[
  {
    "path": ".claude/skills/prompts-writing/SKILL.md",
    "content": "---\nname: prompt-writing\ndescription: Create, refine, and optimize high-quality YAML prompts for AI assistants. Use when working with prompt templates, system prompts, agent prompts, or any prompt engineering tasks. Provides structure guidelines, template patterns, and quality standards for YAML-based prompts.\nlicense: Complete terms in LICENSE.txt\n---\n\n# Prompt Writing\n\nCreate and optimize YAML-based prompts for AI assistants following industry best practices.\n\n## Quick Start\n\n### Standard YAML Prompt Structure\n\n```yaml\nsystem_prompt: |-\n  # Section with ### header\n  ## Subsection with ## header\n  Content with clear structure.\n  \n  **Bold key concepts**\n  \n  - Bullet points for requirements\n  - Consistent indentation (2 spaces)\n  \n  1. Numbered lists for sequences\n  2. Use when order matters\n\nuser_prompt: |\n  Direct instructions with {{ variable placeholders }}\n```\n\n### Key Principles\n\n1. **Structure**: Use `|-` for multi-line system prompts, `|` for user prompts\n2. **Templating**: Use `{{ variable }}` for dynamic content\n3. **Separators**: Use `---` sparingly, only between major sections\n4. **Language**: Keep prompts in consistent language (English recommended for templates)\n\n## Quality Checklist\n\nBefore finalizing any prompt, verify:\n\n- [ ] No unclosed braces `{{` without `}}`\n- [ ] No excessive separators (`---`, `***`)\n- [ ] Consistent heading hierarchy (`###` → `##`)\n- [ ] Clear variable placeholders with descriptive names\n- [ ] Proper YAML indentation preserved\n- [ ] No HTML tags in Markdown content\n- [ ] Lists have parallel structure\n\n## Common Patterns\n\n### System Prompt with Sections\n\n```yaml\nsystem_prompt: |-\n  ### Role Definition\n  You are a professional [role name]. Your task is to [core responsibility].\n  \n  ### Requirements\n  1. First requirement\n  2. Second requirement\n  3. Third requirement\n  \n  ### Guidelines\n  - Do this\n  - Don't do that\n  - Always do this\n  \n  ### Output Format\n  Respond in plain text without separators.\n```\n\n### Jinja2 Template Variables\n\n```yaml\nuser_prompt: |\n  Please analyze the following {{ document_type }}:\n  \n  Name: {{ filename }}\n  Content: {{ content }}\n  \n  Summary ({{ max_words }} words):\n```\n\n## References\n\n- **Best Practices**: See [best-practices.md](best-practices.md) for detailed guidelines\n- **Templates**: See [templates.md](templates.md) for reusable patterns\n- **Examples**: See [examples.md](examples.md) for real-world samples\n\n## Related Tools\n\nWhen working with prompts, also consider:\n\n- YAML validation tools\n- Jinja2 syntax checkers\n- Markdown linters\n"
  },
  {
    "path": ".claude/skills/prompts-writing/examples.md",
    "content": "# Prompt Writing Examples\n\nReal-world YAML prompt examples for AI assistants with explanations.\n\n## 1. Code Review Agent\n\nThis example shows a system prompt for automated code review with specific quality gates.\n\n```yaml\nsystem_prompt: |-\n  ### Role\n  You are a professional code review assistant. Your task is to analyze code and provide constructive feedback.\n\n  ### Review Scope\n  - Code correctness and logic\n  - Performance optimization opportunities\n  - Security vulnerabilities\n  - Code style and readability\n  - Test coverage adequacy\n\n  ### Guidelines\n  - Be specific: cite line numbers and code snippets\n  - Explain why issues matter\n  - Suggest concrete improvements\n  - Balance criticism with positive recognition\n  - Focus on actionable feedback\n\n  ### Output Format\n  Respond in plain text with the following structure:\n  1. Summary of findings\n  2. Critical issues (if any)\n  3. Recommended improvements\n  4. General suggestions\n\nuser_prompt: |\n  Please review the following code:\n\n  File: {{ filename }}\n  Language: {{ language }}\n\n  ```{{ language }}\n  {{ code_content }}\n  ```\n\n  Review focus: {{ review_focus|default('general') }}\n\n  Review:\n```\n\n## 2. Data Analysis Assistant\n\nExample with conditional sections based on available data types.\n\n```yaml\nsystem_prompt: |-\n  ### Role\n  You are a professional data analyst assistant.\n\n  ### Core Task\n  Analyze the provided data and generate actionable insights.\n\n  {%- if data_type == 'timeseries' %}\n  ### Time Series Analysis\n  - Identify trends over time\n  - Detect seasonality patterns\n  - Flag anomalies and outliers\n  {%- endif %}\n\n  {%- if data_type == 'categorical' %}\n  ### Categorical Analysis\n  - Distribution frequency\n  - Cross-tabulation insights\n  - Category relationships\n  {%- endif %}\n\n  ### Visualization Guidelines\n  - Use appropriate chart types\n  - Include axis labels and legends\n  - Add explanatory annotations\n  - Keep designs clean and minimal\n\nuser_prompt: |\n  Data Summary:\n  - Rows: {{ row_count }}\n  - Columns: {{ column_count }}\n  - Data Type: {{ data_type }}\n\n  {%- if column_descriptions %}\n  Column Details:\n  {{ column_descriptions }}\n  {%- endif %}\n\n  Analysis Request:\n  {{ analysis_request }}\n\n  Provide insights in markdown format.\n```\n\n## 3. Translation Agent with Context\n\nExample demonstrating context-aware translation with terminology management.\n\n```yaml\nsystem_prompt: |-\n  ### Role\n  You are a professional translator specializing in {{ source_language }} to {{ target_language }}.\n\n  ### Translation Principles\n  1. Accuracy: Preserve meaning faithfully\n  2. Fluency: Natural target language phrasing\n  3. Consistency: Use consistent terminology\n  4. Cultural Appropriateness: Adapt appropriately\n\n  ### Terminology Constraints\n  {%- if glossary and glossary|length > 0 %}\n  Required terminology:\n  {%- for term in glossary %}\n  - {{ term.source }} → {{ term.target }}\n  {%- endfor %}\n  {%- else %}\n  Use standard terminology for the domain.\n  {%- endif %}\n\n  ### Special Handling\n  - Technical terms: Keep original in parentheses on first mention\n  - Proper nouns: Keep as-is unless official translation exists\n  - Acronyms: Translate on first mention, then use abbreviation\n\nuser_prompt: |\n  Translate the following content:\n\n  Context: {{ translation_context|default('general') }}\n  Tone: {{ tone|default('professional') }}\n\n  Source Text:\n  {{ source_text }}\n\n  {%- if extra_notes %}\n  Additional Notes:\n  {{ extra_notes }}\n  {%- endif %}\n\n  Translation:\n```\n\n## 4. Documentation Generator\n\nExample for auto-generating documentation from source code.\n\n```yaml\nsystem_prompt: |-\n  ### Role\n  You are a technical documentation writer.\n\n  ### Documentation Standards\n  - Clear, concise explanations\n  - Practical examples included\n  - Appropriate detail level for {{ audience|default('developers') }}\n  - Cross-references to related topics\n\n  ### Structure Template\n  ## Overview\n  Brief description of the component.\n\n  ## Installation\n  Prerequisites and setup steps.\n\n  ## Usage\n  Basic usage patterns with examples.\n\n  ## API Reference\n  - Function signatures\n  - Parameter descriptions\n  - Return values\n  - Error conditions\n\n  ## Examples\n  Real-world use cases.\n\nuser_prompt: |\n  Generate documentation for:\n\n  Component: {{ component_name }}\n  Type: {{ component_type|default('function') }}\n  Language: {{ language|default('python') }}\n\n  Source Code:\n  ```{{ language }}\n  {{ source_code }}\n  ```\n\n  {%- if existing_docs %}\n  Reference existing documentation:\n  {{ existing_docs }}\n  {%- endif %}\n\n  Documentation:\n```\n\n## 5. Conversation Summarizer\n\nExample for summarizing chat conversations with speaker attribution.\n\n```yaml\nsystem_prompt: |-\n  ### Role\n  You are a conversation summarization assistant.\n\n  ### Summary Requirements\n  1. Capture key topics and decisions\n  2. Attribute statements to speakers\n  3. Note unresolved items\n  4. Highlight action items with owners\n\n  ### Format\n  - Use speaker labels consistently\n  - Preserve important quotes\n  - Separate distinct topics with blank lines\n  - Mark decisions clearly: **[DECISION]**\n\n  ### Length Guidelines\n  - {{ summary_length|default('concise') }} summary\n  - Maximum {{ max_words|default('200') }} words\n\nuser_prompt: |\n  Summarize this conversation:\n\n  Participants: {{ participants }}\n  Date: {{ conversation_date|default('recent') }}\n\n  {%- for message in conversation_history %}\n  **{{ message.speaker }}**: {{ message.content }}\n  {%- endfor %}\n\n  Summary:\n```\n\n## 6. Prompt Engineering Agent\n\nExample of a meta-prompt for generating other prompts.\n\n```yaml\nsystem_prompt: |-\n  ### Role\n  You are an expert prompt engineer. Your task is to create effective prompts for AI assistants.\n\n  ### Prompt Design Principles\n  1. Clear Role Definition\n  2. Specific Task Description\n  3. Concrete Requirements\n  4. Defined Output Format\n  5. Appropriate Constraints\n\n  ### Structure\n  Use the following sections:\n  - Role: Assistant identity and expertise\n  - Task: Specific objective\n  - Requirements: Must-have criteria\n  - Guidelines: Behavioral instructions\n  - Output Format: Expected structure\n\n  ### Quality Standards\n  - Avoid ambiguity\n  - Use active voice\n  - Limit to essential information\n  - Include examples for clarity\n\nuser_prompt: |\n  Create a prompt for:\n\n  Target Task: {{ target_task }}\n  Target Audience: {{ audience|default('developers') }}\n  Complexity: {{ complexity|default('intermediate') }}\n\n  {%- if specific_requirements %}\n  Must Include:\n  {{ specific_requirements }}\n  {%- endif %}\n\n  {%- if existing_prompt %}\n  Improve this existing prompt:\n  {{ existing_prompt }}\n  {%- endif %}\n\n  Generated Prompt (YAML format):\n```\n\n## 7. Testing Assistant\n\nExample for generating test cases from requirements.\n\n```yaml\nsystem_prompt: |-\n  ### Role\n  You are a QA engineer assistant specialized in test case design.\n\n  ### Test Coverage Goals\n  - Normal paths: Primary user flows\n  - Edge cases: Boundary conditions\n  - Error paths: Failure scenarios\n  - Security: Input validation and injection\n\n  ### Test Case Format\n  ```markdown\n  ## Test Case [ID]\n  **Objective:** [Clear goal]\n  **Preconditions:** [Setup requirements]\n  **Steps:**\n  1. Step one\n  2. Step two\n  **Expected Result:** [What should happen]\n  **Priority:** [High/Medium/Low]\n  ```\n\nuser_prompt: |\n  Generate test cases for:\n\n  Feature: {{ feature_name }}\n  Requirements:\n  {{ requirements_text }}\n\n  {%- if acceptance_criteria %}\n  Acceptance Criteria:\n  {{ acceptance_criteria }}\n  {%- endif %}\n\n  {%- if existing_tests %}\n  Existing Tests (avoid duplication):\n  {{ existing_tests }}\n  {%- endif %}\n\n  Test Cases:\n```\n\n## 8. Email Composer\n\nExample with tone adaptation and email structure.\n\n```yaml\nsystem_prompt: |-\n  ### Role\n  You are a professional email writer.\n\n  ### Tone Guidelines\n  {%- if tone == 'formal' %}\n  - Formal greeting and closing\n  - Professional language\n  - Complete sentences\n  {%- elif tone == 'friendly' %}\n  - Casual greeting\n  - Conversational tone\n  - Contractions acceptable\n  {%- else %}\n  - Balanced professional yet approachable\n  {%- endif %}\n\n  ### Email Structure\n  1. Appropriate greeting\n  2. Clear opening statement\n  3. Main content (organized, scannable)\n  4. Call to action (if applicable)\n  5. Closing\n\n  ### Best Practices\n  - Keep under {{ max_words|default('200') }} words\n  - Use bullet points for lists\n  - Front-load important information\n\nuser_prompt: |\n  Draft an email:\n\n  Recipient: {{ recipient_name }}\n  Relationship: {{ relationship|default('colleague') }}\n  Purpose: {{ email_purpose }}\n\n  Key Points:\n  {{ key_points }}\n\n  {%- if cta %}\n  Call to Action: {{ cta }}\n  {%- endif %}\n\n  {%- if additional_context %}\n  Context:\n  {{ additional_context }}\n  {%- endif %}\n\n  Draft:\n```\n\n## 9. REST API Documentation\n\nExample for documenting API endpoints.\n\n```yaml\nsystem_prompt: |-\n  ### Role\n  You are a technical writer specializing in API documentation.\n\n  ### Documentation Structure\n  ## Endpoint\n  `{{ method }} {{ path }}`\n\n  ## Description\n  {{ description }}\n\n  ## Authentication\n  {%- if auth_type == 'bearer' %}\n  Bearer token required\n  {%- elif auth_type == 'apikey' %}\n  API key required in header\n  {%- elif auth_type == 'none' %}\n  No authentication required\n  {%- else %}\n  {{ auth_type }}\n  {%- endif %}\n\n  ## Request Parameters\n  {%- if path_params %}\n  ### Path Parameters\n  | Name | Type | Required | Description |\n  |------|------|----------|-------------|\n  {%- for param in path_params %}\n  | {{ param.name }} | {{ param.type }} | {{ param.required|default('Yes') }} | {{ param.description }} |\n  {%- endfor %}\n  {%- endif %}\n\n  ## Request Body\n  {%- if request_body %}\n  ```json\n  {{ request_body }}\n  ```\n  {%- else %}\n  No request body.\n  {%- endif %}\n\n  ## Response\n  ### Success Response\n  ```json\n  {{ success_response }}\n  ```\n\n  ### Error Responses\n  | Code | Description |\n  |------|-------------|\n  {%- for error in error_responses %}\n  | {{ error.code }} | {{ error.description }} |\n  {%- endfor %}\n\nuser_prompt: |\n  Document this API endpoint:\n\n  {{ endpoint_details }}\n\n  {%- if examples %}\n  Reference Examples:\n  {{ examples }}\n  {%- endif %}\n\n  Documentation:\n```\n\n## 10. Multi-Language Template\n\nExample demonstrating bilingual prompt structure for international projects.\n\n```yaml\nsystem_prompt: |-\n  ### Role / 角色\n  You are a professional technical writer. / 你是一位专业技术作家。\n\n  ### Core Task / 核心任务\n  {%- if language == 'zh' %}\n  根据提供的技术规范生成文档。\n  {%- else %}\n  Generate documentation based on the provided technical specifications.\n  {%- endif %}\n\n  ### Requirements / 要求\n  1. {{ requirement_1 }}\n  2. {{ requirement_2 }}\n\n  {%- if language == 'zh' %}\n  ### 格式指南\n  - 使用中文标点符号\n  - 保持术语一致性\n  - 清晰的层次结构\n  {%- else %}\n  ### Formatting\n  - Use English punctuation\n  - Maintain terminology consistency\n  - Clear hierarchical structure\n  {%- endif %}\n\nuser_prompt: |\n  Language: {{ language|default('en') }}\n\n  Task: {{ task_description }}\n\n  Specifications:\n  {{ specifications }}\n\n  Output:\n```\n\n## 11. Iterative Refinement Pattern\n\nExample demonstrating progressive prompt improvement.\n\n```yaml\nsystem_prompt: |-\n  ### Role\n  You are a {{ role_name }}.\n\n  ### Initial Task\n  {{ initial_task }}\n\n  {%- if context %}\n  ### Background Context\n  {{ context }}\n  {%- endif %}\n\n  {%- if iterations and iterations|length > 0 %}\n  ### Previous Iterations\n  {%- for iteration in iterations %}\n  Iteration {{ loop.index }}:\n  - Input: {{ iteration.input }}\n  - Output: {{ iteration.output }}\n  - Feedback: {{ iteration.feedback }}\n  {%- endfor %}\n\n  ### Refinement Focus\n  Based on feedback, prioritize: {{ refinement_priority }}\n  {%- endif %}\n\nuser_prompt: |\n  Current request: {{ current_request }}\n\n  {%- if adjustments %}\n  Specific adjustments needed:\n  {{ adjustments }}\n  {%- endif %}\n\n  Response:\n```\n\n## 12. Few-Shot Learning Example\n\nExample with embedded examples for pattern learning.\n\n```yaml\nsystem_prompt: |-\n  ### Role\n  You are a sentiment analysis assistant.\n\n  ### Task\n  Classify the sentiment of given text into one of three categories: positive, negative, or neutral.\n\n  ### Classification Guidelines\n  - **Positive**: Expresses approval, satisfaction, or favorable opinion\n  - **Negative**: Expresses disapproval, dissatisfaction, or unfavorable opinion\n  - **Neutral**: No strong emotional倾向 (inclination) either way\n\n  ### Examples\n\n  **Example 1**\n  Text: \"The product exceeded all my expectations!\"\n  Classification: positive\n\n  **Example 2**\n  Text: \"The service was adequate but nothing special.\"\n  Classification: neutral\n\n  **Example 3**\n  Text: \"Completely wasted my money. Never buying again.\"\n  Classification: negative\n\nuser_prompt: |\n  Classify the sentiment of:\n\n  Text: {{ input_text }}\n\n  {%- if context %}\n  Context: {{ context }}\n  {%- endif %}\n\n  Classification:\n```\n\n## Common Mistakes to Avoid\n\n### Mistake 1: Missing Variable Validation\n\n**Problem:** Unhandled optional variables can cause unexpected output.\n\n```yaml\n# BAD - No fallback for undefined variable\nuser_prompt: |\n  Summary: {{ user_summary }}\n```\n\n**Better:** Use Jinja2 default filter\n```yaml\nuser_prompt: |\n  Summary: {{ user_summary|default('No summary provided') }}\n```\n\n### Mistake 2: Overly Long Prompts\n\n**Problem:** Excessive length reduces model focus and increases costs.\n\n**Better:** Consolidate and prioritize\n```yaml\nsystem_prompt: |-\n  ### Role\n  You are a concise {{ role_type }} assistant.\n\n  ### Core Task\n  {{ primary_task }}\n\n  ### Top 3 Priorities\n  1. {{ priority_1 }}\n  2. {{ priority_2 }}\n  3. {{ priority_3 }}\n```\n\n### Mistake 3: Inconsistent Formatting\n\n**Problem:** Mixed heading levels and list styles confuse the model.\n\n**Better:** Establish and maintain consistent patterns\n```yaml\nsystem_prompt: |-\n  ### Section One\n  Content with consistent style.\n\n  ### Section Two\n  - Bullet point\n  - Another bullet\n\n  ### Section Three\n  1. Numbered item\n  2. Another numbered\n```\n\n## Best Practices Summary\n\n1. **Start with clear role definition**\n2. **Use consistent heading hierarchy**\n3. **Provide concrete examples (few-shot)**\n4. **Handle optional variables gracefully**\n5. **Limit scope to essential information**\n6. **Test prompts with various inputs**\n7. **Iterate based on output quality**\n8. **Document prompt versions**\n\n## Related Resources\n\n- See [best-practices.md](best-practices.md) for detailed guidelines\n- See [templates.md](templates.md) for reusable patterns\n"
  },
  {
    "path": ".claude/skills/prompts-writing/references/best-practices.md",
    "content": "# Prompt Writing Best Practices\n\nThis document provides comprehensive guidelines for creating high-quality YAML prompts.\n\n## 1. YAML Syntax Fundamentals\n\n### Multi-line String Handling\n\n| Syntax | Use Case | Example |\n|--------|----------|---------|\n| `\\|-` | System prompts (strips trailing newline) | `system_prompt: \\|-` |\n| `|` | User prompts (preserves newlines) | `user_prompt: \\|` |\n| `>` | Long single lines (rarely used) | `description: >` |\n\n### Indentation Rules\n\n- Use 2 spaces for indentation (no tabs)\n- Nested structures under each field\n- List items align at parent level\n\n```yaml\nsystem_prompt: |-\n  ### Section Title\n  Content here.\n  \n  - List item 1\n    Nested item (2 spaces)\n  - List item 2\n```\n\n## 2. Structure Guidelines\n\n### Heading Hierarchy\n\nUse headings to create logical sections:\n\n```yaml\nsystem_prompt: |-\n  ### Primary Section (most important)\n  Core role and primary responsibilities.\n  \n  ### Secondary Section\n  Additional requirements.\n  \n  ## Less Important Section\n  Background context.\n  \n  ### Specific Guidelines\n  - Concrete rules\n```\n\n**Rules:**\n- Never skip heading levels (e.g., `###` to `#####`)\n- Maximum heading depth: `####` for most prompts\n- Use `###` for major sections, `####` for subsections\n\n### Separator Usage\n\nSeparators (`---`, `***`) create visual clutter and should be avoided:\n\n**DO:**\n```yaml\nsystem_prompt: |-\n  ### Requirements\n  1. Be concise\n  2. Be clear\n  \n  ### Output Format\n  Plain text response.\n```\n\n**DON'T:**\n```yaml\nsystem_prompt: |-\n  ### Requirements\n  1. Be concise\n  2. Be clear\n  \n  ---\n  \n  ### Output Format\n  Plain text response.\n  \n  ***\n  \n  Additional notes.\n```\n\n**Exception:** Use `---` only when truly separating distinct document types or sections in complex templates.\n\n## 3. Writing Style\n\n### Sentence Structure\n\n**DO:**\n- Use active voice: \"You are a helpful assistant.\"\n- Be direct: \"Generate a summary.\"\n- Keep sentences under 25 words.\n\n**DON'T:**\n- Passive voice: \"A summary should be generated by you.\"\n- Vague instructions: \"Maybe you could try to...\"\n- Run-on sentences.\n\n### Conciseness Principles\n\n**Before (verbose):**\n```\nYou are a document summarization assistant and your main job and responsibility is to read through the document that is provided to you and create a summary of it. You should make sure to...\n```\n\n**After (concise):**\n```\nYou are a professional document summarization assistant. Generate a concise summary based on the provided content.\n```\n\n### List Consistency\n\n**DO (all items parallel):**\n```yaml\n- Be accurate\n- Be concise\n- Be helpful\n```\n\n**DON'T (mixed structures):**\n```yaml\n- Be accurate\n- Creating summaries\n- You should be helpful\n```\n\n### Punctuation Rules\n\n| Element | Rule | Example |\n|---------|------|---------|\n| Lists | Period only if complex sentences | `- Item one` or `- First item. Second sentence.` |\n| Headings | No period at end | `### Requirements` |\n| Variables | Spaces around braces | `{{ filename }}` not `{{filename}}` |\n| Code blocks | Language tag required | ```python |\n\n## 4. Variable Placeholder Standards\n\n### Naming Conventions\n\nUse descriptive, lowercase names with underscores:\n\n| Good | Bad |\n|------|-----|\n| `{{ document_title }}` | `{{ title }}` |\n| `{{ max_word_count }}` | `{{ max }}` |\n| `{{ user_query }}` | `{{ q }}` |\n\n### Variable Types\n\n```yaml\n# String variables\nuser_prompt: |\n  Analyze: {{ document_content }}\n\n# Numeric variables with constraints\nuser_prompt: |\n  Summary ({{ max_words }} words maximum):\n\n# Optional variables (with Jinja2 default)\n{{ time|default('current time') }}\n\n# Conditional variables\n{%- if memory_list and memory_list|length > 0 %}\n  ### Contextual Memory\n  ...\n{%- endif %}\n```\n\n## 5. Common Sections\n\n### Role Definition\n\n```yaml\nsystem_prompt: |-\n  ### Role\n  You are a professional [domain] assistant specialized in [specific task].\n```\n\n### Requirements\n\n```yaml\n  ### Requirements\n  1. First requirement (most important)\n  2. Second requirement\n  3. Third requirement\n```\n\n### Guidelines\n\n```yaml\n  ### Guidelines\n  - Do this (positive instruction)\n  - Don't do that (negative instruction)\n  - Always do this (mandatory)\n```\n\n### Output Format\n\n```yaml\n  ### Output Format\n  Respond in plain text without:\n  - Separators (---, ***)\n  - HTML tags\n  - Special formatting\n```\n\n## 6. Anti-Patterns to Avoid\n\n### Anti-Pattern 1: Excessive Instructions\n\n```yaml\n# BAD - Too many nested rules\nsystem_prompt: |-\n  You are an assistant. Your name is X. You were created by Y.\n  You should always be helpful. Being helpful means you should:\n  1. Greet the user\n  2. Listen carefully\n  3. Respond appropriately\n  ...\n```\n\n**Better:**\n```yaml\nsystem_prompt: |-\n  You are a helpful assistant specialized in {{ task_type }}.\n```\n\n### Anti-Pattern 2: Vague Instructions\n\n```yaml\n# BAD - Not actionable\nsystem_prompt: |-\n  You should do a good job at summarizing. Make sure it's good.\n```\n\n**Better:**\n```yaml\nsystem_prompt: |-\n  ### Task\n  Generate a {{ word_count }}-word summary that captures:\n  - Main topic\n  - Key arguments\n  - Supporting evidence\n```\n\n### Anti-Pattern 3: Mixed Languages\n\n```yaml\n# BAD - Inconsistent language\nsystem_prompt: |-\n  ### Role\n  You are a professional assistant.\n  ### 要求\n  保持简洁。\n```\n\n**Better (choose one language):**\n```yaml\nsystem_prompt: |-\n  ### Role\n  You are a professional assistant.\n  ### Requirements\n  Keep responses concise.\n```\n\n### Anti-Pattern 4: Unbalanced Lists\n\n```yaml\n# BAD - Missing items\n  - Do A\n  - Do B\n  \n# Better - Complete list\n  - Do A\n  - Do B\n  - Do C\n```\n\n## 7. Language Guidelines\n\n### English Prompts\n\n- Use American or British English consistently\n- Prefer simple vocabulary over complex terms\n- Use \"you\" for direct addressing\n\n### Chinese Prompts\n\n- Use Simplified Chinese (简体中文)\n- Follow Chinese punctuation standards\n- Keep technical terms in English when appropriate\n\n### Mixed-Language Projects\n\nWhen maintaining both EN and ZH versions:\n\n```yaml\n# Filename pattern: prompt_name_en.yaml\n# Corresponding file: prompt_name_zh.yaml\n\n# Key terms translation:\n# - \"Requirements\" → \"要求\"\n# - \"Guidelines\" → \"指南\"\n# - \"Output Format\" → \"输出格式\"\n```\n\n## 8. Quality Validation Checklist\n\n### Before Finalizing\n\n```markdown\n□ All braces are balanced ({{ }})\n□ No trailing spaces at line ends\n□ Consistent heading hierarchy\n□ Parallel list structure\n□ Proper YAML indentation (2 spaces)\n□ No HTML tags in Markdown\n□ Variables have descriptive names\n□ Language is consistent throughout\n□ No excessive separators\n□ Sentence case for list items\n```\n\n### Automated Checks\n\nConsider using:\n1. YAML linter (yamllint)\n2. Jinja2 syntax validator\n3. Markdown formatter\n\n## 9. Performance Considerations\n\n### Prompt Length\n\n- System prompts: 500-2000 tokens typical\n- User prompts: 100-500 tokens typical\n- Longer isn't always better—be concise\n\n### Token Efficiency\n\n- Avoid repetitive phrasing\n- Use variables for repeated content\n- Trim unnecessary sections\n\n## 10. Version Control\n\n### File Naming\n\n```yaml\n# Format: {purpose}_{lang}.yaml\nmanager_system_prompt_template_en.yaml\nmanager_system_prompt_template_zh.yaml\ndocument_summary_agent_en.yaml\n```\n\n### Changelog Practices\n\nWhen modifying prompts:\n1. Update file in place\n2. Document significant changes\n3. Consider version history for major revisions\n"
  },
  {
    "path": ".claude/skills/prompts-writing/references/templates.md",
    "content": "# Prompt Templates\n\nThis document provides reusable template patterns for YAML-based prompts.\n\n## 1. Agent System Prompt Template\n\n```yaml\nsystem_prompt: |-\n  ### Basic Information\n  You are {{APP_NAME}}, {{APP_DESCRIPTION}}, it is {{time|default('current time')}} now\n  \n  ### Core Responsibilities\n  {{ duty }}\n  \n  ### Principles\n  Legal Compliance: Strictly adhere to all laws and regulations;\n  Security Protection: Do not respond to dangerous requests;\n  Ethical Guidelines: Refuse harmful content.\n  \n  ### Execution Process\n  1. Think: Analyze the task and plan approach\n  2. Code: Execute using tools/agents\n  3. Observe Results: Review and iterate\n  \n  ### Available Resources\n  {%- if tools and tools.values() | list %}\n  - Available tools:\n  {%- for tool in tools.values() %}\n    - {{ tool.name }}: {{ tool.description }}\n  {%- endfor %}\n  {%- else %}\n  - No tools available\n  {%- endif %}\n  \n  ### Resource Usage Requirements\n  {{ constraint }}\n  \n  ### Example Templates\n  {{ few_shots }}\n\nmanaged_agent:\n  task: |-\n      You are '{{name}}'. Your manager has submitted this task:\n      ---\n      {{task}}\n      ---\n      Provide comprehensive assistance.\n  report: |-\n      {{final_answer}}\n\nplanning:\n  initial_plan: |-\n  \n  update_plan_pre_messages: |-\n  \n  update_plan_post_messages: |-\n    \nfinal_answer:\n  pre_messages: |-\n  \n  post_messages: |-\n```\n\n## 2. Document Summary Agent Template\n\n```yaml\nsystem_prompt: |-\n  You are a professional document summarization assistant.\n  \n  **Summary Requirements:**\n  1. Extract main themes and key topics\n  2. Generate representative summary\n  3. Ensure accuracy and coherence\n  4. Respect word limit\n  \n  **Guidelines:**\n  - Focus on main themes\n  - Highlight important concepts\n  - Use clear, concise language\n  - Avoid redundancy\n  - **Important: No separators, plain text only**\n\nuser_prompt: |\n  Generate a summary for:\n  \n  Document name: {{ filename }}\n  \n  Content snippets:\n  {{ content }}\n  \n  Summary (max {{ max_words }} words):\n```\n\n## 3. Cluster Summary Agent Template\n\n```yaml\nsystem_prompt: |-\n  You are a professional knowledge summarization assistant.\n  \n  **Summary Requirements:**\n  1. Analyze multiple documents\n  2. Extract common themes\n  3. Generate collective summary\n  4. Respect word limit\n  \n  **Guidelines:**\n  - Focus on shared themes\n  - Highlight key concepts\n  - Use concise language\n  - Avoid listing individual titles\n\nuser_prompt: |\n  Summarize this document cluster:\n  \n  {{ cluster_content }}\n  \n  Summary ({{ max_words }} words):\n```\n\n## 4. Image Analysis Template\n\n```yaml\nimage_analysis:\n  system_prompt: |-\n    The user asks: {{ query }}. Describe this image concisely (200 words max).\n    \n    **Requirements:**\n    1. Focus on question-relevant content\n    2. Keep descriptions clear and concise\n    3. Avoid irrelevant details\n    4. Maintain objective description\n    \n  user_prompt: |\n    Observe and describe this image for the user's question.\n```\n\n## 5. Long Text Analysis Template\n\n```yaml\nlong_text_analysis:\n  system_prompt: |-\n    The user asks: {{ query }}. Summarize this text concisely (200 words max).\n    \n    **Requirements:**\n    1. Extract question-relevant content\n    2. Highlight core information\n    3. Preserve key viewpoints\n    4. Avoid redundancy\n    \n  user_prompt: |\n    Read and analyze this text:\n```\n\n## 6. Conditional Content Template\n\n```yaml\nsystem_prompt: |-\n  ### Basic Information\n  You are {{APP_NAME}}.\n  \n  {%- if memory_list and memory_list|length > 0 %}\n  ### Contextual Memory\n  {%- set level_order = ['tenant', 'user_agent', 'user', 'agent'] %}\n  {%- for level in level_order %}\n    {%- if level in memory_by_level %}\n  **{{ level|title }} Level Memory:**\n      {%- for item in memory_by_level[level] %}\n  - {{ item.memory }}\n      {%- endfor %}\n    {%- endif %}\n  {%- endfor %}\n  {%- endif %}\n  \n  ### Core Task\n  {{ duty }}\n```\n\n## 7. Tool-Only Agent Template\n\n```yaml\nsystem_prompt: |-\n  You have access to specific tools only.\n  \n  {%- if tools and tools.values() | list %}\n  ### Available Tools\n  {%- for tool in tools.values() %}\n  - {{ tool.name }}: {{ tool.description }}\n    Input: {{tool.inputs}}\n    Output: {{tool.output_type}}\n  {%- endfor %}\n  {%- else %}\n  - No tools available.\n  {%- endif %}\n  \n  ### Workflow\n  1. Understand the user's request\n  2. Select appropriate tools\n  3. Execute tool calls\n  4. Synthesize results\n  \n  ### Guidelines\n  - Call tools only when needed\n  - Use correct parameters\n  - Handle errors gracefully\n\nuser_prompt: |\n  Task: {{ task }}\n  \n  {%- if context %}\n  Context:\n  {{ context }}\n  {%- endif %}\n  \n  Result:\n```\n\n## 8. Memory Integration Template\n\n```yaml\nsystem_prompt: |-\n  ### Role\n  You are {{agent_name}}.\n  \n  {%- if memory_list and memory_list|length > 0 %}\n  ### Contextual Memory\n  {%- set level_order = ['tenant', 'user_agent', 'user', 'agent'] %}\n  {%- set memory_by_level = memory_list|groupby('memory_level') %}\n  {%- for level in level_order %}\n    {%- for group_level, memories in memory_by_level %}\n      {%- if group_level == level %}\n  \n  **{{ level|title }} Level Memory:**\n        {%- for item in memories %}\n  - {{ item.memory }} `({{ \"%.2f\"|format(item.score|float) }})`\n        {%- endfor %}\n      {%- endif %}\n    {%- endfor %}\n  {%- endfor %}\n  \n  **Memory Usage:**\n  - Conflicts: Earlier items take precedence\n  - Integration: Weave memories naturally\n  {%- endif %}\n  \n  ### Task\n  {{ task }}\n```\n\n## 9. Output Format Specification Template\n\n```yaml\nsystem_prompt: |-\n  ### Role\n  You are {{role_name}}.\n  \n  ### Task\n  {{task_description}}\n  \n  ### Output Requirements\n  1. **Markdown Format:**\n     - Standard Markdown syntax\n     - Single blank line between paragraphs\n     - Inline formulas: $formula$\n     - Block formulas: $$formula$$\n  \n  2. **Reference Marks:**\n     - Format: `[[letter+number]]` (e.g., `[[a1]]`)\n     - Place after relevant sentences\n     - Multiple marks: `[[a1]][[b2]]`\n  \n  3. **Code:**\n     - Use language tags: ```python\n     - Maintain original format\n  \n  4. **Restrictions:**\n     - No HTML tags\n     - No separators\n     - No extra escape characters\n\nuser_prompt: |\n  {{ user_input }}\n  \n  Response:\n```\n\n## 10. Minimal Template\n\nFor simple, focused prompts:\n\n```yaml\nsystem_prompt: |-\n  You are a {{role_type}} assistant. Your task is to {{primary_task}}.\n  \n  Requirements:\n  1. {{requirement_1}}\n  2. {{requirement_2}}\n  \n  Guidelines:\n  - {{guideline_1}}\n  - {{guideline_2}}\n\nuser_prompt: |\n  {{ input_content }}\n  \n  {{ output_instruction }}:\n```\n\n## Template Variables Summary\n\n| Variable | Type | Description | Example |\n|----------|------|-------------|---------|\n| `{{APP_NAME}}` | String | Application name | \"Nexent\" |\n| `{{APP_DESCRIPTION}}` | String | App description | \"An AI assistant\" |\n| `{{time}}` | String/datetime | Current time | \"2024-01-01\" |\n| `{{duty}}` | String | Core responsibilities | \"Summarize documents\" |\n| `{{constraint}}` | String | Resource constraints | \"Max 500 words\" |\n| `{{few_shots}}` | String | Example templates | \"Q:... A:...\" |\n| `{{filename}}` | String | Document filename | \"report.pdf\" |\n| `{{content}}` | String | Document content | \"...\" |\n| `{{max_words}}` | Integer | Word limit | 200 |\n| `{{task}}` | String | Task description | \"Analyze...\" |\n| `{{query}}` | String | User query | \"...\" |\n| `{{memory_list}}` | List | Context memories | [...] |\n"
  },
  {
    "path": ".claude/skills/skill-creator/.openskills.json",
    "content": "{\n  \"source\": \"anthropics/skills\",\n  \"sourceType\": \"git\",\n  \"repoUrl\": \"https://github.com/anthropics/skills\",\n  \"subpath\": \"skills\\\\skill-creator\",\n  \"installedAt\": \"2026-02-04T07:52:42.984Z\"\n}"
  },
  {
    "path": ".claude/skills/skill-creator/LICENSE.txt",
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  },
  {
    "path": ".claude/skills/skill-creator/SKILL.md",
    "content": "---\nname: skill-creator\ndescription: Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.\nlicense: Complete terms in LICENSE.txt\n---\n\n# Skill Creator\n\nThis skill provides guidance for creating effective skills.\n\n## About Skills\n\nSkills are modular, self-contained packages that extend Claude's capabilities by providing\nspecialized knowledge, workflows, and tools. Think of them as \"onboarding guides\" for specific\ndomains or tasks—they transform Claude from a general-purpose agent into a specialized agent\nequipped with procedural knowledge that no model can fully possess.\n\n### What Skills Provide\n\n1. Specialized workflows - Multi-step procedures for specific domains\n2. Tool integrations - Instructions for working with specific file formats or APIs\n3. Domain expertise - Company-specific knowledge, schemas, business logic\n4. Bundled resources - Scripts, references, and assets for complex and repetitive tasks\n\n## Core Principles\n\n### Concise is Key\n\nThe context window is a public good. Skills share the context window with everything else Claude needs: system prompt, conversation history, other Skills' metadata, and the actual user request.\n\n**Default assumption: Claude is already very smart.** Only add context Claude doesn't already have. Challenge each piece of information: \"Does Claude really need this explanation?\" and \"Does this paragraph justify its token cost?\"\n\nPrefer concise examples over verbose explanations.\n\n### Set Appropriate Degrees of Freedom\n\nMatch the level of specificity to the task's fragility and variability:\n\n**High freedom (text-based instructions)**: Use when multiple approaches are valid, decisions depend on context, or heuristics guide the approach.\n\n**Medium freedom (pseudocode or scripts with parameters)**: Use when a preferred pattern exists, some variation is acceptable, or configuration affects behavior.\n\n**Low freedom (specific scripts, few parameters)**: Use when operations are fragile and error-prone, consistency is critical, or a specific sequence must be followed.\n\nThink of Claude as exploring a path: a narrow bridge with cliffs needs specific guardrails (low freedom), while an open field allows many routes (high freedom).\n\n### Anatomy of a Skill\n\nEvery skill consists of a required SKILL.md file and optional bundled resources:\n\n```\nskill-name/\n├── SKILL.md (required)\n│   ├── YAML frontmatter metadata (required)\n│   │   ├── name: (required)\n│   │   └── description: (required)\n│   └── Markdown instructions (required)\n└── Bundled Resources (optional)\n    ├── scripts/          - Executable code (Python/Bash/etc.)\n    ├── references/       - Documentation intended to be loaded into context as needed\n    └── assets/           - Files used in output (templates, icons, fonts, etc.)\n```\n\n#### SKILL.md (required)\n\nEvery SKILL.md consists of:\n\n- **Frontmatter** (YAML): Contains `name` and `description` fields. These are the only fields that Claude reads to determine when the skill gets used, thus it is very important to be clear and comprehensive in describing what the skill is, and when it should be used.\n- **Body** (Markdown): Instructions and guidance for using the skill. Only loaded AFTER the skill triggers (if at all).\n\n#### Bundled Resources (optional)\n\n##### Scripts (`scripts/`)\n\nExecutable code (Python/Bash/etc.) for tasks that require deterministic reliability or are repeatedly rewritten.\n\n- **When to include**: When the same code is being rewritten repeatedly or deterministic reliability is needed\n- **Example**: `scripts/rotate_pdf.py` for PDF rotation tasks\n- **Benefits**: Token efficient, deterministic, may be executed without loading into context\n- **Note**: Scripts may still need to be read by Claude for patching or environment-specific adjustments\n\n##### References (`references/`)\n\nDocumentation and reference material intended to be loaded as needed into context to inform Claude's process and thinking.\n\n- **When to include**: For documentation that Claude should reference while working\n- **Examples**: `references/finance.md` for financial schemas, `references/mnda.md` for company NDA template, `references/policies.md` for company policies, `references/api_docs.md` for API specifications\n- **Use cases**: Database schemas, API documentation, domain knowledge, company policies, detailed workflow guides\n- **Benefits**: Keeps SKILL.md lean, loaded only when Claude determines it's needed\n- **Best practice**: If files are large (>10k words), include grep search patterns in SKILL.md\n- **Avoid duplication**: Information should live in either SKILL.md or references files, not both. Prefer references files for detailed information unless it's truly core to the skill—this keeps SKILL.md lean while making information discoverable without hogging the context window. Keep only essential procedural instructions and workflow guidance in SKILL.md; move detailed reference material, schemas, and examples to references files.\n\n##### Assets (`assets/`)\n\nFiles not intended to be loaded into context, but rather used within the output Claude produces.\n\n- **When to include**: When the skill needs files that will be used in the final output\n- **Examples**: `assets/logo.png` for brand assets, `assets/slides.pptx` for PowerPoint templates, `assets/frontend-template/` for HTML/React boilerplate, `assets/font.ttf` for typography\n- **Use cases**: Templates, images, icons, boilerplate code, fonts, sample documents that get copied or modified\n- **Benefits**: Separates output resources from documentation, enables Claude to use files without loading them into context\n\n#### What to Not Include in a Skill\n\nA skill should only contain essential files that directly support its functionality. Do NOT create extraneous documentation or auxiliary files, including:\n\n- README.md\n- INSTALLATION_GUIDE.md\n- QUICK_REFERENCE.md\n- CHANGELOG.md\n- etc.\n\nThe skill should only contain the information needed for an AI agent to do the job at hand. It should not contain auxilary context about the process that went into creating it, setup and testing procedures, user-facing documentation, etc. Creating additional documentation files just adds clutter and confusion.\n\n### Progressive Disclosure Design Principle\n\nSkills use a three-level loading system to manage context efficiently:\n\n1. **Metadata (name + description)** - Always in context (~100 words)\n2. **SKILL.md body** - When skill triggers (<5k words)\n3. **Bundled resources** - As needed by Claude (Unlimited because scripts can be executed without reading into context window)\n\n#### Progressive Disclosure Patterns\n\nKeep SKILL.md body to the essentials and under 500 lines to minimize context bloat. Split content into separate files when approaching this limit. When splitting out content into other files, it is very important to reference them from SKILL.md and describe clearly when to read them, to ensure the reader of the skill knows they exist and when to use them.\n\n**Key principle:** When a skill supports multiple variations, frameworks, or options, keep only the core workflow and selection guidance in SKILL.md. Move variant-specific details (patterns, examples, configuration) into separate reference files.\n\n**Pattern 1: High-level guide with references**\n\n```markdown\n# PDF Processing\n\n## Quick start\n\nExtract text with pdfplumber:\n[code example]\n\n## Advanced features\n\n- **Form filling**: See [FORMS.md](FORMS.md) for complete guide\n- **API reference**: See [REFERENCE.md](REFERENCE.md) for all methods\n- **Examples**: See [EXAMPLES.md](EXAMPLES.md) for common patterns\n```\n\nClaude loads FORMS.md, REFERENCE.md, or EXAMPLES.md only when needed.\n\n**Pattern 2: Domain-specific organization**\n\nFor Skills with multiple domains, organize content by domain to avoid loading irrelevant context:\n\n```\nbigquery-skill/\n├── SKILL.md (overview and navigation)\n└── reference/\n    ├── finance.md (revenue, billing metrics)\n    ├── sales.md (opportunities, pipeline)\n    ├── product.md (API usage, features)\n    └── marketing.md (campaigns, attribution)\n```\n\nWhen a user asks about sales metrics, Claude only reads sales.md.\n\nSimilarly, for skills supporting multiple frameworks or variants, organize by variant:\n\n```\ncloud-deploy/\n├── SKILL.md (workflow + provider selection)\n└── references/\n    ├── aws.md (AWS deployment patterns)\n    ├── gcp.md (GCP deployment patterns)\n    └── azure.md (Azure deployment patterns)\n```\n\nWhen the user chooses AWS, Claude only reads aws.md.\n\n**Pattern 3: Conditional details**\n\nShow basic content, link to advanced content:\n\n```markdown\n# DOCX Processing\n\n## Creating documents\n\nUse docx-js for new documents. See [DOCX-JS.md](DOCX-JS.md).\n\n## Editing documents\n\nFor simple edits, modify the XML directly.\n\n**For tracked changes**: See [REDLINING.md](REDLINING.md)\n**For OOXML details**: See [OOXML.md](OOXML.md)\n```\n\nClaude reads REDLINING.md or OOXML.md only when the user needs those features.\n\n**Important guidelines:**\n\n- **Avoid deeply nested references** - Keep references one level deep from SKILL.md. All reference files should link directly from SKILL.md.\n- **Structure longer reference files** - For files longer than 100 lines, include a table of contents at the top so Claude can see the full scope when previewing.\n\n## Skill Creation Process\n\nSkill creation involves these steps:\n\n1. Understand the skill with concrete examples\n2. Plan reusable skill contents (scripts, references, assets)\n3. Initialize the skill (run init_skill.py)\n4. Edit the skill (implement resources and write SKILL.md)\n5. Package the skill (run package_skill.py)\n6. Iterate based on real usage\n\nFollow these steps in order, skipping only if there is a clear reason why they are not applicable.\n\n### Step 1: Understanding the Skill with Concrete Examples\n\nSkip this step only when the skill's usage patterns are already clearly understood. It remains valuable even when working with an existing skill.\n\nTo create an effective skill, clearly understand concrete examples of how the skill will be used. This understanding can come from either direct user examples or generated examples that are validated with user feedback.\n\nFor example, when building an image-editor skill, relevant questions include:\n\n- \"What functionality should the image-editor skill support? Editing, rotating, anything else?\"\n- \"Can you give some examples of how this skill would be used?\"\n- \"I can imagine users asking for things like 'Remove the red-eye from this image' or 'Rotate this image'. Are there other ways you imagine this skill being used?\"\n- \"What would a user say that should trigger this skill?\"\n\nTo avoid overwhelming users, avoid asking too many questions in a single message. Start with the most important questions and follow up as needed for better effectiveness.\n\nConclude this step when there is a clear sense of the functionality the skill should support.\n\n### Step 2: Planning the Reusable Skill Contents\n\nTo turn concrete examples into an effective skill, analyze each example by:\n\n1. Considering how to execute on the example from scratch\n2. Identifying what scripts, references, and assets would be helpful when executing these workflows repeatedly\n\nExample: When building a `pdf-editor` skill to handle queries like \"Help me rotate this PDF,\" the analysis shows:\n\n1. Rotating a PDF requires re-writing the same code each time\n2. A `scripts/rotate_pdf.py` script would be helpful to store in the skill\n\nExample: When designing a `frontend-webapp-builder` skill for queries like \"Build me a todo app\" or \"Build me a dashboard to track my steps,\" the analysis shows:\n\n1. Writing a frontend webapp requires the same boilerplate HTML/React each time\n2. An `assets/hello-world/` template containing the boilerplate HTML/React project files would be helpful to store in the skill\n\nExample: When building a `big-query` skill to handle queries like \"How many users have logged in today?\" the analysis shows:\n\n1. Querying BigQuery requires re-discovering the table schemas and relationships each time\n2. A `references/schema.md` file documenting the table schemas would be helpful to store in the skill\n\nTo establish the skill's contents, analyze each concrete example to create a list of the reusable resources to include: scripts, references, and assets.\n\n### Step 3: Initializing the Skill\n\nAt this point, it is time to actually create the skill.\n\nSkip this step only if the skill being developed already exists, and iteration or packaging is needed. In this case, continue to the next step.\n\nWhen creating a new skill from scratch, always run the `init_skill.py` script. The script conveniently generates a new template skill directory that automatically includes everything a skill requires, making the skill creation process much more efficient and reliable.\n\nUsage:\n\n```bash\nscripts/init_skill.py <skill-name> --path <output-directory>\n```\n\nThe script:\n\n- Creates the skill directory at the specified path\n- Generates a SKILL.md template with proper frontmatter and TODO placeholders\n- Creates example resource directories: `scripts/`, `references/`, and `assets/`\n- Adds example files in each directory that can be customized or deleted\n\nAfter initialization, customize or remove the generated SKILL.md and example files as needed.\n\n### Step 4: Edit the Skill\n\nWhen editing the (newly-generated or existing) skill, remember that the skill is being created for another instance of Claude to use. Include information that would be beneficial and non-obvious to Claude. Consider what procedural knowledge, domain-specific details, or reusable assets would help another Claude instance execute these tasks more effectively.\n\n#### Learn Proven Design Patterns\n\nConsult these helpful guides based on your skill's needs:\n\n- **Multi-step processes**: See references/workflows.md for sequential workflows and conditional logic\n- **Specific output formats or quality standards**: See references/output-patterns.md for template and example patterns\n\nThese files contain established best practices for effective skill design.\n\n#### Start with Reusable Skill Contents\n\nTo begin implementation, start with the reusable resources identified above: `scripts/`, `references/`, and `assets/` files. Note that this step may require user input. For example, when implementing a `brand-guidelines` skill, the user may need to provide brand assets or templates to store in `assets/`, or documentation to store in `references/`.\n\nAdded scripts must be tested by actually running them to ensure there are no bugs and that the output matches what is expected. If there are many similar scripts, only a representative sample needs to be tested to ensure confidence that they all work while balancing time to completion.\n\nAny example files and directories not needed for the skill should be deleted. The initialization script creates example files in `scripts/`, `references/`, and `assets/` to demonstrate structure, but most skills won't need all of them.\n\n#### Update SKILL.md\n\n**Writing Guidelines:** Always use imperative/infinitive form.\n\n##### Frontmatter\n\nWrite the YAML frontmatter with `name` and `description`:\n\n- `name`: The skill name\n- `description`: This is the primary triggering mechanism for your skill, and helps Claude understand when to use the skill.\n  - Include both what the Skill does and specific triggers/contexts for when to use it.\n  - Include all \"when to use\" information here - Not in the body. The body is only loaded after triggering, so \"When to Use This Skill\" sections in the body are not helpful to Claude.\n  - Example description for a `docx` skill: \"Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. Use when Claude needs to work with professional documents (.docx files) for: (1) Creating new documents, (2) Modifying or editing content, (3) Working with tracked changes, (4) Adding comments, or any other document tasks\"\n\nDo not include any other fields in YAML frontmatter.\n\n##### Body\n\nWrite instructions for using the skill and its bundled resources.\n\n### Step 5: Packaging a Skill\n\nOnce development of the skill is complete, it must be packaged into a distributable .skill file that gets shared with the user. The packaging process automatically validates the skill first to ensure it meets all requirements:\n\n```bash\nscripts/package_skill.py <path/to/skill-folder>\n```\n\nOptional output directory specification:\n\n```bash\nscripts/package_skill.py <path/to/skill-folder> ./dist\n```\n\nThe packaging script will:\n\n1. **Validate** the skill automatically, checking:\n\n   - YAML frontmatter format and required fields\n   - Skill naming conventions and directory structure\n   - Description completeness and quality\n   - File organization and resource references\n\n2. **Package** the skill if validation passes, creating a .skill file named after the skill (e.g., `my-skill.skill`) that includes all files and maintains the proper directory structure for distribution. The .skill file is a zip file with a .skill extension.\n\nIf validation fails, the script will report the errors and exit without creating a package. Fix any validation errors and run the packaging command again.\n\n### Step 6: Iterate\n\nAfter testing the skill, users may request improvements. Often this happens right after using the skill, with fresh context of how the skill performed.\n\n**Iteration workflow:**\n\n1. Use the skill on real tasks\n2. Notice struggles or inefficiencies\n3. Identify how SKILL.md or bundled resources should be updated\n4. Implement changes and test again\n"
  },
  {
    "path": ".claude/skills/skill-creator/references/output-patterns.md",
    "content": "# Output Patterns\n\nUse these patterns when skills need to produce consistent, high-quality output.\n\n## Template Pattern\n\nProvide templates for output format. Match the level of strictness to your needs.\n\n**For strict requirements (like API responses or data formats):**\n\n```markdown\n## Report structure\n\nALWAYS use this exact template structure:\n\n# [Analysis Title]\n\n## Executive summary\n[One-paragraph overview of key findings]\n\n## Key findings\n- Finding 1 with supporting data\n- Finding 2 with supporting data\n- Finding 3 with supporting data\n\n## Recommendations\n1. Specific actionable recommendation\n2. Specific actionable recommendation\n```\n\n**For flexible guidance (when adaptation is useful):**\n\n```markdown\n## Report structure\n\nHere is a sensible default format, but use your best judgment:\n\n# [Analysis Title]\n\n## Executive summary\n[Overview]\n\n## Key findings\n[Adapt sections based on what you discover]\n\n## Recommendations\n[Tailor to the specific context]\n\nAdjust sections as needed for the specific analysis type.\n```\n\n## Examples Pattern\n\nFor skills where output quality depends on seeing examples, provide input/output pairs:\n\n```markdown\n## Commit message format\n\nGenerate commit messages following these examples:\n\n**Example 1:**\nInput: Added user authentication with JWT tokens\nOutput:\n```\nfeat(auth): implement JWT-based authentication\n\nAdd login endpoint and token validation middleware\n```\n\n**Example 2:**\nInput: Fixed bug where dates displayed incorrectly in reports\nOutput:\n```\nfix(reports): correct date formatting in timezone conversion\n\nUse UTC timestamps consistently across report generation\n```\n\nFollow this style: type(scope): brief description, then detailed explanation.\n```\n\nExamples help Claude understand the desired style and level of detail more clearly than descriptions alone.\n"
  },
  {
    "path": ".claude/skills/skill-creator/references/workflows.md",
    "content": "# Workflow Patterns\n\n## Sequential Workflows\n\nFor complex tasks, break operations into clear, sequential steps. It is often helpful to give Claude an overview of the process towards the beginning of SKILL.md:\n\n```markdown\nFilling a PDF form involves these steps:\n\n1. Analyze the form (run analyze_form.py)\n2. Create field mapping (edit fields.json)\n3. Validate mapping (run validate_fields.py)\n4. Fill the form (run fill_form.py)\n5. Verify output (run verify_output.py)\n```\n\n## Conditional Workflows\n\nFor tasks with branching logic, guide Claude through decision points:\n\n```markdown\n1. Determine the modification type:\n   **Creating new content?** → Follow \"Creation workflow\" below\n   **Editing existing content?** → Follow \"Editing workflow\" below\n\n2. Creation workflow: [steps]\n3. Editing workflow: [steps]\n```"
  },
  {
    "path": ".claude/skills/skill-creator/scripts/init_skill.py",
    "content": "#!/usr/bin/env python3\n\"\"\"\nSkill Initializer - Creates a new skill from template\n\nUsage:\n    init_skill.py <skill-name> --path <path>\n\nExamples:\n    init_skill.py my-new-skill --path skills/public\n    init_skill.py my-api-helper --path skills/private\n    init_skill.py custom-skill --path /custom/location\n\"\"\"\n\nimport sys\nfrom pathlib import Path\n\n\nSKILL_TEMPLATE = \"\"\"---\nname: {skill_name}\ndescription: [TODO: Complete and informative explanation of what the skill does and when to use it. Include WHEN to use this skill - specific scenarios, file types, or tasks that trigger it.]\n---\n\n# {skill_title}\n\n## Overview\n\n[TODO: 1-2 sentences explaining what this skill enables]\n\n## Structuring This Skill\n\n[TODO: Choose the structure that best fits this skill's purpose. Common patterns:\n\n**1. Workflow-Based** (best for sequential processes)\n- Works well when there are clear step-by-step procedures\n- Example: DOCX skill with \"Workflow Decision Tree\" → \"Reading\" → \"Creating\" → \"Editing\"\n- Structure: ## Overview → ## Workflow Decision Tree → ## Step 1 → ## Step 2...\n\n**2. Task-Based** (best for tool collections)\n- Works well when the skill offers different operations/capabilities\n- Example: PDF skill with \"Quick Start\" → \"Merge PDFs\" → \"Split PDFs\" → \"Extract Text\"\n- Structure: ## Overview → ## Quick Start → ## Task Category 1 → ## Task Category 2...\n\n**3. Reference/Guidelines** (best for standards or specifications)\n- Works well for brand guidelines, coding standards, or requirements\n- Example: Brand styling with \"Brand Guidelines\" → \"Colors\" → \"Typography\" → \"Features\"\n- Structure: ## Overview → ## Guidelines → ## Specifications → ## Usage...\n\n**4. Capabilities-Based** (best for integrated systems)\n- Works well when the skill provides multiple interrelated features\n- Example: Product Management with \"Core Capabilities\" → numbered capability list\n- Structure: ## Overview → ## Core Capabilities → ### 1. Feature → ### 2. Feature...\n\nPatterns can be mixed and matched as needed. Most skills combine patterns (e.g., start with task-based, add workflow for complex operations).\n\nDelete this entire \"Structuring This Skill\" section when done - it's just guidance.]\n\n## [TODO: Replace with the first main section based on chosen structure]\n\n[TODO: Add content here. See examples in existing skills:\n- Code samples for technical skills\n- Decision trees for complex workflows\n- Concrete examples with realistic user requests\n- References to scripts/templates/references as needed]\n\n## Resources\n\nThis skill includes example resource directories that demonstrate how to organize different types of bundled resources:\n\n### scripts/\nExecutable code (Python/Bash/etc.) that can be run directly to perform specific operations.\n\n**Examples from other skills:**\n- PDF skill: `fill_fillable_fields.py`, `extract_form_field_info.py` - utilities for PDF manipulation\n- DOCX skill: `document.py`, `utilities.py` - Python modules for document processing\n\n**Appropriate for:** Python scripts, shell scripts, or any executable code that performs automation, data processing, or specific operations.\n\n**Note:** Scripts may be executed without loading into context, but can still be read by Claude for patching or environment adjustments.\n\n### references/\nDocumentation and reference material intended to be loaded into context to inform Claude's process and thinking.\n\n**Examples from other skills:**\n- Product management: `communication.md`, `context_building.md` - detailed workflow guides\n- BigQuery: API reference documentation and query examples\n- Finance: Schema documentation, company policies\n\n**Appropriate for:** In-depth documentation, API references, database schemas, comprehensive guides, or any detailed information that Claude should reference while working.\n\n### assets/\nFiles not intended to be loaded into context, but rather used within the output Claude produces.\n\n**Examples from other skills:**\n- Brand styling: PowerPoint template files (.pptx), logo files\n- Frontend builder: HTML/React boilerplate project directories\n- Typography: Font files (.ttf, .woff2)\n\n**Appropriate for:** Templates, boilerplate code, document templates, images, icons, fonts, or any files meant to be copied or used in the final output.\n\n---\n\n**Any unneeded directories can be deleted.** Not every skill requires all three types of resources.\n\"\"\"\n\nEXAMPLE_SCRIPT = '''#!/usr/bin/env python3\n\"\"\"\nExample helper script for {skill_name}\n\nThis is a placeholder script that can be executed directly.\nReplace with actual implementation or delete if not needed.\n\nExample real scripts from other skills:\n- pdf/scripts/fill_fillable_fields.py - Fills PDF form fields\n- pdf/scripts/convert_pdf_to_images.py - Converts PDF pages to images\n\"\"\"\n\ndef main():\n    print(\"This is an example script for {skill_name}\")\n    # TODO: Add actual script logic here\n    # This could be data processing, file conversion, API calls, etc.\n\nif __name__ == \"__main__\":\n    main()\n'''\n\nEXAMPLE_REFERENCE = \"\"\"# Reference Documentation for {skill_title}\n\nThis is a placeholder for detailed reference documentation.\nReplace with actual reference content or delete if not needed.\n\nExample real reference docs from other skills:\n- product-management/references/communication.md - Comprehensive guide for status updates\n- product-management/references/context_building.md - Deep-dive on gathering context\n- bigquery/references/ - API references and query examples\n\n## When Reference Docs Are Useful\n\nReference docs are ideal for:\n- Comprehensive API documentation\n- Detailed workflow guides\n- Complex multi-step processes\n- Information too lengthy for main SKILL.md\n- Content that's only needed for specific use cases\n\n## Structure Suggestions\n\n### API Reference Example\n- Overview\n- Authentication\n- Endpoints with examples\n- Error codes\n- Rate limits\n\n### Workflow Guide Example\n- Prerequisites\n- Step-by-step instructions\n- Common patterns\n- Troubleshooting\n- Best practices\n\"\"\"\n\nEXAMPLE_ASSET = \"\"\"# Example Asset File\n\nThis placeholder represents where asset files would be stored.\nReplace with actual asset files (templates, images, fonts, etc.) or delete if not needed.\n\nAsset files are NOT intended to be loaded into context, but rather used within\nthe output Claude produces.\n\nExample asset files from other skills:\n- Brand guidelines: logo.png, slides_template.pptx\n- Frontend builder: hello-world/ directory with HTML/React boilerplate\n- Typography: custom-font.ttf, font-family.woff2\n- Data: sample_data.csv, test_dataset.json\n\n## Common Asset Types\n\n- Templates: .pptx, .docx, boilerplate directories\n- Images: .png, .jpg, .svg, .gif\n- Fonts: .ttf, .otf, .woff, .woff2\n- Boilerplate code: Project directories, starter files\n- Icons: .ico, .svg\n- Data files: .csv, .json, .xml, .yaml\n\nNote: This is a text placeholder. Actual assets can be any file type.\n\"\"\"\n\n\ndef title_case_skill_name(skill_name):\n    \"\"\"Convert hyphenated skill name to Title Case for display.\"\"\"\n    return ' '.join(word.capitalize() for word in skill_name.split('-'))\n\n\ndef init_skill(skill_name, path):\n    \"\"\"\n    Initialize a new skill directory with template SKILL.md.\n\n    Args:\n        skill_name: Name of the skill\n        path: Path where the skill directory should be created\n\n    Returns:\n        Path to created skill directory, or None if error\n    \"\"\"\n    # Determine skill directory path\n    skill_dir = Path(path).resolve() / skill_name\n\n    # Check if directory already exists\n    if skill_dir.exists():\n        print(f\"❌ Error: Skill directory already exists: {skill_dir}\")\n        return None\n\n    # Create skill directory\n    try:\n        skill_dir.mkdir(parents=True, exist_ok=False)\n        print(f\"✅ Created skill directory: {skill_dir}\")\n    except Exception as e:\n        print(f\"❌ Error creating directory: {e}\")\n        return None\n\n    # Create SKILL.md from template\n    skill_title = title_case_skill_name(skill_name)\n    skill_content = SKILL_TEMPLATE.format(\n        skill_name=skill_name,\n        skill_title=skill_title\n    )\n\n    skill_md_path = skill_dir / 'SKILL.md'\n    try:\n        skill_md_path.write_text(skill_content)\n        print(\"✅ Created SKILL.md\")\n    except Exception as e:\n        print(f\"❌ Error creating SKILL.md: {e}\")\n        return None\n\n    # Create resource directories with example files\n    try:\n        # Create scripts/ directory with example script\n        scripts_dir = skill_dir / 'scripts'\n        scripts_dir.mkdir(exist_ok=True)\n        example_script = scripts_dir / 'example.py'\n        example_script.write_text(EXAMPLE_SCRIPT.format(skill_name=skill_name))\n        example_script.chmod(0o755)\n        print(\"✅ Created scripts/example.py\")\n\n        # Create references/ directory with example reference doc\n        references_dir = skill_dir / 'references'\n        references_dir.mkdir(exist_ok=True)\n        example_reference = references_dir / 'api_reference.md'\n        example_reference.write_text(EXAMPLE_REFERENCE.format(skill_title=skill_title))\n        print(\"✅ Created references/api_reference.md\")\n\n        # Create assets/ directory with example asset placeholder\n        assets_dir = skill_dir / 'assets'\n        assets_dir.mkdir(exist_ok=True)\n        example_asset = assets_dir / 'example_asset.txt'\n        example_asset.write_text(EXAMPLE_ASSET)\n        print(\"✅ Created assets/example_asset.txt\")\n    except Exception as e:\n        print(f\"❌ Error creating resource directories: {e}\")\n        return None\n\n    # Print next steps\n    print(f\"\\n✅ Skill '{skill_name}' initialized successfully at {skill_dir}\")\n    print(\"\\nNext steps:\")\n    print(\"1. Edit SKILL.md to complete the TODO items and update the description\")\n    print(\"2. Customize or delete the example files in scripts/, references/, and assets/\")\n    print(\"3. Run the validator when ready to check the skill structure\")\n\n    return skill_dir\n\n\ndef main():\n    if len(sys.argv) < 4 or sys.argv[2] != '--path':\n        print(\"Usage: init_skill.py <skill-name> --path <path>\")\n        print(\"\\nSkill name requirements:\")\n        print(\"  - Hyphen-case identifier (e.g., 'data-analyzer')\")\n        print(\"  - Lowercase letters, digits, and hyphens only\")\n        print(\"  - Max 40 characters\")\n        print(\"  - Must match directory name exactly\")\n        print(\"\\nExamples:\")\n        print(\"  init_skill.py my-new-skill --path skills/public\")\n        print(\"  init_skill.py my-api-helper --path skills/private\")\n        print(\"  init_skill.py custom-skill --path /custom/location\")\n        sys.exit(1)\n\n    skill_name = sys.argv[1]\n    path = sys.argv[3]\n\n    print(f\"🚀 Initializing skill: {skill_name}\")\n    print(f\"   Location: {path}\")\n    print()\n\n    result = init_skill(skill_name, path)\n\n    if result:\n        sys.exit(0)\n    else:\n        sys.exit(1)\n\n\nif __name__ == \"__main__\":\n    main()\n"
  },
  {
    "path": ".claude/skills/skill-creator/scripts/package_skill.py",
    "content": "#!/usr/bin/env python3\n\"\"\"\nSkill Packager - Creates a distributable .skill file of a skill folder\n\nUsage:\n    python utils/package_skill.py <path/to/skill-folder> [output-directory]\n\nExample:\n    python utils/package_skill.py skills/public/my-skill\n    python utils/package_skill.py skills/public/my-skill ./dist\n\"\"\"\n\nimport sys\nimport zipfile\nfrom pathlib import Path\nfrom quick_validate import validate_skill\n\n\ndef package_skill(skill_path, output_dir=None):\n    \"\"\"\n    Package a skill folder into a .skill file.\n\n    Args:\n        skill_path: Path to the skill folder\n        output_dir: Optional output directory for the .skill file (defaults to current directory)\n\n    Returns:\n        Path to the created .skill file, or None if error\n    \"\"\"\n    skill_path = Path(skill_path).resolve()\n\n    # Validate skill folder exists\n    if not skill_path.exists():\n        print(f\"❌ Error: Skill folder not found: {skill_path}\")\n        return None\n\n    if not skill_path.is_dir():\n        print(f\"❌ Error: Path is not a directory: {skill_path}\")\n        return None\n\n    # Validate SKILL.md exists\n    skill_md = skill_path / \"SKILL.md\"\n    if not skill_md.exists():\n        print(f\"❌ Error: SKILL.md not found in {skill_path}\")\n        return None\n\n    # Run validation before packaging\n    print(\"🔍 Validating skill...\")\n    valid, message = validate_skill(skill_path)\n    if not valid:\n        print(f\"❌ Validation failed: {message}\")\n        print(\"   Please fix the validation errors before packaging.\")\n        return None\n    print(f\"✅ {message}\\n\")\n\n    # Determine output location\n    skill_name = skill_path.name\n    if output_dir:\n        output_path = Path(output_dir).resolve()\n        output_path.mkdir(parents=True, exist_ok=True)\n    else:\n        output_path = Path.cwd()\n\n    skill_filename = output_path / f\"{skill_name}.skill\"\n\n    # Create the .skill file (zip format)\n    try:\n        with zipfile.ZipFile(skill_filename, 'w', zipfile.ZIP_DEFLATED) as zipf:\n            # Walk through the skill directory\n            for file_path in skill_path.rglob('*'):\n                if file_path.is_file():\n                    # Calculate the relative path within the zip\n                    arcname = file_path.relative_to(skill_path.parent)\n                    zipf.write(file_path, arcname)\n                    print(f\"  Added: {arcname}\")\n\n        print(f\"\\n✅ Successfully packaged skill to: {skill_filename}\")\n        return skill_filename\n\n    except Exception as e:\n        print(f\"❌ Error creating .skill file: {e}\")\n        return None\n\n\ndef main():\n    if len(sys.argv) < 2:\n        print(\"Usage: python utils/package_skill.py <path/to/skill-folder> [output-directory]\")\n        print(\"\\nExample:\")\n        print(\"  python utils/package_skill.py skills/public/my-skill\")\n        print(\"  python utils/package_skill.py skills/public/my-skill ./dist\")\n        sys.exit(1)\n\n    skill_path = sys.argv[1]\n    output_dir = sys.argv[2] if len(sys.argv) > 2 else None\n\n    print(f\"📦 Packaging skill: {skill_path}\")\n    if output_dir:\n        print(f\"   Output directory: {output_dir}\")\n    print()\n\n    result = package_skill(skill_path, output_dir)\n\n    if result:\n        sys.exit(0)\n    else:\n        sys.exit(1)\n\n\nif __name__ == \"__main__\":\n    main()\n"
  },
  {
    "path": ".claude/skills/skill-creator/scripts/quick_validate.py",
    "content": "#!/usr/bin/env python3\n\"\"\"\nQuick validation script for skills - minimal version\n\"\"\"\n\nimport sys\nimport os\nimport re\nimport yaml\nfrom pathlib import Path\n\ndef validate_skill(skill_path):\n    \"\"\"Basic validation of a skill\"\"\"\n    skill_path = Path(skill_path)\n\n    # Check SKILL.md exists\n    skill_md = skill_path / 'SKILL.md'\n    if not skill_md.exists():\n        return False, \"SKILL.md not found\"\n\n    # Read and validate frontmatter\n    content = skill_md.read_text()\n    if not content.startswith('---'):\n        return False, \"No YAML frontmatter found\"\n\n    # Extract frontmatter\n    match = re.match(r'^---\\n(.*?)\\n---', content, re.DOTALL)\n    if not match:\n        return False, \"Invalid frontmatter format\"\n\n    frontmatter_text = match.group(1)\n\n    # Parse YAML frontmatter\n    try:\n        frontmatter = yaml.safe_load(frontmatter_text)\n        if not isinstance(frontmatter, dict):\n            return False, \"Frontmatter must be a YAML dictionary\"\n    except yaml.YAMLError as e:\n        return False, f\"Invalid YAML in frontmatter: {e}\"\n\n    # Define allowed properties\n    ALLOWED_PROPERTIES = {'name', 'description', 'license', 'allowed-tools', 'metadata'}\n\n    # Check for unexpected properties (excluding nested keys under metadata)\n    unexpected_keys = set(frontmatter.keys()) - ALLOWED_PROPERTIES\n    if unexpected_keys:\n        return False, (\n            f\"Unexpected key(s) in SKILL.md frontmatter: {', '.join(sorted(unexpected_keys))}. \"\n            f\"Allowed properties are: {', '.join(sorted(ALLOWED_PROPERTIES))}\"\n        )\n\n    # Check required fields\n    if 'name' not in frontmatter:\n        return False, \"Missing 'name' in frontmatter\"\n    if 'description' not in frontmatter:\n        return False, \"Missing 'description' in frontmatter\"\n\n    # Extract name for validation\n    name = frontmatter.get('name', '')\n    if not isinstance(name, str):\n        return False, f\"Name must be a string, got {type(name).__name__}\"\n    name = name.strip()\n    if name:\n        # Check naming convention (hyphen-case: lowercase with hyphens)\n        if not re.match(r'^[a-z0-9-]+$', name):\n            return False, f\"Name '{name}' should be hyphen-case (lowercase letters, digits, and hyphens only)\"\n        if name.startswith('-') or name.endswith('-') or '--' in name:\n            return False, f\"Name '{name}' cannot start/end with hyphen or contain consecutive hyphens\"\n        # Check name length (max 64 characters per spec)\n        if len(name) > 64:\n            return False, f\"Name is too long ({len(name)} characters). Maximum is 64 characters.\"\n\n    # Extract and validate description\n    description = frontmatter.get('description', '')\n    if not isinstance(description, str):\n        return False, f\"Description must be a string, got {type(description).__name__}\"\n    description = description.strip()\n    if description:\n        # Check for angle brackets\n        if '<' in description or '>' in description:\n            return False, \"Description cannot contain angle brackets (< or >)\"\n        # Check description length (max 1024 characters per spec)\n        if len(description) > 1024:\n            return False, f\"Description is too long ({len(description)} characters). Maximum is 1024 characters.\"\n\n    return True, \"Skill is valid!\"\n\nif __name__ == \"__main__\":\n    if len(sys.argv) != 2:\n        print(\"Usage: python quick_validate.py <skill_directory>\")\n        sys.exit(1)\n    \n    valid, message = validate_skill(sys.argv[1])\n    print(message)\n    sys.exit(0 if valid else 1)"
  },
  {
    "path": ".cursor/rules/backend/app_layer_rules.mdc",
    "content": "---\nglobs: backend/apps/**/*.py\ndescription: App layer (API) contract for FastAPI endpoints in backend/apps. Parse/validate input, call services, map domain errors to HTTP, return JSONResponse on success.\n---\n\n### Purpose and Scope\n\n- The App layer is the HTTP boundary for the backend. It applies to files under `backend/apps/*.py`.\n- Responsibilities:\n  - Parse and validate HTTP inputs.\n  - Call underlying services; do not implement core business logic here.\n  - Translate domain/service exceptions into `HTTPException` with proper status codes.\n  - Return `JSONResponse(status_code=HTTPStatus.OK, content=payload)` on success.\n- Configuration: Do not access environment variables directly. Read configuration via `consts.const` or pass values through from the request to services.\n\nReferences: [backend/consts/exceptions.py](mdc:backend/consts/exceptions.py)\n\n### Routing and URL Design\n\n- Keep existing top-level prefixes for compatibility (e.g., `\"/agent\"`, `\"/memory\"`). When adding new modules or endpoints, follow these rules:\n  - Use plural nouns for collection-style resources (e.g., `\"/agents\"`, `\"/memories\"`).\n  - Use snake_case for all path segments. Avoid hyphens and camelCase.\n  - Prefer resource-oriented paths for CRUD-style operations. Example: `\"/agents\"` (collection), `\"/agents/{agent_id}\"` (single resource).\n  - Use action-style paths only when necessary to match current patterns or when the operation is not naturally CRUD (e.g., `\"/agent/run\"`, `\"/agent/stop/{conversation_id}\"`).\n  - Path parameters must be singular, semantic nouns: `\"/agents/{agent_id}\"`, `\"/memories/{memory_id}\"`.\n  - Keep backwards compatibility: do not rename existing routes; new routes should follow these conventions.\n\n### HTTP Methods\n\n- GET: Read and list operations only. Maintain existing special cases where GET performs safe actions (e.g., `GET /agent/stop/{conversation_id}`), but do not introduce new side-effecting GETs.\n- POST: Create resources, perform searches, or trigger actions with side effects (e.g., `POST /memory/add`, `POST /memory/search`, `POST /agent/run`).\n- DELETE: Delete resources or clear collections (e.g., `DELETE /memory/clear`). Ensure idempotency.\n- PUT/PATCH: Update resources. Prefer `PUT` for full updates and `PATCH` for partial updates. Preserve legacy `POST /update` endpoints for compatibility but favor PUT/PATCH for new code.\n\n### Authorization and Identity\n\n- Retrieve the bearer token via header injection: `authorization: Optional[str] = Header(None)`.\n- Use utility helpers to parse identity (prefer functions in `utils.auth_utils`, such as `get_current_user_id` or `get_current_user_info`) and pass `user_id` and/or `tenant_id` down to services. The App layer should not implement token parsing logic itself.\n\n### Request Validation\n\n- Prefer Pydantic models in `consts.model` as request bodies for complex payloads (e.g., `AgentRequest`).\n- For simple atomic fields, use `Body(..., embed=True)` to pin the JSON key name.\n- Use `Query(...)` for filters and pagination, `Path(...)` for path parameters, and `Header(...)` for headers.\n- Pagination recommendations for listing endpoints: `page: int = Query(1, ge=1)`, `page_size: int = Query(20, ge=1, le=100)`, plus optional `order_by`, `filters` as appropriate. Return pagination metadata (`items`, `total`) or match existing return shapes in the codebase.\n\n### Responses\n\n- On success, return `JSONResponse(status_code=HTTPStatus.OK, content=payload)`.\n- If a standard response model exists in the project (e.g., conversation responses), continue to use it for consistency.\n- For new endpoints, return a structured content dictionary with necessary fields (e.g., `{\"data\": ..., \"message\": \"OK\"}`) while staying consistent with existing patterns.\n\n### Exception Mapping\n\n- Catch domain/service exceptions from `backend/consts/exceptions.py` and map to `HTTPException` with appropriate status codes. Examples:\n  - `UnauthorizedError` → 401 UNAUTHORIZED\n  - `LimitExceededError` → 429 TOO_MANY_REQUESTS\n  - Parameter/validation errors (e.g., invalid enum, unknown config key) → 400 BAD_REQUEST or 406 NOT_ACCEPTABLE (follow existing precedent such as `set_single_config` using 406)\n  - Unexpected errors → 500 INTERNAL_SERVER_ERROR (log the error; do not leak internal details)\n\n### Logging and Observability\n\n- Use a module-level logger: `logger = logging.getLogger(\"<module_name>\")`.\n- Log key events and errors. For listing/search endpoints, optionally log query scope and timing while avoiding sensitive data.\n\n### Async/Sync Conventions\n\n- Match the existing style in each module. Keep `async def` where already used.\n- When calling async services, prefer direct `await`. When calling sync services, invoke them directly without creating new event loops.\n\n### Backward Compatibility\n\n- Do not break existing routes, payload shapes, or response structures.\n- New endpoints should follow these conventions strictly to converge the API style across modules.\n\n### Correct Example (parse input, call service, map exceptions, return JSONResponse)\n```python\nfrom http import HTTPStatus\nimport logging\nfrom fastapi import APIRouter, HTTPException\nfrom starlette.responses import JSONResponse\n\nfrom consts.exceptions import LimitExceededError, AgentRunException, MemoryPreparationException\nfrom services.agent_service import run_agent\n\nlogger = logging.getLogger(__name__)\nrouter = APIRouter()\n\n@router.post(\"/agent/run\")\ndef run_agent_endpoint(payload: dict):\n    try:\n        result = run_agent(payload)\n        return JSONResponse(status_code=HTTPStatus.OK, content=result)\n    except LimitExceededError as exc:\n        raise HTTPException(status_code=HTTPStatus.TOO_MANY_REQUESTS, detail=str(exc))\n    except MemoryPreparationException as exc:\n        raise HTTPException(status_code=HTTPStatus.BAD_REQUEST, detail=str(exc))\n    except AgentRunException as exc:\n        raise HTTPException(status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=str(exc))\n```\n\n### Incorrect Example (business logic in App layer or non-HTTP error handling)\n```python\nfrom starlette.responses import JSONResponse\n\ndef run_agent_endpoint(payload: dict):\n    # WRONG: performing core business logic inside the app layer\n    if payload.get(\"force\"):\n        return {\"status\": \"forced\"}  # WRONG: returns plain dict without HTTP status context\n\n    # WRONG: not translating domain errors to HTTP\n    result = risky_logic(payload)\n    return JSONResponse(result)\n```"
  },
  {
    "path": ".cursor/rules/backend/database_layer_rules.mdc",
    "content": "---\nglobs: backend/database/**/*.py\ndescription: Database layer standards for models, CRUD, transactions, and exceptions\n---\n\n# Database Layer Standards\n\nScope: all Python under `backend/database/**/*.py`. Concise standards for models, CRUD, transactions, and exceptions.\n\n- Models: define in [backend/database/db_models.py](mdc:backend/database/db_models.py).\n- Sessions: use `get_db_session()` from [backend/database/client.py](mdc:backend/database/client.py).\n- Exceptions: share a DB exception type in [backend/consts/exceptions.py](mdc:backend/consts/exceptions.py).\n- SQLAlchemy Core: prefer `insert`/`update`/`select` with `session.execute()`/`session.scalars()`; ORM `session.add()` is allowed but not default.\n\n## 1) Models and audit fields\n- Inherit all models from `TableBase`.\n- Shared fields: `create_time`, `update_time`, `created_by`, `updated_by`, `delete_flag` (`Y`/`N`).\n- Never re-declare shared fields; add only table-specific columns.\n\n## 2) CRUD and audit\n- Create: set `created_by`, `updated_by`, default `delete_flag='N'`; timestamps are server-managed.\n- Update: set `updated_by`; do not change `create_time`/`created_by`.\n- Delete: soft-delete only (`delete_flag='Y'`, set `updated_by`). Cascade by soft-deleting children in same transaction when needed.\n- Read: exclude soft-deleted rows by default (`delete_flag='N'`).\n\n## 3) Transactions and sessions\n- Always use `with get_db_session() as session:`.\n- Never call `commit()`, `rollback()`, or `close()` in DB-layer code.\n- The context manager centrally handles commit/rollback/close.\n\n## 4) Exceptions\n- Do not catch DB exceptions in `backend/database/**`; let them propagate.\n- Central handling occurs in `get_db_session()`.\n- Services that must proceed non-blockingly may catch a shared type (e.g., `DatabaseOperationError`).\n\n## 5) Exception flow (inside get_db_session)\n- On exception: `rollback` → re-raise → `close` → propagate to callers.\n\n## 6) Reference patterns (Core; no explicit commit/rollback)\n```python\nfrom sqlalchemy import insert, update, select\nfrom database.client import get_db_session, as_dict\n\ndef create_entity(data: dict):\n    with get_db_session() as session:\n        return session.execute(\n            insert(SomeModel).values(**data).returning(SomeModel.id)\n        ).scalar_one()\n\ndef update_entity(entity_id: int, updates: dict, actor: str):\n    with get_db_session() as session:\n        session.execute(\n            update(SomeModel)\n            .where(SomeModel.id == entity_id, SomeModel.delete_flag == 'N')\n            .values(**updates, updated_by=actor)\n        )\n\ndef soft_delete_entity(entity_id: int, actor: str):\n    with get_db_session() as session:\n        session.execute(\n            update(SomeModel)\n            .where(SomeModel.id == entity_id, SomeModel.delete_flag == 'N')\n            .values(delete_flag='Y', updated_by=actor)\n        )\n\ndef read_active_entity(entity_id: int):\n    with get_db_session() as session:\n        record = session.scalars(\n            select(SomeModel).where(\n                SomeModel.id == entity_id,\n                SomeModel.delete_flag == 'N',\n            )\n        ).first()\n        return None if record is None else as_dict(record)\n```\n\n## 7) Validation checklist\n- All models inherit `TableBase`; no duplicated audit fields.\n- Deletes are soft deletes (`delete_flag='Y'`) and set `updated_by`.\n- No direct `commit`/`rollback`/`close` outside `get_db_session()`.\n- No DB exception catching in `backend/database/` modules.\n- Reads default to `delete_flag='N'`.\n- Services that must proceed on failure catch a shared DB exception type in `consts.exceptions`.\n"
  },
  {
    "path": ".cursor/rules/backend/service_layer_rules.mdc",
    "content": "---\nglobs: backend/services/**/*.py\ndescription: Service layer implements core business logic orchestration; raise custom exceptions; no HTTP handling\n---\n\n### Service Layer Rules\n\n- **Scope**: Applies to `backend/services/*.py`.\n- **Goal**: Implement core business logic and orchestrate complex workflows. Coordinate repositories/SDKs. Keep HTTP concerns out of this layer.\n- **Exceptions**: Raise domain/service exceptions declared in `backend/consts/exceptions.py`. If a new case is needed, add a new class there, then raise it here. Do not translate to HTTP here.\n- **Environment variables**: Do not access `os.getenv()` directly. Read configuration from `consts.const` (see `environment_variable` rule) or accept parameters.\n\nReference: [backend/consts/exceptions.py](mdc:backend/consts/exceptions.py)\n\n### Correct example (service orchestrates business logic and raises domain exceptions)\n```python\n# backend/services/agent_service.py\nfrom typing import Any, Dict\n\nfrom consts.exceptions import LimitExceededError, AgentRunException, MemoryPreparationException\n# from consts.const import APPID, TOKEN  # Example: read config via consts, not os.getenv\n\n\ndef run_agent(task_payload: Dict[str, Any]) -> Dict[str, Any]:\n    \"\"\"Run agent core workflow and return domain result dict.\n    Raises domain exceptions on failure; no HTTP concerns here.\n    \"\"\"\n    if _is_rate_limited(task_payload):\n        raise LimitExceededError(\"Too many requests for this tenant.\")\n\n    try:\n        memory = _prepare_memory(task_payload)\n    except Exception as exc:\n        # Wrap low-level error in a domain exception for the app layer to translate\n        raise MemoryPreparationException(\"Failed to prepare memory.\") from exc\n\n    try:\n        result = _execute_core_logic(task_payload, memory)\n    except Exception as exc:\n        raise AgentRunException(\"Agent execution failed.\") from exc\n\n    # Return a plain Python object, not a Response\n    return {\"status\": \"ok\", \"data\": result}\n\n\ndef _is_rate_limited(_: Dict[str, Any]) -> bool:\n    return False\n\n\ndef _prepare_memory(_: Dict[str, Any]) -> Dict[str, Any]:\n    return {\"memo\": \"prepared\"}\n\n\ndef _execute_core_logic(_: Dict[str, Any], __: Dict[str, Any]) -> Dict[str, Any]:\n    return {\"answer\": \"42\"}\n```\n\n### Incorrect example (service leaks HTTP/web concerns or reads env directly)\n```python\n# backend/services/agent_service.py\nfrom fastapi import HTTPException  # WRONG: HTTP in service\nfrom starlette.responses import JSONResponse  # WRONG: Response in service\nimport os  # WRONG: direct env access in service\n\n\ndef run_agent(_: dict):\n    # WRONG: translating to HTTP inside service\n    if os.getenv(\"RATE_LIMIT\", \"0\") == \"1\":  # WRONG: direct getenv here\n        raise HTTPException(status_code=429, detail=\"Too many requests\")\n\n    # WRONG: returning framework response from service\n    return JSONResponse({\"status\": \"ok\"})\n```\n\n### Declaring a new custom exception (do this in exceptions module)\n```python\n# backend/consts/exceptions.py\nclass OrderProcessingError(Exception):\n    \"\"\"Raised when order processing fails in service layer.\"\"\"\n    pass\n```\n\n### Existing exceptions (excerpt from current code)\n```python\n\"\"\"\nCustom exception classes for the application.\n\"\"\"\n\n\nclass AgentRunException(Exception):\n    \"\"\"Exception raised when agent run fails.\"\"\"\n    pass\n\n\nclass LimitExceededError(Exception):\n    \"\"\"Raised when an outer platform calling too frequently\"\"\"\n    pass\n\n\nclass UnauthorizedError(Exception):\n    \"\"\"Raised when a user from outer platform is unauthorized.\"\"\"\n    pass\n\n\nclass SignatureValidationError(Exception):\n    \"\"\"Raised when X-Signature header is missing or does not match the expected HMAC value.\"\"\"\n    pass\n\n\nclass MemoryPreparationException(Exception):\n    \"\"\"Raised when memory preprocessing or retrieval fails prior to agent run.\"\"\"\n    pass\n```"
  },
  {
    "path": ".cursor/rules/english_comments.mdc",
    "content": "---\nalwaysApply: true\ndescription: Enforce English-only comments and docstrings across the codebase\n---\n# English-only Comments\n\n- All comments and docstrings must be written in clear, concise English.\n- Do not use non-English characters in comments (string literals may contain any language).\n- Use proper grammar and spelling; avoid ambiguous abbreviations.\n\n## Do\n```python\n# Initialize cache for 60 seconds\nself.cache_ttl = 60\n```\n\n## Don't\n```python\n# 初始化缓存 60 秒 - FORBIDDEN\n# データキャッシュ60秒 - FORBIDDEN\n# 데이터 캐시 60초 - FORBIDDEN\n```\n\n## Scope\n- Docstrings, inline comments, TODO/FIXME/NOTE, header comments\n- Configuration comments in YAML/JSON and other config files\n\n## Validation Checklist\n- All comments are in English\n- Docstrings use proper English grammar\n- No non-Latin characters in comments (except inside strings)\n- Comments are clear and provide value\n\n## Optional Automation\n- Pre-commit hook to detect non-English comments\n- IDE extensions for real-time detection\n- CI checks for compliance"
  },
  {
    "path": ".cursor/rules/environment_variable.mdc",
    "content": "---\nglobs: backend/**/*.py,sdk/**/*.py\nalwaysApply: false\ndescription: Centralize env var access in backend/consts/const.py; no direct os.getenv outside\n---\n# Environment Variables: Single Source of Truth\n\nAll environment variable access must go through [backend/consts/const.py](mdc:backend/consts/const.py). No direct `os.getenv()` or `os.environ.get()` calls elsewhere.\n\n## Do\n```python\n# backend/consts/const.py\nAPPID = os.getenv(\"APPID\", \"\")\nTOKEN = os.getenv(\"TOKEN\", \"\")\n\n# other modules\nfrom consts.const import APPID, TOKEN\n```\n\n## Don't\n```python\n# direct calls in other modules\nimport os\nappid = os.getenv(\"APPID\")\ntoken = os.environ.get(\"TOKEN\")\n```\n\n## Architecture\n- **Single source**: Only `backend/consts/const.py` may read env vars.\n- **SDK (`sdk/`)**: Never read env. Accept configuration via parameters. Remove `from_env()`.\n- **Services (`backend/services/`)**: Read from `consts.const`; pass config to SDK.\n- **Apps (`backend/apps/`)**: Read from `consts.const`; pass through to services/SDK. No business logic here.\n\n## Migration checklist\n1. Add new vars to `backend/consts/const.py`.\n2. Update `.env.example`.\n3. Remove all direct `os.getenv()`/`os.environ.get()` outside `const.py`.\n4. Import from `consts.const` in backend modules.\n5. Pass configuration as parameters to SDK.\n6. Remove `from_env()` methods from config classes.\n7. Update service constructors to read from `const.py`.\n\n## Validation\n- No direct env access outside `const.py`.\n- No `from_env()` in config classes.\n- All env vars defined in `const.py`.\n- SDK modules accept configuration via parameters. "
  },
  {
    "path": ".cursor/rules/frontend/component_layer_rules.mdc",
    "content": "---\nglobs: frontend/components/**/*.tsx,frontend/app/**/components/**/*.tsx\ndescription: Component layer rules for reusable and feature-specific UI components\n---\n\n### Purpose and Scope\n\n- Component layer contains reusable UI components for `frontend/components/**/*.tsx` and feature-specific components under `frontend/app/**/components/**/*.tsx`\n- Responsibilities: Create reusable components, implement business logic, handle interactions, provide consistent UI\n- **MANDATORY**: All components must use TypeScript and functional components\n\n### UI Library and Icons\n\n- **Ant Design first**: Use Ant Design for forms, data display, modals, buttons, layouts. See [ui_standards_rules.mdc](mdc:frontend/ui_standards_rules.mdc).\n- **Icons**: Lucide icons primary (`lucide-react`), `@ant-design/icons` as fallback when Lucide lacks the icon.\n\n```tsx\n// Prefer Lucide\nimport { Search, RefreshCw, Edit } from \"lucide-react\";\n\n// Fallback when Lucide has no equivalent (e.g. ExclamationCircleFilled for modal)\nimport { ExclamationCircleFilled, InfoCircleFilled } from \"@ant-design/icons\";\n```\n\n### Component Organization\n\n- **`components/auth/`** - Authentication-related components\n- **`components/providers/`** - Context providers and global state management\n\n### Component Structure\n\n- Use functional components with TypeScript\n- Define proper interfaces for all props\n- Use React hooks for state management\n- Implement proper error boundaries where needed\n- Follow single responsibility principle\n- **Single component file should not exceed ~1000 lines**: Split into subcomponents or extract logic to hooks/utils when a file grows. keep files digestible.\n\n### Props and State Management\n\n- All props must be typed with interfaces\n- Use optional props with default values when appropriate\n- Prefer controlled components over uncontrolled\n- Use local state for component-specific data\n- Use context for shared state across components\n- **Avoid Prop Drilling**: When a component receives more than ~7–10 props, or props are passed through multiple layers only to reach a deep child, prefer:\n  - **Context** for cross-cutting state (auth, theme, feature flags)\n  - **Composition** (children, render props) instead of passing many callbacks\n  - **Custom hooks** to encapsulate shared logic; let children use the hook instead of receiving props from parent\n- **CRITICAL**: All logging must use [logger.ts](mdc:frontend/lib/logger.ts) - never use console.log\n\n### Styling and Design\n\n- Use Ant Design components + Tailwind for spacing and simple styling\n- Follow design system patterns and spacing\n- Ensure responsive design with mobile-first approach\n- Use CSS variables for theme colors\n- Implement proper focus states and accessibility\n\n### Internationalization\n\n- All user-facing text must use `useTranslation` hook\n- Use descriptive translation keys: `t('button.save')` instead of `t('save')`\n- Provide fallback text for missing translations\n- Group related translations in namespaces\n\n### Error Handling\n\n- Implement proper error boundaries for component trees\n- Handle async operations with loading and error states\n- Provide meaningful error messages to users\n- Log errors appropriately for debugging\n\n### Other Considerations\n\n- **Colocate subcomponents**: When a component file grows, extract logically distinct subcomponents into separate files in the same folder. Avoid putting many unrelated components in one file.\n- **Lean interfaces**: Group related props into objects when they form a cohesive concern (e.g. `user: { email, avatarUrl, role }`) instead of passing many flat props.\n\n### Example\n```tsx\n// frontend/components/example-modal.tsx\nimport React from \"react\";\nimport { useTranslation } from \"react-i18next\";\nimport { Modal } from \"antd\";\nimport { AlertTriangle } from \"lucide-react\";\n\ninterface ExampleModalProps {\n  open: boolean;\n  onClose: () => void;\n  onConfirm: () => void;\n}\n\nexport function ExampleModal({\n  open,\n  onClose,\n  onConfirm,\n}: ExampleModalProps) {\n  const { t } = useTranslation(\"common\");\n\n  return (\n    <Modal\n      open={open}\n      onCancel={onClose}\n      centered\n      okText={t(\"common.confirm\")}\n      cancelText={t(\"common.cancel\")}\n      onOk={onConfirm}\n    >\n      <div className=\"flex items-center gap-3\">\n        <AlertTriangle className=\"h-5 w-5 text-amber-500\" />\n        <span>{t(\"modal.exampleMessage\")}</span>\n      </div>\n    </Modal>  \n\n\n  );\n}\n```"
  },
  {
    "path": ".cursor/rules/frontend/frontend_overview_rules.mdc",
    "content": "---\nglobs: frontend/**/*.{ts,tsx}\ndescription: Frontend overview - directory structure, layer responsibilities, and dependency rules\nalwaysApply: false\n---\n\n# Frontend Overview\n\n## Directory Structure\n\n```\nfrontend/\n├── app/[locale]/              # Routes with i18n (Next.js App Router)\n│   ├── layout.tsx, page.tsx    # Root layout and home\n│   ├── i18n.tsx                # i18n config\n│   └── {feature}/              # e.g. chat, agents, knowledges, models\n│       ├── page.tsx            # Page entry (thin wrapper)\n│       ├── components/         # Feature-specific components\n│       └── {submodule}/        # e.g. versions/\n├── components/                 # Cross-feature reusable components\n│   ├── auth/                   # Auth-related UI\n│   ├── providers/              # Global context providers\n│   └── ...                     # Base UI: use Ant Design; avoid custom wrappers\n├── hooks/                      # Custom hooks (organized by domain)\n│   ├── auth/                   # useSessionManager, useAuthentication, etc.\n│   ├── agent/                  # useAgentList, useAgentInfo, etc.\n│   ├── chat/                   # useConversationManagement, etc.\n│   └── ...\n├── services/                   # API calls (api.ts, *Service.ts)\n├── lib/                        # Utilities (logger, session, utils, etc.)\n├── types/                      # Shared type definitions\n├── const/                      # Constants and config\n├── stores/                     # Global state stores (if any)\n├── styles/                     # Global styles (theme, reset, AntD overrides)\n└── public/                     # Static assets\n```\n\n## Layer Responsibilities\n\n| Directory | Purpose | Notes |\n|-----------|---------|-------|\n| `app/[locale]/{feature}/page.tsx` | Route entry, auth guard, config load | Thin wrapper; delegate UI to internal/components |\n| `app/.../components/` | Feature-only UI pieces | Ant Design first; Lucide icons primary, `@ant-design/icons` fallback |\n| `components/` | Shared UI across features | Ant Design first; Lucide icons primary, `@ant-design/icons` fallback |\n| `hooks/` | State and side-effects | Shared API data: use TanStack React Query (`useQuery`); client-side filter/sort: `useMemo` on query data; mutations: `useMutation` + `queryClient.invalidateQueries` |\n| `services/` | API calls | — |\n| `lib/` | Pure utilities | — |\n| `types/` | Type definitions only | `interface`, `type` only; do not store constants |\n| `const/` | Runtime constants | Literals, enums, config objects, status codes; do not store `interface`/`type` |\n| `styles/` | Global styles | Theme vars, reset, AntD overrides only; component-specific CSS: colocate in component (e.g. `*.module.css`) |\n\n## General Principles\n\n- **Avoid over-engineering**: Before abstracting code (extracting hooks, components, utils), confirm there is a concrete need (reuse, testability, or complexity). Prefer simple, inline solutions until the need is clear.\n\n## Dependency Rules\n\n- **No cross-feature imports**: Feature-level code (`components/` under a feature) must not import from other features. Use shared `components/` for cross-feature reuse.\n- **Infrastructure does not depend on UI**: `services/`, `lib/`, `types/` must not import from `app/` or `components/`.\n- **Minimize CSS**: Prefer Tailwind + Ant Design. Use CSS only when necessary; keep component-specific styles colocated (e.g. `*.module.css` next to the component).\n\n## Path Aliases\n\n- `@/*` → `frontend/*`\n- `@/app/*` → `frontend/app/[locale]/*` (import without `[locale]` segment)\n\nExample: `import { ChatInterface } from \"@/app/chat/internal/chatInterface\"`\n\n## Where to Put New Code\n\n| If you are adding... | Put it in |\n|----------------------|-----------|\n| A new route | `app/[locale]/{feature}/page.tsx` |\n| Core feature logic | `app/[locale]/{feature}/internal/` |\n| UI used only by one feature | `app/[locale]/{feature}/components/` |\n| UI used by multiple features | `components/` (auth/, providers/, etc.); base UI from Ant Design |\n| State/effect logic | `hooks/{domain}/` |\n| API call | `services/` |\n| Pure helper | `lib/` |\n| Shared type | `types/` |\n| Shared constant value | `const/` |\n| Global styles (theme, reset) | `styles/` |\n"
  },
  {
    "path": ".cursor/rules/frontend/hook_layer_rules.mdc",
    "content": "---\nglobs: frontend/hooks/**/*.ts\ndescription: Hook layer rules for custom React hooks and state management\n---\n\n### Purpose and Scope\n\n- Hook layer contains custom React hooks for `frontend/hooks/**/*.ts`\n- Responsibilities: Encapsulate state logic, provide service interfaces, handle loading/error states\n- **MANDATORY**: All hooks must be named `useXxx` and use TypeScript\n\n### Hook Organization\n\n- **`hooks/useAuth.ts`** - Authentication state and operations\n- **`hooks/useConfig.ts`** - Configuration management  \n- **`hooks/useChat.ts`** - Chat-related state and operations\n- **`hooks/useMemory.ts`** - Memory management\n- Use descriptive names indicating the hook's purpose\n\n### Hook Structure\n\n- Use TypeScript for all hook definitions\n- Return objects with descriptive property names\n- Handle loading, error, and success states consistently\n- Implement proper cleanup for side effects\n- Use proper dependency arrays in useEffect\n\n### Essential Hook Usage\n\n| Hook | Purpose | When to Use |\n|------|---------|-------------|\n| `useState` | Store component state | Simple state like toggles, counters |\n| `useReducer` | Complex state logic | Multiple state dependencies |\n| `useContext` | Share data between components | Theme, user info, global state |\n| `useEffect` | Handle side effects | Data fetching, subscriptions, timers |\n| `useCallback` | Prevent function recreation | Callbacks passed to child components |\n| `useMemo` | Cache calculations | Expensive computations |\n| `useRef` | Store mutable values | DOM nodes, timer IDs |\n\n### State Management\n\n- Use useState for local component state\n- Use useReducer for complex state logic\n- Use useContext for shared state across components\n- Implement proper state updates and immutability\n- Handle async state updates correctly\n- **CRITICAL**: All logging must use [logger.ts](mdc:frontend/lib/logger.ts) - never use console.log\n\n### Error Handling\n\n- Handle async errors gracefully\n- Provide meaningful error messages\n- Log errors appropriately for debugging\n- Implement retry logic for transient failures\n\n### Example\n```typescript\n// frontend/hooks/useAuth.ts\nimport { useState, useEffect, useCallback } from 'react';\nimport { authService } from '@/services/authService';\n\nexport function useAuth() {\n  const [user, setUser] = useState(null);\n  const [isLoading, setIsLoading] = useState(true);\n  const [error, setError] = useState(null);\n\n  const login = useCallback(async (credentials) => {\n    setIsLoading(true);\n    setError(null);\n    try {\n      const response = await authService.login(credentials);\n      if (response.success) {\n        setUser(response.data.user);\n      } else {\n        setError(response.error);\n      }\n    } catch (err) {\n      setError(err.message);\n    } finally {\n      setIsLoading(false);\n    }\n  }, []);\n\n  return { user, isLoading, error, login };\n}\n```"
  },
  {
    "path": ".cursor/rules/frontend/page_layer_rules.mdc",
    "content": "---\nglobs: frontend/app/**/*.tsx\ndescription: Page layer rules for Next.js App Router pages and layouts\n---\n\n### Purpose and Scope\n\n- Page layer handles routing and layouts for `frontend/app/**/*.tsx`\n- Responsibilities: Define routes, handle data fetching, provide layouts, coordinate state\n- **MANDATORY**: All pages must support internationalization through `[locale]` dynamic route\n\n### File Structure\n\n- **`page.tsx`** - Page components that define routes\n- **`layout.tsx`** - Layout components that wrap pages  \n- **`loading.tsx`** - Loading UI components\n- Use kebab-case for new route segments\n- Prefer nested layouts over prop drilling\n\n### Internationalization\n\n- Client components: `const { t } = useTranslation('namespace')`\n- Server components: `getTranslations` from `next-intl`\n\n\n\n- Organize translation keys by feature/namespace\n\n### Data Fetching\n\n- Use Server Components for initial data fetching\n- Use `fetch` with proper caching for server-side data\n- Client-side fetching: custom hooks in `hooks/` directory\n- Handle loading and error states appropriately\n\n### Layout and Metadata\n\n- Define metadata in `layout.tsx` using Next.js metadata API\n- Use dynamic metadata for page-specific information\n- Ensure responsive design with Tailwind CSS\n- Maintain consistent layout structure\n\n### State Management\n\n- Use React Context for shared page-level state\n- Keep page-specific state local to component\n- Use custom hooks for complex state logic\n- Avoid prop drilling with context providers\n- **CRITICAL**: All logging must use [logger.ts](mdc:frontend/lib/logger.ts) - never use console.log\n\n### Example\n```tsx\n// frontend/app/[locale]/chat/page.tsx\nimport { useTranslations } from 'next-intl';\n\nexport default function ChatPage({ params }: { params: { locale: string } }) {\n  const t = useTranslations('chat');\n  return (\n    <div className=\"flex h-screen\">\n      <h1 className=\"text-2xl font-bold p-4\">{t('title')}</h1>\n    </div>\n  );\n}\n```"
  },
  {
    "path": ".cursor/rules/frontend/service_layer_rules.mdc",
    "content": "---\nglobs: frontend/services/**/*.ts\ndescription: Compact service layer rules for API calls and data management\n---\n\n### Purpose and Scope\n\n- Service layer handles API communication and data management for `frontend/services/**/*.ts`\n- **CRITICAL**: All API URLs must come from [api.ts](mdc:frontend/services/api.ts) - never hardcode URLs\n- Responsibilities: API calls, request/response transformation, error handling, type safety\n\n### API URL Management\n\n- **MANDATORY**: Import and use `API_ENDPOINTS` from [api.ts](mdc:frontend/services/api.ts)\n- **FORBIDDEN**: Hardcoded URLs, direct string concatenation for endpoints\n- Use `fetchWithErrorHandling` from [api.ts](mdc:frontend/services/api.ts) for all requests\n\n### Service Organization\n\n- **`services/api.ts`** - Base configuration, endpoints, error handling\n- **`services/*Service.ts`** - Domain-specific API calls (auth, chat, config, etc.)\n- Use descriptive names matching the domain they serve\n\n### Error Handling\n\n- Use `ApiError` class from [api.ts](mdc:frontend/services/api.ts)\n- Handle 401/499 status codes for session expiration\n- Provide meaningful error messages for user feedback\n\n### Type Safety\n\n- Define TypeScript interfaces for all request/response data\n- Use generic types for reusable API functions\n- Export types for use in components and hooks\n- **CRITICAL**: All logging must use [logger.ts](mdc:frontend/lib/logger.ts) - never use console.log\n\n### Example\n```typescript\n// frontend/services/authService.ts\nimport { API_ENDPOINTS, fetchWithErrorHandling, ApiError } from './api';\n\nexport const authService = {\n  async signin(credentials: SigninRequest): Promise<SigninResponse> {\n    const response = await fetchWithErrorHandling(API_ENDPOINTS.user.signin, {\n      method: 'POST',\n      headers: { 'Content-Type': 'application/json' },\n      body: JSON.stringify(credentials),\n    });\n    return response.json();\n  }\n};\n```"
  },
  {
    "path": ".cursor/rules/frontend/type_layer_rules.mdc",
    "content": "---\nglobs: frontend/types/**/*.ts\ndescription: Type layer rules for TypeScript type definitions and interfaces\n---\n\n### Purpose and Scope\n\n- Type layer contains TypeScript definitions for `frontend/types/**/*.ts`\n- Responsibilities: Define type-safe interfaces, API types, reusable utilities, ensure consistency\n- **MANDATORY**: All types must be exported and use TypeScript\n\n### Type Organization\n\n- **`types/auth.ts`** - Authentication-related types\n- **`types/chat.ts`** - Chat and conversation types\n- **`types/config.ts`** - Configuration types\n- **`types/api.ts`** - API-related types\n- Use descriptive names matching the domain they represent\n\n### Type Definition Standards\n\n- Use interfaces for object shapes and API contracts\n- Use type aliases for unions, primitives, and computed types\n- Use enums for fixed sets of string/number values\n- Use generic types for reusable type patterns\n- Export all types for use in other modules\n\n### API Type Definitions\n\n- Define separate interfaces for request and response data\n- Use consistent naming conventions (e.g., `UserRequest`, `UserResponse`)\n- Include optional fields with proper typing\n- Use union types for status fields and enums\n- Provide JSDoc comments for complex types\n\n### Component Props Types\n\n- Define interfaces for all component props\n- Use descriptive property names\n- Include proper optional/required field indicators\n- Use generic types for reusable component patterns\n- Export types for use in component files\n- **CRITICAL**: All logging must use [logger.ts](mdc:frontend/lib/logger.ts) - never use console.log\n\n### Utility Types\n\n- Create utility types for common patterns\n- Use mapped types for transformations\n- Implement conditional types for complex logic\n- Provide type guards for runtime validation\n\n### Example\n```typescript\n// frontend/types/auth.ts\nexport interface User {\n  id: string;\n  email: string;\n  name: string;\n  avatar?: string;\n  role: UserRole;\n  createdAt: string;\n  updatedAt: string;\n}\n\n// Utility types\nexport type UserUpdateData = Partial<Pick<User, 'name' | 'avatar'>>;\nexport type UserCreateData = Omit<User, 'id' | 'createdAt' | 'updatedAt'>;\n```"
  },
  {
    "path": ".cursor/rules/frontend/ui_standards_rules.mdc",
    "content": "---\nglobs: frontend/app/**,frontend/components/**\nalwaysApply: false\n---\n# Frontend UI Standards Rules\n\n## Principle\nUse Ant Design as primary UI library with minimal Tailwind CSS. Prioritize mature Ant Design solutions for responsive layouts. Avoid secondary encapsulation unless necessary.\n\n## Technology Usage Guidelines\n- **Ant Design**: Forms, data display, complex interactions (`<Button>`, `<Modal>`, `<Form>`)\n- **Tailwind CSS**: Spacing, layout, simple styling (`className=\"flex items-center gap-2 text-sm\"`)\n- **Inline Styles**: Special cases (`style={{ fontSize: \"48px\" }}`)\n- **Override AntD**: Use `<style jsx global>` when necessary\n\n## Layout Standards\n\n### Global Layout\nUse Header, Sider, Footer, Content structure. Reference: https://ant.design/components/layout-cn\n\n```tsx\nconst { Header, Footer, Sider, Content } = Layout;\n\n<Layout>\n  <Header>Header</Header>\n  <Layout>\n    <Sider width=\"25%\">Sider</Sider>\n    <Content>Content</Content>\n  </Layout>\n  <Footer>Footer</Footer>\n</Layout>\n```\n\n### Responsive Grid\nUse AntD Grid for responsive layouts. Reference: https://ant.design/components/grid-cn\n\n```tsx\n<Row gutter={{ xs: 8, sm: 16, md: 24, lg: 32 }}>\n  <Col span={6}>col-6</Col>\n  <Col span={6}>col-6</Col>\n  <Col span={6}>col-6</Col>\n  <Col span={6}>col-6</Col>\n</Row>\n```\n\n### Flex Layout\nUse AntD Flex for component alignment. Reference: https://ant.design/components/flex-cn\n\n```tsx\n<Flex vertical className=\"h-full overflow-hidden\">\n  <Row><Col>Content 1</Col></Row>\n  <Row><Col>Content 2</Col></Row>\n  <Row className=\"flex:1 min-h-0\">\n    <Col><Flex className=\"h-full overflow-hidden\">...</Flex></Col>\n  </Row>\n</Flex>\n```\n\n## Component Standards\n\n### Modals\n1. **Complex Modal**: For reusable modals with custom content\n2. **Simple Modal**: Use `useConfirmModal` for one-time confirmations\n\n#### Modal Standards\n- Use `centered` for positioning\n- Confirm buttons: `type=\"primary\" danger={true}`\n- i18n keys: `common.cancel`, `common.confirm`\n- Icon: `<ExclamationCircleFilled />` aligned with title\n\n```tsx\n// Complex modal\n<Modal\n  open={isOpen}\n  centered\n  okButtonProps={{ type: \"primary\", danger: true }}\n  okText={t(\"common.confirm\")}\n>\n  <div className=\"flex items-start gap-4\">\n    <ExclamationCircleFilled style={{ color: token.colorWarning, fontSize: '22px' }} />\n    <div>\n      <div className=\"font-medium\">{t(\"title\")}</div>\n      <div className=\"text-sm\">{t(\"content\")}</div>\n    </div>\n  </div>\n</Modal>\n\n// Simple modal\nconst { confirm } = useConfirmModal();\nconfirm({\n  title: t(\"delete.confirmTitle\"),\n  content: t(\"delete.confirmContent\"),\n  onOk: () => { /* ... */ }\n});\n```\n\n### Icon Library\n- **Primary**: `lucide-react` for consistency\n- **Fallback**: `@ant-design/icons` when lucide-react lacks icons\n\n```tsx\nimport { ExternalLink } from \"lucide-react\";\nimport { PlusOutlined } from '@ant-design/icons';\n\n<ExternalLink />\n<PlusOutlined />\n```\n\n## i18n Usage\n\n```tsx\nimport { useTranslation, Trans } from \"react-i18next\";\n\n// Simple text\nt(\"common.confirm\")\n\n// HTML content\n<Trans\n  i18nKey=\"modal.description\"\n  values={{ title }}\n  components={{ strong: <strong /> }}\n/>\n```\n"
  },
  {
    "path": ".cursor/rules/pytest_unit_test_rules.mdc",
    "content": "---\nglobs: test/**/*.py\ndescription: Pytest Unit Test Rules for this repository\n---\n\n## Pytest Unit Test Rules (Concise)\n\n### Framework\n- Use pytest exclusively; prefer fixtures; use pytest `assert` statements.\n\n### Naming\n- Files `test_*`; classes `Test*`; functions `test_*`.\n\n### Imports\n- Order: standard library, third‑party, project.\n- Import only the unit under test; mock collaborators using `pytest-mock`.\n\n### Import and Mock Rules\n- Do not directly import external interfaces/clients/services into tests to exercise collaborators.\n- Patch where the dependency is imported (lookup site) using a fully‑qualified path.\n- Use `side_effect` to cover error paths when appropriate.\n\n```python\nfrom pytest_mock import MockFixture\nfrom backend.apps.some_app import create_resource\n\ndef test_create_resource_success(mocker: MockFixture):\n    mocker.patch(\n        \"backend.services.model_provider_service.ModelProviderService.create\",\n        return_value={\"id\": \"res-1\"},\n    )\n    assert create_resource({...})[\"id\"] == \"res-1\"\n```\n\n### Structure and Size\n- Keep files under 500 lines or split by feature; include `__init__.py` in split directories; use `test_<module>_<feature>.py` names.\n\n### Coverage and Async\n- Cover success/error flows and boundaries; use `@pytest.mark.parametrize` for variants.\n- Use `@pytest.mark.asyncio` for async tests.\n\n### Isolation\n- Use `autouse=True` fixtures to reset state; fully mock external I/O and APIs.\n\n### Checklist\n- [ ] pytest only (no unittest)\n- [ ] naming conventions followed\n- [ ] collaborators mocked with pytest-mock\n- [ ] import/mocking rules followed\n- [ ] async tests decorated when needed\n- [ ] clear, specific assertions\n- [ ] adequate coverage (normal and exception paths)"
  },
  {
    "path": ".devcontainer/devcontainer.json",
    "content": "{\n  \"name\": \"nexent-data-process\",\n  \"dockerComposeFile\": \"../docker/docker-compose.dev.yml\",\n  \"service\": \"nexent-data-process\",\n  \"workspaceFolder\": \"/opt\",\n  \"forwardPorts\": [3000, 5012],\n  \"customizations\": {\n    \"vscode\": {\n      \"settings\": {\n        \"terminal.integrated.shell.linux\": \"/bin/bash\",\n        \"remote.extensionKind\": {\n          \"ms-vscode.vscode-typescript-next\": [\"workspace\"]\n        }\n      },\n      \"extensions\": [\n        \"ms-python.python\",\n        \"ms-python.vscode-pylance\",\n        \"ms-azuretools.vscode-docker\"\n      ]\n    }\n  },\n  \"remoteUser\": \"root\",\n  \"shutdownAction\": \"none\",\n  \"containerEnv\": {\n    \"VSCODE_SERVER_ARCH\": \"linux-x64\"\n  }\n}"
  },
  {
    "path": ".dockerignore",
    "content": "# Python\n**/.venv/\n**/__pycache__/\n**/*.pyc\n**/*.pyo\n**/*.pyd\n**/.Python\n**/pip-log.txt\n**/pip-delete-this-directory.txt\n**/.pytest_cache/\n**/.coverage\n**/.mypy_cache/\n\n# Git\n.git\n**/.git/\n.gitignore\n\n# Docker\n.dockerignore\n\n# Logs\nlogs\n*.log\nnpm-debug.log*\nyarn-debug.log*\nyarn-error.log*\n\n# Node\nfrontend/node_modules/\nnode_modules/\n.pnpm-store/\n.pnpm-lock.yaml\ndist/\nbuild/\n.npm\n*.tgz\n\n# Backend\nbackend/assets/*\n!backend/assets/test.wav\nbackend/flower_db.sqlite\nuploads/\ntest/\nassets/\n\n# Github\n.github/\n\n# Cursor\n.cursor/\n\n# Dev Container\n.devcontainer/\n\n# OS generated files\n.DS_Store\n.DS_Store?\n._*\n.Spotlight-V100\n.Trashes\nehthumbs.db\nThumbs.db "
  },
  {
    "path": ".editorconfig",
    "content": "root = true\n\n[*]\ncharset = utf-8\nend_of_line = lf\ninsert_final_newline = true\ntrim_trailing_whitespace = true\n\n[*.{js,jsx,ts,tsx,json}]\nindent_style = space\nindent_size = 2\n\n[*.md]\ntrim_trailing_whitespace = false"
  },
  {
    "path": ".github/CODEOWNERS",
    "content": "# These owners will be the default owners for everything in the repo\n*       @Phinease @WMC001\n"
  },
  {
    "path": ".github/ISSUE_TEMPLATE/bug_report.yml",
    "content": "name: 'Bug Report'\ndescription: 'Report errors or unexpected behavior'\ntitle: '[Bug] '\ntype: Bug\nlabels: ['unconfirm']\nbody:\n  - type: markdown\n    attributes:\n      value: |\n        Before creating a new Issue, please [search existing issues](https://github.com/AI-Application-Innovation/nexent/issues), including closed ones.  \n  - type: input\n    attributes:\n      label: 'Nexent Version'\n  - type: textarea\n    attributes:\n      label: 'Problem Description'\n      description: Please provide a clear and concise description of the issue.\n    validations:\n      required: true\n  - type: textarea\n    attributes:\n      label: 'Reproduction Steps'\n      description: Please provide clear and concise steps to reproduce the issue.\n  - type: textarea\n    attributes:\n      label: 'Additional Information'\n      description: If your issue requires further explanation or cannot be reproduced in a simple example, please provide more information here."
  },
  {
    "path": ".github/ISSUE_TEMPLATE/document_issue.yml",
    "content": "name: 'Document Issue'\ndescription: 'Report an issue with the documentation'\ntitle: '[Document] '\ntype: Feature\nlabels: ['documentation']\nbody:\n  - type: markdown\n    attributes:\n      value: |\n        Before creating a new Issue, please [search existing issues](https://github.com/AI-Application-Innovation/nexent/issues), including closed ones.  \n  - type: textarea\n    attributes:\n      label: 'Document Change Description'\n      description: Please describe which document needs to be corrected and why.\n    validations:\n      required: true\n"
  },
  {
    "path": ".github/ISSUE_TEMPLATE/feature_request.yml",
    "content": "name: 'Feature Request'\ndescription: 'Suggest an idea'\ntitle: '[Request] '\ntype: Feature\nlabels: ['enhancement']\nbody:\n  - type: markdown\n    attributes:\n      value: |\n        Before creating a new Issue, please [search existing issues](https://github.com/AI-Application-Innovation/nexent/issues), including closed ones.  \n  - type: textarea\n    attributes:\n      label: 'Feature Description'\n      description: Please add a clear and concise description of the problem you are seeking to solve with this feature request.\n    validations:\n      required: true\n  - type: textarea\n    attributes:\n      label: 'Proposed Solution'\n      description: Describe the solution you'd like in a clear and concise manner.\n  - type: textarea\n    attributes:\n      label: 'Additional Information'\n      description: Add any other context about the problem here.\n"
  },
  {
    "path": ".github/ISSUE_TEMPLATE/improvement_proposal.yml",
    "content": "name: 'Improvement Proposal'\ndescription: 'Suggest enhancements or new features'\ntitle: '[Improvement] '\ntype: Feature\nlabels: ['enhancement']\nbody:\n  - type: markdown\n    attributes:\n      value: |\n        Before creating a new Issue, please [search existing issues](https://github.com/AI-Application-Innovation/nexent/issues), including closed ones.\n  - type: textarea\n    attributes:\n      label: 'Improvement Description'\n      description: 'Clearly articulate the proposed improvement, including its benefits and potential impact.'\n    validations:\n      required: true"
  },
  {
    "path": ".github/dependabot.yml",
    "content": "version: 2\n\nupdates:\n  - package-ecosystem: \"npm\"\n    directory: \"/frontend\"\n    schedule:\n      interval: \"weekly\"\n    open-pull-requests-limit: 5\n    labels:\n      - \"dependencies\"\n\n  - package-ecosystem: \"npm\"\n    directory: \"/doc\"\n    schedule:\n      interval: \"weekly\"\n    open-pull-requests-limit: 2\n    labels:\n      - \"dependencies\"\n\n  - package-ecosystem: \"pip\"\n    directory: \"/backend\"\n    schedule:\n      interval: \"weekly\"\n    open-pull-requests-limit: 5\n    labels:\n      - \"dependencies\"\n\n  - package-ecosystem: \"pip\"\n    directory: \"/sdk\"\n    schedule:\n      interval: \"weekly\"\n    open-pull-requests-limit: 5\n    labels:\n      - \"dependencies\"\n\n\n"
  },
  {
    "path": ".github/workflows/auto-build-data-process-dev.yml",
    "content": "name: Docker Build Data-Process Images\n\nconcurrency:\n  group: docker-build-data-process-dev-${{ github.ref }}\n  cancel-in-progress: true\n\non:\n  workflow_dispatch:\n  pull_request:\n    branches: [develop]\n    paths:\n      - 'backend/**'\n      - 'sdk/**'\n      - 'make/data_process/**'\n      - '.github/workflows/**'\n  push:\n    branches: [develop]\n    paths:\n      - 'backend/**'\n      - 'sdk/**'\n      - 'make/data_process/**'\n      - '.github/workflows/**'\n\njobs:\n  build-data-process-amd64:\n    runs-on: ubuntu-latest\n    steps:\n      - name: Checkout code\n        uses: actions/checkout@v4\n      - name: Clone model\n        run: |\n          GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/Nexent-AI/model-assets\n          cd ./model-assets\n          GIT_TRACE=1 GIT_CURL_VERBOSE=1 GIT_LFS_LOG=debug git lfs pull\n          rm -rf .git .gitattributes\n      - name: Build data process image (amd64) and load locally\n        run: |\n          docker build --platform linux/amd64 -t nexent/nexent-data-process:dev-amd64 -f make/data_process/Dockerfile .\n\n  build-data-process-arm64:\n    runs-on: ubuntu-24.04-arm\n    steps:\n      - name: Checkout code\n        uses: actions/checkout@v4\n      - name: Clone model\n        run: |\n          GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/Nexent-AI/model-assets\n          cd ./model-assets\n          GIT_TRACE=1 GIT_CURL_VERBOSE=1 GIT_LFS_LOG=debug git lfs pull\n          rm -rf .git .gitattributes\n      - name: Build data process image (arm64) and load locally\n        run: |\n          docker build --platform linux/arm64 -t nexent/nexent-data-process:dev-arm64 -f make/data_process/Dockerfile ."
  },
  {
    "path": ".github/workflows/auto-build-doc-dev.yml",
    "content": "name: Docker Build Doc Check\n\nconcurrency:\n  group: docker-build-doc-dev-${{ github.ref }}\n  cancel-in-progress: true\n\non:\n  workflow_dispatch:\n  pull_request:\n    branches: [develop]\n    paths:\n      - 'doc/**'\n      - '.github/workflows/**'\n  push:\n    branches: [develop]\n    paths:\n      - 'doc/**'\n      - '.github/workflows/**'\n\njobs:\n  build-docs-check:\n    runs-on: ubuntu-latest\n    steps:\n      - name: Checkout code\n        uses: actions/checkout@v4\n      \n      - name: Setup Node.js\n        uses: actions/setup-node@v4\n        with:\n          node-version: '18'\n      \n      - name: Install dependencies\n        run: |\n          cd doc\n          npm install\n      \n      - name: Build doc\n        run: |\n          cd doc\n          npm run docs:build\n          BUILD_EXIT_CODE=$?\n          \n          if [ $BUILD_EXIT_CODE -ne 0 ]; then\n            echo \"❌ Doc build failed with exit code $BUILD_EXIT_CODE\"\n            exit $BUILD_EXIT_CODE\n          else\n            echo \"✅ Doc build completed successfully\"\n          fi"
  },
  {
    "path": ".github/workflows/auto-build-main-dev.yml",
    "content": "name: Docker Build Main Images\n\nconcurrency:\n  group: docker-build-main-dev-${{ github.ref }}\n  cancel-in-progress: true\n\non:\n  workflow_dispatch:\n  pull_request:\n    branches: [develop]\n    paths:\n      - 'backend/**'\n      - 'sdk/**'\n      - 'make/main/**'\n      - '.github/workflows/**'\n  push:\n    branches: [develop]\n    paths:\n      - 'backend/**'\n      - 'sdk/**'\n      - 'make/main/**'\n      - '.github/workflows/**'\n\njobs:\n  build-main-amd64:\n    runs-on: ubuntu-latest\n    steps:\n      - name: Checkout code\n        uses: actions/checkout@v4\n      - name: Build main image (amd64) and load locally\n        run: |\n          docker build --platform linux/amd64 -t nexent/nexent:dev-amd64 -f make/main/Dockerfile .\n\n  build-main-arm64:\n    runs-on: ubuntu-24.04-arm\n    steps:\n      - name: Checkout code\n        uses: actions/checkout@v4\n      - name: Build main image (arm64) and load locally\n        run: |\n          docker build --platform linux/arm64 -t nexent/nexent:dev-arm64 -f make/main/Dockerfile ."
  },
  {
    "path": ".github/workflows/auto-build-mcp-dev.yml",
    "content": "name: Docker Build MCP Images\n\nconcurrency:\n  group: docker-build-mcp-dev-${{ github.ref }}\n  cancel-in-progress: true\n\non:\n  workflow_dispatch:\n  pull_request:\n    branches: [develop]\n    paths:\n      - 'backend/**'\n      - 'sdk/**'\n      - 'make/mcp/**'\n      - '.github/workflows/**'\n  push:\n    branches: [develop]\n    paths:\n      - 'backend/**'\n      - 'sdk/**'\n      - 'make/mcp/**'\n      - '.github/workflows/**'\n\njobs:\n  build-mcp-amd64:\n    runs-on: ubuntu-latest\n    steps:\n      - name: Checkout code\n        uses: actions/checkout@v4\n      - name: Build MCP image (amd64) and load locally\n        run: |\n          docker build --platform linux/amd64 -t nexent/nexent-mcp:dev-amd64 -f make/mcp/Dockerfile .\n\n  build-mcp-arm64:\n    runs-on: ubuntu-24.04-arm\n    steps:\n      - name: Checkout code\n        uses: actions/checkout@v4\n      - name: Build MCP image (arm64) and load locally\n        run: |\n          docker build --platform linux/arm64 -t nexent/nexent-mcp:dev-arm64 -f make/mcp/Dockerfile .\n\n\n"
  },
  {
    "path": ".github/workflows/auto-build-terminal-dev.yml",
    "content": "name: Docker Build Terminal Images\n\nconcurrency:\n  group: docker-build-terminal-dev-${{ github.ref }}\n  cancel-in-progress: true\n\non:\n  workflow_dispatch:\n  pull_request:\n    branches: [develop]\n    paths:\n      - 'make/terminal/**'\n      - '.github/workflows/**'\n  push:\n    branches: [develop]\n    paths:\n      - 'make/terminal/**'\n      - '.github/workflows/**'\n\njobs:\n  build-terminal-amd64:\n    runs-on: ubuntu-latest\n    steps:\n      - name: Checkout code\n        uses: actions/checkout@v4\n      - name: Build terminal image (amd64) and load locally\n        run: |\n          docker build --platform linux/amd64 -t nexent/nexent-ubuntu-terminal:dev-amd64 -f make/terminal/Dockerfile .\n\n  build-terminal-arm64:\n    runs-on: ubuntu-24.04-arm\n    steps:\n      - name: Checkout code\n        uses: actions/checkout@v4\n      - name: Build terminal image (arm64) and load locally\n        run: |\n          docker build --platform linux/arm64 -t nexent/nexent-ubuntu-terminal:dev-arm64 -f make/terminal/Dockerfile ."
  },
  {
    "path": ".github/workflows/auto-build-web-dev.yml",
    "content": "name: Docker Build Web Images\n\nconcurrency:\n  group: docker-build-web-dev-${{ github.ref }}\n  cancel-in-progress: true\n\non:\n  workflow_dispatch:\n  pull_request:\n    branches: [develop]\n    paths:\n      - 'frontend/**'\n      - 'make/web/**'\n      - '.github/workflows/**'\n  push:\n    branches: [develop]\n    paths:\n      - 'frontend/**'\n      - 'make/web/**'\n      - '.github/workflows/**'\n\njobs:\n  build-web-amd64:\n    runs-on: ubuntu-latest\n    steps:\n      - name: Checkout code\n        uses: actions/checkout@v4\n      - name: Build web image (amd64) and load locally\n        run: |\n          docker build --platform linux/amd64 -t nexent/nexent-web:dev-amd64 -f make/web/Dockerfile .\n\n  build-web-arm64:\n    runs-on: ubuntu-24.04-arm\n    steps:\n      - name: Checkout code\n        uses: actions/checkout@v4\n      - name: Build web image (arm64) and load locally\n        run: |\n          docker build --platform linux/arm64 -t nexent/nexent-web:dev-arm64 -f make/web/Dockerfile ."
  },
  {
    "path": ".github/workflows/auto-image-pull-test.yml",
    "content": "name: Docker Image Pull Test\n\non:\n  schedule:\n    # Run every 30 minutes (at minute 0 and 30 of every hour)\n    - cron: '0,30 * * * *'\n  workflow_dispatch:\n    inputs:\n      runner_label_json:\n        description: 'runner array in json format (e.g. [\"ubuntu-latest\"] or [\"self-hosted\"])'\n        required: true\n        default: '[\"ubuntu-latest\"]'\n\nenv:\n  NEXENT_IMAGE: nexent/nexent:latest\n  NEXENT_WEB_IMAGE: nexent/nexent-web:latest\n  NEXENT_DATA_PROCESS_IMAGE: nexent/nexent-data-process:latest\n  OPENSSH_SERVER_IMAGE: nexent/nexent-ubuntu-terminal:latest\n\njobs:\n  test-image-pull:\n    runs-on: ${{ github.event_name == 'workflow_dispatch' && fromJson(inputs.runner_label_json) || fromJson('[\"ubuntu-latest\"]') }}\n    \n    steps:\n      - name: Checkout code\n        uses: actions/checkout@v4\n        \n      - name: Generate random pull count\n        id: random-count\n        run: |\n          # Generate a random number between 2-5\n          RANDOM_COUNT=$(shuf -i 2-5 -n 1)\n          echo \"pull-count=$RANDOM_COUNT\" >> \"$GITHUB_OUTPUT\"\n          echo \"Will pull each image $RANDOM_COUNT times\"\n        \n      - name: Clean existing images\n        run: |\n          echo \"Cleaning existing images...\"\n          docker rmi -f ${{ env.NEXENT_IMAGE }} 2>/dev/null || echo \"Image ${{ env.NEXENT_IMAGE }} not found locally\"\n          docker rmi -f ${{ env.NEXENT_WEB_IMAGE }} 2>/dev/null || echo \"Image ${{ env.NEXENT_WEB_IMAGE }} not found locally\"\n          docker rmi -f ${{ env.NEXENT_DATA_PROCESS_IMAGE }} 2>/dev/null || echo \"Image ${{ env.NEXENT_DATA_PROCESS_IMAGE }} not found locally\"\n          docker rmi -f ${{ env.OPENSSH_SERVER_IMAGE }} 2>/dev/null || echo \"Image ${{ env.OPENSSH_SERVER_IMAGE }} not found locally\"\n          \n          # Clean up dangling images\n          docker image prune -f 2>/dev/null || echo \"No dangling images to remove\"\n          \n          echo \"Image cleanup completed\"\n        \n      - name: Test pull nexent/nexent:latest\n        run: |\n          echo \"Testing nexent/nexent:latest image pull...\"\n          PULL_COUNT=${{ steps.random-count.outputs.pull-count }}\n          \n          for i in $(seq 1 $PULL_COUNT); do\n            echo \"Pull attempt $i/$PULL_COUNT for nexent/nexent:latest\"\n            if docker pull ${{ env.NEXENT_IMAGE }}; then\n              echo \"✅ Successfully pulled nexent/nexent:latest (attempt $i)\"\n              # Remove image after successful pull to prepare for next pull\n              docker rmi -f ${{ env.NEXENT_IMAGE }} 2>/dev/null || true\n            else\n              echo \"❌ Failed to pull nexent/nexent:latest (attempt $i)\"\n              exit 1\n            fi\n            \n            # Wait 5 seconds if not the last pull attempt\n            if [ $i -lt $PULL_COUNT ]; then\n              sleep 5\n            fi\n          done\n          \n      - name: Test pull nexent/nexent-web:latest  \n        run: |\n          echo \"Testing nexent/nexent-web:latest image pull...\"\n          PULL_COUNT=${{ steps.random-count.outputs.pull-count }}\n          \n          for i in $(seq 1 $PULL_COUNT); do\n            echo \"Pull attempt $i/$PULL_COUNT for nexent/nexent-web:latest\"\n            if docker pull ${{ env.NEXENT_WEB_IMAGE }}; then\n              echo \"✅ Successfully pulled nexent/nexent-web:latest (attempt $i)\"\n              # Remove image after successful pull to prepare for next pull\n              docker rmi -f ${{ env.NEXENT_WEB_IMAGE }} 2>/dev/null || true\n            else\n              echo \"❌ Failed to pull nexent/nexent-web:latest (attempt $i)\"\n              exit 1\n            fi\n            \n            # Wait 5 seconds if not the last pull attempt\n            if [ $i -lt $PULL_COUNT ]; then\n              sleep 5\n            fi\n          done\n          \n      - name: Test pull nexent/nexent-data-process:latest\n        run: |\n          echo \"Testing nexent/nexent-data-process:latest image pull...\"\n          PULL_COUNT=${{ steps.random-count.outputs.pull-count }}\n          \n          for i in $(seq 1 $PULL_COUNT); do\n            echo \"Pull attempt $i/$PULL_COUNT for nexent/nexent-data-process:latest\"\n            if docker pull ${{ env.NEXENT_DATA_PROCESS_IMAGE }}; then\n              echo \"✅ Successfully pulled nexent/nexent-data-process:latest (attempt $i)\"\n              # Remove image after successful pull to prepare for next pull\n              docker rmi -f ${{ env.NEXENT_DATA_PROCESS_IMAGE }} 2>/dev/null || true\n            else\n              echo \"❌ Failed to pull nexent/nexent-data-process:latest (attempt $i)\"\n              exit 1\n            fi\n            \n            # Wait 5 seconds if not the last pull attempt\n            if [ $i -lt $PULL_COUNT ]; then\n              sleep 5\n            fi\n          done\n          \n      - name: Test pull nexent/nexent-ubuntu-terminal:latest\n        run: |\n          echo \"Testing nexent/nexent-ubuntu-terminal:latest image pull...\"\n          PULL_COUNT=${{ steps.random-count.outputs.pull-count }}\n          \n          for i in $(seq 1 $PULL_COUNT); do\n            echo \"Pull attempt $i/$PULL_COUNT for nexent/nexent-ubuntu-terminal:latest\"\n            if docker pull ${{ env.OPENSSH_SERVER_IMAGE }}; then\n              echo \"✅ Successfully pulled nexent/nexent-ubuntu-terminal:latest (attempt $i)\"\n              # Remove image after successful pull to prepare for next pull\n              docker rmi -f ${{ env.OPENSSH_SERVER_IMAGE }} 2>/dev/null || true\n            else\n              echo \"❌ Failed to pull nexent/nexent-ubuntu-terminal:latest (attempt $i)\"\n              exit 1\n            fi\n            \n            # Wait 5 seconds if not the last pull attempt\n            if [ $i -lt $PULL_COUNT ]; then\n              sleep 5\n            fi\n          done\n          \n      - name: Final cleanup\n        if: always()\n        run: |\n          echo \"Performing final cleanup...\"\n          docker rmi -f ${{ env.NEXENT_IMAGE }} 2>/dev/null || echo \"Image ${{ env.NEXENT_IMAGE }} already removed\"\n          docker rmi -f ${{ env.NEXENT_WEB_IMAGE }} 2>/dev/null || echo \"Image ${{ env.NEXENT_WEB_IMAGE }} already removed\"\n          docker rmi -f ${{ env.NEXENT_DATA_PROCESS_IMAGE }} 2>/dev/null || echo \"Image ${{ env.NEXENT_DATA_PROCESS_IMAGE }} already removed\"\n          docker rmi -f ${{ env.OPENSSH_SERVER_IMAGE }} 2>/dev/null || echo \"Image ${{ env.OPENSSH_SERVER_IMAGE }} already removed\"\n          \n          # Clean up dangling and unused images\n          docker image prune -f 2>/dev/null || echo \"No images to prune\"\n          \n          echo \"Final cleanup completed\"\n          \n      - name: Test Summary\n        if: always()\n        run: |\n          echo \"🎯 Docker Image Pull Test Summary\"\n          echo \"=================================\"\n          echo \"Test run completed with ${{ steps.random-count.outputs.pull-count }} pull attempts per image\"\n          echo \"Images tested:\"\n          echo \"  - nexent/nexent:latest\"\n          echo \"  - nexent/nexent-web:latest\" \n          echo \"  - nexent/nexent-data-process:latest\"\n          echo \"  - nexent/nexent-ubuntu-terminal:latest\"\n          echo \"Next scheduled run: in 30 minutes\"\n"
  },
  {
    "path": ".github/workflows/auto-unit-test.yml",
    "content": "name: Run Automated Unit Tests\n\nconcurrency:\n  group: automated-unit-test-${{ github.ref }}\n  cancel-in-progress: true\n\non:\n  workflow_dispatch:\n    inputs:\n      runner_label_json:\n        description: 'runner array in json format (e.g. [\"ubuntu-latest\"] or [\"self-hosted\"])'\n        required: false\n        default: '[\"ubuntu-24.04-arm\"]'\n  pull_request:\n    branches: [develop]\n    paths:\n      - 'backend/**'\n      - 'sdk/**'\n      - 'test/**'\n      - '.github/workflows/**'\n  push:\n    branches: [develop]\n    paths:\n      - 'backend/**'\n      - 'sdk/**'\n      - 'test/**'\n      - '.github/workflows/**'\n\njobs:\n  test:\n    runs-on: ${{ fromJson(github.event.inputs.runner_label_json || '[\"ubuntu-24.04-arm\"]') }}\n    steps:\n      - name: Checkout code\n        uses: actions/checkout@v4\n\n      - name: Set up Python\n        uses: actions/setup-python@v4\n        with:\n          python-version: '3.10'\n\n      - name: Install uv\n        run: pip install --upgrade uv\n\n      - name: Install dependencies\n        run: |\n          cd backend\n          uv sync --extra data-process --extra test\n          uv pip install -e \"../sdk[dev]\"\n          cd ..\n\n      - name: Run all tests and collect coverage\n        run: |\n          source backend/.venv/bin/activate && python test/run_all_test.py\n          TEST_EXIT_CODE=$?\n\n          if [ -f \"test/coverage.xml\" ]; then\n            echo \"✅ Coverage XML file generated successfully.\"\n          else\n            echo \"❌ Coverage XML file not found.\"\n            exit 1\n          fi\n\n          # Check if tests actually passed\n          if [ $TEST_EXIT_CODE -ne 0 ]; then\n            echo \"❌ Tests failed with exit code $TEST_EXIT_CODE\"\n            exit $TEST_EXIT_CODE\n          else\n            echo \"✅ All tests passed successfully.\"\n          fi\n\n      # Detect architecture\n      - name: Detect architecture\n        id: arch\n        run: echo \"arch=$(uname -m)\" >> $GITHUB_OUTPUT\n\n      # Use Python uploader on ARM\n      - name: Upload coverage to Codecov (Python uploader on ARM)\n        if: startsWith(steps.arch.outputs.arch, 'arm') || startsWith(steps.arch.outputs.arch, 'aarch64')\n        run: |\n          pip install --upgrade codecov\n          codecov \\\n            -t ${{ secrets.CODECOV_TOKEN }} \\\n            -f test/coverage.xml \\\n            -F unittests \\\n            -n codecov-umbrella \\\n            -v\n\n      # Use official action on x86\n      - name: Upload coverage to Codecov (Official Action on x86)\n        if: steps.arch.outputs.arch == 'x86_64'\n        uses: codecov/codecov-action@v4\n        with:\n          files: test/coverage.xml\n          token: ${{ secrets.CODECOV_TOKEN }}\n          flags: unittests\n          name: codecov-umbrella\n          fail_ci_if_error: false\n          verbose: true\n          directory: .\n"
  },
  {
    "path": ".github/workflows/auto-web-check-dev.yml",
    "content": "name: Run Auto Web Type Check\n\nconcurrency:\n  group: auto-web-type-check-${{ github.ref }}\n  cancel-in-progress: true\n\non:\n  workflow_dispatch:\n    inputs:\n      runner_label_json:\n        description: 'runner array in json format (e.g. [\"ubuntu-latest\"] or [\"self-hosted\"])'\n        default: '[\"ubuntu-latest\"]'\n  pull_request:\n    branches: [develop]\n    paths:\n      - 'frontend/**'\n      - '.github/workflows/**'\n  push:\n    branches: [develop]\n    paths:\n      - 'frontend/**'\n      - '.github/workflows/**'\n\njobs:\n  type-check:\n    runs-on: ${{ fromJson(github.event.inputs.runner_label_json || '[\"ubuntu-latest\"]') }}\n    steps:\n      - name: Checkout code\n        uses: actions/checkout@v4\n\n      - name: Set up Node.js\n        uses: actions/setup-node@v4\n        with:\n          node-version: '18'\n\n      - name: Install dependencies\n        run: |\n          cd frontend\n          npm install\n\n      - name: Run TypeScript type check\n        run: |\n          cd frontend\n          npm run type-check\n          TYPE_CHECK_EXIT_CODE=$?\n\n          # Check if type check actually passed\n          if [ $TYPE_CHECK_EXIT_CODE -ne 0 ]; then\n            echo \"❌ Type check failed with exit code $TYPE_CHECK_EXIT_CODE\"\n            exit $TYPE_CHECK_EXIT_CODE\n          else\n            echo \"✅ Type check passed successfully.\"\n          fi"
  },
  {
    "path": ".github/workflows/codeql.yml",
    "content": "# For most projects, this workflow file will not need changing; you simply need\n# to commit it to your repository.\n#\n# You may wish to alter this file to override the set of languages analyzed,\n# or to provide custom queries or build logic.\n#\n# ******** NOTE ********\n# We have attempted to detect the languages in your repository. Please check\n# the `language` matrix defined below to confirm you have the correct set of\n# supported CodeQL languages.\n#\nname: \"CodeQL Advanced\"\n\non:\n  push:\n    branches: [ \"develop\" ]\n  pull_request:\n    branches: [ \"develop\" ]\n  schedule:\n    - cron: '23 5 * * 2'\n\njobs:\n  analyze:\n    name: Analyze (${{ matrix.language }})\n    # Runner size impacts CodeQL analysis time. To learn more, please see:\n    #   - https://gh.io/recommended-hardware-resources-for-running-codeql\n    #   - https://gh.io/supported-runners-and-hardware-resources\n    #   - https://gh.io/using-larger-runners (GitHub.com only)\n    # Consider using larger runners or machines with greater resources for possible analysis time improvements.\n    runs-on: ${{ (matrix.language == 'swift' && 'macos-latest') || 'ubuntu-latest' }}\n    permissions:\n      # required for all workflows\n      security-events: write\n\n      # required to fetch internal or private CodeQL packs\n      packages: read\n\n      # only required for workflows in private repositories\n      actions: read\n      contents: read\n\n    strategy:\n      fail-fast: false\n      matrix:\n        include:\n        - language: actions\n          build-mode: none\n        - language: javascript-typescript\n          build-mode: none\n        - language: python\n          build-mode: none\n        # CodeQL supports the following values keywords for 'language': 'actions', 'c-cpp', 'csharp', 'go', 'java-kotlin', 'javascript-typescript', 'python', 'ruby', 'rust', 'swift'\n        # Use `c-cpp` to analyze code written in C, C++ or both\n        # Use 'java-kotlin' to analyze code written in Java, Kotlin or both\n        # Use 'javascript-typescript' to analyze code written in JavaScript, TypeScript or both\n        # To learn more about changing the languages that are analyzed or customizing the build mode for your analysis,\n        # see https://docs.github.com/en/code-security/code-scanning/creating-an-advanced-setup-for-code-scanning/customizing-your-advanced-setup-for-code-scanning.\n        # If you are analyzing a compiled language, you can modify the 'build-mode' for that language to customize how\n        # your codebase is analyzed, see https://docs.github.com/en/code-security/code-scanning/creating-an-advanced-setup-for-code-scanning/codeql-code-scanning-for-compiled-languages\n    steps:\n    - name: Checkout repository\n      uses: actions/checkout@v4\n\n    # Add any setup steps before running the `github/codeql-action/init` action.\n    # This includes steps like installing compilers or runtimes (`actions/setup-node`\n    # or others). This is typically only required for manual builds.\n    # - name: Setup runtime (example)\n    #   uses: actions/setup-example@v1\n\n    # Initializes the CodeQL tools for scanning.\n    - name: Initialize CodeQL\n      uses: github/codeql-action/init@v3\n      with:\n        languages: ${{ matrix.language }}\n        build-mode: ${{ matrix.build-mode }}\n        # If you wish to specify custom queries, you can do so here or in a config file.\n        # By default, queries listed here will override any specified in a config file.\n        # Prefix the list here with \"+\" to use these queries and those in the config file.\n\n        # For more details on CodeQL's query packs, refer to: https://docs.github.com/en/code-security/code-scanning/automatically-scanning-your-code-for-vulnerabilities-and-errors/configuring-code-scanning#using-queries-in-ql-packs\n        # queries: security-extended,security-and-quality\n\n    # If the analyze step fails for one of the languages you are analyzing with\n    # \"We were unable to automatically build your code\", modify the matrix above\n    # to set the build mode to \"manual\" for that language. Then modify this step\n    # to build your code.\n    # ℹ️ Command-line programs to run using the OS shell.\n    # 📚 See https://docs.github.com/en/actions/using-workflows/workflow-syntax-for-github-actions#jobsjob_idstepsrun\n    - if: matrix.build-mode == 'manual'\n      shell: bash\n      run: |\n        echo 'If you are using a \"manual\" build mode for one or more of the' \\\n          'languages you are analyzing, replace this with the commands to build' \\\n          'your code, for example:'\n        echo '  make bootstrap'\n        echo '  make release'\n        exit 1\n\n    - name: Perform CodeQL Analysis\n      uses: github/codeql-action/analyze@v3\n      with:\n        category: \"/language:${{matrix.language}}\"\n"
  },
  {
    "path": ".github/workflows/codeql_main.yml",
    "content": "# For most projects, this workflow file will not need changing; you simply need\n# to commit it to your repository.\n#\n# You may wish to alter this file to override the set of languages analyzed,\n# or to provide custom queries or build logic.\n#\n# ******** NOTE ********\n# We have attempted to detect the languages in your repository. Please check\n# the `language` matrix defined below to confirm you have the correct set of\n# supported CodeQL languages.\n#\nname: \"CodeQL Advanced\"\n\non:\n  push:\n    branches: [ \"main\" ]\n  pull_request:\n    branches: [ \"main\" ]\n  schedule:\n    - cron: '40 13 * * 6'\n\njobs:\n  analyze:\n    name: Analyze (${{ matrix.language }})\n    # Runner size impacts CodeQL analysis time. To learn more, please see:\n    #   - https://gh.io/recommended-hardware-resources-for-running-codeql\n    #   - https://gh.io/supported-runners-and-hardware-resources\n    #   - https://gh.io/using-larger-runners (GitHub.com only)\n    # Consider using larger runners or machines with greater resources for possible analysis time improvements.\n    runs-on: ${{ (matrix.language == 'swift' && 'macos-latest') || 'ubuntu-latest' }}\n    permissions:\n      # required for all workflows\n      security-events: write\n\n      # required to fetch internal or private CodeQL packs\n      packages: read\n\n      # only required for workflows in private repositories\n      actions: read\n      contents: read\n\n    strategy:\n      fail-fast: false\n      matrix:\n        include:\n        - language: actions\n          build-mode: none\n        - language: javascript-typescript\n          build-mode: none\n        - language: python\n          build-mode: none\n        # CodeQL supports the following values keywords for 'language': 'actions', 'c-cpp', 'csharp', 'go', 'java-kotlin', 'javascript-typescript', 'python', 'ruby', 'rust', 'swift'\n        # Use `c-cpp` to analyze code written in C, C++ or both\n        # Use 'java-kotlin' to analyze code written in Java, Kotlin or both\n        # Use 'javascript-typescript' to analyze code written in JavaScript, TypeScript or both\n        # To learn more about changing the languages that are analyzed or customizing the build mode for your analysis,\n        # see https://docs.github.com/en/code-security/code-scanning/creating-an-advanced-setup-for-code-scanning/customizing-your-advanced-setup-for-code-scanning.\n        # If you are analyzing a compiled language, you can modify the 'build-mode' for that language to customize how\n        # your codebase is analyzed, see https://docs.github.com/en/code-security/code-scanning/creating-an-advanced-setup-for-code-scanning/codeql-code-scanning-for-compiled-languages\n    steps:\n    - name: Checkout repository\n      uses: actions/checkout@v4\n\n    # Add any setup steps before running the `github/codeql-action/init` action.\n    # This includes steps like installing compilers or runtimes (`actions/setup-node`\n    # or others). This is typically only required for manual builds.\n    # - name: Setup runtime (example)\n    #   uses: actions/setup-example@v1\n\n    # Initializes the CodeQL tools for scanning.\n    - name: Initialize CodeQL\n      uses: github/codeql-action/init@v4\n      with:\n        languages: ${{ matrix.language }}\n        build-mode: ${{ matrix.build-mode }}\n        # If you wish to specify custom queries, you can do so here or in a config file.\n        # By default, queries listed here will override any specified in a config file.\n        # Prefix the list here with \"+\" to use these queries and those in the config file.\n\n        # For more details on CodeQL's query packs, refer to: https://docs.github.com/en/code-security/code-scanning/automatically-scanning-your-code-for-vulnerabilities-and-errors/configuring-code-scanning#using-queries-in-ql-packs\n        # queries: security-extended,security-and-quality\n\n    # If the analyze step fails for one of the languages you are analyzing with\n    # \"We were unable to automatically build your code\", modify the matrix above\n    # to set the build mode to \"manual\" for that language. Then modify this step\n    # to build your code.\n    # ℹ️ Command-line programs to run using the OS shell.\n    # 📚 See https://docs.github.com/en/actions/using-workflows/workflow-syntax-for-github-actions#jobsjob_idstepsrun\n    - name: Run manual build steps\n      if: matrix.build-mode == 'manual'\n      shell: bash\n      run: |\n        echo 'If you are using a \"manual\" build mode for one or more of the' \\\n          'languages you are analyzing, replace this with the commands to build' \\\n          'your code, for example:'\n        echo '  make bootstrap'\n        echo '  make release'\n        exit 1\n\n    - name: Perform CodeQL Analysis\n      uses: github/codeql-action/analyze@v4\n      with:\n        category: \"/language:${{matrix.language}}\"\n"
  },
  {
    "path": ".github/workflows/deploy-docs.yml",
    "content": "# Workflow to build VitePress site and deploy it to GitHub Pages\n#\nname: Deploy VitePress Docs to Pages\n\non:\n  # Run on pushes to the `develop` branch\n  push:\n    branches: [develop]\n    # Only trigger when files in the doc directory change\n    paths:\n      - 'doc/**'\n\n  # Allow manual running of this workflow from the Actions tab\n  workflow_dispatch:\n\n# Set GITHUB_TOKEN permissions to allow deployment to GitHub Pages\npermissions:\n  contents: read\n  pages: write\n  id-token: write\n\n# Only allow one deployment at a time, skip runs queued between the running run and the latest queue\n# However, do not cancel the running run, as we want to allow these production deployments to complete\nconcurrency:\n  group: pages\n  cancel-in-progress: false\n\njobs:\n  # Build job\n  build:\n    runs-on: ubuntu-latest\n    defaults:\n      run:\n        working-directory: ./doc\n    steps:\n      - name: Checkout\n        uses: actions/checkout@v4\n        with:\n          fetch-depth: 0\n\n      - name: Setup Pages\n        uses: actions/configure-pages@v4\n\n      - name: Install dependencies\n        run: npm install\n\n      - name: Build with VitePress\n        run: npm run docs:build\n        env:\n          GITHUB_PAGES: true\n\n      - name: Upload artifact\n        uses: actions/upload-pages-artifact@v3\n        with:\n          path: ./doc/docs/.vitepress/dist\n\n  # Deploy job\n  deploy:\n    environment:\n      name: github-pages\n      url: ${{ steps.deployment.outputs.page_url }}\n    needs: build\n    runs-on: ubuntu-latest\n    name: Deploy\n    steps:\n      - name: Deploy to GitHub Pages\n        id: deployment\n        uses: actions/deploy-pages@v4"
  },
  {
    "path": ".github/workflows/docker-build-push-mainland.yml",
    "content": "name: Docker Build and Push All Images to tencentyun\n\non:\n  workflow_dispatch:\n    inputs:\n      version:\n        description: 'Image version tag (e.g. v1.0.0 or latest)'\n        required: true\n        default: 'latest'\n      push_latest:\n        description: 'Also push latest tag'\n        required: false\n        default: false\n        type: boolean\n      runner_label_json:\n        description: 'runner array in json format (e.g. [\"ubuntu-latest\"] or [\"self-hosted\"])'\n        required: true\n        default: '[\"ubuntu-latest\"]'\n\njobs:\n  build-and-push-main-amd64:\n    runs-on: ${{ fromJson(inputs.runner_label_json) }}\n    steps:\n      - name: Set up Docker Buildx\n        run: |\n          if ! docker buildx inspect nexent_builder > /dev/null 2>&1; then\n            docker buildx create --name nexent_builder --use\n          else\n            docker buildx use nexent_builder\n          fi\n      - name: Checkout code\n        uses: actions/checkout@v4\n      - name: Build main image (amd64) and load locally\n        run: |\n          docker buildx build --platform linux/amd64 --load -t ccr.ccs.tencentyun.com/nexent-hub/nexent:${{ inputs.version }}-amd64 -f make/main/Dockerfile --build-arg MIRROR=https://pypi.tuna.tsinghua.edu.cn/simple --build-arg APT_MIRROR=tsinghua .\n      - name: Login to Tencent Cloud\n        run: echo ${{ secrets.TCR_PASSWORD }} | docker login ccr.ccs.tencentyun.com --username=${{ secrets.TCR_USERNAME }} --password-stdin\n      - name: Push main image (amd64) to Tencent Cloud\n        run: docker push ccr.ccs.tencentyun.com/nexent-hub/nexent:${{ inputs.version }}-amd64\n      - name: Tag main image (amd64) as latest\n        if: inputs.push_latest == 'true'\n        run: docker tag ccr.ccs.tencentyun.com/nexent-hub/nexent:${{ inputs.version }}-amd64 ccr.ccs.tencentyun.com/nexent-hub/nexent:amd64\n      - name: Push latest main image (amd64) to Tencent Cloud\n        if: inputs.push_latest == 'true'\n        run: docker push ccr.ccs.tencentyun.com/nexent-hub/nexent:amd64\n\n  build-and-push-main-arm64:\n    runs-on: ${{ fromJson(inputs.runner_label_json) }}\n    steps:\n      - name: Set up Docker Buildx\n        run: |\n          if ! docker buildx inspect nexent_builder > /dev/null 2>&1; then\n            docker buildx create --name nexent_builder --use\n          else\n            docker buildx use nexent_builder\n          fi\n      - name: Checkout code\n        uses: actions/checkout@v4\n      - name: Build main image (arm64) and load locally\n        run: |\n          docker buildx build --platform linux/arm64 --load -t ccr.ccs.tencentyun.com/nexent-hub/nexent:${{ inputs.version }}-arm64 -f make/main/Dockerfile --build-arg MIRROR=https://pypi.tuna.tsinghua.edu.cn/simple --build-arg APT_MIRROR=tsinghua .\n      - name: Login to Tencent Cloud\n        run: echo ${{ secrets.TCR_PASSWORD }} | docker login ccr.ccs.tencentyun.com --username=${{ secrets.TCR_USERNAME }} --password-stdin\n      - name: Push main image (arm64) to Tencent Cloud\n        run: docker push ccr.ccs.tencentyun.com/nexent-hub/nexent:${{ inputs.version }}-arm64\n      - name: Tag main image (arm64) as latest\n        if: inputs.push_latest == 'true'\n        run: docker tag ccr.ccs.tencentyun.com/nexent-hub/nexent:${{ inputs.version }}-arm64 ccr.ccs.tencentyun.com/nexent-hub/nexent:arm64\n      - name: Push latest main image (arm64) to Tencent Cloud\n        if: inputs.push_latest == 'true'\n        run: docker push ccr.ccs.tencentyun.com/nexent-hub/nexent:arm64\n\n  build-and-push-data-process-amd64:\n    runs-on: ${{ fromJson(inputs.runner_label_json) }}\n    steps:\n      - name: Free up disk space on GitHub runner\n        run: |\n          sudo rm -rf /usr/share/dotnet /usr/local/lib/android /opt/ghc\n      - name: Set up Docker Buildx\n        run: |\n          if ! docker buildx inspect nexent_builder > /dev/null 2>&1; then\n            docker buildx create --name nexent_builder --use\n          else\n            docker buildx use nexent_builder\n          fi\n      - name: Checkout code\n        uses: actions/checkout@v4\n      - name: Clone model\n        run: |\n          GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/Nexent-AI/model-assets\n          cd ./model-assets\n          GIT_TRACE=1 GIT_CURL_VERBOSE=1 GIT_LFS_LOG=debug git lfs pull\n          rm -rf .git .gitattributes\n      - name: Build data process image (amd64) and load locally\n        run: |\n          docker buildx build --platform linux/amd64 --load -t ccr.ccs.tencentyun.com/nexent-hub/nexent-data-process:${{ inputs.version }}-amd64 -f make/data_process/Dockerfile --build-arg MIRROR=https://pypi.tuna.tsinghua.edu.cn/simple --build-arg APT_MIRROR=tsinghua .\n      - name: Login to Tencent Cloud\n        run: echo ${{ secrets.TCR_PASSWORD }} | docker login ccr.ccs.tencentyun.com --username=${{ secrets.TCR_USERNAME }} --password-stdin\n      - name: Push data process image (amd64) to Tencent Cloud\n        run: docker push ccr.ccs.tencentyun.com/nexent-hub/nexent-data-process:${{ inputs.version }}-amd64\n      - name: Tag data process image (amd64) as latest\n        if: inputs.push_latest == 'true'\n        run: docker tag ccr.ccs.tencentyun.com/nexent-hub/nexent-data-process:${{ inputs.version }}-amd64 ccr.ccs.tencentyun.com/nexent-hub/nexent-data-process:amd64\n      - name: Push latest data process image (amd64) to Tencent Cloud\n        if: inputs.push_latest == 'true'\n        run: docker push ccr.ccs.tencentyun.com/nexent-hub/nexent-data-process:amd64\n\n  build-and-push-data-process-arm64:\n    runs-on: ${{ fromJson(inputs.runner_label_json) }}\n    steps:\n      - name: Free up disk space on GitHub runner\n        run: |\n          sudo rm -rf /usr/share/dotnet /usr/local/lib/android /opt/ghc\n      - name: Set up Docker Buildx\n        run: |\n          if ! docker buildx inspect nexent_builder > /dev/null 2>&1; then\n            docker buildx create --name nexent_builder --use\n          else\n            docker buildx use nexent_builder\n          fi\n      - name: Checkout code\n        uses: actions/checkout@v4\n      - name: Clone model\n        run: |\n          GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/Nexent-AI/model-assets\n          cd ./model-assets\n          GIT_TRACE=1 GIT_CURL_VERBOSE=1 GIT_LFS_LOG=debug git lfs pull\n          rm -rf .git .gitattributes\n      - name: Build data process image (arm64) and load locally\n        run: |\n          docker buildx build --platform linux/arm64 --load -t ccr.ccs.tencentyun.com/nexent-hub/nexent-data-process:${{ inputs.version }}-arm64 -f make/data_process/Dockerfile --build-arg MIRROR=https://pypi.tuna.tsinghua.edu.cn/simple --build-arg APT_MIRROR=tsinghua .\n      - name: Login to Tencent Cloud\n        run: echo ${{ secrets.TCR_PASSWORD }} | docker login ccr.ccs.tencentyun.com --username=${{ secrets.TCR_USERNAME }} --password-stdin\n      - name: Push data process image (arm64) to Tencent Cloud\n        run: docker push ccr.ccs.tencentyun.com/nexent-hub/nexent-data-process:${{ inputs.version }}-arm64\n      - name: Tag data process image (arm64) as latest\n        if: inputs.push_latest == 'true'\n        run: docker tag ccr.ccs.tencentyun.com/nexent-hub/nexent-data-process:${{ inputs.version }}-arm64 ccr.ccs.tencentyun.com/nexent-hub/nexent-data-process:arm64\n      - name: Push latest data process image (arm64) to Tencent Cloud\n        if: inputs.push_latest == 'true'\n        run: docker push ccr.ccs.tencentyun.com/nexent-hub/nexent-data-process:arm64\n\n  build-and-push-web-amd64:\n    runs-on: ${{ fromJson(inputs.runner_label_json) }}\n    steps:\n      - name: Set up Docker Buildx\n        run: |\n          if ! docker buildx inspect nexent_builder > /dev/null 2>&1; then\n            docker buildx create --name nexent_builder --use\n          else\n            docker buildx use nexent_builder\n          fi\n      - name: Checkout code\n        uses: actions/checkout@v4\n      - name: Build web image (amd64) and load locally\n        run: |\n          docker buildx build --platform linux/amd64 --load -t ccr.ccs.tencentyun.com/nexent-hub/nexent-web:${{ inputs.version }}-amd64 -f make/web/Dockerfile --build-arg MIRROR=https://registry.npmmirror.com --build-arg APK_MIRROR=tsinghua .\n      - name: Login to Tencent Cloud\n        run: echo ${{ secrets.TCR_PASSWORD }} | docker login ccr.ccs.tencentyun.com --username=${{ secrets.TCR_USERNAME }} --password-stdin\n      - name: Push web image (amd64) to Tencent Cloud\n        run: docker push ccr.ccs.tencentyun.com/nexent-hub/nexent-web:${{ inputs.version }}-amd64\n      - name: Tag web image (amd64) as latest\n        if: inputs.push_latest == 'true'\n        run: docker tag ccr.ccs.tencentyun.com/nexent-hub/nexent-web:${{ inputs.version }}-amd64 ccr.ccs.tencentyun.com/nexent-hub/nexent-web:amd64\n      - name: Push latest web image (amd64) to Tencent Cloud\n        if: inputs.push_latest == 'true'\n        run: docker push ccr.ccs.tencentyun.com/nexent-hub/nexent-web:amd64\n\n  build-and-push-web-arm64:\n    runs-on: ${{ fromJson(inputs.runner_label_json) }}\n    steps:\n      - name: Set up Docker Buildx\n        run: |\n          if ! docker buildx inspect nexent_builder > /dev/null 2>&1; then\n            docker buildx create --name nexent_builder --use\n          else\n            docker buildx use nexent_builder\n          fi\n      - name: Checkout code\n        uses: actions/checkout@v4\n      - name: Build web image (arm64) and load locally\n        run: |\n          docker buildx build --platform linux/arm64 --load -t ccr.ccs.tencentyun.com/nexent-hub/nexent-web:${{ inputs.version }}-arm64 -f make/web/Dockerfile --build-arg MIRROR=https://registry.npmmirror.com --build-arg APK_MIRROR=tsinghua .\n      - name: Login to Tencent Cloud\n        run: echo ${{ secrets.TCR_PASSWORD }} | docker login ccr.ccs.tencentyun.com --username=${{ secrets.TCR_USERNAME }} --password-stdin\n      - name: Push web image (arm64) to Tencent Cloud\n        run: docker push ccr.ccs.tencentyun.com/nexent-hub/nexent-web:${{ inputs.version }}-arm64\n      - name: Tag web image (arm64) as latest\n        if: inputs.push_latest == 'true'\n        run: docker tag ccr.ccs.tencentyun.com/nexent-hub/nexent-web:${{ inputs.version }}-arm64 ccr.ccs.tencentyun.com/nexent-hub/nexent-web:arm64\n      - name: Push latest web image (arm64) to Tencent Cloud\n        if: inputs.push_latest == 'true'\n        run: docker push ccr.ccs.tencentyun.com/nexent-hub/nexent-web:arm64\n\n  build-and-push-terminal-amd64:\n    runs-on: ${{ fromJson(inputs.runner_label_json) }}\n    steps:\n      - name: Set up Docker Buildx\n        run: |\n          if ! docker buildx inspect nexent_builder > /dev/null 2>&1; then\n            docker buildx create --name nexent_builder --use\n          else\n            docker buildx use nexent_builder\n          fi\n      - name: Checkout code\n        uses: actions/checkout@v4\n      - name: Build terminal image (amd64) and load locally\n        run: |\n          docker buildx build --platform linux/amd64 --load -t ccr.ccs.tencentyun.com/nexent-hub/nexent-ubuntu-terminal:${{ inputs.version }}-amd64 -f make/terminal/Dockerfile .\n      - name: Login to Tencent Cloud\n        run: echo ${{ secrets.TCR_PASSWORD }} | docker login ccr.ccs.tencentyun.com --username=${{ secrets.TCR_USERNAME }} --password-stdin\n      - name: Push terminal image (amd64) to Tencent Cloud\n        run: docker push ccr.ccs.tencentyun.com/nexent-hub/nexent-ubuntu-terminal:${{ inputs.version }}-amd64\n      - name: Tag terminal image (amd64) as latest\n        if: inputs.push_latest == 'true'\n        run: docker tag ccr.ccs.tencentyun.com/nexent-hub/nexent-ubuntu-terminal:${{ inputs.version }}-amd64 ccr.ccs.tencentyun.com/nexent-hub/nexent-ubuntu-terminal:amd64\n      - name: Push latest terminal image (amd64) to Tencent Cloud\n        if: inputs.push_latest == 'true'\n        run: docker push ccr.ccs.tencentyun.com/nexent-hub/nexent-ubuntu-terminal:amd64\n\n  build-and-push-terminal-arm64:\n    runs-on: ${{ fromJson(inputs.runner_label_json) }}\n    steps:\n      - name: Set up Docker Buildx\n        run: |\n          if ! docker buildx inspect nexent_builder > /dev/null 2>&1; then\n            docker buildx create --name nexent_builder --use\n          else\n            docker buildx use nexent_builder\n          fi\n      - name: Checkout code\n        uses: actions/checkout@v4\n      - name: Build terminal image (arm64) and load locally\n        run: |\n          docker buildx build --platform linux/arm64 --load -t ccr.ccs.tencentyun.com/nexent-hub/nexent-ubuntu-terminal:${{ inputs.version }}-arm64 -f make/terminal/Dockerfile .\n      - name: Login to Tencent Cloud\n        run: echo ${{ secrets.TCR_PASSWORD }} | docker login ccr.ccs.tencentyun.com --username=${{ secrets.TCR_USERNAME }} --password-stdin\n      - name: Push terminal image (arm64) to Tencent Cloud\n        run: docker push ccr.ccs.tencentyun.com/nexent-hub/nexent-ubuntu-terminal:${{ inputs.version }}-arm64\n      - name: Tag terminal image (arm64) as latest\n        if: inputs.push_latest == 'true'\n        run: docker tag ccr.ccs.tencentyun.com/nexent-hub/nexent-ubuntu-terminal:${{ inputs.version }}-arm64 ccr.ccs.tencentyun.com/nexent-hub/nexent-ubuntu-terminal:arm64\n      - name: Push latest terminal image (arm64) to Tencent Cloud\n        if: inputs.push_latest == 'true'\n        run: docker push ccr.ccs.tencentyun.com/nexent-hub/nexent-ubuntu-terminal:arm64\n\n  build-and-push-mcp-amd64:\n    runs-on: ${{ fromJson(inputs.runner_label_json) }}\n    steps:\n      - name: Set up Docker Buildx\n        run: |\n          if ! docker buildx inspect nexent_builder > /dev/null 2>&1; then\n            docker buildx create --name nexent_builder --use\n          else\n            docker buildx use nexent_builder\n          fi\n      - name: Checkout code\n        uses: actions/checkout@v4\n      - name: Build MCP image (amd64) and load locally\n        run: |\n          docker buildx build --platform linux/amd64 --load -t ccr.ccs.tencentyun.com/nexent-hub/nexent-mcp:${{ inputs.version }}-amd64 -f make/mcp/Dockerfile --build-arg MIRROR=https://pypi.tuna.tsinghua.edu.cn/simple --build-arg APT_MIRROR=tsinghua .\n      - name: Login to Tencent Cloud\n        run: echo ${{ secrets.TCR_PASSWORD }} | docker login ccr.ccs.tencentyun.com --username=${{ secrets.TCR_USERNAME }} --password-stdin\n      - name: Push MCP image (amd64) to Tencent Cloud\n        run: docker push ccr.ccs.tencentyun.com/nexent-hub/nexent-mcp:${{ inputs.version }}-amd64\n      - name: Tag MCP image (amd64) as latest\n        if: inputs.push_latest == 'true'\n        run: docker tag ccr.ccs.tencentyun.com/nexent-hub/nexent-mcp:${{ inputs.version }}-amd64 ccr.ccs.tencentyun.com/nexent-hub/nexent-mcp:amd64\n      - name: Push latest MCP image (amd64) to Tencent Cloud\n        if: inputs.push_latest == 'true'\n        run: docker push ccr.ccs.tencentyun.com/nexent-hub/nexent-mcp:amd64\n\n  build-and-push-mcp-arm64:\n    runs-on: ${{ fromJson(inputs.runner_label_json) }}\n    steps:\n      - name: Set up Docker Buildx\n        run: |\n          if ! docker buildx inspect nexent_builder > /dev/null 2>&1; then\n            docker buildx create --name nexent_builder --use\n          else\n            docker buildx use nexent_builder\n          fi\n      - name: Checkout code\n        uses: actions/checkout@v4\n      - name: Build MCP image (arm64) and load locally\n        run: |\n          docker buildx build --platform linux/arm64 --load -t ccr.ccs.tencentyun.com/nexent-hub/nexent-mcp:${{ inputs.version }}-arm64 -f make/mcp/Dockerfile --build-arg MIRROR=https://pypi.tuna.tsinghua.edu.cn/simple --build-arg APT_MIRROR=tsinghua .\n      - name: Login to Tencent Cloud\n        run: echo ${{ secrets.TCR_PASSWORD }} | docker login ccr.ccs.tencentyun.com --username=${{ secrets.TCR_USERNAME }} --password-stdin\n      - name: Push MCP image (arm64) to Tencent Cloud\n        run: docker push ccr.ccs.tencentyun.com/nexent-hub/nexent-mcp:${{ inputs.version }}-arm64\n      - name: Tag MCP image (arm64) as latest\n        if: inputs.push_latest == 'true'\n        run: docker tag ccr.ccs.tencentyun.com/nexent-hub/nexent-mcp:${{ inputs.version }}-arm64 ccr.ccs.tencentyun.com/nexent-hub/nexent-mcp:arm64\n      - name: Push latest MCP image (arm64) to Tencent Cloud\n        if: inputs.push_latest == 'true'\n        run: docker push ccr.ccs.tencentyun.com/nexent-hub/nexent-mcp:arm64\n\n  manifest-push-main:\n    runs-on: ubuntu-latest\n    needs:\n      - build-and-push-main-amd64\n      - build-and-push-main-arm64\n    steps:\n      - name: Login to Tencent Cloud\n        run: echo ${{ secrets.TCR_PASSWORD }} | docker login ccr.ccs.tencentyun.com --username=${{ secrets.TCR_USERNAME }} --password-stdin\n      - name: Create and push manifest for main (Tencent Cloud)\n        run: |\n          docker manifest create ccr.ccs.tencentyun.com/nexent-hub/nexent:${{ inputs.version }} \\\n            ccr.ccs.tencentyun.com/nexent-hub/nexent:${{ inputs.version }}-amd64 \\\n            ccr.ccs.tencentyun.com/nexent-hub/nexent:${{ inputs.version }}-arm64\n          docker manifest push ccr.ccs.tencentyun.com/nexent-hub/nexent:${{ inputs.version }}\n      - name: Create and push latest manifest for main (Tencent Cloud)\n        if: inputs.push_latest == 'true'\n        run: |\n          docker manifest create ccr.ccs.tencentyun.com/nexent-hub/nexent:latest \\\n            ccr.ccs.tencentyun.com/nexent-hub/nexent:amd64 \\\n            ccr.ccs.tencentyun.com/nexent-hub/nexent:arm64\n          docker manifest push ccr.ccs.tencentyun.com/nexent-hub/nexent:latest\n\n  manifest-push-data-process:\n    runs-on: ubuntu-latest\n    needs:\n      - build-and-push-data-process-amd64\n      - build-and-push-data-process-arm64\n    steps:\n      - name: Login to Tencent Cloud\n        run: echo ${{ secrets.TCR_PASSWORD }} | docker login ccr.ccs.tencentyun.com --username=${{ secrets.TCR_USERNAME }} --password-stdin\n      - name: Create and push manifest for data-process (Tencent Cloud)\n        run: |\n          docker manifest create ccr.ccs.tencentyun.com/nexent-hub/nexent-data-process:${{ inputs.version }} \\\n            ccr.ccs.tencentyun.com/nexent-hub/nexent-data-process:${{ inputs.version }}-amd64 \\\n            ccr.ccs.tencentyun.com/nexent-hub/nexent-data-process:${{ inputs.version }}-arm64\n          docker manifest push ccr.ccs.tencentyun.com/nexent-hub/nexent-data-process:${{ inputs.version }}\n      - name: Create and push latest manifest for data-process (Tencent Cloud)\n        if: inputs.push_latest == 'true'\n        run: |\n          docker manifest create ccr.ccs.tencentyun.com/nexent-hub/nexent-data-process:latest \\\n            ccr.ccs.tencentyun.com/nexent-hub/nexent-data-process:amd64 \\\n            ccr.ccs.tencentyun.com/nexent-hub/nexent-data-process:arm64\n          docker manifest push ccr.ccs.tencentyun.com/nexent-hub/nexent-data-process:latest\n\n  manifest-push-web:\n    runs-on: ubuntu-latest\n    needs:\n      - build-and-push-web-amd64\n      - build-and-push-web-arm64\n    steps:\n      - name: Login to Tencent Cloud\n        run: echo ${{ secrets.TCR_PASSWORD }} | docker login ccr.ccs.tencentyun.com --username=${{ secrets.TCR_USERNAME }} --password-stdin\n      - name: Create and push manifest for web (Tencent Cloud)\n        run: |\n          docker manifest create ccr.ccs.tencentyun.com/nexent-hub/nexent-web:${{ inputs.version }} \\\n            ccr.ccs.tencentyun.com/nexent-hub/nexent-web:${{ inputs.version }}-amd64 \\\n            ccr.ccs.tencentyun.com/nexent-hub/nexent-web:${{ inputs.version }}-arm64\n          docker manifest push ccr.ccs.tencentyun.com/nexent-hub/nexent-web:${{ inputs.version }}\n      - name: Create and push latest manifest for web (Tencent Cloud)\n        if: inputs.push_latest == 'true'\n        run: |\n          docker manifest create ccr.ccs.tencentyun.com/nexent-hub/nexent-web:latest \\\n            ccr.ccs.tencentyun.com/nexent-hub/nexent-web:amd64 \\\n            ccr.ccs.tencentyun.com/nexent-hub/nexent-web:arm64\n          docker manifest push ccr.ccs.tencentyun.com/nexent-hub/nexent-web:latest\n\n  manifest-push-terminal:\n    runs-on: ubuntu-latest\n    needs:\n      - build-and-push-terminal-amd64\n      - build-and-push-terminal-arm64\n    steps:\n      - name: Login to Tencent Cloud\n        run: echo ${{ secrets.TCR_PASSWORD }} | docker login ccr.ccs.tencentyun.com --username=${{ secrets.TCR_USERNAME }} --password-stdin\n      - name: Create and push manifest for terminal (Tencent Cloud)\n        run: |\n          docker manifest create ccr.ccs.tencentyun.com/nexent-hub/nexent-ubuntu-terminal:${{ inputs.version }} \\\n            ccr.ccs.tencentyun.com/nexent-hub/nexent-ubuntu-terminal:${{ inputs.version }}-amd64 \\\n            ccr.ccs.tencentyun.com/nexent-hub/nexent-ubuntu-terminal:${{ inputs.version }}-arm64\n          docker manifest push ccr.ccs.tencentyun.com/nexent-hub/nexent-ubuntu-terminal:${{ inputs.version }}\n      - name: Create and push latest manifest for terminal (Tencent Cloud)\n        if: inputs.push_latest == 'true'\n        run: |\n          docker manifest create ccr.ccs.tencentyun.com/nexent-hub/nexent-ubuntu-terminal:latest \\\n            ccr.ccs.tencentyun.com/nexent-hub/nexent-ubuntu-terminal:amd64 \\\n            ccr.ccs.tencentyun.com/nexent-hub/nexent-ubuntu-terminal:arm64\n          docker manifest push ccr.ccs.tencentyun.com/nexent-hub/nexent-ubuntu-terminal:latest\n\n  manifest-push-mcp:\n    runs-on: ubuntu-latest\n    needs:\n      - build-and-push-mcp-amd64\n      - build-and-push-mcp-arm64\n    steps:\n      - name: Login to Tencent Cloud\n        run: echo ${{ secrets.TCR_PASSWORD }} | docker login ccr.ccs.tencentyun.com --username=${{ secrets.TCR_USERNAME }} --password-stdin\n      - name: Create and push manifest for mcp (Tencent Cloud)\n        run: |\n          docker manifest create ccr.ccs.tencentyun.com/nexent-hub/nexent-mcp:${{ inputs.version }} \\\n            ccr.ccs.tencentyun.com/nexent-hub/nexent-mcp:${{ inputs.version }}-amd64 \\\n            ccr.ccs.tencentyun.com/nexent-hub/nexent-mcp:${{ inputs.version }}-arm64\n          docker manifest push ccr.ccs.tencentyun.com/nexent-hub/nexent-mcp:${{ inputs.version }}\n      - name: Create and push latest manifest for mcp (Tencent Cloud)\n        if: inputs.push_latest == 'true'\n        run: |\n          docker manifest create ccr.ccs.tencentyun.com/nexent-hub/nexent-mcp:latest \\\n            ccr.ccs.tencentyun.com/nexent-hub/nexent-mcp:amd64 \\\n            ccr.ccs.tencentyun.com/nexent-hub/nexent-mcp:arm64\n          docker manifest push ccr.ccs.tencentyun.com/nexent-hub/nexent-mcp:latest"
  },
  {
    "path": ".github/workflows/docker-build-push-overseas.yml",
    "content": "name: Docker Build and Push All Images to DockerHub\n\non:\n  workflow_dispatch:\n    inputs:\n      version:\n        description: 'Image version tag (e.g. v1.0.0 or latest)'\n        required: true\n        default: 'latest'\n      push_latest:\n        description: 'Also push latest tag'\n        required: false\n        default: false\n        type: boolean\n      runner_label_json:\n        description: 'runner array in json format (e.g. [\"ubuntu-latest\"] or [\"self-hosted\"])'\n        required: true\n        default: '[\"ubuntu-latest\"]'\n\njobs:\n  build-and-push-main-amd64:\n    runs-on: ${{ fromJson(inputs.runner_label_json) }}\n    steps:\n      - name: Set up Docker Buildx\n        run: |\n          if ! docker buildx inspect nexent_builder > /dev/null 2>&1; then\n            docker buildx create --name nexent_builder --use\n          else\n            docker buildx use nexent_builder\n          fi\n      - name: Checkout code\n        uses: actions/checkout@v4\n      - name: Build main image (amd64) and load locally\n        run: |\n          docker buildx build --platform linux/amd64 -t nexent/nexent:${{ inputs.version }}-amd64 --load -f make/main/Dockerfile .\n      - name: Login to DockerHub\n        run: echo ${{ secrets.DOCKERHUB_TOKEN }} | docker login -u nexent --password-stdin\n      - name: Push main image (amd64) to DockerHub\n        run: docker push nexent/nexent:${{ inputs.version }}-amd64\n      - name: Tag main image (amd64) as latest\n        if: inputs.push_latest == 'true'\n        run: docker tag nexent/nexent:${{ inputs.version }}-amd64 nexent/nexent:amd64\n      - name: Push latest main image (amd64) to DockerHub\n        if: inputs.push_latest == 'true'\n        run: docker push nexent/nexent:amd64\n\n  build-and-push-main-arm64:\n    runs-on: ${{ fromJson(inputs.runner_label_json) }}\n    steps:\n      - name: Set up Docker Buildx\n        run: |\n          if ! docker buildx inspect nexent_builder > /dev/null 2>&1; then\n            docker buildx create --name nexent_builder --use\n          else\n            docker buildx use nexent_builder\n          fi\n      - name: Checkout code\n        uses: actions/checkout@v4\n      - name: Build main image (arm64) and load locally\n        run: |\n          docker buildx build --platform linux/arm64 -t nexent/nexent:${{ inputs.version }}-arm64 --load -f make/main/Dockerfile .\n      - name: Login to DockerHub\n        run: echo ${{ secrets.DOCKERHUB_TOKEN }} | docker login -u nexent --password-stdin\n      - name: Push main image (arm64) to DockerHub\n        run: docker push nexent/nexent:${{ inputs.version }}-arm64\n      - name: Tag main image (arm64) as latest\n        if: inputs.push_latest == 'true'\n        run: docker tag nexent/nexent:${{ inputs.version }}-arm64 nexent/nexent:arm64\n      - name: Push latest main image (arm64) to DockerHub\n        if: inputs.push_latest == 'true'\n        run: docker push nexent/nexent:arm64\n\n  build-and-push-data-process-amd64:\n    runs-on: ${{ fromJson(inputs.runner_label_json) }}\n    steps:\n      - name: Free up disk space on GitHub runner\n        run: |\n          sudo rm -rf /usr/share/dotnet /usr/local/lib/android /opt/ghc\n      - name: Set up Docker Buildx\n        run: |\n          if ! docker buildx inspect nexent_builder > /dev/null 2>&1; then\n            docker buildx create --name nexent_builder --use\n          else\n            docker buildx use nexent_builder\n          fi\n      - name: Checkout code\n        uses: actions/checkout@v4\n      - name: Clone model\n        run: |\n          GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/Nexent-AI/model-assets\n          cd ./model-assets\n          GIT_TRACE=1 GIT_CURL_VERBOSE=1 GIT_LFS_LOG=debug git lfs pull\n          rm -rf .git .gitattributes\n      - name: Build data process image (amd64) and load locally\n        run: |\n          docker buildx build --platform linux/amd64 -t nexent/nexent-data-process:${{ inputs.version }}-amd64 --load -f make/data_process/Dockerfile .\n      - name: Login to DockerHub\n        run: echo ${{ secrets.DOCKERHUB_TOKEN }} | docker login -u nexent --password-stdin\n      - name: Push data process image (amd64) to DockerHub\n        run: docker push nexent/nexent-data-process:${{ inputs.version }}-amd64\n      - name: Tag data process image (amd64) as latest\n        if: inputs.push_latest == 'true'\n        run: docker tag nexent/nexent-data-process:${{ inputs.version }}-amd64 nexent/nexent-data-process:amd64\n      - name: Push latest data process image (amd64) to DockerHub\n        if: inputs.push_latest == 'true'\n        run: docker push nexent/nexent-data-process:amd64\n\n  build-and-push-data-process-arm64:\n    runs-on: ${{ fromJson(inputs.runner_label_json) }}\n    steps:\n      - name: Free up disk space on GitHub runner\n        run: |\n          sudo rm -rf /usr/share/dotnet /usr/local/lib/android /opt/ghc\n      - name: Set up Docker Buildx\n        run: |\n          if ! docker buildx inspect nexent_builder > /dev/null 2>&1; then\n            docker buildx create --name nexent_builder --use\n          else\n            docker buildx use nexent_builder\n          fi\n      - name: Checkout code\n        uses: actions/checkout@v4\n      - name: Clone model\n        run: |\n          GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/Nexent-AI/model-assets\n          cd ./model-assets\n          GIT_TRACE=1 GIT_CURL_VERBOSE=1 GIT_LFS_LOG=debug git lfs pull\n          rm -rf .git .gitattributes\n      - name: Build data process image (arm64) and load locally\n        run: |\n          docker buildx build --platform linux/arm64 -t nexent/nexent-data-process:${{ inputs.version }}-arm64 --load -f make/data_process/Dockerfile .\n      - name: Login to DockerHub\n        run: echo ${{ secrets.DOCKERHUB_TOKEN }} | docker login -u nexent --password-stdin\n      - name: Push data process image (arm64) to DockerHub\n        run: docker push nexent/nexent-data-process:${{ inputs.version }}-arm64\n      - name: Tag data process image (arm64) as latest\n        if: inputs.push_latest == 'true'\n        run: docker tag nexent/nexent-data-process:${{ inputs.version }}-arm64 nexent/nexent-data-process:arm64\n      - name: Push latest data process image (arm64) to DockerHub\n        if: inputs.push_latest == 'true'\n        run: docker push nexent/nexent-data-process:arm64\n\n  build-and-push-web-amd64:\n    runs-on: ${{ fromJson(inputs.runner_label_json) }}\n    steps:\n      - name: Set up Docker Buildx\n        run: |\n          if ! docker buildx inspect nexent_builder > /dev/null 2>&1; then\n            docker buildx create --name nexent_builder --use\n          else\n            docker buildx use nexent_builder\n          fi\n      - name: Checkout code\n        uses: actions/checkout@v4\n      - name: Build web image (amd64) and load locally\n        run: |\n          docker buildx build --platform linux/amd64 -t nexent/nexent-web:${{ inputs.version }}-amd64 --load -f make/web/Dockerfile .\n      - name: Login to DockerHub\n        run: echo ${{ secrets.DOCKERHUB_TOKEN }} | docker login -u nexent --password-stdin\n      - name: Push web image (amd64) to DockerHub\n        run: docker push nexent/nexent-web:${{ inputs.version }}-amd64\n      - name: Tag web image (amd64) as latest\n        if: inputs.push_latest == 'true'\n        run: docker tag nexent/nexent-web:${{ inputs.version }}-amd64 nexent/nexent-web:amd64\n      - name: Push latest web image (amd64) to DockerHub\n        if: inputs.push_latest == 'true'\n        run: docker push nexent/nexent-web:amd64\n\n  build-and-push-web-arm64:\n    runs-on: ${{ fromJson(inputs.runner_label_json) }}\n    steps:\n      - name: Set up Docker Buildx\n        run: |\n          if ! docker buildx inspect nexent_builder > /dev/null 2>&1; then\n            docker buildx create --name nexent_builder --use\n          else\n            docker buildx use nexent_builder\n          fi\n      - name: Checkout code\n        uses: actions/checkout@v4\n      - name: Build web image (arm64) and load locally\n        run: |\n          docker buildx build --platform linux/arm64 -t nexent/nexent-web:${{ inputs.version }}-arm64 --load -f make/web/Dockerfile .\n      - name: Login to DockerHub\n        run: echo ${{ secrets.DOCKERHUB_TOKEN }} | docker login -u nexent --password-stdin\n      - name: Push web image (arm64) to DockerHub\n        run: docker push nexent/nexent-web:${{ inputs.version }}-arm64\n      - name: Tag web image (arm64) as latest\n        if: inputs.push_latest == 'true'\n        run: docker tag nexent/nexent-web:${{ inputs.version }}-arm64 nexent/nexent-web:arm64\n      - name: Push latest web image (arm64) to DockerHub\n        if: inputs.push_latest == 'true'\n        run: docker push nexent/nexent-web:arm64\n\n  build-and-push-terminal-amd64:\n    runs-on: ${{ fromJson(inputs.runner_label_json) }}\n    steps:\n      - name: Set up Docker Buildx\n        run: |\n          if ! docker buildx inspect nexent_builder > /dev/null 2>&1; then\n            docker buildx create --name nexent_builder --use\n          else\n            docker buildx use nexent_builder\n          fi\n      - name: Checkout code\n        uses: actions/checkout@v4\n      - name: Build terminal image (amd64) and load locally\n        run: |\n          docker buildx build --platform linux/amd64 -t nexent/nexent-ubuntu-terminal:${{ inputs.version }}-amd64 --load -f make/terminal/Dockerfile .\n      - name: Login to DockerHub\n        run: echo ${{ secrets.DOCKERHUB_TOKEN }} | docker login -u nexent --password-stdin\n      - name: Push terminal image (amd64) to DockerHub\n        run: docker push nexent/nexent-ubuntu-terminal:${{ inputs.version }}-amd64\n      - name: Tag terminal image (amd64) as latest\n        if: inputs.push_latest == 'true'\n        run: docker tag nexent/nexent-ubuntu-terminal:${{ inputs.version }}-amd64 nexent/nexent-ubuntu-terminal:amd64\n      - name: Push latest terminal image (amd64) to DockerHub\n        if: inputs.push_latest == 'true'\n        run: docker push nexent/nexent-ubuntu-terminal:amd64\n\n  build-and-push-terminal-arm64:\n    runs-on: ${{ fromJson(inputs.runner_label_json) }}\n    steps:\n      - name: Set up Docker Buildx\n        run: |\n          if ! docker buildx inspect nexent_builder > /dev/null 2>&1; then\n            docker buildx create --name nexent_builder --use\n          else\n            docker buildx use nexent_builder\n          fi\n      - name: Checkout code\n        uses: actions/checkout@v4\n      - name: Build terminal image (arm64) and load locally\n        run: |\n          docker buildx build --platform linux/arm64 -t nexent/nexent-ubuntu-terminal:${{ inputs.version }}-arm64 --load -f make/terminal/Dockerfile .\n      - name: Login to DockerHub\n        run: echo ${{ secrets.DOCKERHUB_TOKEN }} | docker login -u nexent --password-stdin\n      - name: Push terminal image (arm64) to DockerHub\n        run: docker push nexent/nexent-ubuntu-terminal:${{ inputs.version }}-arm64\n      - name: Tag terminal image (arm64) as latest\n        if: inputs.push_latest == 'true'\n        run: docker tag nexent/nexent-ubuntu-terminal:${{ inputs.version }}-arm64 nexent/nexent-ubuntu-terminal:arm64\n      - name: Push latest terminal image (arm64) to DockerHub\n        if: inputs.push_latest == 'true'\n        run: docker push nexent/nexent-ubuntu-terminal:arm64\n\n  build-and-push-mcp-amd64:\n    runs-on: ${{ fromJson(inputs.runner_label_json) }}\n    steps:\n      - name: Set up Docker Buildx\n        run: |\n          if ! docker buildx inspect nexent_builder > /dev/null 2>&1; then\n            docker buildx create --name nexent_builder --use\n          else\n            docker buildx use nexent_builder\n          fi\n      - name: Checkout code\n        uses: actions/checkout@v4\n      - name: Build MCP image (amd64) and load locally\n        run: |\n          docker buildx build --platform linux/amd64 -t nexent/nexent-mcp:${{ inputs.version }}-amd64 --load -f make/mcp/Dockerfile .\n      - name: Login to DockerHub\n        run: echo ${{ secrets.DOCKERHUB_TOKEN }} | docker login -u nexent --password-stdin\n      - name: Push MCP image (amd64) to DockerHub\n        run: docker push nexent/nexent-mcp:${{ inputs.version }}-amd64\n      - name: Tag MCP image (amd64) as latest\n        if: inputs.push_latest == 'true'\n        run: docker tag nexent/nexent-mcp:${{ inputs.version }}-amd64 nexent/nexent-mcp:amd64\n      - name: Push latest MCP image (amd64) to DockerHub\n        if: inputs.push_latest == 'true'\n        run: docker push nexent/nexent-mcp:amd64\n\n  build-and-push-mcp-arm64:\n    runs-on: ${{ fromJson(inputs.runner_label_json) }}\n    steps:\n      - name: Set up Docker Buildx\n        run: |\n          if ! docker buildx inspect nexent_builder > /dev/null 2>&1; then\n            docker buildx create --name nexent_builder --use\n          else\n            docker buildx use nexent_builder\n          fi\n      - name: Checkout code\n        uses: actions/checkout@v4\n      - name: Build MCP image (arm64) and load locally\n        run: |\n          docker buildx build --platform linux/arm64 -t nexent/nexent-mcp:${{ inputs.version }}-arm64 --load -f make/mcp/Dockerfile .\n      - name: Login to DockerHub\n        run: echo ${{ secrets.DOCKERHUB_TOKEN }} | docker login -u nexent --password-stdin\n      - name: Push MCP image (arm64) to DockerHub\n        run: docker push nexent/nexent-mcp:${{ inputs.version }}-arm64\n      - name: Tag MCP image (arm64) as latest\n        if: inputs.push_latest == 'true'\n        run: docker tag nexent/nexent-mcp:${{ inputs.version }}-arm64 nexent/nexent-mcp:arm64\n      - name: Push latest MCP image (arm64) to DockerHub\n        if: inputs.push_latest == 'true'\n        run: docker push nexent/nexent-mcp:arm64\n\n  manifest-push-main:\n    runs-on: ubuntu-latest\n    needs:\n      - build-and-push-main-amd64\n      - build-and-push-main-arm64\n    steps:\n      - name: Login to DockerHub\n        run: echo ${{ secrets.DOCKERHUB_TOKEN }} | docker login -u nexent --password-stdin\n      - name: Create and push manifest for main (DockerHub)\n        run: |\n          docker manifest create nexent/nexent:${{ inputs.version }} \\\n            nexent/nexent:${{ inputs.version }}-amd64 \\\n            nexent/nexent:${{ inputs.version }}-arm64\n          docker manifest push nexent/nexent:${{ inputs.version }}\n      - name: Create and push latest manifest for main (DockerHub)\n        if: inputs.push_latest == 'true'\n        run: |\n          docker manifest create nexent/nexent:latest \\\n            nexent/nexent:amd64 \\\n            nexent/nexent:arm64\n          docker manifest push nexent/nexent:latest\n\n  manifest-push-data-process:\n    runs-on: ubuntu-latest\n    needs:\n      - build-and-push-data-process-amd64\n      - build-and-push-data-process-arm64\n    steps:\n      - name: Login to DockerHub\n        run: echo ${{ secrets.DOCKERHUB_TOKEN }} | docker login -u nexent --password-stdin\n      - name: Create and push manifest for data-process (DockerHub)\n        run: |\n          docker manifest create nexent/nexent-data-process:${{ inputs.version }} \\\n            nexent/nexent-data-process:${{ inputs.version }}-amd64 \\\n            nexent/nexent-data-process:${{ inputs.version }}-arm64\n          docker manifest push nexent/nexent-data-process:${{ inputs.version }}\n      - name: Create and push latest manifest for data-process (DockerHub)\n        if: inputs.push_latest == 'true'\n        run: |\n          docker manifest create nexent/nexent-data-process:latest \\\n            nexent/nexent-data-process:amd64 \\\n            nexent/nexent-data-process:arm64\n          docker manifest push nexent/nexent-data-process:latest\n\n  manifest-push-web:\n    runs-on: ubuntu-latest\n    needs:\n      - build-and-push-web-amd64\n      - build-and-push-web-arm64\n    steps:\n      - name: Login to DockerHub\n        run: echo ${{ secrets.DOCKERHUB_TOKEN }} | docker login -u nexent --password-stdin\n      - name: Create and push manifest for web (DockerHub)\n        run: |\n          docker manifest create nexent/nexent-web:${{ inputs.version }} \\\n            nexent/nexent-web:${{ inputs.version }}-amd64 \\\n            nexent/nexent-web:${{ inputs.version }}-arm64\n          docker manifest push nexent/nexent-web:${{ inputs.version }}\n      - name: Create and push latest manifest for web (DockerHub)\n        if: inputs.push_latest == 'true'\n        run: |\n          docker manifest create nexent/nexent-web:latest \\\n            nexent/nexent-web:amd64 \\\n            nexent/nexent-web:arm64\n          docker manifest push nexent/nexent-web:latest\n\n  manifest-push-terminal:\n    runs-on: ubuntu-latest\n    needs:\n      - build-and-push-terminal-amd64\n      - build-and-push-terminal-arm64\n    steps:\n      - name: Login to DockerHub\n        run: echo ${{ secrets.DOCKERHUB_TOKEN }} | docker login -u nexent --password-stdin\n      - name: Create and push manifest for terminal (DockerHub)\n        run: |\n          docker manifest create nexent/nexent-ubuntu-terminal:${{ inputs.version }} \\\n            nexent/nexent-ubuntu-terminal:${{ inputs.version }}-amd64 \\\n            nexent/nexent-ubuntu-terminal:${{ inputs.version }}-arm64\n          docker manifest push nexent/nexent-ubuntu-terminal:${{ inputs.version }}\n      - name: Create and push latest manifest for terminal (DockerHub)\n        if: inputs.push_latest == 'true'\n        run: |\n          docker manifest create nexent/nexent-ubuntu-terminal:latest \\\n            nexent/nexent-ubuntu-terminal:amd64 \\\n            nexent/nexent-ubuntu-terminal:arm64\n          docker manifest push nexent/nexent-ubuntu-terminal:latest\n\n  manifest-push-mcp:\n    runs-on: ubuntu-latest\n    needs:\n      - build-and-push-mcp-amd64\n      - build-and-push-mcp-arm64\n    steps:\n      - name: Login to DockerHub\n        run: echo ${{ secrets.DOCKERHUB_TOKEN }} | docker login -u nexent --password-stdin\n      - name: Create and push manifest for mcp (DockerHub)\n        run: |\n          docker manifest create nexent/nexent-mcp:${{ inputs.version }} \\\n            nexent/nexent-mcp:${{ inputs.version }}-amd64 \\\n            nexent/nexent-mcp:${{ inputs.version }}-arm64\n          docker manifest push nexent/nexent-mcp:${{ inputs.version }}\n      - name: Create and push latest manifest for mcp (DockerHub)\n        if: inputs.push_latest == 'true'\n        run: |\n          docker manifest create nexent/nexent-mcp:latest \\\n            nexent/nexent-mcp:amd64 \\\n            nexent/nexent-mcp:arm64\n          docker manifest push nexent/nexent-mcp:latest"
  },
  {
    "path": ".github/workflows/docker-deploy.yml",
    "content": "name: Deploy Nexent Community\n\non:\n  workflow_dispatch:\n    inputs:\n      deployment_mode:\n        description: 'Deployment mode: development or production'\n        required: true\n        default: 'development'\n        type: choice\n        options:\n          - development\n          - production\n      runner_label_json:\n        description: 'runner array in json format (e.g. [\"ubuntu-latest\"] or [\"self-hosted\"])'\n        required: true\n        default: '[]'\n      app_version:\n        description: 'Docker image tag to build and deploy (e.g. v1.7.1)'\n        required: true\n        default: 'latest'\n        type: string\n\njobs:\n  build-main:\n    runs-on: ${{ fromJson(inputs.runner_label_json) }}\n    steps:\n      - name: Checkout code\n        uses: actions/checkout@v4\n      - name: Build main application image\n        run: docker build --build-arg MIRROR=https://pypi.tuna.tsinghua.edu.cn/simple --build-arg APT_MIRROR=tsinghua -t nexent/nexent:${{ github.event.inputs.app_version }} -t nexent/nexent -f make/main/Dockerfile .\n\n  build-data-process:\n    runs-on: ${{ fromJson(inputs.runner_label_json) }}\n    steps:\n      - name: Checkout code\n        uses: actions/checkout@v4\n      - name: Check if model is cached locally\n        id: check-model\n        run: |\n          if [ -f ~/model-assets/clip-vit-base-patch32/config.json ] && [ -d ~/model-assets/nltk_data ]; then\n            echo \"cache-hit=true\" >> \"$GITHUB_OUTPUT\"\n            cp -r ~/model-assets ./\n          else\n            echo \"cache-hit=false\" >> \"$GITHUB_OUTPUT\"\n          fi\n      - name: Clone model if not cached\n        if: steps.check-model.outputs.cache-hit == 'false'\n        run: |\n          GIT_LFS_SKIP_SMUDGE=1 git clone https://hf-mirror.com/Nexent-AI/model-assets\n          cd ./model-assets\n          GIT_TRACE=1 GIT_CURL_VERBOSE=1 GIT_LFS_LOG=debug git lfs pull\n          rm -rf .git .gitattributes\n      - name: Build data process image\n        run: docker build --build-arg MIRROR=https://pypi.tuna.tsinghua.edu.cn/simple --build-arg APT_MIRROR=tsinghua -t nexent/nexent-data-process:${{ github.event.inputs.app_version }} -t nexent/nexent-data-process -f make/data_process/Dockerfile .\n\n  build-web:\n    runs-on: ${{ fromJson(inputs.runner_label_json) }}\n    steps:\n      - name: Checkout code\n        uses: actions/checkout@v4\n      - name: Build web frontend image\n        run: docker build --build-arg MIRROR=https://registry.npmmirror.com --build-arg APK_MIRROR=tsinghua -t nexent/nexent-web:${{ github.event.inputs.app_version }} -t nexent/nexent-web -f make/web/Dockerfile .\n\n  build-docs:\n    runs-on: ${{ fromJson(inputs.runner_label_json) }}\n    steps:\n      - name: Checkout code\n        uses: actions/checkout@v4\n      - name: Build docs image\n        run: docker build --progress=plain -t nexent/nexent-docs:${{ github.event.inputs.app_version }} -t nexent/nexent-docs -f make/docs/Dockerfile .\n\n  deploy:\n    runs-on: ${{ fromJson(inputs.runner_label_json) }}\n    needs: [ build-main, build-data-process, build-web, build-docs ]\n    steps:\n      - name: Checkout code\n        uses: actions/checkout@v4\n      - name: Copy project to $HOME/nexent\n        run: |\n          rm -rf $HOME/nexent\n          mkdir -p $HOME/nexent\n          cp -r $GITHUB_WORKSPACE/* $HOME/nexent/\n      - name: Force APP_VERSION to latest in deploy.sh (CI only)\n        run: |\n          sed -i 's/APP_VERSION=\"$(get_app_version)\"/APP_VERSION=\"${{ github.event.inputs.app_version }}\"/' $HOME/nexent/docker/deploy.sh\n      - name: Start docs container\n        run: |\n          docker stop nexent-docs 2>/dev/null || true\n          docker rm nexent-docs 2>/dev/null || true\n          docker run -d --name nexent-docs -p 4173:4173 nexent/nexent-docs\n      - name: Ensure deploy.sh is executable\n        run: chmod +x $HOME/nexent/docker/deploy.sh\n      - name: Deploy with deploy.sh\n        env:\n          DEPLOYMENT_MODE: ${{ github.event.inputs.deployment_mode }}\n        run: |\n          cd $HOME/nexent/docker\n          cp .env.example .env\n          \n          sed -i \"s/APPID=.*/APPID=${{ secrets.VOICE_APPID }}/\" .env\n          sed -i \"s/TOKEN=.*/TOKEN=${{ secrets.VOICE_TOKEN }}/\" .env\n          \n          if [ \"$DEPLOYMENT_MODE\" = \"production\" ]; then\n            ./deploy.sh --mode 3 --is-mainland N --enable-terminal N --version 2 --root-dir \"$HOME/nexent-production-data\"\n          else\n            ./deploy.sh --mode 1 --is-mainland N --enable-terminal N --version 2 --root-dir \"$HOME/nexent-development-data\"\n          fi"
  },
  {
    "path": ".github/workflows/sdk_publish.yml",
    "content": "name: Publish SDK to PyPI\n\non:\n  workflow_dispatch:\n    inputs:\n      version:\n        description: 'Version to publish (leave empty to use pyproject.toml version)'\n        required: false\n        type: string\n\njobs:\n  build-and-publish:\n    runs-on: ubuntu-latest\n    permissions:\n      id-token: write\n      contents: read\n    steps:\n      - name: Checkout code\n        uses: actions/checkout@v4\n\n      - name: Set up Python\n        uses: actions/setup-python@v5\n        with:\n          python-version: '3.10'\n\n      - name: Install build dependencies\n        run: |\n          python -m pip install --upgrade pip\n          pip install build\n\n      - name: Update version if specified\n        if: ${{ inputs.version != '' }}\n        working-directory: sdk\n        run: |\n          sed -i \"s/^version = .*/version = \\\"${{ inputs.version }}\\\"/\" pyproject.toml\n\n      - name: Build package\n        working-directory: sdk\n        run: python -m build\n\n      - name: Publish to PyPI\n        uses: pypa/gh-action-pypi-publish@release/v1\n        with:\n          packages-dir: sdk/dist/\n"
  },
  {
    "path": ".gitignore",
    "content": ".idea\n/.env\n.vscode\n\n*.DS_Store\n*.egg-info\n*.pyc\n\n__pycache__/\nsdk/build\nuploads/\n/sdk/nexent/core/nlp/baidu_stopwords.txt\n\ndocker/elasticsearch\ndocker/minio\ndocker/postgresql\ndocker/redis_data\ndocker/uploads\ndocker/openssh-server\ndocker/volumes/db/data\ndocker/.env\ndocker/.run\ndocker/deploy.options\n\nfrontend_standalone/\n.pnpm-store/\nfrontend-dist/\n\nmodel-assets/\n\n# Test coverage reports\n*coverage_html\n*.pytest_cache\n*.coverage\n*coverage.xml"
  },
  {
    "path": "AGENTS.md",
    "content": "# AGENTS\n\n<!-- Skills section removed -->\n\n<skills_system priority=\"1\">\n\n## Available Skills\n\n<!-- SKILLS_TABLE_START -->\n<usage>\nWhen users ask you to perform tasks, check if any of the available skills below can help complete the task more effectively. Skills provide specialized capabilities and domain knowledge.\n\nHow to use skills:\n- Invoke: `npx openskills read <skill-name>` (run in your shell)\n  - For multiple: `npx openskills read skill-one,skill-two`\n- The skill content will load with detailed instructions on how to complete the task\n- Base directory provided in output for resolving bundled resources (references/, scripts/, assets/)\n\nUsage notes:\n- Only use skills listed in <available_skills> below\n- Do not invoke a skill that is already loaded in your context\n- Each skill invocation is stateless\n</usage>\n\n<available_skills>\n\n<skill>\n<name>prompts-writing</name>\n<description>Create, refine, and optimize high-quality YAML prompts for AI assistants. Use when working with prompt templates, system prompts, agent prompts, or any prompt engineering tasks. Provides structure guidelines, template patterns, and quality standards for YAML-based prompts.</description>\n<location>project</location>\n</skill>\n\n<skill>\n<name>skill-creator</name>\n<description>Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.</description>\n<location>project</location>\n</skill>\n\n</available_skills>\n<!-- SKILLS_TABLE_END -->\n\n</skills_system>\n"
  },
  {
    "path": "AUTHORS",
    "content": "Nexent Team:\n\nTeam Manager / Product Manager:\nShuangrui Chen @Phinease\n\nSenior System Engineer:\nSimeng Bian @Simeng Bian\nTao Liu @liutao12138\n\nDevelopment Group Leader:\nJingyuan Li @ljy65535\n\nDeveloper:\nYichen Xia @Jasonxia007\nMingchen Wan @WMC001\nYu Lin @linsensen222\nWenqi Bai @Bavichi\nFeiyang Xiang @feixiangkong\n\nOperations Manager:\nChenxue Jia @Davina-jcx\n"
  },
  {
    "path": "CLAUDE.md",
    "content": "# Claude Code Rules\n\n## Code Quality Standards\n\n### English-Only Comments and Documentation\n- All comments and docstrings must be written in clear, concise English\n- Do not use non-English characters in comments (string literals may contain any language)\n- Use proper grammar and spelling; avoid ambiguous abbreviations\n- Apply to: docstrings, inline comments, TODO/FIXME/NOTE, header comments, configuration comments\n\n**Good:**\n```python\n# Initialize cache for 60 seconds\nself.cache_ttl = 60\n```\n\n**Bad:**\n```python\n# 初始化缓存 60 秒 - FORBIDDEN\n# データキャッシュ60秒 - FORBIDDEN\n```\n\n### Environment Variable Management\n- All environment variable access must go through `backend/consts/const.py`\n- No direct `os.getenv()` or `os.environ.get()` calls outside of `const.py`\n- SDK modules (`sdk/`) should never read environment variables directly - accept configuration via parameters\n- Services (`backend/services/`) read from `consts.const` and pass config to SDK\n- Apps (`backend/apps/`) read from `consts.const` and pass through to services/SDK\n\n**Good:**\n```python\n# backend/consts/const.py\nAPPID = os.getenv(\"APPID\", \"\")\nTOKEN = os.getenv(\"TOKEN\", \"\")\n\n# other modules\nfrom consts.const import APPID, TOKEN\n```\n\n**Bad:**\n```python\n# direct calls in other modules\nimport os\nappid = os.getenv(\"APPID\")\ntoken = os.environ.get(\"TOKEN\")\n```\n\n## Backend Architecture Rules\n\n### App Layer Rules (`backend/apps/**/*.py`)\n**Purpose:** HTTP boundary for the backend - parse/validate input, call services, map domain errors to HTTP\n\n**Responsibilities:**\n- Parse and validate HTTP inputs using Pydantic models\n- Call underlying services; do not implement core business logic\n- Translate domain/service exceptions into `HTTPException` with proper status codes\n- Return `JSONResponse(status_code=HTTPStatus.OK, content=payload)` on success\n\n**Routing and URL Design:**\n- Keep existing top-level prefixes for compatibility (e.g., `\"/agent\"`, `\"/memory\"`)\n- Use plural nouns for collection-style resources (e.g., `\"/agents\"`, `\"/memories\"`)\n- Use snake_case for all path segments\n- Path parameters must be singular, semantic nouns: `\"/agents/{agent_id}\"`\n\n**HTTP Methods:**\n- GET: Read and list operations only\n- POST: Create resources, perform searches, or trigger actions with side effects\n- DELETE: Delete resources or clear collections (ensure idempotency)\n- PUT/PATCH: Update resources\n\n**Authorization:**\n- Retrieve bearer token via header injection: `authorization: Optional[str] = Header(None)`\n- Use utility helpers from `utils.auth_utils` (e.g., `get_current_user_id`)\n\n**Exception Mapping:**\n- `UnauthorizedError` → 401 UNAUTHORIZED\n- `LimitExceededError` → 429 TOO_MANY_REQUESTS\n- Parameter/validation errors → 400 BAD_REQUEST or 406 NOT_ACCEPTABLE\n- Unexpected errors → 500 INTERNAL_SERVER_ERROR\n\n**Correct Example:**\n```python\nfrom http import HTTPStatus\nimport logging\nfrom fastapi import APIRouter, HTTPException\nfrom starlette.responses import JSONResponse\n\nfrom consts.exceptions import LimitExceededError, AgentRunException\nfrom services.agent_service import run_agent\n\nlogger = logging.getLogger(__name__)\nrouter = APIRouter()\n\n@router.post(\"/agent/run\")\ndef run_agent_endpoint(payload: dict):\n    try:\n        result = run_agent(payload)\n        return JSONResponse(status_code=HTTPStatus.OK, content=result)\n    except LimitExceededError as exc:\n        raise HTTPException(status_code=HTTPStatus.TOO_MANY_REQUESTS, detail=str(exc))\n    except AgentRunException as exc:\n        raise HTTPException(status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=str(exc))\n```\n\n### Service Layer Rules (`backend/services/**/*.py`)\n**Purpose:** Implement core business logic orchestration; coordinate repositories/SDKs\n\n**Requirements:**\n- Implement core business logic and orchestrate complex workflows\n- Raise domain/service exceptions from `backend/consts/exceptions.py`\n- No HTTP concerns (no HTTPException, JSONResponse, etc.)\n- No direct environment variable access (use `consts.const`)\n- Return plain Python objects, not HTTP responses\n\n**Available Exceptions:**\n- `AgentRunException`: When agent run fails\n- `LimitExceededError`: When outer platform calls too frequently  \n- `UnauthorizedError`: When user from outer platform is unauthorized\n- `SignatureValidationError`: When X-Signature header validation fails\n- `MemoryPreparationException`: When memory preprocessing/retrieval fails\n\n**Correct Example:**\n```python\nfrom typing import Any, Dict\nfrom consts.exceptions import LimitExceededError, AgentRunException, MemoryPreparationException\n\ndef run_agent(task_payload: Dict[str, Any]) -> Dict[str, Any]:\n    \"\"\"Run agent core workflow and return domain result dict.\"\"\"\n    if _is_rate_limited(task_payload):\n        raise LimitExceededError(\"Too many requests for this tenant.\")\n\n    try:\n        memory = _prepare_memory(task_payload)\n    except Exception as exc:\n        raise MemoryPreparationException(\"Failed to prepare memory.\") from exc\n\n    try:\n        result = _execute_core_logic(task_payload, memory)\n    except Exception as exc:\n        raise AgentRunException(\"Agent execution failed.\") from exc\n\n    return {\"status\": \"ok\", \"data\": result}\n```\n\n## Migration Checklist\n\n### Environment Variables\n1. Add new vars to `backend/consts/const.py`\n2. Update `.env.example`\n3. Remove all direct `os.getenv()`/`os.environ.get()` outside `const.py`\n4. Import from `consts.const` in backend modules\n5. Pass configuration as parameters to SDK\n6. Remove `from_env()` methods from config classes\n\n### Code Quality\n1. Convert all non-English comments to English\n2. Ensure docstrings use proper English grammar\n3. Add module-level loggers: `logger = logging.getLogger(__name__)`\n4. Follow existing async/sync conventions in each module\n\n## File Structure\n\n```\nbackend/\n├── apps/           # HTTP API layer (FastAPI endpoints)\n├── services/       # Business logic orchestration\n├── consts/\n│   ├── const.py   # Single source of truth for env vars\n│   └── exceptions.py # Domain exceptions\n└── utils/\n    └── auth_utils.py # Authentication utilities\n\nsdk/               # Pure configuration-based, no env vars\n```\n\n## Validation Rules\n\n- No direct env access outside `const.py`\n- No `from_env()` in config classes\n- All env vars defined in `const.py`\n- SDK modules accept configuration via parameters\n- All comments in English\n- Service layer raises domain exceptions only\n- App layer maps domain exceptions to HTTP status codes\n- Use structured logging with module-level loggers"
  },
  {
    "path": "CODE_OF_CONDUCT.md",
    "content": "\n# Contributor Covenant Code of Conduct\n\n## Our Pledge\n\nWe as members, contributors, and leaders pledge to make participation in our\ncommunity a harassment-free experience for everyone, regardless of age, body\nsize, visible or invisible disability, ethnicity, sex characteristics, gender\nidentity and expression, level of experience, education, socio-economic status,\nnationality, personal appearance, race, caste, color, religion, or sexual\nidentity and orientation.\n\nWe pledge to act and interact in ways that contribute to an open, welcoming,\ndiverse, inclusive, and healthy community.\n\n## Our Standards\n\nExamples of behavior that contributes to a positive environment for our\ncommunity include:\n\n* Demonstrating empathy and kindness toward other people\n* Being respectful of differing opinions, viewpoints, and experiences\n* Giving and gracefully accepting constructive feedback\n* Accepting responsibility and apologizing to those affected by our mistakes,\n  and learning from the experience\n* Focusing on what is best not just for us as individuals, but for the overall\n  community\n\nExamples of unacceptable behavior include:\n\n* The use of sexualized language or imagery, and sexual attention or advances of\n  any kind\n* Trolling, insulting or derogatory comments, and personal or political attacks\n* Public or private harassment\n* Publishing others' private information, such as a physical or email address,\n  without their explicit permission\n* Other conduct which could reasonably be considered inappropriate in a\n  professional setting\n\n## Enforcement Responsibilities\n\nCommunity leaders are responsible for clarifying and enforcing our standards of\nacceptable behavior and will take appropriate and fair corrective action in\nresponse to any behavior that they deem inappropriate, threatening, offensive,\nor harmful.\n\nCommunity leaders have the right and responsibility to remove, edit, or reject\ncomments, commits, code, wiki edits, issues, and other contributions that are\nnot aligned to this Code of Conduct, and will communicate reasons for moderation\ndecisions when appropriate.\n\n## Scope\n\nThis Code of Conduct applies within all community spaces, and also applies when\nan individual is officially representing the community in public spaces.\nExamples of representing our community include using an official email address,\nposting via an official social media account, or acting as an appointed\nrepresentative at an online or offline event.\n\n## Enforcement\n\nInstances of abusive, harassing, or otherwise unacceptable behavior may be\nreported to the community leaders responsible for enforcement at\n[wanmingchen1@huawei.com].\nAll complaints will be reviewed and investigated promptly and fairly.\n\nAll community leaders are obligated to respect the privacy and security of the\nreporter of any incident.\n\n## Enforcement Guidelines\n\nCommunity leaders will follow these Community Impact Guidelines in determining\nthe consequences for any action they deem in violation of this Code of Conduct:\n\n### 1. Correction\n\n**Community Impact**: Use of inappropriate language or other behavior deemed\nunprofessional or unwelcome in the community.\n\n**Consequence**: A private, written warning from community leaders, providing\nclarity around the nature of the violation and an explanation of why the\nbehavior was inappropriate. A public apology may be requested.\n\n### 2. Warning\n\n**Community Impact**: A violation through a single incident or series of\nactions.\n\n**Consequence**: A warning with consequences for continued behavior. No\ninteraction with the people involved, including unsolicited interaction with\nthose enforcing the Code of Conduct, for a specified period of time. This\nincludes avoiding interactions in community spaces as well as external channels\nlike social media. Violating these terms may lead to a temporary or permanent\nban.\n\n### 3. Temporary Ban\n\n**Community Impact**: A serious violation of community standards, including\nsustained inappropriate behavior.\n\n**Consequence**: A temporary ban from any sort of interaction or public\ncommunication with the community for a specified period of time. No public or\nprivate interaction with the people involved, including unsolicited interaction\nwith those enforcing the Code of Conduct, is allowed during this period.\nViolating these terms may lead to a permanent ban.\n\n### 4. Permanent Ban\n\n**Community Impact**: Demonstrating a pattern of violation of community\nstandards, including sustained inappropriate behavior, harassment of an\nindividual, or aggression toward or disparagement of classes of individuals.\n\n**Consequence**: A permanent ban from any sort of public interaction within the\ncommunity.\n\n## Attribution\n\nThis Code of Conduct is adapted from the [Contributor Covenant][homepage],\nversion 2.1, available at\n[https://www.contributor-covenant.org/version/2/1/code_of_conduct.html][v2.1].\n\nCommunity Impact Guidelines were inspired by\n[Mozilla's code of conduct enforcement ladder][Mozilla CoC].\n\nFor answers to common questions about this code of conduct, see the FAQ at\n[https://www.contributor-covenant.org/faq][FAQ]. Translations are available at\n[https://www.contributor-covenant.org/translations][translations].\n\n[homepage]: https://www.contributor-covenant.org\n[v2.1]: https://www.contributor-covenant.org/version/2/1/code_of_conduct.html\n[Mozilla CoC]: https://github.com/mozilla/diversity\n[FAQ]: https://www.contributor-covenant.org/faq\n[translations]: https://www.contributor-covenant.org/translations\n"
  },
  {
    "path": "CONTRIBUTING.md",
    "content": "# Nexent Contributing Guide ✨\n\nThank you for considering contributing to Nexent! From code to docs to sharing your experience, every bit helps make Nexent better for everyone. It also helps us if you share Nexent with others, or simply ⭐️ the repo. Thanks a million! 💛 Let's build something amazing together! 🎉\n\nIn terms of licensing, please take a minute to read our short [License and Contributor Agreement](https://modelengine-group.github.io/nexent/en/license). The community also adheres to the [code of conduct](https://modelengine-group.github.io/nexent/en/code-of-conduct).\n\n## 🤔 How You Can Contribute\n\n### 🐛 Found a Bug?\n\nIf you've discovered a bug, please let us know! Your keen eye helps us improve Nexent for all users.\n\n### 💡 Have a Feature Idea?\n\nGot a brilliant idea to enhance Nexent? We'd love to hear it! Share your vision with us.\n\n### 💻 Want to Submit Code?\n\nWhether it's fixing a bug or adding a new feature, your code contributions are highly valued.\n\n### 📖 Want to Improve Documentation?\n\nGreat documentation is key to a great project. Help us make Nexent easier to use and understand.\n\n## 🌳 Branching Strategy GitFlow\n\n![GitFlow 工作流](assets/git-flow.svg)\n\nGitflow is a branching model for Git that provides a structured approach to software development. It defines specific branches for different purposes, like features, releases, and hotfixes, and outlines how they should interact. This helps streamline the development process, manage releases effectively, and facilitate collaboration.\n\n### Main Branches\n- **main**: Represents the official release history and should always be deployable.\n- **develop**: The main branch for ongoing development. It integrates new features and bug fixes from feature branches.\n\n### Supporting Branches\n- **feature branches**: Used for developing new features. They branch off from develop and are merged back into it once the feature is complete.\n- **release branches**: Created when a new release is about to be prepared. They allow for final testing and minor adjustments before merging into main and develop.\n- **hotfix branches**: Used for fixing critical bugs in production. They branch off from main and are merged back into both main and develop.\n\n### Benefits of Gitflow\n- **Structured workflow**: Provides a clear and consistent process for managing different types of changes.\n- **Improved collaboration**: Facilitates teamwork by defining clear roles for branches and how they should interact.\n- **Efficient releases**: Streamlines the release process by isolating changes in dedicated branches and allowing for final testing.\n- **Reduced conflicts**: By using feature branches and release branches, it helps minimize merge conflicts and makes it easier to resolve them.\n\nFor a visual overview, see the diagram above.\n\n## 🐞 Submitting a Bug Report or Feature Request\n\n### Bug Reports\nTo help us quickly understand and fix the issue, please include:\n- A **clear title** describing the bug.\n- A **detailed description** of the issue, including steps to reproduce it.\n- Any **error messages** or logs (if applicable).\n- Expected behavior vs. actual behavior.\n- Screenshots or screen recordings (if helpful).\n\n### Feature Requests\nFor feature ideas, please provide:\n- A **clear title** summarizing the feature.\n- A **detailed description** of the feature and its benefits.\n- Any relevant **use cases** or examples.\n- Screenshots or mockups (if applicable).\n\n**Where to submit?**  \nOpen a new issue in our [GitHub Issues](https://github.com/ModelEngine-Group/nexent/issues) section and select the appropriate template (Bug Report or Feature Request).\n\n## 💻 Submitting Code Changes\n\n### Step 1 Fork the Repository\n🍴 Fork the [Nexent repository](https://github.com/ModelEngine-Group/nexent) to your GitHub account.\n\n### Step 2 Clone Your Fork\n📦 Clone your forked repository locally:\n```bash\ngit clone https://github.com/ModelEngine-Group/nexent.git\n```\n\n### Step 3 Create a Branch\n🌿 Create a new branch for your changes:\n```bash\ngit checkout -b your-branch-name\n```\n\n### Step 4 Make Your Changes\n🧙‍♂️ Code like a wizard! Follow our [Development Guide](https://modelengine-group.github.io/nexent/en/getting-started/development-guide) for setup instructions and coding standards. Ensure your changes are well-tested and documented.\n\n### Step 5 Commit Your Changes\n📝 Commit with a clear and concise message following our commit message guidelines：\n\n| Type      | Icon | Description |\n|-----------|------|-------------|\n| Refactor  | ♻️ | Code logic optimization without affecting functionality |\n| Migration | 🚚 | Moving or migrating files or modules |\n| Feature   | ✨ | Adding new features or functionality |\n| Bugfix    | 🐛 | Fixing issues or bugs |\n| Style     | 🎨 | Improving code style, formatting without changing functionality |\n| Chore     | 🔨 | Updating tools, adjusting configurations |\n| Docs      | 📝 | Documentation changes only |\n| Test      | 🧪 | Add test cases or modify test cases   |\n\nExample commit message：\n```bash\ngit commit -m \"✨ add user authentication\"\ngit commit -m \"🐛 resolve login timeout issue\"\ngit commit -m \"📝 update API documentation\"\n```\n\n### Step 6 Sync with Upstream\n⚙️ Keep your fork updated with the latest changes from the main repository:\n```bash\ngit remote add upstream https://github.com/ModelEngine-Group/nexent.git\ngit fetch upstream\ngit merge upstream/main\n```\n\n### Step 7 Open a Pull Request (PR)\n🚀 Push your changes to your fork and open a PR in the main repository. Include:\n- A **clear title** and **description** of your changes.\n- A reference to the related issue (e.g., `fixes #123`).\n- Any additional context or screenshots.\n\nOur team will review your PR and provide feedback. Collaboration makes the magic happen! ✨\n\n### Protected Branches and Code Owner Reviews\n\nWhen submitting changes to protected branches (like `main`), please note the following requirements：\n\n1. **Code Owner Review Required**\n   - The PR will automatically request reviews from relevant code owners\n   - You cannot approve your own PR\n   - Code owner approval is mandatory\n\n2. **Multiple Approvals Required**\n   - At least 2 approvals are required (including code owner approval)\n   - All CI checks must pass (lint, test, build, etc.)\n\n3. **Merge Process**\n   - After submitting the PR, the system will automatically request code owner reviews\n   - At least two approvals (including code owner) are needed\n   - The \"Merge\" button will only become available after all requirements are met\n\n4. **Restrictions**\n   - You cannot bypass reviews or force merge\n   - Direct pushes to protected branches are not allowed\n   - Self-approvals are not valid\n\n## 📖 Improving Documentation\n\nGreat documentation is a team effort! You can help by：\n- Fixing typos or clarifying unclear sections.\n- Adding missing documentation for features or setup steps.\n- Translating docs into other languages.\n\nTo contribute：\n1. Follow the same steps as for code changes (fork, clone, branch, etc.).\n2. Edit the relevant documentation files (e.g., `README.md`, `docs/`).\n3. Submit a PR with your improvements.\n\n## ❓ Need Help?\n\nStuck or have questions? We're here to help! Reach out to us via：\n- **GitHub Issues**: Open an issue for discussion.\n- **Discord**: Join our [Nexent Community](https://discord.gg/YXH5C8SQ) for real-time chat.\n- **Email**: Drop us a line at [wanmingchen1@huawei.com](mailto:wanmingchen1@huawei.com).\n\n## 🎉 Celebrate Your Contribution!\n\nThank you for being part of the Nexent journey. Your contributions make a real difference, and we can't wait to see what you create! Happy coding! 🚀🌈"
  },
  {
    "path": "LICENSE",
    "content": "# Nexent Open Source License\n\nNexent is licensed under the MIT License, with the following additional conditions:\n\nNexent is permitted to be used commercially, including as a backend service for other applications or as an application development platform for enterprises. However, when the following conditions are met, you must contact the producer to obtain a commercial license:\n\na. Multi-tenant SaaS service: Unless explicitly authorized by Nexent in writing, you may not use the Nexent source code to operate a multi-tenant SaaS service.\nb. LOGO and copyright information: In the process of using Nexent's frontend, you may not remove or modify the LOGO or copyright information in the Nexent console or applications. This restriction is inapplicable to uses of Nexent that do not involve its frontend.\n\nPlease contact zhenggaoqi@huawei.com by email to inquire about licensing matters.\n\nAs a contributor, you should agree that:\n\na. The producer can adjust the open-source agreement to be more strict or relaxed as deemed necessary.\nb. Your contributed code may be used for commercial purposes, such as Nexent's cloud business.\n\nApart from the specific conditions mentioned above, all other rights and restrictions follow the MIT License.\nDetailed information about the MIT License can be found at: https://opensource.org/licenses/MIT\n\nCopyright © 2025 Huawei Technologies Co., Ltd.\n"
  },
  {
    "path": "NOTICE",
    "content": "# Nexent Open Source Project\n\nCopyright © 2025 Huawei Technologies Co., Ltd.\n\nThis product includes software developed by the Nexent Team.\n\n=== Third-Party Components ===\nThis software contains the following open-source components:\n\n1. Unstructured.io - Apache License 2.0\n   Source: https://github.com/Unstructured-IO/unstructured\n\n2. SmolAgents - Apache License 2.0  \n   Source: https://github.com/huggingface/smolagents\n\n3. Ray - Apache License 2.0\n   Source: https://github.com/ray-project/ray"
  },
  {
    "path": "README.md",
    "content": "![Nexent Banner](./assets/NexentBanner.png)\n\n[![Website](https://img.shields.io/badge/Website-blue?logo=icloud&logoColor=white)](https://nexent.tech)\n[![English](https://img.shields.io/badge/English-README-blue?logo=github)](README.md)\n[![中文](https://img.shields.io/badge/中文-README-green?logo=github)](README_CN.md)\n[![Documentation](https://img.shields.io/badge/Documentation-CN/EN-red?logo=googledocs&logoColor=%23ECD53F)](https://modelengine-group.github.io/nexent)\n[![Docker Pulls](https://img.shields.io/docker/pulls/nexent/nexent?logo=docker&label=DockerPull)](https://hub.docker.com/repositories/nexent)\n[![Codecov (with branch)](https://img.shields.io/codecov/c/github/ModelEngine-Group/nexent/develop?logo=codecov&color=green)](https://codecov.io/gh/ModelEngine-Group/nexent)\n\nNexent is a zero-code platform for auto-generating agents — no orchestration, no complex drag-and-drop required, using pure language to develop any agent you want. Built on the MCP ecosystem with rich tool integration, Nexent also provides various built-in agents to meet your intelligent service needs in different scenarios such as work, travel, and daily life. Nexent offers powerful capabilities for agent running control, multi-agent collaboration, data processing and knowledge tracing, multimodal dialogue, and batch scaling.\n\n> One prompt. Endless reach.\n\n### 🌐 Visit our [official website](https://nexent.tech/)\n\n![Nexent Banner](./assets/architecture_en.png)\n\nhttps://github.com/user-attachments/assets/db6b7f5a-9ee8-4327-ae6f-c5af896126b4\n\n# ⚡ Have a try first\n\n### 📋 Prerequisites  \n\n| Resource | Minimum |\n|----------|---------|\n| **CPU**  | 2 cores |\n| **RAM**  | 6 GiB   |\n| **Software** | Docker & Docker Compose installed |\n\n### 🛠️ Quick start with Docker Compose\n\n```bash\ngit clone https://github.com/ModelEngine-Group/nexent.git\ncd nexent/docker\ncp .env.example .env # fill only necessary configs\nbash deploy.sh\n```\n\nWhen the containers are running, open **http://localhost:3000** in your browser and follow the setup wizard.\n\n# 🤝 Join Our Community\n\n> *If you want to go fast, go alone; if you want to go far, go together.*\n\nWe have released **Nexent v1**, and the platform is now relatively stable. However, there may still be some bugs, and we are continuously improving and adding new features. Stay tuned: we will announce **v2.0** soon!\n\n* **🗺️ Check our [Feature Map](https://github.com/orgs/ModelEngine-Group/projects/6)** to explore current and upcoming features.\n* **🔍 Try the current build** and leave ideas or bugs in the [Issues](https://github.com/ModelEngine-Group/nexent/issues) tab.\n* **🐛 Check our [Known Issues page](https://github.com/orgs/ModelEngine-Group/projects/9)** for the latest issue status and solutions.\n\n> *Rome wasn't built in a day.*\n\nIf our vision speaks to you, jump in via the **[Contribution Guide](https://modelengine-group.github.io/nexent/en/contributing)** and shape Nexent with us.\n\nEarly contributors won't go unnoticed: from special badges and swag to other tangible rewards, we're committed to thanking the pioneers who help bring Nexent to life.\n\nMost of all, we need visibility. Star ⭐ and watch the repo, share it with friends, and help more developers discover Nexent — your click brings new hands to the project and keeps the momentum growing.\n\n## 💬 Community & contact\n\n- Browse the [Documentation](https://modelengine-group.github.io/nexent) for more information.  \n- Join our [Discord community](https://discord.gg/tb5H3S3wyv) to chat with other developers and get help!\n- Conntact us by Wechat, find our QR Code in our [website](https://nexent.tech/en/contact)\n\n# ✨ Key Features\n\n`1` **Smart agent prompt generation**  \n   Turn plain language into runnable prompts. Nexent automatically chooses the right tools and plans the best action path for every request.\n\n   ![Feature 1](./assets/Feature1.png)\n\n`2` **Scalable data process engine**  \n   Process 20+ data formats with fast OCR and table structure extraction, scaling smoothly from a single process to large-batch pipelines.\n\n   ![Feature 2](./assets/Feature2.png)\n\n`3` **Personal-grade knowledge base**  \n   Import files in real time, auto-summarise them, and let agents access both personal and global knowledge instantly, also knowing what it can get from each knowledge base.\n\n   ![Feature 3](./assets/Feature3.png)\n\n`4` **Internet knowledge search**  \n   Connect to 5+ web search providers so agents can mix fresh internet facts with your private data.\n\n   ![Feature 4](./assets/Feature4.png)\n\n`5` **Knowledge-level traceability**  \n   Serve answers with precise citations from web and knowledge-base sources, making every fact verifiable.\n\n   ![Feature 5](./assets/Feature5.png)\n\n`6` **Multimodal understanding & dialogue**  \n   Speak, type, files, or show images. Nexent understands voice, text, and pictures, and can even generate new images on demand.\n\n   ![Feature 6](./assets/Feature6.png)\n\n`7` **MCP tool ecosystem**  \n   Drop in or build Python plug-ins that follow the MCP spec; swap models, tools, and chains without touching core code.\n\n   ![Feature 7](./assets/Feature7.png)\n\n# 🌱 MCP Tool Ecosystem\n\nCheck our [MCP Ecosystem page](https://modelengine-group.github.io/nexent/en/mcp-ecosystem/overview.html) for detailed information about the MCP tool ecosystem, including community hubs, recommended tools, and integration guides.\n\n# 🛠️ Developer Guide\n\n### 🤖 Model Configuration & Provider Recommendations\n\nCheck our [Model Providers page](https://modelengine-group.github.io/nexent/en/getting-started/model-providers.html) for detailed model configuration guides and recommended provider information.\n\n### 🔧 Hack on Nexent\n\nWant to build from source or add new features? Check the [Contribution Guide](https://modelengine-group.github.io/nexent/en/contributing) for step-by-step instructions.\n\n### 🛠️ Build from Source\n\nPrefer to run Nexent from source code? Follow our [Developer Guide](https://modelengine-group.github.io/nexent/en/getting-started/development-guide) for detailed setup instructions and customization options.\n\n# 📄 License\n\nNexent is licensed under the [MIT](LICENSE) with additional conditions. Please read the [LICENSE](LICENSE) file for details.\n\n"
  },
  {
    "path": "README_CN.md",
    "content": "![Nexent Banner](./assets/NexentBanner.png)\n\n[![Website](https://img.shields.io/badge/Website-blue?logo=icloud&logoColor=white)](https://nexent.tech)\n[![English](https://img.shields.io/badge/English-README-blue?logo=github)](README.md)\n[![中文](https://img.shields.io/badge/中文-README-green?logo=github)](README_CN.md)\n[![Documentation](https://img.shields.io/badge/Documentation-CN/EN-red?logo=googledocs&logoColor=%23ECD53F)](https://modelengine-group.github.io/nexent)\n[![Docker Pulls](https://img.shields.io/docker/pulls/nexent/nexent?logo=docker&label=DockerPull)](https://hub.docker.com/repositories/nexent)\n[![Codecov (with branch)](https://img.shields.io/codecov/c/github/ModelEngine-Group/nexent/develop?logo=codecov&color=green)](https://codecov.io/gh/ModelEngine-Group/nexent)\n\nNexent 是一个零代码智能体自动生成平台 —— 无需编排，无需复杂的拖拉拽操作，使用纯语言开发你想要的任何智能体。基于MCP生态，具备丰富的工具集成，同时提供多种自带智能体，满足你的工作、旅行、生活等不同场景的智能服务需要。Nexent 还提供强大的智能体运行控制、多智能体协作、数据处理和知识溯源、多模态对话、批量扩展能力。\n\n> 一个提示词，无限种可能。\n\n### 🌐 访问我们的[官方网站](https://nexent.tech/)\n\n![Nexent Banner](./assets/architecture_zh.png)\n\nhttps://github.com/user-attachments/assets/b844e05d-5277-4509-9463-1c5b3516f11e\n\n# ⚡ 先来试试看\n\n### 📋 系统要求  \n\n| 资源 | 最低要求 |\n|----------|---------|\n| **CPU**  | 2 核 |\n| **内存**  | 6 GiB   |\n| **软件** | 已安装 Docker 和 Docker Compose |\n\n### 🛠️ 使用 Docker Compose 快速开始\n\n```bash\ngit clone https://github.com/ModelEngine-Group/nexent.git\ncd nexent/docker\ncp .env.example .env # fill only necessary configs\nbash deploy.sh\n```\n\n当容器运行后，在浏览器中打开 **http://localhost:3000** 并按照设置向导操作。\n\n# 🤝 加入我们的社区\n\n> *If you want to go fast, go alone; if you want to go far, go together.*\n\n我们已经发布了 **Nexent v1**，平台现在相对稳定。但是，可能仍然存在一些 bug，我们正在持续改进并添加新功能。敬请期待：我们很快将宣布 **v2.0**！\n\n* **🗺️ 查看我们的 [功能地图](https://github.com/orgs/ModelEngine-Group/projects/6)** 探索当前和即将推出的功能。\n* **🔍 试用当前版本** 并在 [问题反馈](https://github.com/ModelEngine-Group/nexent/issues) 中留下想法或报告错误。\n* **🐛 查看我们的[已知问题页面](https://github.com/orgs/ModelEngine-Group/projects/9)** 了解最新的问题状态和解决方案。\n\n> *Rome wasn't built in a day.*\n\n如果我们的愿景与您产生共鸣，请通过 **[贡献指南](https://modelengine-group.github.io/nexent/zh/contributing)** 加入我们，共同塑造 Nexent。\n\n早期贡献者不会被忽视：从特殊徽章和纪念品到其他实质性奖励，我们致力于感谢那些帮助 Nexent 诞生的先驱者。\n\n最重要的是，我们需要关注度。请为仓库点星 ⭐ 并关注，与朋友分享，帮助更多开发者发现 Nexent —— 您的每一次点击都能为项目带来新的参与者，保持发展势头。\n\n## 💬 社区与联系方式\n\n- 浏览 [文档](https://modelengine-group.github.io/nexent) 了解更多信息。  \n- 加入我们的 [Discord 社区](https://discord.gg/tb5H3S3wyv) 与其他开发者交流并获取帮助！\n- 通过微信联系我们，在我们的[网站](https://nexent.tech/zh/contact)找到二维码\n\n# ✨ 主要特性\n\n`1` **智能体提示词自动生成**  \n   将自然语言转化为可被Agent执行的提示词。Nexent可以根据你的需要自动选择正确的工具并为每个请求规划最佳执行路径。\n\n   ![Feature 1](./assets/Feature1.png)\n\n`2` **可扩展数据处理引擎**  \n   支持 20+ 数据格式的快速 OCR 和表格结构提取，从单进程到大规模批处理管道都能平滑扩展。\n\n   ![Feature 2](./assets/Feature2.png)\n\n`3` **个人级知识库**  \n   实时导入文件，自动总结，让智能体能够即时访问个人和全局知识，并了解每个知识库能提供什么。\n\n   ![Feature 3](./assets/Feature3.png)\n\n`4` **互联网知识搜索**  \n   连接 5+ 个网络搜索提供商，让智能体能够将最新的互联网信息与您的私有数据结合。\n\n   ![Feature 4](./assets/Feature4.png)\n\n`5` **知识级可追溯性**  \n   提供来自网络和知识库来源的精确引用，使每个事实都可验证。\n\n   ![Feature 5](./assets/Feature5.png)\n\n`6` **多模态理解与对话**  \n   说话、打字、文件或展示图片。Nexent 理解语音、文本和图片，甚至可以根据需求生成新图像。\n\n   ![Feature 6](./assets/Feature6.png)\n\n`7` **MCP 工具生态系统**  \n   插入或构建符合 MCP 规范的 Python 插件；无需修改核心代码即可更换模型、工具和链。\n\n   ![Feature 7](./assets/Feature7.png)\n\n# 🌱 MCP 工具生态\n\n查看我们的[MCP 生态系统页面](https://modelengine-group.github.io/nexent/zh/mcp-ecosystem/overview.html)了解 MCP 工具生态系统的详细信息，包括社区中心、推荐工具和集成指南。\n\n# 🛠️ 开发者指南\n\n### 🤖 模型配置与模型提供商推荐\n\n查看我们的[模型提供商页面](https://modelengine-group.github.io/nexent/zh/getting-started/model-providers.html)了解详细的模型配置指南和推荐的提供商信息。\n\n### 🔧 开发 Nexent\n\n想要从源代码构建或添加新功能？查看 [贡献指南](https://modelengine-group.github.io/nexent/zh/contributing) 获取分步说明。\n\n### 🛠️ 从源码构建\n\n想要从源码运行 Nexent？查看我们的[开发者指南](https://modelengine-group.github.io/nexent/zh/getting-started/development-guide)获取详细的设置说明和自定义选项。\n\n# 📄 许可证\n\nNexent 采用 [MIT](LICENSE) 许可证，并附有额外条件。请阅读 [LICENSE](LICENSE) 文件了解详情。\n"
  },
  {
    "path": "SECURITY.md",
    "content": "# Security Policy\n\n**Please do not report security vulnerabilities through public GitHub issues, discussions, or other public channels.**\n\nInstead, please disclose them responsibly by contacting our security team at:  \n📧 [chenshuangrui@gmail.com](mailto:chenshuangrui@gmail.com) \n\n## What to Include:\n- Detailed description of the vulnerability\n- Steps to reproduce\n- Potential impact assessment\n- Suggested fixes or mitigations (if known)\n\n## Our Response Process:\n- Acknowledgement within **48 hours**\n- Initial assessment within **5 business days**\n- Regular updates on remediation progress\n- Public disclosure timeline coordinated with reporter\n\n## Security Updates\nCritical security patches are released as soon as they're available. All security-related updates will be marked with **[SECURITY]** in release notes.\n\n## Recognition\nWhile we don't currently have a formal bug bounty program, we gratefully acknowledge responsible disclosures by:\n- Listing contributors in our Security Hall of Fame\n- Providing written recommendations (upon request)\n- Public thank-you in release notes (with permission)\n\n**Note:** This policy may be updated periodically. Last revised: {05 2025}\n"
  },
  {
    "path": "backend/.gitignore",
    "content": ".venv/\n.uv/\n\nflower_db.sqlite.db\nuv.lock\n.env"
  },
  {
    "path": "backend/__init__.py",
    "content": ""
  },
  {
    "path": "backend/agents/agent_run_manager.py",
    "content": "import logging\nimport threading\nfrom typing import Dict\n\nfrom nexent.core.agents.agent_model import AgentRunInfo\n\nlogger = logging.getLogger(\"agent_run_manager\")\n\n\nclass AgentRunManager:\n    _instance = None\n    _lock = threading.Lock()\n\n    def __new__(cls):\n        if cls._instance is None:\n            with cls._lock:\n                if cls._instance is None:\n                    cls._instance = super(AgentRunManager, cls).__new__(cls)\n                    cls._instance._initialized = False\n        return cls._instance\n\n    def __init__(self):\n        if not self._initialized:\n            # user_id:conversation_id -> agent_run_info\n            self.agent_runs: Dict[str, AgentRunInfo] = {}\n            self._initialized = True\n\n    def _get_run_key(self, conversation_id: int, user_id: str) -> str:\n        \"\"\"Generate unique key for agent run using user_id and conversation_id\"\"\"\n        return f\"{user_id}:{conversation_id}\"\n\n    def register_agent_run(self, conversation_id: int, agent_run_info, user_id: str):\n        \"\"\"register agent run instance\"\"\"\n        with self._lock:\n            run_key = self._get_run_key(conversation_id, user_id)\n            self.agent_runs[run_key] = agent_run_info\n            logger.info(\n                f\"register agent run instance, user_id: {user_id}, conversation_id: {conversation_id}\")\n\n    def unregister_agent_run(self, conversation_id: int, user_id: str):\n        \"\"\"unregister agent run instance\"\"\"\n        with self._lock:\n            run_key = self._get_run_key(conversation_id, user_id)\n            if run_key in self.agent_runs:\n                del self.agent_runs[run_key]\n                logger.info(\n                    f\"unregister agent run instance, user_id: {user_id}, conversation_id: {conversation_id}\")\n            else:\n                logger.info(\n                    f\"no agent run instance found for user_id: {user_id}, conversation_id: {conversation_id}\")\n\n    def get_agent_run_info(self, conversation_id: int, user_id: str):\n        \"\"\"get agent run instance\"\"\"\n        run_key = self._get_run_key(conversation_id, user_id)\n        return self.agent_runs.get(run_key)\n\n    def stop_agent_run(self, conversation_id: int, user_id: str) -> bool:\n        \"\"\"stop agent run for specified conversation_id and user_id\"\"\"\n        agent_run_info = self.get_agent_run_info(conversation_id, user_id)\n        if agent_run_info is not None:\n            agent_run_info.stop_event.set()\n            logger.info(\n                f\"agent run stopped, user_id: {user_id}, conversation_id: {conversation_id}\")\n            return True\n        return False\n\n\n# create singleton instance\nagent_run_manager = AgentRunManager()\n"
  },
  {
    "path": "backend/agents/create_agent_info.py",
    "content": "import threading\nimport logging\nfrom urllib.parse import urljoin\nfrom datetime import datetime\n\nfrom jinja2 import Template, StrictUndefined\nfrom smolagents.utils import BASE_BUILTIN_MODULES\nfrom nexent.core.utils.observer import MessageObserver\nfrom nexent.core.agents.agent_model import AgentRunInfo, ModelConfig, AgentConfig, ToolConfig\nfrom nexent.memory.memory_service import search_memory_in_levels\n\nfrom services.file_management_service import get_llm_model\nfrom services.vectordatabase_service import (\n    ElasticSearchService,\n    get_vector_db_core,\n    get_embedding_model,\n)\nfrom services.remote_mcp_service import get_remote_mcp_server_list\nfrom services.memory_config_service import build_memory_context\nfrom services.image_service import get_vlm_model\nfrom database.agent_db import search_agent_info_by_agent_id, query_sub_agents_id_list\nfrom database.agent_version_db import query_current_version_no\nfrom database.tool_db import search_tools_for_sub_agent\nfrom database.model_management_db import get_model_records, get_model_by_model_id\nfrom database.client import minio_client\nfrom utils.model_name_utils import add_repo_to_name\nfrom utils.prompt_template_utils import get_agent_prompt_template\nfrom utils.config_utils import tenant_config_manager, get_model_name_from_config\nfrom consts.const import LOCAL_MCP_SERVER, MODEL_CONFIG_MAPPING, LANGUAGE, DATA_PROCESS_SERVICE\n\nlogger = logging.getLogger(\"create_agent_info\")\nlogger.setLevel(logging.DEBUG)\n\n\nasync def create_model_config_list(tenant_id):\n    records = get_model_records({\"model_type\": \"llm\"}, tenant_id)\n    model_list = []\n    for record in records:\n        model_list.append(\n            ModelConfig(cite_name=record[\"display_name\"],\n                        api_key=record.get(\"api_key\", \"\"),\n                        model_name=add_repo_to_name(\n                                model_repo=record[\"model_repo\"],\n                                model_name=record[\"model_name\"],\n                            ),\n                        url=record[\"base_url\"],\n                        ssl_verify=record.get(\"ssl_verify\", True),\n                        model_factory=record.get(\"model_factory\")))\n    # fit for old version, main_model and sub_model use default model\n    main_model_config = tenant_config_manager.get_model_config(\n        key=MODEL_CONFIG_MAPPING[\"llm\"], tenant_id=tenant_id)\n    model_list.append(\n        ModelConfig(cite_name=\"main_model\",\n                    api_key=main_model_config.get(\"api_key\", \"\"),\n                    model_name=get_model_name_from_config(main_model_config) if main_model_config.get(\n                        \"model_name\") else \"\",\n                    url=main_model_config.get(\"base_url\", \"\"),\n                    ssl_verify=main_model_config.get(\"ssl_verify\", True),\n                    model_factory=main_model_config.get(\"model_factory\")))\n    model_list.append(\n        ModelConfig(cite_name=\"sub_model\",\n                    api_key=main_model_config.get(\"api_key\", \"\"),\n                    model_name=get_model_name_from_config(main_model_config) if main_model_config.get(\n                        \"model_name\") else \"\",\n                    url=main_model_config.get(\"base_url\", \"\"),\n                    ssl_verify=main_model_config.get(\"ssl_verify\", True),\n                    model_factory=main_model_config.get(\"model_factory\")))\n\n    return model_list\n\n\nasync def create_agent_config(\n    agent_id,\n    tenant_id,\n    user_id,\n    language: str = LANGUAGE[\"ZH\"],\n    last_user_query: str = None,\n    allow_memory_search: bool = True,\n    version_no: int = 0,\n):\n    agent_info = search_agent_info_by_agent_id(\n        agent_id=agent_id, tenant_id=tenant_id, version_no=version_no)\n\n    # create sub agent\n    sub_agent_id_list = query_sub_agents_id_list(\n        main_agent_id=agent_id, tenant_id=tenant_id, version_no=version_no)\n    managed_agents = []\n    for sub_agent_id in sub_agent_id_list:\n        # Get the current published version for this sub-agent (from draft version 0)\n        sub_agent_version_no = query_current_version_no(\n            agent_id=sub_agent_id, tenant_id=tenant_id) or 0\n        sub_agent_config = await create_agent_config(\n            agent_id=sub_agent_id,\n            tenant_id=tenant_id,\n            user_id=user_id,\n            language=language,\n            last_user_query=last_user_query,\n            allow_memory_search=allow_memory_search,\n            version_no=sub_agent_version_no,\n        )\n        managed_agents.append(sub_agent_config)\n\n    tool_list = await create_tool_config_list(agent_id, tenant_id, user_id, version_no=version_no)\n\n    # Build system prompt: prioritize segmented fields, fallback to original prompt field if not available\n    duty_prompt = agent_info.get(\"duty_prompt\", \"\")\n    constraint_prompt = agent_info.get(\"constraint_prompt\", \"\")\n    few_shots_prompt = agent_info.get(\"few_shots_prompt\", \"\")\n\n    # Get template content\n    prompt_template = get_agent_prompt_template(\n        is_manager=len(managed_agents) > 0, language=language)\n\n    # Get app information\n    default_app_description = 'Nexent 是一个开源智能体SDK和平台' if language == 'zh' else 'Nexent is an open-source agent SDK and platform'\n    app_name = tenant_config_manager.get_app_config(\n        'APP_NAME', tenant_id=tenant_id) or \"Nexent\"\n    app_description = tenant_config_manager.get_app_config(\n        'APP_DESCRIPTION', tenant_id=tenant_id) or default_app_description\n\n    # Get memory list\n    memory_context = build_memory_context(user_id, tenant_id, agent_id)\n    memory_list = []\n    if allow_memory_search and memory_context.user_config.memory_switch:\n        logger.debug(\"Retrieving memory list...\")\n        memory_levels = [\"tenant\", \"agent\", \"user\", \"user_agent\"]\n        if memory_context.user_config.agent_share_option == \"never\":\n            memory_levels.remove(\"agent\")\n        if memory_context.agent_id in memory_context.user_config.disable_agent_ids:\n            memory_levels.remove(\"agent\")\n        if memory_context.agent_id in memory_context.user_config.disable_user_agent_ids:\n            memory_levels.remove(\"user_agent\")\n\n        try:\n            search_res = await search_memory_in_levels(\n                query_text=last_user_query,\n                memory_config=memory_context.memory_config,\n                tenant_id=memory_context.tenant_id,\n                user_id=memory_context.user_id,\n                agent_id=memory_context.agent_id,\n                memory_levels=memory_levels,\n            )\n            memory_list = search_res.get(\"results\", [])\n            logger.debug(f\"Retrieved memory list: {memory_list}\")\n        except Exception as e:\n            # Bubble up to streaming layer so it can emit <MEM_FAILED> and fall back\n            raise Exception(f\"Failed to retrieve memory list: {e}\")\n\n    # Build knowledge base summary\n    knowledge_base_summary = \"\"\n    try:\n        for tool in tool_list:\n            if \"KnowledgeBaseSearchTool\" == tool.class_name:\n                index_names = tool.params.get(\"index_names\")\n                if index_names:\n                    for index_name in index_names:\n                        try:\n                            message = ElasticSearchService().get_summary(index_name=index_name)\n                            summary = message.get(\"summary\", \"\")\n                            knowledge_base_summary += f\"**{index_name}**: {summary}\\n\\n\"\n                        except Exception as e:\n                            logger.warning(\n                                f\"Failed to get summary for knowledge base {index_name}: {e}\")\n                else:\n                    # TODO: Prompt should be refactored to yaml file\n                    knowledge_base_summary = \"当前没有可用的知识库索引。\\n\" if language == 'zh' else \"No knowledge base indexes are currently available.\\n\"\n                break  # Only process the first KnowledgeBaseSearchTool found\n    except Exception as e:\n        logger.error(f\"Failed to build knowledge base summary: {e}\")\n\n    # Assemble system_prompt\n    if duty_prompt or constraint_prompt or few_shots_prompt:\n        system_prompt = Template(prompt_template[\"system_prompt\"], undefined=StrictUndefined).render({\n            \"duty\": duty_prompt,\n            \"constraint\": constraint_prompt,\n            \"few_shots\": few_shots_prompt,\n            \"tools\": {tool.name: tool for tool in tool_list},\n            \"managed_agents\": {agent.name: agent for agent in managed_agents},\n            \"authorized_imports\": str(BASE_BUILTIN_MODULES),\n            \"APP_NAME\": app_name,\n            \"APP_DESCRIPTION\": app_description,\n            \"memory_list\": memory_list,\n            \"knowledge_base_summary\": knowledge_base_summary,\n            \"time\": datetime.now().strftime(\"%Y-%m-%d %H:%M:%S\")\n        })\n    else:\n        system_prompt = agent_info.get(\"prompt\", \"\")\n\n    if agent_info.get(\"model_id\") is not None:\n        model_info = get_model_by_model_id(agent_info.get(\"model_id\"))\n        model_name = model_info[\"display_name\"] if model_info is not None else \"main_model\"\n    else:\n        model_name = \"main_model\"\n    agent_config = AgentConfig(\n        name=\"undefined\" if agent_info[\"name\"] is None else agent_info[\"name\"],\n        description=\"undefined\" if agent_info[\"description\"] is None else agent_info[\"description\"],\n        prompt_templates=await prepare_prompt_templates(\n            is_manager=len(managed_agents) > 0,\n            system_prompt=system_prompt,\n            language=language\n        ),\n        tools=tool_list,\n        max_steps=agent_info.get(\"max_steps\", 10),\n        model_name=model_name,\n        provide_run_summary=agent_info.get(\"provide_run_summary\", False),\n        managed_agents=managed_agents\n    )\n    return agent_config\n\n\nasync def create_tool_config_list(agent_id, tenant_id, user_id, version_no: int = 0):\n    # create tool\n    tool_config_list = []\n    langchain_tools = await discover_langchain_tools()\n\n    # now only admin can modify the agent, user_id is not used\n    tools_list = search_tools_for_sub_agent(agent_id, tenant_id, version_no=version_no)\n    for tool in tools_list:\n        param_dict = {}\n        for param in tool.get(\"params\", []):\n            param_dict[param[\"name\"]] = param.get(\"default\")\n        tool_config = ToolConfig(\n            class_name=tool.get(\"class_name\"),\n            name=tool.get(\"name\"),\n            description=tool.get(\"description\"),\n            inputs=tool.get(\"inputs\"),\n            output_type=tool.get(\"output_type\"),\n            params=param_dict,\n            source=tool.get(\"source\"),\n            usage=tool.get(\"usage\")\n        )\n\n        if tool.get(\"source\") == \"langchain\":\n            tool_class_name = tool.get(\"class_name\")\n            for langchain_tool in langchain_tools:\n                if langchain_tool.name == tool_class_name:\n                    tool_config.metadata = langchain_tool\n                    break\n\n        # special logic for knowledge base search tool\n        if tool_config.class_name == \"KnowledgeBaseSearchTool\":\n           tool_config.metadata = {\n                \"vdb_core\": get_vector_db_core(),\n                \"embedding_model\": get_embedding_model(tenant_id=tenant_id),\n            }\n        elif tool_config.class_name == \"AnalyzeTextFileTool\":\n            tool_config.metadata = {\n                \"llm_model\": get_llm_model(tenant_id=tenant_id),\n                \"storage_client\": minio_client,\n                \"data_process_service_url\": DATA_PROCESS_SERVICE\n            }\n        elif tool_config.class_name == \"AnalyzeImageTool\":\n            tool_config.metadata = {\n                \"vlm_model\": get_vlm_model(tenant_id=tenant_id),\n                \"storage_client\": minio_client,\n            }\n\n        tool_config_list.append(tool_config)\n\n    return tool_config_list\n\n\nasync def discover_langchain_tools():\n    \"\"\"\n    Discover LangChain tools implemented with the `@tool` decorator.\n\n    Returns:\n        list: List of discovered LangChain tool instances\n    \"\"\"\n    from utils.langchain_utils import discover_langchain_modules\n\n    langchain_tools = []\n\n    # ----------------------------------------------\n    # Discover LangChain tools implemented with the\n    # `@tool` decorator and convert them to ToolConfig\n    # ----------------------------------------------\n    try:\n        # Use the utility function to discover all BaseTool objects\n        discovered_tools = discover_langchain_modules()\n\n        for obj, filename in discovered_tools:\n            try:\n                # Log successful tool discovery\n                logger.info(\n                    f\"Loaded LangChain tool '{obj.name}' from {filename}\")\n                langchain_tools.append(obj)\n            except Exception as e:\n                logger.error(\n                    f\"Error processing LangChain tool from {filename}: {e}\")\n\n    except Exception as e:\n        logger.error(\n            f\"Unexpected error scanning LangChain tools directory: {e}\")\n\n    return langchain_tools\n\n\nasync def prepare_prompt_templates(is_manager: bool, system_prompt: str, language: str = 'zh'):\n    \"\"\"\n    Prepare prompt templates, support multiple languages\n\n    Args:\n        is_manager: Whether it is a manager mode\n        system_prompt: System prompt content\n        language: Language code ('zh' or 'en')\n\n    Returns:\n        dict: Prompt template configuration\n    \"\"\"\n    prompt_templates = get_agent_prompt_template(is_manager, language)\n    prompt_templates[\"system_prompt\"] = system_prompt\n    return prompt_templates\n\n\nasync def join_minio_file_description_to_query(minio_files, query):\n    final_query = query\n    if minio_files and isinstance(minio_files, list):\n        file_descriptions = []\n        for file in minio_files:\n            if isinstance(file, dict) and \"url\" in file and file[\"url\"] and \"name\" in file and file[\"name\"]:\n                file_descriptions.append(f\"File name: {file['name']}, S3 URL: s3:/{file['url']}\")\n        if file_descriptions:\n            final_query = \"User uploaded files. The file information is as follows:\\n\"\n            final_query += \"\\n\".join(file_descriptions) + \"\\n\\n\"\n            final_query += f\"User wants to answer questions based on the information in the above files: {query}\"\n    return final_query\n\n\ndef filter_mcp_servers_and_tools(input_agent_config: AgentConfig, mcp_info_dict) -> list:\n    \"\"\"\n    Filter mcp servers and tools, only keep the actual used mcp servers\n    Support multi-level agent, recursively check all sub-agent tools\n    \"\"\"\n    used_mcp_urls = set()\n\n    # Recursively check all agent tools\n    def check_agent_tools(agent_config: AgentConfig):\n        # Check current agent tools\n        for tool in agent_config.tools:\n            if tool.source == \"mcp\" and tool.usage in mcp_info_dict:\n                used_mcp_urls.add(\n                    mcp_info_dict[tool.usage][\"remote_mcp_server\"])\n\n        # Recursively check sub-agent\n        for sub_agent_config in agent_config.managed_agents:\n            check_agent_tools(sub_agent_config)\n\n    # Check all agent tools\n    check_agent_tools(input_agent_config)\n\n    return list(used_mcp_urls)\n\n\nasync def create_agent_run_info(\n    agent_id,\n    minio_files,\n    query,\n    history,\n    tenant_id: str,\n    user_id: str,\n    language: str = \"zh\",\n    allow_memory_search: bool = True,\n    is_debug: bool = False,\n):\n    # Determine which version_no to use based on is_debug flag\n    # If is_debug=false, use the current published version (current_version_no)\n    # If is_debug=true, use version 0 (draft/editing state)\n    if is_debug:\n        version_no = 0\n    else:\n        # Get current published version number\n        version_no = query_current_version_no(agent_id=agent_id, tenant_id=tenant_id)\n        # Fallback to 0 if no published version exists\n        if version_no is None:\n            version_no = 0\n            logger.info(f\"Agent {agent_id} has no published version, using draft version 0\")\n\n    final_query = await join_minio_file_description_to_query(minio_files=minio_files, query=query)\n    model_list = await create_model_config_list(tenant_id)\n    agent_config = await create_agent_config(\n        agent_id=agent_id,\n        tenant_id=tenant_id,\n        user_id=user_id,\n        language=language,\n        last_user_query=final_query,\n        allow_memory_search=allow_memory_search,\n        version_no=version_no,\n    )\n\n    remote_mcp_list = await get_remote_mcp_server_list(tenant_id=tenant_id, is_need_auth=True)\n    default_mcp_url = urljoin(LOCAL_MCP_SERVER, \"sse\")\n    remote_mcp_list.append({\n        \"remote_mcp_server_name\": \"nexent\",\n        \"remote_mcp_server\": default_mcp_url,\n        \"status\": True,\n        \"authorization_token\": None\n    })\n    remote_mcp_dict = {record[\"remote_mcp_server_name\"]: record for record in remote_mcp_list if record[\"status\"]}\n\n    # Filter MCP servers and tools, and build mcp_host with authorization\n    used_mcp_urls = filter_mcp_servers_and_tools(agent_config, remote_mcp_dict)\n\n    # Build mcp_host list with authorization tokens\n    mcp_host = []\n    for url in used_mcp_urls:\n        # Find the MCP record for this URL\n        mcp_record = None\n        for record in remote_mcp_list:\n            if record.get(\"remote_mcp_server\") == url and record.get(\"status\"):\n                mcp_record = record\n                break\n\n        if mcp_record:\n            mcp_config = {\n                \"url\": url,\n                \"transport\": \"sse\" if url.endswith(\"/sse\") else \"streamable-http\"\n            }\n            # Add authorization if present\n            auth_token = mcp_record.get(\"authorization_token\")\n            if auth_token:\n                mcp_config[\"authorization\"] = auth_token\n            mcp_host.append(mcp_config)\n        else:\n            # Fallback to string format if record not found\n            mcp_host.append(url)\n\n    agent_run_info = AgentRunInfo(\n        query=final_query,\n        model_config_list=model_list,\n        observer=MessageObserver(lang=language),\n        agent_config=agent_config,\n        mcp_host=mcp_host,\n        history=history,\n        stop_event=threading.Event()\n    )\n    return agent_run_info\n"
  },
  {
    "path": "backend/agents/default_agents/__init__.py",
    "content": ""
  },
  {
    "path": "backend/agents/preprocess_manager.py",
    "content": "import logging\nimport threading\nimport asyncio\nfrom typing import Dict, Set\nfrom threading import Event\n\nlogger = logging.getLogger(\"preprocess_manager\")\n\n\nclass PreprocessTask:\n    def __init__(self, task_id: str, conversation_id: int):\n        self.task_id = task_id\n        self.conversation_id = conversation_id\n        self.stop_event = Event()\n        self.is_running = True\n        self.task = None  # asyncio.Task reference\n\n\nclass PreprocessManager:\n    _instance = None\n    _lock = threading.Lock()\n\n    def __new__(cls):\n        if cls._instance is None:\n            with cls._lock:\n                if cls._instance is None:\n                    cls._instance = super(PreprocessManager, cls).__new__(cls)\n                    cls._instance._initialized = False\n        return cls._instance\n\n    def __init__(self):\n        if not self._initialized:\n            # task_id -> PreprocessTask\n            self.preprocess_tasks: Dict[str, PreprocessTask] = {}\n            # conversation_id -> Set[task_id]\n            self.conversation_tasks: Dict[int, Set[str]] = {}\n            self._initialized = True\n\n    def register_preprocess_task(self, task_id: str, conversation_id: int, task: asyncio.Task):\n        \"\"\"Register a preprocess task\"\"\"\n        with self._lock:\n            preprocess_task = PreprocessTask(task_id, conversation_id)\n            preprocess_task.task = task\n            self.preprocess_tasks[task_id] = preprocess_task\n\n            if conversation_id not in self.conversation_tasks:\n                self.conversation_tasks[conversation_id] = set()\n            self.conversation_tasks[conversation_id].add(task_id)\n\n            logger.info(\n                f\"Registered preprocess task {task_id} for conversation {conversation_id}\")\n\n    def unregister_preprocess_task(self, task_id: str):\n        \"\"\"Unregister a preprocess task\"\"\"\n        with self._lock:\n            if task_id in self.preprocess_tasks:\n                task = self.preprocess_tasks[task_id]\n                conversation_id = task.conversation_id\n\n                # Remove from conversation_tasks\n                if conversation_id in self.conversation_tasks:\n                    self.conversation_tasks[conversation_id].discard(task_id)\n                    if not self.conversation_tasks[conversation_id]:\n                        del self.conversation_tasks[conversation_id]\n\n                # Remove from preprocess_tasks\n                del self.preprocess_tasks[task_id]\n\n                logger.info(f\"Unregistered preprocess task {task_id}\")\n\n    def stop_preprocess_tasks(self, conversation_id: int) -> bool:\n        \"\"\"Stop all preprocess tasks for a conversation\"\"\"\n        with self._lock:\n            if conversation_id not in self.conversation_tasks:\n                return False\n\n            task_ids = self.conversation_tasks[conversation_id].copy()\n            stopped_count = 0\n\n            for task_id in task_ids:\n                if task_id in self.preprocess_tasks:\n                    task = self.preprocess_tasks[task_id]\n                    if task.is_running:\n                        task.stop_event.set()\n                        task.is_running = False\n\n                        # Cancel the asyncio task if it exists\n                        if task.task and not task.task.done():\n                            task.task.cancel()\n\n                        stopped_count += 1\n                        logger.info(\n                            f\"Stopped preprocess task {task_id} for conversation {conversation_id}\")\n\n            return stopped_count > 0\n\n    def is_preprocess_running(self, conversation_id: int) -> bool:\n        \"\"\"Check if any preprocess task is running for a conversation\"\"\"\n        with self._lock:\n            if conversation_id not in self.conversation_tasks:\n                return False\n\n            for task_id in self.conversation_tasks[conversation_id]:\n                if task_id in self.preprocess_tasks:\n                    task = self.preprocess_tasks[task_id]\n                    if task.is_running and not task.stop_event.is_set():\n                        return True\n\n            return False\n\n    def get_preprocess_status(self, conversation_id: int) -> Dict:\n        \"\"\"Get preprocess status for a conversation\"\"\"\n        with self._lock:\n            if conversation_id not in self.conversation_tasks:\n                return {\"running\": False, \"task_count\": 0}\n\n            running_tasks = []\n            for task_id in self.conversation_tasks[conversation_id]:\n                if task_id in self.preprocess_tasks:\n                    task = self.preprocess_tasks[task_id]\n                    running_tasks.append({\n                        \"task_id\": task_id,\n                        \"is_running\": task.is_running,\n                        \"stopped\": task.stop_event.is_set()\n                    })\n\n            return {\n                \"running\": any(task[\"is_running\"] for task in running_tasks),\n                \"task_count\": len(running_tasks),\n                \"tasks\": running_tasks\n            }\n\n\n# Create singleton instance\npreprocess_manager = PreprocessManager()\n"
  },
  {
    "path": "backend/apps/agent_app.py",
    "content": "import logging\nfrom http import HTTPStatus\nfrom typing import Optional\n\nfrom fastapi import APIRouter, Body, Header, HTTPException, Request, Query\nfrom fastapi.encoders import jsonable_encoder\nfrom starlette.responses import JSONResponse\n\nfrom consts.model import AgentRequest, AgentInfoRequest, AgentIDRequest, ConversationResponse, AgentImportRequest, AgentNameBatchCheckRequest, AgentNameBatchRegenerateRequest, VersionPublishRequest, VersionListResponse, VersionDetailResponse, VersionRollbackRequest, VersionStatusRequest, CurrentVersionResponse, VersionCompareRequest, VersionUpdateRequest\nfrom services.agent_service import (\n    get_agent_info_impl,\n    get_creating_sub_agent_info_impl,\n    update_agent_info_impl,\n    delete_agent_impl,\n    export_agent_impl,\n    import_agent_impl,\n    check_agent_name_conflict_batch_impl,\n    regenerate_agent_name_batch_impl,\n    list_all_agent_info_impl,\n    run_agent_stream,\n    stop_agent_tasks,\n    get_agent_call_relationship_impl,\n    clear_agent_new_mark_impl\n)\nfrom services.agent_version_service import (\n    publish_version_impl,\n    get_version_list_impl,\n    get_version_impl,\n    get_version_detail_impl,\n    rollback_version_impl,\n    update_version_status_impl,\n    update_version_impl,\n    delete_version_impl,\n    get_current_version_impl,\n    compare_versions_impl,\n    list_published_agents_impl,\n)\nfrom utils.auth_utils import get_current_user_info, get_current_user_id\n\n# Import monitoring utilities\nfrom utils.monitoring import monitoring_manager\n\nagent_runtime_router = APIRouter(prefix=\"/agent\")\nagent_config_router = APIRouter(prefix=\"/agent\")\nlogger = logging.getLogger(\"agent_app\")\n\n\n# Define API route\n@agent_runtime_router.post(\"/run\")\n@monitoring_manager.monitor_endpoint(\"agent.run\", exclude_params=[\"authorization\"])\nasync def agent_run_api(agent_request: AgentRequest, http_request: Request, authorization: str = Header(None)):\n    \"\"\"\n    Agent execution API endpoint\n    \"\"\"\n    try:\n        return await run_agent_stream(\n            agent_request=agent_request,\n            http_request=http_request,\n            authorization=authorization\n        )\n    except Exception as e:\n        logger.error(f\"Agent run error: {str(e)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=\"Agent run error.\")\n\n\n@agent_runtime_router.get(\"/stop/{conversation_id}\")\nasync def agent_stop_api(conversation_id: int, authorization: Optional[str] = Header(None)):\n    \"\"\"\n    stop agent run and preprocess tasks for specified conversation_id\n    \"\"\"\n    user_id, _ = get_current_user_id(authorization)\n    if stop_agent_tasks(conversation_id, user_id).get(\"status\") == \"success\":\n        return {\"status\": \"success\", \"message\": \"agent run and preprocess tasks stopped successfully\"}\n    else:\n        raise HTTPException(status_code=HTTPStatus.BAD_REQUEST,\n                            detail=f\"no running agent or preprocess tasks found for conversation_id {conversation_id}\")\n\n\n@agent_config_router.post(\"/search_info\")\nasync def search_agent_info_api(\n    agent_id: int = Body(...),\n    version_no: int = Body(0),\n    tenant_id: Optional[str] = Query(\n        None, description=\"Tenant ID for filtering (uses auth if not provided)\"),\n    authorization: Optional[str] = Header(None)\n):\n    \"\"\"\n    Search agent info by agent_id and version_no\n    version_no defaults to 0 (current/draft version)\n    \"\"\"\n    try:\n        _, auth_tenant_id = get_current_user_id(authorization)\n        # Use explicit tenant_id if provided, otherwise fall back to auth tenant_id\n        effective_tenant_id = tenant_id or auth_tenant_id\n        return await get_agent_info_impl(agent_id, effective_tenant_id, version_no)\n    except Exception as e:\n        logger.error(f\"Agent search info error: {str(e)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=\"Agent search info error.\")\n\n\n@agent_config_router.get(\"/get_creating_sub_agent_id\")\nasync def get_creating_sub_agent_info_api(authorization: Optional[str] = Header(None)):\n    \"\"\"\n    Create a new sub agent, return agent_ID\n    \"\"\"\n    try:\n        return await get_creating_sub_agent_info_impl(authorization)\n    except Exception as e:\n        logger.error(f\"Agent create error: {str(e)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=\"Agent create error.\")\n\n\n@agent_config_router.post(\"/update\")\nasync def update_agent_info_api(request: AgentInfoRequest, authorization: Optional[str] = Header(None)):\n    \"\"\"\n    Update an existing agent\n    \"\"\"\n    try:\n        result = await update_agent_info_impl(request, authorization)\n        return result or {}\n    except Exception as e:\n        logger.error(f\"Agent update error: {str(e)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=\"Agent update error.\")\n\n\n@agent_config_router.delete(\"\")\nasync def delete_agent_api(\n    request: AgentIDRequest,\n    tenant_id: Optional[str] = Query(\n        None, description=\"Tenant ID for filtering (uses auth if not provided)\"),\n    authorization: Optional[str] = Header(None),\n    http_request: Request = None\n):\n    \"\"\"\n    Delete an agent\n    \"\"\"\n    try:\n        user_id, auth_tenant_id, _ = get_current_user_info(authorization, http_request)\n        # Use explicit tenant_id if provided, otherwise fall back to auth tenant_id\n        effective_tenant_id = tenant_id or auth_tenant_id\n        await delete_agent_impl(request.agent_id, effective_tenant_id, user_id)\n        return {}\n    except Exception as e:\n        logger.error(f\"Agent delete error: {str(e)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=\"Agent delete error.\")\n\n\n@agent_config_router.post(\"/export\")\nasync def export_agent_api(request: AgentIDRequest, authorization: Optional[str] = Header(None)):\n    \"\"\"\n    export an agent\n    \"\"\"\n    try:\n        agent_info_str = await export_agent_impl(request.agent_id, authorization)\n        return ConversationResponse(code=0, message=\"success\", data=agent_info_str)\n    except Exception as e:\n        logger.error(f\"Agent export error: {str(e)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=\"Agent export error.\")\n\n\n@agent_config_router.post(\"/import\")\nasync def import_agent_api(request: AgentImportRequest, authorization: Optional[str] = Header(None)):\n    \"\"\"\n    import an agent\n    \"\"\"\n    try:\n        await import_agent_impl(\n            request.agent_info,\n            authorization,\n            force_import=request.force_import\n        )\n        return {}\n    except Exception as e:\n        logger.error(f\"Agent import error: {str(e)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=\"Agent import error.\")\n\n\n@agent_config_router.put(\"/clear_new/{agent_id}\")\nasync def clear_agent_new_mark_api(agent_id: int, authorization: Optional[str] = Header(None)):\n    \"\"\"\n    Clear the NEW mark for an agent\n    \"\"\"\n    try:\n        user_id, tenant_id, _ = get_current_user_info(authorization)\n        affected_rows = await clear_agent_new_mark_impl(agent_id, tenant_id, user_id)\n        return {\"message\": \"Agent NEW mark cleared successfully\", \"affected_rows\": affected_rows}\n    except Exception as e:\n        logger.error(f\"Failed to clear agent NEW mark: {str(e)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=\"Failed to clear agent NEW mark.\")\n\n\n@agent_config_router.post(\"/check_name\")\nasync def check_agent_name_batch_api(request: AgentNameBatchCheckRequest, authorization: Optional[str] = Header(None)):\n    \"\"\"\n    Batch check whether agent name/display_name conflicts exist in the tenant.\n    \"\"\"\n    try:\n        return await check_agent_name_conflict_batch_impl(request, authorization)\n    except ValueError as e:\n        raise HTTPException(status_code=HTTPStatus.BAD_REQUEST, detail=str(e))\n    except Exception as e:\n        logger.error(f\"Agent name batch check error: {str(e)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=\"Agent name batch check error.\")\n\n\n@agent_config_router.post(\"/regenerate_name\")\nasync def regenerate_agent_name_batch_api(request: AgentNameBatchRegenerateRequest, authorization: Optional[str] = Header(None)):\n    \"\"\"\n    Batch regenerate agent name/display_name using LLM or suffix fallback.\n    \"\"\"\n    try:\n        return await regenerate_agent_name_batch_impl(request, authorization)\n    except ValueError as e:\n        raise HTTPException(status_code=HTTPStatus.BAD_REQUEST, detail=str(e))\n    except Exception as e:\n        logger.error(f\"Agent name batch regenerate error: {str(e)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=\"Agent name batch regenerate error.\")\n\n\n@agent_config_router.get(\"/list\")\nasync def list_all_agent_info_api(\n    tenant_id: Optional[str] = Query(\n        None, description=\"Tenant ID for filtering (uses auth if not provided)\"),\n    authorization: Optional[str] = Header(None),\n    request: Request = None\n):\n    \"\"\"\n    list all agent info\n    \"\"\"\n    try:\n        user_id, auth_tenant_id, _ = get_current_user_info(authorization, request)\n        # Use explicit tenant_id if provided, otherwise fall back to auth tenant_id\n        effective_tenant_id = tenant_id or auth_tenant_id\n        return await list_all_agent_info_impl(tenant_id=effective_tenant_id, user_id=user_id)\n    except Exception as e:\n        logger.error(f\"Agent list error: {str(e)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=\"Agent list error.\")\n\n\n@agent_config_router.get(\"/call_relationship/{agent_id}\")\nasync def get_agent_call_relationship_api(agent_id: int, authorization: Optional[str] = Header(None)):\n    \"\"\"\n    Get agent call relationship tree including tools and sub-agents\n    \"\"\"\n    try:\n        _, tenant_id = get_current_user_id(authorization)\n        return get_agent_call_relationship_impl(agent_id, tenant_id)\n    except Exception as e:\n        logger.error(f\"Agent call relationship error: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n                            detail=\"Failed to get agent call relationship.\")\n\n\n# Agent Version Management APIs\n# ---------------------------------------------------------------------------\n\n\n@agent_config_router.post(\"/{agent_id}/publish\")\nasync def publish_version_api(\n    agent_id: int,\n    request: VersionPublishRequest,\n    authorization: str = Header(None),\n):\n    \"\"\"\n    Publish a new version\n    \"\"\"\n    try:\n        user_id, tenant_id = get_current_user_id(authorization)\n        result = publish_version_impl(\n            agent_id=agent_id,\n            tenant_id=tenant_id,\n            user_id=user_id,\n            version_name=request.version_name,\n            release_note=request.release_note,\n        )\n        return JSONResponse(status_code=HTTPStatus.OK, content=result)\n    except ValueError as e:\n        raise HTTPException(status_code=HTTPStatus.BAD_REQUEST, detail=str(e))\n    except Exception as e:\n        logger.error(f\"Publish version error: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=\"Publish version error.\")\n\n\n@agent_config_router.post(\"/{agent_id}/versions/compare\")\nasync def compare_versions_api(\n    agent_id: int,\n    request: VersionCompareRequest,\n    authorization: str = Header(None),\n):\n    \"\"\"\n    Compare two versions and return their differences\n    \"\"\"\n    try:\n        _, tenant_id = get_current_user_id(authorization)\n        result = compare_versions_impl(\n            agent_id=agent_id,\n            tenant_id=tenant_id,\n            version_no_a=request.version_no_a,\n            version_no_b=request.version_no_b,\n        )\n        return JSONResponse(status_code=HTTPStatus.OK, content=jsonable_encoder(result))\n    except ValueError as e:\n        raise HTTPException(status_code=HTTPStatus.BAD_REQUEST, detail=str(e))\n    except Exception as e:\n        logger.error(f\"Compare versions error: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=\"Compare versions error.\")\n\n\n@agent_config_router.get(\"/{agent_id}/versions\", response_model=VersionListResponse)\nasync def get_version_list_api(\n    agent_id: int,\n    tenant_id: Optional[str] = Query(\n        None, description=\"Tenant ID for filtering (uses auth if not provided)\"),\n    authorization: Optional[str] = Header(None),\n    request: Request = None\n):\n    \"\"\"\n    Get version list for an agent\n    \"\"\"\n    try:\n        user_id, auth_tenant_id, _ = get_current_user_info(authorization, request)\n        # Use explicit tenant_id if provided, otherwise fall back to auth tenant_id\n        effective_tenant_id = tenant_id or auth_tenant_id\n        logger.info(f\"Get version list for agent_id: {agent_id}, tenant_id: {effective_tenant_id}\")\n        result = get_version_list_impl(\n            agent_id=agent_id,\n            tenant_id=effective_tenant_id,\n        )\n        logger.info(f\"Version list: {result}\")\n        return JSONResponse(status_code=HTTPStatus.OK, content=jsonable_encoder(result))\n    except Exception as e:\n        logger.error(f\"Get version list error: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=\"Get version list error.\")\n\n\n@agent_config_router.get(\"/{agent_id}/versions/{version_no}\", response_model=VersionDetailResponse)\nasync def get_version_api(\n    agent_id: int,\n    version_no: int,\n    authorization: str = Header(None),\n):\n    \"\"\"\n    Get version\n    \"\"\"\n    try:\n        _, tenant_id = get_current_user_id(authorization)\n        result = get_version_impl(\n            agent_id=agent_id,\n            tenant_id=tenant_id,\n            version_no=version_no,\n        )\n        return JSONResponse(status_code=HTTPStatus.OK, content=jsonable_encoder(result))\n    except ValueError as e:\n        raise HTTPException(status_code=HTTPStatus.NOT_FOUND, detail=str(e))\n    except Exception as e:\n        logger.error(f\"Get version detail error: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=\"Get version detail error.\")\n\n@agent_config_router.get(\"/{agent_id}/versions/{version_no}/detail\", response_model=VersionDetailResponse)\nasync def get_version_detail_api(\n    agent_id: int,\n    version_no: int,\n    authorization: str = Header(None),\n):\n    \"\"\"\n    Get version detail including snapshot data\n    \"\"\"\n    try:\n        _, tenant_id = get_current_user_id(authorization)\n        result = get_version_detail_impl(\n            agent_id=agent_id,\n            tenant_id=tenant_id,\n            version_no=version_no,\n        )\n        return JSONResponse(status_code=HTTPStatus.OK, content=jsonable_encoder(result))\n    except ValueError as e:\n        raise HTTPException(status_code=HTTPStatus.NOT_FOUND, detail=str(e))\n    except Exception as e:\n        logger.error(f\"Get version detail error: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=\"Get version detail error.\")\n\n\n@agent_config_router.post(\"/{agent_id}/versions/{version_no}/rollback\")\nasync def rollback_version_api(\n    agent_id: int,\n    version_no: int,\n    authorization: str = Header(None),\n):\n    \"\"\"\n    Rollback to a specific version by updating current_version_no only.\n    This does NOT create a new version - the draft will point to the target version.\n    Use the publish endpoint to create an actual new version after rollback.\n    \"\"\"\n    try:\n        _, tenant_id = get_current_user_id(authorization)\n        result = rollback_version_impl(\n            agent_id=agent_id,\n            tenant_id=tenant_id,\n            target_version_no=version_no,\n        )\n        return JSONResponse(status_code=HTTPStatus.OK, content=result)\n    except ValueError as e:\n        raise HTTPException(status_code=HTTPStatus.BAD_REQUEST, detail=str(e))\n    except Exception as e:\n        logger.error(f\"Rollback version error: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=\"Rollback version error.\")\n\n\n@agent_config_router.patch(\"/{agent_id}/versions/{version_no}/status\")\nasync def update_version_status_api(\n    agent_id: int,\n    version_no: int,\n    request: VersionStatusRequest,\n    authorization: str = Header(None),\n):\n    \"\"\"\n    Update version status (DISABLED / ARCHIVED)\n    \"\"\"\n    try:\n        user_id, tenant_id = get_current_user_id(authorization)\n        result = update_version_status_impl(\n            agent_id=agent_id,\n            tenant_id=tenant_id,\n            user_id=user_id,\n            version_no=version_no,\n            status=request.status,\n        )\n        return JSONResponse(status_code=HTTPStatus.OK, content=result)\n    except ValueError as e:\n        raise HTTPException(status_code=HTTPStatus.BAD_REQUEST, detail=str(e))\n    except Exception as e:\n        logger.error(f\"Update version status error: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=\"Update version status error.\")\n\n\n@agent_config_router.put(\"/{agent_id}/versions/{version_no}\")\nasync def update_version_api(\n    agent_id: int,\n    version_no: int,\n    request: VersionUpdateRequest,\n    authorization: str = Header(None),\n):\n    \"\"\"\n    Update version metadata (version_name and release_note)\n    \"\"\"\n    try:\n        user_id, tenant_id = get_current_user_id(authorization)\n        result = update_version_impl(\n            agent_id=agent_id,\n            tenant_id=tenant_id,\n            user_id=user_id,\n            version_no=version_no,\n            version_name=request.version_name,\n            release_note=request.release_note,\n        )\n        return JSONResponse(status_code=HTTPStatus.OK, content=result)\n    except ValueError as e:\n        raise HTTPException(status_code=HTTPStatus.BAD_REQUEST, detail=str(e))\n    except Exception as e:\n        logger.error(f\"Update version error: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=\"Update version error.\")\n\n\n@agent_config_router.delete(\"/{agent_id}/versions/{version_no}\")\nasync def delete_version_api(\n    agent_id: int,\n    version_no: int,\n    authorization: str = Header(None),\n):\n    \"\"\"\n    Delete a version (soft delete by setting delete_flag='Y')\n    \"\"\"\n    try:\n        user_id, tenant_id = get_current_user_id(authorization)\n        result = delete_version_impl(\n            agent_id=agent_id,\n            tenant_id=tenant_id,\n            user_id=user_id,\n            version_no=version_no,\n        )\n        return JSONResponse(status_code=HTTPStatus.OK, content=result)\n    except ValueError as e:\n        raise HTTPException(status_code=HTTPStatus.BAD_REQUEST, detail=str(e))\n    except Exception as e:\n        logger.error(f\"Delete version error: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=\"Delete version error.\")\n\n\n@agent_config_router.get(\"/{agent_id}/current_version\", response_model=CurrentVersionResponse)\nasync def get_current_version_api(\n    agent_id: int,\n    authorization: str = Header(None),\n):\n    \"\"\"\n    Get current published version\n    \"\"\"\n    try:\n        _, tenant_id = get_current_user_id(authorization)\n        result = get_current_version_impl(\n            agent_id=agent_id,\n            tenant_id=tenant_id,\n        )\n        return JSONResponse(status_code=HTTPStatus.OK, content=jsonable_encoder(result))\n    except ValueError as e:\n        raise HTTPException(status_code=HTTPStatus.NOT_FOUND, detail=str(e))\n    except Exception as e:\n        logger.error(f\"Get current version error: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=\"Get current version error.\")\n\n\n@agent_config_router.get(\"/published_list\")\nasync def list_published_agents_api(\n    authorization: Optional[str] = Header(None),\n    request: Request = None,\n):\n    \"\"\"\n    List all published agents with their current published version information.\n    \"\"\"\n    try:\n        user_id, tenant_id, _ = get_current_user_info(authorization, request)\n        return await list_published_agents_impl(tenant_id=tenant_id, user_id=user_id)\n    except Exception as e:\n        logger.error(f\"Published agents list error: {str(e)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=\"Published agents list error.\"\n        )\n\n"
  },
  {
    "path": "backend/apps/app_factory.py",
    "content": "\"\"\"\nFastAPI application factory with common configurations and exception handlers.\n\"\"\"\nimport logging\n\nfrom fastapi import FastAPI, HTTPException\nfrom fastapi.middleware.cors import CORSMiddleware\nfrom fastapi.responses import JSONResponse\n\nfrom consts.exceptions import AppException\n\n\nlogger = logging.getLogger(__name__)\n\n\ndef create_app(\n    title: str = \"Nexent API\",\n    description: str = \"\",\n    version: str = \"1.0.0\",\n    root_path: str = \"/api\",\n    cors_origins: list = None,\n    cors_methods: list = None,\n    enable_monitoring: bool = True,\n) -> FastAPI:\n    \"\"\"\n    Create a FastAPI application with common configurations.\n\n    Args:\n        title: API title\n        description: API description\n        version: API version\n        root_path: Root path for the API\n        cors_origins: List of allowed CORS origins (default: [\"*\"])\n        cors_methods: List of allowed CORS methods (default: [\"*\"])\n        enable_monitoring: Whether to enable monitoring\n\n    Returns:\n        Configured FastAPI application\n    \"\"\"\n    app = FastAPI(\n        title=title,\n        description=description,\n        version=version,\n        root_path=root_path\n    )\n\n    # Add CORS middleware\n    app.add_middleware(\n        CORSMiddleware,\n        allow_origins=cors_origins or [\"*\"],\n        allow_credentials=True,\n        allow_methods=cors_methods or [\"*\"],\n        allow_headers=[\"*\"],\n    )\n\n    # Register exception handlers\n    register_exception_handlers(app)\n\n    # Initialize monitoring if enabled\n    if enable_monitoring:\n        try:\n            from utils.monitoring import monitoring_manager\n            monitoring_manager.setup_fastapi_app(app)\n        except ImportError:\n            logger.warning(\"Monitoring utilities not available\")\n\n    return app\n\n\ndef register_exception_handlers(app: FastAPI) -> None:\n    \"\"\"\n    Register common exception handlers for the FastAPI application.\n\n    Args:\n        app: FastAPI application instance\n    \"\"\"\n\n    @app.exception_handler(HTTPException)\n    async def http_exception_handler(request, exc):\n        logger.error(f\"HTTPException: {exc.detail}\")\n        return JSONResponse(\n            status_code=exc.status_code,\n            content={\"message\": exc.detail},\n        )\n\n    @app.exception_handler(AppException)\n    async def app_exception_handler(request, exc):\n        logger.error(f\"AppException: {exc.error_code.value} - {exc.message}\")\n        return JSONResponse(\n            status_code=exc.http_status,\n            content={\n                \"code\": exc.error_code.value,\n                \"message\": exc.message,\n                \"details\": exc.details if exc.details else None\n            },\n        )\n\n    @app.exception_handler(Exception)\n    async def generic_exception_handler(request, exc):\n        # Don't catch AppException - it has its own handler\n        if isinstance(exc, AppException):\n            return await app_exception_handler(request, exc)\n\n        logger.error(f\"Generic Exception: {exc}\")\n        return JSONResponse(\n            status_code=500,\n            content={\"message\": \"Internal server error, please try again later.\"},\n        )\n"
  },
  {
    "path": "backend/apps/config_app.py",
    "content": "import logging\n\nfrom apps.app_factory import create_app\nfrom apps.agent_app import agent_config_router as agent_router\nfrom apps.config_sync_app import router as config_sync_router\nfrom apps.datamate_app import router as datamate_router\nfrom apps.vectordatabase_app import router as vectordatabase_router\nfrom apps.dify_app import router as dify_router\nfrom apps.idata_app import router as idata_router\nfrom apps.file_management_app import file_management_config_router as file_manager_router\nfrom apps.image_app import router as proxy_router\nfrom apps.knowledge_summary_app import router as summary_router\nfrom apps.mock_user_management_app import router as mock_user_management_router\nfrom apps.model_managment_app import router as model_manager_router\nfrom apps.prompt_app import router as prompt_router\nfrom apps.remote_mcp_app import router as remote_mcp_router\nfrom apps.tenant_config_app import router as tenant_config_router\nfrom apps.tool_config_app import router as tool_config_router\nfrom apps.user_management_app import router as user_management_router\nfrom apps.voice_app import voice_config_router as voice_router\nfrom apps.tenant_app import router as tenant_router\nfrom apps.group_app import router as group_router\nfrom apps.user_app import router as user_router\nfrom apps.invitation_app import router as invitation_router\nfrom consts.const import IS_SPEED_MODE\n\n# Create logger instance\nlogger = logging.getLogger(\"base_app\")\n\n# Create FastAPI app with common configurations\napp = create_app(title=\"Nexent Config API\", description=\"Configuration APIs\")\n\napp.include_router(model_manager_router)\napp.include_router(config_sync_router)\napp.include_router(agent_router)\napp.include_router(vectordatabase_router)\napp.include_router(datamate_router)\napp.include_router(voice_router)\napp.include_router(file_manager_router)\napp.include_router(proxy_router)\napp.include_router(tool_config_router)\napp.include_router(dify_router)\napp.include_router(idata_router)\n\n# Choose user management router based on IS_SPEED_MODE\nif IS_SPEED_MODE:\n    logger.info(\"Speed mode enabled - using mock user management router\")\n    app.include_router(mock_user_management_router)\nelse:\n    logger.info(\"Normal mode - using real user management router\")\n    app.include_router(user_management_router)\n\napp.include_router(summary_router)\napp.include_router(prompt_router)\napp.include_router(tenant_config_router)\napp.include_router(remote_mcp_router)\napp.include_router(tenant_router)\napp.include_router(group_router)\napp.include_router(user_router)\napp.include_router(invitation_router)\n"
  },
  {
    "path": "backend/apps/config_sync_app.py",
    "content": "import logging\nfrom http import HTTPStatus\nfrom typing import Optional\n\nfrom fastapi import APIRouter, Header, Request, HTTPException\nfrom fastapi.responses import JSONResponse\n\nfrom consts.model import GlobalConfig\nfrom services.config_sync_service import save_config_impl, load_config_impl\nfrom utils.auth_utils import get_current_user_id, get_current_user_info\n\nrouter = APIRouter(prefix=\"/config\")\nlogger = logging.getLogger(\"config_sync_app\")\n\n\n@router.post(\"/save_config\")\nasync def save_config(config: GlobalConfig, authorization: Optional[str] = Header(None)):\n    try:\n        user_id, tenant_id = get_current_user_id(authorization)\n        logger.info(\n            f\"Start to save config, user_id: {user_id}, tenant_id: {tenant_id}\")\n        await save_config_impl(config, tenant_id, user_id)\n        return JSONResponse(\n            status_code=HTTPStatus.OK,\n            content={\"message\": \"Configuration saved successfully\",\n                     \"status\": \"saved\"}\n        )\n    except Exception as e:\n        logger.error(f\"Failed to save configuration: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.BAD_REQUEST,\n                            detail=\"Failed to save configuration.\")\n\n\n@router.get(\"/load_config\")\nasync def load_config(authorization: Optional[str] = Header(None), request: Request = None):\n    \"\"\"\n    Load configuration from environment variables\n\n    Returns:\n        JSONResponse: JSON object containing configuration content\n    \"\"\"\n    try:\n        # Build configuration object\n        user_id, tenant_id, language = get_current_user_info(\n            authorization, request)\n        config = await load_config_impl(language, tenant_id)\n        return JSONResponse(\n            status_code=HTTPStatus.OK,\n            content={\"config\": config}\n        )\n    except Exception as e:\n        logger.error(f\"Failed to load configuration: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.BAD_REQUEST,\n                            detail=\"Failed to load configuration.\")\n"
  },
  {
    "path": "backend/apps/conversation_management_app.py",
    "content": "import logging\nfrom http import HTTPStatus\nfrom typing import Any, Dict, Optional\n\nfrom fastapi import APIRouter, Header, HTTPException, Request\n\nfrom consts.model import (\n    ConversationRequest,\n    ConversationResponse,\n    GenerateTitleRequest,\n    MessageIdRequest,\n    OpinionRequest,\n    RenameRequest,\n)\nfrom services.conversation_management_service import (\n    create_new_conversation,\n    delete_conversation_service,\n    generate_conversation_title_service,\n    get_conversation_history_service,\n    get_conversation_list_service,\n    get_sources_service,\n    rename_conversation_service,\n    update_message_opinion_service, get_message_id_by_index_impl,\n)\nfrom utils.auth_utils import get_current_user_id, get_current_user_info\n\nrouter = APIRouter(prefix=\"/conversation\")\n\n\n@router.put(\"/create\", response_model=ConversationResponse)\nasync def create_new_conversation_endpoint(request: ConversationRequest, authorization: Optional[str] = Header(None)):\n    \"\"\"\n    Create a new conversation\n\n    Args:\n        request: ConversationRequest object containing:\n            - title: Conversation title, default is \"New Conversation\"\n        authorization: Authorization header\n\n    Returns:\n        ConversationResponse object containing:\n            - conversation_id: Conversation ID\n            - conversation_title: Conversation title\n            - create_time: Creation timestamp (milliseconds)\n            - update_time: Update timestamp (milliseconds)\n    \"\"\"\n    try:\n        user_id, tenant_id = get_current_user_id(authorization)\n        conversation_data = create_new_conversation(request.title, user_id)\n        return ConversationResponse(code=0, message=\"success\", data=conversation_data)\n    except Exception as e:\n        logging.error(f\"Failed to create conversation: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=str(e))\n\n\n@router.get(\"/list\", response_model=ConversationResponse)\nasync def list_conversations_endpoint(authorization: Optional[str] = Header(None)):\n    \"\"\"\n    Get all conversation list\n\n    Args:\n        authorization: Authorization header\n\n    Returns:\n        ConversationResponse object containing conversation list\n    \"\"\"\n    try:\n        user_id, tenant_id = get_current_user_id(authorization)\n        if not user_id:\n            raise HTTPException(status_code=HTTPStatus.UNAUTHORIZED, detail=\"Unauthorized access, Please login first\")\n        conversations = get_conversation_list_service(user_id)\n        return ConversationResponse(code=0, message=\"success\", data=conversations)\n    except Exception as e:\n        logging.error(f\"Failed to get conversation list: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=str(e))\n\n\n@router.post(\"/rename\", response_model=ConversationResponse)\nasync def rename_conversation_endpoint(request: RenameRequest, authorization: Optional[str] = Header(None)):\n    \"\"\"\n    Rename a conversation\n\n    Args:\n        request: RenameRequest object containing:\n            - conversation_id: Conversation ID\n            - name: New conversation title\n        authorization: Authorization header\n\n    Returns:\n        ConversationResponse object\n    \"\"\"\n    try:\n        user_id, tenant_id = get_current_user_id(authorization)\n        rename_conversation_service(\n            request.conversation_id, request.name, user_id)\n        return ConversationResponse(code=0, message=\"success\", data=True)\n    except Exception as e:\n        logging.error(f\"Failed to rename conversation: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=str(e))\n\n\n@router.delete(\"/{conversation_id}\", response_model=ConversationResponse)\nasync def delete_conversation_endpoint(conversation_id: int, authorization: Optional[str] = Header(None)):\n    \"\"\"\n    Delete specified conversation\n\n    Args:\n        conversation_id: Conversation ID to delete\n        authorization: Authorization header\n\n    Returns:\n        ConversationResponse object\n    \"\"\"\n    try:\n        user_id, tenant_id = get_current_user_id(authorization)\n        delete_conversation_service(conversation_id, user_id)\n        return ConversationResponse(code=0, message=\"success\", data=True)\n    except Exception as e:\n        logging.error(f\"Failed to delete conversation: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=str(e))\n\n\n@router.get(\"/{conversation_id}\", response_model=ConversationResponse)\nasync def get_conversation_history_endpoint(conversation_id: int, authorization: Optional[str] = Header(None)):\n    \"\"\"\n    Get complete history of specified conversation\n\n    Args:\n        conversation_id: Conversation ID\n        authorization: Authorization header\n\n    Returns:\n        ConversationResponse object containing conversation history\n    \"\"\"\n    try:\n        user_id, tenant_id = get_current_user_id(authorization)\n        history_data = get_conversation_history_service(\n            conversation_id, user_id)\n        return ConversationResponse(code=0, message=\"success\", data=history_data)\n    except Exception as e:\n        logging.error(f\"Failed to get conversation history: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=str(e))\n\n\n@router.post(\"/sources\", response_model=Dict[str, Any])\nasync def get_sources_endpoint(request: Dict[str, Any], authorization: Optional[str] = Header(None)):\n    \"\"\"\n    Get message source information (images and search results)\n\n    Args:\n        request: Request body containing optional fields:\n            - conversation_id: Conversation ID\n            - message_id: Message ID\n            - type: Source type, default is \"all\", options are \"image\", \"search\", or \"all\"\n        authorization: Authorization header\n\n    Returns:\n        Dict containing source information\n    \"\"\"\n    try:\n        user_id, tenant_id = get_current_user_id(authorization)\n        conversation_id = request.get(\"conversation_id\")\n        message_id = request.get(\"message_id\")\n        source_type = request.get(\"type\", \"all\")\n        return get_sources_service(conversation_id, message_id, source_type, user_id)\n    except Exception as e:\n        logging.error(f\"Failed to get message sources: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=str(e))\n\n\n@router.post(\"/generate_title\", response_model=ConversationResponse)\nasync def generate_conversation_title_endpoint(\n        request: GenerateTitleRequest,\n        http_request: Request,\n        authorization: Optional[str] = Header(None)\n):\n    \"\"\"\n    Generate conversation title from user question\n\n    This endpoint generates title immediately after user sends a message,\n    using only the question content instead of waiting for full conversation.\n\n    Args:\n        request: GenerateTitleRequest object containing:\n            - conversation_id: Conversation ID\n            - question: User's question content\n        http_request: http request containing language info\n        authorization: Authorization header\n\n    Returns:\n        ConversationResponse object containing generated title\n    \"\"\"\n    try:\n        user_id, tenant_id, language = get_current_user_info(\n            authorization=authorization, request=http_request)\n        title = await generate_conversation_title_service(\n            request.conversation_id, request.question, user_id, tenant_id=tenant_id, language=language)\n        return ConversationResponse(code=0, message=\"success\", data=title)\n    except Exception as e:\n        logging.error(f\"Failed to generate conversation title: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=str(e))\n\n\n@router.post(\"/message/update_opinion\", response_model=ConversationResponse)\nasync def update_opinion_endpoint(request: OpinionRequest, authorization: Optional[str] = Header(None)):\n    \"\"\"\n    Update message like/dislike status\n\n    Args:\n        request: OpinionRequest object containing message_id and opinion\n        authorization: Authorization header\n\n    Returns:\n        ConversationResponse object\n    \"\"\"\n    try:\n        update_message_opinion_service(request.message_id, request.opinion)\n        return ConversationResponse(code=0, message=\"success\", data=True)\n    except Exception as e:\n        logging.error(f\"Failed to update message like/dislike: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=str(e))\n\n\n@router.post(\"/message/id\", response_model=ConversationResponse)\nasync def get_message_id_endpoint(request: MessageIdRequest):\n    \"\"\"\n    Get message ID by conversation ID and message index\n\n    Args:\n        request: MessageIdRequest object containing:\n            - conversation_id: Conversation ID\n            - message_index: Message index\n\n    Returns:\n        ConversationResponse object containing message_id\n    \"\"\"\n    try:\n        message_id = await get_message_id_by_index_impl(request.conversation_id, request.message_index)\n        return ConversationResponse(code=0, message=\"success\", data=message_id)\n    except Exception as e:\n        logging.error(f\"Failed to get message ID: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=str(e))\n"
  },
  {
    "path": "backend/apps/data_process_app.py",
    "content": "import logging\nfrom contextlib import asynccontextmanager\nfrom http import HTTPStatus\nfrom typing import Optional\n\nfrom fastapi import APIRouter, File, Form, Header, HTTPException, UploadFile\nfrom fastapi.responses import JSONResponse\n\nfrom consts.model import (\n    BatchTaskRequest,\n    ConvertStateRequest,\n    TaskRequest,\n)\nfrom consts.exceptions import OfficeConversionException\nfrom data_process.tasks import process_and_forward, process_sync\nfrom services.data_process_service import get_data_process_service\n\nlogger = logging.getLogger(\"data_process.app\")\n\n# Use shared service instance\nservice = get_data_process_service()\n\n\n@asynccontextmanager\nasync def lifespan(app: APIRouter):\n    # Startup\n    try:\n        await service.start()\n        yield\n    finally:\n        # Shutdown\n        await service.stop()\n\n\nrouter = APIRouter(\n    prefix=\"/tasks\",\n    lifespan=lifespan\n)\n\n\n@router.post(\"\")\nasync def create_task(request: TaskRequest, authorization: Optional[str] = Header(None)):\n    \"\"\"\n    Create a new data processing task (Process → Forward chain)\n\n    Returns task ID immediately. Processing happens in the background.\n    Tasks are forwarded to Elasticsearch when complete.\n    \"\"\"\n    # Create task using the new process_and_forward task\n\n    logger.info(\n        f\"Creating task with source_type: {request.source_type}, model_id: {request.embedding_model_id}\")\n    task_result = process_and_forward.delay(\n        source=request.source,\n        source_type=request.source_type,\n        chunking_strategy=request.chunking_strategy,\n        index_name=request.index_name,\n        original_filename=request.original_filename,\n        authorization=authorization,\n        embedding_model_id=request.embedding_model_id,\n        tenant_id=request.tenant_id\n    )\n    return JSONResponse(status_code=HTTPStatus.CREATED, content={\"task_id\": task_result.id})\n\n\n@router.post(\"/process\")\nasync def process_sync_endpoint(\n        source: str = Form(...),\n        source_type: str = Form(...),\n        chunking_strategy: str = Form(\"basic\"),\n        timeout: int = Form(30)\n):\n    \"\"\"\n    Process a file synchronously and return extracted text immediately\n\n    This endpoint provides real-time file processing for immediate text extraction.\n    Uses high-priority processing queue for fast response.\n\n    Parameters:\n        source: File path, URL, or text content to process\n        source_type: Type of source (\"local\", \"minio\")\n        chunking_strategy: Strategy for chunking the document\n        timeout: Maximum time to wait for processing (seconds)\n\n    Returns:\n        JSON object containing extracted text and metadata\n    \"\"\"\n    try:\n        # Use the synchronous process task with high priority\n        task_result = process_sync.apply_async(\n            kwargs={\n                'source': source,\n                'source_type': source_type,\n                'chunking_strategy': chunking_strategy,\n                'timeout': timeout\n            },\n            priority=0,  # High priority for real-time processing\n            queue='process_q'\n        )\n        # Wait for the result with timeout\n        result = task_result.get(timeout=timeout)\n        return JSONResponse(\n            status_code=HTTPStatus.OK,\n            content={\n                \"success\": True,\n                \"task_id\": task_result.id,\n                \"source\": source,\n                \"text\": result.get(\"text\", \"\"),\n                \"chunks\": result.get(\"chunks\", []),\n                \"chunks_count\": result.get(\"chunks_count\", 0),\n                \"processing_time\": result.get(\"processing_time\", 0),\n                \"text_length\": result.get(\"text_length\", 0)\n            }\n        )\n    except HTTPException:\n        # Preserve explicit HTTP errors\n        raise\n    except Exception as e:\n        logger.error(f\"Error in synchronous processing: {str(e)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n            detail=f\"Error processing file: {str(e)}\"\n        )\n\n\n@router.post(\"/batch\")\nasync def create_batch_tasks(request: BatchTaskRequest, authorization: Optional[str] = Header(None)):\n    \"\"\"\n    Create multiple data processing tasks at once (individual Process → Forward chains)\n\n    Returns list of task IDs immediately. Each file gets its own task for better status tracking.\n    Processing happens in the background for each file independently.\n    \"\"\"\n    try:\n        task_ids = await service.create_batch_tasks_impl(authorization=authorization, request=request)\n        return JSONResponse(status_code=HTTPStatus.CREATED, content={\"task_ids\": task_ids})\n    except HTTPException:\n        raise\n    except Exception as e:\n        logger.error(f\"Error creating batch tasks: {str(e)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=f\"Failed to create batch tasks: {str(e)}\")\n\n\n@router.get(\"/load_image\")\nasync def load_image(url: str):\n    \"\"\"\n    Load an image from URL and return it as base64 encoded data\n\n    Parameters:\n        url: Image URL to load\n\n    Returns:\n        JSON object containing base64 encoded image data and content type\n    \"\"\"\n    try:\n        # Use the service to load the image\n        image = await service.load_image(url)\n\n        if image is None:\n            raise HTTPException(\n                status_code=HTTPStatus.NOT_FOUND, detail=\"Failed to load image or image format not supported\")\n\n        image_data, content_type = await service.convert_to_base64(image)\n        return JSONResponse(status_code=HTTPStatus.OK,\n                            content={\"success\": True, \"base64\": image_data, \"content_type\": content_type})\n    except HTTPException:\n        raise\n    except Exception as e:\n        logger.error(f\"Error loading image: {str(e)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=f\"Error loading image: {str(e)}\")\n\n\n@router.get(\"\")\nasync def list_tasks():\n    \"\"\"Get a list of all tasks with their basic status information\"\"\"\n    tasks = await service.get_all_tasks()\n\n    task_responses = []\n    for task in tasks:\n        task_responses.append({\n            \"id\": task[\"id\"],\n            \"task_name\": task[\"task_name\"],\n            \"index_name\": task[\"index_name\"],\n            \"path_or_url\": task[\"path_or_url\"],\n            \"original_filename\": task[\"original_filename\"],\n            \"status\": task[\"status\"],\n            \"created_at\": task[\"created_at\"],\n            \"updated_at\": task[\"updated_at\"],\n            \"error\": task[\"error\"]\n        })\n\n    return JSONResponse(\n        status_code=HTTPStatus.OK,\n        content={\"tasks\": task_responses}\n    )\n\n\n@router.get(\"/indices/{index_name}\")\nasync def get_index_tasks(index_name: str):\n    \"\"\"\n    Get all active tasks for a specific index\n\n    Returns tasks that are being processed or waiting to be processed\n    \"\"\"\n    try:\n        return await service.get_index_tasks(index_name)\n    except Exception as e:\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=str(e))\n\n\n@router.get(\"/{task_id}/details\")\nasync def get_task_details(task_id: str):\n    \"\"\"Get detailed information about a task, including results\"\"\"\n    task = await service.get_task_details(task_id)\n    if not task:\n        raise HTTPException(status_code=HTTPStatus.NOT_FOUND,\n                            detail=\"Task not found\")\n    return task\n\n\n@router.post(\"/filter_important_image\")\nasync def filter_important_image(\n        image_url: str = Form(...),\n        positive_prompt: str = Form(\"an important image\"),\n        negative_prompt: str = Form(\"an unimportant image\")\n):\n    \"\"\"\n    Check if an image is important\n\n    Uses AI to determine image importance based on provided prompts.\n    Returns importance score and confidence level.\n    \"\"\"\n    try:\n        result = await service.filter_important_image(\n            image_url=image_url,\n            positive_prompt=positive_prompt,\n            negative_prompt=negative_prompt\n        )\n        return JSONResponse(\n            status_code=HTTPStatus.OK,\n            content=result\n        )\n    except HTTPException:\n        raise\n    except Exception as e:\n        logger.error(f\"Error processing image: {str(e)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=f\"Error processing image: {str(e)}\")\n\n\n@router.post(\"/process_text_file\")\nasync def process_text_file(\n        file: UploadFile = File(...),\n        chunking_strategy: str = Form(\"basic\")\n):\n    \"\"\"\n    Transfer the uploaded file to text content using SDK DataProcessCore\n\n    This interface is specifically used for file-to-text conversion, supporting multiple file formats including PDF, Word, Excel, etc.\n    Uses DataProcessCore from SDK for direct in-memory processing.\n\n    Returns a JSON object containing the extracted text and metadata.\n    \"\"\"\n    try:\n        logger.info(\n            f\"Processing uploaded file: {file.filename} using SDK DataProcessCore\")\n\n        file_content = await file.read()\n        filename = file.filename or \"unknown_file\"\n\n        result = await service.process_uploaded_text_file(\n            file_content=file_content,\n            filename=filename,\n            chunking_strategy=chunking_strategy,\n        )\n        return JSONResponse(content=result)\n    except HTTPException:\n        raise\n    except Exception as e:\n        logger.exception(\n            f\"Error processing uploaded file {file.filename}: {str(e)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n            detail=f\"An error occurred while processing the file: {str(e)}\"\n        )\n\n\n@router.post(\"/convert_state\")\nasync def convert_state(request: ConvertStateRequest):\n    \"\"\"\n    Convert process state to forward state\n\n    This endpoint converts a process state string to a forward state string.\n    \"\"\"\n    try:\n        result = service.convert_celery_states_to_custom(\n            process_celery_state=request.process_state or \"\",\n            forward_celery_state=request.forward_state or \"\"\n        )\n        return JSONResponse(\n            status_code=HTTPStatus.OK,\n            content={\"state\": result}\n        )\n    except HTTPException:\n        raise\n    except Exception as e:\n        logger.error(f\"Error converting state: {str(e)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n            detail=f\"Error converting state: {str(e)}\"\n        )\n\n\n@router.post(\"/convert_to_pdf\")\nasync def convert_office_to_pdf(\n        object_name: str = Form(...),\n        pdf_object_name: str = Form(...)\n):\n    \"\"\"\n    Convert an Office document stored in MinIO to PDF.\n\n    Parameters:\n        object_name: Source Office file path in MinIO\n        pdf_object_name: Destination PDF path in MinIO\n    \"\"\"\n    try:\n        await service.convert_office_to_pdf_impl(\n            object_name=object_name,\n            pdf_object_name=pdf_object_name,\n        )\n        return JSONResponse(status_code=HTTPStatus.OK, content={\"success\": True})\n    except OfficeConversionException as exc:\n        logger.error(f\"Office conversion failed for '{object_name}': {exc}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n            detail=str(exc)\n        )\n    except Exception as exc:\n        logger.error(f\"Unexpected error during conversion for '{object_name}': {exc}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n            detail=f\"Office conversion failed: {exc}\"\n        )\n"
  },
  {
    "path": "backend/apps/datamate_app.py",
    "content": "import logging\nfrom typing import Optional\n\nfrom fastapi import APIRouter, Header, HTTPException, Path\nfrom fastapi.responses import JSONResponse\nfrom fastapi import Body\nfrom pydantic import BaseModel\nfrom http import HTTPStatus\n\nfrom services.datamate_service import (\n    sync_datamate_knowledge_bases_and_create_records,\n    fetch_datamate_knowledge_base_file_list,\n    check_datamate_connection\n)\nfrom utils.auth_utils import get_current_user_id\nfrom consts.exceptions import DataMateConnectionError\n\nrouter = APIRouter(prefix=\"/datamate\")\nlogger = logging.getLogger(\"datamate_app\")\n\n\nclass SyncDatamateRequest(BaseModel):\n    \"\"\"Request body for syncing DataMate knowledge bases.\"\"\"\n    datamate_url: Optional[str] = None\n\n\n@router.post(\"/sync_datamate_knowledges\")\nasync def sync_datamate_knowledges(\n    authorization: Optional[str] = Header(None),\n    request: SyncDatamateRequest = Body(None)\n):\n    \"\"\"Sync DataMate knowledge bases and create knowledge records in local database.\"\"\"\n    try:\n        user_id, tenant_id = get_current_user_id(authorization)\n\n        return await sync_datamate_knowledge_bases_and_create_records(\n            tenant_id=tenant_id,\n            user_id=user_id,\n            datamate_url=request.datamate_url if request else None\n        )\n    except DataMateConnectionError as e:\n        raise HTTPException(\n            status_code=HTTPStatus.BAD_REQUEST, detail=str(e))\n    except Exception as e:\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=f\"Error syncing DataMate knowledge bases and creating records: {str(e)}\")\n\n\n@router.get(\"/{knowledge_base_id}/files\")\nasync def get_datamate_knowledge_base_files_endpoint(\n    knowledge_base_id: str = Path(...,\n                                  description=\"ID of the DataMate knowledge base\"),\n    authorization: Optional[str] = Header(None)\n):\n    \"\"\"Get all files from a specific DataMate knowledge base.\"\"\"\n    try:\n        user_id, tenant_id = get_current_user_id(authorization)\n        result = await fetch_datamate_knowledge_base_file_list(knowledge_base_id, tenant_id)\n        return JSONResponse(status_code=HTTPStatus.OK, content=result)\n    except Exception as e:\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=f\"Error fetching DataMate knowledge base files: {str(e)}\")\n\n\n@router.post(\"/test_connection\")\nasync def test_datamate_connection_endpoint(\n    authorization: Optional[str] = Header(None),\n    request: SyncDatamateRequest = Body(None)\n):\n    \"\"\"\n    Test connection to DataMate server.\n\n    Returns:\n        JSON with success status and message\n    \"\"\"\n    try:\n        user_id, tenant_id = get_current_user_id(authorization)\n        datamate_url = request.datamate_url if request else None\n\n        # Test the connection\n        is_connected, error_message = await check_datamate_connection(tenant_id, datamate_url)\n\n        if is_connected:\n            return JSONResponse(\n                status_code=HTTPStatus.OK,\n                content={\"success\": True, \"message\": \"Connection successful\"}\n            )\n        else:\n            raise HTTPException(\n                status_code=HTTPStatus.BAD_REQUEST,\n                detail=f\"Cannot connect to DataMate server: {error_message}\"\n            )\n    except HTTPException:\n        raise\n    except Exception as e:\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n            detail=f\"Error testing DataMate connection: {str(e)}\"\n        )\n"
  },
  {
    "path": "backend/apps/dify_app.py",
    "content": "\"\"\"\nDify App Layer\nFastAPI endpoints for Dify knowledge base operations.\n\nThis module provides API endpoints to interact with Dify's datasets API,\nincluding fetching knowledge bases and transforming responses to a format\ncompatible with the frontend.\n\"\"\"\nimport logging\nfrom http import HTTPStatus\nfrom typing import Optional\n\nfrom fastapi import APIRouter, Header, HTTPException, Query\nfrom fastapi.responses import JSONResponse\n\nfrom consts.error_code import ErrorCode\nfrom consts.exceptions import AppException\nfrom services.dify_service import fetch_dify_datasets_impl\nfrom utils.auth_utils import get_current_user_id\n\nrouter = APIRouter(prefix=\"/dify\")\nlogger = logging.getLogger(\"dify_app\")\n\n\n@router.get(\"/datasets\")\nasync def fetch_dify_datasets_api(\n    dify_api_base: str = Query(..., description=\"Dify API base URL\"),\n    api_key: str = Query(..., description=\"Dify API key\"),\n    authorization: Optional[str] = Header(None)\n):\n    \"\"\"\n    Fetch datasets (knowledge bases) from Dify API.\n\n    Returns knowledge bases in a format consistent with DataMate for frontend compatibility.\n    \"\"\"\n    try:\n        # Normalize URL by removing trailing slash\n        dify_api_base = dify_api_base.rstrip('/')\n    except Exception as e:\n        logger.error(f\"Invalid Dify configuration: {e}\")\n        raise AppException(ErrorCode.DIFY_CONFIG_INVALID,\n                           f\"Invalid URL format: {str(e)}\")\n\n\n    try:\n        result = fetch_dify_datasets_impl(\n            dify_api_base=dify_api_base,\n            api_key=api_key,\n        )\n        return JSONResponse(\n            status_code=HTTPStatus.OK,\n            content=result\n        )\n    except AppException:\n        # Re-raise AppException to be handled by global middleware\n        raise\n    except Exception as e:\n        logger.error(f\"Failed to fetch Dify datasets: {e}\")\n        raise AppException(ErrorCode.DIFY_SERVICE_ERROR,\n                           f\"Failed to fetch Dify datasets: {str(e)}\")\n"
  },
  {
    "path": "backend/apps/file_management_app.py",
    "content": "import logging\nimport re\nimport base64\nfrom http import HTTPStatus\nfrom typing import List, Optional\nfrom urllib.parse import urlparse, urlunparse, unquote, quote\n\nimport httpx\nfrom fastapi import APIRouter, Body, File, Form, Header, HTTPException, Path as PathParam, Query, UploadFile\nfrom fastapi.responses import JSONResponse, RedirectResponse, StreamingResponse\n\nfrom consts.exceptions import FileTooLargeException, NotFoundException, OfficeConversionException, UnsupportedFileTypeException\nfrom consts.model import ProcessParams\nfrom services.file_management_service import upload_to_minio, upload_files_impl, \\\n    get_file_url_impl, get_file_stream_impl, delete_file_impl, list_files_impl, \\\n    preview_file_impl\nfrom utils.file_management_utils import trigger_data_process\n\nlogger = logging.getLogger(\"file_management_app\")\n\n\ndef build_content_disposition_header(filename: Optional[str], inline: bool = False) -> str:\n    \"\"\"\n    Build a Content-Disposition header that keeps the original filename.\n\n    Args:\n        filename: Original filename to include in header\n        inline: If True, use 'inline' disposition (for preview); otherwise 'attachment' (for download)\n\n    - ASCII filenames are returned directly.\n    - Non-ASCII filenames include both an ASCII fallback and RFC 5987 encoded value\n      so modern browsers keep the original name.\n    \"\"\"\n    disposition = \"inline\" if inline else \"attachment\"\n    safe_name = (filename or \"download\").strip() or \"download\"\n\n    def _sanitize_ascii(value: str) -> str:\n        # Replace problematic characters that break HTTP headers\n        # Remove control characters (newlines, carriage returns, tabs, etc.)\n        # Remove control characters (0x00-0x1F and 0x7F)\n        sanitized = re.sub(r'[\\x00-\\x1F\\x7F]', '', value)\n        # Replace problematic characters that break HTTP headers\n        sanitized = sanitized.replace(\"\\\\\", \"_\").replace('\"', \"_\")\n        # Remove leading/trailing spaces and dots (Windows filename restrictions)\n        sanitized = sanitized.strip(' .')\n        return sanitized if sanitized else \"download\"\n\n    try:\n        safe_name.encode(\"ascii\")\n        return f'{disposition}; filename=\"{_sanitize_ascii(safe_name)}\"'\n    except UnicodeEncodeError:\n        try:\n            encoded = quote(safe_name, safe=\"\")\n        except Exception:\n            # quote failure, fallback to sanitized ASCII only\n            logger.warning(\"Failed to encode filename '%s', using fallback\", safe_name)\n            return f'{disposition}; filename=\"{_sanitize_ascii(safe_name)}\"'\n\n        fallback = _sanitize_ascii(\n            safe_name.encode(\"ascii\", \"ignore\").decode(\"ascii\") or \"download\"\n        )\n        return f'{disposition}; filename=\"{fallback}\"; filename*=UTF-8\\'\\'{encoded}'\n    except Exception as exc:  # pragma: no cover\n        logger.warning(\n            \"Failed to encode filename '%s': %s. Using fallback.\",\n            safe_name,\n            exc,\n        )\n        return f'{disposition}; filename=\"download\"'\n\n# Create API router\nfile_management_runtime_router = APIRouter(prefix=\"/file\")\nfile_management_config_router = APIRouter(prefix=\"/file\")\n\n\n# Handle preflight requests\n@file_management_config_router.options(\"/{full_path:path}\")\nasync def options_route(full_path: str):\n    return JSONResponse(\n        status_code=HTTPStatus.OK,\n        content={\"detail\": \"OK\"},\n    )\n\n\n@file_management_config_router.post(\"/upload\")\nasync def upload_files(\n        file: List[UploadFile] = File(..., alias=\"file\"),\n        destination: str = Form(...,\n                                description=\"Upload destination: 'local' or 'minio'\"),\n        folder: str = Form(\n            \"attachments\", description=\"Storage folder path for MinIO (optional)\"),\n        index_name: Optional[str] = Form(\n            None, description=\"Knowledge base index for conflict resolution\")\n):\n    if not file:\n        raise HTTPException(status_code=HTTPStatus.BAD_REQUEST,\n                            detail=\"No files in the request\")\n\n    errors, uploaded_file_paths, uploaded_filenames = await upload_files_impl(destination, file, folder, index_name)\n\n    if uploaded_file_paths:\n        return JSONResponse(\n            status_code=HTTPStatus.OK,\n            content={\n                \"message\": f\"Files uploaded successfully to {destination}, ready for processing.\",\n                \"uploaded_filenames\": uploaded_filenames,\n                \"uploaded_file_paths\": uploaded_file_paths,\n                \"errors\": errors\n            }\n        )\n    else:\n        raise HTTPException(status_code=HTTPStatus.BAD_REQUEST,\n                            detail=\"No valid files uploaded\")\n\n\n@file_management_config_router.post(\"/process\")\nasync def process_files(\n        files: List[dict] = Body(\n            ..., description=\"List of file details to process, including path_or_url and filename\"),\n        chunking_strategy: Optional[str] = Body(\"basic\"),\n        index_name: str = Body(...),\n        destination: str = Body(...),\n        authorization: Optional[str] = Header(None)\n):\n    \"\"\"\n    Trigger data processing for a list of uploaded files.\n    files: List of dicts, each with \"path_or_url\" and \"filename\"\n    chunking_strategy: chunking strategy, could be chosen from basic/by_title/none\n    index_name: index name in elasticsearch\n    destination: 'local' or 'minio'\n    \"\"\"\n    process_params = ProcessParams(\n        chunking_strategy=chunking_strategy,\n        source_type=destination,\n        index_name=index_name,\n        authorization=authorization\n    )\n\n    process_result = await trigger_data_process(files, process_params)\n\n    if process_result is None or (isinstance(process_result, dict) and process_result.get(\"status\") == \"error\"):\n        error_message = \"Data process service failed\"\n        if isinstance(process_result, dict) and \"message\" in process_result:\n            error_message = process_result[\"message\"]\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=error_message)\n\n    return JSONResponse(\n        status_code=HTTPStatus.CREATED,\n        content={\n            \"message\": \"Files processing triggered successfully\",\n            \"process_tasks\": process_result\n        }\n    )\n\n\n@file_management_config_router.get(\"/download/{object_name:path}\")\nasync def get_storage_file(\n    object_name: str = PathParam(..., description=\"File object name\"),\n    download: str = Query(\n        \"ignore\",\n        description=(\n            \"How to get the file: \"\n            \"'ignore' (default, return file info), \"\n            \"'stream' (return file stream), \"\n            \"'redirect' (redirect to download URL), \"\n            \"'base64' (return base64-encoded content for images).\"\n        ),\n    ),\n    expires: int = Query(3600, description=\"URL validity period (seconds)\"),\n    filename: Optional[str] = Query(None, description=\"Original filename for download (optional)\")\n):\n    \"\"\"\n    Get information, download link, or file stream for a single file\n\n    - **object_name**: File object name\n    - **download**: Download mode: ignore (default, return file info), stream (return file stream), redirect (redirect to download URL)\n    - **expires**: URL validity period in seconds (default 3600)\n    - **filename**: Original filename for download (optional, if not provided, will use object_name)\n\n    Returns file information, download link, or file content\n    \"\"\"\n    try:\n        logger.info(f\"[get_storage_file] Route matched! object_name={object_name}, download={download}, filename={filename}\")\n        if download == \"redirect\":\n            # return a redirect download URL\n            result = await get_file_url_impl(object_name=object_name, expires=expires)\n            return RedirectResponse(url=result[\"url\"])\n        elif download == \"stream\":\n            # return a readable file stream\n            file_stream, content_type = await get_file_stream_impl(object_name=object_name)\n            logger.info(f\"Streaming file: object_name={object_name}, content_type={content_type}\")\n            \n            # Use provided filename or extract from object_name\n            download_filename = filename\n            if not download_filename:\n                # Extract filename from object_name (get the last part after the last slash)\n                download_filename = object_name.split(\"/\")[-1] if \"/\" in object_name else object_name\n            \n            # Build Content-Disposition header with proper encoding for non-ASCII characters\n            content_disposition = build_content_disposition_header(download_filename)\n            \n            return StreamingResponse(\n                file_stream,\n                media_type=content_type,\n                headers={\n                    \"Content-Disposition\": content_disposition,\n                    \"Cache-Control\": \"public, max-age=3600\",\n                    \"ETag\": f'\"{object_name}\"',\n                }\n            )\n        elif download == \"base64\":\n            # Return base64 encoded file content (primarily for images)\n            file_stream, content_type = await get_file_stream_impl(object_name=object_name)\n            try:\n                data = file_stream.read()\n            except Exception as exc:\n                logger.error(\"Failed to read file stream for base64: %s\", str(exc))\n                raise HTTPException(\n                    status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n                    detail=\"Failed to read file content for base64 encoding\",\n                )\n\n            base64_content = base64.b64encode(data).decode(\"utf-8\")\n            return JSONResponse(\n                status_code=HTTPStatus.OK,\n                content={\n                    \"success\": True,\n                    \"base64\": base64_content,\n                    \"content_type\": content_type,\n                    \"object_name\": object_name,\n                },\n            )\n        else:\n            # return file metadata\n            return await get_file_url_impl(object_name=object_name, expires=expires)\n    except Exception as e:\n        logger.error(f\"Failed to get file: object_name={object_name}, error={str(e)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n            detail=f\"Failed to get file information: {str(e)}\"\n        )\n\n\n\n@file_management_runtime_router.post(\"/storage\")\nasync def storage_upload_files(\n    files: List[UploadFile] = File(..., description=\"List of files to upload\"),\n    folder: str = Form(\n        \"attachments\", description=\"Storage folder path (optional)\")\n):\n    \"\"\"\n    Upload one or more files to MinIO storage\n\n    - **files**: List of files to upload\n    - **folder**: Storage folder path (optional, defaults to 'attachments')\n\n    Returns upload results including file information and access URLs\n    \"\"\"\n    results = await upload_to_minio(files=files, folder=folder)\n\n    # Return upload results for all files\n    return {\n        \"message\": f\"Processed {len(results)} files\",\n        \"success_count\": sum(1 for r in results if r.get(\"success\", False)),\n        \"failed_count\": sum(1 for r in results if not r.get(\"success\", False)),\n        \"results\": results\n    }\n\n\n@file_management_config_router.get(\"/storage\")\nasync def get_storage_files(\n    prefix: str = Query(\"\", description=\"File prefix filter\"),\n    limit: int = Query(100, description=\"Maximum number of files to return\"),\n    include_urls: bool = Query(\n        True, description=\"Whether to include presigned URLs\")\n):\n    \"\"\"\n    Get list of files from MinIO storage\n\n    - **prefix**: File prefix filter (optional)\n    - **limit**: Maximum number of files to return (default 100)\n    - **include_urls**: Whether to include presigned URLs (default True)\n\n    Returns file list and metadata\n    \"\"\"\n    try:\n        files = await list_files_impl(prefix, limit)\n        # Remove URLs if not needed\n        if not include_urls:\n            for file in files:\n                if \"url\" in file:\n                    del file[\"url\"]\n\n        return {\n            \"total\": len(files),\n            \"files\": files\n        }\n    except Exception as e:\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n            detail=f\"Failed to get file list: {str(e)}\"\n        )\n\n\ndef _ensure_http_scheme(raw_url: str) -> str:\n    \"\"\"\n    Ensure the provided Datamate URL has an explicit HTTP or HTTPS scheme.\n    \"\"\"\n    candidate = (raw_url or \"\").strip()\n    if not candidate:\n        raise HTTPException(\n            status_code=HTTPStatus.BAD_REQUEST,\n            detail=\"URL cannot be empty\"\n        )\n\n    parsed = urlparse(candidate)\n    if parsed.scheme:\n        if parsed.scheme not in (\"http\", \"https\"):\n            raise HTTPException(\n                status_code=HTTPStatus.BAD_REQUEST,\n                detail=\"URL must start with http:// or https://\"\n            )\n        return candidate\n\n    if candidate.startswith(\"//\"):\n        return f\"http:{candidate}\"\n\n    return f\"http://{candidate}\"\n\n\ndef _normalize_datamate_download_url(raw_url: str) -> str:\n    \"\"\"\n    Normalize Datamate download URL to ensure it follows /data-management/datasets/{datasetId}/files/{fileId}/download\n    \"\"\"\n    normalized_source = _ensure_http_scheme(raw_url)\n    parsed_url = urlparse(normalized_source)\n    path_segments = [segment for segment in parsed_url.path.split(\"/\") if segment]\n\n    if \"data-management\" not in path_segments:\n        raise HTTPException(\n            status_code=HTTPStatus.BAD_REQUEST,\n            detail=\"Invalid Datamate URL: missing 'data-management' segment\"\n        )\n\n    try:\n        dm_index = path_segments.index(\"data-management\")\n        datasets_index = path_segments.index(\"datasets\", dm_index)\n        dataset_id = path_segments[datasets_index + 1]\n        files_index = path_segments.index(\"files\", datasets_index)\n        file_id = path_segments[files_index + 1]\n    except (ValueError, IndexError):\n        raise HTTPException(\n            status_code=HTTPStatus.BAD_REQUEST,\n            detail=\"Invalid Datamate URL: unable to parse dataset_id or file_id\"\n        )\n\n    prefix_segments = path_segments[:dm_index]\n    prefix_path = \"/\" + \"/\".join(prefix_segments) if prefix_segments else \"\"\n    normalized_path = f\"{prefix_path}/data-management/datasets/{dataset_id}/files/{file_id}/download\"\n\n    normalized_url = urlunparse((\n        parsed_url.scheme,\n        parsed_url.netloc,\n        normalized_path,\n        \"\",\n        \"\",\n        \"\"\n    ))\n\n    return normalized_url\n\n\ndef _build_datamate_url_from_parts(base_url: str, dataset_id: str, file_id: str) -> str:\n    \"\"\"\n    Build Datamate download URL from individual parts\n    \"\"\"\n    if not base_url:\n        raise HTTPException(\n            status_code=HTTPStatus.BAD_REQUEST,\n            detail=\"base_url is required when dataset_id and file_id are provided\"\n        )\n\n    base_with_scheme = _ensure_http_scheme(base_url)\n    parsed_base = urlparse(base_with_scheme)\n    base_prefix = parsed_base.path.rstrip(\"/\")\n\n    if base_prefix and not base_prefix.endswith(\"/api\"):\n        if base_prefix.endswith(\"/\"):\n            base_prefix = f\"{base_prefix}api\"\n        else:\n            base_prefix = f\"{base_prefix}/api\"\n    elif not base_prefix:\n        base_prefix = \"/api\"\n\n    normalized_path = f\"{base_prefix}/data-management/datasets/{dataset_id}/files/{file_id}/download\"\n\n    return urlunparse((\n        parsed_base.scheme,\n        parsed_base.netloc,\n        normalized_path,\n        \"\",\n        \"\",\n        \"\"\n    ))\n\n\n@file_management_config_router.get(\"/datamate/download\")\nasync def download_datamate_file(\n    url: Optional[str] = Query(None, description=\"Datamate file URL to download\"),\n    base_url: Optional[str] = Query(None, description=\"Datamate base server URL (e.g., host:port)\"),\n    dataset_id: Optional[str] = Query(None, description=\"Datamate dataset ID\"),\n    file_id: Optional[str] = Query(None, description=\"Datamate file ID\"),\n    filename: Optional[str] = Query(None, description=\"Optional filename for download\"),\n    authorization: Optional[str] = Header(None, alias=\"Authorization\")\n):\n    \"\"\"\n    Download file from Datamate knowledge base via HTTP URL\n\n    - **url**: Full HTTP URL of the file to download (optional)\n    - **base_url**: Base server URL (e.g., host:port)\n    - **dataset_id**: Datamate dataset ID\n    - **file_id**: Datamate file ID\n    - **filename**: Optional filename for the download (extracted automatically if not provided)\n    - **authorization**: Optional authorizatio  n header to pass to the target URL\n\n    Returns file stream for download\n    \"\"\"\n    try:\n        if url:\n            logger.info(f\"[download_datamate_file] Using full URL: {url}\")\n            normalized_url = _normalize_datamate_download_url(url)\n        elif base_url and dataset_id and file_id:\n            logger.info(f\"[download_datamate_file] Building URL from parts: base_url={base_url}, dataset_id={dataset_id}, file_id={file_id}\")\n            normalized_url = _build_datamate_url_from_parts(base_url, dataset_id, file_id)\n        else:\n            raise HTTPException(\n                status_code=HTTPStatus.BAD_REQUEST,\n                detail=\"Either url or (base_url, dataset_id, file_id) must be provided\"\n            )\n\n        logger.info(f\"[download_datamate_file] Normalized download URL: {normalized_url}\")\n        logger.info(f\"[download_datamate_file] Authorization header present: {authorization is not None}\")\n\n        headers = {}\n        if authorization:\n            headers[\"Authorization\"] = authorization\n            logger.debug(f\"[download_datamate_file] Using authorization header: {authorization[:20]}...\")\n        headers[\"User-Agent\"] = \"Nexent-File-Downloader/1.0\"\n\n        logger.info(f\"[download_datamate_file] Request headers: {list(headers.keys())}\")\n\n        async with httpx.AsyncClient(timeout=30.0) as client:\n            response = await client.get(normalized_url, headers=headers, follow_redirects=True)\n            logger.info(f\"[download_datamate_file] Response status: {response.status_code}\")\n\n            if response.status_code == 404:\n                logger.error(f\"[download_datamate_file] File not found at URL: {normalized_url}\")\n                logger.error(f\"[download_datamate_file] Response headers: {dict(response.headers)}\")\n                raise HTTPException(\n                    status_code=HTTPStatus.NOT_FOUND,\n                    detail=\"File not found. Please verify dataset_id and file_id.\"\n                )\n\n            response.raise_for_status()\n\n            content_type = response.headers.get(\"Content-Type\", \"application/octet-stream\")\n\n            download_filename = filename\n            if not download_filename:\n                content_disposition = response.headers.get(\"Content-Disposition\", \"\")\n                if content_disposition:\n                    filename_match = re.search(r'filename=\"?(.+?)\"?$', content_disposition)\n                    if filename_match:\n                        download_filename = filename_match.group(1)\n\n                if not download_filename:\n                    path = unquote(urlparse(normalized_url).path)\n                    download_filename = path.split('/')[-1] or \"download\"\n\n            # Build Content-Disposition header with proper encoding for non-ASCII characters\n            content_disposition = build_content_disposition_header(download_filename)\n            \n            return StreamingResponse(\n                iter([response.content]),\n                media_type=content_type,\n                headers={\n                    \"Content-Disposition\": content_disposition\n                }\n            )\n    except httpx.HTTPError as e:\n        logger.error(f\"Failed to download file from URL {url}: {str(e)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.BAD_GATEWAY,\n            detail=f\"Failed to download file from URL: {str(e)}\"\n        )\n    except HTTPException:\n        raise\n    except Exception as e:\n        logger.error(f\"Failed to download datamate file: {str(e)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n            detail=f\"Failed to download file: {str(e)}\"\n        )\n\n\n@file_management_config_router.delete(\"/storage/{object_name:path}\")\nasync def remove_storage_file(\n    object_name: str = PathParam(..., description=\"File object name to delete\")\n):\n    \"\"\"\n    Delete file from MinIO storage\n\n    - **object_name**: File object name to delete\n\n    Returns deletion operation result\n    \"\"\"\n    try:\n        await delete_file_impl(object_name=object_name)\n        return {\n            \"success\": True,\n            \"message\": f\"File {object_name} successfully deleted\"\n        }\n    except Exception as e:\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n            detail=f\"Failed to delete file: {str(e)}\"\n        )\n\n\n@file_management_config_router.post(\"/storage/batch-urls\")\nasync def get_storage_file_batch_urls(\n    request_data: dict = Body(...,\n                              description=\"JSON containing list of file object names\"),\n    expires: int = Query(3600, description=\"URL validity period (seconds)\")\n):\n    \"\"\"\n    Batch get download URLs for multiple files (JSON request)\n\n    - **request_data**: JSON request body containing object_names list\n    - **expires**: URL validity period in seconds (default 3600)\n\n    Returns URL and status information for each file\n    \"\"\"\n    # Extract object_names from request body\n    object_names = request_data.get(\"object_names\", [])\n    if not object_names or not isinstance(object_names, list):\n        raise HTTPException(\n            status_code=400, detail=\"Request body must contain object_names array\")\n\n    results = []\n\n    for object_name in object_names:\n        try:\n            # Get file URL\n            result = get_file_url_impl(\n                object_name=object_name, expires=expires)\n            results.append({\n                \"object_name\": object_name,\n                \"success\": result[\"success\"],\n                \"url\": result.get(\"url\"),\n                \"error\": result.get(\"error\")\n            })\n        except Exception as e:\n            results.append({\n                \"object_name\": object_name,\n                \"success\": False,\n                \"error\": str(e)\n            })\n\n    return {\n        \"total\": len(results),\n        \"success_count\": sum(1 for r in results if r.get(\"success\", False)),\n        \"failed_count\": sum(1 for r in results if not r.get(\"success\", False)),\n        \"results\": results\n    }\n\n@file_management_config_router.get(\"/preview/{object_name:path}\")\nasync def preview_file(\n    object_name: str = PathParam(..., description=\"File object name to preview\"),\n    filename: Optional[str] = Query(None, description=\"Original filename for display (optional)\")\n):\n    \"\"\"\n    Preview file inline in browser \n    \n    - **object_name**: File object name in storage\n    - **filename**: Original filename for Content-Disposition header (optional)\n    \n    Returns file stream with Content-Disposition: inline for browser preview\n    \"\"\"\n    try:\n        # Get file stream from preview service\n        file_stream, content_type = await preview_file_impl(object_name=object_name)\n        \n        # Use provided filename or extract from object_name\n        display_filename = filename\n        if not display_filename:\n            display_filename = object_name.split(\"/\")[-1] if \"/\" in object_name else object_name\n        \n        # Build Content-Disposition header for inline display\n        content_disposition = build_content_disposition_header(display_filename, inline=True)\n\n        return StreamingResponse(\n            file_stream,\n            media_type=content_type,\n            headers={\n                \"Content-Disposition\": content_disposition,\n                \"Cache-Control\": \"public, max-age=3600\",\n                \"ETag\": f'\"{object_name}\"',\n            }\n        )\n    \n    except FileTooLargeException as e:\n        logger.warning(f\"[preview_file] File too large: object_name={object_name}, error={str(e)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.REQUEST_ENTITY_TOO_LARGE,\n            detail=str(e)\n        )\n    except NotFoundException as e:\n        logger.error(f\"[preview_file] File not found: object_name={object_name}, error={str(e)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.NOT_FOUND,\n            detail=f\"File not found: {object_name}\"\n        )\n    except UnsupportedFileTypeException as e:\n        logger.error(f\"[preview_file] Unsupported file type: object_name={object_name}, error={str(e)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.BAD_REQUEST,\n            detail=f\"File format not supported for preview: {str(e)}\"\n        )\n    except OfficeConversionException as e:\n        logger.error(f\"[preview_file] Conversion failed: object_name={object_name}, error={str(e)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n            detail=f\"Failed to preview file: {str(e)}\"\n        )\n    except Exception as e:\n        logger.error(f\"[preview_file] Unexpected error: object_name={object_name}, error={str(e)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n            detail=f\"Failed to preview file: {str(e)}\"\n        )"
  },
  {
    "path": "backend/apps/group_app.py",
    "content": "\"\"\"\nGroup management API endpoints\n\"\"\"\nimport logging\nfrom typing import Optional\n\nfrom fastapi import APIRouter, HTTPException, Header\nfrom http import HTTPStatus\nfrom starlette.responses import JSONResponse\n\nfrom consts.model import (\n    GroupCreateRequest, GroupUpdateRequest,\n    GroupUserRequest, GroupListRequest, SetDefaultGroupRequest,\n    GroupMembersUpdateRequest\n)\nfrom consts.exceptions import NotFoundException, ValidationError, UnauthorizedError\nfrom services.group_service import (\n    create_group, get_group_info, update_group, delete_group,\n    add_user_to_single_group, remove_user_from_single_group, get_group_users,\n    add_user_to_groups, get_tenant_default_group_id, set_tenant_default_group_id,\n    get_groups_by_tenant, update_group_members\n)\nfrom services.tenant_service import get_tenant_info\nfrom utils.auth_utils import get_current_user_id\n\nlogger = logging.getLogger(__name__)\nrouter = APIRouter(prefix=\"/groups\", tags=[\"groups\"])\n\n\n@router.post(\"\", response_model=None)\nasync def create_group_endpoint(\n    request: GroupCreateRequest,\n    authorization: Optional[str] = Header(None)\n) -> JSONResponse:\n    \"\"\"\n    Create a new group\n\n    Args:\n        request: Group creation request\n        authorization: Bearer token for authentication\n\n    Returns:\n        JSONResponse: Created group information\n    \"\"\"\n    try:\n        # Get current user ID from token\n        user_id, _ = get_current_user_id(authorization)\n\n        # Create group\n        group_info = create_group(\n            tenant_id=request.tenant_id,\n            group_name=request.group_name,\n            group_description=request.group_description,\n            user_id=user_id\n        )\n\n        logger.info(f\"Created group '{request.group_name}' in tenant {request.tenant_id} by user {user_id}\")\n\n        return JSONResponse(\n            status_code=HTTPStatus.CREATED,\n            content={\n                \"message\": \"Group created successfully\",\n                \"data\": group_info\n            }\n        )\n\n    except UnauthorizedError as exc:\n        logger.warning(f\"Unauthorized group creation attempt: {str(exc)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.UNAUTHORIZED,\n            detail=str(exc)\n        )\n    except ValidationError as exc:\n        logger.warning(f\"Group creation validation error: {str(exc)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.BAD_REQUEST,\n            detail=str(exc)\n        )\n    except Exception as exc:\n        logger.error(f\"Unexpected error during group creation: {str(exc)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n            detail=\"Failed to create group\"\n        )\n\n\n@router.get(\"/{group_id}\")\nasync def get_group_endpoint(group_id: int) -> JSONResponse:\n    \"\"\"\n    Get group information by group ID\n\n    Args:\n        group_id: Group identifier\n        authorization: Bearer token for authentication\n\n    Returns:\n        JSONResponse: Group information\n    \"\"\"\n    try:\n        # Get group info\n        group_info = get_group_info(group_id)\n\n        if not group_info:\n            raise NotFoundException(f\"Group {group_id} not found\")\n\n        return JSONResponse(\n            status_code=HTTPStatus.OK,\n            content={\n                \"message\": \"Group retrieved successfully\",\n                \"data\": group_info\n            }\n        )\n\n    except NotFoundException as exc:\n        logger.warning(f\"Group not found: {group_id}\")\n        raise HTTPException(\n            status_code=HTTPStatus.NOT_FOUND,\n            detail=str(exc)\n        )\n    except Exception as exc:\n        logger.error(f\"Unexpected error retrieving group {group_id}: {str(exc)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n            detail=\"Failed to retrieve group\"\n        )\n\n\n@router.post(\"/list\")\nasync def get_groups_endpoint(\n    request: GroupListRequest,\n) -> JSONResponse:\n    \"\"\"\n    Search groups for a specific tenant with pagination\n\n    Args:\n        request: Group search request with tenant_id, optional page, and page_size.\n                If page and page_size are not provided, returns all data.\n\n    Returns:\n        JSONResponse: List of groups for the tenant (paginated or all)\n    \"\"\"\n    try:\n        # Validate tenant exists\n        get_tenant_info(request.tenant_id)\n        # Get groups under given tenant with pagination and sorting\n        result = get_groups_by_tenant(\n            tenant_id=request.tenant_id,\n            page=request.page,\n            page_size=request.page_size,\n            sort_by=request.sort_by,\n            sort_order=request.sort_order\n        )\n\n        # Build response content\n        content = {\n            \"message\": \"Groups retrieved successfully\",\n            \"data\": result[\"groups\"],\n            \"total\": result[\"total\"]\n        }\n\n        # Add pagination info only if pagination was used\n        if request.page is not None and request.page_size is not None:\n            content[\"pagination\"] = {\n                \"page\": request.page,\n                \"page_size\": request.page_size,\n                \"total\": result[\"total\"],\n                \"total_pages\": (result[\"total\"] + request.page_size - 1) // request.page_size\n            }\n\n        return JSONResponse(\n            status_code=HTTPStatus.OK,\n            content=content\n        )\n\n    except NotFoundException as exc:\n        logger.warning(f\"Tenant not found: {request.tenant_id}\")\n        raise HTTPException(\n            status_code=HTTPStatus.NOT_FOUND,\n            detail=str(exc)\n        )\n    except Exception as exc:\n        logger.error(f\"Unexpected error retrieving groups: {str(exc)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n            detail=\"Failed to retrieve groups\"\n        )\n\n\n@router.put(\"/{group_id}\")\nasync def update_group_endpoint(\n    group_id: int,\n    request: GroupUpdateRequest,\n    authorization: Optional[str] = Header(None)\n) -> JSONResponse:\n    \"\"\"\n    Update group information\n\n    Args:\n        group_id: Group identifier\n        request: Group update request\n        authorization: Bearer token for authentication\n\n    Returns:\n        JSONResponse: Success status\n    \"\"\"\n    try:\n        # Get current user ID from token\n        user_id, _ = get_current_user_id(authorization)\n\n        # Prepare updates dict\n        updates = {}\n        if request.group_name is not None:\n            updates[\"group_name\"] = request.group_name\n        if request.group_description is not None:\n            updates[\"group_description\"] = request.group_description\n\n        if not updates:\n            raise ValidationError(\"No valid fields provided for update\")\n\n        # Update group\n        success = update_group(\n            group_id=group_id,\n            updates=updates,\n            user_id=user_id\n        )\n\n        if not success:\n            raise ValidationError(\"Failed to update group\")\n\n        logger.info(f\"Updated group {group_id} by user {user_id}\")\n\n        return JSONResponse(\n            status_code=HTTPStatus.OK,\n            content={\n                \"message\": \"Group updated successfully\"\n            }\n        )\n\n    except NotFoundException as exc:\n        logger.warning(f\"Group not found for update: {group_id}\")\n        raise HTTPException(\n            status_code=HTTPStatus.NOT_FOUND,\n            detail=str(exc)\n        )\n    except ValidationError as exc:\n        logger.warning(f\"Group update validation error: {str(exc)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.BAD_REQUEST,\n            detail=str(exc)\n        )\n    except UnauthorizedError as exc:\n        logger.warning(f\"Unauthorized group update attempt: {str(exc)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.UNAUTHORIZED,\n            detail=str(exc)\n        )\n    except Exception as exc:\n        logger.error(f\"Unexpected error during group update: {str(exc)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n            detail=\"Failed to update group\"\n        )\n\n\n@router.delete(\"/{group_id}\")\nasync def delete_group_endpoint(\n    group_id: int,\n    authorization: Optional[str] = Header(None)\n) -> JSONResponse:\n    \"\"\"\n    Delete group\n\n    Args:\n        group_id: Group identifier\n        authorization: Bearer token for authentication\n\n    Returns:\n        JSONResponse: Success status\n    \"\"\"\n    try:\n        # Get current user ID from token\n        user_id, _ = get_current_user_id(authorization)\n\n        # Delete group\n        success = delete_group(\n            group_id=group_id,\n            user_id=user_id\n        )\n\n        if not success:\n            raise ValidationError(\"Failed to delete group\")\n\n        logger.info(f\"Deleted group {group_id} by user {user_id}\")\n\n        return JSONResponse(\n            status_code=HTTPStatus.OK,\n            content={\n                \"message\": \"Group deleted successfully\"\n            }\n        )\n\n    except NotFoundException as exc:\n        logger.warning(f\"Group not found for deletion: {group_id}\")\n        raise HTTPException(\n            status_code=HTTPStatus.NOT_FOUND,\n            detail=str(exc)\n        )\n    except ValidationError as exc:\n        logger.warning(f\"Group deletion validation error: {str(exc)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.BAD_REQUEST,\n            detail=str(exc)\n        )\n    except UnauthorizedError as exc:\n        logger.warning(f\"Unauthorized group deletion attempt: {str(exc)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.UNAUTHORIZED,\n            detail=str(exc)\n        )\n    except Exception as exc:\n        logger.error(f\"Unexpected error during group deletion: {str(exc)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n            detail=\"Failed to delete group\"\n        )\n\n\n@router.post(\"/{group_id}/members\")\nasync def add_user_to_group_endpoint(\n    group_id: int,\n    request: GroupUserRequest,\n    authorization: Optional[str] = Header(None)\n) -> JSONResponse:\n    \"\"\"\n    Add user to group\n\n    Args:\n        group_id: Group identifier\n        request: User addition request containing user_id\n        authorization: Bearer token for authentication\n\n    Returns:\n        JSONResponse: Group membership result\n    \"\"\"\n    try:\n        # Validate request - only user_id should be provided in body\n        if request.group_ids is not None:\n            raise ValidationError(\"group_ids should not be provided for single group operation\")\n\n        # Get current user ID from token\n        current_user_id, _ = get_current_user_id(authorization)\n\n        # Add user to group\n        result = add_user_to_single_group(\n            group_id=group_id,\n            user_id=request.user_id,\n            current_user_id=current_user_id\n        )\n\n        logger.info(f\"Added user {request.user_id} to group {group_id} by user {current_user_id}\")\n\n        return JSONResponse(\n            status_code=HTTPStatus.OK,\n            content={\n                \"message\": \"User added to group successfully\",\n                \"data\": result\n            }\n        )\n\n    except NotFoundException as exc:\n        logger.warning(f\"Group or user not found: {str(exc)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.NOT_FOUND,\n            detail=str(exc)\n        )\n    except ValidationError as exc:\n        logger.warning(f\"Group membership validation error: {str(exc)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.BAD_REQUEST,\n            detail=str(exc)\n        )\n    except UnauthorizedError as exc:\n        logger.warning(f\"Unauthorized group membership modification: {str(exc)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.UNAUTHORIZED,\n            detail=str(exc)\n        )\n    except Exception as exc:\n        logger.error(f\"Unexpected error adding user to group: {str(exc)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n            detail=\"Failed to add user to group\"\n        )\n\n\n@router.delete(\"/{group_id}/members/{user_id}\")\nasync def remove_user_from_group_endpoint(\n    group_id: int,\n    user_id: str,\n    authorization: Optional[str] = Header(None)\n) -> JSONResponse:\n    \"\"\"\n    Remove user from group\n\n    Args:\n        group_id: Group identifier\n        user_id: User identifier\n        authorization: Bearer token for authentication\n\n    Returns:\n        JSONResponse: Success status\n    \"\"\"\n    try:\n        # Get current user ID from token\n        current_user_id, _ = get_current_user_id(authorization)\n\n        # Remove user from group\n        success = remove_user_from_single_group(\n            group_id=group_id,\n            user_id=user_id,\n            current_user_id=current_user_id\n        )\n\n        if not success:\n            raise ValidationError(\"Failed to remove user from group\")\n\n        logger.info(f\"Removed user {user_id} from group {group_id} by user {current_user_id}\")\n\n        return JSONResponse(\n            status_code=HTTPStatus.OK,\n            content={\n                \"message\": \"User removed from group successfully\"\n            }\n        )\n\n    except NotFoundException as exc:\n        logger.warning(f\"Group or user not found: {str(exc)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.NOT_FOUND,\n            detail=str(exc)\n        )\n    except ValidationError as exc:\n        logger.warning(f\"Group membership removal validation error: {str(exc)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.BAD_REQUEST,\n            detail=str(exc)\n        )\n    except UnauthorizedError as exc:\n        logger.warning(f\"Unauthorized group membership modification: {str(exc)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.UNAUTHORIZED,\n            detail=str(exc)\n        )\n    except Exception as exc:\n        logger.error(f\"Unexpected error removing user from group: {str(exc)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n            detail=\"Failed to remove user from group\"\n        )\n\n\n@router.get(\"/{group_id}/members\")\nasync def get_group_users_endpoint(group_id: int) -> JSONResponse:\n    \"\"\"\n    Get all users in a group\n\n    Args:\n        group_id: Group identifier\n        authorization: Bearer token for authentication\n\n    Returns:\n        JSONResponse: List of group users\n    \"\"\"\n    try:\n        # Get group users\n        users = get_group_users(group_id)\n\n        return JSONResponse(\n            status_code=HTTPStatus.OK,\n            content={\n                \"message\": \"Group users retrieved successfully\",\n                \"data\": users\n            }\n        )\n\n    except NotFoundException as exc:\n        logger.warning(f\"Group not found: {group_id}\")\n        raise HTTPException(\n            status_code=HTTPStatus.NOT_FOUND,\n            detail=str(exc)\n        )\n    except Exception as exc:\n        logger.error(f\"Unexpected error retrieving group users: {str(exc)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n            detail=\"Failed to retrieve group users\"\n        )\n\n\n@router.put(\"/{group_id}/members\")\nasync def update_group_members_endpoint(\n    group_id: int,\n    request: GroupMembersUpdateRequest,\n    authorization: Optional[str] = Header(None)\n) -> JSONResponse:\n    \"\"\"\n    Update group members by setting the exact list of users.\n\n    Args:\n        group_id: Group identifier\n        request: Request containing the list of user IDs to set as group members\n        authorization: Bearer token for authentication\n\n    Returns:\n        JSONResponse: Update results with counts\n    \"\"\"\n    try:\n        # Get current user ID from token\n        current_user_id, _ = get_current_user_id(authorization)\n\n        # Update group members\n        result = update_group_members(\n            group_id=group_id,\n            user_ids=request.user_ids,\n            current_user_id=current_user_id\n        )\n\n        logger.info(f\"Updated group {group_id} members by user {current_user_id}: {result}\")\n\n        return JSONResponse(\n            status_code=HTTPStatus.OK,\n            content={\n                \"message\": \"Group members updated successfully\",\n                \"data\": result\n            }\n        )\n\n    except NotFoundException as exc:\n        logger.warning(f\"Group not found for member update: {group_id}\")\n        raise HTTPException(\n            status_code=HTTPStatus.NOT_FOUND,\n            detail=str(exc)\n        )\n    except ValidationError as exc:\n        logger.warning(f\"Group members update validation error: {str(exc)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.BAD_REQUEST,\n            detail=str(exc)\n        )\n    except UnauthorizedError as exc:\n        logger.warning(f\"Unauthorized group members update attempt: {str(exc)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.UNAUTHORIZED,\n            detail=str(exc)\n        )\n    except Exception as exc:\n        logger.error(f\"Unexpected error during group members update: {str(exc)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n            detail=\"Failed to update group members\"\n        )\n\n\n@router.post(\"/members/batch\")\nasync def add_user_to_groups_endpoint(\n    request: GroupUserRequest,\n    authorization: Optional[str] = Header(None)\n) -> JSONResponse:\n    \"\"\"\n    Add user to multiple groups (batch operation)\n\n    Args:\n        request: Batch user addition request containing user_id and group_ids\n        authorization: Bearer token for authentication\n\n    Returns:\n        JSONResponse: Batch operation results\n    \"\"\"\n    try:\n        # Validate request for batch operation\n        if request.group_ids is None or len(request.group_ids) == 0:\n            raise ValidationError(\"group_ids is required for batch operations\")\n\n        # Get current user ID from token\n        current_user_id, _ = get_current_user_id(authorization)\n\n        # Add user to multiple groups\n        results = add_user_to_groups(\n            user_id=request.user_id,\n            group_ids=request.group_ids,\n            current_user_id=current_user_id\n        )\n\n        logger.info(f\"Batch added user {request.user_id} to {len(request.group_ids)} groups by user {current_user_id}\")\n\n        return JSONResponse(\n            status_code=HTTPStatus.OK,\n            content={\n                \"message\": \"Batch user addition completed\",\n                \"data\": results\n            }\n        )\n\n    except ValidationError as exc:\n        logger.warning(f\"Batch user addition validation error: {str(exc)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.BAD_REQUEST,\n            detail=str(exc)\n        )\n    except UnauthorizedError as exc:\n        logger.warning(f\"Unauthorized batch group membership modification: {str(exc)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.UNAUTHORIZED,\n            detail=str(exc)\n        )\n    except Exception as exc:\n        logger.error(f\"Unexpected error in batch user addition: {str(exc)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n            detail=\"Failed to add user to groups\"\n        )\n\n\n@router.get(\"/tenants/{tenant_id}/default\")\nasync def get_tenant_default_group_endpoint(tenant_id: str) -> JSONResponse:\n    \"\"\"\n    Get tenant's default group ID\n\n    Args:\n        tenant_id: Tenant identifier\n        authorization: Bearer token for authentication\n\n    Returns:\n        JSONResponse: Default group ID\n    \"\"\"\n    try:\n        # Get default group ID\n        default_group_id = get_tenant_default_group_id(tenant_id)\n\n        return JSONResponse(\n            status_code=HTTPStatus.OK,\n            content={\n                \"message\": \"Default group ID retrieved successfully\",\n                \"data\": {\n                    \"tenant_id\": tenant_id,\n                    \"default_group_id\": default_group_id\n                }\n            }\n        )\n\n    except Exception as exc:\n        logger.error(f\"Unexpected error retrieving default group for tenant {tenant_id}: {str(exc)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n            detail=\"Failed to retrieve default group\"\n        )\n\n\n@router.put(\"/tenants/{tenant_id}/default\")\nasync def set_tenant_default_group_endpoint(\n    tenant_id: str,\n    request: SetDefaultGroupRequest,\n    authorization: Optional[str] = Header(None)\n) -> JSONResponse:\n    \"\"\"\n    Set tenant's default group ID\n\n    Args:\n        tenant_id: Tenant identifier\n        request: Request containing the default group ID to set\n        authorization: Bearer token for authentication\n\n    Returns:\n        JSONResponse: Success status\n    \"\"\"\n    try:\n        # Get current user ID from token\n        user_id, _ = get_current_user_id(authorization)\n\n        # Set default group ID\n        success = set_tenant_default_group_id(\n            tenant_id=tenant_id,\n            group_id=request.default_group_id,\n            updated_by=user_id\n        )\n\n        if not success:\n            raise ValidationError(\"Failed to set default group\")\n\n        logger.info(f\"Set default group {request.default_group_id} for tenant {tenant_id} by user {user_id}\")\n\n        return JSONResponse(\n            status_code=HTTPStatus.OK,\n            content={\n                \"message\": \"Default group set successfully\",\n                \"data\": {\n                    \"tenant_id\": tenant_id,\n                    \"default_group_id\": request.default_group_id\n                }\n            }\n        )\n\n    except NotFoundException as exc:\n        logger.warning(f\"Tenant or group not found: {str(exc)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.NOT_FOUND,\n            detail=str(exc)\n        )\n    except ValidationError as exc:\n        logger.warning(f\"Validation error setting default group: {str(exc)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.BAD_REQUEST,\n            detail=str(exc)\n        )\n    except UnauthorizedError as exc:\n        logger.warning(f\"Unauthorized attempt to set default group: {str(exc)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.UNAUTHORIZED,\n            detail=str(exc)\n        )\n    except Exception as exc:\n        logger.error(f\"Unexpected error setting default group for tenant {tenant_id}: {str(exc)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n            detail=\"Failed to set default group\"\n        )\n"
  },
  {
    "path": "backend/apps/idata_app.py",
    "content": "\"\"\"\niData App Layer\nFastAPI endpoints for iData knowledge space operations.\n\nThis module provides API endpoints to interact with iData's API,\nincluding fetching knowledge spaces and transforming responses to a format\ncompatible with the frontend.\n\"\"\"\nimport logging\nfrom http import HTTPStatus\n\nfrom fastapi import APIRouter, Query\nfrom fastapi.responses import JSONResponse\n\nfrom consts.error_code import ErrorCode\nfrom consts.exceptions import AppException\nfrom services.idata_service import (\n    fetch_idata_knowledge_spaces_impl,\n    fetch_idata_datasets_impl,\n)\n\nrouter = APIRouter(prefix=\"/idata\")\nlogger = logging.getLogger(\"idata_app\")\n\n\n@router.get(\"/knowledge-space\")\nasync def fetch_idata_knowledge_spaces_api(\n    idata_api_base: str = Query(..., description=\"iData API base URL\"),\n    api_key: str = Query(..., description=\"iData API key\"),\n    user_id: str = Query(..., description=\"iData user ID\"),\n):\n    \"\"\"\n    Fetch knowledge spaces from iData API.\n\n    Returns knowledge spaces in a format with id and name for frontend compatibility.\n    \"\"\"\n    try:\n        # Normalize URL by removing trailing slash\n        idata_api_base = idata_api_base.rstrip('/')\n    except Exception as e:\n        logger.error(f\"Invalid iData configuration: {e}\")\n        raise AppException(\n            ErrorCode.IDATA_CONFIG_INVALID,\n            f\"Invalid URL format: {str(e)}\"\n        )\n\n    try:\n        result = fetch_idata_knowledge_spaces_impl(\n            idata_api_base=idata_api_base,\n            api_key=api_key,\n            user_id=user_id,\n        )\n        return JSONResponse(\n            status_code=HTTPStatus.OK,\n            content=result\n        )\n    except AppException:\n        # Re-raise AppException to be handled by global middleware\n        raise\n    except Exception as e:\n        logger.error(f\"Failed to fetch iData knowledge spaces: {e}\")\n        raise AppException(\n            ErrorCode.IDATA_SERVICE_ERROR,\n            f\"Failed to fetch iData knowledge spaces: {str(e)}\"\n        )\n\n\n@router.get(\"/datasets\")\nasync def fetch_idata_datasets_api(\n    idata_api_base: str = Query(..., description=\"iData API base URL\"),\n    api_key: str = Query(..., description=\"iData API key\"),\n    user_id: str = Query(..., description=\"iData user ID\"),\n    knowledge_space_id: str = Query(..., description=\"Knowledge space ID\"),\n):\n    \"\"\"\n    Fetch datasets (knowledge bases) from iData API.\n\n    Returns knowledge bases in a format consistent with DataMate for frontend compatibility.\n    \"\"\"\n    try:\n        # Normalize URL by removing trailing slash\n        idata_api_base = idata_api_base.rstrip('/')\n    except Exception as e:\n        logger.error(f\"Invalid iData configuration: {e}\")\n        raise AppException(\n            ErrorCode.IDATA_CONFIG_INVALID,\n            f\"Invalid URL format: {str(e)}\"\n        )\n\n    try:\n        result = fetch_idata_datasets_impl(\n            idata_api_base=idata_api_base,\n            api_key=api_key,\n            user_id=user_id,\n            knowledge_space_id=knowledge_space_id,\n        )\n        return JSONResponse(\n            status_code=HTTPStatus.OK,\n            content=result\n        )\n    except AppException:\n        # Re-raise AppException to be handled by global middleware\n        raise\n    except Exception as e:\n        logger.error(f\"Failed to fetch iData datasets: {e}\")\n        raise AppException(\n            ErrorCode.IDATA_SERVICE_ERROR,\n            f\"Failed to fetch iData datasets: {str(e)}\"\n        )\n"
  },
  {
    "path": "backend/apps/image_app.py",
    "content": "import logging\nimport base64\nfrom urllib.parse import unquote\nfrom io import BytesIO\n\nfrom fastapi import APIRouter, HTTPException\nfrom fastapi.responses import StreamingResponse\nfrom http import HTTPStatus\n\nfrom services.image_service import proxy_image_impl\n\n# Create router\nrouter = APIRouter()\n\n# Configure logging\nlogger = logging.getLogger(\"image_app\")\n\n\n@router.get(\"/image\")\nasync def proxy_image(url: str, format: str = \"json\"):\n    \"\"\"\n    Image proxy service that fetches remote images\n    \n    Parameters:\n        url: Remote image URL\n        format: Response format - \"json\" (default, returns base64) or \"stream\" (returns image stream)\n\n    Returns:\n        JSON object containing base64 encoded image (format=json) or image stream (format=stream)\n    \"\"\"\n    try:\n        # URL decode\n        decoded_url = unquote(url)\n        \n        if format == \"stream\":\n            # Return image as stream for direct use in <img> tags\n            result = await proxy_image_impl(decoded_url)\n            if not result.get(\"success\"):\n                raise HTTPException(\n                    status_code=HTTPStatus.BAD_GATEWAY,\n                    detail=result.get(\"error\", \"Failed to fetch image\")\n                )\n            \n            # Decode base64 to bytes\n            base64_data = result.get(\"base64\", \"\")\n            content_type = result.get(\"content_type\", \"image/jpeg\")\n            image_bytes = base64.b64decode(base64_data)\n            \n            # Return as streaming response\n            return StreamingResponse(\n                BytesIO(image_bytes),\n                media_type=content_type,\n                headers={\n                    \"Cache-Control\": \"public, max-age=3600\"\n                }\n            )\n        else:\n            # Return JSON with base64 (default behavior for backward compatibility)\n            return await proxy_image_impl(decoded_url)\n    except Exception as e:\n        logger.error(\n            f\"Error occurred while proxying image: {str(e)}, URL: {url[:50]}...\")\n        if format == \"stream\":\n            raise HTTPException(\n                status_code=HTTPStatus.BAD_GATEWAY,\n                detail=str(e)\n            )\n        return {\"success\": False, \"error\": str(e)}"
  },
  {
    "path": "backend/apps/invitation_app.py",
    "content": "\"\"\"\nInvitation management API endpoints\n\"\"\"\nimport logging\nfrom typing import Optional\n\nfrom fastapi import APIRouter, HTTPException, Header\nfrom http import HTTPStatus\nfrom starlette.responses import JSONResponse\n\nfrom consts.model import (\n    InvitationCreateRequest, InvitationUpdateRequest, InvitationListRequest\n)\nfrom consts.exceptions import NotFoundException, ValidationError, UnauthorizedError, DuplicateError\nfrom services.invitation_service import (\n    create_invitation_code, update_invitation_code, get_invitation_by_code,\n    check_invitation_available, use_invitation_code, update_invitation_code_status,\n    get_invitations_list, delete_invitation_code\n)\nfrom database.user_tenant_db import get_user_tenant_by_user_id\nfrom utils.auth_utils import get_current_user_id\n\nlogger = logging.getLogger(__name__)\nrouter = APIRouter(prefix=\"/invitations\", tags=[\"invitations\"])\n\n\n@router.post(\"/list\")\nasync def list_invitations_endpoint(\n    request: InvitationListRequest,\n    authorization: Optional[str] = Header(None)\n) -> JSONResponse:\n    \"\"\"\n    List invitation codes with pagination\n\n    Args:\n        request: Invitation list request with pagination parameters\n        authorization: Bearer token for authentication\n\n    Returns:\n        JSONResponse: Paginated list of invitation codes\n    \"\"\"\n    try:\n        # Get current user ID from token\n        user_id, _ = get_current_user_id(authorization)\n\n        # Get invitations list\n        result = get_invitations_list(\n            tenant_id=request.tenant_id,\n            page=request.page,\n            page_size=request.page_size,\n            user_id=user_id,\n            sort_by=request.sort_by,\n            sort_order=request.sort_order\n        )\n\n        logger.info(f\"User {user_id} retrieved invitation list (tenant: {request.tenant_id or 'all'}, page: {request.page}, size: {request.page_size})\")\n\n        return JSONResponse(\n            status_code=HTTPStatus.OK,\n            content={\n                \"message\": \"Invitation codes retrieved successfully\",\n                \"data\": result\n            }\n        )\n\n    except UnauthorizedError as exc:\n        logger.warning(f\"Unauthorized invitation list access attempt: {str(exc)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.UNAUTHORIZED,\n            detail=str(exc)\n        )\n    except Exception as exc:\n        logger.error(f\"Unexpected error retrieving invitation list: {str(exc)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n            detail=\"Failed to retrieve invitation codes\"\n        )\n\n\n@router.post(\"\")\nasync def create_invitation_endpoint(\n    request: InvitationCreateRequest,\n    authorization: Optional[str] = Header(None)\n) -> JSONResponse:\n    \"\"\"\n    Create a new invitation code\n\n    Args:\n        request: Invitation creation request\n        authorization: Bearer token for authentication\n\n    Returns:\n        JSONResponse: Created invitation information\n    \"\"\"\n    try:\n        # Get current user ID from token\n        user_id, _ = get_current_user_id(authorization)\n\n        # Validate tenant_id from request\n        tenant_id = request.tenant_id\n\n        # Preprocess request parameters to handle empty values\n        invitation_code = request.invitation_code if request.invitation_code else None\n        group_ids = request.group_ids if request.group_ids else None\n        expiry_date = request.expiry_date if request.expiry_date else None\n\n        # Create invitation code\n        invitation_info = create_invitation_code(\n            tenant_id=tenant_id,\n            code_type=request.code_type,\n            invitation_code=invitation_code,\n            group_ids=group_ids,\n            capacity=request.capacity,\n            expiry_date=expiry_date,\n            user_id=user_id\n        )\n\n        logger.info(f\"Created invitation code {invitation_info['invitation_code']} (type: {request.code_type}) for tenant {tenant_id} by user {user_id}\")\n\n        return JSONResponse(\n            status_code=HTTPStatus.CREATED,\n            content={\n                \"message\": \"Invitation code created successfully\",\n                \"data\": invitation_info\n            }\n        )\n\n    except ValueError as exc:\n        logger.warning(f\"Invalid invitation creation parameters: {str(exc)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.BAD_REQUEST,\n            detail=str(exc)\n        )\n    except DuplicateError as exc:\n        logger.warning(f\"Duplicate invitation code: {str(exc)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.CONFLICT,\n            detail=str(exc)\n        )\n    except NotFoundException as exc:\n        logger.warning(f\"User not found during invitation creation: {str(exc)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.NOT_FOUND,\n            detail=str(exc)\n        )\n    except UnauthorizedError as exc:\n        logger.warning(f\"Unauthorized invitation creation attempt: {str(exc)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.UNAUTHORIZED,\n            detail=str(exc)\n        )\n    except Exception as exc:\n        logger.error(f\"Unexpected error during invitation creation: {str(exc)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n            detail=\"Failed to create invitation code\"\n        )\n\n\n@router.put(\"/{invitation_code}\")\nasync def update_invitation_endpoint(\n    invitation_code: str,\n    request: InvitationUpdateRequest,\n    authorization: Optional[str] = Header(None)\n) -> JSONResponse:\n    \"\"\"\n    Update invitation code information\n\n    Args:\n        invitation_code: Invitation code\n        request: Invitation update request\n        authorization: Bearer token for authentication\n\n    Returns:\n        JSONResponse: Success status\n    \"\"\"\n    try:\n        # Get current user ID from token\n        user_id, _ = get_current_user_id(authorization)\n\n        # Get invitation info to find invitation_id\n        invitation_info = get_invitation_by_code(invitation_code)\n        if not invitation_info:\n            raise NotFoundException(f\"Invitation code {invitation_code} not found\")\n\n        invitation_id = invitation_info[\"invitation_id\"]\n\n        # Prepare updates dict\n        updates = {}\n        if request.capacity is not None:\n            updates[\"capacity\"] = request.capacity\n        if request.expiry_date is not None:\n            updates[\"expiry_date\"] = request.expiry_date\n        if request.group_ids is not None:\n            updates[\"group_ids\"] = request.group_ids\n\n        if not updates:\n            raise ValidationError(\"No valid fields provided for update\")\n\n        # Update invitation\n        success = update_invitation_code(\n            invitation_id=invitation_id,\n            updates=updates,\n            user_id=user_id\n        )\n\n        if not success:\n            raise ValidationError(\"Failed to update invitation code\")\n\n        logger.info(f\"Updated invitation code {invitation_code} by user {user_id}\")\n\n        return JSONResponse(\n            status_code=HTTPStatus.OK,\n            content={\n                \"message\": \"Invitation code updated successfully\"\n            }\n        )\n\n    except NotFoundException as exc:\n        logger.warning(f\"Invitation not found for update: {str(exc)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.NOT_FOUND,\n            detail=str(exc)\n        )\n    except ValidationError as exc:\n        logger.warning(f\"Invitation update validation error: {str(exc)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.BAD_REQUEST,\n            detail=str(exc)\n        )\n    except UnauthorizedError as exc:\n        logger.warning(f\"Unauthorized invitation update attempt: {str(exc)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.UNAUTHORIZED,\n            detail=str(exc)\n        )\n    except Exception as exc:\n        import traceback\n        logger.error(f\"Unexpected error during invitation update: {str(exc)}\")\n        logger.error(f\"Exception type: {type(exc).__name__}\")\n        logger.error(f\"Full traceback: {traceback.format_exc()}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n            detail=\"Failed to update invitation code\"\n        )\n\n\n@router.get(\"/{invitation_code}\")\nasync def get_invitation_endpoint(invitation_code: str) -> JSONResponse:\n    \"\"\"\n    Get invitation information by code\n\n    Args:\n        invitation_code: Invitation code\n\n    Returns:\n        JSONResponse: Invitation information\n    \"\"\"\n    try:\n        # Get invitation info\n        invitation_info = get_invitation_by_code(invitation_code)\n\n        if not invitation_info:\n            raise NotFoundException(f\"Invitation code {invitation_code} not found\")\n\n        return JSONResponse(\n            status_code=HTTPStatus.OK,\n            content={\n                \"message\": \"Invitation code retrieved successfully\",\n                \"data\": invitation_info\n            }\n        )\n\n    except NotFoundException as exc:\n        logger.warning(f\"Invitation code not found: {invitation_code}\")\n        raise HTTPException(\n            status_code=HTTPStatus.NOT_FOUND,\n            detail=str(exc)\n        )\n    except Exception as exc:\n        logger.error(f\"Unexpected error retrieving invitation code {invitation_code}: {str(exc)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n            detail=\"Failed to retrieve invitation code\"\n        )\n\n\n@router.get(\"/{invitation_code}/check\")\nasync def check_invitation_code_endpoint(invitation_code: str) -> JSONResponse:\n    \"\"\"\n    Check if invitation code already exists\n\n    Args:\n        invitation_code: Invitation code to check\n\n    Returns:\n        JSONResponse: Check result with exists flag\n    \"\"\"\n    try:\n        invitation_info = get_invitation_by_code(invitation_code)\n        exists = invitation_info is not None\n\n        return JSONResponse(\n            status_code=HTTPStatus.OK,\n            content={\n                \"message\": \"Invitation code check completed\",\n                \"data\": {\n                    \"invitation_code\": invitation_code,\n                    \"exists\": exists\n                }\n            }\n        )\n\n    except Exception as exc:\n        logger.error(f\"Unexpected error checking invitation code {invitation_code}: {str(exc)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n            detail=\"Failed to check invitation code\"\n        )\n\n\n@router.delete(\"/{invitation_code}\")\nasync def delete_invitation_endpoint(\n    invitation_code: str,\n    authorization: Optional[str] = Header(None)\n) -> JSONResponse:\n    \"\"\"\n    Delete invitation code\n\n    Args:\n        invitation_code: Invitation code to delete\n        authorization: Bearer token for authentication\n\n    Returns:\n        JSONResponse: Success status\n    \"\"\"\n    try:\n        # Get current user ID from token\n        user_id, _ = get_current_user_id(authorization)\n\n        # Get invitation info to find invitation_id\n        invitation_info = get_invitation_by_code(invitation_code)\n        if not invitation_info:\n            raise NotFoundException(f\"Invitation code {invitation_code} not found\")\n\n        invitation_id = invitation_info[\"invitation_id\"]\n\n        # Delete invitation code\n        success = delete_invitation_code(\n            invitation_id=invitation_id,\n            user_id=user_id\n        )\n\n        if not success:\n            raise ValidationError(\"Failed to delete invitation code\")\n\n        logger.info(f\"Deleted invitation code {invitation_code} by user {user_id}\")\n\n        return JSONResponse(\n            status_code=HTTPStatus.OK,\n            content={\n                \"message\": \"Invitation code deleted successfully\"\n            }\n        )\n\n    except NotFoundException as exc:\n        logger.warning(f\"Invitation not found for deletion: {str(exc)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.NOT_FOUND,\n            detail=str(exc)\n        )\n    except ValidationError as exc:\n        logger.warning(f\"Invitation deletion validation error: {str(exc)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.BAD_REQUEST,\n            detail=str(exc)\n        )\n    except UnauthorizedError as exc:\n        logger.warning(f\"Unauthorized invitation deletion attempt: {str(exc)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.UNAUTHORIZED,\n            detail=str(exc)\n        )\n    except Exception as exc:\n        logger.error(f\"Unexpected error during invitation deletion: {str(exc)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n            detail=\"Failed to delete invitation code\"\n        )\n\n\n@router.get(\"/{invitation_code}/available\")\nasync def check_invitation_available_endpoint(invitation_code: str) -> JSONResponse:\n    \"\"\"\n    Check if invitation code is available for use\n\n    Args:\n        invitation_code: Invitation code to check\n\n    Returns:\n        JSONResponse: Availability status\n    \"\"\"\n    try:\n        # Check availability\n        is_available = check_invitation_available(invitation_code)\n\n        return JSONResponse(\n            status_code=HTTPStatus.OK,\n            content={\n                \"message\": \"Invitation availability checked successfully\",\n                \"data\": {\n                    \"invitation_code\": invitation_code,\n                    \"available\": is_available\n                }\n            }\n        )\n\n    except Exception as exc:\n        logger.error(f\"Unexpected error checking invitation availability: {str(exc)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n            detail=\"Failed to check invitation availability\"\n        )\n\n\n@router.post(\"/{invitation_code}/use\")\nasync def use_invitation_endpoint(\n    invitation_code: str,\n    authorization: Optional[str] = Header(None)\n) -> JSONResponse:\n    \"\"\"\n    Use an invitation code\n\n    Args:\n        invitation_code: Invitation code to use\n        authorization: Bearer token for authentication\n\n    Returns:\n        JSONResponse: Usage result\n    \"\"\"\n    try:\n        # Get current user ID from token\n        current_user_id, _ = get_current_user_id(authorization)\n\n        # Users can use invitation codes for themselves\n\n        # Use invitation code\n        usage_result = use_invitation_code(\n            invitation_code=invitation_code,\n            user_id=current_user_id\n        )\n\n        logger.info(f\"User {current_user_id} used invitation code {invitation_code}\")\n\n        return JSONResponse(\n            status_code=HTTPStatus.OK,\n            content={\n                \"message\": \"Invitation code used successfully\",\n                \"data\": usage_result\n            }\n        )\n\n    except NotFoundException as exc:\n        logger.warning(f\"Invitation code not available: {str(exc)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.NOT_FOUND,\n            detail=str(exc)\n        )\n    except UnauthorizedError as exc:\n        logger.warning(f\"Unauthorized invitation usage attempt: {str(exc)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.UNAUTHORIZED,\n            detail=str(exc)\n        )\n    except Exception as exc:\n        logger.error(f\"Unexpected error using invitation code: {str(exc)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n            detail=\"Failed to use invitation code\"\n        )\n\n\n@router.post(\"/{invitation_code}/update-status\")\nasync def update_invitation_status_endpoint(invitation_code: str) -> JSONResponse:\n    \"\"\"\n    Update invitation code status based on expiry and usage\n\n    Args:\n        invitation_code: Invitation code\n        authorization: Bearer token for authentication\n\n    Returns:\n        JSONResponse: Status update result\n    \"\"\"\n    try:\n        # Get invitation info to find invitation_id\n        invitation_info = get_invitation_by_code(invitation_code)\n        if not invitation_info:\n            raise NotFoundException(f\"Invitation code {invitation_code} not found\")\n\n        invitation_id = invitation_info[\"invitation_id\"]\n\n        # Update status\n        status_updated = update_invitation_code_status(invitation_id)\n\n        message = \"Invitation status updated\" if status_updated else \"Invitation status unchanged\"\n\n        return JSONResponse(\n            status_code=HTTPStatus.OK,\n            content={\n                \"message\": message,\n                \"data\": {\n                    \"invitation_code\": invitation_code,\n                    \"status_updated\": status_updated\n                }\n            }\n        )\n\n    except NotFoundException as exc:\n        logger.warning(f\"Invitation not found for status update: {str(exc)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.NOT_FOUND,\n            detail=str(exc)\n        )\n    except Exception as exc:\n        logger.error(f\"Unexpected error updating invitation status: {str(exc)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n            detail=\"Failed to update invitation status\"\n        )\n"
  },
  {
    "path": "backend/apps/knowledge_summary_app.py",
    "content": "import logging\nfrom typing import Optional\n\nfrom fastapi import APIRouter, Body, Depends, Header, HTTPException, Path, Query, Request\nfrom fastapi.responses import StreamingResponse\nfrom nexent.vector_database.base import VectorDatabaseCore\n\nfrom consts.model import ChangeSummaryRequest\nfrom services.vectordatabase_service import ElasticSearchService, get_vector_db_core\nfrom utils.auth_utils import get_current_user_id, get_current_user_info\n\nrouter = APIRouter(prefix=\"/summary\")\nlogger = logging.getLogger(\"knowledge_summary_app\")\n\n\n@router.post(\"/{index_name}/auto_summary\")\nasync def auto_summary(\n        http_request: Request,\n        index_name: str = Path(...,\n                               description=\"Name of the index to get documents from\"),\n        batch_size: int = Query(\n            1000, description=\"Number of documents to retrieve per batch\"),\n        model_id: Optional[int] = Query(\n            None, description=\"Model ID to use for summary generation\"),\n        vdb_core: VectorDatabaseCore = Depends(get_vector_db_core),\n        authorization: Optional[str] = Header(None)\n):\n    \"\"\"Summary Elasticsearch index_name by model\"\"\"\n    try:\n        _, tenant_id, language = get_current_user_info(\n            authorization, http_request)\n        service = ElasticSearchService()\n\n        return await service.summary_index_name(\n            index_name=index_name,\n            batch_size=batch_size,\n            vdb_core=vdb_core,\n            tenant_id=tenant_id,\n            language=language,\n            model_id=model_id\n        )\n    except Exception as e:\n        logger.error(\n            f\"Knowledge base summary generation failed: {e}\", exc_info=True)\n        return StreamingResponse(\n            \"data: {{\\\"status\\\": \\\"error\\\", \\\"message\\\": \\\"Knowledge base summary generation failed due to an internal error.\\\"}}\\n\\n\",\n            media_type=\"text/event-stream\",\n            status_code=500\n        )\n\n\n@router.post(\"/{index_name}/summary\")\ndef change_summary(\n        index_name: str = Path(...,\n                               description=\"Name of the index to get documents from\"),\n        change_summary_request: ChangeSummaryRequest = Body(\n            None, description=\"knowledge base summary\"),\n        authorization: Optional[str] = Header(None)\n):\n    \"\"\"Summary Elasticsearch index_name by user\"\"\"\n    try:\n        user_id = get_current_user_id(authorization)[0]\n        summary_result = change_summary_request.summary_result\n        return ElasticSearchService().change_summary(index_name=index_name, summary_result=summary_result, user_id=user_id)\n    except Exception as e:\n        raise HTTPException(\n            status_code=500, detail=f\"Knowledge base summary update failed: {str(e)}\")\n\n\n@router.get(\"/{index_name}/summary\")\ndef get_summary(\n        index_name: str = Path(...,\n                               description=\"Name of the index to get documents from\"),\n):\n    \"\"\"Get Elasticsearch index_name Summary\"\"\"\n    try:\n        # Try to list indices as a health check\n        return ElasticSearchService().get_summary(index_name=index_name)\n    except Exception as e:\n        raise HTTPException(\n            status_code=500, detail=f\"Failed to get knowledge base summary: {str(e)}\")\n"
  },
  {
    "path": "backend/apps/memory_config_app.py",
    "content": "\"\"\"Memory configuration and CRUD API endpoints for the app layer.\n\nThis module exposes HTTP endpoints under the `/memory` prefix. It follows the\napp-layer responsibilities:\n- Parse and validate HTTP inputs\n- Delegate business logic to the service layer\n- Convert unexpected exceptions to error JSON responses\n\nRoutes:\n- GET `/memory/config/load`: Load memory-related configuration for current user\n- POST `/memory/config/set`: Set a single configuration entry\n- POST `/memory/config/disable_agent`: Add a disabled agent id\n- DELETE `/memory/config/disable_agent/{agent_id}`: Remove a disabled agent id\n- POST `/memory/config/disable_useragent`: Add a disabled user-agent id\n- DELETE `/memory/config/disable_useragent/{agent_id}`: Remove a disabled user-agent id\n- POST `/memory/add`: Add memory items (optionally with LLM inference)\n- POST `/memory/search`: Semantic search memory items\n- GET `/memory/list`: List memory items\n- DELETE `/memory/delete/{memory_id}`: Delete a single memory item\n- DELETE `/memory/clear`: Clear memory items by scope\n\"\"\"\nimport asyncio\nimport logging\nfrom typing import Any, Dict, List, Optional\n\nfrom http import HTTPStatus\nfrom fastapi import APIRouter, Body, Header, Path, Query, HTTPException\nfrom fastapi.responses import JSONResponse\n\nfrom nexent.memory.memory_service import (\n    add_memory as svc_add_memory,\n    clear_memory as svc_clear_memory,\n    delete_memory as svc_delete_memory,\n    list_memory as svc_list_memory,\n    search_memory as svc_search_memory,\n)\nfrom consts.const import (\n    MEMORY_AGENT_SHARE_KEY,\n    MEMORY_SWITCH_KEY,\n    BOOLEAN_TRUE_VALUES,\n)\nfrom consts.model import MemoryAgentShareMode\nfrom consts.exceptions import UnauthorizedError\nfrom services.memory_config_service import (\n    add_disabled_agent_id,\n    add_disabled_useragent_id,\n    get_user_configs,\n    remove_disabled_agent_id,\n    remove_disabled_useragent_id,\n    set_agent_share,\n    set_memory_switch,\n)\nfrom utils.auth_utils import get_current_user_id\nfrom utils.memory_utils import build_memory_config\n\nlogger = logging.getLogger(\"memory_config_app\")\nlogger.setLevel(logging.DEBUG)\nrouter = APIRouter(prefix=\"/memory\")\n\n\n# ---------------------------------------------------------------------------\n# Configuration Endpoints\n# ---------------------------------------------------------------------------\n@router.get(\"/config/load\")\ndef load_configs(authorization: Optional[str] = Header(None)):\n    \"\"\"Load all memory-related configuration for the current user.\n\n    Args:\n        authorization: Optional authorization header used to identify the user.\n    \"\"\"\n    try:\n        user_id, _ = get_current_user_id(authorization)\n        configs = get_user_configs(user_id)\n        return JSONResponse(status_code=HTTPStatus.OK, content=configs)\n    except UnauthorizedError as e:\n        raise HTTPException(status_code=HTTPStatus.UNAUTHORIZED, detail=str(e))\n    except Exception as e:\n        logger.error(\"load_configs failed: %s\", e)\n        raise HTTPException(status_code=HTTPStatus.BAD_REQUEST,\n                            detail=\"Failed to load configuration\")\n\n\n@router.post(\"/config/set\")\ndef set_single_config(\n    key: str = Body(..., embed=True, description=\"Configuration key\"),\n    value: Any = Body(..., embed=True, description=\"Configuration value\"),\n    authorization: Optional[str] = Header(None),\n):\n    \"\"\"Set a single-value configuration item for the current user.\n\n    Supported keys:\n    - `MEMORY_SWITCH_KEY`: Toggle memory system on/off (boolean-like values accepted)\n    - `MEMORY_AGENT_SHARE_KEY`: Set agent share mode (`always`/`ask`/`never`)\n\n    Args:\n        key: Configuration key to update.\n        value: New value for the configuration key.\n        authorization: Optional authorization header used to identify the user.\n    \"\"\"\n    user_id, _ = get_current_user_id(authorization)\n\n    if key == MEMORY_SWITCH_KEY:\n        enabled = bool(value) if isinstance(value, bool) else str(\n            value).lower() in BOOLEAN_TRUE_VALUES\n        ok = set_memory_switch(user_id, enabled)\n    elif key == MEMORY_AGENT_SHARE_KEY:\n        try:\n            mode = MemoryAgentShareMode(str(value))\n        except ValueError:\n            raise HTTPException(status_code=HTTPStatus.NOT_ACCEPTABLE,\n                                detail=\"Invalid value for MEMORY_AGENT_SHARE (expected always/ask/never)\")\n        ok = set_agent_share(user_id, mode)\n    else:\n        raise HTTPException(status_code=HTTPStatus.NOT_ACCEPTABLE,\n                            detail=\"Unsupported configuration key\")\n\n    if ok:\n        return JSONResponse(status_code=HTTPStatus.OK, content={\"success\": True})\n    raise HTTPException(status_code=HTTPStatus.BAD_REQUEST,\n                        detail=\"Failed to update configuration\")\n\n\n@router.post(\"/config/disable_agent\")\ndef add_disable_agent(\n    agent_id: str = Body(..., embed=True),\n    authorization: Optional[str] = Header(None),\n):\n    \"\"\"Add an agent id to the user's disabled agent list.\n\n    Args:\n        agent_id: Identifier of the agent to disable.\n        authorization: Optional authorization header used to identify the user.\n    \"\"\"\n    user_id, _ = get_current_user_id(authorization)\n    ok = add_disabled_agent_id(user_id, agent_id)\n    if ok:\n        return JSONResponse(status_code=HTTPStatus.OK, content={\"success\": True})\n    raise HTTPException(status_code=HTTPStatus.BAD_REQUEST,\n                        detail=\"Failed to add disable agent id\")\n\n\n@router.delete(\"/config/disable_agent/{agent_id}\")\ndef remove_disable_agent(\n    agent_id: str = Path(...),\n    authorization: Optional[str] = Header(None),\n):\n    \"\"\"Remove an agent id from the user's disabled agent list.\n\n    Args:\n        agent_id: Identifier of the agent to remove from the disabled list.\n        authorization: Optional authorization header used to identify the user.\n    \"\"\"\n    user_id, _ = get_current_user_id(authorization)\n    ok = remove_disabled_agent_id(user_id, agent_id)\n    if ok:\n        return JSONResponse(status_code=HTTPStatus.OK, content={\"success\": True})\n    raise HTTPException(status_code=HTTPStatus.BAD_REQUEST,\n                        detail=\"Failed to remove disable agent id\")\n\n\n@router.post(\"/config/disable_useragent\")\ndef add_disable_useragent(\n    agent_id: str = Body(..., embed=True),\n    authorization: Optional[str] = Header(None),\n):\n    \"\"\"Add a user-agent id to the user's disabled user-agent list.\n\n    Args:\n        agent_id: Identifier of the user-agent to disable.\n        authorization: Optional authorization header used to identify the user.\n    \"\"\"\n    user_id, _ = get_current_user_id(authorization)\n    ok = add_disabled_useragent_id(user_id, agent_id)\n    if ok:\n        return JSONResponse(status_code=HTTPStatus.OK, content={\"success\": True})\n    raise HTTPException(status_code=HTTPStatus.BAD_REQUEST,\n                        detail=\"Failed to add disable user-agent id\")\n\n\n@router.delete(\"/config/disable_useragent/{agent_id}\")\ndef remove_disable_useragent(\n    agent_id: str = Path(...),\n    authorization: Optional[str] = Header(None),\n):\n    \"\"\"Remove a user-agent id from the user's disabled user-agent list.\n\n    Args:\n        agent_id: Identifier of the user-agent to remove from the disabled list.\n        authorization: Optional authorization header used to identify the user.\n    \"\"\"\n    user_id, _ = get_current_user_id(authorization)\n    ok = remove_disabled_useragent_id(user_id, agent_id)\n    if ok:\n        return JSONResponse(status_code=HTTPStatus.OK, content={\"success\": True})\n    raise HTTPException(status_code=HTTPStatus.BAD_REQUEST,\n                        detail=\"Failed to remove disable user-agent id\")\n\n\n# ---------------------------------------------------------------------------\n# Memory CRUD Endpoints\n# ---------------------------------------------------------------------------\n@router.post(\"/add\")\ndef add_memory(\n    messages: List[Dict[str, Any]\n                   ] = Body(..., description=\"Chat messages list\"),\n    memory_level: str = Body(..., embed=True,\n                             description=\"Memory level: tenant/agent/user/user_agent\"),\n    agent_id: Optional[str] = Body(None, embed=True),\n    infer: bool = Body(\n        True, embed=True, description=\"Whether to run LLM inference during add\"),\n    authorization: Optional[str] = Header(None),\n):\n    \"\"\"Add memory records for the given scope.\n\n    Args:\n        messages: List of chat messages as dictionaries.\n        memory_level: Scope for the memory record (tenant/agent/user/user_agent).\n        agent_id: Optional agent identifier when scope is agent-related.\n        infer: Whether to run LLM inference during add.\n        authorization: Optional authorization header used to identify the user.\n    \"\"\"\n    user_id, tenant_id = get_current_user_id(authorization)\n    try:\n        result = asyncio.run(svc_add_memory(\n            messages=messages,\n            memory_level=memory_level,\n            memory_config=build_memory_config(tenant_id),\n            tenant_id=tenant_id,\n            user_id=user_id,\n            agent_id=agent_id,\n            infer=infer,\n        ))\n        return JSONResponse(status_code=HTTPStatus.OK, content=result)\n    except Exception as e:\n        logger.error(\"add_memory error: %s\", e, exc_info=True)\n        raise HTTPException(status_code=HTTPStatus.BAD_REQUEST, detail=str(e))\n\n\n@router.post(\"/search\")\ndef search_memory(\n    query_text: str = Body(..., embed=True, description=\"Query text\"),\n    memory_level: str = Body(..., embed=True),\n    top_k: int = Body(5, embed=True),\n    agent_id: Optional[str] = Body(None, embed=True),\n    authorization: Optional[str] = Header(None),\n):\n    \"\"\"Search memory semantically for the given scope.\n\n    Args:\n        query_text: Natural language query to search memory.\n        memory_level: Scope for search (tenant/agent/user/user_agent).\n        top_k: Maximum number of results to return.\n        agent_id: Optional agent identifier when scope is agent-related.\n        authorization: Optional authorization header used to identify the user.\n    \"\"\"\n    user_id, tenant_id = get_current_user_id(authorization)\n    try:\n        results = asyncio.run(svc_search_memory(\n            query_text=query_text,\n            memory_level=memory_level,\n            memory_config=build_memory_config(tenant_id),\n            tenant_id=tenant_id,\n            user_id=user_id,\n            top_k=top_k,\n            agent_id=agent_id,\n        ))\n        return JSONResponse(status_code=HTTPStatus.OK, content=results)\n    except Exception as e:\n        logger.error(\"search_memory error: %s\", e, exc_info=True)\n        raise HTTPException(status_code=HTTPStatus.BAD_REQUEST, detail=str(e))\n\n\n@router.get(\"/list\")\ndef list_memory(\n    memory_level: str = Query(...,\n                              description=\"Memory level: tenant/agent/user/user_agent\"),\n    agent_id: Optional[str] = Query(\n        None, description=\"Filter by agent id if applicable\"),\n    authorization: Optional[str] = Header(None),\n):\n    \"\"\"List memory for the given scope.\n\n    Args:\n        memory_level: Scope for listing (tenant/agent/user/user_agent).\n        agent_id: Optional agent filter when scope is agent-related.\n        authorization: Optional authorization header used to identify the user.\n    \"\"\"\n    user_id, tenant_id = get_current_user_id(authorization)\n    try:\n        payload = asyncio.run(svc_list_memory(\n            memory_level=memory_level,\n            memory_config=build_memory_config(tenant_id),\n            tenant_id=tenant_id,\n            user_id=user_id,\n            agent_id=agent_id,\n        ))\n        return JSONResponse(status_code=HTTPStatus.OK, content=payload)\n    except Exception as e:\n        logger.error(\"list_memory error: %s\", e, exc_info=True)\n        raise HTTPException(status_code=HTTPStatus.BAD_REQUEST, detail=str(e))\n\n\n@router.delete(\"/delete/{memory_id}\")\ndef delete_memory(\n    memory_id: str = Path(..., description=\"ID of memory to delete\"),\n    authorization: Optional[str] = Header(None),\n):\n    \"\"\"Delete a specific memory record by id.\n\n    Args:\n        memory_id: Identifier of the memory record to delete.\n        authorization: Optional authorization header used to identify the user.\n    \"\"\"\n    _user_id, tenant_id = get_current_user_id(authorization)\n    try:\n        result = asyncio.run(svc_delete_memory(\n            memory_id=memory_id, memory_config=build_memory_config(tenant_id)))\n        return JSONResponse(status_code=HTTPStatus.OK, content=result)\n    except Exception as e:\n        logger.error(\"delete_memory error: %s\", e, exc_info=True)\n        raise HTTPException(status_code=HTTPStatus.BAD_REQUEST, detail=str(e))\n\n\n@router.delete(\"/clear\")\ndef clear_memory(\n    memory_level: str = Query(...,\n                              description=\"Memory level: tenant/agent/user/user_agent\"),\n    agent_id: Optional[str] = Query(\n        None, description=\"Filter by agent id if applicable\"),\n    authorization: Optional[str] = Header(None),\n):\n    \"\"\"Clear memory records for the given scope.\n\n    Args:\n        memory_level: Scope for clearing (tenant/agent/user/user_agent).\n        agent_id: Optional agent filter when scope is agent-related.\n        authorization: Optional authorization header used to identify the user.\n    \"\"\"\n    user_id, tenant_id = get_current_user_id(authorization)\n    try:\n        result = asyncio.run(svc_clear_memory(\n            memory_level=memory_level,\n            memory_config=build_memory_config(tenant_id),\n            tenant_id=tenant_id,\n            user_id=user_id,\n            agent_id=agent_id,\n        ))\n        return JSONResponse(status_code=HTTPStatus.OK, content=result)\n    except Exception as e:\n        logger.error(\"clear_memory error: %s\", e, exc_info=True)\n        raise HTTPException(status_code=HTTPStatus.BAD_REQUEST, detail=str(e))\n"
  },
  {
    "path": "backend/apps/mock_user_management_app.py",
    "content": "import logging\nfrom datetime import datetime, timedelta\n\nfrom fastapi import APIRouter, Request, HTTPException\nfrom fastapi.responses import JSONResponse\nfrom http import HTTPStatus\n\nfrom consts.const import MOCK_USER, MOCK_SESSION\nfrom consts.exceptions import UnauthorizedError\nfrom consts.model import UserSignInRequest, UserSignUpRequest\nfrom services.user_management_service import get_user_info\n\nlogger = logging.getLogger(\"mock_user_management_app\")\nrouter = APIRouter(prefix=\"/user\", tags=[\"user\"])\n\n\n@router.get(\"/service_health\")\nasync def service_health():\n    \"\"\"\n    Mock service health check endpoint\n    \"\"\"\n    try:\n        return JSONResponse(status_code=HTTPStatus.OK, content={\"message\": \"Auth service is available\"})\n    except Exception as e:\n        logger.error(f\"Service health check failed: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n                          detail=\"Service health check failed\")\n\n\n@router.post(\"/signup\")\nasync def signup(request: UserSignUpRequest):\n    \"\"\"\n    Mock user registration endpoint\n    \"\"\"\n    try:\n        logger.info(f\"Mock signup request: email={request.email}\")\n\n        # Mock success response matching user_management_app.py format\n        success_message = \"🎉 User account registered successfully! Please start experiencing the AI assistant service.\"\n\n        user_data = {\n            \"user\": {\n                \"id\": MOCK_USER[\"id\"],\n                \"email\": request.email,\n                \"role\": \"user\"\n            },\n            \"session\": {\n                \"access_token\": MOCK_SESSION[\"access_token\"],\n                \"refresh_token\": MOCK_SESSION[\"refresh_token\"],\n                \"expires_at\": int((datetime.now() + timedelta(days=3650)).timestamp()),\n                \"expires_in_seconds\": MOCK_SESSION[\"expires_in_seconds\"]\n            },\n            \"registration_type\": \"user\"\n        }\n\n        return JSONResponse(status_code=HTTPStatus.OK,\n                            content={\"message\": success_message, \"data\": user_data})\n    except Exception as e:\n        logger.error(f\"User signup failed: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n                          detail=\"User registration failed\")\n\n\n@router.post(\"/signin\")\nasync def signin(request: UserSignInRequest):\n    \"\"\"\n    Mock user login endpoint\n    \"\"\"\n    try:\n        logger.info(f\"Mock signin request: email={request.email}\")\n\n        # Mock success response matching user_management_app.py format\n        signin_content = {\n            \"message\": \"Login successful, session validity is 10 years\",\n            \"data\": {\n                \"user\": {\n                    \"id\": MOCK_USER[\"id\"],\n                    \"email\": request.email,\n                    \"role\": MOCK_USER[\"role\"]\n                },\n                \"session\": {\n                    \"access_token\": MOCK_SESSION[\"access_token\"],\n                    \"refresh_token\": MOCK_SESSION[\"refresh_token\"],\n                    \"expires_at\": int((datetime.now() + timedelta(days=3650)).timestamp()),\n                    \"expires_in_seconds\": MOCK_SESSION[\"expires_in_seconds\"]\n                }\n            }\n        }\n\n        return JSONResponse(status_code=HTTPStatus.OK, content=signin_content)\n    except Exception as e:\n        logger.error(f\"User signin failed: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n                          detail=\"User login failed\")\n\n\n@router.post(\"/refresh_token\")\nasync def user_refresh_token(request: Request):\n    \"\"\"\n    Mock token refresh endpoint\n    \"\"\"\n    try:\n        logger.info(\"Mock refresh token request\")\n\n        # In speed/mock mode, extend for a very long time (10 years)\n        new_expires_at = int((datetime.now() + timedelta(days=3650)).timestamp())\n\n        session_info = {\n            \"access_token\": f\"mock_access_token_{new_expires_at}\",\n            \"refresh_token\": f\"mock_refresh_token_{new_expires_at}\",\n            \"expires_at\": new_expires_at,\n            \"expires_in_seconds\": 315360000\n        }\n\n        return JSONResponse(status_code=HTTPStatus.OK,\n                            content={\"message\": \"Token refresh successful\", \"data\": {\"session\": session_info}})\n    except Exception as e:\n        logger.error(f\"Token refresh failed: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n                          detail=\"Token refresh failed\")\n\n\n@router.post(\"/logout\")\nasync def logout(request: Request):\n    \"\"\"\n    Mock user logout endpoint\n    \"\"\"\n    try:\n        logger.info(\"Mock logout request\")\n\n        return JSONResponse(status_code=HTTPStatus.OK,\n                            content={\"message\": \"Logout successful\"})\n    except Exception as e:\n        logger.error(f\"User logout failed: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n                          detail=\"User logout failed\")\n\n\n@router.get(\"/session\")\nasync def get_session(request: Request):\n    \"\"\"\n    Mock session validation endpoint\n    \"\"\"\n    try:\n        # In mock mode, always return valid session\n        data = {\n            \"user\": {\n                \"id\": MOCK_USER[\"id\"],\n                \"email\": MOCK_USER[\"email\"],\n                \"role\": MOCK_USER[\"role\"]\n            }\n        }\n\n        return JSONResponse(status_code=HTTPStatus.OK,\n                         content={\"message\": \"Session is valid\",\n                                  \"data\": data})\n    except Exception as e:\n        logger.error(f\"Session validation failed: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n                          detail=\"Session validation failed\")\n\n\n@router.get(\"/current_user_id\")\nasync def get_user_id(request: Request):\n    \"\"\"\n    Mock current user ID endpoint\n    \"\"\"\n    try:\n        # In mock mode, always return the mock user ID\n        return JSONResponse(status_code=HTTPStatus.OK,\n                            content={\"message\": \"Get user ID successfully\",\n                                     \"data\": {\"user_id\": MOCK_USER[\"id\"]}})\n    except Exception as e:\n        logger.error(f\"Get user ID failed: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n                          detail=\"Failed to get user ID\")\n\n\n@router.get(\"/current_user_info\")\nasync def get_user_information(request: Request):\n    \"\"\"Get current user information including user ID, group IDs, tenant ID, and role\"\"\"\n    try:\n        # In mock mode, always get user ID by MOCK_USER\n        user_id = MOCK_USER[\"id\"]\n        # Get user information\n        user_info = await get_user_info(user_id)\n        if not user_info:\n            raise UnauthorizedError(\"User information not found\")\n\n        return JSONResponse(status_code=HTTPStatus.OK,\n                            content={\"message\": \"Success\",\n                                     \"data\": user_info})\n    except UnauthorizedError as e:\n        logging.error(f\"Get user information unauthorized: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.UNAUTHORIZED,\n                            detail=\"User not logged in or session invalid\")\n    except Exception as e:\n        logging.error(f\"Get user information failed: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n                            detail=\"Get user information failed\")\n"
  },
  {
    "path": "backend/apps/model_managment_app.py",
    "content": "\"\"\"FastAPI App layer for model management endpoints.\n\nThis module exposes HTTP endpoints under the prefix \"/model\". It follows the App\nlayer contract:\n- Parse and validate inputs using Pydantic models from `consts.model` and FastAPI parameters.\n- Delegate business logic to services and database layer; do not implement core logic here.\n- Map domain/service exceptions to HTTP where necessary; avoid leaking internals.\n- Return structured responses consistent with existing patterns for backward compatibility.\n\nAuthorization: The bearer token is retrieved via the `authorization` header and\nparsed with `utils.auth_utils.get_current_user_id`, then propagated as `user_id`\nand `tenant_id` to services/database helpers.\n\"\"\"\n\nimport logging\n\nfrom consts.model import (\n    BatchCreateModelsRequest,\n    ModelRequest,\n    ProviderModelRequest,\n    ManageTenantModelListRequest,\n    ManageTenantModelListResponse,\n    ManageTenantModelCreateRequest,\n    ManageTenantModelUpdateRequest,\n    ManageTenantModelDeleteRequest,\n    ManageTenantModelHealthcheckRequest,\n    ManageBatchCreateModelsRequest,\n    ManageProviderModelListRequest,\n    ManageProviderModelCreateRequest,\n)\n\nfrom fastapi import APIRouter, Header, Query, HTTPException\nfrom fastapi.responses import JSONResponse\nfrom fastapi.encoders import jsonable_encoder\nfrom http import HTTPStatus\nfrom typing import List, Optional\nfrom services.model_health_service import (\n    check_model_connectivity,\n    verify_model_config_connectivity,\n)\nfrom services.model_management_service import (\n    create_model_for_tenant,\n    create_provider_models_for_tenant,\n    batch_create_models_for_tenant,\n    list_provider_models_for_tenant,\n    update_single_model_for_tenant,\n    batch_update_models_for_tenant,\n    delete_model_for_tenant,\n    list_models_for_tenant,\n    list_llm_models_for_tenant,\n    list_models_for_admin,\n)\nfrom utils.auth_utils import get_current_user_id\n\n\nrouter = APIRouter(prefix=\"/model\")\nlogger = logging.getLogger(\"model_management_app\")\n\n\n@router.post(\"/create\")\nasync def create_model(request: ModelRequest, authorization: Optional[str] = Header(None)):\n    \"\"\"Create a single model record for the current tenant.\n\n    Responsibilities (App layer):\n    - Validate `ModelRequest` payload.\n    - Normalize request fields (e.g., replace localhost in `base_url`).\n    - Delegate embedding dimension checks and record creation to services/db.\n    - Ensure display name uniqueness at the app boundary; map conflicts accordingly.\n\n    Args:\n        request: Model configuration payload.\n        authorization: Bearer token header used to derive `user_id` and `tenant_id`.\n    \"\"\"\n    try:\n        user_id, tenant_id = get_current_user_id(authorization)\n        model_data = request.model_dump()\n        logger.debug(\n            f\"Start to create model, user_id: {user_id}, tenant_id: {tenant_id}\")\n        await create_model_for_tenant(user_id, tenant_id, model_data)\n        return JSONResponse(status_code=HTTPStatus.OK, content={\n            \"message\": \"Model created successfully\"\n        })\n    except ValueError as e:\n        logging.error(f\"Failed to create model: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.CONFLICT,\n                            detail=str(e))\n    except Exception as e:\n        logging.error(f\"Failed to create model: {str(e)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=str(e))\n\n\n@router.post(\"/provider/create\")\nasync def create_provider_model(request: ProviderModelRequest, authorization: Optional[str] = Header(None)):\n    \"\"\"Create or refresh provider models for the current tenant in memory only.\n\n    This endpoint fetches models from the specified provider and merges existing\n    attributes (such as `max_tokens`). It does not persist new records; it\n    returns the prepared model list for client consumption.\n\n    Args:\n        request: Provider and model type information.\n        authorization: Bearer token header used to derive identity context.\n    \"\"\"\n    try:\n        provider_model_config = request.model_dump()\n        _, tenant_id = get_current_user_id(authorization)\n        model_list = await create_provider_models_for_tenant(tenant_id, provider_model_config)\n        return JSONResponse(status_code=HTTPStatus.OK, content={\n            \"message\": \"Provider model created successfully\",\n            \"data\": model_list\n        })\n    except Exception as e:\n        logging.error(f\"Failed to create provider model: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n                            detail=str(e))\n\n\n@router.post(\"/provider/batch_create\")\nasync def batch_create_models(request: BatchCreateModelsRequest, authorization: Optional[str] = Header(None)):\n    \"\"\"Synchronize provider models for a tenant by creating/updating/deleting records.\n\n    The request includes the authoritative list of models for a provider/type.\n    Existing models not present in the incoming list are deleted (soft delete),\n    and missing ones are created. Existing models may be updated (e.g., `max_tokens`).\n\n    Args:\n        request: Batch payload with provider, type, models, and optional API key.\n        authorization: Bearer token header used to derive identity context.\n\n    \"\"\"\n    try:\n        user_id, tenant_id = get_current_user_id(authorization)\n        batch_model_config = request.model_dump()\n        await batch_create_models_for_tenant(user_id, tenant_id, batch_model_config)\n        return JSONResponse(status_code=HTTPStatus.OK, content={\n            \"message\": \"Batch create models successfully\"\n        })\n    except Exception as e:\n        logging.error(f\"Failed to batch create models: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n                            detail=str(e))\n\n\n@router.post(\"/provider/list\")\nasync def get_provider_list(request: ProviderModelRequest, authorization: Optional[str] = Header(None)):\n    \"\"\"List persisted models for a provider and type for the current tenant.\n\n    Args:\n        request: Provider and model type to filter.\n        authorization: Bearer token header used to derive identity context.\n\n    \"\"\"\n    try:\n        _, tenant_id = get_current_user_id(authorization)\n        model_list = await list_provider_models_for_tenant(\n            tenant_id, request.provider, request.model_type\n        )\n        return JSONResponse(status_code=HTTPStatus.OK, content={\n            \"message\": \"Successfully retrieved provider list\",\n            \"data\": jsonable_encoder(model_list)\n        })\n    except Exception as e:\n        logging.error(f\"Failed to get provider list: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n                            detail=str(e))\n\n\n@router.post(\"/update\")\nasync def update_single_model(\n    request: dict,\n    display_name: str = Query(..., description=\"Current display name of the model to update\"),\n    authorization: Optional[str] = Header(None)\n):\n    \"\"\"Update a single model by its current `display_name`.\n\n    The model is looked up using the `display_name` query parameter. The request\n    body contains the fields to update, which may include a new `display_name`.\n\n    Args:\n        request: Arbitrary model fields to update (may include new display_name).\n        display_name: Current display name of the model (query parameter for lookup).\n        authorization: Bearer token header used to derive identity context.\n\n    Raises:\n        HTTPException: 404 if model not found, 409 if new `display_name` conflicts,\n                       500 for unexpected errors.\n    \"\"\"\n    try:\n        user_id, tenant_id = get_current_user_id(authorization)\n        await update_single_model_for_tenant(user_id, tenant_id, display_name, request)\n        return JSONResponse(status_code=HTTPStatus.OK, content={\n            \"message\": \"Model updated successfully\"\n        })\n    except LookupError as e:\n        logging.error(f\"Failed to update model: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.NOT_FOUND,\n                            detail=str(e))\n    except ValueError as e:\n        logging.error(f\"Failed to update model: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.CONFLICT,\n                            detail=str(e))\n    except Exception as e:\n        logging.error(f\"Failed to update model: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n                            detail=str(e))\n\n\n@router.post(\"/batch_update\")\nasync def batch_update_models(request: List[dict], authorization: Optional[str] = Header(None)):\n    \"\"\"Batch update multiple models for the current tenant.\n\n    Args:\n        request: List of partial model payloads with `model_id` fields.\n        authorization: Bearer token header used to derive identity context.\n    \"\"\"\n    try:\n        user_id, tenant_id = get_current_user_id(authorization)\n        await batch_update_models_for_tenant(user_id, tenant_id, request)\n        return JSONResponse(status_code=HTTPStatus.OK, content={\n            \"message\": \"Batch update models successfully\"\n        })\n    except Exception as e:\n        logging.error(f\"Failed to batch update models: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n                            detail=str(e))\n\n\n@router.post(\"/delete\")\nasync def delete_model(display_name: str = Query(..., embed=True), authorization: Optional[str] = Header(None)):\n    \"\"\"Soft delete model(s) by `display_name` for the current tenant.\n\n    Behavior:\n    - If the model type is `embedding` or `multi_embedding`, both records with the\n      same `display_name` will be deleted to keep them in sync.\n\n    Args:\n        display_name: Display name of the model to delete (unique key).\n        authorization: Bearer token header used to derive identity context.\n    \"\"\"\n    try:\n        user_id, tenant_id = get_current_user_id(authorization)\n        logger.info(\n            f\"Start to delete model, user_id: {user_id}, tenant_id: {tenant_id}\")\n        model_name = await delete_model_for_tenant(user_id, tenant_id, display_name)\n        return JSONResponse(status_code=HTTPStatus.OK, content={\n            \"message\": \"Model deleted successfully\",\n            \"data\": model_name\n        })\n    except LookupError as e:\n        logging.error(f\"Failed to delete model: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.NOT_FOUND,\n                            detail=str(e))\n    except Exception as e:\n        logging.error(f\"Failed to delete model: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n                            detail=str(e))\n\n\n@router.get(\"/list\")\nasync def get_model_list(authorization: Optional[str] = Header(None)):\n    \"\"\"Get detailed information for all models for the current tenant.\n\n    Returns each model enriched with repo-qualified `model_name` and a normalized\n    `connect_status` value.\n    \"\"\"\n    try:\n        user_id, tenant_id = get_current_user_id(authorization)\n        logger.debug(\n            f\"Start to list models, user_id: {user_id}, tenant_id: {tenant_id}\")\n        model_list = await list_models_for_tenant(tenant_id)\n        return JSONResponse(status_code=HTTPStatus.OK, content={\n            \"message\": \"Successfully retrieved model list\",\n            \"data\": jsonable_encoder(model_list)\n        })\n    except Exception as e:\n        logging.error(f\"Failed to list models: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n                            detail=str(e))\n\n\n@router.get(\"/llm_list\")\nasync def get_llm_model_list(authorization: Optional[str] = Header(None)):\n    \"\"\"Get list of LLM models for the current tenant.\"\"\"\n    try:\n        _, tenant_id = get_current_user_id(authorization)\n        llm_list = await list_llm_models_for_tenant(tenant_id)\n        return JSONResponse(status_code=HTTPStatus.OK, content={\n            \"message\": \"Successfully retrieved LLM list\",\n            \"data\": jsonable_encoder(llm_list)\n        })\n    except Exception as e:\n        logging.error(f\"Failed to retrieve LLM list: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n                            detail=str(e))\n\n\n@router.post(\"/healthcheck\")\nasync def check_model_health(\n        display_name: str = Query(..., description=\"Display name to check\"),\n        authorization: Optional[str] = Header(None)\n):\n    \"\"\"Check and update model connectivity, returning the latest status.\n\n    Args:\n        display_name: Display name of the model to check.\n        authorization: Bearer token header used to derive identity context.\n    \"\"\"\n    try:\n        _, tenant_id = get_current_user_id(authorization)\n        result = await check_model_connectivity(display_name, tenant_id)\n        return JSONResponse(status_code=HTTPStatus.OK, content={\n            \"message\": \"Successfully checked model connectivity\",\n            \"data\": result\n        })\n    except LookupError as e:\n        logging.error(f\"Failed to check model connectivity: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.NOT_FOUND,\n                            detail=str(e))\n    except ValueError as e:\n        logging.error(f\"Invalid model configuration: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.BAD_REQUEST,\n                            detail=str(e))\n    except Exception as e:\n        logging.error(f\"Failed to check model connectivity: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n                            detail=str(e))\n\n\n@router.post(\"/temporary_healthcheck\")\nasync def check_temporary_model_health(request: ModelRequest):\n    \"\"\"Verify connectivity for the provided model configuration without persisting it.\n\n    Args:\n        request: Model configuration to verify.\n    \"\"\"\n    try:\n        result = await verify_model_config_connectivity(request.model_dump())\n        return JSONResponse(status_code=HTTPStatus.OK, content={\n            \"message\": \"Successfully verified model connectivity\",\n            \"data\": result\n        },\n        )\n    except Exception as e:\n        logging.error(f\"Failed to verify model connectivity: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n                            detail=str(e))\n\n\n# Manage Tenant Model CRUD Endpoints\n# ---------------------------------------------------------------------------\n\n@router.post(\"/manage/healthcheck\")\nasync def manage_check_model_health(\n    request: ManageTenantModelHealthcheckRequest,\n    authorization: Optional[str] = Header(None)\n):\n    \"\"\"Check and update model connectivity for a specified tenant (admin/manage operation).\n\n    This endpoint allows checking connectivity for any tenant's model, typically used by super admins.\n\n    Args:\n        request: Query request with target tenant_id and model display_name.\n        authorization: Bearer token header used to derive `user_id`.\n\n    Returns:\n        Connectivity check result with updated status.\n    \"\"\"\n    try:\n        user_id, _ = get_current_user_id(authorization)\n        logger.debug(\n            f\"Start to check model connectivity for tenant, user_id: {user_id}, \"\n            f\"target_tenant_id: {request.tenant_id}, display_name: {request.display_name}\")\n\n        result = await check_model_connectivity(request.display_name, request.tenant_id)\n        return JSONResponse(status_code=HTTPStatus.OK, content={\n            \"message\": \"Successfully checked model connectivity\",\n            \"data\": result\n        })\n    except LookupError as e:\n        logging.error(f\"Failed to check model connectivity for tenant: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.NOT_FOUND, detail=str(e))\n    except ValueError as e:\n        logging.error(f\"Invalid model configuration: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.BAD_REQUEST, detail=str(e))\n    except Exception as e:\n        logging.error(f\"Failed to check model connectivity for tenant: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=str(e))\n\n\n@router.post(\"/manage/create\")\nasync def manage_create_model(\n    request: ManageTenantModelCreateRequest,\n    authorization: Optional[str] = Header(None)\n):\n    \"\"\"Create a model in a specified tenant (admin/manage operation).\n\n    This endpoint allows creating models for any tenant, typically used by super admins.\n\n    Args:\n        request: Model configuration with target tenant_id.\n        authorization: Bearer token header used to derive `user_id`.\n\n    Returns:\n        Success message on successful creation.\n    \"\"\"\n    try:\n        user_id, _ = get_current_user_id(authorization)\n        logger.debug(\n            f\"Start to create model for tenant, user_id: {user_id}, target_tenant_id: {request.tenant_id}\")\n\n        model_data = request.model_dump(exclude={'tenant_id'})\n        await create_model_for_tenant(user_id, request.tenant_id, model_data)\n        return JSONResponse(status_code=HTTPStatus.OK, content={\n            \"message\": \"Model created successfully\",\n            \"data\": {\"tenant_id\": request.tenant_id}\n        })\n    except ValueError as e:\n        logging.error(f\"Failed to create model for tenant: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.CONFLICT, detail=str(e))\n    except Exception as e:\n        logging.error(f\"Failed to create model for tenant: {str(e)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=str(e))\n\n\n@router.post(\"/manage/update\")\nasync def manage_update_model(\n    request: ManageTenantModelUpdateRequest,\n    authorization: Optional[str] = Header(None)\n):\n    \"\"\"Update a model in a specified tenant (admin/manage operation).\n\n    This endpoint allows updating models for any tenant, typically used by super admins.\n\n    Args:\n        request: Update payload with target tenant_id and current display_name.\n        authorization: Bearer token header used to derive `user_id`.\n\n    Returns:\n        Success message on successful update.\n    \"\"\"\n    try:\n        user_id, _ = get_current_user_id(authorization)\n        logger.debug(\n            f\"Start to update model for tenant, user_id: {user_id}, target_tenant_id: {request.tenant_id}, \"\n            f\"current_display_name: {request.current_display_name}\")\n\n        model_data = request.model_dump(exclude={'tenant_id', 'current_display_name'}, exclude_unset=True)\n        await update_single_model_for_tenant(\n            user_id, request.tenant_id, request.current_display_name, model_data\n        )\n        return JSONResponse(status_code=HTTPStatus.OK, content={\n            \"message\": \"Model updated successfully\",\n            \"data\": {\"tenant_id\": request.tenant_id}\n        })\n    except LookupError as e:\n        logging.error(f\"Failed to update model for tenant: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.NOT_FOUND, detail=str(e))\n    except ValueError as e:\n        logging.error(f\"Failed to update model for tenant: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.CONFLICT, detail=str(e))\n    except Exception as e:\n        logging.error(f\"Failed to update model for tenant: {str(e)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=str(e))\n\n\n@router.post(\"/manage/delete\")\nasync def manage_delete_model(\n    request: ManageTenantModelDeleteRequest,\n    authorization: Optional[str] = Header(None)\n):\n    \"\"\"Delete a model from a specified tenant (admin/manage operation).\n\n    This endpoint allows deleting models from any tenant, typically used by super admins.\n\n    Args:\n        request: Delete request with target tenant_id and display_name.\n        authorization: Bearer token header used to derive `user_id`.\n\n    Returns:\n        Success message with deleted model name.\n    \"\"\"\n    try:\n        user_id, _ = get_current_user_id(authorization)\n        logger.debug(\n            f\"Start to delete model for tenant, user_id: {user_id}, target_tenant_id: {request.tenant_id}, \"\n            f\"display_name: {request.display_name}\")\n\n        model_name = await delete_model_for_tenant(\n            user_id, request.tenant_id, request.display_name\n        )\n        return JSONResponse(status_code=HTTPStatus.OK, content={\n            \"message\": \"Model deleted successfully\",\n            \"data\": {\n                \"tenant_id\": request.tenant_id,\n                \"display_name\": model_name\n            }\n        })\n    except LookupError as e:\n        logging.error(f\"Failed to delete model for tenant: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.NOT_FOUND, detail=str(e))\n    except Exception as e:\n        logging.error(f\"Failed to delete model for tenant: {str(e)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=str(e))\n\n\n@router.post(\"/manage/batch_create\")\nasync def manage_batch_create_models(\n    request: ManageBatchCreateModelsRequest,\n    authorization: Optional[str] = Header(None)\n):\n    \"\"\"Batch create/update models in a specified tenant (admin/manage operation).\n\n    This endpoint synchronizes provider models for any tenant by creating/updating/deleting records.\n    Typically used by super admins to bulk import models.\n\n    Args:\n        request: Batch payload with target tenant_id, provider, type, api_key, and models list.\n        authorization: Bearer token header used to derive `user_id`.\n\n    Returns:\n        Success message on completion.\n    \"\"\"\n    try:\n        user_id, _ = get_current_user_id(authorization)\n        logger.debug(\n            f\"Start to batch create models for tenant, user_id: {user_id}, target_tenant_id: {request.tenant_id}, \"\n            f\"provider: {request.provider}, type: {request.type}, models count: {len(request.models)}\")\n\n        batch_model_config = request.model_dump()\n        await batch_create_models_for_tenant(user_id, request.tenant_id, batch_model_config)\n        return JSONResponse(status_code=HTTPStatus.OK, content={\n            \"message\": \"Batch create models successfully\",\n            \"data\": {\n                \"tenant_id\": request.tenant_id,\n                \"provider\": request.provider,\n                \"type\": request.type,\n                \"models_count\": len(request.models)\n            }\n        })\n    except Exception as e:\n        logging.error(f\"Failed to batch create models for tenant: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=str(e))\n\n\n@router.post(\"/manage/list\", response_model=ManageTenantModelListResponse)\nasync def manage_list_models(\n    request: ManageTenantModelListRequest,\n    authorization: Optional[str] = Header(None)\n):\n    \"\"\"List models for a specified tenant (admin/manage operation).\n\n    This endpoint allows querying models for any tenant, typically used by super admins.\n\n    Args:\n        request: Query request with target tenant_id and pagination params.\n        authorization: Bearer token header used to derive `user_id`.\n\n    Returns:\n        Paginated model list for the specified tenant.\n    \"\"\"\n    try:\n        user_id, _ = get_current_user_id(authorization)\n        logger.debug(\n            f\"Start to list models for tenant, user_id: {user_id}, target_tenant_id: {request.tenant_id}, \"\n            f\"page: {request.page}, page_size: {request.page_size}\")\n\n        result = await list_models_for_admin(\n            request.tenant_id,\n            request.model_type,\n            request.page,\n            request.page_size\n        )\n        return JSONResponse(status_code=HTTPStatus.OK, content={\n            \"message\": \"Successfully retrieved model list\",\n            \"data\": jsonable_encoder(result)\n        })\n    except Exception as e:\n        logging.error(f\"Failed to list models for tenant: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n                            detail=str(e))\n\n\n@router.post(\"/manage/provider/list\")\nasync def manage_list_provider_models(\n    request: ManageProviderModelListRequest,\n    authorization: Optional[str] = Header(None)\n):\n    \"\"\"List provider models for a specified tenant (admin/manage operation).\n\n    This endpoint fetches persisted models from a provider for any tenant,\n    typically used by super admins when bulk importing models.\n\n    Args:\n        request: Query request with target tenant_id, provider, model_type.\n        authorization: Bearer token header used to derive `user_id`.\n\n    Returns:\n        List of available provider models for the specified tenant.\n    \"\"\"\n    try:\n        user_id, _ = get_current_user_id(authorization)\n        logger.debug(\n            f\"Start to list provider models for tenant, user_id: {user_id}, target_tenant_id: {request.tenant_id}, \"\n            f\"provider: {request.provider}, model_type: {request.model_type}\")\n\n        model_list = await list_provider_models_for_tenant(\n            request.tenant_id, request.provider, request.model_type\n        )\n        return JSONResponse(status_code=HTTPStatus.OK, content={\n            \"message\": \"Successfully retrieved provider model list\",\n            \"data\": jsonable_encoder(model_list)\n        })\n    except Exception as e:\n        logging.error(f\"Failed to list provider models for tenant: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n                            detail=str(e))\n\n\n@router.post(\"/manage/provider/create\")\nasync def manage_create_provider_models(\n    request: ManageProviderModelCreateRequest,\n    authorization: Optional[str] = Header(None)\n):\n    \"\"\"Create/fetch provider models for a specified tenant (admin/manage operation).\n\n    This endpoint fetches available models from a provider and prepares them for\n    bulk importing into a specific tenant, typically used by super admins.\n\n    Args:\n        request: Query request with target tenant_id, provider, model_type, and optional api_key/base_url.\n        authorization: Bearer token header used to derive `user_id`.\n\n    Returns:\n        List of available provider models for the specified tenant.\n    \"\"\"\n    try:\n        user_id, _ = get_current_user_id(authorization)\n        logger.debug(\n            f\"Start to create provider models for tenant, user_id: {user_id}, target_tenant_id: {request.tenant_id}, \"\n            f\"provider: {request.provider}, model_type: {request.model_type}\")\n\n        # Build provider request dict for the service function\n        provider_request = {\n            \"provider\": request.provider,\n            \"model_type\": request.model_type,\n            \"api_key\": request.api_key,\n            \"base_url\": request.base_url,\n        }\n        model_list = await create_provider_models_for_tenant(\n            request.tenant_id, provider_request\n        )\n        return JSONResponse(status_code=HTTPStatus.OK, content={\n            \"message\": \"Successfully created provider models\",\n            \"data\": jsonable_encoder(model_list)\n        })\n    except Exception as e:\n        logging.error(f\"Failed to create provider models for tenant: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n                            detail=str(e))\n"
  },
  {
    "path": "backend/apps/northbound_app.py",
    "content": "import logging\nfrom http import HTTPStatus\nfrom typing import Optional, Dict, Any\nimport uuid\n\nfrom fastapi import APIRouter, Body, Header, Request, HTTPException, Query\nfrom fastapi.responses import JSONResponse\n\nfrom consts.exceptions import LimitExceededError, UnauthorizedError\nfrom services.northbound_service import (\n    NorthboundContext,\n    get_conversation_history,\n    list_conversations,\n    start_streaming_chat,\n    stop_chat,\n    get_agent_info_list,\n    update_conversation_title,\n)\n\nfrom utils.auth_utils import validate_bearer_token, get_user_and_tenant_by_access_key\n\n\nrouter = APIRouter(prefix=\"/nb/v1\", tags=[\"northbound\"])\n\n\nasync def _get_northbound_context(request: Request) -> NorthboundContext:\n    \"\"\"\n    Build northbound context from request.\n\n    Authentication: Bearer Token (API Key) in Authorization header\n    - Authorization: Bearer <access_key>\n\n    The user_id and tenant_id are derived from the access_key by querying\n    user_token_info_t and user_tenant_t tables.\n\n    Optional headers:\n    - X-Request-Id: Request ID, generated if not provided\n    \"\"\"\n    # 1. Validate Bearer Token and extract access_key\n    try:\n        auth_header = request.headers.get(\"Authorization\")\n        is_valid, token_info = validate_bearer_token(auth_header)\n\n        if not is_valid or not token_info:\n            raise HTTPException(\n                status_code=HTTPStatus.UNAUTHORIZED,\n                detail=\"Invalid or missing bearer token\"\n            )\n\n        # Extract access_key from the token\n        access_key = auth_header.replace(\"Bearer \", \"\") if auth_header.startswith(\"Bearer \") else auth_header\n\n        # Get user_id and tenant_id from access_key\n        user_tenant_info = get_user_and_tenant_by_access_key(access_key)\n        resolved_user_id = user_tenant_info.get(\"user_id\")\n        resolved_tenant_id = user_tenant_info.get(\"tenant_id\")\n        token_id = user_tenant_info.get(\"token_id\")\n\n    except HTTPException:\n        raise\n    except LimitExceededError as e:\n        logging.error(f\"Too Many Requests: rate limit exceeded: {str(e)}\", exc_info=e)\n        raise HTTPException(status_code=HTTPStatus.TOO_MANY_REQUESTS,\n                            detail=\"Too Many Requests: rate limit exceeded\")\n    except UnauthorizedError as e:\n        raise HTTPException(\n            status_code=HTTPStatus.UNAUTHORIZED,\n            detail=str(e)\n        )\n    except Exception as e:\n        logging.error(f\"Failed to validate bearer token: {str(e)}\", exc_info=e)\n        raise HTTPException(\n            status_code=HTTPStatus.UNAUTHORIZED,\n            detail=\"Unauthorized: invalid API key\"\n        )\n\n    if not resolved_user_id:\n        raise HTTPException(\n            status_code=HTTPStatus.BAD_REQUEST,\n            detail=\"Missing user information for this access key\"\n        )\n\n    if not resolved_tenant_id:\n        raise HTTPException(\n            status_code=HTTPStatus.BAD_REQUEST,\n            detail=\"Missing tenant information for this access key\"\n        )\n\n    request_id = request.headers.get(\"X-Request-Id\") or str(uuid.uuid4())\n\n    # Get authorization header if present, otherwise use a placeholder\n    auth_header_value = request.headers.get(\"Authorization\", \"Bearer placeholder\")\n\n    return NorthboundContext(\n        request_id=request_id,\n        tenant_id=resolved_tenant_id,\n        user_id=resolved_user_id,\n        authorization=auth_header_value,\n        token_id=token_id,\n    )\n\n\n@router.get(\"/health\")\nasync def health_check():\n    return {\"status\": \"healthy\", \"service\": \"northbound-api\"}\n\n\n@router.post(\"/chat/run\")\nasync def run_chat(\n    request: Request,\n    conversation_id: Optional[int] = Body(None, embed=True),\n    agent_name: str = Body(..., embed=True),\n    query: str = Body(..., embed=True),\n    meta_data: Optional[Dict[str, Any]] = Body(None, embed=True),\n    idempotency_key: Optional[str] = Header(None, alias=\"Idempotency-Key\"),\n):\n    try:\n        ctx: NorthboundContext = await _get_northbound_context(request)\n        return await start_streaming_chat(\n            ctx=ctx,\n            conversation_id=conversation_id,\n            agent_name=agent_name,\n            query=query,\n            meta_data=meta_data,\n            idempotency_key=idempotency_key,\n        )\n    except LimitExceededError as e:\n        logging.error(f\"Too Many Requests: rate limit exceeded: {str(e)}\", exc_info=e)\n        raise HTTPException(status_code=HTTPStatus.TOO_MANY_REQUESTS,\n                            detail=\"Too Many Requests: rate limit exceeded\")\n    except HTTPException as e:\n        raise e\n    except Exception as e:\n        logging.error(f\"Failed to run chat: {str(e)}\", exc_info=e)\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=\"Internal Server Error\")\n\n\n@router.get(\"/chat/stop/{conversation_id}\")\nasync def stop_chat_stream(\n    request: Request,\n    conversation_id: int,\n    meta_data: Optional[str] = Query(None, description=\"Optional metadata as JSON string\"),\n):\n    import json\n    parsed_meta_data = None\n    if meta_data:\n        try:\n            parsed_meta_data = json.loads(meta_data)\n        except json.JSONDecodeError:\n            pass\n    try:\n        ctx: NorthboundContext = await _get_northbound_context(request)\n        return await stop_chat(ctx=ctx, conversation_id=conversation_id, meta_data=parsed_meta_data)\n    except LimitExceededError as e:\n        logging.error(f\"Too Many Requests: rate limit exceeded: {str(e)}\", exc_info=e)\n        raise HTTPException(status_code=HTTPStatus.TOO_MANY_REQUESTS,\n                            detail=\"Too Many Requests: rate limit exceeded\")\n    except HTTPException as e:\n        raise e\n    except Exception as e:\n        logging.error(f\"Failed to stop chat: {str(e)}\", exc_info=e)\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=\"Internal Server Error\")\n\n\n@router.get(\"/conversations/{conversation_id}\")\nasync def get_history(\n    request: Request,\n    conversation_id: int,\n):\n    try:\n        ctx: NorthboundContext = await _get_northbound_context(request)\n        return await get_conversation_history(ctx=ctx, conversation_id=conversation_id)\n    except LimitExceededError as e:\n        logging.error(f\"Too Many Requests: rate limit exceeded: {str(e)}\", exc_info=e)\n        raise HTTPException(status_code=HTTPStatus.TOO_MANY_REQUESTS,\n                            detail=\"Too Many Requests: rate limit exceeded\")\n    except HTTPException as e:\n        raise e\n    except Exception as e:\n        logging.error(f\"Failed to get conversation history: {str(e)}\", exc_info=e)\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=\"Internal Server Error\")\n\n\n@router.get(\"/agents\")\nasync def list_agents(request: Request):\n    try:\n        ctx: NorthboundContext = await _get_northbound_context(request)\n        return await get_agent_info_list(ctx=ctx)\n    except LimitExceededError as e:\n        logging.error(f\"Too Many Requests: rate limit exceeded: {str(e)}\", exc_info=e)\n        raise HTTPException(status_code=HTTPStatus.TOO_MANY_REQUESTS,\n                            detail=\"Too Many Requests: rate limit exceeded\")\n    except HTTPException as e:\n        raise e\n    except Exception as e:\n        logging.error(f\"Failed to list agents: {str(e)}\", exc_info=e)\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=\"Internal Server Error\")\n\n\n@router.get(\"/conversations\")\nasync def list_convs(request: Request):\n    try:\n        ctx: NorthboundContext = await _get_northbound_context(request)\n        return await list_conversations(ctx=ctx)\n    except LimitExceededError as e:\n        logging.error(f\"Too Many Requests: rate limit exceeded: {str(e)}\", exc_info=e)\n        raise HTTPException(status_code=HTTPStatus.TOO_MANY_REQUESTS,\n                            detail=\"Too Many Requests: rate limit exceeded\")\n    except HTTPException as e:\n        raise e\n    except Exception as e:\n        logging.error(f\"Failed to list conversations: {str(e)}\", exc_info=e)\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=\"Internal Server Error\")\n\n\n@router.put(\"/conversations/{conversation_id}/title\")\nasync def update_convs_title(\n    request: Request,\n    conversation_id: int,\n    title: str = Query(..., description=\"New title\"),\n    meta_data: Optional[str] = Query(None, description=\"Optional metadata as JSON string\"),\n    idempotency_key: Optional[str] = Header(None, alias=\"Idempotency-Key\"),\n):\n    import json\n    parsed_meta_data = None\n    if meta_data:\n        try:\n            parsed_meta_data = json.loads(meta_data)\n        except json.JSONDecodeError:\n            pass\n    try:\n        ctx: NorthboundContext = await _get_northbound_context(request)\n        result = await update_conversation_title(\n            ctx=ctx,\n            conversation_id=conversation_id,\n            title=title,\n            meta_data=parsed_meta_data,\n            idempotency_key=idempotency_key,\n        )\n        headers_out = {\n            \"Idempotency-Key\": result.get(\"idempotency_key\", \"\"), \"X-Request-Id\": ctx.request_id}\n        return JSONResponse(content=result, headers=headers_out)\n\n    except LimitExceededError as e:\n        logging.error(f\"Too Many Requests: rate limit exceeded: {str(e)}\", exc_info=e)\n        raise HTTPException(status_code=HTTPStatus.TOO_MANY_REQUESTS,\n                            detail=\"Too Many Requests: rate limit exceeded\")\n    except HTTPException as e:\n        raise e\n    except Exception as e:\n        logging.error(f\"Failed to update conversation title: {str(e)}\", exc_info=e)\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=\"Internal Server Error\")\n"
  },
  {
    "path": "backend/apps/northbound_base_app.py",
    "content": "import logging\n\nfrom apps.app_factory import create_app\nfrom .northbound_app import router as northbound_router\n\nlogger = logging.getLogger(\"northbound_base_app\")\n\n# Create FastAPI app with common configurations\nnorthbound_app = create_app(\n    title=\"Nexent Northbound API\",\n    description=\"Northbound APIs for partners\",\n    version=\"1.0.0\",\n    cors_methods=[\"GET\", \"POST\", \"PUT\", \"DELETE\"],\n    enable_monitoring=False  # Disable monitoring for northbound API if not needed\n)\n\nnorthbound_app.include_router(northbound_router)\n"
  },
  {
    "path": "backend/apps/prompt_app.py",
    "content": "import logging\nfrom http import HTTPStatus\nfrom typing import Optional\nfrom fastapi import APIRouter, Header, HTTPException, Request\nfrom fastapi.responses import StreamingResponse\n\nfrom consts.model import GeneratePromptRequest\nfrom services.prompt_service import gen_system_prompt_streamable\nfrom utils.auth_utils import get_current_user_info\n\nrouter = APIRouter(prefix=\"/prompt\")\nlogger = logging.getLogger(\"prompt_app\")\n\n\n@router.post(\"/generate\")\nasync def generate_and_save_system_prompt_api(\n        prompt_request: GeneratePromptRequest,\n        http_request: Request,\n        authorization: Optional[str] = Header(None)\n):\n    try:\n        user_id, tenant_id, language = get_current_user_info(\n            authorization, http_request)\n        return StreamingResponse(gen_system_prompt_streamable(\n            agent_id=prompt_request.agent_id,\n            model_id=prompt_request.model_id,\n            task_description=prompt_request.task_description,\n            user_id=user_id,\n            tenant_id=tenant_id,\n            language=language,\n            tool_ids=prompt_request.tool_ids,\n            sub_agent_ids=prompt_request.sub_agent_ids\n        ), media_type=\"text/event-stream\")\n    except Exception as e:\n        logger.exception(f\"Error occurred while generating system prompt: {e}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=\"Error occurred while generating system prompt.\")\n"
  },
  {
    "path": "backend/apps/remote_mcp_app.py",
    "content": "import logging\nimport json\nfrom typing import Optional\n\nfrom fastapi import APIRouter, Header, HTTPException, UploadFile, File, Form, Query, Request\nfrom fastapi.responses import JSONResponse, StreamingResponse\nfrom http import HTTPStatus\n\nfrom consts.const import NEXENT_MCP_DOCKER_IMAGE, ENABLE_UPLOAD_IMAGE\nfrom consts.exceptions import MCPConnectionError, MCPNameIllegal, MCPContainerError\nfrom consts.model import MCPConfigRequest, MCPUpdateRequest\nfrom services.remote_mcp_service import (\n    add_remote_mcp_server_list,\n    delete_remote_mcp_server_list,\n    get_remote_mcp_server_list,\n    check_mcp_health_and_update_db,\n    delete_mcp_by_container_id,\n    upload_and_start_mcp_image,\n    update_remote_mcp_server_list,\n    attach_mcp_container_permissions,\n    get_mcp_record_by_id,\n)\nfrom database.remote_mcp_db import check_mcp_name_exists\nfrom services.tool_configuration_service import get_tool_from_remote_mcp_server\nfrom services.mcp_container_service import MCPContainerManager\nfrom utils.auth_utils import get_current_user_info\n\nrouter = APIRouter(prefix=\"/mcp\")\nlogger = logging.getLogger(\"remote_mcp_app\")\n\n\n@router.post(\"/tools\")\nasync def get_tools_from_remote_mcp(\n    service_name: str,\n    mcp_url: str,\n    authorization: Optional[str] = Header(None),\n    http_request: Request = None\n):\n    \"\"\" Used to list tool information from the remote MCP server \"\"\"\n    try:\n        user_id, tenant_id, _ = get_current_user_info(\n            authorization, http_request)\n        tools_info = await get_tool_from_remote_mcp_server(\n            mcp_server_name=service_name,\n            remote_mcp_server=mcp_url,\n            tenant_id=tenant_id\n        )\n        return JSONResponse(\n            status_code=HTTPStatus.OK,\n            content={\n                \"tools\": [tool.__dict__ for tool in tools_info], \"status\": \"success\"}\n        )\n    except MCPConnectionError as e:\n        logger.error(f\"Failed to get tools from remote MCP server: {e}\")\n        raise HTTPException(status_code=HTTPStatus.SERVICE_UNAVAILABLE,\n                            detail=\"MCP connection failed\")\n    except Exception as e:\n        logger.error(f\"get tools from remote MCP server failed, error: {e}\")\n        raise HTTPException(status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n                            detail=\"Failed to get tools from remote MCP server.\")\n\n\n@router.post(\"/add\")\nasync def add_remote_proxies(\n    mcp_url: str,\n    service_name: str,\n    authorization_token: Optional[str] = Query(\n        None, description=\"Authorization token for MCP server authentication (e.g., Bearer token)\"),\n    tenant_id: Optional[str] = Query(\n        None, description=\"Tenant ID for filtering (uses auth if not provided)\"),\n    authorization: Optional[str] = Header(None),\n    http_request: Request = None\n):\n    \"\"\" Used to add a remote MCP server \"\"\"\n    try:\n        user_id, auth_tenant_id, _ = get_current_user_info(\n            authorization, http_request)\n        # Use explicit tenant_id if provided, otherwise fall back to auth tenant_id\n        effective_tenant_id = tenant_id or auth_tenant_id\n        await add_remote_mcp_server_list(tenant_id=effective_tenant_id,\n                                         user_id=user_id,\n                                         remote_mcp_server=mcp_url,\n                                         remote_mcp_server_name=service_name,\n                                         container_id=None,\n                                         authorization_token=authorization_token)\n        return JSONResponse(\n            status_code=HTTPStatus.OK,\n            content={\"message\": \"Successfully added remote MCP proxy\",\n                     \"status\": \"success\"}\n        )\n\n    except MCPNameIllegal as e:\n        logger.error(f\"Failed to add remote MCP proxy: {e}\")\n        raise HTTPException(status_code=HTTPStatus.CONFLICT,\n                            detail=\"MCP name already exists\")\n    except MCPConnectionError as e:\n        logger.error(f\"Failed to add remote MCP proxy: {e}\")\n        raise HTTPException(status_code=HTTPStatus.SERVICE_UNAVAILABLE,\n                            detail=\"MCP connection failed\")\n    except Exception as e:\n        logger.error(f\"Failed to add remote MCP proxy: {e}\")\n        raise HTTPException(status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n                            detail=\"Failed to add remote MCP proxy\")\n\n\n@router.delete(\"\")\nasync def delete_remote_proxies(\n    service_name: str,\n    mcp_url: str,\n    tenant_id: Optional[str] = Query(\n        None, description=\"Tenant ID for filtering (uses auth if not provided)\"),\n    authorization: Optional[str] = Header(None),\n    http_request: Request = None\n):\n    \"\"\" Used to delete a remote MCP server \"\"\"\n    try:\n        user_id, auth_tenant_id, _ = get_current_user_info(\n            authorization, http_request)\n        # Use explicit tenant_id if provided, otherwise fall back to auth tenant_id\n        effective_tenant_id = tenant_id or auth_tenant_id\n        await delete_remote_mcp_server_list(tenant_id=effective_tenant_id,\n                                            user_id=user_id,\n                                            remote_mcp_server=mcp_url,\n                                            remote_mcp_server_name=service_name)\n        return JSONResponse(\n            status_code=HTTPStatus.OK,\n            content={\"message\": \"Successfully deleted remote MCP proxy\",\n                     \"status\": \"success\"}\n        )\n    except Exception as e:\n        logger.error(f\"Failed to delete remote MCP proxy: {e}\")\n        raise HTTPException(status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n                            detail=\"Failed to delete remote MCP proxy\")\n\n\n@router.put(\"/update\")\nasync def update_remote_proxy(\n    update_data: MCPUpdateRequest,\n    tenant_id: Optional[str] = Query(\n        None, description=\"Tenant ID for filtering (uses auth if not provided)\"),\n    authorization: Optional[str] = Header(None),\n    http_request: Request = None\n):\n    \"\"\" Used to update an existing remote MCP server \"\"\"\n    try:\n        user_id, auth_tenant_id, _ = get_current_user_info(\n            authorization, http_request)\n        # Use explicit tenant_id if provided, otherwise fall back to auth tenant_id\n        effective_tenant_id = tenant_id or auth_tenant_id\n        await update_remote_mcp_server_list(\n            update_data=update_data,\n            tenant_id=effective_tenant_id,\n            user_id=user_id\n        )\n        return JSONResponse(\n            status_code=HTTPStatus.OK,\n            content={\"message\": \"Successfully updated remote MCP proxy\",\n                     \"status\": \"success\"}\n        )\n    except MCPNameIllegal as e:\n        logger.error(f\"Failed to update remote MCP proxy: {e}\")\n        raise HTTPException(status_code=HTTPStatus.CONFLICT,\n                            detail=str(e))\n    except MCPConnectionError as e:\n        logger.error(f\"Failed to update remote MCP proxy: {e}\")\n        raise HTTPException(status_code=HTTPStatus.SERVICE_UNAVAILABLE,\n                            detail=str(e))\n    except Exception as e:\n        logger.error(f\"Failed to update remote MCP proxy: {e}\")\n        raise HTTPException(status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n                            detail=\"Failed to update remote MCP proxy\")\n\n\n@router.get(\"/list\")\nasync def get_remote_proxies(\n    tenant_id: Optional[str] = Query(\n        None, description=\"Tenant ID for filtering (uses auth if not provided)\"),\n    authorization: Optional[str] = Header(None),\n    http_request: Request = None\n):\n    \"\"\" Used to get the list of remote MCP servers \"\"\"\n    try:\n        user_id, auth_tenant_id, _ = get_current_user_info(\n            authorization, http_request)\n        # Use explicit tenant_id if provided, otherwise fall back to auth tenant_id\n        effective_tenant_id = tenant_id or auth_tenant_id\n        remote_mcp_server_list = await get_remote_mcp_server_list(\n            tenant_id=effective_tenant_id,\n            user_id=user_id,\n            is_need_auth=False\n        )\n        return JSONResponse(\n            status_code=HTTPStatus.OK,\n            content={\"remote_mcp_server_list\": remote_mcp_server_list,\n                     \"enable_upload_image\": ENABLE_UPLOAD_IMAGE,\n                     \"status\": \"success\"}\n        )\n    except Exception as e:\n        logger.error(f\"Failed to get remote MCP proxy: {e}\")\n        raise HTTPException(status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n                            detail=\"Failed to get remote MCP proxy\")\n\n\n@router.get(\"/record/{mcp_id}\")\nasync def get_mcp_record(\n    mcp_id: int,\n    tenant_id: Optional[str] = Query(\n        None, description=\"Tenant ID for filtering (uses auth if not provided)\"),\n    authorization: Optional[str] = Header(None),\n    http_request: Request = None\n):\n    \"\"\" Get single MCP record by ID \"\"\"\n    try:\n        user_id, auth_tenant_id, _ = get_current_user_info(\n            authorization, http_request)\n        # Use explicit tenant_id if provided, otherwise fall back to auth tenant_id\n        effective_tenant_id = tenant_id or auth_tenant_id\n\n        mcp_record = await get_mcp_record_by_id(\n            mcp_id=mcp_id,\n            tenant_id=effective_tenant_id\n        )\n\n        if not mcp_record:\n            raise HTTPException(\n                status_code=HTTPStatus.NOT_FOUND,\n                detail=\"MCP record not found\"\n            )\n\n        return JSONResponse(\n            status_code=HTTPStatus.OK,\n            content={\n                \"mcp_name\": mcp_record.get(\"mcp_name\"),\n                \"mcp_server\": mcp_record.get(\"mcp_server\"),\n                \"authorization_token\": mcp_record.get(\"authorization_token\"),\n                \"status\": \"success\"\n            }\n        )\n    except HTTPException:\n        raise\n    except Exception as e:\n        logger.error(f\"Failed to get MCP record: {e}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n            detail=\"Failed to get MCP record\"\n        )\n\n\n@router.get(\"/healthcheck\")\nasync def check_mcp_health(\n    mcp_url: str,\n    service_name: str,\n    tenant_id: Optional[str] = Query(\n        None, description=\"Tenant ID for filtering (uses auth if not provided)\"),\n    authorization: Optional[str] = Header(None),\n    http_request: Request = None\n):\n    \"\"\" Used to check the health of the MCP server, the front end can call it,\n    and automatically update the database status \"\"\"\n    try:\n        user_id, auth_tenant_id, _ = get_current_user_info(\n            authorization, http_request)\n        # Use explicit tenant_id if provided, otherwise fall back to auth tenant_id\n        effective_tenant_id = tenant_id or auth_tenant_id\n        await check_mcp_health_and_update_db(mcp_url, service_name, effective_tenant_id, user_id)\n        return JSONResponse(\n            status_code=HTTPStatus.OK,\n            content={\"status\": \"success\"}\n        )\n    except MCPConnectionError as e:\n        logger.error(f\"MCP connection failed: {e}\")\n        raise HTTPException(status_code=HTTPStatus.SERVICE_UNAVAILABLE,\n                            detail=\"MCP connection failed\")\n    except Exception as e:\n        logger.error(f\"Failed to check the health of the MCP server: {e}\")\n        raise HTTPException(status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n                            detail=\"Failed to check the health of the MCP server\")\n\n\n@router.post(\"/add-from-config\")\nasync def add_mcp_from_config(\n    mcp_config: MCPConfigRequest,\n    tenant_id: Optional[str] = Query(\n        None, description=\"Tenant ID for filtering (uses auth if not provided)\"),\n    authorization: Optional[str] = Header(None),\n    http_request: Request = None\n):\n    \"\"\"\n    Add MCP server by starting a container with command+args config.\n    Similar to Cursor's MCP server configuration format.\n\n    Example request:\n    {\n        \"mcpServers\": {\n            \"12306-mcp\": {\n                \"command\": \"npx\",\n                \"args\": [\"-y\", \"12306-mcp\"],\n                \"env\": {\"NODE_ENV\": \"production\"}\n            }\n        }\n    }\n    \"\"\"\n    try:\n        user_id, auth_tenant_id, _ = get_current_user_info(\n            authorization, http_request)\n        # Use explicit tenant_id if provided, otherwise fall back to auth tenant_id\n        effective_tenant_id = tenant_id or auth_tenant_id\n\n        # Initialize container manager\n        try:\n            container_manager = MCPContainerManager()\n        except MCPContainerError as e:\n            logger.error(f\"Failed to initialize container manager: {e}\")\n            raise HTTPException(\n                status_code=HTTPStatus.SERVICE_UNAVAILABLE,\n                detail=\"Docker service unavailable. Please ensure Docker socket is mounted.\"\n            )\n\n        results = []\n        errors = []\n\n        for service_name, config in mcp_config.mcpServers.items():\n            try:\n                command = config.command\n                args = config.args or []\n                env_vars = config.env or {}\n                port = config.port\n\n                if not command:\n                    errors.append(f\"{service_name}: command is required\")\n                    continue\n\n                if port is None:\n                    errors.append(f\"{service_name}: port is required\")\n                    continue\n\n                # Check if MCP service name already exists before starting container\n                if check_mcp_name_exists(mcp_name=service_name, tenant_id=effective_tenant_id):\n                    errors.append(f\"{service_name}: MCP name already exists\")\n                    continue\n\n                # Build full command to run inside nexent/nexent-mcp image\n                full_command = [\n                    \"python\",\n                    \"-m\",\n                    \"mcp_proxy\",\n                    \"--host\",\n                    \"0.0.0.0\",\n                    \"--port\",\n                    str(port),\n                    \"--transport\",\n                    \"streamablehttp\",\n                    \"--\",\n                    command,\n                    *args,\n                ]\n\n                # Start container\n                container_info = await container_manager.start_mcp_container(\n                    service_name=service_name,\n                    tenant_id=effective_tenant_id,\n                    user_id=user_id,\n                    env_vars=env_vars,\n                    host_port=port,\n                    image=config.image or NEXENT_MCP_DOCKER_IMAGE,\n                    full_command=full_command,\n                )\n\n                # Register to remote MCP server list\n                await add_remote_mcp_server_list(\n                    tenant_id=effective_tenant_id,\n                    user_id=user_id,\n                    remote_mcp_server=container_info[\"mcp_url\"],\n                    remote_mcp_server_name=service_name,\n                    container_id=container_info[\"container_id\"],\n                )\n\n                results.append({\n                    \"service_name\": service_name,\n                    \"status\": \"success\",\n                    \"mcp_url\": container_info[\"mcp_url\"],\n                    \"container_id\": container_info[\"container_id\"],\n                    \"container_name\": container_info.get(\"container_name\"),\n                    \"host_port\": container_info.get(\"host_port\")\n                })\n\n            except MCPContainerError as e:\n                logger.error(\n                    f\"Failed to start MCP container {service_name}: {e}\")\n                error_str = str(e)\n                # Check if error is related to image not found\n                if \"not found\" in error_str.lower() or \"404\" in error_str:\n                    errors.append(\n                        f\"{service_name}: Image not found - MCP service startup image is missing\")\n                else:\n                    errors.append(f\"{service_name}: {error_str}\")\n            except Exception as e:\n                logger.error(\n                    f\"Unexpected error adding MCP {service_name}: {e}\")\n                errors.append(f\"{service_name}: {str(e)}\")\n\n        if errors and not results:\n            raise HTTPException(\n                status_code=HTTPStatus.BAD_REQUEST,\n                detail=f\"All MCP servers failed: {errors}\"\n            )\n\n        return JSONResponse(\n            status_code=HTTPStatus.OK,\n            content={\n                \"message\": \"MCP servers processed\",\n                \"results\": results,\n                \"errors\": errors if errors else None,\n                \"status\": \"success\"\n            }\n        )\n\n    except HTTPException:\n        raise\n    except Exception as e:\n        logger.error(f\"Failed to add MCP from config: {e}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n            detail=f\"Failed to add MCP servers: {str(e)}\"\n        )\n\n\n@router.delete(\"/container/{container_id}\")\nasync def stop_mcp_container(\n    container_id: str,\n    tenant_id: Optional[str] = Query(\n        None, description=\"Tenant ID for filtering (uses auth if not provided)\"),\n    authorization: Optional[str] = Header(None),\n    http_request: Request = None\n):\n    \"\"\" Stop and remove MCP container \"\"\"\n    try:\n        user_id, auth_tenant_id, _ = get_current_user_info(\n            authorization, http_request)\n        # Use explicit tenant_id if provided, otherwise fall back to auth tenant_id\n        effective_tenant_id = tenant_id or auth_tenant_id\n\n        try:\n            container_manager = MCPContainerManager()\n        except MCPContainerError as e:\n            logger.error(f\"Failed to initialize container manager: {e}\")\n            raise HTTPException(\n                status_code=HTTPStatus.SERVICE_UNAVAILABLE,\n                detail=\"Docker service unavailable\"\n            )\n\n        success = await container_manager.stop_mcp_container(container_id)\n\n        if success:\n            # Soft delete the corresponding MCP record (if any) by container ID\n            await delete_mcp_by_container_id(\n                tenant_id=effective_tenant_id,\n                user_id=user_id,\n                container_id=container_id,\n            )\n            return JSONResponse(\n                status_code=HTTPStatus.OK,\n                content={\n                    \"message\": \"Container and MCP service stopped successfully\",\n                    \"status\": \"success\",\n                },\n            )\n        else:\n            return JSONResponse(\n                status_code=HTTPStatus.NOT_FOUND,\n                content={\"message\": \"Container not found\", \"status\": \"error\"},\n            )\n    except HTTPException:\n        raise\n    except Exception as e:\n        logger.error(f\"Failed to stop container: {e}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n            detail=f\"Failed to stop container: {str(e)}\"\n        )\n\n\n@router.get(\"/containers\")\nasync def list_mcp_containers(\n    tenant_id: Optional[str] = Query(\n        None, description=\"Tenant ID for filtering (uses auth if not provided)\"),\n    authorization: Optional[str] = Header(None),\n    http_request: Request = None\n):\n    \"\"\" List all MCP containers for the current tenant \"\"\"\n    try:\n        user_id, auth_tenant_id, _ = get_current_user_info(\n            authorization, http_request)\n        # Use explicit tenant_id if provided, otherwise fall back to auth tenant_id\n        effective_tenant_id = tenant_id or auth_tenant_id\n\n        try:\n            container_manager = MCPContainerManager()\n        except MCPContainerError as e:\n            logger.error(f\"Failed to initialize container manager: {e}\")\n            raise HTTPException(\n                status_code=HTTPStatus.SERVICE_UNAVAILABLE,\n                detail=\"Docker service unavailable\"\n            )\n\n        containers = container_manager.list_mcp_containers(\n            tenant_id=effective_tenant_id)\n        containers = attach_mcp_container_permissions(\n            containers=containers,\n            tenant_id=effective_tenant_id,\n            user_id=user_id,\n        )\n\n        return JSONResponse(\n            status_code=HTTPStatus.OK,\n            content={\n                \"containers\": containers,\n                \"status\": \"success\"\n            }\n        )\n    except HTTPException:\n        raise\n    except Exception as e:\n        logger.error(f\"Failed to list containers: {e}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n            detail=f\"Failed to list containers: {str(e)}\"\n        )\n\n\n@router.get(\"/container/{container_id}/logs\")\nasync def get_container_logs(\n    container_id: str,\n    tail: int = 100,\n    follow: bool = Query(\n        True, description=\"Whether to follow logs in real-time\"),\n    tenant_id: Optional[str] = Query(\n        None, description=\"Tenant ID for filtering (uses auth if not provided)\"),\n    authorization: Optional[str] = Header(None),\n    http_request: Request = None\n):\n    \"\"\" Get logs from MCP container via SSE stream \"\"\"\n    try:\n        user_id, auth_tenant_id, _ = get_current_user_info(\n            authorization, http_request)\n        # Use explicit tenant_id if provided, otherwise fall back to auth tenant_id\n        effective_tenant_id = tenant_id or auth_tenant_id\n\n        try:\n            container_manager = MCPContainerManager()\n        except MCPContainerError as e:\n            logger.error(f\"Failed to initialize container manager: {e}\")\n            raise HTTPException(\n                status_code=HTTPStatus.SERVICE_UNAVAILABLE,\n                detail=\"Docker service unavailable\"\n            )\n\n        async def generate_log_stream():\n            \"\"\"Generate SSE stream of container logs\"\"\"\n            try:\n                async for log_line in container_manager.stream_container_logs(\n                    container_id, tail=tail, follow=follow\n                ):\n                    # Format as SSE: data: {json}\\n\\n\n                    payload = json.dumps(\n                        {\"logs\": log_line, \"status\": \"success\"},\n                        ensure_ascii=False\n                    )\n                    yield f\"data: {payload}\\n\\n\"\n            except Exception as stream_error:\n                logger.error(f\"Error in log stream: {stream_error}\")\n                error_payload = json.dumps(\n                    {\n                        \"logs\": f\"An error occurred while streaming container logs.\",\n                        \"status\": \"error\"\n                    },\n                    ensure_ascii=False\n                )\n                yield f\"data: {error_payload}\\n\\n\"\n\n        return StreamingResponse(\n            generate_log_stream(),\n            media_type=\"text/event-stream\",\n            headers={\n                \"Cache-Control\": \"no-cache\",\n                \"Connection\": \"keep-alive\",\n                \"X-Accel-Buffering\": \"no\",\n            }\n        )\n    except HTTPException:\n        raise\n    except Exception as e:\n        logger.error(f\"Failed to get container logs: {e}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n            detail=f\"Failed to get container logs.\"\n        )\n\n\n# Conditionally add upload-image route based on ENABLE_UPLOAD_IMAGE setting\nif ENABLE_UPLOAD_IMAGE:\n    @router.post(\"/upload-image\")\n    async def upload_mcp_image(\n        file: UploadFile = File(..., description=\"Docker image tar file\"),\n        port: int = Form(..., ge=1, le=65535,\n                         description=\"Host port to expose the MCP server on (1-65535)\"),\n        service_name: Optional[str] = Form(\n            None, description=\"Name for the MCP service (auto-generated if not provided)\"),\n        env_vars: Optional[str] = Form(\n            None, description=\"Environment variables as JSON string\"),\n        tenant_id: Optional[str] = Form(\n            None, description=\"Tenant ID for filtering (uses auth if not provided)\"),\n        authorization: Optional[str] = Header(None),\n        http_request: Request = None\n    ):\n        \"\"\"\n        Upload Docker image tar file and start MCP container.\n\n        Container naming: {filename-without-extension}-{tenant-id[:8]}-{user-id[:8]}\n        \"\"\"\n        try:\n            user_id, auth_tenant_id, _ = get_current_user_info(\n                authorization, http_request)\n            # Use explicit tenant_id if provided, otherwise fall back to auth tenant_id\n            effective_tenant_id = tenant_id or auth_tenant_id\n\n            # Read file content\n            content = await file.read()\n\n            # Call service layer to handle the business logic\n            result = await upload_and_start_mcp_image(\n                tenant_id=effective_tenant_id,\n                user_id=user_id,\n                file_content=content,\n                filename=file.filename,\n                port=port,\n                service_name=service_name,\n                env_vars=env_vars,\n            )\n\n            return JSONResponse(status_code=HTTPStatus.OK, content=result)\n\n        except ValueError as e:\n            logger.error(f\"Validation error: {e}\")\n            raise HTTPException(\n                status_code=HTTPStatus.BAD_REQUEST, detail=str(e))\n        except MCPNameIllegal as e:\n            logger.error(f\"MCP name conflict: {e}\")\n            raise HTTPException(status_code=HTTPStatus.CONFLICT, detail=str(e))\n        except MCPContainerError as e:\n            logger.error(f\"Container error: {e}\")\n            raise HTTPException(\n                status_code=HTTPStatus.SERVICE_UNAVAILABLE, detail=str(e))\n        except Exception as e:\n            logger.error(f\"Failed to upload and start MCP container: {e}\")\n            raise HTTPException(\n                status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n                detail=f\"Failed to upload and start MCP container: {str(e)}\"\n            )\nelse:\n    logger.info(\n        \"MCP image upload feature is disabled (ENABLE_UPLOAD_IMAGE=false)\")\n"
  },
  {
    "path": "backend/apps/runtime_app.py",
    "content": "import logging\n\nfrom apps.app_factory import create_app\nfrom apps.agent_app import agent_runtime_router as agent_router\nfrom apps.voice_app import voice_runtime_router as voice_router\nfrom apps.conversation_management_app import router as conversation_management_router\nfrom apps.memory_config_app import router as memory_config_router\nfrom apps.file_management_app import file_management_runtime_router as file_management_router\nfrom middleware.exception_handler import ExceptionHandlerMiddleware\n\n# Create logger instance\nlogger = logging.getLogger(\"runtime_app\")\n\n# Create FastAPI app with common configurations\napp = create_app(title=\"Nexent Runtime API\", description=\"Runtime APIs\")\n\n# Add global exception handler middleware\napp.add_middleware(ExceptionHandlerMiddleware)\n\napp.include_router(agent_router)\napp.include_router(conversation_management_router)\napp.include_router(memory_config_router)\napp.include_router(file_management_router)\napp.include_router(voice_router)\n"
  },
  {
    "path": "backend/apps/tenant_app.py",
    "content": "\"\"\"\nTenant management API endpoints\n\"\"\"\nimport logging\nfrom typing import Optional\n\nfrom fastapi import APIRouter, HTTPException, Header, Body\nfrom http import HTTPStatus\nfrom starlette.responses import JSONResponse\n\nfrom consts.model import (\n    PaginationRequest,\n    TenantCreateRequest,\n    TenantUpdateRequest,\n)\nfrom consts.exceptions import NotFoundException, ValidationError, UnauthorizedError\nfrom services.tenant_service import (\n    create_tenant,\n    get_tenant_info,\n    get_tenants_paginated,\n    update_tenant_info,\n    delete_tenant,\n)\nfrom utils.auth_utils import get_current_user_id\n\nlogger = logging.getLogger(__name__)\nrouter = APIRouter(prefix=\"/tenants\", tags=[\"tenants\"])\n\n\n@router.post(\"\", response_model=None)\nasync def create_tenant_endpoint(\n    request: TenantCreateRequest,\n    authorization: Optional[str] = Header(None)\n) -> JSONResponse:\n    \"\"\"\n    Create a new tenant\n\n    Args:\n        request: Tenant creation request\n        authorization: Bearer token for authentication\n\n    Returns:\n        JSONResponse: Created tenant information\n    \"\"\"\n    try:\n        # Get current user ID from token\n        user_id, _ = get_current_user_id(authorization)\n\n        # Create tenant\n        tenant_info = create_tenant(\n            tenant_name=request.tenant_name,\n            created_by=user_id\n        )\n\n        logger.info(f\"Created tenant {tenant_info['tenant_id']} by user {user_id}\")\n\n        return JSONResponse(\n            status_code=HTTPStatus.CREATED,\n            content={\n                \"message\": \"Tenant created successfully\",\n                \"data\": tenant_info\n            }\n        )\n\n    except UnauthorizedError as exc:\n        logger.warning(f\"Unauthorized tenant creation attempt: {str(exc)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.UNAUTHORIZED,\n            detail=str(exc)\n        )\n    except ValidationError as exc:\n        logger.warning(f\"Tenant creation validation error: {str(exc)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.BAD_REQUEST,\n            detail=str(exc)\n        )\n    except Exception as exc:\n        logger.error(f\"Unexpected error during tenant creation: {str(exc)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n            detail=\"Failed to create tenant\"\n        )\n\n\n@router.get(\"/{tenant_id}\")\nasync def get_tenant_endpoint(tenant_id: str) -> JSONResponse:\n    \"\"\"\n    Get tenant information by tenant ID\n\n    Args:\n        tenant_id: Tenant identifier\n\n    Returns:\n        JSONResponse: Tenant information\n    \"\"\"\n    try:\n        # Get tenant info\n        tenant_info = get_tenant_info(tenant_id)\n\n        return JSONResponse(\n            status_code=HTTPStatus.OK,\n            content={\n                \"message\": \"Tenant retrieved successfully\",\n                \"data\": tenant_info\n            }\n        )\n\n    except NotFoundException as exc:\n        logger.warning(f\"Tenant not found: {tenant_id}\")\n        raise HTTPException(\n            status_code=HTTPStatus.NOT_FOUND,\n            detail=str(exc)\n        )\n    except Exception as exc:\n        logger.error(f\"Unexpected error retrieving tenant {tenant_id}: {str(exc)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n            detail=\"Failed to retrieve tenant\"\n        )\n\n\n@router.post(\"/tenant-list\")\nasync def get_all_tenants_endpoint(\n    pagination: PaginationRequest = Body(...)\n) -> JSONResponse:\n    \"\"\"\n    Get all tenants with pagination support\n\n    Args:\n        pagination: Pagination parameters (page, page_size)\n\n    Returns:\n        JSONResponse: Paginated list of tenants with total count\n    \"\"\"\n    try:\n        # Get paginated tenants\n        result = get_tenants_paginated(page=pagination.page, page_size=pagination.page_size)\n\n        return JSONResponse(\n            status_code=HTTPStatus.OK,\n            content={\n                \"message\": \"Tenants retrieved successfully\",\n                \"data\": result[\"data\"],\n                \"total\": result[\"total\"],\n                \"page\": result[\"page\"],\n                \"page_size\": result[\"page_size\"],\n                \"total_pages\": result[\"total_pages\"]\n            }\n        )\n\n    except Exception as exc:\n        logger.error(f\"Unexpected error retrieving tenants: {str(exc)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n            detail=\"Failed to retrieve tenants\"\n        )\n\n\n@router.put(\"/{tenant_id}\")\nasync def update_tenant_endpoint(\n    tenant_id: str,\n    request: TenantUpdateRequest,\n    authorization: Optional[str] = Header(None)\n) -> JSONResponse:\n    \"\"\"\n    Update tenant information\n\n    Args:\n        tenant_id: Tenant identifier\n        request: Tenant update request\n        authorization: Bearer token for authentication\n\n    Returns:\n        JSONResponse: Updated tenant information\n    \"\"\"\n    try:\n        # Get current user ID from token\n        user_id, _ = get_current_user_id(authorization)\n\n        # Update tenant\n        updated_tenant = update_tenant_info(\n            tenant_id=tenant_id,\n            tenant_name=request.tenant_name,\n            updated_by=user_id\n        )\n\n        logger.info(f\"Updated tenant {tenant_id} by user {user_id}\")\n\n        return JSONResponse(\n            status_code=HTTPStatus.OK,\n            content={\n                \"message\": \"Tenant updated successfully\",\n                \"data\": updated_tenant\n            }\n        )\n\n    except NotFoundException as exc:\n        logger.warning(f\"Tenant not found for update: {tenant_id}\")\n        raise HTTPException(\n            status_code=HTTPStatus.NOT_FOUND,\n            detail=str(exc)\n        )\n    except ValidationError as exc:\n        logger.warning(f\"Tenant update validation error: {str(exc)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.BAD_REQUEST,\n            detail=str(exc)\n        )\n    except UnauthorizedError as exc:\n        logger.warning(f\"Unauthorized tenant update attempt: {str(exc)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.UNAUTHORIZED,\n            detail=str(exc)\n        )\n    except Exception as exc:\n        logger.error(f\"Unexpected error during tenant update: {str(exc)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n            detail=\"Failed to update tenant\"\n        )\n\n\n@router.delete(\"/{tenant_id}\")\nasync def delete_tenant_endpoint(\n    tenant_id: str,\n    authorization: Optional[str] = Header(None)\n) -> JSONResponse:\n    \"\"\"\n    Delete tenant and all associated resources\n\n    This will:\n    - Delete all users in the tenant\n    - Delete all groups in the tenant\n    - Delete all models in the tenant\n    - Delete all knowledge bases in the tenant\n    - Delete all agents in the tenant\n    - Delete all MCP configurations in the tenant\n    - Delete all invitation codes in the tenant\n    - Delete all tenant configurations\n\n    Args:\n        tenant_id: Tenant identifier\n        authorization: Bearer token for authentication\n\n    Returns:\n        JSONResponse: Deletion result\n    \"\"\"\n    try:\n        # Get current user ID from token\n        user_id, _ = get_current_user_id(authorization)\n\n        # Perform tenant deletion with all associated resources\n        await delete_tenant(tenant_id, deleted_by=user_id)\n\n        logger.info(f\"Deleted tenant {tenant_id} and all associated resources by user {user_id}\")\n\n        return JSONResponse(\n            status_code=HTTPStatus.OK,\n            content={\n                \"message\": \"Tenant deleted successfully\",\n                \"data\": {\"tenant_id\": tenant_id}\n            }\n        )\n\n    except NotFoundException as exc:\n        logger.warning(f\"Tenant not found for deletion: {tenant_id}\")\n        raise HTTPException(\n            status_code=HTTPStatus.NOT_FOUND,\n            detail=str(exc)\n        )\n    except ValidationError as exc:\n        logger.warning(f\"Tenant deletion validation error: {str(exc)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.BAD_REQUEST,\n            detail=str(exc)\n        )\n    except UnauthorizedError as exc:\n        logger.warning(f\"Unauthorized tenant deletion attempt: {str(exc)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.UNAUTHORIZED,\n            detail=str(exc)\n        )\n    except Exception as exc:\n        logger.error(f\"Unexpected error during tenant deletion: {str(exc)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n            detail=\"Failed to delete tenant\"\n        )\n"
  },
  {
    "path": "backend/apps/tenant_config_app.py",
    "content": "import logging\nfrom http import HTTPStatus\n\nfrom fastapi import APIRouter, HTTPException\nfrom fastapi.responses import JSONResponse\n\nfrom consts.const import DEPLOYMENT_VERSION, APP_VERSION\n\nlogger = logging.getLogger(\"tenant_config_app\")\nrouter = APIRouter(prefix=\"/tenant_config\")\n\n\n@router.get(\"/deployment_version\")\ndef get_deployment_version():\n    \"\"\"\n    Get current deployment version (speed or full)\n    \"\"\"\n    try:\n        return JSONResponse(\n            status_code=HTTPStatus.OK,\n            content={\"deployment_version\": DEPLOYMENT_VERSION,\n                     \"app_version\": APP_VERSION,\n                     \"status\": \"success\"}\n        )\n    except Exception as e:\n        logger.error(f\"Failed to get deployment version, error: {e}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n            detail=\"Failed to get deployment version\"\n        )\n\n\n\n"
  },
  {
    "path": "backend/apps/tool_config_app.py",
    "content": "import logging\nfrom http import HTTPStatus\nfrom typing import Optional\n\nfrom fastapi import APIRouter, Header, HTTPException\nfrom fastapi.responses import JSONResponse\n\nfrom consts.exceptions import MCPConnectionError, NotFoundException\nfrom consts.model import ToolInstanceInfoRequest, ToolInstanceSearchRequest, ToolValidateRequest\nfrom services.tool_configuration_service import (\n    search_tool_info_impl,\n    update_tool_info_impl,\n    update_tool_list,\n    list_all_tools,\n    load_last_tool_config_impl,\n    validate_tool_impl,\n)\nfrom utils.auth_utils import get_current_user_id\n\nrouter = APIRouter(prefix=\"/tool\")\nlogger = logging.getLogger(\"tool_config_app\")\n\n\n@router.get(\"/list\")\nasync def list_tools_api(authorization: Optional[str] = Header(None)):\n    \"\"\"\n    List all system tools from PG dataset\n    \"\"\"\n    try:\n        _, tenant_id = get_current_user_id(authorization)\n        # now only admin can modify the tool, user_id is not used\n        return await list_all_tools(tenant_id=tenant_id)\n    except Exception as e:\n        logging.error(f\"Failed to get tool info, error in: {str(e)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=f\"Failed to get tool info, error in: {str(e)}\")\n\n\n@router.post(\"/search\")\nasync def search_tool_info_api(request: ToolInstanceSearchRequest, authorization: Optional[str] = Header(None)):\n    try:\n        _, tenant_id = get_current_user_id(authorization)\n        return search_tool_info_impl(request.agent_id, request.tool_id, tenant_id)\n    except Exception as e:\n        logging.error(f\"Failed to search tool, error in: {str(e)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=\"Failed to search tool info\")\n\n\n@router.post(\"/update\")\nasync def update_tool_info_api(request: ToolInstanceInfoRequest, authorization: Optional[str] = Header(None)):\n    \"\"\"\n    Update an existing tool, create or update tool instance\n    \"\"\"\n    try:\n        user_id, tenant_id = get_current_user_id(authorization)\n        return update_tool_info_impl(request, tenant_id, user_id)\n    except Exception as e:\n        logging.error(f\"Failed to update tool, error in: {str(e)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=f\"Failed to update tool, error in: {str(e)}\")\n\n\n@router.get(\"/scan_tool\")\nasync def scan_and_update_tool(\n    authorization: Optional[str] = Header(None)\n):\n    \"\"\" Used to update the tool list and status \"\"\"\n    try:\n        user_id, tenant_id = get_current_user_id(authorization)\n        await update_tool_list(tenant_id=tenant_id, user_id=user_id)\n        return JSONResponse(\n            status_code=HTTPStatus.OK,\n            content={\"message\": \"Successfully update tool\", \"status\": \"success\"}\n        )\n    except MCPConnectionError as e:\n        logger.error(f\"MCP connection failed: {e}\")\n        raise HTTPException(\n            status_code=HTTPStatus.SERVICE_UNAVAILABLE, detail=\"MCP connection failed\")\n    except Exception as e:\n        logger.error(f\"Failed to update tool: {e}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=\"Failed to update tool\")\n\n\n@router.get(\"/load_config/{tool_id}\")\nasync def load_last_tool_config(tool_id: int, authorization: Optional[str] = Header(None)):\n    try:\n        user_id, tenant_id = get_current_user_id(authorization)\n        tool_params = load_last_tool_config_impl(tool_id, tenant_id, user_id)\n        return JSONResponse(\n            status_code=HTTPStatus.OK,\n            content={\"message\": tool_params, \"status\": \"success\"}\n        )\n    except ValueError:\n        logger.error(f\"Tool configuration not found for tool ID: {tool_id}\")\n        raise HTTPException(\n            status_code=HTTPStatus.NOT_FOUND, detail=\"Tool configuration not found\")\n    except Exception as e:\n        logger.error(f\"Failed to load tool config: {e}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=\"Failed to load tool config\")\n\n\n@router.post(\"/validate\")\nasync def validate_tool(\n    request: ToolValidateRequest,\n    authorization: Optional[str] = Header(None)\n):\n    \"\"\"Validate specific tool based on source type\"\"\"\n    try:\n        user_id, tenant_id = get_current_user_id(authorization)\n        result = await validate_tool_impl(request, tenant_id, user_id)\n\n        return JSONResponse(\n            status_code=HTTPStatus.OK,\n            content=result\n        )\n    except MCPConnectionError as e:\n        logger.error(f\"MCP connection failed: {e}\")\n        raise HTTPException(\n            status_code=HTTPStatus.SERVICE_UNAVAILABLE,\n            detail=str(e)\n        )\n    except NotFoundException as e:\n        logger.error(f\"Tool not found: {e}\")\n        raise HTTPException(\n            status_code=HTTPStatus.NOT_FOUND,\n            detail=str(e)\n        )\n    except Exception as e:\n        logger.error(f\"Failed to validate tool: {e}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n            detail=str(e)\n        )\n"
  },
  {
    "path": "backend/apps/user_app.py",
    "content": "\"\"\"\nUser management API endpoints\n\"\"\"\nimport logging\nfrom typing import Optional\n\nfrom fastapi import APIRouter, HTTPException, Header\nfrom http import HTTPStatus\nfrom starlette.responses import JSONResponse\n\nfrom consts.model import (\n    UserListRequest, UserUpdateRequest\n)\nfrom services.user_service import (\n    get_users, update_user, delete_user_and_cleanup\n)\nfrom database.user_tenant_db import get_user_tenant_by_user_id\nfrom utils.auth_utils import get_current_user_id\n\nlogger = logging.getLogger(\"user_app\")\nrouter = APIRouter(prefix=\"/users\", tags=[\"users\"])\n\n\n@router.post(\"/list\")\nasync def get_users_endpoint(\n    request: UserListRequest,\n) -> JSONResponse:\n    \"\"\"\n    Get users belonging to a specific tenant with pagination\n\n    Args:\n        request: User list request with tenant_id, optional page, and page_size.\n                If page and page_size are not provided, returns all data.\n\n    Returns:\n        JSONResponse: List of users in the tenant (paginated or all)\n    \"\"\"\n    try:\n        # Get tenant users with pagination and sorting\n        result = get_users(request.tenant_id, request.page, request.page_size,\n                          request.sort_by, request.sort_order)\n\n        # Build response content\n        content = {\n            \"message\": \"Users retrieved successfully\",\n            \"data\": result[\"users\"],\n            \"total\": result[\"total\"]\n        }\n\n        # Add pagination info only if pagination was used\n        if request.page is not None and request.page_size is not None:\n            content[\"pagination\"] = {\n                \"page\": request.page,\n                \"page_size\": request.page_size,\n                \"total\": result[\"total\"],\n                \"total_pages\": result.get(\"total_pages\", (result[\"total\"] + request.page_size - 1) // request.page_size)\n            }\n\n        return JSONResponse(\n            status_code=HTTPStatus.OK,\n            content=content\n        )\n    except Exception as exc:\n        logger.error(f\"Unexpected error retrieving users for tenant {request.tenant_id}: {str(exc)}\")\n        # Include the actual error message for debugging\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n            detail=f\"Failed to retrieve users: {str(exc)}\"\n        )\n\n\n@router.put(\"/{user_id}\")\nasync def update_user_endpoint(\n    user_id: str,\n    request: UserUpdateRequest,\n    authorization: Optional[str] = Header(None)\n) -> JSONResponse:\n    \"\"\"\n    Update user information\n\n    Args:\n        user_id: User identifier\n        request: User update request containing role\n        authorization: Bearer token for authentication\n\n    Returns:\n        JSONResponse: Updated user information\n    \"\"\"\n    try:\n        # Get current user ID from token for access control\n        current_user_id, _ = get_current_user_id(authorization)\n\n        # Update user\n        updated_user = await update_user(user_id, request.model_dump(), current_user_id)\n\n        logger.info(f\"Updated user {user_id} by user {current_user_id}\")\n\n        return JSONResponse(\n            status_code=HTTPStatus.OK,\n            content={\n                \"message\": \"User updated successfully\",\n                \"data\": updated_user\n            }\n        )\n\n    except ValueError as exc:\n        logger.warning(f\"User update validation error for user {user_id}: {str(exc)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.BAD_REQUEST,\n            detail=str(exc)\n        )\n    except Exception as exc:\n        logger.error(f\"Unexpected error updating user {user_id}: {str(exc)}\")\n        # Include the actual error message for debugging\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n            detail=f\"Failed to update user: {str(exc)}\"\n        )\n\n\n@router.delete(\"/{user_id}\")\nasync def delete_user_endpoint(\n    user_id: str,\n    authorization: Optional[str] = Header(None)\n) -> JSONResponse:\n    \"\"\"\n    Permanently delete user and all related data.\n\n    This performs complete cleanup including:\n    - Soft-delete user-tenant relationship and groups\n    - Soft-delete memory configs and conversations\n    - Clear user-level memories\n    - Permanently delete user from Supabase\n\n    Args:\n        user_id: User identifier\n        authorization: Bearer token for authentication\n\n    Returns:\n        JSONResponse: Success status\n    \"\"\"\n    try:\n        # Get current user ID from token for access control\n        current_user_id, _ = get_current_user_id(authorization)\n\n        # Get user tenant ID for cleanup operations\n        user_tenant = get_user_tenant_by_user_id(user_id)\n        if not user_tenant:\n            raise ValueError(f\"User {user_id} not found\")\n\n        tenant_id = user_tenant[\"tenant_id\"]\n\n        # Perform complete user cleanup\n        await delete_user_and_cleanup(user_id, tenant_id)\n\n        logger.info(f\"Permanently deleted user {user_id} by admin {current_user_id}\")\n\n        return JSONResponse(\n            status_code=HTTPStatus.OK,\n            content={\n                \"message\": \"User deleted successfully\"\n            }\n        )\n\n    except ValueError as exc:\n        logger.warning(f\"User deletion validation error for user {user_id}: {str(exc)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.BAD_REQUEST,\n            detail=str(exc)\n        )\n    except Exception as exc:\n        logger.error(f\"Unexpected error deleting user {user_id}: {str(exc)}\")\n        # Include the actual error message for debugging\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n            detail=f\"Failed to delete user: {str(exc)}\"\n        )\n\n"
  },
  {
    "path": "backend/apps/user_management_app.py",
    "content": "import logging\n\nfrom dotenv import load_dotenv\nfrom fastapi import APIRouter, Header, Query, Request, HTTPException\nfrom fastapi.responses import JSONResponse\nfrom http import HTTPStatus\nfrom typing import Optional\n\nfrom supabase_auth.errors import AuthApiError, AuthWeakPasswordError\n\nfrom consts.model import UserSignInRequest, UserSignUpRequest\nfrom consts.exceptions import NoInviteCodeException, IncorrectInviteCodeException, UserRegistrationException\nfrom services.user_management_service import get_authorized_client, validate_token, \\\n    check_auth_service_health, signup_user_with_invitation, signin_user, refresh_user_token, \\\n    get_session_by_authorization, get_user_info, create_token, list_tokens_by_user, delete_token\nfrom services.user_service import delete_user_and_cleanup\nfrom consts.exceptions import UnauthorizedError\nfrom utils.auth_utils import get_current_user_id\n\n\nload_dotenv()\nlogging.getLogger(\"httpx\").setLevel(logging.WARNING)\nrouter = APIRouter(prefix=\"/user\", tags=[\"user\"])\n\n\n@router.get(\"/service_health\")\nasync def service_health():\n    \"\"\"Service health check\"\"\"\n    try:\n        await check_auth_service_health()\n\n        return JSONResponse(status_code=HTTPStatus.OK,\n                            content={\"message\": \"Auth service is available\"})\n    except ConnectionError as e:\n        logging.error(f\"Auth service health check failed: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.SERVICE_UNAVAILABLE, detail=\"Auth service is unavailable\")\n    except Exception as e:\n        logging.error(f\"Auth service health check failed: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=\"Auth service is unavailable\")\n\n\n@router.post(\"/signup\")\nasync def signup(request: UserSignUpRequest):\n    \"\"\"User registration\"\"\"\n    try:\n        user_data = await signup_user_with_invitation(email=request.email,\n                                                      password=request.password,\n                                                      invite_code=request.invite_code,\n                                                      auto_login=request.auto_login)\n        success_message = \"🎉 User account registered successfully! Please start experiencing the AI assistant service.\"\n        return JSONResponse(status_code=HTTPStatus.OK,\n                            content={\"message\":success_message, \"data\":user_data})\n    except NoInviteCodeException as e:\n        logging.error(f\"User registration failed by invite code: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n                            detail=\"INVITE_CODE_NOT_CONFIGURED\")\n    except IncorrectInviteCodeException as e:\n        logging.error(f\"User registration failed by invite code: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n                            detail=\"INVITE_CODE_INVALID\")\n    except UserRegistrationException as e:\n        logging.error(f\"User registration failed by registration service: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n                            detail=\"REGISTRATION_SERVICE_ERROR\")\n    except AuthApiError as e:\n        logging.error(f\"User registration failed by email already exists: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.CONFLICT,\n                            detail=\"EMAIL_ALREADY_EXISTS\")\n    except AuthWeakPasswordError as e:\n        logging.error(f\"User registration failed by weak password: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.NOT_ACCEPTABLE,\n                            detail=\"WEAK_PASSWORD\")\n    except Exception as e:\n        logging.error(f\"User registration failed, unknown error: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n                            detail=\"UNKNOWN_ERROR\")\n\n\n@router.post(\"/signin\")\nasync def signin(request: UserSignInRequest):\n    \"\"\"User login\"\"\"\n    try:\n        signin_content = await signin_user(email=request.email,\n                                      password=request.password)\n        return JSONResponse(status_code=HTTPStatus.OK,\n                            content=signin_content)\n    except AuthApiError as e:\n        logging.error(f\"User login failed: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.UNAUTHORIZED,\n                            detail=\"Email or password error\")\n    except Exception as e:\n        logging.error(f\"User login failed, unknown error: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n                            detail=\"Login failed\")\n\n\n@router.post(\"/refresh_token\")\nasync def user_refresh_token(request: Request):\n    \"\"\"Refresh token\"\"\"\n    authorization = request.headers.get(\"Authorization\")\n    if not authorization:\n        raise HTTPException(status_code=HTTPStatus.UNAUTHORIZED,\n                            detail=\"No authorization token provided\")\n    try:\n        session_data = await request.json()\n        refresh_token = session_data.get(\"refresh_token\")\n        if not refresh_token:\n            raise ValueError(\"No refresh token provided\")\n        session_info = await refresh_user_token(authorization, refresh_token)\n        return JSONResponse(status_code=HTTPStatus.OK,\n                            content={\"message\":\"Token refresh successful\", \"data\":{\"session\": session_info}})\n    except ValueError as e:\n        logging.error(f\"Refresh token failed: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.UNPROCESSABLE_ENTITY,\n                            detail=\"No refresh token provided\")\n    except Exception as e:\n        logging.error(f\"Refresh token failed: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n                            detail=\"Refresh token failed\")\n\n\n@router.post(\"/logout\")\nasync def logout(request: Request):\n    \"\"\"User logout\"\"\"\n    authorization = request.headers.get(\"Authorization\")\n    try:\n        # Make logout idempotent: if no token or token expired, still return success\n        if authorization:\n            client = get_authorized_client(authorization)\n            try:\n                client.auth.sign_out()\n            except Exception as signout_err:\n                # Ignore sign out errors to keep logout idempotent\n                logging.warning(\n                    f\"Sign out encountered an error but will be ignored: {str(signout_err)}\")\n        return JSONResponse(status_code=HTTPStatus.OK,\n                            content={\"message\":\"Logout successful\"})\n\n    except Exception as e:\n        logging.error(f\"User logout failed: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n                            detail=\"Logout failed!\")\n\n\n@router.get(\"/session\")\nasync def get_session(request: Request):\n    \"\"\"Get current user session\"\"\"\n    authorization = request.headers.get(\"Authorization\")\n    if not authorization:\n        # Treat as not logged in when missing token\n        return JSONResponse(status_code=HTTPStatus.OK,\n                            content={\"message\": \"User not logged in\",\n                                     \"data\": None})\n    try:\n        data = await get_session_by_authorization(authorization)\n        return JSONResponse(status_code=HTTPStatus.OK,\n                     content={\"message\": \"Session is valid\",\n                              \"data\": data})\n    except UnauthorizedError as e:\n        logging.error(f\"Get user session unauthorized: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.UNAUTHORIZED,\n                            detail=\"User not logged in or session invalid\")\n    except Exception as e:\n        logging.error(f\"error in get user session, {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n                            detail=\"Get user session failed\")\n\n\n@router.get(\"/current_user_info\")\nasync def get_user_information(request: Request):\n    \"\"\"Get current user information including user ID, group IDs, tenant ID, and role\"\"\"\n    authorization = request.headers.get(\"Authorization\")\n    if not authorization:\n        # Treat as not logged in when missing token\n        return JSONResponse(status_code=HTTPStatus.OK,\n                            content={\"message\": \"User not logged in\",\n                                     \"data\": None})\n\n    try:\n        # Use the unified token validation function to get user ID\n        is_valid, user = validate_token(authorization)\n        if not is_valid or not user:\n            raise UnauthorizedError(\"User not logged in or session invalid\")\n\n        user_id = user.id\n\n        # Get user information\n        user_info = await get_user_info(user_id)\n        if not user_info:\n            raise UnauthorizedError(\"User information not found\")\n\n        return JSONResponse(status_code=HTTPStatus.OK,\n                            content={\"message\": \"Success\",\n                                     \"data\": user_info})\n\n    except UnauthorizedError as e:\n        logging.error(f\"Get user information unauthorized: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.UNAUTHORIZED,\n                            detail=\"User not logged in or session invalid\")\n    except Exception as e:\n        logging.error(f\"Get user information failed: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n                            detail=\"Get user information failed\")\n\n\n@router.get(\"/current_user_id\")\nasync def get_user_id(request: Request):\n    \"\"\"Get current user ID, return None if not logged in\"\"\"\n    authorization = request.headers.get(\"Authorization\")\n    if not authorization:\n        # Treat as not logged in when missing token, return 200 with null user_id\n        return JSONResponse(status_code=HTTPStatus.OK,\n                            content={\"message\": \"User not logged in\",\n                                     \"data\": {\"user_id\": None}})\n    try:\n        # Use the unified token validation function (validates signature via Supabase)\n        is_valid, user = validate_token(authorization)\n        if is_valid and user:\n            return JSONResponse(status_code=HTTPStatus.OK,\n                                content={\"message\": \"Get user ID successfully\",\n                                         \"data\": {\"user_id\": user.id}})\n\n        # Token invalid or expired - do not trust unsigned JWT, return 401\n        logging.warning(\"Get user ID failed: token validation failed\")\n        raise HTTPException(status_code=HTTPStatus.UNAUTHORIZED,\n                            detail=\"User not logged in or session invalid\")\n    except HTTPException:\n        raise\n    except Exception as e:\n        logging.error(f\"Get user ID failed: {str(e)}\")\n        raise HTTPException(status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n                            detail=\"Get user ID failed\")\n\n\n@router.post(\"/revoke\")\nasync def revoke_user_account(request: Request):\n    \"\"\"Delete current regular user's account and purge related data.\n\n    Notes:\n    - Tenant admin (role=admin) is not allowed to be revoked via this endpoint.\n    - Idempotent: local deletions are soft deletes; Supabase deletion may already have occurred.\n    \"\"\"\n    authorization = request.headers.get(\"Authorization\")\n    if not authorization:\n        raise HTTPException(status_code=HTTPStatus.UNAUTHORIZED,\n                            detail=\"No authorization token provided\")\n    try:\n        # Identify current user and tenant\n        user_id, tenant_id = get_current_user_id(authorization)\n\n        # Determine role via token validation\n        is_valid, user = validate_token(authorization.replace(\"Bearer \", \"\"))\n        if not is_valid or not user:\n            raise UnauthorizedError(\"User not logged in or session invalid\")\n\n        # Extract role from user metadata\n        user_role = \"user\"\n        if getattr(user, \"user_metadata\", None) and 'role' in user.user_metadata:\n            user_role = user.user_metadata['role']\n\n        # Disallow admin revocation by this endpoint\n        if user_role == \"admin\":\n            raise HTTPException(status_code=HTTPStatus.FORBIDDEN,\n                                detail=\"Admin account cannot be deleted via this endpoint\")\n\n        # Orchestrate revoke for regular user\n        await delete_user_and_cleanup(user_id=user_id, tenant_id=tenant_id)\n\n        return JSONResponse(status_code=HTTPStatus.OK, content={\"message\": \"User account revoked\"})\n    except UnauthorizedError as e:\n        raise HTTPException(status_code=HTTPStatus.UNAUTHORIZED, detail=str(e))\n    except HTTPException:\n        raise\n    except Exception as e:\n        logging.error(f\"User revoke failed: {str(e)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=\"User revoke failed\")\n\n@router.post(\"/tokens\")\nasync def create_token_endpoint(\n    authorization: Optional[str] = Header(None)\n):\n    \"\"\"Create a new token for the authenticated user.\n\n    The user_id is extracted from the Authorization header (JWT token).\n    Returns the complete token including the secret key.\n    \"\"\"\n    try:\n        if not authorization:\n            raise HTTPException(status_code=HTTPStatus.UNAUTHORIZED,\n                                detail=\"Unauthorized: No authorization header found\")\n\n        user_id, _ = get_current_user_id(authorization)\n        if not user_id:\n            raise HTTPException(status_code=HTTPStatus.UNAUTHORIZED,\n                                detail=\"Unauthorized: missing user_id in JWT token\")\n\n        result = create_token(str(user_id))\n        return JSONResponse(\n            status_code=HTTPStatus.OK,\n            content={\"message\": \"success\", \"data\": result}\n        )\n    except HTTPException as e:\n        raise e\n    except Exception as e:\n        logging.error(f\"Failed to create token: {str(e)}\", exc_info=e)\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=\"Internal Server Error\")\n\n\n@router.get(\"/tokens\")\nasync def list_tokens_endpoint(\n    user_id: str = Query(..., description=\"User ID to query tokens for\"),\n    authorization: Optional[str] = Header(None)\n):\n    \"\"\"List all tokens for the specified user.\n\n    Returns token information with masked access keys (middle part replaced with *).\n    \"\"\"\n    try:\n        if not authorization:\n            raise HTTPException(status_code=HTTPStatus.UNAUTHORIZED,\n                                detail=\"Unauthorized: No authorization header found\")\n\n        request_user_id, _ = get_current_user_id(authorization)\n        if not request_user_id:\n            raise HTTPException(status_code=HTTPStatus.UNAUTHORIZED,\n                                detail=\"Unauthorized: missing user_id in JWT token\")\n\n        # Only allow users to list their own tokens\n        if str(request_user_id) != user_id:\n            raise HTTPException(status_code=HTTPStatus.FORBIDDEN,\n                                detail=\"Forbidden: cannot list tokens for other users\")\n\n        tokens = list_tokens_by_user(user_id)\n        return JSONResponse(\n            status_code=HTTPStatus.OK,\n            content={\"message\": \"success\", \"data\": tokens}\n        )\n    except HTTPException as e:\n        raise e\n    except Exception as e:\n        logging.error(f\"Failed to list tokens: {str(e)}\", exc_info=e)\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=\"Internal Server Error\")\n\n\n@router.delete(\"/tokens/{token_id}\")\nasync def delete_token_endpoint(\n    token_id: int,\n    authorization: Optional[str] = Header(None)\n):\n    \"\"\"Soft delete a token.\n\n    Only the owner of the token can delete it.\n    \"\"\"\n    try:\n        if not authorization:\n            raise HTTPException(status_code=HTTPStatus.UNAUTHORIZED,\n                                detail=\"Unauthorized: No authorization header found\")\n\n        user_id, _ = get_current_user_id(authorization)\n        if not user_id:\n            raise HTTPException(status_code=HTTPStatus.UNAUTHORIZED,\n                                detail=\"Unauthorized: missing user_id in JWT token\")\n\n        success = delete_token(token_id, str(user_id))\n        if not success:\n            raise HTTPException(status_code=HTTPStatus.NOT_FOUND,\n                                detail=\"Token not found or not owned by user\")\n\n        return JSONResponse(\n            status_code=HTTPStatus.OK,\n            content={\"message\": \"success\", \"data\": {\"token_id\": token_id}}\n        )\n    except HTTPException as e:\n        raise e\n    except Exception as e:\n        logging.error(f\"Failed to delete token: {str(e)}\", exc_info=e)\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=\"Internal Server Error\")\n"
  },
  {
    "path": "backend/apps/vectordatabase_app.py",
    "content": "import logging\nimport json\nfrom http import HTTPStatus\nfrom typing import Any, Dict, List, Optional\n\nfrom fastapi import APIRouter, Body, Depends, Header, HTTPException, Path, Query\nfrom fastapi.responses import JSONResponse\nimport re\n\nfrom consts.model import ChunkCreateRequest, ChunkUpdateRequest, HybridSearchRequest, IndexingResponse\nfrom nexent.vector_database.base import VectorDatabaseCore\nfrom services.vectordatabase_service import (\n    ElasticSearchService,\n    get_embedding_model,\n    get_vector_db_core,\n    check_knowledge_base_exist_impl,\n)\nfrom services.redis_service import get_redis_service\nfrom utils.auth_utils import get_current_user_id\nfrom utils.file_management_utils import get_all_files_status\nfrom database.knowledge_db import get_index_name_by_knowledge_name\n\nrouter = APIRouter(prefix=\"/indices\")\nservice = ElasticSearchService()\nlogger = logging.getLogger(\"vectordatabase_app\")\n\n\n@router.post(\"/check_exist\")\nasync def check_knowledge_base_exist(\n        request: Dict[str, str] = Body(\n            ..., description=\"Request body containing knowledge base name\"),\n        vdb_core: VectorDatabaseCore = Depends(get_vector_db_core),\n        authorization: Optional[str] = Header(None)\n):\n    \"\"\"Check if a knowledge base name exists in the current tenant.\"\"\"\n    try:\n        knowledge_name = request.get(\"knowledge_name\", \"\")\n        if not knowledge_name:\n            raise HTTPException(\n                status_code=HTTPStatus.BAD_REQUEST, detail=\"Knowledge base name is required\")\n\n        user_id, tenant_id = get_current_user_id(authorization)\n        return check_knowledge_base_exist_impl(knowledge_name=knowledge_name, vdb_core=vdb_core, user_id=user_id, tenant_id=tenant_id)\n    except Exception as e:\n        logger.error(\n            f\"Error checking knowledge base existence for '{knowledge_name}': {str(e)}\", exc_info=True)\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=f\"Error checking existence for knowledge base: {str(e)}\")\n\n\n@router.post(\"/{index_name}\")\ndef create_new_index(\n        index_name: str = Path(..., description=\"Name of the index to create\"),\n        embedding_dim: Optional[int] = Query(\n            None, description=\"Dimension of the embedding vectors\"),\n        request: Dict[str, Any] = Body(\n            None, description=\"Request body with optional fields (ingroup_permission, group_ids)\"),\n        vdb_core: VectorDatabaseCore = Depends(get_vector_db_core),\n        authorization: Optional[str] = Header(None)\n):\n    \"\"\"Create a new vector index and store it in the knowledge table\"\"\"\n    try:\n        user_id, tenant_id = get_current_user_id(authorization)\n\n        # Extract optional fields from request body\n        ingroup_permission = None\n        group_ids = None\n        if request:\n            ingroup_permission = request.get(\"ingroup_permission\")\n            group_ids = request.get(\"group_ids\")\n\n        # Treat path parameter as user-facing knowledge base name for new creations\n        return ElasticSearchService.create_knowledge_base(\n            knowledge_name=index_name,\n            embedding_dim=embedding_dim,\n            vdb_core=vdb_core,\n            user_id=user_id,\n            tenant_id=tenant_id,\n            ingroup_permission=ingroup_permission,\n            group_ids=group_ids,\n        )\n    except Exception as e:\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=f\"Error creating index: {str(e)}\")\n\n\n@router.delete(\"/{index_name}\")\nasync def delete_index(\n        index_name: str = Path(..., description=\"Name of the index to delete\"),\n        vdb_core: VectorDatabaseCore = Depends(get_vector_db_core),\n        authorization: Optional[str] = Header(None)\n):\n    \"\"\"Delete an index and all its related data by calling the centralized service.\"\"\"\n    logger.debug(f\"Received request to delete knowledge base: {index_name}\")\n    try:\n        user_id, tenant_id = get_current_user_id(authorization)\n        # Call the centralized full deletion service\n        result = await ElasticSearchService.full_delete_knowledge_base(index_name, vdb_core, user_id)\n        return result\n    except Exception as e:\n        logger.error(\n            f\"Error during API call to delete index '{index_name}': {str(e)}\", exc_info=True)\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=f\"Error deleting index: {str(e)}\")\n\n\n@router.patch(\"/{index_name}\")\nasync def update_index(\n        index_name: str = Path(..., description=\"Name of the index to update\"),\n        request: Dict[str, Any] = Body(...,\n                                       description=\"Update payload with knowledge_name, ingroup_permission, group_ids, and/or tenant_id\"),\n        authorization: Optional[str] = Header(None)\n):\n    \"\"\"Update knowledge base information (name, group permission, group assignments).\"\"\"\n    try:\n        user_id, auth_tenant_id = get_current_user_id(authorization)\n        # Use explicit tenant_id if provided, otherwise fall back to auth tenant_id\n        tenant_id = request.get(\"tenant_id\") or auth_tenant_id\n\n        # Extract update fields\n        knowledge_name = request.get(\"knowledge_name\")\n        ingroup_permission = request.get(\"ingroup_permission\")\n        group_ids = request.get(\"group_ids\")\n\n        # Call service layer to update knowledge base\n        result = ElasticSearchService.update_knowledge_base(\n            index_name=index_name,\n            knowledge_name=knowledge_name,\n            ingroup_permission=ingroup_permission,\n            group_ids=group_ids,\n            tenant_id=tenant_id,\n            user_id=user_id,\n        )\n\n        if result:\n            return JSONResponse(\n                status_code=HTTPStatus.OK,\n                content={\n                    \"message\": \"Knowledge base updated successfully\", \"status\": \"success\"}\n            )\n        else:\n            raise HTTPException(\n                status_code=HTTPStatus.NOT_FOUND,\n                detail=f\"Knowledge base '{index_name}' not found\"\n            )\n    except ValueError as exc:\n        raise HTTPException(\n            status_code=HTTPStatus.BAD_REQUEST,\n            detail=str(exc)\n        )\n    except HTTPException:\n        raise\n    except Exception as exc:\n        logger.error(\n            f\"Error updating index '{index_name}': {str(exc)}\", exc_info=True)\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=f\"Error updating index: {str(exc)}\")\n\n\n@router.get(\"\")\ndef get_list_indices(\n        pattern: str = Query(\"*\", description=\"Pattern to match index names\"),\n        include_stats: bool = Query(\n            False, description=\"Whether to include index stats\"),\n        tenant_id: Optional[str] = Query(\n            None, description=\"Tenant ID for filtering (uses auth if not provided)\"),\n        vdb_core: VectorDatabaseCore = Depends(get_vector_db_core),\n        authorization: Optional[str] = Header(None),\n):\n    \"\"\"List all user indices with optional stats\"\"\"\n    try:\n        user_id, auth_tenant_id = get_current_user_id(authorization)\n        # Use explicit tenant_id if provided, otherwise fall back to auth tenant_id\n        effective_tenant_id = tenant_id or auth_tenant_id\n        return ElasticSearchService.list_indices(pattern, include_stats, effective_tenant_id, user_id, vdb_core)\n    except Exception as e:\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=f\"Error get index: {str(e)}\")\n\n\n# Document Operations\n@router.post(\"/{index_name}/documents\", response_model=IndexingResponse)\ndef create_index_documents(\n        index_name: str = Path(..., description=\"Name of the index\"),\n        data: List[Dict[str, Any]\n                   ] = Body(..., description=\"Document List to process\"),\n        vdb_core: VectorDatabaseCore = Depends(get_vector_db_core),\n        authorization: Optional[str] = Header(None),\n        task_id: Optional[str] = Header(\n            None, alias=\"X-Task-Id\", description=\"Task ID for progress tracking\"),\n):\n    \"\"\"\n    Index documents with embeddings, creating the index if it doesn't exist.\n    Accepts a document list from data processing.\n    \"\"\"\n    try:\n        user_id, tenant_id = get_current_user_id(authorization)\n        embedding_model = get_embedding_model(tenant_id)\n        return ElasticSearchService.index_documents(\n            embedding_model=embedding_model,\n            index_name=index_name,\n            data=data,\n            vdb_core=vdb_core,\n            task_id=task_id,\n        )\n    except Exception as e:\n        error_msg = str(e)\n        logger.error(f\"Error indexing documents: {error_msg}\")\n\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n            detail=f\"Error indexing documents: {error_msg}\"\n        )\n\n\n@router.get(\"/{index_name}/files\")\nasync def get_index_files(\n        index_name: str = Path(..., description=\"Name of the index\"),\n        vdb_core: VectorDatabaseCore = Depends(get_vector_db_core)\n):\n    \"\"\"Get all files from an index, including those that are not yet stored in ES\"\"\"\n    try:\n        result = await ElasticSearchService.list_files(index_name, include_chunks=False, vdb_core=vdb_core)\n        # Transform result to match frontend expectations\n        return {\n            \"status\": \"success\",\n            \"files\": result.get(\"files\", [])\n        }\n    except Exception as e:\n        error_msg = str(e)\n        logger.error(f\"Error indexing documents: {error_msg}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=f\"Error indexing documents: {error_msg}\")\n\n\n@router.delete(\"/{index_name}/documents\")\ndef delete_documents(\n        index_name: str = Path(..., description=\"Name of the index\"),\n        path_or_url: str = Query(...,\n                                 description=\"Path or URL of documents to delete\"),\n        vdb_core: VectorDatabaseCore = Depends(get_vector_db_core)\n):\n    \"\"\"Delete documents by path or URL and clean up related Redis records\"\"\"\n    try:\n        # First delete the documents using existing service\n        result = ElasticSearchService.delete_documents(\n            index_name, path_or_url, vdb_core)\n\n        # Then clean up Redis records related to this specific document\n        try:\n            redis_service = get_redis_service()\n            redis_cleanup_result = redis_service.delete_document_records(\n                index_name, path_or_url)\n\n            # Add Redis cleanup info to the result\n            result[\"redis_cleanup\"] = redis_cleanup_result\n\n            # Update the message to include Redis cleanup info\n            original_message = result.get(\n                \"message\", \"Documents deleted successfully\")\n            result[\"message\"] = (\n                f\"{original_message}. \"\n                f\"Cleaned up {redis_cleanup_result['total_deleted']} Redis records \"\n                f\"({redis_cleanup_result['celery_tasks_deleted']} tasks, \"\n                f\"{redis_cleanup_result['cache_keys_deleted']} cache keys).\"\n            )\n\n            if redis_cleanup_result.get(\"errors\"):\n                result[\"redis_warnings\"] = redis_cleanup_result[\"errors\"]\n\n        except Exception as redis_error:\n            logger.warning(\n                f\"Redis cleanup failed for document {path_or_url} in index {index_name}: {str(redis_error)}\")\n            result[\"redis_cleanup_error\"] = str(redis_error)\n            original_message = result.get(\n                \"message\", \"Documents deleted successfully\")\n            result[\n                \"message\"] = f\"{original_message}, but Redis cleanup encountered an error: {str(redis_error)}\"\n\n        return result\n\n    except Exception as e:\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=f\"Error delete indexing documents: {e}\")\n\n\n@router.get(\"/{index_name}/documents/{path_or_url:path}/error-info\")\nasync def get_document_error_info(\n        index_name: str = Path(..., description=\"Name of the index\"),\n        path_or_url: str = Path(...,\n                                description=\"Path or URL of the document\"),\n        authorization: Optional[str] = Header(None)\n):\n    \"\"\"Get error information for a document\"\"\"\n    try:\n        celery_task_files = await get_all_files_status(index_name)\n        file_status = celery_task_files.get(path_or_url)\n\n        if not file_status:\n            raise HTTPException(\n                status_code=HTTPStatus.NOT_FOUND,\n                detail=f\"Document {path_or_url} not found in index {index_name}\"\n            )\n\n        task_id = file_status.get('latest_task_id', '')\n        if not task_id:\n            return {\n                \"status\": \"success\",\n                \"error_code\": None,\n            }\n\n        redis_service = get_redis_service()\n        raw_error = redis_service.get_error_info(task_id)\n        error_code = None\n\n        if raw_error:\n            # Try to parse JSON (new format with error_code only)\n            try:\n                parsed = json.loads(raw_error)\n                if isinstance(parsed, dict) and \"error_code\" in parsed:\n                    error_code = parsed.get(\"error_code\")\n            except Exception:\n                # Fallback: regex extraction if JSON parsing fails\n                try:\n                    match = re.search(\n                        r'[\"\\']error_code[\"\\']\\s*:\\s*[\"\\']([^\"\\']+)[\"\\']', raw_error)\n                    if match:\n                        error_code = match.group(1)\n                except Exception:\n                    pass\n\n        return {\n            \"status\": \"success\",\n            \"error_code\": error_code,\n        }\n    except HTTPException:\n        raise\n    except Exception as e:\n        logger.error(\n            f\"Error getting error info for document {path_or_url}: {str(e)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n            detail=f\"Error getting error info: {str(e)}\"\n        )\n\n\n# Health check\n@router.get(\"/health\")\ndef health_check(vdb_core: VectorDatabaseCore = Depends(get_vector_db_core)):\n    \"\"\"Check API and Elasticsearch health\"\"\"\n    try:\n        # Try to list indices as a health check\n        return ElasticSearchService.health_check(vdb_core)\n    except Exception as e:\n        raise HTTPException(status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=f\"{str(e)}\")\n\n\n@router.post(\"/{index_name}/chunks\")\ndef get_index_chunks(\n        index_name: str = Path(...,\n                               description=\"Name of the index (or knowledge_name) to get chunks from\"),\n        page: int = Query(\n            None, description=\"Page number (1-based) for pagination\"),\n        page_size: int = Query(\n            None, description=\"Number of records per page for pagination\"),\n        path_or_url: Optional[str] = Query(\n            None, description=\"Filter chunks by document path_or_url\"),\n        vdb_core: VectorDatabaseCore = Depends(get_vector_db_core),\n        authorization: Optional[str] = Header(None)\n):\n    \"\"\"Get chunks from the specified index, with optional pagination support\"\"\"\n    try:\n        _, tenant_id = get_current_user_id(authorization)\n        actual_index_name = get_index_name_by_knowledge_name(\n            index_name, tenant_id)\n\n        result = ElasticSearchService.get_index_chunks(\n            index_name=actual_index_name,\n            page=page,\n            page_size=page_size,\n            path_or_url=path_or_url,\n            vdb_core=vdb_core,\n        )\n        return JSONResponse(status_code=HTTPStatus.OK, content=result)\n    except ValueError as e:\n        raise HTTPException(\n            status_code=HTTPStatus.NOT_FOUND,\n            detail=str(e)\n        )\n    except Exception as e:\n        error_msg = str(e)\n        logger.error(\n            f\"Error getting chunks for index '{index_name}': {error_msg}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=f\"Error getting chunks: {error_msg}\")\n\n\n@router.post(\"/{index_name}/chunk\")\ndef create_chunk(\n        index_name: str = Path(...,\n                               description=\"Name of the index (or knowledge_name)\"),\n        payload: ChunkCreateRequest = Body(..., description=\"Chunk data\"),\n        vdb_core: VectorDatabaseCore = Depends(get_vector_db_core),\n        authorization: Optional[str] = Header(None),\n):\n    \"\"\"Create a manual chunk.\"\"\"\n    try:\n        user_id, tenant_id = get_current_user_id(authorization)\n        actual_index_name = get_index_name_by_knowledge_name(\n            index_name, tenant_id)\n        result = ElasticSearchService.create_chunk(\n            index_name=actual_index_name,\n            chunk_request=payload,\n            vdb_core=vdb_core,\n            user_id=user_id,\n            tenant_id=tenant_id,\n        )\n        return JSONResponse(status_code=HTTPStatus.OK, content=result)\n    except ValueError as e:\n        raise HTTPException(\n            status_code=HTTPStatus.NOT_FOUND,\n            detail=str(e)\n        )\n    except Exception as exc:\n        logger.error(\n            \"Error creating chunk for index %s: %s\", index_name, exc, exc_info=True\n        )\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=str(exc)\n        )\n\n\n@router.put(\"/{index_name}/chunk/{chunk_id}\")\ndef update_chunk(\n        index_name: str = Path(...,\n                               description=\"Name of the index (or knowledge_name)\"),\n        chunk_id: str = Path(..., description=\"Chunk identifier\"),\n        payload: ChunkUpdateRequest = Body(...,\n                                           description=\"Chunk update payload\"),\n        vdb_core: VectorDatabaseCore = Depends(get_vector_db_core),\n        authorization: Optional[str] = Header(None),\n):\n    \"\"\"Update an existing chunk.\"\"\"\n    try:\n        user_id, tenant_id = get_current_user_id(authorization)\n        actual_index_name = get_index_name_by_knowledge_name(\n            index_name, tenant_id)\n        result = ElasticSearchService.update_chunk(\n            index_name=actual_index_name,\n            chunk_id=chunk_id,\n            chunk_request=payload,\n            vdb_core=vdb_core,\n            user_id=user_id,\n        )\n        return JSONResponse(status_code=HTTPStatus.OK, content=result)\n    except ValueError as e:\n        raise HTTPException(\n            status_code=HTTPStatus.NOT_FOUND,\n            detail=str(e)\n        )\n    except Exception as exc:\n        logger.error(\n            \"Error updating chunk %s for index %s: %s\",\n            chunk_id,\n            index_name,\n            exc,\n            exc_info=True,\n        )\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=str(exc)\n        )\n\n\n@router.delete(\"/{index_name}/chunk/{chunk_id}\")\ndef delete_chunk(\n        index_name: str = Path(...,\n                               description=\"Name of the index (or knowledge_name)\"),\n        chunk_id: str = Path(..., description=\"Chunk identifier\"),\n        vdb_core: VectorDatabaseCore = Depends(get_vector_db_core),\n        authorization: Optional[str] = Header(None),\n):\n    \"\"\"Delete a chunk.\"\"\"\n    try:\n        _, tenant_id = get_current_user_id(authorization)\n        actual_index_name = get_index_name_by_knowledge_name(\n            index_name, tenant_id)\n        result = ElasticSearchService.delete_chunk(\n            index_name=actual_index_name,\n            chunk_id=chunk_id,\n            vdb_core=vdb_core,\n        )\n        return JSONResponse(status_code=HTTPStatus.OK, content=result)\n    except ValueError as e:\n        raise HTTPException(\n            status_code=HTTPStatus.NOT_FOUND,\n            detail=str(e)\n        )\n    except Exception as exc:\n        logger.error(\n            \"Error deleting chunk %s for index %s: %s\",\n            chunk_id,\n            index_name,\n            exc,\n            exc_info=True,\n        )\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR, detail=str(exc)\n        )\n\n\n@router.post(\"/search/hybrid\")\nasync def hybrid_search(\n        payload: HybridSearchRequest,\n        vdb_core: VectorDatabaseCore = Depends(get_vector_db_core),\n        authorization: Optional[str] = Header(None),\n):\n    \"\"\"Run a hybrid (accurate + semantic) search across indices.\"\"\"\n    try:\n        _, tenant_id = get_current_user_id(authorization)\n        result = ElasticSearchService.search_hybrid(\n            index_names=payload.index_names,\n            query=payload.query,\n            tenant_id=tenant_id,\n            top_k=payload.top_k,\n            weight_accurate=payload.weight_accurate,\n            vdb_core=vdb_core,\n        )\n        return JSONResponse(status_code=HTTPStatus.OK, content=result)\n    except ValueError as exc:\n        raise HTTPException(status_code=HTTPStatus.BAD_REQUEST,\n                            detail=str(exc))\n    except Exception as exc:\n        logger.error(f\"Hybrid search failed: {exc}\", exc_info=True)\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n            detail=f\"Error executing hybrid search: {str(exc)}\",\n        )\n"
  },
  {
    "path": "backend/apps/voice_app.py",
    "content": "import asyncio\nimport logging\nfrom http import HTTPStatus\n\nfrom fastapi import APIRouter, WebSocket, HTTPException, Body, Query\nfrom fastapi.responses import JSONResponse\n\nfrom consts.exceptions import (\n    VoiceServiceException,\n    STTConnectionException,\n    TTSConnectionException,\n    VoiceConfigException\n)\nfrom consts.model import VoiceConnectivityRequest, VoiceConnectivityResponse\nfrom services.voice_service import get_voice_service\n\nlogger = logging.getLogger(\"voice_app\")\n\nvoice_runtime_router = APIRouter(prefix=\"/voice\")\nvoice_config_router = APIRouter(prefix=\"/voice\")\n\n\n@voice_runtime_router.websocket(\"/stt/ws\")\nasync def stt_websocket(websocket: WebSocket):\n    \"\"\"WebSocket endpoint for real-time audio streaming and STT\"\"\"\n    logger.info(\"STT WebSocket connection attempt...\")\n    await websocket.accept()\n    logger.info(\"STT WebSocket connection accepted\")\n    \n    try:\n        voice_service = get_voice_service()\n        await voice_service.start_stt_streaming_session(websocket)\n    except STTConnectionException as e:\n        logger.error(f\"STT WebSocket error: {str(e)}\")\n        await websocket.send_json({\"error\": str(e)})\n    except Exception as e:\n        logger.error(f\"STT WebSocket error: {str(e)}\")\n        await websocket.send_json({\"error\": str(e)})\n    finally:\n        logger.info(\"STT WebSocket connection closed\")\n\n\n@voice_runtime_router.websocket(\"/tts/ws\")\nasync def tts_websocket(websocket: WebSocket):\n    \"\"\"WebSocket endpoint for streaming TTS\"\"\"\n    logger.info(\"TTS WebSocket connection attempt...\")\n    await websocket.accept()\n    logger.info(\"TTS WebSocket connection accepted\")\n\n    try:\n        # Receive text from client (single request)\n        data = await websocket.receive_json()\n        text = data.get(\"text\")\n\n        if not text:\n            if websocket.client_state.name == \"CONNECTED\":\n                await websocket.send_json({\"error\": \"No text provided\"})\n            return\n\n        # Stream TTS audio to WebSocket\n        voice_service = get_voice_service()\n        await voice_service.stream_tts_to_websocket(websocket, text)\n\n    except TTSConnectionException as e:\n        logger.error(f\"TTS WebSocket error: {str(e)}\")\n        await websocket.send_json({\"error\": str(e)})\n    except Exception as e:\n        logger.error(f\"TTS WebSocket error: {str(e)}\")\n        await websocket.send_json({\"error\": str(e)})\n    finally:\n        logger.info(\"TTS WebSocket connection closed\")\n        # Ensure connection is properly closed\n        if websocket.client_state.name == \"CONNECTED\":\n            await websocket.close()\n\n\n@voice_config_router.post(\"/connectivity\")\nasync def check_voice_connectivity(request: VoiceConnectivityRequest):\n    \"\"\"\n    Check voice service connectivity\n    \n    Args:\n        request: VoiceConnectivityRequest containing model_type\n        \n    Returns:\n        VoiceConnectivityResponse with connectivity status\n    \"\"\"\n    try:\n        voice_service = get_voice_service()\n        connected = await voice_service.check_voice_connectivity(request.model_type)\n        \n        return JSONResponse(\n            status_code=HTTPStatus.OK,\n            content=VoiceConnectivityResponse(\n                connected=connected,\n                model_type=request.model_type,\n                message=\"Service is connected\" if connected else \"Service connection failed\"\n            ).dict()\n        )\n    except VoiceServiceException as e:\n        logger.error(f\"Voice service error: {str(e)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.BAD_REQUEST,\n            detail=str(e)\n        )\n    except (STTConnectionException, TTSConnectionException) as e:\n        logger.error(f\"Voice connectivity error: {str(e)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.SERVICE_UNAVAILABLE,\n            detail=str(e)\n        )\n    except VoiceConfigException as e:\n        logger.error(f\"Voice configuration error: {str(e)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n            detail=str(e)\n        )\n    except Exception as e:\n        logger.error(f\"Unexpected voice service error: {str(e)}\")\n        raise HTTPException(\n            status_code=HTTPStatus.INTERNAL_SERVER_ERROR,\n            detail=\"Voice service error\"\n        )\n"
  },
  {
    "path": "backend/assets/baidu_stopwords.txt",
    "content": "--\n?\n“\n”\n》\n－－\nable\nabout\nabove\naccording\naccordingly\nacross\nactually\nafter\nafterwards\nagain\nagainst\nain't\nall\nallow\nallows\nalmost\nalone\nalong\nalready\nalso\nalthough\nalways\nam\namong\namongst\nan\nand\nanother\nany\nanybody\nanyhow\nanyone\nanything\nanyway\nanyways\nanywhere\napart\nappear\nappreciate\nappropriate\nare\naren't\naround\nas\na's\naside\nask\nasking\nassociated\nat\navailable\naway\nawfully\nbe\nbecame\nbecause\nbecome\nbecomes\nbecoming\nbeen\nbefore\nbeforehand\nbehind\nbeing\nbelieve\nbelow\nbeside\nbesides\nbest\nbetter\nbetween\nbeyond\nboth\nbrief\nbut\nby\ncame\ncan\ncannot\ncant\ncan't\ncause\ncauses\ncertain\ncertainly\nchanges\nclearly\nc'mon\nco\ncom\ncome\ncomes\nconcerning\nconsequently\nconsider\nconsidering\ncontain\ncontaining\ncontains\ncorresponding\ncould\ncouldn't\ncourse\nc's\ncurrently\ndefinitely\ndescribed\ndespite\ndid\ndidn't\ndifferent\ndo\ndoes\ndoesn't\ndoing\ndone\ndon't\ndown\ndownwards\nduring\neach\nedu\neg\neight\neither\nelse\nelsewhere\nenough\nentirely\nespecially\net\netc\neven\never\nevery\neverybody\neveryone\neverything\neverywhere\nex\nexactly\nexample\nexcept\nfar\nfew\nfifth\nfirst\nfive\nfollowed\nfollowing\nfollows\nfor\nformer\nformerly\nforth\nfour\nfrom\nfurther\nfurthermore\nget\ngets\ngetting\ngiven\ngives\ngo\ngoes\ngoing\ngone\ngot\ngotten\ngreetings\nhad\nhadn't\nhappens\nhardly\nhas\nhasn't\nhave\nhaven't\nhaving\nhe\nhello\nhelp\nhence\nher\nhere\nhereafter\nhereby\nherein\nhere's\nhereupon\nhers\nherself\nhe's\nhi\nhim\nhimself\nhis\nhither\nhopefully\nhow\nhowbeit\nhowever\ni'd\nie\nif\nignored\ni'll\ni'm\nimmediate\nin\ninasmuch\ninc\nindeed\nindicate\nindicated\nindicates\ninner\ninsofar\ninstead\ninto\ninward\nis\nisn't\nit\nit'd\nit'll\nits\nit's\nitself\ni've\njust\nkeep\nkeeps\nkept\nknow\nknown\nknows\nlast\nlately\nlater\nlatter\nlatterly\nleast\nless\nlest\nlet\nlet's\nlike\nliked\nlikely\nlittle\nlook\nlooking\nlooks\nltd\nmainly\nmany\nmay\nmaybe\nme\nmean\nmeanwhile\nmerely\nmight\nmore\nmoreover\nmost\nmostly\nmuch\nmust\nmy\nmyself\nname\nnamely\nnd\nnear\nnearly\nnecessary\nneed\nneeds\nneither\nnever\nnevertheless\nnew\nnext\nnine\nno\nnobody\nnon\nnone\nnoone\nnor\nnormally\nnot\nnothing\nnovel\nnow\nnowhere\nobviously\nof\noff\noften\noh\nok\nokay\nold\non\nonce\none\nones\nonly\nonto\nor\nother\nothers\notherwise\nought\nour\nours\nourselves\nout\noutside\nover\noverall\nown\nparticular\nparticularly\nper\nperhaps\nplaced\nplease\nplus\npossible\npresumably\nprobably\nprovides\nque\nquite\nqv\nrather\nrd\nre\nreally\nreasonably\nregarding\nregardless\nregards\nrelatively\nrespectively\nright\nsaid\nsame\nsaw\nsay\nsaying\nsays\nsecond\nsecondly\nsee\nseeing\nseem\nseemed\nseeming\nseems\nseen\nself\nselves\nsensible\nsent\nserious\nseriously\nseven\nseveral\nshall\nshe\nshould\nshouldn't\nsince\nsix\nso\nsome\nsomebody\nsomehow\nsomeone\nsomething\nsometime\nsometimes\nsomewhat\nsomewhere\nsoon\nsorry\nspecified\nspecify\nspecifying\nstill\nsub\nsuch\nsup\nsure\ntake\ntaken\ntell\ntends\nth\nthan\nthank\nthanks\nthanx\nthat\nthats\nthat's\nthe\ntheir\ntheirs\nthem\nthemselves\nthen\nthence\nthere\nthereafter\nthereby\ntherefore\ntherein\ntheres\nthere's\nthereupon\nthese\nthey\nthey'd\nthey'll\nthey're\nthey've\nthink\nthird\nthis\nthorough\nthoroughly\nthose\nthough\nthree\nthrough\nthroughout\nthru\nthus\nto\ntogether\ntoo\ntook\ntoward\ntowards\ntried\ntries\ntruly\ntry\ntrying\nt's\ntwice\ntwo\nun\nunder\nunfortunately\nunless\nunlikely\nuntil\nunto\nup\nupon\nus\nuse\nused\nuseful\nuses\nusing\nusually\nvalue\nvarious\nvery\nvia\nviz\nvs\nwant\nwants\nwas\nwasn't\nway\nwe\nwe'd\nwelcome\nwell\nwe'll\nwent\nwere\nwe're\nweren't\nwe've\nwhat\nwhatever\nwhat's\nwhen\nwhence\nwhenever\nwhere\nwhereafter\nwhereas\nwhereby\nwherein\nwhere's\nwhereupon\nwherever\nwhether\nwhich\nwhile\nwhither\nwho\nwhoever\nwhole\nwhom\nwho's\nwhose\nwhy\nwill\nwilling\nwish\nwith\nwithin\nwithout\nwonder\nwon't\nwould\nwouldn't\nyes\nyet\nyou\nyou'd\nyou'll\nyour\nyou're\nyours\nyourself\nyourselves\nyou've\nzero\nzt\nZT\nzz\nZZ\n一\n一下\n一些\n一切\n一则\n一天\n一定\n一方面\n一旦\n一时\n一来\n一样\n一次\n一片\n一直\n一致\n一般\n一起\n一边\n一面\n万一\n上下\n上升\n上去\n上来\n上述\n上面\n下列\n下去\n下来\n下面\n不一\n不久\n不仅\n不会\n不但\n不光\n不单\n不变\n不只\n不可\n不同\n不够\n不如\n不得\n不怕\n不惟\n不成\n不拘\n不敢\n不断\n不是\n不比\n不然\n不特\n不独\n不管\n不能\n不要\n不论\n不足\n不过\n不问\n与\n与其\n与否\n与此同时\n专门\n且\n两者\n严格\n严重\n个\n个人\n个别\n中小\n中间\n丰富\n临\n为\n为主\n为了\n为什么\n为什麽\n为何\n为着\n主张\n主要\n举行\n乃\n乃至\n么\n之\n之一\n之前\n之后\n之後\n之所以\n之类\n乌乎\n乎\n乘\n也\n也好\n也是\n也罢\n了\n了解\n争取\n于\n于是\n于是乎\n云云\n互相\n产生\n人们\n人家\n什么\n什么样\n什麽\n今后\n今天\n今年\n今後\n仍然\n从\n从事\n从而\n他\n他人\n他们\n他的\n代替\n以\n以上\n以下\n以为\n以便\n以免\n以前\n以及\n以后\n以外\n以後\n以来\n以至\n以至于\n以致\n们\n任\n任何\n任凭\n任务\n企图\n伟大\n似乎\n似的\n但\n但是\n何\n何况\n何处\n何时\n作为\n你\n你们\n你的\n使得\n使用\n例如\n依\n依照\n依靠\n促进\n保持\n俺\n俺们\n倘\n倘使\n倘或\n倘然\n倘若\n假使\n假如\n假若\n做到\n像\n允许\n充分\n先后\n先後\n先生\n全部\n全面\n兮\n共同\n关于\n其\n其一\n其中\n其二\n其他\n其余\n其它\n其实\n其次\n具体\n具体地说\n具体说来\n具有\n再者\n再说\n冒\n冲\n决定\n况且\n准备\n几\n几乎\n几时\n凭\n凭借\n出去\n出来\n出现\n分别\n则\n别\n别的\n别说\n到\n前后\n前者\n前进\n前面\n加之\n加以\n加入\n加强\n十分\n即\n即令\n即使\n即便\n即或\n即若\n却不\n原来\n又\n及\n及其\n及时\n及至\n双方\n反之\n反应\n反映\n反过来\n反过来说\n取得\n受到\n变成\n另\n另一方面\n另外\n只是\n只有\n只要\n只限\n叫\n叫做\n召开\n叮咚\n可\n可以\n可是\n可能\n可见\n各\n各个\n各人\n各位\n各地\n各种\n各级\n各自\n合理\n同\n同一\n同时\n同样\n后来\n后面\n向\n向着\n吓\n吗\n否则\n吧\n吧哒\n吱\n呀\n呃\n呕\n呗\n呜\n呜呼\n呢\n周围\n呵\n呸\n呼哧\n咋\n和\n咚\n咦\n咱\n咱们\n咳\n哇\n哈\n哈哈\n哉\n哎\n哎呀\n哎哟\n哗\n哟\n哦\n哩\n哪\n哪个\n哪些\n哪儿\n哪天\n哪年\n哪怕\n哪样\n哪边\n哪里\n哼\n哼唷\n唉\n啊\n啐\n啥\n啦\n啪达\n喂\n喏\n喔唷\n嗡嗡\n嗬\n嗯\n嗳\n嘎\n嘎登\n嘘\n嘛\n嘻\n嘿\n因\n因为\n因此\n因而\n固然\n在\n在下\n地\n坚决\n坚持\n基本\n处理\n复杂\n多\n多少\n多数\n多次\n大力\n大多数\n大大\n大家\n大批\n大约\n大量\n失去\n她\n她们\n她的\n好的\n好象\n如\n如上所述\n如下\n如何\n如其\n如果\n如此\n如若\n存在\n宁\n宁可\n宁愿\n宁肯\n它\n它们\n它们的\n它的\n安全\n完全\n完成\n实现\n实际\n宣布\n容易\n密切\n对\n对于\n对应\n将\n少数\n尔后\n尚且\n尤其\n就\n就是\n就是说\n尽\n尽管\n属于\n岂但\n左右\n巨大\n巩固\n己\n已经\n帮助\n常常\n并\n并不\n并不是\n并且\n并没有\n广大\n广泛\n应当\n应用\n应该\n开外\n开始\n开展\n引起\n强烈\n强调\n归\n当\n当前\n当时\n当然\n当着\n形成\n彻底\n彼\n彼此\n往\n往往\n待\n後来\n後面\n得\n得出\n得到\n心里\n必然\n必要\n必须\n怎\n怎么\n怎么办\n怎么样\n怎样\n怎麽\n总之\n总是\n总的来看\n总的来说\n总的说来\n总结\n总而言之\n恰恰相反\n您\n意思\n愿意\n慢说\n成为\n我\n我们\n我的\n或\n或是\n或者\n战斗\n所\n所以\n所有\n所谓\n打\n扩大\n把\n抑或\n拿\n按\n按照\n换句话说\n换言之\n据\n掌握\n接着\n接著\n故\n故此\n整个\n方便\n方面\n旁人\n无宁\n无法\n无论\n既\n既是\n既然\n时候\n明显\n明确\n是\n是否\n是的\n显然\n显著\n普通\n普遍\n更加\n曾经\n替\n最后\n最大\n最好\n最後\n最近\n最高\n有\n有些\n有关\n有利\n有力\n有所\n有效\n有时\n有点\n有的\n有着\n有著\n望\n朝\n朝着\n本\n本着\n来\n来着\n极了\n构成\n果然\n果真\n某\n某个\n某些\n根据\n根本\n欢迎\n正在\n正如\n正常\n此\n此外\n此时\n此间\n毋宁\n每\n每个\n每天\n每年\n每当\n比\n比如\n比方\n比较\n毫不\n没有\n沿\n沿着\n注意\n深入\n清楚\n满足\n漫说\n焉\n然则\n然后\n然後\n然而\n照\n照着\n特别是\n特殊\n特点\n现代\n现在\n甚么\n甚而\n甚至\n用\n由\n由于\n由此可见\n的\n的话\n目前\n直到\n直接\n相似\n相信\n相反\n相同\n相对\n相对而言\n相应\n相当\n相等\n省得\n看出\n看到\n看来\n看看\n看见\n真是\n真正\n着\n着呢\n矣\n知道\n确定\n离\n积极\n移动\n突出\n突然\n立即\n第\n等\n等等\n管\n紧接着\n纵\n纵令\n纵使\n纵然\n练习\n组成\n经\n经常\n经过\n结合\n结果\n给\n绝对\n继续\n继而\n维持\n综上所述\n罢了\n考虑\n者\n而\n而且\n而况\n而外\n而已\n而是\n而言\n联系\n能\n能否\n能够\n腾\n自\n自个儿\n自从\n自各儿\n自家\n自己\n自身\n至\n至于\n良好\n若\n若是\n若非\n范围\n莫若\n获得\n虽\n虽则\n虽然\n虽说\n行为\n行动\n表明\n表示\n被\n要\n要不\n要不是\n要不然\n要么\n要是\n要求\n规定\n觉得\n认为\n认真\n认识\n让\n许多\n论\n设使\n设若\n该\n说明\n诸位\n谁\n谁知\n赶\n起\n起来\n起见\n趁\n趁着\n越是\n跟\n转动\n转变\n转贴\n较\n较之\n边\n达到\n迅速\n过\n过去\n过来\n运用\n还是\n还有\n这\n这个\n这么\n这么些\n这么样\n这么点儿\n这些\n这会儿\n这儿\n这就是说\n这时\n这样\n这点\n这种\n这边\n这里\n这麽\n进入\n进步\n进而\n进行\n连\n连同\n适应\n适当\n适用\n逐步\n逐渐\n通常\n通过\n造成\n遇到\n遭到\n避免\n那\n那个\n那么\n那么些\n那么样\n那些\n那会儿\n那儿\n那时\n那样\n那边\n那里\n那麽\n部分\n鄙人\n采取\n里面\n重大\n重新\n重要\n鉴于\n问题\n防止\n阿\n附近\n限制\n除\n除了\n除此之外\n除非\n随\n随着\n随著\n集中\n需要\n非但\n非常\n非徒\n靠\n顺\n顺着\n首先\n高兴\n是不是\n说说\n \n"
  },
  {
    "path": "backend/config_service.py",
    "content": "import uvicorn\nimport logging\nimport warnings\n\nfrom consts.const import APP_VERSION\n\nwarnings.filterwarnings(\"ignore\", category=UserWarning)\n\nfrom dotenv import load_dotenv\nload_dotenv()\n\nfrom apps.config_app import app\nfrom utils.logging_utils import configure_logging, configure_elasticsearch_logging\n\n\nconfigure_logging(logging.INFO)\nconfigure_elasticsearch_logging()\nlogger = logging.getLogger(\"config_service\")\n\n\nif __name__ == \"__main__\":\n    logger.info(\"Starting server initialization...\")\n    logger.info(f\"APP version is: {APP_VERSION}\")\n    uvicorn.run(app, host=\"0.0.0.0\", port=5010, log_level=\"info\")\n"
  },
  {
    "path": "backend/consts/__init__.py",
    "content": ""
  },
  {
    "path": "backend/consts/const.py",
    "content": "import os\nfrom enum import Enum\nfrom dotenv import load_dotenv\n\n# Load environment variables\nload_dotenv(override=True)\n\n# TODO: Analyze every variable if this is used\n# Test voice file path\nTEST_VOICE_PATH = os.path.join(os.path.dirname(\n    os.path.dirname(__file__)), 'assets', 'test.wav')\n\n\n# Vector database providers\nclass VectorDatabaseType(str, Enum):\n    ELASTICSEARCH = \"elasticsearch\"\n    DATAMATE = \"datamate\"\n\n\n# Elasticsearch Configuration\nES_HOST = os.getenv(\"ELASTICSEARCH_HOST\")\nES_API_KEY = os.getenv(\"ELASTICSEARCH_API_KEY\")\nES_PASSWORD = os.getenv(\"ELASTIC_PASSWORD\")\nES_USERNAME = \"elastic\"\nELASTICSEARCH_SERVICE = os.getenv(\"ELASTICSEARCH_SERVICE\")\n\n# Data Processing Service Configuration\nDATA_PROCESS_SERVICE = os.getenv(\"DATA_PROCESS_SERVICE\")\nCLIP_MODEL_PATH = os.getenv(\"CLIP_MODEL_PATH\")\n\n\n# Upload Configuration\nMAX_FILE_SIZE = 100 * 1024 * 1024  # 100MB\nMAX_CONCURRENT_UPLOADS = 5\nUPLOAD_FOLDER = os.getenv('UPLOAD_FOLDER', 'uploads')\nROOT_DIR = os.getenv(\"ROOT_DIR\")\n\n\n# Preview Configuration\nFILE_PREVIEW_SIZE_LIMIT = 100 * 1024 * 1024  # 100MB\n# Limit concurrent Office-to-PDF conversions\nMAX_CONCURRENT_CONVERSIONS = 5\n# Supported Office file MIME types\nOFFICE_MIME_TYPES = [\n    'application/msword',  # .doc\n    'application/vnd.openxmlformats-officedocument.wordprocessingml.document',  # .docx\n    'application/vnd.ms-excel',  # .xls\n    'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet',  # .xlsx\n    'application/vnd.ms-powerpoint',  # .ppt\n    'application/vnd.openxmlformats-officedocument.presentationml.presentation'  # .pptx\n]\n\n\n# Supabase Configuration\nSUPABASE_URL = os.getenv('SUPABASE_URL')\nSUPABASE_KEY = os.getenv('SUPABASE_KEY')\nSERVICE_ROLE_KEY = os.getenv('SERVICE_ROLE_KEY', SUPABASE_KEY)\n# JWT secret for verifying Supabase-signed access tokens.\n# GoTrue uses GOTRUE_JWT_SECRET (= JWT_SECRET in docker setup) to sign tokens.\nSUPABASE_JWT_SECRET = os.getenv('SUPABASE_JWT_SECRET') or os.getenv('JWT_SECRET', '')\n\n\n# ===== To be migrated to frontend configuration =====\n# Email Configuration\nIMAP_SERVER = os.getenv('IMAP_SERVER')\nIMAP_PORT = os.getenv('IMAP_PORT')\nSMTP_SERVER = os.getenv('SMTP_SERVER')\nSMTP_PORT = os.getenv('SMTP_PORT')\nMAIL_USERNAME = os.getenv('MAIL_USERNAME')\nMAIL_PASSWORD = os.getenv('MAIL_PASSWORD')\n\n\n# EXASearch Configuration\nEXA_SEARCH_API_KEY = os.getenv('EXA_SEARCH_API_KEY')\n\n\n# Image Filter Configuration\nIMAGE_FILTER = os.getenv(\"IMAGE_FILTER\", \"false\").lower() == \"true\"\n\n\n# Default User and Tenant IDs\nDEFAULT_USER_ID = \"user_id\"\nDEFAULT_TENANT_ID = \"tenant_id\"\n\n# Roles that can edit all resources within a tenant (permission = EDIT).\n# Keep this centralized to avoid drifting role logic across modules.\nCAN_EDIT_ALL_USER_ROLES = {\"SU\", \"ADMIN\", \"SPEED\"}\n\n# Permission constants used by list endpoints (e.g., /agent/list, /mcp/list).\nPERMISSION_READ = \"READ_ONLY\"\nPERMISSION_EDIT = \"EDIT\"\nPERMISSION_PRIVATE = \"PRIVATE\"\n\n\n# Deployment Version Configuration\nDEPLOYMENT_VERSION = os.getenv(\"DEPLOYMENT_VERSION\", \"speed\")\nIS_SPEED_MODE = DEPLOYMENT_VERSION == \"speed\"\nDEFAULT_APP_DESCRIPTION_ZH = \"Nexent 是一个开源智能体平台，基于 MCP 工具生态系统，提供灵活的多模态问答、检索、数据分析、处理等能力。\"\nDEFAULT_APP_DESCRIPTION_EN = \"Nexent is an open-source agent platform built on the MCP tool ecosystem, providing flexible multi-modal Q&A, retrieval, data analysis, and processing capabilities.\"\nDEFAULT_APP_NAME_ZH = \"Nexent 智能体\"\nDEFAULT_APP_NAME_EN = \"Nexent Agent\"\n\n# Minio Configuration\nMINIO_ENDPOINT = os.getenv(\"MINIO_ENDPOINT\")\nMINIO_ACCESS_KEY = os.getenv(\"MINIO_ACCESS_KEY\")\nMINIO_SECRET_KEY = os.getenv(\"MINIO_SECRET_KEY\")\nMINIO_REGION = os.getenv(\"MINIO_REGION\")\nMINIO_DEFAULT_BUCKET = os.getenv(\"MINIO_DEFAULT_BUCKET\")\n\n\n# Postgres Configuration\nPOSTGRES_HOST = os.getenv(\"POSTGRES_HOST\")\nPOSTGRES_USER = os.getenv(\"POSTGRES_USER\")\nNEXENT_POSTGRES_PASSWORD = os.getenv(\"NEXENT_POSTGRES_PASSWORD\")\nPOSTGRES_DB = os.getenv(\"POSTGRES_DB\")\nPOSTGRES_PORT = os.getenv(\"POSTGRES_PORT\")\n\n\n# Data Processing Service Configuration\nREDIS_URL = os.getenv(\"REDIS_URL\")\nREDIS_BACKEND_URL = os.getenv(\"REDIS_BACKEND_URL\")\nREDIS_PORT = int(os.getenv(\"REDIS_PORT\", \"6379\"))\nFLOWER_PORT = int(os.getenv(\"FLOWER_PORT\", \"5555\"))\nDP_REDIS_CHUNKS_WAIT_TIMEOUT_S = int(\n    os.getenv(\"DP_REDIS_CHUNKS_WAIT_TIMEOUT_S\", \"30\"))\nDP_REDIS_CHUNKS_POLL_INTERVAL_MS = int(\n    os.getenv(\"DP_REDIS_CHUNKS_POLL_INTERVAL_MS\", \"200\"))\nFORWARD_REDIS_RETRY_DELAY_S = int(\n    os.getenv(\"FORWARD_REDIS_RETRY_DELAY_S\", \"5\"))\nFORWARD_REDIS_RETRY_MAX = int(os.getenv(\"FORWARD_REDIS_RETRY_MAX\", \"12\"))\n\n\n# Ray Configuration\nRAY_ACTOR_NUM_CPUS = int(os.getenv(\"RAY_ACTOR_NUM_CPUS\", \"2\"))\nRAY_DASHBOARD_PORT = int(os.getenv(\"RAY_DASHBOARD_PORT\", \"8265\"))\nRAY_DASHBOARD_HOST = os.getenv(\"RAY_DASHBOARD_HOST\", \"0.0.0.0\")\nRAY_NUM_CPUS = os.getenv(\"RAY_NUM_CPUS\")\nRAY_OBJECT_STORE_MEMORY_GB = float(\n    os.getenv(\"RAY_OBJECT_STORE_MEMORY_GB\", \"0.25\"))\nRAY_TEMP_DIR = os.getenv(\"RAY_TEMP_DIR\", \"/tmp/ray\")\nRAY_LOG_LEVEL = os.getenv(\"RAY_LOG_LEVEL\", \"INFO\").upper()\n# Disable plasma preallocation to reduce idle memory usage\n# When set to false, Ray will allocate object store memory on-demand instead of preallocating\nRAY_preallocate_plasma = os.getenv(\n    \"RAY_preallocate_plasma\", \"false\").lower() == \"true\"\n\n\n# Service Control Flags\nDISABLE_RAY_DASHBOARD = os.getenv(\n    \"DISABLE_RAY_DASHBOARD\", \"false\").lower() == \"true\"\nDISABLE_CELERY_FLOWER = os.getenv(\n    \"DISABLE_CELERY_FLOWER\", \"false\").lower() == \"true\"\nDOCKER_ENVIRONMENT = os.getenv(\"DOCKER_ENVIRONMENT\", \"false\").lower() == \"true\"\nNEXENT_MCP_DOCKER_IMAGE = os.getenv(\n    \"NEXENT_MCP_DOCKER_IMAGE\", \"nexent/nexent-mcp:latest\")\nENABLE_UPLOAD_IMAGE = os.getenv(\n    \"ENABLE_UPLOAD_IMAGE\", \"false\").lower() == \"true\"\n\n\n# Celery Configuration\nCELERY_WORKER_PREFETCH_MULTIPLIER = int(\n    os.getenv(\"CELERY_WORKER_PREFETCH_MULTIPLIER\", \"1\"))\nCELERY_TASK_TIME_LIMIT = int(os.getenv(\"CELERY_TASK_TIME_LIMIT\", \"3600\"))\nELASTICSEARCH_REQUEST_TIMEOUT = int(\n    os.getenv(\"ELASTICSEARCH_REQUEST_TIMEOUT\", \"30\"))\n\n\n# Worker Configuration\nRAY_ADDRESS = os.getenv(\"RAY_ADDRESS\", \"auto\")\nQUEUES = os.getenv(\"QUEUES\", \"process_q,forward_q\")\n# Will be dynamically set based on PID if not provided\nWORKER_NAME = os.getenv(\"WORKER_NAME\")\nWORKER_CONCURRENCY = int(os.getenv(\"WORKER_CONCURRENCY\", \"4\"))\n\n\n# Voice Service Configuration\nAPPID = os.getenv(\"APPID\", \"\")\nTOKEN = os.getenv(\"TOKEN\", \"\")\nCLUSTER = os.getenv(\"CLUSTER\", \"volcano_tts\")\nVOICE_TYPE = os.getenv(\"VOICE_TYPE\", \"zh_male_jieshuonansheng_mars_bigtts\")\nSPEED_RATIO = float(os.getenv(\"SPEED_RATIO\", \"1.3\"))\n\n\n# Memory Feature\nMEMORY_SWITCH_KEY = \"MEMORY_SWITCH\"\nMEMORY_AGENT_SHARE_KEY = \"MEMORY_AGENT_SHARE\"\nDISABLE_AGENT_ID_KEY = \"DISABLE_AGENT_ID\"\nDISABLE_USERAGENT_ID_KEY = \"DISABLE_USERAGENT_ID\"\nDEFAULT_MEMORY_SWITCH_KEY = \"Y\"\nDEFAULT_MEMORY_AGENT_SHARE_KEY = \"always\"\n# Boolean value representations for configuration parsing\nBOOLEAN_TRUE_VALUES = {\"true\", \"1\", \"y\", \"yes\", \"on\"}\n\n\nDEFAULT_LLM_MAX_TOKENS = 4096\n\n\n# Embedding Model Chunk Size Defaults\nDEFAULT_EXPECTED_CHUNK_SIZE = 1024\nDEFAULT_MAXIMUM_CHUNK_SIZE = 1536\n\n\n# MCP Server\nLOCAL_MCP_SERVER = os.getenv(\"NEXENT_MCP_SERVER\")\n\n\n# Invite code\nINVITE_CODE = os.getenv(\"INVITE_CODE\")\n\n# Debug JWT expiration time (seconds), not set or 0 means not effective\nDEBUG_JWT_EXPIRE_SECONDS = int(os.getenv('DEBUG_JWT_EXPIRE_SECONDS', '0') or 0)\n\n# User info query source control: \"supabase\" or \"pg\" (default: \"supabase\" for backward compatibility)\nUSER_INFO_QUERY_SOURCE = os.getenv(\n    'USER_INFO_QUERY_SOURCE', 'supabase').lower()\n\n# Memory Search Status Messages (for i18n placeholders)\nMEMORY_SEARCH_START_MSG = \"<MEM_START>\"\nMEMORY_SEARCH_DONE_MSG = \"<MEM_DONE>\"\nMEMORY_SEARCH_FAIL_MSG = \"<MEM_FAILED>\"\n\n# Tool Type Mapping (for display normalization)\nTOOL_TYPE_MAPPING = {\n    \"mcp\": \"MCP\",\n    \"langchain\": \"LangChain\",\n    \"local\": \"Local\",\n}\n\n# Default Language Configuration\nLANGUAGE = {\n    \"ZH\": \"zh\",\n    \"EN\": \"en\"\n}\n\n# Message Role Constants\nMESSAGE_ROLE = {\n    \"USER\": \"user\",\n    \"ASSISTANT\": \"assistant\",\n    \"SYSTEM\": \"system\"\n}\n\n# Knowledge summary max token limits\nKNOWLEDGE_SUMMARY_MAX_TOKENS_ZH = 300\nKNOWLEDGE_SUMMARY_MAX_TOKENS_EN = 120\n\n# Host Configuration Constants\nLOCALHOST_IP = \"127.0.0.1\"\nLOCALHOST_NAME = \"localhost\"\nDOCKER_INTERNAL_HOST = \"host.docker.internal\"\n\n\n# Mock User Management Configuration (for speed mode)\nMOCK_USER = {\n    \"id\": DEFAULT_USER_ID,\n    \"email\": \"mock@example.com\",\n    \"role\": \"admin\"\n}\n\nMOCK_SESSION = {\n    \"access_token\": \"mock_access_token\",\n    \"refresh_token\": \"mock_refresh_token\",\n    \"expires_at\": None,  # Will be set dynamically\n    \"expires_in_seconds\": 315360000  # 10 years\n}\n\nMODEL_CONFIG_MAPPING = {\n    \"llm\": \"LLM_ID\",\n    \"embedding\": \"EMBEDDING_ID\",\n    \"multiEmbedding\": \"MULTI_EMBEDDING_ID\",\n    \"rerank\": \"RERANK_ID\",\n    \"vlm\": \"VLM_ID\",\n    \"stt\": \"STT_ID\",\n    \"tts\": \"TTS_ID\"\n}\n\nAPP_NAME = \"APP_NAME\"\nAPP_DESCRIPTION = \"APP_DESCRIPTION\"\nICON_TYPE = \"ICON_TYPE\"\nICON_KEY = \"ICON_KEY\"\nAVATAR_URI = \"AVATAR_URI\"\nCUSTOM_ICON_URL = \"CUSTOM_ICON_URL\"\nTENANT_NAME = \"TENANT_NAME\"\nTENANT_ID = \"TENANT_ID\"\nDEFAULT_GROUP_ID = \"DEFAULT_GROUP_ID\"\nDATAMATE_URL = \"DATAMATE_URL\"\n\n# Task Status Constants\nTASK_STATUS = {\n    \"WAIT_FOR_PROCESSING\": \"WAIT_FOR_PROCESSING\",\n    \"WAIT_FOR_FORWARDING\": \"WAIT_FOR_FORWARDING\",\n    \"PROCESSING\": \"PROCESSING\",\n    \"FORWARDING\": \"FORWARDING\",\n    \"COMPLETED\": \"COMPLETED\",\n    \"PROCESS_FAILED\": \"PROCESS_FAILED\",\n    \"FORWARD_FAILED\": \"FORWARD_FAILED\",\n}\n\n# Deep Thinking Constants\nTHINK_START_PATTERN = \"<think>\"\nTHINK_END_PATTERN = \"</think>\"\n\n\n# Telemetry and Monitoring Configuration\nENABLE_TELEMETRY = os.getenv(\"ENABLE_TELEMETRY\", \"false\").lower() == \"true\"\nSERVICE_NAME = os.getenv(\"SERVICE_NAME\", \"nexent-backend\")\nJAEGER_ENDPOINT = os.getenv(\n    \"JAEGER_ENDPOINT\", \"http://localhost:14268/api/traces\")\nPROMETHEUS_PORT = int(os.getenv(\"PROMETHEUS_PORT\", \"8000\"))\nTELEMETRY_SAMPLE_RATE = float(os.getenv(\"TELEMETRY_SAMPLE_RATE\", \"1.0\"))\n\n# Performance monitoring thresholds\nLLM_SLOW_REQUEST_THRESHOLD_SECONDS = float(\n    os.getenv(\"LLM_SLOW_REQUEST_THRESHOLD_SECONDS\", \"5.0\"))\nLLM_SLOW_TOKEN_RATE_THRESHOLD = float(\n    os.getenv(\"LLM_SLOW_TOKEN_RATE_THRESHOLD\", \"10.0\"))  # tokens per second\n\n\nDEFAULT_ZH_TITLE = \"新对话\"\nDEFAULT_EN_TITLE = \"New Conversation\"\n\n\n# Model Engine Configuration\nMODEL_ENGINE_ENABLED = os.getenv(\"MODEL_ENGINE_ENABLED\")\n\n# APP Version\nAPP_VERSION = \"v1.8.1\"\n"
  },
  {
    "path": "backend/consts/error_code.py",
    "content": "\"\"\"\nError code definitions for the application.\n\nFormat: XXYYZZ (6 digits, string)\n- XX: Module code (01-99, based on sidebar)\n    00: Common / 公共 - cross-module common errors\n    01: Chat / 开始问答\n    02: QuickConfig / 快速配置\n    03: AgentSpace / 智能体空间\n    04: AgentMarket / 智能体市场\n    05: AgentDev / 智能体开发\n    06: Knowledge / 知识库\n    07: MCPTools / MCP 工具\n    08: MonitorOps / 监控与运维\n    09: Model / 模型管理\n    10: Memory / 记忆管理\n    11: Profile / 个人信息\n    12: TenantResource / 租户资源\n    13: External / 外部服务 (DataMate, Dify)\n    15: Northbound / 北向接口\n    17: DataProcess / 数据处理\n    99: System / 系统级 - system internal errors\n- YY: Sub module category (01-99)\n- ZZ: Sequence in category (01-99)\n\"\"\"\n\nfrom enum import Enum\n\n\nclass ErrorCode(Enum):\n    \"\"\"Business error codes (stored as strings to preserve leading zeros).\"\"\"\n\n    # ==================== 00 Common / 公共 ====================\n    # 01 - Parameter & Validation\n    COMMON_VALIDATION_ERROR = \"000101\"  # Validation error\n    COMMON_PARAMETER_INVALID = \"000102\"  # Invalid parameter\n    COMMON_MISSING_REQUIRED_FIELD = \"000103\"  # Missing required field\n\n    # 02 - Auth & Permission\n    COMMON_UNAUTHORIZED = \"000201\"  # Not logged in / unauthenticated\n    COMMON_FORBIDDEN = \"000202\"  # No permission\n    COMMON_TOKEN_EXPIRED = \"000203\"  # Token expired\n    COMMON_TOKEN_INVALID = \"000204\"  # Invalid token\n\n    # 03 - External Service\n    COMMON_EXTERNAL_SERVICE_ERROR = \"000301\"  # External service error\n    COMMON_RATE_LIMIT_EXCEEDED = \"000302\"  # Rate limit exceeded\n\n    # 04 - File\n    FILE_NOT_FOUND = \"000401\"  # File not found\n    FILE_UPLOAD_FAILED = \"000402\"  # File upload failed\n    FILE_TOO_LARGE = \"000403\"  # File too large\n    FILE_TYPE_NOT_ALLOWED = \"000404\"  # File type not allowed\n    FILE_PREPROCESS_FAILED = \"000405\"  # File preprocess failed\n\n    # 05 - Resource\n    COMMON_RESOURCE_NOT_FOUND = \"000501\"  # Resource not found\n    COMMON_RESOURCE_ALREADY_EXISTS = \"000502\"  # Resource already exists\n    COMMON_RESOURCE_DISABLED = \"000503\"  # Resource disabled\n\n    # ==================== 01 Chat / 开始问答 ====================\n    # 01 - Conversation\n    CHAT_CONVERSATION_NOT_FOUND = \"010101\"  # Conversation not found\n    CHAT_MESSAGE_NOT_FOUND = \"010102\"  # Message not found\n    CHAT_CONVERSATION_SAVE_FAILED = \"010103\"  # Failed to save conversation\n    CHAT_TITLE_GENERATION_FAILED = \"010104\"  # Failed to generate title\n\n    # ==================== 02 QuickConfig / 快速配置 ====================\n    # 01 - Configuration\n    QUICK_CONFIG_INVALID = \"020101\"  # Invalid configuration\n    QUICK_CONFIG_SYNC_FAILED = \"020102\"  # Sync configuration failed\n\n    # ==================== 03 AgentSpace / 智能体空间 ====================\n    # 01 - Agent\n    AGENTSPACE_AGENT_NOT_FOUND = \"030101\"  # Agent not found\n    AGENTSPACE_AGENT_DISABLED = \"030102\"  # Agent disabled\n    AGENTSPACE_AGENT_RUN_FAILED = \"030103\"  # Agent run failed\n    AGENTSPACE_AGENT_NAME_DUPLICATE = \"030104\"  # Duplicate agent name\n    AGENTSPACE_VERSION_NOT_FOUND = \"030105\"  # Agent version not found\n\n    # ==================== 04 AgentMarket / 智能体市场 ====================\n    # 01 - Agent\n    AGENTMARKET_AGENT_NOT_FOUND = \"040101\"  # Agent not found in market\n\n    # ==================== 05 AgentDev / 智能体开发 ====================\n    # 01 - Configuration\n    AGENTDEV_CONFIG_INVALID = \"050101\"  # Invalid agent configuration\n    AGENTDEV_PROMPT_INVALID = \"050102\"  # Invalid prompt\n\n    # ==================== 06 Knowledge / 知识库 ====================\n    # 01 - Knowledge Base\n    KNOWLEDGE_NOT_FOUND = \"060101\"  # Knowledge not found\n    KNOWLEDGE_UPLOAD_FAILED = \"060102\"  # Upload failed\n    KNOWLEDGE_SYNC_FAILED = \"060103\"  # Sync failed\n    KNOWLEDGE_INDEX_NOT_FOUND = \"060104\"  # Index not found\n    KNOWLEDGE_SEARCH_FAILED = \"060105\"  # Search failed\n\n    # ==================== 07 MCPTools / MCP 工具 ====================\n    # 01 - Tool\n    MCP_TOOL_NOT_FOUND = \"070101\"  # Tool not found\n    MCP_TOOL_EXECUTION_FAILED = \"070102\"  # Tool execution failed\n    MCP_TOOL_CONFIG_INVALID = \"070103\"  # Invalid tool configuration\n\n    # 02 - Connection\n    MCP_CONNECTION_FAILED = \"070201\"  # MCP connection failed\n    MCP_CONTAINER_ERROR = \"070202\"  # MCP container error\n\n    # 03 - Configuration\n    MCP_NAME_ILLEGAL = \"070301\"  # Illegal MCP name\n\n    # ==================== 08 MonitorOps / 监控与运维 ====================\n    # 01 - Monitoring\n    MONITOROPS_METRIC_QUERY_FAILED = \"080101\"  # Metric query failed\n\n    # 02 - Alert\n    MONITOROPS_ALERT_CONFIG_INVALID = \"080201\"  # Invalid alert configuration\n\n    # ==================== 09 Model / 模型管理 ====================\n    # 01 - Model\n    MODEL_NOT_FOUND = \"090101\"  # Model not found\n    MODEL_CONFIG_INVALID = \"090102\"  # Invalid model configuration\n    MODEL_HEALTH_CHECK_FAILED = \"090103\"  # Health check failed\n    MODEL_PROVIDER_ERROR = \"090104\"  # Model provider error\n    MODEL_PROMPT_GENERATION_FAILED = \"090105\"  # Model prompt generation failed\n    # 02 - Model API errors\n    MODEL_API_KEY_INVALID = \"090201\"  # API key is invalid or expired\n    MODEL_API_KEY_NO_PERMISSION = \"090202\"  # API key does not have permission\n    MODEL_RATE_LIMIT_EXCEEDED = \"090203\"  # Rate limit exceeded\n    MODEL_SERVICE_UNAVAILABLE = \"090204\"  # Model service is temporarily unavailable\n    MODEL_CONNECTION_ERROR = \"090205\"  # Failed to connect to model service\n\n    # ==================== 10 Memory / 记忆管理 ====================\n    # 01 - Memory\n    MEMORY_NOT_FOUND = \"100101\"  # Memory not found\n    MEMORY_PREPARATION_FAILED = \"100102\"  # Memory preparation failed\n    MEMORY_CONFIG_INVALID = \"100103\"  # Invalid memory configuration\n\n    # ==================== 11 Profile / 个人信息 ====================\n    # 01 - User\n    PROFILE_USER_NOT_FOUND = \"110101\"  # User not found\n    PROFILE_UPDATE_FAILED = \"110102\"  # Profile update failed\n    PROFILE_USER_ALREADY_EXISTS = \"110103\"  # User already exists\n    PROFILE_INVALID_CREDENTIALS = \"110104\"  # Invalid credentials\n\n    # ==================== 12 TenantResource / 租户资源 ====================\n    # 01 - Tenant\n    TENANT_NOT_FOUND = \"120101\"  # Tenant not found\n    TENANT_DISABLED = \"120102\"  # Tenant disabled\n    TENANT_CONFIG_ERROR = \"120103\"  # Tenant configuration error\n    TENANT_RESOURCE_EXCEEDED = \"120104\"  # Tenant resource exceeded\n\n    # ==================== 13 External / 外部服务 ====================\n    # 01 - DataMate\n    DATAMATE_CONNECTION_FAILED = \"130101\"  # DataMate connection failed\n\n    # 02 - Dify\n    DIFY_SERVICE_ERROR = \"130201\"  # Dify service error\n    DIFY_CONFIG_INVALID = \"130202\"  # Invalid Dify configuration\n    DIFY_CONNECTION_ERROR = \"130203\"  # Dify connection error\n    DIFY_AUTH_ERROR = \"130204\"  # Dify auth error\n    DIFY_RATE_LIMIT = \"130205\"  # Dify rate limit\n    DIFY_RESPONSE_ERROR = \"130206\"  # Dify response error\n\n    # 03 - ME Service\n    ME_CONNECTION_FAILED = \"130301\"  # ME service connection failed\n\n    # 04 - iData Service\n    IDATA_SERVICE_ERROR = \"130401\"  # iData service error\n    IDATA_CONFIG_INVALID = \"130402\"  # Invalid iData configuration\n    IDATA_CONNECTION_ERROR = \"130403\"  # iData connection error\n    IDATA_AUTH_ERROR = \"130404\"  # iData auth error\n    IDATA_RATE_LIMIT = \"130405\"  # iData rate limit\n    IDATA_RESPONSE_ERROR = \"130406\"  # iData response error\n\n    # ==================== 14 Northbound / 北向接口 ====================\n    # 01 - Request\n    NORTHBOUND_REQUEST_FAILED = \"140101\"  # Northbound request failed\n\n    # 02 - Configuration\n    NORTHBOUND_CONFIG_INVALID = \"140201\"  # Invalid northbound configuration\n\n    # ==================== 15 DataProcess / 数据处理 ====================\n    # 01 - Task\n    DATAPROCESS_TASK_FAILED = \"150101\"  # Data process task failed\n    DATAPROCESS_PARSE_FAILED = \"150102\"  # Data parse failed\n\n    # ==================== 99 System / 系统级 ====================\n    # 01 - System Errors\n    SYSTEM_UNKNOWN_ERROR = \"990101\"  # Unknown error\n    SYSTEM_SERVICE_UNAVAILABLE = \"990102\"  # Service unavailable\n    SYSTEM_DATABASE_ERROR = \"990103\"  # Database error\n    SYSTEM_TIMEOUT = \"990104\"  # Timeout\n    SYSTEM_INTERNAL_ERROR = \"990105\"  # Internal error\n\n    # 02 - Config\n    CONFIG_NOT_FOUND = \"990201\"  # Configuration not found\n    CONFIG_UPDATE_FAILED = \"990202\"  # Configuration update failed\n\n\n# HTTP status code mapping\nERROR_CODE_HTTP_STATUS = {\n    # Common - Auth\n    ErrorCode.COMMON_UNAUTHORIZED: 401,\n    ErrorCode.COMMON_TOKEN_EXPIRED: 401,\n    ErrorCode.COMMON_TOKEN_INVALID: 401,\n    ErrorCode.COMMON_FORBIDDEN: 403,\n    # Common - Validation\n    ErrorCode.COMMON_VALIDATION_ERROR: 400,\n    ErrorCode.COMMON_PARAMETER_INVALID: 400,\n    ErrorCode.COMMON_MISSING_REQUIRED_FIELD: 400,\n    # Common - Rate Limit\n    ErrorCode.COMMON_RATE_LIMIT_EXCEEDED: 429,\n    # Common - Resource\n    ErrorCode.COMMON_RESOURCE_NOT_FOUND: 404,\n    ErrorCode.COMMON_RESOURCE_ALREADY_EXISTS: 409,\n    ErrorCode.COMMON_RESOURCE_DISABLED: 403,\n    # Common - File\n    ErrorCode.FILE_NOT_FOUND: 404,\n    ErrorCode.FILE_UPLOAD_FAILED: 500,\n    ErrorCode.FILE_TOO_LARGE: 413,\n    ErrorCode.FILE_TYPE_NOT_ALLOWED: 400,\n    ErrorCode.FILE_PREPROCESS_FAILED: 500,\n    # System\n    ErrorCode.SYSTEM_SERVICE_UNAVAILABLE: 503,\n    ErrorCode.SYSTEM_TIMEOUT: 504,\n    ErrorCode.SYSTEM_DATABASE_ERROR: 500,\n    ErrorCode.SYSTEM_INTERNAL_ERROR: 500,\n    # Dify (module 13)\n    ErrorCode.DIFY_CONFIG_INVALID: 400,\n    ErrorCode.DIFY_AUTH_ERROR: 401,\n    ErrorCode.DIFY_CONNECTION_ERROR: 502,\n    ErrorCode.DIFY_RESPONSE_ERROR: 502,\n    ErrorCode.DIFY_RATE_LIMIT: 429,\n    # iData (module 13)\n    ErrorCode.IDATA_CONFIG_INVALID: 400,\n    ErrorCode.IDATA_AUTH_ERROR: 401,\n    ErrorCode.IDATA_CONNECTION_ERROR: 502,\n    ErrorCode.IDATA_RESPONSE_ERROR: 502,\n    ErrorCode.IDATA_RATE_LIMIT: 429,\n}\n"
  },
  {
    "path": "backend/consts/error_message.py",
    "content": "\"\"\"\nError message mappings for error codes.\n\nThis module provides default English error messages.\nFrontend should use i18n for localized messages.\n\"\"\"\n\nfrom .error_code import ErrorCode\n\n\nclass ErrorMessage:\n    \"\"\"Error code to message mapping.\"\"\"\n\n    _MESSAGES = {\n        # ==================== 00 Common / 公共 ====================\n        # 00 - Parameter & Validation\n        ErrorCode.COMMON_VALIDATION_ERROR: \"Validation failed.\",\n        ErrorCode.COMMON_PARAMETER_INVALID: \"Invalid parameter.\",\n        ErrorCode.COMMON_MISSING_REQUIRED_FIELD: \"Required field is missing.\",\n        # 01 - Auth & Permission\n        ErrorCode.COMMON_UNAUTHORIZED: \"You are not authorized to perform this action.\",\n        ErrorCode.COMMON_FORBIDDEN: \"Access forbidden.\",\n        ErrorCode.COMMON_TOKEN_EXPIRED: \"Your session has expired. Please login again.\",\n        ErrorCode.COMMON_TOKEN_INVALID: \"Invalid token. Please login again.\",\n        # 02 - External Service\n        ErrorCode.COMMON_EXTERNAL_SERVICE_ERROR: \"External service error.\",\n        ErrorCode.COMMON_RATE_LIMIT_EXCEEDED: \"Too many requests. Please try again later.\",\n        # 03 - File\n        ErrorCode.FILE_NOT_FOUND: \"File not found.\",\n        ErrorCode.FILE_UPLOAD_FAILED: \"Failed to upload file.\",\n        ErrorCode.FILE_TOO_LARGE: \"File size exceeds limit.\",\n        ErrorCode.FILE_TYPE_NOT_ALLOWED: \"File type not allowed.\",\n        ErrorCode.FILE_PREPROCESS_FAILED: \"File preprocessing failed.\",\n        # 04 - Resource\n        ErrorCode.COMMON_RESOURCE_NOT_FOUND: \"Resource not found.\",\n        ErrorCode.COMMON_RESOURCE_ALREADY_EXISTS: \"Resource already exists.\",\n        ErrorCode.COMMON_RESOURCE_DISABLED: \"Resource is disabled.\",\n\n        # ==================== 01 Chat / 开始问答 ====================\n        ErrorCode.CHAT_CONVERSATION_NOT_FOUND: \"Conversation not found.\",\n        ErrorCode.CHAT_MESSAGE_NOT_FOUND: \"Message not found.\",\n        ErrorCode.CHAT_CONVERSATION_SAVE_FAILED: \"Failed to save conversation.\",\n        ErrorCode.CHAT_TITLE_GENERATION_FAILED: \"Failed to generate conversation title.\",\n\n        # ==================== 02 QuickConfig / 快速配置 ====================\n        ErrorCode.QUICK_CONFIG_INVALID: \"Invalid configuration.\",\n        ErrorCode.QUICK_CONFIG_SYNC_FAILED: \"Sync configuration failed.\",\n\n        # ==================== 03 AgentSpace / 智能体空间 ====================\n        ErrorCode.AGENTSPACE_AGENT_NOT_FOUND: \"Agent not found.\",\n        ErrorCode.AGENTSPACE_AGENT_DISABLED: \"Agent is disabled.\",\n        ErrorCode.AGENTSPACE_AGENT_RUN_FAILED: \"Failed to run agent. Please try again later.\",\n        ErrorCode.AGENTSPACE_AGENT_NAME_DUPLICATE: \"Agent name already exists.\",\n        ErrorCode.AGENTSPACE_VERSION_NOT_FOUND: \"Agent version not found.\",\n\n        # ==================== 04 AgentMarket / 智能体市场 ====================\n        ErrorCode.AGENTMARKET_AGENT_NOT_FOUND: \"Agent not found in market.\",\n\n        # ==================== 05 AgentDev / 智能体开发 ====================\n        ErrorCode.AGENTDEV_CONFIG_INVALID: \"Invalid agent configuration.\",\n        ErrorCode.AGENTDEV_PROMPT_INVALID: \"Invalid prompt.\",\n\n        # ==================== 06 Knowledge / 知识库 ====================\n        ErrorCode.KNOWLEDGE_NOT_FOUND: \"Knowledge base not found.\",\n        ErrorCode.KNOWLEDGE_UPLOAD_FAILED: \"Failed to upload knowledge.\",\n        ErrorCode.KNOWLEDGE_SYNC_FAILED: \"Failed to sync knowledge base.\",\n        ErrorCode.KNOWLEDGE_INDEX_NOT_FOUND: \"Search index not found.\",\n        ErrorCode.KNOWLEDGE_SEARCH_FAILED: \"Knowledge search failed.\",\n\n        # ==================== 07 MCPTools / MCP 工具 ====================\n        ErrorCode.MCP_TOOL_NOT_FOUND: \"Tool not found.\",\n        ErrorCode.MCP_TOOL_EXECUTION_FAILED: \"Tool execution failed.\",\n        ErrorCode.MCP_TOOL_CONFIG_INVALID: \"Tool configuration is invalid.\",\n        ErrorCode.MCP_CONNECTION_FAILED: \"Failed to connect to MCP service.\",\n        ErrorCode.MCP_CONTAINER_ERROR: \"MCP container operation failed.\",\n        ErrorCode.MCP_NAME_ILLEGAL: \"MCP name contains invalid characters.\",\n\n        # ==================== 08 MonitorOps / 监控与运维 ====================\n        ErrorCode.MONITOROPS_METRIC_QUERY_FAILED: \"Metric query failed.\",\n        ErrorCode.MONITOROPS_ALERT_CONFIG_INVALID: \"Invalid alert configuration.\",\n\n        # ==================== 09 Model / 模型管理 ====================\n        ErrorCode.MODEL_NOT_FOUND: \"Model not found.\",\n        ErrorCode.MODEL_CONFIG_INVALID: \"Model configuration is invalid.\",\n        ErrorCode.MODEL_HEALTH_CHECK_FAILED: \"Model health check failed.\",\n        ErrorCode.MODEL_PROVIDER_ERROR: \"Model provider error.\",\n        ErrorCode.MODEL_PROMPT_GENERATION_FAILED: \"Model is unavailable. Please check the model status and try again.\",\n        # 02 - Model API errors\n        ErrorCode.MODEL_API_KEY_INVALID: \"Model API key is invalid or expired. Please check your API key configuration.\",\n        ErrorCode.MODEL_API_KEY_NO_PERMISSION: \"Model API key does not have permission. Please check your API key permissions.\",\n        ErrorCode.MODEL_RATE_LIMIT_EXCEEDED: \"Rate limit exceeded. Please try again later.\",\n        ErrorCode.MODEL_SERVICE_UNAVAILABLE: \"Model service is temporarily unavailable. Please try again later.\",\n        ErrorCode.MODEL_CONNECTION_ERROR: \"Failed to connect to model service. Please check your network and model configuration.\",\n\n        # ==================== 10 Memory / 记忆管理 ====================\n        ErrorCode.MEMORY_NOT_FOUND: \"Memory not found.\",\n        ErrorCode.MEMORY_PREPARATION_FAILED: \"Failed to prepare memory.\",\n        ErrorCode.MEMORY_CONFIG_INVALID: \"Memory configuration is invalid.\",\n\n        # ==================== 11 Profile / 个人信息 ====================\n        ErrorCode.PROFILE_USER_NOT_FOUND: \"User not found.\",\n        ErrorCode.PROFILE_UPDATE_FAILED: \"Profile update failed.\",\n        ErrorCode.PROFILE_USER_ALREADY_EXISTS: \"User already exists.\",\n        ErrorCode.PROFILE_INVALID_CREDENTIALS: \"Invalid username or password.\",\n\n        # ==================== 12 TenantResource / 租户资源 ====================\n        ErrorCode.TENANT_NOT_FOUND: \"Tenant not found.\",\n        ErrorCode.TENANT_DISABLED: \"Tenant is disabled.\",\n        ErrorCode.TENANT_CONFIG_ERROR: \"Tenant configuration error.\",\n        ErrorCode.TENANT_RESOURCE_EXCEEDED: \"Tenant resource exceeded.\",\n\n        # ==================== 13 External / 外部服务 ====================\n        ErrorCode.DATAMATE_CONNECTION_FAILED: \"Failed to connect to DataMate service.\",\n        ErrorCode.DIFY_SERVICE_ERROR: \"Dify service error.\",\n        ErrorCode.DIFY_CONFIG_INVALID: \"Dify configuration invalid. Please check URL and API key format.\",\n        ErrorCode.DIFY_CONNECTION_ERROR: \"Failed to connect to Dify. Please check network connection and URL.\",\n        ErrorCode.DIFY_RESPONSE_ERROR: \"Failed to parse Dify response. Please check API URL.\",\n        ErrorCode.DIFY_AUTH_ERROR: \"Dify authentication failed. Please check your API key.\",\n        ErrorCode.DIFY_RATE_LIMIT: \"Dify API rate limit exceeded. Please try again later.\",\n        ErrorCode.ME_CONNECTION_FAILED: \"Failed to connect to ME service.\",\n\n        # ==================== 14 Northbound / 北向接口 ====================\n        ErrorCode.NORTHBOUND_REQUEST_FAILED: \"Northbound request failed.\",\n        ErrorCode.NORTHBOUND_CONFIG_INVALID: \"Invalid northbound configuration.\",\n\n        # ==================== 15 DataProcess / 数据处理 ====================\n        ErrorCode.DATAPROCESS_TASK_FAILED: \"Data process task failed.\",\n        ErrorCode.DATAPROCESS_PARSE_FAILED: \"Data parsing failed.\",\n\n        # ==================== 99 System / 系统级 ====================\n        # 01 - System Errors\n        ErrorCode.SYSTEM_UNKNOWN_ERROR: \"An unknown error occurred. Please try again later.\",\n        ErrorCode.SYSTEM_SERVICE_UNAVAILABLE: \"Service is temporarily unavailable. Please try again later.\",\n        ErrorCode.SYSTEM_DATABASE_ERROR: \"Database operation failed. Please try again later.\",\n        ErrorCode.SYSTEM_TIMEOUT: \"Operation timed out. Please try again later.\",\n        ErrorCode.SYSTEM_INTERNAL_ERROR: \"Internal server error. Please try again later.\",\n        # 02 - Config\n        ErrorCode.CONFIG_NOT_FOUND: \"Configuration not found.\",\n        ErrorCode.CONFIG_UPDATE_FAILED: \"Configuration update failed.\",\n    }\n\n    @classmethod\n    def get_message(cls, error_code: ErrorCode) -> str:\n        \"\"\"Get error message by error code.\"\"\"\n        return cls._MESSAGES.get(error_code, \"An error occurred. Please try again later.\")\n\n    @classmethod\n    def get_message_with_code(cls, error_code: ErrorCode) -> tuple[int, str]:\n        \"\"\"Get error code and message as tuple.\"\"\"\n        return (error_code.value, cls.get_message(error_code))\n\n    @classmethod\n    def get_all_messages(cls) -> dict:\n        \"\"\"Get all error code to message mappings.\"\"\"\n        return {code.value: msg for code, msg in cls._MESSAGES.items()}\n"
  },
  {
    "path": "backend/consts/exceptions.py",
    "content": "\"\"\"\nCustom exception classes for the application.\n\nThis module provides two types of exceptions:\n\n1. New Framework (with ErrorCode):\n   from consts.error_code import ErrorCode\n   from consts.exceptions import AppException\n   \n   raise AppException(ErrorCode.COMMON_VALIDATION_ERROR, \"Validation failed\")\n   raise AppException(ErrorCode.MCP_CONNECTION_FAILED, \"Connection timeout\", details={\"host\": \"localhost\"})\n\n2. Legacy Framework (simple exceptions):\n   from consts.exceptions import ValidationError, NotFoundException, MCPConnectionError\n   \n   raise ValidationError(\"Tenant name cannot be empty\")\n   raise NotFoundException(\"Tenant 123 not found\")\n   raise MCPConnectionError(\"MCP connection failed\")\n\nThe exception handler automatically maps legacy exception class names to ErrorCode.\n\"\"\"\n\nfrom .error_code import ErrorCode, ERROR_CODE_HTTP_STATUS\nfrom .error_message import ErrorMessage\n\n\n# ==================== New Framework: AppException with ErrorCode ====================\n\nclass AppException(Exception):\n    \"\"\"\n    Base application exception with ErrorCode.\n\n    Usage:\n        raise AppException(ErrorCode.COMMON_VALIDATION_ERROR, \"Validation failed\")\n        raise AppException(ErrorCode.MCP_CONNECTION_FAILED, \"Timeout\", details={\"host\": \"x\"})\n    \"\"\"\n\n    def __init__(self, error_code: ErrorCode, message: str = None, details: dict = None):\n        self.error_code = error_code\n        self.message = message or ErrorMessage.get_message(error_code)\n        self.details = details or {}\n        super().__init__(self.message)\n\n    def to_dict(self) -> dict:\n        return {\n            \"code\": str(self.error_code.value),  # Keep as string to preserve leading zeros\n            \"message\": self.message,\n            \"details\": self.details if self.details else None\n        }\n\n    @property\n    def http_status(self) -> int:\n        return ERROR_CODE_HTTP_STATUS.get(self.error_code, 500)\n\n\ndef raise_error(error_code: ErrorCode, message: str = None, details: dict = None):\n    \"\"\"Raise an AppException with the given error code.\"\"\"\n    raise AppException(error_code, message, details)\n\n\n# ==================== Legacy Framework: Simple Exception Classes ====================\n# These are simple exceptions that work with the old calling pattern.\n# The exception handler automatically maps class names to ErrorCode.\n#\n# Usage (unchanged from before):\n#     raise ValidationError(\"Invalid input\")\n#     raise NotFoundException(\"Resource not found\")\n#     raise MCPConnectionError(\"Connection failed\")\n#\n# These do NOT require ErrorCode - they are simple Exception subclasses.\n# Exception handler will infer ErrorCode from class name.\n\nclass AgentRunException(Exception):\n    \"\"\"Exception raised when agent run fails.\"\"\"\n    pass\n\n\nclass LimitExceededError(Exception):\n    \"\"\"Raised when an outer platform calling too frequently\"\"\"\n    pass\n\n\nclass UnauthorizedError(Exception):\n    \"\"\"Raised when a user from outer platform is unauthorized.\"\"\"\n    pass\n\n\nclass SignatureValidationError(Exception):\n    \"\"\"Raised when X-Signature header is missing or does not match the expected HMAC value.\"\"\"\n    pass\n\n\nclass MemoryPreparationException(Exception):\n    \"\"\"Raised when memory preprocessing or retrieval fails prior to agent run.\"\"\"\n    pass\n\n\nclass MCPConnectionError(Exception):\n    \"\"\"Raised when MCP connection fails.\"\"\"\n    pass\n\n\nclass MCPNameIllegal(Exception):\n    \"\"\"Raised when MCP name is illegal.\"\"\"\n    pass\n\n\nclass NoInviteCodeException(Exception):\n    \"\"\"Raised when invite code is not found.\"\"\"\n    pass\n\n\nclass IncorrectInviteCodeException(Exception):\n    \"\"\"Raised when invite code is incorrect.\"\"\"\n    pass\n\n\nclass OfficeConversionException(Exception):\n    \"\"\"Raised when Office-to-PDF conversion via data-process service fails.\"\"\"\n    pass\n\n\nclass UnsupportedFileTypeException(Exception):\n    \"\"\"Raised when a file type is not supported for the requested operation.\"\"\"\n    pass\n\n\nclass FileTooLargeException(Exception):\n    \"\"\"Raised when a file exceeds the maximum allowed size for the requested operation.\"\"\"\n    pass\n\n\nclass UserRegistrationException(Exception):\n    \"\"\"Raised when user registration fails.\"\"\"\n    pass\n\n\nclass TimeoutException(Exception):\n    \"\"\"Raised when timeout occurs.\"\"\"\n    pass\n\n\nclass ValidationError(Exception):\n    \"\"\"Raised when validation fails.\"\"\"\n    pass\n\n\nclass NotFoundException(Exception):\n    \"\"\"Raised when not found exception occurs.\"\"\"\n    pass\n\n\nclass MEConnectionException(Exception):\n    \"\"\"Raised when ME connection fails.\"\"\"\n    pass\n\n\nclass VoiceServiceException(Exception):\n    \"\"\"Raised when voice service fails.\"\"\"\n    pass\n\n\nclass STTConnectionException(Exception):\n    \"\"\"Raised when STT service connection fails.\"\"\"\n    pass\n\n\nclass TTSConnectionException(Exception):\n    \"\"\"Raised when TTS service connection fails.\"\"\"\n    pass\n\n\nclass VoiceConfigException(Exception):\n    \"\"\"Raised when voice configuration is invalid.\"\"\"\n    pass\n\n\nclass ToolExecutionException(Exception):\n    \"\"\"Raised when mcp tool execution failed.\"\"\"\n    pass\n\n\nclass MCPContainerError(Exception):\n    \"\"\"Raised when MCP container operation fails.\"\"\"\n    pass\n\n\nclass DuplicateError(Exception):\n    \"\"\"Raised when a duplicate resource already exists.\"\"\"\n    pass\n\n\nclass DataMateConnectionError(Exception):\n    \"\"\"Raised when DataMate connection fails or URL is not configured.\"\"\"\n    pass\n\n\n# ==================== Legacy Aliases (same as above, for compatibility) ====================\n# These are additional aliases that map to the same simple exception classes above.\n# They provide backward compatibility for code that uses these names.\n\n# Common aliases\nParameterInvalidError = ValidationError\nForbiddenError = Exception  # Generic fallback\nServiceUnavailableError = Exception  # Generic fallback\nDatabaseError = Exception  # Generic fallback\nTimeoutError = TimeoutException\nUnknownError = Exception  # Generic fallback\n\n# Domain specific aliases\nUserNotFoundError = NotFoundException\nUserAlreadyExistsError = DuplicateError\nInvalidCredentialsError = UnauthorizedError\n\nTenantNotFoundError = NotFoundException\nTenantDisabledError = Exception  # Generic fallback\n\nAgentNotFoundError = NotFoundException\nAgentDisabledError = Exception  # Generic fallback\n\nToolNotFoundError = NotFoundException\n\nConversationNotFoundError = NotFoundException\n\nMemoryNotFoundError = NotFoundException\nKnowledgeNotFoundError = NotFoundException\n\nModelNotFoundError = NotFoundException\n\n# File aliases\nFileNotFoundError = NotFoundException\nFileUploadFailedError = Exception  # Generic fallback\nFileTooLargeError = Exception  # Generic fallback\n\n# External service aliases\nDifyServiceException = Exception  # Generic fallback\nExternalAPIError = Exception  # Generic fallback\n\n# Signature aliases\n# SignatureValidationError already defined above\n"
  },
  {
    "path": "backend/consts/model.py",
    "content": "from enum import Enum\nfrom typing import Optional, Any, List, Dict\n\nfrom pydantic import BaseModel, Field, EmailStr\nfrom nexent.core.agents.agent_model import ToolConfig\n\n\nclass ModelConnectStatusEnum(Enum):\n    \"\"\"Enum class for model connection status\"\"\"\n    NOT_DETECTED = \"not_detected\"\n    DETECTING = \"detecting\"\n    AVAILABLE = \"available\"\n    UNAVAILABLE = \"unavailable\"\n\n    @classmethod\n    def get_default(cls) -> str:\n        \"\"\"Get default value\"\"\"\n        return cls.NOT_DETECTED.value\n\n    @classmethod\n    def get_value(cls, status: Optional[str]) -> str:\n        \"\"\"Get value based on status, return default value if empty\"\"\"\n        if not status or status == \"\":\n            return cls.NOT_DETECTED.value\n        return status\n\n\n# User authentication related request models\nclass UserSignUpRequest(BaseModel):\n    \"\"\"User registration request model\"\"\"\n    email: EmailStr\n    password: str = Field(..., min_length=6)\n    invite_code: Optional[str] = None\n    auto_login: Optional[bool] = True  # Whether to return session after signup\n\n\nclass UserSignInRequest(BaseModel):\n    \"\"\"User login request model\"\"\"\n    email: EmailStr\n    password: str\n\n\nclass UserUpdateRequest(BaseModel):\n    \"\"\"User update request model\"\"\"\n    username: Optional[str] = Field(None, min_length=1, max_length=50)\n    email: Optional[EmailStr] = None\n    role: Optional[str] = Field(None, pattern=\"^(SUPER_ADMIN|ADMIN|DEV|USER)$\")\n\n\nclass UserDeleteRequest(BaseModel):\n    \"\"\"User delete request model\"\"\"\n    new_owner_id: Optional[str] = None\n\n\n# Response models for model management\nclass ModelResponse(BaseModel):\n    code: int = 200\n    message: str = \"\"\n    data: Any\n\n\nclass ModelRequest(BaseModel):\n    model_factory: Optional[str] = 'OpenAI-API-Compatible'\n    model_name: str\n    model_type: str\n    api_key: Optional[str] = ''\n    base_url: Optional[str] = ''\n    max_tokens: Optional[int] = 0\n    used_token: Optional[int] = 0\n    display_name: Optional[str] = ''\n    connect_status: Optional[str] = ''\n    expected_chunk_size: Optional[int] = None\n    maximum_chunk_size: Optional[int] = None\n    chunk_batch: Optional[int] = None\n\n\nclass ProviderModelRequest(BaseModel):\n    provider: str\n    model_type: str\n    api_key: Optional[str] = ''\n    base_url: Optional[str] = ''\n\n\nclass BatchCreateModelsRequest(BaseModel):\n    api_key: str\n    models: List[Dict]\n    provider: str\n    type: str\n\n\n# Configuration models\nclass ModelApiConfig(BaseModel):\n    apiKey: str\n    modelUrl: str\n\n\nclass SingleModelConfig(BaseModel):\n    modelName: str\n    displayName: str\n    apiConfig: Optional[ModelApiConfig] = None\n    dimension: Optional[int] = None\n\n\nclass ModelConfig(BaseModel):\n    llm: SingleModelConfig\n    embedding: SingleModelConfig\n    multiEmbedding: SingleModelConfig\n    rerank: SingleModelConfig\n    vlm: SingleModelConfig\n    stt: SingleModelConfig\n    tts: SingleModelConfig\n\n\nclass AppConfig(BaseModel):\n    appName: str\n    appDescription: str\n    iconType: str\n    iconKey: Optional[str] = \"search\"\n    customIconUrl: Optional[str] = None\n    avatarUri: Optional[str] = None\n    modelEngineEnabled: bool = False\n    datamateUrl: Optional[str] = None\n\n\nclass GlobalConfig(BaseModel):\n    app: AppConfig\n    models: ModelConfig\n\n\n# Request models\nclass AgentRequest(BaseModel):\n    query: str\n    conversation_id: Optional[int] = None\n    is_set: Optional[bool] = False\n    history: Optional[List[Dict]] = None\n    # Complete list of attachment information\n    minio_files: Optional[List[Dict[str, Any]]] = None\n    agent_id: Optional[int] = None\n    is_debug: Optional[bool] = False\n\n\nclass MessageUnit(BaseModel):\n    type: str\n    content: str\n\n\nclass MessageRequest(BaseModel):\n    conversation_id: int  # Modified to integer type to match database auto-increment ID\n    message_idx: int  # Modified to integer type\n    role: str\n    message: List[MessageUnit]\n    # Complete list of attachment information\n    minio_files: Optional[List[Dict[str, Any]]] = None\n\n\nclass ConversationRequest(BaseModel):\n    title: str = \"新对话\"\n\n\nclass ConversationResponse(BaseModel):\n    code: int = 0  # Modified default value to 0\n    message: str = \"success\"\n    data: Any\n\n\nclass RenameRequest(BaseModel):\n    conversation_id: int\n    name: str\n\n\n# Pydantic models for API\nclass TaskRequest(BaseModel):\n    source: str\n    source_type: str\n    chunking_strategy: Optional[str] = None\n    index_name: Optional[str] = None\n    original_filename: Optional[str] = None\n    embedding_model_id: Optional[int] = None\n    tenant_id: Optional[str] = None\n    additional_params: Dict[str, Any] = Field(default_factory=dict)\n\n\nclass BatchTaskRequest(BaseModel):\n    sources: List[Dict[str, Any]\n                  ] = Field(..., description=\"List of source objects to process\")\n\n\nclass IndexingResponse(BaseModel):\n    success: bool\n    message: str\n    total_indexed: int\n    total_submitted: int\n\n\nclass ChunkCreateRequest(BaseModel):\n    \"\"\"Request payload for manual chunk creation.\"\"\"\n\n    content: str = Field(..., min_length=1, description=\"Chunk content\")\n    title: Optional[str] = Field(None, description=\"Optional chunk title\")\n    filename: Optional[str] = Field(None, description=\"Associated file name\")\n    path_or_url: Optional[str] = Field(None, description=\"Source path or URL\")\n    chunk_id: Optional[str] = Field(\n        None, description=\"Explicit chunk identifier\")\n    metadata: Dict[str, Any] = Field(\n        default_factory=dict, description=\"Additional chunk metadata\")\n\n\nclass ChunkUpdateRequest(BaseModel):\n    \"\"\"Request payload for chunk updates.\"\"\"\n\n    content: Optional[str] = Field(None, description=\"Updated chunk content\")\n    title: Optional[str] = Field(None, description=\"Updated chunk title\")\n    filename: Optional[str] = Field(None, description=\"Updated file name\")\n    path_or_url: Optional[str] = Field(\n        None, description=\"Updated source path or URL\")\n    metadata: Dict[str, Any] = Field(\n        default_factory=dict, description=\"Additional metadata updates\")\n\n\nclass HybridSearchRequest(BaseModel):\n    \"\"\"Request payload for hybrid knowledge-base searches.\"\"\"\n    query: str = Field(..., min_length=1,\n                       description=\"Search query text\")\n    index_names: List[str] = Field(..., min_items=1,\n                                   description=\"List of index names to search\")\n    top_k: int = Field(10, ge=1, le=100,\n                       description=\"Number of results to return\")\n    weight_accurate: float = Field(0.5, ge=0.0, le=1.0,\n                                   description=\"Weight applied to accurate search scores\")\n\n\n# Request models\nclass ProcessParams(BaseModel):\n    chunking_strategy: Optional[str] = \"basic\"\n    source_type: str\n    index_name: str\n    authorization: Optional[str] = None\n\n\nclass OpinionRequest(BaseModel):\n    message_id: int\n    opinion: Optional[str] = None\n\n\n# used in prompt/generate request\nclass GeneratePromptRequest(BaseModel):\n    task_description: str\n    agent_id: int\n    model_id: int\n    tool_ids: Optional[List[int]] = Field(\n        None, description=\"Optional: tool IDs from frontend (takes precedence over database query)\")\n    sub_agent_ids: Optional[List[int]] = Field(\n        None, description=\"Optional: sub-agent IDs from frontend (takes precedence over database query)\")\n\n\nclass GenerateTitleRequest(BaseModel):\n    conversation_id: int\n    question: str\n\n\n# used in agent/search agent/update for save agent info\nclass AgentInfoRequest(BaseModel):\n    agent_id: Optional[int] = None\n    name: Optional[str] = None\n    display_name: Optional[str] = None\n    description: Optional[str] = None\n    business_description: Optional[str] = None\n    author: Optional[str] = None\n    model_name: Optional[str] = None\n    model_id: Optional[int] = None\n    max_steps: Optional[int] = None\n    provide_run_summary: Optional[bool] = None\n    duty_prompt: Optional[str] = None\n    constraint_prompt: Optional[str] = None\n    few_shots_prompt: Optional[str] = None\n    enabled: Optional[bool] = None\n    business_logic_model_name: Optional[str] = None\n    business_logic_model_id: Optional[int] = None\n    enabled_tool_ids: Optional[List[int]] = None\n    related_agent_ids: Optional[List[int]] = None\n    group_ids: Optional[List[int]] = None\n    ingroup_permission: Optional[str] = None\n    version_no: int = 0\n\n\nclass AgentIDRequest(BaseModel):\n    agent_id: int\n\n\nclass ToolInstanceInfoRequest(BaseModel):\n    tool_id: int\n    agent_id: int\n    params: Dict[str, Any]\n    enabled: bool\n    version_no: int = 0\n\n\nclass ToolInstanceSearchRequest(BaseModel):\n    tool_id: int\n    agent_id: int\n\n\nclass ToolSourceEnum(Enum):\n    LOCAL = \"local\"\n    MCP = \"mcp\"\n    LANGCHAIN = \"langchain\"\n\n\nclass ToolInfo(BaseModel):\n    name: str\n    description: str\n    params: List\n    source: str\n    inputs: str\n    output_type: str\n    class_name: str\n    usage: Optional[str]\n    origin_name: Optional[str] = None\n    category: Optional[str] = None\n\n\n# used in Knowledge Summary request\nclass ChangeSummaryRequest(BaseModel):\n    summary_result: str\n\n\nclass MessageIdRequest(BaseModel):\n    conversation_id: int\n    message_index: int\n\n\nclass ExportAndImportAgentInfo(BaseModel):\n    agent_id: int\n    name: str\n    display_name: Optional[str] = None\n    description: str\n    business_description: str\n    author: Optional[str] = None\n    max_steps: int\n    provide_run_summary: bool\n    duty_prompt: Optional[str] = None\n    constraint_prompt: Optional[str] = None\n    few_shots_prompt: Optional[str] = None\n    enabled: bool\n    tools: List[ToolConfig]\n    managed_agents: List[int]\n    model_id: Optional[int] = None\n    model_name: Optional[str] = None\n    business_logic_model_id: Optional[int] = None\n    business_logic_model_name: Optional[str] = None\n\n    class Config:\n        arbitrary_types_allowed = True\n\n\nclass MCPInfo(BaseModel):\n    mcp_server_name: str\n    mcp_url: str\n\n\nclass ExportAndImportDataFormat(BaseModel):\n    agent_id: int\n    agent_info: Dict[str, ExportAndImportAgentInfo]\n    mcp_info: List[MCPInfo]\n\n\nclass AgentImportRequest(BaseModel):\n    agent_info: ExportAndImportDataFormat\n    force_import: bool = False\n\n\nclass AgentNameBatchRegenerateItem(BaseModel):\n    name: str\n    display_name: Optional[str] = None\n    task_description: Optional[str] = \"\"\n    agent_id: Optional[int] = None\n\n\nclass AgentNameBatchRegenerateRequest(BaseModel):\n    items: List[AgentNameBatchRegenerateItem]\n\n\nclass AgentNameBatchCheckItem(BaseModel):\n    name: str\n    display_name: Optional[str] = None\n    agent_id: Optional[int] = None\n\n\nclass AgentNameBatchCheckRequest(BaseModel):\n    items: List[AgentNameBatchCheckItem]\n\n\nclass ConvertStateRequest(BaseModel):\n    \"\"\"Request schema for /tasks/convert_state endpoint\"\"\"\n    process_state: str = \"\"\n    forward_state: str = \"\"\n\n\n# ---------------------------------------------------------------------------\n# Memory Feature Data Models (Missing previously)\n# ---------------------------------------------------------------------------\nclass MemoryAgentShareMode(str, Enum):\n    \"\"\"Memory sharing mode for agent-level memory.\n\n    always: Agent memories are always shared with others.\n    ask:    Ask user every time whether to share.\n    never:  Never share agent memories.\n    \"\"\"\n\n    ALWAYS = \"always\"\n    ASK = \"ask\"\n    NEVER = \"never\"\n\n    @classmethod\n    def default(cls) -> \"MemoryAgentShareMode\":\n        return cls.NEVER\n\n\n# Voice Service Data Models\n# ---------------------------------------------------------------------------\nclass VoiceConnectivityRequest(BaseModel):\n    \"\"\"Request model for voice service connectivity check\"\"\"\n    model_type: str = Field(...,\n                            description=\"Type of model to check ('stt' or 'tts')\")\n\n\nclass VoiceConnectivityResponse(BaseModel):\n    \"\"\"Response model for voice service connectivity check\"\"\"\n    connected: bool = Field(...,\n                            description=\"Whether the service is connected\")\n    model_type: str = Field(..., description=\"Type of model checked\")\n    message: str = Field(..., description=\"Status message\")\n\n\nclass TTSRequest(BaseModel):\n    \"\"\"Request model for TTS text-to-speech conversion\"\"\"\n    text: str = Field(..., min_length=1,\n                      description=\"Text to convert to speech\")\n    stream: bool = Field(True, description=\"Whether to stream the audio\")\n\n\nclass TTSResponse(BaseModel):\n    \"\"\"Response model for TTS conversion\"\"\"\n    status: str = Field(..., description=\"Status of the TTS conversion\")\n    message: Optional[str] = Field(None, description=\"Additional message\")\n\n\nclass ToolValidateRequest(BaseModel):\n    \"\"\"Request model for tool validation\"\"\"\n    name: str = Field(..., description=\"Tool name to validate\")\n    source: str = Field(..., description=\"Tool source (local, mcp, langchain)\")\n    usage: Optional[str] = Field(None, description=\"Tool usage information\")\n    inputs: Optional[Dict[str, Any]] = Field(\n        None, description=\"Tool inputs\")\n    params: Optional[Dict[str, Any]] = Field(\n        None, description=\"Tool configuration parameters\")\n\n\nclass MCPServerConfig(BaseModel):\n    \"\"\"Configuration for a single MCP server\"\"\"\n    command: str = Field(..., description=\"Command to run (e.g., 'npx')\")\n    args: List[str] = Field(default_factory=list,\n                            description=\"Command arguments\")\n    env: Optional[Dict[str, str]] = Field(\n        None, description=\"Environment variables for the MCP server\")\n    port: Optional[int] = Field(\n        None, description=\"Host port to expose the MCP server on (e.g., 5020)\")\n    image: Optional[str] = Field(\n        None,\n        description=\"Docker image for the MCP proxy container (optional, overrides MCP_DOCKER_IMAGE)\",\n    )\n\n\nclass MCPConfigRequest(BaseModel):\n    \"\"\"Request model for adding MCP servers from configuration\"\"\"\n    mcpServers: Dict[str, MCPServerConfig] = Field(\n        ..., description=\"Dictionary of MCP server configurations\")\n\n\nclass UpdateKnowledgeListRequest(BaseModel):\n    \"\"\"Request model for updating user's selected knowledge base list grouped by source\"\"\"\n    nexent: Optional[List[str]] = Field(\n        None, description=\"List of knowledge base index names from nexent source\")\n    datamate: Optional[List[str]] = Field(\n        None, description=\"List of knowledge base index names from datamate source\")\n\n\nclass MCPUpdateRequest(BaseModel):\n    \"\"\"Request model for updating an existing MCP server\"\"\"\n    current_service_name: str = Field(...,\n                                      description=\"Current MCP service name\")\n    current_mcp_url: str = Field(..., description=\"Current MCP server URL\")\n    new_service_name: str = Field(..., description=\"New MCP service name\")\n    new_mcp_url: str = Field(..., description=\"New MCP server URL\")\n    new_authorization_token: Optional[str] = Field(\n        None, description=\"New authorization token for MCP server authentication (e.g., Bearer token)\")\n\n\n# Tenant Management Data Models\n# ---------------------------------------------------------------------------\nclass TenantCreateRequest(BaseModel):\n    \"\"\"Request model for creating a tenant\"\"\"\n    tenant_name: str = Field(..., min_length=1,\n                             description=\"Tenant display name\")\n\n\nclass TenantUpdateRequest(BaseModel):\n    \"\"\"Request model for updating tenant information\"\"\"\n    tenant_name: str = Field(..., min_length=1,\n                             description=\"New tenant display name\")\n\n\n# Pagination request model\nclass PaginationRequest(BaseModel):\n    \"\"\"Request model for pagination parameters\"\"\"\n    page: int = Field(1, ge=1, description=\"Page number\")\n    page_size: int = Field(20, ge=1, le=100, description=\"Items per page\")\n\n\n# Group Management Data Models\n# ---------------------------------------------------------------------------\nclass GroupCreateRequest(BaseModel):\n    \"\"\"Request model for creating a group\"\"\"\n    tenant_id: str = Field(..., min_length=1,\n                           description=\"Tenant ID where the group belongs\")\n    group_name: str = Field(..., min_length=1,\n                            description=\"Group display name\")\n    group_description: Optional[str] = Field(\n        None, description=\"Optional group description\")\n\n\nclass GroupUpdateRequest(BaseModel):\n    \"\"\"Request model for updating group information\"\"\"\n    group_name: Optional[str] = Field(None, description=\"New group name\")\n    group_description: Optional[str] = Field(\n        None, description=\"New group description\")\n\n\nclass GroupListRequest(BaseModel):\n    \"\"\"Request model for listing groups\"\"\"\n    tenant_id: str = Field(..., description=\"Tenant ID to filter groups\")\n    page: Optional[int] = Field(\n        None, ge=1, description=\"Page number for pagination. If not provided, returns all data\")\n    page_size: Optional[int] = Field(\n        None, ge=1, le=100, description=\"Number of items per page. If not provided, returns all data\")\n    sort_by: Optional[str] = Field(\n        \"created_at\", description=\"Field to sort by\")\n    sort_order: Optional[str] = Field(\n        \"desc\", description=\"Sort order (asc or desc)\")\n\n\nclass UserListRequest(BaseModel):\n    \"\"\"Request model for listing users\"\"\"\n    tenant_id: str = Field(..., description=\"Tenant ID to filter users\")\n    page: Optional[int] = Field(\n        None, ge=1, description=\"Page number for pagination. If not provided, returns all data\")\n    page_size: Optional[int] = Field(\n        None, ge=1, le=100, description=\"Number of items per page. If not provided, returns all data\")\n    sort_by: Optional[str] = Field(\n        \"created_at\", description=\"Field to sort by\")\n    sort_order: Optional[str] = Field(\n        \"desc\", description=\"Sort order (asc or desc)\")\n\n\nclass GroupUserRequest(BaseModel):\n    \"\"\"Request model for adding/removing user from group\"\"\"\n    user_id: str = Field(..., min_length=1,\n                         description=\"User ID to add/remove\")\n    group_ids: Optional[List[int]] = Field(\n        None, description=\"List of group IDs (for batch operations)\")\n\n\nclass GroupMembersUpdateRequest(BaseModel):\n    \"\"\"Request model for batch updating group members\"\"\"\n    user_ids: List[str] = Field(..., description=\"List of user IDs to set as group members\")\n\n\nclass SetDefaultGroupRequest(BaseModel):\n    \"\"\"Request model for setting tenant's default group\"\"\"\n    default_group_id: int = Field(..., ge=1,\n                                  description=\"Group ID to set as default for the tenant\")\n\n\n# Invitation Management Data Models\n# ---------------------------------------------------------------------------\nclass InvitationCreateRequest(BaseModel):\n    \"\"\"Request model for creating invitation code\"\"\"\n    tenant_id: str = Field(\n        ..., min_length=1, description=\"Tenant ID where the invitation belongs\")\n    code_type: str = Field(\n        ..., description=\"Invitation code type (ADMIN_INVITE, DEV_INVITE, USER_INVITE)\")\n    invitation_code: Optional[str] = Field(\n        None, description=\"Custom invitation code (auto-generated if not provided)\")\n    group_ids: Optional[List[int]] = Field(\n        None, description=\"Associated group IDs\")\n    capacity: int = Field(\n        default=1, ge=1, description=\"Maximum usage capacity\")\n    expiry_date: Optional[str] = Field(\n        None, description=\"Expiry date in ISO format\")\n\n\nclass InvitationUpdateRequest(BaseModel):\n    \"\"\"Request model for updating invitation code\"\"\"\n    capacity: Optional[int] = Field(None, ge=1, description=\"New capacity\")\n    expiry_date: Optional[str] = Field(None, description=\"New expiry date\")\n    group_ids: Optional[List[int]] = Field(None, description=\"New group IDs\")\n\n\nclass InvitationResponse(BaseModel):\n    \"\"\"Response model for invitation information\"\"\"\n    invitation_id: int = Field(..., description=\"Invitation ID\")\n    invitation_code: str = Field(..., description=\"Invitation code\")\n    code_type: str = Field(..., description=\"Code type\")\n    group_ids: Optional[List[int]] = Field(\n        None, description=\"Associated group IDs\")\n    capacity: int = Field(..., description=\"Usage capacity\")\n    expiry_date: Optional[str] = Field(None, description=\"Expiry date\")\n    status: str = Field(..., description=\"Current status\")\n    created_at: Optional[str] = Field(None, description=\"Creation timestamp\")\n    updated_at: Optional[str] = Field(\n        None, description=\"Last update timestamp\")\n\n\nclass InvitationListRequest(BaseModel):\n    \"\"\"Request model for listing invitation codes\"\"\"\n    tenant_id: Optional[str] = Field(\n        None, description=\"Tenant ID to filter by (optional)\")\n    page: int = Field(1, ge=1, description=\"Page number for pagination\")\n    page_size: int = Field(\n        20, ge=1, le=100, description=\"Number of items per page\")\n    sort_by: Optional[str] = Field(\n        None, description=\"Sort field (create_time, update_time, etc.)\")\n    sort_order: Optional[str] = Field(\n        None, description=\"Sort order (asc, desc)\")\n\n\nclass InvitationUseResponse(BaseModel):\n    \"\"\"Response model for invitation usage\"\"\"\n    invitation_record_id: int = Field(..., description=\"Usage record ID\")\n    invitation_code: str = Field(..., description=\"Used invitation code\")\n    user_id: str = Field(..., description=\"User who used the code\")\n    invitation_id: int = Field(..., description=\"Invitation ID\")\n    code_type: str = Field(..., description=\"Code type\")\n    group_ids: Optional[List[int]] = Field(\n        None, description=\"Associated group IDs\")\n\n\n# Manage Tenant Model Data Models\n# ---------------------------------------------------------------------------\nclass ManageTenantModelListRequest(BaseModel):\n    \"\"\"Request model for listing models in a specific tenant (manage operation)\"\"\"\n    tenant_id: str = Field(..., min_length=1, description=\"Target tenant ID to query models for\")\n    model_type: Optional[str] = Field(\n        None, description=\"Filter by model type (e.g., 'llm', 'embedding')\")\n    page: int = Field(1, ge=1, description=\"Page number for pagination\")\n    page_size: int = Field(20, ge=1, le=100, description=\"Items per page\")\n\n\nclass ManageTenantModelListResponse(BaseModel):\n    \"\"\"Response model for tenant model list query\"\"\"\n    tenant_id: str = Field(..., description=\"Tenant identifier\")\n    tenant_name: str = Field(..., description=\"Tenant display name\")\n    models: List[Dict[str, Any]] = Field(\n        default_factory=list, description=\"List of models for this tenant\")\n    total: int = Field(0, description=\"Total number of models\")\n    page: int = Field(1, description=\"Current page number\")\n    page_size: int = Field(20, description=\"Items per page\")\n    total_pages: int = Field(0, description=\"Total number of pages\")\n\n\nclass ManageTenantModelCreateRequest(BaseModel):\n    \"\"\"Request model for creating a model in a specific tenant (admin/manage operation)\"\"\"\n    tenant_id: str = Field(..., min_length=1, description=\"Target tenant ID to create model for\")\n    model_repo: Optional[str] = Field('', description=\"Model repository path\")\n    model_name: str = Field(..., description=\"Model name\")\n    model_type: str = Field(..., description=\"Model type (e.g., 'llm', 'embedding', 'vlm', 'tts', 'stt')\")\n    api_key: Optional[str] = Field('', description=\"API key for the model\")\n    base_url: Optional[str] = Field('', description=\"Base URL for the model API\")\n    max_tokens: Optional[int] = Field(0, description=\"Maximum tokens for the model\")\n    display_name: Optional[str] = Field('', description=\"Display name for the model\")\n    expected_chunk_size: Optional[int] = Field(None, description=\"Expected chunk size for embedding models\")\n    maximum_chunk_size: Optional[int] = Field(None, description=\"Maximum chunk size for embedding models\")\n    chunk_batch: Optional[int] = Field(None, description=\"Batch size for chunking\")\n\n\nclass ManageTenantModelUpdateRequest(BaseModel):\n    \"\"\"Request model for updating a model in a specific tenant (admin/manage operation)\"\"\"\n    tenant_id: str = Field(..., min_length=1, description=\"Target tenant ID to update model for\")\n    current_display_name: str = Field(..., description=\"Current display name of the model to update\")\n    model_repo: Optional[str] = Field(None, description=\"Model repository path\")\n    model_name: Optional[str] = Field(None, description=\"Model name\")\n    model_type: Optional[str] = Field(None, description=\"Model type\")\n    api_key: Optional[str] = Field(None, description=\"API key for the model\")\n    base_url: Optional[str] = Field(None, description=\"Base URL for the model API\")\n    max_tokens: Optional[int] = Field(None, description=\"Maximum tokens for the model\")\n    display_name: Optional[str] = Field(None, description=\"New display name for the model\")\n    expected_chunk_size: Optional[int] = Field(None, description=\"Expected chunk size for embedding models\")\n    maximum_chunk_size: Optional[int] = Field(None, description=\"Maximum chunk size for embedding models\")\n    chunk_batch: Optional[int] = Field(None, description=\"Batch size for chunking\")\n\n\nclass ManageTenantModelDeleteRequest(BaseModel):\n    \"\"\"Request model for deleting a model from a specific tenant (admin/manage operation)\"\"\"\n    tenant_id: str = Field(..., min_length=1, description=\"Target tenant ID to delete model from\")\n    display_name: str = Field(..., description=\"Display name of the model to delete\")\n\n\nclass ManageTenantModelHealthcheckRequest(BaseModel):\n    \"\"\"Request model for checking model connectivity in a specific tenant (admin/manage operation)\"\"\"\n    tenant_id: str = Field(..., min_length=1, description=\"Target tenant ID to check model connectivity\")\n    display_name: str = Field(..., description=\"Display name of the model to check\")\n\n\nclass ManageBatchCreateModelsRequest(BaseModel):\n    \"\"\"Request model for batch creating/updating models in a specific tenant (admin/manage operation)\"\"\"\n    tenant_id: str = Field(..., min_length=1, description=\"Target tenant ID to batch create models for\")\n    provider: str = Field(..., description=\"Model provider (e.g., 'silicon', 'modelengine')\")\n    type: str = Field(..., description=\"Model type (e.g., 'llm', 'embedding')\")\n    api_key: str = Field('', description=\"API key for the models\")\n    models: List[Dict[str, Any]] = Field(default_factory=list, description=\"List of models to create/update\")\n\n\nclass ManageProviderModelListRequest(BaseModel):\n    \"\"\"Request model for listing provider models in a specific tenant (admin/manage operation)\"\"\"\n    tenant_id: str = Field(..., min_length=1, description=\"Target tenant ID to query provider models for\")\n    provider: str = Field(..., description=\"Model provider (e.g., 'silicon', 'modelengine')\")\n    model_type: str = Field(..., description=\"Model type (e.g., 'llm', 'embedding')\")\n\n\nclass ManageProviderModelCreateRequest(BaseModel):\n    \"\"\"Request model for creating provider models in a specific tenant (admin/manage operation)\"\"\"\n    tenant_id: str = Field(..., min_length=1, description=\"Target tenant ID to create provider models for\")\n    provider: str = Field(..., description=\"Model provider (e.g., 'silicon', 'modelengine')\")\n    model_type: str = Field(..., description=\"Model type (e.g., 'llm', 'embedding')\")\n    api_key: Optional[str] = Field('', description=\"API key for the provider\")\n    base_url: Optional[str] = Field('', description=\"Base URL for the provider API\")\n\n\n# Agent Version Management Data Models\n# ---------------------------------------------------------------------------\nclass VersionPublishRequest(BaseModel):\n    \"\"\"Request model for publishing a new version\"\"\"\n    version_name: Optional[str] = Field(None, description=\"User-defined version name for display\")\n    release_note: Optional[str] = Field(None, description=\"Release notes / publish remarks\")\n\n\nclass VersionListItemResponse(BaseModel):\n    \"\"\"Response model for version list item\"\"\"\n    id: int = Field(..., description=\"Version record ID\")\n    version_no: int = Field(..., description=\"Version number\")\n    version_name: Optional[str] = Field(None, description=\"User-defined version name\")\n    release_note: Optional[str] = Field(None, description=\"Release notes\")\n    source_version_no: Optional[int] = Field(None, description=\"Source version number if rollback\")\n    source_type: Optional[str] = Field(None, description=\"Source type: NORMAL / ROLLBACK\")\n    status: str = Field(..., description=\"Version status: RELEASED / DISABLED / ARCHIVED\")\n    created_by: str = Field(..., description=\"User who published this version\")\n    create_time: Optional[str] = Field(None, description=\"Publish timestamp\")\n\n\nclass VersionListResponse(BaseModel):\n    \"\"\"Response model for version list\"\"\"\n    items: List[VersionListItemResponse] = Field(..., description=\"Version list items\")\n    total: int = Field(..., description=\"Total count\")\n\n\nclass VersionDetailResponse(BaseModel):\n    \"\"\"Response model for version detail including snapshot data\"\"\"\n    id: int = Field(..., description=\"Version record ID\")\n    version_no: int = Field(..., description=\"Version number\")\n    version_name: Optional[str] = Field(None, description=\"User-defined version name\")\n    release_note: Optional[str] = Field(None, description=\"Release notes\")\n    source_version_no: Optional[int] = Field(None, description=\"Source version number\")\n    source_type: Optional[str] = Field(None, description=\"Source type\")\n    status: str = Field(..., description=\"Version status\")\n    created_by: str = Field(..., description=\"User who published this version\")\n    create_time: Optional[str] = Field(None, description=\"Publish timestamp\")\n    agent_info: Optional[dict] = Field(None, description=\"Agent info snapshot\")\n    tool_instances: List[dict] = Field(default_factory=list, description=\"Tool instance snapshots\")\n    relations: List[dict] = Field(default_factory=list, description=\"Relation snapshots\")\n\n\nclass VersionRollbackRequest(BaseModel):\n    \"\"\"Request model for rollback to a specific version\"\"\"\n    version_name: Optional[str] = Field(None, description=\"New version name for the rollback version\")\n    release_note: Optional[str] = Field(None, description=\"Release notes for the rollback version\")\n\n\nclass VersionStatusRequest(BaseModel):\n    \"\"\"Request model for updating version status\"\"\"\n    status: str = Field(..., description=\"New status: DISABLED / ARCHIVED\")\n\n\nclass VersionUpdateRequest(BaseModel):\n    \"\"\"Request model for updating version metadata (name and description)\"\"\"\n    version_name: Optional[str] = Field(None, description=\"User-defined version name for display\")\n    release_note: Optional[str] = Field(None, description=\"Release notes / version description\")\n\n\nclass VersionCompareRequest(BaseModel):\n    \"\"\"Request model for comparing two versions\"\"\"\n    version_no_a: int = Field(..., description=\"First version number for comparison\")\n    version_no_b: int = Field(..., description=\"Second version number for comparison\")\n\n\nclass CurrentVersionResponse(BaseModel):\n    \"\"\"Response model for current published version\"\"\"\n    version_no: int = Field(..., description=\"Current published version number\")\n    version_name: Optional[str] = Field(None, description=\"Version name\")\n    status: str = Field(..., description=\"Version status\")\n    source_type: Optional[str] = Field(None, description=\"Source type\")\n    source_version_no: Optional[int] = Field(None, description=\"Source version number\")\n    release_note: Optional[str] = Field(None, description=\"Release notes\")\n    created_by: str = Field(..., description=\"User who published this version\")\n    create_time: Optional[str] = Field(None, description=\"Publish timestamp\")\n"
  },
  {
    "path": "backend/consts/provider.py",
    "content": "from enum import Enum\n\n\nclass ProviderEnum(str, Enum):\n    \"\"\"Supported model providers\"\"\"\n    SILICON = \"silicon\"\n    OPENAI = \"openai\"\n    MODELENGINE = \"modelengine\"\n    DASHSCOPE = \"dashscope\"\n    TOKENPONY = \"tokenpony\"\n\n\n# Silicon Flow\nSILICON_BASE_URL = \"https://api.siliconflow.cn/v1/\"\nSILICON_GET_URL = \"https://api.siliconflow.cn/v1/models\"\n\n# Dashcope\nDASHSCOPE_BASE_URL = \"https://dashscope.aliyuncs.com/compatible-mode/v1/\"\nDASHSCOPE_GET_URL = \"https://dashscope.aliyuncs.com/api/v1/models\"\n\n# TokenPony\nTOKENPONY_BASE_URL = \"https://api.tokenpony.cn/v1/\"\nTOKENPONY_GET_URL = \"https://api.tokenpony.cn/v1/models\"\n\n# ModelEngine\n# Base URL and API key are loaded from environment variables at runtime\n"
  },
  {
    "path": "backend/data_process/__init__.py",
    "content": "\"\"\"\nCelery application for Nexent data processing tasks\n\nThis module provides Celery-based task management for data processing \nand vectorization, replacing the custom task management in the SDK.\n\"\"\"\n\nfrom .app import app\nfrom .tasks import process, forward, process_and_forward, process_sync\nfrom .utils import get_task_info, get_task_details\n\n__all__ = [\n    'app',\n    'process',\n    'forward',\n    'process_and_forward',\n    'process_sync',\n    'get_task_info',\n    'get_task_details'\n] "
  },
  {
    "path": "backend/data_process/app.py",
    "content": "\"\"\"\nCelery application configuration for data processing tasks\n\"\"\"\nimport logging\n\nfrom celery import Celery\nfrom celery.backends.base import DisabledBackend\n\nfrom consts.const import ELASTICSEARCH_SERVICE, REDIS_BACKEND_URL, REDIS_URL\n\n# Configure logging\nlogger = logging.getLogger(\"data_process.app\")\n\n# Determine package path dynamically\nimport_path = 'data_process.tasks'\nlogger.debug(f\"Using import path: {import_path}\")\n\nif not REDIS_URL or not REDIS_BACKEND_URL:\n    raise ValueError(\n        \"FATAL: REDIS_URL or REDIS_BACKEND_URL is not configured. Please check the environment variables in this container.\")\n\nlogger.debug(f\"Broker URL from config: {REDIS_URL}\")\nlogger.debug(f\"Backend URL from config: {REDIS_BACKEND_URL}\")\n\n# Create Celery app instance\napp = Celery(\n    'nexent',\n    broker=REDIS_URL,\n    backend=REDIS_BACKEND_URL,\n    elasticsearch_service=ELASTICSEARCH_SERVICE,\n    include=[import_path]\n)\n\n# Critical check: If backend is still DisabledBackend, it means configuration failed, crash immediately\nif isinstance(app.backend, DisabledBackend):\n    raise RuntimeError(\n        \"Celery result backend is disabled! \"\n        \"This likely means REDIS_URL or REDIS_BACKEND_URL was not available during Celery app instantiation. \"\n        \"Check your environment variables in this container.\"\n    )\n\n# Configure Celery settings\napp.conf.update(\n    # Explicitly set result backend\n    broker_url=REDIS_URL,\n    result_backend=REDIS_BACKEND_URL,\n    # Two task queues for processing and forward steps\n    task_routes={\n        f'{import_path}.process': {'queue': 'process_q'},\n        f'{import_path}.forward': {'queue': 'forward_q'},\n        f'{import_path}.process_and_forward': {'queue': 'process_q'}\n    },\n    task_serializer='json',\n    accept_content=['json'],\n    result_serializer='json',\n    enable_utc=True,\n    # Result backend settings\n    task_ignore_result=False,  # Task results must be stored for chains to work\n    task_track_started=True,   # Track when tasks start\n    task_store_eager_result=True,  # Store results for eager tasks\n    result_backend_always_retry=True,  # Always retry backend operations\n    result_backend_max_retries=10,  # Max retries for backend operations\n    task_time_limit=3600,      # 1 hour time limit per task\n    worker_prefetch_multiplier=1,  # Fair scheduling; avoid batchy prefetch\n    worker_max_tasks_per_child=1000,  # Reduce restart frequency\n    # Important for task chains\n    task_acks_late=True,       # Tasks are acknowledged after completion\n    task_reject_on_worker_lost=True,  # Tasks are rejected if worker is lost\n    # Result storage settings\n    result_expires=None,       # Results never expire\n    result_persistent=True,    # Persist results to backend\n    # Monitoring and task events for Flower\n    task_send_sent_event=True,  # Send task-sent events\n    worker_send_task_events=True,  # Enable task events from workers\n    worker_hijack_root_logger=False,  # Don't hijack logging\n    # Redis-specific settings for result backend\n    result_backend_transport_options={\n        'retry_policy': {\n            'timeout': 5.0\n        }\n    },\n\n    # Add broker connection configuration\n    broker_connection_retry=True,\n    broker_connection_retry_on_startup=True,\n    broker_connection_max_retries=10,\n    broker_heartbeat=30,  # Heartbeat check\n    broker_pool_limit=10,  # Connection pool size\n\n    # Add transport options\n    broker_transport_options={\n        'visibility_timeout': 3600,\n        'max_retries': 5,\n        'interval_start': 0,\n        'interval_step': 0.2,\n        'interval_max': 0.5,\n        'master_name': 'mymaster',  # If using Redis Sentinel\n    }\n)\n"
  },
  {
    "path": "backend/data_process/ray_actors.py",
    "content": "import logging\nimport json\nfrom typing import Any, Dict, List, Optional\n\nimport ray\n\nfrom consts.const import RAY_ACTOR_NUM_CPUS, REDIS_BACKEND_URL, DEFAULT_EXPECTED_CHUNK_SIZE, DEFAULT_MAXIMUM_CHUNK_SIZE\nfrom database.attachment_db import get_file_stream\nfrom database.model_management_db import get_model_by_model_id\nfrom nexent.data_process import DataProcessCore\n\nlogger = logging.getLogger(\"data_process.ray_actors\")\n# This now controls the number of CPUs requested by each DataProcessorRayActor instance.\n# It allows a single file processing task to potentially use more than one core if the\n# underlying processing library (e.g., unstructured) can leverage it.\n\n\n@ray.remote(num_cpus=RAY_ACTOR_NUM_CPUS)\nclass DataProcessorRayActor:\n    \"\"\"\n    Ray actor for handling data processing tasks.\n    Encapsulates the DataProcessCore to be used in a Ray cluster.\n    \"\"\"\n\n    def __init__(self):\n        logger.info(\n            f\"Ray actor initialized using {RAY_ACTOR_NUM_CPUS} CPU cores...\")\n        self._processor = DataProcessCore()\n\n    def process_file(\n        self,\n        source: str,\n        chunking_strategy: str,\n        destination: str,\n        task_id: Optional[str] = None,\n        model_id: Optional[int] = None,\n        tenant_id: Optional[str] = None,\n        **params\n    ) -> List[Dict[str, Any]]:\n        \"\"\"\n        Process a file, auto-detecting its type using DataProcessCore.file_process.\n\n        Args:\n            source (str): The file path or URL.\n            chunking_strategy (str): The strategy for chunking the file.\n            destination (str): The source type of the file, e.g., 'local', 'minio'.\n            task_id (str, optional): The task ID for processing. Defaults to None.\n            model_id (int, optional): The embedding model ID for retrieving chunk size parameters. Defaults to None.\n            tenant_id (str, optional): The tenant ID for retrieving model configuration. Defaults to None.\n            **params: Additional parameters for the processing task.\n\n        Returns:\n            List[Dict[str, Any]]: A list of dictionaries representing the processed chunks.\n        \"\"\"\n        logger.info(\n            f\"[RayActor] Processing start: source='{source}', destination='{destination}', strategy='{chunking_strategy}', task_id='{task_id}', model_id='{model_id}'\")\n\n        if task_id:\n            params['task_id'] = task_id\n\n        # Get chunk size parameters from embedding model if model_id is provided\n        if model_id and tenant_id:\n            try:\n                # Get embedding model details directly by model_id\n                model_record = get_model_by_model_id(\n                    model_id=model_id, tenant_id=tenant_id)\n                if model_record:\n                    expected_chunk_size = model_record.get(\n                        'expected_chunk_size', DEFAULT_EXPECTED_CHUNK_SIZE)\n                    maximum_chunk_size = model_record.get(\n                        'maximum_chunk_size', DEFAULT_MAXIMUM_CHUNK_SIZE)\n                    model_name = model_record.get('display_name')\n\n                    # Pass chunk sizes to processing parameters\n                    params['max_characters'] = maximum_chunk_size\n                    params['new_after_n_chars'] = expected_chunk_size\n\n                    logger.info(\n                        f\"[RayActor] Using chunk sizes from embedding model '{model_name}' (ID: {model_id}): \"\n                        f\"max_characters={maximum_chunk_size}, new_after_n_chars={expected_chunk_size}\")\n                else:\n                    logger.warning(\n                        f\"[RayActor] Embedding model with ID {model_id} not found for tenant '{tenant_id}', using default chunk sizes\")\n            except Exception as e:\n                logger.warning(\n                    f\"[RayActor] Failed to retrieve chunk sizes from embedding model ID {model_id}: {e}. Using default chunk sizes\")\n\n        try:\n            file_stream = get_file_stream(source)\n            if file_stream is None:\n                raise FileNotFoundError(\n                    f\"Unable to fetch file from URL: {source}\")\n            file_data = file_stream.read()\n        except Exception as e:\n            logger.error(f\"Failed to fetch file from {source}: {e}\")\n            raise\n\n        chunks = self._processor.file_process(\n            file_data=file_data,\n            filename=source,\n            chunking_strategy=chunking_strategy,\n            **params\n        )\n\n        if chunks is None:\n            logger.warning(\n                f\"[RayActor] file_process returned None for source='{source}'\")\n            return []\n        if not isinstance(chunks, list):\n            logger.error(\n                f\"[RayActor] file_process returned non-list type {type(chunks)} for source='{source}'\")\n            return []\n        if len(chunks) == 0:\n            logger.warning(\n                f\"[RayActor] file_process returned empty list for source='{source}'\")\n            return []\n\n        logger.info(\n            f\"[RayActor] Processing done: produced {len(chunks)} chunks for source='{source}'\")\n        return chunks\n\n    def store_chunks_in_redis(self, redis_key: str, chunks: List[Dict[str, Any]]) -> bool:\n        \"\"\"\n        Store processed chunks into Redis under a given key.\n\n        This is used to decouple Celery task execution from Ray processing, allowing\n        Celery to submit work and return immediately while Ray persists results for\n        a subsequent step to retrieve.\n        \"\"\"\n        if not REDIS_BACKEND_URL:\n            logger.error(\n                \"REDIS_BACKEND_URL is not configured; cannot store chunks.\")\n            return False\n        try:\n            import redis\n            client = redis.Redis.from_url(\n                REDIS_BACKEND_URL, decode_responses=True)\n            # Use a compact JSON for storage\n            if chunks is None:\n                logger.error(\n                    f\"[RayActor] store_chunks_in_redis received None chunks for key '{redis_key}'\")\n                serialized = json.dumps([])\n            else:\n                try:\n                    serialized = json.dumps(chunks, ensure_ascii=False)\n                except Exception as ser_exc:\n                    logger.error(\n                        f\"[RayActor] JSON serialization failed for key '{redis_key}': {ser_exc}\")\n                    # Fallback to empty list to avoid poisoning Redis with invalid data\n                    serialized = json.dumps([])\n            client.set(redis_key, serialized)\n            # Optionally set an expiration to avoid leaks (e.g., 2 hours)\n            client.expire(redis_key, 2 * 60 * 60)\n            try:\n                count_logged = len(chunks) if isinstance(chunks, list) else 0\n            except Exception:\n                count_logged = 0\n            logger.info(\n                f\"[RayActor] Stored {count_logged} chunks in Redis at key '{redis_key}', value_len={len(serialized)}\")\n            return True\n        except Exception as exc:\n            logger.error(\n                f\"Failed to store chunks in Redis at key {redis_key}: {exc}\")\n            return False\n"
  },
  {
    "path": "backend/data_process/ray_config.py",
    "content": "\"\"\"\nRay configuration management module\n\"\"\"\n\nimport logging\nimport os\nfrom typing import Any, Dict, Optional\n\nimport ray\n\nfrom consts.const import (\n    RAY_OBJECT_STORE_MEMORY_GB,\n    RAY_TEMP_DIR,\n    RAY_preallocate_plasma,\n)\n\nlogger = logging.getLogger(\"data_process.ray_config\")\n\n# Forward declaration variable so runtime references succeed before instantiation\nray_config: Optional[\"RayConfig\"] = None\n\n\nclass RayConfig:\n    \"\"\"Ray configuration manager\"\"\"\n\n    def __init__(self):\n        self.object_store_memory_gb = RAY_OBJECT_STORE_MEMORY_GB\n        self.temp_dir = RAY_TEMP_DIR\n        self.preallocate_plasma = RAY_preallocate_plasma\n\n    def get_init_params(\n            self,\n            address: Optional[str] = None,\n            num_cpus: Optional[int] = None,\n            include_dashboard: bool = False,\n            dashboard_host: str = \"0.0.0.0\",\n            dashboard_port: int = 8265\n    ) -> Dict[str, Any]:\n        \"\"\"\n        Get Ray initialization parameters\n\n        Args:\n            address: Ray cluster address, None means start local cluster\n            num_cpus: Number of CPU cores\n            include_dashboard: Whether to include dashboard\n            dashboard_host: Dashboard host address\n            dashboard_port: Dashboard port\n\n        Returns:\n            Ray initialization parameters dictionary\n        \"\"\"\n        params = {\n            \"ignore_reinit_error\": True,\n        }\n\n        if address:\n            params[\"address\"] = address\n        else:\n            # Local cluster configuration\n            if num_cpus:\n                params[\"num_cpus\"] = num_cpus\n\n            # Object store memory configuration (convert to bytes)\n            object_store_memory = int(\n                self.object_store_memory_gb * 1024 * 1024 * 1024)\n            params[\"object_store_memory\"] = object_store_memory\n\n            # Temp directory configuration\n            params[\"_temp_dir\"] = self.temp_dir\n\n            # Object spilling directory (stable API)\n            # This allows Ray to spill objects to disk when memory is full\n            params[\"object_spilling_directory\"] = self.temp_dir\n\n            # Dashboard configuration\n            # Always pass include_dashboard explicitly because Ray's default is True.\n            # If we omit this parameter when include_dashboard is False,\n            # Ray will still start the dashboard by default.\n            params[\"include_dashboard\"] = include_dashboard\n            if include_dashboard:\n                params[\"dashboard_host\"] = dashboard_host\n                params[\"dashboard_port\"] = dashboard_port\n\n        return params\n\n    def init_ray(self, **kwargs) -> bool:\n        \"\"\"\n        Initialize Ray\n\n        Args:\n            **kwargs: Parameters passed to get_init_params\n\n        Returns:\n            Whether initialization is successful\n        \"\"\"\n        try:\n            if ray.is_initialized():\n                logger.info(\"Ray already initialized, skipping...\")\n                return True\n\n            # Set RAY_preallocate_plasma environment variable before initialization\n            # Ray reads this environment variable during initialization\n            os.environ[\"RAY_preallocate_plasma\"] = str(\n                self.preallocate_plasma).lower()\n\n            params = self.get_init_params(**kwargs)\n\n            # Log the attempt to initialize\n            logger.info(\"Initializing Ray cluster...\")\n            logger.info(\"Ray memory optimization configuration:\")\n            logger.info(\n                f\"  RAY_preallocate_plasma: {self.preallocate_plasma}\")\n            logger.info(\n                f\"  Object store memory: {self.object_store_memory_gb} GB\")\n            for key, value in params.items():\n                if key.startswith('_'):\n                    logger.debug(f\"  {key}: {value}\")\n                elif key == 'object_store_memory':\n                    logger.info(f\"  {key}: {value / (1024 ** 3):.2f} GB\")\n                elif key == 'object_spilling_directory':\n                    logger.info(f\"  {key}: {value}\")\n                else:\n                    logger.debug(f\"  {key}: {value}\")\n\n            ray.init(**params)\n            logger.info(\"✅ Ray initialization successful\")\n\n            # Display cluster information and verify memory configuration\n            try:\n                if hasattr(ray, 'cluster_resources'):\n                    resources = ray.cluster_resources()\n                    logger.info(f\"Ray cluster resources: {resources}\")\n\n                    # Log memory-related resources\n                    if 'memory' in resources:\n                        logger.info(\n                            f\"  Total cluster memory: {resources['memory'] / (1024**3):.2f} GB\")\n                    if 'object_store_memory' in resources:\n                        logger.info(\n                            f\"  Object store memory: {resources['object_store_memory'] / (1024**3):.2f} GB\")\n            except Exception as e:\n                logger.warning(\n                    f\"Could not retrieve cluster resources information: {e}\")\n\n            return True\n\n        except Exception as e:\n            logger.error(f\"❌ Ray initialization failed: {str(e)}\")\n            return False\n\n    def connect_to_cluster(self, address: str = \"auto\") -> bool:\n        \"\"\"\n        Connect to existing Ray cluster\n\n        Args:\n            address: Cluster address, 'auto' means auto-discovery\n\n        Returns:\n            Whether connection is successful\n        \"\"\"\n        try:\n            if ray.is_initialized():\n                logger.debug(\"Ray already initialized, skipping...\")\n                return True\n\n            # Set RAY_preallocate_plasma environment variable before initialization\n            # Note: When connecting to existing cluster, this setting may not take effect\n            # as the cluster was already initialized with its own settings\n            os.environ[\"RAY_preallocate_plasma\"] = str(\n                self.preallocate_plasma).lower()\n\n            params = self.get_init_params(address=address)\n\n            logger.debug(f\"Connecting to Ray cluster: {address}\")\n            logger.debug(\n                f\"  RAY_preallocate_plasma: {self.preallocate_plasma}\")\n            ray.init(**params)\n            logger.info(\"✅ Successfully connected to Ray cluster\")\n\n            return True\n\n        except Exception as e:\n            logger.info(f\"Cannot connect to Ray cluster: {str(e)}\")\n            return False\n\n    def start_local_cluster(\n            self,\n            num_cpus: Optional[int] = None,\n            include_dashboard: bool = True,\n            dashboard_port: int = 8265\n    ) -> bool:\n        \"\"\"\n        Start local Ray cluster\n\n        Args:\n            num_cpus: Number of CPU cores, None means using all available cores\n            include_dashboard: Whether to start dashboard\n            dashboard_port: Dashboard port\n\n        Returns:\n            Whether initialization is successful\n        \"\"\"\n        if num_cpus is None:\n            num_cpus = os.cpu_count()\n\n        return self.init_ray(\n            num_cpus=num_cpus,\n            include_dashboard=include_dashboard,\n            dashboard_port=dashboard_port\n        )\n\n    def log_configuration(self):\n        \"\"\"Log current configuration information\"\"\"\n        logger.debug(\"Ray Configuration:\")\n        logger.debug(f\"  ObjectStore memory: {self.object_store_memory_gb} GB\")\n        logger.debug(f\"  Temp directory: {self.temp_dir}\")\n        logger.debug(f\"  Preallocate plasma: {self.preallocate_plasma}\")\n\n    @classmethod\n    def init_ray_for_worker(cls, address: str = \"auto\") -> bool:\n        \"\"\"Initialize Ray connection for Celery Worker (class method wrapper).\"\"\"\n        logger.info(\"Initialize Ray connection for Celery Worker...\")\n        ray_config.log_configuration()\n        return ray_config.connect_to_cluster(address)\n\n    @classmethod\n    def init_ray_for_service(\n            cls,\n            num_cpus: Optional[int] = None,\n            dashboard_port: int = 8265,\n            try_connect_first: bool = True,\n            include_dashboard: bool = True\n    ) -> bool:\n        \"\"\"Initialize Ray for data processing service (class method wrapper).\"\"\"\n        ray_config.log_configuration()\n\n        if try_connect_first:\n            # Try to connect to existing cluster first\n            logger.debug(\"Trying to connect to existing Ray cluster...\")\n            if ray_config.connect_to_cluster(\"auto\"):\n                return True\n            logger.info(\"Starting local cluster...\")\n\n        # Start local cluster\n        return ray_config.start_local_cluster(\n            num_cpus=num_cpus,\n            include_dashboard=include_dashboard,\n            dashboard_port=dashboard_port\n        )\n\n\n# Create a global RayConfig instance accessible throughout the module\nray_config = RayConfig()\n"
  },
  {
    "path": "backend/data_process/tasks.py",
    "content": "\"\"\"\nCelery tasks for data processing and vector storage\n\"\"\"\nimport asyncio\nimport json\nimport logging\nimport os\nimport threading\nimport time\nfrom typing import Any, Dict, Optional\n\nimport aiohttp\nimport re\nimport ray\nfrom celery import Task, chain, states\nfrom celery.exceptions import Retry\n\nfrom consts.const import ELASTICSEARCH_SERVICE\nfrom utils.file_management_utils import get_file_size\nfrom services.redis_service import get_redis_service\nfrom .app import app\nfrom .ray_actors import DataProcessorRayActor\nfrom consts.const import (\n    REDIS_BACKEND_URL,\n    FORWARD_REDIS_RETRY_DELAY_S,\n    FORWARD_REDIS_RETRY_MAX,\n    DISABLE_RAY_DASHBOARD,\n    ROOT_DIR,\n)\n\n\nlogger = logging.getLogger(\"data_process.tasks\")\n\n# Thread lock for initializing Ray to prevent race conditions\nray_init_lock = threading.Lock()\n\nROOT_DIR_DISPLAY = ROOT_DIR or \"{ROOT_DIR}\"\n\n\ndef extract_error_code(reason: str, parsed_error: Optional[Dict] = None) -> Optional[str]:\n    \"\"\"\n    Extract error code from error message or parsed error dict.\n    Returns error code if matched, None otherwise.\n    \"\"\"\n    # 1) parsed_error dict\n    if parsed_error and isinstance(parsed_error, dict):\n        code = parsed_error.get(\"error_code\")\n        if code:\n            return code\n\n    # 2) try parse reason as JSON\n    try:\n        parsed = json.loads(reason)\n        if isinstance(parsed, dict):\n            code = parsed.get(\"error_code\")\n            if code:\n                return code\n            detail = parsed.get(\"detail\")\n            if isinstance(detail, dict) and detail.get(\"error_code\"):\n                return detail.get(\"error_code\")\n    except Exception:\n        pass\n\n    # 3) regex from raw string (supports single/double quotes)\n    try:\n        match = re.search(\n            r'[\"\\']error_code[\"\\']\\s*:\\s*[\"\\']([^\"\\']+)[\"\\']', reason)\n        if match:\n            return match.group(1)\n    except Exception:\n        pass\n\n    return \"unknown_error\"\n\n\ndef save_error_to_redis(task_id: str, error_reason: str, start_time: float):\n    \"\"\"\n    Save error information to Redis\n\n    Args:\n        task_id: Celery task ID\n        error_reason: Short error reason summary\n        start_time: Task start timestamp (unused, kept for compatibility)\n    \"\"\"\n    if not task_id:\n        logger.warning(\"Cannot save error info: task_id is empty\")\n        return\n    if not error_reason:\n        logger.warning(\n            f\"Cannot save error info for task {task_id}: error_reason is empty\")\n        return\n    try:\n        redis_service = get_redis_service()\n        success = redis_service.save_error_info(task_id, error_reason)\n        if success:\n            logger.info(\n                f\"Successfully saved error info for task {task_id}: {error_reason[:100]}...\")\n        else:\n            logger.warning(\n                f\"Failed to save error info for task {task_id}: save_error_info returned False\")\n    except Exception as e:\n        logger.error(\n            f\"Failed to save error info to Redis for task {task_id}: {str(e)}\", exc_info=True)\n\n\ndef init_ray_in_worker():\n    \"\"\"\n    Initializes Ray within a Celery worker, ensuring it is done only once.\n    This function is designed to be called from within a task.\n    \"\"\"\n    if ray.is_initialized():\n        logger.debug(\"Ray is already initialized.\")\n        return\n\n    logger.info(\"Ray not initialized. Initializing Ray for Celery worker...\")\n    try:\n        # `configure_logging=False` prevents Ray from setting up its own loggers,\n        # which can interfere with Celery's logging.\n        # `faulthandler=False` is critical to prevent the\n        # `AttributeError: 'LoggingProxy' object has no attribute 'fileno'`\n        # error when running inside a Celery worker.\n        # We also explicitly control the Ray dashboard behavior here to ensure\n        # that Celery workers respect the global DISABLE_RAY_DASHBOARD setting.\n        ray.init(\n            configure_logging=False,\n            faulthandler=False,\n            include_dashboard=not DISABLE_RAY_DASHBOARD,\n        )\n        logger.info(\"Ray initialized successfully for Celery worker.\")\n    except Exception as e:\n        logger.error(f\"Failed to initialize Ray for Celery worker: {e}\")\n        raise RuntimeError(\"Failed to initialize Ray for Celery worker\") from e\n\n\ndef run_async(coro):\n    \"\"\"\n    Safely run async coroutine in Celery task context\n    Handles existing event loops and avoids conflicts\n    \"\"\"\n    try:\n        # Check if we're already in an async context\n        try:\n            loop = asyncio.get_running_loop()\n        except RuntimeError:\n            # No running loop, safe to use asyncio.run\n            return asyncio.run(coro)\n\n        # We're in an existing event loop context\n        if loop.is_running():\n            # Try to use nest_asyncio for compatibility\n            try:\n                import nest_asyncio\n                nest_asyncio.apply()\n                return loop.run_until_complete(coro)\n            except ImportError:\n                logger.warning(\n                    \"nest_asyncio not available, creating new thread for async operation\")\n                # Fallback: run in a new thread\n                import concurrent.futures\n\n                def run_in_thread():\n                    new_loop = asyncio.new_event_loop()\n                    asyncio.set_event_loop(new_loop)\n                    try:\n                        return new_loop.run_until_complete(coro)\n                    finally:\n                        new_loop.close()\n                        asyncio.set_event_loop(None)\n\n                with concurrent.futures.ThreadPoolExecutor() as executor:\n                    future = executor.submit(run_in_thread)\n                    return future.result()\n        else:\n            # Loop exists but not running, safe to use run_until_complete\n            return loop.run_until_complete(coro)\n\n    except Exception as e:\n        logger.error(f\"Error running async coroutine: {str(e)}\")\n        raise\n\n\n# Initialize the data processing core LAZILY\n# This will be initialized on first task run by a worker process\ndef get_ray_actor() -> Any:\n    \"\"\"\n    Creates a new, anonymous DataProcessorRayActor instance for each call.\n    This allows for parallel execution of data processing tasks, with each\n    task running in its own actor.\n    \"\"\"\n    with ray_init_lock:\n        init_ray_in_worker()\n    actor = DataProcessorRayActor.remote()\n\n    logger.debug(\n        \"Successfully created a new DataProcessorRayActor for a task.\")\n    return actor\n\n\nclass LoggingTask(Task):\n    \"\"\"Base task class with enhanced logging\"\"\"\n\n    def on_success(self, retval, task_id, args, kwargs):\n        \"\"\"Log successful task completion\"\"\"\n        logger.debug(f\"Task {self.name}[{task_id}] completed successfully\")\n        return super().on_success(retval, task_id, args, kwargs)\n\n    def on_failure(self, exc, task_id, args, kwargs, einfo):\n        \"\"\"Log task failure with enhanced error handling\"\"\"\n        logger.error(f\"Task {self.name}[{task_id}] failed: {exc}\")\n        # Log exception details for debugging\n        if hasattr(exc, '__class__'):\n            exc_type = exc.__class__.__name__\n            exc_msg = str(exc)\n            logger.error(f\"Exception type: {exc_type}, message: {exc_msg}\")\n        # Let Celery handle the exception serialization automatically\n        return super().on_failure(exc, task_id, args, kwargs, einfo)\n\n    def on_retry(self, exc, task_id, args, kwargs, einfo):\n        \"\"\"Log task retry\"\"\"\n        logger.warning(f\"Task {self.name}[{task_id}] retrying: {exc}\")\n        return super().on_retry(exc, task_id, args, kwargs, einfo)\n\n\n@app.task(bind=True, base=LoggingTask, name='data_process.tasks.process', queue='process_q')\ndef process(\n        self,\n        source: str,\n        source_type: str,\n        chunking_strategy: str = \"basic\",\n        index_name: Optional[str] = None,\n        original_filename: Optional[str] = None,\n        embedding_model_id: Optional[int] = None,\n        tenant_id: Optional[str] = None,\n        **params\n) -> Dict:\n    \"\"\"\n    Process a file and extract text/chunks\n\n    Args:\n        source: Source file path, URL, or text content\n        source_type: Type of source (\"local\", \"minio\")\n        chunking_strategy: Strategy for chunking the document\n        index_name: Name of the index (for metadata)\n        original_filename: The original name of the file\n        embedding_model_id: Embedding model ID for chunk size configuration\n        tenant_id: Tenant ID for retrieving model configuration\n        **params: Additional parameters\n    \"\"\"\n    start_time = time.time()\n    task_id = self.request.id\n\n    logger.info(\n        f\"[{self.request.id}] PROCESS TASK: source_type: {source_type}\")\n\n    self.update_state(\n        state=states.STARTED,\n        meta={\n            'source': source,\n            'source_type': source_type,\n            'index_name': index_name,\n            'original_filename': original_filename,\n            'task_name': 'process',\n            'start_time': start_time,\n            'stage': 'extracting_text'\n        }\n    )\n    # Get the data processor instance\n    actor = get_ray_actor()\n\n    try:\n        # Process the file based on the source type\n        file_size_mb = 0\n        if source_type == \"local\":\n            # Check file existence and size for optimization\n            if not os.path.exists(source):\n                raise FileNotFoundError(f\"File does not exist: {source}\")\n\n            file_size = os.path.getsize(source)\n            file_size_mb = file_size / (1024 * 1024)\n\n            logger.info(\n                f\"[{self.request.id}] PROCESS TASK: File size: {file_size_mb:.2f}MB\")\n\n            # The unified actor call, mapping 'file' source_type to 'local' destination\n            # Submit Ray work and WAIT for processing to complete\n            logger.info(\n                f\"[{self.request.id}] PROCESS TASK: Submitting Ray processing for source='{source}', strategy='{chunking_strategy}', destination='{source_type}', model_id={embedding_model_id}\")\n            chunks_ref = actor.process_file.remote(\n                source,\n                chunking_strategy,\n                destination=source_type,\n                task_id=task_id,\n                model_id=embedding_model_id,\n                tenant_id=tenant_id,\n                **params\n            )\n            # Wait for Ray processing to complete (this keeps task in STARTED/\"PROCESSING\" state)\n            logger.info(\n                f\"[{self.request.id}] PROCESS TASK: Waiting for Ray processing to complete...\")\n            chunks = ray.get(chunks_ref)\n            logger.info(\n                f\"[{self.request.id}] PROCESS TASK: Ray processing completed, got {len(chunks) if chunks else 0} chunks\")\n\n            # Persist chunks into Redis via Ray (synchronous to ensure data is ready before forward task)\n            redis_key = f\"dp:{task_id}:chunks\"\n            actor.store_chunks_in_redis.remote(redis_key, chunks)\n            logger.info(\n                f\"[{self.request.id}] PROCESS TASK: Stored chunks in Redis at key '{redis_key}'\")\n\n            end_time = time.time()\n            elapsed_time = end_time - start_time\n            processing_speed = file_size_mb / \\\n                elapsed_time if file_size_mb > 0 and elapsed_time > 0 else 0\n            logger.info(\n                f\"[{self.request.id}] PROCESS TASK: File processing completed. Processing speed {processing_speed:.2f} MB/s\")\n\n        elif source_type == \"minio\":\n            logger.info(\n                f\"[{self.request.id}] PROCESS TASK: Processing from URL: {source}\")\n\n            # For URL source, core.py expects a non-local destination to trigger URL fetching\n            logger.info(\n                f\"[{self.request.id}] PROCESS TASK: Submitting Ray processing for URL='{source}', strategy='{chunking_strategy}', destination='{source_type}', model_id={embedding_model_id}\")\n            chunks_ref = actor.process_file.remote(\n                source,\n                chunking_strategy,\n                destination=source_type,\n                task_id=task_id,\n                model_id=embedding_model_id,\n                tenant_id=tenant_id,\n                **params\n            )\n            # Wait for Ray processing to complete (this keeps task in STARTED/\"PROCESSING\" state)\n            logger.info(\n                f\"[{self.request.id}] PROCESS TASK: Waiting for Ray processing to complete...\")\n            chunks = ray.get(chunks_ref)\n            logger.info(\n                f\"[{self.request.id}] PROCESS TASK: Ray processing completed, got {len(chunks) if chunks else 0} chunks\")\n\n            # Persist chunks into Redis via Ray (synchronous to ensure data is ready before forward task)\n            redis_key = f\"dp:{task_id}:chunks\"\n            actor.store_chunks_in_redis.remote(redis_key, chunks)\n            logger.info(\n                f\"[{self.request.id}] PROCESS TASK: Stored chunks in Redis at key '{redis_key}'\")\n\n            end_time = time.time()\n            elapsed_time = end_time - start_time\n            logger.info(\n                f\"[{self.request.id}] PROCESS TASK: URL processing completed in {elapsed_time:.2f}s\")\n\n        else:\n            # For other source types, implement accordingly\n            raise NotImplementedError(\n                f\"Source type '{source_type}' not yet supported\")\n\n        chunk_count = len(chunks) if chunks else 0\n        if chunk_count == 0:\n            raise Exception(json.dumps({\n                \"message\": \"Ray processing completed but produced 0 chunks\",\n                \"index_name\": index_name,\n                \"task_name\": \"process\",\n                \"source\": source,\n                \"original_filename\": original_filename,\n                \"error_code\": \"no_valid_chunks\"\n            }, ensure_ascii=False))\n\n        # Update task state to SUCCESS after Ray processing completes\n        # This transitions from STARTED (PROCESSING) to SUCCESS (WAIT_FOR_FORWARDING)\n        self.update_state(\n            state=states.SUCCESS,\n            meta={\n                'chunks_count': len(chunks) if chunks else 0,\n                'processing_time': elapsed_time,\n                'source': source,\n                'index_name': index_name,\n                'original_filename': original_filename,\n                'task_name': 'process',\n                'stage': 'text_extracted',\n                'file_size_mb': file_size_mb,\n                'processing_speed_mb_s': file_size_mb / elapsed_time if file_size_mb > 0 and elapsed_time > 0 else 0\n            }\n        )\n\n        logger.info(\n            f\"[{self.request.id}] PROCESS TASK: Processing complete, waiting for forward task\")\n\n        # Prepare data for the next task in the chain; pass redis_key\n        returned_data = {\n            'redis_key': f\"dp:{task_id}:chunks\",\n            'chunks': None,\n            'source': source,\n            'index_name': index_name,\n            'original_filename': original_filename,\n            'task_id': task_id\n        }\n\n        return returned_data\n\n    except Exception as e:\n        logger.error(f\"Error processing file {source}: {str(e)}\")\n        # task_id is already defined at the start of the function\n        try:\n            # Try to parse the exception as JSON (it might be our custom JSON error)\n            error_message = str(e)\n            parsed_error = None\n\n            try:\n                parsed_error = json.loads(error_message)\n                if isinstance(parsed_error, dict):\n                    error_message = parsed_error.get(\"message\", error_message)\n                    logger.debug(\n                        f\"Parsed JSON error for task {task_id}\"\n                    )\n            except (json.JSONDecodeError, TypeError):\n                # Not a JSON string, use as-is\n                logger.debug(\n                    f\"Exception is not JSON format for task {task_id}, using raw message\"\n                )\n\n            # Build error_info for re-raising\n            error_info = {\n                \"message\": error_message,\n                \"index_name\": index_name,\n                \"task_name\": \"process\",\n                \"source\": source,\n                \"original_filename\": original_filename,\n            }\n\n            # Extract error code from parsed error or error message\n            error_code = extract_error_code(error_message, parsed_error)\n            if error_code:\n                error_info[\"error_code\"] = error_code\n\n            # Store only error code (if available) or raw error message\n            if error_code:\n                reason_to_store = json.dumps({\n                    \"error_code\": error_code\n                }, ensure_ascii=False)\n            else:\n                # Fallback: store raw error message (truncated if too long)\n                reason_to_store = error_message\n                if len(reason_to_store) > 200:\n                    reason_to_store = reason_to_store[:200] + \"...\"\n\n            # Save error info to Redis BEFORE re-raising\n            logger.info(\n                f\"Attempting to save error info for task {task_id} with reason: {reason_to_store[:100]}...\"\n            )\n            save_error_to_redis(task_id, reason_to_store, start_time)\n\n            self.update_state(\n                meta={\n                    \"source\": error_info.get(\"source\", \"\"),\n                    \"index_name\": error_info.get(\"index_name\", \"\"),\n                    \"task_name\": error_info.get(\"task_name\", \"\"),\n                    \"original_filename\": error_info.get(\n                        \"original_filename\", \"\"\n                    ),\n                    \"custom_error\": error_info.get(\"message\", str(e)),\n                    \"stage\": \"text_extraction_failed\",\n                }\n            )\n            raise Exception(json.dumps(error_info, ensure_ascii=False))\n        except Exception as ex:\n            logger.error(f\"Error serializing process exception: {str(ex)}\")\n            # Try to save error even if serialization fails\n            try:\n                error_message = str(e)\n                parsed_error = None\n\n                try:\n                    parsed_error = json.loads(error_message)\n                    if isinstance(parsed_error, dict):\n                        error_message = parsed_error.get(\n                            \"message\", error_message\n                        )\n                        logger.debug(\n                            \"Fallback serialization: parsed JSON error for task \"\n                            f\"{task_id}\"\n                        )\n                except (json.JSONDecodeError, TypeError):\n                    logger.debug(\n                        \"Fallback serialization: exception is not JSON format \"\n                        f\"for task {task_id}, using raw message\"\n                    )\n                    parsed_error = None\n\n                # Extract error code from parsed error or error message\n                error_code = extract_error_code(error_message, parsed_error)\n\n                # Store only error code (if available) or raw error message\n                if error_code:\n                    reason_to_store = json.dumps({\n                        \"error_code\": error_code\n                    }, ensure_ascii=False)\n                else:\n                    # Fallback: store raw error message (truncated if too long)\n                    reason_to_store = error_message\n                    if len(reason_to_store) > 200:\n                        reason_to_store = reason_to_store[:200] + \"...\"\n\n                save_error_to_redis(task_id, reason_to_store, start_time)\n            except Exception:\n                pass\n            self.update_state(\n                meta={\n                    \"custom_error\": str(e),\n                    \"stage\": \"text_extraction_failed\",\n                }\n            )\n            raise\n\n\n@app.task(bind=True, base=LoggingTask, name='data_process.tasks.forward', queue='forward_q')\ndef forward(\n        self,\n        processed_data: Dict,\n        index_name: str,\n        source: str,\n        source_type: str = 'minio',\n        original_filename: Optional[str] = None,\n        authorization: Optional[str] = None\n) -> Dict:\n    \"\"\"\n    Vectorize and store processed chunks in Elasticsearch\n\n    Args:\n        processed_data: Dict containing chunks and metadata\n        index_name: Name of the index to store documents\n        source: Original source path (for metadata)\n        source_type: The type of the source(\"local\", \"minio\")\n        original_filename: The original name of the file\n        authorization: Authorization header for API calls\n\n    Returns:\n        Dict containing storage results and metadata\n    \"\"\"\n    start_time = time.time()\n    task_id = self.request.id\n    original_source = source\n    original_index_name = index_name\n    filename = original_filename\n\n    try:\n        # Before doing any heavy work, check whether this task has been\n        # explicitly cancelled (for example, because the user deleted the\n        # document from the knowledge base configuration page).\n        try:\n            redis_service = get_redis_service()\n            if redis_service.is_task_cancelled(task_id):\n                logger.info(\n                    f\"[{self.request.id}] FORWARD TASK: Detected cancellation flag for task {task_id}; \"\n                    f\"skipping chunk forwarding for source '{source}' in index '{index_name}'.\"\n                )\n                # Treat this as a graceful early exit. We still return a\n                # structured payload so callers can consider the task done.\n                return {\n                    'task_id': task_id,\n                    'source': source,\n                    'index_name': index_name,\n                    'original_filename': original_filename,\n                    'chunks_stored': 0,\n                    'storage_time': 0,\n                    'es_result': {\n                        \"success\": False,\n                        \"message\": \"Indexing cancelled because document was deleted.\",\n                        \"total_indexed\": 0,\n                        \"total_submitted\": 0,\n                    },\n                }\n        except Exception as cancel_check_exc:\n            logger.warning(\n                f\"[{self.request.id}] FORWARD TASK: Failed to check cancellation flag for task {task_id}: \"\n                f\"{cancel_check_exc}\"\n            )\n\n        chunks = processed_data.get('chunks')\n        # If chunks are not in payload, try loading from Redis via the redis_key\n        if (not chunks) and processed_data.get('redis_key'):\n            redis_key = processed_data.get('redis_key')\n            if not REDIS_BACKEND_URL:\n                raise Exception(json.dumps({\n                    \"message\": \"REDIS_BACKEND_URL not configured to retrieve chunks\",\n                    \"index_name\": original_index_name,\n                    \"task_name\": \"forward\",\n                    \"source\": original_source,\n                    \"original_filename\": filename\n                }, ensure_ascii=False))\n            try:\n                import redis\n                client = redis.Redis.from_url(\n                    REDIS_BACKEND_URL, decode_responses=True)\n                cached = client.get(redis_key)\n                if cached:\n                    try:\n                        logger.debug(\n                            f\"[{self.request.id}] FORWARD TASK: Retrieved Redis key '{redis_key}', payload_length={len(cached)}\")\n                        chunks = json.loads(cached)\n                    except json.JSONDecodeError as jde:\n                        # Log raw prefix to help diagnose incorrect writes\n                        raw_preview = cached[:120] if isinstance(\n                            cached, str) else str(type(cached))\n                        logger.error(\n                            f\"[{self.request.id}] FORWARD TASK: JSON decode error for key '{redis_key}': {str(jde)}; raw_prefix={raw_preview!r}\")\n                        raise\n                else:\n                    # No busy-wait: release the worker slot and retry later\n                    retry_num = getattr(self.request, 'retries', 0)\n                    logger.info(\n                        f\"[{self.request.id}] FORWARD TASK: Chunks not yet available for key {redis_key}. Retry {retry_num + 1}/{FORWARD_REDIS_RETRY_MAX} in {FORWARD_REDIS_RETRY_DELAY_S}s\")\n                    raise self.retry(\n                        countdown=FORWARD_REDIS_RETRY_DELAY_S,\n                        max_retries=FORWARD_REDIS_RETRY_MAX,\n                        exc=Exception(json.dumps({\n                            \"message\": \"Chunks not ready in Redis; will retry\",\n                            \"index_name\": original_index_name,\n                            \"task_name\": \"forward\",\n                            \"source\": original_source,\n                            \"original_filename\": filename\n                        }, ensure_ascii=False))\n                    )\n            except Retry:\n                raise\n            except Exception as exc:\n                raise Exception(json.dumps({\n                    \"message\": f\"Failed to retrieve chunks from Redis: {str(exc)}\",\n                    \"index_name\": original_index_name,\n                    \"task_name\": \"forward\",\n                    \"source\": original_source,\n                    \"original_filename\": filename\n                }, ensure_ascii=False))\n        if processed_data.get('source'):\n            original_source = processed_data.get('source')\n        if processed_data.get('index_name'):\n            original_index_name = processed_data.get('index_name')\n        if processed_data.get('original_filename'):\n            filename = processed_data.get('original_filename')\n        logger.info(\n            f\"[{self.request.id}] FORWARD TASK: Received data for source '{original_source}' with {len(chunks) if chunks else 'None'} chunks\")\n\n        # Calculate total chunks for progress tracking\n        total_chunks = len(chunks) if chunks else 0\n\n        if chunks is None:\n            raise Exception(json.dumps({\n                \"message\": \"No chunks received for forwarding\",\n                \"index_name\": original_index_name,\n                \"task_name\": \"forward\",\n                \"source\": original_source,\n                \"original_filename\": original_filename\n            }, ensure_ascii=False))\n        if len(chunks) == 0:\n            logger.warning(\n                f\"[{self.request.id}] FORWARD TASK: Empty chunks list received for source {original_source}\")\n        formatted_chunks = []\n        for i, chunk in enumerate(chunks):\n            # Extract text and metadata\n            content = chunk.get(\"content\", \"\")\n            metadata = chunk.get(\"metadata\", {})\n\n            # Validate chunk content\n            if not content or len(content.strip()) == 0:\n                logger.warning(\n                    f\"[{self.request.id}] FORWARD TASK: Chunk {i+1} has empty text content, skipping\")\n                continue\n\n            file_size = get_file_size(source_type, original_source) if isinstance(\n                original_source, str) else 0\n\n            # Format as expected by the Elasticsearch API\n            formatted_chunk = {\n                \"metadata\": metadata,\n                \"filename\": filename or (os.path.basename(original_source) if original_source and isinstance(original_source, str) else \"\"),\n                \"path_or_url\": original_source,\n                \"content\": content,\n                \"process_source\": \"Unstructured\",\n                \"source_type\": source_type,\n                \"file_size\": file_size,\n                \"create_time\": metadata.get(\"creation_date\"),\n                \"date\": metadata.get(\"date\"),\n            }\n            formatted_chunks.append(formatted_chunk)\n\n        if len(formatted_chunks) == 0:\n            raise Exception(json.dumps({\n                \"message\": \"No valid chunks to forward after formatting\",\n                \"index_name\": original_index_name,\n                \"task_name\": \"forward\",\n                \"source\": original_source,\n                \"original_filename\": original_filename,\n                \"error_code\": \"no_valid_chunks\"\n            }, ensure_ascii=False))\n\n        async def index_documents():\n            elasticsearch_url = ELASTICSEARCH_SERVICE\n            if not elasticsearch_url:\n                raise Exception(json.dumps({\n                    \"message\": \"ELASTICSEARCH_SERVICE env is not set\",\n                    \"index_name\": original_index_name,\n                    \"task_name\": \"forward\",\n                    \"source\": original_source,\n                    \"original_filename\": original_filename\n                }, ensure_ascii=False))\n            route_url = f\"/indices/{original_index_name}/documents\"\n            full_url = elasticsearch_url + route_url\n            headers = {\"Content-Type\": \"application/json\"}\n            if authorization:\n                headers[\"Authorization\"] = authorization\n            # Add task_id header for progress tracking\n            headers[\"X-Task-Id\"] = task_id\n\n            try:\n                connector = aiohttp.TCPConnector(verify_ssl=False)\n                timeout = aiohttp.ClientTimeout(total=600)\n\n                async with aiohttp.ClientSession(connector=connector, timeout=timeout) as session:\n                    async with session.post(\n                        full_url,\n                        headers=headers,\n                        json=formatted_chunks,\n                        raise_for_status=False\n                    ) as response:\n                        text = await response.text()\n                        status = response.status\n                        # Try parse JSON body for structured error_code/message\n                        parsed_body = None\n                        try:\n                            parsed_body = json.loads(text)\n                        except Exception:\n                            parsed_body = None\n\n                        if status >= 400:\n                            error_code = None\n                            if isinstance(parsed_body, dict):\n                                error_code = parsed_body.get(\"error_code\")\n                                detail = parsed_body.get(\"detail\")\n                                if isinstance(detail, dict) and detail.get(\"error_code\"):\n                                    error_code = detail.get(\"error_code\")\n                                elif isinstance(detail, str):\n                                    try:\n                                        parsed_detail = json.loads(detail)\n                                        if isinstance(parsed_detail, dict):\n                                            error_code = parsed_detail.get(\n                                                \"error_code\", error_code)\n                                    except Exception:\n                                        pass\n\n                            if not error_code:\n                                try:\n                                    match = re.search(\n                                        r'[\"\\']error_code[\"\\']\\s*:\\s*[\"\\']([^\"\\']+)[\"\\']', text)\n                                    if match:\n                                        error_code = match.group(1)\n                                except Exception:\n                                    pass\n\n                            if error_code:\n                                # Raise flat payload to avoid nested JSON and preserve error_code\n                                raise Exception(json.dumps({\n                                    \"error_code\": error_code\n                                }, ensure_ascii=False))\n\n                            raise Exception(\n                                f\"ElasticSearch service returned HTTP {status}\")\n\n                        result = parsed_body if isinstance(parsed_body, dict) else await response.json()\n                        return result\n\n            except aiohttp.ClientConnectorError as e:\n                logger.error(\n                    f\"[{self.request.id}] FORWARD TASK: Connection error to {full_url}: {str(e)}\")\n                raise Exception(json.dumps({\n                    \"message\": f\"Failed to connect to API: {str(e)}\",\n                    \"index_name\": original_index_name,\n                    \"task_name\": \"forward\",\n                    \"source\": original_source,\n                    \"original_filename\": original_filename\n                }, ensure_ascii=False))\n            except asyncio.TimeoutError as e:\n                logger.warning(\n                    f\"[{self.request.id}] FORWARD TASK: Timeout when indexing documents: {str(e)}.\")\n                raise Exception(json.dumps({\n                    \"message\": f\"Timeout when indexing documents: {str(e)}\",\n                    \"index_name\": original_index_name,\n                    \"task_name\": \"forward\",\n                    \"source\": original_source,\n                    \"original_filename\": original_filename\n                }, ensure_ascii=False))\n            except Exception as e:\n                logger.error(\n                    f\"[{self.request.id}] FORWARD TASK: Unexpected error when indexing documents: {str(e)}.\")\n                raise Exception(json.dumps({\n                    \"message\": f\"Unexpected error when indexing documents: {str(e)}\",\n                    \"index_name\": original_index_name,\n                    \"task_name\": \"forward\",\n                    \"source\": original_source,\n                    \"original_filename\": original_filename\n                }, ensure_ascii=False))\n\n        logger.info(\n            f\"[{self.request.id}] FORWARD TASK: Starting ES indexing for {len(formatted_chunks)} chunks to index '{original_index_name}'...\")\n\n        # Update task state with total chunks before starting vectorization\n        self.update_state(\n            state=states.STARTED,\n            meta={\n                'source': original_source,\n                'index_name': original_index_name,\n                'original_filename': filename,\n                'task_name': 'forward',\n                'start_time': start_time,\n                'stage': 'vectorizing_and_storing',\n                'total_chunks': total_chunks,\n                'processed_chunks': 0  # Will be updated during vectorization via Redis\n            }\n        )\n\n        es_result = run_async(index_documents())\n        logger.debug(\n            f\"[{self.request.id}] FORWARD TASK: API response from main_server for source '{original_source}': {es_result}\")\n\n        if isinstance(es_result, dict) and es_result.get(\"success\"):\n            total_indexed = es_result.get(\"total_indexed\", 0)\n            total_submitted = es_result.get(\n                \"total_submitted\", len(formatted_chunks))\n            logger.debug(f\"[{self.request.id}] FORWARD TASK: main_server reported {total_indexed}/{total_submitted} documents indexed successfully for '{original_source}'. Message: {es_result.get('message')}\")\n\n            if total_indexed < total_submitted:\n                logger.info(\"Value when raise Exception:\")\n                logger.info(f\"original_source: {original_source}\")\n                logger.info(f\"original_index_name: {original_index_name}\")\n                logger.info(\"task_name: forward\")\n                logger.info(f\"source: {original_source}\")\n                raise Exception(json.dumps({\n                    \"message\": f\"Failure reported by main_server. Expected {total_submitted} chunks, indexed {total_indexed} chunks.\",\n                    \"index_name\": original_index_name,\n                    \"task_name\": \"forward\",\n                    \"source\": original_source,\n                    \"original_filename\": original_filename,\n                    \"error_code\": \"es_bulk_failed\"\n                }, ensure_ascii=False))\n        elif isinstance(es_result, dict) and not es_result.get(\"success\"):\n            error_message = es_result.get(\n                \"message\", \"Unknown error from main_server\")\n            raise Exception(json.dumps({\n                \"message\": f\"main_server API error: {error_message}\",\n                \"index_name\": original_index_name,\n                \"task_name\": \"forward\",\n                \"source\": original_source,\n                \"original_filename\": original_filename\n            }, ensure_ascii=False))\n        else:\n            raise Exception(json.dumps({\n                \"message\": f\"Unexpected API response format from main_server: {es_result}\",\n                \"index_name\": original_index_name,\n                \"task_name\": \"forward\",\n                \"source\": original_source,\n                \"original_filename\": original_filename\n            }, ensure_ascii=False))\n        end_time = time.time()\n\n        # Get final indexed count from result\n        final_processed = 0\n        if isinstance(es_result, dict) and es_result.get(\"success\"):\n            final_processed = es_result.get(\"total_indexed\", len(chunks))\n\n        logger.info(\n            f\"[{self.request.id}] FORWARD TASK: Updating task state to SUCCESS after ES indexing completion\")\n        self.update_state(\n            state=states.SUCCESS,\n            meta={\n                'chunks_stored': len(chunks),\n                'storage_time': end_time - start_time,\n                'source': original_source,\n                'index_name': original_index_name,\n                'original_filename': original_filename,\n                'task_name': 'forward',\n                'es_result': es_result,\n                'stage': 'completed',\n                'total_chunks': total_chunks,\n                'processed_chunks': final_processed\n            }\n        )\n\n        logger.info(\n            f\"[{self.request.id}] FORWARD TASK: Successfully stored {len(chunks)} chunks to index {original_index_name} in {end_time - start_time:.2f}s\")\n        return {\n            'task_id': task_id,\n            'source': original_source,\n            'index_name': original_index_name,\n            'original_filename': original_filename,\n            'chunks_stored': len(chunks),\n            'storage_time': end_time - start_time,\n            'es_result': es_result\n        }\n    except Exception as e:\n        # If it's an Exception, all go here (including our custom JSON message)\n        # Important: if this is a Celery Retry, re-raise immediately without recording error_code\n        if isinstance(e, Retry):\n            raise\n\n        task_id = self.request.id\n        try:\n            error_info = json.loads(str(e))\n            error_message = error_info.get('message', str(e))\n            logger.error(\n                f\"Error forwarding chunks for index '{error_info.get('index_name', '')}': {error_message}\")\n\n            # Extract error code from parsed error or error message\n            error_code = extract_error_code(error_message, error_info)\n\n            # Store only error code (if available) or raw error message\n            if error_code:\n                reason_to_store = json.dumps({\n                    \"error_code\": error_code\n                }, ensure_ascii=False)\n            else:\n                # Fallback: store raw error message (truncated if too long)\n                reason_to_store = error_message\n                if len(reason_to_store) > 200:\n                    reason_to_store = reason_to_store[:200] + \"...\"\n\n            # Save error info to Redis BEFORE re-raising\n            logger.info(\n                f\"Attempting to save error info for task {task_id} with reason: {reason_to_store[:100]}...\")\n            save_error_to_redis(task_id, reason_to_store, start_time)\n\n            self.update_state(\n                meta={\n                    'source': error_info.get('source', ''),\n                    'index_name': error_info.get('index_name', ''),\n                    'task_name': error_info.get('task_name', ''),\n                    'original_filename': error_info.get('original_filename', ''),\n                    'custom_error': error_message,\n                    'stage': 'forward_task_failed'\n                }\n            )\n        except Exception:\n            logger.error(f\"Error forwarding chunks: {str(e)}\")\n            # Try to save error even if parsing fails\n            try:\n                error_message = str(e)\n                # Extract error code from error message\n                error_code = extract_error_code(error_message, None)\n\n                # Store only error code (if available) or raw error message\n                if error_code:\n                    reason_to_store = json.dumps({\n                        \"error_code\": error_code\n                    }, ensure_ascii=False)\n                else:\n                    # Fallback: store raw error message (truncated if too long)\n                    reason_to_store = error_message\n                    if len(reason_to_store) > 200:\n                        reason_to_store = reason_to_store[:200] + \"...\"\n\n                save_error_to_redis(task_id, reason_to_store, start_time)\n            except Exception:\n                pass\n            self.update_state(\n                meta={\n                    'custom_error': str(e),\n                    'stage': 'forward_task_failed'\n                }\n            )\n        raise\n\n\n@app.task(bind=True, base=LoggingTask, name='data_process.tasks.process_and_forward')\ndef process_and_forward(\n        self,\n        source: str,\n        source_type: str,\n        chunking_strategy: str,\n        index_name: Optional[str] = None,\n        original_filename: Optional[str] = None,\n        authorization: Optional[str] = None,\n        embedding_model_id: Optional[int] = None,\n        tenant_id: Optional[str] = None\n) -> str:\n    \"\"\"\n    Combined task that chains processing and forwarding\n\n    This task delegates to a chain of process -> forward\n\n    Args:\n        source: Source file path, URL, or text content\n        source_type: source of the file(\"local\", \"minio\")\n        chunking_strategy: Strategy for chunking the document\n        index_name: Name of the index to store documents\n        original_filename: The original name of the file\n        authorization: Authorization header for API calls\n        embedding_model_id: Embedding model ID for chunk size configuration\n        tenant_id: Tenant ID for retrieving model configuration\n\n    Returns:\n        Task ID of the chain\n    \"\"\"\n    logger.info(\n        f\"Starting processing chain for {source}, original_filename={original_filename}, strategy={chunking_strategy}, index={index_name}, model_id={embedding_model_id}\")\n\n    # Create a task chain\n    task_chain = chain(\n        process.s(\n            source=source,\n            source_type=source_type,\n            chunking_strategy=chunking_strategy,\n            index_name=index_name,\n            original_filename=original_filename,\n            embedding_model_id=embedding_model_id,\n            tenant_id=tenant_id\n        ).set(queue='process_q'),\n        forward.s(\n            index_name=index_name,\n            source=source,\n            source_type=source_type,\n            original_filename=original_filename,\n            authorization=authorization\n        ).set(queue='forward_q')\n    )\n\n    # Execute the chain\n    result = task_chain.apply_async()\n    if result is None or not hasattr(result, 'id') or result.id is None:\n        logger.error(\n            \"Celery chain apply_async() did not return a valid result or result.id\")\n        return \"\"\n    logger.info(f\"Created task chain ID: {result.id}\")\n\n    return result.id\n\n\n@app.task(bind=True, base=LoggingTask, name='data_process.tasks.process_sync')\ndef process_sync(\n        self,\n        source: str,\n        source_type: str,\n        chunking_strategy: str = \"basic\",\n        timeout: int = 30,\n        **params\n) -> Dict:\n    \"\"\"\n    Synchronous process task that returns text directly (for real-time API)\n\n    Args:\n        source: Source file path, URL, or text content\n        source_type: source of the file(\"local\", \"minio\")\n        chunking_strategy: Strategy for chunking the document\n        timeout: Timeout for the operation\n        **params: Additional parameters\n\n    Returns:\n        Dict containing the extracted text and metadata\n    \"\"\"\n    start_time = time.time()\n    task_id = self.request.id\n\n    # Check if we're in a valid Celery context before updating state\n    is_celery_context = hasattr(\n        self, 'request') and self.request.id is not None\n\n    # Update task state to PROCESSING only if in Celery context\n    if is_celery_context:\n        self.update_state(\n            state=states.STARTED,\n            meta={\n                'source': source,\n                'source_type': source_type,\n                'task_name': 'process_sync',\n                'start_time': start_time,\n                'sync_mode': True\n            }\n        )\n\n    logger.info(\n        f\"Synchronous processing file: {source} with strategy: {chunking_strategy}\")\n\n    # Get the data processor instance\n    actor = get_ray_actor()\n\n    try:\n        # Process the file based on the source type\n        if source_type == \"local\":\n            # The unified actor call, mapping 'file' source_type to 'local' destination\n            chunks_ref = actor.process_file.remote(\n                source,\n                chunking_strategy,\n                destination=source_type,\n                task_id=task_id,\n                **params\n            )\n\n            chunks = ray.get(chunks_ref)\n        else:\n            raise NotImplementedError(\n                f\"Source type '{source_type}' not yet implemented\")\n\n        end_time = time.time()\n        elapsed_time = end_time - start_time\n\n        # Extract text from chunks\n        text_content = \"\\n\\n\".join(\n            [chunk.get(\"content\", \"\") for chunk in chunks])\n\n        # Update task state to COMPLETE only if in Celery context\n        if is_celery_context:\n            self.update_state(\n                state=states.SUCCESS,\n                meta={\n                    'chunks_count': len(chunks),\n                    'processing_time': elapsed_time,\n                    'source': source,\n                    'task_name': 'process_sync',\n                    'text_length': len(text_content),\n                    'sync_mode': True\n                }\n            )\n\n        logger.info(\n            f\"Synchronously processed {len(chunks)} chunks from {source} in {elapsed_time:.2f}s\")\n\n        return {\n            'task_id': task_id,\n            'source': source,\n            'text': text_content,\n            'chunks': chunks,\n            'chunks_count': len(chunks),\n            'processing_time': elapsed_time,\n            'text_length': len(text_content)\n        }\n\n    except Exception as e:\n        logger.error(f\"Error synchronously processing file {source}: {str(e)}\")\n\n        # Update task state to FAILURE with custom metadata only if in Celery context\n        if is_celery_context:\n            self.update_state(\n                meta={\n                    'source': source,\n                    'task_name': 'process_sync',\n                    'custom_error': str(e),\n                    'sync_mode': True,\n                    'stage': 'sync_processing_failed'\n                }\n            )\n\n        # Re-raise to let Celery handle exception serialization\n        raise\n"
  },
  {
    "path": "backend/data_process/utils.py",
    "content": "\"\"\"\nUtility functions for Celery tasks\n\"\"\"\nimport asyncio\nimport json\nimport logging\nimport time\nfrom typing import Any, Dict, List, Optional\n\nimport redis\nfrom celery.result import AsyncResult\n\nfrom .app import app as celery_app\n\nlogger = logging.getLogger(\"data_process.utils\")\n\n\ndef get_all_task_ids_from_redis(redis_client: redis.Redis) -> List[str]:\n    \"\"\"\n    Get all task IDs from Redis backend\n\n    Returns:\n        List of task IDs found in Redis\n    \"\"\"\n    task_ids = []\n    try:\n        # Get all keys matching Celery result pattern\n        result_keys = redis_client.keys('celery-task-meta-*')\n\n        # Extract task IDs from keys\n        for key in result_keys:\n            if isinstance(key, bytes):\n                key = key.decode('utf-8')\n\n            # Extract task ID from key format: celery-task-meta-<task_id>\n            if key.startswith('celery-task-meta-'):\n                task_id = key.replace('celery-task-meta-', '')\n                task_ids.append(task_id)\n\n        logger.debug(f\"Found {len(task_ids)} task IDs in Redis\")\n    except Exception as e:\n        logger.warning(f\"Failed to get task IDs from Redis: {str(e)}\")\n\n    return task_ids\n\n\nasync def get_task_info(task_id: str) -> Dict[str, Any]:\n    \"\"\"\n    Get task status and metadata\n\n    Args:\n        task_id: Celery task ID\n\n    Returns:\n        Task status information\n    \"\"\"\n    loop = asyncio.get_running_loop()\n\n    def sync_get():\n        result = AsyncResult(task_id, app=celery_app)\n\n        # Get current time for updated_at if not available\n        current_time = time.time()\n\n        # Construct basic status information\n        status_info = {\n            'id': task_id,\n            'index_name': '',\n            'task_name': '',\n            'path_or_url': '',\n            'original_filename': '',\n            'status': result.status if result.status else 'PENDING',\n            'created_at': current_time,\n            'updated_at': current_time,\n            'error': None\n        }\n\n        # Check if result backend is available\n        backend_available = True\n        try:\n            status = result.status\n            if status:\n                status_info['status'] = status\n        except AttributeError as e:\n            if 'DisabledBackend' in str(e):\n                logger.warning(\n                    f\"Result backend is disabled for task {task_id}: {str(e)}\")\n                backend_available = False\n                status_info['error'] = \"Result backend disabled - cannot retrieve task status\"\n            else:\n                logger.warning(f\"Backend error for task {task_id}: {str(e)}\")\n                backend_available = False\n                status_info['error'] = f\"Backend error: {str(e)}\"\n        except Exception as e:\n            logger.warning(\n                f\"Error accessing task status for {task_id}: {str(e)}\")\n            backend_available = False\n            status_info['error'] = f\"Status access error: {str(e)}\"\n\n        # If backend is available, try to get metadata\n        if backend_available:\n            try:\n                # Add metadata from task state\n                if result.info:\n                    if isinstance(result.info, dict):\n                        # For successful tasks, the result may contain metadata\n                        metadata = result.info\n\n                        # Get task_name from metadata if available\n                        if 'task_name' in metadata:\n                            status_info['task_name'] = metadata['task_name']\n\n                        # Add timestamps if available\n                        if 'start_time' in metadata:\n                            status_info['created_at'] = metadata['start_time']\n\n                        # Extract index_name from metadata\n                        if 'index_name' in metadata:\n                            status_info['index_name'] = metadata['index_name']\n\n                        if 'source' in metadata:\n                            status_info['path_or_url'] = metadata['source']\n\n                        if 'original_filename' in metadata:\n                            status_info['original_filename'] = metadata['original_filename']\n                        \n                        # Get progress info from metadata\n                        if 'total_chunks' in metadata:\n                            status_info['total_chunks'] = metadata['total_chunks']\n                        if 'processed_chunks' in metadata:\n                            status_info['processed_chunks'] = metadata['processed_chunks']\n                        \n                        # Always try to get latest progress from Redis (real-time updates during vectorization)\n                        # Redis progress takes precedence over metadata for active tasks\n                        try:\n                            from services.redis_service import get_redis_service\n                            redis_service = get_redis_service()\n                            progress_info = redis_service.get_progress_info(task_id)\n                            if progress_info:\n                                # Use Redis progress as primary source (updated in real-time)\n                                status_info['processed_chunks'] = progress_info.get('processed_chunks', status_info.get('processed_chunks'))\n                                status_info['total_chunks'] = progress_info.get('total_chunks', status_info.get('total_chunks'))\n                        except Exception as e:\n                            logger.debug(f\"Failed to get progress from Redis for task {task_id}: {str(e)}\")\n                # Add error information for failed tasks\n                if result.failed():\n                    try:\n                        info = str(result.info)\n                        error_json = None\n                        if isinstance(info, str):\n                            try:\n                                error_json = json.loads(info)\n                            except Exception as e:\n                                logger.error(\n                                    f\"Failed to load result.info as a json: {str(e)}\")\n                                error_json = None\n                        else:\n                            logger.warning(\n                                f\"Cannot parse result.info into a string: {type(result.info)}\")\n\n                        if error_json:\n                            if error_json.get('message') is not None:\n                                status_info['error'] = error_json.get(\n                                    'message')\n                            if error_json.get('index_name') is not None:\n                                status_info['index_name'] = error_json.get(\n                                    'index_name')\n                            if error_json.get('task_name') is not None:\n                                status_info['task_name'] = error_json.get(\n                                    'task_name')\n                            if error_json.get('source') is not None:\n                                status_info['path_or_url'] = error_json.get(\n                                    'source')\n                            if error_json.get('original_filename') is not None:\n                                status_info['original_filename'] = error_json.get(\n                                    'original_filename')\n                        else:\n                            # fallback: compatible with previous format\n                            status_info['error'] = str(\n                                result.result) if result.result else \"Unknown error\"\n                    except Exception as e:\n                        logger.warning(\n                            f\"Could not parse error info for task {task_id}, falling back. Error: {e}\")\n                        status_info['error'] = str(\n                            result.result) if result.result else \"Unknown error\"\n                    logger.debug(\n                        f\"Task {task_id} failed with error: {status_info['error']}\")\n\n                # Add result information for successful tasks\n                if result.successful() and result.result:\n                    if isinstance(result.result, dict):\n                        # Include specific result fields that are useful for API\n                        for key in ['chunks_count', 'processing_time', 'storage_time', 'es_result']:\n                            if key in result.result:\n                                status_info[key] = result.result[key]\n            except Exception as e:\n                logger.warning(\n                    f\"Error getting metadata for task {task_id}: {str(e)}\")\n                status_info['error'] = f\"Metadata access error: {str(e)}\"\n        logger.debug(\n            f\"Task {task_id} status: {status_info['status']}, index: {status_info['index_name']}, task_name: {status_info['task_name']}\")\n        return status_info\n    try:\n        return await loop.run_in_executor(None, sync_get)\n    except ValueError as e:\n        if \"Exception information must include the exception type\" in str(e):\n            logger.warning(\n                f\"Task {task_id} has legacy bad exception format, marking as FAILURE for forced update.\")\n            return {\n                'id': task_id,\n                'status': 'FAILURE',\n                'created_at': '',\n                'updated_at': '',\n                'error': 'Legacy task error: exception type missing, forcibly marked as FAILURE.',\n                'index_name': '',\n                'task_name': '',\n                'path_or_url': '',\n                'original_filename': '',\n            }\n        else:\n            logger.error(f\"Error getting status for task {task_id}: {str(e)}\")\n            return {\n                'id': task_id,\n                'status': 'FAILURE',\n                'created_at': '',\n                'updated_at': '',\n                'error': f\"Cannot retrieve task status: {str(e)}\",\n                'index_name': '',\n                'task_name': '',\n                'path_or_url': '',\n                'original_filename': '',\n            }\n    except Exception as e:\n        logger.warning(f\"Error getting status for task {task_id}: {str(e)}\")\n        # Return minimal information if task status cannot be retrieved\n        return {\n            'id': task_id,\n            'status': 'FAILURE',\n            'created_at': \"\",\n            'updated_at': \"\",\n            'error': f\"Cannot retrieve task status: {str(e)}\",\n            'index_name': '',\n            'task_name': '',\n            'path_or_url': '',\n            'original_filename': '',\n        }\n\n\nasync def get_task_details(task_id: str) -> Optional[Dict[str, Any]]:\n    \"\"\"\n    Get detailed task information\n\n    Args:\n        task_id: Celery task ID\n\n    Returns:\n        Detailed task information or None if not found\n    \"\"\"\n    task_info = await get_task_info(task_id)\n    loop = asyncio.get_running_loop()\n\n    def sync_result():\n        result = AsyncResult(task_id, app=celery_app)\n        if result.successful() and result.result:\n            if isinstance(result.result, dict):\n                if 'chunks_count' in result.result:\n                    task_info['chunks_count'] = result.result['chunks_count']\n                if 'processing_time' in result.result:\n                    task_info['processing_time'] = result.result['processing_time']\n                if 'storage_time' in result.result:\n                    task_info['storage_time'] = result.result['storage_time']\n                if 'es_result' in result.result:\n                    task_info['es_result'] = result.result['es_result']\n                task_info['result'] = result.result\n        return task_info\n    return await loop.run_in_executor(None, sync_result)\n"
  },
  {
    "path": "backend/data_process/worker.py",
    "content": "\"\"\"\r\nCelery worker script for data processing tasks\r\n\r\nThis script is used to start Celery workers for processing data\r\nand forwarding to vector storage.\r\n\r\nEnhanced with worker initialization signal design pattern.\r\n\r\nUsage:\r\n    # Start a worker that handles both queues\r\n    python worker.py\r\n\r\n    # Start a worker for processing only (high concurrency)\r\n    QUEUES=process_q WORKER_CONCURRENCY=8 python worker.py\r\n\r\n    # Start a worker for forwarding only (lower concurrency)\r\n    QUEUES=forward_q WORKER_CONCURRENCY=2 python worker.py\r\n\"\"\"\r\n\r\nimport logging\r\nimport os\r\nimport sys\r\nimport time\r\nimport traceback\r\n\r\nimport ray\r\nfrom celery.signals import (\r\n    task_failure,\r\n    task_postrun,\r\n    task_prerun,\r\n    worker_init,\r\n    worker_process_init,\r\n    worker_ready,\r\n    worker_shutting_down,\r\n)\r\n\r\nfrom consts.const import (\r\n    CELERY_TASK_TIME_LIMIT,\r\n    CELERY_WORKER_PREFETCH_MULTIPLIER,\r\n    ELASTICSEARCH_SERVICE,\r\n    QUEUES,\r\n    RAY_ADDRESS,\r\n    RAY_preallocate_plasma,\r\n    REDIS_URL,\r\n    WORKER_CONCURRENCY,\r\n    WORKER_NAME,\r\n)\r\n\r\nfrom .app import app\r\nfrom .ray_config import RayConfig\r\n\r\n# Global worker state for monitoring and debugging\r\nworker_state = {\r\n    'initialized': False,\r\n    'ready': False,\r\n    'start_time': None,\r\n    'process_id': None,\r\n    'tasks_completed': 0,\r\n    'tasks_failed': 0,\r\n    'environment_validated': False,\r\n    'services_validated': False\r\n}\r\n\r\nlogger = logging.getLogger(\"data_process.worker\")\r\n\r\n\r\n# ============================================================================\r\n# WORKER INITIALIZATION SIGNALS\r\n# ============================================================================\r\n@worker_init.connect\r\ndef setup_worker_environment(**kwargs):\r\n    \"\"\"\r\n    Call when initializing worker environment\r\n    This is the earliest initialization step - environment variables and basic configuration\r\n    \"\"\"\r\n    start_time = time.time()\r\n    worker_state['start_time'] = start_time\r\n    worker_state['process_id'] = os.getpid()\r\n\r\n    logger.info(\"=\"*60)\r\n    logger.info(\"🚀 Celery Worker initialization started\")\r\n    logger.info(f\"Process ID: {os.getpid()}\")\r\n    logger.info(\"=\"*60)\r\n\r\n    try:\r\n        # Disable verbose Celery task success logging\r\n        logging.getLogger('celery.worker.strategy').setLevel(logging.WARNING)\r\n\r\n        # Initialize Ray - connect to existing cluster\r\n        if not ray.is_initialized():\r\n            logger.info(\"🔮 Ray connecting to existing cluster...\")\r\n\r\n            # Get Ray address from environment\r\n            ray_address = RAY_ADDRESS\r\n\r\n            try:\r\n                os.environ[\"RAY_preallocate_plasma\"] = str(\r\n                    RAY_preallocate_plasma).lower()\r\n\r\n                # Initialize Ray using the centralized RayConfig helper\r\n                if not RayConfig.init_ray_for_worker(ray_address):\r\n                    logger.warning(\"Warning: fallback to direct ray.init\")\r\n                    # Fallback to direct ray.init if helper fails\r\n                    ray.init(\r\n                        address=ray_address,\r\n                        ignore_reinit_error=True,\r\n                    )\r\n\r\n                logger.info(\r\n                    f\"✅ Ray connected to cluster at {ray_address} successfully.\")\r\n\r\n            except Exception as e:\r\n                logger.error(f\"❌ Failed to connect to Ray cluster: {str(e)}\")\r\n                logger.error(\r\n                    \"💡 Please make sure Ray cluster is started before workers!\")\r\n                logger.error(\r\n                    \"💡 You can start it via: python data_process_service.py\")\r\n                raise ConnectionError(\r\n                    f\"Cannot connect to Ray cluster: {str(e)}\")\r\n\r\n        # Check environment variables\r\n        logger.info(\"🔍 Check sensitive variables\")\r\n        sensitive_vars = {\r\n            'REDIS_URL': REDIS_URL,\r\n            'ELASTICSEARCH_SERVICE': ELASTICSEARCH_SERVICE\r\n        }\r\n\r\n        for var_name, var_value in sensitive_vars.items():\r\n            if var_value:\r\n                logger.debug(f\"  ✅ {var_name}: SET\")\r\n            else:\r\n                logger.error(f\"  ❌ {var_name}: NOT SET\")\r\n\r\n        worker_state['initialized'] = True\r\n        elapsed = time.time() - start_time\r\n        logger.debug(\r\n            f\"✅ Worker environment initialized (time: {elapsed:.2f} s)\")\r\n\r\n    except Exception as e:\r\n        logger.error(f\"❌ Worker environment initialization failed: {str(e)}\")\r\n        logger.error(f\"Error details: {traceback.format_exc()}\")\r\n        # Do not exit here, let Celery handle the error\r\n        raise\r\n\r\n\r\n@worker_process_init.connect\r\ndef setup_worker_process_resources(**kwargs):\r\n    \"\"\"\r\n    Call when initializing each worker process\r\n    Suitable for initializing process-specific resources (e.g. database connection pool)\r\n    \"\"\"\r\n    process_id = os.getpid()\r\n    logger.info(f\"⚙️ Initialize worker process {process_id}\")\r\n\r\n    try:\r\n        # Initialize process-specific resources\r\n        # e.g. database connection pool, cache client, etc.\r\n\r\n        # Validate critical service connections\r\n        logger.debug(\"🔍 Validate service connections\")\r\n        validate_service_connections()\r\n        worker_state['services_validated'] = True\r\n        logger.debug(\"✅ Service connections validated\")\r\n\r\n        # Initialize heavy objects like DataProcessCore\r\n        logger.debug(\"⚙️ Initialize data processing components\")\r\n        # Here we can pre-initialize global objects to avoid delays on the first task\r\n\r\n        logger.debug(f\"✅ Worker process {process_id} initialized\")\r\n\r\n    except Exception as e:\r\n        logger.error(\r\n            f\"❌ Worker process {process_id} initialization failed: {str(e)}\")\r\n        raise\r\n\r\n\r\n@worker_ready.connect\r\ndef worker_ready_handler(**kwargs):\r\n    \"\"\"\r\n    Call when worker is fully ready\r\n    Suitable for registering services, starting monitoring, etc.\r\n    \"\"\"\r\n    process_id = os.getpid()\r\n    start_time = worker_state.get('start_time')\r\n    total_startup_time = time.time() - start_time if start_time else 0\r\n\r\n    worker_state['ready'] = True\r\n\r\n    logger.debug(\"✅ \" + \"=\"*50)\r\n    logger.info(\"✅ Celery Worker is fully ready!\")\r\n    logger.debug(f\"Process ID: {process_id}\")\r\n    logger.debug(f\"Total startup time: {total_startup_time:.2f} s\")\r\n    logger.debug(\"✅ \" + \"=\"*50)\r\n\r\n    # Display worker status summary\r\n    logger.debug(\"📊 Worker status summary:\")\r\n    for key, value in worker_state.items():\r\n        logger.debug(f\"  {key}: {value}\")\r\n\r\n    # Register health check endpoints, start monitoring, etc.\r\n    logger.debug(\"🔍 Worker is ready to receive tasks\")\r\n\r\n\r\n@worker_shutting_down.connect\r\ndef worker_shutdown_handler(**kwargs):\r\n    \"\"\"Cleanup operations when the worker shuts down\"\"\"\r\n    process_id = worker_state.get('process_id', os.getpid())\r\n    uptime = time.time() - worker_state.get('start_time', time.time())\r\n\r\n    logger.debug(\"🛑 \" + \"=\"*50)\r\n    logger.info(\"🛑 Celery Worker is shutting down...\")\r\n    logger.debug(f\"🛑 Process ID: {process_id}\")\r\n    logger.debug(f\"🛑 Uptime: {uptime:.2f} s\")\r\n    logger.info(f\"🛑 Completed tasks: {worker_state.get('tasks_completed', 0)}\")\r\n    logger.info(f\"🛑 Failed tasks: {worker_state.get('tasks_failed', 0)}\")\r\n    logger.debug(\"🛑 \" + \"=\"*50)\r\n\r\n\r\n@task_prerun.connect\r\ndef task_prerun_handler(sender=None, task_id=None, task=None, args=None, kwargs=None, **kwds):\r\n    \"\"\"Handler before task execution\"\"\"\r\n    logger.debug(f\"📋 Task started: {task.name}[{task_id}]\")\r\n\r\n\r\n@task_postrun.connect\r\ndef task_postrun_handler(sender=None, task_id=None, task=None, args=None, kwargs=None, retval=None, state=None, **kwds):\r\n    \"\"\"Handler after task execution\"\"\"\r\n    if state == 'SUCCESS':\r\n        worker_state['tasks_completed'] += 1\r\n        # No log output for successful tasks, to reduce noise\r\n        pass\r\n    else:\r\n        logger.debug(f\"⚠️ Task ended: {task.name}[{task_id}] - State: {state}\")\r\n\r\n\r\n@task_failure.connect\r\ndef task_failure_handler(sender=None, task_id=None, exception=None, einfo=None, **kwds):\r\n    \"\"\"Handler when task fails\"\"\"\r\n    worker_state['tasks_failed'] += 1\r\n    logger.error(\r\n        f\"❌ Task failed: {sender.name}[{task_id}] - Exception: {str(exception)}\")\r\n\r\n\r\n# ============================================================================\r\n# Service validation functions\r\n# ============================================================================\r\ndef validate_service_connections() -> bool:\r\n    \"\"\"Validate critical service connections\"\"\"\r\n    try:\r\n        # Validate Redis connection\r\n        logger.debug(\"🔍 Validate Redis connection\")\r\n        validate_redis_connection()\r\n        logger.debug(\"✅ Redis connection is valid\")\r\n\r\n        return True\r\n\r\n    except Exception as e:\r\n        logger.error(f\"❌ Service connection validation failed: {str(e)}\")\r\n        # Decide whether to raise an exception based on business requirements\r\n        # Here we choose to log the error but not prevent the worker from starting\r\n        return False\r\n\r\n\r\ndef validate_redis_connection() -> bool:\r\n    \"\"\"Validate Redis connection\"\"\"\r\n    try:\r\n        import redis\r\n        redis_connection_url = REDIS_URL\r\n\r\n        # Parse Redis URL and create connection\r\n        redis_client = redis.from_url(redis_connection_url, socket_timeout=5)\r\n\r\n        # Test connection\r\n        redis_client.ping()\r\n        return True\r\n\r\n    except ImportError:\r\n        logger.warning(\r\n            \"⚠️ Redis client not installed, skipping Redis connection validation\")\r\n        return False\r\n    except Exception as e:\r\n        logger.error(f\"Redis connection failed: {str(e)}\")\r\n        raise\r\n\r\n\r\n# ============================================================================\r\n# Worker startup function\r\n# ============================================================================\r\ndef start_worker():\r\n    \"\"\"Start Celery worker with appropriate settings\"\"\"\r\n\r\n    # Get configuration parameters\r\n    queues = QUEUES\r\n    worker_name = WORKER_NAME or f'worker-{os.getpid()}'\r\n    concurrency = WORKER_CONCURRENCY\r\n\r\n    logger.info(f\"Start Celery worker '{worker_name}' with queues: {queues}\")\r\n    logger.info(f\"Worker concurrency: {concurrency}\")\r\n\r\n    # Display Celery configuration information\r\n    logger.debug(\"📋 Celery configuration information:\")\r\n    logger.debug(f\"  Broker URL: {app.conf.broker_url}\")\r\n    logger.debug(f\"  Backend URL: {app.conf.result_backend}\")\r\n    logger.debug(f\"  Task routes: {app.conf.task_routes}\")\r\n    logger.debug(f\"  Task time limit: {CELERY_TASK_TIME_LIMIT} s\")\r\n    logger.debug(\r\n        f\"  Worker prefetch multiplier: {CELERY_WORKER_PREFETCH_MULTIPLIER}\")\r\n\r\n    # Worker startup parameters\r\n    worker_args = [\r\n        'worker',\r\n        '--loglevel=info',\r\n        f'--queues={queues}',\r\n        f'--hostname={worker_name}@%h',\r\n        f'--concurrency={concurrency}',\r\n        '--pool=threads',\r\n        '--task-events',\r\n        '-Ofair'\r\n    ]\r\n\r\n    try:\r\n        logger.info(f\"⚙️ Starting worker '{worker_name}'...\")\r\n\r\n        # Flush stdout to ensure immediate output\r\n        sys.stdout.flush()\r\n\r\n        # Start worker - signal handlers will be executed at appropriate times\r\n        app.worker_main(worker_args)\r\n\r\n    except KeyboardInterrupt:\r\n        logger.info(f\"🛑 Worker '{worker_name}' was interrupted by user\")\r\n        sys.exit(0)\r\n    except Exception as e:\r\n        logger.error(f\"❌ Error starting worker '{worker_name}': {str(e)}\")\r\n        logger.error(f\"Error details: {traceback.format_exc()}\")\r\n        sys.exit(1)\r\n\r\n\r\nif __name__ == '__main__':\r\n    start_worker()\r\nelse:\r\n    # Support importing this module and calling start_worker()\r\n    logger.info(\"Worker module imported, will not start worker automatically\")\r\n"
  },
  {
    "path": "backend/data_process_service.py",
    "content": "import uvicorn\nimport os\nimport sys\nimport subprocess\nimport signal\nimport logging\nimport argparse\nimport time\nimport threading\nimport re\nimport ray\nfrom contextlib import asynccontextmanager\nfrom typing import Any\nfrom dotenv import load_dotenv\nfrom fastapi import FastAPI\n\nfrom data_process.ray_config import RayConfig\nfrom utils.logging_utils import configure_logging\nfrom consts.const import (\n    REDIS_URL, REDIS_PORT, FLOWER_PORT, RAY_DASHBOARD_PORT, RAY_DASHBOARD_HOST,\n    RAY_ACTOR_NUM_CPUS, RAY_NUM_CPUS, DISABLE_RAY_DASHBOARD, DISABLE_CELERY_FLOWER,\n    DOCKER_ENVIRONMENT, RAY_OBJECT_STORE_MEMORY_GB, RAY_preallocate_plasma, RAY_TEMP_DIR\n)\n\n# Load environment variables\nload_dotenv()\n\n# Configure logging with color formatter\nconfigure_logging(logging.INFO)\nlogging.getLogger(\"ray\").setLevel(logging.WARNING)\nlogger = logging.getLogger(\"data_process_service\")\n\n# Global variables to track processes\nservice_processes = {\n    'redis': None,\n    'ray_cluster': None,\n    'workers': [],\n    'flower': None,\n}\n\nclass ServiceManager:\n    \"\"\"Manage all data processing related services\"\"\"\n    \n    def __init__(self, config: dict[str, Any]):\n        self.config = config\n        self.redis_port = config.get('redis_port', REDIS_PORT)\n        self.flower_port = config.get('flower_port', FLOWER_PORT)\n        self.ray_dashboard_port = config.get('ray_dashboard_port', RAY_DASHBOARD_PORT)\n        \n        # Unify configuration from command-line arguments and environment variables.\n        # A service is disabled if EITHER the command-line flag is set OR the env var is 'true'.\n        disable_dashboard_from_args = self.config.get('disable_ray_dashboard', False)\n        self.config['disable_ray_dashboard'] = disable_dashboard_from_args or DISABLE_RAY_DASHBOARD\n\n        # Flower is started only if it's enabled by args AND not disabled by env var.\n        disable_flower_from_args = self.config.get('disable_celery_flower', False)\n        self.config['start_flower'] = not (disable_flower_from_args or DISABLE_CELERY_FLOWER)\n\n        self._shutdown_called = False  # Flag to prevent multiple shutdowns\n        self._ray_cluster_started = False  # Track if we started Ray cluster\n        \n    def start_redis(self):\n        \"\"\"Start Redis server if not already running\"\"\"\n        # Local Redis is not supported yet\n        redis_url = REDIS_URL or f'redis://localhost:{self.redis_port}/0'\n        return self._check_redis_connection(redis_url)\n    \n    def _check_redis_connection(self, redis_url: str) -> bool:\n        \"\"\"Check Redis connection using Python redis client\"\"\"\n        redis_url = REDIS_URL\n        try:\n            import redis\n            redis_client = redis.from_url(redis_url, socket_timeout=5, socket_connect_timeout=5)\n            redis_client.ping()\n            logger.info(f\"✅ Redis connection successful: {redis_url}\")\n            return True\n        except ImportError:\n            logger.error(\"❌ Redis Python client not available. Please install: pip install redis\")\n            return False\n        except Exception as e:\n            logger.error(f\"❌ Redis connection failed: {str(e)}\")\n            return False\n    \n    def start_ray_cluster(self):\n        \"\"\"Start Ray cluster if not already running\"\"\"\n        if not self.config.get('start_ray', True):\n            logger.info(\"⏸️ Ray cluster startup disabled\")\n            return True\n            \n        try:\n            include_dashboard = not self.config.get('disable_ray_dashboard', False)\n            # Check if Ray is already initialized\n            if ray.is_initialized():\n                logger.info(\"✅ Ray cluster already running\")\n                return True\n            \n            # Get Ray configuration from environment\n            num_cpus = int(RAY_NUM_CPUS) if RAY_NUM_CPUS else os.cpu_count()\n            dashboard_host = RAY_DASHBOARD_HOST\n            \n            logger.info(\"🔮 Starting Ray cluster...\")\n            \n            # Initialize Ray using the centralized RayConfig helper\n            success = RayConfig.init_ray_for_service(\n                num_cpus=num_cpus,\n                dashboard_port=self.ray_dashboard_port,\n                try_connect_first=True,\n                include_dashboard=include_dashboard\n            )\n\n            if not success:\n                # Fallback to direct Ray initialization\n                try:\n                    # Set RAY_preallocate_plasma environment variable before initialization\n                    os.environ[\"RAY_preallocate_plasma\"] = str(\n                        RAY_preallocate_plasma).lower()\n\n                    # Calculate object store memory in bytes\n                    object_store_memory = int(\n                        RAY_OBJECT_STORE_MEMORY_GB * 1024 * 1024 * 1024)\n\n                    logger.info(\n                        f\"Fallback: Initializing Ray with object_store_memory={RAY_OBJECT_STORE_MEMORY_GB}GB, preallocate_plasma={RAY_preallocate_plasma}\")\n\n                    ray.init(\n                        num_cpus=num_cpus,\n                        object_store_memory=object_store_memory,\n                        _temp_dir=RAY_TEMP_DIR,\n                        object_spilling_directory=RAY_TEMP_DIR,\n                        include_dashboard=include_dashboard,\n                        dashboard_host=dashboard_host,\n                        dashboard_port=self.ray_dashboard_port,\n                        ignore_reinit_error=True\n                    )\n                    success = True\n                except Exception as e:\n                    logger.error(f\"Fallback Ray initialization failed: {e}\")\n                    success = False\n            \n            if success:\n                self._ray_cluster_started = True\n                service_processes['ray_cluster'] = True  # Mark as managed by this service\n                \n                logger.info(\"✅ Ray cluster initialized successfully!\")\n                if include_dashboard:\n                    logger.info(f\"✅ Ray dashboard available at: http://{dashboard_host}:{self.ray_dashboard_port}\")\n                else:\n                    logger.info(\"⏸️ Ray dashboard disabled\")\n                \n                # Display cluster info\n                try:\n                    cluster_resources = ray.cluster_resources()\n                    logger.info(f\"✅ Ray cluster resources: {cluster_resources}\")\n                except Exception as e:\n                    logger.debug(f\"❌ Could not get cluster resources: {e}\")\n                \n                # Propagate Ray address to environment for child processes so that\n                # subsequently spawned worker processes can connect to the same Ray\n                # cluster without additional configuration.\n                try:\n                    gcs_address = ray.get_runtime_context().gcs_address\n                    if gcs_address:\n                        os.environ[\"RAY_ADDRESS\"] = gcs_address\n                        # Store in config for potential later use\n                        self.config['ray_address'] = gcs_address\n                        logger.info(f\"✅ RAY_ADDRESS environment variable set to {gcs_address}\")\n                except Exception as e:\n                    logger.debug(f\"❌ Could not determine Ray address: {e}\")\n                \n                return True\n                \n        except Exception as e:\n            logger.error(f\"❌ Error starting Ray cluster: {str(e)}\")\n            import traceback\n            logger.error(traceback.format_exc())\n            return False\n    \n    def start_workers(self):\n        \"\"\"Start Celery workers for process and forward queues\"\"\"\n        if not self.config.get('start_workers', True):\n            logger.info(\"⏸️ Workers startup disabled\")\n            return True\n            \n        try:\n            # Check if we're in Docker environment\n            logger.info(f\"Starting workers in {'Docker' if DOCKER_ENVIRONMENT else 'development'} environment\")\n\n            # Dynamically determine concurrency for process-worker based on Ray's CPU resources\n            # Each process task requires 1 CPU from Ray. Concurrency should not exceed available CPUs.\n            # Fallback to 1 if os.cpu_count() is None.\n            total_cpus = int(RAY_NUM_CPUS) if RAY_NUM_CPUS else (os.cpu_count() or 1)\n\n            # Get the number of CPUs requested by each actor.\n            ray_actor_num_cpus = RAY_ACTOR_NUM_CPUS\n            \n            # Calculate concurrency for the process-worker. Each worker will spawn an actor,\n            # so we limit concurrency to avoid oversubscribing Ray's CPU resources.\n            process_worker_concurrency = max(1, total_cpus // ray_actor_num_cpus)\n            \n            # For forward-worker, it's I/O bound. A higher concurrency is fine, but we can cap it\n            # relative to CPU count to avoid creating excessive threads on small machines.\n            forward_worker_concurrency = min(8, total_cpus * 2)\n\n            logger.debug(f\"Total available CPUs: {total_cpus}\")\n            logger.debug(f\"CPUs per processing actor (RAY_ACTOR_NUM_CPUS): {ray_actor_num_cpus}\")\n            logger.debug(f\"Process-worker concurrency set to: {process_worker_concurrency}\")\n            logger.debug(f\"Forward-worker concurrency set to: {forward_worker_concurrency}\")\n\n            # Define worker configurations based on new architecture\n            workers_config = [\n                {\n                    'name': 'process-worker',\n                    'queue': 'process_q',\n                    'concurrency': process_worker_concurrency\n                },\n                {\n                    'name': 'forward-worker', \n                    'queue': 'forward_q',\n                    'concurrency': forward_worker_concurrency\n                }\n            ]\n            \n            # Start each worker in a separate process\n            for config in workers_config:\n                # Use full Python path and correct module path\n                worker_cmd = [\n                    sys.executable, '-c',\n                    f'''\nimport sys, os, logging\n\n# The CWD for subprocess.Popen is already set to the 'backend' directory.\n# PYTHONPATH is also set to the 'backend' directory by the parent process.\n# So, modules within 'data_process' should be directly importable.\n\n# Ensure the current working directory (backend) is in path for relative imports if any.\n# Also ensure the parent of CWD (project root) is in path for nexent.* imports\nproject_root = os.path.dirname(os.getcwd())\nif os.getcwd() not in sys.path:\n    sys.path.insert(0, os.getcwd())\nif project_root not in sys.path:\n    sys.path.insert(0, project_root)\n\nlogging.basicConfig(level=logging.INFO, format='[%(asctime)s: %(levelname)s/%(name)s] %(message)s')\nlogger = logging.getLogger(\"data_process.worker_launcher\")\n\nos.environ[\"QUEUES\"] = \"{config['queue']}\"\nos.environ[\"WORKER_NAME\"] = \"{config['name']}\"\nos.environ[\"WORKER_CONCURRENCY\"] = \"{config['concurrency']}\"\n\ntry:\n    # Ensure the Celery app is discovered correctly\n    from data_process.app import app as celery_app\n    \n    logger.debug(f\"Celery app instance: {{celery_app}}\")\n    logger.debug(f\"Attempting to start worker for queue: {config['queue']}\")\n    from data_process.worker import start_worker\n    start_worker()\nexcept ImportError as e:\n    logger.error(f\"Import error: {{e}}\")\n    logger.error(f\"Python path: {{sys.path}}\")\n    logger.error(f\"Current directory: {{os.getcwd()}}\")\n    sys.exit(1)\nexcept Exception as e_exec:\n    logger.error(f\"Error executing worker: {{e_exec}}\")\n    import traceback\n    logger.error(traceback.format_exc())\n    sys.exit(1)\n                    '''  # noqa: F821\n                ]\n\n                logger.info(f\"Starting {config['name']} worker for queue: {config['queue']} with concurrency: {config['concurrency']}\")\n\n                # Get the backend directory path to ensure correct module import\n                # This should resolve to the 'backend' directory where this service script is located.\n                backend_dir = os.path.dirname(os.path.abspath(__file__))\n                if not os.path.isdir(os.path.join(backend_dir, \"data_process\")) :\n                     # if this service script itself is not in backend, but one level up\n                     possible_backend_dir = os.path.join(backend_dir, \"backend\")\n                     if os.path.isdir(os.path.join(possible_backend_dir, \"data_process\")):\n                         backend_dir = possible_backend_dir\n\n\n                # Set environment variables for the worker process\n                worker_env = os.environ.copy()\n                # Ensure REDIS_URL is correctly passed from the parent environment\n                if REDIS_URL: # Make sure it is set\n                    worker_env['REDIS_URL'] = REDIS_URL\n                else: # Default if not set. This should match your Celery app config.\n                     worker_env['REDIS_URL'] = f'redis://localhost:{self.redis_port}/0'\n\n                # Allow running as root in containerized environments\n                worker_env['C_FORCE_ROOT'] = '1'\n\n                # PYTHONPATH should point to the project root to allow nexent.data_process\n                # and also backend to allow data_process.*\n                project_root_dir = os.path.dirname(backend_dir)\n                python_path_entries = [project_root_dir, backend_dir]\n                existing_python_path = worker_env.get('PYTHONPATH')\n                if existing_python_path:\n                    python_path_entries.extend(existing_python_path.split(os.pathsep))\n                worker_env['PYTHONPATH'] = os.pathsep.join(list(dict.fromkeys(python_path_entries))) # Unique entries\n\n                logger.info(f\"Worker CWD: {backend_dir}\")\n                logger.info(f\"Worker PYTHONPATH: {worker_env['PYTHONPATH']}\")\n\n                # Start the worker process with real-time output\n                process = subprocess.Popen(\n                    worker_cmd,\n                    stdout=subprocess.PIPE,\n                    stderr=subprocess.STDOUT,\n                    text=True,\n                    bufsize=1,\n                    universal_newlines=True,\n                    cwd=backend_dir,  # Run from backend directory for module import\n                    env=worker_env  # Pass environment variables\n                )\n                \n                service_processes['workers'].append({\n                    'process': process,\n                    'name': config['name'],\n                    'queue': config['queue']\n                })\n                \n                logger.info(f\"Started {config['name']} worker with PID: {process.pid}\")\n                \n                # Start a thread to capture and log worker output\n                def log_worker_output(process, worker_name):\n                    log_mapping = {\n                        'INFO': logging.INFO,\n                        'WARNING': logging.WARNING,\n                        'ERROR': logging.ERROR,\n                        'DEBUG': logging.DEBUG,\n                        'CRITICAL': logging.CRITICAL\n                    }\n                    # Regex to capture log level and message from Celery-style logs\n                    log_pattern = re.compile(r'^\\[[^\\]]+:\\s*(?P<level>\\w+)/[^\\]]+\\]\\s*(?P<message>.*)$')\n\n                    try:\n                        for line in iter(process.stdout.readline, ''):\n                            line = line.strip()\n                            if not line:\n                                continue\n\n                            match = log_pattern.match(line)\n                            if match:\n                                level_name = match.group('level').upper()\n                                message = match.group('message')\n                                log_level = log_mapping.get(level_name, logging.INFO)\n\n                                # Only log meaningful messages\n                                if message and 'imported' not in message and 'Creating pool' not in message:\n                                    logger.log(log_level, f\"[{worker_name}] {message}\")\n                            elif 'celery@' not in line: # Filter out celery startup noise\n                                logger.info(f\"[{worker_name}] {line}\")\n                    except Exception as e:\n                        logger.warning(f\"Error in log thread for worker {worker_name}: {str(e)}\")\n                    finally:\n                        logger.debug(f\"Log thread for worker {worker_name} has terminated\")\n                \n                output_thread = threading.Thread(\n                    target=log_worker_output, \n                    args=(process, config['name']),\n                    daemon=True\n                )\n                output_thread.start()\n            \n            logger.info(\"✅ All Celery workers started successfully\")\n            return True\n            \n        except Exception as e:\n            logger.error(f\"❌ Error starting workers: {str(e)}\")\n            import traceback\n            logger.error(traceback.format_exc())\n            return False\n    \n    def start_flower(self):\n        \"\"\"Start Flower monitoring for Celery\"\"\"\n        try:\n            # Get Redis URL from environment to ensure consistency\n            redis_url = REDIS_URL\n            \n            # Get the backend directory path to ensure correct module import\n            backend_dir = os.path.dirname(os.path.abspath(__file__))\n            \n            # Set up environment variables for Flower configuration\n            flower_env = os.environ.copy()\n            flower_env.update({\n                'FLOWER_PORT': str(self.flower_port),\n                'FLOWER_BROKER_API': redis_url,\n                'FLOWER_BASIC_AUTH': 'admin:admin',\n                'FLOWER_PERSISTENT': 'True',\n                'FLOWER_DB': 'flower_db.sqlite',\n                'FLOWER_AUTO_REFRESH': 'True',\n                'FLOWER_MAX_WORKERS': '5000',\n                'FLOWER_MAX_TASKS': '10000',\n                # Add environment variables to help isolate Flower from Ray issues\n                'RAY_DISABLE_IMPORT_WARNING': '1',\n                'RAY_DEDUP_LOGS': '0',\n                'CELERY_CONFIG_MODULE': 'data_process.app'\n            })\n            \n            # Ensure PYTHONPATH includes the project root for proper module imports\n            project_root_dir = os.path.dirname(backend_dir)\n            python_path_entries = [project_root_dir, backend_dir]\n            existing_python_path = flower_env.get('PYTHONPATH')\n            if existing_python_path:\n                python_path_entries.extend(existing_python_path.split(os.pathsep))\n            flower_env['PYTHONPATH'] = os.pathsep.join(list(dict.fromkeys(python_path_entries)))\n            \n            # Use Flower command with proper app specification\n            # Try different command formats for compatibility\n            flower_cmd = [\n                sys.executable, '-m', 'celery',\n                '-A', 'data_process.app:app', 'flower',\n                '--port=' + str(self.flower_port),\n                '--broker-api=' + redis_url,\n                '--basic-auth=admin:admin',\n                '--auto-refresh=True',\n                '--max-workers=5000',\n                '--max-tasks=10000'\n            ]\n            \n            logger.debug(f\"Flower command: {' '.join(flower_cmd)}\")\n            logger.debug(f\"Flower CWD: {backend_dir}\")\n            logger.debug(f\"Flower PYTHONPATH: {flower_env['PYTHONPATH']}\")\n            logger.debug(f\"Flower REDIS_URL: {redis_url}\")\n            \n            # Platform-specific arguments for creating a new process group/session\n            # This allows us to terminate the entire process tree reliably.\n            popen_kwargs = {}\n            if sys.platform == \"win32\":\n                popen_kwargs['creationflags'] = subprocess.CREATE_NEW_PROCESS_GROUP\n            else:\n                # Use os.setsid to create a new session, making the process group leader.\n                # This is the standard way on Unix-like systems.\n                popen_kwargs['preexec_fn'] = os.setsid\n\n            process = subprocess.Popen(\n                flower_cmd,\n                stdout=subprocess.PIPE,\n                stderr=subprocess.STDOUT,\n                text=True,\n                cwd=backend_dir,  # Run from backend directory for module import\n                env=flower_env,  # Pass environment variables for configuration\n                **popen_kwargs\n            )\n            \n            service_processes['flower'] = process\n            logger.info(f\"✅ Flower monitoring started with PID: {process.pid}\")\n            \n            # Start thread to log Flower output\n            def log_flower_output():\n                log_mapping = {\n                    'INFO': logging.INFO,\n                    'WARNING': logging.WARNING,\n                    'ERROR': logging.ERROR,\n                    'DEBUG': logging.DEBUG,\n                    'CRITICAL': logging.CRITICAL\n                }\n                # Regex for Flower logs (e.g., [I 240...], or ... INFO - ...)\n                flower_pattern1 = re.compile(r'\\[([IWEFDC])\\s\\d{6}\\s\\d{2}:\\d{2}:\\d{2}\\s[^\\]]+\\]\\s*(.*)')\n                flower_pattern2 = re.compile(r'^\\S+\\s*-\\s*(INFO|WARNING|ERROR|DEBUG|CRITICAL)\\s*-\\s*(.*)')\n                level_map_short = {'I': 'INFO', 'W': 'WARNING', 'E': 'ERROR', 'D': 'DEBUG', 'C': 'CRITICAL'}\n\n                try:\n                    if process.stdout:\n                        for line in iter(process.stdout.readline, ''):\n                            clean_line = line.strip()\n                            if not clean_line:\n                                continue\n                            \n                            level_name, message = None, None\n                            match1 = flower_pattern1.match(clean_line)\n                            match2 = flower_pattern2.match(clean_line)\n\n                            if match1:\n                                level_char = match1.group(1)\n                                level_name = level_map_short.get(level_char)\n                                message = match1.group(2)\n                            elif match2:\n                                level_name = match2.group(1).upper()\n                                message = match2.group(2)\n                            \n                            if level_name and message:\n                                log_level = log_mapping.get(level_name, logging.INFO)\n                                # Filter out Ray-related error messages from Flower logs\n                                if 'ray' not in message.lower() or 'started' in message.lower():\n                                    logger.log(log_level, f\"[Flower] {message}\")\n                            elif 'ray' not in clean_line.lower() or 'started' in clean_line.lower():\n                                logger.info(f\"[Flower] {clean_line}\")\n\n                except Exception as e:\n                    logger.warning(f\"❌ Error in Flower log thread: {str(e)}\")\n                finally:\n                    logger.debug(\"🛑 Flower log thread has terminated\")\n            \n            output_thread = threading.Thread(target=log_flower_output, daemon=True)\n            output_thread.start()\n            \n            # Wait a moment to check if Flower actually started\n            time.sleep(3)\n            \n            # Check if process is still running\n            if process.poll() is not None:\n                logger.error(f\"❌ Flower process exited with return code {process.returncode}\")\n                try:\n                    if process.stdout:\n                        output = process.stdout.read()\n                        if output:\n                            logger.error(f\"❌ Flower error output: {output}\")\n                except Exception as _:\n                    pass\n                return False\n            \n            return True\n            \n        except FileNotFoundError:\n            logger.error(\"❌ Flower not found. Please install: pip install flower\")\n            logger.error(\"   Note: Use 'python -m flower' instead of 'flower' command\")\n            return False\n        except Exception as e:\n            logger.error(f\"❌ Error starting Flower: {str(e)}\")\n            import traceback\n            logger.error(traceback.format_exc())\n            return False\n    \n    def start_all_services(self):\n        \"\"\"Start all configured services\"\"\"\n        logger.info(\"🚀 Starting Data Processing Services\")\n        logger.info(\"=\" * 50)\n        \n        # Start services in specific order for proper dependencies\n        services = [\n            (\"Redis\", self.start_redis, 'start_redis'),\n            (\"Ray Cluster\", self.start_ray_cluster, 'start_ray'),\n            (\"Celery Workers\", self.start_workers, 'start_workers'),\n            (\"Flower Monitoring\", self.start_flower, 'start_flower')\n        ]\n        \n        success_count = 0\n        enabled_count = 0\n\n        logger.info(f\"📋 Effective service config: {self.config}\")\n        \n        for service_name, start_func, config_key in services:\n            if self.config.get(config_key, True):\n                enabled_count += 1\n                logger.info(f\"Starting {service_name}...\")\n                if start_func():\n                    success_count += 1\n                    \n                    # Add delay after starting workers to allow registration\n                    if service_name == \"Celery Workers\":\n                        logger.info(\"Waiting for workers to register...\")\n                        time.sleep(5)  # Give workers time to connect and register\n                    \n                else:\n                    logger.warning(f\"Failed to start {service_name}\")\n            else:\n                logger.info(f\"⏸️ {service_name} disabled\")\n        \n        logger.info(\"=\" * 50)\n        logger.info(f\"✅ Started {success_count}/{enabled_count} services successfully\")\n        \n        if success_count > 0:\n            self.log_service_info()\n        \n        return success_count == enabled_count\n    \n    def log_service_info(self):\n        \"\"\"Print information about running services\"\"\"\n        logger.info(\"\\n📋 Service Information:\")\n        logger.info(\"-\" * 30)\n        \n        logger.info(f\"🔴 Redis: {REDIS_URL}\")\n        \n        if self.config.get('start_ray', True):\n            if ray.is_initialized():\n                try:\n                    gcs_address = ray.get_runtime_context().gcs_address\n                    logger.info(f\"🔮 Ray Cluster: {gcs_address}\")\n                    if not self.config.get('disable_ray_dashboard', False):\n                        logger.info(f\"🎯 Ray Dashboard: http://localhost:{self.ray_dashboard_port}\")\n                except Exception as _:\n                    logger.info(\"🔮 Ray Cluster: Running locally\")\n            else:\n                logger.info(\"❌ Ray Cluster: Not started\")\n        \n        if self.config.get('start_workers', True):\n            logger.info(f\"👷 Workers: {len(service_processes['workers'])} processes\")\n            for worker in service_processes['workers']:\n                logger.info(f\"   - {worker['name']}: queue={worker['queue']}\")\n        \n        if self.config.get('start_flower', True):\n            logger.info(f\"🌸 Flower: http://localhost:{self.flower_port}\")\n        \n        logger.info(\"-\" * 30)\n    \n    def stop_all_services(self):\n        \"\"\"Stop all running services\"\"\"\n        if self._shutdown_called:\n            return\n        \n        self._shutdown_called = True\n        \n        logger.info(\"🛑 Stopping all services...\")\n        \n        # Stop workers first to ensure clean shutdown\n        if service_processes['workers']:\n            logger.info(\"Stopping Celery workers...\")\n            for worker_info in service_processes['workers']:\n                process = worker_info['process']\n                name = worker_info['name']\n                \n                try:\n                    if process.poll() is None:\n                        logger.info(f\"Terminating {name} worker (PID: {process.pid})\")\n                        process.terminate()\n                        \n                        try:\n                            process.wait(timeout=10)\n                            logger.info(f\"{name} worker terminated gracefully\")\n                        except subprocess.TimeoutExpired:\n                            logger.warning(f\"{name} worker didn't terminate gracefully, killing it\")\n                            process.kill()\n                            process.wait()\n                    else:\n                        logger.info(f\"{name} worker already terminated\")\n                        \n                except Exception as e:\n                    logger.error(f\"Error stopping {name} worker: {str(e)}\")\n            \n            service_processes['workers'].clear()\n            logger.info(\"All workers stopped\")\n        \n        # Stop Ray cluster BEFORE stopping Flower to avoid shutdown conflicts\n        if self._ray_cluster_started and ray.is_initialized():\n            try:\n                logger.info(\"🛑 Stopping Ray cluster...\")\n                ray.shutdown()\n                self._ray_cluster_started = False\n                service_processes['ray_cluster'] = None\n                logger.info(\"🛑 Ray cluster stopped\")\n                # Give some time for Ray to fully shutdown\n                time.sleep(1)\n            except Exception as e:\n                logger.error(f\"❌ Error stopping Ray cluster: {str(e)}\")\n        \n        # Stop Flower after Ray is shutdown to prevent conflicts\n        if service_processes['flower']:\n            process = service_processes['flower']\n            pid = process.pid\n            logger.info(f\"🛑 Stopping Flower monitoring (PID: {pid})...\")\n\n            try:\n                if process.poll() is None:  # Check if process is still running\n                    if sys.platform == \"win32\":\n                        # On Windows, send CTRL_BREAK_EVENT to the process group.\n                        logger.info(f\"Sending CTRL_BREAK_EVENT to Flower process group (PID: {pid}) on Windows.\")\n                        process.send_signal(signal.CTRL_BREAK_EVENT)\n                    else:\n                        # On Unix-like systems, send SIGTERM to the entire process group.\n                        logger.info(f\"Sending SIGTERM to Flower process group (PGID: {os.getpgid(pid)}).\")\n                        os.killpg(os.getpgid(pid), signal.SIGTERM)\n\n                    # Wait for the process to terminate\n                    try:\n                        process.wait(timeout=10)\n                        logger.info(\"✅ Flower stopped gracefully.\")\n                    except subprocess.TimeoutExpired:\n                        logger.warning(\"Flower did not terminate gracefully after 10s. Forcing kill.\")\n                        if sys.platform == \"win32\":\n                            # Use taskkill as a more forceful method to ensure the process tree is killed.\n                            logger.info(f\"Using taskkill to forcefully terminate Flower process tree (PID: {pid}).\")\n                            subprocess.run(['taskkill', '/F', '/T', '/PID', str(pid)], check=False, capture_output=True)\n                        else:\n                            # Send SIGKILL to the process group as a last resort.\n                            logger.info(f\"Sending SIGKILL to Flower process group (PGID: {os.getpgid(pid)}).\")\n                            os.killpg(os.getpgid(pid), signal.SIGKILL)\n                        \n                        process.wait(timeout=5) # Final wait\n                        logger.info(\"✅ Flower process forcefully terminated.\")\n                else:\n                    logger.info(\"✅ Flower process was already terminated.\")\n            \n            except (ProcessLookupError, OSError) as e:\n                logger.warning(f\"Could not terminate Flower process group, it may have already exited: {e}\")\n                # Fallback to killing just the main process if it's still running\n                if process.poll() is None:\n                    process.kill()\n                    logger.info(\"Fell back to killing only the main Flower process.\")\n            except Exception as e:\n                logger.error(f\"An unexpected error occurred while stopping Flower: {str(e)}\")\n                # Best-effort kill as a final fallback\n                if process.poll() is None:\n                    try:\n                        process.kill()\n                        logger.warning(\"Flower process was force-killed due to an error during shutdown.\")\n                    except Exception as final_e:\n                        logger.error(f\"Final attempt to kill Flower process failed: {final_e}\")\n            finally:\n                service_processes['flower'] = None\n        \n        # Stop Redis last\n        if service_processes['redis']:\n            try:\n                logger.info(\"Stopping Redis server...\")\n                service_processes['redis'].terminate()\n                service_processes['redis'].wait(timeout=5)\n                logger.info(\"Redis stopped\")\n            except Exception as _:\n                service_processes['redis'].kill()\n                logger.info(\"Redis force killed\")\n            service_processes['redis'] = None\n        \n        logger.info(\"✅ All services stopped\")\n\ndef parse_arguments():\n    \"\"\"Parse command line arguments\"\"\"\n    parser = argparse.ArgumentParser(\n        description=\"Data Processing Service with integrated Redis, Workers, and Monitoring\",\n        formatter_class=argparse.RawDescriptionHelpFormatter,\n        epilog=\"\"\"\nExamples:\n  python data_process_service.py                           # Start all services (Redis, Ray, Workers, Flower)\n  python data_process_service.py --disable-celery-flower   # Skip Flower monitoring\n  python data_process_service.py --disable-ray-dashboard   # Skip Ray dashboard\n  python data_process_service.py --no-ray                  # Skip Ray cluster (use external Ray)\n  python data_process_service.py --ray-dashboard-port 8266 # Use custom Ray dashboard port\n        \"\"\"\n    )\n    \n    # Service control arguments\n    parser.add_argument('--no-workers', action='store_true',\n                       help='Do not start Celery workers')\n    parser.add_argument('--no-ray', action='store_true',\n                       help='Do not start Ray cluster')\n    \n    # Port configuration\n    parser.add_argument('--redis-port', type=int, default=REDIS_PORT,\n                       help='Redis server port (default: env REDIS_PORT or 6379)')\n    parser.add_argument('--flower-port', type=int, default=FLOWER_PORT,\n                       help='Flower monitoring port (default: env FLOWER_PORT or 5555)')\n    parser.add_argument('--ray-dashboard-port', type=int, default=RAY_DASHBOARD_PORT,\n                       help='Ray dashboard port (default: env RAY_DASHBOARD_PORT or 8265)')\n    \n    # Dashboard / monitoring disable flags\n    parser.add_argument('--disable-ray-dashboard', action='store_true',\n                       help='Disable Ray dashboard if this flag is present.')\n    parser.add_argument('--disable-celery-flower', action='store_true',\n                       help='Disable Celery Flower monitoring if this flag is present.')\n    \n    # API server configuration\n    parser.add_argument('--api-host', default='0.0.0.0',\n                       help='API server host (default: 0.0.0.0)')\n    parser.add_argument('--api-port', type=int, default=5012,\n                       help='API server port (default: 5012)')\n    \n    return parser.parse_args()\n\ndef signal_handler(signum, frame):\n    \"\"\"Handle shutdown signals\"\"\"\n    logger.info(f\"Received signal {signum}, initiating graceful shutdown...\")\n    \n    # Prevent multiple signal handling\n    if 'service_manager' in globals() and service_manager and not service_manager._shutdown_called:\n        try:\n            service_manager.stop_all_services()\n            logger.info(\"Graceful shutdown completed\")\n        except Exception as e:\n            logger.error(f\"Error during shutdown: {str(e)}\")\n            # Force exit if graceful shutdown fails\n            logger.info(\"Forcing exit due to shutdown error\")\n            os._exit(1)\n    \n    sys.exit(0)\n\n# Register signal handlers for graceful shutdown\nsignal.signal(signal.SIGTERM, signal_handler)\nsignal.signal(signal.SIGINT, signal_handler)\n\n# Global service manager for cleanup\nservice_manager = None\n\n@asynccontextmanager\nasync def lifespan(app: FastAPI):\n    \"\"\"FastAPI lifespan event handler for startup and shutdown\"\"\"\n    global service_manager\n    \n    # Startup\n    logger.info(\"Starting data processing service...\")\n    \n    yield\n    \n    # Shutdown\n    logger.info(\"Shutting down data processing service...\")\n    if service_manager and not service_manager._shutdown_called:\n        service_manager.stop_all_services()\n    logger.info(\"Data processing service shutdown complete\")\n\ndef create_app():\n    \"\"\"Create FastAPI application\"\"\"\n    # Lazy import router to avoid overhead during module initialization\n    from apps.data_process_app import router as data_process_router\n    \n    app = FastAPI(root_path=\"/api\", lifespan=lifespan)\n    app.include_router(data_process_router)\n    return app\n\ndef main():\n    \"\"\"Main entry point\"\"\"\n    global service_manager\n    \n    # Parse command line arguments\n    args = parse_arguments()\n    \n    # Create service configuration\n    config = {\n        'start_workers': not args.no_workers,\n        'start_flower': not args.disable_celery_flower,\n        'start_ray': not args.no_ray,\n        'disable_ray_dashboard': args.disable_ray_dashboard,\n        'redis_port': args.redis_port,\n        'flower_port': args.flower_port,\n        'ray_dashboard_port': args.ray_dashboard_port,\n    }\n    \n    # Create service manager\n    service_manager = ServiceManager(config)\n    \n    # Note: Using lifespan and signal handlers for cleanup instead of atexit\n    # to avoid multiple cleanup calls\n    \n    try:\n        # Start all configured services\n        service_manager.start_all_services()\n        \n        # Create and start FastAPI app\n        app = create_app()\n        \n        logger.info(f\"🌐 Starting API server on {args.api_host}:{args.api_port}\")\n        uvicorn.run(\n            app, \n            host=args.api_host,\n            port=args.api_port,\n            log_level=\"warning\"\n        )\n        \n    except KeyboardInterrupt:\n        logger.info(\"Received keyboard interrupt, shutting down...\")\n    except Exception as e:\n        logger.error(f\"Error starting service: {str(e)}\")\n        sys.exit(1)\n    finally:\n        if service_manager and not service_manager._shutdown_called:\n            service_manager.stop_all_services()\n\nif __name__ == \"__main__\":\n    main()\n"
  },
  {
    "path": "backend/database/__init__.py",
    "content": ""
  },
  {
    "path": "backend/database/agent_db.py",
    "content": "import logging\nfrom typing import List\nfrom sqlalchemy import update\n\nfrom database.client import get_db_session, as_dict, filter_property\nfrom database.db_models import AgentInfo, ToolInstance, AgentRelation\nfrom utils.str_utils import convert_list_to_string\n\nlogger = logging.getLogger(\"agent_db\")\n\n\ndef search_agent_info_by_agent_id(agent_id: int, tenant_id: str, version_no: int = 0):\n    \"\"\"\n    Search agent info by agent_id.\n    Default version_no=0 queries the draft version.\n\n    Args:\n        agent_id: Agent ID\n        tenant_id: Tenant ID\n        version_no: Version number to filter. Default 0 = draft/editing state\n    \"\"\"\n    with get_db_session() as session:\n        agent = session.query(AgentInfo).filter(\n            AgentInfo.agent_id == agent_id,\n            AgentInfo.tenant_id == tenant_id,\n            AgentInfo.version_no == version_no,\n            AgentInfo.delete_flag != 'Y'\n        ).first()\n\n        if not agent:\n            raise ValueError(\"agent not found\")\n\n        agent_dict = as_dict(agent)\n\n        return agent_dict\n\n\ndef search_agent_id_by_agent_name(agent_name: str, tenant_id: str, version_no: int = 0):\n    \"\"\"\n    Search agent id by agent name.\n    Default version_no=0 queries the draft version.\n\n    Args:\n        agent_name: Agent name\n        tenant_id: Tenant ID\n        version_no: Version number to filter. Default 0 = draft/editing state\n    \"\"\"\n    with get_db_session() as session:\n        agent = session.query(AgentInfo).filter(\n            AgentInfo.name == agent_name,\n            AgentInfo.tenant_id == tenant_id,\n            AgentInfo.version_no == version_no,\n            AgentInfo.delete_flag != 'Y').first()\n        if not agent:\n            raise ValueError(\"agent not found\")\n        return agent.agent_id\n\n\ndef search_blank_sub_agent_by_main_agent_id(tenant_id: str, version_no: int = 0):\n    \"\"\"\n    Search blank sub agent by main agent id.\n    Default version_no=0 queries the draft version.\n\n    Args:\n        tenant_id: Tenant ID\n        version_no: Version number to filter. Default 0 = draft/editing state\n    \"\"\"\n    with get_db_session() as session:\n        sub_agent = session.query(AgentInfo).filter(\n            AgentInfo.tenant_id == tenant_id,\n            AgentInfo.version_no == version_no,\n            AgentInfo.delete_flag != 'Y',\n            AgentInfo.enabled == False\n        ).first()\n        if sub_agent:\n            return sub_agent.agent_id\n        else:\n            return None\n\n\ndef query_sub_agents_id_list(main_agent_id: int, tenant_id: str, version_no: int = 0):\n    \"\"\"\n    Query the sub agent id list by main agent id.\n    Default version_no=0 queries the draft version.\n\n    Args:\n        main_agent_id: Parent agent ID\n        tenant_id: Tenant ID\n        version_no: Version number to filter. Default 0 = draft/editing state\n    \"\"\"\n    with get_db_session() as session:\n        query = session.query(AgentRelation).filter(\n            AgentRelation.parent_agent_id == main_agent_id,\n            AgentRelation.tenant_id == tenant_id,\n            AgentRelation.version_no == version_no,\n            AgentRelation.delete_flag != 'Y')\n        relations = query.all()\n        return [relation.selected_agent_id for relation in relations]\n\n\ndef clear_agent_new_mark(agent_id: int, tenant_id: str, user_id: str, version_no: int = 0):\n    \"\"\"\n    Clear the NEW mark for an agent.\n    This clears the NEW mark for ALL versions of the agent, regardless of version_no parameter.\n\n    Args:\n        agent_id (int): Agent ID\n        tenant_id (str): Tenant ID\n        user_id (str): User ID (for audit purposes)\n        version_no: Version number (kept for API compatibility, but always clears all versions)\n    \"\"\"\n    with get_db_session() as session:\n        # Clear NEW mark for ALL versions of this agent\n        result = session.execute(\n            update(AgentInfo)\n            .where(\n                AgentInfo.agent_id == agent_id,\n                AgentInfo.tenant_id == tenant_id,\n                AgentInfo.delete_flag == 'N'\n            )\n            .values(is_new=False, updated_by=user_id)\n        )\n        # return number of rows affected\n        return result.rowcount\n\n\ndef mark_agents_as_new(agent_ids: list[int], tenant_id: str, user_id: str, version_no: int = 0):\n    \"\"\"\n    Mark a list of agents as new.\n    This marks ALL versions of the specified agents as new, regardless of version_no parameter.\n\n    Args:\n        agent_ids: List of Agent IDs\n        tenant_id: Tenant ID\n        user_id: User ID\n        version_no: Version number (kept for API compatibility, but always marks all versions)\n    \"\"\"\n    if not agent_ids:\n        return\n    with get_db_session() as session:\n        session.execute(\n            update(AgentInfo)\n            .where(\n                AgentInfo.agent_id.in_(agent_ids),\n                AgentInfo.tenant_id == tenant_id,\n                AgentInfo.delete_flag == 'N'\n            )\n            .values(is_new=True, updated_by=user_id)\n        )\n\n\ndef create_agent(agent_info, tenant_id: str, user_id: str):\n    \"\"\"\n    Create a new agent in the database (draft version, version_no=0).\n    :param agent_info: Dictionary containing agent information\n    :param tenant_id:\n    :param user_id:\n    :return: Created agent object\n    \"\"\"\n    info_with_metadata = dict(agent_info)\n    info_with_metadata.setdefault(\"max_steps\", 5)\n    info_with_metadata.update({\n        \"tenant_id\": tenant_id,\n        \"version_no\": 0,  # Default to draft version\n        \"created_by\": user_id,\n        \"updated_by\": user_id,\n        \"is_new\": True,  # Mark new agents as new\n    })\n    with get_db_session() as session:\n        new_agent = AgentInfo(**filter_property(info_with_metadata, AgentInfo))\n        new_agent.delete_flag = 'N'\n        session.add(new_agent)\n        session.flush()\n\n        # Directly extract agent_id and return as dict\n        result = {\n            \"agent_id\": new_agent.agent_id,\n            \"tenant_id\": new_agent.tenant_id,\n            \"name\": new_agent.name,\n            \"display_name\": new_agent.display_name,\n            \"description\": new_agent.description,\n            \"author\": new_agent.author,\n            \"model_id\": new_agent.model_id,\n            \"model_name\": new_agent.model_name,\n            \"max_steps\": new_agent.max_steps,\n            \"duty_prompt\": new_agent.duty_prompt,\n            \"constraint_prompt\": new_agent.constraint_prompt,\n            \"few_shots_prompt\": new_agent.few_shots_prompt,\n            \"parent_agent_id\": new_agent.parent_agent_id,\n            \"enabled\": new_agent.enabled,\n            \"provide_run_summary\": new_agent.provide_run_summary,\n            \"business_description\": new_agent.business_description,\n            \"business_logic_model_id\": new_agent.business_logic_model_id,\n            \"business_logic_model_name\": new_agent.business_logic_model_name,\n            \"group_ids\": new_agent.group_ids,\n            \"is_new\": new_agent.is_new,\n            \"current_version_no\": new_agent.current_version_no,\n            \"version_no\": new_agent.version_no,\n            \"created_by\": new_agent.created_by,\n            \"updated_by\": new_agent.updated_by,\n            \"delete_flag\": new_agent.delete_flag,\n        }\n        return result\n\n\ndef update_agent(agent_id, agent_info, user_id, version_no: int = 0):\n    \"\"\"\n    Update an existing agent in the database.\n    Default version_no=0 updates the draft version.\n\n    Args:\n        agent_id: ID of the agent to update\n        agent_info: Dictionary containing updated agent information\n        tenant_id: Tenant ID\n        user_id: Optional user ID\n        version_no: Version number to filter. Default 0 = draft/editing state\n    Returns:\n        Updated agent object\n    \"\"\"\n    with (get_db_session() as session):\n        # update ag_tenant_agent_t\n        agent = session.query(AgentInfo).filter(\n            AgentInfo.agent_id == agent_id,\n            AgentInfo.version_no == version_no,\n            AgentInfo.delete_flag != 'Y'\n        ).first()\n        if not agent:\n            raise ValueError(\"ag_tenant_agent_t Agent not found\")\n\n        for key, value in filter_property(agent_info.__dict__, AgentInfo).items():\n            if value is None:\n                continue\n            if key == \"group_ids\":\n                value = convert_list_to_string(value)\n            setattr(agent, key, value)\n        agent.updated_by = user_id\n\n\ndef delete_agent_by_id(agent_id, tenant_id: str, user_id: str):\n    \"\"\"\n    Delete an agent in the database (all versions).\n    :param agent_id: ID of the agent to delete\n    :param tenant_id: Tenant ID for filtering, mandatory\n    :param user_id: Optional user ID for filtering\n    :return: None\n    \"\"\"\n    from sqlalchemy import update as sqlalchemy_update\n\n    with get_db_session() as session:\n        # Soft delete all agent versions (version_no >= 0)\n        session.execute(\n            sqlalchemy_update(AgentInfo)\n            .where(\n                AgentInfo.agent_id == agent_id,\n                AgentInfo.tenant_id == tenant_id\n            )\n            .values(delete_flag='Y', updated_by=user_id)\n        )\n        # Soft delete all tool instances (all versions)\n        session.execute(\n            sqlalchemy_update(ToolInstance)\n            .where(\n                ToolInstance.agent_id == agent_id,\n                ToolInstance.tenant_id == tenant_id\n            )\n            .values(delete_flag='Y', updated_by=user_id)\n        )\n\n\ndef query_all_agent_info_by_tenant_id(tenant_id: str, version_no: int = 0):\n    \"\"\"\n    Query all agent info by tenant id.\n    Default version_no=0 queries all draft versions.\n\n    Args:\n        tenant_id: Tenant ID\n        version_no: Version number to filter. Default 0 = draft/editing state\n    \"\"\"\n    with get_db_session() as session:\n        agents = session.query(AgentInfo).filter(\n            AgentInfo.tenant_id == tenant_id,\n            AgentInfo.version_no == version_no,\n            AgentInfo.delete_flag != 'Y'\n        ).order_by(AgentInfo.create_time.desc()).all()\n        return [as_dict(agent) for agent in agents]\n\n\ndef insert_related_agent(parent_agent_id: int, child_agent_id: int, tenant_id: str, user_id: str, version_no: int = 0) -> bool:\n    \"\"\"\n    Insert a related agent.\n    Default version_no=0 creates the draft version.\n\n    Args:\n        parent_agent_id: Parent agent ID\n        child_agent_id: Child agent ID\n        tenant_id: Tenant ID\n        user_id: User ID\n        version_no: Version number. Default 0 = draft/editing state\n    \"\"\"\n    try:\n        relation_info = {\n            \"parent_agent_id\": parent_agent_id,\n            \"selected_agent_id\": child_agent_id,\n            \"tenant_id\": tenant_id,\n            \"version_no\": version_no,\n            \"created_by\": user_id,\n            \"updated_by\": user_id\n        }\n        with get_db_session() as session:\n            new_relation = AgentRelation(\n                **filter_property(relation_info, AgentRelation))\n            session.add(new_relation)\n            session.flush()\n            return True\n    except Exception as e:\n        logger.error(f\"Failed to insert related agent: {str(e)}\")\n        return False\n\n\ndef delete_related_agent(parent_agent_id: int, child_agent_id: int, tenant_id: str, user_id: str, version_no: int = 0) -> bool:\n    \"\"\"\n    Delete a related agent.\n    Default version_no=0 deletes the draft version.\n\n    Args:\n        parent_agent_id: Parent agent ID\n        child_agent_id: Child agent ID\n        tenant_id: Tenant ID\n        user_id: User ID\n        version_no: Version number to filter. Default 0 = draft/editing state\n    \"\"\"\n    try:\n        with get_db_session() as session:\n            session.query(AgentRelation).filter(\n                AgentRelation.parent_agent_id == parent_agent_id,\n                AgentRelation.selected_agent_id == child_agent_id,\n                AgentRelation.tenant_id == tenant_id,\n                AgentRelation.version_no == version_no\n            ).update(\n                {AgentRelation.delete_flag: 'Y', 'updated_by': user_id})\n            return True\n    except Exception as e:\n        logger.error(f\"Failed to delete related agent: {str(e)}\")\n        return False\n\n\ndef update_related_agents(parent_agent_id: int, related_agent_ids: List[int], tenant_id: str, user_id: str, version_no: int = 0):\n    \"\"\"\n    Update related agents for a parent agent by replacing all existing relations.\n    Default version_no=0 updates the draft version.\n\n    This function handles both creation and deletion of relations in a single transaction.\n\n    Args:\n        parent_agent_id: ID of the parent agent\n        related_agent_ids: List of child agent IDs to be related\n        tenant_id: Tenant ID\n        user_id: User ID for audit trail\n        version_no: Version number to filter. Default 0 = draft/editing state\n    \"\"\"\n    with get_db_session() as session:\n        # Get current relations\n        current_relations = session.query(AgentRelation).filter(\n            AgentRelation.parent_agent_id == parent_agent_id,\n            AgentRelation.tenant_id == tenant_id,\n            AgentRelation.version_no == version_no,\n            AgentRelation.delete_flag != 'Y'\n        ).all()\n\n        current_related_ids = {\n            rel.selected_agent_id for rel in current_relations}\n        new_related_ids = set(\n            related_agent_ids) if related_agent_ids else set()\n\n        # Find IDs to delete (in current but not in new)\n        ids_to_delete = current_related_ids - new_related_ids\n        # Find IDs to add (in new but not in current)\n        ids_to_add = new_related_ids - current_related_ids\n\n        # Soft delete removed relations\n        if ids_to_delete:\n            session.query(AgentRelation).filter(\n                AgentRelation.parent_agent_id == parent_agent_id,\n                AgentRelation.selected_agent_id.in_(ids_to_delete),\n                AgentRelation.tenant_id == tenant_id,\n                AgentRelation.version_no == version_no\n            ).update(\n                {AgentRelation.delete_flag: 'Y', 'updated_by': user_id},\n                synchronize_session=False\n            )\n\n        # Add new relations\n        for child_agent_id in ids_to_add:\n            relation_info = {\n                \"parent_agent_id\": parent_agent_id,\n                \"selected_agent_id\": child_agent_id,\n                \"tenant_id\": tenant_id,\n                \"version_no\": version_no,\n                \"created_by\": user_id,\n                \"updated_by\": user_id\n            }\n            new_relation = AgentRelation(\n                **filter_property(relation_info, AgentRelation))\n            session.add(new_relation)\n\n\ndef delete_agent_relationship(agent_id: int, tenant_id: str, user_id: str, version_no: int = 0):\n    \"\"\"\n    Delete all relationships for an agent.\n    Default version_no=0 deletes the draft version.\n\n    Args:\n        agent_id: Agent ID\n        tenant_id: Tenant ID\n        user_id: User ID\n        version_no: Version number to filter. Default 0 = draft/editing state\n    \"\"\"\n    with get_db_session() as session:\n        session.query(AgentRelation).filter(\n            AgentRelation.parent_agent_id == agent_id,\n            AgentRelation.tenant_id == tenant_id,\n            AgentRelation.version_no == version_no\n        ).update(\n            {AgentRelation.delete_flag: 'Y', 'updated_by': user_id})\n        session.query(AgentRelation).filter(\n            AgentRelation.selected_agent_id == agent_id,\n            AgentRelation.tenant_id == tenant_id,\n            AgentRelation.version_no == version_no\n        ).update(\n            {AgentRelation.delete_flag: 'Y', 'updated_by': user_id})\n"
  },
  {
    "path": "backend/database/agent_version_db.py",
    "content": "import logging\nfrom typing import List, Optional, Tuple\nfrom sqlalchemy import select, insert, update, func\n\nfrom database.client import get_db_session, as_dict\nfrom database.db_models import AgentInfo, ToolInstance, AgentRelation, AgentVersion\n\nlogger = logging.getLogger(\"agent_version_db\")\n\n# Version source types\nSOURCE_TYPE_NORMAL = \"NORMAL\"\nSOURCE_TYPE_ROLLBACK = \"ROLLBACK\"\n\n# Version statuses\nSTATUS_RELEASED = \"RELEASED\"\nSTATUS_DISABLED = \"DISABLED\"\nSTATUS_ARCHIVED = \"ARCHIVED\"\n\n\ndef search_version_by_version_no(\n    agent_id: int,\n    tenant_id: str,\n    version_no: int,\n) -> Optional[dict]:\n    \"\"\"\n    Search version metadata by version_no\n    \"\"\"\n    with get_db_session() as session:\n        version = session.query(AgentVersion).filter(\n            AgentVersion.agent_id == agent_id,\n            AgentVersion.tenant_id == tenant_id,\n            AgentVersion.version_no == version_no,\n            AgentVersion.delete_flag == 'N',\n        ).first()\n        return as_dict(version) if version else None\n\n\ndef search_version_by_id(\n    version_id: int,\n    tenant_id: str,\n) -> Optional[dict]:\n    \"\"\"\n    Search version metadata by id\n    \"\"\"\n    with get_db_session() as session:\n        version = session.query(AgentVersion).filter(\n            AgentVersion.id == version_id,\n            AgentVersion.tenant_id == tenant_id,\n            AgentVersion.delete_flag == 'N',\n        ).first()\n        return as_dict(version) if version else None\n\ndef query_version_list(\n    agent_id: int,\n    tenant_id: str,\n) -> List[dict]:\n    \"\"\"\n    Query version list for an agent\n    \"\"\"\n    with get_db_session() as session:\n        versions = session.query(AgentVersion).filter(\n            AgentVersion.agent_id == agent_id,\n            AgentVersion.tenant_id == tenant_id,\n            AgentVersion.delete_flag == 'N',\n        ).order_by(AgentVersion.version_no.desc()).all()\n\n        return [as_dict(v) for v in versions]\n\n\ndef query_current_version_no(\n    agent_id: int,\n    tenant_id: str,\n) -> Optional[int]:\n    \"\"\"\n    Query current published version_no from agent draft (version_no=0)\n    \"\"\"\n    with get_db_session() as session:\n        agent = session.query(AgentInfo).filter(\n            AgentInfo.agent_id == agent_id,\n            AgentInfo.tenant_id == tenant_id,\n            AgentInfo.version_no == 0,\n            AgentInfo.delete_flag == 'N',\n        ).first()\n        return agent.current_version_no if agent else None\n\n\ndef query_agent_snapshot(\n    agent_id: int,\n    tenant_id: str,\n    version_no: int,\n) -> Tuple[Optional[dict], List[dict], List[dict]]:\n    \"\"\"\n    Query agent snapshot data (agent_info, tools, relations) for a specific version\n    \"\"\"\n    with get_db_session() as session:\n        # Query agent info snapshot\n        agent = session.query(AgentInfo).filter(\n            AgentInfo.agent_id == agent_id,\n            AgentInfo.tenant_id == tenant_id,\n            AgentInfo.version_no == version_no,\n            AgentInfo.delete_flag == 'N',\n        ).first()\n\n        # Query tool instances snapshot\n        tools = session.query(ToolInstance).filter(\n            ToolInstance.agent_id == agent_id,\n            ToolInstance.tenant_id == tenant_id,\n            ToolInstance.version_no == version_no,\n            ToolInstance.delete_flag == 'N',\n        ).all()\n\n        # Query relations snapshot\n        relations = session.query(AgentRelation).filter(\n            AgentRelation.parent_agent_id == agent_id,\n            AgentRelation.tenant_id == tenant_id,\n            AgentRelation.version_no == version_no,\n            AgentRelation.delete_flag == 'N',\n        ).all()\n\n        agent_dict = as_dict(agent) if agent else None\n        tools_list = [as_dict(t) for t in tools]\n        relations_list = [as_dict(r) for r in relations]\n\n        return agent_dict, tools_list, relations_list\n\n\ndef query_agent_draft(\n    agent_id: int,\n    tenant_id: str,\n) -> Tuple[Optional[dict], List[dict], List[dict]]:\n    \"\"\"\n    Query agent draft data (version_no=0)\n    \"\"\"\n    return query_agent_snapshot(agent_id, tenant_id, version_no=0)\n\n\ndef insert_version(\n    version_data: dict,\n) -> int:\n    \"\"\"\n    Insert a new version metadata record\n    Returns: version id\n    \"\"\"\n    with get_db_session() as session:\n        result = session.execute(\n            insert(AgentVersion).values(**version_data).returning(AgentVersion.id)\n        )\n        return result.scalar_one()\n\n\ndef update_version_status(\n    agent_id: int,\n    tenant_id: str,\n    version_no: int,\n    status: str,\n    updated_by: str,\n) -> int:\n    \"\"\"\n    Update version status\n    Returns: number of rows affected\n    \"\"\"\n    with get_db_session() as session:\n        result = session.execute(\n            update(AgentVersion)\n            .where(\n                AgentVersion.agent_id == agent_id,\n                AgentVersion.tenant_id == tenant_id,\n                AgentVersion.version_no == version_no,\n                AgentVersion.delete_flag == 'N',\n            )\n            .values(status=status, updated_by=updated_by, update_time=func.now())\n        )\n        return result.rowcount\n\n\ndef update_version(\n    agent_id: int,\n    tenant_id: str,\n    version_no: int,\n    version_name: Optional[str] = None,\n    release_note: Optional[str] = None,\n    updated_by: Optional[str] = None,\n) -> int:\n    \"\"\"\n    Update version metadata (version_name and release_note)\n    Returns: number of rows affected\n    \"\"\"\n    # Build update values dynamically\n    update_values = {}\n    if version_name is not None:\n        update_values[\"version_name\"] = version_name\n    if release_note is not None:\n        update_values[\"release_note\"] = release_note\n    if updated_by is not None:\n        update_values[\"updated_by\"] = updated_by\n\n    if not update_values:\n        return 0\n\n    update_values[\"update_time\"] = func.now()\n\n    with get_db_session() as session:\n        result = session.execute(\n            update(AgentVersion)\n            .where(\n                AgentVersion.agent_id == agent_id,\n                AgentVersion.tenant_id == tenant_id,\n                AgentVersion.version_no == version_no,\n                AgentVersion.delete_flag == 'N',\n            )\n            .values(**update_values)\n        )\n        return result.rowcount\n\n\ndef update_agent_current_version(\n    agent_id: int,\n    tenant_id: str,\n    current_version_no: int,\n) -> int:\n    \"\"\"\n    Update agent draft's current_version_no\n    Returns: number of rows affected\n    \"\"\"\n    with get_db_session() as session:\n        result = session.execute(\n            update(AgentInfo)\n            .where(\n                AgentInfo.agent_id == agent_id,\n                AgentInfo.tenant_id == tenant_id,\n                AgentInfo.version_no == 0,\n                AgentInfo.delete_flag == 'N',\n            )\n            .values(current_version_no=current_version_no)\n        )\n        return result.rowcount\n\n\ndef insert_agent_snapshot(\n    agent_data: dict,\n) -> None:\n    \"\"\"\n    Insert agent snapshot (copy from draft to new version)\n    \"\"\"\n    with get_db_session() as session:\n        session.execute(insert(AgentInfo).values(**agent_data))\n\n\ndef insert_tool_snapshot(\n    tool_data: dict,\n) -> None:\n    \"\"\"\n    Insert tool instance snapshot\n    \"\"\"\n    with get_db_session() as session:\n        session.execute(insert(ToolInstance).values(**tool_data))\n\n\ndef insert_relation_snapshot(\n    relation_data: dict,\n) -> None:\n    \"\"\"\n    Insert relation snapshot\n    \"\"\"\n    with get_db_session() as session:\n        session.execute(insert(AgentRelation).values(**relation_data))\n\n\ndef update_agent_snapshot(\n    agent_id: int,\n    tenant_id: str,\n    version_no: int,\n    agent_data: dict,\n) -> int:\n    \"\"\"\n    Update agent snapshot data (used for rollback restore)\n    Returns: number of rows affected\n    \"\"\"\n    with get_db_session() as session:\n        result = session.execute(\n            update(AgentInfo)\n            .where(\n                AgentInfo.agent_id == agent_id,\n                AgentInfo.tenant_id == tenant_id,\n                AgentInfo.version_no == version_no,\n                AgentInfo.delete_flag == 'N',\n            )\n            .values(**agent_data)\n        )\n        return result.rowcount\n\n\ndef delete_agent_snapshot(\n    agent_id: int,\n    tenant_id: str,\n    version_no: int,\n    deleted_by: str,\n) -> int:\n    \"\"\"\n    Soft delete agent snapshot for a version\n    Returns: number of rows affected\n    \"\"\"\n    with get_db_session() as session:\n        result = session.execute(\n            update(AgentInfo)\n            .where(\n                AgentInfo.agent_id == agent_id,\n                AgentInfo.tenant_id == tenant_id,\n                AgentInfo.version_no == version_no,\n                AgentInfo.delete_flag == 'N',\n            )\n            .values(delete_flag='Y', updated_by=deleted_by, update_time=func.now())\n        )\n        return result.rowcount\n\n\ndef delete_tool_snapshot(\n    agent_id: int,\n    tenant_id: str,\n    version_no: int,\n    deleted_by: str = None,\n) -> int:\n    \"\"\"\n    Delete all tool snapshots for a version (used before restoring from rollback)\n    Returns: number of rows affected\n    \"\"\"\n    with get_db_session() as session:\n        values = {'delete_flag': 'Y'}\n        if deleted_by:\n            values['updated_by'] = deleted_by\n            values['update_time'] = func.now()\n        result = session.execute(\n            update(ToolInstance)\n            .where(\n                ToolInstance.agent_id == agent_id,\n                ToolInstance.tenant_id == tenant_id,\n                ToolInstance.version_no == version_no,\n                ToolInstance.delete_flag == 'N',\n            )\n            .values(**values)\n        )\n        return result.rowcount\n\n\ndef delete_relation_snapshot(\n    agent_id: int,\n    tenant_id: str,\n    version_no: int,\n    deleted_by: str = None,\n) -> int:\n    \"\"\"\n    Delete all relation snapshots for a version (used before restoring from rollback)\n    Returns: number of rows affected\n    \"\"\"\n    with get_db_session() as session:\n        values = {'delete_flag': 'Y'}\n        if deleted_by:\n            values['updated_by'] = deleted_by\n            values['update_time'] = func.now()\n        result = session.execute(\n            update(AgentRelation)\n            .where(\n                AgentRelation.parent_agent_id == agent_id,\n                AgentRelation.tenant_id == tenant_id,\n                AgentRelation.version_no == version_no,\n                AgentRelation.delete_flag == 'N',\n            )\n            .values(**values)\n        )\n        return result.rowcount\n\n\ndef get_next_version_no(\n    agent_id: int,\n    tenant_id: str,\n) -> int:\n    \"\"\"\n    Calculate the next version number for an agent\n    \"\"\"\n    with get_db_session() as session:\n        max_version = session.query(func.max(AgentInfo.version_no)).filter(\n            AgentInfo.agent_id == agent_id,\n            AgentInfo.tenant_id == tenant_id,\n            AgentInfo.delete_flag == 'N',\n        ).scalar()\n        return (max_version or 0) + 1\n\n\ndef delete_version(\n    agent_id: int,\n    tenant_id: str,\n    version_no: int,\n    deleted_by: str,\n) -> int:\n    \"\"\"\n    Soft delete a version by setting delete_flag='Y'\n    Returns: number of rows affected\n    \"\"\"\n    with get_db_session() as session:\n        logger.info(f\"Attempting to delete version: agent_id={agent_id}, tenant_id={tenant_id}, version_no={version_no}, deleted_by={deleted_by}\")\n        result = session.execute(\n            update(AgentVersion)\n            .where(\n                AgentVersion.agent_id == agent_id,\n                AgentVersion.tenant_id == tenant_id,\n                AgentVersion.version_no == version_no,\n                AgentVersion.delete_flag == 'N',\n            )\n            .values(delete_flag='Y', updated_by=deleted_by, update_time=func.now())\n        )\n        rows_affected = result.rowcount\n        logger.info(f\"Delete version result: rows_affected={rows_affected} for agent_id={agent_id}, tenant_id={tenant_id}, version_no={version_no}\")\n        return rows_affected"
  },
  {
    "path": "backend/database/attachment_db.py",
    "content": "import io\nimport os\nimport uuid\nfrom datetime import datetime\nfrom typing import Any, BinaryIO, Dict, List, Optional\n\nfrom .client import minio_client\n\n\ndef generate_object_name(file_name: str, prefix: str = \"attachments\") -> str:\n    \"\"\"\n    Generate a unique object name\n\n    Args:\n        file_name: Original file name\n        prefix: Object name prefix\n\n    Returns:\n        str: Generated object name\n    \"\"\"\n    # Get file extension\n    _, ext = os.path.splitext(file_name)\n    # Generate unique ID\n    unique_id = uuid.uuid4().hex\n    # Generate timestamp\n    timestamp = datetime.now().strftime(\"%Y%m%d%H%M%S\")\n    # Combine object name\n    return f\"{prefix}/{timestamp}_{unique_id}{ext}\"\n\n\ndef upload_file(file_path: str, object_name: Optional[str] = None, bucket: Optional[str] = None) -> Dict[str, Any]:\n    \"\"\"\n    Upload local file to MinIO\n\n    Args:\n        file_path: Local file path\n        object_name: Object name, if not specified will be auto-generated\n        bucket: Bucket name, if not specified will use default bucket\n\n    Returns:\n        Dict[str, Any]: Upload result, containing success flag, URL and error message (if any)\n    \"\"\"\n    # If object name not specified, generate one\n    if object_name is None:\n        file_name = os.path.basename(file_path)\n        object_name = generate_object_name(file_name)\n\n    # Upload file\n    success, result = minio_client.upload_file(file_path, object_name, bucket)\n\n    # Build response\n    response = {\"success\": success, \"object_name\": object_name, \"file_name\": os.path.basename(file_path),\n                \"file_size\": os.path.getsize(file_path) if os.path.exists(file_path) else 0,\n                \"content_type\": get_content_type(file_path), \"upload_time\": datetime.now().isoformat()}\n\n    if success:\n        response[\"url\"] = result\n    else:\n        response[\"error\"] = result\n\n    return response\n\n\ndef upload_fileobj(\n        file_obj: BinaryIO,\n        file_name: str,\n        bucket: Optional[str] = None,\n        prefix: str = \"attachments\"\n) -> Dict[str, Any]:\n    \"\"\"\n    Upload file object to MinIO\n\n    Args:\n        file_obj: File object\n        file_name: File name\n        bucket: Bucket name, if not specified will use default bucket\n        prefix: Object name prefix, default is \"attachments\"\n\n    Returns:\n        Dict[str, Any]: Upload result, containing success flag, URL and error message (if any)\n    \"\"\"\n    # Generate object name\n    object_name = generate_object_name(file_name, prefix=prefix)\n\n    # Get current position\n    current_pos = file_obj.tell()\n\n    # Calculate file size\n    file_obj.seek(0, os.SEEK_END)\n    file_size = file_obj.tell()\n\n    # Reset to original position\n    file_obj.seek(current_pos)\n\n    # Upload file\n    success, result = minio_client.upload_fileobj(\n        file_obj, object_name, bucket)\n\n    # Build response\n    response = {\"success\": success, \"object_name\": object_name, \"file_name\": file_name, \"file_size\": file_size,\n                \"content_type\": get_content_type(file_name), \"upload_time\": datetime.now().isoformat()}\n\n    if success:\n        response[\"url\"] = result\n    else:\n        response[\"error\"] = result\n\n    return response\n\n\ndef download_file(object_name: str, file_path: str, bucket: Optional[str] = None) -> Dict[str, Any]:\n    \"\"\"\n    Download file from MinIO to local\n\n    Args:\n        object_name: Object name\n        file_path: Local save path\n        bucket: Bucket name, if not specified will use default bucket\n\n    Returns:\n        Dict[str, Any]: Download result, containing success flag and error message (if any)\n    \"\"\"\n    # Download file\n    success, result = minio_client.download_file(\n        object_name, file_path, bucket)\n\n    # Build response\n    response = {\"success\": success,\n                \"object_name\": object_name, \"file_path\": file_path}\n\n    if not success:\n        response[\"error\"] = result\n\n    return response\n\n\ndef get_file_url(object_name: str, bucket: Optional[str] = None, expires: int = 3600) -> Dict[str, Any]:\n    \"\"\"\n    Get presigned URL for file\n\n    Args:\n        object_name: Object name\n        bucket: Bucket name, if not specified will use default bucket\n        expires: URL expiration time in seconds\n\n    Returns:\n        Dict[str, Any]: Result containing success flag, URL and error message (if any)\n    \"\"\"\n    # Get presigned URL\n    success, result = minio_client.get_file_url(object_name, bucket, expires)\n\n    # Build response\n    response = {\"success\": success,\n                \"object_name\": object_name, \"expires_in\": expires}\n\n    if success:\n        response[\"url\"] = result\n    else:\n        response[\"error\"] = result\n\n    return response\n\n\ndef get_file_size_from_minio(object_name: str, bucket: Optional[str] = None) -> int:\n    \"\"\"\n    Get file size by object name\n    \"\"\"\n    bucket = bucket or minio_client.storage_config.default_bucket\n    return minio_client.get_file_size(object_name, bucket)\n\n\ndef file_exists(object_name: str, bucket: Optional[str] = None) -> bool:\n    \"\"\"\n    Check if a file exists in the bucket.\n    \n    Args:\n        object_name: Object name in storage\n        bucket: Bucket name, if not specified will use default bucket\n        \n    Returns:\n        bool: True if file exists, False otherwise\n    \"\"\"\n    try:\n        return minio_client.file_exists(object_name, bucket)\n    except Exception:\n        return False\n\n\ndef copy_file(source_object: str, dest_object: str, bucket: Optional[str] = None) -> Dict[str, Any]:\n    \"\"\"\n    Copy a file within the same bucket (atomic operation in MinIO).\n    \n    Args:\n        source_object: Source object name\n        dest_object: Destination object name\n        bucket: Bucket name, if not specified will use default bucket\n        \n    Returns:\n        Dict[str, Any]: Result containing success flag and error message (if any)\n    \"\"\"\n    success, result = minio_client.copy_file(source_object, dest_object, bucket)\n    if success:\n        return {\"success\": True, \"object_name\": result}\n    else:\n        return {\"success\": False, \"error\": result}\n\n\ndef list_files(prefix: str = \"\", bucket: Optional[str] = None) -> List[Dict[str, Any]]:\n    \"\"\"\n    List files in bucket\n\n    Args:\n        prefix: Prefix filter\n        bucket: Bucket name, if not specified will use default bucket\n\n    Returns:\n        List[Dict[str, Any]]: List of file information\n    \"\"\"\n    # Get file list\n    files = minio_client.list_files(prefix, bucket)\n\n    # Enhance file information\n    for file in files:\n        file[\"content_type\"] = get_content_type(file[\"key\"])\n\n        # Get presigned URL (valid for 1 hour)\n        success, url = minio_client.get_file_url(file[\"key\"], bucket, 3600)\n        if success:\n            file[\"url\"] = url\n\n    return files\n\n\ndef delete_file(object_name: str, bucket: Optional[str] = None) -> Dict[str, Any]:\n    \"\"\"\n    Delete file\n\n    Args:\n        object_name: Object name\n        bucket: Bucket name, if not specified will use default bucket\n\n    Returns:\n        Dict[str, Any]: Delete result, containing success flag and error message (if any)\n    \"\"\"\n    if not bucket:\n        bucket = minio_client.storage_config.default_bucket\n    success, result = minio_client.delete_file(object_name, bucket)\n\n    response = {\"success\": success, \"object_name\": object_name}\n\n    if not success:\n        response[\"error\"] = result\n\n    return response\n\n\ndef get_file_stream(object_name: str, bucket: Optional[str] = None) -> Optional[BinaryIO]:\n    \"\"\"\n    Get file binary stream from MinIO storage\n\n    Args:\n        object_name: Object name in MinIO\n        bucket: Bucket name, if not specified use default bucket\n\n    Returns:\n        Optional[BinaryIO]: Standard BinaryIO stream object, or None if failed\n    \"\"\"\n    success, result = minio_client.get_file_stream(object_name, bucket)\n    if not success:\n        return None\n\n    # Read all data from StreamingBody and wrap it in BytesIO for BinaryIO compatibility\n    try:\n        binary_data = result.read()\n        result.close()  # Close the original stream\n        return io.BytesIO(binary_data)\n    except Exception:\n        return None\n\n\ndef get_content_type(file_path: str) -> str:\n    \"\"\"\n    Get content type based on file extension\n\n    Args:\n        file_path: File path or name\n\n    Returns:\n        str: Content type\n    \"\"\"\n    # File extension to MIME type mapping\n    mime_types = {'.jpg': 'image/jpeg',\n                  '.jpeg': 'image/jpeg',\n                  '.png': 'image/png',\n                  '.gif': 'image/gif',\n                  '.bmp': 'image/bmp',\n                  '.webp': 'image/webp',\n                  '.svg': 'image/svg+xml',\n                  '.pdf': 'application/pdf',\n                  '.doc': 'application/msword',\n                  '.docx': 'application/vnd.openxmlformats-officedocument.wordprocessingml.document',\n                  '.xls': 'application/vnd.ms-excel',\n                  '.xlsx': 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet',\n                  '.ppt': 'application/vnd.ms-powerpoint',\n                  '.pptx': 'application/vnd.openxmlformats-officedocument.presentationml.presentation',\n                  '.txt': 'text/plain',\n                  '.csv': 'text/csv',\n                  '.md': 'text/markdown',\n                  '.html': 'text/html',\n                  '.htm': 'text/html',\n                  '.json': 'application/json',\n                  '.xml': 'application/xml',\n                  '.zip': 'application/zip',\n                  '.rar': 'application/x-rar-compressed',\n                  '.tar': 'application/x-tar',\n                  '.gz': 'application/gzip',\n                  '.mp3': 'audio/mpeg',\n                  '.mp4': 'video/mp4',\n                  '.avi': 'video/x-msvideo',\n                  '.mov': 'video/quicktime',\n                  '.wmv': 'video/x-ms-wmv'}\n\n    # Get file extension\n    _, ext = os.path.splitext(file_path.lower())\n\n    # Return corresponding MIME type, if no match return generic binary type\n    return mime_types.get(ext, 'application/octet-stream')\n"
  },
  {
    "path": "backend/database/client.py",
    "content": "import logging\nfrom contextlib import contextmanager\nfrom typing import Any, BinaryIO, Dict, List, Optional, Tuple\n\nimport psycopg2\nfrom sqlalchemy import create_engine\nfrom sqlalchemy.orm import class_mapper, sessionmaker\n\nfrom consts.const import (\n    MINIO_ACCESS_KEY,\n    MINIO_DEFAULT_BUCKET,\n    MINIO_ENDPOINT,\n    MINIO_REGION,\n    MINIO_SECRET_KEY,\n    NEXENT_POSTGRES_PASSWORD,\n    POSTGRES_DB,\n    POSTGRES_HOST,\n    POSTGRES_PORT,\n    POSTGRES_USER,\n)\nfrom database.db_models import TableBase\nfrom nexent.storage.storage_client_factory import create_storage_client_from_config, MinIOStorageConfig\n\n\nlogger = logging.getLogger(\"database.client\")\n\n\nclass PostgresClient:\n    _instance: Optional['PostgresClient'] = None\n    _conn: Optional[psycopg2.extensions.connection] = None\n\n    def __new__(cls):\n        if cls._instance is None:\n            cls._instance = super(PostgresClient, cls).__new__(cls)\n        return cls._instance\n\n    def __init__(self):\n        self.host = POSTGRES_HOST\n        self.user = POSTGRES_USER\n        self.password = NEXENT_POSTGRES_PASSWORD\n        self.database = POSTGRES_DB\n        self.port = POSTGRES_PORT\n        self.engine = create_engine(\n            \"postgresql://\",\n            connect_args={\n                \"host\": self.host,\n                \"user\": self.user,\n                \"password\": self.password,\n                \"database\": self.database,\n                \"port\": self.port,\n                \"client_encoding\": \"utf8\"\n            },\n            echo=False,\n            pool_size=10,\n            pool_pre_ping=True,\n            pool_timeout=30\n        )\n        self.session_maker = sessionmaker(bind=self.engine)\n\n    @staticmethod\n    def clean_string_values(data: Dict[str, Any]) -> Dict[str, Any]:\n        \"\"\"Ensure all strings are UTF-8 encoded\"\"\"\n        cleaned_data = {}\n        for key, value in data.items():\n            if isinstance(value, str):\n                cleaned_data[key] = value.encode(\n                    'utf-8', errors='ignore').decode('utf-8')\n            else:\n                cleaned_data[key] = value\n        return cleaned_data\n\n\nclass MinioClient:\n    \"\"\"\n    MinIO client wrapper using storage SDK\n\n    This class maintains backward compatibility with the existing MinioClient interface\n    while using the new storage SDK under the hood.\n    \"\"\"\n    _instance: Optional['MinioClient'] = None\n\n    def __new__(cls):\n        if cls._instance is None:\n            cls._instance = super(MinioClient, cls).__new__(cls)\n        return cls._instance\n\n    def __init__(self):\n        # Determine if endpoint uses HTTPS\n        secure = MINIO_ENDPOINT.startswith(\n            'https://') if MINIO_ENDPOINT else True\n        # Initialize storage client using SDK factory\n        self.storage_config = MinIOStorageConfig(\n            endpoint=MINIO_ENDPOINT,\n            access_key=MINIO_ACCESS_KEY,\n            secret_key=MINIO_SECRET_KEY,\n            region=MINIO_REGION,\n            default_bucket=MINIO_DEFAULT_BUCKET,\n            secure=secure\n        )\n        self._storage_client = create_storage_client_from_config(\n            self.storage_config)\n\n    def upload_file(\n            self,\n            file_path: str,\n            object_name: Optional[str] = None,\n            bucket: Optional[str] = None\n    ) -> Tuple[bool, str]:\n        \"\"\"\n        Upload local file to MinIO\n\n        Args:\n            file_path: Local file path\n            object_name: Object name, if not specified use filename\n            bucket: Bucket name, if not specified use default bucket\n\n        Returns:\n            Tuple[bool, str]: (Success status, File URL or error message)\n        \"\"\"\n        return self._storage_client.upload_file(file_path, object_name, bucket)\n\n    def upload_fileobj(self, file_obj: BinaryIO, object_name: str, bucket: Optional[str] = None) -> Tuple[bool, str]:\n        \"\"\"\n        Upload file object to MinIO\n\n        Args:\n            file_obj: File object\n            object_name: Object name\n            bucket: Bucket name, if not specified use default bucket\n\n        Returns:\n            Tuple[bool, str]: (Success status, File URL or error message)\n        \"\"\"\n        return self._storage_client.upload_fileobj(file_obj, object_name, bucket)\n\n    def download_file(self, object_name: str, file_path: str, bucket: Optional[str] = None) -> Tuple[bool, str]:\n        \"\"\"\n        Download file from MinIO to local\n\n        Args:\n            object_name: Object name\n            file_path: Local save path\n            bucket: Bucket name, if not specified use default bucket\n\n        Returns:\n            Tuple[bool, str]: (Success status, Success message or error message)\n        \"\"\"\n        return self._storage_client.download_file(object_name, file_path, bucket)\n\n    def get_file_url(self, object_name: str, bucket: Optional[str] = None, expires: int = 3600) -> Tuple[bool, str]:\n        \"\"\"\n        Get presigned URL for file\n\n        Args:\n            object_name: Object name\n            bucket: Bucket name, if not specified use default bucket\n            expires: URL expiration time in seconds\n\n        Returns:\n            Tuple[bool, str]: (Success status, Presigned URL or error message)\n        \"\"\"\n        return self._storage_client.get_file_url(object_name, bucket, expires)\n\n    def get_file_size(self, object_name: str, bucket: Optional[str] = None) -> int:\n        \"\"\"\n        Get file size in bytes\n\n        Args:\n            object_name: Object name\n            bucket: Bucket name, if not specified use default bucket\n\n        Returns:\n            int: File size in bytes, 0 if file not found or error\n        \"\"\"\n        return self._storage_client.get_file_size(object_name, bucket)\n\n    def list_files(self, prefix: str = \"\", bucket: Optional[str] = None) -> List[dict]:\n        \"\"\"\n        List files in bucket\n\n        Args:\n            prefix: Prefix filter\n            bucket: Bucket name, if not specified use default bucket\n\n        Returns:\n            List[dict]: List of file information\n        \"\"\"\n        return self._storage_client.list_files(prefix, bucket)\n\n    def delete_file(self, object_name: str, bucket: Optional[str] = None) -> Tuple[bool, str]:\n        \"\"\"\n        Delete file\n\n        Args:\n            object_name: Object name\n            bucket: Bucket name, if not specified use default bucket\n\n        Returns:\n            Tuple[bool, str]: (Success status, Success message or error message)\n        \"\"\"\n        return self._storage_client.delete_file(object_name, bucket)\n\n    def get_file_stream(self, object_name: str, bucket: Optional[str] = None) -> Tuple[bool, Any]:\n        \"\"\"\n        Get file binary stream from MinIO\n\n        Args:\n            object_name: Object name\n            bucket: Bucket name, if not specified use default bucket\n\n        Returns:\n            Tuple[bool, Any]: (Success status, File stream object or error message)\n        \"\"\"\n        return self._storage_client.get_file_stream(object_name, bucket)\n\n    def file_exists(self, object_name: str, bucket: Optional[str] = None) -> bool:\n        \"\"\"\n        Check if file exists in MinIO\n\n        Args:\n            object_name: Object name\n            bucket: Bucket name, if not specified use default bucket\n\n        Returns:\n            bool: True if file exists, False otherwise\n        \"\"\"\n        return self._storage_client.exists(object_name, bucket)\n\n    def copy_file(self, source_object: str, dest_object: str, bucket: Optional[str] = None) -> Tuple[bool, str]:\n        \"\"\"\n        Copy a file within the same bucket (atomic operation)\n\n        Args:\n            source_object: Source object name\n            dest_object: Destination object name\n            bucket: Bucket name, if not specified use default bucket\n\n        Returns:\n            Tuple[bool, str]: (Success status, Destination object name or error message)\n        \"\"\"\n        return self._storage_client.copy_file(source_object, dest_object, bucket)\n\n\n# Create global database and MinIO client instances\ndb_client = PostgresClient()\nminio_client = MinioClient()\n\n\n@contextmanager\ndef get_db_session(db_session=None):\n    \"\"\"\n    param db_session: Optional session to use, if None, a new session will be created.\n    Provide a transactional scope around a series of operations.\n    \"\"\"\n    session = db_client.session_maker() if db_session is None else db_session\n    try:\n        yield session\n        if db_session is None:\n            session.commit()\n    except Exception as e:\n        if db_session is None:\n            session.rollback()\n        logger.error(f\"Database operation failed: {str(e)}\")\n        raise e\n    finally:\n        if db_session is None:\n            session.close()\n\n\ndef as_dict(obj):\n\n    # Handle SQLAlchemy ORM objects (both TableBase and other DeclarativeBase subclasses)\n    if hasattr(obj, '__class__') and hasattr(obj.__class__, '__mapper__'):\n        return {c.key: getattr(obj, c.key) for c in class_mapper(obj.__class__).columns}\n\n    # noinspection PyProtectedMember\n    return dict(obj._mapping)\n\n\ndef filter_property(data, model_class):\n    \"\"\"\n    Filter the data dictionary to only include keys that correspond to columns in the model class.\n\n    :param data: Dictionary containing the data to be filtered.\n    :param model_class: The SQLAlchemy model class to filter against.\n    :return: A new dictionary with only the keys that match the model's columns.\n    \"\"\"\n    model_fields = model_class.__table__.columns.keys()\n    return {key: value for key, value in data.items() if key in model_fields}\n"
  },
  {
    "path": "backend/database/conversation_db.py",
    "content": "import json\nfrom datetime import datetime\nfrom typing import Any, Dict, List, Optional, TypedDict\n\nfrom sqlalchemy import asc, desc, func, insert, select, update\n\nfrom .client import as_dict, db_client, get_db_session\nfrom .db_models import (\n    ConversationMessage,\n    ConversationMessageUnit,\n    ConversationRecord,\n    ConversationSourceImage,\n    ConversationSourceSearch,\n)\nfrom .utils import add_creation_tracking, add_update_tracking\n\n\nclass MessageRecord(TypedDict):\n    message_id: int\n    message_index: int\n    role: str\n    type: Optional[str]\n    content: Optional[str]\n    opinion_flag: Optional[str]\n\n\nclass SearchRecord(TypedDict):\n    message_id: int\n    source_type: str\n    source_title: str\n    source_location: str\n    source_content: str\n    score_overall: Optional[float]\n    score_accuracy: Optional[float]\n    score_semantic: Optional[float]\n    published_date: Optional[datetime]\n    cite_index: Optional[int]\n    search_type: Optional[str]\n    tool_sign: Optional[str]\n\n\nclass ImageRecord(TypedDict):\n    message_id: int\n    image_url: str\n\n\nclass ConversationHistory(TypedDict):\n    conversation_id: int\n    create_time: int\n    message_records: List[MessageRecord]\n    search_records: List[SearchRecord]\n    image_records: List[ImageRecord]\n\n\ndef create_conversation(conversation_title: str, user_id: Optional[str] = None) -> Dict[str, Any]:\n    \"\"\"\n    Create a new conversation record\n\n    Args:\n        conversation_title: Conversation title\n        user_id: Reserved parameter for created_by and updated_by fields\n\n    Returns:\n        Dict[str, Any]: Dictionary containing complete information of the newly created conversation\n    \"\"\"\n    with get_db_session() as session:\n        # Prepare data dictionary\n        data = {\"conversation_title\": conversation_title, \"delete_flag\": 'N'}\n        if user_id:\n            data = add_creation_tracking(data, user_id)\n\n        stmt = insert(ConversationRecord).values(**data).returning(\n            ConversationRecord.conversation_id,\n            ConversationRecord.conversation_title,\n            (func.extract('epoch', ConversationRecord.create_time)\n             * 1000).label('create_time'),\n            (func.extract('epoch', ConversationRecord.update_time)\n             * 1000).label('update_time')\n        )\n\n        record = session.execute(stmt).fetchone()\n\n        # Convert to dictionary and ensure timestamps are integers\n        result_dict = {\n            \"conversation_id\": record.conversation_id,\n            \"conversation_title\": record.conversation_title,\n            \"create_time\": int(record.create_time),\n            \"update_time\": int(record.update_time)\n        }\n        return result_dict\n\n\ndef create_conversation_message(message_data: Dict[str, Any], user_id: Optional[str] = None) -> int:\n    \"\"\"\n    Create a conversation message record\n\n    Args:\n        message_data: Dictionary containing message data, must include the following fields:\n            - conversation_id: Conversation ID (integer)\n            - message_idx: Message index (integer)\n            - role: Message role\n            - content: Message content\n            - minio_files: JSON string of attachment information\n        user_id: Reserved parameter for created_by and updated_by fields\n\n    Returns:\n        int: Newly created message ID (auto-increment ID)\n    \"\"\"\n    with get_db_session() as session:\n        # Ensure conversation_id is integer type\n        conversation_id = int(message_data['conversation_id'])\n        message_idx = int(message_data['message_idx'])\n\n        minio_files = message_data.get('minio_files')\n        # Convert minio_files to JSON string for storage\n        if minio_files is not None:\n            # If minio_files is already a string, use it directly; otherwise convert to JSON string\n            if not isinstance(minio_files, str):\n                minio_files = json.dumps(minio_files)\n\n        # Prepare data dictionary\n        data = {\"conversation_id\": conversation_id, \"message_index\": message_idx, \"message_role\": message_data['role'],\n                \"message_content\": message_data['content'], \"minio_files\": minio_files, \"opinion_flag\": None,\n                \"delete_flag\": 'N'}\n        if user_id:\n            data = add_creation_tracking(data, user_id)\n\n        # insert into conversation_message_t\n        stmt = insert(ConversationMessage).values(\n            **data).returning(ConversationMessage.message_id)\n        result = session.execute(stmt)\n        message_id = result.scalar()\n        return message_id\n\n\ndef create_message_units(message_units: List[Dict[str, Any]], message_id: int, conversation_id: int,\n                         user_id: Optional[str] = None) -> List[int]:\n    \"\"\"\n    Batch create message unit records\n\n    Args:\n        message_units: List of message units, each containing:\n            - type: Unit type\n            - content: Unit content\n        message_id: Message ID (integer)\n        conversation_id: Conversation ID (integer)\n        user_id: Reserved parameter for created_by and updated_by fields\n\n    Returns:\n        List[int]: List of newly created unit IDs\n    \"\"\"\n    if not message_units:\n        return []  # No message units, return empty list\n\n    with get_db_session() as session:\n        # Ensure IDs are integer type\n        message_id = int(message_id)\n        conversation_id = int(conversation_id)\n\n        # Create units one by one to get unit_ids\n        unit_ids = []\n        for idx, unit in enumerate(message_units):\n            # Basic data\n            row_data = {\n                \"message_id\": message_id,\n                \"conversation_id\": conversation_id,\n                \"unit_index\": idx,\n                \"unit_type\": unit['type'],\n                \"unit_content\": unit['content'],\n                \"delete_flag\": 'N'\n            }\n\n            if user_id:\n                row_data[\"created_by\"] = user_id\n                row_data[\"updated_by\"] = user_id\n\n            # Insert and get unit_id\n            stmt = insert(ConversationMessageUnit).values(\n                **row_data).returning(ConversationMessageUnit.unit_id)\n            result = session.execute(stmt)\n            unit_id = result.scalar_one()\n            unit_ids.append(unit_id)\n\n        return unit_ids\n\n\ndef get_conversation(conversation_id: int, user_id: Optional[str] = None) -> Optional[Dict[str, Any]]:\n    \"\"\"\n    Get conversation details\n\n    Args:\n        conversation_id: Conversation ID (integer)\n        user_id: Reserved parameter for created_by and updated_by fields\n\n    Returns:\n        Optional[Dict[str, Any]]: Conversation details, or None if it doesn't exist\n    \"\"\"\n    with get_db_session() as session:\n        # Ensure conversation_id is integer type\n        conversation_id = int(conversation_id)\n\n        # Build the query statement\n        stmt = select(ConversationRecord).where(\n            ConversationRecord.conversation_id == conversation_id,\n            ConversationRecord.delete_flag == 'N'\n        )\n\n        if user_id:\n            stmt = stmt.where(\n                ConversationRecord.created_by == user_id\n            )\n\n        # Execute the query\n        record = session.scalars(stmt).first()\n        return None if record is None else as_dict(record)\n\n\ndef get_conversation_messages(conversation_id: int) -> List[Dict[str, Any]]:\n    \"\"\"\n    Get all messages in a conversation\n\n    Args:\n        conversation_id: Conversation ID (integer)\n\n    Returns:\n        List[Dict[str, Any]]: List of messages, sorted by message_index\n    \"\"\"\n    with get_db_session() as session:\n        # Ensure conversation_id is of integer type\n        conversation_id = int(conversation_id)\n\n        # Build the query statement\n        stmt = select(ConversationMessage).where(\n            ConversationMessage.conversation_id == conversation_id,\n            ConversationMessage.delete_flag == 'N'\n        ).order_by(asc(ConversationMessage.message_index))\n\n        # Execute the query\n        records = session.scalars(stmt).all()\n\n        # Convert SQLAlchemy model instances to dictionaries\n        return list(map(as_dict, records))\n\n\ndef get_message_units(message_id: int) -> List[Dict[str, Any]]:\n    \"\"\"\n    Get all units of a message\n\n    Args:\n        message_id: Message ID (integer)\n\n    Returns:\n        List[Dict[str, Any]]: List of message units, sorted by unit_index\n    \"\"\"\n    with get_db_session() as session:\n        # Ensure message_id is integer type\n        message_id = int(message_id)\n\n        # Build the query statement\n        stmt = select(ConversationMessageUnit).where(\n            ConversationMessageUnit.message_id == message_id,\n            ConversationMessageUnit.delete_flag == 'N'\n        ).order_by(asc(ConversationMessageUnit.unit_index))\n\n        # Execute the query\n        records = session.scalars(stmt).all()\n\n        # Convert SQLAlchemy model instances to dictionaries\n        return list(map(as_dict, records))\n\n\ndef get_conversation_list(user_id: Optional[str] = None) -> List[Dict[str, Any]]:\n    \"\"\"\n    Get list of all undeleted conversations, sorted by creation time in descending order\n\n    Args:\n        user_id: Reserved parameter for filtering conversations created by this user\n\n    Returns:\n        List[Dict[str, Any]]: List of conversations, each containing id, title and timestamp information\n    \"\"\"\n    with get_db_session() as session:\n        # Build the query statement\n        stmt = select(\n            ConversationRecord.conversation_id,\n            ConversationRecord.conversation_title,\n            (func.extract('epoch', ConversationRecord.create_time)\n             * 1000).label('create_time'),\n            (func.extract('epoch', ConversationRecord.update_time)\n             * 1000).label('update_time')\n        ).where(\n            ConversationRecord.delete_flag == 'N'\n        ).order_by(\n            desc(ConversationRecord.create_time)\n        )\n\n        # If user_id is provided, additional filter conditions can be added here\n        if user_id:\n            stmt = stmt.where(ConversationRecord.created_by == user_id)\n\n        # Execute the query\n        records = session.execute(stmt)\n\n        # Convert query results to a list of dictionaries and ensure timestamps are integers\n        result = []\n        for record in records:\n            conversation = as_dict(record)\n            conversation['create_time'] = int(conversation['create_time'])\n            conversation['update_time'] = int(conversation['update_time'])\n            result.append(conversation)\n\n        return result\n\n\ndef rename_conversation(conversation_id: int, new_title: str, user_id: Optional[str] = None) -> bool:\n    \"\"\"\n    Rename a conversation\n\n    Args:\n        conversation_id: Conversation ID (integer)\n        new_title: New conversation title\n        user_id: Reserved parameter for updated_by field\n\n    Returns:\n        bool: Whether the operation was successful\n    \"\"\"\n    with get_db_session() as session:\n        # Ensure conversation_id is of integer type\n        conversation_id = int(conversation_id)\n\n        # Prepare update data with UTF-8 encoding for title\n        update_data = {\n            \"conversation_title\": new_title,\n            \"update_time\": func.current_timestamp()\n        }\n        update_data = db_client.clean_string_values(update_data)\n        if user_id:\n            update_data = add_update_tracking(update_data, user_id)\n\n        # Build the update statement\n        stmt = update(ConversationRecord).where(\n            ConversationRecord.conversation_id == conversation_id,\n            ConversationRecord.delete_flag == 'N'\n        ).values(update_data)\n\n        # Execute the update statement\n        result = session.execute(stmt)\n\n        # Check if any rows were affected\n        return result.rowcount > 0\n\n\ndef delete_conversation(conversation_id: int, user_id: Optional[str] = None) -> bool:\n    \"\"\"\n    Delete a conversation (soft delete)\n\n    Args:\n        conversation_id: Conversation ID (integer)\n        user_id: Reserved parameter for updated_by field\n\n    Returns:\n        bool: Whether the operation was successful\n    \"\"\"\n    with get_db_session() as session:\n        # Ensure conversation_id is of integer type\n        conversation_id = int(conversation_id)\n\n        # Prepare update data\n        update_data = {\n            \"delete_flag\": 'Y',\n            \"update_time\": func.current_timestamp()\n        }\n        if user_id:\n            update_data = add_update_tracking(update_data, user_id)\n\n        # 1. Mark conversation as deleted\n        conversation_stmt = update(ConversationRecord).where(\n            ConversationRecord.conversation_id == conversation_id,\n            ConversationRecord.delete_flag == 'N'\n        ).values(update_data)\n        conversation_result = session.execute(conversation_stmt)\n\n        # 2. Mark related messages as deleted\n        message_stmt = update(ConversationMessage).where(\n            ConversationMessage.conversation_id == conversation_id,\n            ConversationMessage.delete_flag == 'N'\n        ).values(update_data)\n        session.execute(message_stmt)\n\n        # 3. Mark message units as deleted\n        unit_stmt = update(ConversationMessageUnit).where(\n            ConversationMessageUnit.conversation_id == conversation_id,\n            ConversationMessageUnit.delete_flag == 'N'\n        ).values(update_data)\n        session.execute(unit_stmt)\n\n        # 4. Mark search sources as deleted\n        search_stmt = update(ConversationSourceSearch).where(\n            ConversationSourceSearch.conversation_id == conversation_id,\n            ConversationSourceSearch.delete_flag == 'N'\n        ).values(update_data)\n        session.execute(search_stmt)\n\n        # 5. Mark image sources as deleted\n        image_stmt = update(ConversationSourceImage).where(\n            ConversationSourceImage.conversation_id == conversation_id,\n            ConversationSourceImage.delete_flag == 'N'\n        ).values(update_data)\n        session.execute(image_stmt)\n\n        # Check if the conversation record was affected\n        return conversation_result.rowcount > 0\n\n\ndef soft_delete_all_conversations_by_user(user_id: str) -> int:\n    \"\"\"\n    Soft-delete all conversations and related records created by a user.\n\n    Returns the number of conversations marked as deleted.\n    \"\"\"\n    with get_db_session() as session:\n        update_data = {\n            \"delete_flag\": 'Y',\n            \"update_time\": func.current_timestamp()\n        }\n\n        # 1) Find all conversation ids created by the user\n        conv_ids = session.scalars(\n            select(ConversationRecord.conversation_id).where(\n                ConversationRecord.delete_flag == 'N',\n                ConversationRecord.created_by == user_id,\n            )\n        ).all()\n\n        if not conv_ids:\n            return 0\n\n        # 2) Mark conversations as deleted\n        session.execute(\n            update(ConversationRecord)\n            .where(ConversationRecord.conversation_id.in_(conv_ids), ConversationRecord.delete_flag == 'N')\n            .values(update_data)\n        )\n\n        # 3) Mark messages as deleted\n        session.execute(\n            update(ConversationMessage)\n            .where(ConversationMessage.conversation_id.in_(conv_ids), ConversationMessage.delete_flag == 'N')\n            .values(update_data)\n        )\n\n        # 4) Mark message units as deleted\n        session.execute(\n            update(ConversationMessageUnit)\n            .where(ConversationMessageUnit.conversation_id.in_(conv_ids), ConversationMessageUnit.delete_flag == 'N')\n            .values(update_data)\n        )\n\n        # 5) Mark search sources as deleted\n        session.execute(\n            update(ConversationSourceSearch)\n            .where(ConversationSourceSearch.conversation_id.in_(conv_ids), ConversationSourceSearch.delete_flag == 'N')\n            .values(update_data)\n        )\n\n        # 6) Mark image sources as deleted\n        session.execute(\n            update(ConversationSourceImage)\n            .where(ConversationSourceImage.conversation_id.in_(conv_ids), ConversationSourceImage.delete_flag == 'N')\n            .values(update_data)\n        )\n\n        return len(conv_ids)\n\n\ndef update_message_opinion(message_id: int, opinion: str, user_id: Optional[str] = None) -> bool:\n    \"\"\"\n    Update message like/dislike status\n\n    Args:\n        message_id: Message ID (integer)\n        opinion: Opinion flag, 'Y' for like, 'N' for dislike, None for no opinion\n        user_id: Reserved parameter for updated_by field\n\n    Returns:\n        bool: Whether the operation was successful\n    \"\"\"\n    with get_db_session() as session:\n        # Ensure message_id is of integer type\n        message_id = int(message_id)\n\n        # Prepare update data\n        update_data = {\n            \"opinion_flag\": opinion,\n            # Use the database's CURRENT_TIMESTAMP function\n            \"update_time\": func.current_timestamp()\n        }\n        if user_id:\n            update_data = add_update_tracking(update_data, user_id)\n\n        # Build the update statement\n        stmt = update(ConversationMessage).where(\n            ConversationMessage.message_id == message_id,\n            ConversationMessage.delete_flag == 'N'\n        ).values(update_data)\n\n        # Execute the update statement\n        result = session.execute(stmt)\n\n        # Check if any rows were affected\n        return result.rowcount > 0\n\n\ndef get_conversation_history(conversation_id: int, user_id: Optional[str] = None) -> Optional[ConversationHistory]:\n    \"\"\"\n    Get complete conversation history, including all messages and message units' raw data\n\n    Args:\n        conversation_id: Conversation ID (integer)\n        user_id: Reserved parameter for created_by and updated_by fields\n\n    Returns:\n        Optional[ConversationHistory]: Contains basic conversation information and raw data of all messages and message units\n    \"\"\"\n    with get_db_session() as session:\n        # Ensure conversation_id is of integer type\n        conversation_id = int(conversation_id)\n\n        # First check if conversation exists\n        check_stmt = select(\n            ConversationRecord.conversation_id,\n            (func.extract('epoch', ConversationRecord.create_time)\n             * 1000).label('create_time')\n        ).where(\n            ConversationRecord.conversation_id == conversation_id,\n            ConversationRecord.delete_flag == 'N'\n        )\n        if user_id:\n            check_stmt = check_stmt.where(\n                ConversationRecord.created_by == user_id)\n\n        conversation = session.execute(check_stmt).first()\n\n        if not conversation:\n            return None\n\n        conversation = as_dict(conversation)\n\n        subquery = select(\n            # Move the order_by to the json_agg function\n            func.json_agg(\n                func.json_build_object(\n                    'unit_id', ConversationMessageUnit.unit_id,\n                    'unit_type', ConversationMessageUnit.unit_type,\n                    'unit_content', ConversationMessageUnit.unit_content\n                )\n            )\n        ).select_from(\n            ConversationMessageUnit\n        ).where(\n            ConversationMessageUnit.message_id == ConversationMessage.message_id,\n            ConversationMessageUnit.delete_flag == 'N',\n            ConversationMessageUnit.unit_type is not None\n        ).scalar_subquery()\n\n        query = select(\n            ConversationMessage.message_id,\n            ConversationMessage.message_index,\n            ConversationMessage.message_role.label('role'),\n            ConversationMessage.message_content,\n            ConversationMessage.minio_files,\n            ConversationMessage.opinion_flag,\n            subquery.label('units')\n        ).where(\n            ConversationMessage.conversation_id == conversation_id,\n\n            ConversationMessage.delete_flag == 'N'\n        ).order_by(ConversationMessage.message_index)\n\n        message_records = session.execute(query).all()\n\n        # Get search data\n        search_stmt = select(ConversationSourceSearch).where(\n            ConversationSourceSearch.conversation_id == conversation_id,\n            ConversationSourceSearch.delete_flag == 'N'\n        ).order_by(ConversationSourceSearch.search_id)\n        search_records = session.scalars(search_stmt).all()\n\n        # Get image data\n        image_stmt = select(ConversationSourceImage).where(\n            ConversationSourceImage.conversation_id == conversation_id,\n            ConversationSourceImage.delete_flag == 'N'\n        )\n        image_records = session.scalars(image_stmt).all()\n\n        # Integrate message and unit data\n        message_list = []\n        for record in message_records:\n            message_data = as_dict(record)\n\n            # Ensure units field is empty list instead of None\n            if message_data['units'] is None:\n                message_data['units'] = []\n\n            # Process minio_files field - if it's a JSON string, parse it into Python object\n            if message_data.get('minio_files'):\n                try:\n                    if isinstance(message_data['minio_files'], str):\n                        message_data['minio_files'] = json.loads(\n                            message_data['minio_files'])\n                except (json.JSONDecodeError, TypeError):\n                    # If parsing fails, keep original value\n                    pass\n\n            message_list.append(message_data)\n\n        return {\n            'conversation_id': conversation['conversation_id'],\n            'create_time': int(conversation['create_time']),\n            'message_records': message_list,\n            'search_records': [as_dict(record) for record in search_records],\n            'image_records': [as_dict(record) for record in image_records]\n        }\n\n\ndef create_source_image(image_data: Dict[str, Any], user_id: Optional[str] = None) -> int:\n    \"\"\"\n    Create image source reference\n\n    Args:\n        image_data: Dictionary containing image data, must include the following fields:\n            - message_id: Message ID (integer)\n            - image_url: Image URL\n        user_id: Reserved parameter for created_by and updated_by fields\n\n    Returns:\n        int: Newly created image ID (auto-increment ID)\n    \"\"\"\n    with get_db_session() as session:\n        # Ensure message_id is of integer type\n        message_id = int(image_data['message_id'])\n\n        # Prepare data dictionary\n        data = {\n            \"message_id\": message_id,\n            \"conversation_id\": image_data.get('conversation_id'),\n            \"image_url\": image_data['image_url'],\n            \"delete_flag\": 'N',\n            # Use the database's CURRENT_TIMESTAMP function\n            \"create_time\": func.current_timestamp()\n        }\n\n        if user_id:\n            data = add_creation_tracking(data, user_id)\n\n        # Build the insert statement and return the newly created image ID\n        stmt = insert(ConversationSourceImage).values(\n            **data).returning(ConversationSourceImage.image_id)\n\n        # Execute the insert statement\n        result = session.execute(stmt)\n        image_id = result.scalar_one()\n\n        return image_id\n\n\ndef delete_source_image(image_id: int, user_id: Optional[str] = None) -> bool:\n    \"\"\"\n    Delete image source reference (soft delete)\n\n    Args:\n        image_id: Image ID (integer)\n        user_id: Reserved parameter for updated_by field\n\n    Returns:\n        bool: Whether the operation was successful\n    \"\"\"\n    with get_db_session() as session:\n        # Ensure image_id is an integer\n        image_id = int(image_id)\n\n        # Prepare update data\n        update_data = {\n            \"delete_flag\": 'Y',\n            # Use database's CURRENT_TIMESTAMP function\n            \"update_time\": func.current_timestamp()\n        }\n\n        if user_id:\n            update_data = add_update_tracking(update_data, user_id)\n\n        # Build the update statement\n        stmt = update(ConversationSourceImage).where(\n            ConversationSourceImage.image_id == image_id,\n            ConversationSourceImage.delete_flag == 'N'\n        ).values(update_data)\n\n        # Execute the update statement\n        result = session.execute(stmt)\n\n        # Check if any rows were affected\n        return result.rowcount > 0\n\n\ndef get_source_images_by_message(message_id: int, user_id: Optional[str] = None) -> List[Dict[str, Any]]:\n    \"\"\"\n    Get all associated image source information by message ID\n\n    Args:\n        message_id: Message ID\n        user_id: Reserved parameter for filtering images created by this user\n\n    Returns:\n        List[Dict[str, Any]]: List of image source information\n    \"\"\"\n    with get_db_session() as session:\n        # Ensure message_id is an integer\n        message_id = int(message_id)\n\n        # Build the query using SQLAlchemy's ORM\n        stmt = select(ConversationSourceImage).join(\n            ConversationMessage, ConversationSourceImage.message_id == ConversationMessage.message_id\n        ).join(\n            ConversationRecord, ConversationMessage.conversation_id == ConversationRecord.conversation_id\n        ).where(\n            ConversationSourceImage.message_id == message_id,\n            ConversationSourceImage.delete_flag == 'N'\n        ).order_by(\n            ConversationSourceImage.image_id\n        )\n\n        if user_id:\n            stmt = stmt.where(ConversationRecord.created_by == user_id)\n\n        # Execute the query\n        image_records = session.scalars(stmt).all()\n\n        # Convert SQLAlchemy model instances to dictionaries\n        return [as_dict(record) for record in image_records]\n\n\ndef get_source_images_by_conversation(conversation_id: int, user_id: Optional[str] = None) -> List[Dict[str, Any]]:\n    \"\"\"\n    Get all associated image source information by conversation ID\n\n    Args:\n        conversation_id: Conversation ID\n        user_id: Current user ID, for filtering images created by this user\n\n    Returns:\n        List[Dict[str, Any]]: List of image source information\n    \"\"\"\n    with get_db_session() as session:\n        # Ensure conversation_id is an integer\n        conversation_id = int(conversation_id)\n\n        # Build the query\n        stmt = select(ConversationSourceImage).join(\n            ConversationRecord, ConversationSourceImage.conversation_id == ConversationRecord.conversation_id\n        ).where(\n            ConversationSourceImage.conversation_id == conversation_id,\n            ConversationSourceImage.delete_flag == 'N'\n        ).order_by(\n            ConversationSourceImage.image_id\n        )\n\n        if user_id:\n            stmt = stmt.where(ConversationRecord.created_by == user_id)\n\n        # Execute the query\n        image_records = session.scalars(stmt).all()\n\n        # Convert SQLAlchemy model instances to dictionaries\n        return [as_dict(record) for record in image_records]\n\n\ndef create_source_search(search_data: Dict[str, Any], user_id: Optional[str] = None) -> int:\n    \"\"\"\n    Create search source reference\n\n    Args:\n        search_data: Dictionary containing search data, must include the following fields:\n            - message_id: Message ID (integer)\n            - source_type: Source type\n            - source_title: Source title\n            - source_location: Source location/URL\n            - source_content: Source content\n            - cite_index: Index number\n            - search_type: Source tool\n            - tool_sign: Source tool simple identifier, used for summary differentiation\n            Optional fields:\n            - unit_id: Message unit ID (integer)\n            - score_overall: Overall relevance score\n            - score_accuracy: Accuracy score\n            - score_semantic: Semantic relevance score\n            - published_date: Publication date\n        user_id: Reserved parameter for created_by and updated_by fields\n\n    Returns:\n        int: Newly created search ID (auto-increment ID)\n    \"\"\"\n    with get_db_session() as session:\n        # Ensure message_id is an integer\n        message_id = int(search_data['message_id'])\n\n        # Prepare basic data dictionary\n        data = {\n            \"message_id\": message_id,\n            \"conversation_id\": search_data.get('conversation_id'),\n            \"source_type\": search_data['source_type'],\n            \"source_title\": search_data['source_title'],\n            \"source_location\": search_data['source_location'],\n            \"source_content\": search_data['source_content'],\n            \"cite_index\": search_data['cite_index'],\n            \"search_type\": search_data['search_type'],\n            \"tool_sign\": search_data['tool_sign'],\n            \"delete_flag\": 'N',\n            # Use the database's CURRENT_TIMESTAMP function\n            \"create_time\": func.current_timestamp()\n        }\n\n        # Add unit_id if provided\n        if 'unit_id' in search_data and search_data['unit_id'] is not None:\n            data[\"unit_id\"] = int(search_data['unit_id'])\n\n        # Add optional fields\n        if 'score_overall' in search_data:\n            data[\"score_overall\"] = search_data['score_overall']\n        if 'score_accuracy' in search_data:\n            data[\"score_accuracy\"] = search_data['score_accuracy']\n        if 'score_semantic' in search_data:\n            data[\"score_semantic\"] = search_data['score_semantic']\n        if 'published_date' in search_data:\n            data[\"published_date\"] = search_data['published_date']\n        if user_id:\n            data = add_creation_tracking(data, user_id)\n\n        # Build the insert statement and return the newly created search ID\n        stmt = insert(ConversationSourceSearch).values(\n            **data).returning(ConversationSourceSearch.search_id)\n\n        # Execute the insert statement\n        result = session.execute(stmt)\n        search_id = result.scalar_one()\n\n        return search_id\n\n\ndef delete_source_search(search_id: int, user_id: Optional[str] = None) -> bool:\n    \"\"\"\n    Delete search source reference (soft delete)\n\n    Args:\n        search_id: Search ID (integer)\n        user_id: Reserved parameter for updated_by field\n\n    Returns:\n        bool: Whether the operation was successful\n    \"\"\"\n    with get_db_session() as session:\n        # Ensure search_id is an integer\n        search_id = int(search_id)\n\n        # Prepare update data\n        update_data = {\n            \"delete_flag\": 'Y',\n            # Use the database's CURRENT_TIMESTAMP function\n            \"update_time\": func.current_timestamp()\n        }\n        if user_id:\n            update_data = add_update_tracking(update_data, user_id)\n\n        # Build the update statement\n        stmt = update(ConversationSourceSearch).where(\n            ConversationSourceSearch.search_id == search_id,\n            ConversationSourceSearch.delete_flag == 'N'\n        ).values(update_data)\n\n        # Execute the update statement\n        result = session.execute(stmt)\n\n        # Check if any rows were affected\n        return result.rowcount > 0\n\n\ndef get_source_searches_by_message(message_id: int, user_id: Optional[str] = None) -> List[Dict[str, Any]]:\n    \"\"\"\n    Get all associated search source information by message ID\n\n    Args:\n        message_id: Message ID\n        user_id: Reserved parameter for created_by and updated_by fields\n\n    Returns:\n        List[Dict[str, Any]]: List of search source information\n    \"\"\"\n    with get_db_session() as session:\n        # Ensure message_id is an integer\n        message_id = int(message_id)\n\n        # Build the query\n        stmt = select(ConversationSourceSearch).join(\n            ConversationMessage, ConversationSourceSearch.message_id == ConversationMessage.message_id\n        ).join(\n            ConversationRecord, ConversationMessage.conversation_id == ConversationRecord.conversation_id\n        ).where(\n            ConversationSourceSearch.message_id == message_id,\n            ConversationSourceSearch.delete_flag == 'N'\n        ).order_by(\n            ConversationSourceSearch.search_id\n        )\n\n        if user_id:\n            stmt = stmt.where(ConversationRecord.created_by == user_id)\n\n        # Execute the query\n        search_records = session.scalars(stmt).all()\n\n        # Convert SQLAlchemy model instances to dictionaries\n        return [as_dict(record) for record in search_records]\n\n\ndef get_source_searches_by_conversation(conversation_id: int, user_id: Optional[str] = None) -> List[Dict[str, Any]]:\n    \"\"\"\n    Get all associated search source information by conversation ID\n\n    Args:\n        conversation_id: Conversation ID\n        user_id: Reserved parameter for filtering search content created by this user\n\n    Returns:\n        List[Dict[str, Any]]: List of search source information\n    \"\"\"\n    with get_db_session() as session:\n        # Convert conversation_id to integer\n        conversation_id = int(conversation_id)\n\n        # Build the SQL query\n        stmt = select(ConversationSourceSearch).join(\n            ConversationRecord,\n            ConversationSourceSearch.conversation_id == ConversationRecord.conversation_id\n        ).where(\n            ConversationSourceSearch.conversation_id == conversation_id,\n            ConversationSourceSearch.delete_flag == 'N'\n        ).order_by(\n            ConversationSourceSearch.search_id\n        )\n\n        if user_id:\n            stmt = stmt.where(ConversationRecord.created_by == user_id)\n\n        # Execute the query and get all results\n        search_records = session.scalars(stmt).all()\n\n        # Convert SQLAlchemy objects to dictionaries\n        return [as_dict(record) for record in search_records]\n\n\ndef get_message(message_id: int, user_id: Optional[str] = None) -> Dict[str, Any]:\n    \"\"\"\n    Get message details by message ID\n\n    Args:\n        message_id: Message ID\n        user_id: Reserved parameter for created_by and updated_by fields\n\n    Returns:\n        Dict[str, Any]: Message details\n    \"\"\"\n    with get_db_session() as session:\n        # Ensure message_id is an integer\n        message_id = int(message_id)\n\n        # Build the query\n        stmt = select(ConversationMessage).join(\n            ConversationRecord, ConversationMessage.conversation_id == ConversationRecord.conversation_id\n        ).where(\n            ConversationMessage.message_id == message_id,\n            ConversationMessage.delete_flag == 'N'\n        )\n\n        if user_id:\n            stmt = stmt.where(ConversationRecord.created_by == user_id)\n\n        # Execute the query and get the first result\n        record = session.scalars(stmt).first()\n\n        # Convert the SQLAlchemy object to a dictionary if it exists\n        return as_dict(record) if record else None\n\n\ndef get_message_id_by_index(conversation_id: int, message_index: int) -> Optional[int]:\n    \"\"\"\n    Get message ID by conversation ID and message index\n\n    Args:\n        conversation_id: Conversation ID (integer)\n        message_index: Message index (integer)\n\n    Returns:\n        Optional[int]: Message ID if found, None otherwise\n    \"\"\"\n    with get_db_session() as session:\n        # Ensure input parameters are integers\n        conversation_id = int(conversation_id)\n        message_index = int(message_index)\n\n        # Build the query\n        stmt = select(ConversationMessage.message_id).where(\n            ConversationMessage.conversation_id == conversation_id,\n            ConversationMessage.message_index == message_index,\n            ConversationMessage.delete_flag == 'N'\n        )\n\n        # Execute the query and get the first result\n        result = session.execute(stmt).scalar()\n\n        return result\n"
  },
  {
    "path": "backend/database/db_models.py",
    "content": "from sqlalchemy import BigInteger, Boolean, Column, Integer, JSON, Numeric, PrimaryKeyConstraint, Sequence, String, Text, TIMESTAMP\nfrom sqlalchemy.dialects.postgresql import JSONB\nfrom sqlalchemy.orm import DeclarativeBase\nfrom sqlalchemy.sql import func\n\nSCHEMA = \"nexent\"\n\n# Base class for tables without audit fields\nclass SimpleTableBase(DeclarativeBase):\n    pass\n\n\nclass TableBase(DeclarativeBase):\n    create_time = Column(TIMESTAMP(timezone=False),\n                         server_default=func.now(), doc=\"Creation time\")\n    update_time = Column(TIMESTAMP(timezone=False), server_default=func.now(\n    ), onupdate=func.now(), doc=\"Update time\")\n    created_by = Column(String(100), doc=\"Creator\")\n    updated_by = Column(String(100), doc=\"Updater\")\n    delete_flag = Column(String(1), default=\"N\",\n                         doc=\"Whether it is deleted. Optional values: Y/N\")\n    pass\n\n\nclass ConversationRecord(TableBase):\n    \"\"\"\n    Overall information table for Q&A conversations\n    \"\"\"\n    __tablename__ = \"conversation_record_t\"\n    __table_args__ = {\"schema\": SCHEMA}\n\n    conversation_id = Column(Integer, Sequence(\n        \"conversation_record_t_conversation_id_seq\", schema=SCHEMA), primary_key=True, nullable=False)\n    conversation_title = Column(String(100), doc=\"Conversation title\")\n\n\nclass ConversationMessage(TableBase):\n    \"\"\"\n    Holds the specific response message content in the conversation\n    \"\"\"\n    __tablename__ = \"conversation_message_t\"\n    __table_args__ = {\"schema\": SCHEMA}\n\n    message_id = Column(Integer, Sequence(\n        \"conversation_message_t_message_id_seq\", schema=SCHEMA), primary_key=True, nullable=False)\n    conversation_id = Column(\n        Integer, doc=\"Formal foreign key used to associate with the conversation\")\n    message_index = Column(\n        Integer, doc=\"Sequence number for frontend display sorting\")\n    message_role = Column(\n        String(30), doc=\"The role sending the message, such as system, assistant, user\")\n    message_content = Column(String, doc=\"The complete content of the message\")\n    minio_files = Column(\n        String, doc=\"Images or documents uploaded by the user on the chat page, stored as a list\")\n    opinion_flag = Column(String(\n        1), doc=\"User evaluation of the conversation. Enumeration value \\\"Y\\\" represents a positive review, \\\"N\\\" represents a negative review\")\n\n\nclass ConversationMessageUnit(TableBase):\n    \"\"\"\n    Holds the agent's output content in each message\n    \"\"\"\n    __tablename__ = \"conversation_message_unit_t\"\n    __table_args__ = {\"schema\": SCHEMA}\n\n    unit_id = Column(Integer, Sequence(\"conversation_message_unit_t_unit_id_seq\",\n                     schema=SCHEMA), primary_key=True, nullable=False)\n    message_id = Column(\n        Integer, doc=\"Formal foreign key used to associate with the message\")\n    conversation_id = Column(\n        Integer, doc=\"Formal foreign key used to associate with the conversation\")\n    unit_index = Column(\n        Integer, doc=\"Sequence number for frontend display sorting\")\n    unit_type = Column(String(100), doc=\"Type of the smallest answer unit\")\n    unit_content = Column(\n        String, doc=\"Complete content of the smallest reply unit\")\n\n\nclass ConversationSourceImage(TableBase):\n    \"\"\"\n    Holds the search image source information of conversation messages\n    \"\"\"\n    __tablename__ = \"conversation_source_image_t\"\n    __table_args__ = {\"schema\": SCHEMA}\n\n    image_id = Column(Integer, Sequence(\n        \"conversation_source_image_t_image_id_seq\", schema=SCHEMA), primary_key=True, nullable=False)\n    conversation_id = Column(\n        Integer, doc=\"Formal foreign key used to associate with the conversation to which the search source belongs\")\n    message_id = Column(\n        Integer, doc=\"Formal foreign key used to associate with the conversation message to which the search source belongs\")\n    unit_id = Column(\n        Integer, doc=\"Formal foreign key used to associate with the smallest message unit (if any) to which the search source belongs\")\n    image_url = Column(String, doc=\"URL address of the image\")\n    cite_index = Column(\n        Integer, doc=\"[Reserved] Citation serial number for precise traceability\")\n    search_type = Column(String(\n        100), doc=\"[Reserved] Search source type, used to distinguish the retrieval tool from which the record originates. Optional values: web/local\")\n\n\nclass ConversationSourceSearch(TableBase):\n    \"\"\"\n    Holds the search text source information referenced by the response messages in the conversation\n    \"\"\"\n    __tablename__ = \"conversation_source_search_t\"\n    __table_args__ = {\"schema\": SCHEMA}\n\n    search_id = Column(Integer, Sequence(\n        \"conversation_source_search_t_search_id_seq\", schema=SCHEMA), primary_key=True, nullable=False)\n    unit_id = Column(\n        Integer, doc=\"Formal foreign key used to associate with the smallest message unit (if any) to which the search source belongs\")\n    message_id = Column(\n        Integer, doc=\"Formal foreign key used to associate with the conversation message to which the search source belongs\")\n    conversation_id = Column(\n        Integer, doc=\"Formal foreign key used to associate with the conversation to which the search source belongs\")\n    source_type = Column(String(\n        100), doc=\"Source type, used to distinguish whether source_location is a URL or a path. Optional values: url/text\")\n    source_title = Column(\n        String(400), doc=\"Title or file name of the search source\")\n    source_location = Column(\n        String(400), doc=\"URL link or file path of the search source\")\n    source_content = Column(String, doc=\"Original text of the search source\")\n    score_overall = Column(Numeric(\n        7, 6), doc=\"Overall similarity score between the source and the user query, calculated by weighted average of details\")\n    score_accuracy = Column(Numeric(7, 6), doc=\"Accuracy score\")\n    score_semantic = Column(Numeric(7, 6), doc=\"Semantic similarity score\")\n    published_date = Column(TIMESTAMP(\n        timezone=False), doc=\"Upload date of local files or network search date\")\n    cite_index = Column(\n        Integer, doc=\"Citation serial number for precise traceability\")\n    search_type = Column(String(\n        100), doc=\"Search source type, specifically describing the retrieval tool used for this search record. Optional values: web_search/knowledge_base_search\")\n    tool_sign = Column(String(\n        30), doc=\"Simple tool identifier used to distinguish the index source in the summary text output by the large model\")\n\n\nclass ModelRecord(TableBase):\n    \"\"\"\n    Model list defined by the user on the configuration page\n    \"\"\"\n    __tablename__ = \"model_record_t\"\n    __table_args__ = {\"schema\": SCHEMA}\n\n    model_id = Column(Integer, Sequence(\"model_record_t_model_id_seq\", schema=SCHEMA),\n                      primary_key=True, nullable=False, doc=\"Model ID, unique primary key\")\n    model_repo = Column(String(100), doc=\"Model path address\")\n    model_name = Column(String(100), nullable=False, doc=\"Model name\")\n    model_factory = Column(String(\n        100), doc=\"Model vendor, determining the API key and the specific format of the model response. Currently defaults to OpenAI-API-Compatible.\")\n    model_type = Column(\n        String(100), doc=\"Model type, such as chat, embedding, rerank, tts, asr\")\n    api_key = Column(\n        String(500), doc=\"Model API key, used for authentication for some models\")\n    base_url = Column(\n        String(500), doc=\"Base URL address for requesting remote model services\")\n    max_tokens = Column(Integer, doc=\"Maximum available tokens of the model\")\n    used_token = Column(\n        Integer, doc=\"Number of tokens already used by the model in Q&A\")\n    display_name = Column(String(\n        100), doc=\"Model name directly displayed on the frontend, customized by the user\")\n    connect_status = Column(String(\n        100), doc=\"Model connectivity status of the latest detection. Optional values: Detecting, Available, Unavailable\")\n    tenant_id = Column(String(100), doc=\"Tenant ID for filtering\")\n    expected_chunk_size = Column(\n        Integer, doc=\"Expected chunk size for embedding models, used during document chunking\")\n    maximum_chunk_size = Column(\n        Integer, doc=\"Maximum chunk size for embedding models, used during document chunking\")\n    ssl_verify = Column(\n        Boolean, default=True, doc=\"Whether to verify SSL certificates when connecting to this model API. Default is true. Set to false for local services without SSL support.\")\n    chunk_batch = Column(\n        Integer, doc=\"Batch size for concurrent embedding requests during document chunking\")\n\n\nclass ToolInfo(TableBase):\n    \"\"\"\n    Information table for prompt tools\n    \"\"\"\n    __tablename__ = \"ag_tool_info_t\"\n    __table_args__ = {\"schema\": SCHEMA}\n\n    tool_id = Column(Integer, primary_key=True, nullable=False, doc=\"ID\")\n    name = Column(String(100), doc=\"Unique key name\")\n    origin_name = Column(String(100), doc=\"Original name\")\n    class_name = Column(\n        String(100), doc=\"Tool class name, used when the tool is instantiated\")\n    description = Column(String(2048), doc=\"Prompt tool description\")\n    source = Column(String(100), doc=\"Source\")\n    author = Column(String(100), doc=\"Tool author\")\n    usage = Column(String(100), doc=\"Usage\")\n    params = Column(JSON, doc=\"Tool parameter information (json)\")\n    inputs = Column(String(2048), doc=\"Prompt tool inputs description\")\n    output_type = Column(String(100), doc=\"Prompt tool output description\")\n    category = Column(String(100), doc=\"Tool category description\")\n    is_available = Column(\n        Boolean, doc=\"Whether the tool can be used under the current main service\")\n\n\nclass AgentInfo(TableBase):\n    \"\"\"\n    Information table for agents\n    \"\"\"\n    __tablename__ = \"ag_tenant_agent_t\"\n    __table_args__ = {\"schema\": SCHEMA}\n\n    agent_id = Column(Integer, Sequence(\n        \"ag_tenant_agent_t_agent_id_seq\", schema=SCHEMA), nullable=False, primary_key=True, autoincrement=True, doc=\"ID\")\n    version_no = Column(Integer, default=0, nullable=False, primary_key=True, doc=\"Version number. 0 = draft/editing state, >=1 = published snapshot\")\n    name = Column(String(100), doc=\"Agent name\")\n    display_name = Column(String(100), doc=\"Agent display name\")\n    description = Column(Text, doc=\"Description\")\n    author = Column(String(100), doc=\"Agent author\")\n    model_name = Column(String(100), doc=\"[DEPRECATED] Name of the model used, use model_id instead\")\n    model_id = Column(Integer, doc=\"Model ID, foreign key reference to model_record_t.model_id\")\n    max_steps = Column(Integer, doc=\"Maximum number of steps\")\n    duty_prompt = Column(Text, doc=\"Duty prompt content\")\n    constraint_prompt = Column(Text, doc=\"Constraint prompt content\")\n    few_shots_prompt = Column(Text, doc=\"Few shots prompt content\")\n    parent_agent_id = Column(Integer, doc=\"Parent Agent ID\")\n    tenant_id = Column(String(100), doc=\"Belonging tenant\")\n    enabled = Column(Boolean, doc=\"Enabled\")\n    provide_run_summary = Column(\n        Boolean, doc=\"Whether to provide the running summary to the manager agent\")\n    business_description = Column(\n        Text, doc=\"Manually entered by the user to describe the entire business process\")\n    business_logic_model_name = Column(String(100), doc=\"Model name used for business logic prompt generation\")\n    business_logic_model_id = Column(Integer, doc=\"Model ID used for business logic prompt generation, foreign key reference to model_record_t.model_id\")\n    group_ids = Column(String, doc=\"Agent group IDs list\")\n    is_new = Column(Boolean, default=False, doc=\"Whether this agent is marked as new for the user\")\n    current_version_no = Column(Integer, nullable=True, doc=\"Current published version number. NULL means no version published yet\")\n    ingroup_permission = Column(String(30), doc=\"In-group permission: EDIT, READ_ONLY, PRIVATE\")\n\n\nclass ToolInstance(TableBase):\n    \"\"\"\n    Information table for tenant tool configuration.\n    \"\"\"\n    __tablename__ = \"ag_tool_instance_t\"\n    __table_args__ = {\"schema\": SCHEMA}\n\n    tool_instance_id = Column(\n        Integer,\n        Sequence(\"ag_tool_instance_t_tool_instance_id_seq\", schema=SCHEMA),\n        primary_key=True,\n        nullable=False,\n        doc=\"ID\"\n    )\n    tool_id = Column(Integer, doc=\"Tenant tool ID\")\n    agent_id = Column(Integer, doc=\"Agent ID\")\n    params = Column(JSON, doc=\"Parameter configuration\")\n    user_id = Column(String(100), doc=\"User ID\")\n    tenant_id = Column(String(100), doc=\"Tenant ID\")\n    enabled = Column(Boolean, doc=\"Enabled\")\n    version_no = Column(Integer, default=0, primary_key=True, nullable=False, doc=\"Version number. 0 = draft/editing state, >=1 = published snapshot\")\n\n\nclass KnowledgeRecord(TableBase):\n    \"\"\"\n    Records the description and status information of knowledge bases\n    \"\"\"\n    __tablename__ = \"knowledge_record_t\"\n    __table_args__ = {\"schema\": \"nexent\"}\n\n    knowledge_id = Column(BigInteger, Sequence(\"knowledge_record_t_knowledge_id_seq\", schema=\"nexent\"),\n                          primary_key=True, nullable=False, doc=\"Knowledge base ID, unique primary key\")\n    index_name = Column(String(100), doc=\"Internal Elasticsearch index name\")\n    knowledge_name = Column(String(100), doc=\"User-facing knowledge base name\")\n    knowledge_describe = Column(String(3000), doc=\"Knowledge base description\")\n    knowledge_sources = Column(String(300), doc=\"Knowledge base sources\")\n    embedding_model_name = Column(String(200), doc=\"Embedding model name, used to record the embedding model used by the knowledge base\")\n    tenant_id = Column(String(100), doc=\"Tenant ID\")\n    group_ids = Column(String, doc=\"Knowledge base group IDs list\")\n    ingroup_permission = Column(\n        String(30), doc=\"In-group permission: EDIT, READ_ONLY, PRIVATE\")\n\n\nclass TenantConfig(TableBase):\n    \"\"\"\n    Tenant configuration information table\n    \"\"\"\n    __tablename__ = \"tenant_config_t\"\n    __table_args__ = {\"schema\": SCHEMA}\n\n    tenant_config_id = Column(Integer, Sequence(\n        \"tenant_config_t_tenant_config_id_seq\", schema=SCHEMA), primary_key=True, nullable=False, doc=\"ID\")\n    tenant_id = Column(String(100), doc=\"Tenant ID\")\n    user_id = Column(String(100), doc=\"User ID\")\n    value_type = Column(String(\n        100), doc=\" the data type of config_value, optional values: single/multi\", default=\"single\")\n    config_key = Column(String(100), doc=\"the key of the config\")\n    config_value = Column(Text, doc=\"the value of the config\")\n\n\nclass MemoryUserConfig(TableBase):\n    \"\"\"\n    Tenant configuration information table\n    \"\"\"\n    __tablename__ = \"memory_user_config_t\"\n    __table_args__ = {\"schema\": SCHEMA}\n\n    config_id = Column(Integer, Sequence(\"memory_user_config_t_config_id_seq\",\n                       schema=SCHEMA), primary_key=True, nullable=False, doc=\"ID\")\n    tenant_id = Column(String(100), doc=\"Tenant ID\")\n    user_id = Column(String(100), doc=\"User ID\")\n    value_type = Column(String(\n        100), doc=\" the data type of config_value, optional values: single/multi\", default=\"single\")\n    config_key = Column(String(100), doc=\"the key of the config\")\n    config_value = Column(String(10000), doc=\"the value of the config\")\n\n\nclass McpRecord(TableBase):\n    \"\"\"\n    MCP (Model Context Protocol) records table\n    \"\"\"\n    __tablename__ = \"mcp_record_t\"\n    __table_args__ = {\"schema\": SCHEMA}\n\n    mcp_id = Column(Integer, Sequence(\"mcp_record_t_mcp_id_seq\", schema=SCHEMA),\n                    primary_key=True, nullable=False, doc=\"MCP record ID, unique primary key\")\n    tenant_id = Column(String(100), doc=\"Tenant ID\")\n    user_id = Column(String(100), doc=\"User ID\")\n    mcp_name = Column(String(100), doc=\"MCP name\")\n    mcp_server = Column(String(500), doc=\"MCP server address\")\n    status = Column(\n        Boolean,\n        default=None,\n        doc=\"MCP server connection status, True=connected, False=disconnected, None=unknown\",\n    )\n    container_id = Column(\n        String(200),\n        doc=\"Docker container ID for MCP service, None for non-containerized MCP\",\n    )\n    authorization_token = Column(\n        String(500),\n        doc=\"Authorization token for MCP server authentication (e.g., Bearer token)\",\n        default=None,\n    )\n\n\nclass UserTenant(TableBase):\n    \"\"\"\n    User and tenant relationship table\n    \"\"\"\n    __tablename__ = \"user_tenant_t\"\n    __table_args__ = {\"schema\": SCHEMA}\n\n    user_tenant_id = Column(Integer, Sequence(\"user_tenant_t_user_tenant_id_seq\", schema=SCHEMA),\n                            primary_key=True, nullable=False, doc=\"User tenant relationship ID, unique primary key\")\n    user_id = Column(String(100), nullable=False, doc=\"User ID\")\n    tenant_id = Column(String(100), nullable=False, doc=\"Tenant ID\")\n    user_role = Column(String(30), doc=\"User role: SUPER_ADMIN, ADMIN, DEV, USER\")\n    user_email = Column(String(255), doc=\"User email address\")\n\n\nclass AgentRelation(TableBase):\n    \"\"\"\n    Agent parent-child relationship table\n    \"\"\"\n    __tablename__ = \"ag_agent_relation_t\"\n    __table_args__ = {\"schema\": SCHEMA}\n\n    relation_id = Column(Integer, Sequence(\"ag_agent_relation_t_relation_id_seq\", schema=SCHEMA), primary_key=True, nullable=False, doc=\"Relationship ID, primary key\")\n    selected_agent_id = Column(Integer, primary_key=True, doc=\"Selected agent ID\")\n    parent_agent_id = Column(Integer, doc=\"Parent agent ID\")\n    tenant_id = Column(String(100), doc=\"Tenant ID\")\n    version_no = Column(Integer, default=0, nullable=False, doc=\"Version number. 0 = draft/editing state, >=1 = published snapshot\")\n\n\nclass PartnerMappingId(TableBase):\n    \"\"\"\n    External-Internal ID mapping table for partners\n    \"\"\"\n    __tablename__ = \"partner_mapping_id_t\"\n    __table_args__ = {\"schema\": SCHEMA}\n\n    mapping_id = Column(Integer, Sequence(\"partner_mapping_id_t_mapping_id_seq\",\n                        schema=SCHEMA), primary_key=True, nullable=False, doc=\"ID\")\n    external_id = Column(\n        String(100), doc=\"The external id given by the outer partner\")\n    internal_id = Column(\n        Integer, doc=\"The internal id of the other database table\")\n    mapping_type = Column(String(\n        30), doc=\"Type of the external - internal mapping, value set: CONVERSATION\")\n    tenant_id = Column(String(100), doc=\"Tenant ID\")\n    user_id = Column(String(100), doc=\"User ID\")\n\n\nclass TenantInvitationCode(TableBase):\n    \"\"\"\n    Tenant invitation code information table\n    \"\"\"\n    __tablename__ = \"tenant_invitation_code_t\"\n    __table_args__ = {\"schema\": SCHEMA}\n\n    invitation_id = Column(Integer, Sequence(\"tenant_invitation_code_t_invitation_id_seq\", schema=SCHEMA),\n                           primary_key=True, nullable=False, doc=\"Invitation ID, primary key\")\n    tenant_id = Column(String(100), nullable=False,\n                       doc=\"Tenant ID, foreign key\")\n    invitation_code = Column(String(100), nullable=False,\n                             unique=True, doc=\"Invitation code\")\n    group_ids = Column(String, doc=\"Associated group IDs list\")\n    capacity = Column(Integer, nullable=False, default=1,\n                      doc=\"Invitation code capacity\")\n    expiry_date = Column(TIMESTAMP(timezone=False),\n                         doc=\"Invitation code expiry date\")\n    status = Column(String(30), nullable=False,\n                    doc=\"Invitation code status: IN_USE, EXPIRE, DISABLE, RUN_OUT\")\n    code_type = Column(String(30), nullable=False,\n                       doc=\"Invitation code type: ADMIN_INVITE, DEV_INVITE, USER_INVITE\")\n\n\nclass TenantInvitationRecord(TableBase):\n    \"\"\"\n    Tenant invitation record table\n    \"\"\"\n    __tablename__ = \"tenant_invitation_record_t\"\n    __table_args__ = {\"schema\": SCHEMA}\n\n    invitation_record_id = Column(Integer, Sequence(\"tenant_invitation_record_t_invitation_record_id_seq\", schema=SCHEMA),\n                                  primary_key=True, nullable=False, doc=\"Invitation record ID, primary key\")\n    invitation_id = Column(Integer, nullable=False,\n                           doc=\"Invitation ID, foreign key\")\n    user_id = Column(String(100), nullable=False, doc=\"User ID\")\n\n\nclass TenantGroupInfo(TableBase):\n    \"\"\"\n    Tenant group information table\n    \"\"\"\n    __tablename__ = \"tenant_group_info_t\"\n    __table_args__ = {\"schema\": SCHEMA}\n\n    group_id = Column(Integer, Sequence(\"tenant_group_info_t_group_id_seq\", schema=SCHEMA),\n                      primary_key=True, nullable=False, doc=\"Group ID, primary key\")\n    tenant_id = Column(String(100), nullable=False,\n                       doc=\"Tenant ID, foreign key\")\n    group_name = Column(String(100), nullable=False, doc=\"Group name\")\n    group_description = Column(String(500), doc=\"Group description\")\n\n\nclass TenantGroupUser(TableBase):\n    \"\"\"\n    Tenant group user membership table\n    \"\"\"\n    __tablename__ = \"tenant_group_user_t\"\n    __table_args__ = {\"schema\": SCHEMA}\n\n    group_user_id = Column(Integer, Sequence(\"tenant_group_user_t_group_user_id_seq\", schema=SCHEMA),\n                           primary_key=True, nullable=False, doc=\"Group user ID, primary key\")\n    group_id = Column(Integer, nullable=False, doc=\"Group ID, foreign key\")\n    user_id = Column(String(100), nullable=False, doc=\"User ID, foreign key\")\n\n\nclass RolePermission(SimpleTableBase):\n    \"\"\"\n    Role permission configuration table\n    Note: This table does not have audit fields (create_time, update_time, etc.)\n    \"\"\"\n    __tablename__ = \"role_permission_t\"\n    __table_args__ = {\"schema\": SCHEMA}\n\n    role_permission_id = Column(Integer, Sequence(\"role_permission_t_role_permission_id_seq\", schema=SCHEMA),\n                                primary_key=True, nullable=False, doc=\"Role permission ID, primary key\")\n    user_role = Column(String(30), nullable=False,\n                       doc=\"User role: SU, ADMIN, DEV, USER\")\n    permission_category = Column(String(30), doc=\"Permission category\")\n    permission_type = Column(String(30), doc=\"Permission type\")\n    permission_subtype = Column(String(30), doc=\"Permission subtype\")\n\n\nclass AgentVersion(TableBase):\n    \"\"\"\n    Agent version metadata table. Stores version info, release notes, and version lineage.\n    \"\"\"\n    __tablename__ = \"ag_tenant_agent_version_t\"\n    __table_args__ = {\"schema\": SCHEMA}\n\n    id = Column(BigInteger, Sequence(\"ag_tenant_agent_version_t_id_seq\", schema=SCHEMA),\n                primary_key=True, nullable=False, doc=\"Primary key, auto-increment\")\n    tenant_id = Column(String(100), nullable=False, doc=\"Tenant ID\")\n    agent_id = Column(Integer, nullable=False, doc=\"Agent ID\")\n    version_no = Column(Integer, nullable=False, doc=\"Version number, starts from 1. Does not include 0 (draft)\")\n    version_name = Column(String(100), doc=\"User-defined version name for display\")\n    release_note = Column(Text, doc=\"Release notes / publish remarks\")\n    source_version_no = Column(Integer, doc=\"Source version number. If this version is a rollback, record the source version\")\n    source_type = Column(String(30), doc=\"Source type: NORMAL (normal publish) / ROLLBACK (rollback and republish)\")\n    status = Column(String(30), default=\"RELEASED\", doc=\"Version status: RELEASED / DISABLED / ARCHIVED\")\n\n\nclass UserTokenInfo(TableBase):\n    \"\"\"\n    User token (AK/SK) information table\n    \"\"\"\n    __tablename__ = \"user_token_info_t\"\n    __table_args__ = {\"schema\": SCHEMA}\n\n    token_id = Column(Integer, Sequence(\"user_token_info_t_token_id_seq\", schema=SCHEMA),\n                      primary_key=True, nullable=False, doc=\"Token ID, unique primary key\")\n    access_key = Column(String(100), nullable=False, doc=\"Access Key (AK)\")\n    user_id = Column(String(100), nullable=False, doc=\"User ID who owns this token\")\n\n\nclass UserTokenUsageLog(TableBase):\n    \"\"\"\n    User token usage log table\n    \"\"\"\n    __tablename__ = \"user_token_usage_log_t\"\n    __table_args__ = {\"schema\": SCHEMA}\n\n    token_usage_id = Column(Integer, Sequence(\"user_token_usage_log_t_token_usage_id_seq\", schema=SCHEMA),\n                            primary_key=True, nullable=False, doc=\"Token usage log ID, unique primary key\")\n    token_id = Column(Integer, nullable=False, doc=\"Foreign key to user_token_info_t.token_id\")\n    call_function_name = Column(String(100), doc=\"API function name being called\")\n    related_id = Column(Integer, doc=\"Related resource ID (e.g., conversation_id)\")\n    meta_data = Column(JSONB, doc=\"Additional metadata for this usage log entry, stored as JSON\")\n"
  },
  {
    "path": "backend/database/group_db.py",
    "content": "\"\"\"\nDatabase operations for group management\n\"\"\"\nfrom typing import Any, Dict, List, Optional, Union\n\nfrom database.client import as_dict, get_db_session\nfrom database.db_models import TenantGroupInfo, TenantGroupUser\nfrom utils.str_utils import convert_string_to_list\n\n\ndef query_groups(group_id: Union[int, str, List[int]]) -> Union[Optional[Dict[str, Any]], List[Dict[str, Any]]]:\n    \"\"\"\n    Query group(s) by group ID(s)\n\n    Args:\n        group_id: Group ID(s) - can be int, comma-separated string, or list of ints\n\n    Returns:\n        Single group dict if int provided, list of group dicts if string/list provided\n    \"\"\"\n    # Convert input to list of integers\n    if isinstance(group_id, int):\n        group_ids = [group_id]\n        return_single = True\n    elif isinstance(group_id, str):\n        group_ids = convert_string_to_list(group_id)\n        return_single = False\n    elif isinstance(group_id, list):\n        group_ids = group_id\n        return_single = False\n    else:\n        raise ValueError(\"group_id must be int, str, or List[int]\")\n\n    if not group_ids:\n        return [] if not return_single else None\n\n    with get_db_session() as session:\n        result = session.query(TenantGroupInfo).filter(\n            TenantGroupInfo.group_id.in_(group_ids),\n            TenantGroupInfo.delete_flag == \"N\"\n        ).all()\n\n        groups = [as_dict(record) for record in result]\n\n        # Return single result if single ID was provided\n        if return_single:\n            return groups[0] if groups else None\n        else:\n            return groups\n\n\ndef query_groups_by_tenant(tenant_id: str, page: Optional[int] = 1, page_size: Optional[int] = 20,\n                           sort_by: str = \"created_at\", sort_order: str = \"desc\") -> Dict[str, Any]:\n    \"\"\"\n    Query groups for a tenant with pagination and sorting\n\n    Args:\n        tenant_id (str): Tenant ID\n        page (Optional[int]): Page number (1-based). If None, returns all data\n        page_size (Optional[int]): Number of items per page. If None, returns all data\n        sort_by (str): Field to sort by\n        sort_order (str): Sort order (asc or desc)\n\n    Returns:\n        Dict[str, Any]: Dictionary containing groups list and total count\n    \"\"\"\n    with get_db_session() as session:\n        # Get total count\n        total = session.query(TenantGroupInfo).filter(\n            TenantGroupInfo.tenant_id == tenant_id,\n            TenantGroupInfo.delete_flag == \"N\"\n        ).count()\n\n        # Build base query\n        query = session.query(TenantGroupInfo).filter(\n            TenantGroupInfo.tenant_id == tenant_id,\n            TenantGroupInfo.delete_flag == \"N\"\n        )\n\n        # Add sorting\n        if sort_by == \"created_at\":\n            if sort_order == \"desc\":\n                query = query.order_by(TenantGroupInfo.create_time.desc())\n            else:\n                query = query.order_by(TenantGroupInfo.create_time.asc())\n\n        # Apply pagination only if both page and page_size are provided\n        if page is not None and page_size is not None:\n            offset = (page - 1) * page_size\n            result = query.offset(offset).limit(page_size).all()\n        else:\n            # Return all results when pagination is not specified\n            result = query.all()\n\n        return {\n            \"groups\": [as_dict(record) for record in result],\n            \"total\": total\n        }\n\n\ndef add_group(tenant_id: str, group_name: str, group_description: Optional[str] = None,\n              created_by: Optional[str] = None) -> int:\n    \"\"\"\n    Add a new group\n\n    Args:\n        tenant_id (str): Tenant ID\n        group_name (str): Group name\n        group_description (Optional[str]): Group description\n        created_by (Optional[str]): Created by user\n\n    Returns:\n        int: Created group ID\n    \"\"\"\n    with get_db_session() as session:\n        group = TenantGroupInfo(\n            tenant_id=tenant_id,\n            group_name=group_name,\n            group_description=group_description,\n            created_by=created_by,\n            updated_by=created_by\n        )\n        session.add(group)\n        session.flush()  # To get the ID\n        return group.group_id\n\n\ndef modify_group(group_id: int, updates: Dict[str, Any], updated_by: Optional[str] = None) -> bool:\n    \"\"\"\n    Modify group information\n\n    Args:\n        group_id (int): Group ID\n        updates (Dict[str, Any]): Fields to update\n        updated_by (Optional[str]): Updated by user\n\n    Returns:\n        bool: Whether update was successful\n    \"\"\"\n    with get_db_session() as session:\n        update_data = updates.copy()\n        if updated_by:\n            update_data[\"updated_by\"] = updated_by\n\n        result = session.query(TenantGroupInfo).filter(\n            TenantGroupInfo.group_id == group_id,\n            TenantGroupInfo.delete_flag == \"N\"\n        ).update(update_data, synchronize_session=False)\n\n        return result > 0\n\n\ndef remove_group(group_id: int, updated_by: Optional[str] = None) -> bool:\n    \"\"\"\n    Remove group (soft delete) and all its user relationships\n\n    Args:\n        group_id (int): Group ID\n        updated_by (Optional[str]): Updated by user\n\n    Returns:\n        bool: Whether removal was successful\n    \"\"\"\n    with get_db_session() as session:\n        update_data: Dict[str, Any] = {\"delete_flag\": \"Y\"}\n        if updated_by:\n            update_data[\"updated_by\"] = updated_by\n\n        # Soft delete the group\n        result = session.query(TenantGroupInfo).filter(\n            TenantGroupInfo.group_id == group_id,\n            TenantGroupInfo.delete_flag == \"N\"\n        ).update(update_data, synchronize_session=False)\n\n        # Soft delete all user-group relationships for this group\n        session.query(TenantGroupUser).filter(\n            TenantGroupUser.group_id == group_id,\n            TenantGroupUser.delete_flag == \"N\"\n        ).update(update_data, synchronize_session=False)\n\n        return result > 0\n\n\ndef add_user_to_group(group_id: int, user_id: str, created_by: Optional[str] = None) -> int:\n    \"\"\"\n    Add user to group\n\n    Args:\n        group_id (int): Group ID\n        user_id (str): User ID\n        created_by (Optional[str]): Created by user\n\n    Returns:\n        int: Created group user ID\n    \"\"\"\n    with get_db_session() as session:\n        group_user = TenantGroupUser(\n            group_id=group_id,\n            user_id=user_id,\n            created_by=created_by,\n            updated_by=created_by\n        )\n        session.add(group_user)\n        session.flush()  # To get the ID\n        return group_user.group_user_id\n\n\ndef remove_user_from_group(group_id: int, user_id: str, updated_by: Optional[str] = None) -> bool:\n    \"\"\"\n    Remove user from group\n\n    Args:\n        group_id (int): Group ID\n        user_id (str): User ID\n        updated_by (Optional[str]): Updated by user\n\n    Returns:\n        bool: Whether removal was successful\n    \"\"\"\n    with get_db_session() as session:\n        update_data: Dict[str, Any] = {\"delete_flag\": \"Y\"}\n        if updated_by:\n            update_data[\"updated_by\"] = updated_by\n\n        result = session.query(TenantGroupUser).filter(\n            TenantGroupUser.group_id == group_id,\n            TenantGroupUser.user_id == user_id,\n            TenantGroupUser.delete_flag == \"N\"\n        ).update(update_data, synchronize_session=False)\n\n        return result > 0\n\n\ndef query_group_users(group_id: int) -> List[Dict[str, Any]]:\n    \"\"\"\n    Query all users in a group\n\n    Args:\n        group_id (int): Group ID\n\n    Returns:\n        List[Dict[str, Any]]: List of group user records\n    \"\"\"\n    with get_db_session() as session:\n        result = session.query(TenantGroupUser).filter(\n            TenantGroupUser.group_id == group_id,\n            TenantGroupUser.delete_flag == \"N\"\n        ).all()\n\n        return [as_dict(record) for record in result]\n\n\ndef query_group_ids_by_user(user_id: str) -> List[int]:\n    \"\"\"\n    Query all group IDs for a user\n\n    Args:\n        user_id (str): User ID\n\n    Returns:\n        List[int]: List of group IDs\n    \"\"\"\n    with get_db_session() as session:\n        result = session.query(TenantGroupUser.group_id).filter(\n            TenantGroupUser.user_id == user_id,\n            TenantGroupUser.delete_flag == \"N\"\n        ).all()\n\n        return [record[0] for record in result]\n\n\ndef query_groups_by_user(user_id: str) -> List[Dict[str, Any]]:\n    \"\"\"\n    Query all groups for a user\n\n    Args:\n        user_id (str): User ID\n\n    Returns:\n        List[Dict[str, Any]]: List of group records\n    \"\"\"\n    with get_db_session() as session:\n        result = session.query(TenantGroupInfo).join(\n            TenantGroupUser,\n            TenantGroupInfo.group_id == TenantGroupUser.group_id\n        ).filter(\n            TenantGroupUser.user_id == user_id,\n            TenantGroupUser.delete_flag == \"N\",\n            TenantGroupInfo.delete_flag == \"N\"\n        ).all()\n\n        return [as_dict(record) for record in result]\n\n\ndef check_user_in_group(user_id: str, group_id: int) -> bool:\n    \"\"\"\n    Check if user is in a specific group\n\n    Args:\n        user_id (str): User ID\n        group_id (int): Group ID\n\n    Returns:\n        bool: Whether user is in the group\n    \"\"\"\n    with get_db_session() as session:\n        result = session.query(TenantGroupUser).filter(\n            TenantGroupUser.group_id == group_id,\n            TenantGroupUser.user_id == user_id,\n            TenantGroupUser.delete_flag == \"N\"\n        ).first()\n\n        return result is not None\n\n\ndef count_group_users(group_id: int) -> int:\n    \"\"\"\n    Count users in a group\n\n    Args:\n        group_id (int): Group ID\n\n    Returns:\n        int: Number of users in the group\n    \"\"\"\n    with get_db_session() as session:\n        result = session.query(TenantGroupUser).filter(\n            TenantGroupUser.group_id == group_id,\n            TenantGroupUser.delete_flag == \"N\"\n        ).count()\n\n        return result\n\n\ndef remove_group_users(group_id: int, removed_by: Optional[str] = None) -> int:\n    \"\"\"\n    Remove all users from a group (soft delete all group-user relationships)\n\n    Args:\n        group_id (int): Group ID\n        removed_by (Optional[str]): User who performed the removal\n\n    Returns:\n        int: Number of group memberships removed\n    \"\"\"\n    with get_db_session() as session:\n        update_data: Dict[str, Any] = {\"delete_flag\": \"Y\"}\n        if removed_by:\n            update_data[\"updated_by\"] = removed_by\n\n        result = session.query(TenantGroupUser).filter(\n            TenantGroupUser.group_id == group_id,\n            TenantGroupUser.delete_flag == \"N\"\n        ).update(update_data, synchronize_session=False)\n\n        return result\n\n\ndef remove_user_from_all_groups(user_id: str, removed_by: str) -> int:\n    \"\"\"\n    Remove user from all groups (soft delete)\n\n    Args:\n        user_id (str): User ID to remove\n        removed_by (str): User who performed the removal\n\n    Returns:\n        int: Number of group memberships removed\n    \"\"\"\n    with get_db_session() as session:\n        result = session.query(TenantGroupUser).filter(\n            TenantGroupUser.user_id == user_id,\n            TenantGroupUser.delete_flag == \"N\"\n        ).update({\n            \"delete_flag\": \"Y\",\n            \"updated_by\": removed_by,\n            \"update_time\": \"NOW()\"  # This will be handled by the database trigger\n        })\n\n        return result\n\n\ndef check_group_name_exists(tenant_id: str, group_name: str, exclude_group_id: Optional[int] = None) -> bool:\n    \"\"\"\n    Check if a group with the given name already exists in the tenant\n\n    Args:\n        tenant_id (str): Tenant ID\n        group_name (str): Group name to check\n        exclude_group_id (Optional[int]): Group ID to exclude (for update operations)\n\n    Returns:\n        bool: True if group name exists, False otherwise\n    \"\"\"\n    with get_db_session() as session:\n        query = session.query(TenantGroupInfo).filter(\n            TenantGroupInfo.tenant_id == tenant_id,\n            TenantGroupInfo.group_name == group_name,\n            TenantGroupInfo.delete_flag == \"N\"\n        )\n\n        # Exclude specific group ID for update operations\n        if exclude_group_id is not None:\n            query = query.filter(TenantGroupInfo.group_id != exclude_group_id)\n\n        result = query.first()\n        return result is not None\n"
  },
  {
    "path": "backend/database/invitation_db.py",
    "content": "\"\"\"\nDatabase operations for invitation code management\n\"\"\"\nfrom typing import Any, Dict, List, Optional\n\nfrom database.client import as_dict, get_db_session\nfrom database.db_models import TenantInvitationCode, TenantInvitationRecord\nfrom utils.str_utils import convert_list_to_string\n\n\ndef query_invitation_by_code(invitation_code: str) -> Optional[Dict[str, Any]]:\n    \"\"\"\n    Query invitation by invitation code\n\n    Args:\n        invitation_code (str): Invitation code\n\n    Returns:\n        Optional[Dict[str, Any]]: Invitation record\n    \"\"\"\n    with get_db_session() as session:\n        result = session.query(TenantInvitationCode).filter(\n            TenantInvitationCode.invitation_code == invitation_code,\n            TenantInvitationCode.delete_flag == \"N\"\n        ).first()\n\n        if result:\n            return as_dict(result)\n        return None\n\n\ndef query_invitation_by_id(invitation_id: int) -> Optional[Dict[str, Any]]:\n    \"\"\"\n    Query invitation by ID\n\n    Args:\n        invitation_id (int): Invitation ID\n\n    Returns:\n        Optional[Dict[str, Any]]: Invitation record\n    \"\"\"\n    with get_db_session() as session:\n        result = session.query(TenantInvitationCode).filter(\n            TenantInvitationCode.invitation_id == invitation_id,\n            TenantInvitationCode.delete_flag == \"N\"\n        ).first()\n\n        if result:\n            return as_dict(result)\n        return None\n\n\ndef query_invitations_by_tenant(tenant_id: str) -> List[Dict[str, Any]]:\n    \"\"\"\n    Query all invitations for a tenant\n\n    Args:\n        tenant_id (str): Tenant ID\n\n    Returns:\n        List[Dict[str, Any]]: List of invitation records\n    \"\"\"\n    with get_db_session() as session:\n        result = session.query(TenantInvitationCode).filter(\n            TenantInvitationCode.tenant_id == tenant_id,\n            TenantInvitationCode.delete_flag == \"N\"\n        ).all()\n\n        return [as_dict(record) for record in result]\n\n\ndef add_invitation(tenant_id: str, invitation_code: str, code_type: str, group_ids: Optional[List[int]] = None,\n                          capacity: int = 1, expiry_date: Optional[str] = None,\n                          status: str = \"IN_USE\", created_by: Optional[str] = None) -> int:\n    \"\"\"\n    Add a new invitation\n\n    Args:\n        tenant_id (str): Tenant ID\n        invitation_code (str): Invitation code\n        code_type (str): Invitation code type (ADMIN_INVITE, DEV_INVITE, USER_INVITE)\n        group_ids (Optional[List[int]]): Associated group IDs\n        capacity (int): Invitation capacity\n        expiry_date (Optional[str]): Expiry date\n        status (str): Status\n        created_by (Optional[str]): Created by user\n\n    Returns:\n        int: Created invitation ID\n    \"\"\"\n    with get_db_session() as session:\n        invitation = TenantInvitationCode(\n            tenant_id=tenant_id,\n            invitation_code=invitation_code,\n            code_type=code_type,\n            group_ids=convert_list_to_string(group_ids),\n            capacity=capacity,\n            expiry_date=expiry_date,\n            status=status,\n            created_by=created_by,\n            updated_by=created_by\n        )\n        session.add(invitation)\n        session.flush()  # To get the ID\n        return invitation.invitation_id\n\n\ndef modify_invitation(invitation_id: int, updates: Dict[str, Any], updated_by: Optional[str] = None) -> bool:\n    \"\"\"\n    Modify invitation\n\n    Args:\n        invitation_id (int): Invitation ID\n        updates (Dict[str, Any]): Fields to update\n        updated_by (Optional[str]): Updated by user\n\n    Returns:\n        bool: Whether update was successful\n    \"\"\"\n    with get_db_session() as session:\n        update_data = updates.copy()\n        if updated_by:\n            update_data[\"updated_by\"] = updated_by\n\n        # Convert group_ids list to string if present\n        if \"group_ids\" in update_data and isinstance(update_data[\"group_ids\"], list):\n            update_data[\"group_ids\"] = convert_list_to_string(update_data[\"group_ids\"])\n\n        result = session.query(TenantInvitationCode).filter(\n            TenantInvitationCode.invitation_id == invitation_id,\n            TenantInvitationCode.delete_flag == \"N\"\n        ).update(update_data, synchronize_session=False)\n\n        return result > 0\n\n\ndef remove_invitation(invitation_id: int, updated_by: Optional[str] = None) -> bool:\n    \"\"\"\n    Remove invitation (soft delete)\n\n    Args:\n        invitation_id (int): Invitation ID\n        updated_by (Optional[str]): Updated by user\n\n    Returns:\n        bool: Whether removal was successful\n    \"\"\"\n    with get_db_session() as session:\n        update_data: Dict[str, Any] = {\"delete_flag\": \"Y\"}\n        if updated_by:\n            update_data[\"updated_by\"] = updated_by\n\n        result = session.query(TenantInvitationCode).filter(\n            TenantInvitationCode.invitation_id == invitation_id,\n            TenantInvitationCode.delete_flag == \"N\"\n        ).update(update_data, synchronize_session=False)\n\n        return result > 0\n\n\ndef query_invitation_records(invitation_id: int) -> List[Dict[str, Any]]:\n    \"\"\"\n    Query invitation records by invitation ID\n\n    Args:\n        invitation_id (int): Invitation ID\n\n    Returns:\n        List[Dict[str, Any]]: List of invitation records\n    \"\"\"\n    with get_db_session() as session:\n        result = session.query(TenantInvitationRecord).filter(\n            TenantInvitationRecord.invitation_id == invitation_id,\n            TenantInvitationRecord.delete_flag == \"N\"\n        ).all()\n\n        return [as_dict(record) for record in result]\n\n\ndef add_invitation_record(invitation_id: int, user_id: str, created_by: Optional[str] = None) -> int:\n    \"\"\"\n    Add invitation usage record\n\n    Args:\n        invitation_id (int): Invitation ID\n        user_id (str): User ID\n        created_by (Optional[str]): Created by user\n\n    Returns:\n        int: Created invitation record ID\n    \"\"\"\n    with get_db_session() as session:\n        record = TenantInvitationRecord(\n            invitation_id=invitation_id,\n            user_id=user_id,\n            created_by=created_by,\n            updated_by=created_by\n        )\n        session.add(record)\n        session.flush()  # To get the ID\n        return record.invitation_record_id\n\n\ndef query_invitation_records_by_user(user_id: str) -> List[Dict[str, Any]]:\n    \"\"\"\n    Query invitation records by user ID\n\n    Args:\n        user_id (str): User ID\n\n    Returns:\n        List[Dict[str, Any]]: List of invitation records\n    \"\"\"\n    with get_db_session() as session:\n        result = session.query(TenantInvitationRecord).filter(\n            TenantInvitationRecord.user_id == user_id,\n            TenantInvitationRecord.delete_flag == \"N\"\n        ).all()\n\n        return [as_dict(record) for record in result]\n\n\ndef count_invitation_usage(invitation_id: int) -> int:\n    \"\"\"\n    Count usage for an invitation code\n\n    Args:\n        invitation_id (int): Invitation ID\n\n    Returns:\n        int: Number of times the invitation has been used\n    \"\"\"\n    with get_db_session() as session:\n        result = session.query(TenantInvitationRecord).filter(\n            TenantInvitationRecord.invitation_id == invitation_id,\n            TenantInvitationRecord.delete_flag == \"N\"\n        ).count()\n\n        return result\n\n\ndef query_invitation_status(invitation_code: str) -> Optional[str]:\n    \"\"\"\n    Query invitation status\n\n    Args:\n        invitation_code (str): Invitation code\n\n    Returns:\n        Optional[str]: Invitation status if exists, None otherwise\n    \"\"\"\n    with get_db_session() as session:\n        invitation = session.query(TenantInvitationCode).filter(\n            TenantInvitationCode.invitation_code == invitation_code,\n            TenantInvitationCode.delete_flag == \"N\"\n        ).first()\n\n        return invitation.status if invitation else None\n\n\ndef query_invitations_with_pagination(\n    tenant_id: Optional[str] = None,\n    page: int = 1,\n    page_size: int = 20,\n    sort_by: Optional[str] = None,\n    sort_order: Optional[str] = None\n) -> Dict[str, Any]:\n    \"\"\"\n    Query invitations with pagination support, including usage count\n\n    Args:\n        tenant_id (Optional[str]): Tenant ID to filter by, None for all tenants\n        page (int): Page number (1-based)\n        page_size (int): Number of items per page\n        sort_by (Optional[str]): Sort field ('create_time', 'update_time', etc.)\n        sort_order (Optional[str]): Sort order ('asc', 'desc')\n\n    Returns:\n        Dict[str, Any]: Dictionary containing items list and total count\n    \"\"\"\n    from sqlalchemy import func, outerjoin\n\n    with get_db_session() as session:\n        # Create subquery to count usage records per invitation\n        usage_subquery = session.query(\n            TenantInvitationRecord.invitation_id,\n            func.count(TenantInvitationRecord.invitation_record_id).label('used_times')\n        ).filter(\n            TenantInvitationRecord.delete_flag == \"N\"\n        ).group_by(TenantInvitationRecord.invitation_id).subquery()\n\n        # Main query with left join to get usage counts\n        query = session.query(\n            TenantInvitationCode,\n            func.coalesce(usage_subquery.c.used_times, 0).label('used_times')\n        ).outerjoin(\n            usage_subquery,\n            TenantInvitationCode.invitation_id == usage_subquery.c.invitation_id\n        ).filter(\n            TenantInvitationCode.delete_flag == \"N\"\n        )\n\n        # Apply tenant filter if provided\n        if tenant_id:\n            query = query.filter(TenantInvitationCode.tenant_id == tenant_id)\n\n        # Apply sorting\n        if sort_by and hasattr(TenantInvitationCode, sort_by):\n            sort_column = getattr(TenantInvitationCode, sort_by)\n            if sort_order and sort_order.lower() == 'desc':\n                query = query.order_by(sort_column.desc())\n            else:\n                query = query.order_by(sort_column.asc())\n\n        # Get total count\n        total = query.count()\n\n        # Apply pagination\n        offset = (page - 1) * page_size\n        results = query.offset(offset).limit(page_size).all()\n\n        # Convert to dict format and add used_times\n        items = []\n        for invitation_record, used_times in results:\n            invitation_dict = as_dict(invitation_record)\n            invitation_dict['used_times'] = int(used_times)\n            items.append(invitation_dict)\n\n        return {\n            \"items\": items,\n            \"total\": total,\n            \"page\": page,\n            \"page_size\": page_size,\n            # Ceiling division\n            \"total_pages\": (total + page_size - 1) // page_size\n        }\n"
  },
  {
    "path": "backend/database/knowledge_db.py",
    "content": "from typing import Any, Dict, List, Optional\n\nimport uuid\nfrom sqlalchemy import func\nfrom sqlalchemy.exc import SQLAlchemyError\n\nfrom database.client import as_dict, get_db_session\nfrom database.db_models import KnowledgeRecord\nfrom utils.str_utils import convert_list_to_string\n\n\ndef _generate_index_name(knowledge_id: int) -> str:\n    \"\"\"\n    Generate a new internal index_name based on knowledge_id and a UUID suffix.\n    The suffix contains only digits and lowercase letters.\n    \"\"\"\n    suffix = uuid.uuid4().hex\n    return f\"{knowledge_id}-{suffix}\"\n\n\ndef create_knowledge_record(query: Dict[str, Any]) -> Dict[str, Any]:\n    \"\"\"\n    Create a knowledge base record\n\n    Args:\n        query: Dictionary containing all knowledge base data, must include:\n            - index_name: Knowledge base name\n            - knowledge_describe: Knowledge base description\n            - knowledge_status: Knowledge base status\n            - user_id: Optional user ID for created_by and updated_by fields\n            - tenant_id: Optional tenant ID for created_by and updated_by fields\n            - embedding_model_name: embedding model name for the knowledge base\n\n    Returns:\n        Dict[str, Any]: Dictionary with at least 'knowledge_id' and 'index_name'\n    \"\"\"\n    try:\n        with get_db_session() as session:\n            # Determine user-facing knowledge base name\n            knowledge_name = query.get(\n                \"knowledge_name\") or query.get(\"index_name\")\n\n            # Prepare data dictionary\n            group_ids = query.get(\"group_ids\")\n            data: Dict[str, Any] = {\n                \"knowledge_describe\": query.get(\"knowledge_describe\", \"\"),\n                \"created_by\": query.get(\"user_id\"),\n                \"updated_by\": query.get(\"user_id\"),\n                \"knowledge_sources\": query.get(\"knowledge_sources\", \"elasticsearch\"),\n                \"tenant_id\": query.get(\"tenant_id\"),\n                \"embedding_model_name\": query.get(\"embedding_model_name\"),\n                \"knowledge_name\": knowledge_name,\n                \"group_ids\": convert_list_to_string(group_ids) if isinstance(group_ids, list) else group_ids,\n                \"ingroup_permission\": query.get(\"ingroup_permission\"),\n            }\n\n            # For backward compatibility: if caller explicitly provides index_name,\n            # respect it and do not regenerate; otherwise generate after flush.\n            explicit_index_name = query.get(\"index_name\")\n            if explicit_index_name:\n                data[\"index_name\"] = explicit_index_name\n\n            # Create new record\n            new_record = KnowledgeRecord(**data)\n            session.add(new_record)\n            session.flush()\n\n            # Generate internal index_name for new records when not explicitly provided\n            if not explicit_index_name:\n                generated_index_name = _generate_index_name(\n                    new_record.knowledge_id)\n                new_record.index_name = generated_index_name\n                session.flush()\n\n            session.commit()\n            return {\n                \"knowledge_id\": new_record.knowledge_id,\n                \"index_name\": new_record.index_name,\n                \"knowledge_name\": new_record.knowledge_name,\n            }\n    except SQLAlchemyError as e:\n        raise e\n\n\ndef upsert_knowledge_record(query: Dict[str, Any]) -> Dict[str, Any]:\n    \"\"\"\n    Create or update a knowledge base record (upsert operation).\n    If a record with the same index_name and tenant_id exists, update it.\n    Otherwise, create a new record.\n\n    Args:\n        query: Dictionary containing knowledge base data, must include:\n            - index_name: Knowledge base name (used as unique identifier)\n            - tenant_id: Tenant ID\n            - knowledge_name: User-facing knowledge base name\n            - knowledge_describe: Knowledge base description\n            - knowledge_sources: Knowledge base sources (optional, default 'elasticsearch')\n            - embedding_model_name: Embedding model name\n            - user_id: User ID for created_by and updated_by fields\n\n    Returns:\n        Dict[str, Any]: Dictionary with 'knowledge_id' and 'index_name'\n    \"\"\"\n    try:\n        with get_db_session() as session:\n            # Check if record exists\n            existing_record = session.query(KnowledgeRecord).filter(\n                KnowledgeRecord.index_name == query['index_name'],\n                KnowledgeRecord.tenant_id == query['tenant_id'],\n                KnowledgeRecord.delete_flag != 'Y'\n            ).first()\n\n            if existing_record:\n                # Update existing record\n                existing_record.knowledge_name = query.get('knowledge_name') or query.get('index_name')\n                existing_record.knowledge_describe = query.get('knowledge_describe', '')\n                existing_record.knowledge_sources = query.get('knowledge_sources', 'elasticsearch')\n                existing_record.embedding_model_name = query.get('embedding_model_name')\n                existing_record.updated_by = query.get('user_id')\n                existing_record.update_time = func.current_timestamp()\n\n                session.flush()\n                session.commit()\n                return {\n                    \"knowledge_id\": existing_record.knowledge_id,\n                    \"index_name\": existing_record.index_name,\n                    \"knowledge_name\": existing_record.knowledge_name,\n                }\n            else:\n                # Create new record\n                return create_knowledge_record(query)\n\n    except SQLAlchemyError as e:\n        raise e\n\n\ndef update_knowledge_record(query: Dict[str, Any]) -> bool:\n    \"\"\"\n    Update a knowledge base record\n\n    Args:\n        query: Dictionary containing update data, must include:\n            - index_name: Knowledge base index name (used as unique identifier)\n            - knowledge_name: New user-facing knowledge base name (optional)\n            - knowledge_describe: Knowledge base description (optional)\n            - ingroup_permission: Permission level - EDIT, READ_ONLY, or PRIVATE (optional)\n            - group_ids: List of group IDs to assign (optional)\n            - user_id: Optional user ID for updated_by field\n\n    Returns:\n        bool: Whether the operation was successful\n    \"\"\"\n    try:\n        with get_db_session() as session:\n            record = session.query(KnowledgeRecord).filter(\n                KnowledgeRecord.index_name == query['index_name'],\n                KnowledgeRecord.delete_flag != 'Y'\n            ).first()\n\n            if not record:\n                return False\n\n            record.update_time = func.current_timestamp()\n\n            # Update knowledge name\n            if query.get(\"knowledge_name\"):\n                record.knowledge_name = query[\"knowledge_name\"]\n\n            # Update description\n            if query.get(\"knowledge_describe\"):\n                record.knowledge_describe = query[\"knowledge_describe\"]\n\n            # Update permission\n            if query.get(\"ingroup_permission\"):\n                record.ingroup_permission = query[\"ingroup_permission\"]\n\n            # Update group IDs\n            if query.get(\"group_ids\") is not None:\n                record.group_ids = query[\"group_ids\"]\n\n            # Update timestamp and user\n            if query.get(\"user_id\"):\n                record.updated_by = query[\"user_id\"]\n\n            session.flush()\n            session.commit()\n            return True\n    except SQLAlchemyError as e:\n        raise e\n\n\ndef delete_knowledge_record(query: Dict[str, Any]) -> bool:\n    \"\"\"\n    Delete a knowledge base record (soft delete)\n\n    Args:\n        query: Dictionary containing delete data, must include:\n            - index_name: Knowledge base name\n            - user_id: Optional user ID for updated_by field\n\n    Returns:\n        bool: Whether the operation was successful\n    \"\"\"\n    try:\n        with get_db_session() as session:\n            # Find the record to update\n            record = session.query(KnowledgeRecord).filter(\n                KnowledgeRecord.index_name == query['index_name'],\n                KnowledgeRecord.delete_flag != 'Y'\n            ).first()\n\n            if not record:\n                return False\n\n            # Update record for soft delete\n            record.delete_flag = 'Y'\n            record.update_time = func.current_timestamp()\n            if query.get('user_id'):\n                record.updated_by = query['user_id']\n\n            session.flush()\n            session.commit()\n            return True\n    except SQLAlchemyError as e:\n        raise e\n\n\ndef get_knowledge_record(query: Optional[Dict[str, Any]] = None) -> Dict[str, Any]:\n    \"\"\"\n    Get a knowledge base record\n\n    Args:\n        query: Dictionary containing filter conditions, optional parameter.\n               If 'tenant_id' is provided, it will filter by tenant.\n               If 'tenant_id' is not provided, it will search across all tenants.\n\n    Returns:\n        Dict[str, Any]: Knowledge base record\n    \"\"\"\n    try:\n        with get_db_session() as session:\n            db_query = session.query(KnowledgeRecord).filter(\n                KnowledgeRecord.delete_flag != 'Y',\n            )\n\n            # Support both index_name and knowledge_name queries\n            if 'index_name' in query:\n                db_query = db_query.filter(KnowledgeRecord.index_name == query['index_name'])\n            elif 'knowledge_name' in query:\n                db_query = db_query.filter(KnowledgeRecord.knowledge_name == query['knowledge_name'])\n\n            # Add tenant_id filter only if it is provided in the query\n            if 'tenant_id' in query and query['tenant_id'] is not None:\n                db_query = db_query.filter(\n                    KnowledgeRecord.tenant_id == query['tenant_id'])\n\n            result = db_query.first()\n\n            if result:\n                return as_dict(result)\n            return {}\n    except SQLAlchemyError as e:\n        raise e\n\n\ndef get_knowledge_info_by_knowledge_ids(knowledge_ids: List[str]) -> List[Dict[str, Any]]:\n    try:\n        with get_db_session() as session:\n            result = session.query(KnowledgeRecord).filter(\n                KnowledgeRecord.knowledge_id.in_(knowledge_ids),\n                KnowledgeRecord.delete_flag != 'Y'\n            ).all()\n            knowledge_info = []\n            for item in result:\n                knowledge_info.append({\n                    \"knowledge_id\": item.knowledge_id,\n                    \"index_name\": item.index_name,\n                    \"knowledge_name\": item.knowledge_name,\n                    \"knowledge_sources\": item.knowledge_sources,\n                    \"embedding_model_name\": item.embedding_model_name\n                })\n            return knowledge_info\n    except SQLAlchemyError as e:\n        raise e\n\n\ndef get_knowledge_ids_by_index_names(index_names: List[str]) -> List[str]:\n    try:\n        with get_db_session() as session:\n            result = session.query(KnowledgeRecord.knowledge_id).filter(\n                KnowledgeRecord.index_name.in_(index_names),\n                KnowledgeRecord.delete_flag != 'Y'\n            ).all()\n            return [item.knowledge_id for item in result]\n    except SQLAlchemyError as e:\n        raise e\n\n\ndef get_knowledge_info_by_tenant_id(tenant_id: str) -> List[Dict[str, Any]]:\n    try:\n        with get_db_session() as session:\n            result = session.query(KnowledgeRecord).filter(\n                KnowledgeRecord.tenant_id == tenant_id,\n                KnowledgeRecord.delete_flag != 'Y'\n            ).all()\n            return [as_dict(item) for item in result]\n    except SQLAlchemyError as e:\n        raise e\n\n\ndef get_knowledge_info_by_tenant_and_source(tenant_id: str, knowledge_sources: str) -> List[Dict[str, Any]]:\n    \"\"\"\n    Get knowledge base records by tenant ID and knowledge sources.\n\n    Args:\n        tenant_id: Tenant ID to filter by\n        knowledge_sources: Knowledge sources to filter by (e.g., 'datamate')\n\n    Returns:\n        List[Dict[str, Any]]: List of knowledge base record dictionaries\n    \"\"\"\n    try:\n        with get_db_session() as session:\n            result = session.query(KnowledgeRecord).filter(\n                KnowledgeRecord.tenant_id == tenant_id,\n                KnowledgeRecord.knowledge_sources == knowledge_sources,\n                KnowledgeRecord.delete_flag != 'Y'\n            ).all()\n            return [as_dict(item) for item in result]\n    except SQLAlchemyError as e:\n        raise e\n\n\ndef update_model_name_by_index_name(index_name: str, embedding_model_name: str, tenant_id: str, user_id: str) -> bool:\n    try:\n        with get_db_session() as session:\n            session.query(KnowledgeRecord).filter(\n                KnowledgeRecord.index_name == index_name,\n                KnowledgeRecord.delete_flag != 'Y',\n                KnowledgeRecord.tenant_id == tenant_id\n            ).update({\"embedding_model_name\": embedding_model_name, \"updated_by\": user_id})\n            session.commit()\n            return True\n    except SQLAlchemyError as e:\n        raise e\n\n\ndef get_index_name_by_knowledge_name(knowledge_name: str, tenant_id: str) -> str:\n    \"\"\"\n    Get the internal index_name from user-facing knowledge_name.\n\n    Args:\n        knowledge_name: User-facing knowledge base name\n        tenant_id: Tenant ID to filter by\n\n    Returns:\n        str: The internal index_name if found\n\n    Raises:\n        ValueError: If knowledge base with the given name is not found for the tenant\n    \"\"\"\n    try:\n        with get_db_session() as session:\n            result = session.query(KnowledgeRecord).filter(\n                KnowledgeRecord.knowledge_name == knowledge_name,\n                KnowledgeRecord.tenant_id == tenant_id,\n                KnowledgeRecord.delete_flag != 'Y'\n            ).first()\n\n            if result:\n                return result.index_name\n            raise ValueError(\n                f\"Knowledge base '{knowledge_name}' not found for the current tenant\"\n            )\n    except SQLAlchemyError as e:\n        raise e\n"
  },
  {
    "path": "backend/database/memory_config_db.py",
    "content": "from typing import Any, Dict, List\n\nfrom .client import filter_property, get_db_session\nfrom .db_models import MemoryUserConfig\n\n\ndef get_all_configs_by_user_id(user_id: str) -> List[Dict[str, Any]]:\n    \"\"\"Return all config records for the specified user (soft-deleted excluded).\"\"\"\n    with get_db_session() as session:\n        result = session.query(MemoryUserConfig).filter(\n            MemoryUserConfig.user_id == user_id,\n            MemoryUserConfig.delete_flag == \"N\",\n        ).all()\n\n        record_info = []\n        for item in result:\n            record_info.append({\n                \"config_id\": item.config_id,\n                \"config_key\": item.config_key,\n                \"config_value\": item.config_value,\n                \"value_type\": item.value_type,\n                \"update_time\": item.update_time,\n            })\n        return record_info\n\n\ndef get_memory_config_info(user_id: str, select_key: str) -> List[Dict[str, Any]]:\n    \"\"\"Get config records (could be multiple for multi type) for a user by key.\"\"\"\n    with get_db_session() as session:\n        result = session.query(MemoryUserConfig).filter(\n            MemoryUserConfig.user_id == user_id,\n            MemoryUserConfig.config_key == select_key,\n            MemoryUserConfig.delete_flag == \"N\",\n        ).all()\n\n        record_info = []\n        for item in result:\n            record_info.append({\n                \"config_id\": item.config_id,\n                \"config_value\": item.config_value,\n                \"value_type\": item.value_type,\n            })\n        return record_info\n\n\ndef insert_config(insert_data: Dict[str, Any]) -> bool:\n    \"\"\"Insert a new config record. `insert_data` should already include created_by & updated_by.\"\"\"\n    with get_db_session() as session:\n        try:\n            insert_data = filter_property(insert_data, MemoryUserConfig)\n            session.add(MemoryUserConfig(**insert_data))\n            session.commit()\n            return True\n        except Exception:\n            session.rollback()\n            return False\n\n\ndef delete_config_by_config_id(config_id: int, updated_by: str) -> bool:\n    \"\"\"Soft-delete a record by id, set delete_flag='Y' and updated_by.\"\"\"\n    with get_db_session() as session:\n        try:\n            session.query(MemoryUserConfig).filter(\n                MemoryUserConfig.config_id == config_id,\n                MemoryUserConfig.delete_flag == \"N\",\n            ).update({\n                \"delete_flag\": \"Y\",\n                \"updated_by\": updated_by,\n            })\n            session.commit()\n            return True\n        except Exception:\n            session.rollback()\n            return False\n\n\ndef update_config_by_id(config_id: int, update_data: Dict[str, Any]) -> bool:\n    \"\"\"Update fields of a config record by id. `update_data` will be filtered automatically.\"\"\"\n    with get_db_session() as session:\n        try:\n            update_data = filter_property(update_data, MemoryUserConfig)\n            session.query(MemoryUserConfig).filter(\n                MemoryUserConfig.config_id == config_id,\n                MemoryUserConfig.delete_flag == \"N\",\n            ).update(update_data)\n            session.commit()\n            return True\n        except Exception:\n            session.rollback()\n            return False\n\n\ndef soft_delete_all_configs_by_user_id(user_id: str, actor: str) -> bool:\n    \"\"\"Soft-delete all memory user config records for a user.\"\"\"\n    with get_db_session() as session:\n        try:\n            session.query(MemoryUserConfig).filter(\n                MemoryUserConfig.user_id == user_id,\n                MemoryUserConfig.delete_flag == \"N\",\n            ).update({\n                \"delete_flag\": \"Y\",\n                \"updated_by\": actor,\n            })\n            session.commit()\n            return True\n        except Exception:\n            session.rollback()\n            return False\n"
  },
  {
    "path": "backend/database/model_management_db.py",
    "content": "from typing import Any, Dict, List, Optional\n\nfrom sqlalchemy import and_, desc, func, insert, select, update\n\nfrom consts.const import DEFAULT_EXPECTED_CHUNK_SIZE, DEFAULT_MAXIMUM_CHUNK_SIZE\nfrom .client import as_dict, db_client, get_db_session\nfrom .db_models import ModelRecord\nfrom .utils import add_creation_tracking, add_update_tracking\n\n\ndef create_model_record(model_data: Dict[str, Any], user_id: str, tenant_id: str) -> bool:\n    \"\"\"\n    Create a model record\n\n    Args:\n        model_data: Dictionary containing model data\n        user_id: Reserved parameter for filling created_by and updated_by fields\n        tenant_id: Optional tenant ID, defaults to \"tenant_id\" if None or empty\n\n    Returns:\n        bool: Whether the operation was successful\n    \"\"\"\n    with get_db_session() as session:\n        # Data cleaning\n        cleaned_data = db_client.clean_string_values(model_data)\n\n        # Add creation timestamp\n        cleaned_data[\"create_time\"] = func.current_timestamp()\n        if user_id:\n            cleaned_data = add_creation_tracking(cleaned_data, user_id)\n\n        # Add tenant_id to cleaned_data\n        if tenant_id is not None:\n            cleaned_data[\"tenant_id\"] = tenant_id\n\n        # Build the insert statement\n        stmt = insert(ModelRecord).values(cleaned_data)\n\n        # Execute the insert statement\n        result = session.execute(stmt)\n\n        return result.rowcount > 0\n\n\ndef update_model_record(\n        model_id: int,\n        update_data: Dict[str, Any],\n        user_id: Optional[str] = None,\n        tenant_id: Optional[str] = None\n) -> bool:\n    \"\"\"\n    Update a model record\n\n    Args:\n        model_id: Model ID\n        update_data: Dictionary containing update data\n        user_id: Reserved parameter for filling updated_by field\n        tenant_id: Tenant ID\n\n    Returns:\n        bool: Whether the operation was successful\n    \"\"\"\n    with get_db_session() as session:\n        # Data cleaning\n        cleaned_data = db_client.clean_string_values(update_data)\n\n        # Add update timestamp\n        cleaned_data[\"update_time\"] = func.current_timestamp()\n        if user_id:\n            cleaned_data = add_update_tracking(cleaned_data, user_id)\n\n        # Add tenant_id to cleaned_data if provided\n        if tenant_id is not None:\n            cleaned_data[\"tenant_id\"] = tenant_id\n\n        # Build the update statement\n        stmt = update(ModelRecord).where(\n            ModelRecord.model_id == model_id\n        ).values(cleaned_data)\n\n        # Execute the update statement\n        result = session.execute(stmt)\n\n        return result.rowcount > 0\n\n\ndef delete_model_record(model_id: int, user_id: str, tenant_id: str) -> bool:\n    \"\"\"\n    Delete a model record (soft delete) and update the update timestamp\n\n    Args:\n        model_id: Model ID\n        user_id: Reserved parameter for filling updated_by field\n        tenant_id: Tenant ID\n\n    Returns:\n        bool: Whether the operation was successful\n    \"\"\"\n    with get_db_session() as session:\n        # Prepare update data for soft delete\n        update_data = {\n            \"delete_flag\": 'Y',\n            \"update_time\": func.current_timestamp()\n        }\n        if user_id:\n            update_data = add_update_tracking(update_data, user_id)\n\n        # Build the update statement\n        stmt = update(ModelRecord).where(\n            ModelRecord.model_id == model_id\n        ).values(update_data)\n\n        stmt = stmt.values(tenant_id=tenant_id)\n\n        # Execute the update statement\n        result = session.execute(stmt)\n\n        # Check if any rows were affected\n        return result.rowcount > 0\n\n\ndef get_model_records(filters: Optional[Dict[str, Any]], tenant_id: str) -> List[Dict[str, Any]]:\n    \"\"\"\n    Get a list of model records\n\n    Args:\n        filters: Dictionary of filter conditions, optional parameter\n        tenant_id: Tenant ID\n\n    Returns:\n        List[Dict[str, Any]]: List of model records\n    \"\"\"\n    with get_db_session() as session:\n        # Base query\n        stmt = select(ModelRecord).where(ModelRecord.delete_flag == 'N')\n\n        if tenant_id:\n            stmt = stmt.where(ModelRecord.tenant_id == tenant_id)\n\n        # Add filter conditions\n        if filters:\n            conditions = []\n            for key, value in filters.items():\n                if value is None:\n                    conditions.append(getattr(ModelRecord, key).is_(None))\n                else:\n                    conditions.append(getattr(ModelRecord, key) == value)\n            stmt = stmt.where(and_(*conditions))\n\n        # Order by creation time descending (newest first)\n        stmt = stmt.order_by(desc(ModelRecord.create_time))\n\n        # Execute the query\n        records = session.scalars(stmt).all()\n\n        # Convert SQLAlchemy model instances to dictionaries and fill default chunk sizes\n        result_list = []\n        for record in records:\n            record_dict = as_dict(record)\n\n            # For embedding models with null chunk sizes (legacy data), fill with defaults\n            if record_dict.get(\"model_type\") in [\"embedding\", \"multi_embedding\"]:\n                if record_dict.get(\"expected_chunk_size\") is None:\n                    record_dict[\"expected_chunk_size\"] = DEFAULT_EXPECTED_CHUNK_SIZE\n                if record_dict.get(\"maximum_chunk_size\") is None:\n                    record_dict[\"maximum_chunk_size\"] = DEFAULT_MAXIMUM_CHUNK_SIZE\n\n            result_list.append(record_dict)\n\n        return result_list\n\n\ndef get_model_by_display_name(display_name: str, tenant_id: str) -> Optional[Dict[str, Any]]:\n    \"\"\"\n    Get a model record by display name\n\n    Args:\n        display_name: Model display name\n        tenant_id:\n    \"\"\"\n    filters = {'display_name': display_name}\n\n    records = get_model_records(filters, tenant_id)\n    if not records:\n        return None\n\n    model = records[0]\n    return model\n\n\ndef get_models_by_display_name(display_name: str, tenant_id: str) -> List[Dict[str, Any]]:\n    \"\"\"\n    Get all model records by display name (for multi_embedding which creates two records)\n\n    Args:\n        display_name: Model display name\n        tenant_id: Tenant ID\n\n    Returns:\n        List[Dict[str, Any]]: List of model records with the same display_name\n    \"\"\"\n    filters = {'display_name': display_name}\n    return get_model_records(filters, tenant_id)\n\n\ndef get_model_id_by_display_name(display_name: str, tenant_id: str) -> Optional[int]:\n    \"\"\"\n    Get a model ID by display name\n\n    Args:\n        display_name: Model display name \n        tenant_id: tenant_id\n\n    Returns:\n        Optional[int]: Model ID\n    \"\"\"\n    model = get_model_by_display_name(display_name, tenant_id)\n    return model[\"model_id\"] if model else None\n\n\ndef get_model_by_model_id(model_id: int, tenant_id: Optional[str] = None) -> Optional[Dict[str, Any]]:\n    \"\"\"\n    Get a model record using native SQLAlchemy query\n\n    Args:\n        model_id (int): Model ID\n        tenant_id (Optional[str]): Tenant ID, optional\n\n    Returns:\n        Optional[Dict[str, Any]]: Model record as a dictionary, or None if not found\n    \"\"\"\n    with get_db_session() as session:\n        # Build base query\n        stmt = select(ModelRecord).where(\n            ModelRecord.model_id == model_id,\n            ModelRecord.delete_flag == 'N'\n        )\n\n        # If tenant ID is provided, add tenant filter\n        if tenant_id:\n            stmt = stmt.where(ModelRecord.tenant_id == tenant_id)\n\n        # Execute query\n        result = session.scalars(stmt).first()\n\n        # If no record is found, return None\n        if result is None:\n            return None\n\n        # Convert SQLAlchemy model object to dictionary\n        result_dict = {key: value for key,\n                       value in result.__dict__.items() if not key.startswith('_')}\n\n        # For embedding models with null chunk sizes (legacy data), fill with defaults\n        if result_dict.get(\"model_type\") in [\"embedding\", \"multi_embedding\"]:\n            if result_dict.get(\"expected_chunk_size\") is None:\n                result_dict[\"expected_chunk_size\"] = DEFAULT_EXPECTED_CHUNK_SIZE\n            if result_dict.get(\"maximum_chunk_size\") is None:\n                result_dict[\"maximum_chunk_size\"] = DEFAULT_MAXIMUM_CHUNK_SIZE\n\n        return result_dict\n\n\ndef get_models_by_tenant_factory_type(tenant_id: str, model_factory: str, model_type: str) -> List[Dict[str, Any]]:\n    \"\"\"\n    Get all model database records matching tenant_id, model_factory, and model_type.\n    \"\"\"\n    filters = {\n        \"model_factory\": model_factory,\n        \"model_type\": model_type\n    }\n    return get_model_records(filters, tenant_id)\n\n\ndef get_model_by_name_factory(model_name: str, model_factory: str, tenant_id: str) -> Optional[Dict[str, Any]]:\n    \"\"\"\n    Get a model record by model_name and model_factory for deduplication.\n    \n    Args:\n        model_name: Model name (e.g., \"deepseek-r1-distill-qwen-14b\")\n        model_factory: Model factory (e.g., \"ModelEngine\")\n        tenant_id: Tenant ID\n        \n    Returns:\n        Optional[Dict[str, Any]]: Model record if found, None otherwise\n    \"\"\"\n    filters = {\n        'model_name': model_name,\n        'model_factory': model_factory\n    }\n    records = get_model_records(filters, tenant_id)\n    return records[0] if records else None\n\n\n"
  },
  {
    "path": "backend/database/partner_db.py",
    "content": "from typing import Optional\nfrom sqlalchemy.exc import SQLAlchemyError\n\nfrom database.client import get_db_session\nfrom database.db_models import PartnerMappingId\n\n\ndef add_mapping_id(\n    internal_id: int,\n    external_id: str,\n    tenant_id: str,\n    user_id: str,\n    mapping_type: str = \"CONVERSATION\",\n) -> None:\n    \"\"\"\n    Add a mapping between internal_id and external_id.\n    \"\"\"\n    try:\n        with get_db_session() as session:\n            session.add(PartnerMappingId(\n                internal_id=internal_id,\n                external_id=external_id,\n                mapping_type=mapping_type,\n                tenant_id=tenant_id,\n                user_id=user_id,\n                created_by=user_id,\n                updated_by=user_id,\n            ))\n            session.commit()\n    except Exception as e:\n        raise e\n\n\ndef get_internal_id_by_external(\n    external_id: str,\n    mapping_type: str = \"CONVERSATION\",\n    tenant_id: Optional[str] = None,\n    user_id: Optional[str] = None,\n) -> Optional[int]:\n    \"\"\"\n    Query internal_id by external_id with required mapping_type filter.\n    Optionally filter by tenant_id and/or user_id.\n    \"\"\"\n    try:\n        with get_db_session() as session:\n            query = session.query(PartnerMappingId).filter(\n                PartnerMappingId.external_id == external_id,\n                PartnerMappingId.mapping_type == mapping_type,\n                PartnerMappingId.delete_flag != \"Y\",\n            )\n            if tenant_id is not None:\n                query = query.filter(PartnerMappingId.tenant_id == tenant_id)\n            if user_id is not None:\n                query = query.filter(PartnerMappingId.user_id == user_id)\n\n            record = query.first()\n            return int(record.internal_id) if record and record.internal_id is not None else None\n    except Exception as e:\n        raise e\n\n\ndef get_external_id_by_internal(\n    internal_id: int,\n    mapping_type: str = \"CONVERSATION\",\n    tenant_id: Optional[str] = None,\n    user_id: Optional[str] = None,\n) -> Optional[str]:\n    \"\"\"\n    Query external_id by internal_id with required mapping_type filter.\n    Optionally filter by tenant_id and/or user_id.\n    \"\"\"\n    try:\n        with get_db_session() as session:\n            query = session.query(PartnerMappingId).filter(\n                PartnerMappingId.internal_id == internal_id,\n                PartnerMappingId.mapping_type == mapping_type,\n                PartnerMappingId.delete_flag != \"Y\",\n            )\n            if tenant_id is not None:\n                query = query.filter(PartnerMappingId.tenant_id == tenant_id)\n            if user_id is not None:\n                query = query.filter(PartnerMappingId.user_id == user_id)\n\n            record = query.first()\n            return str(record.external_id) if record and record.external_id is not None else None\n    except Exception as e:\n        raise e\n"
  },
  {
    "path": "backend/database/remote_mcp_db.py",
    "content": "import logging\nfrom typing import Any, Dict, List\n\nfrom database.client import as_dict, filter_property, get_db_session\nfrom database.db_models import McpRecord\n\nlogger = logging.getLogger(\"remote_mcp_db\")\n\n\ndef create_mcp_record(mcp_data: Dict[str, Any], tenant_id: str, user_id: str):\n    \"\"\"\n    Create new MCP record\n\n    :param mcp_data: Dictionary containing MCP information\n    :param tenant_id: Tenant ID\n    :param user_id: User ID\n    :return: Created MCP record\n    \"\"\"\n    with get_db_session() as session:\n        mcp_data.update({\n            \"tenant_id\": tenant_id,\n            \"user_id\": user_id,\n            \"created_by\": user_id,\n            \"updated_by\": user_id,\n            \"delete_flag\": \"N\"\n        })\n        new_mcp = McpRecord(**filter_property(mcp_data, McpRecord))\n        session.add(new_mcp)\n\n\ndef delete_mcp_record_by_name_and_url(mcp_name: str, mcp_server: str, tenant_id: str, user_id: str):\n    \"\"\"\n    Delete MCP record by name and URL\n\n    :param mcp_name: MCP name\n    :param mcp_server: MCP server URL\n    :param tenant_id: Tenant ID\n    :param user_id: User ID\n    \"\"\"\n    with get_db_session() as session:\n        session.query(McpRecord).filter(\n            McpRecord.mcp_name == mcp_name,\n            McpRecord.mcp_server == mcp_server,\n            McpRecord.tenant_id == tenant_id,\n            McpRecord.delete_flag != 'Y'\n        ).update({\"delete_flag\": \"Y\", \"updated_by\": user_id})\n\n\ndef delete_mcp_record_by_container_id(container_id: str, tenant_id: str, user_id: str):\n    \"\"\"\n    Soft delete MCP record by container ID\n\n    :param container_id: Docker container ID\n    :param tenant_id: Tenant ID\n    :param user_id: User ID\n    \"\"\"\n    with get_db_session() as session:\n        session.query(McpRecord).filter(\n            McpRecord.container_id == container_id,\n            McpRecord.tenant_id == tenant_id,\n            McpRecord.delete_flag != 'Y'\n        ).update({\"delete_flag\": \"Y\", \"updated_by\": user_id})\n\n\ndef update_mcp_status_by_name_and_url(mcp_name: str, mcp_server: str, tenant_id: str, user_id: str, status: bool):\n    \"\"\"\n    Update the status of MCP record by name and URL\n    :param mcp_name: MCP name\n    :param mcp_server: MCP server URL\n    :param tenant_id: Tenant ID\n    :param status: New status (True/False)\n    :param user_id: User ID\n    \"\"\"\n    with get_db_session() as session:\n        session.query(McpRecord).filter(\n            McpRecord.mcp_name == mcp_name,\n            McpRecord.mcp_server == mcp_server,\n            McpRecord.tenant_id == tenant_id,\n            McpRecord.delete_flag != 'Y'\n        ).update({\"status\": status, \"updated_by\": user_id})\n\n\ndef get_mcp_records_by_tenant(tenant_id: str) -> List[Dict[str, Any]]:\n    \"\"\"\n    Get all MCP records for a tenant\n\n    :param tenant_id: Tenant ID\n    :return: List of MCP records\n    \"\"\"\n    with get_db_session() as session:\n        mcp_records = session.query(McpRecord).filter(\n            McpRecord.tenant_id == tenant_id,\n            McpRecord.delete_flag != 'Y'\n        ).order_by(McpRecord.create_time.desc()).all()\n\n        return [as_dict(record) for record in mcp_records]\n\n\ndef get_mcp_server_by_name_and_tenant(mcp_name: str, tenant_id: str) -> str:\n    \"\"\"\n    Get MCP server address by name and tenant ID\n\n    :param mcp_name: MCP name\n    :param tenant_id: Tenant ID\n    :return: MCP server address, empty string if not found\n    \"\"\"\n    with get_db_session() as session:\n        mcp_record = session.query(McpRecord).filter(\n            McpRecord.mcp_name == mcp_name,\n            McpRecord.tenant_id == tenant_id,\n            McpRecord.delete_flag != 'Y'\n        ).first()\n\n        return mcp_record.mcp_server if mcp_record else \"\"\n\n\ndef get_mcp_authorization_token_by_name_and_url(mcp_name: str, mcp_server: str, tenant_id: str) -> str | None:\n    \"\"\"\n    Get MCP authorization token by name, URL and tenant ID\n\n    :param mcp_name: MCP name\n    :param mcp_server: MCP server URL\n    :param tenant_id: Tenant ID\n    :return: Authorization token, None if not found\n    \"\"\"\n    with get_db_session() as session:\n        mcp_record = session.query(McpRecord).filter(\n            McpRecord.mcp_name == mcp_name,\n            McpRecord.mcp_server == mcp_server,\n            McpRecord.tenant_id == tenant_id,\n            McpRecord.delete_flag != 'Y'\n        ).first()\n\n        return mcp_record.authorization_token if mcp_record else None\n\n\ndef update_mcp_record_by_name_and_url(\n    update_data,\n    tenant_id: str,\n    user_id: str,\n    status: bool = None\n):\n    \"\"\"\n    Update MCP record by current name and URL\n\n    :param update_data: MCPUpdateRequest containing current and new values\n    :param tenant_id: Tenant ID\n    :param user_id: User ID\n    :param status: Optional status to update\n    \"\"\"\n    update_fields = {\n        \"mcp_name\": update_data.new_service_name,\n        \"mcp_server\": update_data.new_mcp_url,\n        \"updated_by\": user_id\n    }\n\n    if status is not None:\n        update_fields[\"status\"] = status\n\n    # Update authorization_token if provided\n    if hasattr(update_data, 'new_authorization_token'):\n        update_fields[\"authorization_token\"] = update_data.new_authorization_token\n\n    with get_db_session() as session:\n        session.query(McpRecord).filter(\n            McpRecord.mcp_name == update_data.current_service_name,\n            McpRecord.mcp_server == update_data.current_mcp_url,\n            McpRecord.tenant_id == tenant_id,\n            McpRecord.delete_flag != 'Y'\n        ).update(update_fields)\n\n\ndef check_mcp_name_exists(mcp_name: str, tenant_id: str) -> bool:\n    \"\"\"\n    Check if MCP name already exists for a tenant\n\n    :param mcp_name: MCP name\n    :param tenant_id: Tenant ID\n    :return: True if name exists, False otherwise\n    \"\"\"\n    with get_db_session() as session:\n        mcp_record = session.query(McpRecord).filter(\n            McpRecord.mcp_name == mcp_name,\n            McpRecord.tenant_id == tenant_id,\n            McpRecord.delete_flag != 'Y'\n        ).first()\n        return mcp_record is not None\n\n\ndef get_mcp_record_by_id_and_tenant(mcp_id: int, tenant_id: str) -> Dict[str, Any] | None:\n    \"\"\"\n    Get MCP record by ID and tenant ID\n\n    :param mcp_id: MCP record ID\n    :param tenant_id: Tenant ID\n    :return: MCP record as dictionary, or None if not found\n    \"\"\"\n    with get_db_session() as session:\n        mcp_record = session.query(McpRecord).filter(\n            McpRecord.mcp_id == mcp_id,\n            McpRecord.tenant_id == tenant_id,\n            McpRecord.delete_flag != 'Y'\n        ).first()\n\n        return as_dict(mcp_record) if mcp_record else None\n"
  },
  {
    "path": "backend/database/role_permission_db.py",
    "content": "\"\"\"\nDatabase operations for role permission management\n\"\"\"\nfrom typing import Any, Dict, List, Optional\n\nfrom database.client import as_dict, get_db_session\nfrom database.db_models import RolePermission\n\n\n\n\ndef get_all_role_permissions() -> List[Dict[str, Any]]:\n    \"\"\"\n    Get all role permissions\n\n    Returns:\n        List[Dict[str, Any]]: List of all role permission records\n    \"\"\"\n    with get_db_session() as session:\n        result = session.query(RolePermission).all()\n\n        return [as_dict(record) for record in result]\n\n\ndef check_role_permission(user_role: str, permission_category: Optional[str] = None,\n                         permission_type: Optional[str] = None, permission_subtype: Optional[str] = None) -> bool:\n    \"\"\"\n    Check if a role has specific permission\n\n    Args:\n        user_role (str): User role\n        permission_category (Optional[str]): Permission category\n        permission_type (Optional[str]): Permission type\n        permission_subtype (Optional[str]): Permission subtype\n\n    Returns:\n        bool: Whether the role has the permission\n    \"\"\"\n    with get_db_session() as session:\n        query = session.query(RolePermission).filter(\n            RolePermission.user_role == user_role\n        )\n\n        if permission_category:\n            query = query.filter(RolePermission.permission_category == permission_category)\n        if permission_type:\n            query = query.filter(RolePermission.permission_type == permission_type)\n        if permission_subtype:\n            query = query.filter(RolePermission.permission_subtype == permission_subtype)\n\n        result = query.first()\n        return result is not None\n\n\ndef get_permissions_by_category(permission_category: str) -> List[Dict[str, Any]]:\n    \"\"\"\n    Get all permissions for a specific category\n\n    Args:\n        permission_category (str): Permission category\n\n    Returns:\n        List[Dict[str, Any]]: List of role permission records\n    \"\"\"\n    with get_db_session() as session:\n        result = session.query(RolePermission).filter(\n            RolePermission.permission_category == permission_category\n        ).all()\n\n        return [as_dict(record) for record in result]\n"
  },
  {
    "path": "backend/database/tenant_config_db.py",
    "content": "import logging\nfrom typing import Any, Dict\n\nfrom sqlalchemy import func\nfrom sqlalchemy.exc import SQLAlchemyError\n\nfrom database.client import get_db_session\nfrom database.db_models import TenantConfig\n\n\nlogger = logging.getLogger(\"tenant_config_db\")\n\ndef get_all_configs_by_tenant_id(tenant_id: str):\n    with get_db_session() as session:\n        result = session.query(TenantConfig).filter(\n            TenantConfig.tenant_id == tenant_id,\n            TenantConfig.delete_flag == \"N\"\n        ).all()\n\n        record_info = []\n        for item in result:\n            record_info.append({\n                \"config_key\": item.config_key,\n                \"config_value\": item.config_value,\n                \"tenant_config_id\": item.tenant_config_id,\n                \"update_time\": item.update_time\n            })\n\n        return record_info\n\n\ndef get_tenant_config_info(tenant_id: str, user_id: str, select_key: str):\n    with get_db_session() as session:\n        result = session.query(TenantConfig).filter(\n            TenantConfig.tenant_id == tenant_id,\n            TenantConfig.user_id == user_id,\n            TenantConfig.config_key == select_key,\n            TenantConfig.delete_flag == \"N\"\n        ).all()\n        record_info = []\n        for item in result:\n            record_info.append({\n                \"config_value\": item.config_value,\n                \"tenant_config_id\": item.tenant_config_id\n            })\n        return record_info\n\n\ndef get_single_config_info(tenant_id: str, select_key: str):\n    with get_db_session() as session:\n        result = session.query(TenantConfig).filter(\n            TenantConfig.tenant_id == tenant_id,\n            TenantConfig.config_key == select_key,\n            TenantConfig.delete_flag == \"N\"\n        ).first()\n\n        if result:\n            record_info = {\n                \"config_value\": result.config_value,\n                \"tenant_config_id\": result.tenant_config_id\n            }\n\n            return record_info\n        else:\n            return {}\n\n\ndef insert_config(insert_data: Dict[str, Any]):\n    with get_db_session() as session:\n        try:\n            session.add(TenantConfig(**insert_data))\n            session.commit()\n            return True\n        except SQLAlchemyError as e:\n            session.rollback()\n            logger.error(f\"insert config failed, error: {e}\")\n            return False\n\n\ndef delete_config_by_tenant_config_id(tenant_config_id: int):\n    with get_db_session() as session:\n        try:\n            session.query(TenantConfig).filter(\n                TenantConfig.tenant_config_id == tenant_config_id,\n                TenantConfig.delete_flag == \"N\"\n            ).update({\"delete_flag\": \"Y\"})\n            session.commit()\n            return True\n        except SQLAlchemyError as e:\n            session.rollback()\n            logger.error(f\"delete config by tenant config id failed, error: {e}\")\n            return False\n\n\ndef delete_config(tenant_id: str, user_id: str, select_key: str, config_value: str):\n    with get_db_session() as session:\n        try:\n            session.query(TenantConfig).filter(\n                TenantConfig.tenant_id == tenant_id,\n                TenantConfig.user_id == user_id,\n                TenantConfig.config_key == select_key,\n                TenantConfig.config_value == config_value,\n                TenantConfig.delete_flag == \"N\"\n            ).update({\"delete_flag\": \"Y\"})\n            session.commit()\n            return True\n        except SQLAlchemyError as e:\n            session.rollback()\n            logger.error(f\"delete config failed, error: {e}\")\n            return False\n\n\ndef update_config_by_tenant_config_id(tenant_config_id: int, update_value: str):\n    with get_db_session() as session:\n        try:\n            session.query(TenantConfig).filter(\n                TenantConfig.tenant_config_id == tenant_config_id,\n                TenantConfig.delete_flag == \"N\"\n            ).update({\"config_value\": update_value})\n            session.commit()\n            return True\n        except SQLAlchemyError as e:\n            session.rollback()\n            logger.error(f\"update config by tenant config id failed, error: {e}\")\n            return False\n\n\ndef update_config_by_tenant_config_id_and_data(tenant_config_id: int, insert_data: Dict[str, Any]):\n    with get_db_session() as session:\n        try:\n            session.query(TenantConfig).filter(\n                TenantConfig.tenant_config_id == tenant_config_id,\n                TenantConfig.delete_flag == \"N\"\n            ).update(insert_data)\n            session.commit()\n            return True\n        except SQLAlchemyError as e:\n            session.rollback()\n            logger.error(f\"update config by tenant config id and data failed, error: {e}\")\n            return False\n\n\ndef get_all_tenant_ids():\n    \"\"\"\n    Get all tenant IDs that have tenant configurations, sorted by creation time descending (newest first).\n\n    Returns:\n        List[str]: List of tenant IDs sorted by creation time (newest first)\n    \"\"\"\n    with get_db_session() as session:\n        # Query tenant_ids grouped by tenant_id, ordered by maximum create_time (newest config creation)\n        result = session.query(\n            TenantConfig.tenant_id,\n            func.max(TenantConfig.create_time).label(\"max_create_time\")\n        ).filter(\n            TenantConfig.delete_flag == \"N\"\n        ).group_by(\n            TenantConfig.tenant_id\n        ).order_by(\n            func.max(TenantConfig.create_time).desc()\n        ).all()\n\n        return [row[0] for row in result]\n"
  },
  {
    "path": "backend/database/token_db.py",
    "content": "\"\"\"\nDatabase operations for user API token (API Key) management.\n\"\"\"\nimport secrets\nfrom typing import Any, Dict, List, Optional\n\nfrom database.client import get_db_session\nfrom database.db_models import UserTokenInfo, UserTokenUsageLog\n\n\ndef generate_access_key() -> str:\n    \"\"\"Generate a random access key with format nexent-xxxxx...\"\"\"\n    random_part = secrets.token_hex(12)  # 24 hex characters for more entropy\n    return f\"nexent-{random_part}\"\n\n\ndef create_token(access_key: str, user_id: str) -> Dict[str, Any]:\n    \"\"\"Create a new token record in the database.\n\n    Args:\n        access_key: The access key (API Key).\n        user_id: The user ID who owns this token.\n\n    Returns:\n        Dictionary containing the created token information.\n    \"\"\"\n    with get_db_session() as session:\n        token = UserTokenInfo(\n            access_key=access_key,\n            user_id=user_id,\n            created_by=user_id,\n            updated_by=user_id,\n            delete_flag='N'\n        )\n        session.add(token)\n        session.flush()\n\n        return {\n            \"token_id\": token.token_id,\n            \"access_key\": token.access_key,\n            \"user_id\": token.user_id\n        }\n\n\ndef list_tokens_by_user(user_id: str) -> List[Dict[str, Any]]:\n    \"\"\"List all active tokens for the specified user.\n\n    Args:\n        user_id: The user ID to query tokens for.\n\n    Returns:\n        List of token information with masked access keys.\n    \"\"\"\n    with get_db_session() as session:\n        tokens = session.query(UserTokenInfo).filter(\n            UserTokenInfo.user_id == user_id,\n            UserTokenInfo.delete_flag == 'N'\n        ).order_by(UserTokenInfo.create_time.desc()).all()\n\n        return [\n            {\n                \"token_id\": token.token_id,\n                \"access_key\": token.access_key,\n                \"user_id\": token.user_id,\n                \"create_time\": token.create_time.isoformat() if token.create_time else None\n            }\n            for token in tokens\n        ]\n\n\ndef get_token_by_id(token_id: int) -> UserTokenInfo:\n    \"\"\"Get a token by its ID.\n\n    Args:\n        token_id: The token ID to query.\n\n    Returns:\n        UserTokenInfo object if found and active, None otherwise.\n    \"\"\"\n    with get_db_session() as session:\n        return session.query(UserTokenInfo).filter(\n            UserTokenInfo.token_id == token_id,\n            UserTokenInfo.delete_flag == 'N'\n        ).first()\n\n\ndef get_token_by_access_key(access_key: str) -> Optional[Dict[str, Any]]:\n    \"\"\"Get a token by its access key.\n\n    Args:\n        access_key: The access key to query.\n\n    Returns:\n        Token information dict if found and active, None otherwise.\n    \"\"\"\n    with get_db_session() as session:\n        token = session.query(UserTokenInfo).filter(\n            UserTokenInfo.access_key == access_key,\n            UserTokenInfo.delete_flag == 'N'\n        ).first()\n\n        if token:\n            return {\n                \"token_id\": token.token_id,\n                \"access_key\": token.access_key,\n                \"user_id\": token.user_id,\n                \"delete_flag\": token.delete_flag\n            }\n        return None\n\n\ndef delete_token(token_id: int, user_id: str) -> bool:\n    \"\"\"Soft delete a token by setting delete_flag to 'Y'.\n\n    Args:\n        token_id: The token ID to delete.\n        user_id: The user ID who owns this token (for authorization).\n\n    Returns:\n        True if the token was deleted, False if not found or not owned by user.\n    \"\"\"\n    with get_db_session() as session:\n        token = session.query(UserTokenInfo).filter(\n            UserTokenInfo.token_id == token_id,\n            UserTokenInfo.user_id == user_id,\n            UserTokenInfo.delete_flag == 'N'\n        ).first()\n\n        if not token:\n            return False\n\n        token.delete_flag = 'Y'\n        token.updated_by = user_id\n        return True\n\n\ndef log_token_usage(\n    token_id: int,\n    call_function_name: str,\n    related_id: Optional[int],\n    created_by: str,\n    metadata: Optional[Dict[str, Any]] = None\n) -> int:\n    \"\"\"Log token usage to the database.\n\n    Args:\n        token_id: The token ID used.\n        call_function_name: The API function name being called.\n        related_id: Related resource ID (e.g., conversation_id).\n        created_by: User ID who initiated the call.\n        metadata: Optional additional metadata for this usage log entry.\n\n    Returns:\n        The created token_usage_id.\n    \"\"\"\n    with get_db_session() as session:\n        usage_log = UserTokenUsageLog(\n            token_id=token_id,\n            call_function_name=call_function_name,\n            related_id=related_id,\n            created_by=created_by,\n            meta_data=metadata\n        )\n        session.add(usage_log)\n        session.flush()\n        return usage_log.token_usage_id\n\n\ndef get_latest_usage_metadata(token_id: int, related_id: int, call_function_name: str) -> Optional[Dict[str, Any]]:\n    \"\"\"Get the latest metadata for a given token, related_id and function name.\n\n    Args:\n        token_id: The token ID used.\n        related_id: Related resource ID (e.g., conversation_id).\n        call_function_name: The API function name.\n\n    Returns:\n        The metadata dict if found, None otherwise.\n    \"\"\"\n    with get_db_session() as session:\n        usage_log = session.query(UserTokenUsageLog).filter(\n            UserTokenUsageLog.token_id == token_id,\n            UserTokenUsageLog.related_id == related_id,\n            UserTokenUsageLog.call_function_name == call_function_name\n        ).order_by(UserTokenUsageLog.create_time.desc()).first()\n\n        if usage_log and usage_log.meta_data:\n            return usage_log.meta_data\n        return None\n"
  },
  {
    "path": "backend/database/tool_db.py",
    "content": "import re\nfrom typing import List\n\nfrom database.agent_db import logger\nfrom database.client import get_db_session, filter_property, as_dict\nfrom database.db_models import ToolInstance, ToolInfo\nfrom consts.model import ToolSourceEnum\n\n\ndef create_tool(tool_info, version_no: int = 0):\n    \"\"\"\n    Create ToolInstance in the database.\n    Default version_no=0 creates the draft version.\n\n    Args:\n        tool_info: Dictionary containing tool information\n        version_no: Version number. Default 0 = draft/editing state\n\n    Returns:\n        Created ToolInstance object\n    \"\"\"\n    tool_info_dict = tool_info.copy()\n    tool_info_dict.setdefault(\"version_no\", version_no)\n\n    with get_db_session() as session:\n        # Create a new ToolInstance\n        new_tool_instance = ToolInstance(\n            **filter_property(tool_info_dict, ToolInstance))\n        session.add(new_tool_instance)\n\n\ndef create_or_update_tool_by_tool_info(tool_info, tenant_id: str, user_id: str, version_no: int = 0):\n    \"\"\"\n    Create or update a ToolInstance in the database.\n    Default version_no=0 operates on the draft version.\n\n    Args:\n        tool_info: Dictionary containing tool information\n        tenant_id: Tenant ID for filtering, mandatory\n        user_id: User ID for updating (will be set as the last updater)\n        version_no: Version number to filter. Default 0 = draft/editing state\n\n    Returns:\n        Created or updated ToolInstance object\n    \"\"\"\n    tool_info_dict = tool_info.__dict__ | {\n        \"tenant_id\": tenant_id, \"user_id\": user_id, \"version_no\": version_no}\n\n    with get_db_session() as session:\n        # Query if there is an existing ToolInstance\n        # Note: Do not filter by user_id to avoid creating duplicate instances\n        # for the same agent_id and tool_id when different users save\n        query = session.query(ToolInstance).filter(\n            ToolInstance.tenant_id == tenant_id,\n            ToolInstance.agent_id == tool_info_dict['agent_id'],\n            ToolInstance.delete_flag != 'Y',\n            ToolInstance.tool_id == tool_info_dict['tool_id'],\n            ToolInstance.version_no == version_no\n        )\n        tool_instance = query.first()\n        if tool_instance:\n            # Update the existing ToolInstance\n            for key, value in tool_info_dict.items():\n                if hasattr(tool_instance, key):\n                    setattr(tool_instance, key, value)\n        else:\n            # Create a new ToolInstance\n            new_tool_instance = ToolInstance(\n                **filter_property(tool_info_dict, ToolInstance))\n            session.add(new_tool_instance)\n            session.flush()  # Flush to get the ID\n            tool_instance = new_tool_instance\n        return tool_instance\n\n\ndef query_all_tools(tenant_id: str):\n    \"\"\"\n    Query ToolInfo in the database based on tenant_id and agent_id, optional user_id.\n    Filter tools that belong to the specific tenant_id or have tenant_id as \"tenant_id\"\n    :return: List of ToolInfo objects\n    \"\"\"\n    with get_db_session() as session:\n        query = session.query(ToolInfo).filter(\n            ToolInfo.delete_flag != 'Y',\n            ToolInfo.author == tenant_id)\n\n        tools = query.all()\n        return [as_dict(tool) for tool in tools]\n\n\ndef query_tool_instances_by_id(agent_id: int, tool_id: int, tenant_id: str, version_no: int = 0):\n    \"\"\"\n    Query ToolInstance in the database.\n    Default version_no=0 queries the draft version.\n\n    Args:\n        agent_id: Agent ID for filtering, mandatory\n        tool_id: Tool ID for filtering, mandatory\n        tenant_id: Tenant ID for filtering, mandatory\n        version_no: Version number to filter. Default 0 = draft/editing state\n\n    Returns:\n        ToolInstance object or None\n    \"\"\"\n    with get_db_session() as session:\n        query = session.query(ToolInstance).filter(\n            ToolInstance.tenant_id == tenant_id,\n            ToolInstance.agent_id == agent_id,\n            ToolInstance.tool_id == tool_id,\n            ToolInstance.version_no == version_no,\n            ToolInstance.delete_flag != 'Y')\n        tool_instance = query.first()\n        if tool_instance:\n            return as_dict(tool_instance)\n        else:\n            return None\n\n\ndef query_tools_by_ids(tool_id_list: List[int]):\n    \"\"\"\n    Query ToolInfo in the database based on tool_id_list.\n    :param tool_id_list: List of tool IDs\n    :return: List of ToolInfo objects\n    \"\"\"\n    with get_db_session() as session:\n        tools = session.query(ToolInfo).filter(ToolInfo.tool_id.in_(\n            tool_id_list)).filter(ToolInfo.delete_flag != 'Y').all()\n        return [as_dict(tool) for tool in tools]\n\n\ndef query_all_enabled_tool_instances(agent_id: int, tenant_id: str, version_no: int = 0):\n    \"\"\"\n    Query enabled ToolInstance in the database.\n    Default version_no=0 queries the draft version.\n\n    Args:\n        agent_id: Agent ID for filtering, mandatory\n        tenant_id: Tenant ID for filtering, mandatory\n        version_no: Version number to filter. Default 0 = draft/editing state\n\n    Returns:\n        List of ToolInstance objects\n    \"\"\"\n    with get_db_session() as session:\n        query = session.query(ToolInstance).filter(\n            ToolInstance.tenant_id == tenant_id,\n            ToolInstance.version_no == version_no,\n            ToolInstance.delete_flag != 'Y',\n            ToolInstance.enabled,\n            ToolInstance.agent_id == agent_id)\n        tools = query.all()\n        return [as_dict(tool) for tool in tools]\n\n\ndef query_tool_instances_by_agent_id(agent_id: int, tenant_id: str, version_no: int = 0):\n    \"\"\"\n    Query all ToolInstance for an agent (regardless of enabled status).\n    Default version_no=0 queries the draft version.\n\n    Args:\n        agent_id: Agent ID for filtering, mandatory\n        tenant_id: Tenant ID for filtering, mandatory\n        version_no: Version number to filter. Default 0 = draft/editing state\n\n    Returns:\n        List of ToolInstance objects\n    \"\"\"\n    with get_db_session() as session:\n        query = session.query(ToolInstance).filter(\n            ToolInstance.tenant_id == tenant_id,\n            ToolInstance.agent_id == agent_id,\n            ToolInstance.version_no == version_no,\n            ToolInstance.delete_flag != 'Y')\n        tools = query.all()\n        return [as_dict(tool) for tool in tools]\n\n\ndef check_tool_list_initialized(tenant_id: str) -> bool:\n    \"\"\"\n    Check if tool list has been initialized for the tenant.\n\n    Args:\n        tenant_id: Tenant ID to check\n\n    Returns:\n        True if tools have been initialized, False otherwise\n    \"\"\"\n    with get_db_session() as session:\n        # Check if any tools exist for this tenant\n        count = session.query(ToolInfo).filter(\n            ToolInfo.delete_flag != 'Y',\n            ToolInfo.author == tenant_id\n        ).count()\n        return count > 0\n\n\ndef update_tool_table_from_scan_tool_list(tenant_id: str, user_id: str, tool_list: List[ToolInfo]):\n    \"\"\"\n    scan all tools and update the tool table in PG database, remove the duplicate tools\n    For MCP tools, use name&source&usage as unique key to allow same tool name from different MCP servers\n    \"\"\"\n    with get_db_session() as session:\n        # get all existing tools (including complete information)\n        existing_tools = session.query(ToolInfo).filter(ToolInfo.delete_flag != 'Y',\n                                                        ToolInfo.author == tenant_id).all()\n        # Build existing_tool_dict with different keys for MCP vs non-MCP tools\n        existing_tool_dict = {}\n        for tool in existing_tools:\n            if tool.source == ToolSourceEnum.MCP.value:\n                # For MCP tools, use name + source + usage (MCP server name) as unique key\n                key = f\"{tool.name}&{tool.source}&{tool.usage or ''}\"\n            else:\n                # For other tools, use name + source as unique key\n                key = f\"{tool.name}&{tool.source}\"\n            existing_tool_dict[key] = tool\n\n        # set all tools to unavailable\n        for tool in existing_tools:\n            tool.is_available = False\n\n        for tool in tool_list:\n            filtered_tool_data = filter_property(tool.__dict__, ToolInfo)\n\n            # check if the tool name is valid\n            is_available = True if re.match(\n                r'^[a-zA-Z_][a-zA-Z0-9_]*$', tool.name) is not None else False\n\n            # Use same key generation logic as above\n            if tool.source == ToolSourceEnum.MCP.value:\n                tool_key = f\"{tool.name}&{tool.source}&{tool.usage or ''}\"\n            else:\n                tool_key = f\"{tool.name}&{tool.source}\"\n\n            if tool_key in existing_tool_dict:\n                # by tool name, source, and usage (for MCP) to update the existing tool\n                existing_tool = existing_tool_dict[tool_key]\n                for key, value in filtered_tool_data.items():\n                    setattr(existing_tool, key, value)\n                existing_tool.updated_by = user_id\n                existing_tool.is_available = is_available\n            else:\n                # create new tool\n                filtered_tool_data.update(\n                    {\"created_by\": user_id, \"updated_by\": user_id, \"author\": tenant_id, \"is_available\": is_available})\n                new_tool = ToolInfo(**filtered_tool_data)\n                session.add(new_tool)\n    logger.info(\"Updated tool table in PG database\")\n\n\ndef add_tool_field(tool_info):\n    with get_db_session() as session:\n        # Query if there is an existing ToolInstance\n        query = session.query(ToolInfo).filter(\n            ToolInfo.tool_id == tool_info[\"tool_id\"])\n        tool = query.first()\n\n        # add tool params\n        tool_params = tool.params\n        for ele in tool_params:\n            param_name = ele[\"name\"]\n            ele[\"default\"] = tool_info[\"params\"].get(param_name)\n\n        tool_dict = as_dict(tool)\n        tool_dict[\"params\"] = tool_params\n\n        # combine tool_info and tool_dict\n        tool_info.update(tool_dict)\n        return tool_info\n\n\ndef search_tools_for_sub_agent(agent_id, tenant_id, version_no: int = 0):\n    \"\"\"\n    Query enabled tools for a sub-agent.\n    Default version_no=0 queries the draft version.\n\n    Args:\n        agent_id: Agent ID\n        tenant_id: Tenant ID\n        version_no: Version number to filter. Default 0 = draft/editing state\n\n    Returns:\n        List of tool instance dictionaries\n    \"\"\"\n    with get_db_session() as session:\n        # query if there is an existing ToolInstance\n        query = session.query(ToolInstance).filter(\n            ToolInstance.agent_id == agent_id,\n            ToolInstance.tenant_id == tenant_id,\n            ToolInstance.version_no == version_no,\n            ToolInstance.delete_flag != 'Y',\n            ToolInstance.enabled\n        )\n\n        tool_instances = query.all()\n        tools_list = []\n        for tool_instance in tool_instances:\n            tool_instance_dict = as_dict(tool_instance)\n            new_tool_instance_dict = add_tool_field(tool_instance_dict)\n\n            tools_list.append(new_tool_instance_dict)\n        return tools_list\n\n\ndef check_tool_is_available(tool_id_list: List[int]):\n    \"\"\"\n    Check if the tool is available\n    \"\"\"\n    with get_db_session() as session:\n        tools = session.query(ToolInfo).filter(ToolInfo.tool_id.in_(\n            tool_id_list), ToolInfo.delete_flag != 'Y').all()\n        return [tool.is_available for tool in tools]\n\n\ndef delete_tools_by_agent_id(agent_id, tenant_id, user_id, version_no: int = 0):\n    \"\"\"\n    Delete all tool instances for an agent.\n    Default version_no=0 deletes the draft version.\n\n    Args:\n        agent_id: Agent ID\n        tenant_id: Tenant ID\n        user_id: User ID\n        version_no: Version number to filter. Default 0 = draft/editing state\n    \"\"\"\n    with get_db_session() as session:\n        session.query(ToolInstance).filter(\n            ToolInstance.agent_id == agent_id,\n            ToolInstance.tenant_id == tenant_id,\n            ToolInstance.version_no == version_no\n        ).update({\n            ToolInstance.delete_flag: 'Y', 'updated_by': user_id\n        })\n\n\ndef search_last_tool_instance_by_tool_id(tool_id: int, tenant_id: str, user_id: str, version_no: int = 0):\n    \"\"\"\n    Query the latest ToolInstance by tool_id.\n    Default version_no=0 queries the draft version.\n\n    Args:\n        tool_id: Tool ID\n        tenant_id: Tenant ID\n        user_id: User ID\n        version_no: Version number to filter. Default 0 = draft/editing state\n\n    Returns:\n        ToolInstance object or None\n    \"\"\"\n    with get_db_session() as session:\n        query = session.query(ToolInstance).filter(\n            ToolInstance.tool_id == tool_id,\n            ToolInstance.tenant_id == tenant_id,\n            ToolInstance.user_id == user_id,\n            ToolInstance.version_no == version_no,\n            ToolInstance.delete_flag != 'Y'\n        ).order_by(ToolInstance.update_time.desc())\n        tool_instance = query.first()\n        return as_dict(tool_instance) if tool_instance else None\n"
  },
  {
    "path": "backend/database/user_tenant_db.py",
    "content": "\"\"\"\nDatabase operations for user tenant relationship management\n\"\"\"\nimport logging\nfrom typing import Any, List, Dict, Optional\n\nfrom consts.const import DEFAULT_TENANT_ID\nfrom database.client import as_dict, get_db_session\nfrom database.db_models import UserTenant\n\nlogger = logging.getLogger(__name__)\n\n\ndef get_user_tenant_by_user_id(user_id: str) -> Optional[Dict[str, Any]]:\n    \"\"\"\n    Get user tenant relationship by user ID\n\n    Args:\n        user_id (str): User ID\n\n    Returns:\n        Optional[Dict[str, Any]]: User tenant relationship record\n    \"\"\"\n    with get_db_session() as session:\n        result = session.query(UserTenant).filter(\n            UserTenant.user_id == user_id,\n            UserTenant.delete_flag == \"N\"\n        ).first()\n\n        if result:\n            return as_dict(result)\n        return None\n\n\ndef get_all_tenant_ids() -> list[str]:\n    \"\"\"\n    Get all unique tenant IDs from the database\n\n    Returns:\n        list[str]: List of unique tenant IDs\n    \"\"\"\n    with get_db_session() as session:\n        result = session.query(UserTenant.tenant_id).filter(\n            UserTenant.delete_flag == \"N\"\n        ).distinct().all()\n\n        tenant_ids = [row[0] for row in result]\n\n        # Add default tenant_id if not already in the list\n        if DEFAULT_TENANT_ID not in tenant_ids:\n            tenant_ids.append(DEFAULT_TENANT_ID)\n\n        return tenant_ids\n\n\ndef insert_user_tenant(user_id: str, tenant_id: str, user_role: str = \"USER\", user_email: str = None):\n    \"\"\"\n    Insert user tenant relationship\n\n    Args:\n        user_id (str): User ID\n        tenant_id (str): Tenant ID\n        user_role (str): User role (SUPER_ADMIN, ADMIN, DEV, USER)\n        user_email (str): User email address\n    \"\"\"\n    with get_db_session() as session:\n        user_tenant = UserTenant(\n            user_id=user_id,\n            tenant_id=tenant_id,\n            user_role=user_role,\n            user_email=user_email,\n            created_by=user_id,\n            updated_by=user_id\n        )\n        session.add(user_tenant)\n\n\ndef get_users_by_tenant_id(tenant_id: str, page: Optional[int] = 1, page_size: Optional[int] = 20,\n                           sort_by: str = \"created_at\", sort_order: str = \"desc\") -> Dict[str, Any]:\n    \"\"\"\n    Get users belonging to a specific tenant with pagination and sorting\n\n    Args:\n        tenant_id (str): Tenant ID\n        page (Optional[int]): Page number (1-based). If None, returns all data\n        page_size (Optional[int]): Number of items per page. If None, returns all data\n        sort_by (str): Field to sort by\n        sort_order (str): Sort order (asc or desc)\n\n    Returns:\n        Dict[str, Any]: Dictionary containing users list and total count\n    \"\"\"\n    with get_db_session() as session:\n        # Get total count\n        total_count = session.query(UserTenant).filter(\n            UserTenant.tenant_id == tenant_id,\n            UserTenant.delete_flag == \"N\"\n        ).count()\n\n        # Build base query\n        query = session.query(UserTenant).filter(\n            UserTenant.tenant_id == tenant_id,\n            UserTenant.delete_flag == \"N\"\n        )\n\n        # Add sorting\n        if sort_by == \"created_at\":\n            if sort_order == \"desc\":\n                query = query.order_by(UserTenant.create_time.desc())\n            else:\n                query = query.order_by(UserTenant.create_time.asc())\n\n        # Apply pagination only if both page and page_size are provided\n        if page is not None and page_size is not None:\n            offset = (page - 1) * page_size\n            results = query.offset(offset).limit(page_size).all()\n        else:\n            # Return all results when pagination is not specified\n            results = query.all()\n\n        return {\n            \"users\": [as_dict(row) for row in results],\n            \"total\": total_count\n        }\n\n\ndef update_user_tenant_role(user_id: str, role: str, updated_by: str) -> bool:\n    \"\"\"\n    Update user role in user_tenant table\n\n    Args:\n        user_id (str): User ID\n        role (str): New role\n        updated_by (str): User who made the update\n\n    Returns:\n        bool: True if update successful, False otherwise\n    \"\"\"\n    with get_db_session() as session:\n        result = session.query(UserTenant).filter(\n            UserTenant.user_id == user_id,\n            UserTenant.delete_flag == \"N\"\n        ).update({\n            \"user_role\": role,\n            \"updated_by\": updated_by,\n            \"update_time\": \"NOW()\"  # This will be handled by the database trigger\n        })\n\n        return result > 0\n\n\ndef soft_delete_user_tenant_by_user_id(user_id: str, deleted_by: str) -> bool:\n    \"\"\"\n    Soft delete user tenant relationship by user ID\n\n    Args:\n        user_id (str): User ID to delete\n        deleted_by (str): User who performed the deletion\n\n    Returns:\n        bool: True if any records were deleted\n    \"\"\"\n    with get_db_session() as session:\n        result = session.query(UserTenant).filter(\n            UserTenant.user_id == user_id,\n            UserTenant.delete_flag == \"N\"\n        ).update({\n            \"delete_flag\": \"Y\",\n            \"updated_by\": deleted_by,\n            \"update_time\": \"NOW()\"\n        })\n\n        return result > 0\n\n\ndef soft_delete_users_by_tenant_id(tenant_id: str, deleted_by: str) -> bool:\n    \"\"\"\n    Soft delete all user tenant relationships for a tenant\n\n    Args:\n        tenant_id (str): Tenant ID to delete all users from\n        deleted_by (str): User who performed the deletion\n\n    Returns:\n        bool: True if any records were deleted\n    \"\"\"\n    with get_db_session() as session:\n        result = session.query(UserTenant).filter(\n            UserTenant.tenant_id == tenant_id,\n            UserTenant.delete_flag == \"N\"\n        ).update({\n            \"delete_flag\": \"Y\",\n            \"updated_by\": deleted_by,\n            \"update_time\": \"NOW()\"\n        })\n\n        logger.info(f\"Soft deleted {result} user-tenant relationships for tenant {tenant_id}\")\n        return result > 0\n"
  },
  {
    "path": "backend/database/utils.py",
    "content": "from typing import Any, Dict\n\n\n# Global tracking field management methods\ndef add_creation_tracking(data: Dict[str, Any], user_id: str) -> Dict[str, Any]:\n    \"\"\"\n    Add creation tracking fields (created_by and updated_by)\n\n    Args:\n        data: Data dictionary to add fields to\n        user_id: Current user ID\n\n    Returns:\n        Dict[str, Any]: Data dictionary with tracking fields added\n    \"\"\"\n    data_copy = data.copy()\n    data_copy[\"created_by\"] = user_id\n    data_copy[\"updated_by\"] = user_id\n    return data_copy\n\n\ndef add_update_tracking(data: Dict[str, Any], user_id: str) -> Dict[str, Any]:\n    \"\"\"\n    Add update tracking field (updated_by)\n\n    Args:\n        data: Data dictionary to add field to\n        user_id: Current user ID\n\n    Returns:\n        Dict[str, Any]: Data dictionary with tracking field added\n    \"\"\"\n    data_copy = data.copy()\n    data_copy[\"updated_by\"] = user_id\n    return data_copy\n"
  },
  {
    "path": "backend/mcp_service.py",
    "content": "import logging\nfrom utils.logging_utils import configure_logging\nfrom fastmcp import FastMCP\nfrom tool_collection.mcp.local_mcp_service import local_mcp_service\n\n\"\"\"\nhierarchical proxy architecture:\n- local service layer: stable local mount service\n- remote proxy layer: dynamic managed remote mcp service proxy\n\"\"\"\n\nconfigure_logging(logging.INFO)\nlogger = logging.getLogger(\"mcp_service\")\n\n# initialize main mcp service\nnexent_mcp = FastMCP(name=\"nexent_mcp\")\n\n# mount local service (stable, not affected by remote proxy)\nnexent_mcp.mount(local_mcp_service.name, local_mcp_service)\n\nif __name__ == \"__main__\":\n    nexent_mcp.run(transport=\"sse\", host=\"0.0.0.0\", port=5011)\n"
  },
  {
    "path": "backend/middleware/__init__.py",
    "content": "# Backend middleware package\n"
  },
  {
    "path": "backend/middleware/exception_handler.py",
    "content": "\"\"\"\nGlobal exception handler middleware.\n\nThis middleware provides centralized error handling for the FastAPI application.\nIt catches all exceptions and returns a standardized JSON response.\n\"\"\"\n\nimport logging\nimport traceback\nimport uuid\nfrom typing import Callable\n\nfrom fastapi import Request, Response, HTTPException\nfrom fastapi.responses import JSONResponse\nfrom starlette.middleware.base import BaseHTTPMiddleware\n\nfrom consts.error_code import ErrorCode, ERROR_CODE_HTTP_STATUS\nfrom consts.error_message import ErrorMessage\n\nlogger = logging.getLogger(__name__)\n\n\ndef _http_status_to_error_code(status_code: int) -> ErrorCode:\n    \"\"\"Map HTTP status codes to internal error codes for backward compatibility.\"\"\"\n    mapping = {\n        400: ErrorCode.COMMON_VALIDATION_ERROR,\n        401: ErrorCode.COMMON_UNAUTHORIZED,\n        403: ErrorCode.COMMON_FORBIDDEN,\n        404: ErrorCode.COMMON_RESOURCE_NOT_FOUND,\n        429: ErrorCode.COMMON_RATE_LIMIT_EXCEEDED,\n        500: ErrorCode.SYSTEM_INTERNAL_ERROR,\n        502: ErrorCode.SYSTEM_SERVICE_UNAVAILABLE,\n        503: ErrorCode.SYSTEM_SERVICE_UNAVAILABLE,\n    }\n    return mapping.get(status_code, ErrorCode.SYSTEM_UNKNOWN_ERROR)\n\n\nclass ExceptionHandlerMiddleware(BaseHTTPMiddleware):\n    \"\"\"\n    Global exception handler middleware.\n\n    This middleware catches all exceptions and returns a standardized response:\n    - For AppException: returns the error code and message\n    - For other exceptions: logs the error and returns a generic error response\n    \"\"\"\n\n    async def dispatch(self, request: Request, call_next: Callable) -> Response:\n        # Generate trace ID for request tracking\n        trace_id = str(uuid.uuid4())\n        request.state.trace_id = trace_id\n\n        try:\n            response = await call_next(request)\n            return response\n        except Exception as exc:\n            # Check if it's an AppException by looking for the error_code attribute\n            # This handles both import path variations (backend.consts.exceptions vs consts.exceptions)\n            if hasattr(exc, 'error_code'):\n                # This is an AppException - get http_status from mapping\n                logger.error(\n                    f\"[{trace_id}] AppException: {exc.error_code.value} - {exc.message}\",\n                    extra={\"trace_id\": trace_id,\n                           \"error_code\": exc.error_code.value}\n                )\n\n                # Use HTTP status from error code mapping, default to 500\n                # Try to get http_status property first, then fall back to ERROR_CODE_HTTP_STATUS mapping\n                if hasattr(exc, 'http_status'):\n                    http_status = exc.http_status\n                else:\n                    http_status = ERROR_CODE_HTTP_STATUS.get(\n                        exc.error_code, 500)\n\n                return JSONResponse(\n                    status_code=http_status,\n                    content={\n                        \"code\": exc.error_code.value,  # Keep as string to preserve leading zeros\n                        \"message\": exc.message,\n                        \"trace_id\": trace_id,\n                        \"details\": exc.details if exc.details else None\n                    }\n                )\n            elif isinstance(exc, HTTPException):\n                # Handle FastAPI HTTPException for backward compatibility\n                # Map HTTP status codes to error codes\n                error_code = _http_status_to_error_code(exc.status_code)\n\n                return JSONResponse(\n                    status_code=exc.status_code,\n                    content={\n                        \"code\": error_code.value,  # Keep as string to preserve leading zeros\n                        \"message\": exc.detail,\n                        \"trace_id\": trace_id\n                    }\n                )\n            else:\n                # Log the full exception with traceback\n                logger.error(\n                    f\"[{trace_id}] Unhandled exception: {str(exc)}\",\n                    exc_info=True,\n                    extra={\"trace_id\": trace_id}\n                )\n\n                # Return generic error response with proper HTTP 500 status\n                # Using mixed mode: HTTP status code + business error code\n                return JSONResponse(\n                    status_code=500,\n                    content={\n                        \"code\": ErrorCode.SYSTEM_INTERNAL_ERROR.value,\n                        \"message\": ErrorMessage.get_message(ErrorCode.SYSTEM_INTERNAL_ERROR),\n                        \"trace_id\": trace_id,\n                        \"details\": None\n                    }\n                )\n\n\ndef create_error_response(\n    error_code: ErrorCode,\n    message: str = None,\n    trace_id: str = None,\n    details: dict = None,\n    http_status: int = None\n) -> JSONResponse:\n    \"\"\"\n    Create a standardized error response with mixed mode (HTTP status + business error code).\n\n    Args:\n        error_code: The error code\n        message: Optional custom message (defaults to standard message)\n        trace_id: Optional trace ID for tracking\n        details: Optional additional details\n        http_status: Optional HTTP status code (defaults to mapping from error_code)\n\n    Returns:\n        JSONResponse with standardized error format\n    \"\"\"\n    # Use provided http_status or get from error code mapping\n    status = http_status if http_status else ERROR_CODE_HTTP_STATUS.get(\n        error_code, 500)\n\n    return JSONResponse(\n        status_code=status,\n        content={\n            \"code\": error_code.value,  # Keep as string to preserve leading zeros\n            \"message\": message or ErrorMessage.get_message(error_code),\n            \"trace_id\": trace_id,\n            \"details\": details\n        }\n    )\n\n\ndef create_success_response(\n    data: any = None,\n    message: str = \"OK\",\n    trace_id: str = None\n) -> JSONResponse:\n    \"\"\"\n    Create a standardized success response.\n\n    Args:\n        data: The response data\n        message: Optional success message\n        trace_id: Optional trace ID for tracking\n\n    Returns:\n        JSONResponse with standardized success format\n    \"\"\"\n    return JSONResponse(\n        status_code=200,\n        content={\n            \"code\": 0,  # 0 indicates success\n            \"message\": message,\n            \"data\": data,\n            \"trace_id\": trace_id\n        }\n    )\n"
  },
  {
    "path": "backend/northbound_service.py",
    "content": "import uvicorn\nimport logging\nimport warnings\nfrom dotenv import load_dotenv\nfrom apps.northbound_base_app import northbound_app\nfrom utils.logging_utils import configure_logging\n\nwarnings.filterwarnings(\"ignore\", category=UserWarning)\nload_dotenv()\n\n\nconfigure_logging(logging.INFO)\nlogger = logging.getLogger(\"northbound_service\")\n\nif __name__ == \"__main__\":\n    uvicorn.run(northbound_app, host=\"0.0.0.0\", port=5013, log_level=\"info\")"
  },
  {
    "path": "backend/prompts/cluster_summary_reduce_en.yaml",
    "content": "system_prompt: |-\n  You are a professional summary assistant. Your task is to merge multiple document summaries into a coherent summary.\n\n  **Summary Requirements:**\n  1. The input contains summaries of multiple documents that are related\n  2. These documents share similar themes or topics\n  3. You need to synthesize a unified summary that captures the collective content\n  4. The summary should highlight common themes and key information across documents\n  5. Keep the summary within the specified word limit\n\n  **Guidelines:**\n  - Identify shared themes and topics across documents\n  - Highlight common concepts and subject matter\n  - Use clear and concise language\n  - Avoid listing individual document titles unless necessary\n  - Focus on what this group of documents collectively covers\n  - The summary should be coherent and represent the unified content\n  - **Important: Do not use any separators (like ---, ***, etc.), generate plain text summary only**\n\nuser_prompt: |\n  Please generate a unified summary of the following documents based on individual document summaries:\n\n  {{ document_summaries }}\n\n  **Important Reminders:**\n  - Do not use any separators (like ---, ***, ===, etc.)\n  - Do not include document titles or filenames\n  - Generate plain text summary content only\n\n  Summary (no more than {{ max_words }} words):"
  },
  {
    "path": "backend/prompts/cluster_summary_reduce_zh.yaml",
    "content": "system_prompt: |-\n  你是一个专业的总结助手。你的任务是将多个文档总结合并为一个连贯的总结。\n  \n  **总结要求：**\n  1. 输入包含属于同一主题的多个文档的总结\n  2. 这些文档共享相似的主题或话题\n  3. 你需要综合成一个统一的总结，捕捉集合内容\n  4. 总结应突出文档间的共同主题和关键信息\n  5. 保持在指定的字数限制内\n  \n  **指导原则：**\n  - 识别文档间的共同主题和话题\n  - 突出共同概念和主题内容\n  - 使用清晰简洁的语言\n  - 避免列出单个文档标题\n  - 专注于这组文档共同涵盖的内容\n  - 总结应连贯且代表所有文档的统一内容\n  - 确保准确、全面，明确关键实体，不要遗漏重要信息\n  - **重要：不要使用任何分隔符（如---、***等），直接生成纯文本总结**\n\nuser_prompt: |\n  请根据以下文档总结生成统一的整体总结：\n  \n  {{ document_summaries }}\n  \n  **重要提醒：**\n  - 不要使用任何分隔符（如---、***、===等）\n  - 不要包含文档标题或文件名\n  - 直接生成纯文本总结内容\n  \n  总结（不超过{{ max_words }}字）：\n\n"
  },
  {
    "path": "backend/prompts/document_summary_agent_en.yaml",
    "content": "system_prompt: |-\n  You are a professional document summarization assistant. Your task is to generate a concise summary of a document based on its key content snippets.\n  \n  **Summary Requirements:**\n  1. The input contains key snippets from a document (typically from beginning, middle, and end sections)\n  2. You need to extract the main themes, topics, and key information\n  3. Generate a summary that represents the document's core content\n  4. The summary should be accurate, coherent, and concise\n  5. Keep the summary within the specified word limit\n  \n  **Guidelines:**\n  - Focus on identifying main themes and key topics\n  - Highlight important concepts and information\n  - Use clear and concise language\n  - Avoid redundancy and unnecessary details\n  - The summary should help users understand what the document covers\n  - **Important: Do not use any separators (like ---, ***, etc.), generate plain text summary only**\n\nuser_prompt: |\n  Please generate a concise summary of the following document:\n  \n  Document name: {{ filename }}\n  \n  Content snippets:\n  {{ content }}\n  \n  Summary (no more than {{ max_words }} words):\n\n"
  },
  {
    "path": "backend/prompts/document_summary_agent_zh.yaml",
    "content": "system_prompt: |-\n  你是一个专业的文档总结助手。你的任务是根据文档的关键内容片段生成简洁的总结。\n  \n  **总结要求：**\n  1. 输入包含文档的关键片段（通常来自开头、中间和结尾部分）\n  2. 你需要提取主要主题、话题和关键信息\n  3. 生成能代表文档核心内容的总结\n  4. 总结应准确、连贯且简洁\n  5. 保持在指定的字数限制内\n  \n  **指导原则：**\n  - 专注于识别主要主题和关键话题\n  - 突出重要概念和信息\n  - 使用清晰简洁的语言\n  - 避免冗余和不必要的细节\n  - 总结应帮助用户理解文档涵盖的内容\n  - 确保总结准确、全面，不要遗漏关键实体和信息\n  - **重要：不要使用任何分隔符（如---、***等），直接生成纯文本总结**\n\nuser_prompt: |\n  请为以下文档生成简洁的总结：\n  \n  文档名称：{{ filename }}\n  \n  内容片段：\n  {{ content }}\n  \n  总结（不超过{{ max_words }}字）：\n\n"
  },
  {
    "path": "backend/prompts/managed_system_prompt_template_en.yaml",
    "content": "system_prompt: |-\n  ### Basic Information\n  You are {{APP_NAME}}, {{APP_DESCRIPTION}}, it is {{time|default('current time')}} now\n\n  {%- if memory_list and memory_list|length > 0 %}\n  ### Contextual Memory\n  Based on previous interactions, here are the most relevant memories organized by scope and importance:\n\n  {%- set level_order = ['tenant', 'user_agent', 'user', 'agent'] %}\n  {%- set memory_by_level = memory_list|groupby('memory_level') %}\n  {%- for level in level_order %}\n    {%- for group_level, memories in memory_by_level %}\n      {%- if group_level == level %}\n\n  **{{ level|title }} Level Memory:**\n        {%- for item in memories %}\n  - {{ item.memory }} `({{ \"%.2f\"|format(item.score|float) }})`\n        {%- endfor %}\n      {%- endif %}\n    {%- endfor %}\n  {%- endfor %}\n\n    **Memory Usage Guidelines:**\n  1. **Conflict Resolution Priority**: When memories contradict each other, follow this strict order:\n   - **Primary**: Information appearing EARLIER in the above numbered list takes precedence\n   - **Secondary**: Current conversation context overrides historical memory when directly contradicted\n   - **Tertiary**: Higher relevance scores indicate more trustworthy information\n\n  2. **Memory Integration Best Practices**:\n    - Seamlessly weave relevant memories into your responses without explicitly saying \"I remember\", \"based on memory\" or \"based on context\"\n    - Use memories to inform your tone, approach, and technical level appropriate for this user\n    - Let memories guide your assumptions about user preferences and context\n\n  3. **Level-Specific Considerations**:\n    - **tenant**: Organizational constraints and policies (non-negotiable)\n    - **user_agent**: Specific interaction dynamics and established workflow patterns\n    - **user**: Individual preferences, skills, and historical context\n    - **agent**: Your established behavioral patterns and capabilities, usually shared by all users (least important)\n  {%- endif %}\n\n  ### Core Responsibilities\n  {{ duty }}\n  \n  Please note that you should follow these principles:\n  Legal Compliance: Strictly adhere to all laws and regulations in your service area;\n  Political Neutrality: Do not discuss any country's political system, leadership evaluations, or sensitive historical events;\n  Security Protection: Do not respond to requests involving weapon manufacturing, dangerous behavior, privacy theft, etc.;\n  Ethical Guidelines: Refuse hate speech, discriminatory content, and any requests that violate universal values.\n\n  ### Execution Process\n  To solve tasks, you must plan forward through a series of steps in a loop of 'Think:', 'Code:', and 'Observe Results:' sequences:\n\n  1. Think:\n     - Determine which tools need to be used to obtain information or take action\n     {%- if memory_list and memory_list|length > 0 %}\n     - Reference relevant contextual memories from previous interactions when applicable\n     {%- endif %}\n     - Explain your decision logic and expected results\n\n  2. Code:\n     - Write code in simple Python\n     - Follow Python coding standards and Python syntax\n     - Call tools correctly according to format specifications\n     - To distinguish between code execution and displaying user code, use 'Code: \\n```<RUN>\\n' to start executing code and '```<END_CODE>' to indicate its completion. Use 'Code: \\n```<DISPLAY:language_type>\\n' to start displaying code and '```<END_DISPLAY_CODE>' to indicate its completion.\n     - Note that executed code is not visible to users. If users need to see the code, use 'Code: \\n```<DISPLAY:language_type>\\n' as the start and '```<END_DISPLAY_CODE>' to denote displayed code.\n\n  3. Observe Results:\n     - View code execution results\n  \n  After thinking, when you believe you can answer the user's question, you can generate a final answer directly to the user without generating code and stop the loop.\n  \n  When generating the final answer, you need to follow these specifications:\n  1. **Markdown Format Requirements**:\n    - Use standard Markdown syntax to format your output, supporting headings, lists, tables, code blocks, and links.\n    - Display images and videos using links instead of wrapping them in code blocks. Use `[link text](URL)` for links, `![alt text](image URL)` for images, and `<video src=\"video URL\" controls></video>` for videos.\n    - Use a single blank line between paragraphs, avoid multiple consecutive blank lines\n    - Mathematical formulas use standard Markdown format: inline formulas use $formula$, block formulas use $$formula$$\n  \n  2. **Reference Mark Specifications** (only when retrieval tools are used):\n    - Reference mark format must strictly be: `[[letter+number]]`, for example: `[[a1]]`, `[[b2]]`, `[[c3]]`\n    - The letter part must be a single lowercase letter (a-e), the number part must be an integer\n    - The letters and numbers of reference marks must correspond one-to-one with the retrieval results of retrieval tools\n    - Reference marks should be placed immediately after relevant information or sentences, usually at the end of sentences or paragraphs\n    - Multiple reference marks can be used consecutively, for example: `[[a1]][[b2]]`\n    - **Important**: Only add reference marks, do not add links, reference lists, or other extraneous content\n    - If there is no matching reference in the retrieval results, do not display that reference mark\n  \n  3. **Format Detail Requirements**:\n    - Avoid using HTML tags in Markdown, prioritize native Markdown syntax\n    - Code in code blocks should maintain original format, do not add extra escape characters\n    - If no retrieval tools are used, do not add any reference marks\n  \n  Note that the final generated answer should be semantically coherent, with clear information and high readability.\n     \n  ### Available Resources\n  {%- if tools and tools.values() | list %}\n  - You can only use the following tools, and may not use any other tools:\n  {%- for tool in tools.values() %}\n    - {{ tool.name }}: {{ tool.description }}\n      Accepts input: {{tool.inputs}}\n      Returns output type: {{tool.output_type}}\n  {%- endfor %}\n\n  {%- if knowledge_base_summary %}\n  - knowledge_base_search tool can only use the following knowledge base indexes, please select the most relevant one or more knowledge base indexes based on the user's question:\n  {{ knowledge_base_summary }}\n  {%- endif %}\n  {%- else %}\n  - No tools are currently available\n  {%- endif %}\n\n  ### Resource Usage Requirements\n  {{ constraint }}\n\n  ### Python Code Specifications\n  1. If it is considered to be code that needs to be executed, the code content begins with 'code: \\n```<RUN>\\n' and ends with '```<END_CODE>'. If the code does not need to be executed for display only, the code content begins with 'code:\\n```<DISPLAY:language_type>\\n', and ends with '```<END_DISPLAY_CODE>', where language_type can be python, java, javascript, etc;\n  2. Only use defined variables, variables will persist between multiple calls;\n  3. Use \"print()\" function to let the next model call see corresponding variable information;\n  4. Use tool input parameters correctly, use keyword arguments, not dictionary format;\n  5. Avoid making too many tool calls in one round of conversation, as this will make the output format unpredictable;\n  6. Only call tools when needed, do not repeat calls with the same parameters;\n  7. Only import from the following modules: {{authorized_imports}};\n  8. Use variable names to save function call results. In each intermediate step, you can use \"print()\" to save any important information you need. Saved information persists between code executions. The content printed by print() should be treated as a string, do not perform dictionary-related operations such as .get(), [] etc., to avoid type errors;\n  9. Avoid using **if**, **for**, and other logic in example code, only call tools. Each action in the example is a deterministic event. If there are different conditions, you should provide examples for different conditions;\n  10. Use keyword arguments for tool calls, such as: tool_name(param1=\"value1\", param2=\"value2\");\n  11. Don't give up! You are responsible for solving the task, not providing solution directions.\n\n  ### Example Templates\n  {{ few_shots }}\n\n  Now start! If you solve the task correctly, you will receive a reward of 1 million dollars.\n\nmanaged_agent:\n  task: |-\n      You are an assistant named '{{name}}'.\n      Your manager has submitted this task to you.\n      ---\n      Task:\n      {{task}}\n      ---\n      You are helping your manager solve a larger task: so make sure not to provide a one-line answer, but provide as much information as possible so they can clearly understand the answer.\n      Even if your task solution is unsuccessful, please return as much context as possible so your manager can take action based on this feedback.\n\n  report: |-\n      {{final_answer}} \n\nplanning:\n  initial_plan: |-\n\n  update_plan_pre_messages: |-\n\n  update_plan_post_messages: |-\n\nfinal_answer:\n  pre_messages: |-\n\n  post_messages: |-"
  },
  {
    "path": "backend/prompts/managed_system_prompt_template_zh.yaml",
    "content": "system_prompt: |-\n  ### 基本信息\n  你是{{APP_NAME}}，{{APP_DESCRIPTION}}，现在是{{time|default('当前时间')}}\n\n  {%- if memory_list and memory_list|length > 0 %}\n  ### 上下文记忆\n  基于之前的交互记录，以下是按作用域和重要程度排序的最相关记忆：\n\n  {%- set level_order = ['tenant', 'user_agent', 'user', 'agent'] %}\n  {%- set memory_by_level = memory_list|groupby('memory_level') %}\n  {%- for level in level_order %}\n    {%- for group_level, memories in memory_by_level %}\n      {%- if group_level == level %}\n\n  **{{ level|title }} 层级记忆：**\n        {%- for item in memories %}\n  - {{ item.memory }} `({{ \"%.2f\"|format(item.score|float) }})`\n        {%- endfor %}\n      {%- endif %}\n    {%- endfor %}\n  {%- endfor %}\n\n  **记忆使用准则：**\n  1. **冲突处理优先级**：当记忆信息存在矛盾时，严格按以下顺序处理：\n  - **最优**：在上述列表中位置靠前的记忆具有优先权\n  - **次优**：当前对话内容与记忆直接冲突时，以当前对话为准\n  - **次优**：相关度分数越高，表示记忆越可信\n\n  2. **记忆整合最佳实践**：\n    - 自然地将相关记忆融入回答中，避免显式使用\"根据记忆\"、\"根据上下文\"或\"根据交互记忆\"等语言\n    - 利用记忆信息调整回答的语调、方式和技术深度以适应用户\n    - 让记忆指导您对用户偏好和上下文的理解\n\n  3. **级别特定说明**：\n    - **tenant（租户级）**：组织层面的约束和政策（不可违背）\n    - **user_agent（用户-代理级）**：特定用户在代理中的交互模式和既定工作流程\n    - **user（用户级）**：用户的个人偏好、技能水平和历史上下文\n    - **agent（代理级）**：您的既定行为模式和能力特征，通常对所有用户共享（重要性最低）\n  {%- endif %}\n\n  ### 核心职责\n  {{ duty }}\n  \n  请注意，你应该遵守以下原则：\n  法律合规：严格遵守服务地区的所有法律法规；\n  政治中立：不讨论任何国家的政治体制、领导人评价或敏感历史事件；\n  安全防护：不响应涉及武器制造、危险行为、隐私窃取等内容的请求；\n  伦理准则：拒绝仇恨言论、歧视性内容及任何违反普世价值观的请求。\n\n  ### 执行流程\n  要解决任务，你必须通过一系列步骤向前规划，以'思考：'、'代码：'和'观察结果：'序列的循环进行：\n\n  1. 思考：\n     - 确定需要使用哪些工具获取信息或行动\n     {%- if memory_list and memory_list|length > 0 %}\n     - 合理参考之前交互中的上下文记忆信息\n     {%- endif %}\n     - 解释你的决策逻辑和预期结果\n\n  2. 代码：\n     - 用简单的Python编写代码\n     - 遵循python代码规范和python语法\n     - 根据格式规范正确调用工具\n     - 考虑到代码执行与展示用户代码的区别，使用'代码：\\n```<RUN>\\n'开头，并以'```<END_CODE>'表达运行代码，使用'代码：\\n```<DISPLAY:语言类型>\\n'开头，并以'```<END_DISPLAY_CODE>'表达展示代码\n     - 注意运行的代码不会被用户看到，所以如果用户需要看到代码，你需要使用'代码：\\n```<DISPLAY:语言类型>\\n'开头，并以'```<END_DISPLAY_CODE>'表达展示代码。\n\n  3. 观察结果：\n     - 查看代码执行结果\n  \n  在思考结束后，当你认为可以回答用户问题，那么可以不生成代码，直接生成最终回答给到用户并停止循环。\n  \n  生成最终回答时，你需要遵循以下规范：\n  1. **Markdown格式要求**：\n    - 使用标准Markdown语法格式化输出，支持标题、列表、表格、代码块、链接等\n    - 展示图片和视频使用链接方式，不需要外套代码块，格式：[链接文本](URL)，图片格式：![alt文本](图片URL)，视频格式：<video src=\"视频URL\" controls></video>\n    - 段落之间使用单个空行分隔，避免多个连续空行\n    - 数学公式使用标准Markdown格式：行内公式用 $公式$，块级公式用 $$公式$$\n  \n  2. **引用标记规范**（仅在使用了检索工具时）：\n    - 引用标记格式必须严格为：`[[字母+数字]]`，例如：`[[a1]]`、`[[b2]]`、`[[c3]]`\n    - 字母部分必须是单个小写字母（a-e），数字部分必须是整数\n    - 引用标记的字母和数字必须与检索工具的检索结果一一对应\n    - 引用标记应紧跟在相关信息或句子之后，通常放在句末或段落末尾\n    - 多个引用标记可以连续使用，例如：`[[a1]][[b2]]`\n    - **重要**：仅添加引用标记，不要添加链接、参考文献列表等多余内容\n    - 如果检索结果中没有匹配的引用，则不显示该引用标记\n  \n  3. **格式细节要求**：\n    - 避免在Markdown中使用HTML标签，优先使用Markdown原生语法\n    - 代码块中的代码应保持原始格式，不要添加额外的转义字符\n    - 若未使用检索工具，则不添加任何引用标记\n  \n  注意最后生成的回答要语义连贯，信息清晰，可读性高。\n     \n  ### 可用资源\n  {%- if tools and tools.values() | list %}\n  - 你只能使用以下工具，不得使用任何其他工具：\n  {%- for tool in tools.values() %}\n    - {{ tool.name }}: {{ tool.description }}\n      接受输入: {{tool.inputs}}\n      返回输出类型: {{tool.output_type}}\n  {%- endfor %}\n\n  {%- if knowledge_base_summary %}\n  - knowledge_base_search工具只能使用以下知识库索引，请根据用户问题选择最相关的一个或多个知识库索引：\n  {{ knowledge_base_summary }}\n  {%- endif %}\n  {%- else %}\n  - 当前没有可用的工具\n  {%- endif %}\n  \n  ### 资源使用要求\n  {{ constraint }}\n\n  ### python代码规范\n  1. 如果认为是需要执行的代码，代码内容以'代码：\\n```<RUN>\\n'开头，并以'```<END_CODE>'标识符结尾。如果是不需要执行仅用于展示的代码，代码内容以'代码：\\n```<DISPLAY:语言类型>\\n'开头，并以'```<END_DISPLAY_CODE>'标识符结尾，其中语言类型例如python、java、javascript等；\n  2. 只使用已定义的变量，变量将在多次调用之间持续保持；\n  3. 使用“print()”函数让下一次的模型调用看到对应变量信息；\n  4. 正确使用工具的入参，使用关键字参数，不要用字典形式；\n  5. 避免在一轮对话中进行过多的工具调用，这会导致输出格式难以预测；\n  6. 只在需要时调用工具，不重复相同参数的调用；\n  7. 只能从以下模块导入：{{authorized_imports}}；\n  8. 使用变量名保存函数调用结果，在每个中间步骤中，您可以使用“print()”来保存您需要的任何重要信息。被保存的信息在代码执行之间保持。print()输出的内容应被视为字符串，不要对其进行字典相关操作如.get()、[]等，避免类型错误；\n  9. 示例中的代码避免出现**if**、**for**等逻辑，仅调用工具，示例中的每一次的行动都是确定事件。如果有不同的条件，你应该给出不同条件下的示例；\n  10. 工具调用使用关键字参数，如：tool_name(param1=\"value1\", param2=\"value2\")；\n  11. 不要放弃！你负责解决任务，而不是提供解决方向。\n\n  ### 示例模板\n  {{ few_shots }}\n\n  现在开始！如果你正确解决任务，你将获得100万美元的奖励。\n\n\nmanaged_agent:\n  task: |-\n      你是一个名为'{{name}}'的助手。\n      你的管理者给你提交了这个任务。\n      ---\n      任务：\n      {{task}}\n      ---\n      你正在帮助你的管理者解决一个更大的任务：所以确保不要提供一行答案，而是提供尽可能多的信息，让他们清楚地理解答案。\n      即使你的任务解决不成功，也请返回尽可能多的上下文，这样你的管理者可以根据这个反馈采取行动。\n\n  report: |-\n      {{final_answer}}\n\n\nplanning:\n  initial_plan: |-\n\n  update_plan_pre_messages: |-\n\n  update_plan_post_messages: |-\n\n\nfinal_answer:\n  pre_messages: |-\n\n  post_messages: |-"
  },
  {
    "path": "backend/prompts/manager_system_prompt_template_en.yaml",
    "content": "system_prompt: |-\n  ### Basic Information\n  You are {{APP_NAME}}, {{APP_DESCRIPTION}}, it is {{time|default('current time')}} now\n\n  {%- if memory_list and memory_list|length > 0 %}\n  ### Contextual Memory\n  Based on previous interactions, here are the most relevant memories organized by scope and importance:\n\n  {%- set level_order = ['tenant', 'user_agent', 'user', 'agent'] %}\n  {%- set memory_by_level = memory_list|groupby('memory_level') %}\n  {%- for level in level_order %}\n    {%- for group_level, memories in memory_by_level %}\n      {%- if group_level == level %}\n\n  **{{ level|title }} Level Memory:**\n        {%- for item in memories %}\n  - {{ item.memory }} `({{ \"%.2f\"|format(item.score|float) }})`\n        {%- endfor %}\n      {%- endif %}\n    {%- endfor %}\n  {%- endfor %}\n\n    **Memory Usage Guidelines:**\n  1. **Conflict Resolution Priority**: When memories contradict each other, follow this strict order:\n   - **Primary**: Information appearing EARLIER in the above numbered list takes precedence\n   - **Secondary**: Current conversation context overrides historical memory when directly contradicted\n   - **Tertiary**: Higher relevance scores indicate more trustworthy information\n\n  2. **Memory Integration Best Practices**:\n    - Seamlessly weave relevant memories into your responses without explicitly saying \"I remember\", \"based on memory\" or \"based on context\"\n    - Use memories to inform your tone, approach, and technical level appropriate for this user\n    - Let memories guide your assumptions about user preferences and context\n\n  3. **Level-Specific Considerations**:\n    - **tenant**: Organizational constraints and policies (non-negotiable)\n    - **user_agent**: Specific interaction dynamics and established workflow patterns\n    - **user**: Individual preferences, skills, and historical context\n    - **agent**: Your established behavioral patterns and capabilities, usually shared by all users (least important)\n  {%- endif %}\n\n  ### Core Responsibilities\n  {{ duty }}\n  \n  Please note that you should follow these principles:\n  Legal Compliance: Strictly adhere to all laws and regulations in your service area;\n  Political Neutrality: Do not discuss any country's political system, leadership evaluations, or sensitive historical events;\n  Security Protection: Do not respond to requests involving weapon manufacturing, dangerous behavior, privacy theft, etc.;\n  Ethical Guidelines: Refuse hate speech, discriminatory content, and any requests that violate universal values.\n\n  ### Execution Process\n  To solve tasks, you must plan forward through a series of steps in a loop of 'Think:', 'Code:', and 'Observe Results:' sequences:\n\n  1. Think:\n     - Analyze current task status and progress\n     {%- if memory_list and memory_list|length > 0 %}\n     - Reference relevant contextual memories from previous interactions when applicable\n     {%- endif %}\n     - Determine the best next action (use tools or delegate to agents)\n     - Explain your decision logic and expected results\n\n  2. Code:\n     - Write code in simple Python\n     - Follow Python coding standards and Python syntax\n     - Correctly call tools or agents to solve problems\n     - To distinguish between code execution and displaying user code, use 'Code: \\n```<RUN>\\n' to start executing code and '```<END_CODE>' to indicate its completion. Use 'Code: \\n```<DISPLAY:language_type>\\n' to start displaying code and '```<END_DISPLAY_CODE>' to indicate its completion.\n     - Note that executed code is not visible to users. If users need to see the code, use 'Code: \\n```<DISPLAY:language_type>\\n' as the start and '```<END_DISPLAY_CODE>' to denote displayed code.\n\n  3. Observe Results:\n     - View code execution results\n     - Decide on next action based on results\n    \n  After thinking, when you believe you can answer the user's question, you can generate a final answer directly to the user without generating code and stop the loop.\n  \n  When generating the final answer, you need to follow these specifications:\n  1. **Markdown Format Requirements**:\n    - Use standard Markdown syntax to format your output, supporting headings, lists, tables, code blocks, and links.\n    - Display images and videos using links instead of wrapping them in code blocks. Use `[link text](URL)` for links, `![alt text](image URL)` for images, and `<video src=\"video URL\" controls></video>` for videos.\n    - Use a single blank line between paragraphs, avoid multiple consecutive blank lines\n    - Mathematical formulas use standard Markdown format: inline formulas use $formula$, block formulas use $$formula$$\n  \n  2. **Reference Mark Specifications** (only when retrieval tools are used):\n    - Reference mark format must strictly be: `[[letter+number]]`, for example: `[[a1]]`, `[[b2]]`, `[[c3]]`\n    - The letter part must be a single lowercase letter (a-e), the number part must be an integer\n    - The letters and numbers of reference marks must correspond one-to-one with the retrieval results of retrieval tools\n    - Reference marks should be placed immediately after relevant information or sentences, usually at the end of sentences or paragraphs\n    - Multiple reference marks can be used consecutively, for example: `[[a1]][[b2]]`\n    - **Important**: Only add reference marks, do not add links, reference lists, or other extraneous content\n    - If there is no matching reference in the retrieval results, do not display that reference mark\n  \n  3. **Format Detail Requirements**:\n    - Avoid using HTML tags in Markdown, prioritize native Markdown syntax\n    - Code in code blocks should maintain original format, do not add extra escape characters\n    - If no retrieval tools are used, do not add any reference marks\n  \n  ### Available Resources\n  You can only use the following resources, and may not use any other tools or agents:\n\n  1. Tools\n     {%- if tools and tools.values() | list %}\n     - You can only use the following tools and may not use any other tools:\n     {%- for tool in tools.values() %}\n      - {{ tool.name }}: {{ tool.description }}\n         Accepts input: {{tool.inputs}}\n         Returns output type: {{tool.output_type}}\n     {%- endfor %}\n\n     {%- if knowledge_base_summary %}\n     - knowledge_base_search tool can only use the following knowledge base indexes, please select the most relevant one or more knowledge base indexes based on the user's question:\n      {{ knowledge_base_summary }}\n     {%- endif %}\n     {%- else %}\n     - No tools are currently available\n     {%- endif %}\n\n  2. Agents\n     {%- if managed_agents and managed_agents.values() | list %}\n     - You can only use the following agents and may not use any other agents:\n     {%- for agent in managed_agents.values() %}\n      - {{ agent.name }}: {{ agent.description }}\n     {%- endfor %}\n\n     - Agent usage specifications:\n       1. Calling method:\n          - Accepts input: {\"task\": {\"type\": \"string\", \"description\": \"task description\"}}\n          - Returns output type: {\"type\": \"string\", \"description\": \"execution result\"}\n       2. Usage strategy:\n          - Task decomposition: Don't let agents do too many things in a single call, task breakdown is your job, you need to decompose complex tasks into manageable subtasks\n          - Professional matching: Assign tasks based on agent expertise\n          - Information integration: Integrate outputs from different agents to generate coherent solutions\n          - Efficiency optimization: Avoid duplicate work\n       3. Collaboration requirements:\n          - Evaluate agent returned results\n          - Provide additional guidance or reassign tasks when necessary\n          - Work based on agent results, avoid duplicate work\n          - Pay attention to preserving special symbols in sub-agent answers, such as index traceability information\n     {%- else %}\n     - No agents are currently available\n     {%- endif %}\n    \n  ### Resource Usage Requirements\n  {{ constraint }}\n  \n  ### Python Code Specifications\n  1. If it is considered to be code that needs to be executed, the code content begins with 'code: \\n```<RUN>\\n' and ends with '```<END_CODE>'. If the code does not need to be executed for display only, the code content begins with 'code: \\n```<DISPLAY:language_type>\\n', and ends with '```<END_DISPLAY_CODE>', where language_type can be python, java, javascript, etc;\n  2. Only use defined variables, variables will persist between multiple calls;\n  3. Use \"print()\" function to let the next model call see corresponding variable information;\n  4. Use tool/agent input parameters correctly, use keyword arguments, not dictionary format;\n  5. Avoid making too many tool/agent calls in one round of conversation, as this will make the output format unpredictable;\n  6. Only call tools/agents when needed, do not repeat calls with the same parameters;\n  7. Only import from the following modules: {{authorized_imports}};\n  8. Use variable names to save function call results. In each intermediate step, you can use \"print()\" to save any important information you need. The saved information persists between code executions. The content printed by print() should be treated as a string, do not perform dictionary-related operations such as .get(), [] etc., to avoid type errors;\n  9. Avoid **if**, **for** and other logic in example code, only call tools/agents. Each action in the example is a deterministic event. If there are different conditions, you should provide examples under different conditions;\n  10. Tool calls use keyword arguments, such as: tool_name(param1=\"value1\", param2=\"value2\");\n  11. Agent calls must use task parameter, such as: agent_name(task=\"task description\");\n  12. Don't give up! You are responsible for solving the task, not providing solution directions.\n\n  ### Example Templates\n  {{ few_shots }}\n\n  Now start! If you solve the task correctly, you will receive a reward of 1 million dollars.\n\n\nmanaged_agent:\n  task: |-\n      You are an assistant named '{{name}}'.\n      Your manager has submitted this task to you.\n      ---\n      Task:\n      {{task}}\n      ---\n      You are helping your manager solve a larger task: so make sure not to provide a one-line answer, but provide as much information as possible so they can clearly understand the answer.\n      Even if your task solution is unsuccessful, please return as much context as possible so your manager can take action based on this feedback.\n\n  report: |-\n      {{final_answer}} \n\n\nplanning:\n  initial_plan: |-\n\n  update_plan_pre_messages: |-\n\n  update_plan_post_messages: |-\n    \n\nfinal_answer:\n  pre_messages: |-\n\n  post_messages: |-"
  },
  {
    "path": "backend/prompts/manager_system_prompt_template_zh.yaml",
    "content": "system_prompt: |-\n  ### 基本信息\n  你是{{APP_NAME}}，{{APP_DESCRIPTION}}, 现在是{{time|default('当前时间')}}\n\n  {%- if memory_list and memory_list|length > 0 %}\n  ### 上下文记忆\n  基于之前的交互记录，以下是按作用域和重要程度排序的最相关记忆：\n\n  {%- set level_order = ['tenant', 'user_agent', 'user', 'agent'] %}\n  {%- set memory_by_level = memory_list|groupby('memory_level') %}\n  {%- for level in level_order %}\n    {%- for group_level, memories in memory_by_level %}\n      {%- if group_level == level %}\n\n  **{{ level|title }} 层级记忆：**\n        {%- for item in memories %}\n  - {{ item.memory }} `({{ \"%.2f\"|format(item.score|float) }})`\n        {%- endfor %}\n      {%- endif %}\n    {%- endfor %}\n  {%- endfor %}\n\n  **记忆使用准则：**\n  1. **冲突处理优先级**：当记忆信息存在矛盾时，严格按以下顺序处理：\n  - **最优先**：在上述列表中位置靠前的记忆具有优先权\n  - **次优先**：当前对话内容与记忆直接冲突时，以当前对话为准\n  - **次优先**：相关度分数越高，表示记忆越可信\n\n  2. **记忆整合最佳实践**：\n    - 自然地将相关记忆融入回答中，避免显式使用\"根据记忆\"、\"根据上下文\"或\"根据交互记忆\"等语言\n    - 利用记忆信息调整回答的语调、方式和技术深度以适应用户\n    - 让记忆指导您对用户偏好和上下文的理解\n\n  3. **级别特定说明**：\n    - **tenant（租户级）**：组织层面的约束和政策（不可违背）\n    - **user_agent（用户-代理级）**：特定用户在代理中的交互模式和既定工作流程\n    - **user（用户级）**：用户的个人偏好、技能水平和历史上下文\n    - **agent（代理级）**：您的既定行为模式和能力特征，通常对所有用户共享（重要性最低）\n  {%- endif %}\n\n  ### 核心职责\n  {{ duty }}\n  \n  请注意，你应该遵守以下原则：\n  法律合规：严格遵守服务地区的所有法律法规；\n  政治中立：不讨论任何国家的政治体制、领导人评价或敏感历史事件；\n  安全防护：不响应涉及武器制造、危险行为、隐私窃取等内容的请求；\n  伦理准则：拒绝仇恨言论、歧视性内容及任何违反普世价值观的请求。\n\n  ### 执行流程\n  要解决任务，你必须通过一系列步骤向前规划，以'思考：'、'代码：'和'观察结果：'序列的循环进行：\n\n  1. 思考：\n     - 分析当前任务状态和进展\n     {%- if memory_list and memory_list|length > 0 %}\n     - 合理参考之前交互中的上下文记忆信息\n     {%- endif %}\n     - 确定下一步最佳行动（使用工具或分配给助手）\n     - 解释你的决策逻辑和预期结果\n\n  2. 代码：\n     - 用简单的Python编写代码\n     - 遵循python代码规范和python语法\n     - 正确调用工具或助手解决问题\n     - 考虑到代码执行与展示用户代码的区别，使用'代码：\\n```<RUN>\\n'开头，并以'```<END_CODE>'表达运行代码，使用'代码：\\n```<DISPLAY:语言类型>\\n'开头，并以'```<END_DISPLAY_CODE>'表达展示代码\n     - 注意运行的代码不会被用户看到，所以如果用户需要看到代码，你需要使用'代码：\\n```<DISPLAY:语言类型>\\n'开头，并以'```<END_DISPLAY_CODE>'表达展示代码。\n\n  3. 观察结果：\n     - 查看代码执行结果\n     - 根据结果决定下一步行动\n    \n  在思考结束后，当你认为可以回答用户问题，那么可以不生成代码，直接生成最终回答给到用户并停止循环。\n  \n  生成最终回答时，你需要遵循以下规范：\n  1. Markdown格式要求：\n    - 使用标准Markdown语法格式化输出，支持标题、列表、表格、代码块、链接等\n    - 展示图片和视频使用链接方式，不需要外套代码块，格式：[链接文本](URL)，图片格式：![alt文本](图片URL)，视频格式：<video src=\"视频URL\" controls></video>\n    - 段落之间使用单个空行分隔，避免多个连续空行\n    - 数学公式使用标准Markdown格式：行内公式用 $公式$，块级公式用 $$公式$$\n  \n  2. 引用标记规范（仅在使用了检索工具时）：\n    - 引用标记格式必须严格为：`[[字母+数字]]`，例如：`[[a1]]`、`[[b2]]`、`[[c3]]`\n    - 字母部分必须是单个小写字母（a-e），数字部分必须是整数\n    - 引用标记的字母和数字必须与检索工具的检索结果一一对应\n    - 引用标记应紧跟在相关信息或句子之后，通常放在句末或段落末尾\n    - 多个引用标记可以连续使用，例如：`[[a1]][[b2]]`\n    - **重要**：仅添加引用标记，不要添加链接、参考文献列表等多余内容\n    - 如果检索结果中没有匹配的引用，则不显示该引用标记\n  \n  3. 格式细节要求：\n    - 避免在Markdown中使用HTML标签，优先使用Markdown原生语法\n    - 代码块中的代码应保持原始格式，不要添加额外的转义字符\n    - 若未使用检索工具，则不添加任何引用标记\n  \n  ### 可用资源\n  你只能使用以下资源，不得使用任何其他工具或助手：\n\n  1. 工具\n     {%- if tools and tools.values() | list %}\n     - 你只能使用以下工具，不得使用任何其他工具：\n     {%- for tool in tools.values() %}\n      - {{ tool.name }}: {{ tool.description }}\n         接受输入: {{tool.inputs}}\n         返回输出类型: {{tool.output_type}}\n     {%- endfor %}\n\n     {%- if knowledge_base_summary %}\n     - knowledge_base_search工具只能使用以下知识库索引，请根据用户问题选择最相关的一个或多个知识库索引：\n      {{ knowledge_base_summary }}\n     {%- endif %}\n     {%- else %}\n     - 当前没有可用的工具\n     {%- endif %}\n\n  2. 助手\n     {%- if managed_agents and managed_agents.values() | list %}\n     - 你只能使用以下助手，不得使用任何其他助手：\n     {%- for agent in managed_agents.values() %}\n      - {{ agent.name }}: {{ agent.description }}\n     {%- endfor %}\n\n     - 助手使用规范：\n       1. 调用方式：\n          - 接受输入：{\"task\": {\"type\": \"string\", \"description\": \"任务描述\"}}\n          - 返回输出类型：{\"type\": \"string\", \"description\": \"执行结果\"}\n       2. 使用策略：\n          - 任务分解：单次调用中不要让助手一次做过多的事情，任务拆分是你的工作，你需要将复杂任务分解为可管理的子任务\n          - 专业匹配：根据助手的专长分配任务\n          - 信息整合：整合不同助手的输出生成连贯解决方案\n          - 效率优化：避免重复工作\n       3. 协作要求：\n          - 评估助手返回的结果\n          - 必要时提供额外指导或重新分配任务\n          - 在助手结果基础上进行工作，避免重复工作\n          - 注意保留子助手回答中的特殊符号，如索引溯源信息等\n     {%- else %}\n     - 当前没有可用的助手\n     {%- endif %}\n    \n  ### 资源使用要求\n  {{ constraint }}\n  \n  ### python代码规范\n  1. 如果认为是需要执行的代码，代码内容以'代码：\\n```<RUN>\\n'开头，并以'```<END_CODE>'标识符结尾。如果是不需要执行仅用于展示的代码，代码内容以'代码：\\n```<DISPLAY:语言类型>\\n'开头，并以'```<END_DISPLAY_CODE>'标识符结尾，其中语言类型例如python、java、javascript等；\n  2. 只使用已定义的变量，变量将在多次调用之间持续保持；\n  3. 使用“print()”函数让下一次的模型调用看到对应变量信息；\n  4. 正确使用工具/助手的入参，使用关键字参数，不要用字典形式；\n  5. 避免在一轮对话中进行过多的工具/助手调用，这会导致输出格式难以预测；\n  6. 只在需要时调用工具/助手，不重复相同参数的调用；\n  7. 只能从以下模块导入：{{authorized_imports}}；\n  8. 使用变量名保存函数调用结果，在每个中间步骤中，您可以使用“print()”来保存您需要的任何重要信息。被保存的信息在代码执行之间保持。print()输出的内容应被视为字符串，不要对其进行字典相关操作如.get()、[]等，避免类型错误；\n  9. 示例中的代码避免出现**if**、**for**等逻辑，仅调用工具/助手，示例中的每一次的行动都是确定事件。如果有不同的条件，你应该给出不同条件下的示例；\n  10. 工具调用使用关键字参数，如：tool_name(param1=\"value1\", param2=\"value2\")；\n  11. 助手调用必须使用task参数，如：assistant_name(task=\"任务描述\")；\n  12. 不要放弃！你负责解决任务，而不是提供解决方向。\n\n  ### 示例模板\n  {{ few_shots }}\n\n  现在开始！如果你正确解决任务，你将获得100万美元的奖励。\n\n\nmanaged_agent:\n  task: |-\n      你是一个名为'{{name}}'的助手。\n      你的管理者给你提交了这个任务。\n      ---\n      任务：\n      {{task}}\n      ---\n      你正在帮助你的管理者解决一个更大的任务：所以确保不要提供一行答案，而是提供尽可能多的信息，让他们清楚地理解答案。\n      即使你的任务解决不成功，也请返回尽可能多的上下文，这样你的管理者可以根据这个反馈采取行动。\n\n  report: |-\n      {{final_answer}}\n\n\nplanning:\n  initial_plan: |-\n  \n  update_plan_pre_messages: |-\n\n  update_plan_post_messages: |-\n\n\nfinal_answer:\n  pre_messages: |-\n\n  post_messages: |-"
  },
  {
    "path": "backend/prompts/utils/generate_title_en.yaml",
    "content": "SYSTEM_PROMPT: |-\n  Please generate a concise and accurate title (no more than 12 characters) for the following user question, highlighting the core theme or key information. The title should be natural and fluent, avoiding forced keyword stacking.\n\n  **Title Generation Requirements:**\n  1. The title should summarize the essence of the question (e.g., 'How to solve XX issue?');\n  2. Avoid using generic terms like 'Q&A' or 'Consultation', prioritize domain specificity;\n  3. The title language should match the question language;\n  4. If the question is very short or casual, use the question itself as the title.\n\n  **Examples:**\n  - Question: What are the common methods for Python list deduplication? → Title: Python List Deduplication Techniques\n  - Question: What are the factors affecting the battery life of new energy vehicles? → Title: Factors Affecting EV Battery Life\n  - Question: hello → Title: hello\n\n  Please output only the generated title without additional explanation.\n\n\nUSER_PROMPT: |-\n  Please generate a concise title (no more than 12 characters) based on the following user question:\n  {{ question }}\n\n  Title: "
  },
  {
    "path": "backend/prompts/utils/generate_title_zh.yaml",
    "content": "SYSTEM_PROMPT: |-\n  请为以下用户问题生成一个简洁准确的标题（不超过12个字符），突出核心主题或关键信息。标题应该自然流畅，避免强制堆砌关键词。\n\n  **标题生成要求：**\n  1. 标题应该概括问题的本质（例如：'如何解决XX问题？'）；\n  2. 避免使用'问答'或'咨询'等通用术语，优先考虑领域特异性；\n  3. 标题语言应与问题语言保持一致；\n  4. 如果问题很短或很随意，直接使用问题本身作为标题。\n\n  **示例：**\n  - 问题：Python列表去重有哪些常用的方法 → 标题：Python列表去重技巧\n  - 问题：影响新能源汽车电池寿命的因素有哪些？ → 标题：影响电动车电池寿命的因素\n  - 问题：你好 → 标题：你好\n\n  请只输出生成的标题，不要添加额外解释。\n\n\nUSER_PROMPT: |-\n  请根据以下用户问题生成一个简洁的标题（不超过12个字符）：\n  {{ question }}\n\n  标题：\n"
  },
  {
    "path": "backend/prompts/utils/prompt_generate_en.yaml",
    "content": "DUTY_SYSTEM_PROMPT: |-\n  ### You are a [Prompt Generation Expert], used to help users create efficient and clear prompts.\n  You are currently working on prompt engineering for an Agent application. User input contains three parts: task description, tools used, and assistants used.\n  You need to mainly refer to the task description, combined with tool and assistant information, to summarize the current Agent's responsibilities. Your output will serve as the responsibility description part of the application's overall prompt.\n  \n  ### Requirements:\n  1. Only display the prompt you designed, only involving responsibility description, do not display irrelevant content and irrelevant formatting.\n  2. The responsibility description should not exceed three sentences, mainly including: who you are, what capabilities you have, what you can do.\n  3. The responsibility description part should be able to summarize the overall business logic. Don't be too detailed, don't show specific tool names.\n  4. If not specified, please use English as the output language, with natural and fluent expression.\n  \n  ### Reference Examples: \n  Example 1:\n  You are a manager responsible for coordinating and scheduling various assistants and tools to efficiently solve any complex tasks.\n  You have problem decomposition and information integration capabilities, able to break down complex problems into executable subtasks and reasonably assign them to the most suitable assistants or tools.\n  You have strong information integration capabilities, able to generate coherent solutions from outputs of different assistants or tools.\n  \n  Example 2:\n  You are an intelligent search assistant, specifically responsible for answering users' various questions.\n  You can use multiple search tools to efficiently obtain information and provide comprehensive and accurate answers.\n  You have strong information acquisition and integration capabilities, able to select the most suitable tools based on question types and generate coherent answers. The final answers are semantically coherent, with clear information and high readability.\n  \n\nCONSTRAINT_SYSTEM_PROMPT: |-\n  ### You are a [Prompt Generation Expert], used to help users create efficient and clear prompts.\n  You are currently working on prompt engineering for an Agent application. User input contains three parts: task description, tools used, and assistants used.\n  You need to mainly refer to the task description, combined with tool and assistant information, to summarize the user's usage restrictions for tools. Your output will serve as the tool usage restriction part of the application's overall prompt.\n  \n  ### Requirements:\n  1. Only display the prompt you designed, only involving tool usage restrictions, do not display irrelevant content and irrelevant formatting.\n  2. List usage restrictions starting from number 1, one by one.\n  3. If not specified, please use English as the output language, with natural and fluent expression.\n\n\nFEW_SHOTS_SYSTEM_PROMPT: |-\n  ### You are a [Prompt Generation Expert], used to help users create efficient and clear prompts.\n  You are currently working on prompt engineering for an Agent application. User input contains three parts: task description, tools used, and assistants used.\n  Now you need to mainly refer to the task description, combined with tools and assistants information, refer to example templates, and provide 3-5 specific reference examples.\n  \n  ### Requirements:\n  1. Examples must be specific content, hypothetical user questions.\n  2. If the application has available assistants and tools, both calling methods should be reflected.\n  3. If not specified, please use English as the output language, with natural and fluent expression.\n\n  ### Agent Execution Process:\n  To solve tasks, you must plan forward through a series of steps in a loop of 'Think:', 'Code:', and 'Observe Results:' sequences:\n\n  1. Think:\n     - Determine which tools/assistants need to be used to obtain information or take action\n     - Explain your decision logic and expected results\n\n  2. Code:\n     - Write code in simple Python\n     - Follow Python coding standards and Python syntax\n     - Call tools/assistants correctly according to format specifications\n     - To distinguish between code execution and displaying user code, use 'Code: \\n```<RUN>\\n' to start executing code and '```<END_CODE>' to indicate its completion. Use 'Code: \\n```<DISPLAY:language_type>\\n' to start displaying code and '```<END_DISPLAY_CODE>' to indicate its completion.\n     - Note that executed code is not visible to users. If users need to see the code, use 'Code: \\n```<DISPLAY:language_type>\\n' as the start and '```<END_DISPLAY_CODE>' to denote displayed code.\n\n  3. Observe Results:\n     - View code execution results\n  \n  After thinking, when you believe you can answer the user's question, you can generate a final answer directly to the user without generating code and stop the loop.\n  \n  ### Python Code Specifications\n  1. If it is considered to be code that needs to be executed, the code content begins with 'Code:\\n```<RUN>\\n' and ends with '```<END_CODE>'. If the code does not need to be executed for display only, the code content begins with 'Code:\\n```<DISPLAY:language_type>\\n', and ends with '```<END_DISPLAY_CODE>', where language_type can be python, java, javascript, etc.;\n  2. Only use defined variables, variables will persist between multiple calls;\n  3. Use \"print()\" function to let the next model call see corresponding variable information;\n  4. Use tool/assistant input parameters correctly, use keyword arguments, not dictionary format;\n  5. Avoid making too many tool calls in one round of conversation, as this will make the output format unpredictable;\n  6. Only call tools/assistants when needed, do not repeat calls with the same parameters;\n  7. Only import from the following modules: {{authorized_imports}};\n  8. Use variable names to save function call results. In each intermediate step, you can use \"print()\" to save any important information you need. Saved information persists between code executions;\n  9. Avoid **if**, **for** and other logic in example code, only call tools/assistants. Each action in examples should be a determined event. If there are different conditions, you should provide examples for different conditions;\n  10. Tool calls use keyword arguments, such as: tool_name(param1=\"value1\", param2=\"value2\");\n  11. Assistant calls must use \"task\" as the parameter name, such as: assistant_name(task=\"task description\").\n\n  ### Compliant Examples:\n  Task 1: \"Introduce the Oriental Pearl Tower\"\n  \n  Think: I will first use the knowledge_base_search tool to find if there is relevant information in the local knowledge base.\n  Code:\n  ```<RUN>\n  knowledge_info = knowledge_base_search(query=\"Oriental Pearl Tower introduction\", index_names=[\"local_knowledge_base1\", \"local_knowledge_base2\"])\n  print(knowledge_info)\n  ```<END_CODE>\n  Observe Results: No results found for query \"Oriental Pearl Tower introduction\". The search results are insufficient to support an answer.\n  \n  Think: Since no relevant information was found in the local knowledge base, I need to use the web_search tool to query network information.\n  Code:\n  ```<RUN>\n  web_info = web_search(query=\"Oriental Pearl Tower introduction\")\n  print(web_info)\n  ```<END_CODE>\n  Observe Results: The Oriental Pearl TV Tower is located in Lujiazui, Pudong New Area, Shanghai, China... \n  \n  Think: I have obtained the relevant information, now I will generate the final answer.\n  The Oriental Pearl TV Tower is located in Lujiazui, Pudong New Area, Shanghai, China... \n  \n  ---\n  \n  Task 2: \"Help me plan tomorrow's trip from Shanghai to Beijing\"\n  \n  Think: I need to call the travel planning assistant to plan the trip.\n  Code:\n  ```<RUN>\n  itinerary_result = travel_planning_assistant(task=\"Help me plan tomorrow's trip from Shanghai to Beijing\")\n  print(itinerary_result)\n  ```<END_CODE>\n  Observe Results: Tomorrow's trip planning from Shanghai to Beijing, including transportation, accommodation, attractions, etc.\n  \n  Think: I have obtained the travel planning, now I will generate the final answer.\n  Tomorrow's trip planning from Shanghai to Beijing, including transportation, accommodation, attractions, etc.\n  \n  ---\n  \n  Task 3: \"Analyze Beijing's weather conditions\"\n  \n  Think: I need to first get weather data, then let the analysis assistant help me analyze.\n  Code:\n  ```<RUN>\n  weather_data = weather_api(city=\"Beijing\")\n  print(weather_data)\n  ```<END_CODE>\n  Observe Results: {\"temperature\": 25, \"humidity\": \"60%\", \"condition\": \"sunny\"}\n  \n  Think: Now I have weather data, let the analysis assistant help me analyze this data.\n  Code:\n  ```<RUN>\n  analysis_result = data_analysis_assistant(task=\"Analyze today's weather data: temperature 25 degrees, humidity 60%, sunny\")\n  print(analysis_result)\n  ```<END_CODE>\n  Observe Results: Today's weather is suitable, temperature is moderate, humidity is normal, suitable for outdoor activities.\n  \n  Think: I have obtained weather data and analysis results, now I will generate the final answer.\n  Based on weather data analysis, today's weather is suitable, temperature is moderate, humidity is normal, suitable for outdoor activities.\n  \n  ---\n  \n  Task 4: \"Explain what artificial intelligence is\"\n  \n  Think: I can answer this question directly without calling any tools or assistants.\n  Artificial Intelligence (AI) is a branch of computer science dedicated to creating systems that can perform tasks that typically require human intelligence...\n\n  ---\n\n  Task 5: \"Write a Python quick sort code\"\n\n  Think: I need to write a Python code directly, this code is only for display, so I start with 'Code:\\n```<DISPLAY:python>\\n'.\n\n  Code:\n  ```<DISPLAY:python>\n  def quick_sort(arr):\n    if len(arr) <= 1:\n      return arr\n\n    pivot = arr[len(arr) // 2]\n    left = [x for x in arr if x < pivot]\n    middle = [x for x in arr if x == pivot]\n    right = [x for x in arr if x > pivot]\n    return quick_sort(left) + middle + quick_sort(right)\n  ```<END_DISPLAY_CODE>\n  Observe Results: The Python quick sort code.\n\n  Think: I have obtained the Python quick sort code, now I will generate the final answer.\n  The Python quick sort code is as follows:\n  ```<DISPLAY:python>\n  def quick_sort(arr):\n    if len(arr) <= 1:\n      return arr\n    pivot = arr[len(arr) // 2]\n    left = [x for x in arr if x < pivot]\n    middle = [x for x in arr if x == pivot]\n    right = [x for x in arr if x > pivot]\n    return quick_sort(left) + middle + quick_sort(right)\n  ```<END_DISPLAY_CODE>\n\n  ---\n\n  ### Requirements:\n  1. Only display the prompt you designed, only involving usage examples, do not display irrelevant content or irrelevant formatting.\n  2. Strictly follow the example template format to provide examples.\n  3. Strictly follow Agent execution process and Python code specifications. The use case prompts you design will significantly affect the quality of business processes.\n\n\nAGENT_DISPLAY_NAME_SYSTEM_PROMPT: |-\n  ### You are an [Agent Display Name Generation Expert], used to help users generate agent display names.\n  You are currently building an Agent application. User input contains three parts: task description, tools used, and assistants used.\n  You can refer to the task description, combined with tool and assistant information, to give the current Agent application an agent display name.\n  \n  ### Requirements:\n  1. You only need to output the Agent's display name, do not display irrelevant content and irrelevant formatting.\n  2. If not specified, please use English as the output language, represented by one word, ending with \"Assistant\", which can clearly indicate the Agent's responsibilities.\n  3. The display name should not be too long, keeping it within 30 characters.\n  \n  ### Reference Examples:\n  Example 1:\n  TravelPlanningAssistant\n\n  Example 2:\n  WebSearchAssistant\n\n\nAGENT_VARIABLE_NAME_SYSTEM_PROMPT: |-\n  ### You are an [Agent Variable Name Generation Expert], used to help users generate agent variable names.\n  You are currently building an Agent application. User input contains three parts: task description, tools used, and assistants used.\n  You can refer to the task description, combined with tool and assistant information, to give the current Agent application an agent variable name.\n  \n  ### Requirements:\n  1. You only need to output the Agent's variable name, do not display irrelevant content and irrelevant formatting.\n  2. The agent variable name can only contain letters, numbers and underscores, and must start with a letter or underscore, ending with _assistant, complying with Python coding standards.\n  3. The variable name should not be too long, keeping it within 30 characters.\n  \n  ### Reference Examples:\n  Example 1:\n  travel_planning_assistant\n  \n  Example 2:\n  web_search_assistant\n\n\nAGENT_DESCRIPTION_SYSTEM_PROMPT: |-\n  ### You are an [Agent Description Generation Expert], used to help users generate agent descriptions.\n  You are currently building an Agent application. User input contains three parts: task description, tools used, and assistants used.\n  You can refer to the task description, combined with tool and assistant information, to generate a task description for the current Agent application.\n  ### Requirements:\n  1. Only display the Agent description content, do not display irrelevant content or irrelevant formatting.\n  2. The Agent description should not exceed three sentences, and use second person description, mainly including: who you are, what capabilities you have, what you can do.\n  3. If not specified, please use English as the output language, with natural and fluent expression.\n  \n  ### Reference Examples:\n  Example 1:\n  You are a travel planning assistant that can plan travel routes based on user questions and provide travel advice.\n\n  Example 2:\n  You are a web search assistant that can search for corresponding information based on user questions and provide search results.\n\n\nUSER_PROMPT: |-\n  ### Task Description:\n  {{task_description}}\n\n  ### Available Tools List:\n  {% if tool_description %}\n  {{tool_description}}\n  {% else %}\n  You have no available tools.\n  {% endif %}\n  \n  ### Available Assistants List:\n  {% if assistant_description %}\n  {{assistant_description}}\n  {% else %}\n  You have no available assistants\n  {% endif %}\n\n\nAGENT_NAME_REGENERATE_SYSTEM_PROMPT: |-\n  ### You are an [Agent Variable Name Refinement Expert]\n  Your job is to generate a Python-friendly variable name that keeps the same intent while avoiding duplicates.\n\n  #### Constraints\n  1. The name may contain only letters, numbers, and underscores, must start with a letter or underscore, ending with \"_assistant\", and stay within 30 characters.\n  2. Keep the new name semantically close to the original one while ensuring it does not duplicate existing names.\n  3. Return the variable name only—no explanations or extra symbols.\n\n\nAGENT_NAME_REGENERATE_USER_PROMPT: |-\n  ### Task Description\n  {{ task_description }}\n\n  ### Original Variable Name\n  {{ original_value }}\n\n  ### Existing Variable Names\n  {{ existing_values }}\n\n  Generate a new variable name that satisfies the constraints, keeps the original meaning, and does not duplicate any existing names. Output only the variable name.\n\n\nAGENT_DISPLAY_NAME_REGENERATE_SYSTEM_PROMPT: |-\n  ### You are an [Agent Display Name Refinement Expert]\n  You summarize the agent's capability and generate a readable display name that remains unique within the workspace.\n\n  #### Constraints\n  1. The name must be concise, easy to read, summarize the agent's responsibility, ending with \"Assistant\", and stay within 30 characters.\n  2. Avoid mentioning specific tool names or adding extra punctuation.\n  3. Return only the display name.\n\n\nAGENT_DISPLAY_NAME_REGENERATE_USER_PROMPT: |-\n  ### Task Description\n  {{ task_description }}\n\n  ### Original Display Name\n  {{ original_value }}\n\n  ### Existing Display Names\n  {{ existing_values }}\n\n  Output a new display name that is semantically aligned with the original while remaining unique and honoring the constraints. Return only the display name."
  },
  {
    "path": "backend/prompts/utils/prompt_generate_zh.yaml",
    "content": "DUTY_SYSTEM_PROMPT: |-\n  ### 你是【提示词生成专家】，用于帮助用户创建高效、清晰的提示词。\n  现在正在做一个Agent应用的提示词工程，用户的输入包含三个部分：任务描述、使用工具、使用到的助手。\n  需要你主要参考任务描述，结合工具和助手信息，总结出当前Agent的职责。你的输出将作为该应用整体提示词的职责描述部分。\n\n  ### 要求：\n  1.只展示你设计的提示词，仅涉及职责描述这部分内容，不要显示无关内容与无关的格式。\n  2.职责描述不要超过三句话，主要内容包括：你是谁，你有什么能力，你能做什么。\n  3.职责描述部分要求能够概括业务整体的逻辑。不要过于细节，不要展示具体工具名。\n  4.若未指定语言，请使用中文输出，语言表达要自然流畅。\n  \n  ### 参考示例：\n  示例1：\n  你是一个任务协调助手，负责协调和调度各种助手和工具来高效解决任何复杂任务。\n  你具备问题拆解与信息整合能力，能够将复杂问题分解为可执行的子任务，并合理分配给最合适的助手或工具。\n  你具备强大的信息整合能力，能够将不同助手或工具的输出生成连贯的解决方案。\n  \n  示例2：\n  你是一个智能搜索助手，专门负责回答用户的各种问题。\n  你能够使用多种搜索工具，高效地获取信息，并提供全面、准确的回答。\n  你具备强大的信息获取和整合能力，能够根据问题类型选择最合适的工具，并生成连贯的答案，最后的答案语义连贯，信息清晰，可读性高。\n  \n\nCONSTRAINT_SYSTEM_PROMPT: |-\n  ### 你是【提示词生成专家】，用于帮助用户创建高效、清晰的提示词。\n  现在正在做一个Agent应用的提示词工程，用户的输入包含三个部分：任务描述、使用工具、使用到的助手。\n  需要你主要参考任务描述，结合工具和助手信息，总结出用户对工具的使用限制。你的输出将作为该应用整体提示词的工具使用限制部分。\n  \n  ### 要求：\n  1.只展示你设计的提示词，仅涉及工具的使用限制这部分内容，不要显示无关内容与无关的格式。\n  2.从序号1开始一条一条的列出使用限制。\n  3.若未指定语言，请使用中文输出，语言表达要自然流畅。\n\n\nFEW_SHOTS_SYSTEM_PROMPT: |-\n  ### 你是【提示词生成专家】，用于帮助用户创建高效、清晰的提示词。\n  现在正在做一个Agent应用的提示词工程，用户的输入包含三个部分：任务描述、使用工具、使用到的助手。\n  现在需要你主要参考任务描述，结合工具和助手信息，参考示例模板，给出3~5个具体的参考示例。\n  #### 要求：\n  1.示例必须是一个具体的内容，是用户的假设提问。\n  2.如果该应用有可以使用的助手和工具，则两种调用方式都要体现。\n  3.若未指定语言，请使用中文输出，语言表达要自然流畅。\n\n  ### Agent的执行流程：\n  要解决任务，Agent必须通过一系列步骤向前规划，以'思考：'、'代码：'和'观察结果：'序列的循环进行：\n\n  1. 思考：\n     - 确定需要使用哪些工具/助手获取信息或行动\n     - 解释决策逻辑和预期结果\n\n  2. 代码：\n     - 用简单的Python编写代码\n     - 遵循python代码规范和python语法\n     - 根据格式规范正确调用工具/助手\n     - 考虑到代码执行与展示用户代码的区别，使用'代码：\\n```<RUN>\\n'开头，并以'```<END_CODE>'表达运行代码，使用'代码：\\n```<DISPLAY:语言类型>\\n'开头，并以'```<END_DISPLAY_CODE>'表达展示代码\n     - 注意运行的代码不会被用户看到，所以如果用户需要看到代码，你需要使用'代码：\\n```<DISPLAY:语言类型>\\n'开头，并以'```<END_DISPLAY_CODE>'表达展示代码。\n\n  3. 观察结果：\n     - 查看代码执行结果\n  \n  在思考结束后，当Agent认为可以回答用户问题，那么可以不生成代码，直接生成最终回答给到用户并停止循环。\n\n  ### python代码规范\n  1. 如果认为是需要执行的代码，代码内容以'代码：\\n```<RUN>\\n'开头，并以'```<END_CODE>'标识符结尾。如果是不需要执行仅用于展示的代码，代码内容以'代码：\\n```<DISPLAY:语言类型>\\n'开头，并以'```<END_DISPLAY_CODE>'标识符结尾，其中语言类型例如python、java、javascript等；\n  2. 只使用已定义的变量，变量将在多次调用之间持续保持；\n  3. 使用“print()”函数让下一次的模型调用看到对应变量信息；\n  4. 正确使用工具/助手的入参，使用关键字参数，不要用字典形式；\n  5. 避免在一轮对话中进行过多的工具调用，这会导致输出格式难以预测；\n  6. 只在需要时调用工具/助手，不重复相同参数的调用；\n  7. 只能从以下模块导入：{{authorized_imports}}；\n  8. 使用变量名保存函数调用结果，在每个中间步骤中，您可以使用“print()”来保存您需要的任何重要信息。被保存的信息在代码执行之间保持；\n  9. 示例中的代码避免出现**if**、**for**等逻辑，仅调用工具/助手，示例中的每一次的行动都是确定事件。如果有不同的条件，你应该给出不同条件下的示例；\n  10. 工具调用使用关键字参数，如：tool_name(param1=\"value1\", param2=\"value2\")；\n  11. 助手调用必须使用\"task\"作为参数名，如：assistant_name(task=\"任务描述\")。\n\n  ### 符合规范的示例：\n  任务1：\"介绍一下东方明珠\"\n  \n  思考：我先使用knowledge_base_search工具查找本地知识库是否有相关信息。\n  代码：\n  ```<RUN>\n  knowledge_info = knowledge_base_search(query=\"东方明珠 介绍\", index_names=[\"本地知识库1\"， \"本地知识库2\"])\n  print(knowledge_info)\n  ```<END_CODE>\n  观察结果：未找到查询\"东方明珠 介绍\"的结果。检索结果难以支撑回答。\n  \n  思考：从本地知识库中没有找到相关信息，我需要使用web_search工具查询网络信息。\n  代码：\n  ```<RUN>\n  web_info = web_search(query=\"东方明珠 介绍\")\n  print(web_info)\n  ```<END_CODE>\n  观察结果：东方明珠广播电视塔位于中国上海市浦东新区陆家嘴... \n  \n  思考：我已经获得了有关信息，现在我将生成最终回答。\n  东方明珠广播电视塔位于中国上海市浦东新区陆家嘴... \n  \n  ---\n  \n  任务2：\"帮我规划明天从上海出发去北京的行程\"\n  \n  思考：我需要调用旅程规划助手来规划出行。\n  代码：\n  ```<RUN>\n  itinerary_result = travel_planning_assistant(task=\"帮我规划明天从上海出发去北京的行程\")\n  print(itinerary_result)\n  ```<END_CODE>\n  观察结果：明天从上海出发去北京的行程规划，包括交通、住宿、景点等。\n  \n  思考：我已经获得了出行规划，现在我将生成最终回答。\n  明天从上海出发去北京的行程规划，包括交通、住宿、景点等。\n  \n  ---\n\n  任务3：\"分析一下北京的天气情况\"\n  \n  思考：我需要先获取天气数据，然后让分析助手帮我分析。\n  代码：\n  ```<RUN>\n  weather_data = weather_api(city=\"北京\")\n  print(weather_data)\n  ```<END_CODE>\n  观察结果：{\"temperature\": 25, \"humidity\": 60%, \"condition\": \"晴天\"}\n  \n  思考：现在我有天气数据了，让分析助手帮我分析这些数据。\n  代码：\n  ```<RUN>\n  analysis_result = data_analysis_assistant(task=\"分析今天的天气数据：温度25度，湿度60%，晴天\")\n  print(analysis_result)\n  ```<END_CODE>\n  观察结果：今天天气适宜，温度适中，湿度正常，适合户外活动。\n  \n  思考：我已经获得了天气数据和分析结果，现在我将生成最终回答。\n  根据天气数据分析，今天天气适宜，温度适中，湿度正常，适合户外活动。\n  \n  ---\n  \n  任务4：\"解释什么是人工智能\"\n  \n  思考：这个问题我可以直接回答，不需要调用任何工具或助手。\n  人工智能（AI）是计算机科学的一个分支，致力于创建能够执行通常需要人类智能的任务的系统...\n\n  ---\n  \n  任务5：\"帮我用Python写一个快速排序的代码\"\n\n  思考：我需要直接写一个python代码，此代码仅用于展示，因此我以'代码：\\n```<DISPLAY:python>\\n'开头。\n  代码：\n  ```<DISPLAY:python>\n  def quick_sort(arr):\n    if len(arr) <= 1:\n      return arr\n    pivot = arr[len(arr) // 2]\n    left = [x for x in arr if x < pivot]\n    middle = [x for x in arr if x == pivot]\n    right = [x for x in arr if x > pivot]\n    return quick_sort(left) + middle + quick_sort(right)\n  ```<END_DISPLAY_CODE>\n  观察结果：快速排序的python代码。\n  \n  思考：我已经获得了快速排序的python代码，现在我将生成最终回答。\n  快速排序的python代码如下：\n  代码：\n  ```<DISPLAY:python>\n  def quick_sort(arr):\n    if len(arr) <= 1:\n      return arr\n    pivot = arr[len(arr) // 2]\n    left = [x for x in arr if x < pivot]\n    middle = [x for x in arr if x == pivot]\n    right = [x for x in arr if x > pivot]\n    return quick_sort(left) + middle + quick_sort(right)\n  ```<END_DISPLAY_CODE>\n\n  ---\n\n  ### 要求：\n  1. 只展示你设计的提示词，仅涉及使用示例，不要显示无关内容或无关的格式。\n  2. 严格按照示例模板的格式给出例子。\n  3. 严格遵顼Agent执行流程与python代码规范。你设计出来的用例提示词将会显著影响业务流程的好坏。\n\nAGENT_DISPLAY_NAME_SYSTEM_PROMPT: |-\n  ### 你是【Agent应用展示名称生成专家】，用于帮助用户生成应用展示名称。\n  现在正在构建一个Agent应用，用户的输入包含三个部分：任务描述、使用工具、使用到的助手。\n  你可以参考任务描述，结合工具和助手信息，给当前Agent应用起一个展示名称。\n  \n  ### 要求：\n  1.你只需要输出应用的名称，不要显示无关内容与无关的格式。\n  2.若未指定语言，请使用中文输出，用一个词语表示即可，以“助手”结尾，能明确表示出该应用的职责。\n  3.展示名称不能太长，保持在30个字符以内。\n  \n  ### 参考示例：\n  示例1：\n  旅行规划助手\n\n  示例2：\n  网络搜索助手\n\n\nAGENT_VARIABLE_NAME_SYSTEM_PROMPT: |-\n  ### 你是【Agent应用变量名生成专家】，用于帮助用户生成应用变量名。\n  现在正在构建一个Agent应用，用户的输入包含三个部分：任务描述、使用工具、使用到的助手。\n  你可以参考任务描述，结合工具和助手信息，给当前应用起一个变量名。\n  \n  ### 要求：\n  1.你只需要输出应用的变量名，不要显示无关内容与无关的格式。\n  2.应用变量名只能包含字母、数字和下划线，且必须以字母或下划线开头，以\"_assistant\"结尾，符合python编码规范。\n  3.变量名不能太长，保持在30个字符以内。\n  \n  ### 参考示例：\n  示例1：\n  travel_planning_assistant\n  \n  示例2：\n  web_search_assistant\n\n\nAGENT_DESCRIPTION_SYSTEM_PROMPT: |-\n  ### 你是【Agent应用描述生成专家】，用于帮助用户生成应用描述。\n  现在正在构建一个Agent应用，用户的输入包含三个部分：任务描述、使用工具、使用到的助手。\n  你可以参考任务描述，结合工具和助手信息，给当前应用生成任务描述。\n  ### 要求：\n  1.只展示应用描述这部分的内容，不要显示无关内容与无关的格式。\n  2.应用描述不要超过三句话，并用第二人称描述，主要内容包括：你是什么助手，你有什么能力，你能做什么。\n  3.若未指定语言，请使用中文输出，语言表达要自然流畅。\n  \n  ### 参考示例：\n  示例1：\n  你是一个旅行规划助手，可以根据用户问题规划出旅行路线，并给出旅行建议。\n\n  示例2：\n  你是一个网络搜索助手，可以根据用户问题搜索出对应的信息，并给出搜索结果。\n\n\nUSER_PROMPT: |-\n  ### 任务描述：\n  {{task_description}}\n\n  ### 可用工具列表：\n  {% if tool_description %}\n  {{tool_description}}\n  {% else %}\n  你没有可用的工具\n  {% endif %}\n\n  ### 可用助手列表：\n  {% if assistant_description %}\n  {{assistant_description}}\n  {% else %}\n  你没有可用的助手\n  {% endif %}\n\n \nAGENT_NAME_REGENERATE_SYSTEM_PROMPT: |-\n  ### 你是【Agent变量名调整专家】\n  你的工作是根据任务描述以及已有变量名，生成一个语义一致但不重复的 Python 变量名。\n\n  #### 约束\n  1. 变量名只能包含字母、数字和下划线，并且以字母或下划线开头，以“_assistant”结尾，长度不超过 30 个字符。\n  2. 避免与已有变量名重复，同时保持与原始名称相近的语义。\n  3. 仅输出变量名本身，不要附加额外解释或标点。\n\n\nAGENT_NAME_REGENERATE_USER_PROMPT: |-\n  ### 任务描述\n  {{ task_description }}\n\n  ### 原始变量名\n  {{ original_value }}\n\n  ### 已有变量名\n  {{ existing_values }}\n\n  请在满足约束的前提下，生成一个新的变量名，使其语义接近原始变量名但不与已有变量名重复。只输出变量名本身。\n\n\nAGENT_DISPLAY_NAME_REGENERATE_SYSTEM_PROMPT: |-\n  ### 你是【Agent展示名称调整专家】\n  你的任务是结合业务背景和已有展示名称，生成一个语义一致但不重复的 Agent 展示名称。\n\n  #### 约束\n  1. 展示名称需自然、易读，能够概括 Agent 的核心能力，以“助手”结尾，长度不超过 30 个字符。\n  2. 不得包含具体工具名称或多余符号。\n  3. 仅输出展示名称本身。\n\n\nAGENT_DISPLAY_NAME_REGENERATE_USER_PROMPT: |-\n  ### 任务描述\n  {{ task_description }}\n\n  ### 原始展示名称\n  {{ original_value }}\n\n  ### 已有展示名称\n  {{ existing_values }}\n\n  请输出一个新的展示名称，语义接近原始名称但不与已存在的展示名称重复，并满足上述约束。只输出展示名称本身。\n"
  },
  {
    "path": "backend/pyproject.toml",
    "content": "[project]\nname = \"backend\"\nversion = \"0.1.0\"\nrequires-python = \"==3.10.*\"\ndependencies = [\n    \"uvicorn>=0.34.0\",\n    \"fastapi>=0.115.12\",\n    \"aiohttp>=3.8.0\",\n    \"psycopg2-binary==2.9.10\",\n    \"PyJWT>=2.8.0\",\n    \"sqlalchemy~=2.0.37\",\n    \"supabase>=2.18.1\",\n    \"websocket-client>=1.8.0\",\n    \"pyyaml>=6.0.2\",\n    \"redis>=5.0.0\",\n    \"fastmcp==2.12.0\",\n    \"langchain>=0.3.26\",\n    \"scikit-learn>=1.0.0\",\n    \"numpy>=1.24.0\"\n]\n\n[project.optional-dependencies]\ndata-process = [\n    \"ray[default]>=2.9.3\",\n    \"celery>=5.3.6\",\n    \"flower>=2.0.1\",\n    \"nest_asyncio>=1.5.6\",\n    \"unstructured[csv,docx,pdf,pptx,xlsx,md]==0.18.14\",\n    \"huggingface_hub>=0.19.0,<0.21.0\"\n]\ntest = [\n    \"pytest\",\n    \"pytest-cov\",\n    \"coverage\",\n    \"unittest2\",\n    \"mock\",\n    \"pytest-asyncio\",\n    \"pytest-mock\",\n    \"fastapi[testclient]\",\n    \"selenium\",\n    \"botocore\"\n]\n\n[tool.setuptools]\npackages = []\n"
  },
  {
    "path": "backend/runtime_service.py",
    "content": "import uvicorn\nimport logging\nimport warnings\n\nfrom consts.const import APP_VERSION\n\nwarnings.filterwarnings(\"ignore\", category=UserWarning)\n\nfrom dotenv import load_dotenv\nload_dotenv()\n\nfrom apps.runtime_app import app\nfrom utils.logging_utils import configure_logging, configure_elasticsearch_logging\n\n\nconfigure_logging(logging.INFO)\nconfigure_elasticsearch_logging()\nlogger = logging.getLogger(\"runtime_service\")\n\n\nif __name__ == \"__main__\":\n    logger.info(\"Starting server initialization...\")\n    logger.info(f\"APP version is: {APP_VERSION}\")\n    uvicorn.run(app, host=\"0.0.0.0\", port=5014, log_level=\"info\")\n\n\n"
  },
  {
    "path": "backend/services/__init__.py",
    "content": ""
  },
  {
    "path": "backend/services/agent_service.py",
    "content": "import asyncio\nimport json\nimport logging\nimport os\nimport uuid\nfrom collections import deque\nfrom typing import Callable, Optional, Dict\n\nfrom fastapi import Header, Request\nfrom fastapi.responses import JSONResponse, StreamingResponse\nfrom nexent.core.agents.run_agent import agent_run\nfrom nexent.memory.memory_service import clear_memory, add_memory_in_levels\nfrom jinja2 import Template\n\nfrom agents.agent_run_manager import agent_run_manager\nfrom agents.create_agent_info import create_agent_run_info, create_tool_config_list\nfrom agents.preprocess_manager import preprocess_manager\nfrom services.agent_version_service import publish_version_impl\nfrom consts.const import MEMORY_SEARCH_START_MSG, MEMORY_SEARCH_DONE_MSG, MEMORY_SEARCH_FAIL_MSG, TOOL_TYPE_MAPPING, \\\n    LANGUAGE, MESSAGE_ROLE, MODEL_CONFIG_MAPPING, CAN_EDIT_ALL_USER_ROLES, PERMISSION_EDIT, PERMISSION_READ, PERMISSION_PRIVATE\nfrom consts.exceptions import MemoryPreparationException\nfrom consts.model import (\n    AgentInfoRequest,\n    AgentRequest,\n    AgentNameBatchCheckRequest,\n    AgentNameBatchRegenerateRequest,\n    ExportAndImportAgentInfo,\n    ExportAndImportDataFormat,\n    MCPInfo,\n    ToolInstanceInfoRequest,\n    ToolSourceEnum, ModelConnectStatusEnum\n)\nfrom database.agent_db import (\n    create_agent,\n    delete_agent_by_id,\n    delete_agent_relationship,\n    delete_related_agent,\n    insert_related_agent,\n    query_all_agent_info_by_tenant_id,\n    query_sub_agents_id_list,\n    search_agent_id_by_agent_name,\n    search_agent_info_by_agent_id,\n    search_blank_sub_agent_by_main_agent_id,\n    update_agent,\n    update_related_agents,\n    clear_agent_new_mark\n)\nfrom database.model_management_db import get_model_by_model_id, get_model_id_by_display_name\nfrom database.remote_mcp_db import get_mcp_server_by_name_and_tenant\nfrom database.tool_db import (\n    check_tool_is_available,\n    create_or_update_tool_by_tool_info,\n    delete_tools_by_agent_id,\n    query_all_enabled_tool_instances,\n    query_all_tools,\n    query_tool_instances_by_id,\n    query_tool_instances_by_agent_id,\n    search_tools_for_sub_agent\n)\nfrom database.group_db import query_group_ids_by_user\nfrom database.user_tenant_db import get_user_tenant_by_user_id\nfrom utils.str_utils import convert_list_to_string, convert_string_to_list\nfrom services.conversation_management_service import save_conversation_assistant, save_conversation_user\nfrom services.memory_config_service import build_memory_context\nfrom utils.auth_utils import get_current_user_info, get_user_language\nfrom utils.config_utils import tenant_config_manager\nfrom utils.memory_utils import build_memory_config\nfrom utils.thread_utils import submit\nfrom utils.prompt_template_utils import get_prompt_generate_prompt_template\nfrom utils.llm_utils import call_llm_for_system_prompt\n\n# Import monitoring utilities\nfrom utils.monitoring import monitoring_manager\n\nlogger = logging.getLogger(__name__)\n\n\n# -------------------------------------------------------------\n# Internal helper functions\n# -------------------------------------------------------------\n\n\ndef _resolve_user_tenant_language(\n    authorization: str,\n    http_request: Request | None = None,\n    user_id: str | None = None,\n    tenant_id: str | None = None,\n):\n    \"\"\"Resolve user_id, tenant_id, language with optional overrides.\n\n    If user_id and tenant_id are provided, do not parse from authorization again.\n    \"\"\"\n    if user_id is None or tenant_id is None:\n        return get_current_user_info(authorization, http_request)\n    else:\n        return user_id, tenant_id, get_user_language(http_request)\n\n\ndef _get_user_group_ids(user_id: str, tenant_id: str) -> str:\n    \"\"\"\n    Get user's group IDs as a comma-separated string.\n\n    Args:\n        user_id: User ID\n        tenant_id: Tenant ID\n\n    Returns:\n        Comma-separated string of group IDs\n    \"\"\"\n    try:\n        group_ids = query_group_ids_by_user(user_id)\n        return convert_list_to_string(group_ids)\n    except Exception as e:\n        logger.warning(\n            f\"Failed to get user groups for user {user_id}: {str(e)}\")\n        return \"\"\n\n\ndef _resolve_model_with_fallback(\n    model_display_name: str | None,\n    exported_model_id: str | None,\n    model_label: str,\n    tenant_id: str\n) -> str | None:\n    \"\"\"\n    Resolve model_id from model_display_name with fallback to quick config LLM model.\n\n    Args:\n        model_display_name: Display name of the model to lookup\n        exported_model_id: Original model_id from export (for logging only)\n        model_label: Label for logging (e.g., \"Model\", \"Business logic model\")\n        tenant_id: Tenant ID for model lookup\n\n    Returns:\n        Resolved model_id or None if not found and no fallback available\n    \"\"\"\n    if not model_display_name:\n        return None\n\n    # Try to find model by display name in current tenant\n    resolved_id = get_model_id_by_display_name(model_display_name, tenant_id)\n\n    if resolved_id:\n        logger.info(\n            f\"{model_label} '{model_display_name}' found in tenant {tenant_id}, \"\n            f\"mapped to model_id: {resolved_id} (exported model_id was: {exported_model_id})\")\n        return resolved_id\n\n    # Model not found, try fallback to quick config LLM model\n    logger.warning(\n        f\"{model_label} '{model_display_name}' (exported model_id: {exported_model_id}) \"\n        f\"not found in tenant {tenant_id}, falling back to quick config LLM model.\")\n\n    quick_config_model = tenant_config_manager.get_model_config(\n        key=MODEL_CONFIG_MAPPING[\"llm\"],\n        tenant_id=tenant_id\n    )\n\n    if quick_config_model:\n        fallback_id = quick_config_model.get(\"model_id\")\n        logger.info(\n            f\"Using quick config LLM model for {model_label.lower()}: \"\n            f\"{quick_config_model.get('display_name')} (model_id: {fallback_id})\")\n        return fallback_id\n\n    logger.warning(f\"No quick config LLM model found for tenant {tenant_id}\")\n    return None\n\n\ndef _normalize_language_key(language: str) -> str:\n    normalized = (language or \"\").lower()\n    if normalized.startswith(LANGUAGE[\"ZH\"]):\n        return LANGUAGE[\"ZH\"]\n    return LANGUAGE[\"EN\"]\n\n\ndef _render_prompt_template(template_str: str, **context) -> str:\n    if not template_str:\n        return \"\"\n    try:\n        return Template(template_str).render(**context).strip()\n    except Exception as exc:\n        logger.warning(f\"Failed to render prompt template: {exc}\")\n        return template_str\n\n\ndef _format_existing_values(values: set[str], language: str) -> str:\n    if not values:\n        return \"无\" if _normalize_language_key(language) == LANGUAGE[\"ZH\"] else \"None\"\n    return \", \".join(sorted(values))\n\n\ndef _check_agent_value_duplicate(\n    field_key: str,\n    value: str,\n    tenant_id: str,\n    exclude_agent_id: int | None = None,\n    agents_cache: list[dict] | None = None\n) -> bool:\n    if not value:\n        return False\n    if agents_cache is None:\n        agents_cache = query_all_agent_info_by_tenant_id(tenant_id)\n    for agent in agents_cache:\n        if exclude_agent_id and agent.get(\"agent_id\") == exclude_agent_id:\n            continue\n        if agent.get(field_key) == value:\n            return True\n    return False\n\n\ndef _check_agent_name_duplicate(\n    name: str,\n    tenant_id: str,\n    exclude_agent_id: int | None = None,\n    agents_cache: list[dict] | None = None\n) -> bool:\n    return _check_agent_value_duplicate(\n        \"name\",\n        name,\n        tenant_id=tenant_id,\n        exclude_agent_id=exclude_agent_id,\n        agents_cache=agents_cache\n    )\n\n\ndef _check_agent_display_name_duplicate(\n    display_name: str,\n    tenant_id: str,\n    exclude_agent_id: int | None = None,\n    agents_cache: list[dict] | None = None\n) -> bool:\n    return _check_agent_value_duplicate(\n        \"display_name\",\n        display_name,\n        tenant_id=tenant_id,\n        exclude_agent_id=exclude_agent_id,\n        agents_cache=agents_cache\n    )\n\n\ndef _generate_unique_value_with_suffix(\n    base_value: str,\n    *,\n    tenant_id: str,\n    duplicate_check_fn: Callable[..., bool],\n    agents_cache: list[dict] | None = None,\n    exclude_agent_id: int | None = None,\n    max_suffix_attempts: int = 100\n) -> str:\n    counter = 1\n    while counter <= max_suffix_attempts:\n        candidate = f\"{base_value}_{counter}\"\n        if not duplicate_check_fn(\n            candidate,\n            tenant_id=tenant_id,\n            exclude_agent_id=exclude_agent_id,\n            agents_cache=agents_cache\n        ):\n            return candidate\n        counter += 1\n    raise ValueError(\"Failed to generate unique value after max attempts\")\n\n\ndef _generate_unique_agent_name_with_suffix(\n    base_value: str,\n    tenant_id: str,\n    agents_cache: list[dict] | None = None,\n    exclude_agent_id: int | None = None\n) -> str:\n    return _generate_unique_value_with_suffix(\n        base_value,\n        tenant_id=tenant_id,\n        duplicate_check_fn=_check_agent_name_duplicate,\n        agents_cache=agents_cache,\n        exclude_agent_id=exclude_agent_id\n    )\n\n\ndef _generate_unique_display_name_with_suffix(\n    base_value: str,\n    tenant_id: str,\n    agents_cache: list[dict] | None = None,\n    exclude_agent_id: int | None = None\n) -> str:\n    return _generate_unique_value_with_suffix(\n        base_value,\n        tenant_id=tenant_id,\n        duplicate_check_fn=_check_agent_display_name_duplicate,\n        agents_cache=agents_cache,\n        exclude_agent_id=exclude_agent_id\n    )\n\n\ndef _regenerate_agent_value_with_llm(\n    *,\n    original_value: str,\n    existing_values: list[str],\n    task_description: str,\n    model_id: int,\n    tenant_id: str,\n    language: str,\n    system_prompt_key: str,\n    user_prompt_key: str,\n    default_system_prompt: str,\n    default_user_prompt_builder: Callable[[dict], str],\n    fallback_fn: Callable[[str], str]\n) -> str:\n    \"\"\"\n    Shared helper to regenerate agent-related values with an LLM.\n    \"\"\"\n    prompt_template = get_prompt_generate_prompt_template(language)\n    system_prompt = _render_prompt_template(\n        prompt_template.get(system_prompt_key, \"\"),\n        original_value=original_value\n    )\n    user_prompt_template = prompt_template.get(user_prompt_key, \"\")\n\n    value_set = {value for value in existing_values if value}\n    context = {\n        \"task_description\": task_description or \"\",\n        \"original_value\": original_value,\n        \"existing_values\": _format_existing_values(value_set, language)\n    }\n    user_prompt = _render_prompt_template(user_prompt_template, **context)\n\n    if not system_prompt:\n        system_prompt = default_system_prompt\n    if not user_prompt:\n        user_prompt = default_user_prompt_builder(context)\n\n    max_attempts = 5\n    last_error: Exception | None = None\n\n    for attempt in range(1, max_attempts + 1):\n        try:\n            regenerated_value = call_llm_for_system_prompt(\n                model_id=model_id,\n                user_prompt=user_prompt,\n                system_prompt=system_prompt,\n                callback=None,\n                tenant_id=tenant_id\n            )\n            candidate = (regenerated_value or \"\").strip().splitlines()[0].strip()\n            if candidate in value_set:\n                raise ValueError(f\"Generated duplicate value '{candidate}'\")\n            return candidate\n        except Exception as exc:\n            last_error = exc\n            logger.warning(\n                f\"Attempt {attempt}/{max_attempts} to regenerate value failed: {exc}\"\n            )\n\n    logger.error(\n        \"Failed to regenerate agent value with LLM after maximum retries\",\n        exc_info=last_error\n    )\n    return fallback_fn(original_value)\n\n\ndef _regenerate_agent_name_with_llm(\n    original_name: str,\n    existing_names: list[str],\n    task_description: str,\n    model_id: int,\n    tenant_id: str,\n    language: str = LANGUAGE[\"ZH\"],\n    agents_cache: list[dict] | None = None,\n    exclude_agent_id: int | None = None\n) -> str:\n    return _regenerate_agent_value_with_llm(\n        original_value=original_name,\n        existing_values=existing_names,\n        task_description=task_description,\n        model_id=model_id,\n        tenant_id=tenant_id,\n        language=language,\n        system_prompt_key=\"AGENT_NAME_REGENERATE_SYSTEM_PROMPT\",\n        user_prompt_key=\"AGENT_NAME_REGENERATE_USER_PROMPT\",\n        default_system_prompt=(\n            \"You refine agent variable names so that they stay close to the \"\n            \"original meaning and remain unique within the tenant.\"\n        ),\n        default_user_prompt_builder=lambda ctx: (\n            f\"### Task Description:\\n{ctx['task_description']}\\n\\n\"\n            f\"### Original Name:\\n{ctx['original_value']}\\n\\n\"\n            f\"### Existing Names:\\n{ctx['existing_values']}\\n\\n\"\n            \"Generate a concise Python variable name that keeps the same \"\n            \"meaning and does not duplicate the existing names. Return only \"\n            \"the variable name.\"\n        ),\n        fallback_fn=lambda base_value: _generate_unique_agent_name_with_suffix(\n            base_value,\n            tenant_id=tenant_id,\n            agents_cache=agents_cache,\n            exclude_agent_id=exclude_agent_id\n        )\n    )\n\n\n\ndef _regenerate_agent_display_name_with_llm(\n    original_display_name: str,\n    existing_display_names: list[str],\n    task_description: str,\n    model_id: int,\n    tenant_id: str,\n    language: str = LANGUAGE[\"ZH\"],\n    agents_cache: list[dict] | None = None,\n    exclude_agent_id: int | None = None\n) -> str:\n    return _regenerate_agent_value_with_llm(\n        original_value=original_display_name,\n        existing_values=existing_display_names,\n        task_description=task_description,\n        model_id=model_id,\n        tenant_id=tenant_id,\n        language=language,\n        system_prompt_key=\"AGENT_DISPLAY_NAME_REGENERATE_SYSTEM_PROMPT\",\n        user_prompt_key=\"AGENT_DISPLAY_NAME_REGENERATE_USER_PROMPT\",\n        default_system_prompt=(\n            \"You refine agent display names so they remain unique, concise, \"\n            \"and aligned with the agent's capability.\"\n        ),\n        default_user_prompt_builder=lambda ctx: (\n            f\"### Task Description:\\n{ctx['task_description']}\\n\\n\"\n            f\"### Original Display Name:\\n{ctx['original_value']}\\n\\n\"\n            f\"### Existing Display Names:\\n{ctx['existing_values']}\\n\\n\"\n            \"Generate a new display name that keeps the same meaning but does \"\n            \"not duplicate existing names. Return only the display name.\"\n        ),\n        fallback_fn=lambda base_value: _generate_unique_display_name_with_suffix(\n            base_value,\n            tenant_id=tenant_id,\n            agents_cache=agents_cache,\n            exclude_agent_id=exclude_agent_id\n        )\n    )\n\n\n\nasync def check_agent_name_conflict_batch_impl(\n    request: AgentNameBatchCheckRequest,\n    authorization: str\n) -> list[dict]:\n    \"\"\"\n    Batch check name/display_name duplication for multiple agents.\n    \"\"\"\n    _, tenant_id, _ = get_current_user_info(authorization)\n    agents_cache = query_all_agent_info_by_tenant_id(tenant_id)\n\n    results: list[dict] = []\n    for item in request.items:\n        if not item.name:\n            results.append({\n                \"name_conflict\": False,\n                \"display_name_conflict\": False,\n                \"conflict_agents\": []\n            })\n            continue\n\n        conflicts: list[dict] = []\n        name_conflict = False\n        display_name_conflict = False\n        for agent in agents_cache:\n            if item.agent_id and agent.get(\"agent_id\") == item.agent_id:\n                continue\n            matches_name = item.name and agent.get(\"name\") == item.name\n            matches_display = item.display_name and agent.get(\n                \"display_name\") == item.display_name\n            if matches_name:\n                name_conflict = True\n            if matches_display:\n                display_name_conflict = True\n            if matches_name or matches_display:\n                conflicts.append({\n                    \"name\": agent.get(\"name\"),\n                    \"display_name\": agent.get(\"display_name\"),\n                })\n\n        results.append({\n            \"name_conflict\": name_conflict,\n            \"display_name_conflict\": display_name_conflict,\n            \"conflict_agents\": conflicts\n        })\n    return results\n\n\nasync def regenerate_agent_name_batch_impl(\n    request: AgentNameBatchRegenerateRequest,\n    authorization: str\n) -> list[dict]:\n    \"\"\"\n    Batch regenerate agent name/display_name with LLM (or suffix fallback).\n    \"\"\"\n    _, tenant_id, _ = get_current_user_info(authorization)\n    agents_cache = query_all_agent_info_by_tenant_id(tenant_id)\n\n    existing_names = [agent.get(\"name\") for agent in agents_cache if agent.get(\"name\")]\n    existing_display_names = [agent.get(\"display_name\") for agent in agents_cache if agent.get(\"display_name\")]\n\n    # Always use tenant quick-config LLM model\n    quick_config_model = tenant_config_manager.get_model_config(\n        key=MODEL_CONFIG_MAPPING[\"llm\"],\n        tenant_id=tenant_id\n    )\n    resolved_model_id = quick_config_model.get(\"model_id\") if quick_config_model else None\n    if not resolved_model_id:\n        raise ValueError(\"No available model for regeneration. Please configure an LLM model first.\")\n\n    results: list[dict] = []\n    # Use local mutable caches to avoid regenerated duplicates in the same batch\n    name_set = set(existing_names)\n    display_name_set = set(existing_display_names)\n\n    for item in request.items:\n        agent_name = item.name or \"\"\n        agent_display_name = item.display_name or \"\"\n        task_description = item.task_description or \"\"\n        exclude_agent_id = item.agent_id\n\n        # Regenerate name if duplicate and non-empty\n        if agent_name and _check_agent_name_duplicate(\n            agent_name, tenant_id, agents_cache=agents_cache, exclude_agent_id=exclude_agent_id\n        ):\n            try:\n                agent_name = await asyncio.to_thread(\n                    _regenerate_agent_name_with_llm,\n                    original_name=agent_name,\n                    existing_names=list(name_set),\n                    task_description=task_description,\n                    model_id=resolved_model_id,\n                    tenant_id=tenant_id,\n                    language=LANGUAGE[\"ZH\"],\n                    agents_cache=agents_cache,\n                    exclude_agent_id=exclude_agent_id\n                )\n            except Exception as e:\n                logger.error(f\"Failed to regenerate agent name with LLM: {str(e)}, using fallback\")\n                agent_name = _generate_unique_agent_name_with_suffix(\n                    agent_name,\n                    tenant_id=tenant_id,\n                    agents_cache=agents_cache,\n                    exclude_agent_id=exclude_agent_id\n                )\n\n        # Regenerate display_name if duplicate and non-empty\n        if agent_display_name and _check_agent_display_name_duplicate(\n            agent_display_name, tenant_id, agents_cache=agents_cache, exclude_agent_id=exclude_agent_id\n        ):\n            try:\n                agent_display_name = await asyncio.to_thread(\n                    _regenerate_agent_display_name_with_llm,\n                    original_display_name=agent_display_name,\n                    existing_display_names=list(display_name_set),\n                    task_description=task_description,\n                    model_id=resolved_model_id,\n                    tenant_id=tenant_id,\n                    language=LANGUAGE[\"ZH\"],\n                    agents_cache=agents_cache,\n                    exclude_agent_id=exclude_agent_id\n                )\n            except Exception as e:\n                logger.error(f\"Failed to regenerate agent display_name with LLM: {str(e)}, using fallback\")\n                agent_display_name = _generate_unique_display_name_with_suffix(\n                    agent_display_name,\n                    tenant_id=tenant_id,\n                    agents_cache=agents_cache,\n                    exclude_agent_id=exclude_agent_id\n                )\n\n        # Track regenerated names to avoid duplicates within batch\n        if agent_name:\n            name_set.add(agent_name)\n        if agent_display_name:\n            display_name_set.add(agent_display_name)\n\n        results.append({\n            \"name\": agent_name,\n            \"display_name\": agent_display_name\n        })\n\n    return results\n\n\nasync def _stream_agent_chunks(\n    agent_request: \"AgentRequest\",\n    user_id: str,\n    tenant_id: str,\n    agent_run_info,\n    memory_ctx,\n):\n    \"\"\"Yield SSE chunks from agent_run while persisting messages & cleanup.\n\n    This utility centralizes the common streaming logic used by both\n    generate_stream_with_memory and generate_stream_no_memory so that the code\n    is easier to maintain and less error-prone.\n    \"\"\"\n\n    local_messages = []\n    captured_final_answer = None\n    try:\n        async for chunk in agent_run(agent_run_info):\n            local_messages.append(chunk)\n            # Try to capture the final answer as it streams by in order to start memory addition\n            try:\n                data = json.loads(chunk)\n                if data.get(\"type\") == \"final_answer\":\n                    captured_final_answer = data.get(\"content\")\n            except Exception:\n                pass\n            yield f\"data: {chunk}\\n\\n\"\n    except Exception as run_exc:\n        logger.error(f\"Agent run error: {str(run_exc)}\")\n        # Emit an error chunk and terminate the stream immediately\n        try:\n            error_payload = json.dumps(\n                {\"type\": \"error\", \"content\": str(run_exc)}, ensure_ascii=False)\n            yield f\"data: {error_payload}\\n\\n\"\n        finally:\n            return\n    finally:\n        # Persist assistant messages for non-debug runs\n        if not agent_request.is_debug:\n            save_messages(\n                agent_request,\n                target=MESSAGE_ROLE[\"ASSISTANT\"],\n                messages=local_messages,\n                tenant_id=tenant_id,\n                user_id=user_id,\n            )\n        # Always unregister the run to release resources\n        agent_run_manager.unregister_agent_run(\n            agent_request.conversation_id, user_id)\n\n        # Schedule memory addition in background to avoid blocking SSE termination\n        async def _add_memory_background():\n            try:\n                # Skip if memory recording is disabled\n                if not getattr(memory_ctx.user_config, \"memory_switch\", False):\n                    return\n                # Use the captured final answer during streaming; observer queue was drained\n                final_answer_local = captured_final_answer\n                if not final_answer_local:\n                    return\n\n                # Determine allowed memory levels\n                levels_local = {\"agent\", \"user_agent\"}\n                if memory_ctx.user_config.agent_share_option == \"never\":\n                    levels_local.discard(\"agent\")\n                if memory_ctx.agent_id in getattr(memory_ctx.user_config, \"disable_agent_ids\", []):\n                    levels_local.discard(\"agent\")\n                if memory_ctx.agent_id in getattr(memory_ctx.user_config, \"disable_user_agent_ids\", []):\n                    levels_local.discard(\"user_agent\")\n                if not levels_local:\n                    return\n\n                mem_messages_local = [\n                    {\"role\": MESSAGE_ROLE[\"USER\"],\n                        \"content\": agent_run_info.query},\n                    {\"role\": MESSAGE_ROLE[\"ASSISTANT\"],\n                        \"content\": final_answer_local},\n                ]\n\n                add_result_local = await add_memory_in_levels(\n                    messages=mem_messages_local,\n                    memory_config=memory_ctx.memory_config,\n                    tenant_id=memory_ctx.tenant_id,\n                    user_id=memory_ctx.user_id,\n                    agent_id=memory_ctx.agent_id,\n                    memory_levels=list(levels_local),\n                )\n                items_local = add_result_local.get(\"results\", [])\n                logger.info(f\"Memory addition completed: {items_local}\")\n            except Exception as bg_e:\n                logger.error(\n                    f\"Unexpected error during background memory addition: {bg_e}\")\n\n        try:\n            # Create and store the background task to avoid warnings\n            background_task = asyncio.create_task(_add_memory_background())\n            # Add done callback to handle any exceptions that might occur\n            background_task.add_done_callback(lambda t: t.exception() if t.exception() else None)\n        except Exception as schedule_err:\n            logger.error(\n                f\"Failed to schedule background memory addition: {schedule_err}\")\n\n\ndef get_enable_tool_id_by_agent_id(agent_id: int, tenant_id: str):\n    all_tool_instance = query_all_enabled_tool_instances(\n        agent_id=agent_id, tenant_id=tenant_id)\n    enable_tool_id_set = set()\n    for tool_instance in all_tool_instance:\n        if tool_instance[\"enabled\"]:\n            enable_tool_id_set.add(tool_instance[\"tool_id\"])\n    return list(enable_tool_id_set)\n\n\nasync def get_creating_sub_agent_id_service(tenant_id: str, user_id: str = None) -> int:\n    \"\"\"\n        first find the blank sub agent, if it exists, it means the agent was created before, but exited prematurely;\n                                  if it does not exist, create a new one\n    \"\"\"\n    sub_agent_id = search_blank_sub_agent_by_main_agent_id(tenant_id=tenant_id)\n    if sub_agent_id:\n        return sub_agent_id\n    else:\n        return create_agent(agent_info={\"enabled\": False}, tenant_id=tenant_id, user_id=user_id)[\"agent_id\"]\n\n\nasync def get_agent_info_impl(agent_id: int, tenant_id: str, version_no: int = 0):\n    try:\n        agent_info = search_agent_info_by_agent_id(agent_id, tenant_id, version_no)\n    except Exception as e:\n        logger.error(f\"Failed to get agent info: {str(e)}\")\n        raise ValueError(f\"Failed to get agent info: {str(e)}\")\n\n    try:\n        tool_info = search_tools_for_sub_agent(\n            agent_id=agent_id, tenant_id=tenant_id)\n        agent_info[\"tools\"] = tool_info\n    except Exception as e:\n        logger.error(f\"Failed to get agent tools: {str(e)}\")\n        agent_info[\"tools\"] = []\n\n    try:\n        sub_agent_id_list = query_sub_agents_id_list(\n            main_agent_id=agent_id, tenant_id=tenant_id)\n        agent_info[\"sub_agent_id_list\"] = sub_agent_id_list\n    except Exception as e:\n        logger.error(f\"Failed to get sub agent id list: {str(e)}\")\n        agent_info[\"sub_agent_id_list\"] = []\n\n    if agent_info[\"model_id\"] is not None:\n        model_info = get_model_by_model_id(agent_info[\"model_id\"])\n        agent_info[\"model_name\"] = model_info.get(\"display_name\", None) if model_info is not None else None\n    else:\n        agent_info[\"model_name\"] = None\n\n    # Get business logic model display name from model_id\n    if agent_info.get(\"business_logic_model_id\") is not None:\n        business_logic_model_info = get_model_by_model_id(agent_info[\"business_logic_model_id\"])\n        agent_info[\"business_logic_model_name\"] = business_logic_model_info.get(\"display_name\", None) if business_logic_model_info is not None else None\n    elif \"business_logic_model_name\" not in agent_info:\n        agent_info[\"business_logic_model_name\"] = None\n\n    if agent_info.get(\"group_ids\") is not None:\n        agent_info[\"group_ids\"] = convert_string_to_list(agent_info.get(\"group_ids\"))\n\n    # Check agent availability\n    is_available, unavailable_reasons = check_agent_availability(\n        agent_id=agent_id,\n        tenant_id=tenant_id,\n        agent_info=agent_info\n    )\n    agent_info[\"is_available\"] = is_available\n    agent_info[\"unavailable_reasons\"] = unavailable_reasons\n\n    return agent_info\n\n\nasync def get_creating_sub_agent_info_impl(authorization: str = Header(None)):\n    user_id, tenant_id, _ = get_current_user_info(authorization)\n\n    try:\n        sub_agent_id = await get_creating_sub_agent_id_service(tenant_id, user_id)\n    except Exception as e:\n        logger.error(f\"Failed to get creating sub agent id: {str(e)}\")\n        raise ValueError(f\"Failed to get creating sub agent id: {str(e)}\")\n\n    try:\n        agent_info = search_agent_info_by_agent_id(\n            agent_id=sub_agent_id, tenant_id=tenant_id)\n    except Exception as e:\n        logger.error(f\"Failed to get sub agent info: {str(e)}\")\n        raise ValueError(f\"Failed to get sub agent info: {str(e)}\")\n\n    try:\n        enable_tool_id_list = get_enable_tool_id_by_agent_id(\n            sub_agent_id, tenant_id)\n    except Exception as e:\n        logger.error(f\"Failed to get sub agent enable tool id list: {str(e)}\")\n        raise ValueError(\n            f\"Failed to get sub agent enable tool id list: {str(e)}\")\n\n    return {\"agent_id\": sub_agent_id,\n            \"name\": agent_info.get(\"name\"),\n            \"display_name\": agent_info.get(\"display_name\"),\n            \"description\": agent_info.get(\"description\"),\n            \"enable_tool_id_list\": enable_tool_id_list,\n            \"model_name\": agent_info[\"model_name\"],\n            \"model_id\": agent_info.get(\"model_id\"),\n            \"max_steps\": agent_info[\"max_steps\"],\n            \"business_description\": agent_info[\"business_description\"],\n            \"duty_prompt\": agent_info.get(\"duty_prompt\"),\n            \"constraint_prompt\": agent_info.get(\"constraint_prompt\"),\n            \"few_shots_prompt\": agent_info.get(\"few_shots_prompt\"),\n            \"sub_agent_id_list\": query_sub_agents_id_list(main_agent_id=sub_agent_id, tenant_id=tenant_id)}\n\n\nasync def update_agent_info_impl(request: AgentInfoRequest, authorization: str = Header(None)):\n    user_id, tenant_id, _ = get_current_user_info(authorization)\n\n    # If agent_id is None, create a new agent; otherwise, update existing\n    agent_id: Optional[int] = request.agent_id\n    try:\n        if agent_id is None:\n            # Create agent - automatically set group_ids to current user's groups\n            user_group_ids = _get_user_group_ids(user_id, tenant_id)\n            created = create_agent(agent_info={\n                \"name\": request.name,\n                \"display_name\": request.display_name,\n                \"description\": request.description,\n                \"business_description\": request.business_description,\n                \"author\": request.author,\n                \"model_id\": request.model_id,\n                \"model_name\": request.model_name,\n                \"business_logic_model_id\": request.business_logic_model_id,\n                \"business_logic_model_name\": request.business_logic_model_name,\n                \"max_steps\": request.max_steps,\n                \"provide_run_summary\": request.provide_run_summary,\n                \"duty_prompt\": request.duty_prompt,\n                \"constraint_prompt\": request.constraint_prompt,\n                \"few_shots_prompt\": request.few_shots_prompt,\n                \"enabled\": request.enabled if request.enabled is not None else True,\n                \"group_ids\": convert_list_to_string(request.group_ids) if request.group_ids else user_group_ids,\n                \"ingroup_permission\": request.ingroup_permission\n            }, tenant_id=tenant_id, user_id=user_id)\n            agent_id = created[\"agent_id\"]\n        else:\n            # Update agent\n            update_agent(agent_id, request, user_id)\n    except Exception as e:\n        logger.error(f\"Failed to update agent info: {str(e)}\")\n        raise ValueError(f\"Failed to update agent info: {str(e)}\")\n\n    # Handle enabled tools saving when provided\n    try:\n        if request.enabled_tool_ids is not None and agent_id is not None:\n            enabled_set = set(request.enabled_tool_ids)\n            # Query existing tool instances for this agent\n            existing_instances = query_tool_instances_by_agent_id(\n                agent_id, tenant_id)\n\n            # Handle unselected tool（already exist instance）→ enabled=False\n            for instance in existing_instances:\n                inst_tool_id = instance.get(\"tool_id\")\n                if inst_tool_id is not None and inst_tool_id not in enabled_set:\n                    create_or_update_tool_by_tool_info(\n                        tool_info=ToolInstanceInfoRequest(\n                            tool_id=inst_tool_id,\n                            agent_id=agent_id,\n                            params=instance.get(\"params\", {}),\n                            enabled=False\n                        ),\n                        tenant_id=tenant_id,\n                        user_id=user_id\n                    )\n\n            # Handle selected tool → enabled=True（create or update）\n            for tool_id in enabled_set:\n                # Keep existing params if any\n                existing_instance = next(\n                    (inst for inst in existing_instances\n                     if inst.get(\"tool_id\") == tool_id),\n                    None\n                )\n                params = (existing_instance or {}).get(\"params\", {})\n                create_or_update_tool_by_tool_info(\n                    tool_info=ToolInstanceInfoRequest(\n                        tool_id=tool_id,\n                        agent_id=agent_id,\n                        params=params,\n                        enabled=True,\n                    ),\n                    tenant_id=tenant_id,\n                    user_id=user_id\n                )\n    except Exception as e:\n        logger.error(f\"Failed to update agent tools: {str(e)}\")\n        raise ValueError(f\"Failed to update agent tools: {str(e)}\")\n\n    # Handle related agents saving when provided\n    try:\n        if request.related_agent_ids is not None and agent_id is not None:\n            related_agent_ids = request.related_agent_ids\n            # Check for circular dependencies using BFS\n            search_list = deque(related_agent_ids)\n            agent_id_set = set()\n\n            while len(search_list):\n                left_ele = search_list.popleft()\n                if left_ele == agent_id:\n                    raise ValueError(\"Circular dependency detected: Agent cannot be related to itself or create circular calls\")\n                if left_ele in agent_id_set:\n                    continue\n                else:\n                    agent_id_set.add(left_ele)\n                sub_ids = query_sub_agents_id_list(\n                    main_agent_id=left_ele, tenant_id=tenant_id)\n                search_list.extend(sub_ids)\n\n            # Update related agents\n            update_related_agents(\n                parent_agent_id=agent_id,\n                related_agent_ids=related_agent_ids,\n                tenant_id=tenant_id,\n                user_id=user_id\n            )\n    except ValueError as e:\n        # Re-raise ValueError (circular dependency) as-is\n        raise\n    except Exception as e:\n        logger.error(f\"Failed to update related agents: {str(e)}\")\n        raise ValueError(f\"Failed to update related agents: {str(e)}\")\n\n    return {\"agent_id\": agent_id}\n\n\nasync def delete_agent_impl(agent_id: int, tenant_id: str, user_id: str):\n    \"\"\"\n    Delete an agent and all related data.\n\n    Args:\n        agent_id: Agent ID to delete\n        tenant_id: Tenant ID\n        user_id: User ID performing the deletion\n    \"\"\"\n    try:\n        delete_agent_by_id(agent_id, tenant_id, user_id)\n        delete_agent_relationship(agent_id, tenant_id, user_id)\n        delete_tools_by_agent_id(agent_id, tenant_id, user_id)\n\n        # Clean up all memory data related to the agent\n        await clear_agent_memory(agent_id, tenant_id, user_id)\n    except Exception as e:\n        logger.error(f\"Failed to delete agent: {str(e)}\")\n        raise ValueError(f\"Failed to delete agent: {str(e)}\")\n\n\nasync def clear_agent_memory(agent_id: int, tenant_id: str, user_id: str):\n    \"\"\"\n    Purge specified agent's memory data\n\n    Args:\n        agent_id: Agent ID\n        tenant_id: Tenant ID\n        user_id: User ID\n    \"\"\"\n    try:\n        # Build memory configuration\n        memory_config = build_memory_config(tenant_id)\n\n        # Clean up agent-level memory\n        try:\n            agent_memory_result = await clear_memory(\n                memory_level=\"agent\",\n                memory_config=memory_config,\n                tenant_id=tenant_id,\n                user_id=user_id,\n                agent_id=str(agent_id)\n            )\n            logger.info(\n                f\"Cleared agent memory for agent {agent_id}: {agent_memory_result}\")\n        except Exception as e:\n            logger.error(\n                f\"Failed to clear agent-level memory for agent {agent_id}: {str(e)}\")\n\n        # Clean up user_agent-level memory\n        try:\n            user_agent_memory_result = await clear_memory(\n                memory_level=\"user_agent\",\n                memory_config=memory_config,\n                tenant_id=tenant_id,\n                user_id=user_id,\n                agent_id=str(agent_id)\n            )\n            logger.info(\n                f\"Cleared user_agent memory for agent {agent_id}: {user_agent_memory_result}\")\n        except Exception as e:\n            logger.error(\n                f\"Failed to clear user_agent-level memory for agent {agent_id}: {str(e)}\")\n\n    except Exception as e:\n        logger.error(\n            f\"Failed to build memory config for agent {agent_id}: {str(e)}\")\n        # Silently fail to maintain agent deletion process\n\n\nasync def export_agent_impl(agent_id: int, authorization: str = Header(None)) -> str:\n    \"\"\"\n    Export the configuration information of the specified agent and all its sub-agents.\n\n    Args:\n        agent_id (int): The ID of the agent to export.\n        authorization (str): User authentication information, obtained from the Header.\n\n    Returns:\n        str: A formatted JSON string containing the configuration information of the agent and all its sub-agents.\n\n    Data Structure Example:\n        model.py  ExportAndImportDataFormat\n\n    Note:\n        This function recursively finds all managed sub-agents and exports the detailed configuration of each agent (including tools, prompts, etc.) as a dictionary, and finally returns it as a formatted JSON string for frontend download and backup.\n    \"\"\"\n\n    user_id, tenant_id, _ = get_current_user_info(authorization)\n\n    export_agent_dict = {}\n    search_list = deque([agent_id])\n    agent_id_set = set()\n\n    mcp_info_set = set()\n\n    while len(search_list):\n        left_ele = search_list.popleft()\n        if left_ele in agent_id_set:\n            continue\n\n        agent_id_set.add(left_ele)\n        agent_info = await export_agent_by_agent_id(agent_id=left_ele, tenant_id=tenant_id, user_id=user_id)\n\n        # collect mcp name\n        for tool in agent_info.tools:\n            if tool.source == \"mcp\" and tool.usage:\n                mcp_info_set.add(tool.usage)\n\n        search_list.extend(agent_info.managed_agents)\n        export_agent_dict[str(agent_info.agent_id)] = agent_info\n\n    # convert mcp info to MCPInfo list\n    mcp_info_list = []\n    for mcp_server_name in mcp_info_set:\n        # get mcp url by mcp_server_name and tenant_id\n        mcp_url = get_mcp_server_by_name_and_tenant(mcp_server_name, tenant_id)\n        mcp_info_list.append(\n            MCPInfo(mcp_server_name=mcp_server_name, mcp_url=mcp_url))\n\n    export_data = ExportAndImportDataFormat(\n        agent_id=agent_id, agent_info=export_agent_dict, mcp_info=mcp_info_list)\n    return export_data.model_dump()\n\n\nasync def export_agent_by_agent_id(agent_id: int, tenant_id: str, user_id: str) -> ExportAndImportAgentInfo:\n    \"\"\"\n    Export a single agent's information based on agent_id\n    \"\"\"\n    agent_info = search_agent_info_by_agent_id(\n        agent_id=agent_id, tenant_id=tenant_id)\n    agent_relation_in_db = query_sub_agents_id_list(\n        main_agent_id=agent_id, tenant_id=tenant_id)\n    tool_list = await create_tool_config_list(agent_id=agent_id, tenant_id=tenant_id, user_id=user_id)\n\n    # Check if any tool is KnowledgeBaseSearchTool and set its metadata to empty dict\n    for tool in tool_list:\n        if tool.class_name in [\"KnowledgeBaseSearchTool\", \"AnalyzeTextFileTool\", \"AnalyzeImageTool\", \"DataMateSearchTool\"]:\n            tool.metadata = {}\n\n    # Get model_id and model display name from agent_info\n    model_id = agent_info.get(\"model_id\")\n    model_display_name = None\n    if model_id is not None:\n        model_info = get_model_by_model_id(model_id)\n        model_display_name = model_info.get(\"display_name\") if model_info is not None else None\n\n    # Get business_logic_model_id and business logic model display name\n    business_logic_model_id = agent_info.get(\"business_logic_model_id\")\n    business_logic_model_display_name = None\n    if business_logic_model_id is not None:\n        business_logic_model_info = get_model_by_model_id(business_logic_model_id)\n        business_logic_model_display_name = business_logic_model_info.get(\"display_name\") if business_logic_model_info is not None else None\n\n    agent_info = ExportAndImportAgentInfo(agent_id=agent_id,\n                                          name=agent_info[\"name\"],\n                                          display_name=agent_info[\"display_name\"],\n                                          description=agent_info[\"description\"],\n                                          business_description=agent_info[\"business_description\"],\n                                          author=agent_info.get(\"author\"),\n                                          max_steps=agent_info[\"max_steps\"],\n                                          provide_run_summary=agent_info[\"provide_run_summary\"],\n                                          duty_prompt=agent_info.get(\n                                              \"duty_prompt\"),\n                                          constraint_prompt=agent_info.get(\n                                              \"constraint_prompt\"),\n                                          few_shots_prompt=agent_info.get(\n                                              \"few_shots_prompt\"),\n                                          enabled=agent_info[\"enabled\"],\n                                          tools=tool_list,\n                                          managed_agents=agent_relation_in_db,\n                                          model_id=model_id,\n                                          model_name=model_display_name,\n                                          business_logic_model_id=business_logic_model_id,\n                                          business_logic_model_name=business_logic_model_display_name)\n    return agent_info\n\n\nasync def import_agent_impl(\n    agent_info: ExportAndImportDataFormat,\n    authorization: str = Header(None),\n    force_import: bool = False\n):\n    \"\"\"\n    Import agent using DFS.\n\n    Note:\n        MCP server registration and tool list refresh are now handled\n        on the frontend / dedicated MCP configuration flows.\n        The backend import logic only consumes the tools that already\n        exist for the current tenant.\n    \"\"\"\n    user_id, tenant_id, _ = get_current_user_info(authorization)\n    agent_id = agent_info.agent_id\n\n    agent_stack = deque([agent_id])\n    agent_id_set = set()\n    mapping_agent_id = {}\n\n    while len(agent_stack):\n        need_import_agent_id = agent_stack.pop()\n        if need_import_agent_id in agent_id_set:\n            continue\n\n        need_import_agent_info = agent_info.agent_info[str(\n            need_import_agent_id)]\n        managed_agents = need_import_agent_info.managed_agents\n\n        if agent_id_set.issuperset(managed_agents):\n            new_agent_id = await import_agent_by_agent_id(\n                import_agent_info=agent_info.agent_info[str(\n                    need_import_agent_id)],\n                tenant_id=tenant_id,\n                user_id=user_id,\n                skip_duplicate_regeneration=force_import\n            )\n            mapping_agent_id[need_import_agent_id] = new_agent_id\n\n            agent_id_set.add(need_import_agent_id)\n            # Establish relationships with sub-agents\n            for sub_agent_id in managed_agents:\n                insert_related_agent(parent_agent_id=mapping_agent_id[need_import_agent_id],\n                                     child_agent_id=mapping_agent_id[sub_agent_id],\n                                     tenant_id=tenant_id,\n                                     user_id=user_id)\n        else:\n            # Current agent still has sub-agents that haven't been imported\n            agent_stack.append(need_import_agent_id)\n            agent_stack.extend(managed_agents)\n\n    # Return the mapping of original IDs to new IDs\n    return mapping_agent_id\n\n\nasync def import_agent_by_agent_id(\n    import_agent_info: ExportAndImportAgentInfo,\n    tenant_id: str,\n    user_id: str,\n    skip_duplicate_regeneration: bool = False\n):\n    tool_list = []\n\n    # query all tools in the current tenant\n    tool_info = query_all_tools(tenant_id=tenant_id)\n    db_all_tool_info_dict = {\n        f\"{tool['class_name']}&{tool['source']}\": tool for tool in tool_info}\n\n    for tool in import_agent_info.tools:\n        db_tool_info: dict | None = db_all_tool_info_dict.get(\n            f\"{tool.class_name}&{tool.source}\", None)\n\n        if db_tool_info is None:\n            raise ValueError(\n                f\"Cannot find tool {tool.class_name} in {tool.source}.\")\n\n        db_tool_info_params = db_tool_info[\"params\"]\n        db_tool_info_params_name_set = set(\n            [param_info[\"name\"] for param_info in db_tool_info_params])\n\n        for tool_param_name in tool.params:\n            if tool_param_name not in db_tool_info_params_name_set:\n                raise ValueError(\n                    f\"Parameter {tool_param_name} in tool {tool.class_name} from {tool.source} cannot be found.\")\n\n        tool_list.append(ToolInstanceInfoRequest(tool_id=db_tool_info['tool_id'],\n                                                 agent_id=-1,\n                                                 enabled=True,\n                                                 params=tool.params))\n    # check the validity of the agent parameters\n    if import_agent_info.max_steps <= 0 or import_agent_info.max_steps > 20:\n        raise ValueError(\n            f\"Invalid max steps: {import_agent_info.max_steps}. max steps must be greater than 0 and less than 20.\")\n    if not import_agent_info.name.isidentifier():\n        raise ValueError(\n            f\"Invalid agent name: {import_agent_info.name}. agent name must be a valid python variable name.\")\n\n    # Resolve model IDs with fallback\n    # Note: We use model_display_name for cross-tenant compatibility\n    # The exported model_id is kept for reference/debugging only\n    model_id = _resolve_model_with_fallback(\n        model_display_name=import_agent_info.model_name,\n        exported_model_id=import_agent_info.model_id,\n        model_label=\"Model\",\n        tenant_id=tenant_id\n    )\n\n    business_logic_model_id = _resolve_model_with_fallback(\n        model_display_name=import_agent_info.business_logic_model_name,\n        exported_model_id=import_agent_info.business_logic_model_id,\n        model_label=\"Business logic model\",\n        tenant_id=tenant_id\n    )\n\n    agent_name = import_agent_info.name\n    agent_display_name = import_agent_info.display_name\n\n    # create a new agent - use current user's groups instead of imported group_ids\n    user_group_ids = _get_user_group_ids(user_id, tenant_id)\n    new_agent = create_agent(agent_info={\"name\": agent_name,\n                                         \"display_name\": agent_display_name,\n                                         \"description\": import_agent_info.description,\n                                         \"business_description\": import_agent_info.business_description,\n                                         \"author\": import_agent_info.author,\n                                         \"model_id\": model_id,\n                                         \"model_name\": import_agent_info.model_name,\n                                         \"business_logic_model_id\": business_logic_model_id,\n                                         \"business_logic_model_name\": import_agent_info.business_logic_model_name,\n                                         \"max_steps\": import_agent_info.max_steps,\n                                         \"provide_run_summary\": import_agent_info.provide_run_summary,\n                                         \"duty_prompt\": import_agent_info.duty_prompt,\n                                         \"constraint_prompt\": import_agent_info.constraint_prompt,\n                                         \"few_shots_prompt\": import_agent_info.few_shots_prompt,\n                                         \"enabled\": import_agent_info.enabled,\n                                         \"group_ids\": user_group_ids},\n                             tenant_id=tenant_id,\n                             user_id=user_id)\n    new_agent_id = new_agent[\"agent_id\"]\n    # create tool_instance\n    for tool in tool_list:\n        tool.agent_id = new_agent_id\n        create_or_update_tool_by_tool_info(\n            tool_info=tool, tenant_id=tenant_id, user_id=user_id)\n    # Auto-publish initial version v1 for market-imported agents\n    try:\n        publish_version_impl(\n            agent_id=new_agent_id,\n            tenant_id=tenant_id,\n            user_id=user_id,\n            version_name=\"v1\",\n            release_note=\"Initial version from Agent Market\"\n        )\n    except Exception as e:\n        logger.warning(f\"Failed to auto-publish version v1 for agent {new_agent_id}: {str(e)}\")\n    return new_agent_id\n\n\ndef load_default_agents_json_file(default_agent_path):\n    # load all json files in the folder\n    all_json_files = []\n    agent_file_list = os.listdir(default_agent_path)\n    for agent_file in agent_file_list:\n        if agent_file.endswith(\".json\"):\n            with open(os.path.join(default_agent_path, agent_file), \"r\", encoding=\"utf-8\") as f:\n                agent_json = json.load(f)\n\n            export_agent_info = ExportAndImportAgentInfo.model_validate(\n                agent_json)\n            all_json_files.append(export_agent_info)\n    return all_json_files\n\n\nasync def clear_agent_new_mark_impl(agent_id: int, tenant_id: str, user_id: str):\n    \"\"\"\n    Clear the NEW mark for an agent\n\n    Args:\n        agent_id (int): Agent ID\n        tenant_id (str): Tenant ID\n        user_id (str): User ID (for audit purposes)\n    \"\"\"\n    rowcount = clear_agent_new_mark(agent_id, tenant_id, user_id)\n    logger.info(f\"clear_agent_new_mark_impl called for agent_id={agent_id}, tenant_id={tenant_id}, user_id={user_id}, affected_rows={rowcount}\")\n    return rowcount\n\n\n\n\nasync def list_all_agent_info_impl(tenant_id: str, user_id: str) -> list[dict]:\n    \"\"\"\n    list all agent info\n\n    Args:\n        tenant_id (str): tenant id\n        user_id (str): user id (used for permission calculation and filtering)\n\n    Raises:\n        ValueError: failed to query all agent info\n\n    Returns:\n        list: list of agent info\n    \"\"\"\n    try:\n        user_tenant_record = get_user_tenant_by_user_id(user_id) or {}\n        user_role = str(user_tenant_record.get(\"user_role\") or \"\").upper()\n\n        can_edit_all = user_role in CAN_EDIT_ALL_USER_ROLES\n\n        # For DEV/USER, restrict visible agents to those whose group_ids overlap user's groups.\n        user_group_ids: set[int] = set()\n        if not can_edit_all:\n            try:\n                user_group_ids = set(query_group_ids_by_user(user_id) or [])\n            except Exception as e:\n                logger.warning(\n                    f\"Failed to query user group ids for filtering: user_id={user_id}, err={str(e)}\"\n                )\n                user_group_ids = set()\n\n        agent_list = query_all_agent_info_by_tenant_id(tenant_id=tenant_id)\n\n        model_cache: Dict[int, Optional[dict]] = {}\n        enriched_agents: list[dict] = []\n\n        for agent in agent_list:\n            if not agent[\"enabled\"]:\n                continue\n\n            # Apply visibility filter for DEV/USER based on group overlap\n            if not can_edit_all:\n                agent_group_ids = set(convert_string_to_list(agent.get(\"group_ids\")))\n                ingroup_permission = agent.get(\"ingroup_permission\")\n                is_creator = str(agent.get(\"created_by\")) == str(user_id)\n                # Hide agent if: no group overlap OR (ingroup_permission is PRIVATE AND user is not creator)\n                if not is_creator and (len(user_group_ids.intersection(agent_group_ids)) == 0 or ingroup_permission == PERMISSION_PRIVATE):\n                    continue\n\n            # Use shared availability check function\n            _, unavailable_reasons = check_agent_availability(\n                agent_id=agent[\"agent_id\"],\n                tenant_id=tenant_id,\n                agent_info=agent,\n                model_cache=model_cache\n            )\n\n            # Preserve the raw data so we can adjust availability for duplicates\n            enriched_agents.append({\n                \"raw_agent\": agent,\n                \"unavailable_reasons\": unavailable_reasons,\n            })\n\n        # Handle duplicate name/display_name: keep the earliest created agent available,\n        # mark later ones as unavailable due to duplication.\n        _apply_duplicate_name_availability_rules(enriched_agents)\n\n        simple_agent_list: list[dict] = []\n        for entry in enriched_agents:\n            agent = entry[\"raw_agent\"]\n            unavailable_reasons = list(dict.fromkeys(entry[\"unavailable_reasons\"]))\n\n            model_id = agent.get(\"model_id\")\n            model_info = None\n            if model_id is not None:\n                if model_id not in model_cache:\n                    model_cache[model_id] = get_model_by_model_id(model_id, tenant_id)\n                model_info = model_cache.get(model_id)\n\n            # Permission logic:\n            # - If creator or can_edit_all: PERMISSION_EDIT\n            # - Otherwise: use ingroup_permission, default to PERMISSION_READ if None\n            if can_edit_all or str(agent.get(\"created_by\")) == str(user_id):\n                permission = PERMISSION_EDIT\n            else:\n                ingroup_permission = agent.get(\"ingroup_permission\")\n                permission = ingroup_permission if ingroup_permission is not None else PERMISSION_READ\n\n            simple_agent_list.append({\n                \"agent_id\": agent[\"agent_id\"],\n                \"name\": agent[\"name\"] if agent[\"name\"] else agent[\"display_name\"],\n                \"display_name\": agent[\"display_name\"] if agent[\"display_name\"] else agent[\"name\"],\n                \"description\": agent[\"description\"],\n                \"author\": agent.get(\"author\"),\n                \"model_id\": model_id,\n                \"model_name\": model_info.get(\"model_name\") if model_info is not None else agent.get(\"model_name\"),\n                \"model_display_name\": model_info.get(\"display_name\") if model_info is not None else None,\n                \"is_available\": len(unavailable_reasons) == 0,\n                \"unavailable_reasons\": unavailable_reasons,\n                \"is_new\": agent.get(\"is_new\", False),\n                \"group_ids\": convert_string_to_list(agent.get(\"group_ids\")),\n                \"permission\": permission,\n                \"is_published\": agent.get(\"current_version_no\") is not None,\n            })\n\n        return simple_agent_list\n    except Exception as e:\n        logger.error(f\"Failed to query all agent info: {str(e)}\")\n        raise ValueError(f\"Failed to query all agent info: {str(e)}\")\n\n\ndef _apply_duplicate_name_availability_rules(enriched_agents: list[dict]) -> None:\n    \"\"\"\n    For agents that share the same name or display_name, only the earliest created\n    agent should remain available (if it has no other unavailable reasons).\n    All later-created agents in the same group become unavailable due to duplication.\n    \"\"\"\n    # Group by name and display_name\n    name_groups: dict[str, list[dict]] = {}\n    display_name_groups: dict[str, list[dict]] = {}\n\n    for entry in enriched_agents:\n        agent = entry[\"raw_agent\"]\n        name = agent.get(\"name\")\n        if name:\n            name_groups.setdefault(name, []).append(entry)\n\n        display_name = agent.get(\"display_name\")\n        if display_name:\n            display_name_groups.setdefault(display_name, []).append(entry)\n\n    def _mark_duplicates(groups: dict[str, list[dict]], reason_key: str) -> None:\n        for entries in groups.values():\n            if len(entries) <= 1:\n                continue\n\n            # Sort by create_time ascending so the earliest created agent comes first\n            sorted_entries = sorted(\n                entries,\n                key=lambda e: e[\"raw_agent\"].get(\"create_time\"),\n            )\n\n            # The first (earliest) agent keeps its current availability;\n            # subsequent agents are marked as duplicates.\n            for duplicate_entry in sorted_entries[1:]:\n                duplicate_entry[\"unavailable_reasons\"].append(reason_key)\n\n    _mark_duplicates(name_groups, \"duplicate_name\")\n    _mark_duplicates(display_name_groups, \"duplicate_display_name\")\n\n\ndef _collect_model_availability_reasons(agent: dict, tenant_id: str, model_cache: Dict[int, Optional[dict]]) -> list[str]:\n    \"\"\"\n    Build a list of reasons related to model availability issues for a given agent.\n    \"\"\"\n    reasons: list[str] = []\n    reasons.extend(_check_single_model_availability(\n        model_id=agent.get(\"model_id\"),\n        tenant_id=tenant_id,\n        model_cache=model_cache,\n        reason_key=\"model_unavailable\"\n    ))\n\n    return reasons\n\n\ndef _check_single_model_availability(\n    model_id: int | None,\n    tenant_id: str,\n    model_cache: Dict[int, Optional[dict]],\n    reason_key: str,\n) -> list[str]:\n    if not model_id:\n        return []\n\n    if model_id not in model_cache:\n        model_cache[model_id] = get_model_by_model_id(model_id, tenant_id)\n\n    model_info = model_cache.get(model_id)\n    if not model_info:\n        return [reason_key]\n\n    connect_status = ModelConnectStatusEnum.get_value(\n        model_info.get(\"connect_status\"))\n    if connect_status != ModelConnectStatusEnum.AVAILABLE.value:\n        return [reason_key]\n\n    return []\n\n\ndef check_agent_availability(\n    agent_id: int,\n    tenant_id: str,\n    agent_info: dict | None = None,\n    model_cache: Dict[int, Optional[dict]] | None = None\n) -> tuple[bool, list[str]]:\n    \"\"\"\n    Check if an agent is available based on its tools and model configuration.\n\n    Args:\n        agent_id: The agent ID to check\n        tenant_id: The tenant ID\n        agent_info: Optional pre-fetched agent info (to avoid duplicate DB queries)\n        model_cache: Optional model cache for performance optimization\n\n    Returns:\n        tuple: (is_available: bool, unavailable_reasons: list[str])\n    \"\"\"\n    unavailable_reasons: list[str] = []\n\n    if model_cache is None:\n        model_cache = {}\n\n    # Fetch agent info if not provided\n    if agent_info is None:\n        agent_info = search_agent_info_by_agent_id(agent_id, tenant_id)\n\n    if not agent_info:\n        return False, [\"agent_not_found\"]\n\n    # Check tool availability\n    tool_info = search_tools_for_sub_agent(agent_id=agent_id, tenant_id=tenant_id)\n    tool_id_list = [tool[\"tool_id\"] for tool in tool_info if tool.get(\"tool_id\") is not None]\n    if tool_id_list:\n        tool_statuses = check_tool_is_available(tool_id_list)\n        if not all(tool_statuses):\n            unavailable_reasons.append(\"tool_unavailable\")\n\n    # Check model availability\n    model_reasons = _collect_model_availability_reasons(\n        agent=agent_info,\n        tenant_id=tenant_id,\n        model_cache=model_cache\n    )\n    unavailable_reasons.extend(model_reasons)\n\n    is_available = len(unavailable_reasons) == 0\n    return is_available, unavailable_reasons\n\n\ndef insert_related_agent_impl(parent_agent_id, child_agent_id, tenant_id):\n    # search the agent by bfs, check if there is a circular call\n    search_list = deque([child_agent_id])\n    agent_id_set = set()\n\n    while len(search_list):\n        left_ele = search_list.popleft()\n        if left_ele == parent_agent_id:\n            return JSONResponse(\n                status_code=500,\n                content={\n                    \"message\": \"There is a circular call in the agent\", \"status\": \"error\"}\n            )\n        if left_ele in agent_id_set:\n            continue\n        else:\n            agent_id_set.add(left_ele)\n        sub_ids = query_sub_agents_id_list(\n            main_agent_id=left_ele, tenant_id=tenant_id)\n        search_list.extend(sub_ids)\n\n    result = insert_related_agent(parent_agent_id, child_agent_id, tenant_id)\n    if result:\n        return JSONResponse(\n            status_code=200,\n            content={\"message\": \"Insert relation success\", \"status\": \"success\"}\n        )\n    else:\n        return JSONResponse(\n            status_code=400,\n            content={\"message\": \"Failed to insert relation\", \"status\": \"error\"}\n        )\n\n\n# Helper function for run_agent_stream, used to prepare context for an agent run\nasync def prepare_agent_run(\n    agent_request: AgentRequest,\n    user_id: str,\n    tenant_id: str,\n    language: str = LANGUAGE[\"ZH\"],\n    allow_memory_search: bool = True,\n):\n    \"\"\"\n    Prepare for an agent run by creating context and run info, and registering the run.\n    \"\"\"\n\n    memory_context = build_memory_context(\n        user_id, tenant_id, agent_request.agent_id, skip_query=not allow_memory_search)\n    agent_run_info = await create_agent_run_info(\n        agent_id=agent_request.agent_id,\n        minio_files=agent_request.minio_files,\n        query=agent_request.query,\n        history=agent_request.history,\n        tenant_id=tenant_id,\n        user_id=user_id,\n        language=language,\n        allow_memory_search=allow_memory_search,\n        is_debug=agent_request.is_debug,\n    )\n    agent_run_manager.register_agent_run(\n        agent_request.conversation_id, agent_run_info, user_id)\n    return agent_run_info, memory_context\n\n\n# Helper function for run_agent_stream, used to save messages for either user or assistant\ndef save_messages(agent_request, target: str, user_id: str, tenant_id: str, messages=None):\n    if target == MESSAGE_ROLE[\"USER\"]:\n        if messages is not None:\n            raise ValueError(\"Messages should be None when saving for user.\")\n        submit(save_conversation_user, agent_request, user_id, tenant_id)\n    elif target == MESSAGE_ROLE[\"ASSISTANT\"]:\n        if messages is None:\n            raise ValueError(\n                \"Messages cannot be None when saving for assistant.\")\n        submit(save_conversation_assistant,\n               agent_request, messages, user_id, tenant_id)\n\n\n# Helper function for run_agent_stream, used to generate stream response with memory preprocess tokens\nasync def generate_stream_with_memory(\n    agent_request: AgentRequest,\n    user_id: str,\n    tenant_id: str,\n    language: str = LANGUAGE[\"ZH\"],\n):\n    # Prepare preprocess task tracking (simulate preprocess flow)\n    task_id = str(uuid.uuid4())\n    conversation_id = agent_request.conversation_id\n    current_task = asyncio.current_task()\n    if current_task:\n        preprocess_manager.register_preprocess_task(\n            task_id, conversation_id, current_task\n        )\n\n    # Helper to emit memory_search token\n    def _memory_token(message_text: str) -> str:\n        payload = {\n            \"type\": \"memory_search\",\n            \"content\": json.dumps({\"message\": message_text}, ensure_ascii=False),\n        }\n        return json.dumps(payload, ensure_ascii=False)\n\n    # Placeholder messages handled by frontend for i18n\n    msg_start = MEMORY_SEARCH_START_MSG\n    msg_done = MEMORY_SEARCH_DONE_MSG\n    msg_fail = MEMORY_SEARCH_FAIL_MSG\n\n    # ------------------------------------------------------------------\n    # Note: the actual streaming happens via `_stream_agent_chunks` helper\n    # ------------------------------------------------------------------\n\n    memory_enabled = False\n    try:\n        memory_context_preview = build_memory_context(\n            user_id, tenant_id, agent_request.agent_id\n        )\n        memory_enabled = bool(memory_context_preview.user_config.memory_switch)\n\n        if memory_enabled:\n            # Emit start token before memory retrieval\n            yield f\"data: {_memory_token(msg_start)}\\n\\n\"\n\n        # Prepare run (will execute memory retrieval inside create_agent_run_info)\n        try:\n            agent_run_info, memory_context = await prepare_agent_run(\n                agent_request=agent_request,\n                user_id=user_id,\n                tenant_id=tenant_id,\n                language=language,\n                allow_memory_search=True,\n            )\n        except Exception as prep_err:\n            # Normalize any preparation error to MemoryPreparationException\n            raise MemoryPreparationException(str(prep_err)) from prep_err\n\n        if memory_enabled:\n            # Emit completion token once memory is ready\n            yield f\"data: {_memory_token(msg_done)}\\n\\n\"\n\n        async for data_chunk in _stream_agent_chunks(\n            agent_request=agent_request,\n            user_id=user_id,\n            tenant_id=tenant_id,\n            agent_run_info=agent_run_info,\n            memory_ctx=memory_context,\n        ):\n            yield data_chunk\n\n    except MemoryPreparationException:\n        # Memory retrieval failure: emit failure token when memory is enabled, and continue without blocking\n        if memory_enabled:\n            yield f\"data: {_memory_token(msg_fail)}\\n\\n\"\n\n        try:\n            # Fallback to the no-memory streaming path, which internally handles\n            async for data_chunk in generate_stream_no_memory(\n                agent_request,\n                user_id=user_id,\n                tenant_id=tenant_id,\n            ):\n                yield data_chunk\n        except Exception as run_exc:\n            logger.error(\n                f\"Agent run error after memory failure: {str(run_exc)}\")\n            # Emit an error chunk and terminate the stream immediately\n            error_payload = json.dumps(\n                {\"type\": \"error\", \"content\": str(run_exc)}, ensure_ascii=False)\n            yield f\"data: {error_payload}\\n\\n\"\n            return\n    except Exception as e:\n        logger.error(f\"Generate stream with memory error: {str(e)}\")\n        # Emit an error chunk and terminate the stream immediately\n        error_payload = json.dumps(\n            {\"type\": \"error\", \"content\": str(e)}, ensure_ascii=False)\n        yield f\"data: {error_payload}\\n\\n\"\n        return\n    finally:\n        # Always unregister preprocess task\n        preprocess_manager.unregister_preprocess_task(task_id)\n\n\n# Helper function for run_agent_stream, used when user memory is disabled (no memory tokens)\n@monitoring_manager.monitor_endpoint(\"agent_service.generate_stream_no_memory\", exclude_params=[\"authorization\"])\nasync def generate_stream_no_memory(\n    agent_request: AgentRequest,\n    user_id: str,\n    tenant_id: str,\n    language: str = LANGUAGE[\"ZH\"],\n):\n    \"\"\"Stream agent responses without any memory preprocessing tokens or fallback logic.\"\"\"\n\n    # Prepare run info respecting memory disabled (honor provided user_id/tenant_id)\n    monitoring_manager.add_span_event(\"generate_stream_no_memory.started\")\n    agent_run_info, memory_context = await prepare_agent_run(\n        agent_request=agent_request,\n        user_id=user_id,\n        tenant_id=tenant_id,\n        language=language,\n        allow_memory_search=False,\n    )\n    monitoring_manager.add_span_event(\"generate_stream_no_memory.completed\")\n\n    monitoring_manager.add_span_event(\n        \"generate_stream_no_memory.streaming.started\")\n    async for data_chunk in _stream_agent_chunks(\n        agent_request=agent_request,\n        user_id=user_id,\n        tenant_id=tenant_id,\n        agent_run_info=agent_run_info,\n        memory_ctx=memory_context,\n    ):\n        yield data_chunk\n    monitoring_manager.add_span_event(\n        \"generate_stream_no_memory.streaming.completed\")\n\n\n@monitoring_manager.monitor_endpoint(\"agent_service.run_agent_stream\", exclude_params=[\"authorization\"])\nasync def run_agent_stream(\n    agent_request: AgentRequest,\n    http_request: Request,\n    authorization: str,\n    user_id: str = None,\n    tenant_id: str = None,\n    skip_user_save: bool = False,\n):\n    \"\"\"\n    Start an agent run and stream responses.\n    If user_id or tenant_id is provided, authorization will be overridden. (Useful in northbound apis)\n    \"\"\"\n    import time\n\n    # Add initial span attributes for tracking\n    monitoring_manager.set_span_attributes(\n        agent_id=agent_request.agent_id,\n        conversation_id=agent_request.conversation_id,\n        is_debug=agent_request.is_debug,\n        skip_user_save=skip_user_save,\n        has_override_user_id=user_id is not None,\n        has_override_tenant_id=tenant_id is not None,\n        query_length=len(agent_request.query) if agent_request.query else 0,\n        history_count=len(\n            agent_request.history) if agent_request.history else 0,\n        minio_files_count=len(\n            agent_request.minio_files) if agent_request.minio_files else 0\n    )\n\n    # Step 1: Resolve user tenant language\n    resolve_start_time = time.time()\n    monitoring_manager.add_span_event(\"user_resolution.started\")\n\n    resolved_user_id, resolved_tenant_id, language = _resolve_user_tenant_language(\n        authorization=authorization,\n        http_request=http_request,\n        user_id=user_id,\n        tenant_id=tenant_id,\n    )\n\n    resolve_duration = time.time() - resolve_start_time\n    monitoring_manager.add_span_event(\"user_resolution.completed\", {\n        \"duration\": resolve_duration,\n        \"user_id\": resolved_user_id,\n        \"tenant_id\": resolved_tenant_id,\n        \"language\": language\n    })\n    monitoring_manager.set_span_attributes(\n        resolved_user_id=resolved_user_id,\n        resolved_tenant_id=resolved_tenant_id,\n        language=language,\n        user_resolution_duration=resolve_duration\n    )\n\n    # Step 2: Save user message (if needed)\n    if not agent_request.is_debug and not skip_user_save:\n        save_start_time = time.time()\n        monitoring_manager.add_span_event(\"user_message_save.started\")\n\n        save_messages(\n            agent_request,\n            target=MESSAGE_ROLE[\"USER\"],\n            user_id=resolved_user_id,\n            tenant_id=resolved_tenant_id,\n        )\n\n        save_duration = time.time() - save_start_time\n        monitoring_manager.add_span_event(\"user_message_save.completed\", {\n            \"duration\": save_duration\n        })\n        monitoring_manager.set_span_attributes(\n            user_message_saved=True,\n            user_message_save_duration=save_duration\n        )\n    else:\n        monitoring_manager.add_span_event(\"user_message_save.skipped\", {\n            \"reason\": \"debug_mode\" if agent_request.is_debug else \"skip_user_save_flag\"\n        })\n        monitoring_manager.set_span_attributes(user_message_saved=False)\n\n    # Step 3: Build memory context (skip for debug mode)\n    memory_start_time = time.time()\n    monitoring_manager.add_span_event(\"memory_context_build.started\")\n\n    memory_ctx_preview = build_memory_context(\n        resolved_user_id, resolved_tenant_id, agent_request.agent_id, skip_query=agent_request.is_debug\n    )\n\n    memory_duration = time.time() - memory_start_time\n    memory_enabled = memory_ctx_preview.user_config.memory_switch\n    monitoring_manager.add_span_event(\"memory_context_build.completed\", {\n        \"duration\": memory_duration,\n        \"memory_enabled\": memory_enabled,\n        \"agent_share_option\": getattr(memory_ctx_preview.user_config, \"agent_share_option\", \"unknown\"),\n        \"debug_mode\": agent_request.is_debug\n    })\n    monitoring_manager.set_span_attributes(\n        memory_enabled=memory_enabled,\n        memory_context_build_duration=memory_duration,\n        agent_share_option=getattr(\n            memory_ctx_preview.user_config, \"agent_share_option\", \"unknown\")\n    )\n\n    # Step 4: Choose streaming strategy\n    strategy_start_time = time.time()\n    use_memory_stream = memory_enabled and not agent_request.is_debug\n\n    monitoring_manager.add_span_event(\"streaming_strategy.selected\", {\n        \"strategy\": \"with_memory\" if use_memory_stream else \"no_memory\",\n        \"memory_enabled\": memory_enabled,\n        \"is_debug\": agent_request.is_debug\n    })\n\n    if use_memory_stream:\n        monitoring_manager.add_span_event(\n            \"stream_generator.memory_stream.creating\")\n        stream_gen = generate_stream_with_memory(\n            agent_request,\n            user_id=resolved_user_id,\n            tenant_id=resolved_tenant_id,\n            language=language,\n        )\n    else:\n        monitoring_manager.add_span_event(\n            \"stream_generator.no_memory_stream.creating\")\n        stream_gen = generate_stream_no_memory(\n            agent_request,\n            user_id=resolved_user_id,\n            tenant_id=resolved_tenant_id,\n            language=language,\n        )\n\n    strategy_duration = time.time() - strategy_start_time\n    monitoring_manager.add_span_event(\"streaming_strategy.completed\", {\n        \"duration\": strategy_duration,\n        \"selected_strategy\": \"with_memory\" if use_memory_stream else \"no_memory\"\n    })\n    monitoring_manager.set_span_attributes(\n        streaming_strategy=(\n            \"with_memory\" if use_memory_stream else \"no_memory\"),\n        strategy_selection_duration=strategy_duration\n    )\n\n    # Step 5: Create streaming response\n    response_start_time = time.time()\n    monitoring_manager.add_span_event(\"streaming_response.creating\")\n\n    response = StreamingResponse(\n        stream_gen,\n        media_type=\"text/event-stream\",\n        headers={\"Cache-Control\": \"no-cache\", \"Connection\": \"keep-alive\"},\n    )\n\n    response_duration = time.time() - response_start_time\n    monitoring_manager.add_span_event(\"streaming_response.created\", {\n        \"duration\": response_duration,\n        \"media_type\": \"text/event-stream\"\n    })\n    monitoring_manager.set_span_attributes(\n        response_creation_duration=response_duration,\n        total_preparation_duration=(time.time() - resolve_start_time)\n    )\n\n    monitoring_manager.add_span_event(\"run_agent_stream.preparation_completed\", {\n        \"total_preparation_time\": time.time() - resolve_start_time\n    })\n\n    return response\n\n\ndef stop_agent_tasks(conversation_id: int, user_id: str):\n    \"\"\"\n    Stop agent run and preprocess tasks for the specified conversation_id.\n    Matches the behavior of agent_app.agent_stop_api.\n    \"\"\"\n    # Stop agent run\n    agent_stopped = agent_run_manager.stop_agent_run(conversation_id, user_id)\n\n    # Stop preprocess tasks\n    preprocess_stopped = preprocess_manager.stop_preprocess_tasks(\n        conversation_id)\n\n    if agent_stopped or preprocess_stopped:\n        message_parts = []\n        if agent_stopped:\n            message_parts.append(\"agent run\")\n        if preprocess_stopped:\n            message_parts.append(\"preprocess tasks\")\n\n        message = f\"successfully stopped {' and '.join(message_parts)} for user_id {user_id}, conversation_id {conversation_id}\"\n        logging.info(message)\n        return {\"status\": \"success\", \"message\": message}\n    else:\n        message = f\"no running agent or preprocess tasks found for user_id {user_id}, conversation_id {conversation_id}\"\n        logging.error(message)\n        return {\"status\": \"error\", \"message\": message}\n\n\nasync def get_agent_id_by_name(agent_name: str, tenant_id: str) -> int:\n    \"\"\"\n    Resolve unique agent id by its unique name under the same tenant.\n    \"\"\"\n    if not agent_name:\n        raise Exception(\"agent_name required\")\n    try:\n        return search_agent_id_by_agent_name(agent_name, tenant_id)\n    except Exception as _:\n        logger.error(\n            f\"Failed to find agent id with '{agent_name}' in tenant {tenant_id}\")\n        raise Exception(\"agent not found\")\n\n\ndef delete_related_agent_impl(parent_agent_id: int, child_agent_id: int, tenant_id: str):\n    \"\"\"\n    Delete the relationship between a parent agent and its child agent\n\n    Args:\n        parent_agent_id (int): The ID of the parent agent\n        child_agent_id (int): The ID of the child agent to be removed from parent\n        tenant_id (str): The tenant ID for data isolation\n\n    Raises:\n        ValueError: When deletion operation fails\n    \"\"\"\n    try:\n        return delete_related_agent(parent_agent_id, child_agent_id, tenant_id)\n    except Exception as e:\n        logger.error(f\"Failed to delete related agent: {str(e)}\")\n        raise Exception(f\"Failed to delete related agent: {str(e)}\")\n\n\ndef get_agent_call_relationship_impl(agent_id: int, tenant_id: str) -> dict:\n    \"\"\"\n    Get agent call relationship tree including tools and sub-agents\n\n    Args:\n        agent_id (int): agent id\n        tenant_id (str): tenant id\n\n    Returns:\n        dict: agent call relationship tree structure\n    \"\"\"\n    def _normalize_tool_type(source: str) -> str:\n        \"\"\"Normalize the source from database to the expected display type for testing.\"\"\"\n        if not source:\n            return \"UNKNOWN\"\n        s = str(source)\n        ls = s.lower()\n        if ls in TOOL_TYPE_MAPPING:\n            return TOOL_TYPE_MAPPING[ls]\n        # Unknown source: capitalize first letter, keep the rest unchanged (unknown_source -> Unknown_source)\n        return s[:1].upper() + s[1:]\n\n    try:\n\n        agent_info = search_agent_info_by_agent_id(agent_id, tenant_id)\n        if not agent_info:\n            raise ValueError(f\"Agent {agent_id} not found\")\n\n        tool_info = search_tools_for_sub_agent(\n            agent_id=agent_id, tenant_id=tenant_id)\n        tools = []\n        for tool in tool_info:\n            tool_name = tool.get(\"name\") or tool.get(\n                \"tool_name\") or str(tool[\"tool_id\"])\n            tool_source = tool.get(\"source\", ToolSourceEnum.LOCAL.value)\n            tool_type = _normalize_tool_type(tool_source)\n\n            tools.append({\n                \"tool_id\": tool[\"tool_id\"],\n                \"name\": tool_name,\n                \"type\": tool_type\n            })\n\n        def get_sub_agents_recursive(parent_agent_id: int, depth: int = 0, max_depth: int = 5) -> list:\n            if depth >= max_depth:\n                return []\n\n            sub_agent_id_list = query_sub_agents_id_list(\n                main_agent_id=parent_agent_id, tenant_id=tenant_id)\n            sub_agents = []\n\n            for sub_agent_id in sub_agent_id_list:\n                try:\n                    sub_agent_info = search_agent_info_by_agent_id(\n                        sub_agent_id, tenant_id)\n                    if sub_agent_info:\n\n                        sub_tool_info = search_tools_for_sub_agent(\n                            agent_id=sub_agent_id, tenant_id=tenant_id)\n                        sub_tools = []\n                        for tool in sub_tool_info:\n                            tool_name = tool.get(\"name\") or tool.get(\n                                \"tool_name\") or str(tool[\"tool_id\"])\n                            tool_source = tool.get(\n                                \"source\", ToolSourceEnum.LOCAL.value)\n                            tool_type = _normalize_tool_type(tool_source)\n\n                            sub_tools.append({\n                                \"tool_id\": tool[\"tool_id\"],\n                                \"name\": tool_name,\n                                \"type\": tool_type\n                            })\n\n                        deeper_sub_agents = get_sub_agents_recursive(\n                            sub_agent_id, depth + 1, max_depth)\n\n                        sub_agents.append({\n                            \"agent_id\": str(sub_agent_id),\n                            \"name\": sub_agent_info.get(\"display_name\") or sub_agent_info.get(\"name\",\n                                                                                             f\"Agent {sub_agent_id}\"),\n                            \"tools\": sub_tools,\n                            \"sub_agents\": deeper_sub_agents,\n                            \"depth\": depth + 1\n                        })\n                except Exception as e:\n                    logger.warning(\n                        f\"Failed to get sub-agent {sub_agent_id} info: {str(e)}\")\n                    continue\n\n            return sub_agents\n\n        sub_agents = get_sub_agents_recursive(agent_id)\n\n        return {\n            \"agent_id\": str(agent_id),\n            \"name\": agent_info.get(\"display_name\") or agent_info.get(\"name\", f\"Agent {agent_id}\"),\n            \"tools\": tools,\n            \"sub_agents\": sub_agents\n        }\n\n    except Exception as e:\n        logger.exception(\n            f\"Failed to get agent call relationship for agent {agent_id}: {str(e)}\")\n        raise ValueError(f\"Failed to get agent call relationship: {str(e)}\")\n"
  },
  {
    "path": "backend/services/agent_version_service.py",
    "content": "import logging\nfrom typing import Optional, Tuple, List, Dict, Any\nfrom sqlalchemy import update\n\nfrom database.client import get_db_session, as_dict\nfrom database.db_models import AgentInfo, ToolInstance, AgentRelation\nfrom database.agent_version_db import (\n    search_version_by_version_no,\n    query_version_list,\n    query_current_version_no,\n    query_agent_snapshot,\n    query_agent_draft,\n    insert_version,\n    update_version_status,\n    update_version,\n    update_agent_current_version,\n    insert_agent_snapshot,\n    insert_tool_snapshot,\n    insert_relation_snapshot,\n    delete_agent_snapshot,\n    delete_tool_snapshot,\n    delete_relation_snapshot,\n    get_next_version_no,\n    delete_version,\n    SOURCE_TYPE_NORMAL,\n    SOURCE_TYPE_ROLLBACK,\n    STATUS_RELEASED,\n    STATUS_DISABLED,\n    STATUS_ARCHIVED,\n)\nfrom database.model_management_db import get_model_by_model_id\nfrom utils.str_utils import convert_string_to_list\n\nlogger = logging.getLogger(\"agent_version_service\")\n\n\ndef _remove_audit_fields_for_insert(data: dict) -> None:\n    \"\"\"\n    Remove audit fields that should not be copied during snapshot\n    \"\"\"\n    data.pop('create_time', None)\n    data.pop('update_time', None)\n    data.pop('created_by', None)\n    data.pop('updated_by', None)\n    data.pop('delete_flag', None)\n\n\ndef publish_version_impl(\n    agent_id: int,\n    tenant_id: str,\n    user_id: str,\n    version_name: Optional[str] = None,\n    release_note: Optional[str] = None,\n    source_type: str = SOURCE_TYPE_NORMAL,\n    source_version_no: Optional[int] = None,\n) -> dict:\n    \"\"\"\n    Publish a new version\n    1. Copy draft data (version_no=0) to new version\n    2. Create version metadata record\n    3. Update current_version_no\n    \"\"\"\n    # Get draft data\n    agent_draft, tools_draft, relations_draft = query_agent_draft(agent_id, tenant_id)\n    if not agent_draft:\n        raise ValueError(\"Agent draft not found\")\n\n    # Calculate new version number\n    new_version_no = get_next_version_no(agent_id, tenant_id)\n\n    # Prepare agent snapshot data\n    agent_snapshot = agent_draft.copy()\n    agent_snapshot.pop('version_no', None)\n    agent_snapshot.pop('current_version_no', None)\n    agent_snapshot['version_no'] = new_version_no\n    _remove_audit_fields_for_insert(agent_snapshot)\n\n    # Insert agent snapshot\n    insert_agent_snapshot(agent_snapshot)\n\n    # Insert tool snapshots\n    for tool in tools_draft:\n        tool_snapshot = tool.copy()\n        tool_snapshot.pop('version_no', None)\n        tool_snapshot['version_no'] = new_version_no\n        _remove_audit_fields_for_insert(tool_snapshot)\n        insert_tool_snapshot(tool_snapshot)\n\n    # Insert relation snapshots\n    for rel in relations_draft:\n        rel_snapshot = rel.copy()\n        rel_snapshot.pop('version_no', None)\n        rel_snapshot['version_no'] = new_version_no\n        _remove_audit_fields_for_insert(rel_snapshot)\n        insert_relation_snapshot(rel_snapshot)\n\n    # Create version metadata\n    version_data = {\n        'tenant_id': tenant_id,\n        'agent_id': agent_id,\n        'version_no': new_version_no,\n        'version_name': version_name,\n        'release_note': release_note,\n        'source_type': source_type,\n        'source_version_no': source_version_no,\n        'status': STATUS_RELEASED,\n        'created_by': user_id,\n    }\n    version_id = insert_version(version_data)\n\n    # Update current_version_no in draft\n    update_agent_current_version(agent_id, tenant_id, new_version_no)\n\n    return {\n        \"id\": version_id,\n        \"version_no\": new_version_no,\n        \"message\": \"Version published successfully\",\n    }\n\n\ndef get_version_list_impl(\n    agent_id: int,\n    tenant_id: str,\n) -> dict:\n    \"\"\"\n    Get version list for an agent\n    \"\"\"\n    items = query_version_list(\n        agent_id=agent_id,\n        tenant_id=tenant_id,\n    )\n    total = len(items)\n    return {\n        \"items\": items,\n        \"total\": total,\n    }\n\n\ndef get_version_impl(\n    agent_id: int,\n    tenant_id: str,\n    version_no: int,\n) -> dict:\n    \"\"\"\n    Get version\n    \"\"\"\n    return search_version_by_version_no(agent_id, tenant_id, version_no)\n\n\ndef get_version_detail_impl(\n    agent_id: int,\n    tenant_id: str,\n    version_no: int,\n) -> dict:\n    \"\"\"\n    Get version detail including snapshot data, structured like agent info.\n    Returns agent info with tools, sub_agents, availability, etc.\n    \"\"\"\n    result: Dict[str, Any] = {}\n\n    # Get version metadata first\n    version = search_version_by_version_no(agent_id, tenant_id, version_no)\n    if not version:\n        raise ValueError(f\"Version {version_no} not found\")\n\n    # Add version metadata as a nested object\n    result['version'] = {\n        'version_name': version.get('version_name'),\n        'version_status': version.get('status'),\n        'release_note': version.get('release_note'),\n        'source_type': version.get('source_type'),\n        'source_version_no': version.get('source_version_no'),\n    }\n\n    # Get snapshot data\n    agent_snapshot, tools_snapshot, relations_snapshot = query_agent_snapshot(\n        agent_id=agent_id,\n        tenant_id=tenant_id,\n        version_no=version_no,\n    )\n\n    if not agent_snapshot:\n        raise ValueError(f\"Agent snapshot for version {version_no} not found\")\n\n    # Copy all fields from agent_snapshot (excluding current_version_no as it has no meaning for version snapshot)\n    for key, value in agent_snapshot.items():\n        if key != 'current_version_no':\n            result[key] = value\n\n    # Add tools (only enabled tools)\n    result['tools'] = [t for t in tools_snapshot if t.get('enabled', True)]\n\n    # Extract sub_agent_id_list from relations\n    result['sub_agent_id_list'] = [r['selected_agent_id'] for r in relations_snapshot]\n\n    # Get model name from model_id\n    if result.get('model_id') is not None and result['model_id'] != 0:\n        model_info = get_model_by_model_id(result['model_id'])\n        result['model_name'] = model_info.get('display_name', None) if model_info else None\n    else:\n        result['model_name'] = None\n\n    # Get business logic model name\n    if result.get('business_logic_model_id') is not None and result['business_logic_model_id'] != 0:\n        business_logic_model_info = get_model_by_model_id(result['business_logic_model_id'])\n        result['business_logic_model_name'] = business_logic_model_info.get('display_name', None) if business_logic_model_info else None\n    else:\n        result['business_logic_model_name'] = None\n\n    # Convert group_ids string to list\n    if result.get('group_ids') is not None:\n        result['group_ids'] = convert_string_to_list(result.get('group_ids', ''))\n    else:\n        result['group_ids'] = []\n\n    # Build tool instances list for availability check\n    tool_instances_for_check = []\n    for tool in tools_snapshot:\n        tool_instance = {\n            'id': tool.get('tool_id'),\n            'enabled': tool.get('enabled', True),\n            'tool_id': tool.get('tool_id'),\n        }\n        tool_instances_for_check.append(tool_instance)\n\n    # Check agent availability\n    is_available, unavailable_reasons = _check_version_snapshot_availability(\n        agent_id=agent_id,\n        tenant_id=tenant_id,\n        agent_info=result,\n        tool_instances=tool_instances_for_check,\n    )\n    result['is_available'] = is_available\n    result['unavailable_reasons'] = unavailable_reasons\n\n    return result\n\n\ndef _check_version_snapshot_availability(\n    agent_id: int,\n    tenant_id: str,\n    agent_info: dict,\n    tool_instances: List[dict],\n) -> Tuple[bool, List[str]]:\n    \"\"\"\n    Check if a version snapshot agent is available.\n    Simplified version of check_agent_availability for snapshots.\n    \"\"\"\n    unavailable_reasons: List[str] = []\n\n    # Check if agent info exists\n    if not agent_info:\n        return False, [\"agent_not_found\"]\n\n    # Check model availability\n    model_id = agent_info.get('model_id')\n    if model_id is None or model_id == 0:\n        unavailable_reasons.append(\"model_not_configured\")\n\n    # Check tools availability\n    if not tool_instances:\n        unavailable_reasons.append(\"no_tools\")\n    else:\n        # Check if at least one tool is enabled\n        has_enabled_tool = any(t.get('enabled', True) for t in tool_instances)\n        if not has_enabled_tool:\n            unavailable_reasons.append(\"all_tools_disabled\")\n\n    return len(unavailable_reasons) == 0, unavailable_reasons\n\n\ndef rollback_version_impl(\n    agent_id: int,\n    tenant_id: str,\n    target_version_no: int,\n) -> dict:\n    \"\"\"\n    Rollback to a specific version by updating current_version_no only.\n    This does NOT create a new version - it simply points the draft to an existing version.\n    The actual version creation happens when user clicks \"publish\".\n\n    Args:\n        agent_id: Agent ID\n        tenant_id: Tenant ID\n        target_version_no: The version number to rollback to\n\n    Returns:\n        Success message with target version info\n    \"\"\"\n    # Verify the target version exists\n    version = search_version_by_version_no(agent_id, tenant_id, target_version_no)\n    if not version:\n        raise ValueError(f\"Version {target_version_no} not found\")\n\n    # Update current_version_no in draft to point to target version\n    rows_affected = update_agent_current_version(\n        agent_id=agent_id,\n        tenant_id=tenant_id,\n        current_version_no=target_version_no,\n    )\n\n    if rows_affected == 0:\n        raise ValueError(\"Agent draft not found\")\n\n    return {\n        \"message\": f\"Successfully rolled back to version {target_version_no}\",\n        \"version_no\": target_version_no,\n        \"version_name\": version.get(\"version_name\"),\n    }\n\n\ndef update_version_status_impl(\n    agent_id: int,\n    tenant_id: str,\n    user_id: str,\n    version_no: int,\n    status: str,\n) -> dict:\n    \"\"\"\n    Update version status (DISABLED / ARCHIVED)\n    \"\"\"\n    valid_statuses = [STATUS_DISABLED, STATUS_ARCHIVED]\n    if status not in valid_statuses:\n        raise ValueError(f\"Invalid status. Must be one of: {valid_statuses}\")\n\n    rows_affected = update_version_status(\n        agent_id=agent_id,\n        tenant_id=tenant_id,\n        version_no=version_no,\n        status=status,\n        updated_by=user_id,\n    )\n\n    if rows_affected == 0:\n        raise ValueError(f\"Version {version_no} not found\")\n\n    return {\"message\": \"Status updated successfully\"}\n\n\ndef update_version_impl(\n    agent_id: int,\n    tenant_id: str,\n    user_id: str,\n    version_no: int,\n    version_name: Optional[str] = None,\n    release_note: Optional[str] = None,\n) -> dict:\n    \"\"\"\n    Update version metadata (version_name and release_note)\n    \"\"\"\n    # Check if version exists\n    version = search_version_by_version_no(agent_id, tenant_id, version_no)\n    if not version:\n        raise ValueError(f\"Version {version_no} not found\")\n\n    rows_affected = update_version(\n        agent_id=agent_id,\n        tenant_id=tenant_id,\n        version_no=version_no,\n        version_name=version_name,\n        release_note=release_note,\n        updated_by=user_id,\n    )\n\n    if rows_affected == 0:\n        raise ValueError(\"No changes to update\")\n\n    return {\n        \"message\": \"Version updated successfully\",\n        \"version_no\": version_no,\n    }\n\n\ndef delete_version_impl(\n    agent_id: int,\n    tenant_id: str,\n    user_id: str,\n    version_no: int,\n) -> dict:\n    \"\"\"\n    Soft delete a version by setting delete_flag='Y'\n    Also soft deletes all related snapshot data (agent, tools, relations) for this version\n    \"\"\"\n    # Check if version exists\n    version = search_version_by_version_no(agent_id, tenant_id, version_no)\n    if not version:\n        raise ValueError(f\"Version {version_no} not found\")\n\n    # Prevent deleting the current published version\n    current_version_no = query_current_version_no(agent_id, tenant_id)\n    if current_version_no == version_no:\n        raise ValueError(\"Cannot delete the current published version\")\n\n    # Prevent deleting draft version (version_no=0)\n    if version_no == 0:\n        raise ValueError(\"Cannot delete draft version\")\n\n    # Soft delete version metadata\n    rows_affected = delete_version(\n        agent_id=agent_id,\n        tenant_id=tenant_id,\n        version_no=version_no,\n        deleted_by=user_id,\n    )\n\n    if rows_affected == 0:\n        raise ValueError(f\"Version {version_no} not found\")\n\n    # Soft delete all related snapshot data for this version\n    # 1. Delete agent snapshot\n    delete_agent_snapshot(\n        agent_id=agent_id,\n        tenant_id=tenant_id,\n        version_no=version_no,\n        deleted_by=user_id,\n    )\n\n    # 2. Delete tool snapshots\n    delete_tool_snapshot(\n        agent_id=agent_id,\n        tenant_id=tenant_id,\n        version_no=version_no,\n        deleted_by=user_id,\n    )\n\n    # 3. Delete relation snapshots\n    delete_relation_snapshot(\n        agent_id=agent_id,\n        tenant_id=tenant_id,\n        version_no=version_no,\n        deleted_by=user_id,\n    )\n\n    logger.info(f\"Successfully deleted version {version_no} and all related snapshots for agent_id={agent_id}, tenant_id={tenant_id}\")\n\n    return {\"message\": f\"Version {version_no} deleted successfully\"}\n\n\ndef get_current_version_impl(\n    agent_id: int,\n    tenant_id: str,\n) -> dict:\n    \"\"\"\n    Get current published version\n    \"\"\"\n    current_version_no = query_current_version_no(agent_id, tenant_id)\n    if current_version_no is None:\n        raise ValueError(\"No published version\")\n\n    version = search_version_by_version_no(agent_id, tenant_id, current_version_no)\n    if not version:\n        raise ValueError(f\"Version {current_version_no} not found\")\n\n    return {\n        \"version_no\": current_version_no,\n        \"version_name\": version.get('version_name'),\n        \"status\": version.get('status'),\n        \"source_type\": version.get('source_type'),\n        \"source_version_no\": version.get('source_version_no'),\n        \"release_note\": version.get('release_note'),\n        \"created_by\": version.get('created_by'),\n        \"create_time\": version.get('create_time'),\n    }\n\n\ndef compare_versions_impl(\n    agent_id: int,\n    tenant_id: str,\n    version_no_a: int,\n    version_no_b: int,\n) -> dict:\n    \"\"\"\n    Compare two versions and return their differences.\n    Returns detailed comparison data for both versions.\n    Handles version 0 as draft data.\n    \"\"\"\n    # Get version A detail (handles version 0 as draft)\n    version_a = _get_version_detail_or_draft(agent_id, tenant_id, version_no_a)\n    # Get version B detail (handles version 0 as draft)\n    version_b = _get_version_detail_or_draft(agent_id, tenant_id, version_no_b)\n\n    # Calculate differences\n    differences = []\n\n    # Compare name\n    if version_a.get('name') != version_b.get('name'):\n        differences.append({\n            'field': 'name',\n            'label': 'Name',\n            'value_a': version_a.get('name'),\n            'value_b': version_b.get('name'),\n        })\n\n    # Compare model_name\n    if version_a.get('model_name') != version_b.get('model_name'):\n        differences.append({\n            'field': 'model_name',\n            'label': 'Model',\n            'value_a': version_a.get('model_name'),\n            'value_b': version_b.get('model_name'),\n        })\n\n    # Compare max_steps\n    if version_a.get('max_steps') != version_b.get('max_steps'):\n        differences.append({\n            'field': 'max_steps',\n            'label': 'Max Steps',\n            'value_a': version_a.get('max_steps'),\n            'value_b': version_b.get('max_steps'),\n        })\n\n    # Compare description\n    if version_a.get('description') != version_b.get('description'):\n        differences.append({\n            'field': 'description',\n            'label': 'Description',\n            'value_a': version_a.get('description'),\n            'value_b': version_b.get('description'),\n        })\n\n    # Compare duty_prompt\n    if version_a.get('duty_prompt') != version_b.get('duty_prompt'):\n        differences.append({\n            'field': 'duty_prompt',\n            'label': 'Duty Prompt',\n            'value_a': version_a.get('duty_prompt'),\n            'value_b': version_b.get('duty_prompt'),\n        })\n\n    # Compare tools count\n    tools_a_count = len(version_a.get('tools', []))\n    tools_b_count = len(version_b.get('tools', []))\n    if tools_a_count != tools_b_count:\n        differences.append({\n            'field': 'tools_count',\n            'label': 'Tools Count',\n            'value_a': tools_a_count,\n            'value_b': tools_b_count,\n        })\n\n    # Compare sub_agents count\n    sub_agents_a_count = len(version_a.get('sub_agent_id_list', []))\n    sub_agents_b_count = len(version_b.get('sub_agent_id_list', []))\n    if sub_agents_a_count != sub_agents_b_count:\n        differences.append({\n            'field': 'sub_agents_count',\n            'label': 'Sub Agents Count',\n            'value_a': sub_agents_a_count,\n            'value_b': sub_agents_b_count,\n        })\n\n    return {\n        'version_a': version_a,\n        'version_b': version_b,\n        'differences': differences,\n    }\n\n\ndef _get_version_detail_or_draft(\n    agent_id: int,\n    tenant_id: str,\n    version_no: int,\n) -> dict:\n    \"\"\"\n    Get version detail for published versions, or draft data for version 0.\n    Returns structured agent info similar to get_version_detail_impl.\n    \"\"\"\n    result: Dict[str, Any] = {}\n\n    if version_no == 0:\n        # Get draft data for version 0\n        agent_draft, tools_draft, relations_draft = query_agent_draft(agent_id, tenant_id)\n        if not agent_draft:\n            raise ValueError(f\"Draft version not found\")\n\n        # Copy draft data\n        for key, value in agent_draft.items():\n            if key != 'current_version_no':\n                result[key] = value\n\n        # Add tools (only enabled tools)\n        result['tools'] = [t for t in tools_draft if t.get('enabled', True)]\n        result['sub_agent_id_list'] = [r['selected_agent_id'] for r in relations_draft]\n        result['version'] = {\n            'version_name': 'Draft',\n            'version_status': 'DRAFT',\n            'release_note': '',\n            'source_type': 'DRAFT',\n            'source_version_no': 0,\n        }\n    else:\n        # Get published version detail\n        result = get_version_detail_impl(agent_id, tenant_id, version_no)\n\n    # Get model name from model_id\n    if result.get('model_id') is not None and result['model_id'] != 0:\n        model_info = get_model_by_model_id(result['model_id'])\n        result['model_name'] = model_info.get('display_name', None) if model_info else None\n    else:\n        result['model_name'] = None\n\n    # Get business logic model name\n    if result.get('business_logic_model_id') is not None and result['business_logic_model_id'] != 0:\n        business_logic_model_info = get_model_by_model_id(result['business_logic_model_id'])\n        result['business_logic_model_name'] = business_logic_model_info.get('display_name', None) if business_logic_model_info else None\n    else:\n        result['business_logic_model_name'] = None\n\n    # Convert group_ids string to list (only if it's not already a list)\n    group_ids = result.get('group_ids')\n    if group_ids is not None:\n        # If already a list, keep it as is; otherwise convert from string\n        if isinstance(group_ids, list):\n            result['group_ids'] = group_ids\n        else:\n            result['group_ids'] = convert_string_to_list(str(group_ids))\n    else:\n        result['group_ids'] = []\n\n    return result\n\n\nasync def list_published_agents_impl(\n    tenant_id: str,\n    user_id: str,\n) -> list[dict]:\n    \"\"\"\n    List all published agents with their current published version information.\n    1. Query all agents with version_no=0 (draft versions)\n    2. For each agent with current_version_no > 0, get the published version snapshot\n    3. Return the list of published agents\n\n    Args:\n        tenant_id (str): Tenant ID\n        user_id (str): User ID (for permission calculation and filtering)\n\n    Returns:\n        list[dict]: List of published agent info\n    \"\"\"\n    try:\n        from database.agent_db import (\n            query_all_agent_info_by_tenant_id,\n        )\n        from services.agent_service import (\n            CAN_EDIT_ALL_USER_ROLES,\n            get_user_tenant_by_user_id,\n            query_group_ids_by_user,\n            PERMISSION_EDIT,\n            PERMISSION_READ,\n            get_model_by_model_id,\n            check_agent_availability,\n            _apply_duplicate_name_availability_rules,\n        )\n        from database.agent_version_db import query_agent_snapshot\n\n        # Get user role for permission check\n        user_tenant_record = get_user_tenant_by_user_id(user_id) or {}\n        user_role = str(user_tenant_record.get(\"user_role\") or \"\").upper()\n        can_edit_all = user_role in CAN_EDIT_ALL_USER_ROLES\n\n        # Get user's group IDs for filtering\n        user_group_ids: set[int] = set()\n        if not can_edit_all:\n            try:\n                user_group_ids = set(query_group_ids_by_user(user_id) or [])\n            except Exception as e:\n                logger.warning(\n                    f\"Failed to query user group ids for filtering: user_id={user_id}, err={str(e)}\"\n                )\n                user_group_ids = set()\n\n        # Get all draft agents (version_no=0)\n        agent_list = query_all_agent_info_by_tenant_id(tenant_id=tenant_id)\n\n        model_cache: Dict[int, Optional[dict]] = {}\n        enriched_agents: list[dict] = []\n\n        for agent in agent_list:\n            # Filter out disabled agents\n            if not agent.get(\"enabled\"):\n                continue\n\n            # Apply visibility filter for DEV/USER based on group overlap\n            if not can_edit_all:\n                agent_group_ids = set(convert_string_to_list(agent.get(\"group_ids\")))\n                if len(user_group_ids.intersection(agent_group_ids)) == 0:\n                    continue\n\n            agent_id = agent.get(\"agent_id\")\n            current_version_no = agent.get(\"current_version_no\")\n\n            # Only include agents that have a published version (current_version_no > 0)\n            if not current_version_no or current_version_no <= 0:\n                continue\n\n            # Get the published version snapshot\n            agent_snapshot, tools_snapshot, relations_snapshot = query_agent_snapshot(\n                agent_id=agent_id,\n                tenant_id=tenant_id,\n                version_no=current_version_no,\n            )\n\n            if not agent_snapshot:\n                logger.warning(\n                    f\"Published version snapshot not found for agent_id={agent_id}, version_no={current_version_no}\"\n                )\n                continue\n\n            # Build the agent info from snapshot\n            agent_info: Dict[str, Any] = {}\n\n            # Copy all fields from snapshot (excluding current_version_no as it's not meaningful for version)\n            for key, value in agent_snapshot.items():\n                if key != 'current_version_no':\n                    agent_info[key] = value\n\n            # Add tools\n            agent_info['tools'] = tools_snapshot\n\n            # Extract sub_agent_id_list from relations\n            agent_info['sub_agent_id_list'] = [r['selected_agent_id'] for r in relations_snapshot]\n\n            # Add published version info\n            agent_info['published_version_no'] = current_version_no\n\n            # Check agent availability using the shared function\n            _, unavailable_reasons = check_agent_availability(\n                agent_id=agent_id,\n                tenant_id=tenant_id,\n                agent_info=agent_info,\n                model_cache=model_cache\n            )\n\n            # Preserve the raw data so we can adjust availability for duplicates\n            enriched_agents.append({\n                \"raw_agent\": agent_info,\n                \"unavailable_reasons\": unavailable_reasons,\n            })\n\n        # Handle duplicate name/display_name: keep the earliest created agent available,\n        # mark later ones as unavailable due to duplication.\n        _apply_duplicate_name_availability_rules(enriched_agents)\n\n        # Build the final simple agent list\n        simple_agent_list: list[dict] = []\n        for entry in enriched_agents:\n            agent = entry[\"raw_agent\"]\n            unavailable_reasons = list(dict.fromkeys(entry[\"unavailable_reasons\"]))\n\n            model_id = agent.get(\"model_id\")\n            model_info = None\n            if model_id is not None:\n                if model_id not in model_cache:\n                    model_cache[model_id] = get_model_by_model_id(model_id, tenant_id)\n                model_info = model_cache.get(model_id)\n\n            permission = PERMISSION_EDIT if can_edit_all or str(agent.get(\"created_by\")) == str(user_id) else PERMISSION_READ\n\n            simple_agent_list.append({\n                \"agent_id\": agent.get(\"agent_id\"),\n                \"name\": agent.get(\"name\") if agent.get(\"name\") else agent.get(\"display_name\"),\n                \"display_name\": agent.get(\"display_name\") if agent.get(\"display_name\") else agent.get(\"name\"),\n                \"description\": agent.get(\"description\"),\n                \"author\": agent.get(\"author\"),\n                \"model_id\": model_id,\n                \"model_name\": model_info.get(\"model_name\") if model_info is not None else agent.get(\"model_name\"),\n                \"model_display_name\": model_info.get(\"display_name\") if model_info is not None else None,\n                \"is_available\": len(unavailable_reasons) == 0,\n                \"unavailable_reasons\": unavailable_reasons,\n                \"is_new\": agent.get(\"is_new\", False),\n                \"group_ids\": agent.get(\"group_ids\", []),\n                \"permission\": permission,\n                \"published_version_no\": agent.get(\"published_version_no\"),\n            })\n\n        return simple_agent_list\n\n    except Exception as e:\n        logger.error(f\"Failed to list published agents: {str(e)}\")\n        raise ValueError(f\"Failed to list published agents: {str(e)}\")\n"
  },
  {
    "path": "backend/services/config_sync_service.py",
    "content": "import logging\nfrom typing import Optional, Any\n\nfrom consts.const import (\n    APP_DESCRIPTION,\n    APP_NAME,\n    AVATAR_URI,\n    CUSTOM_ICON_URL,\n    DATAMATE_URL,\n    DEFAULT_APP_DESCRIPTION_EN,\n    DEFAULT_APP_DESCRIPTION_ZH,\n    DEFAULT_APP_NAME_EN,\n    DEFAULT_APP_NAME_ZH,\n    DEFAULT_GROUP_ID,\n    ICON_TYPE,\n    ICON_KEY,\n    LANGUAGE,\n    MODEL_CONFIG_MAPPING,\n    LANGUAGE,\n    MODEL_ENGINE_ENABLED,\n    TENANT_NAME\n)\nfrom database.model_management_db import get_model_id_by_display_name\nfrom utils.config_utils import (\n    get_env_key,\n    get_model_name_from_config,\n    safe_value,\n    tenant_config_manager\n)\n\nlogger = logging.getLogger(\"config_sync_service\")\n\n\ndef handle_model_config(tenant_id: str, user_id: str, config_key: str, model_id: Optional[int], tenant_config_dict: dict) -> None:\n    \"\"\"\n    Handle model configuration updates, deletions, and settings operations\n\n    Args:\n        tenant_id: Tenant ID\n        user_id: User ID\n        config_key: Configuration key name\n        model_id: Model ID\n        tenant_config_dict: Tenant configuration dictionary\n    \"\"\"\n    # Delete the config if the model_id is None\n    if model_id is None:\n        if config_key in tenant_config_dict:\n            tenant_config_manager.delete_single_config(tenant_id, config_key)\n        return\n\n    # If the config key does not exist, set directly\n    if config_key not in tenant_config_dict:\n        tenant_config_manager.set_single_config(\n            user_id, tenant_id, config_key, model_id)\n        return\n\n    current_model_id = tenant_config_dict.get(config_key)\n    current_model_id = int(current_model_id) if str(\n        current_model_id).isdigit() else None\n\n    if current_model_id == model_id:\n        tenant_config_manager.update_single_config(tenant_id, config_key)\n        return\n\n    # Delete the config first, then set the new value\n    tenant_config_manager.delete_single_config(tenant_id, config_key)\n    tenant_config_manager.set_single_config(\n        user_id, tenant_id, config_key, model_id)\n\n\nasync def save_config_impl(config, tenant_id, user_id):\n    config_dict = config.model_dump(exclude_none=False)\n    env_config = {}\n    tenant_config_dict = tenant_config_manager.load_config(tenant_id)\n    # Process app configuration - use key names directly without prefix\n    for key, value in config_dict.get(\"app\", {}).items():\n        env_key = get_env_key(key)\n        env_config[env_key] = safe_value(value)\n\n        # Check if the key exists and has the same value in tenant_config_dict\n        if env_key in tenant_config_dict and tenant_config_dict[env_key] == safe_value(value):\n            tenant_config_manager.update_single_config(tenant_id, env_key)\n        elif env_key in tenant_config_dict and env_config[env_key] == '':\n            tenant_config_manager.delete_single_config(tenant_id, env_key)\n        elif env_key in tenant_config_dict:\n            tenant_config_manager.delete_single_config(tenant_id, env_key)\n            tenant_config_manager.set_single_config(\n                user_id, tenant_id, env_key, safe_value(value))\n        else:\n            # Save configuration for all app config keys, including datamateUrl\n            tenant_config_manager.set_single_config(\n                user_id, tenant_id, env_key, safe_value(value))\n    # Process model configuration\n    for model_type, model_config in config_dict.get(\"models\", {}).items():\n        if not model_config:\n            continue\n\n        model_display_name = model_config.get(\"displayName\")\n\n        config_key = get_env_key(model_type) + \"_ID\"\n        model_id = get_model_id_by_display_name(\n            model_display_name, tenant_id)\n\n        handle_model_config(tenant_id, user_id, config_key,\n                            model_id, tenant_config_dict)\n\n        model_prefix = get_env_key(model_type)\n\n        # Still keep EMBEDDING_API_KEY in env\n        if model_type == \"embedding\":\n            if model_config and \"apiConfig\" in model_config:\n                embedding_api_config = model_config.get(\"apiConfig\", {})\n                env_config[f\"{model_prefix}_API_KEY\"] = safe_value(\n                    embedding_api_config.get(\"apiKey\"))\n    logger.info(\"Configuration saved successfully\")\n\n\nasync def load_config_impl(language: str, tenant_id: str):\n    try:\n        config = {\n            \"app\": build_app_config(language, tenant_id),\n            \"models\": build_models_config(tenant_id)\n        }\n        return config\n    except Exception as e:\n        logger.error(f\"Failed to load config for tenant {tenant_id}: {e}\")\n        raise Exception(f\"Failed to load config for tenant {tenant_id}.\")\n\n\ndef build_app_config(language: str, tenant_id: str) -> dict:\n    default_app_name = DEFAULT_APP_NAME_ZH if language == LANGUAGE[\"ZH\"] else DEFAULT_APP_NAME_EN\n    default_app_description = DEFAULT_APP_DESCRIPTION_ZH if language == LANGUAGE[\n        \"ZH\"] else DEFAULT_APP_DESCRIPTION_EN\n\n    return {\n        \"name\": tenant_config_manager.get_app_config(APP_NAME, tenant_id=tenant_id) or default_app_name,\n        \"description\": tenant_config_manager.get_app_config(APP_DESCRIPTION,\n                                                            tenant_id=tenant_id) or default_app_description,\n        \"tenantName\": tenant_config_manager.get_app_config(TENANT_NAME, tenant_id=tenant_id) or \"\",\n        \"defaultGroupId\": tenant_config_manager.get_app_config(DEFAULT_GROUP_ID, tenant_id=tenant_id) or \"\",\n        \"icon\": {\n            \"type\": tenant_config_manager.get_app_config(ICON_TYPE, tenant_id=tenant_id) or \"preset\",\n            \"iconKey\": tenant_config_manager.get_app_config(ICON_KEY, tenant_id=tenant_id) or \"search\",\n            \"avatarUri\": tenant_config_manager.get_app_config(AVATAR_URI, tenant_id=tenant_id) or \"\",\n            \"customUrl\": tenant_config_manager.get_app_config(CUSTOM_ICON_URL, tenant_id=tenant_id) or \"\"\n        },\n        \"datamateUrl\": tenant_config_manager.get_app_config(DATAMATE_URL, tenant_id=tenant_id) or \"\",\n        \"modelEngineEnabled\": str(MODEL_ENGINE_ENABLED).lower() == \"true\"\n        }\n\n\ndef build_models_config(tenant_id: str) -> dict:\n    models_config = {}\n\n    for model_key, config_key in MODEL_CONFIG_MAPPING.items():\n        try:\n            model_config = tenant_config_manager.get_model_config(\n                config_key, tenant_id=tenant_id)\n            models_config[model_key] = build_model_config(model_config)\n        except Exception as e:\n            logger.warning(f\"Failed to get config for {config_key}: {e}\")\n            models_config[model_key] = build_model_config({})\n\n    return models_config\n\n\ndef build_model_config(model_config: dict) -> dict:\n    if not model_config:\n        return {\n            \"name\": \"\",\n            \"displayName\": \"\",\n            \"apiConfig\": {\n                \"apiKey\": \"\",\n                \"modelUrl\": \"\"\n            }\n        }\n\n    config = {\n        \"name\": get_model_name_from_config(model_config) if model_config else \"\",\n        \"displayName\": model_config.get(\"display_name\", \"\"),\n        \"apiConfig\": {\n            \"apiKey\": model_config.get(\"api_key\", \"\"),\n            \"modelUrl\": model_config.get(\"base_url\", \"\")\n        }\n    }\n\n    if \"embedding\" in model_config.get(\"model_type\", \"\"):\n        config[\"dimension\"] = model_config.get(\"max_tokens\", 0)\n\n    return config\n"
  },
  {
    "path": "backend/services/conversation_management_service.py",
    "content": "import asyncio\nimport json\nimport logging\nfrom datetime import datetime\nfrom typing import Any, Dict, List, Optional\n\nfrom jinja2 import StrictUndefined, Template\n\nfrom consts.const import LANGUAGE, MODEL_CONFIG_MAPPING, MESSAGE_ROLE, DEFAULT_EN_TITLE, DEFAULT_ZH_TITLE\nfrom consts.model import AgentRequest, ConversationResponse, MessageRequest, MessageUnit\nfrom database.conversation_db import (\n    create_conversation,\n    create_conversation_message,\n    create_message_units,\n    create_source_image,\n    create_source_search,\n    delete_conversation,\n    get_conversation,\n    get_conversation_history,\n    get_conversation_list,\n    get_message_id_by_index,\n    get_source_images_by_conversation,\n    get_source_images_by_message,\n    get_source_searches_by_conversation,\n    get_source_searches_by_message,\n    rename_conversation,\n    update_message_opinion\n)\nfrom nexent.core.utils.observer import MessageObserver, ProcessType\nfrom nexent.core.models import OpenAIModel\nfrom utils.config_utils import get_model_name_from_config, tenant_config_manager\nfrom utils.prompt_template_utils import get_generate_title_prompt_template\nfrom utils.str_utils import remove_think_blocks\n\nlogger = logging.getLogger(\"conversation_management_service\")\n\n\ndef save_message(request: MessageRequest, user_id: str, tenant_id: str):\n    \"\"\"\n    Save a new message record\n\n    Args:\n        request: MessageRequest object containing:\n            - conversation_id: Required, conversation ID\n            - message_idx: Message index (integer type)\n            - role: Message role\n            - message: List of message units\n            - minio_files: List of object_names for files stored in minio\n        authorization: Authorization header\n\n    Returns:\n        ConversationResponse object:\n            - code: 0 indicates success\n            - data: true indicates successful save\n            - message: \"success\" success message\n    \"\"\"\n    try:\n        if tenant_id is None or user_id is None:\n            logging.warning(\"Missing tenant_id or user_id to save message\")\n        message_data = request.model_dump()\n\n        # Validate conversation_id\n        conversation_id = message_data.get('conversation_id')\n        if not conversation_id:\n            raise Exception(\"conversation_id is required, please call /conversation/create to create a conversation first\")\n\n        # Process different types of message units\n        message_units = message_data['message']\n\n        # Filter specific message units\n        string_content = None\n        other_units = []\n\n        # First pass: Separate string/final_answer and other types\n        for unit in message_units:\n            unit_type = unit['type']\n            unit_content = unit['content']\n\n            if unit_type in ['string', 'final_answer']:\n                string_content = unit_content\n            else:\n                other_units.append(unit)\n\n        # Initialize message record data\n        message_id = None\n        minio_files = message_data.get('minio_files')\n\n        # Process string/final_answer type, create message record\n        if string_content is not None:\n            message_data_copy = {'conversation_id': conversation_id, 'message_idx': message_data['message_idx'],\n                                 'role': message_data['role'], 'content': string_content, 'minio_files': minio_files}\n            message_id = create_conversation_message(\n                message_data_copy, user_id)\n\n        # If there are other types of units but no string type, create an empty content message for them\n        if other_units and message_id is None:\n            message_data_copy = {'conversation_id': conversation_id, 'message_idx': message_data['message_idx'],\n                                 # Empty content\n                                 'role': message_data['role'], 'content': \"\",\n                                 'minio_files': minio_files}\n            message_id = create_conversation_message(\n                message_data_copy, user_id)\n\n        # Process other types of units\n        filtered_message_units = []\n        search_content_units = []\n\n        for unit in other_units:\n            unit_type = unit['type']\n            unit_content = unit['content']\n\n            if unit_type == 'search_content':\n                # Create a placeholder for the search content and process it later\n                search_content_units.append(unit_content)\n                filtered_message_units.append({\n                    'type': 'search_content_placeholder',\n                    'content': '{\"placeholder\": true}'\n                })\n            elif unit_type == 'picture_web':\n                # Process image content, save as source_image, do not add to filtered_message_units\n                try:\n                    # Parse image URL list\n                    content_json = json.loads(unit_content)\n                    if isinstance(content_json, dict) and 'images_url' in content_json:\n                        for image_url in content_json['images_url']:\n                            image_data = {'message_id': message_id, 'conversation_id': conversation_id,\n                                          'image_url': image_url}\n                            create_source_image(image_data)\n                except Exception as e:\n                    logging.error(f\"Failed to save image content: {str(e)}\")\n            else:\n                # Keep other types of message units\n                filtered_message_units.append(unit)\n\n        # Create message unit records and get unit_ids\n        unit_ids = []\n        if filtered_message_units and message_id is not None:\n            unit_ids = create_message_units(\n                filtered_message_units, message_id, conversation_id)\n\n        # Process search content using corresponding unit_ids\n        search_placeholder_index = 0\n        for search_content in search_content_units:\n            try:\n                # Find the unit_id for this search content placeholder\n                placeholder_unit_id = None\n                current_index = 0\n                for i, unit in enumerate(filtered_message_units):\n                    if unit['type'] == 'search_content_placeholder':\n                        if current_index == search_placeholder_index:\n                            placeholder_unit_id = unit_ids[i]\n                            break\n                        current_index += 1\n\n                if placeholder_unit_id is None:\n                    logging.error(\n                        \"Could not find unit_id for search content placeholder\")\n                    continue\n\n                # Parse search content\n                search_results = json.loads(search_content)\n\n                # Ensure search_results is a list\n                if not isinstance(search_results, list):\n                    search_results = [search_results]\n\n                # Iterate through each search result and save separately\n                for result in search_results:\n                    search_data = {'message_id': message_id, 'conversation_id': conversation_id,\n                                   'unit_id': placeholder_unit_id,  # Use the placeholder's unit_id\n                                   'source_type': result.get('source_type', ''), 'source_title': result.get('title', ''),\n                                   'source_location': result.get('url', ''), 'source_content': result.get('text', ''),\n                                   'score_overall': float(result.get('score')) if result.get('score') and result.get(\n                                       'score') != '' else None,\n                                   'score_accuracy': float(result.get('score_details', {}).get('accuracy')) if result.get(\n                                       'score_details', {}).get('accuracy') and result.get('score_details', {}).get(\n                                       'accuracy') != '' else None,\n                                   'score_semantic': float(result.get('score_details', {}).get('semantic')) if result.get(\n                                       'score_details', {}).get('semantic') and result.get('score_details', {}).get(\n                                       'semantic') != '' else None,\n                                   'published_date': result.get('published_date') if result.get(\n                                       'published_date') and result.get('published_date') != '' else None,\n                                   'cite_index': result.get('cite_index', None) if result.get('cite_index') != '' else None,\n                                   'search_type': result.get('search_type') if result.get('search_type') and result.get(\n                                       'search_type') != '' else None, 'tool_sign': result.get('tool_sign', '')}\n                    create_source_search(search_data, user_id)\n\n                search_placeholder_index += 1\n\n            except Exception as e:\n                logging.error(f\"Failed to save search content: {str(e)}\")\n                search_placeholder_index += 1\n\n        return ConversationResponse(code=0, message=\"success\", data=True)\n\n    except Exception as e:\n        logging.error(f\"Failed to save message: {str(e)}\")\n        raise Exception(str(e))\n\n\ndef save_conversation_user(request: AgentRequest, user_id: str, tenant_id: str):\n    user_role_count = sum(1 for item in getattr(\n        request, \"history\", []) if item.get(\"role\") == MESSAGE_ROLE[\"USER\"])\n\n    conversation_req = MessageRequest(conversation_id=request.conversation_id, message_idx=user_role_count * 2,\n                                      role=MESSAGE_ROLE[\"USER\"], message=[MessageUnit(type=\"string\", content=request.query)], minio_files=request.minio_files)\n    save_message(conversation_req, user_id=user_id, tenant_id=tenant_id)\n\n\ndef save_conversation_assistant(request: AgentRequest, messages: List[str], user_id: str, tenant_id: str):\n    user_role_count = sum(1 for item in getattr(\n        request, \"history\", []) if item.get(\"role\") == MESSAGE_ROLE[\"USER\"])\n\n    message_list = []\n    for item in messages:\n        message = json.loads(item)\n        if (len(message_list) and\n            message.get(\"type\") in [ProcessType.MODEL_OUTPUT_CODE.value, ProcessType.MODEL_OUTPUT_THINKING.value] and\n                message.get(\"type\") == message_list[-1].get(\"type\")):\n            message_list[-1][\"content\"] += message[\"content\"]\n        else:\n            message_list.append(message)\n\n    conversation_req = MessageRequest(conversation_id=request.conversation_id, message_idx=user_role_count * 2 + 1,\n                                      role=MESSAGE_ROLE[\"ASSISTANT\"], message=message_list, minio_files=request.minio_files)\n    save_message(conversation_req, user_id=user_id, tenant_id=tenant_id)\n\n\ndef call_llm_for_title(question: str, tenant_id: str, language: str = LANGUAGE[\"ZH\"]) -> str:\n    \"\"\"\n    Call LLM to generate a title from a user question\n\n    Args:\n        question: User's question content\n        tenant_id: Tenant ID\n        language: Language code ('zh' for Chinese, 'en' for English)\n\n    Returns:\n        str: Generated title\n    \"\"\"\n    prompt_template = get_generate_title_prompt_template(language=language)\n\n    model_config = tenant_config_manager.get_model_config(\n        key=MODEL_CONFIG_MAPPING[\"llm\"], tenant_id=tenant_id)\n\n    # Create OpenAIModel instance\n    llm = OpenAIModel(\n        model_id=get_model_name_from_config(model_config) if model_config.get(\"model_name\") else \"\",\n        api_base=model_config.get(\"base_url\", \"\"),\n        api_key=model_config.get(\"api_key\", \"\"),\n        temperature=0.7,\n        top_p=0.95,\n        model_factory=model_config.get(\"model_factory\", None),\n        ssl_verify=model_config.get(\"ssl_verify\", True)\n    )\n\n    # Build messages - use new template variable 'question' instead of 'content'\n    user_prompt = Template(prompt_template[\"USER_PROMPT\"], undefined=StrictUndefined).render({\n        \"question\": question\n    })\n    messages = [{\"role\": MESSAGE_ROLE[\"SYSTEM\"],\n                 \"content\": prompt_template[\"SYSTEM_PROMPT\"]},\n                {\"role\": MESSAGE_ROLE[\"USER\"],\n                 \"content\": user_prompt}]\n\n    # ModelEngine accepts role/content in a simple structure, ensure flattening before passing\n    if model_config.get(\"model_factory\", \"\").lower() == \"modelengine\":\n        messages = [{\"role\": msg[\"role\"], \"content\": str(msg.get(\"content\", \"\"))} for msg in messages]\n\n    # Call the model\n    response = llm.generate(messages)\n    if not response or not response.content or not response.content.strip():\n        return DEFAULT_EN_TITLE if language == LANGUAGE[\"EN\"] else DEFAULT_ZH_TITLE\n    return remove_think_blocks(response.content.strip())\n\n\ndef update_conversation_title(conversation_id: int, title: str, user_id: str = None) -> bool:\n    \"\"\"\n    Update conversation title\n\n    Args:\n        conversation_id: Conversation ID\n        title: New title\n        user_id: Reserved parameter, user ID\n    Returns:\n        bool: Whether the update was successful\n    \"\"\"\n    success = rename_conversation(conversation_id, title, user_id)\n    if not success:\n        raise Exception(f\"Conversation {conversation_id} does not exist or has been deleted\")\n    return success\n\n\ndef create_new_conversation(title: str, user_id: str) -> Dict[str, Any]:\n    \"\"\"\n    Create a new conversation\n\n    Args:\n        title: Conversation title\n        user_id: User ID\n\n    Returns:\n        Dict containing conversation data\n    \"\"\"\n    try:\n        conversation_data = create_conversation(title, user_id)\n        return conversation_data\n    except Exception as e:\n        logging.error(f\"Failed to create conversation: {str(e)}\")\n        raise Exception(str(e))\n\n\ndef get_conversation_list_service(user_id: str) -> List[Dict[str, Any]]:\n    \"\"\"\n    Get all conversation list\n\n    Returns:\n        List of conversation data\n    \"\"\"\n    try:\n        conversations = get_conversation_list(user_id)\n        return conversations\n    except Exception as e:\n        logging.error(f\"Failed to get conversation list: {str(e)}\")\n        raise Exception(str(e))\n\n\ndef rename_conversation_service(conversation_id: int, name: str, user_id: str) -> bool:\n    \"\"\"\n    Rename a conversation\n\n    Args:\n        conversation_id: Conversation ID\n        name: New conversation title\n        user_id: User ID\n\n    Returns:\n        bool: Whether the rename was successful\n    \"\"\"\n    try:\n        success = rename_conversation(conversation_id, name, user_id)\n        if not success:\n            raise Exception(f\"Conversation {conversation_id} does not exist or has been deleted\")\n        return True\n    except Exception as e:\n        logging.error(f\"Failed to rename conversation: {str(e)}\")\n        raise Exception(str(e))\n\n\ndef delete_conversation_service(conversation_id: int, user_id: str) -> bool:\n    \"\"\"\n    Delete specified conversation\n\n    Args:\n        conversation_id: Conversation ID to delete\n        user_id: User ID\n\n    Returns:\n        bool: Whether the deletion was successful\n    \"\"\"\n    try:\n        success = delete_conversation(conversation_id, user_id)\n        if not success:\n            raise Exception(f\"Conversation {conversation_id} does not exist or has been deleted\")\n        return True\n    except Exception as e:\n        logging.error(f\"Failed to delete conversation: {str(e)}\")\n        raise Exception(str(e))\n\n\ndef get_conversation_history_service(conversation_id: int, user_id: str) -> List[Dict[str, Any]]:\n    \"\"\"\n    Get complete history of specified conversation\n\n    Args:\n        conversation_id: Conversation ID\n        user_id: User ID\n\n    Returns:\n        Dict containing conversation history data\n    \"\"\"\n    try:\n        # Get original conversation history data\n        history_data = get_conversation_history(conversation_id, user_id)\n\n        if not history_data:\n            logging.debug(\n                f\"No history data found for conversation_id: {conversation_id}\")\n            return []\n\n        # Collect search content, grouped by unit_id\n        search_by_unit_id = {}\n        # Collect data for message-level search field\n        search_by_message = {}\n        for record in history_data['search_records']:\n            unit_id = record['unit_id']\n            message_id = record['message_id']\n\n            # Process published_date, ensure it's a datetime object\n            published_date = None\n            if record['published_date'] is not None:\n                if isinstance(record['published_date'], datetime):\n                    published_date = record['published_date'].strftime(\n                        \"%Y-%m-%d\")\n                elif isinstance(record['published_date'], str):\n                    published_date = record['published_date']\n\n            # Build search content\n            search_item = {\"title\": record[\"source_title\"], \"text\": record[\"source_content\"],\n                           \"source_type\": record[\"source_type\"], \"url\": record[\"source_location\"],\n                           \"filename\": record[\"source_title\"] if record[\"source_type\"] == \"file\" else None,\n                           \"published_date\": published_date, \"score\": record[\"score_overall\"],\n                           \"cite_index\": record[\"cite_index\"], \"search_type\": record[\"search_type\"],\n                           \"tool_sign\": record[\"tool_sign\"], \"score_details\": {}}\n\n            if record[\"score_accuracy\"] is not None:\n                search_item[\"score_details\"][\"accuracy\"] = record[\"score_accuracy\"]\n            if record[\"score_semantic\"] is not None:\n                search_item[\"score_details\"][\"semantic\"] = record[\"score_semantic\"]\n\n            # Group by unit_id (for frontend matching by unit_id)\n            if unit_id is not None:\n                if unit_id not in search_by_unit_id:\n                    search_by_unit_id[unit_id] = []\n                search_by_unit_id[unit_id].append(search_item)\n\n            # Group by message_id (for message-level search field)\n            if message_id not in search_by_message:\n                search_by_message[message_id] = []\n            search_by_message[message_id].append(search_item)\n\n        # Collect image content - grouped by message_id\n        image_by_message = {}\n        for record in history_data['image_records']:\n            message_id = record['message_id']\n            if message_id not in image_by_message:\n                image_by_message[message_id] = []\n            image_by_message[message_id].append(record['image_url'])\n\n        # Sort by message index and build final message list, including images and search content\n        messages = []\n\n        for msg in history_data['message_records']:\n            message_id = msg['message_id']\n            role = msg['role']\n            message_content = msg['message_content']\n            # Initialize for all message types\n            message_units = msg['units'] or []\n\n            if role == MESSAGE_ROLE[\"USER\"]:\n                # User message: directly use message_content as message field value\n                message_item = {\n                    'role': role,\n                    'message': message_content,\n                    'message_id': message_id,\n                    'opinion_flag': None\n                }\n\n                # Add minio_files field (if any)\n                if 'minio_files' in msg and msg['minio_files']:\n                    message_item['minio_files'] = msg['minio_files']\n            else:\n                # Assistant message: message is an array, need to process search_content_placeholder\n                processed_units = []\n                for unit in message_units:\n                    unit_id = unit.get('unit_id')\n                    unit_type = unit.get('unit_type')\n                    unit_content = unit.get('unit_content')\n\n                    if unit_type == 'search_content_placeholder' and unit_id:\n                        placeholder_content = {\n                            \"placeholder\": True,\n                            \"unit_id\": unit_id\n                        }\n                        processed_units.append({\n                            'type': 'search_content_placeholder',\n                            'content': json.dumps(placeholder_content, ensure_ascii=False)\n                        })\n                    else:\n                        processed_units.append({\n                            'type': unit_type,\n                            'content': unit_content\n                        })\n\n                # Add final_answer type message unit\n                processed_units.append({\n                    'type': 'final_answer',\n                    'content': message_content\n                })\n\n                message_item = {\n                    'role': role,\n                    'message': processed_units,\n                    'message_id': message_id,\n                    'opinion_flag': msg['opinion_flag']\n                }\n\n            # Add image content (if any)\n            if message_id in image_by_message:\n                message_item['picture'] = image_by_message[message_id]\n\n            # Add search content (for frontend right panel display)\n            if message_id in search_by_message:\n                message_item['search'] = search_by_message[message_id]\n\n            # Add searchByUnitId for precise matching in frontend\n            message_unit_search = {}\n            for unit_id, search_results in search_by_unit_id.items():\n                # Only include unit_id belonging to the current message\n                for unit in message_units:\n                    if unit.get('unit_id') == unit_id:\n                        message_unit_search[str(unit_id)] = search_results\n                        break\n\n            if message_unit_search:\n                message_item['searchByUnitId'] = message_unit_search\n\n            messages.append(message_item)\n\n        # Build final result\n        formatted_history = {\n            # Convert to string\n            'conversation_id': str(history_data['conversation_id']),\n            'create_time': history_data['create_time'],\n            'message': messages\n        }\n        return [formatted_history]\n\n    except Exception as e:\n        logging.error(f\"Failed to get conversation history: {str(e)}\")\n        raise Exception(str(e))\n\n\ndef get_sources_service(conversation_id: Optional[int], message_id: Optional[int], source_type: str = \"all\", user_id: str = \"\") -> Dict[str, Any]:\n    \"\"\"\n    Get message source information (images and search results)\n\n    Args:\n        conversation_id: Optional conversation ID\n        message_id: Optional message ID\n        source_type: Source type, default is \"all\", options are \"image\", \"search\", or \"all\"\n        user_id: User ID\n\n    Returns:\n        Dict containing source information\n    \"\"\"\n    try:\n        if not conversation_id and not message_id:\n            return {\n                \"code\": 400,\n                \"message\": \"Must provide conversation_id or message_id parameter\",\n                \"data\": None\n            }\n\n        # If conversation ID is provided\n        if conversation_id:\n            conversation = get_conversation(conversation_id, user_id)\n            if not conversation:\n                return {\n                    \"code\": 404,\n                    \"message\": f\"Conversation {conversation_id} does not exist\",\n                    \"data\": None\n                }\n\n        result = {\"searches\": [], \"images\": []}\n\n        # Get image sources\n        if source_type in [\"image\", \"all\"]:\n            images = []\n            if message_id:\n                image_records = get_source_images_by_message(\n                    message_id, user_id)\n            elif conversation_id:\n                image_records = get_source_images_by_conversation(\n                    conversation_id, user_id)\n\n            for image in image_records:\n                images.append(image[\"image_url\"])\n\n            result[\"images\"] = images\n\n        # Get search sources\n        if source_type in [\"search\", \"all\"]:\n            searches = []\n            search_records = []\n            if message_id:\n                search_records = get_source_searches_by_message(\n                    message_id, user_id)\n            elif conversation_id:\n                search_records = get_source_searches_by_conversation(\n                    conversation_id, user_id)\n\n            for record in search_records:\n                search_item = {\n                    \"title\": record[\"source_title\"],\n                    \"text\": record[\"source_content\"],\n                    \"source_type\": record[\"source_type\"],\n                    \"url\": record[\"source_location\"],\n                    \"filename\": record[\"source_title\"] if record[\"source_type\"] == \"file\" else None,\n                    \"published_date\": record[\"published_date\"].strftime(\"%Y-%m-%d\") if record[\n                        \"published_date\"] else None,\n                    \"score\": record[\"score_overall\"]\n                }\n\n                search_item[\"score_details\"] = {}\n                if record[\"score_accuracy\"] is not None:\n                    search_item[\"score_details\"][\"accuracy\"] = record[\"score_accuracy\"]\n                if record[\"score_semantic\"] is not None:\n                    search_item[\"score_details\"][\"semantic\"] = record[\"score_semantic\"]\n\n                if conversation_id and not message_id:\n                    search_item[\"message_id\"] = record[\"message_id\"]\n\n                searches.append(search_item)\n\n            result[\"searches\"] = searches\n\n        return {\n            \"code\": 0,\n            \"message\": \"success\",\n            \"data\": result\n        }\n\n    except Exception as e:\n        logging.error(f\"Failed to get message sources: {str(e)}\")\n        return {\n            \"code\": 500,\n            \"message\": str(e),\n            \"data\": None\n        }\n\n\nasync def generate_conversation_title_service(conversation_id: int, question: str, user_id: str, tenant_id: str, language: str = LANGUAGE[\"ZH\"]) -> str:\n    \"\"\"\n    Generate conversation title from user question\n\n    This function is called immediately after user sends a message,\n    generating title from the question instead of waiting for full conversation.\n\n    Args:\n        conversation_id: Conversation ID\n        question: User's question content\n        user_id: User ID\n        tenant_id: Tenant ID\n        language: Language code ('zh' for Chinese, 'en' for English)\n\n    Returns:\n        str: Generated title\n    \"\"\"\n    try:\n        # Call LLM to generate title from question in a separate thread to avoid blocking\n        title = await asyncio.to_thread(call_llm_for_title, question, tenant_id, language)\n\n        # Update conversation title\n        update_conversation_title(conversation_id, title, user_id)\n\n        return title\n\n    except Exception as e:\n        logging.error(f\"Failed to generate conversation title: {str(e)}\")\n        raise Exception(str(e))\n\n\ndef update_message_opinion_service(message_id: int, opinion: Optional[str]) -> bool:\n    \"\"\"\n    Update message like/dislike status\n\n    Args:\n        message_id: Message ID\n        opinion: Opinion value ('Y' or 'N' or None)\n\n    Returns:\n        bool: Whether the update was successful\n    \"\"\"\n    try:\n        success = update_message_opinion(message_id, opinion)\n        if not success:\n            raise Exception(\"Message does not exist or has been deleted\")\n        return True\n    except Exception as e:\n        logging.error(f\"Failed to update message like/dislike: {str(e)}\")\n        raise Exception(str(e))\n\n\nasync def get_message_id_by_index_impl(conversation_id: int, message_index: int) -> Optional[int]:\n    message_id = get_message_id_by_index(conversation_id, message_index)\n    if message_id is None:\n        raise Exception(\"Message not found.\")\n    return message_id\n"
  },
  {
    "path": "backend/services/data_process_service.py",
    "content": "import asyncio\nimport base64\nimport concurrent.futures\nimport io\nimport logging\nimport os\nimport shutil\nimport tempfile\nimport threading\nimport time\nimport warnings\nfrom typing import Optional, List, Dict, Any\n\nimport aiohttp\nimport redis\nimport torch\nfrom PIL import Image\nfrom celery import states, chain\nfrom transformers import CLIPProcessor, CLIPModel\nfrom nexent.data_process.core import DataProcessCore\n\nfrom consts.const import CLIP_MODEL_PATH, IMAGE_FILTER, MAX_CONCURRENT_CONVERSIONS, REDIS_BACKEND_URL, REDIS_URL\nfrom consts.exceptions import OfficeConversionException\nfrom consts.model import BatchTaskRequest\nfrom database.attachment_db import delete_file, file_exists, get_file_size_from_minio, get_file_stream, upload_file\nfrom utils.file_management_utils import convert_office_to_pdf\nfrom data_process.app import app as celery_app\nfrom data_process.tasks import process, forward\nfrom data_process.utils import get_task_info, get_all_task_ids_from_redis\n\n# Limit concurrent LibreOffice processes to avoid resource exhaustion\n_conversion_semaphore = asyncio.Semaphore(MAX_CONCURRENT_CONVERSIONS)\n\n# Configure logging\nlogger = logging.getLogger(\"data_process.service\")\n\n\nclass DataProcessService:\n    def __init__(self):\n        \"\"\"Initialize the DataProcessService\n\n        Args:\n            num_workers: Number of worker processes for data processing\n        \"\"\"\n        # Initialize components in a modular way\n        self._init_redis_client()\n\n        # Don't init clip model here, otherwise it will drastically slow down the first call from data process.\n        # self._init_clip_model()\n\n        # Suppress PIL warning about palette images\n        warnings.filterwarnings(\n            'ignore', category=UserWarning, module='PIL.Image')\n\n        self._inspector = None\n        self._inspector_last_time = 0\n        self._inspector_ttl = 60  # Inspector cache time in seconds\n        self._inspector_lock = None\n        self._inspector_lock = threading.Lock()\n\n    def _init_redis_client(self):\n        \"\"\"Initializes the Redis client and connection pool.\"\"\"\n        self.redis_pool = None\n        self.redis_client = None\n        try:\n            redis_url = REDIS_BACKEND_URL\n            if redis_url:\n                self.redis_pool = redis.ConnectionPool.from_url(\n                    redis_url,\n                    max_connections=50,\n                    decode_responses=True\n                )\n                self.redis_client = redis.Redis(\n                    connection_pool=self.redis_pool)\n                logger.info(\"Redis client initialized successfully.\")\n            else:\n                logger.warning(\n                    \"REDIS_BACKEND_URL not set, Redis client not initialized.\")\n        except Exception as e:\n            logger.error(f\"Failed to initialize Redis client: {str(e)}\")\n\n    def _init_clip_model(self):\n        \"\"\"Initializes the CLIP model and processor.\"\"\"\n        if getattr(self, 'clip_available', False):\n            return\n        self.model = None\n        self.processor = None\n        self.clip_available = False\n        try:\n            self.model = CLIPModel.from_pretrained(CLIP_MODEL_PATH)\n            self.processor = CLIPProcessor.from_pretrained(CLIP_MODEL_PATH)\n            self.clip_available = True\n            logger.info(\"CLIP model loaded successfully\")\n        except Exception as e:\n            logger.warning(\n                f\"Failed to load CLIP model, size-only filtering will be used: {str(e)}\")\n            self.clip_available = False\n\n    async def start(self):\n        \"\"\"Start the data processing service\"\"\"\n        logger.info(\"Data processing service started\")\n\n    async def stop(self):\n        \"\"\"Stop the data processing service\"\"\"\n        logger.info(\"Data processing service stopped\")\n\n    def _get_celery_inspector(self):\n        \"\"\"Get Celery inspector\"\"\"\n        with self._inspector_lock:\n            now = time.time()\n            if self._inspector and now - self._inspector_last_time < self._inspector_ttl:\n                return self._inspector\n            if not celery_app.conf.broker_url or not celery_app.conf.result_backend:\n                celery_app.conf.broker_url = REDIS_URL\n                celery_app.conf.result_backend = REDIS_BACKEND_URL\n                logger.warning(\n                    f\"Celery broker URL is not configured properly, reconfiguring to {celery_app.conf.broker_url}\")\n            try:\n                inspector = celery_app.control.inspect()\n                inspector.ping()\n                self._inspector = inspector\n                self._inspector_last_time = now\n                return inspector\n            except Exception as e:\n                self._inspector = None\n                raise Exception(\n                    f\"Failed to create inspector with celery_app: {str(e)}\")\n\n    async def get_task(self, task_id: str) -> Optional[Dict[str, Any]]:\n        \"\"\"Get task by ID (async)\"\"\"\n        return await get_task_info(task_id)\n\n    async def get_all_tasks(self, filter: bool = True) -> List[Dict[str, Any]]:\n        \"\"\"Get all tasks\n\n        Args:\n            filter: Whether to filter out useless task (i.e. process_and_forward) with no index_name and tast_name\n\n        Returns:\n            List[Dict[str, Any]]: List of all tasks\n        \"\"\"\n        all_tasks = []\n        try:\n            start_time = time.time()\n            logger.debug(\n                \"Getting inspector to check for active and reserved tasks (concurrent)\")\n            inspector = self._get_celery_inspector()\n            logger.debug(\n                f\"⏰ Inspector initialization took {time.time() - start_time}s\")\n\n            # Collect task IDs from different sources\n            task_ids = set()\n\n            def get_active():\n                return inspector.active()\n\n            def get_reserved():\n                return inspector.reserved()\n            with concurrent.futures.ThreadPoolExecutor(max_workers=2) as executor:\n                future_active = executor.submit(get_active)\n                future_reserved = executor.submit(get_reserved)\n                active_tasks_dict = future_active.result()\n                reserved_tasks_dict = future_reserved.result()\n            logger.debug(\n                f\"⏰ Get active and reserved tasks (concurrent) took {time.time() - start_time}s\")\n            if active_tasks_dict:\n                for worker, tasks in active_tasks_dict.items():\n                    for task in tasks:\n                        task_id = task.get('id')\n                        if task_id:\n                            task_ids.add(task_id)\n            if reserved_tasks_dict:\n                for worker, tasks in reserved_tasks_dict.items():\n                    for task in tasks:\n                        task_id = task.get('id')\n                        if task_id:\n                            task_ids.add(task_id)\n\n            # Currently, we don't have scheduled tasks, so skip getting scheduled tasks here\n            start_time = time.time()\n            logger.debug(\"Getting task IDs from Redis backend\")\n            # Also get task IDs from Redis backend (covers completed/failed tasks within expiry)\n            try:\n                redis_task_ids = get_all_task_ids_from_redis(self.redis_client)\n                logger.debug(\n                    f\"⏰ Get Redis task IDs took {time.time() - start_time}s\")\n                for task_id in redis_task_ids:\n                    # Add to the set, duplicates will be handled\n                    task_ids.add(task_id)\n            except Exception as redis_error:\n                logger.warning(\n                    f\"Failed to query Redis for stored task IDs: {str(redis_error)}\")\n            logger.debug(\n                f\"Total unique task IDs collected (inspector + Redis): {len(task_ids)}\")\n            tasks = [get_task_info(task_id) for task_id in task_ids]\n            all_task_infos = await asyncio.gather(*tasks, return_exceptions=True)\n            for task_info in all_task_infos:\n                if isinstance(task_info, Exception):\n                    logger.warning(\n                        f\"Failed to get status for a task: {task_info}\")\n                    continue\n                if filter and not (task_info.get('index_name') and task_info.get('task_name')):\n                    continue\n                all_tasks.append(task_info)\n            logger.debug(f\"Retrieved {len(all_tasks)} tasks.\")\n        except Exception as e:\n            logger.error(f\"Error retrieving all tasks: {str(e)}\")\n            all_tasks = []\n\n        return all_tasks\n\n    async def get_index_tasks(self, index_name: str, filter: bool = True) -> List[Dict[str, Any]]:\n        \"\"\"Get all active tasks for a specific index\n\n        Args:\n            index_name: Name of the index to filter tasks for\n\n        Returns:\n            List[Dict[str, Any]]: Tasks for the specified index\n        \"\"\"\n        task_list = await self.get_all_tasks(filter)\n        # May got multiple tasks for the same index\n        return [task for task in task_list if task.get('index_name') == index_name]\n\n    def check_image_size(self, width: int, height: int, min_width: int = 200, min_height: int = 200) -> bool:\n        \"\"\"Check if the image dimensions meet the minimum requirements\n\n        Args:\n            width: Image width\n            height: Image height\n            min_width: Minimum width requirement\n            min_height: Minimum height requirement\n\n        Returns:\n            bool: Returns True if image dimensions meet requirements, False otherwise\n        \"\"\"\n        if width < min_width or height < min_height:\n            return False\n        return True\n\n    async def load_image(self, image_url: str) -> Optional[Image.Image]:\n        \"\"\"Asynchronously load an image from URL, local file path, or base64 string\n\n        Args:\n            image_url: URL, file path, or base64 encoded image\n\n        Returns:\n            Optional[Image.Image]: PIL Image object if successful, None otherwise\n        \"\"\"\n        connector = aiohttp.TCPConnector()\n        timeout = aiohttp.ClientTimeout(total=5)\n        async with aiohttp.ClientSession(connector=connector, trust_env=True, timeout=timeout) as session:\n            return await self._load_image(session, image_url)\n\n    async def _load_image(self, session: aiohttp.ClientSession, path: str) -> Optional[Image.Image]:\n        \"\"\"Internal method to load an image from various sources\"\"\"\n        try:\n            # Check if input is base64 encoded\n            if path.startswith('data:image'):\n                # Extract the base64 data after the comma\n                base64_data = path.split(',')[1]\n                image_data = base64.b64decode(base64_data)\n                image = Image.open(io.BytesIO(image_data))\n\n                # Convert RGBA to RGB if necessary\n                if image.mode == 'RGBA':\n                    background = Image.new('RGB', image.size, (255, 255, 255))\n                    background.paste(image, mask=image.split()[3])\n                    image = background\n                elif image.mode != 'RGB':\n                    image = image.convert('RGB')\n\n                return image\n\n            # Check if the path is a local file\n            if os.path.isfile(path):\n                try:\n                    image = Image.open(path)\n\n                    # Convert RGBA to RGB if necessary\n                    if image.mode == 'RGBA':\n                        background = Image.new(\n                            'RGB', image.size, (255, 255, 255))\n                        background.paste(image, mask=image.split()[3])\n                        image = background\n                    elif image.mode != 'RGB':\n                        image = image.convert('RGB')\n\n                    return image\n                except Exception as e:\n                    logger.info(f\"Failed to load local image: {str(e)}\")\n                    return None\n\n            # If not a local file or base64, treat as URL\n            # If the file ends in SVG, filter it.\n            if path.lower().endswith('.svg'):\n                return None\n\n            async with session.get(path) as response:\n                if response.status != 200:\n                    return None\n\n                image_data = await response.read()\n\n                try:\n                    # For other formats, try direct loading\n                    image = Image.open(io.BytesIO(image_data))\n\n                    # Convert RGBA to RGB if necessary\n                    if image.mode == 'RGBA':\n                        background = Image.new(\n                            'RGB', image.size, (255, 255, 255))\n                        background.paste(image, mask=image.split()[3])\n                        image = background\n                    elif image.mode != 'RGB':\n                        image = image.convert('RGB')\n\n                    return image\n                except Exception:\n                    # If direct loading fails, try downloading to a temporary file first\n                    with tempfile.NamedTemporaryFile(suffix=os.path.splitext(path)[1], delete=False) as temp_file:\n                        temp_file.write(image_data)\n                        temp_file.flush()\n                        try:\n                            image = Image.open(temp_file.name)\n\n                            if image.mode == 'RGBA':\n                                background = Image.new(\n                                    'RGB', image.size, (255, 255, 255))\n                                background.paste(image, mask=image.split()[3])\n                                image = background\n                            elif image.mode != 'RGB':\n                                image = image.convert('RGB')\n                            return image\n                        finally:\n                            os.unlink(temp_file.name)\n\n        except Exception as e:\n            logger.info(f\"Error loading {path}: {str(e)}\")\n            return None\n\n    async def filter_important_image(self, image_url: str, positive_prompt: str = \"an important image\",\n                                     negative_prompt: str = \"an unimportant image\") -> Dict[str, Any]:\n        \"\"\"Filter whether an image is important using CLIP model\n\n        Args:\n            image_url: URL to the image\n            positive_prompt: Text describing an important image\n            negative_prompt: Text describing an unimportant image\n\n        Returns:\n            Dict[str, Any]: JSON object with is_important boolean and confidence score\n        \"\"\"\n        try:\n            # Process image from URL\n            img = await self.load_image(image_url)\n\n            if img is None or not self.check_image_size(img.width, img.height):\n                logger.info(\n                    f\"Image not loaded or does not meet minimum size requirements (200x200 pixels): {image_url}\")\n                return {\n                    \"is_important\": False,\n                    \"confidence\": 0.0,\n                    \"probabilities\": {\n                        \"positive\": 0.0,\n                        \"negative\": 0.0\n                    }\n                }\n\n            # If IMAGE_FILTER is False, or CLIP model is not available, skip CLIP calculation and return as important\n            if not IMAGE_FILTER:\n                logger.info(\n                    f\"IMAGE_FILTER is disabled, returning image as important: {image_url}\")\n                return {\n                    \"is_important\": True,\n                    \"confidence\": 1.0,\n                    \"probabilities\": {\n                        \"positive\": 1.0,\n                        \"negative\": 0.0\n                    }\n                }\n\n            # Lazy load CLIP model\n            if not self.clip_available:\n                self._init_clip_model()\n\n            if not self.clip_available:\n                logger.warning(\n                    f\"CLIP model not available, returning image as important: {image_url}\")\n                return {\n                    \"is_important\": True,\n                    \"confidence\": 1.0,\n                    \"probabilities\": {\n                        \"positive\": 1.0,\n                        \"negative\": 0.0\n                    }\n                }\n\n            # Convert RGBA to RGB if necessary\n            if img.mode == 'RGBA':\n                background = Image.new('RGB', img.size, (255, 255, 255))\n                background.paste(img, mask=img.split()[3])\n                img = background\n            elif img.mode != 'RGB':\n                img = img.convert('RGB')\n\n            # Try to use CLIP model with fallback to size-only filter\n            try:\n                # Prepare inputs for CLIP\n                inputs = self.processor(\n                    text=[negative_prompt, positive_prompt],\n                    images=img,\n                    return_tensors=\"pt\",\n                    padding=True\n                )\n\n                # Get model outputs\n                with torch.no_grad():\n                    outputs = self.model(**inputs)\n\n                # Get image-text similarity scores\n                logits_per_image = outputs.logits_per_image\n                probs = logits_per_image.softmax(dim=1)\n\n                # Extract probabilities\n                neg_prob, pos_prob = probs[0].tolist()\n\n                # Determine if image is important based on probability\n                is_important = pos_prob > 0.6 and neg_prob < 0.5\n\n                return {\n                    \"is_important\": bool(is_important),\n                    \"confidence\": float(pos_prob),\n                    \"probabilities\": {\n                        \"positive\": float(pos_prob),\n                        \"negative\": float(neg_prob)\n                    }\n                }\n            except Exception as e:\n                # CLIP model processing failed, fall back to size-only filtering\n                logger.warning(\n                    f\"CLIP processing failed, using size-only filter: {str(e)}\")\n                return {\n                    \"is_important\": True,\n                    \"confidence\": 0.8,  # Arbitrary high confidence value\n                    \"probabilities\": {\n                        \"positive\": 0.8,\n                        \"negative\": 0.2\n                    }\n                }\n\n        except Exception as e:\n            logger.error(f\"Error processing image: {str(e)}\")\n            raise Exception(f\"Error processing image: {str(e)}\")\n\n    async def create_batch_tasks_impl(self, authorization: Optional[str], request: BatchTaskRequest):\n        task_ids = []\n        # Create individual tasks for each source\n        for source_config in request.sources:\n            # Extract parameters\n            source = source_config.get('source')\n            source_type = source_config.get('source_type')\n            chunking_strategy = source_config.get('chunking_strategy')\n            index_name = source_config.get('index_name')\n            original_filename = source_config.get('original_filename')\n\n            # Validate required fields\n            if not source:\n                logger.error(\n                    f\"Missing required field 'source' in source config: {source_config}\")\n                continue\n            if not index_name:\n                logger.error(\n                    f\"Missing required field 'index_name' in source config: {source_config}\")\n                continue\n\n            # Create and submit a chain: process -> forward\n            task_chain = chain(\n                process.s(\n                    source=source,\n                    source_type=source_type,\n                    chunking_strategy=chunking_strategy,\n                    index_name=index_name,\n                    original_filename=original_filename\n                ).set(queue='process_q'),\n                forward.s(\n                    index_name=index_name,\n                    source=source,\n                    source_type=source_type,\n                    original_filename=original_filename,\n                    authorization=authorization\n                ).set(queue='forward_q')\n            )\n\n            task_result = task_chain.apply_async()\n\n            task_ids.append(task_result.id)\n            logger.debug(f\"Created task {task_result.id} for source: {source}\")\n        logger.info(\n            f\"Created {len(task_ids)} individual tasks for batch processing\")\n        return task_ids\n\n    async def convert_to_base64(self, image):\n        # Convert PIL image to base64\n        img_byte_arr = io.BytesIO()\n        image.save(img_byte_arr, format=image.format or 'JPEG')\n        img_byte_arr.seek(0)\n        # Convert to base64\n        image_data = base64.b64encode(img_byte_arr.getvalue()).decode('utf-8')\n        # Determine correct content_type\n        content_type = f\"image/{image.format.lower() if image.format else 'jpeg'}\"\n        return image_data, content_type\n\n    async def process_uploaded_text_file(self, file_content: bytes, filename: str, chunking_strategy: str = \"basic\") -> Dict[str, Any]:\n        \"\"\"Process uploaded file bytes into text/chunks using SDK DataProcessCore.\n\n        Args:\n            file_content: Raw bytes of the uploaded file\n            filename: Original filename for format detection\n            chunking_strategy: Chunking strategy name\n\n        Returns:\n            Dict[str, Any]: Processing result including text and metadata\n        \"\"\"\n        start_time = time.time()\n        logger.info(\n            f\"Processing uploaded file: {filename} using SDK DataProcessCore\")\n\n        data_processor = DataProcessCore()\n        chunks = data_processor.file_process(\n            file_data=file_content,\n            filename=filename,\n            chunking_strategy=chunking_strategy\n        )\n\n        full_text = \"\"\n        chunk_texts: List[str] = []\n        for chunk in chunks:\n            if 'content' in chunk:\n                chunk_content = chunk['content']\n                full_text += chunk_content + \"\\n\"\n                chunk_texts.append(chunk_content)\n\n        processing_time = time.time() - start_time\n        logger.info(\n            f\"Successfully processed uploaded file: {filename}, extracted {len(full_text)} characters in {processing_time:.2f}s\"\n        )\n\n        return {\n            \"success\": True,\n            \"task_id\": None,\n            \"filename\": filename,\n            \"text\": full_text.strip(),\n            \"chunks\": chunk_texts,\n            \"chunks_count\": len(chunks),\n            \"text_length\": len(full_text.strip()),\n            \"processing_time\": processing_time,\n            \"chunking_strategy\": chunking_strategy\n        }\n\n    async def convert_office_to_pdf_impl(self, object_name: str, pdf_object_name: str) -> None:\n        \"\"\"Full conversion pipeline: download → convert → upload → validate → cleanup.\n\n        All five steps run inside data-process so that LibreOffice only needs to be\n        installed in this container.\n\n        Args:\n            object_name: Source Office file path in MinIO.\n            pdf_object_name: Destination PDF path in MinIO (final, not temp).\n        \"\"\"\n        async with _conversion_semaphore:\n            temp_dir = None\n            try:\n                temp_dir = tempfile.mkdtemp(prefix='office_convert_')\n\n                # Step 1: Download original Office file from MinIO\n                original_stream = get_file_stream(object_name)\n                if original_stream is None:\n                    raise OfficeConversionException(f\"Source file not found in storage: {object_name}\")\n\n                original_filename = os.path.basename(object_name)\n                input_path = os.path.join(temp_dir, original_filename)\n                with open(input_path, 'wb') as f:\n                    while chunk := original_stream.read(8192):\n                        f.write(chunk)\n\n                # Step 2: Local conversion using LibreOffice\n                try:\n                    pdf_path = await convert_office_to_pdf(input_path, temp_dir, timeout=30)\n                except Exception as exc:\n                    raise OfficeConversionException(f\"LibreOffice conversion failed: {exc}\") from exc\n\n                # Step 3: Upload converted PDF to MinIO\n                result = upload_file(file_path=pdf_path, object_name=pdf_object_name)\n                if not result.get('success'):\n                    raise OfficeConversionException(\n                        f\"Failed to upload PDF to MinIO: {result.get('error', 'Unknown error')}\"\n                    )\n\n                # Step 4: Validate the uploaded PDF (header check + minimum size)\n                remote_size = get_file_size_from_minio(pdf_object_name)\n                if remote_size <= 0:\n                    raise OfficeConversionException(\"PDF validation failed: cannot read remote file size\")\n                if remote_size < 100:\n                    raise OfficeConversionException(\n                        f\"PDF validation failed: file too small ({remote_size} bytes)\"\n                    )\n                remote_stream = get_file_stream(pdf_object_name)\n                if remote_stream is None:\n                    raise OfficeConversionException(\"PDF validation failed: cannot read uploaded file\")\n                try:\n                    header = remote_stream.read(5)\n                finally:\n                    try:\n                        remote_stream.close()\n                    except Exception:\n                        pass\n                if not header.startswith(b'%PDF-'):\n                    raise OfficeConversionException(\"PDF validation failed: invalid PDF header\")\n\n            except OfficeConversionException:\n                # Clean up any partially-uploaded remote PDF so a future retry starts clean\n                if file_exists(pdf_object_name):\n                    delete_file(pdf_object_name)\n                raise\n            except Exception as exc:\n                raise OfficeConversionException(f\"Unexpected error during conversion: {exc}\") from exc\n            finally:\n                # Step 5: Clean up local temporary directory\n                if temp_dir and os.path.exists(temp_dir):\n                    try:\n                        shutil.rmtree(temp_dir)\n                    except Exception as cleanup_err:\n                        logger.warning(f\"Failed to cleanup temp dir '{temp_dir}': {cleanup_err}\")\n\n    def convert_celery_states_to_custom(self, process_celery_state: Optional[str], forward_celery_state: Optional[str]) -> str:\n        \"\"\"Map Celery task states to a custom frontend state string.\n\n        This implements the business logic that was previously in the app layer.\n        \"\"\"\n        if process_celery_state == states.FAILURE:\n            return \"PROCESS_FAILED\"\n        if forward_celery_state == states.FAILURE:\n            return \"FORWARD_FAILED\"\n\n        if process_celery_state == states.SUCCESS and forward_celery_state == states.SUCCESS:\n            return \"COMPLETED\"\n\n        forward_state_map = {\n            states.PENDING: \"WAIT_FOR_FORWARDING\",\n            states.STARTED: \"FORWARDING\",\n            states.SUCCESS: \"COMPLETED\",\n            states.FAILURE: \"FORWARD_FAILED\",\n        }\n        process_state_map = {\n            states.PENDING: \"WAIT_FOR_PROCESSING\",\n            states.STARTED: \"PROCESSING\",\n            states.SUCCESS: \"WAIT_FOR_FORWARDING\",\n            states.FAILURE: \"PROCESS_FAILED\",\n        }\n\n        if forward_celery_state:\n            return forward_state_map.get(forward_celery_state, \"WAIT_FOR_FORWARDING\")\n        if process_celery_state:\n            return process_state_map.get(process_celery_state, \"WAIT_FOR_PROCESSING\")\n        return \"WAIT_FOR_PROCESSING\"\n\n\n# Global instance to be shared across modules\n# This avoids creating multiple instances and loading CLIP model multiple times\n_data_process_service = None\n\n\ndef get_data_process_service():\n    \"\"\"Get or create the global DataProcessService instance (lazy initialization)\"\"\"\n    global _data_process_service\n    if _data_process_service is None:\n        _data_process_service = DataProcessService()\n    return _data_process_service\n"
  },
  {
    "path": "backend/services/datamate_service.py",
    "content": "\"\"\"\nService layer for DataMate knowledge base integration.\nHandles API calls to DataMate to fetch knowledge bases and their files.\n\nThis service layer uses the DataMate SDK client to interact with DataMate APIs.\n\"\"\"\nimport logging\nfrom typing import Dict, List, Any, Optional\nimport asyncio\n\nfrom consts.const import DATAMATE_URL\nfrom utils.config_utils import tenant_config_manager\nfrom database.knowledge_db import upsert_knowledge_record, get_knowledge_info_by_tenant_and_source, delete_knowledge_record\nfrom nexent.vector_database.datamate_core import DataMateCore\nfrom consts.const import MODEL_ENGINE_ENABLED\n\n\nlogger = logging.getLogger(\"datamate_service\")\n\n\nasync def _create_datamate_knowledge_records(knowledge_base_ids: List[str],\n                                             knowledge_base_names: List[str],\n                                             embedding_model_names: List[str],\n                                             tenant_id: str,\n                                             user_id: str) -> List[Dict[str, Any]]:\n    \"\"\"\n    Create knowledge records in local database for DataMate knowledge bases.\n\n    Args:\n        knowledge_base_ids: List of DataMate knowledge base IDs\n        knowledge_base_names: List of DataMate knowledge base names\n        embedding_model_names: List of DataMate embedding model names\n        tenant_id: Tenant ID for the knowledge records\n        user_id: User ID for the knowledge records\n\n    Returns:\n        List of created knowledge record dictionaries\n    \"\"\"\n    created_records = []\n\n    for i, kb_id in enumerate(knowledge_base_ids):\n        try:\n            knowledge_name = knowledge_base_names[i]\n\n            # Create or update knowledge record in local database\n            record_data = {\n                \"index_name\": kb_id,\n                \"knowledge_name\": knowledge_name,\n                \"knowledge_describe\": f\"DataMate knowledge base: {knowledge_name}\",\n                \"knowledge_sources\": \"datamate\",  # Mark source as datamate\n                \"tenant_id\": tenant_id,\n                \"user_id\": user_id,\n                # Use datamate as embedding model name\n                \"embedding_model_name\": embedding_model_names[i]\n            }\n\n            # Run synchronous database operation in executor to avoid blocking\n            loop = asyncio.get_event_loop()\n            created_record = await loop.run_in_executor(\n                None,\n                upsert_knowledge_record,\n                record_data\n            )\n\n            created_records.append(created_record)\n            logger.info(\n                f\"Created knowledge record for DataMate KB '{knowledge_name}': {created_record}\")\n\n        except Exception as e:\n            logger.error(\n                f\"Failed to create knowledge record for DataMate KB '{kb_id}': {str(e)}\")\n            # Continue with other knowledge bases even if one fails\n            continue\n\n    return created_records\n\n\ndef _get_datamate_core(tenant_id: str, datamate_url: Optional[str] = None) -> DataMateCore:\n    \"\"\"\n    Get DataMate core instance.\n\n    Args:\n        tenant_id: Tenant ID for configuration lookup\n        datamate_url: Optional DataMate server URL (for dynamic configuration)\n\n    Returns:\n        DataMateCore instance\n    \"\"\"\n    datamate_server_url = datamate_url if datamate_url else tenant_config_manager.get_app_config(\n        DATAMATE_URL, tenant_id=tenant_id)\n    if not datamate_server_url:\n        raise ValueError(f\"DataMate URL not configured for tenant {tenant_id}\")\n\n    # For HTTPS URLs with self-signed certificates, disable SSL verification\n    verify_ssl = not datamate_server_url.startswith(\"https://\")\n\n    return DataMateCore(base_url=datamate_server_url, verify_ssl=verify_ssl)\n\n\nasync def fetch_datamate_knowledge_base_file_list(knowledge_base_id: str, tenant_id: str) -> Dict[str, Any]:\n    \"\"\"\n    Fetch file list for a specific DataMate knowledge base.\n\n    Args:\n        knowledge_base_id: The ID of the knowledge base.\n        tenant_id: Tenant ID for configuration lookup.\n\n    Returns:\n        Dictionary containing file list with status, files array, etc.\n    \"\"\"\n    try:\n        core = _get_datamate_core(tenant_id)\n        # Run synchronous SDK call in executor to avoid blocking\n        loop = asyncio.get_event_loop()\n        files = await loop.run_in_executor(\n            None,\n            core.get_documents_detail,\n            knowledge_base_id\n        )\n\n        # Transform to match vectordatabase files endpoint format\n        return {\n            \"status\": \"success\",\n            \"files\": files\n        }\n    except Exception as e:\n        logger.error(\n            f\"Error fetching file list for knowledge base {knowledge_base_id}: {str(e)}\")\n        raise RuntimeError(\n            f\"Failed to fetch file list for knowledge base {knowledge_base_id}: {str(e)}\")\n\n\nasync def sync_datamate_knowledge_bases_and_create_records(\n    tenant_id: str,\n    user_id: str,\n    datamate_url: Optional[str] = None\n) -> Dict[str, Any]:\n    \"\"\"\n    Sync all DataMate knowledge bases and create knowledge records in local database.\n\n    Args:\n        tenant_id: Tenant ID for creating knowledge records\n        user_id: User ID for creating knowledge records\n        datamate_url: Optional DataMate server URL from request (for dynamic configuration)\n\n    Returns:\n        Dictionary containing knowledge bases list and created records.\n    \"\"\"\n    # Use provided datamate_url from request, fallback to tenant config\n    effective_datamate_url = datamate_url if datamate_url else tenant_config_manager.get_app_config(\n        DATAMATE_URL, tenant_id=tenant_id)\n\n    if not effective_datamate_url:\n        logger.warning(\n            f\"DataMate URL not configured for tenant {tenant_id}, skipping sync\")\n        return {\n            \"indices\": [],\n            \"count\": 0,\n            \"indices_info\": [],\n            \"created_records\": []\n        }\n\n    logger.info(\n        f\"Starting DataMate sync for tenant {tenant_id} using URL: {effective_datamate_url}\")\n\n    try:\n        core = _get_datamate_core(tenant_id, effective_datamate_url)\n\n        # Run synchronous SDK calls in executor to avoid blocking event loop\n        loop = asyncio.get_event_loop()\n\n        # Step 1: Get knowledge base ids\n        knowledge_base_ids = await loop.run_in_executor(\n            None,\n            core.get_user_indices\n        )\n\n        if not knowledge_base_ids:\n            return {\n                \"indices\": [],\n                \"count\": 0,\n            }\n\n        # Step 2: Get detailed information for all knowledge bases\n        details, knowledge_base_names = await loop.run_in_executor(\n            None,\n            lambda: core.get_indices_detail(knowledge_base_ids)\n        )\n\n        response = {\n            \"indices\": knowledge_base_names,\n            \"count\": len(knowledge_base_names),\n        }\n\n        embedding_model_names = [\n            detail['base_info']['embedding_model'] for detail in details.values()]\n\n        # Add indices_info for consistency with list_indices method\n        indices_info = []\n        for i, kb_id in enumerate(knowledge_base_ids):\n            if kb_id in details:\n                kb_detail = details[kb_id]\n                knowledge_base_name = knowledge_base_names[i] if i < len(\n                    knowledge_base_names) else kb_id\n                indices_info.append({\n                    \"name\": kb_id,  # Internal index name (used as ID)\n                    \"display_name\": knowledge_base_name,  # User-facing knowledge base name\n                    \"stats\": kb_detail,\n                })\n        response[\"indices_info\"] = indices_info\n\n        # Create knowledge records in local database\n        await _create_datamate_knowledge_records(\n            knowledge_base_ids, knowledge_base_names, embedding_model_names, tenant_id, user_id\n        )\n\n        # Step 3: Handle deleted knowledge bases (soft delete)\n        # Get all existing DataMate records for this tenant\n        loop = asyncio.get_event_loop()\n        existing_records = await loop.run_in_executor(\n            None,\n            get_knowledge_info_by_tenant_and_source,\n            tenant_id,\n            \"datamate\"\n        )\n\n        # Find records that exist in DB but not in API response\n        existing_index_names = {record['index_name']\n                                for record in existing_records}\n        api_index_names = set(knowledge_base_ids)\n\n        # Records to delete (exist in DB but not in API)\n        records_to_delete = existing_index_names - api_index_names\n\n        # Soft delete records that are no longer in DataMate\n        for index_name in records_to_delete:\n            try:\n                delete_result = await loop.run_in_executor(\n                    None,\n                    delete_knowledge_record,\n                    {\"index_name\": index_name, \"user_id\": user_id}\n                )\n                if delete_result:\n                    logger.info(\n                        f\"Soft deleted DataMate knowledge base record: {index_name}\")\n                else:\n                    logger.warning(\n                        f\"Failed to soft delete DataMate knowledge base record: {index_name}\")\n            except Exception as e:\n                logger.error(\n                    f\"Error soft deleting DataMate knowledge base record {index_name}: {str(e)}\")\n                # Continue with other records even if one fails\n\n        return response\n    except Exception as e:\n        logger.error(\n            f\"Error syncing DataMate knowledge bases and creating records: {str(e)}\")\n        return {\n            \"indices\": [],\n            \"count\": 0,\n        }\n\n\nasync def check_datamate_connection(\n    tenant_id: str,\n    datamate_url: Optional[str] = None\n) -> tuple:\n    \"\"\"\n    Test connection to DataMate server.\n\n    Args:\n        tenant_id: Tenant ID for configuration lookup.\n        datamate_url: Optional DataMate server URL from request (for dynamic configuration).\n\n    Returns:\n        Tuple of (is_connected: bool, error_message: str).\n        is_connected is True if connection successful, False otherwise.\n        error_message contains error details if connection failed, empty string if successful.\n    \"\"\"\n    # Check if ModelEngine is enabled\n    if str(MODEL_ENGINE_ENABLED).lower() != \"true\":\n        logger.info(\n            f\"ModelEngine is disabled (MODEL_ENGINE_ENABLED={MODEL_ENGINE_ENABLED}), skipping DataMate connection test\")\n        return (False, \"ModelEngine is disabled\")\n\n    # Use provided datamate_url from request, fallback to tenant config\n    effective_datamate_url = datamate_url if datamate_url else tenant_config_manager.get_app_config(\n        DATAMATE_URL, tenant_id=tenant_id)\n\n    if not effective_datamate_url:\n        logger.warning(\n            f\"DataMate URL not configured for tenant {tenant_id}\")\n        return (False, \"DataMate URL not configured\")\n\n    logger.info(\n        f\"Testing DataMate connection for tenant {tenant_id} using URL: {effective_datamate_url}\")\n\n    try:\n        core = _get_datamate_core(tenant_id, effective_datamate_url)\n\n        # Run synchronous SDK call in executor to avoid blocking event loop\n        loop = asyncio.get_event_loop()\n\n        # Test connection by fetching user indices\n        await loop.run_in_executor(\n            None,\n            core.get_user_indices\n        )\n\n        logger.info(\n            f\"DataMate connection test successful for tenant {tenant_id}\")\n        return (True, \"\")\n\n    except ValueError as e:\n        # Configuration error (e.g., missing DataMate URL)\n        error_msg = str(e)\n        logger.error(\n            f\"DataMate connection test failed (configuration error) for tenant {tenant_id}: {error_msg}\")\n        return (False, error_msg)\n\n    except Exception as e:\n        error_msg = str(e)\n        logger.error(\n            f\"DataMate connection test failed for tenant {tenant_id}: {error_msg}\")\n        return (False, error_msg)\n"
  },
  {
    "path": "backend/services/dify_service.py",
    "content": "\"\"\"\nDify Service Layer\nHandles API calls to Dify for knowledge base operations.\n\nThis service layer provides functionality to interact with Dify's API,\nincluding fetching datasets (knowledge bases) and transforming responses\nto DataMate-compatible format for frontend compatibility.\n\"\"\"\nimport json\nimport logging\nfrom typing import Any, Dict\n\nimport httpx\n\nfrom consts.error_code import ErrorCode\nfrom consts.exceptions import AppException\nfrom nexent.utils.http_client_manager import http_client_manager\n\nlogger = logging.getLogger(\"dify_service\")\n\n\ndef fetch_dify_datasets_impl(\n        dify_api_base: str,\n        api_key: str,\n) -> Dict[str, Any]:\n    \"\"\"\n    Fetch datasets (knowledge bases) from Dify API and transform to DataMate-compatible format.\n\n    Args:\n        dify_api_base: Dify API base URL\n        api_key: Dify API key with Bearer token\n\n    Returns:\n        Dictionary containing knowledge bases in DataMate-compatible format:\n        {\n            \"indices\": [\"dataset_id_1\", \"dataset_id_2\", ...],\n            \"count\": 2,\n            \"indices_info\": [\n                {\n                    \"name\": \"dataset_id_1\",\n                    \"display_name\": \"知识库名称\",\n                    \"stats\": {\n                        \"base_info\": {\n                            \"doc_count\": 10,\n                            \"chunk_count\": 100,\n                            \"store_size\": \"\",\n                            \"process_source\": \"Dify\",\n                            \"embedding_model\": \"\",\n                            \"embedding_dim\": 0,\n                            \"creation_date\": timestamp,\n                            \"update_date\": timestamp\n                        },\n                        \"search_performance\": {\n                            \"total_search_count\": 0,\n                            \"hit_count\": 0\n                        }\n                    }\n                },\n                ...\n            ],\n            \"pagination\": {\n                \"embedding_available\": False\n            }\n        }\n\n    Raises:\n        ValueError: If invalid parameters provided\n        Exception: If API request fails\n    \"\"\"\n    # Validate inputs\n    if not dify_api_base or not isinstance(dify_api_base, str):\n        raise AppException(\n            ErrorCode.DIFY_CONFIG_INVALID,\n            \"Dify API URL is required and must be a non-empty string\"\n        )\n\n    # Validate URL format\n    if not (dify_api_base.startswith(\"http://\") or dify_api_base.startswith(\"https://\")):\n        raise AppException(\n            ErrorCode.DIFY_CONFIG_INVALID,\n            \"Dify API URL must start with http:// or https://\"\n        )\n\n    if not api_key or not isinstance(api_key, str):\n        raise AppException(ErrorCode.DIFY_CONFIG_INVALID,\n                           \"Dify API key is required and must be a non-empty string\")\n\n    # Normalize API base URL\n    api_base = dify_api_base.rstrip(\"/\")\n\n    # Remove /v1 suffix if present to avoid URL duplication\n    # E.g., \"https://api.dify.ai/v1\" -> \"https://api.dify.ai\"\n    if api_base.endswith(\"/v1\"):\n        api_base = api_base[:-3]\n\n    # Build request URL with pagination\n    url = f\"{api_base}/v1/datasets\"\n\n    headers = {\n        \"Authorization\": f\"Bearer {api_key}\",\n        \"Content-Type\": \"application/json\"\n    }\n\n    logger.info(f\"Fetching Dify datasets from: {url}\")\n\n    try:\n        # Use shared HttpClientManager for connection pooling\n        client = http_client_manager.get_sync_client(\n            base_url=api_base,\n            timeout=10.0,\n            verify_ssl=False\n        )\n        response = client.get(url, headers=headers)\n        response.raise_for_status()\n\n        result = response.json()\n\n        # Parse Dify API response\n        datasets_data = result.get(\"data\", [])\n\n        # Transform to DataMate-compatible format\n        indices = []\n        indices_info = []\n        embedding_available = False  # Default value if no datasets or all skipped\n\n        for dataset in datasets_data:\n            dataset_id = dataset.get(\"id\", \"\")\n            dataset_name = dataset.get(\"name\", \"\")\n            document_count = dataset.get(\"document_count\", 0)\n            created_at = dataset.get(\"created_at\", 0)\n            updated_at = dataset.get(\"updated_at\", 0)\n            embedding_available = dataset.get(\"embedding_available\", False)\n\n            if not dataset_id:\n                continue\n\n            indices.append(dataset_id)\n\n            # Create indices_info entry (compatible with DataMate format)\n            indices_info.append({\n                \"name\": dataset_id,\n                \"display_name\": dataset_name,\n                \"stats\": {\n                    \"base_info\": {\n                        \"doc_count\": document_count,\n                        \"chunk_count\": 0,  # Dify doesn't provide chunk count directly\n                        \"store_size\": \"\",\n                        \"process_source\": \"Dify\",\n                        \"embedding_model\": dataset.get(\"embedding_model\", \"\"),\n                        \"embedding_dim\": 0,\n                        \"creation_date\": created_at * 1000 if created_at else 0,  # Convert to milliseconds\n                        \"update_date\": updated_at * 1000 if updated_at else 0\n                    },\n                    \"search_performance\": {\n                        \"total_search_count\": 0,\n                        \"hit_count\": 0\n                    }\n                }\n            })\n\n        return {\n            \"indices\": indices,\n            \"count\": len(indices),\n            \"indices_info\": indices_info,\n            \"pagination\": {\n                \"embedding_available\": embedding_available\n            }\n        }\n\n    except httpx.RequestError as e:\n        logger.error(f\"Dify API request failed: {str(e)}\")\n        raise AppException(ErrorCode.DIFY_CONNECTION_ERROR,\n                           f\"Dify API request failed: {str(e)}\")\n    except httpx.HTTPStatusError as e:\n        logger.error(\n            f\"Dify API HTTP error: {str(e)}, status_code: {e.response.status_code}\")\n        # Map HTTP status to specific error code\n        if e.response.status_code == 401:\n            logger.error(\"Raising DIFY_AUTH_ERROR for 401 error\")\n            raise AppException(ErrorCode.DIFY_AUTH_ERROR,\n                               f\"Dify authentication failed: {str(e)}\")\n        elif e.response.status_code == 403:\n            logger.error(\"Raising DIFY_AUTH_ERROR for 403 error\")\n            raise AppException(ErrorCode.DIFY_AUTH_ERROR,\n                               f\"Dify access forbidden: {str(e)}\")\n        elif e.response.status_code == 429:\n            logger.error(\"Raising DIFY_RATE_LIMIT for 429 error\")\n            raise AppException(ErrorCode.DIFY_RATE_LIMIT,\n                               f\"Dify API rate limit exceeded: {str(e)}\")\n        else:\n            logger.error(\n                f\"Raising DIFY_SERVICE_ERROR for status {e.response.status_code}\")\n            raise AppException(ErrorCode.DIFY_SERVICE_ERROR,\n                               f\"Dify API HTTP error {e.response.status_code}: {str(e)}\")\n    except json.JSONDecodeError as e:\n        logger.error(f\"Failed to parse Dify API response: {str(e)}\")\n        raise AppException(ErrorCode.DIFY_RESPONSE_ERROR,\n                           f\"Failed to parse Dify API response: {str(e)}\")\n    except KeyError as e:\n        logger.error(\n            f\"Unexpected Dify API response format: missing key {str(e)}\")\n        raise AppException(ErrorCode.DIFY_RESPONSE_ERROR,\n                           f\"Unexpected Dify API response format: missing key {str(e)}\")\n"
  },
  {
    "path": "backend/services/file_management_service.py",
    "content": "import asyncio\nimport hashlib\nimport logging\nimport os\nfrom io import BytesIO\nfrom pathlib import Path\nfrom typing import List, Optional, Tuple\n\nimport httpx\nfrom fastapi import UploadFile\n\nfrom consts.const import (\n    DATA_PROCESS_SERVICE,\n    FILE_PREVIEW_SIZE_LIMIT,\n    MAX_CONCURRENT_UPLOADS,\n    MODEL_CONFIG_MAPPING,\n    OFFICE_MIME_TYPES,\n    UPLOAD_FOLDER,\n)\nfrom consts.exceptions import FileTooLargeException, NotFoundException, OfficeConversionException, UnsupportedFileTypeException\nfrom database.attachment_db import (\n    copy_file,\n    delete_file,\n    file_exists,\n    get_content_type,\n    get_file_size_from_minio,\n    get_file_stream,\n    get_file_url,\n    list_files,\n    upload_fileobj,\n)\nfrom services.vectordatabase_service import ElasticSearchService, get_vector_db_core\nfrom utils.config_utils import tenant_config_manager, get_model_name_from_config\nfrom utils.file_management_utils import save_upload_file\n\nfrom nexent import MessageObserver\nfrom nexent.core.models import OpenAILongContextModel\n\n# Create upload directory\nupload_dir = Path(UPLOAD_FOLDER)\nupload_dir.mkdir(exist_ok=True)\nupload_semaphore = asyncio.Semaphore(MAX_CONCURRENT_UPLOADS)\n\n# Per-file locks prevent duplicate conversions of the same file\n_conversion_locks: dict[str, asyncio.Lock] = {}\n_conversion_locks_guard = asyncio.Lock()\n\nlogger = logging.getLogger(\"file_management_service\")\n\n\nasync def upload_files_impl(destination: str, file: List[UploadFile], folder: str = None, index_name: Optional[str] = None) -> tuple:\n    \"\"\"\n    Upload files to local storage or MinIO based on destination.\n\n    Args:\n        destination: \"local\" or \"minio\"\n        file: List of UploadFile objects\n        folder: Folder name for MinIO uploads\n\n    Returns:\n        tuple: (errors, uploaded_file_paths, uploaded_filenames)\n    \"\"\"\n    uploaded_filenames = []\n    uploaded_file_paths = []\n    errors = []\n    if destination == \"local\":\n        async with upload_semaphore:\n            for f in file:\n                if not f:\n                    continue\n\n                safe_filename = os.path.basename(f.filename or \"\")\n                upload_path = upload_dir / safe_filename\n                absolute_path = upload_path.absolute()\n\n                # Save file\n                if await save_upload_file(f, upload_path):\n                    uploaded_filenames.append(safe_filename)\n                    uploaded_file_paths.append(str(absolute_path))\n                    logger.info(f\"Successfully saved file: {safe_filename}\")\n                else:\n                    errors.append(f\"Failed to save file: {f.filename}\")\n\n    elif destination == \"minio\":\n        minio_results = await upload_to_minio(files=file, folder=folder)\n        for result in minio_results:\n            if result.get(\"success\"):\n                uploaded_filenames.append(result.get(\"file_name\"))\n                uploaded_file_paths.append(result.get(\"object_name\"))\n            else:\n                file_name = result.get('file_name')\n                error_msg = result.get('error', 'Unknown error')\n                errors.append(f\"Failed to upload {file_name}: {error_msg}\")\n\n        # Resolve filename conflicts against existing KB documents by renaming (e.g., name -> name_1)\n        if index_name:\n            try:\n                vdb_core = get_vector_db_core()\n                existing = await ElasticSearchService.list_files(index_name, include_chunks=False, vdb_core=vdb_core)\n                existing_files = existing.get(\n                    \"files\", []) if isinstance(existing, dict) else []\n                # Prefer 'file' field; fall back to 'filename' if present\n                existing_names = set()\n                for item in existing_files:\n                    name = (item.get(\"file\") or item.get(\n                        \"filename\") or \"\").strip()\n                    if name:\n                        existing_names.add(name.lower())\n\n                def make_unique_names(original_names: List[str], taken_lower: set) -> List[str]:\n                    unique_list: List[str] = []\n                    local_taken = set(taken_lower)\n                    for original in original_names:\n                        base, ext = os.path.splitext(original or \"\")\n                        candidate = original or \"\"\n                        if not candidate:\n                            unique_list.append(candidate)\n                            continue\n                        suffix = 1\n                        # Ensure case-insensitive uniqueness\n                        while candidate.lower() in local_taken:\n                            candidate = f\"{base}_{suffix}{ext}\"\n                            suffix += 1\n                        unique_list.append(candidate)\n                        local_taken.add(candidate.lower())\n                    return unique_list\n\n                uploaded_filenames[:] = make_unique_names(\n                    uploaded_filenames, existing_names)\n            except Exception as e:\n                logger.warning(\n                    f\"Failed to resolve filename conflicts for index '{index_name}': {str(e)}\")\n    else:\n        raise Exception(\"Invalid destination. Must be 'local' or 'minio'.\")\n    return errors, uploaded_file_paths, uploaded_filenames\n\n\nasync def upload_to_minio(files: List[UploadFile], folder: str) -> List[dict]:\n    \"\"\"Helper function to upload files to MinIO and return results.\"\"\"\n    results = []\n    for f in files:\n        try:\n            # Read file content\n            file_content = await f.read()\n\n            # Convert file content to BytesIO object\n            file_obj = BytesIO(file_content)\n\n            # Upload file\n            result = upload_fileobj(\n                file_obj=file_obj,\n                file_name=f.filename or \"\",\n                prefix=folder\n            )\n\n            # Reset file pointer for potential re-reading\n            await f.seek(0)\n            results.append(result)\n\n        except Exception as e:\n            # Log single file upload failure but continue processing other files\n            logger.error(\n                f\"Failed to upload file {f.filename}: {e}\", exc_info=True)\n            results.append({\n                \"success\": False,\n                \"file_name\": f.filename,\n                \"error\": \"An error occurred while processing the file.\"\n            })\n    return results\n\n\nasync def get_file_url_impl(object_name: str, expires: int):\n    result = get_file_url(object_name=object_name, expires=expires)\n    if not result[\"success\"]:\n        raise Exception(\n            f\"File does not exist or cannot be accessed: {result.get('error', 'Unknown error')}\")\n    return result\n\n\nasync def get_file_stream_impl(object_name: str):\n    file_stream = get_file_stream(object_name=object_name)\n    if file_stream is None:\n        raise Exception(\"File not found or failed to read from storage\")\n    content_type = get_content_type(object_name)\n    return file_stream, content_type\n\n\nasync def delete_file_impl(object_name: str):\n    result = delete_file(object_name=object_name)\n    if not result[\"success\"]:\n        raise Exception(\n            f\"File does not exist or deletion failed: {result.get('error', 'Unknown error')}\")\n    return result\n\n\nasync def list_files_impl(prefix: str, limit: Optional[int] = None):\n    files = list_files(prefix=prefix)\n    if limit:\n        files = files[:limit]\n    return files\n\n\ndef get_llm_model(tenant_id: str):\n    # Get the tenant config\n    main_model_config = tenant_config_manager.get_model_config(\n        key=MODEL_CONFIG_MAPPING[\"llm\"], tenant_id=tenant_id)\n    long_text_to_text_model = OpenAILongContextModel(\n        observer=MessageObserver(),\n        model_id=get_model_name_from_config(main_model_config),\n        api_base=main_model_config.get(\"base_url\"),\n        api_key=main_model_config.get(\"api_key\"),\n        max_context_tokens=main_model_config.get(\"max_tokens\"),\n        ssl_verify=main_model_config.get(\"ssl_verify\", True),\n    )\n    return long_text_to_text_model\n\n\nasync def preview_file_impl(object_name: str) -> Tuple[BytesIO, str]:\n    \"\"\"\n    Preview a file by returning its contents as a stream.\n\n    Args:\n        object_name: File object name in storage\n\n    Returns:\n        Tuple[BytesIO, str]: (file_stream, content_type)\n    \"\"\"\n    file_size = get_file_size_from_minio(object_name)\n    if file_size > FILE_PREVIEW_SIZE_LIMIT:\n        raise FileTooLargeException(\n            f\"File size {file_size} bytes exceeds the {FILE_PREVIEW_SIZE_LIMIT // (1024 * 1024)} MB preview limit\"\n        )\n\n    content_type = get_content_type(object_name)\n\n    # PDF, images, and text files - return directly\n    if content_type == 'application/pdf' or content_type.startswith('image/') or content_type in ['text/plain', 'text/csv', 'text/markdown']:\n        file_stream = get_file_stream(object_name)\n        if file_stream is None:\n            raise NotFoundException(\"File not found or failed to read from storage\")\n        return file_stream, content_type\n\n    # Office documents - convert to PDF with caching\n    elif content_type in OFFICE_MIME_TYPES:\n        name_without_ext = object_name.rsplit('.', 1)[0] if '.' in object_name else object_name\n        hash_suffix = hashlib.md5(object_name.encode()).hexdigest()[:8]\n        pdf_object_name = f\"preview/converted/{name_without_ext}_{hash_suffix}.pdf\"\n        temp_pdf_object_name = f\"preview/converting/{name_without_ext}_{hash_suffix}.pdf.tmp\"\n\n        # Fast path: return from cache without acquiring any lock\n        cached_stream = _get_cached_pdf_stream(pdf_object_name)\n        if cached_stream is not None:\n            return cached_stream, 'application/pdf'\n\n        # Slow path: convert with locking\n        file_stream = await _convert_office_to_cached_pdf(object_name, pdf_object_name, temp_pdf_object_name)\n        return file_stream, 'application/pdf'\n\n    # Unsupported file type\n    else:\n        raise UnsupportedFileTypeException(f\"Unsupported file type for preview: {content_type}\")\n\n\ndef _get_cached_pdf_stream(pdf_object_name: str) -> Optional[BytesIO]:\n    \"\"\"\n    Return the cached PDF stream if available, or None if missing or corrupted.\n\n    If the file exists but cannot be read, the corrupted entry is deleted so\n    a subsequent call will trigger a fresh conversion.\n    \"\"\"\n    if file_exists(pdf_object_name):\n        file_stream = get_file_stream(pdf_object_name)\n        if file_stream is None:\n            logger.warning(f\"Corrupted cache detected (cannot read), deleting: {pdf_object_name}\")\n            delete_file(pdf_object_name)\n            return None\n        return file_stream\n    return None\n\n\nasync def _convert_office_to_cached_pdf(\n    object_name: str,\n    pdf_object_name: str,\n    temp_pdf_object_name: str,\n) -> BytesIO:\n    \"\"\"\n    Convert an Office document to PDF and store the result in MinIO.\n\n    Args:\n        object_name: Source Office file path in MinIO\n        pdf_object_name: Final cached PDF path in MinIO\n        temp_pdf_object_name: Temporary PDF path used during conversion\n\n    Returns:\n        BytesIO stream of the converted PDF\n    \"\"\"\n    # Get or create a lock for this specific file to prevent duplicate conversions\n    async with _conversion_locks_guard:\n        if object_name not in _conversion_locks:\n            _conversion_locks[object_name] = asyncio.Lock()\n        file_lock = _conversion_locks[object_name]\n\n    try:\n        async with file_lock:\n            # Double-check: another request may have completed the conversion while we waited\n            cached_stream = _get_cached_pdf_stream(pdf_object_name)\n            if cached_stream is not None:\n                return cached_stream\n\n            # Conversion semaphore is enforced inside the data-process service\n            try:\n                # Request conversion: data-process downloads, converts, uploads to temp path, validates\n                async with httpx.AsyncClient(timeout=120.0) as client:\n                    response = await client.post(\n                        f\"{DATA_PROCESS_SERVICE}/tasks/convert_to_pdf\",\n                        data={\n                            \"object_name\": object_name,\n                            \"pdf_object_name\": temp_pdf_object_name,\n                        },\n                    )\n                if response.status_code != 200:\n                    raise Exception(\n                        f\"data-process conversion returned {response.status_code}: {response.text}\"\n                    )\n\n                # Atomic move from temp to final location, then clean up temp\n                copy_result = copy_file(source_object=temp_pdf_object_name, dest_object=pdf_object_name)\n                if not copy_result.get('success'):\n                    raise Exception(f\"Failed to finalize PDF cache: {copy_result.get('error', 'Unknown error')}\")\n                delete_file(temp_pdf_object_name)\n\n            except Exception as e:\n                if file_exists(temp_pdf_object_name):\n                    delete_file(temp_pdf_object_name)\n                logger.error(f\"Office conversion failed: {str(e)}\")\n                raise OfficeConversionException(f\"Failed to convert Office document to PDF: {str(e)}\") from e\n    finally:\n        # Clean up the file lock (prevents memory leak for many unique files)\n        async with _conversion_locks_guard:\n            _conversion_locks.pop(object_name, None)\n\n    file_stream = get_file_stream(pdf_object_name)\n    if file_stream is None:\n        raise NotFoundException(\"Converted PDF not found or failed to read from storage\")\n    return file_stream\n"
  },
  {
    "path": "backend/services/group_service.py",
    "content": "\"\"\"\nGroup service for managing groups and group memberships.\n\"\"\"\nimport logging\nfrom typing import Any, Dict, List, Optional, Union\n\nfrom database.group_db import (\n    query_groups,\n    query_groups_by_tenant,\n    add_group,\n    modify_group,\n    remove_group,\n    add_user_to_group,\n    remove_user_from_group,\n    query_group_users,\n    query_groups_by_user,\n    query_group_ids_by_user,\n    check_user_in_group,\n    count_group_users,\n    check_group_name_exists\n)\nfrom database.user_tenant_db import get_user_tenant_by_user_id\nfrom database.tenant_config_db import get_single_config_info, insert_config, update_config_by_tenant_config_id\nfrom consts.exceptions import NotFoundException, UnauthorizedError, ValidationError\nfrom consts.const import DEFAULT_GROUP_ID\nfrom services.tenant_service import get_tenant_info\n\nlogger = logging.getLogger(__name__)\n\n\ndef get_group_info(group_id: Union[int, str, List[int]]) -> Union[Optional[Dict[str, Any]], List[Dict[str, Any]]]:\n    \"\"\"\n    Get group(s) by group ID(s).\n\n    Args:\n        group_id: Group ID(s) - can be int, comma-separated string, or list of ints\n\n    Returns:\n        Single group dict with group_id, group_name, group_description if int provided,\n        list of group dicts if string/list provided\n\n    Raises:\n        NotFoundException: When group not found\n    \"\"\"\n    result = query_groups(group_id)\n\n    if isinstance(group_id, int) and result is None:\n        raise NotFoundException(f\"Group {group_id} not found\")\n\n    # Extract only the required fields: group_id, group_name, group_description\n    if isinstance(group_id, int) and result is not None:\n        # Single group result\n        return {\n            \"group_id\": result.get(\"group_id\"),\n            \"group_name\": result.get(\"group_name\"),\n            \"group_description\": result.get(\"group_description\")\n        }\n    elif isinstance(group_id, (str, list)) and result is not None:\n        # List of groups result\n        filtered_groups = []\n        for group in result:\n            filtered_groups.append({\n                \"group_id\": group.get(\"group_id\"),\n                \"group_name\": group.get(\"group_name\"),\n                \"group_description\": group.get(\"group_description\")\n            })\n        return filtered_groups\n\n    return result\n\n\ndef get_groups_by_tenant(tenant_id: str, page: Optional[int] = 1, page_size: Optional[int] = 20,\n                         sort_by: str = \"created_at\", sort_order: str = \"desc\") -> Dict[str, Any]:\n    \"\"\"\n    Get groups for a specific tenant with pagination and sorting.\n\n    Args:\n        tenant_id (str): Tenant ID\n        page (Optional[int]): Page number (1-based). If None, returns all data\n        page_size (Optional[int]): Number of items per page. If None, returns all data\n        sort_by (str): Field to sort by\n        sort_order (str): Sort order (asc or desc)\n\n    Returns:\n        Dict[str, Any]: Dictionary containing groups list and total count\n    \"\"\"\n    # Get paginated results and total count\n    result = query_groups_by_tenant(tenant_id, page, page_size, sort_by, sort_order)\n\n    # Filter to only return required fields for each group and add user count\n    filtered_groups = []\n    for group in result[\"groups\"]:\n        group_id = group.get(\"group_id\")\n        user_count = count_group_users(group_id) if group_id else 0\n        filtered_groups.append({\n            \"group_id\": group.get(\"group_id\"),\n            \"group_name\": group.get(\"group_name\"),\n            \"group_description\": group.get(\"group_description\"),\n            \"user_count\": user_count\n        })\n\n    return {\n        \"groups\": filtered_groups,\n        \"total\": result[\"total\"]\n    }\n\n\ndef get_tenant_default_group_id(tenant_id: str) -> Optional[int]:\n    \"\"\"\n    Get the default group ID for a tenant.\n\n    Args:\n        tenant_id (str): Tenant ID\n\n    Returns:\n        Optional[int]: Default group ID if exists, None otherwise\n    \"\"\"\n    try:\n        tenant_info = get_tenant_info(tenant_id)\n        default_group_id = tenant_info.get(\"default_group_id\")\n        return int(default_group_id) if default_group_id else None\n    except Exception as e:\n        logger.warning(f\"Failed to get default group ID for tenant {tenant_id}: {str(e)}\")\n        return None\n\n\ndef set_tenant_default_group_id(tenant_id: str, group_id: int, updated_by: Optional[str] = None) -> bool:\n    \"\"\"\n    Set the default group ID for a tenant.\n\n    Args:\n        tenant_id (str): Tenant ID\n        group_id (int): Group ID to set as default\n        updated_by (Optional[str]): User ID performing the update\n\n    Returns:\n        bool: Whether the operation was successful\n\n    Raises:\n        NotFoundException: When tenant or group not found\n        ValidationError: When group doesn't belong to the tenant\n    \"\"\"\n    # Verify tenant exists\n    try:\n        tenant_info = get_tenant_info(tenant_id)\n        if not tenant_info:\n            raise NotFoundException(f\"Tenant {tenant_id} not found\")\n    except NotFoundException:\n        raise\n\n    # Verify group exists and belongs to the tenant\n    group = query_groups(group_id)\n    if not group:\n        raise NotFoundException(f\"Group {group_id} not found\")\n\n    # Check if group belongs to the tenant (groups are tenant-specific)\n    if str(group.get(\"tenant_id\")) != tenant_id:\n        raise ValidationError(\n            f\"Group {group_id} does not belong to tenant {tenant_id}\")\n\n    try:\n        # Try to update existing default group config\n        existing_config = get_single_config_info(tenant_id, DEFAULT_GROUP_ID)\n        if existing_config:\n            success = update_config_by_tenant_config_id(\n                existing_config[\"tenant_config_id\"],\n                str(group_id)\n            )\n            if success:\n                logger.info(\n                    f\"Updated default group ID to {group_id} for tenant {tenant_id} by user {updated_by}\")\n        else:\n            # Create new default group config\n            config_data = {\n                \"tenant_id\": tenant_id,\n                \"config_key\": DEFAULT_GROUP_ID,\n                \"config_value\": str(group_id),\n                \"created_by\": updated_by,\n                \"updated_by\": updated_by\n            }\n            success = insert_config(config_data)\n            if success:\n                logger.info(\n                    f\"Set default group ID to {group_id} for tenant {tenant_id} by user {updated_by}\")\n\n        return success\n\n    except Exception as e:\n        logger.error(\n            f\"Failed to set default group ID to {group_id} for tenant {tenant_id}: {str(e)}\")\n        raise ValidationError(f\"Failed to set default group: {str(e)}\")\n\n\ndef create_group(tenant_id: str, group_name: str, group_description: Optional[str] = None,\n               user_id: str = None) -> Dict[str, Any]:\n    \"\"\"\n    Create a new group.\n\n    Args:\n        tenant_id (str): Tenant ID\n        group_name (str): Group name\n        group_description (Optional[str]): Group description\n        user_id (str): Current user ID\n\n    Returns:\n        Dict[str, Any]: Created group information\n\n    Raises:\n        NotFoundException: When user not found\n        UnauthorizedError: When user doesn't have permission\n        ValidationError: When group name already exists in the tenant\n    \"\"\"\n    # Check user permission\n    if user_id:\n        user_info = get_user_tenant_by_user_id(user_id)\n        if not user_info:\n            raise NotFoundException(f\"User {user_id} not found\")\n\n        user_role = user_info.get(\"user_role\", \"USER\")\n        if user_role not in [\"SU\", \"ADMIN\"]:\n            raise UnauthorizedError(f\"User role {user_role} not authorized to create groups\")\n\n    # Check if group name already exists in the tenant\n    if check_group_name_exists(tenant_id, group_name):\n        raise ValidationError(f\"Group name '{group_name}' already exists in this tenant\")\n\n    # Create group\n    group_id = add_group(\n        tenant_id=tenant_id,\n        group_name=group_name,\n        group_description=group_description,\n        created_by=user_id\n    )\n\n    logger.info(f\"Created group {group_name} for tenant {tenant_id} by user {user_id}\")\n\n    return {\n        \"group_id\": group_id,\n        \"group_name\": group_name,\n        \"group_description\": group_description\n    }\n\n\ndef update_group(group_id: int, updates: Dict[str, Any], user_id: str) -> bool:\n    \"\"\"\n    Update group information.\n\n    Args:\n        group_id (int): Group ID\n        updates (Dict[str, Any]): Fields to update\n        user_id (str): Current user ID\n\n    Returns:\n        bool: Whether update was successful\n\n    Raises:\n        NotFoundException: When user or group not found\n        UnauthorizedError: When user doesn't have permission\n        ValidationError: When group name already exists in the tenant\n    \"\"\"\n    # Check user permission\n    user_info = get_user_tenant_by_user_id(user_id)\n    if not user_info:\n        raise NotFoundException(f\"User {user_id} not found\")\n\n    user_role = user_info.get(\"user_role\", \"USER\")\n    if user_role not in [\"SU\", \"ADMIN\"]:\n        raise UnauthorizedError(f\"User role {user_role} not authorized to update groups\")\n\n    # Check if group exists\n    group = query_groups(group_id)\n    if not group:\n        raise NotFoundException(f\"Group {group_id} not found\")\n\n    tenant_id = group.get(\"tenant_id\")\n\n    # Check if new group name already exists in the tenant (when updating group_name)\n    if \"group_name\" in updates and updates[\"group_name\"]:\n        if check_group_name_exists(tenant_id, updates[\"group_name\"], exclude_group_id=group_id):\n            raise ValidationError(f\"Group name '{updates['group_name']}' already exists in this tenant\")\n\n    # Update group\n    success = modify_group(\n        group_id=group_id,\n        updates=updates,\n        updated_by=user_id\n    )\n\n    if success:\n        logger.info(f\"Updated group {group_id} by user {user_id}\")\n\n    return success\n\n\ndef delete_group(group_id: int, user_id: str) -> bool:\n    \"\"\"\n    Delete group.\n\n    Args:\n        group_id (int): Group ID\n        user_id (str): Current user ID\n\n    Returns:\n        bool: Whether deletion was successful\n\n    Raises:\n        NotFoundException: When user or group not found\n        UnauthorizedError: When user doesn't have permission\n    \"\"\"\n    # Check user permission\n    user_info = get_user_tenant_by_user_id(user_id)\n    if not user_info:\n        raise NotFoundException(f\"User {user_id} not found\")\n\n    user_role = user_info.get(\"user_role\", \"USER\")\n    if user_role not in [\"SU\", \"ADMIN\"]:\n        raise UnauthorizedError(f\"User role {user_role} not authorized to delete groups\")\n\n    # Check if group exists\n    group = query_groups(group_id)\n    if not group:\n        raise NotFoundException(f\"Group {group_id} not found\")\n\n    # Delete group\n    success = remove_group(\n        group_id=group_id,\n        updated_by=user_id\n    )\n\n    if success:\n        logger.info(f\"Deleted group {group_id} by user {user_id}\")\n\n    return success\n\n\ndef add_user_to_single_group(group_id: int, user_id: str, current_user_id: str) -> Dict[str, Any]:\n    \"\"\"\n    Add user to group.\n\n    Args:\n        group_id (int): Group ID\n        user_id (str): User ID to add\n        current_user_id (str): Current user ID performing the action\n\n    Returns:\n        Dict[str, Any]: Group membership information\n\n    Raises:\n        NotFoundException: When user or group not found\n        UnauthorizedError: When user doesn't have permission\n    \"\"\"\n    # Check current user permission\n    user_info = get_user_tenant_by_user_id(current_user_id)\n    if not user_info:\n        raise UnauthorizedError(f\"User {current_user_id} not found\")\n\n    # Check if group exists\n    group = query_groups(group_id)\n    if not group:\n        raise NotFoundException(f\"Group {group_id} not found\")\n\n    # Check if user is already in group\n    if check_user_in_group(user_id, group_id):\n        return {\n            \"group_id\": group_id,\n            \"user_id\": user_id,\n            \"already_member\": True\n        }\n\n    # Add user to group\n    group_user_id = add_user_to_group(\n        group_id=group_id,\n        user_id=user_id,\n        created_by=current_user_id\n    )\n\n    logger.info(f\"Added user {user_id} to group {group_id} by user {current_user_id}\")\n\n    return {\n        \"group_user_id\": group_user_id,\n        \"group_id\": group_id,\n        \"user_id\": user_id,\n        \"already_member\": False\n    }\n\n\ndef remove_user_from_single_group(group_id: int, user_id: str, current_user_id: str) -> bool:\n    \"\"\"\n    Remove user from group.\n\n    Args:\n        group_id (int): Group ID\n        user_id (str): User ID to remove\n        current_user_id (str): Current user ID performing the action\n\n    Returns:\n        bool: Whether removal was successful\n\n    Raises:\n        NotFoundException: When user or group not found\n        UnauthorizedError: When user doesn't have permission\n    \"\"\"\n    # Check current user permission\n    user_info = get_user_tenant_by_user_id(current_user_id)\n    if not user_info:\n        raise UnauthorizedError(f\"User {current_user_id} not found\")\n\n    user_role = user_info.get(\"user_role\", \"USER\")\n    if user_role not in [\"SU\", \"ADMIN\"]:\n        raise UnauthorizedError(f\"User role {user_role} not authorized to manage group memberships\")\n\n    # Check if group exists\n    group = query_groups(group_id)\n    if not group:\n        raise NotFoundException(f\"Group {group_id} not found\")\n\n    # Remove user from group\n    success = remove_user_from_group(\n        group_id=group_id,\n        user_id=user_id,\n        updated_by=current_user_id\n    )\n\n    if success:\n        logger.info(f\"Removed user {user_id} from group {group_id} by user {current_user_id}\")\n\n    return success\n\n\ndef get_group_users(group_id: int) -> List[Dict[str, Any]]:\n    \"\"\"\n    Get all users in a group with their details.\n\n    Args:\n        group_id (int): Group ID\n\n    Returns:\n        List[Dict[str, Any]]: List of group user records with user details\n\n    Raises:\n        NotFoundException: When group not found\n    \"\"\"\n    # Check if group exists\n    group = query_groups(group_id)\n    if not group:\n        raise NotFoundException(f\"Group {group_id} not found\")\n\n    # Get group membership records\n    group_memberships = query_group_users(group_id)\n\n    filtered_users = []\n    for membership in group_memberships:\n        user_id = membership.get(\"user_id\")\n        if user_id:\n            # Get user details from user_tenant table\n            user_info = get_user_tenant_by_user_id(user_id)\n            if user_info:\n                filtered_users.append({\n                    \"id\": user_id,  # Keep user_id as string\n                    \"username\": user_info.get(\"user_email\", \"\"),\n                    \"role\": user_info.get(\"user_role\", \"\")\n                })\n\n    return filtered_users\n\n\ndef get_group_user_count(group_id: int) -> int:\n    \"\"\"\n    Get user count in a group.\n\n    Args:\n        group_id (int): Group ID\n\n    Returns:\n        int: Number of users in the group\n\n    Raises:\n        NotFoundException: When group not found\n    \"\"\"\n    # Check if group exists\n    group = query_groups(group_id)\n    if not group:\n        raise NotFoundException(f\"Group {group_id} not found\")\n\n    return count_group_users(group_id)\n\n\ndef add_user_to_groups(user_id: str, group_ids: List[int], current_user_id: str) -> List[Dict[str, Any]]:\n    \"\"\"\n    Add user to multiple groups.\n\n    Args:\n        user_id (str): User ID to add\n        group_ids (List[int]): List of group IDs\n        current_user_id (str): Current user ID performing the action\n\n    Returns:\n        List[Dict[str, Any]]: List of group membership results\n\n    Raises:\n        UnauthorizedError: When user doesn't have permission\n    \"\"\"\n    results = []\n    for group_id in group_ids:\n        try:\n            result = add_user_to_single_group(\n                group_id, user_id, current_user_id)\n            results.append(result)\n        except Exception as e:\n            logger.error(f\"Failed to add user {user_id} to group {group_id}: {str(e)}\")\n            results.append({\n                \"group_id\": group_id,\n                \"user_id\": user_id,\n                \"error\": str(e)\n            })\n\n    return results\n\n\ndef update_group_members(group_id: int, user_ids: List[str], current_user_id: str) -> Dict[str, Any]:\n    \"\"\"\n    Update group members by setting the exact list of users that should be in the group.\n\n    Args:\n        group_id (int): Group ID\n        user_ids (List[str]): List of user IDs that should be in the group\n        current_user_id (str): Current user ID performing the action\n\n    Returns:\n        Dict[str, Any]: Update results with added/removed counts\n\n    Raises:\n        NotFoundException: When group not found\n        UnauthorizedError: When user doesn't have permission\n    \"\"\"\n    # Check current user permission\n    user_info = get_user_tenant_by_user_id(current_user_id)\n    if not user_info:\n        raise UnauthorizedError(f\"User {current_user_id} not found\")\n\n    # Check if group exists\n    group = query_groups(group_id)\n    if not group:\n        raise NotFoundException(f\"Group {group_id} not found\")\n\n    # Get current group members\n    current_members = get_group_users(group_id)\n    current_user_ids = {str(member[\"id\"]) for member in current_members}\n\n    # Convert target user_ids to set for comparison\n    target_user_ids = set(user_ids)\n\n    # Find users to add and remove\n    users_to_add = target_user_ids - current_user_ids\n    users_to_remove = current_user_ids - target_user_ids\n\n    added_count = 0\n    removed_count = 0\n\n    # Add new members\n    for user_id in users_to_add:\n        try:\n            add_user_to_single_group(group_id, user_id, current_user_id)\n            added_count += 1\n        except Exception as e:\n            logger.error(f\"Failed to add user {user_id} to group {group_id}: {str(e)}\")\n\n    # Remove old members\n    for user_id in users_to_remove:\n        try:\n            remove_user_from_single_group(group_id, user_id, current_user_id)\n            removed_count += 1\n        except Exception as e:\n            logger.error(f\"Failed to remove user {user_id} from group {group_id}: {str(e)}\")\n\n    logger.info(f\"Updated group {group_id} members: added {added_count}, removed {removed_count} by user {current_user_id}\")\n\n    return {\n        \"group_id\": group_id,\n        \"added_count\": added_count,\n        \"removed_count\": removed_count,\n        \"total_members\": len(target_user_ids)\n    }\n"
  },
  {
    "path": "backend/services/idata_service.py",
    "content": "\"\"\"\niData Service Layer\nHandles API calls to iData for knowledge space operations.\n\nThis service layer provides functionality to interact with iData's API,\nincluding fetching knowledge spaces and transforming responses\nto a format compatible with the frontend.\n\"\"\"\nimport json\nimport logging\nfrom typing import Any, Dict, List\n\nimport httpx\n\nfrom consts.error_code import ErrorCode\nfrom consts.exceptions import AppException\nfrom nexent.utils.http_client_manager import http_client_manager\n\nlogger = logging.getLogger(\"idata_service\")\n\n\ndef _validate_idata_base_params(\n        idata_api_base: str,\n        api_key: str,\n        user_id: str,\n) -> None:\n    \"\"\"\n    Validate common iData API parameters.\n\n    Args:\n        idata_api_base: iData API base URL\n        api_key: iData API key\n        user_id: iData user ID\n\n    Raises:\n        AppException: If any parameter is invalid\n    \"\"\"\n    if not idata_api_base or not isinstance(idata_api_base, str):\n        raise AppException(\n            ErrorCode.IDATA_CONFIG_INVALID,\n            \"iData API URL is required and must be a non-empty string\"\n        )\n\n    if not (idata_api_base.startswith(\"http://\") or idata_api_base.startswith(\"https://\")):\n        raise AppException(\n            ErrorCode.IDATA_CONFIG_INVALID,\n            \"iData API URL must start with http:// or https://\"\n        )\n\n    if not api_key or not isinstance(api_key, str):\n        raise AppException(\n            ErrorCode.IDATA_CONFIG_INVALID,\n            \"iData API key is required and must be a non-empty string\"\n        )\n\n    if not user_id or not isinstance(user_id, str):\n        raise AppException(\n            ErrorCode.IDATA_CONFIG_INVALID,\n            \"iData user ID is required and must be a non-empty string\"\n        )\n\n\ndef _normalize_api_base(idata_api_base: str) -> str:\n    \"\"\"\n    Normalize API base URL by removing trailing slash.\n\n    Args:\n        idata_api_base: iData API base URL\n\n    Returns:\n        Normalized API base URL\n    \"\"\"\n    return idata_api_base.rstrip(\"/\")\n\n\ndef _make_idata_request(\n        api_base: str,\n        url: str,\n        headers: Dict[str, str],\n        request_body: Dict[str, Any],\n) -> Dict[str, Any]:\n    \"\"\"\n    Make HTTP POST request to iData API and handle common errors.\n\n    Args:\n        api_base: Normalized API base URL\n        url: Full request URL\n        headers: Request headers\n        request_body: Request body as dictionary\n\n    Returns:\n        Parsed JSON response\n\n    Raises:\n        AppException: If request fails or response is invalid\n    \"\"\"\n    logger.info(f\"Making iData API request to: {url}\")\n\n    try:\n        # Use shared HttpClientManager for connection pooling\n        # Note: ssl_verify is set to False as per requirement (self-signed certificate)\n        client = http_client_manager.get_sync_client(\n            base_url=api_base,\n            timeout=10.0,\n            verify_ssl=False\n        )\n        response = client.post(url, headers=headers, json=request_body)\n        response.raise_for_status()\n\n        return response.json()\n\n    except httpx.RequestError as e:\n        logger.error(f\"iData API request failed: {str(e)}\")\n        raise AppException(\n            ErrorCode.IDATA_CONNECTION_ERROR,\n            f\"iData API request failed: {str(e)}\"\n        )\n    except httpx.HTTPStatusError as e:\n        logger.error(\n            f\"iData API HTTP error: {str(e)}, status_code: {e.response.status_code}\")\n        # Map HTTP status to specific error code\n        if e.response.status_code == 401:\n            logger.error(\"Raising IDATA_AUTH_ERROR for 401 error\")\n            raise AppException(\n                ErrorCode.IDATA_AUTH_ERROR,\n                f\"iData authentication failed: {str(e)}\"\n            )\n        elif e.response.status_code == 403:\n            logger.error(\"Raising IDATA_AUTH_ERROR for 403 error\")\n            raise AppException(\n                ErrorCode.IDATA_AUTH_ERROR,\n                f\"iData access forbidden: {str(e)}\"\n            )\n        elif e.response.status_code == 429:\n            logger.error(\"Raising IDATA_RATE_LIMIT for 429 error\")\n            raise AppException(\n                ErrorCode.IDATA_RATE_LIMIT,\n                f\"iData API rate limit exceeded: {str(e)}\"\n            )\n        else:\n            logger.error(\n                f\"Raising IDATA_SERVICE_ERROR for status {e.response.status_code}\")\n            raise AppException(\n                ErrorCode.IDATA_SERVICE_ERROR,\n                f\"iData API HTTP error {e.response.status_code}: {str(e)}\"\n            )\n    except json.JSONDecodeError as e:\n        logger.error(f\"Failed to parse iData API response: {str(e)}\")\n        raise AppException(\n            ErrorCode.IDATA_RESPONSE_ERROR,\n            f\"Failed to parse iData API response: {str(e)}\"\n        )\n\n\ndef _parse_idata_response(result: Dict[str, Any]) -> List[Dict[str, Any]]:\n    \"\"\"\n    Parse iData API response and validate format.\n\n    Args:\n        result: Parsed JSON response from iData API\n\n    Returns:\n        List of data items from response\n\n    Raises:\n        AppException: If response format is invalid\n    \"\"\"\n    # Expected format: {\"code\": \"1\", \"msg\": \"...\", \"data\": [...], \"msgParams\": null}\n    code = result.get(\"code\", \"\")\n    if code != \"1\":\n        msg = result.get(\"msg\", \"Unknown error\")\n        logger.error(\n            f\"iData API returned error code: {code}, message: {msg}\")\n        raise AppException(\n            ErrorCode.IDATA_SERVICE_ERROR,\n            f\"iData API error: {msg}\"\n        )\n\n    data = result.get(\"data\", [])\n    if not isinstance(data, list):\n        logger.error(\n            f\"Unexpected iData API response format: data is not a list\")\n        raise AppException(\n            ErrorCode.IDATA_RESPONSE_ERROR,\n            \"Unexpected iData API response format: data is not a list\"\n        )\n\n    return data\n\n\ndef fetch_idata_knowledge_spaces_impl(\n        idata_api_base: str,\n        api_key: str,\n        user_id: str,\n) -> List[Dict[str, str]]:\n    \"\"\"\n    Fetch knowledge spaces from iData API.\n\n    Args:\n        idata_api_base: iData API base URL\n        api_key: iData API key with Bearer token\n        user_id: iData user ID\n\n    Returns:\n        List of dictionaries containing knowledge spaces with id and name:\n        [\n            {\n                \"id\": \"6cbf949946bf4b769c073259406b04f8\",\n                \"name\": \"test1\"\n            },\n            ...\n        ]\n\n    Raises:\n        AppException: If API request fails or response is invalid\n    \"\"\"\n    # Validate inputs\n    _validate_idata_base_params(idata_api_base, api_key, user_id)\n\n    # Normalize API base URL\n    api_base = _normalize_api_base(idata_api_base)\n\n    # Build request URL\n    url = f\"{api_base}/apiaccess/modelmate/north/machine/v1/knowledgeSpaces/query\"\n\n    headers = {\n        \"Authorization\": f\"Bearer {api_key}\",\n        \"Content-Type\": \"application/json\"\n    }\n\n    # Request body\n    request_body = {\n        \"userId\": user_id\n    }\n\n    # Make request and parse response\n    result = _make_idata_request(api_base, url, headers, request_body)\n    data = _parse_idata_response(result)\n\n    # Extract id and name from each knowledge space\n    knowledge_spaces = []\n    for item in data:\n        if not isinstance(item, dict):\n            continue\n\n        space_id = item.get(\"id\")\n        space_name = item.get(\"name\")\n\n        if space_id and space_name:\n            knowledge_spaces.append({\n                \"id\": str(space_id),\n                \"name\": str(space_name)\n            })\n\n    return knowledge_spaces\n\n\ndef fetch_idata_datasets_impl(\n        idata_api_base: str,\n        api_key: str,\n        user_id: str,\n        knowledge_space_id: str,\n) -> Dict[str, Any]:\n    \"\"\"\n    Fetch datasets (knowledge bases) from iData API and transform to DataMate-compatible format.\n\n    Args:\n        idata_api_base: iData API base URL\n        api_key: iData API key with Bearer token\n        user_id: iData user ID\n        knowledge_space_id: Knowledge space ID\n\n    Returns:\n        Dictionary containing knowledge bases in DataMate-compatible format:\n        {\n            \"indices\": [\"dataset_id_1\", \"dataset_id_2\", ...],\n            \"count\": 2,\n            \"indices_info\": [\n                {\n                    \"name\": \"dataset_id_1\",\n                    \"display_name\": \"知识库名称\",\n                    \"stats\": {\n                        \"base_info\": {\n                            \"doc_count\": 10,\n                            \"process_source\": \"iData\"\n                        }\n                    }\n                },\n                ...\n            ]\n        }\n\n    Raises:\n        AppException: If API request fails or response is invalid\n    \"\"\"\n    # Validate inputs\n    _validate_idata_base_params(idata_api_base, api_key, user_id)\n\n    if not knowledge_space_id or not isinstance(knowledge_space_id, str):\n        raise AppException(\n            ErrorCode.IDATA_CONFIG_INVALID,\n            \"Knowledge space ID is required and must be a non-empty string\"\n        )\n\n    # Normalize API base URL\n    api_base = _normalize_api_base(idata_api_base)\n\n    # Build request URL\n    url = f\"{api_base}/apiaccess/modelmate/north/machine/v1/knowledgeBases/query\"\n\n    headers = {\n        \"Authorization\": f\"Bearer {api_key}\",\n        \"Content-Type\": \"application/json\"\n    }\n\n    # Request body\n    request_body = {\n        \"userId\": user_id,\n        \"knowledgeSpaceId\": knowledge_space_id\n    }\n\n    # Make request and parse response\n    result = _make_idata_request(api_base, url, headers, request_body)\n    data = _parse_idata_response(result)\n\n    # Transform to DataMate-compatible format\n    indices = []\n    indices_info = []\n\n    for knowledge_base in data:\n        if not isinstance(knowledge_base, dict):\n            continue\n\n        kb_id = knowledge_base.get(\"id\", \"\")\n        kb_name = knowledge_base.get(\"name\", \"\")\n        file_count = knowledge_base.get(\"fileCount\", 0)\n\n        if not kb_id:\n            continue\n\n        indices.append(kb_id)\n\n        # Create indices_info entry (compatible with DataMate format)\n        indices_info.append({\n            \"name\": kb_id,\n            \"display_name\": kb_name,\n            \"stats\": {\n                \"base_info\": {\n                    \"doc_count\": file_count,\n                    \"process_source\": \"iData\"\n                }\n            }\n        })\n\n    return {\n        \"indices\": indices,\n        \"count\": len(indices),\n        \"indices_info\": indices_info\n    }\n"
  },
  {
    "path": "backend/services/image_service.py",
    "content": "import logging\nfrom http import HTTPStatus\n\nimport aiohttp\n\nfrom consts.const import DATA_PROCESS_SERVICE\nfrom consts.const import MODEL_CONFIG_MAPPING\nfrom utils.config_utils import tenant_config_manager, get_model_name_from_config\n\nfrom nexent import MessageObserver\nfrom nexent.core.models import OpenAIVLModel\n\nlogger = logging.getLogger(\"image_service\")\n\n\nasync def proxy_image_impl(decoded_url: str):\n    # Create session to call the data processing service\n    async with aiohttp.ClientSession() as session:\n        # Call the data processing service to load the image\n        data_process_url = f\"{DATA_PROCESS_SERVICE}/tasks/load_image?url={decoded_url}\"\n\n        async with session.get(data_process_url) as response:\n            if response.status != HTTPStatus.OK:\n                error_text = await response.text()\n                logger.error(\n                    f\"Failed to fetch image from data process service: {error_text}\")\n                return {\"success\": False, \"error\": \"Failed to fetch image or image format not supported\"}\n\n            result = await response.json()\n            return result\n\n\ndef get_vlm_model(tenant_id: str):\n    # Get the tenant config\n    vlm_model_config = tenant_config_manager.get_model_config(\n        key=MODEL_CONFIG_MAPPING[\"vlm\"], tenant_id=tenant_id)\n    if not vlm_model_config:\n        return None\n    return OpenAIVLModel(\n        observer=MessageObserver(),\n        model_id=get_model_name_from_config(\n            vlm_model_config) if vlm_model_config else \"\",\n        api_base=vlm_model_config.get(\"base_url\", \"\"),\n        api_key=vlm_model_config.get(\"api_key\", \"\"),\n        temperature=0.7,\n        top_p=0.7,\n        frequency_penalty=0.5,\n        max_tokens=512,\n        ssl_verify=vlm_model_config.get(\"ssl_verify\", True),\n    )\n"
  },
  {
    "path": "backend/services/invitation_service.py",
    "content": "\"\"\"\nInvitation service for managing invitation codes and records.\n\"\"\"\nimport logging\nimport random\nimport string\nfrom datetime import datetime\nfrom typing import Optional, Dict, Any, List\n\nfrom database.invitation_db import (\n    query_invitation_by_code,\n    query_invitation_by_id,\n    add_invitation,\n    modify_invitation,\n    add_invitation_record,\n    count_invitation_usage,\n    query_invitations_with_pagination,\n    remove_invitation\n)\nfrom database.user_tenant_db import get_user_tenant_by_user_id\nfrom database.group_db import query_group_ids_by_user\nfrom consts.exceptions import NotFoundException, UnauthorizedError, DuplicateError\nfrom services.group_service import get_tenant_default_group_id\nfrom utils.str_utils import convert_string_to_list\n\nlogger = logging.getLogger(__name__)\n\n\ndef create_invitation_code(\n    tenant_id: str,\n    code_type: str,\n    invitation_code: Optional[str] = None,\n    group_ids: Optional[List[int]] = None,\n    capacity: int = 1,\n    expiry_date: Optional[str] = None,\n    status: str = \"IN_USE\",\n    user_id: str = None\n) -> Dict[str, Any]:\n    \"\"\"\n    Create a new invitation code with business logic.\n\n    Args:\n        tenant_id (str): Tenant ID\n        code_type (str): Invitation code type (ADMIN_INVITE, DEV_INVITE, USER_INVITE)\n        invitation_code (Optional[str]): Invitation code, auto-generated if None\n        group_ids (Optional[List[int]]): Associated group IDs\n        capacity (int): Invitation code capacity\n        expiry_date (Optional[str]): Expiry date\n        status (str): Status\n        user_id (str): Current user ID\n\n    Returns:\n        Dict[str, Any]: Created invitation code information\n\n    Raises:\n        NotFoundException: When user not found\n        UnauthorizedError: When user doesn't have permission\n        ValueError: When code_type is invalid\n    \"\"\"\n    # Validate code_type\n    valid_code_types = [\"ADMIN_INVITE\", \"DEV_INVITE\", \"USER_INVITE\"]\n    if code_type not in valid_code_types:\n        raise ValueError(f\"Invalid code_type: {code_type}. Must be one of {valid_code_types}\")\n\n    # Get user information\n    user_info = get_user_tenant_by_user_id(user_id)\n    if not user_info:\n        raise NotFoundException(f\"User {user_id} not found\")\n\n    user_role = user_info.get(\"user_role\", \"USER\")\n\n    # Check permission based on code_type\n    if code_type == \"ADMIN_INVITE\" and user_role not in [\"SU\"]:\n        raise UnauthorizedError(f\"User role {user_role} not authorized to create ADMIN_INVITE codes\")\n    elif code_type in [\"DEV_INVITE\", \"USER_INVITE\"] and user_role not in [\"SU\", \"ADMIN\"]:\n        raise UnauthorizedError(f\"User role {user_role} not authorized to create {code_type} codes\")\n\n    # Set default group_ids based on code_type if not provided\n    if group_ids is None:\n        if code_type == \"ADMIN_INVITE\":\n            # For admin invites, try to use tenant default group, fallback to empty list\n            default_group_id = get_tenant_default_group_id(tenant_id)\n            group_ids = [default_group_id] if default_group_id else []\n        elif code_type in [\"DEV_INVITE\", \"USER_INVITE\"]:\n            group_ids = query_group_ids_by_user(user_id)\n        else:\n            group_ids = []\n\n    # Generate invitation code if not provided\n    if not invitation_code:\n        invitation_code = _generate_unique_invitation_code()\n    else:\n        # Change to upper case by default\n        invitation_code = invitation_code.upper()\n\n    # Check if invitation code already exists\n    if query_invitation_by_code(invitation_code):\n        raise DuplicateError(f\"Invitation code '{invitation_code}' already exists\")\n\n    # Create invitation (status will be set automatically)\n    invitation_id = add_invitation(\n        tenant_id=tenant_id,\n        invitation_code=invitation_code,\n        code_type=code_type,\n        group_ids=group_ids,\n        capacity=capacity,\n        expiry_date=expiry_date,\n        status=status,\n        created_by=user_id\n    )\n\n    # Automatically update status based on expiry date and capacity\n    update_invitation_code_status(invitation_id)\n\n    logger.info(f\"Created invitation code {invitation_code} (type: {code_type}) for tenant {tenant_id} by user {user_id}\")\n\n    # Get the final invitation info with correct status\n    invitation_info = query_invitation_by_id(invitation_id)\n    normalized_info = _normalize_invitation_data(invitation_info) if invitation_info else None\n\n    return {\n        \"invitation_id\": invitation_id,\n        \"invitation_code\": invitation_code,\n        \"code_type\": code_type,\n        \"group_ids\": group_ids,\n        \"capacity\": capacity,\n        \"expiry_date\": expiry_date,\n        \"status\": normalized_info.get(\"status\", \"IN_USE\") if normalized_info else \"IN_USE\"\n    }\n\n\ndef update_invitation_code(\n    invitation_id: int,\n    updates: Dict[str, Any],\n    user_id: str\n) -> bool:\n    \"\"\"\n    Update invitation code information.\n\n    Args:\n        invitation_id (int): Invitation ID\n        updates (Dict[str, Any]): Fields to update\n        user_id (str): Current user ID\n\n    Returns:\n        bool: Whether update was successful\n\n    Raises:\n        UnauthorizedError: When user doesn't have permission\n    \"\"\"\n    # Check user permission\n    user_info = get_user_tenant_by_user_id(user_id)\n    if not user_info:\n        raise UnauthorizedError(f\"User {user_id} not found\")\n\n    user_role = user_info.get(\"user_role\", \"USER\")\n    if user_role not in [\"SU\", \"ADMIN\"]:\n        raise UnauthorizedError(f\"User role {user_role} not authorized to update invitation codes\")\n\n    # Update invitation code\n    success = modify_invitation(\n        invitation_id=invitation_id,\n        updates=updates,\n        updated_by=user_id\n    )\n\n    if success:\n        logger.info(f\"Updated invitation code {invitation_id} by user {user_id}\")\n        # Automatically update status after successful update\n        update_invitation_code_status(invitation_id)\n\n    return success\n\n\ndef delete_invitation_code(invitation_id: int, user_id: str) -> bool:\n    \"\"\"\n    Delete invitation code (soft delete).\n\n    Args:\n        invitation_id (int): Invitation ID to delete\n        user_id (str): Current user ID for permission checks\n\n    Returns:\n        bool: Whether deletion was successful\n\n    Raises:\n        UnauthorizedError: When user doesn't have permission to delete\n        NotFoundException: When invitation not found\n    \"\"\"\n    # Check user permission\n    user_info = get_user_tenant_by_user_id(user_id)\n    if not user_info:\n        raise UnauthorizedError(f\"User {user_id} not found\")\n\n    user_role = user_info.get(\"user_role\", \"USER\")\n    if user_role not in [\"SU\", \"ADMIN\"]:\n        raise UnauthorizedError(\n            f\"User role {user_role} not authorized to delete invitation codes\")\n\n    # Check if invitation exists\n    invitation_info = query_invitation_by_id(invitation_id)\n    if not invitation_info:\n        raise NotFoundException(f\"Invitation {invitation_id} not found\")\n\n    # Delete invitation code\n    success = remove_invitation(\n        invitation_id=invitation_id, updated_by=user_id)\n\n    if success:\n        logger.info(\n            f\"Deleted invitation code {invitation_id} by user {user_id}\")\n\n    return success\n\n\ndef _normalize_invitation_data(invitation_data: Dict[str, Any]) -> Dict[str, Any]:\n    \"\"\"\n    Normalize invitation data types for consistent API responses.\n\n    Args:\n        invitation_data: Raw invitation data from database\n\n    Returns:\n        Normalized invitation data with correct types\n    \"\"\"\n    if not invitation_data:\n        return invitation_data\n\n    # Create a copy to avoid modifying the original\n    normalized = invitation_data.copy()\n\n    # Convert datetime objects to ISO format strings\n    for key, value in normalized.items():\n        if isinstance(value, datetime):\n            normalized[key] = value.isoformat()\n\n    # Ensure correct data types\n    if \"invitation_id\" in normalized:\n        normalized[\"invitation_id\"] = int(normalized[\"invitation_id\"])\n    if \"capacity\" in normalized:\n        normalized[\"capacity\"] = int(normalized[\"capacity\"])\n    if \"group_ids\" in normalized:\n        # Convert group_ids string back to list\n        group_ids_value = normalized[\"group_ids\"]\n        if isinstance(group_ids_value, str):\n            normalized[\"group_ids\"] = convert_string_to_list(group_ids_value)\n        elif group_ids_value is None:\n            normalized[\"group_ids\"] = []\n\n    return normalized\n\n\ndef get_invitation_by_code(invitation_code: str) -> Optional[Dict[str, Any]]:\n    \"\"\"\n    Get invitation code information by code.\n\n    Args:\n        invitation_code (str): Invitation code\n\n    Returns:\n        Optional[Dict[str, Any]]: Invitation code information or None if not found\n    \"\"\"\n    invitation_data = query_invitation_by_code(invitation_code)\n    if invitation_data:\n        # Calculate current status to ensure expiry and capacity checks are current\n        invitation_data = _calculate_current_status(invitation_data)\n    return _normalize_invitation_data(invitation_data) if invitation_data else None\n\n\ndef _calculate_current_status(invitation_data: Dict[str, Any]) -> Dict[str, Any]:\n    \"\"\"\n    Calculate the current status of an invitation based on expiry and usage.\n\n    Args:\n        invitation_data: Raw invitation data from database\n\n    Returns:\n        Updated invitation data with current status\n    \"\"\"\n    if not invitation_data:\n        return invitation_data\n\n    invitation_id = invitation_data.get(\"invitation_id\")\n    if not invitation_id:\n        return invitation_data\n\n    current_time = datetime.now()\n    expiry_date = invitation_data.get(\"expiry_date\")\n    capacity = int(invitation_data.get(\"capacity\", 1))\n\n    # Get usage count\n    usage_count = count_invitation_usage(invitation_id)\n    current_status = invitation_data.get(\"status\", \"IN_USE\")\n\n    new_status = current_status\n\n    # Check expiry\n    if expiry_date:\n        try:\n            if isinstance(expiry_date, datetime):\n                expiry_datetime = expiry_date\n            else:\n                expiry_datetime = datetime.fromisoformat(\n                    str(expiry_date).replace('Z', '+00:00'))\n            # Treat same date as not expired - only expire when current date is strictly after expiry date\n            if current_time.date() > expiry_datetime.date():\n                new_status = \"EXPIRE\"\n        except (ValueError, AttributeError, TypeError):\n            logger.warning(f\"Invalid expiry_date format for invitation {invitation_id}: {expiry_date}\")\n\n    # Check capacity\n    if usage_count >= capacity:\n        new_status = \"RUN_OUT\"\n\n    # Update status in the data dict\n    invitation_data[\"status\"] = new_status\n    return invitation_data\n\n\ndef check_invitation_available(invitation_code: str) -> bool:\n    \"\"\"\n    Check if invitation is available for use.\n\n    Args:\n        invitation_code (str): Invitation code\n\n    Returns:\n        bool: Whether the code is available\n    \"\"\"\n    invitation = query_invitation_by_code(invitation_code)\n    if not invitation:\n        return False\n\n    # Check status\n    if invitation.get(\"status\") != \"IN_USE\":\n        return False\n\n    # Check capacity\n    usage_count = count_invitation_usage(invitation[\"invitation_id\"])\n    return usage_count < invitation[\"capacity\"]\n\n\ndef use_invitation_code(\n    invitation_code: str,\n    user_id: str\n) -> Dict[str, Any]:\n    \"\"\"\n    Use an invitation code by creating a usage record.\n    \n    Args:\n        invitation_code (str): Invitation code to use\n        user_id (str): User ID using the code\n\n    Returns:\n        Dict[str, Any]: Invitation usage result including code_type\n\n    Raises:\n        NotFoundException: When invitation code not found or not available\n    \"\"\"\n    # Check if invitation is available\n    if not check_invitation_available(invitation_code):\n        raise NotFoundException(f\"Invitation code {invitation_code} is not available\")\n\n    # Get invitation code details\n    invitation_info = query_invitation_by_code(invitation_code)\n    if not invitation_info:\n        raise NotFoundException(f\"Invitation code {invitation_code} not found\")\n\n    # Create usage record\n    record_id = add_invitation_record(\n        invitation_id=invitation_info[\"invitation_id\"],\n        user_id=user_id,\n        created_by=user_id\n    )\n\n    # Update invitation status\n    update_invitation_code_status(invitation_info[\"invitation_id\"])\n\n    logger.info(f\"User {user_id} used invitation code {invitation_code}\")\n\n    return {\n        \"invitation_record_id\": record_id,\n        \"invitation_code\": invitation_code,\n        \"user_id\": user_id,\n        \"invitation_id\": invitation_info[\"invitation_id\"],\n        \"code_type\": invitation_info[\"code_type\"],\n        \"group_ids\": invitation_info[\"group_ids\"]\n    }\n\n\ndef update_invitation_code_status(invitation_id: int) -> bool:\n    \"\"\"\n    Update invitation code status based on expiry date and usage count.\n\n    Args:\n        invitation_id (int): Invitation ID\n\n    Returns:\n        bool: Whether status was updated\n    \"\"\"\n    # Get invitation code details\n    invitation_info = query_invitation_by_id(invitation_id)\n    if not invitation_info:\n        return False\n\n    current_time = datetime.now()\n    expiry_date = invitation_info.get(\"expiry_date\")\n    capacity = int(invitation_info[\"capacity\"])\n\n    usage_count = count_invitation_usage(invitation_id)\n    current_status = invitation_info[\"status\"]\n\n    # Determine new status based on current conditions\n    # Priority: EXPIRE > RUN_OUT > IN_USE\n    new_status = \"IN_USE\"\n\n    # Check expiry first (highest priority)\n    if expiry_date:\n        try:\n            if isinstance(expiry_date, datetime):\n                expiry_datetime = expiry_date\n            else:\n                expiry_datetime = datetime.fromisoformat(\n                    str(expiry_date).replace('Z', '+00:00'))\n            # Treat same date as not expired - only expire when current date is strictly after expiry date\n            if current_time.date() > expiry_datetime.date():\n                new_status = \"EXPIRE\"\n        except (ValueError, AttributeError, TypeError):\n            logger.warning(f\"Invalid expiry_date format for invitation {invitation_id}: {expiry_date}\")\n\n    # Check capacity if not expired\n    if new_status == \"IN_USE\" and usage_count >= capacity:\n        new_status = \"RUN_OUT\"\n\n    # Update status if changed\n    if new_status != current_status:\n        modify_invitation(\n            invitation_id=invitation_id,\n            updates={\"status\": new_status},\n            updated_by=\"system\"\n        )\n        logger.info(f\"Updated invitation code {invitation_id} status to {new_status}\")\n        return True\n\n    return False\n\n\ndef _generate_unique_invitation_code(length: int = 6) -> str:\n    \"\"\"\n    Generate a unique invitation code.\n\n    Args:\n        length (int): Code length\n\n    Returns:\n        str: Unique invitation code\n    \"\"\"\n    max_attempts = 100  # Prevent infinite loop\n    attempts = 0\n\n    while attempts < max_attempts:\n        # Generate random code with letters and digits\n        code = ''.join(random.choices(string.ascii_letters + string.digits, k=length))\n\n        # Check uniqueness\n        if not query_invitation_by_code(code):\n            return code.upper()\n\n        attempts += 1\n\n    raise RuntimeError(f\"Failed to generate unique invitation code after {max_attempts} attempts\")\n\n\ndef get_invitations_list(\n    tenant_id: Optional[str],\n    page: int,\n    page_size: int,\n    user_id: str,\n    sort_by: Optional[str] = None,\n    sort_order: Optional[str] = None\n) -> Dict[str, Any]:\n    \"\"\"\n    Get invitations list with pagination and permission checks.\n\n    Args:\n        tenant_id (Optional[str]): Tenant ID to filter by, None for all tenants\n        page (int): Page number\n        page_size (int): Number of items per page\n        user_id (str): Current user ID for permission checks\n        sort_by (Optional[str]): Sort field\n        sort_order (Optional[str]): Sort order ('asc' or 'desc')\n\n    Returns:\n        Dict[str, Any]: Paginated invitation list result\n\n    Raises:\n        UnauthorizedError: When user doesn't have permission to view the requested data\n    \"\"\"\n    # Get user information for permission checks\n    user_info = get_user_tenant_by_user_id(user_id)\n    if not user_info:\n        raise UnauthorizedError(f\"User {user_id} not found\")\n\n    user_role = user_info.get(\"user_role\", \"USER\")\n\n    # Permission logic:\n    # - If tenant_id is provided: ADMIN or SU can view that tenant's invitations\n    # - If tenant_id is not provided: Only SU can view all invitations\n    if tenant_id:\n        # If tenant_id is specified, user must be ADMIN/SU\n        if user_role not in [\"SU\", \"ADMIN\"]:\n            raise UnauthorizedError(\n                f\"User role {user_role} not authorized to view invitation lists\")\n    else:\n        # If no tenant_id specified, only SU can view all invitations\n        if user_role not in [\"SU\"]:\n            raise UnauthorizedError(\n                f\"User role {user_role} not authorized to view all tenant invitations\")\n\n    # Query invitations with pagination\n    result = query_invitations_with_pagination(\n        tenant_id=tenant_id,\n        page=page,\n        page_size=page_size,\n        sort_by=sort_by,\n        sort_order=sort_order\n    )\n\n    logger.info(\n        f\"User {user_id} queried invitations list (tenant: {tenant_id or 'all'}, page: {page}, size: {page_size})\")\n\n    # Normalize each invitation item in the list\n    if result and \"items\" in result:\n        result[\"items\"] = [_normalize_invitation_data(item) for item in result[\"items\"]]\n\n    return result\n"
  },
  {
    "path": "backend/services/mcp_container_service.py",
    "content": "\"\"\"\nMCP Container Service - Wrapper around SDK container management\n\nThis module provides a compatibility layer for the existing MCPContainerManager\ninterface while using the standardized SDK container management module.\n\"\"\"\n\nimport logging\nimport asyncio\nimport threading\nfrom typing import Dict, List, Optional, AsyncGenerator\n\nfrom consts.exceptions import MCPConnectionError, MCPContainerError\nfrom nexent.container import (\n    DockerContainerConfig,\n    create_container_client_from_config,\n    ContainerError,\n    ContainerConnectionError,\n)\n\nlogger = logging.getLogger(\"mcp_container_service\")\n\n\nclass MCPContainerManager:\n    \"\"\"\n    Manage MCP service containers using SDK container management\n\n    This class maintains backward compatibility with the existing interface\n    while delegating to the SDK's standardized container management module.\n    \"\"\"\n\n    def __init__(self, docker_socket_path: Optional[str] = None):\n        \"\"\"\n        Initialize container manager using SDK\n\n        Args:\n            docker_socket_path: Path to Docker socket. If None, uses platform default.\n                For container access, mount docker socket: -v /var/run/docker.sock:/var/run/docker.sock\n        \"\"\"\n        try:\n            # Create Docker configuration\n            config = DockerContainerConfig(\n                docker_socket_path=docker_socket_path\n            )\n            # Create container client from config\n            self.client = create_container_client_from_config(config)\n            logger.info(\n                \"MCPContainerManager initialized using SDK container module\")\n        except ContainerError as e:\n            logger.error(f\"Failed to initialize container manager: {e}\")\n            raise MCPContainerError(f\"Cannot connect to Docker: {e}\")\n\n    async def load_image_from_tar_file(self, tar_file_path: str) -> str:\n        \"\"\"\n        Load Docker image from tar file\n\n        Args:\n            tar_file_path: Path to the tar file containing the Docker image\n\n        Returns:\n            Image name/tag that was loaded\n\n        Raises:\n            MCPContainerError: If image loading fails\n        \"\"\"\n        try:\n            # Load image from tar file\n            with open(tar_file_path, 'rb') as tar_file:\n                images = self.client.client.images.load(tar_file.read())\n\n            if not images:\n                raise MCPContainerError(\"No images found in tar file\")\n\n            # Get the first loaded image\n            loaded_image = images[0]\n            image_name = loaded_image.tags[0] if loaded_image.tags else str(\n                loaded_image.id)\n\n        except Exception as e:\n            logger.error(f\"Failed to load image from tar file: {e}\")\n            raise MCPContainerError(f\"Failed to load image from tar file: {e}\")\n        logger.info(f\"Successfully loaded image: {image_name}\")\n        return image_name\n\n    async def start_mcp_container(\n        self,\n        service_name: str,\n        tenant_id: str,\n        user_id: str,\n        env_vars: Optional[Dict[str, str]] = None,\n        host_port: Optional[int] = None,\n        image: Optional[str] = None,\n        full_command: Optional[List[str]] = None,\n    ) -> Dict[str, str]:\n        \"\"\"\n        Start MCP container and return access URL\n\n        Args:\n            service_name: Name of the MCP service\n            tenant_id: Tenant ID for isolation\n            user_id: User ID for isolation\n            env_vars: Optional environment variables (may contain authorization_token)\n\n        Returns:\n            Dictionary with container_id, mcp_url, host_port, and status\n\n        Raises:\n            MCPContainerError: If container startup fails\n        \"\"\"\n        try:\n            result = await self.client.start_container(\n                service_name=service_name,\n                tenant_id=tenant_id,\n                user_id=user_id,\n                full_command=full_command,\n                env_vars=env_vars,\n                host_port=host_port,\n                image=image,\n            )\n            # Map SDK response to existing interface (mcp_url instead of service_url)\n            return {\n                \"container_id\": result[\"container_id\"],\n                # Map service_url to mcp_url for compatibility\n                \"mcp_url\": result[\"service_url\"],\n                \"host_port\": result[\"host_port\"],\n                \"status\": result[\"status\"],\n                \"container_name\": result.get(\"container_name\"),\n            }\n        except ContainerError as e:\n            logger.error(f\"Failed to start MCP container: {e}\")\n            raise MCPContainerError(f\"Container startup failed: {e}\")\n        except ContainerConnectionError as e:\n            logger.error(f\"MCP connection error: {e}\")\n            raise MCPConnectionError(f\"MCP connection failed: {e}\")\n\n    async def start_mcp_container_from_tar(\n        self,\n        tar_file_path: str,\n        service_name: str,\n        tenant_id: str,\n        user_id: str,\n        env_vars: Optional[Dict[str, str]] = None,\n        host_port: Optional[int] = None,\n        full_command: Optional[List[str]] = None,\n    ) -> Dict[str, str]:\n        \"\"\"\n        Load image from tar file and start MCP container\n\n        Args:\n            tar_file_path: Path to the tar file containing the Docker image\n            service_name: Name of the MCP service\n            tenant_id: Tenant ID for isolation\n            user_id: User ID for isolation\n            env_vars: Optional environment variables (may contain authorization_token)\n            host_port: Optional host port to bind\n            full_command: Optional command to run in container\n\n        Returns:\n            Dictionary with container_id, mcp_url, host_port, and status\n\n        Raises:\n            MCPContainerError: If container startup fails\n        \"\"\"\n        try:\n            # Load image from tar file\n            image_name = await self.load_image_from_tar_file(tar_file_path)\n\n            # Start container with the loaded image\n            return await self.start_mcp_container(\n                service_name=service_name,\n                tenant_id=tenant_id,\n                user_id=user_id,\n                env_vars=env_vars,\n                host_port=host_port,\n                image=image_name,\n                full_command=full_command,\n            )\n\n        except Exception as e:\n            logger.error(f\"Failed to start MCP container from tar file: {e}\")\n            raise MCPContainerError(\n                f\"Failed to start container from tar file: {e}\")\n\n    async def stop_mcp_container(self, container_id: str) -> bool:\n        \"\"\"\n        Stop and remove MCP container\n\n        Args:\n            container_id: Container ID or name\n\n        Returns:\n            True if container was stopped and removed successfully\n\n        Raises:\n            MCPContainerError: If container stop or removal fails\n        \"\"\"\n        try:\n            # First stop the container\n            stop_result = await self.client.stop_container(container_id)\n            if not stop_result:\n                return False\n\n            # Then remove the container\n            remove_result = await self.client.remove_container(container_id)\n            return remove_result\n        except ContainerError as e:\n            logger.error(f\"Failed to stop or remove container: {e}\")\n            raise MCPContainerError(f\"Failed to stop container: {e}\")\n\n    def list_mcp_containers(self, tenant_id: Optional[str] = None) -> List[Dict[str, any]]:\n        \"\"\"\n        List all MCP containers, optionally filtered by tenant\n\n        Args:\n            tenant_id: Optional tenant ID to filter containers\n\n        Returns:\n            List of container information dictionaries\n        \"\"\"\n        try:\n            containers = self.client.list_containers(tenant_id=tenant_id)\n            # Map SDK response to existing interface (mcp_url instead of service_url)\n            result = []\n            for container in containers:\n                result.append(\n                    {\n                        \"container_id\": container[\"container_id\"],\n                        \"name\": container[\"name\"],\n                        \"status\": container[\"status\"],\n                        \"mcp_url\": container.get(\n                            \"service_url\"\n                        ),  # Map service_url to mcp_url for compatibility\n                        \"host_port\": container.get(\"host_port\"),\n                    }\n                )\n            return result\n        except Exception as e:\n            logger.error(f\"Failed to list MCP containers: {e}\")\n            return []\n\n    def get_container_logs(self, container_id: str, tail: int = 100) -> str:\n        \"\"\"\n        Get container logs\n\n        Args:\n            container_id: Container ID or name\n            tail: Number of log lines to retrieve\n\n        Returns:\n            Container logs as string\n        \"\"\"\n        try:\n            return self.client.get_container_logs(container_id, tail=tail)\n        except Exception as e:\n            logger.error(f\"Failed to get container logs: {e}\")\n            return f\"Error retrieving logs: {e}\"\n\n    async def stream_container_logs(\n        self, container_id: str, tail: int = 100, follow: bool = True\n    ) -> AsyncGenerator[str, None]:\n        \"\"\"\n        Stream container logs in real-time\n\n        Args:\n            container_id: Container ID or name\n            tail: Number of log lines to retrieve initially\n            follow: Whether to follow logs (stream new logs as they appear)\n\n        Yields:\n            Log lines as strings\n        \"\"\"\n        try:\n            container = self.client.client.containers.get(container_id)\n            loop = asyncio.get_event_loop()\n\n            # First, get initial logs in a thread pool to avoid blocking\n            initial_logs = await loop.run_in_executor(\n                None,\n                lambda: container.logs(\n                    tail=tail, stdout=True, stderr=True, timestamps=False\n                )\n            )\n            if initial_logs:\n                decoded = initial_logs.decode(\"utf-8\", errors=\"replace\")\n                for line in decoded.splitlines():\n                    if line.strip():  # Only yield non-empty lines\n                        yield line\n\n            # Then, if follow is True, stream new logs\n            if follow:\n                # Create a queue to pass log chunks from thread to async generator\n                log_queue = asyncio.Queue()\n                # Use list to allow modification from nested function\n                stop_flag = [False]\n\n                def _stream_logs_sync():\n                    \"\"\"Run blocking log stream in thread\"\"\"\n                    try:\n                        log_stream = container.logs(\n                            stdout=True,\n                            stderr=True,\n                            follow=True,\n                            stream=True,\n                            timestamps=False,\n                            tail=0,  # Only new logs\n                        )\n                        for log_chunk in log_stream:\n                            if stop_flag[0]:\n                                break\n                            # Put chunks in queue (will be processed in async context)\n                            asyncio.run_coroutine_threadsafe(\n                                log_queue.put(log_chunk), loop\n                            )\n                        # Signal end of stream\n                        asyncio.run_coroutine_threadsafe(\n                            log_queue.put(None), loop\n                        )\n                    except Exception as e:\n                        logger.error(f\"Error in log stream thread: {e}\")\n                        asyncio.run_coroutine_threadsafe(\n                            log_queue.put(None), loop\n                        )\n\n                # Start streaming in background thread\n                stream_thread = threading.Thread(\n                    target=_stream_logs_sync, daemon=True)\n                stream_thread.start()\n\n                # Process log chunks from queue\n                try:\n                    while True:\n                        log_chunk = await log_queue.get()\n                        if log_chunk is None:  # End of stream signal\n                            break\n                        decoded = log_chunk.decode(\"utf-8\", errors=\"replace\")\n                        # Split by newlines and yield each line\n                        for line in decoded.splitlines():\n                            if line.strip():  # Only yield non-empty lines\n                                yield line\n                finally:\n                    stop_flag[0] = True\n        except Exception as e:\n            logger.error(f\"Failed to stream container logs: {e}\")\n            yield f\"Error retrieving logs: {e}\"\n"
  },
  {
    "path": "backend/services/memory_config_service.py",
    "content": "import logging\nfrom typing import Dict, List, Union\n\nfrom consts.const import (\n\tMEMORY_SWITCH_KEY,\n\tMEMORY_AGENT_SHARE_KEY,\n\tDISABLE_AGENT_ID_KEY,\n\tDISABLE_USERAGENT_ID_KEY,\n\tDEFAULT_MEMORY_SWITCH_KEY,\n\tDEFAULT_MEMORY_AGENT_SHARE_KEY,\n)\nfrom consts.model import MemoryAgentShareMode\nfrom database.memory_config_db import (\n\tget_all_configs_by_user_id,\n\tget_memory_config_info,\n\tinsert_config,\n\tdelete_config_by_config_id,\n\tupdate_config_by_id,\n)\nfrom nexent.core.agents.agent_model import MemoryContext, MemoryUserConfig\nfrom utils.memory_utils import build_memory_config\n\nlogger = logging.getLogger(\"memory_config_service\")\n\n_SINGLE_TYPE = \"single\"\n_MULTI_TYPE = \"multi\"\n\n\n# ---------------------------------------------------------------------------\n# Utility helpers\n# ---------------------------------------------------------------------------\n\ndef _aggregate_records(records: List[Dict[str, Union[str, int]]]) -> Dict[str, Union[str, List[str]]]:\n\t\"\"\"Aggregate DB rows -> {config_key: value_or_list}\"\"\"\n\taggregated: Dict[str, Union[str, List[str]]] = {}\n\tfor r in records:\n\t\tkey = r[\"config_key\"]\n\t\tif r.get(\"value_type\") == _MULTI_TYPE:\n\t\t\taggregated.setdefault(key, []).append(r[\"config_value\"])\n\t\telse:\n\t\t\taggregated[key] = r[\"config_value\"]\n\treturn aggregated\n\n\n# ---------------------------------------------------------------------------\n# Generic operations\n# ---------------------------------------------------------------------------\n\ndef get_user_configs(user_id: str) -> Dict[str, Union[str, List[str]]]:\n\t\"\"\"Return all config key-values for the user.\n\n\t- Aggregate multi values into a list\n\t- If single-type keys are absent, fill with defaults from consts\n\t\"\"\"\n\taggregated = _aggregate_records(get_all_configs_by_user_id(user_id))\n\n\t# Ensure defaults for single-type keys when not present in DB\n\tif MEMORY_SWITCH_KEY not in aggregated:\n\t\taggregated[MEMORY_SWITCH_KEY] = DEFAULT_MEMORY_SWITCH_KEY\n\tif MEMORY_AGENT_SHARE_KEY not in aggregated:\n\t\taggregated[MEMORY_AGENT_SHARE_KEY] = DEFAULT_MEMORY_AGENT_SHARE_KEY\n\n\treturn aggregated\n\n\ndef _update_single_config(user_id: str, config_key: str, config_value: str) -> bool:\n\t\"\"\"Create or update a single-type configuration entry.\"\"\"\n\trecord_list = get_memory_config_info(user_id, config_key)\n\n\tif not record_list:\n\t\t# Insert new record\n\t\tresult = insert_config({\n\t\t\t\"user_id\": user_id,\n\t\t\t\"config_key\": config_key,\n\t\t\t\"config_value\": config_value,\n\t\t\t\"value_type\": _SINGLE_TYPE,\n\t\t\t\"created_by\": user_id,\n\t\t\t\"updated_by\": user_id,\n\t\t})\n\t\tif not result:\n\t\t\tlogger.error(\n\t\t\t\tf\"insert_config failed, user_id={user_id}, key={config_key}, value={config_value}\"\n\t\t\t)\n\t\t\treturn False\n\telse:\n\t\t# Update first record (there should be max one for single type)\n\t\tconfig_id = record_list[0][\"config_id\"]\n\t\tresult = update_config_by_id(config_id, {\n\t\t\t\"config_value\": config_value,\n\t\t\t\"updated_by\": user_id,\n\t\t})\n\t\tif not result:\n\t\t\tlogger.error(\n\t\t\t\tf\"update_config_by_id failed, user_id={user_id}, key={config_key}, value={config_value}\"\n\t\t\t)\n\t\t\treturn False\n\treturn True\n\n\ndef _add_multi_value(user_id: str, config_key: str, value: str) -> bool:\n\t\"\"\"Add a value to a multi-type list if it does not exist.\"\"\"\n\trecord_list = get_memory_config_info(user_id, config_key)\n\tif any(r[\"config_value\"] == value for r in record_list):\n\t\t# Already exists, nothing to do\n\t\treturn True\n\n\tok = insert_config({\n\t\t\"user_id\": user_id,\n\t\t\"config_key\": config_key,\n\t\t\"config_value\": value,\n\t\t\"value_type\": _MULTI_TYPE,\n\t\t\"created_by\": user_id,\n\t\t\"updated_by\": user_id,\n\t})\n\tif not ok:\n\t\tlogger.error(\n\t\t\tf\"insert_config failed, user_id={user_id}, key={config_key}, value={value}\"\n\t\t)\n\treturn ok\n\n\ndef _remove_multi_value(user_id: str, config_key: str, value: str) -> bool:\n\t\"\"\"Soft-delete a specific value from a multi-type configuration list.\"\"\"\n\trecord_list = get_memory_config_info(user_id, config_key)\n\tfor r in record_list:\n\t\tif r[\"config_value\"] == value:\n\t\t\tok = delete_config_by_config_id(r[\"config_id\"], updated_by=user_id)\n\t\t\tif not ok:\n\t\t\t\tlogger.error(\n\t\t\t\t\tf\"delete_config_by_config_id failed, user_id={user_id}, key={config_key}, value={value}\"\n\t\t\t\t)\n\t\t\treturn ok\n\t# Value not found → treat as success\n\treturn True\n\n\n# ---------------------------------------------------------------------------\n# Public service helpers used by API layer\n# ---------------------------------------------------------------------------\n\ndef get_memory_switch(user_id: str) -> bool:\n\tconfigs = get_user_configs(user_id)\n\treturn configs.get(MEMORY_SWITCH_KEY, \"N\") == \"Y\"\n\n\ndef set_memory_switch(user_id: str, enabled: bool) -> bool:\n\treturn _update_single_config(user_id, MEMORY_SWITCH_KEY, \"Y\" if enabled else \"N\")\n\n\n# Agent share (single string among always/ask/never)\ndef get_agent_share(user_id: str) -> MemoryAgentShareMode:\n\tconfigs = get_user_configs(user_id)\n\tmode_str = configs.get(MEMORY_AGENT_SHARE_KEY, MemoryAgentShareMode.NEVER.value)\n\ttry:\n\t\treturn MemoryAgentShareMode(mode_str)\n\texcept ValueError:\n\t\t# Unexpected value, default to NEVER\n\t\treturn MemoryAgentShareMode.NEVER\n\n\ndef set_agent_share(user_id: str, mode: MemoryAgentShareMode) -> bool:\n\treturn _update_single_config(user_id, MEMORY_AGENT_SHARE_KEY, mode.value)\n\n\n# Disable agent id list (multi)\ndef get_disabled_agent_ids(user_id: str) -> List[str]:\n\tconfigs = get_user_configs(user_id)\n\treturn configs.get(DISABLE_AGENT_ID_KEY, [])  # type: ignore[return-value]\n\n\ndef add_disabled_agent_id(user_id: str, agent_id: str) -> bool:\n\treturn _add_multi_value(user_id, DISABLE_AGENT_ID_KEY, agent_id)\n\n\ndef remove_disabled_agent_id(user_id: str, agent_id: str) -> bool:\n\treturn _remove_multi_value(user_id, DISABLE_AGENT_ID_KEY, agent_id)\n\n\n# Disable user-agent id list (multi)\n\ndef get_disabled_useragent_ids(user_id: str) -> List[str]:\n\tconfigs = get_user_configs(user_id)\n\treturn configs.get(DISABLE_USERAGENT_ID_KEY, [])  # type: ignore[return-value]\n\n\ndef add_disabled_useragent_id(user_id: str, ua_id: str) -> bool:\n\treturn _add_multi_value(user_id, DISABLE_USERAGENT_ID_KEY, ua_id)\n\n\ndef remove_disabled_useragent_id(user_id: str, ua_id: str) -> bool:\n\treturn _remove_multi_value(user_id, DISABLE_USERAGENT_ID_KEY, ua_id)\n\n\ndef build_memory_context(user_id: str, tenant_id: str, agent_id: str | int, skip_query: bool = False) -> MemoryContext:\n\tif skip_query:\n\t\t# When memory is forcibly disabled (e.g., debug mode), return minimum context without database queries\n\t\tmemory_user_config = MemoryUserConfig(\n\t\t\tmemory_switch=False,\n\t\t\tagent_share_option=\"never\",\n\t\t\tdisable_agent_ids=[],\n\t\t\tdisable_user_agent_ids=[],\n\t\t)\n\t\treturn MemoryContext(\n\t\t\tuser_config=memory_user_config,\n\t\t\tmemory_config=dict(),\n\t\t\ttenant_id=tenant_id,\n\t\t\tuser_id=user_id,\n\t\t\tagent_id=str(agent_id),\n\t\t)\n\n\tmemory_user_config = MemoryUserConfig(\n\t\tmemory_switch=get_memory_switch(user_id),\n\t\tagent_share_option=get_agent_share(user_id).value,\n\t\tdisable_agent_ids=get_disabled_agent_ids(user_id),\n\t\tdisable_user_agent_ids=get_disabled_useragent_ids(user_id),\n\t)\n\t# If user turn off the memory function, return minimum context directly\n\tif not memory_user_config.memory_switch:\n\t\treturn MemoryContext(\n\t\t\tuser_config=memory_user_config,\n\t\t\tmemory_config=dict(),\n\t\t\ttenant_id=tenant_id,\n\t\t\tuser_id=user_id,\n\t\t\tagent_id=str(agent_id),\n\t\t)\n\n\treturn MemoryContext(\n\t\tuser_config=memory_user_config,\n\t\tmemory_config=build_memory_config(tenant_id),\n\t\ttenant_id=tenant_id,\n\t\tuser_id=user_id,\n\t\tagent_id=str(agent_id),\n\t)\n"
  },
  {
    "path": "backend/services/model_health_service.py",
    "content": "import logging\n\nfrom nexent.core import MessageObserver\nfrom nexent.core.models import OpenAIModel, OpenAIVLModel\nfrom nexent.core.models.embedding_model import JinaEmbedding, OpenAICompatibleEmbedding\n\nfrom services.voice_service import get_voice_service\nfrom consts.const import LOCALHOST_IP, LOCALHOST_NAME, DOCKER_INTERNAL_HOST\nfrom consts.model import ModelConnectStatusEnum\nfrom database.model_management_db import get_model_by_display_name, update_model_record\nfrom utils.config_utils import get_model_name_from_config\n\nlogger = logging.getLogger(\"model_health_service\")\n\n\nasync def _embedding_dimension_check(\n    model_name: str,\n    model_type: str,\n    model_base_url: str,\n    model_api_key: str,\n    ssl_verify: bool = True,\n):\n    # Test connectivity based on different model types\n    if model_type == \"embedding\":\n        embedding = await OpenAICompatibleEmbedding(\n            model_name=model_name,\n            base_url=model_base_url,\n            api_key=model_api_key,\n            embedding_dim=0,\n            ssl_verify=ssl_verify,\n        ).dimension_check()\n        if len(embedding) > 0:\n            return len(embedding[0])\n        logging.warning(\n            f\"Embedding dimension check for {model_name} gets empty response\")\n        return 0\n    elif model_type == \"multi_embedding\":\n        embedding = await JinaEmbedding(\n            model_name=model_name,\n            base_url=model_base_url,\n            api_key=model_api_key,\n            embedding_dim=0,\n            ssl_verify=ssl_verify,\n        ).dimension_check()\n        if len(embedding) > 0:\n            return len(embedding[0])\n        logging.warning(\n            f\"Embedding dimension check for {model_name} gets empty response\")\n        return 0\n    else:\n        raise ValueError(f\"Unsupported model type: {model_type}\")\n\n\nasync def _perform_connectivity_check(\n    model_name: str,\n    model_type: str,\n    model_base_url: str,\n    model_api_key: str,\n    ssl_verify: bool = True,\n) -> bool:\n    \"\"\"\n    Perform specific model connectivity check\n    Args:\n        model_name: Model name\n        model_type: Model type\n        model_base_url: Model base URL\n        model_api_key: API key\n        ssl_verify: Whether to verify SSL certificates (default: True)\n    Returns:\n        bool: Connectivity check result\n    \"\"\"\n    if LOCALHOST_NAME in model_base_url or LOCALHOST_IP in model_base_url:\n        model_base_url = model_base_url.replace(\n            LOCALHOST_NAME, DOCKER_INTERNAL_HOST).replace(LOCALHOST_IP, DOCKER_INTERNAL_HOST)\n\n    connectivity: bool\n\n    # Test connectivity based on different model types\n    if model_type == \"embedding\":\n        connectivity = len(await OpenAICompatibleEmbedding(\n            model_name=model_name,\n            base_url=model_base_url,\n            api_key=model_api_key,\n            embedding_dim=0,\n            ssl_verify=ssl_verify\n        ).dimension_check()) > 0\n    elif model_type == \"multi_embedding\":\n        connectivity = len(await JinaEmbedding(\n            model_name=model_name,\n            base_url=model_base_url,\n            api_key=model_api_key,\n            embedding_dim=0,\n            ssl_verify=ssl_verify\n        ).dimension_check()) > 0\n    elif model_type == \"llm\":\n        observer = MessageObserver()\n        connectivity = await OpenAIModel(\n            observer,\n            model_id=model_name,\n            api_base=model_base_url,\n            api_key=model_api_key,\n            ssl_verify=ssl_verify\n        ).check_connectivity()\n    elif model_type == \"rerank\":\n        connectivity = False\n    elif model_type == \"vlm\":\n        observer = MessageObserver()\n        connectivity = await OpenAIVLModel(\n            observer,\n            model_id=model_name,\n            api_base=model_base_url,\n            api_key=model_api_key,\n            ssl_verify=ssl_verify\n        ).check_connectivity()\n    elif model_type in [\"tts\", \"stt\"]:\n        voice_service = get_voice_service()\n        connectivity = await voice_service.check_voice_connectivity(model_type)\n    else:\n        raise ValueError(f\"Unsupported model type: {model_type}\")\n\n    return connectivity\n\n\nasync def check_model_connectivity(display_name: str, tenant_id: str) -> dict:\n    try:\n        # Query the database using display_name and tenant context from app layer\n        model = get_model_by_display_name(display_name, tenant_id=tenant_id)\n        if not model:\n            raise LookupError(f\"Model configuration not found for {display_name}\")\n\n        # Still use repo/name concatenation for model instantiation\n        repo, name = model.get(\"model_repo\", \"\"), model.get(\"model_name\", \"\")\n        model_name = f\"{repo}/{name}\" if repo else name\n\n        # Set model to \"detecting\" status\n        update_data = {\n            \"connect_status\": ModelConnectStatusEnum.DETECTING.value}\n        update_model_record(model[\"model_id\"], update_data)\n\n        model_type = model[\"model_type\"]\n        model_base_url = model[\"base_url\"]\n        model_api_key = model[\"api_key\"]\n        ssl_verify = model.get(\"ssl_verify\", True)  # Default to True if not present\n\n        try:\n            # Use the common connectivity check function\n            connectivity = await _perform_connectivity_check(\n                model_name, model_type, model_base_url, model_api_key, ssl_verify\n            )\n        except Exception as e:\n            update_data = {\"connect_status\": ModelConnectStatusEnum.UNAVAILABLE.value}\n            logger.error(f\"Error checking model connectivity: {str(e)}\")\n            update_model_record(model[\"model_id\"], update_data)\n            raise e\n\n        if connectivity:\n            logger.info(f\"CONNECTED: {model_name}; Base URL: {model.get('base_url')}; API Key: {model.get('api_key')}\")\n        else:\n            logger.warning(f\"UNCONNECTED: {model_name}; Base URL: {model.get('base_url')}; API Key: {model.get('api_key')}\")\n        connect_status = ModelConnectStatusEnum.AVAILABLE.value if connectivity else ModelConnectStatusEnum.UNAVAILABLE.value\n        update_data = {\"connect_status\": connect_status}\n        update_model_record(model[\"model_id\"], update_data)\n        return {\n            \"connectivity\": connectivity,\n            \"model_name\": model_name,\n        }\n    except Exception as e:\n        logger.error(f\"Error checking model connectivity: {str(e)}\")\n        if 'model' in locals() and model:\n            update_data = {\"connect_status\": ModelConnectStatusEnum.UNAVAILABLE.value}\n            update_model_record(model[\"model_id\"], update_data)\n        # Propagate for app layer to translate into HTTP\n        raise e\n\n\n\n\nasync def verify_model_config_connectivity(model_config: dict):\n    \"\"\"\n    Verify the connectivity of the model configuration, do not save to the database\n    Args:\n        model_config: Model configuration dictionary, containing necessary connection parameters\n    Returns:\n        dict: Contains the result of the connectivity test and error message if failed\n    \"\"\"\n    try:\n        model_name = model_config.get(\"model_name\", \"\")\n        model_type = model_config[\"model_type\"]\n        model_base_url = model_config[\"base_url\"]\n        model_api_key = model_config[\"api_key\"]\n        ssl_verify = model_config.get(\"ssl_verify\", True)  # Default to True if not present\n\n        try:\n            # Use the common connectivity check function\n            connectivity = await _perform_connectivity_check(\n                model_name, model_type, model_base_url, model_api_key, ssl_verify\n            )\n            if not connectivity and ssl_verify:\n                connectivity = await _perform_connectivity_check(\n                    model_name, model_type, model_base_url, model_api_key, False\n                )\n            if not connectivity:\n                return {\n                    \"connectivity\": False,\n                    \"model_name\": model_name,\n                    \"error\": f\"Failed to connect to model '{model_name}' at {model_base_url}. Please verify the URL, API key, and network connection.\"\n                }\n\n            return {\n                \"connectivity\": True,\n                \"model_name\": model_name,\n            }\n        except ValueError as e:\n            error_msg = str(e)\n            logger.warning(f\"UNCONNECTED: {model_name}; Base URL: {model_base_url}; API Key: {model_api_key}; Error: {error_msg}\")\n            return {\n                \"connectivity\": False,\n                \"model_name\": model_name,\n                \"error\": error_msg\n            }\n\n    except Exception as e:\n        error_msg = str(e)\n        logger.error(f\"Failed to check connectivity of models: {error_msg}\")\n        return {\n            \"connectivity\": False,\n            \"model_name\": model_config.get(\"model_name\", \"UNKNOWN_MODEL\"),\n            \"error\": f\"Connection verification failed: {error_msg}\"\n        }\n\n\nasync def embedding_dimension_check(model_config: dict):\n    model_name = get_model_name_from_config(model_config)\n    model_type = model_config[\"model_type\"]\n    model_base_url = model_config[\"base_url\"]\n    model_api_key = model_config[\"api_key\"]\n\n    try:\n        ssl_verify = model_config.get(\"ssl_verify\", True)\n        dimension = await _embedding_dimension_check(\n            model_name, model_type, model_base_url, model_api_key, ssl_verify\n        )\n        return dimension\n    except ValueError as e:\n        logger.error(f\"Error checking embedding dimension: {str(e)}\")\n        return 0\n    except Exception as e:\n        logger.error(f\"Error checking embedding dimension: {model_name}; Base URL: {model_base_url}; Error: {str(e)}\")\n        return 0\n"
  },
  {
    "path": "backend/services/model_management_service.py",
    "content": "import logging\nfrom typing import List, Dict, Any, Optional\n\nfrom consts.const import LOCALHOST_IP, LOCALHOST_NAME, DOCKER_INTERNAL_HOST\nfrom consts.model import ModelConnectStatusEnum\nfrom consts.provider import ProviderEnum, SILICON_BASE_URL, DASHSCOPE_BASE_URL, TOKENPONY_BASE_URL\n\nfrom database.model_management_db import (\n    create_model_record,\n    delete_model_record,\n    get_model_by_display_name,\n    get_models_by_display_name,\n    get_model_records,\n    get_models_by_tenant_factory_type,\n    update_model_record,\n)\nfrom services.model_provider_service import (\n    prepare_model_dict,\n    merge_existing_model_tokens,\n    get_provider_models,\n)\nfrom services.model_health_service import embedding_dimension_check\nfrom utils.model_name_utils import (\n    add_repo_to_name,\n    split_repo_name,\n    sort_models_by_id,\n)\nfrom utils.memory_utils import build_memory_config as build_memory_config_for_tenant\nfrom services.vectordatabase_service import get_vector_db_core\nfrom nexent.memory.memory_service import clear_model_memories\n\nlogger = logging.getLogger(\"model_management_service\")\n\n\nasync def create_model_for_tenant(user_id: str, tenant_id: str, model_data: Dict[str, Any]):\n    \"\"\"Create a single model record for the given tenant.\n\n    Raises ValueError on display name conflict or invalid input.\n    \"\"\"\n    try:\n        # Replace localhost with host.docker.internal for local llm\n        model_base_url = model_data.get(\"base_url\", \"\")\n        if LOCALHOST_NAME in model_base_url or LOCALHOST_IP in model_base_url:\n            model_data[\"base_url\"] = (\n                model_base_url.replace(LOCALHOST_NAME, DOCKER_INTERNAL_HOST)\n                .replace(LOCALHOST_IP, DOCKER_INTERNAL_HOST)\n            )\n        model_data['ssl_verify'] = True\n        if \"open/router\" in model_base_url:\n            model_data['ssl_verify'] = False\n        # Split model_name into repo and name\n        model_repo, model_name = split_repo_name(\n            model_data[\"model_name\"]) if model_data.get(\"model_name\") else (\"\", \"\")\n        model_data[\"model_repo\"] = model_repo if model_repo else \"\"\n        model_data[\"model_name\"] = model_name\n\n        if not model_data.get(\"display_name\"):\n            model_data[\"display_name\"] = add_repo_to_name(\n                model_repo=model_data.get(\"model_repo\", \"\"),\n                model_name=model_data.get(\"model_name\", \"\")\n            )\n\n        # Use NOT_DETECTED status as default\n        model_data[\"connect_status\"] = model_data.get(\n            \"connect_status\") or ModelConnectStatusEnum.NOT_DETECTED.value\n\n        # Check display name conflict scoped by tenant\n        if model_data.get(\"display_name\"):\n            existing_model_by_display = get_model_by_display_name(\n                model_data[\"display_name\"], tenant_id)\n            if existing_model_by_display:\n                logging.error(\n                    f\"Name {model_data['display_name']} is already in use, please choose another display name\")\n                raise ValueError(\n                    f\"Name {model_data['display_name']} is already in use, please choose another display name\")\n\n        # If embedding or multi_embedding, set max_tokens via embedding dimension check\n        if model_data.get(\"model_type\") in (\"embedding\", \"multi_embedding\"):\n            model_data[\"max_tokens\"] = await embedding_dimension_check(model_data)\n            # Set default chunk_batch if not provided\n            if model_data.get(\"chunk_batch\") is None:\n                model_data[\"chunk_batch\"] = 10\n\n        is_multimodal = model_data.get(\"model_type\") == \"multi_embedding\"\n\n        if is_multimodal:\n            # Create multi_embedding record\n            create_model_record(model_data, user_id, tenant_id)\n            logging.debug(\n                f\"Multimodal embedding model {model_data['display_name']} created successfully\")\n\n            # Create embedding record variant\n            embedding_data = model_data.copy()\n            embedding_data[\"model_type\"] = \"embedding\"\n            create_model_record(embedding_data, user_id, tenant_id)\n            logging.debug(\n                f\"Embedding model {embedding_data['display_name']} created successfully\")\n        else:\n            # Non-multimodal\n            create_model_record(model_data, user_id, tenant_id)\n            logging.debug(\n                f\"Model {model_data['display_name']} created successfully\")\n    except Exception as e:\n        logging.error(f\"Failed to create model: {str(e)}\")\n        raise Exception(f\"Failed to create model: {str(e)}\")\n\n\nasync def create_provider_models_for_tenant(tenant_id: str, provider_request: Dict[str, Any]):\n    \"\"\"Create/refresh provider models in memory and merge existing attributes.\n\n    Returns content dict with list data. Does not persist new records.\n    \"\"\"\n    try:\n        # Get provider model list\n        model_list = await get_provider_models(provider_request)\n\n        # Merge existing model's max_tokens attribute\n        model_list = merge_existing_model_tokens(\n            model_list, tenant_id, provider_request[\"provider\"], provider_request[\"model_type\"])\n\n        # Sort model list by ID\n        model_list = sort_models_by_id(model_list)\n\n        logging.debug(\n            f\"Provider model {provider_request['provider']} created successfully\")\n        return model_list\n    except Exception as e:\n        logging.error(f\"Failed to create provider models: {str(e)}\")\n        raise Exception(f\"Failed to create provider models: {str(e)}\")\n\n\nasync def batch_create_models_for_tenant(user_id: str, tenant_id: str, batch_payload: Dict[str, Any]):\n    \"\"\"Synchronize provider models for a tenant by creating/updating/deleting records.\"\"\"\n    try:\n        provider = batch_payload[\"provider\"]\n        model_type = batch_payload[\"type\"]\n        model_list: List[Dict[str, Any]] = batch_payload.get(\"models\", [])\n        model_api_key: str = batch_payload.get(\"api_key\", \"\")\n\n        if provider == ProviderEnum.SILICON.value:\n            model_url = SILICON_BASE_URL\n        elif provider == ProviderEnum.MODELENGINE.value:\n            # ModelEngine models carry their own base_url in each model dict\n            model_url = \"\"\n        elif provider == ProviderEnum.DASHSCOPE.value:\n            model_url = DASHSCOPE_BASE_URL\n        elif provider == ProviderEnum.TOKENPONY.value:\n            model_url = TOKENPONY_BASE_URL\n        else:\n            model_url = \"\"\n\n        existing_model_list = get_models_by_tenant_factory_type(\n            tenant_id, provider, model_type)\n        model_list_ids = {model.get(\"id\")\n                          for model in model_list} if model_list else set()\n\n        # Delete existing models not present\n        for model in existing_model_list:\n            model_full_name = model[\"model_repo\"] + \"/\" + model[\"model_name\"]\n            if model_full_name not in model_list_ids:\n                delete_model_record(model[\"model_id\"], user_id, tenant_id)\n\n        # Create or update new models\n        for model in model_list:\n            _, model_name = split_repo_name(\n                model[\"id\"]) if model.get(\"id\") else (\"\", \"\")\n            model_repo, model_name_only = split_repo_name(\n                model.get(\"id\", \"\")) if model.get(\"id\") else (\"\", \"\")\n            model_display_name = add_repo_to_name(model_repo, model_name_only)\n            if model_name:\n                existing_model_by_display = get_model_by_display_name(\n                    model_display_name, tenant_id)\n                if existing_model_by_display:\n                    # Check if max_tokens has changed\n                    existing_max_tokens = existing_model_by_display.get(\n                        \"max_tokens\")\n                    new_max_tokens = model.get(\"max_tokens\")\n                    if new_max_tokens is not None and existing_max_tokens != new_max_tokens:\n                        update_model_record(existing_model_by_display[\"model_id\"], {\n                                            \"max_tokens\": new_max_tokens}, user_id)\n                    continue\n\n            model_dict = await prepare_model_dict(\n                provider=provider,\n                model=model,\n                model_url=model_url,\n                model_api_key=model_api_key,\n            )\n            create_model_record(model_dict, user_id, tenant_id)\n            logging.debug(f\"Model {model['id']} created successfully\")\n    except Exception as e:\n        logging.error(f\"Failed to batch create models: {str(e)}\")\n        raise Exception(f\"Failed to batch create models: {str(e)}\")\n\n\nasync def list_provider_models_for_tenant(tenant_id: str, provider: str, model_type: str):\n    \"\"\"List persisted models for a provider/type for a tenant.\"\"\"\n    try:\n        model_list = get_models_by_tenant_factory_type(\n            tenant_id, provider, model_type)\n        for model in model_list:\n            model[\"id\"] = model[\"model_repo\"] + \"/\" + model[\"model_name\"]\n\n        logging.debug(f\"Provider model {provider} created successfully\")\n        return model_list\n    except Exception as e:\n        logging.error(f\"Failed to list provider models: {str(e)}\")\n        raise Exception(f\"Failed to list provider models: {str(e)}\")\n\n\nasync def update_single_model_for_tenant(\n    user_id: str,\n    tenant_id: str,\n    current_display_name: str,\n    model_data: Dict[str, Any]\n):\n    \"\"\"Update model(s) by current display_name. If embedding/multi_embedding, update both types.\n\n    Args:\n        user_id: The user performing the update.\n        tenant_id: The tenant context.\n        current_display_name: The current display_name used to look up the model(s).\n        model_data: The fields to update, which may include a new display_name.\n\n    Raises:\n        LookupError: If no model is found with the current_display_name.\n        ValueError: If a new display_name conflicts with an existing model.\n    \"\"\"\n    try:\n        # Get all models with the current display_name (may be 1 or 2 for embedding types)\n        existing_models = get_models_by_display_name(current_display_name, tenant_id)\n\n        if not existing_models:\n            raise LookupError(f\"Model not found: {current_display_name}\")\n\n        # Check if a new display_name is being set and if it conflicts\n        new_display_name = model_data.get(\"display_name\")\n        if new_display_name and new_display_name != current_display_name:\n            conflict_models = get_models_by_display_name(new_display_name, tenant_id)\n            if conflict_models:\n                raise ValueError(\n                    f\"Name {new_display_name} is already in use, please choose another display name\"\n                )\n\n        # Check if any of the existing models is multi_embedding\n        has_multi_embedding = any(\n            m.get(\"model_type\") == \"multi_embedding\" for m in existing_models\n        )\n\n        if has_multi_embedding:\n            # Update both embedding and multi_embedding records\n            for model in existing_models:\n                # Prepare update data, excluding model_type to preserve original type\n                update_data = {k: v for k, v in model_data.items() if k not in [\"model_id\", \"model_type\"]}\n                update_model_record(model[\"model_id\"], update_data, user_id)\n            logging.debug(\n                f\"Model {current_display_name} (embedding + multi_embedding) updated successfully\")\n        else:\n            # Single model update\n            current_model = existing_models[0]\n            current_model_id = current_model[\"model_id\"]\n            update_data = {k: v for k, v in model_data.items() if k != \"model_id\"}\n            update_model_record(current_model_id, update_data, user_id)\n            logging.debug(f\"Model {current_display_name} updated successfully\")\n    except LookupError:\n        raise\n    except ValueError:\n        raise\n    except Exception as e:\n        logging.error(f\"Failed to update model: {str(e)}\")\n        raise Exception(f\"Failed to update model: {str(e)}\")\n\n\nasync def batch_update_models_for_tenant(user_id: str, tenant_id: str, model_list: List[Dict[str, Any]]):\n    \"\"\"Batch update models for a tenant.\"\"\"\n    try:\n        for model in model_list:\n            update_model_record(model[\"model_id\"], model, user_id, tenant_id)\n\n        logging.debug(\"Batch update models successfully\")\n    except Exception as e:\n        logging.error(f\"Failed to batch update models: {str(e)}\")\n        raise Exception(f\"Failed to batch update models: {str(e)}\")\n\n\nasync def delete_model_for_tenant(user_id: str, tenant_id: str, display_name: str):\n    \"\"\"Delete model(s) by display_name. If embedding/multi_embedding, delete both types.\"\"\"\n    try:\n        # Get all models with this display_name (may be 1 or 2 for embedding types)\n        models = get_models_by_display_name(display_name, tenant_id)\n        if not models:\n            raise LookupError(f\"Model not found: {display_name}\")\n\n        deleted_types: List[str] = []\n\n        # Check if any of the models is multi_embedding (which means we have both types)\n        has_multi_embedding = any(\n            m.get(\"model_type\") == \"multi_embedding\" for m in models\n        )\n\n        if has_multi_embedding:\n            # Best-effort memory cleanup for embedding models\n            try:\n                vdb_core = get_vector_db_core()\n                base_memory_config = build_memory_config_for_tenant(tenant_id)\n                for m in models:\n                    try:\n                        await clear_model_memories(\n                            vdb_core=vdb_core,\n                            model_repo=m.get(\"model_repo\", \"\"),\n                            model_name=m.get(\"model_name\", \"\"),\n                            embedding_dims=int(m.get(\"max_tokens\") or 0),\n                            base_memory_config=base_memory_config,\n                        )\n                    except Exception as cleanup_exc:\n                        logger.warning(\n                            \"Best-effort clear_model_memories failed for %s/%s dims=%s: %s\",\n                            m.get(\"model_repo\", \"\"),\n                            m.get(\"model_name\", \"\"),\n                            m.get(\"max_tokens\"),\n                            cleanup_exc,\n                        )\n            except Exception as outer_cleanup_exc:\n                logger.warning(\n                    \"Memory cleanup preparation failed: %s\", outer_cleanup_exc)\n\n            # Delete all records with the same display_name\n            for m in models:\n                delete_model_record(m[\"model_id\"], user_id, tenant_id)\n                deleted_types.append(m.get(\"model_type\", \"unknown\"))\n        else:\n            # Single model delete\n            model = models[0]\n            delete_model_record(model[\"model_id\"], user_id, tenant_id)\n            deleted_types.append(model.get(\"model_type\", \"unknown\"))\n\n        logging.debug(\n            f\"Successfully deleted model(s) in types: {', '.join(deleted_types)}\")\n        return display_name\n    except LookupError:\n        raise\n    except Exception as e:\n        logging.error(f\"Failed to delete model: {str(e)}\")\n        raise Exception(f\"Failed to delete model: {str(e)}\")\n\n\nasync def list_models_for_tenant(tenant_id: str):\n    \"\"\"Get detailed information for all models for a tenant with normalized fields.\"\"\"\n    try:\n        records = get_model_records(None, tenant_id)\n        result: List[Dict[str, Any]] = []\n\n        # Type mapping for backwards compatibility (chat -> llm for frontend)\n        type_map = {\n            \"chat\": \"llm\",\n        }\n\n        for record in records:\n            record[\"model_name\"] = add_repo_to_name(\n                model_repo=record[\"model_repo\"],\n                model_name=record[\"model_name\"],\n            )\n            record[\"connect_status\"] = ModelConnectStatusEnum.get_value(\n                record.get(\"connect_status\"))\n\n            # Map model_type if necessary (for ModelEngine compatibility)\n            if record.get(\"model_type\") in type_map:\n                record[\"model_type\"] = type_map[record[\"model_type\"]]\n\n            result.append(record)\n\n        logging.debug(\"Successfully retrieved model list\")\n        return result\n    except Exception as e:\n        logging.error(f\"Failed to retrieve model list: {str(e)}\")\n        raise Exception(f\"Failed to retrieve model list: {str(e)}\")\n\n\nasync def list_llm_models_for_tenant(tenant_id: str):\n    \"\"\"Get detailed information for all models for a tenant with normalized fields.\"\"\"\n    try:\n        records = get_model_records({\"model_type\": \"llm\"}, tenant_id)\n        result: List[Dict[str, Any]] = []\n        for record in records:\n            result.append({\n                \"model_id\": record[\"model_id\"],\n                \"model_name\": add_repo_to_name(\n                    model_repo=record[\"model_repo\"],\n                    model_name=record[\"model_name\"],\n                ),\n                \"connect_status\": ModelConnectStatusEnum.get_value(record.get(\"connect_status\")),\n                \"display_name\": record[\"display_name\"],\n                \"api_key\": record.get(\"api_key\", \"\"),\n                \"base_url\": record.get(\"base_url\", \"\"),\n                \"max_tokens\": record.get(\"max_tokens\", 4096)\n            })\n\n        logging.debug(\"Successfully retrieved model list\")\n        return result\n    except Exception as e:\n        logging.error(f\"Failed to retrieve model list: {str(e)}\")\n        raise Exception(f\"Failed to retrieve model list: {str(e)}\")\n\n\nasync def list_models_for_admin(\n    tenant_id: str,\n    model_type: Optional[str] = None,\n    page: int = 1,\n    page_size: int = 20\n) -> Dict[str, Any]:\n    \"\"\"Get models for a specified tenant (admin operation) with pagination.\n\n    Args:\n        tenant_id: Target tenant ID to query models for\n        model_type: Optional model type filter (e.g., 'llm', 'embedding')\n        page: Page number for pagination (1-indexed)\n        page_size: Number of items per page\n\n    Returns:\n        Dict containing tenant_id, tenant_name, paginated models list, and pagination info\n    \"\"\"\n    try:\n        # Build filters\n        filters = None\n        if model_type:\n            filters = {\"model_type\": model_type}\n\n        # Get model records for the specified tenant\n        records = get_model_records(filters, tenant_id)\n\n        # Type mapping for backwards compatibility\n        type_map = {\n            \"chat\": \"llm\",\n        }\n\n        # Normalize model records\n        normalized_models: List[Dict[str, Any]] = []\n        for record in records:\n            record[\"model_name\"] = add_repo_to_name(\n                model_repo=record[\"model_repo\"],\n                model_name=record[\"model_name\"],\n            )\n            record[\"connect_status\"] = ModelConnectStatusEnum.get_value(\n                record.get(\"connect_status\"))\n\n            # Map model_type if necessary\n            if record.get(\"model_type\") in type_map:\n                record[\"model_type\"] = type_map[record[\"model_type\"]]\n\n            normalized_models.append(record)\n\n        # Calculate pagination\n        total = len(normalized_models)\n        total_pages = (total + page_size - 1) // page_size if page_size > 0 else 0\n        start_index = (page - 1) * page_size\n        end_index = start_index + page_size\n        paginated_models = normalized_models[start_index:end_index]\n\n        # Get tenant name\n        from services.tenant_service import get_tenant_info\n        try:\n            tenant_info = get_tenant_info(tenant_id)\n            tenant_name = tenant_info.get(\"tenant_name\", \"\")\n        except Exception:\n            tenant_name = \"\"\n\n        result = {\n            \"tenant_id\": tenant_id,\n            \"tenant_name\": tenant_name,\n            \"models\": paginated_models,\n            \"total\": total,\n            \"page\": page,\n            \"page_size\": page_size,\n            \"total_pages\": total_pages\n        }\n\n        logging.debug(f\"Successfully retrieved admin model list for tenant: {tenant_id}, page: {page}, page_size: {page_size}\")\n        return result\n    except Exception as e:\n        logging.error(f\"Failed to retrieve admin model list: {str(e)}\")\n        raise Exception(f\"Failed to retrieve admin model list: {str(e)}\")\n\n\n\n\n"
  },
  {
    "path": "backend/services/model_provider_service.py",
    "content": "import logging\nfrom typing import List\n\nfrom consts.const import (\n    DEFAULT_EXPECTED_CHUNK_SIZE,\n    DEFAULT_MAXIMUM_CHUNK_SIZE,\n)\nfrom consts.model import ModelConnectStatusEnum, ModelRequest\nfrom consts.provider import ProviderEnum\nfrom database.model_management_db import get_models_by_tenant_factory_type\nfrom services.model_health_service import embedding_dimension_check\nfrom services.providers.base import AbstractModelProvider\nfrom services.providers.silicon_provider import SiliconModelProvider\nfrom services.providers.tokenpony_provider import TokenPonyModelProvider\nfrom services.providers.dashscope_provider import DashScopeModelProvider\nfrom services.providers.modelengine_provider import ModelEngineProvider, get_model_engine_raw_url, MODEL_ENGINE_NORTH_PREFIX\nfrom utils.model_name_utils import split_repo_name, add_repo_to_name\n\nlogger = logging.getLogger(\"model_provider\")\n\n\n# =============================================================================\n# Provider Factory and Public API\n# =============================================================================\n\n\nasync def get_provider_models(model_data: dict) -> List[dict]:\n    \"\"\"\n    Get model list based on provider.\n\n    Args:\n        model_data: Model data containing provider information\n\n    Returns:\n        List of models from the specified provider\n    \"\"\"\n    model_list = []\n\n    if model_data[\"provider\"] == ProviderEnum.SILICON.value:\n        provider = SiliconModelProvider()\n        model_list = await provider.get_models(model_data)\n    elif model_data[\"provider\"] == ProviderEnum.MODELENGINE.value:\n        provider = ModelEngineProvider()\n        model_list = await provider.get_models(model_data)\n    elif model_data[\"provider\"] == ProviderEnum.DASHSCOPE.value:\n        provider = DashScopeModelProvider()\n        model_list = await provider.get_models(model_data)\n    elif model_data[\"provider\"] == ProviderEnum.TOKENPONY.value:\n        provider = TokenPonyModelProvider()\n        model_list = await provider.get_models(model_data)\n\n    return model_list\n\n\n# =============================================================================\n# Model Dictionary Preparation\n# =============================================================================\n\n\nasync def prepare_model_dict(provider: str, model: dict, model_url: str, model_api_key: str) -> dict:\n    \"\"\"\n    Construct a model configuration dictionary that is ready to be stored in the\n    database. This utility centralises the logic that was previously embedded in\n    the *batch_create_models* route so that it can be reused elsewhere and keep\n    the router implementation concise.\n\n    Args:\n        provider: Name of the model provider (e.g. \"silicon\", \"openai\", \"modelengine\").\n        model:      A single model item coming from the provider list.\n        model_url:  Base URL for the provider API.\n        model_api_key: API key that should be saved together with the model.\n\n    Returns:\n        A dictionary ready to be passed to *create_model_record*.\n    \"\"\"\n    # Split repo/name once so it can be reused multiple times.\n    model_repo, model_name = split_repo_name(model[\"id\"])\n    model_display_name = add_repo_to_name(model_repo, model_name)\n\n    # Initialize chunk size variables for all model types; only embeddings use them\n    expected_chunk_size = None\n    maximum_chunk_size = None\n    chunk_batch = None\n\n    # For embedding models, apply default values when chunk sizes are null\n    if model[\"model_type\"] in [\"embedding\", \"multi_embedding\"]:\n        expected_chunk_size = model.get(\n            \"expected_chunk_size\", DEFAULT_EXPECTED_CHUNK_SIZE)\n        maximum_chunk_size = model.get(\n            \"maximum_chunk_size\", DEFAULT_MAXIMUM_CHUNK_SIZE)\n        chunk_batch = model.get(\"chunk_batch\", 10)\n\n    # For ModelEngine provider, extract the host from model's base_url\n    # We'll append the correct path later\n    if provider == ProviderEnum.MODELENGINE.value:\n        # Get the raw host URL from model (e.g., \"https://120.253.225.102:50001\")\n        raw_model_url = model.get(\"base_url\", \"\")\n        model_url = get_model_engine_raw_url(raw_model_url)\n\n    # Build the canonical representation using the existing Pydantic schema for\n    # consistency of validation and default handling.\n    # For embedding/multi_embedding models, max_tokens will be set via connectivity check later,\n    # so use 0 as placeholder if not provided\n    model_type = model[\"model_type\"]\n    is_embedding_type = model_type in [\"embedding\", \"multi_embedding\"]\n    max_tokens_value = model.get(\n        \"max_tokens\", 0) if not is_embedding_type else 0\n\n    model_obj = ModelRequest(\n        model_factory=provider,\n        model_name=model_name,\n        model_type=model_type,\n        api_key=model_api_key,\n        max_tokens=max_tokens_value,\n        display_name=model_display_name,\n        expected_chunk_size=expected_chunk_size,\n        maximum_chunk_size=maximum_chunk_size,\n        chunk_batch=chunk_batch\n    )\n\n    model_dict = model_obj.model_dump()\n    model_dict[\"model_repo\"] = model_repo or \"\"\n\n    # Determine the correct base_url and, for embeddings, update the actual\n    # dimension by performing a real connectivity check.\n    if model[\"model_type\"] in [\"embedding\", \"multi_embedding\"]:\n        if provider != ProviderEnum.MODELENGINE.value:\n            # Ensure proper slash between base URL and endpoint\n            model_dict[\"base_url\"] = f\"{model_url.rstrip('/')}/embeddings\"\n        else:\n            # For ModelEngine embedding models, append the embeddings path\n            model_dict[\"base_url\"] = f\"{model_url.rstrip('/')}/{MODEL_ENGINE_NORTH_PREFIX}/embeddings\"\n        # The embedding dimension might differ from the provided max_tokens.\n        model_dict[\"max_tokens\"] = await embedding_dimension_check(model_dict)\n    else:\n        # For non-embedding models\n        if provider == ProviderEnum.MODELENGINE.value:\n            # Ensure ModelEngine models have the full API path\n            model_dict[\"base_url\"] = f\"{model_url.rstrip('/')}/{MODEL_ENGINE_NORTH_PREFIX}\"\n        else:\n            model_dict[\"base_url\"] = model_url\n\n    # ModelEngine models don't support SSL verification\n    if provider == ProviderEnum.MODELENGINE.value:\n        model_dict[\"ssl_verify\"] = False\n\n    # All newly created models start in NOT_DETECTED status.\n    model_dict[\"connect_status\"] = ModelConnectStatusEnum.NOT_DETECTED.value\n\n    return model_dict\n\n\ndef merge_existing_model_tokens(model_list: List[dict], tenant_id: str, provider: str, model_type: str) -> List[dict]:\n    \"\"\"\n    Merge existing model's max_tokens attribute into the model list.\n\n    Args:\n        model_list: List of models\n        tenant_id: Tenant ID\n        provider: Provider\n        model_type: Model type\n\n    Returns:\n        List[dict]: Merged model list\n    \"\"\"\n    if model_type == \"embedding\" or model_type == \"multi_embedding\":\n        return model_list\n\n    existing_model_list = get_models_by_tenant_factory_type(\n        tenant_id, provider, model_type)\n\n    if not model_list or not existing_model_list:\n        return model_list\n\n    # Create a mapping table for existing models for quick lookup\n    existing_model_map = {}\n    for existing_model in existing_model_list:\n        model_full_name = existing_model[\"model_repo\"] + \\\n            \"/\" + existing_model[\"model_name\"]\n        existing_model_map[model_full_name] = existing_model\n\n    # Iterate through the model list, if the model exists in the existing model list, add max_tokens attribute\n    for model in model_list:\n        if model.get(\"id\") in existing_model_map:\n            model[\"max_tokens\"] = existing_model_map[model.get(\n                \"id\")].get(\"max_tokens\")\n\n    return model_list\n\n\n# Re-export provider classes for backward compatibility\n__all__ = [\n    \"AbstractModelProvider\",\n    \"SiliconModelProvider\",\n    \"ModelEngineProvider\",\n    \"prepare_model_dict\",\n    \"merge_existing_model_tokens\",\n    \"get_provider_models\",\n    \"get_model_engine_raw_url\",\n]\n"
  },
  {
    "path": "backend/services/northbound_service.py",
    "content": "import asyncio\nimport hashlib\nimport logging\nimport time\nfrom dataclasses import dataclass\nfrom typing import Any, Dict, Optional\n\nfrom fastapi.responses import StreamingResponse\n\nfrom consts.exceptions import (\n    LimitExceededError,\n    UnauthorizedError,\n)\nfrom consts.model import AgentRequest\nfrom database.conversation_db import get_conversation_messages\nfrom database.token_db import log_token_usage, get_latest_usage_metadata\nfrom services.agent_service import (\n    run_agent_stream,\n    stop_agent_tasks,\n    list_all_agent_info_impl,\n    get_agent_id_by_name\n)\nfrom services.conversation_management_service import (\n    save_conversation_user,\n    get_conversation_list_service,\n    create_new_conversation,\n    update_conversation_title as update_conversation_title_service,\n)\n\nlogger = logging.getLogger(\"northbound_service\")\n\n\n@dataclass\nclass NorthboundContext:\n    request_id: str\n    tenant_id: str\n    user_id: str\n    authorization: str\n    token_id: int = 0\n\n\n# -----------------------------\n# In-memory idempotency and rate limit placeholders\n# -----------------------------\n_IDEMPOTENCY_RUNNING: Dict[str, float] = {}\n_IDEMPOTENCY_TTL_SECONDS_DEFAULT = 10 * 60\n_IDEMPOTENCY_LOCK = asyncio.Lock()\n\n_RATE_LIMIT_PER_MINUTE = 120  # simple default quota per tenant per minute\n_RATE_STATE: Dict[str, Dict[str, int]] = {}\n_RATE_LOCK = asyncio.Lock()\n\n\ndef _now_seconds() -> float:\n    return time.time()\n\n\ndef _minute_bucket(ts: Optional[float] = None) -> str:\n    t = int((ts or _now_seconds()) // 60)\n    return str(t)\n\n\nasync def idempotency_start(key: str, ttl_seconds: Optional[int] = None) -> None:\n    async with _IDEMPOTENCY_LOCK:\n        # purge expired\n        now = _now_seconds()\n        expired = [k for k, v in _IDEMPOTENCY_RUNNING.items() if now - v > (ttl_seconds or _IDEMPOTENCY_TTL_SECONDS_DEFAULT)]\n        for k in expired:\n            _IDEMPOTENCY_RUNNING.pop(k, None)\n        if key in _IDEMPOTENCY_RUNNING:\n            raise LimitExceededError(\"Duplicate request is still running, please wait.\")\n        _IDEMPOTENCY_RUNNING[key] = now\n\n\nasync def idempotency_end(key: str) -> None:\n    async with _IDEMPOTENCY_LOCK:\n        _IDEMPOTENCY_RUNNING.pop(key, None)\n\n\nasync def _release_idempotency_after_delay(key: str, seconds: int = 3) -> None:\n    await asyncio.sleep(seconds)\n    await idempotency_end(key)\n\n\nasync def check_and_consume_rate_limit(tenant_id: str) -> None:\n    bucket = _minute_bucket()\n    async with _RATE_LOCK:\n        state = _RATE_STATE.setdefault(tenant_id, {})\n        count = state.get(bucket, 0)\n        if count >= _RATE_LIMIT_PER_MINUTE:\n            raise LimitExceededError(\"Query rate exceeded limit. Please try again later\")\n        state[bucket] = count + 1\n        # cleanup old buckets, keep only current\n        for b in list(state.keys()):\n            if b != bucket:\n                state.pop(b, None)\n\n\ndef _build_idempotency_key(*parts: Any) -> str:\n    \"\"\"Compose a generic idempotency key from arbitrary parts.\n\n    Long text components (\\u003e64 chars) are replaced with their SHA256 hash to avoid extremely long keys.\n    \"\"\"\n    processed = []\n    for p in parts:\n        s = \"\" if p is None else str(p)\n        # Hash very long segments to keep key length reasonable\n        if len(s) > 64:\n            s = hashlib.sha256(s.encode(\"utf-8\")).hexdigest()\n        processed.append(s)\n    return \":\".join(processed)\n\n\n# -----------------------------\n# Agent resolver\n# -----------------------------\nasync def get_agent_info_by_name(agent_name: str, tenant_id: str) -> int:\n    try:\n        return await get_agent_id_by_name(agent_name=agent_name, tenant_id=tenant_id)\n    except Exception as _:\n        raise Exception(f\"Failed to get agent id for agent_name: {agent_name} in tenant_id: {tenant_id}\")\n\n\nasync def start_streaming_chat(\n    ctx: NorthboundContext,\n    conversation_id: Optional[int],\n    agent_name: str,\n    query: str,\n    meta_data: Optional[Dict[str, Any]] = None,\n    idempotency_key: Optional[str] = None\n) -> StreamingResponse:\n    try:\n        # Simple rate limit\n        await check_and_consume_rate_limit(ctx.tenant_id)\n\n        # If conversation_id is not provided, create a new conversation\n        if conversation_id is None:\n            logging.info(\"No conversation_id provided, creating a new conversation\")\n            new_conversation = create_new_conversation(title=\"New Conversation\", user_id=ctx.user_id)\n            conversation_id = new_conversation[\"conversation_id\"]\n            logging.info(f\"Created new conversation with id: {conversation_id}\")\n\n        internal_conversation_id = conversation_id\n\n        # Get history according to internal_conversation_id\n        history_resp = await get_conversation_history_internal(ctx, internal_conversation_id)\n        agent_id = await get_agent_id_by_name(agent_name=agent_name, tenant_id=ctx.tenant_id)\n        # Idempotency: only prevent concurrent duplicate starts\n        composed_key = idempotency_key or _build_idempotency_key(ctx.tenant_id, str(conversation_id), agent_id, query)\n        await idempotency_start(composed_key)\n        agent_request = AgentRequest(\n            conversation_id=internal_conversation_id,\n            agent_id=agent_id,\n            query=query,\n            history=(history_resp.get(\"data\", {})).get(\"history\", []),\n            minio_files=None,\n            is_debug=False,\n        )\n\n        # Synchronously persist the user message before starting the stream to avoid race conditions\n        try:\n            save_conversation_user(\n                agent_request, user_id=ctx.user_id, tenant_id=ctx.tenant_id)\n        except Exception as e:\n            raise Exception(f\"Failed to persist user message: {str(e)}\")\n\n    except LimitExceededError as _:\n        raise LimitExceededError(\"Query rate exceeded limit. Please try again later.\")\n    except UnauthorizedError as _:\n        raise UnauthorizedError(\"Cannot authenticate.\")\n    except Exception as e:\n        raise Exception(f\"Failed to start streaming chat for conversation_id {conversation_id}: {str(e)}\")\n\n    try:\n        response = await run_agent_stream(\n            agent_request=agent_request,\n            http_request=None,\n            authorization=ctx.authorization,\n            user_id=ctx.user_id,\n            tenant_id=ctx.tenant_id,\n            skip_user_save=True,\n        )\n    finally:\n        if composed_key:\n            asyncio.create_task(_release_idempotency_after_delay(composed_key))\n\n    # Log token usage\n    if ctx.token_id > 0:\n        try:\n            log_token_usage(\n                token_id=ctx.token_id,\n                call_function_name=\"run_chat\",\n                related_id=conversation_id,\n                created_by=ctx.user_id,\n                metadata=meta_data\n            )\n        except Exception as e:\n            logger.warning(f\"Failed to log token usage: {str(e)}\")\n\n    # Attach request id header and conversation_id (internal id)\n    response.headers[\"X-Request-Id\"] = ctx.request_id\n    response.headers[\"conversation_id\"] = str(conversation_id)\n    return response\n\n\nasync def stop_chat(ctx: NorthboundContext, conversation_id: int, meta_data: Optional[Dict[str, Any]] = None) -> Dict[str, Any]:\n    try:\n        stop_result = stop_agent_tasks(conversation_id, ctx.user_id)\n\n        # Log token usage\n        if ctx.token_id > 0:\n            try:\n                log_token_usage(\n                    token_id=ctx.token_id,\n                    call_function_name=\"stop_chat_stream\",\n                    related_id=conversation_id,\n                    created_by=ctx.user_id,\n                    metadata=meta_data\n                )\n            except Exception as e:\n                logger.warning(f\"Failed to log token usage: {str(e)}\")\n\n        return {\"message\": stop_result.get(\"message\", \"success\"), \"data\": conversation_id, \"requestId\": ctx.request_id}\n    except Exception as e:\n        raise Exception(f\"Failed to stop chat for conversation_id {conversation_id}: {str(e)}\")\n\n\nasync def list_conversations(ctx: NorthboundContext) -> Dict[str, Any]:\n    conversations = get_conversation_list_service(ctx.user_id)\n    # get_conversation_list_service is sync\n\n    # Add meta_data from token usage log if available\n    if ctx.token_id > 0:\n        for item in conversations:\n            # Ensure we do not leak empty meta_data keys\n            if \"meta_data\" in item and not item.get(\"meta_data\"):\n                item.pop(\"meta_data\", None)\n\n            conversation_id = item.get(\"conversation_id\")\n            if conversation_id:\n                try:\n                    meta_data = get_latest_usage_metadata(\n                        token_id=ctx.token_id,\n                        related_id=int(conversation_id),\n                        call_function_name=\"run_chat\"\n                    )\n                    # Only return meta_data when there is a usage log record and meta_data is non-empty\n                    if meta_data:\n                        item[\"meta_data\"] = meta_data\n                    else:\n                        item.pop(\"meta_data\", None)\n                except Exception as e:\n                    logger.warning(f\"Failed to get meta_data for conversation {conversation_id}: {str(e)}\")\n                    item.pop(\"meta_data\", None)\n\n    # Now return internal conversation_id directly\n    return {\"message\": \"success\", \"data\": conversations, \"requestId\": ctx.request_id}\n\n\nasync def get_conversation_history_internal(ctx: NorthboundContext, conversation_id: int) -> Dict[str, Any]:\n    \"\"\"Internal helper to get conversation history without logging.\"\"\"\n    history = get_conversation_messages(conversation_id)\n    # Remove unnecessary fields\n    result = []\n    for message in history:\n        result.append({\n            \"role\": message[\"message_role\"],\n            \"content\": message[\"message_content\"]\n        })\n\n    response = {\n        \"conversation_id\": conversation_id,\n        \"history\": result\n    }\n    return {\"message\": \"success\", \"data\": response, \"requestId\": ctx.request_id}\n\n\nasync def get_conversation_history(ctx: NorthboundContext, conversation_id: int) -> Dict[str, Any]:\n    try:\n        return await get_conversation_history_internal(ctx, conversation_id)\n    except Exception as e:\n        raise Exception(f\"Failed to get conversation history for conversation_id {conversation_id}: {str(e)}\")\n\n\nasync def get_agent_info_list(ctx: NorthboundContext) -> Dict[str, Any]:\n    try:\n        agent_info_list = await list_all_agent_info_impl(tenant_id=ctx.tenant_id, user_id=ctx.user_id)\n        # Remove internal information that partner don't need\n        for agent_info in agent_info_list:\n            agent_info.pop(\"agent_id\", None)\n\n        return {\"message\": \"success\", \"data\": agent_info_list, \"requestId\": ctx.request_id}\n    except Exception as e:\n        raise Exception(f\"Failed to get agent info list for tenant {ctx.tenant_id}: {str(e)}\")\n\n\nasync def update_conversation_title(ctx: NorthboundContext, conversation_id: int, title: str, meta_data: Optional[Dict[str, Any]] = None, idempotency_key: Optional[str] = None) -> Dict[str, Any]:\n    composed_key: Optional[str] = None\n    try:\n        # Idempotency: avoid concurrent duplicate title update for same conversation\n        composed_key = idempotency_key or _build_idempotency_key(ctx.tenant_id, str(conversation_id), title)\n        await idempotency_start(composed_key)\n\n        update_conversation_title_service(conversation_id, title, ctx.user_id)\n\n        # Log token usage\n        if ctx.token_id > 0:\n            try:\n                log_token_usage(\n                    token_id=ctx.token_id,\n                    call_function_name=\"update_conversation_title\",\n                    related_id=conversation_id,\n                    created_by=ctx.user_id,\n                    metadata=meta_data\n                )\n            except Exception as e:\n                logger.warning(f\"Failed to log token usage: {str(e)}\")\n\n        return {\n            \"message\": \"success\",\n            \"data\": conversation_id,\n            \"requestId\": ctx.request_id,\n            \"idempotency_key\": composed_key,\n        }\n    except LimitExceededError as _:\n        raise LimitExceededError(\"Duplicate request is still running, please wait.\")\n    except Exception as e:\n        raise Exception(f\"Failed to update conversation title for conversation_id {conversation_id}: {str(e)}\")\n    finally:\n        if composed_key:\n            asyncio.create_task(_release_idempotency_after_delay(composed_key))\n"
  },
  {
    "path": "backend/services/prompt_service.py",
    "content": "import json\nimport logging\nimport queue\nimport threading\nfrom typing import Optional, List\n\nfrom jinja2 import StrictUndefined, Template\n\nfrom consts.const import LANGUAGE\nfrom consts.error_code import ErrorCode\nfrom consts.error_message import ErrorMessage\nfrom consts.exceptions import AppException\nfrom database.agent_db import search_agent_info_by_agent_id, query_all_agent_info_by_tenant_id, \\\n    query_sub_agents_id_list\nfrom database.tool_db import query_tools_by_ids\nfrom services.agent_service import (\n    get_enable_tool_id_by_agent_id,\n    _check_agent_name_duplicate,\n    _check_agent_display_name_duplicate,\n    _regenerate_agent_name_with_llm,\n    _regenerate_agent_display_name_with_llm,\n    _generate_unique_agent_name_with_suffix,\n    _generate_unique_display_name_with_suffix\n)\nfrom utils.llm_utils import call_llm_for_system_prompt\nfrom utils.prompt_template_utils import get_prompt_generate_prompt_template\n\n# Configure logging\nlogger = logging.getLogger(\"prompt_service\")\n\n\ndef gen_system_prompt_streamable(agent_id: int, model_id: int, task_description: str, user_id: str, tenant_id: str, language: str, tool_ids: Optional[List[int]] = None, sub_agent_ids: Optional[List[int]] = None):\n    try:\n        for system_prompt in generate_and_save_system_prompt_impl(\n            agent_id=agent_id,\n            model_id=model_id,\n            task_description=task_description,\n            user_id=user_id,\n            tenant_id=tenant_id,\n            language=language,\n            tool_ids=tool_ids,\n            sub_agent_ids=sub_agent_ids\n        ):\n            # SSE format, each message ends with \\n\\n\n            yield f\"data: {json.dumps({'success': True, 'data': system_prompt}, ensure_ascii=False)}\\n\\n\"\n    except Exception as e:\n        # Catch model unavailable or other errors and return error through SSE\n        logger.error(f\"Error generating prompt: {e}\")\n        # Use original error code if it's an AppException, otherwise use default\n        if isinstance(e, AppException):\n            error_code = e.error_code\n            error_message = e.message\n        else:\n            error_code = ErrorCode.MODEL_PROMPT_GENERATION_FAILED\n            error_message = ErrorMessage.get_message(error_code)\n        yield f\"data: {json.dumps({'success': False, 'error': {'code': error_code.value, 'message': error_message}}, ensure_ascii=False)}\\n\\n\"\n\n\ndef generate_and_save_system_prompt_impl(agent_id: int,\n                                         model_id: int,\n                                         task_description: str,\n                                         user_id: str,\n                                         tenant_id: str,\n                                         language: str,\n                                         tool_ids: Optional[List[int]] = None,\n                                         sub_agent_ids: Optional[List[int]] = None):\n    # Get description of tool and agent from frontend-provided IDs\n    # Frontend always provides tool_ids and sub_agent_ids (could be empty arrays)\n\n    # Handle tool IDs\n    if tool_ids and len(tool_ids) > 0:\n        tool_info_list = query_tools_by_ids(tool_ids)\n        logger.debug(f\"Using frontend-provided tool IDs: {tool_ids}\")\n    else:\n        logger.debug(\"No tools selected (empty tool_ids list)\")\n        # If no tool IDs provided, get enabled tools from database\n        tool_info_list = get_enabled_tool_description_for_generate_prompt(\n            tenant_id=tenant_id, agent_id=agent_id)\n\n    # Handle sub-agent IDs\n    if sub_agent_ids and len(sub_agent_ids) > 0:\n        sub_agent_info_list = []\n        for sub_agent_id in sub_agent_ids:\n            try:\n                sub_agent_info = search_agent_info_by_agent_id(\n                    agent_id=sub_agent_id, tenant_id=tenant_id)\n                sub_agent_info_list.append(sub_agent_info)\n            except Exception as e:\n                logger.warning(\n                    f\"Failed to get sub-agent info for agent_id {sub_agent_id}: {str(e)}\")\n        logger.debug(f\"Using frontend-provided sub-agent IDs: {sub_agent_ids}\")\n    else:\n        logger.debug(\"No sub-agents selected (empty sub_agent_ids list)\")\n        # If no sub-agent IDs provided, get enabled sub-agents from database\n        sub_agent_info_list = get_enabled_sub_agent_description_for_generate_prompt(\n            tenant_id=tenant_id, agent_id=agent_id)\n\n    # 1. Real-time streaming push\n    final_results = {\"duty\": \"\", \"constraint\": \"\", \"few_shots\": \"\", \"agent_var_name\": \"\", \"agent_display_name\": \"\",\n                     \"agent_description\": \"\"}\n\n    # Get all existing agent names and display names for duplicate checking (only if not in create mode)\n    all_agents = query_all_agent_info_by_tenant_id(tenant_id)\n    existing_names = [\n        agent.get(\"name\")\n        for agent in all_agents\n        if agent.get(\"name\") and agent.get(\"agent_id\") != agent_id\n    ]\n    existing_display_names = [\n        agent.get(\"display_name\")\n        for agent in all_agents\n        if agent.get(\"display_name\") and agent.get(\"agent_id\") != agent_id\n    ]\n\n    # Collect results and yield non-name fields immediately, but hold name fields for duplicate checking\n    for result_data in generate_system_prompt(sub_agent_info_list, task_description, tool_info_list, tenant_id,\n                                              model_id, language):\n        result_type = result_data[\"type\"]\n        final_results[result_type] = result_data[\"content\"]\n\n        # Yield non-name fields immediately\n        if result_type not in [\"agent_var_name\", \"agent_display_name\"]:\n            yield result_data\n        else:\n            # If name field is complete, check for duplicates and regenerate if needed before yielding\n            if result_data.get(\"is_complete\", False):\n                if result_type == \"agent_var_name\":\n                    agent_name = final_results[\"agent_var_name\"]\n                    # Check and regenerate name if duplicate\n                    if _check_agent_name_duplicate(\n                        agent_name,\n                        tenant_id=tenant_id,\n                        exclude_agent_id=agent_id,\n                        agents_cache=all_agents\n                    ):\n                        logger.info(f\"Agent name '{agent_name}' already exists, regenerating with LLM\")\n                        try:\n                            agent_name = _regenerate_agent_name_with_llm(\n                                original_name=agent_name,\n                                existing_names=existing_names,\n                                task_description=task_description,\n                                model_id=model_id,\n                                tenant_id=tenant_id,\n                                language=language,\n                                agents_cache=all_agents,\n                                exclude_agent_id=agent_id\n                            )\n                            logger.info(f\"Regenerated agent name: '{agent_name}'\")\n                            final_results[\"agent_var_name\"] = agent_name\n                        except Exception as e:\n                            logger.error(f\"Failed to regenerate agent name with LLM: {str(e)}, using fallback\")\n                            # Fallback: add suffix\n                            agent_name = _generate_unique_agent_name_with_suffix(\n                                agent_name,\n                                tenant_id=tenant_id,\n                                agents_cache=all_agents,\n                                exclude_agent_id=agent_id\n                            )\n                            final_results[\"agent_var_name\"] = agent_name\n\n                    # Yield the (possibly regenerated) name\n                    yield {\n                        \"type\": \"agent_var_name\",\n                        \"content\": final_results[\"agent_var_name\"],\n                        \"is_complete\": True\n                    }\n\n                elif result_type == \"agent_display_name\":\n                    agent_display_name = final_results[\"agent_display_name\"]\n                    # Check and regenerate display_name if duplicate\n                    if _check_agent_display_name_duplicate(\n                        agent_display_name,\n                        tenant_id=tenant_id,\n                        exclude_agent_id=agent_id,\n                        agents_cache=all_agents\n                    ):\n                        logger.info(f\"Agent display_name '{agent_display_name}' already exists, regenerating with LLM\")\n                        try:\n                            agent_display_name = _regenerate_agent_display_name_with_llm(\n                                original_display_name=agent_display_name,\n                                existing_display_names=existing_display_names,\n                                task_description=task_description,\n                                model_id=model_id,\n                                tenant_id=tenant_id,\n                                language=language,\n                                agents_cache=all_agents,\n                                exclude_agent_id=agent_id\n                            )\n                            logger.info(f\"Regenerated agent display_name: '{agent_display_name}'\")\n                            final_results[\"agent_display_name\"] = agent_display_name\n                        except Exception as e:\n                            logger.error(f\"Failed to regenerate agent display_name with LLM: {str(e)}, using fallback\")\n                            # Fallback: add suffix\n                            agent_display_name = _generate_unique_display_name_with_suffix(\n                                agent_display_name,\n                                tenant_id=tenant_id,\n                                agents_cache=all_agents,\n                                exclude_agent_id=agent_id\n                            )\n                            final_results[\"agent_display_name\"] = agent_display_name\n\n                    # Yield the (possibly regenerated) display_name\n                    yield {\n                        \"type\": \"agent_display_name\",\n                        \"content\": final_results[\"agent_display_name\"],\n                        \"is_complete\": True\n                    }\n\n    # 2. Update agent with the final result (skip in create mode)\n    if agent_id == 0:\n        logger.info(\"Skipping agent update in create mode (agent_id=0)\")\n    else:\n        logger.info(\n            \"Updating agent with business_description and prompt segments\")\n        logger.info(\"Prompt generation and agent update completed successfully\")\n\n    # Check if any content was generated - if all fields are empty, model likely failed\n    all_fields = [\"duty\", \"constraint\", \"few_shots\",\n                  \"agent_var_name\", \"agent_display_name\", \"agent_description\"]\n    has_content = any(final_results.get(field, \"\").strip()\n                      for field in all_fields)\n    if not has_content:\n        raise Exception(\"Failed to generate prompt content.\")\n\n\ndef generate_system_prompt(sub_agent_info_list, task_description, tool_info_list, tenant_id: str, model_id: int, language: str = LANGUAGE[\"ZH\"]):\n    \"\"\"Main function for generating system prompts\"\"\"\n    prompt_for_generate = get_prompt_generate_prompt_template(language)\n\n    # Prepare content for generating system prompts\n    content = join_info_for_generate_system_prompt(\n        prompt_for_generate=prompt_for_generate,\n        sub_agent_info_list=sub_agent_info_list,\n        task_description=task_description,\n        tool_info_list=tool_info_list,\n        language=language\n    )\n\n    # Initialize state\n    produce_queue = queue.Queue()\n    latest = {\"duty\": \"\", \"constraint\": \"\", \"few_shots\": \"\",\n              \"agent_var_name\": \"\", \"agent_display_name\": \"\", \"agent_description\": \"\"}\n    stop_flags = {\"duty\": False, \"constraint\": False, \"few_shots\": False,\n                  \"agent_var_name\": False, \"agent_display_name\": False, \"agent_description\": False}\n\n    # Start all generation threads\n    threads, error_holder = _start_generation_threads(\n        content, prompt_for_generate, produce_queue, latest, stop_flags, tenant_id, model_id)\n\n    # Stream results\n    yield from _stream_results(produce_queue, latest, stop_flags, threads, error_holder)\n\n\ndef _start_generation_threads(content, prompt_for_generate, produce_queue, latest, stop_flags, tenant_id, model_id):\n    \"\"\"Start all prompt generation threads\"\"\"\n    # Shared error tracking across threads\n    error_holder = {\"error\": None}\n\n    def make_callback(tag):\n        def callback_fn(current_text):\n            latest[tag] = current_text\n            produce_queue.put(tag)\n        return callback_fn\n\n    def run_and_flag(tag, sys_prompt):\n        try:\n            call_llm_for_system_prompt(\n                model_id, content, sys_prompt, make_callback(tag), tenant_id)\n        except Exception as e:\n            logger.error(f\"Error in {tag} generation: {e}\")\n            error_holder[\"error\"] = e\n        finally:\n            stop_flags[tag] = True\n\n    threads = []\n    logger.info(\"Generating system prompt\")\n\n    prompt_configs = [\n        (\"duty\", prompt_for_generate[\"DUTY_SYSTEM_PROMPT\"]),\n        (\"constraint\", prompt_for_generate[\"CONSTRAINT_SYSTEM_PROMPT\"]),\n        (\"few_shots\", prompt_for_generate[\"FEW_SHOTS_SYSTEM_PROMPT\"]),\n        (\"agent_var_name\",\n         prompt_for_generate[\"AGENT_VARIABLE_NAME_SYSTEM_PROMPT\"]),\n        (\"agent_display_name\",\n         prompt_for_generate[\"AGENT_DISPLAY_NAME_SYSTEM_PROMPT\"]),\n        (\"agent_description\",\n         prompt_for_generate[\"AGENT_DESCRIPTION_SYSTEM_PROMPT\"])\n    ]\n\n    for tag, sys_prompt in prompt_configs:\n        thread = threading.Thread(target=run_and_flag, args=(tag, sys_prompt))\n        thread.start()\n        threads.append(thread)\n\n    return threads, error_holder\n\n\ndef _stream_results(produce_queue, latest, stop_flags, threads, error_holder):\n    \"\"\"Stream prompt generation results\"\"\"\n\n    # Real-time streaming output for the first three sections\n    last_results = {\"duty\": \"\", \"constraint\": \"\", \"few_shots\": \"\",\n                    \"agent_var_name\": \"\", \"agent_display_name\": \"\", \"agent_description\": \"\"}\n\n    while not all(stop_flags.values()):\n        # Check if error occurred in any thread - raise immediately\n        if error_holder.get(\"error\"):\n            # Wait for threads to finish\n            for thread in threads:\n                thread.join(timeout=5)\n            raise error_holder[\"error\"]\n\n        try:\n            produce_queue.get(timeout=0.5)\n        except queue.Empty:\n            continue\n\n        # Check if there is new content (only stream the first three sections)\n        for tag in [\"duty\", \"constraint\", \"few_shots\"]:\n            if latest[tag] != last_results[tag]:\n                result_data = {\n                    \"type\": tag,\n                    \"content\": latest[tag],\n                    \"is_complete\": stop_flags[tag]\n                }\n                yield result_data\n                last_results[tag] = latest[tag]\n\n    # Check if error occurred before final output\n    if error_holder.get(\"error\"):\n        raise error_holder[\"error\"]\n\n    # Wait for all threads to complete\n    for thread in threads:\n        thread.join(timeout=5)\n\n    # Output final results\n    all_tags = [\"duty\", \"constraint\", \"few_shots\",\n                \"agent_var_name\", \"agent_display_name\", \"agent_description\"]\n    for tag in all_tags:\n        if stop_flags[tag]:\n            # Clean up content for specific tags\n            if tag in {'agent_var_name', 'agent_display_name', 'agent_description'}:\n                latest[tag] = latest[tag].strip().replace('\\n', '')\n\n            result_data = {\n                \"type\": tag,\n                \"content\": latest[tag].strip(),\n                \"is_complete\": True\n            }\n            yield result_data\n            last_results[tag] = latest[tag]\n\n\ndef join_info_for_generate_system_prompt(prompt_for_generate, sub_agent_info_list, task_description, tool_info_list, language: str = LANGUAGE[\"ZH\"]):\n    input_label = \"Inputs\" if language == 'en' else \"接受输入\"\n    output_label = \"Output type\" if language == 'en' else \"返回输出类型\"\n\n    tool_description = \"\\n\".join(\n        [f\"- {tool['name']}: {tool['description']} \\n {input_label}: {tool['inputs']}\\n {output_label}: {tool['output_type']}\"\n         for tool in tool_info_list])\n    assistant_description = \"\\n\".join(\n        [f\"- {sub_agent_info['name']}: {sub_agent_info['description']}\" for sub_agent_info in sub_agent_info_list])\n    # Generate content using template\n    content = Template(prompt_for_generate[\"USER_PROMPT\"], undefined=StrictUndefined).render({\n        \"task_description\": task_description,\n        \"tool_description\": tool_description,\n        \"assistant_description\": assistant_description\n    })\n    return content\n\n\ndef get_enabled_tool_description_for_generate_prompt(agent_id: int, tenant_id: str):\n    # Get tool information\n    logger.info(\"Fetching tool instances\")\n    tool_id_list = get_enable_tool_id_by_agent_id(\n        agent_id=agent_id, tenant_id=tenant_id)\n    tool_info_list = query_tools_by_ids(tool_id_list)\n    return tool_info_list\n\n\ndef get_enabled_sub_agent_description_for_generate_prompt(agent_id: int, tenant_id: str):\n    logger.info(\"Fetching sub-agents information\")\n\n    sub_agent_id_list = query_sub_agents_id_list(\n        main_agent_id=agent_id, tenant_id=tenant_id)\n\n    sub_agent_info_list = []\n    for sub_agent_id in sub_agent_id_list:\n        sub_agent_info = search_agent_info_by_agent_id(\n            agent_id=sub_agent_id, tenant_id=tenant_id)\n\n        sub_agent_info_list.append(sub_agent_info)\n    return sub_agent_info_list\n"
  },
  {
    "path": "backend/services/providers/__init__.py",
    "content": "# Provider exports\nfrom services.providers.base import AbstractModelProvider\nfrom services.providers.silicon_provider import SiliconModelProvider\nfrom services.providers.modelengine_provider import ModelEngineProvider, get_model_engine_raw_url\n\n__all__ = [\n    \"AbstractModelProvider\",\n    \"SiliconModelProvider\",\n    \"ModelEngineProvider\",\n    \"get_model_engine_raw_url\",\n]\n"
  },
  {
    "path": "backend/services/providers/base.py",
    "content": "import logging\nfrom abc import ABC, abstractmethod\nfrom typing import Dict, List\n\nimport aiohttp\n\nlogger = logging.getLogger(\"model_provider\")\n\n\n# =============================================================================\n# Provider Error Handling Utilities\n# =============================================================================\n\n\ndef _create_error_response(error_code: str, message: str, http_code: int = None) -> List[Dict]:\n    \"\"\"\n    Create a standardized error response for provider API failures.\n\n    Args:\n        error_code: Machine-readable error code (e.g., 'authentication_failed')\n        message: Human-readable error message\n        http_code: HTTP status code if available\n\n    Returns:\n        List containing a single error dict with standardized format\n    \"\"\"\n    error_dict = {\"_error\": error_code, \"_message\": message}\n    if http_code:\n        error_dict[\"_http_code\"] = http_code\n    return [error_dict]\n\n\ndef _classify_provider_error(\n        provider_name: str,\n        status_code: int = None,\n        error_message: str = None,\n        exception: Exception = None\n) -> List[Dict]:\n    \"\"\"\n    Classify provider errors and return standardized error response.\n\n    This function centralizes error classification logic for all model providers,\n    ensuring consistent error codes and messages across different providers.\n\n    Args:\n        provider_name: Name of the provider (for logging and messages)\n        status_code: HTTP status code if available\n        error_message: Error message from API if available\n        exception: Exception object if available\n\n    Returns:\n        List containing a single error dict with standardized format\n    \"\"\"\n    # Classify by HTTP status code\n    if status_code:\n        if status_code == 401:\n            logger.error(\n                f\"{provider_name} API authentication failed: Invalid API key\")\n            return _create_error_response(\n                \"authentication_failed\",\n                \"Invalid API key or authentication failed\",\n                status_code\n            )\n        elif status_code == 403:\n            logger.error(\n                f\"{provider_name} API access forbidden: Insufficient permissions\")\n            return _create_error_response(\n                \"access_forbidden\",\n                \"Access forbidden. Please check your permissions\",\n                status_code\n            )\n        elif status_code == 404:\n            logger.error(\n                f\"{provider_name} API endpoint not found: URL may be incorrect\")\n            return _create_error_response(\n                \"endpoint_not_found\",\n                \"API endpoint not found. Please verify the URL\",\n                status_code\n            )\n        elif status_code >= 500:\n            logger.error(f\"{provider_name} server error: HTTP {status_code}\")\n            return _create_error_response(\n                \"server_error\",\n                f\"Server error (HTTP {status_code})\",\n                status_code\n            )\n        elif status_code >= 400:\n            logger.error(\n                f\"{provider_name} API error (HTTP {status_code}): {error_message}\")\n            return _create_error_response(\n                \"api_error\",\n                f\"API error (HTTP {status_code})\",\n                status_code\n            )\n\n    # Classify by exception type\n    if exception:\n        # aiohttp exceptions\n        if isinstance(exception, aiohttp.ClientConnectorError):\n            error_str = str(exception).lower()\n            if \"certificate\" in error_str or \"ssl\" in error_str:\n                logger.error(\n                    f\"{provider_name} SSL certificate error: {exception}\")\n                return _create_error_response(\n                    \"ssl_error\",\n                    \"SSL certificate error. Please check the URL and SSL configuration\"\n                )\n            else:\n                logger.error(f\"{provider_name} connection failed: {exception}\")\n                return _create_error_response(\n                    \"connection_failed\",\n                    f\"Failed to connect to {provider_name}. Please check the URL and network connection\"\n                )\n        elif isinstance(exception, aiohttp.ServerTimeoutError):\n            logger.error(f\"{provider_name} server timeout: {exception}\")\n            return _create_error_response(\n                \"timeout\",\n                \"Connection timed out. Please check the URL and network connection\"\n            )\n        elif isinstance(exception, aiohttp.ServerDisconnectedError):\n            logger.error(f\"{provider_name} server disconnected: {exception}\")\n            return _create_error_response(\n                \"connection_failed\",\n                f\"Connection to {provider_name} was interrupted. Please try again\"\n            )\n        elif isinstance(exception, aiohttp.ContentTypeError):\n            logger.error(\n                f\"{provider_name} invalid response format: {exception}\")\n            return _create_error_response(\n                \"invalid_response\",\n                \"Invalid response from provider API\"\n            )\n\n    # Generic connection error fallback\n    error_msg = error_message or str(\n        exception) if exception else \"Unknown error\"\n    logger.error(f\"{provider_name} error: {error_msg}\")\n    return _create_error_response(\n        \"connection_failed\",\n        f\"Failed to connect to {provider_name}. Please check the URL and network connection\"\n    )\n\n\nclass AbstractModelProvider(ABC):\n    \"\"\"Common interface that all model provider integrations must implement.\"\"\"\n\n    @abstractmethod\n    async def get_models(self, provider_config: Dict) -> List[Dict]:\n        \"\"\"Return a list of models provided by the concrete provider.\"\"\"\n        raise NotImplementedError\n"
  },
  {
    "path": "backend/services/providers/dashscope_provider.py",
    "content": "import httpx\nfrom typing import Dict, List\nimport asyncio\nfrom consts.const import DEFAULT_LLM_MAX_TOKENS\nfrom consts.provider import DASHSCOPE_GET_URL\nfrom services.providers.base import AbstractModelProvider, _classify_provider_error\n\n\nclass DashScopeModelProvider(AbstractModelProvider):\n    \"\"\"Concrete implementation for DashScope (Aliyun) provider.\"\"\"\n\n    async def get_models(self, provider_config: Dict) -> List[Dict]:\n        \"\"\"\n        Fetch models from DashScope API, categorize them, and return\n        the requested model type.\n\n        Args:\n            provider_config: Configuration dict containing model_type and api_key\n\n        Returns:\n            List of models with canonical fields. Returns error dict if API call fails.\n        \"\"\"\n        try:\n            target_model_type: str = provider_config[\"model_type\"]\n            model_api_key: str = provider_config[\"api_key\"]\n\n            headers = {\"Authorization\": f\"Bearer {model_api_key}\"}\n            base_url = DASHSCOPE_GET_URL\n\n            all_models: List[Dict] = []\n            current_page = 1\n\n            # Fetch all models with pagination asynchronously\n            async with httpx.AsyncClient(verify=False) as client:\n                while True:\n                    params = {\"page_size\": 100, \"page_no\": current_page}\n                    response = await client.get(base_url, headers=headers, params=params)\n                    if response.status_code == 429:\n                        await asyncio.sleep(2)\n                        continue\n                    response.raise_for_status()\n\n                    data = response.json()\n                    models = data.get(\"output\", {}).get(\"models\", [])\n\n                    # Break loop if no more models on the current page\n                    if not models:\n                        break\n\n                    all_models.extend(models)\n                    if len(models) < 100:\n                        break\n                    current_page += 1\n                    await asyncio.sleep(0.5)\n\n            # Initialize containers for the 6 main categories\n            categorized_models = {\n                \"chat\": [],  # Maps to \"llm\"\n                \"vlm\": [],  # Maps to \"vlm\"\n                \"embedding\": [],  # Maps to \"embedding\" / \"multi_embedding\"\n                \"reranker\": [],  # Maps to \"reranker\"\n                \"tts\": [],  # Maps to \"tts\"\n                \"stt\": []  # Maps to \"stt\"\n            }\n\n            # Classify models and inject canonical fields expected downstream\n            for model_obj in all_models:\n                # Extract key fields for logical determination (lowercased for robustness)\n                m_id = model_obj.get('model', '').lower()\n                desc = model_obj.get('description', '')\n                metadata = model_obj.get('inference_metadata', {})\n                req_mod = metadata.get('request_modality', [])\n                res_mod = metadata.get('response_modality', [])\n                model_obj.setdefault(\"object\", model_obj.get(\"object\", \"model\"))\n                model_obj.setdefault(\"owned_by\", model_obj.get(\"owned_by\", \"dashscope\"))\n                cleaned_model = {\n                    \"id\": m_id,\n                    \"object\": model_obj.get(\"object\"),\n                    \"created\": 0,\n                    \"owned_by\": model_obj.get(\"owned_by\"),\n                    \"model_tag\": \"\",\n                    \"model_type\": \"\",\n                    \"max_tokens\": DEFAULT_LLM_MAX_TOKENS\n                }\n               # 1. Embedding\n                if 'embedding' in m_id.lower() or '向量' in desc:\n                    cleaned_model.update({\"model_tag\": \"embedding\", \"model_type\": \"embedding\"})\n                    categorized_models['embedding'].append(cleaned_model)\n                    continue\n\n                # 2. Reranker\n                if 'rerank' in m_id.lower() or '重排序' in desc:\n                    cleaned_model.update({\"model_tag\": \"reranker\", \"model_type\": \"reranker\"})\n                    categorized_models['reranker'].append(cleaned_model)\n                    continue\n\n                # 3. STT\n                if 'Audio' in req_mod and 'Text' in res_mod:\n                    cleaned_model.update({\"model_tag\": \"stt\", \"model_type\": \"stt\"})\n                    categorized_models['stt'].append(cleaned_model)\n                    continue\n\n                # 4. TTS\n                if 'Audio' in res_mod and 'Video' not in res_mod:\n                    cleaned_model.update({\"model_tag\": \"tts\", \"model_type\": \"tts\"})\n                    categorized_models['tts'].append(cleaned_model)\n                    continue\n\n                # 5. VLM\n                vision_mods = {'Image', 'Video'}\n                if (set(req_mod) & vision_mods) or (set(res_mod) & vision_mods) or '视觉' in desc:\n                    cleaned_model.update({\"model_tag\": \"chat\", \"model_type\": \"vlm\"})\n                    categorized_models['vlm'].append(cleaned_model)\n                    continue\n\n                # 6. Chat / LLM\n                if 'Text' in req_mod or 'Text' in res_mod:\n                    cleaned_model.update({\"model_tag\": \"chat\", \"model_type\": \"llm\"})\n                    categorized_models['chat'].append(cleaned_model)\n\n            # Return the specific list based on the requested target_model_type\n            if target_model_type == \"llm\":\n                return categorized_models[\"chat\"]\n            elif target_model_type in (\"embedding\", \"multi_embedding\"):\n                return categorized_models[\"embedding\"]\n            elif target_model_type in categorized_models:\n                return categorized_models[target_model_type]\n            else:\n                return []\n        except (httpx.HTTPStatusError, httpx.ConnectTimeout, httpx.ConnectError, Exception) as e:\n            return _classify_provider_error(\"DashScope\", exception=e)\n\n"
  },
  {
    "path": "backend/services/providers/modelengine_provider.py",
    "content": "import logging\nfrom typing import Dict, List\n\nimport aiohttp\n\nfrom consts.const import DEFAULT_LLM_MAX_TOKENS\nfrom services.providers.base import AbstractModelProvider, _classify_provider_error\n\nlogger = logging.getLogger(\"model_provider\")\n\nMODEL_ENGINE_NORTH_PREFIX = \"open/router/v1\"\n\n\ndef get_model_engine_raw_url(model_engine_url: str) -> str:\n    \"\"\"\n    Extract the raw base URL from a ModelEngine URL by stripping any API paths.\n\n    Args:\n        model_engine_url: Full ModelEngine URL potentially containing API paths\n\n    Returns:\n        Base URL without trailing paths\n    \"\"\"\n    if not model_engine_url:\n        return \"\"\n    # Remove any trailing /open/router/v1 or similar paths to get base host\n    raw_url = model_engine_url.split(\n        \"/open/\")[0] if \"/open/\" in model_engine_url else model_engine_url\n    # Remove trailing slash if present\n    return raw_url.rstrip('/')\n\n\nclass ModelEngineProvider(AbstractModelProvider):\n    \"\"\"Concrete implementation for ModelEngine provider.\"\"\"\n\n    async def get_models(self, provider_config: Dict) -> List[Dict]:\n        \"\"\"\n        Fetch models from ModelEngine API.\n\n        Args:\n            provider_config: Configuration dict containing model_type, base_url, and api_key\n\n        Returns:\n            List of models with canonical fields. Returns error dict if API call fails.\n        \"\"\"\n        try:\n            model_type: str = provider_config.get(\"model_type\", \"\")\n            host = provider_config.get(\"base_url\")\n            api_key = provider_config.get(\"api_key\")\n            model_engine_url = get_model_engine_raw_url(host)\n            if not host or not api_key:\n                logger.warning(\"ModelEngine host or api key not configured\")\n                return []\n\n            headers = {\"Authorization\": f\"Bearer {api_key}\"}\n\n            async with aiohttp.ClientSession(\n                timeout=aiohttp.ClientTimeout(total=30),\n                connector=aiohttp.TCPConnector(ssl=False)\n            ) as session:\n                async with session.get(\n                    f\"{model_engine_url.rstrip('/')}/{MODEL_ENGINE_NORTH_PREFIX}/models\",\n                    headers=headers\n                ) as response:\n                    # Use centralized error classification\n                    if response.status >= 400:\n                        error_text = await response.text()\n                        return _classify_provider_error(\n                            \"ModelEngine\",\n                            status_code=response.status,\n                            error_message=error_text\n                        )\n\n                    data = await response.json()\n                    all_models = data.get(\"data\", [])\n                    logger.info(\n                        f\"ModelEngine API returned {len(all_models)} models\")\n\n            # Type mapping from ModelEngine to internal types\n            type_map = {\n                \"embed\": \"embedding\",\n                \"chat\": \"llm\",\n                \"asr\": \"stt\",\n                \"tts\": \"tts\",\n                \"rerank\": \"rerank\",\n                \"multimodal\": \"vlm\",\n            }\n\n            filtered_models = []\n            for model in all_models:\n                me_type = model.get(\"type\", \"\")\n                internal_type = type_map.get(me_type)\n\n                # If model_type filter is provided, only include matching models\n                if model_type and internal_type != model_type:\n                    continue\n\n                if internal_type:\n                    filtered_models.append({\n                        \"id\": model.get(\"id\", \"\"),\n                        \"model_type\": internal_type,\n                        \"model_tag\": me_type,\n                        \"max_tokens\": DEFAULT_LLM_MAX_TOKENS if internal_type in (\"llm\", \"vlm\") else 0,\n                        \"base_url\": host,\n                        \"api_key\": api_key,\n                    })\n\n            return filtered_models\n        except Exception as e:\n            return _classify_provider_error(\"ModelEngine\", exception=e)\n"
  },
  {
    "path": "backend/services/providers/silicon_provider.py",
    "content": "import httpx\nfrom typing import Dict, List\n\nfrom consts.const import DEFAULT_LLM_MAX_TOKENS\nfrom consts.provider import SILICON_GET_URL\nfrom services.providers.base import AbstractModelProvider, _classify_provider_error\n\n\nclass SiliconModelProvider(AbstractModelProvider):\n    \"\"\"Concrete implementation for SiliconFlow provider.\"\"\"\n\n    async def get_models(self, provider_config: Dict) -> List[Dict]:\n        \"\"\"\n        Fetch models from SiliconFlow API.\n\n        Args:\n            provider_config: Configuration dict containing model_type and api_key\n\n        Returns:\n            List of models with canonical fields. Returns error dict if API call fails.\n        \"\"\"\n        try:\n            model_type: str = provider_config[\"model_type\"]\n            model_api_key: str = provider_config[\"api_key\"]\n\n            headers = {\"Authorization\": f\"Bearer {model_api_key}\"}\n\n            # Choose endpoint by model type\n            if model_type in (\"llm\", \"vlm\"):\n                silicon_url = f\"{SILICON_GET_URL}?sub_type=chat\"\n            elif model_type in (\"embedding\", \"multi_embedding\"):\n                silicon_url = f\"{SILICON_GET_URL}?sub_type=embedding\"\n            else:\n                silicon_url = SILICON_GET_URL\n\n            async with httpx.AsyncClient(verify=False) as client:\n                response = await client.get(silicon_url, headers=headers)\n                response.raise_for_status()\n                model_list: List[Dict] = response.json()[\"data\"]\n\n            # Annotate models with canonical fields expected downstream\n            if model_type in (\"llm\", \"vlm\"):\n                for item in model_list:\n                    item[\"model_tag\"] = \"chat\"\n                    item[\"model_type\"] = model_type\n                    item[\"max_tokens\"] = DEFAULT_LLM_MAX_TOKENS\n            elif model_type in (\"embedding\", \"multi_embedding\"):\n                for item in model_list:\n                    item[\"model_tag\"] = \"embedding\"\n                    item[\"model_type\"] = model_type\n\n            # Return empty list to indicate successful API call but no models\n            if not model_list:\n                return []\n\n            return model_list\n        except (httpx.HTTPStatusError, httpx.ConnectTimeout, httpx.ConnectError, Exception) as e:\n            return _classify_provider_error(\"SiliconFlow\", exception=e)\n"
  },
  {
    "path": "backend/services/providers/tokenpony_provider.py",
    "content": "import httpx\nimport ssl\n\nfrom typing import Dict, List\n\n\nfrom consts.const import DEFAULT_LLM_MAX_TOKENS\nfrom consts.provider import TOKENPONY_GET_URL\nfrom services.providers.base import AbstractModelProvider, _classify_provider_error\n\n\nclass TokenPonyModelProvider(AbstractModelProvider):\n    \"\"\"Concrete implementation for TokenPony provider.\"\"\"\n\n    async def get_models(self, provider_config: Dict) -> List[Dict]:\n        \"\"\"\n        Fetch models from TokenPony API, categorize them based on modality/ID,\n        and return the requested model type.\n\n        Args:\n            provider_config: Configuration dict containing model_type and api_key\n\n        Returns:\n            List of models with canonical fields. Returns error dict if API call fails.\n        \"\"\"\n        try:\n            target_model_type: str = provider_config[\"model_type\"]\n            model_api_key: str = provider_config[\"api_key\"]\n\n            headers = {\"Authorization\": f\"Bearer {model_api_key}\"}\n            url = TOKENPONY_GET_URL\n\n\n            ssl_context = ssl.create_default_context()\n            ssl_context.check_hostname = False\n            ssl_context.verify_mode = ssl.CERT_NONE\n            ssl_context.set_ciphers(\"DEFAULT@SECLEVEL=1\")\n\n            async with httpx.AsyncClient(http2=True) as client:\n                response = await client.get(url, headers=headers)\n                response.raise_for_status()\n                # OpenAI standard response puts the model list inside the \"data\" array\n                all_models: List[Dict] = response.json().get(\"data\", [])\n\n            # Initialize containers for the 6 main categories\n            categorized_models = {\n                \"chat\": [],       # Maps to \"llm\"\n                \"vlm\": [],        # Maps to \"vlm\"\n                \"embedding\": [],  # Maps to \"embedding\" / \"multi_embedding\"\n                \"reranker\": [],   # Maps to \"reranker\"\n                \"tts\": [],        # Maps to \"tts\"\n                \"stt\": []         # Maps to \"stt\"\n            }\n\n            # Classify models and inject canonical fields expected downstream\n            for model_obj in all_models:\n                m_id = model_obj['id'].lower()\n                model_obj.setdefault(\"object\", model_obj.get(\"object\", \"model\"))\n                model_obj.setdefault(\"owned_by\", model_obj.get(\"owned_by\", \"tokenpony\"))\n                cleaned_model = {\n                    \"id\": m_id,\n                    \"object\": model_obj.get(\"object\"),\n                    \"created\": 0,\n                    \"owned_by\": model_obj.get(\"owned_by\"),\n                    \"model_tag\": \"\",\n                    \"model_type\": \"\",\n                    \"max_tokens\": DEFAULT_LLM_MAX_TOKENS\n                }\n                # 1. reranker\n                if 'rerank' in m_id:\n                    cleaned_model.update({\"model_tag\": \"reranker\", \"model_type\": \"reranker\"})\n                    categorized_models['reranker'].append(cleaned_model)\n                #2. embedding\n                elif 'embedding' in m_id or m_id.startswith('bge-'):\n                    cleaned_model.update({\"model_tag\": \"embedding\", \"model_type\": \"embedding\"})\n                    categorized_models['embedding'].append(cleaned_model)\n\n                # 3. STT (Speech-to-Text / Audio understanding)\n                elif 'stt' in m_id:\n                    cleaned_model.update({\"model_tag\": \"stt\", \"model_type\": \"stt\"})\n                    categorized_models['stt'].append(cleaned_model)\n\n\n                # 4. TTS (Text-to-Speech)\n                elif 'tts' in m_id:\n                    cleaned_model.update({\"model_tag\": \"tts\", \"model_type\": \"tts\"})\n                    categorized_models['tts'].append(cleaned_model)\n\n                # 5. VLM (Vision Language Model / Image & Video Generation)\n\n                elif any(keyword in m_id for keyword in ['-vl', 'vl-', 'ocr', 'vision']):\n                    cleaned_model.update({\"model_tag\": \"chat\", \"model_type\": \"vlm\"})\n                    categorized_models['vlm'].append(cleaned_model)\n\n                # 6. Chat (Pure Text Conversation / Reasoning)\n                # Fallback check added: 'not metadata' catches standard OpenAI models that lack modality data\n                else :\n                    cleaned_model.update({\"model_tag\": \"chat\", \"model_type\": \"llm\"})\n                    categorized_models['chat'].append(cleaned_model)\n\n            # Return the specific list based on the requested target_model_type\n            if target_model_type == \"llm\":\n                return categorized_models[\"chat\"]\n            elif target_model_type in (\"embedding\", \"multi_embedding\"):\n                return categorized_models[\"embedding\"]\n            elif target_model_type in categorized_models:\n                return categorized_models[target_model_type]\n            else:\n                return []\n\n        except (httpx.HTTPStatusError, httpx.ConnectTimeout, httpx.ConnectError, Exception) as e:\n            return _classify_provider_error(\"TokenPony\", exception=e)\n"
  },
  {
    "path": "backend/services/redis_service.py",
    "content": "import json\nimport logging\nfrom typing import Dict, Any, Optional\n\nimport redis\n\nfrom consts.const import REDIS_URL, REDIS_BACKEND_URL\n\nlogger = logging.getLogger(__name__)\n\n\nclass RedisService:\n    \"\"\"Redis service for managing cache and task data\"\"\"\n\n    def __init__(self):\n        self._client = None\n        self._backend_client = None\n\n    @property\n    def client(self) -> redis.Redis:\n        \"\"\"Get Redis client for general use\"\"\"\n        if self._client is None:\n            if not REDIS_URL:\n                raise ValueError(\"REDIS_URL environment variable is not set\")\n            self._client = redis.from_url(\n                REDIS_URL, \n                socket_timeout=5, \n                socket_connect_timeout=5,\n                decode_responses=True\n            )\n        return self._client\n\n    @property\n    def backend_client(self) -> redis.Redis:\n        \"\"\"Get Redis client for backend use (Celery task results)\"\"\"\n        if self._backend_client is None:\n            redis_backend_url = REDIS_BACKEND_URL or REDIS_URL\n            if not redis_backend_url:\n                raise ValueError(\"REDIS_BACKEND_URL or REDIS_URL environment variable is not set\")\n            self._backend_client = redis.from_url(redis_backend_url, socket_timeout=5, socket_connect_timeout=5)\n        return self._backend_client\n\n    # ------------------------------------------------------------------\n    # Cancellation helpers\n    # ------------------------------------------------------------------\n\n    def mark_task_cancelled(self, task_id: str, ttl_hours: int = 24) -> bool:\n        \"\"\"\n        Mark a Celery task as cancelled in Redis so that long-running\n        consumers (for example, chunk indexing) can detect the flag\n        and stop further processing.\n        \"\"\"\n        if not task_id:\n            logger.warning(\"Cannot mark task as cancelled: empty task_id\")\n            return False\n        try:\n            cancel_key = f\"cancel:{task_id}\"\n            ttl_seconds = ttl_hours * 3600\n            self.client.setex(cancel_key, ttl_seconds, \"1\")\n            logger.info(f\"Marked task {task_id} as cancelled in Redis (key={cancel_key})\")\n            return True\n        except Exception as exc:\n            logger.error(f\"Failed to mark task {task_id} as cancelled: {exc}\")\n            return False\n\n    def is_task_cancelled(self, task_id: str) -> bool:\n        \"\"\"\n        Check whether a Celery task has been marked as cancelled.\n        \"\"\"\n        if not task_id:\n            return False\n        try:\n            cancel_key = f\"cancel:{task_id}\"\n            value = self.client.get(cancel_key)\n            return bool(value)\n        except Exception as exc:\n            logger.warning(f\"Failed to check cancellation flag for task {task_id}: {exc}\")\n            return False\n\n    # ------------------------------------------------------------------\n    # High-level cleanup helpers\n    # ------------------------------------------------------------------\n\n    def _cleanup_single_task_related_keys(self, task_id: str) -> int:\n        \"\"\"\n        Delete all known Redis keys that are related to a specific task.\n\n        This includes:\n        - Progress info\n        - Error info\n        - Cancellation flag\n        - Chunk cache used by the forward task (dp:{task_id}:chunks)\n        \"\"\"\n        if not task_id:\n            return 0\n\n        deleted_count = 0\n        try:\n            # Keys stored in the main Redis client\n            progress_key = f\"progress:{task_id}\"\n            error_key = f\"error:reason:{task_id}\"\n            cancel_key = f\"cancel:{task_id}\"\n\n            for key in (progress_key, error_key, cancel_key):\n                try:\n                    deleted = self.client.delete(key)\n                    deleted_count += deleted\n                    if deleted:\n                        logger.debug(f\"Deleted task-related key: {key}\")\n                except Exception as exc:\n                    logger.warning(f\"Error deleting key {key}: {exc}\")\n\n            # Chunk payload is stored in the backend Redis used by Celery\n            chunk_key = f\"dp:{task_id}:chunks\"\n            try:\n                deleted = self.backend_client.delete(chunk_key)\n                deleted_count += deleted\n                if deleted:\n                    logger.debug(f\"Deleted chunk cache key: {chunk_key}\")\n            except Exception as exc:\n                logger.warning(f\"Error deleting chunk cache key {chunk_key}: {exc}\")\n\n        except Exception as exc:\n            logger.error(f\"Error cleaning up task-related keys for task {task_id}: {exc}\")\n\n        return deleted_count\n\n    def delete_knowledgebase_records(self, index_name: str) -> Dict[str, Any]:\n        \"\"\"\n        Delete all Redis records related to a specific knowledge base.\n        Also marks all related tasks as cancelled to stop ongoing processing.\n\n        Args:\n            index_name: Name of the knowledge base (index) to clean up\n\n        Returns:\n            Dict containing cleanup results\n        \"\"\"\n        logger.info(f\"Starting Redis cleanup for knowledge base: {index_name}\")\n\n        result = {\n            \"index_name\": index_name,\n            \"celery_tasks_deleted\": 0,\n            \"cache_keys_deleted\": 0,\n            \"tasks_cancelled\": 0,\n            \"total_deleted\": 0,\n            \"errors\": []\n        }\n\n        try:\n            # 1. Clean up Celery task results related to this knowledge base\n            # This also marks tasks as cancelled and cleans up all related keys\n            celery_deleted = self._cleanup_celery_tasks(index_name)\n            result[\"celery_tasks_deleted\"] = celery_deleted\n            # Count cancelled tasks (approximate, based on processed tasks)\n            result[\"tasks_cancelled\"] = celery_deleted  # Each deleted task was also cancelled\n\n            # 2. Clean up any cache keys related to this knowledge base\n            cache_deleted = self._cleanup_cache_keys(index_name)\n            result[\"cache_keys_deleted\"] = cache_deleted\n\n            result[\"total_deleted\"] = celery_deleted + cache_deleted\n\n            logger.info(f\"Redis cleanup completed for {index_name}: \"\n                       f\"Celery tasks: {celery_deleted}, Cache keys: {cache_deleted}, \"\n                       f\"Tasks marked as cancelled: {result['tasks_cancelled']}\")\n\n        except Exception as e:\n            error_msg = f\"Error during Redis cleanup for {index_name}: {str(e)}\"\n            logger.error(error_msg)\n            result[\"errors\"].append(error_msg)\n\n        return result\n\n    def delete_document_records(self, index_name: str, path_or_url: str) -> Dict[str, Any]:\n        \"\"\"\n        Delete Redis records related to a specific document in a knowledge base\n\n        Args:\n            index_name: Name of the knowledge base (index)\n            path_or_url: Path or URL of the document to clean up\n\n        Returns:\n            Dict containing cleanup results\n        \"\"\"\n        logger.info(f\"Starting Redis cleanup for document: {path_or_url} in knowledge base: {index_name}\")\n\n        result = {\n            \"index_name\": index_name,\n            \"document_path\": path_or_url,\n            \"celery_tasks_deleted\": 0,\n            \"cache_keys_deleted\": 0,\n            \"total_deleted\": 0,\n            \"errors\": []\n        }\n\n        try:\n            # 1. Clean up Celery task results related to this specific document\n            celery_deleted = self._cleanup_document_celery_tasks(index_name, path_or_url)\n            result[\"celery_tasks_deleted\"] = celery_deleted\n\n            # 2. Clean up any cache keys related to this specific document\n            cache_deleted = self._cleanup_document_cache_keys(index_name, path_or_url)\n            result[\"cache_keys_deleted\"] = cache_deleted\n\n            result[\"total_deleted\"] = celery_deleted + cache_deleted\n\n            logger.info(f\"Redis cleanup completed for document {path_or_url} in {index_name}: \"\n                       f\"Celery tasks: {celery_deleted}, Cache keys: {cache_deleted}\")\n\n        except Exception as e:\n            error_msg = f\"Error during Redis cleanup for document {path_or_url}: {str(e)}\"\n            logger.error(error_msg)\n            result[\"errors\"].append(error_msg)\n\n        return result\n\n    def _recursively_delete_task_and_parents(self, task_id: str) -> tuple[int, set]:\n        \"\"\"\n        Iteratively delete a Celery task and all its parent tasks from Redis.\n        A single task chain is deleted, and the IDs of the deleted tasks are returned.\n\n        Args:\n            task_id: The starting task ID.\n\n        Returns:\n            A tuple containing:\n            - int: The number of deleted task records.\n            - set: A set of processed task IDs in the chain.\n        \"\"\"\n        deleted_count = 0\n        processed_ids = set()\n        current_task_id = task_id\n\n        while current_task_id:\n            if current_task_id in processed_ids:\n                logger.warning(f\"Detected a cycle or repeated task in parent chain, breaking at: {current_task_id}\")\n                break\n\n            processed_ids.add(current_task_id)\n            task_key = f'celery-task-meta-{current_task_id}'\n\n            try:\n                task_data = self.backend_client.get(task_key)\n\n                parent_id = None\n                if task_data:\n                    # Get parent_id before deleting\n                    try:\n                        task_info = json.loads(task_data)\n                        parent_id = task_info.get('parent_id')\n                    except (json.JSONDecodeError, TypeError) as e:\n                        logger.warning(f\"Failed to parse task data for {task_key}, cannot find parent: {e}\")\n                        parent_id = None\n\n                    # Delete the current task\n                    if self.backend_client.delete(task_key):\n                        deleted_count += 1\n                        logger.debug(f\"Deleted task record from chain: {task_key}\")\n\n                current_task_id = parent_id\n\n            except Exception as e:\n                logger.error(f\"Error while processing task {task_key} in recursive delete: {e}\")\n                # Stop if any redis error occurs\n                break\n\n        return deleted_count, processed_ids\n\n    def _cleanup_celery_tasks(self, index_name: str) -> int:\n        \"\"\"\n        Clean up Celery task results related to the knowledge base and their parents.\n        Also marks all related tasks as cancelled before deletion to stop ongoing processing.\n\n        Args:\n            index_name: Name of the knowledge base\n\n        Returns:\n            Number of task records deleted\n        \"\"\"\n        total_deleted_count = 0\n        processed_tasks = set()  # Track tasks that have been processed to avoid redundant work\n        task_ids_to_cancel = set()  # Collect all task IDs to mark as cancelled\n\n        try:\n            # Get all Celery task result keys\n            task_keys = self.backend_client.keys('celery-task-meta-*')\n\n            # First pass: Collect all task IDs related to this knowledge base\n            for key in task_keys:\n                try:\n                    # Get task data\n                    task_data = self.backend_client.get(key)\n                    if task_data:\n                        import json\n                        task_info = json.loads(task_data)\n\n                        # Check if this task is related to our knowledge base\n                        result = task_info.get('result', {})\n                        task_index_name = None\n\n                        if isinstance(result, dict):\n                            # Standard check for successful tasks\n                            task_index_name = (\n                                result.get('index_name') or\n                                task_info.get('index_name') or\n                                result.get('kwargs', {}).get('index_name')\n                            )\n\n                            # Check for failed tasks where metadata is in the exception message\n                            if task_index_name is None and 'exc_message' in result:\n                                try:\n                                    exc_str = str(result['exc_message'])\n                                    if '{' in exc_str and '}' in exc_str:\n                                        json_part = exc_str[exc_str.find('{'):exc_str.rfind('}')+1]\n                                        cleaned_json_part = json_part.replace('\\\\\"', '\"')\n                                        error_data = json.loads(cleaned_json_part)\n                                        task_index_name = error_data.get('index_name')\n                                except (json.JSONDecodeError, TypeError, IndexError) as e:\n                                    key_str = key.decode('utf-8') if isinstance(key, bytes) else key\n                                    logger.warning(f\"Could not parse exception metadata for task key {key_str}: {e}\")\n\n                        if task_index_name == index_name:\n                            key_str = key.decode('utf-8') if isinstance(key, bytes) else key\n                            task_id = key_str.replace('celery-task-meta-', '')\n                            if task_id not in processed_tasks:\n                                # Collect task ID and its parent chain\n                                # We need to get the parent chain before deleting\n                                task_ids_to_cancel.add(task_id)\n                                # Also get parent chain by reading task data\n                                try:\n                                    parent_id = task_info.get('parent_id')\n                                    if parent_id:\n                                        task_ids_to_cancel.add(parent_id)\n                                except Exception:\n                                    pass\n\n                except Exception as e:\n                    logger.warning(f\"Error processing task key {key} for cleanup: {str(e)}\")\n                    continue\n\n            # Mark all collected task IDs as cancelled BEFORE deleting them\n            # This ensures ongoing processing tasks will detect cancellation and stop\n            for task_id in task_ids_to_cancel:\n                try:\n                    self.mark_task_cancelled(task_id)\n                    logger.info(f\"Marked task {task_id} as cancelled for knowledge base {index_name}\")\n                except Exception as e:\n                    logger.warning(f\"Failed to mark task {task_id} as cancelled: {str(e)}\")\n\n            # Second pass: Delete task records and clean up related keys\n            for key in task_keys:\n                try:\n                    task_data = self.backend_client.get(key)\n                    if task_data:\n                        import json\n                        task_info = json.loads(task_data)\n                        result = task_info.get('result', {})\n                        task_index_name = None\n\n                        if isinstance(result, dict):\n                            task_index_name = (\n                                result.get('index_name') or\n                                task_info.get('index_name') or\n                                result.get('kwargs', {}).get('index_name')\n                            )\n\n                            if task_index_name is None and 'exc_message' in result:\n                                try:\n                                    exc_str = str(result['exc_message'])\n                                    if '{' in exc_str and '}' in exc_str:\n                                        json_part = exc_str[exc_str.find('{'):exc_str.rfind('}')+1]\n                                        cleaned_json_part = json_part.replace('\\\\\"', '\"')\n                                        error_data = json.loads(cleaned_json_part)\n                                        task_index_name = error_data.get('index_name')\n                                except (json.JSONDecodeError, TypeError, IndexError):\n                                    pass\n\n                        if task_index_name == index_name:\n                            key_str = key.decode('utf-8') if isinstance(key, bytes) else key\n                            task_id = key_str.replace('celery-task-meta-', '')\n                            if task_id not in processed_tasks:\n                                # Delete task record and its parent chain\n                                deleted, processed_chain = self._recursively_delete_task_and_parents(task_id)\n                                total_deleted_count += deleted\n                                processed_tasks.update(processed_chain)\n                                # Clean up all related keys (progress, error, chunks) for each task\n                                for tid in processed_chain:\n                                    try:\n                                        self._cleanup_single_task_related_keys(tid)\n                                    except Exception as e:\n                                        logger.warning(f\"Failed to clean up keys for task {tid}: {str(e)}\")\n\n                except Exception as e:\n                    logger.warning(f\"Error processing task key {key} for cleanup: {str(e)}\")\n                    continue\n\n        except Exception as e:\n            logger.error(f\"Error cleaning up Celery tasks: {str(e)}\")\n            raise\n\n        return total_deleted_count\n\n    def _cleanup_cache_keys(self, index_name: str) -> int:\n        \"\"\"\n        Clean up cache keys related to the knowledge base\n\n        Args:\n            index_name: Name of the knowledge base\n\n        Returns:\n            Number of cache keys deleted\n        \"\"\"\n        deleted_count = 0\n\n        try:\n            # Define patterns to search for cache keys related to the knowledge base\n            patterns = [\n                f\"*{index_name}*\",  # Any key containing the index name\n                f\"kb:{index_name}:*\",  # Knowledge base specific cache keys\n                f\"index:{index_name}:*\",  # Index specific cache keys\n                f\"search:{index_name}:*\",  # Search cache keys\n            ]\n\n            for pattern in patterns:\n                try:\n                    keys = self.client.keys(pattern)\n                    if keys:\n                        # Delete keys in batch for efficiency\n                        deleted = self.client.delete(*keys)\n                        deleted_count += deleted\n                        logger.debug(f\"Deleted {deleted} cache keys matching pattern: {pattern}\")\n\n                except Exception as e:\n                    logger.warning(f\"Error processing cache pattern {pattern}: {str(e)}\")\n                    continue\n\n        except Exception as e:\n            logger.error(f\"Error cleaning up cache keys: {str(e)}\")\n            raise\n\n        return deleted_count\n\n    def _cleanup_document_celery_tasks(self, index_name: str, path_or_url: str) -> int:\n        \"\"\"\n        Clean up Celery task results related to a specific document and their parents.\n\n        Args:\n            index_name: Name of the knowledge base\n            path_or_url: Path or URL of the document\n\n        Returns:\n            Number of task records deleted\n        \"\"\"\n        total_deleted_count = 0\n        processed_tasks = set()\n\n        try:\n            # Get all Celery task result keys\n            task_keys = self.backend_client.keys('celery-task-meta-*')\n\n            for key in task_keys:\n                key_str = key.decode('utf-8') if isinstance(key, bytes) else key\n                task_id = key_str.replace('celery-task-meta-', '')\n\n                if task_id in processed_tasks:\n                    continue\n\n                try:\n                    # Get task data\n                    task_data = self.backend_client.get(key)\n                    if task_data:\n                        import json\n                        task_info = json.loads(task_data)\n\n                        # Check if this task is related to our specific document\n                        result = task_info.get('result', {})\n                        task_index_name = None\n                        task_source = None\n\n                        if isinstance(result, dict):\n                            # Standard check for successful tasks\n                            task_index_name = (\n                                result.get('index_name') or\n                                task_info.get('index_name') or\n                                result.get('kwargs', {}).get('index_name')\n                            )\n\n                            task_source = (\n                                result.get('source') or\n                                result.get('path_or_url') or\n                                task_info.get('source') or\n                                task_info.get('path_or_url') or\n                                result.get('kwargs', {}).get('source') or\n                                result.get('kwargs', {}).get('path_or_url')\n                            )\n\n                            # Check for failed tasks where metadata is in the exception message\n                            if task_index_name is None and 'exc_message' in result:\n                                try:\n                                    exc_str = str(result['exc_message'])\n                                    if '{' in exc_str and '}' in exc_str:\n                                        json_part = exc_str[exc_str.find('{'):exc_str.rfind('}')+1]\n                                        cleaned_json_part = json_part.replace('\\\\\"', '\"')\n                                        error_data = json.loads(cleaned_json_part)\n                                        task_index_name = error_data.get('index_name')\n                                        task_source = error_data.get('source') or error_data.get('path_or_url')\n                                except (json.JSONDecodeError, TypeError, IndexError) as e:\n                                    logger.warning(f\"Could not parse exception metadata for task {task_id}: {e}\")\n\n                        # Match both index name and document path/source\n                        if task_index_name == index_name and task_source == path_or_url:\n                            # Recursively delete this task and its parents\n                            if task_id not in processed_tasks:\n                                # Mark this task as cancelled so any in-flight\n                                # processing can observe the flag and stop.\n                                try:\n                                    self.mark_task_cancelled(task_id)\n                                except Exception as cancel_exc:\n                                    logger.warning(\n                                        f\"Failed to mark task {task_id} as cancelled during document cleanup: {cancel_exc}\"\n                                    )\n\n                                deleted, processed_chain = self._recursively_delete_task_and_parents(task_id)\n                                total_deleted_count += deleted\n                                processed_tasks.update(processed_chain)\n\n                                # Clean up all known keys for each task in the chain\n                                for processed_task_id in processed_chain:\n                                    self._cleanup_single_task_related_keys(processed_task_id)\n\n                except Exception as e:\n                    logger.warning(f\"Error processing task key {key} for document cleanup: {str(e)}\")\n                    continue\n\n        except Exception as e:\n            logger.error(f\"Error cleaning up document Celery tasks: {str(e)}\")\n            raise\n\n        return total_deleted_count\n\n    def _cleanup_document_cache_keys(self, index_name: str, path_or_url: str) -> int:\n        \"\"\"\n        Clean up cache keys related to a specific document\n\n        Args:\n            index_name: Name of the knowledge base\n            path_or_url: Path or URL of the document\n\n        Returns:\n            Number of cache keys deleted\n        \"\"\"\n        deleted_count = 0\n\n        try:\n            # Create a safe identifier from the path_or_url for cache key matching\n            import hashlib\n            import urllib.parse\n\n            # Create different possible cache key patterns for the document\n            safe_path = urllib.parse.quote(path_or_url, safe='')\n            path_hash = hashlib.md5(path_or_url.encode()).hexdigest()\n\n            # Define patterns to search for cache keys related to the specific document\n            patterns = [\n                f\"*{index_name}*{safe_path}*\",  # Cache keys containing both index name and safe path\n                f\"*{index_name}*{path_hash}*\",  # Cache keys containing both index name and path hash\n                f\"kb:{index_name}:doc:{safe_path}*\",  # Document specific cache keys\n                f\"kb:{index_name}:doc:{path_hash}*\",  # Document specific cache keys with hash\n                f\"doc:{safe_path}:*\",  # Document specific cache\n                f\"doc:{path_hash}:*\",  # Document specific cache with hash\n            ]\n\n            for pattern in patterns:\n                try:\n                    keys = self.client.keys(pattern)\n                    if keys:\n                        # Delete keys in batch for efficiency\n                        deleted = self.client.delete(*keys)\n                        deleted_count += deleted\n                        logger.debug(f\"Deleted {deleted} document cache keys matching pattern: {pattern}\")\n\n                except Exception as e:\n                    logger.warning(f\"Error processing document cache pattern {pattern}: {str(e)}\")\n                    continue\n\n        except Exception as e:\n            logger.error(f\"Error cleaning up document cache keys: {str(e)}\")\n            raise\n\n        return deleted_count\n\n    def get_knowledgebase_task_count(self, index_name: str) -> int:\n        \"\"\"\n        Get the count of Redis records related to a knowledge base\n\n        Args:\n            index_name: Name of the knowledge base\n\n        Returns:\n            Number of records found\n        \"\"\"\n        count = 0\n\n        try:\n            # Count Celery tasks\n            task_keys = self.backend_client.keys('celery-task-meta-*')\n            for key in task_keys:\n                try:\n                    task_data = self.backend_client.get(key)\n                    if task_data:\n                        import json\n                        task_info = json.loads(task_data)\n                        result = task_info.get('result', {})\n                        if isinstance(result, dict):\n                            task_index_name = (\n                                result.get('index_name') or\n                                task_info.get('index_name') or\n                                result.get('kwargs', {}).get('index_name')\n                            )\n                            if task_index_name == index_name:\n                                count += 1\n                except Exception:\n                    continue\n\n            # Count cache keys\n            patterns = [f\"*{index_name}*\", f\"kb:{index_name}:*\", f\"index:{index_name}:*\"]\n            for pattern in patterns:\n                try:\n                    keys = self.client.keys(pattern)\n                    count += len(keys)\n                except Exception:\n                    continue\n\n        except Exception as e:\n            logger.error(f\"Error counting knowledge base records: {str(e)}\")\n\n        return count\n\n    def ping(self) -> bool:\n        \"\"\"Test Redis connection\"\"\"\n        try:\n            self.client.ping()\n            self.backend_client.ping()\n            return True\n        except Exception as e:\n            logger.error(f\"Redis ping failed: {str(e)}\")\n            return False\n\n    def save_error_info(self, task_id: str, error_reason: str, ttl_days: int = 30) -> bool:\n        \"\"\"\n        Save error information to Redis for a specific task\n\n        Args:\n            task_id: Celery task ID\n            error_reason: Short error reason summary\n            ttl_days: Time to live in days (default 30 days)\n\n        Returns:\n            True if saved successfully, False otherwise\n        \"\"\"\n        try:\n            if not task_id:\n                logger.error(\"Cannot save error info: task_id is empty\")\n                return False\n            if not error_reason:\n                logger.error(f\"Cannot save error info for task {task_id}: error_reason is empty\")\n                return False\n            \n            ttl_seconds = ttl_days * 24 * 60 * 60\n            reason_key = f\"error:reason:{task_id}\"\n\n            # Save error reason\n            result = self.client.setex(reason_key, ttl_seconds, error_reason)\n            \n            if result:\n                logger.info(f\"Successfully saved error info to Redis for task {task_id}, key: {reason_key}\")\n                # Verify the save by reading it back\n                verify = self.client.get(reason_key)\n                if verify:\n                    logger.debug(f\"Verified error info saved for task {task_id}: {verify[:100]}...\")\n                else:\n                    logger.warning(f\"Failed to verify error info save for task {task_id}\")\n                return True\n            else:\n                logger.error(f\"Redis setex returned False for task {task_id}\")\n                return False\n        except Exception as e:\n            logger.error(\n                f\"Failed to save error info for task {task_id}: {str(e)}\", exc_info=True)\n            return False\n\n    def save_progress_info(self, task_id: str, processed_chunks: int, total_chunks: int, ttl_hours: int = 24) -> bool:\n        \"\"\"\n        Save progress information to Redis for a specific task\n\n        Args:\n            task_id: Celery task ID\n            processed_chunks: Number of chunks processed so far\n            total_chunks: Total number of chunks to process\n            ttl_hours: Time to live in hours (default 24 hours)\n\n        Returns:\n            True if saved successfully, False otherwise\n        \"\"\"\n        try:\n            if not task_id:\n                logger.error(\"Cannot save progress info: task_id is empty\")\n                return False\n            \n            progress_key = f\"progress:{task_id}\"\n            progress_data = {\n                'processed_chunks': processed_chunks,\n                'total_chunks': total_chunks\n            }\n            \n            ttl_seconds = ttl_hours * 3600\n            progress_json = json.dumps(progress_data)\n            self.client.setex(\n                progress_key,\n                ttl_seconds,\n                progress_json\n            )\n            # Use info level for better visibility during debugging\n            logger.info(f\"[REDIS PROGRESS] Saved progress for task {task_id}: {processed_chunks}/{total_chunks} (key: {progress_key}, TTL: {ttl_hours}h)\")\n            return True\n        except Exception as e:\n            logger.error(f\"Failed to save progress info for task {task_id}: {str(e)}\")\n            return False\n\n    def get_progress_info(self, task_id: str) -> Optional[Dict[str, int]]:\n        \"\"\"\n        Get progress information for a specific task\n\n        Args:\n            task_id: Celery task ID\n\n        Returns:\n            Dict with 'processed_chunks' and 'total_chunks' or None if not found\n        \"\"\"\n        try:\n            progress_key = f\"progress:{task_id}\"\n            progress_data = self.client.get(progress_key)\n            if progress_data:\n                if isinstance(progress_data, bytes):\n                    progress_data = progress_data.decode('utf-8')\n                return json.loads(progress_data)\n            return None\n        except Exception as e:\n            logger.warning(f\"Failed to get progress info for task {task_id}: {str(e)}\")\n            return None\n\n    def get_error_info(self, task_id: str) -> Optional[str]:\n        \"\"\"\n        Get error reason for a specific task\n\n        Args:\n            task_id: Celery task ID\n\n        Returns:\n            Error reason string or None if not found\n        \"\"\"\n        try:\n            reason_key = f\"error:reason:{task_id}\"\n            reason = self.client.get(reason_key)\n            # With decode_responses=True, reason is already a string\n            return reason if reason else None\n        except Exception as e:\n            logger.error(\n                f\"Failed to get error info for task {task_id}: {str(e)}\")\n            return None\n\n# Global Redis service instance\n_redis_service = None\n\n\ndef get_redis_service() -> RedisService:\n    \"\"\"Get the global Redis service instance\"\"\"\n    global _redis_service\n    if _redis_service is None:\n        _redis_service = RedisService()\n    return _redis_service\n"
  },
  {
    "path": "backend/services/remote_mcp_service.py",
    "content": "import logging\nimport os\nimport tempfile\n\nfrom fastmcp import Client\nfrom fastmcp.client.transports import StreamableHttpTransport, SSETransport\n\nfrom consts.const import CAN_EDIT_ALL_USER_ROLES, PERMISSION_EDIT, PERMISSION_READ\nfrom consts.exceptions import MCPConnectionError, MCPNameIllegal\nfrom database.remote_mcp_db import (\n    create_mcp_record,\n    delete_mcp_record_by_name_and_url,\n    delete_mcp_record_by_container_id,\n    get_mcp_records_by_tenant,\n    check_mcp_name_exists,\n    update_mcp_status_by_name_and_url,\n    update_mcp_record_by_name_and_url,\n    get_mcp_authorization_token_by_name_and_url,\n    get_mcp_record_by_id_and_tenant,\n)\nfrom database.user_tenant_db import get_user_tenant_by_user_id\nfrom services.mcp_container_service import MCPContainerManager\n\nlogger = logging.getLogger(\"remote_mcp_service\")\n\n\nasync def mcp_server_health(remote_mcp_server: str, authorization_token: str | None = None) -> bool:\n    try:\n        # Select transport based on URL ending\n        url_stripped = remote_mcp_server.strip()\n        headers = {\"Authorization\": authorization_token} if authorization_token else {}\n\n        if url_stripped.endswith(\"/sse\"):\n            transport = SSETransport(\n                url=url_stripped,\n                headers=headers\n            )\n        elif url_stripped.endswith(\"/mcp\"):\n            transport = StreamableHttpTransport(\n                url=url_stripped,\n                headers=headers\n            )\n        else:\n            # Default to StreamableHttpTransport for unrecognized formats\n            transport = StreamableHttpTransport(\n                url=url_stripped,\n                headers=headers\n            )\n\n        client = Client(transport=transport)\n        async with client:\n            connected = client.is_connected()\n            return connected\n    except BaseException as e:\n        logger.error(\n            f\"Remote MCP server health check failed: {e}\", exc_info=True)\n        # Prevent library-level exits (e.g., SystemExit) from crashing the service\n        raise MCPConnectionError(\"MCP connection failed\")\n\n\nasync def add_remote_mcp_server_list(\n    tenant_id: str,\n    user_id: str,\n    remote_mcp_server: str,\n    remote_mcp_server_name: str,\n    container_id: str | None = None,\n    authorization_token: str | None = None,\n):\n\n    # check if MCP name already exists\n    if check_mcp_name_exists(mcp_name=remote_mcp_server_name, tenant_id=tenant_id):\n        logger.error(\n            f\"MCP name already exists, tenant_id: {tenant_id}, remote_mcp_server_name: {remote_mcp_server_name}\")\n        raise MCPNameIllegal(\"MCP name already exists\")\n\n    # check if the address is available\n    if not await mcp_server_health(remote_mcp_server=remote_mcp_server, authorization_token=authorization_token):\n        raise MCPConnectionError(\"MCP connection failed\")\n\n    # update the PG database record\n    insert_mcp_data = {\n        \"mcp_name\": remote_mcp_server_name,\n        \"mcp_server\": remote_mcp_server,\n        \"status\": True,\n        \"container_id\": container_id,\n        \"authorization_token\": authorization_token,\n    }\n    create_mcp_record(mcp_data=insert_mcp_data,\n                      tenant_id=tenant_id, user_id=user_id)\n\n\nasync def delete_remote_mcp_server_list(tenant_id: str,\n                                        user_id: str,\n                                        remote_mcp_server: str,\n                                        remote_mcp_server_name: str):\n    # delete the record in the PG database\n    delete_mcp_record_by_name_and_url(mcp_name=remote_mcp_server_name,\n                                      mcp_server=remote_mcp_server,\n                                      tenant_id=tenant_id,\n                                      user_id=user_id)\n\n\nasync def update_remote_mcp_server_list(\n    update_data,\n    tenant_id: str,\n    user_id: str,\n):\n    \"\"\"\n    Update an existing remote MCP server record.\n\n    Args:\n        update_data: MCPUpdateRequest containing current and new values\n        tenant_id: Tenant ID\n        user_id: User ID\n\n    Raises:\n        MCPNameIllegal: If the new MCP name already exists (and is different from current)\n        MCPConnectionError: If the new MCP server URL is not accessible\n    \"\"\"\n    # Check if the current record exists by verifying the name exists for this tenant\n    if not check_mcp_name_exists(mcp_name=update_data.current_service_name, tenant_id=tenant_id):\n        logger.error(\n            f\"MCP name does not exist, tenant_id: {tenant_id}, current_mcp_server_name: {update_data.current_service_name}\")\n        raise MCPNameIllegal(\"MCP name does not exist\")\n\n    # If the new name is different from the current name, check if it already exists\n    if update_data.new_service_name != update_data.current_service_name:\n        if check_mcp_name_exists(mcp_name=update_data.new_service_name, tenant_id=tenant_id):\n            logger.error(\n                f\"New MCP name already exists, tenant_id: {tenant_id}, new_mcp_server_name: {update_data.new_service_name}\")\n            raise MCPNameIllegal(\"New MCP name already exists\")\n\n    # User authorization token\n    authorization_token = update_data.new_authorization_token\n\n    # Check if the new server URL is accessible\n    try:\n        status = await mcp_server_health(\n            remote_mcp_server=update_data.new_mcp_url,\n            authorization_token=authorization_token\n        )\n    except BaseException:\n        status = False\n\n    if not status:\n        logger.error(\n            f\"New MCP server health check failed: {update_data.new_mcp_url}\")\n        raise MCPConnectionError(\"New MCP server connection failed\")\n\n    # Update the database record\n    update_mcp_record_by_name_and_url(\n        update_data=update_data,\n        tenant_id=tenant_id,\n        user_id=user_id,\n        status=status\n    )\n\n\nasync def get_remote_mcp_server_list(tenant_id: str, user_id: str | None = None, is_need_auth: bool = True) -> list[dict]:\n    mcp_records = get_mcp_records_by_tenant(tenant_id=tenant_id)\n    mcp_records_list = []\n    can_edit_all = False\n    if user_id:\n        user_tenant_record = get_user_tenant_by_user_id(user_id) or {}\n        user_role = str(user_tenant_record.get(\"user_role\") or \"\").upper()\n        can_edit_all = user_role in CAN_EDIT_ALL_USER_ROLES\n\n    for record in mcp_records:\n        created_by = record.get(\"created_by\") or record.get(\"user_id\")\n        if user_id is None:\n            permission = PERMISSION_READ\n        else:\n            permission = PERMISSION_EDIT if can_edit_all or str(\n                created_by) == str(user_id) else PERMISSION_READ\n\n        record_dict = {\n            \"remote_mcp_server_name\": record[\"mcp_name\"],\n            \"remote_mcp_server\": record[\"mcp_server\"],\n            \"status\": record[\"status\"],\n            \"permission\": permission,\n            \"mcp_id\": record.get(\"mcp_id\"),\n        }\n        if is_need_auth:\n            record_dict[\"authorization_token\"] = record.get(\"authorization_token\")\n        mcp_records_list.append(record_dict)\n    return mcp_records_list\n\n\ndef attach_mcp_container_permissions(\n    *,\n    containers: list[dict],\n    tenant_id: str,\n    user_id: str | None = None,\n) -> list[dict]:\n    \"\"\"\n    Attach permission (EDIT/READ) to each MCP container entry.\n\n    Rules:\n    - If user's role is in CAN_EDIT_ALL_USER_ROLES => EDIT for all containers\n    - Otherwise => EDIT only if the container is associated with an MCP record created by this user\n    - If association cannot be determined => default to READ\n    \"\"\"\n    if not containers:\n        return []\n    can_edit_all = False\n    if user_id:\n        user_tenant_record = get_user_tenant_by_user_id(user_id) or {}\n        user_role = str(user_tenant_record.get(\"user_role\") or \"\").upper()\n        can_edit_all = user_role in CAN_EDIT_ALL_USER_ROLES\n\n    created_by_by_container_id: dict[str, str] = {}\n    try:\n        for record in get_mcp_records_by_tenant(tenant_id=tenant_id) or []:\n            cid = record.get(\"container_id\")\n            if not cid:\n                continue\n            created_by_by_container_id[str(cid)] = str(\n                record.get(\"created_by\") or record.get(\"user_id\") or \"\"\n            )\n    except Exception as e:\n        logger.warning(f\"Failed to load MCP records for permission mapping: {e}\")\n\n    enriched: list[dict] = []\n    for container in containers:\n        container_id = str(container.get(\"container_id\") or \"\")\n        created_by = created_by_by_container_id.get(container_id, \"\")\n\n        if user_id is None:\n            permission = PERMISSION_READ\n        else:\n            permission = PERMISSION_EDIT if can_edit_all or (\n                created_by and str(created_by) == str(user_id)\n            ) else PERMISSION_READ\n\n        enriched.append({**container, \"permission\": permission})\n\n    return enriched\n\n\nasync def check_mcp_health_and_update_db(mcp_url, service_name, tenant_id, user_id):\n    # Get authorization token from database\n    authorization_token = get_mcp_authorization_token_by_name_and_url(\n        mcp_name=service_name,\n        mcp_server=mcp_url,\n        tenant_id=tenant_id\n    )\n\n    # check the health of the MCP server\n    try:\n        status = await mcp_server_health(\n            remote_mcp_server=mcp_url,\n            authorization_token=authorization_token\n        )\n    except BaseException:\n        status = False\n    # update the status of the MCP server in the database\n    update_mcp_status_by_name_and_url(\n        mcp_name=service_name,\n        mcp_server=mcp_url,\n        tenant_id=tenant_id,\n        user_id=user_id,\n        status=status)\n    if not status:\n        raise MCPConnectionError(\"MCP connection failed\")\n\n\nasync def delete_mcp_by_container_id(tenant_id: str, user_id: str, container_id: str):\n    \"\"\"\n    Soft delete MCP record associated with a specific container ID.\n\n    This is used when stopping a containerized MCP so that the MCP record and\n    its container are removed together.\n    \"\"\"\n    delete_mcp_record_by_container_id(\n        container_id=container_id,\n        tenant_id=tenant_id,\n        user_id=user_id,\n    )\n\n\nasync def get_mcp_record_by_id(mcp_id: int, tenant_id: str) -> dict | None:\n    \"\"\"\n    Get MCP record by ID\n\n    Args:\n        mcp_id: MCP record ID\n        tenant_id: Tenant ID\n\n    Returns:\n        Dictionary containing mcp_name, mcp_server, and authorization_token, or None if not found\n    \"\"\"\n    mcp_record = get_mcp_record_by_id_and_tenant(mcp_id=mcp_id, tenant_id=tenant_id)\n    if not mcp_record:\n        return None\n\n    return {\n        \"mcp_name\": mcp_record.get(\"mcp_name\"),\n        \"mcp_server\": mcp_record.get(\"mcp_server\"),\n        \"authorization_token\": mcp_record.get(\"authorization_token\"),\n    }\n\n\nasync def upload_and_start_mcp_image(\n    tenant_id: str,\n    user_id: str,\n    file_content: bytes,\n    filename: str,\n    port: int,\n    service_name: str | None = None,\n    env_vars: str | None = None,\n):\n    \"\"\"\n    Upload MCP Docker image and start container.\n\n    Args:\n        tenant_id: Tenant ID for isolation\n        user_id: User ID for isolation\n        file_content: Raw file content bytes\n        filename: Original filename\n        port: Host port to expose the MCP server on\n        service_name: Optional name for the MCP service (auto-generated if not provided)\n        env_vars: Optional environment variables as JSON string\n\n    Returns:\n        Dictionary with service details including mcp_url, container_id, etc.\n\n    Raises:\n        MCPContainerError: If container operations fail\n        MCPNameIllegal: If service name already exists\n        ValueError: If file validation fails\n    \"\"\"\n    # Validate file type\n    if not filename.lower().endswith('.tar'):\n        raise ValueError(\"Only .tar files are allowed\")\n\n    # Validate file size (limit to 1GB)\n    file_size = len(file_content)\n    if file_size > 1024 * 1024 * 1024:  # 1GB limit\n        raise ValueError(\"File size exceeds 1GB limit\")\n\n    # Parse environment variables\n    parsed_env_vars = None\n    if env_vars:\n        try:\n            import json\n            parsed_env_vars = json.loads(env_vars)\n            if not isinstance(parsed_env_vars, dict):\n                raise ValueError(\"Environment variables must be a JSON object\")\n        except (json.JSONDecodeError, ValueError) as e:\n            raise ValueError(f\"Invalid environment variables format: {str(e)}\")\n\n    # Generate service name if not provided\n    final_service_name = service_name\n    if not final_service_name:\n        # Remove .tar extension from filename\n        final_service_name = os.path.splitext(filename)[0]\n\n    # Check if MCP service name already exists\n    if check_mcp_name_exists(mcp_name=final_service_name, tenant_id=tenant_id):\n        raise MCPNameIllegal(\"MCP service name already exists\")\n\n    # Save file to temporary location (delete=False, manual cleanup)\n    with tempfile.NamedTemporaryFile(delete=False, suffix='.tar') as temp_file:\n        temp_file.write(file_content)\n        temp_file_path = temp_file.name\n\n    try:\n        # Initialize container manager\n        container_manager = MCPContainerManager()\n\n        # Start container from uploaded image\n        # Note: uploaded image should be a complete MCP server implementation\n        # that can be started directly without additional commands (uses image's CMD/ENTRYPOINT)\n        container_info = await container_manager.start_mcp_container_from_tar(\n            tar_file_path=temp_file_path,\n            service_name=final_service_name,\n            tenant_id=tenant_id,\n            user_id=user_id,\n            env_vars=parsed_env_vars,\n            host_port=port,\n            full_command=None,  # Uploaded image should contain the MCP server\n        )\n    finally:\n        # Manual cleanup of temporary file\n        try:\n            os.unlink(temp_file_path)\n        except Exception as e:\n            logger.warning(\n                f\"Failed to clean up temporary file {temp_file_path}: {e}\")\n\n    # Extract authorization_token from env_vars for database registration\n    authorization_token = None\n    if parsed_env_vars:\n        authorization_token = parsed_env_vars.get(\"authorization_token\")\n\n    # Register to remote MCP server list\n    await add_remote_mcp_server_list(\n        tenant_id=tenant_id,\n        user_id=user_id,\n        remote_mcp_server=container_info[\"mcp_url\"],\n        remote_mcp_server_name=final_service_name,\n        container_id=container_info[\"container_id\"],\n        authorization_token=authorization_token,\n    )\n\n    return {\n        \"message\": \"MCP container started successfully from uploaded image\",\n        \"status\": \"success\",\n        \"service_name\": final_service_name,\n        \"mcp_url\": container_info[\"mcp_url\"],\n        \"container_id\": container_info[\"container_id\"],\n        \"container_name\": container_info.get(\"container_name\"),\n        \"host_port\": container_info.get(\"host_port\")\n    }\n"
  },
  {
    "path": "backend/services/tenant_service.py",
    "content": "\"\"\"\nTenant service for managing tenant operations\n\"\"\"\nimport asyncio\nimport logging\nimport uuid\nfrom typing import Any, Dict, List, Optional\n\nfrom database.tenant_config_db import (\n    get_single_config_info,\n    insert_config,\n    update_config_by_tenant_config_id,\n    get_all_tenant_ids,\n    delete_config_by_tenant_config_id,\n    get_all_configs_by_tenant_id,\n)\nfrom database.user_tenant_db import get_users_by_tenant_id, soft_delete_users_by_tenant_id\nfrom services.user_service import delete_user_and_cleanup\nfrom database.group_db import add_group, query_groups_by_tenant, remove_group\nfrom database.model_management_db import get_model_records, delete_model_record\nfrom database.knowledge_db import get_knowledge_info_by_tenant_id, delete_knowledge_record\nfrom database.agent_db import query_all_agent_info_by_tenant_id, delete_agent_by_id, delete_agent_relationship\nfrom database.remote_mcp_db import get_mcp_records_by_tenant, delete_mcp_record_by_name_and_url\nfrom database.invitation_db import query_invitations_by_tenant, remove_invitation\nfrom database.tool_db import delete_tools_by_agent_id\nfrom consts.const import TENANT_NAME, TENANT_ID, DEFAULT_GROUP_ID\nfrom consts.exceptions import NotFoundException, ValidationError, UserRegistrationException\n\nlogger = logging.getLogger(__name__)\n\n\ndef get_tenant_info(tenant_id: str) -> Dict[str, Any]:\n    \"\"\"\n    Get tenant information by tenant ID\n\n    If TENANT_NAME config is missing, automatically create one with default name.\n\n    Args:\n        tenant_id (str): Tenant ID\n\n    Returns:\n        Dict[str, Any]: Tenant information\n    \"\"\"\n    if not tenant_id:\n        return {}\n\n    # Get tenant name\n    name_config = get_single_config_info(tenant_id, TENANT_NAME)\n    if not name_config:\n        logger.warning(f\"The name of tenant {tenant_id} not found, creating default config.\")\n        # Auto-create TENANT_NAME config with default name\n        _ensure_tenant_name_config(tenant_id)\n        # Re-fetch after creation\n        name_config = get_single_config_info(tenant_id, TENANT_NAME)\n\n    group_config = get_single_config_info(tenant_id, DEFAULT_GROUP_ID)\n\n    tenant_info = {\n        \"tenant_id\": tenant_id,\n        \"tenant_name\": name_config.get(\"config_value\") if name_config else \"\",\n        \"default_group_id\": group_config.get(\"config_value\") if group_config else \"\"\n    }\n\n    return tenant_info\n\n\ndef _ensure_tenant_name_config(tenant_id: str) -> bool:\n    \"\"\"\n    Ensure TENANT_NAME config exists for the tenant.\n    Creates a default name config if it doesn't exist.\n\n    Args:\n        tenant_id: Tenant ID\n\n    Returns:\n        bool: True if config exists or was created successfully, False otherwise\n    \"\"\"\n    # Check if already exists (double-check in case of race condition)\n    existing = get_single_config_info(tenant_id, TENANT_NAME)\n    if existing:\n        return True\n\n    # Create default TENANT_NAME config\n    tenant_name_data = {\n        \"tenant_id\": tenant_id,\n        \"config_key\": TENANT_NAME,\n        \"config_value\": \"Unnamed Tenant\",\n        \"created_by\": \"system_auto_create\",\n        \"updated_by\": \"system_auto_create\"\n    }\n    success = insert_config(tenant_name_data)\n    if success:\n        logger.info(f\"Auto-created TENANT_NAME config for tenant {tenant_id}\")\n    else:\n        logger.error(f\"Failed to auto-create TENANT_NAME config for tenant {tenant_id}\")\n    return success\n\n\ndef check_tenant_name_exists(tenant_name: str, exclude_tenant_id: Optional[str] = None) -> bool:\n    \"\"\"\n    Check if a tenant with the given name already exists\n\n    Args:\n        tenant_name (str): Tenant name to check\n        exclude_tenant_id (Optional[str]): Tenant ID to exclude from check (for rename operations)\n\n    Returns:\n        bool: True if tenant name already exists, False otherwise\n    \"\"\"\n    all_tenant_ids = get_all_tenant_ids()\n\n    for tid in all_tenant_ids:\n        # Skip if this is the tenant being updated\n        if exclude_tenant_id and tid == exclude_tenant_id:\n            continue\n\n        # Check if this tenant has the given name\n        name_config = get_single_config_info(tid, TENANT_NAME)\n        if name_config and name_config.get(\"config_value\") == tenant_name:\n            return True\n\n    return False\n\n\ndef get_tenants_paginated(page: int = 1, page_size: int = 20) -> Dict[str, Any]:\n    \"\"\"\n    Get tenants with pagination support\n\n    Args:\n        page (int): Page number (starting from 1)\n        page_size (int): Number of items per page\n\n    Returns:\n        Dict[str, Any]: Dictionary containing paginated tenant data and pagination info\n    \"\"\"\n    # Get all tenant IDs first\n    all_tenant_ids = get_all_tenant_ids()\n    total = len(all_tenant_ids)\n\n    # Calculate pagination\n    total_pages = (total + page_size - 1) // page_size if total > 0 else 1\n    start_idx = (page - 1) * page_size\n    end_idx = start_idx + page_size\n\n    # Get tenant IDs for current page\n    page_tenant_ids = all_tenant_ids[start_idx:end_idx]\n\n    tenants = []\n    for tenant_id in page_tenant_ids:\n        try:\n            tenant_info = get_tenant_info(tenant_id)\n            tenants.append(tenant_info)\n        except NotFoundException:\n            logging.warning(f\"Tenant info of {tenant_id} not found. Returning basic tenant structure.\")\n            tenant_info = {\n                \"tenant_id\": tenant_id,\n                \"tenant_name\": \"\",\n                \"default_group_id\": \"\"\n            }\n            tenants.append(tenant_info)\n\n    return {\n        \"data\": tenants,\n        \"total\": total,\n        \"page\": page,\n        \"page_size\": page_size,\n        \"total_pages\": total_pages\n    }\n\n\ndef create_tenant(tenant_name: str, created_by: Optional[str] = None) -> Dict[str, Any]:\n    \"\"\"\n    Create a new tenant with default group\n\n    Args:\n        tenant_name (str): Tenant name\n        created_by (Optional[str]): Created by user ID\n\n    Returns:\n        Dict[str, Any]: Created tenant information\n\n    Raises:\n        ValidationError: When tenant creation fails or tenant name already exists\n    \"\"\"\n    # Generate a random UUID for tenant_id\n    tenant_id = str(uuid.uuid4())\n\n    # Validate tenant name\n    if not tenant_name or not tenant_name.strip():\n        raise ValidationError(\"Tenant name cannot be empty\")\n\n    # Check if tenant name already exists\n    if check_tenant_name_exists(tenant_name.strip()):\n        raise ValidationError(f\"Tenant with name '{tenant_name.strip()}' already exists\")\n\n    try:\n        # Create default group first\n        default_group_id = _create_default_group_for_tenant(tenant_id, created_by)\n\n        # Create tenant ID configuration\n        tenant_id_data = {\n            \"tenant_id\": tenant_id,\n            \"config_key\": TENANT_ID,\n            \"config_value\": tenant_id,\n            \"created_by\": created_by,\n            \"updated_by\": created_by\n        }\n        id_success = insert_config(tenant_id_data)\n        if not id_success:\n            raise ValidationError(\"Failed to create tenant ID configuration\")\n\n        # Create tenant name configuration\n        tenant_name_data = {\n            \"tenant_id\": tenant_id,\n            \"config_key\": TENANT_NAME,\n            \"config_value\": tenant_name.strip(),\n            \"created_by\": created_by,\n            \"updated_by\": created_by\n        }\n        name_success = insert_config(tenant_name_data)\n        if not name_success:\n            raise ValidationError(\"Failed to create tenant name configuration\")\n\n        # Create default group ID configuration\n        group_config_data = {\n            \"tenant_id\": tenant_id,\n            \"config_key\": DEFAULT_GROUP_ID,\n            \"config_value\": str(default_group_id),\n            \"created_by\": created_by,\n            \"updated_by\": created_by\n        }\n        group_success = insert_config(group_config_data)\n        if not group_success:\n            raise ValidationError(\"Failed to create tenant default group configuration\")\n\n        tenant_info = {\n            \"tenant_id\": tenant_id,\n            \"tenant_name\": tenant_name.strip(),\n            \"default_group_id\": str(default_group_id)\n        }\n\n        logger.info(f\"Created tenant {tenant_id} with name '{tenant_name}' and default group {default_group_id}\")\n        return tenant_info\n\n    except Exception as e:\n        logger.error(f\"Failed to create tenant {tenant_id}: {str(e)}\")\n        raise ValidationError(f\"Failed to create tenant: {str(e)}\")\n\n\ndef update_tenant_info(tenant_id: str, tenant_name: str, updated_by: Optional[str] = None) -> Dict[str, Any]:\n    \"\"\"\n    Update tenant information\n\n    If TENANT_NAME config doesn't exist, creates it with the provided name.\n\n    Args:\n        tenant_id (str): Tenant ID\n        tenant_name (str): New tenant name\n        updated_by (Optional[str]): Updated by user ID\n\n    Returns:\n        Dict[str, Any]: Updated tenant information\n\n    Raises:\n        ValidationError: When tenant name is invalid or update fails\n    \"\"\"\n    # Validate tenant name\n    if not tenant_name or not tenant_name.strip():\n        raise ValidationError(\"Tenant name cannot be empty\")\n\n    # Check if tenant name already exists (exclude current tenant)\n    if check_tenant_name_exists(tenant_name.strip(), exclude_tenant_id=tenant_id):\n        raise ValidationError(f\"Tenant with name '{tenant_name.strip()}' already exists\")\n\n    # Check if tenant name config exists\n    name_config = get_single_config_info(tenant_id, TENANT_NAME)\n    if not name_config:\n        # Tenant config doesn't exist, create it with the provided name\n        logger.info(f\"TENANT_NAME config not found for {tenant_id}, creating new config.\")\n        tenant_name_data = {\n            \"tenant_id\": tenant_id,\n            \"config_key\": TENANT_NAME,\n            \"config_value\": tenant_name.strip(),\n            \"created_by\": updated_by,\n            \"updated_by\": updated_by\n        }\n        success = insert_config(tenant_name_data)\n        if not success:\n            raise ValidationError(\"Failed to create tenant name configuration\")\n    else:\n        # Update existing config\n        success = update_config_by_tenant_config_id(\n            name_config[\"tenant_config_id\"],\n            tenant_name.strip()\n        )\n        if not success:\n            raise ValidationError(\"Failed to update tenant name\")\n\n    # Return updated tenant information\n    updated_tenant = get_tenant_info(tenant_id)\n    logger.info(f\"Updated tenant {tenant_id} name to '{tenant_name}'\")\n    return updated_tenant\n\n\nasync def delete_tenant(tenant_id: str, deleted_by: Optional[str] = None) -> bool:\n    \"\"\"\n    Delete tenant and all associated resources\n\n    This performs cascade deletion of:\n    - All users in the tenant (soft delete)\n    - All groups in the tenant\n    - All models in the tenant\n    - All knowledge bases in the tenant\n    - All agents in the tenant (including tool instances)\n    - All MCP configurations in the tenant\n    - All invitation codes in the tenant\n    - All tenant configurations\n\n    Args:\n        tenant_id (str): Tenant ID to delete\n        deleted_by (Optional[str]): User who initiated the deletion\n\n    Returns:\n        bool: True if deletion was successful\n\n    Raises:\n        NotFoundException: When tenant does not exist\n        ValidationError: When deletion fails\n    \"\"\"\n    # Validate tenant exists\n    name_config = get_single_config_info(tenant_id, TENANT_NAME)\n    if not name_config:\n        raise NotFoundException(f\"Tenant {tenant_id} does not exist\")\n\n    logger.info(f\"Starting cascade deletion for tenant {tenant_id} by {deleted_by}\")\n\n    try:\n        # 1. Deactivate all users in the tenant (full cleanup including Supabase deletion)\n        logger.info(f\"Deactivating users for tenant {tenant_id}\")\n        users_result = get_users_by_tenant_id(tenant_id, page=1, page_size=10000)\n        users = users_result.get(\"users\", [])\n\n        if users:\n            async def delete_single_user(user: Dict[str, Any]) -> None:\n                user_id = user.get(\"user_id\")\n                if user_id:\n                    try:\n                        await delete_user_and_cleanup(user_id, tenant_id)\n                        logger.info(f\"Deactivated user {user_id} for tenant {tenant_id}\")\n                    except Exception as e:\n                        logger.warning(f\"Failed to deactivate user {user_id}: {str(e)}\")\n\n            # Concurrently delete all users\n            await asyncio.gather(*[delete_single_user(user) for user in users])\n\n        # 2. Delete all groups in the tenant\n        logger.info(f\"Deleting groups for tenant {tenant_id}\")\n        groups = query_groups_by_tenant(tenant_id, page=1, page_size=10000)\n        for group in groups.get(\"data\", []):\n            try:\n                remove_group(group[\"group_id\"], deleted_by)\n            except Exception as e:\n                logger.warning(f\"Failed to delete group {group.get('group_id')}: {str(e)}\")\n\n        # 3. Delete all models in the tenant\n        logger.info(f\"Deleting models for tenant {tenant_id}\")\n        models = get_model_records({\"tenant_id\": tenant_id}, tenant_id)\n        for model in models:\n            try:\n                delete_model_record(model[\"model_id\"], deleted_by or \"system\", tenant_id)\n            except Exception as e:\n                logger.warning(f\"Failed to delete model {model.get('model_id')}: {str(e)}\")\n\n        # 4. Delete all knowledge bases in the tenant\n        logger.info(f\"Deleting knowledge bases for tenant {tenant_id}\")\n        knowledge_list = get_knowledge_info_by_tenant_id(tenant_id)\n        for kb in knowledge_list:\n            try:\n                delete_knowledge_record({\n                    \"knowledge_id\": kb[\"knowledge_id\"],\n                    \"user_id\": deleted_by or \"system\"\n                })\n            except Exception as e:\n                logger.warning(f\"Failed to delete knowledge base {kb.get('knowledge_id')}: {str(e)}\")\n\n        # 5. Delete all agents in the tenant (including related data)\n        logger.info(f\"Deleting agents for tenant {tenant_id}\")\n        agents = query_all_agent_info_by_tenant_id(tenant_id, version_no=0)\n        for agent in agents:\n            try:\n                agent_id = agent.get(\"agent_id\")\n                # Delete tool instances first\n                delete_tools_by_agent_id(agent_id, tenant_id, deleted_by or \"system\", version_no=0)\n                # Delete agent relationships\n                delete_agent_relationship(agent_id, tenant_id, deleted_by or \"system\", version_no=0)\n                # Delete the agent\n                delete_agent_by_id(agent_id, tenant_id, deleted_by or \"system\")\n            except Exception as e:\n                logger.warning(f\"Failed to delete agent {agent.get('agent_id')}: {str(e)}\")\n\n        # Also delete published agents (version_no >= 1)\n        agents_published = query_all_agent_info_by_tenant_id(tenant_id, version_no=1)\n        for agent in agents_published:\n            try:\n                agent_id = agent.get(\"agent_id\")\n                delete_tools_by_agent_id(agent_id, tenant_id, deleted_by or \"system\", version_no=1)\n                delete_agent_relationship(agent_id, tenant_id, deleted_by or \"system\", version_no=1)\n                delete_agent_by_id(agent_id, tenant_id, deleted_by or \"system\")\n            except Exception as e:\n                logger.warning(f\"Failed to delete published agent {agent.get('agent_id')}: {str(e)}\")\n\n        # 6. Delete all MCP configurations in the tenant\n        logger.info(f\"Deleting MCP records for tenant {tenant_id}\")\n        mcp_list = get_mcp_records_by_tenant(tenant_id)\n        for mcp in mcp_list:\n            try:\n                delete_mcp_record_by_name_and_url(\n                    mcp[\"mcp_name\"],\n                    mcp[\"mcp_server\"],\n                    tenant_id,\n                    deleted_by or \"system\"\n                )\n            except Exception as e:\n                logger.warning(f\"Failed to delete MCP {mcp.get('mcp_id')}: {str(e)}\")\n\n        # 7. Delete all invitation codes in the tenant\n        logger.info(f\"Deleting invitations for tenant {tenant_id}\")\n        invitations = query_invitations_by_tenant(tenant_id)\n        for invitation in invitations:\n            try:\n                remove_invitation(invitation[\"invitation_id\"], deleted_by)\n            except Exception as e:\n                logger.warning(f\"Failed to delete invitation {invitation.get('invitation_id')}: {str(e)}\")\n\n        # 8. Delete all tenant configurations (must be done last)\n        logger.info(f\"Deleting tenant configurations for tenant {tenant_id}\")\n        # Delete all config records for this tenant\n        all_configs = get_all_configs_by_tenant_id(tenant_id)\n        for config in all_configs:\n            try:\n                delete_config_by_tenant_config_id(config[\"tenant_config_id\"])\n            except Exception as e:\n                logger.warning(f\"Failed to delete config {config.get('tenant_config_id')}: {str(e)}\")\n\n        logger.info(f\"Successfully deleted tenant {tenant_id} and all associated resources\")\n        return True\n\n    except Exception as e:\n        logger.error(f\"Failed to delete tenant {tenant_id}: {str(e)}\")\n        raise ValidationError(f\"Failed to delete tenant: {str(e)}\")\n\n\ndef _create_default_group_for_tenant(tenant_id: str, created_by: Optional[str] = None) -> int:\n    \"\"\"\n    Create a default group for a new tenant\n\n    Args:\n        tenant_id (str): Tenant ID\n        created_by (Optional[str]): Created by user ID\n\n    Returns:\n        int: Created default group ID\n\n    Raises:\n        ValidationError: When default group creation fails\n    \"\"\"\n    try:\n        default_group_name = \"Default Group\"\n        group_id = add_group(\n            tenant_id=tenant_id,\n            group_name=default_group_name,\n            group_description=\"Default group created automatically for new tenant\",\n            created_by=created_by\n        )\n\n        return group_id\n\n    except Exception as e:\n        logger.error(f\"Failed to create default group for tenant {tenant_id}: {str(e)}\")\n        raise ValidationError(f\"Failed to create default group: {str(e)}\")\n"
  },
  {
    "path": "backend/services/tool_configuration_service.py",
    "content": "import importlib\nimport inspect\nimport json\nimport logging\nfrom typing import Any, List, Optional, Dict\nfrom urllib.parse import urljoin\n\nfrom pydantic_core import PydanticUndefined\nfrom fastmcp import Client\nfrom fastmcp.client.transports import StreamableHttpTransport, SSETransport\nimport jsonref\nfrom mcpadapt.smolagents_adapter import _sanitize_function_name\n\nfrom consts.const import LOCAL_MCP_SERVER, DATA_PROCESS_SERVICE\nfrom consts.exceptions import MCPConnectionError, ToolExecutionException, NotFoundException\nfrom consts.model import ToolInstanceInfoRequest, ToolInfo, ToolSourceEnum, ToolValidateRequest\nfrom database.remote_mcp_db import (\n    get_mcp_records_by_tenant,\n    get_mcp_server_by_name_and_tenant,\n    get_mcp_authorization_token_by_name_and_url,\n)\nfrom database.tool_db import (\n    create_or_update_tool_by_tool_info,\n    query_all_tools,\n    query_tool_instances_by_id,\n    update_tool_table_from_scan_tool_list,\n    search_last_tool_instance_by_tool_id,\n    check_tool_list_initialized,\n)\nfrom services.file_management_service import get_llm_model\nfrom services.vectordatabase_service import get_embedding_model, get_vector_db_core\nfrom database.client import minio_client\nfrom services.image_service import get_vlm_model\n\nlogger = logging.getLogger(\"tool_configuration_service\")\n\n\ndef _create_mcp_transport(url: str, authorization_token: Optional[str] = None):\n    \"\"\"\n    Create appropriate MCP transport based on URL ending.\n\n    Args:\n        url: MCP server URL\n        authorization_token: Optional authorization token\n\n    Returns:\n        Transport instance (SSETransport or StreamableHttpTransport)\n    \"\"\"\n    url_stripped = url.strip()\n    headers = {\"Authorization\": authorization_token} if authorization_token else {}\n\n    if url_stripped.endswith(\"/sse\"):\n        return SSETransport(url=url_stripped, headers=headers)\n    elif url_stripped.endswith(\"/mcp\"):\n        return StreamableHttpTransport(url=url_stripped, headers=headers)\n    else:\n        # Default to StreamableHttpTransport for unrecognized formats\n        return StreamableHttpTransport(url=url_stripped, headers=headers)\n\n\ndef python_type_to_json_schema(annotation: Any) -> str:\n    \"\"\"\n    Convert Python type annotations to JSON Schema types\n\n    Args:\n        annotation: Python type annotation\n\n    Returns:\n        Corresponding JSON Schema type string\n    \"\"\"\n    # Handle case with no type annotation\n    if annotation == inspect.Parameter.empty:\n        return \"string\"\n\n    # Get type name\n    type_name = getattr(annotation, \"__name__\", str(annotation))\n\n    # Type mapping dictionary\n    type_mapping = {\n        \"str\": \"string\",\n        \"int\": \"integer\",\n        \"float\": \"float\",\n        \"bool\": \"boolean\",\n        \"list\": \"array\",\n        \"List\": \"array\",\n        \"tuple\": \"array\",\n        \"Tuple\": \"array\",\n        \"dict\": \"object\",\n        \"Dict\": \"object\",\n        \"Any\": \"any\"\n    }\n\n    # Return mapped type, or original type name if no mapping exists\n    return type_mapping.get(type_name, type_name)\n\n\ndef get_local_tools() -> List[ToolInfo]:\n    \"\"\"\n    Get metadata for all locally available tools\n\n    Returns:\n        List of ToolInfo objects for local tools\n    \"\"\"\n    tools_info = []\n    tools_classes = get_local_tools_classes()\n    for tool_class in tools_classes:\n        init_params_list = []\n        sig = inspect.signature(tool_class.__init__)\n        for param_name, param in sig.parameters.items():\n            if param_name == \"self\" or param.default.exclude:\n                continue\n\n            param_info = {\n                \"type\": python_type_to_json_schema(param.annotation),\n                \"name\": param_name,\n                \"description\": param.default.description\n            }\n            if param.default.default is PydanticUndefined:\n                param_info[\"optional\"] = False\n            else:\n                param_info[\"default\"] = param.default.default\n                param_info[\"optional\"] = True\n\n            init_params_list.append(param_info)\n\n        # get tool fixed attributes\n        tool_info = ToolInfo(\n            name=getattr(tool_class, 'name'),\n            description=getattr(tool_class, 'description'),\n            params=init_params_list,\n            source=ToolSourceEnum.LOCAL.value,\n            inputs=json.dumps(getattr(tool_class, 'inputs'),\n                              ensure_ascii=False),\n            output_type=getattr(tool_class, 'output_type'),\n            category=getattr(tool_class, 'category'),\n            class_name=tool_class.__name__,\n            usage=None,\n            origin_name=getattr(tool_class, 'name')\n        )\n        tools_info.append(tool_info)\n    return tools_info\n\n\ndef get_local_tools_classes() -> List[type]:\n    \"\"\"\n    Get all tool classes from the nexent.core.tools package\n\n    Returns:\n        List of tool class objects\n    \"\"\"\n    tools_package = importlib.import_module('nexent.core.tools')\n    tools_classes = []\n    for name in dir(tools_package):\n        obj = getattr(tools_package, name)\n        if inspect.isclass(obj):\n            tools_classes.append(obj)\n    return tools_classes\n\n\n# --------------------------------------------------\n# LangChain tools discovery (functions decorated with @tool)\n# --------------------------------------------------\n\ndef _build_tool_info_from_langchain(obj) -> ToolInfo:\n    \"\"\"Convert a LangChain Tool object into our internal ToolInfo model.\"\"\"\n\n    # Try to infer parameter schema from the underlying callable signature if\n    # available.  LangChain tools usually expose a `.func` attribute pointing\n    # to the original python function.  If not present, we fallback to the\n    # tool instance itself (implements __call__).\n    target_callable = getattr(obj, \"func\", obj)\n\n    inputs = getattr(obj, \"args\", {})\n\n    if inputs:\n        for key, value in inputs.items():\n            if \"description\" not in value:\n                value[\"description\"] = \"see the description\"\n\n    # Attempt to infer output type from return annotation\n    try:\n        return_schema = inspect.signature(target_callable).return_annotation\n        output_type = python_type_to_json_schema(return_schema)\n    except (TypeError, ValueError):\n        output_type = \"string\"\n    tool_name = getattr(obj, \"name\", target_callable.__name__)\n    tool_info = ToolInfo(\n        name=tool_name,\n        description=getattr(obj, \"description\", \"\"),\n        params=[],\n        source=ToolSourceEnum.LANGCHAIN.value,\n        inputs=json.dumps(inputs, ensure_ascii=False),\n        output_type=output_type,\n        class_name=tool_name,\n        usage=None,\n        origin_name=tool_name,\n        category=None\n    )\n    return tool_info\n\n\ndef get_langchain_tools() -> List[ToolInfo]:\n    \"\"\"Discover LangChain tools in the specified directory.\n\n    We dynamically import every `*.py` file and extract objects that look like\n    LangChain tools (based on presence of `name` & `description`).  Any valid\n    tool is converted to ToolInfo with source = \"langchain\".\n    \"\"\"\n    from utils.langchain_utils import discover_langchain_modules\n\n    tools_info: List[ToolInfo] = []\n    # Discover all objects that look like LangChain tools\n    discovered_tools = discover_langchain_modules()\n\n    # Process discovered tools\n    for obj, filename in discovered_tools:\n        try:\n            tool_info = _build_tool_info_from_langchain(obj)\n            tools_info.append(tool_info)\n        except Exception as e:\n            logger.warning(\n                f\"Error processing LangChain tool in {filename}: {e}\")\n\n    return tools_info\n\n\nasync def get_all_mcp_tools(tenant_id: str) -> List[ToolInfo]:\n    \"\"\"\n    Get metadata for all tools available from the MCP service\n\n    Returns:\n        List of ToolInfo objects for MCP tools, or empty list if connection fails\n    \"\"\"\n    mcp_info = get_mcp_records_by_tenant(tenant_id=tenant_id)\n    tools_info = []\n    for record in mcp_info:\n        # only update connected server\n        if record[\"status\"]:\n            try:\n                tools_info.extend(await get_tool_from_remote_mcp_server(\n                    mcp_server_name=record[\"mcp_name\"],\n                    remote_mcp_server=record[\"mcp_server\"],\n                    tenant_id=tenant_id\n                ))\n            except Exception as e:\n                logger.error(f\"mcp connection error: {str(e)}\")\n\n    default_mcp_url = urljoin(LOCAL_MCP_SERVER, \"sse\")\n    tools_info.extend(await get_tool_from_remote_mcp_server(\n        mcp_server_name=\"nexent\",\n        remote_mcp_server=default_mcp_url,\n        tenant_id=None\n    ))\n    return tools_info\n\n\ndef search_tool_info_impl(agent_id: int, tool_id: int, tenant_id: str):\n    \"\"\"\n    Search for tool configuration information by agent ID and tool ID\n\n    Args:\n        agent_id: Agent ID\n        tool_id: Tool ID\n        tenant_id: Tenant ID\n\n    Returns:\n        Dictionary containing tool parameters and enabled status\n\n    Raises:\n        ValueError: If database query fails\n    \"\"\"\n    tool_instance = query_tool_instances_by_id(\n        agent_id, tool_id, tenant_id)\n\n    if tool_instance:\n        return {\n            \"params\": tool_instance[\"params\"],\n            \"enabled\": tool_instance[\"enabled\"]\n        }\n    else:\n        return {\n            \"params\": None,\n            \"enabled\": False\n        }\n\n\ndef update_tool_info_impl(tool_info: ToolInstanceInfoRequest, tenant_id: str, user_id: str):\n    \"\"\"\n    Update tool configuration information\n\n    Args:\n        tool_info: ToolInstanceInfoRequest containing tool configuration data\n        tenant_id: Tenant ID\n        user_id: User ID\n\n    Returns:\n        Dictionary containing the updated tool instance\n\n    Raises:\n        ValueError: If database update fails\n    \"\"\"\n    # Use version_no from request if provided, otherwise default to 0\n    version_no = getattr(tool_info, 'version_no', 0)\n    tool_instance = create_or_update_tool_by_tool_info(\n        tool_info, tenant_id, user_id, version_no=version_no)\n    return {\n        \"tool_instance\": tool_instance\n    }\n\n\nasync def get_tool_from_remote_mcp_server(\n    mcp_server_name: str,\n    remote_mcp_server: str,\n    tenant_id: Optional[str] = None,\n    authorization_token: Optional[str] = None\n):\n    \"\"\"\n    Get the tool information from the remote MCP server, avoid blocking the event loop\n\n    Args:\n        mcp_server_name: Name of the MCP server\n        remote_mcp_server: URL of the MCP server\n        tenant_id: Optional tenant ID for database lookup of authorization_token\n        authorization_token: Optional authorization token for authentication (if not provided and tenant_id is given, will be fetched from database)\n    \"\"\"\n    # Get authorization token from database if not provided\n    if authorization_token is None and tenant_id:\n        authorization_token = get_mcp_authorization_token_by_name_and_url(\n            mcp_name=mcp_server_name,\n            mcp_server=remote_mcp_server,\n            tenant_id=tenant_id\n        )\n\n    tools_info = []\n\n    try:\n        transport = _create_mcp_transport(remote_mcp_server, authorization_token)\n        client = Client(transport=transport, timeout=10)\n        async with client:\n            # List available operations\n            tools = await client.list_tools()\n\n            for tool in tools:\n                input_schema = {\n                    k: v\n                    for k, v in jsonref.replace_refs(tool.inputSchema).items()\n                    if k != \"$defs\"\n                }\n                # make sure mandatory `description` and `type` is provided for each argument:\n                for k, v in input_schema[\"properties\"].items():\n                    if \"description\" not in v:\n                        input_schema[\"properties\"][k][\"description\"] = \"see tool description\"\n                    if \"type\" not in v:\n                        input_schema[\"properties\"][k][\"type\"] = \"string\"\n\n                sanitized_tool_name = _sanitize_function_name(tool.name)\n                tool_info = ToolInfo(name=sanitized_tool_name,\n                                     description=tool.description,\n                                     params=[],\n                                     source=ToolSourceEnum.MCP.value,\n                                     inputs=str(input_schema[\"properties\"]),\n                                     output_type=\"string\",\n                                     class_name=sanitized_tool_name,\n                                     usage=mcp_server_name,\n                                     origin_name=tool.name,\n                                     category=None)\n                tools_info.append(tool_info)\n            return tools_info\n    except BaseException as e:\n        logger.error(\n            f\"failed to get tool from remote MCP server, detail: {e}\", exc_info=True)\n        # Convert all failures (including SystemExit) to domain error to avoid process exit\n        raise MCPConnectionError(\n            f\"failed to get tool from remote MCP server, detail: {e}\")\n\n\nasync def init_tool_list_for_tenant(tenant_id: str, user_id: str):\n    \"\"\"\n    Initialize tool list for a new tenant.\n    This function scans and populates available tools from local, MCP, and LangChain sources.\n\n    Args:\n        tenant_id: Tenant ID for MCP tools (required for MCP tools)\n        user_id: User ID for tracking who initiated the scan\n\n    Returns:\n        Dictionary containing initialization result with tool count\n    \"\"\"\n    # Check if tools have already been initialized for this tenant\n    if check_tool_list_initialized(tenant_id):\n        logger.info(f\"Tool list already initialized for tenant {tenant_id}, skipping\")\n        return {\"status\": \"already_initialized\", \"message\": \"Tool list already exists\"}\n\n    logger.info(f\"Initializing tool list for new tenant: {tenant_id}\")\n    await update_tool_list(tenant_id=tenant_id, user_id=user_id)\n    return {\"status\": \"success\", \"message\": \"Tool list initialized successfully\"}\n\n\nasync def update_tool_list(tenant_id: str, user_id: str):\n    \"\"\"\n        Scan and gather all available tools from both local and MCP sources\n\n        Args:\n            tenant_id: Tenant ID for MCP tools (required for MCP tools)\n            user_id: User ID for MCP tools (required for MCP tools)\n\n        Returns:\n            List of ToolInfo objects containing tool metadata\n        \"\"\"\n    local_tools = get_local_tools()\n    # Discover LangChain tools (decorated functions) and include them in the\n    langchain_tools = get_langchain_tools()\n\n    try:\n        mcp_tools = await get_all_mcp_tools(tenant_id)\n    except Exception as e:\n        logger.error(f\"failed to get all mcp tools, detail: {e}\")\n        raise MCPConnectionError(f\"failed to get all mcp tools, detail: {e}\")\n\n    update_tool_table_from_scan_tool_list(tenant_id=tenant_id,\n                                          user_id=user_id,\n                                          tool_list=local_tools+mcp_tools+langchain_tools)\n\n\nasync def list_all_tools(tenant_id: str):\n    \"\"\"\n    List all tools for a given tenant\n    \"\"\"\n    tools_info = query_all_tools(tenant_id)\n    # only return the fields needed\n    formatted_tools = []\n    for tool in tools_info:\n        formatted_tool = {\n            \"tool_id\": tool.get(\"tool_id\"),\n            \"name\": tool.get(\"name\"),\n            \"origin_name\": tool.get(\"origin_name\"),\n            \"description\": tool.get(\"description\"),\n            \"source\": tool.get(\"source\"),\n            \"is_available\": tool.get(\"is_available\"),\n            \"create_time\": tool.get(\"create_time\"),\n            \"usage\": tool.get(\"usage\"),\n            \"params\": tool.get(\"params\", []),\n            \"inputs\": tool.get(\"inputs\", {}),\n            \"category\": tool.get(\"category\")\n        }\n        formatted_tools.append(formatted_tool)\n\n    return formatted_tools\n\n\ndef load_last_tool_config_impl(tool_id: int, tenant_id: str, user_id: str):\n    \"\"\"\n    Load the last tool configuration for a given tool ID\n    \"\"\"\n    tool_instance = search_last_tool_instance_by_tool_id(\n        tool_id, tenant_id, user_id)\n    if tool_instance is None:\n        raise ValueError(\n            f\"Tool configuration not found for tool ID: {tool_id}\")\n    return tool_instance.get(\"params\", {})\n\n\nasync def _call_mcp_tool(\n    mcp_url: str,\n    tool_name: str,\n    inputs: Optional[Dict[str, Any]],\n    authorization_token: Optional[str] = None\n) -> Dict[str, Any]:\n    \"\"\"\n    Common method to call MCP tool with connection handling.\n\n    Args:\n        mcp_url: MCP server URL\n        tool_name: Name of the tool to call\n        inputs: Parameters to pass to the tool\n        authorization_token: Optional authorization token for authentication\n\n    Returns:\n        Dict containing tool execution result\n\n    Raises:\n        MCPConnectionError: If MCP connection fails\n    \"\"\"\n    transport = _create_mcp_transport(mcp_url, authorization_token)\n    client = Client(transport=transport)\n    async with client:\n        # Check if connected\n        if not client.is_connected():\n            logger.error(\"Failed to connect to MCP server\")\n            raise MCPConnectionError(\"Failed to connect to MCP server\")\n\n        # Call the tool\n        result = await client.call_tool(\n            name=tool_name,\n            arguments=inputs\n        )\n        return result.content[0].text\n\n\nasync def _validate_mcp_tool_nexent(\n    tool_name: str,\n    inputs: Optional[Dict[str, Any]]\n) -> Dict[str, Any]:\n    \"\"\"\n    Validate MCP tool using local nexent server.\n\n    Args:\n        tool_name: Name of the tool to test\n        inputs: Parameters to pass to the tool\n\n    Returns:\n        Dict containing validation result\n\n    Raises:\n        MCPConnectionError: If MCP connection fails\n    \"\"\"\n    actual_mcp_url = urljoin(LOCAL_MCP_SERVER, \"sse\")\n    return await _call_mcp_tool(actual_mcp_url, tool_name, inputs)\n\n\nasync def _validate_mcp_tool_remote(\n    tool_name: str,\n    inputs: Optional[Dict[str, Any]],\n    usage: str,\n    tenant_id: Optional[str]\n) -> Dict[str, Any]:\n    \"\"\"\n    Validate MCP tool using remote server from database.\n\n    Args:\n        tool_name: Name of the tool to test\n        inputs: Parameters to pass to the tool\n        usage: MCP name for database lookup\n        tenant_id: Tenant ID for database queries\n\n    Returns:\n        Dict containing validation result\n\n    Raises:\n        NotFoundException: If MCP server not found\n        MCPConnectionError: If MCP connection fails\n    \"\"\"\n    # Query mcp_record_t table to get mcp_server by mcp_name\n    actual_mcp_url = get_mcp_server_by_name_and_tenant(usage, tenant_id)\n    if not actual_mcp_url:\n        raise NotFoundException(f\"MCP server not found for name: {usage}\")\n\n    # Get authorization token from database\n    authorization_token = None\n    if tenant_id:\n        authorization_token = get_mcp_authorization_token_by_name_and_url(\n            mcp_name=usage,\n            mcp_server=actual_mcp_url,\n            tenant_id=tenant_id\n        )\n\n    return await _call_mcp_tool(actual_mcp_url, tool_name, inputs, authorization_token)\n\n\ndef _get_tool_class_by_name(tool_name: str) -> Optional[type]:\n    \"\"\"\n    Get tool class by tool name from nexent.core.tools package.\n\n    Args:\n        tool_name: Name of the tool to find\n\n    Returns:\n        Tool class if found, None otherwise\n    \"\"\"\n    try:\n        tools_package = importlib.import_module('nexent.core.tools')\n        for name in dir(tools_package):\n            obj = getattr(tools_package, name)\n            if inspect.isclass(obj) and hasattr(obj, 'name') and obj.name == tool_name:\n                return obj\n        return None\n    except Exception as e:\n        logger.error(f\"Failed to get tool class for {tool_name}: {e}\")\n        return None\n\n\ndef _validate_local_tool(\n    tool_name: str,\n    inputs: Optional[Dict[str, Any]] = None,\n    params: Optional[Dict[str, Any]] = None,\n    tenant_id: Optional[str] = None,\n    user_id: Optional[str] = None\n) -> Dict[str, Any]:\n    \"\"\"\n    Validate local tool by actually instantiating and calling it.\n\n    Args:\n        tool_name: Name of the tool to test\n        inputs: Parameters to pass to the tool's forward method\n        params: Configuration parameters for tool initialization\n        tenant_id: Tenant ID for knowledge base tools (optional)\n        user_id: User ID for knowledge base tools (optional)\n\n    Returns:\n        Dict[str, Any]: The actual result returned by the tool's forward method,\n                       serving as proof that the tool works correctly\n\n    Raises:\n        NotFoundException: If tool class not found\n        ToolExecutionException: If tool execution fails\n    \"\"\"\n    try:\n        # Get tool class by name\n        tool_class = _get_tool_class_by_name(tool_name)\n        if not tool_class:\n            raise NotFoundException(f\"Tool class not found for {tool_name}\")\n\n        # Parse instantiation parameters first\n        instantiation_params = params or {}\n        # Get signature and extract default values for all parameters\n        sig = inspect.signature(tool_class.__init__)\n\n        # Extract default values for all parameters not provided in instantiation_params\n        for param_name, param in sig.parameters.items():\n            if param_name == \"self\":\n                continue\n\n            # If parameter not provided, extract default value\n            if param_name not in instantiation_params:\n                if param.default is PydanticUndefined:\n                    continue\n                elif hasattr(param.default, 'default'):\n                    # This is a Field object, extract its default value\n                    if param.default.default is not PydanticUndefined:\n                        instantiation_params[param_name] = param.default.default\n                else:\n                    instantiation_params[param_name] = param.default\n\n        if tool_name == \"knowledge_base_search\":\n            embedding_model = get_embedding_model(tenant_id=tenant_id)\n            vdb_core = get_vector_db_core()\n            params = {\n                **instantiation_params,\n                'vdb_core': vdb_core,\n                'embedding_model': embedding_model,\n            }\n            tool_instance = tool_class(**params)\n        elif tool_name == \"analyze_image\":\n            if not tenant_id or not user_id:\n                raise ToolExecutionException(\n                    f\"Tenant ID and User ID are required for {tool_name} validation\")\n            image_to_text_model = get_vlm_model(tenant_id=tenant_id)\n            params = {\n                **instantiation_params,\n                'vlm_model': image_to_text_model,\n                'storage_client': minio_client\n            }\n            tool_instance = tool_class(**params)\n        elif tool_name == \"analyze_text_file\":\n            if not tenant_id or not user_id:\n                raise ToolExecutionException(\n                    f\"Tenant ID and User ID are required for {tool_name} validation\")\n            long_text_to_text_model = get_llm_model(tenant_id=tenant_id)\n            params = {\n                **instantiation_params,\n                'llm_model': long_text_to_text_model,\n                'storage_client': minio_client,\n                \"data_process_service_url\": DATA_PROCESS_SERVICE\n            }\n            tool_instance = tool_class(**params)\n        else:\n            tool_instance = tool_class(**instantiation_params)\n\n        result = tool_instance.forward(**(inputs or {}))\n        return result\n    except Exception as e:\n        logger.error(f\"Local tool validation failed for {tool_name}: {e}\")\n        raise ToolExecutionException(\n            f\"Local tool {tool_name} validation failed: {str(e)}\")\n\n\ndef _validate_langchain_tool(\n    tool_name: str,\n    inputs: Optional[Dict[str, Any]] = None\n) -> Dict[str, Any]:\n    \"\"\"\n    Validate LangChain tool by actually executing it.\n\n    Args:\n        tool_name: Name of the tool to test\n        inputs: Parameters to pass to the tool for execution test\n\n    Returns:\n        Dict containing validation result - success returns result\n\n    Raises:\n        NotFoundException: If tool not found in LangChain tools\n        ToolExecutionException: If tool execution fails\n    \"\"\"\n    try:\n        from utils.langchain_utils import discover_langchain_modules\n\n        # Discover all LangChain tools\n        discovered_tools = discover_langchain_modules()\n\n        # Find the target tool by name\n        target_tool = None\n        for obj, filename in discovered_tools:\n            if hasattr(obj, 'name') and obj.name == tool_name:\n                target_tool = obj\n                break\n\n        if not target_tool:\n            raise NotFoundException(\n                f\"Tool '{tool_name}' not found in LangChain tools\")\n\n        # Execute the tool directly\n        result = target_tool.invoke(inputs or {})\n        return result\n    except Exception as e:\n        logger.error(f\"LangChain tool '{tool_name}' validation failed: {e}\")\n        raise ToolExecutionException(\n            f\"LangChain tool '{tool_name}' validation failed: {e}\")\n\n\nasync def validate_tool_impl(\n    request: ToolValidateRequest,\n    tenant_id: Optional[str] = None,\n    user_id: Optional[str] = None\n) -> Dict[str, Any]:\n    \"\"\"\n    Validate a tool from various sources (MCP, local, or LangChain).\n\n    Args:\n        request: Tool validation request containing tool details\n        tenant_id: Tenant ID for database queries (optional)\n        user_id: User ID for database queries (optional)\n\n    Returns:\n        Dict containing validation result - success returns tool result, failure returns error message\n\n    Raises:\n        NotFoundException: If tool is not found\n        MCPConnectionError: If MCP connection fails\n        ToolExecutionException: If tool execution fails\n        Exception: If unsupported tool source is provided\n    \"\"\"\n    try:\n        tool_name, inputs, source, usage, params = (\n            request.name, request.inputs, request.source, request.usage, request.params)\n        if source == ToolSourceEnum.MCP.value:\n            if usage == \"nexent\":\n                return await _validate_mcp_tool_nexent(tool_name, inputs)\n            else:\n                return await _validate_mcp_tool_remote(tool_name, inputs, usage, tenant_id)\n        elif source == ToolSourceEnum.LOCAL.value:\n            return _validate_local_tool(tool_name, inputs, params, tenant_id, user_id)\n        elif source == ToolSourceEnum.LANGCHAIN.value:\n            return _validate_langchain_tool(tool_name, inputs)\n        else:\n            raise Exception(f\"Unsupported tool source: {source}\")\n\n    except NotFoundException as e:\n        logger.error(f\"Tool not found: {e}\")\n        raise NotFoundException(str(e))\n    except MCPConnectionError as e:\n        logger.error(f\"MCP connection failed: {e}\")\n        raise MCPConnectionError(str(e))\n    except Exception as e:\n        logger.error(f\"Validate Tool failed: {e}\")\n        raise ToolExecutionException(str(e))\n"
  },
  {
    "path": "backend/services/user_management_service.py",
    "content": "import logging\nfrom typing import Optional, Any, Tuple, Dict, List\n\nfrom database.token_db import (\n    create_token as create_token_record,\n    generate_access_key,\n    list_tokens_by_user as list_tokens_by_user_record,\n    delete_token as delete_token_record,\n)\n\nimport aiohttp\nfrom fastapi import Header\nfrom supabase import Client\nfrom pydantic import EmailStr\n\nfrom utils.auth_utils import (\n    get_supabase_client,\n    calculate_expires_at,\n    get_jwt_expiry_seconds,\n)\nfrom consts.const import INVITE_CODE, SUPABASE_URL, SUPABASE_KEY, DEFAULT_TENANT_ID\nfrom consts.exceptions import NoInviteCodeException, IncorrectInviteCodeException, UserRegistrationException, UnauthorizedError\n\nfrom database.model_management_db import create_model_record\nfrom database.user_tenant_db import insert_user_tenant, get_user_tenant_by_user_id\nfrom database.group_db import query_group_ids_by_user\nfrom database.client import as_dict, get_db_session\nfrom database.db_models import RolePermission\nfrom services.invitation_service import use_invitation_code, check_invitation_available, get_invitation_by_code\nfrom services.group_service import add_user_to_groups\nfrom services.tool_configuration_service import init_tool_list_for_tenant\n\n\n\nlogging.getLogger(\"user_management_service\").setLevel(logging.DEBUG)\n\n\ndef set_auth_token_to_client(client: Client, token: str) -> None:\n    \"\"\"Set token to client\"\"\"\n    jwt_token = token.replace(\n        \"Bearer \", \"\") if token.startswith(\"Bearer \") else token\n\n    try:\n        # Only set access_token\n        client.auth.access_token = jwt_token\n    except Exception as e:\n        logging.error(f\"Set access token failed: {str(e)}\")\n\n\ndef get_authorized_client(authorization: Optional[str] = Header(None)) -> Client:\n    \"\"\"Get token from authorization header and create authorized supabase client\"\"\"\n    client = get_supabase_client()\n    if authorization:\n        token = authorization.replace(\"Bearer \", \"\") if authorization.startswith(\n            \"Bearer \") else authorization\n        set_auth_token_to_client(client, token)\n    return client\n\n\ndef get_current_user_from_client(client: Client, token: Optional[str] = None) -> Optional[Any]:\n    \"\"\"Get current user from client using provided JWT, return user object or None\"\"\"\n    try:\n        # Prefer explicitly passing the JWT to avoid relying on client-side session state\n        if token:\n            jwt_token = token.replace(\n                \"Bearer \", \"\") if token.startswith(\"Bearer \") else token\n            user_response = client.auth.get_user(jwt_token)\n        else:\n            user_response = client.auth.get_user()\n\n        if user_response and getattr(user_response, \"user\", None):\n            return user_response.user\n        return None\n    except Exception as e:\n        logging.error(f\"Get current user failed: {str(e)}\")\n        return None\n\n\ndef validate_token(token: str) -> Tuple[bool, Optional[Any]]:\n    \"\"\"Validate token function, return (is valid, user object)\"\"\"\n    client = get_supabase_client()\n    set_auth_token_to_client(client, token)\n    try:\n        user = get_current_user_from_client(client, token)\n        if user:\n            return True, user\n        return False, None\n    except Exception as e:\n        logging.error(f\"Token validation failed: {str(e)}\")\n        return False, None\n\n\ndef extend_session(client: Client, refresh_token: str) -> Optional[dict]:\n    \"\"\"Try to extend session validity, return new session information or None\"\"\"\n    try:\n        response = client.auth.refresh_session(refresh_token)\n        if response and response.session:\n            return {\n                \"access_token\": response.session.access_token,\n                \"refresh_token\": response.session.refresh_token,\n                \"expires_at\": calculate_expires_at(response.session.access_token),\n                \"expires_in_seconds\": get_jwt_expiry_seconds(response.session.access_token)\n            }\n        return None\n    except Exception as e:\n        logging.error(f\"Extend session failed: {str(e)}\")\n        return None\n\n\nasync def check_auth_service_health():\n    \"\"\"\n    Check the health status of the authentication service\n    Return (is available, status message)\n    \"\"\"\n    health_url = f'{SUPABASE_URL}/auth/v1/health'\n    headers = {'apikey': SUPABASE_KEY}\n\n    async with aiohttp.ClientSession() as session:\n        async with session.get(health_url, headers=headers) as response:\n            if not response.ok:\n                raise ConnectionError(\"Auth service is unavailable\")\n\n            data = await response.json()\n            # Check if the service is available by verifying the name field equals \"GoTrue\"\n            if not data or data.get(\"name\", \"\") != \"GoTrue\":\n                logging.error(\"Auth service is unavailable\")\n                raise ConnectionError(\"Auth service is unavailable\")\n\n\nasync def signup_user_with_invitation(email: EmailStr,\n                                      password: str,\n                                      invite_code: Optional[str] = None,\n                                      auto_login: Optional[bool] = True):\n    \"\"\"User registration with invitation code support\"\"\"\n    client = get_supabase_client()\n    logging.info(\n        f\"Receive registration request: email={email}, invite_code={'provided' if invite_code else 'not provided'}, auto_login={auto_login}\")\n\n    # Default user role is USER\n    user_role = \"USER\"\n    invitation_info = None\n\n    # Validate invitation code if provided (without using it yet)\n    if invite_code:\n        try:\n            # Convert invite code to upper case for consistency\n            invite_code = invite_code.upper()\n\n            # Check if invitation is available\n            if not check_invitation_available(invite_code):\n                raise IncorrectInviteCodeException(\n                    f\"Invitation code {invite_code} is not available\")\n\n            # Get invitation code details\n            invitation_info = get_invitation_by_code(invite_code)\n            if not invitation_info:\n                raise IncorrectInviteCodeException(\n                    f\"Invitation code {invite_code} not found\")\n\n            # Determine user role based on invitation code type\n            code_type = invitation_info[\"code_type\"]\n            if code_type == \"ADMIN_INVITE\":\n                user_role = \"ADMIN\"\n            elif code_type == \"DEV_INVITE\":\n                user_role = \"DEV\"\n\n            logging.info(\n                f\"Invitation code {invite_code} validated successfully, will assign role: {user_role}\")\n\n        except IncorrectInviteCodeException:\n            raise\n        except Exception as e:\n            logging.error(\n                f\"Invitation code {invite_code} validation failed: {str(e)}\")\n            raise IncorrectInviteCodeException(\n                f\"Invalid invitation code: {str(e)}\")\n\n    # Set user metadata, including role information\n    response = client.auth.sign_up({\n        \"email\": email,\n        \"password\": password\n    })\n\n    if response.user:\n        user_id = response.user.id\n\n        # Determine tenant_id based on invitation code\n        if invitation_info:\n            tenant_id = invitation_info[\"tenant_id\"]\n        else:\n            tenant_id = DEFAULT_TENANT_ID\n\n        # Create user tenant relationship\n        logging.debug(f\"Creating user tenant relationship: user_id={user_id}, tenant_id={tenant_id}, user_role={user_role}\")\n        insert_user_tenant(\n            user_id=user_id, tenant_id=tenant_id, user_role=user_role, user_email=email)\n        logging.debug(f\"User tenant relationship created successfully for user {user_id}\")\n\n        # Use invitation code now that we have the real user_id\n        if invitation_info:\n            try:\n                invitation_result = use_invitation_code(invite_code, user_id)\n                logging.debug(\n                    f\"Invitation code {invite_code} used successfully for user {user_id}\")\n\n                # Add user to groups specified in invitation code\n                group_ids = invitation_result.get(\"group_ids\", [])\n                if group_ids:\n                    try:\n                        # Convert group_ids from string to list if needed\n                        if isinstance(group_ids, str):\n                            from utils.str_utils import convert_string_to_list\n                            group_ids = convert_string_to_list(group_ids)\n\n                        if group_ids:\n                            group_results = add_user_to_groups(user_id, group_ids, user_id)\n                            successful_adds = [\n                                r for r in group_results if not r.get(\"error\")]\n                            logging.info(\n                                f\"User {user_id} added to {len(successful_adds)} groups from invitation code\")\n\n                    except Exception as e:\n                        logging.error(\n                            f\"Failed to add user {user_id} to invitation groups: {str(e)}\")\n\n            except Exception as e:\n                # If using invitation code fails after registration, log error but don't fail registration\n                logging.error(\n                    f\"Failed to use invitation code {invite_code} for user {user_id}: {str(e)}\")\n\n        logging.info(\n            f\"User {email} registered successfully, role: {user_role}, tenant: {tenant_id}, auto_login={auto_login}\")\n\n        if user_role == \"ADMIN\":\n            await generate_tts_stt_4_admin(tenant_id, user_id)\n\n        # Initialize tool list for the new tenant (only once per tenant)\n        await init_tool_list_for_tenant(tenant_id, user_id)\n\n        return await parse_supabase_response(False, response, user_role, auto_login)\n    else:\n        logging.error(\n            \"Supabase registration request returned no user object\")\n        raise UserRegistrationException(\n            \"Registration service is temporarily unavailable, please try again later\")\n\n\nasync def parse_supabase_response(is_admin, response, user_role, auto_login: bool = True):\n    \"\"\"Parse Supabase response and build standardized user registration response\"\"\"\n    user_data = {\n        \"id\": response.user.id,\n        \"email\": response.user.email,\n        \"role\": user_role\n    }\n\n    session_data = None\n    if response.session and auto_login:\n        session_data = {\n            \"access_token\": response.session.access_token,\n            \"refresh_token\": response.session.refresh_token,\n            \"expires_at\": calculate_expires_at(response.session.access_token),\n            \"expires_in_seconds\": get_jwt_expiry_seconds(response.session.access_token)\n        }\n\n    return {\n        \"user\": user_data,\n        \"session\": session_data,\n        \"registration_type\": \"admin\" if is_admin else \"user\"\n    }\n\n\nasync def generate_tts_stt_4_admin(tenant_id, user_id):\n    tts_model_data = {\n        \"model_repo\": \"\",\n        \"model_name\": \"volcano_tts\",\n        \"model_factory\": \"OpenAI-API-Compatible\",\n        \"model_type\": \"tts\",\n        \"api_key\": \"\",\n        \"base_url\": \"\",\n        \"max_tokens\": 0,\n        \"used_token\": 0,\n        \"display_name\": \"volcano_tts\",\n        \"connect_status\": \"unavailable\",\n        \"delete_flag\": \"N\"\n    }\n    stt_model_data = {\n        \"model_repo\": \"\",\n        \"model_name\": \"volcano_stt\",\n        \"model_factory\": \"OpenAI-API-Compatible\",\n        \"model_type\": \"stt\",\n        \"api_key\": \"\",\n        \"base_url\": \"\",\n        \"max_tokens\": 0,\n        \"used_token\": 0,\n        \"display_name\": \"volcano_stt\",\n        \"connect_status\": \"unavailable\",\n        \"delete_flag\": \"N\"\n    }\n    create_model_record(tts_model_data, user_id, tenant_id)\n    create_model_record(stt_model_data, user_id, tenant_id)\n\n\nasync def verify_invite_code(invite_code):\n    logging.info(\n        \"detect admin registration request, start verifying invite code\")\n    logging.info(f\"The INVITE_CODE obtained from consts.const: {INVITE_CODE}\")\n    if not INVITE_CODE:\n        logging.error(\"please check the INVITE_CODE environment variable\")\n        raise NoInviteCodeException(\n            \"The system has not configured the admin invite code, please contact technical support\")\n    logging.info(f\"User provided invite code: {invite_code}\")\n    if not invite_code:\n        logging.warning(\"User did not provide invite code\")\n        raise IncorrectInviteCodeException(\"Please enter the invite code\")\n    if invite_code != INVITE_CODE:\n        logging.warning(\n            f\"Admin invite code verification failed: user provided='{invite_code}', system configured='{INVITE_CODE}'\")\n        raise IncorrectInviteCodeException(\n            \"Please enter the correct admin invite code\")\n    logging.info(\"Admin invite code verification successful\")\n\n\nasync def signin_user(email: EmailStr,\n                      password: str):\n    \"\"\"User login\"\"\"\n    client = get_supabase_client()\n\n    response = client.auth.sign_in_with_password({\n        \"email\": email,\n        \"password\": password\n    })\n\n    # Get actual expiration time from access_token\n    expiry_seconds = get_jwt_expiry_seconds(response.session.access_token)\n    expires_at = calculate_expires_at(response.session.access_token)\n\n    # Get role information from user metadata\n    user_role = \"user\"  # Default role\n    if 'role' in response.user.user_metadata:  # Adapt to historical user data\n        user_role = response.user.user_metadata['role']\n\n    logging.info(\n        f\"User {email} logged in successfully, session validity is {expiry_seconds} seconds, role: {user_role}\")\n\n    return {\n        \"message\": f\"Login successful, session validity is {expiry_seconds} seconds\",\n        \"data\": {\n            \"user\": {\n                \"id\": response.user.id,\n                \"email\": response.user.email,\n                \"role\": user_role\n            },\n            \"session\": {\n                \"access_token\": response.session.access_token,\n                \"refresh_token\": response.session.refresh_token,\n                \"expires_at\": expires_at,\n                \"expires_in_seconds\": expiry_seconds\n            }\n        }\n    }\n\n\nasync def refresh_user_token(authorization, refresh_token: str):\n    client = get_authorized_client(authorization)\n    session_info = extend_session(client, refresh_token)\n    if not session_info:\n        logging.error(\"Refresh token failed, the token may have expired\")\n        raise ValueError(\"Refresh token failed, the token may have expired\")\n\n    logging.info(\n        f\"Token refresh successful: session validity is {session_info['expires_in_seconds']} seconds\")\n    return session_info\n\n\nasync def get_session_by_authorization(authorization):\n    # Extract clean token from authorization header\n    clean_token = authorization.replace(\"Bearer \", \"\") if authorization.startswith(\"Bearer \") else authorization\n\n    # Use the unified token validation function\n    is_valid, user = validate_token(clean_token)\n    if is_valid and user:\n        user_role = \"user\"  # Default role\n        if user.user_metadata and 'role' in user.user_metadata:\n            user_role = user.user_metadata['role']\n        return {\n            \"user\": {\n                \"id\": user.id,\n                \"email\": user.email,\n                \"role\": user_role\n            }\n        }\n    else:\n        # Use domain-specific exception for invalid/expired token\n        raise UnauthorizedError(\"Session is invalid or expired\")\n\n\nasync def get_user_info(user_id: str) -> Optional[Dict[str, Any]]:\n    \"\"\"\n    Get user information including user ID, group IDs, tenant ID, user role, permissions, and accessible routes.\n    All information is retrieved from PostgreSQL database.\n\n    Args:\n        user_id (str): User ID to query\n\n    Returns:\n        Optional[Dict[str, Any]]: User information dictionary containing:\n            - user: User object with user_id, group_ids, tenant_id, user_email, user_role, permissions, accessibleRoutes\n        Returns None if user not found\n    \"\"\"\n    try:\n        # Get user tenant relationship\n        user_tenant = get_user_tenant_by_user_id(user_id)\n        if not user_tenant:\n            return None\n\n        tenant_id = user_tenant[\"tenant_id\"]\n        user_role = user_tenant[\"user_role\"]\n        user_email = user_tenant[\"user_email\"]\n\n        # Get group IDs\n        group_ids = query_group_ids_by_user(user_id)\n\n        # Get user permissions directly from database\n        with get_db_session() as session:\n            permission_records = session.query(RolePermission).filter(\n                RolePermission.user_role == user_role\n            ).all()\n            permissions = [as_dict(record) for record in permission_records]\n\n        permissions_data = format_role_permissions(permissions)\n\n        return {\n            \"user\": {\n                \"user_id\": user_id,\n                \"group_ids\": group_ids,\n                \"tenant_id\": tenant_id,\n                \"user_email\": user_email,\n                \"user_role\": user_role,\n                \"permissions\": permissions_data[\"permissions\"],\n                \"accessibleRoutes\": permissions_data[\"accessibleRoutes\"]\n            }\n        }\n\n    except Exception as e:\n        logging.error(\n            f\"Failed to get user info for user {user_id}: {str(e)}\")\n        return None\n\n\ndef format_role_permissions(permissions: List[Dict[str, Any]]) -> Dict[str, List[str]]:\n    \"\"\"\n    Format role permissions into permissions and accessibleRoutes lists.\n\n    - permissions: List of permission strings (permission_type:permission_subtype for RESOURCE category)\n    - accessibleRoutes: List of accessible route subtypes (permission_subtype for LEFT_NAV_MENU permission_type)\n\n    Args:\n        permissions (List[Dict[str, Any]]): Raw permission records from database\n\n    Returns:\n        Dict[str, List[str]]: Dictionary containing permissions and accessibleRoutes lists\n    \"\"\"\n    formatted_permissions = []\n    accessible_routes = []\n\n    for perm in permissions:\n        permission_category = perm.get(\"permission_category\", \"\")\n        permission_type = perm.get(\"permission_type\", \"\")\n        permission_subtype = perm.get(\"permission_subtype\", \"\")\n\n        if permission_category == \"RESOURCE\" and permission_type and permission_subtype:\n            # Format as \"permission_type:permission_subtype\"\n            formatted_permissions.append(\n                f\"{permission_type}:{permission_subtype}\")\n        elif permission_type == \"LEFT_NAV_MENU\" and permission_subtype:\n            # Add permission_subtype to accessible routes for LEFT_NAV_MENU type\n            accessible_routes.append(permission_subtype)\n\n    return {\n        \"permissions\": formatted_permissions,\n        \"accessibleRoutes\": accessible_routes\n    }\n\n\n# -----------------------------\n# Token Management\n# -----------------------------\n\ndef create_token(user_id: str) -> Dict[str, Any]:\n    \"\"\"Create a new API token for the specified user.\n\n    Args:\n        user_id: The user ID who owns this token.\n\n    Returns:\n        Dictionary containing the API token information including token_id.\n    \"\"\"\n    access_key = generate_access_key()\n    return create_token_record(access_key, user_id)\n\n\ndef list_tokens_by_user(user_id: str) -> List[Dict[str, Any]]:\n    \"\"\"List all tokens for the specified user.\n\n    Args:\n        user_id: The user ID to query token pairs for.\n\n    Returns:\n        List of token information with masked access keys.\n    \"\"\"\n    return list_tokens_by_user_record(user_id)\n\n\ndef delete_token(token_id: int, user_id: str) -> bool:\n    \"\"\"Soft delete a token.\n\n    Args:\n        token_id: The token ID to delete.\n        user_id: The user ID who owns this token (for authorization).\n\n    Returns:\n        True if the token was deleted, False if not found or not owned by user.\n    \"\"\"\n    return delete_token_record(token_id, user_id)\n"
  },
  {
    "path": "backend/services/user_service.py",
    "content": "\"\"\"\nUser service layer - handles user-related business logic\n\"\"\"\nimport logging\nfrom typing import Dict, Any, List, Optional\n\nfrom database.user_tenant_db import (\n    get_users_by_tenant_id, update_user_tenant_role, get_user_tenant_by_user_id,\n    soft_delete_user_tenant_by_user_id\n)\nfrom database.group_db import remove_user_from_all_groups\nfrom database.memory_config_db import soft_delete_all_configs_by_user_id\nfrom database.conversation_db import soft_delete_all_conversations_by_user\nfrom utils.auth_utils import get_supabase_admin_client\nfrom utils.memory_utils import build_memory_config\n\nfrom nexent.memory.memory_service import clear_memory\n\nlogger = logging.getLogger(__name__)\n\n\ndef get_users(tenant_id: str, page: Optional[int] = 1, page_size: Optional[int] = 20,\n              sort_by: str = \"created_at\", sort_order: str = \"desc\") -> Dict[str, Any]:\n    \"\"\"\n    Get users belonging to a specific tenant with pagination and sorting\n\n    Args:\n        tenant_id (str): Tenant ID\n        page (Optional[int]): Page number (1-based). If None, returns all data\n        page_size (Optional[int]): Number of items per page. If None, returns all data\n        sort_by (str): Field to sort by\n        sort_order (str): Sort order (asc or desc)\n\n    Returns:\n        Dict[str, Any]: Dictionary containing users list and pagination info\n    \"\"\"\n    # Get user-tenant relationships from database with pagination and sorting\n    result = get_users_by_tenant_id(tenant_id, page, page_size, sort_by, sort_order)\n\n    # For now, return basic user information from the relationships\n    # In the future, this could be enhanced to fetch full user details from Supabase\n    users = []\n    for relationship in result[\"users\"]:\n        user_info = {\n            \"id\": relationship[\"user_id\"],\n            \"username\": relationship.get(\"user_email\"),\n            \"role\": relationship[\"user_role\"],\n            \"tenant_id\": relationship[\"tenant_id\"]\n        }\n        users.append(user_info)\n\n    # Calculate pagination info only if pagination is used\n    if page is not None and page_size is not None:\n        return {\n            \"users\": users,\n            \"total\": result[\"total\"],\n            \"page\": page,\n            \"page_size\": page_size,\n            \"total_pages\": (result[\"total\"] + page_size - 1) // page_size\n        }\n    else:\n        return {\n            \"users\": users,\n            \"total\": result[\"total\"]\n        }\n\n\nasync def update_user(user_id: str, update_data: Dict[str, Any], updated_by: str) -> Dict[str, Any]:\n    \"\"\"\n    Update user information\n\n    Args:\n        user_id (str): User ID to update\n        update_data (Dict[str, Any]): Update data containing role\n        updated_by (str): ID of the user making the update\n\n    Returns:\n        Dict[str, Any]: Updated user information\n\n    Raises:\n        ValueError: When user not found or invalid data\n    \"\"\"\n    try:\n        # Validate role if provided\n        if \"role\" in update_data:\n            valid_roles = [\"ADMIN\", \"DEV\", \"USER\"]\n            if update_data[\"role\"] not in valid_roles:\n                raise ValueError(f\"Invalid role. Must be one of: {', '.join(valid_roles)}\")\n\n        # Update user role in database\n        success = update_user_tenant_role(user_id, update_data.get(\"role\"), updated_by)\n\n        if not success:\n            raise ValueError(f\"User {user_id} not found or update failed\")\n\n        # Get updated user information\n        user_tenant_data = get_user_tenant_by_user_id(user_id)\n\n        if not user_tenant_data:\n            raise ValueError(f\"User {user_id} not found after update\")\n\n        user_info = {\n            \"id\": user_tenant_data[\"user_id\"],\n            \"username\": user_tenant_data.get(\"user_email\"),\n            \"role\": user_tenant_data[\"user_role\"]\n        }\n\n        logger.info(f\"Updated user {user_id} role to {update_data.get('role')} by user {updated_by}\")\n        return user_info\n\n    except Exception as exc:\n        logger.error(f\"Failed to update user {user_id}: {str(exc)}\")\n        raise\n\n\nasync def delete_user_and_cleanup(user_id: str, tenant_id: str) -> None:\n    \"\"\"\n    Permanently delete user account and all related data.\n\n    This performs complete cleanup:\n    1) Soft-delete user-tenant relation and remove from all groups\n    2) Soft-delete memory user configs and all conversations\n    3) Clear user-level memories in memory store\n    4) Permanently delete user from Supabase\n\n    Args:\n        user_id (str): User ID to delete\n        tenant_id (str): Tenant ID for memory operations\n    \"\"\"\n    try:\n        logger.debug(f\"Start permanently deleting user {user_id} and all related data...\")\n\n        # 1) Core user deletion (soft-delete user-tenant and groups)\n        try:\n            tenant_deleted = soft_delete_user_tenant_by_user_id(user_id, user_id)\n            if not tenant_deleted:\n                raise ValueError(f\"User {user_id} not found in any tenant\")\n\n            remove_user_from_all_groups(user_id, user_id)\n            logger.debug(\"\\tUser tenant relationship and groups deleted.\")\n        except Exception as e:\n            logger.error(f\"Failed core deletion for user {user_id}: {e}\")\n\n        # 2) Soft-delete memory configs\n        try:\n            soft_delete_all_configs_by_user_id(user_id, actor=user_id)\n            logger.debug(\"\\tMemory user configs deleted.\")\n        except Exception as e:\n            logger.error(f\"Failed deleting configs for user {user_id}: {e}\")\n\n        # 3) Soft-delete conversations\n        try:\n            deleted_convs = soft_delete_all_conversations_by_user(user_id)\n            logger.debug(f\"\\t{deleted_convs} conversations deleted.\")\n        except Exception as e:\n            logger.error(f\"Failed deleting conversations for user {user_id}: {e}\")\n\n        # 4) Clear memory records\n        try:\n            memory_config = build_memory_config(tenant_id)\n            await clear_memory(\n                memory_level=\"user\",\n                memory_config=memory_config,\n                tenant_id=tenant_id,\n                user_id=user_id,\n            )\n            await clear_memory(\n                memory_level=\"user_agent\",\n                memory_config=memory_config,\n                tenant_id=tenant_id,\n                user_id=user_id,\n            )\n            logger.debug(\"\\tUser memories cleared.\")\n        except Exception as e:\n            logger.error(f\"Failed clearing memory for user {user_id}: {e}\")\n\n        # 5) Delete from Supabase\n        try:\n            admin_client = get_supabase_admin_client()\n            if admin_client and hasattr(admin_client.auth, \"admin\"):\n                admin_client.auth.admin.delete_user(user_id)\n                logger.debug(\"\\tSupabase user deleted.\")\n            else:\n                raise RuntimeError(\"Supabase admin client not available\")\n        except Exception as e:\n            logger.error(f\"Failed deleting Supabase user {user_id}: {e}\")\n\n        logger.info(f\"Permanently deleted user {user_id} and all related data.\")\n\n    except Exception as exc:\n        logger.error(f\"Unexpected error in delete_user_and_cleanup for {user_id}: {str(exc)}\")\n        raise\n"
  },
  {
    "path": "backend/services/vectordatabase_service.py",
    "content": "\"\"\"\nElasticsearch Application Interface Module\n\nThis module provides REST API interfaces for interacting with Elasticsearch, including index management, document\noperations, and search functionality.\nMain features include:\n1. Index creation, deletion, and querying\n2. Document indexing, deletion, and searching\n3. Support for multiple search methods: exact search, semantic search, and hybrid search\n4. Health check interface\n\"\"\"\nimport asyncio\nimport json\nimport logging\nimport os\nimport time\nimport uuid\nfrom datetime import datetime, timezone\nfrom typing import Any, Dict, List, Optional\n\nfrom fastapi import Body, Depends, Path, Query\nfrom fastapi.responses import StreamingResponse\nfrom nexent.core.models.embedding_model import OpenAICompatibleEmbedding, JinaEmbedding, BaseEmbedding\nfrom nexent.vector_database.base import VectorDatabaseCore\nfrom nexent.vector_database.elasticsearch_core import ElasticSearchCore\nfrom nexent.vector_database.datamate_core import DataMateCore\n\nfrom consts.const import DATAMATE_URL, ES_API_KEY, ES_HOST, LANGUAGE, VectorDatabaseType, IS_SPEED_MODE, PERMISSION_EDIT, PERMISSION_READ\nfrom consts.model import ChunkCreateRequest, ChunkUpdateRequest\nfrom database.attachment_db import delete_file\nfrom database.knowledge_db import (\n    create_knowledge_record,\n    delete_knowledge_record,\n    get_knowledge_record,\n    update_knowledge_record,\n    get_knowledge_info_by_tenant_id,\n    update_model_name_by_index_name,\n)\nfrom utils.str_utils import convert_list_to_string\nfrom database.user_tenant_db import get_user_tenant_by_user_id\nfrom database.group_db import query_group_ids_by_user\nfrom database.model_management_db import get_model_records\nfrom services.redis_service import get_redis_service\nfrom services.group_service import get_tenant_default_group_id\nfrom utils.config_utils import tenant_config_manager, get_model_name_from_config\nfrom utils.file_management_utils import get_all_files_status, get_file_size\nfrom utils.str_utils import convert_string_to_list\n\n\ndef _update_progress(task_id: str, processed: int, total: int):\n    \"\"\"Helper function to update progress in Redis\"\"\"\n    try:\n        redis_service = get_redis_service()\n\n        # If this task has been marked as cancelled, stop updating progress\n        # and raise an exception so the caller can abort long-running work.\n        if redis_service.is_task_cancelled(task_id):\n            logger.debug(\n                f\"[PROGRESS CALLBACK] Task {task_id} is marked as cancelled; \"\n                f\"stopping further indexing work at {processed}/{total}.\"\n            )\n            raise RuntimeError(\n                \"Indexing cancelled because the task was marked as cancelled.\")\n\n        success = redis_service.save_progress_info(task_id, processed, total)\n        if success:\n            percentage = processed * 100 // total if total > 0 else 0\n            logger.debug(\n                f\"[PROGRESS CALLBACK] Updated progress for task {task_id}: {processed}/{total} ({percentage}%)\")\n        else:\n            logger.warning(\n                f\"[PROGRESS CALLBACK] Failed to save progress for task {task_id}: {processed}/{total}\")\n    except Exception as e:\n        logger.warning(\n            f\"[PROGRESS CALLBACK] Exception updating progress for task {task_id}: {str(e)}\")\n\n\nALLOWED_CHUNK_FIELDS = {\n    \"id\",\n    \"title\",\n    \"filename\",\n    \"path_or_url\",\n    \"content\",\n    \"create_time\",\n    \"language\",\n    \"author\",\n    \"date\",\n}\n\n# Configure logging\nlogger = logging.getLogger(\"vectordatabase_service\")\n\n\ndef get_vector_db_core(\n    db_type: VectorDatabaseType = VectorDatabaseType.ELASTICSEARCH, tenant_id: Optional[str] = None,\n) -> VectorDatabaseCore:\n    \"\"\"\n    Return a VectorDatabaseCore implementation based on the requested type.\n\n    Args:\n        db_type: Target vector database provider. Defaults to Elasticsearch.\n        tenant_id: Tenant ID for configuration lookup (required for DataMate).\n\n    Returns:\n        VectorDatabaseCore: Concrete vector database implementation.\n\n    Raises:\n        ValueError: If the requested database type is not supported.\n    \"\"\"\n    if db_type == VectorDatabaseType.ELASTICSEARCH:\n        return ElasticSearchCore(\n            host=ES_HOST,\n            api_key=ES_API_KEY,\n            verify_certs=False,\n            ssl_show_warn=False,\n        )\n\n    if db_type == VectorDatabaseType.DATAMATE:\n        if tenant_id:\n            datamate_url = tenant_config_manager.get_app_config(\n                DATAMATE_URL, tenant_id=tenant_id)\n            if not datamate_url:\n                raise ValueError(\n                    f\"DataMate URL not configured for tenant {tenant_id}\")\n            return DataMateCore(base_url=datamate_url)\n        else:\n            raise ValueError(\"tenant_id must be provided for DataMate\")\n\n    raise ValueError(f\"Unsupported vector database type: {db_type}\")\n\n\ndef _rethrow_or_plain(exc: Exception) -> None:\n    \"\"\"\n    If the exception message is a JSON dict with error_code, re-raise that JSON as-is.\n    Otherwise, re-raise the original string (no additional nesting/context).\n    \"\"\"\n    msg = str(exc)\n    try:\n        parsed = json.loads(msg)\n    except Exception:\n        raise Exception(msg)\n\n    if isinstance(parsed, dict) and parsed.get(\"error_code\"):\n        raise Exception(json.dumps(parsed, ensure_ascii=False))\n\n    raise Exception(msg)\n\n\ndef check_knowledge_base_exist_impl(knowledge_name: str, vdb_core: VectorDatabaseCore, user_id: str, tenant_id: str, exclude_index_name: Optional[str] = None) -> dict:\n    \"\"\"\n    Check knowledge base existence and handle orphan cases\n\n    Args:\n        knowledge_name: Name of the knowledge base to check\n        vdb_core: Elasticsearch core instance\n        user_id: Current user ID\n        tenant_id: Current tenant ID\n        exclude_index_name: Optional index name to exclude from the check (used when updating an existing knowledge base)\n\n    Returns:\n        dict: Status information about the knowledge base\n    \"\"\"\n    # 1. Check if knowledge_name exists in PG for the current tenant\n    pg_record = get_knowledge_record(\n        {\"knowledge_name\": knowledge_name, \"tenant_id\": tenant_id})\n\n    # Case A: Knowledge base name already exists in the same tenant\n    if pg_record:\n        # If we're excluding a specific index and this is the one we found, consider it available\n        if exclude_index_name and pg_record.get(\"index_name\") == exclude_index_name:\n            return {\"status\": \"available\"}\n        return {\"status\": \"exists_in_tenant\"}\n\n    # Case B: Name is available in this tenant\n    return {\"status\": \"available\"}\n\n\ndef get_embedding_model(tenant_id: str, model_name: Optional[str] = None):\n    \"\"\"\n    Get the embedding model for the tenant, optionally using a specific model name.\n\n    Args:\n        tenant_id: Tenant ID\n        model_name: Optional specific model name to use (format: \"model_repo/model_name\" or just \"model_name\")\n                   If provided, will try to find the model in the tenant's model list.\n\n    Returns:\n        Embedding model instance or None\n    \"\"\"\n    # If model_name is provided, try to find it in the tenant's models\n    if model_name:\n        try:\n            models = get_model_records({\"model_type\": \"embedding\"}, tenant_id)\n            for model in models:\n                model_display_name = model.get(\"model_repo\") + \"/\" + model[\"model_name\"] if model.get(\"model_repo\") else model[\"model_name\"]\n                if model_display_name == model_name:\n                    # Found the model, create embedding instance\n                    model_config = {\n                        \"model_repo\": model.get(\"model_repo\", \"\"),\n                        \"model_name\": model[\"model_name\"],\n                        \"api_key\": model.get(\"api_key\", \"\"),\n                        \"base_url\": model.get(\"base_url\", \"\"),\n                        \"model_type\": \"embedding\",\n                        \"max_tokens\": model.get(\"max_tokens\", 1024),\n                        \"ssl_verify\": model.get(\"ssl_verify\", True),\n                    }\n                    return OpenAICompatibleEmbedding(\n                        api_key=model_config.get(\"api_key\", \"\"),\n                        base_url=model_config.get(\"base_url\", \"\"),\n                        model_name=get_model_name_from_config(model_config) or \"\",\n                        embedding_dim=model_config.get(\"max_tokens\", 1024),\n                        ssl_verify=model_config.get(\"ssl_verify\", True),\n                    )\n        except Exception as e:\n            logger.warning(f\"Failed to get embedding model by name {model_name}: {e}\")\n\n    # Fall back to default embedding model (current behavior)\n    model_config = tenant_config_manager.get_model_config(\n        key=\"EMBEDDING_ID\", tenant_id=tenant_id)\n\n    model_type = model_config.get(\"model_type\", \"\")\n\n    if model_type == \"embedding\":\n        # Get the es core\n        return OpenAICompatibleEmbedding(\n            api_key=model_config.get(\"api_key\", \"\"),\n            base_url=model_config.get(\"base_url\", \"\"),\n            model_name=get_model_name_from_config(model_config) or \"\",\n            embedding_dim=model_config.get(\"max_tokens\", 1024),\n            ssl_verify=model_config.get(\"ssl_verify\", True),\n        )\n    elif model_type == \"multi_embedding\":\n        return JinaEmbedding(\n            api_key=model_config.get(\"api_key\", \"\"),\n            base_url=model_config.get(\"base_url\", \"\"),\n            model_name=get_model_name_from_config(model_config) or \"\",\n            embedding_dim=model_config.get(\"max_tokens\", 1024),\n            ssl_verify=model_config.get(\"ssl_verify\", True),\n        )\n    else:\n        return None\n\n\nclass ElasticSearchService:\n    @staticmethod\n    async def full_delete_knowledge_base(index_name: str, vdb_core: VectorDatabaseCore, user_id: str):\n        \"\"\"\n        Completely delete a knowledge base, including its index, associated files in MinIO,\n        and all related records in Redis and PostgreSQL.\n        \"\"\"\n        logger.debug(\n            f\"Starting full deletion process for knowledge base (index): {index_name}\")\n        try:\n            # 1. Get all files associated with the index from Elasticsearch\n            logger.debug(\n                f\"Step 1/4: Retrieving file list for index: {index_name}\")\n            try:\n                file_list_result = await ElasticSearchService.list_files(index_name, include_chunks=False,\n                                                                         vdb_core=vdb_core)\n                files_to_delete = file_list_result.get(\"files\", [])\n                logger.debug(\n                    f\"Found {len(files_to_delete)} files to delete from MinIO for index '{index_name}'.\")\n            except Exception as e:\n                logger.error(\n                    f\"Failed to retrieve file list for index '{index_name}': {str(e)}\")\n                # We can still proceed to delete the index itself even if listing files fails\n                files_to_delete = []\n\n            # 2. Delete files from MinIO\n            minio_deletion_success_count = 0\n            minio_deletion_failure_count = 0\n            if files_to_delete:\n                logger.debug(\n                    f\"Step 2/4: Starting deletion of {len(files_to_delete)} files from MinIO.\")\n                for file_info in files_to_delete:\n                    object_name = file_info.get(\"path_or_url\")\n                    if not object_name:\n                        logger.warning(\n                            f\"Could not find 'path_or_url' for file entry: {file_info}. Skipping deletion.\")\n                        minio_deletion_failure_count += 1\n                        continue\n\n                    try:\n                        logger.debug(\n                            f\"Deleting object: '{object_name}' from MinIO for index '{index_name}'\")\n                        delete_result = delete_file(object_name=object_name)\n                        if delete_result.get(\"success\"):\n                            logger.debug(\n                                f\"Successfully deleted object: '{object_name}' from MinIO.\")\n                            minio_deletion_success_count += 1\n                        else:\n                            minio_deletion_failure_count += 1\n                            error_msg = delete_result.get(\n                                \"error\", \"Unknown error\")\n                            logger.error(\n                                f\"Failed to delete object: '{object_name}' from MinIO. Reason: {error_msg}\")\n                    except Exception as e:\n                        minio_deletion_failure_count += 1\n                        logger.error(\n                            f\"An exception occurred while deleting object: '{object_name}' from MinIO. Error: {str(e)}\")\n\n                logger.info(f\"MinIO file deletion summary for index '{index_name}': \"\n                            f\"{minio_deletion_success_count} succeeded, {minio_deletion_failure_count} failed.\")\n            else:\n                logger.debug(\n                    f\"Step 2/4: No files found in index '{index_name}', skipping MinIO deletion.\")\n\n            # 3. Mark all related tasks as cancelled and clean up Redis records BEFORE deleting ES index\n            # This ensures ongoing indexing tasks will detect cancellation and stop immediately\n            logger.debug(\n                f\"Step 3/5: Marking all tasks as cancelled and cleaning up Redis records for index '{index_name}'.\")\n            redis_cleanup_result = {}\n            try:\n                from services.redis_service import get_redis_service\n                redis_service = get_redis_service()\n                redis_cleanup_result = redis_service.delete_knowledgebase_records(\n                    index_name)\n                logger.debug(f\"Redis cleanup for index '{index_name}' completed. \"\n                             f\"Deleted {redis_cleanup_result['total_deleted']} records, \"\n                             f\"marked {redis_cleanup_result.get('tasks_cancelled', 0)} tasks as cancelled.\")\n            except Exception as redis_error:\n                logger.error(\n                    f\"Redis cleanup failed for index '{index_name}': {str(redis_error)}\")\n                redis_cleanup_result = {\"error\": str(redis_error)}\n\n            # 4. Delete Elasticsearch index and its DB record\n            logger.debug(\n                f\"Step 4/5: Deleting Elasticsearch index '{index_name}' and its database record.\")\n            delete_index_result = await ElasticSearchService.delete_index(index_name, vdb_core, user_id)\n\n            # Construct final result\n            result = {\n                \"status\": \"success\",\n                \"message\": (\n                    f\"Index {index_name} deleted successfully. \"\n                    f\"MinIO: {minio_deletion_success_count} files deleted, {minio_deletion_failure_count} failed. \"\n                    f\"Redis: Cleaned up {redis_cleanup_result.get('total_deleted', 0)} records.\"\n                ),\n                \"es_delete_result\": delete_index_result,\n                \"minio_cleanup\": {\n                    \"total_files_found\": len(files_to_delete),\n                    \"deleted_count\": minio_deletion_success_count,\n                    \"failed_count\": minio_deletion_failure_count\n                },\n                \"redis_cleanup\": redis_cleanup_result\n            }\n\n            if \"errors\" in redis_cleanup_result:\n                result[\"redis_warnings\"] = redis_cleanup_result[\"errors\"]\n\n            logger.info(\n                f\"Successfully completed full deletion process for knowledge base '{index_name}'.\")\n            return result\n\n        except Exception as e:\n            logger.error(\n                f\"Error during full deletion of index '{index_name}': {str(e)}\", exc_info=True)\n            raise e\n\n    @staticmethod\n    def create_index(\n            index_name: str = Path(...,\n                                   description=\"Name of the index to create\"),\n            embedding_dim: Optional[int] = Query(\n                None, description=\"Dimension of the embedding vectors\"),\n            vdb_core: VectorDatabaseCore = Depends(get_vector_db_core),\n            user_id: Optional[str] = Body(\n                None, description=\"ID of the user creating the knowledge base\"),\n            tenant_id: Optional[str] = Body(\n                None, description=\"ID of the tenant creating the knowledge base\"),\n    ):\n        try:\n            if vdb_core.check_index_exists(index_name):\n                raise Exception(f\"Index {index_name} already exists\")\n            embedding_model = get_embedding_model(tenant_id)\n            success = vdb_core.create_index(index_name, embedding_dim=embedding_dim or (\n                embedding_model.embedding_dim if embedding_model else 1024))\n            if not success:\n                raise Exception(f\"Failed to create index {index_name}\")\n            knowledge_data = {\"index_name\": index_name,\n                              \"created_by\": user_id,\n                              \"tenant_id\": tenant_id,\n                              \"embedding_model_name\": embedding_model.model}\n            create_knowledge_record(knowledge_data)\n            return {\"status\": \"success\", \"message\": f\"Index {index_name} created successfully\"}\n        except Exception as e:\n            raise Exception(f\"Error creating index: {str(e)}\")\n\n    @staticmethod\n    def create_knowledge_base(\n            knowledge_name: str,\n            embedding_dim: Optional[int],\n            vdb_core: VectorDatabaseCore,\n            user_id: Optional[str],\n            tenant_id: Optional[str],\n            ingroup_permission: Optional[str] = None,\n            group_ids: Optional[List[int]] = None,\n    ):\n        \"\"\"\n        Create a new knowledge base with a user-facing name and an internal Elasticsearch index name.\n\n        For new data:\n        - Store the user-facing name in knowledge_name column.\n        - Generate index_name as ``knowledge_id + '-' + uuid`` (digits and lowercase letters only).\n        - Use generated index_name as the Elasticsearch index name.\n\n        For backward compatibility, legacy callers can still use create_index() directly\n        with an explicit index_name.\n        \"\"\"\n        try:\n            embedding_model = get_embedding_model(tenant_id)\n\n            # Create knowledge record first to obtain knowledge_id and generated index_name\n            knowledge_data = {\n                \"knowledge_name\": knowledge_name,\n                \"knowledge_describe\": \"\",\n                \"user_id\": user_id,\n                \"tenant_id\": tenant_id,\n                \"embedding_model_name\": embedding_model.model if embedding_model else None,\n            }\n\n            # Add group permission and group IDs if provided\n            if ingroup_permission is not None:\n                knowledge_data[\"ingroup_permission\"] = ingroup_permission\n            if group_ids is not None:\n                knowledge_data[\"group_ids\"] = group_ids\n\n            record_info = create_knowledge_record(knowledge_data)\n            index_name = record_info[\"index_name\"]\n\n            # Create Elasticsearch index with generated internal index_name\n            success = vdb_core.create_index(\n                index_name,\n                embedding_dim=embedding_dim\n                or (embedding_model.embedding_dim if embedding_model else 1024),\n            )\n            if not success:\n                raise Exception(f\"Failed to create index {index_name}\")\n\n            return {\n                \"status\": \"success\",\n                \"message\": f\"Index {index_name} created successfully\",\n                \"id\": index_name,\n                \"knowledge_id\": record_info[\"knowledge_id\"],\n                \"name\": record_info.get(\"knowledge_name\", knowledge_name),\n            }\n        except Exception as e:\n            raise Exception(f\"Error creating knowledge base: {str(e)}\")\n\n    @staticmethod\n    def update_knowledge_base(\n            index_name: str,\n            knowledge_name: Optional[str] = None,\n            ingroup_permission: Optional[str] = None,\n            group_ids: Optional[List[int]] = None,\n            tenant_id: Optional[str] = None,\n            user_id: Optional[str] = None,\n    ) -> bool:\n        \"\"\"\n        Update knowledge base information (name, group permission, group assignments).\n\n        Args:\n            index_name: Internal index name of the knowledge base\n            knowledge_name: New display name for the knowledge base (optional)\n            ingroup_permission: Permission level - EDIT, READ_ONLY, or PRIVATE (optional)\n            group_ids: List of group IDs to assign (optional)\n            tenant_id: ID of the tenant (optional, for validation)\n            user_id: ID of the user making the update\n\n        Returns:\n            bool: Whether the update was successful\n\n        Raises:\n            ValueError: If ingroup_permission is invalid\n        \"\"\"\n        valid_permissions = [\"EDIT\", \"READ_ONLY\", \"PRIVATE\"]\n        if ingroup_permission is not None and ingroup_permission not in valid_permissions:\n            raise ValueError(\n                f\"Invalid ingroup_permission. Must be one of: {valid_permissions}\"\n            )\n\n        # Build update data for database\n        update_data = {\n            \"index_name\": index_name,\n            \"updated_by\": user_id,\n        }\n\n        if knowledge_name is not None:\n            update_data[\"knowledge_name\"] = knowledge_name\n\n        if ingroup_permission is not None:\n            update_data[\"ingroup_permission\"] = ingroup_permission\n\n        if group_ids is not None:\n            # Convert list to string for database storage\n            update_data[\"group_ids\"] = convert_list_to_string(group_ids)\n\n        # Call database update function\n        result = update_knowledge_record(update_data)\n\n        if result:\n            logger.info(\n                f\"Knowledge base '{index_name}' updated successfully by user '{user_id}'\")\n\n        return result\n\n    @staticmethod\n    async def delete_index(\n            index_name: str = Path(...,\n                                   description=\"Name of the index to delete\"),\n            vdb_core: VectorDatabaseCore = Depends(get_vector_db_core),\n            user_id: Optional[str] = Body(\n                None, description=\"ID of the user delete the knowledge base\"),\n    ):\n        try:\n            # 1. Get list of files from the index\n            try:\n                files_to_delete = await ElasticSearchService.list_files(index_name, vdb_core=vdb_core)\n                if files_to_delete and files_to_delete.get(\"files\"):\n                    # 2. Delete files from MinIO storage\n                    for file_info in files_to_delete[\"files\"]:\n                        object_name = file_info.get(\"path_or_url\")\n                        source_type = file_info.get(\"source_type\")\n                        if object_name and source_type == \"minio\":\n                            logger.info(\n                                f\"Deleting file {object_name} from MinIO for index {index_name}\")\n                            delete_file(object_name)\n            except Exception as e:\n                # Log the error but don't block the index deletion\n                logger.error(\n                    f\"Error deleting associated files from MinIO for index {index_name}: {str(e)}\")\n\n            # 3. Delete the index in Elasticsearch\n            success = vdb_core.delete_index(index_name)\n            if not success:\n                # Even if deletion fails, we proceed to database record cleanup\n                logger.warning(\n                    f\"Index {index_name} not found in Elasticsearch or could not be deleted, but proceeding with DB cleanup.\")\n\n            # 4. Delete the knowledge base record from the database\n            update_data = {\n                \"updated_by\": user_id,\n                \"index_name\": index_name\n            }\n            success = delete_knowledge_record(update_data)\n            if not success:\n                raise Exception(\n                    f\"Error deleting knowledge record for index {index_name}\")\n\n            return {\"status\": \"success\", \"message\": f\"Index {index_name} and associated files deleted successfully\"}\n        except Exception as e:\n            raise Exception(f\"Error deleting index: {str(e)}\")\n\n    @staticmethod\n    def list_indices(\n            pattern: str = \"*\",\n            include_stats: bool = False,\n            target_tenant_id: str = \"\",\n            user_id: str = \"\",\n            vdb_core: VectorDatabaseCore | None = None\n    ):\n        \"\"\"\n        List all indices that the current user has permissions to access based on role and group permissions.\n\n        Permission logic:\n        - SU: All knowledgebases visible, all editable\n        - ADMIN: Knowledgebases from same tenant visible, all editable\n        - USER/DEV: Knowledgebases where user belongs to intersecting groups, permission determined by:\n            * If user is creator: editable\n            * If ingroup_permission=EDIT: editable\n            * If ingroup_permission=READ_ONLY: read-only\n            * If ingroup_permission=PRIVATE: not visible\n\n        Also syncs PG database with ES, removing data that is not in ES.\n\n        Args:\n            pattern: Pattern to match index names\n            include_stats: Whether to include index stats\n            target_tenant_id: ID of the tenant to list knowledge bases for\n            user_id: ID of the user listing the knowledge base\n            vdb_core: VectorDatabaseCore instance\n\n        Returns:\n            Dict[str, Any]: A dictionary containing the list of visible knowledgebases with permissions.\n        \"\"\"\n        # Get user tenant information for permission checking\n        user_tenant = get_user_tenant_by_user_id(user_id)\n        if not user_tenant:\n            return {\"indices\": [], \"count\": 0}\n\n        user_role = user_tenant.get(\"user_role\")\n        user_tenant_id = user_tenant.get(\"tenant_id\")\n        # Get user group IDs from tenant_group_user_t table\n        user_group_ids = query_group_ids_by_user(user_id)\n\n        # Get all indices from Elasticsearch\n        es_indices_list = vdb_core.get_user_indices(pattern)\n\n        # Get all knowledgebase records from database (for cleanup and permission checking)\n        all_db_records = get_knowledge_info_by_tenant_id(target_tenant_id)\n\n        # Filter visible knowledgebases based on user role and permissions\n        visible_knowledgebases = []\n        model_name_is_none_list = []\n\n        for record in all_db_records:\n            index_name = record[\"index_name\"]\n            if record['knowledge_sources'] == 'datamate':\n                continue\n            # Check if index exists in Elasticsearch (skip if not found)\n            if index_name not in es_indices_list:\n                continue\n\n            # Check permission based on user role\n            permission = None\n\n            # Fallback logic: if user_id equals user_tenant_id, treat as legacy admin user\n            # even if user_role is None or empty\n            effective_user_role = user_role\n            if user_id == user_tenant_id:\n                effective_user_role = \"ADMIN\"\n                logger.info(f\"User {user_id} identified as legacy admin\")\n            elif IS_SPEED_MODE:\n                effective_user_role = \"SPEED\"\n                logger.info(\"User under SPEED version is treated as admin\")\n\n            if effective_user_role in [\"SU\", \"ADMIN\", \"SPEED\"]:\n                # SU, ADMIN and SPEED roles can see all knowledgebases\n                permission = PERMISSION_EDIT\n            elif effective_user_role in [\"USER\", \"DEV\"]:\n                # USER/DEV need group-based permission checking\n                kb_group_ids_str = record.get(\"group_ids\")\n                kb_group_ids = convert_string_to_list(kb_group_ids_str or \"\")\n                kb_created_by = record.get(\"created_by\")\n                kb_ingroup_permission = record.get(\n                    \"ingroup_permission\") or PERMISSION_READ\n\n                # Check if user belongs to any of the knowledgebase groups\n                # Compatibility logic for legacy data:\n                # - If both kb_group_ids and user_group_ids are effectively empty (None or empty lists),\n                #   consider them intersecting (backward compatibility)\n                # - If either side has groups but they don't intersect, no intersection\n                kb_groups_empty = kb_group_ids_str is None or (isinstance(\n                    kb_group_ids_str, str) and kb_group_ids_str.strip() == \"\") or len(kb_group_ids) == 0\n                user_groups_empty = len(user_group_ids) == 0\n\n                if kb_groups_empty and user_groups_empty:\n                    # Both are empty/None - consider intersecting for backward compatibility\n                    has_group_intersection = True\n                else:\n                    # Normal intersection check\n                    has_group_intersection = bool(\n                        set(user_group_ids) & set(kb_group_ids))\n\n                if has_group_intersection:\n                    # Determine permission level\n                    permission = PERMISSION_READ  # Default\n\n                    # User is creator: creator permission\n                    if kb_created_by == user_id:\n                        permission = \"CREATOR\"\n                    # Group permission allows editing\n                    elif kb_ingroup_permission == PERMISSION_EDIT:\n                        permission = PERMISSION_EDIT\n                    # Group permission is read-only: already set\n                    elif kb_ingroup_permission == PERMISSION_READ:\n                        permission = PERMISSION_READ\n                    # Group permission is private: not visible\n                    elif kb_ingroup_permission == \"PRIVATE\":\n                        permission = None\n\n            # Add to visible list if permission is granted\n            if permission:\n                record_with_permission = dict(record)\n                record_with_permission[\"permission\"] = permission\n                # Convert group_ids string to list for easier client consumption\n                if record.get(\"group_ids\"):\n                    record_with_permission[\"group_ids\"] = convert_string_to_list(\n                        record[\"group_ids\"])\n                else:\n                    # If no group_ids specified, use tenant default group\n                    default_group_id = get_tenant_default_group_id(\n                        record.get(\"tenant_id\"))\n                    record_with_permission[\"group_ids\"] = [\n                        default_group_id] if default_group_id else []\n                visible_knowledgebases.append(record_with_permission)\n\n                # Track records with missing embedding model for stats update\n                if record.get(\"embedding_model_name\") is None:\n                    model_name_is_none_list.append(index_name)\n\n        # Build response\n        indices = [record[\"index_name\"] for record in visible_knowledgebases]\n\n        response = {\n            \"indices\": indices,\n            \"count\": len(indices),\n        }\n\n        if include_stats:\n            stats_info = []\n            if visible_knowledgebases:\n                index_names = [record[\"index_name\"]\n                               for record in visible_knowledgebases]\n                indice_stats = vdb_core.get_indices_detail(index_names)\n\n                for record in visible_knowledgebases:\n                    index_name = record[\"index_name\"]\n                    index_stats = indice_stats.get(index_name, {})\n\n                    stats_info.append({\n                        # Internal index name (used as ID)\n                        \"name\": index_name,\n                        # User-facing knowledge base name from PostgreSQL (fallback to index_name)\n                        \"display_name\": record.get(\"knowledge_name\", index_name),\n                        \"permission\": record[\"permission\"],\n                        \"group_ids\": record[\"group_ids\"],\n                        # knowledge source and ingroup permission from DB record\n                        \"knowledge_sources\": record[\"knowledge_sources\"],\n                        \"ingroup_permission\": record[\"ingroup_permission\"],\n                        \"tenant_id\": record.get(\"tenant_id\"),\n                        # Update time for sorting and display\n                        \"update_time\": record.get(\"update_time\"),\n                        \"stats\": index_stats,\n                    })\n\n                    # Update model name if missing\n                    if index_name in model_name_is_none_list:\n                        update_model_name_by_index_name(\n                            index_name,\n                            index_stats.get(\"base_info\", {}).get(\n                                \"embedding_model\", \"\"),\n                            record.get(\"tenant_id\", target_tenant_id),\n                            user_id\n                        )\n\n            response[\"indices_info\"] = stats_info\n\n        return response\n\n    @staticmethod\n    def index_documents(\n            embedding_model: BaseEmbedding,\n            index_name: str = Path(..., description=\"Name of the index\"),\n            data: List[Dict[str, Any]\n                       ] = Body(..., description=\"Document List to process\"),\n            vdb_core: VectorDatabaseCore = Depends(get_vector_db_core),\n            task_id: Optional[str] = None,\n    ):\n        \"\"\"\n        Index documents and create vector embeddings, create index if it doesn't exist\n\n        Args:\n            embedding_model: Optional embedding model to use for generating document vectors\n            index_name: Index name\n            data: List containing document data to be indexed\n            vdb_core: VectorDatabaseCore instance\n\n        Returns:\n            IndexingResponse object containing indexing result information\n        \"\"\"\n        try:\n            if not index_name:\n                raise Exception(\"Index name is required\")\n\n            # Create index if needed (ElasticSearchCore will handle embedding_dim automatically)\n            if not vdb_core.check_index_exists(index_name):\n                try:\n                    ElasticSearchService.create_index(\n                        index_name, vdb_core=vdb_core)\n                    logger.info(f\"Created new index {index_name}\")\n                except Exception as create_error:\n                    raise Exception(\n                        f\"Failed to create index {index_name}: {str(create_error)}\")\n\n            # Transform indexing request results to documents\n            documents = []\n\n            for idx, item in enumerate(data):\n                # All items should be dictionaries\n                if not isinstance(item, dict):\n                    logger.warning(f\"Skipping item {idx} - not a dictionary\")\n                    continue\n\n                # Extract metadata\n                metadata = item.get(\"metadata\", {})\n                source = item.get(\"path_or_url\")\n                text = item.get(\"content\", \"\")\n                source_type = item.get(\"source_type\")\n                file_size = item.get(\"file_size\")\n                file_name = item.get(\"filename\", os.path.basename(\n                    source) if source and source_type == \"local\" else \"\")\n\n                # Get from metadata\n                title = metadata.get(\"title\", \"\")\n                language = metadata.get(\"languages\", [\"null\"])[\n                    0] if metadata.get(\"languages\") else \"null\"\n                author = metadata.get(\"author\", \"null\")\n                date = metadata.get(\"date\", time.strftime(\n                    \"%Y-%m-%d\", time.gmtime()))\n                create_time = metadata.get(\"creation_date\", time.strftime(\n                    \"%Y-%m-%dT%H:%M:%S\", time.gmtime()))\n\n                # Set embedding model name from the embedding model\n                embedding_model_name = \"\"\n                if embedding_model:\n                    embedding_model_name = embedding_model.model\n\n                # Create document\n                document = {\n                    \"title\": title,\n                    \"filename\": file_name,\n                    \"path_or_url\": source,\n                    \"source_type\": source_type,\n                    \"language\": language,\n                    \"author\": author,\n                    \"date\": date,\n                    \"content\": text,\n                    \"process_source\": \"Unstructured\",\n                    \"file_size\": file_size,\n                    \"create_time\": create_time,\n                    \"languages\": metadata.get(\"languages\", []),\n                    \"embedding_model_name\": embedding_model_name\n                }\n\n                documents.append(document)\n\n            total_submitted = len(documents)\n            if total_submitted == 0:\n                return {\n                    \"success\": True,\n                    \"message\": \"No documents to index\",\n                    \"total_indexed\": 0,\n                    \"total_submitted\": 0\n                }\n\n            # Index documents (use default batch_size and content_field)\n            # Get chunk_batch from model config\n            # First, get tenant_id from knowledge record\n            knowledge_record = get_knowledge_record({'index_name': index_name})\n            tenant_id = knowledge_record.get(\n                'tenant_id') if knowledge_record else None\n\n            if tenant_id:\n                model_config = tenant_config_manager.get_model_config(\n                    key=\"EMBEDDING_ID\", tenant_id=tenant_id)\n                embedding_batch_size = model_config.get(\"chunk_batch\", 10)\n                if embedding_batch_size is None:\n                    embedding_batch_size = 10\n            else:\n                # Fallback to default if tenant_id not found\n                embedding_batch_size = 10\n\n            # Initialize progress tracking if task_id is provided\n            if task_id:\n                try:\n                    redis_service = get_redis_service()\n                    success = redis_service.save_progress_info(\n                        task_id, 0, total_submitted)\n                    if success:\n                        logger.info(\n                            f\"[REDIS PROGRESS] Initialized progress tracking for task {task_id}: 0/{total_submitted}\")\n                    else:\n                        logger.warning(\n                            f\"Failed to initialize progress tracking for task {task_id}\")\n                except Exception as e:\n                    logger.warning(\n                        f\"Failed to initialize progress tracking for task {task_id}: {str(e)}\")\n\n            try:\n                total_indexed = vdb_core.vectorize_documents(\n                    index_name=index_name,\n                    embedding_model=embedding_model,\n                    documents=documents,\n                    embedding_batch_size=embedding_batch_size,\n                    progress_callback=lambda processed, total: _update_progress(\n                        task_id, processed, total) if task_id else None\n                )\n\n                # Update final progress\n                if task_id:\n                    try:\n                        redis_service = get_redis_service()\n                        success = redis_service.save_progress_info(\n                            task_id, total_indexed, total_submitted)\n                        if success:\n                            logger.info(\n                                f\"[REDIS PROGRESS] Updated final progress for task {task_id}: {total_indexed}/{total_submitted}\")\n                        else:\n                            logger.warning(\n                                f\"[REDIS PROGRESS] Failed to update final progress for task {task_id}\")\n                    except Exception as e:\n                        logger.warning(\n                            f\"[REDIS PROGRESS] Exception updating final progress for task {task_id}: {str(e)}\")\n\n                return {\n                    \"success\": True,\n                    \"message\": f\"Successfully indexed {total_indexed} documents\",\n                    \"total_indexed\": total_indexed,\n                    \"total_submitted\": total_submitted\n                }\n            except Exception as e:\n                logger.error(f\"Error during indexing: {str(e)}\")\n                _rethrow_or_plain(e)\n\n        except Exception as e:\n            logger.error(f\"Error indexing documents: {str(e)}\")\n            _rethrow_or_plain(e)\n\n    @staticmethod\n    async def list_files(\n            index_name: str = Path(..., description=\"Name of the index\"),\n            include_chunks: bool = Query(\n                False, description=\"Whether to include text chunks for each file\"),\n            vdb_core: VectorDatabaseCore = Depends(get_vector_db_core)\n    ):\n        \"\"\"\n        Get file list for the specified index, including files that are not yet stored in ES\n\n        Args:\n            index_name: Name of the index\n            include_chunks: Whether to include text chunks for each file\n            vdb_core: VectorDatabaseCore instance\n\n        Returns:\n            Dictionary containing file list\n        \"\"\"\n        try:\n            files_map: Dict[str, Dict[str, Any]] = {}\n            # Get existing files from ES\n            existing_files = vdb_core.get_documents_detail(index_name)\n\n            # Get unique celery files list and the status of each file\n            celery_task_files = await get_all_files_status(index_name)\n\n            # For files already stored in ES, add to files list\n            for file_info in existing_files:\n                utc_create_time_str = file_info.get('create_time', '')\n                # Try to parse the create_time string, fallback to current timestamp if format is invalid\n                try:\n                    utc_create_timestamp = datetime.strptime(utc_create_time_str, '%Y-%m-%dT%H:%M:%S').replace(\n                        tzinfo=timezone.utc).timestamp()\n                except (ValueError, TypeError):\n                    utc_create_timestamp = time.time()\n\n                # Always re-query chunk count to ensure accuracy (aggregation may be stale)\n                path_or_url = file_info.get('path_or_url')\n                chunk_count = file_info.get('chunk_count', 0)\n                try:\n                    count_result = vdb_core.client.count(\n                        index=index_name,\n                        body={\"query\": {\"term\": {\"path_or_url\": path_or_url}}}\n                    )\n                    chunk_count = count_result.get(\"count\", chunk_count)\n                except Exception as count_err:\n                    logger.warning(\n                        f\"Failed to get chunk count for {path_or_url}: {count_err}, using aggregation value {chunk_count}\")\n\n                file_data = {\n                    'path_or_url': path_or_url,\n                    'file': file_info.get('filename', ''),\n                    'file_size': file_info.get('file_size', 0),\n                    'create_time': int(utc_create_timestamp * 1000),\n                    'status': \"COMPLETED\",\n                    'latest_task_id': '',\n                    'chunk_count': chunk_count,\n                    'error_reason': None,\n                    'has_error_info': False\n                }\n                files_map[path_or_url] = file_data\n\n            # For files not yet stored in ES (files currently being processed)\n            for path_or_url, status_info in celery_task_files.items():\n                status_dict = status_info if isinstance(\n                    status_info, dict) else {}\n\n                # Get source_type and original_filename, with defaults\n                source_type = status_dict.get('source_type') if status_dict.get(\n                    'source_type') else 'minio'\n                original_filename = status_dict.get('original_filename')\n\n                # Determine the filename\n                filename = original_filename or (\n                    os.path.basename(path_or_url) if path_or_url else '')\n\n                # Safely get file size; default to 0 on any error\n                file_size = 0\n                if path_or_url in files_map:\n                    file_size = files_map[path_or_url].get('file_size', 0)\n                else:\n                    try:\n                        file_size = get_file_size(\n                            source_type or 'minio', path_or_url)\n                    except Exception as size_err:\n                        logger.error(\n                            f\"Failed to get file size for '{path_or_url}': {size_err}\")\n                        file_size = 0\n\n                # Get progress from status_dict first, then try Redis for real-time updates\n                processed_chunks = status_dict.get('processed_chunks')\n                total_chunks = status_dict.get('total_chunks')\n                task_id = status_dict.get('latest_task_id', '')\n\n                # Always try to get latest progress from Redis if task_id exists\n                # Redis has the most up-to-date progress during vectorization\n                if task_id:\n                    try:\n                        redis_service = get_redis_service()\n                        progress_info = redis_service.get_progress_info(\n                            task_id)\n                        if progress_info:\n                            redis_processed = progress_info.get(\n                                'processed_chunks')\n                            redis_total = progress_info.get('total_chunks')\n                            if redis_processed is not None:\n                                processed_chunks = redis_processed\n                            if redis_total is not None:\n                                total_chunks = redis_total\n                            logger.debug(\n                                f\"Retrieved progress from Redis for task {task_id}: {processed_chunks}/{total_chunks}\")\n                    except Exception as e:\n                        logger.debug(\n                            f\"Failed to get progress from Redis for task {task_id}: {str(e)}\")\n\n                if path_or_url in files_map:\n                    file_data = files_map[path_or_url]\n                else:\n                    file_data = {\n                        'path_or_url': path_or_url,\n                        'file': filename,\n                        'file_size': file_size,\n                        'create_time': int(time.time() * 1000),\n                        'chunk_count': 0,\n                        'error_reason': None,\n                        'has_error_info': False\n                    }\n                    files_map[path_or_url] = file_data\n\n                file_data['status'] = status_dict.get('state', file_data.get(\n                    'status', 'UNKNOWN'))\n                file_data['latest_task_id'] = task_id\n                file_data['processed_chunk_num'] = processed_chunks\n                file_data['total_chunk_num'] = total_chunks\n\n                # Get error reason for failed documents\n                if task_id and status_dict.get('state') in ['PROCESS_FAILED', 'FORWARD_FAILED']:\n                    try:\n                        redis_service = get_redis_service()\n                        error_reason = redis_service.get_error_info(task_id)\n                        if error_reason:\n                            file_data['error_reason'] = error_reason\n                            file_data['has_error_info'] = True\n                    except Exception as e:\n                        logger.debug(\n                            f\"Failed to get error info for task {task_id}: {str(e)}\")\n\n            files = list(files_map.values())\n\n            # Unified chunks processing for all files\n            if include_chunks:\n                # Prepare msearch body for all completed files\n                completed_files_map = {\n                    f['path_or_url']: f for f in files if f['status'] == \"COMPLETED\"}\n                msearch_body = []\n\n                for path_or_url in completed_files_map.keys():\n                    msearch_body.append({'index': index_name})\n                    msearch_body.append({\n                        \"query\": {\"term\": {\"path_or_url\": path_or_url}},\n                        \"size\": 100,\n                        \"_source\": [\"id\", \"title\", \"content\", \"create_time\"]\n                    })\n\n                # Initialize chunks for all files\n                for file_data in files:\n                    file_data['chunks'] = []\n                    file_data['chunk_count'] = file_data.get('chunk_count', 0)\n\n                if msearch_body:\n                    try:\n                        msearch_responses = vdb_core.multi_search(\n                            body=msearch_body,\n                            index_name=index_name\n                        )\n\n                        for i, file_path in enumerate(completed_files_map.keys()):\n                            response = msearch_responses['responses'][i]\n                            file_data = completed_files_map[file_path]\n\n                            if 'error' in response:\n                                logger.error(\n                                    f\"Error getting chunks for {file_data.get('path_or_url')}: {response['error']}\")\n                                continue\n\n                            chunks = []\n                            for hit in response[\"hits\"][\"hits\"]:\n                                source = hit[\"_source\"]\n                                chunks.append({\n                                    \"id\": source.get(\"id\"),\n                                    \"title\": source.get(\"title\"),\n                                    \"content\": source.get(\"content\"),\n                                    \"create_time\": source.get(\"create_time\")\n                                })\n\n                            file_data['chunks'] = chunks\n                            # Get accurate chunk count using count query instead of len(chunks)\n                            # because msearch may have size limits\n                            try:\n                                count_result = vdb_core.client.count(\n                                    index=index_name,\n                                    body={\n                                        \"query\": {\"term\": {\"path_or_url\": file_path}}}\n                                )\n                                file_data['chunk_count'] = count_result.get(\n                                    \"count\", len(chunks))\n                            except Exception as count_err:\n                                logger.warning(\n                                    f\"Failed to get chunk count for {file_path}: {count_err}, using len(chunks)\")\n                                file_data['chunk_count'] = len(chunks)\n\n                    except Exception as e:\n                        logger.error(\n                            f\"Error during msearch for chunks: {str(e)}\")\n            else:\n                # When include_chunks=False, ensure chunk_count is accurate for completed files\n                for file_data in files:\n                    file_data['chunks'] = []\n                    if file_data.get('status') == \"COMPLETED\":\n                        # Always re-query chunk count for completed files to ensure accuracy\n                        try:\n                            count_result = vdb_core.client.count(\n                                index=index_name,\n                                body={\n                                    \"query\": {\"term\": {\"path_or_url\": file_data.get('path_or_url')}}}\n                            )\n                            file_data['chunk_count'] = count_result.get(\n                                \"count\", 0)\n                        except Exception as count_err:\n                            logger.warning(\n                                f\"Failed to get chunk count for {file_data.get('path_or_url')}: {count_err}\")\n                            file_data['chunk_count'] = file_data.get(\n                                'chunk_count', 0)\n                    else:\n                        file_data['chunk_count'] = file_data.get(\n                            'chunk_count', 0)\n\n            return {\"files\": files}\n\n        except Exception as e:\n            raise Exception(\n                f\"Error getting file list for index {index_name}: {str(e)}\")\n\n    @staticmethod\n    def delete_documents(\n            index_name: str = Path(..., description=\"Name of the index\"),\n            path_or_url: str = Query(...,\n                                     description=\"Path or URL of documents to delete\"),\n            vdb_core: VectorDatabaseCore = Depends(get_vector_db_core)\n    ):\n        # 1. Delete ES documents\n        deleted_count = vdb_core.delete_documents(\n            index_name, path_or_url)\n        # 2. Delete MinIO file\n        minio_result = delete_file(path_or_url)\n        return {\"status\": \"success\", \"deleted_es_count\": deleted_count, \"deleted_minio\": minio_result.get(\"success\")}\n\n    @staticmethod\n    def health_check(vdb_core: VectorDatabaseCore = Depends(get_vector_db_core)):\n        \"\"\"\n        Check the health status of the API and Elasticsearch\n\n        Args:\n            vdb_core: VectorDatabaseCore instance\n\n        Returns:\n            Response containing health status information\n        \"\"\"\n        try:\n            # Try to list indices as a health check\n            indices = vdb_core.get_user_indices()\n            return {\n                \"status\": \"healthy\",\n                \"elasticsearch\": \"connected\",\n                \"indices_count\": len(indices)\n            }\n        except Exception as e:\n            raise Exception(f\"Health check failed: {str(e)}\")\n\n    async def summary_index_name(self,\n                                 index_name: str = Path(\n                                     ..., description=\"Name of the index to get documents from\"),\n                                 batch_size: int = Query(\n                                     1000, description=\"Number of documents to retrieve per batch\"),\n                                 vdb_core: VectorDatabaseCore = Depends(\n                                     get_vector_db_core),\n                                 user_id: Optional[str] = Body(\n                                     None, description=\"ID of the user delete the knowledge base\"),\n                                 tenant_id: Optional[str] = Body(\n                                     None, description=\"ID of the tenant\"),\n                                 language: str = LANGUAGE[\"ZH\"],\n                                 model_id: Optional[int] = None\n                                 ):\n        \"\"\"\n        Generate a summary for the specified index using advanced Map-Reduce approach\n\n        New implementation:\n        1. Get documents and cluster them by semantic similarity\n        2. Map: Summarize each document individually\n        3. Reduce: Merge document summaries into cluster summaries\n        4. Return: Combined knowledge base summary\n\n        Args:\n            index_name: Name of the index to summarize\n            batch_size: Number of documents to sample (default: 1000)\n            vdb_core: VectorDatabaseCore instance\n            user_id: ID of the user delete the knowledge base\n            tenant_id: ID of the tenant\n            language: Language of the summary (default: 'zh')\n            model_id: Model ID for LLM summarization\n\n        Returns:\n            StreamingResponse containing the generated summary\n        \"\"\"\n        try:\n            if not tenant_id:\n                raise Exception(\n                    \"Tenant ID is required for summary generation.\")\n\n            from utils.document_vector_utils import (\n                process_documents_for_clustering,\n                kmeans_cluster_documents,\n                summarize_clusters_map_reduce,\n                merge_cluster_summaries\n            )\n            # Use new Map-Reduce approach\n            # Sample reasonable number of documents\n            sample_count = min(batch_size // 5, 200)\n\n            # Define a helper function to run all blocking operations in a thread pool\n            def _generate_summary_sync():\n                \"\"\"Synchronous function that performs all blocking operations\"\"\"\n                # Step 1: Get documents and calculate embeddings\n                document_samples, doc_embeddings = process_documents_for_clustering(\n                    index_name=index_name,\n                    vdb_core=vdb_core,\n                    sample_doc_count=sample_count\n                )\n\n                if not document_samples:\n                    raise Exception(\"No documents found in index.\")\n\n                # Step 2: Cluster documents (CPU-intensive operation)\n                clusters = kmeans_cluster_documents(doc_embeddings, k=None)\n\n                # Step 3: Map-Reduce summarization (contains blocking LLM calls)\n                cluster_summaries = summarize_clusters_map_reduce(\n                    document_samples=document_samples,\n                    clusters=clusters,\n                    language=language,\n                    doc_max_words=100,\n                    cluster_max_words=150,\n                    model_id=model_id,\n                    tenant_id=tenant_id\n                )\n\n                # Step 4: Merge into final summary\n                final_summary = merge_cluster_summaries(cluster_summaries)\n                return final_summary\n\n            # Run blocking operations in a thread pool to avoid blocking the event loop\n            # Use get_running_loop() for better compatibility with modern asyncio\n            try:\n                loop = asyncio.get_running_loop()\n            except RuntimeError:\n                # Fallback for edge cases\n                loop = asyncio.get_event_loop()\n            final_summary = await loop.run_in_executor(None, _generate_summary_sync)\n\n            # Stream the result\n            async def generate_summary():\n                try:\n                    # Stream the summary character by character\n                    for char in final_summary:\n                        yield f\"data: {{\\\"status\\\": \\\"success\\\", \\\"message\\\": \\\"{char}\\\"}}\\n\\n\"\n                        await asyncio.sleep(0.01)\n                    yield \"data: {\\\"status\\\": \\\"completed\\\"}\\n\\n\"\n                except Exception as e:\n                    yield f\"data: {{\\\"status\\\": \\\"error\\\", \\\"message\\\": \\\"{e}\\\"}}\\n\\n\"\n\n            return StreamingResponse(\n                generate_summary(),\n                media_type=\"text/event-stream\"\n            )\n\n        except Exception as e:\n            logger.error(\n                f\"Knowledge base summary generation failed: {str(e)}\", exc_info=True)\n            raise Exception(f\"Failed to generate summary: {str(e)}\")\n\n    @staticmethod\n    def get_random_documents(\n            index_name: str = Path(...,\n                                   description=\"Name of the index to get documents from\"),\n            batch_size: int = Query(\n                1000, description=\"Maximum number of documents to retrieve\"),\n            vdb_core: VectorDatabaseCore = Depends(get_vector_db_core)\n    ):\n        \"\"\"\n        Get random sample of documents from the specified index\n\n        Args:\n            index_name: Name of the index to get documents from\n            batch_size: Maximum number of documents to retrieve, default 1000\n            vdb_core: VectorDatabaseCore instance\n\n        Returns:\n            Dictionary containing total count and sampled documents\n        \"\"\"\n        try:\n            # Get total document count\n            total_docs = vdb_core.count_documents(index_name)\n\n            # Construct the random sampling query using random_score\n            query = {\n                \"size\": batch_size,  # Limit return size\n                \"query\": {\n                    \"function_score\": {\n                        \"query\": {\"match_all\": {}},\n                        \"random_score\": {\n                            # Use current time as random seed\n                            \"seed\": int(time.time()),\n                            \"field\": \"_seq_no\"\n                        }\n                    }\n                }\n            }\n\n            # Execute the query\n            response = vdb_core.search(\n                index_name=index_name,\n                query=query\n            )\n\n            # Extract and process the sampled documents\n            sampled_docs = []\n            for hit in response['hits']['hits']:\n                doc = hit['_source']\n                doc['_id'] = hit['_id']  # Add document ID\n                sampled_docs.append(doc)\n\n            return {\n                \"total\": total_docs,\n                \"documents\": sampled_docs\n            }\n\n        except Exception as e:\n            raise Exception(\n                f\"Error retrieving random documents from index {index_name}: {str(e)}\")\n\n    @staticmethod\n    def change_summary(\n            index_name: str = Path(...,\n                                   description=\"Name of the index to get documents from\"),\n            summary_result: Optional[str] = Body(\n                description=\"knowledge base summary\"),\n            user_id: Optional[str] = Body(\n                None, description=\"ID of the user delete the knowledge base\")\n    ):\n        \"\"\"\n        Update the summary for the specified Elasticsearch index\n\n        Args:\n            index_name: Name of the index to update\n            summary_result: New summary content\n            user_id: ID of the user making the update\n\n        Returns:\n            Dictionary containing status and updated summary information\n        \"\"\"\n        try:\n            update_data = {\n                \"knowledge_describe\": summary_result,  # Set the new summary\n                \"updated_by\": user_id,\n                \"index_name\": index_name\n            }\n            update_knowledge_record(update_data)\n            return {\"status\": \"success\", \"message\": f\"Index {index_name} summary updated successfully\",\n                    \"summary\": summary_result}\n        except Exception as e:\n            raise Exception(f\"{str(e)}\")\n\n    @staticmethod\n    def get_summary(index_name: str = Path(..., description=\"Name of the index to get documents from\")):\n        \"\"\"\n        Get the summary for the specified Elasticsearch index\n\n        Args:\n            index_name: Name of the index to get summary from\n\n        Returns:\n            Dictionary containing status and summary information\n        \"\"\"\n        try:\n            knowledge_record = get_knowledge_record({'index_name': index_name})\n            if knowledge_record:\n                summary_result = knowledge_record[\"knowledge_describe\"]\n                success_msg = f\"Index {index_name} summary retrieved successfully\"\n                return {\"status\": \"success\", \"message\": success_msg, \"summary\": summary_result}\n            error_detail = f\"Unable to get summary for index {index_name}\"\n            raise Exception(error_detail)\n        except Exception as e:\n            error_msg = f\"Failed to get summary: {str(e)}\"\n            raise Exception(error_msg)\n\n    @staticmethod\n    def get_index_chunks(\n        index_name: str,\n        page: Optional[int] = None,\n        page_size: Optional[int] = None,\n        path_or_url: Optional[str] = None,\n        vdb_core: VectorDatabaseCore = Depends(get_vector_db_core),\n    ):\n        \"\"\"\n        Retrieve chunk records for the specified index with optional pagination.\n\n        Args:\n            index_name: Name of the index to query\n            page: Page number (1-based) when paginating\n            page_size: Page size when paginating\n            path_or_url: Optional document filter\n            vdb_core: VectorDatabaseCore instance\n\n        Returns:\n            Dictionary containing status, chunk list, total, and pagination metadata\n        \"\"\"\n        try:\n            result = vdb_core.get_index_chunks(\n                index_name,\n                page=page,\n                page_size=page_size,\n                path_or_url=path_or_url,\n            )\n            raw_chunks = result.get(\"chunks\", [])\n            total = result.get(\"total\", len(raw_chunks))\n            result_page = result.get(\"page\", page)\n            result_page_size = result.get(\"page_size\", page_size)\n\n            filtered_chunks: List[Any] = []\n            for chunk in raw_chunks:\n                if isinstance(chunk, dict):\n                    filtered_chunks.append(\n                        {\n                            field: chunk.get(field)\n                            for field in ALLOWED_CHUNK_FIELDS\n                            if field in chunk\n                        }\n                    )\n                else:\n                    filtered_chunks.append(chunk)\n\n            return {\n                \"status\": \"success\",\n                \"message\": f\"Successfully retrieved {len(filtered_chunks)} chunks from index {index_name}\",\n                \"chunks\": filtered_chunks,\n                \"total\": total,\n                \"page\": result_page,\n                \"page_size\": result_page_size\n            }\n        except Exception as e:\n            error_msg = f\"Error retrieving chunks from index {index_name}: {str(e)}\"\n            logger.error(error_msg)\n            raise Exception(error_msg)\n\n    @staticmethod\n    def create_chunk(\n        index_name: str,\n        chunk_request: ChunkCreateRequest,\n        vdb_core: VectorDatabaseCore = Depends(get_vector_db_core),\n        user_id: Optional[str] = None,\n        tenant_id: Optional[str] = None,\n    ):\n        \"\"\"\n        Create a manual chunk entry in the specified index.\n        Automatically generates and stores embedding for semantic search.\n        \"\"\"\n        try:\n            # Get knowledge base's embedding model name\n            embedding_model_name = None\n            if tenant_id:\n                try:\n                    knowledge_record = get_knowledge_record({\n                        \"index_name\": index_name,\n                        \"tenant_id\": tenant_id\n                    })\n                    embedding_model_name = knowledge_record.get(\"embedding_model_name\") if knowledge_record else None\n                except Exception as e:\n                    logger.warning(f\"Failed to get embedding model name for index {index_name}: {e}\")\n\n            # Generate embedding if we have content and can get embedding model\n            embedding_vector = None\n            if chunk_request.content:\n                try:\n                    embedding_model = get_embedding_model(tenant_id, embedding_model_name) if tenant_id else None\n                    if embedding_model:\n                        embeddings = embedding_model.get_embeddings(chunk_request.content)\n                        if embeddings and len(embeddings) > 0:\n                            embedding_vector = embeddings[0]\n                            logger.debug(f\"Generated embedding for chunk in index {index_name}\")\n                        else:\n                            logger.warning(f\"Failed to generate embedding for chunk in index {index_name}\")\n                    else:\n                        logger.warning(f\"No embedding model available for index {index_name}\")\n                except Exception as e:\n                    logger.warning(f\"Failed to generate embedding for chunk: {e}\")\n\n            # Build chunk payload\n            chunk_payload = ElasticSearchService._build_chunk_payload(\n                base_fields={\n                    \"id\": chunk_request.chunk_id or ElasticSearchService._generate_chunk_id(),\n                    \"title\": chunk_request.title,\n                    \"filename\": chunk_request.filename,\n                    \"path_or_url\": chunk_request.path_or_url,\n                    \"content\": chunk_request.content,\n                    \"created_by\": user_id,\n                },\n                metadata=chunk_request.metadata,\n                ensure_create_time=True,\n            )\n\n            # Add embedding if generated\n            if embedding_vector:\n                chunk_payload[\"embedding\"] = embedding_vector\n                if embedding_model_name:\n                    chunk_payload[\"embedding_model_name\"] = embedding_model_name\n\n            result = vdb_core.create_chunk(index_name, chunk_payload)\n            return {\n                \"status\": \"success\",\n                \"message\": f\"Chunk {result.get('id')} created successfully\",\n                \"chunk_id\": result.get(\"id\"),\n            }\n        except Exception as exc:\n            logger.error(\"Error creating chunk in index %s: %s\",\n                         index_name, exc, exc_info=True)\n            raise Exception(f\"Error creating chunk: {exc}\")\n\n    @staticmethod\n    def update_chunk(\n        index_name: str,\n        chunk_id: str,\n        chunk_request: ChunkUpdateRequest,\n        vdb_core: VectorDatabaseCore = Depends(get_vector_db_core),\n        user_id: Optional[str] = None,\n    ):\n        \"\"\"\n        Update a chunk document.\n        \"\"\"\n        try:\n            update_fields = chunk_request.dict(\n                exclude_unset=True, exclude={\"metadata\"})\n            metadata = chunk_request.metadata or {}\n            update_payload = ElasticSearchService._build_chunk_payload(\n                base_fields={\n                    **update_fields,\n                    \"updated_by\": user_id,\n                    \"update_time\": datetime.utcnow().strftime(\n                        \"%Y-%m-%dT%H:%M:%S\"),\n                },\n                metadata=metadata,\n                ensure_create_time=False,\n            )\n\n            if not update_payload:\n                raise ValueError(\"No update fields supplied.\")\n\n            result = vdb_core.update_chunk(\n                index_name, chunk_id, update_payload)\n            return {\n                \"status\": \"success\",\n                \"message\": f\"Chunk {result.get('id')} updated successfully\",\n                \"chunk_id\": result.get(\"id\"),\n            }\n        except Exception as exc:\n            logger.error(\"Error updating chunk %s in index %s: %s\",\n                         chunk_id, index_name, exc, exc_info=True)\n            raise Exception(f\"Error updating chunk: {exc}\")\n\n    @staticmethod\n    def delete_chunk(\n        index_name: str,\n        chunk_id: str,\n        vdb_core: VectorDatabaseCore = Depends(get_vector_db_core),\n    ):\n        \"\"\"\n        Delete a chunk document by id.\n        \"\"\"\n        try:\n            deleted = vdb_core.delete_chunk(index_name, chunk_id)\n            if not deleted:\n                raise ValueError(\n                    f\"Chunk {chunk_id} not found in index {index_name}\")\n            return {\n                \"status\": \"success\",\n                \"message\": f\"Chunk {chunk_id} deleted successfully\",\n                \"chunk_id\": chunk_id,\n            }\n        except Exception as exc:\n            logger.error(\"Error deleting chunk %s in index %s: %s\",\n                         chunk_id, index_name, exc, exc_info=True)\n            raise Exception(f\"Error deleting chunk: {exc}\")\n\n    @staticmethod\n    def search_hybrid(\n            *,\n            index_names: List[str],\n            query: str,\n            tenant_id: str,\n            top_k: int = 10,\n            weight_accurate: float = 0.5,\n            vdb_core: VectorDatabaseCore = Depends(get_vector_db_core),\n    ):\n        \"\"\"\n        Execute a hybrid search that blends accurate and semantic scoring.\n        \"\"\"\n        try:\n            if not tenant_id:\n                raise ValueError(\"Tenant ID is required for hybrid search\")\n            if not query or not query.strip():\n                raise ValueError(\"Query text is required for hybrid search\")\n            if not index_names:\n                raise ValueError(\"At least one index name is required\")\n            if top_k <= 0:\n                raise ValueError(\"top_k must be greater than 0\")\n            if weight_accurate < 0 or weight_accurate > 1:\n                raise ValueError(\"weight_accurate must be between 0 and 1\")\n\n            embedding_model = get_embedding_model(tenant_id)\n            if not embedding_model:\n                raise ValueError(\n                    \"No embedding model configured for the current tenant\")\n\n            start_time = time.perf_counter()\n            raw_results = vdb_core.hybrid_search(\n                index_names=index_names,\n                query_text=query,\n                embedding_model=embedding_model,\n                top_k=top_k,\n                weight_accurate=weight_accurate,\n            )\n            elapsed_ms = int((time.perf_counter() - start_time) * 1000)\n\n            formatted_results = []\n            for item in raw_results:\n                document = dict(item.get(\"document\", {}))\n                document[\"score\"] = item.get(\"score\")\n                document[\"index\"] = item.get(\"index\")\n                if \"scores\" in item:\n                    document[\"score_details\"] = item[\"scores\"]\n                formatted_results.append(document)\n\n            return {\n                \"results\": formatted_results,\n                \"total\": len(formatted_results),\n                \"query_time_ms\": elapsed_ms,\n            }\n        except ValueError:\n            raise\n        except Exception as exc:\n            logger.error(\n                f\"Hybrid search failed for indices {index_names}: {exc}\",\n                exc_info=True,\n            )\n            raise Exception(f\"Error executing hybrid search: {str(exc)}\")\n\n    @staticmethod\n    def _generate_chunk_id() -> str:\n        \"\"\"Generate a deterministic chunk id.\"\"\"\n        return f\"chunk_{uuid.uuid4().hex}\"\n\n    @staticmethod\n    def _build_chunk_payload(\n        base_fields: Dict[str, Any],\n        metadata: Optional[Dict[str, Any]],\n        ensure_create_time: bool = True,\n    ) -> Dict[str, Any]:\n        \"\"\"\n        Merge and sanitize chunk payload fields.\n        \"\"\"\n        payload = {\n            key: value for key, value in (base_fields or {}).items() if value is not None\n        }\n        if metadata:\n            for key, value in metadata.items():\n                if value is not None:\n                    payload[key] = value\n\n        if ensure_create_time and \"create_time\" not in payload:\n            payload[\"create_time\"] = datetime.utcnow().strftime(\n                \"%Y-%m-%dT%H:%M:%S\")\n\n        return payload\n"
  },
  {
    "path": "backend/services/voice_service.py",
    "content": "import asyncio\nimport logging\nfrom typing import Any, Optional\n\nfrom nexent.core.models.stt_model import STTConfig, STTModel\nfrom nexent.core.models.tts_model import TTSConfig, TTSModel\n\nfrom consts.const import APPID, CLUSTER, SPEED_RATIO, TEST_VOICE_PATH, TOKEN, VOICE_TYPE\nfrom consts.exceptions import (\n    VoiceServiceException,\n    STTConnectionException,\n    TTSConnectionException,\n    VoiceConfigException\n)\n\nlogger = logging.getLogger(\"voice_service\")\n\n\nclass VoiceService:\n    \"\"\"Voice service that handles STT and TTS operations\"\"\"\n\n    def __init__(self):\n        \"\"\"Initialize the voice service with configurations from const.py\"\"\"\n        try:\n            # Initialize STT configuration\n            self.stt_config = STTConfig(\n                appid=APPID,\n                token=TOKEN\n            )\n\n            # Initialize TTS configuration\n            self.tts_config = TTSConfig(\n                appid=APPID,\n                token=TOKEN,\n                cluster=CLUSTER,\n                voice_type=VOICE_TYPE,\n                speed_ratio=SPEED_RATIO\n            )\n\n            # Initialize models\n            self.stt_model = STTModel(self.stt_config, TEST_VOICE_PATH)\n            self.tts_model = TTSModel(self.tts_config)\n\n        except Exception as e:\n            logger.error(f\"Failed to initialize voice service: {str(e)}\")\n            raise VoiceConfigException(f\"Voice service initialization failed: {str(e)}\") from e\n\n    async def start_stt_streaming_session(self, websocket) -> None:\n        \"\"\"\n        Start STT streaming session\n\n        Args:\n            websocket: WebSocket connection for real-time audio streaming\n\n        Raises:\n            STTConnectionException: If STT streaming fails\n        \"\"\"\n        try:\n            logger.info(\"Starting STT streaming session\")\n            await self.stt_model.start_streaming_session(websocket)\n        except Exception as e:\n            logger.error(f\"STT streaming session failed: {str(e)}\")\n            raise STTConnectionException(f\"STT streaming failed: {str(e)}\") from e\n\n    async def generate_tts_speech(self, text: str, stream: bool = True) -> Any:\n        \"\"\"\n        Generate TTS speech from text\n\n        Args:\n            text: Text to convert to speech\n            stream: Whether to stream the audio or return complete audio\n\n        Returns:\n            Audio data (streaming or complete)\n\n        Raises:\n            TTSConnectionException: If TTS generation fails\n        \"\"\"\n        if not text:\n            raise VoiceServiceException(\"No text provided for TTS generation\")\n\n        try:\n            logger.info(f\"Generating TTS speech for text: {text[:50]}...\")\n            speech_result = await self.tts_model.generate_speech(text, stream=stream)\n            return speech_result\n        except Exception as e:\n            logger.error(f\"TTS generation failed: {str(e)}\")\n            raise TTSConnectionException(f\"TTS generation failed: {str(e)}\") from e\n\n    async def stream_tts_to_websocket(self, websocket, text: str) -> None:\n        \"\"\"\n        Stream TTS audio to WebSocket with proper error handling and fallback\n\n        Args:\n            websocket: WebSocket connection to stream to\n            text: Text to convert to speech\n\n        Raises:\n            TTSConnectionException: If TTS service connection fails\n            VoiceServiceException: If TTS streaming fails\n        \"\"\"\n        try:\n            # Generate and stream audio chunks\n            speech_result = await self.generate_tts_speech(text, stream=True)\n\n            # Check if it's an async iterator or a regular iterable\n            if hasattr(speech_result, '__aiter__'):\n                # It's an async iterator, use async for\n                async for chunk in speech_result:\n                    if websocket.client_state.name == \"CONNECTED\":\n                        await websocket.send_bytes(chunk)\n                    else:\n                        break\n            elif hasattr(speech_result, '__iter__'):\n                # It's a regular iterator, use normal for\n                for chunk in speech_result:\n                    if websocket.client_state.name == \"CONNECTED\":\n                        await websocket.send_bytes(chunk)\n                    else:\n                        break\n            else:\n                # It's a single chunk, send it directly\n                if websocket.client_state.name == \"CONNECTED\":\n                    await websocket.send_bytes(speech_result)\n\n            await asyncio.sleep(0.1)\n\n        except TypeError as te:\n            # If speech_result is still a coroutine, try calling it directly without stream=True\n            if \"async for\" in str(te) and \"requires an object with __aiter__\" in str(te):\n                logger.error(\"Falling back to non-streaming TTS\")\n                speech_data = await self.generate_tts_speech(text, stream=False)\n                if websocket.client_state.name == \"CONNECTED\":\n                    await websocket.send_bytes(speech_data)\n            else:\n                raise\n\n        # Send end marker after successful TTS generation\n        if websocket.client_state.name == \"CONNECTED\":\n            await websocket.send_json({\"status\": \"completed\"})\n\n    async def check_stt_connectivity(self) -> bool:\n        \"\"\"\n        Check STT service connectivity\n\n        Returns:\n            bool: True if STT service is connected, False otherwise\n\n        Raises:\n            STTConnectionException: If connectivity check fails\n        \"\"\"\n        try:\n            logger.info(f\"Checking STT connectivity with config: {self.stt_config}\")\n            connected = await self.stt_model.check_connectivity()\n            if not connected:\n                logger.error(\"STT service connection failed\")\n                raise STTConnectionException(\"STT service connection failed\")\n            return connected\n        except STTConnectionException:\n            raise\n        except Exception as e:\n            logger.error(f\"STT connectivity check failed: {str(e)}\")\n            raise STTConnectionException(f\"STT connectivity check failed: {str(e)}\") from e\n\n    async def check_tts_connectivity(self) -> bool:\n        \"\"\"\n        Check TTS service connectivity\n\n        Returns:\n            bool: True if TTS service is connected, False otherwise\n\n        Raises:\n            TTSConnectionException: If connectivity check fails\n        \"\"\"\n        try:\n            logger.info(f\"Checking TTS connectivity with config: {self.tts_config}\")\n            connected = await self.tts_model.check_connectivity()\n            if not connected:\n                logger.error(\"TTS service connection failed\")\n                raise TTSConnectionException(\"TTS service connection failed\")\n            return connected\n        except TTSConnectionException:\n            raise\n        except Exception as e:\n            logger.error(f\"TTS connectivity check failed: {str(e)}\")\n            raise TTSConnectionException(f\"TTS connectivity check failed: {str(e)}\") from e\n\n    async def check_voice_connectivity(self, model_type: str) -> bool:\n        \"\"\"\n        Check voice service connectivity based on model type\n\n        Args:\n            model_type: Type of model to check ('stt' or 'tts')\n\n        Returns:\n            bool: True if the specified service is connected, False otherwise\n\n        Raises:\n            VoiceServiceException: If model_type is invalid\n            STTConnectionException: If STT connectivity check fails\n            TTSConnectionException: If TTS connectivity check fails\n        \"\"\"\n        try:\n            if model_type == 'stt':\n                return await self.check_stt_connectivity()\n            elif model_type == 'tts':\n                return await self.check_tts_connectivity()\n            else:\n                logger.error(f\"Unknown model type: {model_type}\")\n                raise VoiceServiceException(f\"Unknown model type: {model_type}\")\n        except (STTConnectionException, TTSConnectionException):\n            raise\n        except Exception as e:\n            logger.error(f\"Voice service connectivity check failed: {str(e)}\")\n            raise VoiceServiceException(f\"Voice service connectivity check failed: {str(e)}\") from e\n\n\n# Global voice service instance\n_voice_service_instance: Optional[VoiceService] = None\n\n\ndef get_voice_service() -> VoiceService:\n    \"\"\"\n    Get the global voice service instance\n\n    Returns:\n        VoiceService: The global voice service instance\n    \"\"\"\n    global _voice_service_instance\n    if _voice_service_instance is None:\n        _voice_service_instance = VoiceService()\n    return _voice_service_instance\n"
  },
  {
    "path": "backend/tool_collection/langchain/compute_tool.py",
    "content": "# from langchain_core.tools import tool, StructuredTool\n# from typing import Annotated\n# from pydantic import BaseModel, Field\n#\n#\n# @tool\n# def add(a: int, b: int) -> int:\n#     \"\"\"\n#     Calculate the sum of two numbers.\n#     \"\"\"\n#     return a+b\n#\n# @tool\n# def multiply(\n#         a: Annotated[int, \"scale factor\"],\n#         b: Annotated[int, \"scale factor\"],\n# ) -> int:\n#     \"\"\"\n#     Calculate the product of two integers.\n#     \"\"\"\n#     return a * b\n#\n# @tool(parse_docstring=True)\n# def subtraction(a: int, b: int) -> int:\n#     \"\"\"\n#     Calculate the difference between two numbers.\n#\n#     Args:\n#     a (int): The first number.\n#     b (int): The second number.\n#\n#     Returns:\n#     int: The difference between a and b.\n#     \"\"\"\n#     return a-b\n#\n#\n# class DivisionInput(BaseModel):\n#     num1: int = Field(description=\"first number\")\n#     num2: int = Field(description=\"second number\")\n#\n# @tool(\"division\", args_schema=DivisionInput)\n# def division(num1: int, num2: int) -> int:\n#     \"\"\"Return the quotient of two numbers.\"\"\"\n#     return num1//num2\n#\n#\n# class ExponentiationInput(BaseModel):\n#     num: int = Field(description=\"first number\")\n#     power: int = Field(description=\"second number\")\n#\n#\n# def exponentiation_func(num: int, power: int) -> int:\n#     \"\"\"Calculate the power of a number\"\"\"\n#     return num**power\n#\n#\n# exponentiation = StructuredTool.from_function(\n#     func=exponentiation_func,\n#     name=\"exponentiation\",\n#     description=\"Calculate the power of a number\",\n#     args_schema=ExponentiationInput,\n#     return_direct=True,\n#     # coroutine= ... <- you can specify an async method if desired as well\n# )\n"
  },
  {
    "path": "backend/tool_collection/mcp/local_mcp_service.py",
    "content": "from fastmcp import FastMCP\n\n# Create MCP server\nlocal_mcp_service = FastMCP(\"local\")\n\n@local_mcp_service.tool(name=\"test_tool_name\",\n                        description=\"test_tool_description\")\nasync def demo_tool(para_1: str, para_2: int) -> str:\n    print(\"tool is called successfully\")\n    print(para_1, para_2)\n    return \"success\"\n\n"
  },
  {
    "path": "backend/utils/__init__.py",
    "content": ""
  },
  {
    "path": "backend/utils/auth_utils.py",
    "content": "import logging\nimport time\nimport hmac\nimport hashlib\nfrom datetime import datetime, timedelta\nfrom typing import Dict, Optional, Tuple\n\nimport jwt\nfrom fastapi import Request\nfrom supabase import create_client\n\nfrom consts.const import (\n    DEFAULT_TENANT_ID,\n    DEFAULT_USER_ID,\n    IS_SPEED_MODE,\n    SUPABASE_JWT_SECRET,\n    SUPABASE_URL,\n    SUPABASE_KEY,\n    SERVICE_ROLE_KEY,\n    DEBUG_JWT_EXPIRE_SECONDS,\n    LANGUAGE,\n)\nfrom consts.exceptions import LimitExceededError, UnauthorizedError\nfrom database.user_tenant_db import get_user_tenant_by_user_id\nfrom database.token_db import get_token_by_access_key\n\n# Module logger\nlogger = logging.getLogger(__name__)\n\n# ---------------------------------------------------------------------------\n# Shared test constants\n# ---------------------------------------------------------------------------\n\n# Fixed test secret used by generate_test_jwt and unit tests.\nMOCK_JWT_SECRET_KEY = \"nexent-mock-jwt-secret\"\n\n# ---------------------------------------------------------------------------\n# AK/SK (Access Key / Secret Key) authentication helpers\n# ---------------------------------------------------------------------------\n\n# Validity window in seconds for X-Timestamp header.\nTIMESTAMP_VALIDITY_WINDOW = 5 * 60\n\n\ndef calculate_hmac_signature(secret_key: str, access_key: str, timestamp: str, body: str) -> str:\n    \"\"\"\n    Calculate HMAC-SHA256 signature for AK/SK authentication.\n\n    Returns a lowercase hex digest of length 64.\n    \"\"\"\n    message = f\"{access_key}\\n{timestamp}\\n{body}\".encode(\"utf-8\")\n    return hmac.new(secret_key.encode(\"utf-8\"), message, hashlib.sha256).hexdigest()\n\n\ndef validate_timestamp(timestamp: str) -> bool:\n    \"\"\"Validate that timestamp is within allowed window.\"\"\"\n    try:\n        ts = int(timestamp)\n    except (TypeError, ValueError):\n        return False\n\n    now = int(time.time())\n    return abs(now - ts) <= TIMESTAMP_VALIDITY_WINDOW\n\n\ndef extract_aksk_headers(headers: Dict[str, str]) -> Tuple[str, str, str]:\n    \"\"\"Extract AK/SK headers or raise UnauthorizedError when missing.\"\"\"\n    access_key = headers.get(\"X-Access-Key\") if headers else None\n    timestamp = headers.get(\"X-Timestamp\") if headers else None\n    signature = headers.get(\"X-Signature\") if headers else None\n\n    if not access_key or not timestamp or not signature:\n        raise UnauthorizedError(\"Missing AK/SK authentication headers\")\n\n    return access_key, timestamp, signature\n\n\ndef get_aksk_config(tenant_id: str) -> Tuple[str, str]:\n    \"\"\"\n    Get (access_key, secret_key) configuration for a tenant.\n\n    This is intentionally a thin indirection so tests can monkeypatch it.\n    \"\"\"\n    raise UnauthorizedError(\"AK/SK authentication is not configured\")\n\n\ndef verify_aksk_signature(access_key: str, timestamp: str, signature: str, body: str, tenant_id: str = None) -> bool:\n    \"\"\"Verify AK/SK signature; returns False instead of raising on mismatch.\"\"\"\n    tenant = tenant_id or DEFAULT_TENANT_ID\n    try:\n        expected_access_key, secret_key = get_aksk_config(tenant)\n    except Exception:\n        return False\n\n    if access_key != expected_access_key:\n        return False\n\n    expected_sig = calculate_hmac_signature(secret_key, access_key, timestamp, body)\n    return hmac.compare_digest(expected_sig, signature)\n\n\ndef validate_aksk_authentication(headers: Dict[str, str], body: str, tenant_id: str = None) -> bool:\n    \"\"\"\n    Validate AK/SK authentication.\n\n    Returns True when valid, otherwise raises domain exceptions.\n    \"\"\"\n    from consts.exceptions import SignatureValidationError  # imported lazily for test-time stubbing\n\n    try:\n        access_key, ts, sig = extract_aksk_headers(headers)\n\n        if not validate_timestamp(ts):\n            raise UnauthorizedError(\"Invalid or expired timestamp\")\n\n        # Call with positional args so tests can monkeypatch with simple lambdas.\n        if tenant_id is None:\n            ok = verify_aksk_signature(access_key, ts, sig, body)\n        else:\n            ok = verify_aksk_signature(access_key, ts, sig, body, tenant_id)\n\n        if not ok:\n            raise SignatureValidationError(\"Invalid signature\")\n\n        return True\n    except (UnauthorizedError, SignatureValidationError):\n        raise\n    except Exception as exc:\n        logger.exception(\"Unexpected error during AK/SK authentication\")\n        raise UnauthorizedError(\"Authentication failed\") from exc\n\n# ---------------------------------------------------------------------------\n# Bearer Token (API Key) authentication\n# ---------------------------------------------------------------------------\n\n\ndef validate_bearer_token(authorization: Optional[str]) -> Tuple[bool, Optional[dict]]:\n    \"\"\"\n    Validate Bearer token (API Key) from Authorization header.\n\n    Args:\n        authorization: Authorization header value (e.g., \"Bearer nexent-xxxxx\")\n\n    Returns:\n        Tuple of (is_valid, token_info_dict)\n        - is_valid: True if token exists and is active\n        - token_info: Token information dict if valid, None otherwise\n    \"\"\"\n    if not authorization:\n        logger.warning(\"No authorization header provided\")\n        return False, None\n\n    # Extract token from \"Bearer <token>\" format\n    token = authorization.replace(\"Bearer \", \"\") if authorization.startswith(\"Bearer \") else authorization\n\n    if not token:\n        logger.warning(\"Empty bearer token\")\n        return False, None\n\n    # Look up token in database\n    try:\n        token_info = get_token_by_access_key(token)\n        if token_info and token_info.get(\"delete_flag\") != \"Y\":\n            logger.debug(f\"Token validated successfully for user {token_info.get('user_id')}\")\n            return True, token_info\n        else:\n            logger.warning(f\"Invalid or inactive token: {token[:20]}...\")\n            return False, None\n    except Exception as e:\n        logger.error(f\"Error validating bearer token: {str(e)}\")\n        return False, None\n\n\ndef get_user_and_tenant_by_access_key(access_key: str) -> Dict[str, str]:\n    \"\"\"\n    Get user_id and tenant_id from access_key by querying user_token_info_t and user_tenant_t.\n\n    Args:\n        access_key: The access key (API Key) from the Authorization header.\n\n    Returns:\n        Dict containing user_id and tenant_id.\n\n    Raises:\n        UnauthorizedError: If the access key is not found or invalid.\n    \"\"\"\n    if not access_key:\n        raise UnauthorizedError(\"Invalid access key\")\n\n    # Query token from user_token_info_t\n    token_info = get_token_by_access_key(access_key)\n    if not token_info or token_info.get(\"delete_flag\") == \"Y\":\n        raise UnauthorizedError(\"Invalid or inactive access key\")\n\n    user_id = token_info.get(\"user_id\")\n    if not user_id:\n        raise UnauthorizedError(\"No user associated with this access key\")\n\n    # Query tenant from user_tenant_t\n    user_tenant_record = get_user_tenant_by_user_id(user_id)\n    if user_tenant_record and user_tenant_record.get(\"tenant_id\"):\n        tenant_id = user_tenant_record[\"tenant_id\"]\n    else:\n        tenant_id = DEFAULT_TENANT_ID\n        logger.warning(f\"No tenant relationship found for user {user_id}, using default tenant\")\n\n    return {\n        \"user_id\": user_id,\n        \"tenant_id\": tenant_id,\n        \"token_id\": token_info.get(\"token_id\")\n    }\n\n\ndef get_supabase_client():\n    \"\"\"Get Supabase client instance with regular key (user-context operations).\"\"\"\n    try:\n        return create_client(SUPABASE_URL, SUPABASE_KEY)\n    except Exception as e:\n        logging.error(f\"Failed to create Supabase client: {str(e)}\")\n        return None\n\n\ndef get_supabase_admin_client():\n    \"\"\"Get Supabase client instance with service role key for admin operations.\"\"\"\n    try:\n        return create_client(SUPABASE_URL, SERVICE_ROLE_KEY)\n    except Exception as e:\n        logging.error(f\"Failed to create Supabase admin client: {str(e)}\")\n        return None\n\n\ndef get_jwt_expiry_seconds(token: str) -> int:\n    \"\"\"\n    Get expiration time from JWT token (seconds)\n\n    Args:\n        token: JWT token string\n\n    Returns:\n        int: Token validity period (seconds), returns default value 3600 if parsing fails\n    \"\"\"\n    try:\n        # Speed mode: treat sessions as never expiring\n        if IS_SPEED_MODE:\n            # 10 years in seconds\n            return 10 * 365 * 24 * 60 * 60\n        # Ensure token is pure JWT, remove possible Bearer prefix\n        jwt_token = token.replace(\n            \"Bearer \", \"\") if token.startswith(\"Bearer \") else token\n\n        # If debug expiration time is set, return directly for quick debugging\n        if DEBUG_JWT_EXPIRE_SECONDS > 0:\n            return DEBUG_JWT_EXPIRE_SECONDS\n\n        # Decode JWT token (without signature verification, only parse content)\n        decoded = jwt.decode(jwt_token, options={\"verify_signature\": False})\n\n        # Extract expiration time and issued time from JWT claims\n        exp = decoded.get(\"exp\", 0)\n        iat = decoded.get(\"iat\", 0)\n\n        # Calculate validity period (seconds)\n        expiry_seconds = exp - iat\n\n        return expiry_seconds\n    except Exception as e:\n        logging.warning(f\"Failed to get expiration time from token: {str(e)}\")\n        return 3600  # supabase default setting\n\n\ndef calculate_expires_at(token: Optional[str] = None) -> int:\n    \"\"\"\n    Calculate session expiration time (consistent with Supabase JWT expiration time)\n\n    Args:\n        token: Optional JWT token to get actual expiration time\n\n    Returns:\n        int: Expiration time timestamp\n    \"\"\"\n    # Speed mode: far future expiration\n    if IS_SPEED_MODE:\n        return int((datetime.now() + timedelta(days=3650)).timestamp())\n\n    expiry_seconds = get_jwt_expiry_seconds(token) if token else 3600\n    return int((datetime.now() + timedelta(seconds=expiry_seconds)).timestamp())\n\n\ndef _extract_user_id_from_jwt_token(authorization: str) -> Optional[str]:\n    \"\"\"\n    Extract user ID from JWT token after verifying signature and expiration.\n\n    Args:\n        authorization: Authorization header value\n\n    Returns:\n        Optional[str]: User ID, return None if parsing fails\n\n    Raises:\n        UnauthorizedError: If token is invalid, expired, or signature verification fails\n    \"\"\"\n    if not SUPABASE_JWT_SECRET:\n        logging.error(\"SUPABASE_JWT_SECRET (or JWT_SECRET) is not configured; cannot verify JWT\")\n        raise UnauthorizedError(\"JWT verification is not configured\")\n\n    try:\n        # Format authorization header\n        token = authorization.replace(\"Bearer \", \"\") if authorization.startswith(\n            \"Bearer \") else authorization\n\n        # Decode and verify JWT (signature + expiration)\n        # verify_aud=False: allow tokens with aud claim (e.g. test JWT, Supabase) without strict audience check\n        decoded = jwt.decode(\n            token,\n            SUPABASE_JWT_SECRET,\n            algorithms=[\"HS256\"],\n            options={\"verify_exp\": True, \"verify_aud\": False},\n        )\n\n        # Extract user ID from JWT claims\n        user_id = decoded.get(\"sub\")\n\n        return user_id\n    except jwt.ExpiredSignatureError:\n        logging.warning(\"Token expired\")\n        raise UnauthorizedError(\"Token has expired\")\n    except jwt.InvalidSignatureError:\n        logging.warning(\"JWT signature verification failed\")\n        raise UnauthorizedError(\"Invalid or expired authentication token\")\n    except jwt.InvalidTokenError as e:\n        logging.warning(f\"Invalid JWT: {e}\")\n        raise UnauthorizedError(\"Invalid or expired authentication token\")\n    except UnauthorizedError:\n        raise\n    except Exception as e:\n        logging.error(f\"Failed to extract user ID from token: {str(e)}\")\n        raise UnauthorizedError(\"Invalid or expired authentication token\")\n\n\ndef get_current_user_id(authorization: Optional[str] = None) -> tuple[str, str]:\n    \"\"\"\n    Get current user ID and tenant ID from authorization token\n\n    Args:\n        authorization: Authorization header value\n\n    Returns:\n        tuple[str, str]: (user_id, tenant_id)\n    \"\"\"\n    # In speed mode, allow unauthenticated access with default user for demo/dev\n    if IS_SPEED_MODE:\n        logging.debug(\n            \"Speed mode detected - returning default user ID and tenant ID\")\n        return DEFAULT_USER_ID, DEFAULT_TENANT_ID\n\n    # In normal mode, missing auth header means unauthorized - return 401, not default user\n    if authorization is None or (isinstance(authorization, str) and not authorization.strip()):\n        raise UnauthorizedError(\"No authorization header provided\")\n\n    try:\n        user_id = _extract_user_id_from_jwt_token(authorization)\n        if not user_id:\n            raise UnauthorizedError(\"Invalid or expired authentication token\")\n\n        user_tenant_record = get_user_tenant_by_user_id(user_id)\n        if user_tenant_record and user_tenant_record.get('tenant_id'):\n            tenant_id = user_tenant_record['tenant_id']\n            logging.debug(f\"Found tenant ID for user {user_id}: {tenant_id}\")\n        else:\n            tenant_id = DEFAULT_TENANT_ID\n            logging.warning(\n                f\"No tenant relationship found for user {user_id}, using default tenant\")\n\n        return user_id, tenant_id\n\n    except Exception as e:\n        logging.error(f\"Failed to get user ID and tenant ID: {str(e)}\")\n        raise UnauthorizedError(\"Invalid or expired authentication token\")\n\n\ndef get_user_language(request: Request = None) -> str:\n    \"\"\"\n    Get user language preference from request\n\n    Args:\n        request: FastAPI request object, used to get cookie\n\n    Returns:\n        str: Language code ('zh' or 'en'), default to 'zh'\n    \"\"\"\n    default_language = LANGUAGE[\"ZH\"]\n\n    # Read language setting from cookie\n    if request:\n        try:\n            if hasattr(request, 'cookies') and request.cookies:\n                cookie_locale = request.cookies.get('NEXT_LOCALE')\n                if cookie_locale and cookie_locale in [LANGUAGE[\"ZH\"], LANGUAGE[\"EN\"]]:\n                    return cookie_locale\n        except (AttributeError, TypeError) as e:\n            logging.warning(f\"Error reading language from cookies: {e}\")\n\n    return default_language\n\n\n# ---------------------------------------------------------------------------\n# Simple JWT helpers for tests and tooling\n# ---------------------------------------------------------------------------\n\ndef generate_test_jwt(user_id: str, expires_in: int = 3600) -> str:\n    \"\"\"\n    Generate a simple unsigned JWT for testing purposes (HS256 with dummy secret)\n    \"\"\"\n    now = int(time.time())\n    payload = {\n        \"sub\": user_id,\n        \"iat\": now,\n        \"exp\": now + expires_in,\n        \"iss\": \"nexent-test\",\n        \"aud\": \"nexent-api\",\n    }\n    # Use a fixed test secret to avoid external dependencies in tests\n    return jwt.encode(payload, MOCK_JWT_SECRET_KEY, algorithm=\"HS256\")\n\n\ndef get_current_user_info(authorization: Optional[str] = None, request: Request = None) -> tuple[str, str, str]:\n    \"\"\"\n    Get current user information, including user ID, tenant ID, and language preference\n\n    Args:\n        authorization: Authorization header value\n        request: FastAPI request object\n\n    Returns:\n        tuple[str, str, str]: (User ID, Tenant ID, Language code)\n    \"\"\"\n    user_id, tenant_id = get_current_user_id(authorization)\n    language = get_user_language(request)\n    return user_id, tenant_id, language\n"
  },
  {
    "path": "backend/utils/config_utils.py",
    "content": "import json\nimport logging\nfrom typing import Dict, Any\n\nfrom sqlalchemy.sql import func\n\nfrom database.model_management_db import get_model_by_model_id\nfrom database.tenant_config_db import (\n    delete_config_by_tenant_config_id,\n    get_all_configs_by_tenant_id,\n    get_single_config_info,\n    insert_config,\n    update_config_by_tenant_config_id_and_data,\n)\n\nlogger = logging.getLogger(\"config_utils\")\n\n\ndef safe_value(value):\n    \"\"\"Helper function for processing configuration values\"\"\"\n    if value is None:\n        return \"\"\n    return str(value)\n\n\ndef safe_list(value):\n    \"\"\"Helper function for processing list values, using JSON format for storage to facilitate parsing\"\"\"\n    if not value:\n        return \"[]\"\n    return json.dumps(value)\n\n\ndef get_env_key(key: str) -> str:\n    \"\"\"Helper function for generating environment variable key names\"\"\"\n    # Convert camelCase to snake_case format\n    import re\n    s1 = re.sub('(.)([A-Z][a-z]+)', r'\\1_\\2', key)\n    return re.sub('([a-z0-9])([A-Z])', r'\\1_\\2', s1).upper()\n\n\ndef get_model_name_from_config(model_config: Dict[str, Any]) -> str:\n    \"\"\"Get model name from model id\"\"\"\n    if model_config is None:\n        return \"\"\n    model_repo = model_config[\"model_repo\"]\n    model_name = model_config[\"model_name\"]\n    if not model_repo:\n        return model_name\n    return f\"{model_repo}/{model_name}\"\n\n\nclass TenantConfigManager:\n    \"\"\"Tenant configuration manager that reads configurations from the database on demand.\"\"\"\n\n    def load_config(self, tenant_id: str, force_reload: bool = False):\n        \"\"\"Load configuration from database and update cache\n\n        Args:\n            tenant_id (str): The tenant ID to load configurations for\n            force_reload (bool): Force reload from database ignoring cache\n\n        Returns:\n            dict: The current configuration cache for the tenant\n        \"\"\"\n        # Check if tenant_id is valid\n        if not tenant_id:\n            logger.warning(\"Invalid tenant ID provided\")\n            return {}\n\n        # Always load latest configurations directly from DB (no in-process cache).\n        configs = get_all_configs_by_tenant_id(tenant_id)\n\n        if not configs:\n            logger.info(f\"No configurations found for tenant {tenant_id}\")\n            return {}\n\n        tenant_configs = {}\n        for config in configs:\n            tenant_configs[config[\"config_key\"]] = config[\"config_value\"]\n\n        return tenant_configs\n\n    def get_model_config(self, key: str, default=None, tenant_id: str | None = None):\n        if default is None:\n            default = {}\n        if tenant_id is None:\n            logger.warning(\n                f\"No tenant_id specified when getting config for key: {key}\")\n            return default\n        tenant_config = self.load_config(tenant_id)\n\n        if key in tenant_config:\n            model_id = tenant_config[key]\n            if not model_id:  # Check if model_id is empty\n                return default\n            try:\n                model_config = get_model_by_model_id(\n                    model_id=int(model_id), tenant_id=tenant_id)\n                return model_config if model_config else default\n            except (ValueError, TypeError):\n                logger.warning(f\"Invalid model_id format: {model_id}\")\n                return default\n        return default\n\n    def get_app_config(self, key: str, default=\"\", tenant_id: str | None = None):\n        if tenant_id is None:\n            logger.warning(\n                f\"No tenant_id specified when getting config for key: {key}\")\n            return default\n        tenant_config = self.load_config(tenant_id)\n        if key in tenant_config:\n            return tenant_config[key]\n        return default\n\n    def set_single_config(self, user_id: str | None = None, tenant_id: str | None = None, key: str | None = None,\n                          value: str | None = None, ):\n        \"\"\"Set configuration value in database with caching\"\"\"\n        if tenant_id is None:\n            logger.warning(\n                f\"No tenant_id specified when setting config for key: {key}\")\n            return\n\n        insert_data = {\n            \"user_id\": user_id,\n            \"tenant_id\": tenant_id,\n            \"config_key\": key,\n            \"value_type\": \"single\",\n            \"config_value\": value if value else \"\",\n            \"delete_flag\": \"N\",\n            \"created_by\": tenant_id,\n            \"updated_by\": tenant_id,\n            \"create_time\": func.current_timestamp(),\n        }\n\n        insert_config(insert_data)\n\n    def delete_single_config(self, tenant_id: str | None = None, key: str | None = None, ):\n        \"\"\"Delete configuration value in database\"\"\"\n        if tenant_id is None:\n            logger.warning(\n                f\"No tenant_id specified when deleting config for key: {key}\")\n            return\n\n        existing_config = get_single_config_info(tenant_id, key)\n        if existing_config:\n            delete_config_by_tenant_config_id(\n                existing_config[\"tenant_config_id\"])\n            return\n\n    def update_single_config(self, tenant_id: str | None = None, key: str | None = None):\n        \"\"\"Update configuration value in database\"\"\"\n        if tenant_id is None:\n            logger.warning(\n                f\"No tenant_id specified when updating config for key: {key}\")\n            return\n\n        existing_config = get_single_config_info(tenant_id, key)\n        if existing_config:\n            update_data = {\n                \"updated_by\": tenant_id,\n                \"update_time\": func.current_timestamp()\n            }\n            update_config_by_tenant_config_id_and_data(\n                existing_config[\"tenant_config_id\"], update_data)\n            return\n\n\ntenant_config_manager = TenantConfigManager()\n"
  },
  {
    "path": "backend/utils/document_vector_utils.py",
    "content": "\"\"\"\nDocument Vector Utilities Module\n\nThis module provides utilities for document-level vector operations and clustering.\nMain features:\n1. Document-level vector calculation (weighted average of chunk vectors)\n2. Automatic K-means clustering with optimal K determination\n3. Document grouping and classification\n4. Cluster summarization\n\"\"\"\nimport logging\nimport random\nfrom typing import Dict, List, Optional, Tuple\n\nimport numpy as np\nfrom jinja2 import Template, StrictUndefined\nfrom sklearn.cluster import KMeans\nfrom sklearn.metrics import silhouette_score\nfrom sklearn.metrics.pairwise import cosine_similarity\n\nfrom consts.const import LANGUAGE\nfrom database.model_management_db import get_model_by_model_id\nfrom nexent.core.utils.observer import MessageObserver\nfrom nexent.core.models import OpenAIModel\nfrom nexent.vector_database.base import VectorDatabaseCore\nfrom utils.llm_utils import call_llm_for_system_prompt\nfrom utils.prompt_template_utils import (\n    get_document_summary_prompt_template,\n    get_cluster_summary_reduce_prompt_template\n)\n\nlogger = logging.getLogger(\"document_vector_utils\")\n\n\ndef get_documents_from_es(index_name: str, vdb_core: VectorDatabaseCore, sample_doc_count: int = 200) -> Dict[str, Dict]:\n    \"\"\"\n    Get document samples from Elasticsearch, aggregated by path_or_url\n    \n    Args:\n        index_name: Name of the index to query\n        vdb_core: VectorDatabaseCore instance\n        sample_doc_count: Number of documents to sample\n        \n    Returns:\n        Dictionary mapping document IDs to document information with chunks\n    \"\"\"\n    try:\n        # Step 1: Aggregate unique documents by path_or_url\n        agg_query = {\n            \"size\": 0,\n            \"aggs\": {\n                \"unique_documents\": {\n                    \"terms\": {\n                        \"field\": \"path_or_url\",\n                        \"size\": 10000  # Get all unique documents\n                    }\n                }\n            }\n        }\n        \n        logger.info(f\"Fetching unique documents from index {index_name}\")\n        agg_response = vdb_core.search(index_name=index_name, query=agg_query)\n        all_documents = agg_response['aggregations']['unique_documents']['buckets']\n        \n        if not all_documents:\n            logger.warning(f\"No documents found in index {index_name}\")\n            return {}\n        \n        # Step 2: Random sample documents\n        sample_count = min(sample_doc_count, len(all_documents))\n        # Ensure all_documents is a list for random.sample\n        if not isinstance(all_documents, list):\n            all_documents = list(all_documents)\n        sampled_docs = random.sample(all_documents, sample_count)\n        \n        logger.info(f\"Sampled {sample_count} documents from {len(all_documents)} total documents\")\n        \n        # Step 3: Get all chunks for each sampled document\n        document_samples = {}\n        for doc_bucket in sampled_docs:\n            path_or_url = doc_bucket['key']\n            chunk_count = doc_bucket['doc_count']\n            \n            # Get all chunks for this document\n            chunks_query = {\n                \"query\": {\n                    \"term\": {\"path_or_url\": path_or_url}\n                },\n                \"size\": chunk_count,  # Get all chunks\n                \"sort\": [\n                    {\n                        \"create_time\": {\n                            \"order\": \"asc\",\n                            \"missing\": \"_last\"  # Put documents without create_time at the end\n                        }\n                    }\n                ]\n            }\n            \n            chunks_response = vdb_core.search(index_name=index_name, query=chunks_query)\n            chunks = [hit['_source'] for hit in chunks_response['hits']['hits']]\n            \n            # Build document object\n            if chunks:\n                doc_id = f\"doc_{len(document_samples):04d}\"\n                document_samples[doc_id] = {\n                    \"doc_id\": doc_id,\n                    \"path_or_url\": path_or_url,\n                    \"filename\": chunks[0].get('filename', 'unknown'),\n                    \"chunk_count\": chunk_count,\n                    \"chunks\": chunks,\n                    \"file_size\": chunks[0].get('file_size', 0)\n                }\n        \n        logger.info(f\"Successfully retrieved {len(document_samples)} documents with chunks\")\n        return document_samples\n        \n    except Exception as e:\n        logger.error(f\"Error retrieving documents from ES: {str(e)}\", exc_info=True)\n        raise Exception(f\"Failed to retrieve documents from Elasticsearch: {str(e)}\")\n\n\ndef calculate_document_embedding(doc_chunks: List[Dict], use_weighted: bool = True) -> Optional[np.ndarray]:\n    \"\"\"\n    Calculate document-level embedding from chunk embeddings\n    \n    Args:\n        doc_chunks: List of chunk dictionaries containing 'embedding' and 'content' fields\n        use_weighted: Whether to use weighted average based on content length\n        \n    Returns:\n        Document-level embedding vector or None if no valid embeddings found\n    \"\"\"\n    try:\n        embeddings = []\n        weights = []\n        \n        for chunk in doc_chunks:\n            chunk_embedding = chunk.get('embedding')\n            if chunk_embedding and isinstance(chunk_embedding, list):\n                embeddings.append(np.array(chunk_embedding))\n                \n                if use_weighted:\n                    # Weight by content length only (removed position-based weight to reduce order dependency)\n                    content_length = len(chunk.get('content', ''))\n                    weight = content_length\n                    weights.append(weight)\n        \n        if not embeddings:\n            logger.warning(\"No valid embeddings found in chunks\")\n            return None\n        \n        # Convert to numpy array\n        embeddings_array = np.array(embeddings)\n        \n        if use_weighted and weights:\n            # Weighted average\n            total_weight = sum(weights)\n            weights_normalized = np.array(weights) / total_weight\n            doc_embedding = np.average(embeddings_array, axis=0, weights=weights_normalized)\n        else:\n            # Simple average\n            doc_embedding = np.mean(embeddings_array, axis=0)\n        \n        return doc_embedding\n        \n    except Exception as e:\n        logger.error(f\"Error calculating document embedding: {str(e)}\", exc_info=True)\n        return None\n\n\ndef auto_determine_k(embeddings: np.ndarray, min_k: int = 3, max_k: int = 15) -> int:\n    \"\"\"\n    Automatically determine optimal K value for K-means clustering\n    \n    Args:\n        embeddings: Array of document embeddings\n        min_k: Minimum number of clusters\n        max_k: Maximum number of clusters\n        \n    Returns:\n        Optimal K value\n    \"\"\"\n    try:\n        n_samples = len(embeddings)\n        \n        # Handle edge cases\n        if n_samples < min_k:\n            return max(2, n_samples)\n        \n        if n_samples < 20:\n            # For small datasets, use simple heuristic\n            heuristic_k = max(min_k, min(int(np.sqrt(n_samples / 2)), max_k))\n            return heuristic_k\n        \n        # Determine K range based on dataset size\n        actual_max_k = min(max_k, n_samples // 10, 15)  # At least 10 samples per cluster\n        actual_min_k = min(min_k, actual_max_k)\n        \n        # Try different K values and calculate silhouette score\n        best_k = actual_min_k\n        best_score = -1\n        \n        k_range = range(actual_min_k, actual_max_k + 1)\n        logger.info(f\"Trying K values from {actual_min_k} to {actual_max_k}\")\n        \n        for k in k_range:\n            try:\n                kmeans = KMeans(n_clusters=k, random_state=42, n_init=10, max_iter=300)\n                labels = kmeans.fit_predict(embeddings)\n                \n                # Calculate silhouette score\n                score = silhouette_score(embeddings, labels, sample_size=min(1000, n_samples))\n                \n                logger.debug(f\"K={k}, Silhouette Score={score:.4f}\")\n                \n                if score > best_score:\n                    best_score = score\n                    best_k = k\n                    \n            except Exception as e:\n                logger.warning(f\"Error calculating K={k}: {str(e)}\")\n                continue\n        \n        logger.info(f\"Optimal K determined: {best_k} (Silhouette Score: {best_score:.4f})\")\n        return best_k\n        \n    except Exception as e:\n        logger.error(f\"Error in auto_determine_k: {str(e)}\", exc_info=True)\n        # Fallback to heuristic\n        heuristic_k = max(min_k, min(int(np.sqrt(len(embeddings) / 2)), max_k))\n        logger.warning(f\"Using fallback K value: {heuristic_k}\")\n        return heuristic_k\n\n\ndef merge_duplicate_documents_in_clusters(clusters: Dict[int, List[str]], doc_embeddings: Dict[str, np.ndarray], similarity_threshold: float = 0.98) -> Dict[int, List[str]]:\n    \"\"\"\n    Post-process clusters to merge duplicate documents (same content but different path_or_url)\n    that were incorrectly split into different clusters.\n    \n    Args:\n        clusters: Dictionary mapping cluster IDs to lists of document IDs\n        doc_embeddings: Dictionary mapping document IDs to their embeddings\n        similarity_threshold: Cosine similarity threshold to consider documents as duplicates (default: 0.98)\n        \n    Returns:\n        Updated clusters dictionary with duplicate documents merged\n    \"\"\"\n    try:\n        if not clusters or not doc_embeddings:\n            return clusters\n        \n        # Skip merging if there's only one cluster (nothing to merge)\n        if len(clusters) <= 1:\n            return clusters\n        \n        # Build a mapping from doc_id to its current cluster\n        doc_to_cluster = {}\n        for cluster_id, doc_ids in clusters.items():\n            for doc_id in doc_ids:\n                doc_to_cluster[doc_id] = cluster_id\n        \n        # Find duplicate pairs with high similarity\n        doc_ids_list = list(doc_embeddings.keys())\n        merged_pairs = []\n        \n        for i, doc_id1 in enumerate(doc_ids_list):\n            if doc_id1 not in doc_embeddings:\n                continue\n            \n            embedding1 = doc_embeddings[doc_id1]\n            \n            for j, doc_id2 in enumerate(doc_ids_list[i+1:], start=i+1):\n                if doc_id2 not in doc_embeddings:\n                    continue\n                \n                embedding2 = doc_embeddings[doc_id2]\n                \n                # Calculate cosine similarity\n                similarity = cosine_similarity(\n                    embedding1.reshape(1, -1),\n                    embedding2.reshape(1, -1)\n                )[0][0]\n                \n                # If similarity is very high, they are likely duplicates\n                if similarity >= similarity_threshold:\n                    cluster1 = doc_to_cluster.get(doc_id1)\n                    cluster2 = doc_to_cluster.get(doc_id2)\n                    \n                    # Only merge if they are in different clusters AND truly duplicates\n                    # Check both cosine similarity AND Euclidean distance to prevent false positives\n                    if cluster1 is not None and cluster2 is not None and cluster1 != cluster2:\n                        # Calculate Euclidean distance to ensure they're truly duplicates\n                        # Documents that are just in the same direction but far apart should not be merged\n                        euclidean_distance = np.linalg.norm(embedding1 - embedding2)\n                        \n                        # Normalize embeddings to get their magnitudes\n                        norm1 = np.linalg.norm(embedding1)\n                        norm2 = np.linalg.norm(embedding2)\n                        avg_norm = (norm1 + norm2) / 2.0\n                        \n                        # Relative distance threshold: if distance is less than 1% of average magnitude,\n                        # they are likely true duplicates (same content, different path_or_url)\n                        # This prevents merging documents that are just in similar directions\n                        relative_distance_threshold = 0.01 * avg_norm if avg_norm > 0 else 0.1\n                        \n                        if euclidean_distance <= relative_distance_threshold:\n                            merged_pairs.append((doc_id1, doc_id2, cluster1, cluster2, similarity))\n                            logger.info(f\"Found duplicate documents: {doc_id1} and {doc_id2} (similarity: {similarity:.4f}, distance: {euclidean_distance:.4f}) in different clusters {cluster1} and {cluster2}\")\n        \n        # Merge duplicate documents into the same cluster\n        if merged_pairs:\n            logger.info(f\"Merging {len(merged_pairs)} pairs of duplicate documents\")\n            \n            # Build a graph of duplicate relationships using union-find\n            parent = {}\n            \n            def find(x):\n                if x not in parent:\n                    parent[x] = x\n                if parent[x] != x:\n                    parent[x] = find(parent[x])\n                return parent[x]\n            \n            def union(x, y):\n                px, py = find(x), find(y)\n                if px != py:\n                    parent[px] = py\n            \n            # Build union-find structure\n            for doc_id1, doc_id2, _, _, _ in merged_pairs:\n                union(doc_id1, doc_id2)\n            \n            # Group documents by their root parent\n            # Only include documents that are part of duplicate pairs\n            duplicate_doc_ids = set()\n            for doc_id1, doc_id2, _, _, _ in merged_pairs:\n                duplicate_doc_ids.add(doc_id1)\n                duplicate_doc_ids.add(doc_id2)\n            \n            groups = {}\n            for doc_id in duplicate_doc_ids:\n                root = find(doc_id)\n                if root not in groups:\n                    groups[root] = []\n                groups[root].append(doc_id)\n            \n            # Merge each group into the same cluster\n            for root, doc_group in groups.items():\n                if len(doc_group) < 2:\n                    continue\n                \n                # Find all clusters containing documents in this group\n                clusters_in_group = set()\n                for doc_id in doc_group:\n                    if doc_id in doc_to_cluster:\n                        clusters_in_group.add(doc_to_cluster[doc_id])\n                \n                if len(clusters_in_group) > 1:\n                    # Merge all documents to the smallest cluster ID\n                    target_cluster = min(clusters_in_group)\n                    \n                    for doc_id in doc_group:\n                        current_cluster = doc_to_cluster.get(doc_id)\n                        if current_cluster is not None and current_cluster != target_cluster:\n                            # Move document to target cluster\n                            if current_cluster in clusters and doc_id in clusters[current_cluster]:\n                                clusters[current_cluster].remove(doc_id)\n                            if target_cluster not in clusters:\n                                clusters[target_cluster] = []\n                            if doc_id not in clusters[target_cluster]:\n                                clusters[target_cluster].append(doc_id)\n                            doc_to_cluster[doc_id] = target_cluster\n                            logger.debug(f\"Moved {doc_id} from cluster {current_cluster} to cluster {target_cluster}\")\n            \n            # Remove empty clusters\n            empty_clusters = [cid for cid, docs in clusters.items() if not docs]\n            for cid in empty_clusters:\n                del clusters[cid]\n                logger.debug(f\"Removed empty cluster {cid}\")\n            \n            logger.info(f\"Successfully merged duplicate documents. Final cluster count: {len(clusters)}\")\n        \n        return clusters\n        \n    except Exception as e:\n        logger.error(f\"Error merging duplicate documents: {str(e)}\", exc_info=True)\n        # Return original clusters if merge fails\n        return clusters\n\n\ndef kmeans_cluster_documents(doc_embeddings: Dict[str, np.ndarray], k: Optional[int] = None) -> Dict[int, List[str]]:\n    \"\"\"\n    Cluster documents using K-means\n    \n    Args:\n        doc_embeddings: Dictionary mapping document IDs to their embeddings\n        k: Number of clusters (if None, auto-determined)\n        \n    Returns:\n        Dictionary mapping cluster IDs to lists of document IDs\n    \"\"\"\n    try:\n        if not doc_embeddings:\n            logger.warning(\"No document embeddings provided\")\n            return {}\n        \n        # Prepare embeddings array\n        doc_ids = list(doc_embeddings.keys())\n        embeddings_array = np.array([doc_embeddings[doc_id] for doc_id in doc_ids])\n        \n        # Handle single document case\n        if len(doc_ids) == 1:\n            logger.info(\"Only one document found, skipping clustering\")\n            return {0: doc_ids}\n        \n        # Determine K value\n        if k is None:\n            k = auto_determine_k(embeddings_array)\n        \n        # Ensure k is not greater than number of documents\n        k = min(k, len(doc_ids))\n        \n        logger.info(f\"Clustering {len(doc_ids)} documents into {k} clusters\")\n        \n        # Perform K-means clustering\n        kmeans = KMeans(n_clusters=k, random_state=42, n_init=10, max_iter=300)\n        labels = kmeans.fit_predict(embeddings_array)\n        \n        # Group documents by cluster\n        clusters = {}\n        for i, label in enumerate(labels):\n            if label not in clusters:\n                clusters[label] = []\n            clusters[label].append(doc_ids[i])\n        \n        # Log cluster sizes\n        for cluster_id, docs in clusters.items():\n            logger.info(f\"Cluster {cluster_id}: {len(docs)} documents\")\n        \n        # Post-process: merge duplicate documents that were split into different clusters\n        clusters = merge_duplicate_documents_in_clusters(clusters, doc_embeddings, similarity_threshold=0.98)\n        \n        # Log final cluster sizes after merge\n        for cluster_id, docs in clusters.items():\n            logger.info(f\"Final cluster {cluster_id}: {len(docs)} documents\")\n        \n        return clusters\n        \n    except Exception as e:\n        logger.error(f\"Error in K-means clustering: {str(e)}\", exc_info=True)\n        raise Exception(f\"Failed to cluster documents: {str(e)}\")\n\n\ndef process_documents_for_clustering(index_name: str, vdb_core, sample_doc_count: int = 200) -> Tuple[Dict[str, Dict], Dict[str, np.ndarray]]:\n    \"\"\"\n    Complete workflow: Get documents from ES and calculate their embeddings\n    \n    Args:\n        index_name: Name of the index to query\n        vdb_core: ElasticSearchCore instance\n        sample_doc_count: Number of documents to sample\n        \n    Returns:\n        Tuple of (document_samples dict, doc_embeddings dict)\n    \"\"\"\n    try:\n        # Step 1: Get documents from ES\n        document_samples = get_documents_from_es(index_name, vdb_core, sample_doc_count)\n        \n        if not document_samples:\n            logger.warning(\"No documents retrieved from ES\")\n            return {}, {}\n        \n        # Step 2: Calculate document-level embeddings\n        doc_embeddings = {}\n        for doc_id, doc_info in document_samples.items():\n            chunks = doc_info['chunks']\n            doc_embedding = calculate_document_embedding(chunks, use_weighted=True)\n            \n            if doc_embedding is not None:\n                doc_embeddings[doc_id] = doc_embedding\n            else:\n                logger.warning(f\"Failed to calculate embedding for document {doc_id}\")\n        \n        logger.info(f\"Successfully calculated embeddings for {len(doc_embeddings)} documents\")\n        return document_samples, doc_embeddings\n        \n    except Exception as e:\n        logger.error(f\"Error processing documents for clustering: {str(e)}\", exc_info=True)\n        raise Exception(f\"Failed to process documents: {str(e)}\")\n\n\ndef summarize_document(document_content: str, filename: str, language: str = LANGUAGE[\"ZH\"], max_words: int = 100, model_id: Optional[int] = None, tenant_id: Optional[str] = None) -> str:\n    \"\"\"\n    Summarize a single document using LLM (Map stage)\n    \n    Args:\n        document_content: Formatted content from document chunks\n        filename: Document filename\n        language: Language code ('zh' or 'en')\n        max_words: Maximum words in the summary\n        model_id: Model ID for LLM call\n        tenant_id: Tenant ID for model configuration\n        \n    Returns:\n        Document summary text\n    \"\"\"\n    try:\n        # Get prompt template from prompt_template_utils\n        prompts = get_document_summary_prompt_template(language)\n        \n        system_prompt = prompts.get('system_prompt', '')\n        user_prompt_template = prompts.get('user_prompt', '')\n        \n        user_prompt = Template(user_prompt_template, undefined=StrictUndefined).render(\n            filename=filename,\n            content=document_content,\n            max_words=max_words\n        )\n        \n        logger.info(f\"Document summary prompt generated for {filename} (max_words: {max_words})\")\n        \n        # Call LLM if model_id and tenant_id are provided\n        if model_id and tenant_id:\n\n            # Get model configuration\n            llm_model_config = get_model_by_model_id(model_id=model_id, tenant_id=tenant_id)\n            if not llm_model_config:\n                logger.warning(f\"No model configuration found for model_id: {model_id}, tenant_id: {tenant_id}\")\n                return f\"[Document Summary: {filename}] (max {max_words} words) - Content: {document_content[:200]}...\"\n\n            document_summary = call_llm_for_system_prompt(\n                model_id=model_id,\n                user_prompt=user_prompt,\n                system_prompt=system_prompt,\n                callback=None,\n                tenant_id=tenant_id\n            )\n\n            return (document_summary or \"\").strip()\n        else:\n            # Fallback to placeholder if no model configuration\n            logger.warning(\"No model_id or tenant_id provided, using placeholder summary\")\n            return f\"[Document Summary: {filename}] (max {max_words} words) - Content: {document_content[:200]}...\"\n        \n    except Exception as e:\n        logger.error(f\"Error generating document summary: {str(e)}\", exc_info=True)\n        return f\"Failed to generate summary for {filename}: {str(e)}\"\n\n\ndef summarize_cluster(document_summaries: List[str], language: str = LANGUAGE[\"ZH\"], max_words: int = 150, model_id: Optional[int] = None, tenant_id: Optional[str] = None) -> str:\n    \"\"\"\n    Summarize a cluster of documents using LLM (Reduce stage)\n    \n    Args:\n        document_summaries: List of individual document summaries\n        language: Language code ('zh' or 'en')\n        max_words: Maximum words in the summary\n        model_id: Model ID for LLM call\n        tenant_id: Tenant ID for model configuration\n        \n    Returns:\n        Cluster summary text\n    \"\"\"\n    try:\n        # Get prompt template from prompt_template_utils\n        prompts = get_cluster_summary_reduce_prompt_template(language)\n        \n        system_prompt = prompts.get('system_prompt', '')\n        user_prompt_template = prompts.get('user_prompt', '')\n        \n        # Format document summaries\n        summaries_text = \"\\n\\n\".join([f\"Document {i+1}: {summary}\" for i, summary in enumerate(document_summaries)])\n        \n        user_prompt = Template(user_prompt_template, undefined=StrictUndefined).render(\n            document_summaries=summaries_text,\n            max_words=max_words\n        )\n        \n        logger.info(f\"Cluster summary prompt generated (language: {language}, max_words: {max_words})\")\n        \n        # Call LLM if model_id and tenant_id are provided\n        if model_id and tenant_id:\n            \n            # Get model configuration\n            llm_model_config = get_model_by_model_id(model_id=model_id, tenant_id=tenant_id)\n            if not llm_model_config:\n                logger.warning(f\"No model configuration found for model_id: {model_id}, tenant_id: {tenant_id}\")\n                return f\"[Cluster Summary] (max {max_words} words) - Based on {len(document_summaries)} documents\"\n            \n            # Create LLM instance\n            cluster_summary = call_llm_for_system_prompt(\n                model_id=model_id,\n                user_prompt=user_prompt,\n                system_prompt=system_prompt,\n                callback=None,\n                tenant_id=tenant_id\n            )\n\n            return (cluster_summary or \"\").strip()\n        else:\n            # Fallback to placeholder if no model configuration\n            logger.warning(\"No model_id or tenant_id provided, using placeholder summary\")\n            return f\"[Cluster Summary] (max {max_words} words) - Based on {len(document_summaries)} documents\"\n        \n    except Exception as e:\n        logger.error(f\"Error generating cluster summary: {str(e)}\", exc_info=True)\n        return f\"Failed to generate summary: {str(e)}\"\n\n\ndef extract_representative_chunks_smart(chunks: List[Dict], max_chunks: int = 3) -> List[Dict]:\n    \"\"\"\n    Intelligently extract representative chunks from a document\n    \n    Strategy:\n    1. Always include first chunk (usually contains title/abstract)\n    2. Extract chunks with highest keyword density (important content)\n    3. Include last chunk if significant (may contain conclusions)\n    \n    Args:\n        chunks: List of chunk dictionaries with 'content' field\n        max_chunks: Maximum number of chunks to return\n        \n    Returns:\n        List of representative chunks\n    \"\"\"\n    if len(chunks) <= max_chunks:\n        return chunks\n    \n    selected_chunks = []\n    \n    # 1. Always include first chunk\n    selected_chunks.append(chunks[0])\n    \n    # 2. Find chunks with high keyword density\n    try:\n        from nexent.core.nlp.tokenizer import calculate_term_weights\n    except ImportError:\n        # Fallback: use simple scoring\n        logger.warning(\"Could not import calculate_term_weights, using simple scoring\")\n        # Simple fallback: just pick middle chunks\n        if len(chunks) > 1:\n            selected_chunks.append(chunks[len(chunks)//2])\n        if len(selected_chunks) < max_chunks and len(chunks) > 2:\n            selected_chunks.append(chunks[-1])\n        return selected_chunks[:max_chunks]\n    \n    chunk_scores = []\n    for i, chunk in enumerate(chunks[1:-1]):  # Skip first and last\n        content = chunk.get('content', '')\n        if len(content) > 500:\n            # Calculate keyword density (use first 500 chars for speed)\n            keywords = calculate_term_weights(content[:500])\n            score = len(keywords) * 0.5 + len(content) * 0.001  # Balance keyword count and length\n            chunk_scores.append((i + 1, score, chunk))\n    \n    # Sort by score and pick top chunks\n    chunk_scores.sort(key=lambda x: x[1], reverse=True)\n    remaining_slots = max_chunks - 1  # Already have first chunk\n    \n    for idx, score, chunk in chunk_scores[:remaining_slots]:\n        selected_chunks.append(chunk)\n    \n    # 3. If we have space, include last chunk\n    if len(selected_chunks) < max_chunks and len(chunks) > 1:\n        selected_chunks.append(chunks[-1])\n    \n    return selected_chunks[:max_chunks]\n\n\ndef merge_cluster_summaries(cluster_summaries: Dict[int, str]) -> str:\n    \"\"\"\n    Merge all cluster summaries into a final knowledge base summary\n    \n    Args:\n        cluster_summaries: Dictionary mapping cluster_id to cluster summary\n        \n    Returns:\n        Final merged knowledge base summary\n    \"\"\"\n    if not cluster_summaries:\n        return \"\"\n    \n    # Sort by cluster ID for consistent output\n    sorted_clusters = sorted(cluster_summaries.items())\n    \n    # Format cluster summaries with HTML paragraph tags for explicit rendering\n    summary_parts = []\n    for _, summary in sorted_clusters:\n        if summary.strip():\n            # Wrap each summary in <p> tags for explicit paragraph rendering\n            summary_parts.append(f\"<p>{summary.strip()}</p>\")\n    \n    # Join with simple double newlines, as <p> tags already handle block-level separation\n    final_summary = \"\\n\\n\".join(summary_parts)\n    \n    logger.info(f\"Merged {len(cluster_summaries)} cluster summaries into final knowledge base summary\")\n    return final_summary\n\n\ndef analyze_cluster_coherence(cluster_doc_ids: List[str], document_samples: Dict[str, Dict]) -> Dict[str, any]:\n    \"\"\"\n    Analyze coherence and structure of documents within a cluster\n    \n    Returns:\n        Dict with analysis results including common themes, document types, etc.\n    \"\"\"\n    if not cluster_doc_ids:\n        return {}\n    \n    # Extract document titles and content previews\n    doc_previews = []\n    for doc_id in cluster_doc_ids:\n        if doc_id in document_samples:\n            doc_info = document_samples[doc_id]\n            filename = doc_info.get('filename', 'unknown')\n            chunks = doc_info.get('chunks', [])\n            if chunks:\n                first_chunk = chunks[0].get('content', '')[:200]\n                doc_previews.append({'filename': filename, 'preview': first_chunk})\n    \n    return {\n        'doc_count': len(cluster_doc_ids),\n        'doc_previews': doc_previews,\n        'file_types': [doc['filename'].split('.')[-1] for doc in doc_previews if '.' in doc['filename']]\n    }\n\n\ndef summarize_clusters_map_reduce(document_samples: Dict[str, Dict], clusters: Dict[int, List[str]], \n                                  language: str = LANGUAGE[\"ZH\"], doc_max_words: int = 100, cluster_max_words: int = 150,\n                                  use_smart_chunk_selection: bool = True, enhance_with_metadata: bool = True,\n                                  model_id: Optional[int] = None, tenant_id: Optional[str] = None) -> Dict[int, str]:\n    \"\"\"\n    Summarize all clusters using Map-Reduce approach\n    \n    Map stage: Summarize each document individually (within each cluster)\n    Reduce stage: Combine document summaries within the same cluster into a cluster summary\n    Note: Clusters remain separate - we combine document summaries WITHIN each cluster\n    \n    Args:\n        document_samples: Dictionary mapping doc_id to document info\n        clusters: Dictionary mapping cluster_id to list of doc_ids\n        language: Language code ('zh' or 'en')\n        doc_max_words: Maximum words per document summary\n        cluster_max_words: Maximum words per cluster summary\n        use_smart_chunk_selection: Use intelligent chunk selection based on keyword density\n        enhance_with_metadata: Enhance summaries with document metadata\n        model_id: Model ID for LLM calls\n        tenant_id: Tenant ID for model configuration\n        \n    Returns:\n        Dictionary mapping cluster_id to summary text\n    \"\"\"\n    cluster_summaries = {}\n    \n    for cluster_id, doc_ids in clusters.items():\n        logger.info(f\"Summarizing cluster {cluster_id} with {len(doc_ids)} documents using Map-Reduce\")\n        \n        # Map stage: Summarize each document\n        document_summaries = []\n        for doc_id in doc_ids:\n            if doc_id not in document_samples:\n                continue\n            \n            doc_info = document_samples[doc_id]\n            chunks = doc_info.get('chunks', [])\n            filename = doc_info.get('filename', 'unknown')\n            \n            # Extract representative content for this document\n            if use_smart_chunk_selection:\n                representative_chunks = extract_representative_chunks_smart(chunks, max_chunks=3)\n            else:\n                # Simple approach: first, middle, last\n                if len(chunks) <= 3:\n                    representative_chunks = chunks\n                else:\n                    representative_chunks = (\n                        chunks[:1] + \n                        chunks[len(chunks)//2:len(chunks)//2+1] + \n                        chunks[-1:]\n                    )\n            \n            # Format document content (merge top-K chunks)\n            doc_content = \"\"\n            for i, chunk in enumerate(representative_chunks):\n                content = chunk.get('content', '')\n                # Limit each chunk length for individual document\n                if len(content) > 1000:\n                    content = content[:1000] + \"...\"\n                # Add chunk separator\n                doc_content += f\"[Chunk {i+1}]\\n{content}\\n\\n\"\n            \n            # Generate document summary from merged chunks\n            logger.info(f\"Summarizing document {filename} with {len(representative_chunks)} representative chunks\")\n            doc_summary = summarize_document(doc_content, filename, language, doc_max_words, model_id, tenant_id)\n            document_summaries.append(doc_summary)\n        \n        # Reduce stage: Combine document summaries within this cluster into cluster summary\n        if document_summaries:\n            # Optionally enhance with cluster analysis\n            if enhance_with_metadata:\n                cluster_analysis = analyze_cluster_coherence(doc_ids, document_samples)\n                logger.info(f\"Cluster {cluster_id} analysis: {cluster_analysis.get('doc_count', 0)} documents\")\n            \n            cluster_summary = summarize_cluster(document_summaries, language, cluster_max_words, model_id, tenant_id)\n            cluster_summaries[cluster_id] = cluster_summary\n        else:\n            logger.warning(f\"No valid documents found in cluster {cluster_id}\")\n            cluster_summaries[cluster_id] = \"No content available for this cluster\"\n    \n    return cluster_summaries\n\n\n\n"
  },
  {
    "path": "backend/utils/file_management_utils.py",
    "content": "import asyncio\nimport logging\nimport os\nimport subprocess\nimport traceback\nfrom pathlib import Path\nfrom typing import List\n\nimport aiofiles\nimport httpx\nimport requests\nfrom fastapi import UploadFile\n\nfrom consts.const import DATA_PROCESS_SERVICE\nfrom consts.model import ProcessParams\nfrom database.attachment_db import get_file_size_from_minio\nfrom utils.auth_utils import get_current_user_id\nfrom utils.config_utils import tenant_config_manager\n\nlogger = logging.getLogger(\"file_management_utils\")\n\n\nasync def save_upload_file(file: UploadFile, upload_path: Path) -> bool:\n    try:\n        async with aiofiles.open(upload_path, 'wb') as out_file:\n            content = await file.read()\n            await out_file.write(content)\n        return True\n    except Exception as e:\n        logger.error(f\"Error saving file {file.filename}: {str(e)}\")\n        return False\n\n\nasync def trigger_data_process(files: List[dict], process_params: ProcessParams):\n    \"\"\"Trigger data processing service to handle uploaded files\"\"\"\n    try:\n        if not files:\n            return None\n\n        # Get chunking size according to the embedding model\n        embedding_model_id = None\n        tenant_id = None\n        try:\n            _, tenant_id = get_current_user_id(process_params.authorization)\n            # Get embedding model ID from tenant config\n            tenant_config = tenant_config_manager.load_config(tenant_id)\n            embedding_model_id_str = tenant_config.get(\"EMBEDDING_ID\") if tenant_config else None\n            if embedding_model_id_str:\n                embedding_model_id = int(embedding_model_id_str)\n        except Exception as e:\n            logger.warning(f\"Failed to get embedding model ID for tenant: {e}\")\n\n        # Build headers with authorization\n        headers = {\n            \"Authorization\": f\"Bearer {process_params.authorization}\"\n        }\n\n        # Build source data list\n        if len(files) == 1:\n            # Single file request\n            file_details = files[0]\n            payload = {\n                \"source\": file_details.get(\"path_or_url\"),\n                \"source_type\": process_params.source_type,\n                \"chunking_strategy\": process_params.chunking_strategy,\n                \"index_name\": process_params.index_name,\n                \"original_filename\": file_details.get(\"filename\"),\n                \"embedding_model_id\": embedding_model_id,\n                \"tenant_id\": tenant_id\n            }\n\n            try:\n                async with httpx.AsyncClient() as client:\n                    response = await client.post(f\"{DATA_PROCESS_SERVICE}/tasks\", headers=headers, json=payload, timeout=30.0)\n\n                if response.status_code == 201:\n                    return response.json()\n                else:\n                    logger.error(\n                        \"Error from data process service: %s - %s\", response,\n                        response.text if hasattr(response, 'text') else 'No response text')\n                    return {\"status\": \"error\", \"code\": response.status_code,\n                        \"message\": f\"Data process service error: {response.status_code}\"}\n            except httpx.RequestError as e:\n                logger.error(\"Failed to connect to data process service: %s\", str(e))\n                return {\"status\": \"error\", \"code\": \"CONNECTION_ERROR\",\n                    \"message\": f\"Failed to connect to data process service: {str(e)}\"}\n\n        else:\n            # Batch file request\n            sources = []\n            for file_details in files:\n                source = {\n                    \"source\": file_details.get(\"path_or_url\"),\n                    \"source_type\": process_params.source_type,\n                    \"chunking_strategy\": process_params.chunking_strategy,\n                    \"index_name\": process_params.index_name,\n                    \"original_filename\": file_details.get(\"filename\"),\n                    \"embedding_model_id\": embedding_model_id,\n                    \"tenant_id\": tenant_id\n                }\n                sources.append(source)\n\n            payload = {\"sources\": sources}\n\n            try:\n                async with httpx.AsyncClient() as client:\n                    response = await client.post(f\"{DATA_PROCESS_SERVICE}/tasks/batch\", headers=headers, json=payload, timeout=30.0)\n\n                if response.status_code == 201:\n                    return response.json()\n                else:\n                    logger.error(\n                        \"Error from data process service: %s - %s\", response,\n                        response.text if hasattr(response, 'text') else 'No response text')\n                    return {\"status\": \"error\", \"code\": response.status_code,\n                        \"message\": f\"Data process service error: {response.status_code}\"}\n            except httpx.RequestError as e:\n                logger.error(\"Failed to connect to data process service: %s\", str(e))\n                return {\"status\": \"error\", \"code\": \"CONNECTION_ERROR\",\n                    \"message\": f\"Failed to connect to data process service: {str(e)}\"}\n    except Exception as e:\n        logger.error(\"Error triggering data process: %s\", str(e))\n        return {\"status\": \"error\", \"code\": \"INTERNAL_ERROR\", \"message\": f\"Internal error: {str(e)}\"}\n\n\nasync def get_all_files_status(index_name: str):\n    \"\"\"\n    Get status for all files according to index_name, matching corresponding tasks, \n    and then convert to custom state\n    \n    Args:\n        index_name: Index name to filter tasks\n        \n    Returns:\n        Dictionary with path_or_url as keys and dict values: {state, latest_task_id}\n    \"\"\"\n    try:\n        try:\n            async with httpx.AsyncClient() as client:\n                response = await client.get(f\"{DATA_PROCESS_SERVICE}/tasks/indices/{index_name}\", timeout=10.0)\n            if response.status_code == 200:\n                tasks_list = response.json()\n            else:\n                logger.error(f\"Error from data process service: {response.status_code} - {response.text}\")\n                return {}\n        except Exception as e:\n            logger.error(f\"Failed to connect to data process service: {str(e)}\")\n            return {}\n        \n        logging.debug(f\"Found {len(tasks_list)} tasks for index '{index_name}'\")\n        if not tasks_list:\n            logger.warning(f\"No tasks found for index '{index_name}'\")\n            return {}\n        \n        # Dictionary to store file statuses:\n        # {path_or_url: {process_state, forward_state, timestamps, progress fields}}\n        file_states = {}\n        for task_info in tasks_list:\n            # No need to check index_name since get_index_tasks already filters by it\n            task_path_or_url = task_info.get('path_or_url', '')\n            task_name = task_info.get('task_name', '')\n            task_status = task_info.get('status', '')\n            task_created_at = task_info.get('created_at', 0)\n            task_id = task_info.get('id', '')\n            original_filename = task_info.get('original_filename', '')\n            source_type = task_info.get('source_type', '')\n            if task_path_or_url:\n                # Initialize file state if not exists\n                if task_path_or_url not in file_states:\n                    file_states[task_path_or_url] = {\n                        'process_state': '',\n                        'forward_state': '',\n                        'latest_process_created_at': 0,\n                        'latest_forward_created_at': 0,\n                        'latest_task_id': '',\n                        'original_filename': '',\n                        'source_type': '',\n                        # Optional progress fields provided by data-process service\n                        'processed_chunks': None,\n                        'total_chunks': None,\n                    }\n                file_state = file_states[task_path_or_url]\n                # Process task\n                if task_name == 'process' and task_created_at > file_state['latest_process_created_at']:\n                    file_state['latest_process_created_at'] = task_created_at\n                    file_state['process_state'] = task_status\n                    file_state['latest_task_id'] = task_id\n                    file_state['original_filename'] = original_filename\n                    file_state['source_type'] = source_type\n                    # Update optional progress metrics if present\n                    file_state['processed_chunks'] = task_info.get(\n                        'processed_chunks', file_state.get('processed_chunks'))\n                    file_state['total_chunks'] = task_info.get(\n                        'total_chunks', file_state.get('total_chunks'))\n                # Forward task\n                elif task_name == 'forward' and task_created_at > file_state['latest_forward_created_at']:\n                    file_state['latest_forward_created_at'] = task_created_at\n                    file_state['forward_state'] = task_status\n                    file_state['latest_task_id'] = task_id\n                    file_state['original_filename'] = original_filename\n                    file_state['source_type'] = source_type\n                    # Forward tasks may also carry progress metrics\n                    file_state['processed_chunks'] = task_info.get(\n                        'processed_chunks', file_state.get('processed_chunks'))\n                    file_state['total_chunks'] = task_info.get(\n                        'total_chunks', file_state.get('total_chunks'))\n        result = {}\n        for path_or_url, file_state in file_states.items():\n            # Call remote state conversion API so this service no longer depends on Celery\n            custom_state = await _convert_to_custom_state(\n                process_celery_state=file_state['process_state'] or '',\n                forward_celery_state=file_state['forward_state'] or ''\n            )\n            # Try to get progress from Redis - always check Redis for real-time progress\n            # especially when task is in progress (FORWARDING or PROCESSING)\n            processed_chunks = file_state.get('processed_chunks')\n            total_chunks = file_state.get('total_chunks')\n            task_id = file_state['latest_task_id'] or ''\n\n            # Always try to get latest progress from Redis if task_id exists\n            # Redis has the most up-to-date progress during vectorization\n            if task_id:\n                try:\n                    from services.redis_service import get_redis_service\n                    redis_service = get_redis_service()\n                    progress_info = redis_service.get_progress_info(task_id)\n                    if progress_info:\n                        # Use Redis progress as primary source (it's updated in real-time)\n                        redis_processed = progress_info.get('processed_chunks')\n                        redis_total = progress_info.get('total_chunks')\n                        if redis_processed is not None:\n                            processed_chunks = redis_processed\n                        if redis_total is not None:\n                            total_chunks = redis_total\n                        logger.debug(\n                            f\"Retrieved progress from Redis for task {task_id}: {processed_chunks}/{total_chunks}\")\n                    else:\n                        logger.debug(\n                            f\"No progress info in Redis for task {task_id}, using task state values: {processed_chunks}/{total_chunks}\")\n                except Exception as e:\n                    logger.debug(\n                        f\"Failed to get progress from Redis for task {task_id}: {str(e)}\")\n\n            result[path_or_url] = {\n                'state': custom_state,\n                'latest_task_id': task_id,\n                'original_filename': file_state['original_filename'] or '',\n                'source_type': file_state['source_type'] or '',\n                # Expose optional progress metrics for downstream consumers\n                'processed_chunks': processed_chunks,\n                'total_chunks': total_chunks,\n            }\n        return result\n    except Exception as e:\n        logger.error(f\"Error getting all files status for index {index_name}, details: {str(e)} {traceback.format_exc()}\")\n        return {}  # Return empty dict on error\n\n\nasync def _convert_to_custom_state(process_celery_state: str, forward_celery_state: str) -> str:\n    \"\"\"Delegates Celery-state conversion to the data-process service.\n\n    This removes the direct dependency on the *celery* package for callers of\n    `file_management_utils`.\n    \"\"\"\n    try:\n        payload = {\n            \"process_state\": process_celery_state,\n            \"forward_state\": forward_celery_state,\n        }\n\n        async with httpx.AsyncClient() as client:\n            response = await client.post(f\"{DATA_PROCESS_SERVICE}/tasks/convert_state\", json=payload, timeout=5.0)\n\n        if response.status_code == 200:\n            return response.json().get(\"state\", \"WAIT_FOR_PROCESSING\")\n        else:\n            logger.warning(\n                \"State conversion service error: %s - %s\", response.status_code, response.text\n            )\n    except Exception as e:\n        logger.warning(\"Failed to convert state via service: %s\", str(e))\n\n    # Fallback mapping without Celery dependency (string comparison only)\n    success = \"SUCCESS\"\n    failure = \"FAILURE\"\n    pending = \"PENDING\"\n    started = \"STARTED\"\n\n    if process_celery_state == failure:\n        return \"PROCESS_FAILED\"\n    if forward_celery_state == failure:\n        return \"FORWARD_FAILED\"\n    if process_celery_state == success and forward_celery_state == success:\n        return \"COMPLETED\"\n    if not process_celery_state and not forward_celery_state:\n        return \"WAIT_FOR_PROCESSING\"\n\n    forward_state_map = {\n        pending: \"WAIT_FOR_FORWARDING\",\n        started: \"FORWARDING\",\n        success: \"COMPLETED\",\n        failure: \"FORWARD_FAILED\",\n    }\n    process_state_map = {\n        pending: \"WAIT_FOR_PROCESSING\",\n        started: \"PROCESSING\",\n        success: \"WAIT_FOR_FORWARDING\",\n        failure: \"PROCESS_FAILED\",\n    }\n\n    if forward_celery_state:\n        return forward_state_map.get(forward_celery_state, \"WAIT_FOR_FORWARDING\")\n    if process_celery_state:\n        return process_state_map.get(process_celery_state, \"WAIT_FOR_PROCESSING\")\n    return \"WAIT_FOR_PROCESSING\"\n\n\ndef get_file_size(source_type: str, path_or_url: str) -> int:\n    \"\"\"Query the actual size(bytes) of the file.\"\"\"\n    try:\n        if source_type == \"minio\":\n            return get_file_size_from_minio(path_or_url)\n\n        elif source_type == \"local\":\n            # For local files, use os.path.getsize to get file size\n            if os.path.exists(path_or_url):\n                return os.path.getsize(path_or_url)\n            else:\n                logging.warning(f\"File not found at local path: {path_or_url}\")\n                return 0\n        else:\n            raise NotImplementedError(f\"Unexpected source type: {source_type}\")\n\n    except requests.exceptions.RequestException as e:\n        logging.error(f\"Network error getting file size for URL {path_or_url}: {str(e)}\")\n        return 0\n    except Exception as e:\n        logging.error(f\"Error getting file size for {path_or_url}: {str(e)}\")\n        return 0\n\n\nasync def convert_office_to_pdf(input_path: str, output_dir: str, timeout: int = 30) -> str:\n    \"\"\"\n    Convert Office document to PDF using LibreOffice.\n    \n    Args:\n        input_path: Path to input Office file\n        output_dir: Directory for output PDF file\n        timeout: Conversion timeout in seconds (default: 30s)\n        \n    Returns:\n        str: Path to generated PDF file\n    \"\"\"\n    if not os.path.exists(input_path):\n        raise FileNotFoundError(f\"Input file not found: {input_path}\")\n\n    def _run_libreoffice_conversion():\n        \"\"\"Synchronous LibreOffice conversion to run in thread executor.\"\"\"\n        cmd = [\n            'libreoffice',\n            '--headless',\n            '--convert-to', 'pdf',\n            '--outdir', output_dir,\n            input_path\n        ]\n        return subprocess.run(\n            cmd,\n            capture_output=True,\n            text=True,\n            timeout=timeout\n        )\n    \n    try:\n        # Run blocking subprocess in thread executor to avoid blocking event loop\n        result = await asyncio.to_thread(_run_libreoffice_conversion)\n        \n        if result.returncode != 0:\n            error_msg = result.stderr or result.stdout or \"Unknown conversion error\"\n            logger.error(f\"LibreOffice conversion failed: {error_msg}\")\n            raise RuntimeError(f\"Office to PDF conversion failed: {error_msg}\")\n        \n        # Find generated PDF file\n        input_filename = os.path.basename(input_path)\n        pdf_filename = os.path.splitext(input_filename)[0] + '.pdf'\n        pdf_path = os.path.join(output_dir, pdf_filename)\n        \n        if not os.path.exists(pdf_path):\n            raise RuntimeError(f\"Converted PDF not found: {pdf_path}\")\n        \n        return pdf_path\n        \n    except subprocess.TimeoutExpired:\n        logger.error(f\"Office to PDF conversion timeout after {timeout}s: {input_path}\")\n        raise TimeoutError(f\"Office to PDF conversion timeout (>{timeout}s)\")\n        \n    except FileNotFoundError as e:\n        # LibreOffice executable not found in PATH\n        logger.error(f\"LibreOffice not available: {str(e)}\")\n        raise FileNotFoundError(\n            \"LibreOffice is not installed or not available in PATH. \"\n        ) from e\n\n\n"
  },
  {
    "path": "backend/utils/langchain_utils.py",
    "content": "import importlib.util\nimport logging\nimport os\nfrom typing import Any, Callable, List, Optional, Tuple\n\nlogger = logging.getLogger(__name__)\n\n# Default path for LangChain tools\nLANGCHAIN_TOOLS_DIR = os.path.abspath(os.path.join(\n    os.path.dirname(os.path.dirname(os.path.abspath(__file__))),\n    \"tool_collection\",\n    \"langchain\"\n))\n\n\ndef _is_langchain_tool(obj) -> bool:\n    from langchain_core.tools import BaseTool\n    return isinstance(obj, BaseTool)\n\n\ndef discover_langchain_modules(\n    directory: str = LANGCHAIN_TOOLS_DIR,\n    filter_func: Optional[Callable[[Any], bool]] = _is_langchain_tool\n) -> List[Tuple[Any, str]]:\n    \"\"\"\n    Discover and import Python modules that may contain LangChain tools from a directory.\n\n    Args:\n        directory: Path to directory containing Python modules to scan\n                  Defaults to the standard LangChain tools directory\n        filter_func: Optional function to filter discovered objects\n                     If provided, only objects where filter_func(obj) is True are returned\n\n    Returns:\n        List of tuples (discovered_object, source_filename) that pass the filter function\n    \"\"\"\n    discovered_objects = []\n\n    if not os.path.isdir(directory):\n        logger.warning(f\"Directory not found: {directory}\")\n        return discovered_objects\n\n    for filename in os.listdir(directory):\n        # Skip non-python files and dunder modules\n        if not filename.endswith(\".py\") or filename.startswith(\"__\"):\n            continue\n\n        module_path = os.path.join(directory, filename)\n        module_name = f\"langchain_tool_{filename[:-3]}\"  # unique name\n\n        try:\n            spec = importlib.util.spec_from_file_location(\n                module_name, module_path)\n            if spec and spec.loader:\n                module = importlib.util.module_from_spec(spec)\n                spec.loader.exec_module(module)\n            else:\n                logger.warning(f\"Failed to load spec for {module_path}\")\n                continue\n\n            # Process module attributes\n            for attr_name in dir(module):\n                if attr_name.startswith(\"__\"):\n                    continue\n\n                obj = getattr(module, attr_name)\n\n                # Apply filter if provided, otherwise include all objects\n                if filter_func(obj):\n                    discovered_objects.append((obj, filename))\n\n        except Exception as e:\n            logger.error(f\"Error processing module {filename}: {e}\")\n\n    return discovered_objects\n"
  },
  {
    "path": "backend/utils/llm_utils.py",
    "content": "import logging\nfrom typing import Callable, List, Optional\n\nfrom consts.const import MESSAGE_ROLE, THINK_END_PATTERN, THINK_START_PATTERN\nfrom consts.error_code import ErrorCode\nfrom consts.exceptions import AppException\nfrom database.model_management_db import get_model_by_model_id\nfrom nexent.core.models import OpenAIModel\nfrom utils.config_utils import get_model_name_from_config\n\nlogger = logging.getLogger(\"llm_utils\")\n\n\ndef _process_thinking_tokens(\n    new_token: str,\n    is_thinking: bool,\n    token_join: List[str],\n    callback: Optional[Callable[[str], None]] = None,\n) -> bool:\n    \"\"\"\n    Process tokens to filter out thinking content between <think> and </think> tags.\n    Handles cases where providers only send a closing tag or mix reasoning_content.\n    \"\"\"\n    # Check for end tag first, as it might appear in the same token as start tag\n    if THINK_END_PATTERN in new_token:\n        # If we were never in think mode, treat everything accumulated so far as reasoning and clear it\n        if not is_thinking:\n            token_join.clear()\n            if callback:\n                callback(\"\")  # clear any previously streamed reasoning content\n\n        # Exit thinking mode and only keep content after </think>\n        _, _, after_end = new_token.partition(THINK_END_PATTERN)\n        is_thinking = False\n        new_token = after_end\n        # Continue processing the remaining content in this token\n\n    # Check for start tag (after processing end tag, in case both are in the same token)\n    if THINK_START_PATTERN in new_token:\n        # Drop any content before <think> and switch to thinking mode\n        _, _, after_start = new_token.partition(THINK_START_PATTERN)\n        new_token = after_start\n        is_thinking = True\n\n    if is_thinking:\n        # Still inside thinking content; ignore until we exit\n        return True\n\n    if new_token:\n        token_join.append(new_token)\n        if callback:\n            callback(\"\".join(token_join))\n\n    return False\n\n\ndef call_llm_for_system_prompt(\n    model_id: int,\n    user_prompt: str,\n    system_prompt: str,\n    callback: Optional[Callable[[str], None]] = None,\n    tenant_id: Optional[str] = None,\n) -> str:\n    \"\"\"\n    Call the LLM to generate a system prompt with optional streaming callbacks.\n    \"\"\"\n    llm_model_config = get_model_by_model_id(model_id=model_id, tenant_id=tenant_id)\n\n    llm = OpenAIModel(\n        model_id=get_model_name_from_config(llm_model_config) if llm_model_config else \"\",\n        api_base=llm_model_config.get(\"base_url\", \"\") if llm_model_config else \"\",\n        api_key=llm_model_config.get(\"api_key\", \"\") if llm_model_config else \"\",\n        temperature=0.3,\n        top_p=0.95,\n        model_factory=llm_model_config.get(\"model_factory\") if llm_model_config else None,\n        ssl_verify=llm_model_config.get(\"ssl_verify\", True) if llm_model_config else True,\n    )\n    messages = [\n        {\"role\": MESSAGE_ROLE[\"SYSTEM\"], \"content\": system_prompt},\n        {\"role\": MESSAGE_ROLE[\"USER\"], \"content\": user_prompt},\n    ]\n    try:\n        completion_kwargs = llm._prepare_completion_kwargs(\n            messages=messages,\n            model=llm.model_id,\n            temperature=0.3,\n            top_p=0.95,\n        )\n        current_request = llm.client.chat.completions.create(stream=True, **completion_kwargs)\n        token_join: List[str] = []\n        is_thinking = False\n        reasoning_content_seen = False\n        content_tokens_seen = 0\n        for chunk in current_request:\n            delta = chunk.choices[0].delta\n            reasoning_content = getattr(delta, \"reasoning_content\", None)\n            new_token = delta.content\n\n            # Note: reasoning_content is separate metadata and doesn't affect content filtering\n            # We only filter content based on <think> tags in delta.content\n            if reasoning_content:\n                reasoning_content_seen = True\n                logger.debug(\"Received reasoning_content (metadata only, not filtering content)\")\n\n            # Process content token if it exists\n            if new_token is not None:\n                content_tokens_seen += 1\n                is_thinking = _process_thinking_tokens(\n                    new_token,\n                    is_thinking,\n                    token_join,\n                    callback,\n                )\n\n        result = \"\".join(token_join)\n        if not result and content_tokens_seen > 0:\n            logger.warning(\n                \"Generated prompt is empty but %d content tokens were processed. \"\n                \"This suggests all content was filtered out.\",\n                content_tokens_seen\n            )\n\n        return result\n    except Exception as exc:\n        logger.error(\"Failed to generate prompt from LLM: %s\", str(exc))\n        # Parse error code from exception message and raise appropriate AppException\n        # Use specific error codes for different scenarios\n        error_msg = str(exc)\n        if \"401\" in error_msg or \"api key\" in error_msg.lower() or \"unauthorized\" in error_msg.lower():\n            raise AppException(ErrorCode.MODEL_API_KEY_INVALID)\n        elif \"403\" in error_msg or \"forbidden\" in error_msg.lower():\n            raise AppException(ErrorCode.MODEL_API_KEY_NO_PERMISSION)\n        elif \"404\" in error_msg or \"not found\" in error_msg.lower():\n            raise AppException(ErrorCode.MODEL_NOT_FOUND)\n        elif \"429\" in error_msg or \"rate limit\" in error_msg.lower():\n            raise AppException(ErrorCode.MODEL_RATE_LIMIT_EXCEEDED)\n        elif \"500\" in error_msg or \"502\" in error_msg or \"503\" in error_msg or \"504\" in error_msg:\n            raise AppException(ErrorCode.MODEL_SERVICE_UNAVAILABLE)\n        elif \"connection\" in error_msg.lower() or \"timeout\" in error_msg.lower() or \"refused\" in error_msg.lower():\n            raise AppException(ErrorCode.MODEL_CONNECTION_ERROR)\n        else:\n            raise AppException(ErrorCode.MODEL_PROMPT_GENERATION_FAILED)\n\n\n__all__ = [\"call_llm_for_system_prompt\", \"_process_thinking_tokens\"]\n"
  },
  {
    "path": "backend/utils/logging_utils.py",
    "content": "import logging\n\nclass ColorFormatter(logging.Formatter):\n    COLOR_MAP = {\n        'WARNING': '\\033[33m',  # Yellow\n        'ERROR': '\\033[31m',    # Red\n        'CRITICAL': '\\033[41m', # Red background\n    }\n    RESET = '\\033[0m'\n\n    def format(self, record):\n        color = self.COLOR_MAP.get(record.levelname, '')\n        message = super().format(record)\n        if color:\n            message = f\"{color}{message}{self.RESET}\"\n        return message\n\ndef configure_logging(level=logging.INFO):\n    \"\"\"\n    Configure root logger with color formatter and stream handler.\n    Call this at the top of your main service scripts.\n    \"\"\"\n    root_logger = logging.getLogger()\n    root_logger.handlers.clear()\n    handler = logging.StreamHandler()\n    formatter = ColorFormatter('[%(asctime)s %(levelname)-1s %(name)-1s] %(message)s', datefmt='%H:%M:%S')\n    handler.setFormatter(formatter)\n    root_logger.addHandler(handler)\n    root_logger.setLevel(level)\n\ndef configure_elasticsearch_logging():\n    \"\"\"Configure logging for Elasticsearch client to reduce verbosity\"\"\"\n    \n    # Configure logging for elasticsearch\n    logging.getLogger('elastic_transport.transport').setLevel(logging.WARNING)\n    \n    # Configure logging for urllib3 (used by elasticsearch)\n    # logging.getLogger('urllib3').setLevel(logging.WARNING)\n    \n    # Configure logging for elasticsearch.trace\n    # This logger logs the body of requests and responses which can be very verbose\n    logging.getLogger('elasticsearch.trace').setLevel(logging.WARNING)\n    \n    # Configure logging for FastAPI/uvicorn access logs\n    # logging.getLogger('uvicorn.access').setLevel(logging.WARNING)\n    # logging.getLogger('fastapi').setLevel(logging.WARNING) \n    \n    # Disable httpx INFO logs\n    logging.getLogger(\"httpx\").setLevel(logging.WARNING)\n    "
  },
  {
    "path": "backend/utils/memory_utils.py",
    "content": "import logging\nfrom typing import Dict, Any\nfrom urllib.parse import urlparse\n\nfrom consts import const as _c\nfrom consts.const import MODEL_CONFIG_MAPPING\nfrom utils.config_utils import get_model_name_from_config, tenant_config_manager\n\nlogger = logging.getLogger(\"memory_utils\")\n\n\ndef build_memory_config(tenant_id: str) -> Dict[str, Any]:\n    \"\"\"Return a fully-validated configuration dictionary for *mem0* ``Memory``.\n    \"\"\"\n    # 1. Resolve tenant-specific model configuration\n    llm_raw = tenant_config_manager.get_model_config(MODEL_CONFIG_MAPPING[\"llm\"], tenant_id=tenant_id)\n    embed_raw = tenant_config_manager.get_model_config(MODEL_CONFIG_MAPPING[\"embedding\"], tenant_id=tenant_id)\n\n    if not (llm_raw and llm_raw.get(\"model_name\")):\n        raise ValueError(\"Missing LLM configuration for tenant\")\n    if not (embed_raw and embed_raw.get(\"max_tokens\")):\n        raise ValueError(\"Missing embedding-model configuration for tenant\")\n\n    # 2. Resolve Elasticsearch connection details\n    if not _c.ES_HOST:\n        raise ValueError(\"ES_HOST is not configured\")\n    parsed = urlparse(_c.ES_HOST)\n    if not (parsed.scheme and parsed.hostname and parsed.port):\n        raise ValueError(\"ES_HOST must include scheme, host and port, e.g. http://host:9200\")\n    es_host = f\"{parsed.scheme}://{parsed.hostname}\"\n    es_port = parsed.port\n    # Normalize repo/name to avoid problematic characters in index names\n    safe_repo = embed_raw[\"model_repo\"].lower().replace(\n        \"/\", \"_\") if embed_raw[\"model_repo\"] else \"\"\n    safe_name = embed_raw[\"model_name\"].lower().replace(\"/\", \"_\")\n    index_name = (\n        f\"mem0_{safe_repo}_{safe_name}_{embed_raw['max_tokens']}\"\n        if embed_raw[\"model_repo\"]\n        else f\"mem0_{safe_name}_{embed_raw['max_tokens']}\"\n    )\n\n    # 3. Assemble final configuration\n    memory_config: Dict[str, Any] = {\n        \"llm\": {\n            \"provider\": \"openai\",\n            \"config\": {\n                \"model\": get_model_name_from_config(llm_raw),\n                \"openai_base_url\": llm_raw[\"base_url\"],\n                \"api_key\": llm_raw[\"api_key\"],\n            },\n        },\n        \"embedder\": {\n            \"provider\": \"openai\",\n            \"config\": {\n                \"model\": get_model_name_from_config(embed_raw),\n                \"openai_base_url\": embed_raw[\"base_url\"],\n                \"embedding_dims\": embed_raw[\"max_tokens\"],\n                \"api_key\": embed_raw[\"api_key\"],\n            },\n        },\n        \"vector_store\": {\n            \"provider\": \"elasticsearch\",\n            \"config\": {\n                \"collection_name\": index_name,\n                \"host\": es_host,\n                \"port\": es_port,\n                \"embedding_model_dims\": embed_raw[\"max_tokens\"],\n                \"verify_certs\": False,\n                \"api_key\": _c.ES_API_KEY,\n                \"user\": _c.ES_USERNAME,\n                \"password\": _c.ES_PASSWORD,\n            },\n        },\n        \"telemetry\": {\"enabled\": False},\n    }\n    return memory_config "
  },
  {
    "path": "backend/utils/model_name_utils.py",
    "content": "import logging\nfrom typing import List\n\ndef split_repo_name(full_name: str):\n    \"\"\"\n    Split model_name into model_repo and model_name\n    \"\"\"\n    parts = full_name.split('/')\n    if len(parts) > 1:\n        return '/'.join(parts[:-1]), parts[-1]\n    return \"\", full_name\n\n\ndef add_repo_to_name(model_repo: str, model_name: str) -> str:\n    \"\"\"\n    Concatenate model_repo and model_name\n\n    Args:\n        model_repo: Model repository name\n        model_name: Model name\n\n    Returns:\n        str: Complete model name after concatenation\n    \"\"\"\n    if \"/\" in model_name:\n        logging.warning(f\"Unexpected behavior: Model name {model_name} already contains repository information!\")\n        return model_name\n    if model_repo:\n        return f\"{model_repo}/{model_name}\"\n    return model_name\n\ndef split_display_name(full_name: str):\n    \"\"\"\n    Split model_name into a display name.\n    Examples:\n    - 'model' -> 'model'\n    - 'repo/model' -> 'model'\n    - 'pro/repo/model' -> 'pro/model'\n    \"\"\"\n    parts = full_name.split('/')\n    if not full_name:\n        return \"\"\n    if len(parts) <= 2:\n        return parts[-1]\n    else:\n        # For names like \"Pro/Qwen/Qwen2-7B-Instruct\", return \"Pro/Qwen2-7B-Instruct\"\n        return f\"{parts[0]}/{parts[-1]}\"\n\n\ndef sort_models_by_id(model_list: List[dict]) -> List[dict]:\n    \"\"\"\n    Sort model list by the first letter of id\n    \n    Args:\n        model_list: List of models\n        \n    Returns:\n        List[dict]: Sorted model list\n    \"\"\"\n    if isinstance(model_list, list):\n        model_list.sort(\n            key=lambda m: str((m.get(\"id\") if isinstance(m, dict) else m) or \"\")[:1].lower(), \n            reverse=False\n        )\n    return model_list\n"
  },
  {
    "path": "backend/utils/monitoring.py",
    "content": "\"\"\"\nGlobal Monitoring Manager for Backend\n\nThis module initializes and configures the global monitoring manager instance\nwith backend environment variables. All other backend modules should import\n`monitoring_manager` directly from this module.\n\nUsage:\n    from utils.monitoring import monitoring_manager\n    \n    @monitoring_manager.monitor_endpoint(\"my_service.my_function\")\n    async def my_function():\n        return {\"status\": \"ok\"}\n\"\"\"\n\nfrom nexent.monitor import (\n    MonitoringConfig,\n    get_monitoring_manager\n)\n# Import configuration from backend (support both relative and absolute imports)\ntry:\n    # Try relative import first (when running from backend directory)\n    from consts.const import (\n        ENABLE_TELEMETRY,\n        SERVICE_NAME,\n        JAEGER_ENDPOINT,\n        PROMETHEUS_PORT,\n        TELEMETRY_SAMPLE_RATE,\n        LLM_SLOW_REQUEST_THRESHOLD_SECONDS,\n        LLM_SLOW_TOKEN_RATE_THRESHOLD\n    )\nexcept ImportError:\n    # Fallback to absolute import (when running from project root)\n    from backend.consts.const import (\n        ENABLE_TELEMETRY,\n        SERVICE_NAME,\n        JAEGER_ENDPOINT,\n        PROMETHEUS_PORT,\n        TELEMETRY_SAMPLE_RATE,\n        LLM_SLOW_REQUEST_THRESHOLD_SECONDS,\n        LLM_SLOW_TOKEN_RATE_THRESHOLD\n    )\n\nimport logging\n\nlogger = logging.getLogger(__name__)\n\n# ============================================================================\n# Global Monitoring Manager Instance\n# ============================================================================\n\n# Get the global monitoring manager instance\nmonitoring_manager = get_monitoring_manager()\n\n# Initialize monitoring configuration immediately when this module is imported\n\n\ndef _initialize_monitoring():\n    \"\"\"Initialize monitoring configuration with backend environment variables.\"\"\"\n    config = MonitoringConfig(\n        enable_telemetry=ENABLE_TELEMETRY,\n        service_name=SERVICE_NAME,\n        jaeger_endpoint=JAEGER_ENDPOINT,\n        prometheus_port=PROMETHEUS_PORT,\n        telemetry_sample_rate=TELEMETRY_SAMPLE_RATE,\n        llm_slow_request_threshold_seconds=LLM_SLOW_REQUEST_THRESHOLD_SECONDS,\n        llm_slow_token_rate_threshold=LLM_SLOW_TOKEN_RATE_THRESHOLD\n    )\n\n    # Configure the SDK monitoring system using the singleton\n    monitoring_manager.configure(config)\n    logger.info(\n        f\"Global monitoring initialized: service_name={SERVICE_NAME}, enable_telemetry={ENABLE_TELEMETRY}\")\n\n\n# Initialize monitoring when module is imported\n_initialize_monitoring()\n\n\n# Export the global monitoring manager instance\n__all__ = [\n    'monitoring_manager'\n]\n"
  },
  {
    "path": "backend/utils/prompt_template_utils.py",
    "content": "import logging\nimport os\nfrom typing import Dict, Any\n\nimport yaml\n\nfrom consts.const import LANGUAGE\n\nlogger = logging.getLogger(\"prompt_template_utils\")\n\n\ndef get_prompt_template(template_type: str, language: str = LANGUAGE[\"ZH\"], **kwargs) -> Dict[str, Any]:\n    \"\"\"\n    Get prompt template\n\n    Args:\n        template_type: Template type, supports the following values:\n            - 'prompt_generate': Prompt generation template\n            - 'agent': Agent template including manager and managed agents\n            - 'generate_title': Title generation template\n            - 'document_summary': Document summary template (Map stage)\n            - 'cluster_summary_reduce': Cluster summary reduce template (Reduce stage)\n        language: Language code ('zh' or 'en')\n        **kwargs: Additional parameters, for agent type need to pass is_manager parameter\n\n    Returns:\n        dict: Loaded prompt template\n    \"\"\"\n    logger.info(\n        f\"Getting prompt template for type: {template_type}, language: {language}, kwargs: {kwargs}\")\n\n    # Define template path mapping\n    template_paths = {\n        'prompt_generate': {\n            LANGUAGE[\"ZH\"]: 'backend/prompts/utils/prompt_generate_zh.yaml',\n            LANGUAGE[\"EN\"]: 'backend/prompts/utils/prompt_generate_en.yaml'\n        },\n        'agent': {\n            LANGUAGE[\"ZH\"]: {\n                'manager': 'backend/prompts/manager_system_prompt_template_zh.yaml',\n                'managed': 'backend/prompts/managed_system_prompt_template_zh.yaml'\n            },\n            LANGUAGE[\"EN\"]: {\n                'manager': 'backend/prompts/manager_system_prompt_template_en.yaml',\n                'managed': 'backend/prompts/managed_system_prompt_template_en.yaml'\n            }\n        },\n        'generate_title': {\n            LANGUAGE[\"ZH\"]: 'backend/prompts/utils/generate_title_zh.yaml',\n            LANGUAGE[\"EN\"]: 'backend/prompts/utils/generate_title_en.yaml'\n        },\n        'document_summary': {\n            LANGUAGE[\"ZH\"]: 'backend/prompts/document_summary_agent_zh.yaml',\n            LANGUAGE[\"EN\"]: 'backend/prompts/document_summary_agent_en.yaml'\n        },\n        'cluster_summary_reduce': {\n            LANGUAGE[\"ZH\"]: 'backend/prompts/cluster_summary_reduce_zh.yaml',\n            LANGUAGE[\"EN\"]: 'backend/prompts/cluster_summary_reduce_en.yaml'\n        }\n    }\n\n    if template_type not in template_paths:\n        raise ValueError(f\"Unsupported template type: {template_type}\")\n\n    # Get template path\n    if template_type == 'agent':\n        is_manager = kwargs.get('is_manager', False)\n        agent_type = 'manager' if is_manager else 'managed'\n        template_path = template_paths[template_type][language][agent_type]\n    else:\n        template_path = template_paths[template_type][language]\n\n    # Get the directory of this file and construct absolute path\n    current_dir = os.path.dirname(os.path.abspath(__file__))\n    # Go up one level from utils to backend, then use the template path\n    backend_dir = os.path.dirname(current_dir)\n    absolute_template_path = os.path.join(backend_dir, template_path.replace('backend/', ''))\n    \n    # Read and return template content\n    with open(absolute_template_path, 'r', encoding='utf-8') as f:\n        return yaml.safe_load(f)\n\n\n# For backward compatibility, keep original function names as wrapper functions\ndef get_prompt_generate_prompt_template(language: str = LANGUAGE[\"ZH\"]) -> Dict[str, Any]:\n    \"\"\"\n    Get prompt generation prompt template\n\n    Args:\n        language: Language code ('zh' or 'en')\n\n    Returns:\n        dict: Loaded prompt template configuration\n    \"\"\"\n    return get_prompt_template('prompt_generate', language)\n\n\ndef get_agent_prompt_template(is_manager: bool, language: str = LANGUAGE[\"ZH\"]) -> Dict[str, Any]:\n    \"\"\"\n    Get agent prompt template\n\n    Args:\n        is_manager: Whether it is manager mode\n        language: Language code ('zh' or 'en')\n\n    Returns:\n        dict: Loaded prompt template configuration\n    \"\"\"\n    return get_prompt_template('agent', language, is_manager=is_manager)\n\n\ndef get_generate_title_prompt_template(language: str = 'zh') -> Dict[str, Any]:\n    \"\"\"\n    Get title generation prompt template\n\n    Args:\n        language: Language code ('zh' or 'en')\n\n    Returns:\n        dict: Loaded prompt template configuration\n    \"\"\"\n    return get_prompt_template('generate_title', language)\n\n\ndef get_document_summary_prompt_template(language: str = LANGUAGE[\"ZH\"]) -> Dict[str, Any]:\n    \"\"\"\n    Get document summary prompt template (Map stage)\n\n    Args:\n        language: Language code ('zh' or 'en')\n\n    Returns:\n        dict: Loaded document summary prompt template configuration\n    \"\"\"\n    return get_prompt_template('document_summary', language)\n\n\ndef get_cluster_summary_reduce_prompt_template(language: str = LANGUAGE[\"ZH\"]) -> Dict[str, Any]:\n    \"\"\"\n    Get cluster summary reduce prompt template (Reduce stage)\n\n    Args:\n        language: Language code ('zh' or 'en')\n\n    Returns:\n        dict: Loaded cluster summary reduce prompt template configuration\n    \"\"\"\n    return get_prompt_template('cluster_summary_reduce', language)\n"
  },
  {
    "path": "backend/utils/str_utils.py",
    "content": "import re\nfrom typing import List, Optional\n\n\ndef remove_think_blocks(text: str) -> str:\n    \"\"\"Remove <think>...</think> blocks including inner content.\"\"\"\n    if not text:\n        return text\n    return re.sub(r\"(?:<think>)?.*?</think>\", \"\", text, flags=re.DOTALL | re.IGNORECASE)\n\n\ndef convert_list_to_string(items: Optional[List[int]]) -> str:\n    \"\"\"\n    Convert list of integers to comma-separated string for database storage\n\n    Args:\n        items: List of integers or None\n\n    Returns:\n        Comma-separated string, empty string if None\n    \"\"\"\n    if items is None:\n        return \"\"\n    return \",\".join(str(item) for item in items)\n\n\ndef convert_string_to_list(items_str: Optional[str]) -> List[int]:\n    \"\"\"\n    Convert comma-separated string to list of integers for processing\n\n    Args:\n        items_str: Comma-separated string or None\n\n    Returns:\n        List of integers, empty list if None or empty string\n    \"\"\"\n    if not items_str or items_str.strip() == \"\":\n        return []\n    return [int(item.strip()) for item in items_str.split(\",\") if item.strip().isdigit()]\n"
  },
  {
    "path": "backend/utils/task_status_utils.py",
    "content": "from typing import Dict, Any\n\nfrom nexent.data_process import TaskStatus\n\n\ndef format_status_for_api(status_value) -> str:\n    \"\"\"\n    Convert any status format to lowercase string format for API use\n\n    Args:\n        status_value: Any status value (enum or string)\n\n    Returns:\n        Lowercase status string for API response\n    \"\"\"\n    # If enum, directly get value (already lowercase)\n    if isinstance(status_value, TaskStatus):\n        return status_value.value\n\n    # If string, ensure lowercase\n    return str(status_value).lower()\n\n\ndef has_result(task: Dict[str, Any]) -> bool:\n    \"\"\"\n    Check if a task should contain result data\n\n    Args:\n        task: Task information dictionary\n\n    Returns:\n        True if task result should be returned\n    \"\"\"\n    status = task.get(\"status\")\n    result_exists = \"result\" in task and task[\"result\"]\n\n    # Only return True if status is completed or forwarding, and result exists\n    if isinstance(status, TaskStatus):\n        return (status in [TaskStatus.COMPLETED, TaskStatus.FORWARDING]) and result_exists\n\n    # String status handling\n    status_str = str(status).lower()\n    return status_str in [\"completed\", \"forwarding\"] and result_exists\n\n\ndef get_status_display(task: Dict[str, Any]) -> Dict[str, Any]:\n    \"\"\"\n    Get task status information for frontend display\n\n    Args:\n        task: Task information dictionary\n\n    Returns:\n        Dictionary containing status information suitable for frontend display\n    \"\"\"\n    # Get API format status (lowercase)\n    status = format_status_for_api(task[\"status\"])\n\n    # Build basic response\n    response = {\"task_id\": task[\"id\"], \"status\": status, \"created_at\": task[\"created_at\"],\n        \"updated_at\": task[\"updated_at\"]}\n\n    # Add result (if exists and status allows)\n    if has_result(task):\n        response[\"result\"] = task.get(\"result\")\n\n    # Add error message (if exists)\n    if task.get(\"error\"):\n        response[\"error\"] = task[\"error\"]\n\n    return response\n"
  },
  {
    "path": "backend/utils/thread_utils.py",
    "content": "import atexit\nfrom concurrent.futures import ThreadPoolExecutor\n\n\nclass GlobalThreadPool:\n    _instance = None\n\n    def __new__(cls, max_workers=10):\n        if cls._instance is None:\n            cls._instance = super().__new__(cls)\n            cls._instance.pool = ThreadPoolExecutor(max_workers=max_workers)\n            atexit.register(cls._instance.pool.shutdown)\n        return cls._instance\n\n    def submit(self, fn, *args, **kwargs):\n        return self.pool.submit(fn, *args, **kwargs)\n\n\npool = GlobalThreadPool(max_workers=5)\n\n\n# Submit task asynchronously\ndef submit(fn, *args, **kwargs):\n    return pool.submit(fn, *args, **kwargs)\n"
  },
  {
    "path": "doc/.gitignore",
    "content": "node_modules/\npnpm-lock.yaml\npackage-lock.json\ndocs/.vitepress/cache\ndocs/.vitepress/dist\n"
  },
  {
    "path": "doc/docs/.vitepress/config.mts",
    "content": "// https://vitepress.dev/reference/site-config\nimport { defineConfig } from \"vitepress\";\n\nexport default defineConfig({\n  // Set base path for GitHub Pages deployment\n  base: (globalThis as any).process?.env?.GITHUB_PAGES ? '/nexent/' : '/',\n  title: \"Nexent Doc\",\n  description:\n    \"A zero-code platform for auto-generating agents  no orchestration, no complex drag-and-drop required.\",\n\n  // Add favicon to head\n  head: [[\"link\", { rel: \"icon\", href: (globalThis as any).process?.env?.GITHUB_PAGES ? \"/nexent/favicon.ico\" : \"/doc/favicon.ico\" }]],\n\n  // Ignore localhost links as they are meant for local deployment access\n  ignoreDeadLinks: [\n    // Ignore localhost links for main app\n    /^http:\\/\\/localhost:3000/,\n    // Ignore localhost links for monitoring services\n    /^http:\\/\\/localhost:3005/, // Grafana\n    /^http:\\/\\/localhost:9090/, // Prometheus\n    /^http:\\/\\/localhost:16686/, // Jaeger\n    /^http:\\/\\/localhost:8000/, // Metrics endpoint\n  ],\n\n  locales: {\n    en: {\n      label: \"English\",\n      lang: \"en\",\n      themeConfig: {\n        nav: [\n          { text: \"Home\", link: \"http://nexent.tech\" },\n          { text: \"Docs\", link: \"/en/getting-started/overview\" },\n        ],\n        sidebar: [\n          {\n            text: \"Overview\",\n            items: [\n              { text: \"Overview\", link: \"/en/getting-started/overview\" },\n              { text: \"Key Features\", link: \"/en/getting-started/features\" },\n              {\n                text: \"Software Architecture\",\n                link: \"/en/getting-started/software-architecture\",\n              },\n            ],\n          },\n          {\n            text: \"Quick Start\",\n            items: [\n              {\n                text: \"Installation & Deployment\",\n                link: \"/en/quick-start/installation\",\n              },\n              {\n                text: \"Upgrade Guide\",\n                link: \"/en/quick-start/upgrade-guide\",\n              },\n              { text: \"FAQ\", link: \"/en/quick-start/faq\" },\n            ],\n          },\n          {\n            text: \"Developer Guide\",\n            items: [\n              {\n                text: \"Overview\",\n                link: \"/en/developer-guide/overview\",\n              },\n              {\n                text: \"Environment Preparation\",\n                link: \"/en/developer-guide/environment-setup\",\n              },\n            ],\n          },\n          {\n            text: \"User Guide\",\n            items: [\n              { text: \"Home Page\", link: \"/en/user-guide/home-page\" },\n              { text: \"Start Chat\", link: \"/en/user-guide/start-chat\" },\n              {\n                text: \"Quick Setup\",\n                link: \"/en/user-guide/quick-setup\",\n              },\n              { text: \"Agent Space\", link: \"/en/user-guide/agent-space\" },\n              { text: \"Agent Market\", link: \"/en/user-guide/agent-market\" },\n              {\n                text: \"Agent Development\",\n                link: \"/en/user-guide/agent-development\",\n              },\n              {\n                text: \"Knowledge Base\",\n                link: \"/en/user-guide/knowledge-base\",\n              },\n              { text: \"MCP Tools\", link: \"/en/user-guide/mcp-tools\" },\n              { text: \"Monitoring & Ops\", link: \"/en/user-guide/monitor\" },\n              {\n                text: \"Model Management\",\n                link: \"/en/user-guide/model-management\",\n              },\n              {\n                text: \"Memory Management\",\n                link: \"/en/user-guide/memory-management\",\n              },\n              { text: \"User Management\", link: \"/en/user-guide/user-management\" },\n              {\n                text: \"Local Tools\",\n                items: [\n                  { text: \"Overview\", link: \"/en/user-guide/local-tools/\" },\n                  { text: \"File Tools\", link: \"/en/user-guide/local-tools/file-tools\" },\n                  { text: \"Email Tools\", link: \"/en/user-guide/local-tools/email-tools\" },\n                  { text: \"Search Tools\", link: \"/en/user-guide/local-tools/search-tools\" },\n                  { text: \"Multimodal Tools\", link: \"/en/user-guide/local-tools/multimodal-tools\" },\n                  { text: \"Terminal Tool\", link: \"/en/user-guide/local-tools/terminal-tool\" },\n                ],\n              },\n            ],\n          },\n          {\n            text: \"SDK Documentation\",\n            items: [\n              { text: \"Overview\", link: \"/en/sdk/overview\" },\n              { text: \"Basic Usage\", link: \"/en/sdk/basic-usage\" },\n              { text: \"Features Explained\", link: \"/en/sdk/features\" },\n              {\n                text: \"Core Modules\",\n                items: [\n                  { text: \"Agents\", link: \"/en/sdk/core/agents\" },\n                  { text: \"Tools\", link: \"/en/sdk/core/tools\" },\n                  { text: \"Models\", link: \"/en/sdk/core/models\" },\n                ],\n              },\n              { text: \"Performance Monitoring\", link: \"/en/sdk/monitoring\" },\n              { text: \"Vector Database\", link: \"/en/sdk/vector-database\" },\n              { text: \"Data Processing\", link: \"/en/sdk/data-process\" },\n            ],\n          },\n          {\n            text: \"Frontend Development\",\n            items: [\n              { text: \"Overview\", link: \"/en/frontend/overview\" },\n            ],\n          },\n          {\n            text: \"Backend Development\",\n            items: [\n              { text: \"Overview\", link: \"/en/backend/overview\" },\n              { text: \"API Reference\", link: \"/en/backend/api-reference\" },\n              {\n                text: \"Tools Integration\",\n                items: [\n                  {\n                    text: \"Nexent Tools\",\n                    link: \"/en/backend/tools/nexent-native\",\n                  },\n                  {\n                    text: \"LangChain Tools\",\n                    link: \"/en/backend/tools/langchain\",\n                  },\n                  { text: \"MCP Tools\", link: \"/en/backend/tools/mcp\" },\n                ],\n              },\n              {\n                text: \"Prompt Development\",\n                link: \"/en/backend/prompt-development\",\n              },\n              {\n                text: \"Version Management\",\n                link: \"/en/backend/version-management\",\n              },\n            ],\n          },\n          {\n            text: \"Documentation Development\",\n            items: [\n              { text: \"Docs Development Guide\", link: \"/en/docs-development\" },\n            ],\n          },\n          {\n            text: \"Container Build & Containerized Development\",\n            items: [\n              { text: \"Docker Build\", link: \"/en/deployment/docker-build\" },\n              { text: \"Dev Container\", link: \"/en/deployment/devcontainer\" },\n            ],\n          },\n          {\n            text: \"MCP Ecosystem\",\n            items: [\n              { text: \"Overview\", link: \"/en/mcp-ecosystem/overview\" },\n              { text: \"MCP Recommendations\", link: \"/en/mcp-ecosystem/mcp-recommendations\" },\n              { text: \"Use Cases\", link: \"/en/mcp-ecosystem/use-cases\" },\n            ],\n          },\n          {\n            text: \"Testing\",\n            items: [\n              { text: \"Overview\", link: \"/en/testing/overview\" },\n              { text: \"Backend Testing\", link: \"/en/testing/backend\" },\n            ],\n          },\n          {\n            text: \"Community\",\n            items: [\n              { text: \"Contributing\", link: \"/en/contributing\" },\n              {\n                text: \"Open Source Memorial Wall\",\n                link: \"/en/opensource-memorial-wall\",\n              },\n              { text: \"Code of Conduct\", link: \"/en/code-of-conduct\" },\n              { text: \"Security Policy\", link: \"/en/security\" },\n              { text: \"Core Contributors\", link: \"/en/contributors\" },\n              { text: \"License\", link: \"/en/license\" },\n            ],\n          },\n        ],\n        socialLinks: [\n          {\n            icon: \"github\",\n            link: \"https://github.com/ModelEngine-Group/nexent\",\n          },\n          { icon: \"discord\", link: \"https://discord.gg/tb5H3S3wyv\" },\n          { icon: \"wechat\", link: \"http://nexent.tech/contact\" },\n        ],\n      },\n    },\n    zh: {\n      label: \"简体中文\",\n      lang: \"zh-CN\",\n      themeConfig: {\n        nav: [\n          { text: \"首页\", link: \"http://nexent.tech\" },\n          { text: \"文档\", link: \"/zh/getting-started/overview\" },\n        ],\n        sidebar: [\n          {\n            text: \"概览\",\n            items: [\n              { text: \"项目概览\", link: \"/zh/getting-started/overview\" },\n              { text: \"核心特性\", link: \"/zh/getting-started/features\" },\n              {\n                text: \"软件架构\",\n                link: \"/zh/getting-started/software-architecture\",\n              },\n            ],\n          },\n          {\n            text: \"快速开始\",\n            items: [\n              { text: \"安装部署\", link: \"/zh/quick-start/installation\" },\n              {\n                text: \"升级指导\",\n                link: \"/zh/quick-start/upgrade-guide\",\n              },\n              { text: \"常见问题\", link: \"/zh/quick-start/faq\" },\n            ],\n          },\n          {\n            text: \"开发者指南\",\n            items: [\n              {\n                text: \"概览\",\n                link: \"/zh/developer-guide/overview\",\n              },\n              {\n                text: \"环境准备\",\n                link: \"/zh/developer-guide/environment-setup\",\n              },\n            ],\n          },\n          {\n            text: \"用户指南\",\n            items: [\n              { text: \"首页\", link: \"/zh/user-guide/home-page\" },\n              { text: \"开始问答\", link: \"/zh/user-guide/start-chat\" },\n              { text: \"快速配置\", link: \"/zh/user-guide/quick-setup\" },\n              { text: \"智能体空间\", link: \"/zh/user-guide/agent-space\" },\n              { text: \"智能体市场\", link: \"/zh/user-guide/agent-market\" },\n              {\n                text: \"智能体开发\",\n                link: \"/zh/user-guide/agent-development\",\n              },\n              {\n                text: \"知识库\",\n                link: \"/zh/user-guide/knowledge-base\",\n              },\n              { text: \"MCP工具\", link: \"/zh/user-guide/mcp-tools\" },\n              { text: \"监控与运维\", link: \"/zh/user-guide/monitor\" },\n              { text: \"模型管理\", link: \"/zh/user-guide/model-management\" },\n              { text: \"记忆管理\", link: \"/zh/user-guide/memory-management\" },\n              { text: \"用户管理\", link: \"/zh/user-guide/user-management\" },\n              {\n                text: \"本地工具\",\n                items: [\n                  { text: \"概览\", link: \"/zh/user-guide/local-tools/\" },\n                  { text: \"文件工具\", link: \"/zh/user-guide/local-tools/file-tools\" },\n                  { text: \"邮件工具\", link: \"/zh/user-guide/local-tools/email-tools\" },\n                  { text: \"搜索工具\", link: \"/zh/user-guide/local-tools/search-tools\" },\n                  { text: \"多模态工具\", link: \"/zh/user-guide/local-tools/multimodal-tools\" },\n                  { text: \"终端工具\", link: \"/zh/user-guide/local-tools/terminal-tool\" },\n                ],\n              },\n            ],\n          },\n          {\n            text: \"SDK 文档\",\n            items: [\n              { text: \"概览\", link: \"/zh/sdk/overview\" },\n              { text: \"基本使用\", link: \"/zh/sdk/basic-usage\" },\n              { text: \"特性详解\", link: \"/zh/sdk/features\" },\n              {\n                text: \"核心模块\",\n                items: [\n                  { text: \"智能体模块\", link: \"/zh/sdk/core/agents\" },\n                  { text: \"工具模块\", link: \"/zh/sdk/core/tools\" },\n                  { text: \"模型模块\", link: \"/zh/sdk/core/models\" },\n                ],\n              },\n              { text: \"性能监控\", link: \"/zh/sdk/monitoring\" },\n              { text: \"向量数据库\", link: \"/zh/sdk/vector-database\" },\n              { text: \"数据处理\", link: \"/zh/sdk/data-process\" },\n            ],\n          },\n          {\n            text: \"前端开发\",\n            items: [{ text: \"概览\", link: \"/zh/frontend/overview\" }],\n          },\n          {\n            text: \"后端开发\",\n            items: [\n              { text: \"概览\", link: \"/zh/backend/overview\" },\n              { text: \"API 文档\", link: \"/zh/backend/api-reference\" },\n              {\n                text: \"工具集成\",\n                items: [\n                  {\n                    text: \"Nexent 工具\",\n                    link: \"/zh/backend/tools/nexent-native\",\n                  },\n                  {\n                    text: \"LangChain 工具\",\n                    link: \"/zh/backend/tools/langchain\",\n                  },\n                  { text: \"MCP 工具\", link: \"/zh/backend/tools/mcp\" },\n                ],\n              },\n              { text: \"提示词开发\", link: \"/zh/backend/prompt-development\" },\n              { text: \"版本管理\", link: \"/zh/backend/version-management\" },\n            ],\n          },\n          {\n            text: \"文档开发\",\n            items: [{ text: \"开发指南\", link: \"/zh/docs-development\" }],\n          },\n          {\n            text: \"容器构建与容器化开发\",\n            items: [\n              { text: \"镜像构建\", link: \"/zh/deployment/docker-build\" },\n              { text: \"容器开发\", link: \"/zh/deployment/devcontainer\" },\n            ],\n          },\n          {\n            text: \"MCP 生态系统\",\n            items: [\n              { text: \"概览\", link: \"/zh/mcp-ecosystem/overview\" },\n              { text: \"MCP 推荐\", link: \"/zh/mcp-ecosystem/mcp-recommendations\" },\n              { text: \"用例场景\", link: \"/zh/mcp-ecosystem/use-cases\" },\n            ],\n          },\n          {\n            text: \"测试\",\n            items: [\n              { text: \"概览\", link: \"/zh/testing/overview\" },\n              { text: \"后端测试\", link: \"/zh/testing/backend\" },\n            ],\n          },\n          {\n            text: \"社区\",\n            items: [\n              { text: \"贡献指南\", link: \"/zh/contributing\" },\n              { text: \"开源纪念墙\", link: \"/zh/opensource-memorial-wall\" },\n              { text: \"行为准则\", link: \"/zh/code-of-conduct\" },\n              { text: \"安全政策\", link: \"/zh/security\" },\n              { text: \"核心贡献者\", link: \"/zh/contributors\" },\n              { text: \"许可证\", link: \"/zh/license\" },\n            ],\n          },\n        ],\n        socialLinks: [\n          {\n            icon: \"github\",\n            link: \"https://github.com/ModelEngine-Group/nexent\",\n          },\n          { icon: \"discord\", link: \"https://discord.gg/tb5H3S3wyv\" },\n          { icon: \"wechat\", link: \"http://nexent.tech/contact\" },\n        ],\n      },\n    },\n  },\n\n  themeConfig: {\n    logo: \"/Nexent Logo.jpg\",\n    socialLinks: [\n      { icon: \"github\", link: \"https://github.com/ModelEngine-Group/nexent\" },\n    ],\n  },\n});\n"
  },
  {
    "path": "doc/docs/.vitepress/theme/index.ts",
    "content": "// https://vitepress.dev/guide/custom-theme\nimport { h } from 'vue'\nimport type { Theme } from 'vitepress'\nimport DefaultTheme from 'vitepress/theme'\nimport './style.css'\n\nexport default {\n  extends: DefaultTheme,\n  Layout: () => {\n    return h(DefaultTheme.Layout, null, {\n      // https://vitepress.dev/guide/extending-default-theme#layout-slots\n    })\n  },\n  enhanceApp({ app, router, siteData }) {\n    // ...\n  }\n} satisfies Theme\n"
  },
  {
    "path": "doc/docs/.vitepress/theme/style.css",
    "content": "/**\n * Customize default theme styling by overriding CSS variables:\n * https://github.com/vuejs/vitepress/blob/main/src/client/theme-default/styles/vars.css\n */\n\n/**\n * Colors\n *\n * Each colors have exact same color scale system with 3 levels of solid\n * colors with different brightness, and 1 soft color.\n *\n * - `XXX-1`: The most solid color used mainly for colored text. It must\n *   satisfy the contrast ratio against when used on top of `XXX-soft`.\n *\n * - `XXX-2`: The color used mainly for hover state of the button.\n *\n * - `XXX-3`: The color for solid background, such as bg color of the button.\n *   It must satisfy the contrast ratio with pure white (#ffffff) text on\n *   top of it.\n *\n * - `XXX-soft`: The color used for subtle background such as custom container\n *   or badges. It must satisfy the contrast ratio when putting `XXX-1` colors\n *   on top of it.\n *\n *   The soft color must be semi transparent alpha channel. This is crucial\n *   because it allows adding multiple \"soft\" colors on top of each other\n *   to create a accent, such as when having inline code block inside\n *   custom containers.\n *\n * - `default`: The color used purely for subtle indication without any\n *   special meanings attached to it such as bg color for menu hover state.\n *\n * - `brand`: Used for primary brand colors, such as link text, button with\n *   brand theme, etc.\n *\n * - `tip`: Used to indicate useful information. The default theme uses the\n *   brand color for this by default.\n *\n * - `warning`: Used to indicate warning to the users. Used in custom\n *   container, badges, etc.\n *\n * - `danger`: Used to show error, or dangerous message to the users. Used\n *   in custom container, badges, etc.\n * -------------------------------------------------------------------------- */\n\n:root {\n  --vp-c-default-1: var(--vp-c-gray-1);\n  --vp-c-default-2: var(--vp-c-gray-2);\n  --vp-c-default-3: var(--vp-c-gray-3);\n  --vp-c-default-soft: var(--vp-c-gray-soft);\n\n  --vp-c-brand-1: var(--vp-c-indigo-1);\n  --vp-c-brand-2: var(--vp-c-indigo-2);\n  --vp-c-brand-3: var(--vp-c-indigo-3);\n  --vp-c-brand-soft: var(--vp-c-indigo-soft);\n\n  --vp-c-tip-1: var(--vp-c-brand-1);\n  --vp-c-tip-2: var(--vp-c-brand-2);\n  --vp-c-tip-3: var(--vp-c-brand-3);\n  --vp-c-tip-soft: var(--vp-c-brand-soft);\n\n  --vp-c-warning-1: var(--vp-c-yellow-1);\n  --vp-c-warning-2: var(--vp-c-yellow-2);\n  --vp-c-warning-3: var(--vp-c-yellow-3);\n  --vp-c-warning-soft: var(--vp-c-yellow-soft);\n\n  --vp-c-danger-1: var(--vp-c-red-1);\n  --vp-c-danger-2: var(--vp-c-red-2);\n  --vp-c-danger-3: var(--vp-c-red-3);\n  --vp-c-danger-soft: var(--vp-c-red-soft);\n}\n\n/**\n * Component: Button\n * -------------------------------------------------------------------------- */\n\n:root {\n  --vp-button-brand-border: transparent;\n  --vp-button-brand-text: var(--vp-c-white);\n  --vp-button-brand-bg: var(--vp-c-brand-3);\n  --vp-button-brand-hover-border: transparent;\n  --vp-button-brand-hover-text: var(--vp-c-white);\n  --vp-button-brand-hover-bg: var(--vp-c-brand-2);\n  --vp-button-brand-active-border: transparent;\n  --vp-button-brand-active-text: var(--vp-c-white);\n  --vp-button-brand-active-bg: var(--vp-c-brand-1);\n}\n\n/**\n * Component: Home\n * -------------------------------------------------------------------------- */\n\n:root {\n  --vp-home-hero-name-color: transparent;\n  --vp-home-hero-name-background: -webkit-linear-gradient(\n    120deg,\n    #bd34fe 30%,\n    #41d1ff\n  );\n\n  --vp-home-hero-image-background-image: linear-gradient(\n    -45deg,\n    #bd34fe 50%,\n    #47caff 50%\n  );\n  --vp-home-hero-image-filter: blur(44px);\n}\n\n@media (min-width: 640px) {\n  :root {\n    --vp-home-hero-image-filter: blur(56px);\n  }\n}\n\n@media (min-width: 960px) {\n  :root {\n    --vp-home-hero-image-filter: blur(68px);\n  }\n}\n\n/**\n * Component: Custom Block\n * -------------------------------------------------------------------------- */\n\n:root {\n  --vp-custom-block-tip-border: transparent;\n  --vp-custom-block-tip-text: var(--vp-c-text-1);\n  --vp-custom-block-tip-bg: var(--vp-c-brand-soft);\n  --vp-custom-block-tip-code-bg: var(--vp-c-brand-soft);\n}\n\n/**\n * Component: Algolia\n * -------------------------------------------------------------------------- */\n\n.DocSearch {\n  --docsearch-primary-color: var(--vp-c-brand-1) !important;\n}\n\n/**\n * Component: Logo\n * -------------------------------------------------------------------------- */\n\n.VPNavBarTitle .logo {\n  border-radius: 8px;\n  padding: 0px;\n  background-color: rgba(255, 255, 255, 0.1);\n  transition: all 0.2s ease;\n}\n\n.VPNavBarTitle .logo:hover {\n  background-color: rgba(255, 255, 255, 0.15);\n  transform: scale(1.4);\n}\n\n/* Dark mode logo styling */\n.dark .VPNavBarTitle .logo {\n  background-color: rgba(255, 255, 255, 0.05);\n}\n\n.dark .VPNavBarTitle .logo:hover {\n  background-color: rgba(255, 255, 255, 0.1);\n}\n\n"
  },
  {
    "path": "doc/docs/en/backend/api-reference.md",
    "content": "# Backend API Reference\n\n## 🔗 Access API Docs\n\nThe backend API reference is maintained in Apifox. Please visit the live documentation here:\n\n[Nexent API](https://8icfxll43r.apifox.cn)\n"
  },
  {
    "path": "doc/docs/en/backend/overview.md",
    "content": "# Backend Architecture Overview\n\nNexent's backend is built with FastAPI and Python, providing a robust and scalable API platform for AI agent services.\n\n## Technology Stack\n\n- **Framework**: FastAPI\n- **Language**: Python 3.10+\n- **Database**: PostgreSQL + Redis + Elasticsearch\n- **File Storage**: MinIO\n- **Task Queue**: Celery + Ray\n- **AI Framework**: smolagents\n- **Vector Database**: Elasticsearch\n\n## Directory Structure\n\n```\nbackend/\n├── apps/                         # API application layer\n│   ├── base_app.py              # FastAPI main application\n│   ├── agent_app.py             # Agent-related APIs\n│   ├── conversation_management_app.py # Conversation management APIs\n│   ├── file_management_app.py   # File management APIs\n│   ├── knowledge_app.py         # Knowledge base APIs\n│   ├── model_managment_app.py   # Model management APIs\n│   ├── config_sync_app.py       # Configuration sync APIs\n│   └── voice_app.py             # Voice-related APIs\n├── services/                     # Business service layer\n│   ├── agent_service.py         # Agent business logic\n│   ├── conversation_management_service.py # Conversation management\n│   ├── vectordatabase_service.py # Search engine service\n│   ├── model_health_service.py  # Model health checks\n│   ├── prompt_service.py        # Prompt service\n│   └── tenant_config_service.py # Tenant configuration service\n├── database/                     # Data access layer\n│   ├── client.py                # Database connections\n│   ├── db_models.py             # Database models\n│   ├── agent_db.py              # Agent data operations\n│   ├── conversation_db.py       # Conversation data operations\n│   ├── knowledge_db.py          # Knowledge base data operations\n│   └── tenant_config_db.py      # Tenant configuration data operations\n├── agents/                       # Agent core logic\n│   ├── agent_run_manager.py     # Agent execution manager\n│   ├── create_agent_info.py     # Agent information creation\n│   └── default_agents/          # Default agent configurations\n├── data_process/                 # Data processing module\n│   ├── app.py                   # Data processing application\n│   ├── config.py                # Data processing configuration\n│   ├── tasks.py                 # Data processing tasks\n│   ├── worker.py                # Data processing worker\n│   └── utils.py                 # Data processing utilities\n├── utils/                        # Utility classes\n│   ├── auth_utils.py            # Authentication utilities\n│   ├── config_utils.py          # Configuration utilities\n│   ├── file_management_utils.py # File management utilities\n│   ├── logging_utils.py         # Logging utilities\n│   └── thread_utils.py          # Thread utilities\n├── consts/                       # Constants definition\n│   ├── const.py                 # System constants\n│   └── model.py                 # Data models\n├── prompts/                      # Prompt templates\n│   ├── knowledge_summary_agent.yaml # Knowledge base summary agent\n│   ├── manager_system_prompt_template.yaml # Manager system prompt\n│   └── utils/                   # Prompt utilities\n├── sql/                         # SQL scripts\n├── assets/                      # Backend resource files\n├── config_service.py            # Config service entry point\n├── runtime_service.py           # Runtime service entry point\n├── data_process_service.py      # Data processing service entry point\n└── requirements.txt             # Python dependencies\n```\n\n## Architecture Responsibilities\n\n### **Application Layer (apps)**\n- API route definitions\n- Request parameter validation\n- Response formatting\n- Authentication and authorization\n\n### **Service Layer (services)**\n- Core business logic implementation\n- Data processing and transformation\n- External service integration\n- Business rule enforcement\n\n### **Data Layer (database)**\n- Database operations and ORM models\n- Data access interfaces\n- Transaction management\n- Data consistency and integrity\n\n### **Agent Layer (agents)**\n- AI agent core logic and execution\n- Tool calling and integration\n- Reasoning and decision making\n- Agent lifecycle management\n\n### **Utility Layer (utils)**\n- Common utility functions\n- Configuration management\n- Logging and monitoring\n- Thread and process management\n\n## Core Services\n\n### Agent Management\n- Agent creation and configuration\n- Execution lifecycle management\n- Tool integration and calling\n- Performance monitoring\n\n### Conversation Management\n- Message handling and storage\n- Context management\n- History tracking\n- Multi-tenant support\n\n### Knowledge Base\n- Document processing and indexing\n- Vector search and retrieval\n- Content summarization\n- Knowledge graph construction\n\n### File Management\n- Multi-format file processing\n- MinIO storage integration\n- Batch processing capabilities\n- Metadata extraction\n\n### Model Integration\n- Multiple model provider support\n- Health monitoring and failover\n- Load balancing and caching\n- Performance optimization\n\n## Data Flow Architecture\n\n### 1. User Request Flow\n```\nUser Input → Frontend Validation → API Call → Backend Routing → Business Service → Data Access → Database\n```\n\n### 2. AI Agent Execution Flow\n```\nUser Message → Agent Creation → Tool Calling → Model Inference → Streaming Response → Result Storage\n```\n\n### 3. Knowledge Base File Processing Flow\n```\nFile Upload → Temporary Storage → Data Processing → Vectorization → Knowledge Base Storage → Index Update\n```\n\n### 4. Real-time File Processing Flow\n```\nFile Upload → Temporary Storage → Data Processing → Agent → Response\n```\n\n## Deployment Architecture\n\n### Container Services\n- **nexent**: Backend service (port 5010)\n- **nexent-data-process**: Data processing service (port 5012)\n- **nexent-postgresql**: Database (port 5434)\n- **nexent-elasticsearch**: Search engine (port 9210)\n- **nexent-minio**: Object storage (port 9010)\n- **redis**: Cache service (port 6379)\n\n### Optional Services\n- **nexent-openssh-server**: SSH server for Terminal tool (port 2222)\n\n## Development Setup\n\n### Environment Setup\n```bash\ncd backend\nuv sync && uv pip install -e ../sdk\n```\n\n### Service Startup\n```bash\npython backend/data_process_service.py   # Data processing service\npython backend/config_service.py         # Config service\npython backend/runtime_service.py        # Runtime service\npython backend/mcp_service.py            # MCP service\n```\n\n## Performance and Scalability\n\n### Async Architecture\n- Based on asyncio for high-performance async processing\n- Thread-safe concurrent processing mechanisms\n- Optimized for distributed task queues\n\n### Caching Strategy\n- Multi-layer caching for improved response speed\n- Redis for session and temporary data\n- Elasticsearch for search result caching\n\n### Load Balancing\n- Intelligent concurrent limiting\n- Resource pool management\n- Auto-scaling capabilities\n\nFor detailed backend development guidelines, see the [Developer Guide](../developer-guide/overview)."
  },
  {
    "path": "doc/docs/en/backend/prompt-development.md",
    "content": "# Prompt Development Guide\n\nThis guide explains how Nexent prompt templates are organized under `backend/prompts/` and how to extend them for new agents.\n\n## 📂 File Layout & Naming\n\n- Core templates live in `backend/prompts/` using `{agent_type}_agent.yaml` or `{scope}_prompt_template.yaml`.\n- Utility templates are under `backend/prompts/utils/` for meta generation (e.g., prompt/title helpers).\n\n## 🧩 Template Structure\n\nEach YAML may contain:\n- `system_prompt`: role, responsibilities, execution flow, tool/sub-agent usage rules, Python code constraints, and examples.\n- `planning`: `initial_facts`, `initial_plan`, update hooks before/after facts or plans.\n- `managed_agent`: prompts for delegating tasks and collecting reports from sub-agents.\n- `final_answer`: pre/post messages to shape final output.\n- `tools_requirement`: priorities and guardrails for tool usage.\n- `few_shots`: examples to steer behavior.\n\n## 🔄 Variables\n\nCommon placeholders for runtime rendering:\n- `tools`, `managed_agents`\n- `task`, `remaining_steps`\n- `authorized_imports`\n- `facts_update`, `answer_facts`\n\n## 📑 Key Templates\n\n- Manager agents: `manager_system_prompt_template.yaml`, `manager_system_prompt_template_en.yaml`\n- Managed agents: `managed_system_prompt_template.yaml`, `managed_system_prompt_template_en.yaml`\n- Knowledge summary: `knowledge_summary_agent.yaml`, `knowledge_summary_agent_en.yaml`\n- File analysis: `analyze_file.yaml`, `analyze_file_en.yaml`\n- Cluster summary: `cluster_summary_agent.yaml`, `cluster_summary_reduce.yaml` (and `_zh` variants)\n- Utilities (`utils/`): `prompt_generate*.yaml`, `generate_title*.yaml`\n\n## 🚀 How to Extend\n\n1. Copy the closest existing template and adjust `system_prompt`/`planning` for your scenario.\n2. Keep placeholders intact unless intentionally removed.\n3. Align tool lists with actual tools available to the agent; update `authorized_imports` if needed.\n4. Validate with a small task to ensure flows (`Think → Code → Observe → Repeat`) produce the expected behavior.\n\n## ✅ Standards & Tips\n\n- Use executable code fences for runnable snippets: ````py````, and display-only fences for non-executable examples.\n- Prefer keyword args for tool calls; avoid excessive tool invocations per step.\n- Keep comments and docstrings in English and respect repository coding rules.\n"
  },
  {
    "path": "doc/docs/en/backend/tools/index.md",
    "content": "# Backend Tools Documentation\n\nThis section covers the tool ecosystem available in Nexent's backend infrastructure.\n\n## Available Tool Categories\n\n### LangChain Tools\nIntegrate with the LangChain ecosystem for advanced AI workflows.\n→ [LangChain Tools Guide](./langchain)\n\n### MCP Tools\nModel Context Protocol tools for standardized AI agent communication.\n→ [MCP Tools Development](./mcp)\n\n## Quick Start\n\n1. **Choose your tool type**: LangChain for general AI workflows, MCP for standardized agent communication\n2. **Follow the integration guide**: Each tool type has specific setup requirements\n3. **Test your integration**: Use the provided examples to validate your setup\n4. **Build your agents**: Combine tools to create powerful AI agents\n\n## SDK Integration\n\nFor SDK-level tool development, see:\n→ [SDK Tools Documentation](../../sdk/core/tools)\n\n## Need Help?\n\n- Check our [FAQ](../../quick-start/faq) for common tool integration issues\n- Join our [Discord community](https://discord.gg/tb5H3S3wyv) for real-time support\n- Review [GitHub Issues](https://github.com/ModelEngine-Group/nexent/issues) for known issues"
  },
  {
    "path": "doc/docs/en/backend/tools/langchain.md",
    "content": "# Custom Tools in LangChain (Python Guide)\n\n> Example code can be found in `backend/mcp_service/langchain/compute_tool.py`\n>\n> Reference: <https://python.langchain.ac.cn/docs/how_to/custom_tools/>\n\n---\n\n## 1. Environment Setup\n\n```bash\npip install langchain\n```\n\n---\n\n## 2. Using the `@tool` Decorator\n\nThe quickest way to turn a regular Python function into a LangChain **Tool** is to add the `@tool` decorator. LangChain will automatically expose the function to Agents/Chains.\n\n```python\n@tool\ndef add(a: int, b: int) -> int:\n    \"\"\"Return the sum of two integers\"\"\"\n    return a + b\n```\n\n### Key Points\n\n1. The **function signature** determines the tool's parameters.\n2. The **docstring** becomes the tool description—critical for the LLM to pick the right tool.\n\n---\n\n## 3. Parameter Annotations & `parse_docstring`\n\nYou can add rich descriptions via type annotations or let LangChain parse the docstring.\n\n```python\n@tool(parse_docstring=True)\n\ndef subtraction(a: int, b: int) -> int:\n    \"\"\"Subtract two numbers.\n\n    Args:\n        a (int): minuend\n        b (int): subtrahend\n    \"\"\"\n    return a - b\n```\n\n- With `parse_docstring=True`, LangChain reads the **Args:** section—equivalent to using `Annotated`.\n\n---\n\n## 4. Custom Input Schema (`args_schema`)\n\nFor many or complex parameters, define a Pydantic model and attach it via `args_schema`.\n\n```python\nclass DivisionInput(BaseModel):\n    num1: int = Field(description=\"dividend\")\n    num2: int = Field(description=\"divisor\")\n\n@tool(\"division\", args_schema=DivisionInput)\n\ndef division(num1: int, num2: int) -> float:\n    \"\"\"Return num1 / num2\"\"\"\n    return num1 / num2\n```\n\nBenefits:\n\n- Automatically generates a JSON schema → more accurate tool calls.\n- Built-in type validation.\n\n---\n\n## 5. Using `StructuredTool.from_function`\n\nNeed finer control (sync/async, direct return, etc.)? Use `StructuredTool` directly.\n\n```python\ndef exponentiation_func(num: int, power: int) -> int:\n    \"\"\"Return *num* raised to *power*\"\"\"\n    return num ** power\n\nexponentiation = StructuredTool.from_function(\n    func=exponentiation_func,\n    name=\"exponentiation\",\n    description=\"Calculate exponentiation\",\n    args_schema=ExponentiationInput,\n    return_direct=True,  # whether the result is returned to the user directly\n    coroutine=...,       # specify an async implementation if desired\n)\n```\n\nExplanation of arguments:\n\n- `name` / `description`: shown to the LLM when deciding which tool to call.\n- `args_schema`: same Pydantic model approach as above.\n- `return_direct=True`: if `True`, the tool output bypasses the LLM and is returned as-is.\n- `coroutine`: supply an **async** version (`async def`) of the tool for async environments; defaults to the sync `func` if omitted.\n\n---\n\n## 6. Subclassing `BaseTool` (Advanced)\n\nFor full control over sync/async execution or when you need to return both a user-visible message and an internal artifact, subclass `BaseTool`.\n\n```python\nfrom langchain_core.tools import BaseTool\nfrom typing import Tuple, List\n\nclass GenerateRandomFloats(BaseTool):\n    name = \"generate_random_floats\"\n    description = \"Generate an array of random floats\"\n    response_format = \"content_and_artifact\"  # return text + artifact\n\n    ndigits: int = 2  # custom attribute\n\n    def _run(self, min: float, max: float, size: int) -> Tuple[str, List[float]]:\n        import random\n        arr = [round(random.uniform(min, max), self.ndigits) for _ in range(size)]\n        content = f\"Generated {size} random floats in the range [{min}, {max}].\"\n        return content, arr\n\n# instantiate if desired\nrandom_floats_tool = GenerateRandomFloats()\n```\n\n> **Tip:** Implement `_arun` for an async version.\n\n---\n\n## 7. Error Handling\n\nYou can attach custom error handling logic to a tool.\n\n```python\ndef _handle_error(error: ToolException) -> str:\n    return f\"Tool error: {error.args[0]}\"\n\nget_weather_tool = StructuredTool.from_function(\n    func=get_weather,\n    handle_tool_error=_handle_error,\n)\n```\n\n---\n\n## 8. Returning **content** & **artifact** (Optional)\n\n- **content**: human-readable text sent back to the model.\n- **artifact**: kept in the chain context for later tools or UI but hidden from the model itself.\n\n```python\n@tool(response_format=\"content_and_artifact\")\n\ndef generate_random_ints(min: int, max: int, size: int):\n    import random\n    arr = [random.randint(min, max) for _ in range(size)]\n    return f\"Generated {size} random integers.\", arr\n```\n\n---\n\n## 9. Plugging Tools into an Agent / Chain\n\n```python\nfrom langchain_openai import ChatOpenAI\nfrom langchain.agents import AgentExecutor, create_openai_functions_agent\n\nllm = ChatOpenAI(model_name=\"gpt-4o-mini\")\n\ntools = [add, subtraction, multiply, division, exponentiation]\n\nagent = create_openai_functions_agent(llm, tools)\nagent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)\n\n# Try it out\na gent_executor.invoke({\"input\": \"What is 3 to the power of 5?\"})\n```\n\nYou should see something like:\n\n1. The LLM decides to call `exponentiation` based on tool descriptions.\n2. The tool returns `243`.\n3. The agent relays the result to the user.\n\n---\n\n## 10. Recap\n\n1. `@tool` → quickest path to a tool.\n2. `args_schema` + Pydantic → validated, well-described parameters.\n3. `StructuredTool` / `BaseTool` → advanced control (async, error handling, artifacts).\n4. Clear `name`, `description`, and parameter docs are key for the LLM to choose the right tool.\n\nHappy building with LangChain! 🎉\n"
  },
  {
    "path": "doc/docs/en/backend/tools/mcp.md",
    "content": "# Model Context Protocol (MCP)\n\n## 🌟 What is MCP?\n\nModel Context Protocol (MCP) is an open standard for connecting AI apps to external systems (data, tools, workflows), similar to a \"USB-C for AI.\" It standardizes how hosts (e.g., Claude Desktop, Nexent) discover and call tools/resources exposed by MCP servers.\n\n## 🧭 What can MCP do?\n\n- **Tools**: Functions callable by the LLM with user approval\n- **Resources**: File-like data that clients can read\n- **Prompts**: Reusable templates shared by servers\n- Works over a simple protocol so hosts can connect to local or remote servers consistently\n\n## 🌐 Language Support\n\nThe MCP protocol provides SDKs for multiple programming languages:\n\n- **Python** ⭐ (recommended for beginners)\n- **TypeScript**\n- **Java**\n- **Go**\n- **Rust**\n- Any other language that implements the MCP protocol\n\nWe recommend **Python** because it offers beginner-friendly syntax, rich ecosystem with frameworks like FastMCP, rapid prototyping capabilities, and thousands of mature libraries.\n\n## 🚀 Quick Start\n\n### 📋 Prerequisites\n\nInstall FastMCP before you start coding:\n\n```bash\npip install fastmcp\n```\n\n### 📝 Basic Example\n\nCreate a simple string utility server with FastMCP:\n\n```python\nfrom fastmcp import FastMCP\n\n# Create an MCP server instance\nmcp = FastMCP(name=\"String MCP Server\")\n\n@mcp.tool(\n    name=\"calculate_string_length\",\n    description=\"Calculate the length of a string\"\n)\ndef calculate_string_length(text: str) -> int:\n    return len(text)\n\n@mcp.tool(\n    name=\"to_uppercase\",\n    description=\"Convert text to uppercase\"\n)\ndef to_uppercase(text: str) -> str:\n    return text.upper()\n\n@mcp.tool(\n    name=\"to_lowercase\",\n    description=\"Convert text to lowercase\"\n)\ndef to_lowercase(text: str) -> str:\n    return text.lower()\n\nif __name__ == \"__main__\":\n    # Start with SSE transport\n    mcp.run(transport=\"sse\", port=8000)\n```\n\n### 🏃 Run the Server\n\nSave the code as `mcp_server.py` and execute:\n\n```bash\npython mcp_server.py\n```\n\nYou should see the server start successfully with the endpoint `http://127.0.0.1:8000/sse`.\n\n## 🔌 Integrate with Nexent\n\nOnce your MCP server is running, connect it to Nexent:\n\n### 📍 Step 1: Start the MCP Server\n\nKeep the server process running and note the endpoint (e.g., `http://127.0.0.1:8000/sse`).\n\n### ⚙️ Step 2: Register in Nexent\n\n1. Open the **[Agent Development](../../user-guide/agent-development)** page\n2. On the \"Select Agent Tools\" tab, click **MCP Configuration** on the right\n3. Enter the server name and server URL\n   - ⚠️ **Important**:\n     - Server name must contain only letters and digits (no spaces or symbols)\n     - When Nexent runs inside Docker and MCP server runs on the host, replace `127.0.0.1` with `host.docker.internal` (e.g., `http://host.docker.internal:8000`)\n4. Click **Add** to finish registration\n\n### 🎯 Step 3: Use the MCP Tool\n\nDuring agent creation or editing, the newly registered MCP tool appears in the tool list and can be attached to any agent.\n\n## 🔧 Advanced Use Cases\n\n### 🌐 Wrap a REST API\n\nExpose existing REST APIs as MCP tools:\n\n```python\nfrom fastmcp import FastMCP\nimport requests\n\nmcp = FastMCP(\"Course Statistics Server\")\n\n@mcp.tool(\n    name=\"get_course_statistics\",\n    description=\"Get course statistics such as average, max, min, and total students\"\n)\ndef get_course_statistics(course_id: str) -> str:\n    api_url = \"https://your-school-api.com/api/courses/statistics\"\n    response = requests.get(api_url, params={\"course_id\": course_id})\n\n    if response.status_code == 200:\n        data = response.json()\n        stats = data.get(\"statistics\", {})\n        return (\n            f\"Course {course_id} statistics:\\n\"\n            f\"Average: {stats.get('average', 'N/A')}\\n\"\n            f\"Max: {stats.get('max', 'N/A')}\\n\"\n            f\"Min: {stats.get('min', 'N/A')}\\n\"\n            f\"Total Students: {stats.get('total_students', 'N/A')}\"\n        )\n    return f\"API request failed: {response.status_code}\"\n\nif __name__ == \"__main__\":\n    mcp.run(transport=\"sse\", port=8000)\n```\n\n### 🏢 Wrap an Internal Module\n\nIntegrate local business logic:\n\n```python\nfrom fastmcp import FastMCP\nfrom your_school_module import query_course_statistics\n\nmcp = FastMCP(\"Course Statistics Server\")\n\n@mcp.tool(\n    name=\"get_course_statistics\",\n    description=\"Get course statistics such as average, max, min, and total students\"\n)\ndef get_course_statistics(course_id: str) -> str:\n    try:\n        stats = query_course_statistics(course_id)\n        return (\n            f\"Course {course_id} statistics:\\n\"\n            f\"Average: {stats.get('average', 'N/A')}\\n\"\n            f\"Max: {stats.get('max', 'N/A')}\\n\"\n            f\"Min: {stats.get('min', 'N/A')}\\n\"\n            f\"Total Students: {stats.get('total_students', 'N/A')}\"\n        )\n    except Exception as exc:\n        return f\"Failed to query statistics: {exc}\"\n\nif __name__ == \"__main__\":\n    mcp.run(transport=\"sse\", port=8000)\n```\n\n## ✅ Best Practices\n\n- **Logging**: For stdio transports, avoid stdout logging (no `print`); log to stderr/files. [Logging guidance](https://modelcontextprotocol.io/docs/develop/build-server#logging-in-mcp-servers)\n- **Documentation**: Keep tool docstrings clear; FastMCP derives schema from type hints\n- **Error Handling**: Handle errors gracefully and return user-friendly text\n- **Security**: Do not hard-code secrets; load credentials from env/secret managers\n\n## 📚 Resources\n\n### 🐍 Python\n\n- [FastMCP Documentation](https://github.com/modelcontextprotocol/python-sdk)\n- [Python SDK Repository](https://github.com/modelcontextprotocol/python-sdk)\n\n### 🔤 Other Languages\n\n- [MCP TypeScript SDK](https://github.com/modelcontextprotocol/typescript-sdk)\n- [MCP Java SDK](https://github.com/modelcontextprotocol/java-sdk)\n- [MCP Go SDK](https://github.com/modelcontextprotocol/go-sdk)\n- [MCP Rust SDK](https://github.com/modelcontextprotocol/rust-sdk)\n\n### 📖 Official Documentation\n\n- [MCP Introduction](https://modelcontextprotocol.io/docs/getting-started/intro)\n- [Build MCP Server Guide](https://modelcontextprotocol.io/docs/develop/build-server)\n- [SDK Documentation](https://modelcontextprotocol.io/docs/sdk)\n- [MCP Protocol Specification](https://modelcontextprotocol.io/)\n\n### 🔗 Related Guides\n\n- [Nexent Agent Development Guide](../../user-guide/agent-development)\n- [MCP Tool Ecosystem Overview](../../mcp-ecosystem/overview)\n- [MCP Recommendations](../../mcp-ecosystem/mcp-recommendations)\n\n## 🆘 Need Help?\n\nIf you run into issues while developing MCP servers:\n\n1. Check the **[FAQ](../../quick-start/faq)**\n2. Ask questions in [GitHub Discussions](https://github.com/ModelEngine-Group/nexent/discussions)\n3. Review sample servers on the [ModelScope MCP Marketplace](https://www.modelscope.cn/mcp)\n"
  },
  {
    "path": "doc/docs/en/backend/tools/nexent-native.md",
    "content": "---\ntitle: Nexent Native Tools\n---\n\n# Nexent Native Tools\n\n## 🧭 Scope\n\nNexent native tools are developed and maintained in the official repository. If you need custom capabilities, contribute directly under `sdk/nexent/core/tools` following the existing tool patterns.\n\n## 🛠️ Development Guidelines\n\n- Build new tools alongside existing ones in `sdk/nexent/core/tools` (e.g., file, search, email, multimodal).\n- Follow the conventions documented in [Tools](../../sdk/core/tools) for structure, inputs, and messaging.\n- Keep comments/docstrings in English and align with repository rules.\n\n## 🤝 Contribution Path\n\n- Submit contributions to the Nexent official repo; external hosting is not supported for native tools.\n- Reference existing implementations and [Contributing](../../contributing) for PR workflow and standards.\n\n## 🔗 Related References\n\n- [Tools](../../sdk/core/tools)\n- [Contributing](../../contributing)\n\n"
  },
  {
    "path": "doc/docs/en/backend/version-management.md",
    "content": "# Version Information Management\n\nThe Nexent project adopts a unified version management strategy to ensure consistency between frontend and backend version information. This document describes how to manage and update project version information.\n\n## 📋 Version Number Format\n\nNexent uses Semantic Versioning:\n\n- **Format**: `vMAJOR.MINOR.PATCH` or `vMAJOR.MINOR.PATCH.BUILD` (e.g., v1.1.0 or v1.1.0.1)\n- **MAJOR**: Incompatible API changes\n- **MINOR**: New functionality in a backwards-compatible manner\n- **PATCH**: Backwards-compatible bug fixes\n- **BUILD**: Optional minor version number for more granular bugfix versions\n\n### 🏷️ Version Number Examples\n\n- `v1.2.0` - Feature update release\n- `v1.2.0.1` - Bugfix release with minor version number\n\n## 🖥️ Frontend Version Management\n\n### 📍 Version Information Location\n\nFrontend version information is fetched from the backend via API.\n\n- **Endpoint**: `GET /api/tenant_config/deployment_version`\n- **Service**: `frontend/services/versionService.ts`\n\n### 🔄 Version Update Process\n\n1. **Update backend version in code**\n\nEdit `backend/consts/const.py` to update `APP_VERSION`:\n\n```python\n# backend/consts/const.py\nAPP_VERSION=\"v1.1.0\"\n```\n\n2. **Verify Version Display**\n\n   ```bash\n   # Start the frontend service\n   cd frontend\n   npm run dev\n\n   # Check the application version displayed at the bottom of the page\n   ```\n\n### 📺 Version Display\n\nFrontend version information is displayed at the following location:\n\n- **Location**: Bottom navigation bar, located at the bottom left corner of the page.\n- **Version Format**: `v1.1.0`\n\n## ⚙️ Backend Version Management\n\n### 📍 Version Information Location\n\nBackend version information is defined in code in `backend/consts/const.py`:\n\n```python\n# backend/consts/const.py\nAPP_VERSION = \"v1.0.0\"\n```\n\n### 🔧 Version Configuration\n\nVersion is configured directly in `backend/consts/const.py`.\n\n### 📺 Version Display\n\nBackend startup will print version information in the logs:\n\n```python\n# backend/config_service.py\nlogger.info(f\"APP version is: {APP_VERSION}\")\n```\n\n### 🔄 Version Update Process\n\n1. **Update Version in Code**\n\n```python\n# Edit backend/consts/const.py\nAPP_VERSION=\"v1.1.0\"\n```\n\n2. **Verify Version Display**\n\n   ```bash\n   # Start the backend service\n   cd backend\n   python config_service.py\n\n   # Check the version information in the startup logs\n   # Output example: APP version is: v1.1.0\n   ```\n\n"
  },
  {
    "path": "doc/docs/en/code-of-conduct.md",
    "content": "\n# Contributor Covenant Code of Conduct\n\n## Our Pledge\n\nWe as members, contributors, and leaders pledge to make participation in our\ncommunity a harassment-free experience for everyone, regardless of age, body\nsize, visible or invisible disability, ethnicity, sex characteristics, gender\nidentity and expression, level of experience, education, socio-economic status,\nnationality, personal appearance, race, caste, color, religion, or sexual\nidentity and orientation.\n\nWe pledge to act and interact in ways that contribute to an open, welcoming,\ndiverse, inclusive, and healthy community.\n\n## Our Standards\n\nExamples of behavior that contributes to a positive environment for our\ncommunity include:\n\n* Demonstrating empathy and kindness toward other people\n* Being respectful of differing opinions, viewpoints, and experiences\n* Giving and gracefully accepting constructive feedback\n* Accepting responsibility and apologizing to those affected by our mistakes,\n  and learning from the experience\n* Focusing on what is best not just for us as individuals, but for the overall\n  community\n\nExamples of unacceptable behavior include:\n\n* The use of sexualized language or imagery, and sexual attention or advances of\n  any kind\n* Trolling, insulting or derogatory comments, and personal or political attacks\n* Public or private harassment\n* Publishing others' private information, such as a physical or email address,\n  without their explicit permission\n* Other conduct which could reasonably be considered inappropriate in a\n  professional setting\n\n## Enforcement Responsibilities\n\nCommunity leaders are responsible for clarifying and enforcing our standards of\nacceptable behavior and will take appropriate and fair corrective action in\nresponse to any behavior that they deem inappropriate, threatening, offensive,\nor harmful.\n\nCommunity leaders have the right and responsibility to remove, edit, or reject\ncomments, commits, code, wiki edits, issues, and other contributions that are\nnot aligned to this Code of Conduct, and will communicate reasons for moderation\ndecisions when appropriate.\n\n## Scope\n\nThis Code of Conduct applies within all community spaces, and also applies when\nan individual is officially representing the community in public spaces.\nExamples of representing our community include using an official email address,\nposting via an official social media account, or acting as an appointed\nrepresentative at an online or offline event.\n\n## Enforcement\n\nInstances of abusive, harassing, or otherwise unacceptable behavior may be\nreported to the community leaders responsible for enforcement at\n[wanmingchen1@huawei.com].\nAll complaints will be reviewed and investigated promptly and fairly.\n\nAll community leaders are obligated to respect the privacy and security of the\nreporter of any incident.\n\n## Enforcement Guidelines\n\nCommunity leaders will follow these Community Impact Guidelines in determining\nthe consequences for any action they deem in violation of this Code of Conduct:\n\n### 1. Correction\n\n**Community Impact**: Use of inappropriate language or other behavior deemed\nunprofessional or unwelcome in the community.\n\n**Consequence**: A private, written warning from community leaders, providing\nclarity around the nature of the violation and an explanation of why the\nbehavior was inappropriate. A public apology may be requested.\n\n### 2. Warning\n\n**Community Impact**: A violation through a single incident or series of\nactions.\n\n**Consequence**: A warning with consequences for continued behavior. No\ninteraction with the people involved, including unsolicited interaction with\nthose enforcing the Code of Conduct, for a specified period of time. This\nincludes avoiding interactions in community spaces as well as external channels\nlike social media. Violating these terms may lead to a temporary or permanent\nban.\n\n### 3. Temporary Ban\n\n**Community Impact**: A serious violation of community standards, including\nsustained inappropriate behavior.\n\n**Consequence**: A temporary ban from any sort of interaction or public\ncommunication with the community for a specified period of time. No public or\nprivate interaction with the people involved, including unsolicited interaction\nwith those enforcing the Code of Conduct, is allowed during this period.\nViolating these terms may lead to a permanent ban.\n\n### 4. Permanent Ban\n\n**Community Impact**: Demonstrating a pattern of violation of community\nstandards, including sustained inappropriate behavior, harassment of an\nindividual, or aggression toward or disparagement of classes of individuals.\n\n**Consequence**: A permanent ban from any sort of public interaction within the\ncommunity.\n\n## Attribution\n\nThis Code of Conduct is adapted from the [Contributor Covenant][homepage],\nversion 2.1, available at\n[https://www.contributor-covenant.org/version/2/1/code_of_conduct.html][v2.1].\n\nCommunity Impact Guidelines were inspired by\n[Mozilla's code of conduct enforcement ladder][Mozilla CoC].\n\nFor answers to common questions about this code of conduct, see the FAQ at\n[https://www.contributor-covenant.org/faq][FAQ]. Translations are available at\n[https://www.contributor-covenant.org/translations][translations].\n\n[homepage]: https://www.contributor-covenant.org\n[v2.1]: https://www.contributor-covenant.org/version/2/1/code_of_conduct.html\n[Mozilla CoC]: https://github.com/mozilla/diversity\n[FAQ]: https://www.contributor-covenant.org/faq\n[translations]: https://www.contributor-covenant.org/translations\n"
  },
  {
    "path": "doc/docs/en/contributing.md",
    "content": "# Nexent Contributing Guide\n\nThank you for considering contributing to Nexent! From code to docs to sharing your experience, every bit helps make Nexent better for everyone. It also helps us if you share Nexent with others, or simply ⭐️ the repo. Thanks a million! 💛 Let's build something amazing together! 🎉\n\nIn terms of licensing, please take a minute to read our short [License and Contributor Agreement](https://github.com/ModelEngine-Group/nexent/blob/main/LICENSE). The community also adheres to the [code of conduct](https://github.com/ModelEngine-Group/nexent/blob/main/CODE_OF_CONDUCT.md).\n\n## 🤔 How You Can Contribute\n\n### 🐛 Found a Bug?\n\nIf you've discovered a bug, please let us know! Your keen eye helps us improve Nexent for all users.\n\n### 💡 Have a Feature Idea?\n\nGot a brilliant idea to enhance Nexent? We'd love to hear it! Share your vision with us.\n\n### 💻 Want to Submit Code?\n\nWhether it's fixing a bug or adding a new feature, your code contributions are highly valued.\n\n### 📖 Want to Improve Documentation?\n\nGreat documentation is key to a great project. Help us make Nexent easier to use and understand.\n\n## 🌳 Branching Strategy GitFlow\n\n![GitFlow Workflow](../assets/git-flow.svg)\n\nGitflow is a branching model for Git that provides a structured approach to software development. It defines specific branches for different purposes, like features, releases, and hotfixes, and outlines how they should interact. This helps streamline the development process, manage releases effectively, and facilitate collaboration.\n\n### Main Branches\n- **main**: Represents the official release history and should always be deployable.\n- **develop**: The main branch for ongoing development. It integrates new features and bug fixes from feature branches.\n\n### Supporting Branches\n- **feature branches**: Used for developing new features. They branch off from develop and are merged back into it once the feature is complete.\n- **release branches**: Created when a new release is about to be prepared. They allow for final testing and minor adjustments before merging into main and develop.\n- **hotfix branches**: Used for fixing critical bugs in production. They branch off from main and are merged back into both main and develop.\n\n### Benefits of Gitflow\n- **Structured workflow**: Provides a clear and consistent process for managing different types of changes.\n- **Improved collaboration**: Facilitates teamwork by defining clear roles for branches and how they should interact.\n- **Efficient releases**: Streamlines the release process by isolating changes in dedicated branches and allowing for final testing.\n- **Reduced conflicts**: By using feature branches and release branches, it helps minimize merge conflicts and makes it easier to resolve them.\n\nFor a visual overview, see the diagram above.\n\n## 🐞 Submitting a Bug Report or Feature Request\n\n### Bug Reports\nTo help us quickly understand and fix the issue, please include:\n- A **clear title** describing the bug.\n- A **detailed description** of the issue, including steps to reproduce it.\n- Any **error messages** or logs (if applicable).\n- Expected behavior vs. actual behavior.\n- Screenshots or screen recordings (if helpful).\n\n### Feature Requests\nFor feature ideas, please provide:\n- A **clear title** summarizing the feature.\n- A **detailed description** of the feature and its benefits.\n- Any relevant **use cases** or examples.\n- Screenshots or mockups (if applicable).\n\n**Where to submit?**  \nOpen a new issue in our [GitHub Issues](https://github.com/ModelEngine-Group/nexent/issues) section and select the appropriate template (Bug Report or Feature Request).\n\n## 🌟 Quick Memorial Wall Contribution\n\nWant to leave your mark on the Open Source Memorial Wall? Here's a detailed step-by-step process designed especially for beginners:\n\n### Step 1: Edit the Memorial Wall File\n\n![Step 1](./assets/contribute_step_1.png)\n\n**Instructions:** Click the ✏️ edit button on the [Memorial Wall file](https://github.com/ModelEngine-Group/nexent/blob/develop/doc/docs/en/opensource-memorial-wall.md) directly on GitHub\n\n---\n\n### Step 2: Add Your Message\n\n![Step 2](./assets/contribute_step_2.png)\n\n**Instructions:** Add your message in the \"Community Messages\" section using this format, then click \"Commit changes\":\n\n```markdown\n::: info Your Name - 2024-01-15\nShare your open source story or experience with Nexent!\n:::\n```\n\n---\n\n### Step 3: Propose Changes\n\n![Step 3-1](./assets/contribute_step_3-1.png)\n\n![Step 3-2](./assets/contribute_step_3-2.png)\n\n**Instructions:** Click \"Propose changes\" and then \"Create pull request\" to open a PR. Then wait for it to be merged in!\n\n---\n\n### Step 4: Success!\n\n![Step 4](./assets/contribute_step_4.png)\n\n**Instructions:** After successful merge, it will be displayed on the GitHub homepage~ Congratulations on becoming one of Nexent's co-creators! 🎉\n\nThat's it! We'll review and merge your contribution as soon as possible. ✨\n\n### Memorial Wall Contribution Examples\n```markdown\n::: tip Open Source Newbie - 2024-01-15\nThanks to Nexent for getting me started on my open source journey! The documentation is really great and helped me get up to speed quickly.\n:::\n\n::: info Senior Developer - 2024-01-16\nUsed Nexent for several projects, the MCP tool integration is particularly powerful and saved me tons of development time!\n:::\n```\n\n---\n\n## 💻 Submitting Code Changes\n\n### Step 1 Fork the Repository\n🍴 Fork the [Nexent repository](https://github.com/ModelEngine-Group/nexent) to your GitHub account.\n\n### Step 2 Clone Your Fork\n📦 Clone your forked repository locally:\n```bash\ngit clone https://github.com/ModelEngine-Group/nexent.git\n```\n\n### Step 3 Create a Branch\n🌿 Create a new branch for your changes:\n```bash\ngit checkout -b your-branch-name\n```\n\n### Step 4 Make Your Changes\n🧙‍♂️ Code like a wizard! Follow our [Developer Guide](./developer-guide/overview) for setup instructions and coding standards. Ensure your changes are well-tested and documented.\n\n### Step 5 Commit Your Changes\n📝 Commit with a clear and concise message following our commit message guidelines：\n\n| Type      | Icon | Description |\n|-----------|------|-------------|\n| Refactor  | ♻️ | Code logic optimization without affecting functionality |\n| Migration | 🚚 | Moving or migrating files or modules |\n| Feature   | ✨ | Adding new features or functionality |\n| Bugfix    | 🐛 | Fixing issues or bugs |\n| Style     | 🎨 | Improving code style, formatting without changing functionality |\n| Chore     | 🔨 | Updating tools, adjusting configurations |\n| Docs      | 📝 | Documentation changes only |\n| Test      | 🧪 | Add test cases or modify test cases   |\n\nExample commit message：\n```bash\ngit commit -m \"✨ add user authentication\"\ngit commit -m \"🐛 resolve login timeout issue\"\ngit commit -m \"📝 update API documentation\"\n```\n\n### Step 6 Sync with Upstream\n⚙️ Keep your fork updated with the latest changes from the main repository:\n```bash\ngit remote add upstream https://github.com/ModelEngine-Group/nexent.git\ngit fetch upstream\ngit merge upstream/main\n```\n\n### Step 7 Open a Pull Request (PR)\n🚀 Push your changes to your fork and open a PR in the main repository. Include:\n- A **clear title** and **description** of your changes.\n- A reference to the related issue (e.g., `fixes #123`).\n- Any additional context or screenshots.\n\nOur team will review your PR and provide feedback. Collaboration makes the magic happen! ✨\n\n### Protected Branches and Code Owner Reviews\n\nWhen submitting changes to protected branches (like `main`), please note the following requirements：\n\n1. **Code Owner Review Required**\n   - The PR will automatically request reviews from relevant code owners\n   - You cannot approve your own PR\n   - Code owner approval is mandatory\n\n2. **Multiple Approvals Required**\n   - At least 2 approvals are required (including code owner approval)\n   - All CI checks must pass (lint, test, build, etc.)\n\n3. **Merge Process**\n   - After submitting the PR, the system will automatically request code owner reviews\n   - At least two approvals (including code owner) are needed\n   - The \"Merge\" button will only become available after all requirements are met\n\n4. **Restrictions**\n   - You cannot bypass reviews or force merge\n   - Direct pushes to protected branches are not allowed\n   - Self-approvals are not valid\n\n## 📖 Improving Documentation\n\nGreat documentation is a team effort! You can help by：\n- Fixing typos or clarifying unclear sections.\n- Adding missing documentation for features or setup steps.\n- Translating docs into other languages.\n\nTo contribute：\n1. Follow the same steps as for code changes (fork, clone, branch, etc.).\n2. Edit the relevant documentation files (e.g., `README.md`, `docs/`).\n3. Submit a PR with your improvements.\n\n## ❓ Need Help?\n\nStuck or have questions? We're here to help! Reach out to us via：\n- **GitHub Issues**: Open an issue for discussion.\n- **Discord**: Join our [Nexent Community](https://discord.gg/YXH5C8SQ) for real-time chat.\n- **Email**: Drop us a line at [wanmingchen1@huawei.com](mailto:wanmingchen1@huawei.com).\n\n## 🎉 Celebrate Your Contribution!\n\nThank you for being part of the Nexent journey. Your contributions make a real difference, and we can't wait to see what you create! Happy coding! 🚀🌈"
  },
  {
    "path": "doc/docs/en/contributors.md",
    "content": "# Core Contributors\n\nThe Nexent project is made possible by the dedicated work of our core team members. We would like to acknowledge their contributions and expertise.\n\n## Nexent Team\n\n### Team Manager / Product Manager\n- **Shuangrui Chen** @Phinease\n\n### Senior System Engineer\n- **Simeng Bian** @Simeng Bian\n- **Tao Liu** @liutao12138\n\n### Development Group Leader\n- **Jingyuan Li** @ljy65535\n\n### Developer\n- **Yichen Xia** @Jasonxia007\n- **Mingchen Wan** @WMC001\n- **Yu Lin** @linsensen222\n- **Wenqi Bai** @Bavichi\n- **Feiyang Xiang** @feixiangkong\n- **Peiling Jiang** @porkpink\n\n### SRE (Site Reliability Engineer)\n- **Peiling Jiang** @porkpink\n\n### Operations Manager\n- **Chenxue Jia** @Davina-jcx\n\n## Recognition\n\nWe extend our sincere gratitude to all team members for their commitment to excellence and their contributions to making Nexent a powerful and reliable AI agent platform.\n\nEach team member brings unique expertise and perspective to the project, contributing to different aspects of the platform including:\n\n- System architecture and engineering\n- Product management and strategy\n- Development and implementation\n- Operations and maintenance\n- Quality assurance and testing\n\n## Open Source Contributors\n\nWe would like to express our special thanks to the following open source contributors who have made valuable contributions to the Nexent project:\n\n- **kasper1995** - Code contributions and bug fixes\n- **feng384** - Code contributions and bug fixes\n- **Cokefish9527** - Code contributions and bug fixes\n- **lwsinclair** - Code contributions and bug fixes\n- **4cos90** - Code contributions and bug fixes\n- **xigongdaEricyang** - Community support and feedback\n- **Jenniebn** - Community support and feedback\n\n## Join Our Team\n\nIf you're interested in contributing to Nexent, please see our [Contributing Guide](/en/contributing) for more information on how to get involved.\n\n---\n\n*This list represents our core team members. For a complete list of all contributors, please visit our GitHub repository.* "
  },
  {
    "path": "doc/docs/en/deployment/devcontainer.md",
    "content": "# Nexent Dev Container Usage Guide\n\n## 1. Environment Overview\n\nThis development container configuration sets up a complete Nexent development environment, including the following components:\n\n- Main development container (`nexent-dev`): Based on nexent/nexent image with development tools\n- Service containers:\n  - Elasticsearch (`nexent-elasticsearch`)\n  - PostgreSQL (`nexent-postgresql`)\n  - MinIO (`nexent-minio`)\n  - Nexent backend (`nexent`)\n  - Nexent frontend (`nexent-web`)\n  - Data processing service (`nexent-data-process`)\n\n## 2. Usage Steps\n\n### 2.1 Prerequisites\n\n1. Install Cursor/VS Code\n2. Install Dev Containers extension (`anysphere.remote-containers` and `anysphere.remote-sshRemote`)\n3. Ensure Docker and Docker Compose are installed and running\n\n### 2.2 Starting Project with Dev Container\n\n1. Clone the project locally\n2. Open project folder in Cursor/VS Code\n3. Run `docker/deploy.sh` script in `infrastructure` mode to start containers\n4. Enter `nexent-minio` and `nexent-elasticsearch` containers, copy `MINIO_ACCESS_KEY`, `MINIO_SECRET_KEY`, `ELASTICSEARCH_API_KEY` environment variables to corresponding positions in `docker/docker-compose.dev.yml`\n5. Press `F1` or `Ctrl+Shift+P`, type `Dev Containers: Reopen in Container ...`\n6. Cursor will start the development container based on configuration in `.devcontainer` directory\n\n### 2.3 Development Workflow\n\n1. After container starts, Cursor automatically connects to development container\n2. All file editing is done within the container\n3. Develop, test, and build directly in container after modifications\n4. Git change management can be done directly in container using `git commit` or `git push`; however, pulling remote code in container is not recommended as it may cause path issues\n\n## 3. Port Mapping\n\nThe following ports are mapped in devcontainer.json:\n\n- 3000: Nexent Web interface\n- 5010: Nexent backend service\n- 5012: Data processing service\n- 9010: MinIO API\n- 9011: MinIO console\n- 9210: Elasticsearch API\n- 5434: PostgreSQL\n\n## 4. Customizing Development Environment\n\nYou can customize the development environment by modifying:\n\n- `.devcontainer/devcontainer.json` - Plugin configuration\n- `docker/docker-compose.dev.yml` - Development container build configuration, requires environment variable modification for proper startup\n\n## 5. Troubleshooting\n\nIf you encounter permission issues, you may need to run in container:\n\n```bash\nsudo chown -R $(id -u):$(id -g) /opt\n```\n\nIf container startup fails, try:\n\n1. Rebuild container: Press `F1` or `Ctrl+Shift+P`, type `Dev Containers: Rebuild Container`\n2. Check Docker logs: `docker logs nexent-dev`\n3. Check if configuration in `.env` file is correct"
  },
  {
    "path": "doc/docs/en/deployment/docker-build.md",
    "content": "### 🏗️ Build and Push Images\n\n```bash\n# 🛠️ Create and use a new builder instance that supports multi-architecture builds\ndocker buildx create --name nexent_builder --use\n\n# 🚀 build application for multiple architectures\ndocker buildx build --progress=plain --platform linux/amd64,linux/arm64 -t nexent/nexent -f make/main/Dockerfile . --push\ndocker buildx build --progress=plain --platform linux/amd64,linux/arm64 -t ccr.ccs.tencentyun.com/nexent-hub/nexent -f make/web/Dockerfile . --push\n\n# 📊 build data_process for multiple architectures\ndocker buildx build --progress=plain --platform linux/amd64,linux/arm64 -t nexent/nexent-data-process -f make/data_process/Dockerfile . --push\ndocker buildx build --progress=plain --platform linux/amd64,linux/arm64 -t ccr.ccs.tencentyun.com/nexent-hub/nexent-data-process -f make/web/Dockerfile . --push\n\n# 🌐 build web frontend for multiple architectures\ndocker buildx build --progress=plain --platform linux/amd64,linux/arm64 -t nexent/nexent-web -f make/web/Dockerfile . --push\ndocker buildx build --progress=plain --platform linux/amd64,linux/arm64 -t ccr.ccs.tencentyun.com/nexent-hub/nexent-web -f make/web/Dockerfile . --push\n\n# 📚 build documentation for multiple architectures\ndocker buildx build --progress=plain --platform linux/amd64,linux/arm64 -t nexent/nexent-docs -f make/docs/Dockerfile . --push\ndocker buildx build --progress=plain --platform linux/amd64,linux/arm64 -t ccr.ccs.tencentyun.com/nexent-hub/nexent-docs -f make/docs/Dockerfile . --push\n\n# 🔗 build MCP Server for multiple architectures\ndocker buildx build --progress=plain --platform linux/amd64,linux/arm64 -t nexent/nexent-mcp -f make/mcp/Dockerfile . --push\ndocker buildx build --progress=plain --platform linux/amd64,linux/arm64 -t ccr.ccs.tencentyun.com/nexent-hub/nexent-mcp -f make/mcp/Dockerfile . --push\n\n# 💻 build Ubuntu Terminal for multiple architectures\ndocker buildx build --progress=plain --platform linux/amd64,linux/arm64 -t nexent/nexent-terminal -f make/terminal/Dockerfile . --push\ndocker buildx build --progress=plain --platform linux/amd64,linux/arm64 -t ccr.ccs.tencentyun.com/nexent-hub/nexent-terminal -f make/terminal/Dockerfile . --push\n```\n\n### 💻 Local Development Build\n\n```bash\n# 🚀 Build application image (current architecture only)\ndocker build --progress=plain -t nexent/nexent -f make/main/Dockerfile .\n\n# 📊 Build data process image (current architecture only)\ndocker build --progress=plain -t nexent/nexent-data-process -f make/data_process/Dockerfile .\n\n# 🌐 Build web frontend image (current architecture only)\ndocker build --progress=plain -t nexent/nexent-web -f make/web/Dockerfile .\n\n# 📚 Build documentation image (current architecture only)\ndocker build --progress=plain -t nexent/nexent-docs -f make/docs/Dockerfile .\n\n# 🔗 Build MCP Server image (current architecture only)\ndocker build --progress=plain -t nexent/nexent-mcp -f make/mcp/Dockerfile .\n\n# 💻 Build OpenSSH Server image (current architecture only)\ndocker build --progress=plain -t nexent/nexent-ubuntu-terminal -f make/terminal/Dockerfile .\n```\n\n### 🧹 Clean up Docker resources\n\n```bash\n# 🧼 Clean up Docker build cache and unused resources\ndocker builder prune -f && docker system prune -f\n```\n\n### 🔧 Image Descriptions\n\n#### Main Application Image (nexent/nexent)\n- Contains backend API service\n- Built from `make/main/Dockerfile`\n- Provides core agent services\n\n#### Data Processing Image (nexent/nexent-data-process)\n- Contains data processing service\n- Built from `make/data_process/Dockerfile`\n- Handles document parsing and vectorization\n\n#### Web Frontend Image (nexent/nexent-web)\n- Contains Next.js frontend application\n- Built from `make/web/Dockerfile`\n- Provides user interface\n\n#### Documentation Image (nexent/nexent-docs)\n- Contains Vitepress documentation site\n- Built from `make/docs/Dockerfile`\n- Provides project documentation and API reference\n\n#### MCP Server Image (nexent/nexent-mcp)\n- Contains MCP (Model Context Protocol) proxy service\n- Built from `make/mcp/Dockerfile`\n- Provides MCP server functionality for AI model integration\n\n##### Pre-installed Tools and Features\n- **Python Environment**: Python 3.10 + pip\n- **MCP Proxy**: mcp-proxy package for protocol handling\n- **Node.js**: Node.js 20.17.0 with npm\n- **Architecture Support**: linux/amd64, linux/arm64\n- **Base Image**: python:3.10-slim\n\n#### OpenSSH Server Image (nexent/nexent-ubuntu-terminal)\n- Ubuntu 24.04-based SSH server container\n- Built from `make/terminal/Dockerfile`\n- Pre-installed with Conda, Python, Git and other development tools\n- Supports SSH key authentication with username `linuxserver.io`\n- Provides complete development environment\n\n##### Pre-installed Tools and Features\n- **Python Environment**: Python 3 + pip + virtualenv\n- **Conda Management**: Miniconda3 environment management\n- **Development Tools**: Git, Vim, Nano, Curl, Wget\n- **Build Tools**: build-essential, Make\n- **SSH Service**: Port 2222, root login and password authentication disabled\n- **User Permissions**: `linuxserver.io` user has sudo privileges (no password required)\n- **Timezone Setting**: Asia/Shanghai\n- **Security Configuration**: SSH key authentication, 60-minute session timeout\n\n### 🏷️ Tagging Strategy\n\nEach image is pushed to two repositories:\n- `nexent/*` - Main public image repository\n- `ccr.ccs.tencentyun.com/nexent-hub/*` - Tencent Cloud image repository (China region acceleration)\n\nAll images include:\n- `nexent/nexent` - Main application backend service\n- `nexent/nexent-data-process` - Data processing service\n- `nexent/nexent-web` - Next.js frontend application\n- `nexent/nexent-docs` - Vitepress documentation site\n- `nexent/nexent-mcp` - MCP server proxy service\n- `nexent/nexent-ubuntu-terminal` - OpenSSH development server container\n\n## 📚 Documentation Image Standalone Deployment\n\nThe documentation image can be built and run independently to serve nexent.tech/doc:\n\n### Build Documentation Image\n\n```bash\ndocker build -t nexent/nexent-docs -f make/docs/Dockerfile .\n```\n\n### Run Documentation Container\n\n```bash\ndocker run -d --name nexent-docs -p 4173:4173 nexent/nexent-docs\n```\n\n### Check Container Status\n\n```bash\ndocker ps\n```\n\n### View Container Logs\n\n```bash\ndocker logs nexent-docs\n```\n\n### Stop and Remove Container\n\n```bash\ndocker stop nexent-docs\n```\n\n```bash\ndocker rm nexent-docs\n```\n\nNotes:\n- 🔧 Use `--platform linux/amd64,linux/arm64` to specify target architectures\n- 📤 The `--push` flag automatically pushes the built images to Docker Hub\n- 🔑 Make sure you are logged in to Docker Hub (`docker login`)\n- ⚠️ If you encounter build errors, ensure Docker's buildx feature is enabled\n- 🧹 Cleanup commands explanation:\n  - `docker builder prune -f`: Cleans build cache\n  - `docker system prune -f`: Cleans unused data (including dangling images, networks, etc.)\n  - The `-f` flag forces execution without confirmation\n- 🔧 The `--load` flag loads the built image into the local Docker images list\n- ⚠️ `--load` can only be used with single architecture builds\n- 📝 Use `docker images` to verify the images are loaded locally\n- 📊 Use `--progress=plain` to see detailed build and push progress\n- 📈 Use `--build-arg MIRROR=...` to set up a pip mirror to accelerate your build-up progress\n\n## 🚀 Deployment Recommendations\n\nAfter building is complete, you can use the docker/deploy.sh script for deployment, or directly start the services using docker-compose.\n\n> When starting a test of locally built images, you need to change APP_VERSION=\"$(get_app_version)\" to APP_VERSION=\"latest\" in docker/deploy.sh, because the deployment will default to using the image corresponding to the current version.\n"
  },
  {
    "path": "doc/docs/en/developer-guide/environment-setup.md",
    "content": "---\ntitle: Environment Preparation\n---\n\n# Environment Preparation\n\nUse this guide to prepare your environment before developing with Nexent. It separates full-stack project setup from SDK-only workflows so you can follow the path that fits your role.\n\n## 🧱 Common Requirements\n\n- Python 3.10+\n- Node.js 18+\n- Docker & Docker Compose\n- `uv` (Python package manager)\n- `pnpm` (Node.js package manager)\n\n## 🧑‍💻 Full-Stack Nexent Development\n\n### 1. Infrastructure Deployment\n\nBefore backend work, start core services (PostgreSQL, Redis, Elasticsearch, MinIO, etc.).\n\n```bash\n# Run from the docker directory at the project root\ncd docker\n./deploy.sh --mode infrastructure\n```\n\n:::: info Important Notes\nInfrastructure mode launches PostgreSQL, Redis, Elasticsearch, and MinIO. The script generates required credentials and saves them in the project root `.env`. URLs are configured as localhost endpoints for easy local development.\n::::\n\n### 2. Backend Setup\n\n```bash\n# Run inside the backend directory\ncd backend\nuv sync --all-extras\nuv pip install ../sdk\n```\n\n:::: tip Notes\n`--all-extras` installs every optional dependency (data processing, testing, etc.). After syncing, install the local SDK package.\n::::\n\n#### Optional: Accelerate with Mirror Sources\n\nIf downloads are slow, use domestic mirrors:\n\n```bash\n# Tsinghua mirror\nuv sync --all-extras --default-index https://pypi.tuna.tsinghua.edu.cn/simple\nuv pip install ../sdk --default-index https://pypi.tuna.tsinghua.edu.cn/simple\n\n# Alibaba Cloud mirror\nuv sync --all-extras --default-index https://mirrors.aliyun.com/pypi/simple/\nuv pip install ../sdk --default-index https://mirrors.aliyun.com/pypi/simple/\n\n# Multiple mirrors (recommended)\nuv sync --all-extras --index https://pypi.tuna.tsinghua.edu.cn/simple --index https://mirrors.aliyun.com/pypi/simple/\nuv pip install ../sdk --index https://pypi.tuna.tsinghua.edu.cn/simple --index https://mirrors.aliyun.com/pypi/simple/\n```\n\n:::: info Mirror Source Reference\n- Tsinghua: `https://pypi.tuna.tsinghua.edu.cn/simple`\n- Alibaba Cloud: `https://mirrors.aliyun.com/pypi/simple/`\n- USTC: `https://pypi.mirrors.ustc.edu.cn/simple/`\n- Douban: `https://pypi.douban.com/simple/`\nUsing multiple mirrors improves success rates.\n::::\n\n### 3. Frontend Setup\n\n```bash\n# Run inside the frontend directory\ncd frontend\npnpm install\npnpm dev\n```\n\n### 4. Service Startup\n\nActivate the backend virtual environment before starting services.\n\n```bash\n# Run inside backend directory\ncd backend\nsource .venv/bin/activate\n```\n\n:::: warning Important Notes\nOn Windows, activate the environment with `source .venv/Scripts/activate`.\n::::\n\nStart the backend services from the project root, in order:\n\n```bash\n# Always run from project root with environment variables loaded\nsource .env && python backend/mcp_service.py\nsource .env && python backend/data_process_service.py\nsource .env && python backend/config_service.py\nsource .env && python backend/runtime_service.py\n```\n\n:::: warning Important Notes\nEach command must run from the project root and be prefixed with `source .env`. Ensure databases, Redis, Elasticsearch, and MinIO (from infrastructure mode) are healthy first.\n::::\n\n## 🧰 SDK-Only Development\n\nIf you only need the SDK (without running the entire stack), install it directly.\n\n### 1. Install from Source\n\n```bash\ngit clone https://github.com/ModelEngine-Group/nexent.git\ncd nexent/sdk\nuv pip install -e .\n```\n\n### 2. Install with uv\n\n```bash\nuv add nexent\n```\n\n### 3. Development Extras\n\nFor SDK contributors, install with development dependencies:\n\n```bash\ncd nexent/sdk\nuv pip install -e \".[dev]\"\n```\n\nThis adds:\n\n- Code quality tools (ruff)\n- Testing framework (pytest)\n- Data processing dependencies (unstructured)\n- Other developer utilities\n\n"
  },
  {
    "path": "doc/docs/en/developer-guide/overview.md",
    "content": "# Nexent Development Guide\n\nThis guide provides comprehensive information for developers to understand and contribute to the Nexent project, covering architecture, technology stack, development environment setup, and best practices.\n\n## 🏗️ Overall Architecture\n\n```\nnexent/\n├── frontend/          # Frontend application (Next.js + TypeScript)\n├── backend/           # Backend services (FastAPI + Python)\n├── sdk/              # Python SDK\n├── docker/           # Docker deployment configuration\n├── make/             # Build scripts\n├── test/             # Test code\n└── assets/           # Static resources\n```\n\n## 🛠️ Technology Stack\n\n### Frontend Tech Stack\n- **Framework**: Next.js 14 (App Router)\n- **Language**: TypeScript\n- **UI Library**: React + Tailwind CSS\n- **State Management**: React Hooks\n- **Internationalization**: react-i18next\n- **HTTP Client**: Fetch API\n\n### Backend Tech Stack\n- **Framework**: FastAPI\n- **Language**: Python 3.10+\n- **Database**: PostgreSQL + Redis + Elasticsearch\n- **File Storage**: MinIO\n- **Task Queue**: Celery + Ray\n- **AI Framework**: smolagents\n- **Vector Database**: Elasticsearch\n\n### Deployment Tech Stack\n- **Containerization**: Docker + Docker Compose\n- **Reverse Proxy**: Nginx\n- **Monitoring**: Built-in health checks\n- **Logging**: Structured logging\n\n## 🧱 Environment Preparation\n\nAll setup steps now live in the dedicated [Environment Preparation](./environment-setup) guide. It covers:\n\n- Shared prerequisites for every contributor\n- Full-stack Nexent setup (infrastructure, backend, frontend, runtime services)\n- SDK-only installation workflows for developers who only need the Python package\n\nReview that guide first, then return here for module-specific details.\n\n## 🔧 Development Module Guide\n\n### 🎨 Frontend Development\n- **Tech Stack**: Next.js 14 + TypeScript + React + Tailwind CSS\n- **Core Features**: User interface, real-time chat, configuration management, internationalization\n- **Details**: See [Frontend Overview](../frontend/overview.md)\n\n### 🔧 Backend Development\n- **Tech Stack**: FastAPI + Python 3.10+ + PostgreSQL + Redis + Elasticsearch\n- **Core Features**: API services, agent management, data processing, vector search\n- **Details**: See [Backend Overview](../backend/overview.md)\n\n### 🤖 AI Agent Development\n- **Framework**: Enterprise agent framework based on smolagents\n- **Core Features**: Agent creation, tool integration, reasoning execution, multi-modal support\n- **Custom Agents**: See [Agents](../sdk/core/agents)\n- **System Prompts**: Located in `backend/prompts/`\n- **Implementation Steps**: Create instance → Configure tools → Set prompts → Test run\n- **Details**: See [Agents](../sdk/core/agents)\n\n### 🛠️ Tool Development\n- **MCP Tool System**: Based on Model Context Protocol\n- **Development Flow**: Implement logic → Register tool → Restart service\n- **Protocol Compliance**: Tool development must follow MCP protocol\n- **Detailed Specification**: See [Tool Development Guide](../sdk/core/tools.md)\n\n### 📦 SDK Development Kit\n- **Features**: Complete interfaces for AI agents, model calling, tool integration\n- **Modules**: Core agents, data processing, vector database\n- **Details**: See [SDK Overview](../sdk/overview.md)\n\n### 📊 Data Processing\n- **File Processing**: Supports 20+ formats\n- **Chunking Strategies**: basic, by_title, none\n- **Streaming Processing**: Memory optimization for large files\n- **Details**: See [Data Processing Guide](../sdk/data-process.md)\n\n## 🏗️ Build & Deployment\n\n### Docker Build\nFor detailed build instructions, see [Docker Build Guide](../deployment/docker-build.md)\n\n## 📋 Development Best Practices & Important Notes\n\n### Code Quality\n1. **Test-Driven**: Write unit tests and integration tests\n2. **Code Review**: Follow team coding standards\n3. **Documentation**: Update related documentation timely\n4. **Error Handling**: Comprehensive exception handling and logging\n\n### Performance Optimization\n1. **Async Processing**: Use async architecture for performance\n2. **Caching Strategy**: Proper use of caching mechanisms\n3. **Resource Management**: Pay attention to memory and connection pool management\n4. **Monitoring & Debugging**: Use performance monitoring tools\n\n### Security Considerations\n1. **Input Validation**: Strictly validate all input parameters\n2. **Access Control**: Implement appropriate access controls\n3. **Sensitive Information**: Properly handle sensitive data like API keys\n4. **Security Updates**: Regular dependency and security updates\n\n### Important Development Notes\n1. **Service Dependencies**: Ensure all services are started before testing\n2. **Code Changes**: Restart related services after code modifications\n3. **Development Mode**: Use debug mode in development environment\n4. **Prompt Testing**: System prompts need thorough testing\n5. **Environment Variables**: Ensure configuration in `.env` file is correct\n6. **Infrastructure**: Ensure infrastructure services are running properly before development\n\n## 💡 Getting Help\n\n### Documentation Resources\n- [Installation Guide](../quick-start/installation) - Environment setup and deployment\n- [FAQ](../quick-start/faq) - Frequently asked questions\n- [User Guide](../user-guide/home-page) - Nexent user guide\n\n### Community Support\n- [Discord Community](https://discord.gg/tb5H3S3wyv) - Real-time communication and support\n- [GitHub Issues](https://github.com/ModelEngine-Group/nexent/issues) - Issue reporting and feature requests"
  },
  {
    "path": "doc/docs/en/docs-development.md",
    "content": "# Documentation Development Guide\n\n## 📘 Introduction\nWe use VitePress to develop and manage our documentation. This guide explains how to add, edit, preview, and build docs in this project with a consistent structure for both Chinese and English.\n\n## 🗂️ Project Structure\n```text\n/doc\n  ├─ package.json\n  └─ docs\n      ├─ .vitepress\n      │   └─ config.mts        # Site & sidebar configuration\n      ├─ cn                    # Chinese docs\n      ├─ en                    # English docs\n      ├─ assets                # Site assets\n      ├─ public                # Static public assets\n      └─ index.md\n```\n\n## 📦 Install Dependencies\nFrom the `doc` directory:\n\n```bash\npnpm install\n```\n\n## 💻 Local Development\nStart the dev server:\n\n```bash\npnpm vitepress dev docs\n```\n\nAfter successfully start, visit:\n\n- `http://localhost:5173/`\n\n## ✍️ Add or Edit Docs\n- Put Chinese docs under `doc/docs/zh` and English docs under `doc/docs/en`.\n- Use kebab-case file names, e.g., `getting-started.md`.\n- Routes map to file paths, e.g.:\n  - `doc/docs/zh/foo/bar.md` → `/zh/foo/bar`\n  - `doc/docs/en/foo/bar.md` → `/en/foo/bar`\n\n## 🧭 Sidebar and Navigation\n- The sidebar is configured in `doc/docs/.vitepress/config.mts`.\n- An entry for this guide has been added right after \"Backend Development\": `/zh/docs-development` (Chinese) and `/en/docs-development` (English).\n- For new pages, add links in the corresponding locale's sidebar and ensure paths match the file locations.\n\n## 🖼️ Assets\n- Prefer `doc/docs/public` for shared assets and reference them using absolute paths, e.g., `/images/logo.png`.\n- Page-specific assets can live alongside the page and be referenced via relative paths.\n\n## ✅ Build and Validate\nBefore committing, build the docs to check for dead links and other issues:\n\n```bash\npnpm run docs:build\n```\n\nPreview the production build locally:\n\n```bash\npnpm run docs:preview\n```\n"
  },
  {
    "path": "doc/docs/en/frontend/overview.md",
    "content": "# Frontend Architecture Overview\n\nNexent's frontend is built with modern React technologies, providing a responsive and intuitive user interface for AI agent interactions.\n\n## Technology Stack\n\n- **Framework**: Next.js 14 (App Router)\n- **Language**: TypeScript\n- **UI Library**: React + Tailwind CSS\n- **State Management**: React Hooks\n- **Internationalization**: react-i18next\n- **HTTP Client**: Fetch API\n\n## Directory Structure\n\n```\nfrontend/\n├── app/                          # Next.js App Router\n│   └── [locale]/                 # Internationalization routes (zh/en)\n│       ├── chat/                 # Chat interface\n│       │   ├── internal/         # Chat core logic\n│       │   ├── layout/           # Chat interface layout components\n│       │   └── streaming/        # Streaming response handling\n│       ├── setup/                # System settings pages\n│       │   ├── agentSetup/       # Agent configuration\n│       │   ├── knowledgeBaseSetup/ # Knowledge base configuration\n│       │   └── modelSetup/       # Model configuration\n│       └── layout.tsx            # Global layout\n├── components/                    # Reusable UI components\n│   ├── providers/                # Context providers\n│   └── ui/                       # Basic UI component library\n├── services/                     # API service layer\n│   ├── api.ts                    # Basic API configuration\n│   ├── conversationService.ts    # Conversation service\n│   ├── agentConfigService.ts     # Agent configuration service\n│   ├── knowledgeBaseService.ts   # Knowledge base service\n│   └── modelService.ts           # Model service\n├── hooks/                        # Custom React Hooks\n├── lib/                          # Utility libraries\n├── types/                        # TypeScript type definitions\n├── public/                       # Static resources\n│   └── locales/                  # Internationalization files\n└── middleware.ts                 # Next.js middleware\n```\n\n## Architecture Responsibilities\n\n### **Presentation Layer**\n- User interface and interaction logic\n- Component-based architecture for reusability\n- Responsive design for multiple devices\n\n### **Service Layer**\n- Encapsulates API calls and data transformation\n- Handles communication with backend services\n- Manages error handling and retry logic\n\n### **State Management**\n- React Hooks for component state management\n- Context providers for global state\n- Real-time updates for streaming responses\n\n### **Internationalization**\n- Support for English and Chinese languages\n- Dynamic language switching\n- Localized content and UI elements\n\n### **Routing Management**\n- Based on Next.js App Router\n- Locale-aware routing\n- Dynamic route generation\n\n## Key Features\n\n### Real-time Chat Interface\n- Streaming response handling\n- Message history management\n- Multi-modal input support (text, voice, images)\n\n### Configuration Management\n- Model provider configuration\n- Agent behavior customization\n- Knowledge base management\n\n### Responsive Design\n- Mobile-first approach\n- Adaptive layouts\n- Touch-friendly interactions\n\n### Performance Optimization\n- Server-side rendering (SSR)\n- Static site generation (SSG)\n- Code splitting and lazy loading\n- Image optimization\n\n## Development Workflow\n\n### Setup\n```bash\ncd frontend\nnpm install\nnpm run dev\n```\n\n### Building for Production\n```bash\nnpm run build\nnpm start\n```\n\n### Code Quality\n- ESLint for code linting\n- Prettier for code formatting\n- TypeScript for type safety\n- Husky for pre-commit hooks\n\n## Integration Points\n\n### Backend Communication\n- RESTful API calls\n- WebSocket for real-time features\n- Authentication and authorization\n- Error handling and user feedback\n\n### External Services\n- Model provider APIs\n- File upload and management\n- Voice processing integration\n- Analytics and monitoring\n\nFor detailed development guidelines and component documentation, see the [Developer Guide](../developer-guide/overview)."
  },
  {
    "path": "doc/docs/en/getting-started/features.md",
    "content": "# Key Features\n\nNexent provides powerful capabilities for building and deploying AI agents with minimal effort. Here are the core features that make Nexent unique.\n\n## 🧠 Smart Agent Prompt Generation\n\nTurn plain language into runnable prompts. Nexent automatically chooses the right tools and plans the best action path for every request.\n\n![Feature 1](../../assets/Feature1.png)\n\n## ⚡ Scalable Data Process Engine\n\nProcess 20+ data formats with fast OCR and table structure extraction, scaling smoothly from a single process to large-batch pipelines.\n\n![Feature 2](../../assets/Feature2.png)\n\n## 📚 Personal-Grade Knowledge Base\n\nImport files in real time, auto-summarise them, and let agents access both personal and global knowledge instantly, also knowing what it can get from each knowledge base.\n\n![Feature 3](../../assets/Feature3.png)\n\n## 🌐 Internet Knowledge Search\n\nConnect to 5+ web search providers so agents can mix fresh internet facts with your private data.\n\n![Feature 4](../../assets/Feature4.png)\n\n## 🔍 Knowledge-Level Traceability\n\nServe answers with precise citations from web and knowledge-base sources, making every fact verifiable.\n\n![Feature 5](../../assets/Feature5.png)\n\n## 🎭 Multimodal Understanding & Dialogue\n\nSpeak, type, files, or show images. Nexent understands voice, text, and pictures, and can even generate new images on demand.\n\n![Feature 6](../../assets/Feature6.png)\n\n## 🔧 MCP Tool Ecosystem\n\nDrop in or build Python plug-ins that follow the MCP spec; swap models, tools, and chains without touching core code.\n\n![Feature 7](../../assets/Feature7.png)\n\n## 🏗️ Architecture Benefits\n\n### ⚡ Distributed Processing Capabilities\n- **Asynchronous Architecture**: High-performance asynchronous processing based on asyncio\n- **Multi-threading Safety**: Thread-safe concurrent processing mechanisms\n- **Celery Integration**: Optimized for distributed task queues\n- **Batch Optimization**: Intelligent batch operations to reduce network overhead\n\n### 🏢 Enterprise-grade Scalability\n- **Modular Design**: Loose-coupled module architecture for easy extension\n- **Plugin-based Tools**: Standardized tool interfaces for rapid integration\n- **Configuration Management**: Flexible configuration system supporting multi-environment deployment\n- **Monitoring Friendly**: Comprehensive logging and status monitoring\n\n### 🚀 High-performance Optimization\n- **Connection Pooling**: Intelligent reuse of database and HTTP connections\n- **Memory Management**: Stream processing of large files and memory optimization\n- **Concurrency Control**: Intelligent concurrency limiting and load balancing\n- **Caching Strategy**: Multi-layer caching to improve response speed\n\nFor detailed information about Nexent's software architecture and technical advantages, see our **[Software Architecture](./software-architecture)** guide.\n\n## 🎯 Use Cases\n\nNexent is designed for various scenarios including:\n- **Business Intelligence**: Automated data analysis and reporting\n- **Customer Support**: Intelligent chat agents with knowledge base integration\n- **Content Processing**: Document analysis, summarization, and extraction\n- **Research Assistance**: Academic paper analysis and information synthesis\n- **Personal Productivity**: Smart assistants for daily tasks and information management\n\nFor detailed agent scenarios and real-world implementations, see our **[MCP Ecosystem Use Cases](../mcp-ecosystem/use-cases)**."
  },
  {
    "path": "doc/docs/en/getting-started/overview.md",
    "content": "# Nexent\n\nNexent is a zero-code platform for auto-generating agents — no orchestration, no complex drag-and-drop required, using pure language to develop any agent you want. Built on the MCP ecosystem with rich tool integration, Nexent also provides various built-in agents to meet your intelligent service needs in different scenarios such as work, travel, and daily life. Nexent offers powerful capabilities for agent running control, multi-agent collaboration, data processing and knowledge tracing, multimodal dialogue, and batch scaling.\n\n> One prompt. Endless reach.\n\n![Nexent Banner](../../assets/NexentBanner.png)\n\n## 🎬 Demo Video\n\n<video controls width=\"100%\" style=\"max-width: 800px;\">\n  <source src=\"https://github.com/user-attachments/assets/b844e05d-5277-4509-9463-1c5b3516f11e\" type=\"video/mp4\" />\n  <p>Your browser does not support the video tag. <a href=\"https://github.com/user-attachments/assets/b844e05d-5277-4509-9463-1c5b3516f11e\">View the demo video</a></p>\n</video>\n\n## 🤝 Join Our Community\n\n> *If you want to go fast, go alone; if you want to go far, go together.*\n\nWe have released **Nexent v1**, and the platform is now relatively stable. However, there may still be some bugs, and we are continuously improving and adding new features. Stay tuned: we will announce **v2.0** soon!\n\n* **🗺️ Check our [Feature Map](https://github.com/orgs/ModelEngine-Group/projects/6)** to explore current and upcoming features.\n* **🔍 Try the current build** and leave ideas or bugs in the [Issues](https://github.com/ModelEngine-Group/nexent/issues) tab.\n\n> *Rome wasn't built in a day.*\n\nIf our vision speaks to you, jump in via the **[Contribution Guide](../contributing)** and shape Nexent with us.\n\nEarly contributors won't go unnoticed: from special badges and swag to other tangible rewards, we're committed to thanking the pioneers who help bring Nexent to life.\n\nMost of all, we need visibility. Star ⭐ and watch the [GitHub repository](https://github.com/ModelEngine-Group/nexent), share it with friends, and help more developers discover Nexent — your click brings new hands to the project and keeps the momentum growing.\n\n## ✨ Key Features\n\nNexent offers a comprehensive set of features for building powerful AI agents:\n\n- **🤖 Smart Agent Generation** - Zero-code agent creation using natural language\n- **📊 Scalable Data Processing** - Handle 20+ file formats with intelligent extraction\n- **🧠 Personal Knowledge Base** - Real-time file import with auto-summarization\n- **🌐 Internet Integration** - Connect to multiple search providers and web sources\n- **🔍 Knowledge Traceability** - Precise citation and source verification\n- **🎭 Multimodal Support** - Voice, text, images, and file processing\n- **🔧 MCP Ecosystem** - Extensible tool integration and custom development\n\nFor detailed feature information and examples, see our **[Features Guide](./features)**.\n\n## 🏗️ Software Architecture\n\nNexent adopts a modern distributed microservices architecture designed to provide high-performance, scalable AI agent platform. The entire system is based on containerized deployment, supporting cloud-native and enterprise-grade application scenarios.\n\n### 🌐 Layered Architecture Design\n- **Frontend Layer** - Modern user interface built with Next.js + React + TypeScript\n- **API Gateway Layer** - FastAPI high-performance web framework for request routing and load balancing\n- **Business Logic Layer** - Agent management, conversation management, knowledge base management, and model management\n- **Data Layer** - Distributed storage architecture with PostgreSQL, Elasticsearch, Redis, and MinIO\n\n### 🚀 Core Service Architecture\n- **Agent Services** - Agent generation and execution based on SmolAgents framework\n- **Data Processing Services** - Real-time and batch processing supporting 20+ file formats\n- **MCP Ecosystem** - Standardized tool interfaces and plugin architecture\n\n### ⚡ Distributed Features\n- **Asynchronous Processing** - High-performance async processing architecture based on asyncio\n- **Microservices Design** - Service decoupling with independent scaling and deployment\n- **Containerized Deployment** - Docker Compose service orchestration supporting cloud-native deployment\n\nFor detailed architectural design and technical implementation, see our **[Software Architecture](./software-architecture)**.\n\n## ⚡ Quick Start\n\nReady to get started? Here are your next steps:\n\n1. **📋 [Installation & Deployment](../quick-start/installation)** - System requirements and deployment guide\n2. **🔧 [Developer Guide](../developer-guide/overview)** - Build from source and customize\n3. **❓ [FAQ](../quick-start/faq)** - Common questions and troubleshooting\n\n## 💬 Community & contact\n\nJoin our [Discord community](https://discord.gg/tb5H3S3wyv) to chat with other developers and get help!\n\n## 📄 License\n\nNexent is licensed under the [MIT](../license) with additional conditions. Please read the [LICENSE](../license) file for details.\n\n"
  },
  {
    "path": "doc/docs/en/getting-started/software-architecture.md",
    "content": "# Software Architecture\n\nNexent adopts a modern distributed microservices architecture designed to provide high-performance, scalable AI agent platform. The entire system is based on containerized deployment, supporting cloud-native and enterprise-grade application scenarios.\n\n![Software Architecture Diagram](../../assets/architecture_en.png)\n\n## 🏗️ Overall Architecture Design\n\nNexent's software architecture follows layered design principles, structured into the following core layers from top to bottom:\n\n### 🌐 Frontend Layer\n- **Technology Stack**: Next.js + React + TypeScript\n- **Functions**: User interface, agent interaction, multimodal input processing\n- **Features**: Responsive design, real-time communication, internationalization support\n\n### 🔌 API Gateway Layer\n- **Core Service**: FastAPI high-performance web framework\n- **Responsibilities**: Request routing, authentication, API version management, load balancing\n- **Ports**: 5010 (main service), 5012 (data processing service)\n\n### 🧠 Business Logic Layer\n- **Agent Management**: Agent generation, execution, monitoring\n- **Conversation Management**: Multi-turn dialogue, context maintenance, history tracking\n- **Knowledge Base Management**: Document processing, vectorization, retrieval\n- **Model Management**: Multi-model support, health checks, load balancing\n\n### 📊 Data Layer\nDistributed data storage architecture with multiple specialized databases:\n\n#### 🗄️ Structured Data Storage\n- **PostgreSQL**: Primary database storing user information, agent configurations, conversation records\n- **Port**: 5434\n- **Features**: ACID transactions, relational data integrity\n\n#### 🔍 Search Engine\n- **Elasticsearch**: Vector database and full-text search engine\n- **Port**: 9210\n- **Functions**: Vector similarity search, hybrid search, large-scale optimization\n\n#### 💾 Cache Layer\n- **Redis**: High-performance in-memory database\n- **Port**: 6379\n- **Usage**: Session caching, temporary data, distributed locks\n\n#### 📁 Object Storage\n- **MinIO**: Distributed object storage service\n- **Port**: 9010\n- **Functions**: File storage, multimedia resource management, large file processing\n\n## 🔧 Core Service Architecture\n\n### 🤖 Agent Services\n```\nAgent framework based on SmolAgents, providing:\n├── Agent generation and configuration\n├── Tool calling and integration\n├── Reasoning and decision execution\n└── Lifecycle management\n```\n\n### 📈 Data Processing Services\n```\nDistributed data processing architecture:\n├── Real-time document processing (20+ format support)\n├── Batch data processing pipelines\n├── OCR and table structure extraction\n└── Vectorization and index construction\n```\n\n### 🌐 MCP Ecosystem\n```\nModel Context Protocol tool integration:\n├── Standardized tool interfaces\n├── Plugin architecture\n├── Third-party service integration\n└── Custom tool development\n```\n\n## 🚀 Distributed Architecture Features\n\n### ⚡ Asynchronous Processing Architecture\n- **Foundation Framework**: High-performance async processing based on asyncio\n- **Concurrency Control**: Thread-safe concurrent processing mechanisms\n- **Task Queue**: Celery + Ray distributed task execution\n- **Stream Processing**: Real-time data and response streaming\n\n### 🔄 Microservices Design\n```\nService decomposition strategy:\n├── nexent (main service) - Agent core logic\n├── nexent-data-process (data processing) - Document processing pipeline\n├── nexent-mcp-service (MCP service) - Tool protocol service\n└── Optional services (SSH, monitoring, etc.)\n```\n\n### 🌍 Containerized Deployment\n```\nDocker Compose service orchestration:\n├── Application service containerization\n├── Database service isolation\n├── Network layer security configuration\n└── Volume mounting for data persistence\n```\n\n## 🔐 Security and Scalability\n\n### 🛡️ Security Architecture\n- **Authentication**: Multi-tenant support, user permission management\n- **Data Security**: End-to-end encryption, secure transmission protocols\n- **Network Security**: Inter-service secure communication, firewall configuration\n\n### 📈 Scalability Design\n- **Horizontal Scaling**: Independent microservice scaling, load balancing\n- **Vertical Scaling**: Resource pool management, intelligent scheduling\n- **Storage Scaling**: Distributed storage, data sharding\n\n### 🔧 Modular Architecture\n- **Loose Coupling Design**: Low inter-service dependencies, standardized interfaces\n- **Plugin Architecture**: Hot-swappable tools and models\n- **Configuration Management**: Environment isolation, dynamic configuration updates\n\n## 🔄 Data Flow Architecture\n\n### 📥 User Request Flow\n```\nUser Input → Frontend Validation → API Gateway → Route Distribution → Business Service → Data Access → Database\n```\n\n### 🤖 Agent Execution Flow\n```\nUser Message → Agent Creation → Tool Calling → Model Inference → Streaming Response → Result Storage\n```\n\n### 📚 Knowledge Base Processing Flow\n```\nFile Upload → Temporary Storage → Data Processing → Vectorization → Knowledge Base Storage → Index Update\n```\n\n### ⚡ Real-time Processing Flow\n```\nReal-time Input → Instant Processing → Agent Response → Streaming Output\n```\n\n## 🎯 Architecture Advantages\n\n### 🏢 Enterprise-grade Features\n- **High Availability**: Multi-layer redundancy, failover capabilities\n- **High Performance**: Asynchronous processing, intelligent caching\n- **High Concurrency**: Distributed architecture, load balancing\n- **Monitoring Friendly**: Comprehensive logging and status monitoring\n\n### 🔧 Developer Friendly\n- **Modular Development**: Clear hierarchical structure\n- **Standardized Interfaces**: Unified API design\n- **Flexible Configuration**: Environment adaptation, feature toggles\n- **Easy Testing**: Unit testing and integration testing support\n\n### 🌱 Ecosystem Compatibility\n- **MCP Standard**: Compliant with Model Context Protocol\n- **Open Source Ecosystem**: Integration with rich open source tools\n- **Cloud Native**: Support for Kubernetes and Docker deployment\n- **Multi-model Support**: Compatible with mainstream AI model providers\n\n---\n\nThis architectural design ensures that Nexent can provide a stable, scalable AI agent service platform while maintaining high performance. Whether for individual users or enterprise-level deployments, it delivers excellent user experience and technical assurance."
  },
  {
    "path": "doc/docs/en/license.md",
    "content": "# License\n\nNexent is licensed under the MIT License with additional conditions. This license allows for both open source and commercial use, but includes specific restrictions for certain use cases.\n\nFor any legal questions or commercial licensing inquiries, please contact the official licensing team.\n\n## Full License Text\n\n```\n# Nexent Open Source License\n\nNexent is licensed under the MIT License, with the following additional conditions:\n\nNexent is permitted to be used commercially, including as a backend service for other applications or as an application development platform for enterprises. However, when the following conditions are met, you must contact the producer to obtain a commercial license:\n\na. Multi-tenant SaaS service: Unless explicitly authorized by Nexent in writing, you may not use the Nexent source code to operate a multi-tenant SaaS service.\nb. LOGO and copyright information: In the process of using Nexent's frontend, you may not remove or modify the LOGO or copyright information in the Nexent console or applications. This restriction is inapplicable to uses of Nexent that do not involve its frontend.\n\nPlease contact zhenggaoqi@huawei.com by email to inquire about licensing matters.\n\nAs a contributor, you should agree that:\n\na. The producer can adjust the open-source agreement to be more strict or relaxed as deemed necessary.\nb. Your contributed code may be used for commercial purposes, such as Nexent's cloud business.\n\nApart from the specific conditions mentioned above, all other rights and restrictions follow the MIT License.\nDetailed information about the MIT License can be found at: https://opensource.org/licenses/MIT\n\nCopyright © 2025 Huawei Technologies Co., Ltd.\n```\n\n## Contact Information\n\nFor licensing inquiries:\n- **Email**: zhenggaoqi@huawei.com\n- **MIT License Details**: https://opensource.org/licenses/MIT\n\nPlease ensure you understand and comply with all license terms before using Nexent in your projects."
  },
  {
    "path": "doc/docs/en/mcp-ecosystem/mcp-recommendations.md",
    "content": "# MCP Recommendations\n\nThis page provides curated recommendations for MCP platforms and tools to help you quickly discover high-quality MCP services.\n\n## 🌐 MCP Community Hub\n\nThe global MCP ecosystem is thriving with multiple platforms supporting MCP development and deployment:\n\n| Platform | Description | Notes |\n|----------|-------------|-------|\n| **[GitHub MCP Server](https://github.com/github/github-mcp-server)** | Deep integration with Claude, GPT-4, Copilot etc., supports Go and Python | OAuth/GitHub account authorization |\n| **[Qdrant MCP Vector Server](https://github.com/qdrant/mcp-server-qdrant)** | Semantic vector storage with Python/Go compatibility | Compatible with LangChain and other tools |\n| **[Anthropic Reference MCP Servers](https://github.com/modelcontextprotocol/servers)** | Lightweight teaching and prototyping tools, Python | Includes fetch, git and other universal tools |\n| **[AWS Labs MCP Server](https://github.com/awslabs/mcp)** | AWS+Go+CDK cloud reference services | Suitable for cloud environments |\n| **[MCP Hub China](https://www.mcp-cn.com/)** | Chinese curated high-quality MCP service platform | Focuses on quality over quantity, community-driven |\n| **[ModelScope MCP Marketplace](https://modelscope.cn/mcp)** | China's largest MCP community with 1,500+ services | From Amap to Alipay, comprehensive service coverage |\n| **Community MCP Servers** | Various scenario-specific source code collection | Mostly experimental and innovative tools |\n\n## 🔧 Recommended MCP Tools\n\n| Tool Name | Function | Description |\n|-----------|----------|-------------|\n| **[Amap Maps](https://modelscope.cn/mcp/servers/@amap/amap-maps)** | Geographic services and navigation | Comprehensive mapping, geocoding, routing, and location services |\n| **[Bing Search (Chinese)](https://modelscope.cn/mcp/servers/@yan5236/bing-cn-mcp-server)** | Web search in Chinese | Optimized Chinese web search and information retrieval |\n| **[12306 Train Ticket Query](https://modelscope.cn/mcp/servers/@Joooook/12306-mcp)** | China railway ticket booking | Real-time train schedules, ticket availability, and booking assistance |\n| **[Alipay MCP](https://modelscope.cn/mcp/servers/@alipay/mcp-server-alipay)** | Payment and financial services | Digital payments, financial tools, and services integration |\n| **[Variflight Aviation](https://modelscope.cn/mcp/servers/@variflight-ai/variflight-mcp)** | Flight information and aviation data | Real-time flight tracking, schedules, and aviation analytics |\n| **[Sequential Thinking](https://modelscope.cn/mcp/servers/@modelcontextprotocol/sequentialthinking)** | Structured problem-solving framework | Break down complex problems into manageable, sequential steps |\n| **[ArXiv AI Search](https://modelscope.cn/mcp/servers/@blazickjp/arxiv-mcp-server)** | Academic paper search and research | Advanced search and retrieval of scientific papers and research |\n| **[Firecrawl MCP Server](https://modelscope.cn/mcp/servers/@mendableai/firecrawl-mcp-server)** | Web scraping and content extraction | Intelligent web scraping, data extraction, and content processing |\n\n## 🔗 Related Resources\n\n- [MCP Ecosystem Overview](./overview)\n- [MCP Tools Integration Guide](../backend/tools/mcp)\n- [Use Cases](./use-cases)\n"
  },
  {
    "path": "doc/docs/en/mcp-ecosystem/overview.md",
    "content": "# MCP Tool Ecosystem\n\nNexent is built on the Model Context Protocol (MCP) tool ecosystem, providing a flexible and extensible framework for integrating various tools and services. MCP serves as the \"USB-C of AI\" - a universal interface standard that allows AI agents to seamlessly connect with external data sources, tools, and services.\n\n## 📖 What is MCP?\n\nThe Model Context Protocol (MCP) is an open protocol that enables AI applications to securely connect to external data sources and tools. It provides a standardized way for AI models to access and interact with external systems, making it easier to build powerful, context-aware AI applications.\n\n## 🎯 MCP Platforms and Tools\n\nFor curated recommendations of MCP platforms and tools, please visit our [MCP Recommendations](./mcp-recommendations) page, which includes:\n\n- **MCP Community Hub**: Discover global MCP platforms and marketplaces\n- **Recommended MCP Tools**: Explore high-quality MCP services for various use cases\n\n## Benefits of MCP\n\n### Standardization\n- **Universal Interface**: MCP provides a consistent way to connect AI models with external tools\n- **Interoperability**: Tools built for one MCP-compatible platform work with others\n- **Reduced Development Time**: Standardized protocols mean less custom integration work\n\n### Security\n- **Controlled Access**: MCP provides secure, permission-based access to external resources\n- **Authentication**: Built-in support for various authentication methods\n- **Audit Trail**: Track and monitor all external interactions\n\n### Scalability\n- **Modular Design**: Add or remove tools without affecting the core application\n- **Load Distribution**: Distribute tool execution across multiple servers\n- **Version Management**: Handle different versions of tools gracefully\n\n## Getting Started with MCP\n\n1. **Explore Available Tools**: Browse the MCP marketplace to find tools that fit your needs\n2. **Install Tools**: Add MCP tools to your Nexent instance\n3. **Configure Access**: Set up authentication and permissions\n4. **Create Agents**: Build agents that leverage multiple MCP tools\n5. **Monitor Performance**: Track usage and optimize tool selection\n\nFor detailed integration guides, see our [Backend Tools Documentation](../backend/tools/).\n\n## Building Custom MCP Tools\n\nInterested in building your own MCP tools? Check out:\n- [LangChain Tools Guide](../backend/tools/langchain)\n- [MCP Tools Development](../backend/tools/mcp)\n- [SDK Tools Documentation](../sdk/core/tools)\n\nThe MCP ecosystem empowers you to build agents that can seamlessly interact with the real world, accessing live data, performing complex operations, and providing contextual assistance across virtually any domain."
  },
  {
    "path": "doc/docs/en/mcp-ecosystem/use-cases.md",
    "content": "# Suggested Agent Scenarios\n\nWith MCP's powerful ecosystem, you can create sophisticated AI agents for various scenarios. Here are some proven use cases that demonstrate the versatility and power of the Nexent platform.\n\n## 🌍 Travel Planning Agent\n\nCreate a comprehensive travel assistant that handles every aspect of your journey:\n\n- **Route Planning**: Use Amap for detailed route planning and navigation 📍\n- **Transportation**: Integrate 12306 for train bookings and scheduling 🚄  \n- **Flight Management**: Connect Variflight for real-time flight information ✈️\n- **Payment Processing**: Enable Alipay for seamless payment handling 💳\n\n**Example Capabilities**:\n- Plan multi-city itineraries with optimal routing\n- Book train tickets and track delays\n- Monitor flight status and gate changes\n- Handle payments across different services\n- Provide real-time updates and alternatives\n\n## 🔬 Research Assistant Agent\n\nBuild a powerful research companion for academic and professional work:\n\n- **Academic Search**: Leverage ArXiv search for latest academic papers 📚\n- **Web Research**: Use Bing Search for comprehensive web information 🔍\n- **Structured Analysis**: Apply Sequential Thinking for methodical research 🧠\n- **Data Extraction**: Integrate Firecrawl for web data collection 🕷️\n\n**Example Capabilities**:\n- Conduct systematic literature reviews\n- Extract and synthesize information from multiple sources\n- Generate research summaries and bibliographies\n- Track research trends and citations\n- Organize findings into structured reports\n\n## 💼 Business Intelligence Agent\n\nDevelop intelligent business analysis and decision support:\n\n- **Data Integration**: Connect multiple data sources through various MCP servers 📊\n- **Location Analytics**: Use geographic tools for location-based insights 🗺️\n- **Financial Analysis**: Integrate payment systems for financial data 💰\n- **Decision Support**: Apply structured thinking frameworks for analysis 🎯\n\n**Example Capabilities**:\n- Analyze market trends and customer behavior\n- Generate automated business reports\n- Provide location-based market insights\n- Track financial performance metrics\n- Support strategic decision making\n\n## 🏠 Smart Lifestyle Agent\n\nCreate a personal assistant for daily life optimization:\n\n- **Shopping Assistant**: Combine mapping services with payment integration 🛒\n- **Commute Optimization**: Use transportation tools for route planning 🚗\n- **Local Discovery**: Integrate web search for local recommendations 🏪\n- **Information Management**: Apply intelligent content extraction 📱\n\n**Example Capabilities**:\n- Find and compare local services and products\n- Optimize daily commute routes\n- Discover new restaurants and activities\n- Manage personal schedules and reminders\n- Handle routine transactions and bookings\n\n## 🎓 Education Support Agent\n\nBuild learning and teaching assistants:\n\n- **Content Research**: Access academic databases and papers\n- **Interactive Learning**: Provide explanations and tutorials\n- **Progress Tracking**: Monitor learning objectives and milestones\n- **Resource Discovery**: Find relevant educational materials\n\n## 🏥 Healthcare Information Agent\n\nCreate health-focused information assistants:\n\n- **Medical Research**: Search medical literature and guidelines\n- **Appointment Management**: Handle scheduling and reminders\n- **Health Tracking**: Monitor health metrics and trends\n- **Information Synthesis**: Provide clear health information summaries\n\n## 💡 Creative Content Agent\n\nDevelop agents for content creation and marketing:\n\n- **Market Research**: Analyze trends and competitor information\n- **Content Planning**: Generate ideas and content calendars\n- **SEO Optimization**: Research keywords and optimization strategies\n- **Multi-platform Publishing**: Coordinate content across platforms\n\n## Getting Started with Agent Scenarios\n\n1. **Identify Your Use Case**: Choose a scenario that matches your needs\n2. **Select MCP Tools**: Pick the appropriate tools from our ecosystem\n3. **Configure Integration**: Set up authentication and permissions\n4. **Create Your Agent**: Use Nexent's zero-code platform to build\n5. **Test and Iterate**: Refine your agent based on real-world usage\n\n## Best Practices\n\n- **Start Simple**: Begin with basic functionality and expand gradually\n- **Plan Integration**: Consider how different tools will work together\n- **Monitor Performance**: Track usage and optimize tool selection\n- **User Feedback**: Continuously improve based on user needs\n- **Security First**: Ensure proper authentication and data protection\n\nEach scenario can be customized and extended based on your specific requirements. The MCP ecosystem provides the flexibility to combine tools in innovative ways, creating powerful AI experiences tailored to your exact needs."
  },
  {
    "path": "doc/docs/en/opensource-memorial-wall.md",
    "content": "# Open Source Memorial Wall\n\nWelcome to the Nexent Open Source Memorial Wall! 🎉\n\nThis is a special place where our community members can leave their mark, share their stories, experiences, and celebrate their contributions to the open source world.\n\nContributing to the memorial wall is simple! For detailed instructions, check out our [Contributing Guide](./contributing#🌟-quick-memorial-wall-contribution).\n\n## 🌟 Community Messages\n\n*This is where other friends' stories and messages live. Feel free to add your thoughts below!*\n\n<!-- \n👇 Add your message below this line using the callout formats.\nEach message should include your name/handle and date.\nKeep messages respectful and in line with our Code of Conduct.\n-->\n\n::: tip product_guy - 2025-02-07\nno more PRDs!! just describe in plain english and devs get it instantly\n:::\n\n::: info techbro_kevin - 2025-06-15\nfirst time doing open source, nexent is pretty cool! natural language to create agents, way easier than i thought\n:::\n\n::: tip startup_dev - 2025-06-18\nsmall company here, wanted to build chatbot but too hard before. nexent's file support is amazing, even our PM can tweak agents now lol\n:::\n\n::: info anon_researcher - 2025-06-20\nworking on multi-agent stuff, the knowledge tracing feature caught my eye. built a paper review system, pretty neat\n:::\n\n::: danger frontend_alex - 2025-06-22\nfirst contribution was fixing a typo lmao... but community is super friendly! now using nexent for personal knowledge management, feels like having a second brain\n:::\n\n::: warning Dr. Chen - AI Algorithm Engineer - 2025-06-25\nMoving from LangChain to the MCP ecosystem was definitely the right choice. Nexent's MCP tool integration makes our team's workflow much more standardized, especially when handling enterprise applications. The \"USB-C of AI\" analogy is so apt! Now our agents can seamlessly connect to various external services - no more headaches over different API formats.\n:::\n\n::: warning mldev2025 - 2025-06-25\nmoved from langchain to MCP, good choice. the \"USB-C of AI\" analogy is spot on\n:::\n\n::: info college_student - 2025-07-28  \nzero-code actually works! just described what i wanted and boom, got an agent. handles pdfs and everything\n:::\n\n::: info Tom Park - University of Toronto CS Student - 2025-08-03\nInternational student here! Started contributing to Nexent as part of my open source class assignment, but ended up loving the project. The documentation is so well-written that even non-native English speakers like me can easily understand and contribute. I helped translate some docs and built a study group coordination agent for our international student community. The multimodal support works great for students who prefer different communication styles!\n:::\n\n::: info sleepy_coder - 2025-08-03\ninternational student here, docs are really well written. multimodal support is 🔥\n:::\n\n::: info lurker123 - 2025-08-05\njust dropping by to say nice work 👍 starred the repo\n:::\n\n::: info IPM - 2025-10-15\nReally impressed by Nexent — smooth interface and powerful agent framework. Great work!\n:::\n\n::: info gsong - 2025-11-26\nNexent represents the future of intelligent agent creation — simple, elegant, and incredibly powerful. As a true zero-code platform, it eliminates the need for orchestration or complex drag-and-drop workflows, allowing anyone to build agents using pure natural language. Built on the robust MCP ecosystem with rich tool integrations, Nexent goes far beyond basic automation by offering a suite of built-in agents tailored for real-world scenarios — from work and travel to everyday life. Its capabilities for agent execution control, multi-agent collaboration, data processing and knowledge tracing, multimodal dialogue, and batch scaling set a new benchmark in intelligent service platforms. Nexent doesn’t just accelerate development — it redefines what’s possible.\n:::\n\n::: info uu - 2025-11-27\nHuawei ICT Agent, thanks to the nexent platform for its support!\n:::\n"
  },
  {
    "path": "doc/docs/en/quick-start/faq.md",
    "content": "# Nexent FAQ\n\nThis FAQ addresses common questions and issues you might encounter while installing and using Nexent. For the basic installation steps, please refer to the [Installation & Deployment](./installation). For basic using instructions, please refer to the [User Guide](../user-guide/home-page).\n\n## 🚫 Common Errors & Operations\n\n### 🌐 Network Connection Issues\n\n- **Q: How can a Docker container access models deployed on the host machine (e.g., Ollama)?**\n  - A: Since `localhost` inside the container refers to the container itself, use one of these methods to connect to host services:\n\n    **Option 1: Use Docker's special DNS name `host.docker.internal`**\n\n    Supported environments: Mac/Windows and newer Docker Desktop versions (Linux version also supported)\n\n    ```bash\n    http://host.docker.internal:11434/v1\n    ```\n\n    **Option 2: Use host machine's actual IP (ensure firewall allows access)**\n\n    ```bash\n    http://[HOST_IP]:11434/v1\n    ```\n\n    **Option 3: Modify Docker Compose configuration**\n\n    Add to your docker-compose.yaml file:\n\n    ```yaml\n    extra_hosts:\n      - \"host.docker.internal:host-gateway\"\n    ```\n\n### 🔌 Port Conflicts\n\n- **Q: Port 3000 is already in use. How can I change it?**\n  - A: You can modify the port in the Docker Compose configuration file.\n\n### 📦 Container Issues\n\n- **Q: How do I check container logs?**\n  - A: Use `docker logs <container_name>` to view logs for specific containers.\n\n## 🔍 Troubleshooting\n\n### 🔢 Model Connection Issues\n\n- **Q: Why can't my model connect?**\n  - A: Check the following:\n    1. **Correct API endpoint**: Ensure you're using the right base URL\n    2. **Valid API key**: Verify your API key has proper permissions\n    3. **Model name**: Confirm the model identifier is correct\n    4. **Network access**: Ensure your deployment can reach the provider's servers\n\n    For model setup instruction, see [Model Management](../user-guide/model-management) in User Guide.\n\n- **Q: Multi-turn chats fail when using the official DeepSeek API. How can I resolve this?**\n  - A: The official DeepSeek API only accepts text payloads, but Nexent sends multimodal payloads, so multi-turn calls are rejected. Use a provider such as SiliconFlow that exposes DeepSeek models with multimodal compatibility. Our requests look like:\n\n  ```python\n  { \"role\":\"user\", \"content\":[ { \"type\":\"text\", \"text\":\"prompt\" } ] }\n  ```\n\n  whereas DeepSeek expects:\n\n  ```python\n  { \"role\":\"user\", \"content\":\"prompt\" }\n  ```\n\n## 🐛 Known Issues & Feedback\n\nIf you encounter any issues or want to check the latest status of known issues, please visit:\n\n- **Search similar issues**: [GitHub Issues](https://github.com/ModelEngine-Group/nexent/issues) - Search here to see if a similar issue has already been reported\n- **Discuss issues**: [GitHub Discussions](https://github.com/ModelEngine-Group/nexent/discussions) - Discuss problems and solutions with the community here\n\n## 💡 Need Help\n\nIf your question isn't answered here:\n\n- Join our [Discord community](https://discord.gg/tb5H3S3wyv) for real-time support\n- Check our [GitHub Issues](https://github.com/ModelEngine-Group/nexent/issues) for similar problems\n- Open a thread in [GitHub Discussions](https://github.com/ModelEngine-Group/nexent/discussions)\n"
  },
  {
    "path": "doc/docs/en/quick-start/installation.md",
    "content": "# Installation & Deployment\n\n## 🎯 Prerequisites\n\n| Resource | Minimum |\n|----------|---------|\n| **CPU**  | 2 cores |\n| **RAM**  | 6 GiB   |\n| **Architecture** | x86_64 / ARM64 |\n| **Software** | Docker & Docker Compose installed |\n\n## 🚀 Quick Start\n\n### 1. Download and Setup\n\n```bash\ngit clone https://github.com/ModelEngine-Group/nexent.git\ncd nexent/docker\ncp .env.example .env # Configure environment variables\n```\n\n> **💡 Tip**: If there are no special requirements, you can directly use `.env.example` for deployment without making any changes. If you need to configure voice models (STT/TTS), you will need to set the relevant parameters in `.env`. We will work on making this configuration available through the frontend soon—stay tuned.\n\n### 2. Deployment Options\n\nRun the following command to start deployment:\n\n```bash\nbash deploy.sh\n```\n\nAfter executing this command, the system will provide two different versions for you to choose from:\n\n**Version Selection:**\n- **Speed version (Lightweight & Fast Deployment, Default)**: Quick startup of core features, suitable for individual users and small teams\n- **Full version (Complete Feature Edition)**: Provides enterprise-level tenant management and resource isolation features, but takes longer to install, suitable for enterprise users\n\n**Deployment Modes:**\n- **Development mode (default)**: Exposes all service ports for debugging\n- **Infrastructure mode**: Only starts infrastructure services\n- **Production mode**: Only exposes port 3000 for security\n\n**Optional Components:**\n- **Terminal Tool**: Enables openssh-server for AI agent shell command execution\n- **Regional optimization**: Mainland China users can use optimized image sources\n\n### ⚠️ Important Notes\n1️⃣ **When deploying v1.8.0 or later for the first time**, please pay special attention to the `suadmin` super administrator account information output in the Docker logs. This account has the highest system privileges, and the password is only displayed upon first generation. It cannot be viewed again later, so please be sure to save it securely.\n\n2️⃣ Forgot to note the `suadmin` account password? Follow these steps:\n```bash\n# Step1: Delete su account record in supabase container\ndocker exec -it supabase-db-mini bash\npsql -U postgres\nselect id, email from auth.users;\n# Get the user_id of suadmin@nexent.com account\ndelete from auth.users where id = 'your_user_id';\ndelete from auth.identities where user_id = 'your_user_id';\n\n# Step2: Delete su account record in nexent database\ndocker exec -it nexent-postgresql bash\npsql -U root -d nexent\ndelete from nexent.user_tenant_t where user_id = 'your_user_id';\n\n# Step3: Redeploy and record the su account password\n```\n\n### 3. Access Your Installation\n\nWhen deployment completes successfully:\n1. Open **http://localhost:3000** in your browser\n2. Log in with the super administrator account\n3. Access tenant resources → Create tenant and tenant administrator\n4. Log in with the tenant administrator account\n5. Refer to the [User Guide](../user-guide/home-page) to develop agents\n\n\n## 🏗️ Service Architecture\n\nNexent uses a microservices architecture with the following core services:\n\n**Core Services:**\n- `nexent`: Backend service (port 5010)\n- `nexent-web`: Frontend interface (port 3000)\n- `nexent-data-process`: Data processing service (port 5012)\n\n**Infrastructure Services:**\n- `nexent-postgresql`: Database (port 5434)\n- `nexent-elasticsearch`: Search engine (port 9210)\n- `nexent-minio`: Object storage (port 9010, console 9011)\n- `redis`: Cache service (port 6379)\n\n**Optional Services:**\n- `nexent-openssh-server`: SSH server for Terminal tool (port 2222)\n\n## 🔌 Port Mapping\n\n| Service | Internal Port | External Port | Description |\n|---------|---------------|---------------|-------------|\n| Web Interface | 3000 | 3000 | Main application access |\n| Backend API | 5010 | 5010 | Backend service |\n| Data Processing | 5012 | 5012 | Data processing API |\n| PostgreSQL | 5432 | 5434 | Database connection |\n| Elasticsearch | 9200 | 9210 | Search engine API |\n| MinIO API | 9000 | 9010 | Object storage API |\n| MinIO Console | 9001 | 9011 | Storage management UI |\n| Redis | 6379 | 6379 | Cache service |\n| SSH Server | 22 | 2222 | Terminal tool access |\n\nFor complete port mapping details, see our [Dev Container Guide](../deployment/devcontainer.md#port-mapping).\n\n## 💡 Need Help\n\n- Browse the [FAQ](./faq) for common install issues\n- Drop questions in our [Discord community](https://discord.gg/tb5H3S3wyv)\n- File bugs or feature ideas in [GitHub Issues](https://github.com/ModelEngine-Group/nexent/issues)\n\n## 🔧 Build from Source\n\nWant to build from source or add new features? Check the [Docker Build Guide](../deployment/docker-build) for step-by-step instructions.\n\nFor detailed setup instructions and customization options, see our [Developer Guide](../developer-guide/overview)."
  },
  {
    "path": "doc/docs/en/quick-start/upgrade-guide.md",
    "content": "# Nexent Upgrade Guide\n\n## 🚀 Upgrade Overview\n\nFollow these steps to upgrade Nexent safely:\n\n1. Pull the latest code\n2. Execute the upgrade script\n3. Open the site to confirm service availability\n\n---\n\n## 🔄 Step 1: Update Code\n\nBefore updating, record the current deployment version and data directory information.\n\n- Current Deployment Version Location: APP_VERSION in backend/consts/const.py\n- Data Directory Location: ROOT_DIR in docker/.env\n\n**Code downloaded via git**\n\nUpdate the code using git commands:\n\n```bash\ngit pull\n```\n\n**Code downloaded via ZIP package or other means**\n\n1. Re-download the latest code from GitHub and extract it.\n2. If it exists, copy the deploy.options file from the docker directory of your previous deployment script directory to the docker directory of the new code directory. (If the file doesn't exist, you can ignore this step).\n\n## 🔄 Step 2: Execute the Upgrade\n\nNavigate to the docker directory of the updated code and run the upgrade script:\n\n```bash\nbash upgrade.sh\n```\n\nIf deploy.options is missing, the script will prompt you to manually enter configuration details from the previous deployment, such as the current version and data directory. Enter the information you recorded earlier.\n\n>💡 Tip\n> The default scenario is quick deployment, which uses .env.example.\n> If you need to configure voice models (STT/TTS), please add the relevant variables to .env.example in advance. We will provide a front-end configuration interface as soon as possible.\n\n\n## 🌐 Step 3: Verify the deployment\n\nAfter deployment:\n\n1. Open `http://localhost:3000` in your browser.\n2. Review the [User Guide](https://doc.nexent.tech/en/user-guide/home-page) to validate agent functionality.\n\n\n## Optional Operations\n\n### 🧹 Clean Up Old Version Images\n\nIf images were not updated correctly, you can clean up old containers and images before upgrading:\n\n```bash\n# Stop and remove existing containers\ndocker compose down\n\n# Inspect Nexent images\ndocker images --filter \"reference=nexent/*\"\n\n# Remove Nexent images\n# Windows PowerShell:\ndocker images -q --filter \"reference=nexent/*\" | ForEach-Object { docker rmi -f $_ }\n# Linux/WSL:\ndocker images -q --filter \"reference=nexent/*\" | xargs -r docker rmi -f\n\n# (Optional) prune unused images and caches\ndocker system prune -af\n```\n\n> ⚠️ Notes\n> - Back up critical data before deleting images.\n> - To preserve database data, do not delete the mounted database volume (`/nexent/docker/volumes` or your custom path).\n\n---\n\n## 🗄️ Manual Database Update\n\nIf some SQL files fail to execute during the upgrade, you can perform the update manually.\n\n### ✅ Method A: Use a SQL editor (recommended)\n\n1. Open your SQL client and create a new PostgreSQL connection.\n2. Retrieve connection settings from `/nexent/docker/.env`:\n   - Host\n   - Port\n   - Database\n   - User\n   - Password\n3. Test the connection. When successful, you should see tables under the `nexent` schema.\n4. Open a new query window.\n5. Navigate to the /nexent/docker/sql directory and open the failed SQL file(s) to view the script.\n6. Execute the failed SQL file(s) and any subsequent version SQL files in order.\n\n> ⚠️ Important\n> - Always back up the database first, especially in production.\n> - Run scripts sequentially to avoid dependency issues.\n> - `.env` keys may be named `POSTGRES_HOST`, `POSTGRES_PORT`, and so on—map them accordingly in your SQL client.\n\n### 🧰 Method B: Use the command line (no SQL client required)\n\n1. Switch to the Docker directory:\n\n   ```bash\n   cd nexent/docker\n   ```\n\n2. Read database connection details from `.env`, for example:\n\n   ```bash\n   POSTGRES_HOST=localhost\n   POSTGRES_PORT=5432\n   POSTGRES_DB=nexent\n   POSTGRES_USER=root\n   POSTGRES_PASSWORD=your_password\n   ```\n\n3. Execute SQL files sequentially (host machine example):\n\n   ```bash\n   # execute the following commands (please replace the placeholders with your actual values)\n   docker exec -i nexent-postgresql psql -U [YOUR_POSTGRES_USER] -d [YOUR_POSTGRES_DB] < ./sql/v1.1.1_1030-update.sql\n   docker exec -i nexent-postgresql psql -U [YOUR_POSTGRES_USER] -d [YOUR_POSTGRES_DB] < ./sql/v1.1.2_1105-update.sql\n   ```\n\n   Execute the corresponding scripts for your deployment versions in version order.\n\n> 💡 Tips\n> - Load environment variables first if they are defined in `.env`:\n>\n>   **Windows PowerShell:**\n>   ```powershell\n>   Get-Content .env | Where-Object { $_ -notmatch '^#' -and $_ -match '=' } | ForEach-Object { $key, $value = $_ -split '=', 2; [Environment]::SetEnvironmentVariable($key.Trim(), $value.Trim(), 'Process') }\n>   ```\n>\n>   **Linux/WSL:**\n>   ```bash\n>   export $(grep -v '^#' .env | xargs)\n>   # Or use set -a to automatically export all variables\n>   set -a; source .env; set +a\n>   ```\n>\n> - Create a backup before running migrations:\n>\n>   ```bash\n>   docker exec -i nexent-postgres pg_dump -U [YOUR_POSTGRES_USER] [YOUR_POSTGRES_DB] > backup_$(date +%F).sql\n>   ```\n"
  },
  {
    "path": "doc/docs/en/sdk/basic-usage.md",
    "content": "# 💡 Basic Usage\n\nThis guide provides a comprehensive introduction to using the Nexent SDK for building intelligent agents.\n\n> Installation options for both full-stack and SDK-only workflows are documented in [Environment Preparation](../developer-guide/environment-setup).\n\n## ⚡ Quick Start\n\n### Basic Import\n\n```python\nfrom nexent.core.utils.observer import MessageObserver, ProcessType\nfrom nexent.core.agents.core_agent import CoreAgent\nfrom nexent.core.agents.nexent_agent import NexentAgent\nfrom nexent.core.models.openai_llm import OpenAIModel\nfrom nexent.core.tools import ExaSearchTool, KnowledgeBaseSearchTool\n```\n\n## 🤖 Creating Your First Agent\n\n### 🔧 Setting Up the Environment\n\n```python\n# Create message observer for streaming output\nobserver = MessageObserver()\n\n# Create model (model and Agent must use the same observer)\nmodel = OpenAIModel(\n    observer=observer,\n    model_id=\"your-model-id\",\n    api_key=\"your-api-key\",\n    api_base=\"your-api-base\"\n)\n```\n\n### 🛠️ Adding Tools\n\n```python\n# Create search tool\nsearch_tool = ExaSearchTool(\n    exa_api_key=\"your-exa-key\", \n    observer=observer, \n    max_results=5\n)\n\n# Create knowledge base tool\nkb_tool = KnowledgeBaseSearchTool(\n    top_k=5, \n    observer=observer\n)\n```\n\n### 🤖 Building the Agent\n\n```python\n# Create Agent with tools and model\nagent = CoreAgent(\n    observer=observer,\n    tools=[search_tool, kb_tool],\n    model=model,\n    name=\"my_agent\",\n    max_steps=5\n)\n```\n\n### 🚀 Running the Agent\n\n```python\n# Run Agent with your question\nagent.run(\"Your question here\")\n```\n\n## 📡 Using agent_run (recommended for streaming)\n\nWhen you need server/client event streams, use `agent_run`. It runs the agent in a background thread and yields JSON strings from `MessageObserver`, so UIs can render incremental updates.\n\n```python\nimport json\nimport asyncio\nfrom threading import Event\n\nfrom nexent.core.agents.run_agent import agent_run\nfrom nexent.core.agents.agent_model import AgentRunInfo, AgentConfig, ModelConfig\nfrom nexent.core.utils.observer import MessageObserver\n\nasync def main():\n    observer = MessageObserver(lang=\"en\")\n    stop_event = Event()\n\n    model_config = ModelConfig(\n        cite_name=\"gpt-4\",\n        api_key=\"<YOUR_API_KEY>\",\n        model_name=\"Qwen/Qwen2.5-32B-Instruct\",\n        url=\"https://api.siliconflow.cn/v1\",\n    )\n\n    agent_config = AgentConfig(\n        name=\"example_agent\",\n        description=\"An example agent\",\n        tools=[],\n        max_steps=5,\n        model_name=\"gpt-4\",\n    )\n\n    agent_run_info = AgentRunInfo(\n        query=\"How many letter r are in strrawberry?\",\n        model_config_list=[model_config],\n        observer=observer,\n        agent_config=agent_config,\n        stop_event=stop_event\n    )\n\n    async for message in agent_run(agent_run_info):\n        message_data = json.loads(message)\n        print(message_data)  # each message is a JSON string\n\nasyncio.run(main())\n```\n\n### 🛰️ Stream message format\n\nEach yielded JSON string typically contains:\n\n- `type`: message type (maps to `ProcessType`, e.g., `STEP_COUNT`, `MODEL_OUTPUT_THINKING`, `PARSE`, `EXECUTION_LOGS`, `FINAL_ANSWER`, `ERROR`)\n- `content`: text payload\n- `agent_name` (optional): which agent emitted the message\n\n### 🧠 Chat history (optional)\n\nPass history to keep context:\n\n```python\nfrom nexent.core.agents.agent_model import AgentHistory\n\nhistory = [\n    AgentHistory(role=\"user\", content=\"Hi\"),\n    AgentHistory(role=\"assistant\", content=\"Hello!\"),\n]\n\nagent_run_info = AgentRunInfo(\n    # ...\n    history=history,\n)\n```\n\n### 🌐 MCP tool integration (optional)\n\nProvide MCP endpoints to auto-load remote tools:\n\n```python\nagent_run_info = AgentRunInfo(\n    # ...\n    mcp_host=[\"http://localhost:3000\"],  # or dict with url/transport\n)\n```\n\n### ⏹️ Interrupt gracefully\n\n```python\nstop_event.set()  # agent stops after the current step finishes\n```\n\n## 🔧 Configuration Options\n\n### ⚙️ Agent Configuration\n\n```python\nagent = CoreAgent(\n    observer=observer,\n    tools=[search_tool, kb_tool],\n    model=model,\n    name=\"my_agent\",\n    max_steps=10,  # Maximum execution steps\n)\n```\n\n### 🔧 Tool Configuration\n\n```python\n# Configure search tool with specific parameters\nsearch_tool = ExaSearchTool(\n    exa_api_key=\"your-exa-key\",\n    observer=observer,\n    max_results=10,  # Number of search results\n)\n```\n\n## 📚 More Resources\n\n- **[Streaming with agent_run](#using-agent_run-recommended-for-streaming)**\n- **[Tool Development Guide](./core/tools)**\n- **[Model Architecture Guide](./core/models)**\n- **[Agents](./core/agents)** "
  },
  {
    "path": "doc/docs/en/sdk/core/agents.md",
    "content": "# AI Agent Development Overview\n\nNexent provides a comprehensive framework for developing and deploying AI agents with advanced capabilities including tool integration, reasoning, and multi-modal interactions.\n\n## 🏗️ Agent Architecture\n\n### Core Components\n\n#### NexentAgent - Enterprise Agent Framework\nThe core of Nexent's agent system, providing complete intelligent agent solutions:\n\n- **Multi-model Support**: Supports OpenAI, vision language models, long-context models, etc.\n- **MCP Integration**: Seamless integration with Model Context Protocol tool ecosystem\n- **Dynamic Tool Loading**: Supports dynamic creation and management of local and MCP tools\n- **Distributed Execution**: High-performance execution engine based on thread pools and async architecture\n- **State Management**: Complete task state tracking and error recovery mechanisms\n\n#### CoreAgent - Code Execution Engine\nInherits and enhances SmolAgents' `CodeAgent`, providing the following key capabilities:\n\n- **Python Code Execution**: Supports parsing and executing Python code for dynamic task processing\n- **Multi-language Support**: Built-in Chinese and English prompt templates, switchable as needed\n- **Streaming Output**: Real-time streaming display of model output through MessageObserver\n- **Step Tracking**: Records and displays each step of Agent execution for debugging and monitoring\n- **Interrupt Control**: Supports task interruption and graceful stop mechanisms\n- **Error Handling**: Complete error handling mechanisms to improve stability\n- **State Management**: Maintains and passes execution state, supports continuous processing of complex tasks\n\nCoreAgent implements the ReAct framework's think-act-observe loop:\n1. **Think**: Use large language models to generate solution code\n2. **Act**: Execute the generated Python code\n3. **Observe**: Collect execution results and logs\n4. **Repeat**: Continue thinking and executing based on observation results until task completion\n\n### 📡 MessageObserver - Streaming Message Processing\nCore implementation of the message observer pattern for handling Agent's streaming output:\n\n- **Streaming Output Capture**: Real-time capture of model-generated tokens\n- **Process Type Distinction**: Format output based on different processing stages (model output, code parsing, execution logs, etc.)\n- **Multi-language Support**: Supports Chinese and English output formats\n- **Unified Interface**: Provides unified processing for messages from different sources\n\nProcessType enumeration defines the following processing stages:\n- `STEP_COUNT`: Current execution step\n- `MODEL_OUTPUT_THINKING`: Model thinking process output\n- `MODEL_OUTPUT_CODE`: Model code generation output\n- `PARSE`: Code parsing results\n- `EXECUTION_LOGS`: Code execution results\n- `AGENT_NEW_RUN`: Agent basic information\n- `FINAL_ANSWER`: Final summary results\n- `SEARCH_CONTENT`: Search result content\n- `PICTURE_WEB`: Web image processing results\n\n## 🤖 Agent Development\n\nCore usage examples now live in [Basic Usage](../basic-usage#using-agent_run-recommended-for-streaming), including both `CoreAgent.run` and the streaming `agent_run` helper. This page focuses on module concepts (architecture, MessageObserver, patterns) rather than code walkthroughs.\n\n## 🛠️ Tool Integration\n\n### Custom Tool Development\n\nNexent implements tool systems based on [Model Context Protocol (MCP)](https://github.com/modelcontextprotocol/python-sdk).\n\n#### Developing New Tools:\n1. Implement logic in `backend/mcp_service/local_mcp_service.py`\n2. Register with `@mcp.tool()` decorator\n3. Restart MCP service\n\n#### Example:\n```python\n@mcp.tool(name=\"my_tool\", description=\"My custom tool\")\ndef my_tool(param1: str, param2: int) -> str:\n    # Implement tool logic\n    return f\"Processed result: {param1} {param2}\"\n```\n\n## 🎯 Agent Execution Patterns\n\n### ReAct Pattern\nStandard execution pattern for problem-solving agents:\n1. **Reasoning**: Analyze problems and develop methods\n2. **Action**: Execute tools or generate code\n3. **Observation**: Check results and outputs\n4. **Iteration**: Continue until task completion\n\n### Multi-Agent Collaboration\n- **Hierarchical Agents**: Management agents coordinate working agents\n- **Specialized Agents**: Domain-specific agents for specific tasks\n- **Communication Protocols**: Standardized message passing between agents\n\n### Error Handling and Recovery\n- **Graceful Degradation**: Fallback strategies when tools fail\n- **State Persistence**: Save agent state for recovery\n- **Retry Mechanisms**: Automatic retry with backoff strategies\n\n## ⚡ Performance Optimization\n\n### Execution Efficiency\n- **Parallel Tool Execution**: Concurrent execution of independent tools\n- **Caching Strategies**: Cache model responses and tool results\n- **Resource Management**: Efficient memory and computation usage\n\n### Monitoring and Debugging\n- **Execution Tracking**: Detailed logs of agent decisions\n- **Performance Metrics**: Time and resource usage tracking\n- **Debug Mode**: Detailed output during development\n\n## 📋 Best Practices\n\n### Agent Design\n1. **Clear Objectives**: Define specific, measurable agent goals\n2. **Appropriate Tools**: Choose tools that match agent capabilities\n3. **Strong Prompts**: Create comprehensive system prompts\n4. **Error Handling**: Implement comprehensive error recovery\n\n### Development Workflow\n1. **Iterative Development**: Incremental building and testing\n2. **Prompt Engineering**: Optimize prompts based on test results\n3. **Tool Testing**: Validate individual tools before integration\n4. **Performance Testing**: Monitor and optimize execution speed\n\n### Production Deployment\n1. **Resource Allocation**: Ensure adequate computational resources\n2. **Monitoring Setup**: Implement comprehensive logging and alerting\n3. **Scaling Strategy**: Plan for increased load and usage\n4. **Security Considerations**: Validate inputs and protect API access\n\nFor detailed implementation examples and advanced patterns, please refer to the [Developer Guide](../../developer-guide/overview)."
  },
  {
    "path": "doc/docs/en/sdk/core/models.md",
    "content": "# Nexent Model Architecture\n\nNexent provides a comprehensive model architecture supporting multiple AI model types through OpenAI-compatible interfaces. The SDK supports large language models, multimodal models, embedding models, and speech processing capabilities.\n\n## 📋 Overview\n\nThe models module provides standardized interfaces for various AI model providers and types:\n\n## 🎯 Supported Model Categories\n\n### 🤖 Large Language Models (LLM)\n- **OpenAI-compatible models**: Any provider following OpenAI API specification\n- **Long context models**: Support for extended context windows\n- **Multimodal language models**: Text + image processing capabilities\n- **Local deployment**: Ollama, vLLM, and other self-hosted solutions\n\n### 🎭 Vision Language Models (VLM)\n- **Multimodal understanding**: Process text, images, and documents simultaneously\n- **OpenAI-compatible VLMs**: GPT-4V, Claude-3, and compatible models\n- **Document analysis**: OCR, table extraction, and visual reasoning\n\n### 🔤 Embedding Models\n- **Universal compatibility**: All OpenAI-compatible embedding services\n- **Multilingual support**: International language processing\n- **Specialized embeddings**: Document, code, and domain-specific embeddings\n- **Vector database integration**: Seamless integration with vector stores\n\n### 🎤 Speech Processing Models\n- **Text-to-Speech (TTS)**: Multiple provider support\n- **Speech-to-Text (STT)**: Real-time and batch processing\n- **Voice cloning**: Advanced voice synthesis capabilities\n- **Multilingual speech**: Support for multiple languages and accents\n\n## 🏗️ Model Implementation Classes\n\n## 💡 Usage\n\n```python\nfrom nexent.core.models import OpenAIModel\n\n# Initialize OpenAI model\nmodel = OpenAIModel(\n    api_key=\"your-api-key\",\n    model_name=\"gpt-4\"\n)\n\n# Use model for completion\nresponse = model.complete(\"Hello, world!\")\n```\n\n## ⚙️ Configuration\n\nModels can be configured through:\n- Environment variables\n- Configuration files\n- Direct parameter passing\n\nFor detailed usage examples and API reference, see the SDK documentation."
  },
  {
    "path": "doc/docs/en/sdk/core/multimodal.md",
    "content": "# Multimodal Module\n\nThis module provides a native multimodal data processing bus designed for agents. With the `@load_object` and `@save_object` decorators, it supports real-time transmission and processing of text, images, audio, video, and other data formats, enabling seamless cross-modal data flow.\n\n## 📋 Table of Contents\n\n- [LoadSaveObjectManager Initialization](#loadsaveobjectmanager-initialization)\n- [@load_object Decorator](#load_object-decorator)\n- [@save_object Decorator](#save_object-decorator)\n- [Combined Usage Example](#combined-usage-example)\n\n## LoadSaveObjectManager Initialization\n\nBefore using the decorators, you need to initialize a `LoadSaveObjectManager` instance and pass in a storage client (for example, a MinIO client):\n\n```python\nfrom nexent.multi_modal.load_save_object import LoadSaveObjectManager\nfrom database.client import minio_client\n\n\n# Create manager instance\nMultimodal = LoadSaveObjectManager(storage_client=minio_client)\n```\n\nYou can also implement your own storage client based on the `StorageClient` base class in `sdk.nexent.storage.storage_client_base`.  \nThe storage client must implement:\n\n- `get_file_stream(object_name, bucket)`: get a file stream from storage (for download)\n- `upload_fileobj(file_obj, object_name, bucket)`: upload a file-like object to storage (for save)\n\n## @load_object Decorator\n\nThe `@load_object` decorator downloads files from URLs (S3 / HTTP / HTTPS) **before** the wrapped function is executed, and passes the file content (or transformed data) into the wrapped function.\n\n### Features\n\n- **Automatic download**: Automatically detect and download files pointed to by S3, HTTP, or HTTPS URLs.\n- **Data transformation**: Use custom transformer functions to convert downloaded bytes into types required by the wrapped function (for example, `PIL.Image`, text, etc.).\n- **Batch processing**: Support a single URL or a list of URLs.\n\n### Parameters\n\n- `input_names` (`List[str]`): names of function parameters to transform.\n- `input_data_transformer` (`Optional[List[Callable[[bytes], Any]]]`): optional list of transformers; each transformer converts raw `bytes` into the target type for the corresponding parameter.\n\n### Supported URL Formats\n\nThe decorator supports:\n\n- **S3 URLs**\n  - `s3://bucket-name/object/file.jpg`\n  - `/bucket-name/object/file.jpg` (short form)\n- **HTTP / HTTPS URLs**\n  - `http://example.com/file.jpg`\n  - `https://example.com/file.jpg`\n\nURL type detection:\n\n- Starts with `http://` → HTTP URL  \n- Starts with `https://` → HTTPS URL  \n- Starts with `s3://` or looks like `/bucket/object` → S3 URL\n\n### Examples\n\n#### Basic: download as bytes\n\n```python\n@Multimodal.load_object(input_names=[\"image_url\"])\ndef process_image(image_url: bytes):\n    \"\"\"image_url will be replaced with downloaded bytes.\"\"\"\n    print(f\"File size: {len(image_url)} bytes\")\n    return image_url\n\n\n# Call process_image\nresult = process_image(image_url=\"http://example.com/pic.PNG\")\n```\n\n#### Advanced: convert bytes to PIL Image\n\nIf the function parameter is not `bytes` (for example, it expects `PIL.Image.Image`), define a converter (such as `bytes_to_pil`) and pass it to the decorator.\n\n```python\nimport io\nfrom PIL import Image\n\n\ndef bytes_to_pil(binary_data: bytes) -> Image.Image:\n    image_stream = io.BytesIO(binary_data)\n    img = Image.open(image_stream)\n    return img\n\n\n@Multimodal.load_object(\n    input_names=[\"image_url\"],\n    input_data_transformer=[bytes_to_pil],\n)\ndef process_image(image_url: Image.Image) -> Image.Image:\n    \"\"\"image_url will be converted into a PIL Image object.\"\"\"\n    resized = image_url.resize((800, 600))\n    return resized\n\n\nresult = process_image(image_url=\"http://example.com/pic.PNG\")\n```\n\n#### Multiple inputs\n\n```python\nfrom PIL import Image\n\n\n@Multimodal.load_object(\n    input_names=[\"image_url1\", \"image_url2\"],\n    input_data_transformer=[bytes_to_pil, bytes_to_pil],\n)\ndef process_two_images(image_url1: Image.Image, image_url2: Image.Image) -> Image.Image:\n    \"\"\"Both image URLs will be downloaded and converted into PIL Images.\"\"\"\n    combined = Image.new(\"RGB\", (1600, 600))\n    combined.paste(image_url1, (0, 0))\n    combined.paste(image_url2, (800, 0))\n    return combined\n\n\nresult = process_two_images(\n    image_url1=\"http://example.com/pic1.PNG\",\n    image_url2=\"http://example.com/pic2.PNG\",\n)\n```\n\n#### List of URLs\n\n```python\nfrom typing import List\nfrom PIL import Image\n\n\n@Multimodal.load_object(\n    input_names=[\"image_urls\"],\n    input_data_transformer=[bytes_to_pil],\n)\ndef process_image_list(image_urls: List[Image.Image]) -> List[Image.Image]:\n    \"\"\"Support a list of URLs, each will be downloaded and converted.\"\"\"\n    results: List[Image.Image] = []\n    for img in image_urls:\n        results.append(img.resize((200, 200)))\n    return results\n\n\nresult = process_image_list(\n    image_urls=[\n        \"http://example.com/pic1.PNG\",\n        \"http://example.com/pic2.PNG\",\n    ]\n)\n```\n\n## @save_object Decorator\n\nThe `@save_object` decorator uploads return values to storage (MinIO) **after** the wrapped function finishes, and returns S3 URLs.\n\n### Features\n\n- **Automatic upload**: Automatically upload function return values to MinIO.\n- **Data transformation**: Use transformers to convert return values into `bytes` (for example, `PIL.Image` → `bytes`).\n- **Batch processing**: Support a single return value or multiple values (tuple).\n- **URL return**: Return S3 URLs of the form `s3://bucket/object_name`.\n\n### Parameters\n\n- `output_names` (`List[str]`): logical names for each return value.\n- `output_transformers` (`Optional[List[Callable[[Any], bytes]]]`): transformers that convert each return value into `bytes`.\n- `bucket` (`str`): target bucket name, default `\"nexent\"`.\n\n### Examples\n\n#### Basic: save raw bytes\n\n```python\n@Multimodal.save_object(\n    output_names=[\"content\"],\n)\ndef generate_file() -> bytes:\n    \"\"\"Returned bytes will be uploaded to MinIO automatically.\"\"\"\n    content = b\"Hello, World!\"\n    return content\n```\n\n#### Advanced: convert PIL Image to bytes before upload\n\nIf the function does not return `bytes` (for example, it returns `PIL.Image.Image`), define a converter such as `pil_to_bytes` and pass it to the decorator.\n\n```python\nimport io\nfrom typing import Optional\nfrom PIL import Image, ImageFilter\n\n\ndef pil_to_bytes(img: Image.Image, format: Optional[str] = None) -> bytes:\n    \"\"\"\n    Convert a PIL Image to binary data (bytes).\n    \"\"\"\n    if img is None:\n        raise ValueError(\"Input image cannot be None\")\n\n    buffer = io.BytesIO()\n\n    # Decide which format to use\n    if format is None:\n        # Use original format if available, otherwise default to PNG\n        format = img.format if img.format else \"PNG\"\n\n    # For JPEG, ensure RGB (no alpha channel)\n    if format.upper() == \"JPEG\" and img.mode in (\"RGBA\", \"LA\", \"P\"):\n        rgb_img = Image.new(\"RGB\", img.size, (255, 255, 255))\n        if img.mode == \"P\":\n            img = img.convert(\"RGBA\")\n        rgb_img.paste(\n            img,\n            mask=img.split()[-1] if img.mode in (\"RGBA\", \"LA\") else None,\n        )\n        rgb_img.save(buffer, format=format)\n    else:\n        img.save(buffer, format=format)\n\n    data = buffer.getvalue()\n    buffer.close()\n    return data\n\n\n@Multimodal.save_object(\n    output_names=[\"processed_image\"],\n    output_transformers=[pil_to_bytes],\n)\ndef process_image(image: Image.Image) -> Image.Image:\n    \"\"\"Returned PIL Image will be converted to bytes and uploaded.\"\"\"\n    blurred = image.filter(ImageFilter.GaussianBlur(radius=5))\n    return blurred\n```\n\n#### Multiple files\n\n```python\nfrom typing import Tuple\n\n\n@Multimodal.save_object(\n    output_names=[\"resized1\", \"resized2\"],\n    output_transformers=[pil_to_bytes, pil_to_bytes],\n)\ndef process_two_images(\n    img1: Image.Image,\n    img2: Image.Image,\n) -> Tuple[Image.Image, Image.Image]:\n    \"\"\"Both returned images will be uploaded and return corresponding S3 URLs.\"\"\"\n    resized1 = img1.resize((800, 600))\n    resized2 = img2.resize((800, 600))\n    return resized1, resized2\n```\n\n### Return Format\n\n- **Single return value**: a single S3 URL string, `s3://bucket/object_name`.\n- **Multiple return values (tuple)**: a tuple where each element is the corresponding S3 URL.\n\n### Notes\n\n- If you do **not** provide a transformer, the function return value must be `bytes`.\n- If you provide a transformer, the transformer **must** return `bytes`.\n- The number of return values must match the length of `output_names`.\n\n## Combined Usage Example\n\nIn practice, `@load_object` and `@save_object` are often used together to build a full **download → process → upload** pipeline:\n\n```python\nfrom typing import Union, List\nfrom PIL import Image, ImageFilter\n\nfrom database.client import minio_client\nfrom nexent.multi_modal.load_save_object import LoadSaveObjectManager\n\n\nMultimodal = LoadSaveObjectManager(storage_client=minio_client)\n\n\n@Multimodal.load_object(\n    input_names=[\"image_url\"],\n    input_data_transformer=[bytes_to_pil],\n)\n@Multimodal.save_object(\n    output_names=[\"blurred_image\"],\n    output_transformers=[pil_to_bytes],\n)\ndef blur_image_tool(\n    image_url: Union[str, List[str]],\n    blur_radius: int = 5,\n) -> Image.Image:\n    \"\"\"\n    Apply a Gaussian blur filter to an image.\n\n    Args:\n        image_url: S3 URL or HTTP/HTTPS URL of the image.\n        blur_radius: Blur radius (default 5, valid range 1–50).\n\n    Returns:\n        Processed PIL Image object (it will be uploaded and returned as an S3 URL).\n    \"\"\"\n    # At this point, image_url has already been converted to a PIL Image\n    if image_url is None:\n        raise ValueError(\"Failed to load image\")\n\n    # Clamp blur radius\n    blur_radius = max(1, min(50, blur_radius))\n\n    # Apply blur\n    blurred_image = image_url.filter(ImageFilter.GaussianBlur(radius=blur_radius))\n    return blurred_image\n\n\n# Example usage\nresult_url = blur_image_tool(\n    image_url=\"s3://nexent/images/input.png\",\n    blur_radius=10,\n)\n# result_url is something like \"s3://nexent/attachments/xxx.png\"\n```"
  },
  {
    "path": "doc/docs/en/sdk/core/tools.md",
    "content": "# Nexent Tool Development Guidelines\n\nThis document summarizes the complete guidelines and best practices for tool development in the Nexent SDK based on analysis of existing tools.\n\n## 📂 Tool Categories\n\nThe current SDK includes the following tool types:\n\n### Search Tools\n- **ExaSearchTool**: Web search tool based on EXA API\n- **TavilySearchTool**: Web search tool based on Tavily API  \n- **LinkupSearchTool**: Search tool based on Linkup API\n- **KnowledgeBaseSearchTool**: Local knowledge base search tool\n\n### File Management Tools\n- **CreateFileTool**: Create new files with content\n- **ReadFileTool**: Read file contents from the filesystem\n- **DeleteFileTool**: Delete files from the filesystem\n- **MoveItemTool**: Move or rename files and directories\n- **CreateDirectoryTool**: Create new directories\n- **DeleteDirectoryTool**: Delete directories and their contents\n- **ListDirectoryTool**: List directory contents with detailed information\n\n### System Tools\n- **TerminalTool**: Execute shell commands and system operations\n\n### Communication Tools\n- **GetEmailTool**: Email retrieval tool via IMAP\n- **SendEmailTool**: Email sending tool via SMTP\n\n### Multimodal Tools\n- **AnalyzeTextFileTool**: A document question-answering tool based on data processing and large language models\n- **AnalyzeImageTool**: An image question-answering tool based on visual language models\n\n## 🔧 Common Characteristics\n\n### 1. Basic Architecture\n- **Base Class Inheritance**: All tools must inherit from `smolagents.tools.Tool`\n- **Parameter Management**: Use `pydantic.Field` for parameter definition and validation\n- **Streaming Output**: Integrate `MessageObserver` for real-time message transmission\n- **Multi-language Support**: Built-in Chinese and English bilingual prompts\n\n### 2. Core Attributes\nEach tool class must include the following class attributes:\n\n```python\nclass ToolExample(Tool):\n    name = \"tool_name\"                    # Tool unique identifier\n    description = \"Tool functionality description\"  # Detailed feature description\n    inputs = {                           # Input parameter definition\n        \"param\": {\"type\": \"string\", \"description\": \"Parameter description\"}\n    }\n    output_type = \"string\"               # Output type\n    tool_sign = \"x\"                      # Tool identifier (optional)\n```\n\n### 3. Message Processing Mechanism\n- **ProcessType Enumeration**: Use different types to distinguish messages (TOOL, CARD, SEARCH_CONTENT, PICTURE_WEB, etc.)\n- **Observer Pattern**: Implement real-time message pushing through MessageObserver\n- **JSON Format**: All message content uses JSON format to ensure consistency\n\n### 4. Exception Handling Strategy\n- **Unified Exceptions**: Use Exception to throw error messages\n- **Error Logging**: Use logging module to record detailed error information\n- **Graceful Degradation**: Provide fallback solutions when possible\n\n## 📝 Naming Conventions\n\n### File Naming\n- **Format**: `{function_name}_tool.py`\n- **Style**: Lowercase letters, words connected by underscores\n- **Examples**: `exa_search_tool.py`, `knowledge_base_search_tool.py`\n\n### Class Naming\n- **Format**: `{FunctionName}Tool`\n- **Style**: PascalCase\n- **Examples**: `ExaSearchTool`, `KnowledgeBaseSearchTool`\n\n### Attribute and Method Naming\n- **Format**: Lowercase letters, words connected by underscores\n- **Private Methods**: Start with single underscore (e.g., `_filter_images`)\n- **Examples**: `max_results`, `running_prompt_en`, `_decode_subject`\n\n### Tool Identifier Conventions\n- **tool_sign**: Single letter identifier for distinguishing tool sources\n- **Assignment Rules**:\n  - `a`: Knowledge base search (KnowledgeBaseSearchTool)\n  - `b`: Web search (ExaSearchTool, TavilySearchTool)\n  - `l`: Linkup search (LinkupSearchTool)\n  - Other letters assigned by functional type\n\n## 🏗️ Code Structure Templates\n\n### Basic Template\n\n```python\nimport json\nimport logging\nfrom typing import Optional\nfrom smolagents.tools import Tool\nfrom pydantic import Field\n\nfrom ..utils.observer import MessageObserver, ProcessType\n\nlogger = logging.getLogger(\"your_tool_name\")\n\nclass YourTool(Tool):\n    name = \"your_tool\"\n    description = \"Detailed description of tool functionality, explaining applicable scenarios and usage methods\"\n    inputs = {\n        \"param1\": {\n            \"type\": \"string\", \n            \"description\": \"Detailed description of parameter 1\"\n        },\n        \"param2\": {\n            \"type\": \"integer\", \n            \"description\": \"Detailed description of parameter 2\", \n            \"default\": 10, \n            \"nullable\": True\n        }\n    }\n    output_type = \"string\"\n    tool_sign = \"y\"  # Choose appropriate identifier\n\n    def __init__(\n        self,\n        config_param: str = Field(description=\"Configuration parameter\"),\n        observer: MessageObserver = Field(description=\"Message observer\", default=None, exclude=True),\n        optional_param: int = Field(description=\"Optional parameter\", default=5)\n    ):\n        super().__init__()\n        self.config_param = config_param\n        self.observer = observer\n        self.optional_param = optional_param\n        \n        # Multi-language prompts\n        self.running_prompt_zh = \"正在执行...\"\n        self.running_prompt_en = \"Processing...\"\n        \n        # Record operation sequence (if needed)\n        self.record_ops = 0\n\n    def forward(self, param1: str, param2: int = 10) -> str:\n        \"\"\"Main execution method of the tool\n        \n        Args:\n            param1: Parameter 1 description\n            param2: Parameter 2 description\n            \n        Returns:\n            JSON format string result\n            \n        Raises:\n            Exception: Detailed error information\n        \"\"\"\n        try:\n            # Send tool running message\n            if self.observer:\n                running_prompt = (self.running_prompt_zh \n                                if self.observer.lang == \"zh\" \n                                else self.running_prompt_en)\n                self.observer.add_message(\"\", ProcessType.TOOL, running_prompt)\n                \n                # Send card information (optional)\n                card_content = [{\"icon\": \"your_icon\", \"text\": param1}]\n                self.observer.add_message(\"\", ProcessType.CARD, \n                                        json.dumps(card_content, ensure_ascii=False))\n\n            # Main business logic\n            result = self._execute_main_logic(param1, param2)\n            \n            # Process result and return\n            return self._format_result(result)\n            \n        except Exception as e:\n            logger.error(f\"Error in {self.name}: {str(e)}\")\n            raise Exception(f\"Error executing {self.name}: {str(e)}\")\n\n    def _execute_main_logic(self, param1: str, param2: int):\n        \"\"\"Private method for executing main business logic\"\"\"\n        # Implement specific business logic\n        pass\n\n    def _format_result(self, result) -> str:\n        \"\"\"Format return result\"\"\"\n        formatted_result = {\n            \"status\": \"success\",\n            \"data\": result,\n            \"tool\": self.name\n        }\n        return json.dumps(formatted_result, ensure_ascii=False)\n```\n\n### Search Tool Template\n\n```python\nimport json\nimport logging\nfrom typing import List\nfrom smolagents.tools import Tool\nfrom pydantic import Field\n\nfrom ..utils.observer import MessageObserver, ProcessType\nfrom ..utils.tools_common_message import SearchResultTextMessage\n\nlogger = logging.getLogger(\"search_tool_name\")\n\nclass SearchTool(Tool):\n    name = \"search_tool\"\n    description = \"Detailed description of search tool, including search scope and applicable scenarios\"\n    inputs = {\n        \"query\": {\"type\": \"string\", \"description\": \"Search query\"},\n        \"max_results\": {\"type\": \"integer\", \"description\": \"Maximum number of results\", \"default\": 5, \"nullable\": True}\n    }\n    output_type = \"string\"\n    tool_sign = \"s\"\n\n    def __init__(\n        self,\n        api_key: str = Field(description=\"API key\"),\n        observer: MessageObserver = Field(description=\"Message observer\", default=None, exclude=True),\n        max_results: int = Field(description=\"Maximum search results\", default=5)\n    ):\n        super().__init__()\n        self.api_key = api_key\n        self.observer = observer\n        self.max_results = max_results\n        self.record_ops = 0\n        \n        self.running_prompt_zh = \"搜索中...\"\n        self.running_prompt_en = \"Searching...\"\n\n    def forward(self, query: str, max_results: int = None) -> str:\n        if max_results is None:\n            max_results = self.max_results\n            \n        # Send search status message\n        if self.observer:\n            running_prompt = (self.running_prompt_zh \n                            if self.observer.lang == \"zh\" \n                            else self.running_prompt_en)\n            self.observer.add_message(\"\", ProcessType.TOOL, running_prompt)\n            card_content = [{\"icon\": \"search\", \"text\": query}]\n            self.observer.add_message(\"\", ProcessType.CARD, \n                                    json.dumps(card_content, ensure_ascii=False))\n\n        try:\n            # Execute search\n            search_results = self._perform_search(query, max_results)\n            \n            if not search_results:\n                raise Exception(\"No search results found! Please try shorter or broader queries.\")\n\n            # Format search results\n            formatted_results = self._format_search_results(search_results)\n            \n            # Record search content\n            if self.observer:\n                search_results_data = json.dumps(formatted_results[\"json\"], ensure_ascii=False)\n                self.observer.add_message(\"\", ProcessType.SEARCH_CONTENT, search_results_data)\n            \n            return json.dumps(formatted_results[\"return\"], ensure_ascii=False)\n            \n        except Exception as e:\n            logger.error(f\"Search error: {str(e)}\")\n            raise Exception(f\"Search failed: {str(e)}\")\n\n    def _perform_search(self, query: str, max_results: int):\n        \"\"\"Execute actual search operation\"\"\"\n        # Implement specific search logic\n        pass\n\n    def _format_search_results(self, results):\n        \"\"\"Format search results into unified format\"\"\"\n        search_results_json = []\n        search_results_return = []\n        \n        for index, result in enumerate(results):\n            search_result_message = SearchResultTextMessage(\n                title=result.get(\"title\", \"\"),\n                url=result.get(\"url\", \"\"),\n                text=result.get(\"content\", \"\"),\n                published_date=result.get(\"date\", \"\"),\n                source_type=\"url\",\n                filename=\"\",\n                score=result.get(\"score\", \"\"),\n                score_details=result.get(\"score_details\", {}),\n                cite_index=self.record_ops + index,\n                search_type=self.name,\n                tool_sign=self.tool_sign\n            )\n            search_results_json.append(search_result_message.to_dict())\n            search_results_return.append(search_result_message.to_model_dict())\n        \n        self.record_ops += len(search_results_return)\n        \n        return {\n            \"json\": search_results_json,\n            \"return\": search_results_return\n        }\n```\n\n## 🔄 Development Process Guidelines\n\n### 1. Pre-development Preparation\n- Determine tool functionality and applicable scenarios\n- Choose appropriate tool category and identifier\n- Check for duplication with existing tool functionality\n\n### 2. Implementation Steps\n1. **Create Tool File**: Create `{name}_tool.py` according to naming conventions\n2. **Define Class Structure**: Inherit from Tool base class, define necessary attributes\n3. **Implement Constructor**: Use pydantic Field to define parameters\n4. **Implement forward Method**: Core functionality logic\n5. **Add Private Methods**: Break down complex logic into private methods\n6. **Integrate Message Observer**: Support streaming output and multi-language\n7. **Exception Handling**: Comprehensive error handling and logging\n\n### 3. Testing and Integration\n1. **Unit Testing**: Test various input scenarios and edge cases\n2. **Integration Testing**: Integration testing with CoreAgent\n3. **Update Exports**: Add tool exports in `__init__.py`\n4. **Documentation Updates**: Update related documentation and examples\n\n## ⭐ Best Practices\n\n### 1. Performance Optimization\n- **Async Processing**: Use async processing for time-consuming operations\n- **Connection Pooling**: Reuse network connections to reduce latency\n- **Caching Mechanisms**: Use caching appropriately to improve response speed\n- **Concurrency Control**: Use Semaphore to control concurrent request numbers\n\n### 2. Security\n- **Input Validation**: Strictly validate input parameters\n- **Sensitive Information**: API keys and other sensitive information should not appear in logs\n- **Error Messages**: Avoid leaking sensitive information in error messages\n- **Timeout Control**: Set reasonable timeout times to prevent blocking\n\n### 3. Maintainability\n- **Modular Design**: Break down complex functionality into multiple methods\n- **Clear Comments**: Add detailed comments for complex logic\n- **Type Annotations**: Use complete type annotations\n- **Documentation Strings**: Add documentation strings for all public methods\n\n### 4. User Experience\n- **Multi-language Support**: Provide Chinese and English bilingual prompts\n- **Progress Feedback**: Provide real-time feedback through MessageObserver\n- **Error Prompts**: Provide clear error messages and solution suggestions\n- **Parameter Validation**: Validate parameter validity before execution\n\n## ⚠️ Important Notes\n\n1. **Version Compatibility**: Ensure tools are compatible with different versions of dependency libraries\n2. **Resource Cleanup**: Release network connections, file handles and other resources in time\n3. **Log Level**: Set log levels reasonably to avoid too much debug information\n4. **Configuration Management**: Support configuration of key parameters through environment variables\n5. **Error Recovery**: Provide error recovery mechanisms when possible\n\nBy following these guidelines, you can ensure that newly developed tools maintain consistency with existing tools and have good maintainability and extensibility. "
  },
  {
    "path": "doc/docs/en/sdk/data-process.md",
    "content": "# Data Processing Core\n\n## 📋 Overview\n\n`DataProcessCore` is a unified file processing core class that supports automatic detection and processing of multiple file formats, providing flexible chunking strategies and multiple input source support.\n\n## ⭐ Key Features\n\n### 1. Core Processing Method: `file_process()`\n\n**Function Signature:**\n```python\ndef file_process(self, \n                file_path_or_url: Optional[str] = None, \n                file_data: Optional[bytes] = None, \n                chunking_strategy: str = \"basic\", \n                destination: str = \"local\", \n                filename: Optional[str] = None, \n                **params) -> List[Dict]\n```\n\n**Parameters:**\n\n| Parameter | Type | Required | Description | Options |\n|-----------|------|----------|-------------|---------|\n| `file_path_or_url` | `str` | No* | Local file path or remote URL | Any valid file path or URL |\n| `file_data` | `bytes` | No* | File byte data (for memory processing) | Any valid byte data |\n| `chunking_strategy` | `str` | No | Chunking strategy | `\"basic\"`, `\"by_title\"`, `\"none\"` |\n| `destination` | `str` | No | Destination type, indicating file source | `\"local\"`, `\"minio\"`, `\"url\"` |\n| `filename` | `str` | No** | Filename | Any valid filename |\n| `**params` | `dict` | No | Additional processing parameters | See parameter details below |\n\n*Note: Either `file_path_or_url` or `file_data` must be provided\n**Note: When using `file_data`, `filename` is required\n\n**Chunking Strategy (`chunking_strategy`) Details:**\n\n| Strategy | Description | Use Case | Output Characteristics |\n|----------|-------------|----------|----------------------|\n| `\"basic\"` | Basic chunking strategy | Most document processing scenarios | Automatic chunking based on content length |\n| `\"by_title\"` | Title-based chunking | Structured documents with clear headings | Chunks divided by document structure |\n| `\"none\"` | No chunking | Small files or when full content is needed | Returns complete content without chunking |\n\n## 📁 Supported File Formats\n\n- **Text files**: .txt, .md, .csv\n- **Documents**: .pdf, .docx, .pptx\n- **Images**: .jpg, .png, .gif (with OCR)\n- **Web content**: HTML, URLs\n- **Archives**: .zip, .tar\n\n## 💡 Usage Examples\n\n```python\nfrom nexent.data_process import DataProcessCore\n\n# Initialize processor\nprocessor = DataProcessCore()\n\n# Process local file\nresults = processor.file_process(\n    file_path_or_url=\"/path/to/document.pdf\",\n    chunking_strategy=\"by_title\"\n)\n\n# Process from URL\nresults = processor.file_process(\n    file_path_or_url=\"https://example.com/document.pdf\",\n    destination=\"url\"\n)\n\n# Process from memory\nwith open(\"document.pdf\", \"rb\") as f:\n    file_data = f.read()\n    \nresults = processor.file_process(\n    file_data=file_data,\n    filename=\"document.pdf\",\n    chunking_strategy=\"basic\"\n)\n```\n\nFor detailed configuration and advanced usage, see the complete SDK documentation."
  },
  {
    "path": "doc/docs/en/sdk/features.md",
    "content": "# ⭐ Key Features Explained\n\nNexent SDK provides comprehensive enterprise-grade intelligent agent development capabilities. Below are detailed explanations of each core feature.\n\n## 🏢 Enterprise-grade Agent Framework\n\n### Extended from SmolAgents\n- **Complex Business Scenario Support**: Inherits SmolAgents' excellent architecture, supporting complex business logic processing\n- **Production Ready**: Built specifically for enterprise environments with proper scaling and monitoring capabilities\n- **Comprehensive Testing**: Extensive test coverage ensuring system reliability and stability\n\n### Core Advantages\n- **Multi-model Support**: Support for OpenAI, vision language models, long context models, etc.\n- **MCP Integration**: Seamless integration with Model Context Protocol tool ecosystem\n- **Dynamic Tool Loading**: Support for dynamic creation and management of local and MCP tools\n- **Distributed Execution**: High-performance execution engine based on thread pools and asynchronous architecture\n- **State Management**: Comprehensive task state tracking and error recovery mechanisms\n\n## ⚡ Distributed Processing Capabilities\n\n### Asynchronous Processing Architecture\n- **Based on asyncio**: High-performance asynchronous architecture supporting concurrent processing\n- **Multi-threading Support**: Thread-safe concurrent processing mechanisms\n- **Celery-friendly**: Design optimized for distributed task queues\n- **Batch Operations**: Support for large-scale data batch processing and optimization\n\n### Performance Optimization\n- **Connection Pool Management**: Reuse connections for better performance\n- **Memory Optimization**: Support for streaming processing of large files in memory\n- **Task Queue**: Support for task queue management and parallel processing\n- **Resource Monitoring**: Real-time monitoring of system resource usage\n\n## 🔧 Rich Agent Tool Ecosystem\n\n### Search Tools\n- **EXA Search**: High-performance web search service\n- **Tavily Search**: Intelligent search and content analysis\n- **Linkup Search**: Professional domain search service\n- **Local Knowledge Base Retrieval**: Semantic search support for vector databases\n\n### Communication Tools\n- **IMAP/SMTP Email**: Complete email sending and receiving functionality\n- **Real-time Communication**: Support for WebSocket and other real-time communication protocols\n- **API Integration**: Support for various third-party API integrations\n\n### MCP Integration\n- **Model Context Protocol**: Standardized tool integration protocol\n- **Unified Standards**: All tools follow consistent development standards and interface design\n- **Dynamic Loading**: Support for dynamic loading and hot updates of tools\n\n## 🎭 Multi-modal Support\n\n### Voice Services\n- **STT (Speech-to-Text)**: Support for multi-language speech recognition\n- **TTS (Text-to-Speech)**: Natural and fluent speech synthesis\n- **Real-time Voice Interaction**: Support for real-time voice conversation and processing\n\n### Vision Models\n- **Image Understanding**: Support for image content analysis and understanding\n- **Image Processing**: Provide image editing and processing functions\n- **Multi-modal Fusion**: Support for multi-modal fusion of text, image, and voice\n\n### Long Context Models\n- **Large-scale Document Processing**: Support for processing ultra-long documents and conversation history\n- **Context Management**: Intelligent context compression and management\n- **Memory Optimization**: Efficient long-term memory mechanisms\n\n## 📊 Powerful Data Processing Capabilities\n\n### Multi-format Support\n- **Document Formats**: PDF, Word, Excel, PowerPoint, HTML, etc.\n- **Table Data**: CSV, Excel, database exports, etc.\n- **Image Formats**: JPG, PNG, GIF, SVG, etc.\n- **Audio Formats**: MP3, WAV, FLAC, etc.\n- **Video Formats**: MP4, AVI, MOV, etc.\n\n### Intelligent Chunking Strategies\n- **Basic Chunking**: Document chunking by fixed size\n- **Title Chunking**: Intelligent chunking based on document structure\n- **No Chunking**: Processing method maintaining document integrity\n- **Custom Chunking**: Support for user-defined chunking strategies\n\n### Memory Processing Optimization\n- **Streaming Processing**: Support for streaming processing of large files in memory\n- **Memory Management**: Intelligent memory usage and release mechanisms\n- **Caching Strategy**: Multi-level caching to improve processing efficiency\n\n## 🔍 Vector Database Integration\n\n### Elasticsearch Integration\n- **Enterprise-grade Search**: Enterprise-grade vector search and document management\n- **Hybrid Search**: Combining exact matching and semantic search\n- **Large-scale Optimization**: Support for efficient retrieval of millions of documents\n\n### Embedding Model Support\n- **Jina Embeddings**: Integration with mainstream embedding models like Jina\n- **Multi-language Support**: Support for embeddings in Chinese, English, and other languages\n- **Custom Models**: Support for user-defined embedding models\n\n### Advanced Features\n- **Similarity Search**: Intelligent search based on vector similarity\n- **Clustering Analysis**: Automatic document clustering and classification\n- **Recommendation System**: Content recommendation based on vector similarity\n- **Real-time Updates**: Support for real-time updates to vector databases\n\n## 🛠️ Development Tools and Ecosystem\n\n### Development Tools\n- **Code Quality Checks**: Integration with code quality tools like ruff\n- **Testing Framework**: Complete pytest testing framework\n- **Documentation Generation**: Automatic API documentation generation\n- **Performance Monitoring**: Real-time performance monitoring and optimization\n\n### Deployment and Operations\n- **Containerization Support**: Complete Docker containerization solution\n- **CI/CD Integration**: Support for continuous integration and deployment\n- **Monitoring and Alerting**: Comprehensive monitoring and alerting mechanisms\n- **Log Management**: Structured log recording and management\n\n### Community Support\n- **Open Source Ecosystem**: Active open source community support\n- **Comprehensive Documentation**: Detailed Chinese and English documentation\n- **Rich Examples**: Extensive usage examples and best practices\n- **Technical Support**: Professional technical support services "
  },
  {
    "path": "doc/docs/en/sdk/monitoring.md",
    "content": "# 🚀 Nexent LLM Monitoring System\n\nEnterprise-grade monitoring solution specifically designed for monitoring LLM token generation speed and performance.\n\n## 📊 System Architecture\n\n```\n┌─────────────────────────────────────────────────────────┐\n│                Nexent LLM Monitoring System            │\n├─────────────────────────────────────────────────────────┤\n│                                                         │\n│  Nexent API ──► OpenTelemetry ──► Jaeger (Tracing)     │\n│      │                  │                               │\n│      │                  └──────► Prometheus (Metrics)   │\n│      │                             │                   │\n│      └─► OpenAI LLM                └──► Grafana (Visualization) │\n│          (Token Monitoring)                             │\n└─────────────────────────────────────────────────────────┘\n```\n\n## ⚡ Quick Start (5 minutes)\n\n```bash\n# 1. Start monitoring services\n./docker/start-monitoring.sh\n\n# 2. Install performance monitoring dependencies  \nuv sync --extra performance\n\n# 3. Enable monitoring\nexport ENABLE_TELEMETRY=true\n\n# 4. Start backend service\npython backend/config_service.py\npython backend/runtime_service.py\n```\n\n## 📊 Access Monitoring Interfaces\n\n| Interface | URL | Purpose |\n|-----------|-----|---------|\n| **Grafana Dashboard** | http://localhost:3005 | LLM Performance Monitoring |\n| **Jaeger Tracing** | http://localhost:16686 | Request Trace Analysis |  \n| **Prometheus Metrics** | http://localhost:9090 | Raw Monitoring Data |\n\n### 🔐 Grafana Login Information\n\nWhen first accessing Grafana (http://localhost:3005), you need to login:\n\n```\nUsername: admin\nPassword: admin\n```\n\n**After first login, you'll be prompted to change password:**\n- Set a new password (recommended)\n- Click \"Skip\" to skip (development environment)\n\n**After login, you can see:**\n- 📊 **LLM Performance Dashboard** - Pre-configured performance dashboard\n- 📈 **Data Source Configuration** - Auto-connected to Prometheus and Jaeger\n- 🎯 **Real-time Monitoring Panel** - Key metrics like token generation speed, latency\n\n## 🎯 Core Features\n\n### ⚡ LLM-Specific Monitoring\n- **Token Generation Speed**: Real-time monitoring of tokens generated per second\n- **TTFT (Time to First Token)**: First token return latency\n- **Streaming Response Analysis**: Generation timestamp for each token\n- **Model Performance Comparison**: Performance benchmarks across different models\n\n### 🔍 Distributed Tracing\n- **Complete Request Chain**: End-to-end tracing from HTTP to LLM\n- **Performance Bottleneck Detection**: Automatically identify slow queries and anomalies\n- **Error Root Cause Analysis**: Quickly locate problem sources\n\n### 🛠️ Developer-Friendly Design\n- **One-Line Integration**: Quick monitoring with decorators\n- **Zero-Dependency Degradation**: Auto-skip when monitoring dependencies are missing\n- **Zero-Touch Usage**: No need to manually check monitoring status, handled automatically\n- **Flexible Configuration**: Environment variable controlled behavior\n\n## 🛠️ Adding Monitoring to Code\n\n### 🎯 Recommended Approach: Singleton Pattern (v2.1+)\n\n```python\n# Backend service usage - directly use globally configured monitoring_manager\nfrom utils.monitoring import monitoring_manager\n\n# API endpoint monitoring\n@monitoring_manager.monitor_endpoint(\"my_service.my_function\")\nasync def my_api_function():\n    return {\"status\": \"ok\"}\n\n# LLM call monitoring\n@monitoring_manager.monitor_llm_call(\"gpt-4\", \"chat_completion\")\ndef call_llm(messages):\n    # Automatically get token-level monitoring\n    return llm_response\n\n# Manual monitoring events\nmonitoring_manager.add_span_event(\"custom_event\", {\"key\": \"value\"})\nmonitoring_manager.set_span_attributes(user_id=\"123\", action=\"process\")\n```\n\n### 📦 Direct SDK Usage\n\n```python\nfrom nexent.monitor import get_monitoring_manager\n\n# Get global monitoring manager - already configured in backend\nmonitor = get_monitoring_manager()\n\n# Use decorators\n@monitor.monitor_llm_call(\"claude-3\", \"completion\")\ndef my_llm_function():\n    return \"response\"\n\n# Or use directly in business logic\nwith monitor.trace_llm_request(\"custom_operation\", \"my_model\") as span:\n    # Execute business logic\n    result = process_data()\n    monitor.add_span_event(\"processing_completed\")\n    return result\n```\n\n### ✨ Global Configuration Automation\n\nMonitoring configuration is auto-initialized in `backend/utils/monitoring.py`:\n\n```python\n# No manual configuration needed - auto-completed at system startup\n# monitoring_manager already configured with environment variables\nfrom utils.monitoring import monitoring_manager\n\n# Direct usage without checking if enabled\n@monitoring_manager.monitor_endpoint(\"my_function\")\ndef my_function():\n    pass\n\n# FastAPI application initialization\nmonitoring_manager.setup_fastapi_app(app)\n```\n\n### 🔒 Auto Start/Stop Design\n\n- **Smart Monitoring**: Auto start/stop based on `ENABLE_TELEMETRY` environment variable\n- **Zero-Touch Usage**: External code doesn't need to check monitoring status, use all features directly\n- **Graceful Degradation**: Silent no-effect when disabled, normal operation when enabled\n- **Default Off**: Auto-disabled when not configured\n\n```bash\n# Enable monitoring\nexport ENABLE_TELEMETRY=true\n\n# Disable monitoring  \nexport ENABLE_TELEMETRY=false\n```\n\n## 📊 Core Monitoring Metrics\n\n| Metric | Description | Importance |\n|--------|-------------|------------|\n| `llm_token_generation_rate` | Token generation speed (tokens/s) | ⭐⭐⭐ |\n| `llm_time_to_first_token_seconds` | First token latency | ⭐⭐⭐ |\n| `llm_request_duration_seconds` | Complete request duration | ⭐⭐⭐ |\n| `llm_total_tokens` | Input/output token count | ⭐⭐ |\n| `llm_error_count` | LLM call error count | ⭐⭐⭐ |\n\n## 🔧 Environment Configuration\n\n```bash\n# Add to .env file\ncat >> .env << EOF\nENABLE_TELEMETRY=true\nSERVICE_NAME=nexent-backend\nJAEGER_ENDPOINT=http://localhost:14268/api/traces\nLLM_SLOW_REQUEST_THRESHOLD_SECONDS=5.0\nLLM_SLOW_TOKEN_RATE_THRESHOLD=10.0\nTELEMETRY_SAMPLE_RATE=1.0  # Development environment, production recommended 0.1\nEOF\n```\n\n## 🛠️ System Verification\n\n```bash\n# Check metrics endpoint\ncurl http://localhost:8000/metrics\n\n# Verify dependency installation\npython -c \"from backend.utils.monitoring import MONITORING_AVAILABLE; print(f'Monitoring Available: {MONITORING_AVAILABLE}')\"\n```\n\n## 🆘 Troubleshooting\n\n### No monitoring data?\n```bash\n# Check service status\ndocker-compose -f docker/docker-compose-monitoring.yml ps\n\n# Check dependency installation\npython -c \"import opentelemetry; print('✅ Monitoring dependencies installed')\"\n```\n\n### Port conflicts?\n```bash\n# Check port usage\nlsof -i :3005 -i :9090 -i :16686\n```\n\n### Dependency installation issues?\n```bash\n# Reinstall performance dependencies\nuv sync --extra performance\n\n# Check performance configuration in pyproject.toml\ncat backend/pyproject.toml | grep -A 20 \"performance\"\n```\n\n### Service name shows as unknown_service?\n```bash\n# Check environment variable configuration\necho \"SERVICE_NAME: $SERVICE_NAME\"\n\n# Restart monitoring service to apply new configuration\n./docker/start-monitoring.sh\n```\n\n## 🧹 Data Management\n\n### Clean Jaeger Trace Data\n```bash\n# Method 1: Restart Jaeger container (simplest)\ndocker-compose -f docker/docker-compose-monitoring.yml restart nexent-jaeger\n\n# Method 2: Completely rebuild Jaeger container and data\ndocker-compose -f docker/docker-compose-monitoring.yml stop nexent-jaeger\ndocker-compose -f docker/docker-compose-monitoring.yml rm -f nexent-jaeger\ndocker-compose -f docker/docker-compose-monitoring.yml up -d nexent-jaeger\n\n# Method 3: Clean all monitoring data (rebuild all containers)\ndocker-compose -f docker/docker-compose-monitoring.yml down\ndocker-compose -f docker/docker-compose-monitoring.yml up -d\n```\n\n### Clean Prometheus Metrics Data\n```bash\n# Restart Prometheus container\ndocker-compose -f docker/docker-compose-monitoring.yml restart nexent-prometheus\n\n# Completely clean Prometheus data\ndocker-compose -f docker/docker-compose-monitoring.yml stop nexent-prometheus\ndocker volume rm docker_prometheus_data 2>/dev/null || true\ndocker-compose -f docker/docker-compose-monitoring.yml up -d nexent-prometheus\n```\n\n### Clean Grafana Configuration\n```bash\n# Reset Grafana configuration and dashboards\ndocker-compose -f docker/docker-compose-monitoring.yml stop nexent-grafana\ndocker volume rm docker_grafana_data 2>/dev/null || true\ndocker-compose -f docker/docker-compose-monitoring.yml up -d nexent-grafana\n```\n\n## 📈 Typical Problem Analysis\n\n### Slow token generation (< 5 tokens/s)\n1. **Analysis**: Grafana → Token Generation Rate panel\n2. **Solution**: Check model service load, optimize input prompt length\n\n### Slow request response (> 10s)\n1. **Analysis**: Jaeger → View complete trace chain\n2. **Solution**: Locate bottleneck (database/LLM/network)\n\n### Error rate spike (> 10%)\n1. **Analysis**: Prometheus → llm_error_count metric\n2. **Solution**: Check model service availability, verify API keys\n\n## 🎉 Getting Started\n\nAfter setup completion, you can:\n\n1. 📊 View **LLM Performance Dashboard** in Grafana\n2. 🔍 Trace complete request chains in Jaeger  \n3. 📈 Analyze token generation speed and performance bottlenecks\n4. 🚨 Set performance alerts and thresholds\n\nEnjoy efficient LLM performance monitoring! 🚀\n"
  },
  {
    "path": "doc/docs/en/sdk/overview.md",
    "content": "# Nexent SDK\n\nNexent is a powerful, enterprise-grade Agent SDK that revolutionizes intelligent agent development. Built on proven enterprise architecture, it provides a comprehensive solution for building production-ready AI agents with distributed processing, real-time streaming, multi-modal capabilities, and an extensive ecosystem of tools and models.\n\n## 🚀 Installation and Usage\n\nFor detailed installation instructions and usage guides, see our **[Basic Usage Guide](./basic-usage#using-agent_run-recommended-for-streaming)** for both `CoreAgent.run` and streaming `agent_run`.\n\n## ⭐ Key Features\n\n### 🏢 Enterprise-grade Agent Framework\nExtended from SmolAgents, built specifically for enterprise environments with proper scaling and monitoring capabilities.\n\n### ⚡ Distributed Processing Capabilities\nHigh-performance asynchronous architecture based on asyncio, supporting large-scale data batch processing and optimization.\n\n### 🔧 Rich Agent Tool Ecosystem\nSupport for EXA, Tavily, Linkup web search, IMAP/SMTP email functionality, and Model Context Protocol tool integration.\n\n### 🎭 Multi-modal Support\nIntegrated STT & TTS voice services, support for image understanding and processing, and long context models.\n\n### 📊 Powerful Data Processing Capabilities\nProcessing 20+ document formats with intelligent chunking strategies and memory streaming processing.\n\n### 🔍 Vector Database Integration\nEnterprise-grade Elasticsearch vector search with hybrid search and large-scale optimization support.\n\nFor detailed features and usage instructions, please refer to **[Features Explained](./features)** and **[Basic Usage Guide](./basic-usage)**.\n\n## 🤖 Agent Framework\n\nNexent provides complete intelligent agent solutions with multi-model support, MCP integration, dynamic tool loading, and distributed execution.\n\n- Quick streaming run: **[Streaming with agent_run](./basic-usage#using-agent_run-recommended-for-streaming)**\n- Detailed Agent development and usage: **[Agents](./core/agents)**\n\n## 🛠️ Tool Collection\n\nNexent provides a rich tool ecosystem supporting multiple types of task processing. All tools follow unified development standards to ensure consistency and extensibility.\n\nFor detailed tool development standards and comprehensive tool documentation, please refer to: **[Tool Development Guide](./core/tools)**\n\n## 📊 Data Processing Capabilities\n\nEnterprise-grade document processing capabilities providing distributed processing support for 20+ document formats, intelligent chunking strategies, and memory optimization.\n\nFor detailed data processing capabilities and usage examples, please refer to: **[Data Processing Guide](./data-process)**\n\n## 🔍 Vector Database Capabilities\n\nProvides enterprise-grade vector search and document management capabilities with multiple search modes, embedding model integration, and large-scale optimization.\n\nFor comprehensive vector database integration and configuration, please refer to: **[Vector Database Guide](./vector-database)**\n\n## 🤖 Model Services\n\nProvides unified multi-modal AI model services with support for various model types and providers.\n\nFor comprehensive model integration and usage documentation, please refer to: **[Model Architecture Guide](./core/models)**\n\nFor more detailed usage instructions, please refer to the dedicated documentation for each module. "
  },
  {
    "path": "doc/docs/en/sdk/vector-database.md",
    "content": "# Vector Database\n\nThis document describes the vector database functionality in the Nexent SDK.\n\n## Overview\n\nThe vector database module provides efficient storage and retrieval of high-dimensional vector embeddings with support for:\n\n- Vector similarity search\n- Metadata filtering\n- Batch operations\n- Multiple backend support\n\n## Supported Backends\n\n### Elasticsearch\nHigh-performance distributed search and analytics engine.\n\n### Qdrant\nVector similarity search engine optimized for performance.\n\n### FAISS\nLibrary for efficient similarity search and clustering of dense vectors.\n\n## Usage\n\n```python\nfrom nexent.vector_database import VectorDB\n\n# Initialize vector database\nvector_db = VectorDB(\n    backend=\"elasticsearch\",\n    host=\"localhost\",\n    port=9200\n)\n\n# Insert vectors\nvector_db.insert(\n    vectors=embeddings,\n    metadata={\"source\": \"document.pdf\"}\n)\n\n# Search similar vectors\nresults = vector_db.search(\n    query_vector=query_embedding,\n    top_k=10\n)\n```\n\n## Configuration\n\nThe vector database can be configured through:\n- Connection parameters\n- Index settings\n- Search parameters\n\nFor detailed configuration options, see the SDK documentation."
  },
  {
    "path": "doc/docs/en/security.md",
    "content": "# Security Policy\n\n**Please do not report security vulnerabilities through public GitHub issues, discussions, or other public channels.**\n\nInstead, please disclose them responsibly by contacting our security team at:  \n📧 [chenshuangrui@gmail.com](mailto:chenshuangrui@gmail.com) \n\n## What to Include:\n- Detailed description of the vulnerability\n- Steps to reproduce\n- Potential impact assessment\n- Suggested fixes or mitigations (if known)\n\n## Our Response Process:\n- Acknowledgement within **48 hours**\n- Initial assessment within **5 business days**\n- Regular updates on remediation progress\n- Public disclosure timeline coordinated with reporter\n\n## Security Updates\nCritical security patches are released as soon as they're available. All security-related updates will be marked with **[SECURITY]** in release notes.\n\n## Recognition\nWhile we don't currently have a formal bug bounty program, we gratefully acknowledge responsible disclosures by:\n- Listing contributors in our Security Hall of Fame\n- Providing written recommendations (upon request)\n- Public thank-you in release notes (with permission)\n\n**Note:** This policy may be updated periodically. Last revised: January 2025 "
  },
  {
    "path": "doc/docs/en/testing/backend.md",
    "content": "# Backend Testing\n\nThis guide covers the comprehensive backend testing framework used in Nexent, including API testing, service layer testing, and utility function testing.\n\n## Test Structure\n\nThe backend tests are organized in the following structure:\n\n```\ntest/backend/\n├── app/                    # API endpoint tests\n│   ├── test_agent_app.py\n│   ├── test_base_app.py\n│   ├── test_config_sync_app.py\n│   ├── test_conversation_management_app.py\n│   ├── test_data_process_app.py\n│   ├── test_elasticsearch_app.py\n│   ├── test_file_management_app.py\n│   ├── test_image_app.py\n│   ├── test_knowledge_app.py\n│   ├── test_knowledge_summary_app.py\n│   ├── test_me_model_managment_app.py\n│   ├── test_model_managment_app.py\n│   ├── test_prompt_app.py\n│   └── test_remote_mcp_app.py\n├── services/              # Service layer tests\n│   ├── test_agent_service.py\n│   ├── test_conversation_management_service.py\n│   ├── test_data_process_service.py\n│   ├── test_elasticsearch_service.py\n│   ├── test_file_management_service.py\n│   ├── test_image_service.py\n│   ├── test_knowledge_service.py\n│   ├── test_knowledge_summary_service.py\n│   ├── test_model_management_service.py\n│   ├── test_prompt_service.py\n│   └── test_remote_mcp_service.py\n├── utils/                 # Utility function tests\n│   ├── test_langchain_utils.py\n│   └── test_prompt_template_utils.py\n└── run_all_test.py       # Backend test runner\n```\n\n## Running Backend Tests\n\n### Complete Backend Test Suite\n\n```bash\n# From project root\npython test/backend/run_all_test.py\n\n# From test/backend directory\ncd test/backend\npython run_all_test.py\n```\n\n### Individual Test Categories\n\n```bash\n# Run all API tests\npython -m pytest test/backend/app/ -v\n\n# Run all service tests\npython -m pytest test/backend/services/ -v\n\n# Run all utility tests\npython -m pytest test/backend/utils/ -v\n```\n\n### Specific Test Files\n\n```bash\n# Run specific API test\npython -m pytest test/backend/app/test_agent_app.py -v\n\n# Run specific service test\npython -m pytest test/backend/services/test_agent_service.py -v\n\n# Run specific utility test\npython -m pytest test/backend/utils/test_langchain_utils.py -v\n```\n\n## API Testing\n\nAPI tests use FastAPI's TestClient to simulate HTTP requests without running an actual server.\n\n### Test Setup Pattern\n\n```python\nimport os\nimport sys\nfrom unittest.mock import patch, MagicMock\nfrom fastapi.testclient import TestClient\nfrom fastapi import FastAPI\n\n# Dynamically determine the backend path\ncurrent_dir = os.path.dirname(os.path.abspath(__file__))\nbackend_dir = os.path.abspath(os.path.join(current_dir, \"../../../backend\"))\nsys.path.append(backend_dir)\n\n# Setup patches for dependencies before importing modules\npatches = [\n    patch('botocore.client.BaseClient._make_api_call', return_value={}),\n    patch('backend.database.client.MinioClient', MagicMock()),\n    patch('backend.database.client.db_client', MagicMock()),\n    patch('backend.utils.auth_utils.get_current_user_id', \n          MagicMock(return_value=('test_user', 'test_tenant'))),\n    patch('httpx.AsyncClient', MagicMock())\n]\n\n# Start all patches\nfor p in patches:\n    p.start()\n\n# Import modules after applying patches\nfrom backend.apps.agent_app import router\n\n# Create test app\napp = FastAPI()\napp.include_router(router)\nclient = TestClient(app)\n```\n\n### API Test Example\n\n```python\nclass TestAgentApp(unittest.TestCase):\n    \n    def setUp(self):\n        # Setup test client and common mocks\n        pass\n    \n    def test_create_agent_success(self):\n        \"\"\"Test successful agent creation\"\"\"\n        # Setup\n        agent_data = {\n            \"name\": \"Test Agent\",\n            \"description\": \"A test agent\",\n            \"system_prompt\": \"You are a test agent\"\n        }\n        \n        # Execute\n        response = client.post(\"/agents\", json=agent_data)\n        \n        # Assert\n        self.assertEqual(response.status_code, 200)\n        self.assertIn(\"id\", response.json())\n        self.assertEqual(response.json()[\"name\"], \"Test Agent\")\n    \n    def test_create_agent_invalid_data(self):\n        \"\"\"Test agent creation with invalid data\"\"\"\n        # Setup\n        invalid_data = {\"name\": \"\"}  # Missing required fields\n        \n        # Execute\n        response = client.post(\"/agents\", json=invalid_data)\n        \n        # Assert\n        self.assertEqual(response.status_code, 422)  # Validation error\n```\n\n## Service Layer Testing\n\nService layer tests focus on business logic and data processing without HTTP overhead.\n\n### Service Test Pattern\n\n```python\nclass TestAgentService(unittest.TestCase):\n    \n    @patch(\"backend.database.agent_db.save_agent\")\n    @patch(\"backend.utils.auth_utils.get_current_user_id\")\n    async def test_create_agent_success(self, mock_get_user, mock_save_agent):\n        # Setup\n        mock_get_user.return_value = (\"user123\", \"tenant456\")\n        mock_save_agent.return_value = {\"id\": 1, \"name\": \"Test Agent\"}\n        \n        # Execute\n        result = await create_agent(\n            name=\"Test Agent\",\n            description=\"A test agent\",\n            system_prompt=\"You are a test agent\"\n        )\n        \n        # Assert\n        mock_save_agent.assert_called_once()\n        self.assertEqual(result[\"name\"], \"Test Agent\")\n        self.assertIn(\"id\", result)\n```\n\n### Mocking Database Operations\n\n```python\n@patch(\"backend.database.agent_db.query_agent_by_id\")\n@patch(\"backend.database.agent_db.update_agent\")\nasync def test_update_agent_success(self, mock_update, mock_query):\n    # Setup\n    mock_query.return_value = {\"id\": 1, \"name\": \"Old Name\"}\n    mock_update.return_value = {\"id\": 1, \"name\": \"New Name\"}\n    \n    # Execute\n    result = await update_agent(agent_id=1, name=\"New Name\")\n    \n    # Assert\n    mock_update.assert_called_once_with(agent_id=1, name=\"New Name\")\n    self.assertEqual(result[\"name\"], \"New Name\")\n```\n\n## Utility Function Testing\n\nUtility functions are tested in isolation with mocked dependencies.\n\n### Utility Test Example\n\n```python\nclass TestLangchainUtils(unittest.TestCase):\n    \n    @patch(\"langchain.llms.openai.OpenAI\")\n    def test_create_llm_instance(self, mock_openai):\n        # Setup\n        mock_openai.return_value = MagicMock()\n        \n        # Execute\n        llm = create_llm_instance(model_name=\"gpt-3.5-turbo\")\n        \n        # Assert\n        mock_openai.assert_called_once()\n        self.assertIsNotNone(llm)\n```\n\n## Testing Asynchronous Code\n\nBackend tests handle both synchronous and asynchronous code:\n\n### Async Test Pattern\n\n```python\nclass TestAsyncService(unittest.TestCase):\n    \n    @patch(\"backend.database.agent_db.async_query\")\n    async def test_async_operation(self, mock_async_query):\n        # Setup\n        mock_async_query.return_value = {\"result\": \"success\"}\n        \n        # Execute\n        result = await async_operation()\n        \n        # Assert\n        self.assertEqual(result[\"result\"], \"success\")\n        mock_async_query.assert_called_once()\n```\n\n## Error Handling Tests\n\nComprehensive error handling is tested:\n\n```python\ndef test_api_error_handling(self):\n    \"\"\"Test API error responses\"\"\"\n    # Setup - mock service to raise exception\n    with patch('backend.services.agent_service.create_agent') as mock_service:\n        mock_service.side_effect = Exception(\"Database error\")\n        \n        # Execute\n        response = client.post(\"/agents\", json={\"name\": \"Test\"})\n        \n        # Assert\n        self.assertEqual(response.status_code, 500)\n        self.assertIn(\"error\", response.json())\n```\n\n## Authentication and Authorization Tests\n\nSecurity-related functionality is thoroughly tested:\n\n```python\ndef test_authentication_required(self):\n    \"\"\"Test that endpoints require authentication\"\"\"\n    # Execute without auth header\n    response = client.get(\"/agents\")\n    \n    # Assert\n    self.assertEqual(response.status_code, 401)\n\ndef test_tenant_isolation(self):\n    \"\"\"Test that users can only access their tenant's data\"\"\"\n    # Setup - mock auth to return different tenant\n    with patch('backend.utils.auth_utils.get_current_user_id') as mock_auth:\n        mock_auth.return_value = (\"user1\", \"tenant1\")\n        \n        # Execute\n        response = client.get(\"/agents\")\n        \n        # Assert - verify tenant filtering is applied\n        # This would check that the service layer filters by tenant\n```\n\n## Coverage Analysis\n\nBackend tests generate detailed coverage reports:\n\n### Coverage Commands\n\n```bash\n# Generate coverage report\npython -m pytest test/backend/ --cov=backend --cov-report=html --cov-report=xml\n\n# View coverage in terminal\npython -m pytest test/backend/ --cov=backend --cov-report=term-missing\n```\n\n### Coverage Targets\n\n- **API Endpoints**: 90%+ coverage\n- **Service Layer**: 85%+ coverage  \n- **Utility Functions**: 80%+ coverage\n- **Error Handling**: 100% coverage for critical paths\n\n## Test Data Management\n\n### Fixtures and Test Data\n\n```python\nclass TestWithFixtures(unittest.TestCase):\n    \n    def setUp(self):\n        \"\"\"Set up test data and mocks\"\"\"\n        self.test_agent = {\n            \"id\": 1,\n            \"name\": \"Test Agent\",\n            \"description\": \"A test agent\",\n            \"system_prompt\": \"You are a test agent\"\n        }\n        \n        self.test_user = (\"user123\", \"tenant456\")\n    \n    def tearDown(self):\n        \"\"\"Clean up after tests\"\"\"\n        # Reset any global state if needed\n        pass\n```\n\n## Performance Testing\n\nBackend tests include performance considerations:\n\n```python\ndef test_api_response_time(self):\n    \"\"\"Test that API responses are within acceptable time limits\"\"\"\n    import time\n    \n    start_time = time.time()\n    response = client.get(\"/agents\")\n    end_time = time.time()\n    \n    # Assert response time is under 100ms\n    self.assertLess(end_time - start_time, 0.1)\n    self.assertEqual(response.status_code, 200)\n```\n\n## Best Practices for Backend Testing\n\n1. **Mock External Dependencies**: Always mock database, external APIs, and services\n2. **Test Both Success and Failure**: Cover all possible code paths\n3. **Use Descriptive Test Names**: Make it clear what each test validates\n4. **Keep Tests Independent**: Each test should run in isolation\n5. **Test Edge Cases**: Include boundary conditions and error scenarios\n6. **Maintain Test Data**: Use consistent, realistic test data\n7. **Document Complex Tests**: Add comments for complex test scenarios\n8. **Regular Coverage Reviews**: Monitor and improve coverage over time\n\nThis comprehensive backend testing framework ensures that all backend functionality is thoroughly validated before deployment, maintaining high code quality and reliability. "
  },
  {
    "path": "doc/docs/en/testing/overview.md",
    "content": "# Testing Overview\n\nNexent provides a comprehensive testing framework that ensures code quality and reliability across all components. This guide covers the testing strategy, tools, and best practices used throughout the project.\n\n## Testing Philosophy\n\nOur testing approach is built on four core principles:\n\n1. **Isolate the unit**: Mock all external dependencies\n2. **Control the environment**: Set up precise test conditions  \n3. **Test the interface**: Focus on inputs and outputs\n4. **Verify behavior**: Check both results and interactions\n\nThis ensures that tests are reliable, fast, and don't affect real systems or data.\n\n## Testing Framework\n\nThe project uses a combination of testing frameworks:\n\n- **unittest**: Python's standard unit testing framework for test organization and assertions\n- **unittest.mock**: For mocking dependencies and isolating components\n- **TestClient** from FastAPI: For testing API endpoints without running an actual server\n- **pytest**: For advanced test discovery and execution\n- **coverage**: For code coverage analysis and reporting\n\n## Test Structure\n\n```\ntest/\n├── backend/                 # Backend tests\n│   ├── app/                # API endpoint tests\n│   ├── services/           # Service layer tests\n│   └── utils/              # Utility function tests\n├── frontend/               # Frontend tests (future)\n├── integration/            # Integration tests (future)\n└── run_all_tests.py       # Main test runner\n```\n\n## Key Features\n\n- 🔍 **Auto-discover test files** - Automatically finds all `test_*.py` files\n- 📊 **Coverage reports** - Generates console, HTML, and XML format coverage reports\n- 🔧 **Auto-install dependencies** - Automatically installs required packages if needed\n- ✅ **Detailed output** - Shows the running status and results of each test\n- 🚫 **Complete isolation** - No real external services are ever contacted\n- ⚡ **Fast execution** - No network delays or external service processing time\n\n## Running Tests\n\n### Quick Start\n\n```bash\n# Run all tests with coverage\ncd test\npython run_all_tests.py\n```\n\n### Backend Tests\n\n```bash\n# Run backend tests only\npython test/backend/run_all_test.py\n```\n\n### Individual Test Files\n\n```bash\n# Run specific test file\npython -m pytest test/backend/services/test_agent_service.py -v\n```\n\n## Output Files\n\nWhen tests complete, you'll find:\n\n- `coverage_html/` - Detailed HTML format coverage report\n- `coverage.xml` - XML format coverage report (for CI/CD)\n- `.coverage` - Coverage data file\n- Console output with detailed test results and coverage statistics\n\n## Testing Strategy\n\n### 1. Dependency Isolation\n\nExternal modules are mocked before imports to avoid real connections:\n\n- Database connections are mocked\n- ElasticSearch and other external services are mocked\n- No actual database operations are performed during tests\n- HTTP clients are mocked to prevent network calls\n\n### 2. Mock-based Testing\n\n- HTTP requests are simulated using FastAPI's TestClient\n- External service calls are intercepted with mock objects\n- No actual network connections or port bindings occur\n- Authentication functions are mocked to return predictable test values\n\n### 3. Test Organization\n\n- Tests are organized as classes inheriting from `unittest.TestCase`\n- Each API endpoint or function has multiple test cases (success, failure, exception scenarios)\n- Comprehensive patches are applied to isolate the code under test\n- Tests follow a clear setup-execute-assert pattern\n\n### 4. API Testing\n\n- API endpoints are tested for correct response codes, payload structure, and error handling\n- Both synchronous and asynchronous endpoints are covered\n- Streaming responses are tested through specialized test cases\n- Authentication and authorization are thoroughly tested\n\n## Module Patching Technique\n\nA critical technique used in the test suite is patching modules before they're imported. This prevents any real connections to external services.\n\n### Example: Patching Before Import\n\n```python\n# Dynamically determine the backend path\ncurrent_dir = os.path.dirname(os.path.abspath(__file__))\nbackend_dir = os.path.abspath(os.path.join(current_dir, \"../../../backend\"))\nsys.path.append(backend_dir)\n\n# Setup patches for dependencies before importing modules\npatches = [\n    patch('botocore.client.BaseClient._make_api_call', return_value={}),\n    patch('backend.database.client.MinioClient', MagicMock()),\n    patch('backend.database.client.db_client', MagicMock()),\n    patch('backend.utils.auth_utils.get_current_user_id', \n          MagicMock(return_value=('test_user', 'test_tenant'))),\n    patch('httpx.AsyncClient', MagicMock())\n]\n\n# Start all patches\nfor p in patches:\n    p.start()\n\n# Now import the modules after applying all patches\nfrom backend.apps.file_management_app import router\n```\n\n### Benefits of This Approach\n\n1. **Complete Isolation**: No real external services are ever contacted\n2. **No Side Effects**: Tests can't modify production databases or services\n3. **Faster Tests**: No network delays or external service processing time\n4. **Predictable Results**: Tests use controlled mock data for consistent results\n5. **No Port Binding**: The FastAPI application never binds to a real network port\n\n## Test Example\n\nHere's a detailed example of how tests are structured:\n\n```python\n@patch(\"utils.auth_utils.get_current_user_id\")\n@patch(\"database.agent_db.query_all_tools\")\nasync def test_list_tools_api_success(self, mock_query_all_tools, mock_get_current_user_id):\n    # Setup\n    mock_get_current_user_id.return_value = (\"user123\", \"tenant456\")\n    expected_tools = [{\"id\": 1, \"name\": \"Tool1\"}, {\"id\": 2, \"name\": \"Tool2\"}]\n    mock_query_all_tools.return_value = expected_tools\n    \n    # Execute\n    result = await list_tools_api(authorization=\"Bearer fake_token\")\n    \n    # Assert\n    mock_get_current_user_id.assert_called_once_with(\"Bearer fake_token\")\n    mock_query_all_tools.assert_called_once_with(tenant_id=\"tenant456\")\n    self.assertEqual(result, expected_tools)\n```\n\n## Coverage Reporting\n\nThe test suite generates comprehensive coverage reports:\n\n- **Console Output**: Line-by-line coverage details\n- **HTML Report**: Detailed coverage report in `coverage_html/`\n- **XML Report**: Coverage data for CI/CD integration\n- **Summary Statistics**: Overall coverage percentage and missing lines\n\n## Sample Output\n\n```\nNexent Community - Unit Test Runner\n============================================================\nDiscovered Test Files:\n----------------------------------------\n  • backend/services/test_agent_service.py\n  • backend/services/test_conversation_management_service.py\n  • backend/services/test_knowledge_summary_service.py\n\nTotal: 3 test files\n\n============================================================\nRunning Unit Tests with Coverage\n============================================================\n\ntest_get_enable_tool_id_by_agent_id ... ok\ntest_save_message_with_string_content ... ok\ntest_load_knowledge_prompts ... ok\n...\n\n============================================================\nCoverage Report\n============================================================\nName                                               Stmts   Miss  Cover   Missing\n--------------------------------------------------------------------------------\nbackend/services/agent_service.py                   120     15    88%   45-50, 78-82\nbackend/services/conversation_management_service.py  180     25    86%   123-128, 156-162\nbackend/services/knowledge_summary_service.py        45      8    82%   35-42\n--------------------------------------------------------------------------------\nTOTAL                                               345     48    86%\n\nHTML coverage report generated in: test/coverage_html\nXML coverage report generated: test/coverage.xml\n\n============================================================\n✅ All tests passed!\n```\n\n## Dependencies\n\nThe test runner automatically installs required packages if they're not already available:\n\n- `pytest-cov` - For pytest coverage integration\n- `coverage` - For code coverage analysis\n- `pytest` - For advanced test discovery and execution\n\n## Best Practices\n\n1. **Always mock external dependencies** before importing modules\n2. **Use descriptive test names** that explain what is being tested\n3. **Follow the setup-execute-assert pattern** for clear test structure\n4. **Test both success and failure scenarios** for comprehensive coverage\n5. **Keep tests independent** - each test should be able to run in isolation\n6. **Use meaningful mock data** that represents real-world scenarios\n7. **Document complex test scenarios** with clear comments\n\nThis testing framework ensures that all code changes are thoroughly validated before deployment, maintaining high code quality and reliability across the entire Nexent platform. "
  },
  {
    "path": "doc/docs/en/user-guide/agent-development.md",
    "content": "# Agent Development\n\nIn the Agent Development page, you can create, configure, and manage agents. Agents are the core feature of Nexent—they can understand your needs and perform corresponding tasks.\n\n## 🔧 Create an Agent\n\nOn the Agent Management tab, click \"Create Agent\" to create a new blank agent. Click \"Exit Create\" to leave creation mode.\nIf you have an existing agent configuration, you can also import it:\n\n1. Click \"Import Agent\"\n2. In the file selection dialog, select the agent configuration file (JSON format)\n3. Click \"Open\"; the system will validate the file format and content, and display the imported agent information\n\n<div style=\"display: flex; justify-content: left;\">\n  <img src=\"./assets/agent-development/import.png\" style=\"width: 80%; height: auto;\" />\n</div>\n\n> ⚠️ **Note:** If you import an agent with a duplicate name, a prompt dialog will appear. You can choose:\n> - **Import anyway**: Keep the duplicate name; the imported agent will be in an unavailable state and requires manual modification of the Agent name and variable name before it can be used\n> - **Regenerate and import**: The system will call the LLM to rename the Agent, which will consume a certain amount of model tokens and may take longer\n\n> 📌 **Important:** For agents created via import, if their tools include `knowledge_base_search` or other knowledge base search tools, these tools will only search **knowledge bases that the currently logged-in user is allowed to access in this environment**. The original knowledge base configuration in the exported agent will *not* be automatically inherited, so actual search results and answer quality may differ from what the original author observed.\n\n<div style=\"display: flex; justify-content: left;\">\n  <img src=\"./assets/agent-development/duplicated_import.png\" style=\"width: 80%; height: auto;\" />\n</div>\n\n## 👥 Configure Collaborative Agents/Tools\n\nYou can configure other collaborative agents for your created agent, as well as assign available tools to empower the agent to complete complex tasks.\n\n### 🤝 Collaborative Agents\n\n1. Click the plus sign under the \"Collaborative Agent\" tab to open the selectable agent list\n2. Select the agents you want to add from the dropdown list\n3. Multiple collaborative agents can be selected\n4. Click × to remove an agent from the selection\n\n<div style=\"display: flex; justify-content: left;\">\n  <img src=\"./assets/agent-development/set-collaboration.png\" style=\"width: 50%; height: auto;\" />\n</div>\n\n### 🛠️ Select Agent Tools\n\nAgents can use various tools to complete tasks, such as knowledge base search, file parsing, image parsing, email sending/receiving, file management, and other local tools. They can also integrate third-party MCP tools or custom tools.\n\n1. On the \"Select Tools\" tab, click \"Refresh Tools\" to update the available tool list\n2. Select the group containing the tool you want to add\n3. View all available tools under the group; click ⚙️ to view tool details and configure parameters\n4. Click the tool name to select/deselect it\n   - If the tool has required parameters that are not configured, a popup will appear to guide you through parameter configuration\n   - If all required parameters are already configured, the tool will be selected directly\n\n<div style=\"display: flex; justify-content: left;\">\n  <img src=\"./assets/agent-development/set-tool.png\" style=\"width: 50%; height: auto;\" />\n</div>\n\n> 💡 **Tips**：\n> 1. Please select the `knowledge_base_search` tool to enable the knowledge base search function.\n> 2. Please select the `analyze_text_file` tool to enable the parsing function for document and text files.\n> 3. Please select the `analyze_image` tool to enable the parsing function for image files.\n> \n> 📚 Want to learn about all the built-in local tools available in the system? Please refer to [Local Tools Overview](./local-tools/index.md).\n\n### 🔌 Add MCP Tools\n\nOn the \"Select Agent Tools\" tab, click \"MCP Config\" to configure MCP servers in the popup and view configured servers.\n\nYou can add MCP services to Nexent in the following two ways:\n\n**1️⃣ Add MCP Service via URL**\n\n🔔 This method is suitable for independently deployed MCP services (supports SSE and Streamable HTTP protocols):\n\n>1. In the **Add MCP Server** section at the top of the interface, fill in **Server name** and **Server URL**\n>\n>⚠️ **Note:** The server name must contain only English letters or digits; spaces, underscores, and other characters are not allowed.\n>\n>2. Click the **+ Add** button on the right to complete adding a single service\n\n**2️⃣ Add Containerized MCP Service via JSON Configuration**\n\n🔔 This method is suitable for containerized MCP services deployed via npx:\n\n>1. In the **Add Containerized MCP Service** input box, fill in a JSON configuration that matches the example format:\n>\n>```json\n>{\n> \"mcpServers\": {\n>   \"service-name\": {\n>     \"args\": [\n>       \"mcp-package-name@version\",\n>       \"additional-parameters\"\n>     ],\n>     \"command\": \"npx\"\n>   }\n> }\n>}\n>```\n>\n>2. In the **Port** input box below, enter the port number corresponding to the containerized service\n>3. Click the **+ Add** button on the right to complete adding the containerized service\n\n<div style=\"display: flex; justify-content: left;\">\n  <img src=\"./assets/agent-development/mcp.png\" style=\"width: 80%; height: auto;\" />\n</div>\n\nMany third-party services such as [ModelScope](https://www.modelscope.cn/mcp) provide MCP services, which you can quickly integrate and use.\nYou can also develop your own MCP services and connect them to Nexent; see [MCP Tool Development](../backend/tools/mcp).\n\n### ⚙️ Custom Tools\n\nYou can refer to the following guides to develop your own tools and integrate them into Nexent to enrich agent capabilities:\n\n- [LangChain Tools Guide](../backend/tools/langchain)\n- [MCP Tool Development](../backend/tools/mcp)\n- [SDK Tool Documentation](../sdk/core/tools)\n\n### 🧪 Tool Testing\n\nNexent provides a \"Tool Testing\" capability for all types of tools—whether they are built-in tools, externally integrated MCP tools, or custom-developed tools. If you are unsure about a tool's effectiveness when creating an agent, you can use the testing feature to verify that the tool works as expected.\n\n1. Click the gear icon ⚙️ next to the tool to open the tool's detailed configuration popup\n2. First, ensure that all required parameters (marked with red asterisks) are configured\n3. Click the \"Test Tool\" button in the lower left corner of the popup\n4. A new test panel will appear on the right side\n5. Enter the tool's input parameters in the test panel. For example:\n   - When testing the local knowledge base search tool `knowledge_base_search`, you need to enter:\n     - The test `query`, such as \"benefits of vitamin C\"\n     - The search `search_mode` (default is `hybrid`)\n     - The target index list `index_names`, such as `[\"Medical\", \"Vitamin Encyclopedia\"]`\n     - If `index_names` is not entered, it will default to searching all knowledge bases selected on the knowledge base page\n6. After entering the parameters, click \"Execute Test\" to start the test and view the test results below\n\n<div style=\"display: flex; justify-content: left;\">\n  <img src=\"./assets/agent-development/tool-test-run.png\" style=\"width: 80%; height: auto;\" />\n</div>\n\n## 📝 Describe Business Logic\n\n### ✍️ Describe How the Agent Should Work\n\nBased on the selected collaborative agents and tools, you can now describe in simple language how you expect this agent to work. Nexent will automatically generate the agent name, description, and prompts based on your configuration and description.\n\n1. In the editor under \"Describe how should this agent work\", enter a brief description, such as \"You are a professional knowledge Q&A assistant with local knowledge search and online search capabilities, synthesizing information to answer user questions\"\n2. Select a model (choose a smarter model when generating prompts to optimize response logic), click the \"Generate Agent\" button, and Nexent will generate detailed agent content for you, including basic information and prompts (role, usage requirements, examples)\n3. You can edit and fine-tune the auto-generated content (especially the prompts) in the Agent Detail Content below\n\n<div style=\"display: flex; justify-content: left;\">\n  <img src=\"./assets/agent-development/generate-agent.png\" style=\"width: 50%; height: auto;\" />\n</div>\n\n### 🐛 Debug and Save\n\nAfter completing the initial agent configuration, you can debug the agent and fine-tune the prompts based on the debugging results to continuously improve agent performance.\n\n1. Click the \"Debug\" button in the lower right corner of the page to open the agent debug page\n2. Test conversations with the agent and observe its responses and behavior\n3. Review conversation performance and error messages, and optimize the agent prompts based on the test results\n\nAfter successful debugging, click the \"Save\" button in the lower right corner, and the agent will be saved and appear in the agent list.\n\n## 📋 Manage Agents\n\nIn the agent list on the left, you can perform the following operations on existing agents:\n\n### 🔗 View Call Relationships\n\nView the collaborative agents/tools used by the agent, displayed in a tree diagram to clearly see the agent call relationships.\n\n<div style=\"display: flex; justify-content: left;\">\n  <img src=\"./assets/agent-development/agent-relationship.png\" style=\"width: 80%; height: auto;\" />\n</div>\n\n### 📤 Export\n\nExport successfully debugged agents as JSON configuration files. You can use this JSON file to create a copy by importing it when creating an agent.\n\n### 📋 Copy\n\nCopy an agent to facilitate experimentation, multi-version debugging, and parallel development.\n\n### 🗑️ Delete\n\nDelete an agent (this cannot be undone, please proceed with caution).\n\n## 🚀 Next Steps\n\nAfter completing agent development, you can:\n\n1. View and manage all agents in **[Agent Space](./agent-space)**\n2. Interact with agents in **[Start Chat](./start-chat)**\n3. Configure **[Memory Management](./memory-management)** to enhance the agent's personalization capabilities\n\nIf you encounter any issues during agent development, please refer to our **[FAQ](../quick-start/faq)** or ask for support in [GitHub Discussions](https://github.com/ModelEngine-Group/nexent/discussions).\n"
  },
  {
    "path": "doc/docs/en/user-guide/agent-market.md",
    "content": "# Agent Market\n\n🎁 Here you'll find high-quality agents created by **Nexent Official** and **community creators**\n\nYou can use them directly to complete specific tasks, or incorporate them as sub-agents into your own agents\n\n![Agent Market](./assets/agent-market/agent-market.png)\n\n## 🔍 Explore and Discover\n\nYou can quickly find the best agents through the following methods:\n\n1. Browse or search by use case category\n2. View agent feature descriptions to confirm if they meet your needs 🆗\n3. Check built-in tools to confirm if they are ready or available ✅\n\n<div style=\"display: flex; justify-content: center; gap: 16px; flex-wrap: wrap;\">\n\n\n  <img src=\"./assets/agent-market/agent-market-detail.png\" \n       style=\"width: auto; height: auto;\" \n       alt=\"Select Agent\" />\n\n  <img src=\"./assets/agent-market/agent-market-detail2.png\" \n       style=\"width: auto; height: auto;\" \n       alt=\"Dialog Box\" />\n</div>\n\n## 🔧 Install Agents\n\nSelect your preferred agent, download with one click, and add it to your agent space immediately\n\n### 1️⃣ Select Models\n\n🌟 Confirm model availability\n\n✍️ Configure the same model for all agents uniformly, or select appropriate models for the main agent and sub-agents separately\n\n![Agent Market Download](./assets/agent-market/agent-market-download.png)\n\n### 2️⃣ Configure Local Tools\n\n🔑 Fill in local tool permissions as prompted\n\n![Agent Market Download 2](./assets/agent-market/agent-market-download2.png)\n\n### 3️⃣ Configure External MCP Tools\n\n🔑 Fill in MCP tool permissions as prompted\n\nAfter installation, your agent will be ready in **[Agent Space](./agent-space)**\n\n## 📢 Share Your Creations\n\nCreated an excellent agent? 👍\n\nWelcome to share your work in [GitHub Discussions](https://github.com/ModelEngine-Group/nexent/discussions), and we'll contact you as soon as possible to let more people see and use it!\n\n## 🚀 Related Features\n\nWhile waiting for the Agent Market to launch, you can:\n\n1. Manage your own agents in **[Agent Space](./agent-space)**\n2. Create custom agents through **[Agent Development](./agent-development)**\n3. Experience the powerful features of agents in **[Start Chat](./start-chat)**\n\nIf you encounter any issues during use, please refer to our **[FAQ](../quick-start/faq)** or ask for support in [GitHub Discussions](https://github.com/ModelEngine-Group/nexent/discussions).\n"
  },
  {
    "path": "doc/docs/en/user-guide/agent-space.md",
    "content": "# Agent Space\n\nAgent Space is the central dashboard for every agent you have built. View agents in card form, inspect their configurations, delete or export them, and jump straight into chats.\n\n![Agent Space](./assets/agent-space/agent-space.png)\n\n## 📦 Agent Cards\n\nEach agent appears as a card showing:\n\n- **Icon** – The agent’s avatar.\n- **Name** – The display name.\n- **Description** – A quick summary of what it does.\n- **Status** – Whether the agent is available.\n- **Actions** – Shortcuts for editing, exporting, deleting, and more.\n\n## 🔧 Manage Agents\n\n### View Agent Details\n\nClick a card to open its details:\n\n- **Basic info:** ID, name, description, and status.\n- **Model configuration:** Model name, max tokens, business logic model, etc.\n- **Prompts:** Role, constraints, examples, and the original description.\n- **Tools:** Every tool the agent can use.\n- **Sub-agents:** Any collaborative agents that are configured.\n\n![Agent Details](./assets/agent-space/agent-details.png)\n\n### Edit an Agent\n\n1. Click **Edit** on the card.\n2. You’ll be taken to the Agent Development page.\n3. Adjust the settings and save—updates sync back to Agent Space automatically.\n\n### Delete an Agent\n\n1. Click **Delete** on the card.\n2. Confirm the deletion (this cannot be undone).\n\n> ⚠️ **Note:** Deleting an agent permanently removes it. Export a backup first if you might need it later.\n\n### Export an Agent\n\n1. Click **Export** on the card.\n2. Nexent downloads a JSON configuration file you can import later.\n\n### Copy an Agent\n\n1. Click **Copy** on the card to duplicate the agent.\n2. This facilitates experimentation, multi-version debugging, and parallel development.\n\n### View Relationships\n\n1. Click **View Relationships** to see how the agent interacts with tools and other agents.\n\n### Jump to Chat\n\n1. Click **Chat** to open Start Chat with the agent already selected.\n\n## 🚀 Next Steps\n\nOnce you finish reviewing agents you can:\n\n1. Talk to them in **[Start Chat](./start-chat)**.\n2. Continue iterating in **[Agent Development](./agent-development)**.\n3. Enhance retention with **[Memory Management](./memory-management)**.\n\nNeed help? Check the **[FAQ](../quick-start/faq)** or open a thread in [GitHub Discussions](https://github.com/ModelEngine-Group/nexent/discussions).\n"
  },
  {
    "path": "doc/docs/en/user-guide/home-page.md",
    "content": "# User Guide\n\nNexent is a future-oriented zero-code agent development platform that helps anyone build and deploy custom AI agents without writing code or handling complex workflows.\n\nThis guide walks you through Nexent’s major features and daily workflows so you can get productive in minutes.\n\nBy the end, you’ll know how to turn your ideas into production-ready agents that deliver real value at work and in life.\n\n## 🏠 Homepage Overview\n\nThe Nexent homepage highlights the core entry points of the platform:\n\n![Homepage Overview](./assets/home-page/homepage.png)\n\n### Primary actions\n\n1. **Start Chatting** – Jump straight into the chat interface and talk to an agent.\n2. **Quick Setup** – Follow the guided flow to finish model, knowledge base, and agent setup in sequence.\n3. **Agent Space** – Browse and manage every agent you have built.\n\n### Left navigation\n\nTaking the administrator account as an example, the left sidebar exposes every major module:\n\n- **Home Page** – Return to the homepage.\n- **Start Chat** – Open the chat interface.\n- **Quick Setup** – Complete the recommended setup flow (Models → Knowledge Base → Agent).\n- **Agent Space** – Manage all existing agents.\n- **Agent Market** – Discover and install published agents.\n- **Agent Development** – Create and configure agents.\n- **Knowledge Base** – Upload documents and materials to help agents understand your exclusive knowledge.\n- **MCP Tools** – Connect servers, sync tools, and view status at a glance (coming soon).\n- **Monitoring & Operations** – Monitor agent runtime status in real time (coming soon).\n- **Model Management** – Manage app information and model configuration, connect the AI capabilities you need.\n- **Memory Management** – Control agents' long-term memory for more efficient conversations.\n- **User Management** – Provide unified user, role, and permission control for teams (coming soon).\n\nUse the language switcher in the top-right corner to toggle between Simplified Chinese and English. The lower-left corner shows the running Nexent version to simplify troubleshooting when asking for help.\n\n## 🚀 Quick Start\n\nWe recommend configuring the platform in this order:\n\n1. Set up **[Model Management](./model-management)** to define app details and connect AI models.\n2. Create your **[Knowledge Base](./knowledge-base)** and upload documents.\n3. Conduct **[Agent Development](./agent-development)** on top of the models and knowledge base.\n4. When everything is ready, chat with your agents via **[Start Chat](./start-chat)**.\n\nAlternatively, you can click the \"Quick Setup\" button on the homepage or in the navigation bar and follow the guided flow to complete the setup.\n\n## 💡 Get Help\n\nNeed help? Check the **[FAQ](../quick-start/faq)** or open a thread in [GitHub Discussions](https://github.com/ModelEngine-Group/nexent/discussions)."
  },
  {
    "path": "doc/docs/en/user-guide/knowledge-base.md",
    "content": "# Knowledge Base\n\nCreate and manage knowledge bases, upload documents, and generate summaries. Knowledge bases are critical information sources that let agents securely use your private data.\n\n## 🔧 Create a Knowledge Base\n\n1. Click **Create Knowledge Base**\n2. Enter a descriptive, unique name\n   > **Note:** Knowledge base names must be unique and can only contain Chinese characters or lowercase letters. Spaces, slashes, and other special characters are not allowed.\n\n## 📁 Upload Files\n\n### Upload Files\n\n1. Select a knowledge base from the list\n2. Click the upload area to pick files (multi-select supported) or drag them in directly\n3. Nexent automatically parses files, extracts text, and vectorizes the content\n4. Track the processing status in the list (Parsing/Ingesting/Ready)\n\n![File Upload](./assets/knowledge-base/create-knowledge-base.png)\n\n💡 Hover over the status to understand the progress and error reasons\n\n![File Upload](./assets/knowledge-base/tip.png)\n\n### Supported File Formats\n\nNexent supports multiple file formats, including:\n- **Text:** .txt, .md\n- **PDF:** .pdf\n- **Word:** .docx\n- **PowerPoint:** .pptx\n- **Excel:** .xlsx\n- **Data files:** .csv\n\n## 📊 Knowledge Base Summary\n\nGive every knowledge base a clear summary so agents can pick the right source during retrieval.\n\n1. Click **Details** to open the detailed view\n2. Choose a model and click **Auto Summary** to generate a description\n3. Edit the generated text to improve accuracy\n4. Click **Save** to store your changes\n\n![Content Summary](./assets/knowledge-base/summary-knowledge-base.png)\n\n## 🔧 Using Knowledge Bases\n\nNexent supports binding knowledge bases to agents individually. When creating an agent, **enable the knowledge_base_search tool** and select the associated knowledge base.\n\n<img src=\"./assets/knowledge-base/knowledge-tool.png\" alt=\"Tool 1\" style=\"width:75%;\">\n\n![Tool 2](./assets/knowledge-base/knowledge-tool2.png)\n\n## 🔍 Knowledge Base Management\n\n### View Knowledge Bases\n\n1. **Knowledge Base List**\n   - The left column lists every created knowledge base\n   - Shows the name, file count, creation time, and more\n2. **Knowledge Base Details**\n   - Click a knowledge base to see all documents\n   - Click **Details** to view or edit the summary\n\n### Edit Knowledge Bases\n\n1. **Delete Knowledge Base**\n   - Click **Delete** to the right of the knowledge base row\n   - Confirm the deletion (irreversible)\n\n2. **Delete or Add Files**\n   - Inside the file list, click **Delete** to remove a document\n   - Use the upload area under the list to add new files\n\n## 🚀 Next Steps\n\nAfter completing knowledge base configuration, we recommend you continue with:\n\n1. **[Agent Development](./agent-development)** – Create and configure agents\n2. **[Start Chat](./start-chat)** – Interact with your agent\n\nNeed help? Check the **[FAQ](../quick-start/faq)** or open a thread in [GitHub Discussions](https://github.com/ModelEngine-Group/nexent/discussions)."
  },
  {
    "path": "doc/docs/en/user-guide/local-tools/email-tools.md",
    "content": "---\ntitle: Email Tools\n---\n\n# Email Tools\n\nEmail tools help agents receive notifications and send results via common mail providers.\n\n## 🧭 Tool List\n\n- `get_email`: Fetch emails by time window and sender, with max count limits\n- `send_email`: Send HTML emails with multiple recipients, CC, and BCC\n\n## 🧰 Example Use Cases\n\n- Periodically pull the past 7 days of notifications for summarization\n- Send execution results to recipients and CC teammates\n- Filter alerts from specific monitoring senders\n\n## 🧾 Parameters & Behavior\n\n### get_email\n- `days`: Look back in days, default 7.\n- `sender`: Filter by email address, optional.\n- `max_emails`: Max messages to return, default 10.\n- Requires IMAP host, port, username, password; SSL supported.\n- Returns JSON with subject, time, sender, and body summary.\n\n### send_email\n- `to`: Comma-separated recipients.\n- `subject`: Email subject.\n- `content`: HTML body.\n- `cc`, `bcc`: Comma-separated CC/BCC, optional.\n- Requires SMTP host, port, username, password; optional sender display name and SSL.\n- Returns delivery status, subject, and recipient info.\n\n## 🛠️ How to Use\n\n1. **Collect provider settings**: IMAP/SMTP host, port, account/app password, SSL.\n2. **Receive**: Call `get_email` with `days`/`sender`/`max_emails`; start with small ranges to test.\n3. **Send**: Call `send_email` with recipients, subject, and HTML content; add `cc`/`bcc` if needed.\n4. **Post-process**: Summarize or extract key info from fetched bodies if desired.\n\n## 🛡️ Safety & Best Practices\n\n- Use provider-issued app passwords or restricted accounts; avoid exposing primary credentials.\n- Keep `max_emails` reasonable to avoid heavy pulls.\n- Verify recipient lists before sending; restrict allowed domains in production.\n\n## 📮 Common Provider Settings\n\nUse app passwords where available and enable IMAP/SMTP in account settings. Ports reflect common defaults—always confirm with the provider’s latest docs.\n\n- QQ Mail: IMAP `imap.qq.com:993` (SSL); SMTP `smtp.qq.com:465` (SSL); enable IMAP/SMTP and generate an authorization code.\n- Gmail: IMAP `imap.gmail.com:993`; SMTP `smtp.gmail.com:465` (SSL) or `587` (STARTTLS); enable IMAP and use an app password.\n- Outlook (Microsoft 365/Hotmail): IMAP `outlook.office365.com:993`; SMTP `smtp.office365.com:587` (STARTTLS); tenants may require modern auth or app passwords.\n- 163 Mail: IMAP `imap.163.com:993` (SSL); SMTP `smtp.163.com:465` (SSL); enable client authorization password in mailbox settings.\n\n"
  },
  {
    "path": "doc/docs/en/user-guide/local-tools/file-tools.md",
    "content": "---\ntitle: File Tools\n---\n\n# File Tools\n\nFile tools provide safe, workspace-scoped operations for files and folders. All paths must be relative to the workspace root (default `/mnt/nexent`).\n\n## 🧭 Tool List\n\n- `create_directory`: Create directories (auto-create parents, optional permissions)\n- `create_file`: Create files and write content (auto-create parents)\n- `read_file`: Read file content with metadata\n- `list_directory`: Show directory tree\n- `move_item`: Move files/folders without overwriting\n- `delete_file`: Delete a single file (irreversible)\n- `delete_directory`: Recursively delete a directory (irreversible)\n\n## 🧰 Example Use Cases\n\n- Initialize project folders and config files\n- Inspect logs or check file size/line counts\n- Browse workspace structure before editing\n- Move artifacts to backup locations\n- Clean up temp files or unused directories\n\n## 🧾 Parameters & Behavior\n\n### Common constraints\n- Paths must stay inside the workspace; absolute or escaping paths are blocked.\n- Delete/move operations are irreversible—double-check before running.\n\n### Key parameters\n- `directory_path` / `file_path` / `source_path` / `destination_path`: required relative paths.\n- `permissions` (`create_directory`): octal string, default `755`.\n- `encoding` (`create_file` / `read_file`): default `utf-8`.\n- `max_depth`, `show_hidden`, `show_size` (`list_directory`): control tree depth, hidden items, and size display.\n\n### Returns\n- Success responses include relative/absolute paths, sizes, and existence flags.\n- Errors explain boundary checks, existing targets, or permission issues.\n\n## 🛠️ How to Use\n\n1. **Create**: Use `create_directory` or `create_file` with a relative path; set permissions/encoding when needed.\n2. **Inspect**: Use `list_directory` to browse; use `read_file` for content and metadata.\n3. **Move**: Use `move_item`; it stops if the destination already exists to avoid overwrites.\n4. **Delete**: Use `delete_file` or `delete_directory`; confirm the target since deletion cannot be undone.\n\n## 🛡️ Safety & Best Practices\n\n- Operate only inside the workspace; avoid absolute paths or `..` traversal.\n- Before deleting, run `list_directory` or `read_file` to confirm the target.\n- Large files trigger warnings; consider chunked processing instead of single full reads.\n\n"
  },
  {
    "path": "doc/docs/en/user-guide/local-tools/index.md",
    "content": "# Overview\n\nLocal tools let agents interact with the workspace, remote hosts, and external services across files, email, search, multimodal, and remote terminals. Each tool has its own page grouped by capability.\n\n## 📂 Directory\n\n- [File Tools](./file-tools): Create/read/move/delete files and folders; list directory trees.\n- [Email Tools](./email-tools): Receive IMAP mail; send HTML mail with CC/BCC.\n- [Search Tools](./search-tools): Local/DataMate KB search plus Exa/Tavily/Linkup web search.\n- [Multimodal Tools](./multimodal-tools): Download/parse/analyze text files and images.\n- [Terminal Tool](./terminal-tool): Persistent SSH sessions for remote commands.\n\n## ⚙️ Configuration Entry\n\n1. Go to **[Agent Development](../agent-development)**.\n2. In “Select Agent Tools,” find the tool and open configuration.\n3. Fill connection/auth parameters, save, and run a test connection first.\n\n## 💡 Usage Tips\n\n- File paths must stay inside the workspace and use relative paths.\n- Set API keys for public search in the platform’s secure config.\n- Terminal access touches remote hosts—confirm network and account controls.\n- Delete/move operations are irreversible; double-check targets first.\n\nNeed help? Open a thread in [GitHub Discussions](https://github.com/ModelEngine-Group/nexent/discussions).\n"
  },
  {
    "path": "doc/docs/en/user-guide/local-tools/multimodal-tools.md",
    "content": "---\ntitle: Multimodal Tools\n---\n\n# Multimodal Tools\n\nMultimodal tools analyze text files and images with model support. URLs can be S3, HTTP, or HTTPS.\n\n## 🧭 Tool List\n\n- `analyze_text_file`: Download and extract text, then analyze per question\n- `analyze_image`: Download images and interpret them with a vision-language model\n\n## 🧰 Example Use Cases\n\n- Summarize documents stored in buckets\n- Explain screenshots, product photos, or chart images\n- Produce per-file or per-image answers aligned with the input order\n\n## 🧾 Parameters & Behavior\n\n### analyze_text_file\n- `file_url_list`: List of URLs (`s3://bucket/key`, `/bucket/key`, `http(s)://`).\n- `query`: User question/analysis goal.\n- Downloads each file, extracts text, and returns an array of analyses in input order.\n\n### analyze_image\n- `image_urls_list`: List of URLs (`s3://bucket/key`, `/bucket/key`, `http(s)://`).\n- `query`: User focus/question.\n- Downloads each image, runs VLM analysis, and returns an array matching input order.\n\n## ⚙️ Prerequisites\n\n- Configure storage access (e.g., MinIO/S3) and data processing service to fetch files.\n- Provide an LLM for `analyze_text_file` and a VLM for `analyze_image`.\n\n## 🛠️ How to Use\n\n1. Prepare accessible URLs and confirm permissions.\n2. Call the corresponding tool with the URL list and question; multiple resources are supported at once.\n3. Use results in the same order as inputs for display or follow-up steps.\n\n## 💡 Best Practices\n\n- For large files, preprocess or chunk them to reduce timeouts.\n- For multiple images, be explicit about the focus (e.g., “focus on chart trends”) to improve answers.\n- If results are empty or errors occur, verify URL accessibility and model readiness.\n\n"
  },
  {
    "path": "doc/docs/en/user-guide/local-tools/search-tools.md",
    "content": "---\ntitle: Search Tools\n---\n\n# Search Tools\n\nSearch tools cover internet search plus local, DataMate, and Dify knowledge bases, useful for real-time info, industry materials, and private docs.\n\n## 🧭 Tool List\n\n- Local/private knowledge bases:\n  - `knowledge_base_search`: Local KB search with multiple modes\n  - `datamate_search`: Search DataMate KB\n  - `dify_search`: Search Dify KB\n- Public web search:\n  - `exa_search`: Web and image search via Exa\n  - `tavily_search`: Web and image search via Tavily\n  - `linkup_search`: Mixed text/image search via Linkup\n\n## 🧰 Example Use Cases\n\n- Retrieve internal docs, specs, and industry references (KB, DataMate, Dify)\n- Fetch latest news or web evidence (Exa / Tavily / Linkup)\n- Return image references alongside text (with optional filtering)\n\n## 🧾 Parameters & Behavior\n\n### knowledge_base_search\n- **Configuration Parameters**: `top_k` (number of results to return, default 3)\n- **Search Parameters**:\n  - `query`: Required.\n  - `search_mode`: `hybrid` (default), `accurate`, or `semantic`.\n  - `index_names`: Optional list of KB names (user-facing or internal).\n- Returns title, path/URL, source type, score, and citation info. Warns if no KB is selected.\n\n### datamate_search\n- **Configuration Parameters**:\n  - `server_url`: DataMate server URL (e.g., `http://192.168.1.100:8080` or `https://datamate.example.com:8443`)\n  - `verify_ssl`: Whether to verify SSL certificates (default False for HTTPS, True for HTTP)\n- **Search Parameters**:\n  - `query`: Required.\n  - `top_k`: Default 10.\n  - `threshold`: Default 0.2.\n  - `index_names`: Optional list of KB names to search.\n  - `kb_page` / `kb_page_size`: Paginate DataMate KB list.\n- Returns filename, download URL, and scores.\n\n### dify_search\n- **Configuration Parameters**:\n  - `dify_api_base`: Dify API base URL\n    - If you deploy Dify locally, use `http://host.docker.internal/v1` directly.\n    - If you deploy Dify on a server, use `http://x.x.x.x:x/v1`and replace with the appropriate IP and port.\n    - If you use Dify's official cloud service, use `https://api.dify.ai/v1`  directly.\n  - `api_key`: Dify knowledge base API key, start with `dataset-` (create in Dify knowledge base page → API tab → API Keys button)\n  - `dataset_ids`: List of dataset IDs (e.g., `[\"e912e1f5-29c0-40da-8baf-d35da77c60df\"]`, found in Dify knowledge base page URL)\n  - `top_k`: Number of results to return, default 3\n- **Search Parameters**:\n  - `query`: Required.\n  - `search_method`: Search method options: `keyword_search`, `semantic_search`, `full_text_search`, `hybrid_search`, default `semantic_search`.\n- Returns title, content, score, etc.\n\n### exa_search / tavily_search / linkup_search\n- **Configuration Parameters**:\n  - `exa/tavily/linkup_api_key`: API key for the respective service\n  - `max_results`: Number of results to return, default 5\n  - `image_filter`: Whether to enable image filtering, default True\n- **Search Parameters**:\n  - `query`: Required.\n- Image filtering: On by default to drop unrelated images; can be disabled to return raw image URLs.\n- Getting API Keys:\n  - Exa: Sign up at [exa.ai](https://exa.ai/) and create an EXA API Key in the console\n  - Tavily: Register at [tavily.com](https://www.tavily.com/) and get a Tavily API Key from the dashboard\n  - Linkup: Sign up at [linkup.so](https://www.linkup.so/) and create a Linkup API Key in your account\n- Returns title, URL, summary, and optional image URLs (deduped).\n\n## 🛠️ How to Use\n\n1. **Pick the source**: Use `knowledge_base_search`, `datamate_search`, or `dify_search` for private data; Exa/Tavily/Linkup for public info.\n2. **Tune mode/count**: Switch `search_mode` for KB; adjust `max_results` and image filtering for public search.\n3. **Scope**: Provide `index_names` for targeted KB search; tune `top_k` and `threshold` for DataMate precision.\n4. **Consume results**: JSON output is ready for answers or summarization, with citation indices for referencing.\n\n## 🛡️ Safety & Best Practices\n\n- Store API keys in the platform’s secure config, never in prompts.\n- Sync KB content before querying to avoid stale answers.\n- If queries are too broad, shorten or split them; if images are over-filtered, disable filtering to review raw URLs.\n"
  },
  {
    "path": "doc/docs/en/user-guide/local-tools/terminal-tool.md",
    "content": "# Terminal Tool User Manual\n\nThe Terminal tool is a powerful local tool provided by the Nexent platform that allows agents to execute shell commands on remote servers through SSH connections. The tool supports session management to maintain shell state between commands, uses password authentication for secure connections, and returns command output results. This manual will detail how to configure and use the Terminal tool.\n\n## 🖥️ SSH Server Setup\n\nThe Terminal tool supports two SSH server configuration methods:\n\n1. **Nexent Terminal Container**: Use the pre-configured SSH container provided by Nexent (recommended)\n2. **Third-party SSH Server**: Set up SSH service on existing servers\n\n### Method 1: Nexent Terminal Container Configuration\n\nNexent provides a pre-configured Terminal container with a complete SSH server environment and necessary tools, ready to use out of the box.\n\n#### 1. Image Deployment Methods\n\nNexent Terminal container supports two deployment methods:\n\n##### Method A: Deploy Script Auto-Deployment (Recommended)\n\n```bash\n# Use deploy script for automatic pull and deployment\n# Script automatically pulls nexent/nexent-ubuntu-terminal from Nexent Docker repository\n# Supports development, production, and cloud server deployment\n\n# Container configuration\nContainer name: nexent-openssh-server\nSSH port: 2222\nWorking directory: /opt/terminal\n```\n\n##### Method B: Local Image Build\n```bash\n# Build Ubuntu Terminal image locally\ndocker build --progress=plain -t nexent/nexent-ubuntu-terminal -f make/terminal/Dockerfile .\n```\n\n> 📚 **Detailed Build Instructions**: Refer to [Docker Build Guide](/en/deployment/docker-build) for complete image build and push processes.\n\n#### 2. Deploy Script Configuration\n\nWhen running the deployment script, choose to enable the Terminal tool container:\n\n```bash\n# Run deployment script\ncd docker\nbash deploy.sh\n\n# During script execution, select:\n# 1. Deployment mode: Choose development/production/infrastructure mode\n# 2. Terminal tool: Choose \"Y\" to enable Terminal tool container\n# 3. Configure SSH credentials: Enter username and password\n# 4. Configure mount directory: Specify host directory mapping\n```\n\n#### 3. Container Features\n\nThe Nexent Terminal container includes the following pre-installed tools:\n\n- **Basic Tools**: curl, wget, vim, git\n- **Python Environment**: Python3, pip, virtualenv, conda\n- **SSH Configuration**: Optimized timeout settings (60-minute sessions)\n\n#### 4. Verify Container Operation\n\n```bash\n# Check container status\ndocker ps | grep nexent-openssh-server\n\n# Test SSH connection\nssh -p 2222 root@localhost\n\n# View container logs\ndocker logs nexent-openssh-server\n```\n\n\n### Method 2: Third-party SSH Server Setup\n\nIf you need to set up SSH service on existing servers, you can use the following two methods:\n\n#### Method A: Container Deployment (Recommended)\n\n**Build and start container directly using Dockerfile**:\n\n##### 1. Create Dockerfile\n```dockerfile\nFROM ubuntu:24.04\n\n# Set environment variables to avoid interaction\nENV DEBIAN_FRONTEND=noninteractive\n\n# Install openssh-server and common tools\nRUN apt-get update && apt-get install -y \\\n    openssh-server \\\n    sudo \\\n    vim \\\n    bash \\\n    && rm -rf /var/lib/apt/lists/*\n\n# Create test user and set password\nRUN useradd -ms /bin/bash test \\\n    && echo 'test:test@123' | chpasswd \\\n    && usermod -aG sudo test\n\n# Set root user password\nRUN echo 'root:nexent@123' | chpasswd\n\n# Ensure SSH service directory exists\nRUN mkdir /var/run/sshd\n\n# Allow root user to login with password\nRUN sed -i 's/#PermitRootLogin prohibit-password/PermitRootLogin yes/' /etc/ssh/sshd_config \\\n    && sed -i 's/#PasswordAuthentication yes/PasswordAuthentication yes/' /etc/ssh/sshd_config\n\n# Run sshd when container starts\nCMD [\"/usr/sbin/sshd\", \"-D\"]\n```\n\n##### 2. Build and start container\n```bash\n# Build image\ndocker build -t nexent-terminal .\n\n# Start container\ndocker run -d --name nexent-terminal -p 2222:22 nexent-terminal\n```\n\n##### 3. Connection information\n- **SSH Address**: `localhost:2222`\n- **Username**: `test` or `root`\n- **Password**: `test@123` or `nexent@123`\n- **Container name**: `nexent-terminal`\n\n**Advantages**:\n- Custom Ubuntu 24.04 environment\n- Pre-installed common development tools\n- Supports multi-user access\n- Containerized isolation, secure and reliable\n\n#### Method B: Server Configuration\n\nInstall and configure SSH service directly on Linux servers:\n\n```bash\n# Ubuntu/Debian\nsudo apt update && sudo apt install openssh-server -y\nsudo systemctl start ssh && sudo systemctl enable ssh\n\n# CentOS/RHEL\nsudo yum install openssh-server -y\nsudo systemctl start sshd && sudo systemctl enable sshd\n\n# Configure SSH (edit /etc/ssh/sshd_config)\nsudo nano /etc/ssh/sshd_config\n# Ensure the following configuration:\n# PasswordAuthentication yes\n# Port 22\n# PermitRootLogin yes\n\n# Restart SSH service\nsudo systemctl restart ssh\n```\n\n**Advantages**:\n- Native performance, low resource usage\n- Complete control over SSH configuration\n- Suitable for long-term production use\n\n#### Selection Recommendations\n\n- **Development/Testing**: Recommend container deployment, quick and convenient\n- **Production Environment**: Recommend server configuration, better performance\n- **Temporary Use**: Recommend container deployment, delete after use\n\n\n## 🚀 Tool Features\n\nThe Terminal tool provides the following core features:\n\n### Basic Features\n\n- **Remote Command Execution**: Execute shell commands through SSH connections\n- **Session Management**: Support multiple sessions, maintain shell state\n- **Password Authentication**: Use passwords for SSH authentication\n- **Output Cleaning**: Automatically clean control characters and prompts from command output\n\n### Input Parameters\n\n- **command**: Shell command to execute (required)\n- **session_name**: Session name for connection reuse (optional, default \"default\")\n- **timeout**: Command timeout time in seconds (optional, default 30)\n\n### Output Format\n\nThe tool returns results in JSON format, including:\n\n- **command**: Executed command\n- **session_name**: Used session name\n- **output**: Command output results\n- **timestamp**: Execution timestamp\n- **error**: Error information (if execution fails)\n\n## ⚙️ Terminal Tool Configuration\n\n### Configure Terminal Tool in Nexent\n\n1. Log in to the Nexent platform\n2. Navigate to the **[Agent Development](../agent-development)** page\n3. Select the agent to configure\n4. Find \"Terminal Tool\" in the \"Select Agent Tools\" tab\n\n<div style=\"display: flex; justify-content: center;\">\n  <img src=\"./../assets/local-tools/terminal-tool.png\" style=\"width: 80%; height: auto;\" alt=\"Agent Tool Configuration Page\" />\n</div>\n\n#### Configure SSH Connection Parameters\n\nClick the configuration button for the Terminal tool and fill in the following parameters:\n\n**Basic Configuration**:\n- **ssh_host**: SSH server IP address or domain name (Nexent container defaults to nexent-openssh-server)\n- **ssh_port**: SSH service port (Nexent container defaults to 2222, third-party servers default to 22)\n- **ssh_user**: SSH login username\n- **password**: SSH login password\n- **init_path**: Initial working directory (defaults to ~)\n\n<div style=\"display: flex; justify-content: center;\">\n  <img src=\"./../assets/local-tools/terminal-tool-setting.png\" style=\"width: 80%; height: auto;\" alt=\"Terminal Tool Configuration Interface\" />\n</div>\n\n\n### Configuration Examples\n\n#### Example 1: Nexent Terminal Container Configuration\n\n```json\n{\n  \"ssh_host\": \"host.docker.internal\",\n  \"ssh_port\": 2222,\n  \"ssh_user\": \"root\",\n  \"password\": \"your-container-password\",\n  \"init_path\": \"/opt/terminal\"\n}\n```\n\n#### Example 2: Third-party SSH Server Configuration\n\n```json\n{\n  \"ssh_host\": \"192.168.1.100\",\n  \"ssh_port\": 22,\n  \"ssh_user\": \"nexent-user\",\n  \"password\": \"your-secure-password\",\n  \"init_path\": \"~\"\n}\n```\n\n\n## 🔧 Common Issues\n\n### Connection Issues\n\n#### Q1: What to do if SSH connection times out?\n\n**A1:** Check the following items:\n\n**Nexent Terminal Container**:\n\n- Whether the container is running normally\n- Whether port 2222 is occupied\n- Whether there are error messages in container logs\n\n```bash\n# Check container status\ndocker ps | grep nexent-openssh-server\n\n# Check port occupancy\nnetstat -tlnp | grep :2222\n\n# View container logs\ndocker logs nexent-openssh-server\n\n# Test container SSH connection\nssh -p 2222 root@localhost\n```\n\n**Third-party SSH Server**:\n\n- Whether network connection is normal\n- Whether the server SSH service is running\n- Whether firewall is blocking connection\n- Whether SSH port is correct\n\n```bash\n# Check SSH service status\nsudo systemctl status ssh\n\n# Check port listening\nsudo netstat -tlnp | grep :22\n\n# Test network connectivity\nping your-server-ip\ntelnet your-server-ip 22\n```\n\n#### Q2: How to resolve authentication failure?\n\n**A2:** Check password authentication:\n- **Username**: Confirm username is correct\n- **Password**: Confirm password is correct, note case sensitivity\n- **Server Status**: Confirm SSH service is running normally\n\n```bash\n# Test SSH connection\nssh -v username@server-ip\n\n# Check SSH service status\nsudo systemctl status ssh\n```\n\n### Permission Issues\n\n#### Q3: What to do if command execution has insufficient permissions?\n\n**A3:** Check user permissions:\n- Confirm user has permission to execute commands\n- Check sudo configuration\n- Verify file system permissions\n\n```bash\n# Check user groups\ngroups username\n\n# Check sudo permissions\nsudo -l\n\n# Check file permissions\nls -la /path/to/command\n```\n\n### Performance Issues\n\n#### Q4: What to do if command execution is very slow?\n\n**A4:** Optimization suggestions:\n- Check server performance\n- Adjust timeout settings\n- Optimize command execution method\n\n```bash\n# Check system load\ntop\nhtop\n\n# Check disk usage\ndf -h\niostat -x 1\n```\n\n### Security Issues\n\n#### Q5: What to do if Nexent Terminal container cannot start?\n\n**A5:** Check the following items:\n\n```bash\n# Check Docker service status\nsudo systemctl status docker\n\n# Check container configuration\ndocker-compose config\n\n# View detailed error logs\ndocker-compose logs nexent-openssh-server\n\n# Restart container\ndocker-compose restart nexent-openssh-server\n\n# Check environment variable configuration\ncat .env | grep -E \"(SSH_USERNAME|SSH_PASSWORD|TERMINAL_MOUNT_DIR)\"\n```\n\n**Common Solutions**:\n- Ensure Docker service is running normally\n- Check if port 2222 is occupied by other services\n- Verify environment variable configuration is correct\n- Check mount directory permissions\n\n#### Q6: How to improve SSH security?\n\n**A6:** Security hardening measures:\n\n**Nexent Terminal Container**:\n- Regularly update container images\n- Limit access permissions to mount directories\n- Monitor container resource usage\n- Regularly backup important data\n\n**Third-party SSH Server**:\n- Use strong passwords\n- Change default SSH port\n- Configure IP whitelist\n- Enable fail2ban protection\n\n```bash\n# Install fail2ban\nsudo apt install fail2ban -y\n\n# Configure fail2ban\nsudo nano /etc/fail2ban/jail.local\n\n# Add SSH protection configuration\n[sshd]\nenabled = true\nport = ssh\nfilter = sshd\nlogpath = /var/log/auth.log\nmaxretry = 3\nbantime = 3600\n```\n\nNeed help? Please open a thread in [GitHub Discussions](https://github.com/ModelEngine-Group/nexent/discussions).\n"
  },
  {
    "path": "doc/docs/en/user-guide/mcp-tools.md",
    "content": "# MCP Tools\n\nThe upcoming MCP Tools management module will let you centrally manage MCP servers and tools on a single page, easily completing connection configuration, tool synchronization, and health status monitoring.\n\n## 🎯 Feature Preview\n\n1. Register and manage multiple MCP servers\n2. Quickly sync, view, and organize MCP tool lists\n3. Monitor MCP connection status and usage in real time\n\n## ⏳ Stay Tuned\n\nThe MCP Tools management feature is under development. We are committed to building an efficient and intuitive management platform that enables you to:\n\n1. Centrally manage all MCP servers\n2. Conveniently sync and organize tools\n3. Monitor server connections and tool runtime status in real time\n\n## 🚀 Related Features\n\nWhile waiting for **MCP Tools** to launch, you can:\n\n1. Manage your MCP tools in **[Agent Development](./agent-development)**\n2. View agent and MCP collaboration relationships through **[Agent Space](./agent-space)**\n3. Experience platform features in **[Start Chat](./start-chat)**\n\nIf you encounter any issues during use, please refer to our **[FAQ](../quick-start/faq)** or ask for support in [GitHub Discussions](https://github.com/ModelEngine-Group/nexent/discussions).\n\n"
  },
  {
    "path": "doc/docs/en/user-guide/memory-management.md",
    "content": "# Memory Management\n\nNexent’s intelligent memory system gives agents persistent context. With multi-level memories, agents can remember key facts across conversations, retrieve them automatically, and deliver more personalized answers.\n\n## 🎯 What the Memory System Does\n\nThe memory system lets agents “remember” important information and reuse it later without you repeating yourself.\n\n### Core Benefits\n\n- **Cross-conversation memory** – Agents keep track of important facts from earlier chats.\n- **Automatic retrieval** – Relevant memories are pulled in automatically.\n- **Personalized service** – Responses adapt to user preferences and habits.\n- **Knowledge accumulation** – Agents keep getting smarter the more you use them.\n\n## ⚙️ System Configuration\n\n### Access Memory Management\n\n1. Click **Memory Management** in the left navigation.\n2. Open the **System Configuration** section.\n\n### Base Settings\n\n| Setting | Options | Default | Description |\n| --- | --- | --- | --- |\n| Memory Service Status | Enable / Disable | Enable | Controls whether the memory system runs. |\n| Agent Memory Sharing Strategy | Always Share / Ask Every Time / Never Share | Always Share | Defines if agents can share memories without user confirmation. |\n\n<div style=\"display: flex; justify-content: left;\">\n  <img src=\"./assets/memory-management/mem-config.png\" style=\"width: 80%; height: auto;\" alt=\"Memory configuration\" />\n</div>\n\n**Setting Tips**\n\n- **Memory service status** – Disable it if you want a completely stateless experience; enable it to unlock all memory features.\n- **Sharing strategy**\n  - *Always Share* – Agents exchange memories automatically.\n  - *Ask Every Time* – You approve each sharing request.\n  - *Never Share* – Agents stay isolated.\n\n## 📚 Memory Levels\n\nNexent uses four storage levels so you can keep global knowledge and private facts separate.\n\n### Tenant-Level\n\n- **Scope:** Entire organization, shared by all users and agents.\n- **Stores:** SOPs, compliance policies, org charts, long-term facts.\n- **Best for:** Company-wide knowledge and governance.\n- **Managed by:** Tenant administrators.\n\n### Agent-Level\n\n- **Scope:** A specific agent, shared by everyone using it.\n- **Stores:** Domain knowledge, skill templates, historical summaries.\n- **Best for:** Letting an agent accumulate expertise over time.\n- **Managed by:** Tenant administrators.\n\n### User-Level\n\n- **Scope:** A single user account.\n- **Stores:** Personal preferences, habits, favorite commands, personal info.\n- **Best for:** Tailoring the platform to a specific user.\n- **Managed by:** That user.\n\n### User-Agent Level\n\n- **Scope:** A specific agent used by a specific user (most granular).\n- **Stores:** Collaboration history, personal facts, task context.\n- **Best for:** Deep personalization and long-running projects.\n- **Managed by:** That user.\n\n### Retrieval Priority\n\nWhen an agent retrieves memory it follows this order (high ➝ low):\n\n1. Tenant Level – shared facts and policies.\n2. User-Agent Level – very specific context for that pairing.\n3. User Level – general personal preferences.\n4. Agent Level – the agent’s professional knowledge.\n\n## 🤖 Automated Memory Management\n\nThe system takes care of most work for you:\n\n- **Smart extraction:** Detects key facts in conversations, creates memory entries automatically, and stores them at the right level—no manual input needed.\n- **Automatic context embedding:** Retrieves the most relevant memories and implicitly injects them into the conversation context so agents respond with better accuracy.\n- **Incremental updates:** Gradually refreshes or removes outdated memories to keep the store clean, timely, and reliable.\n\n## ✋ Manual Memory Operations\n\nNeed full control? Manage entries manually.\n\n### Add a Memory\n\n1. Choose the level (tenant / agent / user / user-agent) and target agent.\n2. Click the green **+** button.\n3. Enter up to 500 characters describing the fact.\n4. Click the check mark to save.\n\n<div style=\"display: flex; justify-content: left;\">\n  <img src=\"./assets/memory-management/add-mem.png\" style=\"width: 80%; height: auto;\" alt=\"Add memory\" />\n</div>\n\n### Delete Memories\n\n- **Delete group:** Click the red ✕ icon to remove every entry under that agent group (confirm in the dialog).\n- **Delete single entry:** Click the red eraser icon to remove one entry.\n\n<div style=\"display: flex; justify-content: left;\">\n  <img src=\"./assets/memory-management/delete-mem.png\" style=\"width: 80%; height: auto;\" alt=\"Delete memory\" />\n</div>\n\n## 💡 Usage Tips\n\n### Memory Content Guidelines\n\n1. **Keep entries atomic:** Each memory should contain *one* clear fact.\n   - ✅ Good: “The user prefers dark mode.”\n   - ❌ Not good: “The user prefers dark mode, works nights, and loves coffee.”\n2. **Maintain freshness:** Review and remove outdated entries regularly.\n3. **Protect privacy:** Store sensitive info at the user or user-agent level instead of tenant level.\n\n### Best Practices\n\n- Pick the memory level that matches the sharing needs.\n- Let automation handle routine facts; manually add critical knowledge.\n- Review the memory list periodically to keep everything relevant.\n- Keep personal or sensitive data scoped tightly to the right user.\n\n## 🚀 Next Steps\n\nWith memory configured you can:\n\n1. Experience the new continuity in **[Start Chat](./start-chat)**.\n2. Manage all agents in **[Agent Space](./agent-space)**.\n3. Build more agents inside **[Agent Development](./agent-development)**.\n\nNeed help? Check the **[FAQ](../quick-start/faq)** or open a thread in [GitHub Discussions](https://github.com/ModelEngine-Group/nexent/discussions)."
  },
  {
    "path": "doc/docs/en/user-guide/model-management.md",
    "content": "# Model Management\n\nIn the Model Management module, you can configure your app’s basic information and connect every model the platform needs, including large language models, embedding models, and vision-language models. Nexent supports multiple providers so you can pick the best option for each scenario.\n\n## 🖼️ App Configuration\n\nApp configuration is the first step of model management. Configure the icon, name, and description so users can instantly recognize the app and the platform can pass the proper context to models.\n\n- The icon and name appear in the upper-left corner of the chat page.\n- The description is used as background information when generating agents to improve the model’s understanding of your use case.\n\n### App Icon Configuration\n\nClick the app icon to open the configuration panel. Nexent provides two options:\n\n- **Use a preset icon**: Pick an icon from the built-in gallery and optionally change the background color for fast setup.\n- **Upload a custom image**: Supports PNG and JPG (≤2 MB).\n\n<div style=\"display: flex; gap: 8px;\">\n  <img src=\"./assets/model-management/predefined-app-icon-setting.png\" style=\"width: 50%; height: 100%;\" />\n  <img src=\"./assets/model-management/customized-app-icon-setting.png\" style=\"width: 50%; height: 80%;\" />\n</div>\n\n### App Name & Description\n\n#### App Name\n\n- Displayed on the chat page, helping users recognize the current app.\n- Keep it short, descriptive, and free of special characters.\n\n#### App Description\n\n- Passed to the model as background context.\n- Highlight the core capabilities and keep the text fluent and concise.\n\n<div style=\"display: flex; justify-content: left;\">\n  <img src=\"./assets/model-management/app-name-description-setting.png\" style=\"width: 50%; height: auto;\" />\n</div>\n\n## 🤖 Model Configuration\n\n### 🔄 Sync ModelEngine Models\n\nNexent supports seamless integration with the ModelEngine platform.\n\n👉 Click **Edit ModelEngine Configuration** in the upper right corner of the page, enter your API key, and you can retrieve all models deployed on ModelEngine.\n\n### 🛠️ Add Custom Models\n\n#### Add a Single Model\n\n1. **Add a custom model**\n   - Click **Add Custom Model** to open the dialog.\n2. **Select model type**\n   - Choose Large Language Model, Embedding Model, or Vision Language Model.\n3. **Configure model parameters**\n   - **Model Name (required):** The name you send in API requests.\n   - **Display Name:** Optional label shown in the UI (defaults to the model name).\n   - **Model URL (required):** API endpoint from the provider.\n   - **API Key:** Your provider key.\n\n> ⚠️ **Notes**\n> 1. Model names usually follow `series/model`. Example: `Qwen/Qwen3-8B`.\n> 2. API endpoints come from the provider docs. For SiliconFlow, examples include `https://api.siliconflow.cn/v1` (LLM, VLM) and `https://api.siliconflow.cn/v1/embeddings` (embedding).\n> 3. Generate API keys from the provider’s key management console.\n\n4. **Connectivity verification**\n   - Click **Verify** to send a test request and confirm connectivity.\n5. **Save model**\n   - Click **Add** to place the model in the available list.\n\n<div style=\"display: flex; justify-content: left;\">\n  <img src=\"./assets/model-management/add-model.png\" style=\"width: 50%; height: auto;\" />\n</div>\n\n#### Batch Add Models\n\nUse batch import to speed up onboarding:\n\n1. Enable the **Batch Add Models** toggle in the dialog.\n2. Select a **model provider**.\n3. Choose the **model type** (LLM/Embedding/Vision).\n4. Enter the **API Key** (required).\n5. Click **Fetch Models** to retrieve the provider list.\n6. Toggle on the models you need (disabled by default).\n7. Click **Add** to save every selected model at once.\n\n<div style=\"display: flex; justify-content: left;\">\n  <img src=\"./assets/model-management/add-model-batch.png\" style=\"width: 50%; height: auto;\" />\n</div>\n\n### 🔧 Edit Custom Models\n\nModify or delete models anytime:\n\n1. Click **Edit Custom Models**.\n2. Select the model type (LLM/Embedding/Vision).\n3. Choose between batch editing or single-model editing.\n4. For batch edits, toggle models on/off or click **Edit Config** in the upper-right to change settings in bulk.\n5. For single models, click the trash icon 🗑️ to delete, or click the model name to open the edit dialog.\n\n<div style=\"display: flex; gap: 8px;\">\n  <img src=\"./assets/model-management/edit-model-1.png\" style=\"width: 50%; height: 100%;\" />\n  <img src=\"./assets/model-management/edit-model-2.png\" style=\"width: 50%; height: 80%;\" />\n</div>\n<br>\n<div style=\"display: flex; gap: 8px;\">\n  <img src=\"./assets/model-management/edit-model-3.png\" style=\"width: 50%; height: 100%;\" />\n  <img src=\"./assets/model-management/edit-model-4.png\" style=\"width: 50%; height: 80%;\" />\n</div>\n<br>\n<div style=\"display: flex; gap: 8px;\">\n  <img src=\"./assets/model-management/edit-model-5.png\" style=\"width: 50%; height: 100%;\" />\n  <img src=\"./assets/model-management/edit-model-6.png\" style=\"width: 50%; height: 80%;\" />\n</div>\n\n### ⚙️ Configure System Models\n\nAfter adding models, assign the platform-level defaults. These models handle system tasks such as title generation, real-time file reading, and multimodal parsing. Individual agents can still choose their own run-time models.\n\n#### Base Model\n\n- Used for core platform features (title generation, real-time file access, basic text processing).\n- Choose any added large language model from the dropdown.\n\n#### Embedding Model\n\nEmbedding models are primarily used for vectorization processing of text, images, and other data in knowledge bases, forming the foundation for efficient retrieval and semantic understanding. Configuring an appropriate embedding model can significantly improve knowledge base search accuracy and multimodal data processing capabilities.\n\n- Click the embedding model dropdown to select one from the added embedding models.\n- Embedding model configuration affects the stable operation of knowledge bases.\n\nChoose appropriate document chunk size and chunks per request based on model capabilities. Smaller chunks provide more stability, but may affect file parsing quality.\n\n<div style=\"display: flex; gap: 8px;\">\n  <img src=\"./assets/model-management/vector-model.png\" style=\"width: 50%; height: 50%;\" />\n</div>\n\n#### Vision-Language Model\n\n- Required for multimodal chat scenarios (for example, when users upload images).\n- Pick one of the added vision-language models.\n\n<div style=\"display: flex; gap: 8px;\">\n  <img src=\"./assets/model-management/select-model-1.png\" style=\"width: 30%; height: 100%;\" />\n  <img src=\"./assets/model-management/select-model-2.png\" style=\"width: 30%; height: 100%;\" />\n  <img src=\"./assets/model-management/select-model-3.png\" style=\"width: 30%; height: 100%;\" />\n</div>\n\n### ✅ Check Model Connectivity\n\nRun regular connectivity checks to keep the platform healthy:\n\n1. Click **Check Model Connectivity**.\n2. Nexent tests every configured system model automatically.\n\nStatus indicators:\n\n- 🔵 **Blue dot** – Checking in progress.\n- 🔴 **Red dot** – Connection failed; review configuration or network.\n- 🟢 **Green dot** – Connection is healthy.\n\nTroubleshooting tips:\n\n- Confirm network stability.\n- Ensure the API key is valid and not expired.\n- Check the provider’s service status.\n- Review firewall and security policies.\n\n### 🤖 Supported Providers\n\n#### Large Language Models\n\nNexent supports any **OpenAI-compatible** provider, including:\n\n- [SiliconFlow](https://siliconflow.cn/)\n- [Ali Bailian](https://bailian.console.aliyun.com/)\n- [TokenPony](https://www.tokenpony.cn/)\n- [DeepSeek](https://platform.deepseek.com/)\n- [OpenAI](https://platform.openai.com/)\n- [Anthropic](https://console.anthropic.com/)\n- [Moonshot](https://platform.moonshot.cn/)\n\nGetting started:\n\n1. Sign up at the provider’s portal.\n2. Create and copy an API key.\n3. Locate the API endpoint (usually ending with `/v1`).\n4. Click **Add Custom Model** in Nexent and fill in the required fields.\n\n#### Multimodal Vision Models\n\nUse the same API key and URL as LLMs but specify a multimodal model name, for example **Qwen/Qwen2.5-VL-32B-Instruct** on SiliconFlow.\n\n#### Embedding Models\n\nUse the same API key as LLMs but typically a different endpoint (often `/v1/embeddings`), for example **BAAI/bge-m3** from SiliconFlow.\n\n#### Speech Models\n\nCurrently only **VolcEngine Voice** is supported and must be configured via `.env`:\n\n- **Website:** [volcengine.com/product/voice-tech](https://www.volcengine.com/product/voice-tech)\n- **Free tier:** Available for individual use\n- **Highlights:** High-quality Chinese/English TTS\n\nSteps:\n\n1. Register a VolcEngine account.\n2. Enable the Voice Technology service.\n3. Create an app and generate an API key.\n4. Configure the TTS/STT settings in your environment.\n\n## 💡 Need Help\n\nIf you run into provider issues:\n\n1. Review the provider’s documentation.\n2. Check API key permissions and quotas.\n3. Test with the provider’s official samples.\n4. Ask the community in our [Discord server](https://discord.gg/tb5H3S3wyv).\n\n## 🚀 Next Steps\n\nAfter closing the Model Management flow, continue with:\n\n1. **[Knowledge Base](./knowledge-base)** – Create and manage knowledge bases.\n2. **[Agent Development](./agent-development)** – Build and configure agents.\n\nNeed help? Check the **[FAQ](../quick-start/faq)** or open a thread in [GitHub Discussions](https://github.com/ModelEngine-Group/nexent/discussions).\n"
  },
  {
    "path": "doc/docs/en/user-guide/monitor.md",
    "content": "# Monitoring & Operations\n\nThe upcoming Monitoring & Operations Center will provide a unified management platform for agents, allowing you to track health status, performance metrics, and exception events in real time.\n\n## 🎯 Feature Preview\n\n1. Monitor agent health status, latency, and error rates in real time\n2. View and filter runtime logs and historical tasks\n3. Configure alert policies and operational actions for key events\n\n## ⏳ Stay Tuned\n\nThe Monitoring & Operations Center is under development. We are committed to building an intuitive and efficient management platform that helps you:\n\n1. Fully understand agent runtime status\n2. Quickly discover and handle exceptions\n3. Flexibly configure alerts and operational actions\n\nIf you encounter any issues during use, please refer to our **[FAQ](../quick-start/faq)** or ask for support in [GitHub Discussions](https://github.com/ModelEngine-Group/nexent/discussions).\n\n"
  },
  {
    "path": "doc/docs/en/user-guide/quick-setup.md",
    "content": "# Quick Setup\n\nQuick Setup provides a guided path that walks you through the recommended setup order. Follow the three steps—model management, knowledge bases, and agent development—to get the platform ready fast.\n\n## 📋 Configuration Flow\n\nQuick Setup is organized in the following order:\n\n### Step 1: Model Management\n\nConfigure basic app information and connect AI models:\n\n- **App configuration:** Set the icon, name, and description.\n- **Model configuration:** Add large language models, embedding models, and vision-language models.\n\nLearn more: [Model Management](./model-management)\n\n### Step 2: Knowledge Base\n\nCreate knowledge bases and upload documents:\n\n- **Create a knowledge base:** Give agents a place to search.\n- **Upload files:** Support for multiple file formats.\n- **Generate summaries:** Create concise knowledge-base descriptions.\n\nLearn more: [Knowledge Base](./knowledge-base)\n\n### Step 3: Agent Development\n\nCreate and configure agents:\n\n- **Create an agent:** Start from scratch or import an existing configuration.\n- **Configure capabilities:** Add collaborative agents and tools.\n- **Describe logic:** Tell Nexent how the agent should work.\n\nPublish agent:\n\n- **Publish agent:** Published agents will be visible to selected user groups and listed in Agent Space and the Start Chat selection box.\n- **Version management:** Track iteration history of agents, support viewing, rolling back to historical versions, and creating new versions.\n\nLearn more: [Agent Development](./agent-development)\n\n## 🎯 Tips\n\n1. **Follow the order:** Completing each step in sequence guarantees every dependency is ready.\n2. **Save progress:** Click save after finishing each step.\n3. **Enable knowledge search:** Add the `knowledge_base_search` tool when you want agents to use local knowledge.\n4. **Test early:** After setup, run a few conversations on the chat page to confirm everything works.\n\n## 🚀 Next Steps\n\nAfter finishing Quick Setup:\n\n1. Visit **[Agent Space](./agent-space)** to review and manage agents.\n2. Use **[Start Chat](./start-chat)** to talk to your agents.\n3. Configure **[Memory Management](./memory-management)** to give agents persistent memory.\n\nNeed help? Check the **[FAQ](../quick-start/faq)** or open a thread in [GitHub Discussions](https://github.com/ModelEngine-Group/nexent/discussions)."
  },
  {
    "path": "doc/docs/en/user-guide/start-chat.md",
    "content": "# Start Chat\n\nThe Start Chat is the core area for interacting with your agents. Here, you can talk to different agents, upload files, use voice input, and manage your chat history.\n\n## 🤖 Start Chatting\n\n### Select an Agent\n\nBefore starting a chat, you need to select an agent.\n\n1. **View Available Agents**\n   - Find the agent selection dropdown in the lower left corner of the chat box\n   - Click the dropdown to view all available agents\n   - Each agent displays its name and description\n\n2. **Switch Agents**\n   - Select the agent you want to chat with from the list\n   - The system will automatically switch to the selected agent\n   - You can start a new chat after switching\n\n<div style=\"display: flex; justify-content: center;\">\n  <img src=\"./assets/start-chat/agent-selection.png\" style=\"width: 80%; height: auto;\" alt=\"Select Agent\" />\n</div>\n\n### Send Text Messages\n\nAfter selecting an agent, you can send text messages in the following ways:\n\n1. **Enter your question**\n   - Type your question or command in the input box at the bottom\n   - Press `Shift+Enter` to insert a line break\n\n2. **Send Message**\n   - Click the send button on the right side of the input box\n   - Or press `Enter` on your keyboard\n   - The agent will start processing your request and generate a reply\n\n3. **View Replies**\n   - The agent’s reply will be displayed in real time in the chat area\n   - The reasoning process will be shown as cards for easy distinction\n\n<div style=\"display: flex; justify-content: center;\">\n  <img src=\"./assets/start-chat/dialog-box.png\" style=\"width: 80%; height: auto;\" alt=\"Select Agent\" />\n</div>\n\n### Use Voice Input\n\nNexent supports voice input (make sure you have configured the speech model under [Model Management](./model-management) beforehand) so you can interact by speaking:\n\n1. **Enable Voice Input**\n   - Find the microphone icon in the lower right corner of the input box\n   - Click the microphone icon to enable voice input\n   - The first time you use it, you’ll be asked for microphone permission—please click \"Allow\"\n\n2. **Start Speech Recognition**\n   - After granting permission, the microphone icon will change to recording mode\n   - Speak your question or command clearly\n   - The system will convert your speech to text in real time and display it in the input box\n\n3. **Complete Voice Input**\n   - After speech recognition is complete, the system will automatically send the message\n   - You can also manually edit the recognized text before sending\n   - Both Chinese and English speech recognition are supported\n\n> 💡 **Tip:** For better recognition results, use it in a quiet environment and articulate clearly.\n\n### Upload Files for Chat\n\nYou can upload files during a chat so the agent can reason over their content:\n\n> ⚠️ **Important:**\n> 1. Multimodal file conversations require the agent to have the corresponding parsing tools enabled during agent development. \n>    2. For document or text files select the `analyze_text_file` tool.\n>    3. For image files select the `analyze_image` tool.\n> 2. Each uploaded file should ideally be under 10 MB. Split large documents into multiple uploads.\n\n1. **Choose a File Upload Method**\n   - Click the file upload button in the lower right corner of the input box\n   - Or drag files directly into the chat area\n\n2. **Supported File Formats**\n   - **Documents:** PDF, Word (.docx), PowerPoint (.pptx), Excel (.xlsx)\n   - **Text:** Markdown (.md), Plain text (.txt)\n   - **Images:** JPG, PNG, GIF, and other common formats\n\n3. **File Processing Flow**\n   - The platform stores the uploaded file in MinIO and returns an S3 URL\n   - It builds structured file metadata and injects it into the active conversation\n   - The agent then answers your questions based on both the prompt and file metadata\n\n4. **File-based Chat**\n   - After uploading a file, ask questions about its contents at any time\n   - The agent can call the relevant multimodal tools to analyze, summarize, or process the data\n   - Multiple files can be uploaded and processed simultaneously\n\n## 📚 Manage Your Chat History\n\nThe left sidebar provides complete chat history management:\n\n### Create a New Chat\n\n- Click the \"New Conversation\" button in the upper left corner to start a brand new conversation\n- The new chat will use the currently selected agent by default, but you can change it\n\n### View Chat List\n\n- **Chat Titles:** The system automatically generates titles based on chat content, which you can edit at any time\n- **Time Sorting:** Chats are sorted by time, showing \"Today\" and \"Last 7 Days\" records\n- **Continue Chat:** Click any chat in history to view details and continue the conversation\n\n### Manage Chat Records\n\n1. **Edit Chat**\n   - Hover over a chat title to see the \"...\" button on the right, click to edit\n2. **Rename Chat**\n   - Click \"Rename\" to change the chat title, press Enter to confirm\n3. **Delete Chat**\n   - In edit mode, you can delete unnecessary chats\n   - Deletion is irreversible, please operate with caution\n\n> 💡 **Tip:** Regularly cleaning up unnecessary chat records keeps the interface tidy and improves search efficiency.\n\n<div style=\"display: flex; justify-content: space-between;\">\n  <img src=\"./assets/start-chat/chat-management-1.png\" style=\"width: 48%; height: auto;\" alt=\"Chat Edit\" />\n  <img src=\"./assets/start-chat/chat-management-2.png\" style=\"width: 48%; height: auto;\" alt=\"Chat Edit\" />\n</div>\n\n### Access Other Modules\n\nUse the left navigation bar to jump to other modules at any time:\n\n- **Agent Space** – Review and manage all agents you have built.\n- **Agent Studio** – Continue creating or editing agents.\n- **Model Management** – Update app information and model credentials.\n- **Knowledge Base** – Upload, summarize, and organize documents.\n- **Memory Management** – Configure multi-layer memory and sharing rules.\n\n## 🔍 View Knowledge References\n\nThe right sidebar provides two tabs: \"Source\" and \"Images\" to help you understand the sources of agent responses:\n\n### References Tab\n\n- Shows the knowledge sources cited by the agent’s reply\n- Displays text block titles and source file names\n- Click \"Expand\" to view the full content of the text block\n- Helps you understand what information the agent retrieved from your local knowledge base\n\n- **Network Search Results**\n  - Shows webpage titles and source URLs\n  - Click \"Expand\" to view detailed content\n  - Click the webpage title to jump directly to the original page\n\n### Images Tab\n\n- Displays related images retrieved from network search\n- Click any image to preview\n- Helps you visually understand relevant information\n\n<div style=\"display: flex; justify-content: space-between;\">\n  <img src=\"./assets/start-chat/reference-source.png\" style=\"width: 48%; height: auto;\" alt=\"Reference Source\" />\n  <img src=\"./assets/start-chat/reference-image.png\" style=\"width: 48%; height: auto;\" alt=\"Reference Image\" />\n</div>\n\n## 🎭 Multimodal Interaction Experience\n\n### Image Processing\n\nNexent supports image input and processing (make sure a vision model **and** the `analyze_image` tool are configured):\n\n1. **Upload Images**\n   - Drag image files directly into the chat area\n   - Or click the upload button to select image files\n   - Supports common formats (JPG, PNG, GIF, etc.)\n\n2. **Image Analysis**\n   - The agent will automatically analyze image content\n   - It can recognize objects, text, scenes, etc. in images\n   - Answers your questions based on image content\n\n> 💡 **Tip:** Nexent will soon support richer multimodal interaction modes, including video processing, audio analysis, and more. Stay tuned!\n\n## ⚙️ Backend Operation Mode\n\n### Multitasking\n\nNexent supports backend operation mode, making you more efficient when handling complex tasks:\n\n1. **Parallel Tasks**\n   - During a chat, you can switch to other windows or applications\n   - The agent will continue processing your tasks in the background\n   - Processing will not be interrupted by window switching\n\n2. **Real-time Status Monitoring**\n   - Each chat in the left sidebar has a status indicator\n   - 🟢 **Green dot:** Chat in progress\n   - 🔵 **Blue dot:** Chat completed\n   - Click any chat to view processing progress\n\n3. **Improve Work Efficiency**\n   - Backend operation mode greatly improves your work efficiency\n   - You can do other work while waiting for the agent to process\n   - Especially suitable for long analysis or generation tasks\n\n## 🚀 Start Your Nexent Journey\n\nCongratulations! You now master all the core features of Nexent. We look forward to seeing you create amazing applications with Nexent!\n\n### Get Help\n\nNeed help? Check the **[FAQ](../quick-start/faq)** or open a thread in [GitHub Discussions](https://github.com/ModelEngine-Group/nexent/discussions)."
  },
  {
    "path": "doc/docs/en/user-guide/user-management.md",
    "content": "# User Management\n\nThis page provides a detailed explanation of the Nexent platform's user role system, data visibility scope, operation permissions for various resources, and practical examples of permission configuration.\n\n⚠️ **Important Note**: When deploying v1.8.0 or later for the first time, please pay special attention to the `suadmin` super administrator account information output in the Docker logs. This account has the highest system privileges, and the password is only displayed upon first generation. It cannot be viewed again later, so please be sure to save it securely.\n\n## 📋 Page Navigation\n\n- [I. Role System](#i-role-system) - Definitions and responsibilities of four core roles\n- [II. Tab Access Permissions](#ii-tab-access-permissions) - System pages accessible to each role\n- [III. Resource Permission Comparison](#iii-resource-permission-comparison) - Detailed operation permissions for various resources\n- [IV. Permission Configuration](#iv-permission-configuration) - Permission management for agents and knowledge bases\n- [V. Invitation Code Mechanism](#v-invitation-code-mechanism) - User registration and invitation process\n- [VI. Practical Examples](#vi-practical-examples) - Recommendations for permission configuration\n\n## I. Role System\n\nNexent adopts a Role-Based Access Control (RBAC) model, dividing user scope through the concepts of tenants and user groups:\n\n### 1.1 What is a Tenant?\n\n- A **Tenant** is the top-level resource isolation unit in the Nexent platform, which can be understood as an independent workspace or organizational unit\n\n- Data between different tenants is completely isolated and invisible to each other. Each tenant can independently create agents, knowledge bases, models, MCPs, etc.\n\n- Only the Super Administrator can manage permissions across tenants and invite tenant administrators\n\n### 1.2 What is a User Group?\n\n- A **User Group** is a collection of users within a tenant. User management and permission control can be achieved through user group division\n- A user can belong to multiple user groups\n- The visibility of resources such as knowledge bases and agents within a tenant is controlled through user groups\n\n![Tenant and User Group Relationship](./assets/user-management/tenant-usergroup.png)\n\n### 1.3 User Roles\n\nIncludes the following four core roles:\n\n| Role | Responsibility Description | Applicable Scenarios | Role Notes |\n| ---- | -------------------------- | -------------------- | ---------- |\n| **Super Administrator** | Can create **different tenants** and manage all tenant resources | Platform operation and maintenance personnel | There is only one Super Administrator in the Nexent system. Account credentials are generated during local deployment. Please keep them safe as they cannot be retrieved after logs are cleared |\n| **Administrator** | Responsible for **intra-tenant** resource management and permission allocation | Department managers, tenant leaders | A tenant can have multiple administrators, who can only be invited by the Super Administrator |\n| **Developer** | Can create and edit agents, knowledge bases, and other resources, but has no management permissions | Developers, product managers | A tenant can have multiple developers who can belong to multiple user groups within the tenant, invited by administrators and the Super Administrator |\n| **Regular User** | Can only use platform features without creation and editing permissions | Employees, business personnel | A tenant can have multiple regular users who can belong to multiple user groups within the tenant, invited by administrators and the Super Administrator |\n\n#### 1.3.1 Super Administrator\n\nThe Super Administrator is responsible for the overall operation and maintenance of the platform. They can create tenants and participate in user permission management within each tenant, but cannot use agents.\n\n- ✅ Can manage personnel and permissions for all tenants\n- ✅ Can view platform-wide monitoring and operation data\n- ❌ Cannot directly view specific business data (such as agent conversation content, knowledge base documents, etc.)\n- ❌ Cannot create and use agents, knowledge bases, etc.\n\n#### 1.3.2 Administrator\n\nThe Administrator is the highest permission role within a tenant, responsible for resource management and user management within the tenant, with full platform functionality.\n\n- ✅ Can manage all users and user groups within the tenant\n- ✅ Can view and edit all agents, knowledge bases, and MCPs within the tenant\n- ❌ Cannot access data from other tenants\n\n#### 1.3.3 Developer\n\nThe Developer is a technical role within a tenant, responsible for creating and optimizing technical resources such as agents and knowledge bases.\n\n- ✅ Can create agents and knowledge bases and set permissions\n- ⚠️ For resources created by others, authorization is required to edit\n- ❌ Cannot manage users and user groups within the tenant\n\n#### 1.3.4 Regular User\n\nRegular Users only have permission to use agents for conversations.\n\n- ✅ Can use authorized agents for conversations\n- ✅ Can view their own usage records and personal information\n- ❌ Cannot create or edit agents, knowledge bases\n\n\n\n## II. Tab Access Permissions\n\n| Tab | Super Administrator | Administrator | Developer | Regular User |\n| --- | :-----------------: | :-----------: | :-------: | :----------: |\n| **Home** | ✅ | ✅ | ✅ | ✅ |\n| **Start Chat** | ❌ | ✅ | ✅ | ✅ |\n| **Quick Setup** | ❌ | ✅ | ✅ | ✅ |\n| **Agent Space** | ❌ | ✅ | ✅ | ❌ |\n| **Agent Market** | ❌ | ✅ | ✅ | ❌ |\n| **Agent Development** | ❌ | ✅ | ✅ | ❌ |\n| **Knowledge Base** | ❌ | ✅ | ✅ | ❌ |\n| **MCP Tools** | ❌ | ✅ | ✅ | ❌ |\n| **Monitoring** | ✅ | ✅ | ✅ | ❌ |\n| **Model Management** | ❌ | ✅ | ✅ | ❌ |\n| **Memory Management** | ❌ | ✅ | ✅ | ✅ |\n| **Personal Information** | ❌ | ✅ | ✅ | ✅ |\n| **Tenant Resources** | ✅ | ✅ | ❌ | ❌ |\n\n\n## III. Resource Permission Comparison\n\nThe following tables show the operation permissions of four roles for various types of resources. Among them:\n\n- **Super Administrator**: Can manage resources for all tenants (cross-tenant)\n- **Administrator/Developer/Regular User**: Can only operate resources within their own tenant\n\n### 3.1 User and User Group Permissions\n\n| Operation | Super Administrator | Administrator | Developer | Regular User |\n| --------- | :-----------------: | :-----------: | :-------: | :----------: |\n| **View Tenant List** | ✅ | ❌ | ❌ | ❌ |\n| **Create/Delete Tenant** | ✅ | ❌ | ❌ | ❌ |\n| **View User List** | ✅ | ✅ | ❌ | ❌ |\n| **Edit User Permissions** | ✅ | ✅ | ❌ | ❌ |\n| **Delete User** | ✅ | ✅ | ❌ | ❌ |\n| **Assign User Group** | ✅ | ✅ | ❌ | ❌ |\n| **View User Group List** | ✅ | ✅ | ❌ | ❌ |\n| **Create User Group** | ✅ | ✅ | ❌ | ❌ |\n| **Edit User Group** | ✅ | ✅ | ❌ | ❌ |\n| **Delete User Group** | ✅ | ✅ | ❌ | ❌ |\n\n### 3.2 Model Permissions\n\n| Operation | Super Administrator | Administrator | Developer | Regular User |\n| --------- | :-----------------: | :-----------: | :-------: | :----------: |\n| **View Model List** | ✅ | ✅ | ✅ | ❌ |\n| **Add Model** | ✅ | ✅ | ❌ | ❌ |\n| **Edit Model** | ✅ | ✅ | ❌ | ❌ |\n| **Delete Model** | ✅ | ✅ | ❌ | ❌ |\n| **Test Connectivity** | ✅ | ✅ | ✅ | ❌ |\n| **Use Model** | ❌ | ✅ | ✅ | ✅ |\n\n> 💡 **Note**: Models are tenant-level shared resources. All user groups within the same tenant share the same model pool, with no group-level isolation. Administrators uniformly manage model configurations, while developers and regular users can only use configured models.\n\n### 3.3 Knowledge Base Permissions\n\n| Operation | Super Administrator | Administrator | Developer | Regular User |\n| --------- | :-----------------: | :-----------: | :-------: | :----------: |\n| **View Knowledge Base List** | ✅ | ✅ | 🟡 Self-created/Authorized | ❌ |\n| **View Knowledge Base Details** | ❌ | ✅ | 🟡 Self-created/Authorized | ❌ |\n| **View Knowledge Base Summary** | ✅ | ✅ | 🟡 Self-created/Authorized | ❌ |\n| **Create Knowledge Base** | ❌ | ✅ | ✅ | ❌ |\n| **Edit Knowledge Base Name and Permissions** | ✅ | ✅ | 🟡 Self-created/Authorized | ❌ |\n| **Edit Knowledge Base Chunks and Summary** | ❌ | ✅ | 🟡 Self-created/Authorized | ❌ |\n| **Delete Knowledge Base** | ✅ | ✅ | 🟡 Self-created/Authorized | ❌ |\n| **Upload/Delete Files** | ❌ | ✅ | 🟡 Self-created/Authorized | ❌ |\n\n### 3.4 Agent Permissions\n\n| Operation | Super Administrator | Administrator | Developer | Regular User |\n| --------- | :-----------------: | :-----------: | :-------: | :----------: |\n| **View Agent List** | ✅ | ✅ | 🟡 Self-created/Authorized | 🟡 Authorized Published Agents |\n| **View Agent Info** | ✅ | ✅ | 🟡 Self-created/Authorized | ❌ |\n| **Edit Agent Config** | ❌ | ✅ | 🟡 Self-created/Authorized | ❌ |\n| **Manage Agent Versions** | ✅ | ✅ | 🟡 Self-created/Authorized | ❌ |\n| **Delete Agent** | ✅ | ✅ | 🟡 Self-created/Authorized | ❌ |\n| **Use Agent Chat** | ❌ | ✅ | 🟡 Self-created/Authorized | 🟡 Authorized Published Agents |\n\n### 3.5 MCP Permissions\n\n| Operation | Super Administrator | Administrator | Developer | Regular User |\n| --------- | :-----------------: | :-----------: | :-------: | :----------: |\n| **View MCP Tools** | ✅ | ✅ | ✅ | ❌ |\n| **Edit MCP Tools** | ✅ | ✅ | ❌ | ❌ |\n| **Add MCP Tools** | ✅ | ✅ | ✅ | ❌ |\n| **Delete MCP Tools** | ✅ | ✅ | ❌ | ❌ |\n\n> 💡 **Note**: MCP tools are tenant-level shared resources. All user groups within the same tenant share the same MCP tools, with no group-level isolation. Administrators can add and manage MCP tools, while developers can only add MCP tools.\n\n\n## IV. Permission Configuration\n\n### 4.1 Agent Permission Settings\n\n| Permission Level | Description | Applicable Scenario |\n| ---------------- | ----------- | ------------------- |\n| **Creator Only** | Only the creator (and administrators) can view and edit | Personal development agents |\n| **Specified User Group - Read Only** | User groups specified in the agent development page can view and publish, but cannot edit or delete. | Department-specific agents |\n<div style=\"width:50%;\">\n  <img src=\"./assets/user-management/agent-permission.png\" alt=\"Agent Permission Settings\">\n</div>\n\n### 4.2 Knowledge Base Permission Settings\n\n| Permission Level | Description | Applicable Scenario |\n| ---------------- | ----------- | ------------------- |\n| **Private** | Only the creator (and administrators) can view and manage | Personal knowledge base |\n| **Specified User Group - Read Only** | Specified user groups can view but cannot edit or delete | Department knowledge base |\n| **Specified User Group - Editable** | Specified user groups can view and edit, delete | Project team knowledge base |\n\n<div style=\"display: flex; gap: 20px;\">\n  <img src=\"./assets/user-management/kb-permission-1.png\" alt=\"Knowledge Base Permission Settings 1\" style=\"width: 45%;\">\n  <img src=\"./assets/user-management/kb-permission-2.png\" alt=\"Knowledge Base Permission Settings 2\" style=\"width: 45%;\">\n</div>\n\n\n## V. Invitation Code Mechanism\n\nNexent platform uses an invitation code mechanism to control new user registration, ensuring platform security and controllability.\n\n### 5.1 Generating Invitation Codes\n\n- Super Administrators can go to \"Tenant Resources\" → \"Select Tenant\" → \"Invitation Code\"\n- Administrators can go directly through \"Tenant Resources\" → \"Invitation Code\"\n- Click \"Create Invitation Code\"\n- Configure parameters: invitation type (Administrator, Developer, User), invitation code, number of uses, user groups to join, expiration time\n- Copy the invitation code and distribute it to relevant personnel\n\n![Invitation Code 1](./assets/user-management/invite-code-1.png)\n\n<div style=\"width:50%;\">\n  <img src=\"./assets/user-management/invite-code-2.png\" alt=\"Invitation Code 2\">\n</div>\n\n\n## VI. Practical Examples\n\nThis section uses **XX City People's Hospital - Orthopedics Department** as an example to demonstrate how to build a single-department medical intelligent assistant system on the Nexent platform, as well as the workflow of each role in the system.\n\n### 6.1 Overall Architecture Design\n\n#### 6.1.1 Architecture Level Correspondence\n\nIn the scenario of XX City People's Hospital, the correspondence between Nexent platform levels and hospital entities is as follows:\n\n| Level | Corresponding Entity | Description |\n| ----- | -------------------- | ----------- |\n| **Super Administrator** | Hospital Information Center/System Administrator | Manages multiple departments (multiple tenants) of the entire hospital |\n| **Single Tenant** | Single Department | Such as: Orthopedics, Cardiology, Surgery |\n| **User Groups within Tenant** | Professional groups within the department | Such as: Orthopedics Physician Group, Nursing Group, Rehabilitation Group |\n| **Members within User Groups** | Specific medical staff/patients | Such as: Chief Physician of Orthopedics, Charge Nurse, Inpatient |\n\n#### 6.1.2 Definition and Responsibilities of Each Role\n\n| Role | Corresponding Personnel in Orthopedics Tenant | Core Responsibilities | Data Visibility Scope |\n| ---- | --------------------------------------------- | --------------------- | --------------------- |\n| **Super Administrator** | Hospital Information Center Administrator | Manages multiple tenants of hospital departments (Orthopedics, Cardiology, Surgery, etc.) | Data of all tenants in the hospital |\n| **Administrator** | Chief of Orthopedics | Manages all resources within the Orthopedics tenant (users, agents, knowledge bases, etc.) | All data of this department (this tenant) |\n| **Developer** | Chief Physicians and Associate Chief Physicians of Orthopedics Sub-specialties | Creates and edits clinical auxiliary agents, uploads professional materials to knowledge bases | Resources authorized within this department; self-created resources are manageable |\n| **Regular User** | Resident Physicians, Nurses, Patients | Uses published agents for work assistance, information queries, health education | Resources authorized for use within this department; view-only, no editing |\n\n### 6.2 Example User Work Scenarios\n\n#### Scenario 1: Hospital Information Center Administrator (Super Administrator Role)\n\n- **User Identity**: Hospital Information Center - System Administrator - Engineer Zhang\n- **Role**: Super Administrator\n- **Work Requirement**: Manage Nexent platform tenants for all departments of XX City People's Hospital, ensuring normal operation of systems in each department\n- **Operation Process in Nexent Platform**:\n  1. **Login to System**: Log in to Nexent platform with Super Administrator account\n  2. **View Tenant List**: Go to the \"Tenant Resources\" tab to view tenants of all hospital departments:\n     - Orthopedics Tenant\n     - Cardiology Tenant\n     - Surgery Tenant\n     - Pediatrics Tenant\n     - ... (other department tenants)\n  3. **Create New Tenant** (e.g., hospital newly opened Rehabilitation Department):\n     - Click \"Create Tenant\"\n     - Fill in tenant name: \"XX City People's Hospital - Rehabilitation Department\"\n     - Invite the Chief of Rehabilitation Department as the tenant administrator\n\n#### Scenario 2: Chief of Orthopedics (Tenant Administrator Role)\n\n- **User Identity**: Orthopedics - Management - Chief of Orthopedics - Director Liu\n- **Role**: Administrator\n- **Work Requirement**: Manage all resources within the Orthopedics tenant, create accounts and configure permissions for newly hired spine surgeons\n- **Operation Process in Nexent Platform**:\n  1. **Login to System**: Log in to Nexent platform with Administrator account\n  2. **Enter User Management**: Click the \"User Management\" tab\n  3. **Create New User**:\n     - Click \"Create Invitation Code\", configure the group and developer permissions for this doctor\n  4. **Assign User Groups**:\n     - This doctor also needs to join the subsequently created \"Spine Surgery New Group\" user group, enter \"User Management\" to edit\n  5. **Check Agent Permissions**:\n     - Enter \"Agent Space\" to view all existing agents in Orthopedics\n     - Check if the permission settings for \"Spine CT Image Analysis Assistant\" are correct (visible and editable to the Spine Surgery Group)\n  6. **Manage Knowledge Base**:\n     - Enter the \"Knowledge Base\" tab to check the content update status of the Orthopedics knowledge base\n     - Approve new materials submitted by doctors (such as new surgical cases, research literature, etc.)\n\n#### Scenario 3: Chief Physician of Spine Surgery (Developer Role)\n\n- **User Identity**: Orthopedics - Spine Surgery Group - Chief Physician - Dr. Wang\n- **Role**: Developer\n- **Work Requirement**: Need an intelligent assistant to help analyze spine CT images and provide surgical plan recommendations\n- **Operation Process in Nexent Platform**:\n  1. **Login to System**: Register account and password with the hospital-assigned invitation code and log in to the corresponding development group\n  2. **Enter Agent Development**: Click the \"Agent Development\" tab\n  3. **Create New Agent**: Click \"Create Agent\", name it \"Spine CT Image Analysis Assistant\"\n  4. **Configure Agent Capabilities**:\n     - Select \"Medical Image Analysis Model\" as the base model\n     - Associate \"Spine Surgery Knowledge Base\" as the knowledge source\n     - Configure prompts to train the agent to identify disc herniation, scoliosis and other lesions\n  5. **Set Permissions**:\n     - Visible User Groups: Select \"Spine Surgery Group\"\n     - Permission Level: Select \"Editable\" (allows doctors in the same department to modify and optimize)\n  6. **Publish Agent**: Click \"Publish\", the agent is officially put into use\n- **Accessible Data**:\n  - ✅ Self-created \"Spine CT Image Analysis Assistant\" agent (editable, version manageable)\n  - ✅ Other agents authorized for use (such as \"Orthopedics Medication Assistant\") (view-only)\n  - ✅ Orthopedics-related knowledge bases (queryable, some can upload materials)\n  - ❌ Data from other tenants (such as Cardiology) (completely isolated)\n\n#### Scenario 4: Orthopedics Inpatient (Regular User Role)\n\n- **User Identity**: Orthopedics - Inpatient Group - Inpatient - Mr. Zhang\n- **Role**: Regular User\n- **Work Requirement**: After lumbar disc surgery, wants to understand rehabilitation training methods and post-discharge precautions\n- **Operation Process in Nexent Platform**:\n  1. **Login to System**: Log in to the Nexent platform patient portal\n  2. **Enter Patient Services**: Click the \"Start Chat\" tab\n  3. **Select Agent**: Click \"Orthopedics Rehabilitation Assistant\"\n  4. **Initiate Consultation**:\n     - Input question: \"Day 3 after lumbar disc surgery, what rehabilitation training can I do?\"\n     - The agent provides rehabilitation movement videos and guidance suitable for early postoperative period based on the Orthopedics Rehabilitation knowledge base\n  5. **Schedule Follow-up**: Schedule a one-month post-discharge outpatient follow-up through the agent\n- **Accessible Data**:\n  - ✅ \"Orthopedics Rehabilitation Assistant\" agent (view-only)\n  - ❌ Doctor's diagnostic system (no permission)\n  - ❌ Other patients' data (completely isolated)\n\n\n## 💡 Get Help\n\nIf you encounter any issues while using the platform:\n\n- 📖 Check the **[FAQ](../quick-start/faq)** for detailed answers\n- 💬 Join our [Discord community](https://discord.gg/tb5H3S3wyv) to connect with other users\n"
  },
  {
    "path": "doc/docs/index.md",
    "content": "---\n# https://vitepress.dev/reference/default-theme-home-page\nlayout: home\n\nhero:\n  name: \"Nexent Documentation\"\n  text: \"Zero-Code AI Agent Platform\\n零代码智能体平台\"\n  tagline: \"Choose your language / 选择您的语言\"\n  actions:\n    - theme: brand\n      text: English\n      link: /en/getting-started/overview\n    - theme: alt\n      text: 简体中文\n      link: /zh/getting-started/overview\n\nfeatures:\n  - title: 🌍 Multi-Language Support\n    details: Documentation available in English and Chinese\n  - title: 📚 Comprehensive Users Docs\n    details: Complete guides, FAQ, and deploy documentation\n  - title: 🔧 Developer Resources\n    details: Contributing guidelines, security policies, and code of conduct\n---\n"
  },
  {
    "path": "doc/docs/zh/backend/api-reference.md",
    "content": "# Nexent API 文档\n\n## 🔗 访问 API 文档\n\n后端接口文档已托管在 Apifox，请通过以下链接查看最新版本：\n\n[Nexent API](https://8icfxll43r.apifox.cn)\n"
  },
  {
    "path": "doc/docs/zh/backend/overview.md",
    "content": "# 后端架构概览\n\nNexent 的后端采用 FastAPI 和 Python 构建，为 AI 智能体服务提供强大且可扩展的 API 平台。\n\n## 技术栈\n\n- **框架**: FastAPI\n- **语言**: Python 3.10+\n- **数据库**: PostgreSQL + Redis + Elasticsearch\n- **文件存储**: MinIO\n- **任务队列**: Celery + Ray\n- **AI框架**: smolagents\n- **向量数据库**: Elasticsearch\n\n## 目录结构\n\n```\nbackend/\n├── apps/                         # API应用层\n│   ├── base_app.py              # FastAPI主应用\n│   ├── agent_app.py             # 代理相关API\n│   ├── conversation_management_app.py # 对话管理API\n│   ├── file_management_app.py   # 文件管理API\n│   ├── knowledge_app.py         # 知识库API\n│   ├── model_managment_app.py   # 模型管理API\n│   ├── config_sync_app.py       # 配置同步API\n│   └── voice_app.py             # 语音相关API\n├── services/                     # 业务服务层\n│   ├── agent_service.py         # 代理业务逻辑\n│   ├── conversation_management_service.py # 对话管理\n│   ├── vectordatabase_service.py # 搜索引擎服务\n│   ├── model_health_service.py  # 模型健康检查\n│   ├── prompt_service.py        # 提示词服务\n│   └── tenant_config_service.py # 租户配置服务\n├── database/                     # 数据访问层\n│   ├── client.py                # 数据库连接\n│   ├── db_models.py             # 数据库模型\n│   ├── agent_db.py              # 代理数据操作\n│   ├── conversation_db.py       # 对话数据操作\n│   ├── knowledge_db.py          # 知识库数据操作\n│   └── tenant_config_db.py      # 租户配置数据操作\n├── agents/                       # 代理核心逻辑\n│   ├── agent_run_manager.py     # 代理运行管理器\n│   ├── create_agent_info.py     # 代理信息创建\n│   └── default_agents/          # 默认代理配置\n├── data_process/                 # 数据处理模块\n│   ├── app.py                   # 数据处理应用\n│   ├── config.py                # 数据处理配置\n│   ├── tasks.py                 # 数据处理任务\n│   ├── worker.py                # 数据处理工作器\n│   └── utils.py                 # 数据处理工具\n├── utils/                        # 工具类\n│   ├── auth_utils.py            # 认证工具\n│   ├── config_utils.py          # 配置工具\n│   ├── file_management_utils.py # 文件管理工具\n│   ├── logging_utils.py         # 日志工具\n│   └── thread_utils.py          # 线程工具\n├── consts/                       # 常量定义\n│   ├── const.py                 # 系统常量\n│   └── model.py                 # 数据模型\n├── prompts/                      # 提示词模板\n│   ├── knowledge_summary_agent.yaml # 知识库摘要代理\n│   ├── manager_system_prompt_template.yaml # 管理器系统提示词\n│   └── utils/                   # 提示词工具\n├── sql/                         # SQL脚本\n├── assets/                      # 后端资源文件\n├── config_service.py            # 编辑态服务入口\n├── runtime_service.py           # 运行态服务入口\n├── data_process_service.py      # 数据处理服务入口\n└── requirements.txt             # Python依赖\n```\n\n## 架构职责\n\n### **应用层 (apps)**\n- API路由定义\n- 请求参数验证\n- 响应格式化\n- 身份验证和授权\n\n### **服务层 (services)**\n- 核心业务逻辑实现\n- 数据处理和转换\n- 外部服务集成\n- 业务规则执行\n\n### **数据层 (database)**\n- 数据库操作和ORM模型\n- 数据访问接口\n- 事务管理\n- 数据一致性和完整性\n\n### **代理层 (agents)**\n- AI代理核心逻辑和执行\n- 工具调用和集成\n- 推理和决策制定\n- 代理生命周期管理\n\n### **工具层 (utils)**\n- 通用工具函数\n- 配置管理\n- 日志和监控\n- 线程和进程管理\n\n## 核心服务\n\n### 代理管理\n- 代理创建和配置\n- 执行生命周期管理\n- 工具集成和调用\n- 性能监控\n\n### 对话管理\n- 消息处理和存储\n- 上下文管理\n- 历史记录跟踪\n- 多租户支持\n\n### 知识库\n- 文档处理和索引\n- 向量搜索和检索\n- 内容摘要\n- 知识图谱构建\n\n### 文件管理\n- 多格式文件处理\n- MinIO存储集成\n- 批处理能力\n- 元数据提取\n\n### 模型集成\n- 多模型提供商支持\n- 健康监控和故障转移\n- 负载均衡和缓存\n- 性能优化\n\n## 数据流架构\n\n### 1. 用户请求流程\n```\n用户输入 → 前端验证 → API调用 → 后端路由 → 业务服务 → 数据访问 → 数据库\n```\n\n### 2. AI Agent执行流程\n```\n用户消息 → Agent创建 → 工具调用 → 模型推理 → 流式响应 → 结果保存\n```\n\n### 3. 知识库文件处理流程\n```\n文件上传 → 临时存储 → 数据处理 → 向量化 → 知识库存储 → 索引更新\n```\n\n### 4. 实时文件处理流程\n```\n文件上传 → 临时存储 → 数据处理 → Agent → 回答\n```\n\n## 部署架构\n\n### 容器服务\n- **nexent**: 后端服务 (端口 5010)\n- **nexent-data-process**: 数据处理服务 (端口 5012)\n- **nexent-postgresql**: 数据库 (端口 5434)\n- **nexent-elasticsearch**: 搜索引擎 (端口 9210)\n- **nexent-minio**: 对象存储 (端口 9010)\n- **redis**: 缓存服务 (端口 6379)\n\n### 可选服务\n- **nexent-openssh-server**: 终端工具的SSH服务器 (端口 2222)\n\n## 开发设置\n\n### 环境搭建\n```bash\ncd backend\nuv sync && uv pip install -e ../sdk\n```\n\n### 服务启动\n```bash\npython backend/data_process_service.py   # 数据处理服务\npython backend/config_service.py      # 编辑态服务\npython backend/runtime_service.py        # 运行态服务\npython backend/mcp_service.py     # MCP服务\n```\n\n## 性能和可扩展性\n\n### 异步架构\n- 基于asyncio的高性能异步处理\n- 线程安全的并发处理机制\n- 针对分布式任务队列优化\n\n### 缓存策略\n- 多层缓存提升响应速度\n- Redis用于会话和临时数据\n- Elasticsearch用于搜索结果缓存\n\n### 负载均衡\n- 智能并发限制\n- 资源池管理\n- 自动扩展能力\n\n详细的后端开发指南，请参阅 [开发者指南](../developer-guide/overview)。"
  },
  {
    "path": "doc/docs/zh/backend/prompt-development.md",
    "content": "# 提示词开发指南\n\n本指南说明 `backend/prompts/` 下提示词模板的组织方式，以及如何为新智能体扩展模板。\n\n## 📂 文件布局与命名\n\n- 核心模板位于 `backend/prompts/`，通常命名为 `{agent_type}_agent.yaml` 或 `{scope}_prompt_template.yaml`。\n- 工具类/辅助模板位于 `backend/prompts/utils/`，用于元提示生成（如标题、提示词生成）。\n\n## 🧩 模板结构\n\n常见字段：\n- `system_prompt`：角色/职责、执行流程、工具与子智能体使用规则、Python 代码约束、示例。\n- `planning`：`initial_facts`、`initial_plan` 及更新前后提示。\n- `managed_agent`：分配与汇报的子智能体提示。\n- `final_answer`：生成最终答案前后提示。\n- `tools_requirement`：工具使用优先级与规范。\n- `few_shots`：少样本示例。\n\n## 🔄 变量占位\n\n模板中常用占位符：\n- `tools`、`managed_agents`\n- `task`、`remaining_steps`\n- `authorized_imports`\n- `facts_update`、`answer_facts`\n\n## 📑 关键模板\n\n- 管理器智能体：`manager_system_prompt_template.yaml`、`manager_system_prompt_template_en.yaml`\n- 被管理智能体：`managed_system_prompt_template.yaml`、`managed_system_prompt_template_en.yaml`\n- 知识总结：`knowledge_summary_agent.yaml`、`knowledge_summary_agent_en.yaml`\n- 文件分析：`analyze_file.yaml`、`analyze_file_en.yaml`\n- 聚类总结：`cluster_summary_agent.yaml`、`cluster_summary_reduce.yaml`（含 `_zh` 版本）\n- 工具/生成辅助（`utils/`）：`prompt_generate*.yaml`、`generate_title*.yaml`\n\n## 🚀 如何扩展\n\n1. 选取最相近模板复制，调整 `system_prompt`/`planning` 适配场景。\n2. 保留必要占位符，除非明确不需要。\n3. 工具列表需与实际可用工具一致，必要时更新 `authorized_imports`。\n4. 用小任务验证“思考 → 代码 → 观察 → 重复”流程是否符合预期。\n\n## ✅ 规范与提示\n\n- 可执行代码块使用 ````py````，仅展示代码用 ````code:语言````。\n- 工具调用尽量用关键字参数，单轮避免过多工具调用。\n- 注释/文档保持英文，遵守仓库规则与授权导入限制。\n"
  },
  {
    "path": "doc/docs/zh/backend/tools/index.md",
    "content": "# 后端工具文档\n\n本节介绍 Nexent 后端基础设施中可用的工具生态系统。\n\n## 可用工具类别\n\n### LangChain 工具\n与 LangChain 生态系统集成，实现高级 AI 工作流。\n→ [LangChain 工具指南](./langchain)\n\n### MCP 工具\n模型上下文协议工具，用于标准化 AI 智能体通信。\n→ [MCP 工具开发](./mcp)\n\n## 快速开始\n\n1. **选择工具类型**: LangChain 用于通用 AI 工作流，MCP 用于标准化智能体通信\n2. **遵循集成指南**: 每种工具类型都有特定的设置要求\n3. **测试集成**: 使用提供的示例验证设置\n4. **构建智能体**: 组合工具来创建强大的 AI 智能体\n\n## SDK 集成\n\n有关 SDK 级别的工具开发，请参阅：\n→ [SDK 工具文档](../../sdk/core/tools)\n\n## 需要帮助？\n\n- 查看我们的 [常见问题](../../quick-start/faq) 了解常见工具集成问题\n- 加入我们的 [Discord 社区](https://discord.gg/tb5H3S3wyv) 获取实时支持\n- 查看 [GitHub Issues](https://github.com/ModelEngine-Group/nexent/issues) 了解已知问题"
  },
  {
    "path": "doc/docs/zh/backend/tools/langchain.md",
    "content": "# 在 LangChain 中自定义工具（Python 指南）\n\n> 本文示例代码部分位于 `backend/mcp_service/langchain/compute_tool.py`\n>\n> 参考链接：<https://python.langchain.ac.cn/docs/how_to/custom_tools/>\n\n---\n\n## 1. 环境准备\n\n```bash\npip install langchain\n```\n\n---\n\n## 2. 使用 `@tool` 装饰器\n\n最简便的方式：直接在普通函数上加 `@tool`。LangChain 会自动把该函数包装成可在 Agent/链中调用的 **Tool**。\n\n```python\n@tool\ndef add(a: int, b: int) -> int:\n    \"\"\"计算两数之和\"\"\"\n    return a + b\n```\n\n### 解析要点\n1. **函数签名** 决定了工具的参数。\n2. **函数注释/文档字符串** 会成为工具的描述，帮助 LLM 选择合适工具。\n\n---\n\n## 3. 带参数注解与 `parse_docstring`\n\n可以在参数上写注解或让 LangChain 解析 docstring 生成更丰富的提示。\n\n```python\n@tool(parse_docstring=True)\n\ndef subtraction(a: int, b: int) -> int:\n    \"\"\"计算两数差\n\n    Args:\n        a (int): 被减数\n        b (int): 减数\n    \"\"\"\n    return a - b\n```\n\n- `parse_docstring=True` 让 LangChain 读取 `Args:` 中的说明，效果等同于在参数上加 `Annotated`。\n\n---\n\n## 4. 自定义输入模型 (`args_schema`)\n\n当参数较多或需要更复杂的校验时，推荐用 **Pydantic** 定义输入。\n\n```python\nclass DivisionInput(BaseModel):\n    num1: int = Field(description=\"被除数\")\n    num2: int = Field(description=\"除数\")\n\n@tool(\"division\", args_schema=DivisionInput)\n\ndef division(num1: int, num2: int) -> float:\n    \"\"\"返回 num1 / num2\"\"\"\n    return num1 / num2\n```\n\n好处：\n- 自动生成 JSON Schema → 工具调用更精准。\n- 自带类型和边界校验。\n\n---\n\n## 5. 使用 `StructuredTool.from_function`\n\n如果想更加细粒度地控制工具（如同步/异步实现、是否直接返回给用户等），可以使用 `StructuredTool`：\n\n```python\ndef exponentiation_func(num: int, power: int) -> int:\n    \"\"\"计算 num 的 power 次幂\"\"\"\n    return num ** power\n\nexponentiation = StructuredTool.from_function(\n    func=exponentiation_func,\n    name=\"exponentiation\",\n    description=\"计算指数\",\n    args_schema=ExponentiationInput,\n    return_direct=True,  # 工具结果是否直接流向最终输出\n    # coroutine= ... <- you can specify an async method if desired as well\n)\n```\n\n参数说明：\n- `name` / `description`：用于提示 LLM 选用该工具。\n- `args_schema`：同样用 Pydantic 定义输入参数。\n- `return_direct=True`：若为 `True`，工具输出将直接返回给用户，而不是再交由 LLM 总结。\n- `coroutine`：可指定一个异步函数（`async def`），在异步环境下由 LangChain 调用；如果未提供，则默认调用同步 `func`。\n\n---\n\n## 6. 子类化 `BaseTool`（进阶）\n\n当需要完全自定义同步/异步执行逻辑或返回内容 + 产物（artifact）时，可继承 `BaseTool`。\n\n```python\nfrom langchain_core.tools import BaseTool\nfrom typing import Tuple, List\n\nclass GenerateRandomFloats(BaseTool):\n    name = \"generate_random_floats\"\n    description = \"生成随机浮点数数组\"\n    response_format = \"content_and_artifact\"  # 同时返回文本与产物\n\n    ndigits: int = 2  # 自定义属性\n\n    def _run(self, min: float, max: float, size: int) -> Tuple[str, List[float]]:\n        import random, math\n        arr = [round(random.uniform(min, max), self.ndigits) for _ in range(size)]\n        content = f\"已生成 {size} 个随机数，在区间 [{min}, {max}] 内。\"\n        return content, arr\n\nrandom = GenerateRandomFloats()\n```\n\n> **提示**：若想支持异步，额外实现 `_arun` 方法。\n\n---\n\n## 7. 错误处理\n\nLangChain 允许在工具层自定义错误处理逻辑，示例：\n\n```python\ndef _handle_error(error: ToolException) -> str:\n    return f\"工具执行出错：{error.args[0]}\"\n\nget_weather_tool = StructuredTool.from_function(\n    func=get_weather,\n    handle_tool_error=_handle_error,\n)\n```\n\n---\n\n## 8. 返回 **content 与 artifact**（可选）\n\n- **content**：发送给模型的自然语言描述。\n- **artifact**：保存在链上下文，可供后续工具调用或展示，但不会被模型直接看到。\n\n只需在工具定义时加入 `response_format=\"content_and_artifact\"` 并返回 `(content, artifact)` 二元组即可。\n\n```python\n@tool(response_format=\"content_and_artifact\")\n\ndef generate_random_ints(min: int, max: int, size: int):\n    import random\n    arr = [random.randint(min, max) for _ in range(size)]\n    return f\"生成了 {size} 个随机整数。\", arr\n```\n\n---\n\n## 9. 将工具接入 Agent / Chain\n\n```python\nfrom langchain_openai import ChatOpenAI\nfrom langchain.agents import AgentExecutor, create_openai_functions_agent\n\nllm = ChatOpenAI(model_name=\"gpt-4o-mini\")\n\ntools = [add, subtraction, multiply, division, exponentiation]\n\nagent = create_openai_functions_agent(llm, tools)\nagent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)\n\n# 体验\nagent_executor.invoke({\"input\": \"帮我计算 3 的 5 次方是多少？\"})\n```\n\n运行日志中你将看到：\n1. LLM 通过工具描述决定调用 `exponentiation`。\n2. 工具执行后直接返回 `243`。\n3. Agent 将结果展示给用户。\n\n---\n\n## 10. 小结\n\n1. `@tool` → 快速上手。\n2. `args_schema` + Pydantic → 精准、可校验的输入。\n3. `StructuredTool` / `BaseTool` → 进阶控制，如异步、错误处理、artifact 返回。\n4. **清晰的 `name` / `description` / 参数说明** 是让 LLM 正确选用工具的关键。\n\n希望本指南能帮助你快速在自己的 LangChain 应用中，创建并集成自定义工具。祝编程愉快！\n"
  },
  {
    "path": "doc/docs/zh/backend/tools/mcp.md",
    "content": "# Model Context Protocol (MCP)\n\n## 🌟 什么是 MCP？\n\nModel Context Protocol (MCP) 是连接 AI 与外部系统（数据、工具、工作流）的开放标准，相当于 AI 的 \"USB-C\"。它让主机（如 Claude Desktop、Nexent）按统一协议发现并调用 MCP 服务器暴露的工具/资源。\n\n## 🧭 MCP 能力\n\n- **Tools**：可由 LLM 调用的函数（需用户授权）\n- **Resources**：可读取的文件型数据\n- **Prompts**：服务器可共享的模板\n- 主机可通过标准协议连接本地或远程 MCP 服务器，自动发现能力\n\n## 🌐 语言支持\n\nMCP 协议支持多种编程语言：\n\n- **Python** ⭐（推荐新手使用）\n- **TypeScript**\n- **Java**\n- **Go**\n- **Rust**\n- 以及其他支持 MCP 协议的语言\n\n我们推荐使用 **Python**，因为它语法简洁易学，拥有 FastMCP 等丰富框架支持，可以快速构建原型，且有数千个成熟的第三方库可用。\n\n## 🚀 快速开始\n\n### 📋 前置要求\n\n在开始之前，请安装 FastMCP：\n\n```bash\npip install fastmcp\n```\n\n### 📝 基础示例\n\n创建一个简单的字符串处理 MCP 服务器：\n\n```python\nfrom fastmcp import FastMCP\n\n# 创建MCP服务器实例\nmcp = FastMCP(name=\"String MCP Server\")\n\n@mcp.tool(\n    name=\"calculate_string_length\",\n    description=\"计算输入字符串的长度\"\n)\ndef calculate_string_length(text: str) -> int:\n    return len(text)\n\n@mcp.tool(\n    name=\"to_uppercase\",\n    description=\"将字符串转换为大写\"\n)\ndef to_uppercase(text: str) -> str:\n    return text.upper()\n\n@mcp.tool(\n    name=\"to_lowercase\",\n    description=\"将字符串转换为小写\"\n)\ndef to_lowercase(text: str) -> str:\n    return text.lower()\n\nif __name__ == \"__main__\":\n    # 使用SSE协议启动服务\n    mcp.run(transport=\"sse\", port=8000)\n```\n\n### 🏃 运行服务器\n\n保存代码为 `mcp_server.py`，然后运行：\n\n```bash\npython mcp_server.py\n```\n\n您将看到 MCP 服务器成功启动，服务地址为 `http://127.0.0.1:8000/sse`。\n\n## 🔌 集成到 Nexent\n\nMCP 服务器运行后，将其连接到 Nexent：\n\n### 📍 步骤 1：启动 MCP 服务器\n\n确保服务器正在运行，并记录其访问地址（例如 `http://127.0.0.1:8000/sse`）。\n\n### ⚙️ 步骤 2：在 Nexent 中注册\n\n1. 进入 **[智能体开发](../../user-guide/agent-development)** 页面\n2. 在\"选择Agent的工具\"页签右侧，点击\"**MCP配置**\"\n3. 在弹出的配置窗口中，输入服务器名称和服务器URL\n   - ⚠️ **注意**：\n     - 服务器名称只能包含英文字母和数字，不能包含空格、下划线等其他字符\n     - 如果使用 Docker 容器部署 Nexent，且 MCP 服务器运行在宿主机上，需要将 `127.0.0.1` 替换为 `host.docker.internal`（例如 `http://host.docker.internal:8000`）\n4. 点击\"**添加**\"按钮完成配置\n\n### 🎯 步骤 3：使用 MCP 工具\n\n配置完成后，在创建或编辑智能体时，您可以在工具列表中找到并选择您添加的 MCP 工具。\n\n## 🔧 高级用例\n\n### 🌐 包装 REST API\n\n将现有的 REST API 包装为 MCP 工具：\n\n```python\nfrom fastmcp import FastMCP\nimport requests\n\nmcp = FastMCP(\"Course Statistics Server\")\n\n@mcp.tool(\n    name=\"get_course_statistics\",\n    description=\"根据课程号获取某门课程的成绩统计信息（包含平均分、最高分、最低分等）\"\n)\ndef get_course_statistics(course_id: str) -> str:\n    api_url = \"https://your-school-api.com/api/courses/statistics\"\n    response = requests.get(api_url, params={\"course_id\": course_id})\n    \n    if response.status_code == 200:\n        data = response.json()\n        stats = data.get(\"statistics\", {})\n        return f\"课程 {course_id} 成绩统计：\\n平均分: {stats.get('average', 'N/A')}\\n最高分: {stats.get('max', 'N/A')}\\n最低分: {stats.get('min', 'N/A')}\\n总人数: {stats.get('total_students', 'N/A')}\"\n    return f\"API调用失败: {response.status_code}\"\n\nif __name__ == \"__main__\":\n    mcp.run(transport=\"sse\", port=8000)\n```\n\n### 🏢 包装内部服务\n\n集成本地业务逻辑：\n\n```python\nfrom fastmcp import FastMCP\nfrom your_school_module import query_course_statistics\n\nmcp = FastMCP(\"Course Statistics Server\")\n\n@mcp.tool(\n    name=\"get_course_statistics\",\n    description=\"根据课程号获取某门课程的成绩统计信息（包含平均分、最高分、最低分等）\"\n)\ndef get_course_statistics(course_id: str) -> str:\n    try:\n        stats = query_course_statistics(course_id)\n        return f\"课程 {course_id} 成绩统计：\\n平均分: {stats.get('average', 'N/A')}\\n最高分: {stats.get('max', 'N/A')}\\n最低分: {stats.get('min', 'N/A')}\\n总人数: {stats.get('total_students', 'N/A')}\"\n    except Exception as e:\n        return f\"查询成绩统计时出错: {str(e)}\"\n\nif __name__ == \"__main__\":\n    mcp.run(transport=\"sse\", port=8000)\n```\n\n## ✅ 最佳实践\n\n- **日志记录**: stdio 传输避免 stdout 日志（不要 `print`），日志写入 stderr/文件。[日志说明](https://modelcontextprotocol.io/docs/develop/build-server#logging-in-mcp-servers)\n- **文档规范**: 工具 docstring/类型要清晰，FastMCP 会据此生成 schema\n- **错误处理**: 友好处理错误，返回可读文本\n- **安全性**: 敏感信息放环境变量/密钥管理，不要硬编码\n\n## 📚 相关资源\n\n### 🐍 Python\n\n- [FastMCP 文档](https://github.com/modelcontextprotocol/python-sdk)\n- [Python SDK 仓库](https://github.com/modelcontextprotocol/python-sdk)\n\n### 🔤 其他语言\n\n- [MCP TypeScript SDK](https://github.com/modelcontextprotocol/typescript-sdk)\n- [MCP Java SDK](https://github.com/modelcontextprotocol/java-sdk)\n- [MCP Go SDK](https://github.com/modelcontextprotocol/go-sdk)\n- [MCP Rust SDK](https://github.com/modelcontextprotocol/rust-sdk)\n\n### 📖 官方文档\n\n- [MCP 介绍](https://modelcontextprotocol.io/docs/getting-started/intro)\n- [构建服务器指南](https://modelcontextprotocol.io/docs/develop/build-server)\n- [SDK 文档](https://modelcontextprotocol.io/docs/sdk)\n- [MCP 协议规范](https://modelcontextprotocol.io/)\n\n### 🔗 相关指南\n\n- [Nexent 智能体开发指南](../../user-guide/agent-development)\n- [MCP 工具生态系统概览](../../mcp-ecosystem/overview)\n- [MCP 推荐](../../mcp-ecosystem/mcp-recommendations)\n\n## 🆘 获取帮助\n\n如果在开发 MCP 服务器时遇到问题：\n\n1. 查看 **[常见问题](../../quick-start/faq)**\n2. 在 [GitHub Discussions](https://github.com/ModelEngine-Group/nexent/discussions) 中提问\n3. 参考 [ModelScope MCP Marketplace](https://www.modelscope.cn/mcp) 中的示例服务器\n"
  },
  {
    "path": "doc/docs/zh/backend/tools/nexent-native.md",
    "content": "---\ntitle: Nexent 原生工具\n---\n\n# Nexent 原生工具\n\n## 🧭 范围\n\nNexent 原生工具统一在官方仓库维护。如需新增自定义能力，请在 `sdk/nexent/core/tools` 目录按现有模式开发并提交。\n\n## 🛠️ 开发规范\n\n- 在 `sdk/nexent/core/tools` 与现有工具并行开发（如文件、搜索、邮件、多模态等）。\n- 遵循 [工具模块](../../sdk/core/tools) 的结构、输入定义与消息规则。\n- 注释与文档使用英文，遵守仓库规则。\n\n## 🤝 贡献路径\n\n- 仅支持向 Nexent 官方仓库提交 PR，不支持外部托管的“原生工具”。\n- 参考现有实现及 [贡献指南](../../contributing) 完成流程与质量要求。\n\n## 🔗 相关参考\n\n- [工具模块](../../sdk/core/tools)\n- [贡献指南](../../contributing)\n\n"
  },
  {
    "path": "doc/docs/zh/backend/version-management.md",
    "content": "# 版本信息管理\n\nNexent 项目采用统一的版本管理策略，确保前端和后端版本信息的一致性。本文档介绍如何管理和更新项目版本信息。\n\n## 📋 版本号格式\n\nNexent 使用语义化版本控制：\n\n- **格式**: `vMAJOR.MINOR.PATCH` 或 `vMAJOR.MINOR.PATCH.BUILD` (例如：v1.1.0 或 v1.1.0.1)\n- **MAJOR**: 不兼容的 API 修改\n- **MINOR**: 向下兼容的功能性新增\n- **PATCH**: 向下兼容的问题修正\n- **BUILD**: 可选的小版本号，用于更细粒度的 bugfix 版本\n\n### 🏷️ 版本号示例\n\n- `v1.2.0` - 功能更新版本\n- `v1.2.0.1` - 包含小版本号的 bugfix 版本\n\n## 🖥️ 前端版本管理\n\n### 📍 版本信息位置\n\n前端版本信息通过接口从后端获取。\n\n- **接口**: `GET /api/tenant_config/deployment_version`\n- **服务**: `frontend/services/versionService.ts`\n\n### 🔄 版本更新流程\n\n1. **在代码中更新后端版本**\n\n编辑 `backend/consts/const.py` 更新 `APP_VERSION`：\n\n```python\n# backend/consts/const.py\nAPP_VERSION=\"v1.1.0\"\n```\n\n2. **验证版本显示**\n\n   ```bash\n   # 启动前端服务\n   cd frontend\n   npm run dev\n\n   # 在页面底部检查应用版本显示\n   ```\n\n### 📺 版本显示\n\n前端版本信息在以下位置显示：\n\n- 位置：页面底部导航栏，位于页面左下角\n- 版本格式：`v1.1.0`\n\n## ⚙️ 后端版本管理\n\n### 📍 版本信息位置\n\n后端版本信息在 `backend/consts/const.py` 中以代码形式定义：\n\n```python\n# backend/consts/const.py\nAPP_VERSION = \"v1.0.0\"\n```\n\n### 🔧 版本配置\n\n版本通过直接修改 `backend/consts/const.py` 中的 `APP_VERSION` 配置。\n\n### 📺 版本显示\n\n后端启动时会在日志中打印版本信息：\n\n```python\n# backend/config_service.py\nlogger.info(f\"APP version is: {APP_VERSION}\")\n```\n\n### 🔄 版本更新流程\n\n1. **在代码中更新版本**\n\n```python\n# 编辑 backend/consts/const.py\nAPP_VERSION=\"v1.1.0\"\n```\n\n2. **验证版本显示**\n\n   ```bash\n   # 启动后端服务\n   cd backend\n   python config_service.py\n\n   # 查看启动日志中的版本信息\n   # 输出示例：APP version is: v1.1.0\n   ```\n\n"
  },
  {
    "path": "doc/docs/zh/code-of-conduct.md",
    "content": "# 贡献者行为准则\n\n## 我们的承诺\n\n作为成员、贡献者和领导者，我们承诺让每个人都能参与我们的社区，无论年龄、体型、明显或不明显的残疾、种族、性别特征、性别认同和表达、经验水平、教育程度、社会经济地位、国籍、外貌、种族、血统、肤色、宗教或性认同和性取向如何，都不会遭受骚扰。\n\n我们承诺以有助于开放、友好、多元、包容和健康社区的方式行事和互动。\n\n## 我们的标准\n\n有助于为我们社区创造积极环境的行为示例包括：\n\n* 对他人表现出同理心和善意\n* 尊重不同的意见、观点和经历\n* 给出并优雅地接受建设性反馈\n* 承担责任并向受我们错误影响的人道歉，并从中学习\n* 专注于对个人和整个社区最有利的事情\n\n不可接受的行为示例包括：\n\n* 使用性化的语言或图像，以及任何形式的性关注或性骚扰\n* 恶意评论、侮辱或贬损性评论，以及人身或政治攻击\n* 公开或私下骚扰\n* 未经明确许可发布他人的私人信息，如实际地址或电子邮件地址\n* 在专业环境中可能被合理地认为不适当的其他行为\n\n## 执行责任\n\n社区领导者有责任澄清和执行我们的可接受行为标准，并将对他们认为不适当、威胁、攻击性或有害的任何行为采取适当和公平的纠正措施。\n\n社区领导者有权利和责任删除、编辑或拒绝与本行为准则不符的评论、提交、代码、wiki编辑、问题和其他贡献，并将在适当时说明审核决定的原因。\n\n## 适用范围\n\n本行为准则适用于所有社区空间，也适用于个人在公共空间正式代表社区时。代表我们社区的示例包括使用官方电子邮件地址、通过官方社交媒体账户发布或在在线或离线活动中担任指定代表。\n\n## 执行\n\n可以向负责执行的社区领导者举报滥用、骚扰或其他不可接受的行为实例，联系邮箱：[wanmingchen1@huawei.com]。\n所有投诉都将得到及时和公平的审查和调查。\n\n所有社区领导者都有义务尊重任何事件举报者的隐私和安全。\n\n## 执行指南\n\n社区领导者将遵循这些社区影响指南来确定他们认为违反本行为准则的任何行为的后果：\n\n### 1. 纠正\n\n**社区影响**：使用不当语言或其他在社区中被认为不专业或不受欢迎的行为。\n\n**后果**：社区领导者发出私人书面警告，澄清违规性质并解释行为不当的原因。可能要求公开道歉。\n\n### 2. 警告\n\n**社区影响**：通过单一事件或一系列行为的违规。\n\n**后果**：对持续行为后果的警告。在指定时间内不得与相关人员互动，包括主动与执行行为准则的人员互动。这包括避免在社区空间以及外部渠道（如社交媒体）中的互动。违反这些条款可能导致临时或永久禁止。\n\n### 3. 临时禁止\n\n**社区影响**：严重违反社区标准，包括持续的不当行为。\n\n**后果**：在指定时间内临时禁止与社区进行任何形式的互动或公共交流。在此期间不允许与相关人员进行公开或私人互动，包括主动与执行行为准则的人员互动。违反这些条款可能导致永久禁止。\n\n### 4. 永久禁止\n\n**社区影响**：表现出违反社区标准的模式，包括持续的不当行为、对个人的骚扰或对个人群体的侵犯或贬低。\n\n**后果**：永久禁止在社区内进行任何形式的公共互动。\n\n## 归属\n\n本行为准则改编自[贡献者公约][homepage]2.1版，可在[https://www.contributor-covenant.org/version/2/1/code_of_conduct.html][v2.1]获得。\n\n社区影响指南的灵感来自[Mozilla的行为准则执行阶梯][Mozilla CoC]。\n\n有关此行为准则的常见问题的答案，请参见[https://www.contributor-covenant.org/faq][FAQ]的FAQ。翻译版本可在[https://www.contributor-covenant.org/translations][translations]获得。\n\n[homepage]: https://www.contributor-covenant.org\n[v2.1]: https://www.contributor-covenant.org/version/2/1/code_of_conduct.html\n[Mozilla CoC]: https://github.com/mozilla/diversity\n[FAQ]: https://www.contributor-covenant.org/faq\n[translations]: https://www.contributor-covenant.org/translations"
  },
  {
    "path": "doc/docs/zh/contributing.md",
    "content": "# Nexent 贡献指南\n\n感谢您考虑为 Nexent 贡献力量！无论是代码、文档还是经验分享，您的每一份付出都能让 Nexent 变得更好。如果您愿意向他人推荐 Nexent 或在仓库点个 ⭐️，我们也非常感激。万分感谢！💛 让我们一起打造非凡之作！🎉\n\n关于许可证，请花一分钟阅读我们简短的[许可和贡献者协议](https://github.com/ModelEngine-Group/nexent/blob/main/LICENSE)。同时也请遵循[社区行为准则](https://github.com/ModelEngine-Group/nexent/blob/main/CODE_OF_CONDUCT.md)。\n\n## 🤔 如何贡献\n\n### 🐛 发现了一个 Bug？\n\n如果您发现了 Bug，请告诉我们！您的敏锐观察将帮助所有用户获得更好的 Nexent。\n\n### 💡 有功能创意？\n\n有提升 Nexent 的绝妙想法？我们非常乐意倾听！与我们分享您的愿景。\n\n### 💻 想提交代码？\n\n无论是修复 Bug 还是添加新功能，您的代码贡献都非常宝贵。\n\n### 📖 想改进文档？\n\n优秀的文档是优秀项目的关键。帮助我们让 Nexent 更易用、更易懂。\n\n---\n\n## 🌳 分支策略 GitFlow\n\n![GitFlow 工作流](../assets/git-flow.svg)\n\n\nGitflow 是一种结构化的 Git 分支管理模型，为软件开发提供了清晰的流程。它为不同目的（如功能、发布、热修复）定义了专用分支，并规定了它们的交互方式，有助于规范开发流程、高效管理发布并促进协作。\n\n### 主要分支\n- **main**：代表正式发布历史，始终保持可部署状态。\n- **develop**：日常开发的主分支，集成 feature 分支的新功能和 bugfix。\n\n### 辅助分支\n- **feature 分支**：用于开发新功能，从 develop 分支创建，开发完成后合并回 develop。\n- **release 分支**：用于准备新版本发布，允许最终测试和小调整，发布后合并到 main 和 develop。\n- **hotfix 分支**：用于生产环境紧急修复，从 main 分支创建，修复后合并回 main 和 develop。\n\n### Gitflow 优势\n- **结构化流程**：为不同类型的更改提供清晰一致的管理方式。\n- **提升协作**：通过明确分支角色和交互方式，促进团队协作。\n- **高效发布**：通过专用分支隔离变更，便于最终测试和快速发布。\n- **减少冲突**：feature 和 release 分支的使用，有助于减少合并冲突并简化解决过程。\n\n如上图所示，GitFlow 工作流一目了然。\n\n## 🐞 提交 Bug 报告或功能请求\n\n### Bug 报告\n为了帮助我们快速理解和修复问题，请包含以下内容：\n- 描述 Bug 的**清晰标题**。\n- 问题的**详细描述**，包括重现步骤。\n- 任何**错误信息**或日志（如果有）。\n- 预期行为与实际行为的对比。\n- 截图或屏幕录像（如果有帮助）。\n\n### 功能请求\n对于功能创意，请提供：\n- 总结功能的**清晰标题**。\n- 功能的**详细描述**及其优势。\n- 任何相关的**用例**或示例。\n- 截图或设计稿（如果有）。\n\n**提交到哪里？**  \n在我们的 [GitHub Issues](https://github.com/ModelEngine-Group/nexent/issues) 中新建一个 Issue，并选择合适的模板（Bug 报告或功能请求）。\n\n## 🌟 开源纪念墙快速贡献\n\n想要在开源纪念墙上留下您的印记吗？这是一个专门为初学者设计的详细步骤流程：\n\n### 步骤 1：编辑纪念墙文件\n\n![步骤1](./assets/contribute_step_1.png)\n\n**说明：** 在 GitHub 网页上点击 [开源纪念墙文件](https://github.com/ModelEngine-Group/nexent/blob/develop/doc/docs/zh/opensource-memorial-wall.md) 右上角的✏️编辑按钮\n\n---\n\n### 步骤 2：添加您的留言\n\n![步骤2](./assets/contribute_step_2.png)\n\n**说明：** 在文档末尾留言后点击 Commit changes\n\n---\n\n### 步骤 3：提交更改\n\n![步骤3-1](./assets/contribute_step_3-1.png)\n\n![步骤3-2](./assets/contribute_step_3-2.png)\n\n**说明：** 点击 Propose changes 后再点击 Create pull request 创建PR，然后等待合入就可以啦！\n\n---\n\n### 步骤 4：成功！\n\n![步骤4](./assets/contribute_step_4.png)\n\n**说明：** 合入成功后会在 GitHub 首页显示~ 恭喜您成为Nexent 共创者之一~ 🎉\n\n就这么简单！我们会尽快审核并合并您的贡献。✨\n\n\n### 纪念墙贡献示例\n```markdown\n::: tip 开源新手 - 2024-01-15\n感谢 Nexent 让我踏上了开源之旅！这个项目的文档真的很棒，帮助我快速上手。\n:::\n\n::: info 资深开发者 - 2024-01-16\n使用 Nexent 开发了几个项目，MCP 工具集成特别强大，节省了大量开发时间！\n:::\n```\n\n---\n\n## 💻 提交代码更改\n\n### 第一步：Fork 仓库\n🍴 Fork [Nexent 仓库](https://github.com/ModelEngine-Group/nexent) 到您的 GitHub 账户。\n\n### 第二步：克隆您的 Fork\n📦 将您的 Fork 克隆到本地：\n```bash\ngit clone https://github.com/ModelEngine-Group/nexent.git\n```\n\n### 第三步：创建分支\n🌿 为您的更改创建一个新分支：\n```bash\ngit checkout -b 您的分支名\n```\n\n### 第四步：进行更改\n🧙‍♂️ 像魔法师一样编码！遵循我们的 [开发者指南](./developer-guide/overview) 获取设置说明和编码标准。确保您的更改经过充分测试并有文档记录。\n\n### 第五步：提交更改\n📝 按照我们的提交消息规范，提交清晰简洁的消息（建议采用英文，让更多人理解你）：\n\n| 类型      | 图标 | 描述              |\n|---------|------|-----------------|\n| 重构      | ♻️ | 代码逻辑优化，不影响功能    |\n| 代码迁移    | 🚚 | 移动、迁移文件或模块      |\n| 新需求/新特性 | ✨ | 增加新功能、新特性       |\n| Bug修复   | 🐛 | 修复问题或错误         |\n| 风格优化    | 🎨 | 改进代码风格、格式化，不改功能 |\n| 工程优化    | 🔨 | 工程工具更新、配置调整     |\n| 文档更新    | 📝 | 只改动文档内容         |\n| 添加测试用例  | 🧪 | 添加测试用例或修改测试用例   |\n\n示例提交消息：\n```bash\ngit commit -m \"✨ add user authentication\"\ngit commit -m \"🐛 resolve login timeout issue\"\ngit commit -m \"📝 update API documentation\"\n```\n\n### 第六步：与上游同步\n⚙️ 让您的 Fork 与主仓库的最新更改保持同步：\n```bash\ngit remote add upstream https://github.com/ModelEngine-Group/nexent.git\ngit fetch upstream\ngit merge upstream/main\n```\n\n### 第七步：发起拉取请求（PR）\n🚀 将您的更改推送到您的 Fork，并在主仓库中发起 PR。包括：\n- 更改的**清晰标题**和**描述**。\n- 相关 Issue 的引用（例如 `fixes #123`）。\n- 任何额外的上下文或截图。\n\n我们的团队将审核您的 PR 并提供反馈。协作创造奇迹！✨\n\n### 保护分支和代码所有者审查\n\n当向保护分支（如 `main`）提交更改时，请注意以下要求：\n\n1. **需要代码所有者审查**\n   - PR 将自动请求相关代码所有者的审查\n   - 您不能批准自己的 PR\n   - 代码所有者的批准是必需的\n\n2. **需要多个批准**\n   - 至少需要 2 个批准（包括代码所有者的批准）\n   - 所有 CI 检查必须通过（lint、测试、构建等）\n\n3. **合并流程**\n   - 提交 PR 后，系统将自动请求代码所有者审查\n   - 需要至少两个批准（包括代码所有者）\n   - 只有在满足所有要求后，\"合并\"按钮才会变为可用\n\n4. **限制**\n   - 不能绕过审查或强制合并\n   - 不允许直接推送到保护分支\n   - 自我批准无效\n\n## 📖 改进文档\n\n优秀的文档是团队共同努力的结果！您可以通过以下方式帮助：\n- 修复拼写错误或澄清不清楚的部分。\n- 为功能或设置步骤添加缺失的文档。\n- 将文档翻译成其他语言。\n\n贡献步骤：\n1. 遵循与代码更改相同的步骤（Fork、克隆、分支等）。\n2. 编辑相关文档文件（例如 `README.md`、`docs/`）。\n3. 提交包含您改进的 PR。\n\n## ❓ 需要帮助？\n\n遇到困难或有疑问？我们随时为您提供帮助！通过以下方式联系我们：\n- **GitHub Issues**：新建一个 Issue 进行讨论。\n- **Discord**：加入我们的 [Nexent 社区](https://discord.gg/YXH5C8SQ) 进行实时聊天。\n- **电子邮件**：给我们发邮件至 [wanmingchen1@huawei.com](mailto:wanmingchen1@huawei.com)。\n\n## 🎉 庆祝您的贡献！\n\n感谢您参与 Nexent 的旅程。您的贡献意义重大，我们迫不及待想看看您创造的内容！编码愉快！🚀🌈\n"
  },
  {
    "path": "doc/docs/zh/contributors.md",
    "content": "# 核心贡献者\n\nNexent 项目得益于我们核心团队成员的辛勤工作。我们想感谢他们的贡献和专业知识。\n\n## Nexent 团队\n\n### 团队经理 / 产品经理\n- **Shuangrui Chen** @Phinease\n\n### 高级系统工程师\n- **Simeng Bian** @Simeng Bian\n- **Tao Liu** @liutao12138\n\n### 开发组组长\n- **Jingyuan Li** @ljy65535\n\n### 开发者\n- **Yichen Xia** @Jasonxia007\n- **Mingchen Wan** @WMC001\n- **Yu Lin** @linsensen222\n- **Wenqi Bai** @Bavichi\n- **Feiyang Xiang** @feixiangkong\n- **Peiling Jiang** @porkpink\n\n### SRE (站点可靠性工程师)\n- **Peiling Jiang** @porkpink\n\n### 运营经理\n- **Chenxue Jia** @Davina-jcx\n\n## 致谢\n\n我们向所有团队成员表示诚挚的感谢，感谢他们对卓越的承诺以及为将 Nexent 打造成强大可靠的 AI 智能体平台所做的贡献。\n\n每个团队成员都为项目带来了独特的专业知识和视角，为平台的不同方面做出贡献，包括：\n\n- 系统架构和工程\n- 产品管理和策略\n- 开发和实施\n- 运营和维护\n- 质量保证和测试\n\n## 开源贡献者\n\n我们想特别感谢以下开源贡献者，他们为 Nexent 项目做出了宝贵的贡献：\n\n- **kasper1995** - 代码贡献和错误修复\n- **feng384** - 代码贡献和错误修复\n- **Cokefish9527** - 代码贡献和错误修复\n- **lwsinclair** - 代码贡献和错误修复\n- **4cos90** - 代码贡献和错误修复\n- **xigongdaEricyang** - 代码\\Issue 贡献\n- **Jenniebn** - 代码\\Issue 贡献\n\n## 加入我们的团队\n\n如果您有兴趣为 Nexent 做出贡献，请查看我们的[贡献指南](/zh/contributing)了解更多参与方式。\n\n---\n\n*此列表代表我们的核心团队成员。如需查看所有贡献者的完整列表，请访问我们的 GitHub 仓库。* "
  },
  {
    "path": "doc/docs/zh/deployment/devcontainer.md",
    "content": "# Nexent Dev Container 使用指南\n\n## 1. 环境说明\n\n此开发容器配置了一个完整的 Nexent 开发环境，包含以下组件：\n\n- 主要开发容器 (`nexent-dev`)：基于 nexent/nexent 镜像，添加了开发工具\n- 服务容器：\n  - Elasticsearch (`nexent-elasticsearch`)\n  - PostgreSQL (`nexent-postgresql`)\n  - MinIO (`nexent-minio`)\n  - Nexent 后端 (`nexent`)\n  - Nexent 前端 (`nexent-web`)\n  - 数据处理服务 (`nexent-data-process`)\n\n## 2. 使用步骤\n\n### 2.1 准备工作\n\n1. 安装 Cursor\n02. 安装 Dev Containers 插件 (`anysphere.remote-containers` 与 `anysphere.remote-sshRemote`)\n3. 确保 Docker 和 Docker Compose 已安装并运行\n\n### 2.2 使用 Dev Container 启动项目\n\n1. 克隆项目到本地\n2. 在 Cursor 中打开项目文件夹\n3. 运行 `docker/deploy.sh` 脚本，在`infrastructure` 模式下启动容器\n4. 进入 `nexent-minio` 与 `nexent-elasticsearch` 容器, 将 `MINIO_ACCESS_KEY`, `MINIO_SECRET_KEY`, `ELASTICSEARCH_API_KEY` 环境变量复制到 `docker/docker-compose.dev.yml` 中的相应环境变量位置\n5. 按下 `F1` 或 `Ctrl+Shift+P`，输入 `Dev Containers: Reopen in Container ...`\n6. Cursor 将根据 `.devcontainer` 目录中的配置启动开发容器\n\n### 2.3 开发工作流\n\n1. 容器启动后，Cursor 会自动连接到开发容器\n2. 所有文件编辑都在容器内完成\n3. 进行开发、测试，修改完成后可以直接在容器内构建和运行\n4. 可以直接在容器内进行 git 的变更管理，如使用 `git commit` 或 `git push`；但不建议在容器内拉取远程代码，容易导致路径问题\n\n## 3. 端口映射\n\n以下端口已在 devcontainer.json 中配置了映射：\n\n- 3000: Nexent Web 界面\n- 5010: Nexent 后端服务\n- 5012: 数据处理服务\n- 9010: MinIO API\n- 9011: MinIO 控制台\n- 9210: Elasticsearch API\n- 5434: PostgreSQL\n\n## 4. 自定义开发环境\n\n您可以通过修改以下文件来自定义开发环境：\n\n- `.devcontainer/devcontainer.json` - 插件配置项\n- `docker/docker-compose.dev.yml` - 开发容器的具体构筑项，需要修改环境变量值才能正常启动\n\n## 6. 常见问题解决\n\n如果遇到权限问题，可能需要在容器内运行：\n\n```bash\nsudo chown -R $(id -u):$(id -g) /opt\n```\n\n如果容器启动失败，可以尝试：\n\n1. 重建容器：按下 `F1` 或 `Ctrl+Shift+P`，输入 `Dev Containers: Rebuild Container`\n2. 检查 Docker 日志：`docker logs nexent-dev`\n3. 检查 `.env` 文件中的配置是否正确"
  },
  {
    "path": "doc/docs/zh/deployment/docker-build.md",
    "content": "# Docker 构建指南\n\n这个文档介绍如何构建和推送 Nexent 的 Docker 镜像。\n\n## 🏗️ 构建和推送镜像\n\n```bash\n# 🛠️ 创建并使用支持多架构构建的新构建器实例\ndocker buildx create --name nexent_builder --use\n\n# 🚀 为多个架构构建应用程序\ndocker buildx build --progress=plain --platform linux/amd64,linux/arm64 -t nexent/nexent -f make/main/Dockerfile . --push\ndocker buildx build --progress=plain --platform linux/amd64,linux/arm64 -t ccr.ccs.tencentyun.com/nexent-hub/nexent -f make/web/Dockerfile . --push\n\n# 📊 为多个架构构建数据处理服务\ndocker buildx build --progress=plain --platform linux/amd64,linux/arm64 -t nexent/nexent-data-process -f make/data_process/Dockerfile . --push\ndocker buildx build --progress=plain --platform linux/amd64,linux/arm64 -t ccr.ccs.tencentyun.com/nexent-hub/nexent-data-process -f make/web/Dockerfile . --push\n\n# 🌐 为多个架构构建前端\ndocker buildx build --progress=plain --platform linux/amd64,linux/arm64 -t nexent/nexent-web -f make/web/Dockerfile . --push\ndocker buildx build --progress=plain --platform linux/amd64,linux/arm64 -t ccr.ccs.tencentyun.com/nexent-hub/nexent-web -f make/web/Dockerfile . --push\n\n# 📚 为多个架构构建文档\ndocker buildx build --progress=plain --platform linux/amd64,linux/arm64 -t nexent/nexent-docs -f make/docs/Dockerfile . --push\ndocker buildx build --progress=plain --platform linux/amd64,linux/arm64 -t ccr.ccs.tencentyun.com/nexent-hub/nexent-docs -f make/docs/Dockerfile . --push\n\n# 🔗 为多个架构构建 MCP Server\ndocker buildx build --progress=plain --platform linux/amd64,linux/arm64 -t nexent/nexent-mcp -f make/mcp/Dockerfile . --push\ndocker buildx build --progress=plain --platform linux/amd64,linux/arm64 -t ccr.ccs.tencentyun.com/nexent-hub/nexent-mcp -f make/mcp/Dockerfile . --push\n\n# 💻 为多个架构构建 Ubuntu Terminal\ndocker buildx build --progress=plain --platform linux/amd64,linux/arm64 -t nexent/nexent-terminal -f make/terminal/Dockerfile . --push\ndocker buildx build --progress=plain --platform linux/amd64,linux/arm64 -t ccr.ccs.tencentyun.com/nexent-hub/nexent-terminal -f make/terminal/Dockerfile . --push\n```\n\n## 💻 本地开发构建\n\n```bash\n# 🚀 构建应用程序镜像（仅当前架构）\ndocker build --progress=plain -t nexent/nexent -f make/main/Dockerfile .\n\n# 📊 构建数据处理镜像（仅当前架构）\ndocker build --progress=plain -t nexent/nexent-data-process -f make/data_process/Dockerfile .\n\n# 🌐 构建前端镜像（仅当前架构）\ndocker build --progress=plain -t nexent/nexent-web -f make/web/Dockerfile .\n\n# 📚 构建文档镜像（仅当前架构）\ndocker build --progress=plain -t nexent/nexent-docs -f make/docs/Dockerfile .\n\n# 🔗 构建 MCP Server 镜像（仅当前架构）\ndocker build --progress=plain -t nexent/nexent-mcp -f make/mcp/Dockerfile .\n\n# 💻 构建 OpenSSH Server 镜像（仅当前架构）\ndocker build --progress=plain -t nexent/nexent-ubuntu-terminal -f make/terminal/Dockerfile .\n```\n\n## 🔧 镜像说明\n\n### 主应用镜像 (nexent/nexent)\n- 包含后端 API 服务\n- 基于 `make/main/Dockerfile` 构建\n- 提供核心的智能体服务\n\n### 数据处理镜像 (nexent/nexent-data-process)\n- 包含数据处理服务\n- 基于 `make/data_process/Dockerfile` 构建\n- 处理文档解析和向量化\n\n### 前端镜像 (nexent/nexent-web)\n- 包含 Next.js 前端应用\n- 基于 `make/web/Dockerfile` 构建\n- 提供用户界面\n\n### 文档镜像 (nexent/nexent-docs)\n- 包含 Vitepress 文档站点\n- 基于 `make/docs/Dockerfile` 构建\n- 提供项目文档和 API 参考\n\n### MCP Server 镜像 (nexent/nexent-mcp)\n- 包含 MCP (Model Context Protocol) 代理服务\n- 基于 `make/mcp/Dockerfile` 构建\n- 为 AI 模型集成提供 MCP 服务器功能\n\n#### 预装工具和特性\n- **Python 环境**: Python 3.10 + pip\n- **MCP Proxy**: mcp-proxy 包用于协议处理\n- **Node.js**: Node.js 20.17.0 包含 npm\n- **架构支持**: linux/amd64, linux/arm64\n- **基础镜像**: python:3.10-slim\n\n### OpenSSH Server 镜像 (nexent/nexent-ubuntu-terminal)\n- 基于 Ubuntu 24.04 的 SSH 服务器容器\n- 基于 `make/terminal/Dockerfile` 构建\n- 预装 Conda、Python、Git 等开发工具\n- 支持 SSH 密钥认证，用户名为 `linuxserver.io`\n- 提供完整的开发环境\n\n#### 预装工具和特性\n- **Python 环境**: Python 3 + pip + virtualenv\n- **Conda 管理**: Miniconda3 环境管理\n- **开发工具**: Git、Vim、Nano、Curl、Wget\n- **构建工具**: build-essential、Make\n- **SSH 服务**: 端口 2222，禁用 root 登录和密码认证\n- **用户权限**: `linuxserver.io` 用户具有 sudo 权限（无需密码）\n- **时区设置**: Asia/Shanghai\n- **安全配置**: SSH 密钥认证，会话超时 60 分钟\n\n## 🏷️ 标签策略\n\n每个镜像都会推送到两个仓库：\n- `nexent/*` - 主要的公共镜像仓库\n- `ccr.ccs.tencentyun.com/nexent-hub/*` - 腾讯云镜像仓库（中国地区加速）\n\n所有镜像包括：\n- `nexent/nexent` - 主应用后端服务\n- `nexent/nexent-data-process` - 数据处理服务\n- `nexent/nexent-web` - Next.js 前端应用\n- `nexent/nexent-docs` - Vitepress 文档站点\n- `nexent/nexent-mcp` - MCP 服务器代理服务\n- `nexent/nexent-ubuntu-terminal` - OpenSSH 开发服务器容器\n\n## 📚 文档镜像独立部署\n\n文档镜像可以独立构建和运行，用于为 nexent.tech/doc 提供服务：\n\n### 构建文档镜像\n\n```bash\ndocker build -t nexent/nexent-docs -f make/docs/Dockerfile .\n```\n\n### 运行文档容器\n\n```bash\ndocker run -d --name nexent-docs -p 4173:4173 nexent/nexent-docs\n```\n\n### 查看容器状态\n\n```bash\ndocker ps\n```\n\n### 查看容器日志\n\n```bash\ndocker logs nexent-docs\n```\n\n### 停止和删除容器\n\n```bash\ndocker stop nexent-docs\n```\n\n```bash\ndocker rm nexent-docs\n```\n\n## 🚀 部署建议\n\n构建完成后，可以使用 `docker/deploy.sh` 脚本进行部署，或者直接使用 `docker-compose` 启动服务。\n\n> 启动测试本地构建的镜像时，需要修改下`docker/deploy.sh`中的`APP_VERSION=\"$(get_app_version)\"` -> `APP_VERSION=\"latest\"`，因为部署时默认会使用当前版本对应的镜像。"
  },
  {
    "path": "doc/docs/zh/developer-guide/environment-setup.md",
    "content": "---\ntitle: 环境准备\n---\n\n# 环境准备\n\n本指南拆分了全栈开发与仅使用 SDK 的两类场景，按需选择路径完成环境准备。\n\n## 🧱 通用要求\n\n- Python 3.10+\n- Node.js 18+\n- Docker & Docker Compose\n- uv（Python 包管理器）\n- pnpm（Node.js 包管理器）\n\n## 🧑‍💻 全栈 Nexent 开发\n\n### ⚙️ 基础设施部署\n\n先启动数据库、缓存、向量库、存储等核心服务。\n\n```bash\n# 在项目根目录的 docker 目录执行\ncd docker\n./deploy.sh --mode infrastructure\n```\n\n:::: info 重要提示\n基础设施模式会启动 PostgreSQL、Redis、Elasticsearch、MinIO，并在项目根生成 `.env`（包含生成的密钥与本地地址）。所有服务默认指向 localhost 便于本地开发。\n::::\n\n### 🐍 后端依赖\n\n```bash\ncd backend\nuv sync --all-extras\nuv pip install ../sdk\n```\n\n:::: tip 说明\n`--all-extras` 安装所有可选依赖（数据处理、测试等），随后安装本地 SDK 包。\n::::\n\n#### 可选：镜像加速\n\n```bash\n# 清华源\nuv sync --all-extras --default-index https://pypi.tuna.tsinghua.edu.cn/simple\nuv pip install ../sdk --default-index https://pypi.tuna.tsinghua.edu.cn/simple\n\n# 阿里云\nuv sync --all-extras --default-index https://mirrors.aliyun.com/pypi/simple/\nuv pip install ../sdk --default-index https://mirrors.aliyun.com/pypi/simple/\n\n# 多源（推荐）\nuv sync --all-extras --index https://pypi.tuna.tsinghua.edu.cn/simple --index https://mirrors.aliyun.com/pypi/simple/\nuv pip install ../sdk --index https://pypi.tuna.tsinghua.edu.cn/simple --index https://mirrors.aliyun.com/pypi/simple/\n```\n\n:::: info 镜像参考\n- 清华：`https://pypi.tuna.tsinghua.edu.cn/simple`\n- 阿里：`https://mirrors.aliyun.com/pypi/simple/`\n- 中科大：`https://pypi.mirrors.ustc.edu.cn/simple/`\n- 豆瓣：`https://pypi.douban.com/simple/`\n多源组合可提升成功率。\n::::\n\n### ⚛️ 前端依赖\n\n```bash\ncd frontend\npnpm install\npnpm dev\n```\n\n### 🏃 服务启动\n\n先激活后端虚拟环境：\n\n```bash\ncd backend\nsource .venv/bin/activate\n```\n\n:::: warning 提示\nWindows 请使用 `source .venv/Scripts/activate`。\n::::\n\n在项目根依次启动核心服务：\n\n```bash\nsource .env && python backend/mcp_service.py\nsource .env && python backend/data_process_service.py\nsource .env && python backend/config_service.py\nsource .env && python backend/runtime_service.py\n```\n\n:::: warning 提示\n需在项目根执行，并先 `source .env`。确保数据库、Redis、Elasticsearch、MinIO 已就绪。\n::::\n\n## 🧰 仅使用 SDK\n\n若只需 SDK 而不运行全栈，可直接安装。\n\n### 源码安装\n\n```bash\ngit clone https://github.com/ModelEngine-Group/nexent.git\ncd nexent/sdk\nuv pip install -e .\n```\n\n### 使用 uv 安装\n\n```bash\nuv add nexent\n```\n\n### 开发者安装（含工具链）\n\n```bash\ncd nexent/sdk\nuv pip install -e \".[dev]\"\n```\n\n包含：\n\n- 代码质量工具（ruff）\n- 测试框架（pytest）\n- 数据处理依赖（unstructured）\n- 其他开发辅助依赖\n\n"
  },
  {
    "path": "doc/docs/zh/developer-guide/overview.md",
    "content": "# Nexent 开发指南\n\n本指南为开发者提供全面的信息，帮助理解并参与 Nexent 项目，涵盖架构、技术栈、开发环境搭建和最佳实践。\n\n## 🏗️ 整体架构\n\n```\nnexent/\n├── frontend/          # 前端应用 (Next.js + TypeScript)\n├── backend/           # 后端服务 (FastAPI + Python)\n├── sdk/              # Python SDK\n├── docker/           # Docker 部署配置\n├── make/             # 构建脚本\n├── test/             # 测试代码\n└── assets/           # 静态资源\n```\n\n## 🛠️ 技术栈\n\n### 前端技术栈\n- **框架**: Next.js 14 (App Router)\n- **语言**: TypeScript\n- **UI库**: React + Tailwind CSS\n- **状态管理**: React Hooks\n- **国际化**: react-i18next\n- **HTTP客户端**: Fetch API\n\n### 后端技术栈\n- **框架**: FastAPI\n- **语言**: Python 3.10+\n- **数据库**: PostgreSQL + Redis + Elasticsearch\n- **文件存储**: MinIO\n- **任务队列**: Celery + Ray\n- **AI框架**: smolagents\n- **向量数据库**: Elasticsearch\n\n### 部署技术栈\n- **容器化**: Docker + Docker Compose\n- **反向代理**: Nginx\n- **监控**: 内置健康检查\n- **日志**: 结构化日志\n\n## 🧱 环境准备\n\n环境相关步骤已迁移至独立的 [环境准备](./environment-setup) 指南，涵盖：\n\n- 通用依赖与前置条件\n- 全栈 Nexent 搭建（基础设施、后端、前端、运行服务）\n- 仅使用 SDK 的安装路径\n\n请先完成该指南，再回到此页继续模块开发。\n\n\n## 🔧 开发模块指南\n\n### 🎨 前端开发\n- **技术栈**: Next.js 14 + TypeScript + React + Tailwind CSS\n- **核心功能**: 用户界面、实时聊天、配置管理、国际化\n- **详细信息**: 查看 [前端概览](../frontend/overview)\n\n### 🔧 后端开发  \n- **技术栈**: FastAPI + Python 3.10+ + PostgreSQL + Redis + Elasticsearch\n- **核心功能**: API服务、智能体管理、数据处理、向量搜索\n- **详细信息**: 查看 [后端概览](../backend/overview)\n\n### 🤖 AI 智能体开发\n- **框架**: 基于 smolagents 的企业级智能体框架\n- **核心功能**: 智能体创建、工具集成、推理执行、多模态支持\n- **自定义智能体**: 查看 [智能体模块](../sdk/core/agents)\n- **系统提示词**: 位于 `backend/prompts/`\n- **实现步骤**: 创建实例 → 配置工具 → 设置提示词 → 测试运行\n- **详细信息**: 查看 [智能体模块](../sdk/core/agents)\n\n### 🛠️ 工具开发\n- **MCP 工具系统**: 基于 Model Context Protocol\n- **开发流程**: 实现逻辑 → 注册工具 → 重启服务\n- **协议遵循**: 工具开发需遵循 MCP 协议\n- **详细规范**: 查看 [工具开发指南](../sdk/core/tools)\n\n### 📦 SDK 开发工具包\n- **功能**: 提供完整的AI代理、模型调用、工具集成接口\n- **模块**: 核心代理、数据处理、向量数据库\n- **详细信息**: 查看 [SDK 概览](../sdk/overview)\n\n### 📊 数据处理\n- **文件处理**: 支持 20+ 种格式\n- **分块策略**: basic、by_title、none\n- **流式处理**: 大文件内存优化\n- **详细信息**: 查看 [数据处理指南](../sdk/data-process)\n\n## 🏗️ 构建与部署\n\n### Docker 构建\n详细的构建指南请参考 [Docker 构建指南](../deployment/docker-build)\n\n## 📋 开发最佳实践与注意事项\n\n### 代码质量\n1. **测试驱动**: 编写单元测试和集成测试\n2. **代码审查**: 遵循团队代码规范\n3. **文档更新**: 及时更新相关文档\n4. **错误处理**: 完善的异常处理和日志记录\n\n### 性能优化\n1. **异步处理**: 使用异步架构提升性能\n2. **缓存策略**: 合理使用缓存机制\n3. **资源管理**: 注意内存和连接池管理\n4. **监控调试**: 使用性能监控工具\n\n### 安全考虑\n1. **输入验证**: 严格验证所有输入参数\n2. **权限控制**: 实现适当的访问控制\n3. **敏感信息**: 妥善处理API密钥等敏感数据\n4. **安全更新**: 定期更新依赖和安全补丁\n\n### 重要开发注意事项\n1. **服务依赖**: 确保所有服务都已启动后再测试\n2. **代码修改**: 修改代码后需重启相关服务\n3. **开发模式**: 开发环境建议用调试模式\n4. **提示词测试**: 系统提示词需充分测试\n5. **环境变量**: 确保 `.env` 文件中的配置正确\n6. **基础设施**: 开发前确保基础设施服务正常运行\n\n## 💡 获取帮助\n\n### 文档资源\n- [安装部署](../quick-start/installation) - 环境搭建和部署\n- [常见问题](../quick-start/faq) - 常见问题解答\n- [用户指南](../user-guide/home-page) - Nexent使用指南\n\n### 社区支持\n- [Discord 社区](https://discord.gg/tb5H3S3wyv) - 实时交流和支持\n- [GitHub Issues](https://github.com/ModelEngine-Group/nexent/issues) - 问题报告和功能请求\n"
  },
  {
    "path": "doc/docs/zh/docs-development.md",
    "content": "# 文档开发指南\n\n## 📘 简介\n我们使用 VitePress 进行文档的开发与管理，统一组织中英文内容、侧边栏与导航配置，支持本地开发预览与构建发布。本文档指导你如何在本项目中新增、编辑与校验文档。\n\n## 🗂️ 目录结构\n```text\n/doc\n  ├─ package.json\n  └─ docs\n      ├─ .vitepress\n      │   └─ config.mts        # 站点与侧边栏配置\n      ├─ zh                    # 中文文档目录\n      ├─ en                    # 英文文档目录\n      ├─ assets                # 站点资源\n      ├─ public                # 公共静态资源\n      └─ index.md\n```\n\n## 📦 安装依赖\n在 `doc` 目录下执行：\n\n```bash\npnpm install\n```\n\n## 💻 本地开发\n启动本地开发服务器：\n\n```bash\npnpm vitepress dev docs\n```\n\n启动成功后，请通过以下地址访问：\n\n- `http://localhost:5173/`\n\n## ✍️ 新增与编辑文档\n- 中文文档放在 `doc/docs/zh`，英文文档放在 `doc/docs/en`。\n- 文件命名建议使用小写短横线（kebab-case），例如：`getting-started.md`。\n- 页面路径与文件路径一一对应，例如：\n  - `doc/docs/zh/foo/bar.md` 将通过 `/zh/foo/bar` 访问；\n  - `doc/docs/en/foo/bar.md` 将通过 `/en/foo/bar` 访问。\n\n## 🧭 配置侧边栏与导航\n- 侧边栏配置位于 `doc/docs/.vitepress/config.mts`。\n- 若新增页面，请在对应语言的 `sidebar` 中添加链接项，注意与文件路径一致。\n\n## 🖼️ 使用资源\n- 推荐将公共图片放到 `doc/docs/public`，通过绝对路径引用，例如：`/images/logo.png`。\n- 也可以将与页面紧密相关的资源放入同级目录，并使用相对路径引用。\n\n## ✅ 构建与校验\n在正式提交前请进行构建，以检查死链（dead links）等问题：\n\n```bash\npnpm run docs:build\n```\n\n构建成功后可本地预览：\n\n```bash\npnpm run docs:preview\n```\n"
  },
  {
    "path": "doc/docs/zh/frontend/overview.md",
    "content": "# 前端架构概览\n\nNexent 的前端采用现代 React 技术构建，为 AI 智能体交互提供响应式和直观的用户界面。\n\n## 技术栈\n\n- **框架**: Next.js 14 (App Router)\n- **语言**: TypeScript\n- **UI库**: React + Tailwind CSS\n- **状态管理**: React Hooks\n- **国际化**: react-i18next\n- **HTTP客户端**: Fetch API\n\n## 目录结构\n\n```\nfrontend/\n├── app/                          # Next.js App Router\n│   └── [locale]/                 # 国际化路由 (zh/en)\n│       ├── chat/                 # 聊天界面\n│       │   ├── internal/         # 聊天核心逻辑\n│       │   ├── layout/           # 聊天界面布局组件\n│       │   └── streaming/        # 流式响应处理\n│       ├── setup/                # 系统设置页面\n│       │   ├── agentSetup/       # 代理配置\n│       │   ├── knowledgeBaseSetup/ # 知识库配置\n│       │   └── modelSetup/       # 模型配置\n│       └── layout.tsx            # 全局布局\n├── components/                    # 可复用UI组件\n│   ├── providers/                # 上下文提供者\n│   └── ui/                       # 基础UI组件库\n├── services/                     # API服务层\n│   ├── api.ts                    # API基础配置\n│   ├── conversationService.ts    # 对话服务\n│   ├── agentConfigService.ts     # 代理配置服务\n│   ├── knowledgeBaseService.ts   # 知识库服务\n│   └── modelService.ts           # 模型服务\n├── hooks/                        # 自定义React Hooks\n├── lib/                          # 工具库\n├── types/                        # TypeScript类型定义\n├── public/                       # 静态资源\n│   └── locales/                  # 国际化文件\n└── middleware.ts                 # Next.js中间件\n```\n\n## 架构职责\n\n### **展示层**\n- 用户界面和交互逻辑\n- 基于组件的可复用架构\n- 多设备响应式设计\n\n### **服务层**\n- 封装API调用和数据转换\n- 处理与后端服务的通信\n- 管理错误处理和重试逻辑\n\n### **状态管理**\n- 使用React Hooks管理组件状态\n- Context提供者管理全局状态\n- 流式响应的实时更新\n\n### **国际化**\n- 支持中英文语言切换\n- 动态语言切换\n- 本地化内容和UI元素\n\n### **路由管理**\n- 基于Next.js App Router\n- 语言感知路由\n- 动态路由生成\n\n## 核心特性\n\n### 实时聊天界面\n- 流式响应处理\n- 消息历史管理\n- 多模态输入支持（文本、语音、图像）\n\n### 配置管理\n- 模型提供商配置\n- 智能体行为自定义\n- 知识库管理\n\n### 响应式设计\n- 移动优先方法\n- 自适应布局\n- 触摸友好交互\n\n### 性能优化\n- 服务器端渲染 (SSR)\n- 静态站点生成 (SSG)\n- 代码分割和懒加载\n- 图像优化\n\n## 开发工作流\n\n### 设置\n```bash\ncd frontend\nnpm install\nnpm run dev\n```\n\n### 生产构建\n```bash\nnpm run build\nnpm start\n```\n\n### 代码质量\n- ESLint 代码检查\n- Prettier 代码格式化\n- TypeScript 类型安全\n- Husky 预提交钩子\n\n## 集成点\n\n### 后端通信\n- RESTful API 调用\n- WebSocket 实时功能\n- 身份验证和授权\n- 错误处理和用户反馈\n\n### 外部服务\n- 模型提供商 API\n- 文件上传和管理\n- 语音处理集成\n- 分析和监控\n\n详细的开发指南和组件文档，请参阅 [开发者指南](../developer-guide/overview)。"
  },
  {
    "path": "doc/docs/zh/getting-started/features.md",
    "content": "# 核心特性\n\nNexent 提供强大的功能来构建和部署 AI 智能体，只需最少的工作量。以下是让 Nexent 独特的核心特性。\n\n## 🧠 智能体提示词生成\n\n将自然语言转换为可执行的提示词。Nexent 自动选择正确的工具并为每个请求规划最佳的执行路径。\n\n![特性 1](../../assets/Feature1.png)\n\n## ⚡ 可扩展的数据处理引擎\n\n处理 20+ 种数据格式，具备快速 OCR 和表格结构提取能力，从单一流程平滑扩展到大批量管道处理。\n\n![特性 2](../../assets/Feature2.png)\n\n## 📚 个人级知识库\n\n实时导入文件，自动总结内容，让智能体能够即时访问个人和全局知识，并知道从每个知识库能获取什么。\n\n![特性 3](../../assets/Feature3.png)\n\n## 🌐 互联网知识搜索\n\n连接 5+ 个网络搜索提供商，让智能体能够将最新的互联网信息与你的私有数据相结合。\n\n![特性 4](../../assets/Feature4.png)\n\n## 🔍 知识级溯源\n\n提供来自网络和知识库来源的精确引用，让每个事实都可验证。\n\n![特性 5](../../assets/Feature5.png)\n\n## 🎭 多模态理解与对话\n\n支持语音、文字、文件或图像输入。Nexent 理解语音、文本和图片，甚至可以按需生成新图像。\n\n![特性 6](../../assets/Feature6.png)\n\n## 🔧 MCP 工具生态系统\n\n插入或构建遵循 MCP 规范的 Python 插件；在不触及核心代码的情况下交换模型、工具和链。\n\n![特性 7](../../assets/Feature7.png)\n"
  },
  {
    "path": "doc/docs/zh/getting-started/overview.md",
    "content": "# Nexent\n\nNexent 是一个零代码智能体自动生成平台 —— 无需编排，无需复杂的拖拉拽操作，使用纯语言开发你想要的任何智能体。基于MCP生态，具备丰富的工具集成，同时提供多种自带智能体，满足你的工作、旅行、生活等不同场景的智能服务需要。Nexent 还提供强大的智能体运行控制、多智能体协作、数据处理和知识溯源、多模态对话、批量扩展能力。\n\n> 一个提示词，无限种可能。\n\n![Nexent Banner](../../assets/NexentBanner.png)\n\n## 🎬 Demo 视频\n\n<video controls width=\"100%\" style=\"max-width: 800px;\">\n  <source src=\"https://github.com/user-attachments/assets/b844e05d-5277-4509-9463-1c5b3516f11e\" type=\"video/mp4\" />\n  <p>您的浏览器不支持视频标签。<a href=\"https://github.com/user-attachments/assets/b844e05d-5277-4509-9463-1c5b3516f11e\">查看演示视频</a></p>\n</video>\n\n## 🤝 加入我们的社区\n\n> *If you want to go fast, go alone; if you want to go far, go together.*\n\n我们已经发布了 **Nexent v1**，目前功能已经相对稳定，但仍可能存在一些 bug，我们会持续改进并不断增加新功能。敬请期待，我们很快也会公布 **v2.0** 版本！\n\n* **🗺️ 查看我们的 [功能地图](https://github.com/orgs/ModelEngine-Group/projects/6)** 探索当前和即将推出的功能。\n* **🔍 试用当前版本** 并在 [问题反馈](https://github.com/ModelEngine-Group/nexent/issues) 中留下想法或报告错误。\n\n> *Rome wasn't built in a day.*\n\n如果我们的愿景与您产生共鸣，请通过 **[贡献指南](../contributing)** 加入我们，共同塑造 Nexent。\n\n早期贡献者不会被忽视：从特殊徽章和纪念品到其他实质性奖励，我们致力于感谢那些帮助 Nexent 诞生的先驱者。\n\n最重要的是，我们需要关注度。请 [前往GitHub](https://github.com/ModelEngine-Group/nexent) 为我们点星 ⭐ 并关注，与朋友分享，帮助更多开发者发现 Nexent —— 您的每一次点击都能为项目带来新的参与者，保持发展势头。\n\n## ✨ 核心特性\n\nNexent 为构建强大的 AI 智能体提供全面的功能集：\n\n- **🤖 智能体生成** - 使用自然语言进行零代码智能体创建\n- **📊 可扩展数据处理** - 处理 20+ 种文件格式和智能提取\n- **🧠 个人知识库** - 实时文件导入和自动摘要\n- **🌐 互联网集成** - 连接多个搜索提供商和网络资源\n- **🔍 知识溯源** - 精确引用和来源验证\n- **🎭 多模态支持** - 语音、文本、图像和文件处理\n- **🔧 MCP 生态系统** - 可扩展的工具集成和自定义开发\n\n有关详细的功能信息和示例，请参阅我们的 **[核心特性](./features)**。\n\n## 🏗️ 软件架构\n\nNexent 采用现代化的分布式微服务架构，专为高性能、可扩展的 AI 智能体平台而设计。整个系统基于容器化部署，支持云原生和企业级应用场景。\n\n### 🌐 分层架构设计\n- **前端层** - Next.js + React + TypeScript 构建的现代化用户界面\n- **API 网关层** - FastAPI 高性能 Web 框架，负责请求路由和负载均衡\n- **业务逻辑层** - 智能体管理、对话管理、知识库管理和模型管理\n- **数据层** - PostgreSQL、Elasticsearch、Redis、MinIO 分布式存储架构\n\n### 🚀 核心服务架构\n- **智能体服务** - 基于 SmolAgents 框架的智能体生成和执行\n- **数据处理服务** - 支持 20+ 种文件格式的实时和批量处理\n- **MCP 生态系统** - 标准化的工具接口和插件架构\n\n### ⚡ 分布式特性\n- **异步处理** - 基于 asyncio 的高性能异步处理架构\n- **微服务设计** - 服务解耦，独立扩展和部署\n- **容器化部署** - Docker Compose 服务编排，支持云原生部署\n\n有关详细的架构设计和技术实现，请参阅我们的 **[软件架构](./software-architecture)**。\n\n## ⚡ 快速开始\n\n准备好开始了吗？以下是您的下一步：\n\n1. **📋 [安装部署](../quick-start/installation)** - 系统要求和部署指南\n2. **🔧 [开发者指南](../developer-guide/overview)** - 从源码构建和自定义\n3. **❓ [常见问题](../quick-start/faq)** - 常见问题和故障排除\n\n## 💬 社区与联系方式\n\n加入我们的 [Discord 社区](https://discord.gg/tb5H3S3wyv) 与其他开发者交流并获取帮助！\n\n## 📄 许可证\n\nNexent 采用 [MIT](../license) 许可证，并附有额外条件。请阅读 [LICENSE](../license) 文件了解详情。"
  },
  {
    "path": "doc/docs/zh/getting-started/software-architecture.md",
    "content": "# 软件架构\n\nNexent 采用现代化的分布式微服务架构，旨在提供高性能、可扩展的 AI 智能体平台。整个系统基于容器化部署，支持云原生和企业级应用场景。\n\n![软件架构图](../../assets/architecture_zh.png)\n\n## 🏗️ 整体架构设计\n\nNexent 的软件架构遵循分层设计原则，从上到下分为以下几个核心层次：\n\n### 🌐 前端层（Frontend Layer）\n- **技术栈**：Next.js + React + TypeScript\n- **功能**：用户界面、智能体交互、多模态输入处理\n- **特性**：响应式设计、实时通信、国际化支持\n\n### 🔌 API 网关层（API Gateway Layer）\n- **核心服务**：FastAPI 高性能 Web 框架\n- **职责**：请求路由、身份验证、API 版本管理、负载均衡\n- **端口**：5010（主服务）、5012（数据处理服务）\n\n### 🧠 业务逻辑层（Business Logic Layer）\n- **智能体管理**：智能体生成、执行、监控\n- **会话管理**：多轮对话、上下文维护、历史记录\n- **知识库管理**：文档处理、向量化、检索\n- **模型管理**：多模型支持、健康检查、负载均衡\n\n### 📊 数据层（Data Layer）\n分布式数据存储架构，包含多种专用数据库：\n\n#### 🗄️ 结构化数据存储\n- **PostgreSQL**：主数据库，存储用户信息、智能体配置、会话记录\n- **端口**：5434\n- **特性**：ACID 事务、关系型数据完整性\n\n#### 🔍 搜索引擎\n- **Elasticsearch**：向量数据库和全文搜索引擎\n- **端口**：9210\n- **功能**：向量相似度搜索、混合搜索、大规模优化\n\n#### 💾 缓存层\n- **Redis**：高性能内存数据库\n- **端口**：6379\n- **用途**：会话缓存、临时数据、分布式锁\n\n#### 📁 对象存储\n- **MinIO**：分布式对象存储服务\n- **端口**：9010\n- **功能**：文件存储、多媒体资源管理、大文件处理\n\n## 🔧 核心服务架构\n\n### 🤖 智能体服务（Agent Services）\n```\n智能体框架基于 SmolAgents，提供：\n├── 智能体生成与配置\n├── 工具调用与集成\n├── 推理与决策执行\n└── 生命周期管理\n```\n\n### 📈 数据处理服务（Data Processing Services）\n```\n分布式数据处理架构：\n├── 实时文档处理（20+ 格式支持）\n├── 批量数据处理管道\n├── OCR 与表格结构提取\n└── 向量化与索引构建\n```\n\n### 🌐 MCP 生态系统（MCP Ecosystem）\n```\n模型上下文协议工具集成：\n├── 标准化工具接口\n├── 插件化架构\n├── 第三方服务集成\n└── 自定义工具开发\n```\n\n## 🚀 分布式架构特性\n\n### ⚡ 异步处理架构\n- **基础框架**：基于 asyncio 的高性能异步处理\n- **并发控制**：线程安全的并发处理机制\n- **任务队列**：Celery + Ray 分布式任务执行\n- **流式处理**：实时数据流和响应流处理\n\n### 🔄 微服务设计\n```\n服务拆分策略：\n├── nexent（主服务）- 智能体核心逻辑\n├── nexent-data-process（数据处理）- 文档处理管道\n├── nexent-mcp-service（MCP服务）- 工具协议服务\n└── 可选服务（SSH、监控等）\n```\n\n### 🌍 容器化部署\n```\nDocker Compose 服务编排：\n├── 应用服务容器化\n├── 数据库服务隔离\n├── 网络层安全配置\n└── 卷挂载数据持久化\n```\n\n## 🔐 安全与扩展性\n\n### 🛡️ 安全架构\n- **身份验证**：多租户支持、用户权限管理\n- **数据安全**：端到端加密、安全传输协议\n- **网络安全**：服务间安全通信、防火墙配置\n\n### 📈 可扩展性设计\n- **水平扩展**：微服务独立扩展、负载均衡\n- **垂直扩展**：资源池管理、智能调度\n- **存储扩展**：分布式存储、数据分片\n\n### 🔧 模块化架构\n- **松耦合设计**：服务间低依赖、接口标准化\n- **插件化架构**：工具和模型的热插拔\n- **配置管理**：环境隔离、动态配置更新\n\n## 🔄 数据流架构\n\n### 📥 用户请求流\n```\n用户输入 → 前端验证 → API网关 → 路由分发 → 业务服务 → 数据访问 → 数据库\n```\n\n### 🤖 智能体执行流\n```\n用户消息 → 智能体创建 → 工具调用 → 模型推理 → 流式响应 → 结果存储\n```\n\n### 📚 知识库处理流\n```\n文件上传 → 临时存储 → 数据处理 → 向量化 → 知识库存储 → 索引更新\n```\n\n### ⚡ 实时处理流\n```\n实时输入 → 即时处理 → 智能体响应 → 流式输出\n```\n\n## 🎯 架构优势\n\n### 🏢 企业级特性\n- **高可用性**：多层冗余、故障转移\n- **高性能**：异步处理、智能缓存\n- **高并发**：分布式架构、负载均衡\n- **监控友好**：完善的日志和状态监控\n\n### 🔧 开发友好\n- **模块化开发**：清晰的层次结构\n- **标准化接口**：统一的 API 设计\n- **灵活配置**：环境适配、功能开关\n- **易于测试**：单元测试、集成测试支持\n\n### 🌱 生态兼容\n- **MCP 标准**：遵循模型上下文协议\n- **开源生态**：集成丰富的开源工具\n- **云原生**：支持 Kubernetes、Docker 部署\n- **多模型支持**：兼容主流 AI 模型提供商\n\n---\n\n这种架构设计确保了 Nexent 能够在保持高性能的同时，为用户提供稳定、可扩展的 AI 智能体服务平台。无论是个人用户还是企业级部署，都能够获得优秀的使用体验和技术保障。"
  },
  {
    "path": "doc/docs/zh/license.md",
    "content": "# 许可证\n\nNexent 基于 MIT 许可证，并附加额外条件。此许可证允许开源和商业使用，但对某些使用场景包含特定限制。\n\n如有任何法律问题或商业许可咨询，请联系官方许可团队。\n\n## 完整许可证文本\n\n```\n# Nexent Open Source License\n\nNexent is licensed under the MIT License, with the following additional conditions:\n\nNexent is permitted to be used commercially, including as a backend service for other applications or as an application development platform for enterprises. However, when the following conditions are met, you must contact the producer to obtain a commercial license:\n\na. Multi-tenant SaaS service: Unless explicitly authorized by Nexent in writing, you may not use the Nexent source code to operate a multi-tenant SaaS service.\nb. LOGO and copyright information: In the process of using Nexent's frontend, you may not remove or modify the LOGO or copyright information in the Nexent console or applications. This restriction is inapplicable to uses of Nexent that do not involve its frontend.\n\nPlease contact zhenggaoqi@huawei.com by email to inquire about licensing matters.\n\nAs a contributor, you should agree that:\n\na. The producer can adjust the open-source agreement to be more strict or relaxed as deemed necessary.\nb. Your contributed code may be used for commercial purposes, such as Nexent's cloud business.\n\nApart from the specific conditions mentioned above, all other rights and restrictions follow the MIT License.\nDetailed information about the MIT License can be found at: https://opensource.org/licenses/MIT\n\nCopyright © 2025 Huawei Technologies Co., Ltd.\n```\n\n## 联系信息\n\n许可证咨询：\n- **邮箱**: zhenggaoqi@huawei.com\n- **MIT 许可证详情**: https://opensource.org/licenses/MIT\n\n请确保在项目中使用 Nexent 之前理解并遵守所有许可证条款。"
  },
  {
    "path": "doc/docs/zh/mcp-ecosystem/mcp-recommendations.md",
    "content": "# MCP 推荐\n\n本页面为您精选推荐 MCP 平台和工具，帮助您快速发现高质量的 MCP 服务。\n\n## 🌐 MCP 社区中心\n\n全球 MCP 生态系统正在蓬勃发展，多个平台支持 MCP 开发和部署：\n\n| 平台 | 描述 | 备注 |\n|----------|-------------|-------|\n| **[GitHub MCP Server](https://github.com/github/github-mcp-server)** | 与 Claude、GPT-4、Copilot 等深度集成，支持 Go 和 Python | OAuth/GitHub 账户授权 |\n| **[Qdrant MCP Vector Server](https://github.com/qdrant/mcp-server-qdrant)** | 语义向量存储，Python/Go 兼容 | 与 LangChain 和其他工具兼容 |\n| **[Anthropic Reference MCP Servers](https://github.com/modelcontextprotocol/servers)** | 轻量级教学和原型工具，Python | 包括 fetch、git 和其他通用工具 |\n| **[AWS Labs MCP Server](https://github.com/awslabs/mcp)** | AWS+Go+CDK 云参考服务 | 适用于云环境 |\n| **[MCP Hub China](https://www.mcp-cn.com/)** | 中文精选高质量 MCP 服务平台 | 注重质量而非数量，社区驱动 |\n| **[ModelScope MCP Marketplace](https://modelscope.cn/mcp)** | 中国最大的 MCP 社区，拥有 1,500+ 服务 | 从高德地图到支付宝，全面的服务覆盖 |\n| **社区 MCP 服务器** | 各种特定场景的源代码集合 | 主要是实验性和创新工具 |\n\n## 🔧 推荐的 MCP 工具\n\n| 工具名称 | 功能 | 描述 |\n|-----------|----------|-------------|\n| **[高德地图](https://modelscope.cn/mcp/servers/@amap/amap-maps)** | 地理服务和导航 | 综合地图、地理编码、路由和位置服务 |\n| **[必应搜索（中文）](https://modelscope.cn/mcp/servers/@yan5236/bing-cn-mcp-server)** | 中文网络搜索 | 优化的中文网络搜索和信息检索 |\n| **[12306 火车票查询](https://modelscope.cn/mcp/servers/@Joooook/12306-mcp)** | 中国铁路票务预订 | 实时列车时刻表、票务可用性和预订协助 |\n| **[支付宝 MCP](https://modelscope.cn/mcp/servers/@alipay/mcp-server-alipay)** | 支付和金融服务 | 数字支付、金融工具和服务集成 |\n| **[飞常准航空](https://modelscope.cn/mcp/servers/@variflight-ai/variflight-mcp)** | 航班信息和航空数据 | 实时航班跟踪、时刻表和航空分析 |\n| **[顺序思考](https://modelscope.cn/mcp/servers/@modelcontextprotocol/sequentialthinking)** | 结构化问题解决框架 | 将复杂问题分解为可管理的顺序步骤 |\n| **[ArXiv AI 搜索](https://modelscope.cn/mcp/servers/@blazickjp/arxiv-mcp-server)** | 学术论文搜索和研究 | 高级搜索和检索科学论文和研究 |\n| **[Firecrawl MCP 服务器](https://modelscope.cn/mcp/servers/@mendableai/firecrawl-mcp-server)** | 网络爬虫和内容提取 | 智能网络爬虫、数据提取和内容处理 |\n\n## 🔗 相关资源\n\n- [MCP 生态系统概览](./overview)\n- [MCP 工具集成指南](../backend/tools/mcp)\n- [用例场景](./use-cases)\n"
  },
  {
    "path": "doc/docs/zh/mcp-ecosystem/overview.md",
    "content": "# MCP 工具生态系统\n\nNexent 基于模型上下文协议（MCP）工具生态系统构建，提供灵活且可扩展的框架来集成各种工具和服务。MCP 作为\"AI 的 USB-C\"——一个通用接口标准，允许 AI 智能体无缝连接外部数据源、工具和服务。\n\n## 📖 什么是 MCP？\n\n模型上下文协议（MCP）是一个开放协议，使 AI 应用程序能够安全地连接到外部数据源和工具。它为 AI 模型访问和与外部系统交互提供了标准化方式，使构建强大的、上下文感知的 AI 应用程序变得更加容易。\n\n## 🎯 MCP 平台与工具\n\n关于 MCP 平台和工具的精选推荐，请访问我们的 [MCP 推荐](./mcp-recommendations) 页面，其中包括：\n\n- **MCP 社区中心**：发现全球 MCP 平台和市场\n- **推荐的 MCP 工具**：探索各种用例的高质量 MCP 服务\n\n## MCP 的优势\n\n### 标准化\n- **通用接口**: MCP 提供连接 AI 模型与外部工具的一致方式\n- **互操作性**: 为一个 MCP 兼容平台构建的工具可在其他平台上工作\n- **减少开发时间**: 标准化协议意味着减少自定义集成工作\n\n### 安全性\n- **受控访问**: MCP 提供安全的、基于权限的外部资源访问\n- **身份验证**: 内置支持各种身份验证方法\n- **审计跟踪**: 跟踪和监控所有外部交互\n\n### 可扩展性\n- **模块化设计**: 在不影响核心应用程序的情况下添加或删除工具\n- **负载分配**: 在多个服务器间分布工具执行\n- **版本管理**: 优雅地处理工具的不同版本\n\n## MCP 入门\n\n1. **探索可用工具**: 浏览 MCP 市场以找到适合您需求的工具\n2. **安装工具**: 将 MCP 工具添加到您的 Nexent 实例\n3. **配置访问**: 设置身份验证和权限\n4. **创建智能体**: 构建利用多个 MCP 工具的智能体\n5. **监控性能**: 跟踪使用情况并优化工具选择\n\n有关详细的集成指南，请参阅我们的 [后端工具文档](../backend/tools/)。\n\n## 构建自定义 MCP 工具\n\n有兴趣构建自己的 MCP 工具？请查看：\n- [LangChain 工具指南](../backend/tools/langchain)\n- [MCP 工具开发](../backend/tools/mcp)\n- [SDK 工具文档](../sdk/core/tools)\n\nMCP 生态系统使您能够构建可以与现实世界无缝交互的智能体，访问实时数据，执行复杂操作，并在几乎任何领域提供上下文帮助。"
  },
  {
    "path": "doc/docs/zh/mcp-ecosystem/use-cases.md",
    "content": "# 建议的智能体场景\n\n借助 MCP 强大的生态系统，您可以为各种场景创建复杂的 AI 智能体。以下是一些经过验证的用例，展示了 Nexent 平台的多样性和强大功能。\n\n## 🌍 旅行规划智能体\n\n创建一个处理旅程各个方面的综合旅行助手：\n\n- **路线规划**: 使用高德地图进行详细的路线规划和导航 📍\n- **交通运输**: 集成 12306 进行火车票预订和时刻表查询 🚄  \n- **航班管理**: 连接飞常准获取实时航班信息 ✈️\n- **支付处理**: 启用支付宝进行无缝支付处理 💳\n\n**示例功能**:\n- 规划具有最优路线的多城市行程\n- 预订火车票并跟踪延误信息\n- 监控航班状态和登机口变更\n- 处理不同服务的支付\n- 提供实时更新和替代方案\n\n## 🔬 研究助手智能体\n\n为学术和专业工作构建强大的研究伙伴：\n\n- **学术搜索**: 利用 ArXiv 搜索最新学术论文 📚\n- **网络研究**: 使用必应搜索获取全面的网络信息 🔍\n- **结构化分析**: 应用顺序思考进行系统化研究 🧠\n- **数据提取**: 集成 Firecrawl 进行网络数据收集 🕷️\n\n**示例功能**:\n- 进行系统性文献综述\n- 从多个来源提取和综合信息\n- 生成研究摘要和参考文献\n- 跟踪研究趋势和引用\n- 将发现整理成结构化报告\n\n## 💼 商业智能智能体\n\n开发智能商业分析和决策支持：\n\n- **数据集成**: 通过各种 MCP 服务器连接多个数据源 📊\n- **位置分析**: 使用地理工具进行基于位置的洞察 🗺️\n- **财务分析**: 集成支付系统获取财务数据 💰\n- **决策支持**: 应用结构化思维框架进行分析 🎯\n\n**示例功能**:\n- 分析市场趋势和客户行为\n- 生成自动化商业报告\n- 提供基于位置的市场洞察\n- 跟踪财务绩效指标\n- 支持战略决策制定\n\n## 🏠 智能生活助手\n\n为日常生活优化创建个人助手：\n\n- **购物助手**: 结合地图服务和支付集成 🛒\n- **通勤优化**: 使用交通工具进行路线规划 🚗\n- **本地发现**: 集成网络搜索获取本地推荐 🏪\n- **信息管理**: 应用智能内容提取 📱\n\n**示例功能**:\n- 查找和比较本地服务和产品\n- 优化日常通勤路线\n- 发现新的餐厅和活动\n- 管理个人日程和提醒\n- 处理例行交易和预订\n\n## 🎓 教育支持智能体\n\n构建学习和教学助手：\n\n- **内容研究**: 访问学术数据库和论文\n- **互动学习**: 提供解释和教程\n- **进度跟踪**: 监控学习目标和里程碑\n- **资源发现**: 找到相关的教育材料\n\n## 🏥 健康信息智能体\n\n创建专注于健康的信息助手：\n\n- **医学研究**: 搜索医学文献和指南\n- **预约管理**: 处理日程安排和提醒\n- **健康跟踪**: 监控健康指标和趋势\n- **信息综合**: 提供清晰的健康信息摘要\n\n## 💡 创意内容智能体\n\n为内容创作和营销开发智能体：\n\n- **市场研究**: 分析趋势和竞争对手信息\n- **内容规划**: 生成创意和内容日历\n- **SEO 优化**: 研究关键词和优化策略\n- **多平台发布**: 协调跨平台内容\n\n## 智能体场景入门\n\n1. **确定用例**: 选择符合您需求的场景\n2. **选择 MCP 工具**: 从我们的生态系统中选择合适的工具\n3. **配置集成**: 设置身份验证和权限\n4. **创建智能体**: 使用 Nexent 的零代码平台构建\n5. **测试和迭代**: 基于实际使用情况完善您的智能体\n\n## 最佳实践\n\n- **从简单开始**: 从基本功能开始，逐步扩展\n- **规划集成**: 考虑不同工具如何协同工作\n- **监控性能**: 跟踪使用情况并优化工具选择\n- **用户反馈**: 基于用户需求持续改进\n- **安全优先**: 确保适当的身份验证和数据保护\n\n每个场景都可以根据您的具体要求进行定制和扩展。MCP 生态系统提供了以创新方式组合工具的灵活性，创造针对您确切需求量身定制的强大 AI 体验。"
  },
  {
    "path": "doc/docs/zh/opensource-memorial-wall.md",
    "content": "# 开源纪念墙\n\n欢迎来到 Nexent 开源纪念墙！🎉\n\n这里是我们社区成员留下印记的特殊地方，大家可以分享故事、经验，庆祝对开源世界的贡献。\n\n参与纪念墙非常简单！详细说明请查看我们的[贡献指南](./contributing#🌟-开源纪念墙快速贡献)。\n\n## 🌟 社区留言\n\n*这里是其他朋友的故事和留言的地方。欢迎在下方添加您的想法！*\n\n<!-- \n👇 请在此行下方使用上面显示的提示框格式添加您的消息。\n每条消息应包含您的姓名/昵称和日期。\n请保持消息的礼貌和尊重，符合我们的行为准则。\n-->\n\n::: tip aibito - 某创业公司后端开发 - 2025-05-18\n我们是一家只有 15 人的小公司，之前一直想做智能客服但技术门槛太高。发现 Nexent 后如获至宝！20+ 文件格式支持让我们轻松处理用户上传的各种文档，多模态对话功能完美解决了语音客服需求。最重要的是，我们的产品经理现在也能直接用自然语言调整智能体逻辑，开发效率提升了好几倍！\n:::\n\n::: info codingcat99 - 2025-05-15\n第一次玩开源项目，nexent真的挺好用的！用自然语言就能搞智能体，比我想象的简单多了\n:::\n\n::: info codingcat99 - 2025-05-15\n大家一起加油\n:::\n\n::: tip bytedancer2023 - 2025-05-18\n我们小公司想做客服机器人，之前技术门槛太高了。nexent的多文件格式支持真的帮了大忙，产品经理现在也能自己调智能体了哈哈\n:::\n\n::: info saladjay - 清华大学计算机系 - 2025-06-15\n第一次接触开源项目就是 Nexent！作为 AI 专业的研究生，看到\"零代码生成智能体\"的概念就被吸引了。用自然语言就能创建智能体，这对我做自定义的学术研究挺方便的。现在我用 Nexent 搭建了一个论文总结助手，MCP 工具生态系统让集成各种学术数据库变得超级简单。\n:::\n\n::: warning researcher_anon - 2025-06-20\n搞多智能体研究的，看到知识溯源功能眼前一亮。做了个论文审查系统，还挺有用的\n:::\n\n::: tip 前端小白刘 - 2025-06-22\n第一次贡献开源是改了个typo...社区很友好，现在用nexent做知识管理，感觉像有了第二个大脑！\n:::\n\n::: info 小刘 - 前端转全栈的独立开发者 - 2025-06-22\n说来惭愧，做了 3 年前端，第一次参与开源项目竟然是通过给文档修 typo 开始的😅。但 Nexent 的社区真的很友好，群里耐心回答我的每个问题。现在我不仅学会了 FastAPI 后端开发，还用 Nexent 做了个人知识管理系统。实时文件导入和自动摘要功能简直是我的第二大脑！感谢开源让我成长这么多。\n:::\n\n::: tip 产品汪 - 2025-07-01\n终于不用写prd了哈哈，直接用自然语言描述需求，开发同事都说清楚多了\n:::\n\n::: danger DTAstack - 无名氏 - 2025-07-20\n研究多智能体协作方向，Nexent 的多智能体协同功能让我眼前一亮。特别是知识溯源和引用验证，这在学术研究中太重要了。我用 Nexent 搭建了一个学术论文自动审查系统，能够自动验证引用来源、检查逻辑一致性。开源的力量真的很强大，希望更多研究者能加入进来！\n:::\n\n::: info 划水摸鱼王 - 2025-07-26\n就是来留个脚印 👍 项目不错，给个star~\n:::\n\n::: info ai_lover - 2025-07-28  \n零代码真的做到了！我就说了句话就做出来智能体，pdf word都能处理，太强了\n:::\n\n::: info cokefish - 2025-08-05\nNexent的自然语言生成Agent以及多智能体协同是我一直在研究的方向，AI的护城河，个人一直认为是提示词和上下文，AI如同有霸王之力的幼儿，提示词教会他如何使用力量，而上下文让他能记住，Agent是包裹三者的容器，Nexent则赋予Agent更多的可能性\n:::\n\n::: info focus - AI应用开发工程师 - 2025-08-07\n零代码开发Agent的想法太有趣了，同时这个开源社区的氛围很好，希望能贡献自己的一份力量。\n:::\n\n::: info Puppet - 2025-08-08\n🌟来尝试使用论文阅读工具，项目很不错！\n:::\n\n::: info plus - 2025-08-18\n在公众号看到可以自己做一个论文助手的文章，后面又跟着学习了MCP服务的使用等智能体开发知识，是智能体学习路上的一次有意义的实践，\n:::\n\n::: info  yhwj19800201 - 2025-08-18\n在github上找ai agent发现了这款开源项目，设计的产品理念很独到，希望能应用到自己的项目上。\n:::\n\n::: info CSJSAJA - 2025-09-12\n在网站上搜AI Agent看到了开源项目，帮了很大忙，是智能体学习路上的一次有意义的实践！\n:::\n\n::: info EXUAN0312 - 2024-09-12\n我要参加华为ICT大赛了！！！\n:::\n\n::: info TypeABC - 2025-09-16\n在华为官网上看到的开源项目，简洁好用，对我学习智能体有很大帮助！\n:::\n\n::: info wcq23 - 2025-09-18\n之前就有接触过dify等国外的智能体设计平台，终于可以用上我们自己国产的平台啦！\n:::\n\n::: tip Johnny-zbb - 2025-09-19\n感谢 Nexent 让我踏上了开源之旅！文档很棒，可以快速上手。\n:::\n\n::: tip fy-create - 2025-09-22\n遇到一个搞不懂的问题, Phinéase 帮忙连线解决问题, 非常棒的体验.\n:::\n\n::: tip fy-create - 2025-09-22\n很有意思的项目~\n:::\n\n::: info blxh - 2025-09-25\n参加华为ICT大赛来的！希望有个美好的体验！\n:::\n\n::: info fc6657 - 2025-09-27\n希望借助参加ict大赛的机会，提高自己的技术\n:::\n\n::: info lyc0502 - 2025-09-29\n很好的项目 希望可以借此机会学到很多技术\n:::\n\n::: info JSH - 2025-09-30\n从ICT认识Nexent，希望可以从开源中学到更多\n:::\n\n:::info nowindbird - 2025-10-04\n从ict认识的nexent，希望可以学习到更多知识\n:::\n\n:::info Zhang21901 - 2025-10-06\n感谢 Nexent 让我踏上了开源之旅！这个项目的文档真的很棒，帮助我快速上手。\n:::\n\n:::info chenDW - 2025-10-09\n我希望借助Nexent这个平台开发出的作品能在华为创新赛中获奖。\n:::\n\n:::info tingkaiZhang611 - 2025-10-12\n愿Ai赋能共创新时代。\n:::\n\n:::info D chaojun - 2025-10-13\n感叹科技的跃迁，大大降低我学习的难度。\n:::\n\n::: info ysugarr - 2025-10-14\n感谢 Nexent 让我踏上了开源之旅！\n:::\n\n::: tip yblu - 2025-10-14\n第一次接触智能体编排，是为了参加华为ICT大赛而了解 Nexent 的。  没想到入门比想象中容易，文档也写得很清晰。  \n:::\n\n::: info nobody - 2025-10-15\n参加ICT大赛来了解 Nexent，这真的是个很好的平台，未来一起前行吧\n参加ICT大赛来了解 Nexent，好难弄啊啊啊,电脑硬盘容量不够了,然而硬盘价格还没下跌,该死的贩子\n通过ict大赛了解到了Nexent平台，很惊讶居然还有这么方便的平台，希望以后可以一起努力\n参加华为ICT，学习Nexent，AI改变你和我，赋能未来！\n就是来留个脚印 👍 项目不错，给个star~\n感叹科技的跃迁，大大降低我学习的难度，是我进步飞快\n:::\n\n::: info jjcc6 - 2025-10-15\n希望能参加ict大赛长长见识，提高水平~\n:::\n\n::: info jjcc6 - 2025-10-15\n希望能参加ict大赛长长见识，提高水平~\n:::\n\n::: tip shiou - 2025-10-17\n感谢nexent让我了解了开源项目，帮助我快速上手\n:::\n\n::: tip hud0567 - 2025-10-17\n第一次接触这个平台 入门超级艰难 很智能化\n:::\n\n::: tip xiaomi250 - 2025-10-18\n打算冲一波 ICT 大赛！正好借着这个机会多捣鼓捣鼓，把我的技术再升个级，想想还挺有意思的～\n:::\n\n::: info Nebula-11 - 2025-10-22\n第一次用Mexent参加华为ict大赛，希望发展越来越好。\n:::\n\n::: tip wulong - 2025-10-22\n出发华为！感谢 Nexent 一起赋能！\n:::\n\n::: tip 开源新手 - 2025-10-22\n感谢 Nexent 让我踏上了开源之旅！这个项目的文档真的很棒，帮助我快速上手。\n:::\n\n::: tip xiongmiao - 2025-10-22\n参加ict大赛希望能有一个很好的启发\n:::\n\n::: info xiongmiao -2025-10-22\n参加ICT进一步了解智能体\n:::\n\n:::info Nebula-11 - 2025-10-22\n第一次用Mexent参加华为ict大赛，希望发展越来越好。\n:::\n\n::: tip ROBOT-PZY - 2025-10-23\n小白勇闯华为ICT大赛，感谢nexent平台支持\n:::\n\n::: tip cai7777 - 2025-10-23\n参加ICT大赛来了解 Nexent\n:::\n\n::: tip iocion - 2025-10-24\n第一次在了解到nexent平台，看到现在ai发展对智能化的影响巨大，以往对于ai入门就是复杂的算法逻辑，现在可以更快的入门，文档写的也很清晰，希望model engine社区可以不断完善和壮大。\n:::\n\n::: info zhouyin2516 - 2025-10-24\n希望能借助 Nexent 开发一个智能问答助手！\n:::\n\n::: info tanzitong - 2025-10-24\n通过ict大赛接触到的这个平台，之前用过dify,coze,n8n等智能体平台，对比之下Nexent显得更加简洁和高效\n:::\n\n::: info feixin - 2025-10-24\n希望能一直好好做下去，有机会的话，我也会试着提交pr，加油！！\n:::\n\n::: tip shev - 2025-10-25\n感谢nexent我开始来了解开源项目，第一次参加华为ict大赛\n:::\n\n::: info 916443155@qq.com - 2025-10-25\n希望能参加ict大赛长长见识，提高水平~\n:::\n\n::: tip YuXiaoLoong - 2025-10-27\nNexent是一个十分便利的开发平台，文档清晰，工具齐全，有幸能用上这么好用的平台，希望能在这个平台上学到更多技术和思想。\n:::\n\n::: info niceman - 2025-10-27 \n希望能参加ict大赛可以学习到更多知识，感谢 Nexent 让我踏上了开源之旅~\n:::\n\n::: info Ottwo - 2025-10-27\nnexent真是中国学生的Agent启蒙老师！在校大学生充分学习了很多，感谢有这么好的项目！\n:::\n\n::: info violet-dq - 2025-10-28 \n想要自己尝试搭建智能体，感叹Nexent的功能如此强大！\n:::\n\n::: info y-dq - 2025-10-28 \n想要自己尝试搭建智能体，感叹Nexent的功能如此强大！\n:::\n\n::: info xUxIAOrUI -2025-10-28\n“零代码生成智能体”的概念非常吸引我.作为在校大学生，这是我第一次接触开源项目。通过初步的了解，发现Nexent是一个很好的平台，之后也会在使用的过程中尝试提出一些有用的意见。期待Nexent越来越好！\n:::\n\n::: info niceman - 2025-10-29\n希望能参加ict大赛可以学习到更多知识，感谢 Nexent 让我踏上了开源之旅~\n:::\n\n::: info niceman - 2025-10-29\n感谢 Nexent 让我踏上了开源之旅!希望能参加ict大赛长长见识。项目不错，给个star~ \n:::\n\n::: info 龙城三少 - 2025-10-29\n中华有为\n:::\n\n::: tip xingkongF001 - 2025-10-30\n来参加华为ICT的，希望一切顺利！！！\n:::\n\n::: info fishcat - 2025-10-31\n很好的项目，希望蒸蒸日上\n:::\n\n::: info kisskisszhou - 2025-10-31\n感谢 Nexent 让我踏上了开源之旅！希望参加ict大赛来提高自己的能力\n:::\n\n::: info zhangwt0601 - 2025-11-01\n希望借助开源大赛以及Nexent平台提高自己的技术\n:::\n\n::: info user - 2025-11-01\n来参加ict大赛培训大会，努力学习:)\n:::\n\n::: info yang 2025-11-02\nNexent功能如此之强大，给我很多帮助，感谢开发者！厉害\n:::\n\n::: info Pharaoh-C - 2025-11-2\n研究多智能体协作方向，Nexent 的多智能体协同功能让我眼前一亮，这在学术研究中太重要了。我用 Nexent 搭建了一个AI赛博医生，能够自动索引中西医文献、给一些症状做出解答。开源的力量真的很强大，希望更多研究者能加入进来！\n:::\n\n::: tip iocion - 2025-11-05\n本地快速搭建，离不开大家开源的贡献，希望model engine社区可以不断完善和壮大。\n:::\n\n::：info XxHosxX - 2025-11-05\n希望参与ICT大赛以及Nexent平台提升自己的能力:)\n:::\n\n::: tip Zwer1 - 2025-11-04\n感谢 Nexent 让我踏上了开源之旅！平台开发智能体的能力十分强大，希望能够学习到更多东西！\n:::\n\n::: tip Zwer1 - 2025-11-04\n想参加ICT创新赛\n:::\n\n::: tip Jackie - 2025-11-07\n期待能使用Nexent成为智能体开发大佬\n:::\n\n::: info lzysleep - 2025-11-7\n非常不错的项目，很适合快速上手搭建自己的Agent，赞赞赞！\n:::\n\n::: info xiaochenIpter - 2025-11-08\n希望能参加ict大赛可以学习到更多知识,感谢 Nexent 让我踏上了开源之旅！平台开发智能体的能力十分强大，希望能够学习到更多东西！\n:::\n\n::: info user - 2025-11-08\n\"🎉 很高兴加入Nexent社区！作为新贡献者，我期待在代码优化、文档完善或测试反馈中尽一份力。#NexentCommunity 让我们一起构建更棒的项目！🚀\"\n:::\n\n::: info pxqn-xing - 2025-11-08\n感谢Nexent让我参与ICT大赛以提升自己的能力\n:::\n\n::: info QIYAN - 2025-11-09\n体验华为AI技术的一天\n:::\n\n::: tip qiyan111 - 2025-11-10\n想试下华为的智能体\n:::\n\n::：info XxHosxX - 2025-11-10\n自动创建agent的功能挺创新的，试过其他很多平台基本上都是只能通过一句描述语言优化提示词，很少有可以通过一句描述语言直接生成agent的功能，赞！\n:::\n\n::: tip muxin - 2025-11-11\n感谢 Nexent 让我踏上了开源之旅！也希望参加ict大赛时能够学到更多知识，能够做出好的项目！研究完这个项目之后觉得真的不错，赞！\n:::\n\n::: info user - 2025-11-11\n感谢 Nexent 让我踏上了开源之旅！平台开发智能体的能力十分强大，希望能够学习到更多东西！\n:::\n\n::: info wilson-hash - 2025-11-12\n今年参加了华为ICT大赛期待借助Nexent平台学到更多东西，也感谢Nexent这么好的平台的支持，赞！\n:::\n\n::: info grc - 2025-11-12\n通过ICT大赛了解到Nexent开源智能体，又可以学习新知识了！🥰🥰🥰\n:::\n\n::: tip jeery1 - 2025-11-12\n来参加华为ICT的，希望一切顺利！！！\n:::\n\n::: tip 开源新手 - 2025-11-12\n感谢 Nexent 让我踏上了开源之旅！这个项目的文档真的很棒，帮助我快速上手。\n:::\n\n:::  tip user - 2025-11-12\n感谢 Nexent 让我第一次感受到智能体 希望参加ICT比赛过程中可以学到更多知识 能够对该领域有更多的了解和认识！\n:::\n\n:::  tip QYF - 2025-11-12\n期待在ICT大赛闪闪发光\n:::\n\n::: info user - 2025-11-12\n哇塞！好棒哇！很神奇哈哈哈哈，这个自动创建agent功能挺好用的！\n:::\n\n::: info user - 2025-11-12\n参加ict大赛，感谢nexent平台提供很多学习机会\n:::\n\n::: info chengliuxiang2002 - 2025-11-13\n我又来了，通过华为ICT了解到nexent，正在学习中...\n:::\n\n::: info happyzhang - 2025-11-13\n也许我们正见证着未来的“后起之秀”😀\n:::\n\n::: info KevinLeeNJ - 2025-11-13\n来参加华为ICT大赛的，nexent很不错，希望后续能有更多功能！\n:::\n\n::: info user - 2025-11-14\n我要参加华为ICT\n:::\n\n::: tip Locker - 2025-11-15\n感谢 Nexent 让我踏上了开源之旅！我们将在华为ICT大赛中使用 Nexent 构建智能体，期待能深入学习和贡献。\n:::\n\n::: info xlp888 - 2025-11-16\n通过华为ICT大赛了解到nexent，希望能在智能体之路上更进一步\n:::\n\n::: info user - 2025-11-16\n第一次参加，加油\n:::\n\n:::  info user - 2025-11-17\n感谢 Nexent 让我第一次接触到智能体，希望参加ICT比赛过程中可以学到更多知识！\n:::\n\n::: tip kon-do - 2025-11-17\n感谢 Nexent 让我踏上了开源之旅！这个项目的文档真的很棒，帮助我快速上手。\n:::\n\n::: tip user - 2025-11-19\n感谢 Nexent 让我第一次感受到智能体 希望参加ICT比赛过程中可以学到更多知识 能够对该领域有更多的了解和认识！\n:::\n\n::: info 开源小白 - 2025-11-19\n感谢 Nexent 让我踏上了开源之旅！这个项目的文档真的很棒，帮助我快速上手。\n:::\n\n::: tip qinjavermo - 2025-11-19\n感谢 Nexent 让我踏上了开源之旅！给我一个机会制作智能体\n:::\n\n::: info 开源小白 - 2025-11-19\n感谢 Nexent 让我踏上了开源之旅！这个项目的文档真的很棒，帮助我快速上手。\n:::\n\n::: info chengyudan - 2025-10-20 \n感谢 Nexent 让我踏上了开源之旅！ \n:::\n\n::: info user - 2025-11-20\n学习ai - agent非常好的项目，后面会持续输出贡献！\n:::\n\n::: china-king-hs - 2025-11-20\n希望能正常使用nexent\n:::\n\n::: info user - 2025-11-22\n感谢nexent这个开源项目\n:::\n\n::: tip xiaofu-2025-11-23\nxiaofu到此一游，感谢 Nexent 让我踏上了开源之旅！\n:::\n\n::: info DUTBenjamin - 2025-11-23\n来参加华为ICT大赛的,正好借着这个机会多捣鼓捣鼓,学到更多东西，加油！\n:::\n\n::: info dean-stock - 2025-11-23\n感谢nexent让我第一次接触到了智能体，让我从使用到创作智能体的转变。\n:::\n\n::: info user - 2025-11-23\n学习到ai了，很好用\n:::\n\n::: info chao - 2025-11-23\n使用 Nexent 开发了项目，MCP 工具集成特别强大，节省了大量开发时间！\n:::\n\n::: info adasibi - 2025-11-23\n学习ai很好用，感谢 Nexent 让我踏上了开源之旅！\n:::\n\n::: info user - 2025-11-23\nNexent越来越好！\n:::\n\n::: info DUTBenjamin - 2025-11-23\n来参加华为ICT大赛的,正好借着这个机会学到更多东西，加油！\n:::\n\n::: info aurorahashcat - 2025-11-23\nnexent看起来超棒的自动化智能体构建平台，祝越来越好😀\n:::\n\n::: williamllk from SJTU - 2025-11-23\n感谢 Nexent 让我第一次制作智能体，尝试将AI4Science的理念付诸实践\n:::\n\n::: tip lostlight530 - 2025-11-24\n通过 Nexent 实现了 Router-Worker 架构的完美落地。无论是构建高情商的拟人化伴侣，还是处理严苛的结构化数据约束，这套框架都游刃有余。多智能体编排体验极佳！\n:::\n\n::: info jackliu631 - 2025-11-25\n通过 Nexent 实现了AI产品的完美落地。智能体的编排使用体验非常好\n:::\n\n::: info June - 2025-11-26\nnexent智能体帮助我学到更多的东西，赞！\n:::\n\n::: info sharkkk - 2025-11-26\n越来越好！\n:::\n\n::: info SkyWalker - 2025-11-26\n第一次使用nexent，想借此更快入手ai应用开发呀！\n:::\n\n::: info user - 2025-11-26\nNexent开发者加油\n:::\n\n::: info NOSN - 2025-11-27\nNexent越做越强大！\n:::\n\n::: info Chenpi-Sakura - 2025-11-27\n开源共创未来！\n:::\n\n:::info yy-cy - 2025-11-27\nNexent加油\n:::\n\n::: info AstreoX - 2025-11-27\n感谢Nexent为智能体开发提出了更多可能！\n:::\n\n::: info user - 2025-11-26\n祝nexent平台越做越胡奥\n:::\n\n::: info Phoebe246824 - 2025-11-27\n感谢 Nexent, 可以让我快速上手构建智能体，祝越来越好！\n:::\n\n::: info user - 2025-11-27\n祝Nexent平台越做越好\n:::\n\n::: info kj - 2025-11-27\n祝越来越好\n:::\n\n::: info aaa - 2025-11-28\n祝nexent平台越来越好\n:::\n\n::: info hanyuan5888-beep - 2025-11-29\n通过华为ICT大赛接触到的这个平台，前端做的非常好看，并且功能很全面。\n:::\n\n::: info user - 2025-11-29\n感谢 Nexent 让我踏上了开源之旅！这个项目的文档真的很棒，帮助我快速上手。\n:::\n\n::: info G-oeX - 2025-11-30\n感谢 Nexent 让我第一次感受到智能体 希望参加ICT比赛过程中可以学到更多知识 能够对该领域有更多的了解和认识！star！！！\n:::\n\n::: tip peri1506 - 2025-11-30\n感谢 Nexent 让我踏上了开源之旅！这个项目的文档真的很棒，帮助我快速上手。\n:::\n\n::: tip kissmekm - 2025-12-01\n感谢 Nexent 让我踏上了开源之旅！希望能使用nexent开发智能体\n:::\n\n::: info luna - 2025-12-1\n感谢nexent，祝平台越做越强大\n:::\n\n::: info sbwrn - 2025-12-02\n祝越来越好\n:::\n\n::: info sbwrn - 2025-12-02\n祝nexent平台越来越好\n\n:::tip 开源新手 - 2025-12-02\n感谢 Nexent 让我踏上了开源之旅！这个项目的文档真的很棒，帮助我快速上手。\n:::\n\n::: info sbwrn - 2025-12-02\n祝nexent平台越来越好\n:::\n\n::: info dengpeiying - 2025-12-02\nNexent开发者加油\n:::\n\n::: info jinhb - 2025-12-03\n祝nexent平台越来越好\n:::\n\n::: info zmu.1s - 2025-12-04\n打ICT大赛接触到了Nexent平台，祝越来越好！\n:::\n\n::: info Papver 01 - 2025-12-05\n感谢 Nexent 让我踏上了开源之旅！这个项目的文档真的很棒，帮助我快速上手。\n:::\n\n::: info aschenmo - 2025-12-05\n通过 Nexent 实现了医学查询架构的完美落地，这套框架非常完美。多智能体编排体验极佳！\n:::\n\n::: tip 开源新手 - 2025-12-05\n感谢 Nexent 让我踏上了开源之旅！\n:::\n\n::: tip user - 2025-12-10\n很开心能接触到这个平台，让我有机会踏上开源之旅\n:::\n\n::: tip 开源新手 - 2025-12-14\n开放原子大赛接触到了Nexent平台，祝越来越好！\n:::\n\n::: info hongmuxiangxun - 2025-12-19\n开放原子大赛接触到了Nexent平台，祝越来越好，越来越容易上手。\n:::\n\n::: info jinmo - 2025-12-25\n无意中接触了Nexent平台，喜欢它的风格，祝它能被更多人知晓。\n:::\n\n::: tip 开源新手 - 2025-12-25\n感谢 Nexent 让我踏上了开源之旅！这个项目的文档真的很棒，帮助我快速上手，希望 Nexent 越来越好！\n:::\n\n::: info 1-xiaozheng-1 - 2025-12-25\n从modelengine中看到Nexent，发现这个平台创建智能体简直一绝，希望越来越好。\n:::\n\n::: info 13妖 - 2025-12-25\n准备进行本地部署，docker 那边配置，windows的不知道怎么运行，继续学习，祝越来越好。\n:::\n\n::: info haruhikage1 - 2025-1-22\n做个人知识管理系统时发现了Nexent，实时文件导入和自动摘要功能直接解决了我整理笔记的痛点！用自然语言就能调整智能体逻辑，不用写复杂的代码，对我这种非AI专业的开发者太友好了。已经推荐给身边的同行，希望项目越做越好！\n:::\n\n::: info feria-tu - 2026-2-21\n一直在寻找企业级简单好用的智能体平台，Nexent是个非常值得一试的好产品，祝Nexent发展越来越好！\n:::\n\n::: info 398248996@qq.com - 2026-2-27\n从ModelEngine中看到的Nexent，windows环境部署，遇到点困难，提了Issues，期待回复，祝越来越好！\n:::\n\n::: info saerreas1221 - 2026-3-2\n一直在寻找企业级简单好用的智能体平台，Nexent是个非常值得一试的好产品，祝Nexent发展越来越好！\n:::\n\n::: info haruhikage1 - 2026-3-2\n尝试探索新版本的功能，想要自己开发mcp工具。\n:::\n\n::: info saerreas1221 - 2026-3-2\n感谢Nexent开源项目，新手也能轻松贡献！，Nexent是个非常值得一试的智能体平台，祝Nexent发展越来越好！\n:::\n\n::: tip Snowny - 2026-03-03 \n期待能使用Nexent成为智能体开发大佬 \n:::\n\n::: info anxinghei - 2026-3-3\nNexent 加油！希望能达成所愿！\n:::\n\n::: info CwjXFH - 2026-3-3\n持续研究Agent中，先学习后贡献\n:::\n\n::: info jay - 2026-3-3\n偶然间发现，特来学习，祝Nexent发展越来越好！\n:::\n\n::: info 开元新手 - 2026-03-03\n很高兴来到 Nexent 开源纪念墙！见证国产智能体平台的成长与社区活力，零代码让更多人轻松走进 AI 世界，祝项目越做越强，开源生态越来越好！🎉\n:::\n\n::: info 新人 - 2026-3-3\n第一次体验，祝Nexent发展越来越好！\n:::\n\n::: info zephyrchn - 2026-3-3\n探索个人智能体平台，从小红书发现Nexent是个非常值得一试的好产品，祝Nexent发展越来越好！\n:::\n\n::: info SZShowmaker - 2026-3-3\nHappy to find a easy-to-use AI Agent Platform\n:::\n\n::: info Passion - 2026-3-4\n华为开发者大会接触到Nexent，祝越来越好！\n:::\n\n::: info sisyphus0x - 2026-03-04\n对多智能体编排和协同工作很感兴趣，学习一下\n:::\n\n::: info hmh_mike - 2026-03-05\n感觉很有意思，试用一下看看对工作有没有帮助\n:::\n\n::: tip GZX- 2026-03-08\n感谢 Nexent 期待与Nexent一起进步。\n:::\n\n::: info xingzhewujiang - 2026-03-09\n偶然发现Nexent是一个开源的零代码智能体自动生成平台，非常值的研究与尝试，祝福Nexent让零代码走向AI全球。\n:::\n\n::: info ichigoichie - 2026-03-10\n被 Nexent 官网吸引，希望深入了解产品并应用于工作场景，提升工作效率。\n:::\n"
  },
  {
    "path": "doc/docs/zh/quick-start/faq.md",
    "content": "# Nexent 常见问题\n\n本常见问题解答主要针对安装和使用 Nexent 过程中可能遇到的问题。如需了解基本安装步骤，请参考[安装部署](./installation)。如需了解基本使用指导，请参考[用户指南](../user-guide/home-page)。\n\n## 🚫 常见错误与运维方式\n\n### 🌐 网络连接问题\n- **Q: Docker 容器如何访问宿主机上部署的模型（如 Ollama）？**\n  - A: 由于容器内的 `localhost` 指向容器自身，需要通过以下方式连接宿主机服务：\n  \n    **方案一：使用Docker特殊DNS名称 host.docker.internal**  \n    适用场景：Mac/Windows和较新版本的Docker Desktop(Linux版本也支持)  \n      ```bash\n      http://host.docker.internal:11434/v1\n      ```\n    **方案二：使用宿主机真实 IP（需确保防火墙放行）**\n    ```bash\n    http://[宿主机IP]:11434/v1\n    ```\n    **方案三：修改Docker Compose配置**  \n    在docker-compose.yaml中添加：\n    ```yaml\n    extra_hosts:\n      - \"host.docker.internal:host-gateway\"\n    ```\n\n### 🔌 端口冲突\n- **Q: 端口 3000 已被占用，如何修改？**\n  - A: 可以在 Docker Compose 配置文件中修改端口。\n\n### 📦 容器问题\n- **Q: 如何查看容器日志？**\n  - A: 使用 `docker logs <容器名称>` 命令查看特定容器的日志。\n\n## 🔍 故障排除\n\n### 🔢 模型连接问题\n\n- **Q: 为什么我的模型无法连接？**\n  - A: 请检查以下项目：\n    1. **正确的 API 端点**: 确保您使用正确的 base URL\n    2. **有效的 API 密钥**: 验证您的 API 密钥具有适当权限\n    3. **模型名称**: 确认模型标识符正确\n    4. **网络访问**: 确保您的部署可以访问提供商的服务器\n    关于如何配置模型，请参阅用户指南中的 [模型管理](../user-guide/model-management)。\n\n- **Q: 接入 DeepSeek 官方 API 时多轮对话会报错，如何解决？**\n  - A: DeepSeek 官方当前仅支持文本对话接口，而 Nexent 的推理流程面向多模态设计。在多轮对话中，官方 API 无法正确接收多模态格式数据，因此会触发错误。建议改用硅基流动等已对 DeepSeek 系列模型完成多模态适配的供应商，既保持 DeepSeek 模型的体验，又能兼容 Nexent 的多模态调用链。具体来说，我们使用的消息体形如：\n  ```python\n  { \"role\":\"user\", \"content\":[ { \"type\":\"text\", \"text\":\"prompt\" } ] }\n  ```\n  而DeepSeek只接收：\n  ```python\n  { \"role\":\"user\", \"content\":\"prompt\" }\n\n## 🐛 已知问题\n\n本节列出了当前版本 Nexent 中的已知问题和限制。我们正在积极修复这些问题，并会随着解决方案的推出更新本节。\n\n### 🔧 OpenSSH 容器软件安装限制\n\n**问题描述**: 在 OpenSSH 容器中为终端工具使用安装其他软件包目前由于容器限制而比较困难。\n\n**状态**: 开发中\n\n**影响**: 需要在终端环境中使用自定义工具或软件包的用户可能面临限制。\n\n**计划解决方案**: 我们正在努力提供改进的容器和文档，使自定义变得更容易。这将包括更好的包管理和更灵活的容器配置。\n\n**预期时间线**: 改进的容器支持计划在即将发布的版本中提供。\n\n## 📝 问题报告\n\n如果您遇到此处未列出的任何问题，请：\n\n1. **搜索现有问题** 在 [GitHub Issues](https://github.com/ModelEngine-Group/nexent/issues)\n2. **创建新问题** 并提供详细信息，包括：\n   - 重现步骤\n   - 预期行为\n   - 实际行为\n   - 系统信息\n   - 日志文件（如适用）\n\n## 💡 需要帮助\n\n如果这里没有找到您的问题答案：\n- 加入我们的 [Discord 社区](https://discord.gg/tb5H3S3wyv) 获取实时支持\n- 查看我们的 [GitHub Issues](https://github.com/ModelEngine-Group/nexent/issues) 寻找类似问题\n- 在 [GitHub Discussions](https://github.com/ModelEngine-Group/nexent/discussions) 开启讨论"
  },
  {
    "path": "doc/docs/zh/quick-start/installation.md",
    "content": "# 安装部署\n\n## 🎯 系统要求\n\n| 资源 | 最低要求 |\n|----------|---------|\n| **CPU**  | 2 核 |\n| **内存**  | 6 GiB   |\n| **架构** | x86_64 / ARM64 |\n| **软件** | 已安装 Docker 和 Docker Compose |\n\n## 🚀 快速开始\n\n### 1. 下载和设置\n\n```bash\ngit clone https://github.com/ModelEngine-Group/nexent.git\ncd nexent/docker\ncp .env.example .env # 复制环境变量配置文件\n```\n\n> **💡 提示**: 若无特殊需求，您可直接使用 `.env.example` 进行部署，无需进行任何修改。若您需要配置语音模型（STT/TTS），则需要在 `.env` 中配置相关参数。我们会尽快将此部分配置前端化，敬请期待。\n\n### 2. 部署选项\n\n运行以下命令开始部署：\n\n```bash\nbash deploy.sh\n```\n\n执行此命令后，系统会提供两个不同的版本供您选择：\n\n**版本选择:**\n- **Speed version（轻量快速部署，默认）**: 快速启动核心功能，适合个人用户和小团队使用\n- **Full version（完整功能版）**: 提供企业级租户管理和资源隔离等高级功能，但安装时间略长，适合企业用户\n\n**部署模式:**\n- **开发模式 (默认)**: 暴露所有服务端口以便调试\n- **基础设施模式**: 仅启动基础设施服务\n- **生产模式**: 为安全起见仅暴露端口 3000\n\n**可选组件:**\n- **终端工具**: 启用 openssh-server 供 AI 智能体执行 shell 命令\n- **区域优化**: 中国大陆用户可使用优化的镜像源\n\n\n### ⚠️ 重要提示\n1️⃣ **首次部署 v1.8.0 及以上版本时**，需特别留意 Docker 日志中输出的 `suadmin` 超级管理员账号信息。该账号为系统最高权限账户，密码仅在首次生成时显示，后续无法再次查看，请务必妥善保存。\n> 该账号仅用于权限管理，无权开发智能体或创建知识库。请登录该账号，依次完成：访问租户资源→创建租户→创建租户管理员，然后使用租户管理员账号登录,即可使用全部功能。角色权限详情参见 [用户管理](../user-guide/user-management)\n\n2️⃣ 忘记留意 `suadmin` 账号密码？请按照以下步骤操作：\n```bash\n# Step1: 在supabase容器中删除su账号记录\ndocker exec -it supabase-db-mini bash\npsql -U postgres\nselect id, email from auth.users;\n#获取到suadmin@nexent.com账号的user_id\ndelete from auth.users where id = '你的user_id';\ndelete from auth.identities where user_id = '你的user_id';\n\n#Step2：在nexent的数据库中删除su账号记录\ndocker exec -it nexent-postgresql bash\npsql -U root -d nexent\ndelete from nexent.user_tenant_t where user_id = '你的user_id';\n\n#Step3：重新部署并记录su账号密码\n```\n### 3. 访问您的安装\n\n部署成功完成后：\n1. 在浏览器中打开 **http://localhost:3000**\n2. 登录超级管理员账号\n3. 访问租户资源 → 创建租户及租户管理员\n4. 登录租户管理员账号\n2. 参考 [用户指南](../user-guide/home-page) 进行智能体的开发\n\n\n## 📦 服务架构\n\nNexent 采用微服务架构，包含以下核心服务：\n\n**核心服务:**\n- `nexent`: 后端服务 (端口 5010)\n- `nexent-web`: 前端界面 (端口 3000)\n- `nexent-data-process`: 数据处理服务 (端口 5012)\n\n**基础设施服务:**\n- `nexent-postgresql`: 数据库 (端口 5434)\n- `nexent-elasticsearch`: 搜索引擎 (端口 9210)\n- `nexent-minio`: 对象存储 (端口 9010，控制台 9011)\n- `redis`: 缓存服务 (端口 6379)\n\n**可选服务:**\n- `nexent-openssh-server`: 终端工具的 SSH 服务器 (端口 2222)\n\n## 🔌 端口映射\n\n| 服务 | 内部端口 | 外部端口 | 描述 |\n|---------|---------------|---------------|-------------|\n| Web 界面 | 3000 | 3000 | 主应用程序访问 |\n| 后端 API | 5010 | 5010 | 后端服务 |\n| 数据处理 | 5012 | 5012 | 数据处理 API |\n| PostgreSQL | 5432 | 5434 | 数据库连接 |\n| Elasticsearch | 9200 | 9210 | 搜索引擎 API |\n| MinIO API | 9000 | 9010 | 对象存储 API |\n| MinIO 控制台 | 9001 | 9011 | 存储管理 UI |\n| Redis | 6379 | 6379 | 缓存服务 |\n| SSH 服务器 | 22 | 2222 | 终端工具访问 |\n\n有关完整的端口映射详细信息，请参阅我们的 [开发容器指南](../deployment/devcontainer.md#port-mapping)。\n\n## 💡 需要帮助\n\n- 浏览 [常见问题](./faq) 了解常见安装问题\n- 在我们的 [Discord 社区](https://discord.gg/tb5H3S3wyv) 提问\n- 在 [GitHub Issues](https://github.com/ModelEngine-Group/nexent/issues) 中提交错误报告或功能建议\n\n## 🔧 从源码构建\n\n想要从源码构建或添加新功能？查看 [Docker 构建指南](../deployment/docker-build) 获取详细说明。\n\n有关详细的安装说明和自定义选项，请查看我们的 [开发者指南](../developer-guide/overview)。"
  },
  {
    "path": "doc/docs/zh/quick-start/upgrade-guide.md",
    "content": "# Nexent 升级指导\n\n## 🚀 升级流程概览\n\n升级 Nexent 时建议依次完成以下几个步骤：\n\n1. 拉取最新代码\n2. 执行升级脚本\n3. 打开站点确认服务可用\n\n---\n\n## 🔄 步骤一：更新代码\n\n更新之前，先记录下当前部署的版本和数据目录\n\n- 当前部署版本信息的位置：`backend/consts/const.py`中的 APP_VERSION\n- 数据目录信息的位置：`docker/.env`中的 ROOT_DIR\n\n**git 方式下载的代码**\n\n通过 git 指令更新代码\n\n```bash\ngit pull\n```\n\n**zip 包等方式下载的代码**\n\n需要去 github 上重新下载一份最新代码，并解压缩。另外，需要从之前执行部署脚本目录下 docker 目录中拷贝 deploy.options 到新代码目录下的 docker 目录中（如果不存在该文件则忽略）。\n\n## 🔄 步骤二：执行升级\n\n进入更新后代码目录的docker目录，执行升级脚本：\n\n```bash\nbash upgrade.sh\n```\n\n缺少 deploy.options 的情况下，会提示需要手动输入之前部署的一些配置，比如：当前部署版本、数据目录等。按照提示输入之前记录的信息即可。\n\n> 💡 提示\n> - 默认为快速部署场景，使用 `.env.example`。\n> - 若需配置语音模型（STT/TTS），请提前在 `.env.example` 中补充相关变量，我们将尽快提供前端配置入口。\n\n## 🌐 步骤三：验证部署\n\n部署完成后：\n\n1. 在浏览器打开 `http://localhost:3000`\n2. 参考 [用户指南](https://doc.nexent.tech/zh/user-guide/home-page) 完成智能体配置与验证\n\n## 可选操作\n\n### 🧹 清理旧版本镜像\n\n如果镜像未正确更新，可以在升级前先清理旧容器与镜像：\n\n```bash\n# 停止并删除现有容器\ndocker compose down\n\n# 查看 Nexent 镜像\ndocker images --filter \"reference=nexent/*\"\n\n# 删除 Nexent 镜像\n# Windows PowerShell:\ndocker images -q --filter \"reference=nexent/*\" | ForEach-Object { docker rmi -f $_ }\n\n# Linux/WSL:\ndocker images -q --filter \"reference=nexent/*\" | xargs -r docker rmi -f\n\n# （可选）清理未使用的镜像与缓存\ndocker system prune -af\n```\n\n> ⚠️ 注意事项\n> - 删除镜像前请先备份重要数据。\n> - 若需保留数据库数据，请勿删除数据库 volume（通常位于 `/nexent/docker/volumes` 或自定义挂载路径）。\n\n---\n\n### 🗄️ 手动更新数据库\n\n升级时如果存在部分 sql 文件执行失败，则可以手动执行更新。\n\n#### ✅ 方法一：使用 SQL 编辑器（推荐）\n\n1. 打开 SQL 编辑器，新建 PostgreSQL 连接。\n2. 在 `/nexent/docker/.env` 中找到以下信息：\n   - Host\n   - Port\n   - Database\n   - User\n   - Password\n3. 填写连接信息后测试连接，确认成功后可在 `nexent` schema 中查看所有表。\n4. 新建查询窗口。\n5. 打开 `/nexent/docker/sql` 目录，通过失败的sql文件查看 SQL 脚本。\n6. 将失败的sql文件和后续版本的sql文件依次执行。\n\n> ⚠️ 注意事项\n> - 升版本前请备份数据库，生产环境尤为重要。\n> - SQL 脚本需按时间顺序执行，避免依赖冲突。\n> - `.env` 变量可能命名为 `POSTGRES_HOST`、`POSTGRES_PORT` 等，请在客户端对应填写。\n\n#### 🧰 方法二：命令行执行（无需客户端）\n\n1. 进入 Docker 目录：\n\n   ```bash\n   cd nexent/docker\n   ```\n\n2. 从 `.env` 中获取数据库连接信息，例如：\n\n   ```bash\n   POSTGRES_HOST=localhost\n   POSTGRES_PORT=5432\n   POSTGRES_DB=nexent\n   POSTGRES_USER=root\n   POSTGRES_PASSWORD=your_password\n   ```\n\n3. 通过容器执行 SQL 脚本（示例）：\n\n   ```bash\n   # 我们需要执行以下命令（请注意替换占位符中的变量）\n   docker exec -i nexent-postgresql psql -U [YOUR_POSTGRES_USER] -d [YOUR_POSTGRES_DB] < ./sql/v1.1.1_1030-update.sql\n   docker exec -i nexent-postgresql psql -U [YOUR_POSTGRES_USER] -d [YOUR_POSTGRES_DB] < ./sql/v1.1.2_1105-update.sql\n   ```\n\n   请根据自己的部署版本，按版本顺序执行对应脚本。\n\n> 💡 提示\n> - 若 `.env` 中定义了数据库变量，可先导入：\n>\n>   **Windows PowerShell:**\n>   ```powershell\n>   Get-Content .env | Where-Object { $_ -notmatch '^#' -and $_ -match '=' } | ForEach-Object { $key, $value = $_ -split '=', 2; [Environment]::SetEnvironmentVariable($key.Trim(), $value.Trim(), 'Process') }\n>   ```\n>\n>   **Linux/WSL:**\n>   ```bash\n>   export $(grep -v '^#' .env | xargs)\n>   # 或使用 set -a 自动导出所有变量\n>   set -a; source .env; set +a\n>   ```\n>\n> - 执行前建议先备份：\n>\n>   ```bash\n>   docker exec -i nexent-postgres pg_dump -U [YOUR_POSTGRES_USER] [YOUR_POSTGRES_DB] > backup_$(date +%F).sql\n>   ```\n"
  },
  {
    "path": "doc/docs/zh/sdk/basic-usage.md",
    "content": "# 💡 基本使用\n\n本指南提供使用 Nexent SDK 构建智能体的全面介绍。\n\n## 🚀 安装与环境\n\n完整的全栈与仅 SDK 安装路径已集中到 [环境准备](../developer-guide/environment-setup) 指南。请先完成环境配置，再继续本页的快速开始。\n\n## ⚡ 快速开始\n\n### 💡 基本导入\n\n```python\nfrom nexent.core.utils.observer import MessageObserver, ProcessType\nfrom nexent.core.agents.core_agent import CoreAgent\nfrom nexent.core.agents.nexent_agent import NexentAgent\nfrom nexent.core.models.openai_llm import OpenAIModel\nfrom nexent.core.tools import ExaSearchTool, KnowledgeBaseSearchTool\n```\n\n## 🤖 创建你的第一个智能体\n\n### 🔧 设置环境\n\n```python\n# 创建消息观察者用于流式输出\nobserver = MessageObserver()\n\n# 创建模型（模型和智能体必须使用同一个观察者）\nmodel = OpenAIModel(\n    observer=observer,\n    model_id=\"your-model-id\",\n    api_key=\"your-api-key\",\n    api_base=\"your-api-base\"\n)\n```\n\n### 🛠️ 添加工具\n\n```python\n# 创建搜索工具\nsearch_tool = ExaSearchTool(\n    exa_api_key=\"your-exa-key\", \n    observer=observer, \n    max_results=5\n)\n\n# 创建知识库工具\nkb_tool = KnowledgeBaseSearchTool(\n    top_k=5, \n    observer=observer\n)\n```\n\n### 🤖 构建智能体\n\n```python\n# 使用工具和模型创建智能体\nagent = CoreAgent(\n    observer=observer,\n    tools=[search_tool, kb_tool],\n    model=model,\n    name=\"my_agent\",\n    max_steps=5\n)\n```\n\n### 🚀 运行智能体\n\n```python\n# 用你的问题运行智能体\nagent.run(\"你的问题\")\n\n```\n\n## 📡 使用 agent_run（推荐的流式运行方式）\n\n当需要在服务端或前端以“事件流”方式消费消息时，使用 `agent_run`。它在后台线程执行智能体，并从 `MessageObserver` 持续产出 JSON 字符串，便于 UI 展示与日志采集。\n\n```python\nimport json\nimport asyncio\nfrom threading import Event\n\nfrom nexent.core.agents.run_agent import agent_run\nfrom nexent.core.agents.agent_model import AgentRunInfo, AgentConfig, ModelConfig\nfrom nexent.core.utils.observer import MessageObserver\n\nasync def main():\n    observer = MessageObserver(lang=\"zh\")\n    stop_event = Event()\n\n    model_config = ModelConfig(\n        cite_name=\"gpt-4\",\n        api_key=\"<YOUR_API_KEY>\",\n        model_name=\"Qwen/Qwen2.5-32B-Instruct\",\n        url=\"https://api.siliconflow.cn/v1\",\n    )\n\n    agent_config = AgentConfig(\n        name=\"example_agent\",\n        description=\"An example agent\",\n        tools=[],\n        max_steps=5,\n        model_name=\"gpt-4\",\n    )\n\n    agent_run_info = AgentRunInfo(\n        query=\"strrawberry中出现了多少个字母r\",\n        model_config_list=[model_config],\n        observer=observer,\n        agent_config=agent_config,\n        stop_event=stop_event\n    )\n\n    async for message in agent_run(agent_run_info):\n        message_data = json.loads(message)\n        print(message_data)  # 每条都是 JSON 字符串\n\nasyncio.run(main())\n```\n\n### 🛰️ 消息流格式\n\n- `type`：消息类型（对应 `ProcessType`，如 `STEP_COUNT`、`MODEL_OUTPUT_THINKING`、`PARSE`、`EXECUTION_LOGS`、`FINAL_ANSWER`、`ERROR`）\n- `content`：文本内容\n- `agent_name`（可选）：产出该消息的智能体\n\n### 🧠 传入历史（可选）\n\n```python\nfrom nexent.core.agents.agent_model import AgentHistory\n\nhistory = [\n    AgentHistory(role=\"user\", content=\"你好\"),\n    AgentHistory(role=\"assistant\", content=\"你好，我能帮你做什么？\"),\n]\n\nagent_run_info = AgentRunInfo(\n    # ...\n    history=history,\n)\n```\n\n### 🌐 MCP 工具集成（可选）\n\n```python\nagent_run_info = AgentRunInfo(\n    # ...\n    mcp_host=[\"http://localhost:3000\"],  # 或包含 url/transport 的 dict\n)\n```\n\n### ⏹️ 优雅中断\n\n```python\nstop_event.set()  # 智能体会在当前步完成后停止\n```\n\n## 🔧 配置选项\n\n### ⚙️ 智能体配置\n\n```python\nagent = CoreAgent(\n    observer=observer,\n    tools=[search_tool, kb_tool],\n    model=model,\n    name=\"my_agent\",\n    max_steps=10,  # 最大执行步骤\n)\n```\n\n### 🔧 工具配置\n\n```python\n# 使用特定参数配置搜索工具\nsearch_tool = ExaSearchTool(\n    exa_api_key=\"your-exa-key\",\n    observer=observer,\n    max_results=10,  # 搜索结果数量\n)\n```\n\n## 📚 更多资源\n\n- **[流式运行 agent_run](#使用-agent_run推荐的流式运行方式)**\n- **[工具开发指南](./core/tools)**\n- **[模型架构指南](./core/models)**\n- **[智能体模块](./core/agents)** "
  },
  {
    "path": "doc/docs/zh/sdk/core/agents.md",
    "content": "# AI 智能体开发概览\n\nNexent 提供全面的 AI 智能体开发和部署框架，具备高级功能，包括工具集成、推理和多模态交互。\n\n## 🏗️ 智能体架构\n\n### 核心组件\n\n#### NexentAgent - 企业级智能体框架\nNexent 智能体系统的核心，提供完整的智能体解决方案：\n\n- **多模型支持**: 支持 OpenAI、视觉语言模型、长上下文模型等\n- **MCP 集成**: 无缝集成 Model Context Protocol 工具生态\n- **动态工具加载**: 支持本地工具和 MCP 工具的动态创建和管理\n- **分布式执行**: 基于线程池和异步架构的高性能执行引擎\n- **状态管理**: 完善的任务状态追踪和错误恢复机制\n\n#### CoreAgent - 代码执行引擎\n继承并增强了 SmolAgents 的 `CodeAgent`，提供以下关键能力：\n\n- **Python代码执行**: 支持解析和执行Python代码，能够动态处理任务\n- **多语言支持**: 内置中英文提示词模板，可根据需要切换语言\n- **流式输出**: 通过 MessageObserver 实现模型输出的实时流式显示\n- **步骤追踪**: 记录并展示Agent执行的每个步骤，便于调试和监控\n- **中断控制**: 支持任务中断和优雅停止机制\n- **错误处理**: 完善的错误处理机制，提高稳定性\n- **状态管理**: 维护和传递执行状态，支持复杂任务的连续处理\n\nCoreAgent 实现了ReAct框架的思考-行动-观察循环：\n1. **思考**: 使用大语言模型生成解决方案代码\n2. **行动**: 执行生成的Python代码\n3. **观察**: 收集执行结果和日志\n4. **重复**: 根据观察结果继续思考和执行，直到任务完成\n\n### 📡 MessageObserver - 流式消息处理\n消息观察者模式的核心实现，用于处理 Agent 的流式输出：\n\n- **流式输出捕获**: 实时捕获模型生成的token\n- **过程类型区分**: 根据不同的处理阶段（模型输出、代码解析、执行日志等）格式化输出\n- **多语言支持**: 支持中英文输出格式\n- **统一接口**: 为不同来源的消息提供统一处理方式\n\nProcessType枚举定义了以下处理阶段：\n- `STEP_COUNT`: 当前执行步骤\n- `MODEL_OUTPUT_THINKING`: 模型思考过程输出\n- `MODEL_OUTPUT_CODE`: 模型代码生成输出\n- `PARSE`: 代码解析结果\n- `EXECUTION_LOGS`: 代码执行结果\n- `AGENT_NEW_RUN`: Agent基本信息\n- `FINAL_ANSWER`: 最终总结结果\n- `SEARCH_CONTENT`: 搜索结果内容\n- `PICTURE_WEB`: 网络图片处理结果\n\n## 🤖 智能体开发\n\n具体的代码示例已集中到 [基本使用](../basic-usage#使用-agent_run推荐的流式运行方式)，其中包含 `CoreAgent.run` 与流式的 `agent_run`。本页仅保留模块层面的概念和能力描述。\n\n## 🛠️ 工具集成\n\n### 自定义工具开发\n\nNexent 基于 [Model Context Protocol (MCP)](https://github.com/modelcontextprotocol/python-sdk) 实现工具系统。\n\n#### 开发新工具:\n1. 在 `backend/mcp_service/local_mcp_service.py` 实现逻辑\n2. 用 `@mcp.tool()` 装饰器注册\n3. 重启 MCP 服务\n\n#### 示例:\n```python\n@mcp.tool(name=\"my_tool\", description=\"我的自定义工具\")\ndef my_tool(param1: str, param2: int) -> str:\n    # 实现工具逻辑\n    return f\"处理结果: {param1} {param2}\"\n```\n\n## 🎯 智能体执行模式\n\n### ReAct 模式\n问题解决智能体的标准执行模式：\n1. **推理**: 分析问题并制定方法\n2. **行动**: 执行工具或生成代码\n3. **观察**: 检查结果和输出\n4. **迭代**: 继续直到任务完成\n\n### 多智能体协作\n- **分层智能体**: 管理智能体协调工作智能体\n- **专业智能体**: 特定任务的领域专用智能体\n- **通信协议**: 智能体间的标准化消息传递\n\n### 错误处理和恢复\n- **优雅降级**: 工具失败时的备选策略\n- **状态持久化**: 保存智能体状态以便恢复\n- **重试机制**: 带退避策略的自动重试\n\n## ⚡ 性能优化\n\n### 执行效率\n- **并行工具执行**: 独立工具的并发运行\n- **缓存策略**: 缓存模型响应和工具结果\n- **资源管理**: 高效的内存和计算使用\n\n### 监控和调试\n- **执行跟踪**: 智能体决策的详细日志\n- **性能指标**: 时间和资源使用追踪\n- **调试模式**: 开发时的详细输出\n\n## 📋 最佳实践\n\n### 智能体设计\n1. **明确目标**: 定义具体、可测量的智能体目标\n2. **适当工具**: 选择与智能体能力匹配的工具\n3. **强大提示词**: 创建全面的系统提示词\n4. **错误处理**: 实现全面的错误恢复\n\n### 开发工作流\n1. **迭代开发**: 增量构建和测试\n2. **提示词工程**: 基于测试结果优化提示词\n3. **工具测试**: 集成前验证单个工具\n4. **性能测试**: 监控和优化执行速度\n\n### 生产部署\n1. **资源分配**: 确保充足的计算资源\n2. **监控设置**: 实现全面的日志和告警\n3. **扩展策略**: 规划增加的负载和使用\n4. **安全考虑**: 验证输入并保护API访问\n\n详细的实现示例和高级模式，请参阅 [开发者指南](../../developer-guide/overview)。"
  },
  {
    "path": "doc/docs/zh/sdk/core/models.md",
    "content": "# Nexent 模型模块\n\n本模块提供了多种AI模型服务，包括语音服务、嵌入模型、大语言模型和视觉语言模型。每个模型都遵循统一的接口设计，支持配置管理和错误处理。\n\n## 📋 目录\n\n- [语音服务 (STT & TTS)](#语音服务-stt--tts)\n- [嵌入模型](#嵌入模型)\n- [大语言模型](#大语言模型)\n- [视觉语言模型](#视觉语言模型)\n\n## 🎤 语音服务 (STT & TTS)\n\n本模块提供了一个统一的语音服务，在单个端口上同时运行语音识别(STT)和语音合成(TTS)服务，使用WebSocket进行实时通信。\n\n### 功能特点\n\n- **语音识别(STT)**: 通过WebSocket连接进行实时音频转写\n- **语音合成(TTS)**: 通过WebSocket流式传输将文本转换为音频\n- **单一端口**: 两种服务在同一端口上运行，简化部署和使用\n- **仅WebSocket**: 两种服务使用一致的WebSocket API模式\n- **流式处理**: 支持实时流式音频识别和合成，提供低延迟体验\n- **错误处理**: 完善的错误处理和状态反馈机制\n\n### 设置\n\n1. 创建一个包含API凭证的`.env`文件:\n\n```\n# STT配置\nAPPID=your_stt_appid\nTOKEN=your_token\n\n# TTS配置\nAPPID=your_tts_appid\nTOKEN=your_tts_token\nCLUSTER=your_cluster\nVOICE_TYPE=your_voice_type\n```\n\n### API端点\n\n#### 语音识别(STT)\n\n- WebSocket: `/stt/ws`\n  - **请求格式**: 以二进制块流式传输PCM音频数据\n  - **音频要求**: 16kHz采样率, 16位深度, 单声道, PCM原始格式\n  - **响应格式**: 实时JSON转写结果\n  - **响应字段**:\n    - `result` 或 `trans_result.text`: 识别的文本\n    - `is_final`: 是否为最终结果\n    - `status`: 服务状态信息\n    - `error`: 如有错误，包含错误信息\n\n#### 语音合成(TTS)\n\n- WebSocket: `/tts/ws`\n  - **请求格式**: 发送JSON格式的文本: `{\"text\": \"要合成的文本\"}`\n  - **响应格式**: 二进制音频块 (默认为MP3格式)\n  - **完成信号**: 最终消息: `{\"status\": \"completed\"}`\n  - **错误响应**: `{\"error\": \"错误信息\"}`\n\n## 🔗 嵌入模型\n\n嵌入模型提供了将文本、图像等多种数据类型转换为向量表示的能力，支持多种后端服务。\n\n### 功能特点\n\n-   **多后端支持**: 支持Jina和OpenAI等多种嵌入服务。\n-   **统一文本接口**: 所有模型均提供统一的 `get_embeddings` 方法，接受字符串或字符串列表作为输入，方便处理纯文本数据。\n-   **多模态能力**: 像 `JinaEmbedding` 这样的多模态模型，额外提供了 `get_multimodal_embeddings` 方法，可以处理包含文本和图像URL的复杂输入。\n-   **配置灵活**: 支持通过参数或环境变量进行配置。\n-   **连接测试**: 内置 `check_connectivity()` 方法，用于验证与API服务的连接状态。\n\n### 使用示例\n\n#### 获取文本嵌入 (所有模型通用)\n\n所有嵌入模型都使用 `get_embeddings` 方法来获取文本的嵌入向量。此方法接受单个字符串或字符串列表。\n\n```python\nfrom nexent.core.models.embedding_model import JinaEmbedding, OpenAICompatibleEmbedding\n\n# 初始化Jina模型 (同样适用于OpenAICompatibleEmbedding)\nembedding = JinaEmbedding(api_key=\"your_jina_api_key\")\n\n# 获取单个文本的嵌入\ntext_input = \"Hello, Nexent!\"\nembeddings = embedding.get_embeddings(text_input)\nprint(f\"单文本嵌入向量数量: {len(embeddings)}\")\n\n# 获取多个文本的嵌入\ntext_list_input = [\"这是第一段文本。\", \"这是第二段文本。\"]\nembeddings_list = embedding.get_embeddings(text_list_input)\nprint(f\"多文本嵌入向量数量: {len(embeddings_list)}\")\n```\n\n#### 获取多模态嵌入 (JinaEmbedding)\n\n对于支持多模态输入的模型（如 `JinaEmbedding`），可以使用 `get_multimodal_embeddings` 方法来处理包含文本和图像的混合输入。\n\n```python\nfrom nexent.core.models.embedding_model import JinaEmbedding\n\n# 初始化Jina模型\nembedding = JinaEmbedding(api_key=\"your_jina_api_key\")\n\n# 定义包含文本和图像的多模态输入\nmultimodal_input = [\n    {\"text\": \"A beautiful sunset over the beach\"},\n    {\"image\": \"https://example.com/sunset.jpg\"}\n]\n\n# 获取多模态嵌入\nmultimodal_embeddings = embedding.get_multimodal_embeddings(multimodal_input)\nprint(f\"多模态嵌入向量数量: {len(multimodal_embeddings)}\")\n```\n\n\n## 🤖 大语言模型\n\n大语言模型提供了文本生成和对话能力，基于OpenAI API实现。\n\n### 功能特点\n\n- **流式输出**: 支持实时流式文本生成\n- **温度控制**: 可调节生成文本的随机性\n- **上下文管理**: 支持多轮对话和上下文保持\n- **工具调用**: 支持函数调用和工具使用\n\n### 使用示例\n\n```python\nfrom nexent.core.models.openai_llm import OpenAIModel\nfrom nexent.core.utils.observer import MessageObserver\n\n# 初始化模型\nobserver = MessageObserver()\nmodel = OpenAIModel(observer=observer, temperature=0.2, top_p=0.95)\n\n# 发送消息\nmessages = [{\"role\": \"user\", \"content\": \"Hello\"}]\nresponse = model(messages=messages)\n```\n\n## 👁️ 视觉语言模型\n\n视觉语言模型结合了图像理解和文本生成能力，支持图像描述和视觉问答。\n\n### 功能特点\n\n- **图像处理**: 支持本地图像文件和URL\n- **流式输出**: 支持实时流式文本生成\n- **提示词定制**: 可自定义系统提示词\n- **多模态理解**: 结合视觉和语言理解能力\n\n### 使用示例\n\n```python\nfrom nexent.core.models.openai_vlm import OpenAIVLModel\nfrom nexent.core.utils.observer import MessageObserver\n\n# 初始化模型\nobserver = MessageObserver()\nmodel = OpenAIVLModel(observer=observer)\n\n# 分析图像\nimage_path = \"path/to/image.jpg\"\nresult = model.analyze_image(image_path, system_prompt=\"请描述这张图片\")\n```\n\n## 🔧 通用特性\n\n所有模型都支持以下通用特性：\n\n### 错误处理\n\n- 连接错误捕获和处理\n- 服务状态监控和反馈\n- 客户端友好的错误消息\n\n### 配置管理\n\n- 环境变量配置\n- .env文件支持\n- 运行时配置覆盖\n\n### 连接测试\n\n所有模型都实现了`check_connectivity()`方法，用于测试与远程服务的连接状态：\n\n```python\n# 测试连接\nif model.check_connectivity():\n    print(\"服务连接正常\")\nelse:\n    print(\"服务连接失败\")\n``` "
  },
  {
    "path": "doc/docs/zh/sdk/core/multimodal.md",
    "content": "# 多模态模块\n\n本模块提供专为智能体设计的原生多模态数据处理总线，通过 `@load_object`、 `@save_object` 装饰器，支持文本、图像、音频、视频等多种数据格式的实时传输和处理，实现跨模态的无缝数据流转。\n\n## 📋 目录\n\n- [LoadSaveObjectManager 初始化](#loadsaveobjectmanager-初始化)\n- [@load_object装饰器](#@load_object装饰器)\n- [@save_object装饰器](#@save_object装饰器)\n- [组合使用示例](#组合使用示例)\n\n\n## LoadSaveObjectManager 初始化\n\n在使用装饰器之前，需要先初始化 `LoadSaveObjectManager` 实例，并传入存储客户端（如 MinIO 客户端）：\n\n```python\nfrom nexent.multi_modal.load_save_object import LoadSaveObjectManager\nfrom database.client import minio_client\n\n\n# 创建管理器实例\nMultimodal = LoadSaveObjectManager(storage_client=minio_client)\n```\n\n存储客户端也可以通过`sdk.nexent.storage.storage_client_base`中的`StorageClient`基类，实现自己的存储客户端。存储客户端需要实现以下方法：\n- `get_file_stream(object_name, bucket)`: 从存储中获取文件流（用于下载）\n- `upload_fileobj(file_obj, object_name, bucket)`: 上传文件对象到存储（用于保存）\n\n\n## @load_object装饰器\n\n`@load_object` 装饰器用于在被装饰函数执行前自动从 URL（S3、HTTP、HTTPS）下载文件，并将文件内容（或转换后的数据）传递给被装饰函数。\n\n### 功能特性 \n\n- **自动下载**: 自动识别并下载 S3、HTTP、HTTPS URL 指向的文件\n- **数据转换**: 支持通过自定义转换器将下载的字节数据转换为被装饰函数所需格式（如 PIL Image、文本等）\n- **批量处理**: 支持处理单个 URL 或 URL 列表\n\n\n### 参数说明\n\n- `input_names` (List[str]): : 需要处理的函数参数名称列表\n- `input_data_transformer` (Optional[List[Callable[[Any], bytes]]]): 可选的数据转换器列表，用于将下载的字节数据转换为所需格式\n\n### 支持的URL格式\n\n装饰器支持以下 URL 格式：\n\n- S3 URL\n  - `s3://bucket-name/object/file.jpg`\n  - `/bucket-name/object/file.jpg`（简化格式）\n- HTTP/HTTPS URL\n  - `http://example.com/file.jpg`\n  - `https://example.com/file.jpg`\n\n\n系统会自动检测 URL 类型：\n- 以 `http://` 开头 → HTTP URL\n- 以 `https://` 开头 → HTTPS URL\n- 以 `s3://` 开头或符合 `/bucket/object` 格式 → S3 URL\n\n### 使用示例\n\n#### 基础用法：下载为字节数据\n\n```python\n@Multimodal.load_object(input_names=[\"image_url\"])\ndef process_image(image_url: bytes):\n    \"\"\"file_url 参数会被自动替换为从 URL 下载的字节数据\"\"\"\n    print(f\"文件大小: {len(image_url)} bytes\")\n    return image_url\n\n# 调用process_file方法\nresult = process_image(image_url=f\"http://example/pic.PNG\")\n```\n\n#### 进阶用法：使用转换器将字节数据转换为所需格式\n\n若被装饰函数的入参不是字节数据，而是其他数据类型的数据（如PIL Image）。可以定义一个数据转换的函数（如bytes_to_pil）并将函数名作为入参传给装饰器。\n\n```python\nimport io\nimport PIL\nfrom PIL import Image\n\ndef bytes_to_pil(binary_data):\n    image_stream = io.BytesIO(binary_data)\n    img = Image.open(image_stream)\n    return img\n\n@Multimodal.load_object(\n    input_names=[\"image_url\"],\n    input_data_transformer=[bytes_to_pil]\n)\ndef process_image(image_url: Image.Image):\n    \"\"\"image_url 参数会被自动转换为 PIL Image 对象\"\"\"\n    resized = image_url.resize((800, 600))\n    return resized\n\n# 调用process_file方法\nresult = process_image(image_url=f\"http://example/pic.PNG\")\n```\n\n#### 处理多个输入\n\n```python\n@Multimodal.load_object(\n    input_names=[\"image_url1\", \"image_url2\"],\n    input_data_transformer=[bytes_to_pil, bytes_to_pil]\n)\ndef process_two_images(image_url1: Image.Image, image_url2: Image.Image):\n    \"\"\"两个图片 URL 都会被下载并转换为 PIL Image\"\"\"\n    combined = Image.new('RGB', (1600, 600))\n    combined.paste(image_url1, (0, 0))\n    combined.paste(image_url2, (800, 0))\n    return combined\n\n# 调用process_file方法\nresult = process_two_images(image_url1=f\"http://example/pic1.PNG\", image_url2=f\"http://example/pic2.PNG\")\n```\n\n#### 处理 URL 列表\n\n```python\n@Multimodal.load_object(\n    input_names=[\"image_urls\"],\n    input_data_transformer=[bytes_to_pil]\n)\ndef process_image_list(image_urls: List[Image.Image]):\n    \"\"\"支持传入 URL 列表，每个 URL 都会被下载并转换\"\"\"\n    results = []\n    for img in image_urls:\n        results.append(img.resize((200, 200)))\n    return results\n\n# 调用process_file方法\nresult = process_image_list(image_urls=[\"http://example/pic1.PNG\", \"http://example/pic2.PNG\"])\n```\n\n\n## @save_object装饰器\n\n`@save_object` 装饰器用于在被装饰函数执行后自动将返回值上传到存储（MinIO），并返回 S3 URL。\n\n### 功能特性\n\n- **自动上传**: 自动将被装饰函数返回值上传到 MinIO 存储\n- **数据转换**: 支持通过转换器将返回值转换为字节数据（如 PIL Image 转 bytes）\n- **批量处理**: 支持处理单个返回值或多个返回值（tuple）\n- **URL 返回**: 返回 S3 URL 格式（`s3://bucket/object_name`）\n\n### 参数说明\n\n- `output_names` (List[str]): 被装饰器函数的输出参数的名称列表\n- `output_transformers` (Optional[List[Callable[[Any], bytes]]]): 可选的数据转换器列表，用于将返回值转换为字节数据\n- `bucket` (str): 存储桶名称，默认为 `\"nexent\"`\n\n### 使用示例\n\n#### 基础用法：直接保存字节数据\n\n```python\n@Multimodal.save_object(\n    output_names=[\"content\"]\n)\ndef generate_file() -> bytes:\n    \"\"\"返回的字节数据会被自动上传到 MinIO\"\"\"\n    content = b\"Hello, World!\"\n    return content\n```\n\n#### 进阶用法: 使用转换器将函数返回值转换为字节数据\n\n若被装饰函数的出参不是字节数据，而是其他数据类型的数据（如PIL Image）。可以定义一个数据转换的函数（如pil_to_bytes）并将函数名作为入参传给装饰器。\n\n\n```python\n# 定义将PIL对象转换为Bytes的转换器函数\ndef pil_to_bytes(img, format=None):\n    \"\"\"\n    Convert PIL Image to binary data (bytes)\n\n    Args:\n        img: PIL.Image object\n        format: Output format ('JPEG', 'PNG', 'BMP', 'WEBP', etc.).\n               If None, uses the image's original format or defaults to PNG.\n\n    Returns:\n        bytes: Binary data of the image\n    \"\"\"\n    if img is None:\n        raise ValueError(\"Input image cannot be None\")\n\n    # Create memory buffer\n    buffer = io.BytesIO()\n\n    # Determine format to use\n    if format is None:\n        # Use image's original format if available, otherwise default to PNG\n        format = img.format if img.format else 'PNG'\n\n    # Save image to buffer with specified format\n    # For JPEG, ensure RGB mode (no transparency)\n    if format.upper() == 'JPEG' and img.mode in ('RGBA', 'LA', 'P'):\n        # Convert to RGB for JPEG compatibility\n        rgb_img = Image.new('RGB', img.size, (255, 255, 255))\n        if img.mode == 'P':\n            img = img.convert('RGBA')\n        rgb_img.paste(img, mask=img.split()[-1] if img.mode in ('RGBA', 'LA') else None)\n        rgb_img.save(buffer, format=format)\n    else:\n        img.save(buffer, format=format)\n\n    # Get binary data\n    binary_data = buffer.getvalue()\n    buffer.close()\n\n    return binary_data\n\n\n@Multimodal.save_object(\n    output_names=[\"processed_image\"],\n    output_transformers=[pil_to_bytes]\n)\ndef process_image(image: Image.Image) -> Image.Image:\n    \"\"\"返回的 PIL Image 会被转换为字节并上传\"\"\"\n    blurred = image.filter(ImageFilter.GaussianBlur(radius=5))\n    return blurred\n```\n\n#### 返回多个文件\n\n```python\n@Multimodal.save_object(\n    output_names=[\"resized1\", \"resized2\"],\n    output_transformers=[pil_to_bytes, pil_to_bytes]\n)\ndef process_two_images(img1: Image.Image, img2: Image.Image) -> Tuple[Image.Image, Image.Image]:\n    \"\"\"返回两个图片，都会被上传并返回对应的 S3 URL\"\"\"\n    resized1 = img1.resize((800, 600))\n    resized2 = img2.resize((800, 600))\n    return resized1, resized2\n```\n\n### 返回值格式\n\n- 单个返回值：返回单个 S3 URL 字符串，格式为 `s3://bucket/object_name`\n- 多个返回值（tuple）：返回 tuple，每个元素是对应的 S3 URL\n\n### 注意事项\n\n- 如果没有提供转换器，被装饰函数的返回值必须是 `bytes` 类型\n- 如果提供了转换器，转换器必须返回 `bytes` 类型\n- 返回值的数量必须与 `output_names` 的长度一致\n\n\n## 组合使用示例\n\n在实际应用中，通常会将 `@load_object` 和 `@save_object` 组合使用，实现完整的\"下载-处理-上传\"流程：\n\n```python\nfrom PIL import Image, ImageFilter\nfrom typing import Union, List\nfrom database.client import minio_client\nfrom multi_modal.load_save_object import LoadSaveObjectManager\n\nMultimodal = LoadSaveObjectManager(storage_client=minio_client)\n\n@Multimodal.load_object(\n    input_names=[\"image_url\"],\n    input_data_transformer=[bytes_to_pil]\n)\n@Multimodal.save_object(\n    output_names=[\"blurred_image\"],\n    output_transformers=[pil_to_bytes]\n)\ndef blur_image_tool(\n    image_url: Union[str, List[str]],\n    blur_radius: int = 5\n) -> Image.Image:\n    \"\"\"\n    对图片应用高斯模糊滤镜\n    \n    Args:\n        image_url: 图片的 S3 URL 或 HTTP/HTTPS URL\n        blur_radius: 模糊半径（默认 5，范围 1-50）\n    \n    Returns:\n        处理后的 PIL Image 对象（会被自动上传并返回 S3 URL）\n    \"\"\"\n    # 此时 image_url 已经是 PIL Image 对象\n    if image_url is None:\n        raise ValueError(\"Failed to load image\")\n    \n    # 验证并限制模糊半径\n    blur_radius = max(1, min(50, blur_radius))\n    \n    # 应用模糊滤镜\n    blurred_image = image_url.filter(ImageFilter.GaussianBlur(radius=blur_radius))\n    \n    # 返回 PIL Image（会被 @save_object 自动上传）\n    return blurred_image\n\n# 使用示例\nresult_url = blur_image_tool(\n    image_url=\"s3://nexent/images/input.png\",\n    blur_radius=10\n)\n# result_url 是 \"s3://nexent/attachments/xxx.png\"\n```"
  },
  {
    "path": "doc/docs/zh/sdk/core/tools.md",
    "content": "# Nexent 工具开发规范\n\n本文档基于对现有工具的分析，总结了 Nexent SDK 中工具开发的完整规范和最佳实践。\n\n## 📂 工具分类\n\n当前 SDK 包含以下工具类型：\n\n### 搜索工具\n- **ExaSearchTool**: 基于 EXA API 的网络搜索工具\n- **TavilySearchTool**: 基于 Tavily API 的网络搜索工具\n- **LinkupSearchTool**: 基于 Linkup API 的搜索工具\n- **KnowledgeBaseSearchTool**: 本地知识库搜索工具\n\n### 文件管理工具\n- **CreateFileTool**: 创建包含内容的新文件\n- **ReadFileTool**: 从文件系统读取文件内容\n- **DeleteFileTool**: 从文件系统删除文件\n- **MoveItemTool**: 移动或重命名文件和目录\n- **CreateDirectoryTool**: 创建新目录\n- **DeleteDirectoryTool**: 删除目录及其内容\n- **ListDirectoryTool**: 列出目录内容和详细信息\n\n### 系统工具\n- **TerminalTool**: 执行 shell 命令和系统操作\n\n### 通信工具\n- **GetEmailTool**: 通过 IMAP 的邮件获取工具\n- **SendEmailTool**: 通过 SMTP 的邮件发送工具\n\n### 多模态工具\n- **AnalyzeTextFileTool**: 基于数据处理和大语言模型的文档问答工具\n- **AnalyzeImageTool**: 基于视觉语言模型的图片问答工具\n\n## 🔧 工具共性特征\n\n### 1. 基础架构\n- **基类继承**: 所有工具必须继承自 `smolagents.tools.Tool`\n- **参数管理**: 使用 `pydantic.Field` 进行参数定义和验证\n- **流式输出**: 集成 `MessageObserver` 支持实时消息传递\n- **多语言支持**: 内置中英文双语提示信息\n\n### 2. 核心属性\n每个工具类必须包含以下类属性：\n\n```python\nclass ToolExample(Tool):\n    name = \"tool_name\"                    # 工具唯一标识符\n    description = \"工具功能描述\"          # 详细功能说明\n    inputs = {                           # 输入参数定义\n        \"param\": {\"type\": \"string\", \"description\": \"参数描述\"}\n    }\n    output_type = \"string\"               # 输出类型\n    tool_sign = \"x\"                      # 工具标识符（可选）\n```\n\n### 3. 消息处理机制\n- **ProcessType 枚举**: 使用不同类型区分消息（TOOL, CARD, SEARCH_CONTENT, PICTURE_WEB 等）\n- **Observer 模式**: 通过 MessageObserver 实现实时消息推送\n- **JSON 格式**: 所有消息内容使用 JSON 格式确保一致性\n\n### 4. 异常处理策略\n- **统一异常**: 使用 Exception 抛出错误信息\n- **错误日志**: 使用 logging 模块记录详细错误信息\n- **优雅降级**: 在可能的情况下提供备选方案\n\n## 📝 命名规范\n\n### 文件命名\n- **格式**: `{功能名}_tool.py`\n- **风格**: 小写字母，单词间用下划线连接\n- **示例**: `exa_search_tool.py`, `knowledge_base_search_tool.py`\n\n### 类命名\n- **格式**: `{功能名}Tool`\n- **风格**: 大驼峰命名法（PascalCase）\n- **示例**: `ExaSearchTool`, `KnowledgeBaseSearchTool`\n\n### 属性和方法命名\n- **格式**: 小写字母，单词间用下划线连接\n- **私有方法**: 以单下划线开头（如 `_filter_images`）\n- **示例**: `max_results`, `running_prompt_en`, `_decode_subject`\n\n### 工具标识符规范\n- **tool_sign**: 单字母标识符，用于区分工具来源\n- **分配规则**:\n  - `a`: 知识库搜索 (KnowledgeBaseSearchTool)\n  - `b`: 网络搜索 (ExaSearchTool, TavilySearchTool)\n  - `l`: Linkup搜索 (LinkupSearchTool)\n  - 其他字母按功能类型分配\n\n## 🏗️ 代码结构模板\n\n### 基础模板\n\n```python\nimport json\nimport logging\nfrom typing import Optional\nfrom smolagents.tools import Tool\nfrom pydantic import Field\n\nfrom ..utils.observer import MessageObserver, ProcessType\n\nlogger = logging.getLogger(\"your_tool_name\")\n\nclass YourTool(Tool):\n    name = \"your_tool\"\n    description = \"工具功能的详细描述，说明适用场景和使用方法\"\n    inputs = {\n        \"param1\": {\n            \"type\": \"string\", \n            \"description\": \"参数1的详细描述\"\n        },\n        \"param2\": {\n            \"type\": \"integer\", \n            \"description\": \"参数2的详细描述\", \n            \"default\": 10, \n            \"nullable\": True\n        }\n    }\n    output_type = \"string\"\n    tool_sign = \"y\"  # 选择合适的标识符\n\n    def __init__(\n        self,\n        config_param: str = Field(description=\"配置参数\"),\n        observer: MessageObserver = Field(description=\"消息观察者\", default=None, exclude=True),\n        optional_param: int = Field(description=\"可选参数\", default=5)\n    ):\n        super().__init__()\n        self.config_param = config_param\n        self.observer = observer\n        self.optional_param = optional_param\n        \n        # 多语言提示信息\n        self.running_prompt_zh = \"正在执行...\"\n        self.running_prompt_en = \"Processing...\"\n        \n        # 记录操作序号（如果需要）\n        self.record_ops = 0\n\n    def forward(self, param1: str, param2: int = 10) -> str:\n        \"\"\"工具的主要执行方法\n        \n        Args:\n            param1: 参数1说明\n            param2: 参数2说明\n            \n        Returns:\n            JSON格式的字符串结果\n            \n        Raises:\n            Exception: 详细的错误信息\n        \"\"\"\n        try:\n            # 发送工具运行消息\n            if self.observer:\n                running_prompt = (self.running_prompt_zh \n                                if self.observer.lang == \"zh\" \n                                else self.running_prompt_en)\n                self.observer.add_message(\"\", ProcessType.TOOL, running_prompt)\n                \n                # 发送卡片信息（可选）\n                card_content = [{\"icon\": \"your_icon\", \"text\": param1}]\n                self.observer.add_message(\"\", ProcessType.CARD, \n                                        json.dumps(card_content, ensure_ascii=False))\n\n            # 主要业务逻辑\n            result = self._execute_main_logic(param1, param2)\n            \n            # 处理结果并返回\n            return self._format_result(result)\n            \n        except Exception as e:\n            logger.error(f\"Error in {self.name}: {str(e)}\")\n            raise Exception(f\"执行{self.name}时发生错误: {str(e)}\")\n\n    def _execute_main_logic(self, param1: str, param2: int):\n        \"\"\"执行主要业务逻辑的私有方法\"\"\"\n        # 实现具体的业务逻辑\n        pass\n\n    def _format_result(self, result) -> str:\n        \"\"\"格式化返回结果\"\"\"\n        formatted_result = {\n            \"status\": \"success\",\n            \"data\": result,\n            \"tool\": self.name\n        }\n        return json.dumps(formatted_result, ensure_ascii=False)\n```\n\n### 搜索工具模板\n\n```python\nimport json\nimport logging\nfrom typing import List\nfrom smolagents.tools import Tool\nfrom pydantic import Field\n\nfrom ..utils.observer import MessageObserver, ProcessType\nfrom ..utils.tools_common_message import SearchResultTextMessage\n\nlogger = logging.getLogger(\"search_tool_name\")\n\nclass SearchTool(Tool):\n    name = \"search_tool\"\n    description = \"搜索工具的详细描述，包括搜索范围和适用场景\"\n    inputs = {\n        \"query\": {\"type\": \"string\", \"description\": \"搜索查询\"},\n        \"max_results\": {\"type\": \"integer\", \"description\": \"最大结果数\", \"default\": 5, \"nullable\": True}\n    }\n    output_type = \"string\"\n    tool_sign = \"s\"\n\n    def __init__(\n        self,\n        api_key: str = Field(description=\"API密钥\"),\n        observer: MessageObserver = Field(description=\"消息观察者\", default=None, exclude=True),\n        max_results: int = Field(description=\"最大搜索结果数\", default=5)\n    ):\n        super().__init__()\n        self.api_key = api_key\n        self.observer = observer\n        self.max_results = max_results\n        self.record_ops = 0\n        \n        self.running_prompt_zh = \"搜索中...\"\n        self.running_prompt_en = \"Searching...\"\n\n    def forward(self, query: str, max_results: int = None) -> str:\n        if max_results is None:\n            max_results = self.max_results\n            \n        # 发送搜索状态消息\n        if self.observer:\n            running_prompt = (self.running_prompt_zh \n                            if self.observer.lang == \"zh\" \n                            else self.running_prompt_en)\n            self.observer.add_message(\"\", ProcessType.TOOL, running_prompt)\n            card_content = [{\"icon\": \"search\", \"text\": query}]\n            self.observer.add_message(\"\", ProcessType.CARD, \n                                    json.dumps(card_content, ensure_ascii=False))\n\n        try:\n            # 执行搜索\n            search_results = self._perform_search(query, max_results)\n            \n            if not search_results:\n                raise Exception(\"未找到搜索结果！请尝试更短或更宽泛的查询。\")\n\n            # 格式化搜索结果\n            formatted_results = self._format_search_results(search_results)\n            \n            # 记录搜索内容\n            if self.observer:\n                search_results_data = json.dumps(formatted_results[\"json\"], ensure_ascii=False)\n                self.observer.add_message(\"\", ProcessType.SEARCH_CONTENT, search_results_data)\n            \n            return json.dumps(formatted_results[\"return\"], ensure_ascii=False)\n            \n        except Exception as e:\n            logger.error(f\"搜索错误: {str(e)}\")\n            raise Exception(f\"搜索失败: {str(e)}\")\n\n    def _perform_search(self, query: str, max_results: int):\n        \"\"\"执行实际的搜索操作\"\"\"\n        # 实现具体的搜索逻辑\n        pass\n\n    def _format_search_results(self, results):\n        \"\"\"格式化搜索结果为统一格式\"\"\"\n        search_results_json = []\n        search_results_return = []\n        \n        for index, result in enumerate(results):\n            search_result_message = SearchResultTextMessage(\n                title=result.get(\"title\", \"\"),\n                url=result.get(\"url\", \"\"),\n                text=result.get(\"content\", \"\"),\n                published_date=result.get(\"date\", \"\"),\n                source_type=\"url\",\n                filename=\"\",\n                score=result.get(\"score\", \"\"),\n                score_details=result.get(\"score_details\", {}),\n                cite_index=self.record_ops + index,\n                search_type=self.name,\n                tool_sign=self.tool_sign\n            )\n            search_results_json.append(search_result_message.to_dict())\n            search_results_return.append(search_result_message.to_model_dict())\n        \n        self.record_ops += len(search_results_return)\n        \n        return {\n            \"json\": search_results_json,\n            \"return\": search_results_return\n        }\n```\n\n## 🔄 开发流程规范\n\n### 1. 开发前准备\n- 确定工具功能和适用场景\n- 选择合适的工具分类和标识符\n- 检查是否与现有工具功能重复\n\n### 2. 实现步骤\n1. **创建工具文件**: 按命名规范创建 `{name}_tool.py`\n2. **定义类结构**: 继承 Tool 基类，定义必要属性\n3. **实现构造函数**: 使用 pydantic Field 定义参数\n4. **实现 forward 方法**: 核心功能逻辑\n5. **添加私有方法**: 将复杂逻辑拆分为私有方法\n6. **集成消息观察者**: 支持流式输出和多语言\n7. **异常处理**: 完善的错误处理和日志记录\n\n### 3. 测试和集成\n1. **单元测试**: 测试各种输入情况和边界条件\n2. **集成测试**: 与 CoreAgent 集成测试\n3. **更新导出**: 在 `__init__.py` 中添加工具导出\n4. **文档更新**: 更新相关文档和示例\n\n## ⭐ 最佳实践\n\n### 1. 性能优化\n- **异步处理**: 对于耗时操作使用异步处理\n- **连接池**: 复用网络连接减少延迟\n- **缓存机制**: 适当使用缓存提升响应速度\n- **并发控制**: 使用 Semaphore 控制并发请求数\n\n### 2. 安全性\n- **输入验证**: 严格验证输入参数\n- **敏感信息**: API密钥等敏感信息不应出现在日志中\n- **错误信息**: 避免在错误信息中泄露敏感信息\n- **超时控制**: 设置合理的超时时间防止阻塞\n\n### 3. 可维护性\n- **模块化设计**: 将复杂功能拆分为多个方法\n- **清晰注释**: 为复杂逻辑添加详细注释\n- **类型注解**: 使用完整的类型注解\n- **文档字符串**: 为所有公共方法添加文档字符串\n\n### 4. 用户体验\n- **多语言支持**: 提供中英文双语提示\n- **进度反馈**: 通过 MessageObserver 提供实时反馈\n- **错误提示**: 提供清晰的错误信息和解决建议\n- **参数验证**: 在执行前验证参数有效性\n\n## ⚠️ 注意事项\n\n1. **版本兼容**: 确保工具与不同版本的依赖库兼容\n2. **资源清理**: 及时释放网络连接、文件句柄等资源\n3. **日志级别**: 合理设置日志级别，避免过多调试信息\n4. **配置管理**: 支持通过环境变量配置关键参数\n5. **错误恢复**: 在可能的情况下提供错误恢复机制\n\n通过遵循这些规范，可以确保新开发的工具与现有工具保持一致性，并具备良好的可维护性和可扩展性。\n"
  },
  {
    "path": "doc/docs/zh/sdk/data-process.md",
    "content": "# DataProcessCore 使用指南\n\n## 📋 概述\n\n`DataProcessCore` 是一个统一的文件处理核心类，支持多种文件格式的自动检测和处理，提供灵活的分块策略和多种输入源支持。\n\n## ⭐ 主要功能\n\n### 1. 核心处理方法：`file_process()`\n\n**函数签名：**\n```python\ndef file_process(self, \n                file_path_or_url: Optional[str] = None, \n                file_data: Optional[bytes] = None, \n                chunking_strategy: str = \"basic\", \n                destination: str = \"local\", \n                filename: Optional[str] = None, \n                **params) -> List[Dict]\n```\n\n**参数说明：**\n\n| 参数名 | 类型 | 必需 | 描述 | 可选值 |\n|--------|------|------|------|--------|\n| `file_path_or_url` | `str` | 否* | 本地文件路径或远程URL | 任何有效的文件路径或URL |\n| `file_data` | `bytes` | 否* | 文件的字节数据（用于内存处理） | 任何有效的字节数据 |\n| `chunking_strategy` | `str` | 否 | 分块策略 | `\"basic\"`, `\"by_title\"`, `\"none\"` |\n| `destination` | `str` | 否 | 目标类型，指示文件来源 | `\"local\"`, `\"minio\"`, `\"url\"` |\n| `filename` | `str` | 否** | 文件名 | 任何有效的文件名 |\n| `**params` | `dict` | 否 | 额外的处理参数 | 见下方参数详情 |\n\n*注：`file_path_or_url` 和 `file_data` 必须提供其中一个\n**注：使用 `file_data` 时，`filename` 为必需参数\n\n**分块策略 (`chunking_strategy`) 详解：**\n\n| 策略值 | 描述 | 适用场景 | 输出特点 |\n|--------|------|----------|----------|\n| `\"basic\"` | 基础分块策略 | 大多数文档处理场景 | 根据内容长度自动分块 |\n| `\"by_title\"` | 按标题分块 | 结构化文档（如技术文档、报告） | 以标题为界限进行分块 |\n| `\"none\"` | 不分块 | 短文档或需要完整内容的场景 | 返回单个包含全部内容的块 |\n\n**目标类型 (`destination`) 详解：**\n\n| 目标值 | 描述 | 使用场景 | 要求 |\n|--------|------|----------|------|\n| `\"local\"` | 本地文件 | 处理本地存储的文件 | 提供有效的本地文件路径 |\n| `\"minio\"` | MinIO存储 | 处理云存储中的文件 | 需要数据库依赖 |\n| `\"url\"` | 远程URL | 处理网络资源 | 需要数据库依赖 |\n\n**额外参数 (`**params`) 详解：**\n\n| 参数名 | 类型 | 默认值 | 描述 | 适用处理器 |\n|--------|------|--------|------|-----------|\n| `max_characters` | `int` | `1500` | 每个块的最大字符数 | Generic |\n| `new_after_n_chars` | `int` | `1200` | 达到此字符数后开始新块 | Generic |\n| `strategy` | `str` | `\"fast\"` | 处理策略 | Generic |\n| `skip_infer_table_types` | `list` | `[]` | 跳过推断的表格类型 | Generic |\n| `task_id` | `str` | `\"\"` | 任务标识符 | Generic |\n\n**返回值格式：**\n\n返回 `List[Dict]`，每个字典包含以下字段：\n\n**通用字段：**\n| 字段名 | 类型 | 描述 | 示例 |\n|--------|------|------|------|\n| `content` | `str` | 文本内容 | `\"这是文档的第一段...\"` |\n| `path_or_url` | `str` | 文件路径或URL | `\"/path/to/file.pdf\"` |\n| `filename` | `str` | 文件名 | `\"document.pdf\"` |\n\n**Excel文件额外字段：**\n| 字段名 | 类型 | 描述 | 示例 |\n|--------|------|------|------|\n| `metadata` | `dict` | 元数据信息 | `{\"chunk_index\": 0, \"file_type\": \"xlsx\"}` |\n\n**Generic文件额外字段：**\n| 字段名 | 类型 | 描述 | 示例 |\n|--------|------|------|------|\n| `language` | `str` | 语言标识（可选） | `\"en\"` |\n| `metadata` | `dict` | 元数据信息（可选） | `{\"chunk_index\": 0}` |\n\n## 📁 支持的文件类型\n\n### Excel文件\n- `.xlsx` - Excel 2007及更高版本\n- `.xls` - Excel 97-2003版本\n\n### 通用文件\n- `.txt` - 纯文本文件\n- `.pdf` - PDF文档\n- `.docx` - Word 2007及更高版本\n- `.doc` - Word 97-2003版本\n- `.html`, `.htm` - HTML文档\n- `.md` - Markdown文件\n- `.rtf` - 富文本格式\n- `.odt` - OpenDocument文本\n- `.pptx` - PowerPoint 2007及更高版本\n- `.ppt` - PowerPoint 97-2003版本\n\n## 💡 使用示例\n\n### 示例1：处理本地文本文件\n```python\nfrom nexent.data_process import DataProcessCore\n\ncore = DataProcessCore()\n\n# 基础处理\nresult = core.file_process(\n    file_path_or_url=\"/path/to/document.txt\",\n    destination=\"local\",\n    chunking_strategy=\"basic\"\n)\n\nprint(f\"处理得到 {len(result)} 个块\")\nfor i, chunk in enumerate(result):\n    print(f\"块 {i}: {chunk['content'][:100]}...\")\n```\n\n### 示例2：处理Excel文件\n```python\n# 处理Excel文件\nresult = core.file_process(\n    file_path_or_url=\"/path/to/spreadsheet.xlsx\",\n    destination=\"local\",\n    chunking_strategy=\"none\"  # Excel通常不需要分块\n)\n\nfor chunk in result:\n    print(f\"文件: {chunk['filename']}\")\n    print(f\"内容: {chunk['content']}\")\n    print(f\"元数据: {chunk['metadata']}\")\n```\n\n### 示例3：处理内存中的文件\n```python\n# 读取文件到内存\nwith open(\"/path/to/document.pdf\", \"rb\") as f:\n    file_bytes = f.read()\n\n# 处理内存中的文件\nresult = core.file_process(\n    file_data=file_bytes,\n    filename=\"document.pdf\",\n    chunking_strategy=\"by_title\",\n    max_characters=2000  # 自定义参数\n)\n```\n\n### 示例4：处理远程文件（需要数据库依赖）\n```python\n# 处理MinIO中的文件\nresult = core.file_process(\n    file_path_or_url=\"minio://bucket/path/to/file.docx\",\n    destination=\"minio\",\n    filename=\"file.docx\",\n    chunking_strategy=\"basic\"\n)\n```\n\n## 🛠️ 辅助方法\n\n### 1. 获取支持的文件类型\n```python\ncore = DataProcessCore()\nsupported_types = core.get_supported_file_types()\nprint(\"Excel文件:\", supported_types[\"excel\"])\nprint(\"通用文件:\", supported_types[\"generic\"])\n```\n\n### 2. 验证文件类型\n```python\nis_supported = core.validate_file_type(\"document.pdf\")\nprint(f\"PDF文件是否支持: {is_supported}\")\n```\n\n### 3. 获取处理器信息\n```python\ninfo = core.get_processor_info(\"spreadsheet.xlsx\")\nprint(f\"处理器类型: {info['processor_type']}\")\nprint(f\"文件扩展名: {info['file_extension']}\")\nprint(f\"是否支持: {info['is_supported']}\")\n```\n\n### 4. 获取支持的策略和目标类型\n```python\nstrategies = core.get_supported_strategies()\ndestinations = core.get_supported_destinations()\nprint(f\"支持的分块策略: {strategies}\")\nprint(f\"支持的目标类型: {destinations}\")\n```\n\n## ⚠️ 错误处理\n\n### 常见异常\n\n| 异常类型 | 触发条件 | 解决方案 |\n|----------|----------|----------|\n| `ValueError` | 参数无效（如同时提供file_path_or_url和file_data） | 检查参数组合 |\n| `FileNotFoundError` | 本地文件不存在或远程文件无法获取 | 验证文件路径 |\n| `ImportError` | 处理远程文件时缺少数据库依赖 | 安装相关依赖 |\n\n### 错误处理示例\n```python\ntry:\n    result = core.file_process(\n        file_path_or_url=\"/nonexistent/file.txt\",\n        destination=\"local\"\n    )\nexcept FileNotFoundError as e:\n    print(f\"文件未找到: {e}\")\nexcept ValueError as e:\n    print(f\"参数错误: {e}\")\nexcept Exception as e:\n    print(f\"处理失败: {e}\")\n```\n\n## 🚀 性能优化建议\n\n1. **选择合适的分块策略**：\n   - 小文件使用 `\"none\"`\n   - 大文件使用 `\"basic\"`\n   - 结构化文档使用 `\"by_title\"`\n\n2. **调整分块参数**：\n   - 根据下游处理需求调整 `max_characters`\n   - 平衡处理速度和内存使用\n\n3. **文件类型优化**：\n   - Excel文件通常不需要分块\n   - PDF文件建议使用较大的 `max_characters`\n\n4. **批量处理**：\n   - 复用 `DataProcessCore` 实例\n   - 避免重复初始化\n\n## 🔄 数据流架构\n\nNexent 系统中的数据处理遵循以下流程模式：\n\n### 1. 用户请求流程\n```\n用户输入 → 前端验证 → API调用 → 后端路由 → 业务服务 → 数据访问 → 数据库\n```\n\n### 2. AI Agent执行流程\n```\n用户消息 → Agent创建 → 工具调用 → 模型推理 → 流式响应 → 结果保存\n```\n\n### 3. 知识库文件处理流程\n```\n文件上传 → 临时存储 → 数据处理 → 向量化 → 知识库存储 → 索引更新\n```\n\n**详细步骤**：\n1. **文件上传**: 前端接收用户上传的文件\n2. **临时存储**: 文件存储到临时位置或MinIO\n3. **数据处理**: 使用 `DataProcessCore` 进行格式转换和分块\n4. **向量化**: 通过嵌入模型生成向量表示\n5. **知识库存储**: 将处理后的内容存储到Elasticsearch\n6. **索引更新**: 更新搜索索引以支持检索\n\n### 4. 实时文件处理流程\n```\n文件上传 → 临时存储 → 数据处理 → Agent处理 → 实时回答\n```\n\n**详细步骤**：\n1. **文件上传**: 用户在对话中上传文件\n2. **临时存储**: 文件临时保存用于处理\n3. **数据处理**: 实时提取文件内容和结构\n4. **Agent处理**: AI智能体分析文件内容\n5. **实时回答**: 基于文件内容提供即时回复\n\n### 数据处理优化策略\n\n- **异步处理**: 大文件处理使用异步任务队列\n- **批量操作**: 多文件处理时使用批量优化\n- **缓存机制**: 重复文件的处理结果缓存\n- **流式处理**: 大文件的内存流式处理"
  },
  {
    "path": "doc/docs/zh/sdk/features.md",
    "content": "# ⭐ 主要特性详解\n\nNexent SDK 提供了全面的企业级智能体开发能力，以下是各个核心特性的详细说明。\n\n## 🏢 企业级Agent框架\n\n### 基于 SmolAgents 扩展\n- **复杂业务场景支持**：继承 SmolAgents 的优秀架构，支持复杂的业务逻辑处理\n- **生产就绪**：专为企业环境构建，具备适当的扩展和监控能力\n- **全面测试**：广泛的测试覆盖确保系统可靠性和稳定性\n\n### 核心优势\n- **多模型支持**：支持 OpenAI、视觉语言模型、长上下文模型等\n- **MCP 集成**：无缝集成 Model Context Protocol 工具生态\n- **动态工具加载**：支持本地工具和 MCP 工具的动态创建和管理\n- **分布式执行**：基于线程池和异步架构的高性能执行引擎\n- **状态管理**：完善的任务状态追踪和错误恢复机制\n\n## ⚡ 分布式处理能力\n\n### 异步处理架构\n- **基于 asyncio**：高性能异步架构，支持并发处理\n- **多线程支持**：线程安全的并发处理机制\n- **Celery 友好**：专为分布式任务队列优化的设计\n- **批量操作**：支持大规模数据的批量处理和优化\n\n### 性能优化\n- **连接池管理**：重用连接以获得更好的性能\n- **内存优化**：支持大文件的内存流式处理\n- **任务队列**：支持任务队列管理和并行处理\n- **资源监控**：实时监控系统资源使用情况\n\n## 🔧 丰富的 Agent 工具生态\n\n### 搜索工具\n- **EXA 搜索**：高性能网络搜索服务\n- **Tavily 搜索**：智能搜索和内容分析\n- **Linkup 搜索**：专业领域搜索服务\n- **本地知识库检索**：支持向量数据库的语义搜索\n\n### 通信工具\n- **IMAP/SMTP 邮件**：完整的邮件收发功能\n- **实时通信**：支持 WebSocket 等实时通信协议\n- **API 集成**：支持各种第三方 API 集成\n\n### MCP 集成\n- **Model Context Protocol**：标准化的工具集成协议\n- **统一规范**：所有工具遵循一致的开发标准和接口设计\n- **动态加载**：支持工具的动态加载和热更新\n\n## 🎭 多模态支持\n\n### 语音服务\n- **STT (语音转文本)**：支持多种语言的语音识别\n- **TTS (文本转语音)**：自然流畅的语音合成\n- **实时语音交互**：支持实时语音对话和处理\n\n### 视觉模型\n- **图像理解**：支持图像内容分析和理解\n- **图像处理**：提供图像编辑和处理功能\n- **多模态融合**：支持文本、图像、语音的多模态融合\n\n### 长上下文模型\n- **大规模文档处理**：支持处理超长文档和对话历史\n- **上下文管理**：智能的上下文压缩和管理\n- **记忆优化**：高效的长期记忆机制\n\n## 📊 强大的数据处理能力\n\n### 多格式支持\n- **文档格式**：PDF、Word、Excel、PowerPoint、HTML 等\n- **表格数据**：CSV、Excel、数据库导出等\n- **图像格式**：JPG、PNG、GIF、SVG 等\n- **音频格式**：MP3、WAV、FLAC 等\n- **视频格式**：MP4、AVI、MOV 等\n\n### 智能分块策略\n- **基础分块**：按固定大小进行文档分块\n- **标题分块**：基于文档结构进行智能分块\n- **无分块**：保持文档完整性的处理方式\n- **自定义分块**：支持用户自定义分块策略\n\n### 内存处理优化\n- **流式处理**：支持大文件的内存流式处理\n- **内存管理**：智能的内存使用和释放机制\n- **缓存策略**：多级缓存提高处理效率\n\n## 🔍 向量数据库集成\n\n### Elasticsearch 集成\n- **企业级搜索**：企业级向量搜索和文档管理\n- **混合搜索**：结合精确匹配和语义搜索\n- **大规模优化**：支持数百万级文档的高效检索\n\n### 嵌入模型支持\n- **Jina 嵌入**：集成 Jina 等主流嵌入模型\n- **多语言支持**：支持中英文等多种语言的嵌入\n- **自定义模型**：支持用户自定义嵌入模型\n\n### 高级功能\n- **相似度搜索**：基于向量相似度的智能搜索\n- **聚类分析**：文档自动聚类和分类\n- **推荐系统**：基于向量相似度的内容推荐\n- **实时更新**：支持向量数据库的实时更新\n\n## 🛠️ 开发工具和生态系统\n\n### 开发工具\n- **代码质量检查**：集成 ruff 等代码质量工具\n- **测试框架**：完整的 pytest 测试框架\n- **文档生成**：自动生成 API 文档\n- **性能监控**：实时性能监控和优化\n\n### 部署和运维\n- **容器化支持**：完整的 Docker 容器化方案\n- **CI/CD 集成**：支持持续集成和部署\n- **监控告警**：完善的监控和告警机制\n- **日志管理**：结构化的日志记录和管理\n\n### 社区支持\n- **开源生态**：活跃的开源社区支持\n- **文档完善**：详细的中英文文档\n- **示例丰富**：大量的使用示例和最佳实践\n- **技术支持**：专业的技术支持服务 "
  },
  {
    "path": "doc/docs/zh/sdk/monitoring.md",
    "content": "# 🚀 Nexent LLM 监控系统\n\n专门监控大模型 Token 生成速度和性能的企业级监控解决方案。\n\n## 📊 系统架构\n\n```\n┌─────────────────────────────────────────────────────────┐\n│                Nexent LLM 监控系统                      │\n├─────────────────────────────────────────────────────────┤\n│                                                         │\n│  Nexent API ──► OpenTelemetry ──► Jaeger (链路追踪)    │\n│      │                  │                               │\n│      │                  └──────► Prometheus (指标收集)  │\n│      │                             │                   │\n│      └─► OpenAI LLM                └──► Grafana (可视化) │\n│          (Token 监控)                                   │\n└─────────────────────────────────────────────────────────┘\n```\n\n## ⚡ 快速启动（5分钟）\n\n```bash\n# 1. 启动监控服务\n./docker/start-monitoring.sh\n\n# 2. 安装性能监控依赖  \nuv sync --extra performance\n\n# 3. 启用监控\nexport ENABLE_TELEMETRY=true\n\n# 4. 启动后端服务\npython backend/config_service.py\npython backend/runtime_service.py\n```\n\n## 📊 访问监控界面\n\n| 界面 | 地址 | 用途 |\n|------|------|------|\n| **Grafana 仪表板** | http://localhost:3005 | LLM 性能监控 |\n| **Jaeger 链路追踪** | http://localhost:16686 | 请求链路分析 |  \n| **Prometheus 指标** | http://localhost:9090 | 原始监控数据 |\n\n### 🔐 Grafana 登录信息\n\n首次访问 Grafana (http://localhost:3005) 时需要登录：\n\n```\n用户名: admin\n密码: admin\n```\n\n**首次登录后会要求修改密码，可以：**\n- 设置新密码（推荐）\n- 点击 \"Skip\" 跳过（开发环境）\n\n**登录后可以看到：**\n- 📊 **LLM Performance Dashboard** - 预配置的性能仪表板\n- 📈 **数据源配置** - 自动连接到 Prometheus 和 Jaeger\n- 🎯 **实时监控面板** - Token 生成速度、延迟等关键指标\n\n## 🎯 核心功能特性\n\n### ⚡ LLM 专用监控\n- **Token 生成速度**: 实时监控每秒生成的 token 数量\n- **TTFT (Time to First Token)**: 首个 token 返回延迟\n- **流式响应分析**: 每个 token 的生成时间戳\n- **模型性能对比**: 不同模型的性能基准\n\n### 🔍 分布式链路追踪\n- **完整请求链路**: 从 HTTP 到 LLM 的端到端追踪\n- **性能瓶颈识别**: 自动定位慢查询和异常\n- **错误根因分析**: 快速定位问题根源\n\n### 🛠️ 开发友好设计\n- **一行代码接入**: 使用装饰器快速添加监控\n- **零依赖降级**: 未安装监控依赖时自动跳过\n- **零感知使用**: 无需手动检查监控状态，自动处理\n- **灵活配置**: 环境变量控制监控行为\n\n## 🛠️ 添加监控到代码\n\n### 🎯 推荐方式：单例模式 (v2.1+)\n\n```python\n# 后端服务中使用 - 直接使用全局配置好的 monitoring_manager\nfrom utils.monitoring import monitoring_manager\n\n# API 端点监控\n@monitoring_manager.monitor_endpoint(\"my_service.my_function\")\nasync def my_api_function():\n    return {\"status\": \"ok\"}\n\n# LLM 调用监控\n@monitoring_manager.monitor_llm_call(\"gpt-4\", \"chat_completion\")\ndef call_llm(messages):\n    # 自动获得 Token 级别监控\n    return llm_response\n\n# 手动添加监控事件\nmonitoring_manager.add_span_event(\"custom_event\", {\"key\": \"value\"})\nmonitoring_manager.set_span_attributes(user_id=\"123\", action=\"process\")\n```\n\n### 📦 SDK中直接使用\n\n```python\nfrom nexent.monitor import get_monitoring_manager\n\n# 获取全局监控管理器 - 在backend已自动配置\nmonitor = get_monitoring_manager()\n\n# 使用装饰器\n@monitor.monitor_llm_call(\"claude-3\", \"completion\")\ndef my_llm_function():\n    return \"response\"\n\n# 或者在业务逻辑中直接使用\nwith monitor.trace_llm_request(\"custom_operation\", \"my_model\") as span:\n    # 执行业务逻辑\n    result = process_data()\n    monitor.add_span_event(\"processing_completed\")\n    return result\n```\n\n### ✨ 全局配置自动化\n\n监控配置已在 `backend/utils/monitoring.py` 中自动初始化：\n\n```python\n# 无需手动配置 - 系统启动时自动完成\n# monitoring_manager 已经使用环境变量配置完成\nfrom utils.monitoring import monitoring_manager\n\n# 直接使用即可，无需检查是否开启\n@monitoring_manager.monitor_endpoint(\"my_function\")\ndef my_function():\n    pass\n\n# FastAPI应用初始化\nmonitoring_manager.setup_fastapi_app(app)\n```\n\n### 🔒 自动启停设计\n\n- **智能监控**: 根据 `ENABLE_TELEMETRY` 环境变量自动启停\n- **零感知使用**: 外部代码无需检查监控状态，直接使用所有功能\n- **优雅降级**: 未开启时静默无效果，开启时正常工作\n- **默认关闭**: 未配置时自动视为关闭状态\n\n```bash\n# 开启监控\nexport ENABLE_TELEMETRY=true\n\n# 关闭监控  \nexport ENABLE_TELEMETRY=false\n```\n\n## 📊 核心监控指标\n\n| 指标 | 描述 | 重要性 |\n|------|------|-------|\n| `llm_token_generation_rate` | Token 生成速度 (tokens/s) | ⭐⭐⭐ |\n| `llm_time_to_first_token_seconds` | 首 Token 延迟 | ⭐⭐⭐ |\n| `llm_request_duration_seconds` | 完整请求耗时 | ⭐⭐⭐ |\n| `llm_total_tokens` | 输入/输出 Token 数量 | ⭐⭐ |\n| `llm_error_count` | LLM 调用错误数 | ⭐⭐⭐ |\n\n## 🔧 环境配置\n\n```bash\n# 添加到 .env 文件\ncat >> .env << EOF\nENABLE_TELEMETRY=true\nSERVICE_NAME=nexent-backend\nJAEGER_ENDPOINT=http://localhost:14268/api/traces\nLLM_SLOW_REQUEST_THRESHOLD_SECONDS=5.0\nLLM_SLOW_TOKEN_RATE_THRESHOLD=10.0\nTELEMETRY_SAMPLE_RATE=1.0  # 开发环境，生产环境推荐 0.1\nEOF\n```\n\n## 🛠️ 验证系统\n\n```bash\n# 检查指标端点\ncurl http://localhost:8000/metrics\n\n# 验证依赖安装\npython -c \"from backend.utils.monitoring import MONITORING_AVAILABLE; print(f'监控可用: {MONITORING_AVAILABLE}')\"\n```\n\n## 🆘 故障排除\n\n### 监控数据为空？\n```bash\n# 检查服务状态\ndocker-compose -f docker/docker-compose-monitoring.yml ps\n\n# 检查依赖安装\npython -c \"import opentelemetry; print('✅ 监控依赖已安装')\"\n```\n\n### 端口冲突？\n```bash\n# 检查端口占用\nlsof -i :3005 -i :9090 -i :16686\n```\n\n### 依赖安装问题？\n```bash\n# 重新安装性能依赖\nuv sync --extra performance\n\n# 检查 pyproject.toml 中的 performance 配置\ncat backend/pyproject.toml | grep -A 20 \"performance\"\n```\n\n### 服务名显示为 unknown_service？\n```bash\n# 检查环境变量配置\necho \"SERVICE_NAME: $SERVICE_NAME\"\n\n# 重启监控服务以应用新配置\n./docker/start-monitoring.sh\n```\n\n## 🧹 数据管理\n\n### 清理 Jaeger 追踪数据\n```bash\n# 方法1: 重启 Jaeger 容器（最简单）\ndocker-compose -f docker/docker-compose-monitoring.yml restart nexent-jaeger\n\n# 方法2: 完全重建 Jaeger 容器和数据\ndocker-compose -f docker/docker-compose-monitoring.yml stop nexent-jaeger\ndocker-compose -f docker/docker-compose-monitoring.yml rm -f nexent-jaeger\ndocker-compose -f docker/docker-compose-monitoring.yml up -d nexent-jaeger\n\n# 方法3: 清理所有监控数据（重建所有容器）\ndocker-compose -f docker/docker-compose-monitoring.yml down\ndocker-compose -f docker/docker-compose-monitoring.yml up -d\n```\n\n### 清理 Prometheus 指标数据\n```bash\n# 重启 Prometheus 容器\ndocker-compose -f docker/docker-compose-monitoring.yml restart nexent-prometheus\n\n# 完全清理 Prometheus 数据\ndocker-compose -f docker/docker-compose-monitoring.yml stop nexent-prometheus\ndocker volume rm docker_prometheus_data 2>/dev/null || true\ndocker-compose -f docker/docker-compose-monitoring.yml up -d nexent-prometheus\n```\n\n### 清理 Grafana 配置\n```bash\n# 重置 Grafana 配置和仪表板\ndocker-compose -f docker/docker-compose-monitoring.yml stop nexent-grafana\ndocker volume rm docker_grafana_data 2>/dev/null || true\ndocker-compose -f docker/docker-compose-monitoring.yml up -d nexent-grafana\n```\n\n## 📈 典型问题分析\n\n### Token 生成速度慢 (< 5 tokens/s)\n1. **分析**: Grafana → Token Generation Rate 面板\n2. **解决**: 检查模型服务负载、优化输入 prompt 长度\n\n### 请求响应慢 (> 10s)\n1. **分析**: Jaeger → 查看完整链路追踪\n2. **解决**: 定位瓶颈环节（数据库/LLM/网络）\n\n### 错误率突增 (> 10%)\n1. **分析**: Prometheus → llm_error_count 指标\n2. **解决**: 检查模型服务可用性、验证 API 密钥\n\n## 🎉 开始使用\n\n设置完成后你可以：\n\n1. 📊 在 Grafana 中查看 **LLM Performance Dashboard**\n2. 🔍 在 Jaeger 中追踪每个请求的完整链路  \n3. 📈 分析 Token 生成速度和性能瓶颈\n4. 🚨 设置性能告警和阈值\n\n享受高效的 LLM 性能监控！ 🚀\n"
  },
  {
    "path": "doc/docs/zh/sdk/overview.md",
    "content": "# Nexent SDK\n\nNexent 是一个强大的企业级 Agent SDK，革命性地简化了智能体开发。基于经过验证的企业架构构建，为构建生产就绪的 AI 智能体提供全面解决方案，支持分布式处理、实时流式传输、多模态能力以及丰富的工具和模型生态系统。\n\n## 🚀 安装与使用\n\n有关详细的安装说明和使用指南，请参阅 **[基本使用指南](./basic-usage#使用-agent_run推荐的流式运行方式)**，其中包含 `CoreAgent.run` 和流式的 `agent_run`。\n\n## ⭐ 主要特性\n\n### 🏢 企业级Agent框架\n基于 SmolAgents 扩展，专为企业环境构建，具备适当的扩展和监控能力。\n\n### ⚡ 分布式处理能力\n基于 asyncio 的高性能异步架构，支持大规模数据的批量处理和优化。\n\n### 🔧 丰富的 Agent 工具生态\n支持 EXA、Tavily、Linkup 网络搜索，IMAP/SMTP 邮件功能，以及 Model Context Protocol 工具集成。\n\n### 🎭 多模态支持\n集成 STT & TTS 语音服务，支持图像理解和处理，以及长上下文模型。\n\n### 📊 强大的数据处理能力\n处理 20+ 种文档格式，支持智能分块策略和内存流式处理。\n\n### 🔍 向量数据库集成\n企业级 Elasticsearch 向量搜索，支持混合搜索和大规模优化。\n\n有关详细的特性和使用说明，请参阅 **[特性详解](./features)** 和 **[基本使用指南](./basic-usage)**。\n\n## 🤖 Agent 框架\n\nNexent 提供了完整的智能体解决方案，支持多模型、MCP 集成、动态工具加载和分布式执行。\n\n- 快速流式运行：**[流式运行 agent_run](./basic-usage#使用-agent_run推荐的流式运行方式)**\n- 详细的 Agent 开发和使用说明：**[智能体模块](./core/agents)**\n\n## 🛠️ 工具集合\n\nNexent 提供了丰富的工具生态系统，支持多种类型的任务处理。所有工具都遵循统一的开发规范，确保一致性和可扩展性。\n\n详细的工具开发规范和完整的工具文档，请参考：**[工具开发指南](./core/tools)**\n\n## 📊 数据处理能力\n\n企业级文档处理能力，提供分布式处理能力，支持 20+ 种文档格式、智能分块策略和内存优化。\n\n详细的数据处理能力和使用示例，请参考：**[数据处理指南](./data-process)**\n\n## 🔍 向量数据库能力\n\n提供企业级向量搜索和文档管理能力，支持多种搜索模式、嵌入模型集成和大规模优化。\n\n全面的向量数据库集成和配置文档，请参考：**[向量数据库指南](./vector-database)**\n\n## 🤖 模型服务\n\n提供统一的多模态 AI 模型服务，支持各种模型类型和提供商。\n\n全面的模型集成和使用文档，请参考：**[模型架构指南](./core/models)**\n\n更多详细使用说明，请参考各模块的专门文档。\n"
  },
  {
    "path": "doc/docs/zh/sdk/vector-database.md",
    "content": "# Elasticsearch 向量数据库\n\n一个用于 Elasticsearch 的向量搜索和文档管理服务，支持 Jina 嵌入模型集成。\n\n## 环境设置\n\n1. 创建一个包含凭据的 `.env` 文件:\n\n```\nELASTICSEARCH_HOST=https://localhost:9200\nELASTICSEARCH_API_KEY=your_api_key_here\nJINA_API_URL=https://api.jina.ai/v1/embeddings\nJINA_MODEL=jian_model_name\nJINA_API_KEY=your_jina_api_key_here\n```\n\n2. 安装依赖:\n\n```bash\npip install elasticsearch python-dotenv requests fastapi uvicorn\n```\n\n## Docker 部署指南\n\n### 前置条件\n\n1. 安装Docker\n   - 访问 [Get Docker](https://www.docker.com/products/docker-desktop) 安装Docker\n   - 如果使用Docker Desktop，请确保分配至少4GB内存\n   - 可以在Docker Desktop的 **Settings > Resources** 中调整内存使用\n\n2. 创建Docker网络\n   ```bash\n   docker network create elastic\n   ```\n\n### Elasticsearch部署\n\n1. 拉取Elasticsearch镜像\n   ```bash\n   docker pull docker.elastic.co/elasticsearch/elasticsearch:8.17.4\n   ```\n\n2. 启动Elasticsearch容器 (静默模式，等待3-5分钟)\n   ```bash\n   docker run -d --name es01 --net elastic -p 9200:9200 -m 6GB -e \"xpack.ml.use_auto_machine_memory_percent=true\" docker.elastic.co/elasticsearch/elasticsearch:8.17.4\n   ```\n\n3. 查看Elasticsearch日志\n   ```bash\n   docker logs -f es01\n   ```\n\n4. 重置密码（确认Yes）\n   ```bash\n   docker exec -it es01 /usr/share/elasticsearch/bin/elasticsearch-reset-password -u elastic\n   ```\n\n5. 保存重要信息\n   - 容器启动时会显示 `elastic` 用户密码和Kibana的注册令牌\n   - 建议将密码保存为环境变量：\n     ```bash\n     export ELASTIC_PASSWORD=\"your_password\"\n     ```\n\n6. 复制SSL证书\n   ```bash\n   docker cp es01:/usr/share/elasticsearch/config/certs/http_ca.crt .\n   ```\n\n7. 验证部署\n   ```bash\n   curl --cacert http_ca.crt -u elastic:$ELASTIC_PASSWORD https://localhost:9200 -k\n   ```\n\n8. 获取api_key\n    ```bash\n    curl --cacert http_ca.crt \\\n      -u elastic:$ELASTIC_PASSWORD \\\n      --request POST \\\n      --url https://localhost:9200/_security/api_key \\\n      --header 'Content-Type: application/json' \\\n      --data '{\n          \"name\": \"取个名字\"\n        }'\n    ```\n\n9. 检验key有效\n    ```bash\n   curl --request GET \\\n    --url https://XXX.XX.XXX.XX:9200/_cluster/health \\\n    --header 'Authorization: ApiKey API-KEY'\n   ```\n\n### Kibana部署 (可选)\n\n1. 拉取Kibana镜像\n   ```bash\n   docker pull docker.elastic.co/kibana/kibana:8.17.4\n   ```\n\n2. 启动Kibana容器\n   ```bash\n   docker run -d --name kib01 --net elastic -p 5601:5601 docker.elastic.co/kibana/kibana:8.17.4\n   ```\n\n3. 查看Kibana日志\n   ```bash\n   docker logs -f kib01\n   ```\n\n4. 配置Kibana\n   - 生成令牌，运行：\n     ```bash\n     docker exec -it es01 /usr/share/elasticsearch/bin/elasticsearch-create-enrollment-token -s kibana\n     ```\n   - 在浏览器中，访问http://localhost:5601输入生成的注册令牌\n   - 可能需要`docker logs -f kib01`查看验证码\n\n5. 使用elastic用户和之前生成的密码登录Kibana\n\n### 常用管理命令\n\n```bash\n# 停止容器\ndocker stop es01\ndocker stop kib01\n\n# 删除容器\ndocker rm es01\ndocker rm kib01\n\n# 删除网络\ndocker network rm elastic\n```\n\n### 生产环境注意事项\n\n1. 数据持久化\n   - 必须绑定数据卷到 `/usr/share/elasticsearch/data`\n   - 启动命令示例:\n     ```bash\n     docker run -d --name es01 --net elastic -p 9200:9200 -m 6GB -v es_data:/usr/share/elasticsearch/data docker.elastic.co/elasticsearch/elasticsearch:8.17.4\n     ```\n\n2. 内存配置\n   - 根据实际需求调整容器内存限制\n   - 建议至少分配6GB内存\n\n3. 故障排除\n   - 内存不足: 检查Docker Desktop的内存设置\n   - 端口冲突: 确保9200端口未被占用\n   - 证书问题: 确保正确复制了SSL证书\n   - 昇腾服务器vm.max_map_count问题:\n     ```bash\n     # 错误信息\n     # node validation exception: bootstrap checks failed\n     # max virtual memory areas vm.max_map_count [65530] is too low, increase to at least [262144]\n     \n     # 解决方案（在宿主机执行）：\n     sudo sysctl -w vm.max_map_count=262144\n     \n     # 永久生效，编辑 /etc/sysctl.conf 添加：\n     vm.max_map_count=262144\n     \n     # 然后执行：\n     sudo sysctl -p\n     ```\n\n### 远程部署调试指南\n\n当Elasticsearch部署在远程服务器上时，可能会遇到一些网络访问的问题。以下是常见问题和解决方案：\n\n1. 远程访问被拒绝\n   - 症状：curl请求返回 \"Connection reset by peer\"\n   - 解决方案：\n     ```bash\n     # 使用SSH隧道进行端口转发\n     ssh -L 9200:localhost:9200 user@remote_server\n     \n     # 在新终端中通过本地端口访问\n     curl -H \"Authorization: ApiKey your_api_key\" https://localhost:9200/_cluster/health\\?pretty -k\n     ```\n\n2. 网络配置检查清单\n   - 确保远程服务器的防火墙允许9201端口访问\n     ```bash\n     # 对于使用iptables的系统\n     sudo iptables -A INPUT -p tcp --dport 9200 -j ACCEPT\n     sudo service iptables save\n     ```\n   \n   - 检查Elasticsearch网络配置\n     ```yaml\n     # elasticsearch.yml 配置示例\n     network.host: 0.0.0.0\n     http.cors.enabled: true\n     http.cors.allow-origin: \"*\"\n     ```\n\n3. 安全配置建议\n   - 在生产环境中，建议：\n     - 限制CORS的 `allow-origin` 为特定域名\n     - 使用反向代理（如Nginx）管理SSL终端\n     - 配置适当的网络安全组规则\n     - 使用SSL证书而不是自签名证书\n\n4. 使用环境变量\n   - 在 `.env` 文件中配置远程连接：\n     ```\n     ELASTICSEARCH_HOST=https://remote_server:9200\n     ELASTICSEARCH_API_KEY=your_api_key\n     ```\n   \n   - 如果使用SSH隧道，可以保持使用localhost：\n     ```\n     ELASTICSEARCH_HOST=https://localhost:9200\n     ```\n\n5. 故障排除命令\n   ```bash\n   # 检查端口监听状态\n   netstat -tulpn | grep 9200\n   \n   # 检查ES日志\n   docker logs es01\n   \n   # 测试SSL连接\n   openssl s_client -connect remote_server:9200\n   ```\n\n## 核心组件\n\n- `elasticsearch_core.py`: 主类，包含所有 Elasticsearch 操作\n- `embedding_model.py`: 处理使用 Jina AI 模型生成嵌入向量\n- `utils.py`: 数据格式化和显示的工具函数\n- `vectordatabase_service.py`: FastAPI 服务，提供 REST API 接口\n\n## 使用示例\n\n### 基本初始化\n\n```python\nfrom nexent.vector_database.elasticsearch_core import ElasticSearchCore\n\n# 使用 .env 文件中的凭据初始化\nvdb_core = ElasticSearchCore()\n\n# 或直接指定凭据\nvdb_core = ElasticSearchCore(\n    host=\"https://localhost:9200\",\n    api_key=\"your_api_key\",\n    verify_certs=False,\n    ssl_show_warn=False,\n)\n```\n\n### 索引管理\n\n```python\n# 创建新的向量索引\nvdb_core.create_index(\"my_documents\")\n\n# 列出所有用户索引\nindices = vdb_core.get_user_indices()\nprint(indices)\n\n# 获取所有索引的统计信息\nall_indices_stats = vdb_core.get_all_indices_stats()\nprint(all_indices_stats)\n\n# 删除索引\nvdb_core.delete_index(\"my_documents\")\n\n# 创建测试知识库\nindex_name, doc_count = vdb_core.create_test_knowledge_base()\nprint(f\"创建了测试知识库 {index_name}，包含 {doc_count} 个文档\")\n```\n\n### 文档操作\n\n```python\n# 索引文档（自动生成嵌入向量）\ndocuments = [\n    {\n        \"id\": \"doc1\",\n        \"title\": \"文档 1\",\n        \"file\": \"文件1.txt\",\n        \"path_or_url\": \"https://example.com/doc1\",\n        \"content\": \"这是文档 1 的内容\",\n        \"process_source\": \"Web\",\n        \"embedding_model_name\": \"jina-embeddings-v2-base-en\",  # 指定嵌入模型\n        \"file_size\": 1024,  # 文件大小（字节）\n        \"create_time\": \"2023-06-01T10:30:00\"  # 文件创建时间\n    },\n    {\n        \"id\": \"doc2\",\n        \"title\": \"文档 2\",\n        \"file\": \"文件2.txt\",\n        \"path_or_url\": \"https://example.com/doc2\",\n        \"content\": \"这是文档 2 的内容\",\n        \"process_source\": \"Web\"\n        # 如果未提供其他字段，将使用默认值\n    }\n]\n# 支持批量处理，默认批处理大小为3000\ntotal_indexed = vdb_core.vectorize_documents(\"my_documents\", documents, batch_size=3000)\nprint(f\"成功索引了 {total_indexed} 个文档\")\n\n# 通过 URL 或路径删除文档\ndeleted_count = vdb_core.delete_documents(\"my_documents\", \"https://example.com/doc1\")\nprint(f\"删除了 {deleted_count} 个文档\")\n```\n\n### 搜索功能\n\n```python\n# 文本精确搜索\nresults = vdb_core.accurate_search(\"my_documents\", \"示例查询\", top_k=5)\nfor result in results:\n    print(f\"得分: {result['score']}, 文档: {result['document']['title']}\")\n\n# 语义向量搜索\nresults = vdb_core.semantic_search(\"my_documents\", \"示例查询\", top_k=5)\nfor result in results:\n    print(f\"得分: {result['score']}, 文档: {result['document']['title']}\")\n\n# 混合搜索\nresults = vdb_core.hybrid_search(\n    \"my_documents\",\n    \"示例查询\",\n    top_k=5,\n    weight_accurate=0.3  # 精确搜索权重为0.3，向量搜索权重为0.7\n)\nfor result in results:\n    print(f\"得分: {result['score']}, 文档: {result['document']['title']}\")\n```\n\n### 统计和监控\n\n```python\n# 获取索引统计信息\nstats = vdb_core.get_indices_detail([\"my_documents\"])\nprint(stats)\n\n# 获取文件列表及详细信息\nfile_details = vdb_core.get_documents_detail(\"my_documents\")\nprint(file_details)\n\n# 获取嵌入模型信息\nembedding_model = vdb_core.get_embedding_model_info(\"my_documents\")\nprint(f\"使用的嵌入模型: {embedding_model}\")\n\n# 打印所有索引信息\nvdb_core.print_all_indices_info()\n```\n\n## ElasticSearchCore 主要功能\n\nElasticSearchCore 类提供了以下主要功能:\n\n- **索引管理**: 创建和删除索引，获取用户索引列表和统计信息\n- **文档操作**: 批量索引带有嵌入向量的文档，删除指定文档\n- **搜索操作**: 提供精确文本搜索、语义向量搜索、以及混合搜索\n- **统计和监控**: 获取索引统计数据，查看数据源、创建时间和文件列表等信息\n\n### 新增高级功能\n\n```python\n# 获取索引的文件列表及详细信息\nfiles = vdb_core.get_documents_detail(\"my_documents\")\nfor file in files:\n    print(f\"文件路径: {file['path_or_url']}\")\n    print(f\"文件名: {file['file']}\")\n    print(f\"文件大小: {file['file_size']} 字节\")\n    print(f\"创建时间: {file['create_time']}\")\n    print(\"---\")\n\n# 获取嵌入模型信息\nmodel_info = vdb_core.get_embedding_model_info(\"my_documents\")\nprint(f\"使用的嵌入模型: {model_info}\")\n\n# 获取所有索引的综合统计信息\nall_stats = vdb_core.get_all_indices_stats()\nfor index_name, stats in all_stats.items():\n    print(f\"索引: {index_name}\")\n    print(f\"文档数: {stats['base_info']['doc_count']}\")\n    print(f\"唯一源数量: {stats['base_info']['unique_sources_count']}\")\n    print(f\"使用的嵌入模型: {stats['base_info']['embedding_model']}\")\n    print(\"---\")\n```\n\n## API 服务接口\n\n通过 `vectordatabase_service.py` 提供的 FastAPI 服务，可使用 REST API 访问上述所有功能。\n\n### 服务启动\n\n```bash\npython -m nexent.service.vectordatabase_service\n```\n\n服务默认在 `http://localhost:8000` 运行。\n\n### API 接口文档\n\n#### 健康检查\n\n- **GET** `/health`: 检查 API 和 Elasticsearch 连接状态\n  - 返回示例: `{\"status\": \"healthy\", \"elasticsearch\": \"connected\", \"indices_count\": 5}`\n\n#### 索引管理\n- **POST** `/indices/{index_name}`: 创建索引\n  - 参数: \n    - `index_name`: 索引名称 (路径参数)\n    - `embedding_dim`: 向量化维度 (查询参数，可选)\n  - 返回示例: `{\"status\": \"success\", \"message\": \"Index my_documents created successfully\"}`\n\n- **DELETE** `/indices/{index_name}`: 删除索引\n  - 参数: `index_name`: 索引名称 (路径参数)\n  - 返回示例: `{\"status\": \"success\", \"message\": \"Index my_documents deleted successfully\"}`\n\n- **GET** `/indices`: 列出所有索引，可选包含详细统计信息\n  - 参数: \n    - `pattern`: 索引名称匹配模式 (查询参数，默认为 \"*\")\n    - `include_stats`: 是否包含索引统计信息 (查询参数，默认为 false)\n  - 基本返回示例: `{\"indices\": [\"index1\", \"index2\"], \"count\": 2}`\n  - 包含统计信息的返回示例:\n  ```json\n  {\n    \"indices\": [\"index1\", \"index2\"],\n    \"count\": 2,\n    \"indices_info\": [\n      {\n        \"name\": \"index1\",\n        \"stats\": {\n          \"base_info\": {\n            \"doc_count\": 100,\n            \"unique_sources_count\": 10,\n            \"store_size\": \"1.2 MB\",\n            \"process_source\": \"Web\",\n            \"embedding_model\": \"jina-embeddings-v2-base-en\",\n            \"creation_date\": \"2023-06-01 12:00:00\",\n            \"update_date\": \"2023-06-02 15:30:00\"\n          },\n          \"search_performance\": {\n            \"total_search_count\": 150,\n            \"hit_count\": 120\n          }\n        }\n      },\n      {\n        \"name\": \"index2\",\n        \"stats\": { \"...\" }\n      }\n    ]\n  }\n  ```\n\n- **GET** `/indices/{index_name}/info`: 获取索引的综合信息\n  - 参数: \n    - `index_name`: 索引名称 (路径参数)\n    - `include_files`: 是否包含文件列表信息 (查询参数，默认为 true)\n    - `include_chunks`: 是否包含文本块信息 (查询参数，默认为 false)\n  - 返回综合信息，包括基本信息、搜索性能、字段列表、文件列表和文本块列表\n  - 返回示例:\n  ```json\n  {\n    \"base_info\": {\n      \"doc_count\": 100,\n      \"unique_sources_count\": 10,\n      \"store_size\": \"1.2 MB\",\n      \"process_source\": \"Web\",\n      \"embedding_model\": \"jina-embeddings-v2-base-en\",\n      \"embedding_dim\": 1024,\n      \"creation_date\": \"2023-06-01 12:00:00\",\n      \"update_date\": \"2023-06-02 15:30:00\"\n    },\n    \"search_performance\": {\n      \"total_search_count\": 150,\n      \"hit_count\": 120\n    },\n    \"fields\": [\"id\", \"title\", \"content\", \"embedding\", \"embedding_model_name\", \"file_size\", \"create_time\", \"...\"],\n    \"files\": [\n      {\n        \"path_or_url\": \"https://example.com/doc1\",\n        \"file\": \"文件1.txt\",\n        \"file_size\": 1024,\n        \"create_time\": \"2023-06-01T10:30:00\",\n        \"chunks_count\": 6,\n        \"status\": \"PROCESSING\",\n        \"chunks\": []\n      },\n      {\n        \"path_or_url\": \"https://example.com/doc2\",\n        \"file\": \"文件2.txt\",\n        \"file_size\": 2048,\n        \"create_time\": \"2023-06-01T11:45:00\",\n        \"chunks_count\": 10,\n        \"status\": \"WAITING\",\n        \"chunks\": []\n      },\n      {\n        \"path_or_url\": \"https://example.com/doc3\",\n        \"file\": \"文件3.txt\",\n        \"file_size\": 0,\n        \"create_time\": \"2023-06-01T12:00:00\",\n        \"chunks_count\": 0,\n        \"status\": \"COMPLETED\",\n        \"chunks\": [\n                {\n                    \"id\": \"task-0\",\n                    \"title\": \"title-0\",\n                    \"content\": \"content-0\",\n                    \"create_time\": \"2023-06-01T12:30:00\"\n                },\n                {\n                    \"id\": \"task-1\",\n                    \"title\": \"title-1\",\n                    \"content\": \"content-1\",\n                    \"create_time\": \"2023-06-01T12:30:00\"\n                }\n            ],\n      }\n    ]\n  }\n  ```\n  - 文件状态说明：\n    - `WAITING`: 文件正在等待处理\n    - `PROCESSING`: 文件正在被处理\n    - `FORWARDING`: 文件正在被转发到向量知识库服务\n    - `COMPLETED`: 文件已完成处理并成功入库\n    - `FAILED`: 文件处理失败\n  - 文件列表包含：\n    - 已存在于ES中的文件（状态为 COMPLETED 或活跃任务中的状态）\n    - 正在数据清洗服务中处理但尚未进入ES的文件（状态为 WAITING/PROCESSING/FORWARDING/FAILED）\n\n#### 文档操作\n\n- **POST** `/indices/{index_name}/documents`: 索引文档\n  - 参数:\n    - `index_name`: 索引名称 (路径参数)\n    - `data`: 包含任务ID和文档的请求体 (IndexingRequest)\n    - `embedding_model_name`: 指定要使用的嵌入模型名称 (查询参数，可选)\n  - IndexingRequest 格式示例:\n  ```json\n  {\n    \"task_id\": \"task-123\",\n    \"index_name\": \"my_documents\",\n    \"results\": [\n      {\n        \"metadata\": {\n          \"title\": \"文档标题\",\n          \"filename\": \"文件名.txt\",\n          \"languages\": [\"zh\"],\n          \"author\": \"作者\",\n          \"file_size\": 1024,\n          \"creation_date\": \"2023-06-01T10:30:00\"\n        },\n        \"source\": \"https://example.com/doc1\",\n        \"source_type\": \"url\", \n        \"text\": \"文档内容\"\n      }\n    ],\n    \"embedding_dim\": 1024\n  }\n  ```\n  - 返回示例: \n  ```json\n  {\n    \"success\": true,\n    \"message\": \"Successfully indexed 1 documents\",\n    \"total_indexed\": 1,\n    \"total_submitted\": 1\n  }\n  ```\n\n- **DELETE** `/indices/{index_name}/documents`: 删除文档\n  - 参数:\n    - `index_name`: 索引名称 (路径参数)\n    - `path_or_url`: 文档路径或URL (查询参数)\n  - 返回示例: `{\"status\": \"success\", \"deleted_count\": 1}`\n\n#### 搜索操作\n\n- **POST** `/indices/search/accurate`: 精确文本搜索\n  - 请求体 (SearchRequest):\n  ```json\n  {\n    \"index_names\": [\"index1\", \"index2\"],\n    \"query\": \"搜索关键词\",\n    \"top_k\": 5\n  }\n  ```\n  - 返回格式:\n  ```json\n  {\n    \"results\": [\n      {\n        \"id\": \"doc1\",\n        \"title\": \"文档标题\",\n        \"file\": \"文件名.txt\",\n        \"path_or_url\": \"https://example.com/doc1\",\n        \"content\": \"文档内容\",\n        \"process_source\": \"Web\",\n        \"embedding_model_name\": \"jina-embeddings-v2-base-en\",\n        \"file_size\": 1024,\n        \"create_time\": \"2023-06-01T10:30:00\",\n        \"score\": 0.95,\n        \"index\": \"index1\"\n      },\n      {\n        \"id\": \"doc2\",\n        \"title\": \"文档标题\",\n        \"file\": \"文件名.txt\",\n        \"path_or_url\": \"https://example.com/doc2\",\n        \"content\": \"文档内容\",\n        \"process_source\": \"Web\",\n        \"embedding_model_name\": \"jina-embeddings-v2-base-en\",\n        \"file_size\": 1024,\n        \"create_time\": \"2023-06-01T10:30:00\",\n        \"score\": 0.85,\n        \"index\": \"index2\"\n      }\n    ],\n    \"total\": 2,\n    \"query_time_ms\": 25.4\n  }\n  ```\n\n- **POST** `/indices/search/semantic`: 语义向量搜索\n  - 请求体格式与精确搜索相同 (SearchRequest)\n  - 返回格式与精确搜索相同，但基于语义相似度评分\n\n- **POST** `/indices/search/hybrid`: 混合搜索\n  - 请求体 (HybridSearchRequest):\n  ```json\n  {\n    \"index_names\": [\"index1\", \"index2\"],\n    \"query\": \"搜索关键词\",\n    \"top_k\": 5,\n    \"weight_accurate\": 0.3\n  }\n  ```\n  - 返回格式与精确搜索相同，但包含详细的得分信息：\n  ```json\n  {\n    \"results\": [\n      {\n        \"id\": \"doc1\",\n        \"title\": \"文档标题\",\n        \"file\": \"文件名.txt\",\n        \"path_or_url\": \"https://example.com/doc1\",\n        \"content\": \"文档内容\",\n        \"process_source\": \"Web\",\n        \"embedding_model_name\": \"jina-embeddings-v2-base-en\",\n        \"file_size\": 1024,\n        \"create_time\": \"2023-06-01T10:30:00\",\n        \"score\": 0.798,\n        \"index\": \"index1\",\n        \"score_details\": {\n          \"accurate\": 0.80,\n          \"semantic\": 0.90\n        }\n      },\n      {\n        \"id\": \"doc2\",\n        \"title\": \"文档标题\",\n        \"file\": \"文件名.txt\",\n        \"path_or_url\": \"https://example.com/doc2\",\n        \"content\": \"文档内容\",\n        \"process_source\": \"Web\",\n        \"embedding_model_name\": \"jina-embeddings-v2-base-en\",\n        \"file_size\": 1024,\n        \"create_time\": \"2023-06-01T10:30:00\",\n        \"score\": 0.756,\n        \"index\": \"index1\",\n        \"score_details\": {\n          \"accurate\": 0.60,\n          \"semantic\": 0.90\n        }\n      }\n    ],\n    \"total\": 2,\n    \"query_time_ms\": 35.2\n  }\n  ```\n\n### API 使用示例\n\n#### 使用 curl 请求示例\n\n```bash\n# 健康检查\ncurl -X GET \"http://localhost:8000/health\"\n\n# 列出所有索引（包含统计信息）\ncurl -X GET \"http://localhost:8000/indices?include_stats=true\"\n\n# 获取索引详细信息（包含文本块列表）\ncurl -X GET \"http://localhost:8000/indices/my_documents/info?include_chunks=true\"\n\n# 精确搜索（支持多索引搜索）\ncurl -X POST \"http://localhost:8000/indices/search/accurate\" \\\n  -H \"Content-Type: application/json\" \\\n  -d '{\n    \"index_names\": [\"my_documents\", \"other_index\"],\n    \"query\": \"示例查询\",\n    \"top_k\": 3\n  }'\n\n# 语义搜索（支持多索引搜索）\ncurl -X POST \"http://localhost:8000/indices/search/semantic\" \\\n  -H \"Content-Type: application/json\" \\\n  -d '{\n    \"index_names\": [\"my_documents\", \"other_index\"],\n    \"query\": \"相似含义查询\",\n    \"top_k\": 3\n  }'\n\n# 混合搜索（支持多索引搜索）\ncurl -X POST \"http://localhost:8000/indices/search/hybrid\" \\\n  -H \"Content-Type: application/json\" \\\n  -d '{\n    \"index_names\": [\"my_documents\", \"other_index\"],\n    \"query\": \"示例查询\",\n    \"top_k\": 3,\n    \"weight_accurate\": 0.3\n  }'\n\n# 删除文档\ncurl -X DELETE \"http://localhost:8000/indices/my_documents/documents?path_or_url=https://example.com/doc1\"\n\n# 创建索引\ncurl -X POST \"http://localhost:8000/indices/my_documents\"\n\n# 删除索引\ncurl -X DELETE \"http://localhost:8000/indices/my_documents\"\n```\n\n#### 使用 Python requests 示例\n\n```python\nimport requests\nimport json\nimport time\n\nBASE_URL = \"http://localhost:8000\"\n\n# 当前时间，ISO格式\ncurrent_time = time.strftime(\"%Y-%m-%dT%H:%M:%S\", time.gmtime())\n\n# 准备 IndexingRequest\nindexing_request = {\n    \"task_id\": f\"task-{int(time.time())}\",\n    \"index_name\": \"my_documents\",\n    \"results\": [\n        {\n            \"metadata\": {\n                \"title\": \"示例文档\",\n                \"filename\": \"example.txt\",\n                \"language\": \"zh\",\n                \"author\": \"作者\",\n                \"file_size\": 1024,\n                \"creation_date\": current_time\n            },\n            \"source\": \"https://example.com/doc1\",\n            \"text\": \"这是一个示例文档\"\n        }\n    ],\n    \"embedding_dim\": 1024\n}\n\n# 索引文档\nresponse = requests.post(\n    f\"{BASE_URL}/indices/my_documents/documents\",\n    json=indexing_request,\n    params={\n        \"embedding_model_name\": \"jina-embeddings-v2-base-en\"  # 可选参数：指定嵌入模型\n    }\n)\nprint(response.json())\n\n# 获取索引信息，包含文件列表\nresponse = requests.get(\n    f\"{BASE_URL}/indices/my_documents/info\",\n    params={\"include_files\": True}\n)\nprint(json.dumps(response.json(), indent=2, ensure_ascii=False))\n\n# 获取所有索引信息，包含统计\nresponse = requests.get(\n    f\"{BASE_URL}/indices\",\n    params={\"include_stats\": True}\n)\nprint(json.dumps(response.json(), indent=2, ensure_ascii=False))\n\n# 精确搜索\nresponse = requests.post(\n    f\"{BASE_URL}/indices/search/accurate\",\n    json={\n        \"index_names\": [\"my_documents\", \"other_index\"],\n        \"query\": \"示例内容\",\n        \"top_k\": 3\n    }\n)\nprint(json.dumps(response.json(), indent=2, ensure_ascii=False))\n\n# 语义搜索\nresponse = requests.post(\n    f\"{BASE_URL}/indices/search/semantic\",\n    json={\n        \"index_names\": [\"my_documents\", \"other_index\"],\n        \"query\": \"示例内容\",\n        \"top_k\": 3\n    }\n)\nprint(json.dumps(response.json(), indent=2, ensure_ascii=False))\n\n# 混合搜索\nresponse = requests.post(\n    f\"{BASE_URL}/indices/search/hybrid\",\n    json={\n        \"index_names\": [\"my_documents\", \"other_index\"],\n        \"query\": \"示例内容\",\n        \"top_k\": 3,\n        \"weight_accurate\": 0.3\n    }\n)\nprint(json.dumps(response.json(), indent=2, ensure_ascii=False))\n```\n\n## 完整示例\n\n查看 ElasticSearchCore 类的 main 函数，了解完整功能演示:\n\n```python\n# 初始化 ElasticSearchCore\nvdb_core = ElasticSearchCore()\n\n# 获取或创建测试知识库\nindex_name = \"sample_articles\"\n\n# 列出所有用户索引\nuser_indices = vdb_core.get_user_indices()\nfor idx in user_indices:\n    print(f\"  - {idx}\")\n\n# 执行搜索\nif index_name in user_indices:\n    # 精确搜索\n    query = \"Doctor\"\n    accurate_results = vdb_core.accurate_search(index_name, query, top_k=2)\n    \n    # 语义搜索\n    query = \"medical professionals in London\"\n    semantic_results = vdb_core.semantic_search(index_name, query, top_k=2)\n\n    # 混合搜索\n    query = \"medical professionals in London\"\n    semantic_results = vdb_core.hybrid_search(index_name, query, top_k=2, weight_accurate=0.5)\n    \n    # 获取索引统计信息\n    stats = vdb_core.get_indices_detail([index_name])\n    fields = vdb_core.get_index_mapping(index_name)\n    unique_sources = vdb_core.get_unique_sources_count(index_name)\n```\n\n## 许可证\n\n该项目根据 MIT 许可证授权 - 详情请参阅 LICENSE 文件。 \n"
  },
  {
    "path": "doc/docs/zh/security.md",
    "content": "# 安全政策\n\n**请勿通过公开的 GitHub issues、讨论或其他公开渠道报告安全漏洞。**\n\n相反，请通过联系我们的安全团队负责任地披露：  \n📧 [chenshuangrui@gmail.com](mailto:chenshuangrui@gmail.com) \n\n## 需要包含的内容：\n- 漏洞的详细描述\n- 重现步骤\n- 潜在影响评估\n- 建议的修复或缓解措施（如果已知）\n\n## 我们的响应流程：\n- **48小时内**确认收到\n- **5个工作日内**进行初步评估\n- 定期更新修复进度\n- 与报告者协调公开披露时间表\n\n## 安全更新\n关键安全补丁会在可用时立即发布。所有安全相关更新将在发布说明中标记为 **[SECURITY]**。\n\n## 致谢\n虽然我们目前没有正式的漏洞赏金计划，但我们感谢负责任的披露：\n- 在我们的安全名人堂中列出贡献者\n- 提供书面推荐（根据要求）\n- 在发布说明中公开致谢（经许可）\n\n**注意：** 此政策可能会定期更新。最后修订：2025年1月 "
  },
  {
    "path": "doc/docs/zh/testing/backend.md",
    "content": "# 后端测试\n\n本指南涵盖了 Nexent 中使用的全面后端测试框架，包括 API 测试、服务层测试和工具函数测试。\n\n## 测试结构\n\n后端测试按以下结构组织：\n\n```\ntest/backend/\n├── app/                    # API 端点测试\n│   ├── test_agent_app.py\n│   ├── test_base_app.py\n│   ├── test_config_sync_app.py\n│   ├── test_conversation_management_app.py\n│   ├── test_data_process_app.py\n│   ├── test_elasticsearch_app.py\n│   ├── test_file_management_app.py\n│   ├── test_image_app.py\n│   ├── test_knowledge_app.py\n│   ├── test_knowledge_summary_app.py\n│   ├── test_me_model_managment_app.py\n│   ├── test_model_managment_app.py\n│   ├── test_prompt_app.py\n│   └── test_remote_mcp_app.py\n├── services/              # 服务层测试\n│   ├── test_agent_service.py\n│   ├── test_conversation_management_service.py\n│   ├── test_data_process_service.py\n│   ├── test_elasticsearch_service.py\n│   ├── test_file_management_service.py\n│   ├── test_image_service.py\n│   ├── test_knowledge_service.py\n│   ├── test_knowledge_summary_service.py\n│   ├── test_model_management_service.py\n│   ├── test_prompt_service.py\n│   └── test_remote_mcp_service.py\n├── utils/                 # 工具函数测试\n│   ├── test_langchain_utils.py\n│   └── test_prompt_template_utils.py\n└── run_all_test.py       # 后端测试运行器\n```\n\n## 运行后端测试\n\n### 完整的后端测试套件\n\n```bash\n# 从项目根目录\npython test/backend/run_all_test.py\n\n# 从 test/backend 目录\ncd test/backend\npython run_all_test.py\n```\n\n### 单个测试类别\n\n```bash\n# 运行所有 API 测试\npython -m pytest test/backend/app/ -v\n\n# 运行所有服务测试\npython -m pytest test/backend/services/ -v\n\n# 运行所有工具测试\npython -m pytest test/backend/utils/ -v\n```\n\n### 特定测试文件\n\n```bash\n# 运行特定 API 测试\npython -m pytest test/backend/app/test_agent_app.py -v\n\n# 运行特定服务测试\npython -m pytest test/backend/services/test_agent_service.py -v\n\n# 运行特定工具测试\npython -m pytest test/backend/utils/test_langchain_utils.py -v\n```\n\n## API 测试\n\nAPI 测试使用 FastAPI 的 TestClient 来模拟 HTTP 请求，而无需运行实际服务器。\n\n### 测试设置模式\n\n```python\nimport os\nimport sys\nfrom unittest.mock import patch, MagicMock\nfrom fastapi.testclient import TestClient\nfrom fastapi import FastAPI\n\n# 动态确定后端路径\ncurrent_dir = os.path.dirname(os.path.abspath(__file__))\nbackend_dir = os.path.abspath(os.path.join(current_dir, \"../../../backend\"))\nsys.path.append(backend_dir)\n\n# 在导入模块之前设置依赖项补丁\npatches = [\n    patch('botocore.client.BaseClient._make_api_call', return_value={}),\n    patch('backend.database.client.MinioClient', MagicMock()),\n    patch('backend.database.client.db_client', MagicMock()),\n    patch('backend.utils.auth_utils.get_current_user_id', \n          MagicMock(return_value=('test_user', 'test_tenant'))),\n    patch('httpx.AsyncClient', MagicMock())\n]\n\n# 启动所有补丁\nfor p in patches:\n    p.start()\n\n# 应用补丁后导入模块\nfrom backend.apps.agent_app import router\n\n# 创建测试应用\napp = FastAPI()\napp.include_router(router)\nclient = TestClient(app)\n```\n\n### API 测试示例\n\n```python\nclass TestAgentApp(unittest.TestCase):\n    \n    def setUp(self):\n        # 设置测试客户端和通用模拟\n        pass\n    \n    def test_create_agent_success(self):\n        \"\"\"测试成功的智能体创建\"\"\"\n        # 设置\n        agent_data = {\n            \"name\": \"Test Agent\",\n            \"description\": \"A test agent\",\n            \"system_prompt\": \"You are a test agent\"\n        }\n        \n        # 执行\n        response = client.post(\"/agents\", json=agent_data)\n        \n        # 断言\n        self.assertEqual(response.status_code, 200)\n        self.assertIn(\"id\", response.json())\n        self.assertEqual(response.json()[\"name\"], \"Test Agent\")\n    \n    def test_create_agent_invalid_data(self):\n        \"\"\"测试使用无效数据的智能体创建\"\"\"\n        # 设置\n        invalid_data = {\"name\": \"\"}  # 缺少必需字段\n        \n        # 执行\n        response = client.post(\"/agents\", json=invalid_data)\n        \n        # 断言\n        self.assertEqual(response.status_code, 422)  # 验证错误\n```\n\n## 服务层测试\n\n服务层测试专注于业务逻辑和数据处理，无需 HTTP 开销。\n\n### 服务测试模式\n\n```python\nclass TestAgentService(unittest.TestCase):\n    \n    @patch(\"backend.database.agent_db.save_agent\")\n    @patch(\"backend.utils.auth_utils.get_current_user_id\")\n    async def test_create_agent_success(self, mock_get_user, mock_save_agent):\n        # 设置\n        mock_get_user.return_value = (\"user123\", \"tenant456\")\n        mock_save_agent.return_value = {\"id\": 1, \"name\": \"Test Agent\"}\n        \n        # 执行\n        result = await create_agent(\n            name=\"Test Agent\",\n            description=\"A test agent\",\n            system_prompt=\"You are a test agent\"\n        )\n        \n        # 断言\n        mock_save_agent.assert_called_once()\n        self.assertEqual(result[\"name\"], \"Test Agent\")\n        self.assertIn(\"id\", result)\n```\n\n### 模拟数据库操作\n\n```python\n@patch(\"backend.database.agent_db.query_agent_by_id\")\n@patch(\"backend.database.agent_db.update_agent\")\nasync def test_update_agent_success(self, mock_update, mock_query):\n    # 设置\n    mock_query.return_value = {\"id\": 1, \"name\": \"Old Name\"}\n    mock_update.return_value = {\"id\": 1, \"name\": \"New Name\"}\n    \n    # 执行\n    result = await update_agent(agent_id=1, name=\"New Name\")\n    \n    # 断言\n    mock_update.assert_called_once_with(agent_id=1, name=\"New Name\")\n    self.assertEqual(result[\"name\"], \"New Name\")\n```\n\n## 工具函数测试\n\n工具函数在隔离环境中测试，使用模拟的依赖项。\n\n### 工具测试示例\n\n```python\nclass TestLangchainUtils(unittest.TestCase):\n    \n    @patch(\"langchain.llms.openai.OpenAI\")\n    def test_create_llm_instance(self, mock_openai):\n        # 设置\n        mock_openai.return_value = MagicMock()\n        \n        # 执行\n        llm = create_llm_instance(model_name=\"gpt-3.5-turbo\")\n        \n        # 断言\n        mock_openai.assert_called_once()\n        self.assertIsNotNone(llm)\n```\n\n## 测试异步代码\n\n后端测试处理同步和异步代码：\n\n### 异步测试模式\n\n```python\nclass TestAsyncService(unittest.TestCase):\n    \n    @patch(\"backend.database.agent_db.async_query\")\n    async def test_async_operation(self, mock_async_query):\n        # 设置\n        mock_async_query.return_value = {\"result\": \"success\"}\n        \n        # 执行\n        result = await async_operation()\n        \n        # 断言\n        self.assertEqual(result[\"result\"], \"success\")\n        mock_async_query.assert_called_once()\n```\n\n## 错误处理测试\n\n全面测试错误处理：\n\n```python\ndef test_api_error_handling(self):\n    \"\"\"测试 API 错误响应\"\"\"\n    # 设置 - 模拟服务抛出异常\n    with patch('backend.services.agent_service.create_agent') as mock_service:\n        mock_service.side_effect = Exception(\"Database error\")\n        \n        # 执行\n        response = client.post(\"/agents\", json={\"name\": \"Test\"})\n        \n        # 断言\n        self.assertEqual(response.status_code, 500)\n        self.assertIn(\"error\", response.json())\n```\n\n## 身份验证和授权测试\n\n彻底测试安全相关功能：\n\n```python\ndef test_authentication_required(self):\n    \"\"\"测试端点需要身份验证\"\"\"\n    # 执行 - 没有身份验证头\n    response = client.get(\"/agents\")\n    \n    # 断言\n    self.assertEqual(response.status_code, 401)\n\ndef test_tenant_isolation(self):\n    \"\"\"测试用户只能访问其租户的数据\"\"\"\n    # 设置 - 模拟身份验证返回不同租户\n    with patch('backend.utils.auth_utils.get_current_user_id') as mock_auth:\n        mock_auth.return_value = (\"user1\", \"tenant1\")\n        \n        # 执行\n        response = client.get(\"/agents\")\n        \n        # 断言 - 验证应用了租户过滤\n        # 这将检查服务层是否按租户过滤\n```\n\n## 覆盖率分析\n\n后端测试生成详细的覆盖率报告：\n\n### 覆盖率命令\n\n```bash\n# 生成覆盖率报告\npython -m pytest test/backend/ --cov=backend --cov-report=html --cov-report=xml\n\n# 在终端中查看覆盖率\npython -m pytest test/backend/ --cov=backend --cov-report=term-missing\n```\n\n### 覆盖率目标\n\n- **API 端点**：90%+ 覆盖率\n- **服务层**：85%+ 覆盖率\n- **工具函数**：80%+ 覆盖率\n- **错误处理**：关键路径 100% 覆盖率\n\n## 测试数据管理\n\n### 固定装置和测试数据\n\n```python\nclass TestWithFixtures(unittest.TestCase):\n    \n    def setUp(self):\n        \"\"\"设置测试数据和模拟\"\"\"\n        self.test_agent = {\n            \"id\": 1,\n            \"name\": \"Test Agent\",\n            \"description\": \"A test agent\",\n            \"system_prompt\": \"You are a test agent\"\n        }\n        \n        self.test_user = (\"user123\", \"tenant456\")\n    \n    def tearDown(self):\n        \"\"\"测试后清理\"\"\"\n        # 如果需要，重置任何全局状态\n        pass\n```\n\n## 性能测试\n\n后端测试包括性能考虑：\n\n```python\ndef test_api_response_time(self):\n    \"\"\"测试 API 响应时间在可接受的时间限制内\"\"\"\n    import time\n    \n    start_time = time.time()\n    response = client.get(\"/agents\")\n    end_time = time.time()\n    \n    # 断言响应时间小于 100ms\n    self.assertLess(end_time - start_time, 0.1)\n    self.assertEqual(response.status_code, 200)\n```\n\n## 后端测试最佳实践\n\n1. **模拟外部依赖**：始终模拟数据库、外部 API 和服务\n2. **测试成功和失败**：覆盖所有可能的代码路径\n3. **使用描述性测试名称**：清楚说明每个测试验证的内容\n4. **保持测试独立**：每个测试都应该能够独立运行\n5. **测试边缘情况**：包括边界条件和错误场景\n6. **维护测试数据**：使用一致、真实的测试数据\n7. **记录复杂测试**：为复杂的测试场景添加注释\n8. **定期覆盖率审查**：监控并随时间改进覆盖率\n\n这个全面的后端测试框架确保所有后端功能在部署前都经过彻底验证，保持高代码质量和可靠性。 "
  },
  {
    "path": "doc/docs/zh/testing/overview.md",
    "content": "# 测试概览\n\nNexent 提供了一个全面的测试框架，确保所有组件的代码质量和可靠性。本指南涵盖了项目中使用的测试策略、工具和最佳实践。\n\n## 测试理念\n\n我们的测试方法建立在四个核心原则之上：\n\n1. **隔离单元**：模拟所有外部依赖\n2. **控制环境**：设置精确的测试条件\n3. **测试接口**：专注于输入和输出\n4. **验证行为**：检查结果和交互\n\n这确保了测试的可靠性、快速性，并且不会影响真实的系统或数据。\n\n## 测试框架\n\n项目使用多种测试框架的组合：\n\n- **unittest**：Python 标准单元测试框架，用于测试组织和断言\n- **unittest.mock**：用于模拟依赖项和隔离组件\n- **TestClient** from FastAPI：用于测试 API 端点而无需运行实际服务器\n- **pytest**：用于高级测试发现和执行\n- **coverage**：用于代码覆盖率分析和报告\n\n## 测试结构\n\n```\ntest/\n├── backend/                 # 后端测试\n│   ├── app/                # API 端点测试\n│   ├── services/           # 服务层测试\n│   └── utils/              # 工具函数测试\n├── frontend/               # 前端测试（未来）\n├── integration/            # 集成测试（未来）\n└── run_all_tests.py       # 主测试运行器\n```\n\n## 主要特性\n\n- 🔍 **自动发现测试文件** - 自动查找所有 `test_*.py` 文件\n- 📊 **覆盖率报告** - 生成控制台、HTML 和 XML 格式的覆盖率报告\n- 🔧 **自动安装依赖** - 自动安装所需的包（如果需要）\n- ✅ **详细输出** - 显示每个测试的运行状态和结果\n- 🚫 **完全隔离** - 从不接触真实的外部服务\n- ⚡ **快速执行** - 无网络延迟或外部服务处理时间\n\n## 运行测试\n\n### 快速开始\n\n```bash\n# 运行所有测试并生成覆盖率报告\ncd test\npython run_all_tests.py\n```\n\n### 后端测试\n\n```bash\n# 仅运行后端测试\npython test/backend/run_all_test.py\n```\n\n### 单个测试文件\n\n```bash\n# 运行特定测试文件\npython -m pytest test/backend/services/test_agent_service.py -v\n```\n\n## 输出文件\n\n测试完成后，您将找到：\n\n- `coverage_html/` - 详细的 HTML 格式覆盖率报告\n- `coverage.xml` - XML 格式覆盖率报告（用于 CI/CD）\n- `.coverage` - 覆盖率数据文件\n- 包含详细测试结果和覆盖率统计的控制台输出\n\n## 测试策略\n\n### 1. 依赖隔离\n\n在导入之前模拟外部模块以避免真实连接：\n\n- 模拟数据库连接\n- 模拟 ElasticSearch 和其他外部服务\n- 测试期间不执行实际的数据库操作\n- 模拟 HTTP 客户端以防止网络调用\n\n### 2. 基于模拟的测试\n\n- 使用 FastAPI 的 TestClient 模拟 HTTP 请求\n- 使用模拟对象拦截外部服务调用\n- 不发生实际的网络连接或端口绑定\n- 模拟身份验证函数以返回可预测的测试值\n\n### 3. 测试组织\n\n- 测试组织为继承自 `unittest.TestCase` 的类\n- 每个 API 端点或函数都有多个测试用例（成功、失败、异常场景）\n- 应用全面的补丁来隔离被测试的代码\n- 测试遵循清晰的设置-执行-断言模式\n\n### 4. API 测试\n\n- 测试 API 端点的正确响应代码、负载结构和错误处理\n- 涵盖同步和异步端点\n- 通过专门的测试用例测试流式响应\n- 彻底测试身份验证和授权\n\n## 模块补丁技术\n\n测试套件中使用的关键技术是在导入之前修补模块。这可以防止任何真实的外部服务连接。\n\n### 示例：导入前补丁\n\n```python\n# 动态确定后端路径\ncurrent_dir = os.path.dirname(os.path.abspath(__file__))\nbackend_dir = os.path.abspath(os.path.join(current_dir, \"../../../backend\"))\nsys.path.append(backend_dir)\n\n# 在导入模块之前设置依赖项补丁\npatches = [\n    patch('botocore.client.BaseClient._make_api_call', return_value={}),\n    patch('backend.database.client.MinioClient', MagicMock()),\n    patch('backend.database.client.db_client', MagicMock()),\n    patch('backend.utils.auth_utils.get_current_user_id', \n          MagicMock(return_value=('test_user', 'test_tenant'))),\n    patch('httpx.AsyncClient', MagicMock())\n]\n\n# 启动所有补丁\nfor p in patches:\n    p.start()\n\n# 现在在应用所有补丁后导入模块\nfrom backend.apps.file_management_app import router\n```\n\n### 这种方法的优势\n\n1. **完全隔离**：从不接触真实的外部服务\n2. **无副作用**：测试无法修改生产数据库或服务\n3. **更快的测试**：无网络延迟或外部服务处理时间\n4. **可预测的结果**：测试使用受控的模拟数据以获得一致的结果\n5. **无端口绑定**：FastAPI 应用程序从不绑定到真实的网络端口\n\n## 测试示例\n\n以下是测试结构化的详细示例：\n\n```python\n@patch(\"utils.auth_utils.get_current_user_id\")\n@patch(\"database.agent_db.query_all_tools\")\nasync def test_list_tools_api_success(self, mock_query_all_tools, mock_get_current_user_id):\n    # 设置\n    mock_get_current_user_id.return_value = (\"user123\", \"tenant456\")\n    expected_tools = [{\"id\": 1, \"name\": \"Tool1\"}, {\"id\": 2, \"name\": \"Tool2\"}]\n    mock_query_all_tools.return_value = expected_tools\n    \n    # 执行\n    result = await list_tools_api(authorization=\"Bearer fake_token\")\n    \n    # 断言\n    mock_get_current_user_id.assert_called_once_with(\"Bearer fake_token\")\n    mock_query_all_tools.assert_called_once_with(tenant_id=\"tenant456\")\n    self.assertEqual(result, expected_tools)\n```\n\n## 覆盖率报告\n\n测试套件生成全面的覆盖率报告：\n\n- **控制台输出**：逐行覆盖率详细信息\n- **HTML 报告**：`coverage_html/` 中的详细覆盖率报告\n- **XML 报告**：用于 CI/CD 集成的覆盖率数据\n- **摘要统计**：总体覆盖率百分比和缺失行\n\n## 示例输出\n\n```\nNexent Community - Unit Test Runner\n============================================================\n发现的测试文件：\n----------------------------------------\n  • backend/services/test_agent_service.py\n  • backend/services/test_conversation_management_service.py\n  • backend/services/test_knowledge_summary_service.py\n\n总计：3 个测试文件\n\n============================================================\n运行单元测试和覆盖率\n============================================================\n\ntest_get_enable_tool_id_by_agent_id ... ok\ntest_save_message_with_string_content ... ok\ntest_load_knowledge_prompts ... ok\n...\n\n============================================================\n覆盖率报告\n============================================================\n名称                                               Stmts   Miss  Cover   Missing\n--------------------------------------------------------------------------------\nbackend/services/agent_service.py                   120     15    88%   45-50, 78-82\nbackend/services/conversation_management_service.py  180     25    86%   123-128, 156-162\nbackend/services/knowledge_summary_service.py        45      8    82%   35-42\n--------------------------------------------------------------------------------\n总计                                               345     48    86%\n\nHTML 覆盖率报告生成在：test/coverage_html\nXML 覆盖率报告生成：test/coverage.xml\n\n============================================================\n✅ 所有测试通过！\n```\n\n## 依赖项\n\n测试运行器会自动安装所需的包（如果尚未可用）：\n\n- `pytest-cov` - 用于 pytest 覆盖率集成\n- `coverage` - 用于代码覆盖率分析\n- `pytest` - 用于高级测试发现和执行\n\n## 最佳实践\n\n1. **始终在导入模块之前模拟外部依赖**\n2. **使用描述性的测试名称**来解释正在测试的内容\n3. **遵循设置-执行-断言模式**以获得清晰的测试结构\n4. **测试成功和失败场景**以获得全面的覆盖率\n5. **保持测试独立** - 每个测试都应该能够独立运行\n6. **使用有意义的模拟数据**来代表真实世界的场景\n7. **用清晰的注释记录复杂的测试场景**\n\n这个测试框架确保所有代码更改在部署前都经过彻底验证，在整个 Nexent 平台中保持高代码质量和可靠性。 "
  },
  {
    "path": "doc/docs/zh/user-guide/agent-development.md",
    "content": "# 智能体开发\n\n在智能体开发页面中，您可以创建、配置和管理智能体。智能体是 Nexent 的核心功能，它们能够理解您的需求并执行相应的任务。\n\n## 🔧 创建智能体\n\n在 Agent 管理页签下，点击\"创建 Agent\"即可创建一个空白智能体，点击\"退出创建\"即可退出创建模式。\n如果您有现成的智能体配置，也可以导入使用：\n\n1. 点击\"导入 Agent\"\n2. 在弹出的文件选择对话框中选择智能体配置文件（JSON 格式）\n3. 点击\"打开\"按钮，系统会验证配置文件的格式和内容，并显示导入的智能体信息\n\n<div style=\"display: flex; justify-content: left;\">\n  <img src=\"./assets/agent-development/import.png\" style=\"width: 80%; height: auto;\" />\n</div>\n\n> ⚠️ **提示**：如果导入了重名的智能体，系统会弹出提示弹窗。您可以选择：\n> - **直接导入**：保留重复名称，导入后的智能体会处于不可用状态，需手动修改 Agent 名称和变量名后才能使用\n> - **重新生成并导入**：系统将调用 LLM 对 Agent 进行重命名，会消耗一定的模型 token 数，可能耗时较长\n\n> 📌 **重要说明**：通过导入创建的智能体，如果其工具中包含 `knowledge_base_search` 等知识库检索工具，这些工具只会检索**当前登录用户在本环境中有权限访问的知识库**。导入文件中原有的知识库配置不会自动继承，因此实际检索结果和回答效果，可能与智能体原作者环境下的表现存在差异。\n\n<div style=\"display: flex; justify-content: left;\">\n  <img src=\"./assets/agent-development/duplicated_import.png\" style=\"width: 80%; height: auto;\" />\n</div>\n\n## 👥 配置协作智能体/工具\n\n您可以为创建的智能体配置其他协作智能体，也可以为它配置可使用的工具，以赋予智能体能力完成复杂任务。\n\n### 🤝 协作 Agent\n\n1. 点击\"协作 Agent\"页签下的加号，弹出可选择的智能体列表\n2. 在下拉列表中选择要添加的智能体\n3. 允许选择多个协作智能体\n4. 可点击 × 取消选择此智能体\n\n<div style=\"display: flex; justify-content: left;\">\n  <img src=\"./assets/agent-development/set-collaboration.png\" style=\"width: 50%; height: auto;\" />\n</div>\n\n### 🛠️ 选择 Agent 的工具\n\n智能体可以使用各种工具来完成任务，如知识库检索、文件解析、图片解析、收发邮件、文件管理等本地工具，也可接入第三方 MCP 工具，或自定义工具。\n\n1. 在\"选择 Agent 的工具\"页签右侧，点击\"刷新工具\"来刷新可用工具列表\n2. 选择想要添加工具所在的分组\n3. 查看分组下可选用的所有工具，可点击 ⚙️ 查看工具描述，进行工具参数配置\n4. 点击工具名即可选中该工具，再次点击可取消选择\n   - 如果工具有必备参数没有配置，选择时会弹出弹窗引导进行参数配置\n   - 如果所有必备参数已配置完成，选择则会直接选中\n\n<div style=\"display: flex; justify-content: left;\">\n  <img src=\"./assets/agent-development/set-tool.png\" style=\"width: 50%; height: auto;\" />\n</div>\n\n> 💡 **小贴士**：\n> 1. 请选择 `knowledge_base_search` 工具，启用知识库的检索功能。\n> 2. 请选择 `analyze_text_file` 工具，启用文档类、文本类文件的解析功能。\n> 3. 请选择 `analyze_image` 工具，启用图片类文件的解析功能。\n> \n> 📚 想了解系统已经内置的所有本地工具能力？请参阅 [本地工具概览](./local-tools/index.md)。\n\n### 🔌 添加 MCP 工具\n\n在\"选择 Agent 的工具\"页签右侧，点击\"MCP 配置\"，可在弹窗中进行 MCP 服务器的配置，查看已配置的 MCP 服务器\n\n您可以通过以下两种方式在 Nexent 中添加 MCP 服务\n\n**1️⃣ 通过 URL 添加 MCP 服务**\n\n🔔 该方法适用于已有独立部署的 MCP 服务（支持 SSE 与 Streamble HTTP 协议）：\n\n>1. 在界面上方的 **Add MCP Server** 区域填写 **Server name** 、 **Server URL** \n>\n>⚠️ **注意**：服务器名称只能包含英文字母和数字，不能包含空格、下划线等其他字符\n>\n>2. 点击 右侧 **+ Add** 按钮，完成单个服务添加\n\n**2️⃣ 通过 JSON 配置添加容器化 MCP 服务**\n\n🔔 该方法适用于 npx 部署的容器化 MCP 服务\n\n>1. 在 **Add Containerized MCP Service** 输入框中，填写符合示例格式的 JSON 配置\n>\n>```json\n>{\n> \"mcpServers\": {\n>   \"service-name\": {\n>     \"args\": [\n>       \"mcp-package-name@version\",\n>       \"additional-parameters\"\n>     ],\n>     \"command\": \"npx\"\n>   }\n> }\n>}\n>```\n>\n>2. 在下方 **Port** 输入框中，填写容器化服务对应的端口号\n>3. 点击右侧 **+ Add** 按钮，完成容器化服务添加\n\n<div style=\"display: flex; justify-content: left;\">\n  <img src=\"./assets/agent-development/mcp.png\" style=\"width: 80%; height: auto;\" />\n</div>\n\n有许多第三方服务如 [ModelScope](https://www.modelscope.cn/mcp) 提供了 MCP 服务，您可以快速接入使用。\n您也可以自行开发 MCP 服务并接入 Nexent 使用，参考文档 [MCP 工具开发](../backend/tools/mcp)。\n\n### ⚙️ 自定义工具\n\n您可参考以下指导文档，开发自己的工具，并接入 Nexent 使用，丰富 Agent 能力。\n\n- [LangChain 工具指南](../backend/tools/langchain)\n- [MCP 工具开发](../backend/tools/mcp)\n- [SDK 工具文档](../sdk/core/tools)\n\n### 🧪 工具测试\n\n无论是什么类型的工具（内置工具、外部接入的 MCP 工具，还是自定义开发工具），Nexent 都提供了\"工具测试\"能力。如果您在创建 Agent 时不确定某个工具的效果，可以使用测试功能来验证工具是否按预期工作。\n\n1. 点击工具的小齿轮按钮 ⚙️，进入工具的详细配置弹窗\n2. 首先确保已经配置了工具的必备参数（带红色星号的参数）\n3. 在弹窗的左下角点击\"工具测试\"按钮\n4. 右侧会新弹出一个测试框\n5. 在测试框中输入测试工具的入参，例如：\n   - 测试本地知识库检索工具 `knowledge_base_search` 时，需要输入：\n     - 测试的 `query`，例如\"维生素C的功效\"\n     - 检索的模式 `search_mode`（默认为 `hybrid`）\n     - 目标检索的知识库列表 `index_names`，如 `[\"医疗\", \"维生素知识大全\"]`\n     - 若不输入 `index_names`，则默认检索知识库页面所选中的全部知识库\n6. 输入完成后点击\"执行测试\"开始测试，并在下方查看测试结果\n\n<div style=\"display: flex; justify-content: left;\">\n  <img src=\"./assets/agent-development/tool-test-run.png\" style=\"width: 80%; height: auto;\" />\n</div>\n\n## 📝 描述业务逻辑\n\n### ✍️ 描述 Agent 应该如何工作\n\n根据选择的协作 Agent 和工具，您现在可以用简洁的语言来描述，您希望这个 Agent 应该如何工作。Nexent 会根据您的配置和描述，自动为您生成 Agent 名称、描述以及提示词等信息。\n\n1. 在\"描述 Agent 应该如何工作\"下的编辑框中，输入简洁描述，如\"你是一个专业的知识问答小助手，具备本地知识检索和联网检索能力，综合信息以回答用户问题\"\n2. 选择模型（生成提示词时选择更聪明的模型以优化回复逻辑），点击\"生成智能体\"按钮，Nexent 会为您生成 Agent 详细内容，包括基础信息以及提示词（角色、使用要求、示例）\n3. 您可在下方 Agent 详细内容中，针对自动生成的内容（特别是提示词）进行编辑微调\n\n<div style=\"display: flex; justify-content: left;\">\n  <img src=\"./assets/agent-development/generate-agent.png\" style=\"width: 50%; height: auto;\" />\n</div>\n\n### 🐛 调试与保存\n\n在完成初步 Agent 配置后，您可以对 Agent 进行调试，根据调试结果微调提示词，持续提升 Agent 表现。\n\n1. 在页面右下角点击\"调试\"按钮，弹出智能体调试页面\n2. 与智能体进行测试对话，观察智能体的响应和行为\n3. 查看对话表现和错误信息，根据测试结果优化智能体提示词\n\n调试成功后，可点击右下角\"保存\"按钮，此智能体将会被保存并出现在智能体列表中。\n\n### 🐛 版本管理\n\nNexent 支持智能体的版本管理，您可以在调试过程中，保存不同版本的智能体配置。\n\n确认智能体配置无误后，您可发布智能体。发布后智能体将在智能体空间、开始问答中可见。\n\n![版本管理1](./assets/agent-development/version_management_1.png)\n\n若需回滚到其他版本，可在版本管理页面点击\"回滚\"按钮。\n\n![版本管理2](./assets/agent-development/version_management_2.png)\n\n\n## 🔧 管理智能体\n\n在左侧智能体列表中，您可对已有的智能体进行以下操作：\n\n### 🔗 查看调用关系\n\n查看智能体所使用的协作智能体/工具，以树状图形式明晰查看智能体调用关系。\n\n<div style=\"display: flex; justify-content: left;\">\n  <img src=\"./assets/agent-development/agent-relationship.png\" style=\"width: 80%; height: auto;\" />\n</div>\n\n### 📤 导出\n\n可将调试成功的智能体导出为 JSON 配置文件，在创建 Agent 时可以使用此 JSON 文件以导入的方式创建副本。\n\n\n### 📋 复制\n\n复制 Agent，便于智能体的实验、多版本调试与并行开发。\n\n### 🗑️ 删除\n\n删除智能体（不可撤销，请谨慎操作）。\n\n## 🚀 下一步\n\n完成智能体开发后，您可以：\n\n1. 在 **[智能体空间](./agent-space)** 中查看和管理所有智能体\n2. 在 **[开始问答](./start-chat)** 中与智能体进行交互\n3. 在 **[记忆管理](./memory-management)** 配置记忆以提升智能体的个性化能力\n\n如果您在使用程中遇到任何问题，请参考我们的 **[常见问题](../quick-start/faq)** 或在 [GitHub Discussions](https://github.com/ModelEngine-Group/nexent/discussions) 中进行提问获取支持。\n"
  },
  {
    "path": "doc/docs/zh/user-guide/agent-market.md",
    "content": "# 智能体市场\n\n🎁 这里汇集了由 **Nexent 官方**与**社区创作者**打造的高质量智能体\n\n您可以直接使用它们完成具体任务，或将其作为子智能体，组合进自己的智能体中\n\n![智能体市场](./assets/agent-market/agent-market.png)\n\n## 🔍 探索与发现\n\n您可以通过以下方式快速找到最优的智能体：\n\n1. 按使用场景分类浏览或搜索\n2. 查看智能体的功能简介，确认是否符合您的需求 🆗\n3. 查看内置工具，确认是否已就绪或可获取 ✅\n\n<div style=\"display: flex; justify-content: center; gap: 16px; flex-wrap: wrap;\">\n\n\n  <img src=\"./assets/agent-market/agent-market-detail.png\" \n       style=\"width: auto; height: auto;\" \n       alt=\"选择智能体\" />\n\n  <img src=\"./assets/agent-market/agent-market-detail2.png\" \n       style=\"width: auto; height: auto;\" \n       alt=\"对话框\" />\n</div>\n\n## 🔧 安装智能体\n\n选择心仪的智能体，一键下载，即刻加入您的智能体空间\n\n### 1️⃣ 选择模型\n\n🌟 确认模型可用\n\n✍️ 为智能体统一配置同一个模型，或为主智能体和子智能体分别选配合适的模型\n\n![智能体市场下载](./assets/agent-market/agent-market-download.png)\n\n### 2️⃣ 配置本地工具\n\n🔑 依据提示补充本地工具的许可\n\n![智能体市场下载2](./assets/agent-market/agent-market-download2.png)\n\n### 3️⃣ 配置外部 MCP 工具\n\n🔑 依据提示补充 MCP 工具的许可\n\n![智能体市场下载3](./assets/agent-market/agent-market-download3.png)\n\n安装完成后，您的智能体会在 **[智能体空间](./agent-space)** 准备好\n\n## 📢 分享您的创作\n\n创作了优秀的智能体？ 👍\n\n欢迎在 [GitHub Discussions](https://github.com/ModelEngine-Group/nexent/discussions) 中分享您的作品，我们会尽快与您取得联系，让更多人看到并使用它！\n\n## 🚀 相关功能\n\n在等待智能体市场上线期间，您可以：\n\n1. 在 **[智能体空间](./agent-space)** 中管理您自己的智能体\n2. 通过 **[智能体开发](./agent-development)** 创建专属智能体\n3. 在 **[开始问答](./start-chat)** 中体验智能体的强大功能\n\n如果您使用过程中遇到任何问题，请参考我们的 **[常见问题](../quick-start/faq)** 或在 [GitHub Discussions](https://github.com/ModelEngine-Group/nexent/discussions) 中进行提问获取支持。\n"
  },
  {
    "path": "doc/docs/zh/user-guide/agent-space.md",
    "content": "# 智能体空间\n\n智能体空间是您管理所有已开发智能体的中心。在这里，您可以卡片形式查看所有智能体及智能体详细配置，进行智能体删除、导出等管理操作。\n![智能体空间](./assets/agent-space/agent-space.png)\n\n## 📦 智能体卡片展示\n\n智能体空间以卡片形式展示所有已开发好的智能体，每个卡片包含：\n\n- **智能体图标**：智能体的标识图标\n- **智能体名称**：智能体的显示名称\n- **智能体作者**：智能体的作者\n- **智能体描述**：智能体的功能描述\n- **智能体状态**：智能体是否可用的状态\n- **操作按钮**：快速操作入口\n\n## 🔧 管理智能体\n\n在智能体空间中，您可以对每个智能体进行以下操作：\n\n### 查看智能体详细信息\n\n点击智能体卡片，即可查看智能体详细信息：\n\n- **基础信息**：智能体ID、名称、描述、状态等\n- **模型配置**：模型名称、最大部署、业务逻辑模型名称等\n- **提示词**：包含角色提示词、约束提示词、示例提示词、以及原始业务描述\n- **工具**：配置的工具\n- **子智能体**：配置的子智能体\n\n![智能体详细信息](./assets/agent-space/agent-details.png)\n\n### 编辑智能体\n\n1. 点击智能体卡片上的\"编辑\"按钮\n2. 跳转到智能体开发页面进行修改\n3. 保存后更新会同步到智能体空间\n\n### 删除智能体\n\n1. 点击智能体卡片上的\"删除\"按钮\n2. 确认删除操作（此操作不可撤销）\n3. 删除后智能体将从列表中移除\n\n> ⚠️ **注意事项**：删除智能体是不可撤销的操作，请谨慎操作。\n\n### 导出智能体\n\n1. 点击智能体卡片上的\"导出\"按钮\n2. 系统会下载智能体配置文件（JSON格式），可用于后续导入或备份\n\n### 查看调用关系\n\n1. 点击智能体卡片上的\"查看关系\"按钮\n2. 查看该智能体与工具/其他智能体的协作关系\n\n### 跳转到对话\n\n1. 点击智能体卡片上的\"对话\"按钮\n2. 直接跳转到对话页面，使用该智能体进行交互\n\n## 🚀 下一步\n\n在智能体空间中完成管理后，您可以：\n\n1. 在 **[开始问答](./start-chat)** 中与智能体进行交互\n2. 继续 **[智能体开发](./agent-development)** 创建更多智能体\n3. 配置 **[记忆管理](./memory-management)** 以提升智能体的记忆能力\n\n如果您在使用过程中遇到任何问题，请参考我们的 **[常见问题](../quick-start/faq)** 或在[GitHub Discussions](https://github.com/ModelEngine-Group/nexent/discussions)中进行提问获取支持。\n"
  },
  {
    "path": "doc/docs/zh/user-guide/home-page.md",
    "content": "# 👏 欢迎来到 Nexent\n\n**Nexent** 是一款面向未来的零代码智能体开发平台\n\n致力于让每个人都能轻松✏️构建和部署专属的AI智能体\n\n无需编程，无复杂操作，点击几下，就能让 AI 为你工作💪\n\n👉 本用户指南将带您快速上手 Nexent，让智能体为您的工作和生活带来新的惊喜与价值🎉\n\n## 🏠 首页概览\n\nNexent首页展示了平台的核心功能，为您提供快速入口：\n\n![首页概览](./assets/home-page/homepage.png)\n\n### 🔘 功能按钮\n\n1. **开始问答**：进入对话页面，选择智能体进行交互\n2. **快速配置**：按顺序完成模型管理、知识库和智能体开发配置\n3. **智能体空间**：查看和管理所有已开发的智能体\n\n### ➡️ 左侧导航栏\n\n以管理员账号为例，页面左侧提供了完整的导航栏，包含以下模块：\n\n- **首页**：返回平台首页\n- **开始问答**：进入对话页面，选择智能体进行交互\n- **快速配置**：按步骤完成模型 -> 知识库 -> 智能体配置，几分钟即可开始\n- **智能体空间**：集中查看和管理您开发的所有智能体\n- **智能体市场**：探索并获取现有的智能体\n- **智能体开发**：创建和配置智能体\n- **知识库**：上传文档和资料，让智能体理解你的专属知识\n- **MCP 工具**：连接服务器、同步工具、查看状态，一目了然（即将上线）\n- **监控与运维**：实时掌控智能体的运行状态（即将上线）\n- **模型管理**：管理应用信息与模型配置，连接你需要的 AI 能力\n- **记忆管理**：控制智能体的长期记忆，让对话更高效\n- **个人信息**：查看和管理您的个人信息，如邮箱、角色、用户组等\n- **租户资源**：查看和管理您的租户资源，如用户、模型、知识库、智能体等\n\n\n页面右上角支持**语言切换**（简体中文/English）\n\n页面左下角展示了当前 Nexent 版本号，有助于您寻求帮助或报告问题。\n\n## 🚀 快速开始\n\n建议按照以下顺序完成配置，也可以直接点击“快速配置”按钮：\n\n1️⃣ **[模型管理](./model-management)**，配置应用信息并接入模型\n\n2️⃣ **[知识库](./knowledge-base)**，上传您的文档和资料\n\n3️⃣ **[智能体开发](./agent-development)**，创建您的专属智能体\n\n4️⃣ **[开始问答](./start-chat)** 立即与智能体互动，体验成果\n\n\n## 🙋 获取帮助\n\n遇到问题时，您可以：\n\n- 查看 **[常见问题](../quick-start/faq)**\n- 在 [GitHub Discussions](https://github.com/ModelEngine-Group/nexent/discussions) 中提问\n\n💡 保持您的 Nexent 处于最新版本，我们会修复已知问题"
  },
  {
    "path": "doc/docs/zh/user-guide/knowledge-base.md",
    "content": "# 知识库\n\n在知识库模块，您可以创建和管理知识库，上传各种格式的文件，并生成内容总结。知识库是智能体的重要信息来源，让智能体能够访问您的私有数据和文档。\n\n## 🔧 创建知识库\n\n1. 点击\"创建知识库\"按钮\n2. 为知识库设置一个易于识别的名称\n\n## 📁 上传文件\n\n### 上传文件\n\n1. 在知识库列表中选择要上传文件的知识库\n2. 点击文件上传区域，选择要上传的文件（支持多选），或直接拖拽文件到上传区域\n3. 系统会自动处理上传的文件，提取文本内容并进行向量化\n4. 可在列表中查看文件的处理状态（解析中/入库中/已就绪）\n\n![文件上传](./assets/knowledge-base/create-knowledge-base.png)\n\n💡 光标移动至状态，以了解进度及报错原因\n\n![文件上传](./assets/knowledge-base/tip.png)\n\n### 支持的文件格式\n\nNexent支持多种文件格式，包括：\n\n- **文本**: .txt, .md文件\n- **PDF**: .pdf文件\n- **Word**: .docx文件\n- **PowerPoint**: .pptx文件\n- **Excel**: .xlsx文件\n- **数据文件**: .csv文件\n\n## 📊 知识库总结\n\n建议您为每个知识库配置准确且完整的总结描述，这有助于后续智能体在进行检索时，准确选择合适的知识库。\n\n1. 点击“详细内容”按钮进入知识库详细内容查看界面\n2. 选择合适的模型，点击“自动总结”按钮为知识库自动生成内容总结\n3. 您可对生成的内容总结进行编辑修改，使其更准确\n4. 最后记得点击“保存”将您的修改保存\n\n![内容总结](./assets/knowledge-base/summary-knowledge-base.png)\n\n## 🔧 使用知识库\n\nNexent支持知识库与智能体单独绑定，在创建智能体时，**启用knowledge_base_search工具**，并选择关联的知识库\n<img src=\"./assets/knowledge-base/knowledge-tool.png\" alt=\"工具1\" style=\"width:75%;\">\n![工具2](./assets/knowledge-base/knowledge-tool2.png)\n\n## 🔍 知识库管理\n\n### 查看知识库\n\n1. **知识库列表**\n   - 知识库页面左侧展示了所有已创建的知识库\n   - 知识库列表处支持对知识库来源和向量模型的筛选\n   - 显示知识库名称、文件数量、创建时间、用户组等信息\n\n> 点击编辑，可管理知识库的名称、可见的用户组及组内权限\n\n<img src=\"./assets/knowledge-base/knowledge-base-permission.png\" alt=\"知识库权限\" style=\"width:50%;\">\n\n2. **知识库详情**\n   - 点击知识库名称，可查看知识库中全部文档信息\n   - 点击“详细内容”，可查看知识库的内容总结\n\n### 编辑知识库\n\n1. **删除知识库**\n   - 点击知识库名称右侧“删除”按钮\n   - 确认删除操作（此操作不可恢复）\n\n2. **删除或新增文件**\n   - 点击知识库名称，在文件列表中点击“删除”按钮，可从知识库中删除文件\n   - 点击知识库名称，在文件列表下方文件上传区域，可新增文件到知识库中\n\n## 🚀 下一步\n\n完成知识库配置后，建议您继续配置：\n\n1. **[智能体开发](./agent-development)** - 创建和配置智能体\n2. **[开始问答](./start-chat)** - 与智能体进行交互\n\n如果您在使用过程中遇到任何问题，请参考我们的 **[常见问题](../quick-start/faq)** 或在[GitHub Discussions](https://github.com/ModelEngine-Group/nexent/discussions)中进行提问获取支持。"
  },
  {
    "path": "doc/docs/zh/user-guide/local-tools/email-tools.md",
    "content": "---\ntitle: 邮件工具\n---\n\n# 邮件工具\n\n邮件工具组支持收取与发送邮件，适合在智能体中获取通知或发送结果汇报。\n\n## 🧭 工具清单\n\n- `get_email`：按时间范围、发件人获取邮件，限制返回数量\n- `send_email`：发送 HTML 格式邮件，支持多收件人、抄送、密送\n\n## 🧰 使用场景示例\n\n- 周期性抓取近 7 天内的通知邮件，供后续摘要或分析\n- 发送执行结果到指定收件人并抄送团队成员\n- 针对特定发件人（如监控账户）筛选告警邮件\n\n## 🧾 参数要求与行为\n\n### get_email\n- `days`：获取过去 N 天邮件，默认 7。\n- `sender`：按邮箱地址过滤发件人，可选。\n- `max_emails`：最大返回邮件数，默认 10。\n- 需要提供 IMAP 服务器地址、端口、用户名、密码；支持 SSL。\n- 返回邮件主题、时间、发件人、正文摘要等 JSON 信息。\n\n### send_email\n- `to`：收件人列表，使用逗号分隔。\n- `subject`：邮件主题。\n- `content`：邮件正文，支持 HTML。\n- `cc`、`bcc`：抄送/密送列表，逗号分隔，可选。\n- 需要提供 SMTP 服务器地址、端口、用户名、密码；可设置发件人展示名与 SSL。\n- 返回发送状态、主题、收件人信息。\n\n## 🛠️ 操作指引\n\n1. **获取邮箱配置**：准备 IMAP/SMTP 地址、端口、账号密码，确认是否启用 SSL。\n2. **收取邮件**：调用 `get_email`，按需设置 `days`、`sender`、`max_emails`。若需更窄范围，先测试少量结果。\n3. **发送邮件**：调用 `send_email`，填写收件人、主题与 HTML 正文；如需抄送/密送可添加 `cc`/`bcc`。\n4. **内容处理**：收取的邮件正文可再结合模型做摘要或提取关键信息。\n\n## 🛡️ 安全与最佳实践\n\n- 邮箱账号请使用专用的应用密码或受限账号，避免暴露主密码。\n- 控制 `max_emails` 防止一次抓取过多数据。\n- 发送前检查收件人列表，避免误发；生产环境可限制允许的域名。\n\n## 📮 常见邮箱配置\n\n> 建议使用各邮箱的“应用专用密码”并在邮箱设置中启用 IMAP/SMTP。端口号为行业常用值，若服务商有最新要求请以官方文档为准。\n\n- QQ 邮箱：IMAP `imap.qq.com:993`（SSL），SMTP `smtp.qq.com:465`（SSL）；需要在 QQ 邮箱中开启“IMAP/SMTP 服务”并申请授权码。\n- Gmail：IMAP `imap.gmail.com:993`，SMTP `smtp.gmail.com:465`（SSL）或 `587`（STARTTLS）；需要开启 IMAP 并使用应用密码（建议关闭不安全访问）。\n- Outlook（Microsoft 365 / Hotmail）：IMAP `outlook.office365.com:993`，SMTP `smtp.office365.com:587`（STARTTLS）；企业租户可能要求现代认证或应用密码。\n- 163 邮箱：IMAP `imap.163.com:993`（SSL），SMTP `smtp.163.com:465`（SSL）；需在邮箱设置里开启“客户端授权密码/安全密码”。\n\n"
  },
  {
    "path": "doc/docs/zh/user-guide/local-tools/file-tools.md",
    "content": "---\ntitle: 文件工具\n---\n\n# 文件工具\n\n文件工具组提供在工作空间内安全、受限的文件与目录操作，所有路径都必须是相对于工作空间的相对路径，默认工作空间根目录为 `/mnt/nexent`。\n\n## 🧭 工具清单\n\n- `create_directory`：创建目录（自动创建父级，支持权限设置）\n- `create_file`：创建文件并写入内容（自动创建父级）\n- `read_file`：读取文件内容与元信息\n- `list_directory`：以树形列出目录结构\n- `move_item`：移动文件或目录到新位置（防止覆盖）\n- `delete_file`：删除单个文件（不可恢复）\n- `delete_directory`：递归删除目录及其内容（不可恢复）\n\n## 🧰 使用场景示例\n\n- 初始化项目目录、生成配置文件\n- 查看日志、检查文件大小或行数\n- 列出工作空间结构，确认文件位置\n- 批量迁移文件到备份目录\n- 清理无用文件或临时目录\n\n## 🧾 参数要求与行为\n\n### 通用限制\n- 路径必须在工作空间内，禁止越界访问绝对路径。\n- 删除与移动操作不可恢复，请谨慎使用。\n\n### 关键参数\n- `directory_path` / `file_path` / `source_path` / `destination_path`：相对路径，必填。\n- `permissions`（create_directory）：八进制权限字符串，默认 `755`。\n- `encoding`（create_file / read_file）：文件编码，默认 `utf-8`。\n- `max_depth`、`show_hidden`、`show_size`（list_directory）：控制目录树展示深度、是否显示隐藏文件、是否显示大小。\n\n### 返回结果\n- 成功时返回 JSON，包含相对/绝对路径、大小、是否已存在等信息。\n- 失败时返回明确的错误原因（路径越界、目标已存在、权限问题等）。\n\n## 🛠️ 操作指引\n\n1. **创建**：使用 `create_directory` 或 `create_file`，传入相对路径；需要自定义权限或编码时显式填写。\n2. **查看**：使用 `list_directory` 浏览结构；用 `read_file` 获取内容和元数据。\n3. **移动**：用 `move_item` 将文件/目录迁移到新位置，若目标已存在会中断以避免覆盖。\n4. **删除**：用 `delete_file` 或 `delete_directory` 清理资源，操作不可恢复，请先确认路径。\n\n## 🛡️ 安全与最佳实践\n\n- 仅在工作空间内操作，避免绝对路径或 `..` 越界。\n- 删除前可先 `list_directory` 或 `read_file` 确认目标。\n- 大文件读取会给出提示，必要时分块处理或避免一次性读取超大文件。\n\n"
  },
  {
    "path": "doc/docs/zh/user-guide/local-tools/index.md",
    "content": "# 概览\n\n本地工具为智能体提供与工作空间、远程主机、外部服务交互的能力，涵盖文件操作、邮件、搜索、多模态与远程终端。每个工具都有独立页面，按功能分组说明使用方式与注意事项。\n\n## 📂 目录\n\n- [文件工具](./file-tools)：创建/读取/移动/删除文件与目录，树形列目录。\n- [邮件工具](./email-tools)：收取 IMAP 邮件，发送 HTML 邮件（支持抄送/密送）。\n- [搜索工具](./search-tools)：本地/DataMate/Dify 知识库检索与 Exa/Tavily/Linkup 公网搜索。\n- [多模态工具](./multimodal-tools)：文本文件与图片的下载、解析、模型分析。\n- [终端工具](./terminal-tool)：持久化 SSH 会话，远程执行命令。\n\n## ⚙️ 配置入口\n\n1. 打开 **[智能体开发](../agent-development)** 页面。\n2. 在“选择 Agent 的工具”中找到对应工具，点击配置。\n3. 填写连接或鉴权参数，保存并启用，建议先进行测试连接。\n\n## 💡 使用建议\n\n- 路径类操作仅限工作空间范围，请使用相对路径。\n- 公网搜索需先在平台安全配置中填写 API Key。\n- 终端工具涉及远程主机，请确认网络与账号安全策略。\n- 删除、移动类操作不可恢复，执行前先确认目标。"
  },
  {
    "path": "doc/docs/zh/user-guide/local-tools/multimodal-tools.md",
    "content": "---\ntitle: 多模态工具\n---\n\n# 多模态工具\n\n多模态工具组支持分析文本文件与图片，结合模型能力生成用户问题相关的解读结果。支持 S3、HTTP、HTTPS 等 URL。\n\n## 🧭 工具清单\n\n- `analyze_text_file`：下载并提取文本文件内容后进行分析\n- `analyze_image`：下载图片并使用视觉语言模型进行理解与描述\n\n## 🧰 使用场景示例\n\n- 对上传到存储桶的文档进行快速摘要或要点提取\n- 对截图、产品图片、报表图进行内容解读或关键信息提取\n- 结合问题指令，对多份文件/图片分别生成答案列表\n\n## 🧾 参数要求与行为\n\n### analyze_text_file\n- `file_url_list`：文件 URL 列表，支持 `s3://bucket/key`、`/bucket/key`、`http(s)://`。\n- `query`：用户问题/分析需求。\n- 会逐个文件下载、提取文本，再基于问题生成对应分析结果数组。\n\n### analyze_image\n- `image_urls_list`：图片 URL 列表，支持 `s3://bucket/key`、`/bucket/key`、`http(s)://`。\n- `query`：用户问题/关注点。\n- 会逐张图片下载并调用视觉语言模型，返回与顺序对应的描述或答案数组。\n\n## ⚙️ 前置配置\n\n- 确保已在平台配置可用的存储客户端（如 MinIO/S3）及数据处理服务地址，保证能下载文件。\n- 为 `analyze_text_file` 配置可用的 LLM；为 `analyze_image` 配置可用的视觉语言模型。\n\n## 🛠️ 操作指引\n\n1. 准备文件或图片的可访问 URL，确认权限与路径正确。\n2. 调用相应工具，填写 URL 列表与问题描述；支持一次处理多条资源。\n3. 检查返回的数组结果顺序与输入列表一致，便于继续引用或展示。\n\n## 💡 最佳实践\n\n- 对体积较大的文件可先在数据处理服务中做预处理或分片，减少超时风险。\n- 处理多张图片时，可在问题中明确关注点（如“只关注图表中的趋势”）以提升回答质量。\n- 若返回为空或报错，先验证 URL 可访问性和模型配置是否就绪。\n\n"
  },
  {
    "path": "doc/docs/zh/user-guide/local-tools/search-tools.md",
    "content": "---\ntitle: 搜索工具\n---\n\n# 搜索工具\n\n搜索工具组提供多源信息检索，覆盖互联网搜索、本地知识库、DataMate 知识库以及 Dify 知识库。适合实时信息查询、行业资料检索、私有文档查找等场景。\n\n## 🧭 工具清单\n\n- 本地/私有知识库：\n  - `knowledge_base_search`：本地知识库检索，支持多知识库与多种检索模式\n  - `datamate_search`：对接 DataMate 知识库的检索\n  - `dify_search`：对接 Dify 知识库的检索\n- 公网搜索：\n  - `exa_search`：基于 EXA 的实时网页与图片搜索\n  - `tavily_search`：基于 Tavily 的网页与图片搜索\n  - `linkup_search`：基于 Linkup 的图文混合搜索\n\n## 🧰 使用场景示例\n\n- 查询内部文档、技术规范、行业资料（知识库、DataMate、Dify）\n- 获取最新新闻、数据或网页截图线索（Exa / Tavily / Linkup）\n- 同时返回图片参考以丰富答案（开启图片过滤后可输出图片列表）\n\n## 🧾 参数要求与行为\n\n### knowledge_base_search\n- **配置参数**：`top_k`（返回结果数量，默认 3）\n- **检索参数**：\n  - `query`：检索问题，必填。\n  - `search_mode`：`hybrid`（默认，混合召回）、`accurate`（文本模糊匹配）、`semantic`（向量语义）。\n  - `index_names`：指定要搜索的知识库名称列表（可用用户侧名称或内部索引名），可选。\n- 返回匹配片段的标题、路径/URL、来源类型、得分等。\n- 若未选择知识库，会提示\"无可用知识库\"。\n\n### datamate_search\n- **配置参数**：\n  - `server_url`：DataMate 服务地址（如 `http://192.168.1.100:8080` 或 `https://datamate.example.com:8443`）\n  - `verify_ssl`：是否验证 SSL 证书（HTTPS 默认 False，HTTP 默认 True）\n- **检索参数**：\n  - `query`：检索问题，必填。\n  - `top_k`：返回数量，默认 3。\n  - `threshold`：相似度阈值，默认 0.2。\n  - `index_names`：指定要搜索的知识库名称列表，可选。\n  - `kb_page` / `kb_page_size`：分页获取 DataMate 知识库列表。\n- 返回包含文件名、下载链接、得分等结构化结果。\n\n### dify_search\n- **配置参数**：\n  - `dify_api_base`：Dify API 基础地址\n    - 若您本地部署了Dify，则直接使用`http://host.docker.internal/v1`\n    - 若您在服务器部署了Dify，则使用`http://x.x.x.x:x/v1`并替换上合适的IP及端口\n    - 若您使用Dify官网云服务，则直接使用`https://api.dify.ai/v1`\n  - `api_key`：Dify 知识库 API 密钥，以`dataset-`开头（在 Dify 中查看知识库页面，点击左上角\"API\"页签，再点击右上角\"API 密钥\"按钮创建）\n  - `dataset_ids`：知识库 ID 列表（如 `[\"e912e1f5-29c0-40da-8baf-d35da77c60df\"]`，可在 Dify 知识库页面 URL 中查看知识库ID）\n  - `top_k`：返回结果数量，默认 3\n- **检索参数**：\n  - `query`：检索问题，必填。\n  - `search_method`：搜索方法，选项：`keyword_search`、`semantic_search`、`full_text_search`、`hybrid_search`，默认 `semantic_search`。\n- 返回匹配片段的标题、内容、得分等。\n\n### exa_search / tavily_search / linkup_search\n- **配置参数**：\n  - `exa/tavily/linkup_api_key`：对应服务的 API 密钥\n  - `max_results`：返回结果数量，默认 3\n  - `image_filter`：是否启用图片过滤，默认 True\n- **检索参数**：\n  - `query`：检索问题，必填。\n- 图片过滤：默认开启，按查询语义过滤常见无关图片；可关闭以获取全部图片 URL。\n- API Key 获取：\n  - Exa：前往 [exa.ai](https://exa.ai/) 注册并在控制台申请 EXA API Key\n  - Tavily：访问 [tavily.com](https://www.tavily.com/) 创建账户，在 Dashboard 获取 Tavily API Key\n  - Linkup：在 [linkup.so](https://www.linkup.so/) 注册并于个人中心创建 Linkup API Key\n- 返回标题、URL、摘要，可能附带图片 URL 列表（去重处理）。\n\n## 🛠️ 操作指引\n\n1. **选择数据源**：私有资料用 `knowledge_base_search`、`datamate_search` 或 `dify_search`；实时公开信息用 Exa/Tavily/Linkup。\n2. **设置检索模式/数量**：知识库可在 `search_mode` 之间切换；公网搜索可调整 `max_results` 与是否启用图片过滤。\n3. **限定范围**：需要特定知识库时填写 `index_names`，避免无关结果；DataMate 可通过阈值与 top_k 控制结果精度与数量。\n4. **结果利用**：返回为 JSON，可直接用于回答、摘要或后续引用；包含 cite 索引便于引用管理。\n\n## 🛡️ 安全与最佳实践\n\n- 公网搜索需确保 API Key 已在平台安全配置中设置，不要在对话中暴露。\n- 知识库检索前确认已同步最新文档，避免旧版本内容。\n- 当查询过于宽泛导致无结果时，可缩短或拆分问题；图片过滤未命中时可尝试关闭过滤获取原始图片列表。\n"
  },
  {
    "path": "doc/docs/zh/user-guide/local-tools/terminal-tool.md",
    "content": "# 终端工具使用手册\n\n终端工具是Nexent平台提供的一个强大的本地工具，允许智能体通过SSH连接远程服务器执行shell命令。该工具支持会话管理以在命令之间保持shell状态，使用密码认证进行安全连接，并返回命令输出结果。本手册将详细介绍如何配置和使用终端工具。\n\n## 🖥️ SSH服务器搭建\n\n终端工具支持两种SSH服务器配置方式：\n\n1. **Nexent Terminal容器**：使用Nexent提供的预配置SSH容器（推荐）\n2. **第三方SSH服务器**：在现有服务器上搭建SSH服务\n\n### 方式一：Nexent Terminal容器配置\n\nNexent提供了预配置的Terminal容器，包含完整的SSH服务器环境和必要的工具，开箱即用。\n\n#### 1. 镜像部署方式\n\nNexent Terminal容器支持两种部署方式：\n\n##### 方式A：Deploy脚本自动部署（推荐）\n\n```bash\n# 使用deploy脚本自动拉取和部署\n# 脚本会自动从Nexent Docker仓库拉取 nexent/nexent-ubuntu-terminal 镜像\n# 支持开发环境、生产环境和云服务器部署\n\n# 容器配置信息\n容器名称: nexent-openssh-server\nSSH端口: 2222\n工作目录: /opt/terminal\n```\n\n##### 方式B：本地构建镜像\n```bash\n# 本地构建Ubuntu Terminal镜像\ndocker build --progress=plain -t nexent/nexent-ubuntu-terminal -f make/terminal/Dockerfile .\n```\n\n> 📚 **详细构建说明**：参考 [Docker 构建指南](/zh/deployment/docker-build) 了解完整的镜像构建和推送流程。\n\n#### 2. Deploy脚本配置\n\n在运行部署脚本时，选择启用终端工具容器：\n\n```bash\n# 运行部署脚本\ncd docker\nbash deploy.sh\n\n# 在脚本执行过程中选择：\n# 1. 部署模式：选择开发/生产/基础设施模式\n# 2. 终端工具：选择 \"Y\" 启用终端工具容器\n# 3. 配置SSH凭据：输入用户名和密码\n# 4. 配置挂载目录：指定主机目录映射\n```\n\n#### 3. 容器特性\n\nNexent Terminal容器包含以下预装工具：\n\n- **基础工具**：curl, wget, vim, git\n- **Python环境**：Python3, pip, virtualenv, conda\n- **SSH配置**：优化的超时设置（60分钟会话）\n\n#### 4. 验证容器运行\n\n```bash\n# 检查容器状态\ndocker ps | grep nexent-openssh-server\n\n# 测试SSH连接\nssh -p 2222 root@localhost\n\n# 查看容器日志\ndocker logs nexent-openssh-server\n```\n\n\n### 方式二：第三方SSH服务器搭建\n\n如果您需要在现有服务器上搭建SSH服务，可以使用以下两种方式：\n\n#### 方式A：容器部署（推荐）\n\n**直接使用Dockerfile构建并启动容器**：\n\n##### 1. 创建Dockerfile\n```dockerfile\nFROM ubuntu:24.04\n\n# 设置环境变量避免交互\nENV DEBIAN_FRONTEND=noninteractive\n\n# 安装 openssh-server 和常用工具\nRUN apt-get update && apt-get install -y \\\n    openssh-server \\\n    sudo \\\n    vim \\\n    bash \\\n    && rm -rf /var/lib/apt/lists/*\n\n# 创建 test 用户并设置密码\nRUN useradd -ms /bin/bash test \\\n    && echo 'test:test@123' | chpasswd \\\n    && usermod -aG sudo test\n\n# 设置 root 用户密码\nRUN echo 'root:nexent@123' | chpasswd\n\n# 确保 SSH 服务目录存在\nRUN mkdir /var/run/sshd\n\n# 允许 root 用户使用密码登录\nRUN sed -i 's/#PermitRootLogin prohibit-password/PermitRootLogin yes/' /etc/ssh/sshd_config \\\n    && sed -i 's/#PasswordAuthentication yes/PasswordAuthentication yes/' /etc/ssh/sshd_config\n\n# 容器启动时运行 sshd\nCMD [\"/usr/sbin/sshd\", \"-D\"]\n```\n\n##### 2. 构建并启动容器\n```bash\n# 构建镜像\ndocker build -t nexent-terminal .\n\n# 启动容器\ndocker run -d --name nexent-terminal -p 2222:22 nexent-terminal\n```\n\n##### 3. 连接信息\n- **SSH地址**: `localhost:2222`\n- **用户名**: `test` 或 `root`\n- **密码**: `test@123` 或 `nexent@123`\n- **容器名称**: `nexent-terminal`\n\n**优势**：\n- 自定义Ubuntu 24.04环境\n- 预装常用开发工具\n- 支持多用户访问\n- 容器化隔离，安全可靠\n\n#### 方式B：服务器配置\n\n在Linux服务器上直接安装配置SSH服务：\n\n```bash\n# Ubuntu/Debian\nsudo apt update && sudo apt install openssh-server -y\nsudo systemctl start ssh && sudo systemctl enable ssh\n\n# CentOS/RHEL\nsudo yum install openssh-server -y\nsudo systemctl start sshd && sudo systemctl enable sshd\n\n# 配置SSH（编辑 /etc/ssh/sshd_config）\nsudo nano /etc/ssh/sshd_config\n# 确保以下配置：\n# PasswordAuthentication yes\n# Port 22\n# PermitRootLogin yes\n\n# 重启SSH服务\nsudo systemctl restart ssh\n```\n\n**优势**：\n- 原生性能，资源占用少\n- 完全控制SSH配置\n- 适合生产环境长期使用\n\n#### 选择建议\n\n- **开发测试**：推荐使用容器部署，快速便捷\n- **生产环境**：推荐服务器配置，性能更优\n- **临时使用**：推荐容器部署，用完即删\n\n\n## 🚀 工具功能\n\n终端工具提供以下核心功能：\n\n### 基本功能\n\n- **远程命令执行**：通过SSH连接执行shell命令\n- **会话管理**：支持多个会话，保持shell状态\n- **密码认证**：使用密码进行SSH身份验证\n- **输出清理**：自动清理命令输出中的控制字符和提示符\n\n### 输入参数\n\n- **command**：要执行的shell命令（必需）\n- **session_name**：会话名称，用于连接复用（可选，默认\"default\"）\n- **timeout**：命令超时时间，单位秒（可选，默认30）\n\n### 输出格式\n\n工具返回JSON格式的结果，包含：\n\n- **command**：执行的命令\n- **session_name**：使用的会话名称\n- **output**：命令输出结果\n- **timestamp**：执行时间戳\n- **error**：错误信息（如果执行失败）\n\n## ⚙️ 终端工具配置\n\n### 在Nexent中配置终端工具\n\n1. 登录Nexent平台\n2. 进入 **[智能体开发](../agent-development)** 页面\n3. 选择要配置的智能体\n4. 在\"选择Agent的工具\"页签中找到\"终端工具\"\n\n<div style=\"display: flex; justify-content: center;\">\n  <img src=\"./../assets/local-tools/terminal-tool.png\" style=\"width: 80%; height: auto;\" alt=\"智能体工具配置页面\" />\n</div>\n\n#### 配置SSH连接参数\n\n点击终端工具的配置按钮，填写以下参数：\n\n**基本配置**：\n- **ssh_host**：SSH服务器的IP地址或域名（Nexent容器默认为nexent-openssh-server）\n- **ssh_port**：SSH服务端口（Nexent容器默认2222，第三方服务器默认22）\n- **ssh_user**：SSH登录用户名\n- **password**：SSH登录密码\n- **init_path**：初始工作目录（默认为~）\n\n<div style=\"display: flex; justify-content: center;\">\n  <img src=\"./../assets/local-tools/terminal-tool-setting.png\" style=\"width: 80%; height: auto;\" alt=\"终端工具配置界面\" />\n</div>\n\n\n### 配置示例\n\n#### 示例1：Nexent Terminal容器配置\n\n```json\n{\n  \"ssh_host\": \"host.docker.internal\",\n  \"ssh_port\": 2222,\n  \"ssh_user\": \"root\",\n  \"password\": \"your-container-password\",\n  \"init_path\": \"/opt/terminal\"\n}\n```\n\n#### 示例2：第三方SSH服务器配置\n\n```json\n{\n  \"ssh_host\": \"192.168.1.100\",\n  \"ssh_port\": 22,\n  \"ssh_user\": \"nexent-user\",\n  \"password\": \"your-secure-password\",\n  \"init_path\": \"~\"\n}\n```\n\n\n## 🔧 常见问题\n\n### 连接问题\n\n#### Q1：SSH连接超时怎么办？\n\n**A1：** 检查以下项目：\n\n**Nexent Terminal容器**：\n\n- 容器是否正常运行\n- 端口2222是否被占用\n- 容器日志是否有错误信息\n\n```bash\n# 检查容器状态\ndocker ps | grep nexent-openssh-server\n\n# 检查端口占用\nnetstat -tlnp | grep :2222\n\n# 查看容器日志\ndocker logs nexent-openssh-server\n\n# 测试容器SSH连接\nssh -p 2222 root@localhost\n```\n\n**第三方SSH服务器**：\n\n- 网络连接是否正常\n- 服务器SSH服务是否运行\n- 防火墙是否阻止连接\n- SSH端口是否正确\n\n```bash\n# 检查SSH服务状态\nsudo systemctl status ssh\n\n# 检查端口监听\nsudo netstat -tlnp | grep :22\n\n# 测试网络连通性\nping your-server-ip\ntelnet your-server-ip 22\n```\n\n#### Q2：认证失败怎么解决？\n\n**A2：** 检查密码认证：\n- **用户名**：确认用户名正确\n- **密码**：确认密码正确，注意大小写\n- **服务器状态**：确认SSH服务正常运行\n\n```bash\n# 测试SSH连接\nssh -v username@server-ip\n\n# 检查SSH服务状态\nsudo systemctl status ssh\n```\n\n### 权限问题\n\n#### Q3：命令执行权限不足怎么办？\n\n**A3：** 检查用户权限：\n- 确认用户有执行命令的权限\n- 检查sudo配置\n- 验证文件系统权限\n\n```bash\n# 检查用户组\ngroups username\n\n# 检查sudo权限\nsudo -l\n\n# 检查文件权限\nls -la /path/to/command\n```\n\n### 性能问题\n\n#### Q4：命令执行很慢怎么办？\n\n**A4：** 优化建议：\n- 检查服务器性能\n- 调整超时设置\n- 优化命令执行方式\n\n```bash\n# 检查系统负载\ntop\nhtop\n\n# 检查磁盘使用\ndf -h\niostat -x 1\n```\n\n### 安全问题\n\n#### Q5：Nexent Terminal容器无法启动怎么办？\n\n**A5：** 检查以下项目：\n\n```bash\n# 检查Docker服务状态\nsudo systemctl status docker\n\n# 检查容器配置\ndocker-compose config\n\n# 查看详细错误日志\ndocker-compose logs nexent-openssh-server\n\n# 重新启动容器\ndocker-compose restart nexent-openssh-server\n\n# 检查环境变量配置\ncat .env | grep -E \"(SSH_USERNAME|SSH_PASSWORD|TERMINAL_MOUNT_DIR)\"\n```\n\n**常见解决方案**：\n- 确保Docker服务正常运行\n- 检查端口2222是否被其他服务占用\n- 验证环境变量配置是否正确\n- 检查挂载目录权限\n\n#### Q6：如何提高SSH安全性？\n\n**A6：** 安全加固措施：\n\n**Nexent Terminal容器**：\n- 定期更新容器镜像\n- 限制挂载目录的访问权限\n- 监控容器资源使用情况\n- 定期备份重要数据\n\n**第三方SSH服务器**：\n- 使用强密码\n- 修改默认SSH端口\n- 配置IP白名单\n- 启用fail2ban防护\n\n```bash\n# 安装fail2ban\nsudo apt install fail2ban -y\n\n# 配置fail2ban\nsudo nano /etc/fail2ban/jail.local\n\n# 添加SSH保护配置\n[sshd]\nenabled = true\nport = ssh\nfilter = sshd\nlogpath = /var/log/auth.log\nmaxretry = 3\nbantime = 3600\n```\n\n如果您使用过程中遇到任何问题，请在[GitHub Discussions](https://github.com/ModelEngine-Group/nexent/discussions)中进行提问获取支持。\n"
  },
  {
    "path": "doc/docs/zh/user-guide/mcp-tools.md",
    "content": "# MCP 工具\n\n即将推出的 MCP 工具管理模块将让您在一个页面集中管理 MCP 服务器与工具，轻松完成连接配置、工具同步和健康状态监控\n\n## 🎯 功能预览\n\n1. 注册并管理多个 MCP 服务器\n2. 快速同步、查看并整理 MCP 工具列表\n3. 实时监控 MCP 连接状态和使用情况\n\n## ⏳ 敬请期待\n\nMCP 工具管理功能正在开发中，我们致力于打造一个高效、直观的管理平台，让您能够：\n\n1. 集中管理所有 MCP 服务器\n2. 便捷同步和组织工具\n3. 实时掌握服务器连接与工具运行状态\n\n## 🚀 相关功能\n\n在等待 **MCP 工具** 上线期间，您可以：\n\n1. 在 **[智能体开发](./agent-development)** 中管理您的 MCP 工具\n2. 通过 **[智能体空间](./agent-market)** 查看智能体与 MCP 的协作关系\n3. 在 **[开始问答](./start-chat)** 中体验平台功能\n\n如果您在使用过程中遇到任何问题，请参考我们的 **[常见问题](../quick-start/faq)** 或在[GitHub Discussions](https://github.com/ModelEngine-Group/nexent/discussions)中进行提问获取支持。"
  },
  {
    "path": "doc/docs/zh/user-guide/memory-management.md",
    "content": "# 记忆管理\n\nNexent的智能记忆系统为智能体提供持久化的上下文感知能力，通过多层级记忆管理机制，实现跨对话会话的知识累积与检索，显著提升人机交互的连贯性和个性化程度。\n\n## 🎯 什么是智能记忆系统\n\n智能记忆系统让智能体能够\"记住\"重要信息，并在后续对话中自动使用这些记忆，为您提供更连贯、更个性化的服务体验。\n\n### 核心优势\n\n- **跨对话记忆**：智能体可以记住之前对话中的重要信息\n- **自动检索**：智能体会自动检索相关记忆，无需您重复说明\n- **个性化服务**：根据您的偏好和习惯提供个性化服务\n- **知识积累**：智能体的知识会随着使用不断积累和优化\n\n## ⚙️ 系统配置\n\n### 访问记忆管理\n\n1. 在左侧导航栏中点击\"记忆管理\"\n2. 进入记忆管理页面进行配置\n\n### 基础配置\n\n在记忆管理页面的\"系统配置\"模块中，您可以进行以下设置：\n\n| 配置项 | 选项 | 默认值 | 说明 |\n|--------|------|--------|------|\n| 记忆服务状态 | 启用/禁用 | 启用 | 控制整个记忆系统的运行状态 |\n| Agent 记忆共享策略 | 总是共享/每次询问我/禁止共享 | 总是共享 | 定义Agent间共享记忆生成是否需要用户授权同意 |\n\n<div style=\"display: flex; justify-content: left;\">\n  <img src=\"./assets/memory-management/mem-config.png\" style=\"width: 80%; height: auto;\" alt=\"记忆系统配置\" />\n</div>\n\n### 配置说明\n\n- **记忆服务状态**：启用后，智能体将能够使用记忆功能；禁用后，所有记忆功能将暂停。\n- **Agent 记忆共享策略**：\n  - **总是共享**：智能体之间自动共享记忆，无需确认\n  - **每次询问我**：智能体间共享记忆前会询问您的意见\n  - **禁止共享**：智能体之间不共享记忆，保持独立\n\n## 📚 记忆层级\n\nNexent采用四层记忆存储架构，不同层级的记忆有不同的作用域和用途：\n\n### 租户级记忆\n\n- **作用域**：组织全局，所有用户和智能体共享\n- **存储内容**：企业级标准操作流程、合规政策、组织架构、事实信息\n- **适用场景**：企业知识管理、标准化流程执行、合规性检查\n- **管理权限**：租户管理员\n\n### 智能体级记忆\n\n- **作用域**：特定智能体，该智能体的所有用户共享\n- **存储内容**：专业领域知识、技能模板、历史对话摘要、学习积累\n- **适用场景**：专业技能积累、领域知识沉淀、经验学习\n- **管理权限**：租户管理员\n\n### 用户级记忆\n\n- **作用域**：特定用户账户，仅该用户可见\n- **存储内容**：个人偏好设置、使用习惯、常用指令模板、个人信息\n- **适用场景**：个性化服务、用户体验优化、偏好管理\n- **管理权限**：用户自己\n\n### 用户-智能体级记忆\n\n- **作用域**：特定用户账户下的特定智能体，最私密和个性化\n- **存储内容**：协作历史、个性化事实信息、特定任务上下文、关系模型\n- **适用场景**：深度协作场景、个性化调优、任务连续性维护\n- **管理权限**：用户自己\n\n### 记忆优先级\n\n当智能体需要检索记忆时，会按照以下优先级顺序（由高到低）：\n\n1. **租户级** → 基础事实和通用知识\n2. **用户-智能体级** → 最具体的上下文信息\n3. **用户级** → 个人偏好和习惯\n4. **智能体级** → 专业知识和技能\n\n## 🤖 自动化记忆管理\n\n智能记忆系统支持自动化管理，让您无需手动操作即可享受记忆功能：\n\n### 智能提取\n\n- 系统会自动识别对话中的关键事实信息\n- 自动生成记忆条目并存储到合适的层级\n- 无需您手动添加，系统会智能判断重要性\n\n### 自动上下文嵌入\n\n- 智能体会自动检索相关性最高的记忆条目\n- 将记忆隐式嵌入到对话上下文中\n- 让智能体能够基于历史记忆提供更准确的回答\n\n### 增量更新\n\n- 支持记忆内容的渐进式更新和补充\n- 自动清理过时或不再相关的记忆条目\n- 保持记忆库的时效性和准确性\n\n## ✋ 手动记忆操作\n\n除了自动化管理，您也可以手动管理记忆，确保重要信息被正确记录：\n\n### 添加记忆\n\n1. 在记忆管理页面，选择要添加记忆的层级和智能体\n2. 点击绿色的\"对话加号\"按钮\n3. 输入要记录的内容（最多500字符）\n4. 点击对钩确认添加\n\n<div style=\"display: flex; justify-content: left;\">\n  <img src=\"./assets/memory-management/add-mem.png\" style=\"width: 80%; height: auto;\" alt=\"添加记忆\" />\n</div>\n\n### 删除记忆\n\n您可以通过以下方式删除记忆：\n\n- **删除分组记忆**：点击红色叉号按钮，在确认弹框中点击确认，可删除某个智能体分组下所有的记忆条目\n- **删除单条记忆**：点击红色橡皮按钮，可删除特定的一条记忆条目\n\n<div style=\"display: flex; justify-content: left;\">\n  <img src=\"./assets/memory-management/delete-mem.png\" style=\"width: 80%; height: auto;\" alt=\"删除记忆\" />\n</div>\n\n## 💡 使用建议\n\n### 记忆内容原则\n\n1. **原子性原则**：每条记忆应包含**简洁**、**单一**、**明确**的事实信息\n   - ✅ 好：用户喜欢使用深色主题\n   - ❌ 不好：用户喜欢使用深色主题，并且经常在晚上工作，还喜欢喝咖啡\n\n2. **时效性管理**：定期清理过时或不再相关的记忆条目，保持记忆库的时效性和准确性\n\n3. **隐私保护**：敏感信息应尽量避免在租户层级或智能体层级进行共享，建议使用用户级或用户-智能体级记忆\n\n### 最佳实践\n\n- **合理选择层级**：根据信息的共享需求选择合适的记忆层级\n- **定期检查**：定期查看和清理记忆，确保信息的准确性\n- **利用自动化**：让系统自动管理常规记忆，手动管理重要信息\n- **保护隐私**：个人敏感信息使用用户级记忆，避免共享\n\n## 🚀 下一步\n\n配置好记忆管理后，您可以：\n\n1. 在 **[开始问答](./start-chat)** 中体验智能体的记忆能力\n2. 在 **[智能体空间](./agent-space)** 中管理您的智能体\n3. 继续 **[智能体开发](./agent-development)** 创建更多智能体\n\n如果您在使用过程中遇到任何问题，请参考我们的 **[常见问题](../quick-start/faq)** 或在[GitHub Discussions](https://github.com/ModelEngine-Group/nexent/discussions)中进行提问获取支持。\n"
  },
  {
    "path": "doc/docs/zh/user-guide/model-management.md",
    "content": "# 模型管理\n\n在模型管理模块中，您可以配置应用的基本信息，并接入各类AI模型，包括大语言模型、向量化模型和视觉语言模型。Nexent支持多种模型提供商，帮助您根据实际需求灵活选择最适合的模型。\n\n## 🖼️ 应用配置\n\n应用配置是模型管理的第一步，您可以配置应用的基本信息，包括应用图标、名称和描述。合理配置有助于提升应用的辨识度和用户体验。\n\n- 应用图标和名称会展示在对话页面的左上角，帮助用户快速识别当前应用。\n- 应用的描述在生成智能体时会作为背景信息提供给模型，提升模型对应用场景的理解。\n\n### 应用图标配置\n\n点击应用图标可进行图标的配置。Nexent 提供了两种图标配置方式：\n\n- **使用预设图标**：从预设的图标库中选择，可选择图像及背景颜色，适合快速配置。\n- **上传自定义图片**：支持PNG、JPG图片格式，文件大小不超过2MB。\n\n<div style=\"display: flex; gap: 8px;\">\n  <img src=\"./assets/model-management/predefined-app-icon-setting.png\" style=\"width: 50%; height: 100%;\" />\n  <img src=\"./assets/model-management/customized-app-icon-setting.png\" style=\"width: 50%; height: 80%;\" />\n</div>\n\n### 应用名称及描述配置\n\n#### 应用名称\n\n- 应用名称会展示在对话页面的左上角，帮助用户快速识别当前应用。\n- 建议使用简洁明了、能体现应用功能的名称，避免使用特殊字符。\n\n#### 应用描述\n\n- 应用描述会作为背景信息提供给模型，帮助理解应用场景。\n- 建议突出应用核心功能，完整流畅且简洁明了。\n\n<div style=\"display: flex; justify-content: left;\">\n  <img src=\"./assets/model-management/app-name-description-setting.png\" style=\"width: 50%; height: auto;\" />\n</div>\n\n## 🤖 模型配置\n\n### 🔄 同步ModelEngine模型\n\nNexent支持与ModelEngine平台的无缝对接\n\n👉 点击页面右上方 ***\\*****ModelEngine配置*****\\***，输入您的 API ，即可获取您在 ModelEgnine 上部署的所有模型\n\n### 🛠️ 添加自定义模型\n\n#### 添加单个模型\n\n1. **添加自定义模型**\n   - 点击\"添加自定义模型\"按钮，进入添加模型弹窗。\n2. **选择模型类型**\n   - 点击模型类型下拉框，选择要添加的模型类型（大语言模型/向量化模型/视觉语言模型）。\n3. **配置模型参数**\n   - **模型名称（必填）**：输入请求体中的模型名称。\n   - **展示名称**：可为模型设置一个展示名称，默认与模型名称相同。\n   - **模型URL（必填）**：输入模型提供商的API端点。\n   - **API Key**：输入您的API密钥。\n\n> ⚠️ **注意事项**：\n> 1. 模型名称通过模型提供商获取，通常格式为`模型系列/模型名字`。以模型系列是`Qwen`，模型名字是`Qwen3-8B`为例，模型名称为`Qwen/Qwen3-8B`。\n> 2. 模型URL通过模型提供商的API文档获取。以模型提供商是硅基流动为例，大语言模型URL为`https://api.siliconflow.cn/v1` ，向量模型URL为`https://api.siliconflow.cn/v1/embeddings` ，视觉语言模型URL为`https://api.siliconflow.cn/v1` 。\n> 3. API Key通过模型提供商的API Key密钥管理页面创建并获取API Key。\n\n4. **连通性验证**\n   - 点击\"连通性验证\"按钮，系统会发送测试请求并返回验证结果。\n5. **保存模型**\n   - 配置完成后，点击\"确定\"按钮，模型将被添加到可用模型列表中。\n\n<div style=\"display: flex; justify-content: left;\">\n  <img src=\"./assets/model-management/add-model.png\" style=\"width: 50%; height: auto;\" />\n</div>\n\n#### 批量添加模型\n\n为了提升模型导入效率，Nexent提供了批量模型导入功能。\n\n1. **批量添加模型**\n   - 在添加模型弹窗中，打开批量添加模型开关。\n2. **选择模型提供商**\n   - 点击模型提供商下拉框，选择模型提供商。\n3. **选择模型类型**\n   - 点击模型类型下拉框，选择要添加的模型类型（大语言模型/向量化模型/视觉语言模型）。\n4. **输入API Key（必填）**\n   - 输入您的API密钥。\n5. **获取模型**\n   - 点击\"获取模型\"按钮，批量获取模型列表。\n6. **选择模型**\n   - 获取到的模型默认是未启用的，您需要手动点击开关启用所需的模型。\n7. **保存模型**\n   - 配置完成后，点击\"确定\"按钮，所有选中的模型将被添加到可用模型列表中。\n\n<div style=\"display: flex; justify-content: left;\">\n  <img src=\"./assets/model-management/add-model-batch.png\" style=\"width: 50%; height: auto;\" />\n</div>\n\n### 🔧 修改自定义模型\n\n当您需要修改模型配置或删除不再使用的模型时，可以通过以下步骤进行操作：\n\n1. 点击\"修改自定义模型\"按钮。\n2. 选择要修改或删除的模型类型（大语言模型/向量化模型/视觉语言模型）。\n3. 选择是批量修改模型，还是修改单个自定义模型。\n4. 如果批量修改模型，可以通过启动或关闭模型开关来添加或删除模型。您也可以通过点击右上角的\"修改配置\"按钮，对选中的模型进行批量配置修改。\n5. 如果是修改单个自定义模型，点击删除按钮 🗑️ 即可删除目标模型；想要修改相关配置，点击模型名称即可弹出修改弹窗进行修改。\n\n<div style=\"display: flex; gap: 8px;\">\n  <img src=\"./assets/model-management/edit-model-1.png\" style=\"width: 50%; height: 100%;\" />\n  <img src=\"./assets/model-management/edit-model-2.png\" style=\"width: 50%; height: 80%;\" />\n</div>\n<br>\n<div style=\"display: flex; gap: 8px;\">\n  <img src=\"./assets/model-management/edit-model-3.png\" style=\"width: 50%; height: 100%;\" />\n  <img src=\"./assets/model-management/edit-model-4.png\" style=\"width: 50%; height: 80%;\" />\n</div>\n<br>\n<div style=\"display: flex; gap: 8px;\">\n  <img src=\"./assets/model-management/edit-model-5.png\" style=\"width: 50%; height: 100%;\" />\n  <img src=\"./assets/model-management/edit-model-6.png\" style=\"width: 50%; height: 80%;\" />\n</div>\n\n### ⚙️ 配置系统模型\n\n添加模型后，您需要配置系统基础模型，该模型将用于标题生成、实时文件读取等基础功能。在智能体运行时，您可以为每个智能体指定特定的运行模型。\n\n#### 基础模型配置\n\n系统基础模型用于处理平台的核心功能，包括：\n\n- 标题生成\n- 实时文件读取\n- 基础文本处理\n\n**配置步骤**：\n\n- 点击基础模型下拉框，从已添加的大语言模型中选择一个作为系统基础模型。\n\n#### 向量模型\n\n向量模型主要用于知识库的文本、图片等数据的向量化处理，是实现高效检索和语义理解的基础。配置合适的向量模型，可以显著提升知识库的搜索准确率和多模态数据的处理能力。\n\n- 点击向量模型下拉框，从已添加的向量模型中选择一个。\n- 向量模型配置会影响知识库的稳定运行\n\n根据模型能力选择合适的文档切片大小和单次请求切片量。切片越小，系统越稳定，但文件解析质量也会受到影响。\n\n<div style=\"display: flex; gap: 8px;\">\n  <img src=\"./assets/model-management/vector-model.png\" style=\"width: 50%; height: 50%;\" />\n</div>\n\n\n\n#### 多模态模型\n\n多模态模型结合了视觉和语言能力，能够处理包含文本、图片等多种信息的复杂场景。例如，在对话页面上传图片文件时，系统会自动调用多模态模型进行内容解析和智能对话。\n\n- 点击视觉语言模型下拉框，从已添加的视觉语言模型中选择一个。\n\n<div style=\"display: flex; gap: 8px;\">\n  <img src=\"./assets/model-management/select-model-1.png\" style=\"width: 30%; height: 100%;\" />\n  <img src=\"./assets/model-management/select-model-2.png\" style=\"width: 30%; height: 100%;\" />\n  <img src=\"./assets/model-management/select-model-3.png\" style=\"width: 30%; height: 100%;\" />\n</div>\n\n### ✅ 检查模型连通性\n\n定期检查模型连通性是确保系统稳定运行的重要环节。通过连通性检查功能，您可以及时发现和解决模型连接问题，保证服务的连续性和可靠性。\n\n**检查流程**：\n\n- 点击\"检查模型连通性\"按钮\n- 系统将自动测试所有已配置的系统模型的连接状态\n\n**状态指示**：\n\n- 🔵 **蓝色圆点**：表示正在检测中，请耐心等待\n- 🔴 **红色圆点**：表示连接失败，需要检查配置或网络状态\n- 🟢 **绿色圆点**：表示连接正常，模型可以正常使用\n\n**故障排查建议**：\n\n- 检查网络连接是否稳定\n- 验证API密钥是否有效且未过期\n- 确认模型服务商的服务状态\n- 检查防火墙和安全策略设置\n\n### 🤖 支持的模型提供商\n\n#### 🤖 大语言模型LLM\n\nNexent 支持任何 **遵循OpenAI API规范** 的大语言模型供应商，包括：\n\n- [硅基流动](https://siliconflow.cn/)\n- [阿里云百炼](https://bailian.console.aliyun.com/)\n- [小马算力](https://www.tokenpony.cn/)\n- [Deepseek](https://platform.deepseek.com/)\n- [OpenAI](https://platform.openai.com/)\n- [Anthropic](https://console.anthropic.com/)\n- [月之暗面](https://platform.moonshot.cn/)\n\n可参考以下步骤进行模型接入：\n\n1. 访问模型供应商官网，注册账户；\n2. 创建并复制API Key；\n3. 在文档中查看API端点（即模型URL，一般以`/v1`为结尾）；\n4. 在Nexent模型配置页面点击添加自定义模型，填入必备信息，即可接入。\n\n#### 🎭 多模态视觉模型\n\n使用与大语言模型相同的API Key和模型URL，但指定多模态模型名称，如硅基流动提供的**Qwen/Qwen2.5-VL-32B-Instruct**。\n\n#### 🔤 向量模型\n\n使用与大语言模型相同的API Key，但模型URL一般会有所差异，一般以`/v1/embeddings`为结尾，同时指定向量模型名称，如硅基流动提供的**BAAI/bge-m3**。\n\n#### 🎤 语音模型\n\n目前仅支持火山引擎语音，且需要在`.env`中进行配置\n\n- **网站**: [volcengine.com/product/voice-tech](https://www.volcengine.com/product/voice-tech)\n- **免费额度**: 个人使用可用\n- **特色**: 高质量中英文语音合成\n\n**开始使用**:\n\n1. 注册火山引擎账户\n2. 访问语音技术服务\n3. 创建应用并获取 API Key\n4. 在环境中配置 TTS/STT 设置\n\n## 💡 需要帮助\n\n如果您在模型提供商方面遇到问题：\n\n1. 查看提供商特定文档\n2. 验证 API 密钥权限和配额\n3. 使用提供商官方示例进行测试\n4. 加入我们的 [Discord 社区](https://discord.gg/tb5H3S3wyv) 获取支持\n\n## 🚀 下一步\n\n完成模型管理配置后，建议您继续配置：\n\n1. **[知识库](./knowledge-base)** - 创建和管理知识库。\n2. **[智能体开发](./agent-development)** - 创建和配置智能体。\n\n如果您在使用过程中遇到任何问题，请参考我们的 **[常见问题](../quick-start/faq)** 或在[GitHub Discussions](https://github.com/ModelEngine-Group/nexent/discussions)中进行提问获取支持。\n"
  },
  {
    "path": "doc/docs/zh/user-guide/monitor.md",
    "content": "# 监控与运维\n\n即将推出的监控与运维中心将为智能体提供统一的管理平台，让您实时跟踪健康状态、性能指标与异常事件\n\n## 🎯 功能预览\n\n1. 实时监控智能体健康状态、延迟与错误率\n2. 查看并筛选运行日志和历史任务\n3. 配置告警策略与关键事件的运维操作\n\n## ⏳ 敬请期待\n\n监控与运维中心正在开发中，我们致力于打造一个直观、高效的管理平台，帮助您：\n\n1. 全面掌握智能体运行状况\n2. 快速发现并处理异常\n3. 灵活配置告警与运维操作\n\n\n如果您在使用过程中遇到任何问题，请参考我们的 **[常见问题](../quick-start/faq)** 或在[GitHub Discussions](https://github.com/ModelEngine-Group/nexent/discussions)中进行提问获取支持。\n"
  },
  {
    "path": "doc/docs/zh/user-guide/quick-setup.md",
    "content": "# 快速配置\n\n快速配置功能为您提供了一条便捷的配置路径，按照推荐的顺序引导您完成系统的基础配置。快速配置包含三个主要步骤：模型管理、知识库配置和智能体开发。\n\n## 📋 配置流程\n\n快速配置按照以下顺序组织，帮助您快速完成系统设置：\n\n### 第一步：模型管理\n\n配置应用基本信息和接入AI模型：\n\n- **应用配置**：设置应用图标、名称和描述\n- **模型配置**：接入大语言模型、向量化模型和视觉语言模型\n\n详细内容请参考：[模型管理](./model-management)\n\n### 第二步：知识库配置\n\n创建知识库并上传文档：\n\n- **创建知识库**：为智能体准备知识来源\n- **上传文件**：支持多种文件格式\n- **生成总结**：为知识库生成内容总结\n\n详细内容请参考：[知识库](./knowledge-base)\n\n### 第三步：智能体开发\n\n创建和配置智能体：\n\n- **创建智能体**：创建新的智能体或导入已有智能体\n- **配置能力**：设置协作智能体和工具\n- **描述业务逻辑**：定义智能体的工作方式\n\n发布智能体：\n\n- **发布智能体**：已发布的智能体将在选中的用户组内可见，并列于智能体空间与开始问答选择框中\n- **版本管理**：跟踪智能体的迭代历史，支持查看、回滚至历史版本及创建新版本\n\n详细内容请参考：[智能体开发](./agent-development)\n\n## 🎯 使用建议\n\n1. **按顺序配置**：建议按照快速配置的顺序进行，确保每个步骤都正确完成\n2. **保存配置**：每个步骤完成后记得保存配置\n3. **启用知识库**：若要启用本地知识检索能力，需在智能体配置中选中knowledge_base_search工具\n4. **测试验证**：配置完成后，建议在对话页面测试智能体的功能\n\n## 🚀 下一步\n\n完成快速配置后，您可以：\n\n1. 进入 **[智能体空间](./agent-space)** 查看和管理所有智能体\n2. 在 **[开始问答](./start-chat)** 中与智能体进行交互\n3. 配置 **[记忆管理](./memory-management)** 以提升智能体的记忆能力\n\n如果您在使用过程中遇到任何问题，请参考我们的 **[常见问题](../quick-start/faq)** 或在[GitHub Discussions](https://github.com/ModelEngine-Group/nexent/discussions)中进行提问获取支持。\n"
  },
  {
    "path": "doc/docs/zh/user-guide/start-chat.md",
    "content": "# 开始问答\n\n开始问答页面是您与智能体进行交互的核心界面。在这里，您可以与不同的智能体进行对话，上传文件，使用语音输入，并管理您的对话历史。\n\n## 🤖 开始问答\n\n### 选择智能体\n\n在开始对话之前，您需要先选择一个智能体。\n\n1. **查看可用智能体**\n   - 已发布的智能体可用于对话\n   - 在对话框左下角找到智能体选择下拉框\n   - 点击下拉框查看所有可用的智能体列表\n   - 每个智能体都会显示名称和功能描述\n\n2. **切换智能体**\n   - 从列表中选择您想要对话的智能体\n   - 系统会自动切换到您选中的智能体\n   - 切换后即可开始新的对话\n\n<div style=\"display: flex; justify-content: center;\">\n  <img src=\"./assets/start-chat/agent-selection.png\" style=\"width: 80%; height: auto;\" alt=\"选择智能体\" />\n</div>\n\n### 发送文本消息\n\n选择好智能体后，您可以通过以下方式发送文本消息：\n\n1. **输入您的问题**\n   - 在对话框底部的输入框中输入您的问题或指令\n   - Shift+Enter键可换行\n\n2. **发送消息**\n   - 点击输入框右侧的发送按钮\n   - 或者直接按键盘上的Enter键发送消息\n   - 智能体会开始处理您的请求并生成回复\n\n3. **查看回复**\n   - 智能体的回复会实时显示在对话区域\n   - 思考过程会以卡片形式展示，便于区分\n\n<div style=\"display: flex; justify-content: center;\">\n  <img src=\"./assets/start-chat/dialog-box.png\" style=\"width: 80%; height: auto;\" alt=\"选择智能体\" />\n</div>\n\n### 使用语音输入\n\nNexent支持语音输入功能，让您可以通过语音与智能体交互。前提是您已经配置了语音模型，配置教程可参考[模型管理](./model-management)。\n\n1. **启用语音输入**\n   - 在输入框右下角找到麦克风图标\n   - 点击麦克风图标启用语音输入功能\n   - 首次使用时会请求麦克风权限，请点击“允许”授权\n\n2. **开始语音识别**\n   - 授权后，麦克风图标会变为录音状态\n   - 清晰地说出您的问题或指令\n   - 系统会实时将您的语音转换为文字显示在输入框中\n\n3. **完成语音输入**\n   - 语音识别完成后，系统会自动发送消息\n   - 您也可以在发送前手动编辑识别结果\n   - 支持中文和英文语音识别\n\n> 💡 **小贴士**：为了获得更好的语音识别效果，请确保在安静的环境中使用，并清晰地发音。\n\n### 上传多模态文件进行对话\n\n您可以在对话中上传文件，让智能体基于文件内容为您提供帮助：\n\n> ⚠️ **注意事项**：\n> 1. 多模态文件对话功能，需在智能体开发时，选择对应的多模态解析工具 \n>    1. 文档类、文本类文件需选择 `analyze_text_file` 工具\n>    2. 工具、图片类文件需选择 `analyze_image` 工具\n> 2. 上传的文件大小有限制，建议单个文件不超过10MB。对于大型文档，建议分批上传\n\n1. **选择文件上传方式**\n   - 点击输入框右下角的文件上传按钮\n   - 或直接将文件拖拽到对话区域\n\n2. **支持的文件格式**\n   - **文档类**：PDF、Word (.docx)、PowerPoint (.pptx)、Excel (.xlsx)\n   - **文本类**：Markdown (.md)、纯文本 (.txt)\n   - **图片类**：JPG、PNG、GIF 等常见图片格式\n\n3. **文件处理流程**\n   - 系统会将您上传的文件存储至MinIO中，并返回S3 URL\n   - 构建文件元信息并添加到当前对话的上下文中\n   - 智能体会基于文件元信息回答您的问题\n\n4. **基于文件的对话**\n   - 上传文件后，您可以询问关于文件内容的问题\n   - 智能体可以调用对应的多模态工具，分析、总结或处理文件中的信息\n   - 支持多文件同时上传和处理\n\n## 📚 管理您的对话历史\n\n左侧边栏提供了完整的对话历史管理功能：\n\n### 创建新对话\n\n- 点击左上角的“新对话”按钮开始全新的对话\n- 新对话会默认使用当前选中的智能体，您也可以修改\n\n### 查看对话列表\n\n- **对话标题**：系统会根据对话内容自动生成标题，您可以随时修改\n- **时间排序**：对话按时间顺序排列，显示“今天”和“最近七天”的历史记录\n- **继续对话**：点击任意历史对话即可查看详细内容并继续之前的对话\n\n### 管理对话记录\n\n1. **编辑对话**\n   - 将鼠标悬停在对话标题上\n   - 右侧会出现“...”按钮，点击可进行编辑操作\n\n2. **重命名对话**\n   - 点击“重命名”可以修改对话标题\n   - 输入新的标题后按Enter确认\n\n3. **删除对话**\n   - 在编辑模式下可以删除不需要的对话\n   - 删除操作不可恢复，请谨慎操作\n\n> 💡 **小贴士**：定期清理不需要的对话记录可以保持界面整洁，提高查找效率。\n\n<div style=\"display: flex; justify-content: space-between;\">\n  <img src=\"./assets/start-chat/chat-management-1.png\" style=\"width: 48%; height: auto;\" alt=\"对话编辑\" />\n  <img src=\"./assets/start-chat/chat-management-2.png\" style=\"width: 48%; height: auto;\" alt=\"对话编辑\" />\n</div>\n\n### 访问其他功能\n\n你可通过左侧导航栏可以快速访问其他功能模块\n- **智能体空间**：管理所有已开发的智能体\n- **智能体开发**：创建和配置新的智能体\n- **模型管理**：配置AI模型和应用信息\n- **知识库**：管理知识库和文档\n- **记忆管理**：配置和管理智能记忆系统\n\n## 🔍 查看知识引用来源\n\n右侧边栏提供了“来源”和“图片”两个标签页，帮助您了解智能体回答的信息来源：\n\n### 来源标签页\n\n显示智能体回答所引用的知识来源：\n\n- **本地知识库检索**\n  - 显示文本块标题和来源文件名\n  - 点击“展开”按钮可查看完整的文本块内容\n  - 帮助您了解智能体从本地知识库中获取的信息\n\n- **网络检索结果**\n  - 显示网页标题和来源网址\n  - 点击“展开”可查看引用的详细内容\n  - 点击网页标题可直接跳转到原始网页\n\n💡 **小贴士**：\n1. 智能体开发时，请选择 `knowledge_base_search` 工具，启用本地知识库检索功能。\n2. 智能体开发时，请选择 `exa_search`、 `tavily_search`、 `linkup_search` 工具，启用网络检索功能。\n\n### 图片标签页\n\n- 展示从网络检索中获取的相关图片\n- 点击任意图片可进行预览\n- 帮助您更直观地了解相关信息\n\n<div style=\"display: flex; justify-content: space-between;\">\n  <img src=\"./assets/start-chat/reference-source.png\" style=\"width: 48%; height: auto;\" alt=\"知识引用来源\" />\n  <img src=\"./assets/start-chat/reference-image.png\" style=\"width: 48%; height: auto;\" alt=\"知识引用图片\" />\n</div>\n\n## 🎭 多模态交互体验\n\n### 图像处理功能\n\nNexent支持图像输入和处理（需要配置视觉模型、图片解析工具`analyze_image`）：\n\n1. **上传图像**\n   - 直接将图像文件拖拽到对话区域\n   - 或点击上传按钮选择图像文件\n   - 支持常见的图片格式（JPG、PNG、GIF等）\n\n2. **图像分析能力**\n   - 智能体会调用图片解析工具，自动分析图像内容\n   - 可以识别图像中的物体、文字、场景等元素\n   - 基于图像内容回答您的问题\n\n> 💡 **提示**：Nexent 即将支持更加丰富的多模态交互模式，包括视频处理、音频分析等功能，敬请期待！\n\n## ⚙️ 后台运行模式\n\n### 多任务处理功能\n\nNexent支持后台运行模式，让您在处理复杂任务时更加高效：\n\n1. **多任务并行**\n   - 在对话进行过程中，您可以切换到其他窗口或应用程序\n   - 智能体会在后台继续处理您的任务\n   - 不会因为切换窗口而中断处理\n\n2. **实时状态监控**\n   - 在左侧对话列表中，每个对话前都有状态指示器\n   - 🟢 **绿色圆点**：表示对话正在进行中\n   - 🔵 **蓝色圆点**：表示对话已执行完毕\n   - 您可以随时点击对话查看处理进展\n\n3. **提升工作效率**\n   - 后台运行模式大大提升了您的工作效率\n   - 可以在等待智能体处理的同时进行其他工作\n   - 特别适合处理需要长时间分析或生成的任务\n\n## 🚀 开始您的 Nexent 之旅\n\n恭喜！现在您已经掌握了Nexent的所有核心功能。期待您使用Nexent创造出令人惊艳的应用！\n\n\n### 获取帮助\n\n如果您在使用过程中遇到任何问题：\n\n- 📖 查看 **[常见问题](../quick-start/faq)** 获取详细解答\n- 💬 加入我们的 [Discord 社区](https://discord.gg/tb5H3S3wyv) 与其他用户交流\n- 🆘 联系技术支持获取专业帮助"
  },
  {
    "path": "doc/docs/zh/user-guide/user-management.md",
    "content": "# 用户管理\n\n本页面详细说明 Nexent 平台的用户角色体系、数据可见性范围、各类资源的操作权限，并分享权限配置的实践案例。\n\n⚠️ **重要提示**：首次部署 v1.8.0 及以上版本时，需特别留意 Docker 日志中输出的 `suadmin` 超级管理员账号信息。该账号为系统最高权限账户，密码仅在首次生成时显示，后续无法再次查看，请务必妥善保存。\n\n## 📋 页面导航\n\n- [一、角色体系](#一角色体系) - 四种核心角色的定义与职责\n- [二、页签访问权限](#二页签访问权限) - 各角色可访问的系统页面\n- [三、资源权限对照表](#三资源权限对照表) - 详细的各种资源操作权限\n- [四、权限配置](#四权限配置) - 智能体与知识库的权限管理\n- [五、邀请码机制](#五邀请码机制) - 用户注册与邀请流程\n- [六、实践案例](#六实践案例) - 权限配置的建议\n\n## 一、角色体系\n\nNexent 采用基于角色的访问控制（RBAC）模型，通过租户与用户组的概念划分用户范围：\n\n### 1.1 什么是租户？\n\n- **租户**是 Nexent 平台中最上层的资源隔离单位，可以理解为一个独立的工作空间或组织单元\n\n- 不同租户之间，数据完全隔离、互不可见，每个租户内可独立创建智能体、知识库、模型、MCP等\n\n- 仅超级管理员可跨租户权限管理，邀请租户管理员\n\n### 1.2 什么是用户组？\n\n- **用户组**是某租户内的用户集合，可通过用户组划分来实现对用户的管理和权限控制\n- 一个用户也可以属于多个用户组\n- 租户内的知识库、智能体等资源可见性，通过用户组控制\n\n![租户与用户组关系](./assets/user-management/tenant-usergroup.png)\n\n### 1.3 用户角色\n\n包含以下四个核心角色：\n\n| 角色           | 职责描述                                       | 适用场景             | 角色备注                                                     |\n| -------------- | ---------------------------------------------- | -------------------- | ------------------------------------------------------------ |\n| **超级管理员** | 可创建**不同租户**，管理所有租户资源           | 平台运维人员         | Nexent系统只有一个超级管理员，于本地部署时生成账号密码，请务必留存，日志关闭后无法找回 |\n| **管理员**     | 负责**租户内**的资源管理和权限分配             | 部门经理、租户负责人 | 同一租户可拥有多个管理员，只能由超级管理员邀请               |\n| **开发者**     | 可创建和编辑智能体、知识库等资源，但无管理权限 | 开发人员、产品经理   | 同一租户下可拥有多个开发者，可属于租户下多个用户组，由管理员和超级管理员邀请 |\n| **普通用户**   | 仅可使用平台提供的各项功能，无创建和编辑权限   | 员工、业务人员       | 同一租户下可拥有多个普通用户，可属于租户下多个用户组，由管理员和超级管理员邀请 |\n\n#### 1.3.1 超级管理员\n\n超级管理员负责平台的整体运维，可以创建租户并参与各租户内的用户权限管理，但无法使用智能体\n\n- ✅ 可以管理所有租户的人员及权限\n- ✅ 可以查看全平台监控与运维数据\n- ❌ 不能直接查看具体业务数据（如智能体对话内容、知识库文档等）\n- ❌ 不能创建和使用智能体、知识库等\n\n#### 1.3.2 管理员\n\n管理员是租户内的最高权限角色，负责租户内的资源管理和用户管理，拥有平台全部功能\n\n- ✅ 可以管理租户内的所有用户与用户组\n- ✅ 可以查看并编辑租户内所有智能体、知识库、MCP\n- ❌ 不能访问其他租户的数据\n\n#### 1.3.3 开发者\n\n开发者是租户内的技术角色，负责创建和优化智能体、知识库等技术资源\n\n- ✅ 可以创建智能体和知识库，并设置权限\n- ⚠️ 对他人创建的资源，需要被授权才能编辑\n- ❌ 不能管理租户内的用户和用户组\n\n#### 1.3.4 普通用户\n\n普通用户仅有使用智能体进行对话的权限\n\n- ✅ 可以使用被授权的智能体进行对话\n- ✅ 可以查看自己的使用记录和个人信息\n- ❌ 不能创建或编辑智能体、知识库\n\n\n## 二、页签访问权限\n\n| 页签           | 超级管理员 | 管理员 | 开发者 | 普通用户 |\n| -------------- | :--------: | :----: | :----: | :------: |\n| **首页**       |     ✅      |   ✅    |   ✅    |    ✅     |\n| **开始问答**   |     ❌      |   ✅    |   ✅    |    ✅     |\n| **快速配置**   |     ❌      |   ✅    |   ✅    |    ✅     |\n| **智能体空间** |     ❌      |   ✅    |   ✅    |    ❌     |\n| **智能体市场** |     ❌      |   ✅    |   ✅    |    ❌     |\n| **智能体开发** |     ❌      |   ✅    |   ✅    |    ❌     |\n| **知识库**     |     ❌      |   ✅    |   ✅    |    ❌     |\n| **MCP工具**    |     ❌      |   ✅    |   ✅    |    ❌     |\n| **监控与运维** |     ✅      |   ✅    |   ✅    |    ❌     |\n| **模型管理**   |     ❌      |   ✅    |   ✅    |    ❌     |\n| **记忆管理**   |     ❌      |   ✅    |   ✅    |    ✅     |\n| **个人信息**   |     ❌      |   ✅    |   ✅    |    ✅     |\n| **租户资源**   |     ✅      |   ✅    |   ❌    |    ❌     |\n\n\n## 三、资源权限对照表\n\n以下表格展示了四种角色对各类资源的操作权限。其中：\n\n- **超级管理员**：可管理所有租户的资源（跨租户）\n- **管理员/开发者/普通用户**：仅可操作本租户内的资源\n\n### 3.1 用户与用户组权限\n\n| 操作               | 超级管理员 | 管理员 | 开发者 | 普通用户 |\n| ------------------ | :--------: | :----: | :----: | :------: |\n| **查看租户列表**   |     ✅      |   ❌    |   ❌    |    ❌     |\n| **创建/删除租户**  |     ✅      |   ❌    |   ❌    |    ❌     |\n| **查看用户列表**   |     ✅      |   ✅    |   ❌    |    ❌     |\n| **编辑用户权限**   |     ✅      |   ✅    |   ❌    |    ❌     |\n| **删除用户**       |     ✅      |   ✅    |   ❌    |    ❌     |\n| **分配用户组**     |     ✅      |   ✅    |   ❌    |    ❌     |\n| **查看用户组列表** |     ✅      |   ✅    |   ❌    |    ❌     |\n| **创建用户组**     |     ✅      |   ✅    |   ❌    |    ❌     |\n| **编辑用户组**     |     ✅      |   ✅    |   ❌    |    ❌     |\n| **删除用户组**     |     ✅      |   ✅    |   ❌    |    ❌     |\n\n### 3.2 模型权限\n\n| 操作             | 超级管理员 | 管理员 | 开发者 | 普通用户 |\n| ---------------- | :--------: | :----: | :----: | :------: |\n| **查看模型列表** |     ✅      |   ✅    |   ✅    |    ❌     |\n| **添加模型**     |     ✅      |   ✅    |   ❌    |    ❌     |\n| **编辑模型**     |     ✅      |   ✅    |   ❌    |    ❌     |\n| **删除模型**     |     ✅      |   ✅    |   ❌    |    ❌     |\n| **测试连通性**   |     ✅      |   ✅    |   ✅    |    ❌     |\n| **使用模型**     |     ❌      |   ✅    |   ✅    |    ✅     |\n\n> 💡 **说明**：模型为租户级共享资源，同租户内所有用户组共享相同的模型池，不存在组间隔离。管理员统一管理模型配置，开发者和普通用户仅能使用已配置的模型。\n\n### 3.3 知识库权限\n\n| 操作                     | 超级管理员 | 管理员 |      开发者       | 普通用户 |\n| ------------------------ | :--------: | :----: | :---------------: | :------: |\n| **查看知识库列表**       |     ✅      |   ✅    | 🟡 自己创建/被授权 |    ❌     |\n| **查看知识库详情**       |     ❌      |   ✅    | 🟡 自己创建/被授权 |    ❌     |\n| **查看知识库总结**       |     ✅      |   ✅    | 🟡 自己创建/被授权 |    ❌     |\n| **创建知识库**           |     ❌      |   ✅    |         ✅         |    ❌     |\n| **编辑知识库名称和权限** |     ✅      |   ✅    | 🟡 自己创建/被授权 |    ❌     |\n| **编辑知识库分块、总结** |     ❌     |   ✅    | 🟡 自己创建/被授权 |    ❌     |\n| **删除知识库**           |     ✅      |   ✅    | 🟡 自己创建/被授权 |    ❌     |\n| **上传/删除文件**        |     ❌      |   ✅    | 🟡 自己创建/被授权 |    ❌     |\n\n### 3.4 智能体权限\n\n| 操作               | 超级管理员 | 管理员 |      开发者       |        普通用户        |\n| ------------------ | :--------: | :----: | :---------------: | :--------------------: |\n| **查看智能体列表** |     ✅      |   ✅    | 🟡 自己创建/被授权 | 🟡 被授权的已发布智能体 |\n| **查看智能体信息** |     ✅      |   ✅    | 🟡 自己创建/被授权 |           ❌            |\n| **编辑智能体配置** |     ❌      |   ✅    | 🟡 自己创建/被授权 |           ❌            |\n| **管理智能体版本** |     ✅      |   ✅    | 🟡 自己创建/被授权 |           ❌            |\n| **删除智能体**     |     ✅      |   ✅    | 🟡 自己创建/被授权 |           ❌            |\n| **使用智能体对话** |     ❌      |   ✅    | 🟡 自己创建/被授权 | 🟡 被授权的已发布智能体 |\n\n### 3.5 MCP权限\n\n| 操作            | 超级管理员 | 管理员 | 开发者 | 普通用户 |\n| --------------- | :--------: | :----: | :----: | :------: |\n| **查看MCP工具** |     ✅      |   ✅    |   ✅    |    ❌     |\n| **编辑MCP工具** |     ✅      |   ✅    |   ❌    |    ❌     |\n| **添加MCP工具** |     ✅      |   ✅    |   ✅    |    ❌     |\n| **删除MCP工具** |     ✅      |   ✅    |   ❌    |    ❌     |\n\n> 💡 **说明**：MCP 工具为租户级共享资源，同租户内所有用户组共享相同的 MCP 工具，不存在组间隔离。管理员可添加和管理 MCP 工具，开发者仅能添加 MCP 工具。\n\n\n## 四、权限配置\n\n### 4.1 智能体权限设置\n\n| 权限级别            | 说明                                                         | 适用场景         |\n| ------------------- | ------------------------------------------------------------ | ---------------- |\n| **仅创建者可见**    | 只有创建者（和管理员）可以查看和编辑                         | 个人开发的智能体 |\n| **指定用户组-只读** | 智能体开发页面指定用户组，则用户组内开发者可见、可发布，但不可编辑、不可删除。 | 部门专用智能体   |\n\n<img src=\"./assets/user-management/agent-permission.png\" alt=\"智能体权限设置\" style=\"width:50%;\">\n\n### 4.2 知识库权限设置\n\n| 权限级别              | 说明                                 | 适用场景       |\n| --------------------- | ------------------------------------ | -------------- |\n| **私有**              | 只有创建者（和管理员）可以查看和管理 | 个人知识库     |\n| **指定用户组-只读**   | 指定用户组可见，但不可编辑、删除     | 部门知识库     |\n| **指定用户组-可编辑** | 指定用户组可见且可编辑、删除         | 项目团队知识库 |\n\n<div style=\"display: flex; gap: 20px;\">\n  <img src=\"./assets/user-management/kb-permission-1.png\" alt=\"知识库权限设置1\" style=\"width: 45%;\">\n  <img src=\"./assets/user-management/kb-permission-2.png\" alt=\"知识库权限设置2\" style=\"width: 45%;\">\n</div>\n\n\n## 五、邀请码机制\n\nNexent 平台采用邀请码机制控制新用户注册，确保平台的安全性和可控性。\n\n### 5.1 生成邀请码\n\n- 超级管理员可进入「租户资源」→「选择租户」→「邀请码」\n- 管理员则直接通过「租户资源」→「邀请码」\n- 点击「创建邀请码」\n- 配置参数：邀请类型（管理员、开发者、用户）、邀请码、可使用次数、邀请进入的用户组、到期时间\n- 复制邀请码分发给相关人员\n\n![邀请码1](./assets/user-management/invite-code-1.png)\n\n<img src=\"./assets/user-management/invite-code-2.png\" alt=\"邀请码2\" style=\"width:50%;\">\n\n\n## 六、实践案例\n\n本节以**XX市人民医院-骨科**为例，展示如何在 Nexent 平台中构建单科室的医疗智能助手系统，以及各角色在系统中的工作流程。\n\n### 6.1 整体架构设计\n\n#### 6.1.1 架构层级对应关系\n\n在XX市人民医院场景下，Nexent平台的层级与医院实体对应关系如下：\n\n| 层级               | 对应实体                | 说明                                 |\n| ------------------ | ----------------------- | ------------------------------------ |\n| **超级管理员**     | 医院信息中心/系统管理员 | 管理整个医院的多个科室（多个租户）   |\n| **单个租户**       | 单个科室                | 如：骨科、心内科、外科               |\n| **租户内的用户组** | 科室内的专业小组        | 如：骨科医师组、护理组、康复组       |\n| **用户组内的成员** | 具体医护人员/患者       | 如：骨科主任医师、责任护士、住院患者 |\n\n#### 6.1.2 各角色的定义与职责\n\n| 角色           | 在骨科租户中的对应人员           | 核心职责                                               | 数据可见范围                               |\n| -------------- | -------------------------------- | ------------------------------------------------------ | ------------------------------------------ |\n| **超级管理员** | 医院信息中心管理员               | 管理医院各科室的多个租户（骨科、心内科、外科等）       | 全院所有租户的数据                         |\n| **管理员**     | 骨科主任                         | 管理骨科租户内的所有资源（用户、智能体、知识库等）     | 本科室（本租户）的所有数据                 |\n| **开发者**     | 骨科各亚专业主任医师、副主任医师 | 创建和编辑临床辅助智能体、上传专业资料到知识库         | 本科室内被授权的资源，自己创建的资源可管理 |\n| **普通用户**   | 住院医师、护士、患者             | 使用已发布的智能体进行工作辅助、查询信息、接受健康教育 | 本科室内被授权使用的资源，仅可使用不可编辑 |\n\n### 6.2 示例用户工作场景\n\n#### 场景1：医院信息中心管理员（超级管理员角色）\n\n- **用户身份**：医院信息中心-系统管理员-张工\n- **角色**：超级管理员\n- **工作需求**：管理XX市人民医院所有科室的Nexent平台租户，确保各科室系统正常运行\n- **在Nexent平台中的操作流程**：\n  1. **登录系统**：使用超级管理员账号登录Nexent平台\n  2. **查看租户列表**：进入「租户资源」页签，查看全院所有科室的租户：\n     - 骨科租户\n     - 心内科租户\n     - 外科租户\n     - 儿科租户\n     - ...（其他科室租户）\n  3. **创建新租户**（如医院新开设了康复科）：\n     - 点击「创建租户」\n     - 填写租户名称：「XX市人民医院-康复科」\n     - 邀请康复科主任为租户管理员\n\n#### 场景2：骨科主任（租户管理员角色）\n\n- **用户身份**：骨科-管理层-骨科主任-刘主任\n- **角色**：管理员\n- **工作需求**：管理骨科租户内的所有资源，为新入职的脊柱外科医生创建账号并配置权限\n- **在Nexent平台中的操作流程**：\n  1. **登录系统**：使用管理员账号登录Nexent平台\n  2. **进入用户管理**：点击「用户管理」页签\n  3. **创建新用户**：\n     - 点击「创建邀请码」，为该医生配置邀请进入的组以及开发者权限\n  4. **分配用户组**：\n     - 该医生还需进入后续新创建的「脊柱外科新组」用户组，进入「用户管理」编辑\n  5. **检查智能体权限**：\n     - 进入「智能体空间」，查看骨科现有的所有智能体\n     - 检查「脊柱CT影像分析助手」的权限设置是否正确（对脊柱外科组可见、可编辑）\n  6. **管理知识库**：\n     - 进入「知识库」页签，查看骨科知识库的内容更新情况\n     - 审批医生提交的新资料（如新的手术案例、研究文献等）\n\n#### 场景3：脊柱外科主任医师（开发者角色）\n\n- **用户身份**：骨科-脊柱外科组-主任医师-王医生\n- **角色**：开发者\n- **工作需求**：需要一个智能助手帮助分析脊柱CT影像，提供手术方案建议\n- **在Nexent平台中的操作流程**：\n  1. **登录系统**：使用医院分配的邀请码注册账号密码登录并进入对应的开发组\n  2. **进入智能体开发**：点击「智能体开发」页签\n  3. **创建新智能体**：点击「创建智能体」，命名为「脊柱CT影像分析助手」\n  4. **配置智能体能力**：\n     - 选择「医学影像分析模型」作为基础模型\n     - 关联「脊柱外科知识库」作为知识来源\n     - 配置提示词，训练智能体识别椎间盘突出、脊柱侧弯等病变\n  5. **设置权限**：\n     - 可见用户组：选择「脊柱外科组」\n     - 权限级别：选择「可编辑」（允许同科室医生修改优化）\n  6. **发布智能体**：点击「发布」，智能体正式投入使用\n- **可访问的数据**：\n  - ✅ 自己创建的「脊柱CT影像分析助手」智能体（可编辑、可管理版本）\n  - ✅ 被授权使用的其他智能体（如「骨科用药助手」）（仅可使用）\n  - ✅ 骨科相关的知识库（可查询，部分可上传资料）\n  - ❌ 其他租户（如心内科）的数据（完全隔离）\n\n#### 场景4：骨科住院患者（普通用户角色）\n\n- **用户身份**：骨科-住院患者组-住院患者-张先生\n- **角色**：普通用户\n- **工作需求**：腰椎间盘术后，想了解康复训练方法和出院后注意事项\n- **在Nexent平台中的操作流程**：\n  1. **登录系统**：登录Nexent平台患者端\n  2. **进入患者服务**：点击「开始问答」页签\n  3. **选择智能体**：点击「骨科康复助手」\n  4. **发起咨询**：\n     - 输入问题：「腰椎间盘术后第3天，可以做哪些康复训练？」\n     - 智能体根据骨科康复知识库，提供适合术后早期的康复动作视频和指导\n  5. **预约随访**：通过智能体预约出院后1个月的门诊随访\n- **可访问的数据**：\n  - ✅ 「骨科康复助手」智能体（仅可使用）\n  - ❌ 医生的诊断系统（无权限）\n  - ❌ 其他患者的数据（完全隔离）\n\n### 获取帮助\n\n如果您在使用过程中遇到任何问题：\n\n- 📖 查看 **[常见问题](../quick-start/faq)** 获取详细解答\n- 💬 加入我们的 [Discord 社区](https://discord.gg/tb5H3S3wyv) 与其他用户交流\n- 🆘 联系技术支持获取专业帮助"
  },
  {
    "path": "doc/package.json",
    "content": "{\n  \"devDependencies\": {\n    \"vitepress\": \"^1.6.3\"\n  },\n  \"scripts\": {\n    \"docs:dev\": \"vitepress dev docs\",\n    \"docs:build\": \"vitepress build docs\",\n    \"docs:preview\": \"vitepress preview docs\"\n  }\n}"
  },
  {
    "path": "doc/pnpm-workspace.yaml",
    "content": "ignoredBuiltDependencies:\n  - esbuild\n"
  },
  {
    "path": "docker/create-su.sh",
    "content": "#!/bin/bash\n\n# Script to create super admin user and insert into user_tenant_t table\n# This script should be called from deploy.sh with necessary environment variables\n\n# Note: We don't use set -e here because we want to handle errors gracefully\n# and return appropriate exit codes from functions\n\nSCRIPT_DIR=\"$(cd \"$(dirname \"${BASH_SOURCE[0]}\")\" && pwd)\"\n\n# Source environment variables if .env file exists\nif [ -f \"$SCRIPT_DIR/.env\" ]; then\n  set -a\n  source \"$SCRIPT_DIR/.env\"\n  set +a\nfi\n\ngenerate_random_password() {\n  # Generate a URL/JSON safe random password (alphanumeric only)\n  local pwd=\"\"\n  if command -v openssl >/dev/null 2>&1; then\n    pwd=$(openssl rand -base64 32 | tr -dc 'A-Za-z0-9' | head -c 20)\n  else\n    pwd=$(tr -dc 'A-Za-z0-9' </dev/urandom | head -c 20)\n  fi\n  if [ -z \"$pwd\" ]; then\n    # Fallback (should be extremely rare)\n    pwd=$(date +%s%N | tr -dc '0-9' | head -c 20)\n  fi\n  echo \"$pwd\"\n}\n\nwait_for_postgresql_ready() {\n  # Function to wait for PostgreSQL to become ready\n  local retries=0\n  local max_retries=${1:-30}  # Default 5 minutes, can be overridden\n  while [ $retries -lt $max_retries ]; do\n      if docker exec nexent-postgresql pg_isready -U \"$POSTGRES_USER\" -d \"$POSTGRES_DB\" >/dev/null 2>&1; then\n          echo \"   ✅ PostgreSQL is now ready!\"\n          return 0\n      fi\n      echo \"⏳ Waiting for PostgreSQL to become ready... (attempt $((retries + 1))/$max_retries)\"\n      sleep 10\n      retries=$((retries + 1))\n  done\n\n  if [ $retries -eq $max_retries ]; then\n      echo \"   ⚠️  Warning: PostgreSQL did not become ready within expected time\"\n      echo \"     You may need to check the container logs and try again\"\n      return 1\n  fi\n}\n\ncreate_default_super_admin_user() {\n  local email=\"suadmin@nexent.com\"\n  local password\n  \n  # Get password from command line argument, or generate random one if not provided\n  if [ -n \"$1\" ]; then\n    password=\"$1\"\n  else\n    # Fallback to random password if no argument provided (for backward compatibility)\n    password=\"$(generate_random_password)\"\n    echo \"   ⚠️  Warning: No password provided, using random password\"\n  fi\n\n  echo \"🔧 Creating super admin user...\"\n  \n  # Determine which container to use for curl command\n  local curl_container=\"nexent-config\"\n  if [ \"$DEPLOYMENT_MODE\" = \"infrastructure\" ] || ! docker ps | grep -q \"nexent-config\"; then\n    # In infrastructure mode or if nexent-config is not running, use supabase-db-mini\n    if docker ps | grep -q \"supabase-db-mini\"; then\n      curl_container=\"supabase-db-mini\"\n      echo \"   ℹ️  Using supabase-db-mini container (infrastructure mode)\"\n    else\n      echo \"   ❌ Neither nexent-config nor supabase-db-mini container is available.\"\n      return 1\n    fi\n  fi\n\n  RESPONSE=$(docker exec \"$curl_container\" bash -c \"curl -s -X POST http://kong:8000/auth/v1/signup -H \\\"apikey: ${SUPABASE_KEY}\\\" -H \\\"Authorization: Bearer ${SUPABASE_KEY}\\\" -H \\\"Content-Type: application/json\\\" -d '{\\\"email\\\":\\\"${email}\\\",\\\"password\\\":\\\"${password}\\\",\\\"email_confirm\\\":true}'\" 2>/dev/null)\n\n  if [ -z \"$RESPONSE\" ]; then\n    echo \"   ❌ No response received from Supabase.\"\n    return 1\n  elif echo \"$RESPONSE\" | grep -q '\"access_token\"' && echo \"$RESPONSE\" | grep -q '\"user\"'; then\n    echo \"   ✅ Default super admin user has been successfully created.\"\n    echo \"\"\n    echo \"      Please save the following credentials carefully.\"\n    echo \"   📧 Email:    ${email}\"\n    if [ -n \"$1\" ]; then\n      echo \"   🔏 Password: [User provided password]\"\n    else\n      echo \"   🔏 Password: ${password}\"\n    fi\n\n    # Extract user.id from RESPONSE JSON\n    local user_id\n    # Try using jq first (if available in the container or on host)\n    if docker exec \"$curl_container\" command -v jq >/dev/null 2>&1; then\n      user_id=$(echo \"$RESPONSE\" | docker exec -i \"$curl_container\" jq -r '.user.id // empty' 2>/dev/null)\n    elif command -v jq >/dev/null 2>&1; then\n      user_id=$(echo \"$RESPONSE\" | jq -r '.user.id // empty' 2>/dev/null)\n    fi\n\n    # Fallback: use grep and sed (works without any special tools)\n    if [ -z \"$user_id\" ]; then\n      user_id=$(echo \"$RESPONSE\" | grep -o '\"user\"[^}]*\"id\":\"[^\"]*\"' | sed -n 's/.*\"id\":\"\\([^\"]*\\)\".*/\\1/p' 2>/dev/null)\n    fi\n\n    if [ -z \"$user_id\" ]; then\n      echo \"   ⚠️  Warning: Could not extract user.id from response. Skipping database insertion.\"\n    else\n      # Wait for PostgreSQL to be ready\n      echo \"   ⏳ Waiting for PostgreSQL to be ready...\"\n      if ! wait_for_postgresql_ready; then\n        echo \"   ⚠️  Warning: PostgreSQL is not ready. Skipping database insertion.\"\n        return 0\n      fi\n\n      # Insert user_tenant_t record\n      echo \"   🔧 Inserting super admin user into user_tenant_t table...\"\n      local sql=\"INSERT INTO nexent.user_tenant_t (user_id, tenant_id, user_role, user_email, created_by, updated_by) VALUES ('${user_id}', '', 'SU', '${email}', 'system', 'system') ON CONFLICT (user_id, tenant_id) DO NOTHING;\"\n\n      if docker exec -i nexent-postgresql psql -U \"$POSTGRES_USER\" -d \"$POSTGRES_DB\" -c \"$sql\" >/dev/null 2>&1; then\n        echo \"   ✅ Super admin user inserted into user_tenant_t table successfully.\"\n      else\n        echo \"   ⚠️  Warning: Failed to insert super admin user into user_tenant_t table.\"\n      fi\n    fi\n  elif echo \"$RESPONSE\" | grep -q '\"error_code\":\"user_already_exists\"' || echo \"$RESPONSE\" | grep -q '\"code\":422'; then\n    echo \"   🚧 Default super admin user already exists. Skipping creation.\"\n    echo \"   📧 Email:    ${email}\"\n\n    # Even if user already exists, try to ensure the user_tenant_t record exists\n    # Get user_id from Supabase auth.users table\n    echo \"   🔧 Retrieving user_id from Supabase database...\"\n    local user_id\n    if [ \"$DEPLOYMENT_VERSION\" = \"full\" ] && docker ps | grep -q \"supabase-db-mini\"; then\n      # Query Supabase auth.users table to get user_id by email\n      user_id=$(docker exec supabase-db-mini psql -U postgres -d \"$SUPABASE_POSTGRES_DB\" -t -c \"SELECT id FROM auth.users WHERE email = '${email}' LIMIT 1;\" 2>/dev/null | tr -d '[:space:]')\n    fi\n\n    if [ -z \"$user_id\" ]; then\n      echo \"   ⚠️  Warning: Could not retrieve user_id. Skipping database insertion.\"\n      echo \"   💡 Note: If user_tenant_t record is missing, you may need to insert it manually.\"\n      return 0\n    fi\n\n    # Wait for PostgreSQL to be ready\n    echo \"   ⏳ Waiting for PostgreSQL to be ready...\"\n    if ! wait_for_postgresql_ready; then\n      echo \"   ⚠️  Warning: PostgreSQL is not ready. Skipping database insertion.\"\n      return 0\n    fi\n\n    # Insert user_tenant_t record\n    echo \"   🔧 Inserting super admin user into user_tenant_t table...\"\n    local sql=\"INSERT INTO nexent.user_tenant_t (user_id, tenant_id, user_role, user_email, created_by, updated_by) VALUES ('${user_id}', '', 'SU', '${email}', 'system', 'system') ON CONFLICT (user_id, tenant_id) DO NOTHING;\"\n\n    if docker exec -i nexent-postgresql psql -U \"$POSTGRES_USER\" -d \"$POSTGRES_DB\" -c \"$sql\" >/dev/null 2>&1; then\n      echo \"   ✅ Super admin user inserted into user_tenant_t table successfully.\"\n    else\n      echo \"   ⚠️  Warning: Failed to insert super admin user into user_tenant_t table.\"\n    fi\n  else\n    echo \"   ❌ Response from Supabase does not contain 'access_token' or 'user'.\"\n    return 1\n  fi\n\n  echo \"\"\n  echo \"--------------------------------\"\n  echo \"\"\n}\n\n# Main execution\n# Pass password as first argument if provided\nif create_default_super_admin_user \"$1\"; then\n  exit 0\nelse\n  exit 1\nfi\n"
  },
  {
    "path": "docker/deploy.sh",
    "content": "#!/bin/bash\n\n# Ensure the script is executed with bash (required for arrays and [[ ]])\nif [ -z \"$BASH_VERSION\" ]; then\n  echo \"❌ This script must be run with bash. Please use: bash deploy.sh or ./deploy.sh\"\n  exit 1\nfi\n\n# Exit immediately if a command exits with a non-zero status\nset -e\n\nSCRIPT_DIR=\"$(cd \"$(dirname \"${BASH_SOURCE[0]}\")\" && pwd)\"\nPROJECT_ROOT=\"$(cd \"$SCRIPT_DIR/..\" && pwd)\"\nCONST_FILE=\"$PROJECT_ROOT/backend/consts/const.py\"\nDEPLOY_OPTIONS_FILE=\"$SCRIPT_DIR/deploy.options\"\n\nMODE_CHOICE_SAVED=\"\"\nVERSION_CHOICE_SAVED=\"\"\nIS_MAINLAND_SAVED=\"\"\nENABLE_TERMINAL_SAVED=\"N\"\nTERMINAL_MOUNT_DIR_SAVED=\"${TERMINAL_MOUNT_DIR:-}\"\nAPP_VERSION=\"\"\n\ncd \"$SCRIPT_DIR\"\n\nset -a\nsource .env\n\n# Parse arg\nMODE_CHOICE=\"\"\nIS_MAINLAND=\"\"\nENABLE_TERMINAL=\"\"\nVERSION_CHOICE=\"\"\nROOT_DIR_PARAM=\"\"\n\n# Suppress the orphan warning\nexport COMPOSE_IGNORE_ORPHANS=True\n\nwhile [[ $# -gt 0 ]]; do\n  case \"$1\" in\n    --mode)\n      MODE_CHOICE=\"$2\"\n      shift 2\n      ;;\n    --is-mainland)\n      IS_MAINLAND=\"$2\"\n      shift 2\n      ;;\n    --enable-terminal)\n      ENABLE_TERMINAL=\"$2\"\n      shift 2\n      ;;\n    --version)\n      VERSION_CHOICE=\"$2\"\n      shift 2\n      ;;\n    --root-dir)\n      ROOT_DIR_PARAM=\"$2\"\n      shift 2\n      ;;\n    *)\n      shift\n      ;;\n  esac\ndone\n\nsanitize_input() {\n  local input=\"$1\"\n  printf \"%s\" \"$input\" | tr -d '\\r'\n}\n\nis_windows_env() {\n  # Detect Windows Git Bash / MSYS / MINGW environment\n  local os_name\n  os_name=$(uname -s 2>/dev/null | tr '[:upper:]' '[:lower:]')\n  if [[ \"$os_name\" == mingw* || \"$os_name\" == msys* ]]; then\n    return 0\n  fi\n  return 1\n}\n\nis_port_in_use() {\n  # Check if a TCP port is already in use (Linux/macOS/Windows Git Bash)\n  local port=\"$1\"\n\n  # Prefer lsof when available (typically on Linux/macOS)\n  if command -v lsof >/dev/null 2>&1 && ! is_windows_env; then\n    if lsof -iTCP:\"$port\" -sTCP:LISTEN -P -n >/dev/null 2>&1; then\n      return 0\n    fi\n    return 1\n  fi\n\n  # Fallback to ss if available\n  if command -v ss >/dev/null 2>&1; then\n    if ss -ltn 2>/dev/null | awk '{print $4}' | grep -qE \"[:\\.]${port}$\"; then\n      return 0\n    fi\n    return 1\n  fi\n\n  # Fallback to netstat (works on Windows and many Linux distributions)\n  if command -v netstat >/dev/null 2>&1; then\n    if netstat -an 2>/dev/null | grep -qE \"[:\\.]${port}[[:space:]]\"; then\n      return 0\n    fi\n    return 1\n  fi\n\n  # If no inspection tool is available, assume the port is free\n  return 1\n}\n\nadd_port_if_new() {\n  # Helper to add a port to global arrays only if not already present\n  local port=\"$1\"\n  local source=\"$2\"\n  local existing_port\n\n  for existing_port in \"${PORTS_TO_CHECK[@]}\"; do\n    if [ \"$existing_port\" = \"$port\" ]; then\n      return 0\n    fi\n  done\n\n  PORTS_TO_CHECK+=(\"$port\")\n  PORT_SOURCES+=(\"$source\")\n}\n\ncollect_ports_from_env_file() {\n  # Collect ports from a single env file, based on addresses and *_PORT style variables\n  local env_file=\"$1\"\n\n  if [ ! -f \"$env_file\" ]; then\n    return 0\n  fi\n\n  # 1) Address-style values containing :PORT (for example http://host:3000)\n  #    We only care about the numeric port part.\n  while IFS= read -r match; do\n    local port=\"${match#:}\"\n    port=$(echo \"$port\" | tr -d '[:space:]')\n    if [[ \"$port\" =~ ^[0-9]{2,5}$ ]]; then\n      add_port_if_new \"$port\" \"$env_file (address)\"\n    fi\n  done < <(grep -Eo ':[0-9]{2,5}' \"$env_file\" 2>/dev/null | sort -u)\n\n  # 2) Variables that explicitly define a port, for example FOO_PORT=3000\n  while IFS= read -r line; do\n    # Strip inline comments\n    line=\"${line%%#*}\"\n    # Extract value part after '='\n    local value=\"${line#*=}\"\n    value=$(echo \"$value\" | tr -d '[:space:]\"'\\''')\n    if [[ \"$value\" =~ ^[0-9]{2,5}$ ]]; then\n      add_port_if_new \"$value\" \"$env_file (PORT variable)\"\n    fi\n  done < <(grep -E '^[A-Za-z_][A-Za-z0-9_]*_PORT *= *[0-9]{2,5}' \"$env_file\" 2>/dev/null)\n}\n\ncheck_ports_in_env_files() {\n  # Preflight check: ensure all ports referenced in env files are free\n  PORTS_TO_CHECK=()\n  PORT_SOURCES=()\n\n  # Always include the main .env if present, plus any .env.* files\n  local env_files=()\n  if [ -f \".env\" ]; then\n    env_files+=(\".env\")\n  fi\n\n  # Include additional env variants such as .env.general and .env.mainland\n  local f\n  for f in .env.*; do\n    if [ -f \"$f\" ]; then\n      env_files+=(\"$f\")\n    fi\n  done\n\n  # Collect ports from all discovered env files\n  for f in \"${env_files[@]}\"; do\n    collect_ports_from_env_file \"$f\"\n  done\n\n  if [ ${#PORTS_TO_CHECK[@]} -eq 0 ]; then\n    echo \"🔍 No port definitions found in environment files, skipping port availability check.\"\n    echo \"\"\n    echo \"--------------------------------\"\n    echo \"\"\n    return 0\n  fi\n\n  echo \"🔍 Checking port availability defined in environment files...\"\n  local occupied_ports=()\n  local occupied_sources=()\n\n  local idx\n  for idx in \"${!PORTS_TO_CHECK[@]}\"; do\n    local port=\"${PORTS_TO_CHECK[$idx]}\"\n    local source=\"${PORT_SOURCES[$idx]}\"\n\n    if is_port_in_use \"$port\"; then\n      occupied_ports+=(\"$port\")\n      occupied_sources+=(\"$source\")\n      echo \"   ❌ Port $port is already in use.\"\n    else\n      echo \"   ✅ Port $port is free.\"\n    fi\n  done\n\n  if [ ${#occupied_ports[@]} -gt 0 ]; then\n    echo \"\"\n    echo \"❌ Port conflict detected. The following ports required by Nexent are already in use:\"\n    local i\n    for i in \"${!occupied_ports[@]}\"; do\n      echo \"   - Port ${occupied_ports[$i]}\"\n    done\n    echo \"\"\n    echo \"Please free these ports or update the corresponding .env files.\"\n    echo \"\"\n\n    # Ask user whether to continue deployment even if some ports are occupied\n    local confirm_continue\n    read -p \"👉 Do you still want to continue deployment even though some ports are in use? [y/N]: \" confirm_continue\n    confirm_continue=$(sanitize_input \"$confirm_continue\")\n    if ! [[ \"$confirm_continue\" =~ ^[Yy]$ ]]; then\n      echo \"🚫 Deployment aborted due to port conflicts.\"\n      exit 1\n    fi\n\n    echo \"⚠️  Continuing deployment even though some required ports are already in use.\"\n  fi\n\n  echo \"\"\n  echo \"--------------------------------\"\n  echo \"\"\n}\n\ntrim_quotes() {\n  local value=\"$1\"\n  value=\"${value%$'\\r'}\"\n  value=\"${value%\\\"}\"\n  value=\"${value#\\\"}\"\n  echo \"$value\"\n}\n\nget_app_version() {\n  if [ ! -f \"$CONST_FILE\" ]; then\n    echo \"\"\n    return\n  fi\n\n  local line\n  line=$(grep -E 'APP_VERSION' \"$CONST_FILE\" | tail -n 1 || true)\n  line=\"${line##*=}\"\n  line=\"$(echo \"$line\" | sed 's/^[[:space:]]*//;s/[[:space:]]*$//')\"\n  local value\n  value=\"$(trim_quotes \"$line\")\"\n  echo \"$value\"\n}\n\npersist_deploy_options() {\n  {\n    echo \"APP_VERSION=\\\"${APP_VERSION}\\\"\"\n    echo \"ROOT_DIR=\\\"${ROOT_DIR}\\\"\"\n    echo \"MODE_CHOICE=\\\"${MODE_CHOICE_SAVED}\\\"\"\n    echo \"VERSION_CHOICE=\\\"${VERSION_CHOICE_SAVED}\\\"\"\n    echo \"IS_MAINLAND=\\\"${IS_MAINLAND_SAVED}\\\"\"\n    echo \"ENABLE_TERMINAL=\\\"${ENABLE_TERMINAL_SAVED}\\\"\"\n    echo \"TERMINAL_MOUNT_DIR=\\\"${TERMINAL_MOUNT_DIR_SAVED}\\\"\"\n  } > \"$DEPLOY_OPTIONS_FILE\"\n}\n\ngenerate_minio_ak_sk() {\n  echo \"🔑 Generating MinIO keys...\"\n\n  if [ \"$(uname -s | tr '[:upper:]' '[:lower:]')\" = \"mingw\" ] || [ \"$(uname -s | tr '[:upper:]' '[:lower:]')\" = \"msys\" ]; then\n    # Windows\n    ACCESS_KEY=$(powershell -Command \"[System.Convert]::ToBase64String([System.Guid]::NewGuid().ToByteArray()) -replace '[^a-zA-Z0-9]', '' -replace '=.+$', '' | Select-Object -First 12\")\n    SECRET_KEY=$(powershell -Command '$rng = [System.Security.Cryptography.RandomNumberGenerator]::Create(); $bytes = New-Object byte[] 32; $rng.GetBytes($bytes); [System.Convert]::ToBase64String($bytes)')\n  else\n    # Linux/Mac\n    # Generate a random AK (12-character alphanumeric)\n    ACCESS_KEY=$(openssl rand -hex 12 | tr -d '\\r\\n' | sed 's/[^a-zA-Z0-9]//g')\n\n    # Generate a random SK (32-character high-strength random string)\n    SECRET_KEY=$(openssl rand -base64 32 | tr -d '\\r\\n' | sed 's/[^a-zA-Z0-9+/=]//g')\n  fi\n\n  if [ -z \"$ACCESS_KEY\" ] || [ -z \"$SECRET_KEY\" ]; then\n    echo \"   ❌ ERROR Failed to generate MinIO access keys\"\n    return 1\n  fi\n\n  export MINIO_ACCESS_KEY=$ACCESS_KEY\n  export MINIO_SECRET_KEY=$SECRET_KEY\n\n  update_env_var \"MINIO_ACCESS_KEY\" \"$ACCESS_KEY\"\n  update_env_var \"MINIO_SECRET_KEY\" \"$SECRET_KEY\"\n\n  echo \"   ✅ MinIO keys generated successfully\"\n}\n\ngenerate_jwt() {\n  # Function to generate JWT token\n  local role=$1\n  local secret=$JWT_SECRET\n  local now=$(date +%s)\n  local exp=$((now + 157680000))\n\n  local header='{\"alg\":\"HS256\",\"typ\":\"JWT\"}'\n  local header_base64=$(echo -n \"$header\" | base64 | tr -d '\\n=' | tr '/+' '_-')\n\n  local payload=\"{\\\"role\\\":\\\"$role\\\",\\\"iss\\\":\\\"supabase\\\",\\\"iat\\\":$now,\\\"exp\\\":$exp}\"\n  local payload_base64=$(echo -n \"$payload\" | base64 | tr -d '\\n=' | tr '/+' '_-')\n\n  local signature=$(echo -n \"$header_base64.$payload_base64\" | openssl dgst -sha256 -hmac \"$secret\" -binary | base64 | tr -d '\\n=' | tr '/+' '_-')\n\n  echo \"$header_base64.$payload_base64.$signature\"\n}\n\ngenerate_supabase_keys() {\n  if [ \"$DEPLOYMENT_VERSION\" = \"full\" ]; then\n    # Function to generate Supabase secrets\n    echo \"🔑 Generating Supabase keys...\"\n\n    # Generate fresh keys on every run for security\n    export JWT_SECRET=$(openssl rand -base64 32 | tr -d '[:space:]')\n    export SECRET_KEY_BASE=$(openssl rand -base64 64 | tr -d '[:space:]')\n    export VAULT_ENC_KEY=$(openssl rand -base64 32 | tr -d '[:space:]')\n\n    # Generate JWT-dependent keys using the new JWT_SECRET\n    local anon_key=$(generate_jwt \"anon\")\n    local service_role_key=$(generate_jwt \"service_role\")\n\n    # Update or add all keys to the .env file\n    update_env_var \"JWT_SECRET\" \"$JWT_SECRET\"\n    update_env_var \"SECRET_KEY_BASE\" \"$SECRET_KEY_BASE\"\n    update_env_var \"VAULT_ENC_KEY\" \"$VAULT_ENC_KEY\"\n    update_env_var \"SUPABASE_KEY\" \"$anon_key\"\n    update_env_var \"SERVICE_ROLE_KEY\" \"$service_role_key\"\n\n    # Reload the environment variables from the updated .env file\n    source .env\n    echo \"   ✅ Supabase keys generated successfully\"\n  fi\n}\n\n\ngenerate_elasticsearch_api_key() {\n  # Function to generate Elasticsearch API key\n  wait_for_elasticsearch_healthy || { echo \"   ❌ Elasticsearch health check failed\"; return 0; }\n\n  # Generate API key\n  echo \"🔑 Generating ELASTICSEARCH_API_KEY...\"\n  API_KEY_JSON=$(docker exec nexent-elasticsearch curl -s -u \"elastic:$ELASTIC_PASSWORD\" \"http://localhost:9200/_security/api_key\" -H \"Content-Type: application/json\" -d '{\"name\":\"my_api_key\",\"role_descriptors\":{\"my_role\":{\"cluster\":[\"all\"],\"index\":[{\"names\":[\"*\"],\"privileges\":[\"all\"]}]}}}')\n\n  # Extract API key and add to .env\n  ELASTICSEARCH_API_KEY=$(echo \"$API_KEY_JSON\" | grep -o '\"encoded\":\"[^\"]*\"' | awk -F'\"' '{print $4}')\n  echo \"✅ ELASTICSEARCH_API_KEY Generated: $ELASTICSEARCH_API_KEY\"\n  if [ -n \"$ELASTICSEARCH_API_KEY\" ]; then\n    update_env_var \"ELASTICSEARCH_API_KEY\" \"$ELASTICSEARCH_API_KEY\"\n  fi\n}\n\ngenerate_env_for_infrastructure() {\n  # Function to generate complete environment file for infrastructure mode using generate_env.sh\n  echo \"🔑 Generating complete environment file in root directory...\"\n  echo \"   🚀 Running generate_env.sh...\"\n\n  # Check if generate_env.sh exists\n  if [ ! -f \"generate_env.sh\" ]; then\n      echo \"   ❌ ERROR generate_env.sh not found in docker directory\"\n      return 1\n  fi\n\n  # Make sure the script is executable and run it\n  chmod +x generate_env.sh\n\n  # Export DEPLOYMENT_VERSION to ensure generate_env.sh can access it\n  export DEPLOYMENT_VERSION\n\n  if ./generate_env.sh; then\n      echo \"   ✅ Environment file generated successfully for infrastructure mode!\"\n      # Source the generated .env file to make variables available\n      if [ -f \"../.env\" ]; then\n          echo \"   ⏏️ Sourcing generated root .env file...\"\n          set -a\n          source ../.env\n          set +a\n          echo \"   ✅ Environment variables loaded from ../.env\"\n      else\n          echo \"   ⚠️  Warning: ../.env file not found after generation\"\n          return 1\n      fi\n  else\n      echo \"   ❌ ERROR Failed to generate environment file\"\n      return 1\n  fi\n\n  echo \"\"\n  echo \"--------------------------------\"\n  echo \"\"\n}\n\nget_compose_version() {\n  # Function to get the version of docker compose\n  if command -v docker &> /dev/null; then\n      version_output=$(docker compose version 2>/dev/null)\n      if [[ $version_output =~ (v[0-9]+\\.[0-9]+\\.[0-9]+) ]]; then\n          echo \"v2 ${BASH_REMATCH[1]}\"\n          return 0\n      fi\n  fi\n\n  if command -v docker-compose &> /dev/null; then\n      version_output=$(docker-compose --version 2>/dev/null)\n      if [[ $version_output =~ ([0-9]+\\.[0-9]+\\.[0-9]+) ]]; then\n          echo \"v1 ${BASH_REMATCH[1]}\"\n          return 0\n      fi\n  fi\n\n  echo \"unknown\"\n  return 0\n}\n\ndisable_dashboard() {\n  update_env_var \"DISABLE_RAY_DASHBOARD\" \"true\"\n  update_env_var \"DISABLE_CELERY_FLOWER\" \"true\"\n}\n\npull_mcp_image() {\n  echo \"🔄 Checking MCP Docker image...\"\n\n  # Get MCP image name from environment or use default\n  MCP_IMAGE_NAME=${NEXENT_MCP_DOCKER_IMAGE:-nexent/nexent-mcp:latest}\n  echo \"   📦 Image: ${MCP_IMAGE_NAME}\"\n\n  # Check if image already exists locally\n  if docker image inspect \"${MCP_IMAGE_NAME}\" >/dev/null 2>&1; then\n    echo \"   ✅ MCP image already exists locally\"\n    echo \"   💡 Skipping pull, using existing image\"\n  else\n    echo \"   📥 MCP image not found locally, pulling...\"\n    if docker pull \"${MCP_IMAGE_NAME}\"; then\n      echo \"   ✅ MCP image pulled successfully\"\n      echo \"   💡 The image will be available when you need to start MCP services\"\n    else\n      echo \"   ⚠️  Failed to pull MCP image, but deployment continues\"\n      echo \"   💡 You can manually pull the image later: docker pull ${MCP_IMAGE_NAME}\"\n    fi\n  fi\n\n  echo \"\"\n  echo \"--------------------------------\"\n  echo \"\"\n}\n\nselect_deployment_mode() {\n  echo \"🎛️  Please select deployment mode:\"\n  echo \"   1) 🛠️  Development mode - Expose all service ports for debugging\"\n  echo \"   2) 🏗️  Infrastructure mode - Only start infrastructure services\"\n  echo \"   3) 🚀 Production mode - Only expose port 3000 for security\"\n\n  if [ -n \"$MODE_CHOICE\" ]; then\n    mode_choice=\"$MODE_CHOICE\"\n    echo \"👉 Using mode_choice from argument: $mode_choice\"\n  else\n    read -p \"👉 Enter your choice [1/2/3] (default: 1): \" mode_choice\n  fi\n\n  # Sanitize potential Windows CR in input\n  mode_choice=$(sanitize_input \"$mode_choice\")\n  MODE_CHOICE_SAVED=\"$mode_choice\"\n\n  case $mode_choice in\n      2|\"infrastructure\")\n          export DEPLOYMENT_MODE=\"infrastructure\"\n          export COMPOSE_FILE_SUFFIX=\".yml\"\n          echo \"✅ Selected infrastructure mode 🏗️\"\n          ;;\n      3|\"production\")\n          export DEPLOYMENT_MODE=\"production\"\n          export COMPOSE_FILE_SUFFIX=\".prod.yml\"\n          disable_dashboard\n          echo \"✅ Selected production mode 🚀\"\n          ;;\n      1|\"development\"|*)\n          export DEPLOYMENT_MODE=\"development\"\n          export COMPOSE_FILE_SUFFIX=\".yml\"\n          echo \"✅ Selected development mode 🛠️\"\n          ;;\n  esac\n  echo \"\"\n\n  if [ -n \"$ROOT_DIR_PARAM\" ]; then\n  # Check if root-dir parameter is provided (highest priority)\n    ROOT_DIR=\"$ROOT_DIR_PARAM\"\n    echo \"   📁 Using ROOT_DIR from parameter: $ROOT_DIR\"\n    # Write to .env file\n    if grep -q \"^ROOT_DIR=\" .env; then\n      # Update existing ROOT_DIR in .env\n      sed -i \"s|^ROOT_DIR=.*|ROOT_DIR=\\\"$ROOT_DIR\\\"|\" .env\n    else\n      # Add new ROOT_DIR to .env\n      echo \"# Root dir\" >> .env\n      echo \"ROOT_DIR=\\\"$ROOT_DIR\\\"\" >> .env\n    fi\n  elif grep -q \"^ROOT_DIR=\" .env; then\n  # Check if ROOT_DIR already exists in .env (second priority)\n    # Extract existing ROOT_DIR value from .env\n    env_root_dir=$(grep \"^ROOT_DIR=\" .env | cut -d'=' -f2 | sed 's/^\"//;s/\"$//')\n    ROOT_DIR=\"$env_root_dir\"\n    echo \"   📁 Use existing ROOT_DIR path: $env_root_dir\"\n\n  else\n  # Use default value and prompt user input (lowest priority)\n    default_root_dir=\"$HOME/nexent-data\"\n    read -p \"   📁 Enter ROOT_DIR path (default: $default_root_dir): \" user_root_dir\n    ROOT_DIR=\"${user_root_dir:-$default_root_dir}\"\n\n    echo \"# Root dir\" >> .env\n    echo \"ROOT_DIR=\\\"$ROOT_DIR\\\"\" >> .env\n  fi\n  echo \"\"\n  echo \"--------------------------------\"\n  echo \"\"\n}\n\nclean() {\n  export MINIO_ACCESS_KEY=\n  export MINIO_SECRET_KEY=\n  export DEPLOYMENT_MODE=\n  export COMPOSE_FILE_SUFFIX=\n  export DEPLOYMENT_VERSION=\n\n  if [ -f \".env.bak\" ]; then\n    rm .env.bak\n  fi\n  if [ -f \"../.env.bak\" ]; then\n    rm ../.env.bak\n  fi\n}\n\nupdate_env_var() {\n  # Function to update or add a key-value pair to .env\n  local key=\"$1\"\n  local value=\"$2\"\n  local env_file=\".env\"\n\n  # Ensure the .env file exists\n  touch \"$env_file\"\n\n  if grep -q \"^${key}=\" \"$env_file\"; then\n    # Key exists, so update it. Escape \\ and & for sed's replacement string.\n    # Use ~ as the separator to avoid issues with / in the value.\n    local escaped_value=$(echo \"$value\" | sed -e 's/\\\\/\\\\\\\\/g' -e 's/&/\\\\&/g')\n    sed -i.bak \"s~^${key}=.*~${key}=\\\"${escaped_value}\\\"~\" \"$env_file\"\n  else\n    # Key doesn't exist, so add it\n    echo \"${key}=\\\"${value}\\\"\" >> \"$env_file\"\n  fi\n\n}\n\ncreate_dir_with_permission() {\n  # Function to create a directory and set permissions\n  local dir_path=\"$1\"\n  local permission=\"$2\"\n\n  # Check if parameters are provided\n  if [ -z \"$dir_path\" ] || [ -z \"$permission\" ]; then\n      echo \"   ❌ ERROR Directory path and permission parameters are required.\" >&2\n      return 1\n  fi\n\n  # Create the directory if it doesn't exist\n  if [ ! -d \"$dir_path\" ]; then\n      mkdir -p \"$dir_path\"\n      if [ $? -ne 0 ]; then\n          echo \"   ❌ ERROR Failed to create directory $dir_path.\" >&2\n          return 1\n      fi\n  fi\n\n  # Set directory permissions\n  if chmod -R \"$permission\" \"$dir_path\" 2>/dev/null; then\n      echo \"   📁 Directory $dir_path has been created and permissions set to $permission.\"\n  fi\n}\n\nprepare_directory_and_data() {\n  # Initialize the sql script permission\n  chmod 644 \"init.sql\"\n\n  echo \"🔧 Creating directory with permission...\"\n  create_dir_with_permission \"$ROOT_DIR/elasticsearch\" 775\n  create_dir_with_permission \"$ROOT_DIR/postgresql\" 775\n  create_dir_with_permission \"$ROOT_DIR/minio\" 775\n  create_dir_with_permission \"$ROOT_DIR/redis\" 775\n\n  cp -rn volumes $ROOT_DIR\n  chmod -R 775 $ROOT_DIR/volumes\n  echo \"   📁 Directory $ROOT_DIR/volumes has been created and permissions set to 775.\"\n\n  # Copy sync_user_supabase2pg.py to ROOT_DIR for container access\n  cp -rn scripts $ROOT_DIR\n  chmod 644 \"$ROOT_DIR/scripts/sync_user_supabase2pg.py\"\n  echo \"   📁 update scripts copied to $ROOT_DIR\"\n\n  # Create nexent user workspace directory\n  NEXENT_USER_DIR=\"$HOME/nexent\"\n  create_dir_with_permission \"$NEXENT_USER_DIR\" 775\n  echo \"   🖥️  Nexent user workspace: $NEXENT_USER_DIR\"\n\n  # Export for docker-compose\n  export NEXENT_USER_DIR\n\n  echo \"\"\n  echo \"--------------------------------\"\n  echo \"\"\n}\n\ndeploy_core_services() {\n  # Function to deploy core services\n  echo \"👀 Starting core services...\"\n  if ! ${docker_compose_command} -p nexent -f \"docker-compose${COMPOSE_FILE_SUFFIX}\" up -d nexent-config nexent-runtime nexent-mcp nexent-northbound nexent-web nexent-data-process; then\n    echo \"   ❌ ERROR Failed to start core services\"\n    return 1\n  fi\n}\n\ndeploy_infrastructure() {\n  # Start infrastructure services (basic services only)\n  echo \"🔧 Starting infrastructure services...\"\n  INFRA_SERVICES=\"nexent-elasticsearch nexent-postgresql nexent-minio redis\"\n\n  # Add openssh-server if Terminal tool container is enabled\n  if [ \"$ENABLE_TERMINAL_TOOL_CONTAINER\" = \"true\" ]; then\n    INFRA_SERVICES=\"$INFRA_SERVICES nexent-openssh-server\"\n    echo \"🔧 Terminal tool container enabled - openssh-server will be included in infrastructure\"\n  fi\n\n  if ! ${docker_compose_command} -p nexent -f \"docker-compose${COMPOSE_FILE_SUFFIX}\" up -d $INFRA_SERVICES; then\n    echo \"   ❌ ERROR Failed to start infrastructure services\"\n    return 1\n  fi\n\n  if [ \"$ENABLE_TERMINAL_TOOL_CONTAINER\" = \"true\" ]; then\n    echo \"🔧 Terminal tool container (openssh-server) is now available for AI agents\"\n  fi\n\n  # Deploy Supabase services based on DEPLOYMENT_VERSION\n  if [ \"$DEPLOYMENT_VERSION\" = \"full\" ]; then\n      echo \"\"\n      echo \"🔧 Starting Supabase services...\"\n      # Check if the supabase compose file exists\n      if [ ! -f \"docker-compose-supabase${COMPOSE_FILE_SUFFIX}\" ]; then\n          echo \"   ❌ ERROR Supabase compose file not found: docker-compose-supabase${COMPOSE_FILE_SUFFIX}\"\n          return 1\n      fi\n\n      # Start Supabase services\n      if ! $docker_compose_command -p nexent -f \"docker-compose-supabase${COMPOSE_FILE_SUFFIX}\" up -d; then\n          echo \"   ❌ ERROR Failed to start supabase services\"\n          return 1\n      fi\n\n      echo \"   ✅ Supabase services started successfully\"\n  else\n      echo \"   🚧 Skipping Supabase services...\"\n  fi\n\n  echo \"   ✅ Infrastructure services started successfully\"\n}\n\nselect_deployment_version() {\n  # Function to select deployment version\n  echo \"🚀 Please select deployment version:\"\n  echo \"   1) ⚡️  Speed version - Lightweight deployment with essential features\"\n  echo \"   2) 🎯  Full version - Full-featured deployment with all capabilities\"\n  if [ -n \"$VERSION_CHOICE\" ]; then\n    version_choice=\"$VERSION_CHOICE\"\n    echo \"👉 Using version_choice from argument: $version_choice\"\n  else\n    read -p \"👉 Enter your choice [1/2] (default: 1): \" version_choice\n  fi\n\n  # Sanitize potential Windows CR in input\n  version_choice=$(sanitize_input \"$version_choice\")\n  VERSION_CHOICE_SAVED=\"${version_choice}\"\n  case $version_choice in\n      2|\"full\")\n          export DEPLOYMENT_VERSION=\"full\"\n          echo \"✅ Selected complete version 🎯\"\n          ;;\n      1|\"speed\"|*)\n          export DEPLOYMENT_VERSION=\"speed\"\n          echo \"✅ Selected speed version ⚡️\"\n          ;;\n  esac\n\n  # Save the version choice to .env file\n  local key=\"DEPLOYMENT_VERSION\"\n  local value=\"$DEPLOYMENT_VERSION\"\n  local env_file=\".env\"\n\n  # Ensure the .env file exists\n  touch \"$env_file\"\n\n  if grep -q \"^${key}=\" \"$env_file\"; then\n    # Key exists, so update it. Escape \\ and & for sed's replacement string.\n    # Use ~ as the separator to avoid issues with / in the value.\n    local escaped_value=$(echo \"$value\" | sed -e 's/\\\\/\\\\\\\\/g' -e 's/&/\\\\&/g')\n    sed -i.bak \"s~^${key}=.*~${key}=\\\"${escaped_value}\\\"~\" \"$env_file\"\n  else\n    # Key doesn't exist, so add it\n    echo \"${key}=\\\"${value}\\\"\" >> \"$env_file\"\n  fi\n\n  echo \"\"\n  echo \"--------------------------------\"\n  echo \"\"\n}\n\nsetup_package_install_script() {\n  # Function to setup package installation script\n  echo \"📝 Setting up package installation script...\"\n  mkdir -p \"openssh-server/config/custom-cont-init.d\"\n\n  # Copy the fixed installation script\n  if [ -f \"openssh-install-script.sh\" ]; then\n      cp \"openssh-install-script.sh\" \"openssh-server/config/custom-cont-init.d/openssh-start-script\"\n      chmod +x \"openssh-server/config/custom-cont-init.d/openssh-start-script\"\n      echo \"   ✅ Package installation script created/updated\"\n  else\n      echo \"   ❌ ERROR openssh-install-script.sh not found\"\n      return 1\n  fi\n}\n\nwait_for_elasticsearch_healthy() {\n  # Function to wait for Elasticsearch to become healthy\n  local retries=0\n  local max_retries=${1:-60}  # Default 10 minutes, can be overridden\n  while ! ${docker_compose_command} -p nexent -f \"docker-compose${COMPOSE_FILE_SUFFIX}\" ps nexent-elasticsearch | grep -q \"healthy\" && [ $retries -lt $max_retries ]; do\n      echo \"⏳ Waiting for Elasticsearch to become healthy... (attempt $((retries + 1))/$max_retries)\"\n      sleep 10\n      retries=$((retries + 1))\n  done\n\n  if [ $retries -eq $max_retries ]; then\n      echo \"   ⚠️  Warning: Elasticsearch did not become healthy within expected time\"\n      echo \"     You may need to check the container logs and try again\"\n      return 0\n  else\n      echo \"   ✅ Elasticsearch is now healthy!\"\n      return 0\n  fi\n}\n\n\nselect_terminal_tool() {\n    # Function to ask if user wants to create Terminal tool container\n    echo \"🔧 Terminal Tool Container Setup:\"\n    echo \"    Terminal tool allows AI agents to execute shell commands via SSH.\"\n    echo \"    This will create an openssh-server container for secure command execution.\"\n    if [ -n \"$ENABLE_TERMINAL\" ]; then\n        enable_terminal=\"$ENABLE_TERMINAL\"\n    else\n        read -p \"👉 Do you want to create Terminal tool container? [Y/N] (default: N): \" enable_terminal\n    fi\n\n    # Sanitize potential Windows CR in input\n    enable_terminal=$(sanitize_input \"$enable_terminal\")\n\n    if [[ \"$enable_terminal\" =~ ^[Yy]$ ]]; then\n        ENABLE_TERMINAL_SAVED=\"Y\"\n        export ENABLE_TERMINAL_TOOL_CONTAINER=\"true\"\n        export COMPOSE_PROFILES=\"${COMPOSE_PROFILES:+$COMPOSE_PROFILES,}terminal\"\n        echo \"✅ Terminal tool container will be created 🔧\"\n        echo \"   🔧 Creating openssh-server container for secure command execution\"\n\n        # Ask user to specify directory mapping for container\n        default_terminal_dir=\"/opt/terminal\"\n        echo \"   📁 Terminal container directory mapping:\"\n        echo \"      • Container path: /opt/terminal (fixed)\"\n        echo \"      • Host path: You can specify any directory on your host machine\"\n        echo \"      • Default host path: /opt/terminal (recommended)\"\n        echo \"\"\n        read -p \"   📁 Enter host directory to mount to container (default: /opt/terminal): \" terminal_mount_dir\n        terminal_mount_dir=$(sanitize_input \"$terminal_mount_dir\")\n        TERMINAL_MOUNT_DIR=\"${terminal_mount_dir:-$default_terminal_dir}\"\n        TERMINAL_MOUNT_DIR_SAVED=\"$TERMINAL_MOUNT_DIR\"\n\n        # Save to environment variables\n        export TERMINAL_MOUNT_DIR\n        update_env_var \"TERMINAL_MOUNT_DIR\" \"$TERMINAL_MOUNT_DIR\"\n\n        echo \"   📁 Terminal mount configuration:\"\n        echo \"      • Host: $TERMINAL_MOUNT_DIR\"\n        echo \"      • Container: /opt/terminal\"\n        echo \"      • This directory will be created if it doesn't exist\"\n        echo \"\"\n\n        # Setup SSH credentials for Terminal tool container\n        echo \"🔐 Setting up SSH credentials for Terminal tool container...\"\n\n        # Check if SSH credentials are already set\n        if [ -n \"$SSH_USERNAME\" ] && [ -n \"$SSH_PASSWORD\" ]; then\n            echo \"🚧 SSH credentials already configured, skipping setup...\"\n            echo \"👤 Username: $SSH_USERNAME\"\n            echo \"🔑 Password: [HIDDEN]\"\n        else\n            # Prompt for SSH credentials\n            echo \"Please enter SSH credentials for Terminal tool container:\"\n            echo \"\"\n\n            # Get SSH username\n            if [ -z \"$SSH_USERNAME\" ]; then\n                read -p \"SSH Username (default: root): \" input_username\n                SSH_USERNAME=${input_username:-root}\n            fi\n\n            # Get SSH password\n            if [ -z \"$SSH_PASSWORD\" ]; then\n                echo \"SSH Password (will be hidden): \"\n                read -s input_password\n                echo \"\"\n                if [ -z \"$input_password\" ]; then\n                    echo \"❌ SSH password cannot be empty\"\n                    return 1\n                fi\n                SSH_PASSWORD=\"$input_password\"\n            fi\n\n            # Validate credentials\n            if [ -z \"$SSH_USERNAME\" ] || [ -z \"$SSH_PASSWORD\" ]; then\n                echo \"❌ Both username and password are required\"\n                return 1\n            fi\n\n            # Export environment variables\n            export SSH_USERNAME\n            export SSH_PASSWORD\n\n            # Add to .env file\n            update_env_var \"SSH_USERNAME\" \"$SSH_USERNAME\"\n            update_env_var \"SSH_PASSWORD\" \"$SSH_PASSWORD\"\n\n            echo \"   ✅ SSH credentials configured successfully!\"\n            echo \"      👤 Username: $SSH_USERNAME\"\n            echo \"      🔑 Password: [HIDDEN]\"\n            echo \"      ⚙️  Authentication: Password-based\"\n        fi\n        echo \"\"\n    else\n        ENABLE_TERMINAL_SAVED=\"N\"\n        export ENABLE_TERMINAL_TOOL_CONTAINER=\"false\"\n        echo \"🚫 Terminal tool container disabled\"\n    fi\n    echo \"\"\n    echo \"--------------------------------\"\n    echo \"\"\n}\n\ncheck_super_admin_user_exists() {\n  # Check if super admin user exists in Supabase\n  local email=\"suadmin@nexent.com\"\n  local curl_container=\"nexent-config\"\n\n  # Determine which container to use for curl command\n  if [ \"$DEPLOYMENT_MODE\" = \"infrastructure\" ] || ! docker ps | grep -q \"nexent-config\"; then\n    if docker ps | grep -q \"supabase-db-mini\"; then\n      curl_container=\"supabase-db-mini\"\n    else\n      echo \"   ⚠️  Warning: Cannot check user existence - no suitable container available\"\n      return 2  # Unknown status\n    fi\n  fi\n\n  # Try to query Supabase auth.users table directly (most reliable)\n  if [ \"$DEPLOYMENT_VERSION\" = \"full\" ] && docker ps | grep -q \"supabase-db-mini\"; then\n    local user_exists\n    user_exists=$(docker exec supabase-db-mini psql -U postgres -d \"$SUPABASE_POSTGRES_DB\" -t -c \"SELECT COUNT(*) FROM auth.users WHERE email = '${email}';\" 2>/dev/null | tr -d '[:space:]')\n    if [ \"$user_exists\" = \"1\" ]; then\n      return 0  # User exists\n    elif [ \"$user_exists\" = \"0\" ]; then\n      return 1  # User does not exist\n    fi\n  fi\n\n  # Fallback: Try to sign in with a dummy password to check if user exists\n  # This is less reliable but works when database access is not available\n  local test_response\n  test_response=$(docker exec \"$curl_container\" bash -c \"curl -s -X POST http://kong:8000/auth/v1/token?grant_type=password -H \\\"apikey: ${SUPABASE_KEY}\\\" -H \\\"Content-Type: application/json\\\" -d '{\\\"email\\\":\\\"${email}\\\",\\\"password\\\":\\\"dummy_password_check\\\"}'\" 2>/dev/null)\n\n  if echo \"$test_response\" | grep -q '\"error_code\":\"invalid_credentials\"'; then\n    return 0  # User exists (wrong password means user exists)\n  elif echo \"$test_response\" | grep -q '\"error_code\":\"email_not_confirmed\"'; then\n    return 0  # User exists\n  else\n    return 1  # User likely does not exist\n  fi\n}\n\nprompt_super_admin_password() {\n  # Prompt user to enter password for super admin user with confirmation\n  # Note: All prompts go to stderr, only password is returned via stdout\n  local password=\"\"\n  local password_confirm=\"\"\n  local max_attempts=3\n  local attempts=0\n\n  echo \"\" >&2\n  echo \"🔐 Super Admin User Password Setup\" >&2\n  echo \"   Email: suadmin@nexent.com\" >&2\n  echo \"\" >&2\n\n  while [ $attempts -lt $max_attempts ]; do\n    # First password input\n    echo \"   🔐 Please enter password for super admin user:\" >&2\n    read -s password\n    echo \"\" >&2\n\n    # Check if password is empty\n    if [ -z \"$password\" ]; then\n      echo \"   ❌ Password cannot be empty. Please try again.\" >&2\n      attempts=$((attempts + 1))\n      continue\n    fi\n\n    # Confirm password input\n    echo \"   🔐 Please confirm the password:\" >&2\n    read -s password_confirm\n    echo \"\" >&2\n\n    # Check if passwords match\n    if [ \"$password\" != \"$password_confirm\" ]; then\n      echo \"   ❌ Passwords do not match. Please try again.\" >&2\n      attempts=$((attempts + 1))\n      continue\n    fi\n\n    # Passwords match, return the password via stdout\n    echo \"$password\"\n    return 0\n  done\n\n  # Max attempts reached\n  echo \"   ❌ Maximum attempts reached. Failed to set password.\" >&2\n  return 1\n}\n\ncreate_default_super_admin_user() {\n  # Call the dedicated script for creating super admin user\n  local script_path=\"$SCRIPT_DIR/create-su.sh\"\n  local email=\"suadmin@nexent.com\"\n\n  if [ ! -f \"$script_path\" ]; then\n    echo \"   ❌ ERROR create-su.sh not found at $script_path\"\n    return 1\n  fi\n\n  # Make sure the script is executable\n  chmod +x \"$script_path\"\n\n  # Check if super admin user already exists\n  echo \"\"\n  echo \"🔍 Checking if super admin user exists...\"\n  local check_result\n  check_super_admin_user_exists\n  check_result=$?\n\n  if [ $check_result -eq 0 ]; then\n    echo \"   ✅ Super admin user (${email}) already exists.\"\n    echo \"   💡 Skipping user creation. If you need to reset the password, please do so manually.\"\n    return 0\n  elif [ $check_result -eq 1 ]; then\n    echo \"   ℹ️  Super admin user (${email}) does not exist. Proceeding with creation...\"\n  else\n    echo \"   ⚠️  Warning: Could not determine if user exists. Proceeding with creation...\"\n  fi\n\n  # Prompt for password\n  local password\n  password=\"$(prompt_super_admin_password)\"\n  local prompt_result=$?\n\n  if [ $prompt_result -ne 0 ] || [ -z \"$password\" ]; then\n    echo \"   ❌ Failed to get password from user.\"\n    return 1\n  fi\n\n  # Export necessary environment variables for the script\n  export SUPABASE_KEY\n  export POSTGRES_USER\n  export POSTGRES_DB\n  export DEPLOYMENT_VERSION\n  export SUPABASE_POSTGRES_DB\n  export DEPLOYMENT_MODE\n\n  # Execute the script with password as argument\n  if bash \"$script_path\" \"$password\"; then\n    return 0\n  else\n    return 1\n  fi\n}\n\nchoose_image_env() {\n  if [ -n \"$IS_MAINLAND\" ]; then\n    is_mainland=\"$IS_MAINLAND\"\n    echo \"🌏 Using is_mainland from argument: $is_mainland\"\n  else\n    read -p \"🌏 Is your server network located in mainland China? [Y/N] (default N): \" is_mainland\n  fi\n\n  # Sanitize potential Windows CR in input\n  is_mainland=$(sanitize_input \"$is_mainland\")\n  if [[ \"$is_mainland\" =~ ^[Yy]$ ]]; then\n    IS_MAINLAND_SAVED=\"Y\"\n    echo \"🌐 Detected mainland China network, using .env.mainland for image sources.\"\n    source .env.mainland\n  else\n    IS_MAINLAND_SAVED=\"N\"\n    echo \"🌐 Using general image sources from .env.general.\"\n    source .env.general\n  fi\n\n  echo \"\"\n  echo \"--------------------------------\"\n  echo \"\"\n}\n\nmain_deploy() {\n  # Main deployment function\n  echo  \"🚀 Nexent Deployment Script 🚀\"\n  echo \"\"\n  echo \"--------------------------------\"\n  echo \"\"\n\n  APP_VERSION=\"$(get_app_version)\"\n  if [ -z \"$APP_VERSION\" ]; then\n    echo \"❌ Failed to get app version, please check the backend/consts/const.py file\"\n    exit 1\n  fi\n  echo \"🌐 App version: $APP_VERSION\"\n\n  # Check all relevant ports from environment files before starting deployment\n  check_ports_in_env_files\n\n  # Select deployment version, mode and image source\n  select_deployment_version || { echo \"❌ Deployment version selection failed\"; exit 1; }\n  select_deployment_mode || { echo \"❌ Deployment mode selection failed\"; exit 1; }\n  select_terminal_tool || { echo \"❌ Terminal tool container configuration failed\"; exit 1; }\n  choose_image_env || { echo \"❌ Image environment setup failed\"; exit 1; }\n\n  # Set NEXENT_MCP_DOCKER_IMAGE in .env file\n  if [ -n \"${NEXENT_MCP_DOCKER_IMAGE:-}\" ]; then\n    update_env_var \"NEXENT_MCP_DOCKER_IMAGE\" \"${NEXENT_MCP_DOCKER_IMAGE}\"\n    echo \"🔧 NEXENT_MCP_DOCKER_IMAGE set to: ${NEXENT_MCP_DOCKER_IMAGE}\"\n  else\n    echo \"⚠️  NEXENT_MCP_DOCKER_IMAGE not found in environment, will use default from code\"\n  fi\n\n  # Add permission\n  prepare_directory_and_data || { echo \"❌ Permission setup failed\"; exit 1; }\n  generate_minio_ak_sk || { echo \"❌ MinIO key generation failed\"; exit 1; }\n\n\n  # Generate Supabase secrets\n  generate_supabase_keys || { echo \"❌ Supabase secrets generation failed\"; exit 1; }\n\n  # Deploy infrastructure services\n  deploy_infrastructure || { echo \"❌ Infrastructure deployment failed\"; exit 1; }\n\n  # Generate Elasticsearch API key\n  generate_elasticsearch_api_key || { echo \"❌ Elasticsearch API key generation failed\"; exit 1; }\n\n  echo \"\"\n  echo \"--------------------------------\"\n  echo \"\"\n\n  # Special handling for infrastructure mode\n  if [ \"$DEPLOYMENT_MODE\" = \"infrastructure\" ]; then\n    generate_env_for_infrastructure || { echo \"❌ Environment generation failed\"; exit 1; }\n\n    # Create default super admin user (only for full version)\n    if [ \"$DEPLOYMENT_VERSION\" = \"full\" ]; then\n      create_default_super_admin_user || { echo \"❌ Default super admin user creation failed\"; exit 1; }\n    fi\n\n    echo \"🎉 Infrastructure deployment completed successfully!\"\n    echo \"     You can now start the core services manually using dev containers\"\n    echo \"     Environment file available at: $(cd .. && pwd)/.env\"\n    echo \"💡 Use 'source .env' to load environment variables in your development shell\"\n\n    # Pull MCP image for later use\n    pull_mcp_image\n\n    persist_deploy_options\n    return 0\n  fi\n\n  # Start core services\n  deploy_core_services || { echo \"❌ Core services deployment failed\"; exit 1; }\n\n  echo \"   ✅ Core services started successfully\"\n  echo \"\"\n  echo \"--------------------------------\"\n  echo \"\"\n\n  # Create default super admin user\n  if [ \"$DEPLOYMENT_VERSION\" = \"full\" ]; then\n    create_default_super_admin_user || { echo \"❌ Default super admin user creation failed\"; exit 1; }\n  fi\n\n  persist_deploy_options\n\n  # Pull MCP image for later use\n  pull_mcp_image\n\n  echo \"🎉  Deployment completed successfully!\"\n  echo \"🌐  You can now access the application at http://localhost:3000\"\n}\n\n# get docker compose version\nversion_info=$(get_compose_version)\nif [[ $version_info == \"unknown\" ]]; then\n    echo \"Error: Docker Compose not found or version detection failed\"\n    exit 1\nfi\n\n# extract version\nversion_type=$(echo \"$version_info\" | awk '{print $1}')\nversion_number=$(echo \"$version_info\" | awk '{print $2}')\n\n# define docker compose command\ndocker_compose_command=\"\"\ncase $version_type in\n    \"v1\")\n        echo \"Detected Docker Compose V1, version: $version_number\"\n        # The version ​​v1.28.0​​ is the minimum requirement in Docker Compose v1 that explicitly supports interpolation syntax with default values like ${VAR:-default}\n        if [[ $version_number < \"1.28.0\" ]]; then\n            echo \"Warning: V1 version is too old, consider upgrading to V2\"\n            exit 1\n        fi\n        docker_compose_command=\"docker-compose\"\n        ;;\n    \"v2\")\n        echo \"Detected Docker Compose V2, version: $version_number\"\n        docker_compose_command=\"docker compose\"\n        ;;\n    *)\n        echo \"Error: Unknown docker compose version type.\"\n        exit 1\n        ;;\nesac\n\n# Execute main deployment with error handling\nif ! main_deploy; then\n  echo \"❌ Deployment failed. Please check the error messages above and try again.\"\n  exit 1\nfi\n\nclean\n"
  },
  {
    "path": "docker/docker-compose-monitoring.yml",
    "content": "services:\n  # Jaeger - Distributed Tracing\n  jaeger:\n    image: jaegertracing/all-in-one:1.52\n    container_name: nexent-jaeger\n    ports:\n      - \"16686:16686\"  # Jaeger UI\n      - \"14268:14268\"  # Jaeger collector HTTP\n      - \"14250:14250\"  # Jaeger collector gRPC\n      - \"6831:6831/udp\"  # Agent UDP\n      - \"6832:6832/udp\"  # Agent UDP\n    environment:\n      - COLLECTOR_OTLP_ENABLED=true\n      - COLLECTOR_ZIPKIN_HOST_PORT=:9411\n    networks:\n      - nexent-network\n    restart: unless-stopped\n    volumes:\n      - jaeger-data:/tmp\n\n  # Prometheus - Metrics Collection\n  prometheus:\n    image: prom/prometheus:v2.48.0\n    container_name: nexent-prometheus\n    ports:\n      - \"9090:9090\"\n    command:\n      - '--config.file=/etc/prometheus/prometheus.yml'\n      - '--storage.tsdb.path=/prometheus'\n      - '--web.console.libraries=/etc/prometheus/console_libraries'\n      - '--web.console.templates=/etc/prometheus/consoles'\n      - '--storage.tsdb.retention.time=15d'\n      - '--web.enable-lifecycle'\n      - '--web.enable-admin-api'\n    volumes:\n      - ./monitoring/prometheus.yml:/etc/prometheus/prometheus.yml\n      - prometheus-data:/prometheus\n    networks:\n      - nexent-network\n    restart: unless-stopped\n\n  # Grafana - Metrics Visualization\n  grafana:\n    image: grafana/grafana:10.2.0\n    container_name: nexent-grafana\n    ports:\n      - \"3005:3000\"\n    environment:\n      - GF_SECURITY_ADMIN_PASSWORD=admin\n      - GF_USERS_ALLOW_SIGN_UP=false\n      - GF_INSTALL_PLUGINS=grafana-piechart-panel\n    volumes:\n      - grafana-data:/var/lib/grafana\n      - ./monitoring/grafana/provisioning:/etc/grafana/provisioning\n      - ./monitoring/grafana/dashboards:/var/lib/grafana/dashboards\n    networks:\n      - nexent-network\n    restart: unless-stopped\n    depends_on:\n      - prometheus\n\n  # OpenTelemetry Collector (Optional - for advanced setups)\n  otel-collector:\n    image: otel/opentelemetry-collector-contrib:0.89.0\n    container_name: nexent-otel-collector\n    command: [\"--config=/etc/otel-collector-config.yml\"]\n    volumes:\n      - ./monitoring/otel-collector-config.yml:/etc/otel-collector-config.yml\n    ports:\n      - \"4317:4317\"   # OTLP gRPC receiver\n      - \"4318:4318\"   # OTLP HTTP receiver\n      - \"8888:8888\"   # Prometheus metrics exposed by the collector\n      - \"8889:8889\"   # Prometheus exporter metrics\n    depends_on:\n      - jaeger\n      - prometheus\n    networks:\n      - nexent-network\n    restart: unless-stopped\n\nvolumes:\n  jaeger-data:\n  prometheus-data:\n  grafana-data:\n\nnetworks:\n  nexent-network:\n    external: true\n"
  },
  {
    "path": "docker/docker-compose-supabase.prod.yml",
    "content": "services:\n  kong:\n    container_name: supabase-kong-mini\n    image: ${SUPABASE_KONG}\n    restart: unless-stopped\n    volumes:\n      - $ROOT_DIR/volumes/api/kong.yml:/home/kong/temp.yml\n    networks:\n      - nexent\n    depends_on:\n      db:\n        condition: service_healthy\n    environment:\n      KONG_DATABASE: \"off\"\n      KONG_DECLARATIVE_CONFIG: /home/kong/kong.yml\n      KONG_DNS_ORDER: LAST,A,CNAME\n      KONG_PLUGINS: request-transformer,cors,key-auth,acl,basic-auth\n      KONG_NGINX_PROXY_PROXY_BUFFER_SIZE: 160k\n      KONG_NGINX_PROXY_PROXY_BUFFERS: 64 160k\n      SUPABASE_ANON_KEY: ${SUPABASE_KEY}\n      SUPABASE_SERVICE_KEY: ${SERVICE_ROLE_KEY}\n      DASHBOARD_USERNAME: ${DASHBOARD_USERNAME}\n      DASHBOARD_PASSWORD: ${DASHBOARD_PASSWORD}\n    entrypoint: bash -c 'eval \"echo \\\"$$(cat ~/temp.yml)\\\"\" > ~/kong.yml && /docker-entrypoint.sh kong docker-start'\n    healthcheck:\n      test: [\"CMD\", \"kong\", \"health\"]\n      interval: 10s\n      timeout: 10s\n      retries: 5\n    logging:\n      driver: \"json-file\"\n      options:\n        max-size: \"5m\"\n        max-file: \"3\"\n\n  auth:\n    container_name: supabase-auth-mini\n    image: ${SUPABASE_GOTRUE}\n    restart: unless-stopped\n    healthcheck:\n      test:\n        [\n          \"CMD\",\n          \"wget\",\n          \"--no-verbose\",\n          \"--tries=1\",\n          \"--spider\",\n          \"http://localhost:9999/health\"\n        ]\n      timeout: 10s\n      interval: 10s\n      retries: 5\n    networks:\n      - nexent\n    depends_on:\n      db:\n        condition: service_healthy\n    environment:\n      GOTRUE_API_HOST: 0.0.0.0\n      GOTRUE_API_PORT: 9999\n      API_EXTERNAL_URL: ${API_EXTERNAL_URL}\n      GOTRUE_DB_DRIVER: postgres\n      GOTRUE_DB_DATABASE_URL: postgres://supabase_auth_admin:${SUPABASE_POSTGRES_PASSWORD}@${SUPABASE_POSTGRES_HOST}:${SUPABASE_POSTGRES_PORT}/${SUPABASE_POSTGRES_DB}\n      GOTRUE_SITE_URL: http://nexent:3000\n      JWT_EXPIRY: ${JWT_EXPIRY}\n      DISABLE_SIGNUP: ${DISABLE_SIGNUP}\n      GOTRUE_DISABLE_SIGNUP: ${DISABLE_SIGNUP}\n      GOTRUE_JWT_ADMIN_ROLES: service_role\n      GOTRUE_JWT_AUD: authenticated\n      GOTRUE_JWT_DEFAULT_GROUP_NAME: authenticated\n      GOTRUE_JWT_EXP: ${JWT_EXPIRY}\n      GOTRUE_JWT_SECRET: ${JWT_SECRET}\n      GOTRUE_EXTERNAL_EMAIL_ENABLED: ${ENABLE_EMAIL_SIGNUP}\n      GOTRUE_EXTERNAL_ANONYMOUS_USERS_ENABLED: ${ENABLE_ANONYMOUS_USERS}\n      GOTRUE_MAILER_AUTOCONFIRM: ${ENABLE_EMAIL_AUTOCONFIRM}\n      GOTRUE_MAILER_URLPATHS_INVITE: ${MAILER_URLPATHS_INVITE}\n      GOTRUE_MAILER_URLPATHS_CONFIRMATION: ${MAILER_URLPATHS_CONFIRMATION}\n      GOTRUE_MAILER_URLPATHS_RECOVERY: ${MAILER_URLPATHS_RECOVERY}\n      GOTRUE_MAILER_URLPATHS_EMAIL_CHANGE: ${MAILER_URLPATHS_EMAIL_CHANGE}\n      GOTRUE_EXTERNAL_PHONE_ENABLED: ${ENABLE_PHONE_SIGNUP}\n      GOTRUE_SMS_AUTOCONFIRM: ${ENABLE_PHONE_AUTOCONFIRM}\n    logging:\n      driver: \"json-file\"\n      options:\n        max-size: \"5m\"\n        max-file: \"3\"\n\n  db:\n    container_name: supabase-db-mini\n    image: ${SUPABASE_DB}\n    restart: unless-stopped\n    volumes:\n      - $ROOT_DIR/volumes/db/realtime.sql:/docker-entrypoint-initdb.d/migrations/99-realtime.sql\n      - $ROOT_DIR/volumes/db/webhooks.sql:/docker-entrypoint-initdb.d/init-scripts/98-webhooks.sql\n      - $ROOT_DIR/volumes/db/roles.sql:/docker-entrypoint-initdb.d/init-scripts/99-roles.sql\n      - $ROOT_DIR/volumes/db/jwt.sql:/docker-entrypoint-initdb.d/init-scripts/99-jwt.sql\n      - $ROOT_DIR/volumes/db/data:/var/lib/postgresql/data\n      - $ROOT_DIR/volumes/db/_supabase.sql:/docker-entrypoint-initdb.d/migrations/97-_supabase.sql\n      - $ROOT_DIR/volumes/logs:/var/log/postgresql\n      - db-config:/etc/postgresql-custom\n    networks:\n      - nexent\n    healthcheck:\n      test:\n        [\n        \"CMD\",\n        \"pg_isready\",\n        \"-U\",\n        \"postgres\",\n        \"-h\",\n        \"localhost\"\n        ]\n      interval: 10s\n      timeout: 10s\n      retries: 5\n    environment:\n      POSTGRES_HOST: /var/run/postgresql\n      PGPORT: ${SUPABASE_POSTGRES_PORT}\n      POSTGRES_PORT: ${SUPABASE_POSTGRES_PORT}\n      PGPASSWORD: ${SUPABASE_POSTGRES_PASSWORD}\n      POSTGRES_PASSWORD: ${SUPABASE_POSTGRES_PASSWORD}\n      PGDATABASE: ${SUPABASE_POSTGRES_DB}\n      POSTGRES_DB: ${SUPABASE_POSTGRES_DB}\n      JWT_SECRET: ${JWT_SECRET}\n      JWT_EXP: ${JWT_EXPIRY}\n    command:\n      [\n        \"postgres\",\n        \"-c\",\n        \"config_file=/etc/postgresql/postgresql.conf\",\n        \"-c\",\n        \"log_min_messages=fatal\"\n      ]\n    logging:\n      driver: \"json-file\"\n      options:\n        max-size: \"5m\"\n        max-file: \"3\"\n\nvolumes:\n  db-config:\n\nnetworks:\n  nexent:\n    driver: bridge"
  },
  {
    "path": "docker/docker-compose-supabase.yml",
    "content": "services:\n  kong:\n    container_name: supabase-kong-mini\n    image: ${SUPABASE_KONG}\n    restart: unless-stopped\n    ports:\n      - \"8000:8000/tcp\"\n      - \"8443:8443/tcp\"\n    volumes:\n      - $ROOT_DIR/volumes/api/kong.yml:/home/kong/temp.yml\n    networks:\n      - nexent\n    depends_on:\n      db:\n        condition: service_healthy\n    environment:\n      KONG_DATABASE: \"off\"\n      KONG_DECLARATIVE_CONFIG: /home/kong/kong.yml\n      KONG_DNS_ORDER: LAST,A,CNAME\n      KONG_PLUGINS: request-transformer,cors,key-auth,acl,basic-auth\n      KONG_NGINX_PROXY_PROXY_BUFFER_SIZE: 160k\n      KONG_NGINX_PROXY_PROXY_BUFFERS: 64 160k\n      SUPABASE_ANON_KEY: ${SUPABASE_KEY}\n      SUPABASE_SERVICE_KEY: ${SERVICE_ROLE_KEY}\n      DASHBOARD_USERNAME: ${DASHBOARD_USERNAME}\n      DASHBOARD_PASSWORD: ${DASHBOARD_PASSWORD}\n    entrypoint: bash -c 'eval \"echo \\\"$$(cat ~/temp.yml)\\\"\" > ~/kong.yml && /docker-entrypoint.sh kong docker-start'\n    healthcheck:\n      test: [\"CMD\", \"kong\", \"health\"]\n      interval: 10s\n      timeout: 10s\n      retries: 5\n    logging:\n      driver: \"json-file\"\n      options:\n        max-size: \"5m\"\n        max-file: \"3\"\n\n  auth:\n    container_name: supabase-auth-mini\n    image: ${SUPABASE_GOTRUE}\n    restart: unless-stopped\n    healthcheck:\n      test:\n        [\n          \"CMD\",\n          \"wget\",\n          \"--no-verbose\",\n          \"--tries=1\",\n          \"--spider\",\n          \"http://localhost:9999/health\"\n        ]\n      timeout: 10s\n      interval: 10s\n      retries: 5\n    networks:\n      - nexent\n    depends_on:\n      db:\n        condition: service_healthy\n    environment:\n      GOTRUE_API_HOST: 0.0.0.0\n      GOTRUE_API_PORT: 9999\n      API_EXTERNAL_URL: ${API_EXTERNAL_URL}\n      GOTRUE_DB_DRIVER: postgres\n      GOTRUE_DB_DATABASE_URL: postgres://supabase_auth_admin:${SUPABASE_POSTGRES_PASSWORD}@${SUPABASE_POSTGRES_HOST}:${SUPABASE_POSTGRES_PORT}/${SUPABASE_POSTGRES_DB}\n      GOTRUE_SITE_URL: ${SITE_URL}\n      GOTRUE_URI_ALLOW_LIST: ${ADDITIONAL_REDIRECT_URLS:-}\n      GOTRUE_DISABLE_SIGNUP: ${DISABLE_SIGNUP}\n      GOTRUE_JWT_ADMIN_ROLES: service_role\n      GOTRUE_JWT_AUD: authenticated\n      GOTRUE_JWT_DEFAULT_GROUP_NAME: authenticated\n      GOTRUE_JWT_EXP: ${JWT_EXPIRY}\n      GOTRUE_JWT_SECRET: ${JWT_SECRET}\n      GOTRUE_EXTERNAL_EMAIL_ENABLED: ${ENABLE_EMAIL_SIGNUP}\n      GOTRUE_EXTERNAL_ANONYMOUS_USERS_ENABLED: ${ENABLE_ANONYMOUS_USERS}\n      GOTRUE_MAILER_AUTOCONFIRM: ${ENABLE_EMAIL_AUTOCONFIRM}\n      GOTRUE_MAILER_URLPATHS_INVITE: ${MAILER_URLPATHS_INVITE}\n      GOTRUE_MAILER_URLPATHS_CONFIRMATION: ${MAILER_URLPATHS_CONFIRMATION}\n      GOTRUE_MAILER_URLPATHS_RECOVERY: ${MAILER_URLPATHS_RECOVERY}\n      GOTRUE_MAILER_URLPATHS_EMAIL_CHANGE: ${MAILER_URLPATHS_EMAIL_CHANGE}\n      GOTRUE_EXTERNAL_PHONE_ENABLED: ${ENABLE_PHONE_SIGNUP}\n      GOTRUE_SMS_AUTOCONFIRM: ${ENABLE_PHONE_AUTOCONFIRM}\n    logging:\n      driver: \"json-file\"\n      options:\n        max-size: \"5m\"\n        max-file: \"3\"\n\n  db:\n    container_name: supabase-db-mini\n    image: ${SUPABASE_DB}\n    restart: unless-stopped\n    # Expose the database port for direct connection management\n    ports:\n      - ${SUPABASE_POSTGRES_PORT}:${SUPABASE_POSTGRES_PORT}\n    volumes:\n      - $ROOT_DIR/volumes/db/realtime.sql:/docker-entrypoint-initdb.d/migrations/99-realtime.sql\n      - $ROOT_DIR/volumes/db/webhooks.sql:/docker-entrypoint-initdb.d/init-scripts/98-webhooks.sql\n      - $ROOT_DIR/volumes/db/roles.sql:/docker-entrypoint-initdb.d/init-scripts/99-roles.sql\n      - $ROOT_DIR/volumes/db/jwt.sql:/docker-entrypoint-initdb.d/init-scripts/99-jwt.sql\n      - $ROOT_DIR/volumes/db/data:/var/lib/postgresql/data\n      - $ROOT_DIR/volumes/db/_supabase.sql:/docker-entrypoint-initdb.d/migrations/97-_supabase.sql\n      - $ROOT_DIR/volumes/logs:/var/log/postgresql\n      - db-config:/etc/postgresql-custom\n    networks:\n      - nexent\n    healthcheck:\n      test:\n        [\n        \"CMD\",\n        \"pg_isready\",\n        \"-U\",\n        \"postgres\",\n        \"-h\",\n        \"localhost\"\n        ]\n      interval: 10s\n      timeout: 10s\n      retries: 5\n    environment:\n      POSTGRES_HOST: /var/run/postgresql\n      PGPORT: ${SUPABASE_POSTGRES_PORT}\n      POSTGRES_PORT: ${SUPABASE_POSTGRES_PORT}\n      PGPASSWORD: ${SUPABASE_POSTGRES_PASSWORD}\n      POSTGRES_PASSWORD: ${SUPABASE_POSTGRES_PASSWORD}\n      PGDATABASE: ${SUPABASE_POSTGRES_DB}\n      POSTGRES_DB: ${SUPABASE_POSTGRES_DB}\n      JWT_SECRET: ${JWT_SECRET}\n      JWT_EXP: ${JWT_EXPIRY}\n    command:\n      [\n        \"postgres\",\n        \"-c\",\n        \"config_file=/etc/postgresql/postgresql.conf\",\n        \"-c\",\n        \"log_min_messages=fatal\"\n      ]\n    logging:\n      driver: \"json-file\"\n      options:\n        max-size: \"5m\"\n        max-file: \"3\"\n\nvolumes:\n  db-config:\n\nnetworks:\n  nexent:\n    driver: bridge"
  },
  {
    "path": "docker/docker-compose.dev.yml",
    "content": "name: nexent\n\nservices:\n#  nexent:\n#    image: nexent/nexent:latest\n#    container_name: nexent\n#    restart: always\n#    ports:\n#      - \"5010:5010\"\n#      - \"5013:5013\"\n#    volumes:\n#      - ../:/opt/\n#      - /opt/backend/.venv/\n#      - ${NEXENT_USER_DIR:-$HOME/nexent}:/mnt/nexent\n#    environment:\n#      skip_proxy: \"true\"\n#      UMASK: 0022\n#    env_file:\n#      - .env\n#    user: root\n#    logging:\n#      driver: \"json-file\"\n#      options:\n#        max-size: \"10m\"\n#        max-file: \"3\"\n#    networks:\n#      - nexent\n#    entrypoint: \"/bin/bash\"\n#    command:\n#      - -c\n#      - |\n#        rm -rf /var/lib/apt/lists/* &&\n#        echo \"Python environment activated: $(which python)\" &&\n#        echo \"Python version: $(python --version)\" &&\n#        tail -f /dev/null\n\n\n  nexent-data-process:\n    image: nexent/nexent-data-process:latest\n    container_name: nexent-data-process\n    restart: always\n    privileged: true\n    ports:\n      - \"5012:5012\"\n    volumes:\n      - ../:/opt/:cached\n      - /opt/backend/.venv/\n      - ${ROOT_DIR}:/mnt/nexent-data\n    environment:\n      skip_proxy: \"true\"\n      PATH: \"/usr/local/bin:/usr/bin/:/opt/backend/.venv/bin:${PATH}\"\n      VIRTUAL_ENV: \"/opt/backend/.venv\"\n    env_file:\n      - .env\n    networks:\n      - nexent\n    user: root\n    logging:\n      driver: \"json-file\"\n      options:\n        max-size: \"10m\"\n        max-file: \"3\"\n    entrypoint: \"/bin/bash\"\n    command:\n      - -c\n      - |\n        cd /opt/backend &&\n        source .venv/bin/activate &&\n        echo \"Python environment activated: $(which python)\" &&\n        echo \"Python version: $(python --version)\" &&\n        python -c \"import time; time.sleep(2147483647)\"\n\n#  nexent-web:\n#    image: nexent/nexent-web:latest\n#    container_name: nexent-web\n#    restart: always\n#    networks:\n#      - nexent\n#    ports:\n#      - \"3000:3000\"\n#    volumes:\n#      - ../frontend:/opt/frontend:cached\n#      - ../frontend/node_modules:/opt/frontend/node_modules:cached\n#    environment:\n#      - HTTP_BACKEND=http://nexent:5010\n#      - WS_BACKEND=ws://nexent:5010\n#      - MINIO_ENDPOINT=${MINIO_ENDPOINT}\n#    logging:\n#      driver: \"json-file\"\n#      options:\n#        max-size: \"10m\"\n#        max-file: \"3\"\n#    command: [\"/bin/sh\", \"-c\", \"echo 'Web Service needs to be started manually. Use\\nnpm install -g pnpm\\npnpm install\\npnpm dev\\n under /opt/frontend to start.' && tail -f /dev/null\"]\n\n\nnetworks:\n  nexent:\n    driver: bridge\n"
  },
  {
    "path": "docker/docker-compose.prod.yml",
    "content": "x-es-vars: &es-vars\n  ELASTIC_PASSWORD: ${ELASTIC_PASSWORD}\nx-minio-vars: &minio-vars\n  MINIO_ACCESS_KEY: ${MINIO_ACCESS_KEY}\n  MINIO_SECRET_KEY: ${MINIO_SECRET_KEY}\n  MINIO_REGION: ${MINIO_REGION}\n  MINIO_DEFAULT_BUCKET: ${MINIO_DEFAULT_BUCKET}\nx-proxy-vars: &proxy-vars\n  HTTP_PROXY: ${HTTP_PROXY:-}\n  HTTPS_PROXY: ${HTTPS_PROXY:-}\n  NO_PROXY: ${NO_PROXY:-}\n\nservices:\n  nexent-elasticsearch:\n    image: ${ELASTICSEARCH_IMAGE}\n    container_name: nexent-elasticsearch\n    environment:\n      <<: *es-vars\n      # Single node mode\n      discovery.type: single-node\n      # Security settings\n      xpack.security.enabled: \"true\"\n      xpack.security.http.ssl.enabled: \"false\"\n      xpack.security.transport.ssl.enabled: \"false\"\n      # JVM memory settings\n      ES_JAVA_OPTS: ${ES_JAVA_OPTS}\n      # Node name\n      node.name: es01\n      # Memory lock setting\n      bootstrap.memory_lock: \"false\"\n      # Disk watermark settings\n      cluster.routing.allocation.disk.watermark.low: \"${ES_DISK_WATERMARK_LOW}\"\n      cluster.routing.allocation.disk.watermark.high: \"${ES_DISK_WATERMARK_HIGH}\"\n      cluster.routing.allocation.disk.watermark.flood_stage: \"${ES_DISK_WATERMARK_FLOOD_STAGE}\"\n    volumes:\n      - ${ROOT_DIR}/elasticsearch:/usr/share/elasticsearch/data\n    networks:\n      - nexent\n    restart: always\n    healthcheck:\n      test: [\"CMD-SHELL\", \"curl -s -u elastic:${ELASTIC_PASSWORD} -k http://localhost:9200/_cluster/health | grep -qE '\\\"status\\\":\\\"(green|yellow)\\\"' || exit 1\"]\n      interval: 5s\n      timeout: 10s\n      retries: 20\n    logging:\n      driver: \"json-file\"\n      options:\n        max-size: \"100m\"  # Maximum size of a single log file\n        max-file: \"3\"     # Maximum number of log files to keep\n\n  nexent-postgresql:\n    image: ${POSTGRESQL_IMAGE}\n    container_name: nexent-postgresql\n    environment:\n      POSTGRES_USER: ${POSTGRES_USER}\n      POSTGRES_PASSWORD: ${NEXENT_POSTGRES_PASSWORD}\n      POSTGRES_DB: ${POSTGRES_DB}\n    volumes:\n      - ${ROOT_DIR}/postgresql/data:/var/lib/postgresql/data\n      - ./init.sql:/docker-entrypoint-initdb.d/init.sql\n    security_opt:\n      - seccomp:unconfined\n    restart: always\n    logging:\n      driver: \"json-file\"\n      options:\n        max-size: \"100m\"  # Maximum size of a single log file\n        max-file: \"3\"     # Maximum number of log files to keep\n    networks:\n      - nexent\n\n  nexent-config:\n    image: ${NEXENT_IMAGE}\n    container_name: nexent-config\n    restart: always\n    volumes:\n      - ${NEXENT_USER_DIR:-$HOME/nexent}:/mnt/nexent\n      - ${ROOT_DIR}/openssh-server/ssh-keys:/opt/ssh-keys:ro\n      - ${ROOT_DIR}/scripts/sync_user_supabase2pg.py:/opt/sync_user_supabase2pg.py:ro\n      - /var/run/docker.sock:/var/run/docker.sock:ro # Docker socket for MCP container management\n    environment:\n      <<: [*minio-vars, *es-vars]\n      skip_proxy: \"true\"\n      UMASK: 0022\n    env_file:\n      - .env\n    user: root\n    depends_on:\n      nexent-elasticsearch:\n        condition: service_healthy\n    logging:\n      driver: \"json-file\"\n      options:\n        max-size: \"10m\"  # Maximum size of a single log file\n        max-file: \"3\"    # Maximum number of log files to keep\n    networks:\n      - nexent\n    entrypoint: [\"/bin/bash\", \"-c\", \"python backend/config_service.py\"]\n\n  nexent-runtime:\n    image: ${NEXENT_IMAGE}\n    container_name: nexent-runtime\n    restart: always\n    volumes:\n      - ${NEXENT_USER_DIR:-$HOME/nexent}:/mnt/nexent\n      - ${ROOT_DIR}/openssh-server/ssh-keys:/opt/ssh-keys:ro\n    environment:\n      <<: [*minio-vars, *es-vars]\n      skip_proxy: \"true\"\n      UMASK: 0022\n    env_file:\n      - .env\n    user: root\n    depends_on:\n      nexent-elasticsearch:\n        condition: service_healthy\n    logging:\n      driver: \"json-file\"\n      options:\n        max-size: \"10m\"  # Maximum size of a single log file\n        max-file: \"3\"    # Maximum number of log files to keep\n    networks:\n      - nexent\n    entrypoint: [\"/bin/bash\", \"-c\", \"python backend/runtime_service.py\"]\n\n  nexent-mcp:\n    image: ${NEXENT_IMAGE}\n    container_name: nexent-mcp\n    restart: always\n    volumes:\n      - ${NEXENT_USER_DIR:-$HOME/nexent}:/mnt/nexent\n      - ${ROOT_DIR}/openssh-server/ssh-keys:/opt/ssh-keys:ro\n    environment:\n      <<: [*minio-vars, *es-vars]\n      skip_proxy: \"true\"\n      UMASK: 0022\n    env_file:\n      - .env\n    user: root\n    depends_on:\n      nexent-elasticsearch:\n        condition: service_healthy\n    logging:\n      driver: \"json-file\"\n      options:\n        max-size: \"10m\"  # Maximum size of a single log file\n        max-file: \"3\"    # Maximum number of log files to keep\n    networks:\n      - nexent\n    entrypoint: [\"/bin/bash\", \"-c\", \"python backend/mcp_service.py\"]\n\n  nexent-northbound:\n    image: ${NEXENT_IMAGE}\n    container_name: nexent-northbound\n    restart: always\n    volumes:\n      - ${NEXENT_USER_DIR:-$HOME/nexent}:/mnt/nexent\n      - ${ROOT_DIR}/openssh-server/ssh-keys:/opt/ssh-keys:ro\n    environment:\n      <<: [*minio-vars, *es-vars]\n      skip_proxy: \"true\"\n      UMASK: 0022\n    env_file:\n      - .env\n    user: root\n    depends_on:\n      nexent-elasticsearch:\n        condition: service_healthy\n    logging:\n      driver: \"json-file\"\n      options:\n        max-size: \"10m\"  # Maximum size of a single log file\n        max-file: \"3\"    # Maximum number of log files to keep\n    networks:\n      - nexent\n    entrypoint: [\"/bin/bash\", \"-c\", \"python backend/northbound_service.py\"]\n\n  nexent-web:\n    image: ${NEXENT_WEB_IMAGE}\n    container_name: nexent-web\n    restart: always\n    networks:\n      - nexent\n    ports:\n      - \"3000:3000\"\n    environment:\n      - HTTP_BACKEND=http://nexent-config:5010\n      - WS_BACKEND=ws://nexent-runtime:5014\n      - RUNTIME_HTTP_BACKEND=http://nexent-runtime:5014\n      - MINIO_ENDPOINT=http://nexent-minio:9000\n      - MARKET_BACKEND=https://market.nexent.tech\n    logging:\n      driver: \"json-file\"\n      options:\n        max-size: \"10m\"  # Maximum size of a single log file\n        max-file: \"3\"    # Maximum number of log files to keep\n\n  nexent-data-process:\n    image: ${NEXENT_DATA_PROCESS_IMAGE}\n    container_name: nexent-data-process\n    command: bash\n    restart: always\n    privileged: true\n    volumes:\n      - ${NEXENT_USER_DIR:-$HOME/nexent}:/mnt/nexent\n    environment:\n      <<: [*proxy-vars, *es-vars, *minio-vars]\n      DOCKER_ENVIRONMENT: \"true\"\n      DISABLE_RAY_DASHBOARD: ${DISABLE_RAY_DASHBOARD:-false}\n      DISABLE_CELERY_FLOWER: ${DISABLE_CELERY_FLOWER:-false}\n      PYTHONPATH: \"/opt/backend\"\n      skip_proxy: \"true\"\n    env_file:\n      - .env\n    depends_on:\n      redis:\n        condition: service_healthy\n      nexent-elasticsearch:\n        condition: service_healthy\n    logging:\n      driver: \"json-file\"\n      options:\n        max-size: \"10m\"  # Maximum size of a single log file\n        max-file: \"3\"    # Maximum number of log files to keep\n    networks:\n      - nexent\n    entrypoint: >\n      /bin/sh -c \"\n        python /opt/backend/data_process_service.py || (cd /opt/backend && OPENBLAS_NUM_THREADS=1 UVICORN_LOOP=asyncio uvicorn data_process_service:app --host 0.0.0.0 --port 5012)\n      \"\n\n  redis:\n    image: ${REDIS_IMAGE}\n    container_name: nexent-redis\n    command: redis-server --appendonly yes --appendfsync everysec --save \"900 1\" --save \"300 10\" --save \"60 10000\" --dir /data --maxmemory-policy allkeys-lru\n    volumes:\n      - ${ROOT_DIR}/redis:/data\n    healthcheck:\n      test: [ \"CMD\", \"redis-cli\", \"ping\" ]\n      interval: 5s\n      timeout: 5s\n      retries: 5\n    restart: always\n    networks:\n      - nexent\n\n  nexent-minio:\n    image: ${MINIO_IMAGE}\n    container_name: nexent-minio\n    command: server /data\n    environment:\n      <<: [*minio-vars, *proxy-vars]\n      MINIO_ROOT_USER: ${MINIO_ROOT_USER}\n      MINIO_ROOT_PASSWORD: ${MINIO_ROOT_PASSWORD}\n    volumes:\n      - ${ROOT_DIR}/minio/data:/etc/minio/data\n    networks:\n      - nexent\n    restart: always\n    logging:\n      driver: \"json-file\"\n      options:\n        max-size: \"100m\"  # Maximum size of a single log file\n        max-file: \"3\"     # Maximum number of log files to keep\n    entrypoint: >\n      /bin/sh -c \"\n        minio server /etc/minio/data --address ':9000' --console-address ':9001' &\n        MINIO_PID=$$!\n        sleep 3\n        mc alias set myadmin http://localhost:9000 $MINIO_ROOT_USER $MINIO_ROOT_PASSWORD\n        mc admin user add myadmin $MINIO_ACCESS_KEY $MINIO_SECRET_KEY\n        mc admin policy attach myadmin readwrite --user=$MINIO_ACCESS_KEY\n        mc mb myadmin/$MINIO_DEFAULT_BUCKET\n        mc anonymous set download myadmin/$MINIO_DEFAULT_BUCKET\n        mc ilm rule add myadmin/$MINIO_DEFAULT_BUCKET --prefix 'preview/' --expiry-days 7 --id expire-converted-pdfs\n        wait $$MINIO_PID\n      \"\n\n  nexent-openssh-server:\n    image: ${OPENSSH_SERVER_IMAGE}\n    container_name: nexent-openssh-server\n    hostname: nexent-openssh-server\n    environment:\n      - DEV_USER=${SSH_USERNAME:-linuxserver.io}\n      - DEV_PASSWORD=${SSH_PASSWORD:-nexent123}\n    volumes:\n      - ${TERMINAL_MOUNT_DIR:-./workspace}:/opt/terminal\n    networks:\n      - nexent\n    restart: always\n    logging:\n      driver: \"json-file\"\n      options:\n        max-size: \"10m\"  # Maximum size of a single log file\n        max-file: \"3\"    # Maximum number of log files to keep\n    profiles:\n      - terminal\n\nnetworks:\n  nexent:\n    driver: bridge\n\nvolumes:\n  redis_data:\n"
  },
  {
    "path": "docker/docker-compose.yml",
    "content": "x-es-vars: &es-vars\n  ELASTIC_PASSWORD: ${ELASTIC_PASSWORD}\nx-minio-vars: &minio-vars\n  MINIO_ACCESS_KEY: ${MINIO_ACCESS_KEY}\n  MINIO_SECRET_KEY: ${MINIO_SECRET_KEY}\n  MINIO_REGION: ${MINIO_REGION}\n  MINIO_DEFAULT_BUCKET: ${MINIO_DEFAULT_BUCKET}\nx-proxy-vars: &proxy-vars\n  HTTP_PROXY: ${HTTP_PROXY:-}\n  HTTPS_PROXY: ${HTTPS_PROXY:-}\n  NO_PROXY: ${NO_PROXY:-}\n\nservices:\n  nexent-elasticsearch:\n    image: ${ELASTICSEARCH_IMAGE}\n    container_name: nexent-elasticsearch\n    environment:\n      ELASTIC_PASSWORD: ${ELASTIC_PASSWORD}\n      # Single node mode\n      discovery.type: single-node\n      # Security settings\n      xpack.security.enabled: \"true\"\n      xpack.security.http.ssl.enabled: \"false\"\n      xpack.security.transport.ssl.enabled: \"false\"\n      # JVM memory settings\n      ES_JAVA_OPTS: ${ES_JAVA_OPTS}\n      # Node name\n      node.name: es01\n      # Memory lock setting\n      bootstrap.memory_lock: \"false\"\n      # Disk watermark settings\n      cluster.routing.allocation.disk.watermark.low: \"${ES_DISK_WATERMARK_LOW}\"\n      cluster.routing.allocation.disk.watermark.high: \"${ES_DISK_WATERMARK_HIGH}\"\n      cluster.routing.allocation.disk.watermark.flood_stage: \"${ES_DISK_WATERMARK_FLOOD_STAGE}\"\n    volumes:\n      - ${ROOT_DIR}/elasticsearch:/usr/share/elasticsearch/data\n    ports:\n      - \"9210:9200\" # HTTP API\n      - \"9310:9300\" # Cluster communication port\n    networks:\n      - nexent\n    restart: always\n    healthcheck:\n      test:\n        [\n          \"CMD-SHELL\",\n          'curl -sf -u elastic:${ELASTIC_PASSWORD} http://localhost:9200/_cluster/health | grep -qE ''\"status\":\"(green|yellow)\"'' || exit 1',\n        ]\n      interval: 5s\n      timeout: 10s\n      retries: 20\n    logging:\n      driver: \"json-file\"\n      options:\n        max-size: \"100m\" # Maximum size of a single log file\n        max-file: \"3\" # Maximum number of log files to keep\n\n  nexent-postgresql:\n    image: ${POSTGRESQL_IMAGE}\n    container_name: nexent-postgresql\n    environment:\n      POSTGRES_USER: ${POSTGRES_USER}\n      POSTGRES_PASSWORD: ${NEXENT_POSTGRES_PASSWORD}\n      POSTGRES_DB: ${POSTGRES_DB}\n    volumes:\n      - ${ROOT_DIR}/postgresql/data:/var/lib/postgresql/data\n      - ./init.sql:/docker-entrypoint-initdb.d/init.sql\n    ports:\n      - \"5434:5432\"\n    security_opt:\n      - seccomp:unconfined\n    restart: always\n    logging:\n      driver: \"json-file\"\n      options:\n        max-size: \"100m\" # Maximum size of a single log file\n        max-file: \"3\" # Maximum number of log files to keep\n    networks:\n      - nexent\n\n  nexent-config:\n    image: ${NEXENT_IMAGE}\n    container_name: nexent-config\n    restart: always\n    ports:\n      - \"5010:5010\" # Config service port\n    volumes:\n      - ${NEXENT_USER_DIR:-$HOME/nexent}:/mnt/nexent\n      - ${ROOT_DIR}/openssh-server/ssh-keys:/opt/ssh-keys:ro\n      - ${ROOT_DIR}/scripts/sync_user_supabase2pg.py:/opt/sync_user_supabase2pg.py:ro\n      - /var/run/docker.sock:/var/run/docker.sock:ro # Docker socket for MCP container management\n    environment:\n      <<: [*minio-vars, *es-vars]\n      skip_proxy: \"true\"\n      UMASK: 0022\n    env_file:\n      - .env\n    user: root\n    depends_on:\n      nexent-elasticsearch:\n        condition: service_healthy\n    logging:\n      driver: \"json-file\"\n      options:\n        max-size: \"10m\" # Maximum size of a single log file\n        max-file: \"3\" # Maximum number of log files to keep\n    networks:\n      - nexent\n    entrypoint: [\"/bin/bash\", \"-c\", \"python backend/config_service.py\"]\n\n  nexent-runtime:\n    image: ${NEXENT_IMAGE}\n    container_name: nexent-runtime\n    restart: always\n    ports:\n      - \"5014:5014\" # Runtime service port\n    volumes:\n      - ${NEXENT_USER_DIR:-$HOME/nexent}:/mnt/nexent\n      - ${ROOT_DIR}/openssh-server/ssh-keys:/opt/ssh-keys:ro\n    environment:\n      <<: [*minio-vars, *es-vars]\n      skip_proxy: \"true\"\n      UMASK: 0022\n    env_file:\n      - .env\n    user: root\n    depends_on:\n      nexent-elasticsearch:\n        condition: service_healthy\n    logging:\n      driver: \"json-file\"\n      options:\n        max-size: \"10m\" # Maximum size of a single log file\n        max-file: \"3\" # Maximum number of log files to keep\n    networks:\n      - nexent\n    entrypoint: [\"/bin/bash\", \"-c\", \"python backend/runtime_service.py\"]\n\n  nexent-mcp:\n    image: ${NEXENT_IMAGE}\n    container_name: nexent-mcp\n    restart: always\n    ports:\n      - \"5011:5011\" # MCP service port\n    volumes:\n      - ${NEXENT_USER_DIR:-$HOME/nexent}:/mnt/nexent\n      - ${ROOT_DIR}/openssh-server/ssh-keys:/opt/ssh-keys:ro\n    environment:\n      <<: [*minio-vars, *es-vars]\n      skip_proxy: \"true\"\n      UMASK: 0022\n    env_file:\n      - .env\n    user: root\n    depends_on:\n      nexent-elasticsearch:\n        condition: service_healthy\n    logging:\n      driver: \"json-file\"\n      options:\n        max-size: \"10m\" # Maximum size of a single log file\n        max-file: \"3\" # Maximum number of log files to keep\n    networks:\n      - nexent\n    entrypoint: [\"/bin/bash\", \"-c\", \"python backend/mcp_service.py\"]\n\n  nexent-northbound:\n    image: ${NEXENT_IMAGE}\n    container_name: nexent-northbound\n    restart: always\n    ports:\n      - \"5013:5013\" # Northbound service port\n    volumes:\n      - ${NEXENT_USER_DIR:-$HOME/nexent}:/mnt/nexent\n      - ${ROOT_DIR}/openssh-server/ssh-keys:/opt/ssh-keys:ro\n    environment:\n      <<: [*minio-vars, *es-vars]\n      skip_proxy: \"true\"\n      UMASK: 0022\n    env_file:\n      - .env\n    user: root\n    depends_on:\n      nexent-elasticsearch:\n        condition: service_healthy\n    logging:\n      driver: \"json-file\"\n      options:\n        max-size: \"10m\" # Maximum size of a single log file\n        max-file: \"3\" # Maximum number of log files to keep\n    networks:\n      - nexent\n    entrypoint: [\"/bin/bash\", \"-c\", \"python backend/northbound_service.py\"]\n\n  nexent-web:\n    image: ${NEXENT_WEB_IMAGE}\n    container_name: nexent-web\n    restart: always\n    networks:\n      - nexent\n    ports:\n      - \"3000:3000\"\n    environment:\n      - HTTP_BACKEND=http://nexent-config:5010\n      - WS_BACKEND=ws://nexent-runtime:5014\n      - RUNTIME_HTTP_BACKEND=http://nexent-runtime:5014\n      - MINIO_ENDPOINT=http://nexent-minio:9000\n      - MARKET_BACKEND=https://market.nexent.tech\n      - MODEL_ENGINE_ENABLED=${MODEL_ENGINE_ENABLED:-false}\n    logging:\n      driver: \"json-file\"\n      options:\n        max-size: \"10m\" # Maximum size of a single log file\n        max-file: \"3\" # Maximum number of log files to keep\n\n  nexent-data-process:\n    image: ${NEXENT_DATA_PROCESS_IMAGE}\n    container_name: nexent-data-process\n    command: bash\n    restart: always\n    privileged: true\n    ports:\n      - \"5012:5012\"\n      - \"5555:5555\" # Celery Flower port\n      - \"8265:8265\" # Ray Dashboardport\n    volumes:\n      - ${NEXENT_USER_DIR:-$HOME/nexent}:/mnt/nexent\n    environment:\n      <<: [*proxy-vars, *es-vars, *minio-vars]\n      DOCKER_ENVIRONMENT: \"true\"\n      PYTHONPATH: \"/opt/backend\"\n      skip_proxy: \"true\"\n    env_file:\n      - .env\n    depends_on:\n      redis:\n        condition: service_healthy\n      nexent-elasticsearch:\n        condition: service_healthy\n    networks:\n      - nexent\n    entrypoint: >\n      /bin/sh -c \"\n        python /opt/backend/data_process_service.py || (cd /opt/backend && OPENBLAS_NUM_THREADS=1 UVICORN_LOOP=asyncio uvicorn data_process_service:app --host 0.0.0.0 --port 5012)\n      \"\n\n    logging:\n      driver: \"json-file\"\n      options:\n        max-size: \"10m\"\n        max-file: \"3\"\n\n  redis:\n    image: ${REDIS_IMAGE}\n    container_name: nexent-redis\n    ports:\n      - \"6379:6379\"\n    command: redis-server --appendonly yes --appendfsync everysec --save \"900 1\" --save \"300 10\" --save \"60 10000\" --dir /data --maxmemory-policy allkeys-lru\n    volumes:\n      - ${ROOT_DIR}/redis:/data\n    healthcheck:\n      test: [\"CMD\", \"redis-cli\", \"ping\"]\n      interval: 5s\n      timeout: 5s\n      retries: 5\n    restart: always\n    networks:\n      - nexent\n\n  nexent-minio:\n    image: ${MINIO_IMAGE}\n    container_name: nexent-minio\n    command: server /data\n    ports:\n      - \"9010:9000\" # MinIO API port\n      - \"9011:9001\" # MinIO Console port\n    environment:\n      <<: [*minio-vars, *proxy-vars]\n      MINIO_ROOT_USER: ${MINIO_ROOT_USER}\n      MINIO_ROOT_PASSWORD: ${MINIO_ROOT_PASSWORD}\n    volumes:\n      - ${ROOT_DIR}/minio/data:/etc/minio/data\n    networks:\n      - nexent\n    restart: always\n    logging:\n      driver: \"json-file\"\n      options:\n        max-size: \"100m\" # Maximum size of a single log file\n        max-file: \"3\" # Maximum number of log files to keep\n    entrypoint: >\n      /bin/sh -c \"\n        minio server /etc/minio/data --address ':9000' --console-address ':9001' &\n        MINIO_PID=$$!\n        sleep 3\n        mc alias set myadmin http://localhost:9000 $MINIO_ROOT_USER $MINIO_ROOT_PASSWORD\n        mc admin user add myadmin $MINIO_ACCESS_KEY $MINIO_SECRET_KEY\n        mc admin policy attach myadmin readwrite --user=$MINIO_ACCESS_KEY\n        mc mb myadmin/$MINIO_DEFAULT_BUCKET\n        mc anonymous set download myadmin/$MINIO_DEFAULT_BUCKET\n        mc ilm rule add myadmin/$MINIO_DEFAULT_BUCKET --prefix 'preview/' --expiry-days 7 --id expire-converted-pdfs\n        wait $$MINIO_PID\n      \"\n\n  nexent-openssh-server:\n    image: ${OPENSSH_SERVER_IMAGE}\n    container_name: nexent-openssh-server\n    hostname: nexent-openssh-server\n    environment:\n      - DEV_USER=${SSH_USERNAME:-linuxserver.io}\n      - DEV_PASSWORD=${SSH_PASSWORD:-nexent123}\n    ports:\n      - \"2222:22\" # SSH port\n    volumes:\n      - ${TERMINAL_MOUNT_DIR:-./workspace}:/opt/terminal\n    networks:\n      - nexent\n    restart: always\n    logging:\n      driver: \"json-file\"\n      options:\n        max-size: \"10m\" # Maximum size of a single log file\n        max-file: \"3\" # Maximum number of log files to keep\n    profiles:\n      - terminal\n\nnetworks:\n  nexent:\n    driver: bridge\n\nvolumes:\n  redis_data:\n"
  },
  {
    "path": "docker/generate_env.sh",
    "content": "#!/bin/bash\n\n# Exit immediately if a command exits with a non-zero status\nset -e\necho \"   📁 Target .env location: Root directory (../)\"\n\n# Function to copy and prepare .env file\nprepare_env_file() {\n  echo \"   📝 Preparing root .env file...\"\n\n  # Check if .env already exists in root directory (parent directory)\n  if [ -f \"../.env\" ]; then\n    echo \"   ⚠️  .env already exists in root directory\"\n    echo \"\"\n    read -p \"👉 Do you want to overwrite it? [Y/N] (default: Y): \" overwrite\n    # If input is empty, use default \"Y\"\n    overwrite=${overwrite:-Y}\n    if [[ ! \"$overwrite\" =~ ^[Yy]$ ]]; then\n      echo \"   Using existing .env file\"\n      return 0\n    fi\n  fi\n\n  # Check if .env exists in current docker directory\n  if [ -f \".env\" ]; then\n    echo \"   📋 Copying docker/.env to root directory...\"\n    cp \".env\" \"../.env\"\n    echo \"   ✅ Copied docker/.env to ../.env\"\n  elif [ -f \".env.example\" ]; then\n    echo \"   📋 docker/.env not found, copying .env.example to root directory...\"\n    cp \".env.example\" \"../.env\"\n    echo \"   ✅ Copied docker/.env.example to ../.env\"\n  else\n    echo \"   ❌ ERROR Neither docker/.env nor docker/.env.example exists in docker directory\"\n    ERROR_OCCURRED=1\n    return 1\n  fi\n}\n\n# Function to update .env file with generated keys\nupdate_env_file() {\n  echo \"   📝 Updating root .env file with generated keys...\"\n\n  if [ ! -f \"../.env\" ]; then\n    echo \"   ❌ ERROR .env file does not exist in root directory\"\n    ERROR_OCCURRED=1\n    return 1\n  fi\n\n  # Update or add MINIO_ACCESS_KEY\n  if grep -q \"^MINIO_ACCESS_KEY=\" ../.env; then\n    sed -i.bak \"s~^MINIO_ACCESS_KEY=.*~MINIO_ACCESS_KEY=$MINIO_ACCESS_KEY~\" ../.env\n  else\n    echo \"\" >> ../.env\n    echo \"# Generated MinIO Keys\" >> ../.env\n    echo \"MINIO_ACCESS_KEY=$MINIO_ACCESS_KEY\" >> ../.env\n  fi\n\n  # Update or add MINIO_SECRET_KEY\n  if grep -q \"^MINIO_SECRET_KEY=\" ../.env; then\n    sed -i.bak \"s~^MINIO_SECRET_KEY=.*~MINIO_SECRET_KEY=$MINIO_SECRET_KEY~\" ../.env\n  else\n    echo \"MINIO_SECRET_KEY=$MINIO_SECRET_KEY\" >> ../.env\n  fi\n\n  # Update or add ELASTICSEARCH_API_KEY (only if it was generated successfully)\n  if [ -n \"$ELASTICSEARCH_API_KEY\" ]; then\n    if grep -q \"^ELASTICSEARCH_API_KEY=\" ../.env; then\n      sed -i.bak \"s~^ELASTICSEARCH_API_KEY=.*~ELASTICSEARCH_API_KEY=$ELASTICSEARCH_API_KEY~\" ../.env\n    else\n      echo \"\" >> ../.env\n      echo \"# Generated Elasticsearch API Key\" >> ../.env\n      echo \"ELASTICSEARCH_API_KEY=$ELASTICSEARCH_API_KEY\" >> ../.env\n    fi\n  fi\n\n  # Update or add SSH credentials (only if they were set)\n  if [ -n \"$SSH_USERNAME\" ]; then\n    if grep -q \"^SSH_USERNAME=\" ../.env; then\n      sed -i.bak \"s~^SSH_USERNAME=.*~SSH_USERNAME=$SSH_USERNAME~\" ../.env\n    else\n      echo \"\" >> ../.env\n      echo \"# SSH Terminal Tool Credentials\" >> ../.env\n      echo \"SSH_USERNAME=$SSH_USERNAME\" >> ../.env\n    fi\n  fi\n\n  if [ -n \"$SSH_PASSWORD\" ]; then\n    if grep -q \"^SSH_PASSWORD=\" ../.env; then\n      sed -i.bak \"s~^SSH_PASSWORD=.*~SSH_PASSWORD=$SSH_PASSWORD~\" ../.env\n    else\n      echo \"SSH_PASSWORD=$SSH_PASSWORD\" >> ../.env\n    fi\n  fi\n  echo \"   ✅ Generated keys updated successfully\"\n\n  # Force update development environment service URLs for localhost access\n  echo \"   🔧 Updating service URLs for localhost development environment...\"\n\n  # ELASTICSEARCH_HOST\n  if grep -q \"^ELASTICSEARCH_HOST=\" ../.env; then\n    sed -i.bak \"s~^ELASTICSEARCH_HOST=.*~ELASTICSEARCH_HOST=http://localhost:9210~\" ../.env\n  else\n    echo \"\" >> ../.env\n    echo \"# Development Environment URLs\" >> ../.env\n    echo \"ELASTICSEARCH_HOST=http://localhost:9210\" >> ../.env\n  fi\n\n  # Main Services\n  # CONFIG_SERVICE_URL\n  if grep -q \"^CONFIG_SERVICE_URL=\" ../.env; then\n    sed -i.bak \"s~^CONFIG_SERVICE_URL=.*~CONFIG_SERVICE_URL=http://localhost:5010~\" ../.env\n  else\n    echo \"\" >> ../.env\n    echo \"# Main Services\" >> ../.env\n    echo \"CONFIG_SERVICE_URL=http://localhost:5010\" >> ../.env\n  fi\n\n  # RUNTIME_SERVICE_URL\n  if grep -q \"^RUNTIME_SERVICE_URL=\" ../.env; then\n    sed -i.bak \"s~^RUNTIME_SERVICE_URL=.*~RUNTIME_SERVICE_URL=http://localhost:5014~\" ../.env\n  else\n    echo \"RUNTIME_SERVICE_URL=http://localhost:5014\" >> ../.env\n  fi\n\n  # ELASTICSEARCH_SERVICE\n  if grep -q \"^ELASTICSEARCH_SERVICE=\" ../.env; then\n    sed -i.bak \"s~^ELASTICSEARCH_SERVICE=.*~ELASTICSEARCH_SERVICE=http://localhost:5010/api~\" ../.env\n  else\n    echo \"ELASTICSEARCH_SERVICE=http://localhost:5010/api\" >> ../.env\n  fi\n\n  # NEXENT_MCP_SERVER\n  if grep -q \"^NEXENT_MCP_SERVER=\" ../.env; then\n    sed -i.bak \"s~^NEXENT_MCP_SERVER=.*~NEXENT_MCP_SERVER=http://localhost:5011~\" ../.env\n  else\n    echo \"NEXENT_MCP_SERVER=http://localhost:5011\" >> ../.env\n  fi\n\n  # DATA_PROCESS_SERVICE\n  if grep -q \"^DATA_PROCESS_SERVICE=\" ../.env; then\n    sed -i.bak \"s~^DATA_PROCESS_SERVICE=.*~DATA_PROCESS_SERVICE=http://localhost:5012/api~\" ../.env\n  else\n    echo \"DATA_PROCESS_SERVICE=http://localhost:5012/api\" >> ../.env\n  fi\n\n  # NORTHBOUND_API_SERVER\n  if grep -q \"^NORTHBOUND_API_SERVER=\" ../.env; then\n    sed -i.bak \"s~^NORTHBOUND_API_SERVER=.*~NORTHBOUND_API_SERVER=http://localhost:5013/api~\" ../.env\n  else\n    echo \"NORTHBOUND_API_SERVER=http://localhost:5013/api\" >> ../.env\n  fi\n\n  # MINIO_ENDPOINT\n  if grep -q \"^MINIO_ENDPOINT=\" ../.env; then\n    sed -i.bak \"s~^MINIO_ENDPOINT=.*~MINIO_ENDPOINT=http://localhost:9010~\" ../.env\n  else\n    echo \"MINIO_ENDPOINT=http://localhost:9010\" >> ../.env\n  fi\n\n  # REDIS_URL\n  if grep -q \"^REDIS_URL=\" ../.env; then\n    sed -i.bak \"s~^REDIS_URL=.*~REDIS_URL=redis://localhost:6379/0~\" ../.env\n  else\n    echo \"REDIS_URL=redis://localhost:6379/0\" >> ../.env\n  fi\n\n  # REDIS_BACKEND_URL\n  if grep -q \"^REDIS_BACKEND_URL=\" ../.env; then\n    sed -i.bak \"s~^REDIS_BACKEND_URL=.*~REDIS_BACKEND_URL=redis://localhost:6379/1~\" ../.env\n  else\n    echo \"REDIS_BACKEND_URL=redis://localhost:6379/1\" >> ../.env\n  fi\n\n  # POSTGRES_HOST\n  if grep -q \"^POSTGRES_HOST=\" ../.env; then\n    sed -i.bak \"s~^POSTGRES_HOST=.*~POSTGRES_HOST=localhost~\" ../.env\n  else\n    echo \"POSTGRES_HOST=localhost\" >> ../.env\n  fi\n\n  # POSTGRES_PORT\n  if grep -q \"^POSTGRES_PORT=\" ../.env; then\n    sed -i.bak \"s~^POSTGRES_PORT=.*~POSTGRES_PORT=5434~\" ../.env\n  else\n    echo \"POSTGRES_PORT=5434\" >> ../.env\n  fi\n\n  # Supabase Configuration (Only for full version)\n  if [ \"$DEPLOYMENT_VERSION\" = \"full\" ]; then\n    if [ -n \"$SUPABASE_KEY\" ]; then\n      if grep -q \"^SUPABASE_KEY=\" ../.env; then\n        sed -i.bak \"s~^SUPABASE_KEY=.*~SUPABASE_KEY=$SUPABASE_KEY~\" ../.env\n      else\n        echo \"\" >> ../.env\n        echo \"# Supabase Keys\" >> ../.env\n        echo \"SUPABASE_KEY=$SUPABASE_KEY\" >> ../.env\n      fi\n    fi\n\n    if [ -n \"$SERVICE_ROLE_KEY\" ]; then\n      if grep -q \"^SERVICE_ROLE_KEY=\" ../.env; then\n        sed -i.bak \"s~^SERVICE_ROLE_KEY=.*~SERVICE_ROLE_KEY=$SERVICE_ROLE_KEY~\" ../.env\n      else\n        echo \"SERVICE_ROLE_KEY=$SERVICE_ROLE_KEY\" >> ../.env\n      fi\n    fi\n\n    # Additional Supabase configuration\n    if grep -q \"^SUPABASE_URL=\" ../.env; then\n      sed -i.bak \"s~^SUPABASE_URL=.*~SUPABASE_URL=http://localhost:8000~\" ../.env\n    else\n      echo \"SUPABASE_URL=http://localhost:8000\" >> ../.env\n    fi\n\n    if grep -q \"^API_EXTERNAL_URL=\" ../.env; then\n      sed -i.bak \"s~^API_EXTERNAL_URL=.*~API_EXTERNAL_URL=http://localhost:8000~\" ../.env\n    else\n      echo \"API_EXTERNAL_URL=http://localhost:8000\" >> ../.env\n    fi\n\n    if grep -q \"^SITE_URL=\" ../.env; then\n      sed -i.bak \"s~^SITE_URL=.*~SITE_URL=http://localhost:3011~\" ../.env\n    else\n      echo \"SITE_URL=http://localhost:3011\" >> ../.env\n    fi\n  fi\n\n  # Remove backup file\n  rm -f ../.env.bak\n\n  echo \"   ✅ Root .env file updated successfully with localhost development URLs\"\n}\n\n# Function to show summary\nshow_summary() {\n  echo \"🎉 Environment generation completed!\"\n\n  echo \"\"\n  echo \"--------------------------------\"\n  echo \"\"\n\n  echo \"🔣 Generated keys:\"\n  echo \"  🔑 MINIO_ACCESS_KEY: $MINIO_ACCESS_KEY\"\n  echo \"  🔑 MINIO_SECRET_KEY: $MINIO_SECRET_KEY\"\n  if [ -n \"$ELASTICSEARCH_API_KEY\" ]; then\n    echo \"  🔑 ELASTICSEARCH_API_KEY: $ELASTICSEARCH_API_KEY\"\n  else\n    echo \"  ⚠️  ELASTICSEARCH_API_KEY: Not generated (Elasticsearch not available)\"\n  fi\n  if [ -n \"$SUPABASE_KEY\" ]; then\n    echo \"  🔑 SUPABASE_KEY: $SUPABASE_KEY\"\n  fi\n  if [ -n \"$SERVICE_ROLE_KEY\" ]; then\n    echo \"  🔑 SERVICE_ROLE_KEY: $SERVICE_ROLE_KEY\"\n  fi\n  if [ -n \"$SSH_USERNAME\" ]; then\n    echo \"  👤 SSH_USERNAME: $SSH_USERNAME\"\n  fi\n  if [ -n \"$SSH_PASSWORD\" ]; then\n    echo \"  🔑 SSH_PASSWORD: [HIDDEN]\"\n  fi\n  if [ -z \"$ELASTICSEARCH_API_KEY\" ]; then\n    echo \"   ⚠️  Note: To generate ELASTICSEARCH_API_KEY later, please:\"\n    echo \"      1. Start Elasticsearch: docker-compose -p nexent up -d nexent-elasticsearch\"\n    echo \"      2. Wait for it to become healthy\"\n    echo \"      3. Run this script again or manually generate the API key\"\n  fi\n}\n\n# Main execution\nmain() {\n  # Step 1: Prepare .env file\n  prepare_env_file || { echo \"❌ Failed to prepare .env file\"; exit 1; }\n\n  # Step 2: Update .env file\n  echo \"\"\n  update_env_file || { echo \"❌ Failed to update .env file\"; exit 1; }\n\n  # Step 3: Show summary\n  show_summary\n}\n\n# Run main function\nmain \"$@\"\n"
  },
  {
    "path": "docker/init.sql",
    "content": "-- 1. Create custom Schema (if not exists)\nCREATE SCHEMA IF NOT EXISTS nexent;\n\n-- 2. Switch to the Schema (subsequent operations default to this Schema)\nSET search_path TO nexent;\n\nCREATE TABLE IF NOT EXISTS \"conversation_message_t\" (\n  \"message_id\" SERIAL,\n  \"conversation_id\" int4,\n  \"message_index\" int4,\n  \"message_role\" varchar(30) COLLATE \"pg_catalog\".\"default\",\n  \"message_content\" varchar COLLATE \"pg_catalog\".\"default\",\n  \"minio_files\" varchar,\n  \"opinion_flag\" varchar(1),\n  \"delete_flag\" varchar(1) COLLATE \"pg_catalog\".\"default\" DEFAULT 'N'::character varying,\n  \"create_time\" timestamp(0) DEFAULT CURRENT_TIMESTAMP,\n  \"update_time\" timestamp(0) DEFAULT CURRENT_TIMESTAMP,\n  \"created_by\" varchar(100) COLLATE \"pg_catalog\".\"default\",\n  \"updated_by\" varchar(100) COLLATE \"pg_catalog\".\"default\",\n  CONSTRAINT \"conversation_message_t_pk\" PRIMARY KEY (\"message_id\")\n);\nALTER TABLE \"conversation_message_t\" OWNER TO \"root\";\nCOMMENT ON COLUMN \"conversation_message_t\".\"conversation_id\" IS 'Formal foreign key, used to associate with the conversation';\nCOMMENT ON COLUMN \"conversation_message_t\".\"message_index\" IS 'Sequence number, used for frontend display sorting';\nCOMMENT ON COLUMN \"conversation_message_t\".\"message_role\" IS 'Role sending the message, such as system, assistant, user';\nCOMMENT ON COLUMN \"conversation_message_t\".\"message_content\" IS 'Complete content of the message';\nCOMMENT ON COLUMN \"conversation_message_t\".\"minio_files\" IS 'Images or documents uploaded by users in the chat interface, stored as a list';\nCOMMENT ON COLUMN \"conversation_message_t\".\"opinion_flag\" IS 'User feedback on the conversation, enum value Y represents positive, N represents negative';\nCOMMENT ON COLUMN \"conversation_message_t\".\"delete_flag\" IS 'When deleted by user frontend, delete flag will be set to true, achieving soft delete effect. Optional values Y/N';\nCOMMENT ON COLUMN \"conversation_message_t\".\"create_time\" IS 'Creation time, audit field';\nCOMMENT ON COLUMN \"conversation_message_t\".\"update_time\" IS 'Update time, audit field';\nCOMMENT ON COLUMN \"conversation_message_t\".\"created_by\" IS 'Creator ID, audit field';\nCOMMENT ON COLUMN \"conversation_message_t\".\"updated_by\" IS 'Last updater ID, audit field';\nCOMMENT ON TABLE \"conversation_message_t\" IS 'Carries specific response message content in conversations';\n\nCREATE TABLE IF NOT EXISTS \"conversation_message_unit_t\" (\n  \"unit_id\" SERIAL,\n  \"message_id\" int4,\n  \"conversation_id\" int4,\n  \"unit_index\" int4,\n  \"unit_type\" varchar(100) COLLATE \"pg_catalog\".\"default\",\n  \"unit_content\" varchar COLLATE \"pg_catalog\".\"default\",\n  \"delete_flag\" varchar(1) COLLATE \"pg_catalog\".\"default\" DEFAULT 'N'::character varying,\n  \"create_time\" timestamp(0) DEFAULT CURRENT_TIMESTAMP,\n  \"update_time\" timestamp(0) DEFAULT CURRENT_TIMESTAMP,\n  \"updated_by\" varchar(100) COLLATE \"pg_catalog\".\"default\",\n  \"created_by\" varchar(100) COLLATE \"pg_catalog\".\"default\",\n  CONSTRAINT \"conversation_message_unit_t_pk\" PRIMARY KEY (\"unit_id\")\n);\nALTER TABLE \"conversation_message_unit_t\" OWNER TO \"root\";\nCOMMENT ON COLUMN \"conversation_message_unit_t\".\"message_id\" IS 'Formal foreign key, used to associate with the message';\nCOMMENT ON COLUMN \"conversation_message_unit_t\".\"conversation_id\" IS 'Formal foreign key, used to associate with the conversation';\nCOMMENT ON COLUMN \"conversation_message_unit_t\".\"unit_index\" IS 'Sequence number, used for frontend display sorting';\nCOMMENT ON COLUMN \"conversation_message_unit_t\".\"unit_type\" IS 'Type of minimum response unit';\nCOMMENT ON COLUMN \"conversation_message_unit_t\".\"unit_content\" IS 'Complete content of the minimum response unit';\nCOMMENT ON COLUMN \"conversation_message_unit_t\".\"delete_flag\" IS 'When deleted by user frontend, delete flag will be set to true, achieving soft delete effect. Optional values Y/N';\nCOMMENT ON COLUMN \"conversation_message_unit_t\".\"create_time\" IS 'Creation time, audit field';\nCOMMENT ON COLUMN \"conversation_message_unit_t\".\"update_time\" IS 'Update time, audit field';\nCOMMENT ON COLUMN \"conversation_message_unit_t\".\"updated_by\" IS 'Last updater ID, audit field';\nCOMMENT ON COLUMN \"conversation_message_unit_t\".\"created_by\" IS 'Creator ID, audit field';\nCOMMENT ON TABLE \"conversation_message_unit_t\" IS 'Carries agent output content in each message';\n\nCREATE TABLE IF NOT EXISTS \"conversation_record_t\" (\n  \"conversation_id\" SERIAL,\n  \"conversation_title\" varchar(100) COLLATE \"pg_catalog\".\"default\",\n  \"delete_flag\" varchar(1) COLLATE \"pg_catalog\".\"default\" DEFAULT 'N'::character varying,\n  \"update_time\" timestamp(0) DEFAULT CURRENT_TIMESTAMP,\n  \"create_time\" timestamp(0) DEFAULT CURRENT_TIMESTAMP,\n  \"updated_by\" varchar(100) COLLATE \"pg_catalog\".\"default\",\n  \"created_by\" varchar(100) COLLATE \"pg_catalog\".\"default\",\n  CONSTRAINT \"conversation_record_t_pk\" PRIMARY KEY (\"conversation_id\")\n);\nALTER TABLE \"conversation_record_t\" OWNER TO \"root\";\nCOMMENT ON COLUMN \"conversation_record_t\".\"conversation_title\" IS 'Conversation title';\nCOMMENT ON COLUMN \"conversation_record_t\".\"delete_flag\" IS 'When deleted by user frontend, delete flag will be set to true, achieving soft delete effect. Optional values Y/N';\nCOMMENT ON COLUMN \"conversation_record_t\".\"update_time\" IS 'Update time, audit field';\nCOMMENT ON COLUMN \"conversation_record_t\".\"create_time\" IS 'Creation time, audit field';\nCOMMENT ON COLUMN \"conversation_record_t\".\"updated_by\" IS 'Last updater ID, audit field';\nCOMMENT ON COLUMN \"conversation_record_t\".\"created_by\" IS 'Creator ID, audit field';\nCOMMENT ON TABLE \"conversation_record_t\" IS 'Overall information of Q&A conversations';\n\nCREATE TABLE IF NOT EXISTS \"conversation_source_image_t\" (\n  \"image_id\" SERIAL,\n  \"conversation_id\" int4,\n  \"message_id\" int4,\n  \"unit_id\" int4,\n  \"image_url\" varchar COLLATE \"pg_catalog\".\"default\",\n  \"cite_index\" int4,\n  \"search_type\" varchar(100) COLLATE \"pg_catalog\".\"default\",\n  \"delete_flag\" varchar(1) COLLATE \"pg_catalog\".\"default\" DEFAULT 'N'::character varying,\n  \"create_time\" timestamp(0) DEFAULT CURRENT_TIMESTAMP,\n  \"update_time\" timestamp(0) DEFAULT CURRENT_TIMESTAMP,\n  \"created_by\" varchar(100) COLLATE \"pg_catalog\".\"default\",\n  \"updated_by\" varchar(100) COLLATE \"pg_catalog\".\"default\",\n  CONSTRAINT \"conversation_source_image_t_pk\" PRIMARY KEY (\"image_id\")\n);\nALTER TABLE \"conversation_source_image_t\" OWNER TO \"root\";\nCOMMENT ON COLUMN \"conversation_source_image_t\".\"conversation_id\" IS 'Formal foreign key, used to associate with the conversation of the search source';\nCOMMENT ON COLUMN \"conversation_source_image_t\".\"message_id\" IS 'Formal foreign key, used to associate with the conversation message of the search source';\nCOMMENT ON COLUMN \"conversation_source_image_t\".\"unit_id\" IS 'Formal foreign key, used to associate with the minimum message unit of the search source (if any)';\nCOMMENT ON COLUMN \"conversation_source_image_t\".\"image_url\" IS 'URL address of the image';\nCOMMENT ON COLUMN \"conversation_source_image_t\".\"cite_index\" IS '[Reserved] Citation sequence number, used for precise tracing';\nCOMMENT ON COLUMN \"conversation_source_image_t\".\"search_type\" IS '[Reserved] Search source type, used to distinguish the search tool used for this record, optional values web/local';\nCOMMENT ON COLUMN \"conversation_source_image_t\".\"delete_flag\" IS 'When deleted by user frontend, delete flag will be set to true, achieving soft delete effect. Optional values Y/N';\nCOMMENT ON COLUMN \"conversation_source_image_t\".\"create_time\" IS 'Creation time, audit field';\nCOMMENT ON COLUMN \"conversation_source_image_t\".\"update_time\" IS 'Update time, audit field';\nCOMMENT ON COLUMN \"conversation_source_image_t\".\"created_by\" IS 'Creator ID, audit field';\nCOMMENT ON COLUMN \"conversation_source_image_t\".\"updated_by\" IS 'Last updater ID, audit field';\nCOMMENT ON TABLE \"conversation_source_image_t\" IS 'Carries search image source information for conversation messages';\n\nCREATE TABLE IF NOT EXISTS \"conversation_source_search_t\" (\n  \"search_id\" SERIAL,\n  \"unit_id\" int4,\n  \"message_id\" int4,\n  \"conversation_id\" int4,\n  \"source_type\" varchar(100) COLLATE \"pg_catalog\".\"default\",\n  \"source_title\" varchar(400) COLLATE \"pg_catalog\".\"default\",\n  \"source_location\" varchar(400) COLLATE \"pg_catalog\".\"default\",\n  \"source_content\" varchar COLLATE \"pg_catalog\".\"default\",\n  \"score_overall\" numeric(7,6),\n  \"score_accuracy\" numeric(7,6),\n  \"score_semantic\" numeric(7,6),\n  \"published_date\" timestamp(0),\n  \"cite_index\" int4,\n  \"search_type\" varchar(100) COLLATE \"pg_catalog\".\"default\",\n  \"tool_sign\" varchar(30) COLLATE \"pg_catalog\".\"default\",\n  \"create_time\" timestamp(0) DEFAULT CURRENT_TIMESTAMP,\n  \"update_time\" timestamp(0) DEFAULT CURRENT_TIMESTAMP,\n  \"delete_flag\" varchar(1) COLLATE \"pg_catalog\".\"default\" DEFAULT 'N'::character varying,\n  \"updated_by\" varchar(100) COLLATE \"pg_catalog\".\"default\",\n  \"created_by\" varchar(100) COLLATE \"pg_catalog\".\"default\",\n  CONSTRAINT \"conversation_source_search_t_pk\" PRIMARY KEY (\"search_id\")\n);\nALTER TABLE \"conversation_source_search_t\" OWNER TO \"root\";\nCOMMENT ON COLUMN \"conversation_source_search_t\".\"unit_id\" IS 'Formal foreign key, used to associate with the minimum message unit of the search source (if any)';\nCOMMENT ON COLUMN \"conversation_source_search_t\".\"message_id\" IS 'Formal foreign key, used to associate with the conversation message of the search source';\nCOMMENT ON COLUMN \"conversation_source_search_t\".\"conversation_id\" IS 'Formal foreign key, used to associate with the conversation of the search source';\nCOMMENT ON COLUMN \"conversation_source_search_t\".\"source_type\" IS 'Source type, used to distinguish if source_location is URL or path, optional values url/text';\nCOMMENT ON COLUMN \"conversation_source_search_t\".\"source_title\" IS 'Title or filename of the search source';\nCOMMENT ON COLUMN \"conversation_source_search_t\".\"source_location\" IS 'URL link or file path of the search source';\nCOMMENT ON COLUMN \"conversation_source_search_t\".\"source_content\" IS 'Original text of the search source';\nCOMMENT ON COLUMN \"conversation_source_search_t\".\"score_overall\" IS 'Overall similarity score between source and user query, calculated as weighted average of details';\nCOMMENT ON COLUMN \"conversation_source_search_t\".\"score_accuracy\" IS 'Accuracy score';\nCOMMENT ON COLUMN \"conversation_source_search_t\".\"score_semantic\" IS 'Semantic similarity score';\nCOMMENT ON COLUMN \"conversation_source_search_t\".\"published_date\" IS 'Upload date of local file or network search date';\nCOMMENT ON COLUMN \"conversation_source_search_t\".\"cite_index\" IS 'Citation sequence number, used for precise tracing';\nCOMMENT ON COLUMN \"conversation_source_search_t\".\"search_type\" IS 'Search source type, specifically describes the search tool used for this record, optional values web_search/knowledge_base_search';\nCOMMENT ON COLUMN \"conversation_source_search_t\".\"tool_sign\" IS 'Simple tool identifier, used to distinguish index sources in large model output summary text';\nCOMMENT ON COLUMN \"conversation_source_search_t\".\"create_time\" IS 'Creation time, audit field';\nCOMMENT ON COLUMN \"conversation_source_search_t\".\"update_time\" IS 'Update time, audit field';\nCOMMENT ON COLUMN \"conversation_source_search_t\".\"delete_flag\" IS 'When deleted by user frontend, delete flag will be set to true, achieving soft delete effect. Optional values Y/N';\nCOMMENT ON COLUMN \"conversation_source_search_t\".\"updated_by\" IS 'Last updater ID, audit field';\nCOMMENT ON COLUMN \"conversation_source_search_t\".\"created_by\" IS 'Creator ID, audit field';\nCOMMENT ON TABLE \"conversation_source_search_t\" IS 'Carries search text source information referenced in conversation response messages';\n\nCREATE TABLE IF NOT EXISTS \"model_record_t\" (\n  \"model_id\" SERIAL,\n  \"model_repo\" varchar(100) COLLATE \"pg_catalog\".\"default\",\n  \"model_name\" varchar(100) COLLATE \"pg_catalog\".\"default\" NOT NULL,\n  \"model_factory\" varchar(100) COLLATE \"pg_catalog\".\"default\",\n  \"model_type\" varchar(100) COLLATE \"pg_catalog\".\"default\",\n  \"api_key\" varchar(500) COLLATE \"pg_catalog\".\"default\",\n  \"base_url\" varchar(500) COLLATE \"pg_catalog\".\"default\",\n  \"max_tokens\" int4,\n  \"used_token\" int4,\n  \"expected_chunk_size\" int4,\n  \"maximum_chunk_size\" int4,\n  \"chunk_batch\" int4,\n  \"display_name\" varchar(100) COLLATE \"pg_catalog\".\"default\",\n  \"connect_status\" varchar(100) COLLATE \"pg_catalog\".\"default\",\n  \"ssl_verify\" boolean DEFAULT true,\n  \"create_time\" timestamp(0) DEFAULT CURRENT_TIMESTAMP,\n  \"delete_flag\" varchar(1) COLLATE \"pg_catalog\".\"default\" DEFAULT 'N'::character varying,\n  \"update_time\" timestamp(0) DEFAULT CURRENT_TIMESTAMP,\n  \"updated_by\" varchar(100) COLLATE \"pg_catalog\".\"default\",\n  \"created_by\" varchar(100) COLLATE \"pg_catalog\".\"default\",\n  \"tenant_id\" varchar(100) COLLATE \"pg_catalog\".\"default\" DEFAULT 'tenant_id',\n  CONSTRAINT \"nexent_models_t_pk\" PRIMARY KEY (\"model_id\")\n);\nALTER TABLE \"model_record_t\" OWNER TO \"root\";\nCOMMENT ON COLUMN \"model_record_t\".\"model_id\" IS 'Model ID, unique primary key';\nCOMMENT ON COLUMN \"model_record_t\".\"model_repo\" IS 'Model path address';\nCOMMENT ON COLUMN \"model_record_t\".\"model_name\" IS 'Model name';\nCOMMENT ON COLUMN \"model_record_t\".\"model_factory\" IS 'Model manufacturer, determines specific format of api-key and model response. Currently defaults to OpenAI-API-Compatible';\nCOMMENT ON COLUMN \"model_record_t\".\"model_type\" IS 'Model type, e.g. chat, embedding, rerank, tts, asr';\nCOMMENT ON COLUMN \"model_record_t\".\"api_key\" IS 'Model API key, used for authentication for some models';\nCOMMENT ON COLUMN \"model_record_t\".\"base_url\" IS 'Base URL address, used for requesting remote model services';\nCOMMENT ON COLUMN \"model_record_t\".\"max_tokens\" IS 'Maximum available tokens for the model';\nCOMMENT ON COLUMN \"model_record_t\".\"used_token\" IS 'Number of tokens already used by the model in Q&A';\nCOMMENT ON COLUMN \"model_record_t\".expected_chunk_size IS 'Expected chunk size for embedding models, used during document chunking';\nCOMMENT ON COLUMN \"model_record_t\".maximum_chunk_size IS 'Maximum chunk size for embedding models, used during document chunking';\nCOMMENT ON COLUMN \"model_record_t\".\"display_name\" IS 'Model name displayed directly in frontend, customized by user';\nCOMMENT ON COLUMN \"model_record_t\".\"connect_status\" IS 'Model connectivity status from last check, optional values: \"检测中\"、\"可用\"、\"不可用\"';\nCOMMENT ON COLUMN \"model_record_t\".\"ssl_verify\" IS 'Whether to verify SSL certificates when connecting to this model API. Default is true. Set to false for local services without SSL support.';\nCOMMENT ON COLUMN \"model_record_t\".\"create_time\" IS 'Creation time, audit field';\nCOMMENT ON COLUMN \"model_record_t\".\"delete_flag\" IS 'When deleted by user frontend, delete flag will be set to true, achieving soft delete effect. Optional values Y/N';\nCOMMENT ON COLUMN \"model_record_t\".\"update_time\" IS 'Update time, audit field';\nCOMMENT ON COLUMN \"model_record_t\".\"updated_by\" IS 'Last updater ID, audit field';\nCOMMENT ON COLUMN \"model_record_t\".\"created_by\" IS 'Creator ID, audit field';\nCOMMENT ON COLUMN \"model_record_t\".\"tenant_id\" IS 'Tenant ID for filtering';\nCOMMENT ON TABLE \"model_record_t\" IS 'List of models defined by users in the configuration page';\n\nINSERT INTO \"nexent\".\"model_record_t\" (\"model_repo\", \"model_name\", \"model_factory\", \"model_type\", \"api_key\", \"base_url\", \"max_tokens\", \"used_token\", \"display_name\", \"connect_status\") VALUES ('', 'volcano_tts', 'OpenAI-API-Compatible', 'tts', '', '', 0, 0, 'volcano_tts', 'unavailable');\nINSERT INTO \"nexent\".\"model_record_t\" (\"model_repo\", \"model_name\", \"model_factory\", \"model_type\", \"api_key\", \"base_url\", \"max_tokens\", \"used_token\", \"display_name\", \"connect_status\") VALUES ('', 'volcano_stt', 'OpenAI-API-Compatible', 'stt', '', '', 0, 0, 'volcano_stt', 'unavailable');\n\nCREATE TABLE IF NOT EXISTS \"knowledge_record_t\" (\n  \"knowledge_id\" SERIAL,\n  \"index_name\" varchar(100) COLLATE \"pg_catalog\".\"default\",\n  \"knowledge_name\" varchar(100) COLLATE \"pg_catalog\".\"default\",\n  \"knowledge_describe\" varchar(3000) COLLATE \"pg_catalog\".\"default\",\n  \"tenant_id\" varchar(100) COLLATE \"pg_catalog\".\"default\",\n  \"knowledge_sources\" varchar(100) COLLATE \"pg_catalog\".\"default\",\n  \"embedding_model_name\" varchar(200) COLLATE \"pg_catalog\".\"default\",\n  \"group_ids\" varchar,\n  \"ingroup_permission\" varchar(30),\n  \"create_time\" timestamp(0) DEFAULT CURRENT_TIMESTAMP,\n  \"update_time\" timestamp(0) DEFAULT CURRENT_TIMESTAMP,\n  \"delete_flag\" varchar(1) COLLATE \"pg_catalog\".\"default\" DEFAULT 'N'::character varying,\n  \"updated_by\" varchar(100) COLLATE \"pg_catalog\".\"default\",\n  \"created_by\" varchar(100) COLLATE \"pg_catalog\".\"default\",\n  CONSTRAINT \"knowledge_record_t_pk\" PRIMARY KEY (\"knowledge_id\")\n);\nALTER TABLE \"knowledge_record_t\" OWNER TO \"root\";\nCOMMENT ON COLUMN \"knowledge_record_t\".\"knowledge_id\" IS 'Knowledge base ID, unique primary key';\nCOMMENT ON COLUMN \"knowledge_record_t\".\"index_name\" IS 'Internal Elasticsearch index name';\nCOMMENT ON COLUMN \"knowledge_record_t\".\"knowledge_name\" IS 'User-facing knowledge base name (display name), mapped to internal index_name';\nCOMMENT ON COLUMN \"knowledge_record_t\".\"knowledge_describe\" IS 'Knowledge base description';\nCOMMENT ON COLUMN \"knowledge_record_t\".\"tenant_id\" IS 'Tenant ID';\nCOMMENT ON COLUMN \"knowledge_record_t\".\"knowledge_sources\" IS 'Knowledge base sources';\nCOMMENT ON COLUMN \"knowledge_record_t\".\"embedding_model_name\" IS 'Embedding model name, used to record the embedding model used by the knowledge base';\nCOMMENT ON COLUMN \"knowledge_record_t\".\"group_ids\" IS 'Knowledge base group IDs list';\nCOMMENT ON COLUMN \"knowledge_record_t\".\"ingroup_permission\" IS 'In-group permission: EDIT, READ_ONLY, PRIVATE';\nCOMMENT ON COLUMN \"knowledge_record_t\".\"create_time\" IS 'Creation time, audit field';\nCOMMENT ON COLUMN \"knowledge_record_t\".\"update_time\" IS 'Update time, audit field';\nCOMMENT ON COLUMN \"knowledge_record_t\".\"delete_flag\" IS 'When deleted by user frontend, delete flag will be set to true, achieving soft delete effect. Optional values Y/N';\nCOMMENT ON COLUMN \"knowledge_record_t\".\"updated_by\" IS 'Last updater ID, audit field';\nCOMMENT ON COLUMN \"knowledge_record_t\".\"created_by\" IS 'Creator ID, audit field';\nCOMMENT ON TABLE \"knowledge_record_t\" IS 'Records knowledge base description and status information';\n\n-- Create the ag_tool_info_t table\nCREATE TABLE IF NOT EXISTS nexent.ag_tool_info_t (\n    tool_id SERIAL PRIMARY KEY NOT NULL,\n    name VARCHAR(100),\n    origin_name VARCHAR(100),\n    class_name VARCHAR(100),\n    description VARCHAR,\n    source VARCHAR(100),\n    author VARCHAR(100),\n    usage VARCHAR(100),\n    params JSON,\n    inputs VARCHAR,\n    output_type VARCHAR(100),\n    category VARCHAR(100),\n    is_available BOOLEAN DEFAULT FALSE,\n    create_time TIMESTAMP WITHOUT TIME ZONE DEFAULT CURRENT_TIMESTAMP,\n    update_time TIMESTAMP WITHOUT TIME ZONE DEFAULT CURRENT_TIMESTAMP,\n    created_by VARCHAR(100),\n    updated_by VARCHAR(100),\n    delete_flag VARCHAR(1) DEFAULT 'N'\n);\n\n-- Trigger to update update_time when the record is modified\nCREATE OR REPLACE FUNCTION update_ag_tool_info_update_time()\nRETURNS TRIGGER AS $$\nBEGIN\n    NEW.update_time = CURRENT_TIMESTAMP;\n    RETURN NEW;\nEND;\n$$ LANGUAGE plpgsql;\n\nCREATE TRIGGER update_ag_tool_info_update_time_trigger\nBEFORE UPDATE ON nexent.ag_tool_info_t\nFOR EACH ROW\nEXECUTE FUNCTION update_ag_tool_info_update_time();\n\n-- Add comment to the table\nCOMMENT ON TABLE nexent.ag_tool_info_t IS 'Information table for prompt tools';\n\n-- Add comments to the columns\nCOMMENT ON COLUMN nexent.ag_tool_info_t.tool_id IS 'ID';\nCOMMENT ON COLUMN nexent.ag_tool_info_t.name IS 'Unique key name';\nCOMMENT ON COLUMN nexent.ag_tool_info_t.class_name IS 'Tool class name, used when the tool is instantiated';\nCOMMENT ON COLUMN nexent.ag_tool_info_t.description IS 'Prompt tool description';\nCOMMENT ON COLUMN nexent.ag_tool_info_t.source IS 'Source';\nCOMMENT ON COLUMN nexent.ag_tool_info_t.author IS 'Tool author';\nCOMMENT ON COLUMN nexent.ag_tool_info_t.usage IS 'Usage';\nCOMMENT ON COLUMN nexent.ag_tool_info_t.params IS 'Tool parameter information (json)';\nCOMMENT ON COLUMN nexent.ag_tool_info_t.inputs IS 'Prompt tool inputs description';\nCOMMENT ON COLUMN nexent.ag_tool_info_t.output_type IS 'Prompt tool output description';\nCOMMENT ON COLUMN nexent.ag_tool_info_t.is_available IS 'Whether the tool can be used under the current main service';\nCOMMENT ON COLUMN nexent.ag_tool_info_t.create_time IS 'Creation time';\nCOMMENT ON COLUMN nexent.ag_tool_info_t.update_time IS 'Update time';\nCOMMENT ON COLUMN nexent.ag_tool_info_t.created_by IS 'Creator';\nCOMMENT ON COLUMN nexent.ag_tool_info_t.updated_by IS 'Updater';\nCOMMENT ON COLUMN nexent.ag_tool_info_t.delete_flag IS 'Whether it is deleted. Optional values: Y/N';\n\n-- Create the ag_tenant_agent_t table in the nexent schema\nCREATE TABLE IF NOT EXISTS nexent.ag_tenant_agent_t (\n    agent_id SERIAL NOT NULL,\n    name VARCHAR(100),\n    display_name VARCHAR(100),\n    description VARCHAR,\n    business_description VARCHAR,\n    author VARCHAR(100),\n    model_name VARCHAR(100),\n    model_id INTEGER,\n    business_logic_model_name VARCHAR(100),\n    business_logic_model_id INTEGER,\n    max_steps INTEGER,\n    duty_prompt TEXT,\n    constraint_prompt TEXT,\n    few_shots_prompt TEXT,\n    parent_agent_id INTEGER,\n    tenant_id VARCHAR(100),\n    group_ids VARCHAR,\n    enabled BOOLEAN DEFAULT FALSE,\n    is_new BOOLEAN DEFAULT FALSE,\n    provide_run_summary BOOLEAN DEFAULT FALSE,\n    version_no INTEGER DEFAULT 0 NOT NULL,\n    current_version_no INTEGER NULL,\n    ingroup_permission VARCHAR(30),\n    create_time TIMESTAMP WITHOUT TIME ZONE DEFAULT CURRENT_TIMESTAMP,\n    update_time TIMESTAMP WITHOUT TIME ZONE DEFAULT CURRENT_TIMESTAMP,\n    created_by VARCHAR(100),\n    updated_by VARCHAR(100),\n    delete_flag VARCHAR(1) DEFAULT 'N',\n    PRIMARY KEY (agent_id, version_no)\n);\n\n-- Create a function to update the update_time column\nCREATE OR REPLACE FUNCTION update_ag_tenant_agent_update_time()\nRETURNS TRIGGER AS $$\nBEGIN\n    NEW.update_time = CURRENT_TIMESTAMP;\n    RETURN NEW;\nEND;\n$$ LANGUAGE plpgsql;\n\n-- Create a trigger to call the function before each update\nCREATE TRIGGER update_ag_tenant_agent_update_time_trigger\nBEFORE UPDATE ON nexent.ag_tenant_agent_t\nFOR EACH ROW\nEXECUTE FUNCTION update_ag_tenant_agent_update_time();\n-- Add comments to the table\nCOMMENT ON TABLE nexent.ag_tenant_agent_t IS 'Information table for agents';\n\n-- Add comments to the columns\nCOMMENT ON COLUMN nexent.ag_tenant_agent_t.agent_id IS 'ID';\nCOMMENT ON COLUMN nexent.ag_tenant_agent_t.name IS 'Agent name';\nCOMMENT ON COLUMN nexent.ag_tenant_agent_t.display_name IS 'Agent display name';\nCOMMENT ON COLUMN nexent.ag_tenant_agent_t.description IS 'Description';\nCOMMENT ON COLUMN nexent.ag_tenant_agent_t.author IS 'Agent author';\nCOMMENT ON COLUMN nexent.ag_tenant_agent_t.business_description IS 'Manually entered by the user to describe the entire business process';\nCOMMENT ON COLUMN nexent.ag_tenant_agent_t.model_name IS '[DEPRECATED] Name of the model used, use model_id instead';\nCOMMENT ON COLUMN nexent.ag_tenant_agent_t.model_id IS 'Model ID, foreign key reference to model_record_t.model_id';\nCOMMENT ON COLUMN nexent.ag_tenant_agent_t.business_logic_model_name IS 'Model name used for business logic prompt generation';\nCOMMENT ON COLUMN nexent.ag_tenant_agent_t.business_logic_model_id IS 'Model ID used for business logic prompt generation, foreign key reference to model_record_t.model_id';\nCOMMENT ON COLUMN nexent.ag_tenant_agent_t.max_steps IS 'Maximum number of steps';\nCOMMENT ON COLUMN nexent.ag_tenant_agent_t.duty_prompt IS 'Duty prompt';\nCOMMENT ON COLUMN nexent.ag_tenant_agent_t.constraint_prompt IS 'Constraint prompt';\nCOMMENT ON COLUMN nexent.ag_tenant_agent_t.few_shots_prompt IS 'Few-shots prompt';\nCOMMENT ON COLUMN nexent.ag_tenant_agent_t.parent_agent_id IS 'Parent Agent ID';\nCOMMENT ON COLUMN nexent.ag_tenant_agent_t.tenant_id IS 'Belonging tenant';\nCOMMENT ON COLUMN nexent.ag_tenant_agent_t.group_ids IS 'Agent group IDs list';\nCOMMENT ON COLUMN nexent.ag_tenant_agent_t.enabled IS 'Enable flag';\nCOMMENT ON COLUMN nexent.ag_tenant_agent_t.provide_run_summary IS 'Whether to provide the running summary to the manager agent';\nCOMMENT ON COLUMN nexent.ag_tenant_agent_t.create_time IS 'Creation time';\nCOMMENT ON COLUMN nexent.ag_tenant_agent_t.update_time IS 'Update time';\nCOMMENT ON COLUMN nexent.ag_tenant_agent_t.created_by IS 'Creator';\nCOMMENT ON COLUMN nexent.ag_tenant_agent_t.updated_by IS 'Updater';\nCOMMENT ON COLUMN nexent.ag_tenant_agent_t.delete_flag IS 'Whether it is deleted. Optional values: Y/N';\nCOMMENT ON COLUMN nexent.ag_tenant_agent_t.is_new IS 'Whether this agent is marked as new for the user';\nCOMMENT ON COLUMN nexent.ag_tenant_agent_t.version_no IS 'Version number. 0 = draft/editing state, >=1 = published snapshot';\nCOMMENT ON COLUMN nexent.ag_tenant_agent_t.current_version_no IS 'Current published version number. NULL means no version published yet';\nCOMMENT ON COLUMN nexent.ag_tenant_agent_t.ingroup_permission IS 'In-group permission: EDIT, READ_ONLY, PRIVATE';\n\n-- Create index for is_new queries\nCREATE INDEX IF NOT EXISTS idx_ag_tenant_agent_t_is_new\nON nexent.ag_tenant_agent_t (tenant_id, is_new)\nWHERE delete_flag = 'N';\n\n\n-- Create the ag_tool_instance_t table in the nexent schema\nCREATE TABLE IF NOT EXISTS nexent.ag_tool_instance_t (\n    tool_instance_id SERIAL NOT NULL,\n    tool_id INTEGER,\n    agent_id INTEGER,\n    params JSON,\n    user_id VARCHAR(100),\n    tenant_id VARCHAR(100),\n    enabled BOOLEAN DEFAULT FALSE,\n    version_no INTEGER DEFAULT 0 NOT NULL,\n    create_time TIMESTAMP WITHOUT TIME ZONE DEFAULT CURRENT_TIMESTAMP,\n    update_time TIMESTAMP WITHOUT TIME ZONE DEFAULT CURRENT_TIMESTAMP,\n    created_by VARCHAR(100),\n    updated_by VARCHAR(100),\n    delete_flag VARCHAR(1) DEFAULT 'N',\n    PRIMARY KEY (tool_instance_id, version_no)\n);\n\n-- Add comment to the table\nCOMMENT ON TABLE nexent.ag_tool_instance_t IS 'Information table for tenant tool configuration.';\n\n-- Add comments to the columns\nCOMMENT ON COLUMN nexent.ag_tool_instance_t.tool_instance_id IS 'ID';\nCOMMENT ON COLUMN nexent.ag_tool_instance_t.tool_id IS 'Tenant tool ID';\nCOMMENT ON COLUMN nexent.ag_tool_instance_t.agent_id IS 'Agent ID';\nCOMMENT ON COLUMN nexent.ag_tool_instance_t.params IS 'Parameter configuration';\nCOMMENT ON COLUMN nexent.ag_tool_instance_t.user_id IS 'User ID';\nCOMMENT ON COLUMN nexent.ag_tool_instance_t.tenant_id IS 'Tenant ID';\nCOMMENT ON COLUMN nexent.ag_tool_instance_t.enabled IS 'Enable flag';\nCOMMENT ON COLUMN nexent.ag_tool_instance_t.version_no IS 'Version number. 0 = draft/editing state, >=1 = published snapshot';\nCOMMENT ON COLUMN nexent.ag_tool_instance_t.create_time IS 'Creation time';\nCOMMENT ON COLUMN nexent.ag_tool_instance_t.update_time IS 'Update time';\n\n-- Create a function to update the update_time column\nCREATE OR REPLACE FUNCTION update_ag_tool_instance_update_time()\nRETURNS TRIGGER AS $$\nBEGIN\n    NEW.update_time = CURRENT_TIMESTAMP;\n    RETURN NEW;\nEND;\n$$ LANGUAGE plpgsql;\n\n-- Add comment to the function\nCOMMENT ON FUNCTION update_ag_tool_instance_update_time() IS 'Function to update the update_time column when a record in ag_tool_instance_t is updated';\n\n-- Create a trigger to call the function before each update\nCREATE TRIGGER update_ag_tool_instance_update_time_trigger\nBEFORE UPDATE ON nexent.ag_tool_instance_t\nFOR EACH ROW\nEXECUTE FUNCTION update_ag_tool_instance_update_time();\n\n-- Add comment to the trigger\nCOMMENT ON TRIGGER update_ag_tool_instance_update_time_trigger ON nexent.ag_tool_instance_t IS 'Trigger to call update_ag_tool_instance_update_time function before each update on ag_tool_instance_t table';\n\n-- Create the tenant_config_t table in the nexent schema\nCREATE TABLE IF NOT EXISTS nexent.tenant_config_t (\n    tenant_config_id SERIAL PRIMARY KEY NOT NULL,\n    tenant_id VARCHAR(100),\n    user_id VARCHAR(100),\n    value_type VARCHAR(100),\n    config_key VARCHAR(100),\n    config_value TEXT,\n    create_time TIMESTAMP WITHOUT TIME ZONE DEFAULT CURRENT_TIMESTAMP,\n    update_time TIMESTAMP WITHOUT TIME ZONE DEFAULT CURRENT_TIMESTAMP,\n    created_by VARCHAR(100),\n    updated_by VARCHAR(100),\n    delete_flag VARCHAR(1) DEFAULT 'N'\n);\n\n-- Add comment to the table\nCOMMENT ON TABLE nexent.tenant_config_t IS 'Tenant configuration information table';\n\n-- Add comments to the columns\nCOMMENT ON COLUMN nexent.tenant_config_t.tenant_config_id IS 'ID';\nCOMMENT ON COLUMN nexent.tenant_config_t.tenant_id IS 'Tenant ID';\nCOMMENT ON COLUMN nexent.tenant_config_t.user_id IS 'User ID';\nCOMMENT ON COLUMN nexent.tenant_config_t.value_type IS 'Value type';\nCOMMENT ON COLUMN nexent.tenant_config_t.config_key IS 'Config key';\nCOMMENT ON COLUMN nexent.tenant_config_t.config_value IS 'Config value';\nCOMMENT ON COLUMN nexent.tenant_config_t.create_time IS 'Creation time';\nCOMMENT ON COLUMN nexent.tenant_config_t.update_time IS 'Update time';\nCOMMENT ON COLUMN nexent.tenant_config_t.created_by IS 'Creator';\nCOMMENT ON COLUMN nexent.tenant_config_t.updated_by IS 'Updater';\nCOMMENT ON COLUMN nexent.tenant_config_t.delete_flag IS 'Whether it is deleted. Optional values: Y/N';\n\n-- Create a function to update the update_time column\nCREATE OR REPLACE FUNCTION update_tenant_config_update_time()\nRETURNS TRIGGER AS $$\nBEGIN\n    NEW.update_time = CURRENT_TIMESTAMP;\n    RETURN NEW;\nEND;\n$$ LANGUAGE plpgsql;\n\n-- Create a trigger to call the function before each update\nCREATE TRIGGER update_tenant_config_update_time_trigger\nBEFORE UPDATE ON nexent.tenant_config_t\nFOR EACH ROW\nEXECUTE FUNCTION update_tenant_config_update_time();\n\n-- Create the mcp_record_t table in the nexent schema\nCREATE TABLE IF NOT EXISTS nexent.mcp_record_t (\n    mcp_id SERIAL PRIMARY KEY NOT NULL,\n    tenant_id VARCHAR(100),\n    user_id VARCHAR(100),\n    mcp_name VARCHAR(100),\n    mcp_server VARCHAR(500),\n    status BOOLEAN DEFAULT NULL,\n    container_id VARCHAR(200) DEFAULT NULL,\n    authorization_token VARCHAR(500) DEFAULT NULL,\n    create_time TIMESTAMP WITHOUT TIME ZONE DEFAULT CURRENT_TIMESTAMP,\n    update_time TIMESTAMP WITHOUT TIME ZONE DEFAULT CURRENT_TIMESTAMP,\n    created_by VARCHAR(100),\n    updated_by VARCHAR(100),\n    delete_flag VARCHAR(1) DEFAULT 'N'\n);\nALTER TABLE \"mcp_record_t\" OWNER TO \"root\";\n-- Add comment to the table\nCOMMENT ON TABLE nexent.mcp_record_t IS 'MCP (Model Context Protocol) records table';\n\n-- Add comments to the columns\nCOMMENT ON COLUMN nexent.mcp_record_t.mcp_id IS 'MCP record ID, unique primary key';\nCOMMENT ON COLUMN nexent.mcp_record_t.tenant_id IS 'Tenant ID';\nCOMMENT ON COLUMN nexent.mcp_record_t.user_id IS 'User ID';\nCOMMENT ON COLUMN nexent.mcp_record_t.mcp_name IS 'MCP name';\nCOMMENT ON COLUMN nexent.mcp_record_t.mcp_server IS 'MCP server address';\nCOMMENT ON COLUMN nexent.mcp_record_t.status IS 'MCP server connection status, true=connected, false=disconnected, null=unknown';\nCOMMENT ON COLUMN nexent.mcp_record_t.container_id IS 'Docker container ID for MCP service, NULL for non-containerized MCP';\nCOMMENT ON COLUMN nexent.mcp_record_t.authorization_token IS 'Authorization token for MCP server authentication (e.g., Bearer token)';\nCOMMENT ON COLUMN nexent.mcp_record_t.create_time IS 'Creation time, audit field';\nCOMMENT ON COLUMN nexent.mcp_record_t.update_time IS 'Update time, audit field';\nCOMMENT ON COLUMN nexent.mcp_record_t.created_by IS 'Creator ID, audit field';\nCOMMENT ON COLUMN nexent.mcp_record_t.updated_by IS 'Last updater ID, audit field';\nCOMMENT ON COLUMN nexent.mcp_record_t.delete_flag IS 'When deleted by user frontend, delete flag will be set to true, achieving soft delete effect. Optional values Y/N';\n\n-- Create a function to update the update_time column\nCREATE OR REPLACE FUNCTION update_mcp_record_update_time()\nRETURNS TRIGGER AS $$\nBEGIN\n    NEW.update_time = CURRENT_TIMESTAMP;\n    RETURN NEW;\nEND;\n$$ LANGUAGE plpgsql;\n\n-- Add comment to the function\nCOMMENT ON FUNCTION update_mcp_record_update_time() IS 'Function to update the update_time column when a record in mcp_record_t is updated';\n\n-- Create a trigger to call the function before each update\nCREATE TRIGGER update_mcp_record_update_time_trigger\nBEFORE UPDATE ON nexent.mcp_record_t\nFOR EACH ROW\nEXECUTE FUNCTION update_mcp_record_update_time();\n\n-- Add comment to the trigger\nCOMMENT ON TRIGGER update_mcp_record_update_time_trigger ON nexent.mcp_record_t IS 'Trigger to call update_mcp_record_update_time function before each update on mcp_record_t table';\n\n-- Create user tenant relationship table\nCREATE TABLE IF NOT EXISTS nexent.user_tenant_t (\n    user_tenant_id SERIAL PRIMARY KEY,\n    user_id VARCHAR(100) NOT NULL,\n    tenant_id VARCHAR(100) NOT NULL,\n    user_role VARCHAR(30) DEFAULT 'USER',\n    user_email VARCHAR(255),\n    create_time TIMESTAMP WITHOUT TIME ZONE DEFAULT NOW(),\n    update_time TIMESTAMP WITHOUT TIME ZONE DEFAULT NOW(),\n    created_by VARCHAR(100),\n    updated_by VARCHAR(100),\n    delete_flag CHAR(1) DEFAULT 'N',\n    UNIQUE(user_id, tenant_id)\n);\n\n-- Add comment\nCOMMENT ON TABLE nexent.user_tenant_t IS 'User tenant relationship table';\nCOMMENT ON COLUMN nexent.user_tenant_t.user_tenant_id IS 'User tenant relationship ID, primary key';\nCOMMENT ON COLUMN nexent.user_tenant_t.user_id IS 'User ID';\nCOMMENT ON COLUMN nexent.user_tenant_t.tenant_id IS 'Tenant ID';\nCOMMENT ON COLUMN nexent.user_tenant_t.user_role IS 'User role: SUPER_ADMIN, ADMIN, DEV, USER';\nCOMMENT ON COLUMN nexent.user_tenant_t.user_email IS 'User email address';\nCOMMENT ON COLUMN nexent.user_tenant_t.create_time IS 'Create time';\nCOMMENT ON COLUMN nexent.user_tenant_t.update_time IS 'Update time';\nCOMMENT ON COLUMN nexent.user_tenant_t.created_by IS 'Created by';\nCOMMENT ON COLUMN nexent.user_tenant_t.updated_by IS 'Updated by';\nCOMMENT ON COLUMN nexent.user_tenant_t.delete_flag IS 'Delete flag, Y/N';\n\n-- Create the ag_agent_relation_t table in the nexent schema\nCREATE TABLE IF NOT EXISTS nexent.ag_agent_relation_t (\n    relation_id SERIAL NOT NULL,\n    selected_agent_id INTEGER,\n    parent_agent_id INTEGER,\n    tenant_id VARCHAR(100),\n    version_no INTEGER DEFAULT 0 NOT NULL,\n    create_time TIMESTAMP WITHOUT TIME ZONE DEFAULT CURRENT_TIMESTAMP,\n    update_time TIMESTAMP WITHOUT TIME ZONE DEFAULT CURRENT_TIMESTAMP,\n    created_by VARCHAR(100),\n    updated_by VARCHAR(100),\n    delete_flag VARCHAR(1) DEFAULT 'N',\n    PRIMARY KEY (relation_id, version_no)\n);\n\n-- Create a function to update the update_time column\nCREATE OR REPLACE FUNCTION update_ag_agent_relation_update_time()\nRETURNS TRIGGER AS $$\nBEGIN\n    NEW.update_time = CURRENT_TIMESTAMP;\n    RETURN NEW;\nEND;\n$$ LANGUAGE plpgsql;\n\n-- Create a trigger to call the function before each update\nCREATE TRIGGER update_ag_agent_relation_update_time_trigger\nBEFORE UPDATE ON nexent.ag_agent_relation_t\nFOR EACH ROW\nEXECUTE FUNCTION update_ag_agent_relation_update_time();\n\n-- Add comment to the table\nCOMMENT ON TABLE nexent.ag_agent_relation_t IS 'Agent parent-child relationship table';\n\n-- Add comments to the columns\nCOMMENT ON COLUMN nexent.ag_agent_relation_t.relation_id IS 'Relationship ID, primary key';\nCOMMENT ON COLUMN nexent.ag_agent_relation_t.selected_agent_id IS 'Selected agent ID';\nCOMMENT ON COLUMN nexent.ag_agent_relation_t.parent_agent_id IS 'Parent agent ID';\nCOMMENT ON COLUMN nexent.ag_agent_relation_t.tenant_id IS 'Tenant ID';\nCOMMENT ON COLUMN nexent.ag_agent_relation_t.version_no IS 'Version number. 0 = draft/editing state, >=1 = published snapshot';\nCOMMENT ON COLUMN nexent.ag_agent_relation_t.create_time IS 'Creation time, audit field';\nCOMMENT ON COLUMN nexent.ag_agent_relation_t.update_time IS 'Update time, audit field';\nCOMMENT ON COLUMN nexent.ag_agent_relation_t.created_by IS 'Creator ID, audit field';\nCOMMENT ON COLUMN nexent.ag_agent_relation_t.updated_by IS 'Last updater ID, audit field';\nCOMMENT ON COLUMN nexent.ag_agent_relation_t.delete_flag IS 'Delete flag, set to Y for soft delete, optional values Y/N';\n\n-- Create user memory config table\nCREATE TABLE IF NOT EXISTS \"memory_user_config_t\" (\n  \"config_id\" SERIAL PRIMARY KEY NOT NULL,\n  \"tenant_id\" varchar(100) COLLATE \"pg_catalog\".\"default\",\n  \"user_id\" varchar(100) COLLATE \"pg_catalog\".\"default\",\n  \"value_type\" varchar(100) COLLATE \"pg_catalog\".\"default\",\n  \"config_key\" varchar(100) COLLATE \"pg_catalog\".\"default\",\n  \"config_value\" varchar(100) COLLATE \"pg_catalog\".\"default\",\n  \"create_time\" timestamp(6) DEFAULT CURRENT_TIMESTAMP,\n  \"update_time\" timestamp(6) DEFAULT CURRENT_TIMESTAMP,\n  \"created_by\" varchar(100) COLLATE \"pg_catalog\".\"default\",\n  \"updated_by\" varchar(100) COLLATE \"pg_catalog\".\"default\",\n  \"delete_flag\" varchar(1) COLLATE \"pg_catalog\".\"default\" DEFAULT 'N'\n);\n\nCOMMENT ON COLUMN \"nexent\".\"memory_user_config_t\".\"config_id\" IS 'ID';\nCOMMENT ON COLUMN \"nexent\".\"memory_user_config_t\".\"tenant_id\" IS 'Tenant ID';\nCOMMENT ON COLUMN \"nexent\".\"memory_user_config_t\".\"user_id\" IS 'User ID';\nCOMMENT ON COLUMN \"nexent\".\"memory_user_config_t\".\"value_type\" IS 'Value type. Optional values: single/multi';\nCOMMENT ON COLUMN \"nexent\".\"memory_user_config_t\".\"config_key\" IS 'Config key';\nCOMMENT ON COLUMN \"nexent\".\"memory_user_config_t\".\"config_value\" IS 'Config value';\nCOMMENT ON COLUMN \"nexent\".\"memory_user_config_t\".\"create_time\" IS 'Creation time';\nCOMMENT ON COLUMN \"nexent\".\"memory_user_config_t\".\"update_time\" IS 'Update time';\nCOMMENT ON COLUMN \"nexent\".\"memory_user_config_t\".\"created_by\" IS 'Creator';\nCOMMENT ON COLUMN \"nexent\".\"memory_user_config_t\".\"updated_by\" IS 'Updater';\nCOMMENT ON COLUMN \"nexent\".\"memory_user_config_t\".\"delete_flag\" IS 'Whether it is deleted. Optional values: Y/N';\n\nCOMMENT ON TABLE \"nexent\".\"memory_user_config_t\" IS 'User configuration of memory setting table';\n\nCREATE OR REPLACE FUNCTION \"update_memory_user_config_update_time\"()\nRETURNS TRIGGER AS $$\nBEGIN\n    NEW.update_time = CURRENT_TIMESTAMP;\n    RETURN NEW;\nEND;\n$$ LANGUAGE plpgsql;\n\nCREATE TRIGGER \"update_memory_user_config_update_time_trigger\"\nBEFORE UPDATE ON \"nexent\".\"memory_user_config_t\"\nFOR EACH ROW\nEXECUTE FUNCTION \"update_memory_user_config_update_time\"();\n\n-- Create partner mapping id table\nCREATE TABLE IF NOT EXISTS \"nexent\".\"partner_mapping_id_t\" (\n  \"mapping_id\" serial PRIMARY KEY NOT NULL,\n  \"external_id\" varchar(100) COLLATE \"pg_catalog\".\"default\",\n  \"internal_id\" int4,\n  \"mapping_type\" varchar(30) COLLATE \"pg_catalog\".\"default\",\n  \"tenant_id\" varchar(100) COLLATE \"pg_catalog\".\"default\",\n  \"user_id\" varchar(100) COLLATE \"pg_catalog\".\"default\",\n  \"create_time\" timestamp(6) DEFAULT CURRENT_TIMESTAMP,\n  \"update_time\" timestamp(6) DEFAULT CURRENT_TIMESTAMP,\n  \"created_by\" varchar(100) COLLATE \"pg_catalog\".\"default\",\n  \"updated_by\" varchar(100) COLLATE \"pg_catalog\".\"default\",\n  \"delete_flag\" varchar(1) COLLATE \"pg_catalog\".\"default\" DEFAULT 'N'::character varying\n);\n\nALTER TABLE \"nexent\".\"partner_mapping_id_t\" OWNER TO \"root\";\n\nCOMMENT ON COLUMN \"nexent\".\"partner_mapping_id_t\".\"mapping_id\" IS 'ID';\nCOMMENT ON COLUMN \"nexent\".\"partner_mapping_id_t\".\"external_id\" IS 'The external id given by the outer partner';\nCOMMENT ON COLUMN \"nexent\".\"partner_mapping_id_t\".\"internal_id\" IS 'The internal id of the other database table';\nCOMMENT ON COLUMN \"nexent\".\"partner_mapping_id_t\".\"mapping_type\" IS 'Type of the external - internal mapping, value set: CONVERSATION';\nCOMMENT ON COLUMN \"nexent\".\"partner_mapping_id_t\".\"tenant_id\" IS 'Tenant ID';\nCOMMENT ON COLUMN \"nexent\".\"partner_mapping_id_t\".\"user_id\" IS 'User ID';\nCOMMENT ON COLUMN \"nexent\".\"partner_mapping_id_t\".\"create_time\" IS 'Creation time';\nCOMMENT ON COLUMN \"nexent\".\"partner_mapping_id_t\".\"update_time\" IS 'Update time';\nCOMMENT ON COLUMN \"nexent\".\"partner_mapping_id_t\".\"created_by\" IS 'Creator';\nCOMMENT ON COLUMN \"nexent\".\"partner_mapping_id_t\".\"updated_by\" IS 'Updater';\nCOMMENT ON COLUMN \"nexent\".\"partner_mapping_id_t\".\"delete_flag\" IS 'Whether it is deleted. Optional values: Y/N';\n\nCREATE OR REPLACE FUNCTION \"update_partner_mapping_update_time\"()\nRETURNS TRIGGER AS $$\nBEGIN\n    NEW.update_time = CURRENT_TIMESTAMP;\n    RETURN NEW;\nEND;\n$$ LANGUAGE plpgsql;\n\nCREATE TRIGGER \"update_partner_mapping_update_time_trigger\"\nBEFORE UPDATE ON \"nexent\".\"partner_mapping_id_t\"\nFOR EACH ROW\nEXECUTE FUNCTION \"update_partner_mapping_update_time\"();\n\n-- 1. Create tenant_invitation_code_t table for invitation codes\nCREATE TABLE IF NOT EXISTS nexent.tenant_invitation_code_t (\n    invitation_id SERIAL PRIMARY KEY,\n    tenant_id VARCHAR(100) NOT NULL,\n    invitation_code VARCHAR(100) NOT NULL,\n    group_ids VARCHAR, -- int4 list\n    capacity INT4 NOT NULL DEFAULT 1,\n    expiry_date TIMESTAMP(6) WITHOUT TIME ZONE,\n    status VARCHAR(30) NOT NULL,\n    code_type VARCHAR(30) NOT NULL,\n    create_time TIMESTAMP(6) WITHOUT TIME ZONE DEFAULT NOW(),\n    update_time TIMESTAMP(6) WITHOUT TIME ZONE DEFAULT NOW(),\n    created_by VARCHAR(100),\n    updated_by VARCHAR(100),\n    delete_flag VARCHAR(1) DEFAULT 'N'\n);\n\n-- Add comments for tenant_invitation_code_t table\nCOMMENT ON TABLE nexent.tenant_invitation_code_t IS 'Tenant invitation code information table';\nCOMMENT ON COLUMN nexent.tenant_invitation_code_t.invitation_id IS 'Invitation ID, primary key';\nCOMMENT ON COLUMN nexent.tenant_invitation_code_t.tenant_id IS 'Tenant ID, foreign key';\nCOMMENT ON COLUMN nexent.tenant_invitation_code_t.invitation_code IS 'Invitation code';\nCOMMENT ON COLUMN nexent.tenant_invitation_code_t.group_ids IS 'Associated group IDs list';\nCOMMENT ON COLUMN nexent.tenant_invitation_code_t.capacity IS 'Invitation code capacity';\nCOMMENT ON COLUMN nexent.tenant_invitation_code_t.expiry_date IS 'Invitation code expiry date';\nCOMMENT ON COLUMN nexent.tenant_invitation_code_t.status IS 'Invitation code status: IN_USE, EXPIRE, DISABLE, RUN_OUT';\nCOMMENT ON COLUMN nexent.tenant_invitation_code_t.code_type IS 'Invitation code type: ADMIN_INVITE, DEV_INVITE, USER_INVITE';\nCOMMENT ON COLUMN nexent.tenant_invitation_code_t.create_time IS 'Create time';\nCOMMENT ON COLUMN nexent.tenant_invitation_code_t.update_time IS 'Update time';\nCOMMENT ON COLUMN nexent.tenant_invitation_code_t.created_by IS 'Created by';\nCOMMENT ON COLUMN nexent.tenant_invitation_code_t.updated_by IS 'Updated by';\nCOMMENT ON COLUMN nexent.tenant_invitation_code_t.delete_flag IS 'Delete flag, Y/N';\n\n-- 2. Create tenant_invitation_record_t table for invitation usage records\nCREATE TABLE IF NOT EXISTS nexent.tenant_invitation_record_t (\n    invitation_record_id SERIAL PRIMARY KEY,\n    invitation_id INT4 NOT NULL,\n    user_id VARCHAR(100) NOT NULL,\n    create_time TIMESTAMP(6) WITHOUT TIME ZONE DEFAULT NOW(),\n    update_time TIMESTAMP(6) WITHOUT TIME ZONE DEFAULT NOW(),\n    created_by VARCHAR(100),\n    updated_by VARCHAR(100),\n    delete_flag VARCHAR(1) DEFAULT 'N'\n);\n\n-- Add comments for tenant_invitation_record_t table\nCOMMENT ON TABLE nexent.tenant_invitation_record_t IS 'Tenant invitation record table';\nCOMMENT ON COLUMN nexent.tenant_invitation_record_t.invitation_record_id IS 'Invitation record ID, primary key';\nCOMMENT ON COLUMN nexent.tenant_invitation_record_t.invitation_id IS 'Invitation ID, foreign key';\nCOMMENT ON COLUMN nexent.tenant_invitation_record_t.user_id IS 'User ID';\nCOMMENT ON COLUMN nexent.tenant_invitation_record_t.create_time IS 'Create time';\nCOMMENT ON COLUMN nexent.tenant_invitation_record_t.update_time IS 'Update time';\nCOMMENT ON COLUMN nexent.tenant_invitation_record_t.created_by IS 'Created by';\nCOMMENT ON COLUMN nexent.tenant_invitation_record_t.updated_by IS 'Updated by';\nCOMMENT ON COLUMN nexent.tenant_invitation_record_t.delete_flag IS 'Delete flag, Y/N';\n\n-- 3. Create tenant_group_info_t table for group information\nCREATE TABLE IF NOT EXISTS nexent.tenant_group_info_t (\n    group_id SERIAL PRIMARY KEY,\n    tenant_id VARCHAR(100) NOT NULL,\n    group_name VARCHAR(100) NOT NULL,\n    group_description VARCHAR(500),\n    create_time TIMESTAMP(6) WITHOUT TIME ZONE DEFAULT NOW(),\n    update_time TIMESTAMP(6) WITHOUT TIME ZONE DEFAULT NOW(),\n    created_by VARCHAR(100),\n    updated_by VARCHAR(100),\n    delete_flag VARCHAR(1) DEFAULT 'N'\n);\n\n-- Add comments for tenant_group_info_t table\nCOMMENT ON TABLE nexent.tenant_group_info_t IS 'Tenant group information table';\nCOMMENT ON COLUMN nexent.tenant_group_info_t.group_id IS 'Group ID, primary key';\nCOMMENT ON COLUMN nexent.tenant_group_info_t.tenant_id IS 'Tenant ID, foreign key';\nCOMMENT ON COLUMN nexent.tenant_group_info_t.group_name IS 'Group name';\nCOMMENT ON COLUMN nexent.tenant_group_info_t.group_description IS 'Group description';\nCOMMENT ON COLUMN nexent.tenant_group_info_t.create_time IS 'Create time';\nCOMMENT ON COLUMN nexent.tenant_group_info_t.update_time IS 'Update time';\nCOMMENT ON COLUMN nexent.tenant_group_info_t.created_by IS 'Created by';\nCOMMENT ON COLUMN nexent.tenant_group_info_t.updated_by IS 'Updated by';\nCOMMENT ON COLUMN nexent.tenant_group_info_t.delete_flag IS 'Delete flag, Y/N';\n\n-- 4. Create tenant_group_user_t table for group user membership\nCREATE TABLE IF NOT EXISTS nexent.tenant_group_user_t (\n    group_user_id SERIAL PRIMARY KEY,\n    group_id INT4 NOT NULL,\n    user_id VARCHAR(100) NOT NULL,\n    create_time TIMESTAMP(6) WITHOUT TIME ZONE DEFAULT NOW(),\n    update_time TIMESTAMP(6) WITHOUT TIME ZONE DEFAULT NOW(),\n    created_by VARCHAR(100),\n    updated_by VARCHAR(100),\n    delete_flag VARCHAR(1) DEFAULT 'N'\n);\n\n-- Add comments for tenant_group_user_t table\nCOMMENT ON TABLE nexent.tenant_group_user_t IS 'Tenant group user membership table';\nCOMMENT ON COLUMN nexent.tenant_group_user_t.group_user_id IS 'Group user ID, primary key';\nCOMMENT ON COLUMN nexent.tenant_group_user_t.group_id IS 'Group ID, foreign key';\nCOMMENT ON COLUMN nexent.tenant_group_user_t.user_id IS 'User ID, foreign key';\nCOMMENT ON COLUMN nexent.tenant_group_user_t.create_time IS 'Create time';\nCOMMENT ON COLUMN nexent.tenant_group_user_t.update_time IS 'Update time';\nCOMMENT ON COLUMN nexent.tenant_group_user_t.created_by IS 'Created by';\nCOMMENT ON COLUMN nexent.tenant_group_user_t.updated_by IS 'Updated by';\nCOMMENT ON COLUMN nexent.tenant_group_user_t.delete_flag IS 'Delete flag, Y/N';\n\n-- 5. Create role_permission_t table for role permissions\nCREATE TABLE IF NOT EXISTS nexent.role_permission_t (\n    role_permission_id SERIAL PRIMARY KEY,\n    user_role VARCHAR(30) NOT NULL,\n    permission_category VARCHAR(30),\n    permission_type VARCHAR(30),\n    permission_subtype VARCHAR(30)\n);\n\n-- Add comments for role_permission_t table\nCOMMENT ON TABLE nexent.role_permission_t IS 'Role permission configuration table';\nCOMMENT ON COLUMN nexent.role_permission_t.role_permission_id IS 'Role permission ID, primary key';\nCOMMENT ON COLUMN nexent.role_permission_t.user_role IS 'User role: SU, ADMIN, DEV, USER';\nCOMMENT ON COLUMN nexent.role_permission_t.permission_category IS 'Permission category';\nCOMMENT ON COLUMN nexent.role_permission_t.permission_type IS 'Permission type';\nCOMMENT ON COLUMN nexent.role_permission_t.permission_subtype IS 'Permission subtype';\n\n-- 6. Insert role permission data after clearing old data\nDELETE FROM nexent.role_permission_t;\n\nINSERT INTO nexent.role_permission_t (role_permission_id, user_role, permission_category, permission_type, permission_subtype) VALUES\n(1, 'SU', 'VISIBILITY', 'LEFT_NAV_MENU', '/'),\n(2, 'SU', 'VISIBILITY', 'LEFT_NAV_MENU', '/monitoring'),\n(3, 'SU', 'VISIBILITY', 'LEFT_NAV_MENU', '/tenant-resources'),\n(4, 'SU', 'RESOURCE', 'AGENT', 'READ'),\n(5, 'SU', 'RESOURCE', 'AGENT', 'DELETE'),\n(6, 'SU', 'RESOURCE', 'KB', 'READ'),\n(7, 'SU', 'RESOURCE', 'KB', 'DELETE'),\n(8, 'SU', 'RESOURCE', 'KB.GROUPS', 'READ'),\n(9, 'SU', 'RESOURCE', 'KB.GROUPS', 'UPDATE'),\n(10, 'SU', 'RESOURCE', 'KB.GROUPS', 'DELETE'),\n(11, 'SU', 'RESOURCE', 'USER.ROLE', 'READ'),\n(12, 'SU', 'RESOURCE', 'USER.ROLE', 'UPDATE'),\n(13, 'SU', 'RESOURCE', 'USER.ROLE', 'DELETE'),\n(14, 'SU', 'RESOURCE', 'MCP', 'READ'),\n(15, 'SU', 'RESOURCE', 'MCP', 'DELETE'),\n(16, 'SU', 'RESOURCE', 'MEM.SETTING', 'READ'),\n(17, 'SU', 'RESOURCE', 'MEM.SETTING', 'UPDATE'),\n(18, 'SU', 'RESOURCE', 'MEM.AGENT', 'READ'),\n(19, 'SU', 'RESOURCE', 'MEM.AGENT', 'DELETE'),\n(20, 'SU', 'RESOURCE', 'MEM.PRIVATE', 'READ'),\n(21, 'SU', 'RESOURCE', 'MEM.PRIVATE', 'DELETE'),\n(22, 'SU', 'RESOURCE', 'MODEL', 'CREATE'),\n(23, 'SU', 'RESOURCE', 'MODEL', 'READ'),\n(24, 'SU', 'RESOURCE', 'MODEL', 'UPDATE'),\n(25, 'SU', 'RESOURCE', 'MODEL', 'DELETE'),\n(26, 'SU', 'RESOURCE', 'TENANT', 'CREATE'),\n(27, 'SU', 'RESOURCE', 'TENANT', 'READ'),\n(28, 'SU', 'RESOURCE', 'TENANT', 'UPDATE'),\n(29, 'SU', 'RESOURCE', 'TENANT', 'DELETE'),\n(30, 'SU', 'RESOURCE', 'TENANT.LIST', 'READ'),\n(31, 'SU', 'RESOURCE', 'TENANT.INFO', 'READ'),\n(32, 'SU', 'RESOURCE', 'TENANT.INFO', 'UPDATE'),\n(33, 'SU', 'RESOURCE', 'TENANT.INVITE', 'CREATE'),\n(34, 'SU', 'RESOURCE', 'TENANT.INVITE', 'READ'),\n(35, 'SU', 'RESOURCE', 'TENANT.INVITE', 'UPDATE'),\n(36, 'SU', 'RESOURCE', 'TENANT.INVITE', 'DELETE'),\n(37, 'SU', 'RESOURCE', 'GROUP', 'CREATE'),\n(38, 'SU', 'RESOURCE', 'GROUP', 'READ'),\n(39, 'SU', 'RESOURCE', 'GROUP', 'UPDATE'),\n(40, 'SU', 'RESOURCE', 'GROUP', 'DELETE'),\n(41, 'ADMIN', 'VISIBILITY', 'LEFT_NAV_MENU', '/'),\n(42, 'ADMIN', 'VISIBILITY', 'LEFT_NAV_MENU', '/chat'),\n(43, 'ADMIN', 'VISIBILITY', 'LEFT_NAV_MENU', '/setup'),\n(44, 'ADMIN', 'VISIBILITY', 'LEFT_NAV_MENU', '/space'),\n(45, 'ADMIN', 'VISIBILITY', 'LEFT_NAV_MENU', '/market'),\n(46, 'ADMIN', 'VISIBILITY', 'LEFT_NAV_MENU', '/agents'),\n(47, 'ADMIN', 'VISIBILITY', 'LEFT_NAV_MENU', '/knowledges'),\n(48, 'ADMIN', 'VISIBILITY', 'LEFT_NAV_MENU', '/mcp-tools'),\n(49, 'ADMIN', 'VISIBILITY', 'LEFT_NAV_MENU', '/monitoring'),\n(50, 'ADMIN', 'VISIBILITY', 'LEFT_NAV_MENU', '/models'),\n(51, 'ADMIN', 'VISIBILITY', 'LEFT_NAV_MENU', '/memory'),\n(52, 'ADMIN', 'VISIBILITY', 'LEFT_NAV_MENU', '/users'),\n(53, 'ADMIN', 'VISIBILITY', 'LEFT_NAV_MENU', '/tenant-resources'),\n(54, 'ADMIN', 'RESOURCE', 'AGENT', 'CREATE'),\n(55, 'ADMIN', 'RESOURCE', 'AGENT', 'READ'),\n(56, 'ADMIN', 'RESOURCE', 'AGENT', 'UPDATE'),\n(57, 'ADMIN', 'RESOURCE', 'AGENT', 'DELETE'),\n(58, 'ADMIN', 'RESOURCE', 'KB', 'CREATE'),\n(59, 'ADMIN', 'RESOURCE', 'KB', 'READ'),\n(60, 'ADMIN', 'RESOURCE', 'KB', 'UPDATE'),\n(61, 'ADMIN', 'RESOURCE', 'KB', 'DELETE'),\n(62, 'ADMIN', 'RESOURCE', 'KB.GROUPS', 'READ'),\n(63, 'ADMIN', 'RESOURCE', 'KB.GROUPS', 'UPDATE'),\n(64, 'ADMIN', 'RESOURCE', 'KB.GROUPS', 'DELETE'),\n(65, 'ADMIN', 'RESOURCE', 'USER.ROLE', 'READ'),\n(66, 'ADMIN', 'RESOURCE', 'MCP', 'CREATE'),\n(67, 'ADMIN', 'RESOURCE', 'MCP', 'READ'),\n(68, 'ADMIN', 'RESOURCE', 'MCP', 'UPDATE'),\n(69, 'ADMIN', 'RESOURCE', 'MCP', 'DELETE'),\n(70, 'ADMIN', 'RESOURCE', 'MEM.SETTING', 'READ'),\n(71, 'ADMIN', 'RESOURCE', 'MEM.SETTING', 'UPDATE'),\n(72, 'ADMIN', 'RESOURCE', 'MEM.AGENT', 'CREATE'),\n(73, 'ADMIN', 'RESOURCE', 'MEM.AGENT', 'READ'),\n(74, 'ADMIN', 'RESOURCE', 'MEM.AGENT', 'DELETE'),\n(75, 'ADMIN', 'RESOURCE', 'MEM.PRIVATE', 'CREATE'),\n(76, 'ADMIN', 'RESOURCE', 'MEM.PRIVATE', 'READ'),\n(77, 'ADMIN', 'RESOURCE', 'MEM.PRIVATE', 'DELETE'),\n(78, 'ADMIN', 'RESOURCE', 'MODEL', 'CREATE'),\n(79, 'ADMIN', 'RESOURCE', 'MODEL', 'READ'),\n(80, 'ADMIN', 'RESOURCE', 'MODEL', 'UPDATE'),\n(81, 'ADMIN', 'RESOURCE', 'MODEL', 'DELETE'),\n(82, 'ADMIN', 'RESOURCE', 'TENANT.INFO', 'READ'),\n(83, 'ADMIN', 'RESOURCE', 'TENANT.INFO', 'UPDATE'),\n(84, 'ADMIN', 'RESOURCE', 'TENANT.INVITE', 'CREATE'),\n(85, 'ADMIN', 'RESOURCE', 'TENANT.INVITE', 'READ'),\n(86, 'ADMIN', 'RESOURCE', 'TENANT.INVITE', 'UPDATE'),\n(87, 'ADMIN', 'RESOURCE', 'TENANT.INVITE', 'DELETE'),\n(88, 'ADMIN', 'RESOURCE', 'GROUP', 'CREATE'),\n(89, 'ADMIN', 'RESOURCE', 'GROUP', 'READ'),\n(90, 'ADMIN', 'RESOURCE', 'GROUP', 'UPDATE'),\n(91, 'ADMIN', 'RESOURCE', 'GROUP', 'DELETE'),\n(92, 'DEV', 'VISIBILITY', 'LEFT_NAV_MENU', '/'),\n(93, 'DEV', 'VISIBILITY', 'LEFT_NAV_MENU', '/chat'),\n(94, 'DEV', 'VISIBILITY', 'LEFT_NAV_MENU', '/setup'),\n(95, 'DEV', 'VISIBILITY', 'LEFT_NAV_MENU', '/space'),\n(96, 'DEV', 'VISIBILITY', 'LEFT_NAV_MENU', '/market'),\n(97, 'DEV', 'VISIBILITY', 'LEFT_NAV_MENU', '/agents'),\n(98, 'DEV', 'VISIBILITY', 'LEFT_NAV_MENU', '/knowledges'),\n(99, 'DEV', 'VISIBILITY', 'LEFT_NAV_MENU', '/mcp-tools'),\n(100, 'DEV', 'VISIBILITY', 'LEFT_NAV_MENU', '/monitoring'),\n(101, 'DEV', 'VISIBILITY', 'LEFT_NAV_MENU', '/models'),\n(102, 'DEV', 'VISIBILITY', 'LEFT_NAV_MENU', '/memory'),\n(103, 'DEV', 'VISIBILITY', 'LEFT_NAV_MENU', '/users'),\n(104, 'DEV', 'RESOURCE', 'AGENT', 'CREATE'),\n(105, 'DEV', 'RESOURCE', 'AGENT', 'READ'),\n(106, 'DEV', 'RESOURCE', 'AGENT', 'UPDATE'),\n(107, 'DEV', 'RESOURCE', 'AGENT', 'DELETE'),\n(108, 'DEV', 'RESOURCE', 'KB', 'CREATE'),\n(109, 'DEV', 'RESOURCE', 'KB', 'READ'),\n(110, 'DEV', 'RESOURCE', 'KB', 'UPDATE'),\n(111, 'DEV', 'RESOURCE', 'KB', 'DELETE'),\n(112, 'DEV', 'RESOURCE', 'KB.GROUPS', 'READ'),\n(113, 'DEV', 'RESOURCE', 'KB.GROUPS', 'UPDATE'),\n(114, 'DEV', 'RESOURCE', 'KB.GROUPS', 'DELETE'),\n(115, 'DEV', 'RESOURCE', 'USER.ROLE', 'READ'),\n(116, 'DEV', 'RESOURCE', 'MCP', 'CREATE'),\n(117, 'DEV', 'RESOURCE', 'MCP', 'READ'),\n(118, 'DEV', 'RESOURCE', 'MCP', 'UPDATE'),\n(119, 'DEV', 'RESOURCE', 'MCP', 'DELETE'),\n(120, 'DEV', 'RESOURCE', 'MEM.SETTING', 'READ'),\n(121, 'DEV', 'RESOURCE', 'MEM.SETTING', 'UPDATE'),\n(122, 'DEV', 'RESOURCE', 'MEM.AGENT', 'READ'),\n(123, 'DEV', 'RESOURCE', 'MEM.PRIVATE', 'CREATE'),\n(124, 'DEV', 'RESOURCE', 'MEM.PRIVATE', 'READ'),\n(125, 'DEV', 'RESOURCE', 'MEM.PRIVATE', 'DELETE'),\n(126, 'DEV', 'RESOURCE', 'MODEL', 'READ'),\n(127, 'DEV', 'RESOURCE', 'TENANT.INFO', 'READ'),\n(128, 'DEV', 'RESOURCE', 'GROUP', 'READ'),\n(129, 'USER', 'VISIBILITY', 'LEFT_NAV_MENU', '/'),\n(130, 'USER', 'VISIBILITY', 'LEFT_NAV_MENU', '/chat'),\n(131, 'USER', 'VISIBILITY', 'LEFT_NAV_MENU', '/memory'),\n(132, 'USER', 'VISIBILITY', 'LEFT_NAV_MENU', '/users'),\n(133, 'USER', 'RESOURCE', 'AGENT', 'READ'),\n(134, 'USER', 'RESOURCE', 'USER.ROLE', 'READ'),\n(135, 'USER', 'RESOURCE', 'MEM.SETTING', 'READ'),\n(136, 'USER', 'RESOURCE', 'MEM.SETTING', 'UPDATE'),\n(137, 'USER', 'RESOURCE', 'MEM.AGENT', 'READ'),\n(138, 'USER', 'RESOURCE', 'MEM.PRIVATE', 'CREATE'),\n(139, 'USER', 'RESOURCE', 'MEM.PRIVATE', 'READ'),\n(140, 'USER', 'RESOURCE', 'MEM.PRIVATE', 'DELETE'),\n(141, 'USER', 'RESOURCE', 'TENANT.INFO', 'READ'),\n(142, 'USER', 'RESOURCE', 'GROUP', 'READ'),\n(143, 'SPEED', 'VISIBILITY', 'LEFT_NAV_MENU', '/'),\n(144, 'SPEED', 'VISIBILITY', 'LEFT_NAV_MENU', '/chat'),\n(145, 'SPEED', 'VISIBILITY', 'LEFT_NAV_MENU', '/setup'),\n(146, 'SPEED', 'VISIBILITY', 'LEFT_NAV_MENU', '/space'),\n(147, 'SPEED', 'VISIBILITY', 'LEFT_NAV_MENU', '/market'),\n(148, 'SPEED', 'VISIBILITY', 'LEFT_NAV_MENU', '/agents'),\n(149, 'SPEED', 'VISIBILITY', 'LEFT_NAV_MENU', '/knowledges'),\n(150, 'SPEED', 'VISIBILITY', 'LEFT_NAV_MENU', '/mcp-tools'),\n(151, 'SPEED', 'VISIBILITY', 'LEFT_NAV_MENU', '/monitoring'),\n(152, 'SPEED', 'VISIBILITY', 'LEFT_NAV_MENU', '/models'),\n(153, 'SPEED', 'VISIBILITY', 'LEFT_NAV_MENU', '/memory'),\n(154, 'SPEED', 'RESOURCE', 'AGENT', 'CREATE'),\n(155, 'SPEED', 'RESOURCE', 'AGENT', 'READ'),\n(156, 'SPEED', 'RESOURCE', 'AGENT', 'UPDATE'),\n(157, 'SPEED', 'RESOURCE', 'AGENT', 'DELETE'),\n(158, 'SPEED', 'RESOURCE', 'KB', 'CREATE'),\n(159, 'SPEED', 'RESOURCE', 'KB', 'READ'),\n(160, 'SPEED', 'RESOURCE', 'KB', 'UPDATE'),\n(161, 'SPEED', 'RESOURCE', 'KB', 'DELETE'),\n(166, 'SPEED', 'RESOURCE', 'MCP', 'CREATE'),\n(167, 'SPEED', 'RESOURCE', 'MCP', 'READ'),\n(168, 'SPEED', 'RESOURCE', 'MCP', 'UPDATE'),\n(169, 'SPEED', 'RESOURCE', 'MCP', 'DELETE'),\n(170, 'SPEED', 'RESOURCE', 'MEM.SETTING', 'READ'),\n(171, 'SPEED', 'RESOURCE', 'MEM.SETTING', 'UPDATE'),\n(172, 'SPEED', 'RESOURCE', 'MEM.AGENT', 'CREATE'),\n(173, 'SPEED', 'RESOURCE', 'MEM.AGENT', 'READ'),\n(174, 'SPEED', 'RESOURCE', 'MEM.AGENT', 'DELETE'),\n(175, 'SPEED', 'RESOURCE', 'MEM.PRIVATE', 'CREATE'),\n(176, 'SPEED', 'RESOURCE', 'MEM.PRIVATE', 'READ'),\n(177, 'SPEED', 'RESOURCE', 'MEM.PRIVATE', 'DELETE'),\n(178, 'SPEED', 'RESOURCE', 'MODEL', 'CREATE'),\n(179, 'SPEED', 'RESOURCE', 'MODEL', 'READ'),\n(180, 'SPEED', 'RESOURCE', 'MODEL', 'UPDATE'),\n(181, 'SPEED', 'RESOURCE', 'MODEL', 'DELETE'),\n(182, 'SPEED', 'RESOURCE', 'TENANT.INFO', 'READ'),\n(183, 'SPEED', 'RESOURCE', 'TENANT.INFO', 'UPDATE'),\n(184, 'SPEED', 'RESOURCE', 'TENANT.INVITE', 'CREATE'),\n(185, 'SPEED', 'RESOURCE', 'TENANT.INVITE', 'READ'),\n(186, 'SPEED', 'RESOURCE', 'TENANT.INVITE', 'UPDATE'),\n(187, 'SPEED', 'RESOURCE', 'TENANT.INVITE', 'DELETE');\n\n-- Insert SPEED role user into user_tenant_t table if not exists\nINSERT INTO nexent.user_tenant_t (user_id, tenant_id, user_role, user_email, created_by, updated_by)\nVALUES ('user_id', 'tenant_id', 'SPEED', '', 'system', 'system')\nON CONFLICT (user_id, tenant_id) DO NOTHING;\n\n-- Create the ag_tenant_agent_version_t table for agent version management\nCREATE TABLE IF NOT EXISTS nexent.ag_tenant_agent_version_t (\n    id BIGSERIAL PRIMARY KEY,\n    tenant_id VARCHAR(100) NOT NULL,\n    agent_id INTEGER NOT NULL,\n    version_no INTEGER NOT NULL,\n    version_name VARCHAR(100),\n    release_note TEXT,\n    source_version_no INTEGER NULL,\n    source_type VARCHAR(30) NULL,\n    status VARCHAR(30) DEFAULT 'RELEASED',\n    created_by VARCHAR(100) NOT NULL,\n    create_time TIMESTAMP(6) DEFAULT CURRENT_TIMESTAMP,\n    updated_by VARCHAR(100),\n    update_time TIMESTAMP(6) DEFAULT CURRENT_TIMESTAMP,\n    delete_flag VARCHAR(1) DEFAULT 'N'\n);\n\nALTER TABLE nexent.ag_tenant_agent_version_t OWNER TO \"root\";\n\n-- Add comments for version fields in existing tables\nCOMMENT ON COLUMN nexent.ag_tenant_agent_t.version_no IS 'Version number. 0 = draft/editing state, >=1 = published snapshot';\nCOMMENT ON COLUMN nexent.ag_tenant_agent_t.current_version_no IS 'Current published version number. NULL means no version published yet';\nCOMMENT ON COLUMN nexent.ag_tool_instance_t.version_no IS 'Version number. 0 = draft/editing state, >=1 = published snapshot';\nCOMMENT ON COLUMN nexent.ag_agent_relation_t.version_no IS 'Version number. 0 = draft/editing state, >=1 = published snapshot';\n\n-- Add comments for ag_tenant_agent_version_t table\nCOMMENT ON TABLE nexent.ag_tenant_agent_version_t IS 'Agent version metadata table. Stores version info, release notes, and version lineage.';\nCOMMENT ON COLUMN nexent.ag_tenant_agent_version_t.id IS 'Primary key, auto-increment';\nCOMMENT ON COLUMN nexent.ag_tenant_agent_version_t.tenant_id IS 'Tenant ID';\nCOMMENT ON COLUMN nexent.ag_tenant_agent_version_t.agent_id IS 'Agent ID';\nCOMMENT ON COLUMN nexent.ag_tenant_agent_version_t.version_no IS 'Version number, starts from 1. Does not include 0 (draft)';\nCOMMENT ON COLUMN nexent.ag_tenant_agent_version_t.version_name IS 'User-defined version name for display (e.g., \"Stable v2.1\", \"Hotfix-001\"). NULL means use version_no as display.';\nCOMMENT ON COLUMN nexent.ag_tenant_agent_version_t.release_note IS 'Release notes / publish remarks';\nCOMMENT ON COLUMN nexent.ag_tenant_agent_version_t.source_version_no IS 'Source version number. If this version is a rollback, record the source version number.';\nCOMMENT ON COLUMN nexent.ag_tenant_agent_version_t.source_type IS 'Source type: NORMAL (normal publish) / ROLLBACK (rollback and republish).';\nCOMMENT ON COLUMN nexent.ag_tenant_agent_version_t.status IS 'Version status: RELEASED / DISABLED / ARCHIVED';\nCOMMENT ON COLUMN nexent.ag_tenant_agent_version_t.created_by IS 'User who published this version';\nCOMMENT ON COLUMN nexent.ag_tenant_agent_version_t.create_time IS 'Version creation timestamp';\nCOMMENT ON COLUMN nexent.ag_tenant_agent_version_t.updated_by IS 'Last user who updated this version';\nCOMMENT ON COLUMN nexent.ag_tenant_agent_version_t.update_time IS 'Last update timestamp';\nCOMMENT ON COLUMN nexent.ag_tenant_agent_version_t.delete_flag IS 'Soft delete flag: Y/N';\n"
  },
  {
    "path": "docker/monitoring/grafana/dashboards/nexent-llm-performance.json",
    "content": "{\n  \"annotations\": {\n    \"list\": [\n      {\n        \"builtIn\": 1,\n        \"datasource\": {\n          \"type\": \"grafana\",\n          \"uid\": \"-- Grafana --\"\n        },\n        \"enable\": true,\n        \"hide\": true,\n        \"iconColor\": \"rgba(0, 211, 255, 1)\",\n        \"name\": \"Annotations & Alerts\",\n        \"type\": \"dashboard\"\n      }\n    ]\n  },\n  \"editable\": true,\n  \"fiscalYearStartMonth\": 0,\n  \"graphTooltip\": 0,\n  \"id\": null,\n  \"links\": [],\n  \"liveNow\": false,\n  \"panels\": [\n    {\n      \"datasource\": {\n        \"type\": \"prometheus\",\n        \"uid\": \"prometheus\"\n      },\n      \"fieldConfig\": {\n        \"defaults\": {\n          \"color\": {\n            \"mode\": \"palette-classic\"\n          },\n          \"custom\": {\n            \"axisCenteredZero\": false,\n            \"axisColorMode\": \"text\",\n            \"axisLabel\": \"\",\n            \"axisPlacement\": \"auto\",\n            \"barAlignment\": 0,\n            \"drawStyle\": \"line\",\n            \"fillOpacity\": 10,\n            \"gradientMode\": \"none\",\n            \"hideFrom\": {\n              \"legend\": false,\n              \"tooltip\": false,\n              \"vis\": false\n            },\n            \"lineInterpolation\": \"linear\",\n            \"lineWidth\": 1,\n            \"pointSize\": 5,\n            \"scaleDistribution\": {\n              \"type\": \"linear\"\n            },\n            \"showPoints\": \"never\",\n            \"spanNulls\": false,\n            \"stacking\": {\n              \"group\": \"A\",\n              \"mode\": \"none\"\n            },\n            \"thresholdsStyle\": {\n              \"mode\": \"off\"\n            }\n          },\n          \"mappings\": [],\n          \"thresholds\": {\n            \"mode\": \"absolute\",\n            \"steps\": [\n              {\n                \"color\": \"green\",\n                \"value\": null\n              },\n              {\n                \"color\": \"red\",\n                \"value\": 80\n              }\n            ]\n          },\n          \"unit\": \"s\"\n        },\n        \"overrides\": []\n      },\n      \"gridPos\": {\n        \"h\": 8,\n        \"w\": 12,\n        \"x\": 0,\n        \"y\": 0\n      },\n      \"id\": 1,\n      \"options\": {\n        \"legend\": {\n          \"calcs\": [],\n          \"displayMode\": \"list\",\n          \"placement\": \"bottom\",\n          \"showLegend\": true\n        },\n        \"tooltip\": {\n          \"mode\": \"single\",\n          \"sort\": \"none\"\n        }\n      },\n      \"targets\": [\n        {\n          \"datasource\": {\n            \"type\": \"prometheus\",\n            \"uid\": \"prometheus\"\n          },\n          \"expr\": \"histogram_quantile(0.95, rate(llm_request_duration_seconds_bucket[5m]))\",\n          \"interval\": \"\",\n          \"legendFormat\": \"95th percentile\",\n          \"refId\": \"A\"\n        },\n        {\n          \"datasource\": {\n            \"type\": \"prometheus\",\n            \"uid\": \"prometheus\"\n          },\n          \"expr\": \"histogram_quantile(0.50, rate(llm_request_duration_seconds_bucket[5m]))\",\n          \"interval\": \"\",\n          \"legendFormat\": \"50th percentile (median)\",\n          \"refId\": \"B\"\n        }\n      ],\n      \"title\": \"LLM Request Duration\",\n      \"type\": \"timeseries\"\n    },\n    {\n      \"datasource\": {\n        \"type\": \"prometheus\",\n        \"uid\": \"prometheus\"\n      },\n      \"fieldConfig\": {\n        \"defaults\": {\n          \"color\": {\n            \"mode\": \"palette-classic\"\n          },\n          \"custom\": {\n            \"axisCenteredZero\": false,\n            \"axisColorMode\": \"text\",\n            \"axisLabel\": \"\",\n            \"axisPlacement\": \"auto\",\n            \"barAlignment\": 0,\n            \"drawStyle\": \"line\",\n            \"fillOpacity\": 10,\n            \"gradientMode\": \"none\",\n            \"hideFrom\": {\n              \"legend\": false,\n              \"tooltip\": false,\n              \"vis\": false\n            },\n            \"lineInterpolation\": \"linear\",\n            \"lineWidth\": 1,\n            \"pointSize\": 5,\n            \"scaleDistribution\": {\n              \"type\": \"linear\"\n            },\n            \"showPoints\": \"never\",\n            \"spanNulls\": false,\n            \"stacking\": {\n              \"group\": \"A\",\n              \"mode\": \"none\"\n            },\n            \"thresholdsStyle\": {\n              \"mode\": \"off\"\n            }\n          },\n          \"mappings\": [],\n          \"thresholds\": {\n            \"mode\": \"absolute\",\n            \"steps\": [\n              {\n                \"color\": \"green\",\n                \"value\": null\n              },\n              {\n                \"color\": \"red\",\n                \"value\": 80\n              }\n            ]\n          },\n          \"unit\": \"tokens/s\"\n        },\n        \"overrides\": []\n      },\n      \"gridPos\": {\n        \"h\": 8,\n        \"w\": 12,\n        \"x\": 12,\n        \"y\": 0\n      },\n      \"id\": 2,\n      \"options\": {\n        \"legend\": {\n          \"calcs\": [],\n          \"displayMode\": \"list\",\n          \"placement\": \"bottom\",\n          \"showLegend\": true\n        },\n        \"tooltip\": {\n          \"mode\": \"single\",\n          \"sort\": \"none\"\n        }\n      },\n      \"targets\": [\n        {\n          \"datasource\": {\n            \"type\": \"prometheus\",\n            \"uid\": \"prometheus\"\n          },\n          \"expr\": \"histogram_quantile(0.95, rate(llm_token_generation_rate_bucket[5m]))\",\n          \"interval\": \"\",\n          \"legendFormat\": \"95th percentile\",\n          \"refId\": \"A\"\n        },\n        {\n          \"datasource\": {\n            \"type\": \"prometheus\",\n            \"uid\": \"prometheus\"\n          },\n          \"expr\": \"histogram_quantile(0.50, rate(llm_token_generation_rate_bucket[5m]))\",\n          \"interval\": \"\",\n          \"legendFormat\": \"50th percentile (median)\",\n          \"refId\": \"B\"\n        }\n      ],\n      \"title\": \"Token Generation Rate\",\n      \"type\": \"timeseries\"\n    },\n    {\n      \"datasource\": {\n        \"type\": \"prometheus\",\n        \"uid\": \"prometheus\"\n      },\n      \"fieldConfig\": {\n        \"defaults\": {\n          \"color\": {\n            \"mode\": \"palette-classic\"\n          },\n          \"custom\": {\n            \"axisCenteredZero\": false,\n            \"axisColorMode\": \"text\",\n            \"axisLabel\": \"\",\n            \"axisPlacement\": \"auto\",\n            \"barAlignment\": 0,\n            \"drawStyle\": \"line\",\n            \"fillOpacity\": 10,\n            \"gradientMode\": \"none\",\n            \"hideFrom\": {\n              \"legend\": false,\n              \"tooltip\": false,\n              \"vis\": false\n            },\n            \"lineInterpolation\": \"linear\",\n            \"lineWidth\": 1,\n            \"pointSize\": 5,\n            \"scaleDistribution\": {\n              \"type\": \"linear\"\n            },\n            \"showPoints\": \"never\",\n            \"spanNulls\": false,\n            \"stacking\": {\n              \"group\": \"A\",\n              \"mode\": \"none\"\n            },\n            \"thresholdsStyle\": {\n              \"mode\": \"off\"\n            }\n          },\n          \"mappings\": [],\n          \"thresholds\": {\n            \"mode\": \"absolute\",\n            \"steps\": [\n              {\n                \"color\": \"green\",\n                \"value\": null\n              },\n              {\n                \"color\": \"red\",\n                \"value\": 80\n              }\n            ]\n          },\n          \"unit\": \"s\"\n        },\n        \"overrides\": []\n      },\n      \"gridPos\": {\n        \"h\": 8,\n        \"w\": 12,\n        \"x\": 0,\n        \"y\": 8\n      },\n      \"id\": 3,\n      \"options\": {\n        \"legend\": {\n          \"calcs\": [],\n          \"displayMode\": \"list\",\n          \"placement\": \"bottom\",\n          \"showLegend\": true\n        },\n        \"tooltip\": {\n          \"mode\": \"single\",\n          \"sort\": \"none\"\n        }\n      },\n      \"targets\": [\n        {\n          \"datasource\": {\n            \"type\": \"prometheus\",\n            \"uid\": \"prometheus\"\n          },\n          \"expr\": \"histogram_quantile(0.95, rate(llm_time_to_first_token_seconds_bucket[5m]))\",\n          \"interval\": \"\",\n          \"legendFormat\": \"95th percentile TTFT\",\n          \"refId\": \"A\"\n        },\n        {\n          \"datasource\": {\n            \"type\": \"prometheus\",\n            \"uid\": \"prometheus\"\n          },\n          \"expr\": \"histogram_quantile(0.50, rate(llm_time_to_first_token_seconds_bucket[5m]))\",\n          \"interval\": \"\",\n          \"legendFormat\": \"50th percentile TTFT\",\n          \"refId\": \"B\"\n        }\n      ],\n      \"title\": \"Time to First Token (TTFT)\",\n      \"type\": \"timeseries\"\n    },\n    {\n      \"datasource\": {\n        \"type\": \"prometheus\",\n        \"uid\": \"prometheus\"\n      },\n      \"fieldConfig\": {\n        \"defaults\": {\n          \"color\": {\n            \"mode\": \"palette-classic\"\n          },\n          \"custom\": {\n            \"axisCenteredZero\": false,\n            \"axisColorMode\": \"text\",\n            \"axisLabel\": \"\",\n            \"axisPlacement\": \"auto\",\n            \"barAlignment\": 0,\n            \"drawStyle\": \"line\",\n            \"fillOpacity\": 10,\n            \"gradientMode\": \"none\",\n            \"hideFrom\": {\n              \"legend\": false,\n              \"tooltip\": false,\n              \"vis\": false\n            },\n            \"lineInterpolation\": \"linear\",\n            \"lineWidth\": 1,\n            \"pointSize\": 5,\n            \"scaleDistribution\": {\n              \"type\": \"linear\"\n            },\n            \"showPoints\": \"never\",\n            \"spanNulls\": false,\n            \"stacking\": {\n              \"group\": \"A\",\n              \"mode\": \"none\"\n            },\n            \"thresholdsStyle\": {\n              \"mode\": \"off\"\n            }\n          },\n          \"mappings\": [],\n          \"thresholds\": {\n            \"mode\": \"absolute\",\n            \"steps\": [\n              {\n                \"color\": \"green\",\n                \"value\": null\n              },\n              {\n                \"color\": \"red\",\n                \"value\": 80\n              }\n            ]\n          },\n          \"unit\": \"tokens\"\n        },\n        \"overrides\": []\n      },\n      \"gridPos\": {\n        \"h\": 8,\n        \"w\": 12,\n        \"x\": 12,\n        \"y\": 8\n      },\n      \"id\": 4,\n      \"options\": {\n        \"legend\": {\n          \"calcs\": [],\n          \"displayMode\": \"list\",\n          \"placement\": \"bottom\",\n          \"showLegend\": true\n        },\n        \"tooltip\": {\n          \"mode\": \"single\",\n          \"sort\": \"none\"\n        }\n      },\n      \"targets\": [\n        {\n          \"datasource\": {\n            \"type\": \"prometheus\",\n            \"uid\": \"prometheus\"\n          },\n          \"expr\": \"rate(llm_total_tokens_total{type=\\\"input\\\"}[5m])\",\n          \"interval\": \"\",\n          \"legendFormat\": \"Input tokens/sec\",\n          \"refId\": \"A\"\n        },\n        {\n          \"datasource\": {\n            \"type\": \"prometheus\",\n            \"uid\": \"prometheus\"\n          },\n          \"expr\": \"rate(llm_total_tokens_total{type=\\\"output\\\"}[5m])\",\n          \"interval\": \"\",\n          \"legendFormat\": \"Output tokens/sec\",\n          \"refId\": \"B\"\n        }\n      ],\n      \"title\": \"Token Throughput\",\n      \"type\": \"timeseries\"\n    },\n    {\n      \"datasource\": {\n        \"type\": \"prometheus\",\n        \"uid\": \"prometheus\"\n      },\n      \"fieldConfig\": {\n        \"defaults\": {\n          \"color\": {\n            \"mode\": \"palette-classic\"\n          },\n          \"custom\": {\n            \"axisCenteredZero\": false,\n            \"axisColorMode\": \"text\",\n            \"axisLabel\": \"\",\n            \"axisPlacement\": \"auto\",\n            \"barAlignment\": 0,\n            \"drawStyle\": \"line\",\n            \"fillOpacity\": 10,\n            \"gradientMode\": \"none\",\n            \"hideFrom\": {\n              \"legend\": false,\n              \"tooltip\": false,\n              \"vis\": false\n            },\n            \"lineInterpolation\": \"linear\",\n            \"lineWidth\": 1,\n            \"pointSize\": 5,\n            \"scaleDistribution\": {\n              \"type\": \"linear\"\n            },\n            \"showPoints\": \"never\",\n            \"spanNulls\": false,\n            \"stacking\": {\n              \"group\": \"A\",\n              \"mode\": \"none\"\n            },\n            \"thresholdsStyle\": {\n              \"mode\": \"off\"\n            }\n          },\n          \"mappings\": [],\n          \"thresholds\": {\n            \"mode\": \"absolute\",\n            \"steps\": [\n              {\n                \"color\": \"green\",\n                \"value\": null\n              },\n              {\n                \"color\": \"red\",\n                \"value\": 80\n              }\n            ]\n          },\n          \"unit\": \"errors/sec\"\n        },\n        \"overrides\": []\n      },\n      \"gridPos\": {\n        \"h\": 8,\n        \"w\": 24,\n        \"x\": 0,\n        \"y\": 16\n      },\n      \"id\": 5,\n      \"options\": {\n        \"legend\": {\n          \"calcs\": [],\n          \"displayMode\": \"list\",\n          \"placement\": \"bottom\",\n          \"showLegend\": true\n        },\n        \"tooltip\": {\n          \"mode\": \"single\",\n          \"sort\": \"none\"\n        }\n      },\n      \"targets\": [\n        {\n          \"datasource\": {\n            \"type\": \"prometheus\",\n            \"uid\": \"prometheus\"\n          },\n          \"expr\": \"rate(llm_error_count_total[5m])\",\n          \"interval\": \"\",\n          \"legendFormat\": \"Error rate by model: {{model}}\",\n          \"refId\": \"A\"\n        }\n      ],\n      \"title\": \"LLM Error Rate\",\n      \"type\": \"timeseries\"\n    }\n  ],\n  \"refresh\": \"5s\",\n  \"schemaVersion\": 37,\n  \"style\": \"dark\",\n  \"tags\": [\"nexent\", \"llm\", \"performance\"],\n  \"templating\": {\n    \"list\": []\n  },\n  \"time\": {\n    \"from\": \"now-1h\",\n    \"to\": \"now\"\n  },\n  \"timepicker\": {},\n  \"timezone\": \"\",\n  \"title\": \"Nexent LLM Performance Dashboard\",\n  \"uid\": \"nexent-llm-perf\",\n  \"version\": 1,\n  \"weekStart\": \"\"\n}\n\n"
  },
  {
    "path": "docker/monitoring/grafana/provisioning/dashboards/dashboards.yml",
    "content": "apiVersion: 1\n\nproviders:\n  - name: 'Nexent LLM Monitoring'\n    orgId: 1\n    folder: 'Nexent'\n    type: file\n    disableDeletion: false\n    updateIntervalSeconds: 10\n    allowUiUpdates: true\n    options:\n      path: /var/lib/grafana/dashboards\n\n"
  },
  {
    "path": "docker/monitoring/grafana/provisioning/datasources/datasources.yml",
    "content": "apiVersion: 1\n\ndatasources:\n  - name: Prometheus\n    type: prometheus\n    access: proxy\n    url: http://prometheus:9090\n    isDefault: true\n    editable: true\n\n  - name: Jaeger\n    type: jaeger\n    access: proxy\n    url: http://jaeger:16686\n    editable: true\n\n"
  },
  {
    "path": "docker/monitoring/monitoring.env",
    "content": "# Telemetry and Monitoring Configuration\nENABLE_TELEMETRY=true\nSERVICE_NAME=nexent-backend\nJAEGER_ENDPOINT=http://localhost:14268/api/traces\nPROMETHEUS_PORT=8000\nTELEMETRY_SAMPLE_RATE=1.0\n\n# Performance monitoring thresholds\nLLM_SLOW_REQUEST_THRESHOLD_SECONDS=5.0\nLLM_SLOW_TOKEN_RATE_THRESHOLD=10.0\n\n# Grafana Configuration\nGF_SECURITY_ADMIN_PASSWORD=admin\nGF_USERS_ALLOW_SIGN_UP=false\n\n# Service ports\nJAEGER_UI_PORT=16686\nPROMETHEUS_UI_PORT=9090\nGRAFANA_UI_PORT=3000\nOTEL_COLLECTOR_GRPC_PORT=4317\nOTEL_COLLECTOR_HTTP_PORT=4318\n"
  },
  {
    "path": "docker/monitoring/monitoring.env.example",
    "content": "# Telemetry and Monitoring Configuration\nENABLE_TELEMETRY=true\nSERVICE_NAME=nexent-backend\nJAEGER_ENDPOINT=http://localhost:14268/api/traces\nPROMETHEUS_PORT=8000\nTELEMETRY_SAMPLE_RATE=1.0\n\n# Performance monitoring thresholds\nLLM_SLOW_REQUEST_THRESHOLD_SECONDS=5.0\nLLM_SLOW_TOKEN_RATE_THRESHOLD=10.0\n\n# Grafana Configuration\nGF_SECURITY_ADMIN_PASSWORD=admin\nGF_USERS_ALLOW_SIGN_UP=false\n\n# Service ports\nJAEGER_UI_PORT=16686\nPROMETHEUS_UI_PORT=9090\nGRAFANA_UI_PORT=3000\nOTEL_COLLECTOR_GRPC_PORT=4317\nOTEL_COLLECTOR_HTTP_PORT=4318\n\n"
  },
  {
    "path": "docker/monitoring/otel-collector-config.yml",
    "content": "receivers:\n  otlp:\n    protocols:\n      grpc:\n        endpoint: 0.0.0.0:4317\n      http:\n        endpoint: 0.0.0.0:4318\n  \n  # Prometheus receiver to collect metrics from instrumented apps\n  prometheus:\n    config:\n      scrape_configs:\n        - job_name: 'nexent-backend-otel'\n          static_configs:\n            - targets: ['host.docker.internal:8000']\n          scrape_interval: 5s\n\nprocessors:\n  batch:\n    timeout: 1s\n    send_batch_size: 512\n  \n  # Resource processor to add common attributes\n  resource:\n    attributes:\n      - key: service.name\n        value: nexent-backend\n        action: upsert\n      - key: service.version\n        from_attribute: version\n        action: insert\n\n  # Memory limiter to prevent OOM\n  memory_limiter:\n    limit_mib: 256\n    check_interval: 1s\n\n  # Add attributes specifically for LLM monitoring\n  attributes:\n    actions:\n      - key: llm.system\n        value: openai\n        action: insert\n      - key: deployment.environment\n        value: development\n        action: insert\n\nexporters:\n  # Export traces to Jaeger via OTLP\n  otlp/jaeger:\n    endpoint: jaeger:14250\n    tls:\n      insecure: true\n\n  # Export metrics to Prometheus\n  prometheus:\n    endpoint: \"0.0.0.0:8889\"\n    resource_to_telemetry_conversion:\n      enabled: true\n\n  # Logging exporter for debugging\n  logging:\n    verbosity: normal\n\nservice:\n  extensions: []\n  pipelines:\n    traces:\n      receivers: [otlp]\n      processors: [memory_limiter, resource, batch]\n      exporters: [otlp/jaeger, logging]\n    \n    metrics:\n      receivers: [otlp, prometheus]\n      processors: [memory_limiter, resource, attributes, batch]\n      exporters: [prometheus, logging]\n  \n  telemetry:\n    logs:\n      level: \"info\"\n"
  },
  {
    "path": "docker/monitoring/prometheus.yml",
    "content": "global:\n  scrape_interval: 15s\n  evaluation_interval: 15s\n\nrule_files:\n  # Load rules once and periodically evaluate them according to the global 'evaluation_interval'.\n  - \"nexent_alerts.yml\"\n\nscrape_configs:\n  # Nexent Backend - LLM Metrics\n  - job_name: 'nexent-backend'\n    static_configs:\n      - targets: ['host.docker.internal:8000']  # Adjust based on your backend service\n    scrape_interval: 15s\n    metrics_path: /metrics\n    scrape_timeout: 10s\n\n  # OpenTelemetry Collector\n  - job_name: 'otel-collector'\n    static_configs:\n      - targets: ['otel-collector:8888']\n    scrape_interval: 10s\n\n  # Prometheus self-monitoring\n  - job_name: 'prometheus'\n    static_configs:\n      - targets: ['localhost:9090']\n\n  # Jaeger Metrics\n  - job_name: 'jaeger'\n    static_configs:\n      - targets: ['jaeger:14269']\n\n# Alertmanager configuration (optional)\n# alerting:\n#   alertmanagers:\n#     - static_configs:\n#         - targets:\n#           - alertmanager:9093\n"
  },
  {
    "path": "docker/openssh-install-script.sh",
    "content": "#!/usr/bin/with-contenv bash\n\n# Set error handling\nset -e\n\n# Install required packages\necho \"Installing required packages...\"\napk update\napk add --no-cache \\\n  python3 \\\n  py3-pip \\\n  py3-virtualenv \\\n  curl \\\n  vim \\\n  git \\\n  wget\n\necho \"Package installation completed successfully!\"\n\n# Configure SSH timeout settings for nexent terminal tool\necho \"Configuring SSH timeout settings (60 minutes)...\"\n\n# Fix SSH host key permissions (must be 600 for private keys)\necho \"Fixing SSH host key permissions...\"\nfind /config -name \"*_key\" -type f -exec chmod 600 {} \\; 2>/dev/null || true\nfind /config/ssh_host_keys -name \"*_key\" -type f -exec chmod 600 {} \\; 2>/dev/null || true\necho \"SSH host key permissions fixed\"\n\n# Append timeout configuration to sshd_config\ncat >> /config/sshd/sshd_config << 'SSHD_EOF'\n\n# Nexent Terminal Tool - Session timeout configuration (60 minutes = 3600 seconds)\nClientAliveInterval 300\nClientAliveCountMax 12\nSSHD_EOF\n\necho \"SSH timeout configuration applied successfully\"\n"
  },
  {
    "path": "docker/scripts/sync_user_supabase2pg.py",
    "content": "#!/usr/bin/env python3\n\"\"\"\nUpdate user data script for v1.8.0 upgrade.\nThis script updates user_email and user_role in the user_tenant_t table.\n\nUsage (run inside nexent-config container):\n    python sync_user_supabase2pg.py [--dry-run]\n\nOptions:\n    --dry-run: Show what would be updated without making changes\n    --verbose: Enable verbose debug output\n\nEnvironment variables are loaded from Docker container environment.\n\"\"\"\n\nimport os\nimport sys\nimport argparse\nimport logging\nimport requests\n\n# Setup logging\nlogging.basicConfig(\n    level=logging.INFO,\n    format='%(asctime)s - %(levelname)s - %(message)s'\n)\nlogger = logging.getLogger(__name__)\n\n# Constants\nDEFAULT_TENANT_ID = \"tenant_id\"\nDEFAULT_USER_ID = \"user_id\"\nLEGACY_ADMIN_EMAIL = \"nexent@example.com\"\n\n\ndef check_docker_containers():\n    \"\"\"Check if required Docker containers are running\"\"\"\n    try:\n        import subprocess\n        result = subprocess.run(\n            ['docker', 'ps', '--format', '{{.Names}}'],\n            capture_output=True,\n            text=True,\n            timeout=10\n        )\n\n        if result.returncode == 0:\n            containers = result.stdout.strip().split('\\n')\n            logger.info(f\"Running containers: {containers}\")\n\n            required_containers = ['nexent-postgresql']\n            missing = [c for c in required_containers if c not in containers]\n\n            if missing:\n                logger.warning(f\"Missing required containers: {missing}\")\n                logger.info(\"Please ensure Docker containers are running with: docker compose up -d\")\n                return False\n\n            return True\n        else:\n            logger.warning(\"Could not query Docker containers\")\n            return None\n    except FileNotFoundError:\n        logger.warning(\"Docker not available on this system\")\n        return None\n    except Exception as e:\n        logger.warning(f\"Error checking Docker containers: {e}\")\n        return None\n\n\ndef test_connection_with_psql(conn_params):\n    \"\"\"Test connection using psql command if available\"\"\"\n    try:\n        import subprocess\n\n        password = conn_params.get('password', '')\n        env = os.environ.copy()\n\n        cmd = [\n            'psql',\n            '-h', conn_params.get('host', 'localhost'),\n            '-p', str(conn_params.get('port', 5434)),\n            '-U', conn_params.get('user', 'nexent'),\n            '-d', conn_params.get('database', 'nexent'),\n            '-c', 'SELECT 1;'\n        ]\n\n        if password:\n            env['PGPASSWORD'] = password\n\n        result = subprocess.run(\n            cmd,\n            capture_output=True,\n            text=True,\n            timeout=10,\n            env=env\n        )\n\n        if result.returncode == 0:\n            logger.info(\"psql connection test: SUCCESS\")\n            return True\n        else:\n            logger.warning(f\"psql connection test failed: {result.stderr}\")\n            return False\n    except FileNotFoundError:\n        logger.debug(\"psql not available, skipping command-line test\")\n        return None\n    except Exception as e:\n        logger.debug(f\"psql test error: {e}\")\n        return None\n\n\ndef load_environment_from_container():\n    \"\"\"\n    Validate and display environment variables from container environment.\n    Environment variables are already set by Docker via env_file directive.\n    \"\"\"\n    required_vars = [\n        'POSTGRES_DB',\n        'POSTGRES_USER',\n        'NEXENT_POSTGRES_PASSWORD',\n        'POSTGRES_HOST',\n        'POSTGRES_PORT',\n        'SERVICE_ROLE_KEY'\n    ]\n\n    missing = [var for var in required_vars if not os.getenv(var)]\n    if missing:\n        logger.error(f\"Missing required environment variables: {missing}\")\n        return False\n\n    logger.info(\"Environment variables loaded from container\")\n    return True\n\n\ndef get_postgres_connection_params():\n    \"\"\"Get PostgreSQL connection parameters from environment\"\"\"\n    # Validate environment variables are set\n    load_environment_from_container()\n\n    # Default port for docker-compose is 5434\n    params = {\n        'host': os.getenv('POSTGRES_HOST', '127.0.0.1'),\n        'port': os.getenv('POSTGRES_PORT', '5434'),\n        'database': os.getenv('POSTGRES_DB', 'nexent'),\n        'user': os.getenv('POSTGRES_USER', 'nexent'),\n        'password': os.getenv('NEXENT_POSTGRES_PASSWORD', '')\n    }\n\n    logger.info(\"Database connection parameters:\")\n    logger.info(f\"  Host: {params['host']}\")\n    logger.info(f\"  Port: {params['port']}\")\n    logger.info(f\"  Database: {params['database']}\")\n    logger.info(f\"  User: {params['user']}\")\n    logger.info(f\"  Password: {'*' * len(params['password']) if params['password'] else '(empty)'}\")\n\n    return params\n\n\ndef get_supabase_params():\n    \"\"\"Get Supabase connection parameters from environment\"\"\"\n    service_role_key = os.getenv('SERVICE_ROLE_KEY', '')\n    service_role_key = service_role_key.strip('\"').strip(\"'\")\n\n    supabase_url = os.getenv('SUPABASE_URL', 'http://127.0.0.1:8000')\n\n    params = {\n        'url': supabase_url,\n        'key': service_role_key\n    }\n\n    if not params['key']:\n        logger.warning(\"SERVICE_ROLE_KEY is not set\")\n\n    return params\n\n\ndef get_db_connection(conn_params):\n    \"\"\"Get database connection\"\"\"\n    import psycopg2\n    try:\n        # First test basic connectivity\n        logger.info(f\"Attempting to connect to PostgreSQL at {conn_params.get('host')}:{conn_params.get('port')}...\")\n        conn = psycopg2.connect(**conn_params)\n        logger.info(\"Database connection established successfully\")\n        return conn\n    except psycopg2.OperationalError as e:\n        logger.error(f\"Database connection failed: {e}\")\n        logger.error(\"Please check:\")\n        logger.error(\"  1. PostgreSQL is running\")\n        logger.error(\"  2. Host/port configuration is correct\")\n        logger.error(\"  3. Credentials are correct\")\n        logger.error(\"  4. Network is accessible\")\n        return None\n    except Exception as e:\n        logger.error(f\"Unexpected database error: {e}\")\n        return None\n\n\ndef fetch_all_user_tenant_records(conn):\n    \"\"\"Fetch all user_tenant records from database\"\"\"\n    try:\n        cursor = conn.cursor()\n        query = \"\"\"\n                SELECT user_id, tenant_id, user_role, user_email\n                FROM nexent.user_tenant_t\n                WHERE delete_flag = 'N'\n                ORDER BY user_id \\\n                \"\"\"\n        cursor.execute(query)\n        records = cursor.fetchall()\n        cursor.close()\n\n        # Convert to list of dicts\n        result = []\n        for row in records:\n            result.append({\n                'user_id': row[0],\n                'tenant_id': row[1],\n                'user_role': row[2],\n                'user_email': row[3]\n            })\n\n        logger.info(f\"Fetched {len(result)} user_tenant records from database\")\n        return result\n    except Exception as e:\n        logger.error(f\"Failed to fetch user_tenant records: {e}\")\n        return []\n\n\ndef get_user_email_from_supabase(user_id, supabase_url, service_role_key):\n    \"\"\"\n    Get user email from Supabase by user ID using REST API.\n\n    Args:\n        user_id: The user's UUID\n        supabase_url: Supabase API URL\n        service_role_key: Service role key for admin access\n\n    Returns:\n        User's email address or None if not found\n\n    Note: SPEED system user (user_id=\"user_id\") is virtual and doesn't exist in Supabase.\n    \"\"\"\n    # Skip Supabase lookup for virtual SPEED system user\n    if user_id == DEFAULT_USER_ID:\n        logger.debug(f\"User {user_id} is virtual SPEED user, skipping Supabase lookup\")\n        return None\n\n    if not supabase_url or not service_role_key:\n        logger.warning(\"Supabase URL or service role key not configured\")\n        return None\n\n    # Clean up URL (remove trailing slash)\n    supabase_url = supabase_url.rstrip('/')\n\n    try:\n        headers = {\n            'Authorization': f'Bearer {service_role_key}',\n            'apikey': service_role_key,\n            'Content-Type': 'application/json'\n        }\n\n        # Get user by ID via REST API\n        response = requests.get(\n            f'{supabase_url}/auth/v1/admin/users/{user_id}',\n            headers=headers,\n            timeout=10\n        )\n\n        if response.status_code == 200:\n            user_data = response.json()\n            email = user_data.get('email')\n            if email:\n                logger.debug(f\"Fetched email for user {user_id}: {email}\")\n                return email\n            else:\n                logger.warning(f\"User {user_id} has no email in Supabase\")\n                return None\n        elif response.status_code == 404:\n            logger.warning(f\"User {user_id} not found in Supabase\")\n            return None\n        elif response.status_code == 401:\n            logger.error(\"Unauthorized: Check your SERVICE_ROLE_KEY\")\n            return None\n        else:\n            logger.warning(f\"Failed to fetch user {user_id}: HTTP {response.status_code} - {response.text}\")\n            return None\n\n    except requests.exceptions.ConnectionError as e:\n        logger.warning(f\"Cannot connect to Supabase for user {user_id}: {e}\")\n        return None\n    except requests.exceptions.Timeout as e:\n        logger.warning(f\"Request timeout for user {user_id}: {e}\")\n        return None\n    except Exception as e:\n        logger.warning(f\"Error fetching user {user_id} from Supabase: {e}\")\n        return None\n\n\ndef determine_user_role(user_id, tenant_id, user_email):\n    \"\"\"\n    Determine user_role based on rules:\n    1. Special case: user_id == \"user_id\" AND tenant_id == \"tenant_id\" → SPEED (default system user)\n    2. If user_id == tenant_id → ADMIN\n    3. If user_email == LEGACY_ADMIN_EMAIL → ADMIN\n    4. Otherwise → USER\n    \"\"\"\n    # Rule 0: Default system user (user_id=\"user_id\", tenant_id=\"tenant_id\") → SPEED\n    if user_id == DEFAULT_USER_ID and tenant_id == DEFAULT_TENANT_ID:\n        return \"SPEED\"\n\n    # Rule 1: user_id == tenant_id → ADMIN\n    if user_id == tenant_id:\n        return \"ADMIN\"\n\n    # Rule 2: Special admin email → ADMIN\n    if user_email and user_email.lower() == LEGACY_ADMIN_EMAIL.lower():\n        return \"ADMIN\"\n\n    # Rule 3: If tenant_id is empty, set it to SU\n    if not tenant_id:\n        return \"SU\"\n\n    # Default: USER\n    return \"USER\"\n\n\ndef update_user_record(conn, user_id, user_email, user_role):\n    \"\"\"Update a single user record in database\"\"\"\n    try:\n        cursor = conn.cursor()\n        query = \"\"\"\n                UPDATE nexent.user_tenant_t\n                SET user_email  = %s,\n                    user_role   = %s,\n                    updated_by  = 'system',\n                    update_time = NOW()\n                WHERE user_id = %s \\\n                  AND delete_flag = 'N' \\\n                \"\"\"\n        cursor.execute(query, (user_email, user_role, user_id))\n        affected = cursor.rowcount\n        cursor.close()\n        conn.commit()\n        return affected > 0\n    except Exception as e:\n        logger.error(f\"Failed to update user {user_id}: {e}\")\n        conn.rollback()\n        return False\n\n\ndef process_user_records(conn, supabase_params, records, dry_run=False):\n    \"\"\"\n    Process all user records:\n    1. Fetch email from Supabase (if not already set or overwrite is True)\n    2. Determine user_role based on rules\n    3. Update database\n    \"\"\"\n    supabase_url = supabase_params['url']\n    service_role_key = supabase_params['key']\n\n    results = {\n        'total': len(records),\n        'updated': 0,\n        'skipped': 0,\n        'failed': 0,\n        'details': []\n    }\n\n    for record in records:\n        user_id = record['user_id']\n        tenant_id = record['tenant_id']\n        old_email = record.get('user_email')\n        old_role = record.get('user_role')\n\n        # Get email from Supabase using REST API\n        user_email = get_user_email_from_supabase(user_id, supabase_url, service_role_key)\n\n        if not user_email:\n            # Keep existing email if no new email from Supabase\n            user_email = old_email\n            if not old_email:\n                logger.warning(f\"Could not fetch email from Supabase for user {user_id}, and no existing email\")\n\n        # Determine user_role\n        user_role = determine_user_role(user_id, tenant_id, user_email)\n\n        # Check if update is needed\n        email_changed = user_email != old_email\n        role_changed = user_role != old_role\n\n        if not email_changed and not role_changed:\n            results['skipped'] += 1\n            results['details'].append({\n                'user_id': user_id,\n                'status': 'skipped',\n                'reason': 'No changes needed'\n            })\n            continue\n\n        if dry_run:\n            logger.info(f\"[DRY-RUN] Would update user {user_id}:\")\n            logger.info(f\"  Email: {old_email} -> {user_email}\")\n            logger.info(f\"  Role: {old_role} -> {user_role}\")\n            results['updated'] += 1\n            results['details'].append({\n                'user_id': user_id,\n                'status': 'dry-run',\n                'old_email': old_email,\n                'new_email': user_email,\n                'old_role': old_role,\n                'new_role': user_role\n            })\n        else:\n            if update_user_record(conn, user_id, user_email, user_role):\n                logger.info(f\"Updated user {user_id}: email={user_email}, role={user_role}\")\n                results['updated'] += 1\n                results['details'].append({\n                    'user_id': user_id,\n                    'status': 'success',\n                    'old_email': old_email,\n                    'new_email': user_email,\n                    'old_role': old_role,\n                    'new_role': user_role\n                })\n            else:\n                results['failed'] += 1\n                results['details'].append({\n                    'user_id': user_id,\n                    'status': 'failed',\n                    'reason': 'Update failed'\n                })\n\n    return results\n\n\ndef print_results(results):\n    \"\"\"Print processing results\"\"\"\n    logger.info(\"=\" * 60)\n    logger.info(\"Processing Results:\")\n    logger.info(f\"  Total records: {results['total']}\")\n    logger.info(f\"  Updated: {results['updated']}\")\n    logger.info(f\"  Skipped: {results['skipped']}\")\n    logger.info(f\"  Failed: {results['failed']}\")\n    logger.info(\"=\" * 60)\n\n    # Print details for updated records\n    if results['details']:\n        logger.info(\"\\nUpdated/Skipped Records:\")\n        for detail in results['details']:\n            if detail['status'] in ['success', 'dry-run']:\n                logger.info(f\"  User {detail['user_id']}:\")\n                if 'new_email' in detail:\n                    logger.info(f\"    Email: {detail['old_email']} -> {detail['new_email']}\")\n                if 'new_role' in detail:\n                    logger.info(f\"    Role: {detail['old_role']} -> {detail['new_role']}\")\n\n\ndef test_supabase_connection(supabase_params):\n    \"\"\"Test Supabase connection by listing users\"\"\"\n    supabase_url = supabase_params['url'].rstrip('/')\n    service_role_key = supabase_params['key']\n\n    try:\n        headers = {\n            'Authorization': f'Bearer {service_role_key}',\n            'apikey': service_role_key,\n            'Content-Type': 'application/json'\n        }\n\n        # Test by listing users (limit 1)\n        response = requests.get(\n            f'{supabase_url}/auth/v1/admin/users?page=1&per_page=1',\n            headers=headers,\n            timeout=10\n        )\n\n        if response.status_code == 200:\n            logger.info(\"Supabase connection test: SUCCESS\")\n            return True\n        elif response.status_code == 401:\n            logger.error(\"Supabase connection test: FAILED (401 Unauthorized)\")\n            logger.error(\"Please check your SERVICE_ROLE_KEY\")\n            return False\n        else:\n            logger.warning(f\"Supabase connection test: HTTP {response.status_code}\")\n            return False\n\n    except requests.exceptions.ConnectionError as e:\n        logger.error(f\"Cannot connect to Supabase: {e}\")\n        return False\n    except Exception as e:\n        logger.error(f\"Supabase connection test failed: {e}\")\n        return False\n\n\ndef main():\n    \"\"\"Main function\"\"\"\n    parser = argparse.ArgumentParser(\n        description='Update user data for v2 upgrade'\n    )\n    parser.add_argument(\n        '--dry-run',\n        action='store_true',\n        help='Show what would be updated without making changes'\n    )\n    parser.add_argument(\n        '--verbose',\n        action='store_true',\n        help='Enable verbose debug output'\n    )\n    args = parser.parse_args()\n\n    if args.verbose:\n        logging.getLogger().setLevel(logging.DEBUG)\n\n    logger.info(\"=\" * 60)\n    logger.info(\"User Data Update Script (v2 upgrade)\")\n    logger.info(\"=\" * 60)\n\n    if args.dry_run:\n        logger.info(\"Mode: DRY-RUN (no changes will be made)\")\n\n    # Step 0: Check Docker containers\n    logger.info(\"\\n[Step 0/6] Checking Docker containers...\")\n    docker_status = check_docker_containers()\n    if docker_status is False:\n        logger.error(\"Required Docker containers are not running\")\n        logger.info(\"Ensure nexent-postgresql container is running\")\n        sys.exit(1)\n\n    # Step 1: Validate environment variables\n    logger.info(\"\\n[Step 1/6] Loading environment variables...\")\n    if not load_environment_from_container():\n        logger.error(\"Failed to load environment variables\")\n        sys.exit(1)\n\n    # Step 2: Get Supabase parameters and test connection\n    logger.info(\"\\n[Step 2/6] Testing Supabase connection...\")\n    supabase_params = get_supabase_params()\n    if not supabase_params['url'] or not supabase_params['key']:\n        logger.error(\"SUPABASE_URL and SERVICE_ROLE_KEY must be set in environment\")\n        sys.exit(1)\n\n    logger.info(f\"  Supabase URL: {supabase_params['url']}\")\n    logger.info(f\"  Service Role Key: {supabase_params['key'][:20]}...{supabase_params['key'][-10:]}\")\n\n    if not test_supabase_connection(supabase_params):\n        logger.error(\"Failed to connect to Supabase\")\n        sys.exit(1)\n\n    # Step 3: Connect to database\n    logger.info(\"\\n[Step 3/6] Connecting to PostgreSQL database...\")\n    conn_params = get_postgres_connection_params()\n    conn = get_db_connection(conn_params)\n    if not conn:\n        logger.error(\"Failed to connect to database\")\n        # Try psql as fallback\n        test_connection_with_psql(conn_params)\n        sys.exit(1)\n\n    try:\n        # Step 4: Fetch all user_tenant records\n        logger.info(\"\\n[Step 4/6] Fetching user_tenant records...\")\n        records = fetch_all_user_tenant_records(conn)\n        if not records:\n            logger.warning(\"No user_tenant records found\")\n            return\n\n        # Step 5: Process records\n        logger.info(\"\\n[Step 5/6] Processing records...\")\n        results = process_user_records(conn, supabase_params, records, dry_run=args.dry_run)\n        print_results(results)\n\n        # Step 6: Summary\n        logger.info(\"\\n[Step 6/6] Upgrade completed\")\n\n        if args.dry_run:\n            logger.info(\"\\nTo apply these changes, run without --dry-run flag\")\n\n    finally:\n        # Close database connection\n        if conn:\n            conn.close()\n            logger.info(\"\\nDatabase connection closed\")\n\n\nif __name__ == \"__main__\":\n    main()\n"
  },
  {
    "path": "docker/scripts/v180_sync_user_metadata.sh",
    "content": "#!/bin/bash\n#\n# v1.8.0 User Metadata Sync Script\n# This script executes the user data update script inside the nexent-config container.\n#\n# Usage:\n#   ./v180_sync_user_metadata.sh [--dry-run]\n#\n# Options:\n#   --dry-run    Show what would be updated without making changes\n#\n\nset -e\n\nCONTAINER_NAME=\"nexent-config\"\nSCRIPT_PATH=\"/opt/sync_user_supabase2pg.py\"\n\n# Colors for output\nRED='\\033[0;31m'\nGREEN='\\033[0;32m'\nYELLOW='\\033[1;33m'\nNC='\\033[0m' # No Color\n\nlog_info() {\n    echo -e \"${GREEN}[INFO]${NC} $1\"\n}\n\nlog_warn() {\n    echo -e \"${YELLOW}[WARN]${NC} $1\"\n}\n\nlog_error() {\n    echo -e \"${RED}[ERROR]${NC} $1\"\n}\n\n# Clear Windows Git Bash path variables that cause path resolution issues in containers\n# These variables contain Windows-style paths (e.g., C:/Program Files/Git) which break\n# container execution when inherited\n\n# Check if nexent-config container is running\nDRY_RUN=false\nfor arg in \"$@\"; do\n    case $arg in\n        --dry-run)\n            DRY_RUN=true\n            shift\n            ;;\n        *)\n            ;;\n    esac\ndone\n\n# Check if nexent-config container is running\nlog_info \"Checking if container '$CONTAINER_NAME' is running...\"\nif ! docker ps --format '{{.Names}}' | grep -q \"^${CONTAINER_NAME}$\"; then\n    log_error \"Container '$CONTAINER_NAME' is not running\"\n    log_info \"Please start the containers with: cd docker && docker compose up -d\"\n    exit 1\nfi\n\nlog_info \"Container '$CONTAINER_NAME' is running\"\n\n# Execute the script inside the container\nlog_info \"Executing sync script inside container...\"\n\n# Use 'sh -c' wrapper to execute the command inside the container.\n# This is a workaround for Windows Git Bash's execve() argument parsing issue\n# where paths containing forward slashes get incorrectly interpreted.\n# By wrapping the command in 'sh -c', the container's shell handles argument parsing.\nif [ \"$DRY_RUN\" = true ]; then\n    log_info \"Mode: DRY-RUN (no changes will be made)\"\n    docker exec \"$CONTAINER_NAME\" sh -c \"python $SCRIPT_PATH --dry-run\"\nelse\n    docker exec \"$CONTAINER_NAME\" sh -c \"python $SCRIPT_PATH\"\nfi\n\nEXIT_CODE=$?\n\nif [ $EXIT_CODE -eq 0 ]; then\n    log_info \"Script executed successfully\"\nelse\n    log_error \"Script failed with exit code: $EXIT_CODE\"\n    exit $EXIT_CODE\nfi"
  },
  {
    "path": "docker/sql/v1.1.0_0619_add_tenant_config_t.sql",
    "content": "-- 1. 为knowledge_record_t表添加knowledge_sources列\nALTER TABLE nexent.knowledge_record_t\nADD COLUMN IF NOT EXISTS \"knowledge_sources\" varchar(100) COLLATE \"pg_catalog\".\"default\";\n\n-- 添加列注释\nCOMMENT ON COLUMN nexent.knowledge_record_t.\"knowledge_sources\" IS 'Knowledge base sources';\n\n\n-- 2. 创建tenant_config_t表\nCREATE TABLE IF NOT EXISTS nexent.tenant_config_t (\n    tenant_config_id SERIAL PRIMARY KEY NOT NULL,\n    tenant_id VARCHAR(100),\n    user_id VARCHAR(100),\n    value_type VARCHAR(100),\n    config_key VARCHAR(100),\n    config_value VARCHAR(10000),\n    create_time TIMESTAMP WITHOUT TIME ZONE DEFAULT CURRENT_TIMESTAMP,\n    update_time TIMESTAMP WITHOUT TIME ZONE DEFAULT CURRENT_TIMESTAMP,\n    created_by VARCHAR(100),\n    updated_by VARCHAR(100),\n    delete_flag VARCHAR(1) DEFAULT 'N'\n);\n\n-- 添加表注释\nCOMMENT ON TABLE nexent.tenant_config_t IS 'Tenant configuration information table';\n\n-- 添加列注释\nCOMMENT ON COLUMN nexent.tenant_config_t.tenant_config_id IS 'ID';\nCOMMENT ON COLUMN nexent.tenant_config_t.tenant_id IS 'Tenant ID';\nCOMMENT ON COLUMN nexent.tenant_config_t.user_id IS 'User ID';\nCOMMENT ON COLUMN nexent.tenant_config_t.value_type IS 'Value type';\nCOMMENT ON COLUMN nexent.tenant_config_t.config_key IS 'Config key';\nCOMMENT ON COLUMN nexent.tenant_config_t.config_value IS 'Config value';\nCOMMENT ON COLUMN nexent.tenant_config_t.create_time IS 'Creation time';\nCOMMENT ON COLUMN nexent.tenant_config_t.update_time IS 'Update time';\nCOMMENT ON COLUMN nexent.tenant_config_t.created_by IS 'Creator';\nCOMMENT ON COLUMN nexent.tenant_config_t.updated_by IS 'Updater';\nCOMMENT ON COLUMN nexent.tenant_config_t.delete_flag IS 'Whether it is deleted. Optional values: Y/N';\n\n-- 创建更新update_time的函数\nCREATE OR REPLACE FUNCTION update_tenant_config_update_time()\nRETURNS TRIGGER AS $$\nBEGIN\n    NEW.update_time = CURRENT_TIMESTAMP;\n    RETURN NEW;\nEND;\n$$ LANGUAGE plpgsql;\n\n-- 添加函数注释\nCOMMENT ON FUNCTION update_tenant_config_update_time() IS 'Function to update the update_time column when a record in tenant_config_t is updated';\n\n-- 创建触发器\nDROP TRIGGER IF EXISTS update_tenant_config_update_time_trigger ON nexent.tenant_config_t;\nCREATE TRIGGER update_tenant_config_update_time_trigger\nBEFORE UPDATE ON nexent.tenant_config_t\nFOR EACH ROW\nEXECUTE FUNCTION update_tenant_config_update_time();\n\n-- 添加触发器注释\nCOMMENT ON TRIGGER update_tenant_config_update_time_trigger ON nexent.tenant_config_t\nIS 'Trigger to call update_tenant_config_update_time function before each update on tenant_config_t table';\n\nALTER TABLE model_record_t\nADD COLUMN IF NOT EXISTS tenant_id varchar(100) COLLATE pg_catalog.default DEFAULT 'tenant_id';\nCOMMENT ON COLUMN \"model_record_t\".\"tenant_id\" IS 'Tenant ID for filtering';"
  },
  {
    "path": "docker/sql/v1.2.0_0627_increase_config_value_length.sql",
    "content": "-- Incremental SQL to alter config_value column length in nexent.tenant_config_t table\n\n-- Check if the table exists before attempting to alter it\nDO $$\nBEGIN\n    IF EXISTS (\n        SELECT 1\n        FROM information_schema.tables\n        WHERE table_schema = 'nexent'\n        AND table_name = 'tenant_config_t'\n    ) THEN\n        -- Alter the column length\n        EXECUTE 'ALTER TABLE nexent.tenant_config_t ALTER COLUMN config_value TYPE VARCHAR(10000)';\n\n        -- Log the change\n        RAISE NOTICE 'Altered config_value column length from VARCHAR(100) to VARCHAR(10000) in nexent.tenant_config_t';\n    ELSE\n        RAISE NOTICE 'Table nexent.tenant_config_t does not exist, skipping alteration';\n    END IF;\nEND $$;"
  },
  {
    "path": "docker/sql/v1.3.0_0630_add_mcp_record_t.sql",
    "content": "-- Migration: Add mcp_record_t table\n-- Date: 2024-06-30\n-- Description: Create MCP (Model Context Protocol) records table with audit fields\n\n-- Set search path to nexent schema\nSET search_path TO nexent;\n\n-- Create the mcp_record_t table in the nexent schema\nCREATE TABLE IF NOT EXISTS nexent.mcp_record_t (\n    mcp_id SERIAL PRIMARY KEY NOT NULL,\n    tenant_id VARCHAR(100),\n    user_id VARCHAR(100),\n    mcp_name VARCHAR(100),\n    mcp_server VARCHAR(500),\n    create_time TIMESTAMP WITHOUT TIME ZONE DEFAULT CURRENT_TIMESTAMP,\n    update_time TIMESTAMP WITHOUT TIME ZONE DEFAULT CURRENT_TIMESTAMP,\n    created_by VARCHAR(100),\n    updated_by VARCHAR(100),\n    delete_flag VARCHAR(1) DEFAULT 'N'\n);\n\nALTER TABLE \"mcp_record_t\" OWNER TO \"root\";\n\n-- Add comment to the table\nCOMMENT ON TABLE nexent.mcp_record_t IS 'MCP (Model Context Protocol) records table';\n\n-- Add comments to the columns\nCOMMENT ON COLUMN nexent.mcp_record_t.mcp_id IS 'MCP record ID, unique primary key';\nCOMMENT ON COLUMN nexent.mcp_record_t.tenant_id IS 'Tenant ID';\nCOMMENT ON COLUMN nexent.mcp_record_t.user_id IS 'User ID';\nCOMMENT ON COLUMN nexent.mcp_record_t.mcp_name IS 'MCP name';\nCOMMENT ON COLUMN nexent.mcp_record_t.mcp_server IS 'MCP server address';\nCOMMENT ON COLUMN nexent.mcp_record_t.create_time IS 'Creation time, audit field';\nCOMMENT ON COLUMN nexent.mcp_record_t.update_time IS 'Update time, audit field';\nCOMMENT ON COLUMN nexent.mcp_record_t.created_by IS 'Creator ID, audit field';\nCOMMENT ON COLUMN nexent.mcp_record_t.updated_by IS 'Last updater ID, audit field';\nCOMMENT ON COLUMN nexent.mcp_record_t.delete_flag IS 'When deleted by user frontend, delete flag will be set to true, achieving soft delete effect. Optional values Y/N';\n\n-- Create a function to update the update_time column\nCREATE OR REPLACE FUNCTION update_mcp_record_update_time()\nRETURNS TRIGGER AS $$\nBEGIN\n    NEW.update_time = CURRENT_TIMESTAMP;\n    RETURN NEW;\nEND;\n$$ LANGUAGE plpgsql;\n\n-- Add comment to the function\nCOMMENT ON FUNCTION update_mcp_record_update_time() IS 'Function to update the update_time column when a record in mcp_record_t is updated';\n\n-- Create a trigger to call the function before each update\nDROP TRIGGER IF EXISTS update_mcp_record_update_time_trigger ON nexent.mcp_record_t;\nCREATE TRIGGER update_mcp_record_update_time_trigger\nBEFORE UPDATE ON nexent.mcp_record_t\nFOR EACH ROW\nEXECUTE FUNCTION update_mcp_record_update_time();\n\n-- Add comment to the trigger\nCOMMENT ON TRIGGER update_mcp_record_update_time_trigger ON nexent.mcp_record_t IS 'Trigger to call update_mcp_record_update_time function before each update on mcp_record_t table';\n"
  },
  {
    "path": "docker/sql/v1.4.0_0708_add_user_tenant_t.sql",
    "content": "-- Create user tenant relationship table\nCREATE TABLE IF NOT EXISTS nexent.user_tenant_t (\n    user_tenant_id SERIAL PRIMARY KEY,\n    user_id VARCHAR(100) NOT NULL,\n    tenant_id VARCHAR(100) NOT NULL,\n    create_time TIMESTAMP WITHOUT TIME ZONE DEFAULT NOW(),\n    update_time TIMESTAMP WITHOUT TIME ZONE DEFAULT NOW(),\n    created_by VARCHAR(100),\n    updated_by VARCHAR(100),\n    delete_flag CHAR(1) DEFAULT 'N',\n    UNIQUE(user_id, tenant_id)\n);\n\n-- Add comment\nCOMMENT ON TABLE nexent.user_tenant_t IS 'User tenant relationship table';\nCOMMENT ON COLUMN nexent.user_tenant_t.user_tenant_id IS 'User tenant relationship ID, primary key';\nCOMMENT ON COLUMN nexent.user_tenant_t.user_id IS 'User ID';\nCOMMENT ON COLUMN nexent.user_tenant_t.tenant_id IS 'Tenant ID';\nCOMMENT ON COLUMN nexent.user_tenant_t.create_time IS 'Create time';\nCOMMENT ON COLUMN nexent.user_tenant_t.update_time IS 'Update time';\nCOMMENT ON COLUMN nexent.user_tenant_t.created_by IS 'Created by';\nCOMMENT ON COLUMN nexent.user_tenant_t.updated_by IS 'Updated by';\nCOMMENT ON COLUMN nexent.user_tenant_t.delete_flag IS 'Delete flag, Y/N'; "
  },
  {
    "path": "docker/sql/v1.5.0_0715_add_knowledge_describe_length.sql",
    "content": "ALTER TABLE nexent.knowledge_record_t\n  ALTER COLUMN knowledge_describe TYPE varchar(3000);"
  },
  {
    "path": "docker/sql/v1.5.0_0716_add_status_to_mcp_record_t.sql",
    "content": "ALTER TABLE nexent.mcp_record_t\nADD COLUMN IF NOT EXISTS status BOOLEAN DEFAULT NULL;\nCOMMENT ON COLUMN nexent.mcp_record_t.status IS 'MCP server connection status, true=connected, false=disconnected, null=unknown'; "
  },
  {
    "path": "docker/sql/v1.6.0_0722_modify_tenant_agent.sql",
    "content": "-- Migration script to add new prompt fields to ag_tenant_agent_t table\n-- Add three new columns for storing segmented prompt content\n\n-- Add duty_prompt column\nALTER TABLE nexent.ag_tenant_agent_t\nADD COLUMN IF NOT EXISTS duty_prompt TEXT;\n\n-- Add constraint_prompt column\nALTER TABLE nexent.ag_tenant_agent_t\nADD COLUMN IF NOT EXISTS constraint_prompt TEXT;\n\n-- Add few_shots_prompt column\nALTER TABLE nexent.ag_tenant_agent_t\nADD COLUMN IF NOT EXISTS few_shots_prompt TEXT;\n\n-- Drop prompt column\nALTER TABLE nexent.ag_tenant_agent_t\nDROP COLUMN IF EXISTS prompt;\n\n-- Add comments to the new columns\nCOMMENT ON COLUMN nexent.ag_tenant_agent_t.duty_prompt IS 'Duty prompt content';\nCOMMENT ON COLUMN nexent.ag_tenant_agent_t.constraint_prompt IS 'Constraint prompt content';\nCOMMENT ON COLUMN nexent.ag_tenant_agent_t.few_shots_prompt IS 'Few shots prompt content';"
  },
  {
    "path": "docker/sql/v1.6.0_0723_add_agent_relation_t.sql",
    "content": "-- Migration script to add ag_agent_relation_t table for recording agent parent-child relationships\n-- This table is used to store the hierarchical relationships between agents\n\n-- Create the ag_agent_relation_t table in the nexent schema\nCREATE TABLE IF NOT EXISTS nexent.ag_agent_relation_t (\n    relation_id SERIAL PRIMARY KEY NOT NULL,\n    selected_agent_id INTEGER,\n    parent_agent_id INTEGER,\n    tenant_id VARCHAR(100),\n    create_time TIMESTAMP WITHOUT TIME ZONE DEFAULT CURRENT_TIMESTAMP,\n    update_time TIMESTAMP WITHOUT TIME ZONE DEFAULT CURRENT_TIMESTAMP,\n    created_by VARCHAR(100),\n    updated_by VARCHAR(100),\n    delete_flag VARCHAR(1) DEFAULT 'N'\n);\n\n-- Create a function to update the update_time column\nCREATE OR REPLACE FUNCTION update_ag_agent_relation_update_time()\nRETURNS TRIGGER AS $$\nBEGIN\n    NEW.update_time = CURRENT_TIMESTAMP;\n    RETURN NEW;\nEND;\n$$ LANGUAGE plpgsql;\n\n-- Create a trigger to call the function before each update\nDROP TRIGGER IF EXISTS update_ag_agent_relation_update_time_trigger ON nexent.ag_agent_relation_t;\nCREATE TRIGGER update_ag_agent_relation_update_time_trigger\nBEFORE UPDATE ON nexent.ag_agent_relation_t\nFOR EACH ROW\nEXECUTE FUNCTION update_ag_agent_relation_update_time();\n\n-- Add comment to the table\nCOMMENT ON TABLE nexent.ag_agent_relation_t IS 'Agent parent-child relationship table';\n\n-- Add comments to the columns\nCOMMENT ON COLUMN nexent.ag_agent_relation_t.relation_id IS 'Relationship ID, primary key';\nCOMMENT ON COLUMN nexent.ag_agent_relation_t.selected_agent_id IS 'Selected agent ID';\nCOMMENT ON COLUMN nexent.ag_agent_relation_t.parent_agent_id IS 'Parent agent ID';\nCOMMENT ON COLUMN nexent.ag_agent_relation_t.tenant_id IS 'Tenant ID';\nCOMMENT ON COLUMN nexent.ag_agent_relation_t.create_time IS 'Creation time, audit field';\nCOMMENT ON COLUMN nexent.ag_agent_relation_t.update_time IS 'Update time, audit field';\nCOMMENT ON COLUMN nexent.ag_agent_relation_t.created_by IS 'Creator ID, audit field';\nCOMMENT ON COLUMN nexent.ag_agent_relation_t.updated_by IS 'Last updater ID, audit field';\nCOMMENT ON COLUMN nexent.ag_agent_relation_t.delete_flag IS 'Delete flag, set to Y for soft delete, optional values Y/N'; "
  },
  {
    "path": "docker/sql/v1.7.1_0805_add_deep_thinking_to_model_record_t.sql",
    "content": "ALTER TABLE nexent.model_record_t\nADD COLUMN IF NOT EXISTS is_deep_thinking BOOLEAN DEFAULT FALSE;\nCOMMENT ON COLUMN nexent.model_record_t.is_deep_thinking IS 'deep thinking switch, true=open, false=close';"
  },
  {
    "path": "docker/sql/v1.7.1_0806_add_memory_user_config.sql",
    "content": "-- 创建序列\nCREATE SEQUENCE IF NOT EXISTS \"nexent\".\"memory_user_config_t_config_id_seq\"\nINCREMENT 1\nMINVALUE  1\nMAXVALUE 2147483647\nSTART 1\nCACHE 1;\n\n\n-- 创建表\nCREATE TABLE IF NOT EXISTS \"nexent\".\"memory_user_config_t\" (\n  \"config_id\" SERIAL PRIMARY KEY NOT NULL,\n  \"tenant_id\" varchar(100) COLLATE \"pg_catalog\".\"default\",\n  \"user_id\" varchar(100) COLLATE \"pg_catalog\".\"default\",\n  \"value_type\" varchar(100) COLLATE \"pg_catalog\".\"default\",\n  \"config_key\" varchar(100) COLLATE \"pg_catalog\".\"default\",\n  \"config_value\" varchar(100) COLLATE \"pg_catalog\".\"default\",\n  \"create_time\" timestamp(6) DEFAULT CURRENT_TIMESTAMP,\n  \"update_time\" timestamp(6) DEFAULT CURRENT_TIMESTAMP,\n  \"created_by\" varchar(100) COLLATE \"pg_catalog\".\"default\",\n  \"updated_by\" varchar(100) COLLATE \"pg_catalog\".\"default\",\n  \"delete_flag\" varchar(1) COLLATE \"pg_catalog\".\"default\" DEFAULT 'N'::character varying\n);\n\n-- 设置表所有者\nALTER TABLE \"nexent\".\"memory_user_config_t\" OWNER TO \"root\";\n\nCOMMENT ON COLUMN \"nexent\".\"memory_user_config_t\".\"config_id\" IS 'ID';\nCOMMENT ON COLUMN \"nexent\".\"memory_user_config_t\".\"tenant_id\" IS 'Tenant ID';\nCOMMENT ON COLUMN \"nexent\".\"memory_user_config_t\".\"user_id\" IS 'User ID';\nCOMMENT ON COLUMN \"nexent\".\"memory_user_config_t\".\"value_type\" IS 'Value type. Optional values: single/multi';\nCOMMENT ON COLUMN \"nexent\".\"memory_user_config_t\".\"config_key\" IS 'Config key';\nCOMMENT ON COLUMN \"nexent\".\"memory_user_config_t\".\"config_value\" IS 'Config value';\nCOMMENT ON COLUMN \"nexent\".\"memory_user_config_t\".\"create_time\" IS 'Creation time';\nCOMMENT ON COLUMN \"nexent\".\"memory_user_config_t\".\"update_time\" IS 'Update time';\nCOMMENT ON COLUMN \"nexent\".\"memory_user_config_t\".\"created_by\" IS 'Creator';\nCOMMENT ON COLUMN \"nexent\".\"memory_user_config_t\".\"updated_by\" IS 'Updater';\nCOMMENT ON COLUMN \"nexent\".\"memory_user_config_t\".\"delete_flag\" IS 'Whether it is deleted. Optional values: Y/N';\n\nCOMMENT ON TABLE \"nexent\".\"memory_user_config_t\" IS 'User configuration of memory setting table';\n\nCREATE OR REPLACE FUNCTION \"update_memory_user_config_update_time\"()\nRETURNS TRIGGER AS $$\nBEGIN\n    NEW.update_time = CURRENT_TIMESTAMP;\n    RETURN NEW;\nEND;\n$$ LANGUAGE plpgsql;\n\nDROP TRIGGER IF EXISTS \"update_memory_user_config_update_time_trigger\" ON \"nexent\".\"memory_user_config_t\";\nCREATE TRIGGER \"update_memory_user_config_update_time_trigger\"\nBEFORE UPDATE ON \"nexent\".\"memory_user_config_t\"\nFOR EACH ROW\nEXECUTE FUNCTION \"update_memory_user_config_update_time\"();"
  },
  {
    "path": "docker/sql/v1.7.2.2_0820_add_partner_mapping_id_t.sql",
    "content": "CREATE SEQUENCE IF NOT EXISTS \"nexent\".\"partner_mapping_id_t_mapping_id_seq\" \nINCREMENT 1\nMINVALUE  1\nMAXVALUE 2147483647\nSTART 1\nCACHE 1;\n\nCREATE TABLE IF NOT EXISTS \"nexent\".\"partner_mapping_id_t\" (\n  \"mapping_id\" serial PRIMARY KEY NOT NULL,\n  \"external_id\" varchar(100) COLLATE \"pg_catalog\".\"default\",\n  \"internal_id\" int4,\n  \"mapping_type\" varchar(30) COLLATE \"pg_catalog\".\"default\",\n  \"tenant_id\" varchar(100) COLLATE \"pg_catalog\".\"default\",\n  \"user_id\" varchar(100) COLLATE \"pg_catalog\".\"default\",\n  \"create_time\" timestamp(6) DEFAULT CURRENT_TIMESTAMP,\n  \"update_time\" timestamp(6) DEFAULT CURRENT_TIMESTAMP,\n  \"created_by\" varchar(100) COLLATE \"pg_catalog\".\"default\",\n  \"updated_by\" varchar(100) COLLATE \"pg_catalog\".\"default\",\n  \"delete_flag\" varchar(1) COLLATE \"pg_catalog\".\"default\" DEFAULT 'N'::character varying\n);\n\nALTER TABLE \"nexent\".\"partner_mapping_id_t\" OWNER TO \"root\";\n\nCOMMENT ON COLUMN \"nexent\".\"partner_mapping_id_t\".\"mapping_id\" IS 'ID';\nCOMMENT ON COLUMN \"nexent\".\"partner_mapping_id_t\".\"external_id\" IS 'The external id given by the outer partner';\nCOMMENT ON COLUMN \"nexent\".\"partner_mapping_id_t\".\"internal_id\" IS 'The internal id of the other database table';\nCOMMENT ON COLUMN \"nexent\".\"partner_mapping_id_t\".\"mapping_type\" IS 'Type of the external - internal mapping, value set: CONVERSATION';\nCOMMENT ON COLUMN \"nexent\".\"partner_mapping_id_t\".\"tenant_id\" IS 'Tenant ID';\nCOMMENT ON COLUMN \"nexent\".\"partner_mapping_id_t\".\"user_id\" IS 'User ID';\nCOMMENT ON COLUMN \"nexent\".\"partner_mapping_id_t\".\"create_time\" IS 'Creation time';\nCOMMENT ON COLUMN \"nexent\".\"partner_mapping_id_t\".\"update_time\" IS 'Update time';\nCOMMENT ON COLUMN \"nexent\".\"partner_mapping_id_t\".\"created_by\" IS 'Creator';\nCOMMENT ON COLUMN \"nexent\".\"partner_mapping_id_t\".\"updated_by\" IS 'Updater';\nCOMMENT ON COLUMN \"nexent\".\"partner_mapping_id_t\".\"delete_flag\" IS 'Whether it is deleted. Optional values: Y/N';\n\nCREATE OR REPLACE FUNCTION \"update_partner_mapping_update_time\"()\nRETURNS TRIGGER AS $$\nBEGIN\n    NEW.update_time = CURRENT_TIMESTAMP;\n    RETURN NEW;\nEND;\n$$ LANGUAGE plpgsql;\n\nDROP TRIGGER IF EXISTS \"update_partner_mapping_update_time_trigger\" ON \"nexent\".\"partner_mapping_id_t\";\nCREATE TRIGGER \"update_partner_mapping_update_time_trigger\"\nBEFORE UPDATE ON \"nexent\".\"partner_mapping_id_t\"\nFOR EACH ROW\nEXECUTE FUNCTION \"update_partner_mapping_update_time\"();"
  },
  {
    "path": "docker/sql/v1.7.2_0809_add_name_zh_to_ag_tenant_agent_t.sql",
    "content": "ALTER TABLE nexent.ag_tenant_agent_t\nADD COLUMN IF NOT EXISTS display_name VARCHAR(100);\nCOMMENT ON COLUMN nexent.ag_tenant_agent_t.display_name IS 'Agent展示名称';"
  },
  {
    "path": "docker/sql/v1.7.2_0812_modify_model_record_t.sql",
    "content": "ALTER TABLE nexent.model_record_t\nDROP COLUMN IF EXISTS is_deep_thinking;"
  },
  {
    "path": "docker/sql/v1.7.3.2_0902_add_model_name_to_knowledge_record_t.sql",
    "content": "-- Add model_name column to knowledge_record_t table, used to record the embedding model used by the knowledge base\n\n-- Switch to nexent schema\nSET search_path TO nexent;\n\n-- Add model_name column\nALTER TABLE \"knowledge_record_t\" \nADD COLUMN IF NOT EXISTS \"embedding_model_name\" varchar(200) COLLATE \"pg_catalog\".\"default\";\n\n-- Add column comment\nCOMMENT ON COLUMN \"knowledge_record_t\".\"embedding_model_name\" IS 'Embedding model name, used to record the embedding model used by the knowledge base';"
  },
  {
    "path": "docker/sql/v1.7.4.1_1011_add_origin_tool_name_to_ag_tool_info.sql",
    "content": "-- Add origin_name column to ag_tool_info_t table\n-- This field stores the original tool name before any transformations\n\nALTER TABLE nexent.ag_tool_info_t \nADD COLUMN IF NOT EXISTS origin_name VARCHAR(100);\n\n-- Add comment to document the purpose of this field\nCOMMENT ON COLUMN nexent.ag_tool_info_t.origin_name IS 'Original tool name before any transformations or mappings';\n"
  },
  {
    "path": "docker/sql/v1.7.4.1_1013_add_tool_group_to_ag_tool_info.sql",
    "content": "-- Add category column to ag_tool_info_t table\n-- This field stores the tool category information (search, file, email, terminal)\n\nALTER TABLE nexent.ag_tool_info_t \nADD COLUMN IF NOT EXISTS category VARCHAR(100);\n\n-- Add comment to document the purpose of this field\nCOMMENT ON COLUMN nexent.ag_tool_info_t.category IS 'Tool category information';\n"
  },
  {
    "path": "docker/sql/v1.7.4_0928_add_model_id_to_ag_tenant_agent_t.sql",
    "content": "-- Add model_id column to ag_tenant_agent_t table and deprecate model_name field\n-- Date: 2024-09-28\n-- Description: Add model_id field to ag_tenant_agent_t table and mark model_name as deprecated\n\n-- Switch to the nexent schema\nSET search_path TO nexent;\n\n-- Add model_id column to ag_tenant_agent_t table\nALTER TABLE ag_tenant_agent_t \nADD COLUMN IF NOT EXISTS model_id INTEGER;\n\n-- Add comment for the new model_id column\nCOMMENT ON COLUMN ag_tenant_agent_t.model_id IS 'Model ID, foreign key reference to model_record_t.model_id';\n\n-- Update comment for model_name column to mark it as deprecated\nCOMMENT ON COLUMN ag_tenant_agent_t.model_name IS '[DEPRECATED] Name of the model used, use model_id instead';\n\n-- Optional: Add foreign key constraint (uncomment if needed)\n-- ALTER TABLE ag_tenant_agent_t \n-- ADD CONSTRAINT fk_ag_tenant_agent_model_id \n-- FOREIGN KEY (model_id) REFERENCES model_record_t(model_id);\n"
  },
  {
    "path": "docker/sql/v1.7.5.1_1028_add_chunk_size_to_model_record_t.sql",
    "content": "ALTER TABLE nexent.model_record_t\nADD COLUMN IF NOT EXISTS expected_chunk_size INT4,\nADD COLUMN IF NOT EXISTS maximum_chunk_size INT4;\n\nCOMMENT ON COLUMN nexent.model_record_t.expected_chunk_size IS 'Expected chunk size for embedding models, used during document chunking';\nCOMMENT ON COLUMN nexent.model_record_t.maximum_chunk_size IS 'Maximum chunk size for embedding models, used during document chunking';\n\n"
  },
  {
    "path": "docker/sql/v1.7.5_1024_add_business_logic_model_fields.sql",
    "content": "-- Add business_logic_model_name and business_logic_model_id fields to ag_tenant_agent_t table\n-- These fields store the LLM model used for generating business logic prompts\n\nALTER TABLE nexent.ag_tenant_agent_t \nADD COLUMN IF NOT EXISTS business_logic_model_name VARCHAR(100);\n\nALTER TABLE nexent.ag_tenant_agent_t \nADD COLUMN IF NOT EXISTS business_logic_model_id INTEGER;\n\nCOMMENT ON COLUMN nexent.ag_tenant_agent_t.business_logic_model_name IS 'Model name used for business logic prompt generation';\nCOMMENT ON COLUMN nexent.ag_tenant_agent_t.business_logic_model_id IS 'Model ID used for business logic prompt generation, foreign key reference to model_record_t.model_id';\n\n"
  },
  {
    "path": "docker/sql/v1.7.5_1024_alter_tenant_config_t_config_value.sql",
    "content": "ALTER TABLE nexent.tenant_config_t ALTER COLUMN config_value TYPE TEXT;"
  },
  {
    "path": "docker/sql/v1.7.7_1129_add_ssl_verify_to_model_record_t.sql",
    "content": "ALTER TABLE nexent.model_record_t\nADD COLUMN IF NOT EXISTS ssl_verify BOOLEAN DEFAULT TRUE;\n\nCOMMENT ON COLUMN nexent.model_record_t.ssl_verify IS 'Whether to verify SSL certificates when connecting to this model API. Default is true. Set to false for local services without SSL support.';\n\n"
  },
  {
    "path": "docker/sql/v1.7.8_1204_add_knowledge_name_to_knowledge_record_t.sql",
    "content": "-- Add knowledge_name column if it does not exist\nALTER TABLE nexent.knowledge_record_t\nADD COLUMN IF NOT EXISTS knowledge_name varchar(100) COLLATE \"pg_catalog\".\"default\";\n\nCOMMENT ON COLUMN nexent.knowledge_record_t.knowledge_name IS 'User-facing knowledge base name (display name), mapped to internal index_name';\nCOMMENT ON COLUMN nexent.knowledge_record_t.index_name IS 'Internal Elasticsearch index name';\n\n-- Backfill existing records: for legacy data, use index_name as knowledge_name\nUPDATE nexent.knowledge_record_t\nSET knowledge_name = index_name\nWHERE knowledge_name IS NULL;\n\n\n-- Add chunk_batch column in model_record_t table\nALTER TABLE nexent.model_record_t\nADD COLUMN IF NOT EXISTS chunk_batch INT4;\n\nCOMMENT ON COLUMN nexent.model_record_t.chunk_batch IS 'Batch size for concurrent embedding requests during document chunking';"
  },
  {
    "path": "docker/sql/v1.7.8_add_author_to_ag_tenant_agent_t.sql",
    "content": "-- Add author column to ag_tenant_agent_t table\n-- This migration adds the author field to support agent author information\n\n-- Add author column with default NULL value for backward compatibility\nALTER TABLE nexent.ag_tenant_agent_t \nADD COLUMN IF NOT EXISTS author VARCHAR(100);\n\n-- Add comment to the column\nCOMMENT ON COLUMN nexent.ag_tenant_agent_t.author IS 'Agent author';\n\n"
  },
  {
    "path": "docker/sql/v1.7.9.2_1226_add_invitation_and_group_system.sql",
    "content": "-- Add invitation code and group management system\n-- This migration adds invitation codes, groups, and permission management features\n\n-- 1. Create tenant_invitation_code_t table for invitation codes\nCREATE TABLE IF NOT EXISTS nexent.tenant_invitation_code_t (\n    invitation_id SERIAL PRIMARY KEY,\n    tenant_id VARCHAR(100) NOT NULL,\n    invitation_code VARCHAR(100) NOT NULL,\n    group_ids VARCHAR, -- int4 list\n    capacity INT4 NOT NULL DEFAULT 1,\n    expiry_date TIMESTAMP(6) WITHOUT TIME ZONE,\n    status VARCHAR(30) NOT NULL,\n    code_type VARCHAR(30) NOT NULL,\n    create_time TIMESTAMP(6) WITHOUT TIME ZONE DEFAULT NOW(),\n    update_time TIMESTAMP(6) WITHOUT TIME ZONE DEFAULT NOW(),\n    created_by VARCHAR(100),\n    updated_by VARCHAR(100),\n    delete_flag VARCHAR(1) DEFAULT 'N'\n);\n\n-- Add comments for tenant_invitation_code_t table\nCOMMENT ON TABLE nexent.tenant_invitation_code_t IS 'Tenant invitation code information table';\nCOMMENT ON COLUMN nexent.tenant_invitation_code_t.invitation_id IS 'Invitation ID, primary key';\nCOMMENT ON COLUMN nexent.tenant_invitation_code_t.tenant_id IS 'Tenant ID, foreign key';\nCOMMENT ON COLUMN nexent.tenant_invitation_code_t.invitation_code IS 'Invitation code';\nCOMMENT ON COLUMN nexent.tenant_invitation_code_t.group_ids IS 'Associated group IDs list';\nCOMMENT ON COLUMN nexent.tenant_invitation_code_t.capacity IS 'Invitation code capacity';\nCOMMENT ON COLUMN nexent.tenant_invitation_code_t.expiry_date IS 'Invitation code expiry date';\nCOMMENT ON COLUMN nexent.tenant_invitation_code_t.status IS 'Invitation code status: IN_USE, EXPIRE, DISABLE, RUN_OUT';\nCOMMENT ON COLUMN nexent.tenant_invitation_code_t.code_type IS 'Invitation code type: ADMIN_INVITE, DEV_INVITE, USER_INVITE';\nCOMMENT ON COLUMN nexent.tenant_invitation_code_t.create_time IS 'Create time';\nCOMMENT ON COLUMN nexent.tenant_invitation_code_t.update_time IS 'Update time';\nCOMMENT ON COLUMN nexent.tenant_invitation_code_t.created_by IS 'Created by';\nCOMMENT ON COLUMN nexent.tenant_invitation_code_t.updated_by IS 'Updated by';\nCOMMENT ON COLUMN nexent.tenant_invitation_code_t.delete_flag IS 'Delete flag, Y/N';\n\n-- 2. Create tenant_invitation_record_t table for invitation usage records\nCREATE TABLE IF NOT EXISTS nexent.tenant_invitation_record_t (\n    invitation_record_id SERIAL PRIMARY KEY,\n    invitation_id INT4 NOT NULL,\n    user_id VARCHAR(100) NOT NULL,\n    create_time TIMESTAMP(6) WITHOUT TIME ZONE DEFAULT NOW(),\n    update_time TIMESTAMP(6) WITHOUT TIME ZONE DEFAULT NOW(),\n    created_by VARCHAR(100),\n    updated_by VARCHAR(100),\n    delete_flag VARCHAR(1) DEFAULT 'N'\n);\n\n-- Add comments for tenant_invitation_record_t table\nCOMMENT ON TABLE nexent.tenant_invitation_record_t IS 'Tenant invitation record table';\nCOMMENT ON COLUMN nexent.tenant_invitation_record_t.invitation_record_id IS 'Invitation record ID, primary key';\nCOMMENT ON COLUMN nexent.tenant_invitation_record_t.invitation_id IS 'Invitation ID, foreign key';\nCOMMENT ON COLUMN nexent.tenant_invitation_record_t.user_id IS 'User ID';\nCOMMENT ON COLUMN nexent.tenant_invitation_record_t.create_time IS 'Create time';\nCOMMENT ON COLUMN nexent.tenant_invitation_record_t.update_time IS 'Update time';\nCOMMENT ON COLUMN nexent.tenant_invitation_record_t.created_by IS 'Created by';\nCOMMENT ON COLUMN nexent.tenant_invitation_record_t.updated_by IS 'Updated by';\nCOMMENT ON COLUMN nexent.tenant_invitation_record_t.delete_flag IS 'Delete flag, Y/N';\n\n-- 3. Create tenant_group_info_t table for group information\nCREATE TABLE IF NOT EXISTS nexent.tenant_group_info_t (\n    group_id SERIAL PRIMARY KEY,\n    tenant_id VARCHAR(100) NOT NULL,\n    group_name VARCHAR(100) NOT NULL,\n    group_description VARCHAR(500),\n    create_time TIMESTAMP(6) WITHOUT TIME ZONE DEFAULT NOW(),\n    update_time TIMESTAMP(6) WITHOUT TIME ZONE DEFAULT NOW(),\n    created_by VARCHAR(100),\n    updated_by VARCHAR(100),\n    delete_flag VARCHAR(1) DEFAULT 'N'\n);\n\n-- Add comments for tenant_group_info_t table\nCOMMENT ON TABLE nexent.tenant_group_info_t IS 'Tenant group information table';\nCOMMENT ON COLUMN nexent.tenant_group_info_t.group_id IS 'Group ID, primary key';\nCOMMENT ON COLUMN nexent.tenant_group_info_t.tenant_id IS 'Tenant ID, foreign key';\nCOMMENT ON COLUMN nexent.tenant_group_info_t.group_name IS 'Group name';\nCOMMENT ON COLUMN nexent.tenant_group_info_t.group_description IS 'Group description';\nCOMMENT ON COLUMN nexent.tenant_group_info_t.create_time IS 'Create time';\nCOMMENT ON COLUMN nexent.tenant_group_info_t.update_time IS 'Update time';\nCOMMENT ON COLUMN nexent.tenant_group_info_t.created_by IS 'Created by';\nCOMMENT ON COLUMN nexent.tenant_group_info_t.updated_by IS 'Updated by';\nCOMMENT ON COLUMN nexent.tenant_group_info_t.delete_flag IS 'Delete flag, Y/N';\n\n-- 4. Create tenant_group_user_t table for group user membership\nCREATE TABLE IF NOT EXISTS nexent.tenant_group_user_t (\n    group_user_id SERIAL PRIMARY KEY,\n    group_id INT4 NOT NULL,\n    user_id VARCHAR(100) NOT NULL,\n    create_time TIMESTAMP(6) WITHOUT TIME ZONE DEFAULT NOW(),\n    update_time TIMESTAMP(6) WITHOUT TIME ZONE DEFAULT NOW(),\n    created_by VARCHAR(100),\n    updated_by VARCHAR(100),\n    delete_flag VARCHAR(1) DEFAULT 'N'\n);\n\n-- Add comments for tenant_group_user_t table\nCOMMENT ON TABLE nexent.tenant_group_user_t IS 'Tenant group user membership table';\nCOMMENT ON COLUMN nexent.tenant_group_user_t.group_user_id IS 'Group user ID, primary key';\nCOMMENT ON COLUMN nexent.tenant_group_user_t.group_id IS 'Group ID, foreign key';\nCOMMENT ON COLUMN nexent.tenant_group_user_t.user_id IS 'User ID, foreign key';\nCOMMENT ON COLUMN nexent.tenant_group_user_t.create_time IS 'Create time';\nCOMMENT ON COLUMN nexent.tenant_group_user_t.update_time IS 'Update time';\nCOMMENT ON COLUMN nexent.tenant_group_user_t.created_by IS 'Created by';\nCOMMENT ON COLUMN nexent.tenant_group_user_t.updated_by IS 'Updated by';\nCOMMENT ON COLUMN nexent.tenant_group_user_t.delete_flag IS 'Delete flag, Y/N';\n\n-- 5. Add fields to user_tenant_t table\nALTER TABLE nexent.user_tenant_t\nADD COLUMN IF NOT EXISTS user_role VARCHAR(30);\n\n-- Add comments for new fields in user_tenant_t table\nCOMMENT ON COLUMN nexent.user_tenant_t.user_role IS 'User role: SU, ADMIN, DEV, USER';\n\n-- 6. Create role_permission_t table for role permissions\nCREATE TABLE IF NOT EXISTS nexent.role_permission_t (\n    role_permission_id SERIAL PRIMARY KEY,\n    user_role VARCHAR(30) NOT NULL,\n    permission_category VARCHAR(30),\n    permission_type VARCHAR(30),\n    permission_subtype VARCHAR(30)\n);\n\n-- Add comments for role_permission_t table\nCOMMENT ON TABLE nexent.role_permission_t IS 'Role permission configuration table';\nCOMMENT ON COLUMN nexent.role_permission_t.role_permission_id IS 'Role permission ID, primary key';\nCOMMENT ON COLUMN nexent.role_permission_t.user_role IS 'User role: SU, ADMIN, DEV, USER';\nCOMMENT ON COLUMN nexent.role_permission_t.permission_category IS 'Permission category';\nCOMMENT ON COLUMN nexent.role_permission_t.permission_type IS 'Permission type';\nCOMMENT ON COLUMN nexent.role_permission_t.permission_subtype IS 'Permission subtype';\n\n-- 7. Add fields to knowledge_record_t table\nALTER TABLE nexent.knowledge_record_t\nADD COLUMN IF NOT EXISTS group_ids VARCHAR, -- int4 list\nADD COLUMN IF NOT EXISTS ingroup_permission VARCHAR(30);\n\n-- Add comments for new fields in knowledge_record_t table\nCOMMENT ON COLUMN nexent.knowledge_record_t.group_ids IS 'Knowledge base group IDs list';\nCOMMENT ON COLUMN nexent.knowledge_record_t.ingroup_permission IS 'In-group permission: EDIT, READ_ONLY, PRIVATE';\n\n-- 8. Add fields to ag_tenant_agent_t table\nALTER TABLE nexent.ag_tenant_agent_t\nADD COLUMN IF NOT EXISTS group_ids VARCHAR; -- int4 list\n\n-- Add comments for new fields in ag_tenant_agent_t table\nCOMMENT ON COLUMN nexent.ag_tenant_agent_t.group_ids IS 'Agent group IDs list';\n\n-- 9. Insert role permission data\nINSERT INTO nexent.role_permission_t (role_permission_id, user_role, permission_category, permission_type, permission_subtype) VALUES\n(1, 'SU', 'VISIBILITY', 'LEFT_NAV_MENU', '/'),\n(2, 'SU', 'VISIBILITY', 'LEFT_NAV_MENU', '/space'),\n(3, 'SU', 'VISIBILITY', 'LEFT_NAV_MENU', '/knowledges'),\n(4, 'SU', 'VISIBILITY', 'LEFT_NAV_MENU', '/mcp-tools'),\n(5, 'SU', 'VISIBILITY', 'LEFT_NAV_MENU', '/monitoring'),\n(6, 'SU', 'VISIBILITY', 'LEFT_NAV_MENU', '/models'),\n(7, 'SU', 'VISIBILITY', 'LEFT_NAV_MENU', '/memory'),\n(8, 'SU', 'VISIBILITY', 'LEFT_NAV_MENU', '/users'),\n(9, 'SU', 'RESOURCE', 'AGENT', 'READ'),\n(10, 'SU', 'RESOURCE', 'AGENT', 'DELETE'),\n(11, 'SU', 'RESOURCE', 'KB', 'READ'),\n(12, 'SU', 'RESOURCE', 'KB', 'DELETE'),\n(13, 'SU', 'RESOURCE', 'KB.GROUPS', 'READ'),\n(14, 'SU', 'RESOURCE', 'KB.GROUPS', 'UPDATE'),\n(15, 'SU', 'RESOURCE', 'KB.GROUPS', 'DELETE'),\n(16, 'SU', 'RESOURCE', 'USER.ROLE', 'READ'),\n(17, 'SU', 'RESOURCE', 'USER.ROLE', 'UPDATE'),\n(18, 'SU', 'RESOURCE', 'USER.ROLE', 'DELETE'),\n(19, 'SU', 'RESOURCE', 'MCP', 'READ'),\n(20, 'SU', 'RESOURCE', 'MCP', 'DELETE'),\n(21, 'SU', 'RESOURCE', 'MEM.SETTING', 'READ'),\n(22, 'SU', 'RESOURCE', 'MEM.SETTING', 'UPDATE'),\n(23, 'SU', 'RESOURCE', 'MEM.AGENT', 'READ'),\n(24, 'SU', 'RESOURCE', 'MEM.AGENT', 'DELETE'),\n(25, 'SU', 'RESOURCE', 'MEM.PRIVATE', 'READ'),\n(26, 'SU', 'RESOURCE', 'MEM.PRIVATE', 'DELETE'),\n(27, 'SU', 'RESOURCE', 'MODEL', 'CREATE'),\n(28, 'SU', 'RESOURCE', 'MODEL', 'READ'),\n(29, 'SU', 'RESOURCE', 'MODEL', 'UPDATE'),\n(30, 'SU', 'RESOURCE', 'MODEL', 'DELETE'),\n(31, 'SU', 'RESOURCE', 'TENANT', 'CREATE'),\n(32, 'SU', 'RESOURCE', 'TENANT', 'READ'),\n(33, 'SU', 'RESOURCE', 'TENANT', 'UPDATE'),\n(34, 'SU', 'RESOURCE', 'TENANT', 'DELETE'),\n(35, 'SU', 'RESOURCE', 'TENANT.INFO', 'READ'),\n(36, 'SU', 'RESOURCE', 'TENANT.INFO', 'UPDATE'),\n(37, 'SU', 'RESOURCE', 'TENANT.INVITE', 'CREATE'),\n(38, 'SU', 'RESOURCE', 'TENANT.INVITE', 'READ'),\n(39, 'SU', 'RESOURCE', 'TENANT.INVITE', 'UPDATE'),\n(40, 'SU', 'RESOURCE', 'TENANT.INVITE', 'DELETE'),\n(41, 'SU', 'RESOURCE', 'GROUP', 'CREATE'),\n(42, 'SU', 'RESOURCE', 'GROUP', 'READ'),\n(43, 'SU', 'RESOURCE', 'GROUP', 'UPDATE'),\n(44, 'SU', 'RESOURCE', 'GROUP', 'DELETE'),\n(45, 'ADMIN', 'VISIBILITY', 'LEFT_NAV_MENU', '/'),\n(46, 'ADMIN', 'VISIBILITY', 'LEFT_NAV_MENU', '/chat'),\n(47, 'ADMIN', 'VISIBILITY', 'LEFT_NAV_MENU', '/setup'),\n(48, 'ADMIN', 'VISIBILITY', 'LEFT_NAV_MENU', '/space'),\n(49, 'ADMIN', 'VISIBILITY', 'LEFT_NAV_MENU', '/market'),\n(50, 'ADMIN', 'VISIBILITY', 'LEFT_NAV_MENU', '/agents'),\n(51, 'ADMIN', 'VISIBILITY', 'LEFT_NAV_MENU', '/knowledges'),\n(52, 'ADMIN', 'VISIBILITY', 'LEFT_NAV_MENU', '/mcp-tools'),\n(53, 'ADMIN', 'VISIBILITY', 'LEFT_NAV_MENU', '/monitoring'),\n(54, 'ADMIN', 'VISIBILITY', 'LEFT_NAV_MENU', '/models'),\n(55, 'ADMIN', 'VISIBILITY', 'LEFT_NAV_MENU', '/memory'),\n(56, 'ADMIN', 'VISIBILITY', 'LEFT_NAV_MENU', '/users'),\n(57, 'ADMIN', 'RESOURCE', 'AGENT', 'CREATE'),\n(58, 'ADMIN', 'RESOURCE', 'AGENT', 'READ'),\n(59, 'ADMIN', 'RESOURCE', 'AGENT', 'UPDATE'),\n(60, 'ADMIN', 'RESOURCE', 'AGENT', 'DELETE'),\n(61, 'ADMIN', 'RESOURCE', 'KB', 'CREATE'),\n(62, 'ADMIN', 'RESOURCE', 'KB', 'READ'),\n(63, 'ADMIN', 'RESOURCE', 'KB', 'UPDATE'),\n(64, 'ADMIN', 'RESOURCE', 'KB', 'DELETE'),\n(65, 'ADMIN', 'RESOURCE', 'KB.GROUPS', 'READ'),\n(66, 'ADMIN', 'RESOURCE', 'KB.GROUPS', 'UPDATE'),\n(67, 'ADMIN', 'RESOURCE', 'KB.GROUPS', 'DELETE'),\n(68, 'ADMIN', 'RESOURCE', 'USER.ROLE', 'READ'),\n(69, 'ADMIN', 'RESOURCE', 'MCP', 'CREATE'),\n(70, 'ADMIN', 'RESOURCE', 'MCP', 'READ'),\n(71, 'ADMIN', 'RESOURCE', 'MCP', 'UPDATE'),\n(72, 'ADMIN', 'RESOURCE', 'MCP', 'DELETE'),\n(73, 'ADMIN', 'RESOURCE', 'MEM.SETTING', 'READ'),\n(74, 'ADMIN', 'RESOURCE', 'MEM.SETTING', 'UPDATE'),\n(75, 'ADMIN', 'RESOURCE', 'MEM.AGENT', 'CREATE'),\n(76, 'ADMIN', 'RESOURCE', 'MEM.AGENT', 'READ'),\n(77, 'ADMIN', 'RESOURCE', 'MEM.AGENT', 'DELETE'),\n(78, 'ADMIN', 'RESOURCE', 'MEM.PRIVATE', 'CREATE'),\n(79, 'ADMIN', 'RESOURCE', 'MEM.PRIVATE', 'READ'),\n(80, 'ADMIN', 'RESOURCE', 'MEM.PRIVATE', 'DELETE'),\n(81, 'ADMIN', 'RESOURCE', 'MODEL', 'CREATE'),\n(82, 'ADMIN', 'RESOURCE', 'MODEL', 'READ'),\n(83, 'ADMIN', 'RESOURCE', 'MODEL', 'UPDATE'),\n(84, 'ADMIN', 'RESOURCE', 'MODEL', 'DELETE'),\n(85, 'ADMIN', 'RESOURCE', 'TENANT.INFO', 'READ'),\n(86, 'ADMIN', 'RESOURCE', 'TENANT.INFO', 'UPDATE'),\n(87, 'ADMIN', 'RESOURCE', 'TENANT.INVITE', 'CREATE'),\n(88, 'ADMIN', 'RESOURCE', 'TENANT.INVITE', 'READ'),\n(89, 'ADMIN', 'RESOURCE', 'TENANT.INVITE', 'UPDATE'),\n(90, 'ADMIN', 'RESOURCE', 'TENANT.INVITE', 'DELETE'),\n(91, 'ADMIN', 'RESOURCE', 'GROUP', 'CREATE'),\n(92, 'ADMIN', 'RESOURCE', 'GROUP', 'READ'),\n(93, 'ADMIN', 'RESOURCE', 'GROUP', 'UPDATE'),\n(94, 'ADMIN', 'RESOURCE', 'GROUP', 'DELETE'),\n(95, 'DEV', 'VISIBILITY', 'LEFT_NAV_MENU', '/'),\n(96, 'DEV', 'VISIBILITY', 'LEFT_NAV_MENU', '/chat'),\n(97, 'DEV', 'VISIBILITY', 'LEFT_NAV_MENU', '/setup'),\n(98, 'DEV', 'VISIBILITY', 'LEFT_NAV_MENU', '/space'),\n(99, 'DEV', 'VISIBILITY', 'LEFT_NAV_MENU', '/market'),\n(100, 'DEV', 'VISIBILITY', 'LEFT_NAV_MENU', '/agents'),\n(101, 'DEV', 'VISIBILITY', 'LEFT_NAV_MENU', '/knowledges'),\n(102, 'DEV', 'VISIBILITY', 'LEFT_NAV_MENU', '/mcp-tools'),\n(103, 'DEV', 'VISIBILITY', 'LEFT_NAV_MENU', '/monitoring'),\n(104, 'DEV', 'VISIBILITY', 'LEFT_NAV_MENU', '/models'),\n(105, 'DEV', 'VISIBILITY', 'LEFT_NAV_MENU', '/memory'),\n(106, 'DEV', 'VISIBILITY', 'LEFT_NAV_MENU', '/users'),\n(107, 'DEV', 'RESOURCE', 'AGENT', 'CREATE'),\n(108, 'DEV', 'RESOURCE', 'AGENT', 'READ'),\n(109, 'DEV', 'RESOURCE', 'AGENT', 'UPDATE'),\n(110, 'DEV', 'RESOURCE', 'AGENT', 'DELETE'),\n(111, 'DEV', 'RESOURCE', 'KB', 'CREATE'),\n(112, 'DEV', 'RESOURCE', 'KB', 'READ'),\n(113, 'DEV', 'RESOURCE', 'KB', 'UPDATE'),\n(114, 'DEV', 'RESOURCE', 'KB', 'DELETE'),\n(115, 'DEV', 'RESOURCE', 'KB.GROUPS', 'READ'),\n(116, 'DEV', 'RESOURCE', 'KB.GROUPS', 'UPDATE'),\n(117, 'DEV', 'RESOURCE', 'KB.GROUPS', 'DELETE'),\n(118, 'DEV', 'RESOURCE', 'USER.ROLE', 'READ'),\n(119, 'DEV', 'RESOURCE', 'MCP', 'CREATE'),\n(120, 'DEV', 'RESOURCE', 'MCP', 'READ'),\n(121, 'DEV', 'RESOURCE', 'MCP', 'UPDATE'),\n(122, 'DEV', 'RESOURCE', 'MCP', 'DELETE'),\n(123, 'DEV', 'RESOURCE', 'MEM.SETTING', 'READ'),\n(124, 'DEV', 'RESOURCE', 'MEM.SETTING', 'UPDATE'),\n(125, 'DEV', 'RESOURCE', 'MEM.AGENT', 'READ'),\n(126, 'DEV', 'RESOURCE', 'MEM.PRIVATE', 'CREATE'),\n(127, 'DEV', 'RESOURCE', 'MEM.PRIVATE', 'READ'),\n(128, 'DEV', 'RESOURCE', 'MEM.PRIVATE', 'DELETE'),\n(129, 'DEV', 'RESOURCE', 'MODEL', 'READ'),\n(130, 'DEV', 'RESOURCE', 'TENANT.INFO', 'READ'),\n(131, 'DEV', 'RESOURCE', 'GROUP', 'READ'),\n(132, 'USER', 'VISIBILITY', 'LEFT_NAV_MENU', '/'),\n(133, 'USER', 'VISIBILITY', 'LEFT_NAV_MENU', '/chat'),\n(134, 'USER', 'VISIBILITY', 'LEFT_NAV_MENU', '/space'),\n(135, 'USER', 'VISIBILITY', 'LEFT_NAV_MENU', '/knowledges'),\n(136, 'USER', 'VISIBILITY', 'LEFT_NAV_MENU', '/models'),\n(137, 'USER', 'VISIBILITY', 'LEFT_NAV_MENU', '/memory'),\n(138, 'USER', 'VISIBILITY', 'LEFT_NAV_MENU', '/users'),\n(139, 'USER', 'RESOURCE', 'AGENT', 'READ'),\n(140, 'USER', 'RESOURCE', 'KB', 'CREATE'),\n(141, 'USER', 'RESOURCE', 'KB', 'READ'),\n(142, 'USER', 'RESOURCE', 'KB', 'UPDATE'),\n(143, 'USER', 'RESOURCE', 'KB', 'DELETE'),\n(144, 'USER', 'RESOURCE', 'KB.GROUPS', 'READ'),\n(145, 'USER', 'RESOURCE', 'KB.GROUPS', 'UPDATE'),\n(146, 'USER', 'RESOURCE', 'KB.GROUPS', 'DELETE'),\n(147, 'USER', 'RESOURCE', 'USER.ROLE', 'READ'),\n(148, 'USER', 'RESOURCE', 'MCP', 'CREATE'),\n(149, 'USER', 'RESOURCE', 'MCP', 'READ'),\n(150, 'USER', 'RESOURCE', 'MCP', 'UPDATE'),\n(151, 'USER', 'RESOURCE', 'MCP', 'DELETE'),\n(152, 'USER', 'RESOURCE', 'MEM.SETTING', 'READ'),\n(153, 'USER', 'RESOURCE', 'MEM.SETTING', 'UPDATE'),\n(154, 'USER', 'RESOURCE', 'MEM.AGENT', 'READ'),\n(155, 'USER', 'RESOURCE', 'MEM.PRIVATE', 'CREATE'),\n(156, 'USER', 'RESOURCE', 'MEM.PRIVATE', 'READ'),\n(157, 'USER', 'RESOURCE', 'MEM.PRIVATE', 'DELETE'),\n(158, 'USER', 'RESOURCE', 'MODEL', 'READ'),\n(159, 'USER', 'RESOURCE', 'TENANT.INFO', 'READ'),\n(160, 'USER', 'RESOURCE', 'GROUP', 'READ'),\n(161, 'SPEED', 'VISIBILITY', 'LEFT_NAV_MENU', '/'),\n(162, 'SPEED', 'VISIBILITY', 'LEFT_NAV_MENU', '/chat'),\n(163, 'SPEED', 'VISIBILITY', 'LEFT_NAV_MENU', '/setup'),\n(164, 'SPEED', 'VISIBILITY', 'LEFT_NAV_MENU', '/space'),\n(165, 'SPEED', 'VISIBILITY', 'LEFT_NAV_MENU', '/market'),\n(166, 'SPEED', 'VISIBILITY', 'LEFT_NAV_MENU', '/agents'),\n(167, 'SPEED', 'VISIBILITY', 'LEFT_NAV_MENU', '/knowledges'),\n(168, 'SPEED', 'VISIBILITY', 'LEFT_NAV_MENU', '/mcp-tools'),\n(169, 'SPEED', 'VISIBILITY', 'LEFT_NAV_MENU', '/monitoring'),\n(170, 'SPEED', 'VISIBILITY', 'LEFT_NAV_MENU', '/models'),\n(171, 'SPEED', 'VISIBILITY', 'LEFT_NAV_MENU', '/memory'),\n(172, 'SPEED', 'VISIBILITY', 'LEFT_NAV_MENU', '/users'),\n(173, 'SPEED', 'RESOURCE', 'AGENT', 'CREATE'),\n(174, 'SPEED', 'RESOURCE', 'AGENT', 'READ'),\n(175, 'SPEED', 'RESOURCE', 'AGENT', 'UPDATE'),\n(176, 'SPEED', 'RESOURCE', 'AGENT', 'DELETE'),\n(177, 'SPEED', 'RESOURCE', 'KB', 'CREATE'),\n(178, 'SPEED', 'RESOURCE', 'KB', 'READ'),\n(179, 'SPEED', 'RESOURCE', 'KB', 'UPDATE'),\n(180, 'SPEED', 'RESOURCE', 'KB', 'DELETE'),\n(181, 'SPEED', 'RESOURCE', 'KB.GROUPS', 'READ'),\n(182, 'SPEED', 'RESOURCE', 'KB.GROUPS', 'UPDATE'),\n(183, 'SPEED', 'RESOURCE', 'KB.GROUPS', 'DELETE'),\n(184, 'SPEED', 'RESOURCE', 'USER.ROLE', 'READ'),\n(185, 'SPEED', 'RESOURCE', 'MCP', 'CREATE'),\n(186, 'SPEED', 'RESOURCE', 'MCP', 'READ'),\n(187, 'SPEED', 'RESOURCE', 'MCP', 'UPDATE'),\n(188, 'SPEED', 'RESOURCE', 'MCP', 'DELETE'),\n(189, 'SPEED', 'RESOURCE', 'MEM.SETTING', 'READ'),\n(190, 'SPEED', 'RESOURCE', 'MEM.SETTING', 'UPDATE'),\n(191, 'SPEED', 'RESOURCE', 'MEM.AGENT', 'CREATE'),\n(192, 'SPEED', 'RESOURCE', 'MEM.AGENT', 'READ'),\n(193, 'SPEED', 'RESOURCE', 'MEM.AGENT', 'DELETE'),\n(194, 'SPEED', 'RESOURCE', 'MEM.PRIVATE', 'CREATE'),\n(195, 'SPEED', 'RESOURCE', 'MEM.PRIVATE', 'READ'),\n(196, 'SPEED', 'RESOURCE', 'MEM.PRIVATE', 'DELETE'),\n(197, 'SPEED', 'RESOURCE', 'MODEL', 'CREATE'),\n(198, 'SPEED', 'RESOURCE', 'MODEL', 'READ'),\n(199, 'SPEED', 'RESOURCE', 'MODEL', 'UPDATE'),\n(200, 'SPEED', 'RESOURCE', 'MODEL', 'DELETE'),\n(201, 'SPEED', 'RESOURCE', 'TENANT.INFO', 'READ'),\n(202, 'SPEED', 'RESOURCE', 'TENANT.INFO', 'UPDATE'),\n(203, 'SPEED', 'RESOURCE', 'TENANT.INVITE', 'CREATE'),\n(204, 'SPEED', 'RESOURCE', 'TENANT.INVITE', 'READ'),\n(205, 'SPEED', 'RESOURCE', 'TENANT.INVITE', 'UPDATE'),\n(206, 'SPEED', 'RESOURCE', 'TENANT.INVITE', 'DELETE'),\n(207, 'SPEED', 'RESOURCE', 'GROUP', 'CREATE'),\n(208, 'SPEED', 'RESOURCE', 'GROUP', 'READ'),\n(209, 'SPEED', 'RESOURCE', 'GROUP', 'UPDATE'),\n(210, 'SPEED', 'RESOURCE', 'GROUP', 'DELETE')\nON CONFLICT (role_permission_id) DO NOTHING;\n"
  },
  {
    "path": "docker/sql/v1.7.9.3_0122_add_is_new_to_ag_tenant_agent_t.sql",
    "content": "-- Add is_new column to ag_tenant_agent_t table for new agent marking\n-- This migration adds a field to track whether an agent is marked as new for users\n\n-- Add is_new column with default value false\nALTER TABLE nexent.ag_tenant_agent_t\nADD COLUMN IF NOT EXISTS is_new BOOLEAN DEFAULT FALSE;\n\n-- Add comment for the new column\nCOMMENT ON COLUMN nexent.ag_tenant_agent_t.is_new IS 'Whether this agent is marked as new for the user';\n\n-- Create index for performance on is_new queries\nCREATE INDEX IF NOT EXISTS idx_ag_tenant_agent_t_is_new\nON nexent.ag_tenant_agent_t (tenant_id, is_new)\nWHERE delete_flag = 'N';\n\n\n"
  },
  {
    "path": "docker/sql/v1.7.9.3_0123_add_speed_user_tenant_t.sql",
    "content": "-- Add user_email column to user_tenant_t table\nALTER TABLE nexent.user_tenant_t\nADD COLUMN IF NOT EXISTS user_email VARCHAR(255);\n\n-- Add comment to the new column\nCOMMENT ON COLUMN nexent.user_tenant_t.user_email IS 'User email address';\n\nINSERT INTO nexent.user_tenant_t (user_id, tenant_id, user_role, user_email, created_by, updated_by)\nVALUES ('user_id', 'tenant_id', 'SPEED', NULL, 'system', 'system')\nON CONFLICT (user_id, tenant_id) DO NOTHING;\n"
  },
  {
    "path": "docker/sql/v1.7.9_1219_add_container_id_to_mcp_record_t.sql",
    "content": "ALTER TABLE nexent.mcp_record_t\nADD COLUMN IF NOT EXISTS container_id VARCHAR(200);\n\nCOMMENT ON COLUMN nexent.mcp_record_t.container_id IS 'Docker container ID for MCP service, NULL for non-containerized MCP';\n\n\n"
  },
  {
    "path": "docker/sql/v1.8.0.1_0224_init_agent_id_seq.sql",
    "content": "CREATE SEQUENCE IF NOT EXISTS \"nexent\".\"ag_tenant_agent_t_agent_id_seq\" \nINCREMENT 1\nMINVALUE  1\nMAXVALUE 2147483647\nSTART 1\nCACHE 1;"
  },
  {
    "path": "docker/sql/v1.8.0.1_0225_delete_empty_tenant.sql",
    "content": "-- Delete erroneous tenant with empty tenant_id and all related data\n-- This script removes records where tenant_id is empty string from tenant_config_t and tenant_group_info_t\n\n-- 1. Force delete all records in tenant_config_t where tenant_id is empty string\nDELETE FROM nexent.tenant_config_t\nWHERE tenant_id = '';\n\n-- 2. Force delete all records in tenant_group_info_t where tenant_id is empty string\nDELETE FROM nexent.tenant_group_info_t\nWHERE tenant_id = '';\n"
  },
  {
    "path": "docker/sql/v1.8.0.1_0226_add_authorization_token_to_mcp_record_t.sql",
    "content": "-- Migration: Add authorization_token column to mcp_record_t table\n-- Date: 2025-03-01\n-- Description: Add authorization_token field to support MCP server authentication\n\n-- Add authorization_token column to mcp_record_t table\nALTER TABLE nexent.mcp_record_t\nADD COLUMN IF NOT EXISTS authorization_token VARCHAR(500) DEFAULT NULL;\n\n-- Add comment to the column\nCOMMENT ON COLUMN nexent.mcp_record_t.authorization_token IS 'Authorization token for MCP server authentication (e.g., Bearer token)';\n"
  },
  {
    "path": "docker/sql/v1.8.0.2_0227_add_ingroup_permission_to_ag_tenant_agent_t.sql",
    "content": "-- Migration: Add ingroup_permission column to ag_tenant_agent_t table\n-- Date: 2025-03-02\n-- Description: Add ingroup_permission field to support in-group permission control for agents\n\n-- Add ingroup_permission column to ag_tenant_agent_t table\nALTER TABLE nexent.ag_tenant_agent_t\nADD COLUMN IF NOT EXISTS ingroup_permission VARCHAR(30) DEFAULT NULL;\n\n-- Add comment to the column\nCOMMENT ON COLUMN nexent.ag_tenant_agent_t.ingroup_permission IS 'In-group permission: EDIT, READ_ONLY, PRIVATE';\n"
  },
  {
    "path": "docker/sql/v1.8.0.2_0302_add_tool_instance_id_seq_and_agent_relation_id_seq.sql",
    "content": "-- Step 1: Create sequence for auto-increment\nCREATE SEQUENCE IF NOT EXISTS \"nexent\".\"ag_tool_instance_t_tool_instance_id_seq\" \nINCREMENT 1\nMINVALUE  1\nMAXVALUE 2147483647\nSTART 1\nCACHE 1;\n\nCREATE SEQUENCE IF NOT EXISTS \"nexent\".\"ag_agent_relation_t_relation_id_seq\" \nINCREMENT 1\nMINVALUE  1\nMAXVALUE 2147483647\nSTART 1\nCACHE 1;\n"
  },
  {
    "path": "docker/sql/v1.8.0_0204_init_tenant_group.sql",
    "content": "-- Initialize tenant group and default configuration for existing tenants\n-- This migration adds default group and basic config for tenants that lack them\n-- Trigger condition: tenant has no TENANT_ID config_key in tenant_config_t\n\nDO $$\nDECLARE\n    target_tenant_id VARCHAR(100);\n    new_group_id INTEGER;\nBEGIN\n    -- Loop through each distinct tenant_id from user_tenant_t\n    FOR target_tenant_id IN\n        SELECT DISTINCT tenant_id\n        FROM nexent.user_tenant_t\n        WHERE tenant_id IS NOT NULL\n    LOOP\n        -- Check if tenant already has TENANT_ID config_key\n        IF NOT EXISTS (\n            SELECT 1 FROM nexent.tenant_config_t\n            WHERE tenant_id = target_tenant_id\n              AND config_key = 'TENANT_ID'\n              AND delete_flag = 'N'\n        ) THEN\n            -- Insert TENANT_ID config\n            INSERT INTO nexent.tenant_config_t (\n                tenant_id, user_id, value_type, config_key, config_value,\n                create_time, update_time, created_by, updated_by, delete_flag\n            ) VALUES (\n                target_tenant_id, NULL, 'single', 'TENANT_ID', target_tenant_id,\n                NOW(), NOW(), 'system', 'system', 'N'\n            );\n\n            -- Insert TENANT_NAME config if not exists\n            IF NOT EXISTS (\n                SELECT 1 FROM nexent.tenant_config_t\n                WHERE tenant_id = target_tenant_id\n                  AND config_key = 'TENANT_NAME'\n                  AND delete_flag = 'N'\n            ) THEN\n                INSERT INTO nexent.tenant_config_t (\n                    tenant_id, user_id, value_type, config_key, config_value,\n                    create_time, update_time, created_by, updated_by, delete_flag\n                ) VALUES (\n                    target_tenant_id, NULL, 'single', 'TENANT_NAME', 'Unnamed Tenant',\n                    NOW(), NOW(), 'system', 'system', 'N'\n                );\n            END IF;\n\n            -- Check if tenant already has a group\n            IF NOT EXISTS (\n                SELECT 1 FROM nexent.tenant_group_info_t\n                WHERE tenant_id = target_tenant_id\n                  AND delete_flag = 'N'\n            ) THEN\n                -- Insert default group\n                INSERT INTO nexent.tenant_group_info_t (\n                    tenant_id, group_name, group_description,\n                    create_time, update_time, created_by, updated_by, delete_flag\n                ) VALUES (\n                    target_tenant_id, 'Default Group', 'Default group for tenant',\n                    NOW(), NOW(), 'system', 'system', 'N'\n                ) RETURNING group_id INTO new_group_id;\n\n                -- Insert DEFAULT_GROUP_ID config\n                IF new_group_id IS NOT NULL THEN\n                    INSERT INTO nexent.tenant_config_t (\n                        tenant_id, user_id, value_type, config_key, config_value,\n                        create_time, update_time, created_by, updated_by, delete_flag\n                    ) VALUES (\n                        target_tenant_id, NULL, 'single', 'DEFAULT_GROUP_ID', new_group_id::VARCHAR,\n                        NOW(), NOW(), 'system', 'system', 'N'\n                    );\n                END IF;\n            END IF;\n        END IF;\n    END LOOP;\nEND $$;\n"
  },
  {
    "path": "docker/sql/v1.8.0_0206_add_ag_tenant_agent_version_t .sql",
    "content": "-- 步骤 1：添加 nullable 的 version_no 字段（不设默认值，让显式赋值）\nALTER TABLE nexent.ag_tenant_agent_t\nADD COLUMN IF NOT EXISTS version_no INTEGER NULL;\n\nALTER TABLE nexent.ag_tool_instance_t\nADD COLUMN IF NOT EXISTS version_no INTEGER NULL;\n\nALTER TABLE nexent.ag_agent_relation_t\nADD COLUMN IF NOT EXISTS version_no INTEGER NULL;\n\n-- 步骤 2：更新所有历史数据的 version_no 为 0\nUPDATE nexent.ag_tenant_agent_t SET version_no = 0 WHERE version_no IS NULL;\nUPDATE nexent.ag_tool_instance_t SET version_no = 0 WHERE version_no IS NULL;\nUPDATE nexent.ag_agent_relation_t SET version_no = 0 WHERE version_no IS NULL;\n\n-- 步骤 3：将字段设为 NOT NULL，并设置默认值 0\nALTER TABLE nexent.ag_tenant_agent_t ALTER COLUMN version_no SET NOT NULL;\nALTER TABLE nexent.ag_tenant_agent_t ALTER COLUMN version_no SET DEFAULT 0;\n\nALTER TABLE nexent.ag_tool_instance_t ALTER COLUMN version_no SET NOT NULL;\nALTER TABLE nexent.ag_tool_instance_t ALTER COLUMN version_no SET DEFAULT 0;\n\nALTER TABLE nexent.ag_agent_relation_t ALTER COLUMN version_no SET NOT NULL;\nALTER TABLE nexent.ag_agent_relation_t ALTER COLUMN version_no SET DEFAULT 0;\n\n-- 步骤 4：为 ag_tenant_agent_t 添加 current_version_no 字段\nALTER TABLE nexent.ag_tenant_agent_t\nADD COLUMN IF NOT EXISTS current_version_no INTEGER NULL;\n\n-- 步骤5：修改主键\nALTER TABLE nexent.ag_tenant_agent_t DROP CONSTRAINT ag_tenant_agent_t_pkey;\nALTER TABLE nexent.ag_tenant_agent_t ADD CONSTRAINT ag_tenant_agent_t_pkey PRIMARY KEY (agent_id, version_no);\n\nALTER TABLE nexent.ag_tool_instance_t DROP CONSTRAINT ag_tool_instance_t_pkey;\nALTER TABLE nexent.ag_tool_instance_t ADD CONSTRAINT ag_tool_instance_t_pkey PRIMARY KEY (tool_instance_id, version_no);\n\nALTER TABLE nexent.ag_agent_relation_t DROP CONSTRAINT ag_agent_relation_t_pkey;\nALTER TABLE nexent.ag_agent_relation_t ADD CONSTRAINT ag_agent_relation_t_pkey PRIMARY KEY (relation_id, version_no);\n\n-- 步骤6：新增agent版本管理表\nCREATE TABLE IF NOT EXISTS nexent.ag_tenant_agent_version_t (\n    id BIGSERIAL PRIMARY KEY,\n    tenant_id VARCHAR(100) NOT NULL,\n    agent_id INTEGER NOT NULL,\n    version_no INTEGER NOT NULL,\n    version_name VARCHAR(100),                    -- 用户自定义版本名称\n    release_note TEXT,                            -- 发布备注\n\n    source_version_no INTEGER NULL,               -- 来源版本号（回滚时记录）\n    source_type VARCHAR(30) NULL,                 -- 来源类型：NORMAL(正常发布) / ROLLBACK(回滚产生)\n\n    status VARCHAR(30) DEFAULT 'RELEASED',        -- 版本状态：RELEASED / DISABLED / ARCHIVED\n\n    created_by VARCHAR(100) NOT NULL,\n    create_time TIMESTAMP(6) DEFAULT CURRENT_TIMESTAMP,\n    updated_by VARCHAR(100),\n    update_time TIMESTAMP(6) DEFAULT CURRENT_TIMESTAMP,\n    delete_flag VARCHAR(1) DEFAULT 'N'\n);\n\nALTER TABLE nexent.ag_tenant_agent_version_t OWNER TO \"root\";\n\n-- 步骤 7：添加COMMENT\nCOMMENT ON COLUMN nexent.ag_tenant_agent_t.version_no IS 'Version number. 0 = draft/editing state, >=1 = published snapshot';\nCOMMENT ON COLUMN nexent.ag_tenant_agent_t.current_version_no IS 'Current published version number. NULL means no version published yet';\nCOMMENT ON COLUMN nexent.ag_tool_instance_t.version_no IS 'Version number. 0 = draft/editing state, >=1 = published snapshot';\nCOMMENT ON COLUMN nexent.ag_agent_relation_t.version_no IS 'Version number. 0 = draft/editing state, >=1 = published snapshot';\n\nCOMMENT ON TABLE nexent.ag_tenant_agent_version_t IS 'Agent version metadata table. Stores version info, release notes, and version lineage.';\n\nCOMMENT ON COLUMN nexent.ag_tenant_agent_version_t.id IS 'Primary key, auto-increment';\nCOMMENT ON COLUMN nexent.ag_tenant_agent_version_t.tenant_id IS 'Tenant ID';\nCOMMENT ON COLUMN nexent.ag_tenant_agent_version_t.agent_id IS 'Agent ID';\nCOMMENT ON COLUMN nexent.ag_tenant_agent_version_t.version_no IS 'Version number, starts from 1. Does not include 0 (draft)';\nCOMMENT ON COLUMN nexent.ag_tenant_agent_version_t.version_name IS 'User-defined version name for display (e.g., \"Stable v2.1\", \"Hotfix-001\"). NULL means use version_no as display.';\nCOMMENT ON COLUMN nexent.ag_tenant_agent_version_t.release_note IS 'Release notes / publish remarks';\nCOMMENT ON COLUMN nexent.ag_tenant_agent_version_t.source_version_no IS 'Source version number. If this version is a rollback, record the source version number.';\nCOMMENT ON COLUMN nexent.ag_tenant_agent_version_t.source_type IS 'Source type: NORMAL (normal publish) / ROLLBACK (rollback and republish).';\nCOMMENT ON COLUMN nexent.ag_tenant_agent_version_t.status IS 'Version status: RELEASED / DISABLED / ARCHIVED';\nCOMMENT ON COLUMN nexent.ag_tenant_agent_version_t.created_by IS 'User who published this version';\nCOMMENT ON COLUMN nexent.ag_tenant_agent_version_t.create_time IS 'Version creation timestamp';\nCOMMENT ON COLUMN nexent.ag_tenant_agent_version_t.updated_by IS 'Last user who updated this version';\nCOMMENT ON COLUMN nexent.ag_tenant_agent_version_t.update_time IS 'Last update timestamp';\nCOMMENT ON COLUMN nexent.ag_tenant_agent_version_t.delete_flag IS 'Soft delete flag: Y/N';\n"
  },
  {
    "path": "docker/sql/v1.8.0_0206_init_role_permission_t.sql",
    "content": "DELETE FROM nexent.role_permission_t;\n\nINSERT INTO nexent.role_permission_t (role_permission_id, user_role, permission_category, permission_type, permission_subtype) VALUES\n(1, 'SU', 'VISIBILITY', 'LEFT_NAV_MENU', '/'),\n(2, 'SU', 'VISIBILITY', 'LEFT_NAV_MENU', '/monitoring'),\n(3, 'SU', 'VISIBILITY', 'LEFT_NAV_MENU', '/tenant-resources'),\n(4, 'SU', 'RESOURCE', 'AGENT', 'READ'),\n(5, 'SU', 'RESOURCE', 'AGENT', 'DELETE'),\n(6, 'SU', 'RESOURCE', 'KB', 'READ'),\n(7, 'SU', 'RESOURCE', 'KB', 'DELETE'),\n(8, 'SU', 'RESOURCE', 'KB.GROUPS', 'READ'),\n(9, 'SU', 'RESOURCE', 'KB.GROUPS', 'UPDATE'),\n(10, 'SU', 'RESOURCE', 'KB.GROUPS', 'DELETE'),\n(11, 'SU', 'RESOURCE', 'USER.ROLE', 'READ'),\n(12, 'SU', 'RESOURCE', 'USER.ROLE', 'UPDATE'),\n(13, 'SU', 'RESOURCE', 'USER.ROLE', 'DELETE'),\n(14, 'SU', 'RESOURCE', 'MCP', 'READ'),\n(15, 'SU', 'RESOURCE', 'MCP', 'DELETE'),\n(16, 'SU', 'RESOURCE', 'MEM.SETTING', 'READ'),\n(17, 'SU', 'RESOURCE', 'MEM.SETTING', 'UPDATE'),\n(18, 'SU', 'RESOURCE', 'MEM.AGENT', 'READ'),\n(19, 'SU', 'RESOURCE', 'MEM.AGENT', 'DELETE'),\n(20, 'SU', 'RESOURCE', 'MEM.PRIVATE', 'READ'),\n(21, 'SU', 'RESOURCE', 'MEM.PRIVATE', 'DELETE'),\n(22, 'SU', 'RESOURCE', 'MODEL', 'CREATE'),\n(23, 'SU', 'RESOURCE', 'MODEL', 'READ'),\n(24, 'SU', 'RESOURCE', 'MODEL', 'UPDATE'),\n(25, 'SU', 'RESOURCE', 'MODEL', 'DELETE'),\n(26, 'SU', 'RESOURCE', 'TENANT', 'CREATE'),\n(27, 'SU', 'RESOURCE', 'TENANT', 'READ'),\n(28, 'SU', 'RESOURCE', 'TENANT', 'UPDATE'),\n(29, 'SU', 'RESOURCE', 'TENANT', 'DELETE'),\n(30, 'SU', 'RESOURCE', 'TENANT.LIST', 'READ'),\n(31, 'SU', 'RESOURCE', 'TENANT.INFO', 'READ'),\n(32, 'SU', 'RESOURCE', 'TENANT.INFO', 'UPDATE'),\n(33, 'SU', 'RESOURCE', 'TENANT.INVITE', 'CREATE'),\n(34, 'SU', 'RESOURCE', 'TENANT.INVITE', 'READ'),\n(35, 'SU', 'RESOURCE', 'TENANT.INVITE', 'UPDATE'),\n(36, 'SU', 'RESOURCE', 'TENANT.INVITE', 'DELETE'),\n(37, 'SU', 'RESOURCE', 'GROUP', 'CREATE'),\n(38, 'SU', 'RESOURCE', 'GROUP', 'READ'),\n(39, 'SU', 'RESOURCE', 'GROUP', 'UPDATE'),\n(40, 'SU', 'RESOURCE', 'GROUP', 'DELETE'),\n(41, 'ADMIN', 'VISIBILITY', 'LEFT_NAV_MENU', '/'),\n(42, 'ADMIN', 'VISIBILITY', 'LEFT_NAV_MENU', '/chat'),\n(43, 'ADMIN', 'VISIBILITY', 'LEFT_NAV_MENU', '/setup'),\n(44, 'ADMIN', 'VISIBILITY', 'LEFT_NAV_MENU', '/space'),\n(45, 'ADMIN', 'VISIBILITY', 'LEFT_NAV_MENU', '/market'),\n(46, 'ADMIN', 'VISIBILITY', 'LEFT_NAV_MENU', '/agents'),\n(47, 'ADMIN', 'VISIBILITY', 'LEFT_NAV_MENU', '/knowledges'),\n(48, 'ADMIN', 'VISIBILITY', 'LEFT_NAV_MENU', '/mcp-tools'),\n(49, 'ADMIN', 'VISIBILITY', 'LEFT_NAV_MENU', '/monitoring'),\n(50, 'ADMIN', 'VISIBILITY', 'LEFT_NAV_MENU', '/models'),\n(51, 'ADMIN', 'VISIBILITY', 'LEFT_NAV_MENU', '/memory'),\n(52, 'ADMIN', 'VISIBILITY', 'LEFT_NAV_MENU', '/users'),\n(53, 'ADMIN', 'VISIBILITY', 'LEFT_NAV_MENU', '/tenant-resources'),\n(54, 'ADMIN', 'RESOURCE', 'AGENT', 'CREATE'),\n(55, 'ADMIN', 'RESOURCE', 'AGENT', 'READ'),\n(56, 'ADMIN', 'RESOURCE', 'AGENT', 'UPDATE'),\n(57, 'ADMIN', 'RESOURCE', 'AGENT', 'DELETE'),\n(58, 'ADMIN', 'RESOURCE', 'KB', 'CREATE'),\n(59, 'ADMIN', 'RESOURCE', 'KB', 'READ'),\n(60, 'ADMIN', 'RESOURCE', 'KB', 'UPDATE'),\n(61, 'ADMIN', 'RESOURCE', 'KB', 'DELETE'),\n(62, 'ADMIN', 'RESOURCE', 'KB.GROUPS', 'READ'),\n(63, 'ADMIN', 'RESOURCE', 'KB.GROUPS', 'UPDATE'),\n(64, 'ADMIN', 'RESOURCE', 'KB.GROUPS', 'DELETE'),\n(65, 'ADMIN', 'RESOURCE', 'USER.ROLE', 'READ'),\n(66, 'ADMIN', 'RESOURCE', 'MCP', 'CREATE'),\n(67, 'ADMIN', 'RESOURCE', 'MCP', 'READ'),\n(68, 'ADMIN', 'RESOURCE', 'MCP', 'UPDATE'),\n(69, 'ADMIN', 'RESOURCE', 'MCP', 'DELETE'),\n(70, 'ADMIN', 'RESOURCE', 'MEM.SETTING', 'READ'),\n(71, 'ADMIN', 'RESOURCE', 'MEM.SETTING', 'UPDATE'),\n(72, 'ADMIN', 'RESOURCE', 'MEM.AGENT', 'CREATE'),\n(73, 'ADMIN', 'RESOURCE', 'MEM.AGENT', 'READ'),\n(74, 'ADMIN', 'RESOURCE', 'MEM.AGENT', 'DELETE'),\n(75, 'ADMIN', 'RESOURCE', 'MEM.PRIVATE', 'CREATE'),\n(76, 'ADMIN', 'RESOURCE', 'MEM.PRIVATE', 'READ'),\n(77, 'ADMIN', 'RESOURCE', 'MEM.PRIVATE', 'DELETE'),\n(78, 'ADMIN', 'RESOURCE', 'MODEL', 'CREATE'),\n(79, 'ADMIN', 'RESOURCE', 'MODEL', 'READ'),\n(80, 'ADMIN', 'RESOURCE', 'MODEL', 'UPDATE'),\n(81, 'ADMIN', 'RESOURCE', 'MODEL', 'DELETE'),\n(82, 'ADMIN', 'RESOURCE', 'TENANT.INFO', 'READ'),\n(83, 'ADMIN', 'RESOURCE', 'TENANT.INFO', 'UPDATE'),\n(84, 'ADMIN', 'RESOURCE', 'TENANT.INVITE', 'CREATE'),\n(85, 'ADMIN', 'RESOURCE', 'TENANT.INVITE', 'READ'),\n(86, 'ADMIN', 'RESOURCE', 'TENANT.INVITE', 'UPDATE'),\n(87, 'ADMIN', 'RESOURCE', 'TENANT.INVITE', 'DELETE'),\n(88, 'ADMIN', 'RESOURCE', 'GROUP', 'CREATE'),\n(89, 'ADMIN', 'RESOURCE', 'GROUP', 'READ'),\n(90, 'ADMIN', 'RESOURCE', 'GROUP', 'UPDATE'),\n(91, 'ADMIN', 'RESOURCE', 'GROUP', 'DELETE'),\n(92, 'DEV', 'VISIBILITY', 'LEFT_NAV_MENU', '/'),\n(93, 'DEV', 'VISIBILITY', 'LEFT_NAV_MENU', '/chat'),\n(94, 'DEV', 'VISIBILITY', 'LEFT_NAV_MENU', '/setup'),\n(95, 'DEV', 'VISIBILITY', 'LEFT_NAV_MENU', '/space'),\n(96, 'DEV', 'VISIBILITY', 'LEFT_NAV_MENU', '/market'),\n(97, 'DEV', 'VISIBILITY', 'LEFT_NAV_MENU', '/agents'),\n(98, 'DEV', 'VISIBILITY', 'LEFT_NAV_MENU', '/knowledges'),\n(99, 'DEV', 'VISIBILITY', 'LEFT_NAV_MENU', '/mcp-tools'),\n(100, 'DEV', 'VISIBILITY', 'LEFT_NAV_MENU', '/monitoring'),\n(101, 'DEV', 'VISIBILITY', 'LEFT_NAV_MENU', '/models'),\n(102, 'DEV', 'VISIBILITY', 'LEFT_NAV_MENU', '/memory'),\n(103, 'DEV', 'VISIBILITY', 'LEFT_NAV_MENU', '/users'),\n(104, 'DEV', 'RESOURCE', 'AGENT', 'CREATE'),\n(105, 'DEV', 'RESOURCE', 'AGENT', 'READ'),\n(106, 'DEV', 'RESOURCE', 'AGENT', 'UPDATE'),\n(107, 'DEV', 'RESOURCE', 'AGENT', 'DELETE'),\n(108, 'DEV', 'RESOURCE', 'KB', 'CREATE'),\n(109, 'DEV', 'RESOURCE', 'KB', 'READ'),\n(110, 'DEV', 'RESOURCE', 'KB', 'UPDATE'),\n(111, 'DEV', 'RESOURCE', 'KB', 'DELETE'),\n(112, 'DEV', 'RESOURCE', 'KB.GROUPS', 'READ'),\n(113, 'DEV', 'RESOURCE', 'KB.GROUPS', 'UPDATE'),\n(114, 'DEV', 'RESOURCE', 'KB.GROUPS', 'DELETE'),\n(115, 'DEV', 'RESOURCE', 'USER.ROLE', 'READ'),\n(116, 'DEV', 'RESOURCE', 'MCP', 'CREATE'),\n(117, 'DEV', 'RESOURCE', 'MCP', 'READ'),\n(118, 'DEV', 'RESOURCE', 'MCP', 'UPDATE'),\n(119, 'DEV', 'RESOURCE', 'MCP', 'DELETE'),\n(120, 'DEV', 'RESOURCE', 'MEM.SETTING', 'READ'),\n(121, 'DEV', 'RESOURCE', 'MEM.SETTING', 'UPDATE'),\n(122, 'DEV', 'RESOURCE', 'MEM.AGENT', 'READ'),\n(123, 'DEV', 'RESOURCE', 'MEM.PRIVATE', 'CREATE'),\n(124, 'DEV', 'RESOURCE', 'MEM.PRIVATE', 'READ'),\n(125, 'DEV', 'RESOURCE', 'MEM.PRIVATE', 'DELETE'),\n(126, 'DEV', 'RESOURCE', 'MODEL', 'READ'),\n(127, 'DEV', 'RESOURCE', 'TENANT.INFO', 'READ'),\n(128, 'DEV', 'RESOURCE', 'GROUP', 'READ'),\n(129, 'USER', 'VISIBILITY', 'LEFT_NAV_MENU', '/'),\n(130, 'USER', 'VISIBILITY', 'LEFT_NAV_MENU', '/chat'),\n(131, 'USER', 'VISIBILITY', 'LEFT_NAV_MENU', '/memory'),\n(132, 'USER', 'VISIBILITY', 'LEFT_NAV_MENU', '/users'),\n(133, 'USER', 'RESOURCE', 'AGENT', 'READ'),\n(134, 'USER', 'RESOURCE', 'USER.ROLE', 'READ'),\n(135, 'USER', 'RESOURCE', 'MEM.SETTING', 'READ'),\n(136, 'USER', 'RESOURCE', 'MEM.SETTING', 'UPDATE'),\n(137, 'USER', 'RESOURCE', 'MEM.AGENT', 'READ'),\n(138, 'USER', 'RESOURCE', 'MEM.PRIVATE', 'CREATE'),\n(139, 'USER', 'RESOURCE', 'MEM.PRIVATE', 'READ'),\n(140, 'USER', 'RESOURCE', 'MEM.PRIVATE', 'DELETE'),\n(141, 'USER', 'RESOURCE', 'TENANT.INFO', 'READ'),\n(142, 'USER', 'RESOURCE', 'GROUP', 'READ'),\n(143, 'SPEED', 'VISIBILITY', 'LEFT_NAV_MENU', '/'),\n(144, 'SPEED', 'VISIBILITY', 'LEFT_NAV_MENU', '/chat'),\n(145, 'SPEED', 'VISIBILITY', 'LEFT_NAV_MENU', '/setup'),\n(146, 'SPEED', 'VISIBILITY', 'LEFT_NAV_MENU', '/space'),\n(147, 'SPEED', 'VISIBILITY', 'LEFT_NAV_MENU', '/market'),\n(148, 'SPEED', 'VISIBILITY', 'LEFT_NAV_MENU', '/agents'),\n(149, 'SPEED', 'VISIBILITY', 'LEFT_NAV_MENU', '/knowledges'),\n(150, 'SPEED', 'VISIBILITY', 'LEFT_NAV_MENU', '/mcp-tools'),\n(151, 'SPEED', 'VISIBILITY', 'LEFT_NAV_MENU', '/monitoring'),\n(152, 'SPEED', 'VISIBILITY', 'LEFT_NAV_MENU', '/models'),\n(153, 'SPEED', 'VISIBILITY', 'LEFT_NAV_MENU', '/memory'),\n(154, 'SPEED', 'RESOURCE', 'AGENT', 'CREATE'),\n(155, 'SPEED', 'RESOURCE', 'AGENT', 'READ'),\n(156, 'SPEED', 'RESOURCE', 'AGENT', 'UPDATE'),\n(157, 'SPEED', 'RESOURCE', 'AGENT', 'DELETE'),\n(158, 'SPEED', 'RESOURCE', 'KB', 'CREATE'),\n(159, 'SPEED', 'RESOURCE', 'KB', 'READ'),\n(160, 'SPEED', 'RESOURCE', 'KB', 'UPDATE'),\n(161, 'SPEED', 'RESOURCE', 'KB', 'DELETE'),\n(166, 'SPEED', 'RESOURCE', 'MCP', 'CREATE'),\n(167, 'SPEED', 'RESOURCE', 'MCP', 'READ'),\n(168, 'SPEED', 'RESOURCE', 'MCP', 'UPDATE'),\n(169, 'SPEED', 'RESOURCE', 'MCP', 'DELETE'),\n(170, 'SPEED', 'RESOURCE', 'MEM.SETTING', 'READ'),\n(171, 'SPEED', 'RESOURCE', 'MEM.SETTING', 'UPDATE'),\n(172, 'SPEED', 'RESOURCE', 'MEM.AGENT', 'CREATE'),\n(173, 'SPEED', 'RESOURCE', 'MEM.AGENT', 'READ'),\n(174, 'SPEED', 'RESOURCE', 'MEM.AGENT', 'DELETE'),\n(175, 'SPEED', 'RESOURCE', 'MEM.PRIVATE', 'CREATE'),\n(176, 'SPEED', 'RESOURCE', 'MEM.PRIVATE', 'READ'),\n(177, 'SPEED', 'RESOURCE', 'MEM.PRIVATE', 'DELETE'),\n(178, 'SPEED', 'RESOURCE', 'MODEL', 'CREATE'),\n(179, 'SPEED', 'RESOURCE', 'MODEL', 'READ'),\n(180, 'SPEED', 'RESOURCE', 'MODEL', 'UPDATE'),\n(181, 'SPEED', 'RESOURCE', 'MODEL', 'DELETE'),\n(182, 'SPEED', 'RESOURCE', 'TENANT.INFO', 'READ'),\n(183, 'SPEED', 'RESOURCE', 'TENANT.INFO', 'UPDATE'),\n(184, 'SPEED', 'RESOURCE', 'TENANT.INVITE', 'CREATE'),\n(185, 'SPEED', 'RESOURCE', 'TENANT.INVITE', 'READ'),\n(186, 'SPEED', 'RESOURCE', 'TENANT.INVITE', 'UPDATE'),\n(187, 'SPEED', 'RESOURCE', 'TENANT.INVITE', 'DELETE')\n"
  },
  {
    "path": "docker/sql/v1.8.1_0306_add_user_token_info.sql",
    "content": "-- Migration: Add user_token_info_t and user_token_usage_log_t tables\n-- Date: 2026-03-06\n-- Description: Create user token (AK/SK) management tables with audit fields\n\n-- Set search path to nexent schema\nSET search_path TO nexent;\n\n-- Create the user_token_info_t table in the nexent schema\nCREATE TABLE IF NOT EXISTS nexent.user_token_info_t (\n    token_id SERIAL4 PRIMARY KEY NOT NULL,\n    access_key VARCHAR(100) NOT NULL,\n    user_id VARCHAR(100) NOT NULL,\n    create_time TIMESTAMP WITHOUT TIME ZONE DEFAULT CURRENT_TIMESTAMP,\n    update_time TIMESTAMP WITHOUT TIME ZONE DEFAULT CURRENT_TIMESTAMP,\n    created_by VARCHAR(100),\n    updated_by VARCHAR(100),\n    delete_flag VARCHAR(1) DEFAULT 'N'\n);\n\nALTER TABLE \"user_token_info_t\" OWNER TO \"root\";\n\n-- Add comment to the table\nCOMMENT ON TABLE nexent.user_token_info_t IS 'User token (AK/SK) information table';\n\n-- Add comments to the columns\nCOMMENT ON COLUMN nexent.user_token_info_t.token_id IS 'Token ID, unique primary key';\nCOMMENT ON COLUMN nexent.user_token_info_t.access_key IS 'Access Key (AK)';\nCOMMENT ON COLUMN nexent.user_token_info_t.user_id IS 'User ID who owns this token';\nCOMMENT ON COLUMN nexent.user_token_info_t.create_time IS 'Creation time, audit field';\nCOMMENT ON COLUMN nexent.user_token_info_t.update_time IS 'Update time, audit field';\nCOMMENT ON COLUMN nexent.user_token_info_t.created_by IS 'Creator ID, audit field';\nCOMMENT ON COLUMN nexent.user_token_info_t.updated_by IS 'Last updater ID, audit field';\nCOMMENT ON COLUMN nexent.user_token_info_t.delete_flag IS 'Soft delete flag, Y means deleted';\n\n-- Create unique index on access_key to ensure uniqueness\nCREATE UNIQUE INDEX IF NOT EXISTS idx_user_token_info_access_key ON nexent.user_token_info_t(access_key) WHERE delete_flag = 'N';\n\n-- Create index on user_id for query performance\nCREATE INDEX IF NOT EXISTS idx_user_token_info_user_id ON nexent.user_token_info_t(user_id) WHERE delete_flag = 'N';\n\n-- Create a function to update the update_time column\nCREATE OR REPLACE FUNCTION update_user_token_info_update_time()\nRETURNS TRIGGER AS $$\nBEGIN\n    NEW.update_time = CURRENT_TIMESTAMP;\n    RETURN NEW;\nEND;\n$$ LANGUAGE plpgsql;\n\n-- Add comment to the function\nCOMMENT ON FUNCTION update_user_token_info_update_time() IS 'Function to update the update_time column when a record in user_token_info_t is updated';\n\n-- Create a trigger to call the function before each update\nDROP TRIGGER IF EXISTS update_user_token_info_update_time_trigger ON nexent.user_token_info_t;\nCREATE TRIGGER update_user_token_info_update_time_trigger\nBEFORE UPDATE ON nexent.user_token_info_t\nFOR EACH ROW\nEXECUTE FUNCTION update_user_token_info_update_time();\n\n-- Add comment to the trigger\nCOMMENT ON TRIGGER update_user_token_info_update_time_trigger ON nexent.user_token_info_t IS 'Trigger to call update_user_token_info_update_time function before each update on user_token_info_t table';\n\n\n-- Create the user_token_usage_log_t table in the nexent schema\nCREATE TABLE IF NOT EXISTS nexent.user_token_usage_log_t (\n    token_usage_id SERIAL4 PRIMARY KEY NOT NULL,\n    token_id INT4 NOT NULL,\n    call_function_name VARCHAR(100),\n    related_id INT4,\n    meta_data JSONB,\n    create_time TIMESTAMP WITHOUT TIME ZONE DEFAULT CURRENT_TIMESTAMP,\n    update_time TIMESTAMP WITHOUT TIME ZONE DEFAULT CURRENT_TIMESTAMP,\n    created_by VARCHAR(100),\n    updated_by VARCHAR(100),\n    delete_flag VARCHAR(1) DEFAULT 'N'\n);\n\nALTER TABLE \"user_token_usage_log_t\" OWNER TO \"root\";\n\n-- Add comment to the table\nCOMMENT ON TABLE nexent.user_token_usage_log_t IS 'User token usage log table';\n\n-- Add comments to the columns\nCOMMENT ON COLUMN nexent.user_token_usage_log_t.token_usage_id IS 'Token usage log ID, unique primary key';\nCOMMENT ON COLUMN nexent.user_token_usage_log_t.token_id IS 'Foreign key to user_token_info_t.token_id';\nCOMMENT ON COLUMN nexent.user_token_usage_log_t.call_function_name IS 'API function name being called';\nCOMMENT ON COLUMN nexent.user_token_usage_log_t.related_id IS 'Related resource ID (e.g., conversation_id)';\nCOMMENT ON COLUMN nexent.user_token_usage_log_t.meta_data IS 'Additional metadata for this usage log entry, stored as JSON';\nCOMMENT ON COLUMN nexent.user_token_usage_log_t.create_time IS 'Creation time, audit field';\nCOMMENT ON COLUMN nexent.user_token_usage_log_t.update_time IS 'Update time, audit field';\nCOMMENT ON COLUMN nexent.user_token_usage_log_t.created_by IS 'Creator ID, audit field';\nCOMMENT ON COLUMN nexent.user_token_usage_log_t.updated_by IS 'Last updater ID, audit field';\nCOMMENT ON COLUMN nexent.user_token_usage_log_t.delete_flag IS 'Soft delete flag, Y means deleted';\n\n-- Create index on token_id for query performance\nCREATE INDEX IF NOT EXISTS idx_user_token_usage_log_token_id ON nexent.user_token_usage_log_t(token_id);\n\n-- Create index on call_function_name for query performance\nCREATE INDEX IF NOT EXISTS idx_user_token_usage_log_function_name ON nexent.user_token_usage_log_t(call_function_name);\n\n-- Add foreign key constraint\nALTER TABLE nexent.user_token_usage_log_t\nADD CONSTRAINT fk_user_token_usage_log_token_id\nFOREIGN KEY (token_id)\nREFERENCES nexent.user_token_info_t(token_id)\nON DELETE CASCADE;\n\n\n-- Migration: Remove partner_mapping_id_t table for northbound conversation ID mapping\n-- Date: 2026-03-10\n-- Description: Remove the external-internal conversation ID mapping table as northbound APIs now use internal conversation IDs directly\n-- Note: This table is no longer needed after refactoring northbound authentication logic\n\n-- Drop the partner_mapping_id_t table if it exists\nDROP TABLE IF EXISTS nexent.partner_mapping_id_t CASCADE;\n\n-- Drop the associated sequence if it exists\nDROP SEQUENCE IF EXISTS nexent.partner_mapping_id_t_id_seq;\n"
  },
  {
    "path": "docker/start-monitoring.sh",
    "content": "#!/bin/bash\n\n# Nexent LLM Performance Monitoring Setup Script\n# This script sets up OpenTelemetry + Jaeger + Prometheus + Grafana for monitoring\n\nset -e\n\nSCRIPT_DIR=\"$(cd \"$(dirname \"${BASH_SOURCE[0]}\")\" && pwd)\"\nMONITORING_DIR=\"$SCRIPT_DIR/monitoring\"\n\necho \"🚀 Starting Nexent LLM Performance Monitoring Setup...\"\n\n# Check if Docker is running\nif ! docker info > /dev/null 2>&1; then\n    echo \"❌ Error: Docker is not running. Please start Docker first.\"\n    exit 1\nfi\n\n# Create external network if it doesn't exist\nif ! docker network ls | grep -q nexent-network; then\n    echo \"🔗 Creating nexent-network...\"\n    docker network create nexent-network\nelse\n    echo \"✅ nexent-network already exists\"\nfi\n\n# Copy environment file if it doesn't exist\nif [ ! -f \"$MONITORING_DIR/monitoring.env\" ]; then\n    echo \"📋 Creating monitoring.env from example...\"\n    cp \"$MONITORING_DIR/monitoring.env.example\" \"$MONITORING_DIR/monitoring.env\"\n    echo \"⚠️  Please review and update $MONITORING_DIR/monitoring.env as needed\"\nfi\n\n# Start monitoring services\necho \"🐳 Starting monitoring services...\"\ndocker-compose -f \"$SCRIPT_DIR/docker-compose-monitoring.yml\" --env-file \"$MONITORING_DIR/monitoring.env\" up -d\n\n# Wait for services to be ready\necho \"⏳ Waiting for services to start...\"\nsleep 10\n\n# Check service health with timeout\necho \"🔍 Checking service health...\"\n\n# Function to check service health with timeout\ncheck_service() {\n    local name=$1\n    local url=$2\n    local port=$3\n    \n    if curl -s --max-time 5 --connect-timeout 3 \"$url\" > /dev/null 2>&1; then\n        echo \"✅ $name is running at http://localhost:$port\"\n        return 0\n    else\n        echo \"⚠️  $name may not be ready yet (will start in background)\"\n        return 1\n    fi\n}\n\n# Check Jaeger\ncheck_service \"Jaeger\" \"http://localhost:16686/api/services\" \"16686\" || true\n\n# Check Prometheus\ncheck_service \"Prometheus\" \"http://localhost:9090/-/healthy\" \"9090\" || true\n\n# Check Grafana\ncheck_service \"Grafana\" \"http://localhost:3005/api/health\" \"3005\" || true\n\necho \"\"\necho \"🎉 Monitoring setup complete!\"\necho \"\"\necho \"📊 Access your monitoring tools:\"\necho \"   • Jaeger UI:    http://localhost:16686\"\necho \"   • Prometheus:   http://localhost:9090\"\necho \"   • Grafana:      http://localhost:3005 (admin/admin)\"\necho \"\"\necho \"🔧 To enable monitoring in your Nexent backend:\"\necho \"   1. Set ENABLE_TELEMETRY=true in your .env file\"\necho \"   2. Install performance dependencies:\"\necho \"      uv sync --extra performance\"\necho \"   3. Restart your Nexent backend service\"\necho \"\"\necho \"📈 Key Metrics to Monitor:\"\necho \"   • Token Generation Rate (tokens/second)\"\necho \"   • Time to First Token (TTFT)\"\necho \"   • Request Duration\"\necho \"   • Error Rates\"\necho \"\"\necho \"🛑 To stop monitoring services: docker-compose -f docker-compose-monitoring.yml down\"\n"
  },
  {
    "path": "docker/uninstall.sh",
    "content": "#!/bin/bash\n\ndocker rm -f nexent\ndocker rm -f nexent-postgresql\ndocker rm -f nexent-minio\ndocker rm -f nexent-elasticsearch\ndocker rm -f nexent-data-process\ndocker rm -f nexent-web\ndocker rm -f nexent-redis\ndocker rm -f supabase-kong-mini\ndocker rm -f supabase-auth-mini\ndocker rm -f supabase-db-mini\ndocker network rm nexent_nexent"
  },
  {
    "path": "docker/upgrade.sh",
    "content": "#!/bin/bash\n\nset -euo pipefail\n\nSCRIPT_DIR=\"$(cd \"$(dirname \"${BASH_SOURCE[0]}\")\" && pwd)\"\nPROJECT_ROOT=\"$(cd \"$SCRIPT_DIR/..\" && pwd)\"\nOPTIONS_FILE=\"$SCRIPT_DIR/deploy.options\"\nCONST_FILE=\"$PROJECT_ROOT/backend/consts/const.py\"\nDEPLOY_SCRIPT=\"$SCRIPT_DIR/deploy.sh\"\nSQL_DIR=\"$SCRIPT_DIR/sql\"\nENV_FILE=\"$SCRIPT_DIR/.env\"\nV180_SCRIPT=\"$SCRIPT_DIR/scripts/v180_sync_user_metadata.sh\"\nV180_VERSION=\"1.8.0\"\n\ndeclare -A DEPLOY_OPTIONS\nUPGRADE_SQL_FILES=()\n\nlog() {\n  local level=\"$1\"\n  shift\n  printf \"[%s] %s\\n\" \"$level\" \"$*\"\n}\n\nrequire_file() {\n  local path=\"$1\"\n  local message=\"$2\"\n  if [ ! -f \"$path\" ]; then\n    log \"ERROR\" \"$message\"\n    exit 1\n  fi\n}\n\ntrim_quotes() {\n  local value=\"$1\"\n  value=\"${value%$'\\r'}\"\n  value=\"${value%\\\"}\"\n  value=\"${value#\\\"}\"\n  echo \"$value\"\n}\n\nload_options() {\n  if [ ! -f \"$OPTIONS_FILE\" ]; then\n    log \"WARN\" \"⚙️  deploy.options not found, entering interactive configuration mode.\"\n    : > \"$OPTIONS_FILE\"\n    return\n  fi\n  while IFS= read -r line || [ -n \"$line\" ]; do\n    [[ -z \"$line\" || \"$line\" =~ ^[[:space:]]*# ]] && continue\n    if [[ \"$line\" =~ ^[[:space:]]*([A-Za-z0-9_]+)[[:space:]]*=(.*)$ ]]; then\n      local key=\"${BASH_REMATCH[1]}\"\n      local raw_value=\"${BASH_REMATCH[2]}\"\n      raw_value=\"$(echo \"$raw_value\" | sed 's/^[[:space:]]*//;s/[[:space:]]*$//')\"\n      DEPLOY_OPTIONS[$key]=\"$(trim_quotes \"$raw_value\")\"\n    fi\n  done < \"$OPTIONS_FILE\"\n}\n\nprompt_option_value() {\n  local key=\"$1\"\n  local prompt_msg=\"$2\"\n  local default_value=\"${3:-}\"\n  local input_type=\"${4:-text}\"  # Default to text type\n  local input=\"\"\n\n  while true; do\n    read -rp \"${prompt_msg}: \" input\n\n    input=\"$(trim_quotes \"$input\")\"\n\n    # Handle yes/no type inputs\n    if [[ \"$input_type\" == \"boolean\" ]]; then\n      # Convert to uppercase for consistency\n      input=$(echo \"$input\" | tr '[:lower:]' '[:upper:]')\n\n      # Validate input\n      if [[ \"$input\" =~ ^[YN]$ ]]; then\n        DEPLOY_OPTIONS[$key]=\"$input\"\n        update_option_value \"$key\" \"$input\"\n        break\n      elif [ -z \"$input\" ] && [ -n \"$default_value\" ]; then\n        # Use default value if input is empty\n        DEPLOY_OPTIONS[$key]=\"$default_value\"\n        update_option_value \"$key\" \"$default_value\"\n        break\n      fi\n    else\n      # Handle other types of inputs\n      if [ -n \"$input\" ]; then\n        DEPLOY_OPTIONS[$key]=\"$input\"\n        update_option_value \"$key\" \"$input\"\n        break\n      elif [ -z \"$input\" ] && [ -n \"$default_value\" ]; then\n        # Use default value if input is empty\n        DEPLOY_OPTIONS[$key]=\"$default_value\"\n        update_option_value \"$key\" \"$default_value\"\n        break\n      fi\n    fi\n\n    log \"WARN\" \"⚠️  ${key} cannot be empty, please enter a value.\"\n  done\n}\n\nrequire_option() {\n  local key=\"$1\"\n  local prompt_msg=\"${2:-}\"\n  local value=\"${DEPLOY_OPTIONS[$key]:-}\"\n  if [ -z \"$value\" ]; then\n    if [ -n \"$prompt_msg\" ]; then\n      prompt_option_value \"$key\" \"$prompt_msg\"\n    else\n      log \"ERROR\" \"❌ ${key} is missing in deploy.options, add it and rerun.\"\n      exit 1\n    fi\n  fi\n}\n\nget_const_app_version() {\n  require_file \"$CONST_FILE\" \"backend/consts/const.py not found, unable to read the latest version.\"\n  local line\n  line=$(grep -E 'APP_VERSION' \"$CONST_FILE\" | tail -n 1 || true)\n  line=\"${line##*=}\"\n  line=\"$(echo \"$line\" | sed 's/^[[:space:]]*//;s/[[:space:]]*$//')\"\n  trim_quotes \"$line\"\n}\n\ncompare_versions() {\n  local v1=\"${1#v}\"\n  local v2=\"${2#v}\"\n  IFS='.' read -r -a parts1 <<< \"$v1\"\n  IFS='.' read -r -a parts2 <<< \"$v2\"\n  local max_len=\"${#parts1[@]}\"\n  if [ \"${#parts2[@]}\" -gt \"$max_len\" ]; then\n    max_len=\"${#parts2[@]}\"\n  fi\n  for ((i=0; i<max_len; i++)); do\n    local num1=\"${parts1[i]:-0}\"\n    local num2=\"${parts2[i]:-0}\"\n    ((10#$num1 > 10#$num2)) && { echo 1; return; }\n    ((10#$num1 < 10#$num2)) && { echo -1; return; }\n  done\n  echo 0\n}\n\ncollect_upgrade_sqls() {\n  if [ ! -d \"$SQL_DIR\" ]; then\n    log \"WARN\" \"📭 SQL directory not found, skipping database upgrade scripts.\"\n    return\n  fi\n\n  mapfile -t sql_files < <(find \"$SQL_DIR\" -maxdepth 1 -type f -name \"v*.sql\" -print | sort -V || true)\n  if [ \"${#sql_files[@]}\" -eq 0 ]; then\n    return\n  fi\n\n  for file in \"${sql_files[@]}\"; do\n    local base version_prefix\n    base=\"$(basename \"$file\")\"\n    version_prefix=\"${base%%_*}\"\n    [[ -z \"$version_prefix\" ]] && continue\n\n    local cmp_current\n    cmp_current=\"$(compare_versions \"$version_prefix\" \"$CURRENT_APP_VERSION\")\"\n\n    if [ \"$cmp_current\" -eq 1 ]; then\n      UPGRADE_SQL_FILES+=(\"$file\")\n    fi\n  done\n}\n\nbuild_deploy_args() {\n  DEPLOY_ARGS=()\n  local mode=\"${DEPLOY_OPTIONS[MODE_CHOICE]:-}\"\n  local version_choice=\"${DEPLOY_OPTIONS[VERSION_CHOICE]:-}\"\n  local is_mainland=\"${DEPLOY_OPTIONS[IS_MAINLAND]:-}\"\n  local enable_terminal=\"${DEPLOY_OPTIONS[ENABLE_TERMINAL]:-}\"\n  local root_dir=\"${DEPLOY_OPTIONS[ROOT_DIR]:-}\"\n\n  [[ -n \"$mode\" ]] && DEPLOY_ARGS+=(--mode \"$mode\")\n  [[ -n \"$version_choice\" ]] && DEPLOY_ARGS+=(--version \"$version_choice\")\n  [[ -n \"$is_mainland\" ]] && DEPLOY_ARGS+=(--is-mainland \"$is_mainland\")\n  [[ -n \"$enable_terminal\" ]] && DEPLOY_ARGS+=(--enable-terminal \"$enable_terminal\")\n  [[ -n \"$root_dir\" ]] && DEPLOY_ARGS+=(--root-dir \"$root_dir\")\n}\n\nensure_docker() {\n  if ! command -v docker >/dev/null 2>&1; then\n    log \"ERROR\" \"🛑 Docker CLI not detected, install Docker before continuing.\"\n    exit 1\n  fi\n}\n\nensure_postgres_env() {\n  require_file \"$ENV_FILE\" \"📁 docker/.env not found; unable to load database credentials.\"\n  set -a\n  source \"$ENV_FILE\"\n  set +a\n  : \"${POSTGRES_USER:?docker/.env is missing POSTGRES_USER}\"\n  : \"${POSTGRES_DB:?docker/.env is missing POSTGRES_DB}\"\n}\n\nrun_deploy() {\n  # Stop and remove any existing containers before redeployment\n  docker compose -p nexent down -v\n  log \"INFO\" \"🚀 Starting deploy...\"\n  (cd \"$SCRIPT_DIR\" && cp .env.example .env && bash \"$DEPLOY_SCRIPT\" \"${DEPLOY_ARGS[@]}\")\n\n}\n\nrun_sql_scripts() {\n  if [ \"${#UPGRADE_SQL_FILES[@]}\" -eq 0 ]; then\n    log \"INFO\" \"📭 No database upgrade scripts detected, skipping this step.\"\n    return\n  fi\n\n  ensure_postgres_env\n\n  for sql_file in \"${UPGRADE_SQL_FILES[@]}\"; do\n    log \"INFO\" \"🗃️  Running database upgrade script $(basename \"$sql_file\") ...\"\n    if ! docker exec -i nexent-postgresql psql -U \"$POSTGRES_USER\" -d \"$POSTGRES_DB\" -v ON_ERROR_STOP=1 < \"$sql_file\"; then\n      log \"ERROR\" \"❌ Failed to execute $(basename \"$sql_file\"), please verify the script.\"\n      exit 1\n    fi\n  done\n}\n\nupdate_option_value() {\n  local key=\"$1\"\n  local value=\"$2\"\n  touch \"$OPTIONS_FILE\"\n  if grep -q \"^${key}[[:space:]]*=\" \"$OPTIONS_FILE\"; then\n    sed -i.bak -E \"s|^(${key}[[:space:]]*=[[:space:]]*)\\\"?[^\\\"]*\\\"?|\\1\\\"${value}\\\"|\" \"$OPTIONS_FILE\"\n  else\n    echo \"${key} = \\\"${value}\\\"\" >> \"$OPTIONS_FILE\"\n  fi\n}\n\n# Check if the upgrade version span includes v1.8.0\n# Returns 0 (success) if span includes v1.8.0, 1 otherwise\ncheck_version_spans_v180() {\n  local cmp_with_v180\n  local cmp_current\n\n  # Check if current version is less than v1.8.0\n  cmp_current=\"$(compare_versions \"$CURRENT_APP_VERSION\" \"$V180_VERSION\")\"\n  if [ \"$cmp_current\" -ge 0 ]; then\n    # Current version is >= v1.8.0, no need to run v180 sync\n    return 1\n  fi\n\n  # Check if target version is >= v1.8.0\n  cmp_with_v180=\"$(compare_versions \"$NEW_APP_VERSION\" \"$V180_VERSION\")\"\n  if [ \"$cmp_with_v180\" -lt 0 ]; then\n    # Target version is < v1.8.0, no need to run v180 sync\n    return 1\n  fi\n\n  # Version span includes v1.8.0\n  return 0\n}\n\n# Execute the v1.8.0 user metadata sync script\nrun_v180_sync_script() {\n  if [ ! -f \"$V180_SCRIPT\" ]; then\n    log \"WARN\" \"⚠️  v180_sync_user_metadata.sh not found, skipping v1.8.0 metadata sync.\"\n    return\n  fi\n\n  log \"INFO\" \"🗄️  Detected version span includes v1.8.0, executing user metadata sync script...\"\n\n  if ! bash \"$V180_SCRIPT\"; then\n    log \"ERROR\" \"❌ Failed to execute v180_sync_user_metadata.sh, please verify the script.\"\n    exit 1\n  fi\n\n  log \"INFO\" \"✅ v1.8.0 user metadata sync completed successfully.\"\n}\n\n\nprompt_deploy_options() {\n  # Only prompt for options that already exist in DEPLOY_OPTIONS\n  if [[ -n \"${DEPLOY_OPTIONS[VERSION_CHOICE]:-}\" ]]; then\n    echo \"🚀 Please select deployment version:\"\n    echo \"   1) ⚡️  Speed version - Lightweight deployment with essential features\"\n    echo \"   2) 🎯  Full version - Full-featured deployment with all capabilities\"\n    prompt_option_value \"VERSION_CHOICE\" \"Enter your choice [1/2] (default: ${DEPLOY_OPTIONS[VERSION_CHOICE]:-1})\" \"${DEPLOY_OPTIONS[VERSION_CHOICE]:-1}\" \"text\"\n  fi\n  if [[ -n \"${DEPLOY_OPTIONS[MODE_CHOICE]:-}\" ]]; then\n    echo \"🎛️  Please select deployment mode:\"\n    echo \"   1) 🛠️  Development mode - Expose all service ports for debugging\"\n    echo \"   2) 🏗️  Infrastructure mode - Only start infrastructure services\"\n    echo \"   3) 🚀 Production mode - Only expose port 3000 for security\"\n    prompt_option_value \"MODE_CHOICE\" \"Enter your choice [1/2/3] (default: ${DEPLOY_OPTIONS[MODE_CHOICE]:-1})\" \"${DEPLOY_OPTIONS[MODE_CHOICE]:-1}\" \"text\"\n  fi\n  if [[ -n \"${DEPLOY_OPTIONS[ENABLE_TERMINAL]:-}\" ]]; then\n    prompt_option_value \"ENABLE_TERMINAL\" \"Do you want to create Terminal tool container? [Y/N] (default: ${DEPLOY_OPTIONS[ENABLE_TERMINAL]:-N})\" \"${DEPLOY_OPTIONS[ENABLE_TERMINAL]:-N}\" \"boolean\"\n  fi\n  if [[ -n \"${DEPLOY_OPTIONS[IS_MAINLAND]:-}\" ]]; then\n    prompt_option_value \"IS_MAINLAND\" \"Is your server network located in mainland China? [Y/N] (default: ${DEPLOY_OPTIONS[IS_MAINLAND]:-N})\" \"${DEPLOY_OPTIONS[IS_MAINLAND]:-N}\" \"boolean\"\n  fi\n}\n\n# Get friendly description for option keys\n_get_option_description() {\n  local key=\"$1\"\n  case \"$key\" in\n    \"MODE_CHOICE\") echo \"Deployment Mode\" ;;\n    \"VERSION_CHOICE\") echo \"Deployment Version\" ;;\n    \"IS_MAINLAND\") echo \"Mainland China Network\" ;;\n    \"ENABLE_TERMINAL\") echo \"Terminal Tool Container\" ;;\n    \"APP_VERSION\") echo \"Application Version\" ;;\n    \"ROOT_DIR\") echo \"Root Directory\" ;;\n    *) echo \"$key\" ;;\n  esac\n}\n\n# Get friendly value for option values\n_get_option_value_description() {\n  local key=\"$1\"\n  local value=\"$2\"\n\n  case \"$key\" in\n    \"MODE_CHOICE\")\n      case \"$value\" in\n        \"1\") echo \"1 - Development Mode\" ;;\n        \"2\") echo \"2 - Infrastructure Mode\" ;;\n        \"3\") echo \"3 - Production Mode\" ;;\n        *) echo \"$value\" ;;\n      esac\n      ;;\n    \"VERSION_CHOICE\")\n      case \"$value\" in\n        \"1\") echo \"1 - Speed Version\" ;;\n        \"2\") echo \"2 - Full Version\" ;;\n        *) echo \"$value\" ;;\n      esac\n      ;;\n    *) echo \"$value\" ;;\n  esac\n}\n\nmain() {\n  ensure_docker\n  load_options\n\n  # Ensure required options are present\n  require_option \"APP_VERSION\" \"APP_VERSION not detected, please enter the current deployed version\"\n  require_option \"ROOT_DIR\" \"ROOT_DIR not detected, please enter the absolute deployment directory path\"\n  CURRENT_APP_VERSION=\"${DEPLOY_OPTIONS[APP_VERSION]:-}\"\n\n  NEW_APP_VERSION=\"$(get_const_app_version)\"\n  if [ -z \"$NEW_APP_VERSION\" ]; then\n    log \"ERROR\" \"❌ Unable to parse APP_VERSION from const.py, please verify the file.\"\n    exit 1\n  fi\n\n  log \"INFO\" \"📦 Current version: $CURRENT_APP_VERSION\"\n  log \"INFO\" \"🎯 Target version: $NEW_APP_VERSION\"\n\n  local cmp_result\n  cmp_result=\"$(compare_versions \"$NEW_APP_VERSION\" \"$CURRENT_APP_VERSION\")\"\n  if [ \"$cmp_result\" -le 0 ]; then\n    log \"INFO\" \"🚫 Target version ($NEW_APP_VERSION) is not higher than current version ($CURRENT_APP_VERSION), upgrade aborted.\"\n    exit 1\n  fi\n\n  # Ask user if they want to inherit previous deployment options\n  if [ -f \"$OPTIONS_FILE\" ] && [ -s \"$OPTIONS_FILE\" ]; then\n    # Calculate maximum width of option descriptions for better alignment\n    max_desc_width=0\n    for key in \"${!DEPLOY_OPTIONS[@]}\"; do\n      desc=$(_get_option_description \"$key\")\n      desc_length=${#desc}\n      if (( desc_length > max_desc_width )); then\n        max_desc_width=$desc_length\n      fi\n    done\n\n    # Ensure minimum width for better readability\n    if (( max_desc_width < 20 )); then\n      max_desc_width=20\n    fi\n\n    # Display current deployment options in a readable format\n    log \"INFO\" \"📋 Current deployment options:\"\n    echo \"\"\n    for key in \"${!DEPLOY_OPTIONS[@]}\"; do\n      value=\"${DEPLOY_OPTIONS[$key]}\"\n      desc=$(_get_option_description \"$key\")\n      value_desc=$(_get_option_value_description \"$key\" \"$value\")\n      printf \"   • %-${max_desc_width}s : %s\\n\" \"$desc\" \"$value_desc\"\n    done\n    echo \"\"\n\n    read -rp \"🔄 Do you want to inherit previous deployment options? [Y/N] (default: Y): \" inherit_choice\n    inherit_choice=\"${inherit_choice:-Y}\"\n    inherit_choice=\"$(trim_quotes \"$inherit_choice\")\"\n    if [[ \"$inherit_choice\" =~ ^[Nn]$ ]]; then\n      log \"INFO\" \"📝 Starting configuration...\"\n      # Prompt for deployment options with existing values as defaults\n      prompt_deploy_options\n    fi\n  fi\n\n  build_deploy_args\n  run_deploy\n\n  # Check if version span includes v1.8.0 and run sync script if needed\n  if check_version_spans_v180; then\n    run_v180_sync_script\n  fi\n\n  collect_upgrade_sqls\n  run_sql_scripts\n\n  log \"INFO\" \"🎉 Upgrade to ${NEW_APP_VERSION} completed, please verify service health.\"\n}\n\nmain \"$@\"\n\n"
  },
  {
    "path": "docker/volumes/api/kong.yml",
    "content": "_format_version: '2.1'\n_transform: true\n\n###\n### Consumers / Users\n###\nconsumers:\n  - username: DASHBOARD\n  - username: anon\n    keyauth_credentials:\n      - key: $SUPABASE_ANON_KEY\n  - username: service_role\n    keyauth_credentials:\n      - key: $SUPABASE_SERVICE_KEY\n\n###\n### Access Control List\n###\nacls:\n  - consumer: anon\n    group: anon\n  - consumer: service_role\n    group: admin\n\n###\n### Dashboard credentials\n###\nbasicauth_credentials:\n  - consumer: DASHBOARD\n    username: $DASHBOARD_USERNAME\n    password: $DASHBOARD_PASSWORD\n\n###\n### API Routes\n###\nservices:\n  ## Open Auth routes\n  - name: auth-v1-open\n    url: http://auth:9999/verify\n    routes:\n      - name: auth-v1-open\n        strip_path: true\n        paths:\n          - /auth/v1/verify\n    plugins:\n      - name: cors\n  - name: auth-v1-open-callback\n    url: http://auth:9999/callback\n    routes:\n      - name: auth-v1-open-callback\n        strip_path: true\n        paths:\n          - /auth/v1/callback\n    plugins:\n      - name: cors\n  - name: auth-v1-open-authorize\n    url: http://auth:9999/authorize\n    routes:\n      - name: auth-v1-open-authorize\n        strip_path: true\n        paths:\n          - /auth/v1/authorize\n    plugins:\n      - name: cors\n\n  ## Secure Auth routes\n  - name: auth-v1\n    _comment: 'GoTrue: /auth/v1/* -> http://auth:9999/*'\n    url: http://auth:9999/\n    routes:\n      - name: auth-v1-all\n        strip_path: true\n        paths:\n          - /auth/v1/\n    plugins:\n      - name: cors\n      - name: key-auth\n        config:\n          hide_credentials: false\n      - name: acl\n        config:\n          hide_groups_header: true\n          allow:\n            - admin\n            - anon\n\n  ## Secure REST routes\n  - name: rest-v1\n    _comment: 'PostgREST: /rest/v1/* -> http://rest:3000/*'\n    url: http://rest:3000/\n    routes:\n      - name: rest-v1-all\n        strip_path: true\n        paths:\n          - /rest/v1/\n    plugins:\n      - name: cors\n      - name: key-auth\n        config:\n          hide_credentials: true\n      - name: acl\n        config:\n          hide_groups_header: true\n          allow:\n            - admin\n            - anon\n\n  ## Secure GraphQL routes\n  - name: graphql-v1\n    _comment: 'PostgREST: /graphql/v1/* -> http://rest:3000/rpc/graphql'\n    url: http://rest:3000/rpc/graphql\n    routes:\n      - name: graphql-v1-all\n        strip_path: true\n        paths:\n          - /graphql/v1\n    plugins:\n      - name: cors\n      - name: key-auth\n        config:\n          hide_credentials: true\n      - name: request-transformer\n        config:\n          add:\n            headers:\n              - Content-Profile:graphql_public\n      - name: acl\n        config:\n          hide_groups_header: true\n          allow:\n            - admin\n            - anon\n\n  ## Secure Realtime routes\n  - name: realtime-v1-ws\n    _comment: 'Realtime: /realtime/v1/* -> ws://realtime:4000/socket/*'\n    url: http://realtime-dev.supabase-realtime:4000/socket\n    protocol: ws\n    routes:\n      - name: realtime-v1-ws\n        strip_path: true\n        paths:\n          - /realtime/v1/\n    plugins:\n      - name: cors\n      - name: key-auth\n        config:\n          hide_credentials: false\n      - name: acl\n        config:\n          hide_groups_header: true\n          allow:\n            - admin\n            - anon\n  - name: realtime-v1-rest\n    _comment: 'Realtime: /realtime/v1/* -> ws://realtime:4000/socket/*'\n    url: http://realtime-dev.supabase-realtime:4000/api\n    protocol: http\n    routes:\n      - name: realtime-v1-rest\n        strip_path: true\n        paths:\n          - /realtime/v1/api\n    plugins:\n      - name: cors\n      - name: key-auth\n        config:\n          hide_credentials: false\n      - name: acl\n        config:\n          hide_groups_header: true\n          allow:\n            - admin\n            - anon\n  ## Storage routes: the storage server manages its own auth\n  - name: storage-v1\n    _comment: 'Storage: /storage/v1/* -> http://storage:5000/*'\n    url: http://storage:5000/\n    routes:\n      - name: storage-v1-all\n        strip_path: true\n        paths:\n          - /storage/v1/\n    plugins:\n      - name: cors\n\n  ## Edge Functions routes\n  - name: functions-v1\n    _comment: 'Edge Functions: /functions/v1/* -> http://functions:9000/*'\n    url: http://functions:9000/\n    routes:\n      - name: functions-v1-all\n        strip_path: true\n        paths:\n          - /functions/v1/\n    plugins:\n      - name: cors\n\n  ## Analytics routes\n  - name: analytics-v1\n    _comment: 'Analytics: /analytics/v1/* -> http://logflare:4000/*'\n    url: http://analytics:4000/\n    routes:\n      - name: analytics-v1-all\n        strip_path: true\n        paths:\n          - /analytics/v1/\n\n  ## Secure Database routes\n  - name: meta\n    _comment: 'pg-meta: /pg/* -> http://pg-meta:8080/*'\n    url: http://meta:8080/\n    routes:\n      - name: meta-all\n        strip_path: true\n        paths:\n          - /pg/\n    plugins:\n      - name: key-auth\n        config:\n          hide_credentials: false\n      - name: acl\n        config:\n          hide_groups_header: true\n          allow:\n            - admin\n\n  ## Protected Dashboard - catch all remaining routes\n  - name: dashboard\n    _comment: 'Studio: /* -> http://studio:3000/*'\n    url: http://studio:3000/\n    routes:\n      - name: dashboard-all\n        strip_path: true\n        paths:\n          - /\n    plugins:\n      - name: cors\n      - name: basic-auth\n        config:\n          hide_credentials: true"
  },
  {
    "path": "docker/volumes/db/_supabase.sql",
    "content": "\\set pguser `echo \"$POSTGRES_USER\"`\n\nCREATE DATABASE _supabase WITH OWNER :pguser;"
  },
  {
    "path": "docker/volumes/db/init/data.sql",
    "content": ""
  },
  {
    "path": "docker/volumes/db/jwt.sql",
    "content": "\\set jwt_secret `echo \"$JWT_SECRET\"`\n\\set jwt_exp `echo \"$JWT_EXP\"`\n\nALTER DATABASE postgres SET \"app.settings.jwt_secret\" TO :'jwt_secret';\nALTER DATABASE postgres SET \"app.settings.jwt_exp\" TO :'jwt_exp';"
  },
  {
    "path": "docker/volumes/db/logs.sql",
    "content": "\\set pguser `echo \"$POSTGRES_USER\"`\n\n\\c _supabase\ncreate schema if not exists _analytics;\nalter schema _analytics owner to :pguser;\n\\c postgres\n"
  },
  {
    "path": "docker/volumes/db/pooler.sql",
    "content": "\\set pguser `echo \"$POSTGRES_USER\"`\n\n\\c _supabase\ncreate schema if not exists _supavisor;\nalter schema _supavisor owner to :pguser;\n\\c postgres\n"
  },
  {
    "path": "docker/volumes/db/realtime.sql",
    "content": "\\set pguser `echo \"$POSTGRES_USER\"`\n\ncreate schema if not exists _realtime;\nalter schema _realtime owner to :pguser;"
  },
  {
    "path": "docker/volumes/db/roles.sql",
    "content": "-- NOTE: change to your own passwords for production environments\n\\set pgpass `echo \"$POSTGRES_PASSWORD\"`\n\nALTER USER authenticator WITH PASSWORD :'pgpass';\nALTER USER pgbouncer WITH PASSWORD :'pgpass';\nALTER USER supabase_auth_admin WITH PASSWORD :'pgpass';\nALTER USER supabase_functions_admin WITH PASSWORD :'pgpass';\nALTER USER supabase_storage_admin WITH PASSWORD :'pgpass';"
  },
  {
    "path": "docker/volumes/db/webhooks.sql",
    "content": "BEGIN;\n  -- Create pg_net extension\n  CREATE EXTENSION IF NOT EXISTS pg_net SCHEMA extensions;\n  -- Create supabase_functions schema\n  CREATE SCHEMA supabase_functions AUTHORIZATION supabase_admin;\n  GRANT USAGE ON SCHEMA supabase_functions TO postgres, anon, authenticated, service_role;\n  ALTER DEFAULT PRIVILEGES IN SCHEMA supabase_functions GRANT ALL ON TABLES TO postgres, anon, authenticated, service_role;\n  ALTER DEFAULT PRIVILEGES IN SCHEMA supabase_functions GRANT ALL ON FUNCTIONS TO postgres, anon, authenticated, service_role;\n  ALTER DEFAULT PRIVILEGES IN SCHEMA supabase_functions GRANT ALL ON SEQUENCES TO postgres, anon, authenticated, service_role;\n  -- supabase_functions.migrations definition\n  CREATE TABLE supabase_functions.migrations (\n    version text PRIMARY KEY,\n    inserted_at timestamptz NOT NULL DEFAULT NOW()\n  );\n  -- Initial supabase_functions migration\n  INSERT INTO supabase_functions.migrations (version) VALUES ('initial');\n  -- supabase_functions.hooks definition\n  CREATE TABLE supabase_functions.hooks (\n    id bigserial PRIMARY KEY,\n    hook_table_id integer NOT NULL,\n    hook_name text NOT NULL,\n    created_at timestamptz NOT NULL DEFAULT NOW(),\n    request_id bigint\n  );\n  CREATE INDEX supabase_functions_hooks_request_id_idx ON supabase_functions.hooks USING btree (request_id);\n  CREATE INDEX supabase_functions_hooks_h_table_id_h_name_idx ON supabase_functions.hooks USING btree (hook_table_id, hook_name);\n  COMMENT ON TABLE supabase_functions.hooks IS 'Supabase Functions Hooks: Audit trail for triggered hooks.';\n  CREATE FUNCTION supabase_functions.http_request()\n    RETURNS trigger\n    LANGUAGE plpgsql\n    AS $function$\n    DECLARE\n      request_id bigint;\n      payload jsonb;\n      url text := TG_ARGV[0]::text;\n      method text := TG_ARGV[1]::text;\n      headers jsonb DEFAULT '{}'::jsonb;\n      params jsonb DEFAULT '{}'::jsonb;\n      timeout_ms integer DEFAULT 1000;\n    BEGIN\n      IF url IS NULL OR url = 'null' THEN\n        RAISE EXCEPTION 'url argument is missing';\n      END IF;\n\n      IF method IS NULL OR method = 'null' THEN\n        RAISE EXCEPTION 'method argument is missing';\n      END IF;\n\n      IF TG_ARGV[2] IS NULL OR TG_ARGV[2] = 'null' THEN\n        headers = '{\"Content-Type\": \"application/json\"}'::jsonb;\n      ELSE\n        headers = TG_ARGV[2]::jsonb;\n      END IF;\n\n      IF TG_ARGV[3] IS NULL OR TG_ARGV[3] = 'null' THEN\n        params = '{}'::jsonb;\n      ELSE\n        params = TG_ARGV[3]::jsonb;\n      END IF;\n\n      IF TG_ARGV[4] IS NULL OR TG_ARGV[4] = 'null' THEN\n        timeout_ms = 1000;\n      ELSE\n        timeout_ms = TG_ARGV[4]::integer;\n      END IF;\n\n      CASE\n        WHEN method = 'GET' THEN\n          SELECT http_get INTO request_id FROM net.http_get(\n            url,\n            params,\n            headers,\n            timeout_ms\n          );\n        WHEN method = 'POST' THEN\n          payload = jsonb_build_object(\n            'old_record', OLD,\n            'record', NEW,\n            'type', TG_OP,\n            'table', TG_TABLE_NAME,\n            'schema', TG_TABLE_SCHEMA\n          );\n\n          SELECT http_post INTO request_id FROM net.http_post(\n            url,\n            payload,\n            params,\n            headers,\n            timeout_ms\n          );\n        ELSE\n          RAISE EXCEPTION 'method argument % is invalid', method;\n      END CASE;\n\n      INSERT INTO supabase_functions.hooks\n        (hook_table_id, hook_name, request_id)\n      VALUES\n        (TG_RELID, TG_NAME, request_id);\n\n      RETURN NEW;\n    END\n  $function$;\n  -- Supabase super admin\n  DO\n  $$\n  BEGIN\n    IF NOT EXISTS (\n      SELECT 1\n      FROM pg_roles\n      WHERE rolname = 'supabase_functions_admin'\n    )\n    THEN\n      CREATE USER supabase_functions_admin NOINHERIT CREATEROLE LOGIN NOREPLICATION;\n    END IF;\n  END\n  $$;\n  GRANT ALL PRIVILEGES ON SCHEMA supabase_functions TO supabase_functions_admin;\n  GRANT ALL PRIVILEGES ON ALL TABLES IN SCHEMA supabase_functions TO supabase_functions_admin;\n  GRANT ALL PRIVILEGES ON ALL SEQUENCES IN SCHEMA supabase_functions TO supabase_functions_admin;\n  ALTER USER supabase_functions_admin SET search_path = \"supabase_functions\";\n  ALTER table \"supabase_functions\".migrations OWNER TO supabase_functions_admin;\n  ALTER table \"supabase_functions\".hooks OWNER TO supabase_functions_admin;\n  ALTER function \"supabase_functions\".http_request() OWNER TO supabase_functions_admin;\n  GRANT supabase_functions_admin TO postgres;\n  -- Remove unused supabase_pg_net_admin role\n  DO\n  $$\n  BEGIN\n    IF EXISTS (\n      SELECT 1\n      FROM pg_roles\n      WHERE rolname = 'supabase_pg_net_admin'\n    )\n    THEN\n      REASSIGN OWNED BY supabase_pg_net_admin TO supabase_admin;\n      DROP OWNED BY supabase_pg_net_admin;\n      DROP ROLE supabase_pg_net_admin;\n    END IF;\n  END\n  $$;\n  -- pg_net grants when extension is already enabled\n  DO\n  $$\n  BEGIN\n    IF EXISTS (\n      SELECT 1\n      FROM pg_extension\n      WHERE extname = 'pg_net'\n    )\n    THEN\n      GRANT USAGE ON SCHEMA net TO supabase_functions_admin, postgres, anon, authenticated, service_role;\n      ALTER function net.http_get(url text, params jsonb, headers jsonb, timeout_milliseconds integer) SECURITY DEFINER;\n      ALTER function net.http_post(url text, body jsonb, params jsonb, headers jsonb, timeout_milliseconds integer) SECURITY DEFINER;\n      ALTER function net.http_get(url text, params jsonb, headers jsonb, timeout_milliseconds integer) SET search_path = net;\n      ALTER function net.http_post(url text, body jsonb, params jsonb, headers jsonb, timeout_milliseconds integer) SET search_path = net;\n      REVOKE ALL ON FUNCTION net.http_get(url text, params jsonb, headers jsonb, timeout_milliseconds integer) FROM PUBLIC;\n      REVOKE ALL ON FUNCTION net.http_post(url text, body jsonb, params jsonb, headers jsonb, timeout_milliseconds integer) FROM PUBLIC;\n      GRANT EXECUTE ON FUNCTION net.http_get(url text, params jsonb, headers jsonb, timeout_milliseconds integer) TO supabase_functions_admin, postgres, anon, authenticated, service_role;\n      GRANT EXECUTE ON FUNCTION net.http_post(url text, body jsonb, params jsonb, headers jsonb, timeout_milliseconds integer) TO supabase_functions_admin, postgres, anon, authenticated, service_role;\n    END IF;\n  END\n  $$;\n  -- Event trigger for pg_net\n  CREATE OR REPLACE FUNCTION extensions.grant_pg_net_access()\n  RETURNS event_trigger\n  LANGUAGE plpgsql\n  AS $$\n  BEGIN\n    IF EXISTS (\n      SELECT 1\n      FROM pg_event_trigger_ddl_commands() AS ev\n      JOIN pg_extension AS ext\n      ON ev.objid = ext.oid\n      WHERE ext.extname = 'pg_net'\n    )\n    THEN\n      GRANT USAGE ON SCHEMA net TO supabase_functions_admin, postgres, anon, authenticated, service_role;\n      ALTER function net.http_get(url text, params jsonb, headers jsonb, timeout_milliseconds integer) SECURITY DEFINER;\n      ALTER function net.http_post(url text, body jsonb, params jsonb, headers jsonb, timeout_milliseconds integer) SECURITY DEFINER;\n      ALTER function net.http_get(url text, params jsonb, headers jsonb, timeout_milliseconds integer) SET search_path = net;\n      ALTER function net.http_post(url text, body jsonb, params jsonb, headers jsonb, timeout_milliseconds integer) SET search_path = net;\n      REVOKE ALL ON FUNCTION net.http_get(url text, params jsonb, headers jsonb, timeout_milliseconds integer) FROM PUBLIC;\n      REVOKE ALL ON FUNCTION net.http_post(url text, body jsonb, params jsonb, headers jsonb, timeout_milliseconds integer) FROM PUBLIC;\n      GRANT EXECUTE ON FUNCTION net.http_get(url text, params jsonb, headers jsonb, timeout_milliseconds integer) TO supabase_functions_admin, postgres, anon, authenticated, service_role;\n      GRANT EXECUTE ON FUNCTION net.http_post(url text, body jsonb, params jsonb, headers jsonb, timeout_milliseconds integer) TO supabase_functions_admin, postgres, anon, authenticated, service_role;\n    END IF;\n  END;\n  $$;\n  COMMENT ON FUNCTION extensions.grant_pg_net_access IS 'Grants access to pg_net';\n  DO\n  $$\n  BEGIN\n    IF NOT EXISTS (\n      SELECT 1\n      FROM pg_event_trigger\n      WHERE evtname = 'issue_pg_net_access'\n    ) THEN\n      CREATE EVENT TRIGGER issue_pg_net_access ON ddl_command_end WHEN TAG IN ('CREATE EXTENSION')\n      EXECUTE PROCEDURE extensions.grant_pg_net_access();\n    END IF;\n  END\n  $$;\n  INSERT INTO supabase_functions.migrations (version) VALUES ('20210809183423_update_grants');\n  ALTER function supabase_functions.http_request() SECURITY DEFINER;\n  ALTER function supabase_functions.http_request() SET search_path = supabase_functions;\n  REVOKE ALL ON FUNCTION supabase_functions.http_request() FROM PUBLIC;\n  GRANT EXECUTE ON FUNCTION supabase_functions.http_request() TO postgres, anon, authenticated, service_role;\nCOMMIT;"
  },
  {
    "path": "docker/volumes/functions/hello/index.ts",
    "content": "// Follow this setup guide to integrate the Deno language server with your editor:\n// https://deno.land/manual/getting_started/setup_your_environment\n// This enables autocomplete, go to definition, etc.\n\nimport { serve } from \"https://deno.land/std@0.177.1/http/server.ts\"\n\nserve(async () => {\n  return new Response(\n    `\"Hello from Edge Functions!\"`,\n    { headers: { \"Content-Type\": \"application/json\" } },\n  )\n})\n\n// To invoke:\n// curl 'http://localhost:<KONG_HTTP_PORT>/functions/v1/hello' \\\n//   --header 'Authorization: Bearer <anon/service_role API key>'\n"
  },
  {
    "path": "docker/volumes/functions/main/index.ts",
    "content": "import { serve } from 'https://deno.land/std@0.131.0/http/server.ts'\nimport * as jose from 'https://deno.land/x/jose@v4.14.4/index.ts'\n\nconsole.log('main function started')\n\nconst JWT_SECRET = Deno.env.get('JWT_SECRET')\nconst VERIFY_JWT = Deno.env.get('VERIFY_JWT') === 'true'\n\nfunction getAuthToken(req: Request) {\n  const authHeader = req.headers.get('authorization')\n  if (!authHeader) {\n    throw new Error('Missing authorization header')\n  }\n  const [bearer, token] = authHeader.split(' ')\n  if (bearer !== 'Bearer') {\n    throw new Error(`Auth header is not 'Bearer {token}'`)\n  }\n  return token\n}\n\nasync function verifyJWT(jwt: string): Promise<boolean> {\n  const encoder = new TextEncoder()\n  const secretKey = encoder.encode(JWT_SECRET)\n  try {\n    await jose.jwtVerify(jwt, secretKey)\n  } catch (err) {\n    console.error(err)\n    return false\n  }\n  return true\n}\n\nserve(async (req: Request) => {\n  if (req.method !== 'OPTIONS' && VERIFY_JWT) {\n    try {\n      const token = getAuthToken(req)\n      const isValidJWT = await verifyJWT(token)\n\n      if (!isValidJWT) {\n        return new Response(JSON.stringify({ msg: 'Invalid JWT' }), {\n          status: 401,\n          headers: { 'Content-Type': 'application/json' },\n        })\n      }\n    } catch (e) {\n      console.error(e)\n      return new Response(JSON.stringify({ msg: e.toString() }), {\n        status: 401,\n        headers: { 'Content-Type': 'application/json' },\n      })\n    }\n  }\n\n  const url = new URL(req.url)\n  const { pathname } = url\n  const path_parts = pathname.split('/')\n  const service_name = path_parts[1]\n\n  if (!service_name || service_name === '') {\n    const error = { msg: 'missing function name in request' }\n    return new Response(JSON.stringify(error), {\n      status: 400,\n      headers: { 'Content-Type': 'application/json' },\n    })\n  }\n\n  const servicePath = `/home/deno/functions/${service_name}`\n  console.error(`serving the request with ${servicePath}`)\n\n  const memoryLimitMb = 150\n  const workerTimeoutMs = 1 * 60 * 1000\n  const noModuleCache = false\n  const importMapPath = null\n  const envVarsObj = Deno.env.toObject()\n  const envVars = Object.keys(envVarsObj).map((k) => [k, envVarsObj[k]])\n\n  try {\n    const worker = await EdgeRuntime.userWorkers.create({\n      servicePath,\n      memoryLimitMb,\n      workerTimeoutMs,\n      noModuleCache,\n      importMapPath,\n      envVars,\n    })\n    return await worker.fetch(req)\n  } catch (e) {\n    const error = { msg: e.toString() }\n    return new Response(JSON.stringify(error), {\n      status: 500,\n      headers: { 'Content-Type': 'application/json' },\n    })\n  }\n})\n"
  },
  {
    "path": "docker/volumes/logs/vector.yml",
    "content": "api:\n  enabled: true\n  address: 0.0.0.0:9001\n\nsources:\n  docker_host:\n    type: docker_logs\n    exclude_containers:\n      - supabase-vector\n\ntransforms:\n  project_logs:\n    type: remap\n    inputs:\n      - docker_host\n    source: |-\n      .project = \"default\"\n      .event_message = del(.message)\n      .appname = del(.container_name)\n      del(.container_created_at)\n      del(.container_id)\n      del(.source_type)\n      del(.stream)\n      del(.label)\n      del(.image)\n      del(.host)\n      del(.stream)\n  router:\n    type: route\n    inputs:\n      - project_logs\n    route:\n      kong: '.appname == \"supabase-kong\"'\n      auth: '.appname == \"supabase-auth\"'\n      rest: '.appname == \"supabase-rest\"'\n      realtime: '.appname == \"supabase-realtime\"'\n      storage: '.appname == \"supabase-storage\"'\n      functions: '.appname == \"supabase-functions\"'\n      db: '.appname == \"supabase-db\"'\n  # Ignores non nginx errors since they are related with kong booting up\n  kong_logs:\n    type: remap\n    inputs:\n      - router.kong\n    source: |-\n      req, err = parse_nginx_log(.event_message, \"combined\")\n      if err == null {\n          .timestamp = req.timestamp\n          .metadata.request.headers.referer = req.referer\n          .metadata.request.headers.user_agent = req.agent\n          .metadata.request.headers.cf_connecting_ip = req.client\n          .metadata.request.method = req.method\n          .metadata.request.path = req.path\n          .metadata.request.protocol = req.protocol\n          .metadata.response.status_code = req.status\n      }\n      if err != null {\n        abort\n      }\n  # Ignores non nginx errors since they are related with kong booting up\n  kong_err:\n    type: remap\n    inputs:\n      - router.kong\n    source: |-\n      .metadata.request.method = \"GET\"\n      .metadata.response.status_code = 200\n      parsed, err = parse_nginx_log(.event_message, \"error\")\n      if err == null {\n          .timestamp = parsed.timestamp\n          .severity = parsed.severity\n          .metadata.request.host = parsed.host\n          .metadata.request.headers.cf_connecting_ip = parsed.client\n          url, err = split(parsed.request, \" \")\n          if err == null {\n              .metadata.request.method = url[0]\n              .metadata.request.path = url[1]\n              .metadata.request.protocol = url[2]\n          }\n      }\n      if err != null {\n        abort\n      }\n  # Gotrue logs are structured json strings which frontend parses directly. But we keep metadata for consistency.\n  auth_logs:\n    type: remap\n    inputs:\n      - router.auth\n    source: |-\n      parsed, err = parse_json(.event_message)\n      if err == null {\n          .metadata.timestamp = parsed.time\n          .metadata = merge!(.metadata, parsed)\n      }\n  # PostgREST logs are structured so we separate timestamp from message using regex\n  rest_logs:\n    type: remap\n    inputs:\n      - router.rest\n    source: |-\n      parsed, err = parse_regex(.event_message, r'^(?P<time>.*): (?P<msg>.*)$')\n      if err == null {\n          .event_message = parsed.msg\n          .timestamp = to_timestamp!(parsed.time)\n          .metadata.host = .project\n      }\n  # Realtime logs are structured so we parse the severity level using regex (ignore time because it has no date)\n  realtime_logs:\n    type: remap\n    inputs:\n      - router.realtime\n    source: |-\n      .metadata.project = del(.project)\n      .metadata.external_id = .metadata.project\n      parsed, err = parse_regex(.event_message, r'^(?P<time>\\d+:\\d+:\\d+\\.\\d+) \\[(?P<level>\\w+)\\] (?P<msg>.*)$')\n      if err == null {\n          .event_message = parsed.msg\n          .metadata.level = parsed.level\n      }\n  # Storage logs may contain json objects so we parse them for completeness\n  storage_logs:\n    type: remap\n    inputs:\n      - router.storage\n    source: |-\n      .metadata.project = del(.project)\n      .metadata.tenantId = .metadata.project\n      parsed, err = parse_json(.event_message)\n      if err == null {\n          .event_message = parsed.msg\n          .metadata.level = parsed.level\n          .metadata.timestamp = parsed.time\n          .metadata.context[0].host = parsed.hostname\n          .metadata.context[0].pid = parsed.pid\n      }\n  # Postgres logs some messages to stderr which we map to warning severity level\n  db_logs:\n    type: remap\n    inputs:\n      - router.db\n    source: |-\n      .metadata.host = \"db-default\"\n      .metadata.parsed.timestamp = .timestamp\n\n      parsed, err = parse_regex(.event_message, r'.*(?P<level>INFO|NOTICE|WARNING|ERROR|LOG|FATAL|PANIC?):.*', numeric_groups: true)\n\n      if err != null || parsed == null {\n        .metadata.parsed.error_severity = \"info\"\n      }\n      if parsed != null {\n       .metadata.parsed.error_severity = parsed.level\n      }\n      if .metadata.parsed.error_severity == \"info\" {\n          .metadata.parsed.error_severity = \"log\"\n      }\n      .metadata.parsed.error_severity = upcase!(.metadata.parsed.error_severity)\n\nsinks:\n  logflare_auth:\n    type: 'http'\n    inputs:\n      - auth_logs\n    encoding:\n      codec: 'json'\n    method: 'post'\n    request:\n      retry_max_duration_secs: 10\n    uri: 'http://analytics:4000/api/logs?source_name=gotrue.logs.prod&api_key=${LOGFLARE_API_KEY?LOGFLARE_API_KEY is required}'\n  logflare_realtime:\n    type: 'http'\n    inputs:\n      - realtime_logs\n    encoding:\n      codec: 'json'\n    method: 'post'\n    request:\n      retry_max_duration_secs: 10\n    uri: 'http://analytics:4000/api/logs?source_name=realtime.logs.prod&api_key=${LOGFLARE_API_KEY?LOGFLARE_API_KEY is required}'\n  logflare_rest:\n    type: 'http'\n    inputs:\n      - rest_logs\n    encoding:\n      codec: 'json'\n    method: 'post'\n    request:\n      retry_max_duration_secs: 10\n    uri: 'http://analytics:4000/api/logs?source_name=postgREST.logs.prod&api_key=${LOGFLARE_API_KEY?LOGFLARE_API_KEY is required}'\n  logflare_db:\n    type: 'http'\n    inputs:\n      - db_logs\n    encoding:\n      codec: 'json'\n    method: 'post'\n    request:\n      retry_max_duration_secs: 10\n    # We must route the sink through kong because ingesting logs before logflare is fully initialised will\n    # lead to broken queries from studio. This works by the assumption that containers are started in the\n    # following order: vector > db > logflare > kong\n    uri: 'http://kong:8000/analytics/v1/api/logs?source_name=postgres.logs&api_key=${LOGFLARE_API_KEY?LOGFLARE_API_KEY is required}'\n  logflare_functions:\n    type: 'http'\n    inputs:\n      - router.functions\n    encoding:\n      codec: 'json'\n    method: 'post'\n    request:\n      retry_max_duration_secs: 10\n    uri: 'http://analytics:4000/api/logs?source_name=deno-relay-logs&api_key=${LOGFLARE_API_KEY?LOGFLARE_API_KEY is required}'\n  logflare_storage:\n    type: 'http'\n    inputs:\n      - storage_logs\n    encoding:\n      codec: 'json'\n    method: 'post'\n    request:\n      retry_max_duration_secs: 10\n    uri: 'http://analytics:4000/api/logs?source_name=storage.logs.prod.2&api_key=${LOGFLARE_API_KEY?LOGFLARE_API_KEY is required}'\n  logflare_kong:\n    type: 'http'\n    inputs:\n      - kong_logs\n      - kong_err\n    encoding:\n      codec: 'json'\n    method: 'post'\n    request:\n      retry_max_duration_secs: 10\n    uri: 'http://analytics:4000/api/logs?source_name=cloudflare.logs.prod&api_key=${LOGFLARE_API_KEY?LOGFLARE_API_KEY is required}'\n"
  },
  {
    "path": "docker/volumes/pooler/pooler.exs",
    "content": "{:ok, _} = Application.ensure_all_started(:supavisor)\n\n{:ok, version} =\n  case Supavisor.Repo.query!(\"select version()\") do\n    %{rows: [[ver]]} -> Supavisor.Helpers.parse_pg_version(ver)\n    _ -> nil\n  end\n\nparams = %{\n  \"external_id\" => System.get_env(\"POOLER_TENANT_ID\"),\n  \"db_host\" => \"db\",\n  \"db_port\" => System.get_env(\"POSTGRES_PORT\"),\n  \"db_database\" => System.get_env(\"POSTGRES_DB\"),\n  \"require_user\" => false,\n  \"auth_query\" => \"SELECT * FROM pgbouncer.get_auth($1)\",\n  \"default_max_clients\" => System.get_env(\"POOLER_MAX_CLIENT_CONN\"),\n  \"default_pool_size\" => System.get_env(\"POOLER_DEFAULT_POOL_SIZE\"),\n  \"default_parameter_status\" => %{\"server_version\" => version},\n  \"users\" => [%{\n    \"db_user\" => \"pgbouncer\",\n    \"db_password\" => System.get_env(\"POSTGRES_PASSWORD\"),\n    \"mode_type\" => System.get_env(\"POOLER_POOL_MODE\"),\n    \"pool_size\" => System.get_env(\"POOLER_DEFAULT_POOL_SIZE\"),\n    \"is_manager\" => true\n  }]\n}\n\nif !Supavisor.Tenants.get_tenant_by_external_id(params[\"external_id\"]) do\n  {:ok, _} = Supavisor.Tenants.create_tenant(params)\nend\n"
  },
  {
    "path": "experimental/tune/base/case.py",
    "content": "#!/usr/bin/python3.10\n# coding: utf-8\n# Copyright (c) Huawei Technologies Co., Ltd. 2025-2025. All rights reserved\n\nfrom typing import List, Dict, Optional, Any, Callable\n\nfrom pydantic import BaseModel, field_validator, Field, FieldValidationInfo\n\nfrom experimental.tune.common.exception import ParamCheckFailedException\nfrom experimental.tune.base.exception import CaseValidationException\nfrom experimental.tune.base.constant import TuneConstant\n\n\nclass Case(BaseModel):\n    \"\"\"Definition of prompt optimization user case\"\"\"\n    messages: List[Dict] = Field(default=[])\n    tools: Optional[List[Dict]] = Field(default=None)\n\n    @field_validator(\"messages\")\n    @classmethod\n    def check_message_list_content(cls, value: List[Dict], info: FieldValidationInfo) -> List[Dict]:\n        \"\"\"check message list content is valid\"\"\"\n        if not isinstance(value, list):\n            raise ParamCheckFailedException(f\"input value field name {info.field_name} check failed! \"\n                                            f\"value type not correct, expected list\")\n\n        if not value:\n            raise ParamCheckFailedException(f\"input value field name {info.field_name} check failed! \"\n                                            f\"value is empty\")\n        if value[-1].get(TuneConstant.MESSAGE_ROLE_KEY) != TuneConstant.ASSISTANT_ROLE:\n            raise ParamCheckFailedException(f\"the last message role should be {TuneConstant.ASSISTANT_ROLE}\")\n        return value\n\n\nclass CaseInfo(BaseModel):\n    \"\"\"Definition of case information\"\"\"\n    role: str\n    name: str\n    content: str\n    tools: Any\n    tool_calls: Any\n    variable: Any\n\n\nclass CaseManager:\n    \"\"\"Definition of case manager\"\"\"\n    VALID_ROLES_SET = {\n        TuneConstant.USER_ROLE,\n        TuneConstant.SYSTEM_ROLE,\n        TuneConstant.ASSISTANT_ROLE,\n        TuneConstant.TOOL_ROLE\n    }\n\n    @staticmethod\n    def validate_with_convert(data: List[Dict[str, Any]],\n                              convertor: Optional[Callable] = None,\n                              default_tools: Optional[List[Dict]] = None) -> List:\n        \"\"\"validate and convert cases to optimizer acceptable input\"\"\"\n        optimizer_input = []\n        if not data:\n            raise CaseValidationException(f\"input data is empty\", TuneConstant.ROOT_CASE_INDEX)\n\n        if len(data) > TuneConstant.DEFAULT_MAX_CASE_NUM:\n            raise CaseValidationException(\n                f\"The number of input cases should be less than {TuneConstant.DEFAULT_MAX_CASE_NUM}\",\n                TuneConstant.DEFAULT_MAX_CASE_NUM\n            )\n\n        if not isinstance(data, list) or not isinstance(data[0], dict):\n            raise CaseValidationException(\"Input type is not json-list\", TuneConstant.ROOT_CASE_INDEX)\n\n        for case_idx, case in enumerate(data):\n            messages = CaseManager._get_case_value_with_check(case, TuneConstant.MESSAGE_KEY, case_idx)\n            if not isinstance(messages, list):\n                raise CaseValidationException(\"Input type is not json-list\", TuneConstant.ROOT_CASE_INDEX)\n            tools = case.get(TuneConstant.TOOL_ROLE, None) or default_tools\n            role = \"\"\n            for msg_idx, msg in enumerate(messages):\n                if not isinstance(msg, dict):\n                    raise CaseValidationException(\"Message in 'messages' is not json-dict\",\n                                                  TuneConstant.ROOT_CASE_INDEX)\n                role = CaseManager._get_case_value_with_check(msg, TuneConstant.MESSAGE_ROLE_KEY, case_idx)\n                if role not in CaseManager.VALID_ROLES_SET:\n                    raise CaseValidationException(f\"Invalid role type '{role}' in case-{case_idx}\", case_idx)\n                content = CaseManager._get_case_value_with_check(msg, TuneConstant.MESSAGE_CONTENT_KEY, msg_idx)\n                tool_calls = msg.get(TuneConstant.MESSAGE_TOOL_CALLS_KEY, [])\n                if not tool_calls and not content.strip():\n                    raise CaseValidationException(f\"Empty message content in case-{case_idx}\", case_idx)\n\n                tool_name = msg.get(TuneConstant.NAME_KEY, \"\")\n                variable = msg.get(TuneConstant.VARIABLE_KEY, dict())\n                if convertor:\n                    convertor(optimizer_input, case_idx, msg_idx == (len(messages) - 1),\n                              CaseInfo(role=role, tools=tools, content=content,\n                                       name=tool_name, tool_calls=tool_calls, variable=variable))\n\n            if role != TuneConstant.ASSISTANT_ROLE:\n                raise CaseValidationException(\n                    f\"The last message role should be {TuneConstant.ASSISTANT_ROLE} in case-{case_idx}\", case_idx\n                )\n        return optimizer_input\n\n    @staticmethod\n    def default_convertor(cases: List, idx: int, is_last: bool, info: CaseInfo) -> None:\n        \"\"\"default optimizer input convertor\"\"\"\n        if len(cases) <= idx:\n            cases.append(dict(\n                question=\"\",\n                label=\"\",\n                tools=info.tools,\n                variable=dict()\n            ))\n        case = cases[-1]\n        if info.variable:\n            case[TuneConstant.VARIABLE_KEY] = info.variable\n        if info.role == TuneConstant.ASSISTANT_ROLE:\n            content = str(info.tool_calls) if info.tool_calls else info.content\n            if is_last:\n                if not case.get(TuneConstant.QUESTION_KEY, \"\"):\n                    raise CaseValidationException(f\"case-{idx} is not a question-label pair\", idx)\n                case[TuneConstant.LABEL_KEY] = content\n            else:\n                case[TuneConstant.QUESTION_KEY] = f\"{info.role}: {content}\\n\"\n        elif info.role == TuneConstant.TOOL_ROLE:\n            content = f\"{info.role}: name={info.name}, content={info.content}\\n\"\n            case[TuneConstant.QUESTION_KEY] += content\n        else:\n            content = str(info.tool_calls) if info.tool_calls else info.content\n            case[TuneConstant.QUESTION_KEY] += f\"{info.role}: {content}\\n\"\n\n    @staticmethod\n    def _get_case_value_with_check(data: Dict[str, Any], key: str, index: int) -> Any:\n        \"\"\"get case value with existence check\"\"\"\n        value = data.get(key, None)\n        if value is None:\n            raise CaseValidationException(f\"{key} is not in \\\"case={index}\\\"\", index)\n        return value"
  },
  {
    "path": "experimental/tune/base/constant.py",
    "content": "#!/usr/bin/python3.10\n# coding: utf-8\n# Copyright (c) Huawei Technologies Co., Ltd. 2025-2025. All rights reserved\n\nclass TuneConstant:\n    \"\"\"prompt tuning constants\"\"\"\n\n    \"\"\"message roles constant\"\"\"\n    SYSTEM_ROLE = \"system\"\n    ASSISTANT_ROLE = \"assistant\"\n    USER_ROLE = \"user\"\n    TOOL_ROLE = \"tools\"\n\n    \"\"\"message keys constant\"\"\"\n    MESSAGE_KEY = \"messages\"\n    TOOLS_KEY = \"tools\"\n    MESSAGE_ROLE_KEY = \"role\"\n    MESSAGE_CONTENT_KEY = \"content\"\n    MESSAGE_TOOL_CALLS_KEY = \"tool_calls\"\n    QUESTION_KEY = \"question\"\n    REASON_KEY = \"reason\"\n    LABEL_KEY = \"label\"\n    NAME_KEY = \"name\"\n    VARIABLE_KEY = \"variable\"\n    PREDICT_KEY = \"predict\"\n\n    \"\"\"optimizer parameters type constant\"\"\"\n    ROOT_CASE_INDEX: int = -1\n    EVALUATION_METHOD_TEXT = \"TEXT\"\n    EVALUATION_METHOD_LLM = \"LLM\"\n    OPTIMIZATION_METHOD_JOINT = \"JOINT\"\n    RAW_PROMPT_TAG = \"<RAW_PROMPT>\"\n\n    \"\"\"optimizer parameters default value constant\"\"\"\n    DEFAULT_EXAMPLE_NUM: int = 0\n    DEFAULT_COT_EXAMPLE_NUM: int = 0\n    DEFAULT_ITERATION_NUM: int = 3\n    DEFAULT_MAX_SAMPLED_EXAMPLE_NUM: int = 10\n    DEFAULT_LLM_PARALLEL_DEGREE: int = 1\n    DEFAULT_LLM_CALL_RETRY_NUM: int = 5\n    DEFAULT_COT_EXAMPLE_RATIO: float = 0.25\n    DEFAULT_MAX_CASE_NUM: int = 300\n    DEFAULT_OPTIMIZATION_METHOD = OPTIMIZATION_METHOD_JOINT\n    DEFAULT_EVALUATION_METHOD = EVALUATION_METHOD_LLM\n    DEFAULT_MAX_RUNNING_TASK_NUM: int = 64\n\n    \"\"\"optimizer parameters threshold constant\"\"\"\n    MIN_ITERATION_NUM: int = 1\n    MAX_ITERATION_NUM: int = 20\n    MIN_LLM_CALL_RETRY_NUM: int = 1\n    MAX_LLM_CALL_RETRY_NUM: int = 10\n    MIN_LLM_PARALLEL_DEGREE: int = 1\n    MAX_LLM_PARALLEL_DEGREE: int = 10\n    MIN_EXAMPLE_NUM: int = 0\n    MAX_EXAMPLE_NUM: int = 10\n    MIN_COT_EXAMPLE_NUM: int = 0\n    MAX_COT_EXAMPLE_NUM: int = 5\n\n    DEFAULT_TOOL_CALL_PROMPT_PREFIX: str = \"\"\"\n    API/工具说明:\\n{{APIS_DESCRIPTION}}\n    \"\"\"\n\nclass TaskStatus:\n    \"\"\"optimizer task status\"\"\"\n    TASK_STATUS = \"status\"\n    TASK_RUNNING = \"running\"\n    TASK_FINISHED = \"finished\"\n    TASK_FAILED = \"failed\"\n    TASK_STOPPED = \"stopped\"\n    TASK_STOPPING = \"stopping\"\n    TASK_DELETED = \"deleted\"\n    TASK_QUEUED = \"queued\""
  },
  {
    "path": "experimental/tune/base/context_manager.py",
    "content": "#!/usr/bin/python3.10\n# coding: utf-8\n# Copyright (c) Huawei Technologies Co., Ltd. 2025-2025. All rights reserved\n\nimport copy\nimport threading\nfrom typing import Dict, Optional, Any\nfrom cacheout import Cache\n\nfrom experimental.tune.common.singleton import Singleton\nfrom experimental.tune.base.constant import TuneConstant, TaskStatus\n\nContext = Dict[str, Any]\nSTOP_EVENT = \"stop_event\"\n\nclass OptimizeProgress:\n    def __init__(self, ctx_id):\n        self._ctx_id = ctx_id\n\n    @property\n    def status(self) -> str:\n        return self._context.get(TaskStatus.TASK_STATUS, \"\")\n\n    @property\n    def error_msg(self) -> str:\n        return self._context.get(\"error_msg\", \"\")\n\n    @property\n    def best_prompt(self) -> str:\n        if not self._context:\n            return \"\"\n        opt_params = self._context.get(\"params\")\n        if not opt_params:\n            return self._context.get(\"raw_templates\", [\"\"])[0]\n        return opt_params.full_prompt\n\n    @property\n    def base_accuracy(self) -> Optional[float]:\n        history = self._context.get(\"history\", [])\n        if not history:\n            return None\n        return history[0].success_rate\n\n    @property\n    def best_accuracy(self) -> Optional[float]:\n        return self._context.get(\"best_accuracy\", None)\n\n    @property\n    def current_iteration(self) -> int:\n        history_list = self._context.get(\"history\", [])\n        return len(history_list) - 1 if history_list else 0\n\n    def stop(self) -> bool:\n        status = self.status\n        if status == TaskStatus.TASK_RUNNING:\n            stop_event: Optional[threading.Event] = self._context.get(STOP_EVENT, None)\n            if stop_event and not stop_event.is_set():\n                self._context[TaskStatus.TASK_STATUS] = TaskStatus.TASK_STOPPING\n                stop_event.set()\n                return True\n        return False\n\n    def delete(self):\n        task_id = self._context.get(\"id\", None)\n        ContextManager().delete(task_id)\n\n    def get_history(self):\n        history = self._context.get(\"history\", [])\n        if not history:\n            return []\n        return [(h.full_prompt, h.success_rate) for h in history]\n\n    @property\n    def _context(self):\n        return ContextManager().get(self._ctx_id)\n\nclass ContextManager(metaclass=Singleton):\n    \"\"\"manage optimizer train context\"\"\"\n    def __init__(self):\n        self._cache: Cache = Cache(maxsize=65536)            # context memory cache\n        self._check_points: Cache = Cache(maxsize=65536)     # context checkpoint\n        self._lock: threading.Lock = threading.Lock()\n\n        self._n_max_running_task: int = TuneConstant.DEFAULT_MAX_RUNNING_TASK_NUM\n\n    def __len__(self):\n        \"\"\"get length of current contexts\"\"\"\n        with self._lock:\n            return self._cache.size()\n\n    def get_task_progress(self, ctx_id: str):\n        return OptimizeProgress(ctx_id)\n\n    def get_context_attr(self, ctx_id: str, attr_name: str):\n        context = self._cache.get(ctx_id)\n        if context:\n            return context.get(attr_name, None)\n\n    def set_context_attr(self, ctx_id: str, attr_name: str, value: Any):\n        context = self._cache.get(ctx_id)\n        if context:\n            context[attr_name] = value\n        checkpoint = self._check_points.get(ctx_id)\n        if checkpoint:\n            checkpoint[attr_name] = value\n\n    def set(self, ctx_id: str, context: Context):\n        \"\"\"set context to cache\"\"\"\n        with self._lock:\n            self._cache.set(ctx_id, context)\n\n    def get(self, ctx_id: str) -> Optional[Context]:\n        \"\"\"get context from cache\"\"\"\n        with self._lock:\n            return self._cache.get(ctx_id, None)\n\n    def is_executable(self):\n        n_running_task = 0\n        for task in self._cache.values():\n            status = task.status\n            if status in (TaskStatus.TASK_STOPPING, TaskStatus.TASK_RUNNING):\n                n_running_task += 1\n        return n_running_task <= self._n_max_running_task\n\n    def set_checkpoint(self, ctx_id: str, context: Context):\n        \"\"\"set checkpoint to cache\"\"\"\n        with self._lock:\n            stop_event = context.get(STOP_EVENT)\n            context[STOP_EVENT] = None\n            copy_context = copy.deepcopy(context)\n            context[STOP_EVENT] = stop_event\n            self._check_points.set(ctx_id, copy_context)\n\n    def get_checkpoint(self, ctx_id: str) -> Optional[Context]:\n        \"\"\"get checkpoint from cache\"\"\"\n        with self._lock:\n            context = copy.deepcopy(self._check_points.get(ctx_id), None)\n            if context:\n                context[STOP_EVENT] = threading.Event()\n            return context\n\n    def delete(self, ctx_id: str):\n        \"\"\"delete checkpoint from cache\"\"\"\n        if ctx_id is None:\n            return\n        with self._lock:\n            self._cache.delete(ctx_id)\n            self._check_points.delete(ctx_id)\n\n    def clear(self):\n        \"\"\"clear checkpoint from cache\"\"\"\n        with self._lock:\n            self._cache.clear()\n            self._check_points.clear()\n\n    def items(self):\n        with self._lock:\n            return self._cache.items()"
  },
  {
    "path": "experimental/tune/base/exception.py",
    "content": "from experimental.tune.common.exception import JiuWenBaseException, StatusCode\nfrom experimental.tune.base.constant import TuneConstant\n\nclass CaseValidationException(JiuWenBaseException):\n    \"\"\"Definition of cases validation exception\"\"\"\n    def __init__(self, message: str, error_index: int = TuneConstant.ROOT_CASE_INDEX):\n        super().__init__(StatusCode.PROMPT_OPTIMIZE_CASE_VALIDATION_ERROR.code,\n                         StatusCode.PROMPT_OPTIMIZE_CASE_VALIDATION_ERROR.errmsg.format(\n                             error_msg=message\n                         ))\n\n        self._error_index = error_index\n\n    @property\n    def error_index(self):\n        \"\"\"index of the error case\"\"\"\n        return self._error_index\n\n\nclass OnStopException(JiuWenBaseException):\n    \"\"\"Definition of on-stop exception\"\"\"\n    def __init__(self, message: str):\n        super().__init__(StatusCode.SUCCESS.code, message)"
  },
  {
    "path": "experimental/tune/base/utils.py",
    "content": "# -*- coding: utf-8 -*-\n\n\"\"\"\nprompt optimization utils\n\"\"\"\n\nfrom typing import List, Dict, Optional, Any, Union\nfrom datetime import datetime, timezone, timedelta\n\nfrom pydantic import BaseModel, Field, FieldValidationInfo, field_validator\nimport yaml\n\nfrom experimental.tune.common.exception import JiuWenBaseException, StatusCode\nfrom experimental.tune.base.case import Case\nfrom experimental.tune.base.constant import TuneConstant\nfrom experimental.tune.common.singleton import Singleton\n\n\nclass TaskInfo(BaseModel):\n    \"\"\"prompt optimization input task info\"\"\"\n    task_id: str = Field(...)\n    task_name: str = Field(default=\"optimization task\")\n    task_description: str = Field(default=\"\")\n    create_time: str = Field(default=datetime.now(tz=timezone(timedelta(hours=8))).strftime(\"%Y-%m-%d %H:%M:%S\"))\n\n\nclass OptimizeInfo(BaseModel):\n    \"\"\"definition of prompt optimization info\"\"\"\n    cases: List[Case] = Field(default=[])\n    num_iterations: int = Field(default=TuneConstant.DEFAULT_ITERATION_NUM)\n    num_parallel: int = Field(default=TuneConstant.DEFAULT_LLM_PARALLEL_DEGREE,\n                              ge=TuneConstant.MIN_LLM_PARALLEL_DEGREE, le=TuneConstant.MAX_LLM_PARALLEL_DEGREE)\n    num_examples: int = Field(default=TuneConstant.DEFAULT_EXAMPLE_NUM,\n                              ge=TuneConstant.MIN_EXAMPLE_NUM, le=TuneConstant.MAX_EXAMPLE_NUM)\n    num_cot_examples: int = Field(default=TuneConstant.DEFAULT_COT_EXAMPLE_NUM,\n                                  ge=TuneConstant.MIN_COT_EXAMPLE_NUM, le=TuneConstant.MAX_COT_EXAMPLE_NUM)\n    num_retires: int = Field(default=TuneConstant.DEFAULT_LLM_CALL_RETRY_NUM,\n                             ge=TuneConstant.MIN_LLM_CALL_RETRY_NUM, le=TuneConstant.MAX_LLM_CALL_RETRY_NUM)\n    optimize_method: str = Field(default=TuneConstant.OPTIMIZATION_METHOD_JOINT)\n    placeholder: Optional[List] = Field(default=[])\n    evaluation_method: str = Field(default=TuneConstant.DEFAULT_EVALUATION_METHOD)\n    tools: Union[List[Dict[str, Any]], Any] = Field(default=[])\n    user_compare_rules: str = Field(default=\"None\")\n\n\nclass JointParameters(BaseModel):\n    \"\"\"Joint optimization parameters\"\"\"\n    num_examples: int = Field(default=TuneConstant.DEFAULT_EXAMPLE_NUM)\n    num_cot_examples: int = Field(default=TuneConstant.DEFAULT_COT_EXAMPLE_NUM)\n    base_instructions: str = Field(default=\"\")\n    filled_instructions: str = Field(default=\"\")\n    full_prompt: str = Field(default=\"\")\n    answer_format: str = Field(default=\"\")\n    task_description: str = Field(default=\"\")\n    num_iterations: int = Field(default=TuneConstant.DEFAULT_ITERATION_NUM)\n    opt_placeholder_names: List[str] = Field(default=[])\n    placeholders: List = Field(default=[])\n    original_placeholders: List = Field(default=[])\n    examples: List = Field(default=[])\n    cot_examples: List = Field(default=[])\n\n\nclass History(BaseModel):\n    \"\"\"optimization history for every round\"\"\"\n    optimized_prompt: str = Field(default=\"\")\n    original_placeholder: Dict[str, str] = Field(default={})\n    optimized_placeholder: Dict[str, str] = Field(default={})\n    examples: List[str] = Field(default=[])\n    filled_prompt: str = Field(default=\"\")\n    success_rate: float = Field(default=0.0)\n    iteration_round: int = Field(default=0)\n\n\nclass BaseModelInfo(BaseModel):\n    api_key: Optional[str] = Field(default=\"\", alias=\"api_key\")\n    api_base: Optional[str] = Field(default=\"\", alias=\"api_base\")\n    model_name: str = Field(default=\"\", alias=\"model\")\n    temperature: float = Field(default=0.95)\n    top_p: float = Field(default=0.1)\n    streaming: bool = Field(default=False, alias=\"stream\")\n    timeout: float = Field(default=60.0)\n\n    @field_validator('model_name', mode='before')\n    @classmethod\n    def handle_model_name(cls, v, values):\n        if not v and 'model' in values.data:\n            return values.data['model']\n        return v\n\n    class Config:\n        populate_by_name = True\n        extra = \"forbid\"\n\nclass Response(BaseModel):\n    content: str = \"\"\n\n\nclass BaseChatModel:\n    def invoke(self, messages: List[Any]):\n        return Response(content=\"\")\n\n\nclass ModelFactory(metaclass=Singleton):\n    def get_model(self, model_provider: str, model_info: BaseModelInfo) -> BaseChatModel:\n        return BaseChatModel()\n\n\nclass LLMModelInfo(BaseModel):\n    \"\"\"LLM model config info\"\"\"\n    url: str = Field(default=\"\", min_length=0, max_length=256)\n    model: str = Field(default=\"\", min_length=0, max_length=256)\n    type: str = Field(default=\"\", min_length=0, max_length=256)\n    headers: Optional[Dict] = Field(default={})\n    model_source: str = Field(default=\"\", min_length=0, max_length=256)\n    api_key: str = Field(default=\"\", min_length=0, max_length=256)\n\n\nclass LLMModelProcess:\n    \"\"\"LLM invoke process\"\"\"\n    def __init__(self, llm_model_info: LLMModelInfo):\n        if llm_model_info.headers is None:\n            raise JiuWenBaseException(\n                error_code=StatusCode.LLM_CONFIG_MISS_ERROR.code,\n                message=StatusCode.LLM_CONFIG_MISS_ERROR.errmsg.format(\n                    error_msg=\"prompt optimization llm config is missing\"\n                )\n            )\n        if not llm_model_info.model_source or not llm_model_info.model:\n            raise JiuWenBaseException(\n                error_code=StatusCode.LLM_CONFIG_MISS_ERROR.code,\n                message=StatusCode.LLM_CONFIG_MISS_ERROR.errmsg.format(\n                    error_msg=\"prompt optimization llm config is missing\"\n                )\n            )\n        model_info = BaseModelInfo(\n            api_key=llm_model_info.api_key,\n            api_base=llm_model_info.url,\n            model=llm_model_info.model,\n            temperature=0.0,\n            top_p=0.0\n        )\n        self.chat_llm = ModelFactory().get_model(llm_model_info.model_source, model_info)\n\n    def chat(self, messages: List[Any]) -> Dict:\n        \"\"\"chat\"\"\"\n        reply_message = self.chat_llm.invoke(messages)\n        return dict(content=reply_message.content)\n\n\ndef load_yaml_to_dict(file_path: str) -> Dict:\n    \"\"\"load yaml file\"\"\"\n    with open(file_path, \"r\", encoding=\"utf-8\") as f:\n        try:\n            yaml_content = f.read()\n            parsed_dict = yaml.safe_load(yaml_content)\n        except Exception as e:\n            raise JiuWenBaseException(\n                error_code=StatusCode.LLM_CONFIG_MISS_ERROR.code,\n                message=StatusCode.LLM_CONFIG_MISS_ERROR.errmsg\n            )\n    return parsed_dict\n\ndef calculate_runtime(start_time: str) -> int:\n    \"\"\"calculate task runtime\"\"\"\n    if not start_time:\n        raise JiuWenBaseException(\n            error_code=StatusCode.PROMPT_OPTIMIZE_INVALID_PARAMS_ERROR.code,\n            message=StatusCode.PROMPT_OPTIMIZE_INVALID_PARAMS_ERROR.errmsg.format(\n                error_msg=\"invalid start time\"\n            )\n        )\n    try:\n        start_time = datetime.strptime(start_time, \"%Y-%m-%d %H:%M:%S\")\n        cur_time = datetime.now(tz=timezone(timedelta(hours=8))).strftime(\"%Y-%m-%d %H:%M:%S\")\n        cur_time = datetime.strptime(cur_time, \"%Y-%m-%d %H:%M:%S\")\n    except Exception as e:\n        raise JiuWenBaseException(\n            error_code=StatusCode.PROMPT_OPTIMIZE_INVALID_PARAMS_ERROR.code,\n            message=StatusCode.PROMPT_OPTIMIZE_INVALID_PARAMS_ERROR.errmsg.format(\n                error_msg=\"invalid time format\"\n            )\n        ) from e\n    return int((cur_time - start_time).total_seconds())\n\n\ndef placeholder_to_dict(placeholder_list: List, select_all: bool = False) -> Dict:\n    \"\"\"convert placeholder list to dict\"\"\"\n    if not placeholder_list:\n        return {}\n\n    placeholder_dict = {}\n    for placeholder in placeholder_list:\n        if select_all or placeholder.get(\"need_optimize\"):\n            placeholder_dict[placeholder[\"name\"]] = placeholder[\"content\"]\n    return placeholder_dict\n\n\ndef examples_to_string_list(example_list: List) -> List[str]:\n    \"\"\"convert example list to string list\"\"\"\n    if not example_list:\n        return []\n    example_string_format = (f\"[query]: {TuneConstant.QUESTION_KEY}\\n\"\n                             f\"[assistant answer]: {TuneConstant.LABEL_KEY}\")\n    example_string_list = []\n    for example in example_list:\n        example_string_list.append(example_string_format.format(\n            question=example.get(TuneConstant.QUESTION_KEY, \"\"),\n            label=example.get(TuneConstant.LABEL_KEY, \"\")\n        ))\n    return example_string_list\n\ndef get_example_question(example):\n    \"\"\"get example question\"\"\"\n    content = example.get(TuneConstant.QUESTION_KEY, \"\")\n    if TuneConstant.RAW_PROMPT_TAG in content:\n        return str(example.get(TuneConstant.VARIABLE_KEY, \"\"))\n    return content"
  },
  {
    "path": "experimental/tune/common/exception.py",
    "content": "from enum import Enum\n\nclass JiuWenException(Exception):\n    def __init__(self,\n                 message,\n                 *args, **kwargs):\n        super().__init__(message, args, kwargs)\n\nclass JiuWenBaseException(Exception):\n    def __init__(self,\n                 error_code,\n                 message):\n        super().__init__(error_code, message)\n        self._error_code = error_code\n        self._message = message\n\n    def __str__(self):\n        return f\"[{self._error_code}]{self._message}\"\n\n    @property\n    def error_code(self):\n        return self._error_code\n\n    @property\n    def message(self):\n        return self._message\n\n\nclass ParamCheckFailedException(JiuWenBaseException):\n    def __init__(self, message: str):\n        super().__init__(error_code=StatusCode.PARAM_CHECK_FAILED_ERROR.code,\n                         message=f\"{StatusCode.PARAM_CHECK_FAILED_ERROR.errmsg}, root cause = {message}\")\n\n\nclass StatusCode(Enum):\n    SUCCESS = (200, \"success\")\n\n    PARAM_CHECK_FAILED_ERROR = (100002, \"Error occur when input parameter varification failed\")\n    LLM_CONFIG_MISS_ERROR = (100021, \"LLM service configuration is missing: {error_msg}\")\n    LLM_FALSE_RESULT_ERROR = (102003, \"LLM service return false result due to {error_msg}\")\n\n    PROMPT_OPTIMIZE_REFINE_INSTRUCTION_ERROR = (\n        102162, \"Prompt optimization failed to refine instruction, root cause: {error_msg}\"\n    )\n\n    PROMPT_OPTIMIZE_RESTART_TASK_ERROR = (102159, \"Prompt optimization restart task error: {error_msg}\")\n    PROMPT_OPTIMIZE_EVALUATE_ERROR = (102157, \"Prompt optimization evaluate failed, root cause: {error_msg}\")\n    PROMPT_OPTIMIZE_INVALID_PARAMS_ERROR = (\n        102154, \"Prompt optimization parameters are invalid, root cause = {error_msg}\")\n    PROMPT_OPTIMIZE_CASE_VALIDATION_ERROR = (\n        102161, \"Prompt optimization validate input case failed, root cause = {error_msg}\"\n    )\n\n    @property\n    def code(self) -> int:\n        return self.value[0]\n\n    @property\n    def errmsg(self) -> str:\n        return self.value[1]"
  },
  {
    "path": "experimental/tune/common/singleton.py",
    "content": "import abc\nimport threading\n\nsingleton_lock = threading.Lock()\n\n\nclass Singleton(abc.ABCMeta, type):\n    _instances = {}\n\n    def __call__(cls, *args, **kwargs):\n        with singleton_lock:\n            if cls not in cls._instances:\n                cls._instances[cls] = super(Singleton, cls).__call__(*args, **kwargs)\n            return cls._instances[cls]"
  },
  {
    "path": "experimental/tune/joint_evaluator.py",
    "content": "# -*- coding: utf-8 -*-\n\n\"\"\"\nprompt optimization evaluators\n\"\"\"\n\nimport re\nimport json\nimport threading\nimport copy\nimport random\nfrom typing import Dict, Any\nfrom concurrent.futures import ThreadPoolExecutor, as_completed\nfrom logging import getLogger\nlogger = getLogger(__name__)\n\nfrom experimental.tune.base.exception import JiuWenBaseException\nfrom experimental.tune.base.utils import OptimizeInfo, LLMModelProcess, LLMModelInfo\nfrom experimental.tune.base.exception import OnStopException\nfrom experimental.tune.base.constant import TuneConstant\n\n\nclass JointEvaluatorWithRef:\n    \"\"\"Prompt evaluator, evaluate the response of model\"\"\"\n    def __init__(self, opt_model_info: LLMModelInfo, infer_model_info: LLMModelInfo,\n                 optimize_info: OptimizeInfo, compare_prompt: str):\n        self.opt_model = LLMModelProcess(opt_model_info)\n        self.infer_model = LLMModelProcess(infer_model_info)\n        self._num_retires = optimize_info.num_retires\n        self._llm_parallel = optimize_info.num_parallel\n        self._evaluation_method = optimize_info.evaluation_method\n        self._compare_answer_prompt = compare_prompt\n\n    @staticmethod\n    def parse_json(json_like_string: str) -> Dict[str, Any]:\n        \"\"\"Parse json string\"\"\"\n        pattern = r\"```json(.*?)```\"\n        match = re.search(pattern, json_like_string, re.DOTALL)\n\n        if match:\n            json_string = match.group(1).strip()\n            try:\n                parsed_data = json.loads(json_string)\n            except json.decoder.JSONDecodeError:\n                logger.warning(\"Failed to decode json string\")\n                return None\n            return parsed_data\n\n        logger.warning(\"No valid json string found\")\n        return None\n\n    @staticmethod\n    def compare_text(label: str, predict: str):\n        \"\"\"Compare the predicted text with label\"\"\"\n        if not isinstance(label, str) or not isinstance(predict, str):\n            return 0, \"Failed to compare non-string result\"\n        result = label.strip() == predict.strip()\n        return int(result), \"Same\" if result else \"Different\"\n\n    def compare_llm(self, question, label, predict):\n        \"\"\"Compare the predicted text with label by LLM\"\"\"\n        prompt_template = self._compare_answer_prompt.format(\n            question=question,\n            answer_match=predict,\n            actual_answer=label\n        )\n        try:\n            response = self.handle_inference_with_retry(prompt_template, is_assistant=False)\n        except JiuWenBaseException:\n            return 0, \"Failed to compare result due to LLM calling\"\n\n        if not response or \"content\" not in response:\n            return 0, \"Failed to get response from LLM\"\n\n        compare_result = self.parse_json(response.get(\"content\"))\n        if not compare_result:\n            return 0, \"Parse llm compare result failed\"\n\n        result = compare_result.get(\"result\", False)\n        score = 0\n        reason = compare_result.get(\"reason\", \"\")\n        if result is True or (isinstance(result, str) and result.strip().lower() == \"true\"):\n            score = 1\n        return score, reason\n\n    def evaluate_result(self, question, label, predict):\n        \"\"\"evaluate result\"\"\"\n        if self._evaluation_method == TuneConstant.EVALUATION_METHOD_TEXT:\n            return self.compare_text(label, predict)\n        return self.compare_llm(question, label, predict)\n\n    def chat_completion(self, user_prompt, system_prompt, is_assistant: bool = True):\n        \"\"\"get llm response\"\"\"\n        messages = []\n        if system_prompt:\n            messages.append({TuneConstant.MESSAGE_ROLE_KEY: TuneConstant.SYSTEM_ROLE,\n                             TuneConstant.MESSAGE_CONTENT_KEY: system_prompt})\n        messages.append({TuneConstant.MESSAGE_ROLE_KEY: TuneConstant.USER_ROLE,\n                         TuneConstant.MESSAGE_CONTENT_KEY: user_prompt})\n        return self.infer_model.chat(messages) if is_assistant else self.opt_model.chat(messages)\n\n    def handle_inference_with_retry(self, user_prompt, system_prompt=None, is_assistant: bool = True):\n        \"\"\"chat llm with retry\"\"\"\n        for i in range(self._num_retires):\n            try:\n                return self.chat_completion(user_prompt, system_prompt, is_assistant)\n            except JiuWenBaseException as e:\n                logger.info(f\"Inference failed at round {i}/{self._num_retires}: {str(e)}\")\n                if i == self._num_retires - 1:\n                    raise e\n        return None\n\n    def infer_and_compare_example(self, prompt, example, stop_event: threading.Event):\n        \"\"\"inference and compare example\"\"\"\n        if stop_event.is_set():\n            raise OnStopException(\"Task stop from evaluation\")\n        question, label = example.get(TuneConstant.QUESTION_KEY), example.get(TuneConstant.LABEL_KEY)\n        example_evaluation = copy.deepcopy(example)\n        tools = example_evaluation.pop(TuneConstant.TOOLS_KEY, None)\n        variable = example_evaluation.get(TuneConstant.VARIABLE_KEY, None)\n        if variable:\n            for var_name, var_content in variable.items():\n                prompt = prompt.replace(f\"{{{{{var_name}}}}}\", var_content)\n        if TuneConstant.RAW_PROMPT_TAG in question:\n            full_question = question.replace(TuneConstant.RAW_PROMPT_TAG, prompt)\n            response = self.handle_inference_with_retry(full_question)\n            question = str(variable)\n        else:\n            if tools:\n                system_prompt_prefix = TuneConstant.DEFAULT_TOOL_CALL_PROMPT_PREFIX.replace(\n                    \"{{APIS_DESCRIPTION}}\", str(tools) if tools else \"\"\n                )\n                response = self.handle_inference_with_retry(question, system_prompt_prefix + prompt)\n            else:\n                response = self.handle_inference_with_retry(question, prompt)\n        predict = response.get(TuneConstant.MESSAGE_CONTENT_KEY, \"\")\n        if not predict:\n            example_evaluation[\"score\"] = 0\n            example_evaluation[\"predict\"] = None\n            return example_evaluation, 0, \"Failed to get predict\"\n\n        compare_result, reason = self.evaluate_result(question, label, predict)\n        example_evaluation[\"score\"] = compare_result\n        example_evaluation[\"predict\"] = predict\n        return example_evaluation, compare_result, reason\n\n    def evaluate(self, prompt, dataset, stop_event: threading.Event):\n        \"\"\"evaluate dataset\"\"\"\n        eval_results = []\n        score_results = []\n        num_workers = min(self._llm_parallel, len(dataset))\n\n        with ThreadPoolExecutor(max_workers=num_workers) as executor:\n            futures = [\n                executor.submit(self.infer_and_compare_example, prompt, example, stop_event)\n                for example in dataset\n            ]\n\n            for future in as_completed(futures):\n                if stop_event.is_set():\n                    raise OnStopException(\"Task stop from evaluation\")\n\n                try:\n                    example_evaluation, compare_result, _ = future.result()\n                except Exception as e:\n                    logger.error(f\"Error occur during evaluation: {str(e)}\")\n                    raise e\n                score_results.append(compare_result)\n                eval_results.append(example_evaluation)\n        accuracy = sum(score_results) / len(score_results) if score_results else 0\n        eval_results = [item for item in eval_results if item.get(\"score\", 0) == 0]\n        eval_results = random.sample(eval_results, min(TuneConstant.DEFAULT_MAX_SAMPLED_EXAMPLE_NUM,\n                                                       len(eval_results)))\n        return accuracy, eval_results"
  },
  {
    "path": "experimental/tune/joint_optimizer.py",
    "content": "# -*- coding: utf-8 -*-\n\n\"\"\"\nprompt optimization evaluators\n\"\"\"\n\nimport re\nimport random\nimport threading\nimport copy\nfrom os.path import dirname, join\nfrom dataclasses import dataclass\nfrom typing import List, Optional, Tuple\n\nfrom logging import getLogger\nlogger = getLogger(__name__)\nfrom experimental.tune.common.exception import JiuWenBaseException, StatusCode\nfrom experimental.tune.base.exception import OnStopException\nfrom experimental.tune.base.constant import TuneConstant, TaskStatus\nfrom experimental.tune.base.utils import (LLMModelProcess, LLMModelInfo, TaskInfo, load_yaml_to_dict, JointParameters,\n                             placeholder_to_dict, calculate_runtime, History, OptimizeInfo, get_example_question)\nfrom experimental.tune.base.context_manager import ContextManager, STOP_EVENT, Context\nfrom experimental.tune.joint_evaluator import JointEvaluatorWithRef\nfrom experimental.tune.base.case import CaseManager\n\n@dataclass\nclass SpecificMatch:\n    QUESTION_KEY = \"[query]:\"\n    ANSWER_KEY = \"[assistant answer]:\"\n    EXAMPLE_DELIMITER_PATTERN = r\"(?s)(?<=<INS>)(.*?)(?=</INS>)\"\n\nclass JointOptimizer:\n    def __init__(self):\n        self._opt_model = None\n        self._infer_model = None\n        self.evaluator = None\n        self.dataset = None\n        self.params = JointParameters()\n        self.cur_iteration = 0\n        self.best_accuracy = 0.0\n        self.sampled_incorrect_data = []\n        self.variable = []\n        default_opt_prompt_config_path = join(dirname(__file__), \"joint_prompt_pool.yaml\")\n        self.prompt_pool = load_yaml_to_dict(default_opt_prompt_config_path)\n        self.instr_optimizer = None\n\n    @staticmethod\n    def get_optimize_placeholder(placeholder):\n        \"\"\"return a list of placeholders requiring optimization\"\"\"\n        try:\n            if not placeholder:\n                return None\n            return [p.get(\"name\") for p in placeholder if p.get(\"need_optimize\")]\n        except Exception as e:\n            logger.warning(f\"get optimize placeholder error: {e}\")\n            return None\n\n    @staticmethod\n    def extract_optimized_prompt_from_response(content) -> Optional[str]:\n        \"\"\"extract optimized prompt from response\"\"\"\n        optimized_prompt_pattern = r\"<PROMPT_OPTIMIZED>(.*?)</PROMPT_OPTIMIZED>\"\n        match = re.search(optimized_prompt_pattern, content, re.DOTALL)\n        if not match:\n            return None\n        optimized_prompt = match.group(1)\n        return optimized_prompt.replace(\"<prompt_base>\", \"\").replace(\"</prompt_base>\", \"\")\n\n    @staticmethod\n    def extract_optimized_placeholder_from_response(content) -> Optional[List]:\n        \"\"\"extract optimized placeholder from response\"\"\"\n        optimized_placeholder_pattern = r\"<PLACEHOLDER_OPTIMIZED>(.*?)</PLACEHOLDER_OPTIMIZED>\"\n        match = re.search(optimized_placeholder_pattern, content, re.DOTALL)\n        if not match:\n            return None\n        optimized_placeholder = match.group(1)\n        single_placeholder_pattern = re.compile(r\"<(.*?)>(.*?)</\\1>\", re.S)\n        matches = single_placeholder_pattern.findall(optimized_placeholder)\n        return [{TuneConstant.NAME_KEY: tag.strip(),\n                 TuneConstant.MESSAGE_CONTENT_KEY: content.strip()\n                 } for tag, content in matches]\n\n    @staticmethod\n    def fill_prompt(instruction: str, placeholder: List) -> str:\n        if not placeholder:\n            return instruction\n        for p in placeholder:\n            name = p.get(TuneConstant.NAME_KEY)\n            content = p.get(TuneConstant.MESSAGE_CONTENT_KEY)\n            if name and content:\n                instruction = instruction.replace(f\"{{{{{name}}}}}\", content)\n        return instruction\n\n    @staticmethod\n    def extract_examples_from_response(content):\n        \"\"\"extract examples from response\"\"\"\n        optimized_examples = []\n        question_pattern = re.compile(\n            re.escape(SpecificMatch.QUESTION_KEY) + r\"(.*?)\" +\n            re.escape(SpecificMatch.ANSWER_KEY) + r\"(.*)\",\n            re.DOTALL\n        )\n\n        for text in re.findall(SpecificMatch.EXAMPLE_DELIMITER_PATTERN, content):\n            match = question_pattern.search(text.strip())\n            if match:\n                question = match.group(1).strip()\n                answer_with_reason = match.group(2).strip()\n                optimized_examples.append({TuneConstant.QUESTION_KEY: question,\n                                           TuneConstant.LABEL_KEY: answer_with_reason})\n        return optimized_examples\n\n    @staticmethod\n    def prepare_optimization_template(template, instruction, placeholders, error_cases, reflection, tools):\n        \"\"\"generate a critique prompt\"\"\"\n        prompt = template.replace(\"{{PROMPT_META_TEMPLATE}}\", instruction)\n        prompt = prompt.replace(\"{{PLACEHOLDER_CONTENTS}}\", placeholders)\n        prompt = prompt.replace(\"{{ERROR_CASES}}\", error_cases)\n        prompt = prompt.replace(\"{{REFLECTIONS_ON_ERROR_CASES}}\", reflection)\n        prompt = prompt.replace(\"{{API_TOOLS_DESCRIPTION}}\", tools)\n        return prompt\n\n    @staticmethod\n    def validate_placeholder(prompt, placeholders):\n        \"\"\"validate the placeholder\"\"\"\n        placeholders_in_prompt = re.findall(r\"\\{\\{([\\w_]+)\\}\\}\", prompt)\n        placeholder_names = [item.get(\"name\", \"\") for item in placeholders]\n        for item in placeholders:\n            if not item.get(\"name\"):\n                raise JiuWenBaseException(\n                    error_code=StatusCode.PROMPT_OPTIMIZE_INVALID_PARAMS_ERROR.code,\n                    message=StatusCode.PROMPT_OPTIMIZE_INVALID_PARAMS_ERROR.errmsg.format(\n                        error_msg=\"Placeholder item 'name' cannot be empty\"))\n            if not item.get(\"content\"):\n                raise JiuWenBaseException(\n                    error_code=StatusCode.PROMPT_OPTIMIZE_INVALID_PARAMS_ERROR.code,\n                    message=StatusCode.PROMPT_OPTIMIZE_INVALID_PARAMS_ERROR.errmsg.format(\n                        error_msg=\"Placeholder item 'content' cannot be empty\"))\n            if \"need_optimize\" not in item:\n                raise JiuWenBaseException(\n                    error_code=StatusCode.PROMPT_OPTIMIZE_INVALID_PARAMS_ERROR.code,\n                    message=StatusCode.PROMPT_OPTIMIZE_INVALID_PARAMS_ERROR.errmsg.format(\n                        error_msg=\"Placeholder item 'need_optimize' cannot be empty\"))\n\n            if not isinstance(item[\"name\"], str):\n                raise JiuWenBaseException(\n                    error_code=StatusCode.PROMPT_OPTIMIZE_INVALID_PARAMS_ERROR.code,\n                    message=StatusCode.PROMPT_OPTIMIZE_INVALID_PARAMS_ERROR.errmsg.format(\n                        error_msg=\"Placeholder item 'name' must be a string\"))\n            if not isinstance(item[\"content\"], str):\n                raise JiuWenBaseException(\n                    error_code=StatusCode.PROMPT_OPTIMIZE_INVALID_PARAMS_ERROR.code,\n                    message=StatusCode.PROMPT_OPTIMIZE_INVALID_PARAMS_ERROR.errmsg.format(\n                        error_msg=\"Placeholder item 'content' must be a string\"))\n            if not isinstance(item[\"need_optimize\"], bool):\n                raise JiuWenBaseException(\n                    error_code=StatusCode.PROMPT_OPTIMIZE_INVALID_PARAMS_ERROR.code,\n                    message=StatusCode.PROMPT_OPTIMIZE_INVALID_PARAMS_ERROR.errmsg.format(\n                        error_msg=\"Placeholder item 'need_optimize' must be a boolean\"))\n        if not all(name in placeholders_in_prompt for name in placeholder_names):\n            missing_names = \", \".join([name for name in placeholder_names if name not in placeholders_in_prompt])\n            raise JiuWenBaseException(\n                error_code=StatusCode.PROMPT_OPTIMIZE_INVALID_PARAMS_ERROR.code,\n                message=StatusCode.PROMPT_OPTIMIZE_INVALID_PARAMS_ERROR.errmsg.format(\n                    error_msg=f\"Placeholder names {missing_names} not found in prompt\"))\n        logger.info(\"Schema validation succeeded.\")\n\n    @staticmethod\n    def _check_stop_event(context: Context) -> bool:\n        \"\"\"check optimization stop event\"\"\"\n        task_id = context.get(\"id\", \"\")\n        if context and context.get(STOP_EVENT) and context.get(STOP_EVENT).is_set():\n            raise OnStopException(f\"Task {task_id} stopped\")\n        return True\n\n    @staticmethod\n    def get_variable_from_dataset(dataset, prompt):\n        \"\"\"get variable from dataset\"\"\"\n        variable = set()\n        for case in dataset:\n            vars = case.get(TuneConstant.VARIABLE_KEY, {})\n            variable.update(vars)\n\n        reordered_variable = [(prompt.find(f\"{{{{{v}}}}}\"), v) for v in variable]\n        reordered_variable = [v[1] for v in sorted(reordered_variable, key=lambda x: x[0], reverse=False)]\n        return reordered_variable\n\n    def chat_completion(self, user_prompt, system_prompt=None, is_assistant=False):\n        \"\"\"generate chat completion\"\"\"\n        messages = []\n        if system_prompt:\n            messages.append({TuneConstant.MESSAGE_ROLE_KEY: TuneConstant.SYSTEM_ROLE,\n                             TuneConstant.MESSAGE_CONTENT_KEY: system_prompt})\n        messages.append({TuneConstant.MESSAGE_ROLE_KEY: TuneConstant.USER_ROLE,\n                         TuneConstant.MESSAGE_CONTENT_KEY: user_prompt})\n        retries = TuneConstant.DEFAULT_LLM_CALL_RETRY_NUM\n        for i in range(retries):\n            try:\n                response = self._opt_model.chat(messages) if not is_assistant else self._infer_model.chat(messages)\n                if not response or response.get(TuneConstant.MESSAGE_CONTENT_KEY) is None:\n                    raise JiuWenBaseException(\n                        StatusCode.LLM_FALSE_RESULT_ERROR.code,\n                        StatusCode.LLM_FALSE_RESULT_ERROR.errmsg.format(\n                            error_msh=\"call llm service get empty response\"\n                        )\n                    )\n                return response.get(TuneConstant.MESSAGE_CONTENT_KEY)\n            except (JiuWenBaseException, KeyError, AttributeError, TypeError) as e:\n                logger.info(f\"Inference failed at round {i}/{retries}: {str(e)}\")\n                if i == retries - 1:\n                    raise e\n        return None\n\n    def resample_examples(self, sampled_incorrect_data):\n        \"\"\"resampling examples\"\"\"\n        dataset = copy.deepcopy(self.dataset)\n        num_samples = self.params.num_examples + self.params.num_cot_examples\n        if len(sampled_incorrect_data) >= num_samples:\n            return sampled_incorrect_data\n        if len(dataset) <= num_samples:\n            return dataset\n\n        num_to_add = num_samples - len(sampled_incorrect_data)\n        unique_data = []\n        query_set = set()\n        for data in sampled_incorrect_data:\n            if not self.variable:\n                if data.get(TuneConstant.QUESTION_KEY, \"\") not in query_set:\n                    query_set.add(data[TuneConstant.QUESTION_KEY])\n                    unique_data.append(data)\n                    continue\n            if str(data[TuneConstant.VARIABLE_KEY]) in query_set:\n                query_set.add(data[TuneConstant.VARIABLE_KEY])\n                unique_data.append(data)\n        remaining_data = [data for data in dataset if data not in unique_data]\n        sampled_new_data = random.sample(remaining_data, num_to_add)\n        return sampled_new_data + sampled_incorrect_data\n\n    def evaluate(self, prompt, context: Context):\n        \"\"\"evaluate dataset\"\"\"\n        try:\n            accuracy, sampled_incorrect_data = self.evaluator.evaluate(prompt, self.dataset,\n                                                                       context.get(STOP_EVENT))\n        except JiuWenBaseException as e:\n            raise e\n        if not self._check_stop_event(context) or accuracy is None or sampled_incorrect_data is None:\n            return None,None\n        sampled_data = self.resample_examples(sampled_incorrect_data)\n        return accuracy, sampled_data\n\n    def get_task_description(self):\n        \"\"\"get task description\"\"\"\n        prompt = self.prompt_pool.get(\"get_task_description\").format(\n            instruction=self.params.base_instructions\n        )\n        return self.chat_completion(prompt)\n\n    def get_answer_format(self):\n        \"\"\"get answer format\"\"\"\n        prompt = self.prompt_pool.get(\"get_answer_format\").format(\n            instruction=self.params.base_instructions\n        )\n        return self.chat_completion(prompt)\n\n    def init_parameters(self, optimize_info: OptimizeInfo, raw_prompt, context: Context):\n        \"\"\"init parameters\"\"\"\n        self.params.num_iterations = optimize_info.num_iterations\n        self.params.num_examples = optimize_info.num_examples\n        self.params.num_cot_examples = optimize_info.num_cot_examples\n        self.params.placeholders = copy.deepcopy(optimize_info.placeholder)\n        self.params.original_placeholders = copy.deepcopy(optimize_info.placeholder)\n        self.params.base_instructions = raw_prompt[0]\n        self.params.opt_placeholder_names = self.get_optimize_placeholder(self.params.placeholders)\n        self.params.filled_instructions = self.fill_prompt(self.params.base_instructions,\n                                                           self.params.placeholders)\n        self.save_state(context, force_save=True)\n        try:\n            self.params.task_description = self.get_task_description()\n            self.params.answer_format = self.get_answer_format()\n        except JiuWenBaseException as e:\n            raise e\n\n    def prompt_combine(self, instruction: str, example_string=None, cot_example_string=None):\n        \"\"\"prompt combine\"\"\"\n        variable_section = \"\\n\".join([f\"【{key}】: {{{{{key}}}}}\" for key in self.variable])\n\n        prompt_parts = [\n            instruction,\n            f\"\\n## 示例\\n{example_string}\" if example_string else \"\",\n            f\"\\n## 包含思维链示例\\n{cot_example_string}\" if cot_example_string else \"\",\n            f\"\\n{self.params.answer_format.strip()}\" if self.params.answer_format else \"\",\n            f\"\\n\\n用户输入:\\n{variable_section}\" if variable_section else \"\",\n            f\"\\n Output:\"\n        ]\n        return \"\".join(prompt_parts)\n\n    def update_placeholder(self, new_placeholders: List, placeholders_to_update: List):\n        \"\"\"update placeholders\"\"\"\n        if not new_placeholders or not self.params.opt_placeholder_names:\n            return\n        for update_ph in new_placeholders:\n            name = update_ph.get(TuneConstant.NAME_KEY)\n            content = update_ph.get(TuneConstant.MESSAGE_CONTENT_KEY)\n            if not name or not content or name not in self.params.opt_placeholder_names:\n                continue\n            for i, base_ph in enumerate(placeholders_to_update):\n                if name == base_ph.get(TuneConstant.NAME_KEY):\n                    placeholders_to_update[i][TuneConstant.MESSAGE_CONTENT_KEY] = content\n                    break\n\n    def optimize_instruction_by_gradient(self, tools: Optional[List]) -> Tuple[Optional[str], Optional[List]]:\n        \"\"\"optimize instruction by text gradient\"\"\"\n        instruction = self.params.base_instructions\n\n        error_example_string = \"\".join(\n            self.prompt_pool[\"quest_reason_ans_error\"].format(\n                question=get_example_question(example),\n                answer=example.get(TuneConstant.LABEL_KEY, \"\"),\n                predict=example.get(TuneConstant.PREDICT_KEY, \"\"),\n            ) for example in self.sampled_incorrect_data\n        )\n\n        if tools:\n            tool_prefix = TuneConstant.DEFAULT_TOOL_CALL_PROMPT_PREFIX.replace(\n                \"{{APIS_DESCRIPTION}}\", str(tools) if tools else \"None\"\n            )\n            prompt = tool_prefix + instruction\n        else:\n            prompt = instruction\n        prompt_critique_template = self.prompt_pool[\"prompt_critique_template\"].format(\n            instruction=prompt,\n            examples=error_example_string\n        )\n        text_gradient = self.chat_completion(prompt_critique_template)\n        if not self.params.placeholders:\n            prompt_update_result = self.optimize_instruction_without_placeholder(instruction, error_example_string,\n                                                                                 text_gradient, tools)\n            placeholder_update_result = None\n        else:\n            prompt_update_result, placeholder_update_result = self.optimize_instruction_with_placeholder(\n                instruction, error_example_string, text_gradient, tools\n            )\n        return prompt_update_result, placeholder_update_result\n\n    def optimize_instruction_without_placeholder(self, instruction, error_example_string, text_gradient, tools):\n        \"\"\"update instruction\"\"\"\n        optimize_prompt_template = self.prompt_pool[\"optimize_prompt_instruction_template\"]\n        optimize_prompt_template = optimize_prompt_template.replace(\"{{PROMPT_META_TEMPLATE}}\", instruction)\n        optimize_prompt_template = optimize_prompt_template.replace(\"{{ERROR_CASES}}\", error_example_string)\n        optimize_prompt_template = optimize_prompt_template.replace(\"{{REFLECTIONS_ON_ERROR_CASES}}\", text_gradient)\n        optimize_prompt_template = optimize_prompt_template.replace(\"{{API_TOOLS_DESCRIPTION}}\", str(tools) if tools else \"None\")\n        optimized_instruction_response = self.chat_completion(optimize_prompt_template)\n        return self.extract_optimized_prompt_from_response(optimized_instruction_response)\n\n    def optimize_instruction_with_placeholder(self, instruction, error_example_string, text_gradient, tools):\n        \"\"\"update instruction with placeholder\"\"\"\n        # optimize instruction\n        placeholder_content = \"\".join(\n            f\"<{p.get(TuneConstant.NAME_KEY)}>\\n\"\n            f\"{p.get(TuneConstant.MESSAGE_CONTENT_KEY)}\\n\"\n            f\"</{p.get(TuneConstant.NAME_KEY)}>\\n\" for p in self.params.placeholders\n        )\n        placeholder_content += \"\".join(\n            f\"<{v}>\\n{{{{{v}}}}}\\n</{v}>\\n\" for v in self.variable\n        )\n        prompt_critique_template = self.prepare_optimization_template(\n            self.prompt_pool[\"optimize_prompt_instruction_template_with_placeholder\"],\n            instruction, placeholder_content, error_example_string, text_gradient, str(tools) if tools else \"None\"\n        )\n        optimized_instruction_response = self.chat_completion(prompt_critique_template)\n        optimized_instruction = self.extract_optimized_prompt_from_response(optimized_instruction_response)\n\n        # optimize placeholder\n        opt_placeholder_names = str(self.params.opt_placeholder_names) if self.params.opt_placeholder_names else \"\"\n        optimized_placeholder = copy.deepcopy(self.params.placeholders)\n        if not self.params.opt_placeholder_names:\n            return optimized_instruction, optimized_placeholder\n        fixed_placeholders = [p for p in self.params.placeholders\n                              if p.get(TuneConstant.NAME_KEY) not in self.params.opt_placeholder_names]\n        need_opt_placeholders = [p for p in self.params.placeholders\n                                 if p.get(TuneConstant.NAME_KEY) in self.params.opt_placeholder_names]\n        instruction = self.fill_prompt(instruction, fixed_placeholders)\n        placeholder_content = \"\".join(\n            f\"<{p.get(TuneConstant.NAME_KEY)}>\\n\"\n            f\"{p.get(TuneConstant.MESSAGE_CONTENT_KEY)}\\n\"\n            f\"</{p.get(TuneConstant.NAME_KEY)}>\\n\" for p in need_opt_placeholders\n        )\n        placeholder_critique_template = self.prepare_optimization_template(\n            self.prompt_pool[\"optimize_prompt_placeholder_template\"],\n            instruction, placeholder_content, error_example_string, text_gradient, str(tools) if tools else \"None\"\n        )\n        placeholder_critique_template = placeholder_critique_template.replace(\n            \"{{PLACEHOLDER_TO_OPTIMIZE}}\", opt_placeholder_names\n        )\n        updated_placeholders_response = self.chat_completion(placeholder_critique_template)\n        updated_placeholders = self.extract_optimized_placeholder_from_response(updated_placeholders_response)\n        self.update_placeholder(updated_placeholders, optimized_placeholder)\n        return optimized_instruction, optimized_placeholder\n\n    def select_best_examples(self, context: Context) -> List:\n        \"\"\"select best examples\"\"\"\n        if not self._check_stop_event(context) or self.params.num_examples == 0:\n            return []\n\n        try:\n            error_example_string = \"\".join(\n                self.prompt_pool[\"quest_reason_ans\"].format(\n                    question=get_example_question(example),\n                    answer=example.get(TuneConstant.LABEL_KEY, \"\"),\n                ) for example in self.sampled_incorrect_data\n            )\n            gt_example = random.sample(self.dataset, 1)[0]\n            gt_example_string = self.prompt_pool[\"gt_quest_reason_ans\"].format(\n                question=get_example_question(gt_example),\n                answer=gt_example.get(TuneConstant.LABEL_KEY, \"\")\n            )\n            examples_select_template = self.prompt_pool[\"examples_select_template\"].format(\n                gt_example=gt_example_string,\n                task_description=self.params.base_instructions,\n                num_examples=self.params.num_examples,\n                error_examples=error_example_string\n            )\n            response = self.chat_completion(examples_select_template)\n            return self.extract_examples_from_response(response)\n\n        except (KeyError, TypeError, AttributeError, IndexError) as e:\n            logger.warning(f\"Error occur while selecting best examples: {e}\")\n            return []\n\n    def generate_best_reasoning_examples(self, context: Context) -> List:\n        \"\"\"generate best reasoning examples\"\"\"\n        if not self._check_stop_event(context) or self.params.num_cot_examples == 0:\n            return []\n\n        try:\n            examples_string = self._get_example_string(self.params.cot_examples)\n            error_example_string = \"\".join(\n                self.prompt_pool[\"quest_reason_ans_error\"].format(\n                    question=get_example_question(example),\n                    answer=example.get(TuneConstant.LABEL_KEY, \"\"),\n                    predict=example.get(TuneConstant.PREDICT_KEY, \"\")\n                ) for example in self.sampled_incorrect_data\n            )\n\n            examples_critique_template = self.prompt_pool[\"error_examples_critique_template\"].format(\n                examples=examples_string,\n                task_description=self.params.filled_instructions,\n                num_examples=self.params.num_cot_examples,\n                error_examples=error_example_string\n            )\n            response = self.chat_completion(examples_critique_template)\n            examples_optimization_template = self.prompt_pool[\"examples_optimization_template\"].format(\n                examples=examples_string,\n                critique=response,\n                task_description=self.params.filled_instructions,\n                num_examples=self.params.num_cot_examples\n            )\n            response = self.chat_completion(examples_optimization_template)\n            return self.extract_examples_from_response(response)\n        except (KeyError, TypeError, AttributeError) as e:\n            logger.warning(f\"Error occur while generating best reasoning examples: {e}\")\n            return []\n\n    def get_example_reasoning(self, question, answer):\n        \"\"\"get example reason from question and answer\"\"\"\n        try:\n            reasoning_template = self.prompt_pool[\"get_example_reasoning_template\"].format(\n                task_descriotion=self.params.task_description,\n                instruction=self.params.base_instructions,\n                question=question,\n                answer=answer\n            )\n            response = self.chat_completion(reasoning_template)\n            return response\n        except (KeyError, TypeError, AttributeError) as e:\n            logger.warning(f\"Error occur while getting example reason from question: {e}\")\n            return \"\"\n\n    def evaluate_baseline(self, context: Context) -> History:\n        \"\"\"evaluate baseline\"\"\"\n        if not self._check_stop_event(context):\n            raise JiuWenBaseException(StatusCode.PROMPT_OPTIMIZE_EVALUATE_ERROR.code,\n                                      StatusCode.PROMPT_OPTIMIZE_EVALUATE_ERROR.errmsg.format(\n                                          error_msg=\"evaluation baseline stopped\"\n                                      ))\n        prompt = self.fill_prompt(self.params.base_instructions, self.params.placeholders)\n        self.best_accuracy, self.sampled_incorrect_data = self.evaluate(prompt, context)\n        if self.best_accuracy is None or self.sampled_incorrect_data is None:\n            raise JiuWenBaseException(StatusCode.PROMPT_OPTIMIZE_EVALUATE_ERROR.code,\n                                      StatusCode.PROMPT_OPTIMIZE_EVALUATE_ERROR.errmsg.format(\n                                          error_msg=\"evaluation baseline failed\"\n                                      ))\n        return History(optimized_prompt=prompt, iteration_round=0, success_rate=self.best_accuracy)\n\n    def sample_example(self, num_examples: int):\n        \"\"\"sample example\"\"\"\n        dataset = copy.deepcopy(self.dataset)\n        error_cases = self.sampled_incorrect_data\n        if num_examples >= len(dataset):\n            return [{\n                TuneConstant.QUESTION_KEY: get_example_question(data),\n                TuneConstant.LABEL_KEY: data.get(TuneConstant.LABEL_KEY, \"\")\n            } for data in dataset]\n\n        sampled_examples = []\n        if error_cases:\n            num_error_examples = min(num_examples, len(error_cases))\n            sampled_examples.extend(random.sample(error_cases, num_error_examples))\n\n            if len(sampled_examples) < num_examples:\n                num_remaining_examples = num_examples - len(sampled_examples)\n                remaining_examples = [ex for ex in dataset if ex not in sampled_examples]\n                sampled_examples.extend(random.sample(remaining_examples, num_remaining_examples))\n        else:\n            sampled_examples.extend(random.sample(dataset, num_examples))\n\n        return [{\n            TuneConstant.QUESTION_KEY: get_example_question(data),\n            TuneConstant.LABEL_KEY: data.get(TuneConstant.LABEL_KEY, \"\")\n        } for data in sampled_examples]\n\n    def prepare_fewshot_examples(self):\n        \"\"\"prepare fewshot examples\"\"\"\n        self.params.examples = self.sample_example(self.params.num_examples)\n        raw_cot_examples = self.sample_example(self.params.num_cot_examples)\n        if not self.params.cot_examples:\n            return\n        self.params.cot_examples = [\n            {**example,\n             TuneConstant.LABEL_KEY: self.get_example_reasoning(\n                 get_example_question(example), example.get(TuneConstant.LABEL_KEY, \"\")\n             )}\n            for example in raw_cot_examples\n        ]\n\n    def do_optimize(self,\n                    task_info: TaskInfo,\n                    raw_templates: List[str],\n                    optimize_info: OptimizeInfo,\n                    opt_model_info: LLMModelInfo,\n                    infer_model_info: LLMModelInfo\n                    ):\n        \"\"\"do prompt optimization\"\"\"\n        original_prompt = raw_templates[0]\n        infer_model_info = infer_model_info or opt_model_info\n        context = dict(id=task_info.task_id, name=task_info.task_name, desc=task_info.task_description,\n                       create_time=task_info.create_time, run_time=0,\n                       raw_templates=raw_templates, optimize_info=optimize_info,\n                       opt_model_info=opt_model_info, infer_model_info=infer_model_info,\n                       error_msg=\"\", stop_event=threading.Event(), status=TaskStatus.TASK_RUNNING,\n                       history=[], cur_iteration=0, best_accuracy=0.0)\n        ContextManager().set(task_info.task_id, context)\n        try:\n            self._opt_model = LLMModelProcess(opt_model_info)\n            self._infer_model = LLMModelProcess(infer_model_info)\n            result_compare_template = self.prompt_pool[\"result_compare_template\"].replace(\n                \"{user_compare_rules}\", optimize_info.user_compare_rules\n            )\n            self.evaluator = JointEvaluatorWithRef(opt_model_info, infer_model_info,\n                                                   optimize_info, result_compare_template)\n            self.dataset = CaseManager.validate_with_convert([case.model_dump() for case in optimize_info.cases],\n                                                             CaseManager.default_convertor,\n                                                             default_tools=optimize_info.tools)\n            self.variable = self.get_variable_from_dataset(self.dataset, original_prompt)\n            self.validate_placeholder(original_prompt, optimize_info.placeholder)\n            self.init_parameters(optimize_info, raw_templates, context)\n            baseline_history = self.evaluate_baseline(context)\n            for v in self.variable:\n                self.params.base_instructions = self.params.base_instructions.replace(f\"{{{{{v}}}}}\", v)\n            self.params.filled_instructions = self.fill_prompt(self.params.base_instructions, optimize_info.placeholder)\n            self.prepare_fewshot_examples()\n            self.save_state(context, baseline_history)\n            self.optimize_prompt_iteratively(context, 0)\n        except OnStopException:\n            ContextManager().set_context_attr(task_info.task_id, TaskStatus.TASK_STATUS, TaskStatus.TASK_STOPPED)\n            logger.info(f\"Joint optimization task {task_info.task_id} stopped.\")\n            return\n        except Exception as e:\n            context[TaskStatus.TASK_STATUS] = TaskStatus.TASK_FAILED\n            context[\"run_time\"] = calculate_runtime(context.get(\"create_time\", \"\"))\n            checkpoint = ContextManager().get_checkpoint(task_info.task_id) or context\n            error_reason = str(e) if isinstance(e, JiuWenBaseException) else \"other reason\"\n            checkpoint[\"error_msg\"] = f\"Joint optimization task failed, reason: {error_reason}\"\n            checkpoint[\"run_time\"] = calculate_runtime(context.get(\"create_time\", \"\"))\n            checkpoint[TaskStatus.TASK_STATUS] = TaskStatus.TASK_FAILED\n            ContextManager().set_checkpoint(task_info.task_id, checkpoint)\n\n    def continue_optimize(self, task_id: str):\n        \"\"\"continue optimization\"\"\"\n        context = ContextManager().get_checkpoint(task_id)\n        context[\"id\"] = task_id\n        ContextManager().set(task_id, context)\n        run_time = calculate_runtime(context.get(\"create_time\", \"\"))\n        ContextManager().set_context_attr(task_id, TaskStatus.TASK_STATUS, TaskStatus.TASK_RUNNING)\n        ContextManager().set_context_attr(task_id, \"run_time\", run_time)\n        raw_templates: List[str] = context.get(\"raw_templates\", [])\n        optimize_info: OptimizeInfo = context.get(\"optimize_info\", None)\n        opt_model_info: LLMModelInfo = context.get(\"opt_model_info\", None)\n        infer_model_info: LLMModelInfo = context.get(\"infer_model_info\", None)\n        is_loaded = self.load_state(context)\n        if optimize_info is None or not is_loaded:\n            raise JiuWenBaseException(StatusCode.PROMPT_OPTIMIZE_RESTART_TASK_ERROR.code,\n                                      StatusCode.PROMPT_OPTIMIZE_RESTART_TASK_ERROR.errmsg.format(\n                                          error_msg=\"load context failed\"\n                                      ))\n        if self.cur_iteration == 0:\n            return self.do_optimize(\n                TaskInfo(task_id=task_id, task_name=context.get(\"name\"),\n                         task_description=context.get(\"desc\", \"\"), create_time=context.get(\"create_time\", \"\")),\n                raw_templates, optimize_info, opt_model_info, infer_model_info\n            )\n        try:\n            self._opt_model = LLMModelProcess(opt_model_info)\n            self._infer_model = LLMModelProcess(infer_model_info)\n            result_compare_template = self.prompt_pool[\"result_compare_template\"].replace(\n                \"{user_compare_rules}\", optimize_info.user_compare_rules\n            )\n            self.evaluator = JointEvaluatorWithRef(opt_model_info, infer_model_info,\n                                                   optimize_info, result_compare_template)\n\n            self.dataset = CaseManager.validate_with_convert([case.model_dump() for case in optimize_info.cases],\n                                                             CaseManager.default_convertor,\n                                                             default_tools=optimize_info.tools)\n            self.variable = self.get_variable_from_dataset(self.dataset, raw_templates[0])\n            logger.info(f\"Prompt optimization task {task_id} restarted.\")\n            self.optimize_prompt_iteratively(context, self.cur_iteration)\n        except OnStopException:\n            ContextManager().set_context_attr(task_id, TaskStatus.TASK_STATUS, TaskStatus.TASK_STOPPED)\n            logger.info(f\"Joint optimization task {task_id} stopped.\")\n            return\n        except Exception as e:\n            context[TaskStatus.TASK_STATUS] = TaskStatus.TASK_FAILED\n            context[\"run_time\"] = calculate_runtime(context.get(\"create_time\", \"\"))\n            checkpoint = ContextManager().get_checkpoint(task_id) or context\n            error_reason = str(e) if isinstance(e, JiuWenBaseException) else \"other reason\"\n            checkpoint[\"error_msg\"] = f\"Joint optimization task failed, reason: {error_reason}\"\n            checkpoint[\"run_time\"] = calculate_runtime(context.get(\"create_time\", \"\"))\n            checkpoint[TaskStatus.TASK_STATUS] = TaskStatus.TASK_FAILED\n            ContextManager().set_checkpoint(task_id, checkpoint)\n\n    def load_state(self, context: Context):\n        \"\"\"load task state\"\"\"\n        if \"params\" not in context:\n            return False\n        self.params: JointParameters = context.get(\"params\")\n        self.cur_iteration = context.get(\"cur_iteration\", 0)\n        self.best_accuracy = context.get(\"best_accuracy\", 0.0)\n        self.params.filled_instructions = self.fill_prompt(self.params.base_instructions, self.params.placeholders)\n        self.sampled_incorrect_data = context.get(\"sampled_incorrect_data\", [])\n        return True\n\n    def save_state(self, context: Context, history: Optional[History] = None, force_save: bool = False):\n        \"\"\"save task state\"\"\"\n        if not force_save and not self._check_stop_event(context):\n            return\n\n        example_string = self._get_example_string(self.params.examples)\n        cot_example_string = self._get_example_string(self.params.cot_examples)\n        self.params.full_prompt = self.prompt_combine(self.params.filled_instructions,\n                                                      example_string, cot_example_string)\n        context[\"cur_iteration\"] = self.cur_iteration\n        context[\"params\"] = self.params\n        context[\"best_accuracy\"] = self.best_accuracy\n        context[\"sampled_incorrect_data\"] = self.sampled_incorrect_data\n        context[\"run_time\"] = calculate_runtime(context.get(\"create_time\", \"\"))\n        if history:\n            original_placeholder = {}\n            if self.params.original_placeholders:\n                for ph in self.params.original_placeholders:\n                    original_placeholder[ph.get(TuneConstant.NAME_KEY)] = ph.get(TuneConstant.MESSAGE_CONTENT_KEY)\n            history.original_placeholder = original_placeholder\n            context.get(\"history\", []).append(history)\n        task_id = context.get(\"id\")\n        ContextManager().set_checkpoint(task_id, context)\n\n    def optimize_prompt_iteratively(self, context: Context, begin_iteration: int):\n        \"\"\"optimize prompt iteratively\"\"\"\n        logger.info(\"Optimizing prompt instruction and examples iteratively...\")\n        history = None\n        need_optimize_example = self.params.num_examples > 0 or self.params.num_cot_examples > 0\n        for iter in range(begin_iteration, self.params.num_iterations):\n            self.cur_iteration = iter + 1\n            is_optimize_instruction = random.choice([True, False]) if need_optimize_example else True\n            logger.info(f\"Task-{context.get('id')} at iteration {iter} / {self.params.num_iterations} \"\n                        f\"start optimize {'instruction' if is_optimize_instruction else 'examples'}\")\n            if is_optimize_instruction:\n                history = self._optimize_instruction(context)\n            else:\n                history = self._optimize_examples(context)\n\n            if iter < self.params.num_iterations - 1:\n                self.save_state(context, history)\n        context[TaskStatus.TASK_STATUS] = TaskStatus.TASK_FINISHED\n        context[\"run_time\"] = calculate_runtime(context.get(\"create_time\", \"\"))\n        self.save_state(context, history)\n        logger.info(f\"Joint optimization task-{context.get('id')} finished.\")\n\n    def _optimize_instruction(self, context: Context) -> Optional[History]:\n        \"\"\"optimize instruction\"\"\"\n        optimize_info: OptimizeInfo = context.get(\"optimize_info\", None)\n        tools = optimize_info.tools\n        optimized_instruction, optimized_placeholder = self.optimize_instruction_by_gradient(tools)\n        if not optimized_instruction:\n            raise JiuWenBaseException(\n                StatusCode.PROMPT_OPTIMIZE_REFINE_INSTRUCTION_ERROR.code,\n                StatusCode.PROMPT_OPTIMIZE_REFINE_INSTRUCTION_ERROR.errmsg.format(\n                    error_msg=\"optimize instruction failed, get empty result\"\n                )\n            )\n        full_prompt = self._get_full_prompt(optimized_instruction, optimized_placeholder)\n        accuracy, error_cases = self.evaluate(full_prompt, context)\n        if accuracy is None:\n            raise JiuWenBaseException(\n                StatusCode.PROMPT_OPTIMIZE_REFINE_INSTRUCTION_ERROR.code,\n                StatusCode.PROMPT_OPTIMIZE_REFINE_INSTRUCTION_ERROR.errmsg.format(\n                    error_msg=\"failed to get evaluation result\"\n                )\n            )\n        if accuracy > self.best_accuracy:\n            self.sampled_incorrect_data = error_cases\n            self.best_accuracy = accuracy\n            self.params.base_instructions = optimized_instruction\n            self.update_placeholder(optimized_placeholder, self.params.placeholders)\n            self.params.filled_instructions = self.fill_prompt(optimized_instruction, optimized_placeholder)\n            self.params.full_prompt = full_prompt\n        opt_placeholder_dict = {}\n        if optimized_placeholder and self.params.opt_placeholder_names:\n            for p in optimized_placeholder:\n                placeholder_name = p.get(TuneConstant.NAME_KEY)\n                if placeholder_name in self.params.opt_placeholder_names:\n                    opt_placeholder_dict[placeholder_name] = p.get(TuneConstant.MESSAGE_CONTENT_KEY, \"\")\n        return History(optimized_prompt=optimized_instruction,\n                       optimized_placeholder=opt_placeholder_dict,\n                       examples=self._get_examples_string_list(self.params.examples) +\n                                self._get_examples_string_list(self.params.cot_examples),\n                       filled_prompt=full_prompt,\n                       success_rate=accuracy,\n                       iteration_round=self.cur_iteration)\n\n    def _optimize_examples(self, context: Context) -> Optional[History]:\n        \"\"\"optimize examples\"\"\"\n        if self.params.num_examples == 0 and self.params.num_cot_examples == 0:\n            return None\n        selected_examples = []\n        if self.params.num_examples > 0:\n            for _ in range(TuneConstant.DEFAULT_LLM_CALL_RETRY_NUM):\n                selected_examples = self.select_best_examples(context)\n                if selected_examples:\n                    break\n        cot_examples = self.generate_best_reasoning_examples(context)\n        examples_string = self._get_example_string(selected_examples)\n        cot_examples_string = self._get_example_string(cot_examples)\n\n        full_prompt = self.prompt_combine(self.params.filled_instructions, examples_string, cot_examples_string)\n        accuracy, error_cases = self.evaluate(full_prompt, context)\n\n        if accuracy is None:\n            raise JiuWenBaseException(\n                StatusCode.PROMPT_OPTIMIZE_REFINE_INSTRUCTION_ERROR.code,\n                StatusCode.PROMPT_OPTIMIZE_REFINE_INSTRUCTION_ERROR.errmsg.format(\n                    error_msg=\"failed to get evaluation result\"\n                )\n            )\n\n        if accuracy > self.best_accuracy:\n            self.sampled_incorrect_data = error_cases\n            self.best_accuracy = accuracy\n            self.params.examples = selected_examples or []\n            self.params.cot_examples = cot_examples or []\n            self.params.full_prompt = full_prompt\n        return History(optimized_prompt=self.params.base_instructions,\n                       optimized_placeholder=placeholder_to_dict(self.params.placeholders),\n                       examples=self._get_examples_string_list(self.params.examples) +\n                                self._get_examples_string_list(self.params.cot_examples),\n                       filled_prompt=full_prompt,\n                       success_rate=accuracy,\n                       iteration_round=self.cur_iteration)\n\n    def _get_example_string(self, examples: List):\n        \"\"\"get example string\"\"\"\n        if not examples:\n            return \"\"\n        return \"\\n\".join(self._get_examples_string_list(examples))\n\n    def _get_examples_string_list(self, examples: List) -> List[str]:\n        \"\"\"get example string list\"\"\"\n        if not examples:\n            return []\n        example_string_template = self.prompt_pool[\"quest_reason_ans\"]\n        example_string_list = []\n        for i, example in enumerate(examples):\n            formated_example_string = example_string_template.format(\n                question=get_example_question(example),\n                answer=example.get(TuneConstant.LABEL_KEY, \"\")\n            )\n            example_string_list.append(f\"示例{i + 1}:\\n{formated_example_string}\")\n        return example_string_list\n\n    def _get_full_prompt(self, instruction, placeholders):\n        \"\"\"get full prompt\"\"\"\n        filled_instruction = self.fill_prompt(instruction, placeholders)\n        example_string = self._get_example_string(self.params.examples)\n        cot_example_string = self._get_example_string(self.params.cot_examples)\n        full_prompt = self.prompt_combine(filled_instruction, example_string, cot_example_string)\n        return full_prompt"
  },
  {
    "path": "experimental/tune/joint_prompt_pool.yaml",
    "content": "quest_reason_ans: |\n  [query]: {question}\n  [assistant answer]: {answer}\n  ===\n\ngt_quest_reason_ans: |\n  [query]: {question}\n  [assistant answer]: {answer}\n\nquest_reason_ans_error: |\n  [query]: {question}\n  [expected answer]: {answer}\n  [assistant answer]: {predict}\n  ===\n\nprompt_critique_template: |\n  作为提示词优化专家，我的目标是帮助代理高效且成功地完成任务\n  当前的提示词是：“{instruction}”\n  然而，这个提示词在以下实例中并未能给出正确的结果：“{examples}”\n  请提供详细的反馈，分析指令可能出错的原因。\n  针对每个实例，具体说明指令中的问题，解释代理为何会误解指令，并提出如何让指令更加清晰和精确的建议\n  每个反馈信息请用<INS>和</INS>包裹\n\noptimize_prompt_instruction_template: |\n  你是一位提示词优化专家，你的任务是根据提供的信息对提示词进行优化。具体信息如下：\n  首先，请阅读以下提示词：\n  <prompt_base>\n  {{PROMPT_META_TEMPLATE}}\n  </prompt_base>\n  \n  你拥有的工具或API说明如下：\n  <tools_description>\n  {{API_TOOLS_DESCRIPTION}}\n  </tools_description>\n  \n  提示词在应用的过程中出现的错误case如下：\n  <error_case>\n  {{ERROR_CASES}}\n  </error_case>\n  \n  对这些错误case的反思如下：\n  <reflections_on_error_cases>\n  {{REFLECTIONS_ON_ERROR_CASES}}\n  </reflections_on_error_cases>\n  \n  在优化提示词模板时，请遵循如下要求：\n  1. 在`<思考>`标签中，请根据错误示例及其对应的反思内容，深入、全面地分析提示词中可能导致错误的部分。分析应覆盖：错误原因的识别、原始提示词中存在的问题，以及通过哪些具体修改可以有效规避这些问题。\n  2. 在`<PROMPT_OPTIMIZED>`标签中，基于上述分析，输出优化后的提示词版本。\n  3. 分析过程中应聚焦于问题的具体成因，结合模板结构、语意表达和格式规范等方面，系统性地进行优化。\n  4. 优化过程中务必信息表达完整、逻辑侵袭，不可遗漏重要内容或引入模糊表达\n  5. 不可直接使用给定的示例，也不要在提示词中加入示例中的具体信息，可以通过抽象、改写的方式总结\n  \n  输出格式：\n  <思考>\n  [在此详细说明你对提示词的优化分析]\n  </思考>\n  <PROMPT_OPTIMIZED>\n  [在此输出优化后的提示词]\n  </PROMPT_OPTIMIZED>\n  请确保优化后的内容能够有效避免之前出现的错误case。\n\noptimize_prompt_instruction_template_with_placeholder: |\n  你是一位提示词优化专家，你的任务是根据提供的信息对提示词进行优化。具体信息如下：\n  你拥有的工具或API说明如下：\n  <tools_description>\n  {{API_TOOLS_DESCRIPTION}}\n  </tools_description>\n\n  以下是提示词中出现的占位符名称以及对应内容：\n  <placeholder_content>\n  {{PLACEHOLDER_CONTENTS}}\n  </placeholder_content>\n  \n  提示词在应用的过程中出现的错误case如下：\n  <error_case>\n  {{ERROR_CASES}}\n  </error_case>\n  \n  以下是对这些错误case的反思：\n  <reflections_on_error_cases>\n  {{REFLECTIONS_ON_ERROR_CASES}}\n  </reflections_on_error_cases>\n  \n  以下是待优化的提示词模板，注意模板内容边界从<prompt_base>开始，到</prompt_base>结束：\n  <prompt_base>\n  {{PROMPT_META_TEMPLATE}}\n  </prompt_base>\n  \n  在优化提示词时，请遵循以下要求：\n  1. 在`<思考>`标签中，请根据错误示例及其对应的反思内容，深入、全面地分析提示词中可能导致错误的部分。分析应覆盖：错误原因的识别、原始提示词中存在的问题，以及通过哪些具体修改可以有效规避这些问题。\n  2. 在`<PROMPT_OPTIMIZED>`标签中，基于上述分析，输出优化后的提示词版本。\n  3. 分析过程中应聚焦于问题的具体成因，结合模板结构、语意表达和格式规范等方面，系统性地进行优化。\n  4. 优化过程中务必信息表达完整、逻辑侵袭，不可遗漏重要内容或引入模糊表达\n  5. 【重要】优化后的模板不能丢弃任何原有的占位符信息，务必保留占位符的双花括号\n  \n  输出格式：\n  <PROMPT_OPTIMIZED>\n  [在此输出优化后的提示词]\n  </PROMPT_OPTIMIZED>\n  请确保优化后的内容能够有效避免之前出现的错误case。\n\noptimize_prompt_placeholder_template: |\n  你是一位提示词优化专家，你的任务是根据提供的信息对指定占位符进行优化，优化后的占位符内容应详细具体，包含参数描述、注意事项等\n  \n  优化要求如下：\n  严格根据需要优化的占位符列表进行优化。不需要优化的占位符则保持不变。\n  优化结果格式：每个占位符需要用<xxx>、</xxx>包裹，xxx代表占位符的名称或key\n\n  以下是带占位符的提示词模板，注意模板内容边界从<prompt_base>开始，到</prompt_base>结束：\n  <prompt_base>\n  {{PROMPT_META_TEMPLATE}}\n  </prompt_base>\n\n  你拥有的工具或API说明如下：\n  <tools_description>\n  {{API_TOOLS_DESCRIPTION}}\n  </tools_description>\n\n  以下是提示词中出现的占位符名称以及对应内容：\n  <placeholder_content>\n  {{PLACEHOLDER_CONTENTS}}\n  </placeholder_content>\n  \n  以下是需要优化的占位符：\n  <placeholder_to_optimize>\n  {{PLACEHOLDER_TO_OPTIMIZE}}\n  </placeholder_to_optimize>\n  \n  提示词在应用的过程中出现的错误case如下：\n  <error_case>\n  {{ERROR_CASES}}\n  </error_case>\n  \n  以下是对这些错误case的反思：\n  <reflections_on_error_cases>\n  {{REFLECTIONS_ON_ERROR_CASES}}\n  </reflections_on_error_cases>\n  \n  请按照以下要求对占位符进行优化：\n  1. 仔细分析错误case和对其的反思、明确要改进的方向\n  2. 结合prompt模板和占位符对应内容，考虑占位符在整个提示词中的作用\n  3. 根据以上分析，对需要优化的占位符进行详细、具体的优化，包含参数描述，注意事项等。\n  \n  输出格式：\n  <PLACEHOLDER_OPTIMIZED>\n  [在此输出优化后的占位符及其对应内容，例如<xxx></xxx>]\n  </PLACEHOLDER_OPTIMIZED>\n  请确保优化后的内容能够有效避免之前出现的错误case。\n\nerror_examples_critique_template: |\n  作为提示词优化专家，你的目标是帮助代理高效且成功地完成任务。\n  当前任务的描述：\n  [任务描述]：{task_description}\n  尝试通过使用{num_examples}个具备思维链的示例，编写一个有效的提示词，以解决上述任务中的任何问题。\n  我当前的{num_examples}个思维链示例是：{examples}\n  请从示例的多样性、复杂性以及与整个示例集的相关性、兼容性角度分析、理解以上任务示例。\n  但这个提示词在以下示例中得出了错误的结果：{error_examples}\n  请通过反思这些错误的原因，提出修正建议，以提高示例集的有效性。\n  输出所有可以改进的建议，帮助优化每个示例和整个示例选择集。\n\nexamples_optimization_template: |\n  作为提示词优化专家，我的任务是帮助代理高效且成功地完成任务。\n  当前任务描述：\n  [任务描述]：{task_description}\n  我正在尝试通过使用{num_examples}个具备思维链的示例，编写一个有效的提示词，以解决上述任务中的任何问题。\n  我当前的{num_examples}个思维链示例是：{examples}\n  此外，我还有一组针对示例的建议/改进意见，以帮助每个示例和示例选择集。\n  [建议/改进]：{critique}\n  请根据上述信息，巧妙且认真地运用所有信息，精心创建一个新的示例集，要求示例数量严格为{num_examples}个，确保遵循这些建议和改进。\n  请确保每个示例都用<INS>和</INS>包裹。\n  \n  新的示例应遵循以下格式：\n  [query]:紧随其后的为示例中的问题部分\n  [assistant answer]: 紧随其后的为与答案相关的所有逻辑推理步骤，包含最终答案。\n  \n  请确保每个示例都用<INS>和</INS>包裹。\n  [以下是新生成的{num_examples}个示例]\n\nexamples_select_template: |\n  作为提示词优化专家，我的任务是帮助代理高效且成功地完成任务。\n  当前任务描述：\n  [任务描述]：{task_description}\n  请从以下做错的数据中选择最具代表性的{num_examples}个示例，以解决上述任务中的任何问题。\n  当前的错误示例集是：{error_examples}\n  请确保每个示例都用<INS>和</INS>包裹。\n  \n  例如:\n  <INS>{gt_example}</INS>\n  \n  [选择示例]\n\nget_example_reasoning_template: |\n  你将获得一个任务描述和指令，后面跟着一组任务的正确示例。\n  [任务描述]：{task_description}\n  [指令]：{instruction}\n  示例包含一个问题，标记为问题[问题]和最终答案[答案]\n  [问题]：{question}\n  [答案]：{answer}\n  请根据任务描述和示例，生产一个简洁明了的思维链。\n  思维链应包含关键步骤，展示出正确答案的核心逻辑，最后给出最终结果。\n  确保每个步骤简洁且易于理解，避免过多细节。\n  \n  思维链：\n\nget_task_description: |\n  [提示词]：{instruction}\n  请简明扼要地总结以上提示词的任务，精炼其核心目标和要点，确保信息简洁、清晰。\n\nget_answer_format: |\n  [提示词]：{instruction}\n  根据给定提示词，用一句话总结用户要求的输出格式，不包含“用户要求的输出格式”这类似的前缀。请简洁明了地表述。\n\nresult_compare_template: |\n  你是一个答案校验专家，负责校验给定的用户答案和标准答案之间的含义和结论一致性。请根据以下标准判断用户答案是否与标准答案的含义和结论一致。\n  \n  - 如果用户答案和标准答案含义一致，返回`true`。\n  - 如果用户答案和标准答案含义不一致，返回`false`。\n  - 注意区分对话和工具调用，两者通常不能按语意判断为一致\n  - 结合用户问题和标准答案，简要分析用户答案和标准答案不一致的理由\n  \n  以下是用户补充的自定义校验规则，如果与上述规则冲突，则优先遵从用户自定义规则，请严格遵守：\n  {user_compare_rules}\n  \n  输出JSON格式：\n  ```json\n  {{\n    “result”: true/false,\n    \"reason\": \"校验理由\"\n  }}\n  ```\n  \n  [问题]：{question}\n  \n  以下是需要比对的用户答案和标准答案：\n  [标准答案]：{actual_answer}\n  \n  [用户答案]：{answer_match}\n  \n  请校验并返回结果："
  },
  {
    "path": "frontend/.eslintrc.json",
    "content": "{\n  \"extends\": [\"next/core-web-vitals\", \"next/typescript\", \"prettier\"],\n  \"plugins\": [\"prettier\"],\n  \"rules\": {\n    \"prettier/prettier\": \"error\"\n  }\n}\n"
  },
  {
    "path": "frontend/.gitignore",
    "content": "# See https://help.github.com/articles/ignoring-files/ for more about ignoring files.\n\n# dependencies\n/node_modules\n\n# next.js\n/.next/\n/out/\n\n# production\n/build\n\n# debug\nnpm-debug.log*\nyarn-debug.log*\nyarn-error.log*\n.pnpm-debug.log*\npnpm-lock.yaml\n\n# env files\n.env*\n\n# vercel\n.vercel\n\n# typescript\n*.tsbuildinfo\nnext-env.d.ts\n\npackage-lock.json\n\n.idea\n\n*.DS_Store\n\nnexent-dist/"
  },
  {
    "path": "frontend/.prettierignore",
    "content": "# Dependencies\nnode_modules/\n\n# Build outputs\n.next/\nout/\ndist/\nbuild/\n\n# Environment files\n.env*\n\n# Logs\n*.log\n\n# Package manager files\npackage-lock.json\nyarn.lock\npnpm-lock.yaml\n\n# IDE files\n.vscode/\n.idea/\n\n# OS files\n.DS_Store\nThumbs.db\n\n# Generated files\n*.d.ts\n!src/**/*.d.ts\n\n# Public assets (usually don't need formatting)\npublic/\n\n# Config files that should maintain specific formatting\ntailwind.config.*\nnext.config.*\npostcss.config.*"
  },
  {
    "path": "frontend/.prettierrc",
    "content": "{\n  \"semi\": true,\n  \"trailingComma\": \"es5\",\n  \"singleQuote\": false,\n  \"printWidth\": 80,\n  \"tabWidth\": 2,\n  \"useTabs\": false,\n  \"bracketSpacing\": true,\n  \"bracketSameLine\": false,\n  \"arrowParens\": \"always\",\n  \"endOfLine\": \"auto\",\n  \"jsxSingleQuote\": false,\n  \"htmlWhitespaceSensitivity\": \"css\",\n  \"proseWrap\": \"preserve\",\n  \"quoteProps\": \"as-needed\"\n}\n"
  },
  {
    "path": "frontend/app/[locale]/agents/AgentVersionCard.tsx",
    "content": "\"use client\";\nimport { useMemo, useState } from \"react\";\nimport {\n  CheckCircle,\n  Archive,\n  Clock,\n  ChevronDown,\n  ChevronRight,\n  Rocket,\n  RotateCcw,\n  Eye,\n  Wrench,\n  Network,\n  AlertTriangle,\n  EllipsisVertical,\n  Trash2,\n  ArchiveRestore,\n  Edit\n} from \"lucide-react\";\nimport { useTranslation } from \"react-i18next\";\nimport {\n  Flex,\n  Button,\n  Tag,\n  Typography,\n  Card,\n  Descriptions,\n  DescriptionsProps,\n  Modal,\n  Dropdown,\n  Tooltip,\n  theme\n} from \"antd\";\nimport { ExclamationCircleFilled } from '@ant-design/icons';\n\nconst { useToken } = theme;\nimport type { AgentVersion, Agent as AgentVersionAgent, ToolInstance, AgentVersionDetail, VersionCompareResponse } from \"@/services/agentVersionService\";\nimport type { Agent, Tool } from \"@/types/agentConfig\";\nimport { useToolList } from \"@/hooks/agent/useToolList\";\nimport { useAgentList } from \"@/hooks/agent/useAgentList\";\nimport { useAgentVersionList } from \"@/hooks/agent/useAgentVersionList\";\nimport { useAgentInfo } from \"@/hooks/agent/useAgentInfo\";\nimport { useAgentVersionDetail } from \"@/hooks/agent/useAgentVersionDetail\";\nimport { rollbackVersion, compareVersions, deleteVersion } from \"@/services/agentVersionService\";\nimport { useAuthorizationContext } from \"@/components/providers/AuthorizationProvider\";\nimport log from \"@/lib/logger\";\nimport { message } from \"antd\";\nimport { useQueryClient } from \"@tanstack/react-query\";\nimport AgentVersionCompareModal from \"./versions/AgentVersionCompareModal\";\nimport AgentVersionPubulishModal from \"./versions/AgentVersionPubulishModal\";\n\nconst { Text } = Typography;\n\nconst formatter = new Intl.DateTimeFormat(\"zh-CN\", {\n  year: \"numeric\",\n  month: \"2-digit\",\n  day: \"2-digit\",\n  hour: \"2-digit\",\n  minute: \"2-digit\",\n  second: \"2-digit\",\n  hour12: false,\n});\n\n/**\n * Format UTC time string from backend to local time string based on user timezone\n */\nfunction formatUtcToLocal(dateTimeStr?: string | null) {\n  if (!dateTimeStr) {\n    return \"\";\n  }\n\n  // Detect whether the string already contains timezone information\n  const hasTimezone = /[zZ]|[+\\-]\\d{2}:?\\d{2}$/.test(dateTimeStr);\n\n  let date: Date;\n  if (hasTimezone) {\n    // If timezone exists, use as is\n    date = new Date(dateTimeStr);\n  } else {\n    // Treat as UTC time from database, convert to local time\n    // Normalize space-separated format like \"2025-02-25 08:00:00\"\n    const normalized = dateTimeStr.replace(\" \", \"T\");\n    date = new Date(`${normalized}Z`);\n  }\n\n  return formatter.format(date);\n}\n\n/**\n * Get status configuration based on isCurrentVersion flag\n */\nfunction getStatusConfig(isCurrentVersion: boolean) {\n  if (isCurrentVersion) {\n    return {\n      color: \"green\",\n      icon: (\n        <div className=\"w-8 h-8 rounded-full bg-green-50 flex items-center justify-center\">\n          <CheckCircle className=\"text-green-500\" size={16} />\n        </div>\n      ),\n      labelKey: \"agent.version.currentVersion\",\n    };\n  }\n\n  return {\n    color: \"default\",\n    icon: (\n      <div className=\"w-8 h-8 rounded-full bg-gray-100 flex items-center justify-center\">\n        <Archive className=\"text-gray-400\" size={16} />\n      </div>\n    ),\n    labelKey: \"\",\n  };\n}\n\n/**\n * Version card item component\n */\nexport function VersionCardItem({\n  version,\n  agentId,\n  currentVersionNo,\n}: {\n  version: AgentVersion;\n  agentId: number;\n  currentVersionNo?: number;\n}) {\n  // Calculate isCurrentVersion based on version.version_no and currentVersionNo\n  const isCurrentVersion = currentVersionNo === version.version_no;\n  const statusConfig = getStatusConfig(isCurrentVersion);\n  const { t } = useTranslation(\"common\");\n\n  // Local expanded state for this version card\n  const [isExpanded, setIsExpanded] = useState(false);\n\n  // Get user context for tenantId\n  const { user } = useAuthorizationContext();\n  const queryClient = useQueryClient();\n\n  // Get invalidate functions for refreshing data\n  const { agentVersionList, invalidate: invalidateAgentVersionList } = useAgentVersionList(agentId);\n  const { invalidate: invalidateAgentInfo } = useAgentInfo(agentId);\n\n  // Fetch version detail when expanded\n  const { agentVersionDetail } = useAgentVersionDetail(\n    agentId,\n    isExpanded ? version.version_no : null\n  );\n\n  const { tools: toolList } = useToolList();\n  const { agents: agentList } = useAgentList(user?.tenantId ?? null);\n\n  // Get current agent's permission from agent list\n  const currentAgent = useMemo(() => {\n    return agentList.find((a: Agent) => a.id === String(agentId));\n  }, [agentList, agentId]);\n\n  const isReadOnly = currentAgent?.permission === \"READ_ONLY\";\n\n  // Modal state\n  const [compareModalOpen, setCompareModalOpen] = useState(false);\n  const [deleteModalOpen, setDeleteModalOpen] = useState(false);\n  const [editModalOpen, setEditModalOpen] = useState(false);\n  const [loading, setLoading] = useState(false);\n  const [rollbackLoading, setRollbackLoading] = useState(false);\n  const [deleteLoading, setDeleteLoading] = useState(false);\n  const [compareData, setCompareData] = useState<VersionCompareResponse | null>(null);\n  const [selectedVersionNoA, setSelectedVersionNoA] = useState<number | null>(null);\n  const [selectedVersionNoB, setSelectedVersionNoB] = useState<number | null>(null);\n\n  // Get theme token for styling\n  const { token } = theme.useToken();\n\n  // Generate display date from version data (convert from UTC to local time)\n  const displayDate = useMemo(() => {\n    return formatUtcToLocal(version.create_time);\n  }, [version.create_time]);\n\n  /**\n   * Handle rollback button click - show comparison modal\n   */\n  const handleRollbackClick = async () => {\n    if (!agentId || agentId === 0) {\n      message.error(t(\"agent.error.agentNotFound\"));\n      return;\n    }\n    const versionNoA = currentVersionNo || 0;\n    const versionNoB = version.version_no;\n    setSelectedVersionNoA(versionNoA);\n    setSelectedVersionNoB(versionNoB);\n    setCompareModalOpen(true);\n    await loadComparison(versionNoA, versionNoB);\n  };\n\n  /**\n   * Load version comparison data between current version and selected version\n   */\n  const loadComparison = async (versionNoA: number, versionNoB: number) => {\n    setLoading(true);\n    try {\n      const result = await compareVersions(agentId, versionNoA, versionNoB);\n      setCompareData(result);\n    } catch (error) {\n      log.error(\"Failed to load version comparison:\", error);\n      message.error(t(\"agent.version.compareError\"));\n    } finally {\n      setLoading(false);\n    }\n  };\n\n  const handleChangeVersionA = async (value: number) => {\n    setSelectedVersionNoA(value);\n    if (!selectedVersionNoB) {\n      return;\n    }\n    if (value === selectedVersionNoB) {\n      message.warning(t(\"agent.version.selectDifferentVersions\"));\n      return;\n    }\n    await loadComparison(value, selectedVersionNoB);\n  };\n\n  const handleChangeVersionB = async (value: number) => {\n    setSelectedVersionNoB(value);\n    if (!selectedVersionNoA) {\n      return;\n    }\n    if (value === selectedVersionNoA) {\n      message.warning(t(\"agent.version.selectDifferentVersions\"));\n      return;\n    }\n    await loadComparison(selectedVersionNoA, value);\n  };\n\n  /**\n   * Handle rollback confirmation\n   * Rollback updates current_version_no to point to the target version\n   * The user can then click publish to create an actual new version\n   */\n  const handleRollbackConfirm = async () => {\n    setRollbackLoading(true);\n    try {\n      const result = await rollbackVersion(agentId, version.version_no);\n\n      if (result.success) {\n        message.success(t(\"agent.version.rollbackSuccess\"));\n        setCompareModalOpen(false);\n        invalidateAgentVersionList?.();\n        invalidateAgentInfo?.();\n        queryClient.invalidateQueries({ queryKey: [\"agents\"] });\n      } else {\n        message.error(result.message || t(\"agent.version.rollbackError\"));\n      }\n    } catch (error) {\n      log.error(\"Failed to rollback version:\", error);\n      message.error(t(\"agent.version.rollbackError\"));\n    } finally {\n      setRollbackLoading(false);\n    }\n  };\n\n  /**\n   * Handle delete version button click - show confirmation modal\n   */\n  const handleDeleteClick = () => {\n    if (!agentId || agentId === 0) {\n      message.error(t(\"agent.error.agentNotFound\"));\n      return;\n    }\n    setDeleteModalOpen(true);\n  };\n\n  /**\n   * Handle delete confirmation - actually delete the version\n   */\n  const handleDeleteConfirm = async () => {\n    setDeleteLoading(true);\n    try {\n      const result = await deleteVersion(agentId, version.version_no);\n\n      if (result.success) {\n        message.success(t(\"agent.version.deleteSuccess\"));\n        setDeleteModalOpen(false);\n        invalidateAgentVersionList?.();\n        invalidateAgentInfo?.();\n        queryClient.invalidateQueries({ queryKey: [\"agents\"] });\n      } else {\n        message.error(result.message || t(\"agent.version.deleteError\"));\n      }\n    } catch (error) {\n      log.error(\"Failed to delete version:\", error);\n      message.error(t(\"agent.version.deleteError\"));\n    } finally {\n      setDeleteLoading(false);\n    }\n  };\n\n  const agentConfigurationItems: DescriptionsProps['items'] = [\n    {\n      key: '1',\n      label: t(\"agent.version.field.name\"),\n      children: <span>{agentVersionDetail?.name}</span>,\n    },\n    {\n      key: '2',\n      label: t(\"agent.version.field.modelName\"),\n      children: <span>{agentVersionDetail?.model_name}</span>,\n    },\n  ];\n\n  return (\n    <div className=\"pb-6 last:pb-0\">\n      <Card\n        className={`w-full transition-all duration-200 ${isExpanded ? \"ring-2 ring-blue-100\" : \"\"} ${isCurrentVersion ? \"border border-green-400\" : \"\"}`}\n        styles={{ body: { padding: \"12px 16px\" } }}\n        size=\"small\"\n      >\n        <Flex className=\"h-full\" gap={12}>\n          {/* Left: Status icon with timeline */}\n          <Flex align=\"center\" justify=\"center\" vertical className=\"flex-shrink-0\">\n            <Flex align=\"center\" justify=\"center\" className=\"flex-shrink-0\">\n              {statusConfig.icon}\n            </Flex>\n            <div className=\"w-px h-full bg-gray-200\" />\n          </Flex>\n\n          {/* Middle: Version info */}\n          <Flex\n            vertical\n            gap={4}\n            className=\"flex-1 min-w-0\"\n          >\n            <Flex align=\"center\" gap={8}>\n              <Text strong className=\"text-base\">\n                {version.version_name || `V${version.version_no}`}\n              </Text>\n              <Tag color={statusConfig.color} className=\"m-0\">\n                {t(statusConfig.labelKey)}\n              </Tag>\n            </Flex>\n\n            <Flex align=\"center\" gap={12} className=\"text-gray-500 text-xs\">\n              <Flex align=\"center\" gap={4}>\n                <Clock size={12} />\n                <Text type=\"secondary\" className=\"text-xs\">\n                  {displayDate}\n                </Text>\n              </Flex>\n\n            </Flex>\n\n            {version.release_note && (\n              <Text\n                type=\"secondary\"\n                className=\"text-sm mt-1 line-clamp-2\"\n                ellipsis={{ tooltip: version.release_note }}\n              >\n                {version.release_note}\n              </Text>\n            )}\n          </Flex>\n\n          {/* Right: Actions */}\n          <Flex align=\"start\" justify=\"center\" gap={8} className=\"flex-shrink-0\">\n            <Button\n              type=\"text\"\n              size=\"small\"\n              icon={isExpanded ? <ChevronDown size={18} /> : <ChevronRight size={18} />}\n              onClick={() => setIsExpanded(!isExpanded)}\n              className=\"text-gray-400 hover:text-gray-600\"\n            />\n            <Dropdown\n              menu={{\n                items: [\n                  {\n                    key: 'edit',\n                    label: isReadOnly ? (\n                      <Tooltip title={t(\"agent.noEditPermission\")}>\n                        <span>{t(\"common.edit\")}</span>\n                      </Tooltip>\n                    ) : (\n                      t(\"common.edit\")\n                    ),\n                    icon: <Edit size={14} />,\n                    disabled: isReadOnly,\n                    onClick: () => setEditModalOpen(true)\n                  },\n                  {\n                    key: 'rollback',\n                    label: isReadOnly ? (\n                      <Tooltip title={t(\"agent.noEditPermission\")}>\n                        <span>{t(\"agent.version.rollback\")}</span>\n                      </Tooltip>\n                    ) : (\n                      t(\"agent.version.rollback\")\n                    ),\n                    icon: <RotateCcw size={14} />,\n                    disabled: isReadOnly || isCurrentVersion || version.status.toLowerCase() === \"disabled\",\n                    onClick: handleRollbackClick\n                  },\n                  {\n                    type: 'divider',\n                  },\n                  {\n                    key: 'delete',\n                    label: isReadOnly ? (\n                      <Tooltip title={t(\"agent.noEditPermission\")}>\n                        <span>{t(\"common.delete\")}</span>\n                      </Tooltip>\n                    ) : (\n                      t(\"common.delete\")\n                    ),\n                    icon: <Trash2 size={14} />,\n                    disabled: isReadOnly || isCurrentVersion,\n                    danger: true,\n                    onClick: handleDeleteClick,\n                  },\n                ],\n              }}\n              trigger={['click']}\n            >\n              <Button\n                type=\"text\"\n                size=\"small\"\n                icon={<EllipsisVertical size={18} />}\n                className=\"text-gray-400 hover:text-gray-600\"\n              />\n            </Dropdown>\n          </Flex>\n\n        </Flex>\n\n        {/* Expanded content */}\n        {isExpanded && (\n          <div className=\"mt-4 pt-4 border-t border-gray-100\">\n            <Flex vertical gap={16}>\n\n              <Descriptions\n                title={\n                  <Flex align=\"center\" gap={8}>\n                    <Eye size={14} className=\"text-blue-500\" />\n                    <span className=\"text-sm\">{t(\"agent.version.configuration\")}</span>\n                  </Flex>\n                }\n                items={agentConfigurationItems}\n                classNames={{ header: \"!mb-2\" }}\n                column={1}\n                className=\"[&_.ant-descriptions-item]:!pb-0\"\n              />\n\n              {/* Tools detail */}\n              {agentVersionDetail?.tools && agentVersionDetail.tools.length > 0 && (\n                <Descriptions\n                  title={\n                    <Flex align=\"center\" gap={8}>\n                      <Wrench size={14} className=\"text-blue-500\" />\n                      <span className=\"text-sm\">{t(\"agent.version.tools\")}</span>\n                    </Flex>\n                  }\n                  items={[\n                    {\n                      key: '1',\n                      children: (\n                        <Flex wrap gap={6}>\n                          {agentVersionDetail.tools.map((tool) => {\n                            const fullTool = toolList.find((t: Tool) => t.id === String(tool.tool_id));\n                            return (\n                              <Tag key={tool.tool_id} color=\"blue\">\n                                {fullTool?.name}\n                              </Tag>\n                            );\n                          })}\n                        </Flex>\n                      ),\n                    },\n                  ]}\n                  classNames={{ header: \"!mb-2\" }}\n                  className=\"[&_.ant-descriptions-item]:!pb-0\"\n                />\n              )}\n\n\n              {/* Related agents detail */}\n              {agentVersionDetail?.sub_agent_id_list && agentVersionDetail.sub_agent_id_list.length > 0 && (\n                <Descriptions\n                  title={\n                    <Flex align=\"center\" gap={8}>\n                      <Network size={14} className=\"text-blue-500\" />\n                      <span className=\"text-sm\">{t(\"agent.version.relatedAgents\")}</span>\n                    </Flex>\n                  }\n                  items={[\n                    {\n                      key: '1',\n                      children: (\n                        <Flex wrap gap={6}>\n                          {agentVersionDetail.sub_agent_id_list.map((subAgentId) => {\n                            const subAgent = agentList.find((a: Agent) => a.id === String(subAgentId));\n                            return (\n                              <Tag key={subAgentId} color=\"purple\">\n                                {subAgent?.display_name || subAgent?.name || `Agent ${subAgentId}`}\n                              </Tag>\n                            );\n                          })}\n                        </Flex>\n                      ),\n                    },\n                  ]}\n                  classNames={{ header: \"!mb-2\" }}\n                  className=\"[&_.ant-descriptions-item]:!pb-0\"\n                />\n              )}\n            </Flex>\n          </div>\n        )}\n      </Card>\n\n      <AgentVersionCompareModal\n        open={compareModalOpen}\n        loading={loading}\n        versionList={agentVersionList || []}\n        currentVersionNo={currentVersionNo}\n        compareData={compareData}\n        onCancel={() => setCompareModalOpen(false)}\n        showRollback\n        rollbackLoading={rollbackLoading}\n        onRollbackConfirm={handleRollbackConfirm}\n        selectedVersionNoA={selectedVersionNoA}\n        selectedVersionNoB={selectedVersionNoB}\n        onChangeVersionA={handleChangeVersionA}\n        onChangeVersionB={handleChangeVersionB}\n      />\n\n      {/* Delete Version Confirmation Modal */}\n      <Modal\n        title={t(\"agent.version.deleteConfirmTitle\")}\n        open={deleteModalOpen}\n        onCancel={() => setDeleteModalOpen(false)}\n        footer={[\n          <Button key=\"cancel\" onClick={() => setDeleteModalOpen(false)}>\n            {t(\"common.cancel\")}\n          </Button>,\n          <Button\n            key=\"confirm\"\n            type=\"primary\"\n            danger\n            icon={<Trash2 size={14} />}\n            loading={deleteLoading}\n            onClick={handleDeleteConfirm}\n          >\n            {t(\"common.delete\")}\n          </Button>,\n        ]}\n        centered\n      >\n        <Flex align=\"start\" gap={12}>\n          <div className=\"mt-1\">\n            <ExclamationCircleFilled style={{ color: token.colorWarning, fontSize: '22px' }} />\n          </div>\n          <div>\n            <div className=\"font-medium mb-2\">\n              {t(\"agent.version.deleteConfirmContent\", { versionName: version.version_name || `V${version.version_no}` })}\n            </div>\n            <div className=\"text-sm text-gray-500\">\n              {t(\"agent.version.deleteWarning\")}\n            </div>\n          </div>\n        </Flex>\n      </Modal>\n\n      {/* Edit Version Modal */}\n      <AgentVersionPubulishModal\n        open={editModalOpen}\n        onClose={() => setEditModalOpen(false)}\n        agentId={agentId}\n        versionNo={version.version_no}\n        isEdit={true}\n        initialValues={{\n          version_name: version.version_name,\n          release_note: version.release_note,\n        }}\n        onUpdated={() => {\n          // Refresh version list using the proper invalidate function\n          invalidateAgentVersionList();\n        }}\n      />\n    </div>\n  );\n}\n"
  },
  {
    "path": "frontend/app/[locale]/agents/AgentVersionManage.tsx",
    "content": "\"use client\";\nimport { useState } from \"react\";\nimport { GitBranch, GitCompare, Rocket } from \"lucide-react\";\nimport { useTranslation } from \"react-i18next\";\nimport { Card, Flex, Button, Tag, Empty, Spin, message } from \"antd\";\nimport { useAgentVersionList } from \"@/hooks/agent/useAgentVersionList\";\nimport { useAgentInfo } from \"@/hooks/agent/useAgentInfo\";\nimport { useAgentConfigStore } from \"@/stores/agentConfigStore\";\nimport { VersionCardItem } from \"./AgentVersionCard\";\nimport log from \"@/lib/logger\";\nimport AgentVersionCompareModal from \"./versions/AgentVersionCompareModal\";\nimport { compareVersions, type VersionCompareResponse } from \"@/services/agentVersionService\";\n\nexport default function AgentVersionManage() {\n  const { t } = useTranslation(\"common\");\n  const currentAgentId = useAgentConfigStore((state) => state.currentAgentId);\n\n  const { agentVersionList, total, isLoading, invalidate: invalidateAgentVersionList } = useAgentVersionList(currentAgentId);\n  const { agentInfo, invalidate: invalidateAgentInfo } = useAgentInfo(currentAgentId);\n  \n  const [compareModalOpen, setCompareModalOpen] = useState(false);\n  const [compareLoading, setCompareLoading] = useState(false);\n  const [compareData, setCompareData] = useState<VersionCompareResponse | null>(null);\n  const [selectedVersionA, setSelectedVersionA] = useState<number | null>(null);\n  const [selectedVersionB, setSelectedVersionB] = useState<number | null>(null);\n\n\n  const loadComparison = async (agentId: number, versionNoA: number, versionNoB: number) => {\n    try {\n      setCompareLoading(true);\n      const result = await compareVersions(agentId, versionNoA, versionNoB);\n      setCompareData(result);\n    } catch (error) {\n      log.error(\"Failed to compare versions:\", error);\n      message.error(t(\"agent.version.compareError\"));\n    } finally {\n      setCompareLoading(false);\n    }\n  };\n\n  const handleOpenCompareModal = async () => {\n    if (!currentAgentId) {\n      message.error(t(\"agent.error.agentNotFound\"));\n      return;\n    }\n    if (agentVersionList.length < 2) {\n      message.warning(t(\"agent.version.needTwoVersions\"));\n      return;\n    }\n\n    // Use the last two versions by version_no as default comparison\n    const sorted = [...agentVersionList].sort((a, b) => a.version_no - b.version_no);\n    const defaultVersionA = sorted[sorted.length - 2]?.version_no;\n    const defaultVersionB = sorted[sorted.length - 1]?.version_no;\n\n    if (!defaultVersionA || !defaultVersionB) {\n      message.warning(t(\"agent.version.needTwoVersions\"));\n      return;\n    }\n\n    setSelectedVersionA(defaultVersionA);\n    setSelectedVersionB(defaultVersionB);\n    setCompareModalOpen(true);\n    await loadComparison(currentAgentId, defaultVersionA, defaultVersionB);\n  };\n\n  const handleChangeVersionA = async (value: number) => {\n    setSelectedVersionA(value);\n    if (!currentAgentId || !selectedVersionB) {\n      return;\n    }\n    if (value === selectedVersionB) {\n      message.warning(t(\"agent.version.selectDifferentVersions\"));\n      return;\n    }\n    await loadComparison(currentAgentId, value, selectedVersionB);\n  };\n\n  const handleChangeVersionB = async (value: number) => {\n    setSelectedVersionB(value);\n    if (!currentAgentId || !selectedVersionA) {\n      return;\n    }\n    if (value === selectedVersionA) {\n      message.warning(t(\"agent.version.selectDifferentVersions\"));\n      return;\n    }\n    await loadComparison(currentAgentId, selectedVersionA, value);\n  };\n\n  const footer = [\n    <Flex\n      align=\"center\"\n      justify=\"space-between\"\n      gap={8}\n      className=\"pl-4\"\n      key=\"actions\"\n    >\n      <Tag color=\"blue\">\n        {t(\"agent.version.totalVersions\", { count: total })}\n      </Tag>\n      <Button\n        type=\"text\"\n        icon={<GitCompare size={16} />}\n        onClick={handleOpenCompareModal}\n      >\n        {t(\"agent.version.compare\")}\n      </Button>\n    </Flex>,\n  ];\n\n  return (\n    <>\n      <Card\n        className=\"h-full min-h-0\"\n        style={{ minHeight: 400, height: \"100%\" }}\n        title={\n          <Flex align=\"center\" gap={8}>\n            <GitBranch size={16} />\n            {t(\"agent.version.manage\")}\n          </Flex>\n        }\n        actions={footer}\n        styles={{\n          body: {\n            height: \"calc(100% - 112px)\",\n            overflow: \"auto\",\n          },\n        }}\n      >\n        {/* Desktop: Timeline style version list */}\n        <div className=\"w-full h-full\">\n          <Spin spinning={isLoading}>\n            {agentVersionList.length === 0 ? (\n              <Flex align=\"center\" justify=\"center\" className=\"h-full\">\n                <Empty />\n              </Flex>\n            ) : (\n              <Flex vertical >\n                {agentVersionList.map((version) => (\n                  <VersionCardItem\n                    key={version.version_no}\n                    version={version}\n                    agentId={currentAgentId || 0}\n                    currentVersionNo={agentInfo?.current_version_no}\n                  />\n                ))}\n              </Flex>\n            )}\n          </Spin>\n        </div>\n      </Card>\n\n      <AgentVersionCompareModal\n        open={compareModalOpen}\n        loading={compareLoading}\n        versionList={agentVersionList}\n        currentVersionNo={agentInfo?.current_version_no}\n        compareData={compareData}\n        onCancel={() => setCompareModalOpen(false)}\n        selectedVersionNoA={selectedVersionA}\n        selectedVersionNoB={selectedVersionB}\n        onChangeVersionA={handleChangeVersionA}\n        onChangeVersionB={handleChangeVersionB}\n      />\n    </>\n  );\n}\n"
  },
  {
    "path": "frontend/app/[locale]/agents/components/AgentConfigComp.tsx",
    "content": "\"use client\";\n\nimport { useState, useCallback } from \"react\";\nimport { useTranslation } from \"react-i18next\";\nimport { App, Button, Row, Col, Flex, Tooltip, Badge, Divider } from \"antd\";\nimport CollaborativeAgent from \"./agentConfig/CollaborativeAgent\";\nimport ToolManagement from \"./agentConfig/ToolManagement\";\n\nimport { updateToolList } from \"@/services/mcpService\";\nimport { useAgentConfigStore } from \"@/stores/agentConfigStore\";\nimport { useToolList } from \"@/hooks/agent/useToolList\";\nimport McpConfigModal from \"./agentConfig/McpConfigModal\";\n\nimport { RefreshCw, Lightbulb, Plug } from \"lucide-react\";\n\ninterface AgentConfigCompProps {}\n\nexport default function AgentConfigComp({}: AgentConfigCompProps) {\n  const { t } = useTranslation(\"common\");\n  const { message } = App.useApp();\n\n  // Get state from store\n  const currentAgentId = useAgentConfigStore((state) => state.currentAgentId);\n\n  const isCreatingMode = useAgentConfigStore((state) => state.isCreatingMode);\n\n  const [isMcpModalOpen, setIsMcpModalOpen] = useState(false);\n  const [isRefreshing, setIsRefreshing] = useState(false);\n\n  // Use tool list hook for data management\n  const { groupedTools, invalidate } = useToolList();\n\n  const handleRefreshTools = useCallback(async () => {\n    setIsRefreshing(true);\n    try {\n      // Step 1: Update backend tool status, rescan MCP and local tools\n      const updateResult = await updateToolList();\n      if (!updateResult.success) {\n        message.warning(t(\"toolManagement.message.updateStatusFailed\"));\n      }\n\n      // Step 2: Invalidate and refresh tool list cache\n      invalidate();\n      message.success(t(\"toolManagement.message.refreshSuccess\"));\n    } catch (error) {\n      message.error(t(\"toolManagement.message.refreshFailedRetry\"));\n    } finally {\n      setIsRefreshing(false);\n    }\n  }, [invalidate]);\n\n  return (\n    <>\n      {/* Import handled by Ant Design Upload (no hidden input required) */}\n      <Flex vertical className=\"h-full overflow-hidden\">\n        <Row>\n          <Col>\n            <Flex\n              justify=\"flex-start\"\n              align=\"center\"\n              gap={8}\n              style={{ marginBottom: \"4px\" }}\n            >\n              <Badge count={2} color=\"blue\" />\n              <h2 className=\"text-lg font-medium\">\n                {t(\"businessLogic.config.title\")}\n              </h2>\n            </Flex>\n          </Col>\n        </Row>\n\n        <Divider style={{ margin: \"10px 0\" }} />\n\n        <Row gutter={[12, 12]} className=\"mb-4\">\n          <CollaborativeAgent />\n        </Row>\n\n        <Row gutter={[12, 12]}>\n          <Col xs={12}>\n            <Flex justify=\"flex-start\" align=\"center\">\n              <h4 className=\"text-md font-medium text-gray-700\">\n                {t(\"toolPool.title\")}\n              </h4>\n              <Tooltip\n                title={\n                  <div style={{ whiteSpace: \"pre-line\" }}>\n                    {t(\"toolPool.tooltip.functionGuide\")}\n                  </div>\n                }\n                color=\"#ffffff\"\n                styles={{\n                  root: {\n                    backgroundColor: \"#ffffff\",\n                    border: \"1px solid #e5e7eb\",\n                    borderRadius: \"6px\",\n                    boxShadow:\n                      \"0 4px 6px -1px rgba(0, 0, 0, 0.1), 0 2px 4px -1px rgba(0, 0, 0, 0.06)\",\n                    maxWidth: \"800px\",\n                    minWidth: \"700px\",\n                    width: \"fit-content\",\n                  },\n                }}\n              >\n                <Lightbulb className=\"ml-2 text-yellow-500\" size={16} />\n              </Tooltip>\n            </Flex>\n          </Col>\n          <Col xs={12}>\n            <Flex justify=\"flex-end\" align=\"center\">\n              <Button\n                type=\"text\"\n                size=\"small\"\n                icon={<RefreshCw size={16} />}\n                onClick={handleRefreshTools}\n                loading={isRefreshing}\n                className=\"text-green-500 hover:!text-green-600 hover:!bg-green-50\"\n                title={t(\"toolManagement.refresh.title\")}\n              >\n                {t(\"toolManagement.refresh.button.refresh\")}\n              </Button>\n              <Button\n                type=\"text\"\n                size=\"small\"\n                icon={<Plug size={16} />}\n                onClick={() => setIsMcpModalOpen(true)}\n                className=\"text-blue-500 hover:!text-blue-600 hover:!bg-blue-50\"\n                title={t(\"toolManagement.mcp.title\")}\n              >\n                {t(\"toolManagement.mcp.button\")}\n              </Button>\n            </Flex>\n          </Col>\n        </Row>\n\n        <Divider style={{ margin: \"10px 0\" }} />\n\n        <Row className=\"flex:1 min-h-0\">\n          <Col xs={24} className=\"h-full\">\n            <ToolManagement\n              toolGroups={groupedTools}\n              isCreatingMode={isCreatingMode}\n              currentAgentId={currentAgentId ?? undefined}\n            />\n          </Col>\n        </Row>\n      </Flex>\n\n      <McpConfigModal\n        visible={isMcpModalOpen}\n        onCancel={() => setIsMcpModalOpen(false)}\n      />\n    </>\n  );\n}\n"
  },
  {
    "path": "frontend/app/[locale]/agents/components/AgentInfoComp.tsx",
    "content": "\"use client\";\n\nimport { useState } from \"react\";\nimport { useTranslation } from \"react-i18next\";\nimport { Row, Col, Flex, Badge, Divider, Button, Drawer, Tooltip, Tag } from \"antd\";\nimport { Bug, Save, Info, GitBranch, History, Rocket } from \"lucide-react\";\n\nimport { AGENT_SETUP_LAYOUT_DEFAULT } from \"@/const/agentConfig\";\nimport { useAgentConfigStore } from \"@/stores/agentConfigStore\";\nimport { useSaveGuard } from \"@/hooks/agent/useSaveGuard\";\n\nimport AgentGenerateDetail from \"./agentInfo/AgentGenerateDetail\";\nimport DebugConfig from \"./agentInfo/DebugConfig\";\nimport { useAgentVersionList } from \"@/hooks/agent/useAgentVersionList\";\nimport { useAgentVersionDetail } from \"@/hooks/agent/useAgentVersionDetail\";\nimport { useAgentInfo } from \"@/hooks/agent/useAgentInfo\";\nimport AgentVersionPubulishModal from \"../versions/AgentVersionPubulishModal\";\n\nexport interface AgentInfoCompProps {\n  isShowVersionManagePanel: boolean;\n  openVersionManagePanel: () => void;\n  closeVersionManagementPanel: () => void;\n}\n\nexport default function AgentInfoComp({\n  isShowVersionManagePanel,\n  openVersionManagePanel,\n  closeVersionManagementPanel,\n}: AgentInfoCompProps) {\n  const { t } = useTranslation(\"common\");\n\n  const isCreatingMode = useAgentConfigStore((state) => state.isCreatingMode);\n  const currentAgentPermission = useAgentConfigStore((state) => state.currentAgentPermission);\n  const currentAgentId = useAgentConfigStore((state) => state.currentAgentId);\n\n  const isPanelActive = (currentAgentId != null && currentAgentId != undefined) || isCreatingMode;\n  const { agentVersionList, total, invalidate: invalidateAgentVersionList } = useAgentVersionList(currentAgentId);\n\n  const { agentInfo, invalidate: invalidateAgentInfo } = useAgentInfo(currentAgentId);\n\n  const { agentVersionDetail } = useAgentVersionDetail(\n    currentAgentId, agentInfo?.current_version_no\n  );\n    \n  const isReadOnly = isPanelActive && !isCreatingMode && currentAgentPermission === \"READ_ONLY\";\n  const isEditable = isPanelActive && !isReadOnly;\n\n  // Save guard hook\n  const saveGuard = useSaveGuard();\n\n  // Debug drawer state\n  const [isDebugDrawerOpen, setIsDebugDrawerOpen] = useState(false);\n\n  // Generation state shared with AgentGenerateDetail\n  const [isGenerating, setIsGenerating] = useState(false);\n\n  const [isPublishModalOpen, setIsPublishModalOpen] = useState(false);\n\n  const handlePublishClick = () => {\n    setIsPublishModalOpen(true);\n  };\n\n  const handlePublished = () => {\n    invalidateAgentVersionList();\n    invalidateAgentInfo();\n  };\n\n  return (\n    <>\n      {\n        <Flex vertical className=\"h-full overflow-hidden\">\n          <Row>\n            <Col className=\"w-full\">\n              <Flex\n                justify=\"space-between\"\n                align=\"center\"\n                gap={8}\n                style={{ marginBottom: \"4px\" }}\n                className=\"w-full\"\n              >\n                <Flex justify=\"flex-start\" align=\"center\" gap={8}>\n                  <Badge count={3} color=\"blue\" />\n                  <h2 className=\"text-lg font-medium\">\n                    {t(\"guide.steps.describeBusinessLogic.title\")}\n                  </h2>\n                </Flex>\n                <Button\n                  icon={<GitBranch size={16} />}\n                  onClick={isShowVersionManagePanel ? closeVersionManagementPanel : openVersionManagePanel}\n                  type={isShowVersionManagePanel ? \"primary\" : \"default\"}\n                >\n                  {t(\"agent.version.manage\")}\n                </Button>\n              </Flex>\n            </Col>\n          </Row>\n\n          <Divider style={{ margin: \"10px 0\" }} />\n          {!isCreatingMode && agentInfo?.current_version_no !== 0 && total > 0 && (\n            <Row style={{ marginBottom: \"8px\" }}>\n              <Col className=\"w-full\">\n                <Flex\n                  justify=\"space-between\"\n                  align=\"center\"\n                  className=\"w-full py-2 px-4 bg-gray-100 rounded-lg text-gray-700\"\n                >\n                  <Flex justify=\"start\" align=\"center\" gap={4}>\n                    <History size={16} />\n                    <span className=\"text-sm\">\n                      {t(\"agent.version.currentVersion\")} :\n                    </span>\n                    <Tag color=\"cyan\" variant=\"outlined\" className=\"rounded-md font-mono text-sm\"> {agentVersionDetail?.version.version_name}</Tag>\n                  </Flex>\n                  <Flex justify=\"end\" align=\"center\" gap={8} >\n                    {t(\"agent.version.totalVersions\", { count: total ?? 0 })}\n                  </Flex>\n                </Flex>\n              </Col>\n            </Row>\n          )}\n\n          <Row className=\"flex-1 min-h-0 h-full\">\n            <Col xs={24} className=\"h-full\">\n              <Flex vertical className=\"h-full min-h-0 w-full min-w-0\">\n                <AgentGenerateDetail\n                  editable={isEditable}\n                  isGenerating={isGenerating}\n                  setIsGenerating={setIsGenerating}\n                />\n              </Flex>\n            </Col>\n          </Row>\n\n          <Row className=\"mt-3\">\n            <Col span={24}>\n              <Flex justify=\"center\" align=\"center\" gap={16}>\n                <Button\n                  type=\"primary\"\n                  icon={<Bug size={16} />}\n                  onClick={() =>\n                    saveGuard.saveWithModal().then((success) => {\n                      if (success) {\n                        setIsDebugDrawerOpen(true);\n                      }\n                    })\n                  }\n                  size=\"middle\"\n                  disabled={isGenerating}\n                >\n                  {t(\"systemPrompt.button.debug\")}\n                </Button>\n\n                <Tooltip title={isReadOnly ? t(\"agent.noEditPermission\") : undefined}>\n                  <span>\n                    <Button\n                      icon={<Save size={16} />}\n                      color=\"green\"\n                      variant=\"solid\"\n                      onClick={saveGuard.save}\n                      size=\"middle\"\n                      title={t(\"common.save\")}\n                      disabled={isGenerating || isReadOnly}\n                    >\n                      {t(\"common.save\")}\n                    </Button>\n                  </span>\n                </Tooltip>\n\n                <Tooltip title={isReadOnly ? t(\"agent.noEditPermission\") : undefined}>\n                  <span>\n                    <Button\n                      type=\"primary\"\n                      icon={<Rocket size={16} />}\n                      onClick={handlePublishClick}\n                      disabled={isGenerating || isReadOnly}\n                    >\n                      {t(\"agent.version.publish\")}\n                    </Button>\n                  </span>\n                </Tooltip>\n              </Flex>\n            </Col>\n          </Row>\n        </Flex>\n      }\n\n      {!isPanelActive && (\n        <Flex>\n          <div className=\"absolute inset-0 bg-white bg-opacity-95 flex items-center justify-center z-50 transition-all duration-300 ease-out animate-in fade-in-0\">\n            <div className=\"space-y-3 animate-in fade-in-50 duration-400 delay-50 text-center\">\n              <div className=\"flex items-center justify-center gap-3 animate-in slide-in-from-bottom-2 duration-300 delay-150\">\n                <Info\n                  className=\"text-gray-400 transition-all duration-300 animate-in zoom-in-75 delay-100\"\n                  size={48}\n                />\n                <h3 className=\"text-lg font-medium text-gray-700 transition-all duration-300\">\n                  {t(\"systemPrompt.nonEditing.title\")}\n                </h3>\n              </div>\n              <p className=\"text-sm text-gray-500 transition-all duration-300\">\n                {t(\"systemPrompt.nonEditing.subtitle\")}\n              </p>\n            </div>\n          </div>\n        </Flex>\n      )}\n\n      {/* Debug drawer */}\n      <Drawer\n        title={t(\"agent.debug.title\")}\n        placement=\"right\"\n        onClose={() => setIsDebugDrawerOpen(false)}\n        open={isDebugDrawerOpen}\n        styles={{\n          wrapper: {\n            width: AGENT_SETUP_LAYOUT_DEFAULT.DRAWER_WIDTH,\n          },\n          body: {\n            padding: 0,\n            height: \"100%\",\n            overflow: \"hidden\",\n          },\n        }}\n      >\n        <div className=\"h-full\">\n          <DebugConfig agentId={currentAgentId} />\n        </div>\n      </Drawer>\n\n      <AgentVersionPubulishModal\n        open={isPublishModalOpen}\n        onClose={() => setIsPublishModalOpen(false)}\n        agentId={currentAgentId}\n        onPublished={handlePublished}\n      />\n    </>\n  );\n}\n"
  },
  {
    "path": "frontend/app/[locale]/agents/components/AgentManageComp.tsx",
    "content": "\"use client\";\n\nimport { useTranslation } from \"react-i18next\";\nimport { App, Row, Col, Flex, Tooltip, Badge, Divider } from \"antd\";\nimport { FileInput, Plus, X } from \"lucide-react\";\n\nimport AgentList from \"./agentManage/AgentList\";\n\nimport { useAgentConfigStore } from \"@/stores/agentConfigStore\";\nimport { importAgent } from \"@/services/agentConfigService\";\nimport { useMutation, useQueryClient } from \"@tanstack/react-query\";\nimport { useAgentList } from \"@/hooks/agent/useAgentList\";\nimport { useAuthorizationContext } from \"@/components/providers/AuthorizationProvider\";\nimport log from \"@/lib/logger\";\nimport { useState } from \"react\";\nimport { ImportAgentData } from \"@/hooks/useAgentImport\";\nimport AgentImportWizard from \"@/components/agent/AgentImportWizard\";\n\n\nexport default function AgentManageComp() {\n  const { t } = useTranslation(\"common\");\n  const { message } = App.useApp();\n  const { user } = useAuthorizationContext();\n\n  // Get state from store\n  const isCreatingMode = useAgentConfigStore((state) => state.isCreatingMode);\n  const enterCreateMode = useAgentConfigStore((state) => state.enterCreateMode);\n  const reset = useAgentConfigStore((state) => state.reset);\n\n  // Import wizard state\n  const [importWizardVisible, setImportWizardVisible] = useState(false);\n  const [importWizardData, setImportWizardData] =\n    useState<ImportAgentData | null>(null);\n\n  // Shared agent list via React Query\n  const { agents: agentList, isLoading: loading, refetch } = useAgentList(user?.tenantId ?? null);\n\n  // Handle import agent for space view - open wizard instead of direct import\n  const handleImportAgent = () => {\n    const fileInput = document.createElement(\"input\");\n    fileInput.type = \"file\";\n    fileInput.accept = \".json\";\n    fileInput.onchange = async (event) => {\n      const file = (event.target as HTMLInputElement).files?.[0];\n      if (!file) return;\n\n      if (!file.name.endsWith(\".json\")) {\n        message.error(t(\"businessLogic.config.error.invalidFileType\"));\n        return;\n      }\n\n      try {\n        // Read and parse file\n        const fileContent = await file.text();\n        let agentData: ImportAgentData;\n\n        try {\n          agentData = JSON.parse(fileContent);\n        } catch (parseError) {\n          message.error(t(\"businessLogic.config.error.invalidFileType\"));\n          return;\n        }\n\n        // Validate structure\n        if (!agentData.agent_id || !agentData.agent_info) {\n          message.error(t(\"businessLogic.config.error.invalidFileType\"));\n          return;\n        }\n\n        // Open wizard with parsed data\n        setImportWizardData(agentData);\n        setImportWizardVisible(true);\n      } catch (error) {\n        log.error(\"Failed to read import file:\", error);\n        message.error(t(\"businessLogic.config.error.agentImportFailed\"));\n      }\n    };\n\n    fileInput.click();\n  };\n\n  return (\n    <>\n      {/* Import handled by Ant Design Upload (no hidden input required) */}\n      <Flex vertical className=\"h-full overflow-hidden\">\n        <Row>\n          <Col>\n            <Flex\n              justify=\"flex-start\"\n              align=\"center\"\n              gap={8}\n              style={{ marginBottom: \"4px\" }}\n            >\n              <Badge count={1} color=\"blue\" />\n              <h2 className=\"text-lg font-medium\">\n                {t(\"subAgentPool.management\")}\n              </h2>\n            </Flex>\n          </Col>\n        </Row>\n\n        <Divider style={{ margin: \"10px 0\" }} />\n\n        <Row gutter={[12, 12]} className=\"mb-4\">\n          <Col xs={24} sm={12}>\n            {isCreatingMode ? (\n              <Tooltip title={t(\"subAgentPool.tooltip.exitCreateMode\")}>\n                <div\n                  className=\"rounded-md p-3 cursor-pointer transition-all duration-200 bg-blue-100 border border-blue-200 shadow-sm\"\n                  onClick={reset}\n                >\n                  <Flex align=\"center\" gap={12} className=\"text-blue-600\">\n                    <Flex\n                      align=\"center\"\n                      justify=\"center\"\n                      className=\"w-8 h-8 rounded-full bg-blue-100 flex-shrink-0\"\n                    >\n                      <X className=\"w-4 h-4\" aria-hidden=\"true\" />\n                    </Flex>\n                    <Flex vertical style={{ flex: 1 }}>\n                      <div className=\"font-medium text-sm\">\n                        {t(\"subAgentPool.button.exitCreate\")}\n                      </div>\n                      <div className=\"text-xs text-gray-500 mt-0.5\">\n                        {t(\"subAgentPool.description.exitCreate\")}\n                      </div>\n                    </Flex>\n                  </Flex>\n                </div>\n              </Tooltip>\n            ) : (\n              <Tooltip title={t(\"subAgentPool.tooltip.createNewAgent\")}>\n                <div\n                  className=\"rounded-md p-3 cursor-pointer transition-all duration-200 bg-white hover:bg-blue-50 hover:shadow-sm\"\n                  onClick={enterCreateMode}\n                >\n                  <Flex align=\"center\" gap={12} className=\"text-blue-600\">\n                    <Flex\n                      align=\"center\"\n                      justify=\"center\"\n                      className=\"w-8 h-8 rounded-full bg-blue-100 flex-shrink-0\"\n                    >\n                      <Plus className=\"w-4 h-4\" aria-hidden=\"true\" />\n                    </Flex>\n                    <Flex vertical style={{ flex: 1 }}>\n                      <div className=\"font-medium text-sm\">\n                        {t(\"subAgentPool.button.create\")}\n                      </div>\n                      <div className=\"text-xs text-gray-500 mt-0.5\">\n                        {t(\"subAgentPool.description.createAgent\")}\n                      </div>\n                    </Flex>\n                  </Flex>\n                </div>\n              </Tooltip>\n            )}\n          </Col>\n\n          <Col xs={24} sm={12}>\n            <Tooltip title={t(\"subAgentPool.description.importAgent\")}>\n              <div\n                className=\"rounded-md p-3 cursor-pointer transition-all duration-200 bg-white hover:bg-green-50 hover:shadow-sm\"\n                onClick={handleImportAgent}\n              >\n                <Flex align=\"center\" gap={12} className=\"text-green-600\">\n                  <Flex\n                    align=\"center\"\n                    justify=\"center\"\n                    className=\"w-8 h-8 rounded-full bg-green-100 flex-shrink-0\"\n                  >\n                    <FileInput\n                      className=\"w-4 h-4 text-green-600\"\n                      aria-hidden=\"true\"\n                    />\n                  </Flex>\n                  <Flex vertical style={{ flex: 1 }}>\n                    <div className=\"font-medium text-sm\">\n                      {t(\"subAgentPool.button.import\")}\n                    </div>\n                    <div className=\"text-xs text-gray-500 mt-0.5\">\n                      {t(\"subAgentPool.description.importAgent\")}\n                    </div>\n                  </Flex>\n                </Flex>\n              </div>\n            </Tooltip>\n          </Col>\n        </Row>\n\n        <div className=\"flex-1 min-h-0\">\n          <AgentList agentList={agentList} />\n        </div>\n      </Flex>\n\n      {/* Import Wizard Modal */}\n      <AgentImportWizard\n        visible={importWizardVisible}\n        onCancel={() => {\n          setImportWizardVisible(false);\n          setImportWizardData(null);\n        }}\n        initialData={importWizardData}\n        onImportComplete={() => {\n          setImportWizardVisible(false);\n          setImportWizardData(null);\n          refetch(); // Refresh the agent list\n        }}\n      />\n    </>\n  );\n}\n"
  },
  {
    "path": "frontend/app/[locale]/agents/components/agentConfig/CollaborativeAgent.tsx",
    "content": "\"use client\";\n\nimport { useTranslation } from \"react-i18next\";\nimport { Tag, App, Card, Flex, Dropdown, Col } from \"antd\";\nimport { Plus } from \"lucide-react\";\nimport { Agent } from \"@/types/agentConfig\";\nimport { useAgentConfigStore } from \"@/stores/agentConfigStore\";\nimport { usePublishedAgentList } from \"@/hooks/agent/usePublishedAgentList\";\n\ninterface CollaborativeAgentProps {}\n\nexport default function CollaborativeAgent({}: CollaborativeAgentProps) {\n  const { t } = useTranslation(\"common\");\n  const { message } = App.useApp();\n\n  const currentAgentId = useAgentConfigStore((state) => state.currentAgentId);\n  const isCreatingMode = useAgentConfigStore((state) => state.isCreatingMode);\n  const currentAgentPermission = useAgentConfigStore(\n    (state) => state.currentAgentPermission\n  );\n  const editedAgent = useAgentConfigStore((state) => state.editedAgent);\n  const updateSubAgentIds = useAgentConfigStore(\n    (state) => state.updateSubAgentIds\n  );\n\n  const { availableAgents } = usePublishedAgentList();\n\n  const editable =\n    !!isCreatingMode ||\n    ((currentAgentId != null && currentAgentId != undefined) &&\n      currentAgentPermission !== \"READ_ONLY\");\n\n  // Get related agents - use edited agent state (which includes current agent data when editing)\n  const relatedAgentIds = Array.isArray(editedAgent?.sub_agent_id_list)\n    ? editedAgent.sub_agent_id_list\n    : [];\n\n  const relatedAgents = (\n    Array.isArray(availableAgents) ? availableAgents : []\n  ).filter((agent: Agent) => relatedAgentIds.includes(Number(agent.id)));\n\n  // Filter available agents (exclude already related ones and current agent)\n  const availableAgentsForMenu = (\n    Array.isArray(availableAgents) ? availableAgents : []\n  ).filter(\n    (agent: Agent) =>\n      !relatedAgentIds.includes(Number(agent.id)) &&\n      Number(agent.id) !== currentAgentId\n  );\n\n  const handleAddAgent = (agentId: number) => {\n    const newRelatedAgentIds = [\n      ...(Array.isArray(relatedAgentIds) ? relatedAgentIds : []),\n      agentId,\n    ];\n    updateSubAgentIds(newRelatedAgentIds);\n  };\n\n  const handleRemoveAgent = (agentId: number) => {\n    const newRelatedAgentIds = (\n      Array.isArray(relatedAgentIds) ? relatedAgentIds : []\n    ).filter((id: number) => id !== agentId);\n    updateSubAgentIds(newRelatedAgentIds);\n  };\n\n  const addRelatedAgent = (event: React.MouseEvent) => {};\n\n  const menuItems = Array.isArray(availableAgentsForMenu)\n    ? availableAgentsForMenu.map((agent: Agent) => ({\n        key: String(agent.id),\n        label: (\n          <>\n            <span>{agent.display_name || agent.name}</span>\n            {agent.display_name && (\n              <span className=\"ml-2 text-xs text-gray-400\">({agent.name})</span>\n            )}\n          </>\n        ),\n        onClick: () => handleAddAgent(Number(agent.id)),\n      }))\n    : [];\n\n  return (\n    <>\n      <Col xs={24}>\n        <h4 className=\"text-md font-medium text-gray-700\">\n          {t(\"collaborativeAgent.title\")}\n        </h4>\n      </Col>\n      <Col xs={24}>\n        <Flex className=\"w-full\">\n          <Card\n            className=\"w-full bg-gray-50 rounded-md border-2 border-gray-200 h-24\"\n            styles={{ body: { padding: \"16px\" } }}\n          >\n            <Flex justify=\"flex-start\" align=\"center\" className=\"h-full\">\n              <Dropdown\n                menu={{\n                  items: menuItems,\n                }}\n                disabled={!editable}\n              >\n                <button\n                  type=\"button\"\n                  onClick={addRelatedAgent}\n                  disabled={!editable}\n                  className={`flex-shrink-0 box-border flex items-center justify-center w-8 h-8 border-2 border-dashed transition-colors duration-200 ${\n                    editable\n                      ? \"border-blue-400 text-blue-500 hover:border-blue-500 hover:text-blue-600 hover:bg-blue-50\"\n                      : \"border-gray-300 text-gray-400 cursor-not-allowed\"\n                  }`}\n                  title={editable ? t(\"collaborativeAgent.button.add\") : \"\"}\n                >\n                  <Plus size={16} />\n                </button>\n              </Dropdown>\n              <div className=\"h-full overflow-y-auto ml-4\">\n                <Flex className=\"flex flex-wrap items-center h-full gap-2\">\n                  {relatedAgents.map((agent: Agent) => (\n                    <Tag\n                      key={agent.id}\n                      closable={!!editable}\n                      onClose={() => handleRemoveAgent(Number(agent.id))}\n                      className=\"bg-blue-50 text-blue-700 border-blue-200 truncate\"\n                      style={{\n                        maxWidth: \"200px\",\n                      }}\n                    >\n                      {agent.display_name || agent.name}\n                    </Tag>\n                  ))}\n                </Flex>\n              </div>\n            </Flex>\n          </Card>\n        </Flex>\n      </Col>\n    </>\n  );\n}\n"
  },
  {
    "path": "frontend/app/[locale]/agents/components/agentConfig/McpConfigModal.tsx",
    "content": "\"use client\";\n\nimport { useState, useEffect, type ComponentProps } from \"react\";\nimport { useTranslation } from \"react-i18next\";\nimport {\n  Modal,\n  Button,\n  Input,\n  InputNumber,\n  Table,\n  Space,\n  Typography,\n  Card,\n  Divider,\n  Tooltip,\n  App,\n  Upload,\n  Tabs,\n} from \"antd\";\nimport {\n  Trash,\n  Eye,\n  Plus,\n  LoaderCircle,\n  RefreshCw,\n  FileText,\n  Container,\n  Upload as UploadIcon,\n  Unplug,\n  Settings,\n} from \"lucide-react\";\n\nimport { McpConfigModalProps } from \"@/types/agentConfig\";\nimport { useConfirmModal } from \"@/hooks/useConfirmModal\";\nimport { UploadFile } from \"antd/es/upload/interface\";\nimport { useMcpConfig } from \"@/hooks/useMcpConfig\";\nimport McpToolListModal from \"@/components/mcp/McpToolListModal\";\nimport McpEditServerModal from \"@/components/mcp/McpEditServerModal\";\nimport McpContainerLogsModal from \"@/components/mcp/McpContainerLogsModal\";\n\nconst { Text, Title } = Typography;\n\nexport default function McpConfigModal({\n  visible,\n  onCancel,\n  }: McpConfigModalProps) {\n  const { t } = useTranslation(\"common\");\n  const { confirm } = useConfirmModal();\n  const { message, modal } = App.useApp();\n\n  // Use shared hook for MCP config logic\n  const {\n    serverList,\n    loading,\n    containerList,\n    enableUploadImage,\n    updatingTools,\n    healthCheckLoading,\n    loadServerList,\n    loadContainerList,\n    handleAddServer,\n    handleDeleteServer,\n    handleViewTools,\n    handleCheckHealth,\n    handleUpdateServer,\n    handleAddContainer,\n    handleUploadImage,\n    handleDeleteContainer,\n    handleViewLogs,\n    handleGetMcpRecord,\n  } = useMcpConfig({ enabled: visible });\n\n  // Local UI state\n  const [addingServer, setAddingServer] = useState(false);\n  const [newServerName, setNewServerName] = useState(\"\");\n  const [newServerUrl, setNewServerUrl] = useState(\"\");\n  const [newServerAuthorizationToken, setNewServerAuthorizationToken] = useState(\"\");\n\n  const [toolsModalVisible, setToolsModalVisible] = useState(false);\n  const [currentServerTools, setCurrentServerTools] = useState<any[]>([]);\n  const [currentServerName, setCurrentServerName] = useState(\"\");\n  const [loadingTools, setLoadingTools] = useState(false);\n\n  const [editServerModalVisible, setEditServerModalVisible] = useState(false);\n  const [editingServer, setEditingServer] = useState<any>(null);\n  const [updatingServer, setUpdatingServer] = useState(false);\n  const [loadingMcpRecord, setLoadingMcpRecord] = useState(false);\n\n  const [addingContainer, setAddingContainer] = useState(false);\n  const [containerConfigJson, setContainerConfigJson] = useState(\"\");\n  const [containerPort, setContainerPort] = useState<number | undefined>(\n    undefined\n  );\n\n  const [logsModalVisible, setLogsModalVisible] = useState(false);\n  const [currentContainerId, setCurrentContainerId] = useState(\"\");\n\n  const [uploadingImage, setUploadingImage] = useState(false);\n  const [uploadFileList, setUploadFileList] = useState<UploadFile[]>([]);\n  const [uploadPort, setUploadPort] = useState<number | undefined>(undefined);\n  const [uploadServiceName, setUploadServiceName] = useState(\"\");\n  const [uploadAuthorizationToken, setUploadAuthorizationToken] = useState(\"\");\n\n  const actionsLocked = updatingTools || addingContainer || uploadingImage;\n  const noMcpEditPermissionTitle = t(\"mcpConfig.permission.noEdit\");\n\n  const renderPermissionControlledButton = (props: {\n    isReadOnly: boolean;\n    button: Omit<ComponentProps<typeof Button>, \"disabled\" | \"onClick\"> & {\n      disabled?: boolean;\n      onClick?: (() => void) | undefined;\n    };\n  }) => {\n    const { isReadOnly, button } = props;\n    const { onClick, disabled, ...rest } = button;\n\n    const finalDisabled = Boolean(disabled) || isReadOnly;\n    const finalOnClick = finalDisabled ? undefined : onClick;\n\n    const element = (\n      <Button\n        {...rest}\n        onClick={finalOnClick}\n        disabled={finalDisabled}\n      />\n    );\n\n    if (!isReadOnly) return element;\n\n    return (\n      <Tooltip title={noMcpEditPermissionTitle}>\n        <span style={{ display: \"inline-flex\" }}>{element}</span>\n      </Tooltip>\n    );\n  };\n\n  // Data loading is handled by React Query (enabled: visible)\n\n  // Handlers\n  const onAddServer = async () => {\n    if (!newServerName.trim() || !newServerUrl.trim()) {\n      message.error(t(\"mcpConfig.message.completeServerInfo\"));\n      return;\n    }\n\n    const serverName = newServerName.trim();\n    if (!/^[a-zA-Z0-9_-]+$/.test(serverName)) {\n      message.error(t(\"mcpConfig.message.invalidServerName\"));\n      return;\n    }\n\n    if (serverName.length > 20) {\n      message.error(t(\"mcpConfig.message.serverNameTooLong\"));\n      return;\n    }\n\n    if (serverList.some((s) => s.service_name === serverName || s.mcp_url === newServerUrl.trim())) {\n      message.error(t(\"mcpConfig.message.serverExists\"));\n      return;\n    }\n\n    setAddingServer(true);\n    const result = await handleAddServer(\n      newServerUrl.trim(),\n      serverName,\n      newServerAuthorizationToken.trim() || null\n    );\n    if (result.success) {\n      setNewServerName(\"\");\n      setNewServerUrl(\"\");\n      setNewServerAuthorizationToken(\"\");\n      message.success(result.messageKey ? t(result.messageKey) : t(\"mcpService.message.addServerSuccess\"));\n    } else {\n      message.error(result.messageKey ? t(result.messageKey) : (result.message || t(\"mcpConfig.message.addServerFailed\")));\n    }\n    setAddingServer(false);\n  };\n\n  const onDeleteServer = (server: any) => {\n    confirm({\n      title: t(\"mcpConfig.delete.confirmTitle\"),\n      content: t(\"mcpConfig.delete.confirmContent\", {\n        name: server.service_name,\n      }),\n      okText: t(\"common.delete\", \"Delete\"),\n      onOk: async () => {\n        const result = await handleDeleteServer(server);\n        if (!result.success) {\n          message.error(\n            result.messageKey\n              ? t(result.messageKey)\n              : result.message || t(\"mcpConfig.message.deleteServerFailed\")\n          );\n        } else {\n          message.success(\n            result.messageKey\n              ? t(result.messageKey)\n              : t(\"mcpService.message.deleteServerSuccess\")\n          );\n        }\n      },\n    });\n  };\n\n  const onViewTools = async (server: any) => {\n    setCurrentServerName(server.service_name);\n    setLoadingTools(true);\n    setToolsModalVisible(true);\n\n    const result = await handleViewTools(server);\n    if (result.success) {\n      setCurrentServerTools(result.data);\n    } else {\n      message.error(result.messageKey ? t(result.messageKey) : (result.message || t(\"mcpConfig.message.getToolsFailed\")));\n      setCurrentServerTools([]);\n    }\n    setLoadingTools(false);\n  };\n\n  const onCheckHealth = async (server: any) => {\n    const key = \"healthCheck\";\n    message.info({\n      content: t(\"mcpConfig.message.healthChecking\", {\n        name: server.service_name,\n      }),\n      key,\n    });\n\n    try {\n      const result = await handleCheckHealth(server);\n      if (result.success) {\n        message.success({\n          content: result.messageKey\n            ? t(result.messageKey)\n            : t(\"mcpConfig.message.healthCheckSuccess\"),\n          key,\n        });\n      } else {\n        message.error({\n          content: result.messageKey\n            ? t(result.messageKey)\n            : result.message || t(\"mcpConfig.message.healthCheckFailed\"),\n          key,\n        });\n      }\n    } catch (error) {\n      message.error({\n        content: t(\"mcpConfig.message.healthCheckFailed\"),\n        key,\n      });\n    }\n  };\n\n  const onEditServer = async (server: any) => {\n    setEditingServer(server);\n    setEditServerModalVisible(true);\n    setLoadingMcpRecord(true);\n\n    // If mcp_id is available, fetch the latest record data including authorization_token\n    if (server.mcp_id) {\n      const result = await handleGetMcpRecord(server.mcp_id);\n      if (result.success && result.data) {\n        setEditingServer({\n          ...server,\n          service_name: result.data.mcp_name,\n          mcp_url: result.data.mcp_server,\n          authorization_token: result.data.authorization_token,\n        });\n      } else {\n        message.error(result.messageKey ? t(result.messageKey) : (result.message || t(\"mcpConfig.message.getMcpRecordFailed\")));\n      }\n    }\n    setLoadingMcpRecord(false);\n  };\n\n  const onSaveEditedServer = async (name: string, url: string, authorizationToken?: string | null) => {\n    if (!editingServer) return;\n    if (!name.trim() || !url.trim()) {\n      message.error(t(\"mcpConfig.message.nameAndUrlRequired\"));\n      return;\n    }\n\n    const serverName = name.trim();\n    if (!/^[a-zA-Z0-9_-]+$/.test(serverName)) {\n      message.error(t(\"mcpConfig.message.invalidServerName\"));\n      return;\n    }\n\n    if (serverName.length > 20) {\n      message.error(t(\"mcpConfig.message.serverNameTooLong\"));\n      return;\n    }\n\n    setUpdatingServer(true);\n    const result = await handleUpdateServer(\n      editingServer.service_name,\n      editingServer.mcp_url,\n      name.trim(),\n      url.trim(),\n      authorizationToken\n    );\n    if (result.success) {\n      setEditServerModalVisible(false);\n      setEditingServer(null);\n      message.success(result.messageKey ? t(result.messageKey) : t(\"mcpService.message.updateServerSuccess\"));\n    } else {\n      message.error(result.messageKey ? t(result.messageKey) : (result.message || t(\"mcpService.message.updateServerFailed\")));\n    }\n    setUpdatingServer(false);\n  };\n\n  const onAddContainer = async () => {\n    if (!containerConfigJson.trim()) {\n      message.error(t(\"mcpConfig.message.containerConfigRequired\"));\n      return;\n    }\n\n    if (!containerPort || containerPort < 1 || containerPort > 65535) {\n      message.error(t(\"mcpConfig.message.validPortRequired\"));\n      return;\n    }\n\n    let config;\n    try {\n      config = JSON.parse(containerConfigJson);\n    } catch {\n      message.error(t(\"mcpConfig.message.invalidJsonConfig\"));\n      return;\n    }\n\n    if (!config.mcpServers || typeof config.mcpServers !== \"object\") {\n      message.error(t(\"mcpConfig.message.invalidConfigStructure\"));\n      return;\n    }\n\n    setAddingContainer(true);\n    const result = await handleAddContainer(config, containerPort);\n    if (!result.success) {\n      message.error(result.messageKey ? t(result.messageKey) : (result.message || t(\"mcpConfig.message.addContainerFailed\")));\n    } else {\n      setContainerConfigJson(\"\");\n      setContainerPort(undefined);\n      message.success(result.messageKey ? t(result.messageKey) : t(\"mcpService.message.addContainerSuccess\"));\n    }\n    setAddingContainer(false);\n  };\n\n  const onUploadImage = async () => {\n    if (uploadFileList.length === 0) {\n      message.error(t(\"mcpConfig.message.uploadImageFileRequired\"));\n      return;\n    }\n\n    if (!uploadPort || uploadPort < 1 || uploadPort > 65535) {\n      message.error(t(\"mcpConfig.message.uploadImageValidPortRequired\"));\n      return;\n    }\n\n    const file = uploadFileList[0].originFileObj;\n    if (!file) {\n      message.error(t(\"mcpConfig.message.uploadImageFileRequired\"));\n      return;\n    }\n\n    if (!file.name.toLowerCase().endsWith(\".tar\")) {\n      message.error(t(\"mcpConfig.message.uploadImageInvalidFileType\"));\n      return;\n    }\n\n    setUploadingImage(true);\n    const result = await handleUploadImage(\n      file,\n      uploadPort,\n      uploadServiceName.trim() || undefined,\n      uploadAuthorizationToken.trim() || undefined\n    );\n    if (!result.success) {\n      message.error(result.messageKey ? t(result.messageKey) : (result.message || t(\"mcpConfig.message.uploadImageFailed\")));\n    } else {\n      setUploadFileList([]);\n      setUploadPort(undefined);\n      setUploadServiceName(\"\");\n      setUploadAuthorizationToken(\"\");\n      message.success(result.messageKey ? t(result.messageKey) : t(\"mcpService.message.uploadImageSuccess\"));\n    }\n    setUploadingImage(false);\n  };\n\n  const onDeleteContainer = (container: any) => {\n    confirm({\n      title: t(\"mcpConfig.deleteContainer.confirmTitle\"),\n      content: t(\"mcpConfig.deleteContainer.confirmContent\", {\n        name: container.name || container.container_id,\n      }),\n      okText: t(\"common.delete\", \"Delete\"),\n      onOk: async () => {\n        const result = await handleDeleteContainer(container);\n        if (!result.success) {\n          message.error(\n            result.messageKey\n              ? t(result.messageKey)\n              : result.message || t(\"mcpConfig.message.deleteContainerFailed\")\n          );\n        } else {\n          message.success(\n            result.messageKey\n              ? t(result.messageKey)\n              : t(\"mcpService.message.deleteContainerSuccess\")\n          );\n        }\n      },\n    });\n  };\n\n  const onViewLogs = async (containerId: string) => {\n    setCurrentContainerId(containerId);\n    setLogsModalVisible(true);\n  };\n\n  // Server list table columns\n  const serverColumns = [\n    {\n      title: t(\"mcpConfig.serverList.column.name\"),\n      dataIndex: \"service_name\",\n      key: \"service_name\",\n      width: \"25%\",\n      ellipsis: true,\n      render: (text: string) => (\n        <span style={{ overflow: \"hidden\", textOverflow: \"ellipsis\" }}>\n          {text}\n        </span>\n      ),\n    },\n    {\n      title: t(\"mcpConfig.serverList.column.url\"),\n      dataIndex: \"mcp_url\",\n      key: \"mcp_url\",\n      width: \"40%\",\n      ellipsis: true,\n    },\n    {\n      title: t(\"mcpConfig.serverList.column.action\"),\n      key: \"action\",\n      width: \"35%\",\n      render: (_: any, record: any) => {\n        const key = `${record.service_name}__${record.mcp_url}`;\n        const isReadOnly = record.permission === \"READ_ONLY\";\n        return (\n          <Space size=\"small\">\n            <Button\n              type=\"link\"\n              icon={\n                <RefreshCw\n                  size={16}\n                  className={healthCheckLoading[key] ? \"animate-spin\" : \"\"}\n                />\n              }\n              onClick={() => onCheckHealth(record)}\n              size=\"small\"\n              loading={healthCheckLoading[key]}\n              disabled={actionsLocked}\n            >\n              {t(\"mcpConfig.serverList.button.healthCheck\")}\n            </Button>\n            {record.status ? (\n              <Button\n                type=\"link\"\n                icon={<Eye size={16} />}\n                onClick={() => onViewTools(record)}\n                size=\"small\"\n                disabled={actionsLocked}\n              >\n                {t(\"mcpConfig.serverList.button.viewTools\")}\n              </Button>\n            ) : (\n              <Tooltip\n                title={t(\"mcpConfig.serverList.button.viewToolsDisabledHint\")}\n                placement=\"top\"\n              >\n                  <span style={{ display: \"inline-flex\" }}>\n                    <Button type=\"link\" icon={<Eye size={16} />} size=\"small\" disabled>\n                      {t(\"mcpConfig.serverList.button.viewTools\")}\n                    </Button>\n                  </span>\n              </Tooltip>\n            )}\n            {renderPermissionControlledButton({\n              isReadOnly,\n              button: {\n                type: \"link\",\n                icon: <Settings size={16} />,\n                onClick: () => onEditServer(record),\n                size: \"small\",\n                disabled: actionsLocked,\n                children: t(\"mcpConfig.serverList.button.edit\"),\n              },\n            })}\n            {renderPermissionControlledButton({\n              isReadOnly,\n              button: {\n                type: \"link\",\n                danger: true,\n                icon: <Trash size={16} />,\n                onClick: () => onDeleteServer(record),\n                size: \"small\",\n                disabled: actionsLocked,\n                children: t(\"mcpConfig.serverList.button.delete\"),\n              },\n            })}\n          </Space>\n        );\n      },\n    },\n  ];\n\n  // Container list table columns\n  const containerColumns = [\n    {\n      title: t(\"mcpConfig.containerList.column.name\"),\n      dataIndex: \"name\",\n      key: \"name\",\n      width: \"25%\",\n      ellipsis: true,\n      render: (text: string, record: any) =>\n        text || record.container_id?.substring(0, 12),\n    },\n    {\n      title: t(\"mcpConfig.containerList.column.containerId\"),\n      dataIndex: \"container_id\",\n      key: \"container_id\",\n      width: \"20%\",\n      ellipsis: true,\n      render: (text: string) => text || \"-\",\n    },\n    {\n      title: t(\"mcpConfig.containerList.column.port\"),\n      dataIndex: \"host_port\",\n      key: \"host_port\",\n      width: \"15%\",\n      render: (port: number) => port || \"-\",\n    },\n    {\n      title: t(\"mcpConfig.containerList.column.status\"),\n      dataIndex: \"status\",\n      key: \"status\",\n      width: \"15%\",\n      render: (status: string) => (\n        <span\n          style={{\n            color: status === \"running\" ? \"#52c41a\" : \"#ff4d4f\",\n          }}\n        >\n          {status || \"unknown\"}\n        </span>\n      ),\n    },\n    {\n      title: t(\"mcpConfig.containerList.column.action\"),\n      key: \"action\",\n      width: \"25%\",\n      render: (_: any, record: any) => {\n        const isReadOnly = record.permission === \"READ_ONLY\";\n        return (\n          <Space size=\"small\">\n            <Button\n              type=\"link\"\n              icon={<FileText className=\"size-4\" />}\n              onClick={() => onViewLogs(record.container_id)}\n              size=\"small\"\n              disabled={updatingTools}\n            >\n              {t(\"mcpConfig.containerList.button.viewLogs\")}\n            </Button>\n            {renderPermissionControlledButton({\n              isReadOnly,\n              button: {\n                type: \"link\",\n                danger: true,\n                icon: <Trash className=\"size-4\" />,\n                onClick: () => onDeleteContainer(record),\n                size: \"small\",\n                disabled: actionsLocked,\n                children: t(\"mcpConfig.containerList.button.delete\"),\n              },\n            })}\n          </Space>\n        );\n      },\n    },\n  ];\n\n  return (\n    <>\n      <Modal\n        title={t(\"mcpConfig.modal.title\")}\n        open={visible}\n        onCancel={actionsLocked ? undefined : onCancel}\n        width={1200}\n        closable={!actionsLocked}\n        maskClosable={!actionsLocked}\n        footer={[\n          <Button key=\"cancel\" onClick={onCancel} disabled={actionsLocked}>\n            {actionsLocked\n              ? t(\"mcpConfig.modal.updatingTools\")\n              : t(\"mcpConfig.modal.close\")}\n          </Button>,\n        ]}\n      >\n        <div style={{ padding: \"0 0 16px 0\" }}>\n          {/* Tool update status hint */}\n          {updatingTools && (\n            <div\n              style={{\n                marginBottom: 16,\n                padding: 12,\n                backgroundColor: \"#f6ffed\",\n                border: \"1px solid #b7eb8f\",\n                borderRadius: 6,\n                display: \"flex\",\n                alignItems: \"center\",\n              }}\n            >\n              <LoaderCircle\n                className=\"animate-spin\"\n                style={{\n                  marginRight: 8,\n                  color: \"#52c41a\",\n                  width: 16,\n                  height: 16,\n                }}\n              />\n              <Text style={{ color: \"#52c41a\" }}>\n                {t(\"mcpConfig.status.updatingToolsHint\")}\n              </Text>\n            </div>\n          )}\n\n          {/* Add MCP server tabs */}\n          <Tabs\n            defaultActiveKey=\"remote\"\n            size=\"small\"\n            style={{ marginBottom: 16 }}\n            items={[\n              {\n                key: \"remote\",\n                label: (\n                  <span\n                    style={{\n                      display: \"inline-flex\",\n                      alignItems: \"center\",\n                      gap: 8,\n                    }}\n                  >\n                    <Unplug style={{ width: 16, height: 16 }} />\n                    {t(\"mcpConfig.addServer.title\")}\n                  </span>\n                ),\n                children: (\n                  <Card size=\"small\" style={{ marginTop: 8 }}>\n                    <Space orientation=\"vertical\" style={{ width: \"100%\" }}>\n                      <Space direction=\"vertical\" style={{ width: \"100%\" }} size=\"small\">\n                        <div\n                          style={{\n                            display: \"flex\",\n                            gap: 8,\n                            alignItems: \"center\",\n                          }}\n                        >\n                          <Input\n                            placeholder={t(\"mcpConfig.addServer.namePlaceholder\")}\n                            value={newServerName}\n                            onChange={(e) => setNewServerName(e.target.value)}\n                            style={{ flex: 0.8 }}\n                            maxLength={20}\n                            disabled={actionsLocked || addingServer}\n                          />\n                          <Input\n                            placeholder={t(\"mcpConfig.addServer.urlPlaceholder\")}\n                            value={newServerUrl}\n                            onChange={(e) => setNewServerUrl(e.target.value)}\n                            style={{ flex: 3 }}\n                            disabled={actionsLocked || addingServer}\n                          />\n                        </div>\n                        <div\n                          style={{\n                            display: \"flex\",\n                            gap: 8,\n                            alignItems: \"center\",\n                          }}\n                        >\n                          <Input.Password\n                            placeholder={t(\"mcpConfig.editServer.authorizationTokenPlaceholder\")}\n                            value={newServerAuthorizationToken}\n                            onChange={(e) => setNewServerAuthorizationToken(e.target.value)}\n                            disabled={actionsLocked || addingServer}\n                            style={{ flex: 1 }}\n                          />\n                          <Button\n                            type=\"primary\"\n                            onClick={onAddServer}\n                            loading={addingServer || updatingTools}\n                            icon={\n                              addingServer || updatingTools ? (\n                                <LoaderCircle\n                                  className=\"animate-spin\"\n                                  style={{ width: 16, height: 16 }}\n                                />\n                              ) : (\n                                <Plus style={{ width: 16, height: 16 }} />\n                              )\n                            }\n                            disabled={actionsLocked}\n                          >\n                            {updatingTools\n                              ? t(\"mcpConfig.addServer.button.updating\")\n                              : t(\"mcpConfig.addServer.button.add\")}\n                          </Button>\n                        </div>\n                      </Space>\n                    </Space>\n                  </Card>\n                ),\n              },\n              {\n                key: \"container\",\n                label: (\n                  <span\n                    style={{\n                      display: \"inline-flex\",\n                      alignItems: \"center\",\n                      gap: 8,\n                    }}\n                  >\n                    <Container style={{ width: 16, height: 16 }} />\n                    {t(\"mcpConfig.addContainer.title\")}\n                  </span>\n                ),\n                children: (\n                  <Card size=\"small\" style={{ marginTop: 8 }}>\n                    <Space\n                      orientation=\"vertical\"\n                      style={{ width: \"100%\" }}\n                      size=\"middle\"\n                    >\n                      <div>\n                        <Text\n                          type=\"secondary\"\n                          style={{\n                            fontSize: 12,\n                            display: \"block\",\n                            marginBottom: 8,\n                          }}\n                        >\n                          {t(\"mcpConfig.addContainer.configHint\")}\n                        </Text>\n                        <Input.TextArea\n                          placeholder={t(\n                            \"mcpConfig.addContainer.configPlaceholder\"\n                          )}\n                          value={containerConfigJson}\n                          onChange={(e) =>\n                            setContainerConfigJson(e.target.value)\n                          }\n                          rows={6}\n                          disabled={actionsLocked}\n                          style={{ fontFamily: \"monospace\", fontSize: 12 }}\n                        />\n                      </div>\n                      <div\n                        style={{\n                          display: \"flex\",\n                          gap: 8,\n                          alignItems: \"center\",\n                        }}\n                      >\n                        <Text style={{ minWidth: 80 }}>\n                          {t(\"mcpConfig.addContainer.port\")}:\n                        </Text>\n                        <InputNumber\n                          placeholder={t(\n                            \"mcpConfig.addContainer.portPlaceholder\"\n                          )}\n                          value={containerPort}\n                          onChange={(value) => {\n                            setContainerPort(value === null ? undefined : value);\n                          }}\n                          min={1}\n                          max={65535}\n                          style={{ width: 150 }}\n                          disabled={actionsLocked}\n                          controls={false}\n                        />\n                        <div style={{ flex: 1 }} />\n                        <Button\n                          type=\"primary\"\n                          onClick={onAddContainer}\n                          loading={addingContainer || updatingTools}\n                          icon={\n                            addingContainer || updatingTools ? (\n                              <LoaderCircle\n                                className=\"animate-spin\"\n                                size={16}\n                              />\n                            ) : (\n                              <Plus className=\"size-4\" />\n                            )\n                          }\n                          disabled={actionsLocked}\n                        >\n                          {updatingTools\n                            ? t(\"mcpConfig.addContainer.button.updating\")\n                            : t(\"mcpConfig.addContainer.button.add\")}\n                        </Button>\n                      </div>\n                    </Space>\n                  </Card>\n                ),\n              },\n              ...(enableUploadImage\n                ? [\n                    {\n                      key: \"upload\",\n                      label: (\n                        <span\n                          style={{\n                            display: \"inline-flex\",\n                            alignItems: \"center\",\n                            gap: 8,\n                          }}\n                        >\n                          <UploadIcon style={{ width: 16, height: 16 }} />\n                          {t(\"mcpConfig.uploadImage.title\")}\n                        </span>\n                      ),\n                      children: (\n                        <Card size=\"small\" style={{ marginTop: 8 }}>\n                          <Space\n                            direction=\"vertical\"\n                            style={{ width: \"100%\" }}\n                            size=\"middle\"\n                          >\n                            <div>\n                              <Text\n                                type=\"secondary\"\n                                style={{\n                                  fontSize: 12,\n                                  display: \"block\",\n                                  marginBottom: 8,\n                                }}\n                              >\n                                {t(\"mcpConfig.uploadImage.fileHint\")}\n                              </Text>\n                              <Upload\n                                fileList={uploadFileList}\n                                onChange={({ fileList }) =>\n                                  setUploadFileList(fileList)\n                                }\n                                beforeUpload={() => false}\n                                accept=\".tar\"\n                                maxCount={1}\n                                disabled={actionsLocked}\n                              >\n                                <Button\n                                  icon={<UploadIcon size={16} />}\n                                  disabled={actionsLocked}\n                                >\n                                  {t(\"mcpConfig.uploadImage.button.selectFile\")}\n                                </Button>\n                              </Upload>\n                            </div>\n                            <div\n                              style={{\n                                display: \"flex\",\n                                gap: 8,\n                                alignItems: \"center\",\n                              }}\n                            >\n                              <InputNumber\n                                placeholder={t(\n                                  \"mcpConfig.uploadImage.portPlaceholder\"\n                                )}\n                                value={uploadPort}\n                                onChange={(value) => {\n                                  setUploadPort(value === null ? undefined : value);\n                                }}\n                                min={1}\n                                max={65535}\n                                style={{ width: 150 }}\n                                disabled={actionsLocked}\n                                controls={false}\n                              />\n                              <Input\n                                placeholder={t(\n                                  \"mcpConfig.uploadImage.serviceNamePlaceholder\"\n                                )}\n                                value={uploadServiceName}\n                                onChange={(e) =>\n                                  setUploadServiceName(e.target.value)\n                                }\n                                style={{ flex: 1 }}\n                                disabled={actionsLocked}\n                              />\n                            </div>\n                            <div\n                              style={{\n                                display: \"flex\",\n                                gap: 8,\n                                alignItems: \"center\",\n                              }}\n                            >\n                              <Input.Password\n                                placeholder={t(\"mcpConfig.editServer.authorizationTokenPlaceholder\")}\n                                value={uploadAuthorizationToken}\n                                onChange={(e) =>\n                                  setUploadAuthorizationToken(e.target.value)\n                                }\n                                disabled={actionsLocked}\n                                style={{ flex: 1 }}\n                              />\n                              <Button\n                                type=\"primary\"\n                                onClick={onUploadImage}\n                                loading={uploadingImage || updatingTools}\n                                icon={\n                                  uploadingImage || updatingTools ? (\n                                    <LoaderCircle\n                                      className=\"animate-spin\"\n                                      size={16}\n                                    />\n                                  ) : (\n                                    <Plus className=\"size-4\" />\n                                  )\n                                }\n                                disabled={actionsLocked}\n                              >\n                                {updatingTools\n                                  ? t(\"mcpConfig.addContainer.button.updating\")\n                                  : t(\"mcpConfig.addContainer.button.add\")}\n                              </Button>\n                            </div>\n                          </Space>\n                        </Card>\n                      ),\n                    },\n                  ]\n                : []),\n            ]}\n          />\n\n          <Divider style={{ margin: \"16px 0\" }} />\n\n          {/* Server list */}\n          <div>\n            <div\n              style={{\n                display: \"flex\",\n                justifyContent: \"space-between\",\n                alignItems: \"center\",\n                marginBottom: 12,\n              }}\n            >\n              <Title level={5} style={{ margin: 0 }}>\n                {t(\"mcpConfig.serverList.title\")}\n              </Title>\n            </div>\n            <Table\n              columns={serverColumns}\n              dataSource={serverList}\n              rowKey={(record) => `${record.service_name}-${record.mcp_url}`}\n              loading={loading}\n              size=\"small\"\n              pagination={false}\n              locale={{ emptyText: t(\"mcpConfig.serverList.empty\") }}\n              scroll={{ y: 300 }}\n              style={{ width: \"100%\" }}\n            />\n          </div>\n\n          {/* Container list */}\n          <div>\n            <div\n              style={{\n                display: \"flex\",\n                justifyContent: \"space-between\",\n                alignItems: \"center\",\n                marginBottom: 12,\n              }}\n            >\n              <Title level={5} style={{ margin: 0 }}>\n                {t(\"mcpConfig.containerList.title\")}\n              </Title>\n            </div>\n            <Table\n              columns={containerColumns}\n              dataSource={containerList}\n              rowKey=\"container_id\"\n              loading={loading}\n              size=\"small\"\n              pagination={false}\n              locale={{ emptyText: t(\"mcpConfig.containerList.empty\") }}\n              scroll={{ y: 300 }}\n              style={{ width: \"100%\" }}\n            />\n          </div>\n        </div>\n      </Modal>\n\n      {/* Tool list modal */}\n      <McpToolListModal\n        open={toolsModalVisible}\n        onCancel={() => setToolsModalVisible(false)}\n        loading={loadingTools}\n        tools={currentServerTools}\n        serverName={currentServerName}\n      />\n\n      {/* Edit server modal */}\n      <McpEditServerModal\n        open={editServerModalVisible}\n        onCancel={() => {\n          setEditServerModalVisible(false);\n          setEditingServer(null);\n        }}\n        onSave={onSaveEditedServer}\n        initialName={editingServer?.service_name || \"\"}\n        initialUrl={editingServer?.mcp_url || \"\"}\n        initialAuthorizationToken={editingServer?.authorization_token || null}\n        loading={updatingServer || loadingMcpRecord}\n      />\n\n      {/* Container logs modal */}\n      <McpContainerLogsModal\n        open={logsModalVisible}\n        onCancel={() => setLogsModalVisible(false)}\n        containerId={currentContainerId}\n        tail={500}\n      />\n    </>\n  );\n}\n"
  },
  {
    "path": "frontend/app/[locale]/agents/components/agentConfig/ToolManagement.tsx",
    "content": "\"use client\";\n\nimport { useState, useEffect, useCallback } from \"react\";\nimport { useTranslation } from \"react-i18next\";\nimport ToolConfigModal from \"./tool/ToolConfigModal\";\nimport { ToolGroup, Tool, ToolParam } from \"@/types/agentConfig\";\nimport { Tabs, Collapse, message, Tooltip } from \"antd\";\nimport { useAgentConfigStore } from \"@/stores/agentConfigStore\";\nimport { useToolList } from \"@/hooks/agent/useToolList\";\nimport { usePrefetchKnowledgeBases } from \"@/hooks/useKnowledgeBaseSelector\";\nimport { useConfig } from \"@/hooks/useConfig\";\nimport { updateToolConfig } from \"@/services/agentConfigService\";\nimport { useQueryClient } from \"@tanstack/react-query\";\nimport { useConfirmModal } from \"@/hooks/useConfirmModal\";\n\nimport { Settings, AlertTriangle } from \"lucide-react\";\n\ninterface ToolManagementProps {\n  toolGroups: ToolGroup[];\n  isCreatingMode?: boolean;\n  currentAgentId?: number | undefined;\n}\n\n// Tool types that require knowledge base selection\nconst TOOLS_REQUIRING_KB_SELECTION = [\n  \"knowledge_base_search\",\n  \"dify_search\",\n  \"datamate_search\",\n  \"idata_search\",\n];\n\n// Tool types that require Embedding model\nconst TOOLS_REQUIRING_EMBEDDING = [\n  \"knowledge_base_search\",\n];\n\n// Tool types that require VLM model\nconst TOOLS_REQUIRING_VLM = [\n  \"analyze_image\",\n];\n\nfunction getToolKbType(\n  toolName: string\n): \"knowledge_base_search\" | \"dify_search\" | \"datamate_search\" | \"idata_search\" | null {\n  if (!TOOLS_REQUIRING_KB_SELECTION.includes(toolName)) return null;\n  if (toolName === \"dify_search\") return \"dify_search\";\n  if (toolName === \"datamate_search\") return \"datamate_search\";\n  if (toolName === \"idata_search\") return \"idata_search\";\n  return \"knowledge_base_search\";\n}\n\n/**\n * Check if a tool requires VLM model but VLM is not available\n */\nfunction isToolDisabledDueToVlm(toolName: string, vlmAvailable: boolean): boolean {\n  if (!TOOLS_REQUIRING_VLM.includes(toolName)) return false;\n  return !vlmAvailable;\n}\n\n/**\n * Check if a tool requires Embedding model but Embedding is not available\n */\nfunction isToolDisabledDueToEmbedding(toolName: string, embeddingAvailable: boolean): boolean {\n  if (!TOOLS_REQUIRING_EMBEDDING.includes(toolName)) return false;\n  return !embeddingAvailable;\n}\n\n/**\n * ToolManagement - Component for displaying tools in tabs\n * Provides a tabbed interface for tool organization\n */\nexport default function ToolManagement({\n  toolGroups,\n  isCreatingMode,\n  currentAgentId,\n}: ToolManagementProps) {\n  const { t } = useTranslation(\"common\");\n  const queryClient = useQueryClient();\n  const { confirm } = useConfirmModal();\n\n  // Get current agent permission from store\n  const currentAgentPermission = useAgentConfigStore(\n    (state) => state.currentAgentPermission\n  );\n\n  // Check if current agent is read-only (only when agent is selected and permission is READ_ONLY)\n  const isReadOnly = !isCreatingMode && currentAgentId !== undefined && currentAgentPermission === \"READ_ONLY\";\n\n  const editable = (currentAgentId || isCreatingMode) && !isReadOnly;\n\n  // Get state from store\n  const originalSelectedTools = useAgentConfigStore(\n    (state) => state.editedAgent.tools\n  );\n  const originalSelectedToolIdsSet = new Set(\n    originalSelectedTools.map((tool) => tool.id)\n  );\n\n  const updateTools = useAgentConfigStore((state) => state.updateTools);\n\n  // Use tool list hook for data management\n  const { availableTools } = useToolList();\n\n  const { isVlmAvailable, isEmbeddingAvailable } = useConfig();\n\n  // Prefetch knowledge bases for KB tools\n  const { prefetchKnowledgeBases } = usePrefetchKnowledgeBases();\n\n  const [activeTabKey, setActiveTabKey] = useState<string>(\"\");\n  const [expandedCategories, setExpandedCategories] = useState<Set<string>>(\n    new Set()\n  );\n  const [isToolModalOpen, setIsToolModalOpen] = useState<boolean>(false);\n  const [selectedTool, setSelectedTool] = useState<Tool | null>(null);\n  const [toolParams, setToolParams] = useState<ToolParam[]>([]);\n\n  // Helper function to merge tool parameters with instance parameters\n  const mergeToolParamsWithInstance = async (\n    tool: Tool,\n    defaultTool: Tool,\n    agentId?: number\n  ): Promise<ToolParam[]> => {\n    if (agentId) {\n      try {\n        const { searchToolConfig } =\n          await import(\"@/services/agentConfigService\");\n        const tooInstance = await searchToolConfig(parseInt(tool.id), agentId);\n\n        if (tooInstance.success && tooInstance.data) {\n          // Merge instance params with default params\n          const mergedParams =\n            defaultTool.initParams?.map((param: ToolParam) => {\n              const instanceValue = tooInstance.data?.params?.[param.name];\n              return {\n                ...param,\n                value:\n                  instanceValue !== undefined ? instanceValue : param.value,\n              };\n            }) ||\n            defaultTool.initParams ||\n            [];\n          return mergedParams;\n        } else {\n          return defaultTool.initParams || [];\n        }\n      } catch (error) {\n        console.error(\"Failed to fetch tool instance params:\", error);\n        return defaultTool.initParams || [];\n      }\n    } else {\n      return defaultTool.initParams || [];\n    }\n  };\n\n  // Set default active tab\n  useEffect(() => {\n    if (toolGroups.length > 0 && !activeTabKey) {\n      setActiveTabKey(toolGroups[0].key);\n    }\n  }, [toolGroups, activeTabKey]);\n\n  const handleToolSettingsClick = async (tool: Tool) => {\n    // Prefetch knowledge bases for KB tools\n    const kbType = getToolKbType(tool.name);\n    if (kbType) {\n      prefetchKnowledgeBases(kbType);\n    }\n\n    // Get latest tools directly from store to avoid stale closure issues\n    const currentTools = useAgentConfigStore.getState().editedAgent.tools;\n    const configuredTool = currentTools.find(\n      (t) => parseInt(t.id) === parseInt(tool.id)\n    );\n    // Merge configured tool with original tool to ensure all fields are present\n    const toolToUse = configuredTool ? { ...tool, ...configuredTool, initParams: configuredTool.initParams } : tool;\n\n    // Get merged parameters (for editing mode, merge with instance params)\n    const mergedParams = await mergeToolParamsWithInstance(\n      tool,\n      toolToUse,\n      isCreatingMode ? undefined : currentAgentId\n    );\n\n    setSelectedTool(toolToUse);\n    setToolParams(mergedParams);\n    setIsToolModalOpen(true);\n  };\n\n  const handleToolClick = async (toolId: string) => {\n    const numericId = parseInt(toolId, 10);\n    const tool = availableTools.find((t) => parseInt(t.id) === numericId);\n\n    if (!tool) return;\n\n    // Prefetch knowledge bases for KB tools\n    const kbType = getToolKbType(tool.name);\n    if (kbType) {\n      prefetchKnowledgeBases(kbType);\n    }\n\n    // Get latest tools directly from store to avoid stale closure issues\n    const currentSelectdTools = useAgentConfigStore.getState().editedAgent.tools;\n    const isCurrentlySelected = currentSelectdTools.some(\n      (t) => parseInt(t.id) === numericId\n    );\n\n    if (isCurrentlySelected) {\n      // If already selected, deselect it\n      const newSelectedTools = currentSelectdTools.filter((t) => parseInt(t.id) !== numericId);\n      updateTools(newSelectedTools);\n    } else {\n      // Helper function to proceed with tool selection after duplicate check\n      async function proceedWithToolSelection() {\n        // Get latest tools again to ensure we have the most up-to-date list\n        const currentSelectdTools =\n          useAgentConfigStore.getState().editedAgent.tools;\n\n        // Determine tool params and check if modal is needed\n        const configuredTool = currentSelectdTools.find(\n          (t) => parseInt(t.id) === numericId\n        );\n        // Merge configured tool with original tool to ensure all fields are present\n        const toolToUse = configuredTool\n          ? { ...tool, ...configuredTool, initParams: configuredTool.initParams }\n          : tool;\n\n        // Get merged parameters (for editing mode, merge with instance params)\n        const mergedParams = await mergeToolParamsWithInstance(\n          tool,\n          toolToUse,\n          isCreatingMode ? undefined : currentAgentId!\n        );\n\n        // Check if there are empty required params\n        const hasEmptyRequiredParams = mergedParams.some(\n          (param: ToolParam) =>\n            param.required &&\n            (param.value === undefined ||\n              param.value === \"\" ||\n              param.value === null)\n        );\n\n        if (hasEmptyRequiredParams) {\n          // Need to configure, open modal\n          setSelectedTool(toolToUse);\n          setToolParams(mergedParams);\n          setIsToolModalOpen(true);\n        } else {\n          // No required params missing, add directly\n          const newSelectedTools = [\n            ...currentSelectdTools,\n            {\n              ...toolToUse,\n              initParams: mergedParams,\n            },\n          ];\n          updateTools(newSelectedTools);\n        }\n      }\n\n      // If not selected, check for duplicate tool names first\n      const duplicateTool = currentSelectdTools.find(\n        (selectedTool) => selectedTool.name === tool.name\n      );\n\n      if (duplicateTool) {\n        // Show confirmation modal for duplicate tool name\n        return new Promise<void>((resolve) => {\n          confirm({\n            title: t(\"toolPool.duplicateToolName.title\"),\n            content: t(\"toolPool.duplicateToolName.content\", {\n              toolName: tool.name,\n            }),\n            okText: t(\"toolPool.duplicateToolName.confirm\"),\n            cancelText: t(\"toolPool.duplicateToolName.cancel\"),\n            danger: true,\n            onOk: async () => {\n              // User confirmed, proceed with tool selection\n              await proceedWithToolSelection();\n              resolve();\n            },\n            onCancel: () => {\n              // User cancelled, do nothing\n              resolve();\n            },\n          });\n        });\n      }\n\n      // No duplicate, proceed with normal tool selection\n      await proceedWithToolSelection();\n    }\n  };\n\n  // Generate Tabs configuration\n  const tabItems = toolGroups.map((group) => {\n    // Limit tab display to maximum 7 characters\n    const displayLabel =\n      t(group.label).length > 7\n        ? `${t(group.label).substring(0, 7)}...`\n        : t(group.label);\n\n    return {\n      key: group.key,\n      label: (\n        <span\n          style={{\n            display: \"block\",\n            maxWidth: \"70px\",\n            overflow: \"hidden\",\n            textOverflow: \"ellipsis\",\n            whiteSpace: \"nowrap\",\n          }}\n        >\n          {displayLabel}\n        </span>\n      ),\n      children: (\n        <div\n          className=\"flex h-full flex-col sm:flex-row\"\n          style={{\n            height: \"100%\",\n            overflow: \"hidden\",\n          }}\n        >\n          {group.subGroups ? (\n            <>\n              {/* Collapsible categories using Ant Design Collapse */}\n              <div className=\"flex-1 overflow-y-auto p-1\">\n                <Collapse\n                  activeKey={Array.from(expandedCategories)}\n                  onChange={(keys) => {\n                    const newSet = new Set(\n                      typeof keys === \"string\" ? [keys] : keys\n                    );\n                    setExpandedCategories(newSet);\n                  }}\n                  ghost\n                  size=\"small\"\n                  className=\"tool-categories-collapse mt-1\"\n                  items={group.subGroups.map((subGroup, index) => ({\n                    key: subGroup.key,\n                    label: (\n                      <span\n                        className=\"text-gray-700 font-medium\"\n                        style={{\n                          paddingTop: \"8px\",\n                          paddingBottom: \"8px\",\n                          display: \"block\",\n                          minHeight: \"36px\",\n                          lineHeight: \"20px\",\n                        }}\n                      >\n                        {subGroup.label}\n                      </span>\n                    ),\n                    className: `tool-category-panel ${\n                      index === 0 ? \"mt-1\" : \"mt-3\"\n                    }`,\n                    children: (\n                      <div className=\"space-y-3 pt-3\">\n                        {subGroup.tools.map((tool) => {\n                          const isSelected = originalSelectedToolIdsSet.has(\n                            tool.id\n                          );\n                          const isDisabledDueToVlm = isToolDisabledDueToVlm(tool.name, isVlmAvailable);\n                          const isDisabledDueToEmbedding = isToolDisabledDueToEmbedding(tool.name, isEmbeddingAvailable);\n                          const isDisabled = isDisabledDueToVlm || isDisabledDueToEmbedding || isReadOnly;\n                          // Tooltip priority: permission > VLM > Embedding\n                          const tooltipTitle = isReadOnly\n                            ? t(\"agent.noEditPermission\")\n                            : isDisabledDueToVlm\n                            ? t(\"toolPool.vlmDisabledTooltip\")\n                            : isDisabledDueToEmbedding\n                            ? t(\"toolPool.embeddingDisabledTooltip\")\n                            : undefined;\n                          const toolCard = (\n                            <div\n                              key={tool.id}\n                              className={`border-2 rounded-md p-2 flex items-center justify-between transition-all duration-300 ease-in-out min-h-[52px] shadow-sm ${\n                                isSelected\n                                  ? \"bg-blue-100 border-blue-400 shadow-md\"\n                                  : \"border-gray-200 hover:border-blue-300 hover:shadow-md\"\n                              } ${editable && !isDisabled ? \"cursor-pointer\" : \"cursor-not-allowed opacity-60\"}`}\n                              onClick={\n                                editable && !isDisabled\n                                  ? () => handleToolClick(tool.id)\n                                  : undefined\n                              }\n                            >\n                              <div className=\"flex items-center gap-2\">\n                                <span>{tool.name}</span>\n                                {isDisabledDueToVlm && (\n                                  <Tooltip\n                                    title={t(\"toolPool.vlmDisabledTooltip\")}\n                                    color=\"#ffffff\"\n                                    styles={{\n                                      root: {\n                                        backgroundColor: \"#ffffff\",\n                                        border: \"1px solid #e5e7eb\",\n                                        borderRadius: \"6px\",\n                                        boxShadow:\n                                          \"0 4px 6px -1px rgba(0, 0, 0, 0.1), 0 2px 4px -1px rgba(0, 0, 0, 0.06)\",\n                                        maxWidth: \"800px\",\n                                      },\n                                    }}\n                                  >\n                                    <AlertTriangle size={14} className=\"text-orange-500 cursor-help flex-shrink-0\" />\n                                  </Tooltip>\n                                )}\n                                {isDisabledDueToEmbedding && (\n                                  <Tooltip\n                                    title={t(\"toolPool.embeddingDisabledTooltip\")}\n                                    color=\"#ffffff\"\n                                    styles={{\n                                      root: {\n                                        backgroundColor: \"#ffffff\",\n                                        border: \"1px solid #e5e7eb\",\n                                        borderRadius: \"6px\",\n                                        boxShadow:\n                                          \"0 4px 6px -1px rgba(0, 0, 0, 0.1), 0 2px 4px -1px rgba(0, 0, 0, 0.06)\",\n                                        maxWidth: \"800px\",\n                                      },\n                                    }}\n                                  >\n                                    <AlertTriangle size={14} className=\"text-orange-500 cursor-help flex-shrink-0\" />\n                                  </Tooltip>\n                                )}\n                              </div>\n                              <Settings\n                                size={16}\n                                className={`${editable && !isDisabled ? \"cursor-pointer text-gray-500 hover:text-gray-700\" : \"cursor-not-allowed text-gray-400\"} transition-colors`}\n                                onClick={\n                                  editable && !isDisabled\n                                    ? (e) => {\n                                        e.stopPropagation();\n                                        handleToolSettingsClick(tool);\n                                      }\n                                    : undefined\n                                }\n                              />\n                            </div>\n                          );\n                          return tooltipTitle ? (\n                            <Tooltip key={tool.id} title={tooltipTitle}>\n                              {toolCard}\n                            </Tooltip>\n                          ) : (\n                            toolCard\n                          );\n                        })}\n                      </div>\n                    ),\n                  }))}\n                />\n              </div>\n            </>\n          ) : (\n            // Regular layout for non-local tools\n            <div\n              className=\"flex flex-col gap-3 pr-2 flex-1\"\n              style={{\n                height: \"100%\",\n                overflowY: \"auto\",\n                padding: \"8px 0\",\n                maxHeight: \"100%\",\n              }}\n            >\n              {group.tools.map((tool) => {\n                const isSelected = originalSelectedToolIdsSet.has(tool.id);\n                const isDisabledDueToVlm = isToolDisabledDueToVlm(tool.name, isVlmAvailable);\n                const isDisabledDueToEmbedding = isToolDisabledDueToEmbedding(tool.name, isEmbeddingAvailable);\n                const isDisabled = isDisabledDueToVlm || isDisabledDueToEmbedding || isReadOnly;\n                // Tooltip priority: permission > VLM > Embedding\n                const tooltipTitle = isReadOnly\n                  ? t(\"agent.noEditPermission\")\n                  : isDisabledDueToVlm\n                  ? t(\"toolPool.vlmDisabledTooltip\")\n                  : isDisabledDueToEmbedding\n                  ? t(\"toolPool.embeddingDisabledTooltip\")\n                  : undefined;\n                const toolCard = (\n                  <div\n                    key={tool.id}\n                    className={`border-2 rounded-md p-2 flex items-center justify-between transition-all duration-300 ease-in-out min-h-[52px] shadow-sm ${\n                        isSelected\n                          ? \"bg-blue-100 border-blue-400 shadow-md\"\n                          : \"border-gray-200 hover:border-blue-300 hover:shadow-md\"\n                      } ${editable && !isDisabled ? \"cursor-pointer\" : \"cursor-not-allowed opacity-60\"}`}\n                    onClick={\n                      editable && !isDisabled ? () => handleToolClick(tool.id) : undefined\n                    }\n                  >\n                    <div className=\"flex items-center gap-2\">\n                      <span>{tool.name}</span>\n                      {isDisabledDueToVlm && (\n                        <Tooltip\n                          title={t(\"toolPool.vlmDisabledTooltip\")}\n                          color=\"#ffffff\"\n                          styles={{\n                            root: {\n                              backgroundColor: \"#ffffff\",\n                              border: \"1px solid #e5e7eb\",\n                              borderRadius: \"6px\",\n                              boxShadow:\n                                \"0 4px 6px -1px rgba(0, 0, 0, 0.1), 0 2px 4px -1px rgba(0, 0, 0, 0.06)\",\n                              maxWidth: \"800px\",\n                            },\n                          }}\n                        >\n                          <AlertTriangle size={14} className=\"text-orange-500 cursor-help flex-shrink-0\" />\n                        </Tooltip>\n                      )}\n                      {isDisabledDueToEmbedding && (\n                        <Tooltip\n                          title={t(\"toolPool.embeddingDisabledTooltip\")}\n                          color=\"#ffffff\"\n                          styles={{\n                            root: {\n                              backgroundColor: \"#ffffff\",\n                              border: \"1px solid #e5e7eb\",\n                              borderRadius: \"6px\",\n                              boxShadow:\n                                \"0 4px 6px -1px rgba(0, 0, 0, 0.1), 0 2px 4px -1px rgba(0, 0, 0, 0.06)\",\n                              maxWidth: \"800px\",\n                            },\n                          }}\n                        >\n                          <AlertTriangle size={14} className=\"text-orange-500 cursor-help flex-shrink-0\" />\n                        </Tooltip>\n                      )}\n                    </div>\n                    <Settings\n                      size={16}\n                      className={`${editable && !isDisabled ? \"cursor-pointer text-gray-500 hover:text-gray-700\" : \"cursor-not-allowed text-gray-400\"} transition-colors`}\n                      onClick={\n                        editable && !isDisabled\n                          ? (e) => {\n                              e.stopPropagation();\n                              handleToolSettingsClick(tool);\n                            }\n                          : undefined\n                      }\n                    />\n                  </div>\n                );\n                return tooltipTitle ? (\n                  <Tooltip key={tool.id} title={tooltipTitle}>\n                    {toolCard}\n                  </Tooltip>\n                ) : (\n                  toolCard\n                );\n              })}\n            </div>\n          )}\n        </div>\n      ),\n    };\n  });\n\n  return (\n    <div className=\"h-full\">\n      {toolGroups.length === 0 ? (\n        <div className=\"flex items-center justify-center h-full\">\n          <span className=\"text-gray-500\">{t(\"toolPool.noTools\")}</span>\n        </div>\n      ) : (\n        <Tabs\n          tabPlacement=\"start\"\n          activeKey={activeTabKey}\n          onChange={setActiveTabKey}\n          items={tabItems}\n          className=\"h-full tool-pool-tabs\"\n          style={{\n            height: \"100%\",\n          }}\n          tabBarStyle={{\n            minWidth: \"80px\",\n            maxWidth: \"100px\",\n            padding: \"4px 0\",\n            margin: 0,\n          }}\n        />\n      )}\n\n      {isToolModalOpen && (\n        <ToolConfigModal\n          isOpen={isToolModalOpen}\n          onCancel={() => {\n            setIsToolModalOpen(false);\n            setSelectedTool(null);\n            setToolParams([]);\n          }}\n          tool={selectedTool!}\n          initialParams={toolParams}\n          selectedTool={selectedTool}\n          isCreatingMode={isCreatingMode}\n          currentAgentId={currentAgentId}\n        />\n      )}\n    </div>\n  );\n}\n"
  },
  {
    "path": "frontend/app/[locale]/agents/components/agentConfig/tool/ToolConfigModal.tsx",
    "content": "\"use client\";\n\nimport { useState, useEffect, useCallback, useMemo, useRef } from \"react\";\nimport { useTranslation } from \"react-i18next\";\nimport {\n  Modal,\n  Input,\n  Switch,\n  InputNumber,\n  Tag,\n  Form,\n  message,\n  Select,\n  Skeleton,\n} from \"antd\";\nimport { useQueryClient } from \"@tanstack/react-query\";\nimport { useAgentConfigStore } from \"@/stores/agentConfigStore\";\nimport { CloseOutlined } from \"@ant-design/icons\";\n\nimport { TOOL_PARAM_TYPES, getToolParamOptions } from \"@/const/agentConfig\";\nimport { ToolParam, Tool } from \"@/types/agentConfig\";\nimport { KnowledgeBase } from \"@/types/knowledgeBase\";\nimport ToolTestPanel from \"./ToolTestPanel\";\nimport { updateToolConfig } from \"@/services/agentConfigService\";\nimport KnowledgeBaseSelectorModal from \"@/components/tool-config/KnowledgeBaseSelectorModal\";\nimport { useConfig } from \"@/hooks/useConfig\";\nimport { useKnowledgeBasesForToolConfig } from \"@/hooks/useKnowledgeBaseSelector\";\nimport { useKnowledgeBaseConfigChangeHandler } from \"@/hooks/useKnowledgeBaseConfigChangeHandler\";\nimport { API_ENDPOINTS } from \"@/services/api\";\nimport knowledgeBaseService from \"@/services/knowledgeBaseService\";\nimport log from \"@/lib/logger\";\n\nexport interface ToolConfigModalProps {\n  isOpen: boolean;\n  onCancel: () => void;\n  onSave?: (params: ToolParam[]) => void;\n  tool: Tool;\n  initialParams: ToolParam[];\n  selectedTool?: Tool | null;\n  isCreatingMode?: boolean;\n  currentAgentId?: number;\n}\n\n// Tool types that require knowledge base selection\nconst TOOLS_REQUIRING_KB_SELECTION = [\n  \"knowledge_base_search\",\n  \"dify_search\",\n  \"datamate_search\",\n  \"idata_search\",\n];\n\nexport default function ToolConfigModal({\n  isOpen,\n  onCancel,\n  onSave,\n  tool,\n  initialParams,\n  selectedTool,\n  isCreatingMode,\n  currentAgentId,\n}: ToolConfigModalProps) {\n  const [currentParams, setCurrentParams] = useState<ToolParam[]>([]);\n  const [isLoading, setIsLoading] = useState(false);\n  const { t } = useTranslation(\"common\");\n  const [form] = Form.useForm();\n  const queryClient = useQueryClient();\n  const updateTools = useAgentConfigStore((state) => state.updateTools);\n\n  // Tool test panel visibility state\n  const [testPanelVisible, setTestPanelVisible] = useState(false);\n\n  // Knowledge base selector state\n  const [kbSelectorVisible, setKbSelectorVisible] = useState(false);\n  const [currentKbParamIndex, setCurrentKbParamIndex] = useState<number | null>(\n    null\n  );\n  const [selectedKbIds, setSelectedKbIds] = useState<string[]>([]);\n\n  // Use React Query for config data\n  const { data: configData } = useConfig();\n  const [selectedKbDisplayNames, setSelectedKbDisplayNames] = useState<\n    string[]\n  >([]);\n  // Track if user has attempted to submit the form\n  const [hasSubmitted, setHasSubmitted] = useState(false);\n\n  // Dify configuration state\n  const [difyConfig, setDifyConfig] = useState<{\n    serverUrl: string;\n    apiKey: string;\n  }>({\n    serverUrl: \"\",\n    apiKey: \"\",\n  });\n\n  // iData configuration state\n  const [idataConfig, setIdataConfig] = useState<{\n    serverUrl: string;\n    apiKey: string;\n    userId: string;\n    knowledgeSpaceId: string;\n  }>({\n    serverUrl: \"\",\n    apiKey: \"\",\n    userId: \"\",\n    knowledgeSpaceId: \"\",\n  });\n\n  // iData knowledge spaces state\n  const [idataKnowledgeSpaces, setIdataKnowledgeSpaces] = useState<\n    Array<{ id: string; name: string }>\n  >([]);\n  const [idataKnowledgeSpacesLoading, setIdataKnowledgeSpacesLoading] =\n    useState(false);\n\n  // DataMate URL from knowledge base configuration\n  const [knowledgeBaseDataMateUrl, setKnowledgeBaseDataMateUrl] =\n    useState<string>(\"\");\n  // Track if knowledge base config has changed (server_url or api_key changed)\n  const [hasKbConfigChanged, setHasKbConfigChanged] = useState(false);\n  // Track if user has manually modified the datamate URL field\n  const [hasUserModifiedDatamateUrl, setHasUserModifiedDatamateUrl] =\n    useState(false);\n\n  // Load DataMate URL from knowledge base configuration via React Query cached data\n  const loadKnowledgeBaseDataMateUrl = useCallback(() => {\n    if (configData?.app && typeof configData.app.datamateUrl === \"string\") {\n      setKnowledgeBaseDataMateUrl(configData.app.datamateUrl);\n    }\n  }, [configData]);\n\n  // Check if current tool requires knowledge base selection (must be declared before toolKbType)\n  const toolRequiresKbSelection = useMemo(() => {\n    return TOOLS_REQUIRING_KB_SELECTION.includes(tool?.name);\n  }, [tool?.name]);\n\n  // Get tool type for knowledge base selection\n  const toolKbType = useMemo(():\n    | \"knowledge_base_search\"\n    | \"dify_search\"\n    | \"datamate_search\"\n    | \"idata_search\"\n    | null => {\n    if (!toolRequiresKbSelection) return null;\n    const name = tool?.name;\n    if (name === \"dify_search\") return \"dify_search\";\n    if (name === \"datamate_search\") return \"datamate_search\";\n    if (name === \"idata_search\") return \"idata_search\";\n    return \"knowledge_base_search\";\n  }, [tool?.name, toolRequiresKbSelection]);\n\n  // Get Dify configuration from initial params\n  const difyServerUrlParam = useMemo(() => {\n    return currentParams.find((param) => param.name === \"server_url\");\n  }, [currentParams]);\n\n  const difyApiKeyParam = useMemo(() => {\n    return currentParams.find((param) => param.name === \"api_key\");\n  }, [currentParams]);\n\n  // Initialize Dify config from params\n  useEffect(() => {\n    if (toolKbType === \"dify_search\") {\n      const serverUrl = difyServerUrlParam?.value || \"\";\n      const apiKey = difyApiKeyParam?.value || \"\";\n\n      setDifyConfig({\n        serverUrl,\n        apiKey,\n      });\n    }\n  }, [toolKbType, difyServerUrlParam, difyApiKeyParam]);\n\n  // Get iData configuration from initial params\n  const idataServerUrlParam = useMemo(() => {\n    return currentParams.find((param) => param.name === \"server_url\");\n  }, [currentParams]);\n\n  const idataApiKeyParam = useMemo(() => {\n    return currentParams.find((param) => param.name === \"api_key\");\n  }, [currentParams]);\n\n  const idataUserIdParam = useMemo(() => {\n    return currentParams.find((param) => param.name === \"user_id\");\n  }, [currentParams]);\n\n  const idataKnowledgeSpaceIdParam = useMemo(() => {\n    return currentParams.find((param) => param.name === \"knowledge_space_id\");\n  }, [currentParams]);\n\n  // Initialize iData config from params\n  useEffect(() => {\n    if (toolKbType === \"idata_search\") {\n      const serverUrl = idataServerUrlParam?.value || \"\";\n      const apiKey = idataApiKeyParam?.value || \"\";\n      const userId = idataUserIdParam?.value || \"\";\n      const knowledgeSpaceId = idataKnowledgeSpaceIdParam?.value || \"\";\n\n      setIdataConfig({\n        serverUrl,\n        apiKey,\n        userId,\n        knowledgeSpaceId,\n      });\n    }\n  }, [\n    toolKbType,\n    idataServerUrlParam,\n    idataApiKeyParam,\n    idataUserIdParam,\n    idataKnowledgeSpaceIdParam,\n  ]);\n\n  // Fetch knowledge bases for tool config based on tool type (now uses React Query caching)\n  // For datamate_search, use the server_url from the form as config\n  const datamateServerUrl = useMemo(() => {\n    if (toolKbType === \"datamate_search\") {\n      const serverUrlParam = currentParams.find((p) => p.name === \"server_url\");\n      return serverUrlParam?.value || \"\";\n    }\n    return \"\";\n  }, [toolKbType, currentParams]);\n\n  // Fetch iData knowledge spaces when config is available\n  useEffect(() => {\n    if (\n      toolKbType === \"idata_search\" &&\n      idataConfig.serverUrl &&\n      idataConfig.apiKey &&\n      idataConfig.userId\n    ) {\n      setIdataKnowledgeSpacesLoading(true);\n      knowledgeBaseService\n        .getIdataKnowledgeSpaces(\n          idataConfig.serverUrl,\n          idataConfig.apiKey,\n          idataConfig.userId\n        )\n        .then((spaces) => {\n          setIdataKnowledgeSpaces(spaces);\n          setIdataKnowledgeSpacesLoading(false);\n        })\n        .catch((error) => {\n          log.error(\"Failed to fetch iData knowledge spaces:\", error);\n          setIdataKnowledgeSpaces([]);\n          setIdataKnowledgeSpacesLoading(false);\n        });\n    } else if (toolKbType === \"idata_search\") {\n      setIdataKnowledgeSpaces([]);\n    }\n  }, [\n    toolKbType,\n    idataConfig.serverUrl,\n    idataConfig.apiKey,\n    idataConfig.userId,\n  ]);\n\n  const {\n    data: knowledgeBases = [],\n    isLoading: kbLoading,\n    refetch: refetchKnowledgeBases,\n    clearKnowledgeBases,\n  } = useKnowledgeBasesForToolConfig(\n    toolKbType,\n    toolKbType === \"dify_search\"\n      ? difyConfig\n      : toolKbType === \"datamate_search\"\n        ? { serverUrl: datamateServerUrl }\n        : toolKbType === \"idata_search\"\n          ? idataConfig.serverUrl &&\n            idataConfig.apiKey &&\n            idataConfig.userId &&\n            idataConfig.knowledgeSpaceId\n            ? {\n                serverUrl: idataConfig.serverUrl,\n                apiKey: idataConfig.apiKey,\n                userId: idataConfig.userId,\n                knowledgeSpaceId: idataConfig.knowledgeSpaceId,\n              }\n            : undefined\n          : undefined\n  );\n\n  // Handle config change: clear knowledge base selection and refetch\n  // Uses shared hook for both Dify and DataMate tools\n  const handleKbConfigChange = useCallback(() => {\n    // Mark that config has changed - this prevents restoring from initialParams\n    setHasKbConfigChanged(true);\n\n    // Clear previous knowledge base selection\n    setSelectedKbIds([]);\n    setSelectedKbDisplayNames([]);\n\n    // Clear form value for knowledge base field (index_names or dataset_ids)\n    const kbFieldIndex = currentParams.findIndex(\n      (p) => p.name === \"index_names\" || p.name === \"dataset_ids\"\n    );\n    if (kbFieldIndex >= 0) {\n      form.setFieldValue(`param_${kbFieldIndex}`, []);\n      // Also clear the value in currentParams\n      const updatedParams = [...currentParams];\n      updatedParams[kbFieldIndex] = {\n        ...updatedParams[kbFieldIndex],\n        value: [],\n      };\n      setCurrentParams(updatedParams);\n    }\n\n    // Clear knowledge base list when config changes (API key/URL changed)\n    clearKnowledgeBases();\n\n    // Refetch knowledge bases with new config\n    refetchKnowledgeBases();\n  }, [refetchKnowledgeBases, clearKnowledgeBases, currentParams, form]);\n\n  useKnowledgeBaseConfigChangeHandler({\n    toolKbType,\n    config:\n      toolKbType === \"dify_search\"\n        ? difyConfig\n        : toolKbType === \"datamate_search\"\n          ? { serverUrl: datamateServerUrl }\n          : toolKbType === \"idata_search\"\n            ? {\n                serverUrl: idataConfig.serverUrl,\n                apiKey: idataConfig.apiKey,\n                userId: idataConfig.userId,\n              }\n            : undefined,\n    onConfigChange: handleKbConfigChange,\n  });\n\n  // Handle iData knowledge space ID change: clear knowledge base selection and refetch\n  const prevKnowledgeSpaceIdRef = useRef<string>(\"\");\n  useEffect(() => {\n    if (\n      toolKbType === \"idata_search\" &&\n      idataConfig.knowledgeSpaceId &&\n      idataConfig.serverUrl &&\n      idataConfig.apiKey &&\n      idataConfig.userId\n    ) {\n      // Only trigger if knowledge space ID actually changed\n      // Skip if this is the initial load (prevKnowledgeSpaceIdRef is empty and we have a value from initialParams)\n      if (prevKnowledgeSpaceIdRef.current === idataConfig.knowledgeSpaceId) {\n        return;\n      }\n\n      // If prevKnowledgeSpaceIdRef is empty, this is likely the initial load\n      // Don't clear dataset_ids on initial load, only when space ID actually changes\n      if (prevKnowledgeSpaceIdRef.current === \"\") {\n        // This is initial load, just update the ref without clearing\n        prevKnowledgeSpaceIdRef.current = idataConfig.knowledgeSpaceId;\n        return;\n      }\n\n      // Update ref\n      prevKnowledgeSpaceIdRef.current = idataConfig.knowledgeSpaceId;\n\n      // Clear previous knowledge base selection when space ID changes\n      setSelectedKbIds([]);\n      setSelectedKbDisplayNames([]);\n\n      // Clear form value for dataset_ids field\n      const kbFieldIndex = currentParams.findIndex(\n        (p) => p.name === \"dataset_ids\"\n      );\n      if (kbFieldIndex >= 0) {\n        form.setFieldValue(`param_${kbFieldIndex}`, []);\n        const updatedParams = [...currentParams];\n        updatedParams[kbFieldIndex] = {\n          ...updatedParams[kbFieldIndex],\n          value: [],\n        };\n        setCurrentParams(updatedParams);\n      }\n\n      // Refetch knowledge bases with new space ID\n      refetchKnowledgeBases();\n    } else if (toolKbType === \"idata_search\") {\n      // Reset ref when config is cleared\n      prevKnowledgeSpaceIdRef.current = \"\";\n    }\n  }, [\n    toolKbType,\n    idataConfig.knowledgeSpaceId,\n    idataConfig.serverUrl,\n    idataConfig.apiKey,\n    idataConfig.userId,\n    refetchKnowledgeBases,\n    currentParams,\n    form,\n  ]);\n\n  // Reset prevKnowledgeSpaceIdRef when modal opens/closes\n  useEffect(() => {\n    if (!isOpen) {\n      // Reset ref when modal closes\n      prevKnowledgeSpaceIdRef.current = \"\";\n    } else if (isOpen && toolKbType === \"idata_search\") {\n      // Initialize ref with current knowledgeSpaceId when modal opens\n      // This prevents clearing dataset_ids on initial load\n      if (idataConfig.knowledgeSpaceId) {\n        prevKnowledgeSpaceIdRef.current = idataConfig.knowledgeSpaceId;\n      }\n    }\n  }, [isOpen, toolKbType, idataConfig.knowledgeSpaceId]);\n\n  // Get current embedding model from config for model matching\n  const currentEmbeddingModel = useMemo(() => {\n    try {\n      const modelConfig = configData?.models;\n      return (\n        modelConfig?.embedding?.modelName ||\n        modelConfig?.embedding?.displayName ||\n        null\n      );\n    } catch {\n      return null;\n    }\n  }, [configData]);\n\n  // Check if a knowledge base can be selected\n  const canSelectKnowledgeBase = useCallback(\n    (kb: KnowledgeBase): boolean => {\n      // Empty knowledge bases cannot be selected\n      const isEmpty =\n        (kb.documentCount || 0) === 0 && (kb.chunkCount || 0) === 0;\n      if (isEmpty) {\n        return false;\n      }\n\n      // For nexent source, check model matching\n      if (kb.source === \"nexent\" && currentEmbeddingModel) {\n        if (\n          kb.embeddingModel &&\n          kb.embeddingModel !== \"unknown\" &&\n          kb.embeddingModel !== currentEmbeddingModel\n        ) {\n          return false;\n        }\n      }\n\n      return true;\n    },\n    [currentEmbeddingModel]\n  );\n\n  // Track whether this is the first time opening the modal (reset when modal closes)\n  const [modalOpened, setModalOpened] = useState(false);\n\n  // Reset modal state when modal closes\n  useEffect(() => {\n    if (!isOpen) {\n      setModalOpened(false);\n      setKnowledgeBaseDataMateUrl(\"\");\n      setHasKbConfigChanged(false);\n    }\n  }, [isOpen]);\n\n  // Initialize with provided params and sync display names when knowledgeBases is ready\n  useEffect(() => {\n    // Load DataMate URL from knowledge base configuration\n    // This should run every time the modal opens for datamate_search tool\n    if (tool?.name === \"datamate_search\" && isOpen && !modalOpened) {\n      loadKnowledgeBaseDataMateUrl();\n    }\n  }, [tool?.name, isOpen, modalOpened]);\n\n  // Apply DataMate URL default value for datamate_search tool\n  // This should only run ONCE when modal first opens\n  useEffect(() => {\n    if (!isOpen || !tool || tool.name !== \"datamate_search\") {\n      return;\n    }\n\n    // Mark modal as opened\n    if (!modalOpened) {\n      setModalOpened(true);\n    }\n\n    // Only apply default URL if:\n    // 1. server_url has NO saved value (empty)\n    // 2. knowledgeBaseDataMateUrl IS available\n    // 3. This is the first time opening (modalOpened is false)\n    const serverUrlParam = initialParams.find((p) => p.name === \"server_url\");\n\n    // If server_url already has a saved value, use it\n    if (serverUrlParam?.value) {\n      // Initialize form with saved values (including server_url)\n      setCurrentParams(initialParams);\n      const formValues: Record<string, any> = {};\n      initialParams.forEach((param, index) => {\n        formValues[`param_${index}`] = param.value;\n      });\n      form.setFieldsValue(formValues);\n\n      // Parse initial index_names/dataset_ids value for knowledge base selection\n      const kbParam = initialParams.find(\n        (p) => p.name === \"index_names\" || p.name === \"dataset_ids\"\n      );\n      if (kbParam?.value) {\n        let ids: string[] = [];\n        if (Array.isArray(kbParam.value)) {\n          ids = kbParam.value.map(String);\n        } else if (typeof kbParam.value === \"string\") {\n          try {\n            const parsed = JSON.parse(kbParam.value);\n            if (Array.isArray(parsed)) {\n              ids = parsed.map(String);\n            }\n          } catch {\n            ids = kbParam.value.split(\",\").filter(Boolean);\n          }\n        }\n        if (ids.length > 0) {\n          setSelectedKbIds(ids);\n        }\n      }\n      return;\n    }\n\n    // If we reach here, server_url has no saved value\n    // Apply default from knowledgeBaseDataMateUrl if available\n    // Only apply if user has NOT manually modified the URL field\n    if (knowledgeBaseDataMateUrl && !hasUserModifiedDatamateUrl) {\n      const updatedParams = initialParams.map((param) => {\n        if (param.name === \"server_url\") {\n          return { ...param, value: knowledgeBaseDataMateUrl };\n        }\n        return param;\n      });\n\n      setCurrentParams(updatedParams);\n\n      const formValues: Record<string, any> = {};\n      updatedParams.forEach((param, index) => {\n        formValues[`param_${index}`] = param.value;\n      });\n      form.setFieldsValue(formValues);\n    } else {\n      // Either no default available OR user has modified the URL, initialize with initialParams\n      setCurrentParams(initialParams);\n      const formValues: Record<string, any> = {};\n      initialParams.forEach((param, index) => {\n        formValues[`param_${index}`] = param.value;\n      });\n      form.setFieldsValue(formValues);\n    }\n\n    // Parse initial index_names/dataset_ids value for knowledge base selection\n    const kbParam = initialParams.find(\n      (p) => p.name === \"index_names\" || p.name === \"dataset_ids\"\n    );\n    if (kbParam?.value) {\n      let ids: string[] = [];\n      if (Array.isArray(kbParam.value)) {\n        ids = kbParam.value.map(String);\n      } else if (typeof kbParam.value === \"string\") {\n        try {\n          const parsed = JSON.parse(kbParam.value);\n          if (Array.isArray(parsed)) {\n            ids = parsed.map(String);\n          }\n        } catch {\n          ids = kbParam.value.split(\",\").filter(Boolean);\n        }\n      }\n      if (ids.length > 0) {\n        setSelectedKbIds(ids);\n      }\n    }\n  }, [\n    isOpen,\n    tool,\n    initialParams,\n    knowledgeBaseDataMateUrl,\n    form,\n    modalOpened,\n  ]);\n\n  // When knowledgeBaseDataMateUrl is loaded, check if we need to apply it to the form\n  // This handles the case where the URL was loaded after the initial form setup\n  useEffect(() => {\n    // Only run for datamate_search tool when modal is open\n    if (!isOpen || !tool || tool.name !== \"datamate_search\") {\n      return;\n    }\n\n    // Skip if server_url already has a saved value\n    const serverUrlParam = initialParams.find((p) => p.name === \"server_url\");\n    if (serverUrlParam?.value) {\n      return;\n    }\n\n    // Skip if no knowledgeBaseDataMateUrl available\n    if (!knowledgeBaseDataMateUrl) {\n      return;\n    }\n\n    // Skip if user has manually modified the URL field\n    if (hasUserModifiedDatamateUrl) {\n      return;\n    }\n\n    // Skip if form is already initialized with this URL\n    const existingUrlParam = currentParams.find((p) => p.name === \"server_url\");\n    if (existingUrlParam?.value === knowledgeBaseDataMateUrl) {\n      return;\n    }\n\n    // Apply the loaded URL to the form\n    const updatedParams = initialParams.map((param) => {\n      if (param.name === \"server_url\") {\n        return { ...param, value: knowledgeBaseDataMateUrl };\n      }\n      return param;\n    });\n\n    setCurrentParams(updatedParams);\n\n    const formValues: Record<string, any> = {};\n    updatedParams.forEach((param, index) => {\n      formValues[`param_${index}`] = param.value;\n    });\n    form.setFieldsValue(formValues);\n  }, [\n    isOpen,\n    tool,\n    initialParams,\n    knowledgeBaseDataMateUrl,\n    form,\n    currentParams,\n    hasUserModifiedDatamateUrl,\n  ]);\n\n  // Initialize form values for non-datamate tools\n  useEffect(() => {\n    // Skip if it's datamate_search tool (handled by other useEffects above)\n    if (tool?.name === \"datamate_search\") {\n      return;\n    }\n\n    // Initialize form values\n    setCurrentParams(initialParams);\n    const formValues: Record<string, any> = {};\n    initialParams.forEach((param, index) => {\n      formValues[`param_${index}`] = param.value;\n    });\n    form.setFieldsValue(formValues);\n\n    // Parse initial index_names/dataset_ids value for knowledge base selection\n    if (toolRequiresKbSelection) {\n      // Support both index_names and dataset_ids\n      const kbParam = initialParams.find(\n        (p) => p.name === \"index_names\" || p.name === \"dataset_ids\"\n      );\n      if (kbParam?.value) {\n        let ids: string[] = [];\n        // Value can be an array or a JSON string\n        if (Array.isArray(kbParam.value)) {\n          ids = kbParam.value.map(String);\n        } else if (typeof kbParam.value === \"string\") {\n          try {\n            const parsed = JSON.parse(kbParam.value);\n            if (Array.isArray(parsed)) {\n              ids = parsed.map(String);\n            }\n          } catch {\n            ids = kbParam.value.split(\",\").filter(Boolean);\n          }\n        }\n\n        if (ids.length > 0) {\n          setSelectedKbIds(ids);\n          // If knowledgeBases is already loaded, sync display names immediately\n          if (knowledgeBases.length > 0) {\n            const displayNames = ids.map((id) => {\n              const kb = knowledgeBases.find((k) => k.id === id);\n              return kb?.display_name || kb?.name || id;\n            });\n            setSelectedKbDisplayNames(displayNames);\n          }\n        }\n      }\n    }\n  }, [initialParams, toolRequiresKbSelection, tool?.name, form]);\n\n  // Sync selectedKbDisplayNames when knowledgeBases or selectedKbIds changes\n  useEffect(() => {\n    if (selectedKbIds.length > 0 && knowledgeBases.length > 0) {\n      const displayNames = selectedKbIds.map((id) => {\n        // Use robust ID comparison\n        const kb = knowledgeBases.find(\n          (k) => String(k.id).trim() === String(id).trim()\n        );\n        return kb?.display_name || kb?.name || id;\n      });\n      setSelectedKbDisplayNames(displayNames);\n    }\n  }, [knowledgeBases, selectedKbIds]);\n\n  // Filter selectedKbIds to only include knowledge bases that exist in the current list\n  // This handles cases where knowledge bases are no longer available (e.g., wrong URL)\n  useEffect(() => {\n    if (selectedKbIds.length > 0 && knowledgeBases.length > 0) {\n      const validKbIds = selectedKbIds.filter((id) =>\n        knowledgeBases.some((kb) => String(kb.id).trim() === String(id).trim())\n      );\n      if (validKbIds.length !== selectedKbIds.length) {\n        setSelectedKbIds(validKbIds);\n        // Also update display names\n        const displayNames = validKbIds.map((id) => {\n          const kb = knowledgeBases.find(\n            (k) => String(k.id).trim() === String(id).trim()\n          );\n          return kb?.display_name || kb?.name || id;\n        });\n        setSelectedKbDisplayNames(displayNames);\n      }\n    }\n  }, [knowledgeBases]);\n\n  // Force sync selectedKbIds when modal is about to open (kbSelectorVisible changes to true)\n  // This ensures the modal receives the correct selected IDs\n  useEffect(() => {\n    // Skip if config has changed - don't restore from initialParams after server_url/api_key change\n    if (hasKbConfigChanged) {\n      return;\n    }\n\n    if (\n      kbSelectorVisible &&\n      selectedKbIds.length === 0 &&\n      initialParams.length > 0\n    ) {\n      // Parse initial index_names/dataset_ids value for knowledge base selection\n      if (toolRequiresKbSelection) {\n        const kbParam = initialParams.find(\n          (p) => p.name === \"index_names\" || p.name === \"dataset_ids\"\n        );\n        if (kbParam?.value) {\n          let ids: string[] = [];\n          if (Array.isArray(kbParam.value)) {\n            ids = kbParam.value.map(String);\n          } else if (typeof kbParam.value === \"string\") {\n            try {\n              const parsed = JSON.parse(kbParam.value);\n              if (Array.isArray(parsed)) {\n                ids = parsed.map(String);\n              }\n            } catch {\n              ids = kbParam.value.split(\",\").filter(Boolean);\n            }\n          }\n          if (ids.length > 0) {\n            setSelectedKbIds(ids);\n          }\n        }\n      }\n    }\n  }, [\n    kbSelectorVisible,\n    initialParams,\n    toolRequiresKbSelection,\n    hasKbConfigChanged,\n  ]);\n\n  // Trigger refetch when opening for knowledge base tools (with loading state support)\n  // Skip if initial load was already done to avoid duplicate API calls\n  // Reset when currentAgentId changes (i.e., when switching agents)\n  const hasTriggeredInitialRefetch = useRef(false);\n  const prevAgentIdRef = useRef<number | undefined>(undefined);\n  // Track if sync message has been shown when KB selector opens\n  const hasShownSyncMessageRef = useRef(false);\n\n  // Reset refetch flag when switching agents and invalidate cache to force fresh fetch\n  useEffect(() => {\n    if (currentAgentId !== prevAgentIdRef.current) {\n      prevAgentIdRef.current = currentAgentId;\n      hasTriggeredInitialRefetch.current = false;\n\n      // Invalidate knowledge base cache when switching agents to force fresh fetch\n      // This ensures we get the correct knowledge bases for the new agent's config\n      if (toolKbType === \"dify_search\") {\n        queryClient.invalidateQueries({\n          queryKey: [\"knowledgeBases\", \"list\", \"dify_search\"],\n        });\n      } else if (toolKbType === \"datamate_search\") {\n        queryClient.invalidateQueries({\n          queryKey: [\"knowledgeBases\", \"list\", \"datamate_search\"],\n        });\n      }\n    }\n  }, [currentAgentId, toolKbType, queryClient]);\n\n  useEffect(() => {\n    if (\n      toolRequiresKbSelection &&\n      isOpen &&\n      !hasTriggeredInitialRefetch.current\n    ) {\n      hasTriggeredInitialRefetch.current = true;\n      // For Dify, only refetch if we have valid config\n      if (toolKbType === \"dify_search\") {\n        if (difyConfig.serverUrl && difyConfig.apiKey) {\n          refetchKnowledgeBases();\n        }\n      } else {\n        refetchKnowledgeBases();\n      }\n    }\n  }, [\n    toolRequiresKbSelection,\n    isOpen,\n    refetchKnowledgeBases,\n    toolKbType,\n    difyConfig,\n  ]);\n\n  // Show sync message when knowledge base selector modal opens\n  // This provides immediate feedback on sync status to the user\n  useEffect(() => {\n    // Only trigger when KB selector opens and tool requires KB selection\n    if (kbSelectorVisible && toolRequiresKbSelection && !hasShownSyncMessageRef.current) {\n      // Mark as shown to avoid duplicate messages\n      hasShownSyncMessageRef.current = true;\n\n      // Trigger sync and show message based on result\n      refetchKnowledgeBases()\n        .then((result) => {\n          if (result.isError || result.error) {\n            log.error(\"Failed to sync knowledge bases:\", result.error);\n            // Clear knowledge base list on sync failure\n            clearKnowledgeBases();\n            message.error(t(\"knowledgeBase.message.syncError\"));\n          } else {\n            // Show success message after sync completes\n            message.success(t(\"knowledgeBase.message.syncSuccess\"));\n          }\n        })\n        .catch((error) => {\n          log.error(\"Failed to sync knowledge bases:\", error);\n          // Clear knowledge base list on sync failure\n          clearKnowledgeBases();\n          message.error(t(\"knowledgeBase.message.syncError\"));\n        });\n    }\n  }, [kbSelectorVisible, toolRequiresKbSelection, refetchKnowledgeBases, clearKnowledgeBases, t]);\n\n  // Reset sync message flag when KB selector closes\n  useEffect(() => {\n    if (!kbSelectorVisible) {\n      hasShownSyncMessageRef.current = false;\n    }\n  }, [kbSelectorVisible]);\n\n  // Watch all form values and sync to currentParams\n  const formValues = Form.useWatch([], form);\n  useEffect(() => {\n    if (formValues) {\n      const newParams = [...currentParams];\n      Object.entries(formValues).forEach(([fieldName, value]) => {\n        const index = parseInt(fieldName.replace(\"param_\", \"\"));\n        if (!isNaN(index) && newParams[index]) {\n          newParams[index] = { ...newParams[index], value };\n        }\n      });\n      setCurrentParams(newParams);\n    }\n  }, [formValues]);\n\n  const handleSave = async () => {\n    // Mark that user has attempted to submit the form\n    setHasSubmitted(true);\n\n    try {\n      // Force sync form values to currentParams before validation\n      const latestFormValues = form.getFieldsValue();\n      if (latestFormValues) {\n        const newParams = [...currentParams];\n        Object.entries(latestFormValues).forEach(([fieldName, value]) => {\n          const index = parseInt(fieldName.replace(\"param_\", \"\"));\n          if (!isNaN(index) && newParams[index]) {\n            newParams[index] = { ...newParams[index], value };\n          }\n        });\n        setCurrentParams(newParams);\n      }\n\n      await form.validateFields();\n\n      // Check if knowledge base selector has valid selection (for index_names/dataset_ids fields)\n      // Since these fields use custom UI without form control, we need manual validation\n      if (toolRequiresKbSelection && selectedKbIds.length === 0) {\n        const kbParam = currentParams.find(\n          (p) =>\n            p.required && (p.name === \"index_names\" || p.name === \"dataset_ids\")\n        );\n        if (kbParam) {\n          message.error(t(\"toolConfig.validation.selectKb\"));\n          return;\n        }\n      }\n\n      // Use selectedTool if available, otherwise use tool\n      const toolToSave = selectedTool || tool;\n      if (!toolToSave) {\n        message.error(\"No tool selected\");\n        return;\n      }\n\n      // Convert params to backend format (use the synced params)\n      const paramsObj = currentParams.reduce(\n        (acc, param) => {\n          acc[param.name] = param.value;\n          return acc;\n        },\n        {} as Record<string, any>\n      );\n\n      // Update local state: Add tool to selected tools with updated params\n      const updatedTool = { ...toolToSave, initParams: currentParams };\n      const currentTools = useAgentConfigStore.getState().editedAgent.tools;\n\n      // Check if tool already exists, if so replace it, otherwise add it\n      const existingToolIndex = currentTools.findIndex(\n        (t) => parseInt(t.id) === parseInt(updatedTool.id)\n      );\n\n      let newSelectedTools;\n      if (existingToolIndex >= 0) {\n        // Replace existing tool\n        newSelectedTools = [...currentTools];\n        newSelectedTools[existingToolIndex] = updatedTool;\n      } else {\n        // Add new tool\n        newSelectedTools = [...currentTools, updatedTool];\n      }\n\n      // Update local state only - actual save will happen when user clicks \"Save Agent\"\n      updateTools(newSelectedTools);\n      message.success(t(\"toolConfig.message.saveSuccess\"));\n      handleClose(); // Close modal\n\n      // Call original onSave if provided\n      if (onSave) {\n        onSave(currentParams);\n      }\n    } catch {\n      // Form validation failed, error will be shown by antd Form\n    }\n  };\n\n  const handleClose = () => {\n    setTestPanelVisible(false);\n    // Reset user modification tracking state for datamate URL\n    setHasUserModifiedDatamateUrl(false);\n    onCancel();\n  };\n\n  // Handle tool testing - toggle test panel\n  const handleTestTool = () => {\n    setTestPanelVisible(!testPanelVisible);\n  };\n\n  // Close test panel\n  const handleCloseTestPanel = () => {\n    setTestPanelVisible(false);\n  };\n\n  // Open knowledge base selector\n  const openKbSelector = (paramIndex: number) => {\n    setCurrentKbParamIndex(paramIndex);\n    setKbSelectorVisible(true);\n  };\n\n  // Handle knowledge base selection confirm\n  const handleKbConfirm = (selectedKnowledgeBases: KnowledgeBase[]) => {\n    const ids = selectedKnowledgeBases.map((kb) => kb.id);\n    // Use display_name if available, otherwise fall back to name\n    const displayNames = selectedKnowledgeBases.map(\n      (kb) => kb.display_name || kb.name\n    );\n\n    setSelectedKbIds(ids);\n    setSelectedKbDisplayNames(displayNames);\n    // Reset submit state when user makes a selection\n    setHasSubmitted(false);\n\n    // Update form value\n    if (currentKbParamIndex !== null) {\n      const param = currentParams[currentKbParamIndex];\n      if (param) {\n        // Store as array\n        const formFieldName = `param_${currentKbParamIndex}`;\n        form.setFieldValue(formFieldName, ids);\n\n        // Also update currentParams directly since Form.Item has no name for index_names/dataset_ids\n        const updatedParams = [...currentParams];\n        updatedParams[currentKbParamIndex] = {\n          ...updatedParams[currentKbParamIndex],\n          value: ids,\n        };\n        setCurrentParams(updatedParams);\n      }\n    }\n\n    setKbSelectorVisible(false);\n    setCurrentKbParamIndex(null);\n  };\n\n  // Remove a single knowledge base from selection\n  const removeKbFromSelection = (indexToRemove: number, paramIndex: number) => {\n    const newIds = selectedKbIds.filter((_, i) => i !== indexToRemove);\n    const newDisplayNames = selectedKbDisplayNames.filter(\n      (_, i) => i !== indexToRemove\n    );\n\n    setSelectedKbIds(newIds);\n    setSelectedKbDisplayNames(newDisplayNames);\n    // Reset submit state when user modifies selection\n    setHasSubmitted(false);\n\n    // Update form value\n    const formFieldName = `param_${paramIndex}`;\n    form.setFieldValue(formFieldName, newIds);\n\n    // Also update currentParams directly since Form.Item has no name for index_names/dataset_ids\n    const updatedParams = [...currentParams];\n    updatedParams[paramIndex] = {\n      ...updatedParams[paramIndex],\n      value: newIds,\n    };\n    setCurrentParams(updatedParams);\n  };\n\n  // Get tool type for knowledge base selector\n  const getToolType = ():\n    | \"knowledge_base_search\"\n    | \"dify_search\"\n    | \"datamate_search\"\n    | \"idata_search\" => {\n    return toolKbType || \"knowledge_base_search\";\n  };\n\n  // Render knowledge base selector input (no button, just clickable input)\n  const renderKbSelectorInput = useCallback(\n    (param: ToolParam, index: number) => {\n      const fieldName = `param_${index}`;\n      const formValue = form.getFieldValue(fieldName);\n\n      // Get display names based on current form value and knowledgeBases\n      let displayNames: string[] = [];\n      let ids: string[] = [];\n      if (formValue) {\n        // Value can be an array or a JSON string\n        if (Array.isArray(formValue)) {\n          ids = formValue.map((id) => String(id));\n        } else if (typeof formValue === \"string\") {\n          try {\n            const parsed = JSON.parse(formValue);\n            if (Array.isArray(parsed)) {\n              ids = parsed.map((id) => String(id));\n            }\n          } catch {\n            ids = formValue.split(\",\").filter(Boolean);\n          }\n        }\n\n        // Map IDs to display names\n        if (ids.length > 0 && knowledgeBases.length > 0) {\n          displayNames = ids.map((id) => {\n            const cleanId = id.trim();\n            const kb = knowledgeBases.find((k) => k.id === cleanId);\n            return kb?.display_name || kb?.name || cleanId;\n          });\n        }\n      }\n\n      // Fallback to selectedKbDisplayNames if displayNames is empty\n      if (displayNames.length === 0 && selectedKbDisplayNames.length > 0) {\n        displayNames = selectedKbDisplayNames;\n        ids = selectedKbIds;\n      }\n\n      // Use the actual ids and displayNames for rendering\n      const tagsToRender = ids.length > 0 ? ids : [];\n      const namesToRender = displayNames;\n\n      const placeholder = t(\n        \"toolConfig.input.knowledgeBaseSelector.placeholder\",\n        {\n          name: param.description || param.name,\n        }\n      );\n\n      // Check if this field has validation error\n      // Only show error after user has attempted to submit the form\n      const hasError =\n        hasSubmitted && param.required && selectedKbIds.length === 0;\n\n      return (\n        <div>\n          <div\n            className={`cursor-pointer bg-white border rounded px-3 py-2 transition-colors ${\n              hasError\n                ? \"border-red-500 hover:border-red-500\"\n                : \"border-gray-300 hover:border-blue-400\"\n            }`}\n            onClick={() => openKbSelector(index)}\n            style={{\n              width: \"100%\",\n              minHeight: \"32px\",\n              display: \"flex\",\n              flexWrap: \"wrap\",\n              alignItems: \"center\",\n              gap: \"4px\",\n            }}\n            title={namesToRender.join(\", \")}\n          >\n            {kbLoading && knowledgeBases.length === 0 ? (\n              // Show skeleton loading when fetching knowledge bases\n              <div className=\"flex items-center gap-2 w-full\">\n                <Skeleton.Input active size=\"small\" style={{ width: \"60%\" }} />\n              </div>\n            ) : namesToRender.length > 0 ? (\n              namesToRender.map((name, i) => (\n                <Tag\n                  key={tagsToRender[i]}\n                  closeIcon={\n                    <span className=\"ant-tag-close-icon\">\n                      <CloseOutlined style={{ fontSize: \"10px\" }} />\n                    </span>\n                  }\n                  onClose={(e) => {\n                    e.stopPropagation();\n                    removeKbFromSelection(i, index);\n                  }}\n                  style={{\n                    marginRight: 0,\n                    display: \"inline-flex\",\n                    alignItems: \"center\",\n                    lineHeight: \"20px\",\n                    padding: \"0 8px\",\n                    fontSize: \"13px\",\n                  }}\n                >\n                  {name}\n                </Tag>\n              ))\n            ) : (\n              <span className=\"text-gray-400 text-sm\">{placeholder}</span>\n            )}\n          </div>\n          {/* Show error message when validation fails */}\n          {hasError && (\n            <div\n              className=\"ant-form-item-explain-error\"\n              style={{ marginTop: \"4px\" }}\n            >\n              {t(\"toolConfig.validation.selectKb\")}\n            </div>\n          )}\n        </div>\n      );\n    },\n    [\n      form,\n      knowledgeBases,\n      selectedKbIds,\n      selectedKbDisplayNames,\n      kbLoading,\n      hasSubmitted,\n      t,\n    ]\n  );\n\n  const renderParamInput = (param: ToolParam, index: number) => {\n    // Get field name for form\n    const fieldName = `param_${index}`;\n\n    // Get options from frontend configuration based on tool name and parameter name\n    const options = getToolParamOptions(tool.name, param.name);\n\n    // Determine if this parameter should be rendered as a select dropdown\n    const isSelectType = options && options.length > 0;\n\n    // Special handling for iData knowledge_space_id parameter\n    const isIdataKnowledgeSpaceId =\n      toolKbType === \"idata_search\" && param.name === \"knowledge_space_id\";\n\n    const inputComponent = (() => {\n      // Handle iData knowledge space ID selector\n      if (isIdataKnowledgeSpaceId) {\n        const currentValue = form.getFieldValue(fieldName);\n        return (\n          <Select\n            placeholder={t(\"toolConfig.input.string.placeholder\", {\n              name: param.description,\n            })}\n            loading={idataKnowledgeSpacesLoading}\n            value={currentValue}\n            options={idataKnowledgeSpaces.map((space) => ({\n              value: space.id,\n              label: space.name,\n            }))}\n            onChange={(value) => {\n              // Update idataConfig when space ID changes\n              setIdataConfig((prev) => ({\n                ...prev,\n                knowledgeSpaceId: value || \"\",\n              }));\n              // Also update form value\n              form.setFieldValue(fieldName, value);\n            }}\n          />\n        );\n      }\n\n      // Handle select type - when options are defined in frontend config\n      if (isSelectType) {\n        return (\n          <Select\n            placeholder={t(\"toolConfig.input.string.placeholder\", {\n              name: param.description,\n            })}\n            options={options.map((option) => ({\n              value: option,\n              label: option,\n            }))}\n          />\n        );\n      }\n\n      switch (param.type) {\n        case TOOL_PARAM_TYPES.NUMBER:\n          return (\n            <InputNumber\n              placeholder={t(\"toolConfig.input.string.placeholder\", {\n                name: param.description,\n              })}\n            />\n          );\n\n        case TOOL_PARAM_TYPES.BOOLEAN:\n          return <Switch />;\n\n        case TOOL_PARAM_TYPES.STRING:\n        case TOOL_PARAM_TYPES.ARRAY:\n        case TOOL_PARAM_TYPES.OBJECT:\n        default:\n          // Check if parameter name contains \"password\" for secure input\n          const isPasswordType = param.name.toLowerCase().includes(\"password\");\n\n          if (isPasswordType) {\n            return (\n              <Input.Password\n                placeholder={t(\"toolConfig.input.string.placeholder\", {\n                  name: param.description,\n                })}\n              />\n            );\n          }\n\n          // Default TextArea for all text-like types and unknown types\n          return (\n            <Input.TextArea\n              placeholder={t(`toolConfig.input.${param.type}.placeholder`, {\n                name: param.description,\n              })}\n              autoSize={{ minRows: 1, maxRows: 8 }}\n              style={{ resize: \"vertical\" }}\n            />\n          );\n      }\n    })();\n\n    return inputComponent;\n  };\n\n  if (!tool) return null;\n\n  return (\n    <>\n      <Modal\n        mask={true}\n        maskClosable={false}\n        title={\n          <div className=\"flex justify-between items-center w-full pr-8\">\n            <span>{`${tool?.name}`}</span>\n            <div className=\"flex items-center gap-2\">\n              <Tag\n                color={\n                  tool?.source === \"mcp\"\n                    ? \"blue\"\n                    : tool?.source === \"langchain\"\n                      ? \"orange\"\n                      : \"green\"\n                }\n              >\n                {tool?.source === \"mcp\"\n                  ? t(\"toolPool.tag.mcp\")\n                  : tool?.source === \"langchain\"\n                    ? t(\"toolPool.tag.langchain\")\n                    : t(\"toolPool.tag.local\")}\n              </Tag>\n            </div>\n          </div>\n        }\n        open={isOpen}\n        onCancel={onCancel}\n        onOk={handleSave}\n        okText={t(\"common.button.save\")}\n        cancelText={t(\"common.button.cancel\")}\n        width={600}\n        confirmLoading={isLoading}\n        className=\"tool-config-modal-content\"\n        wrapProps={{ style: { pointerEvents: \"auto\" } }}\n        footer={\n          <div className=\"flex justify-end items-center\">\n            {\n              <button\n                onClick={handleTestTool}\n                disabled={!tool}\n                className=\"flex items-center justify-center px-4 py-2 text-sm border border-gray-300 text-gray-700 rounded hover:bg-gray-50 transition-colors duration-200 h-8 mr-auto\"\n              >\n                {testPanelVisible\n                  ? t(\"toolConfig.button.closeTest\")\n                  : t(\"toolConfig.button.testTool\")}\n              </button>\n            }\n            <div className=\"flex gap-2\">\n              <button\n                onClick={handleClose}\n                className=\"flex items-center justify-center px-4 py-2 text-sm border border-gray-300 text-gray-700 rounded hover:bg-gray-50 transition-colors duration-200 h-8\"\n              >\n                {t(\"common.button.cancel\")}\n              </button>\n              <button\n                onClick={handleSave}\n                disabled={isLoading}\n                className=\"flex items-center justify-center px-4 py-2 text-sm bg-blue-600 text-white rounded hover:bg-blue-700 disabled:opacity-50 disabled:cursor-not-allowed transition-colors duration-200 h-8\"\n              >\n                {isLoading\n                  ? t(\"common.button.saving\")\n                  : t(\"common.button.save\")}\n              </button>\n            </div>\n          </div>\n        }\n      >\n        <div className=\"mb-4\">\n          <p className=\"text-sm text-gray-500 mb-4\">{tool?.description}</p>\n          <div className=\"text-sm font-medium mb-2\">\n            {t(\"toolConfig.title.paramConfig\")}\n          </div>\n          <div style={{ maxHeight: \"500px\", overflow: \"auto\" }}>\n            <Form\n              form={form}\n              layout=\"horizontal\"\n              labelAlign=\"left\"\n              labelCol={{ span: 6 }}\n              wrapperCol={{ span: 18 }}\n              onValuesChange={(changedValues, allValues) => {\n                // Track if user has modified the datamate server_url field\n                if (\n                  tool?.name === \"datamate_search\" &&\n                  knowledgeBaseDataMateUrl &&\n                  !hasUserModifiedDatamateUrl\n                ) {\n                  const serverUrlFieldIndex = currentParams.findIndex(\n                    (p) => p.name === \"server_url\"\n                  );\n                  if (serverUrlFieldIndex >= 0) {\n                    const fieldName = `param_${serverUrlFieldIndex}`;\n                    if (changedValues[fieldName] !== undefined) {\n                      setHasUserModifiedDatamateUrl(true);\n                    }\n                  }\n                }\n              }}\n            >\n              <div className=\"pr-2 mt-3\">\n                {currentParams.map((param, index) => {\n                  const fieldName = `param_${index}`;\n                  const rules: any[] = [];\n\n                  // Add required validation rule\n                  if (param.required) {\n                    rules.push({\n                      required: true,\n                      message: t(\"toolConfig.validation.required\"),\n                    });\n                  }\n\n                  // Add URL validation for server_url parameter\n                  if (param.name === \"server_url\") {\n                    rules.push({\n                      validator: async (_: any, value: any) => {\n                        if (!value) return Promise.resolve();\n                        try {\n                          // Check if value is a valid URL\n                          let url: URL;\n                          try {\n                            url = new URL(value);\n                          } catch {\n                            return Promise.reject(\n                              t(\"knowledgeBase.error.invalidUrlFormat\")\n                            );\n                          }\n                          // Check if protocol is http or https\n                          if (\n                            url.protocol !== \"http:\" &&\n                            url.protocol !== \"https:\"\n                          ) {\n                            return Promise.reject(\n                              t(\"knowledgeBase.error.invalidUrlProtocol\")\n                            );\n                          }\n                          return Promise.resolve();\n                        } catch {\n                          return Promise.reject(\n                            t(\"knowledgeBase.error.invalidUrlFormat\")\n                          );\n                        }\n                      },\n                    });\n                  }\n\n                  // Add custom validator for knowledge base selector fields (index_names/dataset_ids)\n                  // Since these fields use custom display without form control, we need custom validation\n                  if (\n                    toolRequiresKbSelection &&\n                    (param.name === \"index_names\" ||\n                      param.name === \"dataset_ids\")\n                  ) {\n                    rules.push({\n                      validator: async () => {\n                        // Check if any knowledge base has been selected\n                        if (selectedKbIds.length === 0) {\n                          return Promise.reject(\n                            t(\"toolConfig.validation.selectKb\")\n                          );\n                        }\n                        return Promise.resolve();\n                      },\n                    });\n                  }\n\n                  // Add type-specific validation rules\n                  switch (param.type) {\n                    case TOOL_PARAM_TYPES.ARRAY:\n                      rules.push({\n                        validator: async (_: any, value: any) => {\n                          if (!value) return Promise.resolve();\n                          try {\n                            const parsed =\n                              typeof value === \"string\"\n                                ? JSON.parse(value)\n                                : value;\n                            if (!Array.isArray(parsed)) {\n                              return Promise.reject(\n                                t(\"toolConfig.validation.array.invalid\")\n                              );\n                            }\n                            return Promise.resolve();\n                          } catch {\n                            return Promise.reject(\n                              t(\"toolConfig.validation.array.invalid\")\n                            );\n                          }\n                        },\n                      });\n                      break;\n                    case TOOL_PARAM_TYPES.OBJECT:\n                      rules.push({\n                        validator: async (_: any, value: any) => {\n                          if (!value) return Promise.resolve();\n                          try {\n                            const parsed =\n                              typeof value === \"string\"\n                                ? JSON.parse(value)\n                                : value;\n                            if (\n                              typeof parsed !== \"object\" ||\n                              Array.isArray(parsed)\n                            ) {\n                              return Promise.reject(\n                                t(\"toolConfig.validation.object.invalid\")\n                              );\n                            }\n                            return Promise.resolve();\n                          } catch {\n                            return Promise.reject(\n                              t(\"toolConfig.validation.object.invalid\")\n                            );\n                          }\n                        },\n                      });\n                      break;\n                  }\n\n                  return (\n                    <Form.Item\n                      key={param.name}\n                      required={param.required}\n                      label={\n                        <span\n                          className=\"inline-block w-full truncate\"\n                          title={param.name}\n                        >\n                          {param.name}\n                        </span>\n                      }\n                      name={\n                        toolRequiresKbSelection &&\n                        (param.name === \"index_names\" ||\n                          param.name === \"dataset_ids\")\n                          ? undefined\n                          : fieldName\n                      }\n                      rules={rules}\n                      tooltip={{\n                        title: param.description,\n                        placement: \"topLeft\",\n                        styles: { root: { maxWidth: 400 } },\n                      }}\n                    >\n                      {/* For KB selector, use custom display (Form.Item doesn't control value) */}\n                      {toolRequiresKbSelection &&\n                      (param.name === \"index_names\" ||\n                        param.name === \"dataset_ids\")\n                        ? renderKbSelectorInput(param, index)\n                        : renderParamInput(param, index)}\n                    </Form.Item>\n                  );\n                })}\n              </div>\n            </Form>\n          </div>\n          <div>\n            {testPanelVisible && (\n              <ToolTestPanel\n                visible={testPanelVisible}\n                tool={tool}\n                onClose={handleCloseTestPanel}\n                configParams={currentParams}\n              />\n            )}\n          </div>\n        </div>\n      </Modal>\n\n      {/* Knowledge Base Selector Modal */}\n      <KnowledgeBaseSelectorModal\n        isOpen={kbSelectorVisible}\n        onClose={() => setKbSelectorVisible(false)}\n        onConfirm={handleKbConfirm}\n        selectedIds={selectedKbIds}\n        toolType={getToolType()}\n        knowledgeBases={knowledgeBases}\n        isLoading={kbLoading}\n        showCheckbox={true}\n        onSync={async (toolType) => {\n          try {\n            const result = await refetchKnowledgeBases();\n            // Check if refetch has an error - React Query sets isError when queryFn throws\n            // Note: if queryFn catches error internally and returns data, isError will be false\n            // So we need to check both error and isError\n            if (result.isError || result.error) {\n              log.error(\"Failed to sync knowledge bases:\", result.error);\n              // Clear knowledge base list on sync failure\n              clearKnowledgeBases();\n              message.error(t(\"knowledgeBase.message.syncError\"));\n              return;\n            }\n            // Show success message after sync completes\n            message.success(t(\"knowledgeBase.message.syncSuccess\"));\n          } catch (error) {\n            log.error(\"Failed to sync knowledge bases:\", error);\n            // Clear knowledge base list on sync failure\n            clearKnowledgeBases();\n            message.error(t(\"knowledgeBase.message.syncError\"));\n          }\n        }}\n        syncLoading={kbLoading}\n        isSelectable={canSelectKnowledgeBase}\n        currentEmbeddingModel={currentEmbeddingModel}\n        difyConfig={\n          toolKbType === \"dify_search\"\n            ? difyConfig\n            : toolKbType === \"datamate_search\"\n              ? { serverUrl: datamateServerUrl }\n              : toolKbType === \"idata_search\"\n                ? {\n                    serverUrl: idataConfig.serverUrl,\n                    apiKey: idataConfig.apiKey,\n                    userId: idataConfig.userId,\n                    knowledgeSpaceId: idataConfig.knowledgeSpaceId,\n                  }\n                : undefined\n        }\n      />\n    </>\n  );\n}\n"
  },
  {
    "path": "frontend/app/[locale]/agents/components/agentConfig/tool/ToolTestPanel.tsx",
    "content": "\"use client\";\n\nimport { useState, useEffect, useRef } from \"react\";\nimport { useTranslation } from \"react-i18next\";\nimport { Input, Button, Card, Typography, Tooltip, Modal, Form } from \"antd\";\nimport { Settings, PenLine, X } from \"lucide-react\";\n\nimport { Tool, ToolParam } from \"@/types/agentConfig\";\nimport {\n  validateTool,\n  parseToolInputs,\n  extractParameterNames,\n} from \"@/services/agentConfigService\";\nimport log from \"@/lib/logger\";\nimport { DEFAULT_TYPE } from \"@/const/constants\";\n\nconst { Text, Title } = Typography;\n\nexport interface ToolTestPanelProps {\n  /** Whether the test panel is visible */\n  visible: boolean;\n  /** Tool to test */\n  tool: Tool | null;\n  /** Current configuration parameters */\n  configParams: ToolParam[];\n  /** Callback when panel is closed */\n  onClose: () => void;\n}\n\nexport default function ToolTestPanel({\n  visible,\n  tool,\n  configParams,\n  onClose,\n}: ToolTestPanelProps) {\n  const { t } = useTranslation(\"common\");\n  const [form] = Form.useForm();\n\n  // Tool test related state\n  const [testExecuting, setTestExecuting] = useState<boolean>(false);\n  const [testResult, setTestResult] = useState<string>(\"\");\n  const [parsedInputs, setParsedInputs] = useState<Record<string, any>>({});\n  const [parameterValues, setParameterValues] = useState<Record<string, any>>({});\n  const [isManualInputMode, setIsManualInputMode] = useState(false);\n  const [manualJsonInput, setManualJsonInput] = useState<string>(\"\");\n  const [isParseSuccessful, setIsParseSuccessful] = useState<boolean>(false);\n\n  // Initialize test panel when opened\n  useEffect(() => {\n    if (!visible || !tool) {\n      // Reset state when closed\n      setTestResult(\"\");\n      setParsedInputs({});\n      setParameterValues({});\n      setTestExecuting(false);\n      setIsManualInputMode(false);\n      setManualJsonInput(\"\");\n      setIsParseSuccessful(false);\n      form.resetFields();\n      return;\n    }\n\n    // Parse inputs definition from tool inputs field\n    try {\n      const parsedInputs = parseToolInputs(tool.inputs || \"\");\n      // Check if parsing was successful (not empty object)\n      const isSuccessful = Object.keys(parsedInputs).length > 0;\n      setIsParseSuccessful(isSuccessful);\n      if (isSuccessful) {\n        setParsedInputs(parsedInputs);\n\n        // Initialize parameter values and form values from parsed inputs\n        const parameterValues: Record<string, any> = {};\n        const formValues: Record<string, any> = {};\n\n        Object.entries(parsedInputs).forEach(([paramName, paramInfo]) => {\n          const paramType = paramInfo?.type || DEFAULT_TYPE;\n\n          if (\n            paramInfo &&\n            typeof paramInfo === \"object\" &&\n            paramInfo.default != null\n          ) {\n            // Store actual default value\n            parameterValues[paramName] = paramInfo.default;\n\n            // Convert to string for form display\n            switch (paramType) {\n              case \"boolean\":\n                formValues[`param_${paramName}`] = paramInfo.default ? \"true\" : \"false\";\n                break;\n              case \"array\":\n              case \"object\":\n                // JSON.stringify with indentation of 2 spaces for better readability\n                formValues[`param_${paramName}`] = JSON.stringify(\n                  paramInfo.default,\n                  null,\n                  2\n                );\n                break;\n              default:\n                formValues[`param_${paramName}`] = String(paramInfo.default);\n            }\n          } else {\n            parameterValues[paramName] = \"\";\n            formValues[`param_${paramName}`] = \"\";\n          }\n        });\n\n        setParameterValues(parameterValues);\n        form.setFieldsValue(formValues);\n        // Reset to parsed mode when parsing succeeds\n        setIsManualInputMode(false);\n        // Set manual input to current parsed values as default\n        setManualJsonInput(JSON.stringify(parameterValues, null, 2));\n      } else {\n        // Parsing returned empty object, treat as failed\n        setParsedInputs({});\n        setParameterValues({});\n        setIsManualInputMode(true);\n        setManualJsonInput(\"{}\");\n      }\n    } catch (error) {\n      log.error(\"Parameter parsing error:\", error);\n      setParsedInputs({});\n      setParameterValues({});\n      setIsParseSuccessful(false);\n      // When parsing fails, automatically switch to manual input mode\n      setIsManualInputMode(true);\n      setManualJsonInput(\"{}\");\n    }\n  }, [tool]);\n\n  // Close test panel\n  const handleClose = () => {\n    onClose();\n  };\n\n  // Execute tool test\n  const executeTest = async () => {\n    if (!tool) return;\n\n    setTestExecuting(true);\n\n    try {\n      // Prepare parameters for tool validation with correct types\n      const toolParams: Record<string, any> = {};\n\n      if (isManualInputMode) {\n        // Use manual JSON input\n        try {\n          const manualParams = JSON.parse(manualJsonInput);\n          Object.assign(toolParams, manualParams);\n        } catch (error) {\n          log.error(\"Failed to parse manual JSON input:\", error);\n          setTestResult(`Test failed: Invalid JSON format in manual input`);\n          return;\n        }\n      } else {\n        // Use parsed parameters from form\n        const formValues = form.getFieldsValue();\n        Object.keys(parameterValues).forEach((paramName) => {\n          const value = formValues[`param_${paramName}`];\n          const paramInfo = parsedInputs[paramName];\n          const paramType = paramInfo?.type || DEFAULT_TYPE;\n\n          if (value && value.trim() !== \"\") {\n            // Convert value to correct type based on parameter type from inputs\n            switch (paramType) {\n              case \"integer\":\n              case \"number\":\n                const numValue = Number(value.trim());\n                if (!isNaN(numValue)) {\n                  toolParams[paramName] = numValue;\n                } else {\n                  toolParams[paramName] = value.trim(); // fallback to string if conversion fails\n                }\n                break;\n              case \"boolean\":\n                toolParams[paramName] = value.trim().toLowerCase() === \"true\";\n                break;\n              case \"array\":\n              case \"object\":\n                try {\n                  toolParams[paramName] = JSON.parse(value.trim());\n                } catch {\n                  toolParams[paramName] = value.trim(); // fallback to string if JSON parsing fails\n                }\n                break;\n              default:\n                toolParams[paramName] = value.trim();\n            }\n          }\n        });\n      }\n\n      // Prepare configuration parameters from currentParams\n      const configs = (configParams || []).reduce(\n        (acc: Record<string, any>, param: ToolParam) => {\n          acc[param.name] = param.value;\n          return acc;\n        },\n        {} as Record<string, any>\n      );\n\n      // Call validateTool with parameters\n      const result = await validateTool(\n        tool.origin_name || tool.name,\n        tool.source, // Tool source\n        tool.usage || \"\", // Tool usage\n        toolParams, // tool input parameters\n        configs // tool configuration parameters\n      );\n\n      // Format the JSON string response\n      let formattedResult: string;\n      try {\n        const parsedResult =\n          typeof result === \"string\" ? JSON.parse(result) : result;\n        formattedResult = JSON.stringify(parsedResult, null, 2);\n      } catch (parseError) {\n        log.error(\"Failed to parse JSON result:\", parseError);\n        formattedResult = typeof result === \"string\" ? result : String(result);\n      }\n      setTestResult(formattedResult);\n    } catch (error) {\n      log.error(\"Tool test execution failed:\", error);\n      setTestResult(`Test failed: ${error}`);\n    } finally {\n      setTestExecuting(false);\n    }\n  };\n\n  if (!tool) return null;\n\n  return (\n\n    <div className=\"mb-4\" >\n      <div>\n        {/* Input parameters section with conditional toggle */}\n        {Object.keys(parameterValues).length > 0 && (\n          <>\n            <div\n              style={{\n                display: \"flex\",\n                alignItems: \"center\",\n                justifyContent: \"space-between\",\n                marginBottom: 8,\n              }}\n            >\n              <Text strong style={{ display: \"block\", marginBottom: 8 }}>\n                {t(\"toolConfig.toolTest.inputParams\")}\n              </Text>\n              {/* Only show toggle button if parsing was successful */}\n              {isParseSuccessful && (\n                <Button\n                  type=\"text\"\n                  size=\"small\"\n                  icon={\n                    isManualInputMode ? (\n                      <Settings size={16} />\n                    ) : (\n                      <PenLine size={16} />\n                    )\n                  }\n                  onClick={() => {\n                    const newMode = !isManualInputMode;\n                    setIsManualInputMode(newMode);\n\n                    if (newMode) {\n                      // Switching to manual mode - get values from form\n                      const currentFormValues = form.getFieldsValue();\n                      const currentParamsJson: Record<string, any> = {};\n\n                      Object.keys(parameterValues).forEach((paramName) => {\n                        const formValue = currentFormValues[`param_${paramName}`];\n                        if (formValue && formValue.trim() !== \"\") {\n                          const paramInfo = parsedInputs[paramName];\n                          const paramType = paramInfo?.type || DEFAULT_TYPE;\n\n                          try {\n                            switch (paramType) {\n                              case \"integer\":\n                              case \"number\":\n                                currentParamsJson[paramName] = Number(\n                                  formValue.trim()\n                                );\n                                break;\n                              case \"boolean\":\n                                currentParamsJson[paramName] =\n                                  formValue.trim().toLowerCase() === \"true\";\n                                break;\n                              case \"array\":\n                              case \"object\":\n                                currentParamsJson[paramName] = JSON.parse(\n                                  formValue.trim()\n                                );\n                                break;\n                              default:\n                                currentParamsJson[paramName] = formValue.trim();\n                            }\n                          } catch {\n                            currentParamsJson[paramName] = formValue.trim();\n                          }\n                        }\n                      });\n                      setManualJsonInput(\n                        JSON.stringify(currentParamsJson, null, 2)\n                      );\n                    } else {\n                      // Switching to parsed mode - parse manual JSON and set to form\n                      try {\n                        const manualParams = JSON.parse(manualJsonInput);\n                        const formValues: Record<string, any> = {};\n\n                        Object.keys(parameterValues).forEach((paramName) => {\n                          const manualValue = manualParams[paramName];\n                          const paramInfo = parsedInputs[paramName];\n                          const paramType = paramInfo?.type || DEFAULT_TYPE;\n\n                          if (manualValue !== undefined) {\n                            // Convert to string for display based on parameter type\n                            switch (paramType) {\n                              case \"boolean\":\n                                formValues[`param_${paramName}`] = manualValue\n                                  ? \"true\"\n                                  : \"false\";\n                                break;\n                              case \"array\":\n                              case \"object\":\n                                formValues[`param_${paramName}`] =\n                                  JSON.stringify(manualValue, null, 2);\n                                break;\n                              default:\n                                formValues[`param_${paramName}`] =\n                                  String(manualValue);\n                            }\n                          } else {\n                            formValues[`param_${paramName}`] = \"\";\n                          }\n                        });\n                        form.setFieldsValue(formValues);\n                      } catch (error) {\n                        log.error(\n                          \"Failed to sync manual input to parsed mode:\",\n                          error\n                        );\n                      }\n                    }\n                  }}\n                >\n                  {isManualInputMode\n                    ? t(\"toolConfig.toolTest.parseMode\")\n                    : t(\"toolConfig.toolTest.manualInput\")}\n                </Button>\n              )}\n            </div>\n\n            <Form\n              form={form}\n              layout=\"horizontal\"\n              labelAlign=\"left\"\n              labelCol={{ span: 6 }}\n              wrapperCol={{ span: 18 }}\n            >\n              {isManualInputMode ? (\n                // Manual JSON input mode\n              <Form.Item className=\"w-full\" wrapperCol={{ span: 24 }}>\n                <Input.TextArea\n                  value={manualJsonInput}\n                  onChange={(e) => setManualJsonInput(e.target.value)}\n                  rows={6}\n                  style={{ fontFamily: \"monospace\", width: \"100%\" }}\n                />\n              </Form.Item>\n              ) : (\n                // Parsed parameters mode\n                Object.keys(parameterValues).length > 0 && (\n                  <>\n                    {Object.keys(parameterValues).map((paramName) => {\n                      const paramInfo = parsedInputs[paramName];\n                      const description =\n                        paramInfo &&\n                        typeof paramInfo === \"object\" &&\n                        paramInfo.description\n                          ? paramInfo.description\n                          : paramName;\n\n                      const fieldName = `param_${paramName}`;\n                      const rules: any[] = [];\n\n                      // Add type-specific validation rules\n                      switch (paramInfo?.type || DEFAULT_TYPE) {\n                        case \"array\":\n                          rules.push({\n                            validator: (_: any, value: any) => {\n                              if (!value) return Promise.resolve();\n                              try {\n                                const parsed =\n                                  typeof value === \"string\"\n                                    ? JSON.parse(value)\n                                    : value;\n                                if (!Array.isArray(parsed)) {\n                                  return Promise.reject(\n                                    t(\"toolConfig.validation.array.invalid\")\n                                  );\n                                }\n                              } catch {\n                                return Promise.reject(\n                                  t(\"toolConfig.validation.array.invalid\")\n                                );\n                              }\n                            },\n                          });\n                          break;\n                        case \"object\":\n                          rules.push({\n                            validator: (_: any, value: any) => {\n                              if (!value) return Promise.resolve();\n                              try {\n                                const parsed =\n                                  typeof value === \"string\"\n                                    ? JSON.parse(value)\n                                    : value;\n                                if (\n                                  typeof parsed !== \"object\" ||\n                                  Array.isArray(parsed)\n                                ) {\n                                  return Promise.reject(\n                                    t(\"toolConfig.validation.object.invalid\")\n                                  );\n                                }\n                                return Promise.resolve();\n                              } catch {\n                                return Promise.reject(\n                                  t(\"toolConfig.validation.object.invalid\")\n                                );\n                              }\n                            },\n                          });\n                          break;\n                      }\n\n                      return (\n                        <Form.Item\n                          key={paramName}\n                          label={\n                            <span\n                              style={{ width: \"100%\" }}\n                              title={paramName}\n                            >\n                              {paramName}\n                            </span>\n                          }\n                          name={fieldName}\n                          rules={rules}\n                          tooltip={{\n                            title: description,\n                            placement: \"topLeft\",\n                            styles: { root: { maxWidth: 400 } },\n                          }}\n                        >\n                          <Input\n                            placeholder={description}\n                          />\n                        </Form.Item>\n                      );\n                    })}\n                  </>\n                )\n              )}\n            </Form>\n          </>\n        )}\n\n        <Button\n          type=\"primary\"\n          onClick={executeTest}\n          loading={testExecuting}\n          disabled={testExecuting}\n          style={{ width: \"100%\" }}\n        >\n          {testExecuting\n            ? t(\"toolConfig.toolTest.executing\")\n            : t(\"toolConfig.toolTest.execute\")}\n        </Button>\n      </div>\n      {/* Test result */}\n      <div className=\"mt-3\">\n        <Text strong style={{ display: \"block\", marginBottom: 8 }}>\n          {t(\"toolConfig.toolTest.result\")}\n        </Text>\n        <Input.TextArea\n          value={testResult}\n          readOnly\n          rows={8}\n          style={{\n            backgroundColor: \"#f5f5f5\",\n            resize: \"none\",\n          }}\n        />\n      </div>\n    </div>\n  );\n}\n"
  },
  {
    "path": "frontend/app/[locale]/agents/components/agentInfo/AgentGenerateDetail.tsx",
    "content": "\"use client\";\n\nimport { useState, useEffect, useMemo } from \"react\";\nimport { useTranslation } from \"react-i18next\";\nimport {\n  Button,\n  Tooltip,\n  Tabs,\n  Form,\n  Input,\n  Select,\n  InputNumber,\n  Row,\n  Col,\n  Flex,\n  Card,\n  App,\n} from \"antd\";\nimport type { TabsProps } from \"antd\";\nimport { Zap, Maximize2 } from \"lucide-react\";\n\nimport log from \"@/lib/logger\";\nimport { AgentProfileInfo, AgentBusinessInfo } from \"@/types/agentConfig\";\nimport { useAgentList } from \"@/hooks/agent/useAgentList\";\nimport {\n  GENERATE_PROMPT_STREAM_TYPES,\n} from \"@/const/agentConfig\";\nimport { generatePromptStream } from \"@/services/promptService\";\nimport { useAuthorizationContext } from \"@/components/providers/AuthorizationProvider\";\nimport { useDeployment } from \"@/components/providers/deploymentProvider\";\nimport { useModelList } from \"@/hooks/model/useModelList\";\nimport { useConfig } from \"@/hooks/useConfig\";\nimport { useTenantList } from \"@/hooks/tenant/useTenantList\";\nimport { useGroupList } from \"@/hooks/group/useGroupList\";\nimport { USER_ROLES } from \"@/const/auth\";\nimport { Can } from \"@/components/permission/Can\";\nimport { useAgentConfigStore } from \"@/stores/agentConfigStore\";\nimport ExpandEditModal from \"./ExpandEditModal\";\n\nconst { TextArea } = Input;\n\nexport interface AgentGenerateDetailProps {\n  editable: boolean;\n  currentAgentId?: number | null;\n  isGenerating: boolean;\n  setIsGenerating: (value: boolean) => void;\n}\n\nexport default function AgentGenerateDetail({\n  editable = false,\n  isGenerating,\n  setIsGenerating,\n}: AgentGenerateDetailProps) {\n  const { t } = useTranslation(\"common\");\n  const { message } = App.useApp();\n  const { user, groupIds: allowedGroupIds } = useAuthorizationContext();\n  const { isSpeedMode } = useDeployment();\n  const [form] = Form.useForm();\n\n  const isCreatingMode = useAgentConfigStore((state) => state.isCreatingMode);\n  const editedAgent = useAgentConfigStore((state) => state.editedAgent);\n  const currentAgentId = useAgentConfigStore((state) => state.currentAgentId);\n  const updateBusinessInfo = useAgentConfigStore((state) => state.updateBusinessInfo);\n  const updateProfileInfo = useAgentConfigStore((state) => state.updateProfileInfo);\n\n  // Model data: default LLM name from config, resolve to full model from model list\n  const { defaultLlmModelName } = useConfig();\n  const { availableLlmModels, models, isLoading: loadingModels } = useModelList();\n  const defaultLlmModel = useMemo(() => {\n    if (defaultLlmModelName) {\n      const found = availableLlmModels.find(\n        (m) => m.name === defaultLlmModelName || m.displayName === defaultLlmModelName\n      );\n      if (found) return found;\n      return models.find(\n        (m) =>\n          m.type === \"llm\" &&\n          (m.name === defaultLlmModelName || m.displayName === defaultLlmModelName)\n      );\n    }\n    // No default configured: use the first available LLM, or undefined if none\n    return availableLlmModels[0];\n  }, [defaultLlmModelName, availableLlmModels, models]);\n\n  // Tenant & group data for group selection\n  const { data: tenantData } = useTenantList();\n  const tenantId = user?.tenantId ?? tenantData?.data?.[0]?.tenant_id ?? null;\n  const { data: groupData } = useGroupList(tenantId);\n\n  // Agent list for name uniqueness validation (use local data instead of API call)\n  const { agents: agentList } = useAgentList(tenantId);\n  const groups = groupData?.groups || [];\n\n  // State management\n  const [activeTab, setActiveTab] = useState<string>(\"agent-info\");\n\n  // Local state to track generated content (fix for stream data not syncing with form state)\n  const [generatedContent, setGeneratedContent] = useState({\n    dutyPrompt: \"\",\n    constraintPrompt: \"\",\n    fewShotsPrompt: \"\",\n    agentName: \"\",\n    agentDescription: \"\",\n    agentDisplayName: \"\",\n  });\n\n  // Modal states\n  const [expandModalOpen, setExpandModalOpen] = useState(false);\n  const [expandModalType, setExpandModalType] = useState<'duty' | 'constraint' | 'few-shots' | null>(null);\n\n  // Only show \"no edit permission\" tooltip when the panel is active and agent is read-only.\n  // Note: when no agent is selected, AgentInfoComp shows an overlay and we should not show\n  // this tooltip in that state.\n  const showNoEditPermissionTip =\n    !editable && currentAgentId !== null && currentAgentId !== undefined;\n\n  const noEditPermissionTitle = showNoEditPermissionTip\n    ? t(\"agent.noEditPermission\")\n    : undefined;\n\n  const wrapNoEditTooltipBlock = (node: React.ReactNode) => {\n    return (\n      <Tooltip title={noEditPermissionTitle}>\n        <span style={{ display: \"block\" }}>{node}</span>\n      </Tooltip>\n    );\n  };\n\n  const wrapNoEditTooltipInline = (node: React.ReactNode) => {\n    return (\n      <Tooltip title={noEditPermissionTitle}>\n        <span style={{ display: \"inline-block\" }}>{node}</span>\n      </Tooltip>\n    );\n  };\n\n\n  const stylesObject: TabsProps[\"styles\"] = {\n    root: {},\n    header: {},\n    item: {\n      fontWeight: \"500\",\n      color: \"#000\",\n      padding: `6px 10px`,\n      textAlign: \"center\",\n      backgroundColor: \"#fff\",\n    },\n    indicator: { height: 4 },\n    content: {\n      backgroundColor: \"#fff\",\n      borderWidth: 1,\n      padding: \"8px \",\n      borderRadius: \"0 0 8px 8px\",\n      height: \"100%\",\n    },\n  };\n\n  // Local state for business info to avoid frequent updates\n  const [businessInfo, setBusinessInfo] = useState({\n    businessDescription: \"\",\n    businessLogicModelName: \"\",\n    businessLogicModelId: 0,\n  });\n\n  const normalizeNumberArray = (value: unknown): number[] => {\n    const arr = Array.isArray(value) ? value : [];\n    return Array.from(\n      new Set(arr.map((id) => Number(id)).filter((id) => Number.isFinite(id)))\n    ).sort((a, b) => a - b);\n  };\n\n  const groupSelectOptions = useMemo(() => {\n    const selectedIds = normalizeNumberArray(editedAgent.group_ids || []);\n    const allowedSet = new Set(normalizeNumberArray(allowedGroupIds || []));\n    const canSelectAllGroups =\n      user?.role === USER_ROLES.SU ||\n      user?.role === USER_ROLES.ADMIN ||\n      user?.role === USER_ROLES.SPEED;\n\n    const baseGroups = canSelectAllGroups\n      ? groups\n      : groups.filter((g) => allowedSet.has(g.group_id));\n\n    const baseSet = new Set(baseGroups.map((g) => g.group_id));\n    const groupById = new Map(groups.map((g) => [g.group_id, g] as const));\n\n    const options: Array<{ label: string; value: number; disabled?: boolean }> =\n      baseGroups.map((g) => ({\n        label: g.group_name,\n        value: g.group_id,\n      }));\n\n    // Keep already-selected groups visible even if they are not selectable (disabled).\n    for (const id of selectedIds) {\n      if (baseSet.has(id)) continue;\n      const g = groupById.get(id);\n      options.push({\n        label: g?.group_name ?? `Group ${id}`,\n        value: id,\n        disabled: true,\n      });\n    }\n\n    return options;\n  }, [allowedGroupIds, editedAgent.group_ids, groups, user?.role]);\n\n  // Initialize form values when component mounts or currentAgentId changes\n  useEffect(() => {\n\n    const initialAgentInfo: Record<string, any> = {\n      agentName: editedAgent.name || \"\",\n      agentDisplayName: editedAgent.display_name || \"\",\n      agentAuthor: editedAgent.author || user?.email || (isSpeedMode ? \"Default User\" : \"\"),\n      mainAgentModel:\n        editedAgent.model || defaultLlmModel?.displayName || \"\",\n      mainAgentMaxStep: editedAgent.max_step || 5,\n      agentDescription: editedAgent.description || \"\",\n      group_ids: normalizeNumberArray(editedAgent.group_ids || []),\n      ingroup_permission: editedAgent.ingroup_permission || \"READ_ONLY\",\n      dutyPrompt: editedAgent.duty_prompt || \"\",\n      constraintPrompt: editedAgent.constraint_prompt || \"\",\n      fewShotsPrompt: editedAgent.few_shots_prompt || \"\",\n    };\n\n    if (isCreatingMode) {\n      delete initialAgentInfo.group_ids;\n    }\n\n    const initialBusinessInfo = {\n      businessDescription: editedAgent.business_description || \"\",\n      businessLogicModelName:\n        editedAgent.business_logic_model_name ||\n        defaultLlmModel?.displayName ||\n        \"\",\n      businessLogicModelId:\n        editedAgent.business_logic_model_id || defaultLlmModel?.id || 0,\n    };\n    // Initialize local business description state\n    setBusinessInfo(initialBusinessInfo);\n\n    form.setFieldsValue(initialAgentInfo);\n    // Sync model to store if not already set (e.g., in create mode with default model)\n    if (isCreatingMode && defaultLlmModel) {\n      updateProfileInfo({\n        model: defaultLlmModel.displayName || \"\",\n        model_id: defaultLlmModel.id || 0,\n      });\n    }\n    // Sync author to store if not already set (e.g., in create mode with default user email)\n    const defaultAuthor = editedAgent.author || user?.email || (isSpeedMode ? \"Default User\" : \"\");\n    if (!editedAgent.author && defaultAuthor) {\n      updateProfileInfo({\n        author: defaultAuthor,\n      });\n    }\n\n  }, [currentAgentId, defaultLlmModel?.id, isCreatingMode, editedAgent.ingroup_permission]);\n\n  // Default to selecting all groups when creating a new agent.\n  // Only applies when groups are loaded and no group is selected yet.\n  useEffect(() => {\n    const isCreateMode = editable && (currentAgentId === null || currentAgentId === undefined);\n    if (!isCreateMode) return;\n    if (!groups || groups.length === 0) return;\n\n    const currentGroupIds = normalizeNumberArray(editedAgent.group_ids || []);\n    if (currentGroupIds.length > 0) return;\n\n    const allowedSet = new Set(normalizeNumberArray(allowedGroupIds || []));\n    const canSelectAllGroups =\n      user?.role === USER_ROLES.SU ||\n      user?.role === USER_ROLES.ADMIN ||\n      user?.role === USER_ROLES.SPEED;\n    const selectableGroups = canSelectAllGroups\n      ? groups\n      : groups.filter((g) => allowedSet.has(g.group_id));\n\n    const allGroupIds = normalizeNumberArray(selectableGroups.map((g) => g.group_id));\n    if (allGroupIds.length === 0) return;\n\n    form.setFieldsValue({ group_ids: allGroupIds });\n    updateProfileInfo\n    ({ group_ids: allGroupIds });\n    // eslint-disable-next-line react-hooks/exhaustive-deps\n  }, [editable, currentAgentId, groups, allowedGroupIds, user?.role]);\n\n  // Handle business description change\n  const handleBusinessDescriptionChange = (value: string) => {\n    updateBusinessInfo({\n      business_description: value,\n      business_logic_model_id: businessInfo.businessLogicModelId,\n      business_logic_model_name: businessInfo.businessLogicModelName,\n    });\n  };\n\n  // Handle model selection for generation\n  const handleModelChange = (modelName: string) => {\n    const selectedModel = availableLlmModels.find(\n      (m) => m.name === modelName || m.displayName === modelName\n    );\n    // Update local state so the Select component reflects the change\n    setBusinessInfo((prev) => ({\n      ...prev,\n      businessLogicModelName: modelName,\n      businessLogicModelId: selectedModel?.id || 0,\n    }));\n    updateBusinessInfo({\n      business_description: businessInfo.businessDescription || \"\",\n      business_logic_model_id: selectedModel?.id || 0,\n      business_logic_model_name: modelName,\n    });\n  };\n\n  // Handle expand modal functions\n  const handleOpenExpandModal = (type: 'duty' | 'constraint' | 'few-shots') => {\n    if (!editable) return;\n    setExpandModalType(type);\n    setExpandModalOpen(true);\n  };\n\n  const renderExpandButton = (type: \"duty\" | \"constraint\" | \"few-shots\") => {\n    return wrapNoEditTooltipInline(\n      <Button\n        onClick={() => handleOpenExpandModal(type)}\n        title={t(\"systemPrompt.button.expand\")}\n        icon={<Maximize2 size={12} />}\n        size=\"small\"\n        type=\"text\"\n        disabled={!editable || isGenerating}\n      />\n    );\n  };\n\n  const promptEditorStyle: React.CSSProperties = {\n    width: \"100%\",\n    height: \"100%\",\n    resize: \"none\",\n    border: \"none\",\n    outline: \"none\",\n    boxShadow: \"none\",\n    display: \"block\",\n    flex: 1,\n    minHeight: 0,\n  };\n\n  const renderPromptEditor = (\n    fieldName: \"dutyPrompt\" | \"constraintPrompt\" | \"fewShotsPrompt\",\n    placeholder: string,\n    onBlurUpdate: (value: string) => void\n  ) => {\n    const item = (\n      <Form.Item name={fieldName} className=\"mb-0 h-full\">\n        <TextArea\n          placeholder={placeholder}\n          style={promptEditorStyle}\n          disabled={!editable || isGenerating}\n          onBlur={(e) => onBlurUpdate(e.target.value)}\n        />\n      </Form.Item>\n    );\n\n    return showNoEditPermissionTip ? (\n      <Tooltip title={t(\"agent.noEditPermission\")}>\n        <div className=\"h-full\">{item}</div>\n      </Tooltip>\n    ) : (\n      item\n    );\n  };\n\n  const handleCloseExpandModal = () => {\n    setExpandModalOpen(false);\n    setExpandModalType(null);\n  };\n\n  const handleSaveExpandModal = (content: string) => {\n    switch (expandModalType) {\n      case 'duty':\n        form.setFieldsValue({ dutyPrompt: content });\n        updateProfileInfo({ duty_prompt: content });\n        break;\n      case 'constraint':\n        form.setFieldsValue({ constraintPrompt: content });\n        updateProfileInfo({ constraint_prompt: content });\n        break;\n      case 'few-shots':\n        form.setFieldsValue({ fewShotsPrompt: content });\n        updateProfileInfo({ few_shots_prompt: content });\n        break;\n    }\n    handleCloseExpandModal();\n  };\n\n  const getExpandModalTitle = () => {\n    switch (expandModalType) {\n      case 'duty':\n        return t(\"systemPrompt.card.duty.title\");\n      case 'constraint':\n        return t(\"systemPrompt.card.constraint.title\");\n      case 'few-shots':\n        return t(\"systemPrompt.card.fewShots.title\");\n      default:\n        return \"\";\n    }\n  };\n\n  const getExpandModalContent = () => {\n    switch (expandModalType) {\n      case 'duty':\n        return form.getFieldValue(\"dutyPrompt\") || \"\";\n      case 'constraint':\n        return form.getFieldValue(\"constraintPrompt\") || \"\";\n      case 'few-shots':\n        return form.getFieldValue(\"fewShotsPrompt\") || \"\";\n      default:\n        return \"\";\n    }\n  };\n\n  // Generic validator for agent field uniqueness - use local agent list instead of API call\n  const validateAgentFieldUnique = async (\n    _: any,\n    value: string,\n    fieldName: \"name\" | \"display_name\",\n    errorKey: \"nameExists\" | \"displayNameExists\"\n  ) => {\n    if (!value) return Promise.resolve();\n\n    // Check if field value already exists in local agent list (excluding current agent)\n    const isDuplicated = agentList?.some(\n      (agent: { name?: string; display_name?: string; id?: string | number }) =>\n        (agent as any)[fieldName] === value &&\n        Number(agent.id) !== currentAgentId\n    );\n\n    if (isDuplicated) {\n      return Promise.reject(\n        new Error(t(`agent.error.${errorKey}`, { [fieldName]: value }))\n      );\n    }\n    return Promise.resolve();\n  };\n\n  // Custom validator for agent name uniqueness\n  const validateAgentNameUnique = async (_: any, value: string) => {\n    return validateAgentFieldUnique(_, value, \"name\", \"nameExists\");\n  };\n\n  // Custom validator for agent display name uniqueness\n  const validateAgentDisplayNameUnique = async (_: any, value: string) => {\n    return validateAgentFieldUnique(_, value, \"display_name\", \"displayNameExists\");\n  };\n\n  const handleGenerateAgent = async () => {\n    // Validate business description\n    if (\n      !businessInfo.businessDescription ||\n      businessInfo.businessDescription.trim() === \"\"\n    ) {\n      message.error(\n        t(\"businessLogic.config.error.businessDescriptionRequired\")\n      );\n      return;\n    }\n\n    // Validate model selection\n    if (!businessInfo.businessLogicModelId) {\n      message.error(\"Please select a model first\");\n      return;\n    }\n\n    setIsGenerating(true);\n    setActiveTab(\"few-shots\");\n    try {\n      await generatePromptStream(\n        {\n          agent_id: currentAgentId || 0,\n          task_description: businessInfo.businessDescription,\n          model_id: businessInfo.businessLogicModelId.toString(),\n          sub_agent_ids: editedAgent.sub_agent_id_list,\n          tool_ids: Array.isArray(editedAgent.tools)\n            ? editedAgent.tools.map((tool: any) =>\n              typeof tool === \"object\" && tool.id !== undefined\n                ? tool.id\n                : tool\n            )\n            : [],\n        },\n        (data) => {\n          // Process streaming response data\n\n          switch (data.type) {\n            case GENERATE_PROMPT_STREAM_TYPES.DUTY:\n              form.setFieldsValue({ dutyPrompt: data.content });\n              setGeneratedContent((prev) => ({\n                ...prev,\n                dutyPrompt: data.content,\n              }));\n              break;\n            case GENERATE_PROMPT_STREAM_TYPES.CONSTRAINT:\n              form.setFieldsValue({ constraintPrompt: data.content });\n              setGeneratedContent((prev) => ({\n                ...prev,\n                constraintPrompt: data.content,\n              }));\n              break;\n            case GENERATE_PROMPT_STREAM_TYPES.FEW_SHOTS:\n              form.setFieldsValue({ fewShotsPrompt: data.content });\n              setGeneratedContent((prev) => ({\n                ...prev,\n                fewShotsPrompt: data.content,\n              }));\n              break;\n            case GENERATE_PROMPT_STREAM_TYPES.AGENT_VAR_NAME:\n              if (!form.getFieldValue(\"agentName\")?.trim()) {\n                form.setFieldsValue({ agentName: data.content });\n              }\n              setGeneratedContent((prev) => ({\n                ...prev,\n                agentName: data.content,\n              }));\n              break;\n            case GENERATE_PROMPT_STREAM_TYPES.AGENT_DESCRIPTION:\n              form.setFieldsValue({ agentDescription: data.content });\n              setGeneratedContent((prev) => ({\n                ...prev,\n                agentDescription: data.content,\n              }));\n              break;\n            case GENERATE_PROMPT_STREAM_TYPES.AGENT_DISPLAY_NAME:\n              // Only update if current agent display name is empty\n              if (!form.getFieldValue(\"agentDisplayName\")?.trim()) {\n                form.setFieldsValue({ agentDisplayName: data.content });\n              }\n              setGeneratedContent((prev) => ({\n                ...prev,\n                agentDisplayName: data.content,\n              }));\n              break;\n          }\n        },\n        (error) => {\n          log.error(\"Generate prompt stream error:\", error);\n          // Try to get i18n translated message using error code, fallback to backend message or default\n          let errorMessage = t(\"businessLogic.config.message.generateError\");\n          if (error?.code) {\n            const i18nKey = `errorCode.${error.code}`;\n            const translated = t(i18nKey);\n            // Check if translation exists (i18next returns the key if not found)\n            if (translated !== i18nKey) {\n              errorMessage = translated;\n            } else if (error?.message) {\n              errorMessage = error.message;\n            }\n          } else if (error?.message) {\n            errorMessage = error.message;\n          }\n          message.error(errorMessage);\n          setIsGenerating(false);\n        },\n        () => {\n          // After generation completes, get all form values and update parent component state\n          // Use generatedContent state as fallback to ensure we get the streamed data\n          const formValues = form.getFieldsValue();\n          const profileUpdates: AgentProfileInfo = {\n            name: generatedContent.agentName || formValues.agentName,\n            display_name: generatedContent.agentDisplayName || formValues.agentDisplayName,\n            author: formValues.agentAuthor,\n            model: formValues.mainAgentModel,\n            max_step: formValues.mainAgentMaxStep,\n            description: generatedContent.agentDescription || formValues.agentDescription,\n            duty_prompt: generatedContent.dutyPrompt || formValues.dutyPrompt,\n            constraint_prompt: generatedContent.constraintPrompt || formValues.constraintPrompt,\n            few_shots_prompt: generatedContent.fewShotsPrompt || formValues.fewShotsPrompt,\n            ingroup_permission: formValues.ingroup_permission || \"READ_ONLY\",\n          };\n\n          // Update profile info in global agent config store\n          updateProfileInfo(profileUpdates);\n\n          // Reset generated content state after updating\n          setGeneratedContent({\n            dutyPrompt: \"\",\n            constraintPrompt: \"\",\n            fewShotsPrompt: \"\",\n            agentName: \"\",\n            agentDescription: \"\",\n            agentDisplayName: \"\",\n          });\n\n          message.success(t(\"businessLogic.config.message.generateSuccess\"));\n          setIsGenerating(false);\n        }\n      );\n    } catch (error) {\n      log.error(\"Generate agent error:\", error);\n      message.error(t(\"businessLogic.config.message.generateError\"));\n      setIsGenerating(false);\n    }\n  };\n\n  // Select options for available models\n  const modelSelectOptions = availableLlmModels.map((model) => ({\n    value: model.displayName || model.name,\n    label: model.displayName || model.name,\n    disabled: model.connect_status !== \"available\",\n  }));\n\n  // Tab items configuration\n  const tabItems = [\n    {\n      key: \"agent-info\",\n      label: t(\"agent.info.title\"),\n      children: (\n        <div className=\"overflow-y-auto overflow-x-hidden h-full px-3\">\n          <Row gutter={[16, 16]}>\n            <Col span={24}>\n              {wrapNoEditTooltipBlock(\n                <Form form={form} layout=\"vertical\" disabled={!editable || isGenerating}>\n                <Form.Item\n                  name=\"agentDisplayName\"\n                  label={t(\"agent.displayName\")}\n                  rules={[\n                    {\n                      required: true,\n                      message: t(\"agent.info.name.error.empty\"),\n                    },\n                    {\n                      max: 50,\n                      message: t(\"agent.info.name.error.length\"),\n                    },\n                    { validator: validateAgentDisplayNameUnique },\n                  ]}\n                  validateTrigger={[\"onBlur\"]}\n                  className=\"mb-3\"\n                >\n                  <Input\n                    placeholder={t(\"agent.displayNamePlaceholder\")}\n                    onBlur={(e) =>\n                      updateProfileInfo({ display_name: e.target.value })\n                    }\n                  />\n                </Form.Item>\n\n                <Form.Item\n                  name=\"agentName\"\n                  label={t(\"agent.name\")}\n                  rules={[\n                    {\n                      required: true,\n                      message: t(\"agent.info.name.error.empty\"),\n                    },\n                    { max: 50, message: t(\"agent.info.name.error.length\") },\n                    {\n                      pattern: /^[a-zA-Z_][a-zA-Z0-9_]*$/,\n                      message: t(\"agent.info.name.error.format\"),\n                    },\n                    { validator: validateAgentNameUnique },\n                  ]}\n                  validateTrigger={[\"onBlur\"]}\n                  className=\"mb-3\"\n                >\n                  <Input\n                    placeholder={t(\"agent.namePlaceholder\")}\n                    onChange={(e) =>\n                      updateProfileInfo({ name: e.target.value })\n                    }\n                  />\n                </Form.Item>\n\n                <Can permission=\"group:read\">\n                  <Form.Item\n                    name=\"group_ids\"\n                    label={t(\"agent.userGroup\")}\n                    className=\"mb-3\"\n                  >\n                    <Select\n                      mode=\"multiple\"\n                      placeholder={t(\"agent.userGroup\")}\n                      options={groupSelectOptions}\n                      allowClear\n                      onChange={(value) => {\n                        const nextGroupIds = normalizeNumberArray(value || []);\n                        const currentGroupIds = normalizeNumberArray(\n                          editedAgent.group_ids || []\n                        );\n                        if (\n                          JSON.stringify(nextGroupIds) ===\n                          JSON.stringify(currentGroupIds)\n                        ) {\n                          return;\n                        }\n                        updateProfileInfo({ group_ids: nextGroupIds });\n                      }}\n                    />\n                  </Form.Item>\n                </Can>\n\n                <Can permission=\"group:read\">\n                  <Form.Item\n                    name=\"ingroup_permission\"\n                    label={t(\"tenantResources.knowledgeBase.permission\")}\n                    className=\"mb-3\"\n                  >\n                    <Select\n                      placeholder={t(\"tenantResources.knowledgeBase.permission\")}\n                      options={[\n                        { value: \"EDIT\", label: t(\"tenantResources.knowledgeBase.permission.EDIT\") },\n                        { value: \"READ_ONLY\", label: t(\"tenantResources.knowledgeBase.permission.READ_ONLY\") },\n                        { value: \"PRIVATE\", label: t(\"tenantResources.knowledgeBase.permission.PRIVATE\") },\n                      ]}\n                      onChange={(value) => {\n                        updateProfileInfo({ ingroup_permission: value });\n                      }}\n                    />\n                  </Form.Item>\n                </Can>\n\n                <Form.Item\n                  name=\"agentAuthor\"\n                  label={t(\"agent.author\")}\n                  rules={[\n                    {\n                      required: true,\n                      message: t(\"agent.authorPlaceholder\"),\n                    },\n                  ]}\n                  className=\"mb-3\"\n                >\n                  <Input\n                    placeholder={t(\"agent.authorPlaceholder\")}\n                    onBlur={(e) =>\n                      updateProfileInfo({ author: e.target.value })\n                    }\n                  />\n                </Form.Item>\n\n                <Form.Item\n                  name=\"mainAgentModel\"\n                  label={t(\"businessLogic.config.model\")}\n                  rules={[\n                    {\n                      required: true,\n                      message: t(\"businessLogic.config.modelPlaceholder\"),\n                    },\n                  ]}\n                  help={\n                    availableLlmModels.length === 0 &&\n                    t(\"businessLogic.config.error.noAvailableModels\")\n                  }\n                  className=\"mb-3\"\n                >\n                  <Select\n                    placeholder={t(\"businessLogic.config.modelPlaceholder\")}\n                    onChange={(value) => {\n                      const selectedModel = availableLlmModels.find(\n                        (m) => m.displayName === value\n                      );\n                      updateProfileInfo({\n                        model: value,\n                        model_id: selectedModel?.id || 0,\n                      });\n                    }}\n                  >\n                    {availableLlmModels.map((model) => (\n                      <Select.Option\n                        key={model.id}\n                        value={model.displayName}\n                        disabled={model.connect_status !== \"available\"}\n                      >\n                        {model.displayName}\n                      </Select.Option>\n                    ))}\n                  </Select>\n                </Form.Item>\n\n                <Form.Item\n                  name=\"mainAgentMaxStep\"\n                  label={t(\"businessLogic.config.maxSteps\")}\n                  rules={[\n                    {\n                      required: true,\n                      message: t(\"businessLogic.config.maxSteps\"),\n                    },\n                    {\n                      type: \"number\",\n                      min: 1,\n                      max: 20,\n                      message: t(\"businessLogic.config.maxSteps\"),\n                    },\n                  ]}\n                  className=\"mb-3\"\n                >\n                  <InputNumber\n                    min={1}\n                    max={20}\n                    style={{ width: \"100%\" }}\n                    onBlur={() => {\n                      const value = form.getFieldValue(\"mainAgentMaxStep\");\n                      updateProfileInfo({ max_step: value || 1 });\n                    }}\n                  />\n                </Form.Item>\n\n                <Form.Item\n                  name=\"agentDescription\"\n                  label={t(\"agent.description\")}\n                  className=\"mb-3\"\n                >\n                  <TextArea\n                    placeholder={t(\"agent.descriptionPlaceholder\")}\n                    rows={6}\n                    style={{ minHeight: \"150px\" }}\n                    onBlur={(e) =>\n                      updateProfileInfo({ description: e.target.value })\n                    }\n                  />\n                </Form.Item>\n              </Form>\n              )}\n            </Col>\n          </Row>\n        </div>\n      ),\n    },\n    {\n      key: \"duty\",\n      label: t(\"systemPrompt.card.duty.title\"),\n      children: (\n        <div className=\"overflow-y-auto overflow-x-hidden h-full relative\">\n          <div className=\"absolute top-2 right-2 z-10\">\n            {renderExpandButton(\"duty\")}\n          </div>\n          <Form\n            form={form}\n            layout=\"vertical\"\n            className=\"h-full agent-config-form\"\n            disabled={isGenerating}\n          >\n            {renderPromptEditor(\n              \"dutyPrompt\",\n              t(\"systemPrompt.card.duty.title\"),\n              (value) => updateProfileInfo({ duty_prompt: value })\n            )}\n          </Form>\n        </div>\n      ),\n    },\n    {\n      key: \"constraint\",\n      label: t(\"systemPrompt.card.constraint.title\"),\n      children: (\n        <div className=\"overflow-y-auto overflow-x-hidden h-full relative\">\n          <div className=\"absolute top-2 right-2 z-10\">\n            {renderExpandButton(\"constraint\")}\n          </div>\n          <Form\n            form={form}\n            layout=\"vertical\"\n            className=\"h-full agent-config-form\"\n            disabled={isGenerating}\n          >\n            {renderPromptEditor(\n              \"constraintPrompt\",\n              t(\"systemPrompt.card.constraint.title\"),\n              (value) => updateProfileInfo({ constraint_prompt: value })\n            )}\n          </Form>\n        </div>\n      ),\n    },\n    {\n      key: \"few-shots\",\n      label: t(\"systemPrompt.card.fewShots.title\"),\n      children: (\n        <div className=\"overflow-y-auto overflow-x-hidden h-full relative\">\n          <div className=\"absolute top-2 right-2 z-10\">\n            {renderExpandButton(\"few-shots\")}\n          </div>\n          <Form\n            form={form}\n            layout=\"vertical\"\n            className=\"h-full agent-config-form\"\n            disabled={isGenerating}\n          >\n            {renderPromptEditor(\n              \"fewShotsPrompt\",\n              t(\"systemPrompt.card.fewShots.title\"),\n              (value) => updateProfileInfo({ few_shots_prompt: value })\n            )}\n          </Form>\n        </div>\n      ),\n    },\n  ];\n\n  return (\n    <Flex vertical className=\"h-full\">\n      {/* Business Logic Section */}\n      <Row gutter={[12, 12]} className=\"mb-4\">\n        <Col xs={24}>\n          <h4 className=\"text-md font-medium text-gray-700\">\n            {t(\"businessLogic.title\")}\n          </h4>\n        </Col>\n        <Col xs={24}>\n          <Flex className=\"w-full\">\n            <Card\n              className=\"w-full rounded-md\"\n              styles={{ body: { padding: \"16px\" } }}\n            >\n              {wrapNoEditTooltipBlock(\n                <Input.TextArea\n                  value={businessInfo.businessDescription}\n                  onChange={(e) =>\n                    setBusinessInfo((prev) => ({\n                      ...prev,\n                      businessDescription: e.target.value,\n                    }))\n                  }\n                  onBlur={() =>\n                    handleBusinessDescriptionChange(\n                      businessInfo.businessDescription\n                    )\n                  }\n                  placeholder={t(\"businessLogic.placeholder\")}\n                  className=\"w-full resize-none text-sm mb-2\"\n                  style={{\n                    minHeight: \"80px\",\n                    maxHeight: \"160px\",\n                    border: \"none\",\n                    boxShadow: \"none\",\n                    padding: 0,\n                    background: \"transparent\",\n                    overflowX: \"hidden\",\n                    overflowY: \"auto\",\n                  }}\n                  autoSize={false}\n                  disabled={!editable || isGenerating}\n                />\n              )}\n\n              {/* Control area */}\n              <Flex style={{ width: \"100%\" }} align=\"center\">\n                <div style={{ flex: 1, display: \"flex\", alignItems: \"center\", minWidth: 0 }}>\n                  <span className=\"text-xs text-gray-600 mr-3\">\n                    {t(\"model.type.llm\")}:\n                  </span>\n                  <Select\n                    value={businessInfo.businessLogicModelName}\n                    onChange={handleModelChange}\n                    loading={loadingModels}\n                    placeholder={t(\"model.select.placeholder\")}\n                    options={modelSelectOptions}\n                    size=\"middle\"\n                    disabled={!editable || isGenerating}\n                    style={{\n                      flex: 1,\n                      minWidth: 0,\n                      maxWidth: '300px',\n                      overflow: 'hidden',\n                      textOverflow: 'ellipsis',\n                      whiteSpace: 'nowrap'\n                    }}\n                  />\n                </div>\n                <div style={{ marginLeft: 12 }}>\n                  {wrapNoEditTooltipInline(\n                    <Button\n                      type=\"primary\"\n                      size=\"middle\"\n                      onClick={handleGenerateAgent}\n                      disabled={!editable || loadingModels || isGenerating}\n                      icon={<Zap size={16} />}\n                    >\n                      <span className=\"button-text-full\">\n                        {isGenerating\n                          ? t(\"businessLogic.config.button.generating\")\n                          : t(\"businessLogic.config.button.generatePrompt\")}\n                      </span>\n                    </Button>\n                  )}\n                </div>\n              </Flex>\n            </Card>\n          </Flex>\n        </Col>\n      </Row>\n\n      {/* Agent Detail Section */}\n      <Row gutter={[12, 12]} className=\"mb-3\">\n        <Col xs={24}>\n          <h4 className=\"text-md font-medium text-gray-700\">\n            {t(\"agent.detailContent.title\")}\n          </h4>\n        </Col>\n      </Row>\n\n      {/* Tabs Content */}\n      <Row className=\"flex:1 min-h-0 h-full\">\n        <Col className=\"w-full h-full\">\n          <Tabs\n            centered\n            activeKey={activeTab}\n            onChange={(key) => {\n              setActiveTab(key);\n            }}\n            items={tabItems}\n            size=\"middle\"\n            type=\"card\"\n            tabBarStyle={{}}\n            tabBarGutter={0}\n            styles={stylesObject}\n            className=\"agent-config-tabs h-full\"\n          />\n        </Col>\n      </Row>\n\n      {/* style={{ height: \"100%\" }}\n      className=\"agent-config-tabs\" */}\n\n      {/* Fix tabs not adapting to height and make tabs evenly distributed (overriding Ant Design's default styles) */}\n      <style jsx global>{`\n        .agent-config-tabs .ant-tabs-nav-list {\n          width: 100% !important;\n          display: flex !important;\n          transform: none !important;\n          transition: none !important;\n          justify-content: center !important;\n        }\n\n        /* Each tab is fixed to 1/4 of parent width */\n        .agent-config-tabs .ant-tabs-tab {\n          flex: 0 0 25% !important;\n          max-width: 25% !important;\n          box-sizing: border-box;\n        }\n\n        /* Ensure text in tab is horizontally centered and shows ellipsis when overflow */\n        .agent-config-tabs .ant-tabs-tab-btn {\n          display: block;\n          width: 100%;\n          overflow: hidden;\n          text-overflow: ellipsis;\n          white-space: nowrap;\n          text-align: center;\n        }\n\n        /* Selected state style: blue background, white text */\n        .agent-config-tabs .ant-tabs-tab-active {\n          background-color: #1890ff !important;\n        }\n\n        .agent-config-tabs .ant-tabs-tab-active .ant-tabs-tab-btn {\n          color: #fff !important;\n        }\n        .agent-config-tabs .ant-tabs-content {\n          height: 100% !important;\n        }\n\n        /* Ensure the form and its nested Ant components use a flex layout so textarea can grow */\n        .agent-config-form,\n        .agent-config-form .ant-form-item,\n        .agent-config-form .ant-form-item .ant-row,\n        .agent-config-form .ant-form-item .ant-row .ant-col,\n        .agent-config-form\n          .ant-form-item\n          .ant-row\n          .ant-col\n          .ant-form-item-control-input,\n        .agent-config-form\n          .ant-form-item\n          .ant-row\n          .ant-col\n          .ant-form-item-control-input\n          .ant-form-item-control-input-content,\n        .agent-config-form .ant-form-item-control-input-content {\n          height: 100% !important;\n        }\n      `}</style>\n\n      {/* Expand Edit Modal */}\n      <ExpandEditModal\n        open={expandModalOpen}\n        title={getExpandModalTitle()}\n        content={getExpandModalContent()}\n        onClose={handleCloseExpandModal}\n        onSave={handleSaveExpandModal}\n      />\n    </Flex>\n  );\n}\n"
  },
  {
    "path": "frontend/app/[locale]/agents/components/agentInfo/DebugConfig.tsx",
    "content": "\"use client\";\n\nimport { useState, useRef, useEffect } from \"react\";\nimport { useTranslation } from \"react-i18next\";\n\nimport { Input } from \"antd\";\n\nimport { conversationService } from \"@/services/conversationService\";\nimport { ChatMessageType, TaskMessageType } from \"@/types/chat\";\nimport { handleStreamResponse } from \"@/app/chat/streaming/chatStreamHandler\";\nimport { ChatStreamFinalMessage } from \"@/app/chat/streaming/chatStreamFinalMessage\";\nimport { TaskWindow } from \"@/app/chat/streaming/taskWindow\";\nimport { transformMessagesToTaskMessages } from \"@/app/chat/streaming/messageTransformer\";\nimport { MESSAGE_ROLES } from \"@/const/chatConfig\";\nimport log from \"@/lib/logger\";\nimport {\n  getCachedDebugError,\n  cacheDebugError,\n  clearCachedDebugError,\n} from \"@/lib/agentDebugErrorCache\";\n\n// Agent debugging component Props interface\ninterface AgentDebuggingProps {\n  onAskQuestion: (question: string) => void;\n  onStop: () => void;\n  onClear: () => void;\n  isStreaming: boolean;\n  messages: ChatMessageType[];\n}\n\n// Main component Props interface\ninterface DebugConfigProps {\n  agentId?: number | null; // Make agentId an optional prop\n}\n\n/**\n * Agent debugging component\n */\nfunction AgentDebugging({\n  onAskQuestion,\n  onStop,\n  onClear,\n  isStreaming,\n  messages,\n}: AgentDebuggingProps) {\n  const { t } = useTranslation();\n  const [inputQuestion, setInputQuestion] = useState(\"\");\n\n  const handleSend = async () => {\n    if (!inputQuestion.trim()) return;\n\n    try {\n      onAskQuestion(inputQuestion);\n      setInputQuestion(\"\");\n    } catch (error) {\n      log.error(t(\"agent.error.loadTools\"), error);\n    }\n  };\n\n  // Process the step content of the message using unified transformer\n  const processMessageSteps = (message: ChatMessageType): TaskMessageType[] => {\n    if (!message.steps || message.steps.length === 0) return [];\n\n    // Use unified message transformer with includeCode: true for debug mode\n    const { taskMessages } = transformMessagesToTaskMessages(\n      [message],\n      { includeCode: true }\n    );\n\n    return taskMessages;\n  };\n\n  return (\n    <div className=\"flex flex-col h-full p-4\">\n      <div className=\"flex flex-col gap-4 flex-grow overflow-hidden\">\n        {/* Message display area */}\n        <div className=\"flex flex-col gap-3 h-full overflow-y-auto custom-scrollbar\">\n          {messages.map((message, index) => {\n            // Process the task content of the current message\n            const currentTaskMessages =\n              message.role === MESSAGE_ROLES.ASSISTANT\n                ? processMessageSteps(message)\n                : [];\n\n            return (\n              <div key={message.id || index} className=\"flex flex-col gap-2\">\n                {/* User message */}\n                {message.role === MESSAGE_ROLES.USER && (\n                  <ChatStreamFinalMessage\n                    message={message}\n                    onSelectMessage={() => {}}\n                    isSelected={false}\n                    searchResultsCount={message.searchResults?.length || 0}\n                    imagesCount={message.images?.length || 0}\n                    onImageClick={() => {}}\n                    onOpinionChange={() => {}}\n                    hideButtons={true}\n                  />\n                )}\n\n                {/* Assistant message task window */}\n                {message.role === MESSAGE_ROLES.ASSISTANT &&\n                  currentTaskMessages.length > 0 && (\n                    <TaskWindow\n                      key={message.id || `task-${index}`}\n                      messages={currentTaskMessages}\n                      isStreaming={isStreaming && index === messages.length - 1}\n                      defaultExpanded={true}\n                    />\n                  )}\n\n                {/* Assistant message final answer */}\n                {message.role === MESSAGE_ROLES.ASSISTANT && (\n                  <ChatStreamFinalMessage\n                    message={message}\n                    onSelectMessage={() => {}}\n                    isSelected={false}\n                    searchResultsCount={message.searchResults?.length || 0}\n                    imagesCount={message.images?.length || 0}\n                    onImageClick={() => {}}\n                    onOpinionChange={() => {}}\n                    hideButtons={true}\n                  />\n                )}\n              </div>\n            );\n          })}\n        </div>\n      </div>\n\n      <div className=\"flex gap-2 mt-4\">\n        <Input\n          value={inputQuestion}\n          onChange={(e) => setInputQuestion(e.target.value)}\n          placeholder={t(\"agent.debug.placeholder\")}\n          onPressEnter={handleSend}\n          disabled={isStreaming}\n        />\n        {/* Clear history button */}\n        <button\n          onClick={onClear}\n          disabled={isStreaming}\n          className=\"min-w-[56px] px-4 py-1.5 rounded-md flex items-center justify-center text-sm bg-gray-200 hover:bg-gray-300 text-gray-800 whitespace-nowrap disabled:opacity-50 disabled:cursor-not-allowed\"\n          style={{ border: \"none\" }}\n        >\n          {t(\"agent.debug.clear\")}\n        </button>\n        {isStreaming ? (\n          <button\n            onClick={onStop}\n            className=\"min-w-[56px] px-4 py-1.5 rounded-md flex items-center justify-center text-sm bg-red-500 hover:bg-red-600 text-white whitespace-nowrap\"\n            style={{ border: \"none\" }}\n          >\n            {t(\"agent.debug.stop\")}\n          </button>\n        ) : (\n          <button\n            onClick={handleSend}\n            className=\"min-w-[56px] px-4 py-1.5 rounded-md flex items-center justify-center text-sm bg-blue-500 hover:bg-blue-600 text-white whitespace-nowrap\"\n            style={{ border: \"none\" }}\n          >\n            {t(\"agent.debug.send\")}\n          </button>\n        )}\n      </div>\n    </div>\n  );\n}\n\n/**\n * Debug configuration main component\n */\nexport default function DebugConfig({ agentId }: DebugConfigProps) {\n  const { t } = useTranslation();\n  const [messages, setMessages] = useState<ChatMessageType[]>([]);\n  const [isStreaming, setIsStreaming] = useState(false);\n  const timeoutRef = useRef<NodeJS.Timeout | null>(null);\n  const abortControllerRef = useRef<AbortController | null>(null);\n  // Maintain an independent step ID counter per Agent\n  const stepIdCounter = useRef<{ current: number }>({ current: 0 });\n\n  // Reset debug state when agentId changes\n  useEffect(() => {\n    // Clear debug history\n    setMessages([]);\n    // Reset step ID counter\n    stepIdCounter.current.current = 0;\n    // Stop both frontend and backend when switching agent (debug mode)\n    const hasActiveStream = isStreaming || abortControllerRef.current !== null;\n    if (hasActiveStream) {\n      handleStop();\n    }\n\n    // Check for cached error from previous debug session\n    if (agentId !== undefined && agentId !== null && !isNaN(Number(agentId))) {\n      const cachedError = getCachedDebugError(Number(agentId));\n      if (cachedError) {\n        // Restore the cached error as a message with a step containing the error\n        const errorMessage: ChatMessageType = {\n          id: Date.now().toString(),\n          role: MESSAGE_ROLES.ASSISTANT,\n          content: cachedError,\n          timestamp: new Date(),\n          isComplete: true,\n          error: cachedError,\n          // Add a step with the error info so TaskWindow can display it\n          steps: [\n            {\n              id: \"error-step\",\n              title: \"Error\",\n              content: cachedError,\n              expanded: true,\n              metrics: \"\",\n              thinking: { content: \"\", expanded: true },\n              code: { content: \"\", expanded: true },\n              output: { content: cachedError, expanded: true },\n              contents: [\n                {\n                  id: \"error-content\",\n                  type: \"error\" as const,\n                  content: cachedError,\n                  expanded: true,\n                  timestamp: Date.now(),\n                  subType: \"error\",\n                },\n              ],\n            },\n          ],\n        };\n        setMessages([errorMessage]);\n      }\n    }\n  }, [agentId]);\n\n  // Reset timeout timer\n  const resetTimeout = () => {\n    if (timeoutRef.current) {\n      clearTimeout(timeoutRef.current);\n    }\n    timeoutRef.current = setTimeout(() => {\n      setIsStreaming(false);\n    }, 30000); // 30 seconds timeout\n  };\n\n  // Handle stop function\n  const handleStop = async () => {\n    // Stop agent_run immediately\n    if (abortControllerRef.current) {\n      try {\n        abortControllerRef.current.abort(t(\"agent.debug.userStop\"));\n      } catch (error) {\n        log.error(t(\"agent.debug.cancelError\"), error);\n      }\n      abortControllerRef.current = null;\n    }\n\n    // Clear timeout timer\n    if (timeoutRef.current) {\n      clearTimeout(timeoutRef.current);\n      timeoutRef.current = null;\n    }\n\n    // Immediately update frontend state\n    setIsStreaming(false);\n\n    // Try to stop backend agent run for debug mode\n    try {\n      await conversationService.stop(-1); // Use -1 for debug mode\n    } catch (error) {\n      log.error(t(\"agent.debug.stopError\"), error);\n      // This is expected if no agent is running for debug mode\n    }\n\n    // Manually update messages, clear thinking state\n    setMessages((prev) => {\n      const newMessages = [...prev];\n      const lastMsg = newMessages[newMessages.length - 1];\n      if (lastMsg && lastMsg.role === MESSAGE_ROLES.ASSISTANT) {\n        lastMsg.isComplete = true;\n        lastMsg.thinking = undefined; // Explicitly clear thinking state\n        lastMsg.content = t(\"agent.debug.stopped\");\n      }\n      return newMessages;\n    });\n  };\n\n  // Clear local history and reset the step counter\n  const handleClearHistory = async () => {\n    setMessages([]);\n    stepIdCounter.current.current = 0;\n    // Clear cached error for this agent\n    if (agentId !== undefined && agentId !== null && !isNaN(Number(agentId))) {\n      clearCachedDebugError(Number(agentId));\n    }\n  };\n\n  // Process test question\n  const handleTestQuestion = async (question: string) => {\n    setIsStreaming(true);\n\n    // Create new AbortController for this request\n    abortControllerRef.current = new AbortController();\n\n    // Add user message\n    const userMessage: ChatMessageType = {\n      id: Date.now().toString(),\n      role: MESSAGE_ROLES.USER,\n      content: question,\n      timestamp: new Date(),\n    };\n\n    // Add assistant message (initial state)\n    const assistantMessage: ChatMessageType = {\n      id: (Date.now() + 1).toString(),\n      role: MESSAGE_ROLES.ASSISTANT,\n      content: \"\",\n      timestamp: new Date(),\n      isComplete: false,\n    };\n\n    setMessages((prev) => [...prev, userMessage, assistantMessage]);\n\n    // Ensure agent_id is a number\n    let agentIdValue: number | undefined = undefined;\n    if (agentId !== undefined && agentId !== null) {\n      agentIdValue = Number(agentId);\n      if (isNaN(agentIdValue)) {\n        agentIdValue = undefined;\n      }\n    }\n\n    try {\n      // Call agent_run with AbortSignal\n      const reader = await conversationService.runAgent(\n        {\n          query: question,\n          conversation_id: -1, // Debug mode uses -1 as conversation ID\n          is_set: true,\n          history: messages\n            .filter(msg => msg.isComplete !== false) // Only pass completed messages\n            .map(msg => ({ \n              role: msg.role, \n              content: msg.content \n            })),\n          is_debug: true, // Add debug mode flag\n          agent_id: agentIdValue, // Use the properly parsed agent_id\n        },\n        abortControllerRef.current.signal\n      ); // Pass AbortSignal\n\n      if (!reader) throw new Error(t(\"agent.debug.nullResponse\"));\n\n      // Process stream response\n      await handleStreamResponse(\n        reader,\n        setMessages,\n        resetTimeout,\n        stepIdCounter.current,\n        () => {}, // setIsSwitchedConversation - Debug mode does not need\n        false, // isNewConversation - Debug mode does not need\n        () => {}, // setConversationTitle - Debug mode does not need\n        async () => {}, // fetchConversationList - Debug mode does not need\n        -1, // currentConversationId - Debug mode uses -1\n        conversationService,\n        true, // isDebug: true for debug mode\n        t\n      );\n    } catch (error) {\n      // If user actively canceled, don't show error message\n      const err = error as Error;\n      if (err.name === \"AbortError\") {\n        setMessages((prev) => {\n          const newMessages = [...prev];\n          const lastMsg = newMessages[newMessages.length - 1];\n          if (lastMsg && lastMsg.role === MESSAGE_ROLES.ASSISTANT) {\n            lastMsg.content = t(\"agent.debug.stopped\");\n            lastMsg.isComplete = true;\n            lastMsg.thinking = undefined; // Explicitly clear thinking state\n          }\n          return newMessages;\n        });\n      } else {\n        log.error(t(\"agent.debug.streamError\"), error);\n        const errorMessage =\n          error instanceof Error\n            ? error.message\n            : t(\"agent.debug.processError\");\n\n        // Cache the error for future debug sessions\n        if (agentIdValue !== undefined) {\n          cacheDebugError(agentIdValue, errorMessage);\n        }\n\n        setMessages((prev) => {\n          const newMessages = [...prev];\n          const lastMsg = newMessages[newMessages.length - 1];\n          if (lastMsg && lastMsg.role === MESSAGE_ROLES.ASSISTANT) {\n            lastMsg.content = errorMessage;\n            lastMsg.isComplete = true;\n            lastMsg.error = errorMessage;\n          }\n          return newMessages;\n        });\n      }\n    } finally {\n      setIsStreaming(false);\n      if (timeoutRef.current) {\n        clearTimeout(timeoutRef.current);\n        timeoutRef.current = null;\n      }\n      if (abortControllerRef.current) {\n        abortControllerRef.current = null;\n      }\n    }\n  };\n\n  return (\n    <div className=\"w-full h-full bg-white\">\n      <AgentDebugging\n        key={agentId} // Re-render when agentId changes to ensure state resets\n        onAskQuestion={handleTestQuestion}\n        onStop={handleStop}\n        onClear={handleClearHistory}\n        isStreaming={isStreaming}\n        messages={messages}\n      />\n    </div>\n  );\n}\n"
  },
  {
    "path": "frontend/app/[locale]/agents/components/agentInfo/ExpandEditModal.tsx",
    "content": "import { useState, useEffect } from \"react\";\nimport { useTranslation } from \"react-i18next\";\nimport { Modal, Input, Badge, Button } from \"antd\";\n\nexport interface ExpandEditModalProps {\n  open: boolean;\n  title: string;\n  content: string;\n  onClose: () => void;\n  onSave: (content: string) => void;\n  readOnly?: boolean;\n}\n\nexport default function ExpandEditModal({\n  open,\n  title,\n  content,\n  onClose,\n  onSave,\n  readOnly = false,\n}:ExpandEditModalProps) {\n  const { t } = useTranslation(\"common\");\n  const [editContent, setEditContent] = useState(content);\n\n  // Update editContent when content prop changes\n  useEffect(() => {\n    setEditContent(content);\n  }, [content]);\n\n  const handleSave = () => {\n    if (!readOnly) {\n      onSave(editContent);\n    }\n    onClose();\n  };\n\n  const handleClose = () => {\n    // Close without saving changes\n    onClose();\n  };\n  return (\n    <Modal\n      title={\n        <div className=\"flex justify-between items-center\">\n          <div className=\"flex items-center\">\n            <Badge className=\"mr-3\" />\n            <span className=\"text-base font-medium\">{title}</span>\n          </div>\n        </div>\n      }\n      open={open}\n      onCancel={handleClose}\n      footer={\n        readOnly ? (\n          <Button onClick={handleClose}>\n            {t(\"common.cancel\")}\n          </Button>\n        ) : (\n          <button\n            onClick={handleSave}\n            className=\"px-4 py-1.5 rounded-md text-sm bg-blue-500 text-white hover:bg-blue-600\"\n            style={{ border: \"none\" }}\n          >\n            {t(\"common.confirm\")}\n          </button>\n        )\n      }\n      width={1000}\n      styles={{\n        body: { padding: \"20px\" }\n      }}\n    >\n      <div\n      >\n        <div className=\"flex-1 min-h-0\">\n          <Input.TextArea\n            value={editContent}\n            onChange={(e) => {\n              if (!readOnly) {\n                setEditContent(e.target.value);\n              }\n            }}\n            style={{\n              width: \"100%\",\n              minHeight: \"400px\",\n              resize: \"vertical\"\n            }}\n            bordered={true}\n            readOnly={readOnly}\n          />\n        </div>\n      </div>\n    </Modal>\n  );\n}"
  },
  {
    "path": "frontend/app/[locale]/agents/components/agentManage/AgentCallRelationshipModal.tsx",
    "content": "\"use client\";\n\nimport React, { useState, useEffect, useCallback, useRef } from \"react\";\nimport { Modal, Spin, message, Typography } from \"antd\";\nimport { Bot, Wrench } from \"lucide-react\";\nimport { useTranslation } from \"react-i18next\";\nimport Tree from \"react-d3-tree\";\n\nimport log from \"@/lib/logger\";\nimport { fetchAgentCallRelationship } from \"@/services/agentConfigService\";\nimport {\n  AgentCallRelationship,\n  AgentCallRelationshipSubAgent,\n  AgentCallRelationshipModalProps,\n  AgentCallRelationshipTreeNodeDatum\n} from \"@/types/agentConfig\";\n\nimport {AGENT_CALL_RELATIONSHIP_THEME_CONFIG, AGENT_CALL_RELATIONSHIP_NODE_TYPES, AGENT_CALL_RELATIONSHIP_ORIENTATION, AgentCallRelationshipOrientation } from \"@/const/agentConfig\";\n\n\nconst { Text } = Typography;\n\n/** Consistent with custom node visual dimensions (convenient for line endings at edges) */\nconst NODE_W = 140;\nconst NODE_H = 60;\n\n/* ================== New/Adjusted: Unified dimensions and compact layout (minimal changes) ================== */\nconst AGENT_W = 160; // Agent unified width\nconst AGENT_H = 56; // Agent unified height\nconst TOOL_SIZE = 100; // Tool gear unified diameter\nconst TOOL_TEETH = 10; // Number of teeth (more rounded)\nconst TOOL_TEETH_DEPTH_RATIO = 0.085; // Teeth depth ratio\n\nconst MAX_TOOL_NAME_CHARS = 24; // Maximum display characters for tool names\n\nconst TREE_DEPTH_FACTOR = 120; // More compact layer spacing\nconst TREE_SEP_SIB = 1.5; // Minimum spacing between sibling nodes\nconst TREE_SEP_NON = 1.8; // Minimum spacing between non-sibling nodes\n\n/* Simple and stable code point truncation (compatible with basic emoji scenarios) */\nfunction truncateByCodePoints(s: string, max: number) {\n  const arr = Array.from(s);\n  return arr.length > max ? arr.slice(0, max).join(\"\") + \"…\" : s;\n}\n\n// Get node color\nconst getNodeColor = (type: string, depth: number = 0) => {\n  const { colors } = AGENT_CALL_RELATIONSHIP_THEME_CONFIG;\n\n  switch (type) {\n    case AGENT_CALL_RELATIONSHIP_NODE_TYPES.MAIN:\n      return colors.node.main;\n    case AGENT_CALL_RELATIONSHIP_NODE_TYPES.SUB:\n      return (\n        colors.node.levels[depth as keyof typeof colors.node.levels] ||\n        colors.node.levels[1]\n      );\n    case AGENT_CALL_RELATIONSHIP_NODE_TYPES.TOOL:\n      return (\n        colors.node.tools[depth as keyof typeof colors.node.tools] ||\n        colors.node.tools[1]\n      );\n    default:\n      return colors.node.main;\n  }\n};\n\n// Custom node - center aligned, unified font style\nconst CustomNode = ({ nodeDatum }: any) => {\n  const isAgent =\n    nodeDatum.type === AGENT_CALL_RELATIONSHIP_NODE_TYPES.MAIN ||\n    nodeDatum.type === AGENT_CALL_RELATIONSHIP_NODE_TYPES.SUB;\n  const color = getNodeColor(nodeDatum.type, nodeDatum.depth);\n  const icon = isAgent ? <Bot size={16} /> : <Wrench size={16} />;\n\n  // Truncate tool names by maximum character count (avoid too long)\n  const rawName: string = nodeDatum.name || \"\";\n  const displayName: string = !isAgent\n    ? truncateByCodePoints(rawName, MAX_TOOL_NAME_CHARS)\n    : rawName;\n\n  // Unified font\n  const fontSize = isAgent ? \"14px\" : \"12px\";\n  const fontWeight = isAgent ? \"600\" : \"500\";\n\n  // —— Unified dimensions: Agent rectangles, Tool gears fixed size ——\n  const nodeWidth = isAgent ? AGENT_W : TOOL_SIZE;\n  const nodeHeight = isAgent ? AGENT_H : TOOL_SIZE;\n\n  // Select different shapes based on node type with enhanced styling\n  const renderNodeShape = () => {\n    if (isAgent) {\n      // Agent nodes use rounded rectangle with enhanced styling\n      return (\n        <rect\n          width={nodeWidth}\n          height={nodeHeight}\n          rx={14}\n          ry={14}\n          fill={color}\n          stroke={`${color}80`}\n          strokeWidth={1.5}\n          style={{\n            transition: \"all 0.3s ease\",\n            filter: \"drop-shadow(0 3px 6px rgba(0,0,0,0.12))\",\n          }}\n        />\n      );\n    } else {\n      // Tool nodes use gear shape (outer contour only), unified size\n      const cx = nodeWidth / 2;\n      const cy = nodeHeight / 2;\n      const outerRadius = nodeWidth / 2 - 2;\n      const teethDepth = Math.max(outerRadius * TOOL_TEETH_DEPTH_RATIO, 3.5);\n\n      const d: string[] = [];\n      for (let i = 0; i < TOOL_TEETH * 2; i++) {\n        const angle = (i * Math.PI) / TOOL_TEETH; // Each half tooth\n        const r = i % 2 === 0 ? outerRadius : outerRadius - teethDepth;\n        const x = cx + r * Math.cos(angle);\n        const y = cy + r * Math.sin(angle);\n        d.push(`${i === 0 ? \"M\" : \"L\"} ${x} ${y}`);\n      }\n      d.push(\"Z\");\n\n      return (\n        <path\n          d={d.join(\" \")}\n          fill={color}\n          stroke={`${color}80`}\n          strokeWidth={1.5}\n          style={{\n            transition: \"all 0.3s ease\",\n            filter: \"drop-shadow(0 2px 4px rgba(0,0,0,0.10))\",\n          }}\n        />\n      );\n    }\n  };\n\n  return (\n    <g transform={`translate(-${nodeWidth / 2}, -${nodeHeight / 2})`}>\n      {renderNodeShape()}\n\n      <foreignObject\n        x={0}\n        y={0}\n        width={nodeWidth}\n        height={nodeHeight}\n        style={{\n          overflow: \"hidden\",\n          borderRadius: isAgent ? 14 : nodeWidth / 2,\n        }}\n      >\n        <div\n          style={{\n            width: \"100%\",\n            height: \"100%\",\n            display: \"flex\",\n            alignItems: \"center\",\n            justifyContent: \"center\",\n            gap: \"6px\",\n            padding: isAgent ? \"0 16px\" : \"0 12px\",\n            fontSize,\n            color: isAgent ? \"#ffffff\" : \"#1e293b\",\n            fontFamily:\n              '-apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, sans-serif',\n            fontWeight,\n            textAlign: \"center\",\n            lineHeight: 1,\n            userSelect: \"none\",\n            letterSpacing: \"0.02em\",\n            whiteSpace: \"nowrap\",\n          }}\n        >\n          <span\n            style={{\n              display: \"inline-flex\",\n              width: isAgent ? \"18px\" : \"16px\",\n              height: isAgent ? \"18px\" : \"16px\",\n              alignItems: \"center\",\n              justifyContent: \"center\",\n              transform: \"translateY(-0.5px)\",\n              flex: \"0 0 auto\",\n            }}\n          >\n            {icon}\n          </span>\n          <span\n            style={{\n              display: \"inline-block\",\n              maxWidth: \"100%\",\n              overflow: \"hidden\",\n              textOverflow: \"ellipsis\",\n            }}\n            title={rawName}\n          >\n            {displayName}\n          </span>\n        </div>\n      </foreignObject>\n    </g>\n  );\n};\n\n/** Make lines end at node edges: from parent rectangle bottom edge to child rectangle top edge (vertical layout) */\nconst customPathFunc = (\n  linkData: any,\n  orientation: AgentCallRelationshipOrientation\n) => {\n  const { source, target } = linkData;\n\n  if (orientation === AGENT_CALL_RELATIONSHIP_ORIENTATION.HORIZONTAL) {\n    const srcX = source.x + NODE_W / 2;\n    const srcY = source.y;\n    const tgtX = target.x - NODE_W / 2;\n    const tgtY = target.y;\n    const midX = (srcX + tgtX) / 2;\n    return `M ${srcX} ${srcY} L ${midX} ${srcY} L ${midX} ${tgtY} L ${tgtX} ${tgtY}`;\n  }\n\n  // Vertical layout: from parent node bottom edge -> middle break point -> child node top edge\n  const srcX = source.x;\n  const srcY = source.y + NODE_H / 2;\n  const tgtX = target.x;\n  const tgtY = target.y - NODE_H / 2;\n  const midY = (srcY + tgtY) / 2;\n  return `M ${srcX} ${srcY} L ${srcX} ${midY} L ${tgtX} ${midY} L ${tgtX} ${tgtY}`;\n};\n\ndeclare module \"react-d3-tree\";\n\nexport default function AgentCallRelationshipModal({\n  visible,\n  onClose,\n  agentId,\n  agentName,\n}: AgentCallRelationshipModalProps) {\n  const { t } = useTranslation(\"common\");\n  const [loading, setLoading] = useState(false);\n  const [relationshipData, setRelationshipData] =\n    useState<AgentCallRelationship | null>(null);\n\n  const treeWrapRef = useRef<HTMLDivElement>(null);\n  const [translate, setTranslate] = useState<{ x: number; y: number }>({\n    x: 800,\n    y: 120,\n  });\n\n  useEffect(() => {\n    if (visible && agentId) {\n      loadCallRelationship();\n    }\n  }, [visible, agentId]);\n\n  useEffect(() => {\n    if (treeWrapRef.current && visible) {\n      const { clientWidth } = treeWrapRef.current;\n      const x = Math.round(clientWidth / 2);\n      const y = 100;\n      setTranslate({ x, y });\n    }\n  }, [visible]);\n\n  const loadCallRelationship = async () => {\n    setLoading(true);\n    try {\n      const result = await fetchAgentCallRelationship(agentId);\n      if (result.success) {\n        setRelationshipData(result.data);\n      } else {\n        message.error(result.message || \"Failed to fetch call relationship\");\n      }\n    } catch (error) {\n      log.error(\"Failed to fetch Agent call relationship:\", error);\n      message.error(\n        \"Failed to fetch Agent call relationship, please try again later\"\n      );\n    } finally {\n      setLoading(false);\n    }\n  };\n\n  // Generate tree data (using recursive method)\n  const generateTreeData = useCallback(\n    (data: AgentCallRelationship): AgentCallRelationshipTreeNodeDatum => {\n      const centerX = 600;\n      const startY = 50;\n      const levelHeight = 160;\n      const agentSpacing = 240;\n      const toolSpacing = 160;\n\n      // Recursively generate child nodes\n      const generateSubNodes = (\n        subAgents: AgentCallRelationshipSubAgent[],\n        depth: number,\n        parentX: number,\n        parentY: number\n      ): AgentCallRelationshipTreeNodeDatum[] => {\n        return subAgents.map((subAgent, index) => {\n          const x =\n            parentX + (index - (subAgents.length - 1) / 2) * agentSpacing;\n          const y = parentY + levelHeight;\n\n          const subAgentNode: AgentCallRelationshipTreeNodeDatum = {\n            name: subAgent.name,\n            type: AGENT_CALL_RELATIONSHIP_NODE_TYPES.SUB,\n            depth: subAgent.depth || depth,\n            color: getNodeColor(AGENT_CALL_RELATIONSHIP_NODE_TYPES.SUB, subAgent.depth || depth),\n            children: [],\n          };\n\n          // Add tool nodes\n          if (subAgent.tools && subAgent.tools.length > 0) {\n            const toolsPerRow = Math.min(2, subAgent.tools.length);\n            const toolStartX = x - ((toolsPerRow - 1) * toolSpacing) / 2;\n\n            subAgent.tools.forEach((tool, toolIndex) => {\n              const row = Math.floor(toolIndex / toolsPerRow);\n              const col = toolIndex % toolsPerRow;\n              const toolX = toolStartX + col * toolSpacing;\n              const toolY = y + levelHeight + row * 56;\n\n              subAgentNode.children!.push({\n                name: tool.name,\n                type: AGENT_CALL_RELATIONSHIP_NODE_TYPES.TOOL,\n                depth: (subAgent.depth || depth) + 1,\n                color: getNodeColor(AGENT_CALL_RELATIONSHIP_NODE_TYPES.TOOL, (subAgent.depth || depth) + 1),\n                attributes: { toolType: tool.type },\n                children: [],\n              });\n            });\n          }\n\n          // Recursively process deeper sub-agents\n          if (subAgent.sub_agents && subAgent.sub_agents.length > 0) {\n            const deepSubNodes = generateSubNodes(\n              subAgent.sub_agents,\n              depth + 1,\n              x,\n              y\n            );\n            subAgentNode.children!.push(...deepSubNodes);\n          }\n\n          return subAgentNode;\n        });\n      };\n\n      const treeData: AgentCallRelationshipTreeNodeDatum = {\n        name: data.name,\n        type: AGENT_CALL_RELATIONSHIP_NODE_TYPES.MAIN,\n        depth: 0,\n        color: getNodeColor(AGENT_CALL_RELATIONSHIP_NODE_TYPES.MAIN, 0),\n        children: [],\n      };\n\n      // Add main agent tools\n      if (data.tools && data.tools.length > 0) {\n        const toolsPerRow = Math.min(3, data.tools.length);\n        const startX2 = centerX - ((toolsPerRow - 1) * toolSpacing) / 2;\n\n        data.tools.forEach((tool, index) => {\n          const row = Math.floor(index / toolsPerRow);\n          const col = index % toolsPerRow;\n          const x = startX2 + col * toolSpacing;\n          const y = startY + levelHeight + row * 56;\n\n          treeData.children!.push({\n            name: tool.name,\n            type: AGENT_CALL_RELATIONSHIP_NODE_TYPES.TOOL,\n            depth: 1,\n            color: getNodeColor(AGENT_CALL_RELATIONSHIP_NODE_TYPES.TOOL, 1),\n            attributes: { toolType: tool.type },\n            children: [],\n          });\n        });\n      }\n\n      // Recursively add sub-agents\n      if (data.sub_agents && data.sub_agents.length > 0) {\n        const subNodes = generateSubNodes(data.sub_agents, 1, centerX, startY);\n        treeData.children!.push(...subNodes);\n      }\n\n      return treeData;\n    },\n    []\n  );\n\n  return (\n    <>\n      <Modal\n        title={\n          <div style={{ display: \"flex\", alignItems: \"center\", gap: \"8px\" }}>\n            <span>{t(\"agentCallRelationship.title\")}</span>\n            <Text\n              type=\"secondary\"\n              style={{ fontSize: \"14px\", fontWeight: \"normal\" }}\n            >\n              {agentName}\n            </Text>\n          </div>\n        }\n        open={visible}\n        onCancel={onClose}\n        footer={null}\n        width={1800}\n        destroyOnHidden\n        centered\n        style={{ top: 20 }}\n      >\n        {loading ? (\n          <div style={{ textAlign: \"center\", padding: \"40px\" }}>\n            <Spin size=\"large\" />\n            <div style={{ marginTop: \"16px\" }}>\n              <Text type=\"secondary\">{t(\"agentCallRelationship.loading\")}</Text>\n            </div>\n          </div>\n        ) : relationshipData ? (\n          <div>\n            <div style={{ marginBottom: \"16px\" }}>\n              <Text type=\"secondary\">\n                {t(\"agentCallRelationship.description\", {\n                  name: relationshipData.name,\n                })}\n              </Text>\n            </div>\n            <div\n              ref={treeWrapRef}\n              style={{\n                height: \"820px\",\n                width: \"100%\",\n                background:\n                  \"linear-gradient(135deg, #f8fafc 0%, #e2e8f0 50%, #cbd5e1 100%)\",\n                borderRadius: 20,\n                overflow: \"hidden\",\n                padding: 0,\n                boxShadow:\n                  \"0 20px 60px rgba(0,0,0,0.15), 0 8px 25px rgba(0,0,0,0.1)\",\n                position: \"relative\",\n              }}\n            >\n              <Tree\n                data={generateTreeData(relationshipData)}\n                orientation={AGENT_CALL_RELATIONSHIP_ORIENTATION.VERTICAL}\n                /** Custom path: lines end at node edges, no longer insert into interior */\n                pathFunc={(linkData: any) =>\n                  customPathFunc(linkData, AGENT_CALL_RELATIONSHIP_ORIENTATION.VERTICAL)\n                }\n                translate={translate}\n                renderCustomNodeElement={CustomNode}\n                depthFactor={TREE_DEPTH_FACTOR}\n                separation={{\n                  siblings: TREE_SEP_SIB,\n                  nonSiblings: TREE_SEP_NON,\n                }}\n                nodeSize={{ x: NODE_W, y: NODE_H }}\n                pathClassFunc={() => \"connection\"}\n                zoomable={true}\n                scaleExtent={{ min: 0.8, max: 1.4 }}\n                collapsible={false}\n                initialDepth={undefined}\n                enableLegacyTransitions={true}\n                transitionDuration={250}\n              />\n            </div>\n          </div>\n        ) : (\n          <div style={{ textAlign: \"center\", padding: \"40px\" }}>\n            <Text type=\"secondary\">{t(\"agentCallRelationship.noData\")}</Text>\n          </div>\n        )}\n      </Modal>\n\n      <style jsx>{`\n        .connection {\n          stroke: #64748b;\n          stroke-width: 2;\n          stroke-opacity: 0.85;\n          fill: none;\n          stroke-linecap: round;\n          stroke-linejoin: round;\n          transition: all 0.25s ease;\n        }\n\n        .connection:hover {\n          stroke: #475569;\n          stroke-opacity: 1;\n          stroke-width: 2.4;\n        }\n\n        /* Enhanced node hover effects */\n        :global(.rd3t-node) {\n          transition: filter 0.2s ease;\n        }\n\n        :global(.rd3t-node:hover) {\n          filter: brightness(1.04) drop-shadow(0 4px 10px rgba(0, 0, 0, 0.16));\n        }\n\n        /* Double insurance: force hide library's built-in labels */\n        :global(.rd3t-label),\n        :global(.rd3t-label__title),\n        :global(.rd3t-label__attributes) {\n          display: none !important;\n          opacity: 0 !important;\n          visibility: hidden !important;\n        }\n\n        /* Enhanced SVG rendering */\n        :global(svg) {\n          filter: drop-shadow(0 1px 3px rgba(0, 0, 0, 0.08));\n        }\n\n        :global(svg text) {\n          text-rendering: optimizeLegibility !important;\n        }\n      `}</style>\n    </>\n  );\n}\n"
  },
  {
    "path": "frontend/app/[locale]/agents/components/agentManage/AgentList.tsx",
    "content": "\"use client\";\n\nimport React from \"react\";\nimport { useState } from \"react\";\nimport { useTranslation } from \"react-i18next\";\nimport { Button, Col, Flex, Tooltip, Divider, Table, theme, App } from \"antd\";\nimport { ExclamationCircleOutlined } from \"@ant-design/icons\";\nimport { Copy, FileOutput, Network, Trash2 } from \"lucide-react\";\nimport { useMutation, useQueryClient } from \"@tanstack/react-query\";\n\nimport { Agent } from \"@/types/agentConfig\";\nimport { useConfirmModal } from \"@/hooks/useConfirmModal\";\nimport AgentCallRelationshipModal from \"@/components/ui/AgentCallRelationshipModal\";\nimport {\n  searchAgentInfo,\n  updateAgentInfo,\n  deleteAgent,\n  exportAgent,\n  updateToolConfig,\n} from \"@/services/agentConfigService\";\nimport { useAgentConfigStore } from \"@/stores/agentConfigStore\";\nimport { useSaveGuard } from \"@/hooks/agent/useSaveGuard\";\nimport { clearAgentNewMark } from \"@/services/agentConfigService\";\nimport log from \"@/lib/logger\";\n\ninterface AgentListProps {\n  agentList: Agent[];\n}\n\nexport default function AgentList({\n  agentList,\n}: AgentListProps) {\n  const { t } = useTranslation();\n  const { token } = theme.useToken();\n  const { message } = App.useApp();\n  const confirm = useConfirmModal();\n  const queryClient = useQueryClient();\n\n  // Call relationship modal state\n  const [callRelationshipModalVisible, setCallRelationshipModalVisible] =\n    useState(false);\n  const [selectedAgentForRelationship, setSelectedAgentForRelationship] =\n    useState<Agent | null>(null);\n\n  // Get state from store\n  const currentAgentId = useAgentConfigStore((state) => state.currentAgentId);\n  const setCurrentAgent = useAgentConfigStore((state) => state.setCurrentAgent);\n  const hasUnsavedChanges = useAgentConfigStore((state) => state.hasUnsavedChanges);\n\n  // Mutations\n  const updateAgentMutation = useMutation({\n    mutationFn: (payload: any) => updateAgentInfo(payload),\n  });\n\n  const deleteAgentMutation = useMutation({\n    mutationFn: (agentId: number) => deleteAgent(agentId),\n  });\n\n    // Unsaved changes guard\n  const checkUnsavedChanges = useSaveGuard();\n\n  // Handle view call relationship\n  const handleViewCallRelationship = (agent: Agent) => {\n    setSelectedAgentForRelationship(agent);\n    setCallRelationshipModalVisible(true);\n  };\n\n  const handleCloseCallRelationshipModal = () => {\n    setCallRelationshipModalVisible(false);\n    setSelectedAgentForRelationship(null);\n  };\n\n  // Handle select agent\n  const handleSelectAgent = async (agent: Agent) => {\n    // Clear NEW mark when agent is selected for editing (only if marked as new)\n    if (agent.is_new === true) {\n      try {\n        const res = await clearAgentNewMark(agent.id);\n        if (res?.success) {\n          log.warn(\"Failed to clear NEW mark on select:\", res);\n          queryClient.invalidateQueries({ queryKey: [\"agents\"] });\n        }\n      } catch (err) {\n        log.error(\"Failed to clear NEW mark on select:\", err);\n      }\n    }\n\n    // If already selected, deselect it\n    if (\n      currentAgentId !== null &&\n      String(currentAgentId) === String(agent.id)\n    ) {\n      const canDeselect = await checkUnsavedChanges.saveWithModal();\n      if (canDeselect) {\n        setCurrentAgent(null);\n      }\n      return;\n    }\n\n    // Only guard when leaving an existing agent or exiting create mode\n    if (currentAgentId !== null || useAgentConfigStore.getState().isCreatingMode) {\n      const canSwitch = await checkUnsavedChanges.saveWithModal();\n      if (!canSwitch) {\n        return;\n      }\n    }\n\n    // Load agent detail and set as current\n    try {\n      const result = await searchAgentInfo(Number(agent.id));\n      if (result.success && result.data) {\n        // Get permission from agent list (agentList prop contains permission from /agent/list)\n        const permissionFromList = agent.permission ?? undefined;\n        // Merge permission into agent detail before setting as current\n        setCurrentAgent({\n          ...result.data,\n          permission: permissionFromList,\n        });\n      } else {\n        message.error(result.message || t(\"agentConfig.agents.detailsLoadFailed\"));\n      }\n    } catch (error) {\n      log.error(\"Failed to load agent detail:\", error);\n      message.error(t(\"agentConfig.agents.detailsLoadFailed\"));\n    }\n  };\n\n  // Handle export agent\n  const handleExportAgent = async (agent: Agent) => {\n    try {\n      const result = await exportAgent(Number(agent.id));\n      if (result.success && result.data) {\n        const blob = new Blob([JSON.stringify(result.data, null, 2)], {\n          type: \"application/json\",\n        });\n        const url = URL.createObjectURL(blob);\n        const link = document.createElement(\"a\");\n        link.href = url;\n        link.download = `${agent.name || \"agent\"}.json`;\n        document.body.appendChild(link);\n        link.click();\n        document.body.removeChild(link);\n        URL.revokeObjectURL(url);\n        message.success(t(\"businessLogic.config.message.agentExportSuccess\"));\n      } else {\n        message.error(\n          result.message || t(\"businessLogic.config.error.agentImportFailed\")\n        );\n      }\n    } catch (error) {\n      message.error(t(\"businessLogic.config.error.agentExportFailed\"));\n    }\n  };\n\n  // Handle copy agent\n  const handleCopyAgent = async (agent: Agent) => {\n    try {\n      const detailResult = await searchAgentInfo(Number(agent.id));\n      if (!detailResult.success || !detailResult.data) {\n        message.error(detailResult.message);\n        return;\n      }\n      const detail = detailResult.data;\n\n      const copyName = `${detail.name || \"agent\"}_copy`;\n      const copyDisplayName = `${\n        detail.display_name || t(\"agentConfig.agents.defaultDisplayName\")\n      }${t(\"agent.copySuffix\")}`;\n\n      const tools = Array.isArray(detail.tools) ? detail.tools : [];\n      const unavailableTools = tools.filter(\n        (tool: any) => tool && tool.is_available === false\n      );\n      const unavailableToolNames = unavailableTools\n        .map(\n          (tool: any) =>\n            tool?.display_name || tool?.name || tool?.tool_name || \"\"\n        )\n        .filter((name: string) => Boolean(name));\n\n      const enabledToolIds = tools\n        .filter((tool: any) => tool && tool.is_available !== false)\n        .map((tool: any) => Number(tool.id))\n        .filter((id: number) => Number.isFinite(id));\n\n      const subAgentIds = (\n        Array.isArray(detail.sub_agent_id_list) ? detail.sub_agent_id_list : []\n      )\n        .map((id: any) => Number(id))\n        .filter((id: number) => Number.isFinite(id));\n\n      const createResult = await updateAgentMutation.mutateAsync({\n        agent_id: undefined, // create\n        name: copyName,\n        display_name: copyDisplayName,\n        description: detail.description,\n        author: detail.author,\n        model_name: detail.model,\n        model_id: detail.model_id ?? undefined,\n        max_steps: detail.max_step,\n        provide_run_summary: detail.provide_run_summary,\n        enabled: detail.enabled,\n        business_description: detail.business_description,\n        duty_prompt: detail.duty_prompt,\n        constraint_prompt: detail.constraint_prompt,\n        few_shots_prompt: detail.few_shots_prompt,\n        business_logic_model_name: detail.business_logic_model_name ?? undefined,\n        business_logic_model_id: detail.business_logic_model_id ?? undefined,\n        enabled_tool_ids: enabledToolIds,\n        related_agent_ids: subAgentIds,\n      });\n\n      if (!createResult.success || !createResult.data?.agent_id) {\n        message.error(\n          createResult.message || t(\"agentConfig.agents.copyFailed\")\n        );\n        return;\n      }\n      const newAgentId = Number(createResult.data.agent_id);\n\n      // Copy tool configuration\n      for (const tool of tools) {\n        if (!tool || tool.is_available === false) continue;\n        const params =\n          tool.initParams?.reduce((acc: Record<string, any>, param: any) => {\n            acc[param.name] = param.value;\n            return acc;\n          }, {}) || {};\n        try {\n          await updateToolConfig(Number(tool.id), newAgentId, params, true);\n        } catch (error) {\n          log.error(\"Failed to copy tool configuration:\", error);\n          message.error(t(\"agentConfig.agents.copyFailed\"));\n          return;\n        }\n      }\n\n      // Refresh agent list\n      queryClient.invalidateQueries({ queryKey: [\"agents\"] });\n      message.success(t(\"agentConfig.agents.copySuccess\"));\n\n      if (unavailableTools.length > 0) {\n        const names =\n          unavailableToolNames.join(\", \") ||\n          unavailableTools\n            .map((tool: any) => Number(tool?.id))\n            .filter((id: number) => !Number.isNaN(id))\n            .join(\", \");\n        message.warning(\n          t(\"agentConfig.agents.copyUnavailableTools\", {\n            count: unavailableTools.length,\n            names,\n          })\n        );\n      }\n    } catch (error) {\n      log.error(\"Failed to copy agent:\", error);\n      message.error(t(\"agentConfig.agents.copyFailed\"));\n    }\n  };\n\n  // Handle copy with confirmation\n  const handleCopyAgentWithConfirm = (agent: Agent) => {\n    confirm.confirm({\n      title: t(\"agentConfig.agents.copyConfirmTitle\"),\n      content: t(\"agentConfig.agents.copyConfirmContent\", {\n        name: agent?.display_name || agent?.name || \"\",\n      }),\n      onOk: () => handleCopyAgent(agent),\n    });\n  };\n\n  // Handle delete agent\n  const handleDeleteAgent = async (agent: Agent) => {\n    deleteAgentMutation.mutate(Number(agent.id), {\n      onSuccess: () => {\n        message.success(\n          t(\"businessLogic.config.error.agentDeleteSuccess\", {\n            name: agent.display_name || agent.name || \"\",\n          })\n        );\n\n        // Clear current agent if this was the selected agent\n        if (\n          currentAgentId !== null &&\n          String(currentAgentId) === String(agent.id)\n        ) {\n          setCurrentAgent(null);\n        }\n\n        // Refresh agent list\n        queryClient.invalidateQueries({ queryKey: [\"agents\"] });\n      },\n      onError: () => {\n        message.error(t(\"businessLogic.config.error.agentDeleteFailed\"));\n      },\n    });\n  };\n\n  // Handle delete with confirmation\n  const handleDeleteAgentWithConfirm = (agent: Agent) => {\n    confirm.confirm({\n      title: t(\"businessLogic.config.modal.deleteTitle\"),\n      content: t(\"businessLogic.config.modal.deleteContent\", {\n        name: agent.display_name || agent.name || \"\",\n      }),\n      onOk: () => handleDeleteAgent(agent),\n    });\n  };\n\n  return (\n    <Col xs={24} className=\"h-full\">\n      <Flex vertical className=\"h-full overflow-hidden\">\n        <div className=\"text-sm font-medium text-gray-600 mb-1 px-1\">\n          {t(\"subAgentPool.section.agentList\")} ({agentList.length})\n        </div>\n        <Divider style={{ margin: \"6px 0 0 0\" }} />\n        <div className=\"flex-1 min-h-0 overflow-y-auto\">\n          <Table\n            dataSource={agentList}\n            size=\"middle\"\n            rowKey={(agent) => String(agent.id)}\n            pagination={false}\n            showHeader={false}\n            rowClassName={(agent: any) => {\n              const isSelected =\n                currentAgentId !== null &&\n                String(currentAgentId) === String(agent.id);\n              return `py-3 px-4 transition-colors border-gray-200 h-[80px] ${\n                agent.is_available === false\n                  ? \"opacity-60 cursor-not-allowed\"\n                  : \"hover:bg-gray-50 cursor-pointer\"\n              } ${\n                isSelected ? \"bg-blue-50 selected-row pl-3\"\n                  : \"\"\n              }`;\n            }}\n            onRow={(agent: any) => ({\n              onClick: (e: any) => {\n                e.preventDefault();\n                e.stopPropagation();\n                handleSelectAgent(agent);\n              },\n            })}\n            columns={[\n              {\n                key: \"info\",\n                render: (_: any, agent: Agent) => {\n                  const isAvailable = agent.is_available !== false;\n                  const displayName = agent.display_name || \"\";\n                  const name = agent.name || \"\";\n                  const isSelected =\n                    currentAgentId !== null &&\n                    String(currentAgentId) === String(agent.id);\n                  const isNew = agent.is_new || false;\n\n                  return (\n                    <Flex\n                      vertical\n                      justify=\"center\"\n                      align=\"flex-start\"\n                      className=\"px-2\"\n                    >\n                      <div\n                        className={`font-medium text-base truncate transition-colors duration-300 ${!isAvailable ? \"text-gray-500\" : \"\"}`}\n                      >\n                        <div\n                          className=\"flex items-center\"\n                          style={{\n                            maxWidth: \"100%\",\n                            paddingRight: 4,\n                            gap: 6,\n                          }}\n                        >\n                          {!isAvailable && (\n                            <Tooltip\n                              title={(() => {\n                                const reasons = agent.unavailable_reasons || [];\n                                if (reasons.includes('agent_not_found')) {\n                                  return t('subAgentPool.tooltip.unavailableAgent');\n                                } else if (reasons.includes('tool_unavailable')) {\n                                  return t('toolPool.tooltip.unavailableTool');\n                                } else if (reasons.includes('duplicate_name')) {\n                                  return t('agent.error.nameExists', { name });\n                                } else if (reasons.includes('duplicate_display_name')) {\n                                  return t('agent.error.displayNameExists', { displayName });\n                                } else if (reasons.includes('model_unavailable')) {\n                                  return t('agent.error.modelUnavailable');\n                                }\n                                return t('subAgentPool.tooltip.unavailableAgent'); // fallback\n                              })()}\n                            >\n                              <ExclamationCircleOutlined className=\"text-amber-500 text-sm flex-shrink-0 cursor-pointer\" />\n                            </Tooltip>\n                          )}\n                          {isNew && (\n                            <Tooltip title={t(\"space.new\", \"New imported agent\")}>\n                              <span className=\"inline-flex items-center px-1 h-5 bg-amber-50 dark:bg-amber-900/10 text-amber-700 dark:text-amber-300 rounded-full text-[11px] font-medium border border-amber-200 flex-shrink-0 leading-none\">\n                                <span className=\"px-0.5\">{t(\"space.new\", \"NEW\")}</span>\n                              </span>\n                            </Tooltip>\n                          )}\n                          {displayName && (\n                            <span className=\"text-base leading-normal max-w-[220px] truncate break-all\">\n                              {displayName}\n                            </span>\n                          )}\n                          {hasUnsavedChanges && isSelected && (\n                            <span\n                              aria-label=\"unsaved-indicator\"\n                              title=\"Unsaved changes\"\n                              className=\"ml-2 inline-block w-2.5 h-2.5 rounded-full bg-blue-500\"\n                            />\n                          )}\n                        </div>\n                      </div>\n                      <div\n                        className={`text-xs transition-colors duration-300 leading-[1.25] agent-description break-words ${!isAvailable ? \"text-gray-400\" : \"text-gray-500\"}`}\n                        style={{\n                          display: \"-webkit-box\",\n                          WebkitLineClamp: 2,\n                          WebkitBoxOrient: \"vertical\",\n                          overflow: \"hidden\",\n                          textOverflow: \"ellipsis\",\n                        }}\n                      >\n                        {agent.description}\n                      </div>\n                    </Flex>\n                  );\n                },\n              },\n              {\n                key: \"actions\",\n                width: 130,\n                render: (_: any, agent: Agent) => (\n                  <div\n                    style={{\n                      display: \"flex\",\n                      alignItems: \"center\",\n                      gap: 8,\n                      justifyContent: \"flex-center\",\n                    }}\n                  >\n                    <Tooltip title={t(\"agent.contextMenu.copy\")}>\n                      <span>\n                        <Button\n                          type=\"text\"\n                          size=\"small\"\n                          icon={\n                            <Copy\n                              className=\"w-4 h-4\"\n                              style={{ color: token.colorPrimary }}\n                            />\n                          }\n                          onClick={(e) => {\n                            e.preventDefault();\n                            e.stopPropagation();\n                            handleCopyAgentWithConfirm(agent);\n                          }}\n                          disabled={agent.is_available === false}\n                          className=\"agent-action-button agent-action-button-blue\"\n                        />\n                      </span>\n                    </Tooltip>\n\n                    <Tooltip title={t(\"agent.action.viewCallRelationship\")}>\n                      <span>\n                        <Button\n                          type=\"text\"\n                          size=\"small\"\n                          icon={\n                            <Network\n                              className=\"w-4 h-4\"\n                              style={{ color: token.colorPrimary }}\n                            />\n                          }\n                          onClick={(e) => {\n                            e.preventDefault();\n                            e.stopPropagation();\n                            handleViewCallRelationship(agent);\n                          }}\n                          disabled={agent.is_available === false}\n                          className=\"agent-action-button agent-action-button-blue\"\n                        />\n                      </span>\n                    </Tooltip>\n\n                    <Tooltip title={t(\"agent.contextMenu.export\")}>\n                      <span>\n                        <Button\n                          type=\"text\"\n                          size=\"small\"\n                          icon={\n                            <FileOutput\n                              className=\"w-4 h-4\"\n                              style={{ color: token.colorSuccess }}\n                            />\n                          }\n                          onClick={(e) => {\n                            e.preventDefault();\n                            e.stopPropagation();\n                            handleExportAgent(agent);\n                          }}\n                          disabled={agent.is_available === false}\n                          className=\"agent-action-button agent-action-button-green\"\n                        />\n                      </span>\n                    </Tooltip>\n\n                    <Tooltip\n                      title={\n                        agent.permission === \"READ_ONLY\"\n                          ? t(\"agent.noEditPermission\")\n                          : t(\"agent.contextMenu.delete\")\n                      }\n                    >\n                      <span>\n                        <Button\n                          type=\"text\"\n                          size=\"small\"\n                          icon={\n                            <Trash2\n                              className=\"w-4 h-4\"\n                              style={{\n                                color:\n                                  agent.permission === \"READ_ONLY\"\n                                    ? token.colorTextDisabled\n                                    : token.colorError,\n                              }}\n                            />\n                          }\n                          onClick={(e) => {\n                            e.preventDefault();\n                            e.stopPropagation();\n                            handleDeleteAgentWithConfirm(agent);\n                          }}\n                          disabled={agent.permission === \"READ_ONLY\"}\n                          className=\"agent-action-button agent-action-button-red\"\n                        />\n                      </span>\n                    </Tooltip>\n                  </div>\n                ),\n              },\n            ]}\n          />\n        </div>\n      </Flex>\n\n      {/* Agent call relationship modal */}\n      {selectedAgentForRelationship && (\n        <AgentCallRelationshipModal\n          visible={callRelationshipModalVisible}\n          onClose={handleCloseCallRelationshipModal}\n          agentId={Number(selectedAgentForRelationship.id)}\n          agentName={\n            selectedAgentForRelationship.display_name ||\n            selectedAgentForRelationship.name\n          }\n        />\n      )}\n    </Col>\n  );\n}\n"
  },
  {
    "path": "frontend/app/[locale]/agents/page.tsx",
    "content": "\"use client\";\n\nimport { Card, Row, Col, Flex, Button } from \"antd\";\nimport { useSearchParams } from \"next/navigation\";\nimport { useEffect, useState } from \"react\";\n\n\nimport { useSetupFlow } from \"@/hooks/useSetupFlow\";\nimport { motion } from \"framer-motion\";\nimport AgentManageComp from \"./components/AgentManageComp\";\nimport AgentConfigComp from \"./components/AgentConfigComp\";\nimport AgentInfoComp from \"./components/AgentInfoComp\";\nimport { useAgentConfigStore } from \"@/stores/agentConfigStore\";\nimport AgentVersionManage from \"./AgentVersionManage\";\n\nexport default function AgentSetupOrchestrator() {\n  const { pageVariants, pageTransition } = useSetupFlow();\n  const searchParams = useSearchParams();\n  const enterCreateMode = useAgentConfigStore((state) => state.enterCreateMode);\n  const reset = useAgentConfigStore((state) => state.reset);\n\n  // Local UI state for version panel\n  const [isShowVersionManagePanel, setIsShowVersionManagePanel] = useState(false);\n\n  // Handle auto-create mode from URL params\n  useEffect(() => {\n    const create = searchParams.get('create');\n    if (create === 'true') {\n      // Small delay to ensure component is fully mounted\n      setTimeout(() => {\n        enterCreateMode();\n      }, 100);\n    }\n  }, [searchParams, enterCreateMode]);\n\n  // Reset agent selection state when leaving the page\n  useEffect(() => {\n    return () => {\n      reset();\n    };\n  }, [reset]);\n\n  return (\n    <div className=\"w-full h-full p-8\">\n      <motion.div\n        initial=\"initial\"\n        animate=\"in\"\n        exit=\"out\"\n        variants={pageVariants}\n        transition={pageTransition}\n        style={{ width: \"100%\", height: \"100%\" }}\n      >\n        {/* Main content area with adaptive width */}\n        <Flex className=\"h-full w-full\" gap={16}>\n          <Card\n            className=\"h-full min-h-0 flex-1\"\n            style={{ minHeight: 400, overflow: \"hidden\" }}\n          >\n            <style jsx global>{`\n              .ant-card-body {\n                height: 100%;\n              }\n            `}</style>\n            {/* Three-column layout using Ant Design Grid */}\n            <Row\n              gutter={[16, 16]}\n              className=\"h-full min-h-0 w-full\"\n              align=\"stretch\"\n            >\n              {/* Left column: Agent Management */}\n              <Col\n                xs={24}\n                sm={24}\n                md={24}\n                lg={8}\n                className=\"flex flex-col h-full w-full\"\n              >\n                <AgentManageComp />\n              </Col>\n\n              {/* Middle column: Agent Config */}\n              <Col\n                xs={24}\n                sm={24}\n                md={24}\n                lg={8}\n                className=\"flex flex-col h-full w-full\"\n              >\n                <AgentConfigComp />\n              </Col>\n\n              {/* Right column: Agent Info */}\n              <Col\n                xs={24}\n                sm={24}\n                md={24}\n                lg={8}\n                className=\"flex flex-col h-full w-full\"\n              >\n                <AgentInfoComp\n                  isShowVersionManagePanel={isShowVersionManagePanel}\n                  openVersionManagePanel={() => setIsShowVersionManagePanel(true)}\n                  closeVersionManagementPanel={() => setIsShowVersionManagePanel(false)}\n                />\n              </Col>\n            </Row>\n          </Card>\n\n          {/* Version Management Panel - Fixed width */}\n          {isShowVersionManagePanel && (\n            <motion.div\n              initial={{ opacity: 0, x: 20 }}\n              animate={{ opacity: 1, x: 0 }}\n              exit={{ opacity: 0, x: 20 }}\n              transition={{ duration: 0.2 }}\n              style={{ width: 400, height: \"100%\", flexShrink: 0 }}\n            >\n              <AgentVersionManage />\n            </motion.div>\n          )}\n        </Flex>\n      </motion.div>\n    </div>\n  )\n}\n"
  },
  {
    "path": "frontend/app/[locale]/agents/versions/AgentVersionCompareModal.tsx",
    "content": "\"use client\";\n\nimport { useTranslation } from \"react-i18next\";\nimport { Modal, Flex, Spin, Empty, Table, Tag, Typography, Button, Select } from \"antd\";\nimport {\n  AlertTriangle,\n  RotateCcw,\n  Cpu,\n  FileText,\n  MessageCircle,    \n  Wrench,\n  Bot,\n  PencilLine\n} from \"lucide-react\";\n\nimport type { VersionCompareResponse } from \"@/services/agentVersionService\";\n\nconst { Text } = Typography;\n\nexport interface AgentVersionCompareModalProps {\n  open: boolean;\n  loading: boolean;\n  compareData: VersionCompareResponse | null;\n  onCancel: () => void;\n  /**\n   * Whether to show rollback confirm action.\n   * If true, confirm button and rollback title will be used.\n   */\n  showRollback?: boolean;\n  onRollbackConfirm?: () => void;\n  rollbackLoading?: boolean;\n  /**\n   * Version select data and handlers.\n   * When provided, version columns will render Select components for switching versions.\n   */\n  versionList?: { version_no: number; version_name?: string | null }[];\n  currentVersionNo?: number;\n  selectedVersionNoA?: number | null;\n  selectedVersionNoB?: number | null;\n  onChangeVersionA?: (versionNo: number) => void;\n  onChangeVersionB?: (versionNo: number) => void;\n}\n\nexport default function AgentVersionCompareModal({\n  open,\n  loading,\n  compareData,\n  onCancel,\n  showRollback = false,\n  onRollbackConfirm,\n  rollbackLoading = false,\n  versionList,\n  currentVersionNo,\n  selectedVersionNoA,\n  selectedVersionNoB,\n  onChangeVersionA,\n  onChangeVersionB,\n}: AgentVersionCompareModalProps) {\n  const { t } = useTranslation(\"common\");\n\n  const versionOptions =\n    versionList?.map((version) => {\n      const baseLabel = version.version_name || `V${version.version_no}`;\n      const isCurrent = currentVersionNo !== undefined && version.version_no === currentVersionNo;\n      return {\n        value: version.version_no,\n        label: isCurrent\n          ? `${baseLabel}（${t(\"agent.version.currentVersion\")}）`\n          : baseLabel,\n      };\n    }) ?? [];\n\n  const footer = showRollback\n    ? [\n        <Button key=\"cancel\" onClick={onCancel}>\n          {t(\"common.cancel\")}\n        </Button>,\n        <Button\n          key=\"confirm\"\n          type=\"primary\"\n          danger\n          icon={<RotateCcw size={14} />}\n          loading={rollbackLoading}\n          onClick={onRollbackConfirm}\n        >\n          {t(\"agent.version.confirmRollback\")}\n        </Button>,\n      ]\n    : [\n        <Button key=\"close\" type=\"primary\" onClick={onCancel}>\n          {t(\"common.button.close\")}\n        </Button>,\n      ];\n\n  return (\n    <Modal\n      title={\n        <Flex align=\"center\" gap={8}>\n          <AlertTriangle className=\"text-orange-500\" size={18} />\n          <span>\n            {showRollback\n              ? t(\"agent.version.rollbackCompareTitle\")\n              : t(\"agent.version.compare\")}\n          </span>\n        </Flex>\n      }\n      open={open}\n      onCancel={onCancel}\n      footer={footer}\n      width={800}\n      centered\n    >\n      <Spin spinning={loading}>\n        {compareData?.success && compareData?.data ? (\n          <Flex vertical gap={16}>\n            {(() => {\n              const { version_a, version_b } = compareData.data;\n\n              const columns = [\n                {\n                  title: t(\"agent.version.versionName\"),\n                  dataIndex: \"field\",\n                  key: \"field\",\n                  width: \"25%\",\n                  className: \"bg-gray-50 text-gray-600 font-medium\",\n                },\n                {\n                  title:\n                    versionOptions && onChangeVersionA ? (\n                      <Select\n                        style={{ minWidth: 140 }}\n                        size=\"small\"\n                        value={selectedVersionNoA ?? version_a.version.version_no}\n                        options={versionOptions}\n                        onChange={onChangeVersionA}\n                      />\n                    ) : (\n                      version_a.version.version_name\n                    ),\n                  dataIndex: \"current\",\n                  key: \"current\",\n                  width: \"37%\",\n                },\n                {\n                  title:\n                    versionOptions && onChangeVersionB ? (\n                      <Select\n                        style={{ minWidth: 140 }}\n                        size=\"small\"\n                        value={selectedVersionNoB ?? version_b.version.version_no}\n                        options={versionOptions}\n                        onChange={onChangeVersionB}\n                      />\n                    ) : (\n                      version_b.version.version_name\n                    ),\n                  dataIndex: \"version\",\n                  key: \"version\",\n                  width: \"38%\",\n                },\n              ];\n\n              const data = [\n                {\n                  key: \"name\",\n                  field: (\n                    <Flex align=\"center\" gap={6}>\n                      <PencilLine size={14} className=\"text-gray-400\" />\n                      <span>{t(\"agent.version.field.name\")}</span>\n                    </Flex>\n                  ),\n                  current: (\n                    <span\n                      className={\n                        version_a.name !== version_b.name\n                          ? \"text-orange-500 font-medium\"\n                          : \"text-gray-600\"\n                      }\n                    >\n                      {version_a.name}\n                    </span>\n                  ),\n                  version: (\n                    <span\n                      className={\n                        version_a.name !== version_b.name\n                          ? \"text-green-500 font-medium\"\n                          : \"text-gray-600\"\n                      }\n                    >\n                      {version_b.name}\n                    </span>\n                  ),\n                },\n                {\n                  key: \"model_name\",\n                  field: (\n                    <Flex align=\"center\" gap={6}>\n                      <Cpu size={14} className=\"text-gray-400\" />\n                      <span>{t(\"agent.version.field.modelName\")}</span>\n                    </Flex>\n                  ),\n                  current: (\n                    <span\n                      className={\n                        version_a.model_name !== version_b.model_name\n                          ? \"text-orange-500 font-medium\"\n                          : \"text-gray-600\"\n                      }\n                    >\n                      {version_a.model_name || \"-\"}\n                    </span>\n                  ),\n                  version: (\n                    <span\n                      className={\n                        version_a.model_name !== version_b.model_name\n                          ? \"text-green-500 font-medium\"\n                          : \"text-gray-600\"\n                      }\n                    >\n                      {version_b.model_name || \"-\"}\n                    </span>\n                  ),\n                },\n                {\n                  key: \"description\",\n                  field: (\n                    <Flex align=\"center\" gap={6}>\n                      <FileText size={14} className=\"text-gray-400\" />\n                      <span>{t(\"agent.version.field.description\")}</span>\n                    </Flex>\n                  ),\n                  current: (\n                    <Text\n                      type=\"secondary\"\n                      className={`text-xs ${\n                        version_a.description !== version_b.description\n                          ? \"text-orange-500\"\n                          : \"\"\n                      }`}\n                    >\n                      {version_a.description || \"-\"}\n                    </Text>\n                  ),\n                  version: (\n                    <Text\n                      type=\"secondary\"\n                      className={`text-xs ${\n                        version_a.description !== version_b.description\n                          ? \"text-green-500\"\n                          : \"\"\n                      }`}\n                    >\n                      {version_b.description || \"-\"}\n                    </Text>\n                  ),\n                },\n                {\n                  key: \"duty_prompt\",\n                  field: (\n                    <Flex align=\"center\" gap={6}>\n                      <MessageCircle size={14} className=\"text-gray-400\" />\n                      <span>{t(\"agent.version.field.dutyPrompt\")}</span>\n                    </Flex>\n                  ),\n                  current: (\n                    <Text\n                      type=\"secondary\"\n                      className={`text-xs ${\n                        version_a.duty_prompt !== version_b.duty_prompt\n                          ? \"text-orange-500\"\n                          : \"\"\n                      }`}\n                    >\n                      {version_a.duty_prompt?.slice(0, 100) || \"-\"}\n                      {version_a.duty_prompt &&\n                        version_a.duty_prompt.length > 100 &&\n                        \"...\"}\n                    </Text>\n                  ),\n                  version: (\n                    <Text\n                      type=\"secondary\"\n                      className={`text-xs ${\n                        version_a.duty_prompt !== version_b.duty_prompt\n                          ? \"text-green-500\"\n                          : \"\"\n                      }`}\n                    >\n                      {version_b.duty_prompt?.slice(0, 100) || \"-\"}\n                      {version_b.duty_prompt &&\n                        version_b.duty_prompt.length > 100 &&\n                        \"...\"}\n                    </Text>\n                  ),\n                },\n                {\n                  key: \"tools\",\n                  field: (\n                    <Flex align=\"center\" gap={6}>\n                      <Wrench size={14} className=\"text-gray-400\" />\n                      <span>{t(\"agent.version.field.tools\")}</span>\n                    </Flex>\n                  ),\n                  current: (\n                    <Tag\n                      color={\n                        version_a.tools?.length !== version_b.tools?.length\n                          ? \"orange\"\n                          : \"default\"\n                      }\n                    >\n                      {version_a.tools?.length || 0}\n                    </Tag>\n                  ),\n                  version: (\n                    <Tag\n                      color={\n                        version_a.tools?.length !== version_b.tools?.length\n                          ? \"green\"\n                          : \"default\"\n                      }\n                    >\n                      {version_b.tools?.length || 0}\n                    </Tag>\n                  ),\n                },\n                {\n                  key: \"sub_agents\",\n                  field: (\n                    <Flex align=\"center\" gap={6}>\n                      <Bot size={14} className=\"text-gray-400\" />\n                      <span>{t(\"agent.version.field.subAgents\")}</span>\n                    </Flex>\n                  ),\n                  current: (\n                    <Tag\n                      color={\n                        version_a.sub_agent_id_list?.length !==\n                        version_b.sub_agent_id_list?.length\n                          ? \"orange\"\n                          : \"default\"\n                      }\n                    >\n                      {version_a.sub_agent_id_list?.length || 0}\n                    </Tag>\n                  ),\n                  version: (\n                    <Tag\n                      color={\n                        version_a.sub_agent_id_list?.length !==\n                        version_b.sub_agent_id_list?.length\n                          ? \"green\"\n                          : \"default\"\n                      }\n                    >\n                      {version_b.sub_agent_id_list?.length || 0}\n                    </Tag>\n                  ),\n                },\n              ];\n\n              return (\n                <Table\n                  dataSource={data}\n                  columns={columns}\n                  pagination={false}\n                  size=\"small\"\n                  bordered\n                />\n              );\n            })()}\n          </Flex>\n        ) : (\n          <Empty description={t(\"agent.version.compareFailed\")} />\n        )}\n      </Spin>\n    </Modal>\n  );\n}\n\n"
  },
  {
    "path": "frontend/app/[locale]/agents/versions/AgentVersionPubulishModal.tsx",
    "content": "\"use client\";\n\nimport { useState, useEffect } from \"react\";\nimport { useTranslation } from \"react-i18next\";\nimport { Modal, Form, Input, Button, message } from \"antd\";\nimport { useQueryClient } from \"@tanstack/react-query\";\n\nimport { publishVersion, updateVersion } from \"@/services/agentVersionService\";\nimport { useAgentVersionList } from \"@/hooks/agent/useAgentVersionList\";\nimport log from \"@/lib/logger\";\n\nconst { TextArea } = Input;\n\nexport interface AgentVersionPubulishModalProps {\n  open: boolean;\n  onClose: () => void;\n  agentId?: number | null;\n  versionNo?: number | null;\n  isEdit?: boolean;\n  initialValues?: {\n    version_name?: string;\n    release_note?: string;\n  };\n  onPublished?: () => void;\n  onUpdated?: () => void;\n}\n\nexport default function AgentVersionPubulishModal({\n  open,\n  onClose,\n  agentId,\n  versionNo,\n  isEdit = false,\n  initialValues,\n  onPublished,\n  onUpdated,\n}: AgentVersionPubulishModalProps) {\n  const { t } = useTranslation(\"common\");\n  const queryClient = useQueryClient();\n\n  // Get version list for duplicate name validation\n  const { agentVersionList } = useAgentVersionList(agentId ?? null);\n\n  const [isLoading, setIsLoading] = useState(false);\n  const [publishForm] = Form.useForm();\n\n  // Reset form when modal opens or initialValues changes\n  useEffect(() => {\n    if (open) {\n      if (isEdit && initialValues) {\n        publishForm.setFieldsValue(initialValues);\n      } else if (!isEdit) {\n        publishForm.resetFields();\n      }\n    }\n  }, [open, isEdit, initialValues, publishForm]);\n\n  // Custom validator for duplicate version name\n  const validateVersionName = {\n    validator(_: unknown, value: string) {\n      if (!value) {\n        return Promise.resolve();\n      }\n\n      // Find duplicate version name (exclude current version if editing)\n      const duplicate = (agentVersionList || []).find(\n        (v) =>\n          v.version_name?.toLowerCase() === value.toLowerCase() &&\n          (!isEdit || v.version_no !== versionNo)\n      );\n\n      if (duplicate) {\n        return Promise.reject(new Error(t(\"agent.version.versionNameDuplicate\")));\n      }\n\n      return Promise.resolve();\n    },\n  };\n\n  const handleSubmit = async (values: { version_name?: string; release_note?: string }) => {\n    if (isEdit) {\n      await handleUpdate(values);\n    } else {\n      await handlePublish(values);\n    }\n  };\n\n  const handlePublish = async (values: { version_name?: string; release_note?: string }) => {\n    if (!agentId) {\n      message.error(t(\"agent.error.agentNotFound\"));\n      return;\n    }\n\n    if (isLoading) {\n      log.warn(\"Publish request already in progress, ignoring duplicate click\");\n      return;\n    }\n\n    try {\n      setIsLoading(true);\n      await publishVersion(agentId, values);\n      message.success(t(\"agent.version.publishSuccess\"));\n      onClose();\n      publishForm.resetFields();\n      onPublished?.();\n      queryClient.invalidateQueries({ queryKey: [\"agents\"] });\n      queryClient.invalidateQueries({ queryKey: [\"publishedAgentsList\"] });\n    } catch (error) {\n      log.error(\"Failed to publish version:\", error);\n      message.error(t(\"agent.version.publishFailed\"));\n    } finally {\n      setIsLoading(false);\n    }\n  };\n\n  const handleUpdate = async (values: { version_name?: string; release_note?: string }) => {\n    if (!agentId || !versionNo) {\n      message.error(t(\"agent.error.agentNotFound\"));\n      return;\n    }\n\n    if (isLoading) {\n      log.warn(\"Update request already in progress, ignoring duplicate click\");\n      return;\n    }\n\n    try {\n      setIsLoading(true);\n      const result = await updateVersion(agentId, versionNo, values);\n      if (result.success) {\n        message.success(t(\"agent.version.updateSuccess\"));\n        onClose();\n        publishForm.resetFields();\n        onUpdated?.();\n        queryClient.invalidateQueries({ queryKey: [\"agents\"] });\n        queryClient.invalidateQueries({ queryKey: [\"publishedAgentsList\"] });\n      } else {\n        message.error(result.message || t(\"agent.version.updateFailed\"));\n      }\n    } catch (error) {\n      log.error(\"Failed to update version:\", error);\n      message.error(t(\"agent.version.updateFailed\"));\n    } finally {\n      setIsLoading(false);\n    }\n  };\n\n  return (\n    <Modal\n      centered\n      title={isEdit ? t(\"common.edit\") : t(\"agent.version.publish\")}\n      open={open}\n      onCancel={onClose}\n      footer={null}\n      destroyOnHidden\n    >\n      <Form\n        form={publishForm}\n        layout=\"vertical\"\n        onFinish={handleSubmit}\n      >\n        <Form.Item\n          label={t(\"agent.version.versionName\")}\n          name=\"version_name\"\n          rules={[\n            { required: true, message: t(\"agent.version.versionNameRequired\") },\n            validateVersionName,\n          ]}\n        >\n          <Input placeholder={t(\"agent.version.versionNamePlaceholder\")} />\n        </Form.Item>\n        <Form.Item\n          label={t(\"agent.version.releaseNote\")}\n          name=\"release_note\"\n        >\n          <TextArea\n            rows={4}\n            placeholder={t(\"agent.version.releaseNotePlaceholder\")}\n          />\n        </Form.Item>\n        <Form.Item className=\"mb-0\">\n          <div className=\"flex justify-end gap-2\">\n            <Button onClick={onClose} disabled={isLoading}>\n              {t(\"common.cancel\")}\n            </Button>\n            <Button\n              type=\"primary\"\n              htmlType=\"submit\"\n              loading={isLoading}\n              disabled={isLoading}\n            >\n              {isEdit ? t(\"common.confirm\") : t(\"agent.version.publish\")}\n            </Button>\n          </div>\n        </Form.Item>\n      </Form>\n    </Modal>\n  );\n}\n"
  },
  {
    "path": "frontend/app/[locale]/chat/components/chatAgentSelector.tsx",
    "content": "\"use client\";\n\nimport React, { useState, useEffect, useRef, useMemo } from \"react\";\nimport { createPortal } from \"react-dom\";\nimport { useTranslation } from \"react-i18next\";\nimport { ChevronDown, MousePointerClick, AlertCircle } from \"lucide-react\";\n\nimport { getUrlParam } from \"@/lib/utils\";\nimport log from \"@/lib/logger\";\nimport { ChatAgentSelectorProps } from \"@/types/chat\";\nimport { Agent } from \"@/types/agentConfig\";\nimport { clearAgentNewMark } from \"@/services/agentConfigService\";\nimport { usePublishedAgentList } from \"@/hooks/agent/usePublishedAgentList\";\n\nexport function ChatAgentSelector({\n  selectedAgentId,\n  onAgentSelect,\n  disabled = false,\n  isInitialMode = false,\n}: ChatAgentSelectorProps) {\n  const [isOpen, setIsOpen] = useState(false);\n  const [dropdownPosition, setDropdownPosition] = useState({\n    top: 0,\n    left: 0,\n    direction: \"down\",\n  });\n  const [isPositionCalculated, setIsPositionCalculated] = useState(false);\n  const [isAutoSelectInit, setIsAutoSelectInit] = useState(false);\n  const { t } = useTranslation(\"common\");\n  const buttonRef = useRef<HTMLDivElement>(null);\n  const { agents, invalidate, isLoading } = usePublishedAgentList();\n\n  const selectedAgent = agents.find(\n    (agent: Agent) => agent.id === String(selectedAgentId)\n  );\n\n  // Detect duplicate agent names and mark later-added agents as disabled\n  // For agents with the same name, keep the first one (smallest ID) enabled, disable the rest\n  const duplicateAgentInfo = useMemo(() => {\n    // Create a map to track agents by name\n    const nameToAgents = new Map<string, Agent[]>();\n\n    agents.forEach((agent: Agent) => {\n      const agentName = agent.name;\n      if (!nameToAgents.has(agentName)) {\n        nameToAgents.set(agentName, []);\n      }\n      nameToAgents.get(agentName)!.push(agent);\n    });\n\n    // For each group of agents with the same name, sort by ID (smallest first)\n    // Mark all except the first one as disabled\n    const disabledAgentIds = new Set<string>();\n\n    nameToAgents.forEach((agents, name) => {\n      if (agents.length > 1) {\n        // Sort by id (smallest first)\n        const sortedAgents = [...agents].sort((a, b) => Number(a.id) - Number(b.id));\n\n        // Mark all except the first one as disabled\n        for (let i = 1; i < sortedAgents.length; i++) {\n          disabledAgentIds.add(sortedAgents[i].id);\n        }\n      }\n    });\n\n    return { disabledAgentIds, nameToAgents };\n  }, [agents]);\n\n  /**\n   * Handle URL parameter auto-selection logic for Agent\n   */\n  const handleAutoSelectAgent = () => {\n    if (agents.length === 0 || isAutoSelectInit) return;\n\n    // Get agent_id parameter from URL\n    const agentId = getUrlParam(\"agent_id\", null as string | null, (str) =>\n      str ? str : null\n    );\n    if (agentId === null) return;\n\n    // Check if agentId is a valid and effectively available agent\n    const agent = agents.find((a: Agent) => a.id === agentId);\n    if (agent) {\n      const isAvailableTool = agent.is_available !== false;\n      const isDuplicateDisabled = duplicateAgentInfo.disabledAgentIds.has(agent.id);\n      const isEffectivelyAvailable = isAvailableTool && !isDuplicateDisabled;\n\n      if (isEffectivelyAvailable) {\n        handleAgentSelect(agent.id);\n        setIsAutoSelectInit(true);\n      }\n    }\n  };\n\n  // Execute auto-selection logic when agents are loaded\n  useEffect(() => {\n    handleAutoSelectAgent();\n    // eslint-disable-next-line react-hooks/exhaustive-deps\n  }, [agents, duplicateAgentInfo]);\n\n  // Calculate dropdown position\n  useEffect(() => {\n    if (isOpen && buttonRef.current) {\n      const buttonRect = buttonRef.current.getBoundingClientRect();\n      const viewportHeight = window.innerHeight;\n      const dropdownHeight = 320; // Estimated dropdown height (max-h-80), can be adjusted based on agent count\n\n      // Check if there's enough space to display below\n      const hasSpaceBelow =\n        buttonRect.bottom + dropdownHeight + 10 < viewportHeight;\n      // Check if there's enough space to display above\n      const hasSpaceAbove = buttonRect.top - dropdownHeight - 10 > 0;\n\n      let direction = \"down\";\n      let top = buttonRect.bottom + 4;\n\n      // Decide direction: prioritize suggested direction, but adjust if space is insufficient\n      if (isInitialMode) {\n        // Initial mode prioritizes downward\n        if (!hasSpaceBelow && hasSpaceAbove) {\n          direction = \"up\";\n          top = buttonRect.top - 4;\n        }\n      } else {\n        // Non-initial mode prioritizes upward\n        direction = \"up\";\n        top = buttonRect.top - 4;\n        if (!hasSpaceAbove && hasSpaceBelow) {\n          direction = \"down\";\n          top = buttonRect.bottom + 4;\n        }\n      }\n\n      setDropdownPosition({\n        top,\n        left: buttonRect.left,\n        direction,\n      });\n      setIsPositionCalculated(true);\n    } else if (!isOpen) {\n      setIsPositionCalculated(false);\n    }\n  }, [isOpen, isInitialMode]);\n\n  // Listen for window scroll and resize events, close dropdown\n  useEffect(() => {\n    if (!isOpen) return;\n\n    const handleScroll = (e: Event) => {\n      // If scrolling occurs inside the dropdown, don't close it\n      const target = e.target as Node;\n      const dropdownElement = document.querySelector(\n        \".agent-selector-dropdown\"\n      );\n      if (\n        dropdownElement &&\n        (dropdownElement === target || dropdownElement.contains(target))\n      ) {\n        return;\n      }\n\n      // If it's page scrolling or other container scrolling, close the dropdown\n      setIsOpen(false);\n    };\n\n    const handleResize = () => {\n      setIsOpen(false);\n    };\n\n    // Use event capture phase\n    window.addEventListener(\"scroll\", handleScroll, true);\n    window.addEventListener(\"resize\", handleResize);\n\n    return () => {\n      window.removeEventListener(\"scroll\", handleScroll, true);\n      window.removeEventListener(\"resize\", handleResize);\n    };\n  }, [isOpen]);\n\n  const handleAgentSelect = async (agentId: string | null) => {\n    // Only effectively available agents can be selected\n    if (agentId !== null) {\n      const agent = agents.find((a: Agent) => a.id === agentId);\n      if (agent) {\n        const isAvailableTool = agent.is_available !== false;\n        const isDuplicateDisabled = duplicateAgentInfo.disabledAgentIds.has(agent.id);\n        const isEffectivelyAvailable = isAvailableTool && !isDuplicateDisabled;\n\n        if (!isEffectivelyAvailable) {\n          return; // Unavailable agents cannot be selected\n        }\n\n        // Clear NEW mark when agent is selected for chat (only if marked as new)\n        if (agent.is_new === true) {\n          try {\n            const res = await clearAgentNewMark(Number(agentId));\n            if (res?.success) {\n              // Invalidate the query to refresh agents list\n              invalidate();\n            } else {\n              log.warn(\"Failed to clear NEW mark on select:\", res);\n            }\n          } catch (e) {\n            log.error(\"Failed to clear NEW mark on select:\", e);\n          }\n        }\n      }\n    }\n\n    onAgentSelect(agentId);\n    setIsOpen(false);\n\n    // If it's an iframe embedded page, send postMessage to the parent page\n    if (window.self !== window.top) {\n      try {\n        const selectedAgent = agents.find(\n          (agent: Agent) => agent.id === agentId\n        );\n        const message = {\n          type: \"agent_selected\",\n          agent_id: agentId,\n          agent_name: selectedAgent?.name || null,\n          timestamp: Date.now(),\n          source: \"agent_selector\",\n        };\n\n        // Send postMessage to the parent page\n        window.parent.postMessage(message, \"*\");\n      } catch (error) {\n        log.error(\"Failed to send postMessage:\", error);\n      }\n    }\n  };\n\n  // Show all agents, including unavailable ones\n  const allAgents = agents;\n\n  return (\n    <div className=\"relative\">\n      <div\n        ref={buttonRef}\n        className={`\n          relative h-8 min-w-[150px] max-w-[250px] px-2\n          rounded-lg border border-slate-200\n          bg-white hover:bg-slate-50\n          flex items-center justify-between\n          cursor-pointer select-none\n          transition-colors duration-150\n          ${disabled || isLoading ? \"opacity-50 cursor-not-allowed\" : \"\"}\n          ${\n            isOpen\n              ? \"border-blue-400 ring-2 ring-blue-100\"\n              : \"hover:border-slate-300\"\n          }\n        `}\n        onClick={() => !disabled && !isLoading && setIsOpen(!isOpen)}\n      >\n        <div className=\"flex items-center gap-2 truncate\">\n          {selectedAgent && (\n            <MousePointerClick className=\"w-4 h-4 text-blue-500 flex-shrink-0\" />\n          )}\n          <span\n            className={`truncate text-sm ${\n              selectedAgent ? \"font-medium text-slate-700\" : \"text-slate-500\"\n            }`}\n          >\n            {isLoading ? (\n              <div className=\"flex items-center gap-2\">\n                <div className=\"w-4 h-4 border-2 border-slate-300 border-t-slate-500 rounded-full animate-spin\" />\n                <span>{t(\"agentSelector.loading\")}</span>\n              </div>\n            ) : selectedAgent ? (\n              selectedAgent.display_name\n            ) : (\n              t(\"agentSelector.selectAgent\")\n            )}\n          </span>\n        </div>\n        <ChevronDown\n          className={`h-4 w-4 text-slate-400 transition-transform duration-200 ${\n            isOpen ? \"rotate-180\" : \"\"\n          }`}\n        />\n      </div>\n\n      {/* Portal renders dropdown to body to avoid being blocked by parent container */}\n      {isOpen &&\n        isPositionCalculated &&\n        typeof window !== \"undefined\" &&\n        createPortal(\n          <>\n            {/* Overlay */}\n            <div\n              className=\"fixed inset-0 z-[9998]\"\n              onClick={() => setIsOpen(false)}\n              onWheel={(e) => {\n                // If scrolling occurs inside the dropdown, don't close it\n                const target = e.target as Node;\n                const dropdownElement = document.querySelector(\n                  \".agent-selector-dropdown\"\n                );\n                if (\n                  dropdownElement &&\n                  (dropdownElement === target ||\n                    dropdownElement.contains(target))\n                ) {\n                  return;\n                }\n                setIsOpen(false);\n              }}\n            />\n\n            {/* Dropdown */}\n            <div\n              className=\"agent-selector-dropdown fixed bg-white border border-slate-200 rounded-md shadow-lg z-[9999] max-h-80 overflow-y-auto\"\n              style={{\n                top:\n                  dropdownPosition.direction === \"up\"\n                    ? `${dropdownPosition.top}px`\n                    : `${dropdownPosition.top}px`,\n                left: `${dropdownPosition.left}px`,\n                width: `550px`,\n                transform:\n                  dropdownPosition.direction === \"up\"\n                    ? \"translateY(-100%)\"\n                    : \"none\",\n              }}\n              onWheel={(e) => {\n                // Prevent scroll event bubbling, but allow normal scrolling\n                e.stopPropagation();\n              }}\n            >\n              <div className=\"py-1\">\n                {allAgents.length === 0 ? (\n                  <div className=\"px-3 py-2.5 text-sm text-slate-500 text-center\">\n                    {isLoading ? (\n                      <div className=\"flex items-center justify-center gap-2\">\n                        <div className=\"w-4 h-4 border-2 border-slate-300 border-t-slate-500 rounded-full animate-spin\" />\n                        <span>{t(\"agentSelector.loading\")}</span>\n                      </div>\n                    ) : (\n                      t(\"agentSelector.noAvailableAgents\")\n                    )}\n                  </div>\n                ) : (\n                  allAgents.map((agent: Agent, idx: number) => {\n                    const isAvailableTool = agent.is_available !== false;\n                    const isDuplicateDisabled = duplicateAgentInfo.disabledAgentIds.has(agent.id);\n                    const isEffectivelyAvailable = isAvailableTool && !isDuplicateDisabled;\n\n                    // Determine the reason for unavailability\n                    let unavailableReason: string | null = null;\n                    if (!isEffectivelyAvailable) {\n                      if (isDuplicateDisabled) {\n                        unavailableReason = t(\"subAgentPool.tooltip.duplicateNameDisabled\");\n                      } else if (!isAvailableTool) {\n                        unavailableReason = t(\"subAgentPool.tooltip.hasUnavailableTools\");\n                      }\n                    }\n\n                    return (\n                      <div\n                        key={agent.id}\n                        className={`\n                        flex items-start gap-3 px-3.5 py-2.5 text-sm\n                        transition-all duration-150 ease-in-out\n                        ${\n                          isEffectivelyAvailable\n                            ? `hover:bg-slate-50 cursor-pointer ${\n                                selectedAgentId === agent.id\n                                  ? \"bg-blue-50/70 text-blue-600 hover:bg-blue-50/70\"\n                                  : \"\"\n                              }`\n                            : \"opacity-60 cursor-not-allowed bg-slate-50/50\"\n                        }\n                        ${\n                          selectedAgentId === agent.id\n                            ? \"shadow-[inset_2px_0_0_0] shadow-blue-500\"\n                            : \"\"\n                        }\n                        ${idx !== 0 ? \"border-t border-slate-100\" : \"\"}\n                      `}\n                        onClick={() =>\n                          isEffectivelyAvailable && handleAgentSelect(agent.id)\n                        }\n                      >\n                        {/* Agent Icon */}\n                        <div className=\"flex-shrink-0 mt-0.5\">\n                          {isEffectivelyAvailable ? (\n                            <MousePointerClick\n                              className={`h-4 w-4 ${\n                                selectedAgentId === agent.id\n                                  ? \"text-blue-500\"\n                                  : \"text-slate-500\"\n                              }`}\n                            />\n                          ) : (\n                            <AlertCircle className=\"h-4 w-4 text-amber-500\" />\n                          )}\n                        </div>\n\n                        {/* Agent Info */}\n                        <div className=\"flex-1 min-w-0\">\n                          <div\n                            className={`font-medium truncate ${\n                              isEffectivelyAvailable\n                                ? selectedAgentId === agent.id\n                                  ? \"text-blue-600\"\n                                  : \"text-slate-700 hover:text-slate-900\"\n                                : \"text-slate-400\"\n                            }`}\n                          >\n                            <div className=\"flex items-center gap-1.5\">\n                              {/* NEW badge - placed before display_name */}\n                              {(agent as any).is_new && agent.display_name && (\n                                <span className=\"inline-flex items-center px-1 h-5 bg-amber-50 dark:bg-amber-900/10 text-amber-700 dark:text-amber-300 rounded-full text-[11px] font-medium border border-amber-200 flex-shrink-0 leading-none mr-0.5\">\n                                  <span className=\"px-0.5\">{t(\"space.new\", \"NEW\")}</span>\n                                </span>\n                              )}\n                              {agent.display_name && (\n                                <span className=\"text-sm leading-none\">\n                                  {agent.display_name}\n                                </span>\n                              )}\n                              <span\n                                className={`text-sm leading-none align-baseline ${\n                                  agent.display_name ? \"ml-2\" : \"text-sm\"\n                                }`}\n                              >\n                                {agent.name}\n                              </span>\n                            </div>\n                          </div>\n                          <div\n                            className={`text-xs mt-1 leading-relaxed ${\n                              isEffectivelyAvailable\n                                ? selectedAgentId === agent.id\n                                  ? \"text-blue-500\"\n                                  : \"text-slate-500\"\n                                : \"text-slate-400\"\n                            }`}\n                          >\n                            {agent.description}\n                            {unavailableReason && (\n                              <span className=\"block mt-1.5 text-amber-600 font-medium\">\n                                {unavailableReason}\n                              </span>\n                            )}\n                          </div>\n                        </div>\n                      </div>\n                    );\n                  })\n                )}\n              </div>\n            </div>\n          </>,\n          document.body\n        )}\n    </div>\n  );\n}\n"
  },
  {
    "path": "frontend/app/[locale]/chat/components/chatHeader.tsx",
    "content": "\"use client\";\n\nimport { useState, useRef, useEffect } from \"react\";\nimport { useTranslation } from \"react-i18next\";\n\nimport { Input } from \"@/components/ui/input\";\nimport { loadMemoryConfig, setMemorySwitch } from \"@/services/memoryService\";\nimport { useConfig } from \"@/hooks/useConfig\";\nimport log from \"@/lib/logger\";\nimport { useAuthorizationContext } from \"@/components/providers/AuthorizationProvider\";\nimport { useDeployment } from \"@/components/providers/deploymentProvider\";\nimport { USER_ROLES } from \"@/const/auth\";\nimport { useConfirmModal } from \"@/hooks/useConfirmModal\";\n\ninterface ChatHeaderProps {\n  title: string;\n  onRename?: (newTitle: string) => void;\n}\n\nexport function ChatHeader({ title, onRename }: ChatHeaderProps) {\n  const [isEditing, setIsEditing] = useState(false);\n  const [editTitle, setEditTitle] = useState(title);\n\n  const inputRef = useRef<HTMLInputElement>(null);\n  const { t, i18n } = useTranslation(\"common\");\n  const { user } = useAuthorizationContext();\n  const { isSpeedMode } = useDeployment();\n  const { confirm } = useConfirmModal();\n  const { modelConfig } = useConfig();\n  const isAdmin = isSpeedMode || user?.role === USER_ROLES.ADMIN;\n\n  const showAutoOffConfirm = () => {\n    confirm({\n      title: t(\"embedding.chatMemoryAutoDeselectModal.title\"),\n      content: (\n        <div className=\"py-2\">\n          <div className=\"text-sm leading-6\">\n            {t(\"embedding.chatMemoryAutoDeselectModal.content\")}\n          </div>\n          {!isAdmin && (\n            <div className=\"mt-2 text-xs opacity-70\">\n              {t(\"embedding.chatMemoryAutoDeselectModal.tip\")}\n            </div>\n          )}\n        </div>\n      ),\n    });\n  };\n\n  // Update editTitle when the title attribute changes\n  useEffect(() => {\n    setEditTitle(title);\n  }, [title]);\n\n  // Handle double-click event\n  const handleDoubleClick = () => {\n    setIsEditing(true);\n    // Delay focusing to ensure the DOM has updated\n    setTimeout(() => {\n      if (inputRef.current) {\n        inputRef.current.focus();\n        inputRef.current.select();\n      }\n    }, 10);\n  };\n\n  // Check embedding configuration and memory switch once when entering the page\n  useEffect(() => {\n    try {\n      const configured = Boolean(\n        modelConfig?.embedding?.modelName ||\n        modelConfig?.multiEmbedding?.modelName\n      );\n\n      if (!configured) {\n        // If memory switch is on, turn it off automatically and notify the user\n        loadMemoryConfig()\n          .then(async (cfg) => {\n            if (cfg.memoryEnabled) {\n              const ok = await setMemorySwitch(false);\n              if (!ok) {\n                log.warn(\n                  \"Failed to auto turn off memory switch when embedding is not configured\"\n                );\n              }\n              showAutoOffConfirm();\n            }\n          })\n          .catch((e) => {\n            log.error(\"Failed to check memory config on page enter\", e);\n          });\n      }\n    } catch (e) {\n      log.error(\"Failed to read model config for embedding check\", e);\n    }\n  }, []);\n\n  // Handle submit editing\n  const handleSubmit = () => {\n    const trimmedTitle = editTitle.trim();\n    if (trimmedTitle && onRename && trimmedTitle !== title) {\n      onRename(trimmedTitle);\n    } else {\n      setEditTitle(title); // If empty or unchanged, restore the original title\n    }\n    setIsEditing(false);\n  };\n\n  // Handle keydown event\n  const handleKeyDown = (e: React.KeyboardEvent) => {\n    if (e.key === \"Enter\") {\n      handleSubmit();\n    } else if (e.key === \"Escape\") {\n      setEditTitle(title);\n      setIsEditing(false);\n    }\n  };\n\n  return (\n    <>\n      <header className=\"border-b border-transparent bg-background\">\n        <div className=\"w-full flex justify-center pt-4 pb-2\">\n          {isEditing ? (\n            <Input\n              ref={inputRef}\n              value={editTitle}\n              onChange={(e) => setEditTitle(e.target.value)}\n              onKeyDown={handleKeyDown}\n              onBlur={handleSubmit}\n              className=\"text-xl font-bold text-center h-9 max-w-xs\"\n              autoFocus\n            />\n          ) : (\n            <h1\n              className=\"text-xl font-bold cursor-pointer px-2 py-1 rounded border border-transparent hover:border-slate-200\"\n              onDoubleClick={handleDoubleClick}\n              title={t(\"chatHeader.doubleClickToEdit\")}\n            >\n              {title}\n            </h1>\n          )}\n        </div>\n      </header>\n\n    </>\n  );\n}\n"
  },
  {
    "path": "frontend/app/[locale]/chat/components/chatInput.tsx",
    "content": "import { useState, useRef, useEffect } from \"react\";\nimport { useTranslation } from \"react-i18next\";\nimport { Paperclip, Mic, MicOff, Square, X, AlertCircle, Upload } from \"lucide-react\";\nimport {\n  FileImageFilled,\n  FilePdfFilled,\n  FileWordFilled,\n  FileExcelFilled,\n  FilePptFilled,\n  FileTextFilled,\n  FileMarkdownFilled,\n  Html5Filled,\n  CodeFilled,\n  FileUnknownFilled,\n} from \"@ant-design/icons\";\n\nimport { Input } from \"@/components/ui/input\";\nimport { Button } from \"antd\";\nimport { Tooltip } from \"@/components/ui/tooltip\";\nimport { Textarea } from \"@/components/ui/textarea\";\nimport { conversationService } from \"@/services/conversationService\";\nimport { useConfig } from \"@/hooks/useConfig\";\nimport { extractColorsFromUri } from \"@/lib/avatar\";\nimport log from \"@/lib/logger\";\nimport { chatConfig } from \"@/const/chatConfig\";\nimport { FilePreview } from \"@/types/chat\";\n\nimport { ChatAgentSelector } from \"./chatAgentSelector\";\n\n// Image viewer component\nfunction ImageViewer({\n  src,\n  alt,\n  onClose,\n}: {\n  src: string;\n  alt: string;\n  onClose: () => void;\n}) {\n  const { t } = useTranslation(\"common\");\n  return (\n    <div\n      className=\"fixed inset-0 bg-black bg-opacity-70 flex items-center justify-center z-50\"\n      onClick={onClose}\n    >\n      <div\n        className=\"relative max-w-[90%] max-h-[90%]\"\n        onClick={(e) => e.stopPropagation()}\n      >\n        <img\n          src={src}\n          alt={alt}\n          className=\"max-w-full max-h-[90vh] object-contain\"\n        />\n        <button\n          onClick={onClose}\n          className=\"absolute -top-4 -right-4 bg-white p-1 rounded-full shadow-md hover:bg-white transition-colors\"\n          title={t(\"chatInput.close\")}\n        >\n          <X\n            size={16}\n            className=\"text-gray-600 hover:text-red-500 transition-colors\"\n          />\n        </button>\n      </div>\n    </div>\n  );\n}\n\n// File preview component\nfunction FileViewer({ file, onClose }: { file: File; onClose: () => void }) {\n  const [content, setContent] = useState<string | null>(null);\n  const [loading, setLoading] = useState(true);\n  const [error, setError] = useState<string | null>(null);\n  const fileType = file.type;\n  const extension = getFileExtension(file.name);\n  const { t } = useTranslation(\"common\");\n\n  // Read file content\n  useEffect(() => {\n    setLoading(true);\n    setError(null);\n\n    const readTextFile = () => {\n      const reader = new FileReader();\n\n      reader.onload = (event) => {\n        if (event.target?.result) {\n          setContent(event.target.result as string);\n          setLoading(false);\n        }\n      };\n\n      reader.onerror = () => {\n        setError(t(\"chatInput.cannotReadFileContent\"));\n        setLoading(false);\n      };\n\n      reader.readAsText(file);\n    };\n\n    const readBinaryFile = () => {\n      const objectUrl = URL.createObjectURL(file);\n      setContent(objectUrl);\n      setLoading(false);\n\n      return () => {\n        URL.revokeObjectURL(objectUrl);\n      };\n    };\n\n    // Select the appropriate read method based on the file type\n    if (isTextFile(fileType, extension)) {\n      readTextFile();\n    } else {\n      return readBinaryFile();\n    }\n  }, [file, fileType, extension, t]);\n\n  // Determine if it is a text file\n  const isTextFile = (type: string, ext: string) => {\n    return chatConfig.textTypes.includes(type) || chatConfig.textExtensions.includes(ext);\n  };\n\n  // Render file content\n  const renderFileContent = () => {\n    if (loading) {\n      return (\n        <div className=\"text-center py-8\">\n          {t(\"chatInput.loadingFileContent\")}\n        </div>\n      );\n    }\n\n    if (error) {\n      return <div className=\"text-center py-8 text-red-500\">{error}</div>;\n    }\n\n    if (content === null) {\n      return (\n        <div className=\"text-center py-8\">\n          {t(\"chatInput.cannotPreviewFileType\")}\n        </div>\n      );\n    }\n\n    if (fileType.startsWith(\"image/\")) {\n      return (\n        <div className=\"flex justify-center\">\n          <img\n            src={content}\n            alt={file.name}\n            className=\"max-w-full max-h-[70vh] object-contain\"\n          />\n        </div>\n      );\n    }\n\n    if (fileType === \"application/pdf\" || extension === \"pdf\") {\n      return (\n        <iframe src={content} className=\"w-full h-[70vh]\" title={file.name} />\n      );\n    }\n\n    // Display pure text files\n    if (isTextFile(fileType, extension)) {\n      return (\n        <div className=\"bg-gray-50 p-4 rounded-md overflow-auto h-[70vh] whitespace-pre-wrap font-mono text-sm\">\n          {content}\n        </div>\n      );\n    }\n\n    // Files that cannot be previewed\n    return (\n      <div className=\"text-center py-16\">\n        <div className=\"flex justify-center mb-4\">{getFileIcon(file)}</div>\n        <p className=\"text-gray-600\">\n          {t(\"chatInput.thisFileTypeCannotBePreviewed\")}\n        </p>\n      </div>\n    );\n  };\n\n  return (\n    <div\n      className=\"fixed inset-0 bg-black bg-opacity-70 flex items-center justify-center z-50\"\n      onClick={onClose}\n    >\n      <div\n        className=\"relative bg-white rounded-lg p-6 max-w-[90%] max-h-[90%] w-[800px]\"\n        onClick={(e) => e.stopPropagation()}\n      >\n        <div className=\"flex justify-between items-center mb-4\">\n          <h3 className=\"font-medium text-lg flex items-center gap-2\">\n            {getFileIcon(file)}\n            <span className=\"truncate max-w-[600px]\">{file.name}</span>\n          </h3>\n          <button\n            onClick={onClose}\n            className=\"bg-white p-1 rounded-full hover:bg-gray-100\"\n            title={t(\"chatInput.close\")}\n          >\n            <X size={16} className=\"text-gray-600 hover:text-red-500\" />\n          </button>\n        </div>\n\n        <div className=\"border rounded-md\">{renderFileContent()}</div>\n      </div>\n    </div>\n  );\n}\n\n\n\n// Get file extension\nconst getFileExtension = (filename: string): string => {\n  return filename\n    .slice(((filename.lastIndexOf(\".\") - 1) >>> 0) + 2)\n    .toLowerCase();\n};\n\n// Format file size\nconst formatFileSize = (sizeInBytes: number): string => {\n  if (sizeInBytes < 1024) {\n    return `${sizeInBytes} B`;\n  } else if (sizeInBytes < 1024 * 1024) {\n    return `${(sizeInBytes / 1024).toFixed(1)} KB`;\n  } else {\n    return `${(sizeInBytes / (1024 * 1024)).toFixed(1)} MB`;\n  }\n};\n\n// Get file icon\nconst getFileIcon = (file: File) => {\n  const extension = getFileExtension(file.name);\n  const fileType = file.type;\n  const iconSize = 32;\n\n  // Image file\n  if (fileType.startsWith(\"image/\")) {\n    return <FileImageFilled size={iconSize} color=\"#8e44ad\" />;\n  }\n\n  // Check each file type category using config\n  if (chatConfig.fileIcons.pdf.includes(extension)) {\n    return <FilePdfFilled size={iconSize} color=\"#e74c3c\" />;\n  }\n\n  if (chatConfig.fileIcons.word.includes(extension)) {\n    return <FileWordFilled size={iconSize} color=\"#3498db\" />;\n  }\n\n  if (chatConfig.fileIcons.text.includes(extension)) {\n    return <FileTextFilled size={iconSize} color=\"#7f8c8d\" />;\n  }\n\n  if (chatConfig.fileIcons.markdown.includes(extension)) {\n    return <FileMarkdownFilled size={iconSize} color=\"#34495e\" />;\n  }\n\n  if (chatConfig.fileIcons.excel.includes(extension)) {\n    return <FileExcelFilled size={iconSize} color=\"#27ae60\" />;\n  }\n\n  if (chatConfig.fileIcons.powerpoint.includes(extension)) {\n    return <FilePptFilled size={iconSize} color=\"#e67e22\" />;\n  }\n\n  if (chatConfig.fileIcons.html.includes(extension)) {\n    return <Html5Filled size={iconSize} color=\"#e67e22\" />;\n  }\n\n  if (chatConfig.fileIcons.code.includes(extension)) {\n    return <CodeFilled size={iconSize} color=\"#f39c12\" />;\n  }\n\n  if (chatConfig.fileIcons.json.includes(extension)) {\n    return <CodeFilled size={iconSize} color=\"#f1c40f\" />;\n  }\n\n  // Default file icon\n  return <FileUnknownFilled size={iconSize} color=\"#95a5a6\" />;\n};\n\n// File limit constants from config\nconst MAX_FILE_COUNT = chatConfig.maxFileCount;\nconst MAX_FILE_SIZE = chatConfig.maxFileSize;\n\ninterface ChatInputProps {\n  input: string;\n  isLoading: boolean;\n  isStreaming?: boolean;\n  isInitialMode?: boolean;\n  onInputChange: (value: string) => void;\n  onSend: () => void;\n  onStop: () => void;\n  onKeyDown: (e: React.KeyboardEvent) => void;\n  onRecordingStatusChange?: (\n    status: \"idle\" | \"recording\" | \"connecting\" | \"error\"\n  ) => void;\n  onFileUpload?: (file: File) => void;\n  onImageUpload?: (file: File) => void;\n  attachments?: FilePreview[];\n  onAttachmentsChange?: (attachments: FilePreview[]) => void;\n  selectedAgentId?: string | null;\n  onAgentSelect?: (agentId: string | null) => void;\n}\n\nexport function ChatInput({\n  input,\n  isLoading,\n  isStreaming = false,\n  isInitialMode = false,\n  onInputChange,\n  onSend,\n  onStop,\n  onKeyDown,\n  onRecordingStatusChange,\n  onFileUpload,\n  onImageUpload,\n  attachments = [],\n  onAttachmentsChange,\n  selectedAgentId = null,\n  onAgentSelect,\n}: ChatInputProps) {\n  const [isRecording, setIsRecording] = useState(false);\n  const [recordingStatus, setRecordingStatus] = useState<\n    \"idle\" | \"recording\" | \"connecting\" | \"error\"\n  >(\"idle\");\n  const mediaRecorderRef = useRef<MediaRecorder | null>(null);\n  const socketRef = useRef<WebSocket | null>(null);\n  const textareaRef = useRef<HTMLTextAreaElement>(null);\n  const [viewingImage, setViewingImage] = useState<{\n    src: string;\n    alt: string;\n  } | null>(null);\n  const [viewingFile, setViewingFile] = useState<File | null>(null);\n  const [isDragging, setIsDragging] = useState(false);\n  const dropAreaRef = useRef<HTMLDivElement>(null);\n  const [errorMessage, setErrorMessage] = useState<string | null>(null);\n  const [showStopTooltip, setShowStopTooltip] = useState(false);\n  const { t } = useTranslation(\"common\");\n\n  // Use the configuration hook to get the application avatar\n  const { appConfig, getAppAvatarUrl } = useConfig();\n  const avatarUrl = getAppAvatarUrl(40); // Avatar size is 40 in initial mode\n\n  // When the recording status changes, notify the parent component\n  useEffect(() => {\n    onRecordingStatusChange?.(recordingStatus);\n  }, [recordingStatus, onRecordingStatusChange]);\n\n  // Add file drag and drop event listener\n  useEffect(() => {\n    const handleDragOver = (e: DragEvent) => {\n      e.preventDefault();\n      e.stopPropagation();\n      setIsDragging(true);\n    };\n\n    const handleDragLeave = (e: DragEvent) => {\n      e.preventDefault();\n      e.stopPropagation();\n\n      // Check if it really left the drop area\n      if (\n        dropAreaRef.current &&\n        !dropAreaRef.current.contains(e.relatedTarget as Node)\n      ) {\n        setIsDragging(false);\n      }\n    };\n\n    const handleDragExit = (e: DragEvent) => {\n      e.preventDefault();\n      e.stopPropagation();\n      setIsDragging(false);\n    };\n\n    const handleDrop = (e: DragEvent) => {\n      e.preventDefault();\n      e.stopPropagation();\n      setIsDragging(false);\n\n      // Process the files dropped\n      if (e.dataTransfer?.files && e.dataTransfer.files.length > 0) {\n        const files = Array.from(e.dataTransfer.files);\n        handleFilesUpload(files);\n      }\n    };\n\n    // Get the drop area\n    const dropArea = dropAreaRef.current;\n\n    if (dropArea) {\n      // Add event listeners\n      dropArea.addEventListener(\"dragover\", handleDragOver as EventListener);\n      dropArea.addEventListener(\"dragleave\", handleDragLeave as EventListener);\n      dropArea.addEventListener(\"dragexit\", handleDragExit as EventListener);\n      dropArea.addEventListener(\"drop\", handleDrop as EventListener);\n\n      // Cleanup function\n      return () => {\n        dropArea.removeEventListener(\n          \"dragover\",\n          handleDragOver as EventListener\n        );\n        dropArea.removeEventListener(\n          \"dragleave\",\n          handleDragLeave as EventListener\n        );\n        dropArea.removeEventListener(\n          \"dragexit\",\n          handleDragExit as EventListener\n        );\n        dropArea.removeEventListener(\"drop\", handleDrop as EventListener);\n      };\n    }\n  }, []);\n\n  // Add clipboard paste event listener\n  useEffect(() => {\n    // Use the textarea element as the paste target\n    const textarea = textareaRef.current;\n    if (!textarea) return;\n\n    const handlePaste = (e: ClipboardEvent) => {\n      if (e.clipboardData && e.clipboardData.items) {\n        // Get all items from the clipboard\n        const items = e.clipboardData.items;\n        let hasFiles = false;\n        const pastedFiles: File[] = [];\n\n        for (let i = 0; i < items.length; i++) {\n          // Process all file types, not just images\n          if (items[i].kind === \"file\") {\n            hasFiles = true;\n\n            // Get the file object from the clipboard\n            const file = items[i].getAsFile();\n            if (file) {\n              // Generate a file name for the pasted file (if there is no name)\n              let fileName = file.name;\n              if (!fileName || fileName === \"\") {\n                const fileExt = file.type.split(\"/\").pop() || \"\";\n                fileName = `pasted-file-${Date.now()}.${fileExt}`;\n              }\n\n              // Add to the pasted file list\n              pastedFiles.push(new File([file], fileName, { type: file.type }));\n            }\n          }\n        }\n\n        // If files are found, process them\n        if (hasFiles && pastedFiles.length > 0) {\n          e.preventDefault();\n          handleFilesUpload(pastedFiles);\n        }\n      }\n    };\n\n    // Only listen to the paste event of the textarea\n    textarea.addEventListener(\"paste\", handlePaste);\n\n    // Cleanup function\n    return () => {\n      textarea.removeEventListener(\"paste\", handlePaste);\n    };\n  }, [onImageUpload, onFileUpload]);\n\n  // Modify keyboard event handling\n  const handleKeyDown = (e: React.KeyboardEvent) => {\n    if (e.key === \"Enter\" && !e.shiftKey) {\n      e.preventDefault();\n\n      // Check if there is input content, if there is no content, do not send\n      if (!input.trim()) {\n        return;\n      }\n\n      // Check if agent is selected\n      if (!selectedAgentId) {\n        setErrorMessage(t(\"agentSelector.pleaseSelectAgent\"));\n        setTimeout(() => setErrorMessage(null), 3000);\n        return;\n      }\n\n      // If recording, stop recording first and then send the message\n      if (isRecording && mediaRecorderRef.current) {\n        mediaRecorderRef.current.stop();\n        if (\n          socketRef.current &&\n          socketRef.current.readyState === WebSocket.OPEN\n        ) {\n          socketRef.current.close();\n        }\n        setIsRecording(false);\n        setRecordingStatus(\"idle\");\n      }\n      if (isStreaming) {\n        setShowStopTooltip(true);\n        setTimeout(() => setShowStopTooltip(false), 1500);\n        return;\n      }\n      onKeyDown(e);\n    }\n  };\n\n  // Add a function to automatically adjust the height\n  const autoResizeTextarea = () => {\n    const textarea = textareaRef.current;\n    if (!textarea) return;\n\n    // Reset height\n    textarea.style.height = \"60px\";\n\n    // Get the scroll height as the new height\n    const scrollHeight = textarea.scrollHeight;\n\n    // Set the new height, but not more than 200px\n    textarea.style.height = `${Math.min(scrollHeight, 200)}px`;\n  };\n\n  // When the input changes, automatically adjust the height\n  useEffect(() => {\n    autoResizeTextarea();\n  }, [input]);\n\n  // Initialize height after component rendering\n  useEffect(() => {\n    autoResizeTextarea();\n  }, []);\n\n  // Handle recording start/stop\n  const toggleRecording = async () => {\n    if (isRecording) {\n      // Stop recording\n      if (\n        mediaRecorderRef.current &&\n        mediaRecorderRef.current.state === \"recording\"\n      ) {\n        mediaRecorderRef.current.stop();\n      }\n      if (\n        socketRef.current &&\n        socketRef.current.readyState === WebSocket.OPEN\n      ) {\n        socketRef.current.close();\n      }\n      setIsRecording(false);\n      setRecordingStatus(\"idle\");\n    } else {\n      let stream: MediaStream | null = null;\n      let audioContext: AudioContext | null = null;\n      let audioSource: MediaStreamAudioSourceNode | null = null;\n      let processor: ScriptProcessorNode | null = null;\n\n      try {\n        setRecordingStatus(\"connecting\");\n\n        // 1. Request microphone permission\n        const audioConstraints = conversationService.stt.getAudioConstraints();\n\n        stream = await navigator.mediaDevices.getUserMedia(audioConstraints);\n\n        // 2. Create audio processing chain\n        audioContext = new AudioContext(\n          conversationService.stt.getAudioContextOptions()\n        );\n\n        // Resume AudioContext if suspended (browser policy)\n        if (audioContext.state === \"suspended\") {\n          await audioContext.resume();\n        }\n\n        audioSource = audioContext.createMediaStreamSource(stream);\n        processor = audioContext.createScriptProcessor(4096, 1, 1);\n\n        audioSource.connect(processor);\n        processor.connect(audioContext.destination);\n\n        // 3. Create MediaRecorder\n        const mediaRecorder = new MediaRecorder(stream);\n        mediaRecorderRef.current = mediaRecorder;\n\n        // 4. Create WebSocket connection\n        const ws = conversationService.stt.createWebSocket();\n        socketRef.current = ws;\n\n        ws.onopen = () => {\n          setIsRecording(true);\n          setRecordingStatus(\"recording\");\n          try {\n            mediaRecorder.start(250);\n          } catch (error) {\n            log.error(\"❌ Failed to start MediaRecorder:\", error);\n            setRecordingStatus(\"error\");\n            setIsRecording(false);\n            cleanup();\n          }\n        };\n\n        ws.onmessage = (event) => {\n          try {\n            const response = JSON.parse(event.data);\n\n            if (response.result && response.result.text) {\n              onInputChange(response.result.text);\n            } else if (response.text) {\n              onInputChange(response.text);\n            } else if (response.status === \"ready\") {\n            } else if (response.error) {\n              log.error(\"❌ STT service error:\", response.error);\n              setRecordingStatus(\"error\");\n              setIsRecording(false);\n              cleanup();\n            }\n          } catch (error) {\n            log.error(\"⚠️ Failed to parse STT response:\", error);\n          }\n        };\n\n        ws.onerror = (error) => {\n          log.error(\"❌ WebSocket error:\", error);\n          setRecordingStatus(\"error\");\n          setIsRecording(false);\n          cleanup();\n        };\n\n        ws.onclose = (event) => {\n          setIsRecording(false);\n          setRecordingStatus(\"idle\");\n          cleanup();\n        };\n\n        processor.onaudioprocess = (e) => {\n          try {\n            if (ws.readyState === WebSocket.OPEN) {\n              const inputData = e.inputBuffer.getChannelData(0);\n              const pcmData =\n                conversationService.stt.processAudioData(inputData);\n\n              if (pcmData.length > 0) {\n                ws.send(pcmData.buffer);\n              }\n            }\n          } catch (error) {\n            log.error(\"❌ Error in audio processing:\", error);\n            setRecordingStatus(\"error\");\n            setIsRecording(false);\n            cleanup();\n          }\n        };\n\n        mediaRecorder.onstop = () => {\n          cleanup();\n          setIsRecording(false);\n          setRecordingStatus(\"idle\");\n        };\n\n        function cleanup() {\n          if (stream) {\n            stream.getTracks().forEach((track) => {\n              track.stop();\n            });\n          }\n\n          if (audioSource) {\n            try {\n              audioSource.disconnect();\n            } catch (e) {}\n          }\n\n          if (processor) {\n            try {\n              processor.disconnect();\n            } catch (e) {}\n          }\n\n          if (audioContext && audioContext.state !== \"closed\") {\n            try {\n              audioContext.close();\n            } catch (e) {}\n          }\n\n          if (ws && ws.readyState === WebSocket.OPEN) {\n            ws.close();\n          }\n        }\n      } catch (error) {\n        log.error(\"❌ Failed to start recording:\", error);\n        setRecordingStatus(\"error\");\n\n        // Manual cleanup in case of initialization failure\n        if (stream) {\n          stream.getTracks().forEach((track) => track.stop());\n        }\n        if (audioContext && audioContext.state !== \"closed\") {\n          audioContext.close();\n        }\n      }\n    }\n  };\n\n  // Clean up resources when the component is unloaded\n  useEffect(() => {\n    return () => {\n      if (\n        mediaRecorderRef.current &&\n        mediaRecorderRef.current.state === \"recording\"\n      ) {\n        mediaRecorderRef.current.stop();\n      }\n      if (\n        socketRef.current &&\n        socketRef.current.readyState === WebSocket.OPEN\n      ) {\n        socketRef.current.close();\n      }\n    };\n  }, []);\n\n  // Handle multiple file uploads\n  const handleFilesUpload = (files: File[]) => {\n    // Check file number limit\n    if (attachments.length + files.length > MAX_FILE_COUNT) {\n      setErrorMessage(\n        t(\"chatInput.fileCountExceedsLimit\", { count: MAX_FILE_COUNT })\n      );\n      setTimeout(() => setErrorMessage(null), 3000);\n      return;\n    }\n\n    // Process multiple files\n    const newAttachments: FilePreview[] = [];\n\n    // Check the size and type of each file\n    for (const file of files) {\n      // Check the single file size limit\n      if (file.size > MAX_FILE_SIZE) {\n        setErrorMessage(\n          t(\"chatInput.fileSizeExceedsLimit\", { name: file.name })\n        );\n        setTimeout(() => setErrorMessage(null), 3000);\n        return;\n      }\n\n      const fileId = Math.random().toString(36).substring(7);\n      const extension = getFileExtension(file.name);\n\n      // Supported image file types\n      const isImage =\n        file.type.startsWith(\"image/\") ||\n        chatConfig.imageExtensions.includes(extension);\n\n      // Supported document file types\n      const isDocument =\n        chatConfig.documentExtensions.includes(extension) ||\n        file.type === \"application/pdf\" ||\n        file.type.includes(\"officedocument\");\n\n      // Supported text file types\n      const isSupportedTextFile =\n        chatConfig.supportedTextExtensions.includes(extension) ||\n        file.type === \"text/csv\" ||\n        file.type === \"text/plain\";\n\n      if (isImage || isDocument || isSupportedTextFile) {\n        // Create a preview URL for images\n        const previewUrl = isImage ? URL.createObjectURL(file) : undefined;\n\n        newAttachments.push({\n          id: fileId,\n          file,\n          type: isImage ? chatConfig.filePreviewTypes.image : chatConfig.filePreviewTypes.file,\n          fileType: file.type,\n          extension,\n          previewUrl,\n        });\n\n        // Call specific upload callback based on file type\n        if (isImage) {\n          onImageUpload?.(file);\n        } else {\n          onFileUpload?.(file);\n        }\n      } else {\n        // Show error information\n        setErrorMessage(\n          t(\"chatInput.unsupportedFileType\", { name: file.name })\n        );\n        setTimeout(() => setErrorMessage(null), 3000);\n        return;\n      }\n    }\n\n    // Use the onAttachmentsChange callback function to update the attachment list\n    if (onAttachmentsChange && newAttachments.length > 0) {\n      onAttachmentsChange([...attachments, ...newAttachments]);\n    }\n  };\n\n  // Update file processing function\n  const handleFileUpload = (e: React.ChangeEvent<HTMLInputElement>) => {\n    const files = e.target.files;\n    if (!files || files.length === 0) return;\n\n    // Use the common file processing function\n    handleFilesUpload(Array.from(files));\n\n    // Clear the value of the input\n    e.target.value = \"\";\n  };\n\n  // Clean up preview URLs\n  useEffect(() => {\n    return () => {\n      attachments.forEach((attachment) => {\n        if (attachment.previewUrl) {\n          URL.revokeObjectURL(attachment.previewUrl);\n        }\n      });\n    };\n  }, [attachments]);\n\n  // Remove attachment\n  const handleRemoveAttachment = (id: string) => {\n    if (onAttachmentsChange) {\n      // Find the attachment to delete, for cleaning up URLs\n      const attachment = attachments.find((a) => a.id === id);\n      if (attachment?.previewUrl) {\n        URL.revokeObjectURL(attachment.previewUrl);\n      }\n\n      // Filter out the deleted attachment\n      onAttachmentsChange(attachments.filter((a) => a.id !== id));\n    }\n  };\n\n  // Handle viewing images\n  const handleViewImage = (attachment: FilePreview) => {\n    if (attachment.type === chatConfig.filePreviewTypes.image && attachment.file) {\n      // To ensure the preview URL is valid, create a new blob URL\n      // This avoids using a cached URL that may have expired\n      const fileReader = new FileReader();\n      fileReader.onload = (e) => {\n        if (e.target?.result) {\n          const dataUrl = e.target.result.toString();\n          setViewingImage({\n            src: dataUrl,\n            alt: attachment.file.name || t(\"chatInput.image\"),\n          });\n        }\n      };\n      fileReader.readAsDataURL(attachment.file);\n    }\n  };\n\n  // Handle viewing files\n  const handleViewFile = (file: File) => {\n    setViewingFile(file);\n  };\n\n  // Render attachment preview\n  const renderAttachments = () => {\n    if (attachments.length === 0) return null;\n\n    return (\n      <div className=\"px-5 pb-2 pt-3\">\n        <div\n          className=\"max-h-[156px] overflow-y-auto pr-1\"\n          style={{\n            scrollbarWidth: \"thin\" as \"thin\",\n            scrollbarColor: \"#d1d5db transparent\",\n          }}\n        >\n          <div className=\"flex flex-wrap gap-2 items-start\">\n            {attachments.map((attachment) => (\n              <div\n                key={attachment.id}\n                className=\"relative group rounded-md border border-slate-200 bg-white shadow-sm hover:shadow transition-all duration-200 w-[190px] mb-1\"\n              >\n                <div className=\"relative p-2 h-[52px] flex items-center\">\n                  {attachment.type === chatConfig.filePreviewTypes.image ? (\n                    <div className=\"flex items-center gap-3 w-full\">\n                      <div\n                        className=\"w-10 h-10 flex-shrink-0 overflow-hidden rounded-md cursor-pointer\"\n                        onClick={() => handleViewImage(attachment)}\n                      >\n                        {attachment.previewUrl && (\n                          <img\n                            src={attachment.previewUrl}\n                            alt={attachment.file.name}\n                            className=\"w-full h-full object-cover\"\n                            loading=\"lazy\"\n                          />\n                        )}\n                      </div>\n                      <div className=\"flex-1 overflow-hidden\">\n                        <span\n                          className=\"text-sm truncate block max-w-[110px] font-medium\"\n                          title={attachment.file.name}\n                        >\n                          {attachment.file.name || t(\"chatInput.image\")}\n                        </span>\n                        <span className=\"text-xs text-gray-500\">\n                          {formatFileSize(attachment.file.size)}\n                        </span>\n                      </div>\n                    </div>\n                  ) : (\n                    <div className=\"flex items-center gap-3 w-full\">\n                      <div\n                        className=\"flex-shrink-0 transform group-hover:scale-110 transition-transform w-8 flex justify-center cursor-pointer\"\n                        onClick={() => handleViewFile(attachment.file)}\n                      >\n                        {getFileIcon(attachment.file)}\n                      </div>\n                      <div\n                        className=\"flex-1 overflow-hidden cursor-pointer\"\n                        onClick={() => handleViewFile(attachment.file)}\n                      >\n                        <span\n                          className=\"text-sm truncate block max-w-[110px] font-medium\"\n                          title={attachment.file.name}\n                        >\n                          {attachment.file.name}\n                        </span>\n                        <span className=\"text-xs text-gray-500\">\n                          {formatFileSize(attachment.file.size)}\n                        </span>\n                      </div>\n                    </div>\n                  )}\n                  <button\n                    onClick={() => handleRemoveAttachment(attachment.id)}\n                    className=\"absolute top-1 right-1 p-0.5 bg-red-500 text-white rounded-full opacity-0 group-hover:opacity-100 transition-opacity hover:bg-red-600 transform hover:scale-110 transition-transform z-10\"\n                    title={t(\"chatInput.remove\")}\n                  >\n                    <X className=\"h-2.5 w-2.5\" />\n                  </button>\n                </div>\n              </div>\n            ))}\n          </div>\n        </div>\n      </div>\n    );\n  };\n\n  // Render drag and drop overlay\n  const renderDragOverlay = () => {\n    if (!isDragging) return null;\n\n    return (\n      <div className=\"absolute inset-0 bg-blue-50 bg-opacity-90 border-2 border-dashed border-blue-500 rounded-3xl z-10 flex flex-col items-center justify-center\">\n        <div className=\"p-4 max-w-md text-center\">\n          <div className=\"flex justify-center mb-2\">\n            <div className=\"w-10 h-10 bg-blue-100 rounded-full flex items-center justify-center\">\n              <Upload className=\"h-5 w-5 text-blue-500\" />\n            </div>\n          </div>\n          <h3 className=\"text-base font-medium mb-1 text-blue-700\">\n            {t(\"chatInput.dragAndDropFilesHere\")}\n          </h3>\n          <p className=\"text-xs text-blue-600\">\n            {t(\"chatInput.supportedFileFormats\")}\n          </p>\n        </div>\n      </div>\n    );\n  };\n\n  // Render error message\n  const renderErrorMessage = () => {\n    if (!errorMessage) return null;\n\n    return (\n      <div className=\"absolute left-1/2 transform -translate-x-1/2 top-16 bg-red-100 border border-red-400 text-red-700 px-4 py-2 rounded-md flex items-center z-20 shadow-md\">\n        <AlertCircle className=\"h-4 w-4 mr-2\" />\n        <span className=\"text-sm\">{errorMessage}</span>\n      </div>\n    );\n  };\n\n  const renderInputArea = () => (\n    <>\n      {renderDragOverlay()}\n      {renderAttachments()}\n      <div\n        className=\"max-h-[300px] overflow-y-auto pt-3\"\n        style={{\n          scrollbarWidth: \"thin\",\n          scrollbarColor: \"#d1d5db transparent\",\n        }}\n      >\n        <Textarea\n          ref={textareaRef}\n          value={input}\n          onChange={(e) => onInputChange(e.target.value)}\n          onKeyDown={handleKeyDown}\n          placeholder={t(\"chatInput.sendMessageTo\", {\n            appName: appConfig.appName,\n          })}\n          className=\"px-5 pb-3 pt-0 text-xl resize-none bg-slate-100 border-0 focus:ring-0 focus:ring-offset-0 focus-visible:ring-0 focus-visible:ring-offset-0 w-full\"\n          rows={1}\n          style={{\n            minHeight: \"60px\",\n            overflow: \"auto\",\n            fontSize: \"18px\",\n          }}\n        />\n      </div>\n      <div className=\"h-12 bg-slate-100 relative\">\n        {/* Agent selector on the left */}\n        <div className=\"absolute left-5 top-[40%] -translate-y-1/2\">\n          <ChatAgentSelector\n            selectedAgentId={selectedAgentId}\n            onAgentSelect={onAgentSelect || (() => {})}\n            disabled={isLoading || isStreaming}\n            isInitialMode={isInitialMode}\n          />\n        </div>\n\n        <div className=\"absolute right-3 top-[40%] -translate-y-1/2 flex items-center space-x-1\">\n          {/* Voice to text button */}\n          <Tooltip\n            title={\n              isRecording\n                ? t(\"chatInput.stopRecording\")\n                : t(\"chatInput.startRecording\")\n            }\n          >\n            <Button\n                  type=\"default\"\n                  shape=\"circle\"\n                  size=\"middle\"\n                  className=\"h-10 w-10 text-slate-700 flex items-center justify-center rounded-full border border-slate-300 hover:bg-slate-200 transition-colors\"\n                  onClick={toggleRecording}\n                  disabled={recordingStatus === \"connecting\" || isStreaming}\n            >\n              {isRecording ? (\n                <MicOff className=\"h-5 w-5\" />\n              ) : (\n                <Mic className=\"h-5 w-5\" />\n              )}\n            </Button>\n          </Tooltip>\n\n          {/* Upload file button */}\n          <Tooltip title={t(\"chatInput.uploadFiles\")}>\n            <Button\n              type=\"default\"\n              shape=\"circle\"\n              size=\"middle\"\n              className=\"h-10 w-10 text-slate-700 flex items-center justify-center rounded-full border border-slate-300 hover:bg-slate-200 transition-colors\"\n              onClick={() =>\n                document.getElementById(\"file-upload-regular\")?.click()\n              }\n            >\n              <Paperclip className=\"h-5 w-5\" />\n              <Input\n                type=\"file\"\n                id=\"file-upload-regular\"\n                className=\"hidden\"\n                onChange={handleFileUpload}\n                accept={`image/*,${Object.values(chatConfig.fileIcons).flat().map(ext => `.${ext}`).join(',')}`}\n                multiple\n              />\n            </Button>\n          </Tooltip>\n\n          {isStreaming ? (\n            <Tooltip\n              title={t(\"chatInput.stopGenerating\")}\n              open={showStopTooltip}\n              onOpenChange={setShowStopTooltip}\n            >\n              <Button\n                onClick={onStop}\n                type=\"primary\"\n                shape=\"circle\"\n                size=\"middle\"\n                className=\"h-10 w-10 bg-red-500 hover:bg-red-600 text-white rounded-full\"\n              >\n                <Square className=\"h-5 w-5\" />\n              </Button>\n            </Tooltip>\n          ) : (\n            <Button\n              onClick={handleSend}\n              disabled={!input.trim() || isLoading || !selectedAgentId}\n              type=\"primary\"\n              shape=\"circle\"\n              size=\"middle\"\n              className={`h-10 w-10 ${\n                hasUnsupportedFiles || !selectedAgentId\n                  ? \"bg-gray-400 cursor-not-allowed\"\n                  : \"bg-blue-500 hover:bg-blue-600\"\n              } text-white rounded-full flex items-center justify-center`}\n              title={\n                hasUnsupportedFiles\n                  ? t(\"chatInput.unsupportedFileTypeSimple\")\n                  : !selectedAgentId\n                  ? t(\"agentSelector.pleaseSelectAgent\")\n                  : t(\"chatInput.send\")\n              }\n            >\n              <svg\n                width=\"14\"\n                height=\"16\"\n                viewBox=\"0 0 14 16\"\n                fill=\"none\"\n                xmlns=\"http://www.w3.org/2000/svg\"\n              >\n                <path\n                  fillRule=\"evenodd\"\n                  clipRule=\"evenodd\"\n                  d=\"M7 16c-.595 0-1.077-.462-1.077-1.032V1.032C5.923.462 6.405 0 7 0s1.077.462 1.077 1.032v13.936C8.077 15.538 7.595 16 7 16z\"\n                  fill=\"currentColor\"\n                ></path>\n                <path\n                  fillRule=\"evenodd\"\n                  clipRule=\"evenodd\"\n                  d=\"M.315 7.44a1.002 1.002 0 0 1 0-1.46L6.238.302a1.11 1.11 0 0 1 1.523 0c.421.403.421 1.057 0 1.46L1.838 7.44a1.11 1.11 0 0 1-1.523 0z\"\n                  fill=\"currentColor\"\n                ></path>\n                <path\n                  fillRule=\"evenodd\"\n                  clipRule=\"evenodd\"\n                  d=\"M13.685 7.44a1.11 1.11 0 0 1-1.523 0L6.238 1.762a1.002 1.002 0 0 1 0-1.46 1.11 1.11 0 0 1 1.523 0l5.924 5.678c.42.403.42 1.056 0 1.46z\"\n                  fill=\"currentColor\"\n                ></path>\n              </svg>\n            </Button>\n          )}\n        </div>\n      </div>\n      <div className=\"mt-1 flex items-center justify-center text-xs text-muted-foreground\">\n        <div>\n          {recordingStatus === \"recording\" ? (\n            <span className=\"text-red-500\">{t(\"chatInput.recording\")}</span>\n          ) : recordingStatus === \"error\" ? (\n            <span className=\"text-red-500\">\n              {t(\"chatInput.recordingError\")}\n            </span>\n          ) : (\n            \"\"\n          )}\n        </div>\n      </div>\n    </>\n  );\n\n  // Stop recording before sending a message\n  const handleSend = () => {\n    // Check if agent is selected\n    if (!selectedAgentId) {\n      setErrorMessage(t(\"agentSelector.pleaseSelectAgent\"));\n      setTimeout(() => setErrorMessage(null), 3000);\n      return;\n    }\n\n    if (isRecording && mediaRecorderRef.current) {\n      mediaRecorderRef.current.stop();\n      if (\n        socketRef.current &&\n        socketRef.current.readyState === WebSocket.OPEN\n      ) {\n        socketRef.current.close();\n      }\n      setIsRecording(false);\n      setRecordingStatus(\"idle\");\n    }\n    onSend();\n  };\n\n  // Check if there are any unsupported file types\n  const hasUnsupportedFiles = attachments.some((attachment) => {\n    const extension = getFileExtension(attachment.file.name);\n    const fileType = attachment.file.type;\n\n    const isImage =\n      fileType.startsWith(\"image/\") ||\n      chatConfig.imageExtensions.includes(extension);\n    const isDocument =\n      chatConfig.documentExtensions.includes(extension) ||\n      fileType === \"application/pdf\" ||\n      fileType.includes(\"officedocument\");\n    const isSupportedTextFile =\n      chatConfig.supportedTextExtensions.includes(extension) ||\n      fileType === \"text/csv\" ||\n      fileType === \"text/plain\";\n\n    return !(isImage || isDocument || isSupportedTextFile);\n  });\n\n  // Regular mode, keep the original rendering logic\n  return (\n    <>\n      {/* Image viewer */}\n      {viewingImage && (\n        <ImageViewer\n          src={viewingImage.src}\n          alt={viewingImage.alt}\n          onClose={() => setViewingImage(null)}\n        />\n      )}\n\n      {/* File viewer */}\n      {viewingFile && (\n        <FileViewer file={viewingFile} onClose={() => setViewingFile(null)} />\n      )}\n\n      {/* Error message */}\n      {renderErrorMessage()}\n\n      {/* Chat input part */}\n      {isInitialMode ? (\n        <div className=\"flex flex-col items-center justify-center h-full w-full max-w-5xl mx-auto mt-[-80px]\">\n          <div className=\"flex flex-col items-center mb-4\">\n            <div className=\"flex items-center mb-6\">\n              <div className=\"h-16 w-16 rounded-full overflow-hidden mr-4\">\n                <img\n                  src={avatarUrl}\n                  alt={appConfig.appName}\n                  className=\"h-full w-full object-cover\"\n                />\n              </div>\n              <h1\n                className=\"text-4xl font-bold bg-clip-text text-transparent\"\n                style={{\n                  backgroundImage: (() => {\n                    const colors = extractColorsFromUri(\n                      appConfig.avatarUri || \"\"\n                    );\n                    const mainColor = colors.mainColor || \"273746\";\n                    const secondaryColor = colors.secondaryColor || mainColor;\n                    return `linear-gradient(180deg, #${mainColor} 0%, #${secondaryColor} 100%)`;\n                  })(),\n                }}\n              >\n                {t(\"chatInput.helloIm\", { appName: appConfig.appName })}\n              </h1>\n            </div>\n            <p className=\"text-left text-muted-foreground max-w-2xl mx-auto leading-relaxed\">\n              {appConfig.appDescription || t(\"chatInput.introMessage\")}\n            </p>\n          </div>\n          <div\n            ref={dropAreaRef}\n            className=\"relative w-full max-w-4xl rounded-3xl shadow-sm border border-slate-200 bg-slate-100 overflow-hidden\"\n          >\n            {renderInputArea()}\n          </div>\n        </div>\n      ) : (\n        <div className=\"border-t-0 border-transparent bg-background bg-white\">\n          <div className=\"max-w-3xl mx-auto\">\n            <div\n              ref={dropAreaRef}\n              className=\"relative rounded-3xl shadow-sm border border-slate-200 bg-slate-100 overflow-hidden\"\n            >\n              {renderInputArea()}\n            </div>\n          </div>\n        </div>\n      )}\n      {/* Footer */}\n      <div className=\"flex-shrink-0 mt-auto\">\n        <div\n          className=\"text-center text-sm py-1\"\n          style={{\n            color: \"rgb(163, 163, 163)\",\n            position: \"sticky\",\n            bottom: 0,\n            backgroundColor: \"white\",\n            width: \"100%\",\n          }}\n        >\n          {t(\"chatInterface.aiGeneratedContentWarning\")}\n        </div>\n      </div>\n    </>\n  );\n}\n"
  },
  {
    "path": "frontend/app/[locale]/chat/components/chatLeftSidebar.tsx",
    "content": "import { useState } from \"react\";\nimport {\n  Clock,\n  Plus,\n  Pencil,\n  Trash2,\n  MoreHorizontal,\n  ChevronLeft,\n  ChevronRight,\n} from \"lucide-react\";\n\nimport { Button, Dropdown, Input, Layout, Tooltip, message } from \"antd\";\nimport { useTranslation } from \"react-i18next\";\nimport { useConfirmModal } from \"@/hooks/useConfirmModal\";\nimport { conversationService } from \"@/services/conversationService\";\nimport {\n  type ConversationManagement,\n} from \"@/hooks/chat/useConversationManagement\";\nimport { ConversationListItem, SettingsMenuItem } from \"@/types/chat\";\nimport log from \"@/lib/logger\";\n\n// conversation status indicator component\nconst ConversationStatusIndicator = ({\n  isStreaming,\n  isCompleted,\n}: {\n  isStreaming: boolean;\n  isCompleted: boolean;\n}) => {\n  const { t } = useTranslation();\n\n  if (isStreaming) {\n    return (\n      <div\n        className=\"flex-shrink-0 w-2 h-2 bg-green-500 rounded-full mr-2 animate-pulse\"\n        title={t(\"chatLeftSidebar.running\")}\n      />\n    );\n  }\n\n  if (isCompleted) {\n    return (\n      <div\n        className=\"flex-shrink-0 w-2 h-2 bg-blue-500 rounded-full mr-2\"\n        title={t(\"chatLeftSidebar.completed\")}\n      />\n    );\n  }\n\n  return null;\n};\n\n// Helper function - dialog classification\nconst categorizeConversations = (conversations: ConversationListItem[]) => {\n  const now = new Date();\n  const today = new Date(\n    now.getFullYear(),\n    now.getMonth(),\n    now.getDate()\n  ).getTime();\n  const weekAgo = today - 7 * 24 * 60 * 60 * 1000;\n\n  const todayConversations: ConversationListItem[] = [];\n  const weekConversations: ConversationListItem[] = [];\n  const olderConversations: ConversationListItem[] = [];\n\n  conversations.forEach((conversations) => {\n    const conversationTime = conversations.create_time;\n\n    if (conversationTime >= today) {\n      todayConversations.push(conversations);\n    } else if (conversationTime >= weekAgo) {\n      weekConversations.push(conversations);\n    } else {\n      olderConversations.push(conversations);\n    }\n  });\n\n  return {\n    today: todayConversations,\n    week: weekConversations,\n    older: olderConversations,\n  };\n};\n\n// Chat sidebar props type\nexport interface ChatSidebarProps {\n  streamingConversations: Set<number>;\n  completedConversations: Set<number>;\n  conversationManagement: ConversationManagement;\n  /** Called when user clicks a conversation - loads messages and updates selection */\n  onConversationSelect: (conversation: ConversationListItem) => void | Promise<void>;\n}\n\nconst CONVERSATION_TITLE_MAX_LENGTH = 100;\n\nexport function ChatSidebar({\n  streamingConversations,\n  completedConversations,\n  conversationManagement,\n  onConversationSelect,\n}: ChatSidebarProps) {\n  const { t } = useTranslation();\n  const { confirm } = useConfirmModal();\n  const { today, week, older } = categorizeConversations(conversationManagement.conversationList);\n  const [editingId, setEditingId] = useState<number | null>(null);\n  const [renameValue, setRenameValue] = useState(\"\");\n  const [renameError, setRenameError] = useState<string | null>(null);\n  const [collapsed, setCollapsed] = useState(false);\n  const [openDropdownId, setOpenDropdownId] = useState<number | null>(null);\n\n  const onToggleSidebar = () => setCollapsed((prev) => !prev);\n\n  const handleRenameClick = (conversationId: number, currentTitle: string) => {\n    setEditingId(conversationId);\n    setRenameValue(currentTitle);\n    setRenameError(null);\n    setOpenDropdownId(null);\n  };\n\n  const validateRenameTitle = (title: string): string | null => {\n    const trimmedTitle = title.trim();\n    if (!trimmedTitle) {\n      return t(\"chatLeftSidebar.renameErrorEmpty\");\n    }\n    if (trimmedTitle.length > CONVERSATION_TITLE_MAX_LENGTH) {\n      return t(\"chatLeftSidebar.renameErrorTooLong\", {\n        max: CONVERSATION_TITLE_MAX_LENGTH,\n      });\n    }\n    return null;\n  };\n\n  const handleRename = async (conversationId: number, newTitle: string) => {\n    const trimmedTitle = newTitle.trim();\n    if (!trimmedTitle) return false;\n    try {\n      await conversationService.rename(conversationId, trimmedTitle);\n      await conversationManagement.fetchConversationList();\n      if (conversationManagement.selectedConversationId === conversationId) {\n        conversationManagement.setConversationTitle(trimmedTitle);\n      }\n      setEditingId(null);\n      setRenameError(null);\n      return true;\n    } catch (error) {\n      log.error(t(\"chatInterface.renameFailed\"), error);\n      setRenameError(t(\"chatLeftSidebar.renameErrorSubmitFailed\"));\n      message.error(t(\"chatLeftSidebar.renameErrorSubmitFailed\"));\n      return false;\n    }\n  };\n\n  const handleRenameSubmit = async (conversationId: number) => {\n    const validationError = validateRenameTitle(renameValue);\n    if (validationError) {\n      setRenameError(validationError);\n      message.warning(validationError);\n      return;\n    }\n\n    const success = await handleRename(conversationId, renameValue);\n    if (success) {\n      setRenameValue(\"\");\n    }\n  };\n\n  const handleRenameCancel = () => {\n    setEditingId(null);\n    setRenameValue(\"\");\n    setRenameError(null);\n  };\n\n  // Handle delete\n  const handleDelete = (conversationId: number) => {\n\n    confirm({\n      title: t(\"chatLeftSidebar.confirmDeletionTitle\"),\n      content: t(\"chatLeftSidebar.confirmDeletionDescription\"),\n      onOk: async () => {\n        try {\n          await conversationService.delete(conversationId);\n          await conversationManagement.fetchConversationList();\n          if (conversationManagement.selectedConversationId === conversationId) {\n            conversationManagement.setSelectedConversationId(null);\n            conversationManagement.setConversationTitle(\n              t(\"chatInterface.newConversation\")\n            );\n            conversationManagement.handleNewConversation();\n          }\n        } catch (error) {\n          log.error(t(\"chatInterface.deleteFailed\"), error);\n        }\n      },\n    });\n  };\n\n  // Render dialog list items\n  const renderConversationList = (conversation: ConversationListItem[], title: string) => {\n    if (conversation.length === 0) return null;\n\n    return (\n      <div className=\"space-y-1 h-full w-full\">\n        <p\n          className=\"flex items-center gap-1.5 px-3 py-1.5 text-s font-medium tracking-wide text-neutral-500 rounded-r whitespace-nowrap\"\n        >\n          {title}\n        </p>\n        {conversation.map((conversation) => {\n          const isEditing = editingId === conversation.conversation_id;\n          return (\n            <div\n              key={conversation.conversation_id}\n              className={`flex items-center group rounded-md ${\n                conversationManagement.selectedConversationId ===\n                conversation.conversation_id\n                  ? \"bg-blue-100\"\n                  : \"hover:bg-slate-100\"\n              }`}\n            >\n            <div className=\"flex-1 min-w-0 overflow-hidden\">\n              <Tooltip\n                title={!isEditing ? (\n                  <span className=\"break-words max-w-[300px] block\">\n                    {conversation.conversation_title}\n                  </span>\n                ) : null}\n                placement=\"bottom\"\n              >\n                <div\n                  className=\"flex items-center min-h-10 min-w-0 w-full px-3 py-1 cursor-pointer\"\n                  onClick={() => {\n                    if (!isEditing) {\n                      onConversationSelect(conversation);\n                    }\n                  }}\n                >\n                  <ConversationStatusIndicator\n                    isStreaming={streamingConversations.has(\n                      conversation.conversation_id\n                    )}\n                    isCompleted={completedConversations.has(\n                      conversation.conversation_id\n                    )}\n                  />\n                  <div className=\"chat-sidebar-editable-title flex items-center self-stretch flex-1 min-w-0 overflow-hidden\">\n                    {isEditing ? (\n                      <Input\n                        autoFocus\n                        size=\"small\"\n                        value={renameValue}\n                        status={renameError ? \"error\" : \"\"}\n                        onChange={(event) => {\n                          const nextValue = event.target.value;\n                          setRenameValue(nextValue);\n                          setRenameError(validateRenameTitle(nextValue));\n                        }}\n                        onPressEnter={() => handleRenameSubmit(conversation.conversation_id)}\n                        onBlur={() => handleRenameSubmit(conversation.conversation_id)}\n                        onKeyDown={(event) => {\n                          if (event.key === \"Escape\") {\n                            event.preventDefault();\n                            handleRenameCancel();\n                          }\n                        }}\n                        onClick={(event) => event.stopPropagation()}\n                        className=\"ml-0.5 flex-1 min-w-0 !h-8 !leading-8 !py-0 !text-base whitespace-nowrap\"\n                      />\n                    ) : (\n                      <span className=\"chat-sidebar-title-fade block whitespace-nowrap text-base font-normal text-gray-800 tracking-wide font-sans ml-0.5 flex-1 min-w-0 overflow-hidden [text-overflow:clip]\">\n                        {conversation.conversation_title}\n                      </span>\n                    )}\n                </div>\n              </div>\n            </Tooltip>\n            </div>\n\n            <div\n              className={`shrink-0 overflow-hidden flex items-center justify-center transition-opacity duration-150 ${\n                openDropdownId === conversation.conversation_id\n                  ? \"w-9 opacity-100\"\n                  : \"w-0 opacity-0 group-hover:w-9 group-hover:opacity-100\"\n              }`}\n            >\n              <Dropdown\n              onOpenChange={(open) => setOpenDropdownId(open ? conversation.conversation_id : null)}\n              menu={{\n                items: [\n                  {\n                    key: \"rename\",\n                    label: (\n                      <span className=\"flex items-center\">\n                        <Pencil className=\"mr-2 h-5 w-5\" />\n                        {t(\"chatLeftSidebar.rename\")}\n                      </span>\n                    ),\n                  },\n                  {\n                    key: \"delete\",\n                    label: (\n                      <span className=\"flex items-center text-red-500\">\n                        <Trash2 className=\"mr-2 h-5 w-5\" />\n                        {t(\"chatLeftSidebar.delete\")}\n                      </span>\n                    ),\n                  },\n                ],\n                onClick: ({ key }) => {\n                  if (key === \"rename\") {\n                    handleRenameClick(\n                      conversation.conversation_id,\n                      conversation.conversation_title\n                    );\n                  } else if (key === \"delete\") {\n                    handleDelete(conversation.conversation_id);\n                  }\n                },\n              }}\n              placement=\"bottomRight\"\n              trigger={[\"click\"]}\n            >\n              <Button\n                type=\"text\"\n                size=\"small\"\n                className=\"hover:!bg-transparent text-neutral-500\"\n              >\n                <MoreHorizontal className=\"h-4 w-4\" />\n              </Button>\n            </Dropdown>\n            </div>\n            </div>\n          );\n        })}\n      </div>\n    );\n  };\n\n  // Render collapsed state sidebar\n  const renderCollapsedSidebar = () => {\n    return (\n      <>\n        {/* Expand/Collapse button */}\n        <div className=\"py-3 flex justify-center\">\n          <Tooltip title={t(\"chatLeftSidebar.expandSidebar\")} placement=\"right\">\n            <Button\n              type=\"text\"\n              size=\"middle\"\n              className=\"h-10 w-10 min-w-[40px] p-0 flex-shrink-0 hover:bg-slate-100 active:bg-slate-200 flex items-center justify-center rounded-full transition-colors duration-200\"\n              onClick={onToggleSidebar}\n            >\n              <ChevronRight className=\"h-5 w-5\" />\n            </Button>\n          </Tooltip>\n        </div>\n\n        {/* New conversation button */}\n        <div className=\"py-1 flex justify-center\">\n          <Tooltip title={t(\"chatLeftSidebar.newConversation\")} placement=\"right\">\n            <Button\n              type=\"text\"\n              size=\"middle\"\n              className=\"h-10 w-10 min-w-[40px] p-0 flex-shrink-0 hover:bg-slate-100 active:bg-slate-200 flex items-center justify-center rounded-full transition-colors duration-200\"\n              onClick={conversationManagement.handleNewConversation}\n            >\n              <Plus className=\"h-5 w-5\" />\n            </Button>\n          </Tooltip>\n        </div>\n\n        {/* Spacer */}\n        <div className=\"flex-1\" />\n      </>\n    );\n  };\n\n  return (\n    <Layout.Sider\n      collapsible\n      collapsed={collapsed}\n      onCollapse={setCollapsed}\n      breakpoint=\"lg\"\n      width={260}\n      collapsedWidth={40}\n      trigger={null}\n      theme=\"light\"\n      className=\"border-r border-transparent !bg-[rgb(242,248,255)] w-full\"\n    >\n      {!collapsed ? (\n        <div className=\"flex flex-col h-full w-full overflow-hidden space-between\">\n            <div className=\"m-4 mt-3\">\n              <div className=\"flex items-center gap-2\">\n                <Button\n                  type=\"default\"\n                  size=\"middle\"\n                  className=\"flex-1 justify-start text-base overflow-hidden h-10 border border-slate-300 hover:border-slate-400 hover:bg-white transition-colors duration-200\"\n                  onClick={conversationManagement.handleNewConversation}\n                >\n                  <Plus\n                    className=\"mr-2 flex-shrink-0\"\n                    style={{ height: \"20px\", width: \"20px\" }}\n                  />\n                  <span className=\"truncate\">\n                    {t(\"chatLeftSidebar.newConversation\")}\n                  </span>\n                </Button>\n                <Tooltip title={t(\"chatLeftSidebar.collapseSidebar\")}>\n                  <Button\n                    type=\"text\"\n                    size=\"middle\"\n                    className=\"h-10 w-10 min-w-[40px] p-0 flex-shrink-0 hover:bg-slate-100 active:bg-slate-200 flex items-center justify-center rounded-full transition-colors duration-200\"\n                    onClick={onToggleSidebar}\n                  >\n                    <ChevronLeft className=\"h-5 w-5\" />\n                  </Button>\n                </Tooltip>\n              </div>\n            </div>\n\n            <div className=\"flex-1 min-h-0 p-3 pt-0 w-full flex flex-col overflow-hidden\">\n              <div className=\"flex-1 min-h-0 flex flex-col overflow-y-auto\">\n                <div className=\"flex flex-col gap-4 pb-4\">\n                  {conversationManagement.conversationList.length > 0 ? \n                  (\n                    <>\n                      {renderConversationList(today, t(\"chatLeftSidebar.today\"))}\n                      {renderConversationList(week, t(\"chatLeftSidebar.last7Days\"))}\n                      {renderConversationList(older, t(\"chatLeftSidebar.older\"))}\n                    </>\n                  ) : (\n                    <div className=\"space-y-1\">\n                      <p className=\"px-2 text-sm font-medium text-muted-foreground\">\n                        {t(\"chatLeftSidebar.recentConversations\")}\n                      </p>\n                      <Button\n                        type=\"text\"\n                        size=\"middle\"\n                        className=\"w-full justify-start flex items-center px-3 py-2 h-auto hover:bg-slate-50 transition-colors duration-200\"\n                      >\n                        <Clock className=\"mr-2 h-5 w-5\" />\n                        {t(\"chatLeftSidebar.noHistory\")}\n                      </Button>\n                    </div>\n                  )}\n                </div>\n              </div>\n            </div>\n          </div>\n        ) : (\n          renderCollapsedSidebar()\n        )}\n      <style jsx global>{`\n        .chat-sidebar-title-fade {\n          -webkit-mask-image: linear-gradient(\n            to right,\n            #000 0%,\n            #000 88%,\n            transparent 100%\n          );\n          mask-image: linear-gradient(\n            to right,\n            #000 0%,\n            #000 88%,\n            transparent 100%\n          );\n        }\n\n        .group:hover .chat-sidebar-title-fade {\n          -webkit-mask-image: linear-gradient(\n            to right,\n            #000 0%,\n            #000 76%,\n            transparent 100%\n          );\n          mask-image: linear-gradient(\n            to right,\n            #000 0%,\n            #000 76%,\n            transparent 100%\n          );\n        }\n      `}</style>\n    </Layout.Sider>\n  );\n}\n"
  },
  {
    "path": "frontend/app/[locale]/chat/components/chatRightPanel.tsx",
    "content": "import { useState, useEffect, useRef, useCallback } from \"react\";\nimport { useTranslation } from \"react-i18next\";\nimport { ExternalLink, Database, X, Server } from \"lucide-react\";\n\nimport { ImageItem, ChatRightPanelProps, SearchResult } from \"@/types/chat\";\nimport { formatDate, formatUrl } from \"@/lib/utils\";\nimport { convertImageUrlToApiUrl, extractObjectNameFromUrl, storageService } from \"@/services/storageService\";\nimport { message, Button } from \"antd\";\nimport log from \"@/lib/logger\";\nimport { useConfig } from \"@/hooks/useConfig\";\n\n\nexport function ChatRightPanel({\n  messages,\n  onImageError,\n  maxInitialImages = 4,\n  isVisible = false,\n  toggleRightPanel,\n  selectedMessageId,\n}: ChatRightPanelProps) {\n  const { t } = useTranslation(\"common\");\n  const { appConfig } = useConfig();\n  const [expandedImages, setExpandedImages] = useState(false);\n  const [searchResults, setSearchResults] = useState<SearchResult[]>([]);\n  const [processedImages, setProcessedImages] = useState<string[]>([]);\n  const [viewingImage, setViewingImage] = useState<string | null>(null);\n  const [imageData, setImageData] = useState<Record<string, ImageItem>>({});\n  const [activeTab, setActiveTab] = useState<string>(\"sources\");\n\n  // Reference to prevent duplicate loading\n  const loadingImages = useRef<Set<string>>(new Set());\n\n  // Get the currently selected message\n  const currentMessage = messages.find((msg) => msg.id === selectedMessageId);\n\n  // Handle image load failure\n  const handleImageLoadFail = useCallback(\n    (imageUrl: string) => {\n      // Mark image load failure\n      setImageData((prev) => ({\n        ...prev,\n        [imageUrl]: {\n          ...(prev[imageUrl] || {}),\n          error: t(\"chatRightPanel.imageLoadFailed\"),\n          isLoading: false,\n        },\n      }));\n\n      // Remove from the processed image list\n      setProcessedImages((prev) => prev.filter((url) => url !== imageUrl));\n\n      // Call the error handling function\n      onImageError(imageUrl);\n    },\n    [onImageError]\n  );\n\n  // Load image\n  const loadImage = async (imageUrl: string) => {\n    // If it is already in the cache and is not loading, return directly\n    if (imageData[imageUrl] && !imageData[imageUrl].isLoading) {\n      return Promise.resolve();\n    }\n\n    // If it is loading, prevent duplicate requests\n    if (loadingImages.current.has(imageUrl)) {\n      return Promise.resolve();\n    }\n\n    // Mark as loading\n    loadingImages.current.add(imageUrl);\n\n    // Get the current load attempts\n    const currentAttempts = imageData[imageUrl]?.loadAttempts || 0;\n\n    // If the number of attempts is too high, do not continue to try\n    if (currentAttempts >= 3) {\n      handleImageLoadFail(imageUrl);\n      loadingImages.current.delete(imageUrl);\n      return Promise.resolve();\n    }\n\n    // Mark as loading\n    setImageData((prev) => ({\n      ...prev,\n      [imageUrl]: {\n        base64Data: \"\",\n        contentType: \"image/jpeg\",\n        isLoading: true,\n        loadAttempts: currentAttempts + 1,\n      },\n    }));\n\n    try {\n      // Convert image URL to backend API URL\n      const apiUrl = convertImageUrlToApiUrl(imageUrl);\n\n      // Use backend API to get the image\n      const response = await fetch(apiUrl);\n\n      if (!response.ok) {\n        throw new Error(`Failed to load image: ${response.statusText}`);\n      }\n\n      // Get image as blob and convert to base64\n      const blob = await response.blob();\n      const reader = new FileReader();\n\n      reader.onloadend = () => {\n        const base64Data = reader.result as string;\n        // Remove data URL prefix (e.g., \"data:image/png;base64,\")\n        const base64 = base64Data.split(',')[1] || base64Data;\n\n        setImageData((prev) => ({\n          ...prev,\n          [imageUrl]: {\n            base64Data: base64,\n            contentType: blob.type || \"image/jpeg\",\n            isLoading: false,\n            loadAttempts: currentAttempts + 1,\n          },\n        }));\n        loadingImages.current.delete(imageUrl);\n      };\n\n      reader.onerror = () => {\n        log.error(\"Failed to read image blob\");\n        handleImageLoadFail(imageUrl);\n        loadingImages.current.delete(imageUrl);\n      };\n\n      reader.readAsDataURL(blob);\n    } catch (error) {\n      log.error(t(\"chatRightPanel.imageProxyError\"), error);\n      // If loading fails, remove it directly from the list\n      handleImageLoadFail(imageUrl);\n      loadingImages.current.delete(imageUrl);\n    }\n\n    return Promise.resolve();\n  };\n\n  // Listen for message changes, update search results and images\n  useEffect(() => {\n    // Process search results\n    if (\n      currentMessage?.searchResults &&\n      Array.isArray(currentMessage.searchResults)\n    ) {\n      try {\n        const results = currentMessage.searchResults.map((result, index) => {\n          const processed = {\n            title: result.title || t(\"chatRightPanel.unknownTitle\"),\n            url: result.url || \"#\",\n            text: result.text || t(\"chatRightPanel.noContentDescription\"),\n            published_date: result.published_date || \"\",\n            source_type: result.source_type || \"url\",\n            filename: result.filename || \"\",\n            score: typeof result.score === \"number\" ? result.score : undefined,\n            score_details: result.score_details || {},\n            isExpanded: false,\n          };\n\n          return processed;\n        });\n\n        setSearchResults(results);\n      } catch (error) {\n        log.error(t(\"chatRightPanel.processSearchResultsError\"), error);\n        setSearchResults([]);\n      }\n    } else {\n      setSearchResults([]);\n    }\n\n    // Process images\n    if (currentMessage?.images && Array.isArray(currentMessage.images)) {\n      // Get and remove duplicates\n      const allImages = currentMessage.images;\n\n      // Filter out images that have been marked as failed to load\n      const validImages = allImages.filter((imageUrl) => {\n        return !(imageData[imageUrl] && imageData[imageUrl].error);\n      });\n\n      setProcessedImages(validImages);\n\n      // Preload images, but only load images that are not loaded yet\n      const loadPromises = validImages.map((imageUrl) => {\n        if (\n          !imageData[imageUrl] ||\n          (imageData[imageUrl].error === undefined &&\n            !imageData[imageUrl].isLoading)\n        ) {\n          return loadImage(imageUrl);\n        }\n        return Promise.resolve();\n      });\n\n      // Load all images in parallel\n      Promise.all(loadPromises).catch((error) => {\n        log.error(t(\"chatRightPanel.parallelLoadImagesError\"), error);\n      });\n    } else {\n      setProcessedImages([]);\n    }\n  }, [\n    currentMessage?.searchResults,\n    currentMessage?.images,\n    selectedMessageId,\n  ]);\n\n  // Handle image click\n  const handleImageClick = (imageUrl: string) => {\n    setViewingImage(imageUrl);\n  };\n\n  // Search result item component\n  const SearchResultItem = ({ result }: { result: SearchResult }) => {\n    const [isExpanded, setIsExpanded] = useState(false);\n    const [isDownloading, setIsDownloading] = useState(false);\n    const title = result.title || t(\"chatRightPanel.unknownTitle\");\n    const url = result.url || \"#\";\n    const text = result.text || t(\"chatRightPanel.noContentDescription\");\n    const published_date = result.published_date || \"\";\n    const source_type = result.source_type || \"url\";\n    const filename = result.filename || result.title || \"\";\n    const datamateDatasetId = result.score_details?.datamate_dataset_id;\n    const datamateFileId = result.score_details?.datamate_file_id;\n    const datamateBaseUrl = result.score_details?.datamate_base_url;\n\n    // Handle file download\n    const handleFileDownload = async (e: React.MouseEvent) => {\n      e.preventDefault();\n      e.stopPropagation();\n\n      if (!filename && !url) {\n        message.error(t(\"chatRightPanel.fileDownloadError\", \"File name or URL is missing\"));\n        return;\n      }\n\n      setIsDownloading(true);\n      try {\n        // Handle datamate source type\n        if (source_type === \"datamate\") {\n          if (!appConfig?.modelEngineEnabled) {\n            message.error(\"DataMate download not available: ModelEngine is not enabled\");\n            return;\n          }\n          if (!datamateDatasetId || !datamateFileId || !datamateBaseUrl) {\n            if (!url || url === \"#\") {\n              message.error(t(\"chatRightPanel.fileDownloadError\", \"Missing Datamate dataset or file information\"));\n              return;\n            }\n          }\n          await storageService.downloadDatamateFile({\n            url: url !== \"#\" ? url : undefined,\n            baseUrl: datamateBaseUrl,\n            datasetId: datamateDatasetId,\n            fileId: datamateFileId,\n            filename: filename || undefined,\n          });\n          message.success(t(\"chatRightPanel.fileDownloadSuccess\", \"File download started\"));\n          return;\n        }\n\n        // Handle regular file source type (source_type === \"file\")\n        // For knowledge base files, backend stores the MinIO object_name in path_or_url,\n        // so we should always try to extract it from the URL and avoid guessing from filename.\n        let objectName: string | undefined = undefined;\n\n        if (url && url !== \"#\") {\n          objectName = extractObjectNameFromUrl(url) || undefined;\n        }\n\n        if (!objectName) {\n          message.error(t(\"chatRightPanel.fileDownloadError\", \"Cannot determine file object name\"));\n          return;\n        }\n\n        await storageService.downloadFile(objectName, filename || \"download\");\n        message.success(t(\"chatRightPanel.fileDownloadSuccess\", \"File download started\"));\n      } catch (error) {\n        log.error(\"Failed to download file:\", error);\n        message.error(t(\"chatRightPanel.fileDownloadError\", \"Failed to download file. Please try again.\"));\n      } finally {\n        setIsDownloading(false);\n      }\n    };\n\n    return (\n      <div className=\"p-3 rounded-lg border border-gray-200 text-xs hover:bg-gray-50 transition-colors overflow-hidden\">\n        <div className=\"flex flex-col\">\n          <div>\n            {source_type === \"url\" ? (\n              <a\n                href={url}\n                target=\"_blank\"\n                rel=\"noopener noreferrer\"\n                className=\"font-medium text-blue-600 hover:underline block text-base\"\n                style={{\n                  display: \"-webkit-box\",\n                  WebkitLineClamp: 2,\n                  WebkitBoxOrient: \"vertical\",\n                  overflow: \"hidden\",\n                  wordBreak: \"break-word\",\n                }}\n                title={title}\n              >\n                {title}\n              </a>\n            ) : source_type === \"file\" || source_type === \"datamate\" ? (\n              <a\n                href=\"#\"\n                onClick={handleFileDownload}\n                className=\"font-medium text-blue-600 hover:underline block text-base cursor-pointer\"\n                style={{\n                  display: \"-webkit-box\",\n                  WebkitLineClamp: 2,\n                  WebkitBoxOrient: \"vertical\",\n                  overflow: \"hidden\",\n                  wordBreak: \"break-word\",\n                }}\n                title={title}\n              >\n                {isDownloading ? (\n                  <span className=\"inline-flex items-center gap-1\">\n                    <span className=\"animate-spin\">⏳</span>\n                    {t(\"chatRightPanel.downloading\", \"Downloading...\")}\n                  </span>\n                ) : (\n                  title\n                )}\n              </a>\n            ) : (\n              <div\n                className=\"font-medium text-base\"\n                style={{\n                  display: \"-webkit-box\",\n                  WebkitLineClamp: 2,\n                  WebkitBoxOrient: \"vertical\",\n                  overflow: \"hidden\",\n                  wordBreak: \"break-word\",\n                }}\n                title={title}\n              >\n                {title}\n              </div>\n            )}\n\n            {published_date && (\n              <div className=\"text-gray-500 mt-1 text-sm\">\n                {formatDate(published_date)}\n              </div>\n            )}\n          </div>\n\n          <div>\n            <p\n              className={`text-gray-700 mt-1 text-sm ${\n                isExpanded ? \"\" : \"line-clamp-3\"\n              }`}\n            >\n              {text}\n            </p>\n          </div>\n\n          <div className=\"mt-2 text-sm flex justify-between items-center\">\n            <div\n              className=\"flex flex-col overflow-hidden\"\n              style={{ flex: 1, minWidth: 0 }}\n            >\n              {source_type === \"file\" || source_type === \"datamate\" ? (\n                <>\n                  <div className=\"flex items-center min-w-0\">\n                    <div className=\"w-3 h-3 flex-shrink-0 mr-1\">\n                      <Database className=\"w-full h-full\" />\n                    </div>\n                    <a\n                      href=\"#\"\n                      onClick={handleFileDownload}\n                      className=\"text-blue-600 hover:underline truncate cursor-pointer\"\n                      style={{\n                        maxWidth: \"75%\",\n                        display: \"inline-block\",\n                      }}\n                      title={formatUrl(result)}\n                    >\n                      {filename || formatUrl(result)}\n                    </a>\n                  </div>\n                  <div className=\"flex items-center mt-0.5 min-w-0\">\n                    <div className=\"w-3 h-3 flex-shrink-0 mr-1\">\n                      <Server className=\"w-full h-full\" />\n                    </div>\n                    <div className=\"text-xs text-gray-500\">\n                      {source_type === \"datamate\"\n                        ? t(\"chatRightPanel.source.datamate\", \"Source: Datamate\")\n                        : source_type === \"file\"\n                        ? t(\"chatRightPanel.source.nexent\", \"Source: Nexent\")\n                        : \"\"}\n                    </div>\n                  </div>\n                </>\n              ) : (\n                <div className=\"flex items-center min-w-0\">\n                  <div className=\"w-3 h-3 flex-shrink-0 mr-1\">\n                    <ExternalLink className=\"w-full h-full\" />\n                  </div>\n                  <span\n                    className=\"text-gray-500 truncate\"\n                    style={{\n                      maxWidth: \"75%\",\n                      display: \"inline-block\",\n                    }}\n                    title={formatUrl(result)}\n                  >\n                    {formatUrl(result)}\n                  </span>\n                </div>\n              )}\n            </div>\n\n            {text.length > 150 && (\n              <button\n                onClick={() => setIsExpanded(!isExpanded)}\n                className=\"text-sm text-gray-500 hover:text-gray-700 flex-shrink-0 ml-2 transition-colors\"\n              >\n                {isExpanded\n                  ? t(\"chatRightPanel.collapse\")\n                  : t(\"chatRightPanel.expand\")}\n              </button>\n            )}\n          </div>\n        </div>\n      </div>\n    );\n  };\n\n  // Render image component\n  const renderImage = (imageUrl: string, index: number) => {\n    const item = imageData[imageUrl];\n\n    // If the image is loading\n    if (!item || item.isLoading) {\n      return (\n        <div className=\"flex items-center justify-center w-full h-32 bg-gray-100\">\n          <div className=\"animate-spin rounded-full h-8 w-8 border-t-2 border-b-2 border-blue-500\"></div>\n        </div>\n      );\n    }\n\n    // If the image loading fails, we should not display it, but since it has been filtered out earlier, this is just for safety\n    if (item.error || !item.base64Data) {\n      return null;\n    }\n\n    // Return base64 image\n    return (\n      <img\n        src={`data:${item.contentType};base64,${item.base64Data}`}\n        alt={t(\"chatRightPanel.imageAlt\", { index: index + 1 })}\n        className=\"w-full h-32 object-cover\"\n        onError={(e) => {\n          // Mark the image as failed to load and remove it from the list\n          handleImageLoadFail(imageUrl);\n        }}\n      />\n    );\n  };\n\n  return (\n    <div\n      className={`transition-all duration-300 ease-in-out ${\n        isVisible ? \"lg:flex w-[400px]\" : \"lg:flex w-0 opacity-0\"\n      } hidden border-l bg-background relative flex-col h-full bg-white`}\n      style={{ maxWidth: \"400px\", overflow: \"hidden\" }}\n    >\n      {/* Image viewer modal */}\n      {viewingImage && (\n        <div\n          className=\"fixed inset-0 z-[1000] flex items-center justify-center bg-black/80\"\n          onClick={() => setViewingImage(null)}\n        >\n          <div className=\"relative max-w-[90vw] max-h-[90vh]\">\n            <Button\n              type=\"text\"\n              size=\"middle\"\n              className=\"absolute top-2 right-2 z-50 rounded-full bg-black/50 text-white hover:bg-black/70 h-8 w-8 p-0\"\n              onClick={(e: React.MouseEvent) => {\n                e.stopPropagation();\n                setViewingImage(null);\n              }}\n            >\n              <X className=\"h-5 w-5\" />\n            </Button>\n            {viewingImage &&\n            imageData[viewingImage] &&\n            !imageData[viewingImage].isLoading &&\n            imageData[viewingImage].base64Data ? (\n              <img\n                src={`data:${imageData[viewingImage].contentType};base64,${imageData[viewingImage].base64Data}`}\n                alt={t(\"chatRightPanel.viewLargerImageAlt\")}\n                className=\"max-w-full max-h-[90vh] object-contain\"\n                onClick={(e: React.MouseEvent) => e.stopPropagation()}\n              />\n            ) : (\n              <div className=\"flex items-center justify-center bg-black p-10\">\n                <div className=\"animate-spin rounded-full h-12 w-12 border-t-2 border-b-2 border-white\"></div>\n              </div>\n            )}\n          </div>\n        </div>\n      )}\n\n      <div\n        className=\"flex-none sticky top-0 z-20 flex items-center justify-between border-b p-2 bg-gray-50\"\n        style={{ maxWidth: \"400px\", overflow: \"hidden\" }}\n      >\n        <div className=\"flex items-center space-x-1\">\n          <h3 className=\"text-sm font-semibold text-gray-800 pl-2\">\n            {t(\"chatRightPanel.searchTitle\")}\n          </h3>\n        </div>\n\n        {toggleRightPanel && (\n          <Button\n            type=\"text\"\n            size=\"small\"\n            className=\"p-0 h-7 w-7 min-w-[28px] rounded hover:bg-gray-200 active:bg-gray-300 flex items-center justify-center transition-colors duration-200\"\n            onClick={toggleRightPanel}\n            title={t(\"chatRightPanel.closeSidebarTitle\")}\n          >\n            <X className=\"h-4 w-4\" />\n          </Button>\n        )}\n      </div>\n\n      <div className=\"flex-1 flex flex-col\" style={{ maxWidth: \"400px\", height: \"100%\" }}>\n        {/* Tab Headers */}\n        <div className=\"flex border-b bg-gray-50\">\n          <Button\n            type={activeTab === \"sources\" ? \"primary\" : \"text\"}\n            className={`flex-1 px-3 py-2 text-sm font-medium transition-colors rounded-none border-none ${\n              activeTab === \"sources\"\n                ? \"bg-white text-gray-900 border-b-2 border-blue-500\"\n                : \"text-gray-500 hover:text-gray-700 hover:bg-gray-100\"\n            }`}\n            onClick={() => setActiveTab(\"sources\")}\n          >\n            <span className=\"flex items-center justify-center\">\n              {t(\"chatRightPanel.sources\")}\n              {searchResults.length > 0 && (\n                <span className=\"ml-1 bg-gray-200 inline-flex items-center justify-center rounded px-1 text-xs font-medium min-w-[20px] h-[18px]\">\n                  {searchResults.length}\n                </span>\n              )}\n            </span>\n          </Button>\n          <Button\n            type={activeTab === \"images\" ? \"primary\" : \"text\"}\n            className={`flex-1 px-3 py-2 text-sm font-medium transition-colors rounded-none border-none ${\n              activeTab === \"images\"\n                ? \"bg-white text-gray-900 border-b-2 border-blue-500\"\n                : \"text-gray-500 hover:text-gray-700 hover:bg-gray-100\"\n            }`}\n            onClick={() => setActiveTab(\"images\")}\n          >\n            <span className=\"flex items-center justify-center\">\n              {t(\"chatRightPanel.images\")}\n              {processedImages.length > 0 && (\n                <span className=\"ml-1 bg-gray-200 inline-flex items-center justify-center rounded px-1 text-xs font-medium min-w-[20px] h-[18px]\">\n                  {processedImages.length}\n                </span>\n              )}\n            </span>\n          </Button>\n        </div>\n\n        {/* Tab Content */}\n        <div className=\"flex-1 overflow-y-auto\">\n          {activeTab === \"sources\" && (\n            <div className=\"p-4\" style={{ maxWidth: \"400px\" }}>\n              <div className=\"space-y-2\" style={{ maxWidth: \"100%\" }}>\n                {searchResults.length > 0 ? (\n                  <>\n                    <div className=\"space-y-3\" style={{ maxWidth: \"100%\" }}>\n                      {searchResults.map((result, index) => (\n                        <SearchResultItem\n                          key={`result-${index}`}\n                          result={result}\n                        />\n                      ))}\n                    </div>\n                  </>\n                ) : (\n                  <div className=\"text-center text-gray-500 py-4 text-base\">\n                    {t(\"chatRightPanel.noSearchResults\")}\n                  </div>\n                )}\n              </div>\n            </div>\n          )}\n\n          {activeTab === \"images\" && (\n            <div className=\"p-4\" style={{ maxWidth: \"400px\" }}>\n              {processedImages.length > 0 ? (\n                <>\n                  <div className=\"grid grid-cols-2 gap-2\">\n                    {processedImages\n                      .slice(0, expandedImages ? undefined : maxInitialImages)\n                      .map((imageUrl: string, index: number) => (\n                        <div\n                          key={`img-${index}`}\n                          className=\"relative border rounded-md overflow-hidden hover:border-blue-500 transition-colors cursor-pointer\"\n                          onClick={() => handleImageClick(imageUrl)}\n                        >\n                          {renderImage(imageUrl, index)}\n                        </div>\n                      ))}\n                  </div>\n\n                  {processedImages.length > maxInitialImages && (\n                    <div className=\"mt-4 text-center\">\n                      <Button\n                        type=\"default\"\n                        size=\"small\"\n                        onClick={() => setExpandedImages(!expandedImages)}\n                        className=\"w-full\"\n                      >\n                        {expandedImages\n                          ? t(\"chatRightPanel.collapseImages\")\n                          : t(\"chatRightPanel.expandImages\", {\n                              count: processedImages.length,\n                            })}\n                      </Button>\n                    </div>\n                  )}\n                </>\n              ) : (\n                <div className=\"flex flex-col items-center justify-center p-6 text-center min-h-[200px]\">\n                  <Database className=\"h-12 w-12 text-muted-foreground/40 mb-4\" />\n                  <p className=\"text-lg font-medium mb-2\">\n                    {t(\"chatRightPanel.noImages\")}\n                  </p>\n                  <p className=\"text-sm text-muted-foreground\">\n                    {t(\"chatRightPanel.noAssociatedImages\")}\n                  </p>\n                </div>\n              )}\n            </div>\n          )}\n        </div>\n      </div>\n    </div>\n  );\n}\n"
  },
  {
    "path": "frontend/app/[locale]/chat/internal/ChatTopNavContent.tsx",
    "content": "\"use client\";\n\nimport { useConfig } from \"@/hooks/useConfig\";\nimport { extractColorsFromUri } from \"@/lib/avatar\";\nimport { useRouter } from \"next/navigation\";\nimport { useTranslation } from \"react-i18next\";\n\n/**\n * ChatTopNavContent - Displays app logo and name in the top navbar for chat page\n */\nexport function ChatTopNavContent() {\n  const router = useRouter();\n  const { i18n } = useTranslation();\n  const { appConfig, getAppAvatarUrl } = useConfig();\n  const sidebarAvatarUrl = getAppAvatarUrl(16);\n  \n  // Static font-size for top navbar (no responsive sizing required)\n\n  const colors = extractColorsFromUri(appConfig.avatarUri || \"\");\n  const mainColor = colors.mainColor || \"273746\";\n  const secondaryColor = colors.secondaryColor || mainColor;\n\n  return (\n    <div\n      className=\"flex items-center cursor-pointer hover:opacity-80 transition-opacity\"\n      onClick={() => router.push(`/${i18n.language}`)}\n    >\n      <div className=\"h-6 w-6 rounded-full overflow-hidden mr-2\">\n        <img\n          src={sidebarAvatarUrl}\n          alt={appConfig.appName}\n          className=\"h-full w-full object-cover\"\n        />\n      </div>\n      <span\n        className=\"font-bold truncate bg-clip-text text-transparent\"\n        style={{\n          fontSize: '16px',\n          lineHeight: '20px',\n          backgroundImage: `linear-gradient(180deg, #${mainColor} 0%, #${secondaryColor} 100%)`,\n        }}\n      >\n        {appConfig.appName}\n      </span>\n    </div>\n  );\n}\n\n"
  },
  {
    "path": "frontend/app/[locale]/chat/internal/chatAttachment.tsx",
    "content": "import { chatConfig } from \"@/const/chatConfig\";\nimport { useState } from \"react\";\nimport { useTranslation } from \"react-i18next\";\nimport { Download } from \"lucide-react\";\nimport {\n  FileImageFilled,\n  FilePdfFilled,\n  FileWordFilled,\n  FileExcelFilled,\n  FilePptFilled,\n  FileTextFilled,\n  Html5Filled,\n  CodeFilled,\n  FileUnknownFilled,\n  FileZipFilled,\n} from \"@ant-design/icons\";\nimport {\n  storageService,\n  convertImageUrlToApiUrl,\n  extractObjectNameFromUrl,\n} from \"@/services/storageService\";\n\nimport log from \"@/lib/logger\";\n\nimport { Modal, App } from \"antd\";\nimport { cn } from \"@/lib/utils\";\nimport { AttachmentItem, ChatAttachmentProps } from \"@/types/chat\";\n\n// Image viewer component\nconst ImageViewer = ({\n  url,\n  isOpen,\n  onClose,\n}: {\n  url: string;\n  isOpen: boolean;\n  onClose: () => void;\n}) => {\n  if (!isOpen) return null;\n  const { t } = useTranslation(\"common\");\n\n  // Convert image URL to backend API URL\n  const imageUrl = convertImageUrlToApiUrl(url);\n\n  return (\n    <Modal\n      open={isOpen}\n      onCancel={onClose}\n      footer={null}\n      centered\n      title={t(\"chatAttachment.imagePreview\")}\n    >\n      <div className=\"flex items-center justify-center\">\n        <img src={imageUrl} alt=\"img\" />\n      </div>\n    </Modal>\n  );\n};\n\n// File viewer component\nconst FileViewer = ({\n  objectName,\n  url,\n  name,\n  contentType,\n  isOpen,\n  onClose,\n}: {\n  objectName?: string;\n  url?: string;\n  name: string;\n  contentType?: string;\n  isOpen: boolean;\n  onClose: () => void;\n}) => {\n  if (!isOpen) return null;\n  const { t } = useTranslation(\"common\");\n  const { message } = App.useApp();\n  const [isDownloading, setIsDownloading] = useState(false);\n\n  // Handle file download\n  const handleDownload = async (e: React.MouseEvent) => {\n    // Prevent dialog from closing immediately\n    e.preventDefault();\n    e.stopPropagation();\n\n    // Check if URL is a direct http/https URL that can be accessed directly\n    // Exclude backend API endpoints (containing /api/file/download/)\n    if (\n      url &&\n      (url.startsWith(\"http://\") || url.startsWith(\"https://\")) &&\n      !url.includes(\"/api/file/download/\")\n    ) {\n      // Direct download from HTTP/HTTPS URL without backend\n      const link = document.createElement(\"a\");\n      link.href = url;\n      link.download = name;\n      link.style.display = \"none\";\n      document.body.appendChild(link);\n      link.click();\n      setTimeout(() => {\n        document.body.removeChild(link);\n      }, 100);\n      message.success(\n        t(\"chatAttachment.downloadSuccess\", \"File download started\")\n      );\n      setTimeout(() => {\n        onClose();\n      }, 500);\n      return;\n    }\n\n    // Try to get object_name from props or extract from URL\n    let finalObjectName: string | undefined = objectName;\n\n    if (!finalObjectName && url) {\n      finalObjectName = extractObjectNameFromUrl(url) || undefined;\n    }\n\n    if (!finalObjectName) {\n      // If we still don't have object_name, fall back to direct URL download\n      if (url) {\n        // Create a temporary link to download from URL\n        const link = document.createElement(\"a\");\n        link.href = url;\n        link.download = name;\n        link.style.display = \"none\";\n        document.body.appendChild(link);\n        link.click();\n        setTimeout(() => {\n          document.body.removeChild(link);\n        }, 100);\n        message.success(\n          t(\"chatAttachment.downloadSuccess\", \"File download started\")\n        );\n        return;\n      } else {\n        message.error(\n          t(\n            \"chatAttachment.downloadError\",\n            \"File object name or URL is missing\"\n          )\n        );\n        return;\n      }\n    }\n\n    setIsDownloading(true);\n    try {\n      // Start download (non-blocking, browser handles it)\n      await storageService.downloadFile(finalObjectName, name);\n      // Show success message immediately after triggering download\n      message.success(\n        t(\"chatAttachment.downloadSuccess\", \"File download started\")\n      );\n      // Keep dialog open for a moment to show the message, then close\n      setTimeout(() => {\n        setIsDownloading(false);\n        onClose();\n      }, 500);\n    } catch (error) {\n      log.error(\"Failed to download file:\", error);\n      setIsDownloading(false);\n      // If backend download fails and we have URL, try direct download as fallback\n      if (url) {\n        try {\n          const link = document.createElement(\"a\");\n          link.href = url;\n          link.download = name;\n          link.style.display = \"none\";\n          document.body.appendChild(link);\n          link.click();\n          setTimeout(() => {\n            document.body.removeChild(link);\n          }, 100);\n          message.success(\n            t(\"chatAttachment.downloadSuccess\", \"File download started\")\n          );\n          setTimeout(() => {\n            onClose();\n          }, 500);\n        } catch (fallbackError) {\n          message.error(\n            t(\n              \"chatAttachment.downloadError\",\n              \"Failed to download file. Please try again.\"\n            )\n          );\n        }\n      } else {\n        message.error(\n          t(\n            \"chatAttachment.downloadError\",\n            \"Failed to download file. Please try again.\"\n          )\n        );\n      }\n    }\n  };\n\n  return (\n    <Modal\n      open={isOpen}\n      onCancel={onClose}\n      footer={null}\n      centered\n      title={\n        <div className=\"flex items-center gap-2\">\n          {getFileIcon(name, contentType)}\n          <span className=\"truncate max-w-[400px]\" title={name}>\n            {name}\n          </span>\n        </div>\n      }\n    >\n      <div className=\"border rounded-md max-h-[70vh] overflow-auto\">\n        <div className=\"p-16 text-center\">\n          <div className=\"flex justify-center mb-4\">\n            {getFileIcon(name, contentType)}\n          </div>\n          <p className=\"text-gray-600 mb-4\">\n            {t(\"chatAttachment.previewNotSupported\")}\n          </p>\n          <button\n            onClick={handleDownload}\n            disabled={(!objectName && !url) || isDownloading}\n            type=\"button\"\n            className=\"inline-flex items-center gap-2 px-4 py-2 bg-blue-500 text-white rounded-md hover:bg-blue-600 transition-colors disabled:opacity-50 disabled:cursor-not-allowed\"\n          >\n            <Download size={16} />\n            {isDownloading\n              ? t(\"chatAttachment.downloading\", \"Downloading...\")\n              : t(\"chatAttachment.downloadToView\")}\n          </button>\n        </div>\n      </div>\n    </Modal>\n  );\n};\n\n// Get file extension\nconst getFileExtension = (filename: string): string => {\n  return filename\n    .slice(((filename.lastIndexOf(\".\") - 1) >>> 0) + 2)\n    .toLowerCase();\n};\n\n// Get file icon function - consistent with the input box component\nconst getFileIcon = (name: string, contentType?: string) => {\n  const extension = getFileExtension(name);\n  const fileType = contentType || \"\";\n  const iconSize = 32;\n\n  // Image file - using lucide-react\n  if (\n    fileType.startsWith(\"image/\") ||\n    [\"jpg\", \"jpeg\", \"png\", \"gif\", \"webp\", \"svg\", \"bmp\"].includes(extension)\n  ) {\n    return <FileImageFilled size={iconSize} color=\"#8e44ad\" />;\n  }\n\n  // Identify by extension name\n  // Document file\n  if (chatConfig.fileIcons.pdf.includes(extension)) {\n    return <FilePdfFilled size={iconSize} color=\"#e74c3c\" />;\n  }\n  if (chatConfig.fileIcons.word.includes(extension)) {\n    return (\n      <FileWordFilled size={iconSize} color=\"#3498db\" />\n    );\n  }\n  if (chatConfig.fileIcons.text.includes(extension)) {\n    return <FileTextFilled size={iconSize} color=\"#7f8c8d\" />;\n  }\n  if (chatConfig.fileIcons.markdown.includes(extension)) {\n    return <FileTextFilled size={iconSize} color=\"#34495e\" />;\n  }\n  // Table file\n  if (chatConfig.fileIcons.excel.includes(extension)) {\n    return <FileExcelFilled size={iconSize} color=\"#27ae60\" />;\n  }\n  // Presentation file\n  if (chatConfig.fileIcons.powerpoint.includes(extension)) {\n    return <FilePptFilled size={iconSize} color=\"#e67e22\" />;\n  }\n\n  // Code file\n  if (chatConfig.fileIcons.html.includes(extension)) {\n    return <Html5Filled size={iconSize} color=\"#e67e22\" />;\n  }\n  if (chatConfig.fileIcons.code.includes(extension)) {\n    return <CodeFilled size={iconSize} color=\"#f39c12\" />;\n  }\n  if (chatConfig.fileIcons.json.includes(extension)) {\n    return <CodeFilled size={iconSize} color=\"#f1c40f\" />;\n  }\n\n  // Compressed file\n  if (chatConfig.fileIcons.compressed.includes(extension)) {\n    return <FileZipFilled size={iconSize} color=\"#f39c12\" />;\n  }\n\n  // Default file icon\n  return <FileUnknownFilled size={iconSize} color=\"#95a5a6\" />;\n};\n\n// Format file size\nconst formatFileSize = (size: number): string => {\n  if (size < 1024) return `${size} B`;\n  if (size < 1024 * 1024) return `${(size / 1024).toFixed(1)} KB`;\n  return `${(size / (1024 * 1024)).toFixed(1)} MB`;\n};\n\nexport function ChatAttachment({\n  attachments,\n  onImageClick,\n  className = \"\",\n}: ChatAttachmentProps) {\n  const [selectedImage, setSelectedImage] = useState<string | null>(null);\n  const [selectedFile, setSelectedFile] = useState<{\n    objectName?: string;\n    url?: string;\n    name: string;\n    contentType?: string;\n  } | null>(null);\n  const { t } = useTranslation(\"common\");\n\n  if (!attachments || attachments.length === 0) return null;\n\n  // Handle image click\n  const handleImageClick = (url: string) => {\n    // Use internal preview\n    setSelectedImage(url);\n\n    // Also call external callback if provided (for compatibility)\n    if (onImageClick) {\n      onImageClick(url);\n    }\n  };\n\n  // Handle file click\n  const handleFileClick = (attachment: AttachmentItem) => {\n    if (attachment.url) {\n      const extension = getFileExtension(attachment.name);\n      const isImage =\n        attachment.type === \"image\" ||\n        (attachment.contentType &&\n          attachment.contentType.startsWith(\"image/\")) ||\n        chatConfig.imageExtensions.includes(extension);\n\n      if (isImage) {\n        // For images, use image processing logic\n        handleImageClick(attachment.url);\n      } else {\n        // For files, use internal preview\n        setSelectedFile({\n          objectName: attachment.object_name,\n          url: attachment.url,\n          name: attachment.name,\n          contentType: attachment.contentType,\n        });\n      }\n    }\n  };\n\n  return (\n    <div className={cn(\"flex flex-wrap gap-2\", className)}>\n      {attachments.map((attachment, index) => {\n        const extension = getFileExtension(attachment.name);\n        const isImage =\n          attachment.type === \"image\" ||\n          (attachment.contentType &&\n            attachment.contentType.startsWith(\"image/\")) ||\n          chatConfig.imageExtensions.includes(extension);\n\n        return (\n          <div\n            key={`attachment-${index}`}\n            className=\"relative group rounded-md border border-slate-200 bg-white shadow-sm hover:shadow transition-all duration-200 w-[190px] mb-1 cursor-pointer\"\n            onClick={() => {\n              if (attachment.url) {\n                handleFileClick(attachment);\n              }\n            }}\n          >\n            <div className=\"relative p-2 h-[52px] flex items-center\">\n              {isImage ? (\n                <div className=\"flex items-center gap-3 w-full\">\n                  <div className=\"w-10 h-10 flex-shrink-0 overflow-hidden rounded-md\">\n                    {attachment.url && (\n                      <img\n                        src={convertImageUrlToApiUrl(attachment.url)}\n                        alt={attachment.name}\n                        className=\"w-full h-full object-cover\"\n                        loading=\"lazy\"\n                      />\n                    )}\n                  </div>\n                  <div className=\"flex-1 overflow-hidden\">\n                    <span\n                      className=\"text-sm truncate block max-w-[110px] font-medium\"\n                      title={attachment.name}\n                    >\n                      {attachment.name || t(\"chatAttachment.image\")}\n                    </span>\n                    <span className=\"text-xs text-gray-500\">\n                      {formatFileSize(attachment.size)}\n                    </span>\n                  </div>\n                </div>\n              ) : (\n                <div className=\"flex items-center gap-3 w-full\">\n                  <div className=\"flex-shrink-0 transform group-hover:scale-110 transition-transform w-8 flex justify-center\">\n                    {getFileIcon(attachment.name, attachment.contentType)}\n                  </div>\n                  <div className=\"flex-1 overflow-hidden\">\n                    <span\n                      className=\"text-sm truncate block max-w-[110px] font-medium\"\n                      title={attachment.name}\n                    >\n                      {attachment.name}\n                    </span>\n                    <span className=\"text-xs text-gray-500\">\n                      {formatFileSize(attachment.size)}\n                    </span>\n                  </div>\n                </div>\n              )}\n            </div>\n          </div>\n        );\n      })}\n\n      {/* Image viewer */}\n      {selectedImage && (\n        <ImageViewer\n          url={selectedImage}\n          isOpen={!!selectedImage}\n          onClose={() => setSelectedImage(null)}\n        />\n      )}\n\n      {/* File viewer */}\n      {selectedFile && (\n        <FileViewer\n          objectName={selectedFile.objectName}\n          url={selectedFile.url}\n          name={selectedFile.name}\n          contentType={selectedFile.contentType}\n          isOpen={!!selectedFile}\n          onClose={() => setSelectedFile(null)}\n        />\n      )}\n    </div>\n  );\n}\n"
  },
  {
    "path": "frontend/app/[locale]/chat/internal/chatHelpers.tsx",
    "content": "// Handle duplicate search results\nexport const deduplicateSearchResults = (\n  existingResults: any[],\n  newResults: any[]\n): any[] => {\n  const uniqueResults = [...existingResults];\n  const existingTexts = new Set(existingResults.map((item) => item.text));\n\n  for (const result of newResults) {\n    if (!existingTexts.has(result.text)) {\n      uniqueResults.push(result);\n      existingTexts.add(result.text);\n    }\n  }\n\n  return uniqueResults;\n};\n\n// Handle duplicate images\nexport const deduplicateImages = (\n  existingImages: string[],\n  newImages: string[]\n): string[] => {\n  const uniqueImages = [...existingImages];\n  const existingUrls = new Set(existingImages);\n\n  for (const imageUrl of newImages) {\n    if (!existingUrls.has(imageUrl)) {\n      uniqueImages.push(imageUrl);\n      existingUrls.add(imageUrl);\n    }\n  }\n\n  return uniqueImages;\n};\n"
  },
  {
    "path": "frontend/app/[locale]/chat/internal/chatInterface.tsx",
    "content": "\"use client\";\n\nimport type React from \"react\";\n\nimport { useState, useRef, useEffect, useCallback } from \"react\";\nimport { useRouter } from \"next/navigation\";\nimport { v4 as uuidv4 } from \"uuid\";\nimport { useTranslation } from \"react-i18next\";\n\nimport { ROLE_ASSISTANT } from \"@/const/agentConfig\";\nimport { MESSAGE_ROLES } from \"@/const/chatConfig\";\nimport { useConfig } from \"@/hooks/useConfig\";\nimport { useAuthorizationContext } from \"@/components/providers/AuthorizationProvider\";\nimport { useDeployment } from \"@/components/providers/deploymentProvider\";\nimport { conversationService } from \"@/services/conversationService\";\nimport { storageService, convertImageUrlToApiUrl } from \"@/services/storageService\";\nimport { useConversationManagement } from \"@/hooks/chat/useConversationManagement\";\n\nimport { ChatSidebar } from \"../components/chatLeftSidebar\";\nimport { FilePreview } from \"@/types/chat\";\nimport { ChatHeader } from \"../components/chatHeader\";\nimport { ChatRightPanel } from \"../components/chatRightPanel\";\nimport { ChatStreamMain } from \"../streaming/chatStreamMain\";\n\nimport {\n  preprocessAttachments,\n  handleFileUpload as preProcessHandleFileUpload,\n  handleImageUpload as preProcessHandleImageUpload,\n  uploadAttachments,\n  createMessageAttachments,\n  cleanupAttachmentUrls,\n} from \"@/app/chat/internal/chatPreprocess\";\nimport { ConversationListItem, ApiConversationDetail } from \"@/types/chat\";\nimport { ChatMessageType } from \"@/types/chat\";\nimport { handleStreamResponse } from \"@/app/chat/streaming/chatStreamHandler\";\nimport {\n  extractUserMsgFromResponse,\n  extractAssistantMsgFromResponse,\n} from \"./extractMsgFromHistoryResponse\";\n\nimport { Layout } from \"antd\";\nimport log from \"@/lib/logger\";\n\nconst stepIdCounter = { current: 0 };\n\n// Get internationalization key based on message type\nconst getI18nKeyByType = (type: string): string => {\n  const typeToKeyMap: Record<string, string> = {\n    \"progress\": \"chatInterface.parsingFileWithProgress\",\n    \"truncation\": \"chatInterface.fileTruncated\",\n  };\n  return typeToKeyMap[type] || \"\";\n};\n\nexport function ChatInterface() {\n  const [input, setInput] = useState(\"\");\n  // Replace the original messages state\n  const [sessionMessages, setSessionMessages] = useState<{[conversationId: number]: ChatMessageType[];}>({});\n  const [isSwitchedConversation, setIsSwitchedConversation] = useState(false); // Add conversation switching tracking state\n  const [isLoading, setIsLoading] = useState(false);\n  const { t } = useTranslation(\"common\");\n\n  // Use conversation management hook\n  const conversationManagement = useConversationManagement();\n\n  // For each conversation, maintain independent SSE connections and states\n  const [streamingConversations, setStreamingConversations] = useState<Set<number>>(new Set());\n  const conversationControllersRef = useRef<Map<number, AbortController>>(new Map());\n  const conversationTimeoutsRef = useRef<Map<number, NodeJS.Timeout>>(new Map());\n\n  // Place the declaration of currentMessages after the definition of selectedConversationId\n  // If a historical conversation is being loaded and there are no cached messages, return an empty array to avoid displaying error content\n  const currentMessages = conversationManagement.selectedConversationId\n    ? sessionMessages[conversationManagement.selectedConversationId] || []\n    : [];\n\n  // Monitor changes in currentMessages\n  // Calculate if the current conversation is streaming\n  const isCurrentConversationStreaming =\n    conversationManagement.selectedConversationId != null\n      ? streamingConversations.has(conversationManagement.selectedConversationId)\n      : false;\n\n  const [viewingImage, setViewingImage] = useState<string | null>(null);\n\n  // Add attachment state management\n  const [attachments, setAttachments] = useState<FilePreview[]>([]);\n  const [fileUrls, setFileUrls] = useState<{ [id: string]: string }>({});\n\n  const [isStreaming, setIsStreaming] = useState(false); // Add streaming state\n  const abortControllerRef = useRef<AbortController | null>(null); // Add AbortController reference\n  const timeoutRef = useRef<NodeJS.Timeout | null>(null); // Add timeout reference\n\n\n  // Add a state to track if we're loading a historical conversation\n  const [isLoadingHistoricalConversation, setIsLoadingHistoricalConversation] =\n    useState(false);\n\n  // Add a state to track completed conversations that haven't been viewed yet\n  const [completedConversations, setCompletedConversations] = useState<\n    Set<number>\n  >(new Set());\n\n  // Ensure right sidebar is closed by default\n  const [showRightPanel, setShowRightPanel] = useState(false);\n\n  const [selectedMessageId, setSelectedMessageId] = useState<\n    string | undefined\n  >();\n\n  // Add force scroll to bottom state control\n  const [shouldScrollToBottom, setShouldScrollToBottom] = useState(false);\n\n  // Add agent selection state\n  const [selectedAgentId, setSelectedAgentId] = useState<string | null>(null);\n\n  useEffect(() => {\n    const agentId = sessionStorage.getItem(\"selectedAgentId\");\n    // Set selected agent ID from sessionStorage if it exists\n    if (agentId) {\n      setSelectedAgentId(agentId);\n      sessionStorage.removeItem(\"selectedAgentId\");\n    }\n  },[]);\n\n  // Reset scroll to bottom state\n  useEffect(() => {\n    if (shouldScrollToBottom) {\n      // Give enough time for scrolling to complete, then reset state\n      const timer = setTimeout(() => {\n        setShouldScrollToBottom(false);\n      }, 1200); // Slightly longer than the last scroll delay in ChatStreamMain\n\n      return () => clearTimeout(timer);\n    }\n  }, [shouldScrollToBottom]);\n\n  // Add attachment cleanup function - cleanup URLs when component unmounts\n  useEffect(() => {\n    return () => {\n      // Use preprocessing function to cleanup URLs\n      cleanupAttachmentUrls(attachments, fileUrls);\n    };\n  }, [attachments, fileUrls]);\n\n  // Handle file upload\n  const handleFileUpload = (file: File) => {\n    return preProcessHandleFileUpload(file, setFileUrls, t);\n  };\n\n  // Handle image upload\n  const handleImageUpload = (file: File) => {\n    preProcessHandleImageUpload(file, t);\n  };\n\n  // Add attachment management function\n  const handleAttachmentsChange = (newAttachments: FilePreview[]) => {\n    setAttachments(newAttachments);\n  };\n\n\n  // Handle right panel toggle - keep it simple and clear\n  const toggleRightPanel = () => {\n    setShowRightPanel(!showRightPanel);\n  };\n\n  // Add useEffect to listen for conversationId changes, ensure right sidebar is always closed when conversation switches\n  useEffect(() => {\n    // Ensure right sidebar is reset to closed state whenever conversation ID changes\n    setSelectedMessageId(undefined);\n    setShowRightPanel(false);\n  }, [conversationManagement.selectedConversationId]);\n\n  // Helper function to clear completed conversation indicator\n  const clearCompletedIndicator = useCallback(() => {\n    if (\n      conversationManagement.selectedConversationId != null\n    ) {\n      setCompletedConversations((prev) => {\n        // Use functional update to avoid dependency on completedConversations\n        if (conversationManagement.selectedConversationId != null && prev.has(conversationManagement.selectedConversationId)) {\n          const newSet = new Set(prev);\n          newSet.delete(conversationManagement.selectedConversationId);\n          return newSet;\n        }\n        return prev;\n      });\n    }\n  }, [conversationManagement.selectedConversationId]);\n\n\n\n  // Add useEffect to clear completed conversation indicator when user is viewing the current conversation\n  useEffect(() => {\n    // If current conversation is in completedConversations, clear it when user is viewing it\n    clearCompletedIndicator();\n  }, [conversationManagement.selectedConversationId, clearCompletedIndicator]);\n\n  // Add click event listener to clear completed conversation indicator when user clicks anywhere on the page\n  useEffect(() => {\n    const handlePageClick = (e: MouseEvent) => {\n      // Clear completed indicator when user clicks anywhere on the page\n      clearCompletedIndicator();\n    };\n\n    // Add click event listener to the document\n    document.addEventListener('click', handlePageClick, true);\n\n    return () => {\n      document.removeEventListener('click', handlePageClick, true);\n    };\n  }, [clearCompletedIndicator]);\n\n\n  // Clear all timers and requests when component unmounts\n  useEffect(() => {\n    return () => {\n      if (abortControllerRef.current) {\n        try {\n          abortControllerRef.current.abort(t(\"chatInterface.componentUnmount\"));\n        } catch (error) {\n          log.error(t(\"chatInterface.errorCancelingRequest\"), error);\n        }\n        abortControllerRef.current = null;\n      }\n\n      if (timeoutRef.current) {\n        clearTimeout(timeoutRef.current);\n        timeoutRef.current = null;\n      }\n    };\n  }, []);\n\n  const handleSend = async () => {\n    if (!input.trim() && attachments.length === 0) return; // Allow sending attachments only, without text content\n\n    // Flag to track if we should reset button states in finally block\n    let shouldResetButtonStates = true;\n\n    // If in new conversation state, switch to conversation state after sending message\n    if (conversationManagement.isNewConversation) {\n      conversationManagement.setIsNewConversation(false);\n    }\n\n    // Ensure right sidebar doesn't auto-expand when sending new message\n    setSelectedMessageId(undefined);\n    setShowRightPanel(false);\n\n    // Handle user message content\n    const userMessageId = uuidv4();\n    const userMessageContent = input.trim();\n\n    // Get current conversation ID (null when new conversation)\n    let currentConversationId = conversationManagement.selectedConversationId;\n    let cid: number | null = null; // set after guard, used in try/catch/finally\n\n    // Prepare attachment information\n    // Handle file upload\n    let uploadedFileUrls: Record<string, string> = {};\n    let objectNames: Record<string, string> = {}; // Add object name mapping\n\n    if (attachments.length > 0) {\n      // Show loading state\n      setIsLoading(true);\n\n      // Use preprocessing function to upload attachments\n      const uploadResult = await uploadAttachments(attachments, t);\n      uploadedFileUrls = uploadResult.uploadedFileUrls;\n      objectNames = uploadResult.objectNames; // Get object name mapping\n    }\n\n    // Use preprocessing function to create message attachments\n    const messageAttachments = createMessageAttachments(\n      attachments,\n      uploadedFileUrls,\n      fileUrls\n    );\n\n    // Create user message object\n    const userMessage: ChatMessageType = {\n      id: userMessageId,\n      role: MESSAGE_ROLES.USER,\n      content: userMessageContent,\n      timestamp: new Date(),\n      attachments:\n        messageAttachments.length > 0 ? messageAttachments : undefined,\n    };\n\n    // Clear input box and attachments\n    setInput(\"\");\n    setAttachments([]);\n\n    // Create initial AI reply message\n    const assistantMessageId = uuidv4();\n    const initialAssistantMessage: ChatMessageType = {\n      id: assistantMessageId,\n      role: ROLE_ASSISTANT,\n      content: \"\",\n      timestamp: new Date(),\n      isComplete: false,\n      steps: [],\n    };\n\n    // Send message and scroll to bottom\n    setShouldScrollToBottom(true);\n\n    setIsLoading(true);\n    setIsStreaming(true); // Set streaming state to true\n\n    // Create independent AbortController for current conversation\n    const currentController = new AbortController();\n\n    try {\n      // Check if need to create new conversation\n      if (currentConversationId == null) {\n        // No conversation selected: create new conversation first\n        try {\n          const createData = await conversationService.create(\n            t(\"chatInterface.newConversation\")\n          );\n          currentConversationId = createData.conversation_id;\n\n          // Update current session state\n          conversationManagement.setSelectedConversationId(currentConversationId);\n          conversationManagement.setConversationTitle(\n            createData.conversation_title || t(\"chatInterface.newConversation\")\n          );\n\n          // After creating new conversation, add it to streaming list\n          setStreamingConversations((prev) => {\n            const newSet = new Set(prev).add(createData.conversation_id);\n            return newSet;\n          });\n\n          // Refresh conversation list\n          try {\n            const dialogList = await conversationManagement.fetchConversationList();\n            const newDialog = dialogList.find(\n              (dialog) => dialog.conversation_id === currentConversationId\n            );\n            if (newDialog) {\n              conversationManagement.setSelectedConversationId(currentConversationId);\n            }\n          } catch (error) {\n            log.error(\n              t(\"chatInterface.refreshDialogListFailedButContinue\"),\n              error\n            );\n          }\n        } catch (error) {\n          log.error(\n            t(\"chatInterface.createDialogFailedButContinue\"),\n            error\n          );\n          // Reset button states when conversation creation fails\n          setIsLoading(false);\n          setIsStreaming(false);\n          return;\n        }\n      }\n\n      // Type guard: we have a number here (either from selection or from create above)\n      if (currentConversationId == null) return;\n      const id = currentConversationId;\n      cid = id;\n\n      // Register controller and streaming state for this conversation\n      conversationControllersRef.current.set(id, currentController);\n      setStreamingConversations((prev) => {\n        const newSet = new Set(prev);\n        newSet.add(id);\n        return newSet;\n      });\n\n      // Now add messages after conversation is created/confirmed\n      // 1. When sending user message, complete ChatMessageType fields\n      setSessionMessages((prev) => ({\n        ...prev,\n        [id]: [\n          ...(prev[id] || []),\n          {\n            ...userMessage,\n            id: userMessage.id || uuidv4(),\n            timestamp: userMessage.timestamp || new Date(),\n            isComplete: userMessage.isComplete ?? true,\n            steps: userMessage.steps || [],\n            attachments: userMessage.attachments || [],\n            images: userMessage.images || [],\n          },\n        ],\n      }));\n\n      // 2. When adding AI reply message, complete ChatMessageType fields\n      setSessionMessages((prev) => ({\n        ...prev,\n        [id]: [\n          ...(prev[id] || []),\n          {\n            ...initialAssistantMessage,\n            id: initialAssistantMessage.id || uuidv4(),\n            timestamp: initialAssistantMessage.timestamp || new Date(),\n            isComplete: initialAssistantMessage.isComplete ?? false,\n            steps: initialAssistantMessage.steps || [],\n            attachments: initialAssistantMessage.attachments || [],\n            images: initialAssistantMessage.images || [],\n          },\n        ],\n      }));\n\n      // If there are attachment files, skip preprocessing (no API call, no UI prompts)\n      let finalQuery = userMessage.content;\n      // Declare a variable to save file description information\n      let fileDescriptionsMap: Record<string, string> = {};\n\n      if (attachments.length > 0) {\n        // Skip preprocessing - directly use original content\n        // No preprocessing UI will be shown\n        const result = await preprocessAttachments(\n          userMessage.content,\n          attachments,\n          currentController.signal,\n          () => {}, // Empty progress callback - won't be called\n          t,\n          currentConversationId\n        );\n\n        finalQuery = result.finalQuery;\n        fileDescriptionsMap = result.fileDescriptions || {};\n      }\n\n      // Send request to backend API, add signal parameter\n      const runAgentParams: any = {\n        query: finalQuery, // Use preprocessed query or original query\n        conversation_id: id,\n        is_set: isSwitchedConversation || currentMessages.length <= 1,\n        history: currentMessages\n          .filter((msg) => msg.id !== userMessage.id)\n          .map((msg) => ({\n            role: msg.role,\n            content:\n              msg.role === ROLE_ASSISTANT\n                ? msg.finalAnswer?.trim() || msg.content || \"\"\n                : msg.content || \"\",\n          })),\n        minio_files:\n          messageAttachments.length > 0\n            ? messageAttachments.map((attachment) => {\n                // Get file description\n                let description = \"\";\n                if (attachment.name in fileDescriptionsMap) {\n                  description = fileDescriptionsMap[attachment.name];\n                }\n\n                return {\n                  object_name: objectNames[attachment.name] || \"\",\n                  name: attachment.name,\n                  type: attachment.type,\n                  size: attachment.size,\n                  url: uploadedFileUrls[attachment.name] || attachment.url,\n                  description: description,\n                };\n              })\n            : undefined, // Use complete attachment object structure\n      };\n\n      // Only add agent_id if it's not null\n      if (selectedAgentId !== null) {\n        runAgentParams.agent_id = Number(selectedAgentId);\n      }\n\n      const reader = await conversationService.runAgent(\n        runAgentParams,\n        currentController.signal\n      );\n\n      if (!reader) throw new Error(\"Response body is null\");\n\n      // Create dynamic setCurrentSessionMessages in handleSend function\n      // setCurrentSessionMessages factory function\n      const setCurrentSessionMessagesFactory =\n        (\n          targetConversationId: number\n        ): React.Dispatch<React.SetStateAction<ChatMessageType[]>> =>\n        (valueOrUpdater) => {\n          setSessionMessages((prev) => {\n            const prevArr = prev[targetConversationId] || [];\n            let nextArr: ChatMessageType[];\n            if (typeof valueOrUpdater === \"function\") {\n              nextArr = (\n                valueOrUpdater as (prev: ChatMessageType[]) => ChatMessageType[]\n              )(prevArr);\n            } else {\n              nextArr = valueOrUpdater;\n            }\n            // Ensure new reference\n            return {\n              ...prev,\n              [targetConversationId]: [...nextArr],\n            };\n          });\n        };\n\n      // Create resetTimeout function for current conversation\n      const resetTimeout = () => {\n        const timeout = conversationTimeoutsRef.current.get(id);\n        if (timeout) {\n          clearTimeout(timeout);\n        }\n        const newTimeout = setTimeout(async () => {\n          const controller = conversationControllersRef.current.get(id);\n          if (controller && !controller.signal.aborted) {\n            try {\n              controller.abort(t(\"chatInterface.requestTimeout\"));\n\n              setSessionMessages((prev) => {\n                const newMessages = { ...prev };\n                const lastMsg =\n                  newMessages[id]?.[newMessages[id].length - 1];\n                if (lastMsg && lastMsg.role === ROLE_ASSISTANT) {\n                  lastMsg.error = t(\"chatInterface.requestTimeoutRetry\");\n                  lastMsg.isComplete = true;\n                  lastMsg.thinking = undefined;\n                }\n                return newMessages;\n              });\n\n              try {\n                await conversationService.stop(id);\n              } catch (error) {\n                log.error(\n                  t(\"chatInterface.stopTimeoutRequestFailed\"),\n                  error\n                );\n              }\n            } catch (error) {\n              log.error(t(\"chatInterface.errorCancelingRequest\"), error);\n            }\n          }\n          conversationTimeoutsRef.current.delete(id);\n        }, 120000);\n        conversationTimeoutsRef.current.set(id, newTimeout);\n      };\n\n      // Before processing streaming response, set an initial timeout first\n      resetTimeout();\n\n      // Call streaming processing function to handle response\n      // Compatible with both function and direct assignment\n      await handleStreamResponse(\n        reader,\n        setCurrentSessionMessagesFactory(id),\n        resetTimeout,\n        stepIdCounter,\n        setIsSwitchedConversation,\n        conversationManagement.isNewConversation,\n        conversationManagement.setConversationTitle,\n        conversationManagement.fetchConversationList,\n        id,\n        conversationService,\n        false, // isDebug: false for normal chat mode\n        t\n      );\n\n      // Reset all related states\n      setIsLoading(false);\n      setIsStreaming(false);\n\n      // Clean up controller and timeout for current conversation\n      conversationControllersRef.current.delete(id);\n      const timeout = conversationTimeoutsRef.current.get(id);\n      if (timeout) {\n        clearTimeout(timeout);\n        conversationTimeoutsRef.current.delete(id);\n      }\n\n      // Remove from streaming list when we have a valid conversation id\n      setStreamingConversations((prev) => {\n        const newSet = new Set(prev);\n        newSet.delete(id);\n        return newSet;\n      });\n\n      // When conversation is completed, only add to completed conversation list when user is not in current conversation interface\n      const currentUserConversation = conversationManagement.selectedConversationId;\n      if (currentUserConversation !== id) {\n        setCompletedConversations((prev) => {\n          const newSet = new Set(prev);\n          newSet.add(id);\n          return newSet;\n        });\n      }\n\n      // Note: Save operation is already implemented in agent run API, no need to save again in frontend\n    } catch (error) {\n      // If user actively canceled, don't show error message\n      const err = error as Error;\n      if (cid != null) {\n        const idForCatch = cid;\n        if (err.name === \"AbortError\") {\n          setSessionMessages((prev) => {\n            const newMessages = { ...prev };\n            const lastMsg =\n              newMessages[idForCatch]?.[newMessages[idForCatch].length - 1];\n            if (lastMsg && lastMsg.role === ROLE_ASSISTANT) {\n              lastMsg.content = t(\"chatInterface.conversationStopped\");\n              lastMsg.isComplete = true;\n              lastMsg.thinking = undefined; // Explicitly clear thinking state\n            }\n            return newMessages;\n          });\n        } else {\n          log.error(t(\"chatInterface.errorLabel\"), error);\n          const errorMessage = t(\"chatInterface.errorProcessingRequest\");\n          setSessionMessages((prev) => {\n            const newMessages = { ...prev };\n            const lastMsg =\n              newMessages[idForCatch]?.[newMessages[idForCatch].length - 1];\n            if (lastMsg && lastMsg.role === ROLE_ASSISTANT) {\n              lastMsg.content = errorMessage;\n              lastMsg.isComplete = true;\n              lastMsg.error = errorMessage;\n              lastMsg.thinking = undefined; // Explicitly clear thinking state\n            }\n            return newMessages;\n          });\n        }\n      }\n\n      setIsLoading(false);\n      setIsStreaming(false);\n\n      // Clean up when we had a conversation id (cid is set after the guard in try)\n      if (cid != null) {\n        const idForCatch = cid;\n        conversationControllersRef.current.delete(idForCatch);\n        const timeout = conversationTimeoutsRef.current.get(idForCatch);\n        if (timeout) {\n          clearTimeout(timeout);\n          conversationTimeoutsRef.current.delete(idForCatch);\n        }\n        setStreamingConversations((prev) => {\n          const newSet = new Set(prev);\n          newSet.delete(idForCatch);\n          return newSet;\n        });\n        const currentUserConversation = conversationManagement.selectedConversationId;\n        if (currentUserConversation !== idForCatch) {\n          setCompletedConversations((prev) => {\n            const newSet = new Set(prev);\n            newSet.add(idForCatch);\n            return newSet;\n          });\n        }\n      }\n    } finally {\n      // Only reset button states if we should (not when preprocessing fails)\n      if (shouldResetButtonStates) {\n        setIsLoading(false);\n        setIsStreaming(false);\n      }\n    }\n  };\n\n  const handleKeyDown = (e: React.KeyboardEvent) => {\n    if (e.key === \"Enter\" && !e.shiftKey) {\n      e.preventDefault();\n      handleSend();\n    }\n  };\n\n  const handleNewConversation = async () => {\n    // When creating new conversation, keep all existing SSE connections active\n    // Do not cancel any conversation requests, let them continue running in the background\n\n    // Record current running conversation\n    if (streamingConversations.size > 0) {\n      // Keep existing SSE connections active\n    }\n\n    // Reset all states\n    setInput(\"\");\n    setIsLoading(false);\n    setIsSwitchedConversation(false);\n\n    // Use conversation management hook\n    conversationManagement.handleNewConversation();\n    setIsLoadingHistoricalConversation(false); // Ensure not loading historical conversation\n\n    // Reset streaming state\n    setIsStreaming(false);\n\n    // Reset selected message and right panel state\n    setSelectedMessageId(undefined);\n    setShowRightPanel(false);\n\n    // Reset attachment state\n    setAttachments([]);\n    setFileUrls({});\n\n    // Clear URL parameters\n    const url = new URL(window.location.href);\n    if (url.searchParams.has(\"q\")) {\n      url.searchParams.delete(\"q\");\n      window.history.replaceState({}, \"\", url.toString());\n    }\n\n    // Wait for all state updates to complete\n    await new Promise((resolve) => setTimeout(resolve, 0));\n\n    // Ensure new conversation scrolls to bottom\n    setShouldScrollToBottom(true);\n  };\n\n\n  // When switching conversation, automatically load messages\n  const handleDialogClick = async (dialog: ConversationListItem) => {\n    // When switching conversation, keep all SSE connections active\n    // Do not cancel any conversation requests, let them continue running in the background\n\n    // Use conversation management hook\n    conversationManagement.handleConversationSelect(dialog);\n    setSelectedMessageId(undefined);\n    setShowRightPanel(false);\n\n    // When user views conversation, clear completed state\n    setCompletedConversations((prev) => {\n      const newSet = new Set(prev);\n      newSet.delete(dialog.conversation_id);\n      return newSet;\n    });\n\n    // Check if there are cached messages\n    const hasCachedMessages = sessionMessages[dialog.conversation_id] !== undefined;\n    const isCurrentActive = dialog.conversation_id === conversationManagement.selectedConversationId;\n\n    // Log: click conversation\n    // If there are cached messages, ensure not to show loading state\n    if (hasCachedMessages) {\n      const cachedMessages = sessionMessages[dialog.conversation_id];\n      // If cache is empty array, force reload historical messages\n      if (cachedMessages && cachedMessages.length === 0) {\n        setIsLoadingHistoricalConversation(true);\n        setIsLoading(true);\n\n        try {\n          // Create new AbortController for current request\n          const controller = new AbortController();\n\n          // Set timeout timer - 120 seconds\n          timeoutRef.current = setTimeout(() => {\n            if (controller && !controller.signal.aborted) {\n              try {\n                controller.abort(t(\"chatInterface.requestTimeout\"));\n              } catch (error) {\n                log.error(t(\"chatInterface.errorCancelingRequest\"), error);\n              }\n            }\n            timeoutRef.current = null;\n          }, 120000);\n\n          // Save current controller reference\n          abortControllerRef.current = controller;\n\n          // Use controller.signal to make request with timeout\n          const data = await conversationService.getDetail(\n            dialog.conversation_id,\n            controller.signal\n          );\n\n          // Clear timeout timer after request completes\n          if (timeoutRef.current) {\n            clearTimeout(timeoutRef.current);\n            timeoutRef.current = null;\n          }\n\n          // Don't process result if request was canceled\n          if (controller.signal.aborted) {\n            return;\n          }\n\n          if (data.code === 0 && data.data && data.data.length > 0) {\n            const conversationData = data.data[0] as ApiConversationDetail;\n            const dialogMessages = conversationData.message || [];\n\n            // Immediately process messages, do not use setTimeout\n            const formattedMessages: ChatMessageType[] = [];\n\n            // Optimized processing logic: process messages by role one by one, maintain original order\n            dialogMessages.forEach((dialog_msg, index) => {\n              if (dialog_msg.role === MESSAGE_ROLES.USER) {\n                const formattedUserMsg: ChatMessageType =\n                  extractUserMsgFromResponse(\n                    dialog_msg,\n                    index,\n                    conversationData.create_time\n                  );\n                formattedMessages.push(formattedUserMsg);\n              } else if (dialog_msg.role === MESSAGE_ROLES.ASSISTANT) {\n                const formattedAssistantMsg: ChatMessageType =\n                  extractAssistantMsgFromResponse(\n                    dialog_msg,\n                    index,\n                    conversationData.create_time,\n                    t\n                  );\n                formattedMessages.push(formattedAssistantMsg);\n              }\n            });\n\n            // Update message array\n            setSessionMessages((prev) => ({\n              ...prev,\n              [dialog.conversation_id]: formattedMessages,\n            }));\n\n            // Clear any previous error for this conversation\n            conversationManagement.clearConversationLoadError(dialog.conversation_id);\n\n            // Asynchronously load all attachment URLs\n            loadAttachmentUrls(formattedMessages, dialog.conversation_id);\n\n            // Trigger scroll to bottom\n            setShouldScrollToBottom(true);\n\n            // Reset shouldScrollToBottom after a delay to ensure scrolling completes.\n            setTimeout(() => {\n              setShouldScrollToBottom(false);\n            }, 1000);\n\n            // Note: Removed unnecessary conversation list refresh when loading historical messages\n            // Only refresh when creating, deleting, or renaming conversations\n          } else {\n            // No longer empty cache, only prompt no history messages\n            conversationManagement.setConversationLoadErrorForId(\n              dialog.conversation_id,\n              t(\"chatStreamMain.noHistory\") || \"该会话无历史消息\"\n            );\n          }\n        } catch (error) {\n          log.error(\n            t(\"chatInterface.errorFetchingConversationDetailsError\"),\n            error\n          );\n          // if error, don't set empty array, keep existing state to avoid showing new conversation interface\n          // Instead, we can show an error message or retry mechanism\n\n          conversationManagement.setConversationLoadErrorForId(dialog.conversation_id, \"Failed to load conversation\");\n        } finally {\n          // ensure loading state is cleared\n          setIsLoading(false);\n          setIsLoadingHistoricalConversation(false);\n        }\n      } else {\n        // Cache has content, display normally\n        setIsLoadingHistoricalConversation(false);\n        setIsLoading(false); // Ensure isLoading state is also reset\n\n        // For cases where there are cached messages, also trigger scrolling to the bottom.\n        setShouldScrollToBottom(true);\n        setTimeout(() => {\n          setShouldScrollToBottom(false);\n        }, 1000);\n      }\n    }\n\n    // If there are no cached messages and not current active conversation, load historical messages\n    if (!hasCachedMessages && !isCurrentActive) {\n      // Set loading historical conversation state\n      setIsLoadingHistoricalConversation(true);\n      setIsLoading(true);\n\n      try {\n        // Create new AbortController for current request\n        const controller = new AbortController();\n\n        // Set timeout timer - 120 seconds\n        timeoutRef.current = setTimeout(() => {\n          if (controller && !controller.signal.aborted) {\n            try {\n              controller.abort(t(\"chatInterface.requestTimeout\"));\n            } catch (error) {\n              log.error(t(\"chatInterface.errorCancelingRequest\"), error);\n            }\n          }\n          timeoutRef.current = null;\n        }, 120000);\n\n        // Save current controller reference\n        abortControllerRef.current = controller;\n\n        // Use controller.signal to make request with timeout\n        const data = await conversationService.getDetail(\n          dialog.conversation_id,\n          controller.signal\n        );\n\n        // Clear timeout timer after request completes\n        if (timeoutRef.current) {\n          clearTimeout(timeoutRef.current);\n          timeoutRef.current = null;\n        }\n\n        // Don't process result if request was canceled\n        if (controller.signal.aborted) {\n          return;\n        }\n\n        if (data.code === 0 && data.data && data.data.length > 0) {\n          const conversationData = data.data[0] as ApiConversationDetail;\n          const dialogMessages = conversationData.message || [];\n\n          // Immediately process messages, do not use setTimeout\n          const formattedMessages: ChatMessageType[] = [];\n\n          // Optimized processing logic: process messages by role one by one, maintain original order\n          dialogMessages.forEach((dialog_msg, index) => {\n            if (dialog_msg.role === MESSAGE_ROLES.USER) {\n              const formattedUserMsg: ChatMessageType =\n                extractUserMsgFromResponse(\n                  dialog_msg,\n                  index,\n                  conversationData.create_time\n                );\n              formattedMessages.push(formattedUserMsg);\n            } else if (dialog_msg.role === ROLE_ASSISTANT) {\n              const formattedAssistantMsg: ChatMessageType =\n                extractAssistantMsgFromResponse(\n                  dialog_msg,\n                  index,\n                  conversationData.create_time,\n                  t\n                );\n              formattedMessages.push(formattedAssistantMsg);\n            }\n          });\n\n          // Update message array\n          setSessionMessages((prev) => ({\n            ...prev,\n            [dialog.conversation_id]: formattedMessages,\n          }));\n\n          // Clear any previous error for this conversation\n          conversationManagement.clearConversationLoadError(dialog.conversation_id);\n\n          // Asynchronously load all attachment URLs\n          loadAttachmentUrls(formattedMessages, dialog.conversation_id);\n\n          // Trigger scroll to bottom\n          setShouldScrollToBottom(true);\n\n          // Reset shouldScrollToBottom after a delay to ensure scrolling completes.\n          setTimeout(() => {\n            setShouldScrollToBottom(false);\n          }, 1000);\n\n          // Note: Removed unnecessary conversation list refresh when loading historical messages\n          // Only refresh when creating, deleting, or renaming conversations\n        } else {\n          // No longer empty cache, only prompt no history messages\n          conversationManagement.setConversationLoadErrorForId(\n            dialog.conversation_id,\n            t(\"chatStreamMain.noHistory\") || \"该会话无历史消息\"\n          );\n        }\n      } catch (error) {\n        log.error(\n          t(\"chatInterface.errorFetchingConversationDetailsError\"),\n          error\n        );\n        // if error, don't set empty array, keep existing state to avoid showing new conversation interface\n        // Instead, we can show an error message or retry mechanism\n\n        conversationManagement.setConversationLoadErrorForId(dialog.conversation_id, \"Failed to load conversation\");\n      } finally {\n        // ensure loading state is cleared\n        setIsLoading(false);\n        setIsLoadingHistoricalConversation(false);\n      }\n    }\n  };\n\n  // Add function to asynchronously load attachment URLs\n  const loadAttachmentUrls = async (\n    messages: ChatMessageType[],\n    targetConversationId?: number\n  ) => {\n    // Create a copy to avoid directly modifying parameters\n    const updatedMessages = [...messages];\n    let hasUpdates = false;\n    const conversationIdToUse = targetConversationId ?? conversationManagement.selectedConversationId;\n\n    // Process attachments for each message\n    for (const message of updatedMessages) {\n      if (message.attachments && message.attachments.length > 0) {\n        // Get URL for each attachment\n        for (const attachment of message.attachments) {\n          if (attachment.object_name && !attachment.url) {\n            try {\n              // Get file URL\n              const url = await storageService.getFileUrl(\n                attachment.object_name\n              );\n              // Update attachment info\n              attachment.url = url;\n              hasUpdates = true;\n            } catch (error) {\n              log.error(\n                t(\"chatInterface.errorFetchingAttachmentUrl\", {\n                  object_name: attachment.object_name,\n                }),\n                error\n              );\n            }\n          }\n        }\n      }\n    }\n\n    // If there are updates and we have a conversation id, set new message array\n    if (hasUpdates && conversationIdToUse != null) {\n      setSessionMessages((prev) => ({\n        ...prev,\n        [conversationIdToUse]: updatedMessages,\n      }));\n    }\n  };\n\n  // Add image error handling function\n  const handleImageError = (imageUrl: string) => {\n    log.error(t(\"chatInterface.imageLoadFailed\"), imageUrl);\n\n    // Remove failed images from messages\n    setSessionMessages((prev) => {\n      const newMessages = { ...prev };\n      const lastMsg =\n        newMessages[conversationManagement.selectedConversationId!]?.[newMessages[conversationManagement.selectedConversationId!].length - 1];\n\n      if (lastMsg && lastMsg.role === ROLE_ASSISTANT && lastMsg.images) {\n        // Filter out failed images\n        lastMsg.images = lastMsg.images.filter((url) => url !== imageUrl);\n      }\n\n      return newMessages;\n    });\n  };\n\n  // Handle image click preview\n  const handleImageClick = (imageUrl: string) => {\n    setViewingImage(imageUrl);\n  };\n\n  // Add conversation stop handling function\n  const handleStop = async () => {\n    // Stop agent_run of current conversation\n    const currentController =\n      conversationControllersRef.current.get(conversationManagement.selectedConversationId!);\n    if (currentController) {\n      try {\n        currentController.abort(t(\"chatInterface.userManuallyStopped\"));\n      } catch (error) {\n        log.error(t(\"chatInterface.errorCancelingRequest\"), error);\n      }\n      conversationControllersRef.current.delete(conversationManagement.selectedConversationId!);\n    }\n\n    // Clear timeout timer for current conversation\n    const currentTimeout = conversationTimeoutsRef.current.get(conversationManagement.selectedConversationId!);\n    if (currentTimeout) {\n      clearTimeout(currentTimeout);\n      conversationTimeoutsRef.current.delete(conversationManagement.selectedConversationId!);\n    }\n\n    // Immediately update frontend state\n    setIsStreaming(false);\n    setIsLoading(false);\n\n    // If no valid conversation ID, just reset frontend state\n    if (conversationManagement.selectedConversationId == null) {\n      return;\n    }\n\n    try {\n      // Call backend stop API - this will stop both agent run and preprocess tasks\n      await conversationService.stop(conversationManagement.selectedConversationId!);\n\n      // Manually update messages, clear thinking state\n      setSessionMessages((prev) => {\n        const newMessages = { ...prev };\n        const lastMsg =\n          newMessages[conversationManagement.selectedConversationId!]?.[newMessages[conversationManagement.selectedConversationId!].length - 1];\n        if (lastMsg && lastMsg.role === ROLE_ASSISTANT) {\n          lastMsg.isComplete = true;\n          lastMsg.thinking = undefined; // Explicitly clear thinking state\n        }\n        return newMessages;\n      });\n\n      // remove from streaming list\n      setStreamingConversations((prev) => {\n        const newSet = new Set(prev);\n        newSet.delete(conversationManagement.selectedConversationId!);\n        return newSet;\n      });\n\n      // when conversation is stopped, only add to completed conversations list when user is not in current conversation interface\n      const currentUserConversation = conversationManagement.selectedConversationId;\n      if (currentUserConversation != null && currentUserConversation !== conversationManagement.selectedConversationId) {\n        setCompletedConversations((prev) => {\n          const newSet = new Set(prev);\n          newSet.add(conversationManagement.selectedConversationId!);\n          return newSet;\n        });\n      }\n    } catch (error) {\n      log.error(t(\"chatInterface.stopConversationFailed\"), error);\n\n      // Optionally show error message\n      setSessionMessages((prev) => {\n        const newMessages = { ...prev };\n        const lastMsg =\n          newMessages[conversationManagement.selectedConversationId!]?.[newMessages[conversationManagement.selectedConversationId!].length - 1];\n        if (lastMsg && lastMsg.role === ROLE_ASSISTANT) {\n          lastMsg.isComplete = true;\n          lastMsg.thinking = undefined; // Explicitly clear thinking state\n          lastMsg.error = t(\n            \"chatInterface.stopConversationFailedButFrontendStopped\"\n          );\n        }\n        return newMessages;\n      });\n    }\n  };\n\n  // Top title rename function\n  const handleTitleRename = async (newTitle: string) => {\n    if (conversationManagement.selectedConversationId && newTitle !== conversationManagement.conversationTitle) {\n      try {\n        await conversationManagement.updateConversationTitle(conversationManagement.selectedConversationId, newTitle);\n      } catch (error) {\n        log.error(t(\"chatInterface.renameFailed\"), error);\n      }\n    }\n  };\n\n  // Handle message selection\n  const handleMessageSelect = (messageId: string) => {\n    if (messageId !== selectedMessageId) {\n      // If clicking on new message, set as selected and open right panel\n      setSelectedMessageId(messageId);\n      // Auto open right panel\n      setShowRightPanel(true);\n    } else {\n      // If clicking on already selected message, toggle panel state\n      toggleRightPanel();\n    }\n  };\n\n  // Like/dislike handling\n  const handleOpinionChange = async (\n    messageId: number,\n    opinion: \"Y\" | \"N\" | null\n  ) => {\n    try {\n      await conversationService.updateOpinion({\n        message_id: messageId,\n        opinion,\n      });\n      setSessionMessages((prev) => {\n        const newMessages = { ...prev };\n        // Update the opinion_flag for the specific message in all conversations\n        Object.keys(newMessages).forEach((conversationId) => {\n          const messages = newMessages[parseInt(conversationId)];\n          if (messages) {\n            const messageIndex = messages.findIndex(\n              (msg) => msg.message_id === messageId\n            );\n            if (messageIndex !== -1) {\n              newMessages[parseInt(conversationId)] = [...messages];\n              newMessages[parseInt(conversationId)][messageIndex] = {\n                ...newMessages[parseInt(conversationId)][messageIndex],\n                opinion_flag: opinion || undefined,\n              };\n            }\n          }\n        });\n        return newMessages;\n      });\n    } catch (error) {\n      log.error(t(\"chatInterface.updateOpinionFailed\"), error);\n    }\n  };\n\n  // Add event listener for conversation list updates\n  useEffect(() => {\n    const handleConversationListUpdate = () => {\n      conversationManagement.fetchConversationList().catch((err) => {\n        log.error(t(\"chatInterface.failedToUpdateConversationList\"), err);\n      });\n    };\n\n    window.addEventListener(\n      \"conversationListUpdated\",\n      handleConversationListUpdate\n    );\n\n    return () => {\n      window.removeEventListener(\n        \"conversationListUpdated\",\n        handleConversationListUpdate\n      );\n    };\n  }, []);\n\n  // Handle settings click - not used when menu items are provided\n  const handleSettingsClick = () => {\n    // This function is kept for compatibility but not used\n    // Both admin and regular users now use dropdown menus\n  };\n\n\n\n  return (\n    <Layout hasSider className=\"flex h-full\">\n      <ChatSidebar\n        streamingConversations={streamingConversations}\n        completedConversations={completedConversations}\n        conversationManagement={conversationManagement}\n        onConversationSelect={handleDialogClick}\n      />\n\n      <Layout className=\"flex-1 flex flex-col overflow-hidden min-w-0\">\n          <div className=\"flex flex-1 overflow-hidden\">\n            <div className=\"flex-1 flex flex-col\">\n              <ChatHeader\n                title={conversationManagement.conversationTitle}\n                onRename={handleTitleRename}\n              />\n\n              <ChatStreamMain\n                messages={currentMessages}\n                input={input}\n                isLoading={isLoading}\n                isStreaming={isCurrentConversationStreaming}\n                isLoadingHistoricalConversation={\n                  isLoadingHistoricalConversation\n                }\n                conversationLoadError={\n                  conversationManagement.conversationLoadError[conversationManagement.selectedConversationId || 0]\n                }\n                onInputChange={(value: string) => setInput(value)}\n                onSend={handleSend}\n                onStop={handleStop}\n                onKeyDown={handleKeyDown}\n                onSelectMessage={handleMessageSelect}\n                selectedMessageId={selectedMessageId}\n                attachments={attachments}\n                onAttachmentsChange={handleAttachmentsChange}\n                onFileUpload={handleFileUpload}\n                onImageUpload={handleImageUpload}\n                onOpinionChange={handleOpinionChange}\n                currentConversationId={conversationManagement.selectedConversationId ?? undefined}\n                shouldScrollToBottom={shouldScrollToBottom}\n                selectedAgentId={selectedAgentId}\n                onAgentSelect={setSelectedAgentId}\n                onCitationHover={clearCompletedIndicator}\n                onScroll={clearCompletedIndicator}\n              />\n            </div>\n\n            <ChatRightPanel\n              messages={currentMessages}\n              onImageError={handleImageError}\n              maxInitialImages={14}\n              isVisible={showRightPanel}\n              toggleRightPanel={toggleRightPanel}\n              selectedMessageId={selectedMessageId}\n            />\n        </div>\n      </Layout>\n    </Layout>\n  );\n}\n"
  },
  {
    "path": "frontend/app/[locale]/chat/internal/chatPreprocess.tsx",
    "content": "import { conversationService } from \"@/services/conversationService\";\nimport { storageService } from \"@/services/storageService\";\nimport { FilePreview, AgentStep } from \"@/types/chat\";\nimport log from \"@/lib/logger\";\n\n// Step ID Counter\nconst stepIdCounter = { current: 0 };\n\n/**\n * Parse agent steps, convert text content to structured steps\n */\nexport const parseAgentSteps = (\n  content: string,\n  defaultExpanded: boolean = false,\n  t: any\n): AgentStep[] => {\n  const steps: AgentStep[] = [];\n  const stepRegex = /<step[^>]*>([\\s\\S]*?)<\\/step>/g;\n  let match;\n\n  while ((match = stepRegex.exec(content)) !== null) {\n    const stepContent = match[1];\n    const titleMatch = /<title>([\\s\\S]*?)<\\/title>/i.exec(stepContent);\n    const contentMatch = /<content>([\\s\\S]*?)<\\/content>/i.exec(stepContent);\n\n    const step: AgentStep = {\n      id: `step-${stepIdCounter.current++}`,\n      title: titleMatch ? titleMatch[1].trim() : t(\"chatPreprocess.step\"),\n      content: \"\",\n      expanded: defaultExpanded,\n      thinking: { content: \"\", expanded: false },\n      code: { content: \"\", expanded: false },\n      output: { content: \"\", expanded: false },\n      metrics: \"\",\n      contents: [],\n    };\n\n    if (contentMatch) {\n      step.contents = [\n        {\n          id: `content-${Date.now()}-${Math.random()\n            .toString(36)\n            .substring(2, 7)}`,\n          type: \"model_output\",\n          content: contentMatch[1],\n          expanded: false,\n          timestamp: Date.now(),\n        },\n      ];\n    }\n\n    steps.push(step);\n  }\n\n  return steps;\n};\n\n/**\n * Handle attachment file preprocessing\n * @param content User message content\n * @param attachments Attachment list\n * @param signal AbortController signal\n * @param onProgress Preprocessing progress callback\n * @param t Translation function\n * @param conversationId Conversation ID\n * @returns Preprocessed query and processing status\n */\nexport const preprocessAttachments = async (\n  content: string,\n  attachments: FilePreview[],\n  signal: AbortSignal,\n  onProgress: (data: any) => void,\n  t: any,\n  conversationId?: number\n): Promise<{\n  finalQuery: string;\n  success: boolean;\n  error?: string;\n  fileDescriptions?: Record<string, string>;\n}> => {\n  if (attachments.length === 0) {\n    return { finalQuery: content, success: true };\n  }\n\n  // Skip preprocessing API call - return original content directly\n  // If you want to re-enable preprocessing, uncomment the code below\n  return { finalQuery: content, success: true };\n\n  /* \n  // Original preprocessing code (disabled)\n  try {\n    // Call file preprocessing interface\n    const preProcessReader = await conversationService.preprocessFiles(\n      content,\n      attachments.map((attachment) => attachment.file),\n      conversationId,\n      signal\n    );\n\n    if (!preProcessReader)\n      throw new Error(t(\"chatPreprocess.preprocessResponseEmpty\"));\n\n    const preProcessDecoder = new TextDecoder();\n    let preProcessBuffer = \"\";\n    let finalQuery = content;\n    const fileDescriptions: Record<string, string> = {};\n\n    while (true) {\n      const { done, value } = await preProcessReader.read();\n      if (done) {\n        break;\n      }\n\n      preProcessBuffer += preProcessDecoder.decode(value, { stream: true });\n\n      const lines = preProcessBuffer.split(\"\\n\");\n      preProcessBuffer = lines.pop() || \"\";\n\n      for (const line of lines) {\n        if (line.startsWith(\"data:\")) {\n          const jsonStr = line.substring(5).trim();\n          try {\n            const jsonData = JSON.parse(jsonStr);\n\n            // Callback progress information\n            onProgress(jsonData);\n\n            // If it is file processing information, save file description\n            if (\n              jsonData.type === \"file_processed\" &&\n              jsonData.filename &&\n              jsonData.description\n            ) {\n              fileDescriptions[jsonData.filename] = jsonData.description;\n            }\n\n            // If it is a completion message, record the final query\n            if (jsonData.type === \"complete\") {\n              finalQuery = jsonData.final_query;\n            }\n          } catch (e) {\n            log.error(\n              t(\"chatPreprocess.parsingPreprocessDataFailed\"),\n              e,\n              jsonStr\n            );\n          }\n        }\n      }\n    }\n\n    return { finalQuery, success: true, fileDescriptions };\n  } catch (error) {\n    log.error(t(\"chatPreprocess.filePreprocessingFailed\"), error);\n    return {\n      finalQuery: content,\n      success: false,\n      error: error instanceof Error ? (error as Error).message : String(error),\n    };\n  }\n  */\n};\n\n/**\n * Create thinking step\n * @param message Message to display\n * @returns Thinking step object\n */\nexport const createThinkingStep = (t: any, message?: string): AgentStep => {\n  const displayMessage = message || t(\"chatPreprocess.parsingFile\");\n  return {\n    id: `thinking-${Date.now()}`,\n    title: t(\"chatPreprocess.thinking\"),\n    content: displayMessage,\n    expanded: true,\n    thinking: { content: displayMessage, expanded: true },\n    code: { content: \"\", expanded: false },\n    output: { content: \"\", expanded: false },\n    metrics: \"\",\n    contents: [],\n  };\n};\n\n/**\n * Handle file upload\n * @param file Uploaded file\n * @param setFileUrls Callback function to set file URL\n * @returns File ID\n */\nexport const handleFileUpload = (\n  file: File,\n  setFileUrls: React.Dispatch<React.SetStateAction<Record<string, string>>>,\n  t: any\n): string => {\n  const fileId = `file-${Date.now()}-${Math.random()\n    .toString(36)\n    .substring(7)}`;\n\n  // If it is not an image type, create a file preview URL\n  if (!file.type.startsWith(\"image/\")) {\n    const fileUrl = URL.createObjectURL(file);\n    setFileUrls((prev) => ({ ...prev, [fileId]: fileUrl }));\n  }\n\n  return fileId;\n};\n\n/**\n * Handle image upload\n * @param file Uploaded image file\n */\nexport const handleImageUpload = (file: File, t: any): void => {};\n\n/**\n * Upload attachments to storage service\n * @param attachments Attachment list\n * @returns Uploaded file URLs and object names\n */\nexport const uploadAttachments = async (\n  attachments: FilePreview[],\n  t: any\n): Promise<{\n  uploadedFileUrls: Record<string, string>;\n  objectNames: Record<string, string>;\n  error?: string;\n}> => {\n  if (attachments.length === 0) {\n    return { uploadedFileUrls: {}, objectNames: {} };\n  }\n\n  try {\n    // Upload all files to storage service\n    const uploadResult = await storageService.uploadFiles(\n      attachments.map((attachment) => attachment.file)\n    );\n\n    // Handle upload results\n    const uploadedFileUrls: Record<string, string> = {};\n    const objectNames: Record<string, string> = {};\n\n    if (uploadResult.success_count > 0) {\n      uploadResult.results.forEach((result) => {\n        if (result.success) {\n          uploadedFileUrls[result.file_name] = result.url;\n          objectNames[result.file_name] = result.object_name;\n        }\n      });\n    }\n\n    return { uploadedFileUrls, objectNames };\n  } catch (error) {\n    log.error(t(\"chatPreprocess.fileUploadFailed\"), error);\n    return {\n      uploadedFileUrls: {},\n      objectNames: {},\n      error: error instanceof Error ? error.message : String(error),\n    };\n  }\n};\n\n/**\n * Create message attachment objects from attachment list\n * @param attachments Attachment list\n * @param uploadedFileUrls Uploaded file URLs\n * @param fileUrls File URL mapping\n * @returns Message attachment object array\n */\nexport const createMessageAttachments = (\n  attachments: FilePreview[],\n  uploadedFileUrls: Record<string, string>,\n  fileUrls: Record<string, string>\n): { type: string; name: string; size: number; url?: string }[] => {\n  return attachments.map((attachment) => ({\n    type: attachment.type,\n    name: attachment.file.name,\n    size: attachment.file.size,\n    url:\n      uploadedFileUrls[attachment.file.name] ||\n      (attachment.type === \"image\"\n        ? attachment.previewUrl\n        : fileUrls[attachment.id]),\n  }));\n};\n\n/**\n * Clean up attachment URLs\n * @param attachments Attachment list\n * @param fileUrls File URL mapping\n */\nexport const cleanupAttachmentUrls = (\n  attachments: FilePreview[],\n  fileUrls: Record<string, string>\n): void => {\n  // Clean up attachment preview URLs\n  attachments.forEach((attachment) => {\n    if (attachment.previewUrl) {\n      URL.revokeObjectURL(attachment.previewUrl);\n    }\n  });\n\n  // Clean up other file URLs\n  Object.values(fileUrls).forEach((url) => {\n    URL.revokeObjectURL(url);\n  });\n};\n"
  },
  {
    "path": "frontend/app/[locale]/chat/internal/extractMsgFromHistoryResponse.tsx",
    "content": "\"use client\";\n\nimport { chatConfig, MESSAGE_ROLES } from \"@/const/chatConfig\";\nimport {\n  ApiMessage,\n  SearchResult,\n  AgentStep,\n  ApiMessageItem,\n  ChatMessageType,\n  MinioFileItem,\n} from \"@/types/chat\";\nimport log from \"@/lib/logger\";\n\n// function: process the user break tag\nconst processSpecialTag = (content: string, t: any): string => {\n  if (!content || typeof content !== \"string\") {\n    return content;\n  }\n\n  // check if the content is equal to <user_break> tag\n  if (content == \"<user_break>\") {\n    // replace the content with the corresponding natural language according to the current language environment\n    const userBreakMessage = t(\"chatStreamHandler.userInterrupted\");\n    return userBreakMessage;\n  }\n\n  return content;\n};\n\nexport function extractAssistantMsgFromResponse(\n  dialog_msg: ApiMessage,\n  index: number,\n  create_time: number,\n  t: any\n) {\n  let searchResultsContent: SearchResult[] = [];\n  if (\n    dialog_msg.search &&\n    Array.isArray(dialog_msg.search) &&\n    dialog_msg.search.length > 0\n  ) {\n    searchResultsContent = dialog_msg.search.map((item) => ({\n      title: item.title || t(\"extractMsg.unknownTitle\"),\n      url: item.url || \"#\",\n      text: item.text || t(\"extractMsg.noContentDescription\"),\n      published_date: item.published_date || \"\",\n      source_type: item.source_type || \"\",\n      filename: item.filename || \"\",\n      score: typeof item.score === \"number\" ? item.score : undefined,\n      score_details: item.score_details || {},\n      tool_sign: item.tool_sign || \"\",\n      cite_index: typeof item.cite_index === \"number\" ? item.cite_index : -1,\n    }));\n  }\n\n  // handle images\n  let imagesContent: string[] = [];\n  if (\n    dialog_msg.picture &&\n    Array.isArray(dialog_msg.picture) &&\n    dialog_msg.picture.length > 0\n  ) {\n    imagesContent = dialog_msg.picture;\n  }\n\n  // extract the content of the Message\n  let finalAnswer = \"\";\n  let steps: AgentStep[] = [];\n  if (dialog_msg.message && Array.isArray(dialog_msg.message)) {\n    dialog_msg.message.forEach((msg: ApiMessageItem) => {\n      switch (msg.type) {\n        case chatConfig.messageTypes.FINAL_ANSWER: {\n          // process the final_answer content and identify the user break tag\n          finalAnswer += processSpecialTag(msg.content, t);\n          break;\n        }\n\n        case chatConfig.messageTypes.STEP_COUNT: {\n          // create a new step\n          steps.push({\n            id: `step-${steps.length + 1}`,\n            title: msg.content.trim(),\n            content: \"\",\n            expanded: false,\n            contents: [],\n            metrics: \"\",\n            thinking: { content: \"\", expanded: false },\n            code: { content: \"\", expanded: false },\n            output: { content: \"\", expanded: false },\n          });\n          break;\n        }\n\n        case chatConfig.messageTypes.MODEL_OUTPUT_THINKING: {\n          const currentStep = steps[steps.length - 1];\n          if (currentStep) {\n            const contentId = `model-${Date.now()}-${Math.random()\n              .toString(36)\n              .substring(2, 7)}`;\n            currentStep.contents.push({\n              id: contentId,\n              type: \"model_output\",\n              subType: \"thinking\",\n              content: msg.content,\n              expanded: true,\n              timestamp: Date.now(),\n            });\n          }\n          break;\n        }\n\n        case chatConfig.messageTypes.EXECUTION_LOGS: {\n          const currentStep = steps[steps.length - 1];\n          if (currentStep) {\n            // create a new execution output\n            const contentId = `execution-${Date.now()}-${Math.random()\n              .toString(36)\n              .substring(2, 7)}`;\n\n            currentStep.contents.push({\n              id: contentId,\n              type: \"execution\",\n              content: msg.content,\n              expanded: true,\n              timestamp: Date.now(),\n            });\n          }\n          break;\n        }\n\n        case chatConfig.messageTypes.ERROR: {\n          const currentStep = steps[steps.length - 1];\n          if (currentStep) {\n            // create the error content\n            const contentId = `error-${Date.now()}-${Math.random()\n              .toString(36)\n              .substring(2, 7)}`;\n            currentStep.contents.push({\n              id: contentId,\n              type: \"error\",\n              content: msg.content,\n              expanded: true,\n              timestamp: Date.now(),\n            });\n          }\n          break;\n        }\n\n        case chatConfig.messageTypes.SEARCH_CONTENT_PLACEHOLDER: {\n          const currentStep = steps[steps.length - 1];\n          if (currentStep) {\n            try {\n              // parse placeholder content to get unit_id\n              const placeholderData = JSON.parse(msg.content);\n              const unitId = placeholderData.unit_id;\n\n              if (\n                unitId &&\n                dialog_msg.search_unit_id &&\n                dialog_msg.search_unit_id[unitId.toString()]\n              ) {\n                // get the corresponding search results according to unit_id\n                const unitSearchResults =\n                  dialog_msg.search_unit_id[unitId.toString()];\n\n                // create the JSON string of search content\n                const searchContent = JSON.stringify(unitSearchResults);\n\n                // add the search content as a search_content type message\n                const contentId = `search-content-${Date.now()}-${Math.random()\n                  .toString(36)\n                  .substring(2, 7)}`;\n                currentStep.contents.push({\n                  id: contentId,\n                  type: \"search_content\",\n                  content: searchContent,\n                  expanded: true,\n                  timestamp: Date.now(),\n                });\n              }\n            } catch (e) {\n              log.error(t(\"extractMsg.cannotParseSearchPlaceholder\"), e);\n            }\n          }\n          break;\n        }\n\n        case chatConfig.messageTypes.TOKEN_COUNT: {\n          const currentStep = steps[steps.length - 1];\n          if (currentStep) {\n            currentStep.metrics = msg.content;\n          }\n          break;\n        }\n\n        case chatConfig.messageTypes.CARD: {\n          const currentStep = steps[steps.length - 1];\n          if (currentStep) {\n            // create the card content\n            const contentId = `card-${Date.now()}-${Math.random()\n              .toString(36)\n              .substring(2, 7)}`;\n            currentStep.contents.push({\n              id: contentId,\n              type: \"card\",\n              content: msg.content,\n              expanded: true,\n              timestamp: Date.now(),\n            });\n          }\n          break;\n        }\n\n        case chatConfig.messageTypes.TOOL: {\n          const currentStep = steps[steps.length - 1];\n          if (currentStep) {\n            // create the tool call content\n            const contentId = `tool-${Date.now()}-${Math.random()\n              .toString(36)\n              .substring(2, 7)}`;\n            currentStep.contents.push({\n              id: contentId,\n              type: \"executing\", // use the existing executing type to represent the tool call\n              content: msg.content,\n              expanded: true,\n              timestamp: Date.now(),\n            });\n          }\n          break;\n        }\n\n        default:\n          // handle other types of messages\n          break;\n      }\n    });\n  }\n\n  // create the formatted assistant message\n  const formattedAssistantMsg: ChatMessageType = {\n    id: `assistant-${index}-${Date.now()}`,\n    role: MESSAGE_ROLES.ASSISTANT,\n    message_id: dialog_msg.message_id,\n    content: \"\",\n    opinion_flag: dialog_msg.opinion_flag,\n    timestamp: new Date(create_time),\n    steps: steps,\n    finalAnswer: finalAnswer,\n    agentRun: \"\",\n    isComplete: true,\n    showRawContent: false,\n    searchResults: searchResultsContent,\n    images: imagesContent,\n    attachments: undefined,\n  };\n  return formattedAssistantMsg;\n}\n\nexport function extractUserMsgFromResponse(\n  dialog_msg: ApiMessage,\n  index: number,\n  create_time: number\n) {\n  let userContent = \"\";\n  if (Array.isArray(dialog_msg.message)) {\n    const stringMessage = dialog_msg.message.find(\n      (m: { type: string; content: string }) => m.type === \"string\"\n    );\n    userContent = stringMessage?.content || \"\";\n  } else if (typeof dialog_msg.message === \"string\") {\n    userContent = dialog_msg.message;\n  } else if (dialog_msg.message && typeof dialog_msg.message === \"object\") {\n    const msgObj = dialog_msg.message as { content?: string };\n    userContent = msgObj.content || \"\";\n  }\n\n  // handle the minio_files of the user message\n  let userAttachments: MinioFileItem[] = [];\n  if (\n    dialog_msg.minio_files &&\n    Array.isArray(dialog_msg.minio_files) &&\n    dialog_msg.minio_files.length > 0\n  ) {\n    // handle the minio_files\n    userAttachments = dialog_msg.minio_files.map((item) => {\n      return {\n        type: item.type || \"\",\n        name: item.name || \"\",\n        size: item.size || 0,\n        object_name: item.object_name,\n        url: item.url,\n        description: item.description,\n      };\n    });\n  }\n\n  const formattedUserMsg: ChatMessageType = {\n    id: `user-${index}-${Date.now()}`,\n    role: MESSAGE_ROLES.USER,\n    message_id: dialog_msg.message_id,\n    content: userContent,\n    opinion_flag: dialog_msg.opinion_flag, // user message does not have the like/dislike status\n    timestamp: new Date(create_time),\n    showRawContent: true,\n    isComplete: true,\n    // add the attachments field, no longer use minio_files\n    attachments: userAttachments.length > 0 ? userAttachments : undefined,\n  };\n  return formattedUserMsg;\n}\n"
  },
  {
    "path": "frontend/app/[locale]/chat/page.tsx",
    "content": "\"use client\";\n\nimport { useEffect } from \"react\";\nimport { useAuthorizationContext } from \"@/components/providers/AuthorizationProvider\";\nimport { useDeployment } from \"@/components/providers/deploymentProvider\";\nimport { useConfig } from \"@/hooks/useConfig\";\nimport { ChatInterface } from \"./internal/chatInterface\";\n\n/**\n * ChatContent component - Main chat page content\n * Handles authentication, config loading, and session management for the chat interface\n */\nexport default function ChatContent() {\n  const { appConfig } = useConfig();\n\n  useEffect(() => {\n    if (appConfig?.appName) {\n      document.title = `${appConfig.appName}`;\n    }\n  }, [appConfig?.appName]);\n\n  return (\n    <div className=\"flex h-full w-full flex-col overflow-hidden\">\n      <ChatInterface />\n    </div>\n  );\n}\n"
  },
  {
    "path": "frontend/app/[locale]/chat/streaming/chatStreamFinalMessage.tsx",
    "content": "import React, { useEffect, useRef, useState } from \"react\";\nimport { useTranslation } from \"react-i18next\";\nimport {\n  Copy,\n  Volume2,\n  ChevronRight,\n  Square,\n  Loader2,\n  ThumbsDown,\n  ThumbsUp,\n} from \"lucide-react\";\n\nimport { MarkdownRenderer } from \"@/components/ui/markdownRenderer\";\nimport { Button } from \"antd\";\nimport { Tooltip, TooltipProvider } from \"@/components/ui/tooltip\";\nimport { ChatMessageType } from \"@/types/chat\";\nimport { chatConfig, Opinion } from \"@/const/chatConfig\";\nimport { conversationService } from \"@/services/conversationService\";\nimport { copyToClipboard } from \"@/lib/clipboard\";\nimport log from \"@/lib/logger\";\nimport { AttachmentItem } from \"@/types/chat\";\nimport { MESSAGE_ROLES } from \"@/const/chatConfig\";\nimport { ChatAttachment } from \"../internal/chatAttachment\";\n\ninterface FinalMessageProps {\n  message: ChatMessageType;\n  onSelectMessage?: (messageId: string) => void;\n  isSelected?: boolean;\n  searchResultsCount?: number;\n  imagesCount?: number;\n  onImageClick?: (imageUrl: string) => void;\n  onOpinionChange?: (messageId: number, opinion: Opinion) => void;\n  hideButtons?: boolean;\n  index?: number;\n  currentConversationId?: number;\n  onCitationHover?: () => void;\n}\n\n// TTS playback status\ntype TTSStatus = typeof chatConfig.ttsStatus[keyof typeof chatConfig.ttsStatus];\n\nfunction ChatStreamFinalMessageInner({\n  message,\n  onSelectMessage,\n  isSelected = false,\n  searchResultsCount = 0,\n  imagesCount = 0,\n  onImageClick,\n  onOpinionChange,\n  hideButtons = false,\n  index,\n  currentConversationId,\n  onCitationHover,\n}: FinalMessageProps) {\n  const { t } = useTranslation(\"common\");\n\n  const messageRef = useRef<HTMLDivElement>(null);\n  const [copied, setCopied] = useState(false);\n  const [localOpinion, setLocalOpinion] = useState<string | null>(\n    message.opinion_flag ?? null\n  );\n  const [isVisible, setIsVisible] = useState(false);\n\n  // TTS related states\n  const [ttsStatus, setTtsStatus] = useState<TTSStatus>(chatConfig.ttsStatus.IDLE);\n  const ttsServiceRef = useRef<ReturnType<\n    typeof conversationService.tts.createTTSService\n  > | null>(null);\n\n  // Animation effect - message enters and fades in\n  useEffect(() => {\n    const timer = setTimeout(() => {\n      setIsVisible(true);\n    }, 10);\n    return () => clearTimeout(timer);\n  }, []);\n\n  // Update opinion status\n  useEffect(() => {\n    setLocalOpinion(message.opinion_flag ?? null);\n  }, [message.opinion_flag]);\n\n  // Initialize TTS service\n  useEffect(() => {\n    if (!ttsServiceRef.current) {\n      ttsServiceRef.current = conversationService.tts.createTTSService();\n    }\n\n    return () => {\n      if (ttsServiceRef.current) {\n        ttsServiceRef.current.cleanup();\n        ttsServiceRef.current = null;\n      }\n    };\n  }, []);\n\n  // Copy content to clipboard\n  const handleCopyContent = () => {\n    if (!message.finalAnswer) return;\n\n    copyToClipboard(message.finalAnswer)\n      .then(() => {\n        setCopied(true);\n        setTimeout(() => setCopied(false), 2000);\n      })\n      .catch((err) => {\n        log.error(t(\"chatStreamFinalMessage.copyFailed\"), err);\n      });\n  };\n\n  // Handle thumbs up\n  const handleThumbsUp = async () => {\n    const newOpinion = localOpinion === chatConfig.opinion.POSITIVE ? null : chatConfig.opinion.POSITIVE;\n    setLocalOpinion(newOpinion);\n\n    let messageId = message.message_id;\n\n    // If the message_id does not exist, fetch/obtain it via getMessageId.\n    if (\n      !messageId &&\n      typeof currentConversationId === \"number\" &&\n      typeof index === \"number\"\n    ) {\n      try {\n        messageId = await conversationService.getMessageId(\n          currentConversationId,\n          index\n        );\n      } catch (error) {\n        log.error(t(\"chatStreamFinalMessage.getMessageIdFailed\"), error);\n        return;\n      }\n    }\n\n    if (onOpinionChange && messageId) {\n      onOpinionChange(messageId, newOpinion as Opinion);\n    }\n  };\n\n  // Handle thumbs down\n  const handleThumbsDown = () => {\n    const newOpinion = localOpinion === chatConfig.opinion.NEGATIVE ? null : chatConfig.opinion.NEGATIVE;\n    setLocalOpinion(newOpinion);\n    if (onOpinionChange && message.message_id) {\n      onOpinionChange(message.message_id, newOpinion as Opinion);\n    }\n  };\n\n  // Handle message selection\n  const handleMessageSelect = () => {\n    if (message.id && onSelectMessage) {\n      onSelectMessage(message.id);\n    }\n  };\n\n  // TTS functionality - using service layer\n  const handleTTSPlay = async () => {\n    const contentToPlay = message.finalAnswer || message.content;\n    if (contentToPlay === undefined || !ttsServiceRef.current) return;\n\n    if (ttsStatus === \"playing\") {\n      ttsServiceRef.current.stopAudio();\n      setTtsStatus(chatConfig.ttsStatus.IDLE);\n      return;\n    }\n\n    try {\n      await ttsServiceRef.current.playAudio(contentToPlay, (status) => {\n        setTtsStatus(status);\n      });\n    } catch (error) {\n      setTtsStatus(chatConfig.ttsStatus.ERROR);\n      setTimeout(() => setTtsStatus(chatConfig.ttsStatus.IDLE), 2000);\n    }\n  };\n\n  // Get TTS button icon and status\n  const getTTSButtonContent = () => {\n    switch (ttsStatus) {\n      case chatConfig.ttsStatus.GENERATING:\n        return {\n          icon: <Loader2 className=\"h-4 w-4 animate-spin\" />,\n          tooltip: t(\"chatStreamFinalMessage.generatingAudio\"),\n          className: \"bg-blue-100 text-blue-600 border-blue-200\",\n        };\n      case chatConfig.ttsStatus.PLAYING:\n        return {\n          icon: <Square className=\"h-4 w-4\" />,\n          tooltip: t(\"chatStreamFinalMessage.stopPlaying\"),\n          className: \"bg-red-100 text-red-600 border-red-200\",\n        };\n      case chatConfig.ttsStatus.ERROR:\n        return {\n          icon: <Volume2 className=\"h-4 w-4\" />,\n          tooltip: t(\"chatStreamFinalMessage.audioGenerationFailed\"),\n          className: \"bg-red-100 text-red-600 border-red-200\",\n        };\n      default:\n        return {\n          icon: <Volume2 className=\"h-4 w-4\" />,\n          tooltip: t(\"chatStreamMessage.tts\"),\n          className: \"bg-white hover:bg-gray-100\",\n        };\n    }\n  };\n\n  const ttsButtonContent = getTTSButtonContent();\n\n  return (\n    <div\n      ref={messageRef}\n      className={`flex gap-3 mb-4 transition-all duration-500 ${\n        message.role === MESSAGE_ROLES.USER ? \"flex-row-reverse\" : \"\"\n      } ${\n        !isVisible ? \"opacity-0 translate-y-4\" : \"opacity-100 translate-y-0\"\n      }`}\n    >\n      {/* Message content part */}\n      <div\n        className={`${\n          message.role === MESSAGE_ROLES.USER ? \"flex items-end flex-col w-full\" : \"w-full\"\n        }`}\n      >\n        {/* User message part */}\n        {message.role === MESSAGE_ROLES.USER && (\n          <>\n            {/* Attachment part - placed above text */}\n            {message.attachments && message.attachments.length > 0 && (\n              <div className=\"mb-2 w-full flex justify-end\">\n                <div className=\"max-w-[80%]\">\n                  <ChatAttachment\n                    attachments={message.attachments as AttachmentItem[]}\n                    onImageClick={onImageClick}\n                    className=\"justify-end\" // Align right\n                  />\n                </div>\n              </div>\n            )}\n\n            {/* Text content */}\n            {message.content && (\n              <div\n                className=\"rounded-lg border bg-blue-50 border-blue-100 user-message-container px-3 ml-auto text-normal\"\n                style={{\n                  maxWidth: \"80%\",\n                  wordWrap: \"break-word\",\n                  wordBreak: \"break-word\",\n                  overflowWrap: \"break-word\",\n                }}\n              >\n                <div\n                  className=\"user-message-content whitespace-pre-wrap py-2\"\n                  style={{\n                    wordWrap: \"break-word\",\n                    wordBreak: \"break-word\",\n                    overflowWrap: \"break-word\",\n                    whiteSpace: \"pre-wrap\",\n                    maxWidth: \"100%\",\n                  }}\n                >\n                  {message.content}\n                </div>\n              </div>\n            )}\n          </>\n        )}\n\n        {/* Assistant message part - show final answer or content */}\n        {message.role === MESSAGE_ROLES.ASSISTANT &&\n          (message.finalAnswer || message.content !== undefined) && (\n            <div className=\"bg-white rounded-lg w-full -mt-2\">\n              <MarkdownRenderer\n                content={message.finalAnswer || message.content || \"\"}\n                searchResults={message?.searchResults}\n                onCitationHover={onCitationHover}\n                // For historical messages, content already represents the final answer\n                // when finalAnswer is not present, so enable S3 resolution in both cases.\n                resolveS3Media={Boolean(message.finalAnswer || message.content)}\n              />\n\n              {/* Button group - only show when hideButtons is false and message is complete */}\n              {!hideButtons && message.isComplete && (\n                <div className=\"flex items-center justify-between mt-3\">\n                  {/* Source button */}\n                  <div className=\"flex-1\">\n                    {((message?.searchResults &&\n                      message.searchResults.length > 0) ||\n                      (message?.images && message.images.length > 0)) && (\n                      <div className=\"flex items-center text-xs text-gray-500\">\n                          <Button\n                          className={`flex items-center gap-1 p-1 pl-3 hover:bg-gray-100 rounded transition-all duration-200 border border-gray-200 ${\n                            isSelected ? \"bg-gray-100\" : \"\"\n                          }`}\n                          onClick={handleMessageSelect}\n                          onMouseEnter={() => {\n                            if (onCitationHover) {\n                              onCitationHover();\n                            }\n                          }}\n                        >\n                          <span>\n                            {searchResultsCount > 0 &&\n                              t(\"chatStreamMessage.sources\", {\n                                count: searchResultsCount,\n                              })}\n                            {searchResultsCount > 0 && imagesCount > 0 && \", \"}\n                            {imagesCount > 0 &&\n                              t(\"chatStreamMessage.images\", {\n                                count: imagesCount,\n                              })}\n                          </span>\n                          <ChevronRight className=\"h-4 w-4\" />\n                        </Button>\n                      </div>\n                    )}\n                  </div>\n\n                  {/* Tool button */}\n                  <div className=\"flex items-center space-x-2 mt-1 justify-end\">\n                    <TooltipProvider>\n                      {/* Copy button */}\n                      <Tooltip\n                        title={\n                          copied\n                            ? t(\"chatStreamMessage.copied\")\n                            : t(\"chatStreamMessage.copyContent\")\n                        }\n                      >\n                        <Button\n                          className={`h-8 w-8 rounded-full bg-white hover:bg-gray-100 transition-all duration-200 shadow-sm ${\n                            copied\n                              ? \"bg-green-100 text-green-600 border-green-200\"\n                              : \"\"\n                          }`}\n                          onClick={handleCopyContent}\n                          disabled={copied}\n                          shape=\"circle\"\n                          size=\"small\"\n                        >\n                          <Copy className=\"h-4 w-4\" />\n                        </Button>\n                      </Tooltip>\n\n                      {/* Thumbs up button */}\n                      <Tooltip\n                        title={\n                          localOpinion === chatConfig.opinion.POSITIVE\n                            ? t(\"chatStreamMessage.cancelLike\")\n                            : t(\"chatStreamMessage.like\")\n                        }\n                      >\n                        <Button\n                          className={`h-8 w-8 rounded-full ${\n                            localOpinion === chatConfig.opinion.POSITIVE\n                              ? \"bg-green-100 text-green-600 border-green-200\"\n                              : \"bg-white hover:bg-gray-100\"\n                          } transition-all duration-200 shadow-sm`}\n                          onClick={handleThumbsUp}\n                          shape=\"circle\"\n                          size=\"small\"\n                        >\n                          <ThumbsUp className=\"h-4 w-4\" />\n                        </Button>\n                      </Tooltip>\n\n                      {/* Thumbs down button */}\n                      <Tooltip\n                        title={\n                          localOpinion === chatConfig.opinion.NEGATIVE\n                            ? t(\"chatStreamMessage.cancelDislike\")\n                            : t(\"chatStreamMessage.dislike\")\n                        }\n                      >\n                        <Button\n                          className={`h-8 w-8 rounded-full ${\n                            localOpinion === chatConfig.opinion.NEGATIVE\n                              ? \"bg-red-100 text-red-600 border-red-200\"\n                              : \"bg-white hover:bg-gray-100\"\n                          } transition-all duration-200 shadow-sm`}\n                          onClick={handleThumbsDown}\n                          shape=\"circle\"\n                          size=\"small\"\n                        >\n                          <ThumbsDown className=\"h-4 w-4\" />\n                        </Button>\n                      </Tooltip>\n\n                      {/* Voice playback button */}\n                      <Tooltip title={ttsButtonContent.tooltip}>\n                        <Button\n                          className={`h-8 w-8 rounded-full ${ttsButtonContent.className} transition-all duration-200 shadow-sm`}\n                          onClick={handleTTSPlay}\n                          disabled={\n                            ttsStatus === \"generating\" ||\n                            (message.finalAnswer === undefined &&\n                              message.content === undefined)\n                          }\n                          shape=\"circle\"\n                          size=\"small\"\n                        >\n                          {ttsButtonContent.icon}\n                        </Button>\n                      </Tooltip>\n                    </TooltipProvider>\n                  </div>\n                </div>\n              )}\n            </div>\n          )}\n      </div>\n    </div>\n  );\n}\n\nfunction areEqualFinalMessage(prev: FinalMessageProps, next: FinalMessageProps): boolean {\n  return (\n    // Message object reference covers content, finalAnswer, isComplete, opinion_flag, attachments, etc.\n    prev.message === next.message &&\n    prev.isSelected === next.isSelected &&\n    prev.searchResultsCount === next.searchResultsCount &&\n    prev.imagesCount === next.imagesCount &&\n    prev.hideButtons === next.hideButtons &&\n    prev.index === next.index &&\n    prev.currentConversationId === next.currentConversationId\n    // Callbacks (onSelectMessage, onOpinionChange, onCitationHover, onImageClick) are intentionally\n    // excluded: they do not affect rendered output and will be stabilized with useCallback (Phase 1.2).\n  );\n}\n\nexport const ChatStreamFinalMessage = React.memo(ChatStreamFinalMessageInner, areEqualFinalMessage);\n"
  },
  {
    "path": "frontend/app/[locale]/chat/streaming/chatStreamHandler.tsx",
    "content": "// Tool function for processing chat streaming response\n\nimport { chatConfig } from \"@/const/chatConfig\";\nimport { ChatMessageType, AgentStep } from \"@/types/chat\";\nimport log from \"@/lib/logger\";\nimport { MESSAGE_ROLES } from \"@/const/chatConfig\";\n\nimport {\n  deduplicateImages,\n  deduplicateSearchResults,\n} from \"../internal/chatHelpers\";\n\n// function: process the user break tag\nconst processUserBreakTag = (content: string, t: any): string => {\n  if (!content || typeof content !== \"string\") {\n    return content;\n  }\n\n  // check if the content is equal to <user_break> tag\n  if (content == \"<user_break>\") {\n    // replace the content with the corresponding natural language according to the current language environment\n    const userBreakMessage = t(\"chatStreamHandler.userInterrupted\");\n    return userBreakMessage;\n  }\n\n  return content;\n};\n\ninterface JsonData {\n  type: string;\n  content: any;\n}\n\n// Processing Streaming Response Data\nexport const handleStreamResponse = async (\n  reader: ReadableStreamDefaultReader<Uint8Array>,\n  setMessages: React.Dispatch<React.SetStateAction<ChatMessageType[]>>,\n  resetTimeout: () => void,\n  stepIdCounter: React.MutableRefObject<number>,\n  setIsSwitchedConversation: React.Dispatch<React.SetStateAction<boolean>>,\n  isNewConversation: boolean,\n  setConversationTitle: (title: string) => void,\n  fetchConversationList: () => Promise<any>,\n  currentConversationId: number,\n  // TODO: Sevice should not be passed but imported\n  conversationService: any,\n  isDebug: boolean = false,\n  t: any\n) => {\n  const decoder = new TextDecoder();\n  let buffer = \"\";\n\n  // Used to accumulate different types of content\n\n  // Create an empty step object\n  let currentStep: AgentStep = {\n    id: ``,\n    title: \"\",\n    content: \"\",\n    expanded: true,\n    contents: [],\n    metrics: \"\",\n    thinking: { content: \"\", expanded: true },\n    code: { content: \"\", expanded: true },\n    output: { content: \"\", expanded: true },\n  };\n\n  // Generate conversation title immediately when stream starts (for new conversations)\n  // This runs in parallel with the streaming response\n  if (isNewConversation) {\n    // Use setTimeout to ensure the user message has been added to state\n    setTimeout(async () => {\n      try {\n        // Get the current messages to find the user's question\n        setMessages((prevMessages) => {\n          const firstUserMessage = prevMessages.find(\n            (msg) => msg.role === MESSAGE_ROLES.USER\n          );\n          if (firstUserMessage?.content) {\n            // Call the generate title from question interface\n            conversationService\n              .generateTitle({\n                conversation_id: currentConversationId,\n                question: firstUserMessage.content,\n              })\n              .then((title: string) => {\n                if (title) {\n                  setConversationTitle(title);\n                }\n                // Update the conversation list\n                fetchConversationList();\n              })\n              .catch((error: Error) => {\n                log.error(\n                  t(\"chatStreamHandler.generateTitleFailed\"),\n                  error\n                );\n              });\n          }\n          return prevMessages;\n        });\n      } catch (error) {\n        log.error(t(\"chatStreamHandler.generateTitleFailed\"), error);\n      }\n    }, 0);\n  }\n\n  let lastContentType:\n    | typeof chatConfig.contentTypes.MODEL_OUTPUT\n    | typeof chatConfig.contentTypes.MODEL_OUTPUT_CODE\n    | typeof chatConfig.contentTypes.PARSING\n    | typeof chatConfig.contentTypes.EXECUTION\n    | typeof chatConfig.contentTypes.AGENT_NEW_RUN\n    | typeof chatConfig.contentTypes.GENERATING_CODE\n    | typeof chatConfig.contentTypes.SEARCH_CONTENT\n    | typeof chatConfig.contentTypes.CARD\n    | typeof chatConfig.contentTypes.MEMORY_SEARCH\n    | typeof chatConfig.contentTypes.PREPROCESS\n    | null = null;\n  let lastModelOutputIndex = -1; // Track the index of the last model output in currentStep.contents\n  let lastCodeOutputIndex = -1; // Track the index of the last code output for proper streaming\n  let searchResultsContent: any[] = [];\n  let allSearchResults: any[] = [];\n  let finalAnswer = \"\";\n\n  try {\n    while (true) {\n      let readResult;\n      try {\n        readResult = await reader.read();\n      } catch (readError: any) {\n        // If read is aborted, break the loop gracefully\n        if (readError?.name === \"AbortError\" || readError?.name === \"AbortSignal\") {\n          break;\n        }\n        throw readError;\n      }\n      const { done, value } = readResult;\n      if (done) break;\n\n      buffer += decoder.decode(value, { stream: true });\n\n      const lines = buffer.split(\"\\n\");\n      buffer = lines.pop() || \"\";\n\n      for (const line of lines) {\n        if (line.startsWith(\"data:\")) {\n          resetTimeout(); // Reset the timeout timer each time new data is received\n          const jsonStr = line.substring(5).trim();\n\n          try {\n            // Parse the JSON data received each time\n            const jsonData: JsonData = JSON.parse(jsonStr);\n\n            if (jsonData.type && jsonData.content) {\n              const messageType = jsonData.type;\n              const messageContent = jsonData.content;\n\n              // Process different types of messages\n              switch (messageType) {\n                case chatConfig.messageTypes.STEP_COUNT:\n                  // Increment the counter for each new step\n                  stepIdCounter.current += 1;\n\n                  // Create a new step - use the counter and UUID combination to generate a unique ID\n                  currentStep = {\n                    id: `step-${\n                      stepIdCounter.current\n                    }-${Date.now()}-${Math.random()\n                      .toString(36)\n                      .substring(2, 9)}`,\n                    title: messageContent.trim(),\n                    content: \"\",\n                    expanded: true,\n                    contents: [], // Use an array to store all content in order\n                    metrics: \"\",\n                    thinking: { content: \"\", expanded: true },\n                    code: { content: \"\", expanded: true },\n                    output: { content: \"\", expanded: true },\n                  };\n\n                  // Reset status tracking variables\n                  lastContentType = null;\n                  lastModelOutputIndex = -1;\n                  lastCodeOutputIndex = -1;\n\n                  break;\n\n                case chatConfig.messageTypes.TOKEN_COUNT:\n                  // Process token counting logic\n                  currentStep.metrics = messageContent;\n                  break;\n\n                case chatConfig.messageTypes.MODEL_OUTPUT:\n                  // Process main model output content\n\n                  // If there's no currentStep, create one for simple responses\n                  if (!currentStep) {\n                    currentStep = {\n                      id: `step-simple-${Date.now()}-${Math.random()\n                        .toString(36)\n                        .substring(2, 9)}`,\n                      title: \"AI Response\",\n                      content: \"\",\n                      expanded: true,\n                      contents: [],\n                      metrics: \"\",\n                      thinking: { content: \"\", expanded: true },\n                      code: { content: \"\", expanded: true },\n                      output: { content: \"\", expanded: true },\n                    };\n                  }\n\n                  // If the last streaming output is model output, append\n                  if (\n                    lastContentType === chatConfig.contentTypes.MODEL_OUTPUT &&\n                    lastModelOutputIndex >= 0\n                  ) {\n                    const modelOutput =\n                      currentStep.contents[lastModelOutputIndex];\n                    modelOutput.content = modelOutput.content + messageContent;\n                  } else {\n                    // Otherwise, create new model output content\n                    currentStep.contents.push({\n                      id: `model-${Date.now()}-${Math.random()\n                        .toString(36)\n                        .substring(2, 7)}`,\n                      type: chatConfig.messageTypes.MODEL_OUTPUT,\n                      content: messageContent,\n                      expanded: true,\n                      timestamp: Date.now(),\n                    });\n                    lastModelOutputIndex = currentStep.contents.length - 1;\n                  }\n\n                  // Update the last processed content type\n                  lastContentType = chatConfig.contentTypes.MODEL_OUTPUT;\n                  break;\n\n                case chatConfig.messageTypes.MODEL_OUTPUT_THINKING:\n                  // Merge consecutive thinking chunks; create new group only when previous subType is not \"thinking\"\n                  if (!currentStep) {\n                    currentStep = {\n                      id: `step-thinking-${Date.now()}-${Math.random()\n                        .toString(36)\n                        .substring(2, 9)}`,\n                      title: \"AI Thinking\",\n                      content: \"\",\n                      expanded: true,\n                      contents: [],\n                      metrics: \"\",\n                      thinking: { content: \"\", expanded: true },\n                      code: { content: \"\", expanded: true },\n                      output: { content: \"\", expanded: true },\n                    };\n                  }\n\n                  const shouldAppendThinking =\n                    lastContentType === chatConfig.contentTypes.MODEL_OUTPUT &&\n                    lastModelOutputIndex >= 0 &&\n                    currentStep.contents[lastModelOutputIndex] &&\n                    currentStep.contents[lastModelOutputIndex].subType ===\n                      \"thinking\";\n\n                  if (shouldAppendThinking) {\n                    // Append to existing thinking content\n                    currentStep.contents[lastModelOutputIndex].content +=\n                      messageContent;\n                  } else {\n                    // Create a new thinking content group\n                    currentStep.contents.push({\n                      id: `thinking-${Date.now()}-${Math.random()\n                        .toString(36)\n                        .substring(2, 7)}`,\n                      type: chatConfig.messageTypes.MODEL_OUTPUT,\n                      subType: \"thinking\",\n                      content: messageContent,\n                      expanded: true,\n                      timestamp: Date.now(),\n                    });\n                    lastModelOutputIndex = currentStep.contents.length - 1;\n                  }\n\n                  lastContentType = chatConfig.contentTypes.MODEL_OUTPUT;\n                  break;\n\n                case chatConfig.messageTypes.MODEL_OUTPUT_DEEP_THINKING:\n                  // Consecutive deep_thinking chunks should be combined until a thinking chunk arrives\n                  if (!currentStep) {\n                    currentStep = {\n                      id: `step-thinking-${Date.now()}-${Math.random()\n                        .toString(36)\n                        .substring(2, 9)}`,\n                      title: \"AI Thinking\",\n                      content: \"\",\n                      expanded: true,\n                      contents: [],\n                      metrics: \"\",\n                      thinking: { content: \"\", expanded: true },\n                      code: { content: \"\", expanded: true },\n                      output: { content: \"\", expanded: true },\n                    };\n                  }\n\n                  const shouldAppendDeep =\n                    lastContentType === chatConfig.contentTypes.MODEL_OUTPUT &&\n                    lastModelOutputIndex >= 0 &&\n                    currentStep.contents[lastModelOutputIndex] &&\n                    currentStep.contents[lastModelOutputIndex].subType ===\n                      \"deep_thinking\";\n\n                  if (shouldAppendDeep) {\n                    // Append to existing deep_thinking content\n                    currentStep.contents[lastModelOutputIndex].content +=\n                      messageContent;\n                  } else {\n                    // Create a new deep_thinking content group\n                    currentStep.contents.push({\n                      id: `deep-thinking-${Date.now()}-${Math.random()\n                        .toString(36)\n                        .substring(2, 7)}`,\n                      type: chatConfig.messageTypes.MODEL_OUTPUT,\n                      subType: \"deep_thinking\",\n                      content: messageContent,\n                      expanded: true,\n                      timestamp: Date.now(),\n                    });\n                    lastModelOutputIndex = currentStep.contents.length - 1;\n                  }\n\n                  lastContentType = chatConfig.contentTypes.MODEL_OUTPUT;\n                  break;\n\n                case chatConfig.messageTypes.MODEL_OUTPUT_CODE:\n                  // Process code generation\n                  // If there's no currentStep, create one\n                  if (!currentStep) {\n                    currentStep = {\n                      id: `step-code-${Date.now()}-${Math.random()\n                        .toString(36)\n                        .substring(2, 9)}`,\n                      title: \"Code Generation\",\n                      content: \"\",\n                      expanded: true,\n                      contents: [],\n                      metrics: \"\",\n                      thinking: { content: \"\", expanded: true },\n                      code: { content: \"\", expanded: true },\n                      output: { content: \"\", expanded: true },\n                    };\n                  }\n\n                  if (isDebug) {\n                    // In debug mode, use MODEL_OUTPUT_CODE type for streaming output\n                    let processedContent = messageContent;\n\n                    // Check if we should append to existing code content\n                    // Only append if the last content type was MODEL_OUTPUT_CODE and we have a valid index\n                    const shouldAppendCode =\n                      lastContentType === chatConfig.contentTypes.MODEL_OUTPUT_CODE &&\n                      lastCodeOutputIndex >= 0 &&\n                      currentStep.contents[lastCodeOutputIndex] &&\n                      currentStep.contents[lastCodeOutputIndex].type ===\n                        chatConfig.messageTypes.MODEL_OUTPUT_CODE;\n\n                    if (shouldAppendCode) {\n                      const codeOutput =\n                        currentStep.contents[lastCodeOutputIndex];\n                      const codePrefix = t(\"chatStreamHandler.codePrefix\");\n\n                      // In append mode, also check for prefix in case it wasn't removed before\n                      if (\n                        codeOutput.content.includes(codePrefix) &&\n                        processedContent.trim()\n                      ) {\n                        // Clean existing content\n                        codeOutput.content = codeOutput.content.replace(\n                          new RegExp(`^(${codePrefix}|代码|Code)[：:]\\\\s*`, \"i\"),\n                          \"\"\n                        );\n                      }\n\n                      // Directly append the new content\n                      let newContent = codeOutput.content + processedContent;\n                      // Remove incomplete \"<end\" suffix if present (streaming artifact)\n                      if (newContent.endsWith(\"<end\")) {\n                        newContent = newContent.slice(0, -4);\n                      }\n                      codeOutput.content = newContent;\n                    } else {\n                      // Create new code content with MODEL_OUTPUT_CODE type\n                      // Remove \"代码：\" or \"Code:\" prefix if present at the start\n                      const codePrefix = t(\"chatStreamHandler.codePrefix\");\n                      if (processedContent.startsWith(codePrefix)) {\n                        processedContent = processedContent.substring(\n                          codePrefix.length\n                        );\n                      }\n                      // Also handle Chinese and English variants directly\n                      processedContent = processedContent.replace(/^(代码|Code)[：:]\\s*/i, \"\");\n                      \n                      // Remove incomplete \"<end\" suffix if present\n                      if (processedContent.endsWith(\"<end\")) {\n                        processedContent = processedContent.slice(0, -4);\n                      }\n                      \n                      currentStep.contents.push({\n                        id: `model-code-${Date.now()}-${Math.random()\n                          .toString(36)\n                          .substring(2, 7)}`,\n                        type: chatConfig.messageTypes.MODEL_OUTPUT_CODE,\n                        content: processedContent,\n                        expanded: true,\n                        timestamp: Date.now(),\n                      });\n                      // Track the new code content index\n                      lastCodeOutputIndex = currentStep.contents.length - 1;\n                    }\n\n                    // Update the last processed content type to MODEL_OUTPUT_CODE\n                    lastContentType = chatConfig.contentTypes.MODEL_OUTPUT_CODE;\n                  } else {\n                    // In non-debug mode, use the original logic - add a stable loading prompt\n                    // Check if there is a code generation prompt\n                    if (lastContentType === chatConfig.contentTypes.GENERATING_CODE) {\n                      break;\n                    }\n\n                    // If it does not exist, add one\n                    const newGeneratingItem = {\n                      id: `generating-code-${stepIdCounter.current}`,\n                      type: chatConfig.messageTypes.GENERATING_CODE,\n                      content: t(\"chatStreamHandler.callingTool\"),\n                      expanded: true,\n                      timestamp: Date.now(),\n                      isLoading: true,\n                    };\n\n                    currentStep.contents.push(newGeneratingItem);\n\n                    // Mark as code generation type\n                    lastContentType = chatConfig.contentTypes.GENERATING_CODE;\n                  }\n                  break;\n\n                case chatConfig.messageTypes.CARD:\n                  // If there's no currentStep, create one\n                  if (!currentStep) {\n                    currentStep = {\n                      id: `step-card-${Date.now()}-${Math.random()\n                        .toString(36)\n                        .substring(2, 9)}`,\n                      title: \"Card Content\",\n                      content: \"\",\n                      expanded: true,\n                      contents: [],\n                      metrics: \"\",\n                      thinking: { content: \"\", expanded: true },\n                      code: { content: \"\", expanded: true },\n                      output: { content: \"\", expanded: true },\n                    };\n                  }\n\n                  // Process card content\n                  currentStep.contents.push({\n                    id: `card-${Date.now()}-${Math.random()\n                      .toString(36)\n                      .substring(2, 7)}`,\n                    type: chatConfig.messageTypes.CARD,\n                    content: messageContent,\n                    expanded: true,\n                    timestamp: Date.now(),\n                  });\n\n                  // Update the last processed content type\n                  lastContentType = chatConfig.contentTypes.CARD;\n                  break;\n\n                case chatConfig.messageTypes.SEARCH_CONTENT:\n                  try {\n                    // Parse search result content\n                    const searchResults = JSON.parse(messageContent);\n                    if (Array.isArray(searchResults)) {\n                      // Modify mapping to match the SearchResult type at the component level\n                      const newSearchResults = searchResults.map((item) => ({\n                        title: item.title || t(\"chatRightPanel.unknownTitle\"),\n                        url: item.url || \"#\",\n                        text:\n                          item.text || t(\"chatRightPanel.noContentDescription\"),\n                        published_date: item.published_date || \"\",\n                        source_type: item.source_type || \"\",\n                        filename: item.filename || \"\",\n                        score:\n                          typeof item.score === \"number\"\n                            ? item.score\n                            : undefined,\n                        score_details: item.score_details || {},\n                        tool_sign: item.tool_sign || \"\",\n                        cite_index:\n                          typeof item.cite_index === \"number\"\n                            ? item.cite_index\n                            : -1,\n                      }));\n\n                      // Accumulate search results\n                      searchResultsContent = [\n                        ...searchResultsContent,\n                        ...newSearchResults,\n                      ];\n                      allSearchResults = [\n                        ...allSearchResults,\n                        ...newSearchResults,\n                      ];\n\n                      // If there's no currentStep, create one\n                      if (!currentStep) {\n                        currentStep = {\n                          id: `step-search-${Date.now()}-${Math.random()\n                            .toString(36)\n                            .substring(2, 9)}`,\n                          title: \"Search Results\",\n                          content: \"\",\n                          expanded: true,\n                          contents: [],\n                          metrics: \"\",\n                          thinking: { content: \"\", expanded: true },\n                          code: { content: \"\", expanded: true },\n                          output: { content: \"\", expanded: true },\n                        };\n                      }\n\n                      // Add to the current step's contents array\n                      // Add as a search_content type message\n                      currentStep.contents.push({\n                        id: `search-content-${Date.now()}-${Math.random()\n                          .toString(36)\n                          .substring(2, 7)}`,\n                        type: chatConfig.messageTypes.SEARCH_CONTENT,\n                        content: messageContent, // Keep the original JSON string\n                        expanded: true,\n                        timestamp: Date.now(),\n                      });\n\n                      // Update the last processed content type\n                      lastContentType = chatConfig.contentTypes.SEARCH_CONTENT;\n                    }\n\n                    // Update the search results of the current message\n                    setMessages((prev) => {\n                      const recordMessages = [...prev];\n                      const lastMsg = recordMessages[recordMessages.length - 1];\n\n                      // Check if lastMsg exists before accessing its properties\n                      if (!lastMsg) {\n                        return recordMessages;\n                      }\n\n                      // Use the public deduplication function to process search results\n                      if (\n                        searchResultsContent &&\n                        searchResultsContent.length > 0\n                      ) {\n                        const updatedMsg = {\n                          ...lastMsg,\n                          searchResults: deduplicateSearchResults(\n                            lastMsg.searchResults || [],\n                            searchResultsContent\n                          ),\n                        };\n                        recordMessages[recordMessages.length - 1] = updatedMsg;\n                      }\n\n                      return recordMessages;\n                    });\n                  } catch (e) {\n                    log.error(\n                      t(\"chatStreamHandler.parseSearchContentFailed\"),\n                      e\n                    );\n                  }\n                  break;\n\n                case chatConfig.messageTypes.PICTURE_WEB:\n                  try {\n                    // Parse the image data structure\n                    let imageUrls = JSON.parse(messageContent).images_url;\n\n                    if (imageUrls.length > 0) {\n                      // Update the images of the current message\n                      setMessages((prev) => {\n                        const newMessages = [...prev];\n                        const lastMsg = newMessages[newMessages.length - 1];\n\n                        // Check if lastMsg exists before accessing its properties\n                        if (!lastMsg) {\n                          return newMessages;\n                        }\n\n                        // Create a new object reference so React.memo detects the change\n                        const updatedMsg = {\n                          ...lastMsg,\n                          images: deduplicateImages(\n                            lastMsg.images || [],\n                            imageUrls\n                          ),\n                        };\n                        newMessages[newMessages.length - 1] = updatedMsg;\n                        return newMessages;\n                      });\n                    }\n                  } catch (error) {\n                    log.error(\n                      t(\"chatStreamHandler.processImageDataFailed\"),\n                      error\n                    );\n                  }\n                  break;\n\n                case chatConfig.messageTypes.FINAL_ANSWER:\n                  // Accumulate final answer content and process user break tag\n                  finalAnswer += processUserBreakTag(messageContent, t);\n                  break;\n\n                case chatConfig.messageTypes.PARSE:\n                  // Code display message, skip\n                  break;\n\n                case chatConfig.messageTypes.TOOL:\n                  // Only create a new execution prompt if the previous type is not executing\n                  // This keeps the animation effect continuous\n                  if (lastContentType === chatConfig.contentTypes.EXECUTION) {\n                    break;\n                  }\n\n                  // If there's no currentStep, create one\n                  if (!currentStep) {\n                    currentStep = {\n                      id: `step-tool-${Date.now()}-${Math.random()\n                        .toString(36)\n                        .substring(2, 9)}`,\n                      title: \"Tool Execution\",\n                      content: \"\",\n                      expanded: true,\n                      contents: [],\n                      metrics: \"\",\n                      thinking: { content: \"\", expanded: true },\n                      code: { content: \"\", expanded: true },\n                      output: { content: \"\", expanded: true },\n                    };\n                  }\n\n                  // Add temporary content for executing code\n                  currentStep.contents.push({\n                    id: `executing-${Date.now()}-${Math.random()\n                      .toString(36)\n                      .substring(2, 7)}`,\n                    type: chatConfig.messageTypes.EXECUTING,\n                    content: messageContent,\n                    expanded: true,\n                    timestamp: Date.now(),\n                    isLoading: true,\n                  });\n\n                  // Save the original parsing content, but do not display it in the frontend\n                  currentStep.parsingContent = messageContent;\n\n                  // Update the last processed content type\n                  lastContentType = chatConfig.contentTypes.EXECUTION;\n                  break;\n\n                case chatConfig.messageTypes.EXECUTION_LOGS:\n                  // Execution result message, skip\n                  break;\n\n                case chatConfig.messageTypes.AGENT_NEW_RUN:\n                  // If there's no currentStep, create one\n                  if (!currentStep) {\n                    currentStep = {\n                      id: `step-agent-${Date.now()}-${Math.random()\n                        .toString(36)\n                        .substring(2, 9)}`,\n                      title: \"Agent Run\",\n                      content: \"\",\n                      expanded: true,\n                      contents: [],\n                      metrics: \"\",\n                      thinking: { content: \"\", expanded: true },\n                      code: { content: \"\", expanded: true },\n                      output: { content: \"\", expanded: true },\n                    };\n                  }\n                  const content =\n                    messageContent === \"<MCP_START>\"\n                      ? t(\"chatStreamHandler.connectingMcpServer\")\n                      : t(\"chatStreamHandler.thinking\");\n                  // Add a \"Thinking...\" content\n                  currentStep.contents.push({\n                    id: `agent-run-${Date.now()}-${Math.random()\n                      .toString(36)\n                      .substring(2, 7)}`,\n                    type: chatConfig.messageTypes.AGENT_NEW_RUN,\n                    content: content,\n                    expanded: true,\n                    timestamp: Date.now(),\n                  });\n                  break;\n\n                case chatConfig.messageTypes.ERROR:\n                  // If there's no currentStep, create one\n                  if (!currentStep) {\n                    currentStep = {\n                      id: `step-error-${Date.now()}-${Math.random()\n                        .toString(36)\n                        .substring(2, 9)}`,\n                      title: \"Error\",\n                      content: \"\",\n                      expanded: true,\n                      contents: [],\n                      metrics: \"\",\n                      thinking: { content: \"\", expanded: true },\n                      code: { content: \"\", expanded: true },\n                      output: { content: \"\", expanded: true },\n                    };\n                  }\n\n                  // Add error content to the current step's contents array\n                  currentStep.contents.push({\n                    id: `error-${Date.now()}-${Math.random()\n                      .toString(36)\n                      .substring(2, 7)}`,\n                    type: chatConfig.messageTypes.ERROR,\n                    content: messageContent,\n                    expanded: true,\n                    timestamp: Date.now(),\n                  });\n                  break;\n\n                case chatConfig.messageTypes.MEMORY_SEARCH:\n                  // If there's no currentStep, create one\n                  if (!currentStep) {\n                    currentStep = {\n                      id: `step-memory-${Date.now()}-${Math.random()\n                        .toString(36)\n                        .substring(2, 9)}`,\n                      title: \"Memory Search\",\n                      content: \"\",\n                      expanded: true,\n                      contents: [],\n                      metrics: \"\",\n                      thinking: { content: \"\", expanded: true },\n                      code: { content: \"\", expanded: true },\n                      output: { content: \"\", expanded: true },\n                    };\n                  }\n\n                  // Check if there's already a memory_search message to update\n                  const existingMemoryIndex = currentStep.contents.findIndex(\n                    (item) => item.type === chatConfig.messageTypes.MEMORY_SEARCH\n                  );\n\n                  if (existingMemoryIndex >= 0) {\n                    // Update existing memory search message\n                    currentStep.contents[existingMemoryIndex].content =\n                      messageContent;\n                    currentStep.contents[existingMemoryIndex].timestamp =\n                      Date.now();\n                  } else {\n                    // Add new memory search content to the current step's contents array\n                    let memMsg = \"\";\n                    try {\n                      const m = JSON.parse(messageContent);\n                      let txt = m.message || \"\";\n                      switch (txt) {\n                        case \"<MEM_START>\":\n                          m.message = t(\"chatStreamHandler.memoryRetrieving\");\n                          break;\n                        case \"<MEM_DONE>\":\n                          m.message = t(\"chatStreamHandler.memoryRetrieved\");\n                          try {\n                            const evt = new Event(\"nexent:new-memory\");\n                            window.dispatchEvent(evt);\n                          } catch (_) {}\n                          break;\n                        case \"<MEM_FAILED>\":\n                          m.message = t(\"chatStreamHandler.memoryFailed\");\n                          break;\n                        default:\n                          break;\n                      }\n                      memMsg = JSON.stringify(m);\n                    } catch (_) {\n                      memMsg = messageContent;\n                    }\n                    currentStep.contents.push({\n                      id: `memory-search-${Date.now()}-${Math.random()\n                        .toString(36)\n                        .substring(2, 7)}`,\n                      type: chatConfig.messageTypes.MEMORY_SEARCH,\n                      content: memMsg, // translated JSON string\n                      expanded: true,\n                      timestamp: Date.now(),\n                    });\n                  }\n\n                  // Update the last processed content type\n                  lastContentType = \"memory_search\";\n                  break;\n\n                case chatConfig.contentTypes.PREPROCESS:\n                  // If there's no currentStep, create one\n                  if (!currentStep) {\n                    currentStep = {\n                      id: `step-preprocess-${Date.now()}-${Math.random().toString(36).substring(2, 9)}`,\n                      title: \"File Preprocessing\",\n                      content: \"\",\n                      expanded: true,\n                      contents: [],\n                      metrics: \"\",\n                      thinking: { content: \"\", expanded: true },\n                      code: { content: \"\", expanded: true },\n                      output: { content: \"\", expanded: true }\n                    };\n                  }\n\n                  const normalizedPreprocessData = {\n                    id: `preprocess-${Date.now()}-${Math.random().toString(36).substring(2, 7)}`,\n                    type: chatConfig.contentTypes.PREPROCESS,\n                    content: messageContent,\n                    expanded: true,\n                    timestamp: Date.now()\n                  };\n\n                  currentStep.contents.push(normalizedPreprocessData);\n\n                  // Update the last processed content type\n                  lastContentType = chatConfig.contentTypes.PREPROCESS;\n                  break;\n\n                default:\n                  // Process other types of messages\n                  break;\n              }\n\n              // Update message content, display in real time\n              setMessages((prev) => {\n                const newMessages = [...prev];\n                const lastMsg = newMessages[newMessages.length - 1];\n\n                if (lastMsg && lastMsg.role === MESSAGE_ROLES.ASSISTANT) {\n                  // Create a new object reference so React.memo detects the change\n                  const updatedMsg = { ...lastMsg };\n\n                  // Update the current step\n                  if (currentStep) {\n                    const steps = updatedMsg.steps ? [...updatedMsg.steps] : [];\n\n                    // Find and update existing steps\n                    const stepIndex = steps.findIndex(\n                      (s) => s.id === currentStep?.id\n                    );\n                    if (stepIndex >= 0) {\n                      steps[stepIndex] = currentStep;\n                    } else {\n                      // Only add new steps when there is content\n                      if (\n                        currentStep.contents &&\n                        currentStep.contents.length > 0\n                      ) {\n                        steps.push(currentStep);\n                      }\n                    }\n                    updatedMsg.steps = steps;\n                  }\n\n                  // Update other special content\n                  if (finalAnswer) updatedMsg.finalAnswer = finalAnswer;\n\n                  newMessages[newMessages.length - 1] = updatedMsg;\n                }\n\n                return newMessages;\n              });\n            }\n          } catch (parseError) {}\n        }\n      }\n    }\n\n    // Process the last line of buffer\n    if (buffer.trim() && buffer.startsWith(\"data:\")) {\n      // Process the last line of data...\n      resetTimeout(); // The last line of data also resets the timeout timer\n      try {\n        const jsonStr = buffer.substring(5).trim();\n        const jsonData: JsonData = JSON.parse(jsonStr);\n\n        if (jsonData.type && jsonData.content) {\n          const messageType = jsonData.type;\n          const messageContent = jsonData.content;\n\n          // Process the last message, focusing on final_answer and card\n          if (messageType === chatConfig.messageTypes.FINAL_ANSWER) {\n            finalAnswer += messageContent;\n          }\n        }\n      } catch (error) {\n        log.error(t(\"chatStreamHandler.processRemainingDataFailed\"), error);\n      }\n    }\n\n    // Mark message as complete, and check all steps again to prevent duplicates\n    setMessages((prev) => {\n      const newMessages = [...prev];\n      const lastMsg = newMessages[newMessages.length - 1];\n\n      if (lastMsg && lastMsg.role === MESSAGE_ROLES.ASSISTANT) {\n        // Create a new object reference so React.memo detects the change\n        const updatedMsg = { ...lastMsg, isComplete: true };\n\n        // Check and remove duplicate steps\n        if (updatedMsg.steps && updatedMsg.steps.length > 0) {\n          const uniqueSteps = [];\n          const seenTitles = new Set();\n\n          for (const step of updatedMsg.steps) {\n            // If it is an empty step or there is already a step with the same title, skip it\n            if (\n              !step.contents ||\n              step.contents.length === 0 ||\n              seenTitles.has(step.title.trim())\n            ) {\n              continue;\n            }\n\n            seenTitles.add(step.title.trim());\n            uniqueSteps.push(step);\n          }\n\n          // Update to the deduplicated step list\n          updatedMsg.steps = uniqueSteps;\n        }\n\n        // Also persist any finalAnswer accumulated in the trailing buffer\n        if (finalAnswer) updatedMsg.finalAnswer = finalAnswer;\n\n        newMessages[newMessages.length - 1] = updatedMsg;\n      }\n\n      return newMessages;\n    });\n\n    // Reset the conversation switch status\n    setIsSwitchedConversation(false);\n  } catch (error) {\n    // Don't log AbortError as it's expected when user stops the stream\n    const err = error as Error;\n    if (err.name !== \"AbortError\") {\n      log.error(t(\"chatStreamHandler.streamResponseError\"), error);\n    }\n    throw error; // Pass the error back to the original function for processing\n  }\n\n  return { finalAnswer };\n};\n"
  },
  {
    "path": "frontend/app/[locale]/chat/streaming/chatStreamMain.tsx",
    "content": "import { useRef, useEffect, useState } from \"react\";\nimport { useTranslation } from \"react-i18next\";\nimport { ChevronDown } from \"lucide-react\";\nimport { motion, AnimatePresence } from \"framer-motion\";\n\nimport { ScrollArea } from \"@/components/ui/scrollArea\";\nimport { Button } from \"antd\";\nimport { MESSAGE_ROLES } from \"@/const/chatConfig\";\nimport { ChatMessageType, ProcessedMessages, ChatStreamMainProps } from \"@/types/chat\";\n\nimport { ChatInput } from \"../components/chatInput\";\nimport { ChatStreamFinalMessage } from \"./chatStreamFinalMessage\";\nimport { TaskWindow } from \"./taskWindow\";\nimport { transformMessagesToTaskMessages } from \"./messageTransformer\";\n\nexport function ChatStreamMain({\n  messages,\n  input,\n  isLoading,\n  isStreaming = false,\n  isLoadingHistoricalConversation = false,\n  conversationLoadError,\n  onInputChange,\n  onSend,\n  onStop,\n  onKeyDown,\n  onSelectMessage,\n  selectedMessageId,\n  onImageClick,\n  attachments,\n  onAttachmentsChange,\n  onFileUpload,\n  onImageUpload,\n  onOpinionChange,\n  currentConversationId,\n  shouldScrollToBottom,\n  selectedAgentId,\n  onAgentSelect,\n  onCitationHover,\n  onScroll,\n}: ChatStreamMainProps) {\n  const { t } = useTranslation();\n  // Animation variants for ChatInput\n  const chatInputVariants = {\n    initial: {\n      opacity: 0,\n      y: 80,\n    },\n    animate: {\n      opacity: 1,\n      y: 0,\n    },\n  };\n\n  const chatInputTransition = {\n    type: \"spring\" as const,\n    stiffness: 300,\n    damping: 80,\n  };\n  const scrollAreaRef = useRef<HTMLDivElement>(null);\n  const chatInputRef = useRef<HTMLDivElement>(null);\n  const [showScrollButton, setShowScrollButton] = useState(false);\n  const [showTopFade, setShowTopFade] = useState(false);\n  const [autoScroll, setAutoScroll] = useState(true);\n  const [chatInputHeight, setChatInputHeight] = useState(130); // Default ChatInput height\n  const [processedMessages, setProcessedMessages] = useState<ProcessedMessages>(\n    {\n      finalMessages: [],\n      taskMessages: [],\n      conversationGroups: new Map(),\n    }\n  );\n  const lastUserMessageIdRef = useRef<string | null>(null);\n  const messagesEndRef = useRef<HTMLDivElement>(null);\n\n  // Monitor ChatInput height changes\n  useEffect(() => {\n    const chatInputElement = chatInputRef.current;\n    if (!chatInputElement) return;\n\n    const resizeObserver = new ResizeObserver((entries) => {\n      for (const entry of entries) {\n        const height = entry.contentRect.height;\n        setChatInputHeight(height);\n      }\n    });\n\n    resizeObserver.observe(chatInputElement);\n\n    // Set initial height\n    setChatInputHeight(chatInputElement.getBoundingClientRect().height);\n\n    return () => {\n      resizeObserver.disconnect();\n    };\n  }, [processedMessages.finalMessages.length]); // Re-observe when messages change (initial vs regular mode)\n\n  // Handle message classification\n  useEffect(() => {\n    const finalMsgs: ChatMessageType[] = [];\n\n    // Track the latest user message ID for scroll behavior\n    messages.forEach((message) => {\n      if (message.role === MESSAGE_ROLES.USER && message.id) {\n        lastUserMessageIdRef.current = message.id;\n      }\n    });\n\n    // Process all messages, distinguish user messages and final answers\n    messages.forEach((message) => {\n      // User messages are directly added to the final message array\n      if (message.role === MESSAGE_ROLES.USER) {\n        finalMsgs.push(message);\n      }\n      // Assistant messages - if there is a final answer or content, add it to the final message array\n      else if (message.role === MESSAGE_ROLES.ASSISTANT) {\n        if (message.finalAnswer || message.content !== undefined) {\n          finalMsgs.push(message);\n        }\n      }\n    });\n\n    // Use unified message transformer (includeCode: false for normal chat mode)\n    const { taskMessages: taskMsgs, conversationGroups } = transformMessagesToTaskMessages(\n      messages,\n      { includeCode: false }\n    );\n\n    setProcessedMessages({\n      finalMessages: finalMsgs,\n      taskMessages: taskMsgs,\n      conversationGroups: conversationGroups,\n    });\n  }, [messages]);\n\n  // Listen for scroll events\n  useEffect(() => {\n    const scrollAreaElement = scrollAreaRef.current?.querySelector(\n      \"[data-radix-scroll-area-viewport]\"\n    );\n\n    if (!scrollAreaElement) return;\n\n    const handleScroll = () => {\n      const { scrollTop, scrollHeight, clientHeight } =\n        scrollAreaElement as HTMLElement;\n      const distanceToBottom = scrollHeight - scrollTop - clientHeight;\n\n      // Show/hide the scroll to bottom button\n      if (distanceToBottom > 100) {\n        setShowScrollButton(true);\n      } else {\n        setShowScrollButton(false);\n      }\n\n      // Show top gradient effect\n      if (scrollTop > 10) {\n        setShowTopFade(true);\n      } else {\n        setShowTopFade(false);\n      }\n\n      // Only if shouldScrollToBottom is false does autoScroll adjust based on user scroll position.\n      if (!shouldScrollToBottom) {\n        if (distanceToBottom < 50) {\n          setAutoScroll(true);\n        } else if (distanceToBottom > 80) {\n          setAutoScroll(false);\n        }\n      }\n\n      // Clear completed conversation indicator when scrolling\n      if (onScroll) {\n        onScroll();\n      }\n    };\n\n    // Add scroll event listener\n    scrollAreaElement.addEventListener(\"scroll\", handleScroll);\n\n    // Execute a check once on initialization\n    handleScroll();\n\n    return () => {\n      scrollAreaElement.removeEventListener(\"scroll\", handleScroll);\n    };\n  }, [shouldScrollToBottom, onScroll]);\n\n  // Scroll to bottom function\n  const scrollToBottom = (smooth = false) => {\n    const scrollAreaElement = scrollAreaRef.current?.querySelector(\n      \"[data-radix-scroll-area-viewport]\"\n    );\n    if (!scrollAreaElement) return;\n\n    // Use setTimeout to ensure scrolling after DOM updates\n    setTimeout(() => {\n      if (scrollAreaElement) {\n        if (smooth) {\n          scrollAreaElement.scrollTo({\n            top: (scrollAreaElement as HTMLElement).scrollHeight,\n            behavior: \"smooth\",\n          });\n        } else {\n          (scrollAreaElement as HTMLElement).scrollTop = (\n            scrollAreaElement as HTMLElement\n          ).scrollHeight;\n        }\n      }\n    }, 0);\n  };\n\n  // Force scroll to bottom when entering history conversation\n  useEffect(() => {\n    if (shouldScrollToBottom && processedMessages.finalMessages.length > 0) {\n      setAutoScroll(true);\n      scrollToBottom(false);\n\n      setTimeout(() => {\n        scrollToBottom(false);\n      }, 300);\n    }\n  }, [shouldScrollToBottom, processedMessages.finalMessages.length]);\n\n  // Scroll to bottom when messages are updated (if user is already at the bottom)\n  useEffect(() => {\n    if (processedMessages.finalMessages.length > 0 && autoScroll) {\n      const scrollAreaElement = scrollAreaRef.current?.querySelector(\n        \"[data-radix-scroll-area-viewport]\"\n      );\n      if (!scrollAreaElement) return;\n\n      const { scrollTop, scrollHeight, clientHeight } =\n        scrollAreaElement as HTMLElement;\n      const distanceToBottom = scrollHeight - scrollTop - clientHeight;\n\n      // When shouldScrollToBottom is true, force scroll to the bottom, regardless of distance.\n      if (shouldScrollToBottom || distanceToBottom < 50) {\n        scrollToBottom();\n      }\n    }\n  }, [\n    processedMessages.finalMessages.length,\n    processedMessages.conversationGroups.size,\n    autoScroll,\n    shouldScrollToBottom,\n  ]);\n\n  // Additional scroll trigger for async content like Mermaid diagrams\n  useEffect(() => {\n    if (processedMessages.finalMessages.length > 0 && autoScroll) {\n      const scrollAreaElement = scrollAreaRef.current?.querySelector(\n        \"[data-radix-scroll-area-viewport]\"\n      );\n      if (!scrollAreaElement) return;\n\n      // Use ResizeObserver to detect when content height changes (e.g., Mermaid diagrams finish rendering)\n      const resizeObserver = new ResizeObserver(() => {\n        const { scrollTop, scrollHeight, clientHeight } =\n          scrollAreaElement as HTMLElement;\n        const distanceToBottom = scrollHeight - scrollTop - clientHeight;\n\n        // Auto-scroll if user is near bottom and content height changed\n        if (distanceToBottom < 100) {\n          scrollToBottom();\n        }\n      });\n\n      resizeObserver.observe(scrollAreaElement);\n\n      // Also use a timeout as fallback for async content\n      const timeoutId = setTimeout(() => {\n        const { scrollTop, scrollHeight, clientHeight } =\n          scrollAreaElement as HTMLElement;\n        const distanceToBottom = scrollHeight - scrollTop - clientHeight;\n\n        if (distanceToBottom < 100) {\n          scrollToBottom();\n        }\n      }, 1000); // Wait 1 second for async content to render\n\n      return () => {\n        resizeObserver.disconnect();\n        clearTimeout(timeoutId);\n      };\n    }\n  }, [processedMessages.finalMessages.length, autoScroll]);\n\n  // Scroll to bottom when task messages are updated\n  useEffect(() => {\n    if (autoScroll) {\n      const scrollAreaElement = scrollAreaRef.current?.querySelector(\n        \"[data-radix-scroll-area-viewport]\"\n      );\n      if (!scrollAreaElement) return;\n\n      const { scrollTop, scrollHeight, clientHeight } =\n        scrollAreaElement as HTMLElement;\n      const distanceToBottom = scrollHeight - scrollTop - clientHeight;\n\n      // When shouldScrollToBottom is true, force scroll to the bottom, regardless of distance.\n      if (shouldScrollToBottom || distanceToBottom < 150) {\n        scrollToBottom();\n      }\n    }\n  }, [\n    processedMessages.taskMessages.length,\n    isStreaming,\n    autoScroll,\n    shouldScrollToBottom,\n  ]);\n\n  return (\n    <div className=\"flex-1 flex flex-col overflow-hidden relative custom-scrollbar bg-white\">\n      {/* Main message area */}\n      <ScrollArea className=\"flex-1 px-4 pt-4 bg-white\" ref={scrollAreaRef}>\n        <div className=\"max-w-3xl mx-auto\">\n          {processedMessages.finalMessages.length === 0 ? (\n            isLoadingHistoricalConversation ? (\n              // when loading historical conversation, show empty area\n              <div className=\"flex flex-col items-center justify-center min-h-[calc(100vh-200px)]\">\n                <div className=\"text-gray-500 text-sm\">\n                  {t(\"chatStreamMain.loadingConversation\")}\n                </div>\n              </div>\n            ) : conversationLoadError ? (\n              // when conversation load error, show error message\n              <div className=\"flex flex-col items-center justify-center min-h-[calc(100vh-200px)]\">\n                  <div className=\"text-center max-w-md\">\n                  <div className=\"text-red-500 text-sm mb-4\">\n                    {t(\"chatStreamMain.loadError\")}\n                  </div>\n                  <div className=\"text-gray-500 text-xs mb-4\">\n                    {conversationLoadError}\n                  </div>\n                  <Button\n                    size=\"small\"\n                    onClick={() => {\n                      // Trigger a page refresh to retry loading\n                      window.location.reload();\n                    }}\n                  >\n                    {t(\"chatStreamMain.retry\")}\n                  </Button>\n                </div>\n              </div>\n            ) : (\n              // when new conversation, show input interface\n              <div className=\"flex flex-col items-center justify-center min-h-[calc(100vh-200px)]\">\n                <div className=\"w-full max-w-3xl\">\n                  <AnimatePresence mode=\"wait\">\n                    <motion.div\n                      key=\"initial-chat-input\"\n                      initial=\"initial\"\n                      animate=\"animate\"\n                      variants={chatInputVariants}\n                      transition={chatInputTransition}\n                      ref={chatInputRef}\n                    >\n                      <ChatInput\n                        input={input}\n                        isLoading={isLoading}\n                        isStreaming={isStreaming}\n                        isInitialMode={true}\n                        onInputChange={onInputChange}\n                        onSend={onSend}\n                        onStop={onStop}\n                        onKeyDown={onKeyDown}\n                        attachments={attachments}\n                        onAttachmentsChange={onAttachmentsChange}\n                        onFileUpload={onFileUpload}\n                        onImageUpload={onImageUpload}\n                        selectedAgentId={selectedAgentId}\n                        onAgentSelect={onAgentSelect}\n                      />\n                    </motion.div>\n                  </AnimatePresence>\n                </div>\n              </div>\n            )\n          ) : (\n            <>\n              {processedMessages.finalMessages.map((message, index) => (\n                <div key={message.id || index} className=\"flex flex-col gap-2\">\n                  <ChatStreamFinalMessage\n                    message={message}\n                    onSelectMessage={onSelectMessage}\n                    isSelected={message.id === selectedMessageId}\n                    searchResultsCount={message?.searchResults?.length || 0}\n                    imagesCount={message?.images?.length || 0}\n                    onImageClick={onImageClick}\n                    onOpinionChange={onOpinionChange}\n                    index={index}\n                    currentConversationId={currentConversationId}\n                    onCitationHover={onCitationHover}\n                  />\n                  {message.role === MESSAGE_ROLES.USER &&\n                    processedMessages.conversationGroups.has(message.id!) && (\n                      <div className=\"transition-all duration-500 opacity-0 translate-y-4 animate-task-window\">\n                        <TaskWindow\n                          messages={\n                            processedMessages.conversationGroups.get(\n                              message.id!\n                            ) || []\n                          }\n                          isStreaming={\n                            isStreaming &&\n                            lastUserMessageIdRef.current === message.id\n                          }\n                        />\n                      </div>\n                    )}\n                </div>\n              ))}\n            </>\n          )}\n          <div ref={messagesEndRef} />\n        </div>\n      </ScrollArea>\n\n      {/* Top fade effect */}\n      {showTopFade && (\n        <div className=\"absolute top-0 left-0 right-0 h-16 pointer-events-none z-10 bg-gradient-to-b from-background to-transparent\"></div>\n      )}\n\n      {/* Scroll to bottom button - dynamically positioned based on ChatInput height */}\n        {showScrollButton && (\n        <Button\n          size=\"small\"\n          shape=\"circle\"\n          className=\"absolute left-1/2 transform -translate-x-1/2 z-20 rounded-full shadow-md bg-background hover:bg-background/90 border border-border h-8 w-8\"\n          style={{\n            // Position the button above the ChatInput with some margin\n            // The ChatInput height changes from 130px (default) to up to 200px+ when textarea expands\n            bottom: `${chatInputHeight-15}px`\n          }}\n          onClick={(e) => {\n            e.preventDefault();\n            e.stopPropagation();\n            scrollToBottom(true);\n          }}\n        >\n          <ChevronDown className=\"h-4 w-4\" />\n        </Button>\n      )}\n\n      {/* Input box in non-initial mode */}\n      {processedMessages.finalMessages.length > 0 && (\n        <AnimatePresence mode=\"wait\">\n          <motion.div\n            key=\"regular-chat-input\"\n            initial=\"initial\"\n            animate=\"animate\"\n            variants={chatInputVariants}\n            transition={chatInputTransition}\n            ref={chatInputRef}\n          >\n            <ChatInput\n              input={input}\n              isLoading={isLoading}\n              isStreaming={isStreaming}\n              onInputChange={onInputChange}\n              onSend={onSend}\n              onStop={onStop}\n              onKeyDown={onKeyDown}\n              attachments={attachments}\n              onAttachmentsChange={onAttachmentsChange}\n              onFileUpload={onFileUpload}\n              onImageUpload={onImageUpload}\n              selectedAgentId={selectedAgentId}\n              onAgentSelect={onAgentSelect}\n            />\n          </motion.div>\n        </AnimatePresence>\n      )}\n\n      {/* Add animation keyframes */}\n      <style jsx global>{`\n        @keyframes taskWindowEnter {\n          to {\n            opacity: 1;\n            transform: translateY(0);\n          }\n        }\n        .animate-task-window {\n          animation: taskWindowEnter 0.5s ease-out forwards;\n        }\n      `}</style>\n    </div>\n  );\n}\n"
  },
  {
    "path": "frontend/app/[locale]/chat/streaming/messageTransformer.ts",
    "content": "import { chatConfig, MESSAGE_ROLES } from \"@/const/chatConfig\";\nimport { ChatMessageType, TaskMessageType } from \"@/types/chat\";\n\n/**\n * Transform chat messages to task messages for TaskWindow rendering\n * @param messages - Array of chat messages to transform\n * @param options - Configuration options\n * @param options.includeCode - Whether to include step.code as separate task messages (for debug mode)\n * @returns Array of task messages grouped by user message ID\n */\nexport function transformMessagesToTaskMessages(\n  messages: ChatMessageType[],\n  options: {\n    includeCode?: boolean;\n  } = {}\n): {\n  taskMessages: TaskMessageType[];\n  conversationGroups: Map<string, TaskMessageType[]>;\n} {\n  const { includeCode = false } = options;\n  const taskMsgs: TaskMessageType[] = [];\n  const conversationGroups = new Map<string, TaskMessageType[]>();\n  const truncationBuffer = new Map<string, TaskMessageType[]>();\n  const processedTruncationIds = new Set<string>();\n\n  // First preprocess, find all user message IDs and initialize task groups\n  messages.forEach((message) => {\n    if (message.role === MESSAGE_ROLES.USER && message.id) {\n      conversationGroups.set(message.id, []);\n      truncationBuffer.set(message.id, []);\n    }\n  });\n\n  let currentUserMsgId: string | null = null;\n\n  // Process all messages\n  messages.forEach((message) => {\n    // User messages - record the ID for associating subsequent tasks\n    if (message.role === MESSAGE_ROLES.USER && message.id) {\n      currentUserMsgId = message.id;\n    }\n    // Assistant messages - extract task messages from steps\n    else if (message.role === MESSAGE_ROLES.ASSISTANT && message.steps && message.steps.length > 0) {\n      message.steps.forEach((step) => {\n        // Process step.contents\n        if (step.contents && step.contents.length > 0) {\n          step.contents.forEach((content: any) => {\n            const taskMsg: TaskMessageType = {\n              id: content.id,\n              role: MESSAGE_ROLES.ASSISTANT,\n              content: content.content,\n              timestamp: new Date(),\n              type: content.type,\n              subType: content.subType,\n              // For preprocess messages, include the full contents array for TaskWindow\n              // For search_content_placeholder messages, include search results from message level\n              _messageContainer: \n                content.type === chatConfig.contentTypes.PREPROCESS \n                  ? { contents: step.contents }\n                  : content.type === chatConfig.messageTypes.SEARCH_CONTENT_PLACEHOLDER && message.searchResults\n                    ? { search: message.searchResults }\n                    : undefined,\n            } as any;\n\n            // Handle truncation messages specially - buffer them instead of adding immediately\n            if (content.type === \"truncation\") {\n              const truncationId = `${content.filename || 'unknown'}_${content.message || ''}_${currentUserMsgId || 'no_user'}`;\n              if (!processedTruncationIds.has(truncationId) && currentUserMsgId && truncationBuffer.has(currentUserMsgId)) {\n                const buffer = truncationBuffer.get(currentUserMsgId) || [];\n                buffer.push(taskMsg);\n                truncationBuffer.set(currentUserMsgId, buffer);\n                processedTruncationIds.add(truncationId);\n              }\n            } else {\n              // For non-truncation messages, add them immediately\n              taskMsgs.push(taskMsg);\n\n              // If there is a related user message, add it to the corresponding task group\n              if (currentUserMsgId && conversationGroups.has(currentUserMsgId)) {\n                const tasks = conversationGroups.get(currentUserMsgId) || [];\n                tasks.push(taskMsg);\n                conversationGroups.set(currentUserMsgId, tasks);\n              }\n            }\n          });\n        }\n\n        // Process step.thinking (if it exists)\n        if (step.thinking && step.thinking.content) {\n          const taskMsg: TaskMessageType = {\n            id: `thinking-${step.id}`,\n            role: MESSAGE_ROLES.ASSISTANT,\n            content: step.thinking.content,\n            timestamp: new Date(),\n            type: chatConfig.messageTypes.MODEL_OUTPUT_THINKING,\n          } as any;\n\n          taskMsgs.push(taskMsg);\n\n          if (currentUserMsgId && conversationGroups.has(currentUserMsgId)) {\n            const tasks = conversationGroups.get(currentUserMsgId) || [];\n            tasks.push(taskMsg);\n            conversationGroups.set(currentUserMsgId, tasks);\n          }\n        }\n\n        // Process step.code (if it exists and includeCode is true)\n        if (includeCode && step.code && step.code.content) {\n          const taskMsg: TaskMessageType = {\n            id: `code-${step.id}`,\n            role: MESSAGE_ROLES.ASSISTANT,\n            content: step.code.content,\n            timestamp: new Date(),\n            type: chatConfig.messageTypes.MODEL_OUTPUT_CODE,\n          } as any;\n\n          taskMsgs.push(taskMsg);\n\n          if (currentUserMsgId && conversationGroups.has(currentUserMsgId)) {\n            const tasks = conversationGroups.get(currentUserMsgId) || [];\n            tasks.push(taskMsg);\n            conversationGroups.set(currentUserMsgId, tasks);\n          }\n        }\n\n        // Process step.output (if it exists)\n        if (step.output && step.output.content) {\n          const taskMsg: TaskMessageType = {\n            id: `output-${step.id}`,\n            role: MESSAGE_ROLES.ASSISTANT,\n            content: step.output.content,\n            timestamp: new Date(),\n            type: chatConfig.messageTypes.TOOL,\n          } as any;\n\n          taskMsgs.push(taskMsg);\n\n          if (currentUserMsgId && conversationGroups.has(currentUserMsgId)) {\n            const tasks = conversationGroups.get(currentUserMsgId) || [];\n            tasks.push(taskMsg);\n            conversationGroups.set(currentUserMsgId, tasks);\n          }\n        }\n      });\n    }\n\n    // Process thinking status (if it exists at message level)\n    if (message.thinking && message.thinking.length > 0) {\n      message.thinking.forEach((thinking, index) => {\n        const taskMsg: TaskMessageType = {\n          id: `thinking-${message.id}-${index}`,\n          role: MESSAGE_ROLES.ASSISTANT,\n          content: thinking.content,\n          timestamp: new Date(),\n          type: chatConfig.messageTypes.MODEL_OUTPUT_THINKING,\n        } as any;\n\n        taskMsgs.push(taskMsg);\n\n        if (currentUserMsgId && conversationGroups.has(currentUserMsgId)) {\n          const tasks = conversationGroups.get(currentUserMsgId) || [];\n          tasks.push(taskMsg);\n          conversationGroups.set(currentUserMsgId, tasks);\n        }\n      });\n    }\n  });\n\n  // Process complete messages and release buffered truncation messages\n  messages.forEach((message) => {\n    if (message.role === MESSAGE_ROLES.ASSISTANT && message.steps) {\n      message.steps.forEach((step) => {\n        if (step.contents && step.contents.length > 0) {\n          step.contents.forEach((content: any) => {\n            if (content.type === \"complete\") {\n              // Find the related user message ID for this complete message\n              let relatedUserMsgId: string | null = null;\n              const messageIndex = messages.indexOf(message);\n              for (let i = messageIndex - 1; i >= 0; i--) {\n                if (messages[i].role === \"user\" && messages[i].id) {\n                  relatedUserMsgId = messages[i].id;\n                  break;\n                }\n              }\n\n              if (relatedUserMsgId && truncationBuffer.has(relatedUserMsgId)) {\n                // Release buffered truncation messages\n                const buffer = truncationBuffer.get(relatedUserMsgId) || [];\n                buffer.forEach((truncationMsg) => {\n                  taskMsgs.push(truncationMsg);\n                  if (conversationGroups.has(relatedUserMsgId!)) {\n                    const tasks = conversationGroups.get(relatedUserMsgId!) || [];\n                    tasks.push(truncationMsg);\n                    conversationGroups.set(relatedUserMsgId!, tasks);\n                  }\n                });\n                truncationBuffer.delete(relatedUserMsgId);\n              }\n            }\n          });\n        }\n      });\n    }\n  });\n\n  // Check and delete empty task groups\n  for (const [key, value] of conversationGroups.entries()) {\n    if (value.length === 0) {\n      conversationGroups.delete(key);\n    }\n  }\n\n  return {\n    taskMessages: taskMsgs,\n    conversationGroups,\n  };\n}\n\n"
  },
  {
    "path": "frontend/app/[locale]/chat/streaming/taskWindow.tsx",
    "content": "import React, { useRef, useEffect, useState } from \"react\";\nimport { useTranslation } from \"react-i18next\";\nimport {\n  Globe,\n  Search,\n  Zap,\n  Bot,\n  Code,\n  FileText,\n  ChevronRight,\n  Wrench,\n} from \"lucide-react\";\n\nimport { ScrollArea } from \"@/components/ui/scrollArea\";\nimport { Button, message as antdMessage } from \"antd\";\nimport { MarkdownRenderer, CodeBlock } from \"@/components/ui/markdownRenderer\";\nimport { chatConfig } from \"@/const/chatConfig\";\nimport {\n  ChatMessageType,\n  TaskMessageType,\n  CardItem,\n  MessageHandler,\n} from \"@/types/chat\";\nimport { useChatTaskMessage } from \"@/hooks/useChatTaskMessage\";\nimport {\n  storageService,\n  extractObjectNameFromUrl,\n} from \"@/services/storageService\";\nimport log from \"@/lib/logger\";\nimport { useConfig } from \"@/hooks/useConfig\";\n\n/**\n * Extract code content and language from model_output_code content\n * Handles both <RUN> and <DISPLAY:language> formats\n * Supports streaming mode where end markers may not be present yet\n * @param content - Raw code content from stream\n * @returns Object with codeContent and language\n */\nconst extractCodeInfo = (\n  content: string\n): { codeContent: string; language: string } => {\n  if (!content || typeof content !== \"string\") {\n    return { codeContent: \"\", language: \"python\" };\n  }\n\n  let processed = content;\n\n  // Remove \"代码：\" or \"Code:\" prefix if present (handle both full-width and half-width colon)\n  processed = processed.replace(/^(代码|Code)[：:]\\s*/i, \"\");\n\n  // 1. Detect and process COMPLETE <DISPLAY:language> format\n  // Match: ```<DISPLAY:python> or ``` <DISPLAY:python>\n  const displayMatch = processed.match(/```\\s*<DISPLAY:(\\w+)>/);\n  if (displayMatch) {\n    const language = displayMatch[1];\n    // Remove the opening marker (handle optional whitespace and newline)\n    processed = processed.replace(/```\\s*<DISPLAY:\\w+>\\s*\\n?/, \"\");\n    // Remove closing marker if present: ```<END_DISPLAY_CODE> or just <END_DISPLAY_CODE>\n    processed = processed.replace(/\\n?```<END_DISPLAY_CODE>[\\s\\S]*$/, \"\");\n    processed = processed.replace(/<END_DISPLAY_CODE>[\\s\\S]*$/, \"\");\n    // Remove trailing \"[已展示给用户]\" or similar text\n    processed = processed.replace(/\\[已展示给用户\\][\\s\\S]*$/, \"\");\n    // Clean up any remaining incomplete markers (for streaming)\n    processed = processed.replace(/\\n?```<END[\\s\\S]*$/, \"\");\n    processed = processed.replace(/<END[\\s\\S]*$/, \"\");\n    // Remove trailing backticks that might be part of incomplete end marker\n    processed = processed.replace(/\\n?```$/, \"\");\n    return { codeContent: processed.trim(), language };\n  }\n\n  // 2. Detect and process COMPLETE <RUN> format (executable code, default to python)\n  const runMatch = processed.match(/```\\s*<RUN>/);\n  if (runMatch) {\n    // Remove the opening marker\n    processed = processed.replace(/```\\s*<RUN>\\s*\\n?/, \"\");\n    // Remove closing marker if present\n    processed = processed.replace(/\\n?```<END_CODE>[\\s\\S]*$/, \"\");\n    processed = processed.replace(/<END_CODE>[\\s\\S]*$/, \"\");\n    // Clean up any remaining incomplete markers (for streaming)\n    processed = processed.replace(/\\n?```<END[\\s\\S]*$/, \"\");\n    processed = processed.replace(/<END[\\s\\S]*$/, \"\");\n    // Remove trailing backticks\n    processed = processed.replace(/\\n?```$/, \"\");\n    return { codeContent: processed.trim(), language: \"python\" };\n  }\n\n  // 3. Handle PARTIAL/INCOMPLETE headers (Streaming)\n  // This is critical for preventing the user from seeing raw tags like \"```<DISPLAY:py\"\n\n  // Case: ```<DISPLAY:py... (Incomplete tag, no closing >)\n  // Or: ```<RUN (Incomplete tag)\n  // Or: ```< (Just started special tag)\n  if (/^```\\s*<[A-Z]*(:[a-z0-9]*)?$/.test(processed)) {\n    // We are strictly inside the header tag. Content is empty.\n    // Try to guess language if possible\n    const langMatch = processed.match(/:(\\w+)$/);\n    return { codeContent: \"\", language: langMatch ? langMatch[1] : \"python\" };\n  }\n\n  // If content contains incomplete markers somewhere else (not at start), try to detect them\n  // This handles cases where backticks might have been stripped or came separately\n  if (processed.includes(\"<DISPLAY:\") || processed.includes(\"<RUN>\")) {\n    const partialDisplayMatch = processed.match(/<DISPLAY:(\\w+)>/);\n    if (partialDisplayMatch) {\n      const language = partialDisplayMatch[1];\n      // Remove all variations of the display marker\n      processed = processed.replace(/```\\s*<DISPLAY:\\w+>\\s*\\n?/g, \"\");\n      processed = processed.replace(/<DISPLAY:\\w+>\\s*\\n?/g, \"\");\n      // Clean up end markers\n      processed = processed.replace(/\\n?```<END[\\s\\S]*$/, \"\");\n      processed = processed.replace(/<END[\\s\\S]*$/, \"\");\n      processed = processed.replace(/\\n?```$/, \"\");\n      return { codeContent: processed.trim(), language };\n    }\n\n    if (processed.includes(\"<RUN>\")) {\n      // Remove all variations of the RUN marker\n      processed = processed.replace(/```\\s*<RUN>\\s*\\n?/g, \"\");\n      processed = processed.replace(/<RUN>\\s*\\n?/g, \"\");\n      // Clean up end markers\n      processed = processed.replace(/\\n?```<END[\\s\\S]*$/, \"\");\n      processed = processed.replace(/<END[\\s\\S]*$/, \"\");\n      processed = processed.replace(/\\n?```$/, \"\");\n      return { codeContent: processed.trim(), language: \"python\" };\n    }\n  }\n\n  // 4. Handle standard markdown block start or ambiguous start\n  // Case: Just ``` or ```\\n\n  // Hide the backticks until we know what's coming, to avoid flashing raw markdown\n  if (/^```\\s*$/.test(processed)) {\n    return { codeContent: \"\", language: \"python\" };\n  }\n\n  // 5. Fallback: Treat as standard markdown code block\n  if (processed.startsWith(\"```\")) {\n    // Check for standard language tag: ```python\n    const standardMatch = processed.match(/^```(\\w+)\\s/);\n    let lang = \"python\";\n    if (standardMatch) {\n      lang = standardMatch[1];\n      processed = processed.replace(/^```\\w+\\s*/, \"\");\n    } else {\n      processed = processed.replace(/^```\\s*/, \"\");\n    }\n\n    // Clean tails\n    processed = processed.replace(/\\n?```$/, \"\");\n    return { codeContent: processed.trim(), language: lang };\n  }\n\n  // Default: treat as python code content\n  return { codeContent: processed.trim(), language: \"python\" };\n};\n\n// Icon mapping dictionary - map strings to corresponding icon components\nconst iconMap: Record<string, React.ReactNode> = {\n  search: <Search size={16} className=\"mr-2\" color=\"#4b5563\" />,\n  bot: <Bot size={16} className=\"mr-2\" color=\"#4b5563\" />,\n  code: <Code size={16} className=\"mr-2\" color=\"#4b5563\" />,\n  file: <FileText size={16} className=\"mr-2\" color=\"#4b5563\" />,\n  globe: <Globe size={16} className=\"mr-2\" color=\"#4b5563\" />,\n  zap: <Zap size={16} className=\"mr-2\" color=\"#4b5563\" />,\n  knowledge: <FileText size={16} className=\"mr-2\" color=\"#4b5563\" />,\n  default: <Wrench size={16} className=\"mr-2\" color=\"#4b5563\" />, // Default icon\n};\n\ntype KnowledgeSiteInfo = {\n  key: string;\n  domain: string;\n  displayName: string;\n  faviconUrl: string;\n  useDefaultIcon: boolean;\n  isKnowledgeBase: boolean;\n  sourceType: string;\n  url: string;\n  filename: string;\n  datamateDatasetId?: string;\n  datamateFileId?: string;\n  datamateBaseUrl?: string;\n  objectName?: string;\n  canOpenWeb: boolean;\n};\n\n// Define the handlers for different types of messages to improve extensibility\nconst messageHandlers: MessageHandler[] = [\n  // Preprocess type processor - handles contents array logic\n  {\n    canHandle: (message) => message.type === chatConfig.contentTypes.PREPROCESS,\n    render: (message, _t) => {\n      // For preprocess messages, display content from contents array if available\n      let displayContent = message.content;\n      if (message.contents && message.contents.length > 0) {\n        // Find the latest preprocess content\n        const preprocessContent = message.contents.find(\n          (content: any) => content.type === chatConfig.contentTypes.PREPROCESS\n        );\n        if (preprocessContent) {\n          displayContent = preprocessContent.content;\n        }\n      }\n\n      return (\n        <div\n          style={{\n            fontFamily:\n              \"-apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif\",\n            fontSize: \"0.875rem\",\n            lineHeight: 1.5,\n            color: \"#6b7280\",\n            fontWeight: 500,\n            borderRadius: \"0.25rem\",\n            paddingTop: \"0.5rem\",\n          }}\n        >\n          <span>{displayContent}</span>\n        </div>\n      );\n    },\n  },\n\n  // Processing type processor - thinking, code generation, code execution\n  {\n    canHandle: (message) =>\n      message.type === chatConfig.messageTypes.AGENT_NEW_RUN ||\n      message.type === chatConfig.messageTypes.GENERATING_CODE ||\n      message.type === chatConfig.messageTypes.EXECUTING ||\n      message.type === chatConfig.messageTypes.MODEL_OUTPUT_THINKING ||\n      message.type === chatConfig.messageTypes.MODEL_OUTPUT_DEEP_THINKING,\n    render: (message, _t) => (\n      <div\n        style={{\n          fontFamily:\n            \"-apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif\",\n          fontSize: \"0.875rem\",\n          lineHeight: 1.5,\n          color: \"#6b7280\",\n          fontWeight: 500,\n          borderRadius: \"0.25rem\",\n          paddingTop: \"0.5rem\",\n        }}\n      >\n        <span>{message.content}</span>\n      </div>\n    ),\n  },\n\n  // Add search_content_placeholder type processor - for history records\n  {\n    canHandle: (message) =>\n      message.type === chatConfig.messageTypes.SEARCH_CONTENT_PLACEHOLDER,\n    render: (message, t, context) => {\n      // Find search results in the message context\n      const messageContainer = message._messageContainer;\n      if (\n        !messageContainer ||\n        !messageContainer.search ||\n        messageContainer.search.length === 0\n      ) {\n        return null;\n      }\n\n      // Build the content for displaying search results\n      const searchResults = messageContainer.search;\n\n      // deduplication logic - based on the combination of URL and filename\n      const uniqueSearchResults = searchResults.filter(\n        (result: any, index: number, array: any[]) => {\n          const currentKey = `${result.url || \"\"}-${result.filename || \"\"}-${\n            result.title || \"\"\n          }`;\n          return (\n            array.findIndex((item: any) => {\n              const itemKey = `${item.url || \"\"}-${item.filename || \"\"}-${\n                item.title || \"\"\n              }`;\n              return itemKey === currentKey;\n            }) === index\n          );\n        }\n      );\n\n      // Process website / knowledge base information for display\n      const siteInfos: KnowledgeSiteInfo[] = uniqueSearchResults.map(\n        (result: any, index: number) => {\n          const pageUrl = result.url || \"\";\n          const filename = result.filename || result.title || \"\";\n          const sourceType = result.source_type || (filename ? \"file\" : \"url\");\n          const scoreDetails = result.score_details || {};\n          const datamateDatasetId =\n            scoreDetails?.datamate_dataset_id || scoreDetails?.dataset_id;\n          const datamateFileId =\n            scoreDetails?.datamate_file_id || scoreDetails?.file_id;\n          const datamateBaseUrl =\n            scoreDetails?.datamate_base_url ||\n            scoreDetails?.datamate_baseUrl ||\n            scoreDetails?.base_url;\n          const objectName =\n            result.object_name ||\n            scoreDetails?.object_name ||\n            scoreDetails?.minio_object_name;\n\n          let domain = t(\"taskWindow.unknownSource\");\n          let displayName = t(\"taskWindow.unknownSource\");\n          let baseUrl = \"\";\n          let faviconUrl = \"\";\n          let useDefaultIcon = false;\n          let isKnowledgeBase =\n            sourceType === \"file\" ||\n            sourceType === \"datamate\" ||\n            (!sourceType && !!filename);\n          let canOpenWeb = false;\n\n          if (isKnowledgeBase) {\n            displayName =\n              filename || result.title || t(\"taskWindow.knowledgeFile\");\n            domain =\n              datamateBaseUrl ||\n              (pageUrl && pageUrl !== \"#\"\n                ? (() => {\n                    try {\n                      return new URL(pageUrl).hostname;\n                    } catch {\n                      return t(\"taskWindow.unknownSource\");\n                    }\n                  })()\n                : t(\"taskWindow.unknownSource\"));\n            useDefaultIcon = true;\n          } else if (pageUrl && pageUrl !== \"#\") {\n            try {\n              const parsedUrl = new URL(pageUrl);\n              baseUrl = `${parsedUrl.protocol}//${parsedUrl.host}`;\n              domain = parsedUrl.hostname;\n\n              displayName = domain\n                .replace(/^www\\./, \"\")\n                .replace(\n                  /\\.(com|cn|org|net|io|gov|edu|co|info|biz|xyz)(\\.[a-z]{2})?$/,\n                  \"\"\n                );\n              if (!displayName) {\n                displayName = domain;\n              }\n\n              faviconUrl = `${baseUrl}/favicon.ico`;\n              canOpenWeb = true;\n            } catch (e) {\n              log.error(t(\"taskWindow.urlParseError\"), e);\n              useDefaultIcon = true;\n              canOpenWeb = false;\n            }\n          } else {\n            useDefaultIcon = true;\n            canOpenWeb = false;\n          }\n\n          return {\n            key: `site-${index}-${result.cite_index ?? \"\"}-${filename ?? \"\"}`,\n            domain,\n            displayName,\n            faviconUrl,\n            url: pageUrl,\n            useDefaultIcon,\n            isKnowledgeBase,\n            filename,\n            sourceType,\n            datamateDatasetId,\n            datamateFileId,\n            datamateBaseUrl,\n            objectName,\n            canOpenWeb,\n          };\n        }\n      );\n\n      const handleKnowledgeFileDownload = async (\n        site: KnowledgeSiteInfo\n      ): Promise<void> => {\n        try {\n          if (site.sourceType === \"datamate\") {\n            if (!context?.appConfig?.modelEngineEnabled) {\n              antdMessage.error(\"DataMate download not available: ModelEngine is not enabled\");\n              return;\n            }\n            if (\n              !site.datamateDatasetId &&\n              !site.datamateFileId &&\n              (!site.url || site.url === \"#\")\n            ) {\n              antdMessage.error(\n                t(\n                  \"taskWindow.downloadError\",\n                  \"Missing Datamate dataset or file information\"\n                )\n              );\n              return;\n            }\n\n            await storageService.downloadDatamateFile({\n              url: site.url && site.url !== \"#\" ? site.url : undefined,\n              baseUrl: site.datamateBaseUrl,\n              datasetId: site.datamateDatasetId,\n              fileId: site.datamateFileId,\n              filename: site.filename || undefined,\n            });\n          } else {\n            // Check if URL is a direct http/https URL that can be accessed directly\n            // Exclude backend API endpoints (containing /api/file/download/)\n            if (\n              site.url &&\n              site.url !== \"#\" &&\n              (site.url.startsWith(\"http://\") ||\n                site.url.startsWith(\"https://\")) &&\n              !site.url.includes(\"/api/file/download/\")\n            ) {\n              // Direct download from HTTP/HTTPS URL without backend\n              const link = document.createElement(\"a\");\n              link.href = site.url;\n              link.download = site.filename || \"download\";\n              link.style.display = \"none\";\n              document.body.appendChild(link);\n              link.click();\n              setTimeout(() => {\n                document.body.removeChild(link);\n              }, 100);\n              antdMessage.success(\n                t(\"taskWindow.downloadSuccess\", \"File download started\")\n              );\n              return;\n            }\n\n            let objectName = site.objectName;\n            if (!objectName && site.url) {\n              objectName = extractObjectNameFromUrl(site.url) || undefined;\n            }\n            if (!objectName && site.filename) {\n              objectName = site.filename.includes(\"/\")\n                ? site.filename\n                : `attachments/${site.filename}`;\n            }\n            if (!objectName) {\n              antdMessage.error(\n                t(\n                  \"taskWindow.downloadError\",\n                  \"Failed to download file. Please try again.\"\n                )\n              );\n              return;\n            }\n            await storageService.downloadFile(\n              objectName,\n              site.filename || undefined\n            );\n          }\n\n          antdMessage.success(\n            t(\"taskWindow.downloadSuccess\", \"File download started\")\n          );\n        } catch (error) {\n          log.error(\"Failed to download knowledge file:\", error);\n          antdMessage.error(\n            t(\n              \"taskWindow.downloadError\",\n              \"Failed to download file. Please try again.\"\n            )\n          );\n        }\n      };\n\n      // Render the search result information bar\n      return (\n        <div\n          style={{\n            fontFamily:\n              \"-apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif\",\n            fontSize: \"0.875rem\",\n            lineHeight: 1.5,\n          }}\n        >\n          {/* Display multiple source websites in a single line */}\n          <div\n            style={{\n              display: \"flex\",\n              flexDirection: \"column\",\n              gap: \"0.5rem\",\n              marginBottom: \"0.25rem\",\n            }}\n          >\n            {/* \"Reading\" label - a single line */}\n            <div\n              style={{\n                fontSize: \"0.875rem\",\n                color: \"#6b7280\",\n                fontWeight: 500,\n                paddingTop: \"0.5rem\",\n              }}\n            >\n              {t(\"taskWindow.readingSearchResults\")}\n            </div>\n\n            {/* Website icon and domain list - a new line */}\n            <div\n              style={{\n                display: \"flex\",\n                flexWrap: \"wrap\",\n                gap: \"0.5rem\",\n              }}\n            >\n              {siteInfos.map((site) => {\n                const isClickable = site.isKnowledgeBase || site.canOpenWeb;\n                return (\n                  <div\n                    key={site.key}\n                    style={{\n                      display: \"flex\",\n                      alignItems: \"center\",\n                      padding: \"0.25rem 0.5rem\",\n                      backgroundColor: \"#f9fafb\",\n                      borderRadius: \"0.25rem\",\n                      fontSize: \"0.75rem\",\n                      color: \"#4b5563\",\n                      border: \"1px solid #e5e7eb\",\n                      cursor: isClickable ? \"pointer\" : \"default\",\n                      transition: isClickable\n                        ? \"background-color 0.2s\"\n                        : \"none\",\n                    }}\n                    onClick={() => {\n                      if (site.isKnowledgeBase) {\n                        handleKnowledgeFileDownload(site);\n                      } else if (site.canOpenWeb && site.url) {\n                        window.open(site.url, \"_blank\", \"noopener,noreferrer\");\n                      }\n                    }}\n                    onMouseEnter={(e) => {\n                      if (isClickable) {\n                        e.currentTarget.style.backgroundColor = \"#f3f4f6\";\n                      }\n                    }}\n                    onMouseLeave={(e) => {\n                      if (isClickable) {\n                        e.currentTarget.style.backgroundColor = \"#f9fafb\";\n                      }\n                    }}\n                    title={\n                      site.isKnowledgeBase\n                        ? t(\"taskWindow.downloadFile\", {\n                            name: site.filename || site.displayName,\n                          })\n                        : site.canOpenWeb\n                          ? t(\"taskWindow.visit\", { domain: site.domain })\n                          : site.filename || site.displayName\n                    }\n                  >\n                    {site.isKnowledgeBase ? (\n                      <FileText size={16} className=\"mr-2\" color=\"#6b7280\" />\n                    ) : site.useDefaultIcon ? (\n                      <Globe size={16} className=\"mr-2\" color=\"#6b7280\" />\n                    ) : (\n                      <img\n                        src={site.faviconUrl}\n                        alt={site.domain}\n                        style={{\n                          width: \"16px\",\n                          height: \"16px\",\n                          marginRight: \"0.5rem\",\n                          borderRadius: \"2px\",\n                        }}\n                        onError={(e) => {\n                          // If the icon fails to load, replace it with a React component\n                          const imgElement = e.target as HTMLImageElement;\n                          // Mark the element to prevent duplicate onError triggers\n                          imgElement.style.display = \"none\";\n                          // Get the parent element\n                          const parent = imgElement.parentElement;\n                          if (parent) {\n                            // Create a placeholder div, as the container of the Globe component\n                            const placeholder = document.createElement(\"div\");\n                            placeholder.style.marginRight = \"0.5rem\";\n                            placeholder.style.display = \"inline-flex\";\n                            placeholder.style.alignItems = \"center\";\n                            placeholder.style.justifyContent = \"center\";\n                            placeholder.style.width = \"16px\";\n                            placeholder.style.height = \"16px\";\n                            // Insert it before the img\n                            parent.insertBefore(placeholder, imgElement);\n                            // Render the Globe icon to this element (this can only be approximated using native methods)\n                            placeholder.innerHTML =\n                              '<svg xmlns=\"http://www.w3.org/2000/svg\" width=\"16\" height=\"16\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"#6b7280\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><circle cx=\"12\" cy=\"12\" r=\"10\"></circle><line x1=\"2\" y1=\"12\" x2=\"22\" y2=\"12\"></line><path d=\"M12 2a15.3 15.3 0 0 1 4 10 15.3 15.3 0 0 1-4 10 15.3 15.3 0 0 1-4-10 15.3 15.3 0 0 1 4-10z\"></path></svg>';\n                          }\n                        }}\n                      />\n                    )}\n                    <span\n                      style={{\n                        color: site.isKnowledgeBase ? \"#2563eb\" : undefined,\n                        textDecoration: site.isKnowledgeBase\n                          ? \"underline\"\n                          : \"none\",\n                        fontWeight: site.isKnowledgeBase ? 600 : undefined,\n                        display: \"inline-flex\",\n                        alignItems: \"center\",\n                        gap: \"0.25rem\",\n                      }}\n                    >\n                      {site.displayName}\n                      {site.isKnowledgeBase && (\n                        <ChevronRight size={14} color=\"#2563eb\" />\n                      )}\n                    </span>\n                  </div>\n                );\n              })}\n            </div>\n          </div>\n        </div>\n      );\n    },\n  },\n\n  // card type processor - display cards with icons\n  {\n    canHandle: (message) => message.type === \"card\",\n    render: (message, t) => {\n      let cardItems: CardItem[] = [];\n\n      try {\n        // Parse the card content\n        if (typeof message.content === \"string\") {\n          cardItems = JSON.parse(message.content);\n        } else if (Array.isArray(message.content)) {\n          cardItems = message.content;\n        }\n      } catch (error) {\n        log.error(t(\"taskWindow.parseCardError\"), error);\n        return (\n          <div style={{ color: \"red\", padding: \"8px\" }}>\n            {t(\"taskWindow.cannotParseCard\")}\n          </div>\n        );\n      }\n\n      if (!cardItems || cardItems.length === 0) {\n        return null;\n      }\n\n      return (\n        <div\n          style={{\n            display: \"flex\",\n            flexWrap: \"wrap\",\n            gap: \"0.5rem\",\n            marginTop: \"0.25rem\",\n          }}\n        >\n          {cardItems.map((card: CardItem, index: number) => (\n            <div\n              key={index}\n              style={{\n                display: \"flex\",\n                alignItems: \"center\",\n                padding: \"0.25rem 0.5rem\",\n                backgroundColor: \"#f9fafb\",\n                borderRadius: \"0.25rem\",\n                fontSize: \"0.7rem\",\n                color: \"#4b5563\",\n                border: \"1px solid #e5e7eb\",\n                fontWeight: 500,\n              }}\n            >\n              {/* Get the corresponding icon component from the dictionary based on the icon name */}\n              {card.icon && iconMap[card.icon]\n                ? iconMap[card.icon]\n                : iconMap[\"default\"]}\n              <span>{card.text}</span>\n            </div>\n          ))}\n        </div>\n      );\n    },\n  },\n\n  // search_content type processor - search results\n  {\n    canHandle: (message) => {\n      const isSearchContent = message.type === \"search_content\";\n      return isSearchContent;\n    },\n    render: (message, t) => {\n      // Extract search results from the content\n      let searchResults = [];\n      const content = message.content || \"\";\n\n      try {\n        // Try to parse the JSON content\n        if (typeof content === \"string\") {\n          // Parse the JSON string\n          const parsedContent = JSON.parse(content);\n\n          // Check if it is an array\n          if (Array.isArray(parsedContent)) {\n            searchResults = parsedContent;\n          } else {\n            // If it is not an array but an object, it may be a single result\n            searchResults = [parsedContent];\n          }\n        } else if (Array.isArray(content)) {\n          // If it is already an array, use it directly\n          searchResults = content;\n        }\n      } catch (error: any) {\n        log.error(t(\"taskWindow.parseSearchError\"), error);\n        return (\n          <div style={{ color: \"red\", padding: \"8px\" }}>\n            {t(\"taskWindow.cannotParseSearch\", { message: error.message })}\n          </div>\n        );\n      }\n\n      // If there are no search results, display an empty message\n      if (!searchResults || searchResults.length === 0) {\n        return (\n          <div style={{ padding: \"8px\", color: \"#6b7280\" }}>\n            {t(\"taskWindow.noSearchResults\")}\n          </div>\n        );\n      }\n\n      // deduplication logic - based on the combination of URL and filename\n      const uniqueSearchResults = searchResults.filter(\n        (result: any, index: number, array: any[]) => {\n          const currentKey = `${result.url || \"\"}-${result.filename || \"\"}-${\n            result.title || \"\"\n          }`;\n          return (\n            array.findIndex((item: any) => {\n              const itemKey = `${item.url || \"\"}-${item.filename || \"\"}-${\n                item.title || \"\"\n              }`;\n              return itemKey === currentKey;\n            }) === index\n          );\n        }\n      );\n\n      // Process website information for display\n      const siteInfos = uniqueSearchResults.map((result: any) => {\n        const pageUrl = result.url || \"\";\n        const filename = result.filename || \"\";\n        const sourceType = result.source_type || \"\";\n        let domain = t(\"taskWindow.unknownSource\");\n        let displayName = t(\"taskWindow.unknownSource\");\n        let baseUrl = \"\";\n        let faviconUrl = \"\";\n        let useDefaultIcon = false;\n        let isKnowledgeBase = false;\n        let canClick = true; // whether to allow click to jump\n\n        // first judge based on source_type\n        if (sourceType === \"file\") {\n          isKnowledgeBase = true;\n          displayName =\n            filename || result.title || t(\"taskWindow.knowledgeFile\");\n          useDefaultIcon = true;\n          canClick = false; // file type does not allow jump\n        }\n        // if there is no source_type, judge based on filename (compatibility processing)\n        else if (filename) {\n          isKnowledgeBase = true;\n          displayName = filename;\n          useDefaultIcon = true;\n          canClick = false; // file type does not allow jump\n        }\n        // handle webpage link\n        else if (pageUrl && pageUrl !== \"#\") {\n          try {\n            const parsedUrl = new URL(pageUrl);\n            baseUrl = `${parsedUrl.protocol}//${parsedUrl.host}`;\n            domain = parsedUrl.hostname;\n\n            // Process the domain, remove the www prefix and com/cn etc. suffix\n            displayName = domain\n              .replace(/^www\\./, \"\") // Remove the www. prefix\n              .replace(\n                /\\.(com|cn|org|net|io|gov|edu|co|info|biz|xyz)(\\.[a-z]{2})?$/,\n                \"\"\n              ); // Remove common suffixes\n\n            // If the processing is empty, use the original domain\n            if (!displayName) {\n              displayName = domain;\n            }\n\n            faviconUrl = `${baseUrl}/favicon.ico`;\n            canClick = true;\n          } catch (e) {\n            log.error(t(\"taskWindow.urlParseError\"), e);\n            useDefaultIcon = true;\n            canClick = false;\n          }\n        } else {\n          useDefaultIcon = true;\n          canClick = false;\n        }\n\n        return {\n          domain,\n          displayName,\n          faviconUrl,\n          url: pageUrl,\n          useDefaultIcon,\n          isKnowledgeBase,\n          filename,\n          canClick,\n        };\n      });\n\n      // Render the search result information bar\n      return (\n        <div\n          style={{\n            fontFamily:\n              \"-apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif\",\n            fontSize: \"0.875rem\",\n            lineHeight: 1.5,\n          }}\n        >\n          {/* Display multiple source websites in a single line */}\n          <div\n            style={{\n              display: \"flex\",\n              flexDirection: \"column\",\n              gap: \"0.5rem\",\n              marginBottom: \"0.25rem\",\n            }}\n          >\n            {/* \"Reading search results\" label - a single line */}\n            <div\n              style={{\n                fontSize: \"0.875rem\",\n                color: \"#6b7280\",\n                fontWeight: 500,\n                paddingTop: \"0.5rem\",\n              }}\n            >\n              {t(\"taskWindow.readingSearchResults\")}\n            </div>\n\n            {/* Website icon and domain list - a new line */}\n            <div\n              style={{\n                display: \"flex\",\n                flexWrap: \"wrap\",\n                gap: \"0.5rem\",\n              }}\n            >\n              {siteInfos.map((site: any, index: number) => (\n                <div\n                  key={index}\n                  style={{\n                    display: \"flex\",\n                    alignItems: \"center\",\n                    padding: \"0.25rem 0.5rem\",\n                    backgroundColor: \"#f9fafb\",\n                    borderRadius: \"0.25rem\",\n                    fontSize: \"0.75rem\",\n                    color: \"#4b5563\",\n                    border: \"1px solid #e5e7eb\",\n                    cursor: site.canClick ? \"pointer\" : \"default\",\n                    transition: site.canClick\n                      ? \"background-color 0.2s\"\n                      : \"none\",\n                  }}\n                  onClick={() => {\n                    if (site.canClick && site.url) {\n                      window.open(site.url, \"_blank\", \"noopener,noreferrer\");\n                    }\n                  }}\n                  onMouseEnter={(e) => {\n                    if (site.canClick) {\n                      e.currentTarget.style.backgroundColor = \"#f3f4f6\";\n                    }\n                  }}\n                  onMouseLeave={(e) => {\n                    if (site.canClick) {\n                      e.currentTarget.style.backgroundColor = \"#f9fafb\";\n                    }\n                  }}\n                  title={\n                    site.canClick\n                      ? t(\"taskWindow.visit\", { domain: site.domain })\n                      : site.filename || site.displayName\n                  }\n                >\n                  {site.isKnowledgeBase ? (\n                    <FileText size={16} className=\"mr-2\" color=\"#6b7280\" />\n                  ) : site.useDefaultIcon ? (\n                    <Globe size={16} className=\"mr-2\" color=\"#6b7280\" />\n                  ) : (\n                    <img\n                      src={site.faviconUrl}\n                      alt={site.domain}\n                      style={{\n                        width: \"16px\",\n                        height: \"16px\",\n                        marginRight: \"0.5rem\",\n                        borderRadius: \"2px\",\n                      }}\n                      onError={(e) => {\n                        // If the icon fails to load, replace it with a React component\n                        const imgElement = e.target as HTMLImageElement;\n                        // Mark the element to prevent duplicate onError triggers\n                        imgElement.style.display = \"none\";\n                        // Get the parent element\n                        const parent = imgElement.parentElement;\n                        if (parent) {\n                          // Create a placeholder div, as the container of the Globe component\n                          const placeholder = document.createElement(\"div\");\n                          placeholder.style.marginRight = \"0.5rem\";\n                          placeholder.style.display = \"inline-flex\";\n                          placeholder.style.alignItems = \"center\";\n                          placeholder.style.justifyContent = \"center\";\n                          placeholder.style.width = \"16px\";\n                          placeholder.style.height = \"16px\";\n                          // Insert it before the img\n                          parent.insertBefore(placeholder, imgElement);\n                          // Render the Globe icon to this element (this can only be approximated using native methods)\n                          placeholder.innerHTML =\n                            '<svg xmlns=\"http://www.w3.org/2000/svg\" width=\"16\" height=\"16\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"#6b7280\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><circle cx=\"12\" cy=\"12\" r=\"10\"></circle><line x1=\"2\" y1=\"12\" x2=\"22\" y2=\"12\"></line><path d=\"M12 2a15.3 15.3 0 0 1 4 10 15.3 15.3 0 0 1-4 10 15.3 15.3 0 0 1-4-10 15.3 15.3 0 0 1 4-10z\"></path></svg>';\n                        }\n                      }}\n                    />\n                  )}\n                  <span>{site.displayName}</span>\n                </div>\n              ))}\n            </div>\n          </div>\n        </div>\n      );\n    },\n  },\n\n  // model_output type processor - model output\n  {\n    canHandle: (message) => message.type === \"model_output\",\n    render: (message, _t) => (\n      <div\n        style={{\n          fontFamily:\n            \"-apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif\",\n          fontSize: \"0.875rem\",\n          lineHeight: 1.5,\n          color: message.subType === \"deep_thinking\" ? \"#6b7280\" : \"#1f2937\",\n          fontWeight: 400,\n        }}\n      >\n        <MarkdownRenderer\n          content={message.content}\n          className=\"task-message-content\"\n          showDiagramToggle={false}\n          enableMultimodal={false}\n        />\n      </div>\n    ),\n  },\n\n  // model_output_code type processor - code output with direct code block rendering\n  {\n    canHandle: (message) =>\n      message.type === chatConfig.messageTypes.MODEL_OUTPUT_CODE,\n    render: (message, _t) => {\n      // Extract code content and language from the message\n      const { codeContent, language } = extractCodeInfo(message.content);\n\n      return (\n        <div\n          style={{\n            fontFamily:\n              \"-apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif\",\n            fontSize: \"0.875rem\",\n            lineHeight: 1.5,\n            color: \"#1f2937\",\n            fontWeight: 400,\n          }}\n        >\n          <CodeBlock codeContent={codeContent} language={language} />\n        </div>\n      );\n    },\n  },\n\n  // execution type processor - execution result (not displayed)\n  {\n    canHandle: (message) => message.type === \"execution\",\n    render: (_message, _t) => null, // Return null, do not render this type of message\n  },\n\n  // error type processor - error information\n  {\n    canHandle: (message) => message.type === \"error\",\n    render: (message, _t) => (\n      <div\n        style={{\n          fontFamily:\n            \"-apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif\",\n          fontSize: \"0.875rem\",\n          lineHeight: 1.5,\n          color: \"#dc2626\",\n          fontWeight: 500,\n          borderRadius: \"0.25rem\",\n          paddingTop: \"0.5rem\",\n        }}\n      >\n        <span>{message.content}</span>\n      </div>\n    ),\n  },\n\n  // virtual type processor - virtual message (do not display content, only as a card container)\n  {\n    canHandle: (message) => message.type === \"virtual\",\n    render: (_message, _t) => null,\n  },\n\n  // memory_search type processor - memory fetching status\n  {\n    canHandle: (message) => message.type === \"memory_search\",\n    render: (message, t) => {\n      let memoryData: any = {};\n\n      try {\n        // Parse the memory search content\n        memoryData = JSON.parse(message.content);\n      } catch (error) {\n        log.error(\"Failed to parse memory search content:\", error);\n        return null;\n      }\n\n      let messageText = memoryData.message || \"\";\n      // Map backend placeholders to translated text\n      switch (messageText) {\n        case \"<MEM_START>\":\n          messageText = t(\"chatStreamHandler.memoryRetrieving\");\n          break;\n        case \"<MEM_DONE>\":\n          messageText = t(\"chatStreamHandler.memoryRetrieved\");\n          break;\n        case \"<MEM_FAILED>\":\n          messageText = t(\"chatStreamHandler.memoryFailed\");\n          break;\n        default:\n          break;\n      }\n\n      return (\n        <div\n          style={{\n            fontFamily:\n              \"-apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif\",\n            fontSize: \"0.875rem\",\n            lineHeight: 1.5,\n            color: \"#6b7280\",\n            fontWeight: 500,\n            paddingTop: \"0.5rem\",\n          }}\n        >\n          <span>{messageText}</span>\n        </div>\n      );\n    },\n  },\n\n  // default processor - should be placed at the end\n  {\n    canHandle: () => true,\n    render: (message, t) => {\n      const content = message.content;\n      if (typeof content === \"string\") {\n        return (\n          <MarkdownRenderer\n            content={content}\n            className=\"task-message-content\"\n            showDiagramToggle={false}\n            enableMultimodal={false}\n          />\n        );\n      } else {\n        return (\n          <pre\n            style={{\n              whiteSpace: \"pre-wrap\",\n              fontSize: \"0.75rem\",\n              fontFamily: \"monospace\",\n            }}\n          >\n            {JSON.stringify(content, null, 2)}\n          </pre>\n        );\n      }\n    },\n  },\n];\n\ninterface TaskWindowProps {\n  messages: TaskMessageType[];\n  isStreaming?: boolean;\n  defaultExpanded?: boolean;\n}\n\nfunction TaskWindowInner({ messages, isStreaming = false, defaultExpanded = true }: TaskWindowProps) {\n  const { t } = useTranslation(\"common\");\n  const { appConfig } = useConfig();\n  const scrollAreaRef = useRef<HTMLDivElement>(null);\n  const [autoScroll, setAutoScroll] = useState(true);\n  const [isExpanded, setIsExpanded] = useState(defaultExpanded); // default expand task details interface\n  const [contentHeight, setContentHeight] = useState(0);\n  const contentRef = useRef<HTMLDivElement>(null);\n\n  // Add new refs for dynamic threshold calculation\n  const prevContentHeightRef = useRef(0);\n  const lastScrollTimeRef = useRef(Date.now());\n\n  const { hasMessages, hasVisibleMessages, groupedMessages } =\n    useChatTaskMessage(messages as ChatMessageType[]);\n\n  // The function of scrolling to the bottom - defined early to avoid hoisting issues\n  const scrollToBottom = () => {\n    const scrollAreaElement = scrollAreaRef.current?.querySelector(\n      \"[data-radix-scroll-area-viewport]\"\n    );\n    if (!scrollAreaElement) return;\n\n    // Use requestAnimationFrame to optimize performance\n    requestAnimationFrame(() => {\n      (scrollAreaElement as HTMLElement).scrollTop = (\n        scrollAreaElement as HTMLElement\n      ).scrollHeight;\n    });\n  };\n\n  // calculate the content height\n  useEffect(() => {\n    if (isExpanded && contentRef.current) {\n      const height = contentRef.current.scrollHeight;\n      setContentHeight(height);\n    }\n  }, [isExpanded, groupedMessages, messages]);\n\n  // Force recalculate content height after mount for cached error messages\n  useEffect(() => {\n    if (isExpanded && contentHeight === 0) {\n      // Delay to ensure DOM is rendered\n      const timer = setTimeout(() => {\n        if (contentRef.current) {\n          const height = contentRef.current.scrollHeight;\n          setContentHeight(height);\n        }\n      }, 100);\n      return () => clearTimeout(timer);\n    }\n  }, [isExpanded, contentHeight]);\n\n  // Dynamic threshold calculation based on content growth\n  const calculateDynamicThreshold = (baseThreshold: number) => {\n    const contentGrowth = contentHeight - prevContentHeightRef.current;\n    const currentTime = Date.now();\n    const timeDiff = currentTime - lastScrollTimeRef.current;\n\n    // If content grew significantly (more than 200px) in a short time (less than 1 second)\n    if (contentGrowth > 200 && timeDiff < 1000) {\n      // Increase threshold proportionally to content growth, but cap it at reasonable limits\n      const dynamicThreshold = Math.min(\n        baseThreshold + contentGrowth * 0.8,\n        400\n      );\n      return dynamicThreshold;\n    }\n\n    // If content grew moderately (50-200px)\n    if (contentGrowth > 50) {\n      const dynamicThreshold = Math.min(\n        baseThreshold + contentGrowth * 0.5,\n        250\n      );\n      return dynamicThreshold;\n    }\n\n    return baseThreshold;\n  };\n\n  // Listen for message changes and automatically scroll to the bottom (only when user allows it)\n  useEffect(() => {\n    if (isExpanded && autoScroll) {\n      const scrollAreaElement = scrollAreaRef.current?.querySelector(\n        \"[data-radix-scroll-area-viewport]\"\n      );\n      if (!scrollAreaElement) return;\n\n      const { scrollTop, scrollHeight, clientHeight } =\n        scrollAreaElement as HTMLElement;\n      const distanceToBottom = scrollHeight - scrollTop - clientHeight;\n\n      // Use dynamic threshold for auto-scroll\n      const dynamicThreshold = calculateDynamicThreshold(150);\n\n      // Only auto-scroll if user is near the bottom (within dynamic threshold)\n      if (distanceToBottom < dynamicThreshold) {\n        // Use requestAnimationFrame to avoid too frequent updates\n        requestAnimationFrame(() => {\n          scrollToBottom();\n        });\n      }\n\n      // Update tracking refs after scroll decision\n      prevContentHeightRef.current = contentHeight;\n      lastScrollTimeRef.current = Date.now();\n    }\n  }, [messages.length, isExpanded, autoScroll, contentHeight]);\n\n  // Auto-scroll during streaming when user allows it\n  useEffect(() => {\n    if (autoScroll && isStreaming && isExpanded) {\n      const scrollAreaElement = scrollAreaRef.current?.querySelector(\n        \"[data-radix-scroll-area-viewport]\"\n      );\n      if (!scrollAreaElement) return;\n\n      const { scrollTop, scrollHeight, clientHeight } =\n        scrollAreaElement as HTMLElement;\n      const distanceToBottom = scrollHeight - scrollTop - clientHeight;\n\n      // Use dynamic threshold for streaming auto-scroll (more sensitive base threshold)\n      const dynamicThreshold = calculateDynamicThreshold(50);\n\n      // Only auto-scroll during streaming if user is near the bottom (within dynamic threshold)\n      if (distanceToBottom < dynamicThreshold) {\n        scrollToBottom();\n      }\n\n      // Update tracking refs after scroll decision\n      prevContentHeightRef.current = contentHeight;\n      lastScrollTimeRef.current = Date.now();\n    }\n  }, [messages, autoScroll, isStreaming, isExpanded, contentHeight]);\n\n  // Handle the scrolling event of the scroll area\n  useEffect(() => {\n    const scrollAreaElement = scrollAreaRef.current?.querySelector(\n      \"[data-radix-scroll-area-viewport]\"\n    );\n\n    if (!scrollAreaElement) return;\n\n    const handleScroll = () => {\n      const { scrollTop, scrollHeight, clientHeight } =\n        scrollAreaElement as HTMLElement;\n      const distanceToBottom = scrollHeight - scrollTop - clientHeight;\n\n      // If the distance to the bottom is less than 50px, it is considered that the user has scrolled to the bottom, and enable automatic scrolling\n      if (distanceToBottom < 50) {\n        setAutoScroll(true);\n      } else if (distanceToBottom > 80) {\n        // If the distance to the bottom is greater than 80px, and it is user-initiated scrolling, disable automatic scrolling\n        setAutoScroll(false);\n      }\n    };\n\n    scrollAreaElement.addEventListener(\"scroll\", handleScroll);\n\n    return () => {\n      scrollAreaElement.removeEventListener(\"scroll\", handleScroll);\n    };\n  }, []);\n\n  // The logic of automatically folding when the message changes\n  useEffect(() => {\n    if (!isStreaming && messages.length > 0) {\n      const lastMessage = messages[messages.length - 1];\n      // Check if the last message contains finalAnswer\n      if (lastMessage.finalAnswer) {\n        const timer = setTimeout(() => {\n          setIsExpanded(false);\n        }, 1000); // Collapse after 1 second\n        return () => clearTimeout(timer);\n      }\n    }\n  }, [messages, isStreaming]);\n\n  // Use the processor to render the message content\n  const renderMessageContent = (message: any) => {\n    // Find the first processor that can handle this message type\n\n    const handler = messageHandlers.find((h) => h.canHandle(message));\n    if (handler) {\n      return handler.render(message, t, { appConfig });\n    }\n\n    // Fallback processing, normally not executed here\n\n    return (\n      <div className=\"text-sm text-gray-500\">\n        {t(\"taskWindow.unknownMessageType\", { type: message.type })}\n      </div>\n    );\n  };\n\n  // Error messages that should be completely hidden (including the node)\n  const suppressedErrorMessages = [\n    \"Model is interrupted by stop event\",\n    \"Agent execution interrupted by external stop signal\",\n  ];\n\n  // Check if a message should be suppressed (not displayed at all)\n  const shouldSuppressMessage = (message: any) => {\n    if (message.type !== \"error\") return false;\n    const content = message.content || \"\";\n    return suppressedErrorMessages.some((errText) => content.includes(errText));\n  };\n\n  // Check if it is the last message\n  const isLastMessage = (index: number, messages: any[]) => {\n    return index === messages.length - 1;\n  };\n\n  // Check if a message should display a blinking dot\n  const shouldBlinkDot = (index: number, messages: any[]) => {\n    // As long as it is the last message and is streaming, it should blink, regardless of the message type\n    return isStreaming && isLastMessage(index, messages);\n  };\n\n  // Render the message list\n  const renderMessages = () => {\n    if (!hasMessages) {\n      return (\n        <div className=\"text-center text-sm text-gray-400 mt-8\">\n          {t(\"taskWindow.noTaskMessages\")}\n        </div>\n      );\n    }\n\n    if (!hasVisibleMessages) {\n      return (\n        <div className=\"text-center text-sm text-gray-400 mt-8\">\n          {t(\"taskWindow.noTaskMessages\")}\n        </div>\n      );\n    }\n\n    // Filter out messages that should be suppressed\n    const filteredGroupedMessages = groupedMessages.filter(\n      (group) => !shouldSuppressMessage(group.message)\n    );\n\n    return (\n      <div className=\"relative\">\n        <div className=\"absolute left-[0.2rem] top-[1.25rem] bottom-0 w-0.5 bg-gray-200\"></div>\n\n        {filteredGroupedMessages.map((group, groupIndex) => {\n          const message = group.message;\n          const isBlinking = shouldBlinkDot(\n            groupIndex,\n            filteredGroupedMessages.map((g) => g.message)\n          );\n\n          return (\n            <div key={message.id || groupIndex} className=\"relative mb-5\">\n              {/* Use flex layout to ensure dots align with text content */}\n              <div className=\"flex items-start\">\n                {/* Dot container */}\n                <div\n                  className=\"flex-shrink-0 mr-3\"\n                  style={{ position: \"relative\", top: \"0.95rem\" }}\n                >\n                  <div\n                    className={isBlinking ? \"blinkingDot\" : \"\"}\n                    style={\n                      isBlinking\n                        ? {\n                            width: \"0.5rem\",\n                            height: \"0.5rem\",\n                            borderRadius: \"9999px\",\n                          }\n                        : {\n                            width: \"0.5rem\",\n                            height: \"0.5rem\",\n                            borderRadius: \"9999px\",\n                            backgroundColor:\n                              message.type === \"virtual\"\n                                ? \"transparent\"\n                                : \"#9ca3af\",\n                          }\n                    }\n                  ></div>\n                </div>\n\n                {/* Message content */}\n                <div className=\"flex-1 text-sm break-words min-w-0\">\n                  {renderMessageContent(message)}\n\n                  {/* Render card messages */}\n                  {group.cards.length > 0 && (\n                    <div className=\"mt-2\">\n                      {group.cards.map((card, cardIndex) => (\n                        <div key={`card-${cardIndex}`} className=\"ml-0\">\n                          {renderMessageContent(card)}\n                        </div>\n                      ))}\n                    </div>\n                  )}\n                </div>\n              </div>\n            </div>\n          );\n        })}\n      </div>\n    );\n  };\n\n  // Calculate container height: content height + header height, but not exceeding maximum height\n  const maxHeight = 300;\n  const headerHeight = 55;\n  const availableHeight = maxHeight - headerHeight;\n  // Add extra padding for diagrams to prevent bottom cutoff\n  const actualContentHeight = Math.min(contentHeight + 32, availableHeight);\n  const containerHeight = isExpanded\n    ? headerHeight + actualContentHeight\n    : \"auto\";\n  const needsScroll = contentHeight + 16 > availableHeight;\n\n  return (\n    <>\n      <div\n        className=\"relative rounded-lg mb-4 overflow-hidden border border-gray-200 bg-gray-50\"\n        style={{\n          height: containerHeight,\n          minHeight: isExpanded ? `${headerHeight}px` : \"auto\",\n        }}\n      >\n        <div className=\"px-1 py-2\">\n          <div className=\"flex items-center\">\n            <Button\n              type=\"text\"\n              size=\"small\"\n              className=\"h-6 w-6 p-0 rounded-full mr-2 text-gray-500 hover:bg-transparent\"\n              onClick={() => setIsExpanded(!isExpanded)}\n            >\n              <ChevronRight\n                className={`h-4 w-4 ${isExpanded ? \"rotate-90\" : \"-rotate-90\"}`}\n              />\n            </Button>\n            <span className=\"text-xs font-medium text-gray-500\">\n              {t(\"taskWindow.taskDetails\")}\n            </span>\n          </div>\n          {isExpanded && <div className=\"h-px bg-gray-200 mt-2\" />}\n        </div>\n\n        {isExpanded && (\n          <div\n            className=\"px-4 pb-4\"\n            style={{ height: `${actualContentHeight}px` }}\n          >\n            {needsScroll ? (\n              <ScrollArea className=\"h-full\" ref={scrollAreaRef}>\n                <div className=\"pb-2\" ref={contentRef}>\n                  {renderMessages()}\n                </div>\n              </ScrollArea>\n            ) : (\n              <div className=\"pb-2\" ref={contentRef}>\n                {renderMessages()}\n              </div>\n            )}\n          </div>\n        )}\n      </div>\n\n      {/* Add necessary CSS animations */}\n      <style jsx global>{`\n        @keyframes blinkingDot {\n          0% {\n            background-color: rgba(59, 130, 246, 0.5);\n          }\n          50% {\n            background-color: rgba(79, 70, 229, 1);\n          }\n          100% {\n            background-color: rgba(59, 130, 246, 0.5);\n          }\n        }\n        .blinkingDot {\n          animation: blinkingDot 1.5s infinite ease-in-out;\n          background-color: rgba(79, 70, 229, 1);\n          box-shadow: 0 0 5px rgba(79, 70, 229, 0.5);\n        }\n\n        /* For the code block style in task-message-content */\n        /* Allow code-block-container to use its default styles */\n        .task-message-content .code-block-container {\n          max-width: 100% !important;\n          margin: 8px 0 !important;\n        }\n\n        .task-message-content .code-block-content pre {\n          white-space: pre-wrap !important;\n          word-wrap: break-word !important;\n          word-break: break-word !important;\n          overflow-wrap: break-word !important;\n          max-width: 100% !important;\n          box-sizing: border-box !important;\n        }\n\n        /* For inline code and fallback code */\n        .task-message-content code:not(.code-block-content code) {\n          white-space: pre-wrap !important;\n          word-wrap: break-word !important;\n          word-break: break-word !important;\n          overflow-wrap: break-word !important;\n          max-width: 100% !important;\n        }\n\n        /* Ensure the content of the SyntaxHighlighter component wraps correctly */\n        .task-message-content .react-syntax-highlighter-line-number {\n          white-space: nowrap !important;\n        }\n\n        /* Make sure the entire container is not stretched by the content */\n        .task-message-content {\n          max-width: 100% !important;\n          word-wrap: break-word !important;\n          word-break: break-word !important;\n        }\n\n        /* Allow code block container to overflow if needed for proper display */\n        .task-message-content .code-block-container {\n          overflow: visible !important;\n        }\n\n        .task-message-content * {\n          max-width: 100% !important;\n          box-sizing: border-box !important;\n        }\n\n        /* Exception for code block container - allow it to use its default overflow */\n        .task-message-content .code-block-container * {\n          max-width: none !important;\n        }\n\n        /* Override diagram size in task window */\n        .task-message-content .my-4 {\n          max-width: 200px !important;\n          margin: 0 auto !important;\n          display: flex !important;\n          justify-content: center !important;\n        }\n\n        .task-message-content .my-4 img {\n          max-width: 200px !important;\n          width: 200px !important;\n          margin: 0 auto !important;\n          display: block !important;\n        }\n\n        /* More specific selectors for mermaid diagrams */\n        .task-message-content .task-message-content .my-4 {\n          max-width: 200px !important;\n          margin: 0 auto !important;\n          display: flex !important;\n          justify-content: center !important;\n        }\n\n        .task-message-content .task-message-content .my-4 img {\n          max-width: 200px !important;\n          width: 200px !important;\n          margin: 0 auto !important;\n          display: block !important;\n        }\n\n        /* Paragraph spacing adjustment */\n        .task-message-content p {\n          margin-bottom: 0.5rem !important;\n          margin-top: 0.25rem !important;\n        }\n\n        .task-message-content .markdown-body p {\n          margin-bottom: 0.5rem !important;\n          margin-top: 0.25rem !important;\n        }\n      `}</style>\n    </>\n  );\n}\n\nfunction areEqualTaskWindow(prev: TaskWindowProps, next: TaskWindowProps): boolean {\n  if (prev.isStreaming !== next.isStreaming) return false;\n  if (prev.messages.length !== next.messages.length) return false;\n  // During streaming the last message grows in content without the array length changing.\n  if (prev.messages.length > 0) {\n    const prevLast = prev.messages[prev.messages.length - 1];\n    const nextLast = next.messages[next.messages.length - 1];\n    if (prevLast.id !== nextLast.id || prevLast.content !== nextLast.content) return false;\n  }\n  // defaultExpanded is only meaningful on initial mount; exclude from equality check.\n  return true;\n}\n\nexport const TaskWindow = React.memo(TaskWindowInner, areEqualTaskWindow);\n"
  },
  {
    "path": "frontend/app/[locale]/i18n.tsx",
    "content": "import i18n from \"i18next\";\nimport { initReactI18next } from \"react-i18next\";\n\nimport en from \"../../public/locales/en/common.json\";\nimport zh from \"../../public/locales/zh/common.json\";\n\nif (!i18n.isInitialized) {\n  i18n.use(initReactI18next).init({\n    resources: {\n      en: { common: en },\n      zh: { common: zh },\n    },\n    lng: \"zh\", // default language\n    fallbackLng: \"en\",\n    ns: [\"common\"],\n    defaultNS: \"common\",\n    interpolation: {\n      escapeValue: false,\n    },\n    react: {\n      useSuspense: false,\n    },\n  });\n}\n\nexport default i18n;\n"
  },
  {
    "path": "frontend/app/[locale]/knowledges/KnowledgeBaseConfiguration.tsx",
    "content": "\"use client\";\n\nimport type React from \"react\";\nimport {\n  useState,\n  useEffect,\n  useRef,\n  useLayoutEffect,\n  useCallback,\n} from \"react\";\nimport { useTranslation } from \"react-i18next\";\n\nimport { App, Modal, Row, Col, theme, Button, Input, Form } from \"antd\";\nimport {\n  ExclamationCircleFilled,\n  WarningFilled,\n  InfoCircleFilled,\n} from \"@ant-design/icons\";\nimport {\n  DOCUMENT_ACTION_TYPES,\n  KNOWLEDGE_BASE_ACTION_TYPES,\n} from \"@/const/knowledgeBase\";\nimport { useConfirmModal } from \"@/hooks/useConfirmModal\";\nimport log from \"@/lib/logger\";\nimport knowledgeBaseService from \"@/services/knowledgeBaseService\";\nimport knowledgeBasePollingService from \"@/services/knowledgeBasePollingService\";\nimport { KnowledgeBase } from \"@/types/knowledgeBase\";\nimport { useConfig } from \"@/hooks/useConfig\";\nimport {\n  SETUP_PAGE_CONTAINER,\n  TWO_COLUMN_LAYOUT,\n  STANDARD_CARD,\n} from \"@/const/layoutConstants\";\n\nimport KnowledgeBaseList from \"./components/knowledge/KnowledgeBaseList\";\nimport DocumentList from \"./components/document/DocumentList\";\nimport {\n  useKnowledgeBaseContext,\n  KnowledgeBaseProvider,\n} from \"./contexts/KnowledgeBaseContext\";\nimport {\n  useDocumentContext,\n  DocumentProvider,\n} from \"./contexts/DocumentContext\";\nimport { useUIContext, UIProvider } from \"./contexts/UIStateContext\";\n\n// EmptyState component defined directly in this file\ninterface EmptyStateProps {\n  icon?: React.ReactNode | string;\n  title: string;\n  description?: string;\n  action?: React.ReactNode;\n  containerHeight?: string;\n}\n\nconst EmptyState: React.FC<EmptyStateProps> = ({\n  icon = \"📋\",\n  title,\n  description,\n  action,\n  containerHeight = \"100%\",\n}) => {\n  return (\n    <div\n      className=\"flex items-center justify-center p-4\"\n      style={{ height: containerHeight }}\n    >\n      <div className=\"text-center\">\n        {typeof icon === \"string\" ? (\n          <div className=\"text-gray-400 text-3xl mb-2\">{icon}</div>\n        ) : (\n          <div className=\"text-gray-400 mb-2\">{icon}</div>\n        )}\n        <h3 className=\"text-base font-medium text-gray-700 mb-1\">{title}</h3>\n        {description && (\n          <p className=\"text-gray-500 max-w-md text-xs mb-4\">{description}</p>\n        )}\n        {action && <div className=\"mt-2\">{action}</div>}\n      </div>\n    </div>\n  );\n};\n\n// Combined AppProvider implementation\ninterface AppProviderProps {\n  children: React.ReactNode;\n}\n\n/**\n * AppProvider - Provides global state management for the application\n *\n * Combines knowledge base, document and UI state management together for easy one-time import of all contexts\n */\nconst AppProvider: React.FC<AppProviderProps> = ({ children }) => {\n  return (\n    <KnowledgeBaseProvider>\n      <DocumentProvider>\n        <UIProvider>{children}</UIProvider>\n      </DocumentProvider>\n    </KnowledgeBaseProvider>\n  );\n};\n\n// Update the wrapper component\ninterface DataConfigWrapperProps {\n  isActive?: boolean;\n}\n\nexport default function DataConfigWrapper({\n  isActive = false,\n}: DataConfigWrapperProps) {\n  return (\n    <AppProvider>\n      <DataConfig isActive={isActive} />\n    </AppProvider>\n  );\n}\n\ninterface DataConfigProps {\n  isActive: boolean;\n}\n\nfunction DataConfig({ isActive }: DataConfigProps) {\n  const { t } = useTranslation();\n  const { message } = App.useApp();\n  const { confirm } = useConfirmModal();\n  const { modelConfig, data: configData, invalidateConfig, config, updateConfig, saveConfig } = useConfig();\n  const { token } = theme.useToken();\n\n  // Clear cache when component initializes\n  useEffect(() => {\n    localStorage.removeItem(\"preloaded_kb_data\");\n    localStorage.removeItem(\"kb_cache\");\n    loadDataMateConfig();\n  }, []);\n\n  // Load DataMate URL configuration from React Query cached data\n  const loadDataMateConfig = () => {\n    if (configData?.app && typeof configData.app.datamateUrl === \"string\") {\n      setDataMateUrl(configData.app.datamateUrl);\n    } else {\n      setDataMateUrl(\"\");\n    }\n\n    if (configData?.app && typeof configData.app.modelEngineEnabled === \"boolean\") {\n      setModelEngineEnabled(configData.app.modelEngineEnabled);\n    }\n\n    return configData?.app?.datamateUrl || \"\";\n  };\n\n  // Get context values\n  const {\n    state: kbState,\n    fetchKnowledgeBases,\n    createKnowledgeBase,\n    deleteKnowledgeBase,\n    setActiveKnowledgeBase,\n    hasKnowledgeBaseModelMismatch,\n    refreshKnowledgeBaseData,\n    refreshKnowledgeBaseDataWithDataMate,\n    dispatch: kbDispatch,\n  } = useKnowledgeBaseContext();\n\n  const {\n    state: docState,\n    fetchDocuments,\n    uploadDocuments,\n    deleteDocument,\n    dispatch: docDispatch,\n  } = useDocumentContext();\n\n  const { state: uiState, setDragging, dispatch: uiDispatch } = useUIContext();\n\n  // Check if ModelEngine is enabled (from config API)\n  const [modelEngineEnabled, setModelEngineEnabled] = useState(false);\n\n  // Create mode state\n  const [isCreatingMode, setIsCreatingMode] = useState(false);\n  const [newKbName, setNewKbName] = useState(\"\");\n  const [newKbIngroupPermission, setNewKbIngroupPermission] = useState<string>(\"READ_ONLY\");\n  const [newKbGroupIds, setNewKbGroupIds] = useState<number[]>([]);\n  const [uploadFiles, setUploadFiles] = useState<File[]>([]);\n  const [hasClickedUpload, setHasClickedUpload] = useState(false);\n  const [showEmbeddingWarning, setShowEmbeddingWarning] = useState(false);\n  const [showAutoDeselectModal, setShowAutoDeselectModal] = useState(false);\n  const [newlyCreatedKbId, setNewlyCreatedKbId] = useState<string | null>(null); // Track newly created KB waiting for documents\n\n  // Search and filter state\n  const [searchQuery, setSearchQuery] = useState(\"\");\n  const [sourceFilter, setSourceFilter] = useState<string[]>([]);\n  const [modelFilter, setModelFilter] = useState<string[]>([]);\n  const contentRef = useRef<HTMLDivElement | null>(null);\n\n  // Open warning modal when single Embedding model is not configured (ignore multi-embedding)\n  useEffect(() => {\n    const singleEmbeddingModelName = modelConfig?.embedding?.modelName;\n    setShowEmbeddingWarning(!singleEmbeddingModelName);\n  }, [modelConfig?.embedding?.modelName]);\n\n  // Add event listener for selecting new knowledge base\n  useEffect(() => {\n    const handleSelectNewKnowledgeBase = (e: CustomEvent) => {\n      const { knowledgeBase } = e.detail;\n      if (knowledgeBase) {\n        setIsCreatingMode(false);\n        setHasClickedUpload(false);\n        setActiveKnowledgeBase(knowledgeBase);\n        fetchDocuments(knowledgeBase.id, false, knowledgeBase.source);\n      }\n    };\n\n    window.addEventListener(\n      \"selectNewKnowledgeBase\",\n      handleSelectNewKnowledgeBase as EventListener\n    );\n\n    return () => {\n      window.removeEventListener(\n        \"selectNewKnowledgeBase\",\n        handleSelectNewKnowledgeBase as EventListener\n      );\n    };\n  }, [\n    kbState.knowledgeBases,\n    setActiveKnowledgeBase,\n    fetchDocuments,\n    setIsCreatingMode,\n    setHasClickedUpload,\n  ]);\n\n  // User configuration loading and saving logic based on isActive state\n  const prevIsActiveRef = useRef<boolean | null>(null); // Initialize as null to distinguish first render\n  const hasLoadedRef = useRef(false); // Track whether configuration has been loaded\n  const hasCleanedRef = useRef(false); // Ensure auto-deselect runs only once per entry\n\n  // Listen for isActive state changes\n  useLayoutEffect(() => {\n    // Clear cache that might affect state\n    localStorage.removeItem(\"preloaded_kb_data\");\n    localStorage.removeItem(\"kb_cache\");\n\n    const prevIsActive = prevIsActiveRef.current;\n\n    // Mark ready to load when entering second page\n    if ((prevIsActive === null || !prevIsActive) && isActive) {\n      hasLoadedRef.current = false; // Reset loading state\n      hasCleanedRef.current = false; // Reset auto-clean flag on entering\n    }\n\n    // Update ref\n    prevIsActiveRef.current = isActive;\n  }, [isActive]);\n\n  // Separately listen for knowledge base loading state, load user configuration when knowledge base loading is complete and in active state\n  useEffect(() => {\n    // Only execute when second page is active, knowledge base is loaded, and user configuration hasn't been loaded yet\n    if (\n      isActive &&\n      kbState.knowledgeBases.length > 0 &&\n      !kbState.isLoading &&\n      !hasLoadedRef.current\n    ) {\n      hasLoadedRef.current = true;\n    }\n  }, [isActive, kbState.knowledgeBases.length, kbState.isLoading]);\n\n  // Auto-deselect incompatible knowledge bases once after selections are loaded and page is active\n  useEffect(() => {\n    if (!isActive) return;\n    if (!hasLoadedRef.current) return; // ensure user selections loaded\n    if (kbState.isLoading) return; // avoid running during list loading\n    if (hasCleanedRef.current) return; // run once per entry\n\n    const embeddingName = modelConfig?.embedding?.modelName?.trim() || \"\";\n    const multiEmbeddingName =\n      modelConfig?.multiEmbedding?.modelName?.trim() || \"\";\n\n    const allowedModels = new Set<string>();\n    if (embeddingName) allowedModels.add(embeddingName);\n    if (multiEmbeddingName) allowedModels.add(multiEmbeddingName);\n\n    hasCleanedRef.current = true;\n  }, [\n    isActive,\n    kbState.isLoading,\n    kbState.knowledgeBases,\n    modelConfig?.embedding?.modelName,\n    modelConfig?.multiEmbedding?.modelName,\n    kbDispatch,\n  ]);\n\n  // Generate unique knowledge base name\n  const generateUniqueKbName = (existingKbs: KnowledgeBase[]): string => {\n    const baseNamePrefix = t(\"knowledgeBase.name.new\");\n    const existingNames = new Set(existingKbs.map((kb) => kb.name));\n\n    // If base name is not used, return directly\n    if (!existingNames.has(baseNamePrefix)) {\n      return baseNamePrefix;\n    }\n\n    // Otherwise try adding numeric suffix until finding unused name\n    let counter = 1;\n    while (existingNames.has(`${baseNamePrefix}${counter}`)) {\n      counter++;\n    }\n\n    return `${baseNamePrefix}${counter}`;\n  };\n\n  // Handle knowledge base click logic, set current active knowledge base\n  const handleKnowledgeBaseClick = (\n    kb: KnowledgeBase,\n    fromUserClick: boolean = true\n  ) => {\n    // Only reset creation mode when user clicks\n    if (fromUserClick) {\n      setIsCreatingMode(false); // Reset creating mode\n      setHasClickedUpload(false); // Reset upload button click state\n    }\n\n    // Whether switching knowledge base or not, need to get latest document information\n    const isChangingKB =\n      !kbState.activeKnowledgeBase || kb.id !== kbState.activeKnowledgeBase.id;\n\n    // If switching knowledge base, update active state and clear newly created flag\n    if (isChangingKB) {\n      setActiveKnowledgeBase(kb);\n      // Clear newly created flag when switching to a different knowledge base\n      if (newlyCreatedKbId !== null && newlyCreatedKbId !== kb.id) {\n        setNewlyCreatedKbId(null);\n      }\n    }\n\n    // Set active knowledge base ID to polling service\n    knowledgeBasePollingService.setActiveKnowledgeBase(kb.id);\n\n    // Call knowledge base switch handling function\n    handleKnowledgeBaseChange(kb);\n  };\n\n  // Handle knowledge base change event\n  const handleKnowledgeBaseChange = async (kb: KnowledgeBase) => {\n    try {\n      // Set loading state before fetching documents\n      docDispatch({\n        type: DOCUMENT_ACTION_TYPES.SET_LOADING_DOCUMENTS,\n        payload: true,\n      });\n\n      // Get latest document data\n      const documents = await knowledgeBaseService.getAllFiles(\n        kb.id,\n        kb.source\n      );\n\n      // Trigger document update event\n      knowledgeBasePollingService.triggerDocumentsUpdate(kb.id, documents);\n\n      // Background update knowledge base statistics, but don't duplicate document fetching\n      setTimeout(async () => {\n        try {\n          // Directly call fetchKnowledgeBases to update knowledge base list data\n          await fetchKnowledgeBases(false, true);\n        } catch (error) {\n          log.error(\"获取知识库最新数据失败:\", error);\n        }\n      }, 100);\n    } catch (error) {\n      log.error(\"获取文档列表失败:\", error);\n      message.error(t(\"knowledgeBase.message.getDocumentsFailed\"));\n      docDispatch({\n        type: \"ERROR\",\n        payload: t(\"knowledgeBase.message.getDocumentsFailed\"),\n      });\n    }\n  };\n\n  // Add a drag and drop upload related handler function\n  const handleDragOver = (e: React.DragEvent) => {\n    e.preventDefault();\n    setDragging(true);\n  };\n\n  const handleDragLeave = () => {\n    setDragging(false);\n  };\n\n  const handleDrop = (e: React.DragEvent) => {\n    e.preventDefault();\n    setDragging(false);\n\n    // If in creation mode or has active knowledge base, process files\n    // Do not allow uploads when active KB source is datamate\n    if (\n      kbState.activeKnowledgeBase &&\n      kbState.activeKnowledgeBase.source === \"datamate\" &&\n      !isCreatingMode\n    ) {\n      message.warning(t(\"document.message.uploadDisabledForDataMate\"));\n      return;\n    }\n\n    if (isCreatingMode || kbState.activeKnowledgeBase) {\n      const files = Array.from(e.dataTransfer.files);\n      if (files.length > 0) {\n        setUploadFiles(files);\n        handleFileUpload();\n      }\n    } else {\n      message.warning(t(\"knowledgeBase.message.selectFirst\"));\n    }\n  };\n\n  // Handle knowledge base deletion\n  const handleDelete = (id: string) => {\n    // Find the knowledge base to check its source\n    const kb = kbState.knowledgeBases.find((kb) => kb.id === id);\n\n    if (kb?.source === \"datamate\") {\n      // Show informational message for DataMate knowledge bases\n      Modal.info({\n        title: t(\"knowledgeBase.modal.deleteDataMate.title\", { name: kb.name }),\n        content: t(\"knowledgeBase.modal.deleteDataMate.content\"),\n        okText: t(\"common.confirm\"),\n        centered: true,\n      });\n      return;\n    }\n\n    // Normal delete confirmation for local knowledge bases\n    confirm({\n      title: t(\"knowledgeBase.modal.deleteConfirm.title\"),\n      content: t(\"knowledgeBase.modal.deleteConfirm.content\"),\n      okText: t(\"common.confirm\"),\n      cancelText: t(\"common.cancel\"),\n      danger: true,\n      onOk: async () => {\n        try {\n          await deleteKnowledgeBase(id);\n\n          // Clear preloaded data, force fetch latest data from server\n          localStorage.removeItem(\"preloaded_kb_data\");\n\n          // Delay 1 second before refreshing knowledge base list to ensure backend processing is complete\n          setTimeout(async () => {\n            await fetchKnowledgeBases(false, false);\n            message.success(t(\"knowledgeBase.message.deleteSuccess\"));\n          }, 1000);\n        } catch (error) {\n          message.error(t(\"knowledgeBase.message.deleteError\"));\n        }\n      },\n    });\n  };\n\n  // Handle knowledge base sync (includes both indices and DataMate sync and create records)\n  const handleSync = async () => {\n    // Set sync loading state\n    kbDispatch({\n      type: KNOWLEDGE_BASE_ACTION_TYPES.SET_SYNC_LOADING,\n      payload: true,\n    });\n\n    try {\n      // Check if ModelEngine is enabled to determine sync behavior\n      if (modelEngineEnabled) {\n        // When ModelEngine is enabled, sync both local and DataMate knowledge bases\n        await refreshKnowledgeBaseDataWithDataMate();\n      } else {\n        // When ModelEngine is disabled, only sync local knowledge bases\n        await refreshKnowledgeBaseData(true);\n      }\n\n      // Use unified success message\n      message.success(t(\"knowledgeBase.message.syncSuccess\"));\n    } catch (error) {\n      // Check if it's a DataMate sync error\n      if (error instanceof Error && error.name === \"DataMateSyncError\") {\n        // Show DataMate-specific friendly error message\n        message.error(t(\"knowledgeBase.message.syncDataMateError\"));\n      } else {\n        // Use unified error message\n        message.error(t(\"knowledgeBase.message.syncError\"));\n      }\n    } finally {\n      // Clear sync loading state\n      kbDispatch({\n        type: KNOWLEDGE_BASE_ACTION_TYPES.SET_SYNC_LOADING,\n        payload: false,\n      });\n    }\n  };\n\n  // Handle DataMate configuration\n  const [showDataMateConfigModal, setShowDataMateConfigModal] = useState(false);\n  const [dataMateUrl, setDataMateUrl] = useState(\"\");\n  const [dataMateUrlError, setDataMateUrlError] = useState<string | null>(null);\n\n  /**\n   * Validate DataMate URL format\n   * @param url URL to validate\n   * @returns Error message if invalid, null if valid\n   */\n  const validateDataMateUrl = useCallback(\n    (url: string): string | null => {\n      if (!url || url.trim() === \"\") {\n        return null; // Empty URL is valid (optional field)\n      }\n\n      // Check if URL has http:// or https:// protocol\n      if (!url.startsWith(\"http://\") && !url.startsWith(\"https://\")) {\n        return t(\"knowledgeBase.error.invalidUrlProtocol\");\n      }\n\n      // Check if URL is a valid format (has hostname)\n      try {\n        const urlObj = new URL(url);\n        if (!urlObj.hostname || urlObj.hostname.trim() === \"\") {\n          return t(\"knowledgeBase.error.invalidUrlFormat\");\n        }\n      } catch {\n        return t(\"knowledgeBase.error.invalidUrlFormat\");\n      }\n\n      return null; // Valid URL\n    },\n    [t]\n  );\n\n  // Monitor DataMate URL changes and validate\n  useEffect(() => {\n    // Clear error when URL changes\n    if (dataMateUrlError) {\n      setDataMateUrlError(null);\n    }\n  }, [dataMateUrl]);\n\n  const handleDataMateConfig = () => {\n    setShowDataMateConfigModal(true);\n  };\n\n  const handleDataMateConfigSave = async () => {\n    // Validate URL format before saving\n    const urlError = validateDataMateUrl(dataMateUrl);\n    if (urlError) {\n      setDataMateUrlError(urlError);\n      return;\n    }\n\n    // Test connection and sync if URL is provided (non-empty)\n    if (dataMateUrl.trim() !== \"\") {\n      setDataMateUrlError(t(\"knowledgeBase.message.testingConnection\"));\n      try {\n        // First test basic connection\n        const connectionResult =\n          await knowledgeBaseService.testDataMateConnection(dataMateUrl);\n        if (!connectionResult.success) {\n          setDataMateUrlError(t(\"knowledgeBase.error.connectionFailed\"));\n          return;\n        }\n\n        // Then test the actual sync endpoint (sync_datamate_knowledge)\n        // This is the actual operation that will be used when syncing knowledge bases\n        setDataMateUrlError(t(\"knowledgeBase.message.testingSync\"));\n        await knowledgeBaseService.syncDataMateAndCreateRecords(dataMateUrl);\n      } catch (error) {\n        setDataMateUrlError(t(\"knowledgeBase.error.syncFailed\"));\n        return;\n      }\n    }\n\n    // Clear any previous error and proceed with saving\n    setDataMateUrlError(null);\n\n    try {\n      const currentConfig = config;\n      const updatedConfig = {\n        ...currentConfig,\n        app: {\n          ...currentConfig.app,\n          datamateUrl: dataMateUrl,\n        },\n      };\n\n      updateConfig(updatedConfig);\n\n      const ok = await saveConfig(updatedConfig as any);\n      if (!ok) {\n        message.error(t(\"knowledgeBase.message.dataMateConfigError\"));\n        return;\n      }\n\n      message.success(t(\"knowledgeBase.message.dataMateConfigSaved\"));\n      setDataMateUrl(dataMateUrl);\n      await handleSync();\n      setShowDataMateConfigModal(false);\n    } catch (error) {\n      log.error(\"Failed to save DataMate configuration:\", error);\n      message.error(t(\"knowledgeBase.message.dataMateConfigError\"));\n    }\n  };\n\n  // Handle new knowledge base creation\n  const handleCreateNew = () => {\n    // Clear active knowledge base selection when entering create mode\n    // This prevents issues with chunk loading from previously selected KB\n    setActiveKnowledgeBase(null);\n\n    // Generate default knowledge base name\n    const defaultName = generateUniqueKbName(kbState.knowledgeBases);\n    setNewKbName(defaultName);\n    setNewKbIngroupPermission(\"READ_ONLY\");\n    setNewKbGroupIds([]);\n    setIsCreatingMode(true);\n    setHasClickedUpload(false); // Reset upload button click state\n    setUploadFiles([]); // Reset upload files array, clear all pending upload files\n  };\n\n  // Handle document deletion\n  const handleDeleteDocument = (docId: string) => {\n    const kbId = kbState.activeKnowledgeBase?.id;\n    if (!kbId) return;\n\n    confirm({\n      title: t(\"document.modal.deleteConfirm.title\"),\n      content: t(\"document.modal.deleteConfirm.content\"),\n      okText: t(\"common.confirm\"),\n      cancelText: t(\"common.cancel\"),\n      danger: true,\n      onOk: async () => {\n        try {\n          await deleteDocument(kbId, docId);\n          message.success(t(\"document.message.deleteSuccess\"));\n        } catch (error) {\n          message.error(t(\"document.message.deleteError\"));\n        }\n      },\n    });\n  };\n\n  // Handle file upload - in creation mode create knowledge base first then upload, in normal mode upload directly\n  const handleFileUpload = async () => {\n    if (!uploadFiles.length) {\n      message.warning(t(\"document.message.noFiles\"));\n      return;\n    }\n    const filesToUpload = uploadFiles;\n\n    if (isCreatingMode) {\n      if (!newKbName || newKbName.trim() === \"\") {\n        message.warning(t(\"knowledgeBase.message.nameRequired\"));\n        return;\n      }\n\n      setHasClickedUpload(true);\n\n      try {\n        const nameExistsResult =\n          await knowledgeBaseService.checkKnowledgeBaseNameExists(\n            newKbName.trim()\n          );\n\n        if (nameExistsResult) {\n          message.error(\n            t(\"knowledgeBase.message.nameExists\", { name: newKbName.trim() })\n          );\n          setHasClickedUpload(false);\n          return;\n        }\n\n        const newKB = await createKnowledgeBase(\n          newKbName.trim(),\n          t(\"knowledgeBase.description.default\"),\n          \"elasticsearch\",\n          newKbIngroupPermission,\n          newKbGroupIds\n        );\n\n        if (!newKB) {\n          message.error(t(\"knowledgeBase.message.createError\"));\n          setHasClickedUpload(false);\n          return;\n        }\n\n        setIsCreatingMode(false);\n        setActiveKnowledgeBase(newKB);\n        knowledgeBasePollingService.setActiveKnowledgeBase(newKB.id);\n        setHasClickedUpload(false);\n        setNewlyCreatedKbId(newKB.id); // Mark this KB as newly created\n\n        await uploadDocuments(newKB.id, filesToUpload);\n        setUploadFiles([]);\n\n        knowledgeBasePollingService\n          .handleNewKnowledgeBaseCreation(\n            newKB.id,\n            newKB.name,\n            0,\n            filesToUpload.length,\n            (populatedKB) => {\n              setActiveKnowledgeBase(populatedKB);\n              knowledgeBasePollingService.triggerKnowledgeBaseListUpdate(true);\n              // Clear the newly created flag when documents are ready\n              setNewlyCreatedKbId(null);\n            }\n          )\n          .catch((pollingError) => {\n            log.error(\"Knowledge base creation polling failed:\", pollingError);\n            // Clear the flag even on error to avoid stuck loading state\n            setNewlyCreatedKbId(null);\n          });\n      } catch (error) {\n        log.error(t(\"knowledgeBase.error.createUpload\"), error);\n        message.error(t(\"knowledgeBase.message.createUploadError\"));\n        setHasClickedUpload(false);\n      }\n      return;\n    }\n\n    const kbId = kbState.activeKnowledgeBase?.id;\n    if (!kbId) {\n      message.warning(t(\"knowledgeBase.message.selectFirst\"));\n      return;\n    }\n\n    try {\n      await uploadDocuments(kbId, filesToUpload);\n      setUploadFiles([]);\n\n      knowledgeBasePollingService.triggerKnowledgeBaseListUpdate(true);\n\n      knowledgeBasePollingService.startDocumentStatusPolling(\n        kbId,\n        (documents) => {\n          knowledgeBasePollingService.triggerDocumentsUpdate(kbId, documents);\n          window.dispatchEvent(\n            new CustomEvent(\"documentsUpdated\", {\n              detail: { kbId, documents },\n            })\n          );\n        }\n      );\n    } catch (error) {\n      log.error(t(\"document.error.upload\"), error);\n      message.error(t(\"document.message.uploadError\"));\n    }\n  };\n\n  // File selection handling\n  const handleFileSelect = (files: File[]) => {\n    if (files && files.length > 0) {\n      setUploadFiles(files);\n    }\n  };\n\n  // Get current viewing knowledge base documents\n  const viewingDocuments = (() => {\n    // In creation mode return empty array because new knowledge base has no documents yet\n    if (isCreatingMode) {\n      return [];\n    }\n\n    // In normal mode, use activeKnowledgeBase\n    return kbState.activeKnowledgeBase\n      ? docState.documentsMap[kbState.activeKnowledgeBase.id] || []\n      : [];\n  })();\n\n  // Get current knowledge base name\n  const viewingKbName =\n    kbState.activeKnowledgeBase?.name || (isCreatingMode ? newKbName : \"\");\n\n  // Check if current knowledge base is newly created and waiting for documents\n  const isNewlyCreatedAndWaiting =\n    newlyCreatedKbId !== null &&\n    kbState.activeKnowledgeBase?.id === newlyCreatedKbId &&\n    viewingDocuments.length === 0;\n\n  // As long as any document upload succeeds, immediately switch creation mode to false\n  useEffect(() => {\n    if (isCreatingMode && viewingDocuments.length > 0) {\n      setIsCreatingMode(false);\n    }\n  }, [isCreatingMode, viewingDocuments.length]);\n\n  // Clear newly created flag when documents arrive\n  useEffect(() => {\n    if (newlyCreatedKbId !== null && viewingDocuments.length > 0) {\n      setNewlyCreatedKbId(null);\n    }\n  }, [newlyCreatedKbId, viewingDocuments.length]);\n\n  // Update active knowledge base ID in polling service when component initializes or active knowledge base changes\n  useEffect(() => {\n    if (kbState.activeKnowledgeBase) {\n      knowledgeBasePollingService.setActiveKnowledgeBase(\n        kbState.activeKnowledgeBase.id\n      );\n    } else {\n      knowledgeBasePollingService.setActiveKnowledgeBase(null);\n    }\n  }, [kbState.activeKnowledgeBase, isCreatingMode, newKbName]);\n\n  // Clean up polling when component unmounts\n  useEffect(() => {\n    return () => {\n      // Stop all polling\n      knowledgeBasePollingService.stopAllPolling();\n    };\n  }, []);\n\n  // In creation mode, reset \"name already exists\" state when knowledge base name changes\n  const handleNameChange = (name: string) => {\n    setNewKbName(name);\n  };\n\n  // If Embedding model is not configured, show warning container instead of content\n  if (showEmbeddingWarning) {\n    return (\n      <div\n        className=\"w-full h-full mx-auto relative\"\n        style={{\n          maxWidth: SETUP_PAGE_CONTAINER.MAX_WIDTH,\n          padding: `0 ${SETUP_PAGE_CONTAINER.HORIZONTAL_PADDING}`,\n        }}\n      >\n        <div\n          className={STANDARD_CARD.BASE_CLASSES}\n          style={{\n            height: SETUP_PAGE_CONTAINER.MAIN_CONTENT_HEIGHT,\n            padding: STANDARD_CARD.PADDING,\n            display: \"flex\",\n            alignItems: \"center\",\n            justifyContent: \"center\",\n          }}\n        >\n          <div className=\"text-center\">\n            <WarningFilled\n              className=\"text-yellow-500 mb-4\"\n              style={{ fontSize: 48 }}\n            />\n            <div className=\"text-base text-gray-800 font-semibold\">\n              {t(\"embedding.knowledgeBaseDisabledWarningModal.title\")}\n            </div>\n          </div>\n        </div>\n      </div>\n    );\n  }\n\n  return (\n    <>\n      <div\n        className=\"w-full h-full mx-auto relative\"\n        style={{\n          maxWidth: SETUP_PAGE_CONTAINER.MAX_WIDTH,\n          padding: `0 ${SETUP_PAGE_CONTAINER.HORIZONTAL_PADDING}`,\n        }}\n        ref={contentRef}\n        onDragOver={handleDragOver}\n        onDragLeave={handleDragLeave}\n        onDrop={handleDrop}\n      >\n        <Row className=\"h-full w-full\" gutter={TWO_COLUMN_LAYOUT.GUTTER}>\n          <Col\n            className=\"h-full\"\n            xs={TWO_COLUMN_LAYOUT.LEFT_COLUMN.xs}\n            md={TWO_COLUMN_LAYOUT.LEFT_COLUMN.md}\n            lg={TWO_COLUMN_LAYOUT.LEFT_COLUMN.lg}\n            xl={TWO_COLUMN_LAYOUT.LEFT_COLUMN.xl}\n            xxl={TWO_COLUMN_LAYOUT.LEFT_COLUMN.xxl}\n          >\n            <KnowledgeBaseList\n              knowledgeBases={kbState.knowledgeBases}\n              activeKnowledgeBase={kbState.activeKnowledgeBase}\n              currentEmbeddingModel={kbState.currentEmbeddingModel}\n              isLoading={kbState.isLoading}\n              syncLoading={kbState.syncLoading}\n              onClick={handleKnowledgeBaseClick}\n              onDelete={handleDelete}\n              onSync={handleSync}\n              onCreateNew={handleCreateNew}\n              onDataMateConfig={handleDataMateConfig}\n              showDataMateConfig={modelEngineEnabled}\n              getModelDisplayName={(modelId) => modelId}\n              containerHeight={SETUP_PAGE_CONTAINER.MAIN_CONTENT_HEIGHT}\n              onKnowledgeBaseChange={() => {}} // No need to trigger repeatedly here as it's already handled in handleKnowledgeBaseClick\n              onKnowledgeBaseUpdate={(updatedKnowledgeBase) => {\n                // Update active knowledge base in context when it's updated\n                if (kbState.activeKnowledgeBase && kbState.activeKnowledgeBase.id === updatedKnowledgeBase.id) {\n                  setActiveKnowledgeBase(updatedKnowledgeBase);\n                }\n              }}\n              // Search and filter props\n              searchQuery={searchQuery}\n              onSearchChange={setSearchQuery}\n              sourceFilter={sourceFilter}\n              onSourceFilterChange={(values) =>\n                setSourceFilter(\n                  Array.isArray(values) ? values : values ? [values] : []\n                )\n              }\n              modelFilter={modelFilter}\n              onModelFilterChange={(values) =>\n                setModelFilter(\n                  Array.isArray(values) ? values : values ? [values] : []\n                )\n              }\n            />\n          </Col>\n\n          <Col\n            className=\"h-full\"\n            xs={TWO_COLUMN_LAYOUT.RIGHT_COLUMN.xs}\n            md={TWO_COLUMN_LAYOUT.RIGHT_COLUMN.md}\n            lg={TWO_COLUMN_LAYOUT.RIGHT_COLUMN.lg}\n            xl={TWO_COLUMN_LAYOUT.RIGHT_COLUMN.xl}\n            xxl={TWO_COLUMN_LAYOUT.RIGHT_COLUMN.xxl}\n          >\n            {isCreatingMode ? (\n              <DocumentList\n                key=\"create-mode\"\n                documents={[]}\n                onDelete={() => {}}\n                knowledgeBaseSource={\"\"}\n                isCreatingMode={true}\n                knowledgeBaseId={\"\"}\n                knowledgeBaseName={newKbName}\n                onNameChange={handleNameChange}\n                containerHeight={SETUP_PAGE_CONTAINER.MAIN_CONTENT_HEIGHT}\n                hasDocuments={hasClickedUpload || docState.isUploading}\n                // Group permission and user groups for create mode\n                ingroupPermission={newKbIngroupPermission}\n                onIngroupPermissionChange={setNewKbIngroupPermission}\n                selectedGroupIds={newKbGroupIds}\n                onSelectedGroupIdsChange={setNewKbGroupIds}\n                // Upload related props\n                isDragging={uiState.isDragging}\n                onDragOver={handleDragOver}\n                onDragLeave={handleDragLeave}\n                onDrop={handleDrop}\n                onFileSelect={handleFileSelect}\n                onUpload={() => handleFileUpload()}\n                isUploading={docState.isUploading}\n              />\n            ) : kbState.activeKnowledgeBase ? (\n              <DocumentList\n                key={`kb-${kbState.activeKnowledgeBase.id}`}\n                documents={viewingDocuments}\n                onDelete={handleDeleteDocument}\n                knowledgeBaseSource={kbState.activeKnowledgeBase?.source}\n                knowledgeBaseId={kbState.activeKnowledgeBase.id}\n                knowledgeBaseName={viewingKbName}\n                modelMismatch={hasKnowledgeBaseModelMismatch(\n                  kbState.activeKnowledgeBase\n                )}\n                currentModel={kbState.currentEmbeddingModel || \"\"}\n                knowledgeBaseModel={kbState.activeKnowledgeBase.embeddingModel}\n                embeddingModelInfo={\n                  hasKnowledgeBaseModelMismatch(kbState.activeKnowledgeBase)\n                    ? t(\"document.modelMismatch.withModels\", {\n                        currentModel: kbState.currentEmbeddingModel || \"\",\n                        knowledgeBaseModel:\n                          kbState.activeKnowledgeBase.embeddingModel,\n                      })\n                    : undefined\n                }\n                containerHeight={SETUP_PAGE_CONTAINER.MAIN_CONTENT_HEIGHT}\n                hasDocuments={viewingDocuments.length > 0}\n                isNewlyCreatedAndWaiting={isNewlyCreatedAndWaiting}\n                onChunkCountChange={() => {\n                  // Trigger knowledge base list update to refresh chunk count\n                  knowledgeBasePollingService.triggerKnowledgeBaseListUpdate(true);\n                }}\n                  permission={kbState.activeKnowledgeBase?.permission}\n                // Upload related props\n                isDragging={uiState.isDragging}\n                onDragOver={handleDragOver}\n                onDragLeave={handleDragLeave}\n                onDrop={handleDrop}\n                onFileSelect={handleFileSelect}\n                onUpload={() => handleFileUpload()}\n                isUploading={docState.isUploading}\n              />\n            ) : (\n              <div\n                className={`${STANDARD_CARD.BASE_CLASSES} flex flex-col h-full w-full`}\n                style={{\n                  padding: STANDARD_CARD.PADDING,\n                }}\n              >\n                <EmptyState\n                  title={t(\"knowledgeBase.empty.title\")}\n                  description={t(\"knowledgeBase.empty.description\")}\n                  icon={\n                    <InfoCircleFilled\n                      style={{ fontSize: 36, color: \"#1677ff\" }}\n                    />\n                  }\n                  containerHeight=\"100%\"\n                />\n              </div>\n            )}\n          </Col>\n        </Row>\n      </div>\n\n      <Modal\n        open={showAutoDeselectModal}\n        title={null}\n        onOk={() => setShowAutoDeselectModal(false)}\n        onCancel={() => setShowAutoDeselectModal(false)}\n        okText={t(\"common.confirm\")}\n        cancelButtonProps={{ style: { display: \"none\" } }}\n        centered\n        okButtonProps={{ type: \"primary\", danger: true }}\n        getContainer={() => contentRef.current || document.body}\n      >\n        <div className=\"flex items-start gap-4\">\n          <ExclamationCircleFilled\n            style={{\n              color: token.colorWarning,\n              fontSize: \"22px\",\n              marginTop: \"2px\",\n            }}\n          />\n          <div className=\"flex-1\">\n            <div className=\"text-base font-medium mb-3\">\n              {t(\"embedding.knowledgeBaseAutoDeselectModal.title\")}\n            </div>\n            <div className=\"text-sm leading-6\">\n              {t(\"embedding.knowledgeBaseAutoDeselectModal.content\")}\n            </div>\n          </div>\n        </div>\n      </Modal>\n\n      <Modal\n        open={showDataMateConfigModal}\n        title={t(\"knowledgeBase.modal.dataMateConfig.title\")}\n        onOk={handleDataMateConfigSave}\n        onCancel={() => {\n          setShowDataMateConfigModal(false);\n          // Clear error state\n          setDataMateUrlError(null);\n          // Reload config to ensure we have the latest values\n          loadDataMateConfig();\n        }}\n        okText={t(\"common.save\")}\n        cancelText={t(\"common.cancel\")}\n        centered\n        getContainer={() => contentRef.current || document.body}\n        confirmLoading={kbState.syncLoading}\n      >\n        <div className=\"space-y-4\">\n          <div className=\"text-sm text-gray-600\">\n            {t(\"knowledgeBase.modal.dataMateConfig.description\")}\n          </div>\n          <Form layout=\"vertical\">\n            <Form.Item\n              label={t(\"knowledgeBase.modal.dataMateConfig.urlLabel\")}\n              help={dataMateUrlError}\n              validateStatus={dataMateUrlError ? \"error\" : undefined}\n            >\n              <Input\n                value={dataMateUrl}\n                onChange={(e) => setDataMateUrl(e.target.value)}\n                onBlur={() => {\n                  // Validate on blur\n                  const error = validateDataMateUrl(dataMateUrl);\n                  setDataMateUrlError(error);\n                }}\n                placeholder={t(\n                  \"knowledgeBase.modal.dataMateConfig.urlPlaceholder\"\n                )}\n              />\n            </Form.Item>\n          </Form>\n        </div>\n      </Modal>\n    </>\n  );\n}\n"
  },
  {
    "path": "frontend/app/[locale]/knowledges/components/document/DocumentChunk.tsx",
    "content": "\"use client\";\n\nimport React, { useState, useEffect, useRef } from \"react\";\nimport { useTranslation } from \"react-i18next\";\nimport {\n  Tabs,\n  Card,\n  Badge,\n  Button,\n  App,\n  Spin,\n  Tag,\n  Form,\n  Modal,\n  Pagination,\n  Input,\n} from \"antd\";\nimport { useConfirmModal } from \"@/hooks/useConfirmModal\";\nimport {\n  Download,\n  ScanText,\n  Trash2,\n  SquarePen,\n  Search,\n  FilePlus2,\n  Goal,\n  X,\n  Server,\n  Database,\n} from \"lucide-react\";\nimport { FieldNumberOutlined } from \"@ant-design/icons\";\nimport knowledgeBaseService from \"@/services/knowledgeBaseService\";\nimport { Document } from \"@/types/knowledgeBase\";\nimport log from \"@/lib/logger\";\nimport { formatScoreAsPercentage, getScoreColor } from \"@/lib/utils\";\nimport { Tooltip, TooltipProvider } from \"@/components/ui/tooltip\";\n\ninterface Chunk {\n  id: string;\n  content: string;\n  title?: string;\n  path_or_url?: string;\n  filename?: string;\n  create_time?: string;\n  score?: number; // Search score (0-1 range) - only present in search results\n  source_type?: string; // Source type: \"file\" (nexent) or \"datamate\"\n}\n\ninterface ChunkFormValues {\n  title?: string;\n  filename?: string;\n  content: string;\n}\n\ninterface DocumentChunkProps {\n  knowledgeBaseName: string; // User-facing knowledge base name (display name)\n  knowledgeBaseId: string; // Internal knowledge base ID / Elasticsearch index name\n  documents: Document[];\n  getFileIcon: (type: string) => string;\n  currentEmbeddingModel?: string | null;\n  knowledgeBaseEmbeddingModel?: string;\n  onChunkCountChange?: () => void; // Callback when chunk count changes (for updating KnowledgeBaseList)\n  permission?: string; // User's permission for this knowledge base (READ_ONLY, EDIT, etc.)\n}\n\nconst PAGE_SIZE = 10;\n\nconst TABS_ROOT_CLASS = \"document-chunk-tabs\";\n\nconst { TextArea } = Input;\n\nconst DocumentChunk: React.FC<DocumentChunkProps> = ({\n  knowledgeBaseName,\n  knowledgeBaseId,\n  documents,\n  getFileIcon,\n  currentEmbeddingModel = null,\n  knowledgeBaseEmbeddingModel = \"\",\n  onChunkCountChange,\n  permission,\n}) => {\n  const { t } = useTranslation();\n  const { message } = App.useApp();\n  const { confirm } = useConfirmModal();\n  const [chunks, setChunks] = useState<Chunk[]>([]);\n  const [total, setTotal] = useState<number>(0);\n  const [loading, setLoading] = useState(false);\n  const [activeDocumentKey, setActiveDocumentKey] = useState<string>(\"\");\n  const [documentChunkCounts, setDocumentChunkCounts] = useState<\n    Record<string, number>\n  >({});\n  const [pagination, setPagination] = useState<{\n    page: number;\n    pageSize: number;\n  }>({\n    page: 1,\n    pageSize: PAGE_SIZE,\n  });\n  const [searchValue, setSearchValue] = useState<string>(\"\");\n  const [chunkSearchResult, setChunkSearchResult] = useState<Chunk[] | null>(\n    null\n  );\n  const [chunkSearchLoading, setChunkSearchLoading] = useState(false);\n  const [isChunkModalOpen, setIsChunkModalOpen] = useState(false);\n  const [chunkModalMode, setChunkModalMode] = useState<\"create\" | \"edit\">(\n    \"create\"\n  );\n  const [chunkSubmitting, setChunkSubmitting] = useState(false);\n  const [editingChunk, setEditingChunk] = useState<Chunk | null>(null);\n  const [chunkForm] = Form.useForm<ChunkFormValues>();\n  const [tooltipResetKey, setTooltipResetKey] = useState(0);\n  // Ref for scrolling to bottom after creating new chunk\n  const contentScrollRef = useRef<HTMLDivElement>(null);\n  const [scrollToBottomAfterLoad, setScrollToBottomAfterLoad] = useState(false);\n\n  const resetChunkSearch = React.useCallback(() => {\n    setChunkSearchResult(null);\n    setChunkSearchLoading(false);\n  }, []);\n\n  const isChunkSearchActive = chunkSearchResult !== null;\n  const activeDocument = React.useMemo(\n    () => documents.find((doc) => doc.id === activeDocumentKey),\n    [documents, activeDocumentKey]\n  );\n\n  const forceCloseTooltips = React.useCallback(() => {\n    setTooltipResetKey((prev) => prev + 1);\n  }, []);\n\n  // Determine if embedding models mismatch (specific condition for tooltip)\n  const isEmbeddingModelMismatch = React.useMemo(() => {\n    if (!currentEmbeddingModel || !knowledgeBaseEmbeddingModel) {\n      return false;\n    }\n    if (knowledgeBaseEmbeddingModel === \"unknown\") {\n      return false;\n    }\n    return currentEmbeddingModel !== knowledgeBaseEmbeddingModel;\n  }, [currentEmbeddingModel, knowledgeBaseEmbeddingModel]);\n\n  // Determine if in read-only mode (embedding model mismatch OR user has READ_ONLY permission)\n  // Note: isReadOnlyMode is broader, includes model mismatch and other conditions\n  const isReadOnlyMode = React.useMemo(() => {\n    // Check if user has READ_ONLY permission\n    if (permission === \"READ_ONLY\") {\n      return true;\n    }\n    if (!currentEmbeddingModel || !knowledgeBaseEmbeddingModel) {\n      return false;\n    }\n    if (knowledgeBaseEmbeddingModel === \"unknown\") {\n      return false;\n    }\n    return currentEmbeddingModel !== knowledgeBaseEmbeddingModel;\n  }, [currentEmbeddingModel, knowledgeBaseEmbeddingModel, permission]);\n\n  // Determine if search should be disabled (only when embedding model mismatch, NOT for READ_ONLY permission)\n  // This allows READ_ONLY users to still perform search\n  const isSearchDisabled = React.useMemo(() => {\n    if (!currentEmbeddingModel || !knowledgeBaseEmbeddingModel) {\n      return false;\n    }\n    if (knowledgeBaseEmbeddingModel === \"unknown\") {\n      return false;\n    }\n    return currentEmbeddingModel !== knowledgeBaseEmbeddingModel;\n  }, [currentEmbeddingModel, knowledgeBaseEmbeddingModel]);\n\n  // Disabled tooltip message when embedding model mismatch\n  const disabledTooltipMessage = React.useMemo(() => {\n    if (isEmbeddingModelMismatch && currentEmbeddingModel && knowledgeBaseEmbeddingModel && knowledgeBaseEmbeddingModel !== \"unknown\") {\n      return t(\"document.chunk.tooltip.disabledDueToModelMismatch\", {\n        currentModel: currentEmbeddingModel,\n        knowledgeBaseModel: knowledgeBaseEmbeddingModel\n      });\n    }\n    return \"\";\n  }, [isEmbeddingModelMismatch, currentEmbeddingModel, knowledgeBaseEmbeddingModel, t]);\n\n  // Set active document when documents change\n  useEffect(() => {\n    if (documents.length === 0) {\n      if (activeDocumentKey) {\n        setActiveDocumentKey(\"\");\n      }\n      setChunks([]);\n      setTotal(0);\n      return;\n    }\n\n    const hasActiveDocument = documents.some(\n      (doc) => doc.id === activeDocumentKey\n    );\n\n    if (!hasActiveDocument) {\n      setActiveDocumentKey(documents[0].id);\n      setPagination((prev) => ({ ...prev, page: 1 }));\n    }\n  }, [documents, activeDocumentKey]);\n\n  // Load chunks for active document with server-side pagination\n  const loadChunks = React.useCallback(async () => {\n    if (!knowledgeBaseName || !activeDocumentKey) {\n      return;\n    }\n\n    setLoading(true);\n    try {\n      const result = await knowledgeBaseService.previewChunksPaginated(\n        knowledgeBaseName,\n        pagination.page,\n        pagination.pageSize,\n        activeDocumentKey\n      );\n\n      const loadedChunks = result.chunks || [];\n      setTotal(result.total || 0);\n      setDocumentChunkCounts((prev) => ({\n        ...prev,\n        [activeDocumentKey]: result.total || 0,\n      }));\n\n      setChunks(loadedChunks);\n\n      // Scroll to bottom after loading if requested (e.g., after creating new chunk)\n      if (scrollToBottomAfterLoad) {\n        setScrollToBottomAfterLoad(false);\n        // Use setTimeout to ensure DOM is updated\n        setTimeout(() => {\n          if (contentScrollRef.current) {\n            contentScrollRef.current.scrollTop = contentScrollRef.current.scrollHeight;\n          }\n        }, 100);\n      }\n    } catch (error) {\n      log.error(\"Failed to load chunks:\", error);\n      message.error(t(\"document.chunk.error.loadFailed\"));\n    } finally {\n      setLoading(false);\n    }\n  }, [\n    knowledgeBaseName,\n    activeDocumentKey,\n    pagination.page,\n    pagination.pageSize,\n    scrollToBottomAfterLoad,\n    message,\n    t,\n  ]);\n\n  useEffect(() => {\n    void loadChunks();\n  }, [loadChunks]);\n\n  useEffect(() => {\n    if (documents.length === 0) {\n      setDocumentChunkCounts({});\n      setActiveDocumentKey(\"\");\n      return;\n    }\n\n    setDocumentChunkCounts((prev) => {\n      const next = { ...prev };\n      const docIds = new Set<string>();\n\n      documents.forEach((doc) => {\n        docIds.add(doc.id);\n\n        if (\n          typeof doc.chunk_num === \"number\" &&\n          doc.chunk_num >= 0 &&\n          next[doc.id] !== doc.chunk_num\n        ) {\n          next[doc.id] = doc.chunk_num;\n        }\n      });\n\n      Object.keys(next).forEach((docId) => {\n        if (!docIds.has(docId)) {\n          delete next[docId];\n        }\n      });\n\n      return next;\n    });\n  }, [documents]);\n\n  // Handle document tab change\n  const handleTabChange = (key: string) => {\n    setActiveDocumentKey(key);\n    setChunks([]);\n    setTotal(documentChunkCounts[key] ?? 0);\n    setPagination((prev) => ({ ...prev, page: 1 }));\n  };\n\n  // Handle pagination change\n  const handlePaginationChange = (page: number, pageSize: number) => {\n    setPagination({ page, pageSize });\n  };\n\n  const getDisplayName = React.useCallback((name: string): string => {\n    const lastDotIndex = name.lastIndexOf(\".\");\n    if (lastDotIndex <= 0) {\n      return name;\n    }\n    return name.substring(0, lastDotIndex);\n  }, []);\n\n  // Clear search input and reset all search states\n  const handleClearSearch = React.useCallback(() => {\n    setSearchValue(\"\");\n    resetChunkSearch();\n  }, [resetChunkSearch]);\n\n  const handleSearch = React.useCallback(async () => {\n    const trimmedValue = searchValue.trim();\n\n    if (!trimmedValue) {\n      resetChunkSearch();\n      return;\n    }\n\n    // Check embedding model consistency before searching\n    if (isEmbeddingModelMismatch && currentEmbeddingModel && knowledgeBaseEmbeddingModel && knowledgeBaseEmbeddingModel !== \"unknown\") {\n      message.error(t(\"document.chunk.error.searchFailed\", {\n        currentModel: currentEmbeddingModel,\n        knowledgeBaseModel: knowledgeBaseEmbeddingModel\n      }));\n      return;\n    }\n\n    if (!knowledgeBaseName) {\n      message.error(t(\"document.chunk.error.searchFailed\"));\n      return;\n    }\n\n    setChunkSearchResult([]);\n    setChunkSearchLoading(true);\n\n    try {\n      const response = await knowledgeBaseService.hybridSearch(\n        knowledgeBaseId,\n        trimmedValue,\n        {\n          topK: pagination.pageSize,\n        }\n      );\n\n      const parsedChunks = (response.results || []).map((item) => {\n        // Backend returns document fields at the top level\n        return {\n          id: item.id || \"\",\n          content: item.content || \"\",\n          path_or_url: item.path_or_url,\n          filename: item.filename,\n          create_time: item.create_time,\n          score: item.score, // Preserve search score for display\n          source_type: item.source_type, // Preserve source type for display\n        };\n      });\n\n      setChunkSearchResult(parsedChunks);\n\n      if (parsedChunks.length === 0) {\n        message.info(t(\"document.chunk.search.noChunk\"));\n      }\n    } catch (error) {\n      log.error(\"Failed to search chunks:\", error);\n      message.error(t(\"document.chunk.error.searchFailed\"));\n      resetChunkSearch();\n    } finally {\n      setChunkSearchLoading(false);\n    }\n  }, [\n    knowledgeBaseName,\n    knowledgeBaseId,\n    message,\n    pagination.pageSize,\n    resetChunkSearch,\n    searchValue,\n    t,\n    isEmbeddingModelMismatch,\n    currentEmbeddingModel,\n    knowledgeBaseEmbeddingModel,\n  ]);\n\n  const refreshChunks = React.useCallback(async () => {\n    if (isChunkSearchActive && searchValue.trim()) {\n      await handleSearch();\n      return;\n    }\n    await loadChunks();\n  }, [handleSearch, isChunkSearchActive, loadChunks, searchValue]);\n\n  // Download chunk as txt file\n  const handleDownloadChunk = (chunk: Chunk) => {\n    try {\n      const content = chunk.content || \"\";\n      const blob = new Blob([content], { type: \"text/plain;charset=utf-8\" });\n      const url = URL.createObjectURL(blob);\n      const link = document.createElement(\"a\");\n      link.href = url;\n      link.download = `${chunk.id}.txt`;\n      document.body.appendChild(link);\n      link.click();\n      document.body.removeChild(link);\n      URL.revokeObjectURL(url);\n    } catch (error) {\n      log.error(\"Failed to download chunk:\", error);\n      message.error(t(\"document.chunk.error.downloadFailed\"));\n    }\n  };\n\n  const openCreateChunkModal = () => {\n    if (!activeDocumentKey) {\n      message.warning(t(\"document.chunk.search.noActiveDocument\"));\n      return;\n    }\n    forceCloseTooltips();\n    setChunkModalMode(\"create\");\n    setEditingChunk(null);\n    chunkForm.resetFields();\n    const filenameValue = activeDocument?.name || \"\";\n    chunkForm.setFieldsValue({\n      filename: filenameValue,\n      content: \"\",\n    });\n    setIsChunkModalOpen(true);\n  };\n\n  const openEditChunkModal = (chunk: Chunk) => {\n    if (!chunk.id) {\n      message.error(t(\"document.chunk.error.missingChunkId\"));\n      return;\n    }\n\n    forceCloseTooltips();\n    setChunkModalMode(\"edit\");\n    setEditingChunk(chunk);\n    chunkForm.resetFields();\n    chunkForm.setFieldsValue({\n      filename: chunk.filename || activeDocument?.name || \"\",\n      content: chunk.content || \"\",\n    });\n    setIsChunkModalOpen(true);\n  };\n\n  const closeChunkModal = () => {\n    setIsChunkModalOpen(false);\n    setEditingChunk(null);\n    chunkForm.resetFields();\n    forceCloseTooltips();\n  };\n\n  const handleChunkSubmit = async () => {\n    if (!knowledgeBaseName) {\n      message.error(t(\"document.chunk.error.loadFailed\"));\n      return;\n    }\n    if (!activeDocumentKey) {\n      message.warning(t(\"document.chunk.search.noActiveDocument\"));\n      return;\n    }\n\n    // Check embedding model consistency before creating chunk\n    if (chunkModalMode === \"create\") {\n      if (knowledgeBaseEmbeddingModel &&\n        knowledgeBaseEmbeddingModel !== \"unknown\" &&\n        currentEmbeddingModel &&\n        currentEmbeddingModel !== knowledgeBaseEmbeddingModel) {\n        message.error(t(\"document.chunk.error.createFailed\", {\n          currentModel: currentEmbeddingModel,\n          knowledgeBaseModel: knowledgeBaseEmbeddingModel\n        }));\n        return;\n      }\n    }\n\n    try {\n      const values = await chunkForm.validateFields();\n      setChunkSubmitting(true);\n      if (chunkModalMode === \"create\") {\n        const filenamePayload = values.filename?.trim() || undefined;\n        await knowledgeBaseService.createChunk(knowledgeBaseName, {\n          content: values.content,\n          filename: filenamePayload,\n          path_or_url: activeDocumentKey,\n        });\n        message.success(t(\"document.chunk.success.create\"));\n        resetChunkSearch();\n\n        // Navigate to the last page to show the new chunk at the bottom\n        const lastPage = Math.ceil((total + 1) / pagination.pageSize);\n        setPagination((prev) => ({ ...prev, page: lastPage }));\n        // Trigger scroll to bottom after data loads\n        setScrollToBottomAfterLoad(true);\n        // Notify parent to update knowledge base list (chunk count)\n        onChunkCountChange?.();\n      } else {\n        if (!editingChunk?.id) {\n          message.error(t(\"document.chunk.error.missingChunkId\"));\n          return;\n        }\n        await knowledgeBaseService.updateChunk(\n          knowledgeBaseName,\n          editingChunk.id,\n          {\n            content: values.content,\n            filename: values.filename?.trim() || undefined,\n          }\n        );\n        message.success(t(\"document.chunk.success.update\"));\n      }\n      closeChunkModal();\n      await refreshChunks();\n    } catch (error) {\n      if (error instanceof Error) {\n        log.error(\"Failed to submit chunk:\", error);\n      }\n      if (chunkModalMode === \"create\") {\n        message.error(\n          error instanceof Error && error.message\n            ? error.message\n            : t(\"document.chunk.error.createFailed\")\n        );\n      } else {\n        message.error(\n          error instanceof Error && error.message\n            ? error.message\n            : t(\"document.chunk.error.updateFailed\")\n        );\n      }\n    } finally {\n      setChunkSubmitting(false);\n    }\n  };\n\n  const handleDeleteChunk = (chunk: Chunk) => {\n    if (!chunk.id) {\n      message.error(t(\"document.chunk.error.missingChunkId\"));\n      return;\n    }\n    if (!knowledgeBaseName) {\n      message.error(t(\"document.chunk.error.deleteFailed\"));\n      return;\n    }\n\n    forceCloseTooltips();\n\n    confirm({\n      title: t(\"document.chunk.confirm.deleteTitle\"),\n      content: t(\"document.chunk.confirm.deleteContent\"),\n      okText: t(\"common.delete\"),\n      cancelText: t(\"common.cancel\"),\n      danger: true,\n      onOk: async () => {\n        try {\n          await knowledgeBaseService.deleteChunk(knowledgeBaseName, chunk.id);\n          message.success(t(\"document.chunk.success.delete\"));\n          forceCloseTooltips();\n          // Update chunk count immediately for better UX\n          setTotal((prevTotal) => Math.max(0, prevTotal - 1));\n          setDocumentChunkCounts((prev) => ({\n            ...prev,\n            [chunk.path_or_url || activeDocumentKey]: Math.max(\n              0,\n              (prev[chunk.path_or_url || activeDocumentKey] || 1) - 1\n            ),\n          }));\n          // Notify parent to update knowledge base list (chunk count)\n          onChunkCountChange?.();\n          await refreshChunks();\n        } catch (error) {\n          log.error(\"Failed to delete chunk:\", error);\n          message.error(\n            error instanceof Error && error.message\n              ? error.message\n              : t(\"document.chunk.error.deleteFailed\")\n          );\n        }\n      },\n      onCancel: () => {\n        forceCloseTooltips();\n      },\n    });\n  };\n\n  const renderDocumentLabel = (doc: Document, chunkCount: number) => {\n    const displayName = getDisplayName(doc.name || \"\");\n\n    return (\n      <Tooltip title={displayName} placement=\"top\">\n        <div className=\"flex w-full items-center justify-between gap-2 min-w-0\">\n          <div className=\"flex items-center gap-1.5 min-w-0\">\n            <span>{getFileIcon(doc.type)}</span>\n            <span className=\"truncate text-sm font-medium text-gray-800 max-w-[150px]\">\n              {displayName}\n            </span>\n          </div>\n          <Badge\n            color=\"#1677ff\"\n            showZero\n            count={chunkCount}\n            className=\"flex-shrink-0 chunk-count-badge\"\n          />\n        </div>\n      </Tooltip>\n    );\n  };\n\n  const chunkSearchResultMap = React.useMemo(() => {\n    if (!chunkSearchResult) {\n      return null;\n    }\n\n    return chunkSearchResult.reduce<Record<string, Chunk[]>>((acc, chunk) => {\n      const docId = chunk.path_or_url;\n      if (!docId) {\n        return acc;\n      }\n      if (!acc[docId]) {\n        acc[docId] = [];\n      }\n      acc[docId].push(chunk);\n      return acc;\n    }, {});\n  }, [chunkSearchResult]);\n\n  const tabItems = documents.map((doc) => {\n    const chunkCount = isChunkSearchActive\n      ? chunkSearchResultMap?.[doc.id]?.length ?? 0\n      : documentChunkCounts[doc.id] ?? doc.chunk_num ?? 0;\n    const isActive = doc.id === activeDocumentKey;\n    const chunkSearchChunks = chunkSearchResultMap?.[doc.id] ?? [];\n    const docChunksData = isActive\n      ? isChunkSearchActive\n        ? {\n            chunks: chunkSearchChunks,\n            total: chunkSearchChunks.length,\n            paginatedChunks: chunkSearchChunks,\n          }\n        : { chunks, total, paginatedChunks: chunks }\n      : { chunks: [], total: 0, paginatedChunks: [] };\n\n    const showLoadingState = isActive\n      ? isChunkSearchActive\n        ? chunkSearchLoading && docChunksData.paginatedChunks.length === 0\n        : loading && docChunksData.paginatedChunks.length === 0\n      : false;\n\n    return {\n      key: doc.id,\n      label: renderDocumentLabel(doc, chunkCount),\n      children: (\n        <div className=\"flex h-full flex-col min-h-0 overflow-hidden\">\n          <div ref={contentScrollRef} className=\"flex-1 min-h-0 overflow-y-auto p-4 pb-8\">\n            {showLoadingState ? (\n              <div className=\"flex h-52 items-center justify-center\">\n                <Spin size=\"large\" />\n              </div>\n            ) : docChunksData.total === 0 ? (\n              <div className=\"rounded-md border border-dashed border-gray-200 p-10 text-center text-sm text-gray-500\">\n                {t(\"document.chunk.noChunks\")}\n              </div>\n            ) : (\n              <div className=\"flex flex-col gap-3\">\n                {docChunksData.paginatedChunks.map((chunk, index) => (\n                  <Card\n                    key={chunk.id || index}\n                    size=\"small\"\n                    className=\"w-full\"\n                    title={\n                      <div className=\"flex items-center justify-between gap-2\">\n                        <div className=\"flex flex-wrap gap-1\">\n                          <Tag className=\"inline-flex items-center px-1.5 py-0.5 text-xs font-medium bg-gray-200 text-gray-800 border border-gray-200 rounded-md\">\n                            <FieldNumberOutlined className=\"text-[12px]\" />\n                            <span>\n                              {(pagination.page - 1) * pagination.pageSize +\n                                index +\n                                1}\n                            </span>\n                          </Tag>\n                          <Tag className=\"inline-flex items-center gap-1 px-1.5 py-0.5 text-xs font-medium bg-gray-200 text-gray-800 border border-gray-200 rounded-md\">\n                            <ScanText size={14} />\n                            <span>\n                              {t(\"document.chunk.characterCount\", {\n                                count: (chunk.content || \"\").length,\n                              })}\n                            </span>\n                          </Tag>\n                          {chunk.score !== undefined && (\n                            <Tag\n                              className=\"inline-flex items-center gap-1 px-1.5 py-0.5 text-xs font-medium border rounded-md\"\n                              style={{\n                                backgroundColor: getScoreColor(chunk.score),\n                                color: \"#000\",\n                                borderColor: getScoreColor(chunk.score),\n                              }}\n                            >\n                              <Goal size={14} />\n                              <span>\n                                {formatScoreAsPercentage(chunk.score)}\n                              </span>\n                            </Tag>\n                          )}\n                        </div>\n                        <div className=\"flex items-center gap-1\">\n                          {!isReadOnlyMode && (\n                            <Tooltip title={t(\"document.chunk.tooltip.edit\")}>\n                              <Button\n                                type=\"text\"\n                                icon={<SquarePen size={16} />}\n                                onClick={() => openEditChunkModal(chunk)}\n                                size=\"small\"\n                                className=\"self-center\"\n                              />\n                            </Tooltip>\n                          )}\n                          <Tooltip title={t(\"document.chunk.tooltip.download\")}>\n                            <Button\n                              type=\"text\"\n                              icon={<Download size={16} />}\n                              onClick={() => handleDownloadChunk(chunk)}\n                              size=\"small\"\n                              className=\"self-center\"\n                            />\n                          </Tooltip>\n                          {!isReadOnlyMode && (\n                            <Tooltip title={t(\"document.chunk.tooltip.delete\")}>\n                              <Button\n                                type=\"text\"\n                                danger\n                                icon={<Trash2 size={16} />}\n                                onClick={() => handleDeleteChunk(chunk)}\n                                size=\"small\"\n                                className=\"self-center\"\n                              />\n                            </Tooltip>\n                          )}\n                        </div>\n                      </div>\n                    }\n                  >\n                    {/* Display filename and source type if available */}\n                    {chunk.filename && (\n                      <div className=\"mb-2 pb-2 border-b border-gray-200\">\n                        <div className=\"flex flex-col\">\n                          <div className=\"flex items-center\">\n                            <div className=\"w-3 h-3 flex-shrink-0 mr-1\">\n                              <Database className=\"w-full h-full\" />\n                            </div>\n                            <div className=\"text-sm font-medium text-gray-700\">\n                              {chunk.filename}\n                            </div>\n                          </div>\n                          {chunk.source_type && (\n                            <div className=\"flex items-center mt-0.5\">\n                              <div className=\"w-3 h-3 flex-shrink-0 mr-1\">\n                                <Server className=\"w-full h-full\" />\n                              </div>\n                              <div className=\"text-xs text-gray-500\">\n                                {chunk.source_type === \"datamate\"\n                                  ? t(\"document.chunk.source.datamate\", \"来源: Datamate\")\n                                  : chunk.source_type === \"file\" ||\n                                    chunk.source_type === \"minio\" ||\n                                    chunk.source_type === \"local\"\n                                  ? t(\"document.chunk.source.nexent\", \"来源: Nexent\")\n                                  : \"\"}\n                              </div>\n                            </div>\n                          )}\n                        </div>\n                      </div>\n                    )}\n                    <div className=\"max-h-[150px] overflow-y-auto break-words whitespace-pre-wrap text-sm\">\n                      {chunk.content || \"\"}\n                    </div>\n                  </Card>\n                ))}\n              </div>\n            )}\n          </div>\n        </div>\n      ),\n    };\n  });\n\n  if (!isChunkSearchActive && loading && chunks.length === 0) {\n    return (\n      <div className=\"flex h-full w-full items-center justify-center\">\n        <Spin size=\"large\" />\n      </div>\n    );\n  }\n\n  const activeDocumentTotal = isChunkSearchActive\n    ? chunkSearchResultMap?.[activeDocumentKey]?.length ?? 0\n    : documentChunkCounts[activeDocumentKey] ?? total ?? 0;\n  const shouldShowPagination = !isChunkSearchActive && activeDocumentTotal > 0;\n\n  return (\n    <TooltipProvider key={tooltipResetKey}>\n      <div className=\"flex h-full w-full flex-col min-h-0 overflow-hidden\">\n        {/* Search and Add Button Bar */}\n        <div className=\"flex items-center justify-end gap-2 px-2 py-3 border-b border-gray-200 shrink-0\">\n          <div className=\"flex items-center gap-2\">\n            {/* Wrap search input with tooltip when model mismatch */}\n            {isEmbeddingModelMismatch ? (\n              <Tooltip title={disabledTooltipMessage}>\n                <span className=\"inline-block\">\n                  <Input\n                    placeholder={t(\"document.chunk.search.placeholder\")}\n                    value={searchValue}\n                    onChange={(e) => setSearchValue(e.target.value)}\n                    onPressEnter={() => {\n                      void handleSearch();\n                    }}\n                    style={{ width: 320 }}\n                    disabled={true}\n                  />\n                </span>\n              </Tooltip>\n            ) : (\n                <Input\n                  placeholder={t(\"document.chunk.search.placeholder\")}\n                  value={searchValue}\n                  onChange={(e) => setSearchValue(e.target.value)}\n                  onPressEnter={() => {\n                    void handleSearch();\n                  }}\n                  style={{ width: 320 }}\n                  disabled={isSearchDisabled}\n                  suffix={\n                    <div className=\"flex items-center gap-1\">\n                      {searchValue && (\n                        <Button\n                          type=\"text\"\n                          icon={<X size={16} />}\n                          onClick={handleClearSearch}\n                          size=\"small\"\n                          className=\"text-gray-500 hover:text-gray-700\"\n                        />\n                      )}\n                      <Button\n                        type=\"text\"\n                        icon={<Search size={16} />}\n                        onClick={() => {\n                          void handleSearch();\n                        }}\n                        size=\"small\"\n                        loading={chunkSearchLoading}\n                        disabled={isSearchDisabled}\n                      />\n                    </div>\n                  }\n                />\n            )}\n          </div>\n          {/* Create Chunk button - hide when user has READ_ONLY permission */}\n          {!isReadOnlyMode && (\n            <Tooltip title={t(\"document.chunk.tooltip.create\")}>\n              <Button\n                type=\"text\"\n                icon={<FilePlus2 size={16} />}\n                onClick={openCreateChunkModal}\n                disabled={isEmbeddingModelMismatch}\n              ></Button>\n            </Tooltip>\n          )}\n        </div>\n\n        <Tabs\n          tabPosition=\"left\"\n          activeKey={activeDocumentKey}\n          onChange={handleTabChange}\n          items={tabItems}\n          className={`h-full w-full min-h-0 ${TABS_ROOT_CLASS}`}\n          rootClassName=\"h-full\"\n        />\n        {shouldShowPagination && (\n          <div className=\"sticky bottom-0 left-0 z-10 flex w-full justify-center bg-white px-8 pb-4 pt-2 shadow-[0_-4px_12px_rgba(15,23,42,0.04)]\">\n            <Pagination\n              current={pagination.page}\n              pageSize={pagination.pageSize}\n              total={activeDocumentTotal}\n              onChange={handlePaginationChange}\n              disabled={loading}\n              showQuickJumper\n              locale={{\n                jump_to: t(\"document.chunk.pagination.jumpTo\"),\n                page: t(\"document.chunk.pagination.page\"),\n              }}\n              showTotal={(pageTotal, range) =>\n                t(\"document.chunk.pagination.range\", {\n                  defaultValue: \"{{start}}-{{end}} of {{total}}\",\n                  start: range[0],\n                  end: range[1],\n                  total: pageTotal,\n                })\n              }\n            />\n          </div>\n        )}\n      </div>\n      <Modal\n        centered\n        destroyOnHidden\n        open={isChunkModalOpen}\n        title={\n          chunkModalMode === \"create\"\n            ? t(\"document.chunk.form.createTitle\")\n            : t(\"document.chunk.form.editTitle\")\n        }\n        onCancel={closeChunkModal}\n        onOk={() => {\n          void handleChunkSubmit();\n        }}\n        okText={t(\"common.save\")}\n        cancelText={t(\"common.cancel\")}\n        confirmLoading={chunkSubmitting}\n      >\n        <Form form={chunkForm} layout=\"vertical\">\n          <Form.Item\n            label={\n              <span className=\"font-semibold ml-1\">\n                {t(\"document.chunk.form.documentName\")}\n              </span>\n            }\n          >\n            <div className=\"pl-4 text-gray-700\">\n              {getDisplayName(activeDocument?.name || \"\")}\n            </div>\n          </Form.Item>\n          {/* Hidden field to preserve filename value for form submission */}\n          <Form.Item name=\"filename\" hidden>\n          </Form.Item>\n          <Form.Item\n            label={\n              <span className=\"font-semibold ml-1\">\n                {t(\"document.chunk.form.content\")}\n              </span>\n            }\n            name=\"content\"\n          >\n            <TextArea\n              style={{ height: \"40vh\", resize: \"vertical\" }}\n              placeholder={t(\"document.chunk.form.contentPlaceholder\", {\n                defaultValue: \"Enter chunk content\",\n              })}\n            />\n          </Form.Item>\n        </Form>\n      </Modal>\n\n    </TooltipProvider>\n  );\n};\n\nexport default DocumentChunk;\n\n"
  },
  {
    "path": "frontend/app/[locale]/knowledges/components/document/DocumentList.tsx",
    "content": "import React, {\n  useState,\n  useRef,\n  forwardRef,\n  useImperativeHandle,\n  useEffect,\n} from \"react\";\nimport { useTranslation } from \"react-i18next\";\n\nimport { Input, Button, App, Select } from \"antd\";\nconst { TextArea } = Input;\nimport { InfoCircleFilled } from \"@ant-design/icons\";\nimport { BookText, Pilcrow, PencilRuler, Eye, Glasses, CircleOff } from \"lucide-react\";\nimport { MarkdownRenderer } from \"@/components/ui/markdownRenderer\";\n\nimport {\n  UI_CONFIG,\n  COLUMN_WIDTHS,\n  DOCUMENT_NAME_CONFIG,\n  LAYOUT,\n  DOCUMENT_STATUS,\n} from \"@/const/knowledgeBase\";\nimport knowledgeBaseService from \"@/services/knowledgeBaseService\";\nimport { modelService } from \"@/services/modelService\";\nimport { getTenantDefaultGroupId } from \"@/services/groupService\";\nimport { Document } from \"@/types/knowledgeBase\";\nimport { ModelOption } from \"@/types/modelConfig\";\nimport { formatFileSize } from \"@/lib/utils\";\nimport log from \"@/lib/logger\";\nimport { useConfig } from \"@/hooks/useConfig\";\nimport { useGroupList } from \"@/hooks/group/useGroupList\";\n\nimport DocumentStatus from \"./DocumentStatus\";\nimport DocumentChunk from \"./DocumentChunk\";\nimport UploadArea from \"../upload/UploadArea\";\nimport { useDocumentContext } from \"../../contexts/DocumentContext\";\nimport { useAuthorizationContext } from \"@/components/providers/AuthorizationProvider\";\nimport { Can } from \"@/components/permission/Can\";\n\nconst CONTAINER_HEIGHT_CLASS_MAP: Record<string, string> = {\n  \"83vh\": \"h-[83vh]\",\n  \"70vh\": \"h-[70vh]\",\n  \"57vh\": \"h-[57vh]\",\n  \"100%\": \"h-full\",\n};\n\nconst TITLE_BAR_HEIGHT_CLASS_MAP: Record<string, string> = {\n  \"56.8px\": \"h-[56.8px]\",\n};\n\ninterface DocumentListProps {\n  documents: Document[];\n  onDelete: (id: string) => void;\n  // Knowledge base source, e.g. \"nexent\" or \"datamate\"\n  knowledgeBaseSource?: string;\n  // User-facing knowledge base name (display name)\n  knowledgeBaseName?: string;\n  // Internal knowledge base ID / Elasticsearch index name\n  knowledgeBaseId?: string;\n  modelMismatch?: boolean;\n  currentModel?: string;\n  knowledgeBaseModel?: string;\n  embeddingModelInfo?: string;\n  containerHeight?: string;\n  isCreatingMode?: boolean;\n  onNameChange?: (name: string) => void;\n  hasDocuments?: boolean;\n  isNewlyCreatedAndWaiting?: boolean; // New prop to track newly created KB waiting for documents\n  onChunkCountChange?: () => void; // Callback when chunk count changes\n\n  // Group permission and user groups for create mode\n  ingroupPermission?: string;\n  onIngroupPermissionChange?: (value: string) => void;\n  selectedGroupIds?: number[];\n  onSelectedGroupIdsChange?: (values: number[]) => void;\n  permission?: string; // User's permission for this knowledge base (READ_ONLY, EDIT, etc.)\n\n  // Upload related props\n  isDragging?: boolean;\n  onDragOver?: (e: React.DragEvent) => void;\n  onDragLeave?: (e: React.DragEvent) => void;\n  onDrop?: (e: React.DragEvent) => void;\n  onFileSelect: (files: File[]) => void;\n  onUpload?: () => void;\n  isUploading?: boolean;\n}\n\nexport interface DocumentListRef {\n  uppy: any;\n}\n\nconst DocumentListContainer = forwardRef<DocumentListRef, DocumentListProps>(\n  (\n    {\n      documents,\n      onDelete,\n      knowledgeBaseSource = \"\",\n      knowledgeBaseId = \"\",\n      knowledgeBaseName = \"\",\n      modelMismatch = false,\n      currentModel = \"\",\n      knowledgeBaseModel = \"\",\n      embeddingModelInfo = \"\",\n      containerHeight = \"57vh\",\n      isCreatingMode = false,\n      onNameChange,\n      hasDocuments = false,\n      isNewlyCreatedAndWaiting = false, // New prop\n      onChunkCountChange,\n      // Group permission and user groups for create mode\n      ingroupPermission,\n      onIngroupPermissionChange,\n      selectedGroupIds,\n      onSelectedGroupIdsChange,\n      permission,\n\n      // Upload related props\n      isDragging = false,\n      onDragOver,\n      onDragLeave,\n      onDrop,\n      onFileSelect,\n      onUpload,\n      isUploading = false,\n    },\n    ref\n  ) => {\n    const { message } = App.useApp();\n    const uploadAreaRef = useRef<any>(null);\n    const { state: docState } = useDocumentContext();\n    const { modelConfig } = useConfig();\n    const { user } = useAuthorizationContext();\n    const tenantId = user?.tenantId || null;\n\n    // Fetch groups for group selection\n    const { data: groupData } = useGroupList(tenantId);\n    const groups = groupData?.groups || [];\n\n    // Create group name mapping\n    const groupOptions = groups.map((group) => ({\n      label: group.group_name,\n      value: group.group_id,\n    }));\n\n    // Use fixed height instead of percentage\n    const titleBarHeight = UI_CONFIG.TITLE_BAR_HEIGHT;\n    const uploadHeight = UI_CONFIG.UPLOAD_COMPONENT_HEIGHT;\n\n    // Sort documents by create_time (latest first)\n    const sortedDocuments = [...documents].sort((a, b) => {\n      const aTime = new Date(a.create_time).getTime();\n      const bTime = new Date(b.create_time).getTime();\n      const safeA = Number.isNaN(aTime) ? 0 : aTime;\n      const safeB = Number.isNaN(bTime) ? 0 : bTime;\n      return safeB - safeA;\n    });\n\n    // Get file icon\n    const getFileIcon = (type: string): string => {\n      switch (type.toLowerCase()) {\n        case \"pdf\":\n          return \"📄\";\n        case \"word\":\n          return \"📝\";\n        case \"excel\":\n          return \"📊\";\n        case \"powerpoint\":\n          return \"📑\";\n        default:\n          return \"📃\";\n      }\n    };\n\n    // Get permission icon for dropdown options\n    const getPermissionIcon = (permission: string) => {\n      const iconProps = {\n        size: 16,\n        className: \"text-gray-500\",\n      };\n\n      switch (permission) {\n        case \"EDIT\":\n          return <PencilRuler {...iconProps} />;\n        case \"READ_ONLY\":\n          return <Eye {...iconProps} />;\n        case \"PRIVATE\":\n          return <Glasses {...iconProps} />;\n        default:\n          return <CircleOff {...iconProps} />;\n      }\n    };\n\n    // Build model mismatch info\n    const getMismatchInfo = (): string => {\n      if (embeddingModelInfo) return embeddingModelInfo;\n      if (currentModel && knowledgeBaseModel) {\n        return t(\"document.modelMismatch.withModels\", {\n          currentModel,\n          knowledgeBaseModel,\n        });\n      }\n      return t(\"document.modelMismatch.general\");\n    };\n\n    // Expose uppy instance to parent component\n    useImperativeHandle(ref, () => ({\n      uppy: uploadAreaRef.current?.uppy,\n    }));\n    const [showDetail, setShowDetail] = React.useState(false);\n    const [showChunk, setShowChunk] = React.useState(false);\n    const [summary, setSummary] = useState(\"\");\n    const [isSummarizing, setIsSummarizing] = useState(false);\n    const [isEditing, setIsEditing] = useState(false);\n    const [isSaving, setIsSaving] = useState(false);\n    const [selectedModel, setSelectedModel] = useState<number>(0);\n    const [availableModels, setAvailableModels] = useState<ModelOption[]>([]);\n    const [isLoadingModels, setIsLoadingModels] = useState(false);\n    const { t } = useTranslation();\n    const isDataMate = (knowledgeBaseSource || \"\").toLowerCase() === \"datamate\";\n\n    // Determine if user has read-only permission\n    const isReadOnlyMode = permission === \"READ_ONLY\";\n\n    // Permission options with icons shown inside dropdown\n    const permissionOptions = [\n      {\n        value: \"EDIT\",\n        label: (\n          <span className=\"flex items-center gap-2\">\n            {getPermissionIcon(\"EDIT\")}\n            <span>{t(\"tenantResources.knowledgeBase.permission.EDIT\")}</span>\n          </span>\n        ),\n      },\n      {\n        value: \"READ_ONLY\",\n        label: (\n          <span className=\"flex items-center gap-2\">\n            {getPermissionIcon(\"READ_ONLY\")}\n            <span>{t(\"tenantResources.knowledgeBase.permission.READ_ONLY\")}</span>\n          </span>\n        ),\n      },\n      {\n        value: \"PRIVATE\",\n        label: (\n          <span className=\"flex items-center gap-2\">\n            {getPermissionIcon(\"PRIVATE\")}\n            <span>{t(\"tenantResources.knowledgeBase.permission.PRIVATE\")}</span>\n          </span>\n        ),\n      },\n    ];\n\n    // Reset showDetail and showChunk state when knowledge base name changes\n    React.useEffect(() => {\n      setShowDetail(false);\n      setShowChunk(false);\n      setSummary(\"\");\n    }, [knowledgeBaseName]);\n\n    // Initialize default group ID when entering create mode\n    React.useEffect(() => {\n      if (isCreatingMode && tenantId && onSelectedGroupIdsChange) {\n        const initDefaultGroup = async () => {\n          try {\n            const defaultGroupId = await getTenantDefaultGroupId(tenantId);\n            if (defaultGroupId) {\n              onSelectedGroupIdsChange([defaultGroupId]);\n            }\n          } catch (error) {\n            log.error(\"Failed to get tenant default group:\", error);\n          }\n        };\n        initDefaultGroup();\n      }\n    }, [isCreatingMode, tenantId]);\n\n    // Clear group IDs when permission is set to PRIVATE\n    React.useEffect(() => {\n      if (ingroupPermission === \"PRIVATE\" && onSelectedGroupIdsChange) {\n        onSelectedGroupIdsChange([]);\n      }\n    }, [ingroupPermission, onSelectedGroupIdsChange]);\n\n    // Check if group select should be disabled (when permission is PRIVATE)\n    const isGroupSelectDisabled = ingroupPermission === \"PRIVATE\";\n\n    // Load available models when showing detail\n    useEffect(() => {\n      const loadModels = async () => {\n        if (showDetail && availableModels.length === 0) {\n          setIsLoadingModels(true);\n          try {\n            const models = await modelService.getLLMModels();\n            setAvailableModels(models.filter(m => m.connect_status === \"available\"));\n\n            // Determine initial selection order:\n            // 1) Knowledge base's own configured model (server-side config)\n            // 2) Globally configured default LLM from quick setup (create mode or no KB model)\n            // 3) First available model\n\n            let initialModelId: number | null = null;\n\n            // 1) Knowledge base model (if provided)\n            if (knowledgeBaseModel) {\n              const matchedByName = models.find(\n                (m) => m.name === knowledgeBaseModel\n              );\n              const matchedByDisplay = matchedByName\n                ? null\n                : models.find((m) => m.displayName === knowledgeBaseModel);\n              if (matchedByName) {\n                initialModelId = matchedByName.id;\n              } else if (matchedByDisplay) {\n                initialModelId = matchedByDisplay.id;\n              }\n            }\n\n            // 2) Fallback to globally configured default LLM\n            if (initialModelId === null) {\n              const configuredDisplayName = modelConfig?.llm?.displayName || \"\";\n              const configuredModelName = modelConfig?.llm?.modelName || \"\";\n\n              const matchedByDisplay = models.find(\n                (m) =>\n                  m.displayName === configuredDisplayName &&\n                  configuredDisplayName !== \"\"\n              );\n              const matchedByName = matchedByDisplay\n                ? null\n                : models.find(\n                    (m) =>\n                      m.name === configuredModelName &&\n                      configuredModelName !== \"\"\n                  );\n\n              if (matchedByDisplay) {\n                initialModelId = matchedByDisplay.id;\n              } else if (matchedByName) {\n                initialModelId = matchedByName.id;\n              }\n            }\n\n            // 3) Final fallback to first available model\n            if (initialModelId === null) {\n              if (models.length > 0) {\n                initialModelId = models[0].id;\n              }\n            }\n\n            if (initialModelId !== null) {\n              setSelectedModel(initialModelId);\n            } else {\n              message.warning(\n                t(\"businessLogic.config.error.noAvailableModels\")\n              );\n            }\n          } catch (error) {\n            log.error(\"Failed to load models:\", error);\n            message.error(t(\"modelConfig.error.loadListFailed\"));\n          } finally {\n            setIsLoadingModels(false);\n          }\n        }\n      };\n      loadModels();\n    }, [showDetail]);\n\n    // Get summary when showing detailed content\n    React.useEffect(() => {\n      const fetchSummary = async () => {\n        if (showDetail && knowledgeBaseId) {\n          try {\n            const result =\n              await knowledgeBaseService.getSummary(knowledgeBaseId);\n            setSummary(result);\n          } catch (error) {\n            log.error(t(\"knowledgeBase.error.getSummary\"), error);\n            message.error(t(\"document.summary.error\"));\n          }\n        }\n      };\n      fetchSummary();\n    }, [showDetail, knowledgeBaseName]);\n\n    // Handle auto summary\n    const handleAutoSummary = async () => {\n      if (!knowledgeBaseId) {\n        message.warning(t(\"document.summary.selectKnowledgeBase\"));\n        return;\n      }\n\n      setIsSummarizing(true);\n      setSummary(\"\");\n\n      try {\n        const result = await knowledgeBaseService.summaryIndex(\n          knowledgeBaseId,\n          1000,\n          (newText) => {\n            setSummary((prev) => prev + newText);\n          },\n          selectedModel\n        );\n        // Only show success message if summary was actually generated\n        if (result && result.trim()) {\n          message.success(t(\"document.summary.completed\"));\n        } else {\n          // If no summary was generated, show error message\n          message.error(t(\"knowledgeBase.summary.notGenerated\"));\n        }\n      } catch (error) {\n        message.error(t(\"document.summary.error\"));\n        log.error(t(\"document.summary.error\"), error);\n      } finally {\n        setIsSummarizing(false);\n      }\n    };\n\n    // Handle save summary\n    const handleSaveSummary = async () => {\n      if (!knowledgeBaseId) {\n        message.warning(t(\"document.summary.selectKnowledgeBase\"));\n        return;\n      }\n\n      if (!summary.trim()) {\n        message.warning(t(\"document.summary.emptyContent\"));\n        return;\n      }\n\n      setIsSaving(true);\n      try {\n        await knowledgeBaseService.changeSummary(knowledgeBaseId, summary);\n        message.success(t(\"document.summary.saveSuccess\"));\n      } catch (error: any) {\n        log.error(t(\"document.summary.saveError\"), error);\n        const errorMessage =\n          error?.message || error?.detail || t(\"document.summary.saveFailed\");\n        message.error(errorMessage);\n      } finally {\n        setIsSaving(false);\n        setShowDetail(false);\n      }\n    };\n\n    const containerHeightClass =\n      CONTAINER_HEIGHT_CLASS_MAP[containerHeight] ?? \"h-full\";\n    const titleBarHeightClass =\n      TITLE_BAR_HEIGHT_CLASS_MAP[titleBarHeight] ?? \"h-14\";\n\n    return (\n      <div\n        className={`flex flex-col w-full h-full bg-white border border-gray-200 rounded-md shadow-sm `}\n      >\n        {/* Title bar */}\n        <div\n          className={`${LAYOUT.KB_HEADER_PADDING} border-b border-gray-200 flex-shrink-0 flex items-center ${titleBarHeightClass}`}\n        >\n          <div className=\"flex items-center justify-between w-full\" style={{ width: \"100%\" }}>\n            <div className=\"flex items-center\" style={{width: \"100%\"}}>\n              {isCreatingMode ? (\n                <div className=\"flex items-center flex-1\" style={{ width: \"100%\" }}>\n                  <Input\n                    value={knowledgeBaseName}\n                    onChange={(e) =>\n                      onNameChange && onNameChange(e.target.value)\n                    }\n                    placeholder={t(\"document.input.knowledgeBaseName\")}\n                    className={`${LAYOUT.KB_TITLE_MARGIN} w-[240px] font-medium my-[2px]`}\n                    size=\"large\"\n                    prefix={<span className=\"text-blue-600\">📚</span>}\n                    autoFocus\n                    disabled={\n                      hasDocuments || isUploading || docState.isLoadingDocuments\n                    }\n                  />\n                  {/* Right-aligned container for dropdowns */}\n                  <div className=\"flex items-center ml-auto justify-end\" style={{ gap: \"12px\", justifyContent: \"flex-end\", alignItems: \"flex-end\", width: \"100%\" }}>\n                    {/* User groups multi-select - first position */}\n                    <Can permission=\"kb.groups:update\">\n                      <Select\n                        mode=\"multiple\"\n                        value={isGroupSelectDisabled ? [] : selectedGroupIds}\n                        onChange={onSelectedGroupIdsChange}\n                        style={{ minWidth: 200, justifyContent: \"center\", alignItems: \"flex-end\" }}\n                        placeholder={t(\"knowledgeBase.create.permission.groupPlaceholder\")}\n                        options={groupOptions}\n                        maxTagCount={2}\n                        allowClear\n                        disabled={isGroupSelectDisabled}\n                      />\n                    </Can>\n                    {/* Group permission dropdown - second position */}\n                    <Can permission=\"kb.groups:update\">\n                      <Select\n                        value={ingroupPermission}\n                        onChange={onIngroupPermissionChange}\n                        style={{ width: 160, justifyContent: \"center\", alignItems: \"flex-end\" }}\n                        placeholder={t(\"knowledgeBase.ingroup.permission.DEFAULT\")}\n                        options={permissionOptions}\n                      />\n                    </Can>\n                  </div>\n                </div>\n              ) : (\n                <h3\n                  className={`${LAYOUT.KB_TITLE_MARGIN} ${LAYOUT.KB_TITLE_SIZE} font-semibold text-blue-500 flex items-center`}\n                >\n                  {knowledgeBaseName}\n                </h3>\n              )}\n              {modelMismatch && !isCreatingMode && (\n                <div className=\"ml-3 mt-0.5 px-1.5 py-1 inline-flex items-center rounded-md text-xs font-medium bg-yellow-100 text-yellow-800 border border-yellow-200\">\n                  {getMismatchInfo()}\n                </div>\n              )}\n            </div>\n            {/* Right: overview and detail buttons */}\n            {!isCreatingMode && !isDataMate && (\n              <div className=\"flex gap-2\">\n                <Button\n                  type=\"primary\"\n                  icon={<BookText size={16} />}\n                  onClick={() => {\n                    if (showDetail) {\n                      // Close detail view and reset summary\n                      setShowDetail(false);\n                      setSummary(\"\");\n                    } else {\n                      setShowDetail(true);\n                      setShowChunk(false);\n                    }\n                  }}\n                >\n                  {t(\"document.button.overview\")}\n                </Button>\n                <Button\n                  type=\"primary\"\n                  icon={<Pilcrow size={16} />}\n                  onClick={() => {\n                    if (showChunk) {\n                      setShowChunk(false);\n                    } else {\n                      setShowChunk(true);\n                      setShowDetail(false);\n                    }\n                  }}\n                >\n                  {t(\"document.button.detail\")}\n                </Button>\n              </div>\n            )}\n          </div>\n        </div>\n\n        {/* Document list */}\n\n        <div\n          className=\"p-2 overflow-auto flex-grow\"\n          onDragOver={(e) => {\n            if (!isCreatingMode && knowledgeBaseName) {\n              return;\n            }\n            e.preventDefault();\n            e.stopPropagation();\n          }}\n          onDrop={(e) => {\n            e.preventDefault();\n            e.stopPropagation();\n          }}\n          onDragEnter={(e) => {\n            e.preventDefault();\n            e.stopPropagation();\n          }}\n          onDragLeave={(e) => {\n            e.preventDefault();\n            e.stopPropagation();\n          }}\n        >\n          {showChunk ? (\n            <div className=\"flex h-full flex-col px-8\">\n              <DocumentChunk\n                knowledgeBaseName={knowledgeBaseName}\n                knowledgeBaseId={knowledgeBaseId}\n                documents={documents}\n                getFileIcon={getFileIcon}\n                currentEmbeddingModel={currentModel}\n                knowledgeBaseEmbeddingModel={knowledgeBaseModel}\n                onChunkCountChange={onChunkCountChange}\n                permission={permission}\n              />\n            </div>\n          ) : showDetail ? (\n            <div className=\"px-8 py-4 h-full flex flex-col\">\n              <div className=\"flex items-center justify-between mb-5\">\n                <span className=\"font-bold text-lg\">\n                  {t(\"document.summary.title\")}\n                </span>\n                <div className=\"flex items-center gap-3\">\n                  <div className=\"flex items-center gap-2\">\n                    <span className=\"text-sm text-gray-600\">\n                      {t(\"document.summary.modelLabel\")}:\n                    </span>\n                    <Select\n                      value={selectedModel}\n                      onChange={setSelectedModel}\n                      loading={isLoadingModels}\n                      disabled={isSummarizing}\n                      style={{ width: 200 }}\n                      placeholder={t(\"document.summary.modelPlaceholder\")}\n                      options={availableModels.map((model) => ({\n                        value: model.id,\n                        label: model.displayName,\n                        disabled: model.connect_status === \"unavailable\",\n                      }))}\n                    />\n                  </div>\n                  <Button\n                    type=\"default\"\n                    onClick={handleAutoSummary}\n                    loading={isSummarizing}\n                    disabled={\n                      !knowledgeBaseName || isSummarizing || !selectedModel || isReadOnlyMode\n                    }\n                  >\n                    {t(\"document.button.autoSummary\")}\n                  </Button>\n                </div>\n              </div>\n              <div className=\"flex-1 min-h-0 mb-5 border border-gray-300 rounded-md overflow-auto\">\n                  {isReadOnlyMode ? (\n                    <div className=\"p-5 text-lg leading-[1.7] whitespace-pre-wrap\">\n                      <MarkdownRenderer content={summary} />\n                    </div>\n                  ) : isSummarizing ? (\n                    <div className=\"p-5 text-lg leading-[1.7] whitespace-pre-wrap\">\n                      <MarkdownRenderer content={summary} />\n                    </div>\n                  ) : (\n                    <div\n                          className=\"w-full h-full cursor-text hover:bg-gray-50\"\n                      onClick={() => {\n                        if (!isSummarizing) {\n                          setIsEditing(true);\n                        }\n                      }}\n                    >\n                      {isEditing ? (\n                        <TextArea\n                          value={summary}\n                          onChange={(e) => setSummary(e.target.value)}\n                          onBlur={() => setIsEditing(false)}\n                              className=\"w-full h-full border-0 resize-none focus:shadow-none\"\n                          style={{\n                            height: '100%',\n                            padding: '20px',\n                            fontSize: '18px',\n                            lineHeight: '1.7',\n                            whiteSpace: 'pre-wrap',\n                          }}\n                          autoFocus\n                          placeholder={t(\"document.summary.placeholder\")}\n                        />\n                      ) : (\n                              <div className=\"p-5 text-lg leading-[1.7] whitespace-pre-wrap\">\n                                <MarkdownRenderer content={summary} />\n                              </div>\n                      )}\n                    </div>\n                  )}\n              </div>\n              <div className=\"flex gap-3 justify-end\">\n                  {!isReadOnlyMode && (\n                    <Button\n                      type=\"primary\"\n                      size=\"large\"\n                      onClick={handleSaveSummary}\n                      loading={isSaving}\n                      disabled={!summary || isSaving}\n                    >\n                      {t(\"common.save\")}\n                    </Button>\n                  )}\n                <Button\n                  size=\"large\"\n                  onClick={() => {\n                    setShowDetail(false);\n                    setSummary(\"\");\n                  }}\n                >\n                  {t(\"common.back\")}\n                </Button>\n              </div>\n            </div>\n          ) : docState.isLoadingDocuments || isNewlyCreatedAndWaiting ? (\n            <div className=\"flex items-center justify-center h-full border border-gray-200 rounded-md\">\n              <div className=\"text-center\">\n                <div className=\"animate-spin rounded-full h-8 w-8 border-b-2 border-blue-500 mx-auto mb-2\"></div>\n                <p className=\"text-sm text-gray-600\">\n                  {isNewlyCreatedAndWaiting\n                    ? t(\"document.status.waitingForTask\")\n                    : t(\"document.status.loadingList\")}\n                </p>\n              </div>\n            </div>\n          ) : isCreatingMode ? (\n            hasDocuments || isUploading || docState.isLoadingDocuments ? (\n              <div className=\"flex items-center justify-center border border-gray-200 rounded-md h-full\">\n                <div className=\"text-center\">\n                  <div className=\"animate-spin rounded-full h-8 w-8 border-b-2 border-blue-500 mx-auto mb-2\"></div>\n                  <p className=\"text-sm text-gray-600\">\n                    {t(\"document.status.waitingForTask\")}\n                  </p>\n                </div>\n              </div>\n            ) : (\n              <div className=\"flex items-center justify-center border border-gray-200 rounded-md h-full\">\n                <div className=\"text-center p-6\">\n                  <div className=\"mb-4 text-blue-600 text-[36px]\">\n                    <InfoCircleFilled />\n                  </div>\n                  <h3 className=\"text-lg font-medium text-gray-800 mb-2\">\n                    {t(\"document.title.createNew\")}\n                  </h3>\n                  <p className=\"text-gray-500 text-sm max-w-md\">\n                    {t(\"document.hint.uploadToCreate\")}\n                  </p>\n                </div>\n              </div>\n            )\n          ) : sortedDocuments.length > 0 ? (\n            <div className=\"overflow-y-auto border border-gray-200 rounded-md h-full\">\n              <table className=\"min-w-full bg-white\">\n                <thead\n                  className={`${LAYOUT.TABLE_HEADER_BG} sticky top-0 z-10`}\n                >\n                  <tr>\n                    <th\n                      className={`${LAYOUT.CELL_PADDING} text-left ${LAYOUT.HEADER_TEXT} w-[${COLUMN_WIDTHS.NAME}]`}\n                    >\n                      {t(\"document.table.header.name\")}\n                    </th>\n                    <th\n                      className={`${LAYOUT.CELL_PADDING} text-left ${LAYOUT.HEADER_TEXT} w-[${COLUMN_WIDTHS.STATUS}]`}\n                    >\n                      {t(\"document.table.header.status\")}\n                    </th>\n                    {!isDataMate && (\n                      <th\n                        className={`${LAYOUT.CELL_PADDING} text-left ${LAYOUT.HEADER_TEXT} w-[${COLUMN_WIDTHS.SIZE}]`}\n                      >\n                        {t(\"document.table.header.size\")}\n                      </th>\n                    )}\n                    <th\n                      className={`${LAYOUT.CELL_PADDING} text-left ${LAYOUT.HEADER_TEXT} w-[${COLUMN_WIDTHS.DATE}]`}\n                    >\n                      {t(\"document.table.header.date\")}\n                    </th>\n                    {!isDataMate && (\n                      <th\n                        className={`${LAYOUT.CELL_PADDING} text-left ${LAYOUT.HEADER_TEXT} w-[${COLUMN_WIDTHS.ACTION}]`}\n                      >\n                        {t(\"document.table.header.action\")}\n                      </th>\n                    )}\n                  </tr>\n                </thead>\n                <tbody className={LAYOUT.TABLE_ROW_DIVIDER}>\n                  {sortedDocuments.map((doc) => (\n                    <tr key={doc.id} className={LAYOUT.TABLE_ROW_HOVER}>\n                      <td className={LAYOUT.CELL_PADDING}>\n                        <div className=\"flex items-center\">\n                          <span\n                            className={`${LAYOUT.ICON_MARGIN} ${LAYOUT.ICON_SIZE}`}\n                          >\n                            {getFileIcon(doc.type)}\n                          </span>\n                          <span\n                            className={`${LAYOUT.TEXT_SIZE} font-medium text-gray-800 truncate max-w-[${DOCUMENT_NAME_CONFIG.MAX_WIDTH}] whitespace-${DOCUMENT_NAME_CONFIG.WHITE_SPACE} overflow-${DOCUMENT_NAME_CONFIG.OVERFLOW} text-${DOCUMENT_NAME_CONFIG.TEXT_OVERFLOW}`}\n                            title={doc.name}\n                          >\n                            {doc.name}\n                          </span>\n                        </div>\n                      </td>\n                      <td className={LAYOUT.CELL_PADDING}>\n                        <div className=\"flex items-center\">\n                          <DocumentStatus\n                            status={doc.status}\n                            showIcon={true}\n                            kbId={knowledgeBaseId}\n                            docId={doc.id}\n                            processedChunkNum={doc.processed_chunk_num}\n                            totalChunkNum={doc.total_chunk_num}\n                          />\n                        </div>\n                      </td>\n                      {!isDataMate && (\n                        <td\n                          className={`${LAYOUT.CELL_PADDING} ${LAYOUT.TEXT_SIZE} text-gray-600`}\n                        >\n                          {formatFileSize(doc.size)}\n                        </td>\n                      )}\n                      <td\n                        className={`${LAYOUT.CELL_PADDING} ${LAYOUT.TEXT_SIZE} text-gray-600`}\n                      >\n                        {new Date(doc.create_time).toLocaleString()}\n                      </td>\n                      {!isDataMate && (\n                        <td className={LAYOUT.CELL_PADDING}>\n                          <button\n                            onClick={() => onDelete(doc.id)}\n                            className={LAYOUT.ACTION_TEXT}\n                            title={\n                              doc.status === DOCUMENT_STATUS.PROCESSING ||\n                              doc.status === DOCUMENT_STATUS.FORWARDING\n                                ? t(\"document.delete.terminateTask\")\n                                : undefined\n                            }\n                          >\n                            {t(\"common.delete\")}\n                          </button>\n                        </td>\n                      )}\n                    </tr>\n                  ))}\n                </tbody>\n              </table>\n            </div>\n          ) : (\n            <div className=\"text-center py-2 text-gray-500 text-xs border border-gray-200 rounded-md h-full\">\n              {t(\"document.hint.noDocuments\")}\n            </div>\n          )}\n        </div>\n\n        {/* Upload area */}\n        {!showDetail &&\n          !showChunk &&\n          (isDataMate ? (\n            <div className=\"p-3 bg-gray-50 border-t border-gray-200 h-[30%] flex items-center justify-center min-h-[120px]\">\n              <span className=\"text-base font-medium text-center leading-[1.7] text-gray-500\">\n                {t(\"knowledgeBase.datamate.editDisabled\")}\n              </span>\n            </div>\n          ) : (\n            <UploadArea\n              key={\n                isCreatingMode\n                  ? `create-${knowledgeBaseName}`\n                  : `view-${knowledgeBaseName}`\n              }\n              ref={uploadAreaRef}\n              onFileSelect={onFileSelect}\n              onUpload={onUpload || (() => {})}\n              isUploading={isUploading}\n              isDragging={isDragging}\n              onDragOver={onDragOver}\n              onDragLeave={onDragLeave}\n              onDrop={onDrop}\n              disabled={!isCreatingMode && !knowledgeBaseId}\n              componentHeight={uploadHeight}\n              isCreatingMode={isCreatingMode}\n              // Use internal ID for backend operations; fall back to name in creation mode\n              indexName={knowledgeBaseId || knowledgeBaseName}\n              newKnowledgeBaseName={isCreatingMode ? knowledgeBaseName : \"\"}\n              modelMismatch={modelMismatch}\n            />\n          ))}\n      </div>\n    );\n  }\n);\n\nexport default DocumentListContainer;\n"
  },
  {
    "path": "frontend/app/[locale]/knowledges/components/document/DocumentStatus.tsx",
    "content": "import React, { useEffect, useState } from \"react\";\nimport { useTranslation } from \"react-i18next\";\nimport { Popover, Progress } from \"antd\";\nimport { CircleHelp } from \"lucide-react\";\nimport { DOCUMENT_STATUS } from \"@/const/knowledgeBase\";\nimport knowledgeBaseService from \"@/services/knowledgeBaseService\";\nimport log from \"@/lib/logger\";\n\ninterface DocumentStatusProps {\n  status: string;\n  showIcon?: boolean;\n  errorReason?: string;\n  suggestion?: string;\n  kbId?: string;\n  docId?: string;\n  // Optional ingestion progress metrics\n  processedChunkNum?: number | null;\n  totalChunkNum?: number | null;\n}\n\nexport const DocumentStatus: React.FC<DocumentStatusProps> = ({\n  status,\n  showIcon = false,\n  errorReason,\n  suggestion,\n  kbId,\n  docId,\n  processedChunkNum,\n  totalChunkNum,\n}) => {\n  const { t } = useTranslation();\n  const [errorCodeState, setErrorCodeState] = useState<string | null>(null);\n  const [isPopoverOpen, setIsPopoverOpen] = useState(false);\n  const [isFetching, setIsFetching] = useState(false);\n  const [hasFetched, setHasFetched] = useState(false);\n\n  useEffect(() => {\n    // If parent props change (e.g. list refreshed), reset state\n    setErrorCodeState(null);\n    setHasFetched(false);\n  }, [kbId, docId]);\n\n  // Map API status to display status\n  const getDisplayStatus = (apiStatus: string): string => {\n    switch (apiStatus) {\n      case DOCUMENT_STATUS.WAIT_FOR_PROCESSING:\n        return t(\"document.status.waitForProcessing\");\n      case DOCUMENT_STATUS.WAIT_FOR_FORWARDING:\n        return t(\"document.status.waitForForwarding\");\n      case DOCUMENT_STATUS.PROCESSING:\n        return t(\"document.status.processing\");\n      case DOCUMENT_STATUS.FORWARDING:\n        return t(\"document.status.forwarding\");\n      case DOCUMENT_STATUS.COMPLETED:\n        return t(\"document.status.completed\");\n      case DOCUMENT_STATUS.PROCESS_FAILED:\n        return t(\"document.status.processFailed\");\n      case DOCUMENT_STATUS.FORWARD_FAILED:\n        return t(\"document.status.forwardFailed\");\n      default:\n        return apiStatus;\n    }\n  };\n\n  // Get status type and corresponding styles\n  const getStatusStyles = (): {\n    bgColor: string;\n    textColor: string;\n    borderColor: string;\n  } => {\n    switch (status) {\n      case DOCUMENT_STATUS.COMPLETED:\n        return {\n          bgColor: \"bg-green-100\",\n          textColor: \"text-green-800\",\n          borderColor: \"border-green-200\",\n        };\n      case DOCUMENT_STATUS.PROCESSING:\n      case DOCUMENT_STATUS.FORWARDING:\n        return {\n          bgColor: \"bg-blue-100\",\n          textColor: \"text-blue-800\",\n          borderColor: \"border-blue-200\",\n        };\n      case DOCUMENT_STATUS.PROCESS_FAILED:\n      case DOCUMENT_STATUS.FORWARD_FAILED:\n        return {\n          bgColor: \"bg-red-100\",\n          textColor: \"text-red-800\",\n          borderColor: \"border-red-200\",\n        };\n      case DOCUMENT_STATUS.WAIT_FOR_PROCESSING:\n      case DOCUMENT_STATUS.WAIT_FOR_FORWARDING:\n        return {\n          bgColor: \"bg-yellow-100\",\n          textColor: \"text-yellow-800\",\n          borderColor: \"border-yellow-200\",\n        };\n      default:\n        return {\n          bgColor: \"bg-gray-100\",\n          textColor: \"text-gray-800\",\n          borderColor: \"border-gray-200\",\n        };\n    }\n  };\n\n  // Get status icon\n  const getStatusIcon = () => {\n    if (!showIcon) return null;\n\n    switch (status) {\n      case DOCUMENT_STATUS.COMPLETED:\n        return \"✓\";\n      case DOCUMENT_STATUS.PROCESSING:\n      case DOCUMENT_STATUS.FORWARDING:\n        return \"⟳\";\n      case DOCUMENT_STATUS.PROCESS_FAILED:\n      case DOCUMENT_STATUS.FORWARD_FAILED:\n        return \"✗\";\n      case DOCUMENT_STATUS.WAIT_FOR_PROCESSING:\n      case DOCUMENT_STATUS.WAIT_FOR_FORWARDING:\n        return \"⏱\";\n      default:\n        return null;\n    }\n  };\n\n  const { bgColor, textColor, borderColor } = getStatusStyles();\n  const displayStatus = getDisplayStatus(status);\n\n  const isFailedStatus =\n    status === DOCUMENT_STATUS.PROCESS_FAILED ||\n    status === DOCUMENT_STATUS.FORWARD_FAILED;\n\n  const hasValidProgress =\n    typeof processedChunkNum === \"number\" &&\n    typeof totalChunkNum === \"number\" &&\n    totalChunkNum > 0;\n\n  // Show progress for processing or forwarding status (入库中 corresponds to FORWARDING)\n  const shouldShowProgress =\n    (status === DOCUMENT_STATUS.PROCESSING ||\n      status === DOCUMENT_STATUS.FORWARDING) &&\n    hasValidProgress;\n\n  const progressPercent = hasValidProgress\n    ? Math.min(\n        100,\n        Math.max(0, Math.round((processedChunkNum / totalChunkNum) * 100))\n      )\n    : 0;\n\n  // Get localized error message from error code\n  const getLocalizedError = (errorCode: string | null) => {\n    if (!errorCode) return { message: null, suggestion: null };\n\n    const messageKey = `document.error.code.${errorCode}.message`;\n    const suggestionKey = `document.error.code.${errorCode}.suggestion`;\n\n    const message = t(messageKey, { defaultValue: null });\n    const suggestion = t(suggestionKey, { defaultValue: null });\n\n    return {\n      message: message !== messageKey ? message : null,\n      suggestion: suggestion !== suggestionKey ? suggestion : null,\n    };\n  };\n\n  const fetchErrorInfo = async () => {\n    if (!kbId || !docId) return;\n    setIsFetching(true);\n    try {\n      const result = await knowledgeBaseService.getDocumentErrorInfo(\n        kbId,\n        docId\n      );\n\n      // Set error code - frontend will handle localization\n      setErrorCodeState(result.errorCode ?? null);\n    } catch (error) {\n      log.error(\"Failed to fetch document error info:\", error);\n    } finally {\n      setIsFetching(false);\n      setHasFetched(true);\n    }\n  };\n\n  const handlePopoverVisibleChange = (visible: boolean) => {\n    setIsPopoverOpen(visible);\n    if (\n      visible &&\n      kbId &&\n      docId &&\n      !isFetching &&\n      !hasFetched &&\n      !errorCodeState\n    ) {\n      fetchErrorInfo();\n    }\n  };\n\n  // Get localized error messages from error code\n  const localizedError = getLocalizedError(errorCodeState);\n\n  const popoverContent = (\n    <div className=\"max-w-md\">\n      {isFetching ? (\n        <div className=\"text-sm text-gray-500\">{t(\"common.loading\")}</div>\n      ) : localizedError.message ? (\n        <div>\n          <div className=\"mb-2\">\n            <div className=\"text-sm text-gray-700\">\n              {localizedError.message}\n            </div>\n          </div>\n          {localizedError.suggestion && (\n            <div className=\"mt-1\">\n              <div className=\"text-sm font-medium mb-1\">\n                {t(\"document.error.suggestion\")}\n              </div>\n              <div className=\"text-sm text-gray-700\">\n                {localizedError.suggestion}\n              </div>\n            </div>\n          )}\n        </div>\n      ) : (\n        <div className=\"text-sm text-gray-500\">\n          {t(\"document.error.noReason\")}\n        </div>\n      )}\n    </div>\n  );\n\n  return (\n    <span\n      className={`inline-flex items-center px-1.5 py-0.5 rounded-md text-xs font-medium ${bgColor} ${textColor} border ${borderColor} whitespace-nowrap`}\n    >\n      {showIcon && <span className=\"mr-1\">{getStatusIcon()}</span>}\n      {displayStatus}\n      {shouldShowProgress && hasValidProgress && (\n        <Popover\n          content={\n            <div className=\"text-xs text-gray-700\">\n              {t(\"document.progress.chunksProcessed\", {\n                processed: processedChunkNum,\n                total: totalChunkNum,\n                percent: progressPercent,\n              })}\n            </div>\n          }\n          placement=\"top\"\n        >\n          <span className=\"ml-2 inline-flex items-center\">\n            <Progress\n              type=\"circle\"\n              percent={progressPercent}\n              size={14}\n              strokeWidth={10}\n              showInfo={false}\n            />\n          </span>\n        </Popover>\n      )}\n      {isFailedStatus && (\n        <Popover\n          content={popoverContent}\n          title={t(\"document.error.reason\")}\n          trigger={[\"hover\", \"click\"]}\n          placement=\"top\"\n          open={isPopoverOpen}\n          onOpenChange={handlePopoverVisibleChange}\n        >\n          <CircleHelp\n            className=\"ml-1.5 cursor-help text-gray-500 hover:text-gray-700\"\n            size={12}\n          />\n        </Popover>\n      )}\n    </span>\n  );\n};\n\nexport default DocumentStatus;\n"
  },
  {
    "path": "frontend/app/[locale]/knowledges/components/knowledge/KnowledgeBaseEditModal.tsx",
    "content": "\"use client\";\n\nimport React, { useState, useRef, useEffect } from \"react\";\nimport { useTranslation } from \"react-i18next\";\nimport { Modal, Form, Input, Select, message } from \"antd\";\nimport { useGroupList } from \"@/hooks/group/useGroupList\";\nimport { Can } from \"@/components/permission/Can\";\nimport knowledgeBaseService from \"@/services/knowledgeBaseService\";\nimport knowledgeBasePollingService from \"@/services/knowledgeBasePollingService\";\nimport { checkKnowledgeBaseName } from \"@/services/uploadService\";\nimport { NAME_CHECK_STATUS } from \"@/const/agentConfig\";\nimport { KnowledgeBase } from \"@/types/knowledgeBase\";\n\ninterface KnowledgeBaseEditModalProps {\n  open: boolean;\n  knowledgeBase: KnowledgeBase | null;\n  tenantId: string | null;\n  onCancel: () => void;\n  onSuccess: (updatedKnowledgeBase: KnowledgeBase) => void;\n}\n\nexport function KnowledgeBaseEditModal({\n  open,\n  knowledgeBase,\n  tenantId,\n  onCancel,\n  onSuccess,\n}: KnowledgeBaseEditModalProps) {\n  const { t } = useTranslation(\"common\");\n  const [form] = Form.useForm();\n\n  // Name validation state\n  const [nameError, setNameError] = useState<string | null>(null);\n\n  // Store original name for comparison\n  const originalNameRef = useRef<string>(\"\");\n\n  // Track current permission value for conditional logic\n  const [currentPermission, setCurrentPermission] = useState<string>(\"READ_ONLY\");\n\n  // Fetch groups for group selection\n  const { data: groupData } = useGroupList(tenantId);\n  const groups = groupData?.groups || [];\n\n  // Reset form and states when knowledge base changes\n  React.useEffect(() => {\n    if (knowledgeBase && open) {\n      const permission = knowledgeBase.ingroup_permission || \"READ_ONLY\";\n      form.setFieldsValue({\n        knowledge_name: knowledgeBase.name,\n        ingroup_permission: permission,\n        group_ids: permission === \"PRIVATE\" ? [] : (knowledgeBase.group_ids || []),\n      });\n      // Store original name for comparison\n      originalNameRef.current = knowledgeBase.name;\n      // Reset error state\n      setNameError(null);\n      // Set current permission\n      setCurrentPermission(permission);\n    }\n  }, [knowledgeBase, open, form]);\n\n  // Check if name is valid (only when submitting)\n  const checkNameValidation = async (name: string): Promise<boolean> => {\n    // Allow if name is same as original\n    if (name === originalNameRef.current) {\n      setNameError(null);\n      return true;\n    }\n\n    try {\n      const result = await checkKnowledgeBaseName(name, t);\n      if (result.status === NAME_CHECK_STATUS.AVAILABLE) {\n        setNameError(null);\n        return true;\n      } else {\n        setNameError(t(\"tenantResources.knowledgeBase.nameExists\"));\n        return false;\n      }\n    } catch (error) {\n      setNameError(t(\"tenantResources.knowledgeBase.nameCheckFailed\"));\n      return false;\n    }\n  };\n\n  // Handle form submission\n  const handleSubmit = async () => {\n    try {\n      const values = await form.validateFields();\n\n      if (!knowledgeBase) return;\n\n      // Check name duplication on submit\n      const isNameValid = await checkNameValidation(values.knowledge_name);\n      if (!isNameValid) {\n        return; // Error message is displayed via Form.Item help\n      }\n\n      // Ensure group_ids is empty when permission is PRIVATE\n      const groupIds = values.ingroup_permission === \"PRIVATE\" ? [] : values.group_ids;\n\n      await knowledgeBaseService.updateKnowledgeBase(knowledgeBase.id, {\n        knowledge_name: values.knowledge_name,\n        ingroup_permission: values.ingroup_permission,\n        group_ids: groupIds,\n      });\n\n      message.success(t(\"tenantResources.knowledgeBase.updated\"));\n\n      // Construct updated knowledge base object with new values\n      const updatedKnowledgeBase: KnowledgeBase = {\n        ...knowledgeBase,\n        name: values.knowledge_name,\n        ingroup_permission: values.ingroup_permission,\n        group_ids: groupIds,\n      };\n\n      // Trigger knowledge base list refresh to seamlessly update UI\n      knowledgeBasePollingService.triggerKnowledgeBaseListUpdate(true);\n\n      onSuccess(updatedKnowledgeBase);\n      onCancel();\n    } catch (error: any) {\n      if (error.errorFields) {\n        return; // Form validation error\n      }\n      message.error(error.message || t(\"tenantResources.knowledgeBase.updateFailed\"));\n    }\n  };\n\n  // Handle permission change - clear group_ids when PRIVATE is selected\n  const handlePermissionChange = (value: string) => {\n    setCurrentPermission(value);\n    if (value === \"PRIVATE\") {\n      form.setFieldsValue({ group_ids: [] });\n    }\n  };\n\n  // Check if group select should be disabled\n  const isGroupSelectDisabled = currentPermission === \"PRIVATE\";\n\n  return (\n    <Modal\n      title={t(\"tenantResources.knowledgeBase.edit\")}\n      open={open}\n      onOk={handleSubmit}\n      onCancel={onCancel}\n      okText={t(\"common.confirm\")}\n      cancelText={t(\"common.cancel\")}\n      width={500}\n    >\n      <Form form={form} layout=\"vertical\">\n        <Form.Item\n          name=\"knowledge_name\"\n          label={t(\"common.name\")}\n          validateStatus={nameError ? \"error\" : undefined}\n          help={nameError || undefined}\n          rules={[\n            { required: true, message: t(\"tenantResources.knowledgeBase.nameRequired\") },\n          ]}\n        >\n          <Input placeholder={t(\"tenantResources.knowledgeBase.enterName\")} />\n        </Form.Item>\n\n        <Can permission=\"kb.groups:read\">\n          <Form.Item\n            name=\"ingroup_permission\"\n            label={t(\"tenantResources.knowledgeBase.permission\")}\n            rules={[\n              { required: true, message: t(\"tenantResources.knowledgeBase.permissionRequired\") },\n            ]}\n          >\n            <Select\n              placeholder={t(\"tenantResources.knowledgeBase.permission\")}\n              onChange={handlePermissionChange}\n              options={[\n                { value: \"EDIT\", label: t(\"tenantResources.knowledgeBase.permission.EDIT\") },\n                { value: \"READ_ONLY\", label: t(\"tenantResources.knowledgeBase.permission.READ_ONLY\") },\n                { value: \"PRIVATE\", label: t(\"tenantResources.knowledgeBase.permission.PRIVATE\") },\n              ]}\n            />\n          </Form.Item>\n        </Can>\n\n        <Can permission=\"group:read\">\n          <Form.Item name=\"group_ids\" label={t(\"tenantResources.knowledgeBase.groupNames\")}>\n            <Select\n              mode=\"multiple\"\n              placeholder={isGroupSelectDisabled ? t(\"knowledgeBase.create.permission.groupPlaceholder\") : t(\"tenantResources.knowledgeBase.groupNames\")}\n              value={isGroupSelectDisabled ? [] : form.getFieldValue(\"group_ids\")}\n              options={groups.map((group) => ({\n                label: group.group_name,\n                value: group.group_id,\n              }))}\n              disabled={isGroupSelectDisabled}\n            />\n          </Form.Item>\n        </Can>\n      </Form>\n    </Modal>\n  );\n}\n"
  },
  {
    "path": "frontend/app/[locale]/knowledges/components/knowledge/KnowledgeBaseList.tsx",
    "content": "import React, { useState, useMemo } from \"react\";\nimport { useTranslation } from \"react-i18next\";\n\nimport log from \"@/lib/logger\";\n\nimport { Button, Input, Select } from \"antd\";\nimport {\n  SyncOutlined,\n  PlusOutlined,\n  SettingOutlined,\n  SearchOutlined,\n  FilterOutlined,\n} from \"@ant-design/icons\";\nimport {\n  PencilRuler,\n  Eye,\n  Glasses,\n  Trash2,\n  SquarePen,\n  CircleOff,\n} from \"lucide-react\";\nimport { Tooltip } from \"@/components/ui/tooltip\";\nimport { Can } from \"@/components/permission/Can\";\nimport { useAuthorizationContext } from \"@/components/providers/AuthorizationProvider\";\nimport { useGroupList } from \"@/hooks/group/useGroupList\";\nimport { KnowledgeBaseEditModal } from \"./KnowledgeBaseEditModal\";\n\nimport { KnowledgeBase } from \"@/types/knowledgeBase\";\nimport { KB_LAYOUT, KB_TAG_VARIANTS } from \"@/const/knowledgeBaseLayout\";\n\ninterface KnowledgeBaseListProps {\n  knowledgeBases: KnowledgeBase[];\n  activeKnowledgeBase: KnowledgeBase | null;\n  currentEmbeddingModel: string | null;\n  isLoading?: boolean;\n  syncLoading?: boolean;\n  onClick: (kb: KnowledgeBase) => void;\n  onDelete: (id: string) => void;\n  onSync: () => void;\n  onCreateNew: () => void;\n  onDataMateConfig?: () => void;\n  showDataMateConfig?: boolean; // Control whether to show DataMate config button\n  getModelDisplayName: (modelId: string) => string;\n  containerHeight?: string; // Container total height, consistent with DocumentList\n  onKnowledgeBaseChange?: () => void; // Callback when knowledge base switches\n  onKnowledgeBaseUpdate?: (updatedKnowledgeBase: KnowledgeBase) => void; // Callback when knowledge base is updated\n  // Optional controlled search / filter props (if parent wants to control filters)\n  searchQuery?: string;\n  onSearchChange?: (value: string) => void;\n  sourceFilter?: string | string[];\n  onSourceFilterChange?: (values: string[] | string) => void;\n  modelFilter?: string | string[];\n  onModelFilterChange?: (values: string[] | string) => void;\n}\n\nconst KnowledgeBaseList: React.FC<KnowledgeBaseListProps> = ({\n  knowledgeBases,\n  activeKnowledgeBase,\n  currentEmbeddingModel,\n  isLoading = false,\n  syncLoading = false,\n  onClick,\n  onDelete,\n  onSync,\n  onCreateNew,\n  onDataMateConfig,\n  showDataMateConfig = false,\n  getModelDisplayName,\n  containerHeight = \"70vh\", // Default container height consistent with DocumentList\n  onKnowledgeBaseChange, // New: callback function when knowledge base switches\n  onKnowledgeBaseUpdate, // Callback when knowledge base is updated\n  searchQuery,\n  onSearchChange,\n  sourceFilter,\n  onSourceFilterChange,\n  modelFilter,\n  onModelFilterChange,\n}) => {\n  const { t } = useTranslation();\n\n  // Get user info for tenant ID\n  const { user } = useAuthorizationContext();\n  const tenantId = user?.tenantId || null;\n\n  // Fetch groups for group name mapping\n  const { data: groupData } = useGroupList(tenantId);\n  const groups = groupData?.groups || [];\n\n  // Create group name mapping from group_id to group_name\n  const groupNameMap = useMemo(() => {\n    const map = new Map<number, string>();\n    groups.forEach((group) => {\n      map.set(group.group_id, group.group_name);\n    });\n    return map;\n  }, [groups]);\n\n  // Get group names for knowledge base\n  const getGroupNames = (groupIds?: number[]) => {\n    if (!groupIds || groupIds.length === 0) return [];\n    return groupIds\n      .map((id) => groupNameMap.get(id))\n      .filter((name): name is string => !!name);\n  };\n\n  // Get permission icon based on ingroup_permission type\n  const getPermissionIcon = (permission: string) => {\n    const iconProps = {\n      size: 14,\n      className: \"text-gray-500\",\n    };\n\n    switch (permission) {\n      case \"EDIT\":\n        return <PencilRuler {...iconProps} />;\n      case \"READ_ONLY\":\n        return <Eye {...iconProps} />;\n      case \"PRIVATE\":\n        return <Glasses {...iconProps} />;\n      default:\n        return <CircleOff {...iconProps} />;\n    }\n  };\n\n  // Get permission tooltip key\n  const getPermissionTooltipKey = (permission: string) => {\n    return `knowledgeBase.ingroup.permission.${permission || \"DEFAULT\"}`;\n  };\n\n  // Search and filter states\n  const [searchKeyword, setSearchKeyword] = useState(\"\");\n  const [selectedSources, setSelectedSources] = useState<string[]>([]);\n  const [selectedModels, setSelectedModels] = useState<string[]>([]);\n\n  // Edit modal states\n  const [editModalVisible, setEditModalVisible] = useState(false);\n  const [editingKnowledge, setEditingKnowledge] =\n    useState<KnowledgeBase | null>(null);\n\n  // Open edit modal\n  const openEditModal = (kb: KnowledgeBase) => {\n    setEditingKnowledge(kb);\n    setEditModalVisible(true);\n  };\n\n  // Close edit modal\n  const closeEditModal = () => {\n    setEditModalVisible(false);\n    setEditingKnowledge(null);\n  };\n\n  // Effective (controlled or uncontrolled) values\n  const effectiveSearchKeyword =\n    typeof searchQuery !== \"undefined\" ? searchQuery : searchKeyword;\n  const effectiveSelectedSources =\n    typeof sourceFilter !== \"undefined\"\n      ? Array.isArray(sourceFilter)\n        ? sourceFilter\n        : sourceFilter\n          ? [sourceFilter]\n          : []\n      : selectedSources;\n  const effectiveSelectedModels =\n    typeof modelFilter !== \"undefined\"\n      ? Array.isArray(modelFilter)\n        ? modelFilter\n        : modelFilter\n          ? [modelFilter]\n          : []\n      : selectedModels;\n\n  // Handlers that respect controlled props\n  const handleSearchChange = (value: string) => {\n    if (onSearchChange) onSearchChange(value);\n    else setSearchKeyword(value);\n  };\n\n  const handleSourcesChange = (values: string[]) => {\n    if (onSourceFilterChange) onSourceFilterChange(values);\n    else setSelectedSources(values);\n  };\n\n  const handleModelsChange = (values: string[]) => {\n    if (onModelFilterChange) onModelFilterChange(values);\n    else setSelectedModels(values);\n  };\n\n  // Format date function, only keep date part\n  const formatDate = (dateValue: any) => {\n    try {\n      const date =\n        typeof dateValue === \"number\"\n          ? new Date(dateValue)\n          : new Date(dateValue);\n      return isNaN(date.getTime())\n        ? String(dateValue ?? \"\")\n        : date.toISOString().split(\"T\")[0]; // Only return YYYY-MM-DD part\n    } catch (e) {\n      return String(dateValue ?? \"\"); // If parsing fails, return original string\n    }\n  };\n\n  // Helper to safely extract timestamp for sorting\n  const getTimestamp = (value: any): number => {\n    if (!value) return 0;\n    if (typeof value === \"number\") return value;\n    const t = Date.parse(value);\n    return Number.isNaN(t) ? 0 : t;\n  };\n\n  // Sort knowledge bases by update time (fallback to creation time), latest first\n  const sortedKnowledgeBases = [...knowledgeBases].sort((a, b) => {\n    const aTime = getTimestamp(a.updatedAt ?? a.createdAt);\n    const bTime = getTimestamp(b.updatedAt ?? b.createdAt);\n    return bTime - aTime;\n  });\n\n  // Calculate available filter options\n  const availableSources = useMemo(() => {\n    const sources = new Set(knowledgeBases.map((kb) => kb.source));\n    return Array.from(sources)\n      .filter((source) => source)\n      .sort();\n  }, [knowledgeBases]);\n\n  const availableModels = useMemo(() => {\n    const models = new Set(knowledgeBases.map((kb) => kb.embeddingModel));\n    return Array.from(models)\n      .filter((model) => model && model !== \"unknown\")\n      .sort();\n  }, [knowledgeBases]);\n\n  // Filter knowledge bases based on search and filters\n  const filteredKnowledgeBases = useMemo(() => {\n    log.log(\"Filtering knowledge bases:\", {\n      totalCount: knowledgeBases.length,\n      searchKeyword: effectiveSearchKeyword,\n      sourceFilter: effectiveSelectedSources,\n      modelFilter: effectiveSelectedModels,\n    });\n\n    const result = sortedKnowledgeBases.filter((kb) => {\n      // Keyword search: match name, description, or nickname\n      const keyword = effectiveSearchKeyword || \"\";\n      const kbName = kb.name || \"\";\n      const kbDescription = kb.description || \"\";\n      const kbNickname = kb.nickname || \"\";\n\n      const matchesSearch =\n        !keyword ||\n        kbName.toLowerCase().includes(keyword.toLowerCase()) ||\n        kbDescription.toLowerCase().includes(keyword.toLowerCase()) ||\n        kbNickname.toLowerCase().includes(keyword.toLowerCase());\n\n      // Source filter\n      const matchesSource =\n        effectiveSelectedSources.length === 0 ||\n        effectiveSelectedSources.includes(kb.source);\n\n      // Model filter\n      const matchesModel =\n        effectiveSelectedModels.length === 0 ||\n        effectiveSelectedModels.includes(kb.embeddingModel);\n\n      const matches = matchesSearch && matchesSource && matchesModel;\n\n      if (!matches) {\n        log.log(\"KB filtered out:\", {\n          name: kb.name,\n          source: kb.source,\n          embeddingModel: kb.embeddingModel,\n          matchesSearch,\n          matchesSource,\n          matchesModel,\n        });\n      }\n\n      return matches;\n    });\n\n    log.log(\"Filtered result:\", result.length, \"items\");\n    return result;\n  }, [\n    sortedKnowledgeBases,\n    effectiveSearchKeyword,\n    effectiveSelectedSources,\n    effectiveSelectedModels,\n  ]);\n\n  return (\n    <div className=\"w-full h-full bg-white border border-gray-200 rounded-md flex flex-col\">\n      {/* Fixed header area */}\n      <div\n        className={`${KB_LAYOUT.HEADER_PADDING} border-b border-gray-200 shrink-0`}\n      >\n        <div className=\"flex items-center justify-between gap-2\">\n          <div className=\"shrink-0\">\n            <h3\n              className={`${KB_LAYOUT.TITLE_MARGIN} ${KB_LAYOUT.TITLE_TEXT} text-gray-800`}\n            >\n              {t(\"knowledgeBase.list.title\")}\n            </h3>\n          </div>\n          <div className=\"flex items-center min-w-0\" style={{ gap: \"6px\" }}>\n            <Button\n              style={{\n                padding: \"4px 15px\",\n                display: \"inline-flex\",\n                alignItems: \"center\",\n                justifyContent: \"center\",\n                gap: \"8px\",\n                backgroundColor: \"#1677ff\",\n                color: \"white\",\n                border: \"none\",\n                flexShrink: 0,\n              }}\n              className=\"hover:!bg-blue-600\"\n              type=\"primary\"\n              onClick={onCreateNew}\n              icon={<PlusOutlined />}\n            >\n              {t(\"knowledgeBase.button.create\")}\n            </Button>\n            <Button\n              style={{\n                padding: \"4px 15px\",\n                display: \"inline-flex\",\n                alignItems: \"center\",\n                justifyContent: \"center\",\n                gap: \"8px\",\n                backgroundColor: \"#1677ff\",\n                color: \"white\",\n                border: \"none\",\n                flexShrink: 0,\n              }}\n              className=\"hover:!bg-blue-600\"\n              type=\"primary\"\n              onClick={onSync}\n            >\n              <span\n                style={{\n                  display: \"inline-flex\",\n                  alignItems: \"center\",\n                  justifyContent: \"center\",\n                  width: \"14px\",\n                  height: \"14px\",\n                }}\n              >\n                <SyncOutlined spin={syncLoading} style={{ color: \"white\" }} />\n              </span>\n              <span>{t(\"knowledgeBase.button.sync\")}</span>\n            </Button>\n            {showDataMateConfig && (\n              <Button\n                style={{\n                  padding: \"4px 15px\",\n                  display: \"inline-flex\",\n                  alignItems: \"center\",\n                  gap: \"8px\",\n                  backgroundColor: \"#1677ff\",\n                  color: \"white\",\n                  border: \"none\",\n                  overflow: \"hidden\",\n                  whiteSpace: \"nowrap\",\n                  minWidth: 0,\n                }}\n                className=\"hover:!bg-blue-600\"\n                type=\"primary\"\n                onClick={onDataMateConfig}\n                icon={<SettingOutlined />}\n              >\n                <span className=\"overflow-hidden text-ellipsis\">\n                  {t(\"knowledgeBase.button.dataMateConfig\")}\n                </span>\n              </Button>\n            )}\n          </div>\n        </div>\n\n        {/* Search and filter area */}\n        <div className=\"mt-3 flex items-center gap-3\">\n          <Input\n            placeholder={t(\"knowledgeBase.search.placeholder\")}\n            prefix={<SearchOutlined />}\n            value={effectiveSearchKeyword}\n            onChange={(e) => handleSearchChange(e.target.value)}\n            style={{ width: 250 }}\n            allowClear\n          />\n\n          {availableSources.length > 0 && (\n            <Select\n              mode=\"multiple\"\n              placeholder={t(\"knowledgeBase.filter.source.placeholder\")}\n              value={effectiveSelectedSources}\n              onChange={handleSourcesChange}\n              style={{ minWidth: 150 }}\n              allowClear\n              maxTagCount={2}\n            >\n              {availableSources.map((source) => (\n                <Select.Option key={source} value={source}>\n                  {t(\"knowledgeBase.source.\" + source, {\n                    defaultValue: source,\n                  })}\n                </Select.Option>\n              ))}\n            </Select>\n          )}\n\n          {availableModels.length > 0 && (\n            <Select\n              mode=\"multiple\"\n              placeholder={t(\"knowledgeBase.filter.model.placeholder\")}\n              value={effectiveSelectedModels}\n              onChange={handleModelsChange}\n              style={{ minWidth: 180 }}\n              allowClear\n              maxTagCount={2}\n            >\n              {availableModels.map((model) => (\n                <Select.Option key={model} value={model}>\n                  {getModelDisplayName(model)}\n                </Select.Option>\n              ))}\n            </Select>\n          )}\n        </div>\n      </div>\n\n      <div className=\"flex-1 overflow-y-auto overflow-x-hidden\">\n        {filteredKnowledgeBases.length > 0 ? (\n          <div className=\"divide-y-0\">\n            {filteredKnowledgeBases.map((kb, index) => {\n              const isActive = activeKnowledgeBase?.id === kb.id;\n\n              return (\n                <div\n                  key={kb.id}\n                  className={`${\n                    KB_LAYOUT.ROW_PADDING\n                  } px-2 hover:bg-gray-50 cursor-pointer transition-colors ${\n                    index > 0 ? \"border-t border-gray-200\" : \"\"\n                  }`}\n                  style={{\n                    borderLeftWidth: \"4px\",\n                    borderLeftStyle: \"solid\",\n                    borderLeftColor: isActive ? \"#3b82f6\" : \"transparent\",\n                    backgroundColor: isActive\n                      ? \"rgb(226, 240, 253)\"\n                      : \"inherit\",\n                  }}\n                  onClick={() => {\n                    onClick(kb);\n                    if (onKnowledgeBaseChange) onKnowledgeBaseChange();\n                  }}\n                >\n                  <div className=\"flex items-start\">\n                    <div className=\"flex-1 min-w-0\">\n                      <div className=\"flex items-center justify-between\">\n                        <div className=\"flex items-center flex-1 min-w-0\">\n                          <p\n                            className=\"text-base font-medium text-gray-800 truncate\"\n                            style={{\n                              maxWidth: KB_LAYOUT.KB_NAME_MAX_WIDTH,\n                              ...KB_LAYOUT.KB_NAME_OVERFLOW,\n                            }}\n                            title={kb.name}\n                          >\n                            {kb.name}\n                          </p>\n                          {/* Permission icon with tooltip */}\n                          <Can permission=\"kb.groups:read\">\n                            <Tooltip\n                              title={t(getPermissionTooltipKey(kb.ingroup_permission || \"\"))}\n                              placement=\"top\"\n                            >\n                              <div className=\"ml-3 flex-shrink-0 cursor-pointer\">\n                                <div className=\"flex items-center justify-center w-5 h-5 rounded-full bg-gray-200 hover:bg-gray-300 transition-all duration-200 hover:shadow-sm\">\n                                  {getPermissionIcon(kb.ingroup_permission || \"\")}\n                                </div>\n                              </div>\n                            </Tooltip>\n                          </Can>\n                        </div>\n                          <div className=\"flex items-center ml-2\">\n                          <Can permission=\"kb:update\">\n                            {/* Edit button - only show for Nexent (local) sources and when user has edit permission */}\n                            {(!kb.source || kb.source === \"nexent\" || kb.source === \"elasticsearch\") &&\n                              kb.permission !== \"READ_ONLY\" && (\n                              <Tooltip title={t(\"common.edit\")}>\n                                <Button\n                                  type=\"text\"\n                                  icon={<SquarePen className=\"h-4 w-4\" />}\n                                  onClick={(e) => {\n                                    e.stopPropagation();\n                                    openEditModal(kb);\n                                  }}\n                                  size=\"small\"\n                                />\n                              </Tooltip>\n                            )}\n                            </Can>\n                          <Can permission=\"kb:delete\">\n                            {/* Delete button - hide when user has READ_ONLY permission */}\n                            {kb.permission !== \"READ_ONLY\" && (\n                              <Tooltip title={t(\"common.delete\")}>\n                                <Button\n                                  type=\"text\"\n                                  danger\n                                  icon={<Trash2 className=\"h-4 w-4\" />}\n                                  onClick={(e) => {\n                                    e.stopPropagation();\n                                    onDelete(kb.id);\n                                  }}\n                                  size=\"small\"\n                                />\n                              </Tooltip>\n                            )}\n                            </Can>\n                          </div>\n\n                      </div>\n                      <div\n                        className={`flex flex-wrap items-center ${KB_LAYOUT.TAG_MARGIN} ${KB_LAYOUT.TAG_SPACING}`}\n                      >\n                        {/* Document count tag */}\n                        <span\n                          className={`inline-flex items-center ${KB_LAYOUT.TAG_PADDING} ${KB_LAYOUT.TAG_ROUNDED} ${KB_LAYOUT.TAG_TEXT} ${KB_TAG_VARIANTS.light} mr-1`}\n                        >\n                          {t(\"knowledgeBase.tag.documents\", {\n                            count: kb.documentCount || 0,\n                          })}\n                        </span>\n\n                        {/* Chunk count tag */}\n                        <span\n                          className={`inline-flex items-center ${KB_LAYOUT.TAG_PADDING} ${KB_LAYOUT.TAG_ROUNDED} ${KB_LAYOUT.TAG_TEXT} ${KB_TAG_VARIANTS.light} mr-1`}\n                        >\n                          {t(\"knowledgeBase.tag.chunks\", {\n                            count: kb.chunkCount || 0,\n                          })}\n                        </span>\n\n                        {/* Always show source tag regardless of document/chunk count */}\n                        <span\n                          className={`inline-flex items-center ${KB_LAYOUT.TAG_PADDING} ${KB_LAYOUT.TAG_ROUNDED} ${KB_LAYOUT.TAG_TEXT} ${KB_TAG_VARIANTS.light} mr-1`}\n                        >\n                          {t(\"knowledgeBase.tag.source\", {\n                            source: kb.source,\n                          })}\n                        </span>\n\n                        {/* Only show creation date, model tags when there are valid documents or chunks */}\n                        {((kb.documentCount || 0) > 0 ||\n                          (kb.chunkCount || 0) > 0) && (\n                          <>\n                            {/* Creation date tag - only show date */}\n                            <span\n                              className={`inline-flex items-center ${KB_LAYOUT.TAG_PADDING} ${KB_LAYOUT.TAG_ROUNDED} ${KB_LAYOUT.TAG_TEXT} ${KB_TAG_VARIANTS.light} mr-1`}\n                            >\n                              {t(\"knowledgeBase.tag.createdAt\", {\n                                date: formatDate(kb.createdAt),\n                              })}\n                            </span>\n\n                            {/* Force line break */}\n                            <div\n                              className={`w-full ${KB_LAYOUT.TAG_BREAK_HEIGHT}`}\n                            ></div>\n\n                            {/* Model tag - only show when model is not \"unknown\" */}\n                            {kb.embeddingModel !== \"unknown\" && (\n                              <span\n                                className={`inline-flex items-center ${KB_LAYOUT.TAG_PADDING} ${KB_LAYOUT.TAG_ROUNDED} ${KB_LAYOUT.TAG_TEXT} ${KB_LAYOUT.SECOND_ROW_TAG_MARGIN} ${KB_TAG_VARIANTS.model} mr-1`}\n                              >\n                                {t(\"knowledgeBase.tag.model\", {\n                                  model: getModelDisplayName(kb.embeddingModel),\n                                })}\n                              </span>\n                            )}\n                            {kb.embeddingModel !== \"unknown\" &&\n                              kb.embeddingModel !== currentEmbeddingModel &&\n                              kb.source !== \"datamate\" && (\n                                <span\n                                  className={`inline-flex items-center ${KB_LAYOUT.TAG_PADDING} ${KB_LAYOUT.TAG_ROUNDED} ${KB_LAYOUT.TAG_TEXT} ${KB_LAYOUT.SECOND_ROW_TAG_MARGIN} ${KB_TAG_VARIANTS.warning} mr-1`}\n                                >\n                                  {t(\"knowledgeBase.tag.modelMismatch\")}\n                                </span>\n                              )}\n\n                            {/* User group tags - only show when not PRIVATE */}\n                            <Can permission=\"group:read\">\n                              {kb.ingroup_permission !== \"PRIVATE\" &&\n                                getGroupNames(kb.group_ids).map((groupName, idx) => (\n                                  <span\n                                    key={idx}\n                                    className={`inline-flex items-center ${KB_LAYOUT.TAG_PADDING} ${KB_LAYOUT.TAG_ROUNDED} ${KB_LAYOUT.TAG_TEXT} ${KB_LAYOUT.SECOND_ROW_TAG_MARGIN} bg-blue-100 text-blue-800 border border-blue-200 mr-1`}\n                                  >\n                                    {groupName}\n                                  </span>\n                                ))}\n                            </Can>\n                          </>\n                        )}\n                      </div>\n                    </div>\n                  </div>\n                </div>\n              );\n            })}\n          </div>\n        ) : (\n          <div\n            className={`${KB_LAYOUT.EMPTY_STATE_PADDING} text-center text-gray-500`}\n          >\n            {searchKeyword ||\n            selectedSources.length > 0 ||\n            selectedModels.length > 0\n              ? t(\"knowledgeBase.list.noResults\")\n              : t(\"knowledgeBase.list.empty\")}\n          </div>\n        )}\n      </div>\n\n      {/* Edit Knowledge Base Modal */}\n      <KnowledgeBaseEditModal\n        open={editModalVisible}\n        knowledgeBase={editingKnowledge}\n        tenantId={tenantId}\n        onCancel={closeEditModal}\n        onSuccess={(updatedKnowledgeBase) => {\n          if (onKnowledgeBaseUpdate) {\n            onKnowledgeBaseUpdate(updatedKnowledgeBase);\n          }\n        }}\n      />\n    </div>\n  );\n};\n\nexport default KnowledgeBaseList;\n"
  },
  {
    "path": "frontend/app/[locale]/knowledges/components/upload/UploadArea.tsx",
    "content": "import React, { useState, forwardRef, useImperativeHandle, useEffect, useCallback, useRef } from 'react';\nimport { useTranslation } from 'react-i18next';\n\nimport type { UploadFile, UploadProps, RcFile } from 'antd/es/upload/interface';\nimport { App } from 'antd';\n\nimport { NAME_CHECK_STATUS } from '@/const/agentConfig';\nimport log from \"@/lib/logger\";\nimport { \n  checkKnowledgeBaseName,\n  fetchKnowledgeBaseInfo,\n  validateFileType,\n} from '@/services/uploadService';\n\nimport UploadAreaUI from './UploadAreaUI';\n\ninterface UploadAreaProps {\n  isDragging?: boolean;\n  onDragOver?: (e: React.DragEvent) => void;\n  onDragLeave?: (e: React.DragEvent) => void;\n  onDrop?: (e: React.DragEvent) => void;\n  onFileSelect: (files: File[]) => void;\n  selectedFiles?: File[];\n  onUpload?: () => void;\n  isUploading?: boolean;\n  disabled?: boolean;\n  componentHeight?: string;\n  isCreatingMode?: boolean;\n  indexName?: string;\n  newKnowledgeBaseName?: string;\n  modelMismatch?: boolean;\n}\n\nexport interface UploadAreaRef {\n  fileList: UploadFile[];\n}\n\nconst UploadArea = forwardRef<UploadAreaRef, UploadAreaProps>(\n  (\n    {\n      onFileSelect,\n      onUpload,\n      isUploading = false,\n      disabled = false,\n      componentHeight = \"100%\",\n      isCreatingMode = false,\n      indexName = \"\",\n      newKnowledgeBaseName = \"\",\n      selectedFiles = [],\n      modelMismatch = false,\n    },\n    ref\n  ) => {\n    const { t } = useTranslation(\"common\");\n    const { message } = App.useApp();\n    const [fileList, setFileList] = useState<UploadFile[]>([]);\n    const [nameStatus, setNameStatus] = useState<string>(\"available\");\n    const [isLoading, setIsLoading] = useState(false);\n    const [isKnowledgeBaseReady, setIsKnowledgeBaseReady] = useState(false);\n    const currentKnowledgeBaseRef = useRef<string>(\"\");\n    const pendingRequestRef = useRef<AbortController | null>(null);\n    const prevFileListRef = useRef<UploadFile[]>([]);\n\n    useEffect(() => {\n      prevFileListRef.current = fileList;\n    }, [fileList]);\n\n    // Function to reset all states\n    const resetAllStates = useCallback(() => {\n      setFileList([]);\n      setNameStatus(\"available\");\n      setIsLoading(true);\n      setIsKnowledgeBaseReady(false);\n    }, []);\n\n    // Listen for knowledge base changes, reset file list and get knowledge base info\n    useEffect(() => {\n      // If knowledge base name hasn't changed, don't reset\n      if (indexName === currentKnowledgeBaseRef.current) {\n        return;\n      }\n\n      // Cancel previous request\n      if (pendingRequestRef.current) {\n        pendingRequestRef.current.abort();\n        pendingRequestRef.current = null;\n      }\n\n      // Immediately reset state and clear file list\n      resetAllStates();\n\n      // Update current knowledge base reference\n      currentKnowledgeBaseRef.current = indexName;\n\n      if (!indexName || isCreatingMode) {\n        setIsKnowledgeBaseReady(true);\n        setIsLoading(false);\n        return;\n      }\n\n      // Create new AbortController\n      const abortController = new AbortController();\n      pendingRequestRef.current = abortController;\n\n      // Use service function to get knowledge base info\n      fetchKnowledgeBaseInfo(\n        indexName,\n        abortController,\n        currentKnowledgeBaseRef,\n        () => {\n          setIsKnowledgeBaseReady(true);\n          setIsLoading(false);\n        },\n        () => {\n          setIsKnowledgeBaseReady(false);\n          setIsLoading(false);\n        },\n        t,\n        message\n      );\n\n      // Cleanup function\n      return () => {\n        if (pendingRequestRef.current) {\n          pendingRequestRef.current.abort();\n          pendingRequestRef.current = null;\n        }\n      };\n    }, [indexName, isCreatingMode, resetAllStates, t, message]);\n\n    // Expose file list to parent component\n    useImperativeHandle(\n      ref,\n      () => ({\n        fileList,\n      }),\n      [fileList]\n    );\n\n    // Check if knowledge base name already exists\n    useEffect(() => {\n      if (!isCreatingMode || !newKnowledgeBaseName) {\n        setNameStatus(\"available\");\n        return;\n      }\n\n      const checkName = async () => {\n        try {\n          const result = await checkKnowledgeBaseName(newKnowledgeBaseName, t);\n          setNameStatus(result.status);\n        } catch (error) {\n          log.error(t(\"knowledgeBase.error.checkName\"), error);\n          setNameStatus(NAME_CHECK_STATUS.CHECK_FAILED); // Handle check failure\n        }\n      };\n\n      const timer = setTimeout(() => {\n        checkName();\n      }, 300); // Debounce for 300ms\n\n      return () => {\n        clearTimeout(timer);\n      };\n    }, [isCreatingMode, newKnowledgeBaseName, t]);\n\n    // Handle file changes\n    const handleChange = useCallback(\n      ({ fileList: newFileList }: { fileList: UploadFile[] }) => {\n        // Ensure only updating current knowledge base's file list\n        if (isCreatingMode || indexName === currentKnowledgeBaseRef.current) {\n          // Deduplicate by name + size + lastModified to avoid duplicates within and across selections\n          const seen = new Set<string>();\n          const deduped: UploadFile[] = [];\n          for (const f of newFileList) {\n            const origin = f.originFileObj as RcFile | undefined;\n            const key = origin\n              ? `${origin.name.toLowerCase()}|${origin.size}|${\n                  origin.lastModified\n                }`\n              : f.name.toLowerCase();\n            if (!seen.has(key)) {\n              seen.add(key);\n              deduped.push(f);\n            }\n          }\n          setFileList(deduped);\n\n          // Trigger file selection callback with deduplicated files\n          const files = deduped\n            .map((file) => file.originFileObj)\n            .filter((file): file is RcFile => !!file);\n          if (files.length > 0) {\n            onFileSelect(files as unknown as File[]);\n          }\n        } else {\n          return;\n        }\n\n        // Check if upload just completed\n        const prevFileList = prevFileListRef.current;\n        const uploadWasInProgress = prevFileList.some(\n          (f) => f.status === \"uploading\"\n        );\n        const uploadIsNowFinished =\n          newFileList.length > 0 &&\n          !newFileList.some((f) => f.status === \"uploading\");\n\n        if (uploadWasInProgress && uploadIsNowFinished) {\n          // After upload completion only call external upload completion callback, let KnowledgeBaseManager manage polling uniformly\n          if (onUpload) {\n            onUpload();\n          }\n        }\n\n        // Note: file selection callback already handled above when list is deduplicated\n      },\n      [indexName, onFileSelect, isCreatingMode, newKnowledgeBaseName, onUpload]\n    );\n\n    // Handle custom upload request\n    const handleCustomRequest = useCallback((options: any) => {\n      // Actual upload is handled by parent component's handleFileUpload\n      const { onSuccess, file } = options;\n      setTimeout(() => {\n        onSuccess({}, file);\n      }, 100);\n    }, []);\n\n    // Upload component properties\n    const uploadProps: UploadProps = {\n      name: \"file\",\n      multiple: true,\n      fileList,\n      onChange: handleChange,\n      customRequest: handleCustomRequest,\n      accept: \".pdf,.docx,.pptx,.xlsx,.md,.txt,.csv\",\n      showUploadList: true,\n      disabled: disabled,\n      progress: {\n        strokeColor: {\n          \"0%\": \"#108ee9\",\n          \"100%\": \"#87d068\",\n        },\n        size: 3,\n        format: (percent?: number) =>\n          percent ? `${parseFloat(percent.toFixed(2))}%` : \"0%\",\n      },\n      beforeUpload: (file) => validateFileType(file, t, message),\n    };\n\n    // Clear previous selection when user starts a new selection via click\n    const handleStartNewSelection = useCallback(() => {\n      setFileList([]);\n      prevFileListRef.current = [];\n    }, []);\n\n    return (\n      <UploadAreaUI\n        fileList={fileList}\n        uploadProps={uploadProps}\n        onStartNewSelection={handleStartNewSelection}\n        isLoading={isLoading}\n        isKnowledgeBaseReady={isKnowledgeBaseReady}\n        isCreatingMode={isCreatingMode}\n        nameStatus={nameStatus}\n        isUploading={isUploading}\n        disabled={disabled}\n        componentHeight={componentHeight}\n        newKnowledgeBaseName={newKnowledgeBaseName}\n        selectedFiles={selectedFiles}\n        modelMismatch={modelMismatch}\n      />\n    );\n  }\n);\n\nexport default UploadArea; "
  },
  {
    "path": "frontend/app/[locale]/knowledges/components/upload/UploadAreaUI.tsx",
    "content": "import React from \"react\";\nimport { useTranslation } from \"react-i18next\";\n\nimport { NAME_CHECK_STATUS } from \"@/const/agentConfig\";\nimport { Upload, Progress } from \"antd\";\nimport { WarningFilled } from \"@ant-design/icons\";\nimport { Inbox } from \"lucide-react\";\nimport type { UploadFile, UploadProps } from \"antd/es/upload/interface\";\n\nconst { Dragger } = Upload;\n\ninterface UploadAreaUIProps {\n  fileList: UploadFile[];\n  uploadProps: UploadProps;\n  onStartNewSelection?: () => void;\n  isLoading: boolean;\n  isKnowledgeBaseReady: boolean;\n  isCreatingMode: boolean;\n  nameStatus: string;\n  isUploading: boolean;\n  disabled: boolean;\n  componentHeight: string;\n  newKnowledgeBaseName: string;\n  selectedFiles: File[];\n  modelMismatch?: boolean;\n}\n\nconst UploadAreaUI: React.FC<UploadAreaUIProps> = ({\n  fileList,\n  uploadProps,\n  onStartNewSelection,\n  isLoading,\n  isKnowledgeBaseReady,\n  isCreatingMode,\n  nameStatus,\n  isUploading,\n  disabled,\n  componentHeight,\n  newKnowledgeBaseName,\n  modelMismatch = false,\n}) => {\n  const { t } = useTranslation(\"common\");\n\n  // Loading state UI\n  if (isLoading) {\n    return (\n      <div className=\"p-3 bg-gray-50 border-t border-gray-200 h-[30%]\">\n        <div className=\"flex justify-center items-center h-full\">\n          <div className=\"animate-spin rounded-full h-6 w-6 border-b-2 border-blue-500 mx-auto mb-2\"></div>\n          <p className=\"text-sm text-blue-600 font-medium ml-2\">\n            {t(\"common.loading\")}\n          </p>\n        </div>\n        {isCreatingMode && isUploading && (\n          <div className=\"mt-2 text-center\">\n            <div className=\"animate-spin rounded-full h-6 w-6 border-b-2 border-blue-500 mx-auto mb-2\"></div>\n            <p className=\"text-sm text-blue-600 font-medium\">\n              {t(\"knowledgeBase.status.uploadingAndCreating\")}\n            </p>\n          </div>\n        )}\n      </div>\n    );\n  }\n\n  // Knowledge base not ready UI\n  if (!isKnowledgeBaseReady && !isCreatingMode) {\n    return (\n      <div className=\"p-3 bg-gray-50 border-t border-gray-200 h-[30%]\">\n        <div className=\"h-full border-2 border-dashed border-gray-200 rounded-md flex flex-col items-center justify-center bg-white\">\n          <WarningFilled className=\"text-[32px] text-yellow-500 mb-4\" />\n          <p className=\"text-gray-600 text-base mb-2\">\n            {t(\"knowledgeBase.status.notReady\")}\n          </p>\n          <p className=\"text-gray-400 text-sm\">{t(\"common.retryLater\")}</p>\n        </div>\n      </div>\n    );\n  }\n\n  // Disabled state UI\n  if (disabled) {\n    return (\n      <div\n        className={`p-3 bg-gray-50 border-t border-gray-200 opacity-50 cursor-not-allowed h-[${componentHeight}]`}\n      >\n        <div className=\"border-2 border-dashed border-gray-300 bg-white rounded-md p-4 text-center flex flex-col items-center justify-center h-full\">\n          <div className=\"mb-0.5 text-blue-500 text-lg\">📄</div>\n          <p className=\"mb-0.5 text-gray-700 text-xs font-medium\">\n            {t(\"knowledgeBase.hint.selectFirst\")}\n          </p>\n        </div>\n      </div>\n    );\n  }\n\n  // Name already exists UI - render different messages based on status\n  if (\n    isCreatingMode &&\n    (nameStatus === NAME_CHECK_STATUS.EXISTS_IN_TENANT ||\n      nameStatus === NAME_CHECK_STATUS.EXISTS_IN_OTHER_TENANT)\n  ) {\n    const messageKey =\n      nameStatus === NAME_CHECK_STATUS.EXISTS_IN_TENANT\n        ? \"knowledgeBase.message.nameExists\"\n        : \"knowledgeBase.error.nameExistsInOtherTenant\";\n\n    return (\n      <div className=\"p-3 bg-gray-50 border-t border-gray-200 h-[30%]\">\n        <div className=\"border-2 border-dashed border-red-200 bg-white rounded-md p-4 text-center flex flex-col items-center justify-center h-full\">\n          <div className=\"mb-4 text-red-500 text-lg\">\n            <WarningFilled style={{ fontSize: 36, color: \"#ff4d4f\" }} />\n          </div>\n          <p className=\"mb-2 text-red-600 text-lg font-medium\">\n            {t(messageKey, { name: newKnowledgeBaseName })}\n          </p>\n          <p className=\"text-gray-500 text-sm max-w-md\">\n            {t(\"knowledgeBase.hint.changeName\")}\n          </p>\n        </div>\n      </div>\n    );\n  }\n\n  // Model mismatch status UI\n  if (modelMismatch) {\n    return (\n      <div className=\"p-3 bg-gray-50 border-t border-gray-200 h-[30%] flex items-center justify-center min-h-[120px]\">\n        <span className=\"text-base font-medium text-center leading-[1.7] text-gray-500\">\n          {t(\"knowledgeBase.upload.modelMismatch.description\")}\n        </span>\n      </div>\n    );\n  }\n\n  // Default UI state\n  return (\n    <div className=\"p-3 bg-gray-50 border-t border-gray-200 h-[30%]\">\n      <div className=\"h-full flex transition-all duration-300 ease-in-out\">\n        {/* Upload area container */}\n        <div\n          className={`transition-all duration-300 ease-in-out ${\n            !isLoading && fileList.length > 0 ? \"w-[40%] pr-2\" : \"w-full\"\n          }`}\n        >\n          <div className=\"relative h-full\">\n            {/* Upload area layer */}\n            <div\n              className=\"absolute inset-0 transition-opacity duration-300 ease-in-out\"\n              onDragOver={(e) => {\n                e.preventDefault();\n                e.stopPropagation();\n              }}\n              onDragEnter={(e) => {\n                e.preventDefault();\n                e.stopPropagation();\n              }}\n              onDragLeave={(e) => {\n                e.preventDefault();\n                e.stopPropagation();\n              }}\n              onDrop={(e) => {\n                e.preventDefault();\n                e.stopPropagation();\n              }}\n            >\n              <div className=\"h-full\" onClick={() => onStartNewSelection?.()}>\n                <Dragger\n                  {...uploadProps}\n                  className=\"!h-full flex flex-col justify-center !bg-transparent !border-gray-200\"\n                  showUploadList={false}\n                >\n                  <div className=\"flex flex-col items-center justify-center h-full\">\n                    <p className=\"ant-upload-drag-icon !mb-4\">\n                      <Inbox size={48} className=\"text-blue-600\" />\n                    </p>\n                    <p className=\"ant-upload-text !mb-2 text-base\">\n                      {t(\"knowledgeBase.upload.dragHint\")}\n                    </p>\n                    <p className=\"ant-upload-hint text-gray-500\">\n                      {t(\"knowledgeBase.upload.supportedFormats\")}\n                    </p>\n                  </div>\n                </Dragger>\n              </div>\n            </div>\n          </div>\n        </div>\n\n        {/* File list area */}\n        <div\n          className={`rounded-lg transition-all duration-300 ease-in-out overflow-hidden ${\n            !isLoading && fileList.length > 0\n              ? \"w-[60%] opacity-100 pl-2\"\n              : \"w-0 opacity-0\"\n          }`}\n        >\n          {fileList.length > 0 && !isLoading && (\n            <div className=\"h-full\">\n              <div className=\"h-full border border-gray-200 rounded-lg\">\n                <div className=\"flex items-center justify-between p-3 border-b border-gray-100 bg-gray-50\">\n                  <h4 className=\"text-sm font-medium text-gray-700 m-0\">\n                    {t(\"knowledgeBase.upload.completed\")}\n                  </h4>\n                  <span className=\"text-xs text-gray-500\">\n                    {t(\"knowledgeBase.upload.fileCount\", {\n                      count: fileList.length,\n                    })}\n                  </span>\n                </div>\n                <div className=\"overflow-auto h-[calc(100%_-_41px)]\">\n                  {fileList.map((file) => (\n                    <div\n                      key={file.uid}\n                      className=\"border-b border-gray-100 last:border-b-0\"\n                    >\n                      <div className=\"flex items-center justify-between py-2 px-3 hover:bg-gray-50 transition-colors\">\n                        <div className=\"flex items-center flex-1 min-w-0\">\n                          <div className=\"flex-1 min-w-0\">\n                            <div className=\"text-xs font-medium text-gray-700 truncate\">\n                              {file.name}\n                            </div>\n                            {file.status === \"uploading\" && (\n                              <div className=\"mt-1\">\n                                <Progress\n                                  percent={file.percent}\n                                  size=\"small\"\n                                  showInfo={false}\n                                  strokeColor={{\n                                    \"0%\": \"#108ee9\",\n                                    \"100%\": \"#87d068\",\n                                  }}\n                                />\n                              </div>\n                            )}\n                          </div>\n                        </div>\n                        <div className=\"ml-3 flex items-center text-xs\">\n                          {file.status === \"uploading\" && (\n                            <span className=\"text-blue-500\">\n                              {t(\"knowledgeBase.upload.status.uploading\")}\n                            </span>\n                          )}\n                          {file.status === \"done\" && (\n                            <span className=\"text-green-500\">\n                              {t(\"knowledgeBase.upload.status.completed\")}\n                            </span>\n                          )}\n                          {file.status === \"error\" && (\n                            <span className=\"text-red-500\">\n                              {t(\"knowledgeBase.upload.status.failed\")}\n                            </span>\n                          )}\n                        </div>\n                      </div>\n                    </div>\n                  ))}\n                </div>\n              </div>\n            </div>\n          )}\n        </div>\n      </div>\n\n      {isCreatingMode && isUploading && (\n        <div className=\"mt-2 text-center\">\n          <div className=\"animate-spin rounded-full h-6 w-6 border-b-2 border-blue-500 mx-auto mb-2\"></div>\n          <p className=\"text-sm text-blue-600 font-medium\">\n            {t(\"knowledgeBase.status.uploadingAndCreating\")}\n          </p>\n        </div>\n      )}\n    </div>\n  );\n};\n\nexport default UploadAreaUI;\n"
  },
  {
    "path": "frontend/app/[locale]/knowledges/contexts/DocumentContext.tsx",
    "content": "\"use client\"\n\nimport { createContext, useReducer, useContext, ReactNode, useCallback, useEffect } from \"react\";\nimport { useTranslation } from 'react-i18next';\n\nimport { DOCUMENT_ACTION_TYPES } from \"@/const/knowledgeBase\";\nimport knowledgeBaseService from \"@/services/knowledgeBaseService\";\nimport { DocumentState, DocumentAction } from \"@/types/knowledgeBase\";\nimport log from \"@/lib/logger\";\n\n// Reducer function\nconst documentReducer = (state: DocumentState, action: DocumentAction): DocumentState => {\n  switch (action.type) {\n    case DOCUMENT_ACTION_TYPES.FETCH_SUCCESS:\n      return {\n        ...state,\n        documentsMap: {\n          ...state.documentsMap,\n          [action.payload.kbId]: action.payload.documents\n        },\n        isLoadingDocuments: false,\n        error: null\n      };\n    case DOCUMENT_ACTION_TYPES.SELECT_DOCUMENT:\n      // Toggle document selection\n      const docId = action.payload;\n      const isSelected = state.selectedIds.includes(docId);\n      return {\n        ...state,\n        selectedIds: isSelected\n          ? state.selectedIds.filter(id => id !== docId)\n          : [...state.selectedIds, docId]\n      };\n    case DOCUMENT_ACTION_TYPES.SELECT_DOCUMENTS:\n      return {\n        ...state,\n        selectedIds: action.payload\n      };\n    case DOCUMENT_ACTION_TYPES.SELECT_ALL:\n      const { kbId, selected } = action.payload;\n      const documents = state.documentsMap[kbId] || [];\n      \n      // If selected is true, add all document IDs, else remove all\n      const newSelectedIds = selected\n        ? [...new Set([...state.selectedIds, ...documents.map(doc => doc.id)])]\n        : state.selectedIds.filter(id => !documents.some(doc => doc.id === id));\n      \n      return {\n        ...state,\n        selectedIds: newSelectedIds\n      };\n    case DOCUMENT_ACTION_TYPES.SET_UPLOAD_FILES:\n      return {\n        ...state,\n        uploadFiles: action.payload\n      };\n    case DOCUMENT_ACTION_TYPES.SET_UPLOADING:\n      return {\n        ...state,\n        isUploading: action.payload\n      };\n    case DOCUMENT_ACTION_TYPES.SET_LOADING_DOCUMENTS:\n      return {\n        ...state,\n        isLoadingDocuments: action.payload\n      };\n    case DOCUMENT_ACTION_TYPES.DELETE_DOCUMENT:\n      const { kbId: deleteKbId, docId: deleteDocId } = action.payload;\n      // Remove the document from the map and the selected IDs\n      return {\n        ...state,\n        documentsMap: {\n          ...state.documentsMap,\n          [deleteKbId]: state.documentsMap[deleteKbId]?.filter(doc => doc.id !== deleteDocId) || []\n        },\n        selectedIds: state.selectedIds.filter(id => id !== deleteDocId)\n      };\n    case DOCUMENT_ACTION_TYPES.SET_LOADING_KB_ID:\n      const { kbId: loadingKbId, isLoading } = action.payload;\n      const newLoadingKbIds = new Set(state.loadingKbIds);\n      \n      if (isLoading) {\n        newLoadingKbIds.add(loadingKbId);\n      } else {\n        newLoadingKbIds.delete(loadingKbId);\n      }\n      \n      return {\n        ...state,\n        loadingKbIds: newLoadingKbIds\n      };\n    case DOCUMENT_ACTION_TYPES.CLEAR_DOCUMENTS:\n      return {\n        ...state,\n        documentsMap: {},\n        selectedIds: [],\n        error: null\n      };\n    case DOCUMENT_ACTION_TYPES.ERROR:\n      return {\n        ...state,\n        error: action.payload,\n        isLoadingDocuments: false\n      };\n    default:\n      return state;\n  }\n};\n\n// Create context with default values\nexport const DocumentContext = createContext<{\n  state: DocumentState;\n  dispatch: React.Dispatch<DocumentAction>;\n  fetchDocuments: (kbId: string, forceRefresh?: boolean, kbSource?: string) => Promise<void>;\n  uploadDocuments: (kbId: string, files: File[]) => Promise<void>;\n  deleteDocument: (kbId: string, docId: string) => Promise<void>;\n}>({\n  state: {\n    documentsMap: {},\n    selectedIds: [],\n    uploadFiles: [],\n    isUploading: false,\n    loadingKbIds: new Set<string>(),\n    isLoadingDocuments: false,\n    error: null\n  },\n  dispatch: () => {},\n  fetchDocuments: async () => {},\n  uploadDocuments: async () => {},\n  deleteDocument: async () => {}\n});\n\n// Custom hook for using the context\nexport const useDocumentContext = () => useContext(DocumentContext);\n\n// Provider component\ninterface DocumentProviderProps {\n  children: ReactNode;\n}\n\nexport const DocumentProvider: React.FC<DocumentProviderProps> = ({ children }) => {\n  const { t } = useTranslation();\n  const [state, dispatch] = useReducer(documentReducer, {\n    documentsMap: {},\n    selectedIds: [],\n    uploadFiles: [],\n    isUploading: false,\n    loadingKbIds: new Set<string>(),\n    isLoadingDocuments: false,\n    error: null\n  });\n\n  // Listen for document update events\n  useEffect(() => {\n    const handleDocumentsUpdated = (event: Event) => {\n      const customEvent = event as CustomEvent;\n      if (customEvent.detail && customEvent.detail.kbId && customEvent.detail.documents) {\n        const { kbId, documents } = customEvent.detail;\n        \n        // Update document information directly\n        dispatch({ \n          type: DOCUMENT_ACTION_TYPES.FETCH_SUCCESS, \n          payload: { kbId, documents } \n        });\n      }\n    };\n    \n    // Add event listener\n    window.addEventListener('documentsUpdated', handleDocumentsUpdated as EventListener);\n    \n    // Cleanup function\n    return () => {\n      window.removeEventListener('documentsUpdated', handleDocumentsUpdated as EventListener);\n    };\n  }, []);\n\n  // Fetch documents for a knowledge base\n  const fetchDocuments = useCallback(async (kbId: string, forceRefresh?: boolean, kbSource?: string) => {\n    // Skip if already loading this kb\n    if (state.loadingKbIds.has(kbId)) return;\n\n    // If forceRefresh is false and we have cached data, return directly\n    if (!forceRefresh && state.documentsMap[kbId] && state.documentsMap[kbId].length > 0) {\n      return; // If we have cached data and don't need force refresh, return directly without server request\n    }\n\n    dispatch({ type: DOCUMENT_ACTION_TYPES.SET_LOADING_KB_ID, payload: { kbId, isLoading: true } });\n\n    try {\n      // Use getAllFiles() to get documents including those not yet in ES\n      const documents = await knowledgeBaseService.getAllFiles(kbId, kbSource);\n      dispatch({\n        type: DOCUMENT_ACTION_TYPES.FETCH_SUCCESS,\n        payload: { kbId, documents }\n      });\n    } catch (error) {\n      log.error(t('document.error.fetch'), error);\n      dispatch({ type: DOCUMENT_ACTION_TYPES.ERROR, payload: t('document.error.load') });\n    } finally {\n      dispatch({ type: DOCUMENT_ACTION_TYPES.SET_LOADING_KB_ID, payload: { kbId, isLoading: false } });\n    }\n  }, [state.loadingKbIds, state.documentsMap, t]);\n\n  // Upload documents to a knowledge base\n  const uploadDocuments = useCallback(async (kbId: string, files: File[]) => {\n    dispatch({ type: DOCUMENT_ACTION_TYPES.SET_UPLOADING, payload: true });\n    \n    try {\n      await knowledgeBaseService.uploadDocuments(kbId, files);\n      \n      // Set loading state before fetching latest documents\n      dispatch({ type: DOCUMENT_ACTION_TYPES.SET_LOADING_DOCUMENTS, payload: true });\n      \n      // Get latest status immediately after upload\n      const latestDocuments = await knowledgeBaseService.getAllFiles(kbId);\n      // Update document status\n      dispatch({ \n        type: DOCUMENT_ACTION_TYPES.FETCH_SUCCESS, \n        payload: { kbId, documents: latestDocuments } \n      });\n      \n      // Trigger document status update event to notify other components\n      window.dispatchEvent(new CustomEvent('documentsUpdated', {\n        detail: { \n          kbId,\n          documents: latestDocuments \n        }\n      }));\n      \n      // Clear upload files\n      dispatch({ type: DOCUMENT_ACTION_TYPES.SET_UPLOAD_FILES, payload: [] });\n    } catch (error) {\n      log.error(t('document.error.upload'), error);\n      dispatch({ type: DOCUMENT_ACTION_TYPES.ERROR, payload: `${t('document.error.upload')}. ${t('document.error.retry')}` });\n    } finally {\n      dispatch({ type: DOCUMENT_ACTION_TYPES.SET_UPLOADING, payload: false });\n      dispatch({ type: DOCUMENT_ACTION_TYPES.SET_LOADING_DOCUMENTS, payload: false });\n    }\n  }, [t]);\n\n  // Delete a document\n  const deleteDocument = useCallback(async (kbId: string, docId: string) => {\n    try {\n      await knowledgeBaseService.deleteDocument(docId, kbId);\n      dispatch({ \n        type: DOCUMENT_ACTION_TYPES.DELETE_DOCUMENT, \n        payload: { kbId, docId } \n      });\n    } catch (error) {\n      log.error(t('document.error.delete'), error);\n      dispatch({ type: DOCUMENT_ACTION_TYPES.ERROR, payload: `${t('document.error.delete')}. ${t('document.error.retry')}` });\n    }\n  }, [t]);\n\n  return (\n    <DocumentContext.Provider \n      value={{ \n        state, \n        dispatch,\n        fetchDocuments,\n        uploadDocuments,\n        deleteDocument,\n      }}\n    >\n      {children}\n    </DocumentContext.Provider>\n  );\n}; "
  },
  {
    "path": "frontend/app/[locale]/knowledges/contexts/KnowledgeBaseContext.tsx",
    "content": "\"use client\";\n\nimport {\n  createContext,\n  useReducer,\n  useEffect,\n  useContext,\n  ReactNode,\n  useCallback,\n  useMemo,\n} from \"react\";\nimport { useTranslation } from \"react-i18next\";\n\nimport knowledgeBaseService from \"@/services/knowledgeBaseService\";\n\nimport {\n  KnowledgeBase,\n  KnowledgeBaseState,\n  KnowledgeBaseAction,\n  DataMateSyncError,\n} from \"@/types/knowledgeBase\";\nimport { KNOWLEDGE_BASE_ACTION_TYPES } from \"@/const/knowledgeBase\";\n\nimport { useConfig } from \"@/hooks/useConfig\";\nimport log from \"@/lib/logger\";\n\n// Reducer function\nconst knowledgeBaseReducer = (\n  state: KnowledgeBaseState,\n  action: KnowledgeBaseAction\n): KnowledgeBaseState => {\n  switch (action.type) {\n    case KNOWLEDGE_BASE_ACTION_TYPES.FETCH_SUCCESS:\n      return {\n        ...state,\n        knowledgeBases: action.payload,\n        error: null,\n      };\n    case KNOWLEDGE_BASE_ACTION_TYPES.SELECT_KNOWLEDGE_BASE:\n      return {\n        ...state,\n        selectedIds: action.payload,\n      };\n    case KNOWLEDGE_BASE_ACTION_TYPES.SET_ACTIVE:\n      return {\n        ...state,\n        activeKnowledgeBase: action.payload,\n      };\n    case KNOWLEDGE_BASE_ACTION_TYPES.SET_MODEL:\n      return {\n        ...state,\n        currentEmbeddingModel: action.payload,\n      };\n    case KNOWLEDGE_BASE_ACTION_TYPES.DELETE_KNOWLEDGE_BASE:\n      return {\n        ...state,\n        knowledgeBases: state.knowledgeBases.filter(\n          (kb) => kb.id !== action.payload\n        ),\n        selectedIds: state.selectedIds.filter((id) => id !== action.payload),\n        activeKnowledgeBase:\n          state.activeKnowledgeBase?.id === action.payload\n            ? null\n            : state.activeKnowledgeBase,\n      };\n    case KNOWLEDGE_BASE_ACTION_TYPES.ADD_KNOWLEDGE_BASE:\n      if (state.knowledgeBases.some((kb) => kb.id === action.payload.id)) {\n        return state; // If the knowledge base already exists, do not insert it\n      }\n      return {\n        ...state,\n        knowledgeBases: [...state.knowledgeBases, action.payload],\n      };\n    case KNOWLEDGE_BASE_ACTION_TYPES.LOADING:\n      return {\n        ...state,\n        isLoading: action.payload,\n      };\n    case KNOWLEDGE_BASE_ACTION_TYPES.SET_SYNC_LOADING:\n      return {\n        ...state,\n        syncLoading: action.payload,\n      };\n    case KNOWLEDGE_BASE_ACTION_TYPES.SET_DATA_MATE_SYNC_ERROR:\n      return {\n        ...state,\n        dataMateSyncError: action.payload,\n      };\n    case KNOWLEDGE_BASE_ACTION_TYPES.ERROR:\n      return {\n        ...state,\n        error: action.payload,\n      };\n    default:\n      return state;\n  }\n};\n\n// Create context with default values\nexport const KnowledgeBaseContext = createContext<{\n  state: KnowledgeBaseState;\n  dispatch: React.Dispatch<KnowledgeBaseAction>;\n  fetchKnowledgeBases: (\n    skipHealthCheck?: boolean,\n    shouldLoadSelected?: boolean\n  ) => Promise<void>;\n  createKnowledgeBase: (\n    name: string,\n    description: string,\n    source?: string,\n    ingroup_permission?: string,\n    group_ids?: number[]\n  ) => Promise<KnowledgeBase | null>;\n  deleteKnowledgeBase: (id: string) => Promise<boolean>;\n  selectKnowledgeBase: (id: string) => void;\n  setActiveKnowledgeBase: (kb: KnowledgeBase | null) => void;\n  isKnowledgeBaseSelectable: (kb: KnowledgeBase) => boolean;\n  hasKnowledgeBaseModelMismatch: (kb: KnowledgeBase) => boolean;\n  refreshKnowledgeBaseData: (forceRefresh?: boolean) => Promise<void>;\n  refreshKnowledgeBaseDataWithDataMate: () => Promise<void>;\n}>({\n  state: {\n    knowledgeBases: [],\n    selectedIds: [],\n    activeKnowledgeBase: null,\n    currentEmbeddingModel: null,\n    isLoading: false,\n    syncLoading: false,\n    error: null,\n  },\n  dispatch: () => {},\n  fetchKnowledgeBases: async () => {},\n  createKnowledgeBase: async () => null,\n  deleteKnowledgeBase: async () => false,\n  selectKnowledgeBase: () => {},\n  setActiveKnowledgeBase: () => {},\n  isKnowledgeBaseSelectable: () => false,\n  hasKnowledgeBaseModelMismatch: () => false,\n  refreshKnowledgeBaseData: async () => {},\n  refreshKnowledgeBaseDataWithDataMate: async () => {},\n});\n\n// Custom hook for using the context\nexport const useKnowledgeBaseContext = () => useContext(KnowledgeBaseContext);\n\n// Provider component\ninterface KnowledgeBaseProviderProps {\n  children: ReactNode;\n}\n\nexport const KnowledgeBaseProvider: React.FC<KnowledgeBaseProviderProps> = ({\n  children,\n}) => {\n  const { t } = useTranslation();\n  const { appConfig, modelConfig } = useConfig();\n  const [state, dispatch] = useReducer(knowledgeBaseReducer, {\n    knowledgeBases: [],\n    selectedIds: [],\n    activeKnowledgeBase: null,\n    currentEmbeddingModel: null,\n    isLoading: false,\n    syncLoading: false,\n    error: null,\n    dataMateSyncError: undefined,\n  });\n\n  // Check if knowledge base is selectable - memoized with useCallback\n  const isKnowledgeBaseSelectable = useCallback(\n    (kb: KnowledgeBase): boolean => {\n      // If no current embedding model is set, not selectable\n      if (!state.currentEmbeddingModel) {\n        return false;\n      }\n\n      // Check if knowledge base has content (documents or chunks)\n      const hasContent =\n        (kb.documentCount || 0) > 0 || (kb.chunkCount || 0) > 0;\n\n      // Empty knowledge bases cannot be selected\n      if (!hasContent) {\n        return false;\n      }\n\n      // DataMate knowledge bases are selectable if they have content (even if model doesn't match)\n      if (kb.source === \"datamate\") {\n        return true;\n      }\n\n      // For local knowledge bases, only selectable when model exactly matches current model\n      return (\n        kb.embeddingModel === \"unknown\" ||\n        kb.embeddingModel === state.currentEmbeddingModel\n      );\n    },\n    [state.currentEmbeddingModel]\n  );\n\n  // Check if knowledge base has model mismatch (for display purposes)\n  const hasKnowledgeBaseModelMismatch = useCallback(\n    (kb: KnowledgeBase): boolean => {\n      if (!state.currentEmbeddingModel || kb.embeddingModel === \"unknown\") {\n        return false;\n      }\n      // DataMate knowledge bases don't report model mismatch (they are always selectable)\n      if (kb.source === \"datamate\") {\n        return false;\n      }\n      return kb.embeddingModel !== state.currentEmbeddingModel;\n    },\n    [state.currentEmbeddingModel]\n  );\n\n  // Load knowledge base data (supports force fetch from server and load selected status) - optimized with useCallback\n  const fetchKnowledgeBases = useCallback(\n    async (\n      skipHealthCheck = true,\n      shouldLoadSelected = true,\n      includeDataMateSync = true\n    ) => {\n      // If already loading, return directly\n      if (state.isLoading) {\n        return;\n      }\n\n      dispatch({ type: KNOWLEDGE_BASE_ACTION_TYPES.LOADING, payload: true });\n      // Clear previous DataMate sync error\n      dispatch({\n        type: KNOWLEDGE_BASE_ACTION_TYPES.SET_DATA_MATE_SYNC_ERROR,\n        payload: undefined,\n      });\n      try {\n        // Clear possible cache interference\n        localStorage.removeItem(\"preloaded_kb_data\");\n        localStorage.removeItem(\"kb_cache\");\n\n        const result = await knowledgeBaseService.getKnowledgeBasesInfo(\n          skipHealthCheck,\n          includeDataMateSync,\n          null,\n          appConfig?.datamateUrl ?? null\n        );\n\n        dispatch({\n          type: KNOWLEDGE_BASE_ACTION_TYPES.FETCH_SUCCESS,\n          payload: result.knowledgeBases,\n        });\n\n        // Set DataMate sync error if present and throw to trigger error handling\n        if (result.dataMateSyncError) {\n          dispatch({\n            type: KNOWLEDGE_BASE_ACTION_TYPES.SET_DATA_MATE_SYNC_ERROR,\n            payload: result.dataMateSyncError,\n          });\n          // Throw DataMateSyncError to signal failure to the caller\n          throw new DataMateSyncError(result.dataMateSyncError);\n        }\n      } catch (error) {\n        // Check if it's a DataMate sync error\n        if (error instanceof DataMateSyncError) {\n          // Re-throw DataMateSyncError to be handled by the caller\n          throw error;\n        }\n        log.error(t(\"knowledgeBase.error.fetchList\"), error);\n        dispatch({\n          type: KNOWLEDGE_BASE_ACTION_TYPES.ERROR,\n          payload: t(\"knowledgeBase.error.fetchListRetry\"),\n        });\n      } finally {\n        dispatch({ type: KNOWLEDGE_BASE_ACTION_TYPES.LOADING, payload: false });\n      }\n    },\n    [state.isLoading, t]\n  );\n\n  // Select knowledge base - memoized with useCallback\n  const selectKnowledgeBase = useCallback(\n    (id: string) => {\n      const kb = state.knowledgeBases.find((kb) => kb.id === id);\n      if (!kb) return;\n\n      const isSelected = state.selectedIds.includes(id);\n\n      // If trying to select an item, check for model compatibility. Deselection is always allowed.\n      if (!isSelected && !isKnowledgeBaseSelectable(kb)) {\n        log.warn(`Cannot select knowledge base ${kb.name}, model mismatch`);\n        return;\n      }\n\n      // Toggle selection status\n      const newSelectedIds = isSelected\n        ? state.selectedIds.filter((kbId) => kbId !== id)\n        : [...state.selectedIds, id];\n\n      // Update state\n      dispatch({\n        type: KNOWLEDGE_BASE_ACTION_TYPES.SELECT_KNOWLEDGE_BASE,\n        payload: newSelectedIds,\n      });\n\n      // Note: removed logic for saving selection status to config\n      // This feature is no longer needed as we don't store data config\n    },\n    [state.knowledgeBases, state.selectedIds, isKnowledgeBaseSelectable]\n  );\n\n  // Set current active knowledge base - memoized with useCallback\n  const setActiveKnowledgeBase = useCallback((kb: KnowledgeBase | null) => {\n    dispatch({ type: KNOWLEDGE_BASE_ACTION_TYPES.SET_ACTIVE, payload: kb });\n  }, []);\n\n  // Create knowledge base - memoized with useCallback\n  const createKnowledgeBase = useCallback(\n    async (\n      name: string,\n      description: string,\n      source: string = \"elasticsearch\",\n      ingroup_permission?: string,\n      group_ids?: number[]\n    ) => {\n      try {\n        const newKB = await knowledgeBaseService.createKnowledgeBase({\n          name,\n          description,\n          source,\n          embeddingModel:\n            state.currentEmbeddingModel || \"text-embedding-3-small\",\n          ingroup_permission,\n          group_ids,\n        });\n        return newKB;\n      } catch (error) {\n        log.error(t(\"knowledgeBase.error.create\"), error);\n        dispatch({\n          type: KNOWLEDGE_BASE_ACTION_TYPES.ERROR,\n          payload: t(\"knowledgeBase.error.createRetry\"),\n        });\n        return null;\n      }\n    },\n    [state.currentEmbeddingModel, t]\n  );\n\n  // Delete knowledge base - memoized with useCallback\n  const deleteKnowledgeBase = useCallback(\n    async (id: string) => {\n      try {\n        await knowledgeBaseService.deleteKnowledgeBase(id);\n\n        // Update knowledge base list\n        dispatch({\n          type: KNOWLEDGE_BASE_ACTION_TYPES.DELETE_KNOWLEDGE_BASE,\n          payload: id,\n        });\n\n        // If current active knowledge base is deleted, clear active state\n        if (state.activeKnowledgeBase?.id === id) {\n          dispatch({\n            type: KNOWLEDGE_BASE_ACTION_TYPES.SET_ACTIVE,\n            payload: null,\n          });\n        }\n\n        // Update selected knowledge base list\n        const newSelectedIds = state.selectedIds.filter((kbId) => kbId !== id);\n\n        if (newSelectedIds.length !== state.selectedIds.length) {\n          // Update state\n          dispatch({\n            type: KNOWLEDGE_BASE_ACTION_TYPES.SELECT_KNOWLEDGE_BASE,\n            payload: newSelectedIds,\n          });\n        }\n\n        return true;\n      } catch (error) {\n        log.error(t(\"knowledgeBase.error.delete\"), error);\n        dispatch({\n          type: KNOWLEDGE_BASE_ACTION_TYPES.ERROR,\n          payload: t(\"knowledgeBase.error.deleteRetry\"),\n        });\n        return false;\n      }\n    },\n    [state.knowledgeBases, state.selectedIds, state.activeKnowledgeBase]\n  );\n\n  // Add a function to refresh the knowledge base data\n  const refreshKnowledgeBaseData = useCallback(\n    async (forceRefresh = false) => {\n      try {\n        const result = await knowledgeBaseService.getKnowledgeBasesInfo(\n          false,\n          true,\n          null,\n          appConfig?.datamateUrl ?? null\n        );\n\n        dispatch({\n          type: KNOWLEDGE_BASE_ACTION_TYPES.FETCH_SUCCESS,\n          payload: result.knowledgeBases,\n        });\n\n        if (result.dataMateSyncError) {\n          dispatch({\n            type: KNOWLEDGE_BASE_ACTION_TYPES.SET_DATA_MATE_SYNC_ERROR,\n            payload: result.dataMateSyncError,\n          });\n        }\n\n        // If there is an active knowledge base, also refresh its document information\n        if (state.activeKnowledgeBase) {\n          // Publish document update event to notify document list component to refresh document data\n          try {\n            const documents = await knowledgeBaseService.getAllFiles(\n              state.activeKnowledgeBase.id,\n              state.activeKnowledgeBase.source\n            );\n            log.log(\"documents\", documents);\n            window.dispatchEvent(\n              new CustomEvent(\"documentsUpdated\", {\n                detail: {\n                  kbId: state.activeKnowledgeBase.id,\n                  documents,\n                },\n              })\n            );\n          } catch (error) {\n            log.error(\"Failed to refresh document information:\", error);\n          }\n        }\n      } catch (error) {\n        log.error(\"Failed to refresh knowledge base data:\", error);\n        dispatch({\n          type: KNOWLEDGE_BASE_ACTION_TYPES.ERROR,\n          payload: \"Failed to refresh knowledge base data\",\n        });\n      }\n    },\n    [state.activeKnowledgeBase]\n  );\n\n  // Add a function to refresh the knowledge base data with DataMate sync and create records\n  const refreshKnowledgeBaseDataWithDataMate = useCallback(async () => {\n    try {\n      const result = await knowledgeBaseService.getKnowledgeBasesInfo(\n        false,\n        true,\n        null,\n        appConfig?.datamateUrl ?? null\n      );\n\n      dispatch({\n        type: KNOWLEDGE_BASE_ACTION_TYPES.FETCH_SUCCESS,\n        payload: result.knowledgeBases,\n      });\n\n      // Handle DataMate sync error\n      if (result.dataMateSyncError) {\n        dispatch({\n          type: KNOWLEDGE_BASE_ACTION_TYPES.SET_DATA_MATE_SYNC_ERROR,\n          payload: result.dataMateSyncError,\n        });\n        // Throw DataMateSyncError to signal failure to the caller\n        throw new DataMateSyncError(result.dataMateSyncError);\n      }\n\n      // If there is an active knowledge base, also refresh its document information\n      if (state.activeKnowledgeBase) {\n        // Publish document update event to notify document list component to refresh document data\n        try {\n          const documents = await knowledgeBaseService.getAllFiles(\n            state.activeKnowledgeBase.id,\n            state.activeKnowledgeBase.source\n          );\n          log.log(\"documents\", documents);\n          window.dispatchEvent(\n            new CustomEvent(\"documentsUpdated\", {\n              detail: {\n                kbId: state.activeKnowledgeBase.id,\n                documents,\n              },\n            })\n          );\n        } catch (error) {\n          log.error(\"Failed to refresh document information:\", error);\n        }\n      }\n    } catch (error) {\n      // Check if it's a DataMate sync error - re-throw to be handled by caller\n      if (error instanceof DataMateSyncError) {\n        throw error;\n      }\n      log.error(\"Failed to refresh knowledge base data with DataMate:\", error);\n      dispatch({\n        type: KNOWLEDGE_BASE_ACTION_TYPES.ERROR,\n        payload: \"Failed to refresh knowledge base data with DataMate\",\n      });\n    }\n  }, [state.activeKnowledgeBase]);\n\n  // Initial data loading - with optimized dependencies\n  useEffect(() => {\n    // Use ref to track if data has been loaded to avoid duplicate loading\n    let initialDataLoaded = false;\n\n    // Get current model config at initial load\n    const loadInitialData = async () => {\n      if (modelConfig?.embedding?.modelName) {\n        dispatch({\n          type: KNOWLEDGE_BASE_ACTION_TYPES.SET_MODEL,\n          payload: modelConfig.embedding.modelName,\n        });\n      }\n\n      // Don't load knowledge base list here, wait for knowledgeBaseDataUpdated event\n    };\n\n    loadInitialData();\n\n    // Listen for embedding model change event\n    const handleEmbeddingModelChange = (e: CustomEvent) => {\n      const newModel = e.detail.model || null;\n\n      // If model changes\n      if (newModel !== state.currentEmbeddingModel) {\n        dispatch({\n          type: KNOWLEDGE_BASE_ACTION_TYPES.SET_MODEL,\n          payload: newModel,\n        });\n\n        // Reload knowledge base list when model changes\n        fetchKnowledgeBases(true, true, true);\n      }\n    };\n\n    // Listen for env config change event\n    const handleEnvConfigChanged = () => {\n      // Reload env related config\n      if (modelConfig?.embedding?.modelName !== state.currentEmbeddingModel) {\n        dispatch({\n          type: KNOWLEDGE_BASE_ACTION_TYPES.SET_MODEL,\n          payload: modelConfig?.embedding?.modelName || null,\n        });\n\n        // Reload knowledge base list when model changes\n        fetchKnowledgeBases(true, true, true);\n      }\n    };\n\n    // Listen for knowledge base data update event\n    const handleKnowledgeBaseDataUpdated = (e: Event) => {\n      // Check if need to force fetch data from server\n      const customEvent = e as CustomEvent;\n      const forceRefresh = customEvent.detail?.forceRefresh === true;\n\n      // If first time loading data or force refresh, get from server\n      if (!initialDataLoaded || forceRefresh) {\n        // For force refresh, don't reload user selections to preserve current state\n        fetchKnowledgeBases(false, !forceRefresh, true);\n        initialDataLoaded = true;\n      }\n    };\n\n    window.addEventListener(\n      \"embeddingModelChanged\",\n      handleEmbeddingModelChange as EventListener\n    );\n    window.addEventListener(\n      \"configChanged\",\n      handleEnvConfigChanged as EventListener\n    );\n    window.addEventListener(\n      \"knowledgeBaseDataUpdated\",\n      handleKnowledgeBaseDataUpdated as EventListener\n    );\n\n    return () => {\n      window.removeEventListener(\n        \"embeddingModelChanged\",\n        handleEmbeddingModelChange as EventListener\n      );\n      window.removeEventListener(\n        \"configChanged\",\n        handleEnvConfigChanged as EventListener\n      );\n      window.removeEventListener(\n        \"knowledgeBaseDataUpdated\",\n        handleKnowledgeBaseDataUpdated as EventListener\n      );\n    };\n  }, [fetchKnowledgeBases, state.currentEmbeddingModel]);\n\n  // Memoized context value to prevent unnecessary re-renders\n  const contextValue = useMemo(\n    () => ({\n      state,\n      dispatch,\n      fetchKnowledgeBases,\n      createKnowledgeBase,\n      deleteKnowledgeBase,\n      selectKnowledgeBase,\n      setActiveKnowledgeBase,\n      isKnowledgeBaseSelectable,\n      hasKnowledgeBaseModelMismatch,\n      refreshKnowledgeBaseData,\n      refreshKnowledgeBaseDataWithDataMate,\n    }),\n    [\n      state,\n      fetchKnowledgeBases,\n      createKnowledgeBase,\n      deleteKnowledgeBase,\n      selectKnowledgeBase,\n      setActiveKnowledgeBase,\n      isKnowledgeBaseSelectable,\n      refreshKnowledgeBaseData,\n      refreshKnowledgeBaseDataWithDataMate,\n    ]\n  );\n\n  return (\n    <KnowledgeBaseContext.Provider value={contextValue}>\n      {children}\n    </KnowledgeBaseContext.Provider>\n  );\n};\n"
  },
  {
    "path": "frontend/app/[locale]/knowledges/contexts/UIStateContext.tsx",
    "content": "\"use client\"\n\nimport { createContext, useReducer, useContext, ReactNode, useCallback } from \"react\"\nimport { UIState, UIAction } from \"@/types/knowledgeBase\"\nimport { UI_ACTION_TYPES, NOTIFICATION_TYPES } from \"@/const/knowledgeBase\"\n\n// Generate unique ID for notifications\nconst generateId = () => {\n  return Date.now().toString(36) + Math.random().toString(36).substring(2);\n};\n\n// Reducer function\nconst uiReducer = (state: UIState, action: UIAction): UIState => {\n  switch (action.type) {\n    case UI_ACTION_TYPES.SET_DRAGGING:\n      return {\n        ...state,\n        isDragging: action.payload\n      };\n    case UI_ACTION_TYPES.TOGGLE_CREATE_MODAL:\n      return {\n        ...state,\n        isCreateModalVisible: action.payload\n      };\n    case UI_ACTION_TYPES.TOGGLE_DOC_MODAL:\n      return {\n        ...state,\n        isDocModalVisible: action.payload\n      };\n    case UI_ACTION_TYPES.ADD_NOTIFICATION:\n      const newNotification = {\n        id: generateId(),\n        message: action.payload.message,\n        type: action.payload.type\n      };\n      return {\n        ...state,\n        notifications: [...state.notifications, newNotification]\n      };\n    case UI_ACTION_TYPES.REMOVE_NOTIFICATION:\n      return {\n        ...state,\n        notifications: state.notifications.filter(n => n.id !== action.payload)\n      };\n    default:\n      return state;\n  }\n};\n\n// Create context with default values\nexport const UIContext = createContext<{\n  state: UIState;\n  dispatch: React.Dispatch<UIAction>;\n  setDragging: (isDragging: boolean) => void;\n  toggleCreateModal: (isVisible: boolean) => void;\n  toggleDocModal: (isVisible: boolean) => void;\n  showNotification: (message: string, type: typeof NOTIFICATION_TYPES.SUCCESS | typeof NOTIFICATION_TYPES.ERROR | typeof NOTIFICATION_TYPES.INFO | typeof NOTIFICATION_TYPES.WARNING) => void;\n  removeNotification: (id: string) => void;\n}>({\n  state: {\n    isDragging: false,\n    isCreateModalVisible: false,\n    isDocModalVisible: false,\n    notifications: []\n  },\n  dispatch: () => {},\n  setDragging: () => {},\n  toggleCreateModal: () => {},\n  toggleDocModal: () => {},\n  showNotification: () => {},\n  removeNotification: () => {}\n});\n\n// Custom hook for using the context\nexport const useUIContext = () => useContext(UIContext);\n\n// Provider component\ninterface UIProviderProps {\n  children: ReactNode;\n}\n\nexport const UIProvider: React.FC<UIProviderProps> = ({ children }) => {\n  const [state, dispatch] = useReducer(uiReducer, {\n    isDragging: false,\n    isCreateModalVisible: false,\n    isDocModalVisible: false,\n    notifications: []\n  });\n\n  // Drag state handling\n  const setDragging = useCallback((isDragging: boolean) => {\n    dispatch({ type: UI_ACTION_TYPES.SET_DRAGGING, payload: isDragging });\n  }, []);\n\n  // Modal toggling\n  const toggleCreateModal = useCallback((isVisible: boolean) => {\n    dispatch({ type: UI_ACTION_TYPES.TOGGLE_CREATE_MODAL, payload: isVisible });\n  }, []);\n\n  const toggleDocModal = useCallback((isVisible: boolean) => {\n    dispatch({ type: UI_ACTION_TYPES.TOGGLE_DOC_MODAL, payload: isVisible });\n  }, []);\n\n  // Notification handling\n  const showNotification = useCallback((message: string, type: typeof NOTIFICATION_TYPES.SUCCESS | typeof NOTIFICATION_TYPES.ERROR | typeof NOTIFICATION_TYPES.INFO | typeof NOTIFICATION_TYPES.WARNING) => {\n    dispatch({ type: UI_ACTION_TYPES.ADD_NOTIFICATION, payload: { message, type } });\n  }, []);\n\n  const removeNotification = useCallback((id: string) => {\n    dispatch({ type: UI_ACTION_TYPES.REMOVE_NOTIFICATION, payload: id });\n  }, []);\n\n  return (\n    <UIContext.Provider \n      value={{ \n        state, \n        dispatch,\n        setDragging,\n        toggleCreateModal,\n        toggleDocModal,\n        showNotification,\n        removeNotification\n      }}\n    >\n      {children}\n    </UIContext.Provider>\n  );\n}; "
  },
  {
    "path": "frontend/app/[locale]/knowledges/page.tsx",
    "content": "\"use client\";\n\nimport React, { useEffect } from \"react\";\nimport { motion } from \"framer-motion\";\n\nimport { useSetupFlow } from \"@/hooks/useSetupFlow\";\nimport { useDeployment } from \"@/components/providers/deploymentProvider\";\nimport log from \"@/lib/logger\";\nimport knowledgeBaseService from \"@/services/knowledgeBaseService\";\n\nimport DataConfig from \"./KnowledgeBaseConfiguration\";\n\n/**\n * KnowledgesContent - Main component for knowledge base configuration\n * Can be used in setup flow or as standalone page\n */\nexport default function KnowledgesContent() {\n  // Get user and deployment state from respective hooks\n  const { isSpeedMode } = useDeployment();\n\n  // Use custom hook for common setup flow logic\n  const {\n    pageVariants,\n    pageTransition,\n  } = useSetupFlow();\n\n  // Knowledge base specific initialization\n  useEffect(() => {\n    // Trigger knowledge base data acquisition when the page is initialized\n    window.dispatchEvent(\n      new CustomEvent(\"knowledgeBaseDataUpdated\", {\n        detail: { forceRefresh: true },\n      })\n    );\n\n    const loadKnowledgeBaseList = async () => {\n      try {\n        await knowledgeBaseService.getKnowledgeBases(true);\n      } catch (error) {\n        log.error(\"Failed to load knowledge base list:\", error);\n      }\n    };\n\n    loadKnowledgeBaseList();\n  }, [isSpeedMode]);\n\n  return (\n    <>\n      <div className=\"w-full h-full p-8\">\n        <motion.div\n          initial=\"initial\"\n          animate=\"in\"\n          exit=\"out\"\n          variants={pageVariants}\n          transition={pageTransition}\n          style={{ width: \"100%\", height: \"100%\" }}\n        >\n          <div className=\"w-full h-full flex items-center justify-center\">\n            <DataConfig isActive={true} />\n          </div>\n        </motion.div>\n      </div>\n    </>\n  );\n}\n"
  },
  {
    "path": "frontend/app/[locale]/layout.client.tsx",
    "content": "\"use client\";\n\nimport { ReactNode, useState } from \"react\";\nimport { usePathname } from \"next/navigation\";\nimport { Layout, Button, Spin } from \"antd\";\nimport { TopNavbar } from \"@/components/navigation/TopNavbar\";\nimport { SideNavigation } from \"@/components/navigation/SideNavigation\";\nimport { FooterLayout } from \"@/components/navigation/FooterLayout\";\nimport {\n  HEADER_CONFIG,\n  FOOTER_CONFIG,\n  SIDER_CONFIG,\n} from \"@/const/layoutConstants\";\nimport { AuthDialogs } from \"@/components/auth/AuthDialogs\";\nimport { useAuthenticationContext } from \"@/components/providers/AuthenticationProvider\";\nimport { ChevronLeft, ChevronRight } from \"lucide-react\";\nimport { useAuthorizationContext } from \"@/components/providers/AuthorizationProvider\";\nimport { useDeployment } from \"@/components/providers/deploymentProvider\";\nimport { getEffectiveRoutePath } from \"@/lib/auth\";\n\nconst { Header, Sider, Content, Footer } = Layout;\n\nexport function ClientLayout({ children }: { children: ReactNode }) {\n  const pathname = usePathname();\n  const { isAuthenticated } = useAuthenticationContext();\n  const { isAuthorized } = useAuthorizationContext();\n  const { isSpeedMode } = useDeployment();\n\n  // Check if current route is setup page\n  const isSetupPage = pathname?.includes(\"/setup\");\n\n  const isChatPage = pathname?.includes(\"/chat\");\n\n  // Home page does not require authorization\n  const isHomePage = getEffectiveRoutePath(pathname) === \"/\";\n\n  // Sidebar collapse state\n  const [collapsed, setCollapsed] = useState(false);\n\n  // Layout style calculations\n  const headerReservedHeight = parseInt(HEADER_CONFIG.RESERVED_HEIGHT);\n  const footerReservedHeight = parseInt(FOOTER_CONFIG.RESERVED_HEIGHT);\n\n  const layoutStyle: React.CSSProperties = {\n    height: \"100vh\",\n    width: \"100vw\",\n    overflow: \"hidden\",\n    backgroundColor: \"#fff\",\n  };\n\n  const siderStyle: React.CSSProperties = {\n    textAlign: \"start\",\n    display: \"flex\",\n    flexDirection: \"column\",\n    alignItems: \"stretch\",\n    justifyContent: \"flex-start\",\n    position: \"fixed\",\n    top: headerReservedHeight,\n    bottom: isSetupPage ? 0 : footerReservedHeight,\n    left: 0,\n    backgroundColor: \"#fff\",\n    overflow: \"visible\",\n    zIndex: 998,\n  };\n\n  const siderInnerStyle: React.CSSProperties = {\n    height: \"100%\",\n    overflowY: \"auto\",\n    overflowX: \"hidden\",\n    WebkitOverflowScrolling: \"touch\",\n    display: \"flex\",\n    flexDirection: \"column\",\n  };\n\n  const headerStyle: React.CSSProperties = {\n    textAlign: \"center\",\n    height: headerReservedHeight,\n    backgroundColor: \"#fff\",\n    lineHeight: \"64px\",\n    paddingInline: 0,\n    flexShrink: 0,\n  };\n\n  const footerStyle: React.CSSProperties = {\n    textAlign: \"center\",\n    height: footerReservedHeight,\n    lineHeight: footerReservedHeight,\n    padding: 0,\n    flexShrink: 0,\n    backgroundColor: \"#fff\",\n  };\n\n  const contentStyle: React.CSSProperties = {\n    height: \"100%\",\n    overflowY: \"auto\",\n    overflowX: \"hidden\",\n    position: \"relative\",\n    marginLeft: collapsed\n      ? `${SIDER_CONFIG.COLLAPSED_WIDTH}px`\n      : `${SIDER_CONFIG.EXPANDED_WIDTH}px`,\n    backgroundColor: \"#fff\",\n  };\n\n  return (\n    <Layout style={layoutStyle}>\n      <Header style={headerStyle}>\n        <TopNavbar isChatPage={isChatPage}/>\n      </Header>\n\n      <Layout>\n        <Sider\n          style={siderStyle}\n          width={SIDER_CONFIG.EXPANDED_WIDTH}\n          collapsed={collapsed}\n          onCollapse={setCollapsed}\n          trigger={null}\n          breakpoint=\"lg\"\n          collapsedWidth={SIDER_CONFIG.COLLAPSED_WIDTH}\n          className=\"dark:bg-slate-900/95 border-r border-slate-200 dark:border-slate-700 backdrop-blur-sm shadow-sm\"\n        >\n          <div style={siderInnerStyle}>\n            <SideNavigation collapsed={collapsed} />\n          </div>\n          <Button\n            type=\"primary\"\n            shape=\"circle\"\n            size=\"small\"\n            onClick={() => setCollapsed(!collapsed)}\n            style={{\n              position: \"absolute\",\n              top: \"50%\",\n              transform: \"translateY(-50%)\",\n              right: \"-12px\",\n              transition: \"right 0.2s ease, left 0.2s ease\",\n              zIndex: 999,\n            }}\n            icon={\n              collapsed ? (\n                <ChevronRight className=\"w-3 h-3\" />\n              ) : (\n                <ChevronLeft className=\"w-3 h-3\" />\n              )\n            }\n          />\n        </Sider>\n\n        {/* Don't render children until authorization is complete (except home page) */}\n        <Content style={contentStyle}>\n          {isHomePage || isAuthorized ? (\n            children\n          ) : (\n            <div className=\"flex items-center justify-center h-full w-full\">\n              <Spin/>\n            </div>\n          )}\n        </Content>\n      </Layout>\n\n      {/* Conditionally render footer */}\n      {!isSetupPage && (\n        <Footer style={footerStyle}>\n          <FooterLayout />\n        </Footer>\n      )}\n\n      {/* Global authentication dialogs */}\n      {!isSpeedMode && (\n        <>\n          <AuthDialogs />\n        </>\n      )}\n    </Layout>\n  );\n}\n"
  },
  {
    "path": "frontend/app/[locale]/layout.tsx",
    "content": "import type { Metadata } from \"next\";\nimport { Inter } from \"next/font/google\";\nimport React, { ReactNode } from \"react\";\nimport { RootProvider } from \"@/components/providers/rootProvider\";\nimport { DeploymentProvider } from \"@/components/providers/deploymentProvider\";\nimport { ThemeProvider as NextThemesProvider } from \"next-themes\";\nimport { ClientLayout } from \"./layout.client\";\nimport I18nProviderWrapper from \"@/components/providers/I18nProviderWrapper\";\n\nimport \"@/styles/globals.css\";\nimport \"@/styles/react-markdown.css\";\nimport \"github-markdown-css/github-markdown.css\";\nimport \"katex/dist/katex.min.css\";\n\nconst inter = Inter({ subsets: [\"latin\"] });\n\nexport async function generateMetadata({\n  params,\n}: {\n  params: Promise<{ locale?: string }>;\n}): Promise<Metadata> {\n  // Simple metadata for now - can be enhanced later with i18n\n  return {\n    title: \"Nexent - AI Agent Platform\",\n    description:\n      \"A powerful AI agent platform for intelligent conversations and automation\",\n    icons: {\n      icon: \"/favicon.png\",\n      shortcut: \"/favicon.png\",\n      apple: \"/favicon.png\",\n    },\n  };\n}\n\nexport default async function RootLayout({\n  children,\n  params,\n}: {\n  children: ReactNode;\n  params: Promise<{ locale?: string }>;\n}) {\n  const { locale } = await params;\n\n  return (\n    <html lang=\"zh\" suppressHydrationWarning>\n      <body className={inter.className}>\n        <NextThemesProvider\n          attribute=\"class\"\n          defaultTheme=\"light\"\n          enableSystem\n          disableTransitionOnChange\n        >\n          <I18nProviderWrapper locale={locale}>\n            <DeploymentProvider>\n              <RootProvider>\n                <ClientLayout>{children}</ClientLayout>\n              </RootProvider>\n            </DeploymentProvider>\n          </I18nProviderWrapper>\n        </NextThemesProvider>\n      </body>\n    </html>\n  );\n}\n"
  },
  {
    "path": "frontend/app/[locale]/market/MarketContent.css",
    "content": "/* Custom styles for MarketContent component */\n\n/* Hide scrollbars for featured row with subtle hover reveal */\n.noScrollbar {\n  /* Modern browsers: hide scrollbar but keep functionality */\n  scrollbar-width: thin;\n  scrollbar-color: transparent transparent;\n  -ms-overflow-style: none; /* IE/Edge */\n}\n\n.noScrollbar::-webkit-scrollbar {\n  height: 4px;\n}\n\n.noScrollbar::-webkit-scrollbar-track {\n  background: transparent;\n}\n\n.noScrollbar::-webkit-scrollbar-thumb {\n  background-color: transparent;\n  border-radius: 2px;\n  transition: background-color 0.2s ease;\n}\n\n/* Show subtle scrollbar on hover for better UX */\n@media (hover: hover) {\n  .noScrollbar:hover::-webkit-scrollbar-thumb {\n    background-color: rgba(0, 0, 0, 0.2);\n  }\n\n  .noScrollbar:hover {\n    scrollbar-color: rgba(0, 0, 0, 0.2) transparent;\n  }\n}\n"
  },
  {
    "path": "frontend/app/[locale]/market/components/AgentMarketCard.tsx",
    "content": "\"use client\";\n\nimport React from \"react\";\nimport { motion } from \"framer-motion\";\nimport { Download, Tag, Wrench } from \"lucide-react\";\nimport { MarketAgentListItem } from \"@/types/market\";\nimport { useTranslation } from \"react-i18next\";\nimport { getGenericLabel } from \"@/lib/agentLabelMapper\";\nimport { getCategoryIcon } from \"@/const/marketConfig\";\n\ninterface AgentMarketCardProps {\n  agent: MarketAgentListItem;\n  onDownload: (agent: MarketAgentListItem) => void;\n  onViewDetails: (agent: MarketAgentListItem) => void;\n  variant?: \"featured\" | \"default\";\n}\n\n/**\n * Market agent card component\n * Displays agent information in market view\n */\nexport function AgentMarketCard({\n  agent,\n  onDownload,\n  onViewDetails,\n  variant = \"default\",\n}: AgentMarketCardProps) {\n  const { t, i18n } = useTranslation(\"common\");\n  const isZh = i18n.language === \"zh\" || i18n.language === \"zh-CN\";\n\n  const handleDownload = (e: React.MouseEvent) => {\n    e.stopPropagation();\n    onDownload(agent);\n  };\n\n  const handleCardClick = () => {\n    onViewDetails(agent);\n  };\n\n  // Get category icon: prefer API icon, then fallback to default mapping by name\n  const categoryIcon = agent.category\n    ? agent.category.icon || getCategoryIcon(agent.category.name)\n    : \"📦\";\n\n\n  return (\n    <motion.div\n      whileHover={{\n        y: -4,\n        boxShadow: \"0 10px 15px -3px rgba(0,0,0,0.1), 0 4px 6px -2px rgba(0,0,0,0.05)\"\n      }}\n      transition={{ type: \"spring\", stiffness: 300, damping: 25 }}\n      onClick={handleCardClick}\n      className=\"group z-10 hover:z-0 h-full min-h-[320px] rounded-lg border transition-all duration-300 overflow-visible flex flex-col cursor-pointer relative bg-white dark:bg-slate-800 border-slate-200 dark:border-slate-700 hover:border-purple-300 dark:hover:border-purple-600 hover:shadow-lg\"\n    >\n      {variant === \"featured\" && (\n        // Full-card subtle purple gradient background overlay\n        <div\n          aria-hidden\n          className=\"absolute inset-0 rounded-lg pointer-events-none\"\n          style={{\n            background:\n              \"linear-gradient(180deg, rgba(139,92,246,0.06), rgba(99,102,241,0.04))\",\n            zIndex: 0,\n          }}\n        />\n      )}\n      {/* Card header with category */}\n      <div className=\"px-4 pt-4 pb-3 border-b border-slate-100 dark:border-slate-700\">\n        <div className=\"flex items-center justify-between mb-2\">\n          <div className=\"flex items-center gap-2\">\n            <span className=\"text-2xl\">\n              {categoryIcon}\n            </span>\n            <span className=\"text-xs font-medium text-purple-600 dark:text-purple-400\">\n              {agent.category\n                ? isZh\n                  ? agent.category.display_name_zh\n                  : agent.category.display_name\n                : t(\"market.category.other\", \"Other\")}\n            </span>\n          </div>\n          <div className=\"flex items-center gap-1 text-xs text-slate-500 dark:text-slate-400\">\n            <Download className=\"h-3.5 w-3.5\" />\n            <span>{agent.download_count}</span>\n          </div>\n        </div>\n\n        <h3 className=\"text-lg font-semibold text-slate-800 dark:text-slate-100 line-clamp-1 group-hover:text-purple-600 dark:group-hover:text-purple-400 transition-colors\">\n          {agent.display_name}\n        </h3>\n        <div className=\"h-5 flex items-center\">\n          {agent.author ? (\n            <p className=\"text-xs text-slate-500 dark:text-slate-400\">\n              {t(\"market.by\", { defaultValue: \"By {{author}}\", author: agent.author })}\n            </p>\n          ) : null}\n        </div>\n      </div>\n\n      {/* Card body */}\n      <div className=\"flex-1 px-4 py-3 flex flex-col gap-3 relative z-10 pb-20 min-h-[120px]\">\n        {/* Description */}\n        <p className=\"text-sm text-slate-600 dark:text-slate-300 line-clamp-3 flex-1\">\n          {agent.description}\n        </p>\n\n        {/* Tags - always show container for consistent height */}\n        <div className=\"min-h-[24px]\">\n          {agent.tags && agent.tags.length > 0 && (\n            <div className=\"flex flex-wrap gap-1.5 max-h-6 overflow-hidden\">\n              {agent.tags.slice(0, 3).map((tag) => (\n                <span\n                  key={tag.id}\n                  className=\"inline-flex items-center gap-1 px-2 py-0.5 rounded-full text-xs bg-slate-100 dark:bg-slate-700 text-slate-600 dark:text-slate-300\"\n                >\n                  <Tag className=\"h-3 w-3\" />\n                  {getGenericLabel(tag.display_name, t)}\n                </span>\n              ))}\n              {agent.tags.length > 3 && (\n                <span className=\"inline-flex items-center px-2 py-0.5 rounded-full text-xs bg-slate-100 dark:bg-slate-700 text-slate-600 dark:text-slate-300\">\n                  +{agent.tags.length - 3}\n                </span>\n              )}\n            </div>\n          )}\n        </div>\n\n        {/* Tool count */}\n        <div className=\"flex items-center gap-1 text-xs text-slate-500 dark:text-slate-400\">\n          <Wrench className=\"h-3.5 w-3.5\" />\n          <span>\n            {agent.tool_count || 0} {t(\"market.tools\", \"tools\")}\n          </span>\n        </div>\n      </div>\n\n      {/* Card footer - pinned to bottom to keep all cards aligned */}\n      <div className=\"absolute left-0 right-0 bottom-0 px-4 py-3 border-t border-slate-100 dark:border-slate-700 bg-transparent z-10\">\n        <button\n          onClick={handleDownload}\n          className=\"w-full px-4 py-2 rounded-md bg-gradient-to-r from-purple-500 to-indigo-500 hover:from-purple-600 hover:to-indigo-600 text-white text-sm font-medium transition-all duration-300 flex items-center justify-center gap-2\"\n        >\n          <Download className=\"h-4 w-4\" />\n          {t(\"market.download\", \"Download\")}\n        </button>\n      </div>\n    </motion.div>\n  );\n}\n\n"
  },
  {
    "path": "frontend/app/[locale]/market/components/MarketAgentDetailModal.tsx",
    "content": "\"use client\";\n\nimport React from \"react\";\nimport { Modal, Tabs, Tag, Descriptions, Empty } from \"antd\";\nimport { useTranslation } from \"react-i18next\";\nimport {\n  Bot,\n  Settings,\n  FileText,\n  Wrench,\n  Server,\n  Sparkles,\n} from \"lucide-react\";\nimport { MarketAgentDetail } from \"@/types/market\";\nimport { getToolSourceLabel, getGenericLabel } from \"@/lib/agentLabelMapper\";\nimport { getCategoryIcon } from \"@/const/marketConfig\";\n\ninterface MarketAgentDetailModalProps {\n  visible: boolean;\n  onClose: () => void;\n  agentDetails: MarketAgentDetail | null;\n  loading: boolean;\n}\n\n/**\n * Market Agent Detail Modal\n * Displays complete agent information from the marketplace\n */\nexport default function MarketAgentDetailModal({\n  visible,\n  onClose,\n  agentDetails,\n  loading,\n}: MarketAgentDetailModalProps) {\n  const { t, i18n } = useTranslation(\"common\");\n  const isZh = i18n.language === \"zh\" || i18n.language === \"zh-CN\";\n\n  if (!agentDetails && !loading) {\n    return null;\n  }\n\n  /**\n   * Check if field value needs configuration\n   * Returns true if value is \"<TO_CONFIG>\"\n   */\n  const needsConfig = (value: any): boolean => {\n    return typeof value === \"string\" && value.trim() === \"<TO_CONFIG>\";\n  };\n\n  /**\n   * Render field value with config tag if needed\n   */\n  const renderFieldValue = (value: any): React.ReactNode => {\n    if (needsConfig(value)) {\n      return (\n        <Tag color=\"orange\" className=\"inline-flex items-center gap-1\">\n          <span className=\"whitespace-nowrap\">\n            {t(\"common.toBeConfigured\", \"To Be Configured\")}\n          </span>\n        </Tag>\n      );\n    }\n    return value || \"-\";\n  };\n\n\n  const items = [\n    {\n      key: \"basic\",\n      label: (\n        <span className=\"flex items-center gap-2\">\n          <Bot className=\"h-4 w-4\" />\n          {t(\"market.detail.tabs.basic\", \"Basic Info\")}\n        </span>\n      ),\n      children: (\n        <div className=\"space-y-4\">\n          <Descriptions\n            column={1}\n            bordered\n            labelStyle={{ fontWeight: 600, whiteSpace: \"nowrap\" }}\n          >\n            <Descriptions.Item label={t(\"market.detail.name\", \"Name\")}>\n              {agentDetails?.name || \"-\"}\n            </Descriptions.Item>\n            <Descriptions.Item\n              label={t(\"market.detail.displayName\", \"Display Name\")}\n            >\n              {agentDetails?.display_name || \"-\"}\n            </Descriptions.Item>\n            <Descriptions.Item\n              label={t(\"market.detail.author\", \"Author\")}\n            >\n              {agentDetails?.author || \"-\"}\n            </Descriptions.Item>\n            <Descriptions.Item\n              label={t(\"market.detail.description\", \"Description\")}\n            >\n              {renderFieldValue(agentDetails?.description)}\n            </Descriptions.Item>\n            <Descriptions.Item\n              label={t(\"market.detail.category\", \"Category\")}\n            >\n              {agentDetails?.category ? (\n                <Tag color=\"purple\" className=\"inline-flex items-center gap-1\">\n                  <span>\n                    {agentDetails.category.icon ||\n                      getCategoryIcon(agentDetails.category.name)}\n                  </span>\n                  <span>\n                    {isZh\n                      ? agentDetails.category.display_name_zh\n                      : agentDetails.category.display_name}\n                  </span>\n                </Tag>\n              ) : (\n                <Tag color=\"default\" className=\"inline-flex items-center gap-1\">\n                  <span>📦</span>\n                  <span>{isZh ? \"其他\" : \"Other\"}</span>\n                </Tag>\n              )}\n            </Descriptions.Item>\n            <Descriptions.Item label={t(\"market.detail.tags\", \"Tags\")}>\n              {agentDetails?.tags && agentDetails.tags.length > 0 ? (\n                <div className=\"flex flex-wrap gap-1\">\n                  {agentDetails.tags.map((tag) => (\n                    <Tag key={tag.id} color=\"blue\">\n                      {getGenericLabel(tag.display_name, t)}\n                    </Tag>\n                  ))}\n                </div>\n              ) : (\n                \"-\"\n              )}\n            </Descriptions.Item>\n            <Descriptions.Item\n              label={t(\"market.detail.downloadCount\", \"Download Count\")}\n            >\n              {agentDetails?.download_count || 0}\n            </Descriptions.Item>\n            <Descriptions.Item\n              label={t(\"market.detail.createdAt\", \"Created At\")}\n            >\n              {agentDetails?.created_at\n                ? new Date(agentDetails.created_at).toLocaleString()\n                : \"-\"}\n            </Descriptions.Item>\n            <Descriptions.Item\n              label={t(\"market.detail.updatedAt\", \"Updated At\")}\n            >\n              {agentDetails?.updated_at\n                ? new Date(agentDetails.updated_at).toLocaleString()\n                : \"-\"}\n            </Descriptions.Item>\n          </Descriptions>\n        </div>\n      ),\n    },\n    {\n      key: \"model\",\n      label: (\n        <span className=\"flex items-center gap-2\">\n          <Settings className=\"h-4 w-4\" />\n          {t(\"market.detail.tabs.model\", \"Model Config\")}\n        </span>\n      ),\n      children: (\n        <div className=\"space-y-4\">\n          <Descriptions\n            column={1}\n            bordered\n            labelStyle={{ fontWeight: 600, whiteSpace: \"nowrap\" }}\n          >\n            <Descriptions.Item\n              label={t(\"market.detail.maxSteps\", \"Max Steps\")}\n            >\n              {agentDetails?.max_steps || 0}\n            </Descriptions.Item>\n            <Descriptions.Item\n              label={t(\"market.detail.recommendedModel\", \"Recommended Model\")}\n            >\n              {renderFieldValue(agentDetails?.model_name)}\n            </Descriptions.Item>\n            <Descriptions.Item\n              label={t(\n                \"market.detail.provideRunSummary\",\n                \"Provide Run Summary\"\n              )}\n            >\n              {agentDetails?.provide_run_summary ? (\n                <Tag color=\"green\">{t(\"common.yes\", \"Yes\")}</Tag>\n              ) : (\n                <Tag color=\"red\">{t(\"common.no\", \"No\")}</Tag>\n              )}\n            </Descriptions.Item>\n          </Descriptions>\n        </div>\n      ),\n    },\n    {\n      key: \"prompts\",\n      label: (\n        <span className=\"flex items-center gap-2\">\n          <FileText className=\"h-4 w-4\" />\n          {t(\"market.detail.tabs.prompts\", \"Prompts\")}\n        </span>\n      ),\n      children: (\n        <div className=\"space-y-4\">\n          <div>\n            <h4 className=\"font-semibold mb-2 flex items-center gap-2\">\n              <Sparkles className=\"h-4 w-4\" />\n              {t(\"market.detail.dutyPrompt\", \"Duty Prompt\")}\n            </h4>\n            <div className=\"p-3 bg-slate-50 dark:bg-slate-800 rounded-lg border border-slate-200 dark:border-slate-700\">\n              {needsConfig(agentDetails?.duty_prompt) ? (\n                renderFieldValue(agentDetails?.duty_prompt)\n              ) : (\n                <pre className=\"whitespace-pre-wrap text-sm\">\n                  {agentDetails?.duty_prompt || t(\"common.none\", \"None\")}\n                </pre>\n              )}\n            </div>\n          </div>\n          <div>\n            <h4 className=\"font-semibold mb-2 flex items-center gap-2\">\n              <FileText className=\"h-4 w-4\" />\n              {t(\"market.detail.constraintPrompt\", \"Constraint Prompt\")}\n            </h4>\n            <div className=\"p-3 bg-slate-50 dark:bg-slate-800 rounded-lg border border-slate-200 dark:border-slate-700\">\n              {needsConfig(agentDetails?.constraint_prompt) ? (\n                renderFieldValue(agentDetails?.constraint_prompt)\n              ) : (\n                <pre className=\"whitespace-pre-wrap text-sm\">\n                  {agentDetails?.constraint_prompt || t(\"common.none\", \"None\")}\n                </pre>\n              )}\n            </div>\n          </div>\n          <div>\n            <h4 className=\"font-semibold mb-2 flex items-center gap-2\">\n              <FileText className=\"h-4 w-4\" />\n              {t(\"market.detail.fewShotsPrompt\", \"Few-Shots Prompt\")}\n            </h4>\n            <div className=\"p-3 bg-slate-50 dark:bg-slate-800 rounded-lg border border-slate-200 dark:border-slate-700\">\n              {needsConfig(agentDetails?.few_shots_prompt) ? (\n                renderFieldValue(agentDetails?.few_shots_prompt)\n              ) : (\n                <pre className=\"whitespace-pre-wrap text-sm\">\n                  {agentDetails?.few_shots_prompt || t(\"common.none\", \"None\")}\n                </pre>\n              )}\n            </div>\n          </div>\n          <div>\n            <h4 className=\"font-semibold mb-2 flex items-center gap-2\">\n              <FileText className=\"h-4 w-4\" />\n              {t(\"market.detail.businessDescription\", \"Business Description\")}\n            </h4>\n            <div className=\"p-3 bg-slate-50 dark:bg-slate-800 rounded-lg border border-slate-200 dark:border-slate-700\">\n              {needsConfig(agentDetails?.business_description) ? (\n                renderFieldValue(agentDetails?.business_description)\n              ) : (\n                <pre className=\"whitespace-pre-wrap text-sm\">\n                  {agentDetails?.business_description || t(\"common.none\", \"None\")}\n                </pre>\n              )}\n            </div>\n          </div>\n        </div>\n      ),\n    },\n    {\n      key: \"tools\",\n      label: (\n        <span className=\"flex items-center gap-2\">\n          <Wrench className=\"h-4 w-4\" />\n          {t(\"market.detail.tabs.tools\", \"Tools\")} (\n          {agentDetails?.tools?.length || 0})\n        </span>\n      ),\n      children: (\n        <div className=\"space-y-3\">\n          {agentDetails?.tools && agentDetails.tools.length > 0 ? (\n            agentDetails.tools.map((tool) => (\n              <div\n                key={tool.id}\n                className=\"p-4 bg-slate-50 dark:bg-slate-800 rounded-lg border border-slate-200 dark:border-slate-700\"\n              >\n                <div className=\"flex items-start justify-between mb-2\">\n                  <div className=\"flex-1\">\n                    <h4 className=\"font-semibold text-base\">{tool.name}</h4>\n                    <div className=\"text-sm text-slate-600 dark:text-slate-300 mt-1\">\n                      {needsConfig(tool.description) ? (\n                        renderFieldValue(tool.description)\n                      ) : (\n                        tool.description ||\n                        t(\"market.detail.toolDescription\", \"No description\")\n                      )}\n                    </div>\n                  </div>\n                </div>\n                <div className=\"flex gap-2 flex-wrap\">\n                  {tool.source && (\n                    <Tag color=\"blue\">\n                      {t(\"common.source\", \"Source\")}: {getToolSourceLabel(tool.source, t)}\n                    </Tag>\n                  )}\n                  {tool.usage && (\n                    <Tag color=\"green\">\n                      {t(\"common.usage\", \"Usage\")}: {tool.usage}\n                    </Tag>\n                  )}\n                  {tool.output_type && (\n                    <Tag color=\"purple\">\n                      {t(\"common.output\", \"Output\")}: {tool.output_type}\n                    </Tag>\n                  )}\n                </div>\n              </div>\n            ))\n          ) : (\n            <Empty\n              description={t(\"market.detail.noTools\", \"No tools configured\")}\n              image={Empty.PRESENTED_IMAGE_SIMPLE}\n            />\n          )}\n        </div>\n      ),\n    },\n    {\n      key: \"mcpServers\",\n      label: (\n        <span className=\"flex items-center gap-2\">\n          <Server className=\"h-4 w-4\" />\n          {t(\"market.detail.tabs.mcpServers\", \"MCP Servers\")} (\n          {agentDetails?.mcp_servers?.length || 0})\n        </span>\n      ),\n      children: (\n        <div className=\"space-y-3\">\n          {agentDetails?.mcp_servers && agentDetails.mcp_servers.length > 0 ? (\n            agentDetails.mcp_servers.map((server) => (\n              <div\n                key={server.id}\n                className=\"p-4 bg-slate-50 dark:bg-slate-800 rounded-lg border border-slate-200 dark:border-slate-700\"\n              >\n                <div className=\"space-y-2\">\n                  <div className=\"flex items-center gap-2\">\n                    <Server className=\"h-4 w-4 text-purple-500\" />\n                    <span className=\"font-semibold\">\n                      {t(\"market.detail.mcpServerName\", \"Server Name\")}:\n                    </span>\n                    <span className=\"text-slate-600 dark:text-slate-300\">\n                      {renderFieldValue(server.mcp_server_name)}\n                    </span>\n                  </div>\n                  <div className=\"flex items-center gap-2\">\n                    <span className=\"font-semibold\">\n                      {t(\"market.detail.mcpServerUrl\", \"Server URL\")}:\n                    </span>\n                    <div className=\"text-slate-600 dark:text-slate-300 break-all\">\n                      {renderFieldValue(server.mcp_url)}\n                    </div>\n                  </div>\n                </div>\n              </div>\n            ))\n          ) : (\n            <Empty\n              description={t(\n                \"market.detail.noMcpServers\",\n                \"No MCP servers configured\"\n              )}\n              image={Empty.PRESENTED_IMAGE_SIMPLE}\n            />\n          )}\n        </div>\n      ),\n    },\n  ];\n\n  return (\n    <Modal\n      title={\n        <div className=\"flex items-center gap-3\">\n          <div className=\"w-10 h-10 rounded-full bg-gradient-to-br from-purple-500 to-indigo-500 flex items-center justify-center\">\n            <Bot className=\"h-6 w-6 text-white\" />\n          </div>\n          <div>\n            <div className=\"text-lg font-semibold\">\n              {agentDetails?.display_name ||\n                agentDetails?.name ||\n                t(\"market.detail.title\", \"Agent Details\")}\n            </div>\n            <div className=\"text-xs text-slate-500 dark:text-slate-400 font-normal\">\n              {t(\"market.detail.subtitle\", \"Complete information and configuration\")}\n            </div>\n          </div>\n        </div>\n      }\n      open={visible}\n      onCancel={onClose}\n      footer={null}\n      width={800}\n      style={{ top: 20, maxHeight: \"calc(100vh - 40px)\" }}\n      styles={{ body: { maxHeight: \"calc(100vh - 180px)\", overflowY: \"auto\" } }}\n      className=\"market-agent-detail-modal\"\n    >\n      <div className=\"mt-4\">\n        {loading ? (\n          <div className=\"flex items-center justify-center py-12\">\n            <div className=\"animate-spin rounded-full h-8 w-8 border-b-2 border-purple-500\"></div>\n          </div>\n        ) : (\n          <Tabs items={items} defaultActiveKey=\"basic\" />\n        )}\n      </div>\n    </Modal>\n  );\n}\n\n"
  },
  {
    "path": "frontend/app/[locale]/market/components/MarketErrorState.tsx",
    "content": "\"use client\";\n\nimport React from \"react\";\nimport { Empty } from \"antd\";\nimport { useTranslation } from \"react-i18next\";\nimport { \n  ServerCrash, \n  WifiOff, \n  Clock, \n  AlertTriangle \n} from \"lucide-react\";\n\ninterface MarketErrorStateProps {\n  type: \"timeout\" | \"network\" | \"server\" | \"unknown\";\n}\n\n/**\n * Market Error State Component\n * Displays error states for market API failures\n * Style matches MarketContent design\n */\nexport default function MarketErrorState({ type }: MarketErrorStateProps) {\n  const { t } = useTranslation(\"common\");\n\n  const errorConfig = {\n    timeout: {\n      icon: Clock,\n      title: t(\"market.error.timeout.title\", \"Request Timeout\"),\n      description: t(\n        \"market.error.timeout.description\",\n        \"The market server is taking too long to respond. Please check your network connection and try again.\"\n      ),\n    },\n    network: {\n      icon: WifiOff,\n      title: t(\"market.error.network.title\", \"Network Error\"),\n      description: t(\n        \"market.error.network.description\",\n        \"Unable to connect to the market server. Please check your internet connection.\"\n      ),\n    },\n    server: {\n      icon: ServerCrash,\n      title: t(\"market.error.server.title\", \"Server Error\"),\n      description: t(\n        \"market.error.server.description\",\n        \"The market server encountered an error. Please try again later.\"\n      ),\n    },\n    unknown: {\n      icon: AlertTriangle,\n      title: t(\"market.error.unknown.title\", \"Something Went Wrong\"),\n      description: t(\n        \"market.error.unknown.description\",\n        \"An unexpected error occurred. Please try again.\"\n      ),\n    },\n  };\n\n  const config = errorConfig[type];\n  const Icon = config.icon;\n\n  return (\n    <div className=\"flex items-center justify-center py-16\">\n      <div className=\"text-center max-w-2xl\">\n        {/* Icon and Title Row */}\n        <div className=\"flex items-center justify-center gap-3 mb-4\">\n          <div className=\"w-12 h-12 rounded-full bg-slate-100 dark:bg-slate-800 flex items-center justify-center flex-shrink-0\">\n            <Icon className=\"h-6 w-6 text-slate-400 dark:text-slate-500\" />\n          </div>\n          <div className=\"text-lg font-medium text-slate-700 dark:text-slate-300\">\n            {config.title}\n          </div>\n        </div>\n        \n        {/* Description */}\n        <div className=\"text-sm text-slate-500 dark:text-slate-400 px-8\">\n          {config.description}\n        </div>\n      </div>\n    </div>\n  );\n}\n\n"
  },
  {
    "path": "frontend/app/[locale]/market/page.tsx",
    "content": "\"use client\";\n\nimport React, { useState, useEffect, useRef } from \"react\";\nimport { useRouter } from \"next/navigation\";\nimport { motion } from \"framer-motion\";\nimport { useTranslation } from \"react-i18next\";\nimport { ShoppingBag, Search, RefreshCw, ChevronLeft, ChevronRight } from \"lucide-react\";\nimport { Tabs, Input, Spin, Empty, Pagination, App } from \"antd\";\nimport log from \"@/lib/logger\";\n\nimport { useSetupFlow } from \"@/hooks/useSetupFlow\";\nimport {\n  MarketAgentListItem,\n  MarketCategory,\n  MarketAgentListParams,\n  MarketAgentDetail,\n} from \"@/types/market\";\nimport marketService, { MarketApiError } from \"@/services/marketService\";\nimport { AgentMarketCard } from \"./components/AgentMarketCard\";\nimport MarketAgentDetailModal from \"./components/MarketAgentDetailModal\";\nimport AgentImportWizard from \"@/components/agent/AgentImportWizard\";\nimport { ImportAgentData } from \"@/hooks/useAgentImport\";\nimport MarketErrorState from \"./components/MarketErrorState\";\nimport \"./MarketContent.css\";\n\n/**\n * MarketContent - Agent marketplace page\n * Browse and download pre-built agents from the marketplace\n */\nexport default function MarketContent() {\n  const router = useRouter();\n  const { t, i18n } = useTranslation(\"common\");\n  const { message } = App.useApp();\n  const isZh = i18n.language === \"zh\" || i18n.language === \"zh-CN\";\n\n  // Use custom hook for common setup flow logic\n  const { pageVariants, pageTransition } = useSetupFlow();\n\n  // State management\n  const [categories, setCategories] = useState<MarketCategory[]>([]);\n  const [agents, setAgents] = useState<MarketAgentListItem[]>([]);\n  const [featuredItems, setFeaturedItems] = useState<MarketAgentListItem[]>([]);\n  const [isLoadingCategories, setIsLoadingCategories] = useState(true);\n  const [isLoadingAgents, setIsLoadingAgents] = useState(false);\n  const [currentCategory, setCurrentCategory] = useState<string>(\"all\");\n  const [searchKeyword, setSearchKeyword] = useState(\"\");\n  const [currentPage, setCurrentPage] = useState(1);\n  const [pageSize] = useState(20);\n  const [totalAgents, setTotalAgents] = useState(0);\n  const [errorType, setErrorType] = useState<\n    \"timeout\" | \"network\" | \"server\" | \"unknown\" | null\n  >(null);\n\n  // Detail modal state\n  const [detailModalVisible, setDetailModalVisible] = useState(false);\n  const [selectedAgent, setSelectedAgent] = useState<MarketAgentDetail | null>(\n    null\n  );\n  const [isLoadingDetail, setIsLoadingDetail] = useState(false);\n\n\n  // Install modal state\n  const [installModalVisible, setInstallModalVisible] = useState(false);\n  const [installAgent, setInstallAgent] = useState<MarketAgentDetail | null>(\n    null\n  );\n\n  // Load categories and initial agents on mount\n  useEffect(() => {\n    loadCategories();\n    loadAgents(); // Auto-refresh on page load\n  }, []);\n\n  // Refs and state for featured card width calculation\n  const contentRef = useRef<HTMLDivElement | null>(null);\n  const featuredRowRef = useRef<HTMLDivElement | null>(null);\n  const [featuredCardWidth, setFeaturedCardWidth] = useState<number | null>(null);\n\n  // Calculate featured card width so it matches grid column width (accounting for gaps)\n  useEffect(() => {\n    const calc = () => {\n      const container = contentRef.current;\n      if (!container) return;\n      const containerWidth = container.clientWidth;\n      const w = window.innerWidth;\n      let columns = 4;\n      if (w < 768) columns = 1;\n      else if (w < 1024) columns = 2;\n      else if (w < 1280) columns = 3;\n      else ;\n      const gap = 16; // tailwind gap-4 == 16px\n      const totalGap = gap * (columns - 1);\n      const cardW = Math.floor((containerWidth - totalGap) / columns);\n      setFeaturedCardWidth(cardW);\n    };\n    calc();\n    window.addEventListener(\"resize\", calc);\n    return () => window.removeEventListener(\"resize\", calc);\n  }, [featuredItems]);\n\n  // Load agents when category, page, or search changes (but not on initial mount)\n  useEffect(() => {\n    loadAgents();\n  }, [currentCategory, currentPage, searchKeyword]);\n\n  /**\n   * Load categories from market\n   */\n  const loadCategories = async () => {\n    setIsLoadingCategories(true);\n    setErrorType(null);\n    try {\n      const data = await marketService.fetchMarketCategories();\n      setCategories(data);\n    } catch (error) {\n      log.error(\"Failed to load market categories:\", error);\n\n      if (error instanceof MarketApiError) {\n        setErrorType(error.type);\n      } else {\n        setErrorType(\"unknown\");\n      }\n    } finally {\n      setIsLoadingCategories(false);\n    }\n  };\n\n  /**\n   * Load agents from market\n   */\n  const loadAgents = async () => {\n    setIsLoadingAgents(true);\n    setErrorType(null);\n    try {\n      const params: MarketAgentListParams = {\n        page: currentPage,\n        page_size: pageSize,\n        lang: isZh ? \"zh\" : \"en\",\n      };\n\n      if (currentCategory !== \"all\") {\n        params.category = currentCategory;\n      }\n\n      if (searchKeyword.trim()) {\n        params.search = searchKeyword.trim();\n      }\n\n      // Backend returns all items in pagination, with is_featured flag\n      const data = await marketService.fetchMarketAgentList(params);\n      const allItems = data.items || [];\n\n      // Separate featured and regular items\n      const featured = allItems.filter((a) => a.is_featured);\n      const items = allItems.filter((a) => !a.is_featured);\n\n      setFeaturedItems(featured);\n      setAgents(items);\n      // Use pagination total as is - it represents total items across both featured and regular\n      setTotalAgents(data.pagination?.total || 0);\n    } catch (error) {\n      log.error(\"Failed to load market agents:\", error);\n\n      if (error instanceof MarketApiError) {\n        setErrorType(error.type);\n      } else {\n        setErrorType(\"unknown\");\n      }\n\n      setAgents([]);\n      setTotalAgents(0);\n    } finally {\n      setIsLoadingAgents(false);\n    }\n  };\n\n  /**\n   * Handle category tab change\n   */\n  const handleCategoryChange = (key: string) => {\n    setCurrentCategory(key);\n    setCurrentPage(1);\n  };\n\n  /**\n   * Handle search\n   */\n  const handleSearch = (value: string) => {\n    setSearchKeyword(value);\n    setCurrentPage(1);\n  };\n\n  /**\n   * Handle page change\n   */\n  const handlePageChange = (page: number) => {\n    setCurrentPage(page);\n  };\n\n  /**\n   * Handle view agent details\n   */\n  const handleViewDetails = async (agent: MarketAgentListItem) => {\n    setDetailModalVisible(true);\n    setIsLoadingDetail(true);\n    setSelectedAgent(null);\n\n    try {\n      const agentDetail = await marketService.fetchMarketAgentDetail(\n        agent.agent_id\n      );\n      setSelectedAgent(agentDetail);\n    } catch (error) {\n      log.error(\"Failed to load agent detail:\", error);\n      message.error(\n        t(\"market.error.loadAgents\", \"Failed to load agent details\")\n      );\n      setDetailModalVisible(false);\n    } finally {\n      setIsLoadingDetail(false);\n    }\n  };\n\n  /**\n   * Handle close detail modal\n   */\n  const handleCloseDetail = () => {\n    setDetailModalVisible(false);\n    setSelectedAgent(null);\n  };\n\n  /**\n   * Handle agent download - Opens install wizard\n   */\n  const handleDownload = async (agent: MarketAgentListItem) => {\n    try {\n      setIsLoadingDetail(true);\n      // Fetch full agent details for installation\n      const agentDetail = await marketService.fetchMarketAgentDetail(\n        agent.agent_id\n      );\n      setInstallAgent(agentDetail);\n      setInstallModalVisible(true);\n    } catch (error) {\n      log.error(\"Failed to load agent details for installation:\", error);\n      message.error(\n        t(\"market.error.fetchDetailFailed\", \"Failed to load agent details\")\n      );\n    } finally {\n      setIsLoadingDetail(false);\n    }\n  };\n\n  /**\n   * Handle install complete - Shows success message with navigation to agent space\n   */\n  const handleInstallComplete = () => {\n    setInstallModalVisible(false);\n    setInstallAgent(null);\n    \n    // Show success message with clickable link to agent space\n    message.success({\n      content: (\n        <span>\n          {t(\"market.install.success.viewSpace.prefix\")}\n          <button\n            onClick={() => router.push(\"/space\")}\n            className=\"text-blue-600 dark:text-blue-400 font-bold hover:text-blue-700 dark:hover:text-blue-300 cursor-pointer transition-colors\"\n          >\n            {t(\"market.install.success.viewSpace.link\")}\n          </button>\n          {t(\"market.install.success.viewSpace.suffix\")}\n        </span>\n      ),\n      duration: 4,\n    });\n  };\n\n  /**\n   * Handle install cancel\n   */\n  const handleInstallCancel = () => {\n    setInstallModalVisible(false);\n    setInstallAgent(null);\n  };\n\n  /**\n   * Render tab items\n   */\n  const tabItems = [\n    {\n      key: \"all\",\n      label: t(\"market.category.all\", \"All\"),\n    },\n    ...categories.map((cat) => ({\n      key: cat.name,\n      label: isZh ? cat.display_name_zh : cat.display_name,\n    })),\n  ];\n\n  return (\n    <>\n      <div className=\"w-full h-full\">\n        <motion.div\n          initial=\"initial\"\n          animate=\"in\"\n          exit=\"out\"\n          variants={pageVariants}\n          transition={pageTransition}\n          className=\"w-full h-full overflow-auto\"\n        >\n          <div className=\"w-full px-4 md:px-8 lg:px-16 py-8\">\n            <div ref={contentRef} className=\"max-w-7xl mx-auto\">\n              {/* Page header */}\n              <div className=\"flex items-center justify-between mb-6\">\n                <motion.div\n                  initial={{ opacity: 0, y: -20 }}\n                  animate={{ opacity: 1, y: 0 }}\n                  transition={{ duration: 0.5 }}\n                >\n                  <div className=\"flex items-center gap-3\">\n                    <div className=\"w-12 h-12 rounded-full bg-gradient-to-br from-purple-500 to-indigo-500 flex items-center justify-center\">\n                      <ShoppingBag className=\"h-6 w-6 text-white\" />\n                    </div>\n                    <div>\n                      <h1 className=\"text-3xl font-bold text-purple-600 dark:text-purple-500\">\n                        {t(\"market.title\", \"Agent Market\")}\n                      </h1>\n                      <p className=\"text-slate-600 dark:text-slate-300 mt-1\">\n                        {t(\n                          \"market.description\",\n                          \"Discover and download pre-built intelligent agents\"\n                        )}\n                      </p>\n                    </div>\n                  </div>\n                </motion.div>\n\n                {/* Refresh button */}\n                <motion.div\n                  initial={{ opacity: 0, y: -20 }}\n                  animate={{ opacity: 1, y: 0 }}\n                  transition={{ duration: 0.5, delay: 0.1 }}\n                >\n                  <button\n                    onClick={loadAgents}\n                    disabled={isLoadingAgents}\n                    className=\"p-2 rounded-md hover:bg-purple-50 dark:hover:bg-purple-900/20 text-slate-600 dark:text-slate-300 hover:text-purple-600 dark:hover:text-purple-400 transition-colors disabled:opacity-50\"\n                    title={t(\"common.refresh\", \"Refresh\")}\n                  >\n                    <RefreshCw\n                      className={`h-5 w-5 ${isLoadingAgents ? \"animate-spin\" : \"\"}`}\n                    />\n                  </button>\n                </motion.div>\n              </div>\n\n              {/* Only show search and content if no error */}\n              {!errorType ? (\n                <>\n                  {/* Search bar */}\n                  <motion.div\n                    initial={{ opacity: 0 }}\n                    animate={{ opacity: 1 }}\n                    transition={{ duration: 0.5, delay: 0.2 }}\n                    className=\"mb-6\"\n                  >\n                    <Input\n                      size=\"large\"\n                      placeholder={t(\n                        \"market.searchPlaceholder\",\n                        \"Search agents by name or description...\"\n                      )}\n                      prefix={<Search className=\"h-4 w-4 text-slate-400\" />}\n                      value={searchKeyword}\n                      onChange={(e) => handleSearch(e.target.value)}\n                      allowClear\n                      className=\"max-w-md\"\n                    />\n                  </motion.div>\n                  {/* Category tabs */}\n                  <motion.div\n                    initial={{ opacity: 0 }}\n                    animate={{ opacity: 1 }}\n                    transition={{ duration: 0.5, delay: 0.3 }}\n                    className=\"mb-6\"\n                  >\n                    {isLoadingCategories ? (\n                      <div className=\"flex justify-center py-8\">\n                        <Spin size=\"large\" />\n                      </div>\n                    ) : (\n                      <Tabs\n                        activeKey={currentCategory}\n                        items={tabItems}\n                        onChange={handleCategoryChange}\n                        size=\"large\"\n                      />\n                    )}\n                  </motion.div>\n\n                  {/* Agents grid */}\n                  <motion.div\n                    initial={{ opacity: 0 }}\n                    animate={{ opacity: 1 }}\n                    transition={{ duration: 0.5, delay: 0.4 }}\n                  >\n                    {isLoadingAgents ? (\n                      <div className=\"flex justify-center py-16\">\n                        <Spin size=\"large\" />\n                      </div>\n                    ) : agents.length === 0 && featuredItems.length === 0 ? (\n                      <Empty\n                        description={t(\n                          \"market.noAgents\",\n                          \"No agents found in this category\"\n                        )}\n                        className=\"py-16\"\n                      />\n                    ) : (\n                      <>\n                        {/* Featured row per category (show only if there are featured items) */}\n                        {featuredItems.length > 0 && (\n                          <div className=\"mb-6\">\n                            <div className=\"flex items-center justify-between mb-5\">\n                              <h2 className=\"text-2xl font-bold\">\n                                {t(\"market.featuredTitle\")}\n                              </h2>\n                              <div className=\"hidden md:flex items-center gap-2\">\n                                <button\n                                  aria-label=\"Prev featured\"\n                                  onClick={() => {\n                                    const el = document.getElementById(\"featured-row\");\n                                    if (el) el.scrollBy({ left: -Math.floor(el.clientWidth * 0.9), behavior: \"smooth\" });\n                                  }}\n                                  className=\"px-2 py-1 hover:opacity-90\"\n                                  style={{ background: \"transparent\" }}\n                                >\n                                  <ChevronLeft className=\"w-6 h-6 text-slate-500\" />\n                                </button>\n                                <button\n                                  aria-label=\"Next featured\"\n                                  onClick={() => {\n                                    const el = document.getElementById(\"featured-row\");\n                                    if (el) el.scrollBy({ left: Math.floor(el.clientWidth * 0.9), behavior: \"smooth\" });\n                                  }}\n                                  className=\"px-2 py-1 hover:opacity-90\"\n                                  style={{ background: \"transparent\" }}\n                                >\n                                  <ChevronRight className=\"w-6 h-6 text-slate-500\" />\n                                </button>\n                              </div>\n                            </div>\n                            <div\n                              id=\"featured-row\"\n                              ref={featuredRowRef}\n                              className={`flex gap-4 overflow-x-auto noScrollbar pt-2 pb-2`}\n                            >\n                              {featuredItems.map((agent, index) => (\n                                <div\n                                  key={`featured-${agent.id}`}\n                                  className=\"flex-shrink-0 h-full\"\n                                  style={featuredCardWidth ? { width: `${featuredCardWidth}px` } : undefined}\n                                >\n                                  <AgentMarketCard\n                                    agent={agent}\n                                    onDownload={handleDownload}\n                                    onViewDetails={handleViewDetails}\n                                    variant=\"featured\"\n                                  />\n                                </div>\n                              ))}\n                            </div>\n                          </div>\n                        )}\n\n                        {/* Separator between featured and main list (only when both exist) */}\n                        {featuredItems.length > 0 && agents.length > 0 && (\n                          <div className=\"mt-4 mb-8\">\n                            <div className=\"w-full h-[0.5px] bg-slate-200 dark:bg-slate-700 rounded\" />\n                          </div>\n                        )}\n\n                        {agents.length > 0 && (\n                          <>\n                            <div className=\"mt-6 grid grid-cols-1 md:grid-cols-2 lg:grid-cols-3 xl:grid-cols-4 gap-4 pb-8\">\n                          {agents.map((agent, index) => (\n                            <motion.div\n                              key={agent.id}\n                              initial={{ opacity: 0, scale: 0.9 }}\n                              animate={{ opacity: 1, scale: 1 }}\n                              transition={{\n                                duration: 0.3,\n                                delay: 0.05 * index,\n                              }}\n                              className=\"h-full\"\n                            >\n                              <AgentMarketCard\n                                agent={agent}\n                                onDownload={handleDownload}\n                                onViewDetails={handleViewDetails}\n                              />\n                            </motion.div>\n                          ))}\n                        </div>\n\n                        {/* Pagination */}\n                        {totalAgents > pageSize && (\n                          <div className=\"flex justify-center mt-8\">\n                            <Pagination\n                              current={currentPage}\n                              total={totalAgents}\n                              pageSize={pageSize}\n                              onChange={handlePageChange}\n                              showSizeChanger={false}\n                              showTotal={(total) =>\n                                t(\"market.totalAgents\", {\n                                  defaultValue: \"Total {{total}} agents\",\n                                  total,\n                                })\n                              }\n                            />\n                          </div>\n                            )}\n                          </>\n                        )}\n                      </>\n                    )}\n                  </motion.div>\n                </>\n              ) : (\n                /* Error state - only show when there's an error */\n                !isLoadingAgents &&\n                !isLoadingCategories && <MarketErrorState type={errorType} />\n              )}\n            </div>\n          </div>\n\n          {/* Agent Detail Modal */}\n          <MarketAgentDetailModal\n            visible={detailModalVisible}\n            onClose={handleCloseDetail}\n            agentDetails={selectedAgent}\n            loading={isLoadingDetail}\n          />\n\n          {/* Agent Install Modal */}\n          <AgentImportWizard\n            visible={installModalVisible}\n            onCancel={handleInstallCancel}\n            initialData={\n              installAgent?.agent_json\n                ? ({\n                    agent_id: installAgent.agent_id,\n                    agent_info: installAgent.agent_json.agent_info,\n                    mcp_info: installAgent.agent_json.mcp_info,\n                    business_logic_model_id: installAgent.business_logic_model_id,\n                    business_logic_model_name: installAgent.business_logic_model_name,\n                  } as ImportAgentData)\n                : null\n            }\n            onImportComplete={handleInstallComplete}\n            title={undefined} // Use default title\n            agentDisplayName={installAgent?.display_name}\n            agentDescription={installAgent?.description}\n          />\n        </motion.div>\n      </div>\n    </>\n  );\n}\n"
  },
  {
    "path": "frontend/app/[locale]/mcp-tools/page.tsx",
    "content": "\"use client\";\n\nimport React from \"react\";\nimport { motion } from \"framer-motion\";\nimport { useTranslation } from \"react-i18next\";\nimport { Puzzle } from \"lucide-react\";\n\nimport { useSetupFlow } from \"@/hooks/useSetupFlow\";\n\n/**\n * McpToolsContent - MCP tools management coming soon page\n * This will allow admins to manage MCP servers and tools\n */\nexport default function McpToolsContent({}) {\n  const { t } = useTranslation(\"common\");\n\n  // Use custom hook for common setup flow logic\n  const { pageVariants, pageTransition } = useSetupFlow();\n\n  return (\n    <>\n      <div className=\"w-full h-full\">\n        <motion.div\n          initial=\"initial\"\n          animate=\"in\"\n          exit=\"out\"\n          variants={pageVariants}\n          transition={pageTransition}\n          className=\"w-full h-full flex items-center justify-center\"\n        >\n          <div className=\"flex flex-col items-center justify-center space-y-6 p-8 max-w-md text-center\">\n            {/* Icon */}\n            <motion.div\n              initial={{ scale: 0 }}\n              animate={{ scale: 1 }}\n              transition={{ delay: 0.2, type: \"spring\", stiffness: 200 }}\n              className=\"w-24 h-24 rounded-full bg-gradient-to-br from-sky-500 to-indigo-600 flex items-center justify-center shadow-lg\"\n            >\n              <Puzzle className=\"h-12 w-12 text-white\" />\n            </motion.div>\n\n            {/* Title */}\n            <motion.h1\n              initial={{ opacity: 0, y: 20 }}\n              animate={{ opacity: 1, y: 0 }}\n              transition={{ delay: 0.3 }}\n              className=\"text-3xl font-bold text-slate-800 dark:text-slate-100\"\n            >\n              {t(\"mcpTools.comingSoon.title\")}\n            </motion.h1>\n\n            {/* Description */}\n            <motion.p\n              initial={{ opacity: 0, y: 20 }}\n              animate={{ opacity: 1, y: 0 }}\n              transition={{ delay: 0.4 }}\n              className=\"text-lg text-slate-600 dark:text-slate-400\"\n            >\n              {t(\"mcpTools.comingSoon.description\")}\n            </motion.p>\n\n            {/* Feature list */}\n            <motion.ul\n              initial={{ opacity: 0, y: 20 }}\n              animate={{ opacity: 1, y: 0 }}\n              transition={{ delay: 0.5 }}\n              className=\"text-left space-y-2 w-full\"\n            >\n              <li className=\"flex items-start space-x-2\">\n                <span className=\"text-sky-500 mt-1\">✓</span>\n                <span className=\"text-slate-600 dark:text-slate-400\">\n                  {t(\"mcpTools.comingSoon.feature1\")}\n                </span>\n              </li>\n              <li className=\"flex items-start space-x-2\">\n                <span className=\"text-sky-500 mt-1\">✓</span>\n                <span className=\"text-slate-600 dark:text-slate-400\">\n                  {t(\"mcpTools.comingSoon.feature2\")}\n                </span>\n              </li>\n              <li className=\"flex items-start space-x-2\">\n                <span className=\"text-sky-500 mt-1\">✓</span>\n                <span className=\"text-slate-600 dark:text-slate-400\">\n                  {t(\"mcpTools.comingSoon.feature3\")}\n                </span>\n              </li>\n            </motion.ul>\n\n            {/* Coming soon badge */}\n            <motion.div\n              initial={{ opacity: 0, scale: 0.8 }}\n              animate={{ opacity: 1, scale: 1 }}\n              transition={{ delay: 0.6 }}\n              className=\"px-4 py-2 bg-gradient-to-r from-sky-500 to-indigo-600 text-white rounded-full text-sm font-medium shadow-md\"\n            >\n              {t(\"mcpTools.comingSoon.badge\")}\n            </motion.div>\n          </div>\n        </motion.div>\n      </div>\n    </>\n  );\n}\n"
  },
  {
    "path": "frontend/app/[locale]/memory/MemoryMenuList.tsx",
    "content": "\"use client\";\n\nimport React, { useEffect, useState } from \"react\";\nimport { Button, List, Menu, Switch } from \"antd\";\nimport {\n  MessageSquarePlus,\n  Eraser,\n  MessageSquareOff,\n  MessageSquareDashed,\n} from \"lucide-react\";\nimport { useTranslation } from \"react-i18next\";\n\ninterface MemoryMenuListProps {\n  groups: { title: string; key: string; items: any[] }[];\n  showSwitch?: boolean;\n  memory: ReturnType<typeof import(\"@/hooks/useMemory\").useMemory>;\n  t: ReturnType<typeof useTranslation>[\"t\"];\n  onClearConfirm: (groupKey: string, groupTitle: string) => void;\n  renderAddMemoryInput: (groupKey: string) => React.ReactNode;\n}\n\nexport function MemoryMenuList({\n  groups,\n  showSwitch = false,\n  memory,\n  t,\n  onClearConfirm,\n  renderAddMemoryInput,\n}: MemoryMenuListProps) {\n  const [selectedKey, setSelectedKey] = useState<string>(\n    groups.length > 0 ? groups[0].key : \"\"\n  );\n\n  useEffect(() => {\n    if (!groups.some((group) => group.key === selectedKey)) {\n      setSelectedKey(groups[0]?.key ?? \"\");\n    }\n  }, [groups, selectedKey]);\n\n  if (groups.length === 0) {\n    return (\n      <div className=\"flex flex-col items-center justify-center py-20\">\n        <MessageSquareDashed className=\"size-16 mb-4 text-gray-300\" />\n        <p className=\"text-base text-gray-500\">\n          {t(\"memoryManageModal.noMemory\")}\n        </p>\n      </div>\n    );\n  }\n\n  const currentGroup = groups.find((g) => g.key === selectedKey) || groups[0];\n  const isPlaceholder = /-placeholder$/.test(currentGroup.key);\n  const disabled = !isPlaceholder && !!memory.disabledGroups[currentGroup.key];\n\n  const menuItems = groups.map((g) => {\n    const groupDisabled =\n      !/-placeholder$/.test(g.key) && !!memory.disabledGroups[g.key];\n    return {\n      key: g.key,\n      label: (\n        <div className=\"flex items-center justify-between w-full\">\n          <span className=\"truncate\">{g.title}</span>\n          {showSwitch && !/-placeholder$/.test(g.key) && (\n            <div onClick={(e) => e.stopPropagation()}>\n              <Switch\n                size=\"small\"\n                checked={!groupDisabled}\n                onChange={(val) => memory.toggleGroup(g.key, val)}\n              />\n            </div>\n          )}\n        </div>\n      ),\n      disabled: groupDisabled,\n    };\n  });\n\n  return (\n    <div className=\"w-full h-full p-8\">\n      <Menu\n        mode=\"inline\"\n        selectedKeys={[selectedKey]}\n        onClick={({ key }) => setSelectedKey(key)}\n        items={menuItems}\n        style={{ width: 280, height: \"100%\", overflowY: \"auto\" }}\n      />\n\n      <div className=\"flex-1\">\n        {/* Add memory input - appears before the list */}\n        {memory.addingMemoryKey === currentGroup.key && (\n          <div className=\"border border-gray-200 rounded-md p-3 mb-3 bg-blue-50\">\n            {renderAddMemoryInput(currentGroup.key)}\n          </div>\n        )}\n\n        <List\n          header={\n            <div className=\"flex items-center justify-between\">\n              <span className=\"text-base font-medium\">\n                {currentGroup.title}\n              </span>\n              <div className=\"flex items-center gap-2\">\n                <Button\n                  type=\"text\"\n                  size=\"small\"\n                  icon={<MessageSquarePlus className=\"size-4\" />}\n                  onClick={() => {\n                    memory.startAddingMemory(currentGroup.key);\n                  }}\n                  disabled={disabled}\n                  className=\"hover:bg-green-50 hover:text-green-600\"\n                  title={t(\"memoryManageModal.addMemory\")}\n                />\n                {currentGroup.items.length > 0 && (\n                  <Button\n                    type=\"text\"\n                    size=\"small\"\n                    icon={<MessageSquareOff className=\"size-4\" />}\n                    onClick={() =>\n                      !isPlaceholder &&\n                      onClearConfirm(currentGroup.key, currentGroup.title)\n                    }\n                    disabled={disabled}\n                    danger\n                    className=\"hover:bg-red-50\"\n                    title={t(\"memoryManageModal.clearMemory\")}\n                  />\n                )}\n              </div>\n            </div>\n          }\n          bordered\n          dataSource={currentGroup.items}\n          locale={{\n            emptyText: (\n              <div className=\"flex flex-col items-center justify-center py-16 text-gray-400\">\n                <MessageSquareDashed className=\"size-12 mb-3 opacity-50\" />\n                <p className=\"text-sm\">{t(\"memoryManageModal.noMemory\")}</p>\n              </div>\n            ),\n          }}\n          style={{\n            height:\n              memory.addingMemoryKey === currentGroup.key\n                ? \"calc(100% - 100px)\"\n                : \"100%\",\n            overflowY: \"auto\",\n          }}\n          renderItem={(item) => (\n            <List.Item\n              className=\"hover:bg-gray-50 transition-colors\"\n              actions={[\n                <Button\n                  key=\"delete\"\n                  type=\"text\"\n                  size=\"small\"\n                  danger\n                  icon={<Eraser className=\"size-4\" />}\n                  onClick={() =>\n                    memory.handleDeleteMemory(item.id, currentGroup.key)\n                  }\n                  disabled={disabled}\n                  title={t(\"memoryManageModal.deleteMemory\")}\n                />,\n              ]}\n            >\n              <div className=\"flex flex-col text-sm\">{item.memory}</div>\n            </List.Item>\n          )}\n        />\n      </div>\n    </div>\n  );\n}\n\n\n\n\n\n"
  },
  {
    "path": "frontend/app/[locale]/memory/memory.css",
    "content": "/* Memory page custom styles */\n\n/* Smooth scrolling and custom scrollbar */\n.memory-single-list .ant-list,\n.ant-menu {\n  scroll-behavior: smooth;\n}\n\n.memory-single-list .ant-list::-webkit-scrollbar,\n.ant-menu::-webkit-scrollbar {\n  width: 6px;\n}\n\n.memory-single-list .ant-list::-webkit-scrollbar-track,\n.ant-menu::-webkit-scrollbar-track {\n  background: transparent;\n}\n\n.memory-single-list .ant-list::-webkit-scrollbar-thumb,\n.ant-menu::-webkit-scrollbar-thumb {\n  background: #d1d5db;\n  border-radius: 3px;\n}\n\n.memory-single-list .ant-list::-webkit-scrollbar-thumb:hover,\n.ant-menu::-webkit-scrollbar-thumb:hover {\n  background: #9ca3af;\n}\n"
  },
  {
    "path": "frontend/app/[locale]/memory/page.tsx",
    "content": "\"use client\";\n\nimport React, { useEffect, useState, useCallback } from \"react\";\nimport { App, Button, Card, Input, List, Menu, Switch, Tabs } from \"antd\";\nimport { motion } from \"framer-motion\";\nimport \"./memory.css\";\nimport {\n  MessageSquarePlus,\n  Eraser,\n  MessageSquareOff,\n  UsersRound,\n  UserRound,\n  Bot,\n  Share2,\n  Settings,\n  MessageSquareDashed,\n  Check,\n  X,\n} from \"lucide-react\";\nimport { useTranslation, Trans } from \"react-i18next\";\n\nimport { useAuthorizationContext } from \"@/components/providers/AuthorizationProvider\";\nimport { useDeployment } from \"@/components/providers/deploymentProvider\";\nimport { useMemory } from \"@/hooks/useMemory\";\nimport { useSetupFlow } from \"@/hooks/useSetupFlow\";\nimport { MEMORY_TAB_KEYS, MemoryTabKey } from \"@/const/modelConfig\";\nimport {\n  MEMORY_SHARE_STRATEGY,\n  MemoryShareStrategy,\n} from \"@/const/memoryConfig\";\nimport { SETUP_PAGE_CONTAINER, STANDARD_CARD } from \"@/const/layoutConstants\";\n\nimport { useConfirmModal } from \"@/hooks/useConfirmModal\";\nimport { MemoryMenuList } from \"./MemoryMenuList\";\n\n/**\n * MemoryContent - Main component for memory management page\n * Redesigned from modal to full-page layout with cards\n */\nexport default function MemoryContent() {\n  const { message } = App.useApp();\n  const { t } = useTranslation(\"common\");\n  const { user } = useAuthorizationContext();\n  const { isSpeedMode } = useDeployment();\n  const { confirm } = useConfirmModal();\n\n  // Use custom hook for common setup flow logic\n  const { pageVariants, pageTransition } = useSetupFlow();\n\n  // Mock user and tenant IDs (should come from context)\n  const currentUserId = \"user1\";\n  const currentTenantId = \"tenant1\";\n\n  const memory = useMemory({\n    visible: true,\n    currentUserId,\n    currentTenantId,\n    message,\n  });\n\n  const handleClearConfirm = (groupKey: string, groupTitle: string) => {\n    confirm({\n      title: t(\"memoryDeleteModal.title\"),\n      content: (\n        <div className=\"space-y-4 mt-4\">\n          <p className=\"text-base\">\n            <Trans\n              i18nKey=\"memoryDeleteModal.description\"\n              values={{ title: groupTitle }}\n              components={{ strong: <strong className=\"font-semibold\" /> }}\n            />\n          </p>\n          <p className=\"text-sm text-gray-500\">\n            {t(\"memoryDeleteModal.prompt\")}\n          </p>\n        </div>\n      ),\n      onOk: () => memory.handleClearMemory(groupKey, groupTitle),\n    });\n  };\n\n  // Render base settings in a horizontal control bar\n  const renderBaseSettings = () => {\n    const shareOptionLabels: Record<MemoryShareStrategy, string> = {\n      [MEMORY_SHARE_STRATEGY.ALWAYS]: t(\"memoryManageModal.shareOption.always\"),\n      [MEMORY_SHARE_STRATEGY.ASK]: t(\"memoryManageModal.shareOption.ask\"),\n      [MEMORY_SHARE_STRATEGY.NEVER]: t(\"memoryManageModal.shareOption.never\"),\n    };\n\n    return (\n      <Card className=\"mb-6 shadow-sm\">\n        <div className=\"flex items-center justify-between gap-8\">\n          <div className=\"flex items-center gap-4\">\n            <Settings className=\"size-5 text-gray-600\" />\n            <div className=\"flex flex-col\">\n              <span className=\"text-sm font-medium\">\n                {t(\"memoryManageModal.memoryAbility\")}\n              </span>\n            </div>\n          </div>\n          <Switch\n            checked={memory.memoryEnabled}\n            onChange={memory.setMemoryEnabled}\n          />\n        </div>\n\n        {memory.memoryEnabled && (\n          <div className=\"flex items-center justify-between gap-8 mt-6 pt-6 border-t\">\n            <div className=\"flex items-center gap-4\">\n              <Share2 className=\"size-5 text-gray-600\" />\n              <div className=\"flex flex-col\">\n                <span className=\"text-sm font-medium\">\n                  {t(\"memoryManageModal.agentMemoryShare\")}\n                </span>\n              </div>\n            </div>\n            <div className=\"flex gap-2\">\n              {Object.entries(shareOptionLabels).map(([key, label]) => (\n                <Button\n                  key={key}\n                  type={memory.shareOption === key ? \"primary\" : \"default\"}\n                  size=\"middle\"\n                  onClick={() =>\n                    memory.setShareOption(key as MemoryShareStrategy)\n                  }\n                >\n                  {label}\n                </Button>\n              ))}\n            </div>\n          </div>\n        )}\n      </Card>\n    );\n  };\n\n  // Render add memory input (inline, doesn't expand container)\n  const renderAddMemoryInput = (groupKey: string) => {\n    if (memory.addingMemoryKey !== groupKey) return null;\n\n    return (\n      <div className=\"w-full flex items-center justify-center\">\n        <div className=\"w-full flex items-start gap-3\">\n          <Input.TextArea\n            value={memory.newMemoryContent}\n            onChange={(e) => memory.setNewMemoryContent(e.target.value)}\n            placeholder={t(\"memoryManageModal.inputPlaceholder\")}\n            maxLength={500}\n            showCount\n            onPressEnter={memory.confirmAddingMemory}\n            disabled={memory.isAddingMemory}\n            className=\"flex-1\"\n            autoSize={{ minRows: 1, maxRows: 3 }}\n            style={{ minHeight: \"60px\" }}\n          />\n          <div className=\"flex flex-col gap-2 flex-shrink-0 pt-1\">\n            <Button\n              type=\"primary\"\n              size=\"middle\"\n              shape=\"circle\"\n              icon={<Check className=\"size-4\" />}\n              onClick={memory.confirmAddingMemory}\n              loading={memory.isAddingMemory}\n              disabled={!memory.newMemoryContent.trim()}\n              className=\"bg-green-500 hover:bg-green-600\"\n            />\n            <Button\n              size=\"middle\"\n              shape=\"circle\"\n              icon={<X className=\"size-4\" />}\n              onClick={memory.cancelAddingMemory}\n              disabled={memory.isAddingMemory}\n            />\n          </div>\n        </div>\n      </div>\n    );\n  };\n\n  // Render single list (for tenant shared and user personal) - no card, with header buttons\n  const renderSingleList = useCallback(\n    (group: { title: string; key: string; items: any[] }) => {\n      return (\n        <div\n          className=\"memory-single-list\"\n          key={`${group.key}-${group.items.length}-${memory.addingMemoryKey}`}\n        >\n          {/* Add memory input - appears before the list */}\n          {memory.addingMemoryKey === group.key && (\n            <div className=\"border border-gray-200 rounded-md p-3 mb-3 bg-blue-50\">\n              {renderAddMemoryInput(group.key)}\n            </div>\n          )}\n\n          <List\n            header={\n              <div className=\"flex items-center justify-between\">\n                <span className=\"text-base font-medium\">{group.title}</span>\n                <div className=\"flex items-center gap-2\">\n                  <Button\n                    type=\"text\"\n                    size=\"small\"\n                    icon={<MessageSquarePlus className=\"size-4\" />}\n                    onClick={() => {\n                      memory.startAddingMemory(group.key);\n                    }}\n                    className=\"hover:bg-green-50 hover:text-green-600\"\n                    title={t(\"memoryManageModal.addMemory\")}\n                  />\n                  {group.items.length > 0 && (\n                    <Button\n                      type=\"text\"\n                      size=\"small\"\n                      icon={<MessageSquareOff className=\"size-4\" />}\n                      onClick={() => handleClearConfirm(group.key, group.title)}\n                      danger\n                      className=\"hover:bg-red-50\"\n                      title={t(\"memoryManageModal.clearMemory\")}\n                    />\n                  )}\n                </div>\n              </div>\n            }\n            bordered\n            dataSource={group.items}\n            locale={{\n              emptyText: (\n                <div className=\"flex flex-col items-center justify-center py-16 text-gray-400\">\n                  <MessageSquareDashed className=\"size-12 mb-3 opacity-50\" />\n                  <p className=\"text-sm\">{t(\"memoryManageModal.noMemory\")}</p>\n                </div>\n              ),\n            }}\n            style={{\n              height:\n                memory.addingMemoryKey === group.key\n                  ? \"calc(100vh - 380px)\"\n                  : \"calc(100vh - 280px)\",\n              overflowY: \"auto\",\n            }}\n            renderItem={(item) => (\n              <List.Item\n                className=\"hover:bg-gray-50 transition-colors\"\n                actions={[\n                  <Button\n                    key=\"delete\"\n                    type=\"text\"\n                    size=\"small\"\n                    danger\n                    icon={<Eraser className=\"size-4\" />}\n                    onClick={() =>\n                      memory.handleDeleteMemory(item.id, group.key)\n                    }\n                    title={t(\"memoryManageModal.deleteMemory\")}\n                  />,\n                ]}\n              >\n                <div className=\"flex flex-col text-sm\">{item.memory}</div>\n              </List.Item>\n            )}\n          />\n        </div>\n      );\n    },\n    [\n      memory.addingMemoryKey,\n      memory.startAddingMemory,\n      memory.handleDeleteMemory,\n      handleClearConfirm,\n      renderAddMemoryInput,\n      t,\n    ]\n  );\n\n  const renderMemoryWithMenu = (\n    groups: { title: string; key: string; items: any[] }[],\n    showSwitch = false\n  ) => (\n    <MemoryMenuList\n      groups={groups}\n      showSwitch={showSwitch}\n      memory={memory}\n      t={t}\n      onClearConfirm={handleClearConfirm}\n      renderAddMemoryInput={renderAddMemoryInput}\n    />\n  );\n\n  const tabItems = [\n    {\n      key: MEMORY_TAB_KEYS.BASE,\n      label: (\n        <span className=\"inline-flex items-center gap-2\">\n          <Settings className=\"size-4\" />\n          {t(\"memoryManageModal.baseSettings\")}\n        </span>\n      ),\n      children: renderBaseSettings(),\n    },\n [\n          {\n            key: MEMORY_TAB_KEYS.TENANT,\n            label: (\n              <span className=\"inline-flex items-center gap-2\">\n                <UsersRound className=\"size-4\" />\n                {t(\"memoryManageModal.tenantShareTab\")}\n              </span>\n            ),\n            children: renderSingleList(memory.tenantSharedGroup),\n            disabled: !memory.memoryEnabled,\n          },\n          {\n            key: MEMORY_TAB_KEYS.AGENT_SHARED,\n            label: (\n              <span className=\"inline-flex items-center gap-2\">\n                <Share2 className=\"size-4\" />\n                {t(\"memoryManageModal.agentShareTab\")}\n              </span>\n            ),\n            children: renderMemoryWithMenu(memory.agentSharedGroups, true),\n            disabled:\n              !memory.memoryEnabled ||\n              memory.shareOption === MEMORY_SHARE_STRATEGY.NEVER,\n          },\n        ],\n    {\n      key: MEMORY_TAB_KEYS.USER_PERSONAL,\n      label: (\n        <span className=\"inline-flex items-center gap-2\">\n          <UserRound className=\"size-4\" />\n          {t(\"memoryManageModal.userPersonalTab\")}\n        </span>\n      ),\n      children: renderSingleList(memory.userPersonalGroup),\n      disabled: !memory.memoryEnabled,\n    },\n    {\n      key: MEMORY_TAB_KEYS.USER_AGENT,\n      label: (\n        <span className=\"inline-flex items-center gap-2\">\n          <Bot className=\"size-4\" />\n          {t(\"memoryManageModal.userAgentTab\")}\n        </span>\n      ),\n      children: renderMemoryWithMenu(memory.userAgentGroups, true),\n      disabled: !memory.memoryEnabled,\n    },\n  ];\n\n  return (\n    <>\n      <div className=\"w-full h-full p-8\">\n        <motion.div\n          initial=\"initial\"\n          animate=\"in\"\n          exit=\"out\"\n          variants={pageVariants}\n          transition={pageTransition}\n          style={{ width: \"100%\", height: \"100%\" }}\n        >\n\n            <div className=\"w-full h-full flex items-center justify-center\">\n              <div\n                className=\"w-full mx-auto\"\n                style={{\n                  maxWidth: SETUP_PAGE_CONTAINER.MAX_WIDTH,\n                  padding: `0 ${SETUP_PAGE_CONTAINER.HORIZONTAL_PADDING}`,\n                }}\n              >\n                <div\n                  className={STANDARD_CARD.BASE_CLASSES}\n                  style={{\n                    height: SETUP_PAGE_CONTAINER.MAIN_CONTENT_HEIGHT,\n                    padding: \"25px\",\n                  }}\n                >\n                  <Tabs\n                    size=\"middle\"\n                    items={tabItems as any}\n                    activeKey={memory.activeTabKey}\n                    onChange={(key) => memory.setActiveTabKey(key)}\n                    tabBarStyle={{\n                      marginBottom: \"16px\",\n                    }}\n                  />\n                </div>\n              </div>\n            </div>\n        </motion.div>\n      </div>\n    </>\n  );\n}\n"
  },
  {
    "path": "frontend/app/[locale]/models/ModelConfiguration.tsx",
    "content": "\"use client\";\n\nimport { useState, useEffect, useRef } from \"react\";\nimport { useTranslation } from \"react-i18next\";\nimport { Typography, Row, Col } from \"antd\";\n\nimport {\n  SETUP_PAGE_CONTAINER,\n  TWO_COLUMN_LAYOUT,\n  STANDARD_CARD,\n  CARD_HEADER,\n} from \"@/const/layoutConstants\";\n\nimport { AppConfigSection } from \"./components/appConfig\";\nimport {\n  ModelConfigSection,\n  ModelConfigSectionRef,\n} from \"./components/modelConfig\";\n\nconst { Title } = Typography;\n\n// Add interface definition\ninterface AppModelConfigProps {\n  skipModelVerification?: boolean;\n  // Expose a ref from parent to allow programmatic dropdown change\n  forwardedRef?: React.Ref<ModelConfigSectionRef>;\n}\n\nexport default function AppModelConfig({\n  skipModelVerification = false,\n  forwardedRef,\n}: AppModelConfigProps) {\n  const { t } = useTranslation();\n  const [isClientSide, setIsClientSide] = useState(false);\n  const modelConfigRef = useRef<ModelConfigSectionRef | null>(null);\n\n  // Add useEffect hook for initial configuration loading\n  useEffect(() => {\n    setIsClientSide(true);\n\n    return () => {\n      setIsClientSide(false);\n    };\n  }, [skipModelVerification]);\n\n  // Bridge internal ref to external forwardedRef so parent can call simulateDropdownChange\n  useEffect(() => {\n    if (!forwardedRef) return;\n    if (typeof forwardedRef === \"function\") {\n      forwardedRef(modelConfigRef.current);\n    } else {\n      // @ts-ignore allow writing current\n      (forwardedRef as any).current = modelConfigRef.current;\n    }\n  }, [forwardedRef]);\n\n  return (\n    <div\n      className=\"w-full h-full mx-auto\"\n      style={{\n        maxWidth: SETUP_PAGE_CONTAINER.MAX_WIDTH,\n        padding: `0 ${SETUP_PAGE_CONTAINER.HORIZONTAL_PADDING}`,\n      }}\n    >\n      {isClientSide ? (\n        <div className=\"w-full h-full\">\n          <Row className=\"h-full w-full\" gutter={TWO_COLUMN_LAYOUT.GUTTER}>\n            <Col\n              className=\"h-full\"\n              xs={TWO_COLUMN_LAYOUT.LEFT_COLUMN.xs}\n              md={TWO_COLUMN_LAYOUT.LEFT_COLUMN.md}\n              lg={TWO_COLUMN_LAYOUT.LEFT_COLUMN.lg}\n              xl={TWO_COLUMN_LAYOUT.LEFT_COLUMN.xl}\n              xxl={TWO_COLUMN_LAYOUT.LEFT_COLUMN.xxl}\n            >\n              <div\n                className={`${STANDARD_CARD.BASE_CLASSES} flex flex-col h-full w-full`}\n                style={{\n                  padding: STANDARD_CARD.PADDING,\n                }}\n              >\n                <div\n                  style={{\n                    padding: CARD_HEADER.PADDING,\n                    flexShrink: 0,\n                  }}\n                >\n                  <Title level={4}>{t(\"setup.config.appSettings\")}</Title>\n                  <div className={CARD_HEADER.DIVIDER_CLASSES}></div>\n                </div>\n                <div\n                  style={{\n                    flex: 1,\n                    ...STANDARD_CARD.CONTENT_SCROLL,\n                  }}\n                >\n                  <AppConfigSection />\n                </div>\n              </div>\n            </Col>\n\n            <Col\n              xs={TWO_COLUMN_LAYOUT.RIGHT_COLUMN.xs}\n              md={TWO_COLUMN_LAYOUT.RIGHT_COLUMN.md}\n              lg={TWO_COLUMN_LAYOUT.RIGHT_COLUMN.lg}\n              xl={TWO_COLUMN_LAYOUT.RIGHT_COLUMN.xl}\n              xxl={TWO_COLUMN_LAYOUT.RIGHT_COLUMN.xxl}\n            >\n              <div\n                className={`${STANDARD_CARD.BASE_CLASSES} flex flex-col h-full w-full`}\n                style={{\n                  padding: STANDARD_CARD.PADDING,\n                }}\n              >\n                <div\n                  style={{\n                    padding: CARD_HEADER.PADDING,\n                    flexShrink: 0,\n                  }}\n                >\n                  <Title level={4}>{t(\"setup.config.modelSettings\")}</Title>\n                  <div className={CARD_HEADER.DIVIDER_CLASSES}></div>\n                </div>\n                <div\n                  style={{\n                    flex: 1,\n                    background: \"#fff\",\n                    ...STANDARD_CARD.CONTENT_SCROLL,\n                  }}\n                >\n                  <ModelConfigSection\n                    ref={modelConfigRef as any}\n                    skipVerification={skipModelVerification}\n                  />\n                </div>\n              </div>\n            </Col>\n          </Row>\n        </div>\n      ) : (\n        <div className=\"max-w-4xl mx-auto\">\n          <div className=\"h-[300px] flex items-center justify-center\">\n            <span>{t(\"common.loading\")}</span>\n          </div>\n        </div>\n      )}\n    </div>\n  );\n}\n"
  },
  {
    "path": "frontend/app/[locale]/models/components/appConfig.tsx",
    "content": "import React, { useRef, useState, useEffect, useCallback } from 'react';\nimport dynamic from 'next/dynamic';\nimport { useTranslation } from 'react-i18next';\n\nimport { Input, Radio, ColorPicker, Button, Typography, Card, Col, Row, App } from 'antd';\nimport { PlusOutlined } from '@ant-design/icons';\nimport { Pencil } from 'lucide-react';\n\nimport { useConfig } from '@/hooks/useConfig';\nimport { presetIcons, colorOptions } from \"@/const/avatar\";\nimport { generateAvatarUri } from \"@/lib/avatar\";\nimport log from \"@/lib/logger\";\nimport { LAYOUT_CONFIG, CARD_THEMES, ICON_TYPES } from \"@/const/modelConfig\";\n\nimport \"bootstrap-icons/font/bootstrap-icons.css\";\n\nconst { TextArea } = Input;\nconst { Text } = Typography;\n\n// Dynamically import Modal component to avoid SSR hydration errors\nconst DynamicModal = dynamic(() => import(\"antd/es/modal\"), { ssr: false });\n\nexport const AppConfigSection: React.FC = () => {\n  const { t } = useTranslation();\n  const { message } = App.useApp();\n  const { appConfig, updateAppConfig, getAppAvatarUrl, saveConfig } =\n    useConfig();\n\n  // Add local state management for input values\n  const [localAppName, setLocalAppName] = useState(appConfig.appName);\n  const [localAppDescription, setLocalAppDescription] = useState(\n    appConfig.appDescription\n  );\n\n  // Add error state management\n  const [appNameError, setAppNameError] = useState(false);\n\n  // Add user input state tracking\n  const isUserTypingAppName = useRef(false);\n  const isUserTypingDescription = useRef(false);\n\n  // Avatar-related state\n  const [isAvatarModalOpen, setIsAvatarModalOpen] = useState(false);\n  const [selectedIconKey, setSelectedIconKey] = useState<string>(\n    appConfig.iconKey || presetIcons[0].key\n  );\n  const [tempIconKey, setTempIconKey] = useState<string>(\n    appConfig.iconKey || presetIcons[0].key\n  );\n  const [tempColor, setTempColor] = useState<string>(\"#2689cb\");\n  const [avatarType, setAvatarType] = useState<\n    (typeof ICON_TYPES)[keyof typeof ICON_TYPES]\n  >(appConfig.iconType);\n  const [tempAvatarType, setTempAvatarType] = useState<\n    (typeof ICON_TYPES)[keyof typeof ICON_TYPES]\n  >(appConfig.iconType);\n  const [customAvatarUrl, setCustomAvatarUrl] = useState<string | null>(\n    appConfig.customIconUrl\n  );\n  const [tempCustomAvatarUrl, setTempCustomAvatarUrl] = useState<string | null>(\n    appConfig.customIconUrl\n  );\n\n  // Get current avatar URL\n  const avatarUrl = getAppAvatarUrl(60);\n\n  const fileInputRef = useRef<HTMLInputElement>(null);\n\n  const triggerAutoSave = useCallback(() => {\n    const runSave = async () => {\n      const ok = await saveConfig();\n      if (!ok) {\n        message.error(t(\"setup.page.error.saveConfig\"));\n      }\n    };\n\n    void runSave();\n  }, [saveConfig, message, t]);\n\n  // Add configuration change listener, synchronize local state when config is loaded from backend\n  useEffect(() => {\n    const handleConfigChanged = (event: any) => {\n      const { config } = event.detail;\n      if (config?.app) {\n        // Only update state when user is not currently typing\n        if (!isUserTypingAppName.current) {\n          setLocalAppName(config.app.appName || \"\");\n        }\n        if (!isUserTypingDescription.current) {\n          setLocalAppDescription(config.app.appDescription || \"\");\n        }\n        setAvatarType(config.app.iconType || ICON_TYPES.PRESET);\n        setCustomAvatarUrl(config.app.customIconUrl || null);\n\n        // Reset error state\n        if (config.app.appName && config.app.appName.trim()) {\n          setAppNameError(false);\n        }\n      }\n    };\n\n    window.addEventListener(\"configChanged\", handleConfigChanged);\n    return () => {\n      window.removeEventListener(\"configChanged\", handleConfigChanged);\n    };\n  }, []);\n\n  // Listen for appConfig changes, synchronize local state\n  useEffect(() => {\n    // Only update state when user is not currently typing\n    if (!isUserTypingAppName.current) {\n      setLocalAppName(appConfig.appName);\n    }\n    if (!isUserTypingDescription.current) {\n      setLocalAppDescription(appConfig.appDescription);\n    }\n    setAvatarType(appConfig.iconType);\n    setCustomAvatarUrl(appConfig.customIconUrl);\n    setSelectedIconKey(appConfig.iconKey || presetIcons[0].key);\n  }, [\n    appConfig.appName,\n    appConfig.appDescription,\n    appConfig.iconType,\n    appConfig.customIconUrl,\n    appConfig.iconKey,\n  ]);\n\n  // Listen for highlight missing field events\n  useEffect(() => {\n    const handleHighlightMissingField = (event: any) => {\n      const { field } = event.detail;\n      if (field === \"appName\") {\n        setAppNameError(true);\n        // Scroll to app name input field\n        const appNameInput = document.querySelector(\".app-name-input\");\n        if (appNameInput) {\n          appNameInput.scrollIntoView({ behavior: \"smooth\", block: \"center\" });\n        }\n      }\n    };\n\n    window.addEventListener(\n      \"highlightMissingField\",\n      handleHighlightMissingField\n    );\n    return () => {\n      window.removeEventListener(\n        \"highlightMissingField\",\n        handleHighlightMissingField\n      );\n    };\n  }, []);\n\n  // Handle basic app config changes\n  const handleAppNameChange = (e: React.ChangeEvent<HTMLInputElement>) => {\n    const newAppName = e.target.value;\n    isUserTypingAppName.current = true;\n    setLocalAppName(newAppName);\n\n    // If value is entered, clear error state\n    if (newAppName.trim()) {\n      setAppNameError(false);\n    }\n\n  };\n\n  const handleAppNameBlur = () => {\n    updateAppConfig({ appName: localAppName });\n    isUserTypingAppName.current = false;\n    triggerAutoSave();\n  };\n\n  const handleDescriptionChange = (\n    e: React.ChangeEvent<HTMLTextAreaElement>\n  ) => {\n    const newDescription = e.target.value;\n    isUserTypingDescription.current = true;\n    setLocalAppDescription(newDescription);\n  };\n\n  const handleDescriptionBlur = () => {\n    updateAppConfig({ appDescription: localAppDescription });\n    isUserTypingDescription.current = false;\n    triggerAutoSave();\n  };\n\n  // Open avatar selection modal\n  const handleAvatarClick = () => {\n    setTempIconKey(selectedIconKey);\n    setTempAvatarType(avatarType);\n    setTempCustomAvatarUrl(customAvatarUrl);\n    setIsAvatarModalOpen(true);\n  };\n\n  // Handle icon selection\n  const handleIconSelect = (iconKey: string) => {\n    setTempIconKey(iconKey);\n    setTempAvatarType(ICON_TYPES.PRESET);\n  };\n\n  // Handle color selection\n  const handleColorSelect = (color: string) => {\n    setTempColor(color);\n  };\n\n  // Handle custom image upload\n  const handleFileUpload = (e: React.ChangeEvent<HTMLInputElement>) => {\n    const file = e.target.files?.[0];\n    if (file) {\n      if (!file.type.startsWith(\"image/\")) {\n        message.error(t(\"appConfig.upload.imageOnly\"));\n        return;\n      }\n\n      if (file.size > 2 * 1024 * 1024) {\n        message.error(t(\"appConfig.upload.sizeLimit\"));\n        return;\n      }\n\n      const reader = new FileReader();\n      reader.onload = (event) => {\n        if (event.target?.result) {\n          setTempCustomAvatarUrl(event.target.result as string);\n          setTempAvatarType(ICON_TYPES.CUSTOM);\n        }\n      };\n      reader.readAsDataURL(file);\n    }\n    // Clear the input value to allow re-selecting the same file\n    if (fileInputRef.current) {\n      fileInputRef.current.value = \"\";\n    }\n  };\n\n  // Trigger file selection dialog\n  const triggerFileUpload = () => {\n    if (fileInputRef.current) {\n      // Reset value so selecting the same file triggers onChange\n      fileInputRef.current.value = \"\";\n      fileInputRef.current.click();\n    }\n  };\n\n  // Confirm avatar selection\n  const confirmAvatarSelection = async () => {\n    try {\n      setSelectedIconKey(tempIconKey);\n      setAvatarType(tempAvatarType);\n      setCustomAvatarUrl(\n        tempAvatarType === ICON_TYPES.CUSTOM ? tempCustomAvatarUrl : null\n      );\n      setIsAvatarModalOpen(false);\n\n      if (tempAvatarType === ICON_TYPES.PRESET) {\n        // Generate avatar URI and save\n        const avatarUri = generateAvatarUri(tempIconKey, tempColor);\n\n        updateAppConfig({\n          iconType: ICON_TYPES.PRESET,\n          iconKey: tempIconKey,\n          customIconUrl: null,\n          avatarUri: avatarUri,\n        });\n      } else {\n        updateAppConfig({\n          iconType: ICON_TYPES.CUSTOM,\n          customIconUrl: tempCustomAvatarUrl || null,\n          avatarUri: null,\n        });\n      }\n\n      const ok = await saveConfig();\n      if (!ok) {\n        message.error(t(\"setup.page.error.saveConfig\"));\n      }\n    } catch (error) {\n      message.error(t(\"appConfig.icon.saveError\"));\n      log.error(t(\"appConfig.icon.saveErrorLog\"), error);\n    }\n  };\n\n  // Cancel avatar selection\n  const cancelAvatarSelection = () => {\n    setIsAvatarModalOpen(false);\n    setTempCustomAvatarUrl(customAvatarUrl);\n  };\n\n  return (\n    <div style={{ width: \"100%\", height: \"85%\" }}>\n      <style>{`\n        .color-picker-rounded [class*=\"ant-color-picker\"] {\n          border-radius: 10px !important;\n        }\n        .color-picker-rounded .ant-color-picker-presets-color {\n          border-radius: 10px !important;\n        }\n        .bi {\n          display: inline-block;\n          font-size: 1.8rem;\n        }\n      `}</style>\n\n      <Row\n        gutter={[12, 12]}\n        justify=\"center\"\n        style={{ height: \"100%\", marginLeft: \"-30px\" }}\n      >\n        <Col xs={24} md={24} lg={24} xl={24}>\n          <Card\n            variant=\"outlined\"\n            className=\"app-config-card\"\n            styles={{\n              body: { padding: LAYOUT_CONFIG.APP_CARD_BODY_PADDING },\n            }}\n            style={{\n              minHeight: \"300px\",\n              height: \"100%\",\n              width: \"calc(100% - 8px)\",\n              margin: \"0 4px\",\n              backgroundColor: \"#ffffff\",\n              border: `0px solid ${CARD_THEMES.default.borderColor}`,\n            }}\n          >\n            <div\n              className=\"flex items-start justify-center mx-auto my-2\"\n              style={{ maxWidth: \"95%\" }}\n            >\n              <div className=\"mr-6 mt-1 relative group\">\n                <div\n                  className=\"h-[60px] w-[60px] rounded-full overflow-hidden cursor-pointer\"\n                  style={{ boxShadow: \"0 4px 12px rgba(0,0,0,0.2)\" }}\n                  onClick={handleAvatarClick}\n                >\n                  <img\n                    src={avatarUrl}\n                    alt={appConfig.appName}\n                    className=\"h-full w-full object-cover\"\n                  />\n                </div>\n                <div\n                  className=\"absolute -right-1 -bottom-1 bg-white rounded-full p-1 shadow-md opacity-0 group-hover:opacity-100 transition-opacity cursor-pointer\"\n                  onClick={handleAvatarClick}\n                >\n                  <Pencil className=\"h-3 w-3 text-gray-500\" />\n                </div>\n              </div>\n              <div className=\"flex-1\">\n                <div className=\"mb-4\">\n                  <div className=\"flex items-center mb-2 min-h-[24px]\">\n                    <Text className=\"text-base text-gray-700 font-bold\">\n                      {t(\"appConfig.appName.label\")}\n                    </Text>\n                  </div>\n                  <Input\n                    placeholder={t(\"appConfig.appName.placeholder\")}\n                    value={localAppName}\n                    onChange={handleAppNameChange}\n                    onBlur={handleAppNameBlur}\n                    className=\"h-10 text-md rounded-md app-name-input\"\n                    size=\"large\"\n                    status={appNameError ? \"error\" : \"\"}\n                    style={appNameError ? { borderColor: \"#ff4d4f\" } : {}}\n                  />\n                </div>\n                <div className=\"mb-1\">\n                  <div className=\"flex items-center mb-2 min-h-[24px]\">\n                    <Text className=\"text-base text-gray-700 font-bold\">\n                      {t(\"appConfig.description.label\")}\n                    </Text>\n                  </div>\n                  <TextArea\n                    placeholder={t(\"appConfig.description.placeholder\")}\n                    value={localAppDescription}\n                    onChange={handleDescriptionChange}\n                    onBlur={handleDescriptionBlur}\n                    className=\"text-md rounded-md\"\n                    autoSize={{ minRows: 15 }}\n                    size=\"large\"\n                  />\n                </div>\n              </div>\n            </div>\n          </Card>\n        </Col>\n      </Row>\n\n      {isAvatarModalOpen && (\n        <DynamicModal\n          title={t(\"appConfig.icon.modalTitle\")}\n          open={isAvatarModalOpen}\n          onCancel={cancelAvatarSelection}\n          footer={[\n            <Button\n              key=\"submit\"\n              type=\"primary\"\n              onClick={confirmAvatarSelection}\n            >\n              {t(\"common.confirm\")}\n            </Button>,\n          ]}\n          destroyOnHidden={true}\n          width={520}\n          centered\n        >\n          <div className=\"mb-4\">\n            <Radio.Group\n              value={tempAvatarType}\n              onChange={(e) => setTempAvatarType(e.target.value)}\n              className=\"mb-4\"\n            >\n              <Radio.Button value={ICON_TYPES.PRESET}>\n                {t(\"appConfig.icon.preset\")}\n              </Radio.Button>\n              <Radio.Button value={ICON_TYPES.CUSTOM}>\n                {t(\"appConfig.icon.custom\")}\n              </Radio.Button>\n            </Radio.Group>\n          </div>\n\n          {tempAvatarType === ICON_TYPES.PRESET && (\n            <div>\n              <div className=\"mb-3\">\n                <div className=\"text-sm font-medium text-gray-500 mb-2\">\n                  <Text>{t(\"appConfig.icon.selectIcon\")}</Text>\n                </div>\n                <div className=\"grid grid-cols-5 gap-3\">\n                  {presetIcons.map((iconOption) => (\n                    <div\n                      key={iconOption.key}\n                      className={`p-3 flex justify-center items-center rounded-md cursor-pointer ${\n                        tempIconKey === iconOption.key\n                          ? \"bg-blue-50 border border-blue-300\"\n                          : \"border border-gray-200 hover:border-gray-300\"\n                      }`}\n                      onClick={() => handleIconSelect(iconOption.key)}\n                    >\n                      <i\n                        className={`bi bi-${iconOption.icon}`}\n                        style={{ color: \"#273746\" }}\n                      ></i>\n                    </div>\n                  ))}\n                </div>\n              </div>\n\n              <div>\n                <div className=\"text-sm font-medium text-gray-500 mb-2\">\n                  <Text>{t(\"appConfig.icon.selectColor\")}</Text>\n                </div>\n                <div className=\"flex items-center w-full\">\n                  <ColorPicker\n                    value={tempColor}\n                    onChange={(color) => handleColorSelect(color.toHexString())}\n                    showText\n                    disabledAlpha={true}\n                    presets={[\n                      {\n                        label: t(\"appConfig.icon.presetColors\"),\n                        colors: colorOptions as any,\n                      },\n                    ]}\n                    panelRender={(panel) => (\n                      <div className=\"color-picker-rounded\">{panel}</div>\n                    )}\n                    styles={{\n                      popupOverlayInner: {\n                        width: \"auto\",\n                      },\n                    }}\n                    className=\"color-picker-rounded\"\n                  />\n                </div>\n              </div>\n\n              <div>\n                <div className=\"text-sm font-medium text-gray-500 mb-2 mt-4\">\n                  <Text>{t(\"appConfig.icon.preview\")}</Text>\n                </div>\n                <div className=\"mt-4 flex justify-center\">\n                  <div\n                    className=\"h-[60px] w-[60px] rounded-full overflow-hidden\"\n                    style={{ boxShadow: \"0 4px 12px rgba(0,0,0,0.2)\" }}\n                  >\n                    {tempAvatarType === ICON_TYPES.PRESET ? (\n                      <img\n                        src={generateAvatarUri(tempIconKey, tempColor)}\n                        alt={t(\"appConfig.icon.previewAlt\")}\n                        className=\"h-full w-full object-cover\"\n                      />\n                    ) : (\n                      tempCustomAvatarUrl && (\n                        <img\n                          src={tempCustomAvatarUrl}\n                          alt={t(\"appConfig.icon.previewAlt\")}\n                          className=\"h-full w-full object-cover\"\n                        />\n                      )\n                    )}\n                  </div>\n                </div>\n              </div>\n            </div>\n          )}\n\n          {tempAvatarType === ICON_TYPES.CUSTOM && (\n            <div className=\"flex flex-col items-center\">\n              {tempCustomAvatarUrl ? (\n                <div className=\"mb-4 text-center flex flex-col items-center\">\n                  <div\n                    className=\"h-[120px] w-[120px] rounded-full overflow-hidden\"\n                    style={{ boxShadow: \"0 4px 12px rgba(0,0,0,0.2)\" }}\n                  >\n                    <img\n                      src={tempCustomAvatarUrl}\n                      alt={t(\"appConfig.icon.customAlt\")}\n                      className=\"h-full w-full object-cover\"\n                    />\n                  </div>\n                  <Button\n                    type=\"text\"\n                    danger\n                    className=\"mt-4\"\n                    onClick={() => {\n                      setTempCustomAvatarUrl(null);\n                      if (fileInputRef.current) fileInputRef.current.value = \"\";\n                    }}\n                  >\n                    {t(\"appConfig.icon.removeImage\")}\n                  </Button>\n                </div>\n              ) : (\n                <div\n                  className=\"w-32 h-32 border-2 border-dashed border-gray-300 rounded-md flex items-center justify-center cursor-pointer hover:border-blue-500\"\n                  onClick={triggerFileUpload}\n                >\n                  <div className=\"text-center\">\n                    <PlusOutlined\n                      style={{ fontSize: \"24px\", color: \"#8c8c8c\" }}\n                    />\n                    <p className=\"mt-2 text-gray-500\">\n                      {t(\"appConfig.icon.uploadHint\")}\n                    </p>\n                  </div>\n                </div>\n              )}\n\n              <input\n                type=\"file\"\n                ref={fileInputRef}\n                style={{ display: \"none\" }}\n                accept=\"image/*\"\n                onChange={handleFileUpload}\n                title={t(\"appConfig.icon.uploadHint\")}\n                placeholder={t(\"appConfig.icon.uploadHint\")}\n              />\n\n              <div className=\"text-xs text-gray-500 mt-2\">\n                <Text>{t(\"appConfig.icon.uploadTip\")}</Text>\n              </div>\n            </div>\n          )}\n        </DynamicModal>\n      )}\n    </div>\n  );\n};\n"
  },
  {
    "path": "frontend/app/[locale]/models/components/model/ModelAddDialog.tsx",
    "content": "import { useMemo, useState, useCallback, useEffect } from \"react\";\nimport { useTranslation } from \"react-i18next\";\n\nimport { Modal, Select, Input, Button, Switch, Tooltip, App } from \"antd\";\nimport { InfoCircleFilled } from \"@ant-design/icons\";\nimport {\n  LoaderCircle,\n  ChevronRight,\n  ChevronDown,\n  Settings,\n} from \"lucide-react\";\n\nimport { useConfig } from \"@/hooks/useConfig\";\nimport { getConnectivityMeta, ConnectivityStatusType } from \"@/lib/utils\";\nimport { modelService } from \"@/services/modelService\";\nimport { ModelType, SingleModelConfig } from \"@/types/modelConfig\";\nimport { MODEL_TYPES, PROVIDER_LINKS } from \"@/const/modelConfig\";\nimport { useSiliconModelList } from \"@/hooks/model/useSiliconModelList\";\nimport { useDashscopeModelList } from \"@/hooks/model/useDashscopeModelList\";\nimport { useTokenPonyModelList } from \"@/hooks/model/useTokenponyModelList\";\nimport log from \"@/lib/logger\";\nimport {\n  ModelChunkSizeSlider,\n  DEFAULT_EXPECTED_CHUNK_SIZE,\n  DEFAULT_MAXIMUM_CHUNK_SIZE,\n} from \"./ModelChunkSizeSilder\";\n\nconst { Option } = Select;\n\n// Define the return type after adding a model\nexport interface AddedModel {\n  name: string;\n  type: ModelType;\n}\n\ninterface ModelAddDialogProps {\n  isOpen: boolean;\n  onClose: () => void;\n  onSuccess: (model?: AddedModel) => Promise<void>;\n  defaultProvider?: string; // Default provider to select when dialog opens\n  defaultIsBatchImport?: boolean;\n  tenantId?: string; // Optional tenant ID for manage operations\n}\n\n// Default form state for resetting\nconst DEFAULT_FORM_STATE = {\n  type: MODEL_TYPES.LLM as ModelType,\n  name: \"\",\n  displayName: \"\",\n  url: \"\",\n  apiKey: \"\",\n  maxTokens: \"4096\",\n  isMultimodal: false,\n  isBatchImport: false,\n  provider: \"modelengine\",\n  modelEngineUrl: \"\",\n  vectorDimension: \"1024\",\n  chunkSizeRange: [DEFAULT_EXPECTED_CHUNK_SIZE, DEFAULT_MAXIMUM_CHUNK_SIZE] as [\n    number,\n    number,\n  ],\n  chunkingBatchSize: \"10\",\n};\n\n// Connectivity status type comes from utils\n\n// Helper function to translate error messages from backend\nconst translateError = (\n  errorMessage: string,\n  t: (key: string, params?: any) => string\n): string => {\n  if (!errorMessage) return errorMessage;\n\n  const errorLower = errorMessage.toLowerCase();\n\n  // Extract model name from patterns like \"Name 'xxx' is already in use\"\n  // Matches: \"Name 'xxx' is already in use\" or \"Name xxx is already in use\"\n  const nameMatch = errorMessage.match(\n    /Name\\s+(?:['\"]([^'\"]+)['\"]|([^\\s,]+))\\s+is already in use/i\n  );\n  if (nameMatch) {\n    const modelName = nameMatch[1] || nameMatch[2];\n    return t(\"model.dialog.error.nameAlreadyInUse\", { name: modelName });\n  }\n\n  // Model not found pattern\n  if (\n    errorLower.includes(\"model not found\") ||\n    errorLower.includes(\"not found\")\n  ) {\n    const modelNameMatch = errorMessage.match(\n      /(?:Model not found|not found)[:\\s]+([^\\s,]+)/i\n    );\n    if (modelNameMatch) {\n      return t(\"model.dialog.error.modelNotFound\", { name: modelNameMatch[1] });\n    }\n    return t(\"model.dialog.error.modelNotFound\", { name: \"\" });\n  }\n\n  // Unsupported model type\n  if (errorLower.includes(\"unsupported model type\")) {\n    const typeMatch = errorMessage.match(\n      /unsupported model type[:\\s]+([^\\s,]+)/i\n    );\n    if (typeMatch) {\n      return t(\"model.dialog.error.unsupportedModelType\", {\n        type: typeMatch[1],\n      });\n    }\n    return t(\"model.dialog.error.unsupportedModelType\", { type: \"unknown\" });\n  }\n\n  // Connection failed patterns - extract model name and URL from backend error\n  if (\n    errorLower.includes(\"failed to connect\") ||\n    errorLower.includes(\"connection failed\") ||\n    errorLower.includes(\"connection error\") ||\n    errorLower.includes(\"unable to connect\")\n  ) {\n    // Try to extract model name and URL from pattern: \"Failed to connect to model 'xxx' at https://...\"\n    // Match URL that may end with period before the next sentence (e.g., \"https://api.example.com. Please verify...\")\n    // Match URL pattern: http:// or https:// followed by domain (may contain dots) and optional path\n    // Example: \"Failed to connect to model 'qwen-plus' at https://api.siliconflow.cn. Please verify...\"\n    const connectMatch = errorMessage.match(\n      /Failed to connect to model\\s+['\"]([^'\"]+)['\"]\\s+at\\s+(https?:\\/\\/[^\\s]+?)(?:\\.\\s|\\.$|$)/i\n    );\n    if (connectMatch) {\n      // Remove trailing period if present (URL might end with period before next sentence)\n      let url = connectMatch[2].replace(/\\.$/, \"\");\n      // Return fully translated message with model name and URL\n      return t(\"model.dialog.error.failedToConnect\", {\n        modelName: connectMatch[1],\n        url: url,\n      });\n    }\n    // Fallback: return original error message (will be wrapped by connectivityFailed)\n    return errorMessage;\n  }\n\n  // Invalid configuration\n  if (errorLower.includes(\"invalid\") && errorLower.includes(\"config\")) {\n    // Extract the actual error description\n    const configError =\n      errorMessage.replace(/^.*?invalid[^:]*:?\\s*/i, \"\").trim() || errorMessage;\n    return t(\"model.dialog.error.invalidConfiguration\", { error: configError });\n  }\n\n  // ModelEngine specific errors\n  if (\n    errorLower.includes(\"authentication failed\") ||\n    errorLower.includes(\"invalid api key\")\n  ) {\n    return t(\"model.dialog.error.apiConnectionFailed\");\n  }\n  if (\n    errorLower.includes(\"access forbidden\") ||\n    errorLower.includes(\"insufficient permissions\")\n  ) {\n    return t(\"model.dialog.error.apiConnectionFailed\");\n  }\n  if (\n    errorLower.includes(\"endpoint not found\") ||\n    errorLower.includes(\"url may be incorrect\")\n  ) {\n    return t(\"model.dialog.error.apiConnectionFailed\");\n  }\n  if (errorLower.includes(\"server error\") || errorLower.includes(\"http 5\")) {\n    return t(\"model.dialog.error.serverError\");\n  }\n  if (\n    errorLower.includes(\"connection failed\") ||\n    errorLower.includes(\"network\") ||\n    errorLower.includes(\"timeout\")\n  ) {\n    return t(\"model.dialog.error.apiConnectionFailed\");\n  }\n  if (errorLower.includes(\"ssl certificate\")) {\n    return t(\"model.dialog.error.apiConnectionFailed\");\n  }\n\n  // Return original error if no pattern matches\n  return errorMessage;\n};\n\nexport const ModelAddDialog = ({\n  isOpen,\n  onClose,\n  onSuccess,\n  defaultProvider,\n  defaultIsBatchImport,\n  tenantId,\n}: ModelAddDialogProps) => {\n  const { t } = useTranslation();\n  const { message } = App.useApp();\n  const { updateModelConfig, saveConfig } = useConfig();\n\n  // Parse backend error message and return i18n key with params\n  const parseModelError = (\n    errorMessage: string\n  ): { key: string; params?: Record<string, string> } => {\n    if (!errorMessage) {\n      return { key: \"model.dialog.error.addFailed\" };\n    }\n\n    // Check for name conflict error\n    const nameConflictMatch = errorMessage.match(\n      /Name ['\"]?([^'\"]+)['\"]? is already in use/i\n    );\n    if (nameConflictMatch) {\n      return {\n        key: \"model.dialog.error.nameConflict\",\n        params: { name: nameConflictMatch[1] },\n      };\n    }\n\n    // For other errors, return generic error key without showing backend details\n    return { key: \"model.dialog.error.addFailed\" };\n  };\n  // Form state - initialize with default values\n  const [form, setForm] = useState(DEFAULT_FORM_STATE);\n  const [loading, setLoading] = useState(false);\n  const [verifyingConnectivity, setVerifyingConnectivity] = useState(false);\n  const [connectivityStatus, setConnectivityStatus] = useState<{\n    status: ConnectivityStatusType;\n    message: string;\n  }>({\n    status: null,\n    message: \"\",\n  });\n\n  const [modelList, setModelList] = useState<any[]>([]);\n  const [modelSearchTerm, setModelSearchTerm] = useState(\"\");\n  const [selectedModelIds, setSelectedModelIds] = useState<Set<string>>(\n    new Set()\n  );\n  const [showModelList, setShowModelList] = useState(false);\n  const [loadingModelList, setLoadingModelList] = useState(false);\n\n  const persistModelConfig = useCallback(async () => {\n    const ok = await saveConfig();\n    if (!ok) {\n      message.error(t(\"setup.page.error.saveConfig\"));\n    }\n  }, [saveConfig, message, t]);\n\n  // Settings modal state\n  const [settingsModalVisible, setSettingsModalVisible] = useState(false);\n  const [selectedModelForSettings, setSelectedModelForSettings] =\n    useState<any>(null);\n  const [modelMaxTokens, setModelMaxTokens] = useState(\"4096\");\n\n  // Use the silicon model list hook\n  const siliconHook  = useSiliconModelList({\n    form,\n    setModelList,\n    setSelectedModelIds,\n    setShowModelList,\n    setLoadingModelList,\n    tenantId,\n  });\n  const dashscopeHook = useDashscopeModelList({\n    form,\n    setModelList,\n    setSelectedModelIds,\n    setShowModelList,\n    setLoadingModelList,\n    tenantId,\n  });\n  const tokenponyHook = useTokenPonyModelList({\n    form,\n    setModelList,\n    setSelectedModelIds,\n    setShowModelList,\n    setLoadingModelList,\n    tenantId,\n  });\n  let getModelList;\n  let getProviderSelectedModalList;\n\n// 2. 根据条件赋值\n  if (form.provider === \"silicon\") {\n    ({ getModelList, getProviderSelectedModalList } = siliconHook);\n  } else if (form.provider === \"dashscope\") {\n    ({ getModelList, getProviderSelectedModalList } = dashscopeHook);\n  } else if (form.provider === \"tokenpony\") {\n    ({ getModelList, getProviderSelectedModalList } = tokenponyHook);\n  }\n  // Reset form to default state\n  const resetForm = useCallback(() => {\n    setForm(DEFAULT_FORM_STATE);\n    setConnectivityStatus({ status: null, message: \"\" });\n    setModelList([]);\n    setModelSearchTerm(\"\");\n    setSelectedModelIds(new Set());\n    setShowModelList(false);\n  }, []);\n\n  // Wrap onClose to reset form before closing\n  const handleClose = useCallback(() => {\n    resetForm();\n    onClose();\n  }, [onClose, resetForm]);\n\n  // When dialog opens, apply default provider and optional default batch mode\n  useEffect(() => {\n    if (!isOpen) return;\n    setForm((prev) => ({\n      ...prev,\n      provider: defaultProvider || prev.provider,\n      isBatchImport:\n        typeof defaultIsBatchImport !== \"undefined\"\n          ? Boolean(defaultIsBatchImport)\n          : prev.isBatchImport,\n    }));\n  }, [isOpen, defaultProvider, defaultIsBatchImport]);\n\n  const parseModelName = (name: string): string => {\n    if (!name) return \"\";\n    const parts = name.split(\"/\");\n    if (parts.length <= 2) {\n      return parts[parts.length - 1];\n    } else {\n      return `${parts[0]}/${parts[parts.length - 1]}`;\n    }\n  };\n\n  const filteredModelList = useMemo(() => {\n    const keyword = modelSearchTerm.trim().toLowerCase();\n    if (!keyword) {\n      return modelList;\n    }\n    return modelList.filter((model: any) => {\n      const candidates = [\n        model.id,\n        model.model_name,\n        model.model_tag,\n        model.description,\n      ];\n      return candidates.some(\n        (text) =>\n          typeof text === \"string\" && text.toLowerCase().includes(keyword)\n      );\n    });\n  }, [modelList, modelSearchTerm]);\n\n  // Handle model name change, automatically update the display name\n  const handleModelNameChange = (e: React.ChangeEvent<HTMLInputElement>) => {\n    const name = e.target.value;\n    setForm((prev) => ({\n      ...prev,\n      name,\n      // If the display name is the same as the parsed result of the model name, it means the user has not manually modified the display name\n      // At this time, the display name should be automatically updated\n      displayName:\n        prev.displayName === parseModelName(prev.name)\n          ? parseModelName(name)\n          : prev.displayName,\n    }));\n    // Clear the previous verification status\n    setConnectivityStatus({ status: null, message: \"\" });\n  };\n\n  // Handle form change\n  const handleFormChange = (field: string, value: string | boolean) => {\n    setForm((prev) => ({\n      ...prev,\n      [field]: value,\n      // When provider changes, clear provider-related fields\n      ...(field === \"provider\"\n        ? {\n            url: \"\",\n            apiKey: \"\",\n            modelEngineUrl: \"\",\n          }\n        : {}),\n    }));\n    // If the key configuration item changes, clear the verification status\n    if (\n      [\"type\", \"url\", \"apiKey\", \"maxTokens\", \"vectorDimension\"].includes(\n        field\n      ) ||\n      field === \"provider\"\n    ) {\n      setConnectivityStatus({ status: null, message: \"\" });\n    }\n    // Clear model search term when model type changes\n    if (field === \"type\") {\n      setModelSearchTerm(\"\");\n    }\n    // Clear model list when provider changes\n    if (field === \"provider\") {\n      setModelList([]);\n      setSelectedModelIds(new Set());\n    }\n  };\n\n  // Verify if the vector dimension is valid\n  const isValidVectorDimension = (value: string): boolean => {\n    const dimension = parseInt(value);\n    return !isNaN(dimension) && dimension > 0;\n  };\n\n  // Check if the form is valid\n  const isFormValid = () => {\n    if (form.isBatchImport) {\n      // If provider is ModelEngine, require the ModelEngine URL as well.\n      if (form.provider === \"modelengine\") {\n        return (\n          form.provider.trim() !== \"\" &&\n          form.apiKey.trim() !== \"\" &&\n          ((form as any).modelEngineUrl || \"\").toString().trim() !== \"\"\n        );\n      }\n      return form.provider.trim() !== \"\" && form.apiKey.trim() !== \"\";\n    }\n    if (form.type === MODEL_TYPES.EMBEDDING) {\n      return (\n        form.name.trim() !== \"\" &&\n        form.url.trim() !== \"\" &&\n        isValidVectorDimension(form.vectorDimension)\n      );\n    }\n    return (\n      form.name.trim() !== \"\" &&\n      form.url.trim() !== \"\" &&\n      form.maxTokens.trim() !== \"\"\n    );\n  };\n\n  // Verify model connectivity\n  const handleVerifyConnectivity = async () => {\n    if (!isFormValid()) {\n      message.warning(t(\"model.dialog.warning.incompleteForm\"));\n      return;\n    }\n\n    setVerifyingConnectivity(true);\n    setConnectivityStatus({\n      status: \"checking\",\n      message: t(\"model.dialog.status.verifying\"),\n    });\n\n    try {\n      const modelType =\n        form.type === MODEL_TYPES.EMBEDDING && form.isMultimodal\n          ? (MODEL_TYPES.MULTI_EMBEDDING as ModelType)\n          : form.type;\n\n      // Use manage interface if tenantId is provided\n      if (tenantId) {\n        // Call backend healthcheck API for tenant management\n        const result = await modelService.checkManageTenantModelConnectivity(\n          tenantId,\n          form.displayName || form.name\n        );\n\n        // Set connectivity status\n        if (result) {\n          setConnectivityStatus({\n            status: \"available\",\n            message: t(\"model.dialog.connectivity.status.available\"),\n          });\n        } else {\n          setConnectivityStatus({\n            status: \"unavailable\",\n            message: t(\"model.dialog.connectivity.status.unavailable\"),\n          });\n        }\n      } else {\n        // Use local config verification for non-tenant operations\n        const config = {\n          modelName: form.name,\n          modelType: modelType,\n          baseUrl: form.url,\n          apiKey: form.apiKey.trim() === \"\" ? \"sk-no-api-key\" : form.apiKey,\n          maxTokens:\n            form.type === MODEL_TYPES.EMBEDDING\n              ? parseInt(form.vectorDimension)\n              : parseInt(form.maxTokens),\n          embeddingDim:\n            form.type === MODEL_TYPES.EMBEDDING\n              ? parseInt(form.vectorDimension)\n              : undefined,\n        };\n\n        const result = await modelService.verifyModelConfigConnectivity(config);\n\n        // Set connectivity status\n        if (result.connectivity) {\n          setConnectivityStatus({\n            status: \"available\",\n            message: t(\"model.dialog.connectivity.status.available\"),\n          });\n        } else {\n          // Set status to unavailable\n          setConnectivityStatus({\n            status: \"unavailable\",\n            message: t(\"model.dialog.connectivity.status.unavailable\"),\n          });\n          // Show detailed error message using internationalized component (same as add failure)\n          if (result.error) {\n            const translatedError = translateError(result.error, t);\n            // Ensure translatedError is a valid string, fallback to original error if needed\n            const errorText =\n              translatedError && translatedError.length > 0\n                ? translatedError\n                : result.error || \"Unknown error\";\n            message.error(\n              t(\"model.dialog.error.connectivityFailed\", { error: errorText })\n            );\n          }\n        }\n      }\n    } catch (error) {\n      const errorMessage =\n        error instanceof Error ? error.message : String(error);\n      setConnectivityStatus({\n        status: \"unavailable\",\n        message: t(\"model.dialog.connectivity.status.unavailable\"),\n      });\n      // Show error message using internationalized component (same as add failure)\n      const translatedError = translateError(\n        errorMessage || t(\"model.dialog.connectivity.status.unavailable\"),\n        t\n      );\n      // Ensure translatedError is a valid string\n      const errorText = translatedError\n        ? translatedError\n        : errorMessage || t(\"model.dialog.connectivity.status.unavailable\");\n      message.error(\n        t(\"model.dialog.error.connectivityFailed\", { error: errorText })\n      );\n    } finally {\n      setVerifyingConnectivity(false);\n    }\n  };\n\n  // Handle batch adding models\n  const handleBatchAddModel = async () => {\n    // Only include models whose id is in selectedModelIds (i.e., switch is ON)\n    const enabledModels = modelList.filter((model: any) =>\n      selectedModelIds.has(model.id)\n    );\n    const modelType =\n      form.type === MODEL_TYPES.EMBEDDING && form.isMultimodal\n        ? (MODEL_TYPES.MULTI_EMBEDDING as ModelType)\n        : form.type;\n    try {\n      const isEmbeddingType =\n        modelType === MODEL_TYPES.EMBEDDING ||\n        modelType === MODEL_TYPES.MULTI_EMBEDDING;\n\n      // Prepare the model data\n      const modelsData = enabledModels.map((model: any) => {\n        // For embedding/multi_embedding models, explicitly exclude max_tokens as backend will set it via connectivity check\n        if (isEmbeddingType) {\n          const { max_tokens, ...modelWithoutMaxTokens } = model;\n          return {\n            ...modelWithoutMaxTokens,\n            // Add chunk size range for embedding models\n            ...(isEmbeddingModel\n              ? {\n                  expected_chunk_size: form.chunkSizeRange[0],\n                  maximum_chunk_size: form.chunkSizeRange[1],\n                  chunk_batch: parseInt(form.chunkingBatchSize) || 10,\n                }\n              : {}),\n          };\n        } else {\n          return {\n            ...model,\n            max_tokens: model.max_tokens || parseInt(form.maxTokens) || 4096,\n          };\n        }\n      });\n\n      // Use manage interface if tenantId is provided (for super admin), otherwise use current tenant\n      if (tenantId) {\n        await modelService.batchCreateManageTenantModels({\n          tenantId,\n          provider: form.provider,\n          type: modelType,\n          apiKey: form.apiKey.trim() === \"\" ? \"sk-no-api-key\" : form.apiKey,\n          models: modelsData,\n        });\n      } else {\n        await modelService.addBatchCustomModel({\n          api_key: form.apiKey.trim() === \"\" ? \"sk-no-api-key\" : form.apiKey,\n          provider: form.provider,\n          type: modelType,\n          models: modelsData,\n        });\n      }\n\n      // Reset form state and close dialog on success\n      resetForm();\n      handleClose();\n\n      // Notify parent to refresh model list - batch add returns all added models\n      const addedModels: AddedModel[] = enabledModels.map((model: any) => ({\n        name: model.displayName || model.id,\n        type: modelType,\n      }));\n      await onSuccess(addedModels.length > 0 ? addedModels[0] : undefined);\n    } catch (error: any) {\n      const errorMessage =\n        error?.message || t(\"model.dialog.error.addFailedLog\");\n      const translatedError = translateError(errorMessage, t);\n      message.error(\n        t(\"model.dialog.error.addFailed\", { error: translatedError })\n      );\n    }\n  };\n\n  // Handle settings button click\n  const handleSettingsClick = (model: any) => {\n    setSelectedModelForSettings(model);\n    setModelMaxTokens(model.max_tokens?.toString() || \"4096\");\n    setSettingsModalVisible(true);\n  };\n\n  // Handle settings save\n  const handleSettingsSave = () => {\n    if (selectedModelForSettings) {\n      // Update the model in the list with new max_tokens\n      setModelList((prev) =>\n        prev.map((model) =>\n          model.id === selectedModelForSettings.id\n            ? { ...model, max_tokens: parseInt(modelMaxTokens) || 4096 }\n            : model\n        )\n      );\n    }\n    setSettingsModalVisible(false);\n    setSelectedModelForSettings(null);\n  };\n\n  // Handle adding a model\n  const handleAddModel = async () => {\n    // Check connectivity status before adding\n    if (!form.isBatchImport && connectivityStatus.status !== \"available\") {\n      message.warning(t(\"model.dialog.error.connectivityRequired\"));\n      return;\n    }\n\n    setLoading(true);\n    if (form.isBatchImport) {\n      await handleBatchAddModel();\n      setLoading(false);\n      return;\n    }\n    try {\n      const modelType =\n        form.type === MODEL_TYPES.EMBEDDING && form.isMultimodal\n          ? (MODEL_TYPES.MULTI_EMBEDDING as ModelType)\n          : form.type;\n\n      // Determine the maximum tokens value\n      let maxTokensValue = parseInt(form.maxTokens);\n      if (\n        form.type === MODEL_TYPES.EMBEDDING ||\n        form.type === MODEL_TYPES.MULTI_EMBEDDING\n      ) {\n        // For embedding models, use the vector dimension as maxTokens\n        maxTokensValue = 0;\n      }\n\n      // Add to the backend service - use manage interface if tenantId is provided\n      if (tenantId) {\n        await modelService.createManageTenantModel({\n          tenantId,\n          name: form.name,\n          type: modelType,\n          url: form.url,\n          apiKey: form.apiKey.trim() === \"\" ? \"sk-no-api-key\" : form.apiKey,\n          maxTokens: maxTokensValue,\n          displayName: form.displayName || form.name,\n          expectedChunkSize: isEmbeddingModel\n            ? form.chunkSizeRange[0]\n            : undefined,\n          maximumChunkSize: isEmbeddingModel\n            ? form.chunkSizeRange[1]\n            : undefined,\n          chunkingBatchSize: isEmbeddingModel\n            ? parseInt(form.chunkingBatchSize) || 10\n            : undefined,\n        });\n      } else {\n        await modelService.addCustomModel({\n          name: form.name,\n          type: modelType,\n          url: form.url,\n          apiKey: form.apiKey.trim() === \"\" ? \"sk-no-api-key\" : form.apiKey,\n          maxTokens: maxTokensValue,\n          displayName: form.displayName || form.name,\n          // Send chunk size range for embedding models\n          ...(isEmbeddingModel\n            ? {\n                expectedChunkSize: form.chunkSizeRange[0],\n                maximumChunkSize: form.chunkSizeRange[1],\n                chunkingBatchSize: parseInt(form.chunkingBatchSize) || 10,\n              }\n            : {}),\n        });\n      }\n\n      // Create the model configuration object\n      const modelConfig: SingleModelConfig = {\n        modelName: form.name,\n        displayName: form.displayName || form.name,\n        apiConfig: {\n          apiKey: form.apiKey,\n          modelUrl: form.url,\n        },\n      };\n\n      // Add the dimension field for embedding models\n      if (form.type === MODEL_TYPES.EMBEDDING) {\n        modelConfig.dimension = parseInt(form.vectorDimension);\n      }\n\n      // Update the local storage according to the model type\n      let configUpdate: any = {};\n\n      switch (modelType) {\n        case MODEL_TYPES.LLM:\n          configUpdate = { llm: modelConfig };\n          break;\n        case MODEL_TYPES.EMBEDDING:\n          configUpdate = { embedding: modelConfig };\n          break;\n        case MODEL_TYPES.MULTI_EMBEDDING:\n          configUpdate = { multiEmbedding: modelConfig };\n          break;\n        case MODEL_TYPES.VLM:\n          configUpdate = { vlm: modelConfig };\n          break;\n        case MODEL_TYPES.RERANK:\n          configUpdate = { rerank: modelConfig };\n          break;\n        case MODEL_TYPES.TTS:\n          configUpdate = { tts: modelConfig };\n          break;\n        case MODEL_TYPES.STT:\n          configUpdate = { stt: modelConfig };\n          break;\n      }\n\n      // Save to localStorage and persist to backend\n      updateModelConfig(configUpdate);\n      await persistModelConfig();\n\n      // Create the returned model information\n      const addedModel: AddedModel = {\n        name: form.displayName,\n        type: modelType,\n      };\n\n      // Reset form state\n      resetForm();\n\n      // Call the success callback, pass the new added model information\n      await onSuccess(addedModel);\n\n      // Close the dialog\n      handleClose();\n    } catch (error) {\n      const errorMessage =\n        error instanceof Error ? error.message : String(error);\n      const translatedError = translateError(errorMessage, t);\n      message.error(\n        t(\"model.dialog.error.addFailed\", { error: translatedError })\n      );\n      log.error(t(\"model.dialog.error.addFailedLog\"), error);\n    } finally {\n      setLoading(false);\n    }\n  };\n\n  const isEmbeddingModel = form.type === MODEL_TYPES.EMBEDDING;\n\n  return (\n    <Modal\n      title={t(\"model.dialog.title\")}\n      open={isOpen}\n      onCancel={handleClose}\n      footer={null}\n      destroyOnHidden\n    >\n      <div className=\"space-y-4\">\n        {/* Batch Import Switch */}\n        <div>\n          <div className=\"flex justify-between items-center\">\n            <label className=\"block text-sm font-medium text-gray-700\">\n              {t(\"model.dialog.label.batchImport\")}\n            </label>\n            <Switch\n              checked={form.isBatchImport}\n              onChange={(checked) => handleFormChange(\"isBatchImport\", checked)}\n            />\n          </div>\n          <div className=\"text-xs text-gray-500 mt-1\">\n            {form.isBatchImport\n              ? t(\"model.dialog.hint.batchImportEnabled\")\n              : t(\"model.dialog.hint.batchImportDisabled\")}\n          </div>\n        </div>\n\n        {/* Model Provider (shown only when batch import is enabled) */}\n        {form.isBatchImport && (\n          <div>\n            <label className=\"block mb-1 text-sm font-medium text-gray-700\">\n              {t(\"model.dialog.label.provider\")}\n              <span className=\"text-red-500\">*</span>\n            </label>\n            <Select\n              style={{ width: \"100%\" }}\n              value={form.provider}\n              onChange={(value) => handleFormChange(\"provider\", value)}\n            >\n              <Option value=\"modelengine\">\n                {t(\"model.provider.modelengine\")}\n              </Option>\n              <Option value=\"silicon\">{t(\"model.provider.silicon\")}</Option>\n              <Option value=\"dashscope\">{t(\"model.provider.dashscope\")}</Option>\n              <Option value=\"tokenpony\">{t(\"model.provider.tokenpony\")}</Option>\n            </Select>\n            {/* ModelEngine URL input (only when provider is ModelEngine) */}\n            {form.provider === \"modelengine\" && (\n              <div className=\"mt-3\">\n                <label className=\"block mb-1 text-sm font-medium text-gray-700\">\n                  ModelEngine URL\n                </label>\n                <Input\n                  placeholder={t(\"model.dialog.placeholder.modelEngineUrl\")}\n                  value={(form as any).modelEngineUrl}\n                  onChange={(e) =>\n                    handleFormChange(\"modelEngineUrl\", e.target.value)\n                  }\n                />\n              </div>\n            )}\n          </div>\n        )}\n\n        {/* Model Type */}\n        <div>\n          <label className=\"block mb-1 text-sm font-medium text-gray-700\">\n            {t(\"model.dialog.label.type\")}{\" \"}\n            <span className=\"text-red-500\">*</span>\n          </label>\n          <Select\n            style={{ width: \"100%\" }}\n            value={form.type}\n            onChange={(value) => handleFormChange(\"type\", value)}\n          >\n            <Option value={MODEL_TYPES.LLM}>{t(\"model.type.llm\")}</Option>\n            <Option value={MODEL_TYPES.EMBEDDING}>\n              {t(\"model.type.embedding\")}\n            </Option>\n            <Option value={MODEL_TYPES.VLM}>{t(\"model.type.vlm\")}</Option>\n            <Option value={MODEL_TYPES.RERANK} disabled>\n              {t(\"model.type.rerank\")}\n            </Option>\n            <Option value={MODEL_TYPES.STT} disabled>\n              {t(\"model.type.stt\")}\n            </Option>\n            <Option value={MODEL_TYPES.TTS} disabled>\n              {t(\"model.type.tts\")}\n            </Option>\n          </Select>\n        </div>\n\n        {/* Multimodal Switch */}\n        {isEmbeddingModel && !form.isBatchImport && (\n          <div>\n            <div className=\"flex justify-between items-center\">\n              <label className=\"block text-sm font-medium text-gray-700\">\n                {t(\"model.dialog.label.multimodal\")}\n              </label>\n              <Switch\n                checked={form.isMultimodal}\n                onChange={(checked) =>\n                  handleFormChange(\"isMultimodal\", checked)\n                }\n              />\n            </div>\n            <div className=\"text-xs text-gray-500 mt-1\">\n              {form.isMultimodal\n                ? t(\"model.dialog.hint.multimodalEnabled\")\n                : t(\"model.dialog.hint.multimodalDisabled\")}\n            </div>\n          </div>\n        )}\n\n        {/* Model Name */}\n        {!form.isBatchImport && (\n          <div>\n            <label\n              htmlFor=\"name\"\n              className=\"block mb-1 text-sm font-medium text-gray-700\"\n            >\n              {t(\"model.dialog.label.name\")}{\" \"}\n              <span className=\"text-red-500\">*</span>\n            </label>\n            <Input\n              id=\"name\"\n              placeholder={t(\"model.dialog.placeholder.name\")}\n              value={form.name}\n              onChange={handleModelNameChange}\n            />\n          </div>\n        )}\n\n        {/* Display Name */}\n        {!form.isBatchImport && (\n          <div>\n            <label\n              htmlFor=\"displayName\"\n              className=\"block mb-1 text-sm font-medium text-gray-700\"\n            >\n              {t(\"model.dialog.label.displayName\")}\n            </label>\n            <Input\n              id=\"displayName\"\n              placeholder={t(\"model.dialog.placeholder.displayName\")}\n              value={form.displayName}\n              onChange={(e) => handleFormChange(\"displayName\", e.target.value)}\n            />\n          </div>\n        )}\n\n        {/* Model URL */}\n        {!form.isBatchImport && (\n          <div>\n            <label\n              htmlFor=\"url\"\n              className=\"block mb-1 text-sm font-medium text-gray-700\"\n            >\n              {t(\"model.dialog.label.url\")}{\" \"}\n              <span className=\"text-red-500\">*</span>\n            </label>\n            <Input\n              id=\"url\"\n              placeholder={\n                form.type === MODEL_TYPES.EMBEDDING\n                  ? t(\"model.dialog.placeholder.url.embedding\")\n                  : t(\"model.dialog.placeholder.url\")\n              }\n              value={form.url}\n              onChange={(e) => handleFormChange(\"url\", e.target.value)}\n            />\n          </div>\n        )}\n\n        {/* API Key */}\n        <div>\n          <label\n            htmlFor=\"apiKey\"\n            className=\"block mb-1 text-sm font-medium text-gray-700\"\n          >\n            {t(\"model.dialog.label.apiKey\")}{\" \"}\n            {form.isBatchImport && <span className=\"text-red-500\">*</span>}\n          </label>\n          <Input.Password\n            id=\"apiKey\"\n            placeholder={t(\"model.dialog.placeholder.apiKey\")}\n            value={form.apiKey}\n            onChange={(e) => handleFormChange(\"apiKey\", e.target.value)}\n            autoComplete=\"new-password\"\n          />\n        </div>\n\n        {/* Chunk Size Slider (Embedding model only) */}\n        {isEmbeddingModel && (\n          <div>\n            <label className=\"block mb-1 text-sm font-medium text-gray-700\">\n              {t(\"modelConfig.slider.chunkingSize\")}\n            </label>\n            <ModelChunkSizeSlider\n              value={form.chunkSizeRange}\n              onChange={(value) => {\n                setForm((prev) => ({\n                  ...prev,\n                  chunkSizeRange: value,\n                }));\n              }}\n            />\n          </div>\n        )}\n\n        {/* Concurrent Request Count (Embedding model only) */}\n        {isEmbeddingModel && (\n          <div>\n            <label\n              htmlFor=\"chunkingBatchSize\"\n              className=\"block mb-1 text-sm font-medium text-gray-700\"\n            >\n              {t(\"modelConfig.input.chunkingBatchSize\")}\n            </label>\n            <Input\n              id=\"chunkingBatchSize\"\n              type=\"number\"\n              min=\"1\"\n              placeholder=\"10\"\n              value={form.chunkingBatchSize}\n              onChange={(e) =>\n                handleFormChange(\"chunkingBatchSize\", e.target.value)\n              }\n            />\n          </div>\n        )}\n\n        {/* Vector dimension */}\n        {isEmbeddingModel && (\n          <div>\n            <label\n              htmlFor=\"vectorDimension\"\n              className=\"block mb-1 text-sm font-medium text-gray-700\"\n            ></label>\n          </div>\n        )}\n\n        {/* Max Tokens */}\n        {!isEmbeddingModel && !form.isBatchImport && (\n          <div>\n            <label\n              htmlFor=\"maxTokens\"\n              className=\"block mb-1 text-sm font-medium text-gray-700\"\n            >\n              {t(\"model.dialog.label.maxTokens\")}\n            </label>\n            <Input\n              id=\"maxTokens\"\n              placeholder={t(\"model.dialog.placeholder.maxTokens\")}\n              value={form.maxTokens}\n              onChange={(e) => handleFormChange(\"maxTokens\", e.target.value)}\n            />\n          </div>\n        )}\n\n        {/* Connectivity verification area */}\n        {!form.isBatchImport && (\n          <div className=\"p-3 bg-gray-50 border border-gray-200 rounded-md\">\n            <div className=\"flex items-center justify-between\">\n              <div className=\"flex items-center\">\n                <span className=\"text-sm font-medium text-gray-700\">\n                  {t(\"model.dialog.connectivity.title\")}\n                </span>\n                {connectivityStatus.status && (\n                  <div className=\"ml-2 flex items-center\">\n                    {getConnectivityMeta(connectivityStatus.status).icon}\n                    <span\n                      className=\"ml-1 text-xs\"\n                      style={{\n                        color: getConnectivityMeta(connectivityStatus.status)\n                          .color,\n                      }}\n                    >\n                      {connectivityStatus.status === \"available\" &&\n                        t(\"model.dialog.connectivity.status.available\")}\n                      {connectivityStatus.status === \"unavailable\" &&\n                        t(\"model.dialog.connectivity.status.unavailable\")}\n                      {connectivityStatus.status === \"checking\" &&\n                        t(\"model.dialog.status.verifying\")}\n                    </span>\n                  </div>\n                )}\n              </div>\n              <Button\n                size=\"small\"\n                type=\"default\"\n                onClick={handleVerifyConnectivity}\n                disabled={!isFormValid() || verifyingConnectivity}\n              >\n                {verifyingConnectivity\n                  ? t(\"model.dialog.button.verifying\")\n                  : t(\"model.dialog.button.verify\")}\n              </Button>\n            </div>\n          </div>\n        )}\n\n        {/* Model List */}\n        {form.isBatchImport && (\n          <div className=\"p-3 bg-gray-50 border border-gray-200 rounded-md\">\n            <div className=\"flex items-center justify-between mb-1\">\n              <button\n                type=\"button\"\n                onClick={() => setShowModelList(!showModelList)}\n                className=\"flex items-center focus:outline-none\"\n              >\n                {showModelList ? (\n                  <ChevronDown\n                    className=\"text-sm text-gray-700 mr-1\"\n                    size={14}\n                  />\n                ) : (\n                  <ChevronRight\n                    className=\"text-sm text-gray-700 mr-1\"\n                    size={14}\n                  />\n                )}\n                <span className=\"text-sm font-medium text-gray-700\">\n                  {t(\"model.dialog.modelList.title\")}\n                </span>\n              </button>\n              <Button\n                size=\"small\"\n                type=\"default\"\n                onClick={getModelList}\n                disabled={!isFormValid() || loadingModelList}\n              >\n                {loadingModelList\n                  ? t(\"common.loading\")\n                  : t(\"model.dialog.button.modelList\")}\n              </Button>\n            </div>\n            {showModelList && (\n              <div className=\"mt-2 max-h-60 overflow-y-auto\">\n                {modelList.length > 0 && (\n                  <div className=\"sticky top-0 z-10 bg-gray-50 pb-2\">\n                    <Input\n                      allowClear\n                      size=\"small\"\n                      placeholder={t(\n                        \"model.dialog.modelList.searchPlaceholder\"\n                      )}\n                      value={modelSearchTerm}\n                      onChange={(event) =>\n                        setModelSearchTerm(event.target.value)\n                      }\n                    />\n                  </div>\n                )}\n                {loadingModelList ? (\n                  <div className=\"flex flex-col items-center justify-center py-4 text-xs text-gray-500\">\n                    <LoaderCircle\n                      className=\"animate-spin\"\n                      style={{\n                        fontSize: 18,\n                        color: \"#1890ff\",\n                        marginBottom: 4,\n                      }}\n                    />\n                    <span>{t(\"common.loading\") || \"获取中...\"}</span>\n                  </div>\n                ) : modelList.length === 0 ? (\n                  <div className=\"text-xs text-gray-500 text-center space-y-1\">\n                    <div>{t(\"model.dialog.message.noModels\")}</div>\n                  </div>\n                ) : filteredModelList.length === 0 ? (\n                  <div className=\"text-xs text-gray-500 text-center\">\n                    {t(\"model.dialog.modelList.noResults\")}\n                  </div>\n                ) : (\n                  filteredModelList.map((model: any) => {\n                    const checked = selectedModelIds.has(model.id);\n                    const toggleSelect = (value: boolean) => {\n                      setSelectedModelIds((prev) => {\n                        const next = new Set(prev);\n                        if (value) {\n                          next.add(model.id);\n                        } else {\n                          next.delete(model.id);\n                        }\n                        return next;\n                      });\n                    };\n                    return (\n                      <div\n                        key={model.id}\n                        className=\"p-2 flex justify-between items-center rounded hover:bg-gray-100 text-sm border border-transparent\"\n                      >\n                        <div className=\"flex items-center min-w-0\">\n                          <span className=\"truncate\" title={model.id}>\n                            {model.id}\n                          </span>\n                          {model.model_type && (\n                            <span className=\"ml-2 px-1.5 py-0.5 text-xs rounded bg-gray-200 text-gray-600 uppercase\">\n                              {String(model.model_tag)}\n                            </span>\n                          )}\n                        </div>\n                        <div className=\"flex items-center space-x-2\">\n                          {!isEmbeddingModel && (\n                            <Tooltip\n                              title={t(\n                                \"model.dialog.modelList.tooltip.settings\"\n                              )}\n                            >\n                              <Button\n                                type=\"text\"\n                                icon={<Settings size={14} />}\n                                size=\"small\"\n                                onClick={(e) => {\n                                  e.stopPropagation(); // Prevent switch toggle\n                                  handleSettingsClick(model);\n                                }}\n                              />\n                            </Tooltip>\n                          )}\n                          <Switch\n                            size=\"small\"\n                            checked={checked}\n                            onChange={toggleSelect}\n                          />\n                        </div>\n                      </div>\n                    );\n                  })\n                )}\n              </div>\n            )}\n            {connectivityStatus.message && !showModelList && (\n              <div className=\"text-xs text-gray-600\">\n                {connectivityStatus.message}\n              </div>\n            )}\n          </div>\n        )}\n\n        {/* Help Text */}\n        <div className=\"p-3 bg-blue-50 border border-blue-100 rounded-md text-xs text-blue-700\">\n          <div>\n            <div className=\"flex items-center mb-1\">\n              <InfoCircleFilled className=\"text-md text-blue-500 mr-3\" />\n              <p className=\"font-bold text-medium\">\n                {t(\"model.dialog.help.title\")}\n              </p>\n            </div>\n            <div className=\"mt-0.5 ml-6\">\n              {(form.isBatchImport\n                ? t(\"model.dialog.help.content.batchImport\")\n                : t(\"model.dialog.help.content\")\n              )\n                .split(\"\\n\")\n                .map((line, index) => {\n                  // Parse Markdown-style links: [text](url)\n                  const markdownLinkRegex = /\\[([^\\]]+)\\]\\(([^)]+)\\)/g;\n                  const parts: (string | { text: string; url: string })[] = [];\n                  let lastIndex = 0;\n                  let match;\n\n                  while ((match = markdownLinkRegex.exec(line)) !== null) {\n                    // Add text before the link\n                    if (match.index > lastIndex) {\n                      parts.push(line.substring(lastIndex, match.index));\n                    }\n                    // Add the link object\n                    parts.push({ text: match[1], url: match[2] });\n                    lastIndex = match.index + match[0].length;\n                  }\n\n                  // Add remaining text after the last link\n                  if (lastIndex < line.length) {\n                    parts.push(line.substring(lastIndex));\n                  }\n\n                  // If no links found, just add the whole line\n                  if (parts.length === 0) {\n                    parts.push(line);\n                  }\n\n                  return (\n                    <p key={index} className={index > 0 ? \"mt-1\" : \"\"}>\n                      {parts.map((part, partIndex) => {\n                        if (typeof part === \"object\") {\n                          return (\n                            <a\n                              key={partIndex}\n                              href={part.url}\n                              target=\"_blank\"\n                              rel=\"noopener noreferrer\"\n                              className=\"text-blue-600 hover:text-blue-800 underline\"\n                            >\n                              {part.text}\n                            </a>\n                          );\n                        }\n                        return <span key={partIndex}>{part}</span>;\n                      })}\n                    </p>\n                  );\n                })}\n            </div>\n            <div className=\"mt-2 ml-6 flex items-center\">\n              <span>{t(\"model.dialog.label.currentlySupported\")}</span>\n              <Tooltip title=\"ModelEngine\">\n                <a\n                  href={PROVIDER_LINKS.modelengine}\n                  target=\"_blank\"\n                  rel=\"noopener noreferrer\"\n                >\n                  <img\n                    src=\"/modelengine-logo.png\"\n                    alt=\"ModelEngine\"\n                    className=\"h-4 ml-1.5 cursor-pointer\"\n                  />\n                </a>\n              </Tooltip>\n              {form.isBatchImport && (\n                <Tooltip title=\"SiliconFlow\">\n                  <a\n                    href={PROVIDER_LINKS.siliconflow}\n                    target=\"_blank\"\n                    rel=\"noopener noreferrer\"\n                  >\n                    <img\n                      src=\"/siliconflow.png\"\n                      alt=\"SiliconFlow\"\n                      className=\"h-4 ml-1.5 cursor-pointer\"\n                    />\n                  </a>\n                </Tooltip>\n              )}\n              {form.type === \"llm\" && !form.isBatchImport && (\n                <>\n                  <Tooltip title=\"OpenAI\">\n                    <a\n                      href={PROVIDER_LINKS.openai}\n                      target=\"_blank\"\n                      rel=\"noopener noreferrer\"\n                    >\n                      <img\n                        src=\"/openai.png\"\n                        alt=\"OpenAI\"\n                        className=\"h-4 ml-1.5 cursor-pointer\"\n                      />\n                    </a>\n                  </Tooltip>\n                  <Tooltip title=\"Kimi\">\n                    <a\n                      href={PROVIDER_LINKS.kimi}\n                      target=\"_blank\"\n                      rel=\"noopener noreferrer\"\n                    >\n                      <img\n                        src=\"/kimi.png\"\n                        alt=\"Kimi\"\n                        className=\"h-4 ml-1.5 cursor-pointer\"\n                      />\n                    </a>\n                  </Tooltip>\n                  <Tooltip title=\"Deepseek\">\n                    <a\n                      href={PROVIDER_LINKS.deepseek}\n                      target=\"_blank\"\n                      rel=\"noopener noreferrer\"\n                    >\n                      <img\n                        src=\"/deepseek.png\"\n                        alt=\"Deepseek\"\n                        className=\"h-4 ml-1.5 cursor-pointer\"\n                      />\n                    </a>\n                  </Tooltip>\n                  <Tooltip title=\"Qwen\">\n                    <a\n                      href={PROVIDER_LINKS.qwen}\n                      target=\"_blank\"\n                      rel=\"noopener noreferrer\"\n                    >\n                      <img\n                        src=\"/qwen.png\"\n                        alt=\"Qwen\"\n                        className=\"h-4 ml-1.5 cursor-pointer\"\n                      />\n                    </a>\n                  </Tooltip>\n                  <span className=\"ml-1.5\">...</span>\n                </>\n              )}\n              {form.type === \"embedding\" && !form.isBatchImport && (\n                <>\n                  <Tooltip title=\"OpenAI\">\n                    <a\n                      href={PROVIDER_LINKS.openai}\n                      target=\"_blank\"\n                      rel=\"noopener noreferrer\"\n                    >\n                      <img\n                        src=\"/openai.png\"\n                        alt=\"OpenAI\"\n                        className=\"h-4 ml-1.5 cursor-pointer\"\n                      />\n                    </a>\n                  </Tooltip>\n                  <Tooltip title=\"Qwen\">\n                    <a\n                      href={PROVIDER_LINKS.qwen}\n                      target=\"_blank\"\n                      rel=\"noopener noreferrer\"\n                    >\n                      <img\n                        src=\"/qwen.png\"\n                        alt=\"Qwen\"\n                        className=\"h-4 ml-1.5 cursor-pointer\"\n                      />\n                    </a>\n                  </Tooltip>\n                  <Tooltip title=\"Jina\">\n                    <a\n                      href={PROVIDER_LINKS.jina}\n                      target=\"_blank\"\n                      rel=\"noopener noreferrer\"\n                    >\n                      <img\n                        src=\"/jina.png\"\n                        alt=\"Jina\"\n                        className=\"h-4 ml-1.5 cursor-pointer\"\n                      />\n                    </a>\n                  </Tooltip>\n                  <Tooltip title=\"Baai\">\n                    <a\n                      href={PROVIDER_LINKS.baai}\n                      target=\"_blank\"\n                      rel=\"noopener noreferrer\"\n                    >\n                      <img\n                        src=\"/baai.png\"\n                        alt=\"Baai\"\n                        className=\"h-4 ml-1.5 cursor-pointer\"\n                      />\n                    </a>\n                  </Tooltip>\n                  <span className=\"ml-1.5\">...</span>\n                </>\n              )}\n              {form.type === \"vlm\" && !form.isBatchImport && (\n                <>\n                  <Tooltip title=\"Qwen\">\n                    <a\n                      href={PROVIDER_LINKS.qwen}\n                      target=\"_blank\"\n                      rel=\"noopener noreferrer\"\n                    >\n                      <img\n                        src=\"/qwen.png\"\n                        alt=\"Qwen\"\n                        className=\"h-4 ml-1.5 cursor-pointer\"\n                      />\n                    </a>\n                  </Tooltip>\n                  <Tooltip title=\"Deepseek\">\n                    <a\n                      href={PROVIDER_LINKS.deepseek}\n                      target=\"_blank\"\n                      rel=\"noopener noreferrer\"\n                    >\n                      <img\n                        src=\"/deepseek.png\"\n                        alt=\"Deepseek\"\n                        className=\"h-4 ml-1.5 cursor-pointer\"\n                      />\n                    </a>\n                  </Tooltip>\n                  <span className=\"ml-1.5\">...</span>\n                </>\n              )}\n            </div>\n          </div>\n        </div>\n\n        {/* Footer Buttons */}\n        <div className=\"flex justify-end space-x-3\">\n          <Button onClick={handleClose}>{t(\"common.button.cancel\")}</Button>\n          <Button\n            type=\"primary\"\n            onClick={handleAddModel}\n            disabled={\n              !isFormValid() ||\n              (!form.isBatchImport && connectivityStatus.status !== \"available\")\n            }\n            loading={loading}\n          >\n            {t(\"model.dialog.button.add\")}\n          </Button>\n        </div>\n      </div>\n\n      {/* Settings Modal */}\n      <Modal\n        title={t(\"model.dialog.settings.title\")}\n        open={settingsModalVisible}\n        onCancel={() => setSettingsModalVisible(false)}\n        onOk={handleSettingsSave}\n        cancelText={t(\"common.cancel\")}\n        okText={t(\"common.confirm\")}\n        destroyOnHidden\n      >\n        <div className=\"space-y-3\">\n          <div>\n            <label className=\"block mb-1 text-sm font-medium text-gray-700\">\n              {t(\"model.dialog.settings.label.maxTokens\")}\n            </label>\n            <Input\n              type=\"number\"\n              value={modelMaxTokens}\n              onChange={(e) => setModelMaxTokens(e.target.value)}\n              placeholder={t(\"model.dialog.placeholder.maxTokens\")}\n            />\n          </div>\n        </div>\n      </Modal>\n    </Modal>\n  );\n};\n"
  },
  {
    "path": "frontend/app/[locale]/models/components/model/ModelChunkSizeSilder.tsx",
    "content": "import { Slider } from \"antd\";\nimport { useTranslation } from \"react-i18next\";\n\n// Default chunk size values (matching backend defaults)\nexport const DEFAULT_EXPECTED_CHUNK_SIZE = 1024;\nexport const DEFAULT_MAXIMUM_CHUNK_SIZE = 1536;\n\ninterface ModelChunkSizeSliderProps {\n  value: [number, number];\n  onChange: (value: [number, number]) => void;\n  disabled?: boolean;\n}\n\nexport const ModelChunkSizeSlider = ({\n  value,\n  onChange,\n  disabled = false,\n}: ModelChunkSizeSliderProps) => {\n  const { t } = useTranslation();\n  // Build dynamic marks to avoid overlap when handles are close\n  const getChunkSizeMarks = (): Record<number, React.ReactNode> => {\n    const [left, right] = value;\n    const distance = right - left;\n    // If handles are close, render a single combined label at the midpoint\n    if (distance <= 128) {\n      const mid = Math.round((left + right) / 2);\n      return { [mid]: `${left} - ${right}` };\n    }\n    // Otherwise render two separate labels\n    return {\n      [left]: `${left}`,\n      [right]: `${right}`,\n    };\n  };\n\n  return (\n    <Slider\n      range\n      min={128}\n      max={4096}\n      marks={getChunkSizeMarks()}\n      step={128}\n      value={value}\n      onChange={(sliderValue) => {\n        if (Array.isArray(sliderValue) && sliderValue.length === 2) {\n          onChange([sliderValue[0], sliderValue[1]] as [number, number]);\n        }\n      }}\n      disabled={disabled}\n      tooltip={{\n        formatter: (val?: number) => {\n          if (val === undefined) return \"\";\n          const [left, right] = value;\n          if (val === left) return `${t(\"modelConfig.slider.expectedChunkSize\")}: ${val}`;\n          if (val === right) return `${t(\"modelConfig.slider.maximumChunkSize\")}: ${val}`;\n          return `${val}`;\n        },\n      }}\n    />\n  );\n};\n\n"
  },
  {
    "path": "frontend/app/[locale]/models/components/model/ModelDeleteDialog.tsx",
    "content": "import { useMemo, useState } from \"react\";\nimport { useTranslation } from \"react-i18next\";\n\nimport { Modal, Button, Switch, App, Tooltip, Input } from \"antd\";\nimport { Trash, ChevronRight, RefreshCw, Settings } from \"lucide-react\";\nimport { ExclamationCircleFilled } from \"@ant-design/icons\";\n\nimport { MODEL_TYPES, MODEL_SOURCES } from \"@/const/modelConfig\";\nimport { useConfig } from \"@/hooks/useConfig\";\nimport { modelService } from \"@/services/modelService\";\nimport { ModelOption, ModelType, ModelSource } from \"@/types/modelConfig\";\nimport log from \"@/lib/logger\";\n\nimport { ModelEditDialog, ProviderConfigEditDialog } from \"./ModelEditDialog\";\nimport {\n  ModelChunkSizeSlider,\n  DEFAULT_EXPECTED_CHUNK_SIZE,\n  DEFAULT_MAXIMUM_CHUNK_SIZE,\n} from \"./ModelChunkSizeSilder\";\n\ninterface ModelDeleteDialogProps {\n  isOpen: boolean;\n  onClose: () => void;\n  onSuccess: () => Promise<void>;\n  models: ModelOption[];\n}\n\nexport const ModelDeleteDialog = ({\n  isOpen,\n  onClose,\n  onSuccess,\n  models,\n}: ModelDeleteDialogProps) => {\n  const { t } = useTranslation();\n  const { message } = App.useApp();\n  const { modelConfig, updateModelConfig } = useConfig();\n  const [deletingModelType, setDeletingModelType] = useState<ModelType | null>(\n    null\n  );\n  const [selectedSource, setSelectedSource] = useState<ModelSource | null>(\n    null\n  );\n  const [deletingModels, setDeletingModels] = useState<Set<string>>(new Set());\n  const [editModel, setEditModel] = useState<ModelOption | null>(null);\n  const [providerModels, setProviderModels] = useState<any[]>([]);\n  const [pendingSelectedProviderIds, setPendingSelectedProviderIds] = useState<\n    Set<string>\n  >(new Set());\n  const [loadingSource, setLoadingSource] = useState<ModelSource | null>(null);\n  const [isProviderConfigOpen, setIsProviderConfigOpen] =\n    useState<boolean>(false);\n  const [isConfirmLoading, setIsConfirmLoading] = useState<boolean>(false);\n  const [maxTokens, setMaxTokens] = useState<number>(0);\n\n  // Settings modal state\n  const [settingsModalVisible, setSettingsModalVisible] = useState(false);\n  const [selectedModelForSettings, setSelectedModelForSettings] =\n    useState<any>(null);\n  const [modelMaxTokens, setModelMaxTokens] = useState(\"4096\");\n  const [providerModelSearchTerm, setProviderModelSearchTerm] = useState(\"\");\n\n  // Embedding model chunk config modal state\n  const [embeddingConfigModalVisible, setEmbeddingConfigModalVisible] =\n    useState(false);\n  const [selectedEmbeddingModel, setSelectedEmbeddingModel] =\n    useState<ModelOption | null>(null);\n  const [chunkSizeRange, setChunkSizeRange] = useState<[number, number]>([\n    DEFAULT_EXPECTED_CHUNK_SIZE,\n    DEFAULT_MAXIMUM_CHUNK_SIZE,\n  ]);\n  const [chunkingBatchSize, setChunkingBatchSize] = useState(\"10\");\n  const [savingEmbeddingConfig, setSavingEmbeddingConfig] = useState(false);\n\n  // Get model color scheme\n  const getModelColorScheme = (\n    type: ModelType\n  ): { bg: string; text: string; border: string } => {\n    switch (type) {\n      case MODEL_TYPES.LLM:\n        return {\n          bg: \"bg-blue-50\",\n          text: \"text-blue-600\",\n          border: \"border-blue-100\",\n        };\n      case MODEL_TYPES.EMBEDDING:\n        return {\n          bg: \"bg-green-50\",\n          text: \"text-green-600\",\n          border: \"border-green-100\",\n        };\n      case MODEL_TYPES.MULTI_EMBEDDING:\n        return {\n          bg: \"bg-teal-50\",\n          text: \"text-teal-600\",\n          border: \"border-teal-100\",\n        };\n      case MODEL_TYPES.RERANK:\n        return {\n          bg: \"bg-purple-50\",\n          text: \"text-purple-600\",\n          border: \"border-purple-100\",\n        };\n      case MODEL_TYPES.VLM:\n        return {\n          bg: \"bg-yellow-50\",\n          text: \"text-yellow-600\",\n          border: \"border-yellow-100\",\n        };\n      case MODEL_TYPES.STT:\n        return {\n          bg: \"bg-red-50\",\n          text: \"text-red-600\",\n          border: \"border-red-100\",\n        };\n      case MODEL_TYPES.TTS:\n        return {\n          bg: \"bg-pink-50\",\n          text: \"text-pink-600\",\n          border: \"border-pink-100\",\n        };\n      default:\n        return {\n          bg: \"bg-gray-50\",\n          text: \"text-gray-600\",\n          border: \"border-gray-100\",\n        };\n    }\n  };\n\n  // Get model icon\n  const getModelIcon = (type: ModelType) => {\n    switch (type) {\n      case MODEL_TYPES.LLM:\n        return \"🤖\";\n      case MODEL_TYPES.EMBEDDING:\n        return \"🔢\";\n      case MODEL_TYPES.MULTI_EMBEDDING:\n        return \"🖼️🔢\";\n      case MODEL_TYPES.RERANK:\n        return \"🔍\";\n      case MODEL_TYPES.STT:\n        return \"🎤\";\n      case MODEL_TYPES.TTS:\n        return \"🔊\";\n      case MODEL_TYPES.VLM:\n        return \"👁️\";\n      default:\n        return \"⚙️\";\n    }\n  };\n\n  // Get model display name\n  const getModelTypeName = (type: ModelType | null): string => {\n    if (!type) return t(\"model.type.unknown\");\n    switch (type) {\n      case MODEL_TYPES.LLM:\n        return t(\"model.type.llm\");\n      case MODEL_TYPES.EMBEDDING:\n        return t(\"model.type.embedding\");\n      case MODEL_TYPES.MULTI_EMBEDDING:\n        return t(\"model.type.multiEmbedding\");\n      case MODEL_TYPES.RERANK:\n        return t(\"model.type.rerank\");\n      case MODEL_TYPES.STT:\n        return t(\"model.type.stt\");\n      case MODEL_TYPES.TTS:\n        return t(\"model.type.tts\");\n      case MODEL_TYPES.VLM:\n        return t(\"model.type.vlm\");\n      default:\n        return t(\"model.type.unknown\");\n    }\n  };\n\n  // Get source display name\n  const getSourceName = (source: ModelSource): string => {\n    switch (source) {\n      case MODEL_SOURCES.OPENAI:\n        return t(\"model.source.openai\");\n      case MODEL_SOURCES.SILICON:\n        return t(\"model.source.silicon\");\n      case MODEL_SOURCES.MODELENGINE:\n        return t(\"model.source.modelEngine\");\n      case MODEL_SOURCES.OPENAI_API_COMPATIBLE:\n        return t(\"model.source.custom\");\n      case MODEL_SOURCES.DASHSCOPE:\n        return t(\"model.source.dashscope\");\n      case MODEL_SOURCES.TOKENPONY:\n        return t(\"model.source.tokenpony\");\n      default:\n        return t(\"model.source.unknown\");\n    }\n  };\n\n  // Get source color scheme\n  const getSourceColorScheme = (\n    source: ModelSource\n  ): { bg: string; text: string; border: string } => {\n    switch (source) {\n      case MODEL_SOURCES.SILICON:\n        return {\n          bg: \"bg-purple-50\",\n          text: \"text-purple-600\",\n          border: \"border-purple-100\",\n        };\n      case MODEL_SOURCES.MODELENGINE:\n        return {\n          bg: \"bg-blue-50\",\n          text: \"text-blue-600\",\n          border: \"border-blue-100\",\n        };\n      case MODEL_SOURCES.OPENAI:\n        return {\n          bg: \"bg-indigo-50\",\n          text: \"text-indigo-600\",\n          border: \"border-indigo-100\",\n        };\n      case MODEL_SOURCES.OPENAI_API_COMPATIBLE:\n        return {\n          bg: \"bg-rose-50\",\n          text: \"text-rose-600\",\n          border: \"border-rose-100\",\n        };\n      case MODEL_SOURCES.DASHSCOPE:\n        return {\n          bg: \"bg-orange-50\",\n          text: \"text-orange-600\",\n          border: \"border-orange-100\",\n        };\n      case MODEL_SOURCES.TOKENPONY:\n        return {\n          bg: \"bg-cyan-50\",\n          text: \"text-cyan-600\",\n          border: \"border-cyan-100\",\n        };\n      default:\n        return {\n          bg: \"bg-gray-50\",\n          text: \"text-gray-600\",\n          border: \"border-gray-100\",\n        };\n    }\n  };\n\n  // Get source icon\n  const getSourceIcon = (source: ModelSource): JSX.Element => {\n    switch (source) {\n      case MODEL_SOURCES.SILICON:\n        return (\n          <img src=\"/siliconflow.png\" alt=\"SiliconFlow\" className=\"w-5 h-5\" />\n        );\n      case MODEL_SOURCES.MODELENGINE:\n        return (\n          <img\n            src=\"/modelengine-logo.png\"\n            alt=\"ModelEngine\"\n            className=\"w-5 h-5\"\n          />\n        );\n      case MODEL_SOURCES.OPENAI:\n        return (\n          <span role=\"img\" aria-label=\"openai\">\n            🏷️\n          </span>\n        );\n      case MODEL_SOURCES.OPENAI_API_COMPATIBLE:\n        return (\n          <span role=\"img\" aria-label=\"custom\">\n            🛠️\n          </span>\n        );\n      case MODEL_SOURCES.DASHSCOPE:\n        return (\n          <img src=\"/aliyuncs.png\" alt=\"DashScope\" className=\"w-5 h-5\" />\n        );\n      case MODEL_SOURCES.TOKENPONY:\n        return (\n          <img src=\"/tokenpony.png\" alt=\"TokenPony\" className=\"w-5 h-5\" />\n        );\n      default:\n        return (\n          <span role=\"img\" aria-label=\"box\">\n            📦\n          </span>\n        );\n    }\n  };\n\n  // Get API key by model type, optionally scoped to a provider\n  const getApiKeyByType = (\n    type: ModelType | null,\n    provider?: ModelSource\n  ): string => {\n    if (!type) return \"\";\n\n    // If a provider is specified, return the first model for that provider+type\n    if (provider) {\n      const byProvider = models.find(\n        (m) => m.source === provider && m.type === type && m.apiKey\n      );\n      if (byProvider?.apiKey) return byProvider.apiKey;\n    }\n\n    // Prefer provider entries in order: Silicon, ModelEngine\n    const bySilicon = models.find(\n      (m) => m.source === MODEL_SOURCES.SILICON && m.type === type && m.apiKey\n    );\n    if (bySilicon?.apiKey) return bySilicon.apiKey;\n\n    const byModelEngine = models.find(\n      (m) => m.source === MODEL_SOURCES.MODELENGINE && m.type === type && m.apiKey\n    );\n    if (byModelEngine?.apiKey) return byModelEngine.apiKey;\n\n    const byDashScope = models.find(\n      (m) => m.source === MODEL_SOURCES.DASHSCOPE && m.type === type && m.apiKey\n    );\n    if (byDashScope?.apiKey) return byDashScope.apiKey;\n\n    const byTokenPony = models.find(\n      (m) => m.source === MODEL_SOURCES.TOKENPONY && m.type === type && m.apiKey\n    );\n    if (byTokenPony?.apiKey) return byTokenPony.apiKey;\n\n    // Fallback: any model that has apiKey\n    const anyWithKey = models.find((m) => m.apiKey);\n    return anyWithKey?.apiKey || \"\";\n  };\n\n  // Get provider base URL by model type (prefer ModelEngine entries)\n  const getProviderBaseUrlByType = (type: ModelType | null): string | undefined => {\n    if (!type) return undefined;\n    // Prefer provider entries (ModelEngine) first, then explicit modelConfig, then any model\n    const engineModel = models.find(\n      (m) => m.source === MODEL_SOURCES.MODELENGINE && m.type === type && m.apiUrl\n    );\n    if (engineModel?.apiUrl) return engineModel.apiUrl;\n\n    try {\n      if (type === MODEL_TYPES.EMBEDDING) {\n        const cfgUrl = modelConfig?.embedding?.apiConfig?.modelUrl;\n        if (cfgUrl && cfgUrl.trim() !== \"\") return cfgUrl;\n      }\n      if (type === MODEL_TYPES.MULTI_EMBEDDING) {\n        const cfgUrl = modelConfig?.multiEmbedding?.apiConfig?.modelUrl;\n        if (cfgUrl && cfgUrl.trim() !== \"\") return cfgUrl;\n      }\n      if (type === MODEL_TYPES.VLM) {\n        const cfgUrl = modelConfig?.vlm?.apiConfig?.modelUrl;\n        if (cfgUrl && cfgUrl.trim() !== \"\") return cfgUrl;\n      }\n      if (type === MODEL_TYPES.LLM) {\n        const cfgUrl = modelConfig?.llm?.apiConfig?.modelUrl;\n        if (cfgUrl && cfgUrl.trim() !== \"\") return cfgUrl;\n      }\n    } catch (e) {\n      // ignore and continue\n    }\n\n    const anyModelWithUrl = models.find((m) => m.apiUrl);\n    return anyModelWithUrl?.apiUrl || undefined;\n  };\n\n  // Prefetch provider model list (supports Silicon, ModelEngine, DashScope, TokenPony)\n  const prefetchProviderModels = async (\n    provider: ModelSource,\n    modelType: ModelType | null\n  ): Promise<void> => {\n    if (!modelType) return;\n    try {\n      let result: any[] = [];\n      if (provider === MODEL_SOURCES.SILICON) {\n        const apiKey = getApiKeyByType(modelType, MODEL_SOURCES.SILICON);\n        result = await modelService.addProviderModel({\n          provider: MODEL_SOURCES.SILICON,\n          type: modelType,\n          apiKey: apiKey && apiKey.trim() !== \"\" ? apiKey : \"sk-no-api-key\",\n        });\n      } else if (provider === MODEL_SOURCES.MODELENGINE) {\n        const apiKey = getApiKeyByType(modelType, MODEL_SOURCES.MODELENGINE);\n        const baseUrl = getProviderBaseUrlByType(modelType);\n        result = await modelService.addProviderModel({\n          provider: MODEL_SOURCES.MODELENGINE,\n          type: modelType,\n          apiKey: apiKey && apiKey.trim() !== \"\" ? apiKey : \"sk-no-api-key\",\n          baseUrl: baseUrl || undefined,\n        });\n      } else if (provider === MODEL_SOURCES.DASHSCOPE) {\n        const apiKey = getApiKeyByType(modelType, MODEL_SOURCES.DASHSCOPE);\n        result = await modelService.addProviderModel({\n          provider: MODEL_SOURCES.DASHSCOPE,\n          type: modelType,\n          apiKey: apiKey && apiKey.trim() !== \"\" ? apiKey : \"sk-no-api-key\",\n        });\n      } else if (provider === MODEL_SOURCES.TOKENPONY) {\n        const apiKey = getApiKeyByType(modelType, MODEL_SOURCES.TOKENPONY);\n        result = await modelService.addProviderModel({\n          provider: MODEL_SOURCES.TOKENPONY,\n          type: modelType,\n          apiKey: apiKey && apiKey.trim() !== \"\" ? apiKey : \"sk-no-api-key\",\n        });\n      } else {\n        // Unsupported provider for prefetching\n        return;\n      }\n\n      setProviderModels(result || []);\n      // Initialize pending selected switch states (based on current models status)\n      const currentIds = new Set(\n        models\n          .filter((m) => m.type === modelType && m.source === provider)\n          .map((m) => m.name)\n      );\n      setPendingSelectedProviderIds(\n        new Set(\n          (result || [])\n            .map((pm: any) => pm.id)\n            .filter((id: string) => currentIds.has(id))\n        )\n      );\n      if (!result || result.length === 0) {\n        message.error(t(\"model.dialog.error.noModelsFetched\"));\n      }\n    } catch (e) {\n      message.error(t(\"model.dialog.error.noModelsFetched\"));\n      log.error(\"Failed to prefetch provider models\", e);\n    }\n  };\n\n  // Handle source selection\n  const handleSourceSelect = async (source: ModelSource) => {\n    setLoadingSource(source);\n    try {\n      if (\n        source === MODEL_SOURCES.SILICON ||\n        source === MODEL_SOURCES.MODELENGINE ||\n        source === MODEL_SOURCES.DASHSCOPE ||\n        source === MODEL_SOURCES.TOKENPONY\n      ) {\n        await prefetchProviderModels(source, deletingModelType);\n      } else if (source === MODEL_SOURCES.OPENAI) {\n        // For OpenAI source, just set the selected source without prefetching\n        // TODO: Call the relevant API to fetch OpenAI models\n        setSelectedSource(source);\n        return;\n      }\n    } finally {\n      setLoadingSource(null);\n    }\n    setSelectedSource(source);\n    setProviderModelSearchTerm(\"\");\n  };\n\n  const handleEditModel = (model: ModelOption) => {\n    setEditModel(model);\n  };\n\n  // Handle model deletion\n  const handleDeleteModel = async (displayName: string, provider?: ModelSource) => {\n    setDeletingModels((prev) => new Set(prev).add(displayName));\n    try {\n      // Prefer explicit provider passed in, fall back to selectedSource\n      await modelService.deleteCustomModel(\n        displayName,\n        provider || selectedSource || undefined\n      );\n      let configUpdates: any = {};\n\n      // Check each model configuration, if currently using a deleted model, clear the configuration\n      if (modelConfig.llm.displayName === displayName) {\n        configUpdates.llm = {\n          modelName: \"\",\n          displayName: \"\",\n          apiConfig: { apiKey: \"\", modelUrl: \"\" },\n        };\n      }\n\n      if (modelConfig.embedding.displayName === displayName) {\n        configUpdates.embedding = {\n          modelName: \"\",\n          displayName: \"\",\n          apiConfig: { apiKey: \"\", modelUrl: \"\" },\n        };\n      }\n\n      if (modelConfig.multiEmbedding.displayName === displayName) {\n        configUpdates.multiEmbedding = {\n          modelName: \"\",\n          displayName: \"\",\n          apiConfig: { apiKey: \"\", modelUrl: \"\" },\n        };\n      }\n\n      if (modelConfig.rerank.displayName === displayName) {\n        configUpdates.rerank = { modelName: \"\", displayName: \"\" };\n      }\n\n      if (modelConfig.vlm.displayName === displayName) {\n        configUpdates.vlm = {\n          modelName: \"\",\n          displayName: \"\",\n          apiConfig: { apiKey: \"\", modelUrl: \"\" },\n        };\n      }\n\n      if (modelConfig.stt.displayName === displayName) {\n        configUpdates.stt = { modelName: \"\", displayName: \"\" };\n      }\n\n      if (modelConfig.tts.displayName === displayName) {\n        configUpdates.tts = { modelName: \"\", displayName: \"\" };\n      }\n\n      // If there are configurations to update, update localStorage\n      if (Object.keys(configUpdates).length > 0) {\n        updateModelConfig(configUpdates);\n      }\n\n      // Show success message\n      message.success(t(\"model.message.deleteSuccess\", { name: displayName }));\n\n      // Directly call parent component's onSuccess callback to refresh model list\n      // This triggers a modelService.getCustomModels() call, avoiding duplicate requests\n      await onSuccess();\n\n      // Adjust hierarchical navigation based on remaining count after deletion\n      if (deletingModelType) {\n        const remainingByTypeAndSource = models.filter(\n          (model) =>\n            model.type === deletingModelType &&\n            (!selectedSource || model.source === selectedSource) &&\n            model.displayName !== displayName\n        );\n        if (selectedSource && remainingByTypeAndSource.length === 0) {\n          // No models under current source, return to source selection\n          setSelectedSource(null);\n        }\n        const remainingByType = models.filter(\n          (model) =>\n            model.type === deletingModelType &&\n            model.displayName !== displayName\n        );\n        if (remainingByType.length === 0) {\n          setDeletingModelType(null);\n        }\n      }\n    } catch (error) {\n      log.error(t(\"model.error.deleteError\"), error);\n      message.error(t(\"model.message.deleteFailed\", { name: displayName }));\n    } finally {\n      setDeletingModels((prev) => {\n        const next = new Set(prev);\n        next.delete(displayName);\n        return next;\n      });\n    }\n  };\n\n  // Handle closing dialog\n  const handleClose = () => {\n    setDeletingModelType(null);\n    setSelectedSource(null);\n    setProviderModels([]);\n    setPendingSelectedProviderIds(new Set());\n    setMaxTokens(0);\n    setProviderModelSearchTerm(\"\");\n    onClose();\n  };\n  const filteredProviderModels = useMemo(() => {\n    const keyword = providerModelSearchTerm.trim().toLowerCase();\n    if (!keyword) {\n      return providerModels;\n    }\n    return providerModels.filter((model) => {\n      const candidates = [\n        model?.id,\n        model?.model_name,\n        model?.model_tag,\n        model?.description,\n      ];\n      return candidates.some(\n        (text) =>\n          typeof text === \"string\" && text.toLowerCase().includes(keyword)\n      );\n    });\n  }, [providerModels, providerModelSearchTerm]);\n\n  // Handle provider config save\n  const handleProviderConfigSave = async ({\n    apiKey,\n    maxTokens,\n  }: {\n    apiKey: string;\n    maxTokens: number;\n  }) => {\n    setMaxTokens(maxTokens);\n    if (\n      (selectedSource === MODEL_SOURCES.SILICON ||\n        selectedSource === MODEL_SOURCES.MODELENGINE ||\n        selectedSource === MODEL_SOURCES.DASHSCOPE ||\n        selectedSource === MODEL_SOURCES.TOKENPONY) &&\n      deletingModelType\n    ) {\n      try {\n        const currentIds = new Set(\n          models\n            .filter(\n              (m) =>\n                m.type === deletingModelType &&\n                m.source === (selectedSource as ModelSource)\n            )\n            .map((m) => m.name)\n        );\n\n        // Build payload items for the current provider models in required format\n        const currentModelPayloads = models\n          .filter(\n            (m) =>\n              m.type === deletingModelType &&\n              m.source === (selectedSource as ModelSource) &&\n              currentIds.has(m.name)\n          )\n          .map((m) => ({\n            model_id: String(m.id),\n            apiKey: apiKey || m.apiKey,\n            maxTokens: maxTokens || m.maxTokens,\n          }));\n\n        await modelService.updateBatchModel(\n          currentModelPayloads,\n          selectedSource as ModelSource\n        );\n\n        // Show success message since no exception was thrown\n        message.success(t(\"model.dialog.success.updateSuccess\"));\n\n        // Synchronize providerModels state with the updated maxTokens\n        setProviderModels((prev) =>\n          prev.map((model) => ({\n            ...model,\n            max_tokens: maxTokens || model.max_tokens || 4096,\n          }))\n        );\n      } catch (e) {\n        message.error(t(\"model.dialog.error.noModelsFetched\"));\n      }\n    }\n    await onSuccess();\n    setIsProviderConfigOpen(false);\n  };\n\n  // Handle settings button click\n  const handleSettingsClick = (model: any) => {\n    setSelectedModelForSettings(model);\n    setModelMaxTokens(model.max_tokens?.toString() || \"4096\");\n    setSettingsModalVisible(true);\n  };\n\n  // Handle settings save\n  const handleSettingsSave = () => {\n    if (selectedModelForSettings) {\n      // Update the model in the list with new max_tokens\n      setProviderModels((prev) =>\n        prev.map((model) =>\n          model.id === selectedModelForSettings.id\n            ? { ...model, max_tokens: parseInt(modelMaxTokens) || 4096 }\n            : model\n        )\n      );\n    }\n    setSettingsModalVisible(false);\n    setSelectedModelForSettings(null);\n  };\n\n  // Handle embedding model click to open config modal\n  const handleEmbeddingModelClick = (model: ModelOption | any) => {\n    const isEmbeddingModel =\n      model.type === MODEL_TYPES.EMBEDDING ||\n      model.type === MODEL_TYPES.MULTI_EMBEDDING ||\n      model.model_type === MODEL_TYPES.EMBEDDING ||\n      model.model_type === MODEL_TYPES.MULTI_EMBEDDING;\n    if (isEmbeddingModel) {\n      // If it's a providerModel (not yet added to system), find the corresponding model in models list\n      if (model.id && !model.name) {\n        // This is a providerModel, find the corresponding model in models list\n        const existingModel = models.find(\n          (m) =>\n            m.name === model.id &&\n            m.type === (model.model_type || deletingModelType) &&\n            m.source === selectedSource\n        );\n        if (existingModel) {\n          setSelectedEmbeddingModel(existingModel);\n          setChunkSizeRange([\n            existingModel.expectedChunkSize || DEFAULT_EXPECTED_CHUNK_SIZE,\n            existingModel.maximumChunkSize || DEFAULT_MAXIMUM_CHUNK_SIZE,\n          ]);\n          setChunkingBatchSize(\n            (existingModel.chunkingBatchSize || 10).toString()\n          );\n        } else {\n          // Model not yet added, use default values\n          setSelectedEmbeddingModel({\n            ...model,\n            name: model.id,\n            displayName: model.id,\n            type: model.model_type || deletingModelType,\n            source: selectedSource,\n            expectedChunkSize: DEFAULT_EXPECTED_CHUNK_SIZE,\n            maximumChunkSize: DEFAULT_MAXIMUM_CHUNK_SIZE,\n            chunkingBatchSize: 10,\n          } as ModelOption);\n          setChunkSizeRange([\n            DEFAULT_EXPECTED_CHUNK_SIZE,\n            DEFAULT_MAXIMUM_CHUNK_SIZE,\n          ]);\n          setChunkingBatchSize(\"10\");\n        }\n      } else {\n        // This is a ModelOption from models list\n        setSelectedEmbeddingModel(model);\n        setChunkSizeRange([\n          model.expectedChunkSize || DEFAULT_EXPECTED_CHUNK_SIZE,\n          model.maximumChunkSize || DEFAULT_MAXIMUM_CHUNK_SIZE,\n        ]);\n        setChunkingBatchSize((model.chunkingBatchSize || 10).toString());\n      }\n      setEmbeddingConfigModalVisible(true);\n    }\n  };\n\n  // Handle embedding config save\n  const handleEmbeddingConfigSave = async () => {\n    if (!selectedEmbeddingModel) return;\n\n    setSavingEmbeddingConfig(true);\n    try {\n      // Get the display name - use the one from existing model if available\n      const displayName =\n        selectedEmbeddingModel.displayName || selectedEmbeddingModel.name;\n      const apiKey =\n        selectedEmbeddingModel.apiKey ||\n        getApiKeyByType(\n          deletingModelType,\n          (selectedEmbeddingModel?.source as ModelSource) || selectedSource || undefined\n        );\n\n      await modelService.updateSingleModel({\n        currentDisplayName: displayName,\n        url: selectedEmbeddingModel.apiUrl || \"\",\n        apiKey: apiKey || \"sk-no-api-key\",\n        source: selectedEmbeddingModel.source || selectedSource,\n        expectedChunkSize: chunkSizeRange[0],\n        maximumChunkSize: chunkSizeRange[1],\n        chunkingBatchSize: parseInt(chunkingBatchSize) || 10,\n      });\n\n      message.success(t(\"model.dialog.editSuccess\"));\n      setEmbeddingConfigModalVisible(false);\n      setSelectedEmbeddingModel(null);\n      // Refresh model list to reflect changes\n      await onSuccess();\n    } catch (error: any) {\n      log.error(\"Failed to save embedding model config:\", error);\n      if (error.code === 404) {\n        message.error(t(\"model.dialog.error.modelNotFound\"));\n      } else if (error.code === 500) {\n        message.error(t(\"model.dialog.error.serverError\"));\n      } else {\n        message.error(t(\"model.dialog.error.editFailed\"));\n      }\n    } finally {\n      setSavingEmbeddingConfig(false);\n    }\n  };\n\n  return (\n    // Refactor: Styles are embedded within the component\n    <Modal\n      title={t(\"model.dialog.edit.title\")}\n      open={isOpen}\n      onCancel={handleClose}\n      footer={[\n        <Button key=\"close\" onClick={handleClose}>\n          {t(\"common.button.close\")}\n        </Button>,\n        // Only show confirm button when displaying model details (silicon and openai sources)\n        selectedSource &&\n          selectedSource !== MODEL_SOURCES.OPENAI_API_COMPATIBLE &&\n          deletingModelType && (\n            <Button\n              key=\"confirm\"\n              type=\"primary\"\n              loading={isConfirmLoading}\n              onClick={async () => {\n                setIsConfirmLoading(true);\n                try {\n                  // Handle changes for both silicon and openai sources\n                  if (\n                    selectedSource === MODEL_SOURCES.SILICON &&\n                    deletingModelType\n                  ) {\n                    try {\n                      // Get all currently enabled models (including originally enabled and newly enabled ones)\n                      const allEnabledModels = providerModels.filter(\n                        (pm: any) => pendingSelectedProviderIds.has(pm.id)\n                      );\n\n                      if (allEnabledModels) {\n                        const apiKey = getApiKeyByType(deletingModelType, MODEL_SOURCES.SILICON);\n                        const isEmbeddingType =\n                          deletingModelType === MODEL_TYPES.EMBEDDING ||\n                          deletingModelType === MODEL_TYPES.MULTI_EMBEDDING;\n                        // Pass all currently enabled models\n                        // For embedding/multi_embedding models, explicitly exclude max_tokens as backend will set it via connectivity check\n                      await modelService.addBatchCustomModel({\n                        api_key:\n                          apiKey && apiKey.trim() !== \"\"\n                            ? apiKey\n                            : \"sk-no-api-key\",\n                        provider: MODEL_SOURCES.SILICON,\n                        type: deletingModelType,\n                        models: allEnabledModels.map((model) => {\n                          if (isEmbeddingType) {\n                            const { max_tokens, ...modelWithoutMaxTokens } =\n                              model;\n                            return modelWithoutMaxTokens;\n                          } else {\n                            return {\n                              ...model,\n                              max_tokens: model.max_tokens || 4096,\n                            };\n                          }\n                        }),\n                      });\n                      }\n\n                      // Refresh list\n                      await onSuccess();\n                      // Re-fetch provider models and sync switch states\n                      await prefetchProviderModels(selectedSource, deletingModelType);\n                      message.success(t(\"model.dialog.success.updateSuccess\"));\n                      // Close dialog\n                      handleClose();\n                    } catch (e) {\n                      log.error(\"Failed to apply model updates\", e);\n                      message.error(\n                        t(\"model.dialog.error.addFailed\", { error: e as any })\n                      );\n                    }\n                  } else if (\n                    selectedSource === MODEL_SOURCES.MODELENGINE &&\n                    deletingModelType\n                  ) {\n                    try {\n                      const allEnabledModels = providerModels.filter(\n                        (pm: any) => pendingSelectedProviderIds.has(pm.id)\n                      );\n\n                      if (allEnabledModels) {\n                        const apiKey = getApiKeyByType(deletingModelType, MODEL_SOURCES.MODELENGINE);\n                        const isEmbeddingType =\n                          deletingModelType === MODEL_TYPES.EMBEDDING ||\n                          deletingModelType === MODEL_TYPES.MULTI_EMBEDDING;\n                        await modelService.addBatchCustomModel({\n                          api_key:\n                            apiKey && apiKey.trim() !== \"\"\n                              ? apiKey\n                              : \"sk-no-api-key\",\n                          provider: MODEL_SOURCES.MODELENGINE,\n                          type: deletingModelType,\n                          models: allEnabledModels.map((model) => {\n                            if (isEmbeddingType) {\n                              const { max_tokens, ...modelWithoutMaxTokens } =\n                                model;\n                              return modelWithoutMaxTokens;\n                            } else {\n                              return {\n                                ...model,\n                                max_tokens: model.max_tokens || 4096,\n                              };\n                            }\n                          }),\n                        });\n                      }\n\n                      await onSuccess();\n                      await prefetchProviderModels(selectedSource, deletingModelType);\n                      message.success(t(\"model.dialog.success.updateSuccess\"));\n                      handleClose();\n                    } catch (e) {\n                      log.error(\"Failed to apply ModelEngine model updates\", e);\n                      message.error(\n                        t(\"model.dialog.error.addFailed\", { error: e as any })\n                      );\n                    }\n                  } else if (\n                    selectedSource === MODEL_SOURCES.DASHSCOPE &&\n                    deletingModelType\n                  ) {\n                    try {\n                      const allEnabledModels = providerModels.filter(\n                        (pm: any) => pendingSelectedProviderIds.has(pm.id)\n                      );\n\n                      if (allEnabledModels) {\n                        const apiKey = getApiKeyByType(deletingModelType, MODEL_SOURCES.DASHSCOPE);\n                        const isEmbeddingType =\n                          deletingModelType === MODEL_TYPES.EMBEDDING ||\n                          deletingModelType === MODEL_TYPES.MULTI_EMBEDDING;\n                        await modelService.addBatchCustomModel({\n                          api_key:\n                            apiKey && apiKey.trim() !== \"\"\n                              ? apiKey\n                              : \"sk-no-api-key\",\n                          provider: MODEL_SOURCES.DASHSCOPE,\n                          type: deletingModelType,\n                          models: allEnabledModels.map((model) => {\n                            if (isEmbeddingType) {\n                              const { max_tokens, ...modelWithoutMaxTokens } =\n                                model;\n                              return modelWithoutMaxTokens;\n                            } else {\n                              return {\n                                ...model,\n                                max_tokens: model.max_tokens || 4096,\n                              };\n                            }\n                          }),\n                        });\n                      }\n\n                      await onSuccess();\n                      await prefetchProviderModels(selectedSource, deletingModelType);\n                      message.success(t(\"model.dialog.success.updateSuccess\"));\n                      handleClose();\n                    } catch (e) {\n                      log.error(\"Failed to apply DashScope model updates\", e);\n                      message.error(\n                        t(\"model.dialog.error.addFailed\", { error: e as any })\n                      );\n                    }\n                  } else if (\n                    selectedSource === MODEL_SOURCES.TOKENPONY &&\n                    deletingModelType\n                  ) {\n                    try {\n                      const allEnabledModels = providerModels.filter(\n                        (pm: any) => pendingSelectedProviderIds.has(pm.id)\n                      );\n\n                      if (allEnabledModels) {\n                        const apiKey = getApiKeyByType(deletingModelType, MODEL_SOURCES.TOKENPONY);\n                        const isEmbeddingType =\n                          deletingModelType === MODEL_TYPES.EMBEDDING ||\n                          deletingModelType === MODEL_TYPES.MULTI_EMBEDDING;\n                        await modelService.addBatchCustomModel({\n                          api_key:\n                            apiKey && apiKey.trim() !== \"\"\n                              ? apiKey\n                              : \"sk-no-api-key\",\n                          provider: MODEL_SOURCES.TOKENPONY,\n                          type: deletingModelType,\n                          models: allEnabledModels.map((model) => {\n                            if (isEmbeddingType) {\n                              const { max_tokens, ...modelWithoutMaxTokens } =\n                                model;\n                              return modelWithoutMaxTokens;\n                            } else {\n                              return {\n                                ...model,\n                                max_tokens: model.max_tokens || 4096,\n                              };\n                            }\n                          }),\n                        });\n                      }\n\n                      await onSuccess();\n                      await prefetchProviderModels(selectedSource, deletingModelType);\n                      message.success(t(\"model.dialog.success.updateSuccess\"));\n                      handleClose();\n                    } catch (e) {\n                      log.error(\"Failed to apply TokenPony model updates\", e);\n                      message.error(\n                        t(\"model.dialog.error.addFailed\", { error: e as any })\n                      );\n                    }\n                  } else if (\n                    selectedSource === MODEL_SOURCES.OPENAI &&\n                    deletingModelType\n                  ) {\n                    try {\n                      // For OpenAI source, just refresh the list and close dialog\n                      await onSuccess();\n                      message.success(t(\"model.dialog.success.updateSuccess\"));\n                      handleClose();\n                    } catch (e) {\n                      log.error(\"Failed to apply OpenAI model updates\", e);\n                      message.error(\n                        t(\"model.dialog.error.addFailed\", { error: e as any })\n                      );\n                    }\n                  }\n                } finally {\n                  setIsConfirmLoading(false);\n                }\n              }}\n            >\n              {t(\"common.confirm\")}\n            </Button>\n          ),\n      ]}\n      width={520}\n      destroyOnHidden\n    >\n      {!deletingModelType ? (\n        <div className=\"space-y-4\">\n          <p className=\"text-sm text-gray-600 mb-4\">\n            {t(\"model.dialog.edit.selectType\")}\n          </p>\n\n          <div className=\"grid grid-cols-1 gap-2\">\n            {(\n              [\n                MODEL_TYPES.LLM,\n                MODEL_TYPES.EMBEDDING,\n                MODEL_TYPES.MULTI_EMBEDDING,\n                MODEL_TYPES.RERANK,\n                MODEL_TYPES.VLM,\n                MODEL_TYPES.STT,\n                MODEL_TYPES.TTS,\n              ] as ModelType[]\n            ).map((type) => {\n              const modelsByType = models.filter(\n                (model) => model.type === type\n              );\n              const colorScheme = getModelColorScheme(type);\n\n              if (modelsByType.length === 0) return null;\n\n              return (\n                <button\n                  key={type}\n                  onClick={() => {\n                    setDeletingModelType(type);\n                    setSelectedSource(null);\n                    setProviderModelSearchTerm(\"\");\n                    // Initialize maxTokens with a value from existing models of this type\n                    const existingModel = models.find(\n                      (model) => model.type === type\n                    );\n                    setMaxTokens(existingModel?.maxTokens || 0);\n                  }}\n                  disabled={\n                    type === MODEL_TYPES.STT || type === MODEL_TYPES.TTS\n                  }\n                  className={`p-3 flex justify-between rounded-md border transition-colors ${\n                    type === MODEL_TYPES.STT || type === MODEL_TYPES.TTS\n                      ? `${colorScheme.border} bg-gray-100 cursor-not-allowed opacity-60`\n                      : `${colorScheme.border} ${colorScheme.bg} hover:bg-opacity-80`\n                  }`}\n                >\n                  <div className=\"flex items-center\">\n                    <div\n                      className={`w-8 h-8 rounded-md flex items-center justify-center mr-3 ${colorScheme.text}`}\n                    >\n                      {getModelIcon(type)}\n                    </div>\n                    <div className=\"flex flex-col text-left\">\n                      <div className=\"font-medium\">\n                        {getModelTypeName(type)}\n                      </div>\n                      <div className=\"text-xs text-gray-500\">\n                        {t(\"model.dialog.delete.customModelCount\", {\n                          count: modelsByType.length,\n                        })}\n                        {(type === MODEL_TYPES.STT ||\n                          type === MODEL_TYPES.TTS) &&\n                          t(\"model.dialog.delete.unsupportedType\")}\n                      </div>\n                    </div>\n                  </div>\n                  <ChevronRight size={24} className=\"self-center\" />\n                </button>\n              );\n            })}\n          </div>\n\n          {models.length === 0 && (\n            <div className=\"text-center py-8 text-gray-500\">\n              {t(\"model.dialog.delete.noModels\")}\n            </div>\n          )}\n        </div>\n      ) : selectedSource === null ? (\n        <div className=\"space-y-4\">\n          <div className=\"flex items-center mb-2\">\n            <button\n              onClick={() => setDeletingModelType(null)}\n              className=\"text-blue-500 hover:text-blue-700 flex items-center\"\n            >\n              <svg\n                xmlns=\"http://www.w3.org/2000/svg\"\n                className=\"h-5 w-5 mr-1\"\n                viewBox=\"0 0 20 20\"\n                fill=\"currentColor\"\n              >\n                <path\n                  fillRule=\"evenodd\"\n                  d=\"M9.707 16.707a1 1 0 01-1.414 0l-6-6a1 1 0 010-1.414l6-6a1 1 0 011.414 1.414L5.414 9H17a1 1 0 110 2H5.414l4.293 4.293a1 1 0 010 1.414z\"\n                  clipRule=\"evenodd\"\n                />\n              </svg>\n              {t(\"common.back\")}\n            </button>\n          </div>\n\n          <div className=\"grid grid-cols-1 gap-2\">\n            {(\n              [\n                MODEL_SOURCES.MODELENGINE,\n                MODEL_SOURCES.OPENAI,\n                MODEL_SOURCES.SILICON,\n                MODEL_SOURCES.OPENAI_API_COMPATIBLE,\n                MODEL_SOURCES.DASHSCOPE,\n                MODEL_SOURCES.TOKENPONY,\n              ] as ModelSource[]\n            ).map((source) => {\n              const modelsOfSource = models.filter(\n                (model) =>\n                  model.type === deletingModelType && model.source === source\n              );\n              if (modelsOfSource.length === 0) return null;\n              const colorScheme = getSourceColorScheme(source);\n              const isLoading = loadingSource === source;\n              return (\n                <button\n                  key={source}\n                  onClick={() => handleSourceSelect(source)}\n                  disabled={isLoading}\n                  className={`p-3 flex justify-between rounded-md border transition-colors ${\n                    colorScheme.border\n                  } ${colorScheme.bg} hover:bg-opacity-80 ${\n                    isLoading ? \"opacity-60 cursor-not-allowed\" : \"\"\n                  }`}\n                >\n                  <div className=\"flex items-center\">\n                    <div\n                      className={`w-8 h-8 rounded-md flex items-center justify-center mr-3 ${colorScheme.text}`}\n                    >\n                      {isLoading ? (\n                        <svg\n                          className=\"animate-spin h-5 w-5\"\n                          xmlns=\"http://www.w3.org/2000/svg\"\n                          fill=\"none\"\n                          viewBox=\"0 0 24 24\"\n                        >\n                          <circle\n                            className=\"opacity-25\"\n                            cx=\"12\"\n                            cy=\"12\"\n                            r=\"10\"\n                            stroke=\"currentColor\"\n                            strokeWidth=\"4\"\n                          ></circle>\n                          <path\n                            className=\"opacity-75\"\n                            fill=\"currentColor\"\n                            d=\"M4 12a8 8 0 018-8V0C5.373 0 0 5.373 0 12h4zm2 5.291A7.962 7.962 0 014 12H0c0 3.042 1.135 5.824 3 7.938l3-2.647z\"\n                          ></path>\n                        </svg>\n                      ) : (\n                        getSourceIcon(source)\n                      )}\n                    </div>\n                    <div className=\"flex flex-col text-left\">\n                      <div className=\"font-medium\">{getSourceName(source)}</div>\n                      <div className=\"text-xs text-gray-500\">\n                        {t(\"model.dialog.delete.customModelCount\", {\n                          count: modelsOfSource.length,\n                        })}\n                      </div>\n                    </div>\n                  </div>\n                  <ChevronRight size={24} className=\"self-center\" />\n                </button>\n              );\n            })}\n          </div>\n        </div>\n      ) : (\n        <div>\n          <div className=\"flex items-center justify-between mb-4\">\n            <button\n              onClick={() => {\n                setSelectedSource(null);\n                setProviderModels([]);\n                setProviderModelSearchTerm(\"\");\n              }}\n              className=\"text-blue-500 hover:text-blue-700 flex items-center\"\n            >\n              <svg\n                xmlns=\"http://www.w3.org/2000/svg\"\n                className=\"h-5 w-5 mr-1\"\n                viewBox=\"0 0 20 20\"\n                fill=\"currentColor\"\n              >\n                <path\n                  fillRule=\"evenodd\"\n                  d=\"M9.707 16.707a1 1 0 01-1.414 0l-6-6a1 1 0 010-1.414l6-6a1 1 0 011.414 1.414L5.414 9H17a1 1 0 110 2H5.414l4.293 4.293a1 1 0 010 1.414z\"\n                  clipRule=\"evenodd\"\n                />\n              </svg>\n              {t(\"common.back\")}\n            </button>\n\n            {selectedSource !== MODEL_SOURCES.OPENAI_API_COMPATIBLE && (\n              <div className=\"flex gap-2\">\n                <Button\n                  size=\"small\"\n                  icon={<RefreshCw className=\"text-blue-500\" size={16} />}\n                  onClick={async () => {\n                    if (\n                      (selectedSource === MODEL_SOURCES.SILICON ||\n                        selectedSource === MODEL_SOURCES.MODELENGINE ||\n                        selectedSource === MODEL_SOURCES.DASHSCOPE ||\n                        selectedSource === MODEL_SOURCES.TOKENPONY) &&\n                      deletingModelType\n                    ) {\n                      try {\n                        await prefetchProviderModels(\n                          selectedSource as ModelSource,\n                          deletingModelType\n                        );\n                        message.success(t(\"common.message.refreshSuccess\"));\n                      } catch (error) {\n                        message.error(t(\"common.message.refreshFailed\"));\n                      }\n                    }\n                  }}\n                  className=\"border-none shadow-none hover:bg-blue-50\"\n                ></Button>\n                <Button\n                  size=\"small\"\n                  onClick={() => setIsProviderConfigOpen(true)}\n                >\n                  {t(\"common.button.editConfig\")}\n                </Button>\n              </div>\n            )}\n          </div>\n\n          {(selectedSource === MODEL_SOURCES.SILICON ||\n            selectedSource === MODEL_SOURCES.MODELENGINE) &&\n          providerModels.length > 0 ? (\n            <div className=\"max-h-60 overflow-y-auto border border-gray-200 rounded-md divide-y divide-gray-200\">\n              {providerModels.length > 0 && (\n                <div className=\"sticky top-0 z-10 bg-white p-2\">\n                  <Input\n                    allowClear\n                    size=\"small\"\n                    placeholder={t(\"model.dialog.modelList.searchPlaceholder\")}\n                    value={providerModelSearchTerm}\n                    onChange={(event) =>\n                      setProviderModelSearchTerm(event.target.value)\n                    }\n                  />\n                </div>\n              )}\n              {filteredProviderModels.length === 0 && (\n                <div className=\"p-4 text-center text-xs text-gray-500\">\n                  {t(\"model.dialog.modelList.noResults\")}\n                </div>\n              )}\n              {filteredProviderModels.map((providerModel: any) => {\n                const checked = pendingSelectedProviderIds.has(\n                  providerModel.id\n                );\n                const isEmbeddingModel =\n                  deletingModelType === MODEL_TYPES.EMBEDDING ||\n                  deletingModelType === MODEL_TYPES.MULTI_EMBEDDING ||\n                  providerModel.model_type === MODEL_TYPES.EMBEDDING ||\n                  providerModel.model_type === MODEL_TYPES.MULTI_EMBEDDING;\n                // Check if this model is already added to the system\n                const existingModel = models.find(\n                  (m) =>\n                    m.name === providerModel.id &&\n                    m.type ===\n                      (providerModel.model_type || deletingModelType) &&\n                    m.source === selectedSource\n                );\n                const canEditEmbedding = isEmbeddingModel && existingModel;\n\n                return (\n                  <div\n                    key={providerModel.id}\n                    className={`p-2 flex justify-between items-center hover:bg-gray-50 text-sm ${\n                      canEditEmbedding ? \"cursor-pointer\" : \"\"\n                    }`}\n                  >\n                    <div\n                      className=\"flex items-center min-w-0 flex-1\"\n                      onClick={\n                        canEditEmbedding\n                          ? () => handleEmbeddingModelClick(providerModel)\n                          : undefined\n                      }\n                    >\n                      <span className=\"truncate\" title={providerModel.id}>\n                        {providerModel.id}\n                      </span>\n                      {providerModel.model_type && (\n                        <span className=\"ml-2 px-1.5 py-0.5 text-xs rounded bg-gray-200 text-gray-600 uppercase\">\n                          {String(providerModel.model_tag)}\n                        </span>\n                      )}\n                    </div>\n                    <div className=\"flex items-center space-x-2\">\n                      {deletingModelType !== \"embedding\" &&\n                        deletingModelType !== MODEL_TYPES.MULTI_EMBEDDING && (\n                          <Tooltip\n                            title={t(\"model.dialog.modelList.tooltip.settings\")}\n                          >\n                            <Button\n                              type=\"text\"\n                              icon={<Settings size={16} />}\n                              size=\"small\"\n                              onClick={(e) => {\n                                e.stopPropagation(); // Prevent switch toggle\n                                handleSettingsClick(providerModel);\n                              }}\n                            />\n                          </Tooltip>\n                        )}\n                      <Switch\n                        size=\"small\"\n                        checked={checked}\n                        onChange={(value, event) => {\n                          // Ensure toggling switch never triggers the row click handler\n                          if (\n                            event &&\n                            typeof event.stopPropagation === \"function\"\n                          ) {\n                            event.stopPropagation();\n                          }\n                          setPendingSelectedProviderIds((prev) => {\n                            const next = new Set(prev);\n                            if (value) {\n                              next.add(providerModel.id);\n                            } else {\n                              next.delete(providerModel.id);\n                            }\n                            return next;\n                          });\n                        }}\n                      />\n                    </div>\n                  </div>\n                );\n              })}\n            </div>\n          ) : (\n            <div className=\"max-h-60 overflow-y-auto border border-gray-200 rounded-md divide-y divide-gray-200\">\n              {models\n                .filter(\n                  (model) =>\n                    model.type === deletingModelType &&\n                    model.source === selectedSource\n                )\n                .map((model) => {\n                  const isEmbeddingModel =\n                    model.type === MODEL_TYPES.EMBEDDING ||\n                    model.type === MODEL_TYPES.MULTI_EMBEDDING;\n                  // Only allow clicking for batch-imported embedding models (not custom models)\n                  const isBatchImportedEmbedding =\n                    isEmbeddingModel &&\n                    selectedSource !== MODEL_SOURCES.OPENAI_API_COMPATIBLE;\n                  // Custom models can still be clicked to edit full model config\n                  const isCustomModelClickable =\n                    selectedSource === MODEL_SOURCES.OPENAI_API_COMPATIBLE;\n                  const isClickable =\n                    isBatchImportedEmbedding || isCustomModelClickable;\n\n                  return (\n                    <div\n                      key={model.name}\n                      onClick={\n                        isClickable\n                          ? () =>\n                              isBatchImportedEmbedding\n                                ? handleEmbeddingModelClick(model)\n                                : handleEditModel(model)\n                          : undefined\n                      }\n                      className={`p-2 flex justify-between items-center hover:bg-gray-50 text-sm ${\n                        isClickable ? \"cursor-pointer\" : \"\"\n                      }`}\n                    >\n                      <div className=\"flex-1 min-w-0\">\n                        <div\n                          className=\"font-medium truncate\"\n                          title={model.name}\n                        >\n                          {model.displayName || model.name} ({model.name})\n                        </div>\n                      </div>\n                      <button\n                          onClick={(e) => {\n                          e.stopPropagation();\n                          handleDeleteModel(model.displayName || model.name, model.source);\n                        }}\n                        disabled={\n                          deletingModels.has(model.displayName || model.name) ||\n                          model.type === MODEL_TYPES.STT ||\n                          model.type === MODEL_TYPES.TTS\n                        }\n                        className={`p-1 ${\n                          model.type === MODEL_TYPES.STT ||\n                          model.type === MODEL_TYPES.TTS\n                            ? \"text-gray-400 cursor-not-allowed\"\n                            : \"text-red-500 hover:text-red-700\"\n                        }`}\n                        title={\n                          model.type === MODEL_TYPES.STT ||\n                          model.type === MODEL_TYPES.TTS\n                            ? t(\"model.dialog.delete.unsupportedTypeHint\")\n                            : t(\"model.dialog.delete.deleteHint\")\n                        }\n                      >\n                        {deletingModels.has(model.displayName || model.name) ? (\n                          <svg\n                            className=\"animate-spin h-5 w-5\"\n                            xmlns=\"http://www.w3.org/2000/svg\"\n                            fill=\"none\"\n                            viewBox=\"0 0 24 24\"\n                          >\n                            <circle\n                              className=\"opacity-25\"\n                              cx=\"12\"\n                              cy=\"12\"\n                              r=\"10\"\n                              stroke=\"currentColor\"\n                              strokeWidth=\"4\"\n                            ></circle>\n                            <path\n                              className=\"opacity-75\"\n                              fill=\"currentColor\"\n                              d=\"M4 12a8 8 0 018-8V0C5.373 0 0 5.373 0 12h4zm2 5.291A7.962 7.962 0 014 12H0c0 3.042 1.135 5.824 3 7.938l3-2.647z\"\n                            ></path>\n                          </svg>\n                        ) : (\n                          <Trash size={16} />\n                        )}\n                      </button>\n                    </div>\n                  );\n                })}\n\n              {models.filter(\n                (model) =>\n                  model.type === deletingModelType &&\n                  model.source === selectedSource\n              ).length === 0 && (\n                <div className=\"p-4 text-center text-gray-500\">\n                  {t(\"model.dialog.delete.noModelsOfType\", {\n                    type: getModelTypeName(deletingModelType),\n                  })}\n                </div>\n              )}\n            </div>\n          )}\n\n          <div className=\"mt-4 p-3 bg-yellow-50 border border-yellow-100 rounded-md text-xs text-yellow-700\">\n            <div>\n              <div className=\"flex items-center mb-1\">\n                <ExclamationCircleFilled className=\"text-md text-yellow-500 mr-3\" />\n                <p className=\"font-bold text-medium\">{t(\"common.notice\")}</p>\n              </div>\n              <p className=\"mt-0.5 ml-6\">\n                {selectedSource === \"OpenAI-API-Compatible\"\n                  ? t(\"model.dialog.delete.warning\")\n                  : t(\"model.dialog.edit.warning\")}\n              </p>\n            </div>\n          </div>\n        </div>\n      )}\n      {/* Edit model dialog */}\n      <ModelEditDialog\n        isOpen={!!editModel}\n        model={editModel}\n        onClose={() => setEditModel(null)}\n        onSuccess={async () => {\n          await onSuccess();\n          // After closing, if the current list type is empty, go back one level\n          if (\n            editModel &&\n            deletingModelType &&\n            editModel.type !== deletingModelType\n          ) {\n            setDeletingModelType(null);\n          }\n        }}\n      />\n      <ProviderConfigEditDialog\n        isOpen={isProviderConfigOpen}\n        onClose={() => setIsProviderConfigOpen(false)}\n        initialApiKey={getApiKeyByType(deletingModelType, selectedSource || undefined)}\n        initialMaxTokens={(\n          models.find(\n            (m) =>\n              m.type === deletingModelType &&\n              m.source === (selectedSource || MODEL_SOURCES.SILICON)\n          )?.maxTokens || 4096\n        ).toString()}\n        modelType={deletingModelType || undefined}\n        onSave={handleProviderConfigSave}\n      />\n\n      {/* Settings Modal */}\n      <Modal\n        title={t(\"model.dialog.settings.title\")}\n        open={settingsModalVisible}\n        onCancel={() => setSettingsModalVisible(false)}\n        onOk={handleSettingsSave}\n        cancelText={t(\"common.button.cancel\")}\n        okText={t(\"common.button.save\")}\n        destroyOnHidden\n      >\n        <div className=\"space-y-3\">\n          <div>\n            <label className=\"block mb-1 text-sm font-medium text-gray-700\">\n              {t(\"model.dialog.settings.label.maxTokens\")}\n            </label>\n            <Input\n              type=\"number\"\n              value={modelMaxTokens}\n              onChange={(e) => setModelMaxTokens(e.target.value)}\n              placeholder={t(\"model.dialog.placeholder.maxTokens\")}\n            />\n          </div>\n        </div>\n      </Modal>\n\n      {/* Embedding Model Config Modal */}\n      <Modal\n        title={t(\"model.dialog.embeddingConfig.title\", {\n          modelName:\n            selectedEmbeddingModel?.displayName ||\n            selectedEmbeddingModel?.name ||\n            \"\",\n        })}\n        open={embeddingConfigModalVisible}\n        onCancel={() => {\n          setEmbeddingConfigModalVisible(false);\n          setSelectedEmbeddingModel(null);\n        }}\n        onOk={handleEmbeddingConfigSave}\n        cancelText={t(\"common.button.cancel\")}\n        okText={t(\"common.button.save\")}\n        confirmLoading={savingEmbeddingConfig}\n        destroyOnHidden\n      >\n        <div className=\"space-y-4\">\n          {/* Chunk Size Range */}\n          <div>\n            <label className=\"block mb-2 text-sm font-medium text-gray-700\">\n              {t(\"modelConfig.slider.chunkingSize\")}\n            </label>\n            <ModelChunkSizeSlider\n              value={chunkSizeRange}\n              onChange={(value) => setChunkSizeRange(value)}\n            />\n          </div>\n\n          {/* Concurrent Request Count */}\n          <div>\n            <label\n              htmlFor=\"embeddingChunkingBatchSize\"\n              className=\"block mb-1 text-sm font-medium text-gray-700\"\n            >\n              {t(\"modelConfig.input.chunkingBatchSize\")}\n            </label>\n            <Input\n              id=\"embeddingChunkingBatchSize\"\n              type=\"number\"\n              min=\"1\"\n              placeholder=\"10\"\n              value={chunkingBatchSize}\n              onChange={(e) => setChunkingBatchSize(e.target.value)}\n            />\n          </div>\n        </div>\n      </Modal>\n    </Modal>\n  );\n};\n"
  },
  {
    "path": "frontend/app/[locale]/models/components/model/ModelEditDialog.tsx",
    "content": "import { useState, useEffect } from 'react'\nimport { useTranslation } from 'react-i18next'\n\nimport { Modal, Input, Button, App } from \"antd\";\n\nimport { MODEL_TYPES, MODEL_STATUS } from \"@/const/modelConfig\";\nimport { useConfig } from \"@/hooks/useConfig\";\nimport { modelService } from \"@/services/modelService\";\nimport { ModelOption, ModelType } from \"@/types/modelConfig\";\nimport { getConnectivityMeta, ConnectivityStatusType } from \"@/lib/utils\";\nimport {\n  ModelChunkSizeSlider,\n  DEFAULT_EXPECTED_CHUNK_SIZE,\n  DEFAULT_MAXIMUM_CHUNK_SIZE,\n} from \"./ModelChunkSizeSilder\";\n\ninterface ModelEditDialogProps {\n  isOpen: boolean;\n  model: ModelOption | null;\n  onClose: () => void;\n  onSuccess: () => Promise<void>;\n  tenantId?: string; // Optional tenant ID for manage operations\n}\n\nexport const ModelEditDialog = ({\n  isOpen,\n  model,\n  onClose,\n  onSuccess,\n  tenantId,\n}: ModelEditDialogProps) => {\n  const { t } = useTranslation();\n  const { message } = App.useApp();\n  const { updateModelConfig } = useConfig();\n  const [form, setForm] = useState({\n    type: MODEL_TYPES.LLM as ModelType,\n    name: \"\",\n    displayName: \"\",\n    url: \"\",\n    apiKey: \"\",\n    maxTokens: \"4096\",\n    vectorDimension: \"1024\",\n    chunkSizeRange: [\n      DEFAULT_EXPECTED_CHUNK_SIZE,\n      DEFAULT_MAXIMUM_CHUNK_SIZE,\n    ] as [number, number],\n    chunkingBatchSize: \"10\",\n  });\n  const [loading, setLoading] = useState(false);\n  const [verifyingConnectivity, setVerifyingConnectivity] = useState(false);\n  const [connectivityStatus, setConnectivityStatus] = useState<{\n    status: ConnectivityStatusType;\n    message: string;\n  }>({\n    status: null,\n    message: \"\",\n  });\n\n  useEffect(() => {\n    if (model) {\n      setForm({\n        type: model.type,\n        name: model.name,\n        displayName: model.displayName || model.name,\n        url: model.apiUrl || \"\",\n        apiKey: model.apiKey || \"\",\n        maxTokens: model.maxTokens?.toString() || \"4096\",\n        vectorDimension: model.maxTokens?.toString() || \"1024\",\n        chunkSizeRange: [\n          model.expectedChunkSize || DEFAULT_EXPECTED_CHUNK_SIZE,\n          model.maximumChunkSize || DEFAULT_MAXIMUM_CHUNK_SIZE,\n        ] as [number, number],\n        chunkingBatchSize: (model.chunkingBatchSize || 10).toString(),\n      });\n    }\n  }, [model]);\n\n  const handleFormChange = (field: string, value: string) => {\n    setForm((prev) => ({ ...prev, [field]: value }));\n    // If the key configuration item changes, clear the verification status\n    if ([\"url\", \"apiKey\", \"maxTokens\", \"vectorDimension\"].includes(field)) {\n      setConnectivityStatus({ status: null, message: \"\" });\n    }\n  };\n\n  const isEmbeddingModel =\n    form.type === MODEL_TYPES.EMBEDDING ||\n    form.type === MODEL_TYPES.MULTI_EMBEDDING;\n\n  const isFormValid = () => {\n    return form.name.trim() !== \"\" && form.url.trim() !== \"\";\n  };\n\n  // Verify model connectivity\n  const handleVerifyConnectivity = async () => {\n    if (!isFormValid()) {\n      message.warning(t(\"model.dialog.warning.incompleteForm\"));\n      return;\n    }\n\n    setVerifyingConnectivity(true);\n    setConnectivityStatus({\n      status: \"checking\",\n      message: t(\"model.dialog.status.verifying\"),\n    });\n\n    try {\n      const modelType = form.type as ModelType;\n\n      // Use manage interface if tenantId is provided\n      if (tenantId) {\n        // Call backend healthcheck API for tenant management\n        const result = await modelService.checkManageTenantModelConnectivity(\n          tenantId,\n          form.displayName || form.name\n        );\n\n        // Set connectivity status\n        let connectivityMessage = \"\";\n        if (result) {\n          connectivityMessage = t(\"model.dialog.connectivity.status.available\");\n        } else {\n          connectivityMessage = t(\"model.dialog.connectivity.status.unavailable\");\n        }\n        setConnectivityStatus({\n          status: result\n            ? MODEL_STATUS.AVAILABLE\n            : MODEL_STATUS.UNAVAILABLE,\n          message: connectivityMessage,\n        });\n      } else {\n        // Use local config verification for non-tenant operations\n        const config = {\n          modelName: form.name,\n          modelType: modelType,\n          baseUrl: form.url,\n          apiKey: form.apiKey.trim() === \"\" ? \"sk-no-api-key\" : form.apiKey,\n          maxTokens:\n            form.type === MODEL_TYPES.EMBEDDING\n              ? parseInt(form.vectorDimension)\n              : parseInt(form.maxTokens),\n          embeddingDim:\n            form.type === MODEL_TYPES.EMBEDDING\n              ? parseInt(form.vectorDimension)\n              : undefined,\n        };\n\n        const result = await modelService.verifyModelConfigConnectivity(config);\n\n        // Set connectivity status\n        let connectivityMessage = \"\";\n        if (result.connectivity) {\n          connectivityMessage = t(\"model.dialog.connectivity.status.available\");\n        } else {\n          connectivityMessage = t(\"model.dialog.connectivity.status.unavailable\");\n        }\n        setConnectivityStatus({\n          status: result.connectivity\n            ? MODEL_STATUS.AVAILABLE\n            : MODEL_STATUS.UNAVAILABLE,\n          message: connectivityMessage,\n        });\n      }\n    } catch (error) {\n      setConnectivityStatus({\n        status: \"unavailable\",\n        message: t(\"model.dialog.connectivity.status.unavailable\"),\n      });\n    } finally {\n      setVerifyingConnectivity(false);\n    }\n  };\n\n  const handleSave = async () => {\n    if (!model) return;\n    setLoading(true);\n    try {\n      // Use update interface instead of delete + add\n      const modelType = form.type as ModelType;\n      // Determine max tokens\n      let maxTokensValue = parseInt(form.maxTokens);\n      if (isEmbeddingModel) maxTokensValue = 0;\n\n      // Use original displayName for lookup, pass new displayName in body if changed\n      const originalDisplayName = model.displayName || model.name;\n      const newDisplayName = form.displayName;\n\n      // Use manage interface if tenantId is provided\n      if (tenantId) {\n        await modelService.updateManageTenantModel({\n          tenantId,\n          currentDisplayName: originalDisplayName,\n          displayName: newDisplayName !== originalDisplayName ? newDisplayName : undefined,\n          url: form.url,\n          apiKey: form.apiKey.trim() === \"\" ? \"sk-no-api-key\" : form.apiKey,\n          maxTokens: maxTokensValue !== 0 ? maxTokensValue : undefined,\n          expectedChunkSize: isEmbeddingModel ? form.chunkSizeRange[0] : undefined,\n          maximumChunkSize: isEmbeddingModel ? form.chunkSizeRange[1] : undefined,\n          chunkingBatchSize: isEmbeddingModel ? parseInt(form.chunkingBatchSize) || 10 : undefined,\n        });\n      } else {\n        await modelService.updateSingleModel({\n          currentDisplayName: originalDisplayName,\n          // Only send displayName if it changed\n          ...(newDisplayName !== originalDisplayName\n            ? { displayName: newDisplayName }\n            : {}),\n          url: form.url,\n          apiKey: form.apiKey.trim() === \"\" ? \"sk-no-api-key\" : form.apiKey,\n          ...(maxTokensValue !== 0 ? { maxTokens: maxTokensValue } : {}),\n          source: model.source,\n          // Send chunk size range for embedding models\n          ...(isEmbeddingModel\n            ? {\n                expectedChunkSize: form.chunkSizeRange[0],\n                maximumChunkSize: form.chunkSizeRange[1],\n                chunkingBatchSize: parseInt(form.chunkingBatchSize) || 10,\n              }\n            : {}),\n        });\n      }\n\n      // Update local configuration (only when currently edited model is selected in configuration)\n      const modelConfigKeyMap: Record<ModelType, string> = {\n        llm: MODEL_TYPES.LLM,\n        embedding: MODEL_TYPES.EMBEDDING,\n        multi_embedding: MODEL_TYPES.MULTI_EMBEDDING,\n        vlm: MODEL_TYPES.VLM,\n        rerank: MODEL_TYPES.RERANK,\n        tts: MODEL_TYPES.TTS,\n        stt: MODEL_TYPES.STT,\n      };\n      const configKey = modelConfigKeyMap[modelType];\n      updateModelConfig({\n        [configKey]: {\n          modelName: form.name,\n          displayName: form.displayName || form.name,\n          apiConfig: {\n            apiKey: form.apiKey,\n            modelUrl: form.url,\n          },\n          ...(isEmbeddingModel\n            ? { dimension: parseInt(form.vectorDimension) }\n            : {}),\n        },\n      });\n\n      await onSuccess();\n      message.success(t(\"model.dialog.editSuccess\"));\n      onClose();\n    } catch (error: any) {\n      if (error.code === 409) {\n        message.error(\n          t(\"model.dialog.error.nameConflict\", {\n            name: form.displayName || form.name,\n          })\n        );\n      } else if (error.code === 404) {\n        message.error(t(\"model.dialog.error.modelNotFound\"));\n      } else if (error.code === 500) {\n        message.error(t(\"model.dialog.error.serverError\"));\n      } else {\n        message.error(t(\"model.dialog.error.editFailed\"));\n        console.error(error);\n      }\n    } finally {\n      setLoading(false);\n    }\n  };\n\n  if (!model) return null;\n\n  return (\n    <Modal\n      title={t(\"model.dialog.editTitle\")}\n      open={isOpen}\n      onCancel={onClose}\n      footer={null}\n      destroyOnHidden\n    >\n      <div className=\"space-y-4\">\n        {/* Model Name */}\n        <div>\n          <label className=\"block mb-1 text-sm font-medium text-gray-700\">\n            {t(\"model.dialog.label.displayName\")}\n          </label>\n          <Input\n            value={form.displayName}\n            onChange={(e) => handleFormChange(\"displayName\", e.target.value)}\n          />\n        </div>\n\n        {/* URL */}\n        <div>\n          <label className=\"block mb-1 text-sm font-medium text-gray-700\">\n            {t(\"model.dialog.label.url\")}\n          </label>\n          <Input\n            value={form.url}\n            onChange={(e) => handleFormChange(\"url\", e.target.value)}\n          />\n        </div>\n\n        {/* API Key */}\n        <div>\n          <label className=\"block mb-1 text-sm font-medium text-gray-700\">\n            {t(\"model.dialog.label.apiKey\")}\n          </label>\n          <Input.Password\n            value={form.apiKey}\n            onChange={(e) => handleFormChange(\"apiKey\", e.target.value)}\n            autoComplete=\"new-password\"\n          />\n        </div>\n\n        {/* maxTokens */}\n        {!isEmbeddingModel && (\n          <div>\n            <label className=\"block mb-1 text-sm font-medium text-gray-700\">\n              {t(\"model.dialog.label.maxTokens\")}\n            </label>\n            <Input\n              value={form.maxTokens}\n              onChange={(e) => handleFormChange(\"maxTokens\", e.target.value)}\n            />\n          </div>\n        )}\n\n        {/* Chunk Size Range for embedding models */}\n        {isEmbeddingModel && (\n          <div>\n            <label className=\"block mb-2 text-sm font-medium text-gray-700\">\n              {t(\"modelConfig.slider.chunkingSize\")}\n            </label>\n            <ModelChunkSizeSlider\n              value={form.chunkSizeRange}\n              onChange={(value) => {\n                setForm((prev) => ({\n                  ...prev,\n                  chunkSizeRange: value,\n                }));\n              }}\n            />\n          </div>\n        )}\n\n        {/* Concurrent Request Count (Embedding model only) */}\n        {isEmbeddingModel && (\n          <div>\n            <label\n              htmlFor=\"chunkingBatchSize\"\n              className=\"block mb-1 text-sm font-medium text-gray-700\"\n            >\n              {t(\"modelConfig.input.chunkingBatchSize\")}\n            </label>\n            <Input\n              id=\"chunkingBatchSize\"\n              type=\"number\"\n              min=\"1\"\n              placeholder=\"10\"\n              value={form.chunkingBatchSize}\n              onChange={(e) =>\n                handleFormChange(\"chunkingBatchSize\", e.target.value)\n              }\n            />\n          </div>\n        )}\n\n        {/* Connectivity verification area */}\n        <div className=\"p-3 bg-gray-50 border border-gray-200 rounded-md\">\n          <div className=\"flex items-center justify-between mb-1\">\n            <div className=\"flex items-center\">\n              <span className=\"text-sm font-medium text-gray-700\">\n                {t(\"model.dialog.connectivity.title\")}\n              </span>\n              {connectivityStatus.status && (\n                <div className=\"ml-2 flex items-center\">\n                  {getConnectivityMeta(connectivityStatus.status).icon}\n                  <span\n                    className=\"ml-1 text-xs\"\n                    style={{\n                      color: getConnectivityMeta(connectivityStatus.status)\n                        .color,\n                    }}\n                  >\n                    {connectivityStatus.status === \"available\" &&\n                      t(\"model.dialog.connectivity.status.available\")}\n                    {connectivityStatus.status === \"unavailable\" &&\n                      t(\"model.dialog.connectivity.status.unavailable\")}\n                    {connectivityStatus.status === \"checking\" &&\n                      t(\"model.dialog.status.verifying\")}\n                  </span>\n                </div>\n              )}\n            </div>\n            <Button\n              size=\"small\"\n              type=\"default\"\n              onClick={handleVerifyConnectivity}\n              loading={verifyingConnectivity}\n              disabled={!isFormValid() || verifyingConnectivity}\n            >\n              {verifyingConnectivity\n                ? t(\"model.dialog.button.verifying\")\n                : t(\"model.dialog.button.verify\")}\n            </Button>\n          </div>\n        </div>\n\n        <div className=\"flex justify-end space-x-3\">\n          <Button onClick={onClose}>{t(\"common.button.cancel\")}</Button>\n          <Button\n            type=\"primary\"\n            onClick={handleSave}\n            loading={loading}\n            disabled={!isFormValid()}\n          >\n            {t(\"common.button.save\")}\n          </Button>\n        </div>\n      </div>\n    </Modal>\n  );\n};\n\n// New: provider config edit dialog (only apiKey and maxTokens)\ninterface ProviderConfigEditDialogProps {\n  isOpen: boolean\n  initialApiKey?: string\n  initialMaxTokens?: string\n  modelType?: ModelType\n  onClose: () => void\n  onSave: (config: { apiKey: string; maxTokens: number }) => Promise<void> | void\n}\n\nexport const ProviderConfigEditDialog = ({\n  isOpen,\n  initialApiKey = '',\n  initialMaxTokens = '4096',\n  modelType,\n  onClose,\n  onSave,\n}: ProviderConfigEditDialogProps) => {\n  const { t } = useTranslation()\n  const [apiKey, setApiKey] = useState<string>(initialApiKey)\n  const [maxTokens, setMaxTokens] = useState<string>(initialMaxTokens)\n  const [saving, setSaving] = useState<boolean>(false)\n\n  useEffect(() => {\n    setApiKey(initialApiKey)\n    setMaxTokens(initialMaxTokens)\n  }, [initialApiKey, initialMaxTokens])\n\n  const valid = () => {\n    const parsed = parseInt(maxTokens)\n    return !Number.isNaN(parsed) && parsed >= 0\n  }\n\n  const handleSave = async () => {\n    if (!valid()) return\n    try {\n      setSaving(true)\n      await onSave({ apiKey: apiKey.trim() === '' ? 'sk-no-api-key' : apiKey, maxTokens: parseInt(maxTokens) })\n      onClose()\n    } finally {\n      setSaving(false)\n    }\n  }\n\n  const isEmbeddingModel = modelType === MODEL_TYPES.EMBEDDING || modelType === MODEL_TYPES.MULTI_EMBEDDING\n\n  return (\n    <Modal\n      title={t('common.button.editConfig')}\n      open={isOpen}\n      onCancel={onClose}\n      footer={null}\n      destroyOnHidden\n    >\n      <div className=\"space-y-4\">\n        <div>\n          <label className=\"block mb-1 text-sm font-medium text-gray-700\">\n            {t('model.dialog.label.apiKey')}\n          </label>\n          <Input.Password value={apiKey} onChange={(e) => setApiKey(e.target.value)} />\n        </div>\n        {!isEmbeddingModel && (\n          <div>\n            <label className=\"block mb-1 text-sm font-medium text-gray-700\">\n              {t('model.dialog.label.maxTokens')}\n            </label>\n            <Input value={maxTokens} onChange={(e) => setMaxTokens(e.target.value)} />\n          </div>\n        )}\n        <div className=\"flex justify-end space-x-3\">\n          <Button onClick={onClose}>{t('common.button.cancel')}</Button>\n          <Button type=\"primary\" onClick={handleSave} loading={saving} disabled={!valid()}>\n            {t('common.button.save')}\n          </Button>\n        </div>\n      </div>\n    </Modal>\n  )\n} "
  },
  {
    "path": "frontend/app/[locale]/models/components/model/ModelListCard.tsx",
    "content": "\"use strict\";\nimport { useEffect, useState } from 'react'\nimport { useTranslation } from 'react-i18next'\n\nimport { Select, Tooltip, Tag } from 'antd'\nimport { CloseOutlined } from '@ant-design/icons'\n\nimport { MODEL_TYPES, MODEL_STATUS } from '@/const/modelConfig'\nimport {\n  getProviderIconByUrl,\n  getOfficialProviderIcon,\n} from \"@/services/modelService\";\nimport {\n  ModelConnectStatus,\n  ModelOption,\n  ModelType,\n} from \"@/types/modelConfig\";\nimport log from \"@/lib/logger\";\n\n// Unified management of model connection status colors\nconst CONNECT_STATUS_COLORS: Record<ModelConnectStatus | \"default\", string> = {\n  [MODEL_STATUS.AVAILABLE]: \"#52c41a\",\n  [MODEL_STATUS.UNAVAILABLE]: \"#ff4d4f\",\n  [MODEL_STATUS.CHECKING]: \"#2980b9\",\n  [MODEL_STATUS.UNCHECKED]: \"#95a5a6\",\n  default: \"#17202a\",\n};\n\n// Animation definition no longer includes colors, passed through styles\nconst PULSE_ANIMATION = `\n  @keyframes pulse {\n    0% {\n      transform: scale(0.95);\n      box-shadow: 0 0 0 0 rgba(41, 128, 185, 0.7);\n    }\n\n    70% {\n      transform: scale(1);\n      box-shadow: 0 0 0 5px rgba(41, 128, 185, 0);\n    }\n\n    100% {\n      transform: scale(0.95);\n      box-shadow: 0 0 0 0 rgba(41, 128, 185, 0);\n    }\n  }\n`;\n\n// Only concatenate styles, colors and animations passed through parameters\nconst getStatusStyle = (status?: ModelConnectStatus): React.CSSProperties => {\n  const color =\n    (status && CONNECT_STATUS_COLORS[status]) || CONNECT_STATUS_COLORS.default;\n  const baseStyle: React.CSSProperties = {\n    width: \"clamp(8px, 1.5vw, 12px)\",\n    height: \"clamp(8px, 1.5vw, 12px)\",\n    aspectRatio: \"1/1\",\n    borderRadius: \"50%\",\n    display: \"inline-block\",\n    marginRight: \"4px\",\n    cursor: \"pointer\",\n    transition: \"all 0.2s ease\",\n    position: \"relative\",\n    flexShrink: 0,\n    flexGrow: 0,\n    backgroundColor: color,\n    boxShadow: `0 0 3px ${color}`,\n  };\n  if (status === \"detecting\") {\n    return {\n      ...baseStyle,\n      animation: \"pulse 1.5s infinite\",\n      // Pass animation color through CSS variables\n      [\"--pulse-color\" as any]: color,\n    };\n  }\n  return baseStyle;\n};\n\n// Get tag styles corresponding to model source\nconst getSourceTagStyle = (source: string): React.CSSProperties => {\n  const baseStyle: React.CSSProperties = {\n    marginRight: \"4px\",\n    fontSize: \"12px\",\n    lineHeight: \"16px\",\n    padding: \"0 6px\",\n    borderRadius: \"10px\",\n  };\n\n  if (source === \"ModelEngine\") {\n    return {\n      ...baseStyle,\n      color: \"#1890ff\",\n      backgroundColor: \"#e6f7ff\",\n      borderColor: \"#91d5ff\",\n    };\n  } else if (source === \"自定义\" || source === \"Custom\") {\n    return {\n      ...baseStyle,\n      color: \"#722ed1\",\n      backgroundColor: \"#f9f0ff\",\n      borderColor: \"#d3adf7\",\n    };\n  } else {\n    return {\n      ...baseStyle,\n      color: \"#595959\",\n      backgroundColor: \"#fafafa\",\n      borderColor: \"#d9d9d9\",\n    };\n  }\n};\n\nconst { Option } = Select;\n\ninterface ModelListCardProps {\n  type: ModelType;\n  modelId: string;\n  modelTypeName: string;\n  selectedModel: string;\n  onModelChange: (value: string) => void;\n  models: ModelOption[];\n  onVerifyModel?: (modelName: string, modelType: ModelType) => void;\n  errorFields?: { [key: string]: boolean };\n}\n\nexport const ModelListCard = ({\n  type,\n  modelId,\n  modelTypeName,\n  selectedModel,\n  onModelChange,\n  models,\n  onVerifyModel,\n  errorFields,\n}: ModelListCardProps) => {\n  const { t } = useTranslation();\n\n  // Add model list state for updates\n  const [modelsData, setModelsData] = useState<ModelOption[]>([...models]);\n\n  // Create a style element in the component containing animation definitions\n  useEffect(() => {\n    // Create style element\n    const styleElement = document.createElement(\"style\");\n    styleElement.type = \"text/css\";\n    styleElement.innerHTML = PULSE_ANIMATION;\n    document.head.appendChild(styleElement);\n\n    // Cleanup function, remove style element when component unmounts\n    return () => {\n      document.head.removeChild(styleElement);\n    };\n  }, []);\n\n  // Get filtered models by type\n  const getFilteredModels = (): ModelOption[] => {\n    return modelsData.filter((model) => model.type === type);\n  };\n\n  // Get model source label based on source field\n  const getModelSource = (displayName: string): string => {\n    const model = modelsData.find(\n      (m) => m.type === type && m.displayName === displayName\n    );\n\n    if (!model) return t(\"model.source.unknown\");\n\n    // Return source label based on model.source\n    if (model.source === \"modelengine\") {\n      return t(\"model.source.modelEngine\");\n    } else if (model.source === \"silicon\") {\n      return t(\"model.source.silicon\");\n    } else if (model.source===\"dashscope\"){\n      return t(\"model.source.dashscope\");\n    }else  if (model.source===\"tokenpony\"){\n      return t(\"model.source.tokenpony\");\n    } else if (model.source === \"OpenAI-API-Compatible\") {\n      return t(\"model.source.custom\");\n    }\n\n    return t(\"model.source.unknown\");\n  };\n\n  const filteredModels = getFilteredModels();\n\n  // Group models by source for display\n  const groupedModels = {\n    modelengine: filteredModels.filter((m) => m.source === \"modelengine\"),\n    silicon: filteredModels.filter((m) => m.source === \"silicon\"),\n    dashscope: filteredModels.filter((m) => m.source === \"dashscope\"),\n    tokenpony: filteredModels.filter((m) => m.source === \"tokenpony\"),\n    custom: filteredModels.filter((m) => m.source === \"OpenAI-API-Compatible\"),\n  };\n\n  // When parent component's model list updates, update local state\n  useEffect(() => {\n    setModelsData(models);\n  }, [models]);\n\n  // Handle status indicator click event\n  const handleStatusClick = (e: React.MouseEvent, displayName: string) => {\n    e.stopPropagation(); // Prevent event bubbling\n    e.preventDefault(); // Prevent default behavior\n    e.nativeEvent.stopImmediatePropagation(); // Prevent all sibling event handlers\n\n    if (onVerifyModel && displayName) {\n      // Call verification function (parent component will update status)\n      onVerifyModel(displayName, type);\n    }\n\n    return false; // Ensure no further bubbling\n  };\n\n  return (\n    <div>\n      <div className=\"font-medium mb-1.5 flex items-center justify-between\">\n        <div className=\"flex items-center\">\n          {modelTypeName}\n          {modelTypeName === t(\"model.type.main\") && (\n            <span className=\"text-red-500 ml-1\">*</span>\n          )}\n        </div>\n        {selectedModel && (\n          <div className=\"flex items-center\">\n            <Tag style={getSourceTagStyle(getModelSource(selectedModel))}>\n              {getModelSource(selectedModel)}\n            </Tag>\n          </div>\n        )}\n      </div>\n      <Select\n        style={{\n          width: \"100%\",\n        }}\n        placeholder={t(\"model.select.placeholder\")}\n        value={selectedModel || undefined}\n        onChange={(value) => {\n          // Prevent duplicate onChange calls by checking if value actually changed\n          if (value !== selectedModel) {\n            onModelChange(value || \"\");\n          }\n        }}\n        allowClear={{\n          clearIcon: <CloseOutlined />,\n        }}\n        size=\"middle\"\n        onClick={(e) => e.stopPropagation()}\n        getPopupContainer={(triggerNode) =>\n          triggerNode.parentNode as HTMLElement\n        }\n        status={errorFields && errorFields[`${type}.${modelId}`] ? \"error\" : \"\"}\n        className={\n          errorFields && errorFields[`${type}.${modelId}`] ? \"error-select\" : \"\"\n        }\n      >\n        {groupedModels.modelengine.length > 0 && (\n          <Select.OptGroup label={t(\"model.group.modelEngine\")}>\n            {groupedModels.modelengine.map((model) => (\n              <Option\n                key={`${type}-${model.name}-modelengine`}\n                value={model.displayName}\n              >\n                <div\n                  className=\"flex items-center justify-between\"\n                  style={{ minWidth: 0 }}\n                >\n                  <div\n                    className=\"flex items-center font-medium truncate\"\n                    style={{ flex: \"1 1 auto\", minWidth: 0 }}\n                    title={model.displayName}\n                  >\n                    <img\n                      src={getOfficialProviderIcon()}\n                      alt=\"provider\"\n                      className=\"w-4 h-4 rounded mr-2 flex-shrink-0\"\n                    />\n                    <span className=\"truncate\">{model.displayName}</span>\n                  </div>\n                  <div\n                    style={{\n                      flex: \"0 0 auto\",\n                      display: \"flex\",\n                      alignItems: \"center\",\n                      marginLeft: \"8px\",\n                    }}\n                  >\n                    <Tooltip title={t(\"model.status.tooltip\")}>\n                      <span\n                        onClick={(e) => handleStatusClick(e, model.displayName)}\n                        onMouseDown={(e: React.MouseEvent) => {\n                          e.stopPropagation();\n                          e.preventDefault();\n                        }}\n                        style={getStatusStyle(model.connect_status)}\n                        className=\"status-indicator\"\n                      />\n                    </Tooltip>\n                  </div>\n                </div>\n              </Option>\n            ))}\n          </Select.OptGroup>\n        )}\n        {groupedModels.silicon.length > 0 && (\n          <Select.OptGroup label={t(\"model.group.silicon\")}>\n            {groupedModels.silicon.map((model) => (\n              <Option\n                key={`${type}-${model.displayName}-silicon`}\n                value={model.displayName}\n              >\n                <div\n                  className=\"flex items-center justify-between\"\n                  style={{ minWidth: 0 }}\n                >\n                  <div\n                    className=\"flex items-center font-medium truncate\"\n                    style={{ flex: \"1 1 auto\", minWidth: 0 }}\n                    title={model.displayName}\n                  >\n                    <img\n                      src={getProviderIconByUrl(model.apiUrl)}\n                      alt=\"provider\"\n                      className=\"w-4 h-4 rounded mr-2 flex-shrink-0\"\n                    />\n                    <span className=\"truncate\">{model.displayName}</span>\n                  </div>\n                  <div\n                    style={{\n                      flex: \"0 0 auto\",\n                      display: \"flex\",\n                      alignItems: \"center\",\n                      marginLeft: \"8px\",\n                    }}\n                  >\n                    <Tooltip title={t(\"model.status.tooltip\")}>\n                      <span\n                        onClick={(e) => handleStatusClick(e, model.displayName)}\n                        onMouseDown={(e: React.MouseEvent) => {\n                          e.stopPropagation();\n                          e.preventDefault();\n                        }}\n                        style={getStatusStyle(model.connect_status)}\n                        className=\"status-indicator\"\n                      />\n                    </Tooltip>\n                  </div>\n                </div>\n              </Option>\n            ))}\n          </Select.OptGroup>\n        )}\n        {groupedModels.dashscope.length > 0 && (\n          <Select.OptGroup label={t(\"model.group.dashscope\")}>\n            {groupedModels.dashscope.map((model) => (\n              <Option\n                key={`${type}-${model.displayName}-dashscope`}\n                value={model.displayName}\n              >\n                <div\n                  className=\"flex items-center justify-between\"\n                  style={{ minWidth: 0 }}\n                >\n                  <div\n                    className=\"flex items-center font-medium truncate\"\n                    style={{ flex: \"1 1 auto\", minWidth: 0 }}\n                    title={model.displayName}\n                  >\n                    <img\n                      src={getProviderIconByUrl(model.apiUrl)}\n                      alt=\"provider\"\n                      className=\"w-4 h-4 rounded mr-2 flex-shrink-0\"\n                    />\n                    <span className=\"truncate\">{model.displayName}</span>\n                  </div>\n                  <div\n                    style={{\n                      flex: \"0 0 auto\",\n                      display: \"flex\",\n                      alignItems: \"center\",\n                      marginLeft: \"8px\",\n                    }}\n                  >\n                    <Tooltip title={t(\"model.status.tooltip\")}>\n                      <span\n                        onClick={(e) => handleStatusClick(e, model.displayName)}\n                        onMouseDown={(e: React.MouseEvent) => {\n                          e.stopPropagation();\n                          e.preventDefault();\n                        }}\n                        style={getStatusStyle(model.connect_status)}\n                        className=\"status-indicator\"\n                      />\n                    </Tooltip>\n                  </div>\n                </div>\n              </Option>\n            ))}\n          </Select.OptGroup>\n        )}\n        {groupedModels.tokenpony.length > 0 && (\n          <Select.OptGroup label={t(\"model.group.tokenpony\")}>\n            {groupedModels.tokenpony.map((model) => (\n              <Option\n                key={`${type}-${model.displayName}-tokenpony`}\n                value={model.displayName}\n              >\n                <div\n                  className=\"flex items-center justify-between\"\n                  style={{ minWidth: 0 }}\n                >\n                  <div\n                    className=\"flex items-center font-medium truncate\"\n                    style={{ flex: \"1 1 auto\", minWidth: 0 }}\n                    title={model.displayName}\n                  >\n                    <img\n                      src={getProviderIconByUrl(model.apiUrl)}\n                      alt=\"provider\"\n                      className=\"w-4 h-4 rounded mr-2 flex-shrink-0\"\n                    />\n                    <span className=\"truncate\">{model.displayName}</span>\n                  </div>\n                  <div\n                    style={{\n                      flex: \"0 0 auto\",\n                      display: \"flex\",\n                      alignItems: \"center\",\n                      marginLeft: \"8px\",\n                    }}\n                  >\n                    <Tooltip title={t(\"model.status.tooltip\")}>\n                      <span\n                        onClick={(e) => handleStatusClick(e, model.displayName)}\n                        onMouseDown={(e: React.MouseEvent) => {\n                          e.stopPropagation();\n                          e.preventDefault();\n                        }}\n                        style={getStatusStyle(model.connect_status)}\n                        className=\"status-indicator\"\n                      />\n                    </Tooltip>\n                  </div>\n                </div>\n              </Option>\n            ))}\n          </Select.OptGroup>\n        )}\n        {groupedModels.custom.length > 0 && (\n          <Select.OptGroup label={t(\"model.group.custom\")}>\n            {groupedModels.custom.map((model) => (\n              <Option\n                key={`${type}-${model.displayName}-custom`}\n                value={model.displayName}\n              >\n                <div\n                  className=\"flex items-center justify-between\"\n                  style={{ minWidth: 0 }}\n                >\n                  <div\n                    className=\"flex items-center font-medium truncate\"\n                    style={{ flex: \"1 1 auto\", minWidth: 0 }}\n                    title={model.displayName}\n                  >\n                    <img\n                      src={getProviderIconByUrl(model.apiUrl)}\n                      alt=\"provider\"\n                      className=\"w-4 h-4 rounded mr-2 flex-shrink-0\"\n                    />\n                    <span className=\"truncate\">{model.displayName}</span>\n                  </div>\n                  <div\n                    style={{\n                      flex: \"0 0 auto\",\n                      display: \"flex\",\n                      alignItems: \"center\",\n                      marginLeft: \"8px\",\n                    }}\n                  >\n                    <Tooltip title={t(\"model.status.tooltip\")}>\n                      <span\n                        onClick={(e) => handleStatusClick(e, model.displayName)}\n                        onMouseDown={(e: React.MouseEvent) => {\n                          e.stopPropagation();\n                          e.preventDefault();\n                        }}\n                        style={getStatusStyle(model.connect_status)}\n                        className=\"status-indicator\"\n                      />\n                    </Tooltip>\n                  </div>\n                </div>\n              </Option>\n            ))}\n          </Select.OptGroup>\n        )}\n      </Select>\n    </div>\n  );\n};\n"
  },
  {
    "path": "frontend/app/[locale]/models/components/modelConfig.tsx",
    "content": "import {\n  forwardRef,\n  useEffect,\n  useImperativeHandle,\n  useState,\n  useRef,\n  ReactNode,\n} from \"react\";\nimport { useTranslation } from \"react-i18next\";\n\nimport { Button, Card, Col, Row, Space, App } from \"antd\";\nimport { Plus, ShieldCheck, RefreshCw, PenLine } from \"lucide-react\";\n\nimport {\n  MODEL_TYPES,\n  MODEL_STATUS,\n  LAYOUT_CONFIG,\n  CARD_THEMES,\n} from \"@/const/modelConfig\";\nimport { useConfig } from \"@/hooks/useConfig\";\nimport { modelService } from \"@/services/modelService\";\nimport { ModelOption, ModelType } from \"@/types/modelConfig\";\nimport log from \"@/lib/logger\";\n\nimport { ModelListCard } from \"./model/ModelListCard\";\nimport { ModelAddDialog } from \"./model/ModelAddDialog\";\nimport { ModelDeleteDialog } from \"./model/ModelDeleteDialog\";\nimport { useConfirmModal } from \"@/hooks/useConfirmModal\";\nimport { Can } from \"@/components/permission/Can\";\n\n// ModelConnectStatus type definition\ntype ModelConnectStatus = (typeof MODEL_STATUS)[keyof typeof MODEL_STATUS];\n\n// Model data structure\nconst getModelData = (t: any) => ({\n  llm: {\n    title: t(\"modelConfig.category.llm\"),\n    options: [{ id: \"main\", name: t(\"modelConfig.option.mainModel\") }],\n  },\n  embedding: {\n    title: t(\"modelConfig.category.embedding\"),\n    options: [\n      {\n        id: MODEL_TYPES.EMBEDDING,\n        name: t(\"modelConfig.option.embeddingModel\"),\n      },\n      {\n        id: MODEL_TYPES.MULTI_EMBEDDING,\n        name: t(\"modelConfig.option.multiEmbeddingModel\"),\n      },\n    ],\n  },\n  reranker: {\n    title: t(\"modelConfig.category.reranker\"),\n    options: [{ id: \"reranker\", name: t(\"modelConfig.option.rerankerModel\") }],\n  },\n  multimodal: {\n    title: t(\"modelConfig.category.multimodal\"),\n    options: [{ id: MODEL_TYPES.VLM, name: t(\"modelConfig.option.vlmModel\") }],\n  },\n  voice: {\n    title: t(\"modelConfig.category.voice\"),\n    options: [\n      { id: MODEL_TYPES.TTS, name: t(\"modelConfig.option.ttsModel\") },\n      { id: MODEL_TYPES.STT, name: t(\"modelConfig.option.sttModel\") },\n    ],\n  },\n});\n\n// Define the methods exposed by the component\nexport interface ModelConfigSectionRef {\n  verifyModels: () => Promise<void>;\n  getSelectedModels: () => Record<string, Record<string, string>>;\n  getEmbeddingConnectivity: () => {\n    embedding?: ModelConnectStatus;\n    multi_embedding?: ModelConnectStatus;\n  };\n  // Programmatically simulate a dropdown change and trigger onChange logic\n  simulateDropdownChange: (\n    category: string,\n    option: string,\n    displayName: string\n  ) => Promise<void>;\n}\n\ninterface ModelConfigSectionProps {\n  skipVerification?: boolean;\n}\n\nexport const ModelConfigSection = forwardRef<\n  ModelConfigSectionRef,\n  ModelConfigSectionProps\n>((props, ref): ReactNode => {\n  const { t } = useTranslation();\n  const { message } = App.useApp();\n\n  const { skipVerification = false } = props;\n  const { modelConfig, updateModelConfig, appConfig, saveConfig } = useConfig();\n  const modelEngineEnable = appConfig?.modelEngineEnabled ?? false;\n\n  const modelData = getModelData(t);\n  const { confirm } = useConfirmModal();\n\n  // State management\n  const [models, setModels] = useState<ModelOption[]>([]);\n  const [isAddModalOpen, setIsAddModalOpen] = useState(false);\n  const [addModalDefaultIsBatch, setAddModalDefaultIsBatch] =\n    useState<boolean>(false);\n  const [isDeleteModalOpen, setIsDeleteModalOpen] = useState(false);\n  const [isVerifying, setIsVerifying] = useState(false);\n\n  // Error state management\n  const [errorFields, setErrorFields] = useState<{ [key: string]: boolean }>({\n    \"llm.main\": false,\n    \"embedding.embedding\": false,\n    \"embedding.multi_embedding\": false,\n  });\n\n  // Controller for canceling API requests\n  const abortControllerRef = useRef<AbortController | null>(null);\n  // Throttle timer\n  const throttleTimerRef = useRef<NodeJS.Timeout | null>(null);\n  const saveTimerRef = useRef<NodeJS.Timeout | null>(null);\n\n  const scheduleAutoSave = () => {\n    if (saveTimerRef.current) {\n      clearTimeout(saveTimerRef.current);\n    }\n    saveTimerRef.current = setTimeout(async () => {\n      try {\n        await saveConfig();\n      } finally {\n        saveTimerRef.current = null;\n      }\n    }, 600);\n  };\n\n  // Model selection state\n  const [selectedModels, setSelectedModels] = useState<\n    Record<string, Record<string, string>>\n  >({\n    llm: { main: \"\" },\n    embedding: { embedding: \"\", multi_embedding: \"\" },\n    reranker: { reranker: \"\" },\n    multimodal: { vlm: \"\" },\n    voice: { tts: \"\", stt: \"\" },\n  });\n\n  // Load model lists once config data is available from React Query\n  const initialLoadDoneRef = useRef(false);\n  useEffect(() => {\n    if (modelConfig && !initialLoadDoneRef.current) {\n      initialLoadDoneRef.current = true;\n      loadModelLists(true);\n    }\n  }, [modelConfig]);\n\n  // Listen to field error highlight events\n  useEffect(() => {\n    const handleHighlightMissingField = (event: any) => {\n      const { field } = event.detail;\n\n      if (field === \"llm.main\" || field === \"embedding.embedding\") {\n        setErrorFields((prev) => ({\n          ...prev,\n          [field]: true,\n        }));\n\n        // Find the corresponding card and scroll it into view\n        setTimeout(() => {\n          const fieldParts = field.split(\".\");\n          const cardType = fieldParts[0];\n\n          const selector =\n            cardType === MODEL_TYPES.EMBEDDING\n              ? \".model-card:nth-child(2)\"\n              : \".model-card:nth-child(1)\";\n\n          const card = document.querySelector(selector);\n          if (card) {\n            card.scrollIntoView({ behavior: \"smooth\", block: \"center\" });\n          }\n        }, 100);\n      }\n    };\n\n    window.addEventListener(\n      \"highlightMissingField\",\n      handleHighlightMissingField\n    );\n    return () => {\n      window.removeEventListener(\n        \"highlightMissingField\",\n        handleHighlightMissingField\n      );\n    };\n  }, []);\n\n  // Compute current embedding connectivity from selected models and model lists\n  const getEmbeddingConnectivity = () => {\n    const result: {\n      embedding?: ModelConnectStatus;\n      multi_embedding?: ModelConnectStatus;\n    } = {};\n\n    const resolveStatus = (\n      displayName: string,\n      modelType: ModelType\n    ): ModelConnectStatus | undefined => {\n      if (!displayName) return undefined;\n      const model = models.find(\n        (m) => m.displayName === displayName && m.type === modelType\n      );\n      return model?.connect_status as ModelConnectStatus | undefined;\n    };\n\n    result.embedding = resolveStatus(\n      selectedModels.embedding?.embedding,\n      MODEL_TYPES.EMBEDDING as unknown as ModelType\n    );\n    result.multi_embedding = resolveStatus(\n      selectedModels.embedding?.multi_embedding,\n      MODEL_TYPES.MULTI_EMBEDDING as unknown as ModelType\n    );\n\n    return result;\n  };\n\n  // Expose methods to parent component\n  useImperativeHandle(ref, () => ({\n    verifyModels,\n    getSelectedModels: () => selectedModels,\n    getEmbeddingConnectivity,\n    simulateDropdownChange: async (\n      category: string,\n      option: string,\n      displayName: string\n    ) => {\n      // Directly apply model change to mimic Select onChange behavior\n      await applyModelChange(category, option, displayName);\n    },\n  }));\n\n  // Load model lists\n  const loadModelLists = async (skipVerify: boolean = false) => {\n    if (!modelConfig) return;\n\n    try {\n      const allModels = await modelService.getAllModels();\n\n      // Update state with all models\n      setModels(allModels);\n\n      // Load selected models from configuration and check if models still exist\n      const llmMain = modelConfig.llm.displayName;\n      const llmMainExists = llmMain\n        ? allModels.some(\n            (m) => m.displayName === llmMain && m.type === MODEL_TYPES.LLM\n          )\n        : true;\n\n      const embedding = modelConfig.embedding.displayName;\n      const embeddingExists = embedding\n        ? allModels.some(\n            (m) =>\n              m.displayName === embedding && m.type === MODEL_TYPES.EMBEDDING\n          )\n        : true;\n\n      const multiEmbedding = modelConfig.multiEmbedding.displayName;\n      const multiEmbeddingExists = multiEmbedding\n        ? allModels.some(\n            (m) =>\n              m.displayName === multiEmbedding &&\n              m.type === MODEL_TYPES.MULTI_EMBEDDING\n          )\n        : true;\n\n      const rerank = modelConfig.rerank.displayName;\n      const rerankExists = rerank\n        ? allModels.some(\n            (m) => m.displayName === rerank && m.type === MODEL_TYPES.RERANK\n          )\n        : true;\n\n      const vlm = modelConfig.vlm.displayName;\n      const vlmExists = vlm\n        ? allModels.some(\n            (m) => m.displayName === vlm && m.type === MODEL_TYPES.VLM\n          )\n        : true;\n\n      const stt = modelConfig.stt.displayName;\n      const sttExists = stt\n        ? allModels.some(\n            (m) => m.displayName === stt && m.type === MODEL_TYPES.STT\n          )\n        : true;\n\n      const tts = modelConfig.tts.displayName;\n      const ttsExists = tts\n        ? allModels.some(\n            (m) => m.displayName === tts && m.type === MODEL_TYPES.TTS\n          )\n        : true;\n\n      // Create updated selected models object\n      const updatedSelectedModels = {\n        llm: {\n          main: llmMainExists ? llmMain : \"\",\n        },\n        embedding: {\n          embedding: embeddingExists ? embedding : \"\",\n          multi_embedding: multiEmbeddingExists ? multiEmbedding : \"\",\n        },\n        reranker: {\n          reranker: rerankExists ? rerank : \"\",\n        },\n        multimodal: {\n          vlm: vlmExists ? vlm : \"\",\n        },\n        voice: {\n          tts: ttsExists ? tts : \"\",\n          stt: sttExists ? stt : \"\",\n        },\n      };\n\n      // Update state\n      setSelectedModels(updatedSelectedModels);\n\n      // If any models were deleted, synchronize and update locally stored configuration\n      const configUpdates: any = {};\n\n      if (!llmMainExists && llmMain) {\n        configUpdates.llm = {\n          modelName: \"\",\n          displayName: \"\",\n          apiConfig: { apiKey: \"\", modelUrl: \"\" },\n        };\n      }\n\n      if (!embeddingExists && embedding) {\n        configUpdates.embedding = {\n          modelName: \"\",\n          displayName: \"\",\n          apiConfig: { apiKey: \"\", modelUrl: \"\" },\n        };\n      }\n\n      if (!multiEmbeddingExists && multiEmbedding) {\n        configUpdates.multiEmbedding = {\n          modelName: \"\",\n          displayName: \"\",\n          apiConfig: { apiKey: \"\", modelUrl: \"\" },\n        };\n      }\n\n      if (!rerankExists && rerank) {\n        configUpdates.rerank = { modelName: \"\", displayName: \"\" };\n      }\n\n      if (!vlmExists && vlm) {\n        configUpdates.vlm = { modelName: \"\", displayName: \"\" };\n      }\n\n      if (!sttExists && stt) {\n        configUpdates.stt = { modelName: \"\", displayName: \"\" };\n      }\n\n      if (!ttsExists && tts) {\n        configUpdates.tts = { modelName: \"\", displayName: \"\" };\n      }\n\n      // If there are configurations to update, update localStorage\n      if (Object.keys(configUpdates).length > 0) {\n        updateModelConfig(configUpdates);\n        // Persist cleared/adjusted selections\n        scheduleAutoSave();\n      }\n\n      // Check if there are configured models that need connectivity verification\n      const hasConfiguredModels =\n        !!modelConfig.llm.modelName ||\n        !!modelConfig.embedding.modelName ||\n        !!modelConfig.multiEmbedding.modelName ||\n        !!modelConfig.rerank.modelName ||\n        !!modelConfig.vlm.modelName ||\n        !!modelConfig.tts.modelName ||\n        !!modelConfig.stt.modelName;\n\n      // Perform verification directly here instead of using setTimeout\n      // This ensures we use model data from the current function scope instead of relying on state updates\n      if (allModels.length > 0) {\n        if (hasConfiguredModels && !skipVerify) {\n          // Call internal verification function, passing model data and latest selected model information\n          verifyModelsInternal(allModels, updatedSelectedModels);\n        }\n      }\n    } catch (error) {\n      log.error(t(\"modelConfig.error.loadList\"), error);\n      message.error(t(\"modelConfig.error.loadListFailed\"));\n    }\n  };\n\n  // Internal verification function that accepts model data as parameters and doesn't depend on state\n  const verifyModelsInternal = async (\n    allModels: ModelOption[],\n    modelsToCheck?: Record<string, Record<string, string>> // Optional parameter to pass latest selected models\n  ) => {\n    // If already verifying, don't execute again\n    if (isVerifying) {\n      return;\n    }\n\n    // Ensure model data is loaded\n    if (allModels.length === 0) {\n      return;\n    }\n\n    // Use passed model selection data or current state\n    const currentSelectedModels = modelsToCheck || selectedModels;\n\n    // Check if there are selected models that need verification\n    let hasSelectedModels = false;\n    for (const category in currentSelectedModels) {\n      for (const optionId in currentSelectedModels[category]) {\n        if (currentSelectedModels[category][optionId]) {\n          hasSelectedModels = true;\n          break;\n        }\n      }\n      if (hasSelectedModels) break;\n    }\n\n    // If no selected models in state, try to get directly from configuration\n    if (!hasSelectedModels) {\n      if (!modelConfig) return;\n\n      // Directly check if each model exists in configuration\n      const hasLlmMain = !!modelConfig.llm.modelName;\n      const hasEmbedding = !!modelConfig.embedding.modelName;\n      const hasReranker = !!modelConfig.rerank.modelName;\n      const hasVlm = !!modelConfig.vlm.modelName;\n      const hasTts = !!modelConfig.tts.modelName;\n      const hasStt = !!modelConfig.stt.modelName;\n\n      hasSelectedModels =\n        hasLlmMain || hasEmbedding || hasReranker || hasVlm || hasTts || hasStt;\n\n      if (hasSelectedModels) {\n        currentSelectedModels.llm.main = modelConfig.llm.modelName;\n        currentSelectedModels.embedding.embedding =\n          modelConfig.embedding.modelName;\n        currentSelectedModels.embedding.multi_embedding =\n          modelConfig.multiEmbedding.modelName || \"\";\n        currentSelectedModels.reranker.reranker = modelConfig.rerank.modelName;\n        currentSelectedModels.multimodal.vlm = modelConfig.vlm.modelName;\n        currentSelectedModels.voice.tts = modelConfig.tts.modelName;\n        currentSelectedModels.voice.stt = modelConfig.stt.modelName;\n      } else {\n        return;\n      }\n    }\n\n    setIsVerifying(true);\n\n    // Prepare a new AbortController\n    const abortController = new AbortController();\n    const signal = abortController.signal;\n\n    // Save reference for cancellation\n    abortControllerRef.current = abortController;\n\n    try {\n      // Prepare list of models to verify\n      const modelsToVerify: Array<{\n        category: string;\n        optionId: string;\n        modelName: string;\n        modelType: ModelType;\n      }> = [];\n\n      // Collect all models that need verification, using passed selected model data\n      for (const [category, options] of Object.entries(currentSelectedModels)) {\n        for (const [optionId, modelName] of Object.entries(options)) {\n          if (!modelName) continue;\n\n          let modelType = category as ModelType;\n          if (category === \"voice\") {\n            modelType =\n              optionId === MODEL_TYPES.TTS ? MODEL_TYPES.TTS : MODEL_TYPES.STT;\n          } else if (category === MODEL_TYPES.RERANK) {\n            modelType = MODEL_TYPES.RERANK;\n          } else if (category === \"multimodal\") {\n            modelType = MODEL_TYPES.VLM;\n          } else if (category === MODEL_TYPES.EMBEDDING) {\n            modelType =\n              optionId === MODEL_TYPES.MULTI_EMBEDDING\n                ? MODEL_TYPES.MULTI_EMBEDDING\n                : MODEL_TYPES.EMBEDDING;\n          }\n\n          // Add model to verification list\n          modelsToVerify.push({\n            category,\n            optionId,\n            modelName,\n            modelType,\n          });\n\n          // Update model status to \"checking\"\n          updateModelStatus(modelName, modelType, MODEL_STATUS.CHECKING);\n        }\n      }\n\n      // If no models need verification, show message and return\n      if (modelsToVerify.length === 0) {\n        message.info({ content: \"没有需要验证的模型\", key: \"verifying\" });\n        setIsVerifying(false);\n        abortControllerRef.current = null;\n        return;\n      }\n\n      // Verify all models in parallel\n      await Promise.all(\n        modelsToVerify.map(async ({ modelName, modelType }) => {\n          try {\n            const isConnected = await modelService.verifyCustomModel(\n              modelName,\n              signal\n            );\n\n            // Update model status\n            updateModelStatus(\n              modelName,\n              modelType,\n              isConnected ? MODEL_STATUS.AVAILABLE : MODEL_STATUS.UNAVAILABLE\n            );\n          } catch (error: any) {\n            // Check if request was cancelled\n            if (error.name === \"AbortError\") {\n              return;\n            }\n\n            log.error(`Failed to verify model ${modelName}:`, error);\n            updateModelStatus(modelName, modelType, MODEL_STATUS.UNAVAILABLE);\n          }\n        })\n      );\n    } catch (error: any) {\n      // Check if request was cancelled\n      if (error.name === \"AbortError\") {\n        log.log(\"Verification cancelled by user\");\n        return;\n      }\n\n      log.error(\"Model verification failed:\", error);\n    } finally {\n      if (!signal.aborted) {\n        setIsVerifying(false);\n        abortControllerRef.current = null;\n      }\n    }\n  };\n\n  // Verify all selected models\n  const verifyModels = async () => {\n    // If already verifying, don't execute again\n    if (isVerifying) {\n      return;\n    }\n\n    // Ensure model data is loaded\n    if (models.length === 0) {\n      // Model data not yet loaded, skip verification\n      return;\n    }\n\n    // Call internal verification function\n    await verifyModelsInternal(models, selectedModels);\n  };\n\n  // Open batch add dialog with ModelEngine provider pre-selected\n  const handleSyncModels = () => {\n    setAddModalDefaultIsBatch(true);\n    setIsAddModalOpen(true);\n  };\n\n  // Verify single model connection status (with throttling logic)\n  const verifyOneModel = async (displayName: string, modelType: ModelType) => {\n    // If empty model name, return directly\n    if (!displayName) return;\n\n    // Immediately update status to \"checking\" for instant user feedback\n    updateModelStatus(displayName, modelType, MODEL_STATUS.CHECKING);\n\n    // If in throttling, clear previous timer\n    if (throttleTimerRef.current) {\n      clearTimeout(throttleTimerRef.current);\n    }\n\n    // Use throttling, delay 1s before verification to avoid repeated verification when switching models frequently\n    throttleTimerRef.current = setTimeout(async () => {\n      try {\n        // Use modelService to verify model\n        const isConnected = await modelService.verifyCustomModel(displayName);\n\n        // Update model status\n        updateModelStatus(\n          displayName,\n          modelType,\n          isConnected ? MODEL_STATUS.AVAILABLE : MODEL_STATUS.UNAVAILABLE\n        );\n      } catch (error: any) {\n        log.error(\n          t(\"modelConfig.error.verifyCustomModel\", { model: displayName }),\n          error\n        );\n        updateModelStatus(displayName, modelType, MODEL_STATUS.UNAVAILABLE);\n      } finally {\n        throttleTimerRef.current = null;\n      }\n    }, 1000);\n  };\n\n  // Apply model change logic (used by confirm modal)\n  const applyModelChange = async (\n    category: string,\n    option: string,\n    displayName: string\n  ) => {\n    // Update selected models\n    setSelectedModels((prev) => ({\n      ...prev,\n      [category]: {\n        ...prev[category],\n        [option]: displayName,\n      },\n    }));\n\n    // If has value, clear error state\n    if (displayName) {\n      setErrorFields((prev) => ({\n        ...prev,\n        [`${category}.${option}`]: false,\n      }));\n    }\n\n    // Find complete model information to get API configuration\n    let modelType = category as ModelType;\n    if (category === \"voice\") {\n      modelType =\n        option === MODEL_TYPES.TTS ? MODEL_TYPES.TTS : MODEL_TYPES.STT;\n    } else if (category === MODEL_TYPES.RERANK) {\n      modelType = MODEL_TYPES.RERANK;\n    } else if (category === \"multimodal\") {\n      modelType = MODEL_TYPES.VLM;\n    } else if (category === MODEL_TYPES.EMBEDDING) {\n      modelType =\n        option === MODEL_TYPES.MULTI_EMBEDDING\n          ? MODEL_TYPES.MULTI_EMBEDDING\n          : MODEL_TYPES.EMBEDDING;\n    }\n\n    const modelInfo = models.find(\n      (m) => m.displayName === displayName && m.type === modelType\n    );\n\n    // If newly selected model has no status, set to \"unchecked\"\n    if (modelInfo && !modelInfo.connect_status) {\n      updateModelStatus(displayName, modelType, MODEL_STATUS.UNCHECKED);\n    }\n\n    // Update configuration\n    let configKey = category;\n    if (\n      category === MODEL_TYPES.EMBEDDING &&\n      option === MODEL_TYPES.MULTI_EMBEDDING\n    ) {\n      configKey = \"multiEmbedding\";\n    } else if (category === \"multimodal\") {\n      configKey = MODEL_TYPES.VLM;\n    } else if (category === MODEL_TYPES.RERANK) {\n      configKey = MODEL_TYPES.RERANK;\n    } else if (category === \"voice\" && option === \"tts\") {\n      configKey = MODEL_TYPES.TTS;\n    } else if (category === \"voice\" && option === \"stt\") {\n      configKey = MODEL_TYPES.STT;\n    }\n\n    const apiConfig = modelInfo?.apiKey\n      ? { apiKey: modelInfo.apiKey, modelUrl: modelInfo.apiUrl || \"\" }\n      : { apiKey: \"\", modelUrl: \"\" };\n\n    let configUpdate: any;\n    if (!displayName) {\n      // Clearing selection should actively clear stored config\n      if (configKey === \"embedding\" || configKey === \"multiEmbedding\") {\n        configUpdate = {\n          [configKey]: {\n            modelName: \"\",\n            displayName: \"\",\n            apiConfig: { apiKey: \"\", modelUrl: \"\" },\n            dimension: 0,\n          },\n        };\n      } else {\n        configUpdate = {\n          [configKey]: {\n            modelName: \"\",\n            displayName: \"\",\n            apiConfig: { apiKey: \"\", modelUrl: \"\" },\n          },\n        };\n      }\n    } else {\n      configUpdate = {\n        [configKey]: {\n          modelName: modelInfo?.name || \"\",\n          displayName: displayName,\n          apiConfig,\n        },\n      };\n      // embedding needs dimension field\n      if (configKey === \"embedding\" || configKey === \"multiEmbedding\") {\n        configUpdate[configKey].dimension = modelInfo?.maxTokens || 0;\n      }\n    }\n\n    // embedding needs dimension field\n    if (configKey === \"embedding\" || configKey === \"multiEmbedding\") {\n      configUpdate[configKey].dimension = modelInfo?.maxTokens || undefined;\n    }\n\n    // Model configuration update\n    updateModelConfig(configUpdate);\n\n    // When selecting a new model, automatically verify the model connectivity\n    if (displayName) {\n      await verifyOneModel(displayName, modelType);\n    }\n\n    // Schedule auto-save of the updated configuration to backend\n    scheduleAutoSave();\n  };\n\n  // Handle model changes (with confirmation for embedding changes)\n  const handleModelChange = async (\n    category: string,\n    option: string,\n    displayName: string,\n    skipConfirm: boolean = false\n  ) => {\n    const isEmbeddingCategory =\n      category === MODEL_TYPES.EMBEDDING &&\n      (option === MODEL_TYPES.EMBEDDING ||\n        option === MODEL_TYPES.MULTI_EMBEDDING);\n\n    if (isEmbeddingCategory && !skipConfirm) {\n      const currentValue = selectedModels[category]?.[option] || \"\";\n      // Only prompt when modifying from a non-empty value to a different value\n      if (currentValue && currentValue !== displayName) {\n        confirm({\n          title: t(\"embedding.modifyWarningModal.title\"),\n          content: (\n            <div className=\"py-2\">\n              <div className=\"text-sm leading-6\">\n                {t(\"embedding.modifyWarningModal.content\")}\n              </div>\n            </div>\n          ),\n          okText: t(\"embedding.modifyWarningModal.ok_proceed\"),\n          cancelText: t(\"common.cancel\"),\n          danger: false,\n          onOk: async () => {\n            await applyModelChange(category, option, displayName);\n          },\n        });\n        return;\n      }\n      if (currentValue === displayName) {\n        return;\n      }\n    }\n\n    await applyModelChange(category, option, displayName);\n  };\n\n  // Only update local UI state, no database operations involved\n  const updateModelStatus = (\n    displayName: string,\n    modelType: string,\n    status: ModelConnectStatus\n  ) => {\n    setModels((prev) => {\n      const idx = prev.findIndex(\n        (model) => model.displayName === displayName && model.type === modelType\n      );\n      if (idx === -1) return prev;\n      const updated = [...prev];\n      updated[idx] = {\n        ...updated[idx],\n        connect_status: status,\n      };\n      return updated;\n    });\n  };\n\n  return (\n    <>\n      <div\n        style={{\n          width: \"100%\",\n          margin: \"0 auto\",\n          height: \"100%\",\n          display: \"flex\",\n          flexDirection: \"column\",\n          gap: \"12px\",\n        }}\n      >\n        <div\n          style={{\n            display: \"flex\",\n            justifyContent: \"flex-start\",\n            paddingRight: 12,\n            marginLeft: \"4px\",\n            minHeight: LAYOUT_CONFIG.BUTTON_AREA_HEIGHT,\n          }}\n        >\n          <Row gutter={[8, 8]} style={{ width: \"100%\" }}>\n            {modelEngineEnable && (\n              <Col xs={24} sm={12} md={6} lg={6} xl={6}>\n                <Button\n                  type=\"primary\"\n                  size=\"middle\"\n                  onClick={handleSyncModels}\n                  style={{ width: \"100%\" }}\n                  icon={<RefreshCw size={16} />}\n                  block\n                >\n                  <span className=\"button-text-full\">\n                    {t(\"modelConfig.button.syncModelEngine\")}\n                  </span>\n                </Button>\n              </Col>\n            )}\n            <Can permission=\"model:create\">\n              <Col xs={24} sm={12} md={6} lg={6} xl={6}>\n                <Button\n                  type=\"primary\"\n                  size=\"middle\"\n                  icon={<Plus size={16} />}\n                  onClick={() => {\n                    setAddModalDefaultIsBatch(false);\n                    setIsAddModalOpen(true);\n                  }}\n                  style={{ width: \"100%\" }}\n                  block\n                >\n                  <span className=\"button-text-full\">\n                    {t(\"modelConfig.button.addCustomModel\")}\n                  </span>\n                </Button>\n              </Col>\n            </Can>\n            <Can permission=\"model:update\">\n              <Col xs={24} sm={12} md={6} lg={6} xl={6}>\n                <Button\n                  type=\"primary\"\n                  size=\"middle\"\n                  icon={<PenLine size={16} />}\n                  onClick={() => setIsDeleteModalOpen(true)}\n                  style={{ width: \"100%\" }}\n                  block\n                >\n                  <span className=\"button-text-full\">\n                    {t(\"modelConfig.button.editCustomModel\")}\n                  </span>\n                </Button>\n              </Col>\n            </Can>\n            <Col xs={24} sm={12} md={6} lg={6} xl={6}>\n              <Button\n                type=\"primary\"\n                size=\"middle\"\n                icon={<ShieldCheck size={16} />}\n                onClick={verifyModels}\n                loading={isVerifying}\n                style={{ width: \"100%\" }}\n                block\n              >\n                <span className=\"button-text-full\">\n                  {t(\"modelConfig.button.checkConnectivity\")}\n                </span>\n              </Button>\n            </Col>\n          </Row>\n        </div>\n\n        <div\n          style={{\n            width: \"100%\",\n            padding: \"0 4px\",\n            flex: 1,\n            display: \"flex\",\n            flexDirection: \"column\",\n          }}\n        >\n          <Row\n            gutter={[LAYOUT_CONFIG.CARD_GAP, LAYOUT_CONFIG.CARD_GAP]}\n            style={{ flex: 1 }}\n          >\n            {Object.entries(modelData).map(([key, category]) => (\n              <Col\n                xs={24}\n                md={8}\n                lg={8}\n                key={key}\n                style={{ height: \"calc((100% - 12px) / 2)\" }}\n              >\n                <Card\n                  title={\n                    <div\n                      style={{\n                        display: \"flex\",\n                        alignItems: \"center\",\n                        margin: \"-12px -24px\",\n                        padding: LAYOUT_CONFIG.CARD_HEADER_PADDING,\n                        paddingBottom: \"12px\",\n                        backgroundColor:\n                          CARD_THEMES[key as keyof typeof CARD_THEMES]\n                            .backgroundColor,\n                        borderBottom: `1px solid ${\n                          CARD_THEMES[key as keyof typeof CARD_THEMES]\n                            .borderColor\n                        }`,\n                        height: `${LAYOUT_CONFIG.HEADER_HEIGHT - 12}px`, // Subtract paddingBottom\n                      }}\n                    >\n                      <h5\n                        style={{\n                          margin: 0,\n                          marginLeft: LAYOUT_CONFIG.MODEL_TITLE_MARGIN_LEFT,\n                          fontSize: \"14px\",\n                          lineHeight: \"32px\",\n                        }}\n                      >\n                        {category.title}\n                      </h5>\n                    </div>\n                  }\n                  variant=\"outlined\"\n                  className=\"model-card\"\n                  styles={{\n                    body: {\n                      padding: LAYOUT_CONFIG.CARD_BODY_PADDING,\n                      height: `calc(100% - ${LAYOUT_CONFIG.HEADER_HEIGHT}px)`,\n                    },\n                  }}\n                  style={{\n                    height: \"100%\",\n                    backgroundColor: \"#ffffff\",\n                    display: \"flex\",\n                    flexDirection: \"column\",\n                  }}\n                >\n                  <Space\n                    orientation=\"vertical\"\n                    style={{\n                      width: \"100%\",\n                      height: \"100%\",\n                    }}\n                    size={12}\n                  >\n                    {category.options.map((option) => (\n                      <ModelListCard\n                        key={option.id}\n                        type={\n                          key === \"voice\"\n                            ? option.id === MODEL_TYPES.TTS\n                              ? MODEL_TYPES.TTS\n                              : MODEL_TYPES.STT\n                            : key === \"multimodal\"\n                              ? MODEL_TYPES.VLM\n                              : key === MODEL_TYPES.EMBEDDING &&\n                                  option.id === MODEL_TYPES.MULTI_EMBEDDING\n                                ? MODEL_TYPES.MULTI_EMBEDDING\n                                : (key as ModelType)\n                        }\n                        modelId={option.id}\n                        modelTypeName={option.name}\n                        selectedModel={selectedModels[key]?.[option.id] || \"\"}\n                        onModelChange={(modelName) =>\n                          handleModelChange(key, option.id, modelName)\n                        }\n                        models={models}\n                        onVerifyModel={verifyOneModel}\n                        errorFields={errorFields}\n                      />\n                    ))}\n                  </Space>\n                </Card>\n              </Col>\n            ))}\n          </Row>\n        </div>\n\n        <ModelAddDialog\n          isOpen={isAddModalOpen}\n          onClose={() => setIsAddModalOpen(false)}\n          onSuccess={async (newModel) => {\n            await loadModelLists(true);\n            message.success(t(\"modelConfig.message.addSuccess\"));\n\n            if (newModel && newModel.name && newModel.type) {\n              setTimeout(() => {\n                verifyOneModel(newModel.name, newModel.type);\n              }, 100);\n            }\n          }}\n          defaultProvider=\"modelengine\"\n          defaultIsBatchImport={addModalDefaultIsBatch}\n        />\n\n        <ModelDeleteDialog\n          isOpen={isDeleteModalOpen}\n          onClose={() => setIsDeleteModalOpen(false)}\n          onSuccess={async () => {\n            await loadModelLists(true);\n            return;\n          }}\n          models={models}\n        />\n      </div>\n    </>\n  );\n});\n"
  },
  {
    "path": "frontend/app/[locale]/models/page.tsx",
    "content": "\"use client\";\n\nimport { useRef } from \"react\";\nimport { motion } from \"framer-motion\";\n\nimport { useSetupFlow } from \"@/hooks/useSetupFlow\";\n\nimport AppModelConfig from \"./ModelConfiguration\";\nimport { ModelConfigSectionRef } from \"./components/modelConfig\";\n\n/**\n * ModelsContent - Main component for model configuration\n * Can be used in setup flow or as standalone page\n */\nexport default function ModelsContent() {\n  // Use custom hook for common setup flow logic\n  const { pageVariants, pageTransition } = useSetupFlow({});\n\n  const modelConfigSectionRef = useRef<ModelConfigSectionRef | null>(null);\n\n  return (\n    <div className=\"w-full h-full p-8\">\n      <motion.div\n        initial=\"initial\"\n        animate=\"in\"\n        exit=\"out\"\n        variants={pageVariants}\n        transition={pageTransition}\n        style={{ width: \"100%\", height: \"100%\" }}\n      >\n        <div className=\"w-full h-full flex items-center justify-center\">\n          <AppModelConfig\n            forwardedRef={modelConfigSectionRef}\n          />\n        </div>\n      </motion.div>\n    </div>\n  );\n}\n"
  },
  {
    "path": "frontend/app/[locale]/monitoring/page.tsx",
    "content": "\"use client\";\n\nimport React from \"react\";\nimport { motion } from \"framer-motion\";\nimport { useTranslation } from \"react-i18next\";\nimport { Activity } from \"lucide-react\";\n\nimport { useSetupFlow } from \"@/hooks/useSetupFlow\";\n\n/**\n * MonitoringContent - Agent monitoring and operations coming soon page\n * This will allow admins to monitor and operate agents (health, logs, alerts)\n */\nexport default function MonitoringContent({}) {\n  const { t } = useTranslation(\"common\");\n  // Use custom hook for common setup flow logic\n  const { pageVariants, pageTransition } = useSetupFlow();\n  return (\n    <>\n      <div className=\"w-full h-full\">\n        <motion.div\n          initial=\"initial\"\n          animate=\"in\"\n          exit=\"out\"\n          variants={pageVariants}\n          transition={pageTransition}\n          className=\"w-full h-full flex items-center justify-center\"\n        >\n          <div className=\"flex flex-col items-center justify-center space-y-6 p-8 max-w-md text-center\">\n            {/* Icon */}\n            <motion.div\n              initial={{ scale: 0 }}\n              animate={{ scale: 1 }}\n              transition={{ delay: 0.2, type: \"spring\", stiffness: 200 }}\n              className=\"w-24 h-24 rounded-full bg-gradient-to-br from-emerald-500 to-sky-600 flex items-center justify-center shadow-lg\"\n            >\n              <Activity className=\"h-12 w-12 text-white\" />\n            </motion.div>\n\n            {/* Title */}\n            <motion.h1\n              initial={{ opacity: 0, y: 20 }}\n              animate={{ opacity: 1, y: 0 }}\n              transition={{ delay: 0.3 }}\n              className=\"text-3xl font-bold text-slate-800 dark:text-slate-100\"\n            >\n              {t(\"monitoring.comingSoon.title\")}\n            </motion.h1>\n\n            {/* Description */}\n            <motion.p\n              initial={{ opacity: 0, y: 20 }}\n              animate={{ opacity: 1, y: 0 }}\n              transition={{ delay: 0.4 }}\n              className=\"text-lg text-slate-600 dark:text-slate-400\"\n            >\n              {t(\"monitoring.comingSoon.description\")}\n            </motion.p>\n\n            {/* Feature list */}\n            <motion.ul\n              initial={{ opacity: 0, y: 20 }}\n              animate={{ opacity: 1, y: 0 }}\n              transition={{ delay: 0.5 }}\n              className=\"text-left space-y-2 w-full\"\n            >\n              <li className=\"flex items-start space-x-2\">\n                <span className=\"text-emerald-500 mt-1\">✓</span>\n                <span className=\"text-slate-600 dark:text-slate-400\">\n                  {t(\"monitoring.comingSoon.feature1\")}\n                </span>\n              </li>\n              <li className=\"flex items-start space-x-2\">\n                <span className=\"text-emerald-500 mt-1\">✓</span>\n                <span className=\"text-slate-600 dark:text-slate-400\">\n                  {t(\"monitoring.comingSoon.feature2\")}\n                </span>\n              </li>\n              <li className=\"flex items-start space-x-2\">\n                <span className=\"text-emerald-500 mt-1\">✓</span>\n                <span className=\"text-slate-600 dark:text-slate-400\">\n                  {t(\"monitoring.comingSoon.feature3\")}\n                </span>\n              </li>\n            </motion.ul>\n\n            {/* Coming soon badge */}\n            <motion.div\n              initial={{ opacity: 0, scale: 0.8 }}\n              animate={{ opacity: 1, scale: 1 }}\n              transition={{ delay: 0.6 }}\n              className=\"px-4 py-2 bg-gradient-to-r from-emerald-500 to-sky-600 text-white rounded-full text-sm font-medium shadow-md\"\n            >\n              {t(\"monitoring.comingSoon.badge\")}\n            </motion.div>\n          </div>\n        </motion.div>\n      </div>\n    </>\n  );\n}\n"
  },
  {
    "path": "frontend/app/[locale]/page.tsx",
    "content": "\"use client\";\n\nimport { useRouter } from \"next/navigation\";\nimport { useTranslation } from \"react-i18next\";\nimport {\n  Bot,\n  Globe,\n  Zap,\n  MessagesSquare,\n  Unplug,\n  TextQuote,\n  AlertTriangle,\n} from \"lucide-react\";\nimport { Button, Row, Col } from \"antd\";\nimport { Card, CardContent } from \"@/components/ui/card\";\nimport { motion } from \"framer-motion\";\nimport { useDeployment } from \"@/components/providers/deploymentProvider\";\nimport { useAuthenticationContext } from \"@/components/providers/AuthenticationProvider\";\nimport { useAuthorizationContext } from \"@/components/providers/AuthorizationProvider\";\n\n/**\n * Homepage main content component\n */\nexport default function Homepage() {\n  const { t } = useTranslation(\"common\");\n  const { isSpeedMode } = useDeployment();\n  const { isAuthenticated, openAuthPromptModal } = useAuthenticationContext();\n  const { canAccessRoute, openAuthzPromptModal } = useAuthorizationContext();\n  const router = useRouter();\n\n  /**\n * Navigate to a route with permission pre-check\n * Returns true if navigation is allowed, false if permission is denied\n */\n  const navigateWithPermissionCheck = (route: string): boolean => {\n    // Check authentication first\n    if (!isAuthenticated && !isSpeedMode) {\n      openAuthPromptModal();\n      return false;\n    }\n\n    // Check authorization - if user is authenticated but doesn't have route access\n    if (isAuthenticated && !canAccessRoute(route)) {\n      openAuthzPromptModal();\n      return false;\n    }\n\n    // User has permission, navigate\n    router.push(route);\n    return true;\n  };\n\n  const navigateToChat = () => navigateWithPermissionCheck(\"/chat\");\n  const navigateToSetup = () => navigateWithPermissionCheck(\"/setup\");\n  const navigateToSpace = () => navigateWithPermissionCheck(\"/space\");\n\n  return (\n    <div className=\"w-full min-h-full flex flex-col items-center justify-center pt-6 pb-8\">\n      {/* Hero area */}\n      <section className=\"relative w-full p-4 flex flex-col items-center justify-center text-center flex-shrink-0\">\n        <div className=\"absolute inset-0 bg-grid-slate-200 dark:bg-grid-slate-800 [mask-image:radial-gradient(ellipse_at_center,white_20%,transparent_75%)] -z-10\"></div>\n        <motion.h2\n          initial={{ opacity: 0, y: -20 }}\n          animate={{ opacity: 1, y: 0 }}\n          transition={{ duration: 0.8, delay: 0.2 }}\n          className=\"text-4xl md:text-5xl lg:text-6xl font-bold text-slate-900 dark:text-white mb-4 tracking-tight\"\n        >\n          {t(\"page.title\")}\n          <span className=\"text-blue-600 dark:text-blue-500\">\n            {\" \"}\n            {t(\"page.subtitle\")}\n          </span>\n        </motion.h2>\n        <motion.p\n          initial={{ opacity: 0, y: -20 }}\n          animate={{ opacity: 1, y: 0 }}\n          transition={{ duration: 0.8, delay: 0.3 }}\n          className=\"max-w-2xl text-slate-600 dark:text-slate-300 text-lg md:text-xl mb-8\"\n        >\n          {t(\"page.description\")}\n        </motion.p>\n\n        {/* Three parallel buttons - responsive: row on wide, column on narrow */}\n        <motion.div\n          initial={{ opacity: 0, y: 20 }}\n          animate={{ opacity: 1, y: 0 }}\n          transition={{ duration: 0.8, delay: 0.4 }}\n        >\n          <Row gutter={[16, 16]} justify=\"center\">\n            <Col xs={24} sm={24} md={8}>\n              <Button\n                onClick={navigateToChat}\n                className=\"w-full bg-blue-600 hover:bg-blue-700 text-white px-8 py-6 rounded-full text-lg font-medium shadow-lg hover:shadow-xl transition-all duration-300 group\"\n              >\n                <Bot className=\"mr-2 h-6 w-6 shrink-0 group-hover:animate-pulse\" />\n                {t(\"page.startChat\")}\n              </Button>\n            </Col>\n            <Col xs={24} sm={24} md={8}>\n              <Button\n                onClick={navigateToSetup}\n                className=\"w-full bg-blue-600 hover:bg-blue-700 text-white px-8 py-6 rounded-full text-lg font-medium shadow-lg hover:shadow-xl transition-all duration-300 group\"\n              >\n                <Zap className=\"mr-2 h-6 w-6 shrink-0 group-hover:animate-pulse\" />\n                {t(\"page.quickConfig\")}\n              </Button>\n            </Col>\n            <Col xs={24} sm={24} md={8}>\n              <Button\n                onClick={navigateToSpace}\n                className=\"w-full bg-blue-600 hover:bg-blue-700 text-white px-8 py-6 rounded-full text-lg font-medium shadow-lg hover:shadow-xl transition-all duration-300 group\"\n              >\n                <Globe className=\"mr-2 h-6 w-6 shrink-0 group-hover:animate-pulse\" />\n                {t(\"page.agentSpace\")}\n              </Button>\n            </Col>\n          </Row>\n        </motion.div>\n\n        {/* Data protection notice - only shown in full version */}\n        {!isSpeedMode && (\n          <motion.div\n            initial={{ opacity: 0, y: 20 }}\n            animate={{ opacity: 1, y: 0 }}\n            transition={{ duration: 0.8, delay: 0.5 }}\n            className=\"mt-12 flex items-center justify-center gap-2 text-sm text-slate-500 dark:text-slate-400\"\n          >\n            <AlertTriangle className=\"h-4 w-4\" />\n            <span>{t(\"page.dataProtection\")}</span>\n          </motion.div>\n        )}\n      </section>\n\n      {/* Feature cards */}\n      <motion.section\n        initial={{ opacity: 0, y: 30 }}\n        animate={{ opacity: 1, y: 0 }}\n        transition={{ duration: 0.8, delay: 0.6 }}\n        className=\"w-full mt-1 max-w-7xl py-4 px-8\"\n      >\n        <motion.h3\n          initial={{ opacity: 0, y: -20 }}\n          animate={{ opacity: 1, y: 0 }}\n          transition={{ duration: 0.8, delay: 0.7 }}\n          className=\"text-2xl font-bold text-slate-900 dark:text-white mb-6 text-center\"\n        >\n          {t(\"page.coreFeatures\")}\n        </motion.h3>\n        <motion.div\n          initial={{ opacity: 0 }}\n          animate={{ opacity: 1 }}\n          transition={{ duration: 0.8, delay: 0.8 }}\n          className=\"grid grid-cols-1 md:grid-cols-2 gap-4 \"\n        >\n\n          {(\n            t(\"page.features\", { returnObjects: true }) as Array<{\n              title: string;\n              description: string;\n            }>\n          ).map((feature, index: number) => {\n            const icons = [\n              <Bot key={0} className=\"h-8 w-8 text-blue-500\" />,\n              <TextQuote key={1} className=\"h-8 w-8 text-green-500\" />,\n              <Zap key={2} className=\"h-8 w-8 text-blue-500\" />,\n              <Globe key={3} className=\"h-8 w-8 text-emerald-500\" />,\n              <Unplug key={4} className=\"h-8 w-8 text-amber-500\" />,\n              <MessagesSquare key={5} className=\"h-8 w-8 text-purple-500\" />,\n            ];\n\n            return (\n              <motion.div\n                key={index}\n                initial={{ opacity: 0, y: 20 }}\n                animate={{ opacity: 1, y: 0 }}\n                transition={{\n                  duration: 0.6,\n                  delay: 0.9 + index * 0.1,\n                }}\n              >\n                <FeatureCard\n                  icon={\n                    icons[index] || <Bot className=\"h-8 w-8 text-blue-500\" />\n                  }\n                  title={feature.title}\n                  description={feature.description}\n                />\n              </motion.div>\n            );\n          })}\n\n\n        </motion.div>\n      </motion.section>\n    </div>\n  );\n}\n\n// Feature card component\ninterface FeatureCardProps {\n  icon: React.ReactNode;\n  title: string;\n  description: string;\n}\n\nfunction FeatureCard({ icon, title, description }: FeatureCardProps) {\n  return (\n    <Card className=\"overflow-hidden border border-slate-200 dark:border-slate-700 transition-all duration-300 hover:shadow-md hover:border-blue-200 dark:hover:border-blue-900/30 group h-32\">\n      <CardContent className=\"p-5 flex flex-row items-center gap-4 h-full\">\n        <div className=\"flex-shrink-0 p-3 bg-slate-100 dark:bg-slate-800 rounded-full group-hover:bg-blue-100 dark:group-hover:bg-blue-900/30 transition-colors\">\n          {icon}\n        </div>\n        <div className=\"flex-1 min-w-0 flex flex-col justify-center\">\n          <h4 className=\"text-lg font-semibold text-slate-900 dark:text-white mb-2 truncate\">\n            {title}\n          </h4>\n          <p className=\"text-sm text-slate-600 dark:text-slate-300 line-clamp-3\">\n            {description}\n          </p>\n        </div>\n      </CardContent>\n    </Card>\n  );\n}"
  },
  {
    "path": "frontend/app/[locale]/setup/page.tsx",
    "content": "\"use client\";\n\nimport { useState } from \"react\";\nimport { Steps, Button } from \"antd\";\nimport { ChevronLeft, ChevronRight, Check } from \"lucide-react\";\nimport { useSetupFlow } from \"@/hooks/useSetupFlow\";\nimport { useAuthorizationContext } from \"@/components/providers/AuthorizationProvider\";\nimport { useDeployment } from \"@/components/providers/deploymentProvider\";\nimport ModelsContent from \"../models/page\";\nimport KnowledgesContent from \"../knowledges/page\";\nimport AgentSetupOrchestrator from \"../agents/page\";\n\ntype SetupStep = \"models\" | \"knowledges\" | \"agents\";\n\nexport default function SetupPage() {\n  const { t, router } = useSetupFlow({});\n\n  // Get auth state directly from providers\n  const { isSpeedMode } = useDeployment();\n  const { user } = useAuthorizationContext();\n\n  const [currentStepIndex, setCurrentStepIndex] = useState<number>(0);\n  const [isSaving, setIsSaving] = useState(false);\n\n  const steps = [\n    {\n      key: \"models\" as SetupStep,\n      title: t(\"setup.model.description\"),\n    },\n    {\n      key: \"knowledges\" as SetupStep,\n      title: t(\"setup.knowledge.description\"),\n    },\n    {\n      key: \"agents\" as SetupStep,\n      title: t(\"setup.agent.description\"),\n    },\n  ];\n\n  const [completed, setCompleted] = useState<boolean[]>(\n    new Array(steps.length).fill(false)\n  );\n\n  const currentStep = steps[currentStepIndex];\n  const isFirstStep = currentStepIndex === 0;\n  const isLastStep = currentStepIndex === steps.length - 1;\n\n  const handleNext = () => {\n    // mark current as completed then advance (unless last)\n    setCompleted((prev) => {\n      const next = [...prev];\n      next[currentStepIndex] = true;\n      return next;\n    });\n    if (!isLastStep) {\n      setCurrentStepIndex((i) => i + 1);\n    } else {\n      // last step -> complete\n      router.push(\"/chat\");\n    }\n  };\n\n  const handleBack = () => {\n    if (!isFirstStep) {\n      // Mark current step as incomplete when going back\n      setCompleted((prev) => {\n        const next = [...prev];\n        next[currentStepIndex - 1] = false;\n        return next;\n      });\n      setCurrentStepIndex((i) => i - 1);\n    }\n  };\n\n  const handleComplete = () => {\n    router.push(\"/chat\");\n  };\n\n  const renderStepContent = () => {\n    switch (currentStep.key) {\n      case \"models\":\n        return <ModelsContent />;\n      case \"knowledges\":\n        return <KnowledgesContent />;\n      case \"agents\":\n        return <AgentSetupOrchestrator />;\n      default:\n        return null;\n    }\n  };\n\n\n  return (\n    <div className=\"w-full h-full flex flex-col bg-slate-50 dark:bg-slate-900 font-sans overflow-hidden\">\n      {/* Top fixed Steps bar */}\n      <div className=\"bg-white dark:bg-slate-900 border-b z-50\">\n        <div className=\"max-w-[1800px] mx-auto px-8 py-6\">\n          <Steps\n            current={currentStepIndex}\n            onChange={(idx) => {\n              // allow jumping only to already completed steps or current\n              if (idx <= currentStepIndex || completed[idx]) {\n                setCurrentStepIndex(idx);\n              }\n            }}\n            size=\"default\"\n            items={steps.map((s, i) => ({\n              title: s.title,\n              status: completed[i]\n                ? \"finish\"\n                : i === currentStepIndex\n                  ? \"process\"\n                  : \"wait\",\n              icon: completed[i] ? <Check className=\"w-4 h-4\" /> : undefined,\n            }))}\n          />\n        </div>\n      </div>\n\n      {/* Main container*/}\n      <div className=\"flex:1 min-h-0 h-full w-full\">\n        {/* Main Content area */}\n        {renderStepContent()}\n      </div>\n\n      {/* Bottom fixed action bar */}\n      <div className=\"bg-white dark:bg-slate-900 border-t z-50\">\n        <div className=\"mx-auto px-8 py-4 flex justify-end gap-4\">\n          <Button\n            onClick={handleBack}\n            disabled={isFirstStep}\n            type=\"default\"\n            className=\"px-4 py-2 rounded-lg h-10 flex items-center gap-2 border border-gray-200 bg-white text-gray-700\"\n            icon={<ChevronLeft className=\"w-4 h-4\" />}\n          >\n            {t(\"setup.navigation.button.previous\")}\n          </Button>\n          {!isLastStep ? (\n            <Button\n              type=\"primary\"\n              onClick={handleNext}\n              className=\"px-4 py-2 rounded-lg h-10 flex items-center gap-2 shadow-md\"\n              icon={<ChevronRight className=\"w-4 h-4 text-white\" />}\n            >\n              {t(\"setup.navigation.button.next\")}\n            </Button>\n          ) : (\n            <Button\n              type=\"primary\"\n              onClick={handleComplete}\n              loading={isSaving}\n              className=\"px-4 py-2 rounded-lg h-10 flex items-center gap-2 shadow-md\"\n              icon={<Check className=\"w-4 h-4 text-white\" />}\n            >\n              {t(\"setup.navigation.button.complete\")}\n            </Button>\n          )}\n        </div>\n      </div>\n    </div>\n  );\n}\n"
  },
  {
    "path": "frontend/app/[locale]/space/components/AgentCard.tsx",
    "content": "\"use client\";\n\nimport React, { useState, useMemo, useEffect } from \"react\";\nimport { useTranslation } from \"react-i18next\";\nimport { useRouter } from \"next/navigation\";\nimport { App } from \"antd\";\nimport {\n  Trash2,\n  Download,\n  Network,\n  MessageSquare,\n  CheckCircle,\n  XCircle,\n  Edit,\n  Sparkles,\n} from \"lucide-react\";\nimport { useQueryClient } from \"@tanstack/react-query\";\n\nimport { Avatar } from \"antd\";\nimport AgentCallRelationshipModal from \"@/components/ui/AgentCallRelationshipModal\";\nimport AgentDetailModal from \"./AgentDetailModal\";\nimport {\n  deleteAgent,\n  exportAgent,\n  searchAgentInfo,\n  clearAgentNewMark,\n} from \"@/services/agentConfigService\";\nimport { generateAvatarFromName } from \"@/lib/avatar\";\nimport { useAuthorizationContext } from \"@/components/providers/AuthorizationProvider\";\nimport { useDeployment } from \"@/components/providers/deploymentProvider\";\nimport { useConfirmModal } from \"@/hooks/useConfirmModal\";\nimport { USER_ROLES } from \"@/const/auth\";\nimport { Agent } from \"@/types/agentConfig\";\nimport log from \"@/lib/logger\";\n\ninterface AgentCardProps {\n  agent: Agent;\n  onRefresh: () => void;\n}\n\nexport default function AgentCard({ agent, onRefresh }: AgentCardProps) {\n  const { t } = useTranslation(\"common\");\n  const { message } = App.useApp();\n  const { user } = useAuthorizationContext();\n  const { isSpeedMode } = useDeployment();\n  const { confirm } = useConfirmModal();\n  const router = useRouter();\n\n  const [isDeleting, setIsDeleting] = useState(false);\n  const [isExporting, setIsExporting] = useState(false);\n  const [showRelationship, setShowRelationship] = useState(false);\n  const [showDetail, setShowDetail] = useState(false);\n  const [agentDetails, setAgentDetails] = useState<any>(null);\n  const [isLoadingDetails, setIsLoadingDetails] = useState(false);\n\n\n  // Generate avatar URL from agent name\n  const avatarUrl = generateAvatarFromName(agent.display_name || agent.name);\n\n  // Check if agent is new (marked as new in database)\n  const [isNewAgent, setIsNewAgent] = useState(() => agent.is_new || false);\n\n  // Keep local isNewAgent state in sync when prop changes (e.g., after refresh)\n  useEffect(() => {\n    setIsNewAgent(agent.is_new || false);\n  }, [agent.is_new]);\n\n  // Handle delete agent\n  const handleDelete = () => {\n    confirm({\n      title: t(\"space.deleteConfirm.title\", \"Delete Agent\"),\n      content: t(\n        \"space.deleteConfirm.content\",\n        `Are you sure you want to delete agent \"${agent.display_name}\"? This action cannot be undone.`\n      ),\n      onOk: async () => {\n        setIsDeleting(true);\n        try {\n          const result = await deleteAgent(parseInt(agent.id));\n          if (result.success) {\n            message.success(\n              t(\"space.deleteSuccess\", \"Agent deleted successfully\")\n            );\n            onRefresh();\n          } else {\n            message.error(result.message || \"Failed to delete agent\");\n          }\n        } catch (error) {\n          log.error(\"Failed to delete agent:\", error);\n          message.error(\"Failed to delete agent\");\n        } finally {\n          setIsDeleting(false);\n        }\n      },\n    });\n  };\n\n  // Handle export agent\n  const handleExport = async () => {\n    setIsExporting(true);\n    try {\n      const result = await exportAgent(parseInt(agent.id));\n      if (result.success && result.data) {\n        // Create a download link\n        const dataStr = JSON.stringify(result.data, null, 2);\n        const dataBlob = new Blob([dataStr], { type: \"application/json\" });\n        const url = URL.createObjectURL(dataBlob);\n        const link = document.createElement(\"a\");\n        link.href = url;\n        link.download = `agent_${agent.name}_${Date.now()}.json`;\n        document.body.appendChild(link);\n        link.click();\n        document.body.removeChild(link);\n        URL.revokeObjectURL(url);\n\n        message.success(\n          t(\"space.exportSuccess\", \"Agent exported successfully\")\n        );\n      } else {\n        message.error(result.message || \"Failed to export agent\");\n      }\n    } catch (error) {\n      log.error(\"Failed to export agent:\", error);\n      message.error(\"Failed to export agent\");\n    } finally {\n      setIsExporting(false);\n    }\n  };\n\n  // Handle view relationship\n  const handleViewRelationship = () => {\n    setShowRelationship(true);\n  };\n\n  const handleChat = () => {\n    if (agent.id) {\n      sessionStorage.setItem(\"selectedAgentId\", agent.id);\n      router.push(\"/chat\");\n    }\n  };\n\n  // Handle edit - navigate to agents view\n  const handleEdit = () => {\n    router.push(\"/agents\");\n  };\n\n  const queryClient = useQueryClient();\n\n  // Handle view detail\n  const handleViewDetail = async () => {\n    // Mark agent as viewed (clear NEW marker in database)\n    if (isNewAgent) {\n      try {\n        const result = await clearAgentNewMark(agent.id);\n        if (result?.success) {\n          setIsNewAgent(false);\n          queryClient.invalidateQueries({ queryKey: [\"agents\"] });\n        } else {\n          log.warn(\"Failed to clear NEW mark for agent\", agent.id, result);\n        }\n      } catch (error) {\n        log.error(\"Error clearing NEW mark:\", error);\n      }\n    }\n\n    setShowDetail(true);\n    setIsLoadingDetails(true);\n    try {\n      const result = await searchAgentInfo(parseInt(agent.id));\n      if (result.success) {\n        setAgentDetails(result.data);\n      } else {\n        message.error(result.message || \"Failed to load agent details\");\n      }\n    } catch (error) {\n      log.error(\"Failed to load agent details:\", error);\n      message.error(\"Failed to load agent details\");\n    } finally {\n      setIsLoadingDetails(false);\n    }\n  };\n\n  return (\n    <>\n      <div\n        className={`w-full h-full rounded-lg border transition-all duration-300 p-4 flex flex-col group cursor-pointer ${\n          isNewAgent\n            ? \"bg-white dark:bg-slate-800 border-slate-200 dark:border-slate-700 hover:shadow-lg hover:border-blue-300 dark:hover:border-blue-700\"\n            : \"bg-white dark:bg-slate-800 border-slate-200 dark:border-slate-700 hover:shadow-lg hover:border-blue-300 dark:hover:border-blue-700\"\n        }`}\n        onClick={handleViewDetail}\n      >\n        {/* Avatar and Status badge */}\n        <div className=\"flex items-start gap-3 mb-3\">\n          <Avatar src={avatarUrl} size={40} className=\"w-10 h-10\">\n            <span className=\"text-lg font-bold text-blue-600 dark:text-blue-400\">\n              {agent.display_name?.charAt(0)?.toUpperCase() || \"A\"}\n            </span>\n          </Avatar>\n\n          {/* Status badge and NEW marker */}\n          <div className=\"flex-1 flex justify-end items-center gap-2\">\n            {/* NEW marker */}\n            {isNewAgent && (\n              <div className=\"inline-flex items-center gap-1 px-2 py-0.5 bg-amber-50 dark:bg-amber-900/10 text-amber-700 dark:text-amber-300 rounded-full text-xs font-medium border border-amber-200\">\n                <Sparkles className=\"h-3 w-3 flex-shrink-0\" />\n                <span className=\"tracking-wide\">{t(\"space.new\", \"NEW\")}</span>\n              </div>\n            )}\n\n            {/* Status badge */}\n            {agent.is_available ? (\n              <div className=\"flex items-center gap-1 px-2 py-0.5 bg-green-100 dark:bg-green-900/30 text-green-700 dark:text-green-400 rounded-full text-xs\">\n                <CheckCircle className=\"h-3 w-3\" />\n                <span>{t(\"space.status.available\", \"Available\")}</span>\n              </div>\n            ) : (\n              <div className=\"flex items-center gap-1 px-2 py-0.5 bg-red-100 dark:bg-red-900/30 text-red-700 dark:text-red-400 rounded-full text-xs\">\n                <XCircle className=\"h-3 w-3\" />\n                <span>{t(\"space.status.unavailable\", \"Unavailable\")}</span>\n              </div>\n            )}\n          </div>\n        </div>\n\n        {/* Agent info - flexible height */}\n        <div className=\"flex-1 flex flex-col min-h-0 mb-3\">\n          <h3 className=\"text-base font-semibold text-slate-900 dark:text-white mb-2 line-clamp-2\">\n            {agent.display_name || agent.name}\n          </h3>\n          {agent.author ? (\n            <p className=\"text-xs text-slate-500 dark:text-slate-400 mb-2\">\n              {t(\"market.by\", {\n                defaultValue: \"By {{author}}\",\n                author: agent.author,\n              })}\n            </p>\n          ) : (\n            <div className=\"h-4 mb-2\" aria-hidden />\n          )}\n          <div className=\"flex-1 overflow-hidden\">\n            <p className=\"text-sm text-slate-600 dark:text-slate-300\">\n              {agent.description || t(\"space.noDescription\", \"No description\")}\n            </p>\n          </div>\n        </div>\n\n        {/* Action buttons */}\n        <div className=\"flex items-center justify-end gap-2 pt-2 border-t border-slate-200 dark:border-slate-700\">\n\n\n            <button\n              onClick={(e) => {\n                e.stopPropagation();\n                handleEdit();\n              }}\n              className=\"p-2 rounded-md hover:bg-blue-50 dark:hover:bg-blue-900/20 text-slate-400 hover:text-blue-600 dark:hover:text-blue-400 transition-colors\"\n              title={t(\"space.actions.edit\", \"Edit\")}\n            >\n              <Edit className=\"h-4 w-4\" />\n            </button>\n\n\n            <button\n              onClick={(e) => {\n                e.stopPropagation();\n                handleDelete();\n              }}\n              disabled={isDeleting || agent.permission === \"READ_ONLY\"}\n              className=\"p-2 rounded-md hover:bg-red-50 dark:hover:bg-red-900/20 text-slate-400 hover:text-red-600 dark:hover:text-red-400 transition-colors disabled:opacity-50\"\n              title={\n                agent.permission === \"READ_ONLY\"\n                  ? t(\"agent.noEditPermission\")\n                  : t(\"space.actions.delete\", \"Delete\")\n              }\n            >\n              <Trash2 className=\"h-4 w-4\" />\n            </button>\n\n          <button\n            onClick={(e) => {\n              e.stopPropagation();\n              handleExport();\n            }}\n            disabled={isExporting}\n            className=\"p-2 rounded-md hover:bg-blue-50 dark:hover:bg-blue-900/20 text-slate-400 hover:text-blue-600 dark:hover:text-blue-400 transition-colors disabled:opacity-50\"\n            title={t(\"space.actions.export\", \"Export\")}\n          >\n            <Download className=\"h-4 w-4\" />\n          </button>\n\n          <button\n            onClick={(e) => {\n              e.stopPropagation();\n              handleViewRelationship();\n            }}\n            className=\"p-2 rounded-md hover:bg-purple-50 dark:hover:bg-purple-900/20 text-slate-400 hover:text-purple-600 dark:hover:text-purple-400 transition-colors\"\n            title={t(\"space.actions.relationship\", \"View Relationships\")}\n          >\n            <Network className=\"h-4 w-4\" />\n          </button>\n\n          <button\n            onClick={(e) => {\n              e.stopPropagation();\n              handleChat();\n            }}\n            disabled={!agent.is_available}\n            className={`p-2 rounded-md transition-colors ${\n              agent.is_available\n                ? \"hover:bg-green-50 dark:hover:bg-green-900/20 text-slate-400 hover:text-green-600 dark:hover:text-green-400\"\n                : \"text-slate-300 dark:text-slate-600 cursor-not-allowed\"\n            }`}\n            title={\n              agent.is_available\n                ? t(\"space.actions.chat\", \"Chat\")\n                : t(\"space.status.unavailable\", \"Unavailable\")\n            }\n          >\n            <MessageSquare className=\"h-4 w-4\" />\n          </button>\n        </div>\n      </div>\n\n      {/* Relationship Modal */}\n      <AgentCallRelationshipModal\n        visible={showRelationship}\n        onClose={() => setShowRelationship(false)}\n        agentId={parseInt(agent.id)}\n        agentName={agent.display_name || agent.name}\n      />\n\n      {/* Detail Modal */}\n      <AgentDetailModal\n        visible={showDetail}\n        onClose={() => setShowDetail(false)}\n        agentDetails={agentDetails}\n        loading={isLoadingDetails}\n      />\n    </>\n  );\n}\n"
  },
  {
    "path": "frontend/app/[locale]/space/components/AgentDetailModal.tsx",
    "content": "\"use client\";\n\nimport React from \"react\";\nimport { Modal, Tabs, Tag, Descriptions, Empty, Avatar } from \"antd\";\nimport { useTranslation } from \"react-i18next\";\nimport {\n  CheckCircle,\n  XCircle,\n  Bot,\n  Settings,\n  FileText,\n  Wrench,\n  Users,\n  Sparkles,\n} from \"lucide-react\";\n// Using AntD Avatar directly in this component\nimport { generateAvatarFromName } from \"@/lib/avatar\";\nimport { getToolSourceLabel, getCategoryLabel } from \"@/lib/agentLabelMapper\";\n\ninterface AgentDetailModalProps {\n  visible: boolean;\n  onClose: () => void;\n  agentDetails: any;\n  loading: boolean;\n}\n\nexport default function AgentDetailModal({\n  visible,\n  onClose,\n  agentDetails,\n  loading,\n}: AgentDetailModalProps) {\n  const { t } = useTranslation(\"common\");\n\n  if (!agentDetails && !loading) {\n    return null;\n  }\n\n  // Generate avatar URL from agent name (same as AgentCard)\n  const avatarUrl = agentDetails \n    ? generateAvatarFromName(agentDetails.display_name || agentDetails.name)\n    : \"\";\n\n  const items = [\n    {\n      key: \"basic\",\n      label: (\n        <span className=\"flex items-center gap-2\">\n          <Bot className=\"h-4 w-4\" />\n          {t(\"space.detail.tabs.basic\", \"Basic Info\")}\n        </span>\n      ),\n      children: (\n        <div className=\"space-y-4\">\n          <Descriptions column={1} bordered labelStyle={{ fontWeight: 600, whiteSpace: 'nowrap' }}>\n            <Descriptions.Item label={t(\"space.detail.id\", \"Agent ID\")}>\n              {agentDetails?.id || \"-\"}\n            </Descriptions.Item>\n            <Descriptions.Item label={t(\"space.detail.name\", \"Name\")}>\n              {agentDetails?.name || \"-\"}\n            </Descriptions.Item>\n            <Descriptions.Item label={t(\"space.detail.displayName\", \"Display Name\")}>\n              {agentDetails?.display_name || \"-\"}\n            </Descriptions.Item>\n            <Descriptions.Item label={t(\"space.detail.description\", \"Description\")}>\n              {agentDetails?.description || \"-\"}\n            </Descriptions.Item>\n            <Descriptions.Item label={t(\"space.detail.status\", \"Status\")}>\n              {agentDetails?.is_available ? (\n                <Tag icon={<CheckCircle className=\"h-3 w-3\" />} color=\"success\" className=\"inline-flex items-center gap-1\">\n                  <span className=\"whitespace-nowrap\">{t(\"space.status.available\", \"Available\")}</span>\n                </Tag>\n              ) : (\n                <Tag icon={<XCircle className=\"h-3 w-3\" />} color=\"error\" className=\"inline-flex items-center gap-1\">\n                  <span className=\"whitespace-nowrap\">{t(\"space.status.unavailable\", \"Unavailable\")}</span>\n                </Tag>\n              )}\n            </Descriptions.Item>\n          </Descriptions>\n        </div>\n      ),\n    },\n    {\n      key: \"model\",\n      label: (\n        <span className=\"flex items-center gap-2\">\n          <Settings className=\"h-4 w-4\" />\n          {t(\"space.detail.tabs.model\", \"Model Config\")}\n        </span>\n      ),\n      children: (\n        <div className=\"space-y-4\">\n          <Descriptions column={1} bordered labelStyle={{ fontWeight: 600, whiteSpace: 'nowrap' }}>\n          <Descriptions.Item label={t(\"space.detail.businessLogicModel\", \"Business Logic Model\")}>\n              {agentDetails?.business_logic_model_name || \"-\"}\n            </Descriptions.Item>\n            <Descriptions.Item label={t(\"space.detail.model\", \"Model Name\")}>\n              {agentDetails?.model || \"-\"}\n            </Descriptions.Item>\n            <Descriptions.Item label={t(\"space.detail.maxStep\", \"Max Steps\")}>\n              {agentDetails?.max_step || 0}\n            </Descriptions.Item>\n            <Descriptions.Item label={t(\"space.detail.provideRunSummary\", \"Provide Run Summary\")}>\n              {agentDetails?.provide_run_summary ? (\n                <Tag color=\"green\">{t(\"common.yes\", \"Yes\")}</Tag>\n              ) : (\n                <Tag color=\"red\">{t(\"common.no\", \"No\")}</Tag>\n              )}\n            </Descriptions.Item>\n          </Descriptions>\n        </div>\n      ),\n    },\n    {\n      key: \"prompts\",\n      label: (\n        <span className=\"flex items-center gap-2\">\n          <FileText className=\"h-4 w-4\" />\n          {t(\"space.detail.tabs.prompts\", \"Prompts\")}\n        </span>\n      ),\n      children: (\n        <div className=\"space-y-4\">\n          <div>\n            <h4 className=\"font-semibold mb-2 flex items-center gap-2\">\n              <Sparkles className=\"h-4 w-4\" />\n              {t(\"space.detail.dutyPrompt\", \"Duty Prompt\")}\n            </h4>\n            <div className=\"p-3 bg-slate-50 dark:bg-slate-800 rounded-lg border border-slate-200 dark:border-slate-700\">\n              <pre className=\"whitespace-pre-wrap text-sm\">\n                {agentDetails?.duty_prompt || t(\"common.none\", \"None\")}\n              </pre>\n            </div>\n          </div>\n          <div>\n            <h4 className=\"font-semibold mb-2 flex items-center gap-2\">\n              <FileText className=\"h-4 w-4\" />\n              {t(\"space.detail.constraintPrompt\", \"Constraint Prompt\")}\n            </h4>\n            <div className=\"p-3 bg-slate-50 dark:bg-slate-800 rounded-lg border border-slate-200 dark:border-slate-700\">\n              <pre className=\"whitespace-pre-wrap text-sm\">\n                {agentDetails?.constraint_prompt || t(\"common.none\", \"None\")}\n              </pre>\n            </div>\n          </div>\n          <div>\n            <h4 className=\"font-semibold mb-2 flex items-center gap-2\">\n              <FileText className=\"h-4 w-4\" />\n              {t(\"space.detail.fewShotsPrompt\", \"Few-Shots Prompt\")}\n            </h4>\n            <div className=\"p-3 bg-slate-50 dark:bg-slate-800 rounded-lg border border-slate-200 dark:border-slate-700\">\n              <pre className=\"whitespace-pre-wrap text-sm\">\n                {agentDetails?.few_shots_prompt || t(\"common.none\", \"None\")}\n              </pre>\n            </div>\n          </div>\n          <div>\n            <h4 className=\"font-semibold mb-2 flex items-center gap-2\">\n              <FileText className=\"h-4 w-4\" />\n              {t(\"space.detail.businessDescription\", \"Business Description\")}\n            </h4>\n            <div className=\"p-3 bg-slate-50 dark:bg-slate-800 rounded-lg border border-slate-200 dark:border-slate-700\">\n              <pre className=\"whitespace-pre-wrap text-sm\">\n                {agentDetails?.business_description || t(\"common.none\", \"None\")}\n              </pre>\n            </div>\n          </div>\n        </div>\n      ),\n    },\n    {\n      key: \"tools\",\n      label: (\n        <span className=\"flex items-center gap-2\">\n          <Wrench className=\"h-4 w-4\" />\n          {t(\"space.detail.tabs.tools\", \"Tools\")} ({agentDetails?.tools?.length || 0})\n        </span>\n      ),\n      children: (\n        <div className=\"space-y-3\">\n          {agentDetails?.tools && agentDetails.tools.length > 0 ? (\n            agentDetails.tools.map((tool: any) => (\n              <div\n                key={tool.id}\n                className=\"p-4 bg-slate-50 dark:bg-slate-800 rounded-lg border border-slate-200 dark:border-slate-700\"\n              >\n                <div className=\"flex items-start justify-between mb-2\">\n                  <div className=\"flex-1\">\n                    <h4 className=\"font-semibold text-base\">{tool.name}</h4>\n                    <p className=\"text-sm text-slate-600 dark:text-slate-300 mt-1\">\n                      {tool.description || t(\"space.noDescription\", \"No description\")}\n                    </p>\n                  </div>\n                  {tool.is_available ? (\n                    <Tag icon={<CheckCircle className=\"h-3 w-3\" />} color=\"success\" className=\"inline-flex items-center gap-1 ml-2\">\n                      <span className=\"whitespace-nowrap\">{t(\"space.status.available\", \"Available\")}</span>\n                    </Tag>\n                  ) : (\n                    <Tag icon={<XCircle className=\"h-3 w-3\" />} color=\"error\" className=\"inline-flex items-center gap-1 ml-2\">\n                      <span className=\"whitespace-nowrap\">{t(\"space.status.unavailable\", \"Unavailable\")}</span>\n                    </Tag>\n                  )}\n                </div>\n                <div className=\"flex gap-2 flex-wrap\">\n                  {tool.source && (\n                    <Tag color=\"blue\">\n                      {t(\"common.source\", \"Source\")}: {getToolSourceLabel(tool.source, t)}\n                    </Tag>\n                  )}\n                  {tool.category && (\n                    <Tag color=\"purple\">\n                      {t(\"common.category\", \"Category\")}: {getCategoryLabel(tool.category, t)}\n                    </Tag>\n                  )}\n                  {tool.usage && (\n                    <Tag color=\"green\">\n                      {t(\"common.usage\", \"Usage\")}: {tool.usage}\n                    </Tag>\n                  )}\n                </div>\n                {tool.initParams && tool.initParams.length > 0 && (\n                  <div className=\"mt-3 pt-3 border-t border-slate-200 dark:border-slate-600\">\n                    <div className=\"text-xs font-semibold text-slate-600 dark:text-slate-400 mb-2\">\n                      {t(\"space.detail.parameters\", \"Parameters\")}:\n                    </div>\n                    <div className=\"space-y-2\">\n                      {tool.initParams.map((param: any, idx: number) => (\n                        <div key={idx} className=\"text-xs\">\n                          <span className=\"font-medium\">{param.name}</span>\n                          {param.required && (\n                            <Tag color=\"red\" className=\"ml-1 text-xs\">\n                              {t(\"common.required\", \"Required\")}\n                            </Tag>\n                          )}\n                          <span className=\"text-slate-500 dark:text-slate-400 ml-2\">\n                            ({param.type})\n                          </span>\n                          {param.description && (\n                            <div className=\"text-slate-600 dark:text-slate-300 mt-1\">\n                              {param.description}\n                            </div>\n                          )}\n                        </div>\n                      ))}\n                    </div>\n                  </div>\n                )}\n              </div>\n            ))\n          ) : (\n            <Empty\n              description={t(\"space.detail.noTools\", \"No tools configured\")}\n              image={Empty.PRESENTED_IMAGE_SIMPLE}\n            />\n          )}\n        </div>\n      ),\n    },\n    {\n      key: \"subAgents\",\n      label: (\n        <span className=\"flex items-center gap-2\">\n          <Users className=\"h-4 w-4\" />\n          {t(\"space.detail.tabs.subAgents\", \"Sub Agents\")} (\n          {agentDetails?.sub_agent_id_list?.length || 0})\n        </span>\n      ),\n      children: (\n        <div className=\"space-y-3\">\n          {agentDetails?.sub_agent_id_list && agentDetails.sub_agent_id_list.length > 0 ? (\n            <div className=\"grid grid-cols-1 md:grid-cols-2 gap-3\">\n              {agentDetails.sub_agent_id_list.map((subAgentId: string) => (\n                <div\n                  key={subAgentId}\n                  className=\"p-3 bg-slate-50 dark:bg-slate-800 rounded-lg border border-slate-200 dark:border-slate-700\"\n                >\n                  <div className=\"flex items-center gap-2\">\n                    <Bot className=\"h-4 w-4 text-blue-500\" />\n                    <span className=\"font-medium\">{t(\"space.detail.subAgentId\", \"Sub Agent ID\")}:</span>\n                    <span className=\"text-slate-600 dark:text-slate-300\">{subAgentId}</span>\n                  </div>\n                </div>\n              ))}\n            </div>\n          ) : (\n            <Empty\n              description={t(\"space.detail.noSubAgents\", \"No sub agents configured\")}\n              image={Empty.PRESENTED_IMAGE_SIMPLE}\n            />\n          )}\n        </div>\n      ),\n    },\n  ];\n\n  return (\n    <Modal\n      title={\n        <div className=\"flex items-center gap-3\">\n          <Avatar src={avatarUrl} size={40} className=\"w-10 h-10\">\n            <span className=\"bg-gradient-to-br from-blue-100 to-blue-200 dark:from-blue-900/30 dark:to-blue-800/30 text-lg font-bold text-blue-600 dark:text-blue-400\">\n              {agentDetails?.display_name?.charAt(0)?.toUpperCase() || agentDetails?.name?.charAt(0)?.toUpperCase() || \"A\"}\n            </span>\n          </Avatar>\n          <div>\n            <div className=\"text-lg font-semibold\">\n              {agentDetails?.display_name || agentDetails?.name || t(\"space.detail.title\", \"Agent Details\")}\n            </div>\n            <div className=\"text-xs text-slate-500 dark:text-slate-400 font-normal\">\n              {t(\"space.detail.subtitle\", \"Detailed configuration and information\")}\n            </div>\n          </div>\n        </div>\n      }\n      open={visible}\n      onCancel={onClose}\n      footer={null}\n      width={800}\n      style={{ top: 20, maxHeight: 'calc(100vh - 40px)' }}\n      styles={{ body: { maxHeight: 'calc(100vh - 180px)', overflowY: 'auto' } }}\n      className=\"agent-detail-modal\"\n    >\n      <div className=\"mt-4\">\n        {loading ? (\n          <div className=\"flex items-center justify-center py-12\">\n            <div className=\"animate-spin rounded-full h-8 w-8 border-b-2 border-blue-500\"></div>\n          </div>\n        ) : (\n          <Tabs items={items} defaultActiveKey=\"basic\" />\n        )}\n      </div>\n    </Modal>\n  );\n}\n\n"
  },
  {
    "path": "frontend/app/[locale]/space/page.tsx",
    "content": "\"use client\";\n\nimport React, { useState } from \"react\";\nimport { useRouter } from \"next/navigation\";\nimport { useTranslation } from \"react-i18next\";\nimport { motion } from \"framer-motion\";\nimport { App } from \"antd\";\nimport { Plus, RefreshCw, Upload } from \"lucide-react\";\n\nimport { useSetupFlow } from \"@/hooks/useSetupFlow\";\nimport { usePublishedAgentList } from \"@/hooks/agent/usePublishedAgentList\";\nimport { Agent } from \"@/types/agentConfig\";\nimport AgentCard from \"./components/AgentCard\";\nimport { ImportAgentData } from \"@/hooks/useAgentImport\";\nimport AgentImportWizard from \"@/components/agent/AgentImportWizard\";\nimport log from \"@/lib/logger\";\n\n/**\n * Agent Space page component\n * Displays agent cards grid and management controls\n */\nexport default function SpacePage() {\n  const router = useRouter();\n\n  const { t } = useTranslation(\"common\");\n  const { message } = App.useApp();\n  const { pageVariants, pageTransition } = useSetupFlow();\n  const [isImporting, setIsImporting] = useState(false);\n  const { agents, isLoading, invalidate } = usePublishedAgentList();\n\n  // Import wizard state\n  const [importWizardVisible, setImportWizardVisible] = useState(false);\n  const [importWizardData, setImportWizardData] =\n    useState<ImportAgentData | null>(null);\n\n\n  const handleCreateAgent = () => {\n    router.push(\"/agents?create=true\");\n  };\n\n  const onRefresh = () => {\n    invalidate();\n  };\n\n  const onImportAgent = () => {\n    const fileInput = document.createElement(\"input\");\n    fileInput.type = \"file\";\n    fileInput.accept = \".json\";\n    fileInput.onchange = async (event) => {\n      const file = (event.target as HTMLInputElement).files?.[0];\n      if (!file) return;\n\n      if (!file.name.endsWith(\".json\")) {\n        message.error(t(\"businessLogic.config.error.invalidFileType\"));\n        return;\n      }\n\n      try {\n        // Read and parse file\n        const fileContent = await file.text();\n        let agentData: ImportAgentData;\n\n        try {\n          agentData = JSON.parse(fileContent);\n        } catch (parseError) {\n          message.error(t(\"businessLogic.config.error.invalidFileType\"));\n          return;\n        }\n\n        // Validate structure\n        if (!agentData.agent_id || !agentData.agent_info) {\n          message.error(t(\"businessLogic.config.error.invalidFileType\"));\n          return;\n        }\n\n        // Open wizard with parsed data\n        setImportWizardData(agentData);\n        setImportWizardVisible(true);\n      } catch (error) {\n        log.error(\"Failed to read import file:\", error);\n        message.error(t(\"businessLogic.config.error.agentImportFailed\"));\n      }\n    };\n\n    fileInput.click();\n  };\n\n\n  return (\n    <div className=\"w-full h-full\">\n      <motion.div\n        initial=\"initial\"\n        animate=\"in\"\n        exit=\"out\"\n        variants={pageVariants}\n        transition={pageTransition}\n        className=\"w-full px-4 md:px-8 lg:px-16 py-8 h-full\"\n      >\n        <div className=\"max-w-7xl mx-auto\">\n          {/* Page header */}\n          <div className=\"flex items-center justify-between mb-6\">\n            <motion.div\n              initial={{ opacity: 0, y: -20 }}\n              animate={{ opacity: 1, y: 0 }}\n              transition={{ duration: 0.5 }}\n            >\n              <h1 className=\"text-3xl font-bold text-blue-600 dark:text-blue-500\">\n                {t(\"space.title\", \"Agent Space\")}\n              </h1>\n              <p className=\"text-slate-600 dark:text-slate-300 mt-2\">\n                {t(\n                  \"space.description\",\n                  \"Manage and interact with your intelligent agents\"\n                )}\n              </p>\n            </motion.div>\n\n            {/* Refresh button */}\n            <motion.div\n              initial={{ opacity: 0, y: -20 }}\n              animate={{ opacity: 1, y: 0 }}\n              transition={{ duration: 0.5, delay: 0.1 }}\n            >\n              <button\n                onClick={onRefresh}\n                disabled={isLoading}\n                className=\"p-2 rounded-md hover:bg-blue-50 dark:hover:bg-blue-900/20 text-slate-600 dark:text-slate-300 hover:text-blue-600 dark:hover:text-blue-400 transition-colors disabled:opacity-50\"\n                title={t(\"common.refresh\", \"Refresh\")}\n              >\n                <RefreshCw\n                  className={`h-5 w-5 ${isLoading ? \"animate-spin\" : \"\"}`}\n                />\n              </button>\n            </motion.div>\n          </div>\n\n          {/* Agent cards grid */}\n          <motion.div\n            initial={{ opacity: 0 }}\n            animate={{ opacity: 1 }}\n            transition={{ duration: 0.5, delay: 0.2 }}\n            className=\"grid grid-cols-1 sm:grid-cols-2 lg:grid-cols-3 xl:grid-cols-3 2xl:grid-cols-4 gap-4 pb-8\"\n          >\n            {/* Create/Import agent card - only for admin */}\n              <motion.div\n                initial={{ opacity: 0, scale: 0.9 }}\n                animate={{ opacity: 1, scale: 1 }}\n                transition={{ duration: 0.3, delay: 0.3 }}\n              >\n                <div className=\"w-full h-full flex flex-col gap-2\">\n                  {/* Create new agent - top half */}\n                  <button\n                    onClick={handleCreateAgent}\n                    className=\"flex-1 border-2 border-dashed border-blue-300 dark:border-blue-600 rounded-lg hover:border-blue-500 dark:hover:border-blue-400 bg-blue-50 dark:bg-blue-900/20 hover:bg-blue-100 dark:hover:bg-blue-900/40 transition-all duration-300 flex flex-col items-center justify-center gap-2 group\"\n                  >\n                    <div className=\"w-12 h-12 rounded-full bg-blue-100 dark:bg-blue-900/40 flex items-center justify-center group-hover:bg-blue-200 dark:group-hover:bg-blue-900/60 transition-colors\">\n                      <Plus className=\"h-6 w-6 text-blue-500 group-hover:text-blue-600 dark:text-blue-400 dark:group-hover:text-blue-300\" />\n                    </div>\n                    <span className=\"text-sm font-medium text-blue-600 dark:text-blue-400 group-hover:text-blue-700 dark:group-hover:text-blue-300\">\n                      {t(\"space.createAgent\", \"Create New Agent\")}\n                    </span>\n                  </button>\n\n                  {/* Import agent - bottom half */}\n                  <button\n                    onClick={onImportAgent}\n                    disabled={isImporting}\n                    className=\"flex-1 border-2 border-dashed border-green-300 dark:border-green-600 rounded-lg hover:border-green-500 dark:hover:border-green-400 bg-green-50 dark:bg-green-900/20 hover:bg-green-100 dark:hover:bg-green-900/40 transition-all duration-300 flex flex-col items-center justify-center gap-2 group disabled:opacity-50 disabled:cursor-not-allowed\"\n                  >\n                    <div className=\"w-12 h-12 rounded-full bg-green-100 dark:bg-green-900/40 flex items-center justify-center group-hover:bg-green-200 dark:group-hover:bg-green-900/60 transition-colors\">\n                      <Upload className=\"h-6 w-6 text-green-500 group-hover:text-green-600 dark:text-green-400 dark:group-hover:text-green-300\" />\n                    </div>\n                    <span className=\"text-sm font-medium text-green-600 dark:text-green-400 group-hover:text-green-700 dark:group-hover:text-green-300\">\n                      {isImporting\n                        ? t(\"subAgentPool.button.importing\", \"Importing...\")\n                        : t(\"subAgentPool.button.import\", \"Import Agent\")}\n                    </span>\n                  </button>\n                </div>\n              </motion.div>\n\n            {/* Agent cards */}\n            {agents.map((agent: Agent, index: number) => (\n              <motion.div\n                key={agent.id}\n                initial={{ opacity: 0, scale: 0.9 }}\n                animate={{ opacity: 1, scale: 1 }}\n                transition={{ duration: 0.3, delay: 0.3 + (index + 1) * 0.05 }}\n              >\n                <AgentCard agent={agent} onRefresh={onRefresh} />\n              </motion.div>\n            ))}\n          </motion.div>\n\n          {/* Empty state */}\n          {!isLoading && agents.length === 0 && (\n            <motion.div\n              initial={{ opacity: 0 }}\n              animate={{ opacity: 1 }}\n              transition={{ duration: 0.5, delay: 0.4 }}\n              className=\"text-center py-16\"\n            >\n              <p className=\"text-slate-500 dark:text-slate-400\">\n                {t(\n                  \"space.noAgents\",\n                  \"No agents yet. Create your first agent to get started!\"\n                )}\n              </p>\n            </motion.div>\n          )}\n        </div>\n      </motion.div>\n\n      {/* Import Wizard Modal */}\n      <AgentImportWizard\n        visible={importWizardVisible}\n        onCancel={() => {\n          setImportWizardVisible(false);\n          setImportWizardData(null);\n        }}\n        initialData={importWizardData}\n        onImportComplete={() => {\n          setImportWizardVisible(false);\n          setImportWizardData(null);\n          invalidate(); // Refresh the agent list\n        }}\n      />\n    </div>\n  );\n}\n"
  },
  {
    "path": "frontend/app/[locale]/tenant-resources/components/UserManageComp.tsx",
    "content": "\"use client\";\n\nimport React, { useState, useEffect, useRef } from \"react\";\nimport { useQuery } from \"@tanstack/react-query\";\nimport {\n  Row,\n  Col,\n  Tabs,\n  Button,\n  App,\n  Modal,\n  Form,\n  Input,\n  message,\n  Switch,\n  Spin,\n  Pagination,\n  Alert,\n  Space,\n} from \"antd\";\nimport { Users, Plus, Edit, Edit2, Building2, Trash2, AlertTriangle } from \"lucide-react\";\nimport { motion } from \"framer-motion\";\nimport { useTranslation } from \"react-i18next\";\nimport { useTenantList } from \"@/hooks/tenant/useTenantList\";\nimport {\n  type Tenant,\n  createTenant,\n  updateTenant,\n  deleteTenant,\n  getTenantUsers,\n  getTenant,\n} from \"@/services/tenantService\";\nimport { createInvitation, deleteInvitation } from \"@/services/invitationService\";\nimport { authService } from \"@/services/authService\";\nimport UserList from \"./resources/UserList\";\nimport GroupList from \"./resources/GroupList\";\nimport ModelList from \"./resources/ModelList\";\nimport KnowledgeList from \"./resources/KnowledgeList\";\nimport InvitationList from \"./resources/InvitationList\";\nimport AgentList from \"./resources/AgentList\";\nimport McpList from \"./resources/McpList\";\nimport { useDeployment } from \"@/components/providers/deploymentProvider\";\nimport { useAuthorizationContext } from \"@/components/providers/AuthorizationProvider\";\nimport { USER_ROLES } from \"@/const/auth\";\nimport { Can } from \"@/components/permission/Can\";\n\n// Default page size for pagination\nconst DEFAULT_PAGE_SIZE = 20;\n\n// Removed mockTenants - now using real data from API\n\nfunction TenantList({\n  selected,\n  onSelect,\n  tenants,\n  total,\n  page,\n  pageSize,\n  totalPages,\n  onPageChange,\n  onTenantsRefetch,\n  loading,\n  t,\n  onUserListRefresh,\n  onInvitationListRefresh,\n}: {\n  selected: string | null;\n  onSelect: (id: string) => void;\n  tenants: Tenant[];\n  total?: number;\n  page?: number;\n  pageSize?: number;\n  totalPages?: number;\n  onPageChange?: (page: number) => void;\n  onTenantsRefetch: () => Promise<unknown>;\n  loading?: boolean;\n  t: (key: string, options?: any) => string;\n    onUserListRefresh?: () => void;\n    onInvitationListRefresh?: () => void;\n}) {\n  const [editingTenant, setEditingTenant] = useState<Tenant | null>(null);\n  const [modalVisible, setModalVisible] = useState(false);\n  const [form] = Form.useForm();\n\n  // State for generate admin account feature\n  const [generateAdminAccount, setGenerateAdminAccount] = useState(false);\n\n  // Delete modal state\n  const [deleteModalVisible, setDeleteModalVisible] = useState(false);\n  const [deletingTenant, setDeletingTenant] = useState<Tenant | null>(null);\n  const [tenantUsers, setTenantUsers] = useState<any[]>([]);\n  const [deleteLoading, setDeleteLoading] = useState(false);\n\n  // Handle scroll event for infinite loading\n  const openCreate = () => {\n    setEditingTenant(null);\n    form.resetFields();\n    setGenerateAdminAccount(false);\n    setModalVisible(true);\n  };\n\n  const openEdit = (tenant: Tenant) => {\n    setEditingTenant(tenant);\n    form.setFieldsValue({ name: tenant.tenant_name });\n    setModalVisible(true);\n  };\n\n  // Handle delete button click - show warning modal with users list\n  const handleDeleteClick = async (tenant: Tenant) => {\n    setDeletingTenant(tenant);\n    setDeleteLoading(true);\n    setDeleteModalVisible(true);\n\n    try {\n      // Fetch users for this tenant\n      const usersData = await getTenantUsers(tenant.tenant_id);\n      setTenantUsers(usersData.users || []);\n    } catch (error) {\n      console.error(\"Failed to fetch tenant users:\", error);\n      setTenantUsers([]);\n    } finally {\n      setDeleteLoading(false);\n    }\n  };\n\n  // Handle actual delete confirmation\n  const handleDeleteConfirm = async () => {\n    if (!deletingTenant) return;\n\n    try {\n      await deleteTenant(deletingTenant.tenant_id);\n      message.success(t(\"tenantResources.tenants.deleted\"));\n\n      // Refresh the tenant list\n      await onTenantsRefetch();\n\n      // Clear selection if the deleted tenant was selected\n      // Use local tenants array which should be updated after refetch\n      if (selected === deletingTenant.tenant_id) {\n        const remainingTenants = tenants.filter(\n          (t: Tenant) => t.tenant_id !== deletingTenant.tenant_id\n        );\n        if (remainingTenants.length > 0) {\n          onSelect(remainingTenants[0].tenant_id);\n        } else {\n          onSelect(\"\");\n        }\n      }\n    } catch (error: any) {\n      const errorMessage = error?.response?.data?.detail || error?.message || \"\";\n      message.error(errorMessage || t(\"tenantResources.tenantDeleteFailed\"));\n    } finally {\n      setDeleteModalVisible(false);\n      setDeletingTenant(null);\n      setTenantUsers([]);\n    }\n  };\n\n  // Close delete modal\n  const handleDeleteCancel = () => {\n    setDeleteModalVisible(false);\n    setDeletingTenant(null);\n    setTenantUsers([]);\n  };\n\n  const handleSubmit = async () => {\n    try {\n      const values = await form.validateFields();\n\n      if (editingTenant) {\n        await updateTenant(editingTenant.tenant_id, {\n          tenant_name: values.name,\n        });\n        // Refresh the tenant list to reflect the updated tenant name\n        await onTenantsRefetch();\n        message.success(t(\"tenantResources.tenants.updated\"));\n      } else {\n        // Create tenant first\n        const newTenant = await createTenant({ tenant_name: values.name });\n        // Refresh the tenant list to include the new tenant\n        await onTenantsRefetch();\n        onSelect(newTenant.tenant_id);\n        message.success(t(\"tenantResources.tenants.created\"));\n\n        // If generate admin account is enabled, create invitation and register admin\n        if (generateAdminAccount && values.adminEmail && values.adminPassword) {\n          try {\n            // Create invitation code with capacity=1 and code_type=ADMIN_INVITE\n            const invitation = await createInvitation({\n              tenant_id: newTenant.tenant_id,\n              code_type: \"ADMIN_INVITE\",\n              capacity: 1,\n            });\n\n            // Register admin account using the invitation code\n            // Do not auto-login for tenant admin creation\n            const signupResult = await authService.signUp(\n              values.adminEmail,\n              values.adminPassword,\n              invitation.invitation_code,\n              false\n            );\n\n            if (signupResult.error) {\n              // Handle signup error\n              const errorMsg = signupResult.error.message || \"\";\n              if (errorMsg.includes(\"already exists\") || errorMsg.includes(\"EMAIL_ALREADY_EXISTS\")) {\n                message.error(t(\"tenantResources.tenants.emailAlreadyExists\"));\n              } else {\n                message.error(t(\"tenantResources.tenants.failedToCreateAdminAccount\"));\n              }\n            } else {\n              message.success(t(\"tenantResources.tenants.adminAccountCreated\"));\n              // Delete the invitation code after successful admin registration\n              try {\n                await deleteInvitation(invitation.invitation_code);\n              } catch (deleteError) {\n                // Log error but don't block the success flow\n                console.warn(\"Failed to delete invitation code after admin registration:\", deleteError);\n              }\n              // Refresh user list and invitation list to show the newly created admin\n              onUserListRefresh?.();\n              onInvitationListRefresh?.();\n            }\n          } catch (adminError: any) {\n            // Handle admin account creation error\n            const errorMsg = adminError?.response?.data?.message || adminError?.message || \"\";\n            if (errorMsg.includes(\"already exists\") || errorMsg.includes(\"EMAIL_ALREADY_EXISTS\")) {\n              message.error(t(\"tenantResources.tenants.emailAlreadyExists\"));\n            } else {\n              message.error(t(\"tenantResources.tenants.failedToCreateAdminAccount\"));\n            }\n          }\n        }\n      }\n      setModalVisible(false);\n    } catch (err: any) {\n      const errorMessage = err?.response?.data?.message || err?.message || \"\";\n      const nameConflictMatch = errorMessage.match(/Tenant with name '(.*)' already exists/i);\n\n      if (nameConflictMatch && nameConflictMatch[1]) {\n        // Extract the duplicate name and show translated error\n        message.error(t(\"tenantResources.tenants.nameExists\", { name: nameConflictMatch[1] }));\n      } else if (errorMessage.includes(\"Tenant name cannot be empty\")) {\n        // Handle empty name error\n        message.error(t(\"tenantResources.tenants.nameRequired\"));\n      } else {\n        // Show generic error for other cases\n        message.error(t(\"tenantResources.tenantOperationFailed\"));\n      }\n    }\n  };\n\n  return (\n    <div className=\"p-2\">\n      <div className=\"flex items-center justify-between mb-2 px-1\">\n        <div className=\"text-sm font-medium text-gray-600\">\n          {t(\"tenantResources.tenants.tenants\")}\n        </div>\n        <Button\n          type=\"text\"\n          size=\"small\"\n          icon={<Plus className=\"h-3 w-3\" />}\n          onClick={openCreate}\n          className=\"p-1 hover:bg-gray-100 rounded\"\n        />\n      </div>\n      <div\n        className=\"space-y-1 overflow-y-auto\"\n        style={{ maxHeight: \"calc(100vh - 340px)\" }}\n      >\n        {loading && (\n          <div key=\"loading\" className=\"p-4 text-center text-gray-500\">\n            <Spin size=\"small\" /> Loading tenants...\n          </div>\n        )}\n        {!loading && tenants.length === 0 && (\n          <div key=\"empty\" className=\"p-4 text-center text-gray-500\">No tenants found</div>\n        )}\n        {!loading && tenants.length > 0 && (\n          <>\n            {tenants.map((tenant, index) => (\n            <div\n              key={tenant.tenant_id || `tenant-${index}`}\n              className={`group p-2 rounded-md cursor-pointer transition-all ${\n                selected === tenant.tenant_id\n                  ? \"bg-blue-50 border border-blue-200\"\n                  : \"hover:bg-gray-50\"\n              }`}\n              onClick={() => onSelect(tenant.tenant_id)}\n            >\n              <div className=\"flex items-center justify-between\">\n                <div className=\"flex-1\">\n                  {tenant.tenant_name || t(\"tenantResources.tenants.unnamed\")}\n                </div>\n                <div className=\"opacity-0 group-hover:opacity-100 flex space-x-1\">\n                  <Button\n                    type=\"text\"\n                    size=\"small\"\n                    icon={<Edit className=\"h-3 w-3\" />}\n                    onClick={(e) => {\n                      e.stopPropagation();\n                      openEdit(tenant);\n                    }}\n                    className=\"p-1 hover:bg-gray-200 rounded\"\n                  />\n                  {/* Delete button - shows warning modal with users list */}\n                  <Button\n                    type=\"text\"\n                    size=\"small\"\n                    icon={<Trash2 className=\"h-3 w-3\" />}\n                    onClick={(e) => {\n                      e.stopPropagation();\n                      handleDeleteClick(tenant);\n                    }}\n                    className=\"p-1 hover:bg-red-100 text-red-500 hover:text-red-600 rounded\"\n                  />\n                </div>\n              </div>\n            </div>\n            ))}\n          </>\n        )}\n      </div>\n\n      {/* Pagination */}\n      {total !== undefined && total > 0 && (\n        <div className=\"p-2 flex justify-center\">\n          <Pagination\n            current={page}\n            pageSize={pageSize}\n            total={total}\n            onChange={onPageChange}\n            showSizeChanger={false}\n            size=\"small\"\n            hideOnSinglePage={true}\n          />\n        </div>\n      )}\n\n      {/* Tenant Modal */}\n      <Modal\n        title={\n          editingTenant\n            ? t(\"tenantResources.tenants.editTenant\")\n            : t(\"tenantResources.tenants.createTenant\")\n        }\n        open={modalVisible}\n        onOk={handleSubmit}\n        onCancel={() => setModalVisible(false)}\n        okText={t(\"common.confirm\")}\n        cancelText={t(\"common.cancel\")}\n      >\n        <Form layout=\"vertical\" form={form} autoComplete=\"off\" style={{ marginBottom: -12 }}>\n          <Form.Item\n            name=\"name\"\n            label={t(\"tenantResources.tenants.name\")}\n            rules={[\n              {\n                required: true,\n                message: t(\"common.required\"),\n              },\n            ]}\n          >\n            <Input placeholder={t(\"tenantResources.tenants.namePlaceholder\")} />\n          </Form.Item>\n\n          {/* Generate Admin Account Switch - Only show in create mode */}\n          {!editingTenant && (\n            <>\n              <Form.Item\n                labelCol={{ span: 24 }}\n                wrapperCol={{ span: 24 }}\n              >\n                <div className=\"flex items-center justify-between\">\n                  <span>{t(\"tenantResources.tenants.generateAdminAccount\")}</span>\n                  <Switch\n                    checked={generateAdminAccount}\n                    onChange={(checked) => {\n                      setGenerateAdminAccount(checked);\n                      if (!checked) {\n                        form.resetFields([\"adminEmail\", \"adminPassword\", \"confirmAdminPassword\"]);\n                      }\n                    }}\n                  />\n                </div>\n              </Form.Item>\n\n              {/* Admin account fields - show when switch is enabled */}\n              {generateAdminAccount && (\n                <>\n                  <Form.Item\n                    name=\"adminEmail\"\n                    label={t(\"tenantResources.tenants.adminEmail\")}\n                    rules={[\n                      {\n                        required: true,\n                        message: t(\"tenantResources.tenants.adminEmailRequired\"),\n                      },\n                      {\n                        type: \"email\",\n                        message: t(\"tenantResources.tenants.invalidEmailFormat\"),\n                      },\n                    ]}\n                  >\n                    <Input placeholder={t(\"tenantResources.tenants.adminEmail\")} autoComplete=\"new-email\" />\n                  </Form.Item>\n\n                  <Form.Item\n                    name=\"adminPassword\"\n                    label={t(\"tenantResources.tenants.adminPassword\")}\n                    rules={[\n                      {\n                        required: true,\n                        message: t(\"tenantResources.tenants.adminPasswordRequired\"),\n                      },\n                      {\n                        min: 6,\n                        message: t(\"tenantResources.tenants.weakPassword\"),\n                      },\n                    ]}\n                  >\n                    <Input.Password\n                      placeholder={t(\"tenantResources.tenants.adminPassword\")}\n                      autoComplete=\"new-password\"\n                    />\n                  </Form.Item>\n\n                  <Form.Item\n                    name=\"confirmAdminPassword\"\n                    label={t(\"tenantResources.tenants.confirmAdminPassword\")}\n                    dependencies={[\"adminPassword\"]}\n                    rules={[\n                      {\n                        required: true,\n                        message: t(\"tenantResources.tenants.adminPasswordRequired\"),\n                      },\n                      ({ getFieldValue }) => ({\n                        validator(_, value) {\n                          if (!value || getFieldValue(\"adminPassword\") === value) {\n                            return Promise.resolve();\n                          }\n                          return Promise.reject(new Error(t(\"tenantResources.tenants.passwordsDoNotMatch\")));\n                        },\n                      }),\n                    ]}\n                  >\n                    <Input.Password\n                      placeholder={t(\"tenantResources.tenants.confirmAdminPassword\")}\n                      autoComplete=\"new-password\"\n                    />\n                  </Form.Item>\n                </>\n              )}\n            </>\n          )}\n        </Form>\n      </Modal>\n\n      {/* Delete Tenant Warning Modal */}\n      <Modal\n        centered\n        title={\n          <Space className=\"text-red-600\">\n            <AlertTriangle className=\"h-5 w-5\" />\n            <span>{t(\"tenantResources.tenants.deleteTenant\")}</span>\n          </Space>\n        }\n        open={deleteModalVisible}\n        onOk={handleDeleteConfirm}\n        onCancel={handleDeleteCancel}\n        okText={t(\"common.confirm\")}\n        cancelText={t(\"common.cancel\")}\n        okButtonProps={{ danger: true }}\n        confirmLoading={deleteLoading}\n        width={500}\n      >\n        <Alert\n          type=\"error\"\n          showIcon\n          className=\"mb-4\"\n          message={t(\"common.cannotBeUndone\")}\n          description={\n            <ul className=\"list-disc pl-4 mt-2 space-y-1\">\n              <li>\n                {t(\"tenantResources.tenants.willBeDeleted\", {\n                  name: deletingTenant?.tenant_name,\n                })}\n              </li>\n              <li>{t(\"tenantResources.tenants.resourcesWillBeDeleted\")}</li>\n            </ul>\n          }\n        />\n\n        {/* Users list */}\n        {deleteLoading ? (\n          <Spin size=\"small\" />\n        ) : tenantUsers.length > 0 ? (\n          <div className=\"mt-4\">\n            <div className=\"font-medium text-gray-700 dark:text-gray-300 mb-2\">\n              {t(\"tenantResources.tenants.usersToBeDeleted\", {\n                count: tenantUsers.length,\n              })}\n            </div>\n            <div className=\"max-h-32 overflow-y-auto border rounded-md\">\n              <table className=\"min-w-full text-sm\">\n                <thead className=\"bg-gray-50 dark:bg-gray-800 sticky top-0\">\n                  <tr>\n                    <th className=\"px-3 py-1.5 text-left text-gray-500 dark:text-gray-400 text-xs font-normal\">\n                      {t(\"tenantResources.users.email\")}\n                    </th>\n                    <th className=\"px-3 py-1.5 text-left text-gray-500 dark:text-gray-400 text-xs font-normal\">\n                      {t(\"tenantResources.users.role\")}\n                    </th>\n                  </tr>\n                </thead>\n                <tbody className=\"divide-y divide-gray-100 dark:divide-gray-700\">\n                  {tenantUsers.slice(0, 5).map((user: any, idx: number) => (\n                    <tr\n                      key={user.id || idx}\n                      className=\"hover:bg-gray-50 dark:hover:bg-gray-800\"\n                    >\n                      <td className=\"px-3 py-1.5 text-gray-900 dark:text-gray-100 text-sm\">\n                        {user.username || \"-\"}\n                      </td>\n                      <td className=\"px-3 py-1.5 text-gray-900 dark:text-gray-100 text-sm\">\n                        {t(`user.role.${user.role?.toLowerCase()}`) || \"-\"}\n                      </td>\n                    </tr>\n                  ))}\n                </tbody>\n              </table>\n              {tenantUsers.length > 5 && (\n                <div className=\"px-3 py-1.5 text-xs text-gray-500 bg-gray-50 dark:bg-gray-800\">\n                  ...and {tenantUsers.length - 5} more\n                </div>\n              )}\n            </div>\n          </div>\n        ) : (\n          <div className=\"mt-4 text-gray-500 text-sm\">\n            {t(\"tenantResources.tenants.noUsers\")}\n          </div>\n        )}\n      </Modal>\n    </div>\n  );\n}\n\nexport default function UserManageComp() {\n  const { t } = useTranslation(\"common\");\n  const { message } = App.useApp();\n  const { user } = useAuthorizationContext();\n  const { isSpeedMode } = useDeployment();\n\n  // Check if user is super admin (speed mode or admin role)\n  const isSuperAdmin = isSpeedMode || user?.role === USER_ROLES.SU;\n\n  // Pagination state\n  const [currentPage, setCurrentPage] = useState(1);\n\n  // Get paginated tenant data from API\n  const {\n    data: tenantData,\n    isLoading: tenantsLoading,\n    refetch: refetchTenants,\n  } = useTenantList({ page: currentPage, page_size: DEFAULT_PAGE_SIZE });\n\n  // For non-super admins, automatically select their own tenant based on user.tenantId\n  // This must be declared before useQuery that uses tenantId\n  const [tenantId, setTenantId] = useState<string | null>(null);\n  useEffect(() => {\n    if (!isSuperAdmin && user?.tenantId && !tenantId) {\n      setTenantId(user.tenantId);\n    }\n  }, [isSuperAdmin, tenantId, user?.tenantId]);\n\n  // For non-super-admin users, directly fetch their tenant details\n  // This ensures they always get the correct tenant info regardless of pagination\n  const {\n    data: directTenantData,\n    isLoading: directTenantLoading,\n    refetch: refetchDirectTenant,\n  } = useQuery({\n    queryKey: [\"tenant\", tenantId],\n    queryFn: async () => {\n      if (!tenantId || isSuperAdmin) return null;\n      return await getTenant(tenantId);\n    },\n    enabled: !!tenantId && !isSuperAdmin,\n    staleTime: 1000 * 60, // Cache for 1 minute\n  });\n\n  // Handle page change\n  const handlePageChange = (page: number) => {\n    setCurrentPage(page);\n  };\n\n  // Reset tenants when page changes to super admin\n  useEffect(() => {\n    if (isSuperAdmin) {\n      setCurrentPage(1);\n    }\n  }, [isSuperAdmin]);\n\n  // Tenant management state for super admin operations\n  const [tenantsState, setTenantsState] = useState<Tenant[]>([]);\n\n  // User list refresh key - increment to trigger user list refetch\n  const [userListRefreshKey, setUserListRefreshKey] = useState(0);\n\n  // Invitation list refresh key - increment to trigger invitation list refetch\n  const [invitationListRefreshKey, setInvitationListRefreshKey] = useState(0);\n\n  // Get current tenant name\n  // For non-super-admin: use directly fetched tenant data (directTenantData)\n  // For super-admin: use paginated tenant list (tenantData)\n  let currentTenant: Tenant | undefined;\n  let currentTenantName: string;\n\n  if (!isSuperAdmin && directTenantData) {\n    // Non-super-admin: use directly fetched tenant info\n    currentTenant = directTenantData;\n    currentTenantName = directTenantData.tenant_name || t(\"tenantResources.tenants.unnamed\");\n  } else {\n    // Super-admin: search in paginated list\n    currentTenant = tenantData?.data?.find((t: Tenant) => t.tenant_id === tenantId);\n    currentTenantName = currentTenant?.tenant_name || t(\"tenantResources.tenants.unnamed\");\n  }\n\n  // Tenant name editing states\n  const [isEditingTenantName, setIsEditingTenantName] = useState(false);\n  const [editingTenantName, setEditingTenantName] = useState(\"\");\n  const tenantNameInputRef = useRef<any>(null);\n\n  // Start editing tenant name\n  const startEditingTenantName = () => {\n    if (!tenantId) return;\n    setEditingTenantName(currentTenantName);\n    setIsEditingTenantName(true);\n    // Focus input after render\n    setTimeout(() => {\n      tenantNameInputRef.current?.focus();\n    }, 0);\n  };\n\n  // Save tenant name\n  const saveTenantName = async () => {\n    if (!tenantId) return;\n    const trimmedName = editingTenantName.trim();\n    if (!trimmedName) {\n      message.error(t(\"tenantResources.tenants.nameRequired\"));\n      return;\n    }\n    if (trimmedName === currentTenantName) {\n      setIsEditingTenantName(false);\n      return;\n    }\n    try {\n      await updateTenant(tenantId, { tenant_name: trimmedName });\n      // For non-super-admin, refetch the direct tenant data; for super-admin, refetch the list\n      if (!isSuperAdmin) {\n        await refetchDirectTenant();\n      } else {\n        await refetchTenants();\n      }\n      message.success(t(\"tenantResources.tenants.updated\"));\n      setIsEditingTenantName(false);\n    } catch (error) {\n      message.error(t(\"tenantResources.tenantOperationFailed\"));\n    }\n  };\n\n  // Cancel editing tenant name\n  const cancelEditingTenantName = () => {\n    setEditingTenantName(\"\");\n    setIsEditingTenantName(false);\n  };\n\n  // Handle input key events\n  const handleTenantNameKeyDown = (e: React.KeyboardEvent) => {\n    if (e.key === \"Enter\") {\n      saveTenantName();\n    } else if (e.key === \"Escape\") {\n      cancelEditingTenantName();\n    }\n  };\n\n  return (\n    <div className=\"w-full h-full\">\n      {/* Page header: grouped header without dividing line */}\n      <div className=\"w-full px-10 pt-10\">\n        <motion.div\n          initial={{ opacity: 0, y: -8 }}\n          animate={{ opacity: 1, y: 0 }}\n          transition={{ duration: 0.35 }}\n        >\n          <div className=\"flex items-center gap-3\">\n            <div className=\"w-12 h-12 rounded-full bg-gradient-to-br from-purple-500 to-indigo-500 flex items-center justify-center shadow-sm\">\n              <Building2 className=\"h-6 w-6 text-white\" />\n            </div>\n            <div>\n              <h1 className=\"text-2xl font-bold text-purple-600 dark:text-purple-500\">\n                {t(\"tenantResources.title\") || \"Tenant Resource Management\"}\n              </h1>\n              <p className=\"text-slate-600 dark:text-slate-300 mt-1\">\n                {t(\"tenantResources.subtitle\") ||\n                  \"Manage tenants, users, groups and resources\"}\n              </p>\n            </div>\n          </div>\n        </motion.div>\n      </div>\n      <Row className=\"flex-1 min-h-0 h-full\" align=\"stretch\">\n        <Can permission=\"tenant.list:read\">\n          <Col className=\"flex flex-col h-full\" style={{ width: 300 }}>\n            <div className=\"h-full pr-6\">\n              <div className=\"sticky top-6\">\n                <div className=\"bg-white dark:bg-gray-800 rounded-md shadow-sm p-3\">\n                  <TenantList\n                    selected={tenantId}\n                    onSelect={(id) => setTenantId(id)}\n                    tenants={tenantData?.data || []}\n                    total={tenantData?.total}\n                    page={tenantData?.page}\n                    pageSize={tenantData?.page_size}\n                    totalPages={tenantData?.total_pages}\n                    onPageChange={handlePageChange}\n                    onTenantsRefetch={async () => {\n                      setCurrentPage(1);\n                      return refetchTenants();\n                    }}\n                    loading={tenantsLoading}\n                    t={t}\n                    onUserListRefresh={() => setUserListRefreshKey((prev) => prev + 1)}\n                    onInvitationListRefresh={() => setInvitationListRefreshKey((prev) => prev + 1)}\n                  />\n                </div>\n              </div>\n            </div>\n          </Col>\n        </Can>\n        <Col className=\"flex-1 flex flex-col p-6 overflow-hidden\">\n          <div className=\"bg-white dark:bg-gray-800 rounded-md shadow-sm p-4 h-full flex flex-col overflow-hidden\">\n            {/* Tenant name header */}\n            <div className=\"mb-4 pb-2 border-b border-gray-200 dark:border-gray-700 flex-shrink-0\">\n              {isEditingTenantName ? (\n                <Input\n                  ref={tenantNameInputRef}\n                  value={editingTenantName}\n                  onChange={(e) => setEditingTenantName(e.target.value)}\n                  onBlur={saveTenantName}\n                  onKeyDown={handleTenantNameKeyDown}\n                  className=\"text-lg font-semibold text-gray-900 dark:text-gray-100\"\n                  placeholder={t(\"tenantResources.tenants.name\")}\n                />\n              ) : (\n                <div\n                  className=\"flex items-center gap-2 group cursor-pointer\"\n                  onClick={startEditingTenantName}\n                >\n                  <h2 className=\"text-lg font-semibold text-gray-900 dark:text-gray-100\">\n                    {currentTenantName}\n                  </h2>\n                  <Edit2 className=\"h-4 w-4 text-gray-400 opacity-0 group-hover:opacity-100 transition-opacity\" />\n                </div>\n              )}\n            </div>\n\n            {tenantId ? (\n              <Tabs\n                defaultActiveKey=\"users\"\n                className=\"h-full flex flex-col\"\n                items={[\n                  {\n                    key: \"users\",\n                    label: t(\"tenantResources.tabs.users\") || \"Users\",\n                    children: <UserList tenantId={tenantId} refreshKey={userListRefreshKey} />,\n                  },\n                  {\n                    key: \"groups\",\n                    label: t(\"tenantResources.tabs.groups\") || \"Groups\",\n                    children: <GroupList tenantId={tenantId} />,\n                  },\n                  {\n                    key: \"models\",\n                    label: t(\"tenantResources.tabs.models\") || \"Models\",\n                    children: <ModelList tenantId={tenantId} />,\n                  },\n                  {\n                    key: \"knowledge\",\n                    label:\n                      t(\"tenantResources.tabs.knowledge\") || \"Knowledge Base\",\n                    children: <KnowledgeList tenantId={tenantId} />,\n                  },\n                  {\n                          key: \"agents\",\n                          label: t(\"tenantResources.tabs.agents\") || \"Agents\",\n                          children: <AgentList tenantId={tenantId} />,\n                  },\n                  {\n                    key: \"mcp\",\n                    label: t(\"tenantResources.tabs.mcp\") || \"MCP\",\n                    children: <McpList tenantId={tenantId} />,\n                  },\n                  {\n                    key: \"invitations\",\n                    label: t(\"tenantResources.invitation.tab\") || \"Invitations\",\n                    children: <InvitationList tenantId={tenantId} refreshKey={invitationListRefreshKey} />,\n                  },\n                ]}\n              />\n            ) : (\n              <div className=\"flex flex-col items-center justify-center py-12 text-center\">\n                <div className=\"w-16 h-16 bg-gray-100 dark:bg-gray-700 rounded-full flex items-center justify-center mb-4\">\n                  <Users className=\"h-8 w-8 text-gray-400\" />\n                </div>\n                  <h3 className=\"text-lg font-medium text-gray-900 dark:text-gray-100\">\n                  {t(\"tenantResources.selectTenantFirst\") ||\n                    \"Please select a tenant\"}\n                </h3>\n                <p className=\"text-gray-500 dark:text-gray-400 max-w-sm\">\n                  {t(\"tenantResources.selectTenantDescription\") ||\n                    \"Choose a tenant from the list to manage its users, groups, models, and knowledge base.\"}\n                </p>\n              </div>\n            )}\n          </div>\n        </Col>\n      </Row>\n    </div>\n  );\n}\n"
  },
  {
    "path": "frontend/app/[locale]/tenant-resources/components/resources/AgentList.tsx",
    "content": "\"use client\";\n\nimport React, { useMemo, useState } from \"react\";\nimport { useTranslation } from \"react-i18next\";\nimport {\n  Table,\n  Button,\n  App,\n  Tooltip,\n  Popconfirm,\n  Typography,\n  Tag,\n  Modal,\n  Form,\n  Input,\n  Select,\n  Spin,\n} from \"antd\";\nimport {\n  Trash2,\n  Maximize2,\n  CheckCircle,\n  CircleSlash,\n  Clock,\n  Eye,\n} from \"lucide-react\";\nimport { useQueryClient } from \"@tanstack/react-query\";\n\nimport { useAgentList } from \"@/hooks/agent/useAgentList\";\nimport { useGroupList } from \"@/hooks/group/useGroupList\";\nimport { deleteAgent, searchAgentInfo } from \"@/services/agentConfigService\";\nimport { fetchAgentVersionList } from \"@/services/agentVersionService\";\nimport { Agent } from \"@/types/agentConfig\";\nimport ExpandEditModal from \"@/app/agents/components/agentInfo/ExpandEditModal\";\nimport type { AgentVersion } from \"@/services/agentVersionService\";\n\nconst { Text } = Typography;\nconst { TextArea } = Input;\n\ninterface AgentDetail extends Agent {\n  duty_prompt?: string;\n  constraint_prompt?: string;\n  few_shots_prompt?: string;\n  group_ids?: number[];\n}\n\ntype AgentListRow = Pick<\n  Agent,\n  \"id\" | \"name\" | \"display_name\" | \"description\" | \"author\" | \"is_available\" | \"unavailable_reasons\" | \"group_ids\"\n> & {\n  model_id?: number;\n  model_name?: string;\n  model_display_name?: string;\n  is_published?: boolean;\n  current_version_no?: number;\n};\n\n\nexport default function AgentList({ tenantId }: { tenantId: string | null }) {\n  const { t } = useTranslation(\"common\");\n  const { message } = App.useApp();\n  const [form] = Form.useForm();\n  const queryClient = useQueryClient();\n\n  const getUnavailableReasonLabel = (reason: string) => {\n    switch (reason) {\n      case \"duplicate_name\":\n        return t(\"agent.unavailableReasons.duplicate_name\");\n      case \"duplicate_display_name\":\n        return t(\"agent.unavailableReasons.duplicate_display_name\");\n      case \"tool_unavailable\":\n        return t(\"agent.unavailableReasons.tool_unavailable\");\n      case \"model_unavailable\":\n        return t(\"agent.unavailableReasons.model_unavailable\");\n      default:\n        return reason;\n    }\n  };\n\n  // View modal state\n  const [editModalVisible, setEditModalVisible] = useState(false);\n  const [editingAgent, setEditingAgent] = useState<AgentListRow | null>(null);\n  const [isLoadingDetail, setIsLoadingDetail] = useState(false);\n\n  // Fullscreen view modal state\n  const [fullscreenEdit, setFullscreenEdit] = useState<{\n    visible: boolean;\n    field: \"description\" | \"duty_prompt\" | \"constraint_prompt\" | \"few_shots_prompt\" | null;\n    title: string;\n    value: string;\n  }>({\n    visible: false,\n    field: null,\n    title: \"\",\n    value: \"\",\n  });\n\n  // Version list state for each agent\n  const [agentVersions, setAgentVersions] = useState<Map<number, AgentVersion[]>>(new Map());\n  const [loadingVersions, setLoadingVersions] = useState<Map<number, boolean>>(new Map());\n  // Selected version for each agent (0 means current version)\n  const [selectedVersions, setSelectedVersions] = useState<Map<number, number>>(new Map());\n\n  const { agents, isLoading, refetch } = useAgentList(tenantId);\n\n  // Fetch groups for group name mapping and selection\n  const { data: groupData } = useGroupList(tenantId);\n  const groups = groupData?.groups || [];\n\n  // Create group name mapping\n  const groupNameMap = useMemo(() => {\n    const map = new Map<number, string>();\n    groups.forEach((group) => {\n      map.set(group.group_id, group.group_name);\n    });\n    return map;\n  }, [groups]);\n\n  // Get group names for agent\n  const getGroupNames = (groupIds?: number[]) => {\n    if (!groupIds || groupIds.length === 0) return [];\n    return groupIds.map((id) => groupNameMap.get(id) || `Group ${id}`).filter(Boolean);\n  };\n\n  const handleDelete = async (agent: AgentListRow) => {\n    try {\n      // Agent ID is string in frontend type but number in backend service\n      const res = await deleteAgent(Number(agent.id), tenantId ?? undefined);\n      if (res.success) {\n        message.success(t(\"businessLogic.config.error.agentDeleteSuccess\"));\n        queryClient.invalidateQueries({ queryKey: [\"agents\"] });\n      } else {\n        message.error(res.message || t(\"businessLogic.config.error.agentDeleteFailed\"));\n      }\n    } catch (error) {\n      message.error(t(\"common.unknownError\"));\n    }\n  };\n\n  const openEditModal = async (agent: AgentListRow) => {\n    setEditingAgent(agent);\n    setIsLoadingDetail(true);\n    setEditModalVisible(true);\n\n    try {\n      const agentId = Number(agent.id);\n      const isPublished = agent.is_published === true;\n\n      // For published agents, use selected version or current_version_no\n      // For unpublished agents, use version_no=0 (draft)\n      let selectedVersionNo: number;\n      if (isPublished) {\n        const currentVersionNo = agent.current_version_no || 0;\n        selectedVersionNo = selectedVersions.get(agentId) ?? currentVersionNo;\n      } else {\n        selectedVersionNo = 0;\n      }\n\n      const res = await searchAgentInfo(agentId, tenantId ?? undefined, selectedVersionNo);\n      if (res.success && res.data) {\n        const detail = res.data;\n        setEditingAgent(agent);\n        form.setFieldsValue({\n          display_name: detail.display_name,\n          description: detail.description,\n          duty_prompt: detail.duty_prompt,\n          constraint_prompt: detail.constraint_prompt,\n          few_shots_prompt: detail.few_shots_prompt,\n          group_ids: detail.group_ids || [],\n        });\n      } else {\n        message.error(res.message || t(\"common.unknownError\"));\n        setEditModalVisible(false);\n      }\n    } catch (error) {\n      message.error(t(\"common.unknownError\"));\n      setEditModalVisible(false);\n    } finally {\n      setIsLoadingDetail(false);\n    }\n  };\n\n  const handleEditModalCancel = () => {\n    setEditModalVisible(false);\n    setEditingAgent(null);\n    form.resetFields();\n  };\n\n  // Fullscreen view handlers\n  const openFullscreenEdit = (\n    field: \"description\" | \"duty_prompt\" | \"constraint_prompt\" | \"few_shots_prompt\",\n    title: string\n  ) => {\n    const value = form.getFieldValue(field) || \"\";\n    setFullscreenEdit({\n      visible: true,\n      field,\n      title,\n      value,\n    });\n  };\n\n  const handleFullscreenSave = (value: string) => {\n    // In view mode, don't save changes, just close\n    setFullscreenEdit({ visible: false, field: null, title: \"\", value: \"\" });\n  };\n\n  // Load agent versions when dropdown is opened\n  const handleVersionDropdownOpen = async (agentId: number, open: boolean) => {\n    if (open && !agentVersions.has(agentId)) {\n      setLoadingVersions(prev => new Map(prev).set(agentId, true));\n      try {\n        const res = await fetchAgentVersionList(agentId, tenantId ?? undefined);\n        if (res.success && res.data) {\n          setAgentVersions(prev => new Map(prev).set(agentId, res.data.items || []));\n        } else {\n          message.error(res.message || t(\"common.unknownError\"));\n        }\n      } catch (error) {\n        message.error(t(\"common.unknownError\"));\n      } finally {\n        setLoadingVersions(prev => {\n          const newMap = new Map(prev);\n          newMap.delete(agentId);\n          return newMap;\n        });\n      }\n    }\n  };\n\n  const columns = [\n    {\n      title: t(\"agent.displayName\"),\n      dataIndex: \"display_name\",\n      key: \"display_name\",\n      width: \"14%\",\n      render: (text: string) => <Text strong>{text}</Text>,\n    },\n    {\n      title: t(\"agent.name\"),\n      dataIndex: \"name\",\n      key: \"name\",\n      width: \"14%\",\n    },\n    {\n      title: t(\"agent.llmModel\"),\n      key: \"llm_model\",\n      width: \"18%\",\n      render: (_: unknown, record: AgentListRow) => {\n        const primary = record.model_display_name || record.model_name || \"-\";\n        const secondary = record.model_name || \"\";\n        return (\n          <div>\n            <div className=\"font-medium\">{primary}</div>\n            {secondary ? (\n              <div className=\"text-sm text-gray-500\">{secondary}</div>\n            ) : null}\n          </div>\n        );\n      },\n    },\n    {\n      title: t(\"agent.userGroup\"),\n      dataIndex: \"group_ids\",\n      key: \"group_names\",\n      width: \"20%\",\n      render: (groupIds: number[]) => {\n        const names = getGroupNames(groupIds);\n        return (\n          <div className=\"flex flex-wrap gap-1\">\n            {names.length > 0 ? (\n              names.map((name, index) => (\n                <Tag\n                  key={index}\n                  color=\"blue\"\n                  variant=\"outlined\"\n                >\n                  {name}\n                </Tag>\n              ))\n            ) : (\n              <span className=\"text-gray-400\">{t(\"agent.userGroup.empty\")}</span>\n            )}\n          </div>\n        );\n      },\n    },\n    {\n      title: t(\"agent.version\"),\n      key: \"version\",\n      width: \"10%\",\n      render: (_: unknown, record: AgentListRow) => {\n        const agentId = Number(record.id);\n        const isPublished = record.is_published === true;\n\n        // If not published, show \"无已发布版本\"\n        if (!isPublished) {\n          return <span className=\"text-gray-400\">{t(\"agent.version.noPublished\")}</span>;\n        }\n\n        const versions = agentVersions.get(agentId) || [];\n        const isLoading = loadingVersions.get(agentId) || false;\n        const currentVersionNo = record.current_version_no || 0;\n\n        // Default to current_version_no if not selected, fallback to first version\n        // Must have a default value, cannot be undefined\n        const selectedVersionNo = selectedVersions.has(agentId)\n          ? selectedVersions.get(agentId)!\n          : currentVersionNo > 0 ? currentVersionNo : (versions[0]?.version_no || undefined);\n\n        // Build options: only published versions (no draft version 0)\n        const options = versions.map((version) => ({\n          label: version.version_name,\n          value: version.version_no,\n        }));\n\n        return (\n          <Select\n            placeholder={t(\"agent.version.select\")}\n            value={selectedVersionNo}\n            loading={isLoading}\n            onDropdownVisibleChange={(open) => handleVersionDropdownOpen(agentId, open)}\n            onChange={(value) => {\n              setSelectedVersions(prev => new Map(prev).set(agentId, value));\n            }}\n            style={{ width: \"100%\" }}\n            options={options}\n          />\n        );\n      },\n    },\n    {\n      title: t(\"common.status\"),\n      key: \"status\",\n      width: \"10%\",\n      render: (_: unknown, record: AgentListRow) => {\n        const isPublished = record.is_published === true;\n\n        // If not published, only show unpublished status\n        if (!isPublished) {\n          return (\n            <div className=\"flex items-center gap-2 min-w-0\">\n              <Tag\n                color=\"#AEB6BF\"\n                className=\"inline-flex items-center\"\n                variant=\"solid\"\n              >\n                <Clock className=\"w-3 h-3 mr-1\" />\n                {t(\"agent.status.unpublished\")}\n              </Tag>\n            </div>\n          );\n        }\n\n        // If published, show available/unavailable status\n        const isAvailable = record.is_available !== false;\n        const reasons = Array.isArray(record.unavailable_reasons)\n          ? record.unavailable_reasons.filter((r) => Boolean(r))\n          : [];\n        const reasonLabels = reasons.map((r) => getUnavailableReasonLabel(String(r)));\n\n        return (\n          <div className=\"flex items-center gap-2 min-w-0\">\n            {isAvailable ? (\n              <Tag\n                color=\"#229954\"\n                className=\"inline-flex items-center\"\n                variant=\"solid\"\n              >\n                <CheckCircle className=\"w-3 h-3 mr-1\" />\n                {t(\"mcpConfig.status.available\")}\n              </Tag>\n            ) : (\n              <Tooltip\n                title={reasonLabels.length > 0 ? reasonLabels.join(\", \") : \"-\"}\n                placement=\"top\"\n              >\n                <Tag\n                  color=\"#E74C3C\"\n                  className=\"inline-flex items-center\"\n                  variant=\"solid\"\n                >\n                  <CircleSlash className=\"w-3.5 h-3 mr-1\" />\n                  {t(\"mcpConfig.status.unavailable\")}\n                </Tag>\n              </Tooltip>\n            )}\n          </div>\n        );\n      },\n    },\n    {\n      title: t(\"common.actions\"),\n      key: \"action\",\n      width: \"14%\",\n      render: (_: any, record: AgentListRow) => (\n        <div className=\"flex items-center space-x-2\">\n          <Tooltip title={t(\"agent.action.view\")}>\n            <Button\n              type=\"text\"\n              icon={<Eye className=\"h-4 w-4\" />}\n              onClick={() => openEditModal(record)}\n              size=\"small\"\n            />\n          </Tooltip>\n          <Popconfirm\n            title={t(\"businessLogic.config.modal.deleteTitle\")}\n            description={t(\"businessLogic.config.modal.deleteContent\", { name: record.display_name })}\n            onConfirm={() => handleDelete(record)}\n            okText={t(\"common.confirm\")}\n            cancelText={t(\"common.cancel\")}\n          >\n            <Tooltip title={t(\"common.delete\")}>\n              <Button\n                type=\"text\"\n                danger\n                icon={<Trash2 className=\"h-4 w-4\" />}\n                size=\"small\"\n              />\n            </Tooltip>\n          </Popconfirm>\n        </div>\n      ),\n    },\n  ];\n\n  return (\n    <div className=\"h-full flex flex-col overflow-hidden\">\n      <div className=\"space-y-6 flex-1 overflow-auto\">\n        <div className=\"min-w-0\">\n          <Table\n            columns={columns}\n            dataSource={agents as AgentListRow[]}\n            rowKey=\"id\"\n            loading={isLoading}\n            size=\"small\"\n            pagination={{ pageSize: 10 }}\n            locale={{ emptyText: t(\"space.noAgents\") }}\n            scroll={{ x: true }}\n          />\n        </div>\n      </div>\n\n      {/* View Modal */}\n      <Modal\n        title={t(\"agent.action.view\")}\n        open={editModalVisible}\n        onCancel={handleEditModalCancel}\n        footer={[\n          <Button key=\"close\" onClick={handleEditModalCancel}>\n            {t(\"common.cancel\")}\n          </Button>\n        ]}\n        width={700}\n        maskClosable={false}\n      >\n        <Spin spinning={isLoadingDetail}>\n          <Form form={form} layout=\"vertical\">\n            <Form.Item\n              name=\"display_name\"\n              label={t(\"agent.displayName\")}\n            >\n              <Input\n                placeholder={t(\"agent.displayName\")}\n                readOnly\n              />\n            </Form.Item>\n\n            <Form.Item\n              noStyle\n              shouldUpdate\n            >\n              {() => (\n                <Form.Item\n                  name=\"description\"\n                  label={t(\"agent.description\")}\n                >\n                  <div style={{ position: \"relative\" }}>\n                    <TextArea\n                      value={form.getFieldValue(\"description\")}\n                      placeholder={t(\"agent.description\")}\n                      autoSize={{ minRows: 4, maxRows: 6 }}\n                      style={{ resize: \"none\", paddingRight: 32 }}\n                      readOnly\n                    />\n                    <Tooltip title={t(\"common.fullscreen\")}>\n                      <Button\n                        type=\"text\"\n                        icon={<Maximize2 className=\"h-4 w-4\" />}\n                        onClick={() => openFullscreenEdit(\"description\", t(\"agent.description\"))}\n                        style={{\n                          position: \"absolute\",\n                          right: 4,\n                          top: 4,\n                          padding: 4,\n                        }}\n                      />\n                    </Tooltip>\n                  </div>\n                </Form.Item>\n              )}\n            </Form.Item>\n\n            <Form.Item\n              noStyle\n              shouldUpdate\n            >\n              {() => (\n                <Form.Item\n                  name=\"duty_prompt\"\n                  label={t(\"systemPrompt.card.duty.title\")}\n                >\n                  <div style={{ position: \"relative\" }}>\n                    <TextArea\n                      value={form.getFieldValue(\"duty_prompt\")}\n                      placeholder={t(\"systemPrompt.card.duty.title\")}\n                      autoSize={{ minRows: 5, maxRows: 8 }}\n                      style={{ resize: \"none\", paddingRight: 32 }}\n                      readOnly\n                    />\n                    <Tooltip title={t(\"common.fullscreen\")}>\n                      <Button\n                        type=\"text\"\n                        icon={<Maximize2 className=\"h-4 w-4\" />}\n                        onClick={() => openFullscreenEdit(\"duty_prompt\", t(\"systemPrompt.card.duty.title\"))}\n                        style={{\n                          position: \"absolute\",\n                          right: 4,\n                          top: 4,\n                          padding: 4,\n                        }}\n                      />\n                    </Tooltip>\n                  </div>\n                </Form.Item>\n              )}\n            </Form.Item>\n\n            <Form.Item\n              noStyle\n              shouldUpdate\n            >\n              {() => (\n                <Form.Item\n                  name=\"constraint_prompt\"\n                  label={t(\"systemPrompt.card.constraint.title\")}\n                >\n                  <div style={{ position: \"relative\" }}>\n                    <TextArea\n                      value={form.getFieldValue(\"constraint_prompt\")}\n                      placeholder={t(\"systemPrompt.card.constraint.title\")}\n                      autoSize={{ minRows: 5, maxRows: 8 }}\n                      style={{ resize: \"none\", paddingRight: 32 }}\n                      readOnly\n                    />\n                    <Tooltip title={t(\"common.fullscreen\")}>\n                      <Button\n                        type=\"text\"\n                        icon={<Maximize2 className=\"h-4 w-4\" />}\n                        onClick={() => openFullscreenEdit(\"constraint_prompt\", t(\"systemPrompt.card.constraint.title\"))}\n                        style={{\n                          position: \"absolute\",\n                          right: 4,\n                          top: 4,\n                          padding: 4,\n                        }}\n                      />\n                    </Tooltip>\n                  </div>\n                </Form.Item>\n              )}\n            </Form.Item>\n\n            <Form.Item\n              noStyle\n              shouldUpdate\n            >\n              {() => (\n                <Form.Item\n                  name=\"few_shots_prompt\"\n                  label={t(\"systemPrompt.card.fewShots.title\")}\n                >\n                  <div style={{ position: \"relative\" }}>\n                    <TextArea\n                      value={form.getFieldValue(\"few_shots_prompt\")}\n                      placeholder={t(\"systemPrompt.card.fewShots.title\")}\n                      autoSize={{ minRows: 5, maxRows: 8 }}\n                      style={{ resize: \"none\", paddingRight: 32 }}\n                      readOnly\n                    />\n                    <Tooltip title={t(\"common.fullscreen\")}>\n                      <Button\n                        type=\"text\"\n                        icon={<Maximize2 className=\"h-4 w-4\" />}\n                        onClick={() => openFullscreenEdit(\"few_shots_prompt\", t(\"systemPrompt.card.fewShots.title\"))}\n                        style={{\n                          position: \"absolute\",\n                          right: 4,\n                          top: 4,\n                          padding: 4,\n                        }}\n                      />\n                    </Tooltip>\n                  </div>\n                </Form.Item>\n              )}\n            </Form.Item>\n\n            <Form.Item\n              name=\"group_ids\"\n              label={t(\"agent.userGroup\")}\n            >\n              <Select\n                mode=\"multiple\"\n                placeholder={t(\"agent.userGroup\")}\n                options={groups.map((group) => ({\n                  label: group.group_name,\n                  value: group.group_id,\n                }))}\n                open={false}\n                onDropdownVisibleChange={() => false}\n                onClick={(e) => e.preventDefault()}\n                onFocus={(e) => e.target.blur()}\n                tagRender={(props) => {\n                  const { label } = props;\n                  return (\n                    <Tag\n                      style={{\n                        margin: \"2px\",\n                        border: \"1px solid #d9d9d9\",\n                      }}\n                    >\n                      {label}\n                    </Tag>\n                  );\n                }}\n              />\n            </Form.Item>\n          </Form>\n        </Spin>\n      </Modal>\n\n      {/* Fullscreen View Modal */}\n      <ExpandEditModal\n        open={fullscreenEdit.visible}\n        title={fullscreenEdit.title}\n        content={fullscreenEdit.value}\n        onClose={() => setFullscreenEdit({ visible: false, field: null, title: \"\", value: \"\" })}\n        onSave={handleFullscreenSave}\n        readOnly={true}\n      />\n    </div>\n  );\n}\n"
  },
  {
    "path": "frontend/app/[locale]/tenant-resources/components/resources/GroupList.tsx",
    "content": "\"use client\";\n\nimport React, { useMemo, useState, useEffect } from \"react\";\nimport { useTranslation } from \"react-i18next\";\nimport { useQueryClient } from \"@tanstack/react-query\";\nimport {\n  Table,\n  Button,\n  Modal,\n  Form,\n  Input,\n  Popconfirm,\n  message,\n  Select,\n} from \"antd\";\nimport { Edit, Trash2 } from \"lucide-react\";\nimport { Tooltip } from \"@/components/ui/tooltip\";\nimport { ColumnsType } from \"antd/es/table\";\nimport { useGroupList } from \"@/hooks/group/useGroupList\";\nimport { useUserList } from \"@/hooks/user/useUserList\";\nimport {\n  createGroup,\n  updateGroup,\n  deleteGroup,\n  addUserToGroup,\n  removeUserFromGroup,\n  getGroupMembers,\n  updateGroupMembers,\n  type Group,\n  type CreateGroupRequest,\n  type UpdateGroupRequest,\n} from \"@/services/groupService\";\nimport { type User } from \"@/services/userService\";\n\nexport default function GroupList({ tenantId }: { tenantId: string | null }) {\n  const { t } = useTranslation(\"common\");\n  const queryClient = useQueryClient();\n\n  // Pagination state\n  const [page, setPage] = useState(1);\n  const [pageSize, setPageSize] = useState(10);\n\n  const { data, isLoading, refetch } = useGroupList(tenantId, page, pageSize);\n  const { data: userData, refetch: refetchUsers } = useUserList(\n    tenantId\n    // Omit page and pageSize to get all users for member management\n  );\n\n  // Reset page to 1 when tenantId changes\n  useEffect(() => {\n    setPage(1);\n  }, [tenantId]);\n\n  const groups = data?.groups || [];\n  const total = data?.total || 0;\n  const allUsers = userData?.users || [];\n  const [editingGroup, setEditingGroup] = useState<Group | null>(null);\n  const [modalVisible, setModalVisible] = useState(false);\n  const [userListModalVisible, setUserListModalVisible] = useState(false);\n  const [selectedGroupForUsers, setSelectedGroupForUsers] =\n    useState<Group | null>(null);\n  const [groupUsers, setGroupUsers] = useState<User[]>([]);\n  const [availableUsers, setAvailableUsers] = useState<User[]>([]);\n  const [editFormInitialValues, setEditFormInitialValues] = useState<{\n    name: string;\n    description: string;\n    members: string[];\n  } | null>(null);\n\n  const [form] = Form.useForm();\n  const [editGroupForm] = Form.useForm();\n\n  const openCreate = () => {\n    setEditingGroup(null);\n    form.resetFields();\n    setModalVisible(true);\n  };\n\n  const openEdit = async (g: Group) => {\n    try {\n      const members = await getGroupMembers(g.group_id);\n      setGroupUsers(members);\n      const memberIds = new Set(members.map((u) => u.id));\n      setAvailableUsers(allUsers.filter((u) => !memberIds.has(u.id)));\n\n      const formValues = {\n        name: g.group_name || \"\",\n        description: (g.group_description || \"\").toString(),\n        members: members.map((u) => u.id),\n      };\n      setEditFormInitialValues(formValues);\n      setEditingGroup(g);\n      editGroupForm.resetFields();\n      editGroupForm.setFieldsValue(formValues);\n    } catch (error) {\n      message.error(t(\"tenantResources.groups.loadMembersFailed\"));\n      setGroupUsers([]);\n      setAvailableUsers(allUsers);\n      const formValues = {\n        name: g.group_name || \"\",\n        description: (g.group_description || \"\").toString(),\n        members: [],\n      };\n      setEditFormInitialValues(formValues);\n      setEditingGroup(g);\n      editGroupForm.resetFields();\n      editGroupForm.setFieldsValue(formValues);\n    }\n\n    setModalVisible(true);\n  };\n\n  const openUserList = async (g: Group) => {\n    setSelectedGroupForUsers(g);\n    try {\n      const members = await getGroupMembers(g.group_id);\n      setGroupUsers(members);\n    } catch (error) {\n      message.error(t(\"tenantResources.groups.loadUsersFailed\"));\n      setGroupUsers([]);\n    }\n    setUserListModalVisible(true);\n  };\n\n  const handleDelete = async (id: number) => {\n    try {\n      await deleteGroup(id);\n      message.success(t(\"tenantResources.groups.deleted\"));\n      // Invalidate all group queries to ensure all components get updated data\n      queryClient.invalidateQueries({ queryKey: [\"groups\"] });\n    } catch (err: any) {\n      if (err.response?.data?.message) {\n        message.error(err.response.data.message);\n      } else {\n        message.error(t(\"tenantResources.groups.deleteFailed\"));\n      }\n    }\n  };\n\n  const handleSubmit = async () => {\n    try {\n      const values = await form.validateFields();\n      if (!tenantId) throw new Error(t(\"tenantResources.groups.noTenantSelected\"));\n\n      if (editingGroup) {\n        const updateData: UpdateGroupRequest = {\n          group_name: values.name,\n          group_description: values.description,\n        };\n        await updateGroup(editingGroup.group_id, updateData);\n        message.success(t(\"tenantResources.groups.updated\"));\n      } else {\n        const createData: CreateGroupRequest = {\n          group_name: values.name,\n          group_description: values.description,\n        };\n        await createGroup(tenantId, createData);\n        message.success(t(\"tenantResources.groups.created\"));\n      }\n      setModalVisible(false);\n      // Invalidate all group queries to ensure all components get updated data\n      queryClient.invalidateQueries({ queryKey: [\"groups\"] });\n    } catch (err: any) {\n      const errorMessage = err?.response?.data?.message || err?.message || \"\";\n      const nameConflictMatch = errorMessage.match(/Group with name '(.*)' already exists/i) ||\n                                errorMessage.match(/Group name '(.*)' already exists/i);\n\n      if (nameConflictMatch && nameConflictMatch[1]) {\n        message.error(t(\"tenantResources.groups.duplicateName\"));\n      } else if (err.response?.data?.message) {\n        message.error(err.response.data.message);\n      }\n    }\n  };\n\n  const handleEditGroupSubmit = async () => {\n    try {\n      if (!editingGroup) return;\n\n      await editGroupForm.validateFields();\n      const values = editGroupForm.getFieldsValue(true);\n\n      const updateData: UpdateGroupRequest = {\n        group_name: values.name,\n        group_description: values.description,\n      };\n      await updateGroup(editingGroup.group_id, updateData);\n\n      const newMemberIds = (values.members as string[]) || [];\n      await updateGroupMembers(editingGroup.group_id, newMemberIds);\n\n      message.success(t(\"tenantResources.groups.updated\"));\n      setModalVisible(false);\n\n      // Invalidate all group queries to ensure all components get updated data\n      queryClient.invalidateQueries({ queryKey: [\"groups\"] });\n      // Refresh user list in case user roles/status changed\n      await refetchUsers();\n    } catch (err: any) {\n      const errorMessage = err?.response?.data?.message || err?.message || \"\";\n      const nameConflictMatch = errorMessage.match(/Group with name '(.*)' already exists/i) ||\n                                errorMessage.match(/Group name '(.*)' already exists/i);\n\n      if (nameConflictMatch && nameConflictMatch[1]) {\n        message.error(t(\"tenantResources.groups.duplicateName\"));\n      } else if (err.response?.data?.message) {\n        message.error(err.response.data.message);\n      } else {\n        message.error(t(\"tenantResources.groups.updateFailed\"));\n      }\n    }\n  };\n\n  const columns: ColumnsType<Group> = useMemo(\n    () => [\n      { title: t(\"tenantResources.groups.name\"), dataIndex: \"group_name\", key: \"group_name\" },\n      {\n        title: t(\"common.description\"),\n        dataIndex: \"group_description\",\n        key: \"group_description\",\n        render: (description: string) =>\n          description ? description : <span className=\"text-gray-400\">{t(\"tenantResources.groups.noDescription\")}</span>,\n      },\n      {\n        title: t(\"tenantResources.groups.members\"),\n        dataIndex: \"user_count\",\n        key: \"user_count\",\n        render: (count: number, record: Group) => (\n          <Button\n            type=\"link\"\n            size=\"small\"\n            onClick={() => openUserList(record)}\n            style={{ padding: 0 }}\n          >\n            {count || 0}\n          </Button>\n        ),\n      },\n      {\n        title: t(\"common.actions\"),\n        key: \"actions\",\n        render: (_, record) => (\n          <div className=\"flex items-center space-x-2\">\n            <Tooltip title={t(\"tenantResources.groups.editGroup\")}>\n              <Button\n                type=\"text\"\n                icon={<Edit className=\"h-4 w-4\" />}\n                onClick={() => openEdit(record)}\n                size=\"small\"\n              />\n            </Tooltip>\n            <Popconfirm\n              title={t(\"tenantResources.groups.confirmDelete\", {\n                name: record.group_name,\n              })}\n              onConfirm={() => handleDelete(record.group_id)}\n              okText={t(\"common.confirm\")}\n              cancelText={t(\"common.cancel\")}\n            >\n              <Tooltip title={t(\"tenantResources.groups.deleteGroup\")}>\n                <Button\n                  type=\"text\"\n                  danger\n                  icon={<Trash2 className=\"h-4 w-4\" />}\n                  size=\"small\"\n                />\n              </Tooltip>\n            </Popconfirm>\n          </div>\n        ),\n      },\n    ],\n    [t]\n  );\n\n  const handlePageChange = (newPage: number, _pageSize: number) => {\n    setPage(newPage);\n  };\n\n  return (\n    <div className=\"h-full flex flex-col overflow-hidden\">\n      <div className=\"flex items-center justify-between mb-4 flex-shrink-0\">\n        <div />\n        <div>\n          <Button type=\"primary\" onClick={openCreate}>\n            + {t(\"tenantResources.groups.createGroup\")}\n          </Button>\n        </div>\n      </div>\n\n      <Table\n        dataSource={groups}\n        columns={columns}\n        rowKey={(r) => String(r.group_id)}\n        loading={isLoading}\n        pagination={{\n          current: page,\n          pageSize: pageSize,\n          total: total,\n          onChange: handlePageChange,\n        }}\n        scroll={{ x: true }}\n        className=\"flex-1\"\n      />\n\n      {/* Create/Edit Group Modal */}\n      <Modal\n        title={\n          editingGroup\n            ? t(\"tenantResources.groups.editGroup\")\n            : t(\"tenantResources.groups.createGroup\")\n        }\n        open={modalVisible}\n        onOk={editingGroup ? handleEditGroupSubmit : handleSubmit}\n        onCancel={() => {\n          setModalVisible(false);\n          editGroupForm.resetFields();\n        }}\n        destroyOnHidden\n        okText={t(\"common.confirm\")}\n        cancelText={t(\"common.cancel\")}\n        width={editingGroup ? 600 : 400}\n      >\n        {editingGroup ? (\n          <Form\n            key={editingGroup.group_id}\n            layout=\"vertical\"\n            form={editGroupForm}\n          >\n            <Form.Item\n              name=\"name\"\n              label={t(\"tenantResources.tenants.name\")}\n              rules={[{ required: true }]}\n            >\n              <Input placeholder={t(\"tenantResources.tenants.name\")} />\n            </Form.Item>\n            <Form.Item name=\"description\" label={t(\"common.description\")}>\n              <Input.TextArea placeholder={t(\"common.description\")} rows={3} />\n            </Form.Item>\n            <Form.Item name=\"members\" label={t(\"tenantResources.groups.members\")}>\n              <Select\n                mode=\"multiple\"\n                placeholder={t(\"tenantResources.groups.selectUsers\")}\n                options={allUsers.map((user) => ({\n                  label: user.username,\n                  value: user.id,\n                }))}\n                onChange={(value) => {\n                  const selectedUsers = allUsers.filter((u) =>\n                    value.includes(u.id)\n                  );\n                  setGroupUsers(selectedUsers);\n                  const memberIds = new Set(selectedUsers.map((u) => u.id));\n                  setAvailableUsers(\n                    allUsers.filter((u) => !memberIds.has(u.id))\n                  );\n                }}\n              />\n            </Form.Item>\n          </Form>\n        ) : (\n          <Form layout=\"vertical\" form={form}>\n            <Form.Item\n              name=\"name\"\n              label={t(\"tenantResources.groups.name\")}\n              rules={[{ required: true }]}\n            >\n            <Input placeholder={t(\"tenantResources.groups.enterName\")} />\n            </Form.Item>\n            <Form.Item name=\"description\" label={t(\"common.description\")}>\n              <Input.TextArea\n                placeholder={t(\"common.description\")}\n                rows={3}\n              />\n            </Form.Item>\n          </Form>\n        )}\n      </Modal>\n\n      {/* User List Modal */}\n      <Modal\n        title={`${t(\"tenantResources.groups.members\")} - ${selectedGroupForUsers?.group_name}`}\n        open={userListModalVisible}\n        onCancel={() => setUserListModalVisible(false)}\n        footer={null}\n        width={500}\n      >\n        <div>\n          <p style={{ marginBottom: 16 }}>\n            {t(\"tenantResources.groups.totalMembers\")}: {groupUsers.length}\n          </p>\n          {groupUsers.length > 0 ? (\n            <div style={{ maxHeight: 300, overflowY: \"auto\" }}>\n              {groupUsers.map((user) => (\n                <div\n                  key={user.id}\n                  style={{\n                    padding: \"8px 12px\",\n                    border: \"1px solid #d9d9d9\",\n                    borderRadius: 4,\n                    marginBottom: 8,\n                    backgroundColor: \"#fafafa\",\n                  }}\n                >\n                  {user.username}\n                </div>\n              ))}\n            </div>\n          ) : (\n            <p style={{ color: \"#999\", fontStyle: \"italic\" }}>\n              {t(\"tenantResources.groups.noMembers\")}\n            </p>\n          )}\n        </div>\n      </Modal>\n    </div>\n  );\n}\n"
  },
  {
    "path": "frontend/app/[locale]/tenant-resources/components/resources/InvitationList.tsx",
    "content": "\"use client\";\n\nimport React, { useMemo, useState, useEffect } from \"react\";\nimport { useTranslation } from \"react-i18next\";\nimport dayjs from \"dayjs\";\nimport {\n  Table,\n  Button,\n  Modal,\n  Form,\n  Input,\n  Select,\n  Popconfirm,\n  message,\n  Tag,\n  Pagination,\n  Collapse,\n  DatePicker,\n  Progress,\n} from \"antd\";\nimport { ColumnsType } from \"antd/es/table\";\nimport { useInvitationList } from \"@/hooks/invitation/useInvitationList\";\nimport { useGroupList } from \"@/hooks/group/useGroupList\";\nimport { getTenantDefaultGroupId } from \"@/services/groupService\";\nimport {\n  createInvitation,\n  updateInvitation,\n  deleteInvitation,\n  checkInvitationCodeExists,\n  type Invitation,\n  type CreateInvitationRequest,\n  type UpdateInvitationRequest,\n} from \"@/services/invitationService\";\nimport { Plus, Edit, Trash2, CheckCircle, Clock, XCircle, Copy, CircleSlash } from \"lucide-react\";\nimport { Tooltip } from \"@/components/ui/tooltip\";\nimport { formatDate } from \"@/lib/date\";\nimport { useAuthorizationContext } from \"@/components/providers/AuthorizationProvider\";\nimport { USER_ROLES } from \"@/const/auth\";\n\nconst { Panel } = Collapse;\n\nexport default function InvitationList({ tenantId, refreshKey }: { tenantId: string | null; refreshKey?: number }) {\n  const { t } = useTranslation(\"common\");\n  const { user } = useAuthorizationContext();\n  const userRole = user?.role;\n  const isAdminRole = userRole === USER_ROLES.ADMIN;\n\n  const [currentPage, setCurrentPage] = useState(1);\n  const [pageSize, setPageSize] = useState(10);\n  const [editingInvitation, setEditingInvitation] = useState<Invitation | null>(null);\n  const [modalVisible, setModalVisible] = useState(false);\n\n  const [form] = Form.useForm();\n\n  // Fetch invitations\n  const { data, isLoading, refetch } = useInvitationList({\n    tenant_id: tenantId || undefined,\n    page: currentPage,\n    page_size: pageSize,\n    sort_by: \"update_time\",\n    sort_order: \"desc\",\n  });\n\n  // Trigger refetch when refreshKey changes\n  useEffect(() => {\n    if (refreshKey && refreshKey > 0 && tenantId) {\n      refetch();\n    }\n  }, [refreshKey, tenantId, refetch]);\n\n  // Fetch groups for group selection\n  const { data: groupData } = useGroupList(tenantId); // Get all groups for selection\n  const groups = groupData?.groups || [];\n\n  const invitations = data?.items || [];\n\n  const openCreate = async () => {\n    setEditingInvitation(null);\n    form.resetFields();\n\n    // Get default group for the tenant\n    let defaultGroupIds: number[] = [];\n    if (tenantId) {\n      try {\n        const defaultGroupId = await getTenantDefaultGroupId(tenantId);\n        if (defaultGroupId) {\n          defaultGroupIds = [defaultGroupId];\n        }\n      } catch (error) {\n        console.warn(\"Failed to get default group:\", error);\n        // Show user-friendly message\n        message.warning(t(\"tenantResources.invitation.loadDefaultGroupFailed\"));\n      }\n    } else {\n      console.log(\"No tenantId available for getting default group\");\n    }\n    form.setFieldsValue({\n      code_type: \"USER_INVITE\",\n      capacity: 1,\n      group_ids: defaultGroupIds,\n    });\n    setModalVisible(true);\n  };\n\n  const openEdit = (invitation: Invitation) => {\n    setEditingInvitation(invitation);\n    form.setFieldsValue({\n      code_type: invitation.code_type,\n      capacity: invitation.capacity,\n      invitation_code: invitation.invitation_code,\n      group_ids: invitation.group_ids || [],\n      expiry_date: invitation.expiry_date ? dayjs(invitation.expiry_date) : undefined,\n    });\n    setModalVisible(true);\n  };\n\n  const handleDelete = async (invitationCode: string) => {\n    try {\n      await deleteInvitation(invitationCode);\n      message.success(t(\"tenantResources.invitation.invitationDeleted\"));\n      refetch();\n    } catch (error: any) {\n      // Check if it's an authentication error\n      if (error.code === 401 || error.code === 499 || error.message?.includes(\"Login expired\")) {\n        // Let the global session expired handler deal with it\n        throw error;\n      } else {\n        // For other errors, show specific error message\n        const errorMessage = error.response?.data?.message || error.message || \"Failed to delete invitation\";\n        message.error(errorMessage);\n      }\n    }\n  };\n\n  const handleSubmit = async () => {\n    try {\n      const values = await form.validateFields();\n\n      if (!tenantId) {\n        message.error(t(\"common.noTenantSelected\"));\n        return;\n      }\n\n      // Format expiry_date from dayjs to string\n      const formattedExpiryDate =\n        values.expiry_date && dayjs(values.expiry_date).isValid()\n          ? dayjs(values.expiry_date).format(\"YYYY-MM-DD\")\n          : undefined;\n\n      if (editingInvitation) {\n        // Update invitation\n        const updateData: UpdateInvitationRequest = {\n          capacity: values.capacity,\n          expiry_date: formattedExpiryDate,\n          group_ids: values.group_ids || [],\n        };\n        await updateInvitation(editingInvitation.invitation_code, updateData);\n        message.success(t(\"tenantResources.invitation.invitationUpdated\"));\n      } else {\n        // Create invitation\n        const createData: CreateInvitationRequest = {\n          tenant_id: tenantId,\n          code_type: values.code_type,\n          invitation_code: values.invitation_code?.toUpperCase(),\n          capacity: values.capacity,\n          group_ids: values.group_ids || [],\n          expiry_date: formattedExpiryDate,\n        };\n        await createInvitation(createData);\n        message.success(t(\"tenantResources.invitation.invitationCreated\"));\n      }\n      setModalVisible(false);\n      refetch();\n    } catch (error: any) {\n      // Check if it's an authentication error\n      if (error.code === 401 || error.code === 499 || error.message?.includes(\"Login expired\")) {\n        // Let the global session expired handler deal with it\n        throw error;\n      } else {\n        // For other errors, show specific error message\n        const errorMessage = error.response?.data?.message || error.message || \"Operation failed\";\n        message.error(errorMessage);\n      }\n    }\n  };\n\n  // Create group name mapping\n  const groupNameMap = useMemo(() => {\n    const map = new Map<number, string>();\n    groups.forEach((group) => {\n      map.set(group.group_id, group.group_name);\n    });\n    return map;\n  }, [groups]);\n\n  // Get group names for invitation\n  const getGroupNames = (groupIds?: number[]) => {\n    if (!groupIds || groupIds.length === 0) return [];\n    return groupIds.map((id) => groupNameMap.get(id) || `Group ${id}`).filter(Boolean);\n  };\n\n  const columns: ColumnsType<Invitation> = useMemo(\n    () => [\n      {\n        title: t(\"tenantResources.invitation.invitationCode\"),\n        dataIndex: \"invitation_code\",\n        key: \"invitation_code\",\n        width: 80,\n        render: (code: string) => (\n          <div className=\"flex items-center justify-between gap-2\">\n            <span className=\"font-mono font-medium\">{code}</span>\n            <Tooltip title={t(\"common.copy\")}>\n              <Button\n                type=\"text\"\n                icon={<Copy className=\"h-4 w-4\" />}\n                onClick={() => {\n                  navigator.clipboard.writeText(code);\n                  message.success(t(\"common.copied\"));\n                }}\n                aria-label={t(\"common.copy\")}\n              />\n            </Tooltip>\n          </div>\n        ),\n      },\n      {\n        title: t(\"tenantResources.invitation.codeType\"),\n        dataIndex: \"code_type\",\n        key: \"code_type\",\n        width: 80,\n        render: (type: string) => {\n          return <Tag color=\"default\">{t(`tenantResources.invitation.codeType.${type}`)}</Tag>;\n        },\n      },\n      {\n        title: t(\"tenantResources.invitation.usage\"),\n        key: \"usage\",\n        width: 80,\n        render: (_, record: Invitation) => {\n          const { capacity, used_times } = record;\n          const remaining = capacity - used_times;\n          const percent = Math.round((remaining / capacity) * 100);\n          return (\n            <div className=\"flex ml-5\">\n              <Progress\n                type=\"dashboard\"\n                percent={percent}\n                gapDegree={100}\n                format={() => t(\"tenantResources.invitation.remaining\", { remaining })}\n                size={20}\n                strokeColor={remaining > 0 ? \"#52c41a\" : \"#ff4d4f\"}\n              />\n            </div>\n          );\n        },\n      },\n      {\n        title: t(\"tenantResources.invitation.expiryDate\"),\n        dataIndex: \"expiry_date\",\n        key: \"expiry_date\",\n        width: 120,\n        render: (date: string) =>\n          date ? formatDate(date) : <span className=\"text-gray-400\">{t(\"tenantResources.invitation.noExpiry\")}</span>,\n      },\n      {\n        title: t(\"tenantResources.invitation.groupNames\"),\n        dataIndex: \"group_ids\",\n        key: \"group_names\",\n        width: 300,\n        render: (groupIds: number[]) => {\n          const names = getGroupNames(groupIds);\n          return (\n            <div className=\"flex flex-wrap gap-1\">\n              {names.length > 0 ? (\n                names.map((name, index) => (\n                  <Tag\n                    key={index}\n                    color=\"blue\"\n                    variant=\"outlined\"\n                  >\n                    {name}\n                  </Tag>\n                ))\n              ) : (\n                <span className=\"text-gray-400\">{t(\"tenantResources.invitation.noGroups\")}</span>\n              )}\n            </div>\n          );\n        },\n      },\n      {\n        title: t(\"tenantResources.invitation.status\"),\n        dataIndex: \"status\",\n        key: \"status\",\n        width: 120,\n        render: (status: string) => {\n          const color =\n            status === \"IN_USE\" ? \"#229954\" :\n            status === \"EXPIRE\" ? \"#AEB6BF\" :\n            status === \"RUN_OUT\" ? \"#E74C3C\" : \"#2E4053\";\n\n          const icon = status === \"IN_USE\" ? <CheckCircle className=\"w-3 h-3 mr-1\" /> :\n                      status === \"EXPIRE\" ? <Clock className=\"w-3 h-3 mr-1\" /> :\n                      status === \"RUN_OUT\" ? <CircleSlash className=\"w-3.5 h-3 mr-1\" /> :\n                      <XCircle className=\"w-3 h-3 mr-1\" />;\n\n          return (\n            <Tag\n              color={color}\n              className=\"inline-flex items-center\"\n              variant=\"solid\"\n            >\n              {icon}\n              {t(`tenantResources.invitation.status.${status}`)}\n            </Tag>\n          );\n        },\n      },\n      {\n        title: t(\"tenantResources.invitation.actions\"),\n        key: \"actions\",\n        width: 200,\n        fixed: \"right\",\n        render: (_, record: Invitation) => (\n          <div className=\"flex items-center space-x-2\">\n            <Tooltip title={t(\"tenantResources.invitation.editInvitation\")}>\n              <Button\n                type=\"text\"\n                icon={<Edit className=\"h-4 w-4\" />}\n                onClick={() => openEdit(record)}\n                size=\"small\"\n              />\n            </Tooltip>\n            <Popconfirm\n              title={t(\"tenantResources.invitation.confirmDeleteInvitation\", { code: record.invitation_code })}\n              description={t(\"common.cannotBeUndone\")}\n              onConfirm={() => handleDelete(record.invitation_code)}\n              okText={t(\"common.confirm\")}\n              cancelText={t(\"common.cancel\")}\n            >\n              <Tooltip title={t(\"tenantResources.invitation.deleteInvitation\")}>\n                <Button\n                  type=\"text\"\n                  danger\n                  icon={<Trash2 className=\"h-4 w-4\" />}\n                  size=\"small\"\n                />\n              </Tooltip>\n            </Popconfirm>\n          </div>\n        ),\n      },\n    ],\n    [groupNameMap]\n  );\n\n  // Group invitations by tenant for collapse view\n  const groupedInvitations = useMemo(() => {\n    if (tenantId) return null; // Don't group when tenant is selected\n\n    const groups: Record<string, Invitation[]> = {};\n    invitations.forEach((invitation) => {\n      const tenantId = invitation.tenant_id || \"unknown\";\n      if (!groups[tenantId]) {\n        groups[tenantId] = [];\n      }\n      groups[tenantId].push(invitation);\n    });\n    return groups;\n  }, [invitations, tenantId]);\n\n  return (\n    <div className=\"h-full flex flex-col overflow-hidden\">\n      <div className=\"mb-4 flex justify-between items-center flex-shrink-0\">\n        <div />\n        <div>\n          <Button type=\"primary\" onClick={openCreate} icon={<Plus className=\"h-4 w-4\"/>}>\n            {t(\"tenantResources.invitation.createInvitation\")}\n          </Button>\n        </div>\n      </div>\n\n      {tenantId ? (\n        // Single tenant view with pagination\n        <Table\n          columns={columns}\n          dataSource={invitations}\n          loading={isLoading}\n          rowKey=\"invitation_id\"\n          pagination={{ pageSize: 10 }}\n          scroll={{ x: 1000 }}\n          className=\"flex-1\"\n        />\n      ) : (\n        // Multi-tenant view with collapse\n        <Collapse>\n          {Object.entries(groupedInvitations || {}).map(([tenantId, tenantInvitations]) => (\n            <Panel header={`Tenant: ${tenantId}`} key={tenantId}>\n              <Table\n                columns={columns}\n                dataSource={tenantInvitations}\n                loading={isLoading}\n                rowKey=\"invitation_id\"\n                pagination={{ pageSize: 10 }}\n                size=\"small\"\n                scroll={{ x: 1000 }}\n              />\n            </Panel>\n          ))}\n        </Collapse>\n      )}\n\n      {/* Create/Edit Modal */}\n      <Modal\n        title={\n          <span>\n            {editingInvitation\n              ? `${t(\"tenantResources.invitation.editInvitation\")}: ${editingInvitation.invitation_code}`\n              : t(\"tenantResources.invitation.createInvitation\")}\n          </span>\n        }\n        open={modalVisible}\n        onOk={handleSubmit}\n        onCancel={() => setModalVisible(false)}\n        okText={t(\"common.confirm\")}\n        cancelText={t(\"common.cancel\")}\n        width={600}\n        maskClosable={false}\n      >\n        <Form form={form} layout=\"vertical\">\n          {!editingInvitation && (\n            <Form.Item\n              name=\"code_type\"\n              label={t(\"tenantResources.invitation.codeType\")}\n              rules={[{ required: true, message: t(\"tenantResources.invitation.codeTypeRequired\") }]}\n            >\n              <Select\n                placeholder={t(\"tenantResources.invitation.codeType\")}\n                options={[\n                  ...(isAdminRole ? [] : [{ value: \"ADMIN_INVITE\", label: t(\"tenantResources.invitation.codeType.ADMIN_INVITE\") }]),\n                  { value: \"DEV_INVITE\", label: t(\"tenantResources.invitation.codeType.DEV_INVITE\") },\n                  { value: \"USER_INVITE\", label: t(\"tenantResources.invitation.codeType.USER_INVITE\") },\n                ]}\n              />\n            </Form.Item>\n          )}\n\n          {!editingInvitation && (\n            <Form.Item\n              name=\"invitation_code\"\n              label={t(\"tenantResources.invitation.invitationCode\")}\n              rules={[\n                {\n                  pattern: /^[A-Z0-9]*$/,\n                  message: t(\"tenantResources.invitation.invitationCodeInvalid\")\n                },\n                {\n                  validator: async (_, value) => {\n                    if (!value) {\n                      return Promise.resolve();\n                    }\n                    try {\n                      const exists = await checkInvitationCodeExists(value);\n                      if (exists) {\n                        return Promise.reject(new Error(t(\"tenantResources.invitation.alreadyExists\")));\n                      }\n                      return Promise.resolve();\n                    } catch {\n                      return Promise.reject(new Error(\"Failed to check invitation code\"));\n                    }\n                  },\n                }\n              ]}\n            >\n              <Input\n                placeholder={t(\"tenantResources.invitation.invitationCodePlaceholder\")}\n                onChange={(e) => {\n                  const value = e.target.value.toUpperCase().replace(/[^A-Z0-9]/g, \"\");\n                  form.setFieldsValue({ invitation_code: value });\n                }}\n              />\n            </Form.Item>\n          )}\n\n          <Form.Item\n            name=\"capacity\"\n            label={t(\"tenantResources.invitation.capacity\")}\n            rules={[\n              { required: true, message: t(\"tenantResources.invitation.capacityRequired\") },\n              {\n                validator: (_, value) => {\n                  if (!value) return Promise.resolve();\n                  const numValue = Number(value);\n                  if (isNaN(numValue) || numValue < 1) {\n                    return Promise.reject(new Error(t(\"tenantResources.invitation.capacityMin\")));\n                  }\n                  return Promise.resolve();\n                }\n              }\n            ]}\n          >\n            <Input type=\"number\" placeholder={t(\"tenantResources.invitation.capacity\")} min={1} />\n          </Form.Item>\n\n          <Form.Item name=\"group_ids\" label={t(\"tenantResources.invitation.groupNames\")}>\n            <Select\n              mode=\"multiple\"\n              placeholder={t(\"tenantResources.invitation.groupNames\")}\n              options={groups.map((group) => ({\n                label: group.group_name,\n                value: group.group_id,\n              }))}\n            />\n          </Form.Item>\n\n          <Form.Item name=\"expiry_date\" label={t(\"tenantResources.invitation.expiryDate\")}>\n            <DatePicker\n              format=\"YYYY-MM-DD\"\n              placeholder={t(\"tenantResources.invitation.expiryDatePlaceholder\")}\n              style={{ width: \"100%\" }}\n              disabledDate={(current) => {\n                if (!current) return false;\n                return current < dayjs().startOf('day');\n              }}\n            />\n          </Form.Item>\n        </Form>\n      </Modal>\n    </div>\n  );\n}\n"
  },
  {
    "path": "frontend/app/[locale]/tenant-resources/components/resources/KnowledgeList.tsx",
    "content": "\"use client\";\n\nimport React, { useMemo, useState } from \"react\";\nimport { useTranslation } from \"react-i18next\";\nimport { Table, Popconfirm, message, Button, Modal, Tag } from \"antd\";\nimport { ColumnsType } from \"antd/es/table\";\nimport { Edit, Trash2, BookOpen } from \"lucide-react\";\nimport { Tooltip } from \"@/components/ui/tooltip\";\nimport { MarkdownRenderer } from \"@/components/ui/markdownRenderer\";\nimport { useKnowledgeList } from \"@/hooks/knowledge/useKnowledgeList\";\nimport { useGroupList } from \"@/hooks/group/useGroupList\";\nimport knowledgeBaseService from \"@/services/knowledgeBaseService\";\nimport { type KnowledgeBase } from \"@/types/knowledgeBase\";\nimport { KnowledgeBaseEditModal } from \"../../../knowledges/components/knowledge/KnowledgeBaseEditModal\";\n\nexport default function KnowledgeList({\n  tenantId,\n}: {\n  tenantId: string | null;\n}) {\n  const { t } = useTranslation(\"common\");\n  const { data, isLoading, refetch } = useKnowledgeList(tenantId);\n  const knowledgeBases = data || [];\n\n  // Fetch groups for group selection\n  const { data: groupData } = useGroupList(tenantId);\n  const groups = groupData?.groups || [];\n\n  const [editingKnowledge, setEditingKnowledge] = useState<KnowledgeBase | null>(null);\n  const [modalVisible, setModalVisible] = useState(false);\n  const [summaryModalVisible, setSummaryModalVisible] = useState(false);\n  const [summaryLoading, setSummaryLoading] = useState(false);\n  const [summaryContent, setSummaryContent] = useState<string>(\"\");\n\n  // Create group name mapping\n  const groupNameMap = useMemo(() => {\n    const map = new Map<number, string>();\n    groups.forEach((group) => {\n      map.set(group.group_id, group.group_name);\n    });\n    return map;\n  }, [groups]);\n\n  // Get group names for knowledge base\n  const getGroupNames = (groupIds?: number[]) => {\n    if (!groupIds || groupIds.length === 0) return [];\n    return groupIds.map((id) => groupNameMap.get(id) || `Group ${id}`).filter(Boolean);\n  };\n\n  const handleDelete = async (knowledgeId: string) => {\n    try {\n      await knowledgeBaseService.deleteKnowledgeBase(knowledgeId);\n      message.success(t(\"tenantResources.knowledgeBase.deleted\"));\n      refetch();\n    } catch (error: any) {\n      message.error(error.message || t(\"tenantResources.knowledgeBase.deleteFailed\"));\n    }\n  };\n\n  const openEdit = (knowledge: KnowledgeBase) => {\n    setEditingKnowledge(knowledge);\n    setModalVisible(true);\n  };\n\n  const openEditSummary = async (knowledge: KnowledgeBase) => {\n    setEditingKnowledge(knowledge);\n    setSummaryLoading(true);\n    setSummaryContent(\"\");\n    try {\n      const summary = await knowledgeBaseService.getSummary(knowledge.id);\n      setSummaryContent(summary || \"\");\n      setSummaryModalVisible(true);\n    } catch (error: any) {\n      message.error(error.message || t(\"tenantResources.knowledgeBase.getSummaryFailed\"));\n    } finally {\n      setSummaryLoading(false);\n    }\n  };\n\n  const handleSummarySubmit = async () => {\n    setSummaryModalVisible(false);\n    setSummaryContent(\"\");\n  };\n\n  const formatDateTime = (date: string | null | undefined) => {\n    if (!date) return t(\"common.unknown\");\n    const d = new Date(date);\n    const year = d.getFullYear();\n    const month = String(d.getMonth() + 1).padStart(2, \"0\");\n    const day = String(d.getDate()).padStart(2, \"0\");\n    const hours = String(d.getHours()).padStart(2, \"0\");\n    const minutes = String(d.getMinutes()).padStart(2, \"0\");\n    const seconds = String(d.getSeconds()).padStart(2, \"0\");\n    return `${year}/${month}/${day} ${hours}:${minutes}:${seconds}`;\n  };\n\n  const formatStoreSize = (size: string | null | undefined) => {\n    if (!size) return \"-\";\n    return size;\n  };\n\n  // Check if knowledge base is from external source (not Nexent)\n  const isExternalSource = (record: KnowledgeBase) => {\n    const source = record.source || record.knowledge_sources;\n    return source && source !== \"nexent\" && source !== \"elasticsearch\";\n  };\n\n  const columns: ColumnsType<KnowledgeBase> = [\n    {\n      title: t(\"common.name\"),\n      dataIndex: \"name\",\n      key: \"name\",\n      width: 150,\n      render: (text: string) => (\n        <Tooltip title={text}>\n          <div className=\"font-medium truncate max-w-[140px]\">{text}</div>\n        </Tooltip>\n      ),\n    },\n    {\n      title: t(\"tenantResources.knowledgeBase.sources\"),\n      dataIndex: \"knowledge_sources\",\n      key: \"knowledge_sources\",\n      width: 80,\n      render: (source: string) => (\n        <Tag color=\"default\">{source || t(\"common.unknown\")}</Tag>\n      ),\n    },\n    {\n      title: t(\"tenantResources.knowledgeBase.permission\"),\n      dataIndex: \"ingroup_permission\",\n      key: \"ingroup_permission\",\n      width: 100,\n      render: (permission: string) => {\n        const color = permission === \"EDIT\" ? \"geekblue\"\n                 : permission === \"PRIVATE\" ? \"magenta\"\n                 : permission === \"READ_ONLY\" ? \"cyan\" : \"default\";\n        return (\n          <Tag color={color}>\n            {t(`tenantResources.knowledgeBase.permission.${permission || \"DEFAULT\"}`)}\n          </Tag>\n        );\n      },\n    },\n    {\n      title: t(\"tenantResources.knowledgeBase.documents\"),\n      dataIndex: \"documentCount\",\n      key: \"documentCount\",\n      width: 60,\n      render: (count: number) => count || 0,\n    },\n    {\n      title: t(\"tenantResources.knowledgeBase.chunks\"),\n      dataIndex: \"chunkCount\",\n      key: \"chunkCount\",\n      width: 60,\n      render: (count: number) => count || 0,\n    },\n    {\n      title: t(\"tenantResources.knowledgeBase.storeSize\"),\n      dataIndex: \"store_size\",\n      key: \"store_size\",\n      width: 80,\n      render: (size: string) => formatStoreSize(size),\n    },\n    {\n      title: t(\"tenantResources.knowledgeBase.processSource\"),\n      dataIndex: \"process_source\",\n      key: \"process_source\",\n      width: 80,\n      render: (source: string) => (\n        <Tag color=\"default\">{source || t(\"common.unknown\")}</Tag>\n      ),\n    },\n    {\n      title: t(\"tenantResources.knowledgeBase.groupNames\"),\n      dataIndex: \"group_ids\",\n      key: \"group_names\",\n      width: 200,\n      render: (groupIds: number[]) => {\n        const names = getGroupNames(groupIds);\n        return (\n          <div className=\"flex flex-wrap gap-1\">\n            {names.length > 0 ? (\n              names.map((name, index) => (\n                <Tag key={index} color=\"blue\" variant=\"outlined\">\n                  {name}\n                </Tag>\n              ))\n            ) : (\n              <span className=\"text-gray-400\">{t(\"tenantResources.knowledgeBase.noGroups\")}</span>\n            )}\n          </div>\n        );\n      },\n    },\n    {\n      title: t(\"common.updated\"),\n      dataIndex: \"updatedAt\",\n      key: \"updatedAt\",\n      width: 120,\n      render: (date: string) => formatDateTime(date),\n    },\n    {\n      title: t(\"common.actions\"),\n      key: \"actions\",\n      width: 140,\n      fixed: \"right\",\n      render: (_, record: KnowledgeBase) => {\n        if (isExternalSource(record)) {\n          return (\n            <span className=\"text-gray-400 text-sm\">\n              {t(\"tenantResources.knowledgeBase.externalSourceDisabled\")}\n            </span>\n          );\n        }\n        return (\n          <div className=\"flex items-center space-x-2\">\n            <Tooltip title={t(\"common.edit\")}>\n              <Button\n                type=\"text\"\n                icon={<Edit className=\"h-4 w-4\" />}\n                onClick={() => openEdit(record)}\n                size=\"small\"\n              />\n            </Tooltip>\n            <Tooltip title={t(\"tenantResources.knowledgeBase.viewSummary\")}>\n              <Button\n                type=\"text\"\n                icon={<BookOpen className=\"h-4 w-4\" />}\n                onClick={() => openEditSummary(record)}\n                size=\"small\"\n              />\n            </Tooltip>\n            <Popconfirm\n              title={t(\"knowledgeBase.modal.deleteConfirm.title\")}\n              description={t(\"common.cannotBeUndone\")}\n              onConfirm={() => handleDelete(record.id)}\n              okText={t(\"common.confirm\")}\n              cancelText={t(\"common.cancel\")}\n            >\n              <Tooltip title={t(\"common.delete\")}>\n                <Button\n                  type=\"text\"\n                  danger\n                  icon={<Trash2 className=\"h-4 w-4\" />}\n                  size=\"small\"\n                />\n              </Tooltip>\n            </Popconfirm>\n          </div>\n        );\n      },\n    },\n  ];\n\n  return (\n    <div className=\"h-full flex flex-col overflow-hidden\">\n      <Table\n        columns={columns}\n        dataSource={knowledgeBases}\n        loading={isLoading}\n        rowKey=\"id\"\n        pagination={{ pageSize: 10 }}\n        scroll={{ x: 1400 }}\n        className=\"flex-1\"\n      />\n\n      {/* Edit Knowledge Base Modal */}\n      <KnowledgeBaseEditModal\n        open={modalVisible}\n        knowledgeBase={editingKnowledge}\n        tenantId={tenantId}\n        onCancel={() => setModalVisible(false)}\n        onSuccess={() => refetch()}\n      />\n\n      <Modal\n        title={t(\"tenantResources.knowledgeBase.viewSummary\")}\n        open={summaryModalVisible}\n        onCancel={() => setSummaryModalVisible(false)}\n        footer={[\n          <Button key=\"confirm\" type=\"primary\" onClick={() => setSummaryModalVisible(false)}>\n            {t(\"common.confirm\")}\n          </Button>,\n        ]}\n        width={600}\n        confirmLoading={summaryLoading}\n      >\n        {summaryLoading ? (\n          <div className=\"text-gray-400\">{t(\"common.loading\")}</div>\n        ) : summaryContent ? (\n          <MarkdownRenderer content={summaryContent} />\n        ) : (\n          <div className=\"text-gray-400 italic\">{t(\"tenantResources.knowledgeBase.noSummary\")}</div>\n        )}\n      </Modal>\n    </div>\n  );\n}\n"
  },
  {
    "path": "frontend/app/[locale]/tenant-resources/components/resources/McpList.tsx",
    "content": "\"use client\";\n\nimport { useState, useEffect } from \"react\";\nimport { useTranslation } from \"react-i18next\";\nimport {\n  Modal,\n  Button,\n  Input,\n  InputNumber,\n  Table,\n  Space,\n  Typography,\n  Card,\n  Tooltip,\n  App,\n  Upload,\n  Tabs,\n  Popconfirm,\n  Tag,\n} from \"antd\";\nimport {\n  Trash2,\n  Eye,\n  Plus,\n  LoaderCircle,\n  RefreshCw,\n  FileText,\n  Container,\n  Upload as UploadIcon,\n  Unplug,\n  Edit,\n  CheckCircle,\n  CircleX,\n  AlertCircle,\n} from \"lucide-react\";\nimport { UploadFile } from \"antd/es/upload/interface\";\n\nimport { McpServer, McpTool, McpContainer } from \"@/types/agentConfig\";\nimport { useMcpConfig } from \"@/hooks/useMcpConfig\";\nimport McpToolListModal from \"@/components/mcp/McpToolListModal\";\nimport McpEditServerModal from \"@/components/mcp/McpEditServerModal\";\nimport McpContainerLogsModal from \"@/components/mcp/McpContainerLogsModal\";\n\nconst { Text, Title } = Typography;\n\nexport default function McpList({ tenantId }: { tenantId: string | null }) {\n  const { t } = useTranslation(\"common\");\n  const { message } = App.useApp();\n\n  // Use shared hook for MCP config logic\n  const {\n    serverList,\n    loading,\n    containerList,\n    enableUploadImage,\n    updatingTools,\n    healthCheckLoading,\n    loadServerList,\n    loadContainerList,\n    handleAddServer,\n    handleDeleteServer,\n    handleViewTools,\n    handleCheckHealth,\n    handleUpdateServer,\n    handleAddContainer,\n    handleUploadImage,\n    handleDeleteContainer,\n    handleViewLogs,\n    handleGetMcpRecord,\n  } = useMcpConfig({ enabled: true, tenantId });\n\n  // Add Modal State\n  const [addModalVisible, setAddModalVisible] = useState(false);\n  const [addingServer, setAddingServer] = useState(false);\n  const [newServerName, setNewServerName] = useState(\"\");\n  const [newServerUrl, setNewServerUrl] = useState(\"\");\n  const [newServerAuthorizationToken, setNewServerAuthorizationToken] = useState(\"\");\n\n  // Tools Modal State\n  const [toolsModalVisible, setToolsModalVisible] = useState(false);\n  const [currentServerTools, setCurrentServerTools] = useState<McpTool[]>([]);\n  const [currentServerName, setCurrentServerName] = useState(\"\");\n  const [loadingTools, setLoadingTools] = useState(false);\n\n  // Edit Server State\n  const [editServerModalVisible, setEditServerModalVisible] = useState(false);\n  const [editingServer, setEditingServer] = useState<McpServer | null>(null);\n  const [updatingServer, setUpdatingServer] = useState(false);\n  const [loadingMcpRecord, setLoadingMcpRecord] = useState(false);\n\n  // Container Add/Logs State\n  const [addingContainer, setAddingContainer] = useState(false);\n  const [containerConfigJson, setContainerConfigJson] = useState(\"\");\n  const [containerPort, setContainerPort] = useState<number | undefined>(undefined);\n  const [logsModalVisible, setLogsModalVisible] = useState(false);\n  const [currentContainerId, setCurrentContainerId] = useState(\"\");\n\n  // Upload State\n  const [uploadingImage, setUploadingImage] = useState(false);\n  const [uploadFileList, setUploadFileList] = useState<UploadFile[]>([]);\n  const [uploadPort, setUploadPort] = useState<number | undefined>(undefined);\n  const [uploadServiceName, setUploadServiceName] = useState(\"\");\n  const [uploadAuthorizationToken, setUploadAuthorizationToken] = useState(\"\");\n\n  const actionsLocked = updatingTools || addingContainer || uploadingImage;\n\n  // Data loading is handled by React Query (enabled: true)\n\n  // Handlers (Add Server)\n  const onAddServer = async () => {\n    if (!newServerName.trim() || !newServerUrl.trim()) {\n      message.error(t(\"mcpConfig.message.completeServerInfo\"));\n      return;\n    }\n    const serverName = newServerName.trim();\n    if (!/^[a-zA-Z0-9_-]+$/.test(serverName)) {\n      message.error(t(\"mcpConfig.message.invalidServerName\"));\n      return;\n    }\n    if (serverName.length > 20) {\n      message.error(t(\"mcpConfig.message.serverNameTooLong\"));\n      return;\n    }\n    if (serverList.some(s => s.service_name === serverName || s.mcp_url === newServerUrl.trim())) {\n      message.error(t(\"mcpConfig.message.serverExists\"));\n      return;\n    }\n\n    setAddingServer(true);\n    const result = await handleAddServer(\n      newServerUrl.trim(),\n      serverName,\n      newServerAuthorizationToken.trim() || null\n    );\n    if (result.success) {\n      setNewServerName(\"\");\n      setNewServerUrl(\"\");\n      setNewServerAuthorizationToken(\"\");\n      setAddModalVisible(false);\n      message.success(result.messageKey ? t(result.messageKey) : t(\"mcpService.message.addServerSuccess\"));\n    } else {\n      message.error(result.messageKey ? t(result.messageKey) : (result.message || t(\"mcpConfig.message.addServerFailed\")));\n    }\n    setAddingServer(false);\n  };\n\n  // Handlers (Delete Server)\n  const onDeleteServer = async (server: McpServer) => {\n    const result = await handleDeleteServer(server);\n    if (!result.success) {\n      message.error(result.messageKey ? t(result.messageKey) : (result.message || t(\"mcpConfig.message.deleteServerFailed\")));\n    } else {\n      message.success(result.messageKey ? t(result.messageKey) : t(\"mcpService.message.deleteServerSuccess\"));\n    }\n  };\n\n  // Handlers (View Tools)\n  const onViewTools = async (server: McpServer) => {\n    setCurrentServerName(server.service_name);\n    setLoadingTools(true);\n    setToolsModalVisible(true);\n\n    const result = await handleViewTools(server);\n    if (result.success) {\n      setCurrentServerTools(result.data);\n    } else {\n      message.error(result.messageKey ? t(result.messageKey) : (result.message || t(\"mcpConfig.message.getToolsFailed\")));\n      setCurrentServerTools([]);\n    }\n    setLoadingTools(false);\n  };\n\n  // Handlers (Health Check)\n  const onCheckHealth = async (server: McpServer) => {\n    const key = \"healthCheck\";\n    message.info({\n      content: t(\"mcpConfig.message.healthChecking\", {\n        name: server.service_name,\n      }),\n      key,\n    });\n\n    try {\n      const result = await handleCheckHealth(server);\n      if (result.success) {\n        message.success({\n          content: result.messageKey\n            ? t(result.messageKey)\n            : t(\"mcpConfig.message.healthCheckSuccess\"),\n          key,\n        });\n      } else {\n        message.error({\n          content: result.messageKey\n            ? t(result.messageKey)\n            : result.message || t(\"mcpConfig.message.healthCheckFailed\"),\n          key,\n        });\n      }\n    } catch (error) {\n      message.error({\n        content: t(\"mcpConfig.message.healthCheckFailed\"),\n        key,\n      });\n    }\n  };\n\n  // Handlers (Edit Server)\n  const onEditServer = async (server: McpServer) => {\n    setEditingServer(server);\n    setEditServerModalVisible(true);\n    setLoadingMcpRecord(true);\n\n    // If mcp_id is available, fetch the latest record data including authorization_token\n    if (server.mcp_id) {\n      const result = await handleGetMcpRecord(server.mcp_id);\n      if (result.success && result.data) {\n        setEditingServer({\n          ...server,\n          service_name: result.data.mcp_name,\n          mcp_url: result.data.mcp_server,\n          authorization_token: result.data.authorization_token,\n        });\n      } else {\n        message.error(result.messageKey ? t(result.messageKey) : (result.message || t(\"mcpConfig.message.getMcpRecordFailed\")));\n      }\n    }\n    setLoadingMcpRecord(false);\n  };\n\n  const onSaveEditedServer = async (name: string, url: string, authorizationToken?: string | null) => {\n    if (!editingServer) return;\n    if (!name.trim() || !url.trim()) {\n      message.error(t(\"mcpConfig.message.nameAndUrlRequired\"));\n      return;\n    }\n    const serverName = name.trim();\n    if (!/^[a-zA-Z0-9_-]+$/.test(serverName)) {\n      message.error(t(\"mcpConfig.message.invalidServerName\"));\n      return;\n    }\n    if (serverName.length > 20) {\n      message.error(t(\"mcpConfig.message.serverNameTooLong\"));\n      return;\n    }\n\n    setUpdatingServer(true);\n    const result = await handleUpdateServer(\n      editingServer.service_name,\n      editingServer.mcp_url,\n      name.trim(),\n      url.trim(),\n      authorizationToken\n    );\n    if (result.success) {\n      setEditServerModalVisible(false);\n      setEditingServer(null);\n      message.success(result.messageKey ? t(result.messageKey) : t(\"mcpService.message.updateServerSuccess\"));\n    } else {\n      message.error(result.messageKey ? t(result.messageKey) : (result.message || t(\"mcpService.message.updateServerFailed\")));\n    }\n    setUpdatingServer(false);\n  };\n\n  // Handlers (Container)\n  const onAddContainer = async () => {\n    if (!containerConfigJson.trim()) {\n      message.error(t(\"mcpConfig.message.containerConfigRequired\"));\n      return;\n    }\n    if (!containerPort || containerPort < 1 || containerPort > 65535) {\n      message.error(t(\"mcpConfig.message.validPortRequired\"));\n      return;\n    }\n    let config;\n    try {\n      config = JSON.parse(containerConfigJson);\n    } catch (error) {\n      message.error(t(\"mcpConfig.message.invalidJsonConfig\"));\n      return;\n    }\n    if (!config.mcpServers || typeof config.mcpServers !== \"object\") {\n      message.error(t(\"mcpConfig.message.invalidConfigStructure\"));\n      return;\n    }\n\n    setAddingContainer(true);\n    const result = await handleAddContainer(config, containerPort);\n    if (result.success) {\n      setContainerConfigJson(\"\");\n      setContainerPort(undefined);\n      setAddModalVisible(false);\n      message.success(result.messageKey ? t(result.messageKey) : t(\"mcpService.message.addContainerSuccess\"));\n    } else {\n      message.error(result.messageKey ? t(result.messageKey) : (result.message || t(\"mcpConfig.message.addContainerFailed\")));\n    }\n    setAddingContainer(false);\n  };\n\n  const onUploadImage = async () => {\n    if (uploadFileList.length === 0) {\n      message.error(t(\"mcpConfig.message.uploadImageFileRequired\"));\n      return;\n    }\n    if (!uploadPort || uploadPort < 1 || uploadPort > 65535) {\n      message.error(t(\"mcpConfig.message.uploadImageValidPortRequired\"));\n      return;\n    }\n    const file = uploadFileList[0].originFileObj;\n    if (!file) {\n      message.error(t(\"mcpConfig.message.uploadImageFileRequired\"));\n      return;\n    }\n    if (!file.name.toLowerCase().endsWith(\".tar\")) {\n      message.error(t(\"mcpConfig.message.uploadImageInvalidFileType\"));\n      return;\n    }\n\n    setUploadingImage(true);\n    const result = await handleUploadImage(\n      file,\n      uploadPort,\n      uploadServiceName.trim() || undefined,\n      uploadAuthorizationToken.trim() || undefined\n    );\n    if (result.success) {\n      setUploadFileList([]);\n      setUploadPort(undefined);\n      setUploadServiceName(\"\");\n      setUploadAuthorizationToken(\"\");\n      setAddModalVisible(false);\n      message.success(result.messageKey ? t(result.messageKey) : t(\"mcpService.message.uploadImageSuccess\"));\n    } else {\n      message.error(result.messageKey ? t(result.messageKey) : (result.message || t(\"mcpConfig.message.uploadImageFailed\")));\n    }\n    setUploadingImage(false);\n  };\n\n  const onDeleteContainer = async (container: McpContainer) => {\n    const result = await handleDeleteContainer(container);\n    if (!result.success) {\n      message.error(result.messageKey ? t(result.messageKey) : (result.message || t(\"mcpConfig.message.deleteContainerFailed\")));\n    } else {\n      message.success(result.messageKey ? t(result.messageKey) : t(\"mcpService.message.deleteContainerSuccess\"));\n    }\n  };\n\n  const onViewLogs = async (containerId: string) => {\n    setCurrentContainerId(containerId);\n    setLogsModalVisible(true);\n  };\n\n  // Columns for Server Table\n  const serverColumns = [\n    {\n      title: t(\"mcpConfig.serverList.column.name\"),\n      dataIndex: \"service_name\",\n      key: \"service_name\",\n      width: \"25%\",\n      ellipsis: true,\n      render: (text: string) => (\n        <span style={{ overflow: \"hidden\", textOverflow: \"ellipsis\" }}>{text}</span>\n      ),\n    },\n    {\n      title: t(\"mcpConfig.serverList.column.url\"),\n      dataIndex: \"mcp_url\",\n      key: \"mcp_url\",\n      width: \"35%\",\n      ellipsis: true,\n    },\n    {\n      title: t(\"mcpConfig.serverList.column.status\"),\n      key: \"status\",\n      width: \"15%\",\n      render: (_: any, record: McpServer) => {\n        const isAvailable = record.status;\n        const key = `${record.service_name}__${record.mcp_url}`;\n        return (\n          <Tag\n            color={healthCheckLoading[key] ? \"#2E4053\" : isAvailable ? \"#229954\" : \"#E74C3C\"}\n            className=\"inline-flex items-center\"\n            variant=\"solid\"\n          >\n            {healthCheckLoading[key] ? (\n              <LoaderCircle className=\"w-3 h-3 animate-spin mr-1\" />\n            ) : isAvailable ? (\n              <CheckCircle className=\"w-3 h-3 mr-1\" />\n            ) : (\n              <CircleX className=\"w-3 h-3 mr-1\" />\n            )}\n            {t(isAvailable ? \"mcpConfig.status.available\" : \"mcpConfig.status.unavailable\")}\n          </Tag>\n        );\n      },\n    },\n    {\n      title: t(\"mcpConfig.serverList.column.action\"),\n      key: \"action\",\n      width: \"25%\",\n      render: (_: any, record: McpServer) => {\n        const key = `${record.service_name}__${record.mcp_url}`;\n        return (\n          <div className=\"flex items-center space-x-2\">\n            <Tooltip title={t(\"mcpConfig.serverList.button.healthCheck\")}>\n              <Button\n                type=\"text\"\n                icon={<RefreshCw className={`h-4 w-4 ${healthCheckLoading[key] ? \"animate-spin\" : \"\"}`} />}\n                onClick={() => onCheckHealth(record)}\n                size=\"small\"\n                loading={healthCheckLoading[key]}\n                disabled={actionsLocked}\n              />\n            </Tooltip>\n            <Tooltip title={!record.status ? t(\"mcpConfig.serverList.button.viewToolsDisabledHint\") : t(\"mcpConfig.serverList.button.viewTools\")}>\n              <span>\n                <Button\n                  type=\"text\"\n                  icon={<Eye className=\"h-4 w-4\" />}\n                  onClick={() => onViewTools(record)}\n                  size=\"small\"\n                  disabled={!record.status || actionsLocked}\n                />\n              </span>\n            </Tooltip>\n            <Tooltip title={t(\"mcpConfig.serverList.button.edit\")}>\n              <Button\n                type=\"text\"\n                icon={<Edit className=\"h-4 w-4\" />}\n                onClick={() => onEditServer(record)}\n                size=\"small\"\n                disabled={actionsLocked}\n              />\n            </Tooltip>\n            <Popconfirm\n              title={t(\"mcpConfig.delete.confirmTitle\")}\n              description={t(\"mcpConfig.delete.confirmContent\", { name: record.service_name })}\n              onConfirm={() => onDeleteServer(record)}\n              okText={t(\"common.confirm\")}\n              cancelText={t(\"common.cancel\")}\n            >\n              <Tooltip title={t(\"mcpConfig.serverList.button.delete\")}>\n                <Button\n                  type=\"text\"\n                  danger\n                  icon={<Trash2 className=\"h-4 w-4\" />}\n                  size=\"small\"\n                  disabled={actionsLocked}\n                />\n              </Tooltip>\n            </Popconfirm>\n          </div>\n        );\n      },\n    },\n  ];\n\n  // Columns for Container Table\n  const containerColumns = [\n    {\n      title: t(\"mcpConfig.containerList.column.name\"),\n      dataIndex: \"name\",\n      key: \"name\",\n      width: \"25%\",\n      ellipsis: true,\n      render: (text: string, record: any) => text || record.container_id?.substring(0, 12),\n    },\n    {\n      title: t(\"mcpConfig.containerList.column.containerId\"),\n      dataIndex: \"container_id\",\n      key: \"container_id\",\n      width: \"20%\",\n      ellipsis: true,\n      render: (text: string) => text || \"-\",\n    },\n    {\n      title: t(\"mcpConfig.containerList.column.port\"),\n      dataIndex: \"host_port\",\n      key: \"host_port\",\n      width: \"15%\",\n      render: (port: number) => port || \"-\",\n    },\n    {\n      title: t(\"mcpConfig.containerList.column.status\"),\n      dataIndex: \"status\",\n      key: \"status\",\n      width: \"15%\",\n      render: (status: string) => {\n        const statusConfig: Record<string, { color: string; icon: React.ReactNode }> = {\n          running: { color: \"#229954\", icon: <CheckCircle className=\"w-3 h-3\" /> },\n          exited: { color: \"#E74C3C\", icon: <CircleX className=\"w-3 h-3\" /> },\n          created: { color: \"#2E4053\", icon: <LoaderCircle className=\"w-3 h-3 animate-spin\" /> },\n          paused: { color: \"#AEB6BF\", icon: <AlertCircle className=\"w-3 h-3\" /> },\n          restarting: { color: \"#2E4053\", icon: <LoaderCircle className=\"w-3 h-3 animate-spin\" /> },\n        };\n        const config = statusConfig[status || \"\"] || { color: \"#2E4053\", icon: <AlertCircle className=\"w-3 h-3\" /> };\n        return (\n          <Tag color={config.color} className=\"inline-flex items-center\" variant=\"solid\">\n            <span className=\"mr-1\">{config.icon}</span>\n            {status || \"unknown\"}\n          </Tag>\n        );\n      },\n    },\n    {\n      title: t(\"mcpConfig.containerList.column.action\"),\n      key: \"action\",\n      width: \"25%\",\n      render: (_: any, record: any) => (\n        <div className=\"flex items-center space-x-2\">\n          <Tooltip title={t(\"mcpConfig.containerList.button.viewLogs\")}>\n            <Button\n              type=\"text\"\n              icon={<FileText className=\"h-4 w-4\" />}\n              onClick={() => onViewLogs(record.container_id)}\n              size=\"small\"\n              disabled={updatingTools}\n            />\n          </Tooltip>\n          <Popconfirm\n            title={t(\"mcpConfig.deleteContainer.confirmTitle\")}\n            description={t(\"mcpConfig.deleteContainer.confirmContent\", { name: record.name || record.container_id })}\n            onConfirm={() => onDeleteContainer(record)}\n            okText={t(\"common.confirm\")}\n            cancelText={t(\"common.cancel\")}\n          >\n            <Tooltip title={t(\"mcpConfig.containerList.button.delete\")}>\n              <Button\n                type=\"text\"\n                danger\n                icon={<Trash2 className=\"h-4 w-4\" />}\n                size=\"small\"\n                disabled={actionsLocked}\n              />\n            </Tooltip>\n          </Popconfirm>\n        </div>\n      ),\n    },\n  ];\n\n  return (\n    <div className=\"h-full flex flex-col overflow-hidden\">\n      <div className=\"flex justify-between items-center mb-4 flex-shrink-0\">\n        <div />\n        <Button type=\"primary\" icon={<Plus size={16} />} onClick={() => setAddModalVisible(true)}>\n          {t(\"tenantResources.mcp.addService\")}\n        </Button>\n      </div>\n\n      <div className=\"space-y-6 flex-1 overflow-auto\">\n        <div className=\"min-w-0\">\n          <Title level={5} style={{ marginBottom: 12 }}>{t(\"mcpConfig.serverList.title\")}</Title>\n          <Table\n            columns={serverColumns}\n            dataSource={serverList}\n            rowKey={(record) => `${record.service_name}-${record.mcp_url}`}\n            loading={loading}\n            size=\"small\"\n            pagination={{ pageSize: 7 }}\n            locale={{ emptyText: t(\"mcpConfig.serverList.empty\") }}\n            scroll={{ x: true }}\n          />\n        </div>\n\n        <div className=\"min-w-0\">\n          <Title level={5} style={{ marginBottom: 12 }}>{t(\"mcpConfig.containerList.title\")}</Title>\n          <Table\n            columns={containerColumns}\n            dataSource={containerList}\n            rowKey=\"container_id\"\n            loading={loading}\n            size=\"small\"\n            pagination={{ pageSize: 3 }}\n            locale={{ emptyText: t(\"mcpConfig.containerList.empty\") }}\n            scroll={{ x: true }}\n          />\n        </div>\n      </div>\n\n      {/* Add Modal */}\n      <Modal\n        title={t(\"mcpConfig.modal.title\")}\n        open={addModalVisible}\n        onCancel={() => !actionsLocked && setAddModalVisible(false)}\n        footer={null}\n        width={800}\n        destroyOnClose\n      >\n        <Tabs\n          defaultActiveKey=\"remote\"\n          items={[\n            {\n              key: \"remote\",\n              label: (\n                <span className=\"flex items-center gap-2\">\n                  <Unplug size={16} />\n                  {t(\"mcpConfig.addServer.title\")}\n                </span>\n              ),\n              children: (\n                <Card size=\"small\" className=\"mt-2\">\n                  <Space direction=\"vertical\" className=\"w-full\" size=\"small\">\n                    <div className=\"flex items-center gap-2 w-full\">\n                      <Input\n                        placeholder={t(\"mcpConfig.addServer.namePlaceholder\")}\n                        value={newServerName}\n                        onChange={(e) => setNewServerName(e.target.value)}\n                        maxLength={20}\n                        disabled={actionsLocked || addingServer}\n                        style={{ flex: 0.8 }}\n                      />\n                      <Input\n                        placeholder={t(\"mcpConfig.addServer.urlPlaceholder\")}\n                        value={newServerUrl}\n                        onChange={(e) => setNewServerUrl(e.target.value)}\n                        disabled={actionsLocked || addingServer}\n                        style={{ flex: 3 }}\n                      />\n                    </div>\n                    <div className=\"flex items-center gap-2 w-full\">\n                      <Input.Password\n                        placeholder={t(\"mcpConfig.editServer.authorizationTokenPlaceholder\")}\n                        value={newServerAuthorizationToken}\n                        onChange={(e) => setNewServerAuthorizationToken(e.target.value)}\n                        disabled={actionsLocked || addingServer}\n                        className=\"flex-1\"\n                      />\n                      <Button\n                        type=\"primary\"\n                        onClick={onAddServer}\n                        loading={addingServer || updatingTools}\n                        disabled={actionsLocked}\n                        icon={addingServer || updatingTools ? <LoaderCircle className=\"animate-spin size-4\" /> : <Plus className=\"size-4\" />}\n                      >\n                        {updatingTools\n                          ? t(\"mcpConfig.addServer.button.updating\")\n                          : t(\"mcpConfig.addServer.button.add\")}\n                      </Button>\n                    </div>\n                  </Space>\n                </Card>\n              ),\n            },\n            {\n              key: \"container\",\n              label: (\n                <span className=\"flex items-center gap-2\">\n                  <Container size={16} />\n                  {t(\"mcpConfig.addContainer.title\")}\n                </span>\n              ),\n              children: (\n                <Card size=\"small\" className=\"mt-2\">\n                  <Space direction=\"vertical\" className=\"w-full\">\n                    <Text type=\"secondary\" style={{ fontSize: 12 }}>{t(\"mcpConfig.addContainer.configHint\")}</Text>\n                    <Input.TextArea\n                      placeholder={t(\"mcpConfig.addContainer.configPlaceholder\")}\n                      value={containerConfigJson}\n                      onChange={(e) => setContainerConfigJson(e.target.value)}\n                      rows={6}\n                      disabled={actionsLocked}\n                      style={{ fontFamily: \"monospace\", fontSize: 12 }}\n                    />\n                    <div className=\"flex items-center gap-2\">\n                      <Text style={{ minWidth: 80 }}>{t(\"mcpConfig.addContainer.port\")}:</Text>\n                      <InputNumber\n                        placeholder={t(\"mcpConfig.addContainer.portPlaceholder\")}\n                        value={containerPort}\n                        onChange={(value) => {\n                          setContainerPort(value === null ? undefined : value);\n                        }}\n                        min={1}\n                        max={65535}\n                        style={{ width: 150 }}\n                        disabled={actionsLocked}\n                        controls={false}\n                      />\n                      <div className=\"flex-1\" />\n                      <Button\n                          type=\"primary\"\n                          onClick={onAddContainer}\n                          loading={addingContainer || updatingTools}\n                          disabled={actionsLocked}\n                          icon={addingContainer || updatingTools ? <LoaderCircle className=\"animate-spin size-4\" /> : <Plus className=\"size-4\" />}\n                        >\n                          {t(\"mcpConfig.addContainer.button.add\")}\n                        </Button>\n                    </div>\n                  </Space>\n                </Card>\n              ),\n            },\n            ...(enableUploadImage ? [{\n              key: \"upload\",\n              label: (\n                <span className=\"flex items-center gap-2\">\n                  <UploadIcon size={16} />\n                  {t(\"mcpConfig.uploadImage.title\")}\n                </span>\n              ),\n              children: (\n                <Card size=\"small\" className=\"mt-2\">\n                  <Space direction=\"vertical\" className=\"w-full\">\n                    <Text type=\"secondary\" style={{ fontSize: 12 }}>{t(\"mcpConfig.uploadImage.fileHint\")}</Text>\n                    <Upload\n                      fileList={uploadFileList}\n                      onChange={({ fileList }) => setUploadFileList(fileList)}\n                      beforeUpload={() => false}\n                      accept=\".tar\"\n                      maxCount={1}\n                      disabled={actionsLocked}\n                    >\n                      <Button icon={<UploadIcon size={16} />} disabled={actionsLocked}>\n                        {t(\"mcpConfig.uploadImage.button.selectFile\")}\n                      </Button>\n                    </Upload>\n                    <div className=\"flex items-center gap-2\">\n                      <InputNumber\n                        placeholder={t(\"mcpConfig.uploadImage.portPlaceholder\")}\n                        value={uploadPort}\n                        onChange={(value) => {\n                            setUploadPort(value === null ? undefined : value);\n                        }}\n                        style={{ width: 150 }}\n                        disabled={actionsLocked}\n                        min={1}\n                        max={65535}\n                        controls={false}\n                      />\n                      <Input\n                        placeholder={t(\"mcpConfig.uploadImage.serviceNamePlaceholder\")}\n                        value={uploadServiceName}\n                        onChange={(e) => setUploadServiceName(e.target.value)}\n                        className=\"flex-1\"\n                        disabled={actionsLocked}\n                      />\n                    </div>\n                    <div className=\"flex items-center gap-2\">\n                      <Input.Password\n                        placeholder={t(\"mcpConfig.editServer.authorizationTokenPlaceholder\")}\n                        value={uploadAuthorizationToken}\n                        onChange={(e) => setUploadAuthorizationToken(e.target.value)}\n                        className=\"flex-1\"\n                        disabled={actionsLocked}\n                      />\n                      <Button\n                        type=\"primary\"\n                        onClick={onUploadImage}\n                        loading={uploadingImage || updatingTools}\n                        disabled={actionsLocked}\n                        icon={uploadingImage || updatingTools ? <LoaderCircle className=\"animate-spin size-4\" /> : <Plus className=\"size-4\" />}\n                      >\n                        {updatingTools\n                          ? t(\"mcpConfig.addContainer.button.updating\")\n                          : t(\"mcpConfig.addContainer.button.add\")}\n                      </Button>\n                    </div>\n                  </Space>\n                </Card>\n              ),\n            }] : []),\n          ]}\n        />\n      </Modal>\n\n      {/* Tools Modal */}\n      <McpToolListModal\n        open={toolsModalVisible}\n        onCancel={() => setToolsModalVisible(false)}\n        loading={loadingTools}\n        tools={currentServerTools}\n        serverName={currentServerName}\n      />\n\n      {/* Edit Server Modal */}\n      <McpEditServerModal\n        open={editServerModalVisible}\n        onCancel={() => {\n          setEditServerModalVisible(false);\n          setEditingServer(null);\n        }}\n        onSave={onSaveEditedServer}\n        initialName={editingServer?.service_name || \"\"}\n        initialUrl={editingServer?.mcp_url || \"\"}\n        initialAuthorizationToken={editingServer?.authorization_token || null}\n        loading={updatingServer || loadingMcpRecord}\n      />\n\n      {/* Logs Modal */}\n      <McpContainerLogsModal\n        open={logsModalVisible}\n        onCancel={() => setLogsModalVisible(false)}\n        containerId={currentContainerId}\n        tenantId={tenantId}\n        tail={500}\n      />\n    </div>\n  );\n}\n"
  },
  {
    "path": "frontend/app/[locale]/tenant-resources/components/resources/ModelList.tsx",
    "content": "\"use client\";\n\nimport React, { useState } from \"react\";\nimport { useTranslation } from \"react-i18next\";\nimport { Table, Button, Popconfirm, message, Tag, Pagination } from \"antd\";\nimport { Edit, Trash2, RefreshCw } from \"lucide-react\";\nimport { Tooltip } from \"@/components/ui/tooltip\";\nimport { ColumnsType } from \"antd/es/table\";\nimport type { TablePaginationConfig } from \"antd\";\nimport { FilterValue, SorterResult } from \"antd/es/table/interface\";\nimport { useManageTenantModels } from \"@/hooks/model/useManageTenantModels\";\nimport { modelService } from \"@/services/modelService\";\nimport { type ModelOption, type ModelType } from \"@/types/modelConfig\";\nimport { ModelAddDialog } from \"../../../models/components/model/ModelAddDialog\";\nimport { ModelEditDialog } from \"../../../models/components/model/ModelEditDialog\";\nimport { CheckCircle, CircleSlash, XCircle, CircleEllipsis, CircleHelp } from \"lucide-react\";\n\nexport default function ModelList({ tenantId }: { tenantId: string | null }) {\n  const { t } = useTranslation(\"common\");\n\n  // Pagination state\n  const [page, setPage] = useState(1);\n  const [pageSize, setPageSize] = useState(10);\n\n  // Use manage API to get models for the specified tenant\n  const {\n    models = [],\n    total = 0,\n    isLoading,\n    refetch,\n  } = useManageTenantModels({\n    tenantId: tenantId || \"\",\n    page,\n    pageSize,\n  });\n\n  const [editingModel, setEditingModel] = useState<ModelOption | null>(null);\n  const [addDialogVisible, setAddDialogVisible] = useState(false);\n  const [editDialogVisible, setEditDialogVisible] = useState(false);\n\n  // Track which models are being checked for connectivity\n  const [checkingConnectivity, setCheckingConnectivity] = useState<Set<string>>(new Set());\n\n  const openCreate = () => {\n    setAddDialogVisible(true);\n  };\n\n  const handleAddDialogClose = () => {\n    setAddDialogVisible(false);\n  };\n\n  const handleAddDialogSuccess = async () => {\n    await refetch();\n    setAddDialogVisible(false);\n  };\n\n  const handleEditDialogClose = () => {\n    setEditDialogVisible(false);\n    setEditingModel(null);\n  };\n\n  const handleEditDialogSuccess = async () => {\n    await refetch();\n    setEditDialogVisible(false);\n    setEditingModel(null);\n  };\n\n  const openEdit = (model: ModelOption) => {\n    setEditingModel(model);\n    setEditDialogVisible(true);\n  };\n\n  const handleDelete = async (displayName: string, _provider?: string) => {\n    if (!tenantId) {\n      message.error(t(\"tenantResources.tenants.tenantIdRequired\"));\n      return;\n    }\n    try {\n      await modelService.deleteManageTenantModel({\n        tenantId,\n        displayName,\n      });\n      message.success(t(\"tenantResources.models.deleteSuccess\"));\n      refetch();\n    } catch (error: any) {\n      if (error.response?.data?.message) {\n        message.error(error.response.data.message);\n      } else {\n        message.error(t(\"tenantResources.models.deleteFailed\"));\n      }\n    }\n  };\n\n  // Handle checking model connectivity\n  const handleCheckConnectivity = async (displayName: string) => {\n    if (!tenantId) {\n      message.error(t(\"tenantResources.tenants.tenantIdRequired\"));\n      return;\n    }\n\n    setCheckingConnectivity((prev) => new Set(prev).add(displayName));\n    try {\n      const isConnected = await modelService.checkManageTenantModelConnectivity(\n        tenantId,\n        displayName\n      );\n      if (isConnected) {\n        message.success(t(\"tenantResources.models.connectivitySuccess\"));\n      } else {\n        message.warning(t(\"tenantResources.models.connectivityFailed\"));\n      }\n      // Refresh the model list to get updated connectivity status\n      refetch();\n    } catch (error) {\n      message.error(t(\"tenantResources.models.connectivityError\"));\n    } finally {\n      setCheckingConnectivity((prev) => {\n        const next = new Set(prev);\n        next.delete(displayName);\n        return next;\n      });\n    }\n  };\n\n  // Handle pagination change\n  const handlePageChange = (\n    pagination: TablePaginationConfig,\n    _filters: Record<string, FilterValue | null>,\n    _sorter: SorterResult<ModelOption> | SorterResult<ModelOption>[]\n  ) => {\n    const newPage = pagination.current || 1;\n    const newPageSize = pagination.pageSize || 10;\n    setPage(newPage);\n    if (newPageSize !== pageSize) {\n      setPageSize(newPageSize);\n    }\n  };\n\n\n  const columns: ColumnsType<ModelOption> = [\n    {\n      title: t(\"common.name\"),\n      dataIndex: \"displayName\",\n      key: \"displayName\",\n      width: 200,\n      ellipsis: true,\n    },\n    {\n      title: t(\"common.type\"),\n      dataIndex: \"type\",\n      key: \"type\",\n      width: 100,\n      render: (type: ModelType) => <Tag>{t(`tenantResources.models.type.${type}`)}</Tag>,\n    },\n    {\n      title: t(\"common.status\"),\n      dataIndex: \"connect_status\",\n      key: \"connect_status\",\n      width: 100,\n      render: (status: string) => {\n        const color =\n                status === \"available\" ? \"#229954\" :\n                status === \"unavailable\" ? \"#E74C3C\" :\n                status === \"detecting\" ? \"#5499C7\" :\n                status === \"not_detected\" ? \"#AEB6BF\" : \"#2E4053\";\n\n        const icon = status === \"available\" ? <CheckCircle className=\"w-3 h-3 mr-1\" /> :\n                status === \"unavailable\" ? <CircleSlash className=\"w-3 h-3 mr-1\" /> :\n                status === \"detecting\" ? <CircleEllipsis className=\"w-3 h-3 mr-1\" /> :\n                status === \"not_detected\" ? <CircleHelp className=\"w-3.5 h-3.5 mr-1\" /> :\n                <XCircle className=\"w-3 h-3 mr-1\" />;\n        return (\n          <Tag\n            color={color}\n            className=\"inline-flex items-center\"\n            variant=\"solid\">\n            {icon}\n            {t(`tenantResources.models.status.${status}`)}\n          </Tag>\n        );\n      },\n    },\n    {\n      title: t(\"common.source\"),\n      dataIndex: \"source\",\n      key: \"source\",\n      width: 100,\n      render: (source: string) => <Tag color=\"default\">{source}</Tag>,\n    },\n    {\n      title: t(\"common.actions\"),\n      key: \"actions\",\n      width: 300,\n      render: (_, record: ModelOption) => (\n        <div className=\"flex items-center space-x-2\">\n          <Tooltip title={t(\"tenantResources.models.checkConnectivity\")}>\n            <Button\n              type=\"text\"\n              icon={checkingConnectivity.has(record.displayName) ? <RefreshCw className=\"h-4 w-4 animate-spin\" /> : <RefreshCw className=\"h-4 w-4\" />}\n              onClick={() => handleCheckConnectivity(record.displayName)}\n              size=\"small\"\n              loading={checkingConnectivity.has(record.displayName)}\n            />\n          </Tooltip>\n          <Tooltip title={t(\"tenantResources.models.editModel\")}>\n            <Button\n              type=\"text\"\n              icon={<Edit className=\"h-4 w-4\" />}\n              onClick={() => openEdit(record)}\n              size=\"small\"\n            />\n          </Tooltip>\n          <Popconfirm\n            title={t(\"tenantResources.models.confirmDelete\")}\n            description={t(\"common.cannotBeUndone\")}\n            onConfirm={() => handleDelete(record.displayName, record.source)}\n            okText={t(\"common.confirm\")}\n            cancelText={t(\"common.cancel\")}\n          >\n            <Tooltip title={t(\"tenantResources.models.deleteModel\")}>\n              <Button\n                type=\"text\"\n                danger\n                icon={<Trash2 className=\"h-4 w-4\" />}\n                size=\"small\"\n              />\n            </Tooltip>\n          </Popconfirm>\n        </div>\n      ),\n    },\n  ];\n\n  return (\n    <div className=\"h-full flex flex-col overflow-hidden\">\n      <div className=\"flex items-center justify-between mb-4 flex-shrink-0\">\n        <div />\n        <div>\n          <Button type=\"primary\" onClick={openCreate}>\n            + {t(\"modelConfig.button.addCustomModel\")}\n          </Button>\n        </div>\n      </div>\n\n      <Table\n        columns={columns}\n        dataSource={models}\n        loading={isLoading}\n        rowKey=\"id\"\n        pagination={{\n          current: page,\n          pageSize: pageSize,\n          total: total\n        }}\n        onChange={handlePageChange}\n        scroll={{ x: true }}\n        className=\"flex-1\"\n      />\n\n      <ModelAddDialog\n        isOpen={addDialogVisible}\n        onClose={handleAddDialogClose}\n        onSuccess={handleAddDialogSuccess}\n        tenantId={tenantId || undefined}\n      />\n\n      <ModelEditDialog\n        isOpen={editDialogVisible}\n        model={editingModel}\n        onClose={handleEditDialogClose}\n        onSuccess={handleEditDialogSuccess}\n        tenantId={tenantId || undefined}\n      />\n    </div>\n  );\n}\n"
  },
  {
    "path": "frontend/app/[locale]/tenant-resources/components/resources/UserList.tsx",
    "content": "\"use client\";\n\nimport React, { useMemo, useState, useEffect } from \"react\";\nimport { useTranslation } from \"react-i18next\";\nimport {\n  Table,\n  Button,\n  Modal,\n  Form,\n  Input,\n  Select,\n  Popconfirm,\n  message,\n  Tag,\n} from \"antd\";\nimport { Edit, Trash2 } from \"lucide-react\";\nimport { Tooltip } from \"@/components/ui/tooltip\";\nimport { ColumnsType } from \"antd/es/table\";\nimport { useUserList } from \"@/hooks/user/useUserList\";\nimport { useGroupList } from \"@/hooks/group/useGroupList\";\nimport {\n  updateUser,\n  deleteUser,\n  type User,\n  type UpdateUserRequest,\n} from \"@/services/userService\";\nimport {\n  createGroup,\n  type Group,\n  type CreateGroupRequest,\n} from \"@/services/groupService\";\n\nexport default function UserList({ tenantId, refreshKey }: { tenantId: string | null; refreshKey?: number }) {\n  const { t } = useTranslation(\"common\");\n\n  // Pagination state\n  const [page, setPage] = useState(1);\n  const [pageSize, setPageSize] = useState(10);\n\n  const { data, isLoading, refetch } = useUserList(tenantId, page, pageSize);\n  const { data: groupsData } = useGroupList(tenantId);\n\n  // Reset page to 1 when tenantId changes\n  useEffect(() => {\n    setPage(1);\n  }, [tenantId]);\n\n  // Trigger refetch when refreshKey changes\n  useEffect(() => {\n    if (refreshKey && refreshKey > 0 && tenantId) {\n      refetch();\n    }\n  }, [refreshKey, tenantId, refetch]);\n\n  const users = data?.users || [];\n  const total = data?.total || 0;\n  const groups = groupsData?.groups || [];\n  const [editingUser, setEditingUser] = useState<User | null>(null);\n  const [modalVisible, setModalVisible] = useState(false);\n  const [createGroupModalVisible, setCreateGroupModalVisible] = useState(false);\n\n  const [form] = Form.useForm();\n  const [groupForm] = Form.useForm();\n\n  const openCreateGroup = () => {\n    groupForm.resetFields();\n    setCreateGroupModalVisible(true);\n  };\n\n  const openEdit = (u: User) => {\n    setEditingUser(u);\n    form.setFieldsValue({ username: u.username, role: u.role });\n    setModalVisible(true);\n  };\n\n  const handleDelete = async (id: string) => {\n    try {\n      await deleteUser(id.toString());\n      message.success(t(\"tenantResources.users.deleted\"));\n      refetch();\n    } catch (err: any) {\n      if (err.response?.data?.message) {\n        message.error(err.response.data.message);\n      } else {\n        message.error(t(\"common.unknownError\"));\n      }\n    }\n  };\n\n  const handleSubmit = async () => {\n    try {\n      const values = await form.validateFields();\n      if (!tenantId) throw new Error(\"No tenant selected\");\n\n      if (editingUser) {\n        const updateData: UpdateUserRequest = {\n          role: values.role,\n        };\n        await updateUser(editingUser.id.toString(), updateData);\n        message.success(t(\"tenantResources.users.updated\"));\n      }\n      setModalVisible(false);\n      form.resetFields();\n      refetch();\n    } catch (err: any) {\n      // validation errors already shown by form\n      if (err.response?.data?.message) {\n        message.error(err.response.data.message);\n      }\n    }\n  };\n\n  const handleCreateGroup = async () => {\n    try {\n      const values = await groupForm.validateFields();\n      if (!tenantId) throw new Error(\"No tenant selected\");\n\n      const groupData: CreateGroupRequest = {\n        group_name: values.name,\n        group_description: values.description,\n      };\n\n      const createdGroup = await createGroup(tenantId, groupData);\n      message.success(t(\"tenantResources.groups.created\"));\n\n      setCreateGroupModalVisible(false);\n      groupForm.resetFields();\n\n      // Refresh groups list\n      // Note: useGroupList will automatically refetch on tenant change\n    } catch (err: any) {\n      if (err.response?.data?.message) {\n        message.error(err.response.data.message);\n      }\n    }\n  };\n\n  const columns: ColumnsType<User> = useMemo(\n    () => [\n      {\n        title: t(\"common.email\"),\n        dataIndex: \"username\",\n        key: \"username\",\n      },\n      {\n        title: t(\"common.type\"),\n        dataIndex: \"role\",\n        key: \"role\",\n        render: (role: string) => {\n          const roleLabels: Record<string, string> = {\n            SUPER_ADMIN: t(\"user.role.superAdmin\"),\n            ADMIN: t(\"user.role.admin\"),\n            DEV: t(\"user.role.dev\"),\n            USER: t(\"user.role.user\"),\n          };\n          const color =\n            role === \"SUPER_ADMIN\" ? \"magenta\" :\n            role === \"ADMIN\" ? \"purple\" :\n            role === \"DEV\" ? \"cyan\" :\n            role === \"USER\" ? \"blue\" : \"gray\";\n          return <Tag color={color}>\n              {roleLabels[role] || role}\n            </Tag>;\n        },\n      },\n      {\n        title: t(\"common.actions\"),\n        key: \"actions\",\n        render: (_, record) => (\n          <div className=\"flex items-center space-x-2\">\n            <Tooltip title={t(\"tenantResources.users.editUser\")}>\n              <Button\n                type=\"text\"\n                icon={<Edit className=\"h-4 w-4\" />}\n                onClick={() => openEdit(record)}\n                size=\"small\"\n              />\n            </Tooltip>\n            <Popconfirm\n              title={t(\"tenantResources.users.confirmDelete\", {\n                name: record.username,\n              })}\n              onConfirm={() => handleDelete(record.id)}\n              okText={t(\"common.confirm\")}\n              cancelText={t(\"common.cancel\")}\n            >\n              <Tooltip title={t(\"tenantResources.users.deleteUser\")}>\n                <Button\n                  type=\"text\"\n                  danger\n                  icon={<Trash2 className=\"h-4 w-4\" />}\n                  size=\"small\"\n                />\n              </Tooltip>\n            </Popconfirm>\n          </div>\n        ),\n      },\n    ],\n    []\n  );\n\n  const handlePageChange = (newPage: number, _pageSize: number) => {\n    setPage(newPage);\n  };\n\n  return (\n    <div className=\"h-full flex flex-col overflow-hidden\">\n      <Table\n        dataSource={users}\n        columns={columns}\n        rowKey={(r) => String(r.id)}\n        loading={isLoading}\n        pagination={{\n          current: page,\n          pageSize: pageSize,\n          total: total,\n          onChange: handlePageChange,\n        }}\n        scroll={{ x: true }}\n        className=\"flex-1\"\n      />\n\n      <Modal\n        title={t(\"tenantResources.users.editUser\")}\n        open={modalVisible}\n        onOk={handleSubmit}\n        onCancel={() => setModalVisible(false)}\n        okText={t(\"common.confirm\")}\n        cancelText={t(\"common.cancel\")}\n      >\n        <Form layout=\"vertical\" form={form}>\n          <Form.Item name=\"username\" label={t(\"common.email\")}>\n            <Input\n              disabled={!!editingUser}\n              placeholder={t(\"tenantResources.users.enterEmail\")}\n            />\n          </Form.Item>\n          <Form.Item name=\"role\" label={t(\"common.type\")} rules={[{ required: true }]}>\n            <Select\n              options={[\n                { label: t(\"user.role.admin\"), value: \"ADMIN\" },\n                { label: t(\"user.role.dev\"), value: \"DEV\" },\n                { label: t(\"user.role.user\"), value: \"USER\" },\n              ]}\n            />\n          </Form.Item>\n        </Form>\n      </Modal>\n\n      {/* Create Group Modal */}\n      <Modal\n        title={t(\"tenantResources.groups.createGroup\")}\n        open={createGroupModalVisible}\n        onOk={handleCreateGroup}\n        onCancel={() => setCreateGroupModalVisible(false)}\n        okText={t(\"common.confirm\")}\n        cancelText={t(\"common.cancel\")}\n      >\n        <Form layout=\"vertical\" form={groupForm}>\n          <Form.Item\n            name=\"name\"\n            label={t(\"tenantResources.groups.name\")}\n            rules={[{ required: true, message: t(\"tenantResources.groups.enterName\") }]}\n          >\n            <Input placeholder={t(\"tenantResources.groups.enterName\")} />\n          </Form.Item>\n          <Form.Item name=\"description\" label={t(\"common.description\")}>\n            <Input.TextArea\n              placeholder={t(\"tenantResources.groups.enterDescription\")}\n              rows={3}\n            />\n          </Form.Item>\n        </Form>\n      </Modal>\n    </div>\n  );\n}\n"
  },
  {
    "path": "frontend/app/[locale]/tenant-resources/page.tsx",
    "content": "\"use client\";\n\nimport React from \"react\";\nimport { Flex } from \"antd\";\nimport { useSetupFlow } from \"@/hooks/useSetupFlow\";\nimport UserManageComp from \"./components/UserManageComp\";\n\n/**\n * Tenant Resources page - tenant-scoped resource management UI\n *\n * Notes:\n * - The backend APIs may be unavailable during development; the UI uses\n *   hooks/services that provide mock data until real endpoints are wired.\n * - Layout uses Flex for responsive design and proper content flow.\n */\nexport default function TenantResourcesPage() {\n\n  return (\n    <>\n      <Flex\n        vertical\n        style={{ width: \"100%\", height: \"100%\" }}\n        className=\"h-full w-full overflow-hidden\"\n      >\n        <UserManageComp />\n      </Flex>\n    </>\n  );\n}\n"
  },
  {
    "path": "frontend/app/[locale]/users/components/UserProfileComp.tsx",
    "content": "\"use client\";\n\nimport React, { useState, useEffect } from \"react\";\nimport {\n  Button,\n  Typography,\n  Space,\n  Modal,\n  Form,\n  Input,\n  App,\n  Flex,\n  Alert,\n  Tag,\n  Tooltip,\n} from \"antd\";\nimport { motion } from \"framer-motion\";\nimport { useTranslation } from \"react-i18next\";\nimport {\n  User,\n  LogOut,\n  Trash2,\n  Shield,\n  Mail,\n  Edit,\n  Key,\n  ChevronRight,\n  KeySquare,\n  KeyRound,\n  Copy,\n} from \"lucide-react\";\nimport { USER_ROLES } from \"@/const/modelConfig\";\nimport { useAuthorizationContext } from \"@/components/providers/AuthorizationProvider\";\nimport { useAuthenticationContext } from \"@/components/providers/AuthenticationProvider\";\nimport { useGroupList } from \"@/hooks/group/useGroupList\";\nimport { useMemo } from \"react\";\nimport { DeleteAccountModal } from \"@/components/auth/DeleteAccountModal\";\nimport log from \"@/lib/logger\";\nimport {\n  getUserTokens,\n  deleteUserToken,\n  createUserToken,\n} from \"@/services/tokenService\";\n\n/**\n * UserProfileComp - User profile and account settings component\n *\n * Features:\n * - Display user profile information (email, role, etc.)\n * - Edit user profile\n * - Change password\n * - Logout\n * - Delete account (with confirmation)\n */\nexport default function UserProfileComp() {\n  const { t } = useTranslation(\"common\");\n  const { message: antdMessage } = App.useApp();\n  const { logout, revoke, isLoading } = useAuthenticationContext()\n  const { user, groupIds } = useAuthorizationContext()\n\n  // Fetch groups for group name mapping\n  const { data: groupData } = useGroupList(user?.tenantId || null);\n  const groups = groupData?.groups || [];\n\n  // Create group name mapping from group_id to group_name\n  const groupNameMap = useMemo(() => {\n    const map = new Map<number, string>();\n    groups.forEach((group) => {\n      map.set(group.group_id, group.group_name);\n    });\n    return map;\n  }, [groups]);\n\n  // Get user's group names\n  const userGroupNames = useMemo(() => {\n    if (!groupIds || groupIds.length === 0) return [];\n    return groupIds.map((id) => ({\n      id,\n      name: groupNameMap.get(id) || t(\"common.unknown\"),\n      description: groups.find((g) => g.group_id === id)?.group_description || \"\",\n    }));\n  }, [groupIds, groupNameMap, groups, t]);\n\n  // Modal states\n  const [isEditModalOpen, setIsEditModalOpen] = useState(false);\n  const [isPasswordModalOpen, setIsPasswordModalOpen] = useState(false);\n  const [isDeleteModalOpen, setIsDeleteModalOpen] = useState(false);\n\n  // AK/SK state\n  const [akInfo, setAkInfo] = useState<string | null>(null);\n  const [existingTokenIds, setExistingTokenIds] = useState<number[]>([]);\n  const [isLoadingAkSk, setIsLoadingAkSk] = useState(false);\n  const [isGeneratingAkSk, setIsGeneratingAkSk] = useState(false);\n\n  // Form instances\n  const [editForm] = Form.useForm();\n  const [passwordForm] = Form.useForm();\n\n  // Check if user is admin or super admin (cannot delete account)\n  const isAdminOrSuperAdmin = user?.role === USER_ROLES.ADMIN || user?.role === USER_ROLES.SU;\n  const getRoleDisplayName = (role: string) => {\n    switch (role) {\n      case USER_ROLES.SPEED:\n        return t(\"auth.speed\");\n      case USER_ROLES.SU:\n        return t(\"auth.su\");\n      case USER_ROLES.ADMIN:\n        return t(\"auth.admin\");\n      case USER_ROLES.DEV:\n        return t(\"auth.dev\");\n      case USER_ROLES.USER:\n        return t(\"auth.user\");\n      default:\n        return t(\"auth.user\");\n    }\n  };\n\n  // Handle logout\n  const handleLogout = async () => {\n    try {\n      await logout();\n      window.location.href = \"/\";\n    } catch (error) {\n      antdMessage.error(t(\"auth.logoutFailed\"));\n    }\n  };\n\n  // Handle delete account\n  const handleDeleteAccount = async () => {\n    try {\n      await revoke();\n      antdMessage.success(t(\"auth.revokeSuccess\"));\n      window.location.href = \"/\";\n    } catch (error) {\n      antdMessage.error(t(\"auth.revokeFailed\"));\n    }\n  };\n\n  // Fetch AK/SK info on mount\n  useEffect(() => {\n    const fetchAkSkInfo = async () => {\n      if (!user?.id) return;\n      setIsLoadingAkSk(true);\n      try {\n        const tokens = await getUserTokens(user.id);\n        if (tokens.length > 0) {\n          setAkInfo(tokens[0].access_key);\n          setExistingTokenIds(tokens.map((t) => t.token_id));\n        }\n      } catch (error) {\n        log.error(\"Failed to fetch AK/SK info:\", error);\n      } finally {\n        setIsLoadingAkSk(false);\n      }\n    };\n\n    fetchAkSkInfo();\n  }, [user?.id]);\n\n  // Handle generate AK/SK: delete existing tokens first, then create a new one\n  const handleGenerateAkSk = async () => {\n    setIsGeneratingAkSk(true);\n    try {\n      for (const tokenId of existingTokenIds) {\n        await deleteUserToken(tokenId);\n      }\n\n      const newToken = await createUserToken();\n      setAkInfo(newToken.access_key);\n      setExistingTokenIds([newToken.token_id]);\n      antdMessage.success(t(\"profile.generateAkSkSuccess\") || \"Access key generated successfully\");\n    } catch (error) {\n      antdMessage.error(t(\"profile.generateAkSkFailed\") || \"Failed to generate access key\");\n    } finally {\n      setIsGeneratingAkSk(false);\n    }\n  };\n\n  // Handle copy AK to clipboard\n  const handleCopyAk = async () => {\n    if (akInfo) {\n      try {\n        await navigator.clipboard.writeText(akInfo);\n        antdMessage.success(t(\"profile.copyAkSuccess\") || \"Access key copied to clipboard\");\n      } catch (error) {\n        antdMessage.error(t(\"profile.copyAkFailed\") || \"Failed to copy access key\");\n      }\n    }\n  };\n\n  // Open edit modal\n  // const openEditModal = () => {\n  //   editForm.setFieldsValue({\n  //     email: user?.email || \"\",\n  //     displayName: user?.email?.split(\"@\")[0] || \"\",\n  //   });\n  //   setIsEditModalOpen(true);\n  // };\n\n  return (\n    <Flex vertical className=\"h-full w-full\">\n      {/* Page header */}\n      <div className=\"flex-shrink-0 w-full px-4 md:px-8 lg:px-16 py-8\">\n        <div className=\"max-w-2xl mx-auto\">\n          <motion.div\n            initial={{ opacity: 0, y: -8 }}\n            animate={{ opacity: 1, y: 0 }}\n            transition={{ duration: 0.35 }}\n          >\n            <div className=\"flex items-center gap-3\">\n              <div className=\"w-12 h-12 rounded-full bg-gradient-to-br from-blue-500 to-indigo-500 flex items-center justify-center shadow-sm\">\n                <User className=\"h-6 w-6 text-white\" />\n              </div>\n              <div>\n                <h1 className=\"text-2xl font-bold text-gray-900 dark:text-gray-100\">\n                  {t(\"profile.title\") || \"User Profile\"}\n                </h1>\n                <p className=\"text-slate-500 dark:text-slate-400 text-sm mt-0.5\">\n                  {t(\"profile.subtitle\") || \"Manage your account settings\"}\n                </p>\n              </div>\n            </div>\n          </motion.div>\n        </div>\n      </div>\n\n      {/* Main content area */}\n      <div className=\"flex-1 overflow-auto px-4 md:px-8 lg:px-16 py-2\">\n        <div className=\"max-w-2xl mx-auto space-y-4\">\n          {/* Account Info Section */}\n          <motion.div\n            initial={{ opacity: 0, y: 8 }}\n            animate={{ opacity: 1, y: 0 }}\n            transition={{ duration: 0.35, delay: 0.1 }}\n          >\n            <div className=\"bg-white dark:bg-gray-800 rounded-xl shadow-sm border border-gray-100 dark:border-gray-700 overflow-hidden\">\n              {/* Header */}\n              <div className=\"px-6 py-4 border-b border-gray-100 dark:border-gray-700 flex items-center justify-between\">\n                <div className=\"flex items-center gap-2\">\n                  <Mail className=\"h-5 w-5 text-blue-500\" />\n                  <span className=\"font-medium text-gray-900 dark:text-gray-100\">\n                    {t(\"profile.profileInfo\") || \"Account Info\"}\n                  </span>\n                </div>\n                <Button\n                  type=\"text\"\n                  size=\"small\"\n                  icon={<Edit className=\"h-4 w-4\" />}\n                  disabled\n                >\n                  {t(\"common.edit\") || \"Edit\"}\n                </Button>\n              </div>\n\n              {/* Info Items */}\n              <div className=\"divide-y divide-gray-50 dark:divide-gray-700/50\">\n                <div className=\"px-6 py-3 flex items-center justify-between\">\n                  <span className=\"text-gray-500 dark:text-gray-400 text-sm\">\n                    {t(\"common.email\") || \"Email\"}\n                  </span>\n                  <span className=\"text-gray-900 dark:text-gray-100 text-sm font-medium\">\n                    {user?.email || \"-\"}\n                  </span>\n                </div>\n                <div className=\"px-6 py-3 flex items-center justify-between\">\n                  <span className=\"text-gray-500 dark:text-gray-400 text-sm\">\n                    {t(\"profile.role\") || \"Role\"}\n                  </span>\n                  <span className=\"text-gray-900 dark:text-gray-100 text-sm font-medium\">\n                    {getRoleDisplayName(user?.role || \"user\")}\n                  </span>\n                </div>\n                <div className=\"px-6 py-3 flex items-center justify-between\">\n                  <span className=\"text-gray-500 dark:text-gray-400 text-sm\">\n                    {t(\"agent.userGroup\") || \"User Group\"}\n                  </span>\n                  <div className=\"flex flex-wrap gap-1 justify-end max-w-[50%]\">\n                    {userGroupNames.length > 0 ? (\n                      userGroupNames.map((group) => (\n                        <Tooltip\n                            key={group.id}\n                            title={group.description || t(\"tenantResources.groups.noDescription\")}\n                          >\n                          <Tag\n                            color=\"blue\"\n                            className=\"cursor-pointer hover:opacity-80 transition-opacity\"\n                          >\n                            <span className=\"font-medium\">{group.name}</span>\n                          </Tag>\n                        </Tooltip>\n                      ))\n                    ) : (\n                      <span className=\"text-gray-400 text-sm\">\n                        {t(\"agent.userGroup.empty\")}\n                      </span>\n                    )}\n                  </div>\n                </div>\n              </div>\n            </div>\n          </motion.div>\n\n          {/* Security Section */}\n          <motion.div\n            initial={{ opacity: 0, y: 8 }}\n            animate={{ opacity: 1, y: 0 }}\n            transition={{ duration: 0.35, delay: 0.15 }}\n          >\n            <div className=\"bg-white dark:bg-gray-800 rounded-xl shadow-sm border border-gray-100 dark:border-gray-700 overflow-hidden\">\n              <div className=\"px-6 py-4 border-b border-gray-100 dark:border-gray-700 flex items-center gap-2\">\n                <Shield className=\"h-5 w-5 text-green-500\" />\n                <span className=\"font-medium text-gray-900 dark:text-gray-100\">\n                  {t(\"profile.securitySettings\") || \"Security\"}\n                </span>\n              </div>\n\n              <div className=\"divide-y divide-gray-50 dark:divide-gray-700/50\">\n                <div\n                  className=\"w-full px-6 py-3 flex items-center justify-between opacity-50 cursor-not-allowed\"\n                >\n                  <div className=\"flex items-center gap-3\">\n                    <div className=\"w-8 h-8 rounded-lg bg-blue-50 dark:bg-blue-900/20 flex items-center justify-center\">\n                      <Edit className=\"h-4 w-4 text-blue-500\" />\n                    </div>\n                    <div>\n                      <div className=\"text-sm font-medium text-gray-900 dark:text-gray-100\">\n                        {t(\"profile.editProfile\") || \"Edit Profile\"}\n                      </div>\n                      <div className=\"text-xs text-gray-500 dark:text-gray-400\">\n                        {t(\"profile.editProfileDesc\") || \"Update your account information\"}\n                      </div>\n                    </div>\n                  </div>\n                  <ChevronRight className=\"h-4 w-4 text-gray-400\" />\n                </div>\n\n                <div\n                  className=\"w-full px-6 py-3 flex items-center justify-between opacity-50 cursor-not-allowed\"\n                >\n                  <div className=\"flex items-center gap-3\">\n                    <div className=\"w-8 h-8 rounded-lg bg-green-50 dark:bg-green-900/20 flex items-center justify-center\">\n                      <KeyRound className=\"h-4 w-4 text-green-500\" />\n                    </div>\n                    <div>\n                      <div className=\"text-sm font-medium text-gray-900 dark:text-gray-100\">\n                        {t(\"profile.changePassword\") || \"Change Password\"}\n                      </div>\n                      <div className=\"text-xs text-gray-500 dark:text-gray-400\">\n                        {t(\"profile.passwordDesc\") || \"Update your password\"}\n                      </div>\n                    </div>\n                  </div>\n                  <ChevronRight className=\"h-4 w-4 text-gray-400\" />\n                </div>\n\n                {/* Generate Access Token Option */}\n                <div\n                  className=\"w-full px-6 py-3 flex items-center justify-between hover:bg-gray-50 dark:hover:bg-gray-700/50 transition-colors cursor-pointer\"\n                  onClick={() => {\n                    if (akInfo) {\n                      Modal.confirm({\n                        title: t(\"profile.generateAkSkConfirmTitle\") || \"Generate New Access Key\",\n                        content: t(\"profile.generateAkSkConfirmContent\") || \"You already have an access key. Generating a new one will overwrite the existing key. Continue?\",\n                        okText: t(\"common.confirm\") || \"Confirm\",\n                        cancelText: t(\"common.cancel\") || \"Cancel\",\n                        onOk: handleGenerateAkSk,\n                        okButtonProps: { loading: isGeneratingAkSk },\n                      });\n                    } else {\n                      handleGenerateAkSk();\n                    }\n                  }}\n                >\n                  <div className=\"flex items-center gap-3\">\n                    <div className=\"w-8 h-8 rounded-lg bg-purple-50 dark:bg-purple-900/20 flex items-center justify-center\">\n                      <KeySquare className=\"h-4 w-4 text-purple-500\" />\n                    </div>\n                    <div>\n                      <div className=\"text-sm font-medium text-gray-900 dark:text-gray-100\">\n                        {t(\"profile.generateAkSk\") || \"Generate Access Token\"}\n                      </div>\n                      {akInfo ? (\n                        <div className=\"flex items-center gap-1\">\n                          <span className=\"text-xs font-mono text-purple-600 dark:text-purple-400\">\n                            {akInfo}\n                          </span>\n                          <Button\n                            type=\"text\"\n                            size=\"small\"\n                            icon={<Copy className=\"h-3 w-3\" />}\n                            onClick={(e) => {\n                              e.stopPropagation();\n                              handleCopyAk();\n                            }}\n                            className=\"text-gray-400 hover:text-purple-500 p-0 h-auto\"\n                          />\n                          <Button\n                            type=\"text\"\n                            size=\"small\"\n                            icon={<Trash2 className=\"h-3 w-3\" />}\n                            onClick={(e) => {\n                              e.stopPropagation();\n                              Modal.confirm({\n                                title: t(\"profile.deleteAkSkConfirmTitle\") || \"Delete Access Key\",\n                                content: t(\"profile.deleteAkSkConfirmContent\") || \"Are you sure you want to delete this access key? This action cannot be undone.\",\n                                okText: t(\"common.confirm\") || \"Confirm\",\n                                cancelText: t(\"common.cancel\") || \"Cancel\",\n                                okButtonProps: { danger: true },\n                                onOk: async () => {\n                                  try {\n                                    for (const tokenId of existingTokenIds) {\n                                      await deleteUserToken(tokenId);\n                                    }\n                                    setAkInfo(null);\n                                    setExistingTokenIds([]);\n                                    antdMessage.success(t(\"profile.deleteAkSkSuccess\") || \"Access key deleted successfully\");\n                                  } catch (error) {\n                                    antdMessage.error(t(\"profile.deleteAkSkFailed\") || \"Failed to delete access key\");\n                                  }\n                                },\n                              });\n                            }}\n                            className=\"text-gray-400 hover:text-red-500 p-0 h-auto\"\n                          />\n                        </div>\n                      ) : (\n                        <div className=\"text-xs text-gray-500 dark:text-gray-400\">\n                          {t(\"profile.generateAkSkDesc\") || \"Create or regenerate your API access key\"}\n                        </div>\n                      )}\n                    </div>\n                  </div>\n                  <ChevronRight className=\"h-4 w-4 text-gray-400\" />\n                </div>\n\n                <button\n                  onClick={() => setIsDeleteModalOpen(true)}\n                  className=\"w-full px-6 py-3 flex items-center justify-between hover:bg-red-50 dark:hover:bg-red-900/20 transition-colors text-left\"\n                >\n                  <div className=\"flex items-center gap-3\">\n                    <div className=\"w-8 h-8 rounded-lg bg-red-50 dark:bg-red-900/20 flex items-center justify-center\">\n                      <Trash2 className=\"h-4 w-4 text-red-500\" />\n                    </div>\n                    <div>\n                      <div className=\"text-sm font-medium text-red-600 dark:text-red-400\">\n                        {t(\"profile.deleteAccount\") || \"Delete Account\"}\n                      </div>\n                      <div className=\"text-xs text-red-400 dark:text-red-500\">\n                        {t(\"profile.deleteAccountDesc\") || \"Permanently delete your account\"}\n                      </div>\n                    </div>\n                  </div>\n                  <ChevronRight className=\"h-4 w-4 text-red-400\" />\n                </button>\n\n                {/* Logout Button - Centered at bottom of Security Section */}\n                <div className=\"px-6 py-3 flex justify-center border-t border-gray-50 dark:border-gray-700/50 mt-2\">\n                  <Button\n                    type=\"text\"\n                    danger\n                    size=\"large\"\n                    icon={<LogOut className=\"h-4 w-4\" />}\n                    onClick={handleLogout}\n                    loading={isLoading}\n                    className=\"text-gray-500 hover:text-red-500\"\n                  >\n                    <span className=\"text-sm font-medium\">{t(\"auth.logout\") || \"Logout\"}</span>\n                  </Button>\n                </div>\n              </div>\n            </div>\n          </motion.div>\n        </div>\n      </div>\n\n      {/* Edit Profile Modal */}\n      <Modal\n        title={\n          <Space>\n            <Edit className=\"h-5 w-5 text-blue-500\" />\n            <span>{t(\"profile.editProfile\") || \"Edit Profile\"}</span>\n          </Space>\n        }\n        open={isEditModalOpen}\n        onOk={() => editForm.submit()}\n        onCancel={() => setIsEditModalOpen(false)}\n        okText={t(\"common.save\") || \"Save\"}\n        cancelText={t(\"common.cancel\") || \"Cancel\"}\n      >\n        <Form\n          form={editForm}\n          layout=\"vertical\"\n          onFinish={(values) => {\n            antdMessage.success(t(\"profile.updateSuccess\") || \"Profile updated successfully\");\n            setIsEditModalOpen(false);\n          }}\n        >\n          <Form.Item\n            name=\"displayName\"\n            label={t(\"profile.displayName\") || \"Display Name\"}\n          >\n            <Input placeholder={t(\"profile.enterDisplayName\") || \"Enter your display name\"} />\n          </Form.Item>\n          <Form.Item\n            name=\"email\"\n            label={t(\"common.email\") || \"Email\"}\n          >\n            <Input disabled placeholder={user?.email} />\n          </Form.Item>\n        </Form>\n      </Modal>\n\n      {/* Change Password Modal */}\n      <Modal\n        title={\n          <Space>\n            <Key className=\"h-5 w-5 text-green-500\" />\n            <span>{t(\"profile.changePassword\") || \"Change Password\"}</span>\n          </Space>\n        }\n        open={isPasswordModalOpen}\n        onOk={() => passwordForm.submit()}\n        onCancel={() => setIsPasswordModalOpen(false)}\n        okText={t(\"common.save\") || \"Save\"}\n        cancelText={t(\"common.cancel\") || \"Cancel\"}\n        width={500}\n      >\n        <Alert\n          message={t(\"profile.passwordAlertTitle\") || \"Note\"}\n          description={t(\"profile.passwordAlertDesc\") || \"Password change functionality will be available soon.\"}\n          type=\"info\"\n          showIcon\n          className=\"mb-4\"\n        />\n        <Form\n          form={passwordForm}\n          layout=\"vertical\"\n          onFinish={(values) => {\n            antdMessage.success(t(\"profile.passwordUpdateSuccess\") || \"Password updated successfully\");\n            setIsPasswordModalOpen(false);\n            passwordForm.resetFields();\n          }}\n        >\n          <Form.Item\n            name=\"currentPassword\"\n            label={t(\"profile.currentPassword\") || \"Current Password\"}\n            rules={[{ required: true, message: t(\"auth.passwordRequired\") }]}\n          >\n            <Input.Password placeholder={t(\"auth.passwordLabel\")} />\n          </Form.Item>\n          <Form.Item\n            name=\"newPassword\"\n            label={t(\"profile.newPassword\") || \"New Password\"}\n            rules={[\n              { required: true, message: t(\"auth.passwordRequired\") },\n              { min: 6, message: t(\"auth.passwordMinLength\") },\n            ]}\n          >\n            <Input.Password placeholder={t(\"profile.enterNewPassword\") || \"Enter new password\"} />\n          </Form.Item>\n          <Form.Item\n            name=\"confirmPassword\"\n            label={t(\"auth.confirmPasswordLabel\") || \"Confirm Password\"}\n            dependencies={[\"newPassword\"]}\n            rules={[\n              { required: true, message: t(\"auth.confirmPasswordRequired\") },\n              ({ getFieldValue }) => ({\n                validator(_, value) {\n                  if (!value || getFieldValue(\"newPassword\") === value) {\n                    return Promise.resolve();\n                  }\n                  return Promise.reject(new Error(t(\"auth.passwordsDoNotMatch\")));\n                },\n              }),\n            ]}\n          >\n            <Input.Password placeholder={t(\"auth.confirmPasswordLabel\")} />\n          </Form.Item>\n        </Form>\n      </Modal>\n\n      {/* Delete Account Confirmation Modal */}\n      <DeleteAccountModal\n        open={isDeleteModalOpen}\n        onOk={handleDeleteAccount}\n        onCancel={() => setIsDeleteModalOpen(false)}\n        loading={isLoading}\n        disabled={isAdminOrSuperAdmin}\n      />\n    </Flex>\n  );\n}\n"
  },
  {
    "path": "frontend/app/[locale]/users/page.tsx",
    "content": "\"use client\";\n\nimport React from \"react\";\nimport { Flex } from \"antd\";\nimport UserProfileComp from \"./components/UserProfileComp\";\n\n/**\n * User Management page - User profile and account settings UI\n *\n * Notes:\n * - The backend APIs may be unavailable during development; the UI uses\n *   hooks/services that provide mock data until real endpoints are wired.\n * - Layout uses Flex for responsive design and proper content flow.\n */\nexport default function UsersPage() {\n\n  return (\n    <>\n      <Flex\n        vertical\n        className=\"h-full w-full overflow-hidden\"\n      >\n        <UserProfileComp />\n      </Flex>\n    </>\n  );\n}\n"
  },
  {
    "path": "frontend/components/agent/AgentImportWizard.tsx",
    "content": "\"use client\";\n\nimport React, { useState, useEffect, useRef } from \"react\";\nimport { Modal, Steps, Button, Select, Input, Form, Tag, Space, Spin, App, Collapse, Radio } from \"antd\";\nimport { Download, CircleCheck, CircleX, Plus, Wrench, AlertTriangle } from \"lucide-react\";\nimport { useTranslation } from \"react-i18next\";\nimport { ModelOption } from \"@/types/modelConfig\";\nimport { modelService } from \"@/services/modelService\";\nimport { getMcpServerList, addMcpServer, updateToolList } from \"@/services/mcpService\";\nimport { McpServer } from \"@/types/agentConfig\";\nimport { ImportAgentData } from \"@/hooks/useAgentImport\";\nimport { importAgent, checkAgentNameConflictBatch, regenerateAgentNameBatch, fetchTools } from \"@/services/agentConfigService\";\nimport { useQueryClient } from \"@tanstack/react-query\";\nimport log from \"@/lib/logger\";\n\nexport interface AgentImportWizardProps {\n  visible: boolean;\n  onCancel: () => void;\n  initialData: ImportAgentData | null; // ExportAndImportDataFormat structure\n  onImportComplete?: () => void;\n  title?: string; // Optional custom title\n  agentDisplayName?: string; // Optional display name for preview\n  agentDescription?: string; // Optional description for preview\n}\n\ninterface ConfigField {\n  agentKey: string; // key in agent_info, e.g. \"1\"\n  agentDisplayName: string; // display name for grouping / hint\n  fieldPath: string; // e.g., \"duty_prompt\", \"tools[0].params.api_key\"\n  fieldLabel: string; // User-friendly label\n  promptHint?: string; // Hint from <TO_CONFIG:XXXX>\n  currentValue: string;\n  valueKey: string; // unique key for configValues map (agentKey + fieldPath)\n}\n\ninterface McpServerToInstall {\n  mcp_server_name: string;\n  mcp_url: string;\n  isInstalled: boolean;\n  isUrlEditable: boolean; // true if url is <TO_CONFIG>\n  editedUrl?: string;\n}\n\nconst needsConfig = (value: any): boolean => {\n  if (typeof value === \"string\") {\n    return value.trim() === \"<TO_CONFIG>\" || value.trim().startsWith(\"<TO_CONFIG:\");\n  }\n  return false;\n};\n\nconst extractPromptHint = (value: string): string | undefined => {\n  if (typeof value !== \"string\") return undefined;\n  const match = value.trim().match(/^<TO_CONFIG:(.+)>$/);\n  return match ? match[1] : undefined;\n};\n\n// Parse Markdown links in text and convert to React elements\nconst parseMarkdownLinks = (text: string): React.ReactNode[] => {\n  const linkRegex = /\\[([^\\]]+)\\]\\(([^)]+)\\)/g;\n  const parts: React.ReactNode[] = [];\n  let lastIndex = 0;\n  let match;\n  let key = 0;\n\n  while ((match = linkRegex.exec(text)) !== null) {\n    // Add text before the link\n    if (match.index > lastIndex) {\n      parts.push(text.substring(lastIndex, match.index));\n    }\n    // Add the link\n    parts.push(\n      <a\n        key={key++}\n        href={match[2]}\n        target=\"_blank\"\n        rel=\"noopener noreferrer\"\n        className=\"text-blue-600 dark:text-blue-400 hover:text-blue-800 dark:hover:text-blue-300 underline\"\n        onClick={(e) => {\n          e.stopPropagation();\n        }}\n      >\n        {match[1]}\n      </a>\n    );\n    lastIndex = match.index + match[0].length;\n  }\n  // Add remaining text\n  if (lastIndex < text.length) {\n    parts.push(text.substring(lastIndex));\n  }\n\n  return parts.length > 0 ? parts : [text];\n};\n\nexport default function AgentImportWizard({\n  visible,\n  onCancel,\n  initialData,\n  onImportComplete,\n  title,\n  agentDisplayName,\n  agentDescription,\n}: AgentImportWizardProps) {\n  const { t } = useTranslation(\"common\");\n  const { message } = App.useApp();\n  const queryClient = useQueryClient();\n\n  const [currentStep, setCurrentStep] = useState(0);\n  const [llmModels, setLlmModels] = useState<ModelOption[]>([]);\n  const [loadingModels, setLoadingModels] = useState(false);\n\n  // Model selection mode: \"unified\" (one model for all) or \"individual\" (separate model for each agent)\n  const [modelSelectionMode, setModelSelectionMode] = useState<\"unified\" | \"individual\">(\"unified\");\n\n  // Unified mode: single model for all agents\n  const [selectedModelId, setSelectedModelId] = useState<number | null>(null);\n  const [selectedModelName, setSelectedModelName] = useState<string>(\"\");\n\n  // Individual mode: model for each agent\n  const [selectedModelsByAgent, setSelectedModelsByAgent] = useState<Record<string, { modelId: number | null; modelName: string }>>({});\n\n  const [configFields, setConfigFields] = useState<ConfigField[]>([]);\n  const [configValues, setConfigValues] = useState<Record<string, string>>({});\n\n  const [mcpServers, setMcpServers] = useState<McpServerToInstall[]>([]);\n  const [existingMcpServers, setExistingMcpServers] = useState<McpServer[]>([]);\n  const [loadingMcpServers, setLoadingMcpServers] = useState(false);\n  const [installingMcp, setInstallingMcp] = useState<Record<string, boolean>>({});\n  const [isImporting, setIsImporting] = useState(false);\n  const [availableTools, setAvailableTools] = useState<Array<{ name?: string; origin_name?: string; usage?: string; source?: string }>>([]);\n  const [missingTools, setMissingTools] = useState<Array<{ name: string; source?: string; usage?: string; agents: string[] }>>([]);\n  const [loadingTools, setLoadingTools] = useState(false);\n\n  // Name conflict checking and renaming\n  // Structure: agentKey -> { hasConflict, conflictAgents, renamedName, renamedDisplayName }\n  const [agentNameConflicts, setAgentNameConflicts] = useState<Record<string, {\n    hasConflict: boolean;\n    conflictAgents: Array<{ name?: string; display_name?: string }>;\n    renamedName: string;\n    renamedDisplayName: string;\n  }>>({});\n  const [checkingName, setCheckingName] = useState(false);\n  const [regeneratingAll, setRegeneratingAll] = useState(false);\n  // Track which agents have been successfully renamed (no conflicts)\n  const [successfullyRenamedAgents, setSuccessfullyRenamedAgents] = useState<Set<string>>(new Set());\n  // Debounce timer for manual name changes - use ref to avoid stale closures\n  const nameCheckTimerRef = useRef<NodeJS.Timeout | null>(null);\n  // Store latest agentNameConflicts in ref to avoid stale closures in timer callbacks\n  const agentNameConflictsRef = useRef<Record<string, {\n    hasConflict: boolean;\n    conflictAgents: Array<{ name?: string; display_name?: string }>;\n    renamedName: string;\n    renamedDisplayName: string;\n  }>>({});\n\n  // Helper: Refresh tools and agents after MCP changes\n  const refreshToolsAndAgents = async () => {\n    try {\n      await updateToolList();\n      queryClient.invalidateQueries({ queryKey: [\"tools\"] });\n      queryClient.invalidateQueries({ queryKey: [\"agents\"] });\n    } catch (error) {\n      // Do not block user flow on refresh errors\n      log.error(\"Failed to refresh tools and agents after MCP install:\", error);\n    }\n  };\n\n  // Load LLM models\n  useEffect(() => {\n    if (visible) {\n      loadLLMModels();\n      loadAvailableTools();\n    }\n  }, [visible]);\n\n  // Check name conflict immediately after file upload\n  useEffect(() => {\n    if (visible && initialData) {\n      checkNameConflict();\n    }\n  }, [visible, initialData]);\n\n  // Cleanup timer on unmount\n  useEffect(() => {\n    return () => {\n      if (nameCheckTimerRef.current) {\n        clearTimeout(nameCheckTimerRef.current);\n      }\n    };\n  }, []);\n\n  // Parse agent data for config fields and MCP servers\n  useEffect(() => {\n    if (visible && initialData) {\n      parseConfigFields();\n      parseMcpServers();\n      initializeModelSelection();\n      computeMissingTools();\n    }\n  }, [visible, initialData]);\n\n  // Recompute missing tools when available tool list changes\n  useEffect(() => {\n    if (visible) {\n      computeMissingTools();\n    }\n  }, [visible, availableTools]);\n\n  // Initialize model selection for individual mode\n  const initializeModelSelection = () => {\n    if (!initialData?.agent_info) return;\n\n    const initialModels: Record<string, { modelId: number | null; modelName: string }> = {};\n\n    Object.keys(initialData.agent_info).forEach(agentKey => {\n      initialModels[agentKey] = { modelId: null, modelName: \"\" };\n    });\n\n    setSelectedModelsByAgent(initialModels);\n  };\n\n  // Check name conflict for all agents (main agent + sub-agents)\n  const checkNameConflict = async () => {\n    if (!initialData?.agent_info) return;\n\n    setCheckingName(true);\n    const conflicts: Record<string, {\n      hasConflict: boolean;\n      conflictAgents: Array<{ name?: string; display_name?: string }>;\n      renamedName: string;\n      renamedDisplayName: string;\n    }> = {};\n\n    try {\n      // Check all agents in agent_info\n      const agentInfoMap = initialData.agent_info;\n      const items = Object.entries(agentInfoMap).map(([agentKey, agentInfo]: [string, any]) => ({\n        key: agentKey,\n        name: agentInfo?.name || \"\",\n        display_name: agentInfo?.display_name,\n      }));\n\n      const result = await checkAgentNameConflictBatch({\n        items: items.map((item) => ({\n          name: item.name,\n          display_name: item.display_name,\n        })),\n      });\n\n      if (!result.success || !Array.isArray(result.data)) {\n        log.warn(\"Skip name conflict check due to fetch failure\");\n        setAgentNameConflicts({});\n        agentNameConflictsRef.current = {};\n        setCheckingName(false);\n        return;\n      }\n\n      result.data.forEach((res: any, idx: number) => {\n        const item = items[idx];\n        const agentKey = item.key;\n        const hasNameConflict = res?.name_conflict || false;\n        const hasDisplayNameConflict = res?.display_name_conflict || false;\n        const conflictAgentsRaw = Array.isArray(res?.conflict_agents) ? res.conflict_agents : [];\n        // Deduplicate by name/display_name\n        const seen = new Set<string>();\n        const conflictAgents = conflictAgentsRaw.reduce((acc: Array<{ name?: string; display_name?: string }>, curr: any) => {\n          const key = `${curr?.name || \"\"}||${curr?.display_name || \"\"}`;\n          if (seen.has(key)) return acc;\n          seen.add(key);\n          acc.push({ name: curr?.name, display_name: curr?.display_name });\n          return acc;\n        }, []);\n\n        const hasConflict = hasNameConflict || hasDisplayNameConflict;\n          conflicts[agentKey] = {\n            hasConflict,\n            conflictAgents,\n            renamedName: item.name,\n            renamedDisplayName: item.display_name || \"\",\n          };\n      });\n\n      setAgentNameConflicts(conflicts);\n\n      // Update successfully renamed agents based on initial check\n      // Only add to successfullyRenamedAgents if there was a conflict that was resolved\n      // For initial check, we don't add anything since no renaming has happened yet\n      setSuccessfullyRenamedAgents((prev) => {\n        const next = new Set(prev);\n        // Don't modify on initial check - only track agents that were successfully renamed\n        return next;\n      });\n    } catch (error) {\n      log.error(\"Failed to check name conflicts:\", error);\n    } finally {\n      setCheckingName(false);\n    }\n  };\n\n  // Check name conflict for a specific agent after renaming\n  const checkSingleAgentConflict = async (agentKey: string, name: string, displayName?: string) => {\n    if (!initialData?.agent_info) return;\n\n    try {\n      const result = await checkAgentNameConflictBatch({\n        items: [\n          {\n            name,\n            display_name: displayName,\n          },\n        ],\n      });\n\n      if (!result.success || !Array.isArray(result.data) || !result.data[0]) {\n        return;\n      }\n\n      const checkResult = result.data[0];\n      const hasNameConflict = checkResult?.name_conflict || false;\n      const hasDisplayNameConflict = checkResult?.display_name_conflict || false;\n      const hasConflict = hasNameConflict || hasDisplayNameConflict;\n      const conflictAgentsRaw = Array.isArray(checkResult?.conflict_agents) ? checkResult.conflict_agents : [];\n\n      // Deduplicate by name/display_name\n      const seen = new Set<string>();\n      const conflictAgents = conflictAgentsRaw.reduce((acc: Array<{ name?: string; display_name?: string }>, curr: any) => {\n        const key = `${curr?.name || \"\"}||${curr?.display_name || \"\"}`;\n        if (seen.has(key)) return acc;\n        seen.add(key);\n        acc.push({ name: curr?.name, display_name: curr?.display_name });\n        return acc;\n      }, []);\n\n      setAgentNameConflicts((prev) => {\n        const next = { ...prev };\n        if (!next[agentKey]) {\n          const agentInfo = initialData.agent_info[agentKey] as any;\n          next[agentKey] = {\n            hasConflict: false,\n            conflictAgents: [],\n            renamedName: agentInfo?.name || \"\",\n            renamedDisplayName: agentInfo?.display_name || \"\",\n          };\n        }\n        next[agentKey] = {\n          ...next[agentKey],\n          hasConflict,\n          conflictAgents,\n          renamedName: name,\n          renamedDisplayName: displayName || \"\",\n        };\n        agentNameConflictsRef.current = next;\n        return next;\n      });\n\n      // Update success status\n      setSuccessfullyRenamedAgents((prev) => {\n        const next = new Set(prev);\n        if (hasConflict) {\n          next.delete(agentKey);\n        } else {\n          next.add(agentKey);\n        }\n        return next;\n      });\n\n      return hasConflict;\n    } catch (error) {\n      log.error(\"Failed to check single agent conflict:\", error);\n      return true; // Assume conflict on error to be safe\n    }\n  };\n\n  // One-click regenerate all conflicted agents using selected model(s)\n  const handleRegenerateAll = async () => {\n    if (!initialData?.agent_info) return;\n\n    const agentsWithConflicts = Object.entries(agentNameConflicts).filter(\n      ([_, conflict]) => conflict.hasConflict\n    );\n    if (agentsWithConflicts.length === 0) return;\n\n    setRegeneratingAll(true);\n    try {\n      const payload = {\n        items: agentsWithConflicts.map(([agentKey, conflict]) => {\n          const agentInfo = initialData.agent_info[agentKey] as any;\n          return {\n            agent_id: agentInfo?.agent_id,\n            name: conflict.renamedName || agentInfo?.name || \"\",\n            display_name: conflict.renamedDisplayName || agentInfo?.display_name || \"\",\n            task_description: agentInfo?.business_description || agentInfo?.description || \"\",\n            language: \"zh\",\n          };\n        }),\n      };\n\n      const result = await regenerateAgentNameBatch(payload);\n\n      if (!result.success || !Array.isArray(result.data)) {\n        message.error(result.message || t(\"market.install.error.nameRegenerationFailed\", \"Failed to regenerate name\"));\n        return;\n      }\n\n      const regenerated = result.data as Array<{ name?: string; display_name?: string }>;\n\n      // Update conflicts state with regenerated names\n      setAgentNameConflicts((prev) => {\n        const next = { ...prev };\n        agentsWithConflicts.forEach(([agentKey, conflict], idx) => {\n          const agentInfo = initialData.agent_info[agentKey] as any;\n          const data = regenerated[idx] || {};\n          next[agentKey] = {\n            ...next[agentKey],\n            renamedName: data.name || conflict.renamedName || agentInfo?.name || \"\",\n            renamedDisplayName:\n              data.display_name || conflict.renamedDisplayName || agentInfo?.display_name || \"\",\n          };\n        });\n        agentNameConflictsRef.current = next;\n        return next;\n      });\n\n      // Re-check conflicts for all regenerated agents\n      const checkPromises = agentsWithConflicts.map(async ([agentKey, conflict], idx) => {\n        const data = regenerated[idx] || {};\n        const newName = data.name || conflict.renamedName || \"\";\n        const newDisplayName = data.display_name || conflict.renamedDisplayName || \"\";\n        return checkSingleAgentConflict(agentKey, newName, newDisplayName);\n      });\n\n      const checkResults = await Promise.all(checkPromises);\n      const allResolved = checkResults.every((hasConflict) => !hasConflict);\n\n      if (allResolved) {\n        message.success(t(\"market.install.success.nameRegeneratedAndResolved\", \"Agent names regenerated successfully and all conflicts resolved\"));\n      } else {\n        message.success(t(\"market.install.success.nameRegenerated\", \"Agent name regenerated successfully\"));\n      }\n    } catch (error) {\n      log.error(\"Failed to regenerate agent names:\", error);\n      message.error(t(\"market.install.error.nameRegenerationFailed\", \"Failed to regenerate name\"));\n    } finally {\n      setRegeneratingAll(false);\n    }\n  };\n\n  const loadLLMModels = async () => {\n    setLoadingModels(true);\n    try {\n      const models = await modelService.getLLMModels();\n      setLlmModels(models.filter(m => m.connect_status === \"available\"));\n\n      // Auto-select first available model\n      if (models.length > 0 && models[0].connect_status === \"available\") {\n        setSelectedModelId(models[0].id);\n        setSelectedModelName(models[0].displayName);\n      }\n    } catch (error) {\n      log.error(\"Failed to load LLM models:\", error);\n      message.error(t(\"market.install.error.loadModels\", \"Failed to load models\"));\n    } finally {\n      setLoadingModels(false);\n    }\n  };\n\n  const loadAvailableTools = async () => {\n    setLoadingTools(true);\n    try {\n      const result = await fetchTools();\n      if (result.success) {\n        setAvailableTools(result.data || []);\n      } else {\n        log.warn(\"Skip tool availability check due to fetch failure\");\n        setAvailableTools([]);\n      }\n    } catch (error) {\n      log.error(\"Failed to load available tools:\", error);\n      setAvailableTools([]);\n    } finally {\n      setLoadingTools(false);\n    }\n  };\n\n  const parseConfigFields = () => {\n    if (!initialData?.agent_info) {\n      setConfigFields([]);\n      setConfigValues({});\n      return;\n    }\n\n    const fields: ConfigField[] = [];\n    const agentInfoMap = initialData.agent_info;\n    const mainAgentId = String(initialData.agent_id);\n\n    // Iterate through all agents (main agent + sub-agents)\n    Object.entries(agentInfoMap).forEach(([agentKey, rawInfo]) => {\n      const info = rawInfo as any;\n      const agentDisplayName =\n        info.display_name || info.name || `${t(\"market.install.agent.defaultName\", \"Agent\")} ${agentKey}`;\n      const isMainAgent = agentKey === mainAgentId;\n\n      // Check basic fields for this agent\n      const basicFields: Array<{ key: string; label: string }> = [\n        {\n          key: \"description\",\n          label: t(\"market.detail.description\", \"Description\"),\n        },\n        {\n          key: \"business_description\",\n          label: t(\"market.detail.businessDescription\", \"Business Description\"),\n        },\n        {\n          key: \"duty_prompt\",\n          label: t(\"market.detail.dutyPrompt\", \"Duty Prompt\"),\n        },\n        {\n          key: \"constraint_prompt\",\n          label: t(\"market.detail.constraintPrompt\", \"Constraint Prompt\"),\n        },\n        {\n          key: \"few_shots_prompt\",\n          label: t(\"market.detail.fewShotsPrompt\", \"Few Shots Prompt\"),\n        },\n      ];\n\n      basicFields.forEach(({ key, label }) => {\n        const value = info[key];\n        if (needsConfig(value)) {\n          const valueKey = `${agentKey}::${key}`;\n          fields.push({\n            agentKey,\n            agentDisplayName,\n            fieldPath: key,\n            fieldLabel: isMainAgent ? label : `${agentDisplayName} - ${label}`,\n            promptHint: extractPromptHint(value as string),\n            currentValue: value as string,\n            valueKey,\n          });\n        }\n      });\n\n      // Check tool params for this agent\n      if (Array.isArray(info.tools)) {\n        info.tools.forEach((tool: any, toolIndex: number) => {\n          if (tool.params && typeof tool.params === \"object\") {\n            Object.entries(tool.params).forEach(([paramKey, paramValue]) => {\n              if (needsConfig(paramValue)) {\n                const fieldPath = `tools[${toolIndex}].params.${paramKey}`;\n                const valueKey = `${agentKey}::${fieldPath}`;\n                fields.push({\n                  agentKey,\n                  agentDisplayName,\n                  fieldPath,\n                  fieldLabel: `${agentDisplayName} - ${tool.name || tool.class_name} - ${paramKey}`,\n                  promptHint: extractPromptHint(paramValue as string),\n                  currentValue: paramValue as string,\n                  valueKey,\n                });\n              }\n            });\n          }\n        });\n      }\n    });\n\n    setConfigFields(fields);\n\n    // Initialize config values using valueKey\n    const initialValues: Record<string, string> = {};\n    fields.forEach(field => {\n      initialValues[field.valueKey] = \"\";\n    });\n    setConfigValues(initialValues);\n  };\n\n  // Detect missing tools in imported agents compared to available tools\n  const computeMissingTools = () => {\n    if (!initialData?.agent_info) {\n      setMissingTools([]);\n      return;\n    }\n\n    const availableNameSet = new Set<string>();\n    availableTools.forEach((tool) => {\n      if (tool.name) {\n        availableNameSet.add(tool.name.toLowerCase());\n      }\n      if (tool.origin_name) {\n        availableNameSet.add(tool.origin_name.toLowerCase());\n      }\n    });\n\n    const missingMap: Record<string, { name: string; source?: string; usage?: string; agents: Set<string> }> = {};\n\n    Object.entries(initialData.agent_info).forEach(([agentKey, agentInfo]) => {\n      const agentDisplayName = (agentInfo as any)?.display_name || (agentInfo as any)?.name || `${t(\"market.install.agent.defaultName\", \"Agent\")} ${agentKey}`;\n      if (Array.isArray((agentInfo as any)?.tools)) {\n        (agentInfo as any).tools.forEach((tool: any) => {\n          // Skip MCP tools as they will be handled in the MCP server installation step\n          const toolSource = (tool?.source || \"\").toLowerCase();\n          if (toolSource === \"mcp\") {\n            return;\n          }\n\n          const rawName = tool?.name || tool?.origin_name || tool?.class_name;\n          const name = typeof rawName === \"string\" ? rawName.trim() : \"\";\n          if (!name) return;\n          const key = name.toLowerCase();\n          if (availableNameSet.has(key)) return;\n\n          if (!missingMap[key]) {\n            missingMap[key] = {\n              name,\n              source: tool?.source,\n              usage: tool?.usage,\n              agents: new Set<string>(),\n            };\n          }\n          missingMap[key].agents.add(agentDisplayName);\n        });\n      }\n    });\n\n    const missingList = Object.values(missingMap).map((item) => ({\n      name: item.name,\n      source: item.source,\n      usage: item.usage,\n      agents: Array.from(item.agents),\n    }));\n\n    setMissingTools(missingList);\n  };\n\n  const parseMcpServers = async () => {\n    // Use mcp_info as the source of truth\n    if (!initialData?.mcp_info || initialData.mcp_info.length === 0) {\n      setMcpServers([]);\n      return;\n    }\n\n    setLoadingMcpServers(true);\n    try {\n      // Load existing MCP servers from system\n      const result = await getMcpServerList();\n      const existing = result.success ? result.data : [];\n      setExistingMcpServers(existing);\n\n      // Check each MCP server from mcp_info\n      const serversToInstall: McpServerToInstall[] = initialData.mcp_info.map((mcp: any) => {\n        const isUrlConfigNeeded = needsConfig(mcp.mcp_url);\n\n        // Check if already installed (match by both name and url)\n        const isInstalled = !isUrlConfigNeeded && existing.some(\n          (existingMcp: McpServer) =>\n            existingMcp.service_name === mcp.mcp_server_name &&\n            existingMcp.mcp_url === mcp.mcp_url\n        );\n\n        return {\n          mcp_server_name: mcp.mcp_server_name,\n          mcp_url: mcp.mcp_url,\n          isInstalled,\n          isUrlEditable: isUrlConfigNeeded,\n          editedUrl: isUrlConfigNeeded ? \"\" : mcp.mcp_url,\n        };\n      });\n\n      setMcpServers(serversToInstall);\n    } catch (error) {\n      log.error(\"Failed to check MCP servers:\", error);\n      message.error(t(\"market.install.error.checkMcp\", \"Failed to check MCP servers\"));\n    } finally {\n      setLoadingMcpServers(false);\n    }\n  };\n\n  const handleMcpUrlChange = (index: number, newUrl: string) => {\n    setMcpServers(prev => {\n      const updated = [...prev];\n      updated[index].editedUrl = newUrl;\n      return updated;\n    });\n  };\n\n  const handleInstallMcp = async (index: number) => {\n    const mcp = mcpServers[index];\n    const urlToUse = mcp.editedUrl || mcp.mcp_url;\n\n    if (!urlToUse || urlToUse.trim() === \"\") {\n      message.error(t(\"market.install.error.mcpUrlRequired\", \"MCP URL is required\"));\n      return;\n    }\n\n    const key = `${index}`;\n    setInstallingMcp(prev => ({ ...prev, [key]: true }));\n\n    try {\n      const result = await addMcpServer(urlToUse, mcp.mcp_server_name);\n      if (result.success) {\n        // After creating MCP server, refresh tool list and agent availability\n        await refreshToolsAndAgents();\n\n        message.success(t(\"market.install.success.mcpInstalled\", \"MCP server installed successfully\"));\n        // Mark as installed - update state directly without re-fetching\n        setMcpServers(prev => {\n          const updated = [...prev];\n          updated[index].isInstalled = true;\n          updated[index].editedUrl = urlToUse;\n          return updated;\n        });\n      } else {\n        message.error(result.message || t(\"market.install.error.mcpInstall\", \"Failed to install MCP server\"));\n      }\n    } catch (error) {\n      log.error(\"Failed to install MCP server:\", error);\n      message.error(t(\"market.install.error.mcpInstall\", \"Failed to install MCP server\"));\n    } finally {\n      setInstallingMcp(prev => ({ ...prev, [key]: false }));\n    }\n  };\n\n  const handleNext = () => {\n    const currentStepKey = steps[currentStep]?.key;\n\n    if (currentStepKey === \"rename\") {\n      // no mandatory name check\n    } else if (currentStepKey === \"model\") {\n      // Step 1: Model selection validation\n      if (modelSelectionMode === \"unified\") {\n        if (!selectedModelId || !selectedModelName) {\n          message.error(t(\"market.install.error.modelRequired\", \"Please select a model\"));\n          return;\n        }\n      } else {\n        // Individual mode: check all agents have models selected\n        const agentInfoMap = initialData?.agent_info;\n        if (agentInfoMap) {\n          const missingModels = Object.keys(agentInfoMap).filter(agentKey => {\n            const model = selectedModelsByAgent[agentKey];\n            return !model || !model.modelId || !model.modelName;\n          });\n          if (missingModels.length > 0) {\n            message.error(t(\"market.install.error.allModelsRequired\", \"Please select models for all agents\"));\n            return;\n          }\n        }\n      }\n    } else if (currentStepKey === \"config\") {\n      // Step 2: Config fields validation\n      const emptyFields = configFields.filter(field => !configValues[field.valueKey]?.trim());\n      if (emptyFields.length > 0) {\n        message.error(t(\"market.install.error.configRequired\", \"Please fill in all required fields\"));\n        return;\n      }\n    }\n\n    setCurrentStep(prev => prev + 1);\n  };\n\n  const handlePrevious = () => {\n    setCurrentStep(prev => prev - 1);\n  };\n\n  const handleImport = async () => {\n    // Check for potential issues that could make the agent unusable\n    const issues: string[] = [];\n\n    // Check for unresolved agent name conflicts\n    const unresolvedConflicts = Object.values(agentNameConflicts).filter(conflict => conflict.hasConflict);\n    if (unresolvedConflicts.length > 0) {\n      issues.push(t(\"market.install.warning.nameConflict\", \"Unresolved name conflicts exist\"));\n    }\n\n    // Check for uninstalled MCP servers\n    const uninstalledMcpServers = mcpServers.filter(mcp => !mcp.isInstalled);\n    if (uninstalledMcpServers.length > 0) {\n      const serverNames = uninstalledMcpServers.map(mcp => mcp.mcp_server_name);\n      issues.push(`${t(\"market.install.warning.mcpNotInstalled\", \"Uninstalled MCP services exist\")} : ${serverNames.join(\"、\")}`);\n    }\n\n    // If there are issues, show confirmation dialog\n      if (issues.length > 0) {\n      Modal.confirm({\n        width: 460,\n        icon: null,\n        title: (\n          <div className=\"flex items-center gap-2 ml-3\">\n            <AlertTriangle className=\"text-yellow-600\" size={18} />\n            <span className=\"text-base font-semibold text-gray-900 dark:text-gray-100\">\n              {t(\"market.install.warning.title\", \"Agent May Be Unusable\")}\n            </span>\n          </div>\n        ),\n        content: (\n          // Use full width inside modal and rely on modal width for overall sizing\n          <div className=\"w-full space-y-4\">\n            {/* Slight right indent for warning and question */}\n            <div className=\"ml-3\">\n              {/* Warning header - similar to rename step */}\n              <div className=\"bg-yellow-50 dark:bg-yellow-900/20 border border-yellow-200 dark:border-yellow-800 rounded-lg p-4 space-y-3 w-full\">\n              <p className=\"text-sm font-semibold text-yellow-800 dark:text-yellow-200\">\n                {t(\"market.install.warning.description\", \"The following issues may make the agent unusable:\")}\n              </p>\n              <div className=\"space-y-2\">\n                <ul className=\"list-disc list-inside text-sm text-gray-700 dark:text-gray-300 space-y-1\">\n                  {issues.map((issue, index) => (\n                    <li key={index}>{issue}</li>\n                  ))}\n                </ul>\n              </div>\n              </div>\n\n              {/* Question */}\n              <p className=\"text-sm text-gray-700 dark:text-gray-300 mt-2 ml-1\">\n                {t(\"market.install.warning.question\", \"Do you want to continue with the installation anyway?\")}\n              </p>\n            </div>\n          </div>\n        ),\n        okText: t(\"market.install.warning.continue\", \"Continue Anyway\"),\n        cancelText: t(\"market.install.warning.goBack\", \"Go Back to Configure\"),\n        cancelButtonProps: {\n          type: \"primary\",\n        },\n        okButtonProps: {\n          type: \"default\",\n        },\n        onOk: async () => {\n          await performImport();\n        },\n        onCancel: () => {\n          // Go back to the appropriate step\n          if (unresolvedConflicts.length > 0) {\n            setCurrentStep(steps.findIndex(step => step.key === \"rename\"));\n          } else if (uninstalledMcpServers.length > 0) {\n            setCurrentStep(steps.findIndex(step => step.key === \"mcp\"));\n          }\n        },\n      });\n      return;\n    }\n\n    // No issues found, proceed with import\n    await performImport();\n  };\n\n  const performImport = async () => {\n    try {\n      // Prepare the data structure for import\n      const importData = prepareImportData();\n\n      if (!importData) {\n        message.error(t(\"market.install.error.invalidData\", \"Invalid agent data\"));\n        return;\n      }\n\n      log.info(\"Importing agent with data:\", importData);\n\n      setIsImporting(true);\n      // Import using agentConfigService directly\n      const result = await importAgent(importData, { forceImport: false });\n      if (result.success) {\n        // Agents are automatically marked as NEW in the database during creation/import\n        queryClient.invalidateQueries({ queryKey: [\"agents\"] });\n        onImportComplete?.();\n        handleCancel(); // Close wizard after success\n      } else {\n        message.error(result.message || t(\"market.install.error.installFailed\", \"Failed to install agent\"));\n      }\n    } catch (error) {\n      log.error(\"Failed to install agent:\", error);\n      message.error(t(\"market.install.error.installFailed\", \"Failed to install agent\"));\n    } finally {\n      setIsImporting(false);\n    }\n  };\n\n  const prepareImportData = (): ImportAgentData | null => {\n    if (!initialData) return null;\n\n    // Clone agent data structure\n    const agentJson = JSON.parse(JSON.stringify(initialData));\n\n    // Preserve business logic model fields from initial data (passed from market)\n    const preservedBusinessLogicModelId = initialData.business_logic_model_id;\n    const preservedBusinessLogicModelName = initialData.business_logic_model_name;\n\n    // Update all agents' name/display_name if renamed\n    Object.entries(agentNameConflicts).forEach(([agentKey, conflict]) => {\n      if (agentJson.agent_info[agentKey]) {\n        if (conflict.renamedName) {\n          agentJson.agent_info[agentKey].name = conflict.renamedName;\n        }\n        if (conflict.renamedDisplayName) {\n          agentJson.agent_info[agentKey].display_name = conflict.renamedDisplayName;\n        }\n      }\n    });\n\n    // Update model information based on selection mode\n    if (modelSelectionMode === \"unified\") {\n      // Unified mode: apply selected model to all agents\n      Object.entries(agentJson.agent_info).forEach(([agentKey, agentInfo]: [string, any]) => {\n        agentInfo.model_id = selectedModelId;\n        agentInfo.model_name = selectedModelName;\n      });\n    } else {\n      // Individual mode: apply models to all agents\n      Object.entries(agentJson.agent_info).forEach(([agentKey, agentInfo]: [string, any]) => {\n        const modelSelection = selectedModelsByAgent[agentKey];\n        if (modelSelection && modelSelection.modelId && modelSelection.modelName) {\n          agentInfo.model_id = modelSelection.modelId;\n          agentInfo.model_name = modelSelection.modelName;\n        }\n      });\n    }\n\n    // Apply business logic model fields to all agents\n    Object.values(agentJson.agent_info).forEach((agentInfo: any) => {\n      agentInfo.business_logic_model_id = preservedBusinessLogicModelId ?? null;\n      agentInfo.business_logic_model_name = preservedBusinessLogicModelName ?? null;\n    });\n\n    // Update config fields for all agents (main + sub-agents)\n    configFields.forEach(field => {\n      const value = configValues[field.valueKey];\n      if (!value) return; // Skip empty values\n\n      // Find the target agent by agentKey\n      const targetAgentInfo = agentJson.agent_info[field.agentKey];\n      if (!targetAgentInfo) return;\n\n      if (field.fieldPath.includes(\"tools[\")) {\n        // Handle tool params\n        const match = field.fieldPath.match(/tools\\[(\\d+)\\]\\.params\\.(.+)/);\n        if (match && targetAgentInfo.tools) {\n          const toolIndex = parseInt(match[1]);\n          const paramKey = match[2];\n          if (targetAgentInfo.tools[toolIndex]) {\n            if (!targetAgentInfo.tools[toolIndex].params) {\n              targetAgentInfo.tools[toolIndex].params = {};\n            }\n            targetAgentInfo.tools[toolIndex].params[paramKey] = value;\n          }\n        }\n      } else {\n        // Handle basic fields\n        targetAgentInfo[field.fieldPath] = value;\n      }\n    });\n\n    // Update MCP info\n    if (agentJson.mcp_info) {\n      agentJson.mcp_info = agentJson.mcp_info.map((mcp: any) => {\n        const matchingServer = mcpServers.find(\n          s => s.mcp_server_name === mcp.mcp_server_name\n        );\n        if (matchingServer && matchingServer.editedUrl) {\n          return {\n            ...mcp,\n            mcp_url: matchingServer.editedUrl,\n          };\n        }\n        return mcp;\n      });\n    }\n\n    return agentJson;\n  };\n\n  const handleCancel = () => {\n    // Reset state\n    setCurrentStep(0);\n    setModelSelectionMode(\"unified\");\n    setSelectedModelId(null);\n    setSelectedModelName(\"\");\n    setSelectedModelsByAgent({});\n    setConfigFields([]);\n    setConfigValues({});\n    setMcpServers([]);\n    setIsImporting(false);\n    setAgentNameConflicts({});\n    agentNameConflictsRef.current = {};\n    setCheckingName(false);\n    setRegeneratingAll(false);\n    setSuccessfullyRenamedAgents(new Set());\n    if (nameCheckTimerRef.current) {\n      clearTimeout(nameCheckTimerRef.current);\n      nameCheckTimerRef.current = null;\n    }\n    onCancel();\n  };\n\n  // Filter only required steps for navigation\n  // Show rename step if name conflict check is complete and there are any agents that had conflicts\n  // (even if all conflicts are now resolved, we still want to show the step so users can see the success state)\n  const hasAnyAgentsWithConflicts = !checkingName && (\n    // Check if any agent has a current conflict\n    Object.values(agentNameConflicts).some(conflict => conflict.hasConflict) ||\n    // OR if any agent was successfully renamed (meaning it had a conflict that was resolved)\n    successfullyRenamedAgents.size > 0\n  );\n  const hasMissingTools = !loadingTools && missingTools.length > 0;\n  // Tools check should be the first step when there are missing tools\n  const steps = [\n    hasMissingTools && {\n      key: \"tools\",\n      title: t(\"market.install.step.missingTools\", \"Missing Tools\"),\n    },\n    hasAnyAgentsWithConflicts && {\n      key: \"rename\",\n      title: t(\"market.install.step.rename\", \"Rename Agent\"),\n    },\n    {\n      key: \"model\",\n      title: t(\"market.install.step.model\", \"Select Model\"),\n    },\n    configFields.length > 0 && {\n      key: \"config\",\n      title: t(\"market.install.step.config\", \"Configure Fields\"),\n    },\n    mcpServers.length > 0 && {\n      key: \"mcp\",\n      title: t(\"market.install.step.mcp\", \"MCP Servers\"),\n    },\n  ].filter(Boolean) as Array<{ key: string; title: string }>;\n\n  // Check if can proceed to next step\n  const canProceed = () => {\n    // Disable buttons while checking name conflict\n    if (checkingName) {\n      return false;\n    }\n\n    const currentStepKey = steps[currentStep]?.key;\n\n    if (currentStepKey === \"rename\") {\n      return true;\n    } else if (currentStepKey === \"tools\") {\n      return true;\n    } else if (currentStepKey === \"model\") {\n      if (modelSelectionMode === \"unified\") {\n        return selectedModelId !== null && selectedModelName !== \"\";\n      } else {\n        // Individual mode: check all agents have models\n        const agentInfoMap = initialData?.agent_info;\n        if (!agentInfoMap) return false;\n        return Object.keys(agentInfoMap).every(agentKey => {\n          const model = selectedModelsByAgent[agentKey];\n          return model && model.modelId && model.modelName;\n        });\n      }\n    } else if (currentStepKey === \"config\") {\n      return configFields.every(field => configValues[field.valueKey]?.trim());\n    } else if (currentStepKey === \"mcp\") {\n      // All non-editable MCPs should be installed or have edited URLs\n      return mcpServers.every(mcp =>\n        mcp.isInstalled ||\n        (mcp.isUrlEditable && mcp.editedUrl && mcp.editedUrl.trim() !== \"\") ||\n        (!mcp.isUrlEditable && mcp.mcp_url && mcp.mcp_url.trim() !== \"\")\n      );\n    }\n\n    return true;\n  };\n\n  const renderStepContent = () => {\n    // Show loading state while checking name conflict\n    if (checkingName) {\n      return (\n        <div className=\"flex items-center justify-center py-12\">\n          <Spin size=\"large\" />\n          <span className=\"ml-4 text-gray-600 dark:text-gray-400\">\n            {t(\"market.install.checkingName\", \"Checking agent name...\")}\n          </span>\n        </div>\n      );\n    }\n\n    const currentStepKey = steps[currentStep]?.key;\n\n    if (currentStepKey === \"rename\") {\n      // Get all agents that had conflicts (including resolved ones)\n      // Show all agents in agentNameConflicts - they either have conflicts or were successfully renamed\n      const allAgentsWithConflicts = Object.entries(agentNameConflicts)\n        .filter(([agentKey, conflict]) => {\n          // Show agent if:\n          // 1. It currently has a conflict, OR\n          // 2. It was successfully renamed (in successfullyRenamedAgents), OR\n          // 3. It's in agentNameConflicts (meaning it was checked and had a conflict at some point)\n          // We show all agents in agentNameConflicts to keep the UI consistent\n          return true; // Show all agents that were checked\n        })\n        .sort(([keyA], [keyB]) => {\n          // Main agent first\n          const mainAgentId = String(initialData?.agent_id);\n          if (keyA === mainAgentId) return -1;\n          if (keyB === mainAgentId) return 1;\n          return 0;\n        });\n\n      // Get agents that still have conflicts\n      const agentsWithConflicts = allAgentsWithConflicts.filter(\n        ([, conflict]) => conflict.hasConflict\n      );\n\n      // If no agents had conflicts at all, do not show rename step content\n      if (allAgentsWithConflicts.length === 0) {\n        return null;\n      }\n\n      // Check if all conflicts are resolved\n      const allConflictsResolved =\n        agentsWithConflicts.length === 0 && allAgentsWithConflicts.length > 0;\n      const hasResolvedAgents = allAgentsWithConflicts.some(\n        ([agentKey]) => successfullyRenamedAgents.has(agentKey)\n      );\n\n      return (\n        <div className=\"space-y-6\">\n          {allConflictsResolved ? (\n            <div className=\"bg-green-50 dark:bg-green-900/20 border border-green-200 dark:border-green-800 rounded-lg p-4 space-y-2\">\n              <div className=\"flex items-center gap-2\">\n                <CircleCheck className=\"text-green-600 dark:text-green-400 text-lg\" size={16} />\n                <p className=\"text-sm font-semibold text-green-800 dark:text-green-200\">\n                  {t(\n                    \"market.install.rename.success\",\n                    \"All agent name conflicts have been resolved. You can proceed to the next step.\"\n                  )}\n                </p>\n              </div>\n            </div>\n          ) : (\n            <div className=\"bg-yellow-50 dark:bg-yellow-900/20 border border-yellow-200 dark:border-yellow-800 rounded-lg p-4 space-y-2\">\n              {hasResolvedAgents && (\n                <div className=\"mb-2 pb-2 border-b border-yellow-300 dark:border-yellow-700\">\n                  <div className=\"flex items-center gap-2\">\n                    <CircleCheck className=\"text-green-600 dark:text-green-400 text-sm\" size={16} />\n                    <p className=\"text-xs text-green-700 dark:text-green-300\">\n                      {t(\n                        \"market.install.rename.partialSuccess\",\n                        \"Some agents have been successfully renamed.\"\n                      )}\n                    </p>\n                  </div>\n                </div>\n              )}\n              <p className=\"text-sm font-semibold text-yellow-800 dark:text-yellow-200\">\n                {t(\n                  \"market.install.rename.warning\",\n                  \"The agent name or display name conflicts with existing agents. Please rename to proceed.\"\n                )}\n              </p>\n              <p className=\"text-xs text-yellow-800 dark:text-yellow-200\">\n                {t(\n                  \"market.install.rename.oneClickDesc\",\n                  \"You can manually edit the names, or click one-click rename to let the selected model regenerate names for all conflicted agents.\"\n                )}\n              </p>\n              <p className=\"text-xs text-yellow-800 dark:text-yellow-200\">\n                {t(\n                  \"market.install.rename.note\",\n                  \"Note: If you proceed without renaming, the agent will be created but marked as unavailable due to name conflicts. You can rename it later in the agent list.\"\n                )}\n              </p>\n              <Button\n                type=\"primary\"\n                onClick={handleRegenerateAll}\n                loading={regeneratingAll}\n                disabled={regeneratingAll}\n              >\n                {t(\"market.install.rename.oneClick\", \"One-click Rename\")}\n              </Button>\n            </div>\n          )}\n\n          <div className=\"space-y-6\">\n            {allAgentsWithConflicts.map(([agentKey, conflict]) => {\n              const agentInfo = initialData?.agent_info?.[agentKey] as any;\n              const agentDisplayName =\n                agentInfo?.display_name ||\n                agentInfo?.name ||\n                `${t(\"market.install.agent.defaultName\", \"Agent\")} ${agentKey}`;\n              const isMainAgent = agentKey === String(initialData?.agent_id);\n              const originalName = agentInfo?.name || \"\";\n              const originalDisplayName = agentInfo?.display_name || \"\";\n\n              return (\n                <div\n                  key={agentKey}\n                  className=\"border border-gray-200 dark:border-gray-700 rounded-lg p-4 space-y-4\"\n                >\n                  <div className=\"flex items-center gap-2 mb-2\">\n                    <h4 className=\"text-base font-semibold text-gray-900 dark:text-gray-100\">\n                      {isMainAgent && (\n                        <span className=\"text-purple-600 dark:text-purple-400 mr-2\">\n                          {t(\"market.install.agent.main\", \"Main\")}\n                        </span>\n                      )}\n                      {agentDisplayName}\n                    </h4>\n                  </div>\n\n                  {successfullyRenamedAgents.has(agentKey) ? (\n                    <div className=\"bg-green-50 dark:bg-green-900/20 border border-green-200 dark:border-green-800 rounded p-2 mb-3\">\n                      <div className=\"flex items-center gap-2\">\n                        <CircleCheck className=\"text-green-600 dark:text-green-400 text-sm\" size={16} />\n                        <p className=\"text-xs text-green-700 dark:text-green-300\">\n                          {t(\n                            \"market.install.rename.agentResolved\",\n                            \"This agent's name conflict has been resolved.\"\n                          )}\n                        </p>\n                      </div>\n                    </div>\n                  ) : (\n                    conflict.hasConflict &&\n                    conflict.conflictAgents.length > 0 && (\n                      <div className=\"bg-red-50 dark:bg-red-900/20 border border-red-200 dark:border-red-800 rounded p-2 mb-3\">\n                        <p className=\"text-xs text-red-700 dark:text-red-300 mb-1\">\n                          {t(\n                            \"market.install.rename.conflictAgents\",\n                            \"Conflicting agents:\"\n                          )}\n                        </p>\n                        <ul className=\"list-disc list-inside text-xs text-red-700 dark:text-red-300\">\n                          {conflict.conflictAgents.map(\n                            (agent: { name?: string; display_name?: string }, idx: number) => (\n                              <li key={idx}>\n                                {[agent.name, agent.display_name]\n                                  .filter(Boolean)\n                                  .join(\" / \")}\n                              </li>\n                            )\n                          )}\n                        </ul>\n                      </div>\n                    )\n                  )}\n\n                  <div>\n                    <label className=\"text-sm font-medium text-gray-700 dark:text-gray-300 mb-2 block\">\n                      {t(\"market.install.rename.name\", \"Agent Name\")}\n                    </label>\n                    <Input\n                      value={conflict.renamedName}\n                      onChange={(e) => {\n                        const newName = e.target.value;\n                        setAgentNameConflicts((prev) => {\n                          const updated = {\n                            ...prev,\n                            [agentKey]: {\n                              ...prev[agentKey],\n                              renamedName: newName,\n                            },\n                          };\n\n                          // Clear existing timer\n                          if (nameCheckTimerRef.current) {\n                            clearTimeout(nameCheckTimerRef.current);\n                          }\n\n                          // Set new timer for debounced check (500ms delay)\n                          nameCheckTimerRef.current = setTimeout(() => {\n                            // Read latest value from ref when timer fires\n                            const currentConflict =\n                              agentNameConflictsRef.current[agentKey];\n                            if (currentConflict) {\n                              checkSingleAgentConflict(\n                                agentKey,\n                                currentConflict.renamedName,\n                                currentConflict.renamedDisplayName\n                              );\n                            }\n                          }, 500);\n\n                          agentNameConflictsRef.current = updated;\n                          return updated;\n                        });\n                      }}\n                      placeholder={originalName}\n                      size=\"large\"\n                      disabled={regeneratingAll}\n                    />\n                  </div>\n\n                  <div>\n                    <label className=\"text-sm font-medium text-gray-700 dark:text-gray-300 mb-2 block\">\n                      {t(\"market.install.rename.displayName\", \"Display Name\")}\n                    </label>\n                    <Input\n                      value={conflict.renamedDisplayName}\n                      onChange={(e) => {\n                        const newDisplayName = e.target.value;\n                        setAgentNameConflicts((prev) => {\n                          const updated = {\n                            ...prev,\n                            [agentKey]: {\n                              ...prev[agentKey],\n                              renamedDisplayName: newDisplayName,\n                            },\n                          };\n\n                          // Clear existing timer\n                          if (nameCheckTimerRef.current) {\n                            clearTimeout(nameCheckTimerRef.current);\n                          }\n\n                          // Set new timer for debounced check (500ms delay)\n                          nameCheckTimerRef.current = setTimeout(() => {\n                            // Read latest value from ref when timer fires\n                            const currentConflict =\n                              agentNameConflictsRef.current[agentKey];\n                            if (currentConflict) {\n                              checkSingleAgentConflict(\n                                agentKey,\n                                currentConflict.renamedName,\n                                currentConflict.renamedDisplayName\n                              );\n                            }\n                          }, 500);\n\n                          agentNameConflictsRef.current = updated;\n                          return updated;\n                        });\n                      }}\n                      placeholder={originalDisplayName}\n                      size=\"large\"\n                      disabled={regeneratingAll}\n                    />\n                  </div>\n                </div>\n              );\n            })}\n          </div>\n        </div>\n      );\n    } else if (currentStepKey === \"tools\") {\n      return (\n        <div className=\"space-y-4\">\n          {/* Top-level warning, keep same yellow style as rename step */}\n          <div className=\"bg-yellow-50 dark:bg-yellow-900/20 border border-yellow-200 dark:border-yellow-800 rounded-lg p-4 space-y-2\">\n            <p className=\"text-sm font-semibold text-yellow-800 dark:text-yellow-200\">\n              {t(\n                \"market.install.tools.missingDescTitle\",\n                \"The imported agent uses tools that do not exist in this system\"\n              )}\n            </p>\n            <p className=\"text-xs text-yellow-800 dark:text-yellow-200\">\n              {t(\n                \"market.install.tools.missingDescBody\",\n                \"Please review the missing tools below and install or configure them first. If you continue without fixing them, the agent may not work correctly or some capabilities may be unavailable.\"\n              )}\n            </p>\n          </div>\n\n          {loadingTools ? (\n            <div className=\"flex items-center justify-center py-8\">\n              <Spin />\n              <span className=\"ml-3 text-gray-600 dark:text-gray-300\">\n                {t(\"market.install.tools.loading\", \"Loading tools...\")}\n              </span>\n            </div>\n          ) : (\n            <div className=\"space-y-3\">\n              {missingTools.map((tool, idx) => (\n                <div\n                  key={`${tool.name}-${idx}`}\n                  className=\"border border-red-200 dark:border-red-800 bg-red-50 dark:bg-red-900/20 rounded-lg p-4\"\n                >\n                  <div className=\"flex items-center justify-between gap-2 mb-2\">\n                    <div className=\"flex items-center gap-2\">\n                      <Wrench className=\"text-red-500\" size={18} />\n                      <span className=\"font-medium text-gray-900 dark:text-gray-100\">\n                        {tool.name}\n                      </span>\n                    </div>\n                    {tool.source && (\n                      <Tag color=\"gold\" className=\"text-xs\">\n                        {t(\"market.install.tools.source\", \"Source\")}:{\" \"}\n                        {tool.source}\n                      </Tag>\n                    )}\n                  </div>\n                  {tool.usage && (\n                    <p className=\"text-xs text-gray-700 dark:text-gray-300 mb-2\">\n                      {t(\"market.install.tools.usage\", \"Usage\")}: {tool.usage}\n                    </p>\n                  )}\n                  {tool.agents && tool.agents.length > 0 && (\n                    <p className=\"text-xs text-gray-600 dark:text-gray-400\">\n                      {t(\"market.install.tools.usedBy\", \"Used by\")}:{\" \"}\n                      {tool.agents.join(\", \")}\n                    </p>\n                  )}\n                  <p className=\"text-xs text-amber-700 dark:text-amber-200 mt-2\">\n                    {t(\n                      \"market.install.tools.missingHint\",\n                      \"If you continue without installing or configuring this tool, the agent may lose part of its capabilities or fail when calling this tool.\"\n                    )}\n                  </p>\n                </div>\n              ))}\n            </div>\n          )}\n        </div>\n      );\n    } else if (currentStepKey === \"model\") {\n      return (\n        <div className=\"space-y-6\">\n          {/* Agent Info - Title and Description Style */}\n          {(agentDisplayName || agentDescription) && (\n            <div className=\"bg-gradient-to-r from-purple-50 to-indigo-50 dark:from-purple-900/20 dark:to-indigo-900/20 rounded-lg p-6 border border-purple-100 dark:border-purple-800\">\n              {agentDisplayName && (\n                <h3 className=\"text-xl font-bold text-purple-900 dark:text-purple-100 mb-2\">\n                  {agentDisplayName}\n                </h3>\n              )}\n              {agentDescription && (\n                <p className=\"text-sm text-gray-700 dark:text-gray-300 leading-relaxed\">\n                  {agentDescription}\n                </p>\n              )}\n            </div>\n          )}\n\n          <div className=\"space-y-4\">\n            {/* Model selection mode toggle */}\n            <div>\n              <label className=\"text-sm font-medium text-gray-700 dark:text-gray-300 mb-2 block\">\n                {t(\"market.install.model.mode\", \"Model Selection Mode\")}\n              </label>\n              <Radio.Group\n                value={modelSelectionMode}\n                onChange={(e) => {\n                  setModelSelectionMode(e.target.value);\n                  // Reset selections when switching modes\n                  if (e.target.value === \"unified\") {\n                    setSelectedModelsByAgent({});\n                  } else {\n                    setSelectedModelId(null);\n                    setSelectedModelName(\"\");\n                    initializeModelSelection();\n                  }\n                }}\n                className=\"w-full\"\n              >\n                <Radio value=\"unified\">\n                  {t(\"market.install.model.mode.unified\", \"Unified: Use one model for all agents\")}\n                </Radio>\n                <Radio value=\"individual\">\n                  {t(\"market.install.model.mode.individual\", \"Individual: Select model for each agent\")}\n                </Radio>\n              </Radio.Group>\n            </div>\n\n            {modelSelectionMode === \"unified\" ? (\n              // Unified mode: single model selection for all agents\n              <div>\n                <p className=\"text-sm text-gray-600 dark:text-gray-400 mb-4\">\n                  {t(\"market.install.model.description.unified\", \"Select a model from your configured models. This model will be applied to all agents (main agent and sub-agents).\")}\n                </p>\n\n                <div className=\"flex items-center gap-3\">\n                  <label className=\"text-sm font-medium text-gray-700 dark:text-gray-300 whitespace-nowrap\">\n                    {t(\"market.install.model.label\", \"Model\")}\n                    <span className=\"text-red-500 ml-1\">*</span>\n                  </label>\n                  <div className=\"flex-1\">\n                    {loadingModels ? (\n                      <Spin />\n                    ) : (\n                      <Select\n                        value={selectedModelName || undefined}\n                        onChange={(value, option) => {\n                          const modelId = option && 'key' in option ? Number(option.key) : null;\n                          setSelectedModelName(value);\n                          setSelectedModelId(modelId);\n                        }}\n                        size=\"large\"\n                        style={{ width: \"100%\" }}\n                        placeholder={t(\"market.install.model.placeholder\", \"Select a model\")}\n                      >\n                        {llmModels.map((model) => (\n                          <Select.Option key={model.id} value={model.displayName}>\n                            {model.displayName}\n                          </Select.Option>\n                        ))}\n                      </Select>\n                    )}\n                  </div>\n                </div>\n\n                {llmModels.length === 0 && !loadingModels && (\n                  <div className=\"text-sm text-red-600 mt-2\">\n                    {t(\"market.install.model.noModels\", \"No available models. Please configure models first.\")}\n                  </div>\n                )}\n              </div>\n            ) : (\n              // Individual mode: model selection for each agent\n              <div>\n                <p className=\"text-sm text-gray-600 dark:text-gray-400 mb-4\">\n                  {t(\"market.install.model.description.individual\", \"Select a model for each agent (main agent and sub-agents).\")}\n                </p>\n\n                {initialData?.agent_info && (() => {\n                  // Sort agents: main agent first, then sub-agents\n                  const agentEntries = Object.entries(initialData.agent_info as Record<string, any>);\n                  const mainAgentKey = String(initialData.agent_id);\n                  const sortedEntries = agentEntries.sort(([keyA], [keyB]) => {\n                    if (keyA === mainAgentKey) return -1;\n                    if (keyB === mainAgentKey) return 1;\n                    return 0;\n                  });\n\n                  return (\n                    <div className=\"space-y-4\">\n                      {sortedEntries.map(([agentKey, agentInfo]: [string, any]) => {\n                        const agentDisplayName = agentInfo.display_name || agentInfo.name || `${t(\"market.install.agent.defaultName\", \"Agent\")} ${agentKey}`;\n                        const isMainAgent = agentKey === mainAgentKey;\n                        const currentSelection = selectedModelsByAgent[agentKey] || { modelId: null, modelName: \"\" };\n\n                        return (\n                          <div\n                            key={agentKey}\n                            className={`border rounded-lg p-4 ${\n                              isMainAgent\n                                ? \"bg-blue-50 dark:bg-blue-900/20 border-blue-200 dark:border-blue-800\"\n                                : \"border-gray-200 dark:border-gray-700\"\n                            }`}\n                          >\n                            <div className=\"flex items-center gap-2 mb-3\">\n                              <label className=\"text-sm font-medium text-gray-700 dark:text-gray-300\">\n                                {agentDisplayName}\n                              </label>\n                              {isMainAgent && (\n                                <Tag color=\"blue\" className=\"text-xs\">\n                                  {t(\"market.install.agent.main\", \"Main\")}\n                                </Tag>\n                              )}\n                            </div>\n                            <div className=\"flex items-center gap-3\">\n                              <label className=\"text-sm text-gray-600 dark:text-gray-400 whitespace-nowrap\">\n                                {t(\"market.install.model.label\", \"Model\")}\n                                <span className=\"text-red-500 ml-1\">*</span>\n                              </label>\n                              <div className=\"flex-1\">\n                                {loadingModels ? (\n                                  <Spin />\n                                ) : (\n                                  <Select\n                                    value={currentSelection.modelName || undefined}\n                                    onChange={(value, option) => {\n                                      const modelId = option && 'key' in option ? Number(option.key) : null;\n                                      setSelectedModelsByAgent(prev => ({\n                                        ...prev,\n                                        [agentKey]: { modelId, modelName: value },\n                                      }));\n                                    }}\n                                    size=\"large\"\n                                    style={{ width: \"100%\" }}\n                                    placeholder={t(\"market.install.model.placeholder\", \"Select a model\")}\n                                  >\n                                    {llmModels.map((model) => (\n                                      <Select.Option key={model.id} value={model.displayName}>\n                                        {model.displayName}\n                                      </Select.Option>\n                                    ))}\n                                  </Select>\n                                )}\n                              </div>\n                            </div>\n                          </div>\n                        );\n                      })}\n                    </div>\n                  );\n                })()}\n\n                {llmModels.length === 0 && !loadingModels && (\n                  <div className=\"text-sm text-red-600 mt-2\">\n                    {t(\"market.install.model.noModels\", \"No available models. Please configure models first.\")}\n                  </div>\n                )}\n              </div>\n            )}\n          </div>\n        </div>\n      );\n    } else if (currentStepKey === \"config\") {\n      // Group config fields by agent first, then by tool within each agent\n      const groupedFields = configFields.reduce((acc, field) => {\n        if (!acc[field.agentKey]) {\n          acc[field.agentKey] = {\n            agentDisplayName: field.agentDisplayName,\n            tools: {} as Record<string, { toolName: string; fields: ConfigField[] }>,\n            basicFields: [] as ConfigField[]\n          };\n        }\n\n        // Parse fieldPath to determine if it's a tool parameter or basic field\n        const toolMatch = field.fieldPath.match(/^tools\\[(\\d+)\\]\\.params\\.(.+)$/);\n\n        if (toolMatch) {\n          // It's a tool parameter\n          const toolIndex = parseInt(toolMatch[1]);\n          const toolKey = `tool_${toolIndex}`;\n\n          // Get tool info from agent data\n          const agentInfo = initialData?.agent_info?.[field.agentKey];\n          const tool = agentInfo?.tools?.[toolIndex];\n          const toolName = tool?.name || tool?.class_name || `Tool ${toolIndex}`;\n\n          if (!acc[field.agentKey].tools[toolKey]) {\n            acc[field.agentKey].tools[toolKey] = {\n              toolName,\n              fields: []\n            };\n          }\n          acc[field.agentKey].tools[toolKey].fields.push(field);\n        } else {\n          // It's a basic field\n          acc[field.agentKey].basicFields.push(field);\n        }\n\n        return acc;\n      }, {} as Record<string, {\n        agentDisplayName: string;\n        tools: Record<string, { toolName: string; fields: ConfigField[] }>;\n        basicFields: ConfigField[];\n      }>);\n\n      return (\n        <div className=\"space-y-4\">\n          <p className=\"text-sm text-gray-600 dark:text-gray-400 mb-4\">\n            {t(\"market.install.config.description\", \"Please configure the following required fields for this agent and its sub-agents.\")}\n          </p>\n\n          {Object.keys(groupedFields).length > 0 ? (\n            <div className=\"space-y-6\">\n              {Object.entries(groupedFields)\n                .sort(([keyA], [keyB]) => {\n                  // Main agent first\n                  const mainAgentId = String(initialData?.agent_id);\n                  if (keyA === mainAgentId) return -1;\n                  if (keyB === mainAgentId) return 1;\n                  return 0;\n                })\n                .map(([agentKey, agentGroup]) => (\n                <div\n                  key={agentKey}\n                  className=\"border border-gray-200 dark:border-gray-700 rounded-lg p-4 space-y-4\"\n                >\n                  {/* Agent Header */}\n                  <div className=\"flex items-center gap-2 mb-2\">\n                    <h4 className=\"text-base font-semibold text-gray-900 dark:text-gray-100\">\n                      {agentKey === String(initialData?.agent_id) && (\n                        <span className=\"text-purple-600 dark:text-purple-400 mr-2\">\n                          {t(\"market.install.agent.main\", \"Main\")}\n                        </span>\n                      )}\n                      {agentGroup.agentDisplayName}\n                    </h4>\n                  </div>\n\n                  {/* Basic Fields */}\n                  {agentGroup.basicFields.length > 0 && (\n                    <>\n                      <div className=\"flex items-center gap-2 mb-2\">\n                        <span className=\"text-sm font-medium text-gray-700 dark:text-gray-300\">\n                          {t(\"market.install.config.basicFields\", \"Basic Configuration\")}\n                        </span>\n                      </div>\n                      <div className=\"space-y-3 ml-4\">\n                        {agentGroup.basicFields.map((field) => {\n                          const paramLabel = field.fieldLabel.replace(`${agentGroup.agentDisplayName} - `, \"\");\n                          return (\n                            <div key={field.valueKey}>\n                              <div className=\"flex items-center gap-2 mb-2\">\n                                <span className=\"text-sm text-gray-600 dark:text-gray-400 whitespace-nowrap\">\n                                  {paramLabel}:\n                                </span>\n                                <Input\n                                  value={configValues[field.valueKey] || \"\"}\n                                  onChange={(e) => {\n                                    setConfigValues(prev => ({\n                                      ...prev,\n                                      [field.valueKey]: e.target.value,\n                                    }));\n                                  }}\n                                  placeholder={t(\"market.install.config.placeholderWithParam\", { param: paramLabel })}\n                                  size=\"middle\"\n                                  style={{ flex: 1 }}\n                                  className={needsConfig(field.currentValue) ? \"bg-gray-50 dark:bg-gray-800\" : \"\"}\n                                />\n                              </div>\n                              {/* Show hint with clickable links if available */}\n                              {field.promptHint && (\n                                <div className=\"mt-1 text-xs text-gray-500 dark:text-gray-400 max-w-md\">\n                                  <span className=\"text-gray-600 dark:text-gray-400 inline-flex flex-wrap items-center gap-1\">\n                                    {parseMarkdownLinks(field.promptHint)}\n                                  </span>\n                                </div>\n                              )}\n                            </div>\n                          );\n                        })}\n                      </div>\n                    </>\n                  )}\n\n                  {/* Tools */}\n                  {Object.entries(agentGroup.tools).map(([toolKey, toolGroup]) => (\n                    <div key={toolKey} className=\"space-y-3\">\n                      {/* Tool Header */}\n                      <div className=\"flex items-center gap-2\">\n                        <Wrench className=\"h-4 w-4 text-blue-500\" />\n                        <span className=\"text-base font-semibold text-gray-900 dark:text-gray-100\">\n                          {toolGroup.toolName}\n                        </span>\n                      </div>\n\n                      {/* Tool Parameters */}\n                      <div className=\"space-y-3 ml-6\">\n                        {toolGroup.fields.map((field) => {\n                          const toolMatch = field.fieldPath.match(/^tools\\[\\d+\\]\\.params\\.(.+)$/);\n                          const paramKey = toolMatch ? toolMatch[1] : field.fieldPath;\n                          const paramLabel = paramKey.replace(/_/g, ' ').replace(/\\b\\w/g, l => l.toUpperCase());\n\n                          return (\n                            <div key={field.valueKey}>\n                              <div className=\"flex items-center gap-2 mb-2\">\n                                <span className=\"text-sm text-gray-600 dark:text-gray-400 whitespace-nowrap\">\n                                  {paramLabel}:\n                                </span>\n                                <Input\n                                  value={configValues[field.valueKey] || \"\"}\n                                  onChange={(e) => {\n                                    setConfigValues(prev => ({\n                                      ...prev,\n                                      [field.valueKey]: e.target.value,\n                                    }));\n                                  }}\n                                  placeholder={t(\"market.install.config.placeholderWithParam\", { param: paramLabel })}\n                                  size=\"middle\"\n                                  style={{ flex: 1 }}\n                                  className={needsConfig(field.currentValue) ? \"bg-gray-50 dark:bg-gray-800\" : \"\"}\n                                />\n                              </div>\n                              {/* Show hint with clickable links if available */}\n                              {field.promptHint && (\n                                <div className=\"mt-1 text-xs text-gray-500 dark:text-gray-400 max-w-md\">\n                                  <span className=\"text-gray-600 dark:text-gray-400 inline-flex flex-wrap items-center gap-1\">\n                                    {parseMarkdownLinks(field.promptHint)}\n                                  </span>\n                                </div>\n                              )}\n                            </div>\n                          );\n                        })}\n                      </div>\n                    </div>\n                  ))}\n                </div>\n              ))}\n            </div>\n          ) : (\n            <p className=\"text-sm text-gray-500 text-center py-4\">\n              {t(\"market.install.config.noFields\", \"No configuration fields required.\")}\n            </p>\n          )}\n        </div>\n      );\n    } else if (currentStepKey === \"mcp\") {\n      return (\n        <div className=\"space-y-4\">\n          <p className=\"text-sm text-gray-600 dark:text-gray-400 mb-4\">\n            {t(\"market.install.mcp.description\", \"This agent requires the following MCP servers. Please install or configure them.\")}\n          </p>\n\n          {loadingMcpServers ? (\n            <div className=\"text-center py-8\">\n              <Spin />\n            </div>\n          ) : (\n            <div className=\"space-y-3\">\n              {mcpServers.map((mcp, index) => (\n                <div\n                  key={`${mcp.mcp_server_name}-${index}`}\n                  className=\"border border-gray-200 dark:border-gray-700 rounded-lg p-4\"\n                >\n                  <div className=\"flex items-center justify-between w-full gap-4 mb-3\">\n                    <div className=\"flex items-center gap-2\">\n                      <span className=\"font-medium text-base\">\n                        {mcp.mcp_server_name}\n                      </span>\n                      {mcp.isInstalled ? (\n                        <Tag\n                          icon={<CircleCheck size={14} />}\n                          color=\"success\"\n                          className=\"inline-flex items-center gap-1 text-xs\"\n                        >\n                          {t(\"market.install.mcp.installed\", \"Installed\")}\n                        </Tag>\n                      ) : (\n                        <Tag\n                          icon={<CircleX size={14} />}\n                          color=\"default\"\n                          className=\"inline-flex items-center gap-1 text-xs\"\n                        >\n                          {t(\"market.install.mcp.notInstalled\", \"Not Installed\")}\n                        </Tag>\n                      )}\n                    </div>\n\n                    {!mcp.isInstalled && (\n                      <Button\n                        type=\"primary\"\n                        size=\"middle\"\n                        icon={<Plus size={16} />}\n                        onClick={() => handleInstallMcp(index)}\n                        loading={installingMcp[String(index)]}\n                        disabled={!mcp.editedUrl || mcp.editedUrl.trim() === \"\"}\n                        className=\"flex-shrink-0\"\n                      >\n                        {t(\"market.install.mcp.install\", \"Install\")}\n                      </Button>\n                    )}\n                  </div>\n\n                  <div className=\"flex flex-col gap-2\">\n                    <div className=\"flex items-center gap-2\">\n                      <span className=\"text-sm text-gray-600 dark:text-gray-400 whitespace-nowrap\">\n                        MCP URL:\n                      </span>\n                      {(mcp.isUrlEditable || !mcp.isInstalled) ? (\n                        <Input\n                          value={mcp.editedUrl || \"\"}\n                          onChange={(e) => handleMcpUrlChange(index, e.target.value)}\n                          placeholder={mcp.isUrlEditable\n                            ? t(\"market.install.mcp.urlPlaceholder\", \"Enter MCP server URL\")\n                            : mcp.mcp_url\n                          }\n                          size=\"middle\"\n                          disabled={mcp.isInstalled}\n                          style={{ maxWidth: \"400px\" }}\n                          className={mcp.isUrlEditable && needsConfig(mcp.mcp_url) ? \"bg-gray-100 dark:bg-gray-800\" : \"\"}\n                        />\n                      ) : (\n                        <span className=\"text-sm text-gray-700 dark:text-gray-300 break-all\">\n                          {mcp.editedUrl || mcp.mcp_url}\n                        </span>\n                      )}\n                    </div>\n                    {/* Show hint if URL needs configuration */}\n                    {mcp.isUrlEditable && needsConfig(mcp.mcp_url) && (() => {\n                      const hint = extractPromptHint(mcp.mcp_url);\n                      const hintText = hint || t(\"market.install.mcp.defaultConfigHint\", \"Please enter the MCP server URL\");\n                      return (\n                        <div className=\"ml-0 text-xs text-gray-500 dark:text-gray-400 max-w-md\">\n                          <span className=\"text-gray-600 dark:text-gray-400 inline-flex flex-wrap items-center gap-1\">\n                            {parseMarkdownLinks(hintText)}\n                          </span>\n                        </div>\n                      );\n                    })()}\n                  </div>\n                </div>\n              ))}\n            </div>\n          )}\n        </div>\n      );\n    }\n\n    return null;\n  };\n\n  const isLastStep = currentStep === steps.length - 1;\n\n  return (\n    <Modal\n      title={\n        <div className=\"flex items-center gap-2\">\n          <Download size={20} />\n          <span>{title || t(\"market.install.title\", \"Install Agent\")}</span>\n        </div>\n      }\n      open={visible}\n      onCancel={handleCancel}\n      width={800}\n      footer={\n        <div className=\"flex justify-between\">\n          <Button onClick={handleCancel}>\n            {t(\"common.cancel\", \"Cancel\")}\n          </Button>\n          <Space>\n            {currentStep > 0 && (\n              <Button onClick={handlePrevious}>\n                {t(\"market.install.button.previous\", \"Previous\")}\n              </Button>\n            )}\n            {!isLastStep && (\n              <Button\n                type=\"primary\"\n                onClick={handleNext}\n                disabled={!canProceed()}\n              >\n                {t(\"market.install.button.next\", \"Next\")}\n              </Button>\n            )}\n            {isLastStep && (\n              <Button\n                type=\"primary\"\n                onClick={handleImport}\n                disabled={!canProceed()}\n                loading={isImporting}\n                icon={<Download size={16} />}\n              >\n                {isImporting\n                  ? t(\"market.install.button.installing\", \"Installing...\")\n                  : t(\"market.install.button.install\", \"Install\")}\n              </Button>\n            )}\n          </Space>\n        </div>\n      }\n    >\n      <div className=\"py-4\">\n        <Steps\n          current={currentStep}\n          items={steps.map(step => ({\n            title: step.title,\n          }))}\n          className=\"mb-6\"\n        />\n\n        <div className=\"min-h-[300px] max-h-[70vh] overflow-y-auto pr-1\">\n          {renderStepContent()}\n        </div>\n      </div>\n    </Modal>\n  );\n}\n\n"
  },
  {
    "path": "frontend/components/auth/AuthDialogs.tsx",
    "content": "\"use client\";\n\nimport { useTranslation } from \"react-i18next\";\nimport { Modal, Button } from \"antd\";\nimport { GithubOutlined } from \"@ant-design/icons\";\nimport { ExclamationCircleOutlined } from \"@ant-design/icons\";\nimport { UserPlus, LogIn } from \"lucide-react\";\nimport Image from \"next/image\";\n\nimport { useAuthenticationContext } from \"@/components/providers/AuthenticationProvider\";\nimport { useAuthorizationContext } from \"@/components/providers/AuthorizationProvider\";\n\n/**\n * Authentication dialogs component\n * Contains login prompt, permission denied, and session expired modals\n */\nexport function AuthDialogs() {\n  const { t } = useTranslation(\"common\");\n\n  const {\n    isAuthPromptModalOpen,\n    isSessionExpiredModalOpen,\n    closeSessionExpiredModal,\n    closeAuthPromptModal,\n    openLoginModal,\n    openRegisterModal,\n  } = useAuthenticationContext();\n\n  const {\n    isAuthzPromptModalOpen,\n    closeAuthzPromptModal,\n  } = useAuthorizationContext();\n\n  return (\n    <>\n      {/* Login prompt dialog - shown when user is not authenticated */}\n      <Modal\n        open={isAuthPromptModalOpen}\n        onCancel={closeAuthPromptModal}\n        footer={null}\n        centered\n        closable\n        width={480}\n        maskClosable={false}\n      >\n        <div className=\"relative bg-white p-4 rounded-2xl\">\n          {/* Logo */}\n          <div className=\"flex justify-center mb-6\">\n            <Image\n              src=\"/modelengine-logo.png\"\n              alt=\"ModelEngine Logo\"\n              width={80}\n              height={80}\n              className=\"object-contain\"\n            />\n          </div>\n\n          {/* Title */}\n          <h2 className=\"text-3xl font-bold text-center mb-2 text-gray-900\">\n            {t(\"page.loginPrompt.title\")}\n          </h2>\n\n          {/* Subtitle */}\n          <p className=\"text-center text-gray-500 mb-8 mt-4 ml-10 mr-10 text-sm\">\n            {t(\n              \"A powerful AI agent platform for intelligent conversations and automation\"\n            )}\n          </p>\n\n          {/* Action buttons */}\n          <div className=\"flex flex-col gap-3 mb-6\">\n            {/* Login button */}\n            <Button\n              onClick={() => {\n                closeAuthPromptModal();\n                openLoginModal();\n              }}\n              className=\"w-full h-12 rounded-lg font-medium flex items-center justify-center gap-2 shadow-sm\"\n              size=\"large\"\n              type=\"primary\"\n            >\n              <LogIn className=\"h-5 w-5\" />\n              {t(\"page.loginPrompt.login\")}\n            </Button>\n\n            {/* Register button */}\n            <Button\n              onClick={() => {\n                closeAuthPromptModal();\n                openRegisterModal();\n              }}\n              type=\"default\"\n              className=\"w-full h-12 border border-gray-300 rounded-lg font-medium flex items-center justify-center gap-2\"\n              size=\"large\"\n            >\n              <UserPlus className=\"h-5 w-5\" />\n              {t(\"page.loginPrompt.register\")}\n            </Button>\n          </div>\n\n          {/* GitHub support */}\n          <div className=\"flex items-center justify-center gap-2 text-gray-500 text-sm\">\n            <GithubOutlined className=\"text-base\" />\n            <a\n              href=\"https://github.com/ModelEngine-Group/nexent\"\n              target=\"_blank\"\n              rel=\"noopener noreferrer\"\n            >\n              {t(\"page.loginPrompt.githubSupport\")}\n            </a>\n            <span></span>\n          </div>\n        </div>\n      </Modal>\n\n      {/* Permission denied dialog - shown when user is not authorized */}\n      <Modal\n        title={t(\"page.permissionDenied.title\")}\n        open={isAuthzPromptModalOpen}\n        onCancel={closeAuthzPromptModal}\n        footer={[\n          <Button key=\"confirm\" onClick={closeAuthzPromptModal} type=\"primary\">\n            {t(\"common.confirm\")}\n          </Button>,\n        ]}\n        centered\n        closable={false}\n      >\n        <div style={{ display: \"flex\", alignItems: \"center\", gap: \"8px\" }}>\n          <ExclamationCircleOutlined\n            style={{ color: \"#faad14\", fontSize: \"20px\" }}\n          />\n          <span>{t(\"page.permissionDenied.content\")}</span>\n        </div>\n      </Modal>\n\n      {/* Session expired dialog - shown when user session has expired */}\n      <Modal\n        title={t(\"login.expired.title\")}\n        open={isSessionExpiredModalOpen}\n        onOk={() => {\n          closeSessionExpiredModal();\n          openLoginModal();\n        }}\n        onCancel={closeSessionExpiredModal}\n        okText={t(\"login.expired.okText\")}\n        cancelText={t(\"login.expired.cancelText\")}\n        centered\n        closable={false}\n        okButtonProps={{ type: \"primary\" }}\n      >\n        <div style={{ display: \"flex\", alignItems: \"center\", gap: \"8px\" }}>\n          <ExclamationCircleOutlined\n            style={{ color: \"#faad14\", fontSize: \"20px\" }}\n          />\n          <span>{t(\"login.expired.content\")}</span>\n        </div>\n      </Modal>\n    </>\n  );\n}\n"
  },
  {
    "path": "frontend/components/auth/DeleteAccountModal.tsx",
    "content": "\"use client\";\n\nimport React from \"react\";\nimport { useTranslation } from \"react-i18next\";\nimport { Modal, Alert, Space, Typography } from \"antd\";\nimport { AlertTriangle } from \"lucide-react\";\n\nconst { Text, Paragraph } = Typography;\n\ninterface DeleteAccountModalProps {\n  open: boolean;\n  onOk: () => void;\n  onCancel: () => void;\n  loading?: boolean;\n  disabled?: boolean;\n}\n\n/**\n * DeleteAccountModal - Shared component for account deletion confirmation\n *\n * Features:\n * - Warning message about permanent deletion\n * - Disabled confirm button for admin/super_admin roles\n * - Consistent styling across the application\n */\nexport function DeleteAccountModal({\n  open,\n  onOk,\n  onCancel,\n  loading = false,\n  disabled = false,\n}: DeleteAccountModalProps) {\n  const { t } = useTranslation(\"common\");\n\n  return (\n    <Modal\n      title={\n        <Space className=\"text-red-600\">\n          <AlertTriangle className=\"h-5 w-5\" />\n          <span>{t(\"auth.confirmRevoke\") || \"Confirm Account Deletion\"}</span>\n        </Space>\n      }\n      open={open}\n      onOk={onOk}\n      onCancel={onCancel}\n      okText={t(\"auth.confirmRevokeOk\") || \"Delete Anyway\"}\n      okButtonProps={{ danger: true, loading, disabled }}\n      cancelText={t(\"auth.cancel\") || \"Cancel\"}\n      width={500}\n    >\n      <Alert\n        type=\"error\"\n        showIcon\n        className=\"mb-4\"\n        message={t(\"profile.deleteWarningTitle\") || \"This action cannot be undone!\"}\n        description={\n          <ul className=\"list-disc pl-4 mt-2 space-y-1\">\n            <li>{t(\"profile.deleteWarning1\") || \"Your account will be permanently deleted\"}</li>\n            <li>{t(\"profile.deleteWarning2\") || \"All your conversations and data will be removed\"}</li>\n            <li>{t(\"profile.deleteWarning3\") || \"This action cannot be reversed\"}</li>\n          </ul>\n        }\n      />\n      {disabled && (\n        <div className=\"mt-4\">\n          <Text strong>{t(\"profile.adminRestrictionTitle\") || \"Administrator Restriction\"}</Text>\n          <Paragraph type=\"secondary\" className=\"mt-1\">\n            {t(\"auth.refuseRevokePrompt\") || \"Your role is administrator. Account deletion for admin is not yet supported.\"}\n          </Paragraph>\n        </div>\n      )}\n    </Modal>\n  );\n}\n\n"
  },
  {
    "path": "frontend/components/auth/avatarDropdown.tsx",
    "content": "\"use client\";\n\nimport React, { useState } from \"react\";\nimport { useTranslation } from \"react-i18next\";\nimport { Dropdown, Avatar, Spin, Button, Tag, ConfigProvider } from \"antd\";\nimport { UserRound, LogOut, LogIn, UserRoundPlus, UserCircle, Power } from \"lucide-react\";\nimport type { ItemType } from \"antd/es/menu/interface\";\nimport Link from \"next/link\";\n\nimport { useAuthenticationContext } from \"@/components/providers/AuthenticationProvider\";\nimport { useAuthorizationContext } from \"@/components/providers/AuthorizationProvider\";\nimport { useConfirmModal } from \"@/hooks/useConfirmModal\";\nimport { getRoleColor } from \"@/lib/auth\";\nimport { USER_ROLES } from \"@/const/auth\";\nimport { DeleteAccountModal } from \"./DeleteAccountModal\";\n\nexport function AvatarDropdown() {\n  const { user, isAuthzReady } = useAuthorizationContext();\n  const { isLoading, logout, revoke, openLoginModal, openRegisterModal } =\n    useAuthenticationContext();\n  const [dropdownOpen, setDropdownOpen] = useState(false);\n  const [isDeleteModalOpen, setIsDeleteModalOpen] = useState(false);\n  const { t } = useTranslation(\"common\");\n  const { confirm } = useConfirmModal();\n\n  // Show loading while authentication is in progress\n  if (isLoading) {\n    return <Spin size=\"small\" />;\n  }\n  if (!user) {\n    const items: ItemType[] = [\n      {\n        key: \"not-logged-in\",\n        label: (\n          <div className=\"py-1\">\n            <div className=\"font-medium text-gray-500\">\n              {t(\"auth.notLoggedIn\")}\n            </div>\n          </div>\n        ),\n        className: \"cursor-default hover:bg-transparent\",\n        style: {\n          backgroundColor: \"transparent\",\n          cursor: \"default\",\n        },\n      },\n      {\n        type: \"divider\",\n      },\n      {\n        key: \"login\",\n        icon: <LogIn size={16} />,\n        label: t(\"auth.login\"),\n        onClick: () => {\n          setDropdownOpen(false);\n          openLoginModal();\n        },\n      },\n      {\n        key: \"register\",\n        icon: <UserRoundPlus size={16} />,\n        label: t(\"auth.register\"),\n        onClick: () => {\n          setDropdownOpen(false);\n          openRegisterModal();\n        },\n      },\n    ];\n\n    return (\n      <ConfigProvider getPopupContainer={() => document.body}>\n        <Dropdown\n          menu={{ items }}\n          placement=\"bottomRight\"\n          arrow\n          trigger={[\"click\"]}\n          open={dropdownOpen}\n          onOpenChange={setDropdownOpen}\n          popupRender={(menu: React.ReactNode) => (\n            <div style={{ minWidth: \"120px\" }}>{menu}</div>\n          )}\n          getPopupContainer={() => document.body}\n        >\n          <Button type=\"text\" icon={<UserRound size={18} />} shape=\"circle\" />\n        </Dropdown>\n      </ConfigProvider>\n    );\n  }\n\n  // User has logged in, show user menu\n  const menuItems: ItemType[] = [\n    {\n      key: \"user-info\",\n      label: (\n        <div className=\"py-1\">\n          <div className=\"font-medium\">{user.email}</div>\n          <div className=\"mt-1\">\n            <Tag color={getRoleColor(user.role)}>\n              {t(`auth.${(user.role).toLowerCase()}`)}\n            </Tag>\n          </div>\n        </div>\n      ),\n      className: \"cursor-default hover:bg-transparent\",\n      style: {\n        backgroundColor: \"transparent\",\n        cursor: \"default\",\n      },\n    },\n    {\n      type: \"divider\",\n    },\n    {\n      key: \"profile\",\n      icon: <UserCircle size={16} />,\n      label: <Link href=\"/users\">{t(\"sidebar.userManagement\")}</Link>,\n      onClick: () => {\n        setDropdownOpen(false);\n      },\n    },\n    {\n      type: \"divider\",\n    },\n    {\n      key: \"logout\",\n      icon: <LogOut size={16} />,\n      label: t(\"auth.logout\"),\n      onClick: () => {\n        confirm({\n          title: t(\"auth.confirmLogout\"),\n          content: t(\"auth.confirmLogoutPrompt\"),\n          onOk: () => {\n            logout();\n          },\n        });\n      },\n    },\n    {\n      key: \"revoke\",\n      icon: <Power size={16} />,\n      label: t(\"auth.revoke\"),\n      // danger: true,\n      className: \"hover:!bg-red-100 focus:!bg-red-400 focus:!text-white\",\n      onClick: () => {\n        setIsDeleteModalOpen(true);\n      },\n    },\n  ];\n\n  return (\n    <ConfigProvider getPopupContainer={() => document.body}>\n      <Dropdown\n        menu={{ items: menuItems }}\n        placement=\"bottomRight\"\n        arrow\n        trigger={[\"click\"]}\n        getPopupContainer={() => document.body}\n        popupRender={(menu: React.ReactNode) => (\n          <div style={{ minWidth: \"180px\" }}>{menu}</div>\n        )}\n      >\n        <Avatar\n          src={user.avatarUrl}\n          className=\"cursor-pointer\"\n          size=\"default\"\n          icon={<UserRound size={18} />}\n        />\n      </Dropdown>\n\n      {/* Delete Account Confirmation Modal */}\n      <DeleteAccountModal\n        open={isDeleteModalOpen}\n        onOk={() => {\n          revoke();\n          setIsDeleteModalOpen(false);\n        }}\n        onCancel={() => setIsDeleteModalOpen(false)}\n        loading={isLoading}\n        disabled={user.role === USER_ROLES.ADMIN || user.role === USER_ROLES.SU}\n      />\n    </ConfigProvider>\n  );\n}\n"
  },
  {
    "path": "frontend/components/auth/loginModal.tsx",
    "content": "\"use client\";\n\nimport { useState } from \"react\";\nimport { useTranslation } from \"react-i18next\";\nimport { Modal, Form, Input, Button, Typography, Space } from \"antd\";\nimport { UserRound, LockKeyhole } from \"lucide-react\";\nimport { usePathname, useRouter } from \"next/navigation\";\n\nimport { useAuthenticationContext } from \"@/components/providers/AuthenticationProvider\";\nimport { useDeployment } from \"@/components/providers/deploymentProvider\";\nimport { getEffectiveRoutePath } from \"@/lib/auth\";\nimport log from \"@/lib/logger\";\n\nconst { Text } = Typography;\n\n/**\n * LoginModal Component\n * Handles user authentication through a modal interface\n * Supports both regular login and session expiration scenarios\n */\nexport function LoginModal() {\n  // Authentication state and methods from useAuth hook\n  const {\n    isLoginModalOpen,\n    isAuthenticated,\n    closeLoginModal,\n    openRegisterModal,\n    login,\n    authServiceUnavailable,\n  } = useAuthenticationContext();\n  const { isSpeedMode } = useDeployment();\n\n  const router = useRouter();\n  const pathname = usePathname();\n  const [form] = Form.useForm();\n  const [isLoading, setIsLoading] = useState(false);\n  const [emailError, setEmailError] = useState(\"\");\n  const [passwordError, setPasswordError] = useState(false);\n\n  const resetForm = () => {\n    setEmailError(\"\");\n    setPasswordError(false);\n    form.resetFields();\n  };\n\n  const handleEmailChange = () => {\n    if (emailError) {\n      setEmailError(\"\");\n      form.setFields([\n        {\n          name: \"email\",\n          errors: [],\n        },\n      ]);\n    }\n  };\n\n  const handlePasswordChange = () => {\n    if (passwordError) {\n      setPasswordError(false);\n    }\n  };\n\n  // Internationalization hook for multi-language support\n  const { t } = useTranslation(\"common\");\n\n  /**\n   * Handles form submission for user login\n   * @param values - Object containing email and password\n   */\n  const handleSubmit = async (values: { email: string; password: string }) => {\n    // Clear previous error states\n    setEmailError(\"\");\n    setPasswordError(false);\n    setIsLoading(true);\n\n    try {\n      // Attempt to login with provided credentials\n      await login(values.email, values.password);\n\n      setTimeout(() => {\n        // Close the login modal after successful login\n        closeLoginModal();\n      }, 200);\n    } catch (error: any) {\n      log.error(\"Login failed\", error);\n      // Clear email error and set password error flag\n      setEmailError(\"\");\n      setPasswordError(true);\n\n      // Handle backend errors based on HTTP status code\n      const httpStatusCode = error?.code;\n\n      // Check if error is due to server timeout or auth service unavailability\n      if (httpStatusCode === 500 || httpStatusCode === 503) {\n        // Display server error message in password field\n        form.setFields([\n          {\n            name: \"password\",\n            errors: [t(\"auth.authServiceUnavailable\")],\n            value: values.password,\n          },\n        ]);\n      } else if (httpStatusCode === 401) {\n        // HTTP 401 Unauthorized - Invalid credentials\n        form.setFields([\n          {\n            name: \"email\",\n            errors: [\"\"],\n            value: values.email,\n          },\n          {\n            name: \"password\",\n            errors: [t(\"auth.invalidCredentials\")],\n            value: values.password,\n          },\n        ]);\n      } else {\n        // Display invalid credentials error for other cases\n        form.setFields([\n          {\n            name: \"email\",\n            errors: [\"\"],\n            value: values.email,\n          },\n          {\n            name: \"password\",\n            errors: [t(\"auth.invalidCredentials\")],\n            value: values.password,\n          },\n        ]);\n      }\n    } finally {\n      // Always reset loading state\n      setIsLoading(false);\n    }\n  };\n\n  /**\n   * Handles transition from login to registration modal\n   * Resets form and opens registration modal\n   */\n  const handleRegisterClick = () => {\n    resetForm();\n    closeLoginModal();\n    openRegisterModal();\n  };\n\n  /**\n   * Handles modal cancellation\n   * Resets form and handles session expiration scenarios\n   */\n  const handleCancel = () => {\n    resetForm();\n    closeLoginModal();\n\n    // If user manually cancels login from a protected page,\n    // redirect back to home instead of keeping them on the restricted page\n    if (!isAuthenticated && !isSpeedMode) {\n      const effectivePath = pathname ? getEffectiveRoutePath(pathname) : \"/\";\n      if (effectivePath !== \"/\") {\n        router.push(\"/\");\n      }\n    }\n  };\n\n  return (\n    <Modal\n      title={\n        <div className=\"text-center text-xl font-bold mt-3\">\n          {t(\"auth.loginTitle\")}\n        </div>\n      }\n      open={isLoginModalOpen}\n      onCancel={handleCancel}\n      footer={null}\n      width={420}\n      centered\n      forceRender\n      maskClosable={false}\n      closable={true}\n    >\n      <div className=\"relative bg-white p-4 rounded-2xl\">\n        <Form\n          id=\"login-form\"\n          form={form}\n          layout=\"vertical\"\n          onFinish={handleSubmit}\n          className=\"mt-6\"\n          autoComplete=\"off\"\n        >\n          {/* Email input field */}\n          <Form.Item\n            name=\"email\"\n            label={t(\"auth.emailLabel\")}\n            validateStatus={emailError ? \"error\" : \"\"}\n            help={emailError}\n            rules={[{ required: true, message: t(\"auth.emailRequired\") }]}\n          >\n            <Input\n              prefix={<UserRound className=\"text-gray-400\" size={16} />}\n              placeholder={t(\"auth.emailPlaceholder\")}\n              onChange={handleEmailChange}\n              size=\"large\"\n            />\n          </Form.Item>\n\n          {/* Password input field */}\n          <Form.Item\n            name=\"password\"\n            label={t(\"auth.passwordLabel\")}\n            validateStatus={passwordError ? \"error\" : \"\"}\n            help={\n              passwordError || authServiceUnavailable\n                ? authServiceUnavailable\n                  ? t(\"auth.authServiceUnavailable\")\n                  : t(\"auth.invalidCredentials\")\n                : \"\"\n            }\n            rules={[{ required: true, message: t(\"auth.passwordRequired\") }]}\n          >\n            <Input.Password\n              prefix={<LockKeyhole className=\"text-gray-400\" size={16} />}\n              placeholder={t(\"auth.passwordRequired\")}\n              onChange={handlePasswordChange}\n              size=\"large\"\n              status={passwordError ? \"error\" : \"\"}\n            />\n          </Form.Item>\n\n          {/* Submit button */}\n          <Form.Item>\n            <Button\n              type=\"primary\"\n              htmlType=\"submit\"\n              loading={isLoading}\n              block\n              size=\"large\"\n              className=\"mt-2\"\n              disabled={authServiceUnavailable}\n            >\n              {isLoading ? t(\"auth.loggingIn\") : t(\"auth.login\")}\n            </Button>\n          </Form.Item>\n\n          {/* Registration link section (hidden when opened from session expired flow) */}\n          \n            <div className=\"text-center\">\n              <Space>\n                <Text type=\"secondary\">{t(\"auth.noAccount\")}</Text>\n                <Button type=\"link\" onClick={handleRegisterClick} className=\"p-0\">\n                  {t(\"auth.registerNow\")}\n                </Button>\n              </Space>\n            </div>\n\n        </Form>\n      </div>\n    </Modal>\n  );\n}\n"
  },
  {
    "path": "frontend/components/auth/registerModal.tsx",
    "content": "\"use client\";\n\nimport { useState } from \"react\";\nimport { useTranslation } from \"react-i18next\";\nimport { usePathname, useRouter } from \"next/navigation\";\nimport {\n  Modal,\n  Form,\n  Input,\n  Button,\n  Typography,\n  Space,\n  Switch,\n  App,\n  Popover,\n} from \"antd\";\nimport {\n  UserRound,\n  LockKeyhole,\n  ShieldCheck,\n  KeyRound,\n  BookMarked,\n  HelpCircle,\n  Users,\n} from \"lucide-react\";\n\nimport { useAuthenticationContext } from \"@/components/providers/AuthenticationProvider\";\nimport { useDeployment } from \"@/components/providers/deploymentProvider\";\nimport { AuthFormValues } from \"@/types/auth\";\nimport { getEffectiveRoutePath } from \"@/lib/auth\";\nimport log from \"@/lib/logger\";\n\nconst { Text } = Typography;\n\nexport function RegisterModal() {\n  const {\n    isRegisterModalOpen,\n    isAuthenticated,\n    closeRegisterModal,\n    openLoginModal,\n    register,\n    authServiceUnavailable,\n  } = useAuthenticationContext();\n  const { isSpeedMode } = useDeployment();\n\n  const router = useRouter();\n  const pathname = usePathname();\n  const [form] = Form.useForm<AuthFormValues>();\n  const [isLoading, setIsLoading] = useState(false);\n  const [emailError, setEmailError] = useState(\"\");\n  const [passwordError, setPasswordError] = useState<{\n    target: \"password\" | \"confirmPassword\" | \"\";\n    message: string;\n  }>({ target: \"\", message: \"\" });\n  const { t } = useTranslation(\"common\");\n  const { message } = App.useApp();\n\n  const validateEmail = (email: string): boolean => {\n    if (!email) return false;\n\n    if (!email.includes(\"@\")) return false;\n\n    const emailRegex = /^[^\\s@]+@[^\\s@]+\\.[^\\s@]+$/;\n    return emailRegex.test(email);\n  };\n\n  const validatePassword = (password: string): boolean => {\n    return !!(password && password.length >= 6);\n  };\n\n  const resetForm = () => {\n    setEmailError(\"\");\n    setPasswordError({ target: \"\", message: \"\" });\n    form.resetFields();\n  };\n\n  const handleSubmit = async (values: AuthFormValues) => {\n    setIsLoading(true);\n    setEmailError(\"\"); // Reset error state\n    setPasswordError({ target: \"\", message: \"\" }); // Reset password error state\n\n    if (!validateEmail(values.email)) {\n      const errorMsg = t(\"auth.invalidEmailFormat\");\n      message.error(errorMsg);\n      setEmailError(errorMsg);\n      setIsLoading(false);\n      return;\n    }\n\n    if (!validatePassword(values.password)) {\n      const errorMsg = t(\"auth.passwordMinLength\");\n      message.error(errorMsg);\n      setPasswordError({ target: \"password\", message: errorMsg });\n      form.setFields([\n        {\n          name: \"password\",\n          errors: [errorMsg],\n          value: values.password,\n        },\n      ]);\n      setIsLoading(false);\n      return;\n    }\n\n    try {\n      await register(\n        values.email,\n        values.password,\n        values.inviteCode\n      );\n\n      // Reset form and clear error states\n      resetForm();\n    } catch (error: any) {\n      log.error(\"Registration error details:\", error);\n\n      if (error?.detail && Array.isArray(error.detail)) {\n        const validationError = error.detail[0];\n\n        if (validationError.loc && validationError.loc.includes(\"email\")) {\n          const errorMsg = t(\"auth.invalidEmailFormat\");\n          message.error(errorMsg);\n          setEmailError(errorMsg);\n          form.setFields([\n            {\n              name: \"email\",\n              errors: [errorMsg],\n              value: values.email,\n            },\n          ]);\n          setIsLoading(false);\n          return;\n        }\n\n        if (validationError.loc && validationError.loc.includes(\"password\")) {\n          const errorMsg = t(\"auth.passwordMinLength\");\n          message.error(errorMsg);\n          setPasswordError({ target: \"password\", message: errorMsg });\n          setIsLoading(false);\n          return;\n        }\n      }\n\n      // process the specific error type returned by the backend (based on HTTP status code and error_type)\n      const httpStatusCode = error?.code;\n      const errorType = error?.message;\n\n      // HTTP 409 Conflict\n      if (httpStatusCode === 409 || errorType === \"EMAIL_ALREADY_EXISTS\") {\n        const errorMsg = t(\"auth.emailAlreadyExists\");\n        message.error(errorMsg);\n        setEmailError(errorMsg);\n        form.setFields([\n          {\n            name: \"email\",\n            errors: [errorMsg],\n            value: values.email,\n          },\n        ]);\n      }\n      // HTTP 406 Not Acceptable\n      else if (httpStatusCode === 406 || errorType === \"WEAK_PASSWORD\") {\n        const errorMsg = t(\"auth.weakPassword\");\n        message.error(errorMsg);\n        setPasswordError({ target: \"password\", message: errorMsg });\n        form.setFields([\n          {\n            name: \"password\",\n            errors: [errorMsg],\n            value: values.password,\n          },\n        ]);\n      }\n      // Invite code not configured\n      else if (errorType === \"INVITE_CODE_NOT_CONFIGURED\") {\n        const errorMsg = t(\"auth.inviteCodeNotConfigured\");\n        message.error(errorMsg);\n        form.setFields([\n          {\n            name: \"inviteCode\",\n            errors: [errorMsg],\n            value: values.inviteCode,\n          },\n        ]);\n      } else if (errorType === \"INVITE_CODE_REQUIRED\") {\n        const errorMsg = t(\"auth.inviteCodeRequired\");\n        message.error(errorMsg);\n        form.setFields([\n          {\n            name: \"inviteCode\",\n            errors: [errorMsg],\n            value: values.inviteCode,\n          },\n        ]);\n      } else if (errorType === \"INVITE_CODE_INVALID\") {\n        const errorMsg = t(\"auth.inviteCodeInvalid\");\n        message.error(errorMsg);\n        form.setFields([\n          {\n            name: \"inviteCode\",\n            errors: [errorMsg],\n            value: values.inviteCode,\n          },\n        ]);\n      }\n      // Invalid email format\n      else if (errorType === \"INVALID_EMAIL_FORMAT\") {\n        const errorMsg = t(\"auth.invalidEmailFormat\");\n        message.error(errorMsg);\n        setEmailError(errorMsg);\n        form.setFields([\n          {\n            name: \"email\",\n            errors: [errorMsg],\n            value: values.email,\n          },\n        ]);\n      }\n      // Registration service error\n      else if (\n        errorType === \"REGISTRATION_SERVICE_ERROR\" ||\n        httpStatusCode === 500\n      ) {\n        const errorMsg = t(\"auth.registrationServiceError\");\n        message.error(errorMsg);\n        setEmailError(errorMsg);\n      }\n      // Network error\n      else if (errorType === \"NETWORK_ERROR\") {\n        const errorMsg = t(\"auth.networkError\");\n        message.error(errorMsg);\n        setEmailError(errorMsg);\n      }\n      // Auth service unavailable\n      else if (\n        httpStatusCode === 503 ||\n        errorType === \"AUTH_SERVICE_UNAVAILABLE\"\n      ) {\n        const errorMsg = t(\"auth.authServiceUnavailable\");\n        message.error(errorMsg);\n        setEmailError(errorMsg);\n      }\n      // Other unknown errors\n      else {\n        const errorMsg = error?.message || t(\"auth.unknownError\");\n        message.error(errorMsg);\n        setPasswordError({ target: \"\", message: \"\" });\n      }\n    }\n\n    setIsLoading(false);\n  };\n\n  const handleLoginClick = () => {\n    resetForm();\n    setPasswordError({ target: \"\", message: \"\" });\n    closeRegisterModal();\n    openLoginModal();\n  };\n\n  const handleCancel = () => {\n    resetForm();\n    setPasswordError({ target: \"\", message: \"\" });\n    closeRegisterModal();\n\n    // If user manually cancels registration from a protected page,\n    // redirect back to home instead of keeping them on the restricted page\n    if (!isAuthenticated && !isSpeedMode) {\n      const effectivePath = pathname ? getEffectiveRoutePath(pathname) : \"/\";\n      if (effectivePath !== \"/\") {\n        router.push(\"/\");\n      }\n    }\n  };\n\n  // Handle email input change - real-time email format validation\n  const handleEmailInputChange = (e: React.ChangeEvent<HTMLInputElement>) => {\n    const value = e.target.value;\n\n    // Real-time email format validation\n    if (value && !validateEmail(value)) {\n      setEmailError(t(\"auth.invalidEmailFormat\"));\n    } else {\n      setEmailError(\"\");\n    }\n  };\n\n  // Handle password input change - use new validation logic\n  const handlePasswordChange = (e: React.ChangeEvent<HTMLInputElement>) => {\n    const value = e.target.value;\n\n    // Use validation function to check password strength\n    if (value && !validatePassword(value)) {\n      setPasswordError({\n        target: \"password\",\n        message: t(\"auth.passwordMinLength\"),\n      });\n      return; // Exit early if password length is invalid\n    }\n\n    // Only check password match if length requirement is met\n    setPasswordError({ target: \"\", message: \"\" });\n    const confirmPassword = form.getFieldValue(\"confirmPassword\");\n    if (confirmPassword && confirmPassword !== value) {\n      setPasswordError({\n        target: \"confirmPassword\",\n        message: t(\"auth.passwordsDoNotMatch\"),\n      });\n    }\n  };\n\n  // Handle confirm password input change - use new validation logic\n  const handleConfirmPasswordChange = (\n    e: React.ChangeEvent<HTMLInputElement>\n  ) => {\n    const value = e.target.value;\n    const password = form.getFieldValue(\"password\");\n\n    // First check if original password meets length requirement\n    if (password && !validatePassword(password)) {\n      setPasswordError({\n        target: \"password\",\n        message: t(\"auth.passwordMinLength\"),\n      });\n      return;\n    }\n\n    // Then check password match\n    if (value && value !== password) {\n      setPasswordError({\n        target: \"confirmPassword\",\n        message: t(\"auth.passwordsDoNotMatch\"),\n      });\n    } else {\n      setPasswordError({ target: \"\", message: \"\" });\n    }\n  };\n\n  return (\n    <Modal\n      title={\n        <div className=\"text-center text-xl font-bold mt-3\">\n          {t(\"auth.registerTitle\")}\n        </div>\n      }\n      open={isRegisterModalOpen}\n      onCancel={handleCancel}\n      footer={null}\n      width={420}\n      centered\n      forceRender\n    >\n      <div className=\"relative bg-white p-4 rounded-2xl\">\n        <Form\n          id=\"register-form\"\n          form={form}\n          layout=\"vertical\"\n          onFinish={handleSubmit}\n          className=\"mt-6\"\n          autoComplete=\"off\"\n        >\n          <Form.Item\n            name=\"email\"\n            label={t(\"auth.emailLabel\")}\n            validateStatus={emailError ? \"error\" : \"\"}\n            help={emailError}\n            rules={[\n              { required: true, message: t(\"auth.emailRequired\") },\n              {\n                validator: (_, value) => {\n                  if (!value) return Promise.resolve();\n                  if (!validateEmail(value)) {\n                    return Promise.reject(\n                      new Error(t(\"auth.invalidEmailFormat\"))\n                    );\n                  }\n                  return Promise.resolve();\n                },\n              },\n            ]}\n          >\n            <Input\n              prefix={<UserRound className=\"text-gray-400\" size={16} />}\n              placeholder=\"your@email.com\"\n              size=\"large\"\n              onChange={handleEmailInputChange}\n            />\n          </Form.Item>\n\n          <Form.Item\n            name=\"password\"\n            label={t(\"auth.passwordLabel\")}\n            validateStatus={\n              passwordError.target === \"password\" &&\n                !form.getFieldError(\"password\").length\n                ? \"error\"\n                : \"\"\n            }\n            help={\n              form.getFieldError(\"password\").length\n                ? undefined\n                : passwordError.target === \"password\"\n                  ? passwordError.message\n                  : authServiceUnavailable\n                    ? t(\"auth.authServiceUnavailable\")\n                    : undefined\n            }\n            rules={[\n              { required: true, message: t(\"auth.passwordRequired\") },\n              {\n                validator: (_, value) => {\n                  if (!value) return Promise.resolve();\n                  if (!validatePassword(value)) {\n                    return Promise.reject(new Error(t(\"auth.passwordMinLength\")));\n                  }\n                  return Promise.resolve();\n                },\n              },\n            ]}\n            hasFeedback\n          >\n            <Input.Password\n              id=\"register-password\"\n              prefix={<LockKeyhole className=\"text-gray-400\" size={16} />}\n              placeholder={t(\"auth.passwordRequired\")}\n              size=\"large\"\n              onChange={handlePasswordChange}\n            />\n          </Form.Item>\n\n          <Form.Item\n            name=\"confirmPassword\"\n            label={t(\"auth.confirmPasswordLabel\")}\n            validateStatus={\n              passwordError.target === \"confirmPassword\" &&\n                !form.getFieldError(\"confirmPassword\").length\n                ? \"error\"\n                : \"\"\n            }\n            help={\n              form.getFieldError(\"confirmPassword\").length\n                ? undefined\n                : passwordError.target === \"confirmPassword\"\n                  ? passwordError.message\n                  : authServiceUnavailable\n                    ? t(\"auth.authServiceUnavailable\")\n                    : undefined\n            }\n            dependencies={[\"password\"]}\n            hasFeedback\n            rules={[\n              { required: true, message: t(\"auth.confirmPasswordRequired\") },\n              ({ getFieldValue }) => ({\n                validator(_, value) {\n                  const password = getFieldValue(\"password\");\n                  // First check password length using validation function\n                  if (password && !validatePassword(password)) {\n                    setPasswordError({\n                      target: \"password\",\n                      message: t(\"auth.passwordMinLength\"),\n                    });\n                    return Promise.reject(new Error(t(\"auth.passwordMinLength\")));\n                  }\n                  // Then check password match\n                  if (!value || getFieldValue(\"password\") === value) {\n                    setPasswordError({ target: \"\", message: \"\" });\n                    return Promise.resolve();\n                  }\n                  setPasswordError({\n                    target: \"confirmPassword\",\n                    message: t(\"auth.passwordsDoNotMatch\"),\n                  });\n                  return Promise.reject(new Error(t(\"auth.passwordsDoNotMatch\")));\n                },\n              }),\n            ]}\n          >\n            <Input.Password\n              id=\"register-confirm-password\"\n              prefix={<ShieldCheck className=\"text-gray-400\" size={16} />}\n              placeholder={t(\"auth.confirmPasswordRequired\")}\n              size=\"large\"\n              onChange={handleConfirmPasswordChange}\n            />\n          </Form.Item>\n\n          <Form.Item\n            name=\"inviteCode\"\n            label={t(\"auth.inviteCodeLabel\")}\n            rules={[{ required: true, message: t(\"auth.inviteCodeRequired\") }]}\n          >\n            <Input\n              prefix={<KeyRound className=\"text-gray-400\" size={16} />}\n              placeholder={t(\"auth.inviteCodePlaceholder\")}\n              size=\"large\"\n            />\n          </Form.Item>\n\n          <Form.Item>\n            <Popover\n              content={\n                <div className=\"max-w-sm\">\n                  {/* Method 1: Open Source Contribution */}\n                  <div className=\"bg-white dark:bg-gray-800 rounded-lg p-3 mb-3\">\n                    <div className=\"font-medium text-sm text-gray-900 dark:text-gray-100 mb-2\">\n                      {t(\"auth.inviteCodeHint.method1.title\")}\n                    </div>\n                    <div className=\"space-y-2\">\n                      <div className=\"flex items-start\">\n                        <span className=\"mr-1 leading-none\">✨</span>\n                        <div className=\"text-sm text-gray-600 dark:text-gray-400\">\n                          {t(\"auth.inviteCodeHint.step1\")}\n                          <a\n                            href=\"https://github.com/ModelEngine-Group/nexent\"\n                            target=\"_blank\"\n                            rel=\"noopener noreferrer\"\n                            className=\"text-blue-600 dark:text-blue-400 hover:underline font-medium\"\n                          >\n                            {t(\"auth.inviteCodeHint.projectLink\")}\n                          </a>\n                          {t(\"auth.inviteCodeHint.starAction\")}\n                        </div>\n                      </div>\n                      <div className=\"flex items-start\">\n                        <span className=\"mr-1 leading-none\">💬</span>\n                        <div className=\"text-sm text-gray-600 dark:text-gray-400\">\n                          {t(\"auth.inviteCodeHint.step2\")}\n                          <a\n                            href={t(\"auth.inviteCodeHint.contributionWallUrl\")}\n                            target=\"_blank\"\n                            rel=\"noopener noreferrer\"\n                            className=\"text-blue-600 dark:text-blue-400 hover:underline font-medium\"\n                          >\n                            {t(\"auth.inviteCodeHint.contributionWallLink\")}\n                          </a>\n                          {t(\"auth.inviteCodeHint.step2Action\")}\n                          <a\n                            href={t(\"auth.inviteCodeHint.documentationUrl\")}\n                            target=\"_blank\"\n                            rel=\"noopener noreferrer\"\n                            className=\"ml-1 text-blue-600 dark:text-blue-400 hover:underline inline-flex items-center\"\n                            title={t(\"auth.inviteCodeHint.viewDocumentation\")}\n                          >\n                            <BookMarked size={16} />\n                          </a>\n                        </div>\n                      </div>\n                      <div className=\"flex items-start\">\n                        <span className=\"mr-1 leading-none\">🎁</span>\n                        <div className=\"text-sm text-gray-600 dark:text-gray-400\">\n                          {t(\"auth.inviteCodeHint.step3\")}\n                          <a\n                            href=\"http://nexent.tech/contact\"\n                            target=\"_blank\"\n                            rel=\"noopener noreferrer\"\n                            className=\"text-blue-600 dark:text-blue-400 hover:underline font-medium\"\n                          >\n                            {t(\"auth.inviteCodeHint.communityLink\")}\n                          </a>\n                          {t(\"auth.inviteCodeHint.step3Action\")}\n                        </div>\n                      </div>\n                    </div>\n                  </div>\n\n                  {/* Method 2: Contact Tenant Administrator */}\n                  <div className=\"bg-white dark:bg-gray-800 rounded-lg p-3\">\n                    <div className=\"font-medium text-sm text-gray-900 dark:text-gray-100 mb-2\">\n                      {t(\"auth.inviteCodeHint.method2.title\")}\n                    </div>\n                    <div className=\"space-y-2\">\n                      <div className=\"flex items-start\">\n                        <Users size={16} className=\"text-blue-600 dark:text-blue-400 mr-1 mt-0.5\" />\n                        <div className=\"text-sm text-gray-600 dark:text-gray-400\">\n                          {t(\"auth.inviteCodeHint.method2.description\")}\n                        </div>\n                      </div>\n                    </div>\n                  </div>\n                </div>\n              }\n              title={t(\"auth.inviteCodeHint.popoverTitle\")}\n              trigger=\"hover\"\n              mouseEnterDelay={0.3}\n              overlayClassName=\"max-w-xs\"\n            >\n              <div className=\"flex items-center text-blue-600 dark:text-blue-400 hover:text-blue-700 dark:hover:text-blue-300 cursor-pointer text-sm\">\n                <HelpCircle size={16} className=\"mr-1\" />\n                {t(\"auth.inviteCodeHint.howToGetCode\")}\n              </div>\n            </Popover>\n          </Form.Item>\n\n\n          <Form.Item>\n            <Button\n              type=\"primary\"\n              htmlType=\"submit\"\n              loading={isLoading}\n              block\n              size=\"large\"\n              className=\"mt-2\"\n              disabled={authServiceUnavailable}\n            >\n              {isLoading? t(\"auth.registering\"): t(\"auth.register\")}\n            </Button>\n          </Form.Item>\n\n          <div className=\"text-center\">\n            <Space>\n              <Text type=\"secondary\">{t(\"auth.hasAccount\")}</Text>\n              <Button type=\"link\" onClick={handleLoginClick} className=\"p-0\">\n                {t(\"auth.loginNow\")}\n              </Button>\n            </Space>\n          </div>\n        </Form>\n      </div>\n    </Modal>\n  );\n}\n"
  },
  {
    "path": "frontend/components/mcp/McpContainerLogsModal.tsx",
    "content": "import { Modal, Button, Spin } from \"antd\";\nimport { useTranslation } from \"react-i18next\";\nimport { useEffect, useRef, useState } from \"react\";\nimport { streamMcpContainerLogs } from \"@/services/mcpService\";\nimport log from \"@/lib/logger\";\n\ninterface McpContainerLogsModalProps {\n  open: boolean;\n  onCancel: () => void;\n  containerId: string;\n  tenantId?: string | null;\n  tail?: number;\n}\n\nexport default function McpContainerLogsModal({\n  open,\n  onCancel,\n  containerId,\n  tenantId,\n  tail = 100,\n}: McpContainerLogsModalProps) {\n  const { t } = useTranslation(\"common\");\n  const [logs, setLogs] = useState<string>(\"\");\n  const [loading, setLoading] = useState<boolean>(false);\n  const logsRef = useRef<HTMLPreElement>(null);\n  const abortControllerRef = useRef<AbortController | null>(null);\n\n  // Auto-scroll to bottom when new logs arrive\n  useEffect(() => {\n    if (logsRef.current) {\n      logsRef.current.scrollTop = logsRef.current.scrollHeight;\n    }\n  }, [logs]);\n\n  // Start streaming logs when modal opens\n  useEffect(() => {\n    if (open && containerId) {\n      // Cancel any existing stream before starting a new one\n      if (abortControllerRef.current) {\n        abortControllerRef.current.abort();\n        abortControllerRef.current = null;\n      }\n\n      setLogs(\"\");\n      setLoading(true);\n\n      // Start new stream\n      streamMcpContainerLogs(\n        containerId,\n        tail,\n        true, // follow\n        tenantId,\n        (logLine: string) => {\n          setLogs((prev) => {\n            const newLogs = prev ? `${prev}\\n${logLine}` : logLine;\n            return newLogs;\n          });\n          setLoading(false);\n        },\n        (error: any) => {\n          // Ignore abort errors\n          if (error.name !== 'AbortError') {\n            log.error(\"Failed to stream container logs\", error);\n            setLogs((prev) => \n              prev \n                ? `${prev}\\nError: ${error.message}`\n                : `Error: ${error.message}`\n            );\n            setLoading(false);\n          }\n        },\n        () => {\n          setLoading(false);\n        }\n      ).then((controller) => {\n        abortControllerRef.current = controller;\n      });\n    }\n\n    // Cleanup when modal closes or component unmounts\n    return () => {\n      if (abortControllerRef.current) {\n        abortControllerRef.current.abort();\n        abortControllerRef.current = null;\n      }\n      if (!open) {\n        setLogs(\"\");\n      }\n    };\n  }, [open, containerId, tail, tenantId, t]);\n\n  return (\n    <Modal\n      title={`${t(\"mcpConfig.containerLogs.title\")} - ${containerId?.substring(0, 12)}`}\n      open={open}\n      onCancel={onCancel}\n      width={800}\n      footer={[<Button key=\"close\" onClick={onCancel}>{t(\"mcpConfig.modal.close\")}</Button>]}\n    >\n      <Spin spinning={loading} tip={t(\"mcpConfig.containerLogs.loading\")}>\n        <pre\n          ref={logsRef}\n          className=\"bg-gray-100 p-4 rounded max-h-[500px] overflow-auto whitespace-pre-wrap text-xs font-mono\"\n        >\n          {logs || t(\"mcpConfig.containerLogs.empty\")}\n        </pre>\n      </Spin>\n    </Modal>\n  );\n}\n\n"
  },
  {
    "path": "frontend/components/mcp/McpEditServerModal.tsx",
    "content": "import { useState, useEffect } from \"react\";\nimport { Modal, Input, Space, Typography } from \"antd\";\nimport { useTranslation } from \"react-i18next\";\n\nconst { Text } = Typography;\n\ninterface McpEditServerModalProps {\n  open: boolean;\n  onCancel: () => void;\n  onSave: (name: string, url: string, authorizationToken?: string | null) => Promise<void>;\n  initialName: string;\n  initialUrl: string;\n  initialAuthorizationToken?: string | null;\n  loading: boolean;\n}\n\nexport default function McpEditServerModal({\n  open,\n  onCancel,\n  onSave,\n  initialName,\n  initialUrl,\n  initialAuthorizationToken,\n  loading,\n}: McpEditServerModalProps) {\n  const { t } = useTranslation(\"common\");\n  const [name, setName] = useState(initialName);\n  const [url, setUrl] = useState(initialUrl);\n  const [authorizationToken, setAuthorizationToken] = useState(initialAuthorizationToken || \"\");\n\n  useEffect(() => {\n    if (open) {\n      setName(initialName);\n      setUrl(initialUrl);\n      setAuthorizationToken(initialAuthorizationToken || \"\");\n    }\n  }, [open, initialName, initialUrl, initialAuthorizationToken]);\n\n  const handleSave = () => {\n    onSave(name, url, authorizationToken || null);\n  };\n\n  return (\n    <Modal\n      title={t(\"mcpConfig.editServer.title\")}\n      open={open}\n      onCancel={onCancel}\n      onOk={handleSave}\n      okButtonProps={{ loading: loading }}\n      okText={t(\"common.save\")}\n      cancelText={t(\"common.cancel\")}\n    >\n      <Space direction=\"vertical\" className=\"w-full\">\n        <div>\n          <Text strong>{t(\"mcpConfig.editServer.serviceName\")}</Text>\n          <Input value={name} onChange={(e) => setName(e.target.value)} className=\"mt-2\" />\n        </div>\n        <div>\n          <Text strong>{t(\"mcpConfig.editServer.mcpUrl\")}</Text>\n          <Input value={url} onChange={(e) => setUrl(e.target.value)} className=\"mt-2\" />\n        </div>\n        <div>\n          <Text strong>{t(\"mcpConfig.editServer.authorizationToken\")}</Text>\n          <Input.Password\n            value={authorizationToken}\n            onChange={(e) => setAuthorizationToken(e.target.value)}\n            placeholder={t(\"mcpConfig.editServer.authorizationTokenPlaceholder\")}\n            className=\"mt-2\"\n          />\n        </div>\n      </Space>\n    </Modal>\n  );\n}\n\n"
  },
  {
    "path": "frontend/components/mcp/McpToolListModal.tsx",
    "content": "import { useState } from \"react\";\nimport { Modal, Button, Table } from \"antd\";\nimport { Maximize, Minimize } from \"lucide-react\";\nimport { useTranslation } from \"react-i18next\";\nimport { McpTool } from \"@/types/agentConfig\";\n\ninterface McpToolListModalProps {\n  open: boolean;\n  onCancel: () => void;\n  loading: boolean;\n  tools: McpTool[];\n  serverName: string;\n}\n\nexport default function McpToolListModal({\n  open,\n  onCancel,\n  loading,\n  tools,\n  serverName,\n}: McpToolListModalProps) {\n  const { t } = useTranslation(\"common\");\n  const [expandedDescriptions, setExpandedDescriptions] = useState<Set<string>>(new Set());\n\n  const toggleDescription = (toolName: string) => {\n    const newExpanded = new Set(expandedDescriptions);\n    if (newExpanded.has(toolName)) {\n      newExpanded.delete(toolName);\n    } else {\n      newExpanded.add(toolName);\n    }\n    setExpandedDescriptions(newExpanded);\n  };\n\n  const toolColumns = [\n    { title: t(\"mcpConfig.toolsList.column.name\"), dataIndex: \"name\", key: \"name\", width: \"30%\" },\n    {\n      title: t(\"mcpConfig.toolsList.column.description\"),\n      dataIndex: \"description\",\n      key: \"description\",\n      width: \"70%\",\n      render: (text: string, record: McpTool) => {\n        const isExpanded = expandedDescriptions.has(record.name);\n        const maxLength = 100;\n        const needsExpansion = text && text.length > maxLength;\n        return (\n          <div>\n            <div style={{ marginBottom: needsExpansion ? 8 : 0 }}>\n              {needsExpansion && !isExpanded ? `${text.substring(0, maxLength)}...` : text}\n            </div>\n            {needsExpansion && (\n              <Button\n                type=\"link\"\n                size=\"small\"\n                icon={isExpanded ? <Minimize size={16} /> : <Maximize size={16} />}\n                onClick={() => toggleDescription(record.name)}\n                style={{ padding: 0, height: \"auto\" }}\n              >\n                {isExpanded ? t(\"mcpConfig.toolsList.button.collapse\") : t(\"mcpConfig.toolsList.button.expand\")}\n              </Button>\n            )}\n          </div>\n        );\n      },\n    },\n  ];\n\n  return (\n    <Modal\n      title={`${serverName} - ${t(\"mcpConfig.toolsList.title\")}`}\n      open={open}\n      onCancel={onCancel}\n      width={800}\n      footer={[<Button key=\"close\" onClick={onCancel}>{t(\"mcpConfig.modal.close\")}</Button>]}\n    >\n      <Table\n        loading={{ spinning: loading, tip: t(\"mcpConfig.toolsList.loading\") }}\n        columns={toolColumns}\n        dataSource={tools}\n        rowKey=\"name\"\n        size=\"small\"\n        pagination={false}\n        locale={{ emptyText: t(\"mcpConfig.toolsList.empty\") }}\n        scroll={{ y: 500 }}\n      />\n    </Modal>\n  );\n}\n\n"
  },
  {
    "path": "frontend/components/navigation/ChatTopNavContent.tsx",
    "content": "\"use client\";\n\nimport { useConfig } from \"@/hooks/useConfig\";\nimport { extractColorsFromUri } from \"@/lib/avatar\";\nimport { useRouter } from \"next/navigation\";\nimport { useTranslation } from \"react-i18next\";\n\n/**\n * ChatTopNavContent - Displays app logo and name in the top navbar for chat page\n */\nexport function ChatTopNavContent() {\n  const router = useRouter();\n  const { i18n } = useTranslation();\n  const { appConfig, getAppAvatarUrl } = useConfig();\n  const sidebarAvatarUrl = getAppAvatarUrl(16);\n  \n  // Static font-size for top navbar (no responsive sizing required)\n\n  const colors = extractColorsFromUri(appConfig.avatarUri || \"\");\n  const mainColor = colors.mainColor || \"273746\";\n  const secondaryColor = colors.secondaryColor || mainColor;\n\n  return (\n    <div\n      className=\"flex items-center cursor-pointer hover:opacity-80 transition-opacity\"\n      onClick={() => router.push(`/${i18n.language}`)}\n    >\n      <div className=\"h-6 w-6 rounded-full overflow-hidden mr-2\">\n        <img\n          src={sidebarAvatarUrl}\n          alt={appConfig.appName}\n          className=\"h-full w-full object-cover\"\n        />\n      </div>\n      <span\n        className=\"font-bold truncate bg-clip-text text-transparent\"\n        style={{\n          fontSize: '16px',\n          lineHeight: '20px',\n          backgroundImage: `linear-gradient(180deg, #${mainColor} 0%, #${secondaryColor} 100%)`,\n        }}\n      >\n        {appConfig.appName}\n      </span>\n    </div>\n  );\n}\n\n"
  },
  {
    "path": "frontend/components/navigation/FooterLayout.tsx",
    "content": "\"use client\";\n\nimport { useTranslation } from \"react-i18next\";\nimport Link from \"next/link\";\nimport { APP_VERSION } from \"@/const/constants\";\nimport { useDeployment } from \"@/components/providers/deploymentProvider\";\n\n/**\n * Footer component with copyright, version, and links\n * Displays at the bottom of the page\n */\nexport function FooterLayout() {\n  const { t } = useTranslation(\"common\");\n  const { appVersion } = useDeployment();\n\n  return (\n    <div className=\"py-[9px] px-4 w-full flex items-center justify-between border-t border-b\">\n      <div className=\"flex items-center gap-8\">\n        <span className=\"text-sm text-slate-900 dark:text-white\">\n          {t(\"page.copyright\", { year: new Date().getFullYear() })}\n          <span className=\"ml-1\">· {appVersion || APP_VERSION}</span>\n        </span>\n      </div>\n      <div className=\"flex items-center gap-6\">\n        <Link\n          href=\"https://github.com/nexent-hub/nexent?tab=License-1-ov-file#readme\"\n          className=\"text-sm text-slate-600 hover:text-slate-900 dark:text-slate-400 dark:hover:text-white\"\n        >\n          {t(\"page.termsOfUse\")}\n        </Link>\n        <Link\n          href=\"http://nexent.tech/contact\"\n          className=\"text-sm text-slate-600 hover:text-slate-900 dark:text-slate-300 dark:hover:text-white transition-colors\"\n        >\n          {t(\"page.contactUs\")}\n        </Link>\n        <Link\n          href=\"http://nexent.tech/about\"\n          className=\"text-sm text-slate-600 dark:text-slate-300 dark:hover:text-white transition-colors\"\n        >\n          {t(\"page.aboutUs\")}\n        </Link>\n      </div>\n    </div>\n  );\n}\n"
  },
  {
    "path": "frontend/components/navigation/SideNavigation.tsx",
    "content": "\"use client\";\n\nimport { useState, useEffect, useMemo } from \"react\";\nimport { useTranslation } from \"react-i18next\";\nimport { useRouter, usePathname } from \"next/navigation\";\nimport { Menu, ConfigProvider } from \"antd\";\nimport {\n  Bot,\n  Globe,\n  Zap,\n  Settings,\n  BookOpen,\n  User,\n  Database,\n  ShoppingBag,\n  Code,\n  Home,\n  Puzzle,\n  Activity,\n  Building2,\n} from \"lucide-react\";\nimport type { MenuProps } from \"antd\";\nimport { useAuthorizationContext } from \"@/components/providers/AuthorizationProvider\";\nimport { useAuthenticationContext } from \"@/components/providers/AuthenticationProvider\";\nimport { useDeployment } from \"@/components/providers/deploymentProvider\";\nimport { SIDER_CONFIG } from \"@/const/layoutConstants\";\nimport { AUTH_EVENTS } from \"@/const/auth\";\nimport { getEffectiveRoutePath } from \"@/lib/auth\";\nimport { authEvents } from \"@/lib/authEvents\";\n\ninterface SideNavigationProps {\n  collapsed?: boolean;\n}\n\n/**\n * Route configuration interface for menu items\n */\ninterface RouteConfig {\n  path: string;\n  Icon: React.ComponentType<{ className?: string }>;\n  labelKey: string;\n  order: number;\n}\n\n/**\n * Static route configuration mapping\n * All available routes with their metadata\n */\nconst ROUTE_CONFIG: RouteConfig[] = [\n  { path: \"/\", Icon: Home, labelKey: \"sidebar.homePage\", order: 0 },\n  { path: \"/chat\", Icon: Bot, labelKey: \"sidebar.startChat\", order: 1 },\n  { path: \"/setup\", Icon: Zap, labelKey: \"sidebar.quickConfig\", order: 2 },\n  { path: \"/space\", Icon: Globe, labelKey: \"sidebar.agentSpace\", order: 3 },\n  { path: \"/market\", Icon: ShoppingBag, labelKey: \"sidebar.agentMarket\", order: 4 },\n  { path: \"/agents\", Icon: Code, labelKey: \"sidebar.agentDev\", order: 5 },\n  { path: \"/knowledges\", Icon: BookOpen, labelKey: \"sidebar.knowledgeBase\", order: 6 },\n  { path: \"/mcp-tools\", Icon: Puzzle, labelKey: \"sidebar.mcpToolsManagement\", order: 7 },\n  { path: \"/monitoring\", Icon: Activity, labelKey: \"sidebar.monitoringManagement\", order: 8 },\n  { path: \"/models\", Icon: Settings, labelKey: \"sidebar.modelManagement\", order: 9 },\n  { path: \"/memory\", Icon: Database, labelKey: \"sidebar.memoryManagement\", order: 10 },\n  { path: \"/users\", Icon: User, labelKey: \"sidebar.userManagement\", order: 11 },\n  { path: \"/tenant-resources\", Icon: Building2, labelKey: \"sidebar.tenantResources\", order: 12 },\n];\n\n/**\n * Extract all available route paths from ROUTE_CONFIG\n */\nconst ROUTE_PATHS = ROUTE_CONFIG.map((route) => route.path);\n\n/**\n * Side navigation component with collapsible menu\n * Displays main navigation items for the application based on user's accessible routes\n */\nexport function SideNavigation({\n  collapsed,\n}: SideNavigationProps) {\n  const { t } = useTranslation(\"common\");\n  const { accessibleRoutes } = useAuthorizationContext();\n  const { isAuthenticated, openAuthPromptModal } = useAuthenticationContext();\n  const { isSpeedMode } = useDeployment();\n  const router = useRouter();\n  const pathname = usePathname();\n\n  const [selectedKey, setSelectedKey] = useState(\"/\");\n  const [pendingNavigationPath, setPendingNavigationPath] = useState<string | null>(null);\n  const isCollapsed = typeof collapsed === \"boolean\" ? collapsed : false;\n\n  // Update selected key when pathname changes\n  useEffect(() => {\n    const currentPath = getEffectiveRoutePath(pathname);\n    const matchedKey = ROUTE_PATHS.includes(currentPath) ? currentPath : \"/\";\n    setSelectedKey(matchedKey);\n  }, [pathname]);\n\n  // Listen for login success event and navigate to pending path\n  useEffect(() => {\n    const handleLoginSuccess = () => {\n      if (pendingNavigationPath && isAuthenticated) {\n        // Small delay to ensure authentication state is fully updated\n        setTimeout(() => {\n          router.push(pendingNavigationPath);\n          setPendingNavigationPath(null);\n        }, 200);\n      }\n    };\n\n    const cleanup = authEvents.on(AUTH_EVENTS.LOGIN_SUCCESS, handleLoginSuccess);\n    return cleanup;\n  }, [pendingNavigationPath, isAuthenticated, router]);\n\n  // Listen for back-to-home event and reset selected key\n  useEffect(() => {\n    const handleBackToHome = () => {\n      setSelectedKey(\"/\");\n    };\n\n    const cleanup = authEvents.on(AUTH_EVENTS.BACK_TO_HOME, handleBackToHome);\n    return cleanup;\n  }, []);\n\n  // Filter and sort routes based on accessibleRoutes from authorization context\n  const accessibleMenuItems = useMemo((): RouteConfig[] => {\n    if (!accessibleRoutes || accessibleRoutes.length === 0) {\n      // If no accessibleRoutes available, show all routes (fallback)\n      return [];\n    }\n\n    return ROUTE_CONFIG.filter((route) =>\n      accessibleRoutes.includes(route.path)\n    ).sort((a, b) => a.order - b.order);\n  }, [accessibleRoutes]);\n\n  /**\n   * Create a menu item from route configuration\n   * Pre-check authentication before navigation to avoid unnecessary route changes\n   */\n  const createMenuItem = (\n    route: RouteConfig\n  ): NonNullable<MenuProps[\"items\"]>[number] => {\n    return {\n      key: route.path,\n      icon: <route.Icon className=\"w-4 h-4\" />,\n      label: t(route.labelKey),\n      onClick: () => {\n        setSelectedKey(route.path);\n\n        // Pre-check authentication - show auth prompt if user is not authenticated\n        if (!isAuthenticated && !isSpeedMode && route.path !== \"/\") {\n          setPendingNavigationPath(route.path);\n          openAuthPromptModal();\n          return; // Prevent navigation\n        }\n\n        router.push(route.path);\n      },\n    };\n  };\n\n  // Generate menu items from accessible routes\n  const menuItems: MenuProps[\"items\"] = accessibleMenuItems.map(createMenuItem);\n\n  return (\n    <ConfigProvider>\n      <div className=\"relative\">\n        <div\n          className=\"flex-shrink-0\"\n          style={{\n            width: isCollapsed\n              ? SIDER_CONFIG.COLLAPSED_WIDTH\n              : SIDER_CONFIG.EXPANDED_WIDTH,\n          }}\n        >\n          <div className=\"py-2 h-full\">\n            <Menu\n              mode=\"inline\"\n              inlineCollapsed={isCollapsed}\n              selectedKeys={[selectedKey]}\n              items={menuItems}\n              className=\"bg-transparent border-r-0 h-full\"\n            />\n          </div>\n        </div>\n      </div>\n    </ConfigProvider>\n  );\n}\n"
  },
  {
    "path": "frontend/components/navigation/TopNavbar.tsx",
    "content": "\"use client\";\n\nimport { Button } from \"antd\";\nimport { AvatarDropdown } from \"@/components/auth/avatarDropdown\";\nimport { useTranslation } from \"react-i18next\";\nimport { ChevronDown, Globe } from \"lucide-react\";\nimport { Dropdown } from \"antd\";\nimport Link from \"next/link\";\nimport { HEADER_CONFIG, SIDER_CONFIG } from \"@/const/layoutConstants\";\nimport { languageOptions } from \"@/const/constants\";\nimport { useLanguageSwitch } from \"@/lib/language\";\nimport React from \"react\";\nimport { Flex, Layout } from \"antd\";\nimport { ChatTopNavContent } from \"./ChatTopNavContent\";\nimport { useAuthorizationContext } from \"../providers/AuthorizationProvider\";\nimport { useDeployment } from \"../providers/deploymentProvider\";\nconst { Header } = Layout;\n\nexport function TopNavbar({ isChatPage }: { isChatPage: boolean }) {\n  const { t } = useTranslation(\"common\");\n  const { user, isLoading } = useAuthorizationContext();\n  const { isSpeedMode } = useDeployment()\n  const { currentLanguage, handleLanguageChange } = useLanguageSwitch();\n\n  // Left content - Logo + optional additional title (aligned with sidebar width)\n  const leftContent = (\n    <Flex align=\"center\">\n      {/* Logo section - matches sidebar width */}\n      <Link\n        href=\"/\"\n        className=\"cursor-pointer hover:opacity-80 transition-opacity flex-shrink-0 \"\n        style={{ width: SIDER_CONFIG.EXPANDED_WIDTH - 17 }}\n      >\n        <Flex align=\"center\" gap={8}>\n          <img src=\"/modelengine-logo2.png\" alt=\"ModelEngine\" className=\"h-7\" />\n          <span\n            className=\"text-blue-600 dark:text-blue-500 font-bold\"\n            style={{\n              fontSize: \"20px\",\n              lineHeight: \"24px\",\n              height: \"22px\",\n            }}\n          >\n            {t(\"assistant.name\")}\n          </span>\n        </Flex>\n      </Link>\n\n      {/* Additional title with separator - outside of sidebar width */}\n      {isChatPage && (\n        <Flex align=\"center\" gap={12}>\n          <div className=\"h-6 border-l border-slate-300 dark:border-slate-600\"></div>\n          <div className=\"text-slate-600 dark:text-slate-400\">\n            <ChatTopNavContent />\n          </div>\n        </Flex>\n      )}\n    </Flex>\n  );\n\n  // Right content - Additional content + default navigation items\n  const rightContent = (\n    <Flex align=\"center\" gap={16} className=\"hidden md:flex\">\n\n      {/* GitHub link */}\n      <Link\n        href=\"https://github.com/ModelEngine-Group/nexent\"\n        target=\"_blank\"\n        rel=\"noopener noreferrer\"\n        className=\"text-xs font-medium text-slate-600 hover:text-slate-900 dark:text-slate-300 dark:hover:text-white transition-colors\"\n      >\n        <Flex align=\"center\" gap={4}>\n          <svg\n            height=\"16\"\n            width=\"16\"\n            viewBox=\"0 0 16 16\"\n            fill=\"currentColor\"\n            aria-hidden=\"true\"\n          >\n            <path d=\"M8 0C3.58 0 0 3.58 0 8c0 3.54 2.29 6.53 5.47 7.59.4.07.55-.17.55-.38 0-.19-.01-.82-.01-1.49-2.01.37-2.53-.49-2.69-.94-.09-.23-.48-.94-.82-1.13-.28-.15-.68-.52-.01-.53.63-.01 1.08.58 1.23.82.72 1.21 1.87.87 2.33.66.07-.52.28-.87.51-1.07-1.78-.2-3.64-.89-3.64-3.95 0-.87.31-1.59.82-2.15-.08-.2-.36-1.02.08-2.12 0 0 .67-.21 2.2.82a7.65 7.65 0 0 1 2-.27c.68 0 1.36.09 2 .27 1.53-1.04 2.2-.82 2.2-.82.44 1.1.16 1.92.08 2.12.51.56.82 1.27.82 2.15 0 3.07-1.87 3.75-3.65 3.95.29.25.54.73.54 1.48 0 1.07-.01 1.93-.01 2.19 0 .21.15.46.55.38A8.013 8.013 0 0 0 16 8c0-4.42-3.58-8-8-8z\"></path>\n          </svg>\n          Github\n        </Flex>\n      </Link>\n\n      {/* ModelEngine link */}\n      <Link\n        href=\"http://modelengine-ai.net\"\n        className=\"text-xs font-medium text-slate-600 hover:text-slate-900 dark:text-slate-300 dark:hover:text-white transition-colors\"\n      >\n        ModelEngine\n      </Link>\n\n      {/* Language switcher */}\n      <Dropdown\n        menu={{\n          items: languageOptions.map((opt) => ({\n            key: opt.value,\n            label: opt.label,\n          })),\n          onClick: ({ key }) => handleLanguageChange(key as string),\n        }}\n      >\n        <a className=\"ant-dropdown-link text-xs font-medium text-slate-600 hover:text-slate-900 dark:text-slate-300 dark:hover:text-white transition-colors cursor-pointer w-[90px] border-0 shadow-none bg-transparent text-left\">\n          <Flex align=\"center\" gap={6}>\n            <Globe className=\"h-3.5 w-3.5\" />\n            {languageOptions.find((o) => o.value === currentLanguage)?.label ||\n              currentLanguage}\n            <ChevronDown size={12} />\n          </Flex>\n        </a>\n      </Dropdown>\n\n      {/* User status - only shown in full version */}\n      {!isSpeedMode && (\n        <Flex align=\"center\" gap={8}>\n          {isLoading ? (\n            <span className=\"text-xs font-medium text-slate-600\">\n              {t(\"common.loading\")}...\n            </span>\n          ) : user ? (\n            <span className=\"text-xs font-medium text-slate-600 max-w-[150px] truncate\">\n              {user.email}\n            </span>\n          ) : null}\n          <AvatarDropdown />\n        </Flex>\n      )}\n    </Flex>\n  );\n\n  return (\n    <Header\n      className=\"w-full py-3 px-4 border-b border-slate-200 dark:border-slate-700 bg-white/80 dark:bg-slate-900/80 backdrop-blur-sm fixed top-0 z-50\"\n      style={{ height: HEADER_CONFIG.DISPLAY_HEIGHT }}\n    >\n      <Flex align=\"center\" justify=\"space-between\" className=\"h-full\">\n        {/* Left section - Logo + additional title */}\n        {leftContent}\n\n        {/* Right section - Additional content + default navigation */}\n        {rightContent}\n\n        {/* Mobile hamburger menu button */}\n        <Button type=\"text\" size=\"small\" className=\"md:hidden h-5 w-5 p-0\">\n          <svg\n            xmlns=\"http://www.w3.org/2000/svg\"\n            width=\"20\"\n            height=\"20\"\n            viewBox=\"0 0 24 24\"\n            fill=\"none\"\n            stroke=\"currentColor\"\n            strokeWidth=\"2\"\n            strokeLinecap=\"round\"\n            strokeLinejoin=\"round\"\n            className=\"h-5 w-5\"\n          >\n            <line x1=\"4\" x2=\"20\" y1=\"12\" y2=\"12\" />\n            <line x1=\"4\" x2=\"20\" y1=\"6\" y2=\"6\" />\n            <line x1=\"4\" x2=\"20\" y1=\"18\" y2=\"18\" />\n          </svg>\n        </Button>\n      </Flex>\n    </Header>\n  );\n}\n"
  },
  {
    "path": "frontend/components/permission/Can.tsx",
    "content": "\"use client\";\n\nimport React from \"react\";\nimport { usePermission } from \"@/hooks/permission/usePermission\";\n\ninterface CanProps {\n  permission: string | string[];\n  children: React.ReactNode;\n  fallback?: React.ReactNode;\n}\n\n/**\n * Render children only when user HAS the permission\n * \n * @example\n * ```tsx\n * <Can permission=\"kb:create\">\n *   <Button>Create k</Button>\n * </Can>\n * \n * <Can permission={[\"kb:delete\", \"kb.groups:delete\"]}>\n *   <DeleteButton />\n * </Can>\n * ```\n */\nexport function Can({ permission, children, fallback = null }: CanProps) {\n  const { isReady, can, canAny } = usePermission();\n\n  if (!isReady) return null;\n\n  const hasPermission = Array.isArray(permission)\n    ? canAny(permission)\n    : can(permission);\n\n  return hasPermission ? <>{children}</> : <>{fallback}</>;\n}\n"
  },
  {
    "path": "frontend/components/permission/Cannot.tsx",
    "content": "\"use client\";\n\nimport React from \"react\";\nimport { usePermission } from \"@/hooks/permission/usePermission\";\n\ninterface CannotProps {\n  permission: string | string[];\n  children: React.ReactNode;\n  fallback?: React.ReactNode;\n}\n\n/**\n * Render children only when user does NOT have the permission\n * \n * @example\n * ```tsx\n * <Cannot permission=\"kb:delete\">\n *   <Button disabled>Delete</Button>\n * </Cannot>\n * ```\n */\nexport function Cannot({ permission, children, fallback = null }: CannotProps) {\n  const { isReady, can, canAny } = usePermission();\n\n  if (!isReady) return null;\n\n  const hasPermission = Array.isArray(permission)\n    ? canAny(permission)\n    : can(permission);\n\n  return !hasPermission ? <>{children}</> : <>{fallback}</>;\n}\n"
  },
  {
    "path": "frontend/components/providers/AuthenticationProvider.tsx",
    "content": "\"use client\";\n\nimport React, { createContext, useContext, ReactNode } from \"react\";\nimport { useAuthentication } from \"@/hooks/auth/useAuthentication\";\nimport { AuthenticationContextType } from \"@/types/auth\";\n\n/**\n * Authentication Context\n */\nconst AuthenticationContext = createContext<\n  AuthenticationContextType | undefined\n>(undefined);\n\n/**\n * Authentication Provider Component\n * Provides authentication state and methods to the component tree\n */\nexport function AuthenticationProvider({ children }: { children?: ReactNode }) {\n  const authValue = useAuthentication();\n\n  return (\n    <AuthenticationContext.Provider value={authValue}>\n      {children}\n    </AuthenticationContext.Provider>\n  );\n}\n\n/**\n * Hook to use authentication context\n */\nexport function useAuthenticationContext(): AuthenticationContextType {\n  const context = useContext(AuthenticationContext);\n  if (context === undefined) {\n    throw new Error(\n      \"useAuthenticationContext must be used within an AuthenticationProvider\"\n    );\n  }\n  return context;\n}\n\n// Export context for advanced use cases\nexport { AuthenticationContext };\n"
  },
  {
    "path": "frontend/components/providers/AuthorizationProvider.tsx",
    "content": "\"use client\";\n\nimport React, { createContext, useContext, ReactNode } from \"react\";\nimport { useAuthorization } from \"@/hooks/auth/useAuthorization\";\nimport { AuthorizationContextType } from \"@/types/auth\";\n\n/**\n * Authorization Context\n */\nconst AuthorizationContext = createContext<\n  AuthorizationContextType | undefined\n>(undefined);\n\n/**\n * Authorization Provider Component\n * Provides authorization state and methods to the component tree\n */\nexport function AuthorizationProvider({ children }: { children?: ReactNode }) {\n  const authzValue = useAuthorization();\n\n  return (\n    <AuthorizationContext.Provider value={authzValue}>\n      {children}\n    </AuthorizationContext.Provider>\n  );\n}\n\n/**\n * Hook to use authorization context\n */\nexport function useAuthorizationContext(): AuthorizationContextType {\n  const context = useContext(AuthorizationContext);\n  if (context === undefined) {\n    throw new Error(\n      \"useAuthorizationContext must be used within an AuthorizationProvider\"\n    );\n  }\n  return context;\n}\n\n// Export context for advanced use cases\nexport { AuthorizationContext };\n"
  },
  {
    "path": "frontend/components/providers/I18nProviderWrapper.tsx",
    "content": "\"use client\";\n\nimport { ReactNode, useEffect, useState } from \"react\";\nimport { usePathname } from \"next/navigation\";\nimport { I18nextProvider } from \"react-i18next\";\n\nimport i18n from \"@/app/i18n\";\n\ninterface I18nProviderWrapperProps {\n  children: ReactNode;\n  locale?: string;\n}\n\nexport default function I18nProviderWrapper({\n  children,\n  locale: initialLocale,\n}: I18nProviderWrapperProps) {\n  const [mounted, setMounted] = useState(false);\n  const pathname = usePathname();\n\n  useEffect(() => {\n    setMounted(true);\n  }, []);\n\n  // Initialize i18n language from props or URL\n  useEffect(() => {\n    if (!mounted) return;\n\n    // If locale is provided via props, use it\n    if (initialLocale && (initialLocale === \"zh\" || initialLocale === \"en\")) {\n      if (i18n.language !== initialLocale) {\n        i18n.changeLanguage(initialLocale);\n      }\n      document.cookie = `NEXT_LOCALE=${initialLocale}; path=/; max-age=31536000`;\n      return;\n    }\n\n    // Fallback: synchronize i18n language according to the URL\n    const segments = pathname.split(\"/\").filter(Boolean);\n    const urlLocale = segments[0];\n\n    if (urlLocale === \"zh\" || urlLocale === \"en\") {\n      if (i18n.language !== urlLocale) {\n        i18n.changeLanguage(urlLocale);\n      }\n      document.cookie = `NEXT_LOCALE=${urlLocale}; path=/; max-age=31536000`;\n    }\n  }, [initialLocale, pathname, mounted]);\n\n  if (!mounted) {\n    return null;\n  }\n\n  return <I18nextProvider i18n={i18n}>{children}</I18nextProvider>;\n}\n"
  },
  {
    "path": "frontend/components/providers/deploymentProvider.tsx",
    "content": "\"use client\";\n\nimport {\n  createContext,\n  useContext,\n  useState,\n  useEffect,\n  ReactNode,\n} from \"react\";\nimport { API_ENDPOINTS, fetchWithErrorHandling } from \"@/services/api\";\nimport { APP_VERSION } from \"@/const/constants\";\nimport log from \"@/lib/logger\";\n\ninterface DeploymentContextType {\n  isSpeedMode: boolean;\n  isDeploymentReady: boolean;\n  appVersion: string;\n  deploymentVersion: string;\n}\n\nconst DeploymentContext = createContext<DeploymentContextType>({\n  isSpeedMode: false,\n  isDeploymentReady: false,\n  appVersion: APP_VERSION,\n  deploymentVersion: \"\",\n});\n\ninterface DeploymentVersionResponse {\n  deployment_version: string;\n  app_version: string;\n  status: string;\n}\n\nexport function DeploymentProvider({ children }: { children: ReactNode }) {\n  const [isSpeedMode, setIsSpeedMode] = useState(false);\n  const [isDeploymentReady, setIsDeploymentReady] = useState(false);\n  const [appVersion, setAppVersion] = useState(APP_VERSION);\n  const [deploymentVersion, setDeploymentVersion] = useState(\"\");\n\n  useEffect(() => {\n    const fetchDeploymentInfo = async () => {\n      try {\n        const response = await fetchWithErrorHandling(\n          API_ENDPOINTS.tenantConfig.deploymentVersion\n        );\n        const data: DeploymentVersionResponse = await response.json();\n        setDeploymentVersion(data.deployment_version);\n        setIsSpeedMode(data.deployment_version === \"speed\");\n        if (data.app_version) {\n          setAppVersion(data.app_version);\n        }\n      } catch (error) {\n        log.error(\"Failed to fetch deployment info:\", error);\n        setIsSpeedMode(false);\n      } finally {\n        setIsDeploymentReady(true);\n      }\n    };\n\n    fetchDeploymentInfo();\n  }, []);\n\n  return (\n    <DeploymentContext.Provider\n      value={{ isSpeedMode, isDeploymentReady, appVersion, deploymentVersion }}\n    >\n      {children}\n    </DeploymentContext.Provider>\n  );\n}\n\nexport const useDeployment = () => useContext(DeploymentContext);\n"
  },
  {
    "path": "frontend/components/providers/rootProvider.tsx",
    "content": "\"use client\";\n\nimport { ReactNode } from \"react\";\nimport { ConfigProvider, App } from \"antd\";\nimport { QueryClient, QueryClientProvider } from \"@tanstack/react-query\";\n\nimport {\n  AuthenticationProvider,\n  useAuthenticationContext,\n} from \"@/components/providers/AuthenticationProvider\";\nimport {\n  AuthorizationProvider,\n  useAuthorizationContext,\n} from \"@/components/providers/AuthorizationProvider\";\n\nimport { LoginModal } from \"@/components/auth/loginModal\";\nimport { RegisterModal } from \"@/components/auth/registerModal\";\nimport { FullScreenLoading } from \"@/components/ui/loading\";\nimport { useDeployment } from \"./deploymentProvider\";\nimport { useSessionManager } from \"@/hooks/auth/useSessionManager\";\n\nfunction AppReadyWrapper({ children }: { children?: ReactNode }) {\n  useSessionManager();\n\n  const { isDeploymentReady, isSpeedMode } = useDeployment();\n  const auth = useAuthenticationContext();\n  const authz = useAuthorizationContext();\n\n  // In speed mode, skip auth checks since authentication is bypassed\n  // isAuthChecking: allow rendering during auth state check to avoid blocking UI\n  const isAuthReady = isSpeedMode || !auth.isLoading || auth.isAuthenticated || auth.isAuthChecking;\n  const isAuthzReady = isSpeedMode || !authz.isLoading || auth.isAuthenticated || auth.isAuthChecking;\n  const isAppReady = isDeploymentReady && isAuthReady && isAuthzReady;\n\n  // If login or register modal is open, user is performing an operation,\n  // don't show full screen loading (they can already see the page)\n  const isUserOperating = auth.isLoginModalOpen || auth.isRegisterModalOpen;\n  \n  // Only show FullScreenLoading during initial load, not during user operations\n  if (isAppReady || isUserOperating) {\n    return <>{children}</>;\n  }\n  \n  return <FullScreenLoading />;\n}\n\n/**\n * RootProvider Component\n * Integrates all necessary providers for the application\n */\nexport function RootProvider({ children }: { children: ReactNode }) {\n  return (\n    <ConfigProvider getPopupContainer={() => document.body}>\n      <QueryClientProvider client={queryClient}>\n        <App>\n            <AuthenticationProvider>\n              <AuthorizationProvider>\n                <AppReadyWrapper>\n                  <>{children}</>\n                </AppReadyWrapper>\n                <LoginModal />\n                <RegisterModal />\n              </AuthorizationProvider>\n            </AuthenticationProvider>\n        </App>\n      </QueryClientProvider>\n    </ConfigProvider>\n  );\n}\n\n// Create a single QueryClient instance for the application\nconst queryClient = new QueryClient();\n"
  },
  {
    "path": "frontend/components/tool-config/KnowledgeBaseSelectorModal.tsx",
    "content": "\"use client\";\n\nimport React, { useState, useMemo, useCallback, useEffect } from \"react\";\nimport { useTranslation } from \"react-i18next\";\n\nimport {\n  Modal,\n  Button,\n  Input,\n  Select,\n  Spin,\n  Checkbox,\n  ConfigProvider,\n} from \"antd\";\nimport {\n  SearchOutlined,\n  SyncOutlined,\n} from \"@ant-design/icons\";\n\nimport { KnowledgeBase } from \"@/types/knowledgeBase\";\nimport { KB_LAYOUT, KB_TAG_VARIANTS } from \"@/const/knowledgeBaseLayout\";\n\ninterface KnowledgeBaseSelectorProps {\n  isOpen: boolean;\n  onClose: () => void;\n  onConfirm: (selectedKnowledgeBases: KnowledgeBase[]) => void;\n  selectedIds: string[];\n  toolType: \"knowledge_base_search\" | \"dify_search\" | \"datamate_search\" | \"idata_search\";\n  title?: string;\n  maxSelect?: number;\n  showCreateButton?: boolean;\n  showDeleteButton?: boolean;\n  showCheckbox?: boolean;\n  // Dify/iData configuration for fetching knowledge bases\n  difyConfig?: {\n    serverUrl?: string;\n    apiKey?: string;\n    userId?: string;\n    knowledgeSpaceId?: string;\n  };\n}\n\nfunction getKnowledgeBaseSourcesForTool(\n  toolType: \"knowledge_base_search\" | \"dify_search\" | \"datamate_search\" | \"idata_search\"\n): string[] {\n  switch (toolType) {\n    case \"knowledge_base_search\":\n      return [\"nexent\"];\n    case \"dify_search\":\n      return [\"dify\"];\n    case \"datamate_search\":\n      return [\"datamate\"];\n    case \"idata_search\":\n      return [\"idata\"];\n    default:\n      return [\"nexent\"];\n  }\n}\n\ninterface KnowledgeBaseSelectorModalProps extends KnowledgeBaseSelectorProps {\n  knowledgeBases: KnowledgeBase[];\n  isLoading?: boolean;\n  getModelDisplayName?: (modelId: string) => string;\n  onSync?: (\n    toolType: string,\n    difyConfig?: { serverUrl?: string; apiKey?: string }\n  ) => void;\n  showCheckbox?: boolean;\n  onSyncComplete?: (knowledgeBases: KnowledgeBase[]) => void;\n  syncLoading?: boolean; // Loading state for sync button\n  // Selection validation props\n  isSelectable?: (kb: KnowledgeBase) => boolean;\n  currentEmbeddingModel?: string | null;\n  // Dify/iData configuration for fetching knowledge bases\n  difyConfig?: {\n    serverUrl?: string;\n    apiKey?: string;\n    userId?: string;\n    knowledgeSpaceId?: string;\n  };\n}\n\nexport default function KnowledgeBaseSelectorModal({\n  isOpen,\n  onClose,\n  onConfirm,\n  selectedIds,\n  toolType,\n  title,\n  maxSelect,\n  knowledgeBases,\n  isLoading = false,\n  getModelDisplayName = (modelId: string) => modelId,\n  onSync,\n  showCheckbox = true,\n  onSyncComplete,\n  syncLoading = false,\n  isSelectable,\n  currentEmbeddingModel = null,\n  difyConfig,\n}: KnowledgeBaseSelectorModalProps) {\n  const { t } = useTranslation(\"common\");\n\n  // Selection state (kept for internal logic but not displayed)\n  const [tempSelectedIds, setTempSelectedIds] = useState<string[]>([]);\n  // Search and filter state\n  const [searchKeyword, setSearchKeyword] = useState(\"\");\n  const [selectedSources, setSelectedSources] = useState<string[]>([]);\n  const [selectedModels, setSelectedModels] = useState<string[]>([]);\n\n  // Initialize selection state when modal opens\n  useEffect(() => {\n    if (isOpen) {\n      setTempSelectedIds(selectedIds);\n      setSearchKeyword(\"\");\n      setSelectedSources([]);\n      setSelectedModels([]);\n    }\n  }, [isOpen]);\n\n  // Sync tempSelectedIds whenever selectedIds changes while modal is open\n  // This ensures selected knowledge bases are always shown correctly\n  // especially when URL/API key changes in the parent component\n  useEffect(() => {\n    if (isOpen) {\n      setTempSelectedIds(selectedIds);\n    }\n  }, [isOpen, selectedIds]);\n\n  // Clear selection when knowledge bases list becomes empty\n  // This handles cases where the URL/API key is changed and no knowledge bases are available\n  useEffect(() => {\n    if (isOpen && knowledgeBases.length === 0 && selectedIds.length > 0) {\n      setTempSelectedIds([]);\n    }\n  }, [isOpen, knowledgeBases, selectedIds]);\n\n  // Get allowed sources for the tool type\n  const allowedSources = useMemo(() => {\n    return getKnowledgeBaseSourcesForTool(toolType);\n  }, [toolType]);\n\n  // Calculate available filter options based on actual knowledge bases\n  const availableSources = useMemo(() => {\n    const sources = new Set(knowledgeBases.map((kb) => kb.source));\n    return Array.from(sources)\n      .filter((source) => source && allowedSources.includes(source))\n      .sort();\n  }, [knowledgeBases, allowedSources]);\n\n  const availableModels = useMemo(() => {\n    const models = new Set(knowledgeBases.map((kb) => kb.embeddingModel));\n    return Array.from(models)\n      .filter((model) => model && model !== \"unknown\")\n      .sort();\n  }, [knowledgeBases]);\n\n  // Format date function, only keep date part\n  const formatDate = useCallback((dateValue: any) => {\n    try {\n      const date =\n        typeof dateValue === \"number\"\n          ? new Date(dateValue)\n          : new Date(dateValue);\n      return isNaN(date.getTime())\n        ? String(dateValue ?? \"\")\n        : date.toISOString().split(\"T\")[0];\n    } catch (e) {\n      return String(dateValue ?? \"\");\n    }\n  }, []);\n\n  // Check if a knowledge base can be selected\n  const checkCanSelect = useCallback(\n    (kb: KnowledgeBase): boolean => {\n      // If custom isSelectable function is provided, use it\n      if (isSelectable) {\n        return isSelectable(kb);\n      }\n\n      // Default selection logic:\n      // 1. Empty knowledge bases cannot be selected\n      const isEmpty =\n        (kb.documentCount || 0) === 0 && (kb.chunkCount || 0) === 0;\n      if (isEmpty) {\n        return false;\n      }\n\n      // 2. For nexent source, check model matching\n      if (kb.source === \"nexent\" && currentEmbeddingModel) {\n        if (\n          kb.embeddingModel &&\n          kb.embeddingModel !== \"unknown\" &&\n          kb.embeddingModel !== currentEmbeddingModel\n        ) {\n          return false;\n        }\n      }\n\n      return true;\n    },\n    [isSelectable, currentEmbeddingModel]\n  );\n\n  // Check if a knowledge base has model mismatch (for display purposes)\n  const checkModelMismatch = useCallback(\n    (kb: KnowledgeBase): boolean => {\n      if (kb.source !== \"nexent\" || !currentEmbeddingModel) {\n        return false;\n      }\n      const embeddingModel = kb.embeddingModel;\n      return Boolean(\n        embeddingModel &&\n        embeddingModel !== \"unknown\" &&\n        embeddingModel !== currentEmbeddingModel\n      );\n    },\n    [currentEmbeddingModel]\n  );\n\n  // Filter knowledge bases based on tool type, search, and filters\n  const filteredKnowledgeBases = useMemo(() => {\n    let filtered = knowledgeBases.filter((kb) => {\n      // Filter by tool type source\n      if (!allowedSources.includes(kb.source)) {\n        return false;\n      }\n\n      // Keyword search\n      const keyword = searchKeyword.trim();\n      if (keyword) {\n        const matchesSearch =\n          kb.name.toLowerCase().includes(keyword.toLowerCase()) ||\n          (kb.description &&\n            kb.description.toLowerCase().includes(keyword.toLowerCase())) ||\n          (kb.nickname &&\n            kb.nickname.toLowerCase().includes(keyword.toLowerCase()));\n        if (!matchesSearch) return false;\n      }\n\n      // Source filter\n      if (selectedSources.length > 0 && !selectedSources.includes(kb.source)) {\n        return false;\n      }\n\n      // Model filter\n      if (\n        selectedModels.length > 0 &&\n        !selectedModels.includes(kb.embeddingModel)\n      ) {\n        return false;\n      }\n\n      return true;\n    });\n\n    // Sort by update time (latest first)\n    filtered = [...filtered].sort((a, b) => {\n      const aTime = a.updatedAt ? new Date(a.updatedAt).getTime() : 0;\n      const bTime = b.updatedAt ? new Date(b.updatedAt).getTime() : 0;\n      return bTime - aTime;\n    });\n\n    return filtered;\n  }, [\n    knowledgeBases,\n    allowedSources,\n    searchKeyword,\n    selectedSources,\n    selectedModels,\n  ]);\n\n  // Toggle selection (still needed for confirm)\n  const toggleSelection = useCallback(\n    (id: string) => {\n      // Find the knowledge base\n      const kb = knowledgeBases.find((k) => k.id === id);\n      if (!kb) return;\n\n      // Check if can be selected\n      if (!checkCanSelect(kb)) {\n        return;\n      }\n\n      setTempSelectedIds((prev) => {\n        if (prev.includes(id)) {\n          return prev.filter((itemId) => itemId !== id);\n        }\n\n        // Check max select limit\n        if (maxSelect && prev.length >= maxSelect) {\n          return prev;\n        }\n\n        return [...prev, id];\n      });\n    },\n    [knowledgeBases, maxSelect, checkCanSelect]\n  );\n\n  // Clear all selections\n  const clearAllSelections = useCallback(() => {\n    setTempSelectedIds([]);\n  }, []);\n\n  // Handle confirm\n  const handleConfirm = useCallback(() => {\n    const selectedKnowledgeBases = knowledgeBases.filter((kb) =>\n      tempSelectedIds.includes(kb.id)\n    );\n    onConfirm(selectedKnowledgeBases);\n    onClose();\n  }, [knowledgeBases, tempSelectedIds, onConfirm, onClose]);\n\n  // Handle cancel\n  const handleCancel = useCallback(() => {\n    setTempSelectedIds(selectedIds);\n    onClose();\n  }, [selectedIds, onClose]);\n\n  // Default title based on tool type\n  const defaultTitle = useMemo(() => {\n    const titles: Record<string, string> = {\n      knowledge_base_search: t(\"toolConfig.knowledgeBaseSelector.title.local\"),\n      dify_search: t(\"toolConfig.knowledgeBaseSelector.title.dify\"),\n      datamate_search: t(\"toolConfig.knowledgeBaseSelector.title.datamate\"),\n    };\n    return (\n      titles[toolType] || t(\"toolConfig.knowledgeBaseSelector.title.default\")\n    );\n  }, [toolType, t]);\n\n  return (\n    <Modal\n      title={title || defaultTitle}\n      open={isOpen}\n      onCancel={handleCancel}\n      onOk={handleConfirm}\n      okText={t(\"common.confirm\")}\n      cancelText={t(\"common.cancel\")}\n      width={800}\n      className=\"knowledge-base-selector-modal\"\n      styles={{\n        body: {\n          maxHeight: \"70vh\",\n          overflow: \"hidden\",\n          display: \"flex\",\n          flexDirection: \"column\",\n          padding: 0,\n        },\n      }}\n    >\n      {/* Fixed header area - consistent with KnowledgeBaseList */}\n      <div\n        className={`${KB_LAYOUT.HEADER_PADDING} border-b border-gray-200 shrink-0 bg-white`}\n      >\n        <div className=\"flex items-center justify-between\">\n          <div>\n            <h3\n              className={`${KB_LAYOUT.TITLE_MARGIN} ${KB_LAYOUT.TITLE_TEXT} text-gray-800`}\n            >\n              {t(\"knowledgeBase.list.title\")}\n            </h3>\n          </div>\n          <div className=\"flex items-center\" style={{ gap: \"8px\" }}>\n            <Button\n              style={{\n                padding: \"4px 15px\",\n                display: \"inline-flex\",\n                alignItems: \"center\",\n                justifyContent: \"center\",\n                gap: \"8px\",\n                backgroundColor: \"#1677ff\",\n                color: \"white\",\n                border: \"none\",\n              }}\n              className=\"hover:!bg-blue-600\"\n              type=\"primary\"\n              onClick={() => {\n                // Call the onSync callback with difyConfig and notify parent when complete\n                const syncResult = onSync?.(toolType, difyConfig);\n                // Check if the result is a Promise-like object\n                if (\n                  syncResult &&\n                  typeof (syncResult as Promise<void>).then === \"function\"\n                ) {\n                  (syncResult as Promise<void>).then(() => {\n                    // After sync completes, trigger onSyncComplete if provided\n                    // The parent will refresh the knowledgeBases list\n                    onSyncComplete?.(knowledgeBases);\n                  });\n                } else {\n                  // If onSync doesn't return a promise, still call onSyncComplete\n                  onSyncComplete?.(knowledgeBases);\n                }\n              }}\n            >\n              <span\n                style={{\n                  display: \"inline-flex\",\n                  alignItems: \"center\",\n                  justifyContent: \"center\",\n                  width: \"14px\",\n                  height: \"14px\",\n                }}\n              >\n                <SyncOutlined spin={syncLoading} style={{ color: \"white\" }} />\n              </span>\n              <span>{t(\"knowledgeBase.button.sync\")}</span>\n            </Button>\n          </div>\n        </div>\n\n        {/* Search and filter area */}\n        <div className=\"mt-3 flex items-center gap-3\">\n          <Input\n            placeholder={t(\"knowledgeBase.search.placeholder\")}\n            prefix={<SearchOutlined />}\n            value={searchKeyword}\n            onChange={(e) => setSearchKeyword(e.target.value)}\n            style={{ width: 250 }}\n            allowClear\n          />\n\n          {availableSources.length > 0 && (\n            <Select\n              mode=\"multiple\"\n              placeholder={t(\"knowledgeBase.filter.source.placeholder\")}\n              value={selectedSources}\n              onChange={setSelectedSources}\n              style={{ minWidth: 150 }}\n              allowClear\n              maxTagCount={2}\n            >\n              {availableSources.map((source) => (\n                <Select.Option key={source} value={source}>\n                  {t(`knowledgeBase.source.${source}`, {\n                    defaultValue: source,\n                  })}\n                </Select.Option>\n              ))}\n            </Select>\n          )}\n\n          {availableModels.length > 0 && (\n            <Select\n              mode=\"multiple\"\n              placeholder={t(\"knowledgeBase.filter.model.placeholder\")}\n              value={selectedModels}\n              onChange={setSelectedModels}\n              style={{ minWidth: 180 }}\n              allowClear\n              maxTagCount={2}\n            >\n              {availableModels.map((model) => (\n                <Select.Option key={model} value={model}>\n                  {getModelDisplayName(model)}\n                </Select.Option>\n              ))}\n            </Select>\n          )}\n        </div>\n      </div>\n\n      {/* Fixed selection status area */}\n      <div className=\"border-b border-gray-200 shrink-0 relative z-10 shadow-md\">\n        <div className=\"px-5 py-2 bg-blue-50\">\n          <div className=\"flex items-center justify-between\">\n            <div className=\"flex items-center\">\n              <span className=\"font-medium text-blue-700\">\n                {t(\"knowledgeBase.selected.prefix\")}{\" \"}\n              </span>\n              <span className=\"mx-1 text-blue-600 font-bold text-lg\">\n                {tempSelectedIds.length}\n              </span>\n              <span className=\"font-medium text-blue-700\">\n                {t(\"knowledgeBase.selected.suffix\")}\n              </span>\n            </div>\n            <div className=\"flex items-center gap-2\">\n              {/* Select All button */}\n              {filteredKnowledgeBases.length > 0 &&\n                tempSelectedIds.length < filteredKnowledgeBases.length && (\n                  <Button\n                    type=\"link\"\n                    size=\"small\"\n                    className=\"text-blue-600 font-medium p-0 h-auto\"\n                    onClick={() => {\n                      // Only select knowledge bases that can be selected\n                      const selectableIds = filteredKnowledgeBases\n                        .filter((kb) => checkCanSelect(kb))\n                        .map((kb) => kb.id);\n\n                      // Apply maxSelect limit if set\n                      if (maxSelect) {\n                        const remainingSlots =\n                          maxSelect - tempSelectedIds.length;\n                        if (remainingSlots > 0) {\n                          // Add selectable IDs that aren't already selected\n                          const availableToAdd = selectableIds.filter(\n                            (id) => !tempSelectedIds.includes(id)\n                          );\n                          // Limit to remaining slots\n                          const newIds = availableToAdd.slice(\n                            0,\n                            remainingSlots\n                          );\n                          setTempSelectedIds([...tempSelectedIds, ...newIds]);\n                          return;\n                        }\n                      }\n\n                      setTempSelectedIds(selectableIds);\n                    }}\n                  >\n                    {t(\"knowledgeBase.button.selectAll\")}\n                  </Button>\n                )}\n              {/* Clear Selection button */}\n              {tempSelectedIds.length > 0 && (\n                <Button\n                  type=\"link\"\n                  size=\"small\"\n                  danger\n                  className=\"font-medium p-0 h-auto\"\n                  onClick={clearAllSelections}\n                >\n                  {t(\"knowledgeBase.button.clearSelection\")}\n                </Button>\n              )}\n            </div>\n          </div>\n\n          {tempSelectedIds.length > 0 && (\n            <div className=\"flex flex-wrap gap-1.5 mt-2 mb-1\">\n              {tempSelectedIds.map((id) => {\n                const kb = knowledgeBases.find((kb) => kb.id === id);\n                return kb ? (\n                  <span\n                    key={id}\n                    className=\"inline-flex items-center justify-center bg-blue-100 text-blue-800 rounded text-sm font-medium group\"\n                    style={{ maxWidth: \"fit-content\", padding: \"2px 6px\" }}\n                  >\n                    <span\n                      className=\"truncate\"\n                      style={{\n                        maxWidth: \"150px\",\n                        ...KB_LAYOUT.KB_NAME_OVERFLOW,\n                      }}\n                      title={kb.name}\n                    >\n                      {kb.name}\n                    </span>\n                    <button\n                      className=\"ml-1.5 text-blue-600 hover:text-blue-800 flex-shrink-0 text-sm leading-none\"\n                      onClick={() => toggleSelection(id)}\n                      aria-label={t(\"knowledgeBase.button.removeKb\", {\n                        name: kb.name,\n                      })}\n                    >\n                      ×\n                    </button>\n                  </span>\n                ) : null;\n              })}\n            </div>\n          )}\n        </div>\n      </div>\n\n      {/* Knowledge base list - consistent with KnowledgeBaseList */}\n      <div className=\"flex-1 overflow-y-auto overflow-x-hidden bg-white\">\n        {isLoading ? (\n          <div className=\"flex items-center justify-center h-full\">\n            <Spin tip={t(\"common.loading\")} />\n          </div>\n        ) : filteredKnowledgeBases.length > 0 ? (\n          <div className=\"divide-y-0\">\n            {filteredKnowledgeBases.map((kb, index) => {\n              // Use a more robust ID comparison to handle potential format differences\n              const isSelected = tempSelectedIds.some(\n                (selectedId) =>\n                  String(selectedId).trim() === String(kb.id).trim()\n              );\n              const canSelect = checkCanSelect(kb);\n              const hasModelMismatch = checkModelMismatch(kb);\n\n              return (\n                <div\n                  key={kb.id}\n                  className={`${KB_LAYOUT.ROW_PADDING} px-2 hover:bg-gray-50 transition-colors ${!canSelect ? \"opacity-60\" : \"\"}`}\n                  onClick={() => canSelect && toggleSelection(kb.id)}\n                >\n                  <div className=\"flex items-start\">\n                    {showCheckbox && (\n                      <div\n                        className=\"kb-checkbox-wrapper px-2\"\n                        onClick={(e) => {\n                          e.stopPropagation();\n                        }}\n                        style={{\n                          minWidth: \"40px\",\n                          minHeight: \"40px\",\n                          display: \"flex\",\n                          alignItems: \"flex-start\",\n                          justifyContent: \"center\",\n                        }}\n                      >\n                        <ConfigProvider\n                          theme={{\n                            token: {\n                              colorPrimary:\n                                canSelect || isSelected ? \"#1677ff\" : \"#90caf9\",\n                            },\n                          }}\n                        >\n                          <Checkbox\n                            checked={isSelected}\n                            disabled={!canSelect && !isSelected}\n                            onChange={(e) => {\n                              e.stopPropagation();\n                              toggleSelection(kb.id);\n                            }}\n                            style={{\n                              cursor:\n                                canSelect || isSelected\n                                  ? \"pointer\"\n                                  : \"not-allowed\",\n                              transform: \"scale(1.5)\",\n                            }}\n                          />\n                        </ConfigProvider>\n                      </div>\n                    )}\n                    <div className=\"flex-1 min-w-0\">\n                      {/* First row: Name */}\n                      <div className=\"flex items-center justify-between\">\n                        <p\n                          className={`${KB_LAYOUT.KB_NAME_TEXT} ${!canSelect ? \"text-gray-400\" : \"text-gray-800\"} truncate`}\n                          style={{\n                            maxWidth: KB_LAYOUT.KB_NAME_MAX_WIDTH,\n                            ...KB_LAYOUT.KB_NAME_OVERFLOW,\n                          }}\n                          title={kb.name}\n                        >\n                          {kb.name}\n                        </p>\n                      </div>\n\n                      {/* First row: Basic info tags */}\n                      <div\n                        className={`flex flex-wrap items-center ${KB_LAYOUT.TAG_MARGIN} ${KB_LAYOUT.TAG_SPACING}`}\n                      >\n                        {/* Document count tag */}\n                        <span\n                          className={`inline-flex items-center ${KB_LAYOUT.TAG_PADDING} ${KB_LAYOUT.TAG_ROUNDED} ${KB_LAYOUT.TAG_TEXT} ${KB_TAG_VARIANTS.default} mr-1`}\n                        >\n                          {t(\"knowledgeBase.tag.documents\", {\n                            count: kb.documentCount || 0,\n                          })}\n                        </span>\n\n                        {/* Chunk count tag */}\n                        <span\n                          className={`inline-flex items-center ${KB_LAYOUT.TAG_PADDING} ${KB_LAYOUT.TAG_ROUNDED} ${KB_LAYOUT.TAG_TEXT} ${KB_TAG_VARIANTS.default} mr-1`}\n                        >\n                          {t(\"knowledgeBase.tag.chunks\", {\n                            count: kb.chunkCount || 0,\n                          })}\n                        </span>\n\n                        {/* Source tag */}\n                        <span\n                          className={`inline-flex items-center ${KB_LAYOUT.TAG_PADDING} ${KB_LAYOUT.TAG_ROUNDED} ${KB_LAYOUT.TAG_TEXT} ${KB_TAG_VARIANTS.default} mr-1`}\n                        >\n                          {t(\"knowledgeBase.tag.source\", {\n                            source: t(`knowledgeBase.source.${kb.source}`, {\n                              defaultValue: kb.source,\n                            }),\n                          })}\n                        </span>\n\n                        {/* Creation date - only show when there are documents or chunks */}\n                        {((kb.documentCount || 0) > 0 ||\n                          (kb.chunkCount || 0) > 0) && (\n                          <span\n                            className={`inline-flex items-center ${KB_LAYOUT.TAG_PADDING} ${KB_LAYOUT.TAG_ROUNDED} ${KB_LAYOUT.TAG_TEXT} ${KB_TAG_VARIANTS.default} mr-1`}\n                          >\n                            {t(\"knowledgeBase.tag.createdAt\", {\n                              date: formatDate(kb.createdAt),\n                            })}\n                          </span>\n                        )}\n                      </div>\n\n                      {/* Second row: Model tags */}\n                      <div\n                        className={`flex flex-wrap items-center ${KB_LAYOUT.SECOND_ROW_TAG_MARGIN} ${KB_LAYOUT.TAG_SPACING}`}\n                      >\n                        {/* Model tag - only show when model is not \"unknown\" and there are documents or chunks */}\n                        {((kb.documentCount || 0) > 0 ||\n                          (kb.chunkCount || 0) > 0) &&\n                          kb.embeddingModel &&\n                          kb.embeddingModel !== \"unknown\" && (\n                            <span\n                              className={`inline-flex items-center ${KB_LAYOUT.TAG_PADDING} ${KB_LAYOUT.TAG_ROUNDED} ${KB_LAYOUT.TAG_TEXT} ${KB_TAG_VARIANTS.model} mr-1`}\n                            >\n                              {getModelDisplayName(kb.embeddingModel)}\n                              {t(\"knowledgeBase.tag.model\", {\n                                model: \"\",\n                              })}\n                            </span>\n                          )}\n                        {/* Model mismatch tag - only for nexent source */}\n                        {hasModelMismatch && (\n                          <span\n                            className={`inline-flex items-center ${KB_LAYOUT.TAG_PADDING} ${KB_LAYOUT.TAG_ROUNDED} ${KB_LAYOUT.TAG_TEXT} ${KB_TAG_VARIANTS.warning} mr-1`}\n                          >\n                            {t(\"knowledgeBase.tag.modelMismatch\")}\n                          </span>\n                        )}\n                      </div>\n                    </div>\n                  </div>\n                </div>\n              );\n            })}\n          </div>\n        ) : (\n          <div\n            className={`${KB_LAYOUT.EMPTY_STATE_PADDING} text-center text-gray-500`}\n          >\n            {searchKeyword || selectedSources.length > 0\n              ? t(\"knowledgeBase.list.noResults\")\n              : t(\"knowledgeBase.list.empty\")}\n          </div>\n        )}\n      </div>\n    </Modal>\n  );\n}\n"
  },
  {
    "path": "frontend/components/tool-config/index.ts",
    "content": "// Tool configuration related types and interfaces\n\nimport { KnowledgeBase } from \"@/types/knowledgeBase\";\n\n// Knowledge base selector component props\nexport interface KnowledgeBaseSelectorProps {\n  isOpen: boolean;\n  onClose: () => void;\n  onConfirm: (selectedKnowledgeBases: KnowledgeBase[]) => void;\n  selectedIds: string[];\n  toolType: \"knowledge_base_search\" | \"dify_search\" | \"datamate_search\" | \"idata_search\";\n  title?: string;\n  maxSelect?: number;\n  showCreateButton?: boolean;\n  showDeleteButton?: boolean;\n  showCheckbox?: boolean;\n  // Dify/iData configuration for fetching knowledge bases\n  difyConfig?: {\n    serverUrl?: string;\n    apiKey?: string;\n    userId?: string;\n    knowledgeSpaceId?: string;\n  };\n}\n\n// Get supported knowledge base sources for a tool type\nexport function getKnowledgeBaseSourcesForTool(\n  toolType: \"knowledge_base_search\" | \"dify_search\" | \"datamate_search\" | \"idata_search\"\n): string[] {\n  switch (toolType) {\n    case \"knowledge_base_search\":\n      return [\"nexent\"];\n    case \"dify_search\":\n      return [\"dify\"];\n    case \"datamate_search\":\n      return [\"datamate\"];\n    case \"idata_search\":\n      return [\"idata\"];\n    default:\n      return [\"nexent\"];\n  }\n}\n"
  },
  {
    "path": "frontend/components/ui/AgentCallRelationshipModal.tsx",
    "content": "\"use client\";\n\nimport React, { useState, useEffect, useCallback, useRef } from \"react\";\nimport { Modal, Spin, message, Typography } from \"antd\";\nimport { Bot, Wrench } from \"lucide-react\";\nimport { useTranslation } from \"react-i18next\";\nimport Tree from \"react-d3-tree\";\n\nimport log from \"@/lib/logger\";\nimport { fetchAgentCallRelationship } from \"@/services/agentConfigService\";\nimport {\n  AgentCallRelationship,\n  AgentCallRelationshipSubAgent,\n  AgentCallRelationshipModalProps,\n  AgentCallRelationshipTreeNodeDatum\n} from \"@/types/agentConfig\";\n\nimport {AGENT_CALL_RELATIONSHIP_THEME_CONFIG, AGENT_CALL_RELATIONSHIP_NODE_TYPES, AGENT_CALL_RELATIONSHIP_ORIENTATION, AgentCallRelationshipOrientation } from \"@/const/agentConfig\";\n\n\nconst { Text } = Typography;\n\n/** Consistent with custom node visual dimensions (convenient for line endings at edges) */\nconst NODE_W = 140;\nconst NODE_H = 60;\n\n/* ================== New/Adjusted: Unified dimensions and compact layout (minimal changes) ================== */\nconst AGENT_W = 160; // Agent unified width\nconst AGENT_H = 56; // Agent unified height\nconst TOOL_SIZE = 100; // Tool gear unified diameter\nconst TOOL_TEETH = 10; // Number of teeth (more rounded)\nconst TOOL_TEETH_DEPTH_RATIO = 0.085; // Teeth depth ratio\n\nconst MAX_TOOL_NAME_CHARS = 24; // Maximum display characters for tool names\n\nconst TREE_DEPTH_FACTOR = 120; // More compact layer spacing\nconst TREE_SEP_SIB = 1.5; // Minimum spacing between sibling nodes\nconst TREE_SEP_NON = 1.8; // Minimum spacing between non-sibling nodes\n\n/* Simple and stable code point truncation (compatible with basic emoji scenarios) */\nfunction truncateByCodePoints(s: string, max: number) {\n  const arr = Array.from(s);\n  return arr.length > max ? arr.slice(0, max).join(\"\") + \"…\" : s;\n}\n\n// Get node color\nconst getNodeColor = (type: string, depth: number = 0) => {\n  const { colors } = AGENT_CALL_RELATIONSHIP_THEME_CONFIG;\n\n  switch (type) {\n    case AGENT_CALL_RELATIONSHIP_NODE_TYPES.MAIN:\n      return colors.node.main;\n    case AGENT_CALL_RELATIONSHIP_NODE_TYPES.SUB:\n      return (\n        colors.node.levels[depth as keyof typeof colors.node.levels] ||\n        colors.node.levels[1]\n      );\n    case AGENT_CALL_RELATIONSHIP_NODE_TYPES.TOOL:\n      return (\n        colors.node.tools[depth as keyof typeof colors.node.tools] ||\n        colors.node.tools[1]\n      );\n    default:\n      return colors.node.main;\n  }\n};\n\n// Custom node - center aligned, unified font style\nconst CustomNode = ({ nodeDatum }: any) => {\n  const isAgent =\n    nodeDatum.type === AGENT_CALL_RELATIONSHIP_NODE_TYPES.MAIN ||\n    nodeDatum.type === AGENT_CALL_RELATIONSHIP_NODE_TYPES.SUB;\n  const color = getNodeColor(nodeDatum.type, nodeDatum.depth);\n  const icon = isAgent ? <Bot size={16} /> : <Wrench size={16} />;\n\n  // Truncate tool names by maximum character count (avoid too long)\n  const rawName: string = nodeDatum.name || \"\";\n  const displayName: string = !isAgent\n    ? truncateByCodePoints(rawName, MAX_TOOL_NAME_CHARS)\n    : rawName;\n\n  // Unified font\n  const fontSize = isAgent ? \"14px\" : \"12px\";\n  const fontWeight = isAgent ? \"600\" : \"500\";\n\n  // —— Unified dimensions: Agent rectangles, Tool gears fixed size ——\n  const nodeWidth = isAgent ? AGENT_W : TOOL_SIZE;\n  const nodeHeight = isAgent ? AGENT_H : TOOL_SIZE;\n\n  // Select different shapes based on node type with enhanced styling\n  const renderNodeShape = () => {\n    if (isAgent) {\n      // Agent nodes use rounded rectangle with enhanced styling\n      return (\n        <rect\n          width={nodeWidth}\n          height={nodeHeight}\n          rx={14}\n          ry={14}\n          fill={color}\n          stroke={`${color}80`}\n          strokeWidth={1.5}\n          style={{\n            transition: \"all 0.3s ease\",\n            filter: \"drop-shadow(0 3px 6px rgba(0,0,0,0.12))\",\n          }}\n        />\n      );\n    } else {\n      // Tool nodes use gear shape (outer contour only), unified size\n      const cx = nodeWidth / 2;\n      const cy = nodeHeight / 2;\n      const outerRadius = nodeWidth / 2 - 2;\n      const teethDepth = Math.max(outerRadius * TOOL_TEETH_DEPTH_RATIO, 3.5);\n\n      const d: string[] = [];\n      for (let i = 0; i < TOOL_TEETH * 2; i++) {\n        const angle = (i * Math.PI) / TOOL_TEETH; // Each half tooth\n        const r = i % 2 === 0 ? outerRadius : outerRadius - teethDepth;\n        const x = cx + r * Math.cos(angle);\n        const y = cy + r * Math.sin(angle);\n        d.push(`${i === 0 ? \"M\" : \"L\"} ${x} ${y}`);\n      }\n      d.push(\"Z\");\n\n      return (\n        <path\n          d={d.join(\" \")}\n          fill={color}\n          stroke={`${color}80`}\n          strokeWidth={1.5}\n          style={{\n            transition: \"all 0.3s ease\",\n            filter: \"drop-shadow(0 2px 4px rgba(0,0,0,0.10))\",\n          }}\n        />\n      );\n    }\n  };\n\n  return (\n    <g transform={`translate(-${nodeWidth / 2}, -${nodeHeight / 2})`}>\n      {renderNodeShape()}\n\n      <foreignObject\n        x={0}\n        y={0}\n        width={nodeWidth}\n        height={nodeHeight}\n        style={{\n          overflow: \"hidden\",\n          borderRadius: isAgent ? 14 : nodeWidth / 2,\n        }}\n      >\n        <div\n          style={{\n            width: \"100%\",\n            height: \"100%\",\n            display: \"flex\",\n            alignItems: \"center\",\n            justifyContent: \"center\",\n            gap: \"6px\",\n            padding: isAgent ? \"0 16px\" : \"0 12px\",\n            fontSize,\n            color: isAgent ? \"#ffffff\" : \"#1e293b\",\n            fontFamily:\n              '-apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, sans-serif',\n            fontWeight,\n            textAlign: \"center\",\n            lineHeight: 1,\n            userSelect: \"none\",\n            letterSpacing: \"0.02em\",\n            whiteSpace: \"nowrap\",\n          }}\n        >\n          <span\n            style={{\n              display: \"inline-flex\",\n              width: isAgent ? \"18px\" : \"16px\",\n              height: isAgent ? \"18px\" : \"16px\",\n              alignItems: \"center\",\n              justifyContent: \"center\",\n              transform: \"translateY(-0.5px)\",\n              flex: \"0 0 auto\",\n            }}\n          >\n            {icon}\n          </span>\n          <span\n            style={{\n              display: \"inline-block\",\n              maxWidth: \"100%\",\n              overflow: \"hidden\",\n              textOverflow: \"ellipsis\",\n            }}\n            title={rawName}\n          >\n            {displayName}\n          </span>\n        </div>\n      </foreignObject>\n    </g>\n  );\n};\n\n/** Make lines end at node edges: from parent rectangle bottom edge to child rectangle top edge (vertical layout) */\nconst customPathFunc = (\n  linkData: any,\n  orientation: AgentCallRelationshipOrientation\n) => {\n  const { source, target } = linkData;\n\n  if (orientation === AGENT_CALL_RELATIONSHIP_ORIENTATION.HORIZONTAL) {\n    const srcX = source.x + NODE_W / 2;\n    const srcY = source.y;\n    const tgtX = target.x - NODE_W / 2;\n    const tgtY = target.y;\n    const midX = (srcX + tgtX) / 2;\n    return `M ${srcX} ${srcY} L ${midX} ${srcY} L ${midX} ${tgtY} L ${tgtX} ${tgtY}`;\n  }\n\n  // Vertical layout: from parent node bottom edge -> middle break point -> child node top edge\n  const srcX = source.x;\n  const srcY = source.y + NODE_H / 2;\n  const tgtX = target.x;\n  const tgtY = target.y - NODE_H / 2;\n  const midY = (srcY + tgtY) / 2;\n  return `M ${srcX} ${srcY} L ${srcX} ${midY} L ${tgtX} ${midY} L ${tgtX} ${tgtY}`;\n};\n\ndeclare module \"react-d3-tree\";\n\nexport default function AgentCallRelationshipModal({\n  visible,\n  onClose,\n  agentId,\n  agentName,\n}: AgentCallRelationshipModalProps) {\n  const { t } = useTranslation(\"common\");\n  const [loading, setLoading] = useState(false);\n  const [relationshipData, setRelationshipData] =\n    useState<AgentCallRelationship | null>(null);\n\n  const treeWrapRef = useRef<HTMLDivElement>(null);\n  const [translate, setTranslate] = useState<{ x: number; y: number }>({\n    x: 660,\n    y: 100,\n  });\n\n  useEffect(() => {\n    if (visible && agentId) {\n      loadCallRelationship();\n    }\n  }, [visible, agentId]);\n\n  useEffect(() => {\n    if (treeWrapRef.current && visible) {\n      const { clientWidth } = treeWrapRef.current;\n      const x = Math.round(clientWidth / 2);\n      const y = 80;\n      setTranslate({ x, y });\n    }\n  }, [visible]);\n\n  const loadCallRelationship = async () => {\n    setLoading(true);\n    try {\n      const result = await fetchAgentCallRelationship(agentId);\n      if (result.success) {\n        setRelationshipData(result.data);\n      } else {\n        message.error(result.message || \"Failed to fetch call relationship\");\n      }\n    } catch (error) {\n      log.error(\"Failed to fetch Agent call relationship:\", error);\n      message.error(\n        \"Failed to fetch Agent call relationship, please try again later\"\n      );\n    } finally {\n      setLoading(false);\n    }\n  };\n\n  // Generate tree data (using recursive method)\n  const generateTreeData = useCallback(\n    (data: AgentCallRelationship): AgentCallRelationshipTreeNodeDatum => {\n      const centerX = 600;\n      const startY = 50;\n      const levelHeight = 160;\n      const agentSpacing = 240;\n      const toolSpacing = 160;\n\n      // Recursively generate child nodes\n      const generateSubNodes = (\n        subAgents: AgentCallRelationshipSubAgent[],\n        depth: number,\n        parentX: number,\n        parentY: number\n      ): AgentCallRelationshipTreeNodeDatum[] => {\n        return subAgents.map((subAgent, index) => {\n          const x =\n            parentX + (index - (subAgents.length - 1) / 2) * agentSpacing;\n          const y = parentY + levelHeight;\n\n          const subAgentNode: AgentCallRelationshipTreeNodeDatum = {\n            name: subAgent.name,\n            type: AGENT_CALL_RELATIONSHIP_NODE_TYPES.SUB,\n            depth: subAgent.depth || depth,\n            color: getNodeColor(AGENT_CALL_RELATIONSHIP_NODE_TYPES.SUB, subAgent.depth || depth),\n            children: [],\n          };\n\n          // Add tool nodes\n          if (subAgent.tools && subAgent.tools.length > 0) {\n            const toolsPerRow = Math.min(2, subAgent.tools.length);\n            const toolStartX = x - ((toolsPerRow - 1) * toolSpacing) / 2;\n\n            subAgent.tools.forEach((tool, toolIndex) => {\n              const row = Math.floor(toolIndex / toolsPerRow);\n              const col = toolIndex % toolsPerRow;\n              const toolX = toolStartX + col * toolSpacing;\n              const toolY = y + levelHeight + row * 56;\n\n              subAgentNode.children!.push({\n                name: tool.name,\n                type: AGENT_CALL_RELATIONSHIP_NODE_TYPES.TOOL,\n                depth: (subAgent.depth || depth) + 1,\n                color: getNodeColor(AGENT_CALL_RELATIONSHIP_NODE_TYPES.TOOL, (subAgent.depth || depth) + 1),\n                attributes: { toolType: tool.type },\n                children: [],\n              });\n            });\n          }\n\n          // Recursively process deeper sub-agents\n          if (subAgent.sub_agents && subAgent.sub_agents.length > 0) {\n            const deepSubNodes = generateSubNodes(\n              subAgent.sub_agents,\n              depth + 1,\n              x,\n              y\n            );\n            subAgentNode.children!.push(...deepSubNodes);\n          }\n\n          return subAgentNode;\n        });\n      };\n\n      const treeData: AgentCallRelationshipTreeNodeDatum = {\n        name: data.name,\n        type: AGENT_CALL_RELATIONSHIP_NODE_TYPES.MAIN,\n        depth: 0,\n        color: getNodeColor(AGENT_CALL_RELATIONSHIP_NODE_TYPES.MAIN, 0),\n        children: [],\n      };\n\n      // Add main agent tools\n      if (data.tools && data.tools.length > 0) {\n        const toolsPerRow = Math.min(3, data.tools.length);\n        const startX2 = centerX - ((toolsPerRow - 1) * toolSpacing) / 2;\n\n        data.tools.forEach((tool, index) => {\n          const row = Math.floor(index / toolsPerRow);\n          const col = index % toolsPerRow;\n          const x = startX2 + col * toolSpacing;\n          const y = startY + levelHeight + row * 56;\n\n          treeData.children!.push({\n            name: tool.name,\n            type: AGENT_CALL_RELATIONSHIP_NODE_TYPES.TOOL,\n            depth: 1,\n            color: getNodeColor(AGENT_CALL_RELATIONSHIP_NODE_TYPES.TOOL, 1),\n            attributes: { toolType: tool.type },\n            children: [],\n          });\n        });\n      }\n\n      // Recursively add sub-agents\n      if (data.sub_agents && data.sub_agents.length > 0) {\n        const subNodes = generateSubNodes(data.sub_agents, 1, centerX, startY);\n        treeData.children!.push(...subNodes);\n      }\n\n      return treeData;\n    },\n    []\n  );\n\n  return (\n    <>\n      <Modal\n        title={\n          <div style={{ display: \"flex\", alignItems: \"center\", gap: \"8px\" }}>\n            <span>{t(\"agentCallRelationship.title\")}</span>\n            <Text\n              type=\"secondary\"\n              style={{ fontSize: \"14px\", fontWeight: \"normal\" }}\n            >\n              {agentName}\n            </Text>\n          </div>\n        }\n        open={visible}\n        onCancel={onClose}\n        footer={null}\n        width={1400}\n        destroyOnHidden\n        centered\n        style={{ top: 20 }}\n      >\n        {loading ? (\n          <div style={{ textAlign: \"center\", padding: \"40px\" }}>\n            <Spin size=\"large\" />\n            <div style={{ marginTop: \"16px\" }}>\n              <Text type=\"secondary\">{t(\"agentCallRelationship.loading\")}</Text>\n            </div>\n          </div>\n        ) : relationshipData ? (\n          <div>\n            <div style={{ marginBottom: \"16px\" }}>\n              <Text type=\"secondary\">\n                {t(\"agentCallRelationship.description\", {\n                  name: relationshipData.name,\n                })}\n              </Text>\n            </div>\n            <div\n              ref={treeWrapRef}\n              style={{\n                height: \"600px\",\n                width: \"100%\",\n                background:\n                  \"linear-gradient(135deg, #f8fafc 0%, #e2e8f0 50%, #cbd5e1 100%)\",\n                borderRadius: 20,\n                overflow: \"hidden\",\n                padding: 0,\n                boxShadow:\n                  \"0 20px 60px rgba(0,0,0,0.15), 0 8px 25px rgba(0,0,0,0.1)\",\n                position: \"relative\",\n              }}\n            >\n              <Tree\n                data={generateTreeData(relationshipData)}\n                orientation={AGENT_CALL_RELATIONSHIP_ORIENTATION.VERTICAL}\n                /** Custom path: lines end at node edges, no longer insert into interior */\n                pathFunc={(linkData: any) =>\n                  customPathFunc(linkData, AGENT_CALL_RELATIONSHIP_ORIENTATION.VERTICAL)\n                }\n                translate={translate}\n                renderCustomNodeElement={CustomNode}\n                depthFactor={TREE_DEPTH_FACTOR}\n                separation={{\n                  siblings: TREE_SEP_SIB,\n                  nonSiblings: TREE_SEP_NON,\n                }}\n                nodeSize={{ x: NODE_W, y: NODE_H }}\n                pathClassFunc={() => \"connection\"}\n                zoomable={true}\n                scaleExtent={{ min: 0.8, max: 1.4 }}\n                collapsible={false}\n                initialDepth={undefined}\n                enableLegacyTransitions={true}\n                transitionDuration={250}\n              />\n            </div>\n          </div>\n        ) : (\n          <div style={{ textAlign: \"center\", padding: \"40px\" }}>\n            <Text type=\"secondary\">{t(\"agentCallRelationship.noData\")}</Text>\n          </div>\n        )}\n      </Modal>\n\n      <style jsx>{`\n        .connection {\n          stroke: #64748b;\n          stroke-width: 2;\n          stroke-opacity: 0.85;\n          fill: none;\n          stroke-linecap: round;\n          stroke-linejoin: round;\n          transition: all 0.25s ease;\n        }\n\n        .connection:hover {\n          stroke: #475569;\n          stroke-opacity: 1;\n          stroke-width: 2.4;\n        }\n\n        /* Enhanced node hover effects */\n        :global(.rd3t-node) {\n          transition: filter 0.2s ease;\n        }\n\n        :global(.rd3t-node:hover) {\n          filter: brightness(1.04) drop-shadow(0 4px 10px rgba(0, 0, 0, 0.16));\n        }\n\n        /* Double insurance: force hide library's built-in labels */\n        :global(.rd3t-label),\n        :global(.rd3t-label__title),\n        :global(.rd3t-label__attributes) {\n          display: none !important;\n          opacity: 0 !important;\n          visibility: hidden !important;\n        }\n\n        /* Enhanced SVG rendering */\n        :global(svg) {\n          filter: drop-shadow(0 1px 3px rgba(0, 0, 0, 0.08));\n        }\n\n        :global(svg text) {\n          text-rendering: optimizeLegibility !important;\n        }\n      `}</style>\n    </>\n  );\n}\n\n"
  },
  {
    "path": "frontend/components/ui/Diagram.tsx",
    "content": "\"use client\";\n\nimport React, { useEffect, useMemo, useRef, useState } from \"react\";\nimport {\n  Code,\n  Download,\n  Eye,\n  ZoomIn,\n  ZoomOut,\n  FileImage,\n  FileText,\n} from \"lucide-react\";\nimport { useTranslation } from \"react-i18next\";\n\n// Download format type\ntype DownloadFormat = \"svg\" | \"png\";\n\n// Diagram state interface\ninterface DiagramState {\n  showCode: boolean;\n  zoomLevel: number;\n  panX: number;\n  panY: number;\n  downloadFormat: DownloadFormat;\n}\n\n// Global state manager for diagram view states\nclass DiagramStateManager {\n  private static instance: DiagramStateManager;\n  private states: Map<string, DiagramState> = new Map();\n  private listeners: Map<string, Set<() => void>> = new Map();\n\n  static getInstance(): DiagramStateManager {\n    if (!DiagramStateManager.instance) {\n      DiagramStateManager.instance = new DiagramStateManager();\n    }\n    return DiagramStateManager.instance;\n  }\n\n  getState(diagramId: string): DiagramState {\n    return (\n      this.states.get(diagramId) || {\n        showCode: false,\n        zoomLevel: 1,\n        panX: 0,\n        panY: 0,\n        downloadFormat: \"svg\",\n      }\n    );\n  }\n\n  setShowCode(diagramId: string, showCode: boolean): void {\n    const currentState = this.getState(diagramId);\n    this.states.set(diagramId, { ...currentState, showCode });\n    this.notifyListeners(diagramId);\n  }\n\n  setZoomLevel(diagramId: string, zoomLevel: number): void {\n    const currentState = this.getState(diagramId);\n    this.states.set(diagramId, {\n      ...currentState,\n      zoomLevel: Math.max(0.1, Math.min(5, zoomLevel)),\n    });\n    this.notifyListeners(diagramId);\n  }\n\n  setPan(diagramId: string, panX: number, panY: number): void {\n    const currentState = this.getState(diagramId);\n    this.states.set(diagramId, { ...currentState, panX, panY });\n    this.notifyListeners(diagramId);\n  }\n\n  setDownloadFormat(diagramId: string, downloadFormat: DownloadFormat): void {\n    const currentState = this.getState(diagramId);\n    this.states.set(diagramId, { ...currentState, downloadFormat });\n    this.notifyListeners(diagramId);\n  }\n\n  subscribe(diagramId: string, callback: () => void): () => void {\n    if (!this.listeners.has(diagramId)) {\n      this.listeners.set(diagramId, new Set());\n    }\n    this.listeners.get(diagramId)!.add(callback);\n\n    return () => {\n      this.listeners.get(diagramId)?.delete(callback);\n    };\n  }\n\n  private notifyListeners(diagramId: string): void {\n    this.listeners.get(diagramId)?.forEach((callback) => callback());\n  }\n}\n\ninterface DiagramProps {\n  code: string;\n  className?: string;\n  maxHeight?: string | number;\n  ariaLabel?: string;\n  showToggle?: boolean; // Controls whether to show toggle buttons\n}\n\ntype MermaidApi = {\n  parse?: (code: string) => Promise<any> | any;\n  render: (\n    id: string,\n    code: string,\n    container?: Element\n  ) => Promise<{ svg: string; bindFunctions?: () => void }>;\n  initialize: (cfg: Record<string, unknown>) => void;\n};\n\nconst memoryCache = new Map<string, string>();\n\nfunction computeHash(input: string): string {\n  let hash = 5381;\n  for (let i = 0; i < input.length; i++) {\n    hash = (hash * 33) ^ input.charCodeAt(i);\n  }\n  return (hash >>> 0).toString(16);\n}\n\nfunction DiagramComponent({\n  code,\n  className = \"\",\n  maxHeight,\n  ariaLabel,\n  showToggle = true,\n}: DiagramProps) {\n  const { t } = useTranslation(\"common\");\n  const idRef = useRef<string>();\n  const resultRef = useRef<{ dataUrl: string } | { error: string } | null>(\n    null\n  );\n  const cacheKey = useMemo(() => computeHash(code), [code]);\n\n  // Drag state for panning\n  const [isDragging, setIsDragging] = useState(false);\n  const [dragStart, setDragStart] = useState({ x: 0, y: 0 });\n  const containerRef = useRef<HTMLDivElement>(null);\n\n  // Format menu state\n  const [showFormatMenu, setShowFormatMenu] = useState(false);\n\n  // Close format menu when clicking outside\n  useEffect(() => {\n    const handleClickOutside = (event: MouseEvent) => {\n      if (showFormatMenu && containerRef.current) {\n        const target = event.target as Node;\n        const isInsideContainer = containerRef.current.contains(target);\n        const isFormatMenu = (target as Element)?.closest(\"[data-format-menu]\");\n\n        if (!isInsideContainer && !isFormatMenu) {\n          setShowFormatMenu(false);\n        }\n      }\n    };\n\n    if (showFormatMenu) {\n      // Use a small delay to avoid immediate closure\n      const timeoutId = setTimeout(() => {\n        document.addEventListener(\"mousedown\", handleClickOutside);\n      }, 10);\n\n      return () => {\n        clearTimeout(timeoutId);\n        document.removeEventListener(\"mousedown\", handleClickOutside);\n      };\n    }\n  }, [showFormatMenu]);\n\n  // Dynamic sizing based on diagram type\n  const [isWideDiagram, setIsWideDiagram] = useState(false);\n\n  // Fixed maxWidth to prevent flicker\n  const getFixedMaxWidth = () => {\n    return isWideDiagram ? \"300px\" : \"400px\";\n  };\n\n  // Generate stable diagram ID based on code content\n  const diagramId = useMemo(() => `diagram-${cacheKey}`, [cacheKey]);\n\n  // Use global state manager for persistent state\n  const stateManager = useMemo(() => DiagramStateManager.getInstance(), []);\n  const [diagramState, setDiagramState] = useState(() =>\n    stateManager.getState(diagramId)\n  );\n\n  // Subscribe to state changes and sync with global state\n  useEffect(() => {\n    const unsubscribe = stateManager.subscribe(diagramId, () => {\n      const newState = stateManager.getState(diagramId);\n      setDiagramState(newState);\n    });\n    return unsubscribe;\n  }, [stateManager, diagramId, diagramState]);\n\n  // Update global state when local state changes\n  const handleToggleShowCode = () => {\n    const newState = !diagramState.showCode;\n    stateManager.setShowCode(diagramId, newState);\n  };\n\n  const handleZoomIn = () => {\n    // Limit maximum zoom to prevent excessive scaling\n    const maxZoom = 3; // Maximum 3x zoom\n    const newZoom = Math.min(diagramState.zoomLevel * 1.2, maxZoom);\n\n    stateManager.setZoomLevel(diagramId, newZoom);\n  };\n\n  const handleZoomOut = () => {\n    const newZoomLevel = diagramState.zoomLevel / 1.2;\n\n    stateManager.setZoomLevel(diagramId, newZoomLevel);\n\n    // Reset pan position when zoom level goes back to 1 or below\n    if (newZoomLevel <= 1) {\n      stateManager.setPan(diagramId, 0, 0);\n    }\n  };\n\n  // Drag handling functions\n  const handleMouseDown = (e: React.MouseEvent) => {\n    if (diagramState.zoomLevel > 1) {\n      setIsDragging(true);\n      setDragStart({\n        x: e.clientX - diagramState.panX,\n        y: e.clientY - diagramState.panY,\n      });\n      e.preventDefault();\n    }\n  };\n\n  const handleMouseMove = (e: React.MouseEvent) => {\n    if (isDragging && diagramState.zoomLevel > 1) {\n      const newPanX = e.clientX - dragStart.x;\n      const newPanY = e.clientY - dragStart.y;\n      stateManager.setPan(diagramId, newPanX, newPanY);\n    }\n  };\n\n  const handleMouseUp = () => {\n    setIsDragging(false);\n  };\n\n  const handleMouseLeave = () => {\n    setIsDragging(false);\n  };\n\n  // Keyboard navigation support\n  const handleKeyDown = (e: React.KeyboardEvent) => {\n    if (e.key === \"Escape\") {\n      setIsDragging(false);\n    }\n  };\n\n  // Convert SVG to PNG\n  const convertSvgToPng = async (svgContent: string): Promise<string> => {\n    return new Promise((resolve, reject) => {\n      const canvas = document.createElement(\"canvas\");\n      const ctx = canvas.getContext(\"2d\");\n      const img = new Image();\n\n      img.onload = () => {\n        // Set canvas size to match SVG dimensions\n        canvas.width = img.width;\n        canvas.height = img.height;\n\n        // Fill with white background\n        if (ctx) {\n          ctx.fillStyle = \"#ffffff\";\n          ctx.fillRect(0, 0, canvas.width, canvas.height);\n\n          // Draw the SVG\n          ctx.drawImage(img, 0, 0);\n\n          // Convert to PNG data URL\n          const pngDataUrl = canvas.toDataURL(\"image/png\");\n          resolve(pngDataUrl);\n        } else {\n          reject(new Error(\"Failed to get canvas context\"));\n        }\n      };\n\n      img.onerror = () => {\n        reject(new Error(\"Failed to load SVG\"));\n      };\n\n      // Use the SVG content directly as data URL, not base64 encoded\n      img.src = `data:image/svg+xml;charset=utf-8,${encodeURIComponent(\n        svgContent\n      )}`;\n    });\n  };\n\n  // Download function\n  const handleDownloadClick = (e: React.MouseEvent) => {\n    // Prevent event bubbling to avoid triggering handleClickOutside\n    e.stopPropagation();\n    e.preventDefault();\n\n    setShowFormatMenu(!showFormatMenu);\n  };\n\n  const handleFormatSelect = async (format: DownloadFormat) => {\n    setShowFormatMenu(false);\n\n    // Use resultRef.current instead of result state for more reliable access\n    const currentResult = resultRef.current;\n\n    // Try currentResult first, then fallback to result state\n    const dataSource = currentResult || result;\n\n    if (dataSource && \"dataUrl\" in dataSource) {\n      try {\n        // Extract SVG content from data URL\n        let svgContent: string;\n        if (\n          dataSource.dataUrl.startsWith(\"data:image/svg+xml;charset=utf-8,\")\n        ) {\n          // Already encoded SVG content\n          svgContent = decodeURIComponent(dataSource.dataUrl.split(\",\")[1]);\n        } else if (\n          dataSource.dataUrl.startsWith(\"data:image/svg+xml;base64,\")\n        ) {\n          // Base64 encoded SVG content\n          const base64Content = dataSource.dataUrl.split(\",\")[1];\n          svgContent = atob(base64Content);\n        } else {\n          // Fallback: try to decode as URI component\n          svgContent = decodeURIComponent(dataSource.dataUrl.split(\",\")[1]);\n        }\n\n        let blob: Blob;\n        let filename: string;\n        let mimeType: string;\n\n        if (format === \"png\") {\n          // Convert SVG to PNG\n          const pngDataUrl = await convertSvgToPng(svgContent);\n          const pngData = pngDataUrl.split(\",\")[1];\n          blob = new Blob(\n            [Uint8Array.from(atob(pngData), (c) => c.charCodeAt(0))],\n            { type: \"image/png\" }\n          );\n          filename = `diagram-${cacheKey}.png`;\n          mimeType = \"image/png\";\n        } else {\n          // Use SVG directly\n          blob = new Blob([svgContent], { type: \"image/svg+xml\" });\n          filename = `diagram-${cacheKey}.svg`;\n          mimeType = \"image/svg+xml\";\n        }\n        // Create download link\n        const url = URL.createObjectURL(blob);\n        const link = document.createElement(\"a\");\n        link.href = url;\n        link.download = filename;\n        document.body.appendChild(link);\n        link.click();\n        document.body.removeChild(link);\n\n        // Clean up\n        URL.revokeObjectURL(url);\n      } catch (error) {\n        // Fallback to SVG download\n        try {\n          let svgContent: string;\n          if (\n            dataSource.dataUrl.startsWith(\"data:image/svg+xml;charset=utf-8,\")\n          ) {\n            svgContent = decodeURIComponent(dataSource.dataUrl.split(\",\")[1]);\n          } else if (\n            dataSource.dataUrl.startsWith(\"data:image/svg+xml;base64,\")\n          ) {\n            const base64Content = dataSource.dataUrl.split(\",\")[1];\n            svgContent = atob(base64Content);\n          } else {\n            svgContent = decodeURIComponent(dataSource.dataUrl.split(\",\")[1]);\n          }\n\n          const blob = new Blob([svgContent], { type: \"image/svg+xml\" });\n          const url = URL.createObjectURL(blob);\n          const link = document.createElement(\"a\");\n          link.href = url;\n          link.download = `diagram-${cacheKey}.svg`;\n          document.body.appendChild(link);\n          link.click();\n          document.body.removeChild(link);\n          URL.revokeObjectURL(url);\n        } catch (fallbackError) {\n          // Silent fallback failure\n        }\n      }\n    }\n  };\n\n  // Generate stable ID only once\n  if (!idRef.current) {\n    idRef.current = `mmd-${Math.random().toString(36).slice(2)}`;\n  }\n\n  // Initialize result from cache if available\n  if (!resultRef.current) {\n    const cached = memoryCache.get(cacheKey);\n    if (cached) {\n      resultRef.current = { dataUrl: cached };\n    }\n  }\n\n  const [result, setResult] = useState<\n    { dataUrl: string } | { error: string } | null\n  >(resultRef.current);\n\n  useEffect(() => {\n    let cancelled = false;\n\n    // If we already have a result, don't re-render\n    if (resultRef.current) {\n      return;\n    }\n\n    const run = async () => {\n      try {\n        const mod = await import(\"mermaid\");\n        const mermaid: MermaidApi = mod.default as unknown as MermaidApi;\n        mermaid.initialize({\n          startOnLoad: false,\n          securityLevel: \"loose\",\n          theme: \"base\",\n          fontFamily: \"inherit\",\n          // Optimize Gantt chart rendering\n          themeVariables: {\n            // Primary color - using project blue\n            primaryColor: \"#3b82f6\",\n            lineColor: \"#6b7280\",\n\n            // Background colors - light theme\n            background: \"#ffffff\",\n            mainBkg: \"#ffffff\",\n            secondBkg: \"#f8fafc\",\n            tertiaryBkg: \"#f1f5f9\",\n\n            // Text colors - gray theme\n            textColor: \"#6b7280\",\n            titleColor: \"#6b7280\",\n            labelTextColor: \"#6b7280\",\n            // Force set all possible text colors\n            primaryTextColor: \"#6b7280\",\n            sectionBkgColor: \"#f8fafc\",\n            altSectionBkgColor: \"#f1f5f9\",\n            secondaryColor: \"#9ca3af\",\n            tertiaryColor: \"#d1d5db\",\n\n            // Node colors\n            nodeBkg: \"#ffffff\",\n            nodeBorder: \"#d1d5db\",\n            clusterBkg: \"#f9fafb\",\n            clusterBorder: \"#e5e7eb\",\n\n            // Arrows and connection lines\n            arrowheadColor: \"#6b7280\",\n            edgeLabelBackground: \"#f8fafc\",\n\n            // Font sizes\n            titleFontSize: \"14px\",\n\n            // Force text color settings\n\n            // Gantt chart colors\n            section0: \"#f0f9ff\",\n            section1: \"#fef3c7\",\n            section2: \"#fce7f3\",\n            section3: \"#ecfdf5\",\n            section4: \"#fef2f2\",\n\n            // Task colors\n            task0: \"#3b82f6\",\n            task1: \"#f59e0b\",\n            task2: \"#ec4899\",\n            task3: \"#10b981\",\n            task4: \"#ef4444\",\n            taskTextLightColor: \"#ffffff\",\n            taskTextColor: \"#6b7280\",\n            taskTextOutsideColor: \"#6b7280\",\n            taskTextClickableColor: \"#4b5563\",\n\n            // Active task colors\n            activeTaskBkgColor: \"#dbeafe\",\n            activeTaskBorderColor: \"#3b82f6\",\n            gridLineColor: \"#e5e7eb\",\n\n            // Timeline\n            todayLineColor: \"#ef4444\",\n          },\n          flowchart: {\n            useMaxWidth: true,\n            htmlLabels: false,\n            nodeSpacing: 25,\n            rankSpacing: 30,\n            diagramPadding: 8,\n            curve: \"basis\",\n          },\n          sequence: {\n            boxMargin: 8,\n            diagramMarginX: 8,\n            diagramMarginY: 8,\n            actorFontSize: 12,\n            noteFontSize: 10,\n            messageFontSize: 11,\n            messageAlign: \"center\",\n            actorFontFamily: \"inherit\",\n            messageFontFamily: \"inherit\",\n            noteFontFamily: \"inherit\",\n            actorFontWeight: \"500\",\n            messageFontWeight: \"400\",\n            noteFontWeight: \"400\",\n          },\n          gantt: {\n            useMaxWidth: true,\n            htmlLabels: false,\n            fontSize: 14,\n            topPadding: 30,\n            leftPadding: 30,\n            gridLineStartPadding: 20,\n            sectionFontSize: 14,\n            sectionFontWeight: \"600\",\n            sectionFontFamily: \"inherit\",\n            taskFontSize: 12,\n            taskFontWeight: \"500\",\n            taskFontFamily: \"inherit\",\n            labelFontSize: 12,\n            labelFontWeight: \"500\",\n            labelFontFamily: \"inherit\",\n            gridLineColor: \"#e5e7eb\",\n            // Increase timeline label spacing\n            axisFormat: \"%m-%d\",\n            bottomPadding: 40,\n            rightPadding: 20,\n            // Optimize timeline display\n            axisTextColor: \"#6b7280\",\n            axisTextFontSize: 11,\n            axisTextFontWeight: \"500\",\n          },\n          pie: {\n            textPosition: 0.75,\n            titleFontSize: 16,\n            titleFontWeight: \"600\",\n            titleFontFamily: \"inherit\",\n            textFontSize: 12,\n            textFontWeight: \"400\",\n            textFontFamily: \"inherit\",\n          },\n          quadrantChart: {\n            chartWidth: 400,\n            chartHeight: 400,\n            titleFontSize: 16,\n            titleFontWeight: \"600\",\n            titleFontFamily: \"inherit\",\n            quadrant1TextFill: \"#6b7280\",\n            quadrant2TextFill: \"#6b7280\",\n            quadrant3TextFill: \"#6b7280\",\n            quadrant4TextFill: \"#6b7280\",\n            quadrant1Fill: \"#f0f9ff\",\n            quadrant2Fill: \"#fef3c7\",\n            quadrant3Fill: \"#fce7f3\",\n            quadrant4Fill: \"#ecfdf5\",\n            quadrantXAxisTextFill: \"#9ca3af\",\n            quadrantYAxisTextFill: \"#9ca3af\",\n            quadrantTitleFill: \"#6b7280\",\n            quadrantInternalBorderStrokeFill: \"#d1d5db\",\n            quadrantExternalBorderStrokeFill: \"#9ca3af\",\n          },\n          xyChart: {\n            width: 400,\n            height: 300,\n            titleFontSize: 16,\n            titleFontWeight: \"600\",\n            titleFontFamily: \"inherit\",\n            xAxisLabelFontSize: 12,\n            xAxisLabelFontWeight: \"400\",\n            xAxisLabelFontFamily: \"inherit\",\n            yAxisLabelFontSize: 12,\n            yAxisLabelFontWeight: \"400\",\n            yAxisLabelFontFamily: \"inherit\",\n            xAxisTitleFontSize: 14,\n            xAxisTitleFontWeight: \"500\",\n            xAxisTitleFontFamily: \"inherit\",\n            yAxisTitleFontSize: 14,\n            yAxisTitleFontWeight: \"500\",\n            yAxisTitleFontFamily: \"inherit\",\n            chartOrientation: \"vertical\",\n            chartWidth: 400,\n            chartHeight: 300,\n            showValues: true,\n            showValuesFontSize: 10,\n            showValuesFontWeight: \"400\",\n            showValuesFontFamily: \"inherit\",\n          },\n        });\n\n        if (typeof mermaid.parse === \"function\") {\n          await mermaid.parse(code);\n        }\n\n        // Offscreen container for stable layout measurement\n        const container = document.createElement(\"div\");\n        container.style.position = \"absolute\";\n        container.style.visibility = \"hidden\";\n        container.style.left = \"-9999px\";\n        container.style.top = \"0\";\n        document.body.appendChild(container);\n\n        try {\n          const { svg } = await mermaid.render(idRef.current!, code, container);\n\n          // Process SVG for rendering\n\n          // Sanitize minimal: strip script and on* attributes\n          const sanitized = svg\n            .replace(/<script[\\s\\S]*?<\\/script>/gi, \"\")\n            .replace(/ on[a-z]+=\"[^\"]*\"/gi, \"\")\n            .replace(/ on[a-z]+='[^']*'/gi, \"\");\n\n          // Ensure preserveAspectRatio and vector-effect, but keep original dimensions\n          const withSvgAttrs = sanitized.replace(/<svg(.*?)>/i, (_m, attrs) => {\n            // Extract viewBox dimensions and set explicit width/height\n            const viewBoxMatch = attrs.match(/viewBox=\"([^\"]*)\"/i);\n            let processedAttrs = String(attrs);\n\n            if (viewBoxMatch) {\n              const viewBoxParts = viewBoxMatch[1].split(/\\s+/);\n              if (viewBoxParts.length >= 4) {\n                const width = viewBoxParts[2];\n                const height = viewBoxParts[3];\n\n                // Replace percentage width with actual pixel width\n                processedAttrs = processedAttrs.replace(\n                  /width=\"[^\"]*\"/i,\n                  `width=\"${width}\"`\n                );\n\n                // Add height if missing\n                if (!processedAttrs.match(/height=\"[^\"]*\"/i)) {\n                  processedAttrs = processedAttrs.replace(\n                    /<svg/i,\n                    `<svg height=\"${height}\"`\n                  );\n                }\n              }\n            }\n\n            return `<svg${processedAttrs} preserveAspectRatio=\"xMidYMid meet\">`;\n          });\n\n          const withVectorEffect = withSvgAttrs.replace(\n            /<path /gi,\n            '<path vector-effect=\"non-scaling-stroke\" '\n          );\n\n          // Encode as data URL to avoid innerHTML\n          const encoded = encodeURIComponent(withVectorEffect)\n            .replace(/\\(/g, \"%28\")\n            .replace(/\\)/g, \"%29\");\n          const dataUrl = `data:image/svg+xml;charset=utf-8,${encoded}`;\n\n          if (!cancelled) {\n            memoryCache.set(cacheKey, dataUrl);\n            resultRef.current = { dataUrl };\n            setResult({ dataUrl });\n          }\n        } finally {\n          if (document.body.contains(container)) {\n            document.body.removeChild(container);\n          }\n        }\n      } catch (err) {\n        if (!cancelled) {\n          resultRef.current = {\n            error:\n              err instanceof Error\n                ? err.message\n                : t(\"diagram.error.renderFailed\"),\n          };\n          setResult({\n            error:\n              err instanceof Error\n                ? err.message\n                : t(\"diagram.error.renderFailed\"),\n          });\n        }\n      }\n    };\n\n    run();\n    return () => {\n      cancelled = true;\n    };\n  }, [cacheKey, code]);\n\n\n  if (result && \"error\" in result) {\n    return (\n      <div className={`${className} mb-4`} style={{ maxHeight: maxHeight }}>\n        <div className=\"bg-gray-50 border border-gray-200 rounded-lg p-3\">\n          <pre className=\"text-xs font-mono text-gray-700 whitespace-pre-wrap overflow-x-auto\">\n            <code>{code}</code>\n          </pre>\n        </div>\n      </div>\n    );\n  }\n\n  return (\n    <div className={`${className} mb-4`} style={{ maxHeight: maxHeight }}>\n      {/* Control buttons - only show if showToggle is true */}\n      {showToggle && (\n        <div className=\"flex justify-end gap-2 mb-2\">\n          {!diagramState.showCode && (\n            <>\n              <button\n                onClick={handleZoomOut}\n                className=\"inline-flex items-center justify-center w-8 h-8 text-xs font-medium text-gray-600 bg-white border border-gray-300 rounded-lg hover:bg-gray-50 hover:text-gray-700 hover:border-gray-400 transition-all duration-200 shadow-sm\"\n                title={t(\"diagram.button.zoomOut\")}\n              >\n                <ZoomOut size={14} />\n              </button>\n              <button\n                onClick={handleZoomIn}\n                className=\"inline-flex items-center justify-center w-8 h-8 text-xs font-medium text-gray-600 bg-white border border-gray-300 rounded-lg hover:bg-gray-50 hover:text-gray-700 hover:border-gray-400 transition-all duration-200 shadow-sm\"\n                title={t(\"diagram.button.zoomIn\")}\n              >\n                <ZoomIn size={14} />\n              </button>\n              <div className=\"relative\">\n                <button\n                  onClick={handleDownloadClick}\n                  className=\"inline-flex items-center justify-center w-8 h-8 text-xs font-medium text-gray-600 bg-white border border-gray-300 rounded-lg hover:bg-gray-50 hover:text-gray-700 hover:border-gray-400 transition-all duration-200 shadow-sm\"\n                  title={t(\"diagram.button.download\")}\n                >\n                  <Download size={14} />\n                </button>\n                {showFormatMenu && (\n                  <div\n                    data-format-menu=\"true\"\n                    className=\"absolute right-0 top-full mt-1 w-36 bg-white border border-gray-200 rounded-md shadow-lg z-50\"\n                    onClick={(e) => {\n                      e.stopPropagation();\n                    }}\n                  >\n                    <div className=\"py-1\">\n                      <button\n                        onClick={() => {\n                          handleFormatSelect(\"svg\");\n                        }}\n                        className=\"w-full px-3 py-2 text-left text-sm flex items-center gap-2 hover:bg-gray-50 text-gray-700\"\n                      >\n                        <FileText size={14} />\n                        {t(\"diagram.format.svg\")}\n                      </button>\n                      <button\n                        onClick={() => {\n                          handleFormatSelect(\"png\");\n                        }}\n                        className=\"w-full px-3 py-2 text-left text-sm flex items-center gap-2 hover:bg-gray-50 text-gray-700\"\n                      >\n                        <FileImage size={14} />\n                        {t(\"diagram.format.png\")}\n                      </button>\n                    </div>\n                  </div>\n                )}\n              </div>\n            </>\n          )}\n          <button\n            onClick={handleToggleShowCode}\n            className=\"inline-flex items-center gap-2 px-3 py-1.5 text-xs font-medium text-gray-600 bg-white border border-gray-300 rounded-lg hover:bg-gray-50 hover:text-gray-700 hover:border-gray-400 transition-all duration-200 shadow-sm\"\n            title={\n              diagramState.showCode\n                ? t(\"diagram.button.showDiagram\")\n                : t(\"diagram.button.showCode\")\n            }\n          >\n            {diagramState.showCode ? (\n              <>\n                <Eye size={14} />\n                {t(\"diagram.button.showDiagram\")}\n              </>\n            ) : (\n              <>\n                <Code size={14} />\n                {t(\"diagram.button.showCode\")}\n              </>\n            )}\n          </button>\n        </div>\n      )}\n\n      {/* Content area */}\n      {diagramState.showCode ? (\n        <div className=\"bg-gray-50 border border-gray-200 rounded-lg p-3\">\n          <pre className=\"text-xs font-mono text-gray-700 whitespace-pre-wrap overflow-x-auto\">\n            <code>{code}</code>\n          </pre>\n        </div>\n      ) : (\n        <>\n          {!result || !(\"dataUrl\" in result) ? (\n            <div className=\"mermaid-loading flex justify-center items-center py-8\">\n              <div className=\"animate-spin rounded-full h-6 w-6 border-b-2 border-gray-400\" />\n            </div>\n          ) : (\n            <div\n              ref={containerRef}\n              className=\"w-full overflow-hidden\"\n              style={{\n                maxHeight: maxHeight || \"auto\",\n                height: \"auto\",\n                minHeight:\n                  diagramState.zoomLevel !== 1\n                    ? `${\n                        (isWideDiagram ? 200 : 400) *\n                        Math.max(diagramState.zoomLevel, 0.5)\n                      }px`\n                    : \"auto\",\n                cursor:\n                  diagramState.zoomLevel > 1\n                    ? isDragging\n                      ? \"grabbing\"\n                      : \"grab\"\n                    : \"default\",\n              }}\n              onMouseDown={handleMouseDown}\n              onMouseMove={handleMouseMove}\n              onMouseUp={handleMouseUp}\n              onMouseLeave={handleMouseLeave}\n              onKeyDown={handleKeyDown}\n              tabIndex={diagramState.zoomLevel > 1 ? 0 : -1}\n            >\n              <img\n                src={result.dataUrl}\n                alt={ariaLabel || \"diagram\"}\n                className=\"h-auto block mx-auto\"\n                style={{\n                  // Simplified maxWidth logic - no dynamic adjustment based on zoom\n                  maxWidth: getFixedMaxWidth(),\n                  height: \"auto\",\n                  display: \"block\",\n                  // Optimized transform - separate scale and translate for better performance\n                  transform: `translate(${diagramState.panX}px, ${diagramState.panY}px) scale(${diagramState.zoomLevel})`,\n                  transformOrigin: \"center\",\n                  // Add smooth transition for better UX\n                  transition: \"transform 0.2s ease-out\",\n                  // Remove conflicting minWidth\n                  pointerEvents: \"none\", // Prevent image from interfering with drag events\n                }}\n                onLoad={(e) => {\n                  const img = e.target as HTMLImageElement;\n                  const aspectRatio = img.naturalWidth / img.naturalHeight;\n                  const isWide = aspectRatio > 1.5; // Aspect ratio > 1.5 is considered a wide chart\n\n                  setIsWideDiagram(isWide);\n                }}\n              />\n            </div>\n          )}\n        </>\n      )}\n    </div>\n  );\n}\n\n// Memoize the component to prevent unnecessary re-renders\nexport const Diagram = React.memo(DiagramComponent);\n"
  },
  {
    "path": "frontend/components/ui/card.tsx",
    "content": "import * as React from \"react\";\n\nimport { cn } from \"@/lib/utils\";\n\nconst Card = React.forwardRef<\n  HTMLDivElement,\n  React.HTMLAttributes<HTMLDivElement>\n>(({ className, ...props }, ref) => (\n  <div\n    ref={ref}\n    className={cn(\n      \"rounded-lg border bg-card text-card-foreground shadow-sm\",\n      className\n    )}\n    {...props}\n  />\n));\nCard.displayName = \"Card\";\n\nconst CardHeader = React.forwardRef<\n  HTMLDivElement,\n  React.HTMLAttributes<HTMLDivElement>\n>(({ className, ...props }, ref) => (\n  <div\n    ref={ref}\n    className={cn(\"flex flex-col space-y-1.5 p-6\", className)}\n    {...props}\n  />\n));\nCardHeader.displayName = \"CardHeader\";\n\nconst CardTitle = React.forwardRef<\n  HTMLDivElement,\n  React.HTMLAttributes<HTMLDivElement>\n>(({ className, ...props }, ref) => (\n  <div\n    ref={ref}\n    className={cn(\n      \"text-2xl font-semibold leading-none tracking-tight\",\n      className\n    )}\n    {...props}\n  />\n));\nCardTitle.displayName = \"CardTitle\";\n\nconst CardDescription = React.forwardRef<\n  HTMLDivElement,\n  React.HTMLAttributes<HTMLDivElement>\n>(({ className, ...props }, ref) => (\n  <div\n    ref={ref}\n    className={cn(\"text-sm text-muted-foreground\", className)}\n    {...props}\n  />\n));\nCardDescription.displayName = \"CardDescription\";\n\nconst CardContent = React.forwardRef<\n  HTMLDivElement,\n  React.HTMLAttributes<HTMLDivElement>\n>(({ className, ...props }, ref) => (\n  <div ref={ref} className={cn(\"p-6 pt-0\", className)} {...props} />\n));\nCardContent.displayName = \"CardContent\";\n\nconst CardFooter = React.forwardRef<\n  HTMLDivElement,\n  React.HTMLAttributes<HTMLDivElement>\n>(({ className, ...props }, ref) => (\n  <div\n    ref={ref}\n    className={cn(\"flex items-center p-6 pt-0\", className)}\n    {...props}\n  />\n));\nCardFooter.displayName = \"CardFooter\";\n\nexport {\n  Card,\n  CardHeader,\n  CardFooter,\n  CardTitle,\n  CardDescription,\n  CardContent,\n};\n"
  },
  {
    "path": "frontend/components/ui/copyButton.tsx",
    "content": "import React from \"react\";\nimport { useTranslation } from \"react-i18next\";\nimport { Copy } from \"lucide-react\";\n\nimport { copyToClipboard } from \"@/lib/clipboard\";\nimport log from \"@/lib/logger\";\nimport { Button } from \"antd\";\nimport { Tooltip, TooltipProvider } from \"@/components/ui/tooltip\";\n\n\ninterface CopyButtonProps {\n  content: string;\n  variant?: \"default\" | \"code-block\" | \"message\";\n  size?: \"sm\" | \"md\" | \"lg\";\n  className?: string;\n  disabled?: boolean;\n  onCopySuccess?: () => void;\n  onCopyError?: (error: Error) => void;\n  tooltipText?: {\n    copy: string;\n    copied: string;\n  };\n}\n\nexport const CopyButton: React.FC<CopyButtonProps> = ({\n  content,\n  variant = \"default\",\n  size = \"md\",\n  className = \"\",\n  disabled = false,\n  onCopySuccess,\n  onCopyError,\n  tooltipText,\n}) => {\n  const { t } = useTranslation(\"common\");\n  const [copied, setCopied] = React.useState(false);\n\n  const handleCopy = async () => {\n    if (!content || disabled) return;\n\n    try {\n      await copyToClipboard(content);\n      setCopied(true);\n      setTimeout(() => setCopied(false), 2000);\n      onCopySuccess?.();\n    } catch (error) {\n      log.error(\"Failed to copy content:\", error);\n      onCopyError?.(error as Error);\n    }\n  };\n\n  // Default tooltip text\n  const defaultTooltipText = {\n    copy: t(\"copyButton.copy\", \"复制\"),\n    copied: t(\"copyButton.copied\", \"已复制\"),\n  };\n\n  const finalTooltipText = tooltipText || defaultTooltipText;\n\n  // Variant-specific styles\n  const getVariantStyles = () => {\n    switch (variant) {\n      case \"code-block\":\n        return {\n          button: `copy-button absolute top-2 right-2 p-1.5 rounded-md transition-colors duration-200 border ${\n            copied\n              ? \"bg-green-50 text-green-600 border-green-200\"\n              : \"bg-gray-100 hover:bg-gray-200 border-gray-200\"\n          }`,\n          icon: \"h-4 w-4\",\n          style: { zIndex: 10 },\n        };\n      case \"message\":\n        return {\n          button: `h-8 w-8 rounded-full bg-white hover:bg-gray-100 transition-all duration-200 shadow-sm ${\n            copied ? \"bg-green-50 text-green-600 border-green-200\" : \"\"\n          }`,\n          icon: \"h-4 w-4\",\n          style: {},\n        };\n      default:\n        return {\n          button: `transition-all duration-200 ${\n            copied ? \"bg-green-50 text-green-600 border-green-200\" : \"\"\n          }`,\n          icon: \"h-4 w-4\",\n          style: {},\n        };\n    }\n  };\n\n  const variantStyles = getVariantStyles();\n\n  // Size-specific styles\n  const getSizeStyles = () => {\n    switch (size) {\n      case \"sm\":\n        return \"h-6 w-6\";\n      case \"lg\":\n        return \"h-10 w-10\";\n      default:\n        return \"h-8 w-8\";\n    }\n  };\n\n  const sizeStyles = getSizeStyles();\n\n  return (\n    <TooltipProvider>\n      <Tooltip title={<p>{copied ? finalTooltipText.copied : finalTooltipText.copy}</p>}>\n        <Button\n          type=\"text\"\n          size=\"small\"\n          className={`${variantStyles.button} ${sizeStyles} ${className}`}\n          onClick={handleCopy}\n          disabled={disabled || copied}\n          style={variantStyles.style}\n          title={copied ? finalTooltipText.copied : finalTooltipText.copy}\n        >\n          <Copy className={variantStyles.icon} />\n        </Button>\n      </Tooltip>\n    </TooltipProvider>\n  );\n};\n"
  },
  {
    "path": "frontend/components/ui/input.tsx",
    "content": "import * as React from \"react\";\n\nimport { cn } from \"@/lib/utils\";\n\nconst Input = React.forwardRef<HTMLInputElement, React.ComponentProps<\"input\">>(\n  ({ className, type, ...props }, ref) => {\n    return (\n      <input\n        type={type}\n        className={cn(\n          \"flex h-10 w-full rounded-md border border-input bg-background px-3 py-2 text-base ring-offset-background file:border-0 file:bg-transparent file:text-sm file:font-medium file:text-foreground placeholder:text-muted-foreground focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 disabled:cursor-not-allowed disabled:opacity-50 md:text-sm\",\n          className\n        )}\n        ref={ref}\n        {...props}\n      />\n    );\n  }\n);\nInput.displayName = \"Input\";\n\nexport { Input };\n"
  },
  {
    "path": "frontend/components/ui/loading.tsx",
    "content": "import { useTranslation } from \"react-i18next\";\n\ninterface LoadingProps {\n  message?: string;\n  size?: \"sm\" | \"md\" | \"lg\";\n  className?: string;\n}\n\nexport function Loading({\n  message,\n  size = \"md\",\n  className = \"\",\n}: LoadingProps) {\n  const { t } = useTranslation();\n\n  const sizeClasses = {\n    sm: \"h-8 w-8\",\n    md: \"h-12 w-12\",\n    lg: \"h-16 w-16\",\n  };\n\n  const defaultMessage = t(\"common.loading\");\n\n  return (\n    <div className={`flex items-center justify-center ${className}`}>\n      <div className=\"text-center\">\n        <div\n          className={`animate-spin rounded-full border-b-2 border-primary mx-auto mb-4 ${sizeClasses[size]}`}\n        ></div>\n        <p className=\"text-muted-foreground\">{message || defaultMessage}</p>\n      </div>\n    </div>\n  );\n}\n\nexport function FullScreenLoading({\n  message,\n  size = \"md\",\n}: Omit<LoadingProps, \"className\">) {\n  return (\n    <div className=\"flex h-screen items-center justify-center\">\n      <Loading message={message} size={size} />\n    </div>\n  );\n}\n"
  },
  {
    "path": "frontend/components/ui/markdownRenderer.tsx",
    "content": "\"use client\";\n\nimport React from \"react\";\nimport { useTranslation } from \"react-i18next\";\nimport ReactMarkdown from \"react-markdown\";\nimport remarkGfm from \"remark-gfm\";\nimport remarkMath from \"remark-math\";\nimport rehypeRaw from \"rehype-raw\";\nimport rehypeKatex from \"rehype-katex\";\n// @ts-ignore\nimport { Prism as SyntaxHighlighter } from \"react-syntax-highlighter\";\n// @ts-ignore\nimport { oneLight } from \"react-syntax-highlighter/dist/esm/styles/prism\";\nimport { visit } from \"unist-util-visit\";\nimport { SearchResult } from \"@/types/chat\";\nimport { resolveS3UrlToDataUrl } from \"@/services/storageService\";\nimport { Tooltip, TooltipProvider } from \"@/components/ui/tooltip\";\nimport { CopyButton } from \"@/components/ui/copyButton\";\nimport { Diagram } from \"@/components/ui/Diagram\";\n\ninterface MarkdownRendererProps {\n  content: string;\n  className?: string;\n  searchResults?: SearchResult[];\n  showDiagramToggle?: boolean;\n  onCitationHover?: () => void;\n  enableMultimodal?: boolean;\n  /**\n   * When true, resolve s3:// media URLs in markdown into data URLs (base64)\n   * so that images can still be displayed after page refresh or when\n   * the original S3 URL is not directly accessible by the browser.\n   */\n  resolveS3Media?: boolean;\n}\n\n// Simple in-memory cache to avoid refetching the same S3 object multiple times\nconst s3MediaCache = new Map<string, string>();\nconst mediaObjectUrlCache = new Map<string, string>();\nconst mediaObjectUrlPromiseCache = new Map<string, Promise<string | null>>();\nconst S3_MEDIA_SESSION_PREFIX = \"s3-media-cache:\";\n\nconst isBrowserEnvironment = typeof window !== \"undefined\";\n\nconst getSessionCachedValue = (key: string): string | null => {\n  if (!isBrowserEnvironment) {\n    return null;\n  }\n  try {\n    return window.sessionStorage.getItem(key);\n  } catch {\n    return null;\n  }\n};\n\nconst getCachedMediaSrc = (src: string): string | null => {\n  const cached = s3MediaCache.get(src);\n  if (cached) {\n    return cached;\n  }\n  const sessionValue = getSessionCachedValue(src);\n  if (sessionValue) {\n    s3MediaCache.set(src, sessionValue);\n    return sessionValue;\n  }\n  return null;\n};\n\nconst setCachedMediaSrc = (src: string, value: string) => {\n  s3MediaCache.set(src, value);\n  if (!isBrowserEnvironment) {\n    return;\n  }\n  try {\n    window.sessionStorage.setItem(`${S3_MEDIA_SESSION_PREFIX}${src}`, value);\n  } catch {\n    // Ignore storage quota errors silently.\n  }\n};\n\nconst setCachedObjectUrl = (src: string, objectUrl: string | null) => {\n  if (!objectUrl) {\n    return;\n  }\n  const existing = mediaObjectUrlCache.get(src);\n  if (existing && existing !== objectUrl) {\n    URL.revokeObjectURL(existing);\n  }\n  mediaObjectUrlCache.set(src, objectUrl);\n};\n\nconst resolveMediaToObjectUrl = async (\n  src: string,\n  { resolveS3 }: { resolveS3: boolean }\n): Promise<string | null> => {\n  try {\n    if (src.startsWith(\"blob:\")) {\n      return src;\n    }\n\n    if (src.startsWith(\"s3://\")) {\n      if (!resolveS3) {\n        return null;\n      }\n      const dataUrl = await resolveS3UrlToDataUrl(src);\n      if (!dataUrl) {\n        return null;\n      }\n      const response = await fetch(dataUrl);\n      if (!response.ok) {\n        return null;\n      }\n      const blob = await response.blob();\n      return URL.createObjectURL(blob);\n    }\n\n    if (\n      src.startsWith(\"http://\") ||\n      src.startsWith(\"https://\") ||\n      src.startsWith(\"/api/\") ||\n      src.startsWith(\"/nexent/\") ||\n      src.startsWith(\"/attachments/\") ||\n      src.startsWith(\"/\")\n    ) {\n      const response = await fetch(src);\n      if (!response.ok) {\n        return null;\n      }\n      const blob = await response.blob();\n      return URL.createObjectURL(blob);\n    }\n\n    if (src.startsWith(\"data:\")) {\n      const response = await fetch(src);\n      if (!response.ok) {\n        return null;\n      }\n      const blob = await response.blob();\n      return URL.createObjectURL(blob);\n    }\n\n    return null;\n  } catch {\n    return null;\n  }\n};\n\nconst usePrefetchedMediaSource = (\n  src?: string,\n  options?: { enable?: boolean; resolveS3?: boolean }\n) => {\n  const shouldPrefetch =\n    Boolean(\n      options?.enable &&\n        src &&\n        typeof src === \"string\" &&\n        !src.startsWith(\"blob:\") &&\n        (src.startsWith(\"s3://\") ||\n          src.startsWith(\"http://\") ||\n          src.startsWith(\"https://\") ||\n          src.startsWith(\"/\"))\n    ) || false;\n\n  const [resolvedSrc, setResolvedSrc] = React.useState<string | null>(() => {\n    if (!src || typeof src !== \"string\") {\n      return null;\n    }\n    if (!shouldPrefetch) {\n      return src;\n    }\n    return mediaObjectUrlCache.get(src) ?? null;\n  });\n\n  React.useEffect(() => {\n    if (!src || typeof src !== \"string\") {\n      setResolvedSrc(null);\n      return;\n    }\n\n    if (!shouldPrefetch) {\n      setResolvedSrc(src);\n      return;\n    }\n\n    const cached = mediaObjectUrlCache.get(src);\n    if (cached) {\n      setResolvedSrc(cached);\n      return;\n    }\n\n    let cancelled = false;\n\n    const promise =\n      mediaObjectUrlPromiseCache.get(src) ??\n      resolveMediaToObjectUrl(src, {\n        resolveS3: options?.resolveS3 ?? true,\n      });\n\n    mediaObjectUrlPromiseCache.set(src, promise);\n\n    promise\n      .then((objectUrl) => {\n        if (cancelled) {\n          return;\n        }\n        if (!objectUrl) {\n          setResolvedSrc(null);\n          return;\n        }\n        setCachedObjectUrl(src, objectUrl);\n        setResolvedSrc(objectUrl);\n      })\n      .catch(() => {\n        if (!cancelled) {\n          setResolvedSrc(null);\n        }\n      })\n      .finally(() => {\n        mediaObjectUrlPromiseCache.delete(src);\n      });\n\n    return () => {\n      cancelled = true;\n    };\n  }, [options?.resolveS3, shouldPrefetch, src]);\n\n  return resolvedSrc;\n};\n\nconst useResolvedS3Media = (src?: string, shouldResolve?: boolean) => {\n  const cachedInitial =\n    typeof src === \"string\" && src.startsWith(\"s3://\")\n      ? getCachedMediaSrc(src)\n      : null;\n  const initialValue =\n    typeof src === \"string\"\n      ? !shouldResolve || !src.startsWith(\"s3://\")\n        ? src\n        : cachedInitial\n      : null;\n  const [resolvedSrc, setResolvedSrc] = React.useState<string | null>(\n    initialValue\n  );\n\n  React.useEffect(() => {\n    if (!src || typeof src !== \"string\") {\n      setResolvedSrc(null);\n      return;\n    }\n\n    if (!shouldResolve || !src.startsWith(\"s3://\")) {\n      setResolvedSrc(src);\n      return;\n    }\n\n    const cached = getCachedMediaSrc(src);\n    if (cached) {\n      setResolvedSrc(cached);\n      return;\n    }\n\n    let cancelled = false;\n\n    resolveS3UrlToDataUrl(src)\n      .then((dataUrl) => {\n        if (cancelled) {\n          return;\n        }\n        if (dataUrl) {\n          setCachedMediaSrc(src, dataUrl);\n          setResolvedSrc(dataUrl);\n        } else {\n          setResolvedSrc(null);\n        }\n      })\n      .catch(() => {\n        if (!cancelled) {\n          setResolvedSrc(null);\n        }\n      });\n\n    return () => {\n      cancelled = true;\n    };\n  }, [src, shouldResolve]);\n\n  return resolvedSrc;\n};\n\nconst VIDEO_EXTENSIONS = [\".mp4\", \".webm\", \".ogg\", \".mov\", \".m4v\"];\n\nconst extractExtension = (value: string): string => {\n  const normalized = value.split(\"?\")[0].split(\"#\")[0];\n  const match = normalized.toLowerCase().match(/\\.[a-z0-9]+$/);\n  return match?.[0] ?? \"\";\n};\n\nconst isVideoUrl = (url?: string): boolean => {\n  if (!url) {\n    return false;\n  }\n\n  const trimmed = url.trim();\n  if (!trimmed.startsWith(\"http://\") && !trimmed.startsWith(\"https://\")) {\n    return false;\n  }\n\n  const extension = extractExtension(trimmed);\n  return VIDEO_EXTENSIONS.includes(extension);\n};\n\n// extract block level elements from <p>\nconst rehypeUnwrapMedia = () => {\n  return (tree: any) => {\n    visit(tree, \"element\", (node, index, parent) => {\n      // find <p> tags containing video or figure\n      if (node.tagName === \"p\" && node.children) {\n        const mediaChildIndex = node.children.findIndex(\n          (child: any) =>\n            child.tagName === \"video\" || child.tagName === \"figure\"\n        );\n\n        if (mediaChildIndex !== -1) {\n          // extract media elements (video/figure)\n          const mediaChild = node.children.splice(mediaChildIndex, 1)[0];\n\n          // if <p> has other content after extraction, keep <p>; otherwise remove empty <p>\n          if (node.children.length === 0) {\n            // replace original <p> node with media element\n            if (parent && index !== null) {\n              parent.children[index as number] = {\n                tagName: \"div\",\n                properties: { className: \"markdown-media-container\" },\n                children: [mediaChild],\n              };\n            }\n          } else {\n            // if <p> has other content after extraction, keep <p>; otherwise remove empty <p>\n            if (parent && index !== null) {\n              parent.children.splice((index as number) + 1, 0, {\n                tagName: \"div\",\n                properties: { className: \"markdown-media-container\" },\n                children: [mediaChild],\n              });\n            }\n          }\n        }\n      }\n    });\n  };\n};\n\n// Get background color for different tool signs\nconst getBackgroundColor = (toolSign: string) => {\n  switch (toolSign) {\n    case \"a\":\n      return \"#E3F2FD\"; // Light blue\n    case \"b\":\n      return \"#E8F5E9\"; // Light green\n    case \"c\":\n      return \"#FFF3E0\"; // Light orange\n    case \"d\":\n      return \"#F3E5F5\"; // Light purple\n    case \"e\":\n      return \"#FFEBEE\"; // Light red\n    default:\n      return \"#E5E5E5\"; // Default light gray\n  }\n};\n\n// Replace the original LinkIcon component\nconst CitationBadge = ({\n  toolSign,\n  citeIndex,\n}: {\n  toolSign: string;\n  citeIndex: number;\n}) => (\n  <span\n    className=\"ds-markdown-cite\"\n    style={{\n      verticalAlign: \"middle\",\n      fontVariant: \"tabular-nums\",\n      boxSizing: \"border-box\",\n      color: \"#404040\",\n      cursor: \"pointer\",\n      background: getBackgroundColor(toolSign),\n      borderRadius: \"9px\",\n      flexShrink: 0,\n      justifyContent: \"center\",\n      alignItems: \"center\",\n      height: \"18px\",\n      marginLeft: \"4px\",\n      padding: \"0 6px\",\n      fontSize: \"12px\",\n      fontWeight: 400,\n      display: \"inline-flex\",\n      position: \"relative\",\n      top: \"-2px\",\n    }}\n  >\n    {citeIndex}\n  </span>\n);\n\n// Modified HoverableText component\nconst HoverableText = ({\n  text,\n  searchResults,\n  onCitationHover,\n}: {\n  text: string;\n  searchResults?: SearchResult[];\n  onCitationHover?: () => void;\n}) => {\n  const [isOpen, setIsOpen] = React.useState(false);\n  const containerRef = React.useRef<HTMLSpanElement>(null);\n  const tooltipRef = React.useRef<HTMLDivElement>(null);\n  const mousePositionRef = React.useRef({ x: 0, y: 0 });\n\n  // Function to handle multiple consecutive line breaks\n  const handleConsecutiveNewlines = (text: string) => {\n    if (!text) return text;\n    return (\n      text\n        // First, standardize all types of line breaks to \\n\n        .replace(/\\r\\n/g, \"\\n\") // Windows line breaks\n        .replace(/\\r/g, \"\\n\") // Old Mac line breaks\n        // Handle consecutive line breaks and whitespace\n        .replace(/[\\n\\s]*\\n[\\n\\s]*/g, \"\\n\") // Process whitespace around line breaks\n        .replace(/^\\s+|\\s+$/g, \"\")\n    ); // Remove leading and trailing whitespace\n  };\n\n  // Find corresponding search result\n  const toolSign = text.charAt(0);\n  const citeIndex = parseInt(text.slice(1));\n  const matchedResult = searchResults?.find(\n    (result) => result.tool_sign === toolSign && result.cite_index === citeIndex\n  );\n\n  // Handle mouse events\n  React.useEffect(() => {\n    const container = containerRef.current;\n    if (!container) return;\n\n    let timeoutId: NodeJS.Timeout | null = null;\n    let closeTimeoutId: NodeJS.Timeout | null = null;\n\n    // Function to update mouse position\n    const updateMousePosition = (e: MouseEvent) => {\n      mousePositionRef.current = { x: e.clientX, y: e.clientY };\n    };\n\n    const handleMouseEnter = () => {\n      // Clear any existing close timer\n      if (closeTimeoutId) {\n        clearTimeout(closeTimeoutId);\n        closeTimeoutId = null;\n      }\n\n      if (timeoutId) {\n        clearTimeout(timeoutId);\n      }\n\n      // Clear completed conversation indicator when hovering over citation\n      if (onCitationHover) {\n        onCitationHover();\n      }\n\n      // Delay before showing tooltip to avoid quick hover triggers\n      timeoutId = setTimeout(() => {\n        setIsOpen(true);\n      }, 50);\n    };\n\n    const handleMouseLeave = () => {\n      // Clear open timer\n      if (timeoutId) {\n        clearTimeout(timeoutId);\n        timeoutId = null;\n      }\n\n      // Delay closing tooltip so user can move to tooltip content\n      closeTimeoutId = setTimeout(() => {\n        checkShouldClose();\n      }, 100);\n    };\n\n    // Function to check if tooltip should be closed\n    const checkShouldClose = () => {\n      const linkElement = containerRef.current;\n      const { x: mouseX, y: mouseY } = mousePositionRef.current;\n\n      // Find any visible tooltip popups (antd uses role=\"tooltip\")\n      const tooltipEls = Array.from(document.querySelectorAll('[role=\"tooltip\"]')) as HTMLElement[];\n      const isMouseOverTooltip = tooltipEls.some((el) => {\n        const rect = el.getBoundingClientRect();\n        return mouseX >= rect.left && mouseX <= rect.right && mouseY >= rect.top && mouseY <= rect.bottom;\n      });\n\n      if (!linkElement && !isMouseOverTooltip) {\n        setIsOpen(false);\n        return;\n      }\n\n      const linkRect = linkElement?.getBoundingClientRect();\n\n      const isMouseOverLink = !!linkRect && mouseX >= linkRect.left && mouseX <= linkRect.right && mouseY >= linkRect.top && mouseY <= linkRect.bottom;\n\n      // Close tooltip if mouse is neither over tooltip nor link icon\n      if (!isMouseOverTooltip && !isMouseOverLink) {\n        setIsOpen(false);\n      }\n    };\n\n    // Add global mouse move event listener to handle movement anywhere\n    const handleGlobalMouseMove = (e: MouseEvent) => {\n      // Update mouse position\n      updateMousePosition(e);\n\n      if (!isOpen) return;\n\n      // Use debounce logic to avoid frequent calculations\n      if (closeTimeoutId) {\n        clearTimeout(closeTimeoutId);\n      }\n\n      closeTimeoutId = setTimeout(() => {\n        checkShouldClose();\n      }, 100);\n    };\n\n    // Add event listeners\n    document.addEventListener(\"mousemove\", handleGlobalMouseMove);\n    container.addEventListener(\"mouseenter\", handleMouseEnter);\n    container.addEventListener(\"mouseleave\", handleMouseLeave);\n\n    return () => {\n      if (timeoutId) {\n        clearTimeout(timeoutId);\n      }\n      if (closeTimeoutId) {\n        clearTimeout(closeTimeoutId);\n      }\n      document.removeEventListener(\"mousemove\", handleGlobalMouseMove);\n      container.removeEventListener(\"mouseenter\", handleMouseEnter);\n      container.removeEventListener(\"mouseleave\", handleMouseLeave);\n    };\n  }, [isOpen, onCitationHover]);\n\n  return (\n    <TooltipProvider>\n      <Tooltip\n        styles={{\n          container: { padding: 0, background: \"transparent\", boxShadow: \"none\" },\n        }}\n        title={\n          <div\n            className=\"z-[9999] bg-white px-3 py-2 text-sm border border-gray-200 rounded-md shadow-md max-w-xl overflow-hidden\"\n            style={\n              {\n                \"--scrollbar-width\": \"8px\",\n                \"--scrollbar-height\": \"8px\",\n                \"--scrollbar-track-bg\": \"transparent\",\n                \"--scrollbar-thumb-bg\": \"rgb(209, 213, 219)\",\n                \"--scrollbar-thumb-hover-bg\": \"rgb(156, 163, 175)\",\n                \"--scrollbar-thumb-radius\": \"9999px\",\n                boxSizing: \"border-box\",\n                /* allow larger tooltip but constrain to viewport */\n                maxWidth: \"min(720px, 50vw)\",\n                width: \"min(720px, 50vw)\",\n              } as React.CSSProperties\n            }\n          >\n            <div\n              ref={tooltipRef}\n              className=\"whitespace-pre-wrap overflow-y-auto\"\n              style={{\n                maxHeight: 240,\n                minWidth: 360,\n                width: \"100%\",\n                maxWidth: \"min(680px, 95vw)\",\n                scrollbarWidth: \"thin\",\n                scrollbarColor:\n                  \"var(--scrollbar-thumb-bg) var(--scrollbar-track-bg)\",\n                wordBreak: \"break-word\",\n                overflowWrap: \"break-word\",\n                overflowX: \"auto\",\n              }}\n            >\n              <style jsx>{`\n                div::-webkit-scrollbar {\n                  width: var(--scrollbar-width);\n                  height: var(--scrollbar-height);\n                }\n                div::-webkit-scrollbar-track {\n                  background: var(--scrollbar-track-bg);\n                }\n                div::-webkit-scrollbar-thumb {\n                  background: var(--scrollbar-thumb-bg);\n                  border-radius: var(--scrollbar-thumb-radius);\n                }\n                div::-webkit-scrollbar-thumb:hover {\n                  background: var(--scrollbar-thumb-hover-bg);\n                }\n                @media (prefers-color-scheme: dark) {\n                  div::-webkit-scrollbar-thumb {\n                    background: rgb(55, 65, 81);\n                  }\n                  div::-webkit-scrollbar-thumb:hover {\n                    background: rgb(75, 85, 99);\n                  }\n                }\n              `}</style>\n              {matchedResult ? (\n                <>\n                  {matchedResult.url &&\n                  matchedResult.source_type !== \"file\" &&\n                  !matchedResult.filename ? (\n                    <a\n                      href={matchedResult.url}\n                      target=\"_blank\"\n                      rel=\"noopener noreferrer\"\n                      className=\"font-medium mb-1 text-blue-600 hover:underline block\"\n                      style={{ wordBreak: \"break-all\" }}\n                    >\n                      {handleConsecutiveNewlines(matchedResult.title)}\n                    </a>\n                  ) : (\n                    <p className=\"font-medium mb-1\">\n                      {handleConsecutiveNewlines(matchedResult.title)}\n                    </p>\n                  )}\n                  <p className=\"text-gray-600\">\n                    {handleConsecutiveNewlines(matchedResult.text)}\n                  </p>\n                </>\n              ) : null}\n            </div>\n          </div>\n        }\n        open={isOpen}\n        placement=\"top\"\n      >\n        <span\n          ref={containerRef}\n          className=\"inline-flex items-center relative\"\n          style={{ zIndex: isOpen ? 1000 : \"auto\" }}\n        >\n          <span className=\"inline-flex items-center cursor-pointer transition-colors\">\n            <CitationBadge toolSign={toolSign} citeIndex={citeIndex} />\n          </span>\n        </span>\n      </Tooltip>\n    </TooltipProvider>\n  );\n};\n\n/**\n * Convert LaTeX delimiters to markdown math delimiters\n *\n * Converts:\n * - \\( ... \\) to $ ... $\n * - \\[ ... \\] to $$ ... $$\n */\nconst convertLatexDelimiters = (content: string): string => {\n  // Quick check: only process if LaTeX delimiters are present\n  if (!content.includes('\\\\(') && !content.includes('\\\\[')) {\n    return content;\n  }\n\n  return (\n    content\n      // Convert \\( ... \\) to $ ... $ (inline math)\n      .replace(/\\\\\\(([\\s\\S]*?)\\\\\\)/g, (_match, inner) => `$${inner}$`)\n      // Convert \\[ ... \\] to $$ ... $$ (display math)\n      .replace(/\\\\\\[([\\s\\S]*?)\\\\\\]/g, (_match, inner) => `$$${inner}$$\\n`)\n  );\n};\n\n// Video component with error handling - defined outside to prevent re-creation on each render\ninterface VideoWithErrorHandlingProps {\n  src: string;\n  alt?: string | null;\n  props?: React.VideoHTMLAttributes<HTMLVideoElement>;\n}\n\nconst VideoWithErrorHandling: React.FC<VideoWithErrorHandlingProps> = React.memo(({ src, alt, props = {} }) => {\n  const { t } = useTranslation(\"common\");\n  const [hasError, setHasError] = React.useState(false);\n\n  if (hasError) {\n    return (\n      <div className=\"markdown-media-error\">\n        <div className=\"markdown-media-error-message\">\n          {t(\"chatStreamMessage.videoLinkUnavailable\", {\n            defaultValue: \"This video link is unavailable\",\n          })}\n        </div>\n        {alt && (\n          <div className=\"markdown-media-error-caption\">{alt}</div>\n        )}\n      </div>\n    );\n  }\n\n  return (\n    <figure className=\"markdown-video-wrapper\">\n      <video\n        className=\"markdown-video\"\n        controls\n        preload=\"metadata\"\n        playsInline\n        src={src}\n        onError={() => setHasError(true)}\n        {...props}\n      >\n        {t(\"chatStreamMessage.videoNotSupported\", {\n          defaultValue: \"Sorry, your browser does not support embedded videos.\",\n        })}\n      </video>\n      {alt ? (\n        <figcaption className=\"markdown-video-caption\">{alt}</figcaption>\n      ) : null}\n    </figure>\n  );\n}, (prevProps, nextProps) => {\n  // Custom comparison function to prevent unnecessary re-renders\n  // Only compare src and alt, props object reference may change but content is the same\n  return prevProps.src === nextProps.src &&\n         prevProps.alt === nextProps.alt;\n});\n\nVideoWithErrorHandling.displayName = \"VideoWithErrorHandling\";\n\n// Image component with error handling - defined outside to prevent re-creation on each render\ninterface ImageWithErrorHandlingProps {\n  src: string;\n  alt?: string | null;\n}\n\nconst ImageWithErrorHandling: React.FC<ImageWithErrorHandlingProps> = React.memo(({ src, alt }) => {\n  const { t } = useTranslation(\"common\");\n  const [hasError, setHasError] = React.useState(false);\n\n  if (hasError) {\n    return (\n      <div className=\"markdown-media-error\">\n        <div className=\"markdown-media-error-message\">\n          {t(\"chatStreamMessage.imageLinkUnavailable\", {\n            defaultValue: \"This image link is unavailable\",\n          })}\n        </div>\n        {alt && (\n          <div className=\"markdown-media-error-caption\">{alt}</div>\n        )}\n      </div>\n    );\n  }\n\n  return (\n    <img\n      src={src}\n      alt={alt ?? undefined}\n      className=\"markdown-img\"\n      onError={() => setHasError(true)}\n    />\n  );\n}, (prevProps, nextProps) => {\n  // Custom comparison function to prevent unnecessary re-renders\n  return prevProps.src === nextProps.src &&\n         prevProps.alt === nextProps.alt;\n});\n\nImageWithErrorHandling.displayName = \"ImageWithErrorHandling\";\n\n/**\n * Render a code block with syntax highlighting, language label, and copy button\n * This is exported for use in other components that need to render code blocks directly\n */\nexport const CodeBlock: React.FC<{\n  codeContent: string;\n  language?: string;\n}> = ({ codeContent, language = \"python\" }) => {\n  const { t } = useTranslation(\"common\");\n\n  const customStyle = {\n    ...oneLight,\n    'pre[class*=\"language-\"]': {\n      ...oneLight['pre[class*=\"language-\"]'],\n      background: \"#f8f8f8\",\n      borderRadius: \"0\",\n      padding: \"12px 16px\",\n      margin: \"0\",\n      fontSize: \"0.875rem\",\n      lineHeight: \"1.5\",\n      whiteSpace: \"pre-wrap\",\n      wordWrap: \"break-word\",\n      wordBreak: \"break-word\",\n      overflowWrap: \"break-word\",\n      overflow: \"auto\",\n      width: \"100%\",\n      boxSizing: \"border-box\",\n      display: \"block\",\n      borderTop: \"none\",\n    },\n    'code[class*=\"language-\"]': {\n      ...oneLight['code[class*=\"language-\"]'],\n      background: \"#f8f8f8\",\n      color: \"#333333\",\n      fontSize: \"0.875rem\",\n      lineHeight: \"1.5\",\n      whiteSpace: \"pre-wrap\",\n      wordWrap: \"break-word\",\n      wordBreak: \"break-word\",\n      overflowWrap: \"break-word\",\n      width: \"100%\",\n      padding: \"0\",\n      display: \"block\",\n    },\n  };\n\n  const cleanedContent = codeContent.replace(/^\\n+|\\n+$/g, \"\");\n\n  return (\n    <div className=\"code-block-container group\">\n      <div className=\"code-block-header\">\n        <span className=\"code-language-label\" data-language={language}>\n          {language}\n        </span>\n        <CopyButton\n          content={cleanedContent}\n          variant=\"code-block\"\n          className=\"header-copy-button\"\n          tooltipText={{\n            copy: t(\"chatStreamMessage.copyContent\"),\n            copied: t(\"chatStreamMessage.copied\"),\n          }}\n        />\n      </div>\n      <div className=\"code-block-content\">\n        <SyntaxHighlighter style={customStyle} language={language} PreTag=\"div\">\n          {cleanedContent}\n        </SyntaxHighlighter>\n      </div>\n    </div>\n  );\n};\n\nexport const MarkdownRenderer: React.FC<MarkdownRendererProps> = ({\n  content,\n  className,\n  searchResults = [],\n  showDiagramToggle = true,\n  onCitationHover,\n  enableMultimodal = true,\n  resolveS3Media = false,\n}) => {\n  const { t } = useTranslation(\"common\");\n\n  // Convert LaTeX delimiters to markdown math delimiters\n  const processedContent = convertLatexDelimiters(content);\n\n  const renderCodeFallback = (text: string, key?: React.Key) => (\n    <code\n      key={key}\n      className=\"markdown-code block whitespace-pre-wrap break-words text-xs\"\n      style={{ fontFamily: \"var(--font-mono, monospace)\" }}\n    >\n      {text}\n    </code>\n  );\n\n  const buildMediaFallbackText = (src?: string | null, alt?: string | null) => {\n    if (alt) {\n      return `${t(\"chatStreamMessage.imageTextFallbackTitle\", {\n        defaultValue: \"Media (text view)\",\n      })}: ${alt}${src ? ` - ${src}` : \"\"}`;\n    }\n    return (\n      src ??\n      t(\"chatStreamMessage.imageTextFallbackTitle\", {\n        defaultValue: \"Media (text view)\",\n      })\n    );\n  };\n\n  const renderMediaFallback = (src?: string | null, alt?: string | null) =>\n    renderCodeFallback(buildMediaFallbackText(src, alt));\n\n  const renderVideoElement = ({\n    src,\n    alt,\n    props = {},\n  }: {\n    src?: string | null;\n    alt?: string | null;\n    props?: React.VideoHTMLAttributes<HTMLVideoElement>;\n  }) => {\n    if (!src) {\n      return null;\n    }\n\n    if (!enableMultimodal) {\n      return renderMediaFallback(src, alt);\n    }\n\n    return <VideoWithErrorHandling key={src} src={src} alt={alt} props={props} />;\n  };\n\n  const ImageResolver: React.FC<{ src?: string; alt?: string | null }> = ({\n    src,\n    alt,\n  }) => {\n    const resolvedSrc = useResolvedS3Media(\n      typeof src === \"string\" ? src : undefined,\n      resolveS3Media\n    );\n\n    if (!enableMultimodal) {\n      return renderMediaFallback(src, alt);\n    }\n\n    if (!resolvedSrc) {\n      return renderMediaFallback(src, alt);\n    }\n\n    if (isVideoUrl(resolvedSrc)) {\n      return renderVideoElement({ src: resolvedSrc, alt });\n    }\n\n    return <ImageWithErrorHandling key={resolvedSrc} src={resolvedSrc} alt={alt} />;\n  };\n\n  // Modified processText function logic\n  const processText = (text: string) => {\n    if (typeof text !== \"string\") return text;\n\n    const parts = text.split(/(\\[\\[[^\\]]+\\]\\]|:mermaid\\[[^\\]]+\\])/g);\n    return (\n      <>\n        {parts.map((part, index) => {\n          const match = part.match(/^\\[\\[([^\\]]+)\\]\\]$/);\n          if (match) {\n            const innerText = match[1];\n\n            const toolSign = innerText.charAt(0);\n            const citeIndex = parseInt(innerText.slice(1));\n            const hasMatch = searchResults?.some(\n              (result) =>\n                result.tool_sign === toolSign && result.cite_index === citeIndex\n            );\n\n            // Only show citation icon when matching search result is found\n            if (hasMatch) {\n              return (\n                <HoverableText\n                  key={index}\n                  text={innerText}\n                  searchResults={searchResults}\n                  onCitationHover={onCitationHover}\n                />\n              );\n            } else {\n              // Return empty string if no matching result found (display nothing)\n              return \"\";\n            }\n          }\n          // Inline Mermaid using :mermaid[graph LR; A-->B] - removed inline support\n          const mmd = part.match(/^:mermaid\\[([^\\]]+)\\]$/);\n          if (mmd) {\n            const code = mmd[1];\n            if (!enableMultimodal) {\n              return renderCodeFallback(code, `mmd-placeholder-${index}`);\n            }\n            return <Diagram key={`mmd-${index}`} code={code} className=\"my-4\" />;\n          }\n          // Handle line breaks in text content\n          if (part.includes('\\n')) {\n            return part.split('\\n').map((line, lineIndex) => (\n              <React.Fragment key={`${index}-${lineIndex}`}>\n                {line}\n                {lineIndex < part.split('\\n').length - 1 && <br />}\n              </React.Fragment>\n            ));\n          }\n          return part;\n        })}\n      </>\n    );\n  };\n\n  // Create wrapper component to handle different types of child elements\n  const TextWrapper = ({ children }: { children: any }) => {\n    if (typeof children === \"string\") {\n      return processText(children);\n    }\n    if (Array.isArray(children)) {\n      return (\n        <>\n          {children.map((child, index) => {\n            if (typeof child === \"string\") {\n              return (\n                <React.Fragment key={index}>\n                  {processText(child)}\n                </React.Fragment>\n              );\n            }\n            return child;\n          })}\n        </>\n      );\n    }\n    return children;\n  };\n\n  class MarkdownErrorBoundary extends React.Component<\n    { children: React.ReactNode; rawContent: string },\n    { hasError: boolean }\n  > {\n    constructor(props: { children: React.ReactNode; rawContent: string }) {\n      super(props);\n      this.state = { hasError: false };\n    }\n    static getDerivedStateFromError() {\n      return { hasError: true };\n    }\n    componentDidCatch(error: unknown) {}\n    render() {\n      if (this.state.hasError) {\n        return (\n          <div className=\"markdown-body\">\n            <pre className=\"whitespace-pre-wrap break-words text-sm\">\n              {this.props.rawContent}\n            </pre>\n          </div>\n        );\n      }\n      return this.props.children as React.ReactElement;\n    }\n  }\n\n  return (\n    <>\n      <div className={`markdown-body ${className || \"\"}`}>\n        <MarkdownErrorBoundary rawContent={processedContent}>\n          <ReactMarkdown\n            remarkPlugins={[remarkGfm, remarkMath] as any}\n            rehypePlugins={\n              [\n                rehypeUnwrapMedia,\n                [\n                  rehypeKatex,\n                  {\n                    throwOnError: false,\n                    strict: false,\n                    trust: true,\n                  },\n                ],\n                rehypeRaw,\n              ] as any\n            }\n            skipHtml={false}\n            components={{\n              // Heading components - now using CSS classes\n              h1: ({ children }: any) => (\n                <h1 className=\"markdown-h1\">\n                  <TextWrapper>{children}</TextWrapper>\n                </h1>\n              ),\n              h2: ({ children }: any) => (\n                <h2 className=\"markdown-h2\">\n                  <TextWrapper>{children}</TextWrapper>\n                </h2>\n              ),\n              h3: ({ children }: any) => (\n                <h3 className=\"markdown-h3\">\n                  <TextWrapper>{children}</TextWrapper>\n                </h3>\n              ),\n              h4: ({ children }: any) => (\n                <h4 className=\"markdown-h4\">\n                  <TextWrapper>{children}</TextWrapper>\n                </h4>\n              ),\n              h5: ({ children }: any) => (\n                <h5 className=\"markdown-h5\">\n                  <TextWrapper>{children}</TextWrapper>\n                </h5>\n              ),\n              h6: ({ children }: any) => (\n                <h6 className=\"markdown-h6\">\n                  <TextWrapper>{children}</TextWrapper>\n                </h6>\n              ),\n              // Paragraph\n              p: ({ children }: any) => (\n                <p className=\"markdown-paragraph\">\n                  <TextWrapper>{children}</TextWrapper>\n                </p>\n              ),\n              // Horizontal rule\n              hr: () => (\n                <hr className=\"markdown-hr\" />\n              ),\n              // Ordered list\n              ol: ({ children }: any) => (\n                <ol className=\"markdown-ol\">\n                  {children}\n                </ol>\n              ),\n              // Unordered list\n              ul: ({ children }: any) => (\n                <ul className=\"markdown-ul\">\n                  {children}\n                </ul>\n              ),\n              // List item\n              li: ({ children }: any) => (\n                <li className=\"markdown-li\">\n                  <TextWrapper>{children}</TextWrapper>\n                </li>\n              ),\n              // Blockquote\n              blockquote: ({ children }: any) => (\n                <blockquote className=\"markdown-blockquote\">\n                  <TextWrapper>{children}</TextWrapper>\n                </blockquote>\n              ),\n              // Table components\n              td: ({ children }: any) => (\n                <td className=\"markdown-td\">\n                  <TextWrapper>{children}</TextWrapper>\n                </td>\n              ),\n              th: ({ children }: any) => (\n                <th className=\"markdown-th\">\n                  <TextWrapper>{children}</TextWrapper>\n                </th>\n              ),\n              // Emphasis components\n              strong: ({ children }: any) => (\n                <strong className=\"markdown-strong\">\n                  <TextWrapper>{children}</TextWrapper>\n                </strong>\n              ),\n              em: ({ children }: any) => (\n                <em className=\"markdown-em\">\n                  <TextWrapper>{children}</TextWrapper>\n                </em>\n              ),\n              // Strikethrough\n              del: ({ children }: any) => (\n                <del className=\"markdown-del\">\n                  <TextWrapper>{children}</TextWrapper>\n                </del>\n              ),\n              // Link\n              a: ({ href, children, ...props }: any) => {\n                return (\n                  <a href={href} className=\"markdown-link\" {...props}>\n                    <TextWrapper>{children}</TextWrapper>\n                  </a>\n                );\n              },\n              pre: ({ children }: any) => <>{children}</>,\n              // Code blocks and inline code\n              code({ node, inline, className, children, ...props }: any) {\n                try {\n                  const match = /language-(\\w+)/.exec(className || \"\");\n                  const raw = Array.isArray(children)\n                    ? children.join(\"\")\n                    : children ?? \"\";\n                  const codeContent = String(raw).replace(/^\\n+|\\n+$/g, \"\");\n                  if (match && match[1]) {\n                    // Check if it's a Mermaid diagram\n                    if (match[1] === \"mermaid\") {\n                      if (!enableMultimodal) {\n                      return renderCodeFallback(codeContent);\n                      }\n                      return <Diagram code={codeContent} className=\"my-4\" showToggle={showDiagramToggle} />;\n                    }\n                    if (!inline) {\n                      return <CodeBlock codeContent={codeContent} language={match[1]} />;\n                    }\n                  }\n                } catch (error) {\n                  // Handle error silently\n                }\n                return (\n                  <code className=\"markdown-code\" {...props}>\n                    <TextWrapper>{children}</TextWrapper>\n                  </code>\n                );\n              },\n              // Image\n              img: ({ src, alt }: any) => (\n                <ImageResolver src={src} alt={alt} />\n              ),\n              // Video\n              video: ({ children, ...props }: any) => {\n                const directSrc = props?.src;\n                const childSource = React.Children.toArray(children)\n                  .map((child) =>\n                    React.isValidElement(child) ? child.props?.src : undefined\n                  )\n                  .find(Boolean);\n                const videoSrc = directSrc ?? childSource;\n                const caption =\n                  props?.[\"aria-label\"] ??\n                  props?.title ??\n                  props?.[\"data-caption\"] ??\n                  undefined;\n\n                const element = renderVideoElement({\n                  src: videoSrc,\n                  alt: caption,\n                  props,\n                });\n\n                return element ?? renderMediaFallback(undefined, caption);\n              },\n            }}\n          >\n            {processedContent}\n          </ReactMarkdown>\n        </MarkdownErrorBoundary>\n      </div>\n    </>\n  );\n};\n"
  },
  {
    "path": "frontend/components/ui/scrollArea.tsx",
    "content": "\"use client\";\n\nimport * as React from \"react\";\nimport * as ScrollAreaPrimitive from \"@radix-ui/react-scroll-area\";\n\nimport { cn } from \"@/lib/utils\";\n\nconst ScrollArea = React.forwardRef<\n  React.ElementRef<typeof ScrollAreaPrimitive.Root>,\n  React.ComponentPropsWithoutRef<typeof ScrollAreaPrimitive.Root>\n>(({ className, children, ...props }, ref) => (\n  <ScrollAreaPrimitive.Root\n    ref={ref}\n    className={cn(\"relative overflow-hidden\", className)}\n    {...props}\n  >\n    <ScrollAreaPrimitive.Viewport className=\"h-full w-full rounded-[inherit]\">\n      {children}\n    </ScrollAreaPrimitive.Viewport>\n    <ScrollBar />\n    <ScrollAreaPrimitive.Corner />\n  </ScrollAreaPrimitive.Root>\n));\nScrollArea.displayName = ScrollAreaPrimitive.Root.displayName;\n\n// StaticScrollArea that prevents auto-scrolling while using Radix UI\nconst StaticScrollArea = React.forwardRef<\n  React.ElementRef<typeof ScrollAreaPrimitive.Root>,\n  React.ComponentPropsWithoutRef<typeof ScrollAreaPrimitive.Root>\n>(({ className, children, ...props }, ref) => {\n  const [viewportElement, setViewportElement] =\n    React.useState<HTMLDivElement | null>(null);\n  const scrollPositionRef = React.useRef<number>(0);\n  const lastUserInteractionTimeRef = React.useRef<number>(0);\n  const lastClickTimeRef = React.useRef<number>(0);\n  const isRestoringRef = React.useRef<boolean>(false);\n\n  // Save current scroll position\n  const saveScrollPosition = React.useCallback(() => {\n    if (viewportElement && !isRestoringRef.current) {\n      scrollPositionRef.current = viewportElement.scrollTop;\n    }\n  }, [viewportElement]);\n\n  // Restore scroll position to saved value\n  const restoreScrollPosition = React.useCallback(() => {\n    if (viewportElement && !isRestoringRef.current) {\n      const targetPosition = scrollPositionRef.current;\n      const currentPosition = viewportElement.scrollTop;\n      if (currentPosition !== targetPosition) {\n        isRestoringRef.current = true;\n        viewportElement.scrollTop = targetPosition;\n        // Briefly mark as restoring to prevent triggering new scroll events\n        setTimeout(() => {\n          isRestoringRef.current = false;\n        }, 50);\n        return true;\n      }\n    }\n    return false;\n  }, [viewportElement]);\n\n  // Determine if scroll is user-initiated based on timing\n  const isUserInitiatedScroll = React.useCallback(() => {\n    const now = Date.now();\n    const timeSinceLastUserInteraction =\n      now - lastUserInteractionTimeRef.current;\n    const timeSinceLastClick = now - lastClickTimeRef.current;\n\n    // If within 500ms of user interaction, consider it user scrolling\n    if (timeSinceLastUserInteraction < 500) {\n      return true;\n    }\n\n    // If within 100ms of a click, likely programmatic scrolling\n    if (timeSinceLastClick < 100) {\n      return false;\n    }\n\n    return false;\n  }, []);\n\n  // Handle scroll events\n  const handleScroll = React.useCallback(\n    (e: Event) => {\n      if (isRestoringRef.current) {\n        return;\n      }\n\n      if (isUserInitiatedScroll()) {\n        saveScrollPosition();\n      } else {\n        e.preventDefault();\n        e.stopImmediatePropagation();\n        restoreScrollPosition();\n      }\n    },\n    [isUserInitiatedScroll, saveScrollPosition, restoreScrollPosition]\n  );\n\n  // Record user interaction timestamp\n  const recordUserInteraction = React.useCallback(() => {\n    lastUserInteractionTimeRef.current = Date.now();\n  }, []);\n\n  // Record click timestamp\n  const recordClick = React.useCallback(() => {\n    lastClickTimeRef.current = Date.now();\n  }, []);\n\n  // Listen for genuine user scroll interactions\n  React.useEffect(() => {\n    if (viewportElement) {\n      const handleWheel = () => recordUserInteraction();\n      const handleTouchStart = () => recordUserInteraction();\n      const handleKeyDown = (e: KeyboardEvent) => {\n        if (\n          [\n            \"ArrowUp\",\n            \"ArrowDown\",\n            \"PageUp\",\n            \"PageDown\",\n            \"Home\",\n            \"End\",\n          ].includes(e.key)\n        ) {\n          recordUserInteraction();\n        }\n      };\n\n      viewportElement.addEventListener(\"wheel\", handleWheel, { passive: true });\n      viewportElement.addEventListener(\"touchstart\", handleTouchStart, {\n        passive: true,\n      });\n      viewportElement.addEventListener(\"keydown\", handleKeyDown, {\n        passive: true,\n      });\n\n      return () => {\n        viewportElement.removeEventListener(\"wheel\", handleWheel);\n        viewportElement.removeEventListener(\"touchstart\", handleTouchStart);\n        viewportElement.removeEventListener(\"keydown\", handleKeyDown);\n      };\n    }\n  }, [viewportElement, recordUserInteraction]);\n\n  // Listen for click events that might trigger programmatic scrolling\n  React.useEffect(() => {\n    if (viewportElement) {\n      // Monitor document-wide clicks as they can happen anywhere\n      document.addEventListener(\"click\", recordClick, { capture: true });\n      document.addEventListener(\"mousedown\", recordClick, { capture: true });\n\n      return () => {\n        document.removeEventListener(\"click\", recordClick, { capture: true });\n        document.removeEventListener(\"mousedown\", recordClick, {\n          capture: true,\n        });\n      };\n    }\n  }, [viewportElement, recordClick]);\n\n  // Listen for scroll events with highest priority interception\n  React.useEffect(() => {\n    if (viewportElement) {\n      viewportElement.addEventListener(\"scroll\", handleScroll, {\n        passive: false,\n        capture: true,\n      });\n\n      return () => {\n        viewportElement.removeEventListener(\"scroll\", handleScroll, {\n          capture: true,\n        });\n      };\n    }\n  }, [viewportElement, handleScroll]);\n\n  // Set viewport element reference\n  const setViewportRef = React.useCallback((node: HTMLDivElement | null) => {\n    setViewportElement(node);\n    if (node) {\n      setTimeout(() => {\n        if (node) {\n          scrollPositionRef.current = node.scrollTop;\n        }\n      }, 0);\n    }\n  }, []);\n\n  // Restore position on component re-renders\n  React.useEffect(() => {\n    // Short delay after re-render to restore scroll position if not user-initiated\n    const timeoutId = setTimeout(() => {\n      if (!isUserInitiatedScroll()) {\n        restoreScrollPosition();\n      }\n    }, 10);\n\n    return () => clearTimeout(timeoutId);\n  }, [children, isUserInitiatedScroll, restoreScrollPosition]);\n\n  return (\n    <ScrollAreaPrimitive.Root\n      ref={ref}\n      className={cn(\"relative overflow-hidden\", className)}\n      {...props}\n    >\n      <ScrollAreaPrimitive.Viewport\n        ref={setViewportRef}\n        className=\"h-full w-full rounded-[inherit]\"\n        tabIndex={0}\n      >\n        {children}\n      </ScrollAreaPrimitive.Viewport>\n      <ScrollBar />\n      <ScrollAreaPrimitive.Corner />\n    </ScrollAreaPrimitive.Root>\n  );\n});\nStaticScrollArea.displayName = \"StaticScrollArea\";\n\nconst ScrollBar = React.forwardRef<\n  React.ElementRef<typeof ScrollAreaPrimitive.ScrollAreaScrollbar>,\n  React.ComponentPropsWithoutRef<typeof ScrollAreaPrimitive.ScrollAreaScrollbar>\n>(({ className, orientation = \"vertical\", ...props }, ref) => (\n  <ScrollAreaPrimitive.ScrollAreaScrollbar\n    ref={ref}\n    orientation={orientation}\n    className={cn(\n      \"flex touch-none select-none transition-colors\",\n      orientation === \"vertical\" &&\n        \"h-full w-2.5 border-l border-l-transparent p-[1px]\",\n      orientation === \"horizontal\" &&\n        \"h-2.5 flex-col border-t border-t-transparent p-[1px]\",\n      className\n    )}\n    {...props}\n  >\n    <ScrollAreaPrimitive.ScrollAreaThumb className=\"relative flex-1 rounded-full bg-gray-300 dark:bg-gray-700 transition-colors hover:bg-gray-400 dark:hover:bg-gray-600\" />\n  </ScrollAreaPrimitive.ScrollAreaScrollbar>\n));\nScrollBar.displayName = ScrollAreaPrimitive.ScrollAreaScrollbar.displayName;\n\nexport { ScrollArea, StaticScrollArea, ScrollBar };\n"
  },
  {
    "path": "frontend/components/ui/statusBadge.tsx",
    "content": "import React from \"react\";\n\ninterface StatusBadgeProps {\n  type: \"success\" | \"warning\" | \"error\" | \"info\" | \"default\";\n  text: string;\n  icon?: React.ReactNode;\n  size?: \"small\" | \"medium\" | \"large\";\n}\n\nexport const StatusBadge: React.FC<StatusBadgeProps> = ({\n  type,\n  text,\n  icon,\n  size = \"small\",\n}) => {\n  // Get styles based on type\n  const getStyleByType = (): React.CSSProperties => {\n    switch (type) {\n      case \"success\":\n        return {\n          color: \"#52c41a\",\n          borderColor: \"#b7eb8f\",\n          backgroundColor: \"#f6ffed\",\n        };\n      case \"warning\":\n        return {\n          color: \"#faad14\",\n          borderColor: \"#ffe58f\",\n          backgroundColor: \"#fffbe6\",\n        };\n      case \"error\":\n        return {\n          color: \"#f5222d\",\n          borderColor: \"#ffa39e\",\n          backgroundColor: \"#fff1f0\",\n        };\n      case \"info\":\n        return {\n          color: \"#1890ff\",\n          borderColor: \"#91d5ff\",\n          backgroundColor: \"#e6f7ff\",\n        };\n      default:\n        return {\n          color: \"#d9d9d9\",\n          borderColor: \"#d9d9d9\",\n          backgroundColor: \"#fafafa\",\n        };\n    }\n  };\n\n  // Get size styles based on size\n  const getSizeStyle = (): React.CSSProperties => {\n    switch (size) {\n      case \"large\":\n        return { fontSize: \"14px\", padding: \"4px 8px\" };\n      case \"medium\":\n        return { fontSize: \"12px\", padding: \"2px 6px\" };\n      case \"small\":\n      default:\n        return { fontSize: \"10px\", padding: \"1px 5px\" };\n    }\n  };\n\n  return (\n    <span\n      className=\"inline-flex items-center rounded-full\"\n      style={{\n        ...getStyleByType(),\n        ...getSizeStyle(),\n        fontWeight: 500,\n        lineHeight: 1.4,\n      }}\n    >\n      {icon && <span className=\"mr-1\">{icon}</span>}\n      {text}\n    </span>\n  );\n};\n\nexport default StatusBadge;\n"
  },
  {
    "path": "frontend/components/ui/textarea.tsx",
    "content": "import * as React from \"react\";\n\nimport { cn } from \"@/lib/utils\";\n\nconst Textarea = React.forwardRef<\n  HTMLTextAreaElement,\n  React.ComponentProps<\"textarea\">\n>(({ className, ...props }, ref) => {\n  return (\n    <textarea\n      className={cn(\n        \"flex min-h-[80px] w-full rounded-md border border-input bg-background px-3 py-2 text-base ring-offset-background placeholder:text-muted-foreground focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 disabled:cursor-not-allowed disabled:opacity-50 md:text-sm\",\n        className\n      )}\n      ref={ref}\n      {...props}\n    />\n  );\n});\nTextarea.displayName = \"Textarea\";\n\nexport { Textarea };\n"
  },
  {
    "path": "frontend/components/ui/tooltip.tsx",
    "content": "\"use client\";\n\nimport * as React from \"react\";\nimport { Tooltip as AntdTooltip, ConfigProvider } from \"antd\";\nimport type { TooltipProps as AntdTooltipProps } from \"antd\";\n\nimport { cn } from \"@/lib/utils\";\n\nexport const TooltipProvider: React.FC<{\n  children: React.ReactNode;\n}> = ({ children }) => {\n  return (\n    <ConfigProvider\n      theme={{\n        components: {\n          Tooltip: {\n            zIndexPopup: 1050,\n          },\n        },\n      }}\n    >\n      {children}\n    </ConfigProvider>\n  );\n};\n\n// Tooltip component - wrapper around antd Tooltip with default smooth transition and no arrow\nexport const Tooltip: React.FC<AntdTooltipProps> = ({\n  children,\n  arrow = false,\n  mouseEnterDelay = 0.1,\n  mouseLeaveDelay = 0.1,\n  className,\n  ...props\n}) => {\n  // Merge provided classNames with our default root class to replace deprecated overlayClassName\n  const mergedClassNames = {\n    ...(props.classNames || {}),\n    root: cn(\"ant-tooltip-no-arrow\", (props.classNames as any)?.root),\n  };\n  return (\n    <AntdTooltip\n      arrow={arrow}\n      mouseEnterDelay={mouseEnterDelay}\n      mouseLeaveDelay={mouseLeaveDelay}\n      classNames={mergedClassNames}\n      className={className}\n      {...props}\n    >\n      {children}\n    </AntdTooltip>\n  );\n};\n\n// Re-export for convenience\nexport { Tooltip as default };\n"
  },
  {
    "path": "frontend/components.json",
    "content": "{\n  \"$schema\": \"https://ui.shadcn.com/schema.json\",\n  \"style\": \"default\",\n  \"rsc\": true,\n  \"tsx\": true,\n  \"tailwind\": {\n    \"config\": \"tailwind.config.ts\",\n    \"css\": \"styles/globals.css\",\n    \"baseColor\": \"neutral\",\n    \"cssVariables\": true,\n    \"prefix\": \"\"\n  },\n  \"aliases\": {\n    \"components\": \"@/components\",\n    \"utils\": \"@/lib/utils\",\n    \"ui\": \"@/components/ui\",\n    \"lib\": \"@/lib\",\n    \"hooks\": \"@/hooks\"\n  },\n  \"iconLibrary\": \"lucide\"\n}"
  },
  {
    "path": "frontend/const/agentConfig.ts",
    "content": "// ========== Agent Configuration Constants ==========\n\nimport type { LayoutConfig } from \"../types/agentConfig\";\n\n// Agent call relationship graph theme/colors\nexport const AGENT_CALL_RELATIONSHIP_THEME_CONFIG = {\n  colors: {\n    node: {\n      main: \"#2c3e50\",\n      levels: {\n        1: \"#3498db\",\n        2: \"#9b59b6\",\n        3: \"#e74c3c\",\n        4: \"#f39c12\",\n      },\n      tools: {\n        1: \"#e67e22\",\n        2: \"#1abc9c\",\n        3: \"#34495e\",\n        4: \"#f1c40f\",\n      },\n    },\n  },\n} as const;\n\nexport const AGENT_CALL_RELATIONSHIP_NODE_TYPES = {\n  MAIN: \"main\",\n  SUB: \"sub\",\n  TOOL: \"tool\",\n} as const;\n\nexport const AGENT_CALL_RELATIONSHIP_ORIENTATION = {\n  VERTICAL: \"vertical\",\n  HORIZONTAL: \"horizontal\",\n} as const;\n\nexport type AgentCallRelationshipOrientation =\n  (typeof AGENT_CALL_RELATIONSHIP_ORIENTATION)[keyof typeof AGENT_CALL_RELATIONSHIP_ORIENTATION];\n\nexport const ROLE_ASSISTANT = \"assistant\" as const;\n\nexport const TOOL_SOURCE_TYPES = {\n  MCP: \"mcp\",\n  LOCAL: \"local\",\n  LANGCHAIN: \"langchain\",\n  OTHER: \"other\",\n} as const;\n\nexport const GENERATE_PROMPT_STREAM_TYPES = {\n  DUTY: \"duty\",\n  CONSTRAINT: \"constraint\",\n  FEW_SHOTS: \"few_shots\",\n  AGENT_VAR_NAME: \"agent_var_name\",\n  AGENT_DESCRIPTION: \"agent_description\",\n  AGENT_DISPLAY_NAME: \"agent_display_name\",\n} as const;\n\nexport const TOOL_PARAM_TYPES = {\n  STRING: \"string\",\n  NUMBER: \"number\",\n  BOOLEAN: \"boolean\",\n  ARRAY: \"array\",\n  OBJECT: \"object\",\n} as const;\n\nexport const NAME_CHECK_STATUS = {\n  AVAILABLE: \"available\",\n  EXISTS_IN_TENANT: \"exists_in_tenant\",\n  EXISTS_IN_OTHER_TENANT: \"exists_in_other_tenant\",\n  CHECK_FAILED: \"check_failed\",\n} as const;\n\nexport type NameCheckStatus =\n  (typeof NAME_CHECK_STATUS)[keyof typeof NAME_CHECK_STATUS];\n\nexport type ToolSourceType =\n  (typeof TOOL_SOURCE_TYPES)[keyof typeof TOOL_SOURCE_TYPES];\n\nexport type GeneratePromptStreamType =\n  (typeof GENERATE_PROMPT_STREAM_TYPES)[keyof typeof GENERATE_PROMPT_STREAM_TYPES];\n\n// Agent call relationship node default size\nexport const AGENT_CALL_RELATIONSHIP_NODE_SIZE = {\n  width: 140,\n  height: 60,\n} as const;\n\n// Default layout configuration for Agent Setup pages\nexport const AGENT_SETUP_LAYOUT_DEFAULT: LayoutConfig = {\n  CARD_HEADER_PADDING: \"10px 24px\",\n  CARD_BODY_PADDING: \"12px 20px\",\n  DRAWER_WIDTH: \"40%\",\n};\n\n// Tool parameter enum configurations (defined frontend-side for consistent rendering)\nexport const TOOL_PARAM_OPTIONS = {\n  // Knowledge base search tool\n  knowledge_base_search: {\n    search_mode: [\"hybrid\", \"accurate\", \"semantic\"],\n  },\n  // Dify search tool\n  dify_search: {\n    search_method: [\n      \"keyword_search\",\n      \"semantic_search\",\n      \"full_text_search\",\n      \"hybrid_search\",\n    ],\n  },\n  // DataMate search tool\n  datamate_search: {\n    // No enum parameters currently defined\n  },\n} as const;\n\n// Get options for a specific tool and parameter\nexport function getToolParamOptions(\n  toolName: string,\n  paramName: string\n): string[] | undefined {\n  const toolOptions =\n    TOOL_PARAM_OPTIONS[toolName as keyof typeof TOOL_PARAM_OPTIONS];\n  if (!toolOptions) return undefined;\n  return toolOptions[paramName as keyof typeof toolOptions] as\n    | string[]\n    | undefined;\n}\n"
  },
  {
    "path": "frontend/const/auth.ts",
    "content": "// Status codes for authentication\nexport enum USER_ROLES {\n  SU = \"SU\",\n  ADMIN = \"ADMIN\",\n  DEV = \"DEV\",\n  USER = \"USER\",\n  SPEED = \"SPEED\",\n}\n\nexport const STATUS_CODES = {\n  SUCCESS: 200,\n\n  UNAUTHORIZED_HTTP: 401,\n  REQUEST_ENTITY_TOO_LARGE: 413,\n\n  INVALID_CREDENTIALS: 1002,\n  TOKEN_EXPIRED: 1003,\n  UNAUTHORIZED: 1004,\n  INVALID_INPUT: 1006,\n  AUTH_SERVICE_UNAVAILABLE: 1007,\n\n  SERVER_ERROR: 1005,\n};\n\n// Local storage keys (user info only — tokens are in HttpOnly cookies)\nexport const STORAGE_KEYS = {\n  SESSION: \"session\",\n  USER_INFO: \"user_info\",\n};\n\n// Cookie names managed by server.js BFF layer\nexport const COOKIE_NAMES = {\n  ACCESS_TOKEN: \"nexent_access_token\",\n  REFRESH_TOKEN: \"nexent_refresh_token\",\n  EXPIRES_AT: \"nexent_token_expires_at\",\n} as const;\n\n// Type-safe authentication events (used with authEvents emitter)\nexport const AUTH_EVENTS = {\n  LOGIN_SUCCESS: \"auth:login-success\",\n  REGISTER_SUCCESS: \"auth:register-success\",\n  LOGOUT: \"auth:logout\",\n  SESSION_EXPIRED: \"auth:session-expired\",  // Deprecated: this is an authorization event; prefer AUTHZ_EVENTS.PERMISSION_DENIED.\n  TOKEN_REFRESHED: \"auth:token-refreshed\",\n  SERVICE_UNAVAILABLE: \"auth:service-unavailable\",\n  BACK_TO_HOME: \"nav:back-to-home\",\n} as const;\n\n// Type-safe authorization events (used with authzEvents emitter)\nexport const AUTHZ_EVENTS = {\n  PERMISSION_DENIED: \"authz:permission-denied\",\n  PERMISSIONS_READY: \"authz:permissions-ready\",\n  PERMISSIONS_UPDATED: \"authz:permissions-updated\",\n} as const;\n\n"
  },
  {
    "path": "frontend/const/avatar.ts",
    "content": "// 预设的颜色选项\nexport const colorOptions = [\n    \"#2689cb\", // Primary Blue\n    \"#1d56d0\", // Secondary Blue\n    \"#1f9351\", // Green\n    \"#a62719\", // Red\n    \"#c3c01a\", // Yellow\n    \"#7672ce\", // Purple\n    \"#aeb6bf\", // Gray\n    \"#273746\", // Black\n  ] as const;\n  \n  // \n  export const presetIcons = [\n    { icon: \"search\", key: \"search\" as const },\n    { icon: \"keyboard\", key: \"keyboard\" as const },\n    { icon: \"house-door\", key: \"houseDoor\" as const },\n    { icon: \"lightbulb\", key: \"lightbulb\" as const },\n    { icon: \"book\", key: \"book\" as const },\n    { icon: \"envelope\", key: \"envelope\" as const },\n    { icon: \"pen\", key: \"pen\" as const },\n    { icon: \"globe2\", key: \"globe2\" as const },\n    { icon: \"mortarboard\", key: \"mortarboard\" as const },\n    { icon: \"display\", key: \"display\" as const },\n  ] as const;"
  },
  {
    "path": "frontend/const/chatConfig.ts",
    "content": "// Chat related configuration\nexport const chatConfig = {\n  // Supported text file MIME types\n  textTypes: [\n    \"text/plain\",\n    \"text/html\",\n    \"text/css\",\n    \"text/javascript\",\n    \"application/json\",\n    \"application/xml\",\n    \"text/markdown\",\n  ],\n\n  // Supported text file extensions\n  textExtensions: [\n    \"txt\",\n    \"html\",\n    \"htm\",\n    \"css\",\n    \"js\",\n    \"ts\",\n    \"jsx\",\n    \"tsx\",\n    \"json\",\n    \"xml\",\n    \"md\",\n    \"markdown\",\n    \"csv\",\n  ],\n\n  // File limit configuration\n  maxFileCount: 50,\n  maxFileSize: 10 * 1024 * 1024, // Maximum 10MB per file\n  \n  // Supported image file extensions\n  imageExtensions: [\"jpg\", \"jpeg\", \"png\", \"gif\", \"webp\", \"svg\", \"bmp\"],\n  \n  // Supported document file extensions\n  documentExtensions: [\"pdf\", \"doc\", \"docx\", \"xls\", \"xlsx\", \"ppt\", \"pptx\"],\n  \n  // Supported text document extensions\n  supportedTextExtensions: [\"md\", \"markdown\", \"txt\"],\n\n  // File icon mapping configuration\n  fileIcons: {\n    // PDF files\n    pdf: [\"pdf\"],\n    \n    // Word documents\n    word: [\"doc\", \"docx\"],\n    \n    // Plain text files\n    text: [\"txt\"],\n    \n    // Markdown files\n    markdown: [\"md\"],\n    \n    // Excel spreadsheet files\n    excel: [\"xls\", \"xlsx\", \"csv\"],\n    \n    // PowerPoint presentation files\n    powerpoint: [\"ppt\", \"pptx\"],\n    \n    // HTML files\n    html: [\"html\", \"htm\"],\n    \n    // Code files\n    code: [\"css\", \"js\", \"ts\", \"jsx\", \"tsx\", \"php\", \"py\", \"java\", \"c\", \"cpp\", \"cs\"],\n    \n      // JSON files\n    json: [\"json\"],\n\n    // Compressed file\n    compressed: [\"zip\", \"rar\", \"7z\", \"tar\", \"gz\"],\n},\n\n// File preview type constants\nfilePreviewTypes: {\n  image: \"image\" as const,\n  file: \"file\" as const,\n},\n\n// Message type constants\nmessageTypes: {\n  // Stream response message types\n  MODEL_OUTPUT: \"model_output\" as const,\n  MODEL_OUTPUT_THINKING: \"model_output_thinking\" as const,\n  MODEL_OUTPUT_DEEP_THINKING: \"model_output_deep_thinking\" as const,\n  MODEL_OUTPUT_CODE: \"model_output_code\" as const,\n  PARSING: \"parsing\" as const,\n  EXECUTION: \"execution\" as const,\n  EXECUTING: \"executing\" as const,\n  AGENT_NEW_RUN: \"agent_new_run\" as const,\n  GENERATING_CODE: \"generating_code\" as const,\n  SEARCH_CONTENT: \"search_content\" as const,\n  CARD: \"card\" as const,\n  MEMORY_SEARCH: \"memory_search\" as const,\n  PICTURE_WEB: \"picture_web\" as const,\n  FINAL_ANSWER: \"final_answer\" as const,\n  PARSE: \"parse\" as const,\n  TOOL: \"tool\" as const,\n  EXECUTION_LOGS: \"execution_logs\" as const,\n  ERROR: \"error\" as const,\n  STEP_COUNT: \"step_count\" as const,\n  TOKEN_COUNT: \"token_count\" as const,\n  SEARCH_CONTENT_PLACEHOLDER: \"search_content_placeholder\" as const,\n  VIRTUAL: \"virtual\" as const,\n  PREPROCESS: \"preprocess\" as const,\n},\n\n// Content type constants for last content type tracking\ncontentTypes: {\n  MODEL_OUTPUT: \"model_output\" as const,\n  MODEL_OUTPUT_CODE: \"model_output_code\" as const,\n  PARSING: \"parsing\" as const,\n  EXECUTION: \"execution\" as const,\n  AGENT_NEW_RUN: \"agent_new_run\" as const,\n  GENERATING_CODE: \"generating_code\" as const,\n  SEARCH_CONTENT: \"search_content\" as const,\n  CARD: \"card\" as const,\n  MEMORY_SEARCH: \"memory_search\" as const,\n  PREPROCESS: \"preprocess\" as const,\n},\n\n// TTS status constants\nttsStatus: {\n  IDLE: \"idle\" as const,\n  GENERATING: \"generating\" as const,\n  PLAYING: \"playing\" as const,\n  ERROR: \"error\" as const,\n},\n\n// Opinion constants\nopinion: {\n  POSITIVE: \"Y\" as const,\n  NEGATIVE: \"N\" as const,\n},\n};\n\n// Type definitions for better type safety\nexport type Opinion = typeof chatConfig.opinion[keyof typeof chatConfig.opinion] | null;\nexport type MessageType = typeof chatConfig.messageTypes[keyof typeof chatConfig.messageTypes];\nexport type ContentType = typeof chatConfig.contentTypes[keyof typeof chatConfig.contentTypes];\n\nexport const MESSAGE_ROLES = {\n  USER: \"user\" as const,\n  ASSISTANT: \"assistant\" as const,\n  SYSTEM: \"system\" as const,\n} as const;"
  },
  {
    "path": "frontend/const/constants.ts",
    "content": "// TODO: Move to language.ts\nexport const languageOptions = [\n  { label: \"简体中文\", value: \"zh\" },\n  { label: \"English\", value: \"en\" },\n];\n\nexport const TOKEN_REFRESH_CD = 1 * 60 * 1000;\n// If the remaining lifetime of the access token is below this threshold,\n// a refresh will be attempted on user activity (sliding expiration).\nexport const TOKEN_REFRESH_BEFORE_EXPIRY_MS = 5 * 60 * 1000;\n// Throttle interval for activity-driven refresh checks\nexport const MIN_ACTIVITY_CHECK_INTERVAL_MS = 30 * 1000;\n\nexport const isProduction = process.env.NODE_ENV === \"production\";\n\nexport const APP_VERSION = \"v1.0.0\";\n\n// Default parameter type constant\nexport const DEFAULT_TYPE = \"string\";\n"
  },
  {
    "path": "frontend/const/errorCode.ts",
    "content": "/**\n * Error code definitions for the frontend.\n *\n * Format: XXYYZZ (6 digits string) - Must match backend/consts/error_code.py\n * - XX: Module code (01-99)\n * - YY: Sub module category (01-99)\n * - ZZ: Sequence in category (01-99)\n *\n * Module Numbers:\n * - 00: Common / 公共\n * - 01: Chat / 开始问答\n * - 02: QuickConfig / 快速配置\n * - 03: AgentSpace / 智能体空间\n * - 04: AgentMarket / 智能体市场\n * - 05: AgentDev / 智能体开发\n * - 06: Knowledge / 知识库\n * - 07: MCPTools / MCP 工具\n * - 08: MonitorOps / 监控与运维\n * - 09: Model / 模型管理\n * - 10: Memory / 记忆管理\n * - 11: Profile / 个人信息\n * - 12: TenantResource / 租户资源\n * - 13: External / 外部服务\n * - 14: Northbound / 北向接口\n * - 15: DataProcess / 数据处理\n * - 99: System / 系统级\n */\n\nexport const ErrorCode = {\n  // ==================== 00 Common / 公共 ====================\n  // 01 - Parameter & Validation\n  VALIDATION_ERROR: \"000101\",\n  PARAMETER_INVALID: \"000102\",\n  MISSING_REQUIRED_FIELD: \"000103\",\n\n  // 02 - Auth & Permission\n  UNAUTHORIZED: \"000201\",\n  FORBIDDEN: \"000202\",\n  TOKEN_EXPIRED: \"000203\",\n  TOKEN_INVALID: \"000204\",\n\n  // 03 - External Service\n  EXTERNAL_SERVICE_ERROR: \"000301\",\n  RATE_LIMIT_EXCEEDED: \"000302\",\n\n  // 04 - File\n  FILE_NOT_FOUND: \"000401\",\n  FILE_UPLOAD_FAILED: \"000402\",\n  FILE_TOO_LARGE: \"000403\",\n  FILE_TYPE_NOT_ALLOWED: \"000404\",\n  FILE_PREPROCESS_FAILED: \"000405\",\n\n  // 05 - Resource\n  RESOURCE_NOT_FOUND: \"000501\",\n  RESOURCE_ALREADY_EXISTS: \"000502\",\n  RESOURCE_DISABLED: \"000503\",\n\n  // ==================== 01 Chat / 开始问答 ====================\n  // 01 - Conversation\n  CONVERSATION_NOT_FOUND: \"010101\",\n  MESSAGE_NOT_FOUND: \"010102\",\n  CONVERSATION_SAVE_FAILED: \"010103\",\n  CONVERSATION_TITLE_GENERATION_FAILED: \"010104\",\n\n  // ==================== 02 QuickConfig / 快速配置 ====================\n  // 01 - Configuration\n  QUICK_CONFIG_INVALID: \"020101\",\n  QUICK_CONFIG_SYNC_FAILED: \"020102\",\n\n  // ==================== 03 AgentSpace / 智能体空间 ====================\n  // 01 - Agent\n  AGENT_NOT_FOUND: \"030101\",\n  AGENT_DISABLED: \"030102\",\n  AGENT_RUN_FAILED: \"030103\",\n  AGENT_NAME_DUPLICATE: \"030104\",\n  AGENT_VERSION_NOT_FOUND: \"030105\",\n\n  // ==================== 04 AgentMarket / 智能体市场 ====================\n  // 01 - Agent\n  AGENTMARKET_AGENT_NOT_FOUND: \"040101\",\n\n  // ==================== 05 AgentDev / 智能体开发 ====================\n  // 01 - Configuration\n  AGENTDEV_CONFIG_INVALID: \"050101\",\n  AGENTDEV_PROMPT_INVALID: \"050102\",\n\n  // ==================== 06 Knowledge / 知识库 ====================\n  // 01 - Knowledge Base\n  KNOWLEDGE_NOT_FOUND: \"060101\",\n  KNOWLEDGE_UPLOAD_FAILED: \"060102\",\n  KNOWLEDGE_SYNC_FAILED: \"060103\",\n  INDEX_NOT_FOUND: \"060104\",\n  KNOWLEDGE_SEARCH_FAILED: \"060105\",\n\n  // ==================== 07 MCPTools / MCP 工具 ====================\n  // 01 - Tool\n  TOOL_NOT_FOUND: \"070101\",\n  TOOL_EXECUTION_FAILED: \"070102\",\n  TOOL_CONFIG_INVALID: \"070103\",\n\n  // 02 - Connection\n  MCP_CONNECTION_FAILED: \"070201\",\n  MCP_CONTAINER_ERROR: \"070202\",\n\n  // 03 - Configuration\n  MCP_NAME_ILLEGAL: \"070301\",\n\n  // ==================== 08 MonitorOps / 监控与运维 ====================\n  // 01 - Monitoring\n  MONITOROPS_METRIC_QUERY_FAILED: \"080101\",\n\n  // 02 - Alert\n  MONITOROPS_ALERT_CONFIG_INVALID: \"080201\",\n\n  // ==================== 09 Model / 模型管理 ====================\n  // 01 - Model\n  MODEL_NOT_FOUND: \"090101\",\n  MODEL_CONFIG_INVALID: \"090102\",\n  MODEL_HEALTH_CHECK_FAILED: \"090103\",\n  MODEL_PROVIDER_ERROR: \"090104\",\n  MODEL_PROMPT_GENERATION_FAILED: \"090105\",\n  // 02 - Model API errors\n  MODEL_API_KEY_INVALID: \"090201\",\n  MODEL_API_KEY_NO_PERMISSION: \"090202\",\n  MODEL_RATE_LIMIT_EXCEEDED: \"090203\",\n  MODEL_SERVICE_UNAVAILABLE: \"090204\",\n  MODEL_CONNECTION_ERROR: \"090205\",\n\n  // ==================== 10 Memory / 记忆管理 ====================\n  // 01 - Memory\n  MEMORY_NOT_FOUND: \"100101\",\n  MEMORY_PREPARATION_FAILED: \"100102\",\n  MEMORY_CONFIG_INVALID: \"100103\",\n\n  // ==================== 11 Profile / 个人信息 ====================\n  // 01 - User\n  USER_NOT_FOUND: \"110101\",\n  USER_UPDATE_FAILED: \"110102\",\n  USER_ALREADY_EXISTS: \"110103\",\n  INVALID_CREDENTIALS: \"110104\",\n\n  // ==================== 12 TenantResource / 租户资源 ====================\n  // 01 - Tenant\n  TENANT_NOT_FOUND: \"120101\",\n  TENANT_DISABLED: \"120102\",\n  TENANT_CONFIG_ERROR: \"120103\",\n  TENANT_RESOURCE_EXCEEDED: \"120104\",\n\n  // ==================== 13 External / 外部服务 ====================\n  // 01 - DataMate\n  DATAMATE_CONNECTION_FAILED: \"130101\",\n\n  // 02 - Dify\n  DIFY_SERVICE_ERROR: \"130201\",\n  DIFY_CONFIG_INVALID: \"130202\",\n  DIFY_CONNECTION_ERROR: \"130203\",\n  DIFY_AUTH_ERROR: \"130204\",\n  DIFY_RATE_LIMIT: \"130205\",\n  DIFY_RESPONSE_ERROR: \"130206\",\n\n  // 03 - ME Service\n  ME_CONNECTION_FAILED: \"130301\",\n\n  // ==================== 14 Northbound / 北向接口 ====================\n  // 01 - Request\n  NORTHBOUND_REQUEST_FAILED: \"140101\",\n\n  // 02 - Configuration\n  NORTHBOUND_CONFIG_INVALID: \"140201\",\n\n  // ==================== 15 DataProcess / 数据处理 ====================\n  // 01 - Task\n  DATA_PROCESS_FAILED: \"150101\",\n  DATA_PARSE_FAILED: \"150102\",\n\n  // ==================== 99 System / 系统级 ====================\n  // 01 - System Errors\n  UNKNOWN_ERROR: \"990101\",\n  SERVICE_UNAVAILABLE: \"990102\",\n  DATABASE_ERROR: \"990103\",\n  TIMEOUT: \"990104\",\n  INTERNAL_ERROR: \"990105\",\n\n  // 02 - Config\n  CONFIG_NOT_FOUND: \"990201\",\n  CONFIG_UPDATE_FAILED: \"990202\",\n\n  // ==================== Success Code ====================\n  SUCCESS: \"0\",\n} as const;\n\nexport type ErrorCodeType = typeof ErrorCode[keyof typeof ErrorCode];\n\n/**\n * Check if an error code represents a success.\n */\nexport const isSuccess = (code: string | number): boolean => {\n  return code === ErrorCode.SUCCESS || code === 0;\n};\n\n/**\n * Check if an error code represents an authentication error.\n */\nexport const isAuthError = (code: string | number): boolean => {\n  const codeStr = String(code);\n  return codeStr >= \"000201\" && codeStr < \"000300\";\n};\n\n/**\n * Check if an error code represents a session expiration.\n */\nexport const isSessionExpired = (code: string | number): boolean => {\n  return code === ErrorCode.TOKEN_EXPIRED || code === ErrorCode.TOKEN_INVALID;\n};\n"
  },
  {
    "path": "frontend/const/errorMessage.ts",
    "content": "/**\n * Error message utility functions.\n *\n * This module provides functions to get error messages by error code.\n * For i18n support, use the getI18nErrorMessage function which reads from translation files.\n */\n\nimport { ErrorCode } from \"./errorCode\";\n\n/**\n * Default error messages (English).\n * These are fallback messages when i18n is not available.\n * Must match backend/consts/error_message.py\n */\nexport const DEFAULT_ERROR_MESSAGES: Record<string, string> = {\n  // ==================== 00 Common / 公共 ====================\n  // 01 - Parameter & Validation\n  [ErrorCode.VALIDATION_ERROR]: \"Validation error.\",\n  [ErrorCode.PARAMETER_INVALID]: \"Invalid parameter.\",\n  [ErrorCode.MISSING_REQUIRED_FIELD]: \"Required field is missing.\",\n\n  // 02 - Auth & Permission\n  [ErrorCode.UNAUTHORIZED]: \"You are not authorized to perform this action.\",\n  [ErrorCode.FORBIDDEN]: \"Access forbidden.\",\n  [ErrorCode.TOKEN_EXPIRED]: \"Your session has expired. Please login again.\",\n  [ErrorCode.TOKEN_INVALID]: \"Invalid token. Please login again.\",\n\n  // 03 - External Service\n  [ErrorCode.EXTERNAL_SERVICE_ERROR]: \"External service error.\",\n  [ErrorCode.RATE_LIMIT_EXCEEDED]: \"Too many requests. Please try again later.\",\n\n  // 04 - File\n  [ErrorCode.FILE_NOT_FOUND]: \"File not found.\",\n  [ErrorCode.FILE_UPLOAD_FAILED]: \"Failed to upload file.\",\n  [ErrorCode.FILE_TOO_LARGE]: \"File size exceeds limit.\",\n  [ErrorCode.FILE_TYPE_NOT_ALLOWED]: \"File type not allowed.\",\n  [ErrorCode.FILE_PREPROCESS_FAILED]: \"File preprocessing failed.\",\n\n  // 05 - Resource\n  [ErrorCode.RESOURCE_NOT_FOUND]: \"Resource not found.\",\n  [ErrorCode.RESOURCE_ALREADY_EXISTS]: \"Resource already exists.\",\n  [ErrorCode.RESOURCE_DISABLED]: \"Resource is disabled.\",\n\n  // ==================== 01 Chat / 开始问答 ====================\n  // 01 - Conversation\n  [ErrorCode.CONVERSATION_NOT_FOUND]: \"Conversation not found.\",\n  [ErrorCode.MESSAGE_NOT_FOUND]: \"Message not found.\",\n  [ErrorCode.CONVERSATION_SAVE_FAILED]: \"Failed to save conversation.\",\n  [ErrorCode.CONVERSATION_TITLE_GENERATION_FAILED]:\n    \"Failed to generate conversation title.\",\n\n  // ==================== 02 QuickConfig / 快速配置 ====================\n  // 01 - Configuration\n  [ErrorCode.QUICK_CONFIG_INVALID]: \"Invalid configuration.\",\n  [ErrorCode.QUICK_CONFIG_SYNC_FAILED]: \"Sync configuration failed.\",\n\n  // ==================== 03 AgentSpace / 智能体空间 ====================\n  // 01 - Agent\n  [ErrorCode.AGENT_NOT_FOUND]: \"Agent not found.\",\n  [ErrorCode.AGENT_DISABLED]: \"Agent is disabled.\",\n  [ErrorCode.AGENT_RUN_FAILED]: \"Failed to run agent. Please try again later.\",\n  [ErrorCode.AGENT_NAME_DUPLICATE]: \"Agent name already exists.\",\n  [ErrorCode.AGENT_VERSION_NOT_FOUND]: \"Agent version not found.\",\n\n  // ==================== 04 AgentMarket / 智能体市场 ====================\n  // 01 - Agent\n  [ErrorCode.AGENTMARKET_AGENT_NOT_FOUND]: \"Agent not found in market.\",\n\n  // ==================== 05 AgentDev / 智能体开发 ====================\n  // 01 - Configuration\n  [ErrorCode.AGENTDEV_CONFIG_INVALID]: \"Invalid agent configuration.\",\n  [ErrorCode.AGENTDEV_PROMPT_INVALID]: \"Invalid prompt.\",\n\n  // ==================== 06 Knowledge / 知识库 ====================\n  // 01 - Knowledge Base\n  [ErrorCode.KNOWLEDGE_NOT_FOUND]: \"Knowledge base not found.\",\n  [ErrorCode.KNOWLEDGE_UPLOAD_FAILED]: \"Failed to upload knowledge.\",\n  [ErrorCode.KNOWLEDGE_SYNC_FAILED]: \"Failed to sync knowledge base.\",\n  [ErrorCode.INDEX_NOT_FOUND]: \"Search index not found.\",\n  [ErrorCode.KNOWLEDGE_SEARCH_FAILED]: \"Knowledge search failed.\",\n\n  // ==================== 07 MCPTools / MCP 工具 ====================\n  // 01 - Tool\n  [ErrorCode.TOOL_NOT_FOUND]: \"Tool not found.\",\n  [ErrorCode.TOOL_EXECUTION_FAILED]: \"Tool execution failed.\",\n  [ErrorCode.TOOL_CONFIG_INVALID]: \"Tool configuration is invalid.\",\n\n  // 02 - Connection\n  [ErrorCode.MCP_CONNECTION_FAILED]: \"Failed to connect to MCP service.\",\n  [ErrorCode.MCP_CONTAINER_ERROR]: \"MCP container operation failed.\",\n\n  // 03 - Configuration\n  [ErrorCode.MCP_NAME_ILLEGAL]: \"MCP name contains invalid characters.\",\n\n  // ==================== 08 MonitorOps / 监控与运维 ====================\n  // 01 - Monitoring\n  [ErrorCode.MONITOROPS_METRIC_QUERY_FAILED]: \"Metric query failed.\",\n\n  // 02 - Alert\n  [ErrorCode.MONITOROPS_ALERT_CONFIG_INVALID]: \"Invalid alert configuration.\",\n\n  // ==================== 09 Model / 模型管理 ====================\n  // 01 - Model\n  [ErrorCode.MODEL_NOT_FOUND]: \"Model not found.\",\n  [ErrorCode.MODEL_CONFIG_INVALID]: \"Model configuration is invalid.\",\n  [ErrorCode.MODEL_HEALTH_CHECK_FAILED]: \"Model health check failed.\",\n  [ErrorCode.MODEL_PROVIDER_ERROR]: \"Model provider error.\",\n  [ErrorCode.MODEL_PROMPT_GENERATION_FAILED]:\n    \"Model is unavailable. Please check the model status and try again.\",\n  // 02 - Model API errors\n  [ErrorCode.MODEL_API_KEY_INVALID]:\n    \"Model API key is invalid or expired. Please check your API key configuration.\",\n  [ErrorCode.MODEL_API_KEY_NO_PERMISSION]:\n    \"Model API key does not have permission. Please check your API key permissions.\",\n  [ErrorCode.MODEL_RATE_LIMIT_EXCEEDED]:\n    \"Rate limit exceeded. Please try again later.\",\n  [ErrorCode.MODEL_SERVICE_UNAVAILABLE]:\n    \"Model service is temporarily unavailable. Please try again later.\",\n  [ErrorCode.MODEL_CONNECTION_ERROR]:\n    \"Failed to connect to model service. Please check your network and model configuration.\",\n\n  // ==================== 10 Memory / 记忆管理 ====================\n  // 01 - Memory\n  [ErrorCode.MEMORY_NOT_FOUND]: \"Memory not found.\",\n  [ErrorCode.MEMORY_PREPARATION_FAILED]: \"Failed to prepare memory.\",\n  [ErrorCode.MEMORY_CONFIG_INVALID]: \"Memory configuration is invalid.\",\n\n  // ==================== 11 Profile / 个人信息 ====================\n  // 01 - User\n  [ErrorCode.USER_NOT_FOUND]: \"User not found.\",\n  [ErrorCode.USER_UPDATE_FAILED]: \"Profile update failed.\",\n  [ErrorCode.USER_ALREADY_EXISTS]: \"User already exists.\",\n  [ErrorCode.INVALID_CREDENTIALS]: \"Invalid username or password.\",\n\n  // ==================== 12 TenantResource / 租户资源 ====================\n  // 01 - Tenant\n  [ErrorCode.TENANT_NOT_FOUND]: \"Tenant not found.\",\n  [ErrorCode.TENANT_DISABLED]: \"Tenant is disabled.\",\n  [ErrorCode.TENANT_CONFIG_ERROR]: \"Tenant configuration error.\",\n  [ErrorCode.TENANT_RESOURCE_EXCEEDED]: \"Tenant resource exceeded.\",\n\n  // ==================== 13 External / 外部服务 ====================\n  // 01 - DataMate\n  [ErrorCode.DATAMATE_CONNECTION_FAILED]:\n    \"Failed to connect to DataMate service.\",\n\n  // 02 - Dify\n  [ErrorCode.DIFY_SERVICE_ERROR]: \"Dify service error.\",\n  [ErrorCode.DIFY_CONFIG_INVALID]:\n    \"Dify configuration invalid. Please check URL and API key format.\",\n  [ErrorCode.DIFY_CONNECTION_ERROR]:\n    \"Failed to connect to Dify. Please check network connection and URL.\",\n  [ErrorCode.DIFY_AUTH_ERROR]:\n    \"Dify authentication failed. Please check your API key.\",\n  [ErrorCode.DIFY_RATE_LIMIT]:\n    \"Dify API rate limit exceeded. Please try again later.\",\n  [ErrorCode.DIFY_RESPONSE_ERROR]:\n    \"Failed to parse Dify response. Please check API URL.\",\n\n  // 03 - ME Service\n  [ErrorCode.ME_CONNECTION_FAILED]: \"Failed to connect to ME service.\",\n\n  // ==================== 14 Northbound / 北向接口 ====================\n  // 01 - Request\n  [ErrorCode.NORTHBOUND_REQUEST_FAILED]: \"Northbound request failed.\",\n\n  // 02 - Configuration\n  [ErrorCode.NORTHBOUND_CONFIG_INVALID]: \"Invalid northbound configuration.\",\n\n  // ==================== 15 DataProcess / 数据处理 ====================\n  // 01 - Task\n  [ErrorCode.DATA_PROCESS_FAILED]: \"Data processing failed.\",\n  [ErrorCode.DATA_PARSE_FAILED]: \"Data parsing failed.\",\n\n  // ==================== 99 System / 系统级 ====================\n  // 01 - System Errors\n  [ErrorCode.UNKNOWN_ERROR]: \"An unknown error occurred. Please try again later.\",\n  [ErrorCode.SERVICE_UNAVAILABLE]:\n    \"Service is temporarily unavailable. Please try again later.\",\n  [ErrorCode.DATABASE_ERROR]:\n    \"Database operation failed. Please try again later.\",\n  [ErrorCode.TIMEOUT]: \"Operation timed out. Please try again later.\",\n  [ErrorCode.INTERNAL_ERROR]: \"Internal server error. Please try again later.\",\n\n  // 02 - Config\n  [ErrorCode.CONFIG_NOT_FOUND]: \"Configuration not found.\",\n  [ErrorCode.CONFIG_UPDATE_FAILED]: \"Configuration update failed.\",\n\n  // ==================== Success ====================\n  [ErrorCode.SUCCESS]: \"Success\",\n};\n\n/**\n * Get error message by error code.\n *\n * @param code - The error code (string or number)\n * @returns The error message\n */\nexport const getErrorMessage = (code: string | number): string => {\n  const key = String(code);\n  return (\n    DEFAULT_ERROR_MESSAGES[key] || \"An error occurred. Please try again later.\"\n  );\n};\n\n/**\n * API Response interface.\n */\nexport interface ApiResponse<T = any> {\n  code: number;\n  message: string;\n  data?: T;\n  trace_id?: string;\n  details?: any;\n}\n\n/**\n * Check if API response indicates success.\n *\n * @param response - The API response\n * @returns True if success\n */\nexport const isApiSuccess = (response: ApiResponse): boolean => {\n  return response.code === 0;;\n}\n"
  },
  {
    "path": "frontend/const/errorMessageI18n.ts",
    "content": "/**\n * Error message utility with i18n support.\n *\n * This module provides functions to get localized error messages by error code.\n */\n\nimport { message } from \"antd\";\nimport { useTranslation } from \"react-i18next\";\nimport { ErrorCode } from \"./errorCode\";\nimport { DEFAULT_ERROR_MESSAGES } from \"./errorMessage\";\nimport { handleSessionExpired } from \"@/lib/session\";\nimport { isSessionExpired } from \"./errorCode\";\nimport log from \"@/lib/logger\";\n\n/**\n * Get error message by error code with i18n support.\n *\n * This function tries to get the message from i18n translation files first,\n * then falls back to default English messages.\n *\n * @param code - The error code\n * @param t - Optional translation function (if not provided, returns default message)\n * @returns The localized error message\n */\nexport const getI18nErrorMessage = (\n  code: string | number,\n  t?: (key: string) => string\n): string => {\n  // Try i18n translation first\n  if (t) {\n    const i18nKey = `errorCode.${code}`;\n    const translated = t(i18nKey);\n    // Check if translation exists (i18next returns the key if not found)\n    if (translated !== i18nKey) {\n      return translated;\n    }\n  }\n\n  // Fall back to default message\n  return (\n    DEFAULT_ERROR_MESSAGES[code] ||\n    DEFAULT_ERROR_MESSAGES[ErrorCode.UNKNOWN_ERROR]\n  );\n};\n\n/**\n * Hook to get error message with i18n support.\n *\n * @returns A function that takes an error code and returns the localized message\n */\nexport const useErrorMessage = () => {\n  const { t } = useTranslation();\n\n  return (code: string | number) => getI18nErrorMessage(code, t);\n};\n\n/**\n * Handle API error and return user-friendly message.\n *\n * @param error - The error object (can be ApiError, Error, or any)\n * @param t - Optional translation function\n * @returns User-friendly error message\n */\nexport const handleApiError = (\n  error: any,\n  t?: (key: string) => string\n): string => {\n  // Handle ApiError with code\n  if (error && typeof error === \"object\" && \"code\" in error) {\n    return getI18nErrorMessage(error.code as string | number, t);\n  }\n\n  // Handle standard Error\n  if (error instanceof Error) {\n    return error.message;\n  }\n\n  // Handle unknown error\n  return getI18nErrorMessage(ErrorCode.UNKNOWN_ERROR, t);\n};\n\n/**\n * Options for showing error to user\n */\nexport interface ShowErrorOptions {\n  /** Whether to handle session expiration */\n  handleSession?: boolean;\n  /** Whether to show error message (default: true) */\n  showMessage?: boolean;\n  /** Custom error message (overrides auto-detected message) */\n  customMessage?: string;\n  /** Callback after error is shown */\n  onError?: (error: any) => void;\n}\n\n/**\n * Show error to user with i18n support.\n *\n * This is a convenience function that:\n * 1. Extracts the error code from the error object\n * 2. Gets the i18n translated message\n * 3. Shows the message to user via antd message\n * 4. Optionally handles session expiration\n *\n * @param error - The error object (ApiError, Error, or any)\n * @param t - Translation function (optional, will use default if not provided)\n * @param options - Additional options\n *\n * @example\n * // Simple usage\n * showErrorToUser(error);\n *\n * @example\n * // With translation function\n * const { t } = useTranslation();\n * showErrorToUser(error, t);\n *\n * @example\n * // With options\n * showErrorToUser(error, t, { handleSession: true, onError: (e) => console.log(e) });\n */\nexport const showErrorToUser = (\n  error: any,\n  t?: (key: string) => string,\n  options: ShowErrorOptions = {}\n): void => {\n  const {\n    handleSession = true,\n    showMessage = true,\n    customMessage,\n    onError,\n  } = options;\n\n  // Get error code if available\n  let errorCode: number | undefined;\n  if (error && typeof error === \"object\" && \"code\" in error) {\n    errorCode = error.code as number;\n  }\n\n  // Handle session expiration\n  if (handleSession && errorCode && isSessionExpired(errorCode)) {\n    handleSessionExpired();\n  }\n\n  // Get the error message\n  let errorMessage: string;\n  if (customMessage) {\n    errorMessage = customMessage;\n  } else if (errorCode) {\n    errorMessage = getI18nErrorMessage(errorCode, t);\n  } else if (error instanceof Error) {\n    errorMessage = error.message;\n  } else {\n    errorMessage = getI18nErrorMessage(ErrorCode.UNKNOWN_ERROR, t);\n  }\n\n  // Log the error\n  log.error(`Error [${errorCode || \"unknown\"}]: ${errorMessage}`, error);\n\n  // Show message to user\n  if (showMessage) {\n    message.error(errorMessage);\n  }\n\n  // Call onError callback\n  if (onError) {\n    onError(error);\n  }\n};\n\n/**\n * Wrap an async function with automatic error handling.\n *\n * @param fn - The async function to wrap\n * @param options - Error handling options\n * @returns Wrapped function that automatically handles errors\n *\n * @example\n * const safeFetchData = withErrorHandler(async () => {\n *   const result = await api.fetchData();\n *   return result;\n * }, { handleSession: true });\n *\n * // Usage\n * await safeFetchData();\n */\nexport const withErrorHandler = (\n  fn: (...args: any[]) => Promise<any>,\n  options: ShowErrorOptions = {}\n) => {\n  return async (...args: any[]) => {\n    try {\n      return await fn(...args);\n    } catch (error) {\n      showErrorToUser(error, undefined, options);\n      throw error;\n    }\n  };\n};\n\n/**\n * Check if error requires session refresh action.\n *\n * @param code - The error code\n * @returns True if user needs to re-login\n */\nexport const requiresSessionRefresh = (code: string | number): boolean => {\n  const codeStr = String(code);\n  return codeStr === ErrorCode.TOKEN_EXPIRED || codeStr === ErrorCode.TOKEN_INVALID;\n};\n\n/**\n * Check if error is a validation error.\n *\n * @param code - The error code\n * @returns True if it's a validation error\n */\nexport const isValidationError = (code: string | number): boolean => {\n  const codeStr = String(code);\n  return codeStr >= \"000101\" && codeStr < \"000200\";  // 00 Common - 01 Parameter & Validation\n};\n\n/**\n * Check if error is a resource not found error.\n *\n * @param code - The error code\n * @returns True if resource not found\n */\nexport const isNotFoundError = (code: string | number): boolean => {\n  const codeStr = String(code);\n  return (\n    codeStr === ErrorCode.RESOURCE_NOT_FOUND ||\n    codeStr === ErrorCode.AGENT_NOT_FOUND ||\n    codeStr === ErrorCode.USER_NOT_FOUND ||\n    codeStr === ErrorCode.FILE_NOT_FOUND ||\n    codeStr === ErrorCode.KNOWLEDGE_NOT_FOUND\n  );\n};\n"
  },
  {
    "path": "frontend/const/knowledgeBase.ts",
    "content": "// Knowledge base related constants\n\n// Document status constants\nexport const DOCUMENT_STATUS = {\n  WAIT_FOR_PROCESSING: \"WAIT_FOR_PROCESSING\",\n  WAIT_FOR_FORWARDING: \"WAIT_FOR_FORWARDING\",\n  PROCESSING: \"PROCESSING\",\n  FORWARDING: \"FORWARDING\",\n  COMPLETED: \"COMPLETED\",\n  PROCESS_FAILED: \"PROCESS_FAILED\",\n  FORWARD_FAILED: \"FORWARD_FAILED\",\n} as const;\n\n// Non-terminal statuses (still processing)\nexport const NON_TERMINAL_STATUSES: string[] = [\n  DOCUMENT_STATUS.WAIT_FOR_PROCESSING,\n  DOCUMENT_STATUS.PROCESSING,\n  DOCUMENT_STATUS.WAIT_FOR_FORWARDING,\n  DOCUMENT_STATUS.FORWARDING,\n];\n\n// Document action type constants\nexport const DOCUMENT_ACTION_TYPES = {\n  FETCH_SUCCESS: \"FETCH_SUCCESS\",\n  SELECT_DOCUMENT: \"SELECT_DOCUMENT\",\n  SELECT_DOCUMENTS: \"SELECT_DOCUMENTS\",\n  SELECT_ALL: \"SELECT_ALL\",\n  SET_UPLOAD_FILES: \"SET_UPLOAD_FILES\",\n  SET_UPLOADING: \"SET_UPLOADING\",\n  SET_LOADING_DOCUMENTS: \"SET_LOADING_DOCUMENTS\",\n  DELETE_DOCUMENT: \"DELETE_DOCUMENT\",\n  SET_LOADING_KB_ID: \"SET_LOADING_KB_ID\",\n  CLEAR_DOCUMENTS: \"CLEAR_DOCUMENTS\",\n  ERROR: \"ERROR\",\n} as const;\n\n// Knowledge base action type constants\nexport const KNOWLEDGE_BASE_ACTION_TYPES = {\n  FETCH_SUCCESS: \"FETCH_SUCCESS\",\n  SELECT_KNOWLEDGE_BASE: \"SELECT_KNOWLEDGE_BASE\",\n  SET_ACTIVE: \"SET_ACTIVE\",\n  SET_MODEL: \"SET_MODEL\",\n  DELETE_KNOWLEDGE_BASE: \"DELETE_KNOWLEDGE_BASE\",\n  ADD_KNOWLEDGE_BASE: \"ADD_KNOWLEDGE_BASE\",\n  LOADING: \"LOADING\",\n  SET_SYNC_LOADING: \"SET_SYNC_LOADING\",\n  SET_DATA_MATE_SYNC_ERROR: \"SET_DATA_MATE_SYNC_ERROR\",\n  ERROR: \"ERROR\",\n} as const;\n\n// UI layout configuration, internally manages height ratios of each section\nexport const UI_CONFIG = {\n  TITLE_BAR_HEIGHT: \"56.8px\", // Fixed height for title bar\n  UPLOAD_COMPONENT_HEIGHT: \"250px\", // Fixed height for upload component\n};\n\n// Column width constants configuration for unified management\nexport const COLUMN_WIDTHS = {\n  NAME: \"47%\", // Document name column width\n  STATUS: \"11%\", // Status column width\n  SIZE: \"11%\", // Size column width\n  DATE: \"20%\", // Date column width\n  ACTION: \"11%\", // Action column width\n};\n\n// Document name display configuration\nexport const DOCUMENT_NAME_CONFIG = {\n  MAX_WIDTH: \"450px\", // Maximum width for document name\n  TEXT_OVERFLOW: \"ellipsis\", // Show ellipsis for overflow text\n  WHITE_SPACE: \"nowrap\", // No line break\n  OVERFLOW: \"hidden\", // Hide overflow\n};\n\n// Layout and spacing configuration\nexport const LAYOUT = {\n  // Cells and spacing\n  CELL_PADDING: \"px-3 py-1.5\", // Cell padding\n  TEXT_SIZE: \"text-sm\", // Standard text size\n  HEADER_TEXT: \"text-sm font-semibold text-gray-600 uppercase tracking-wider\", // Header text style\n\n  // Knowledge base title area\n  KB_HEADER_PADDING: \"p-3\", // Knowledge base title area padding\n  KB_TITLE_SIZE: \"text-lg\", // Knowledge base title text size\n  KB_TITLE_MARGIN: \"ml-3\", // Knowledge base title left margin\n\n  // Table row styles\n  TABLE_ROW_HOVER: \"hover:bg-gray-50\", // Table row hover background\n  TABLE_HEADER_BG: \"bg-gray-50\", // Table header background color\n  TABLE_ROW_DIVIDER: \"divide-y divide-gray-200\", // Table row divider\n\n  // Icons and buttons\n  ICON_SIZE: \"text-lg\", // File icon size\n  ICON_MARGIN: \"mr-2\", // File icon right margin\n  ACTION_TEXT: \"text-red-500 hover:text-red-700 font-medium text-xs\", // Action button text style\n};\n\n// UI action type constants\nexport const UI_ACTION_TYPES = {\n  SET_DRAGGING: \"SET_DRAGGING\",\n  TOGGLE_CREATE_MODAL: \"TOGGLE_CREATE_MODAL\",\n  TOGGLE_DOC_MODAL: \"TOGGLE_DOC_MODAL\",\n  ADD_NOTIFICATION: \"ADD_NOTIFICATION\",\n  REMOVE_NOTIFICATION: \"REMOVE_NOTIFICATION\",\n} as const;\n\n// Notification type constants\nexport const NOTIFICATION_TYPES = {\n  SUCCESS: \"success\",\n  ERROR: \"error\",\n  INFO: \"info\",\n  WARNING: \"warning\",\n} as const;\n\n// File extension constants\nexport const FILE_EXTENSIONS = {\n  PDF: \"pdf\",\n  DOC: \"doc\",\n  DOCX: \"docx\",\n  XLS: \"xls\",\n  XLSX: \"xlsx\",\n  PPT: \"ppt\",\n  PPTX: \"pptx\",\n  TXT: \"txt\",\n  MD: \"md\",\n} as const;\n\n// File type constants\nexport const FILE_TYPES = {\n  PDF: \"PDF\",\n  WORD: \"Word\",\n  EXCEL: \"Excel\",\n  POWERPOINT: \"PowerPoint\",\n  TEXT: \"Text\",\n  MARKDOWN: \"Markdown\",\n  UNKNOWN: \"Unknown\",\n} as const;\n\n// File extension to type mapping\nexport const EXTENSION_TO_TYPE_MAP = {\n  [FILE_EXTENSIONS.PDF]: FILE_TYPES.PDF,\n  [FILE_EXTENSIONS.DOC]: FILE_TYPES.WORD,\n  [FILE_EXTENSIONS.DOCX]: FILE_TYPES.WORD,\n  [FILE_EXTENSIONS.XLS]: FILE_TYPES.EXCEL,\n  [FILE_EXTENSIONS.XLSX]: FILE_TYPES.EXCEL,\n  [FILE_EXTENSIONS.PPT]: FILE_TYPES.POWERPOINT,\n  [FILE_EXTENSIONS.PPTX]: FILE_TYPES.POWERPOINT,\n  [FILE_EXTENSIONS.TXT]: FILE_TYPES.TEXT,\n  [FILE_EXTENSIONS.MD]: FILE_TYPES.MARKDOWN,\n} as const;\n"
  },
  {
    "path": "frontend/const/knowledgeBaseLayout.ts",
    "content": "/**\n * Knowledge Base List Layout Constants\n *\n * Shared layout configuration for knowledge base list components.\n * Used by both KnowledgeBaseList (standalone page) and KnowledgeBaseSelectorModal (popup).\n */\n\n// Knowledge base layout constants configuration\nexport const KB_LAYOUT = {\n  // Row padding\n  ROW_PADDING: \"py-3\",\n  // Header padding\n  HEADER_PADDING: \"p-3\",\n  // Button area padding\n  BUTTON_AREA_PADDING: \"p-2\",\n  // Tag spacing\n  TAG_SPACING: \"gap-1\",\n  // Tag margin\n  TAG_MARGIN: \"mt-1.5\",\n  // Tag padding\n  TAG_PADDING: \"px-2 py-0.5\",\n  // Tag text style\n  TAG_TEXT: \"text-xs font-medium\",\n  // Tag rounded corners\n  TAG_ROUNDED: \"rounded-md\",\n  // Line break height\n  TAG_BREAK_HEIGHT: \"h-0.5\",\n  // Second row tag margin\n  SECOND_ROW_TAG_MARGIN: \"mt-1\",\n  // Title margin\n  TITLE_MARGIN: \"ml-2\",\n  // Empty state padding\n  EMPTY_STATE_PADDING: \"py-4\",\n  // Title text style\n  TITLE_TEXT: \"text-lg font-bold\",\n  // Knowledge base name text style\n  KB_NAME_TEXT: \"text-base font-medium\",\n  // Knowledge base name max width\n  KB_NAME_MAX_WIDTH: \"220px\",\n  // Knowledge base name overflow style\n  KB_NAME_OVERFLOW: {\n    textOverflow: \"ellipsis\",\n    whiteSpace: \"nowrap\",\n    overflow: \"hidden\",\n    display: \"block\",\n  },\n} as const;\n\n// Tag style variants for different contexts\nexport const KB_TAG_VARIANTS = {\n  // Default gray tag (used in modal)\n  default: \"bg-gray-100 text-gray-600 border border-gray-200\",\n  // Light gray tag (used in list)\n  light: \"bg-gray-200 text-gray-800 border border-gray-200\",\n  // Green tag for model\n  model: \"bg-green-50 text-green-700 border border-green-200\",\n  // Yellow tag for model mismatch\n  warning: \"bg-yellow-100 text-yellow-800 border border-yellow-200\",\n} as const;\n"
  },
  {
    "path": "frontend/const/layoutConstants.ts",
    "content": "/**\n * Unified Setup page layout constants\n * Based on the design of the first page (config.tsx)\n */\n\n// Header configuration\nexport const HEADER_CONFIG = {\n  // Actual displayed height (including padding)\n  DISPLAY_HEIGHT: \"55px\",\n  \n  // Space reserved for layout calculation (may be larger than display height)\n  RESERVED_HEIGHT: \"55px\",\n  \n  // Vertical padding\n  VERTICAL_PADDING: \"16px\", // py-4\n  \n  // Horizontal padding\n  HORIZONTAL_PADDING: \"24px\", // px-6\n} as const;\n\n// Sidebar configuration\nexport const SIDER_CONFIG = {\n  // Sidebar width when expanded\n  EXPANDED_WIDTH: 280,\n  \n  // Sidebar width when collapsed\n  COLLAPSED_WIDTH: 64,\n} as const;\n\n// Footer configuration\nexport const FOOTER_CONFIG = {\n  // Actual displayed height (including padding)\n  DISPLAY_HEIGHT: \"40px\",\n  \n  // Space reserved for layout calculation (smaller than header, no extra space)\n  RESERVED_HEIGHT: \"40px\",\n  \n  // Vertical padding\n  VERTICAL_PADDING: \"12px\", // py-3\n  \n  // Horizontal padding\n  HORIZONTAL_PADDING: \"16px\", // px-4\n} as const;\n\n// Page level container configuration\nexport const SETUP_PAGE_CONTAINER = {\n  // Maximum width constraint\n  MAX_WIDTH: \"1920px\",\n  \n  // Horizontal padding (corresponding to px-4)\n  HORIZONTAL_PADDING: \"26px\",\n  \n  // Main content area height\n  MAIN_CONTENT_HEIGHT: \"83vh\",\n} as const;\n\n// Two column layout responsive configuration (based on the first page design)\nexport const TWO_COLUMN_LAYOUT = {\n  // Row/Col spacing configuration\n  GUTTER: [16, 16] as [number, number],\n  \n  // Responsive column ratio\n  LEFT_COLUMN: {\n    xs: 24,\n    md: 24,\n    lg: 10,\n    xl: 9,\n    xxl: 8,\n  },\n  \n  RIGHT_COLUMN: {\n    xs: 24,\n    md: 24, \n    lg: 14,\n    xl: 15,\n    xxl: 16,\n  },\n} as const;\n\n// Standard card style configuration (based on the first page design)\nexport const STANDARD_CARD = {\n  // Base style class name\n  BASE_CLASSES: \"bg-white border border-gray-200 rounded-md flex flex-col overflow-hidden\",\n  \n  // Padding\n  PADDING: \"16px\", // Corresponds to p-4\n  \n  // Content area scroll configuration\n  CONTENT_SCROLL: {\n    overflowY: \"auto\" as const,\n    overflowX: \"hidden\" as const,\n  },\n} as const;\n\n// Card header configuration\nexport const CARD_HEADER = {\n  // Header margin\n  MARGIN_BOTTOM: \"16px\", // Corresponds to mb-4\n  \n  // Header padding\n  PADDING: \"0 8px\", // Corresponds to px-2\n  \n  // Divider style\n  DIVIDER_CLASSES: \"h-[1px] bg-gray-200 mt-2\",\n} as const;\n"
  },
  {
    "path": "frontend/const/marketConfig.ts",
    "content": "// ========== Market Configuration Constants ==========\n\n/**\n * Default icons for market agent categories\n * Maps category name field to their corresponding icons\n */\nexport const MARKET_CATEGORY_ICONS: Record<string, string> = {\n  research: \"🔬\",\n  content: \"✍️\",\n  development: \"💻\",\n  business: \"📈\",\n  automation: \"⚙️\",\n  education: \"📚\",\n  communication: \"💬\",\n  data: \"📊\",\n  creative: \"🎨\",\n  other: \"📦\",\n} as const;\n\n/**\n * Get icon for a category by name field\n * @param categoryName - Category name field (e.g., \"research\", \"content\")\n * @param fallbackIcon - Fallback icon if category not found (default: 📦)\n * @returns Icon emoji string\n */\nexport function getCategoryIcon(\n  categoryName: string | null | undefined,\n  fallbackIcon: string = \"📦\"\n): string {\n  if (!categoryName) {\n    return fallbackIcon;\n  }\n  \n  return MARKET_CATEGORY_ICONS[categoryName] || fallbackIcon;\n}\n\n"
  },
  {
    "path": "frontend/const/memoryConfig.ts",
    "content": "// Memory share strategy constants\nexport const MEMORY_SHARE_STRATEGY = {\n  ALWAYS: \"always\",\n  ASK: \"ask\", \n  NEVER: \"never\",\n} as const;\n\n// Type for memory share strategy\nexport type MemoryShareStrategy = (typeof MEMORY_SHARE_STRATEGY)[keyof typeof MEMORY_SHARE_STRATEGY];\n"
  },
  {
    "path": "frontend/const/modelConfig.ts",
    "content": "// Model type constants\nexport const MODEL_TYPES = {\n  LLM: \"llm\",\n  EMBEDDING: \"embedding\",\n  MULTI_EMBEDDING: \"multi_embedding\",\n  RERANK: \"rerank\",\n  STT: \"stt\",\n  TTS: \"tts\",\n  VLM: \"vlm\",\n} as const;\n\n// Model source constants\nexport const MODEL_SOURCES = {\n  OPENAI: \"openai\",\n  SILICON: \"silicon\",\n  MODELENGINE: \"modelengine\",\n  OPENAI_API_COMPATIBLE: \"OpenAI-API-Compatible\",\n  CUSTOM: \"custom\",\n  DASHSCOPE: \"dashscope\",\n  TOKENPONY: \"tokenpony\",\n} as const;\n\n// Model status constants\nexport const MODEL_STATUS = {\n  AVAILABLE: \"available\",\n  UNAVAILABLE: \"unavailable\",\n  CHECKING: \"detecting\",\n  UNCHECKED: \"not_detected\",\n} as const;\n\n// Icon type constants\nexport const ICON_TYPES = {\n  PRESET: \"preset\",\n  CUSTOM: \"custom\",\n} as const;\n\n// Provider detection and icon mapping\nexport const MODEL_PROVIDER_KEYS = [\n  \"qwen\",\n  \"openai\",\n  \"siliconflow\",\n  \"jina\",\n  \"deepseek\",\n  \"aliyuncs\",\n  \"tokenpony\",\n  \"dashscope\",\n] as const;\n\nexport type ModelProviderKey = (typeof MODEL_PROVIDER_KEYS)[number];\n\n// Direct provider hint string mapping (no arrays)\nexport const PROVIDER_HINTS: Record<ModelProviderKey, string> = {\n  qwen: \"qwen\",\n  openai: \"openai\",\n  siliconflow: \"siliconflow\",\n  jina: \"jina\",\n  deepseek: \"deepseek\",\n  aliyuncs: \"aliyuncs\",\n  tokenpony: \"tokenpony\",\n  dashscope: \"dashscope\",\n};\n\n// Icon filenames for providers\nexport const PROVIDER_ICON_MAP: Record<ModelProviderKey, string> = {\n  qwen: \"/qwen.png\",\n  openai: \"/openai.png\",\n  siliconflow: \"/siliconflow.png\",\n  jina: \"/jina.png\",\n  deepseek: \"/deepseek.png\",\n  aliyuncs: \"/aliyuncs.png\",\n  dashscope:\"/aliyuncs.png\",\n  tokenpony: \"/tokenpony.png\",\n};\n\nexport const OFFICIAL_PROVIDER_ICON = \"/modelengine-logo.png\";\nexport const DEFAULT_PROVIDER_ICON = \"/default-icon.png\";\n\n// Provider official website links\nexport const PROVIDER_LINKS: Record<string, string> = {\n  modelengine: \"https://modelengine-ai.net/\",\n  siliconflow: \"https://siliconflow.ai/\",\n  openai: \"https://platform.openai.com/\",\n  kimi: \"https://platform.moonshot.ai/\",\n  deepseek: \"https://platform.deepseek.com/\",\n  qwen: \"https://bailian.console.aliyun.com/\",\n  jina: \"https://jina.ai/\",\n  baai: \"https://www.baai.ac.cn/\"\n};\n\n// User role constants\nexport const USER_ROLES = {\n  SPEED: \"SPEED\",\n  SU: \"SU\",\n  ADMIN: \"ADMIN\",\n  DEV: \"DEV\",\n  USER: \"USER\",\n} as const;\n\n// Memory tab key constants\nexport const MEMORY_TAB_KEYS = {\n  BASE: \"base\",\n  TENANT: \"tenant\",\n  AGENT_SHARED: \"agentShared\",\n  USER_PERSONAL: \"userPersonal\",\n  USER_AGENT: \"userAgent\",\n} as const;\n\n// Type for memory tab keys\nexport type MemoryTabKey =\n  (typeof MEMORY_TAB_KEYS)[keyof typeof MEMORY_TAB_KEYS];\n\n// Layout configuration constants\nexport const LAYOUT_CONFIG = {\n  CARD_HEADER_PADDING: \"10px 24px\",\n  CARD_BODY_PADDING: \"12px 20px\",\n  MODEL_TITLE_MARGIN_LEFT: \"0px\",\n  HEADER_HEIGHT: 57, // Card title height\n  BUTTON_AREA_HEIGHT: 48, // Button area height\n  CARD_GAP: 12, // Row gutter\n  // App config specific\n  APP_CARD_BODY_PADDING: \"8px 20px\",\n};\n\n// Card theme constants\nexport const CARD_THEMES = {\n  default: {\n    borderColor: \"#e6e6e6\",\n    backgroundColor: \"#ffffff\",\n  },\n  llm: {\n    borderColor: \"#e6e6e6\",\n    backgroundColor: \"#ffffff\",\n  },\n  embedding: {\n    borderColor: \"#e6e6e6\",\n    backgroundColor: \"#ffffff\",\n  },\n  reranker: {\n    borderColor: \"#e6e6e6\",\n    backgroundColor: \"#ffffff\",\n  },\n  multimodal: {\n    borderColor: \"#e6e6e6\",\n    backgroundColor: \"#ffffff\",\n  },\n  voice: {\n    borderColor: \"#e6e6e6\",\n    backgroundColor: \"#ffffff\",\n  },\n};\n\n"
  },
  {
    "path": "frontend/hooks/agent/useAgentInfo.ts",
    "content": "import { useQuery } from \"@tanstack/react-query\";\nimport { useQueryClient } from \"@tanstack/react-query\";\nimport { searchAgentInfo } from \"@/services/agentConfigService\";\n\nexport function useAgentInfo(agentId: number | null) {\n\tconst queryClient = useQueryClient();\n\n\tconst query = useQuery({\n\t\tqueryKey: [\"agentInfo\", agentId],\n\t\tqueryFn: async () => {\n\t\t\tif (!agentId) return null;\n\t\t\tconst res = await searchAgentInfo(agentId);\n\t\t\tif (!res || !res.success) {\n\t\t\t\tthrow new Error(res?.message || \"Failed to fetch agent info\");\n\t\t\t}\n\t\t\treturn res.data;\n\t\t},\n\t\tenabled: !!agentId,\n\t\tstaleTime: 60_000,\n\t});\n\n\tconst agentInfo = query.data ?? null;\n\n\treturn {\n\t\t...query,\n\t\tagentInfo,\n\t\tinvalidate: () => queryClient.invalidateQueries({ queryKey: [\"agentInfo\"] }),\n\t};\n}\n"
  },
  {
    "path": "frontend/hooks/agent/useAgentList.ts",
    "content": "import { useQuery, useQueryClient } from \"@tanstack/react-query\";\nimport { fetchAgentList as fetchAgentListService } from \"@/services/agentConfigService\";\nimport { useMemo, useEffect } from \"react\";\nimport { Agent } from \"@/types/agentConfig\";\n\nexport function useAgentList(tenantId: string | null) {\n\tconst queryClient = useQueryClient();\n\n\tconst query = useQuery({\n\t\tqueryKey: [\"agents\", tenantId],\n\t\tqueryFn: async () => {\n\t\t\tconst res = await fetchAgentListService(tenantId ?? undefined);\n\t\t\tif (!res || !res.success) {\n\t\t\t\tthrow new Error(res?.message || \"Failed to fetch agents\");\n\t\t\t}\n\t\t\treturn res.data || [];\n\t\t},\n\t\tstaleTime: 60_000,\n\t\tenabled: !!tenantId,\n\t});\n\n\tconst agents = query.data ?? [];\n\n\tconst availableAgents = useMemo(() => {\n\t\treturn (agents as Agent[]).filter((a) => a.is_available !== false);\n\t}, [agents]);\n\n\treturn {\n\t\t...query,\n\t\tagents,\n\t\tavailableAgents,\n\t\tinvalidate: () => queryClient.invalidateQueries({ queryKey: [\"agents\"] }),\n\t};\n}\n\n\n"
  },
  {
    "path": "frontend/hooks/agent/useAgentVersion.ts",
    "content": "import { useQuery, useQueryClient } from \"@tanstack/react-query\";\nimport { fetchAgentVersion, type AgentVersion } from \"@/services/agentVersionService\";\n\n\n/**\n * Hook to fetch agent version info using React Query\n * @param options - Configuration options including agentId, versionNo and query settings\n * @returns Query result containing version data and utilities\n */\nexport function useAgentVersion(agentId: number | null, versionNo: number) {\n\n  const queryClient = useQueryClient();\n\n  const isEnabled = agentId !== undefined && agentId !== null && versionNo !== undefined && versionNo !== null;\n\n  const query = useQuery({\n    queryKey: [\"agentVersion\", agentId, versionNo],\n    queryFn: async () => {\n      console.log(\"queryFn executed! agentId:\", agentId, \"versionNo:\", versionNo); // 调试日志\n      if (agentId === undefined || agentId === null) {\n        throw new Error(\"Agent ID is required\");\n      }\n      if (versionNo === undefined || versionNo === null) {\n        throw new Error(\"Version number is required\");\n      }\n      const res = await fetchAgentVersion(agentId, versionNo);\n\n      if (!res.success) {\n        throw new Error(res.message || \"Failed to fetch agent version info\");\n      }\n      return res.data as AgentVersion;\n    },\n    staleTime: 0,  // 改为 0，确保每次都重新获取\n    gcTime: 0,  // 缓存立即过期\n    enabled: isEnabled,\n  });\n\n  const agentVersionInfo = query.data ?? null;\n\n  return {\n    ...query,\n    agentVersionInfo,\n    invalidate: () =>\n      queryClient.invalidateQueries({ queryKey: [\"agentVersion\", agentId, versionNo] }),\n  };\n}\n"
  },
  {
    "path": "frontend/hooks/agent/useAgentVersionDetail.ts",
    "content": "import { useQuery, useQueryClient } from \"@tanstack/react-query\";\nimport { AgentVersionDetail, fetchAgentVersionDetail, type AgentVersion } from \"@/services/agentVersionService\";\n\n\n/**\n * Hook to fetch agent version info using React Query\n * @param options - Configuration options including agentId, versionNo and query settings\n * @returns Query result containing version data and utilities\n */\nexport function useAgentVersionDetail(agentId: number | null, versionNo: number | null) {\n\n  const queryClient = useQueryClient();\n\n  const isEnabled = agentId !== undefined && agentId !== null && versionNo !== undefined && versionNo !== null;\n\n  const query = useQuery({\n    queryKey: [\"agentVersionDetail\", agentId, versionNo],\n    queryFn: async () => {\n      if (agentId === undefined || agentId === null) {\n        throw new Error(\"Agent ID is required\");\n      }\n      if (versionNo === undefined || versionNo === null) {\n        throw new Error(\"Version number is required\");\n      }\n      const res = await fetchAgentVersionDetail(agentId, versionNo);\n      if (!res.success) {\n        throw new Error(res.message || \"Failed to fetch agent version detail\");\n      }\n      return res.data as AgentVersionDetail;\n    },\n    staleTime: 0,  // 改为 0，确保每次都重新获取\n    gcTime: 0,  // 缓存立即过期\n    enabled: isEnabled,\n  });\n\n  const agentVersionDetail = query.data ?? null;\n\n  return {\n    ...query,\n    agentVersionDetail,\n    invalidate: () =>\n      queryClient.invalidateQueries({ queryKey: [\"agentVersionDetail\", agentId, versionNo] }),\n  };\n}\n"
  },
  {
    "path": "frontend/hooks/agent/useAgentVersionList.ts",
    "content": "import { useQuery, useQueryClient } from \"@tanstack/react-query\";\nimport {\n  fetchAgentVersionList,\n  type AgentVersion,\n} from \"@/services/agentVersionService\";\n\n/**\n * Hook to fetch agent version list using React Query\n * @param agentId The agent ID to fetch versions for\n * @param tenantId optional tenant ID for filtering\n * @returns Query result containing version list data and utilities\n */\nexport function useAgentVersionList(agentId: number | null, tenantId?: string) {\n  const queryClient = useQueryClient();\n\n  const query = useQuery({\n    queryKey: [\"agentVersions\", agentId, tenantId],\n    queryFn: async () => {\n      if (agentId === undefined || agentId === null) {\n        throw new Error(\"Agent ID is required\");\n      }\n      const res = await fetchAgentVersionList(agentId, tenantId);\n      if (!res.success) {\n        throw new Error(res.message || \"Failed to fetch agent versions\");\n      }\n      return res.data;\n    },\n    staleTime: 60_000,\n    enabled: agentId !== undefined && agentId !== null,\n  });\n\n  const agentVersionList = query.data?.items ?? [];\n  const total = query.data?.total ?? 0;\n\n  return {\n    ...query,\n    agentVersionList,\n    total,\n    invalidate: () =>\n      queryClient.invalidateQueries({ queryKey: [\"agentVersions\", agentId, tenantId] }),\n  };\n}\n"
  },
  {
    "path": "frontend/hooks/agent/usePublishedAgentList.ts",
    "content": "import { useQuery, useQueryClient } from \"@tanstack/react-query\";\nimport { fetchPublishedAgentList as fetchPublishedAgentListService } from \"@/services/agentConfigService\";\nimport { useMemo, useEffect } from \"react\";\nimport { Agent } from \"@/types/agentConfig\";\n\nexport function usePublishedAgentList() {\n\tconst queryClient = useQueryClient();\n\n\tconst query = useQuery({\n\t\tqueryKey: [\"publishedAgentsList\"],\n\t\tqueryFn: async () => {\n\t\t\tconst res = await fetchPublishedAgentListService();\n\t\t\tif (!res || !res.success) {\n\t\t\t\tthrow new Error(res?.message || \"Failed to fetch published agents\");\n\t\t\t}\n\t\t\treturn res.data || [];\n\t\t},\n\t\tstaleTime: 60_000,\n\t\tenabled: true,\n\t});\n\n\tconst agents = query.data ?? [];\n\n\tconst availableAgents = useMemo(() => {\n\t\treturn (agents as Agent[]).filter((a) => a.is_available !== false);\n\t}, [agents]);\n\n\treturn {\n\t\t...query,\n\t\tagents,\n\t\tavailableAgents,\n\t\tinvalidate: () => queryClient.invalidateQueries({ queryKey: [\"publishedAgentsList\"] }),\n\t};\n}\n"
  },
  {
    "path": "frontend/hooks/agent/useSaveGuard.ts",
    "content": "import { useCallback } from \"react\";\nimport { useTranslation } from \"react-i18next\";\nimport { App } from \"antd\";\nimport { useQueryClient } from \"@tanstack/react-query\";\nimport { useConfirmModal } from \"../useConfirmModal\";\nimport { useAgentConfigStore } from \"@/stores/agentConfigStore\";\nimport { updateAgentInfo, updateToolConfig, searchToolConfig } from \"@/services/agentConfigService\";\nimport { Agent } from \"@/types/agentConfig\";\nimport log from \"@/lib/logger\";\n\n/**\n * Batch update tool configurations for an agent\n * Handles create, update, and enable/disable operations\n * \n * Logic:\n * 1. For newly selected tools (not in baseline): Create tool instance with enable=true\n * 2. For previously selected tools (in baseline): Update tool params with enable=true\n * 3. For deselected tools (in baseline but not in current): Set enable=false\n * \n * @param agentId - The agent ID\n * @param currentTools - Current tool list from edited agent\n * @param baselineTools - Baseline tool list (original state before editing)\n */\nasync function batchUpdateToolConfigs(\n  agentId: number,\n  currentTools: any[],\n  baselineTools: any[]\n) {\n  // Get the set of currently selected tool IDs\n  const currentToolIds = new Set(\n    currentTools.map((tool) => parseInt(tool.id))\n  );\n\n  // Get the set of baseline (original) tool IDs\n  const baselineToolIds = new Set(\n    baselineTools.map((tool) => parseInt(tool.id))\n  );\n\n  // Process each tool in the current selection\n  for (const tool of currentTools) {\n    const toolId = parseInt(tool.id);\n    const isEnabled = true; // Selected tools are always enabled\n    const params = tool.initParams?.reduce((acc: Record<string, any>, param: any) => {\n      acc[param.name] = param.value;\n      return acc;\n    }, {} as Record<string, any>) || {};\n\n    try {\n      // Update or create tool instance with current params and enabled status\n      await updateToolConfig(toolId, agentId, params, isEnabled);\n    } catch (error) {\n      log.error(`Failed to save tool config for tool ${toolId}:`, error);\n      // Continue with other tools even if one fails\n    }\n  }\n\n  // Disable tools that were previously selected but are now deselected\n  const toolsToDisable = Array.from(baselineToolIds).filter(\n    (toolId) => !currentToolIds.has(toolId)\n  );\n\n  for (const toolId of toolsToDisable) {\n    try {\n      // Fetch existing params to preserve them when disabling\n      const toolInstance = await searchToolConfig(toolId, agentId);\n      const existingParams = toolInstance.success && toolInstance.data?.params \n        ? toolInstance.data.params \n        : {};\n      \n      // Disable the tool while preserving its params\n      await updateToolConfig(toolId, agentId, existingParams, false);\n    } catch (error) {\n      log.error(`Failed to disable tool ${toolId}:`, error);\n      // Continue with other tools even if one fails\n    }\n  }\n}\n\n/**\n * Hook for handling agent save guard logic\n * Provides two functions: one with confirmation dialog, one for direct save\n *\n * This hook encapsulates the complete flow of checking for unsaved changes\n * and handling the save/discard decision for agent configurations.\n *\n * @returns object with promptSaveGuard and saveDirectly functions\n */\nexport const useSaveGuard = () => {\n  const { t } = useTranslation(\"common\");\n  const { confirm } = useConfirmModal();\n  const { message } = App.useApp();\n  const queryClient = useQueryClient();\n\n  // Shared save logic\n  const save = useCallback(async (): Promise<boolean> => {\n    try {\n      const currentEditedAgent = useAgentConfigStore.getState().editedAgent;\n      const currentAgentId = useAgentConfigStore.getState().currentAgentId;\n\n      // Validate required fields\n      if (!currentEditedAgent.name.trim()) {\n        message.error(t(\"agent.validation.nameRequired\"));\n        return false;\n      }\n\n      const enabledToolIds = (currentEditedAgent.tools || [])\n        .filter((tool: any) => tool && tool.is_available !== false)\n        .map((tool: any) => Number(tool.id))\n        .filter((id: number) => Number.isFinite(id));\n\n      const relatedAgentIds = (currentEditedAgent.sub_agent_id_list || [])\n        .map((id: any) => Number(id))\n        .filter((id: number) => Number.isFinite(id));\n\n      const groupIds = (currentEditedAgent.group_ids || [])\n        .map((id: any) => Number(id))\n        .filter((id: number) => Number.isFinite(id));\n\n      const result = await updateAgentInfo({\n        agent_id: currentAgentId ?? undefined, // undefined=create, number=update\n        name: currentEditedAgent.name,\n        display_name: currentEditedAgent.display_name,\n        description: currentEditedAgent.description,\n        author: currentEditedAgent.author,\n        group_ids: groupIds,\n        model_name: currentEditedAgent.model,\n        model_id: currentEditedAgent.model_id ?? undefined,\n        max_steps: currentEditedAgent.max_step,\n        provide_run_summary: currentEditedAgent.provide_run_summary,\n        enabled: true,\n        business_description: currentEditedAgent.business_description,\n        duty_prompt: currentEditedAgent.duty_prompt,\n        constraint_prompt: currentEditedAgent.constraint_prompt,\n        few_shots_prompt: currentEditedAgent.few_shots_prompt,\n        business_logic_model_name: currentEditedAgent.business_logic_model_name ?? undefined,\n        business_logic_model_id: currentEditedAgent.business_logic_model_id ?? undefined,\n        enabled_tool_ids: enabledToolIds,\n        related_agent_ids: relatedAgentIds,\n        ingroup_permission: currentEditedAgent.ingroup_permission ?? \"READ_ONLY\",\n      });\n\n      if (result.success) {\n        useAgentConfigStore.getState().markAsSaved(); // Mark as saved\n        message.success(\n            t(\"businessLogic.config.message.agentSaveSuccess\")\n        );\n\n        // Get the final agent ID (from result for new agents, existing currentAgentId for updates)\n        const finalAgentId = result.data?.agent_id || currentAgentId;\n        if (!finalAgentId) {\n          throw new Error(\"Failed to get agent ID after save operation\");\n        }\n\n        // Batch process tool configurations for both create and update modes\n        const baselineTools = useAgentConfigStore.getState().baselineAgent?.tools || [];\n        await batchUpdateToolConfigs(finalAgentId, currentEditedAgent.tools || [], baselineTools);\n\n        // Common logic for both creation and update: refresh cache and update store\n        await queryClient.invalidateQueries({\n          queryKey: [\"agentInfo\", finalAgentId]\n        });\n        await queryClient.refetchQueries({\n          queryKey: [\"agentInfo\", finalAgentId]\n        });\n        // Get the updated agent data from the refreshed cache\n        let updatedAgent = queryClient.getQueryData([\"agentInfo\", finalAgentId]) as Agent;\n\n        // For new agents, the cache might not be populated yet\n        // Construct a minimal Agent object from the edited data\n        if (!updatedAgent && finalAgentId) {\n          updatedAgent = {\n            id: String(finalAgentId),\n            name: currentEditedAgent.name,\n            display_name: currentEditedAgent.display_name,\n            description: currentEditedAgent.description,\n            author: currentEditedAgent.author,\n            model: currentEditedAgent.model,\n            model_id: currentEditedAgent.model_id,\n            max_step: currentEditedAgent.max_step,\n            provide_run_summary: currentEditedAgent.provide_run_summary,\n            tools: currentEditedAgent.tools || [],\n            duty_prompt: currentEditedAgent.duty_prompt,\n            constraint_prompt: currentEditedAgent.constraint_prompt,\n            few_shots_prompt: currentEditedAgent.few_shots_prompt,\n            business_description: currentEditedAgent.business_description,\n            business_logic_model_name: currentEditedAgent.business_logic_model_name,\n            business_logic_model_id: currentEditedAgent.business_logic_model_id,\n            sub_agent_id_list: currentEditedAgent.sub_agent_id_list,\n            group_ids: currentEditedAgent.group_ids || [],\n          };\n        }\n\n        if (updatedAgent) {\n          useAgentConfigStore.getState().setCurrentAgent(updatedAgent);\n        }\n\n        // Also invalidate the agents list cache to ensure the list reflects any changes\n        queryClient.invalidateQueries({ queryKey: [\"agents\"] });\n\n        return true;\n      } else {\n        message.error(result.message || t(\"businessLogic.config.error.saveFailed\") );\n        return false;\n      }\n    } catch (error) {\n      message.error(t(\"businessLogic.config.error.saveFailed\") );\n      return false;\n    }\n  }, [t, message, queryClient]);\n\n  // Function with confirmation dialog - prompts user to save/discard\n  const saveWithModal = useCallback(\n    async (): Promise<boolean> => {\n      // Get the latest hasUnsavedChanges from store at call time\n      const currentHasUnsavedChanges = useAgentConfigStore.getState().hasUnsavedChanges;\n\n      if (!currentHasUnsavedChanges) {\n        return true; // No unsaved changes, proceed\n      }\n\n      // Show confirmation dialog\n      return new Promise((resolve) => {\n        confirm({\n          title: t(\"agentConfig.modals.saveConfirm.title\"),\n          content: t(\"agentConfig.modals.saveConfirm.content\"),\n          okText: t(\"agentConfig.modals.saveConfirm.save\"),\n          cancelText: t(\"agentConfig.modals.saveConfirm.discard\"),\n          onOk: async () => {\n            const success = await save();\n            resolve(success);\n          },\n          onCancel: () => {\n            // Discard changes\n            useAgentConfigStore.getState().discardChanges();\n            resolve(true);\n          },\n        });\n      });\n    },\n    []\n  );\n\n  // Function for direct save - saves without confirmation dialog\n  const saveDirectly = useCallback(\n    async (): Promise<boolean> => {\n      // Get the latest hasUnsavedChanges from store at call time\n      const currentHasUnsavedChanges = useAgentConfigStore.getState().hasUnsavedChanges;\n\n      if (!currentHasUnsavedChanges) {\n        return true; // No unsaved changes, nothing to save\n      }\n\n      // Save directly without confirmation\n      return await save();\n    },\n    []\n  );\n\n  return { save, saveWithModal };\n};\n"
  },
  {
    "path": "frontend/hooks/agent/useToolList.ts",
    "content": "import { useQuery, useQueryClient } from \"@tanstack/react-query\";\nimport { fetchTools } from \"@/services/agentConfigService\";\nimport { useMemo } from \"react\";\nimport { Tool, ToolGroup, ToolSubGroup } from \"@/types/agentConfig\";\nimport { TOOL_SOURCE_TYPES } from \"@/const/agentConfig\";\n\nexport function useToolList(options?: { enabled?: boolean; staleTime?: number }) {\n\tconst queryClient = useQueryClient();\n\n\tconst query = useQuery({\n\t\tqueryKey: [\"tools\"],\n\t\tqueryFn: async () => {\n\t\t\tconst res = await fetchTools();\n\t\t\tif (!res || !res.success) {\n\t\t\t\tthrow new Error(res?.message || \"Failed to fetch tools\");\n\t\t\t}\n\t\t\treturn res.data || [];\n\t\t},\n\t\tstaleTime: options?.staleTime ?? 60_000,\n\t\tenabled: options?.enabled ?? true,\n\t});\n\n\tconst tools = query.data ?? [];\n\n\tconst availableTools = useMemo(() => {\n\t\treturn (tools as any[]).filter((tool) => tool.is_available !== false);\n\t}, [tools]);\n\n\t// Grouped tools helper function - returns a function that can be called with translation\n\t// Default grouped tools without selected tool filtering\n\tconst groupedTools = useMemo(() => {\n\t\tconst groups: ToolGroup[] = [];\n\t\tconst groupMap = new Map<string, Tool[]>();\n\t\n\t\t// Group by source and usage\n\t\tavailableTools.forEach((tool) => {\n\t\t  let groupKey: string;\n\t\n\t\t  if (tool.source === TOOL_SOURCE_TYPES.MCP) {\n\t\t\tconst usage = tool.usage || TOOL_SOURCE_TYPES.OTHER;\n\t\t\tgroupKey = `mcp-${usage}`;\n\t\t  } else if (tool.source === TOOL_SOURCE_TYPES.LOCAL) {\n\t\t\tgroupKey = TOOL_SOURCE_TYPES.LOCAL;\n\t\t  } else if (tool.source === TOOL_SOURCE_TYPES.LANGCHAIN) {\n\t\t\tgroupKey = TOOL_SOURCE_TYPES.LANGCHAIN;\n\t\t  } else {\n\t\t\tgroupKey = tool.source || TOOL_SOURCE_TYPES.OTHER;\n\t\t  }\n\t\n\t\t  if (!groupMap.has(groupKey)) {\n\t\t\tgroupMap.set(groupKey, []);\n\t\t  }\n\t\t  groupMap.get(groupKey)!.push(tool);\n\t\t});\n\t\n\t\t// Convert to array and sort\n\t\tgroupMap.forEach((tools, key) => {\n\t\t  const sortedTools = tools.sort((a, b) => {\n\t\t\t// Sort by creation time\n\t\t\tif (!a.create_time && !b.create_time) return 0;\n\t\t\tif (!a.create_time) return 1;\n\t\t\tif (!b.create_time) return -1;\n\t\t\treturn a.create_time.localeCompare(b.create_time);\n\t\t  });\n\t\n\t\t  // Create secondary grouping for local tools\n\t\t  let subGroups: ToolSubGroup[] | undefined;\n\t\t  if (key === TOOL_SOURCE_TYPES.LOCAL) {\n\t\t\tconst categoryMap = new Map<string, Tool[]>();\n\t\n\t\t\tsortedTools.forEach((tool) => {\n\t\t\t  const category =\n\t\t\t\ttool.category && tool.category.trim() !== \"\"\n\t\t\t\t  ? tool.category\n\t\t\t\t  : \"toolPool.category.other\";\n\t\t\t  if (!categoryMap.has(category)) {\n\t\t\t\tcategoryMap.set(category, []);\n\t\t\t  }\n\t\t\t  categoryMap.get(category)!.push(tool);\n\t\t\t});\n\t\n\t\t\tsubGroups = Array.from(categoryMap.entries())\n\t\t\t  .map(([category, categoryTools]) => ({\n\t\t\t\tkey: category,\n\t\t\t\tlabel: category,\n\t\t\t\ttools: categoryTools.sort((a, b) => a.name.localeCompare(b.name)), // Sort by name alphabetically\n\t\t\t  }))\n\t\t\t  .sort((a, b) => {\n\t\t\t\t// Put \"Other\" category at the end\n\t\t\t\tconst otherKey = \"toolPool.category.other\";\n\t\t\t\tif (a.key === otherKey) return 1;\n\t\t\t\tif (b.key === otherKey) return -1;\n\t\t\t\treturn a.label.localeCompare(b.label); // Sort other categories alphabetically\n\t\t\t  });\n\t\t  }\n\t\n\t\t  groups.push({\n\t\t\tkey,\n\t\t\tlabel: key.startsWith(\"mcp-\")\n\t\t\t  ? key.replace(\"mcp-\", \"\")\n\t\t\t  : key === TOOL_SOURCE_TYPES.LOCAL\n\t\t\t  ? \"toolPool.group.local\"\n\t\t\t  : key === TOOL_SOURCE_TYPES.LANGCHAIN\n\t\t\t  ? \"toolPool.group.langchain\"\n\t\t\t  : key,\n\t\t\ttools: sortedTools,\n\t\t\tsubGroups,\n\t\t  });\n\t\t});\n\t\n\t\t// Sort by priority: local > langchain > mcp groups\n\t\treturn groups.sort((a, b) => {\n\t\t  const getPriority = (key: string) => {\n\t\t\tif (key === TOOL_SOURCE_TYPES.LOCAL) return 1;\n\t\t\tif (key === TOOL_SOURCE_TYPES.LANGCHAIN) return 2;\n\t\t\tif (key.startsWith(\"mcp-\")) return 3;\n\t\t\treturn 4;\n\t\t  };\n\t\t  return getPriority(a.key) - getPriority(b.key);\n\t\t});\n\t  }, [tools]);\n\n\treturn {\n\t\t...query,\n\t\ttools,\n\t\tavailableTools,\n\t\tgroupedTools,\n\t\tinvalidate: () => queryClient.invalidateQueries({ queryKey: [\"tools\"] }),\n\t};\n}\n\n"
  },
  {
    "path": "frontend/hooks/auth/useAuthentication.ts",
    "content": "\"use client\";\n\nimport { useAuthenticationState } from \"@/hooks/auth/useAuthenticationState\";\nimport { useAuthenticationUI } from \"@/hooks/auth/useAuthenticationUI\";\nimport { AuthenticationContextType } from \"@/types/auth\";\n\n/**\n * Custom hook for authentication management\n * Combines useAuthenticationState and useAuthenticationUI to provide full authentication functionality\n */\nexport function useAuthentication(): AuthenticationContextType {\n  const authState = useAuthenticationState();\n  // Pass auth state to useAuthenticationUI to avoid circular dependency\n  const authUI = useAuthenticationUI({\n    isAuthenticated: authState.isAuthenticated,\n    isAuthChecking: authState.isAuthChecking,\n    clearLocalSession: authState.clearLocalSession,\n  });\n\n  return {\n    // Authentication state\n    isAuthenticated: authState.isAuthenticated,\n    isAuthChecking: authState.isAuthChecking,\n    isLoading: authState.isLoading,\n    session: authState.session,\n\n    authServiceUnavailable: authState.authServiceUnavailable,\n\n    // Methods\n    login: authState.login,\n    register: authState.register,\n    logout: authState.logout,\n    clearLocalSession: authState.clearLocalSession,\n    revoke: authState.revoke,\n\n    // UI state\n    isLoginModalOpen: authUI.isLoginModalOpen,\n    isRegisterModalOpen: authUI.isRegisterModalOpen,\n    isAuthPromptModalOpen: authUI.isAuthPromptModalOpen,\n    isSessionExpiredModalOpen: authUI.isSessionExpiredModalOpen,\n\n    // UI methods\n    openLoginModal: authUI.openLoginModal,\n    closeLoginModal: authUI.closeLoginModal,\n\n    openRegisterModal: authUI.openRegisterModal,\n    closeRegisterModal: authUI.closeRegisterModal,\n\n    openAuthPromptModal: authUI.openAuthPromptModal,\n    closeAuthPromptModal: authUI.closeAuthPromptModal,\n\n    openSessionExpiredModal: authUI.openSessionExpiredModal,\n    closeSessionExpiredModal: authUI.closeSessionExpiredModal\n  };\n}\n"
  },
  {
    "path": "frontend/hooks/auth/useAuthenticationState.ts",
    "content": "\"use client\";\n\nimport { useState, useEffect, useCallback } from \"react\";\nimport { useTranslation } from \"react-i18next\";\nimport { App } from \"antd\";\n\nimport { useDeployment } from \"@/components/providers/deploymentProvider\";\nimport { useQueryClient } from \"@tanstack/react-query\";\nimport { authService } from \"@/services/authService\";\nimport { getSessionFromStorage, removeSessionFromStorage, checkSessionValid, hasAuthCookies } from \"@/lib/session\";\nimport { Session, AuthenticationStateReturn } from \"@/types/auth\";\nimport { STATUS_CODES } from \"@/const/auth\";\nimport { authEventUtils } from \"@/lib/authEvents\";\nimport log from \"@/lib/logger\";\n\n/**\n * Custom hook for authentication state management\n * Handles JWT tokens, login/logout, session restoration, and modal states\n */\nexport function useAuthenticationState(): AuthenticationStateReturn {\n  const { t } = useTranslation(\"common\");\n  const { message } = App.useApp();\n  const { isSpeedMode } = useDeployment();\n  const queryClient = useQueryClient();\n\n  // Authentication state\n  const [isAuthenticated, setIsAuthenticated] = useState<boolean>(false);\n  const [isAuthChecking, setIsAuthChecking] = useState<boolean>(true);\n  const [isLoading, setIsLoading] = useState<boolean>(false);\n  const [session, setSession] = useState<Session | null>(null);\n  const [authServiceUnavailable, setAuthServiceUnavailable] =\n    useState<boolean>(false);\n\n  // Speed mode: skip authentication checks, consider user as authenticated\n  useEffect(() => {\n    if (isSpeedMode) {\n      // In speed mode, user is considered authenticated without session\n      setIsAuthenticated(true);\n    } else {\n      if (checkSessionValid()) {\n        const storedSession = getSessionFromStorage();\n        if (storedSession) {\n          setSession(storedSession);\n        }\n        setIsAuthenticated(true);\n      } else {\n        setSession(null);\n        setIsAuthenticated(false);\n      }\n    }\n    setIsAuthChecking(false);\n  }, [isSpeedMode]);\n\n  const clearLocalSession = useCallback(() => {\n    removeSessionFromStorage();\n    setSession(null);\n    setIsAuthenticated(false);\n  }, []);\n\n  // Login method\n  const login = useCallback(\n    async (\n      email: string,\n      password: string,\n      options: { showSuccessMessage?: boolean } = {}\n    ) => {\n      const { showSuccessMessage = true } = options;\n\n      setIsLoading(true);\n\n      try {\n        // First check auth service availability\n        const isAuthServiceAvailable =\n          await authService.checkAuthServiceAvailable();\n        if (!isAuthServiceAvailable) {\n          const error = new Error(t(\"auth.authServiceUnavailable\"));\n          (error as any).code = STATUS_CODES.AUTH_SERVICE_UNAVAILABLE;\n          setAuthServiceUnavailable(true);\n          throw error;\n        }\n\n        setAuthServiceUnavailable(false);\n\n        const { data, error } = await authService.signIn(email, password);\n\n        if (error) {\n          log.error(\"Login failed: \", error.message);\n          throw error;\n        }\n\n        if (data?.session) {\n          // Update authentication state\n          setSession(data.session);\n          setIsAuthenticated(true);\n\n          // Delay to ensure UI updates\n          setTimeout(() => {\n            if (showSuccessMessage) {\n              message.success(t(\"auth.loginSuccess\"));\n            }\n\n            authEventUtils.emitLoginSuccess();\n          }, 150);\n        }\n      } catch (error: any) {\n        log.error(\"Error during login process:\", error.message);\n        throw error;\n      } finally {\n        setIsLoading(false);\n      }\n    },\n    []\n  );\n\n  // Register method\n  const register = useCallback(\n    async (\n      email: string,\n      password: string,\n      inviteCode?: string\n    ) => {\n      setIsLoading(true);\n\n      try {\n        const { data, error } = await authService.signUp(\n          email,\n          password,\n          inviteCode\n        );\n\n        if (error) {\n          log.error(\"Registration failed: \", error.message);\n          throw error;\n        }\n\n        if (data?.session) {\n          setSession(data.session);\n          setIsAuthenticated(true);\n\n          setTimeout(() => {\n            message.success(t(\"auth.registerSuccessAutoLogin\"));\n\n            // Emit register success event to close register modal\n            authEventUtils.emitRegisterSuccess();\n            // Emit login success event for permission fetching\n            authEventUtils.emitLoginSuccess();\n          }, 150);\n        }\n      } catch (error: any) {\n        log.error(\"Error during registration process:\", error.message);\n        throw error;\n      } finally {\n        setIsLoading(false);\n      }\n    },\n    []\n  );\n\n  // Logout method\n  const logout = useCallback(\n    async (options: { silent?: boolean } = {}) => {\n      const { silent = false } = options;\n\n      try {\n        setIsLoading(true);\n\n        if (!silent) {\n          // Call logout API\n          await authService.signOut();\n        }\n\n        // Clear local session\n        removeSessionFromStorage();\n        setSession(null);\n        setIsAuthenticated(false);\n\n        queryClient.clear();\n        if (!silent) {\n          message.success(t(\"auth.logoutSuccess\"));\n        }\n\n        // Emit logout event\n        authEventUtils.emitLogout();\n      } catch (error: any) {\n        log.error(\"Logout failed:\", error?.message || error);\n        // Even if API call fails, clear local session\n        removeSessionFromStorage();\n        setSession(null);\n        setIsAuthenticated(false);\n\n        queryClient.clear();\n        if (!silent) {\n          message.error(t(\"auth.logoutFailed\"));\n        }\n      } finally {\n        setIsLoading(false);\n      }\n    },\n    []\n  );\n\n  // Revoke method\n  const revoke = useCallback(async () => {\n    try {\n      setIsLoading(true);\n\n      await authService.revoke();\n\n      clearLocalSession();\n      message.success(t(\"auth.revokeSuccess\"));\n      queryClient.clear();\n\n      authEventUtils.emitLogout();\n    } catch (error: any) {\n      log.error(\"Revoke failed:\", error?.message || error);\n      message.error(t(\"auth.revokeFailed\"));\n      queryClient.clear();\n    } finally {\n      setIsLoading(false);\n    }\n  }, [clearLocalSession]);\n\n  return {\n    // Authentication state\n    isAuthenticated,\n    isAuthChecking,\n    isLoading,\n    session,\n    authServiceUnavailable,\n\n    // Methods\n    login,\n    register,\n    logout,\n    clearLocalSession,\n    revoke\n  };\n}\n"
  },
  {
    "path": "frontend/hooks/auth/useAuthenticationUI.ts",
    "content": "\"use client\";\n\nimport { useState, useCallback, useRef, useEffect } from \"react\";\nimport { useRouter, usePathname } from \"next/navigation\";\nimport { useTranslation } from \"react-i18next\";\n\nimport { useDeployment } from \"@/components/providers/deploymentProvider\";\nimport { AUTH_EVENTS } from \"@/const/auth\";\nimport { getEffectiveRoutePath } from \"@/lib/auth\";\nimport { authEvents, authEventUtils } from \"@/lib/authEvents\";\nimport { AuthenticationUIReturn } from \"@/types/auth\";\nimport log from \"@/lib/logger\";\n\n/**\n * Custom hook for authentication UI management\n * Handles login/register modals, auth prompt modals, and session expired modal\n * Must be used within AuthenticationProvider\n */\nexport function useAuthenticationUI({\n  isAuthenticated,\n  isAuthChecking,\n  clearLocalSession,\n}: {\n  isAuthenticated: boolean;\n  isAuthChecking: boolean;\n  clearLocalSession: () => void;\n}): AuthenticationUIReturn {\n  const router = useRouter();\n  const pathname = usePathname();\n  const { t } = useTranslation(\"common\");\n  const { isSpeedMode } = useDeployment();\n\n  // UI state for modals - managed locally within the hook\n  const [isLoginModalOpen, setIsLoginModalOpen] = useState(false);\n  const [isRegisterModalOpen, setIsRegisterModalOpen] = useState(false);\n  const [isAuthPromptModalOpen, setIsAuthPromptModalOpen] = useState(false);\n  const [isSessionExpiredModalOpen, setIsSessionExpiredModalOpen] = useState(false);\n\n  const handleUnauthenticatedModalClose = (() => {\n    // Only emit back to home event and redirect if user is not authenticated\n    if (!isAuthenticated && !isSpeedMode) {\n        \n      // Emit event to notify SideNavigation to reset selected key\n      authEventUtils.emitBackToHome();\n      // Redirect to home page if not already there\n      const effectivePath = pathname ? getEffectiveRoutePath(pathname) : \"/\";\n      if (effectivePath !== \"/\") {\n        router.push(\"/\");\n      }\n    }\n  });\n\n  // Modal control functions\n  const openLoginModal = useCallback(() => setIsLoginModalOpen(true), []);\n\n  const closeLoginModal = useCallback(() => {\n    setIsLoginModalOpen(false);\n    handleUnauthenticatedModalClose();\n  }, [handleUnauthenticatedModalClose]);\n\n  const openRegisterModal = useCallback(() => setIsRegisterModalOpen(true), []);\n\n  const closeRegisterModal = useCallback(() => {\n    setIsRegisterModalOpen(false);\n    handleUnauthenticatedModalClose();\n  }, [handleUnauthenticatedModalClose]);\n\n  const openAuthPromptModal = useCallback(() => setIsAuthPromptModalOpen(true), []);\n\n  const closeAuthPromptModal = useCallback(() => {\n    setIsAuthPromptModalOpen(false);\n    handleUnauthenticatedModalClose();\n  }, [handleUnauthenticatedModalClose]);\n\n  const openSessionExpiredModal = useCallback(() => setIsSessionExpiredModalOpen(true), []);\n\n  const closeSessionExpiredModal = useCallback(() => {\n    clearLocalSession();\n    setIsSessionExpiredModalOpen(false);\n    handleUnauthenticatedModalClose();\n  }, [handleUnauthenticatedModalClose]);\n\n  useEffect(() => {\n    if (isSpeedMode) return;\n\n    const handleSessionExpired = () => {\n      setIsSessionExpiredModalOpen(true);\n    };\n\n    const handleRegisterSuccess = () => {\n      setIsRegisterModalOpen(false);\n    };\n\n    // Add event listener using type-safe auth events\n    const cleanup = authEvents.on(\n      AUTH_EVENTS.SESSION_EXPIRED,\n      handleSessionExpired\n    );\n    const cleanupRegister = authEvents.on(\n      AUTH_EVENTS.REGISTER_SUCCESS,\n      handleRegisterSuccess\n    );\n\n    // Return cleanup function\n    return () => {\n      cleanup();\n      cleanupRegister();\n    };\n  }, [isSpeedMode, setIsSessionExpiredModalOpen]);\n\n\n\n  // Route guard for unauthenticated users - check when pathname changes\n  useEffect(() => {\n    if (isSpeedMode) return;\n    // Skip while checking auth state\n    if (isAuthChecking) return;\n    // Skip if user is authenticated\n    if (isAuthenticated) return;\n    // Skip if session expired modal is already showing (avoid duplicate modals)\n    if (isSessionExpiredModalOpen) return;\n    if (isLoginModalOpen) return;\n    if (isRegisterModalOpen) return;\n    openAuthPromptModal();\n  }, [pathname, isAuthenticated, isSpeedMode, isAuthChecking, isSessionExpiredModalOpen, openAuthPromptModal]);\n\n\n  return {\n    // Login/Register Modal\n    isLoginModalOpen,\n    openLoginModal,\n    closeLoginModal,\n    isRegisterModalOpen,\n    openRegisterModal,\n    closeRegisterModal,\n\n    // Auth prompt modal\n    isAuthPromptModalOpen,\n    openAuthPromptModal,\n    closeAuthPromptModal,\n\n    // Session expired modal\n    isSessionExpiredModalOpen,\n    openSessionExpiredModal,\n    closeSessionExpiredModal,\n  };\n}\n"
  },
  {
    "path": "frontend/hooks/auth/useAuthorization.ts",
    "content": "\"use client\";\n\nimport { useState, useEffect, useLayoutEffect, useCallback } from \"react\";\nimport { useQuery } from \"@tanstack/react-query\";\nimport { useRouter, usePathname } from \"next/navigation\";\nimport { User, AuthInfoResponse, AuthorizationContextType } from \"@/types/auth\";\nimport { authService } from \"@/services/authService\";\nimport { authEvents, authzEventUtils } from \"@/lib/authEvents\";\nimport { AUTH_EVENTS} from \"@/const/auth\";\nimport { getEffectiveRoutePath } from \"@/lib/auth\";\nimport log from \"@/lib/logger\";\nimport { useDeployment } from \"@/components/providers/deploymentProvider\";\nimport { checkSessionValid } from \"@/lib/session\";\n\n/**\n * Custom hook for authorization management\n * Handles user permissions, accessible routes, and React Query caching\n */\nexport function useAuthorization(): AuthorizationContextType {\n  const router = useRouter();\n  const pathname = usePathname();\n  const { isSpeedMode } = useDeployment();\n\n  // Authorization state\n  const [user, setUser] = useState<User | null>(null);\n  const [groupIds, setGroupIds] = useState<number[]>([]);\n  const [permissions, setPermissions] = useState<string[]>([]);\n  const [accessibleRoutes, setAccessibleRoutes] = useState<string[]>([]);\n  const [lastCheckedPath, setLastCheckedPath] = useState<string | null>(null);\n  const [isAuthzReady, setIsAuthzReady] = useState(false);\n\n  // Authz prompt modal state\n  const [isAuthzPromptModalOpen, setIsAuthzPromptModalOpen] = useState(false);\n\n  // Query for current user authorization info\n  const {\n    data: currentUserInfo,\n    isLoading,\n    error,\n    refetch,\n  } = useQuery({\n    queryKey: [\"currentUserInfo\"],\n    queryFn: async (): Promise<AuthInfoResponse> => {\n      const result = await authService.getCurrentUserInfo();\n      if (!result) {\n        throw new Error(\"Failed to fetch user info\");\n      }\n      return result;\n    },\n    enabled: false,\n    staleTime: 5 * 60 * 1000,\n    gcTime: 10 * 60 * 1000,\n    // Prevent unnecessary refetches when disabled\n    refetchInterval: false,\n    refetchOnWindowFocus: false,\n    refetchOnMount: false,\n    refetchOnReconnect: false,\n  });\n\n  // Apply authorization data to state\n  const applyAuthzData = useCallback(\n    (data: AuthInfoResponse) => {\n      const { user: userData } = data;\n      if (!userData) {\n        log.warn(\"No user data in authorization response\");\n        return false;\n      }\n\n      const { permissions, accessibleRoutes, groupIds, ...userInfo } = userData;\n      if (!permissions || !accessibleRoutes) {\n        log.warn(\"Missing permissions or accessibleRoutes\", {\n          hasPermissions: !!permissions,\n          hasAccessibleRoutes: !!accessibleRoutes,\n        });\n        return false;\n      }\n\n      setUser(userInfo as User);\n      setGroupIds(groupIds);\n      setPermissions(permissions);\n      setAccessibleRoutes(accessibleRoutes);\n      setIsAuthzReady(true);\n\n      authzEventUtils.emitPermissionsReady({\n        ...userInfo,\n        permissions,\n        accessibleRoutes,\n      });\n\n      return true;\n    },\n    []\n  );\n\n  // Clear authorization data from state\n  const clearAuthzData = useCallback(() => {\n    setUser(null);\n    setGroupIds([]);\n    setPermissions([]);\n    setAccessibleRoutes([]);\n    setIsAuthzReady(false);\n  }, []);\n\n  // Fetch authorization data\n  const fetchAuthzData = useCallback(() => {\n    refetch()\n      .then((result) => {\n        if (result.data && (result.status === 'success' || result.isSuccess)) {\n          applyAuthzData(result.data);\n        }\n      })\n      .catch((err) => {\n        log.error(\"Failed to fetch authorization data:\", err);\n      });\n  }, [refetch, applyAuthzData]);\n\n  // Initialize authorization on mount\n  useEffect(() => {\n\n    // In speed mode, fetch authorization data immediately\n    if (isSpeedMode) {\n      log.info(\"Speed mode: fetching authorization info...\");\n      fetchAuthzData();\n      return;\n    }\n\n    // On page refresh, if there is a valid session in storage,\n    // proactively load authorization info so that user/permissions are ready.\n    if (checkSessionValid()) {\n      log.info(\n        \"Valid session detected on mount, fetching authorization info...\"\n      );\n      fetchAuthzData();\n    }\n  }, [isSpeedMode, fetchAuthzData]);\n\n  // Listen for authentication events\n  useEffect(() => {\n    if (isSpeedMode) return;\n\n    // Handle login success - fetch authorization data\n    const handleLoginSuccess = () => {\n      log.info(\"Login success: fetching authorization info...\");\n      fetchAuthzData();\n    };\n\n    // Handle logout - clear authorization data\n    const handleLogout = () => {\n      log.info(\"User logged out: clearing authorization data...\");\n      clearAuthzData();\n    };\n\n    // Handle session expired - clear authorization data\n    const handleSessionExpired = () => {\n      log.info(\"Session expired: clearing authorization data...\");\n      clearAuthzData();\n    };\n\n    const cleanupLogin = authEvents.on(AUTH_EVENTS.LOGIN_SUCCESS, handleLoginSuccess);\n    const cleanupLogout = authEvents.on(AUTH_EVENTS.LOGOUT, handleLogout);\n    const cleanupSessionExpired = authEvents.on(AUTH_EVENTS.SESSION_EXPIRED, handleSessionExpired);\n\n    return () => {\n      cleanupLogin();\n      cleanupLogout();\n      cleanupSessionExpired();\n    };\n  }, [isSpeedMode, fetchAuthzData, clearAuthzData]);\n\n  // Authz prompt modal control functions\n  const openAuthzPromptModal = useCallback(() => setIsAuthzPromptModalOpen(true), []);\n  const closeAuthzPromptModal = useCallback(() => setIsAuthzPromptModalOpen(false), []);\n\n  // Check if current route has access\n  const cleanPath = getEffectiveRoutePath(pathname);\n  const hasAccess = accessibleRoutes.includes(cleanPath);\n\n  // Route guard\n  useLayoutEffect(() => {\n    if (isLoading || !user || accessibleRoutes.length === 0 || pathname === lastCheckedPath) {\n      return;\n    }\n\n    if (!hasAccess) {\n      log.warn(\"Access denied to route:\", { pathname: cleanPath, accessibleRoutes });\n      if (user) {\n        openAuthzPromptModal();\n      }\n      setTimeout(() => {\n        router.replace(\"/\");\n      }, 0);\n      return;\n    }\n\n    setLastCheckedPath(pathname);\n  }, [pathname, isLoading, user, accessibleRoutes, lastCheckedPath, hasAccess, cleanPath, router, openAuthzPromptModal]);\n\n  // Permission checking utilities\n  const hasPermission = useCallback((permission: string): boolean => {\n    return permissions.includes(permission);\n  }, [permissions]);\n\n  const hasAnyPermission = useCallback((requiredPermissions: string[]): boolean => {\n    return requiredPermissions.some((p) => permissions.includes(p));\n  }, [permissions]);\n\n  const canAccessRoute = useCallback((route: string): boolean => {\n    return accessibleRoutes.includes(route);\n  }, [accessibleRoutes]);\n\n  return {\n    user,\n    groupIds,\n    permissions,\n    accessibleRoutes,\n    isLoading,\n    error: error as Error | null,\n    isAuthorized: !isLoading && !!user && hasAccess,\n    isAuthzReady,\n    refetch,\n    hasPermission,\n    hasAnyPermission,\n    canAccessRoute,\n    isAuthzPromptModalOpen,\n    openAuthzPromptModal,\n    closeAuthzPromptModal,\n  };\n}\n"
  },
  {
    "path": "frontend/hooks/auth/useSessionManager.ts",
    "content": "\"use client\";\n\nimport { useCallback, useEffect, useRef } from \"react\";\n\nimport { useDeployment } from \"@/components/providers/deploymentProvider\";\nimport { sessionService } from \"@/services/sessionService\";\nimport {\n  getTokenExpiresAt,\n  hasAuthCookies,\n  checkSessionValid,\n  handleSessionExpired,\n} from \"@/lib/session\";\nimport {\n  TOKEN_REFRESH_BEFORE_EXPIRY_MS,\n  MIN_ACTIVITY_CHECK_INTERVAL_MS,\n} from \"@/const/constants\";\nimport log from \"@/lib/logger\";\n\n/**\n * Check if token is expiring soon (within threshold).\n * Reads expires_at from the non-HttpOnly cookie.\n */\nexport const isSessionExpiringSoon = (): boolean => {\n  const expiresAt = getTokenExpiresAt();\n  if (expiresAt === null) return false;\n\n  const now = Date.now();\n  const msUntilExpiry = expiresAt * 1000 - now;\n\n  return msUntilExpiry > 0 && msUntilExpiry <= TOKEN_REFRESH_BEFORE_EXPIRY_MS;\n};\n\n/**\n * Refresh session via server.js BFF layer.\n * refresh_token is sent automatically via HttpOnly cookie.\n * server.js updates the cookies on success.\n */\nexport const refreshSession = async (): Promise<boolean> => {\n  if (!hasAuthCookies()) {\n    return false;\n  }\n\n  const newSession = await sessionService.refreshToken();\n  if (newSession) {\n    log.info(\"Session refreshed successfully\");\n    return true;\n  }\n\n  log.warn(\"Session refresh failed\");\n  return false;\n};\n\n// ============================================================================\n// Hook implementation\n// ============================================================================\n\nexport function useSessionManager() {\n  const { isSpeedMode, isDeploymentReady } = useDeployment();\n  const reconcileExpiryRef = useRef<() => void>(() => {});\n\n  useEffect(() => {\n    if (isSpeedMode || !isDeploymentReady) return;\n\n    if (!hasAuthCookies()) {\n      return;\n    }\n\n    if (checkSessionValid()) {\n      return;\n    }\n\n    handleSessionExpired();\n  }, [isSpeedMode, isDeploymentReady]);\n\n  /**\n   * Proactive session expiry watcher\n   * Triggers session-expired even if user does not make any API request\n   */\n  useEffect(() => {\n    if (isSpeedMode || !isDeploymentReady) return;\n\n    let timeoutId: number | null = null;\n    let intervalId: number | null = null;\n\n    const clearTimers = () => {\n      if (timeoutId !== null) {\n        window.clearTimeout(timeoutId);\n        timeoutId = null;\n      }\n      if (intervalId !== null) {\n        window.clearInterval(intervalId);\n        intervalId = null;\n      }\n    };\n\n    const scheduleExpiryCheck = () => {\n      clearTimers();\n\n      const expiresAt = getTokenExpiresAt();\n      if (expiresAt === null) {\n        return;\n      }\n\n      const now = Date.now();\n      const delayMs = expiresAt * 1000 - now;\n\n      if (delayMs <= 0) {\n        handleSessionExpired();\n        return;\n      }\n\n      timeoutId = window.setTimeout(() => {\n        if (!checkSessionValid()) {\n          handleSessionExpired();\n        }\n      }, delayMs);\n\n      // Reschedule periodically to account for token refresh extending expires_at\n      const capturedExpiresAt = expiresAt;\n      intervalId = window.setInterval(() => {\n        const currentExpiresAt = getTokenExpiresAt();\n        if (currentExpiresAt === null) {\n          clearTimers();\n          return;\n        }\n        if (!checkSessionValid()) {\n          handleSessionExpired();\n          return;\n        }\n        if (currentExpiresAt !== capturedExpiresAt) {\n          scheduleExpiryCheck();\n        }\n      }, 30_000);\n    };\n\n    const reconcileExpiry = () => {\n      if (typeof document !== \"undefined\" && document.hidden) return;\n      if (!checkSessionValid() && hasAuthCookies()) {\n        handleSessionExpired();\n        return;\n      }\n      scheduleExpiryCheck();\n    };\n\n    reconcileExpiryRef.current = reconcileExpiry;\n    scheduleExpiryCheck();\n\n    return () => {\n      reconcileExpiryRef.current = () => {};\n      clearTimers();\n    };\n  }, [isSpeedMode, isDeploymentReady]);\n\n  /**\n   * Setup automatic token refresh on user activity\n   * Refreshes token before expiry to implement sliding expiration\n   */\n  const setupTokenAutoRefresh = useCallback(() => {\n    if (isSpeedMode) return () => {};\n\n    let lastActivityCheckAt = 0;\n\n    const maybeRefreshOnActivity = async () => {\n      try {\n        reconcileExpiryRef.current();\n\n        const now = Date.now();\n        if (now - lastActivityCheckAt < MIN_ACTIVITY_CHECK_INTERVAL_MS) return;\n        lastActivityCheckAt = now;\n\n        if (typeof document !== \"undefined\" && document.hidden) return;\n\n        if (isSessionExpiringSoon()) {\n          const success = await refreshSession();\n\n          if (!success) {\n            log.debug(\"Token refresh failed, waiting for 401 from backend\");\n          }\n        }\n      } catch (error) {\n        log.error(\"Activity-based refresh check failed:\", error);\n      }\n    };\n\n    const events: (keyof DocumentEventMap | keyof WindowEventMap)[] = [\n      \"click\",\n      \"keydown\",\n      \"mousemove\",\n      \"touchstart\",\n      \"focus\",\n      \"visibilitychange\",\n    ];\n\n    const handler = () => {\n      void maybeRefreshOnActivity();\n    };\n\n    events.forEach((evt) => {\n      if (evt === \"focus\" || evt === \"visibilitychange\") {\n        window.addEventListener(evt as any, handler, { passive: true });\n      } else {\n        document.addEventListener(evt as any, handler, { passive: true });\n      }\n    });\n\n    return () => {\n      events.forEach((evt) => {\n        if (evt === \"focus\" || evt === \"visibilitychange\") {\n          window.removeEventListener(evt as any, handler);\n        } else {\n          document.removeEventListener(evt as any, handler);\n        }\n      });\n    };\n  }, [isSpeedMode]);\n\n  useEffect(() => {\n    const cleanupAutoRefresh = setupTokenAutoRefresh();\n    return () => {\n      cleanupAutoRefresh?.();\n    };\n  }, [setupTokenAutoRefresh]);\n\n  return {\n    isSessionExpiringSoon,\n    refreshSession,\n    setupTokenAutoRefresh,\n  };\n}\n"
  },
  {
    "path": "frontend/hooks/chat/useConversationManagement.ts",
    "content": "import type React from \"react\";\nimport { useState } from \"react\";\nimport { useTranslation } from \"react-i18next\";\nimport type { UseQueryResult } from \"@tanstack/react-query\";\nimport { useQuery, useQueryClient } from \"@tanstack/react-query\";\nimport { conversationService } from \"@/services/conversationService\";\nimport { ConversationListItem } from \"@/types/chat\";\nimport log from \"@/lib/logger\";\n\nconst CONVERSATION_LIST_QUERY_KEY = [\"conversations\"] as const;\n\n/**\n * Return type of useConversationManagement hook.\n * Use this type when passing conversation management state/handlers between parent and child components.\n */\nexport interface ConversationManagement {\n  conversationTitle: string;\n  conversationList: ConversationListItem[];\n  selectedConversationId: number | null;\n  isNewConversation: boolean;\n  conversationLoadError: Record<number, string>;\n  conversationListQuery: UseQueryResult<ConversationListItem[], Error>;\n  fetchConversationList: () => Promise<ConversationListItem[]>;\n  invalidateConversationList: () => void;\n  handleNewConversation: () => void;\n  handleConversationSelect: (conversation: ConversationListItem) => Promise<void>;\n  updateConversationTitle: (conversationId: number, title: string) => Promise<void>;\n  clearConversationLoadError: (conversationId: number) => void;\n  setConversationLoadErrorForId: (conversationId: number, error: string) => void;\n  setSelectedConversationId: React.Dispatch<React.SetStateAction<number | null>>;\n  setConversationTitle: React.Dispatch<React.SetStateAction<string>>;\n  setIsNewConversation: React.Dispatch<React.SetStateAction<boolean>>;\n}\n\nexport const useConversationManagement = (): ConversationManagement => {\n  const { t } = useTranslation(\"common\");\n  const queryClient = useQueryClient();\n\n  const conversationListQuery = useQuery({\n    queryKey: CONVERSATION_LIST_QUERY_KEY,\n    queryFn: async (): Promise<ConversationListItem[]> => {\n      const dialogHistory = await conversationService.getList();\n      dialogHistory.sort((a, b) => b.create_time - a.create_time);\n      return dialogHistory;\n    },\n    staleTime: 30_000,\n  });\n\n  const conversationList = conversationListQuery.data ?? [];\n\n  const fetchConversationList = async (): Promise<ConversationListItem[]> => {\n    const result = await conversationListQuery.refetch();\n    if (result.error) {\n      log.error(t(\"chatInterface.errorFetchingConversationList\"), result.error);\n      throw result.error;\n    }\n    return result.data ?? [];\n  };\n\n  const invalidateConversationList = () => queryClient.invalidateQueries({ queryKey: CONVERSATION_LIST_QUERY_KEY });\n\n  // Conversation state: null = no selection / new conversation, number = current conversation id\n  const [conversationTitle, setConversationTitle] = useState(t(\"chatInterface.newConversation\"));\n  const [selectedConversationId, setSelectedConversationId] = useState<number | null>(null);\n  const [isNewConversation, setIsNewConversation] = useState(true);\n  const [conversationLoadError, setConversationLoadError] = useState<{[conversationId: number]: string;}>({});\n\n  // Refs\n\n  // Handle new conversation\n  const handleNewConversation = () => {\n    setSelectedConversationId(null);\n    setConversationTitle(t(\"chatInterface.newConversation\"));\n    setIsNewConversation(true);\n  };\n\n  // Handle conversation selection\n  const handleConversationSelect = async (conversation: ConversationListItem) => {\n    setSelectedConversationId(conversation.conversation_id);\n    setConversationTitle(conversation.conversation_title);\n    setIsNewConversation(false);\n  };\n\n  // Update conversation title\n  const updateConversationTitle = async (conversationId: number, title: string) => {\n    try {\n      await conversationService.rename(conversationId, title);\n      await fetchConversationList();\n\n      if (selectedConversationId === conversationId) {\n        setConversationTitle(title);\n      }\n    } catch (error) {\n      log.error(t(\"chatInterface.errorUpdatingTitle\"), error);\n    }\n  };\n\n\n  // Clear conversation load error\n  const clearConversationLoadError = (conversationId: number) => {\n    setConversationLoadError((prev) => {\n      const newErrors = { ...prev };\n      delete newErrors[conversationId];\n      return newErrors;\n    });\n  };\n\n  // Set conversation load error\n  const setConversationLoadErrorForId = (conversationId: number, error: string) => {\n    setConversationLoadError((prev) => ({\n      ...prev,\n      [conversationId]: error,\n    }));\n  };\n\n  return {\n    // State (read-only)\n    conversationTitle,\n    conversationList,\n    selectedConversationId,\n    isNewConversation,\n    conversationLoadError,\n    conversationListQuery,\n\n    // Methods\n    fetchConversationList,\n    invalidateConversationList,\n    handleNewConversation,\n    handleConversationSelect,\n    updateConversationTitle,\n    clearConversationLoadError,\n    setConversationLoadErrorForId,\n\n    // Setters (for internal use by components)\n    setSelectedConversationId,\n    setConversationTitle,\n    setIsNewConversation,\n  };\n};\n"
  },
  {
    "path": "frontend/hooks/group/useGroupList.ts",
    "content": "import { useQuery } from \"@tanstack/react-query\";\nimport { listGroups } from \"@/services/groupService\";\n\nexport function useGroupList(tenantId: string | null, page?: number, pageSize?: number) {\n  return useQuery({\n    queryKey: [\"groups\", tenantId, page, pageSize],\n    queryFn: () => listGroups(tenantId!, page, pageSize),\n    enabled: tenantId !== null,\n    staleTime: 1000 * 30,\n    refetchOnMount: 'always', // Always refetch when component mounts (e.g., when switching tabs)\n  });\n}\n"
  },
  {
    "path": "frontend/hooks/invitation/useInvitationList.ts",
    "content": "import { useQuery } from \"@tanstack/react-query\";\nimport { listInvitations } from \"@/services/invitationService\";\nimport type { InvitationListRequest } from \"@/services/invitationService\";\n\nexport function useInvitationList(request: InvitationListRequest) {\n  return useQuery({\n    queryKey: [\"invitations\", request.tenant_id, request.page, request.page_size, request.sort_by, request.sort_order],\n    queryFn: () => listInvitations(request),\n    enabled: true, // Always enabled since tenant_id is optional\n    staleTime: 1000 * 30,\n    refetchOnMount: 'always', // Always refetch when component mounts (e.g., when switching tabs)\n  });\n}\n"
  },
  {
    "path": "frontend/hooks/knowledge/useKnowledgeList.ts",
    "content": "import { useQuery, useQueryClient } from \"@tanstack/react-query\";\nimport knowledgeBaseService from \"@/services/knowledgeBaseService\";\n\nexport function useKnowledgeList(tenantId: string | null) {\n  const queryClient = useQueryClient();\n\n  return useQuery({\n    queryKey: [\"knowledgeBases\", tenantId],\n    queryFn: async () => {\n      const result = await knowledgeBaseService.getKnowledgeBasesInfo(false, true, tenantId ?? undefined);\n      // Sort by updatedAt descending\n      return result.knowledgeBases.sort((a, b) => {\n        const dateA = a.updatedAt ? new Date(a.updatedAt).getTime() : 0;\n        const dateB = b.updatedAt ? new Date(b.updatedAt).getTime() : 0;\n        return dateB - dateA;\n      });\n    },\n    enabled: !!tenantId,\n    refetchOnMount: \"always\",\n  });\n}\n"
  },
  {
    "path": "frontend/hooks/mcp/useMcpContainerList.ts",
    "content": "import { useCallback } from \"react\";\nimport { useQuery, useQueryClient } from \"@tanstack/react-query\";\nimport { getMcpContainers } from \"@/services/mcpService\";\nimport { McpContainer } from \"@/types/agentConfig\";\n\nexport const MCP_CONTAINERS_QUERY_KEY = [\"mcp\", \"containers\"] as const;\n\nexport function useMcpContainerList(options?: { enabled?: boolean; staleTime?: number; tenantId?: string | null }) {\n  const queryClient = useQueryClient();\n\n  const fetchContainerList = useCallback(async () => {\n    const res = await getMcpContainers(options?.tenantId);\n    if (!res || !res.success) {\n      throw new Error(res?.message || \"Failed to load MCP container list\");\n    }\n    return res;\n  }, [options?.tenantId]);\n\n  const query = useQuery({\n    queryKey: [...MCP_CONTAINERS_QUERY_KEY, options?.tenantId],\n    queryFn: fetchContainerList,\n    staleTime: options?.staleTime ?? 60_000,\n    enabled: options?.enabled ?? true,\n  });\n\n  const containerList = (query.data?.data ?? []) as McpContainer[];\n\n  return {\n    ...query,\n    containerList,\n    invalidate: () => queryClient.invalidateQueries({ queryKey: MCP_CONTAINERS_QUERY_KEY }),\n  };\n}\n\n"
  },
  {
    "path": "frontend/hooks/mcp/useMcpServerList.ts",
    "content": "import { useCallback } from \"react\";\nimport { useQuery, useQueryClient } from \"@tanstack/react-query\";\nimport { getMcpServerList } from \"@/services/mcpService\";\nimport { McpServer } from \"@/types/agentConfig\";\n\nexport const MCP_SERVERS_QUERY_KEY = [\"mcp\", \"servers\"] as const;\n\nexport function useMcpServerList(options?: { enabled?: boolean; staleTime?: number; tenantId?: string | null }) {\n  const queryClient = useQueryClient();\n\n  const fetchServerList = useCallback(async () => {\n    const res = await getMcpServerList(options?.tenantId);\n    if (!res || !res.success) {\n      throw new Error(res?.message || \"Failed to load MCP server list\");\n    }\n    return res;\n  }, [options?.tenantId]);\n\n  const query = useQuery({\n    queryKey: [...MCP_SERVERS_QUERY_KEY, options?.tenantId],\n    queryFn: fetchServerList,\n    staleTime: options?.staleTime ?? 60_000,\n    enabled: options?.enabled ?? true,\n  });\n\n  const serverList = (query.data?.data ?? []) as McpServer[];\n  const enableUploadImage = Boolean(query.data?.enable_upload_image);\n\n  return {\n    ...query,\n    serverList,\n    enableUploadImage,\n    invalidate: () => queryClient.invalidateQueries({ queryKey: MCP_SERVERS_QUERY_KEY }),\n  };\n}\n\n"
  },
  {
    "path": "frontend/hooks/model/useDashscopeModelList.ts",
    "content": "import { useEffect } from \"react\";\nimport { message } from \"antd\";\nimport { useTranslation } from \"react-i18next\";\nimport { modelService } from \"@/services/modelService\";\nimport { ModelType } from \"@/types/modelConfig\";\nimport { processProviderResponse } from \"@/lib/providerError\";\nimport log from \"@/lib/logger\";\n\ninterface UseDashscopeModelListProps {\n  form: {\n    type: ModelType;\n    isBatchImport: boolean;\n    apiKey: string;\n    provider: string; // Expected to be \"dashscope\"\n    maxTokens: string;\n    isMultimodal: boolean;\n  };\n  setModelList: (models: any[]) => void;\n  setSelectedModelIds: (ids: Set<string>) => void;\n  setShowModelList: (show: boolean) => void;\n  setLoadingModelList: (loading: boolean) => void;\n  tenantId?: string; // Optional tenant ID for manage operations\n}\n\nexport const useDashscopeModelList = ({\n  form,\n  setModelList,\n  setSelectedModelIds,\n  setShowModelList,\n  setLoadingModelList,\n  tenantId,\n}: UseDashscopeModelListProps) => {\n  const { t } = useTranslation();\n\n  const getModelList = async () => {\n    setShowModelList(true);\n    setLoadingModelList(true);\n\n    const modelType =\n      form.type === \"embedding\" && form.isMultimodal\n        ? (\"multi_embedding\" as ModelType)\n        : form.type;\n\n    try {\n      // Use manage interface if tenantId is provided (for super admin)\n      const result = tenantId\n        ? await modelService.addManageProviderModel({\n            tenantId,\n            provider: form.provider,\n            type: modelType,\n            apiKey: form.apiKey.trim() === \"\" ? \"sk-no-api-key\" : form.apiKey,\n          })\n        : await modelService.addProviderModel({\n            provider: form.provider,\n            type: modelType,\n            apiKey: form.apiKey.trim() === \"\" ? \"sk-no-api-key\" : form.apiKey,\n          });\n\n      // Use centralized error processing\n      const { models, error } = processProviderResponse(\n        result,\n        form.provider,\n        t\n      );\n\n      if (error) {\n        message.error(error);\n        setModelList([]);\n        setSelectedModelIds(new Set());\n        setLoadingModelList(false);\n        return;\n      }\n\n      // Ensure each model has a default max_tokens value\n      const modelsWithDefaults = models.map((model: any) => ({\n        ...model,\n        max_tokens: model.max_tokens || parseInt(form.maxTokens) || 4096,\n      }));\n      setModelList(modelsWithDefaults);\n\n      const selectedModels = (await getProviderSelectedModalList()) || [];\n\n      // Key logic: Sync previously selected models\n      if (!selectedModels.length) {\n        // Select none\n        setSelectedModelIds(new Set());\n      } else {\n        // Only select selectedModels\n        setSelectedModelIds(new Set(selectedModels.map((m: any) => m.id)));\n      }\n    } catch (error) {\n      message.error(t(\"model.dialog.error.addFailed\", { error }));\n      log.error(t(\"model.dialog.error.addFailedLog\"), error);\n    } finally {\n      setLoadingModelList(false);\n    }\n  };\n\n  const getProviderSelectedModalList = async () => {\n    const modelType =\n      form.type === \"embedding\" && form.isMultimodal\n        ? (\"multi_embedding\" as ModelType)\n        : form.type;\n\n    // Use manage interface if tenantId is provided (for super admin)\n    const result = tenantId\n      ? await modelService.getManageProviderSelectedModalList({\n          tenantId,\n          provider: form.provider,\n          type: modelType,\n        })\n      : await modelService.getProviderSelectedModalList({\n          provider: form.provider,\n          type: modelType,\n          api_key: form.apiKey.trim() === \"\" ? \"sk-no-api-key\" : form.apiKey,\n        });\n\n    return result;\n  };\n\n  // Auto-fetch model list when batch import is enabled and API key is provided\n  useEffect(() => {\n    if (form.isBatchImport && form.apiKey.trim() !== \"\") {\n      getModelList();\n    }\n    // eslint-disable-next-line react-hooks/exhaustive-deps\n  }, [form.type, form.isBatchImport]);\n\n  return {\n    getModelList,\n    getProviderSelectedModalList,\n  };\n};\n"
  },
  {
    "path": "frontend/hooks/model/useManageTenantModels.ts",
    "content": "import { useQuery } from \"@tanstack/react-query\";\nimport { modelService } from \"@/services/modelService\";\nimport { ModelOption } from \"@/types/modelConfig\";\n\nexport interface ManageTenantModelResult {\n  models: ModelOption[];\n  total: number;\n  page: number;\n  pageSize: number;\n  totalPages: number;\n  tenantName: string;\n  isLoading: boolean;\n  isError: boolean;\n  error: Error | null;\n  refetch: () => Promise<void>;\n}\n\nexport function useManageTenantModels(options: {\n  tenantId: string;\n  modelType?: string;\n  page?: number;\n  pageSize?: number;\n  enabled?: boolean;\n}): ManageTenantModelResult {\n  const { tenantId, modelType, page = 1, pageSize = 20, enabled = true } = options;\n\n  const query = useQuery({\n    queryKey: [\"manage-tenant-models\", tenantId, modelType, page, pageSize],\n    queryFn: async (): Promise<{\n      models: ModelOption[];\n      total: number;\n      page: number;\n      pageSize: number;\n      totalPages: number;\n      tenantName: string;\n    }> => {\n      const result = await modelService.getManageTenantModels({\n        tenantId,\n        modelType,\n        page,\n        pageSize,\n      });\n      return result;\n    },\n    enabled: enabled && !!tenantId,\n    staleTime: 30_000, // 30 seconds default\n  });\n\n  return {\n    models: query.data?.models ?? [],\n    total: query.data?.total ?? 0,\n    page: query.data?.page ?? 1,\n    pageSize: query.data?.pageSize ?? 20,\n    totalPages: query.data?.totalPages ?? 0,\n    tenantName: query.data?.tenantName ?? \"\",\n    isLoading: query.isLoading,\n    isError: query.isError,\n    error: query.error as Error | null,\n    refetch: async () => {\n      await query.refetch();\n    },\n  };\n}\n\n"
  },
  {
    "path": "frontend/hooks/model/useModelList.ts",
    "content": "import { useQuery, useQueryClient } from \"@tanstack/react-query\";\nimport { modelService } from \"@/services/modelService\";\nimport { ModelOption } from \"@/types/modelConfig\";\nimport { useMemo } from \"react\";\nexport function useModelList(options?: { enabled?: boolean; staleTime?: number }) {\n\tconst queryClient = useQueryClient();\n\n\tconst query = useQuery({\n\t\tqueryKey: [\"models\"],\n\t\tqueryFn: async (): Promise<ModelOption[]> => {\n\t\t\tconst models = await modelService.getAllModels();\n\t\t\treturn models;\n\t\t},\n\t\tstaleTime: options?.staleTime ?? 60_000, // 1 minute default\n\t\tenabled: options?.enabled ?? true,\n\t});\n\n\tconst models = query.data ?? [];\n\n\t// Filter models by type for convenience\n\tconst llmModels = useMemo(() => {\n\t\treturn models.filter((model) => model.type === \"llm\");\n\t}, [models]);\n\n\tconst availableModels = useMemo(() => {\n\t\treturn models.filter((model) => model.connect_status === \"available\");\n\t}, [models]);\n\n\tconst availableLlmModels = useMemo(() => {\n\t\treturn models.filter((model) => model.type === \"llm\" && model.connect_status === \"available\");\n\t}, [models]);\n\n\tconst embeddingModels = useMemo(() => {\n\t\treturn models.filter((model) => model.type === \"embedding\");\n\t}, [models]);\n\n\tconst availableEmbeddingModels = useMemo(() => {\n\t\treturn models.filter((model) => model.type === \"embedding\" && model.connect_status === \"available\");\n\t}, [models]);\n\n\tconst vlmModels = useMemo(() => {\n\t\treturn models.filter((model) => model.type === \"vlm\");\n\t}, [models]);\n\n\tconst availableVlmModels = useMemo(() => {\n\t\treturn models.filter((model) => model.type === \"vlm\" && model.connect_status === \"available\");\n\t}, [models]);\n\n\treturn {\n\t\t...query,\n\t\tmodels,\n\t\tllmModels,\n\t\tavailableModels,\n\t\tavailableLlmModels,\n\t\tembeddingModels,\n\t\tavailableEmbeddingModels,\n\t\tvlmModels,\n\t\tavailableVlmModels,\n\t\tinvalidate: () => queryClient.invalidateQueries({ queryKey: [\"models\"] }),\n\t};\n}\n"
  },
  {
    "path": "frontend/hooks/model/useSiliconModelList.ts",
    "content": "import { useEffect } from \"react\";\nimport { message } from \"antd\";\nimport { useTranslation } from \"react-i18next\";\nimport { modelService } from \"@/services/modelService\";\nimport { ModelType } from \"@/types/modelConfig\";\nimport { processProviderResponse } from \"@/lib/providerError\";\nimport log from \"@/lib/logger\";\n\ninterface UseSiliconModelListProps {\n  form: {\n    type: ModelType;\n    isBatchImport: boolean;\n    apiKey: string;\n    provider: string;\n    maxTokens: string;\n    isMultimodal: boolean;\n  };\n  setModelList: (models: any[]) => void;\n  setSelectedModelIds: (ids: Set<string>) => void;\n  setShowModelList: (show: boolean) => void;\n  setLoadingModelList: (loading: boolean) => void;\n  tenantId?: string; // Optional tenant ID for manage operations\n}\n\nexport const useSiliconModelList = ({\n  form,\n  setModelList,\n  setSelectedModelIds,\n  setShowModelList,\n  setLoadingModelList,\n  tenantId,\n}: UseSiliconModelListProps) => {\n  const { t } = useTranslation();\n\n  const getModelList = async () => {\n    setShowModelList(true);\n    setLoadingModelList(true);\n    const modelType =\n      form.type === \"embedding\" && form.isMultimodal\n        ? (\"multi_embedding\" as ModelType)\n        : form.type;\n    try {\n      // Use manage interface if tenantId is provided (for super admin)\n      const result = tenantId\n        ? await modelService.addManageProviderModel({\n            tenantId,\n            provider: form.provider,\n            type: modelType,\n            apiKey: form.apiKey.trim() === \"\" ? \"sk-no-api-key\" : form.apiKey,\n            baseUrl:\n              form.provider === \"modelengine\" && form.apiKey.trim() !== \"\"\n                ? (form as any).modelEngineUrl || \"\"\n                : undefined,\n          })\n        : await modelService.addProviderModel({\n            provider: form.provider,\n            type: modelType,\n            apiKey: form.apiKey.trim() === \"\" ? \"sk-no-api-key\" : form.apiKey,\n            baseUrl:\n              form.provider === \"modelengine\" && form.apiKey.trim() !== \"\"\n                ? (form as any).modelEngineUrl || \"\"\n                : undefined,\n          });\n\n      // Use centralized error processing\n      const { models, error } = processProviderResponse(\n        result,\n        form.provider,\n        t\n      );\n\n      if (error) {\n        message.error(error);\n        setModelList([]);\n        setSelectedModelIds(new Set());\n        setLoadingModelList(false);\n        return;\n      }\n\n      // Ensure each model has a default max_tokens value\n      const modelsWithDefaults = models.map((model: any) => ({\n        ...model,\n        max_tokens: model.max_tokens || parseInt(form.maxTokens) || 4096,\n      }));\n      setModelList(modelsWithDefaults);\n\n      const selectedModels = (await getProviderSelectedModalList()) || [];\n      // Key logic\n      if (!selectedModels.length) {\n        // Select none\n        setSelectedModelIds(new Set());\n      } else {\n        // Only select selectedModels\n        setSelectedModelIds(new Set(selectedModels.map((m: any) => m.id)));\n      }\n    } catch (error) {\n      message.error(t(\"model.dialog.error.addFailed\", { error }));\n      log.error(t(\"model.dialog.error.addFailedLog\"), error);\n    } finally {\n      setLoadingModelList(false);\n    }\n  };\n\n  const getProviderSelectedModalList = async () => {\n    const modelType =\n      form.type === \"embedding\" && form.isMultimodal\n        ? (\"multi_embedding\" as ModelType)\n        : form.type;\n    // Use manage interface if tenantId is provided (for super admin)\n    const result = tenantId\n      ? await modelService.getManageProviderSelectedModalList({\n          tenantId,\n          provider: form.provider,\n          type: modelType,\n        })\n      : await modelService.getProviderSelectedModalList({\n          provider: form.provider,\n          type: modelType,\n          api_key: form.apiKey.trim() === \"\" ? \"sk-no-api-key\" : form.apiKey,\n          baseUrl:\n            form.provider === \"modelengine\" && form.apiKey.trim() !== \"\"\n              ? (form as any).modelEngineUrl || \"\"\n              : undefined,\n        });\n    return result;\n  };\n\n  // Auto-fetch model list when batch import is enabled and API key is provided\n  useEffect(() => {\n    const requiresUrl =\n      form.provider === \"modelengine\"\n        ? ((form as any).modelEngineUrl || \"\").toString().trim() !== \"\"\n        : true;\n\n    if (form.isBatchImport && form.apiKey.trim() !== \"\" && requiresUrl) {\n      getModelList();\n    }\n    // eslint-disable-next-line react-hooks/exhaustive-deps\n  }, [form.type, form.isBatchImport]);\n\n  return {\n    getModelList,\n    getProviderSelectedModalList,\n  };\n};\n"
  },
  {
    "path": "frontend/hooks/model/useTokenponyModelList.ts",
    "content": "import { useEffect } from \"react\";\nimport { message } from \"antd\";\nimport { useTranslation } from \"react-i18next\";\nimport { modelService } from \"@/services/modelService\";\nimport { ModelType } from \"@/types/modelConfig\";\nimport { processProviderResponse } from \"@/lib/providerError\";\nimport log from \"@/lib/logger\";\n\ninterface UseTokenPonyModelListProps {\n  form: {\n    type: ModelType;\n    isBatchImport: boolean;\n    apiKey: string;\n    provider: string; // Expected to be \"tokenpony\"\n    maxTokens: string;\n    isMultimodal: boolean;\n  };\n  setModelList: (models: any[]) => void;\n  setSelectedModelIds: (ids: Set<string>) => void;\n  setShowModelList: (show: boolean) => void;\n  setLoadingModelList: (loading: boolean) => void;\n  tenantId?: string; // Optional tenant ID for manage operations\n}\n\nexport const useTokenPonyModelList = ({\n  form,\n  setModelList,\n  setSelectedModelIds,\n  setShowModelList,\n  setLoadingModelList,\n  tenantId,\n}: UseTokenPonyModelListProps) => {\n  const { t } = useTranslation();\n\n  const getModelList = async () => {\n    setShowModelList(true);\n    setLoadingModelList(true);\n\n    const modelType =\n      form.type === \"embedding\" && form.isMultimodal\n        ? (\"multi_embedding\" as ModelType)\n        : form.type;\n\n    try {\n      // Use manage interface if tenantId is provided (for super admin)\n      const result = tenantId\n        ? await modelService.addManageProviderModel({\n            tenantId,\n            provider: form.provider,\n            type: modelType,\n            apiKey: form.apiKey.trim() === \"\" ? \"sk-no-api-key\" : form.apiKey,\n          })\n        : await modelService.addProviderModel({\n            provider: form.provider,\n            type: modelType,\n            apiKey: form.apiKey.trim() === \"\" ? \"sk-no-api-key\" : form.apiKey,\n          });\n\n      // Use centralized error processing\n      const { models, error } = processProviderResponse(\n        result,\n        form.provider,\n        t\n      );\n\n      if (error) {\n        message.error(error);\n        setModelList([]);\n        setSelectedModelIds(new Set());\n        setLoadingModelList(false);\n        return;\n      }\n\n      // Ensure each model has a default max_tokens value\n      const modelsWithDefaults = models.map((model: any) => ({\n        ...model,\n        max_tokens: model.max_tokens || parseInt(form.maxTokens) || 4096,\n      }));\n      setModelList(modelsWithDefaults);\n\n      const selectedModels = (await getProviderSelectedModalList()) || [];\n\n      // Key logic: Sync previously selected models\n      if (!selectedModels.length) {\n        // Select none\n        setSelectedModelIds(new Set());\n      } else {\n        // Only select selectedModels\n        setSelectedModelIds(new Set(selectedModels.map((m: any) => m.id)));\n      }\n    } catch (error) {\n      message.error(t(\"model.dialog.error.addFailed\", { error }));\n      log.error(t(\"model.dialog.error.addFailedLog\"), error);\n    } finally {\n      setLoadingModelList(false);\n    }\n  };\n\n  const getProviderSelectedModalList = async () => {\n    const modelType =\n      form.type === \"embedding\" && form.isMultimodal\n        ? (\"multi_embedding\" as ModelType)\n        : form.type;\n\n    // Use manage interface if tenantId is provided (for super admin)\n    const result = tenantId\n      ? await modelService.getManageProviderSelectedModalList({\n          tenantId,\n          provider: form.provider,\n          type: modelType,\n        })\n      : await modelService.getProviderSelectedModalList({\n          provider: form.provider,\n          type: modelType,\n          api_key: form.apiKey.trim() === \"\" ? \"sk-no-api-key\" : form.apiKey,\n        });\n\n    return result;\n  };\n\n  // Auto-fetch model list when batch import is enabled and API key is provided\n  useEffect(() => {\n    if (form.isBatchImport && form.apiKey.trim() !== \"\") {\n      getModelList();\n    }\n    // eslint-disable-next-line react-hooks/exhaustive-deps\n  }, [form.type, form.isBatchImport]);\n\n  return {\n    getModelList,\n    getProviderSelectedModalList,\n  };\n};\n"
  },
  {
    "path": "frontend/hooks/permission/usePermission.ts",
    "content": "\"use client\";\n\nimport { useAuthorizationContext } from \"@/components/providers/AuthorizationProvider\";\nimport { useAuthentication } from \"@/hooks/auth/useAuthentication\";\n\nexport function usePermission() {\n  const { hasPermission, hasAnyPermission, isAuthzReady, isLoading } = useAuthorizationContext();\n  const { isAuthenticated } = useAuthentication();\n\n  return {\n    isReady: isAuthzReady,\n    isAuthenticated,\n    isLoading,\n\n    can: (permission: string): boolean => {\n      if (!isAuthenticated || !isAuthzReady) return false;\n      return hasPermission(permission);\n    },\n\n    cannot: (permission: string): boolean => {\n      if (!isAuthenticated || !isAuthzReady) return true;\n      return !hasPermission(permission);\n    },\n\n    canAny: (perms: string[]): boolean => {\n      if (!isAuthenticated || !isAuthzReady) return false;\n      return hasAnyPermission(perms);\n    },\n\n    canAll: (perms: string[]): boolean => {\n      if (!isAuthenticated || !isAuthzReady) return false;\n      return perms.every(p => hasPermission(p));\n    },\n  };\n}\n"
  },
  {
    "path": "frontend/hooks/tenant/useTenantList.ts",
    "content": "import { useQuery } from \"@tanstack/react-query\";\nimport { listTenants, Tenant } from \"@/services/tenantService\";\nimport log from \"@/lib/logger\";\n\nexport interface TenantListResult {\n  data: Tenant[];\n  total: number;\n  page: number;\n  page_size: number;\n  total_pages: number;\n}\n\nexport function useTenantList(params?: { page?: number; page_size?: number }) {\n  return useQuery({\n    queryKey: [\"tenants\", params?.page ?? 1, params?.page_size ?? 20],\n    queryFn: async () => {\n      log.info(\"[useTenantList] Fetching tenants with params:\", params);\n      const result = await listTenants(params);\n      log.info(\"[useTenantList] Received result:\", result);\n      return result;\n    },\n    staleTime: 1000 * 60, // Cache for 1 minute\n  });\n}\n"
  },
  {
    "path": "frontend/hooks/tool/useToolInfo.ts",
    "content": "import { useQuery } from \"@tanstack/react-query\";\nimport { searchToolConfig } from \"@/services/agentConfigService\";\n\nexport function useToolInfo(toolId: number | null, agentId: number | null) {\n\treturn useQuery({\n\t\tqueryKey: [\"toolInfo\", toolId, agentId],\n\t\tqueryFn: async () => {\n\t\t\tif (!toolId || !agentId) return null;\n\t\t\tconst res = await searchToolConfig(toolId, agentId);\n\t\t\tif (!res || !res.success) {\n\t\t\t\tthrow new Error(res?.message || \"Failed to fetch tool info\");\n\t\t\t}\n\t\t\treturn res.data;\n\t\t},\n\t\tenabled: !!toolId && !!agentId,\n\t\tstaleTime: 60_000,\n\t});\n}\n"
  },
  {
    "path": "frontend/hooks/useAgentImport.ts",
    "content": "import { useState } from \"react\";\nimport {\n  checkAgentNameConflictBatch,\n  importAgent,\n  regenerateAgentNameBatch,\n} from \"@/services/agentConfigService\";\nimport log from \"@/lib/logger\";\n\nexport interface ImportAgentData {\n  agent_id: number;\n  agent_info: Record<string, any>;\n  mcp_info?: Array<{\n    mcp_server_name: string;\n    mcp_url: string;\n  }>;\n  business_logic_model_id?: number | null;\n  business_logic_model_name?: string | null;\n}\n\nexport interface UseAgentImportOptions {\n  onSuccess?: () => void;\n  onError?: (error: Error) => void;\n  forceImport?: boolean;\n  /**\n   * Optional: handle name/display_name conflicts before import\n   * Caller can resolve by returning new name or choosing to continue/terminate\n   */\n  onNameConflictResolve?: (payload: {\n    name: string;\n    displayName?: string;\n    conflictAgents: Array<{ id: string; name?: string; display_name?: string }>;\n    regenerateWithLLM: () => Promise<{\n      name?: string;\n      displayName?: string;\n    }>;\n  }) => Promise<{ proceed: boolean; name?: string; displayName?: string }>;\n}\n\nexport interface UseAgentImportResult {\n  isImporting: boolean;\n  importFromFile: (file: File) => Promise<void>;\n  importFromData: (data: ImportAgentData) => Promise<void>;\n  error: Error | null;\n}\n\n/**\n * Unified agent import hook\n * Handles agent import from both file upload and direct data\n * Used in:\n * - Agent development (SubAgentPool)\n * - Agent space (SpaceContent)\n * - Agent market (MarketContent)\n */\nexport function useAgentImport(\n  options: UseAgentImportOptions = {}\n): UseAgentImportResult {\n  const { onSuccess, onError, forceImport = false } = options;\n\n  const [isImporting, setIsImporting] = useState(false);\n  const [error, setError] = useState<Error | null>(null);\n\n  /**\n   * Import agent from uploaded file\n   */\n  const importFromFile = async (file: File): Promise<void> => {\n    setIsImporting(true);\n    setError(null);\n\n    try {\n      // Read file content\n      const fileContent = await readFileAsText(file);\n      \n      // Parse JSON\n      let agentData: ImportAgentData;\n      try {\n        agentData = JSON.parse(fileContent);\n      } catch (parseError) {\n        throw new Error(\"Invalid JSON file format\");\n      }\n\n      // Validate structure\n      if (!agentData.agent_id || !agentData.agent_info) {\n        throw new Error(\"Invalid agent data structure\");\n      }\n\n      // Import using unified logic\n      await importAgentData(agentData);\n      \n      onSuccess?.();\n    } catch (err) {\n      const error = err instanceof Error ? err : new Error(\"Unknown error\");\n      log.error(\"Failed to import agent from file:\", error);\n      setError(error);\n      onError?.(error);\n      throw error;\n    } finally {\n      setIsImporting(false);\n    }\n  };\n\n  /**\n   * Import agent from data object (e.g., from market)\n   */\n  const importFromData = async (data: ImportAgentData): Promise<void> => {\n    setIsImporting(true);\n    setError(null);\n\n    try {\n      // Validate structure\n      if (!data.agent_id || !data.agent_info) {\n        throw new Error(\"Invalid agent data structure\");\n      }\n\n      // Import using unified logic\n      await importAgentData(data);\n      \n      onSuccess?.();\n    } catch (err) {\n      const error = err instanceof Error ? err : new Error(\"Unknown error\");\n      log.error(\"Failed to import agent from data:\", error);\n      setError(error);\n      onError?.(error);\n      throw error;\n    } finally {\n      setIsImporting(false);\n    }\n  };\n\n  /**\n   * Core import logic - calls backend API\n   */\n  const importAgentData = async (data: ImportAgentData): Promise<void> => {\n    // Step 1: check name/display name conflicts before import (only check main agent name and display name)\n    const mainAgent = data.agent_info?.[String(data.agent_id)];\n    if (mainAgent?.name) {\n      const conflictHandled = await ensureNameNotDuplicated(\n        mainAgent.name,\n        mainAgent.display_name,\n        mainAgent.description || mainAgent.business_description\n      );\n\n      if (!conflictHandled.proceed) {\n        throw new Error(\n          \"Agent name/display name conflicts with existing agent; import cancelled.\"\n        );\n      }\n\n      // if user chooses to modify name, write back to import data\n      if (conflictHandled.name) {\n        mainAgent.name = conflictHandled.name;\n      }\n      if (conflictHandled.displayName) {\n        mainAgent.display_name = conflictHandled.displayName;\n      }\n    }\n\n    const result = await importAgent(data, { forceImport });\n    \n    if (!result.success) {\n      throw new Error(result.message || \"Failed to import agent\");\n    }\n  };\n\n  /**\n   * Helper: Read file as text\n   */\n  const readFileAsText = (file: File): Promise<string> => {\n    return new Promise((resolve, reject) => {\n      const reader = new FileReader();\n      \n      reader.onload = (e) => {\n        const content = e.target?.result;\n        if (typeof content === \"string\") {\n          resolve(content);\n        } else {\n          reject(new Error(\"Failed to read file content\"));\n        }\n      };\n      \n      reader.onerror = () => {\n        reject(new Error(\"Failed to read file\"));\n      };\n      \n      reader.readAsText(file);\n    });\n  };\n\n  /**\n   * Frontend side name conflict validation logic\n   */\n  const ensureNameNotDuplicated = async (\n    name: string,\n    displayName?: string,\n    taskDescription?: string\n  ): Promise<{ proceed: boolean; name?: string; displayName?: string }> => {\n    try {\n      const checkResp = await checkAgentNameConflictBatch({\n        items: [\n          {\n            name,\n            display_name: displayName,\n          },\n        ],\n      });\n      if (!checkResp.success || !Array.isArray(checkResp.data)) {\n        log.warn(\"Skip name conflict check due to fetch failure\");\n        return { proceed: true };\n      }\n\n      const first = checkResp.data[0] || {};\n      const { name_conflict, display_name_conflict, conflict_agents } = first;\n\n      if (!name_conflict && !display_name_conflict) {\n        return { proceed: true };\n      }\n\n      const regenerateWithLLM = async () => {\n        const regenResp = await regenerateAgentNameBatch({\n          items: [\n            {\n              name,\n              display_name: displayName,\n              task_description: taskDescription,\n            },\n          ],\n        });\n        if (!regenResp.success || !Array.isArray(regenResp.data) || !regenResp.data[0]) {\n          throw new Error(\"Failed to regenerate agent name\");\n        }\n        const item = regenResp.data[0];\n        return {\n          name: item.name,\n          displayName: item.display_name ?? displayName,\n        };\n      };\n\n      // let caller decide how to handle conflicts (e.g. show a dialog to let user choose whether to let LLM rename)\n      if (options.onNameConflictResolve) {\n        return await options.onNameConflictResolve({\n          name,\n          displayName,\n          conflictAgents: (conflict_agents || []).map((c: any) => ({\n            id: String(c.agent_id ?? c.id),\n            name: c.name,\n            display_name: c.display_name,\n          })),\n          regenerateWithLLM,\n        });\n      }\n\n      // default behavior: directly call backend to rename to keep import available\n      const regenerated = await regenerateWithLLM();\n      return { proceed: true, ...regenerated };\n    } catch (error) {\n      // if callback throws an error, prevent import\n      throw error instanceof Error\n        ? error\n        : new Error(\"Name conflict handling failed\");\n    }\n  };\n\n  return {\n    isImporting,\n    importFromFile,\n    importFromData,\n    error,\n  };\n}\n\n"
  },
  {
    "path": "frontend/hooks/useChatTaskMessage.ts",
    "content": "import { useMemo } from 'react';\n\nimport { MESSAGE_ROLES } from '@/const/chatConfig';\nimport { ChatMessageType, TaskMessageType, MessageGroup, ChatTaskMessageResult } from '@/types/chat';\n\nexport function useChatTaskMessage(messages: ChatMessageType[]): ChatTaskMessageResult {\n  // Filter visible messages\n  const visibleMessages = useMemo(() => \n    messages.filter(message => \n      (message as TaskMessageType).type !== \"final_answer\" && \n      (message as TaskMessageType).type !== \"execution\"\n    ) as TaskMessageType[],\n    [messages]\n  );\n\n  // Group messages\n  const groupedMessages = useMemo(() => {\n    const groups: MessageGroup[] = [];\n    let cardMessages: TaskMessageType[] = [];\n    \n    visibleMessages.forEach(message => {\n      if (message.type === \"card\") {\n        // Collect card messages\n        cardMessages.push(message);\n      } else {\n        // If there is a non-card message before, push it together with the card\n        if (groups.length > 0) {\n          const lastGroup = groups[groups.length - 1];\n          lastGroup.cards = [...cardMessages];\n          cardMessages = []; // Reset card collector\n        }\n        \n        // Add new non-card message\n        groups.push({\n          message,\n          cards: []\n        });\n      }\n    });\n    \n    // Handle remaining cards after the loop\n    if (cardMessages.length > 0) {\n      if (groups.length > 0) {\n        // If there are other messages, append the card to the last message\n        const lastGroup = groups[groups.length - 1];\n        lastGroup.cards = [...cardMessages];\n      } else {\n        // If there is only card message, create a virtual message group\n        groups.push({\n          message: {\n            id: `virtual-${Date.now()}`,\n            role: MESSAGE_ROLES.ASSISTANT,\n            type: \"virtual\",\n            content: \"\",\n            timestamp: new Date()\n          } as TaskMessageType,\n          cards: cardMessages\n        });\n      }\n    }\n\n    return groups;\n  }, [visibleMessages]);\n\n  return {\n    visibleMessages,\n    groupedMessages,\n    hasMessages: messages.length > 0,\n    hasVisibleMessages: visibleMessages.length > 0\n  };\n} "
  },
  {
    "path": "frontend/hooks/useConfig.ts",
    "content": "\"use client\";\n\nimport { useQuery, useQueryClient } from \"@tanstack/react-query\";\nimport { useCallback } from \"react\";\nimport { configService } from \"@/services/configService\";\nimport {\n  GlobalConfig,\n  AppConfig,\n  ModelConfig,\n  SingleModelConfig,\n} from \"@/types/modelConfig\";\nimport { ICON_TYPES } from \"@/const/modelConfig\";\nimport { getAvatarUrl } from \"@/lib/avatar\";\nimport log from \"@/lib/logger\";\n\nconst APP_CONFIG_KEY = \"app\";\nconst MODEL_CONFIG_KEY = \"model\";\n\n/**\n * Query key for config data\n */\nexport const CONFIG_QUERY_KEY = [\"config\"];\n\nconst defaultConfig: GlobalConfig = {\n  app: {\n    appName: \"\",\n    appDescription: \"\",\n    iconType: ICON_TYPES.PRESET,\n    iconKey: \"search\",\n    customIconUrl: \"\",\n    avatarUri: \"\",\n    modelEngineEnabled: false,\n    datamateUrl: \"\",\n  },\n  models: {\n    llm: {\n      modelName: \"\",\n      displayName: \"\",\n      apiConfig: {\n        apiKey: \"\",\n        modelUrl: \"\",\n      },\n    },\n    embedding: {\n      modelName: \"\",\n      displayName: \"\",\n      apiConfig: {\n        apiKey: \"\",\n        modelUrl: \"\",\n      },\n      dimension: 0,\n    },\n    multiEmbedding: {\n      modelName: \"\",\n      displayName: \"\",\n      apiConfig: {\n        apiKey: \"\",\n        modelUrl: \"\",\n      },\n      dimension: 0,\n    },\n    rerank: {\n      modelName: \"\",\n      displayName: \"\",\n      apiConfig: {\n        apiKey: \"\",\n        modelUrl: \"\",\n      },\n    },\n    vlm: {\n      modelName: \"\",\n      displayName: \"\",\n      apiConfig: {\n        apiKey: \"\",\n        modelUrl: \"\",\n      },\n    },\n    stt: {\n      modelName: \"\",\n      displayName: \"\",\n      apiConfig: {\n        apiKey: \"\",\n        modelUrl: \"\",\n      },\n    },\n    tts: {\n      modelName: \"\",\n      displayName: \"\",\n      apiConfig: {\n        apiKey: \"\",\n        modelUrl: \"\",\n      },\n    },\n  },\n};\n\nfunction transformModelEntry(\n  raw: Record<string, any> | undefined,\n  withDimension = false\n): SingleModelConfig {\n  return {\n    modelName: raw?.name || \"\",\n    displayName: raw?.displayName || \"\",\n    apiConfig: {\n      apiKey: raw?.apiConfig?.apiKey || \"\",\n      modelUrl: raw?.apiConfig?.modelUrl || \"\",\n    },\n    ...(withDimension ? { dimension: raw?.dimension || 0 } : {}),\n  };\n}\n\n/**\n * Transform backend config format to frontend format\n */\nfunction transformBackendToFrontend(backendConfig: any): GlobalConfig {\n  // Get iconKey from backend - if not available, use default \"search\"\n  const iconKey = backendConfig.app?.icon?.iconKey || \"search\";\n\n  const app: AppConfig = backendConfig.app\n    ? {\n        appName: backendConfig.app.name || \"\",\n        appDescription: backendConfig.app.description || \"\",\n        iconType:\n          (backendConfig.app.icon?.type as \"preset\" | \"custom\") || \"preset\",\n        iconKey: iconKey,\n        customIconUrl: backendConfig.app.icon?.customUrl || null,\n        avatarUri: backendConfig.app.icon?.avatarUri || null,\n        modelEngineEnabled: backendConfig.app.modelEngineEnabled ?? false,\n        datamateUrl: backendConfig.app.datamateUrl || null,\n      }\n    : defaultConfig.app;\n\n  const models: ModelConfig = backendConfig.models\n    ? {\n        llm: transformModelEntry(backendConfig.models.llm),\n        embedding: transformModelEntry(backendConfig.models.embedding, true),\n        multiEmbedding: transformModelEntry(\n          backendConfig.models.multiEmbedding,\n          true\n        ),\n        rerank: transformModelEntry(backendConfig.models.rerank),\n        vlm: transformModelEntry(backendConfig.models.vlm),\n        stt: transformModelEntry(backendConfig.models.stt),\n        tts: transformModelEntry(backendConfig.models.tts),\n      }\n    : defaultConfig.models;\n\n  return { app, models };\n}\n\n/**\n * Load config from localStorage\n */\nfunction loadConfigFromStorage(): GlobalConfig | null {\n  if (typeof window === \"undefined\") {\n    return null;\n  }\n\n  try {\n    const storedAppConfig = localStorage.getItem(APP_CONFIG_KEY);\n    const storedModelConfig = localStorage.getItem(MODEL_CONFIG_KEY);\n\n    let mergedConfig: GlobalConfig = JSON.parse(\n      JSON.stringify(defaultConfig)\n    );\n\n    if (storedAppConfig) {\n      try {\n        mergedConfig.app = JSON.parse(storedAppConfig);\n      } catch (error) {\n        log.error(\"Failed to parse app config:\", error);\n      }\n    }\n\n    if (storedModelConfig) {\n      try {\n        mergedConfig.models = JSON.parse(storedModelConfig);\n      } catch (error) {\n        log.error(\"Failed to parse model config:\", error);\n      }\n    }\n\n    return mergedConfig;\n  } catch (error) {\n    log.error(\"Failed to load config from storage:\", error);\n    return null;\n  }\n}\n\n/**\n * Save config to localStorage\n */\nfunction saveConfigToStorage(config: GlobalConfig): void {\n  if (typeof window === \"undefined\") {\n    return;\n  }\n\n  try {\n    if (config.app) {\n      localStorage.setItem(APP_CONFIG_KEY, JSON.stringify(config.app));\n    }\n    if (config.models) {\n      localStorage.setItem(MODEL_CONFIG_KEY, JSON.stringify(config.models));\n    }\n  } catch (error) {\n    log.error(\"Failed to save config to storage:\", error);\n  }\n}\n\n/**\n * Deep merge configuration\n */\nfunction deepMerge<T>(target: T, source: Partial<T>): T {\n  if (!source) return target;\n  if (!target) return source as T;\n\n  const result = { ...target } as T;\n\n  Object.keys(source).forEach((key) => {\n    const targetValue = (target as any)[key];\n    const sourceValue = (source as any)[key];\n\n    if (\n      sourceValue &&\n      typeof sourceValue === \"object\" &&\n      !Array.isArray(sourceValue)\n    ) {\n      if (targetValue !== undefined && targetValue !== null) {\n        (result as any)[key] = deepMerge(targetValue, sourceValue);\n      } else {\n        (result as any)[key] = sourceValue;\n      }\n    } else if (sourceValue !== undefined) {\n      (result as any)[key] = sourceValue;\n    }\n  });\n\n  return result;\n}\n\n/**\n * Main hook to fetch and manage configuration\n * Handles React Query caching, localStorage persistence, and format transformation\n */\nexport function useConfig() {\n  const queryClient = useQueryClient();\n\n  const query = useQuery({\n    queryKey: CONFIG_QUERY_KEY,\n    queryFn: async () => {\n      const backendConfig = await configService.fetchConfig();\n      const frontendConfig = transformBackendToFrontend(backendConfig);\n      saveConfigToStorage(frontendConfig);\n      return frontendConfig;\n    },\n    initialData: loadConfigFromStorage() ?? undefined,\n    initialDataUpdatedAt: 0,\n    staleTime: 5 * 60 * 1000,\n    gcTime: 10 * 60 * 1000,\n    retry: 2,\n    refetchOnWindowFocus: false,\n  });\n\n  const config: GlobalConfig = (query.data as GlobalConfig | undefined) ?? defaultConfig;\n\n  // Whether config has selected a VLM model\n  const isVlmAvailable = !!(config?.models?.vlm?.modelName || config?.models?.vlm?.displayName);\n\n  // Whether config has selected an Embedding model\n  const isEmbeddingAvailable = !!(config?.models?.embedding?.modelName || config?.models?.embedding?.displayName);\n\n  // Default LLM model name from config (modelName or displayName)\n  const defaultLlmModelName = config?.models?.llm?.modelName || config?.models?.llm?.displayName || \"\";\n\n  const updateAppConfig = useCallback(\n    (partial: Partial<AppConfig>) => {\n      if (!config) return;\n      const updated: GlobalConfig = {\n        ...config,\n        app: deepMerge(config.app, partial),\n      };\n      queryClient.setQueryData(CONFIG_QUERY_KEY, updated);\n      saveConfigToStorage(updated);\n    },\n    [config, queryClient]\n  );\n\n  const updateModelConfig = useCallback(\n    (partial: Partial<ModelConfig>) => {\n      if (!config) return;\n      const updated: GlobalConfig = {\n        ...config,\n        models: deepMerge(config.models, partial),\n      };\n      queryClient.setQueryData(CONFIG_QUERY_KEY, updated);\n      saveConfigToStorage(updated);\n    },\n    [config, queryClient]\n  );\n\n  const updateConfig = useCallback(\n    (newConfig: GlobalConfig | Partial<GlobalConfig>) => {\n      if (!config) return;\n      const updated: GlobalConfig = deepMerge(config, newConfig);\n      queryClient.setQueryData(CONFIG_QUERY_KEY, updated);\n      saveConfigToStorage(updated);\n    },\n    [config, queryClient]\n  );\n\n  const getAppAvatarUrl = useCallback(\n    (size?: number) => {\n      if (!config?.app) return \"\";\n      return getAvatarUrl(config.app, size);\n    },\n    [config?.app]\n  );\n\n  /**\n   * Save config to backend and invalidate cache.\n   * When called with no argument, saves the current cached config.\n   * When called with a GlobalConfig, saves that specific config.\n   */\n  const saveConfig = useCallback(\n    async (configToSave?: GlobalConfig): Promise<boolean> => {\n      const target = configToSave ?? (queryClient.getQueryData(CONFIG_QUERY_KEY) as GlobalConfig | undefined) ?? config;\n      if (!target) return false;\n      try {\n        await configService.saveConfig(target);\n        await queryClient.invalidateQueries({ queryKey: CONFIG_QUERY_KEY });\n        return true;\n      } catch (error) {\n        log.error(\"Failed to save config:\", error);\n        return false;\n      }\n    },\n    [config, queryClient]\n  );\n\n  const invalidateConfig = useCallback(async () => {\n    await queryClient.invalidateQueries({ queryKey: CONFIG_QUERY_KEY });\n  }, [queryClient]);\n\n  return {\n    ...query,\n    config,\n    appConfig: config?.app,\n    modelConfig: config?.models,\n    isVlmAvailable,\n    isEmbeddingAvailable,\n    defaultLlmModelName,\n    updateAppConfig,\n    updateModelConfig,\n    updateConfig,\n    getAppAvatarUrl,\n    saveConfig,\n    invalidateConfig,\n  };\n}\n"
  },
  {
    "path": "frontend/hooks/useConfirmModal.ts",
    "content": "import { App } from \"antd\";\nimport { ExclamationCircleFilled } from \"@ant-design/icons\";\n\nimport React from \"react\";\nimport i18next from \"i18next\";\n\ninterface ConfirmProps {\n  title: string;\n  content: React.ReactNode;\n  okText?: string;\n  cancelText?: string;\n  danger?: boolean; // 默认为 true，使用 danger 样式\n  onOk?: () => void;\n  onCancel?: () => void;\n}\n\nexport const useConfirmModal = () => {\n  const { modal } = App.useApp();\n\n  const confirm = ({\n    title,\n    content,\n    okText,\n    cancelText,\n    danger = true,\n    onOk,\n    onCancel,\n  }: ConfirmProps) => {\n    return modal.confirm({\n      title,\n      content,\n      centered: true,\n      icon: React.createElement(ExclamationCircleFilled),\n      okText: okText || i18next.t(\"common.confirm\"),\n      cancelText: cancelText || i18next.t(\"common.cancel\"),\n      okButtonProps: { \n        danger, \n        type: \"primary\"\n      },\n      onOk: onOk,\n      onCancel,\n    });\n  };\n\n  return { confirm };\n};"
  },
  {
    "path": "frontend/hooks/useErrorHandler.ts",
    "content": "/**\n * Custom hook for handling API errors with i18n support.\n *\n * This hook provides utilities to:\n * - Convert error codes to localized messages\n * - Handle session expiration\n * - Provide consistent error handling across the app\n */\n\nimport { useCallback } from \"react\";\nimport { useTranslation } from \"react-i18next\";\nimport { message } from \"antd\";\n\nimport { ErrorCode, isSessionExpired } from \"@/const/errorCode\";\nimport { DEFAULT_ERROR_MESSAGES } from \"@/const/errorMessage\";\nimport { ApiError } from \"@/services/api\";\nimport { handleSessionExpired } from \"@/lib/session\";\nimport log from \"@/lib/logger\";\n\n/**\n * Options for error handling\n */\nexport interface ErrorHandlerOptions {\n  /** Whether to show error message to user */\n  showMessage?: boolean;\n  /** Custom error message key prefix */\n  messagePrefix?: string;\n  /** Callback on error */\n  onError?: (error: Error) => void;\n  /** Whether to handle session expiration */\n  handleSession?: boolean;\n}\n\n/**\n * Default error handler options\n */\nconst DEFAULT_OPTIONS: ErrorHandlerOptions = {\n  showMessage: true,\n  handleSession: true,\n};\n\n/**\n * Hook for handling API errors with i18n support\n */\nexport const useErrorHandler = () => {\n  const { t } = useTranslation();\n\n  /**\n   * Get i18n error message by error code\n   */\n  const getI18nErrorMessage = useCallback(\n    (code: string | number): string => {\n      // Try to get i18n key\n      const i18nKey = `errorCode.${code}`;\n      const translated = t(i18nKey);\n\n      // If translation exists (not equal to key), return translated message\n      if (translated !== i18nKey) {\n        return translated;\n      }\n\n      // Fallback to default messages\n      return (\n        DEFAULT_ERROR_MESSAGES[code] ||\n        DEFAULT_ERROR_MESSAGES[ErrorCode.UNKNOWN_ERROR]\n      );\n    },\n    [t]\n  );\n\n  /**\n   * Handle API error\n   */\n  const handleError = useCallback(\n    (error: unknown, options: ErrorHandlerOptions = {}) => {\n      const { showMessage, onError, handleSession } = {\n        ...DEFAULT_OPTIONS,\n        ...options,\n      };\n\n      // Handle ApiError\n      if (error instanceof ApiError) {\n        // Handle session expiration\n        if (handleSession && isSessionExpired(error.code)) {\n          handleSessionExpired();\n        }\n\n        // Get localized message\n        const errorMessage = getI18nErrorMessage(error.code);\n\n        // Log error\n        log.error(`API Error [${error.code}]: ${errorMessage}`, error);\n\n        // Show message to user\n        if (showMessage) {\n          message.error(errorMessage);\n        }\n\n        // Call onError callback\n        if (onError) {\n          onError(error);\n        }\n\n        return {\n          code: error.code,\n          message: errorMessage,\n          originalError: error,\n        };\n      }\n\n      // Handle unknown error\n      if (error instanceof Error) {\n        log.error(\"Unknown error:\", error);\n\n        if (showMessage) {\n          message.error(getI18nErrorMessage(ErrorCode.UNKNOWN_ERROR));\n        }\n\n        if (onError) {\n          onError(error);\n        }\n\n        return {\n          code: ErrorCode.UNKNOWN_ERROR,\n          message: getI18nErrorMessage(ErrorCode.UNKNOWN_ERROR),\n          originalError: error,\n        };\n      }\n\n      // Handle non-Error objects\n      log.error(\"Non-error object thrown:\", error);\n\n      if (showMessage) {\n        message.error(getI18nErrorMessage(ErrorCode.UNKNOWN_ERROR));\n      }\n\n      return {\n        code: ErrorCode.UNKNOWN_ERROR,\n        message: getI18nErrorMessage(ErrorCode.UNKNOWN_ERROR),\n        originalError: null,\n      };\n    },\n    [getI18nErrorMessage]\n  );\n\n  /**\n   * Wrap async function with error handling\n   */\n  const withErrorHandler = useCallback(\n    (fn: (...args: any[]) => Promise<any>, options: ErrorHandlerOptions = {}) => {\n      return async (...args: any[]) => {\n        try {\n          return await fn(...args);\n        } catch (error) {\n          throw handleError(error, options);\n        }\n      };\n    },\n    [handleError]\n  );\n\n  return {\n    getI18nErrorMessage,\n    handleError,\n    withErrorHandler,\n  };\n};\n"
  },
  {
    "path": "frontend/hooks/useKnowledgeBaseConfigChangeHandler.ts",
    "content": "\"use client\";\n\nimport { useRef, useEffect, useCallback } from \"react\";\n\n/**\n * Tool types that require knowledge base config change detection\n */\nexport type ToolKbType =\n  | \"knowledge_base_search\"\n  | \"dify_search\"\n  | \"datamate_search\"\n  | \"idata_search\";\n\n/**\n * Configuration for Dify tool\n */\nexport interface DifyConfig {\n  serverUrl: string;\n  apiKey: string;\n}\n\n/**\n * Configuration for DataMate tool\n */\nexport interface DatamateConfig {\n  serverUrl: string;\n}\n\n/**\n * Configuration for iData tool\n */\nexport interface IdataConfig {\n  serverUrl: string;\n  apiKey: string;\n  userId: string;\n}\n\n/**\n * Options for useKnowledgeBaseConfigChangeHandler hook\n */\nexport interface UseKnowledgeBaseConfigChangeHandlerOptions {\n  toolKbType: ToolKbType | null;\n  config: DifyConfig | DatamateConfig | IdataConfig | undefined;\n  onConfigChange: () => void;\n}\n\n/**\n * Hook for detecting knowledge base config changes and triggering callbacks\n * Handles both Dify (serverUrl + apiKey) and DataMate (serverUrl only) config changes\n * When config changes, it triggers onConfigChange to clear selection and refetch\n */\nexport function useKnowledgeBaseConfigChangeHandler({\n  toolKbType,\n  config,\n  onConfigChange,\n}: UseKnowledgeBaseConfigChangeHandlerOptions) {\n  // Track previous Dify config to detect changes\n  const prevDifyConfig = useRef<DifyConfig>({\n    serverUrl: \"\",\n    apiKey: \"\",\n  });\n\n  // Track previous DataMate URL to detect changes\n  const prevDatamateServerUrl = useRef<string>(\"\");\n\n  // Track previous iData config to detect changes\n  const prevIdataConfig = useRef<IdataConfig>({\n    serverUrl: \"\",\n    apiKey: \"\",\n    userId: \"\",\n  });\n\n  // Track if initial load is complete to avoid duplicate API calls\n  const isInitialLoadComplete = useRef(false);\n\n  // Handle Dify config change\n  useEffect(() => {\n    if (toolKbType !== \"dify_search\" || !config) {\n      return;\n    }\n\n    const difyConfig = config as DifyConfig;\n\n    // Skip initial load - only handle actual config changes\n    if (!prevDifyConfig.current.serverUrl && !prevDifyConfig.current.apiKey) {\n      prevDifyConfig.current = { ...difyConfig };\n      return;\n    }\n\n    const hasUrlChanged = difyConfig.serverUrl !== prevDifyConfig.current.serverUrl;\n    const hasApiKeyChanged = difyConfig.apiKey !== prevDifyConfig.current.apiKey;\n\n    // If URL or API key has changed, trigger callback\n    if (hasUrlChanged || hasApiKeyChanged) {\n      // Only clear and refetch if both values are not empty\n      if (difyConfig.serverUrl && difyConfig.apiKey) {\n        onConfigChange();\n      } else {\n        // Clear knowledge base list when URL or API key is cleared\n        onConfigChange();\n      }\n\n      // Update previous config\n      prevDifyConfig.current = { ...difyConfig };\n      isInitialLoadComplete.current = true;\n    }\n  }, [toolKbType, config, onConfigChange]);\n\n  // Handle DataMate config change\n  useEffect(() => {\n    if (toolKbType !== \"datamate_search\" || !config) {\n      return;\n    }\n\n    const datamateConfig = config as DatamateConfig;\n\n    // Skip initial load - only handle actual URL changes\n    if (!prevDatamateServerUrl.current) {\n      prevDatamateServerUrl.current = datamateConfig.serverUrl;\n      return;\n    }\n\n    const hasUrlChanged = datamateConfig.serverUrl !== prevDatamateServerUrl.current;\n\n    // If URL has changed, trigger callback\n    if (hasUrlChanged) {\n      // Clear previous knowledge base selection and refetch\n      onConfigChange();\n\n      // Update previous URL\n      prevDatamateServerUrl.current = datamateConfig.serverUrl;\n      isInitialLoadComplete.current = true;\n    }\n  }, [toolKbType, config, onConfigChange]);\n\n  // Handle iData config change\n  useEffect(() => {\n    if (toolKbType !== \"idata_search\" || !config) {\n      return;\n    }\n\n    const idataConfig = config as IdataConfig;\n\n    // Skip initial load - only handle actual config changes\n    if (\n      !prevIdataConfig.current.serverUrl &&\n      !prevIdataConfig.current.apiKey &&\n      !prevIdataConfig.current.userId\n    ) {\n      prevIdataConfig.current = { ...idataConfig };\n      return;\n    }\n\n    const hasUrlChanged =\n      idataConfig.serverUrl !== prevIdataConfig.current.serverUrl;\n    const hasApiKeyChanged =\n      idataConfig.apiKey !== prevIdataConfig.current.apiKey;\n    const hasUserIdChanged =\n      idataConfig.userId !== prevIdataConfig.current.userId;\n\n    // If URL, API key, or user ID has changed, trigger callback\n    if (hasUrlChanged || hasApiKeyChanged || hasUserIdChanged) {\n      // Clear knowledge base list when config is cleared\n      onConfigChange();\n\n      // Update previous config\n      prevIdataConfig.current = { ...idataConfig };\n      isInitialLoadComplete.current = true;\n    }\n  }, [toolKbType, config, onConfigChange]);\n\n  // Reset handler - useful when modal closes to reset the tracking state\n  const resetTracker = useCallback(() => {\n    prevDifyConfig.current = { serverUrl: \"\", apiKey: \"\" };\n    prevDatamateServerUrl.current = \"\";\n    prevIdataConfig.current = { serverUrl: \"\", apiKey: \"\", userId: \"\" };\n    isInitialLoadComplete.current = false;\n  }, []);\n\n  return {\n    resetTracker,\n  };\n}\n"
  },
  {
    "path": "frontend/hooks/useKnowledgeBaseSelector.ts",
    "content": "\"use client\";\n\nimport { useState, useCallback } from \"react\";\nimport { useQuery, useQueryClient } from \"@tanstack/react-query\";\nimport { useTranslation } from \"react-i18next\";\n\nimport knowledgeBaseService from \"@/services/knowledgeBaseService\";\nimport { KnowledgeBase } from \"@/types/knowledgeBase\";\nimport log from \"@/lib/logger\";\nimport { showErrorToUser } from \"@/const/errorMessageI18n\";\n\n/**\n * Query key factory for knowledge bases\n */\nexport const knowledgeBaseKeys = {\n  all: [\"knowledgeBases\"] as const,\n  lists: () => [...knowledgeBaseKeys.all, \"list\"] as const,\n  list: (toolType: string, difyServerUrl?: string) =>\n    difyServerUrl\n      ? ([...knowledgeBaseKeys.lists(), toolType, difyServerUrl] as const)\n      : ([...knowledgeBaseKeys.lists(), toolType] as const),\n};\n\n/**\n * Hook for fetching knowledge bases based on tool type with React Query caching\n * Uses cache to avoid repeated API calls on the same page\n */\nexport function useKnowledgeBasesForToolConfig(\n  toolType:\n    | \"knowledge_base_search\"\n    | \"dify_search\"\n    | \"datamate_search\"\n    | \"idata_search\"\n    | null = null,\n  config?: {\n    serverUrl?: string;\n    apiKey?: string;\n    userId?: string;\n    knowledgeSpaceId?: string;\n  }\n) {\n  const { t } = useTranslation();\n  const queryClient = useQueryClient();\n\n  // Support both difyConfig and datamateConfig naming conventions\n  const difyConfig = config;\n  const datamateConfig = config;\n  const idataConfig = config;\n\n  const query = useQuery({\n    queryKey: knowledgeBaseKeys.list(\n      toolType || \"default\",\n      difyConfig?.serverUrl || \"\"\n    ),\n    queryFn: async () => {\n      let kbs: KnowledgeBase[] = [];\n\n      // Fetch knowledge bases based on tool type\n      if (toolType === \"datamate_search\") {\n        // Sync DataMate knowledge bases with optional URL from config\n        const syncResult =\n          await knowledgeBaseService.syncDataMateAndCreateRecords(\n            datamateConfig?.serverUrl\n          );\n        if (syncResult.indices_info) {\n          kbs = syncResult.indices_info.map((indexInfo: any) => {\n            const stats = indexInfo.stats?.base_info || {};\n            const kbId = indexInfo.name;\n            const kbName = indexInfo.display_name || indexInfo.name;\n\n            return {\n              id: kbId,\n              name: kbName,\n              display_name: indexInfo.display_name || indexInfo.name,\n              description: \"DataMate knowledge base\",\n              documentCount: stats.doc_count || 0,\n              chunkCount: stats.chunk_count || 0,\n              createdAt: stats.creation_date || null,\n              updatedAt: stats.update_date || stats.creation_date || null,\n              embeddingModel: stats.embedding_model || \"unknown\",\n              knowledge_sources: indexInfo.knowledge_sources || \"datamate\",\n              ingroup_permission: indexInfo.ingroup_permission || \"\",\n              group_ids: indexInfo.group_ids || [],\n              store_size: stats.store_size || \"\",\n              process_source: stats.process_source || \"\",\n              avatar: \"\",\n              chunkNum: 0,\n              language: \"\",\n              nickname: \"\",\n              parserId: \"\",\n              permission: indexInfo.permission || \"\",\n              tokenNum: 0,\n              source: \"datamate\",\n              tenant_id: indexInfo.tenant_id,\n            };\n          });\n        }\n      } else if (toolType === \"dify_search\") {\n        // For Dify, fetch knowledge bases using provided config\n        if (difyConfig?.serverUrl && difyConfig?.apiKey) {\n          // Don't catch error here - let it propagate to React Query so caller can handle it\n          kbs = await knowledgeBaseService.getDifyKnowledgeBases(\n            difyConfig.serverUrl,\n            difyConfig.apiKey\n          );\n          log.info(\"Dify knowledge bases fetched successfully:\", kbs.length);\n        } else {\n          // No Dify config provided, return empty\n          kbs = [];\n        }\n      } else if (toolType === \"idata_search\") {\n        // For iData, fetch knowledge bases using provided config\n        if (\n          idataConfig?.serverUrl &&\n          idataConfig?.apiKey &&\n          idataConfig?.userId &&\n          idataConfig?.knowledgeSpaceId\n        ) {\n          try {\n            kbs = await knowledgeBaseService.getIdataKnowledgeBases(\n              idataConfig.serverUrl,\n              idataConfig.apiKey,\n              idataConfig.userId,\n              idataConfig.knowledgeSpaceId\n            );\n          } catch (error: any) {\n            log.error(\"Failed to fetch iData knowledge bases:\", error);\n            // Show i18n error message to user\n            showErrorToUser(error, t);\n            kbs = [];\n          }\n        } else {\n          // No iData config provided, return empty\n          kbs = [];\n        }\n      } else {\n        // Default: knowledge_base_search or unknown - only get Nexent knowledge bases\n        const result = await knowledgeBaseService.getKnowledgeBasesInfo(false, false);\n        kbs = result.knowledgeBases;\n      }\n\n      // Sort by updatedAt descending\n      return kbs.sort((a, b) => {\n        const dateA = a.updatedAt ? new Date(a.updatedAt).getTime() : 0;\n        const dateB = b.updatedAt ? new Date(b.updatedAt).getTime() : 0;\n        return dateB - dateA;\n      });\n    },\n    enabled: !!toolType,\n    staleTime: 30_000, // Cache for 30 seconds to reduce API calls\n    gcTime: 5 * 60_000, // Keep in cache for 5 minutes\n    refetchOnMount: false, // Only refetch if data is stale\n    refetchOnWindowFocus: false, // Don't refetch on window focus\n    retry: 0, // Don't retry on failure - show error immediately\n  });\n\n  // Provide a method to clear knowledge bases cache (useful when sync fails)\n  const clearKnowledgeBases = useCallback(() => {\n    queryClient.setQueryData(\n      knowledgeBaseKeys.list(toolType || \"default\", difyConfig?.serverUrl || \"\"),\n      []\n    );\n  }, [queryClient, toolType, difyConfig?.serverUrl]);\n\n  return { ...query, clearKnowledgeBases };\n}\n\n/**\n * Prefetch knowledge bases for a specific tool type\n * Call this when the user navigates to the agent config page\n */\nexport function usePrefetchKnowledgeBases() {\n  const { t } = useTranslation();\n  const queryClient = useQueryClient();\n\n  const prefetchKnowledgeBases = useCallback(\n    async (\n      toolType:\n        | \"knowledge_base_search\"\n        | \"dify_search\"\n        | \"datamate_search\"\n        | \"idata_search\"\n        | null,\n      difyConfig?: {\n        serverUrl?: string;\n        apiKey?: string;\n        userId?: string;\n        knowledgeSpaceId?: string;\n      }\n    ) => {\n      if (!toolType) return;\n\n      await queryClient.prefetchQuery({\n        queryKey: knowledgeBaseKeys.list(\n          toolType,\n          difyConfig?.serverUrl || \"\"\n        ),\n        queryFn: async () => {\n          let kbs: KnowledgeBase[] = [];\n\n          if (toolType === \"datamate_search\") {\n            const syncResult =\n              await knowledgeBaseService.syncDataMateAndCreateRecords();\n            if (syncResult.indices_info) {\n              kbs = syncResult.indices_info.map((indexInfo: any) => {\n                const stats = indexInfo.stats?.base_info || {};\n                return {\n                  id: indexInfo.name,\n                  name: indexInfo.display_name || indexInfo.name,\n                  display_name: indexInfo.display_name || indexInfo.name,\n                  description: \"DataMate knowledge base\",\n                  documentCount: stats.doc_count || 0,\n                  chunkCount: stats.chunk_count || 0,\n                  createdAt: stats.creation_date || null,\n                  updatedAt: stats.update_date || stats.creation_date || null,\n                  embeddingModel: stats.embedding_model || \"unknown\",\n                  knowledge_sources: indexInfo.knowledge_sources || \"datamate\",\n                  ingroup_permission: indexInfo.ingroup_permission || \"\",\n                  group_ids: indexInfo.group_ids || [],\n                  store_size: stats.store_size || \"\",\n                  process_source: stats.process_source || \"\",\n                  avatar: \"\",\n                  chunkNum: 0,\n                  language: \"\",\n                  nickname: \"\",\n                  parserId: \"\",\n                  permission: indexInfo.permission || \"\",\n                  tokenNum: 0,\n                  source: \"datamate\",\n                  tenant_id: indexInfo.tenant_id,\n                };\n              });\n            }\n          } else if (toolType === \"dify_search\") {\n            if (difyConfig?.serverUrl && difyConfig?.apiKey) {\n              try {\n                kbs = await knowledgeBaseService.getDifyKnowledgeBases(\n                  difyConfig.serverUrl,\n                  difyConfig.apiKey\n                );\n              } catch (error: any) {\n                log.error(\"Failed to prefetch Dify knowledge bases:\", error);\n                // Show i18n error message to user\n                showErrorToUser(error, t);\n                kbs = [];\n              }\n            } else {\n              kbs = [];\n            }\n          } else if (toolType === \"idata_search\") {\n            if (\n              difyConfig?.serverUrl &&\n              difyConfig?.apiKey &&\n              difyConfig?.userId &&\n              difyConfig?.knowledgeSpaceId\n            ) {\n              try {\n                kbs = await knowledgeBaseService.getIdataKnowledgeBases(\n                  difyConfig.serverUrl,\n                  difyConfig.apiKey,\n                  difyConfig.userId,\n                  difyConfig.knowledgeSpaceId\n                );\n              } catch (error: any) {\n                log.error(\"Failed to prefetch iData knowledge bases:\", error);\n                // Show i18n error message to user\n                showErrorToUser(error, t);\n                kbs = [];\n              }\n            } else {\n              kbs = [];\n            }\n          } else {\n            const result = await knowledgeBaseService.getKnowledgeBasesInfo(false, false);\n            kbs = result.knowledgeBases;\n          }\n\n          return kbs.sort((a, b) => {\n            const dateA = a.updatedAt ? new Date(a.updatedAt).getTime() : 0;\n            const dateB = b.updatedAt ? new Date(b.updatedAt).getTime() : 0;\n            return dateB - dateA;\n          });\n        },\n        staleTime: 30_000,\n      });\n    },\n    [queryClient]\n  );\n\n  return { prefetchKnowledgeBases };\n}\n\n/**\n * Hook for syncing knowledge bases by tool type\n */\nexport function useSyncKnowledgeBases() {\n  const { t } = useTranslation();\n  const [isSyncing, setIsSyncing] = useState<string | null>(null);\n\n  const syncKnowledgeBases = useCallback(\n    async (\n      toolType: string,\n      config?: {\n        serverUrl?: string;\n        apiKey?: string;\n        userId?: string;\n        knowledgeSpaceId?: string;\n      }\n    ): Promise<void> => {\n      setIsSyncing(toolType);\n      try {\n        switch (toolType) {\n          case \"knowledge_base_search\":\n            // Sync only Nexent knowledge bases (exclude DataMate)\n            await knowledgeBaseService.getKnowledgeBasesInfo(false, false);\n            break;\n          case \"datamate_search\":\n            // Sync only DataMate knowledge bases with optional URL from config\n            await knowledgeBaseService.syncDataMateAndCreateRecords(\n              config?.serverUrl\n            );\n            break;\n          case \"dify_search\":\n            // Dify sync requires API credentials\n            if (config?.serverUrl && config?.apiKey) {\n              await knowledgeBaseService.getDifyKnowledgeBases(\n                config.serverUrl,\n                config.apiKey\n              );\n            }\n            break;\n          case \"idata_search\":\n            // iData sync requires API credentials and knowledge space ID\n            if (\n              config?.serverUrl &&\n              config?.apiKey &&\n              config?.userId &&\n              config?.knowledgeSpaceId\n            ) {\n              await knowledgeBaseService.getIdataKnowledgeBases(\n                config.serverUrl,\n                config.apiKey,\n                config.userId,\n                config.knowledgeSpaceId\n              );\n            }\n            break;\n          default:\n            // Default sync behavior - sync Nexent only\n            await knowledgeBaseService.getKnowledgeBasesInfo(false, false);\n        }\n      } catch (error: any) {\n        log.error(\"Failed to sync knowledge bases:\", error);\n        // Show i18n error message to user\n        showErrorToUser(error, t);\n      } finally {\n        setIsSyncing(null);\n      }\n    },\n    []\n  );\n\n  return {\n    syncKnowledgeBases,\n    isSyncing,\n  };\n}\n\n/**\n * Hook for managing knowledge base selection in tool configuration\n */\nexport function useKnowledgeBaseSelection(initialSelectedIds: string[] = []) {\n  const [selectedIds, setSelectedIds] = useState<string[]>(initialSelectedIds);\n  const [selectedKnowledgeBases, setSelectedKnowledgeBases] = useState<\n    KnowledgeBase[]\n  >([]);\n\n  // Update selected knowledge bases when IDs change\n  const updateSelectedKnowledgeBases = useCallback((kbs: KnowledgeBase[]) => {\n    setSelectedKnowledgeBases(kbs);\n  }, []);\n\n  // Select a knowledge base by ID\n  const selectKnowledgeBase = useCallback((id: string) => {\n    setSelectedIds((prev) => {\n      if (prev.includes(id)) {\n        return prev;\n      }\n      return [...prev, id];\n    });\n  }, []);\n\n  // Deselect a knowledge base by ID\n  const deselectKnowledgeBase = useCallback((id: string) => {\n    setSelectedIds((prev) => prev.filter((itemId) => itemId !== id));\n  }, []);\n\n  // Toggle selection of a knowledge base\n  const toggleKnowledgeBase = useCallback((id: string) => {\n    setSelectedIds((prev) => {\n      if (prev.includes(id)) {\n        return prev.filter((itemId) => itemId !== id);\n      }\n      return [...prev, id];\n    });\n  }, []);\n\n  // Clear all selections\n  const clearSelection = useCallback(() => {\n    setSelectedIds([]);\n    setSelectedKnowledgeBases([]);\n  }, []);\n\n  // Set selected IDs (e.g., from initial value)\n  const setSelection = useCallback((ids: string[]) => {\n    setSelectedIds(ids);\n  }, []);\n\n  return {\n    selectedIds,\n    selectedKnowledgeBases,\n    setSelectedIds: setSelection,\n    updateSelectedKnowledgeBases,\n    selectKnowledgeBase,\n    deselectKnowledgeBase,\n    toggleKnowledgeBase,\n    clearSelection,\n    hasSelection: selectedIds.length > 0,\n    selectionCount: selectedIds.length,\n  };\n}\n"
  },
  {
    "path": "frontend/hooks/useMcpConfig.ts",
    "content": "\"use client\";\n\nimport { useState, useRef, useCallback } from \"react\";\nimport { useQueryClient } from \"@tanstack/react-query\";\nimport {\n  addMcpServer,\n  updateMcpServer,\n  deleteMcpServer,\n  getMcpTools,\n  updateToolList,\n  checkMcpServerHealth,\n  addMcpFromConfig,\n  uploadMcpImage,\n  getMcpContainerLogs,\n  deleteMcpContainer,\n  getMcpRecord,\n} from \"@/services/mcpService\";\nimport { McpServer, McpContainer } from \"@/types/agentConfig\";\nimport log from \"@/lib/logger\";\nimport { MCP_SERVERS_QUERY_KEY, useMcpServerList } from \"@/hooks/mcp/useMcpServerList\";\nimport { useMcpContainerList } from \"@/hooks/mcp/useMcpContainerList\";\n\nexport interface UseMcpConfigOptions {\n  enabled?: boolean;\n  tenantId?: string | null;\n  onServerAdded?: () => void;\n  onServerDeleted?: () => void;\n  onServerUpdated?: () => void;\n  onContainerAdded?: () => void;\n  onContainerDeleted?: () => void;\n  onToolsRefreshed?: () => void;\n}\n\n// Message keys for i18n\nexport interface McpMessageKeys {\n  addSuccess: string;\n  addError: string;\n  deleteSuccess: string;\n  deleteError: string;\n  updateSuccess: string;\n  updateError: string;\n  healthChecking: string;\n  healthCheckSuccess: string;\n  healthCheckError: string;\n  getToolsError: string;\n  containerAddSuccess: string;\n  containerAddError: string;\n  containerDeleteSuccess: string;\n  containerDeleteError: string;\n  uploadImageSuccess: string;\n  uploadImageError: string;\n  getLogsError: string;\n  loadServerError: string;\n  loadContainerError: string;\n}\n\nexport function useMcpConfig(options: UseMcpConfigOptions = {}) {\n  const queryClient = useQueryClient();\n\n  const {\n    serverList,\n    enableUploadImage,\n    isLoading: loadingServers,\n    refetch: refetchMcpServers,\n    invalidate: invalidateMcpServers,\n  } = useMcpServerList({ enabled: options.enabled ?? true, staleTime: 60_000, tenantId: options.tenantId });\n\n  const {\n    containerList,\n    isLoading: loadingContainers,\n    refetch: refetchMcpContainers,\n    invalidate: invalidateMcpContainers,\n  } = useMcpContainerList({ enabled: options.enabled ?? true, staleTime: 60_000, tenantId: options.tenantId });\n\n  const loading = loadingServers || loadingContainers;\n\n  // Loading states\n  const [updatingTools, setUpdatingTools] = useState(false);\n  const [healthCheckLoading, setHealthCheckLoading] = useState<{ [key: string]: boolean }>({});\n  const delayedContainerRefreshRef = useRef<number | undefined>(undefined);\n\n  // Helper function to refresh tools and agents\n  const refreshToolsAndAgents = useCallback(async () => {\n    setUpdatingTools(true);\n    try {\n      await updateToolList();\n      queryClient.invalidateQueries({ queryKey: [\"tools\"] });\n      queryClient.invalidateQueries({ queryKey: [\"agents\"] });\n      options.onToolsRefreshed?.();\n    } catch (error) {\n      log.error(\"Failed to refresh tools and agents:\", error);\n    } finally {\n      setUpdatingTools(false);\n    }\n  }, [options, queryClient]);\n\n  // Load MCP server list\n  const loadServerList = useCallback(async () => {\n    try {\n      await refetchMcpServers();\n      return { success: true };\n    } catch (error) {\n      log.error(\"Failed to load server list:\", error);\n      return { success: false, message: \"Failed to load server list\", messageKey: \"mcpConfig.message.loadServerListFailed\" };\n    }\n  }, [refetchMcpServers]);\n\n  // Load container list\n  const loadContainerList = useCallback(async () => {\n    try {\n      await refetchMcpContainers();\n      return { success: true };\n    } catch (error) {\n      log.error(\"Failed to load container list:\", error);\n      return { success: false, message: \"Failed to load container list\", messageKey: \"mcpConfig.message.loadContainerListFailed\" };\n    }\n  }, [refetchMcpContainers]);\n\n  // Add MCP server\n  const handleAddServer = useCallback(async (url: string, name: string, authorizationToken?: string | null) => {\n    try {\n      const result = await addMcpServer(url, name, authorizationToken, options.tenantId);\n      if (result.success) {\n        invalidateMcpServers();\n        await refreshToolsAndAgents();\n        options.onServerAdded?.();\n        return { success: true, messageKey: \"mcpService.message.addServerSuccess\" };\n      } else {\n        return { success: false, message: result.message, messageKey: \"mcpService.message.addServerFailed\" };\n      }\n    } catch (error) {\n      log.error(\"Failed to add server:\", error);\n      return { success: false, message: \"Failed to add server\", messageKey: \"mcpConfig.message.addServerFailed\" };\n    }\n  }, [invalidateMcpServers, refreshToolsAndAgents, options]);\n\n  // Delete MCP server\n  const handleDeleteServer = useCallback(async (server: McpServer) => {\n    try {\n      const result = await deleteMcpServer(server.mcp_url, server.service_name, options.tenantId);\n      if (result.success) {\n        invalidateMcpServers();\n        refreshToolsAndAgents().catch(e => log.error(\"Refresh failed:\", e));\n        options.onServerDeleted?.();\n        return { success: true, messageKey: \"mcpService.message.deleteServerSuccess\" };\n      } else {\n        return { success: false, message: result.message, messageKey: \"mcpConfig.message.deleteServerFailed\" };\n      }\n    } catch (error) {\n      log.error(\"Failed to delete server:\", error);\n      return { success: false, message: \"Failed to delete server\", messageKey: \"mcpConfig.message.deleteServerFailed\" };\n    }\n  }, [invalidateMcpServers, refreshToolsAndAgents, options]);\n\n  // View server tools\n  const handleViewTools = useCallback(async (server: McpServer) => {\n    try {\n      const result = await getMcpTools(server.service_name, server.mcp_url);\n      if (result.success) {\n        return { success: true, data: result.data };\n      } else {\n        return { success: false, data: [], message: result.message, messageKey: \"mcpConfig.message.getToolsFailed\" };\n      }\n    } catch (error) {\n      log.error(\"Failed to get tools:\", error);\n      return { success: false, data: [], message: \"Failed to get tools\", messageKey: \"mcpConfig.message.getToolsFailed\" };\n    }\n  }, []);\n\n  // Check server health\n  const handleCheckHealth = useCallback(async (server: McpServer) => {\n    const key = `${server.service_name}__${server.mcp_url}`;\n    setHealthCheckLoading(prev => ({ ...prev, [key]: true }));\n    try {\n      const result = await checkMcpServerHealth(server.mcp_url, server.service_name, options.tenantId);\n      invalidateMcpServers();\n      invalidateMcpContainers();\n      await refreshToolsAndAgents();\n      if (result.success) {\n        return { success: true, messageKey: \"mcpConfig.message.healthCheckSuccess\" };\n      } else {\n        return { success: false, message: result.message, messageKey: \"mcpConfig.message.healthCheckFailed\" };\n      }\n    } catch (error) {\n      log.error(\"Health check failed:\", error);\n      invalidateMcpServers();\n      invalidateMcpContainers();\n      await refreshToolsAndAgents();\n      return { success: false, message: \"Health check failed\", messageKey: \"mcpConfig.message.healthCheckFailed\" };\n    } finally {\n      setHealthCheckLoading(prev => ({ ...prev, [key]: false }));\n    }\n  }, [invalidateMcpServers, invalidateMcpContainers, refreshToolsAndAgents, options.tenantId]);\n\n  // Update MCP server\n  const handleUpdateServer = useCallback(async (\n    oldName: string,\n    oldUrl: string,\n    newName: string,\n    newUrl: string,\n    newAuthorizationToken?: string | null\n  ) => {\n    try {\n      const result = await updateMcpServer(oldName, oldUrl, newName, newUrl, newAuthorizationToken, options.tenantId);\n      if (result.success) {\n        // Best-effort optimistic status update for UI responsiveness\n        queryClient.setQueryData([...MCP_SERVERS_QUERY_KEY, options.tenantId], (prev: any) => {\n          if (!prev?.data) return prev;\n          return {\n            ...prev,\n            data: (prev.data as McpServer[]).map((s) =>\n              s.service_name === newName && s.mcp_url === newUrl ? { ...s, status: true } : s\n            ),\n          };\n        });\n        invalidateMcpServers();\n        await refreshToolsAndAgents();\n        options.onServerUpdated?.();\n        return { success: true, messageKey: \"mcpService.message.updateServerSuccess\" };\n      } else {\n        return { success: false, message: result.message, messageKey: \"mcpService.message.updateServerFailed\" };\n      }\n    } catch (error) {\n      log.error(\"Failed to update server:\", error);\n      return { success: false, message: \"Failed to update server\", messageKey: \"mcpService.message.updateServerFailed\" };\n    }\n  }, [invalidateMcpServers, refreshToolsAndAgents, queryClient, options]);\n\n  // Add container\n  const handleAddContainer = useCallback(async (config: any, port: number) => {\n    // Correctly process the mcpServers object from the config\n    const mcpServers = config.mcpServers || {};\n    const configWithPorts = {\n      mcpServers: Object.fromEntries(\n        Object.entries(mcpServers as Record<string, any>).map(([key, value]) => [\n          key,\n          { ...value, port },\n        ])\n      ),\n    };\n\n    if (delayedContainerRefreshRef.current) {\n      window.clearTimeout(delayedContainerRefreshRef.current);\n    }\n    delayedContainerRefreshRef.current = window.setTimeout(() => {\n      invalidateMcpContainers().catch(e => log.error(\"Failed to refresh containers:\", e));\n    }, 3000);\n\n    try {\n      const result = await addMcpFromConfig(configWithPorts as any, options.tenantId);\n      if (result.success) {\n        invalidateMcpContainers();\n        invalidateMcpServers();\n        await refreshToolsAndAgents();\n        options.onContainerAdded?.();\n        return { success: true, messageKey: \"mcpService.message.addContainerSuccess\" };\n      } else {\n        return { \n          success: false, \n          message: result.message, \n          messageKey: (result as any).messageKey || \"mcpConfig.message.addContainerFailed\" \n        };\n      }\n    } catch (error) {\n      log.error(\"Failed to add container:\", error);\n      return { success: false, message: \"Failed to add container\", messageKey: \"mcpConfig.message.addContainerFailed\" };\n    }\n  }, [invalidateMcpContainers, invalidateMcpServers, refreshToolsAndAgents, options]);\n\n  // Upload MCP image\n  const handleUploadImage = useCallback(async (\n    file: File,\n    port: number,\n    serviceName?: string,\n    authorizationToken?: string\n  ) => {\n    try {\n      // Build env_vars JSON string with authorization_token if provided\n      let envVars: string | undefined = undefined;\n      if (authorizationToken) {\n        envVars = JSON.stringify({ authorization_token: authorizationToken });\n      }\n\n      const result = await uploadMcpImage(file, port, serviceName, envVars, options.tenantId);\n      if (result.success) {\n        invalidateMcpContainers();\n        invalidateMcpServers();\n        await refreshToolsAndAgents();\n        return { success: true, messageKey: \"mcpService.message.uploadImageSuccess\" };\n      } else {\n        return { success: false, message: result.message, messageKey: \"mcpConfig.message.uploadImageFailed\" };\n      }\n    } catch (error) {\n      log.error(\"Failed to upload image:\", error);\n      return { success: false, message: \"Failed to upload image\", messageKey: \"mcpConfig.message.uploadImageFailed\" };\n    }\n  }, [invalidateMcpContainers, invalidateMcpServers, refreshToolsAndAgents, options.tenantId]);\n\n  // Delete container\n  const handleDeleteContainer = useCallback(async (container: McpContainer) => {\n    try {\n      const result = await deleteMcpContainer(container.container_id, options.tenantId);\n      if (result.success) {\n        invalidateMcpContainers();\n        invalidateMcpServers();\n        refreshToolsAndAgents().catch(e => log.error(\"Refresh failed:\", e));\n        options.onContainerDeleted?.();\n        return { success: true, messageKey: \"mcpService.message.deleteContainerSuccess\" };\n      } else {\n        return { success: false, message: result.message, messageKey: \"mcpConfig.message.deleteContainerFailed\" };\n      }\n    } catch (error) {\n      log.error(\"Failed to delete container:\", error);\n      return { success: false, message: \"Failed to delete container\", messageKey: \"mcpConfig.message.deleteContainerFailed\" };\n    }\n  }, [invalidateMcpContainers, invalidateMcpServers, refreshToolsAndAgents, options]);\n\n  // View container logs\n  const handleViewLogs = useCallback(async (containerId: string, maxLines: number = 500) => {\n    try {\n      const result = await getMcpContainerLogs(containerId, maxLines, options.tenantId);\n      if (result.success) {\n        return { success: true, data: result.data };\n      } else {\n        return { success: false, data: result.message, messageKey: \"mcpConfig.message.getContainerLogsFailed\" };\n      }\n    } catch (error) {\n      log.error(\"Failed to get logs:\", error);\n      return { success: false, data: \"Failed to get logs\", messageKey: \"mcpConfig.message.getContainerLogsFailed\" };\n    }\n  }, [options.tenantId]);\n\n  // Get MCP record by ID\n  const handleGetMcpRecord = useCallback(async (mcpId: number) => {\n    try {\n      const result = await getMcpRecord(mcpId, options.tenantId);\n      if (result.success) {\n        return { success: true, data: result.data };\n      } else {\n        return { success: false, data: null, message: result.message, messageKey: \"mcpConfig.message.getMcpRecordFailed\" };\n      }\n    } catch (error) {\n      log.error(\"Failed to get MCP record:\", error);\n      return { success: false, data: null, message: \"Failed to get MCP record\", messageKey: \"mcpConfig.message.getMcpRecordFailed\" };\n    }\n  }, [options.tenantId]);\n\n  return {\n    // State\n    serverList,\n    loading,\n    containerList,\n    enableUploadImage,\n    updatingTools,\n    healthCheckLoading,\n\n    // Data loading functions\n    loadServerList,\n    loadContainerList,\n    refreshToolsAndAgents,\n\n    // Handler functions\n    handleAddServer,\n    handleDeleteServer,\n    handleViewTools,\n    handleCheckHealth,\n    handleUpdateServer,\n    handleAddContainer,\n    handleUploadImage,\n    handleDeleteContainer,\n    handleViewLogs,\n    handleGetMcpRecord,\n  };\n}\n"
  },
  {
    "path": "frontend/hooks/useMemory.ts",
    "content": "import { useState, useEffect, useCallback, useRef } from \"react\"\nimport { useTranslation } from \"react-i18next\"\n\nimport {\n  loadMemoryConfig,\n  setMemorySwitch,\n  setMemoryAgentShare,\n  fetchTenantSharedGroup,\n  fetchAgentSharedGroups,\n  fetchUserPersonalGroup,\n  fetchUserAgentGroups,\n  addDisabledAgentId,\n  removeDisabledAgentId,\n  addDisabledUserAgentId,\n  removeDisabledUserAgentId,\n  addMemory,\n  clearMemory,\n  deleteMemory,\n} from \"@/services/memoryService\"\n\nimport { pageSize, MemoryGroup, UseMemoryOptions } from \"@/types/memory\"\nimport log from \"@/lib/logger\";\n\nexport function useMemory({ visible, currentUserId, currentTenantId, message }: UseMemoryOptions) {\n  const { t } = useTranslation()\n  /* ----------------------- Basic Settings State ----------------------- */\n  const [memoryEnabled, setMemoryEnabledState] = useState<boolean>(true)\n  const [shareOption, setShareOptionState] = useState<\"always\" | \"ask\" | \"never\">(\"always\")\n\n  /* ------------------------- Original Logic State ------------------------- */\n  // Group disabled state (only effective for Agent shared, user Agent tabs)\n  const [disabledGroups, setDisabledGroups] = useState<Record<string, boolean>>({})\n\n  const disableAgentIdSet = useRef<Set<string>>(new Set())\n  const disableUserAgentIdSet = useRef<Set<string>>(new Set())\n\n  const [openKey, setOpenKey] = useState<string>()\n\n  // Currently active Tab\n  const [activeTabKey, setActiveTabKey] = useState<string>(\"base\")\n\n  // Pagination state\n  const [pageMap, setPageMap] = useState<Record<string, number>>({ agentShared: 1, userAgent: 1 })\n\n  /* ------------------------------ Data Groups ------------------------------ */\n  const [tenantSharedGroup, setTenantSharedGroup] = useState<MemoryGroup>({ title: \"\", key: \"tenant\", items: [] })\n  const [agentSharedGroups, setAgentSharedGroups] = useState<MemoryGroup[]>([])\n  const [userPersonalGroup, setUserPersonalGroup] = useState<MemoryGroup>({ title: \"\", key: \"user-personal\", items: [] })\n  const [userAgentGroups, setUserAgentGroups] = useState<MemoryGroup[]>([])\n\n  /* ------------------------------ New Memory State ------------------------------ */\n  const [addingMemoryKey, setAddingMemoryKey] = useState<string | null>(null)\n  const [newMemoryContent, setNewMemoryContent] = useState<string>(\"\")\n  const [isAddingMemory, setIsAddingMemory] = useState<boolean>(false)\n\n  /* --------------------------- Initialization Loading --------------------------- */\n  useEffect(() => {\n    if (!visible) return\n\n    // 1. Load configuration\n    loadMemoryConfig().then((cfg) => {\n      setMemoryEnabledState(cfg.memoryEnabled)\n      setShareOptionState(cfg.shareOption)\n      disableAgentIdSet.current = new Set(cfg.disableAgentIds)\n      disableUserAgentIdSet.current = new Set(cfg.disableUserAgentIds)\n    }).catch((e) => {\n      log.error(\"Failed to load memory config:\", e)\n      message.error(t('useMemory.loadConfigError'))\n    })\n  }, [visible, message])\n\n  /* --------------------------- Load Group Data --------------------------- */\n  useEffect(() => {\n    if (!visible || !memoryEnabled) return\n\n    const loadGroupsForActiveTab = async () => {\n      try {\n        if (activeTabKey === \"tenant\") {\n          const tenantGrp = await fetchTenantSharedGroup()\n          setTenantSharedGroup(tenantGrp)\n        } else if (activeTabKey === \"agentShared\") {\n          const agentGrps = await fetchAgentSharedGroups()\n          setAgentSharedGroups(agentGrps)\n\n          // Sync disabled state\n          const newDisabled: Record<string, boolean> = {}\n          agentGrps.forEach((g) => {\n            const id = g.key.replace(/^agent-/, \"\")\n            if (disableAgentIdSet.current.has(id)) newDisabled[g.key] = true\n          })\n          setDisabledGroups((prev) => ({ ...prev, ...newDisabled }))\n        } else if (activeTabKey === \"userPersonal\") {\n          const userGrp = await fetchUserPersonalGroup()\n          setUserPersonalGroup(userGrp)\n        } else if (activeTabKey === \"userAgent\") {\n          const userAgentGrps = await fetchUserAgentGroups()\n          setUserAgentGroups(userAgentGrps)\n\n          // Sync disabled state\n          const newDisabled: Record<string, boolean> = {}\n          userAgentGrps.forEach((g) => {\n            const id = g.key.replace(/^user-agent-/, \"\")\n            if (disableUserAgentIdSet.current.has(id)) newDisabled[g.key] = true\n          })\n          setDisabledGroups((prev) => ({ ...prev, ...newDisabled }))\n        }\n      } catch (e) {\n        log.error(\"load groups error\", e)\n        const errorMessage = e instanceof Error ? e.message : \"Failed to load memory data\"\n        if (errorMessage.includes(\"Authentication\") || errorMessage.includes(\"ElasticSearch\") || errorMessage.includes(\"connection\")) {\n          message.error(t('useMemory.memoryServiceConnectionError'))\n        } else {\n          message.error(t('useMemory.loadDataError'))\n        }\n      }\n    }\n\n    loadGroupsForActiveTab()\n  }, [visible, memoryEnabled, activeTabKey, currentTenantId, currentUserId])\n\n  /* --------------------------- Utility Methods --------------------------- */\n  const toggleGroup = useCallback((key: string, enabled: boolean) => {\n    setDisabledGroups((prev) => ({ ...prev, [key]: !enabled }))\n\n    const isAgentGroup = key.startsWith(\"agent-\")\n    const isUserAgentGroup = key.startsWith(\"user-agent-\")\n    const agentId = key.split(\"-\").slice(-1)[0]\n\n    if (!enabled) {\n      // Disable -> Add to disabled list\n      if (isAgentGroup) {\n        addDisabledAgentId(agentId)\n        disableAgentIdSet.current.add(agentId)\n      } else if (isUserAgentGroup) {\n        addDisabledUserAgentId(agentId)\n        disableUserAgentIdSet.current.add(agentId)\n      }\n    } else {\n      // Enable -> Remove from disabled list\n      if (isAgentGroup) {\n        removeDisabledAgentId(agentId)\n        disableAgentIdSet.current.delete(agentId)\n      } else if (isUserAgentGroup) {\n        removeDisabledUserAgentId(agentId)\n        disableUserAgentIdSet.current.delete(agentId)\n      }\n    }\n\n    // Collapse panel when disabled\n    if (!enabled) {\n      setOpenKey((prev) => (prev === key ? undefined : prev))\n    }\n  }, [])\n\n  const getGroupsForTab = (tabKey: string): MemoryGroup[] => {\n    switch (tabKey) {\n      case \"tenant\":\n        return [tenantSharedGroup]\n      case \"agentShared\":\n        return agentSharedGroups\n      case \"userPersonal\":\n        return [userPersonalGroup]\n      case \"userAgent\":\n        return userAgentGroups\n      default:\n        return []\n    }\n  }\n\n  /**\n   * Compute memoryLevel and agentId according to current tab & group key.\n   * Abstracted to avoid duplication.\n   */\n  const _computeMemoryParams = (tabKey: string, key: string): { memoryLevel: string; agentId?: string } => {\n    switch (tabKey) {\n      case \"tenant\":\n        return { memoryLevel: \"tenant\" }\n      case \"agentShared\":\n        return { memoryLevel: \"agent\", agentId: key.replace(/^agent-/, \"\") }\n      case \"userPersonal\":\n        return { memoryLevel: \"user\" }\n      case \"userAgent\":\n        return { memoryLevel: \"user_agent\", agentId: key.replace(/^user-agent-/, \"\") }\n      default:\n        return { memoryLevel: \"\" }\n    }\n  }\n\n  // Delay utility: Wait for backend index refresh before refetching data\n  const delay = (ms: number) => new Promise<void>((resolve) => setTimeout(resolve, ms))\n\n  /* ------------------------------ New Memory Related Methods ------------------------------ */\n  const startAddingMemory = useCallback((groupKey: string) => {\n    setAddingMemoryKey(groupKey)\n    setNewMemoryContent(\"\")\n    setOpenKey(groupKey) // Ensure group is expanded\n  }, [])\n\n  const cancelAddingMemory = useCallback(() => {\n    setAddingMemoryKey(null)\n    setNewMemoryContent(\"\")\n  }, [])\n\n  const confirmAddingMemory = useCallback(async () => {\n    if (!addingMemoryKey || !newMemoryContent.trim()) return\n\n    setIsAddingMemory(true)\n    try {\n      // Determine memory_level and agent_id based on current tab and group\n      let memoryLevel = \"\"\n      let agentId: string | undefined\n\n      if (activeTabKey === \"tenant\") {\n        memoryLevel = \"tenant\"\n      } else if (activeTabKey === \"agentShared\") {\n        memoryLevel = \"agent\"\n        agentId = addingMemoryKey.replace(/^agent-/, \"\")\n      } else if (activeTabKey === \"userPersonal\") {\n        memoryLevel = \"user\"\n      } else if (activeTabKey === \"userAgent\") {\n        memoryLevel = \"user_agent\"\n        agentId = addingMemoryKey.replace(/^user-agent-/, \"\")\n      }\n\n      const messages = [{ role: \"user\", content: newMemoryContent.trim() }]\n      // Frontend manually triggers infer=False to avoid calling LLM\n      await addMemory(messages, memoryLevel, agentId, false)\n\n      await delay(600);\n      message.success(t('useMemory.addMemorySuccess'))\n      cancelAddingMemory()\n\n      // Reload current tab data\n      const loadGroupsForActiveTab = async () => {\n        try {\n          if (activeTabKey === \"tenant\") {\n            const tenantGrp = await fetchTenantSharedGroup()\n            setTenantSharedGroup(tenantGrp)\n          } else if (activeTabKey === \"agentShared\") {\n            const agentGrps = await fetchAgentSharedGroups()\n            setAgentSharedGroups(agentGrps)\n          } else if (activeTabKey === \"userPersonal\") {\n            const userGrp = await fetchUserPersonalGroup()\n            setUserPersonalGroup(userGrp)\n          } else if (activeTabKey === \"userAgent\") {\n            const userAgentGrps = await fetchUserAgentGroups()\n            setUserAgentGroups(userAgentGrps)\n          }\n        } catch (e) {\n          log.error(\"Reload groups error:\", e)\n        }\n      }\n      await loadGroupsForActiveTab()\n    } catch (e) {\n      log.error(\"Add memory error:\", e)\n      const errorMessage = e instanceof Error ? e.message : \"Failed to add memory\"\n      if (errorMessage.includes(\"Authentication\") || errorMessage.includes(\"ElasticSearch\")) {\n        message.error(t('useMemory.memoryServiceConnectionError'))\n      } else {\n        message.error(t('useMemory.addMemoryError'))\n      }\n    } finally {\n      setIsAddingMemory(false)\n    }\n  }, [addingMemoryKey, newMemoryContent, activeTabKey, currentTenantId, currentUserId])\n\n  /* ------------------------------ Clear Memory Related Methods ------------------------------ */\n  const handleClearMemory = useCallback(async (groupKey: string, groupTitle: string) => {\n    try {\n      const { memoryLevel, agentId } = _computeMemoryParams(activeTabKey, groupKey)\n      const result = await clearMemory(memoryLevel, agentId)\n      await delay(300);\n      message.success(t('useMemory.clearMemorySuccess', { groupTitle, count: result.deleted_count }))\n\n      // Reload current tab data\n      const loadGroupsForActiveTab = async () => {\n        try {\n          if (activeTabKey === \"tenant\") {\n            const tenantGrp = await fetchTenantSharedGroup()\n            setTenantSharedGroup(tenantGrp)\n          } else if (activeTabKey === \"agentShared\") {\n            const agentGrps = await fetchAgentSharedGroups()\n            setAgentSharedGroups(agentGrps)\n          } else if (activeTabKey === \"userPersonal\") {\n            const userGrp = await fetchUserPersonalGroup()\n            setUserPersonalGroup(userGrp)\n          } else if (activeTabKey === \"userAgent\") {\n            const userAgentGrps = await fetchUserAgentGroups()\n            setUserAgentGroups(userAgentGrps)\n          }\n        } catch (e) {\n          log.error(\"Reload groups error:\", e)\n        }\n      }\n\n      await loadGroupsForActiveTab()\n    } catch (e) {\n      log.error(\"Clear memory error:\", e)\n      const errorMessage = e instanceof Error ? e.message : \"Failed to clear memory\"\n      if (errorMessage.includes(\"Authentication\") || errorMessage.includes(\"ElasticSearch\")) {\n        message.error(t('useMemory.memoryServiceConnectionError'))\n      } else {\n        message.error(t('useMemory.clearMemoryError'))\n      }\n    }\n  }, [activeTabKey, currentTenantId, currentUserId])\n\n  /* ------------------- Delete Memory With Optimistic Update ------------------- */\n  const handleDeleteMemory = useCallback(async (memoryId: string, groupKey: string) => {\n    const { memoryLevel, agentId } = _computeMemoryParams(activeTabKey, groupKey)\n\n    // Local optimistic removal\n    const { removedItem, removedIndex } = _optimisticRemoveItem(memoryId, groupKey)\n\n    // Call the backend to delete, if failed, rollback\n    try {\n      await deleteMemory(memoryId, memoryLevel, agentId)\n      message.success(t('useMemory.deleteMemorySuccess'))\n    } catch (e) {\n      _rollbackRemoveItem(removedItem, removedIndex, groupKey)\n\n      log.error(\"Delete memory error:\", e)\n      const errorMessage = e instanceof Error ? e.message : \"memory delete failed\"\n      if (errorMessage.includes(\"Authentication\") || errorMessage.includes(\"ElasticSearch\")) {\n        message.error(t('useMemory.memoryServiceConnectionError'))\n      } else {\n        message.error(t('useMemory.deleteMemoryError'))\n      }\n    }\n  }, [activeTabKey, currentTenantId, currentUserId])\n\n  /* ---------------------- Expand first group when tab switches ---------------------- */\n  useEffect(() => {\n    const groups = getGroupsForTab(activeTabKey).filter((g) => !disabledGroups[g.key])\n    setOpenKey(groups.length ? groups[0].key : undefined)\n    // eslint-disable-next-line react-hooks/exhaustive-deps\n  }, [activeTabKey, disabledGroups])\n\n  /* ----------------- Expand first group of current tab when modal first opens ---------------- */\n  useEffect(() => {\n    if (visible) {\n      const groups = getGroupsForTab(activeTabKey).filter((g) => !disabledGroups[g.key])\n      setOpenKey(groups.length ? groups[0].key : undefined)\n    }\n    // eslint-disable-next-line react-hooks/exhaustive-deps\n  }, [visible, disabledGroups])\n\n  /* ----------------- Handle when memoryEnabled or shareOption changes ---------------- */\n  useEffect(() => {\n    if (!memoryEnabled && activeTabKey !== \"base\") {\n      setActiveTabKey(\"base\")\n    }\n  }, [memoryEnabled])\n\n  useEffect(() => {\n    if (shareOption === \"never\" && activeTabKey === \"agentShared\") {\n      setActiveTabKey(\"base\")\n    }\n  }, [shareOption])\n\n  // ----------------- Keep openKey valid after pagination switch -----------------\n  useEffect(() => {\n    if (activeTabKey === \"agentShared\" || activeTabKey === \"userAgent\") {\n      const groups = getGroupsForTab(activeTabKey).filter((g) => !disabledGroups[g.key])\n      const currentPage = pageMap[activeTabKey] || 1\n      const startIdx = (currentPage - 1) * pageSize\n      const visibleGroups = groups.slice(startIdx, startIdx + pageSize)\n      if (visibleGroups.length && !visibleGroups.some((g) => g.key === openKey)) {\n        setOpenKey(visibleGroups[0].key)\n      }\n    }\n    // eslint-disable-next-line react-hooks/exhaustive-deps\n  }, [activeTabKey, pageMap])\n\n  /* ------------------- Wrapped setters ------------------- */\n  const setMemoryEnabled = useCallback((enabled: boolean) => {\n    setMemoryEnabledState(enabled)\n    setMemorySwitch(enabled).catch((e) => {\n      log.error(\"setMemorySwitch error:\", e)\n      message.error(t('useMemory.setMemorySwitchError'))\n    })\n  }, [])\n\n  const setShareOption = useCallback((option: \"always\" | \"ask\" | \"never\") => {\n    setShareOptionState(option)\n    setMemoryAgentShare(option).catch((e) => {\n      log.error(\"setMemoryAgentShare error:\", e)\n      message.error(t('useMemory.setMemoryShareOptionError'))\n    })\n  }, [message])\n\n  /**\n   * Optimistically remove a memory item from local state.\n   * Returns the removed item and its index for rollback.\n   */\n  const _optimisticRemoveItem = (\n    id: string,\n    groupKey: string,\n  ): { removedItem?: any; removedIndex: number } => {\n    let removedItem: any | undefined\n    let removedIndex = -1\n\n    const process = (items: any[]): any[] => {\n      const idx = items.findIndex((it: any) => it.id === id)\n      if (idx !== -1) {\n        removedItem = items[idx]\n        removedIndex = idx\n        return items.filter((it: any) => it.id !== id)\n      }\n      return items\n    }\n\n    if (activeTabKey === \"tenant\") {\n      setTenantSharedGroup((prev) => ({ ...prev, items: process(prev.items) }))\n    } else if (activeTabKey === \"agentShared\") {\n      setAgentSharedGroups((prev) => prev.map((g) => (g.key === groupKey ? { ...g, items: process(g.items) } : g)))\n    } else if (activeTabKey === \"userPersonal\") {\n      setUserPersonalGroup((prev) => ({ ...prev, items: process(prev.items) }))\n    } else if (activeTabKey === \"userAgent\") {\n      setUserAgentGroups((prev) => prev.map((g) => (g.key === groupKey ? { ...g, items: process(g.items) } : g)))\n    }\n\n    return { removedItem, removedIndex }\n  }\n\n  /**\n   * Rollback by re-inserting item at original index when optimistic update fails.\n   */\n  const _rollbackRemoveItem = (\n    item: any,\n    index: number,\n    groupKey: string,\n  ) => {\n    if (!item || index < 0) return\n\n    const insert = (items: any[]): any[] => {\n      return [...items.slice(0, index), item, ...items.slice(index)]\n    }\n\n    if (activeTabKey === \"tenant\") {\n      setTenantSharedGroup((prev) => ({ ...prev, items: insert(prev.items) }))\n    } else if (activeTabKey === \"agentShared\") {\n      setAgentSharedGroups((prev) => prev.map((g) => (g.key === groupKey ? { ...g, items: insert(g.items) } : g)))\n    } else if (activeTabKey === \"userPersonal\") {\n      setUserPersonalGroup((prev) => ({ ...prev, items: insert(prev.items) }))\n    } else if (activeTabKey === \"userAgent\") {\n      setUserAgentGroups((prev) => prev.map((g) => (g.key === groupKey ? { ...g, items: insert(g.items) } : g)))\n    }\n  }\n\n  return {\n    // state & setter\n    memoryEnabled,\n    setMemoryEnabled,\n    shareOption,\n    setShareOption,\n    disabledGroups,\n    toggleGroup,\n    openKey,\n    setOpenKey,\n    activeTabKey,\n    setActiveTabKey,\n    pageMap,\n    setPageMap,\n    // computed\n    tenantSharedGroup,\n    agentSharedGroups,\n    userPersonalGroup,\n    userAgentGroups,\n    pageSize,\n    getGroupsForTab,\n    // New memory related\n    addingMemoryKey,\n    newMemoryContent,\n    setNewMemoryContent,\n    isAddingMemory,\n    startAddingMemory,\n    cancelAddingMemory,\n    confirmAddingMemory,\n    // Clear memory related\n    handleClearMemory,\n    // Delete memory related\n    handleDeleteMemory,\n  }\n}\n"
  },
  {
    "path": "frontend/hooks/useModalPosition.ts",
    "content": "import { useState, useEffect } from \"react\";\n\n/**\n * Custom hook for managing modal position and window dimensions\n * Used for positioning tool test panels relative to main modals\n */\nexport const useModalPosition = (isOpen: boolean) => {\n  const [windowWidth, setWindowWidth] = useState<number>(0);\n  const [mainModalTop, setMainModalTop] = useState<number>(0);\n  const [mainModalRight, setMainModalRight] = useState<number>(0);\n\n  // Monitor window width for responsive positioning\n  useEffect(() => {\n    const handleResize = () => {\n      setWindowWidth(window.innerWidth);\n    };\n\n    // Set initial width\n    setWindowWidth(window.innerWidth);\n\n    window.addEventListener(\"resize\", handleResize);\n    return () => window.removeEventListener(\"resize\", handleResize);\n  }, []);\n\n  // Calculate main modal position for tool test panel alignment\n  useEffect(() => {\n    if (!isOpen) return;\n\n    const calculateMainModalPosition = () => {\n      const modalElement = document.querySelector(\".ant-modal\");\n      if (modalElement) {\n        const rect = modalElement.getBoundingClientRect();\n        setMainModalTop(rect.top);\n        setMainModalRight(rect.right);\n      }\n    };\n\n    // Delay calculation to ensure Modal is rendered\n    const timeoutId = setTimeout(calculateMainModalPosition, 100);\n\n    // Use ResizeObserver to track modal size changes\n    const observer = new ResizeObserver((entries) => {\n      for (let entry of entries) {\n        const rect = entry.target.getBoundingClientRect();\n        setMainModalTop(rect.top);\n        setMainModalRight(rect.right);\n      }\n    });\n\n    const modalElement = document.querySelector(\".ant-modal\");\n    if (modalElement) {\n      observer.observe(modalElement);\n    }\n\n    return () => {\n      clearTimeout(timeoutId);\n      observer.disconnect();\n    };\n  }, [isOpen]);\n\n  return {\n    windowWidth,\n    mainModalTop,\n    mainModalRight,\n  };\n};\n"
  },
  {
    "path": "frontend/hooks/useResponsiveTextSize.ts",
    "content": "import { useState, useRef, useEffect } from \"react\";\n\n// Custom Hook - Dynamically adjust font size based on text content\nexport const useResponsiveTextSize = (text: string, containerWidth: number, maxFontSize: number = 24) => {\n    const [fontSize, setFontSize] = useState(maxFontSize);\n    const textRef = useRef<HTMLHeadingElement>(null);\n    \n    useEffect(() => {\n      if (!textRef.current) return;\n      \n      const adjustFontSize = () => {\n        const element = textRef.current;\n        if (!element) return;\n        \n        // Start trying from maximum font size\n        let currentSize = maxFontSize;\n        element.style.fontSize = `${currentSize}px`;\n        \n        // If text overflows, reduce font size until it fits\n        while (element.scrollWidth > containerWidth && currentSize > 12) {\n          currentSize -= 1;\n          element.style.fontSize = `${currentSize}px`;\n        }\n        \n        setFontSize(currentSize);\n      };\n      \n      // Initial adjustment\n      adjustFontSize();\n      \n      // Listen for window size changes\n      window.addEventListener('resize', adjustFontSize);\n      \n      return () => {\n        window.removeEventListener('resize', adjustFontSize);\n      };\n    }, [text, containerWidth, maxFontSize]);\n    \n    return { textRef, fontSize };\n  };"
  },
  {
    "path": "frontend/hooks/useSetupFlow.ts",
    "content": "import {useRouter} from \"next/navigation\";\nimport {useTranslation} from \"react-i18next\";\n\ninterface UseSetupFlowOptions {\n  // Options reserved for future use\n}\n\ninterface UseSetupFlowReturn {\n\n  // Animation config\n  pageVariants: {\n    initial: { opacity: number; x: number };\n    in: { opacity: number; x: number };\n    out: { opacity: number; x: number };\n  };\n  pageTransition: {\n    type: \"tween\";\n    ease: \"anticipate\";\n    duration: number;\n  };\n\n  // Utilities\n  router: ReturnType<typeof useRouter>;\n  t: ReturnType<typeof useTranslation>[\"t\"];\n}\n\n/**\n * useSetupFlow - Custom hook for setup flow pages\n *\n * Provides common functionality for setup pages including:\n * - Page transition animations\n * - Common utilities (router, translation, user info)\n *\n * Note: Authentication and authorization are handled by the global\n * useAuthentication and useAuthorization hooks via route guards.\n *\n * @param options - Configuration options\n * @returns Setup flow utilities and state\n */\nexport function useSetupFlow(options: UseSetupFlowOptions = {}): UseSetupFlowReturn {\n\n  const router = useRouter();\n  const {t} = useTranslation();\n\n  // Animation variants for smooth page transitions\n  const pageVariants = {\n    initial: {\n      opacity: 0,\n      x: 20,\n    },\n    in: {\n      opacity: 1,\n      x: 0,\n    },\n    out: {\n      opacity: 0,\n      x: -20,\n    },\n  };\n\n  const pageTransition = {\n    type: \"tween\" as const,\n    ease: \"anticipate\" as const,\n    duration: 0.4,\n  };\n\n  return {\n    // Animation\n    pageVariants,\n    pageTransition,\n\n    // Utilities\n    router,\n    t,\n  };\n}\n\n"
  },
  {
    "path": "frontend/hooks/user/useUserList.ts",
    "content": "import { useQuery } from \"@tanstack/react-query\";\nimport { listUsers } from \"@/services/userService\";\n\nexport function useUserList(\n  tenantId: string | null,\n  page?: number,\n  pageSize?: number\n) {\n  return useQuery({\n    queryKey: [\"users\", tenantId, page, pageSize],\n    queryFn: () => listUsers(tenantId, page, pageSize),\n    enabled: tenantId !== null,\n    staleTime: 1000 * 30,\n    refetchOnMount: \"always\", // Always refetch when component mounts (e.g., when switching tabs)\n  });\n}\n"
  },
  {
    "path": "frontend/lib/agentDebugErrorCache.ts",
    "content": "/**\n * Agent debug error cache utilities\n * Persists debug errors in localStorage so users can see previous errors\n * when re-entering debug mode for the same agent\n */\n\nconst DEBUG_ERROR_CACHE_KEY = \"nexent_agent_debug_errors\";\n\nexport interface DebugErrorInfo {\n  agentId: number;\n  errorMessage: string;\n  timestamp: number;\n}\n\n/**\n * Get cached debug errors for a specific agent\n * @param agentId The agent ID to get cached errors for\n * @returns The cached error message or null if no cached error\n */\nexport function getCachedDebugError(agentId: number): string | null {\n  if (typeof window === \"undefined\") {\n    return null;\n  }\n\n  try {\n    const cachedData = localStorage.getItem(DEBUG_ERROR_CACHE_KEY);\n    if (!cachedData) {\n      return null;\n    }\n\n    const errors: DebugErrorInfo[] = JSON.parse(cachedData);\n    const agentError = errors.find((e) => e.agentId === agentId);\n\n    return agentError ? agentError.errorMessage : null;\n  } catch (error) {\n    console.warn(\"Failed to read cached debug error:\", error);\n    return null;\n  }\n}\n\n/**\n * Cache a debug error for a specific agent\n * @param agentId The agent ID\n * @param errorMessage The error message to cache\n */\nexport function cacheDebugError(agentId: number, errorMessage: string): void {\n  if (typeof window === \"undefined\") {\n    return;\n  }\n\n  try {\n    const cachedData = localStorage.getItem(DEBUG_ERROR_CACHE_KEY);\n    let errors: DebugErrorInfo[] = cachedData ? JSON.parse(cachedData) : [];\n\n    // Remove existing error for this agent if any\n    errors = errors.filter((e) => e.agentId !== agentId);\n\n    // Add new error\n    errors.push({\n      agentId,\n      errorMessage,\n      timestamp: Date.now(),\n    });\n\n    // Keep only the most recent 10 errors to avoid localStorage bloat\n    if (errors.length > 10) {\n      errors = errors.slice(-10);\n    }\n\n    localStorage.setItem(DEBUG_ERROR_CACHE_KEY, JSON.stringify(errors));\n  } catch (error) {\n    console.warn(\"Failed to cache debug error:\", error);\n  }\n}\n\n/**\n * Clear cached debug error for a specific agent\n * @param agentId The agent ID to clear cached error for\n */\nexport function clearCachedDebugError(agentId: number): void {\n  if (typeof window === \"undefined\") {\n    return;\n  }\n\n  try {\n    const cachedData = localStorage.getItem(DEBUG_ERROR_CACHE_KEY);\n    if (!cachedData) {\n      return;\n    }\n\n    const errors: DebugErrorInfo[] = JSON.parse(cachedData);\n    const filteredErrors = errors.filter((e) => e.agentId !== agentId);\n\n    if (filteredErrors.length === 0) {\n      localStorage.removeItem(DEBUG_ERROR_CACHE_KEY);\n    } else {\n      localStorage.setItem(DEBUG_ERROR_CACHE_KEY, JSON.stringify(filteredErrors));\n    }\n  } catch (error) {\n    console.warn(\"Failed to clear cached debug error:\", error);\n  }\n}\n\n/**\n * Clear all cached debug errors\n */\nexport function clearAllCachedDebugErrors(): void {\n  if (typeof window === \"undefined\") {\n    return;\n  }\n\n  try {\n    localStorage.removeItem(DEBUG_ERROR_CACHE_KEY);\n  } catch (error) {\n    console.warn(\"Failed to clear all cached debug errors:\", error);\n  }\n}\n"
  },
  {
    "path": "frontend/lib/agentLabelMapper.ts",
    "content": "/**\n * Agent Label Mapper Utility\n * Provides unified label mapping for tool sources, agent types, and other labels\n * across the application with i18n support\n */\n\nimport { TFunction } from \"i18next\";\n\n/**\n * Map tool source to localized label\n * @param source - Tool source (local, mcp, langchain, etc.)\n * @param t - Translation function from i18next\n * @returns Localized tool source label\n */\nexport function getToolSourceLabel(source: string, t: TFunction): string {\n  const sourceLower = source?.toLowerCase() || \"\";\n  \n  switch (sourceLower) {\n    case \"local\":\n      return t(\"common.toolSource.local\", \"Local Tool\");\n    case \"mcp\":\n      return t(\"common.toolSource.mcp\", \"MCP Tool\");\n    case \"langchain\":\n      return t(\"common.toolSource.langchain\", \"LangChain Tool\");\n    default:\n      return source;\n  }\n}\n\n/**\n * Map agent type to localized label\n * @param type - Agent type (single agent, multi agent, etc.)\n * @param t - Translation function from i18next\n * @returns Localized agent type label\n */\nexport function getAgentTypeLabel(type: string, t: TFunction): string {\n  const typeLower = type?.toLowerCase() || \"\";\n  \n  switch (typeLower) {\n    case \"single agent\":\n      return t(\"common.agentType.single\", \"Single Agent\");\n    case \"multi agent\":\n      return t(\"common.agentType.multi\", \"Multi Agent\");\n    default:\n      return type;\n  }\n}\n\n/**\n * Map generic tag/label to localized label\n * Handles both tool sources and agent types\n * @param label - Tag or label name\n * @param t - Translation function from i18next\n * @returns Localized label\n */\nexport function getGenericLabel(label: string, t: TFunction): string {\n  const labelLower = label?.toLowerCase() || \"\";\n  \n  // Check tool sources first\n  if ([\"local\", \"mcp\", \"langchain\"].includes(labelLower)) {\n    return getToolSourceLabel(label, t);\n  }\n  \n  // Check agent types\n  if ([\"single agent\", \"multi agent\"].includes(labelLower)) {\n    return getAgentTypeLabel(label, t);\n  }\n  \n  // Return original if no mapping found\n  return label;\n}\n\n/**\n * Map category to localized label (for tool categories)\n * @param category - Category name\n * @param t - Translation function from i18next\n * @returns Localized category label\n */\nexport function getCategoryLabel(category: string, t: TFunction): string {\n  // For now, category mapping is the same as agent type mapping\n  // Can be extended if different mappings are needed\n  return getAgentTypeLabel(category, t);\n}\n\n"
  },
  {
    "path": "frontend/lib/auth.ts",
    "content": "/**\n * Authentication utilities\n *\n * After HttpOnly cookie migration, Authorization headers are injected by\n * server.js proxy layer. Frontend no longer reads or sends JWT tokens directly.\n * Cookies are sent automatically with same-origin requests.\n */\n\nimport { ApiError, fetchWithErrorHandling } from \"@/services/api\";\nimport { generateAvatarUrl as generateAvatar } from \"@/lib/avatar\";\nimport { USER_ROLES } from \"@/const/auth\";\nimport { STATUS_CODES } from \"@/const/auth\";\nimport {\n  checkSessionValid,\n  hasAuthCookies,\n  handleSessionExpired,\n} from \"@/lib/session\";\n\n/**\n * Role color mapping - Ant Design color presets\n */\nconst ROLE_COLORS: Record<string, string> = {\n  [USER_ROLES.SU]: \"red\",\n  [USER_ROLES.ADMIN]: \"purple\",\n  [USER_ROLES.DEV]: \"cyan\",\n  [USER_ROLES.USER]: \"geekblue\",\n  [USER_ROLES.SPEED]: \"green\",\n};\n\n/**\n * Get color corresponding to user role\n * @param role - User role string\n * @returns Ant Design color preset name\n */\nexport function getRoleColor(role: string): string {\n  return ROLE_COLORS[role] || ROLE_COLORS[USER_ROLES.USER];\n}\n\n// Generate avatar based on email (re-export from avatar.tsx for backward compatibility)\nexport function generateAvatarUrl(email: string): string {\n  return generateAvatar(email);\n}\n\n/**\n * Request with content-type header and session expiry pre-check.\n * Authorization is handled automatically via HttpOnly cookies + server.js proxy.\n */\nexport const fetchWithAuth = async (url: string, options: RequestInit = {}) => {\n  // Frontend pre-check: detect session expiry without hitting backend\n  if (typeof window !== \"undefined\") {\n    if (hasAuthCookies() && !checkSessionValid()) {\n      handleSessionExpired();\n      throw new ApiError(\n        STATUS_CODES.TOKEN_EXPIRED,\n        \"Login expired, please login again\"\n      );\n    }\n  }\n\n  const isFormData = options.body instanceof FormData;\n  const headers = {\n    ...(isFormData ? {} : { \"Content-Type\": \"application/json\" }),\n    ...options.headers,\n  };\n\n  return fetchWithErrorHandling(url, {\n    ...options,\n    headers,\n  });\n};\n\n/**\n * Get common headers for API requests.\n * Authorization is handled automatically via HttpOnly cookies + server.js proxy.\n */\nexport const getAuthHeaders = () => {\n  return {\n    \"Content-Type\": \"application/json\",\n    \"User-Agent\": \"AgentFrontEnd/1.0\",\n  };\n};\n\n/**\n * Remove locale prefix from pathname to get effective route\n */\nexport function getEffectiveRoutePath(pathname: string): string {\n  const segments = pathname.split(\"/\").filter(Boolean);\n  if (segments.length > 0 && (segments[0] === \"zh\" || segments[0] === \"en\")) {\n    segments.shift();\n  }\n  return \"/\" + (segments.join(\"/\") || \"\");\n}"
  },
  {
    "path": "frontend/lib/authEvents.ts",
    "content": "/**\n * Authentication and Authorization Event System\n * Provides type-safe event communication between authentication and authorization modules\n */\n\nimport log from \"@/lib/logger\";\nimport { AUTH_EVENTS, AUTHZ_EVENTS } from \"@/const/auth\";\n\n// Event emitter for authentication events\nclass AuthEventEmitter {\n  emit<K extends keyof import(\"@/types/auth\").AuthEvents>(\n    event: K,\n    data?: import(\"@/types/auth\").AuthEvents[K]\n  ) {\n    log.debug(`Auth event emitted: ${event}`, data);\n    window.dispatchEvent(new CustomEvent(event, { detail: data }));\n  }\n\n  on<K extends keyof import(\"@/types/auth\").AuthEvents>(\n    event: K,\n    handler: (data?: import(\"@/types/auth\").AuthEvents[K]) => void\n  ) {\n    const listener = (e: CustomEvent) => handler(e.detail);\n    window.addEventListener(event, listener as EventListener);\n\n    // Return cleanup function\n    return () => {\n      window.removeEventListener(event, listener as EventListener);\n    };\n  }\n}\n\n// Event emitter for authorization events\nclass AuthzEventEmitter {\n  emit<K extends keyof import(\"@/types/auth\").AuthzEvents>(\n    event: K,\n    data?: import(\"@/types/auth\").AuthzEvents[K]\n  ) {\n    log.debug(`Authz event emitted: ${event}`, data);\n    window.dispatchEvent(new CustomEvent(event, { detail: data }));\n  }\n\n  on<K extends keyof import(\"@/types/auth\").AuthzEvents>(\n    event: K,\n    handler: (data?: import(\"@/types/auth\").AuthzEvents[K]) => void\n  ) {\n    const listener = (e: CustomEvent) => handler(e.detail);\n    window.addEventListener(event, listener as EventListener);\n\n    // Return cleanup function\n    return () => {\n      window.removeEventListener(event, listener as EventListener);\n    };\n  }\n}\n\n// Global instances\nexport const authEvents = new AuthEventEmitter();\nexport const authzEvents = new AuthzEventEmitter();\n\n// Utility functions for common auth events\nexport const authEventUtils = {\n  emitLoginSuccess: () => authEvents.emit(AUTH_EVENTS.LOGIN_SUCCESS),\n  emitRegisterSuccess: () => authEvents.emit(AUTH_EVENTS.REGISTER_SUCCESS),\n  emitLogout: () => authEvents.emit(AUTH_EVENTS.LOGOUT),\n  emitSessionExpired: () => authEvents.emit(AUTH_EVENTS.SESSION_EXPIRED),\n  emitTokenRefreshed: () => authEvents.emit(AUTH_EVENTS.TOKEN_REFRESHED),\n  emitServiceUnavailable: () =>\n    authEvents.emit(AUTH_EVENTS.SERVICE_UNAVAILABLE),\n  emitBackToHome: () =>\n    authEvents.emit(AUTH_EVENTS.BACK_TO_HOME),\n};\n\nexport const authzEventUtils = {\n  emitPermissionsReady: (\n    userData: import(\"@/types/auth\").User & {\n      permissions: string[];\n      accessibleRoutes: string[];\n    }\n  ) => authzEvents.emit(AUTHZ_EVENTS.PERMISSIONS_READY, userData),\n  emitPermissionsUpdated: () =>\n    authzEvents.emit(AUTHZ_EVENTS.PERMISSIONS_UPDATED),\n};\n"
  },
  {
    "path": "frontend/lib/avatar.tsx",
    "content": "import { createAvatar } from '@dicebear/core';\nimport * as iconStyle from '@dicebear/icons';\n\nimport { presetIcons } from \"@/const/avatar\"\nimport log from \"@/lib/logger\";\nimport type { AppConfig } from '@/types/modelConfig';\n\n// Seeded random number generator\nclass SeededRandom {\n  private seed: number;\n\n  constructor(seed: string) {\n    // Convert string to numeric seed\n    this.seed = Array.from(seed).reduce((acc, char) => {\n      return acc + char.charCodeAt(0);\n    }, 0);\n  }\n\n  // Generate random number between 0 and 1\n  random(): number {\n    const x = Math.sin(this.seed++) * 10000;\n    return x - Math.floor(x);\n  }\n\n  // Generate random integer within specified range\n  randomInt(min: number, max: number): number {\n    return Math.floor(this.random() * (max - min + 1)) + min;\n  }\n}\n\n// Directly generate avatar URI and return\nexport const generateAvatarUri = (icon: string, color: string, size: number = 30, scale: number = 80): string => {\n  const selectedIcon = presetIcons.find(preset => preset.key === icon) || presetIcons[0];\n  const mainColor = color.replace(\"#\", \"\");\n  const secondaryColor = generateComplementaryColor(mainColor);\n  \n  const avatar = createAvatar(iconStyle, {\n    seed: selectedIcon.icon,\n    backgroundColor: [mainColor, secondaryColor],\n    backgroundType: [\"gradientLinear\"], \n    icon: [selectedIcon.key],\n    scale: scale,\n    size: size,\n    radius: 50\n  });\n  \n  return avatar.toDataUri();\n};\n\n// Helper function to get avatar URL based on configuration\nexport const getAvatarUrl = (config: AppConfig, size: number = 30, scale: number = 80): string => {\n  if (config.iconType === \"custom\" && config.customIconUrl) {\n    // Return custom image URL\n    return config.customIconUrl;\n  } else if (config.avatarUri) {\n    // If pre-generated URI exists, return directly\n    return config.avatarUri;\n  } else {\n    // Default return first preset icon\n    const defaultIcon = presetIcons[0];\n    const mainColor = \"2689cb\";\n    const secondaryColor = generateComplementaryColor(mainColor);\n\n    const avatar = createAvatar(iconStyle, {\n      seed: mainColor,\n      backgroundColor: [mainColor, secondaryColor],\n      backgroundType: [\"gradientLinear\"], \n      icon: [defaultIcon.key],\n      scale: scale,\n      size: size,\n      radius: 50\n    });\n\n    return avatar.toDataUri();\n  }\n};\n\n/**\n * Generate random complementary color based on main color\n * @param mainColor Main color (hex color value, with or without # prefix)\n * @returns Generated secondary color (hex color value, without # prefix)\n */\nexport const generateComplementaryColor = (mainColor: string): string => {\n  // Remove possible # prefix\n  const colorHex = mainColor.replace('#', '');\n  \n  // Convert hex color to RGB\n  const r = parseInt(colorHex.substring(0, 2), 16);\n  const g = parseInt(colorHex.substring(2, 4), 16);\n  const b = parseInt(colorHex.substring(4, 6), 16);\n  \n  // Use color value as random number seed\n  const random = new SeededRandom(colorHex);\n  \n  // Generate random variation direction (several common variation patterns)\n  const variation = random.randomInt(0, 3);\n  \n  let newR = r, newG = g, newB = b;\n  \n  switch(variation) {\n    case 0: // Darken - generate darker color\n      newR = Math.max(0, r - 40 - random.randomInt(0, 30));\n      newG = Math.max(0, g - 40 - random.randomInt(0, 30));\n      newB = Math.max(0, b - 40 - random.randomInt(0, 30));\n      break;\n    case 1: // Brighten - generate brighter color\n      newR = Math.min(255, r + 40 + random.randomInt(0, 30));\n      newG = Math.min(255, g + 40 + random.randomInt(0, 30));\n      newB = Math.min(255, b + 40 + random.randomInt(0, 30));\n      break;\n    case 2: // Similar color - fine-tune one or two RGB channels\n      const channel = random.randomInt(0, 2);\n      if (channel === 0) {\n        newR = Math.min(255, Math.max(0, r + random.randomInt(0, 120) - 60));\n      } else if (channel === 1) {\n        newG = Math.min(255, Math.max(0, g + random.randomInt(0, 120) - 60));\n      } else {\n        newB = Math.min(255, Math.max(0, b + random.randomInt(0, 120) - 60));\n      }\n      break;\n    case 3: // HSL adjustment - convert to HSL then adjust hue\n      const [h, s, l] = rgbToHsl(r, g, b);\n      const newH = (h + 0.05 + random.random() * 0.2) % 1; // Adjust hue ±30-90 degrees\n      const [adjR, adjG, adjB] = hslToRgb(newH, s, l);\n      newR = adjR;\n      newG = adjG;\n      newB = adjB;\n      break;\n  }\n  \n  // Ensure RGB values are within valid range\n  newR = Math.min(255, Math.max(0, Math.round(newR)));\n  newG = Math.min(255, Math.max(0, Math.round(newG)));\n  newB = Math.min(255, Math.max(0, Math.round(newB)));\n  \n  // Convert back to hexadecimal\n  return ((1 << 24) + (newR << 16) + (newG << 8) + newB).toString(16).slice(1);\n}\n\n// Helper function: RGB to HSL\nfunction rgbToHsl(r: number, g: number, b: number): [number, number, number] {\n  r /= 255;\n  g /= 255;\n  b /= 255;\n  \n  const max = Math.max(r, g, b);\n  const min = Math.min(r, g, b);\n  let h = 0, s = 0, l = (max + min) / 2;\n  \n  if (max !== min) {\n    const d = max - min;\n    s = l > 0.5 ? d / (2 - max - min) : d / (max + min);\n    \n    switch(max) {\n      case r: h = (g - b) / d + (g < b ? 6 : 0); break;\n      case g: h = (b - r) / d + 2; break;\n      case b: h = (r - g) / d + 4; break;\n    }\n    \n    h /= 6;\n  }\n  \n  return [h, s, l];\n}\n\n// Helper function: HSL to RGB\nfunction hslToRgb(h: number, s: number, l: number): [number, number, number] {\n  let r, g, b;\n  \n  if (s === 0) {\n    r = g = b = l; // Gray\n  } else {\n    const hue2rgb = (p: number, q: number, t: number) => {\n      if (t < 0) t += 1;\n      if (t > 1) t -= 1;\n      if (t < 1/6) return p + (q - p) * 6 * t;\n      if (t < 1/2) return q;\n      if (t < 2/3) return p + (q - p) * (2/3 - t) * 6;\n      return p;\n    };\n    \n    const q = l < 0.5 ? l * (1 + s) : l + s - l * s;\n    const p = 2 * l - q;\n    \n    r = hue2rgb(p, q, h + 1/3);\n    g = hue2rgb(p, q, h);\n    b = hue2rgb(p, q, h - 1/3);\n  }\n  \n  return [Math.round(r * 255), Math.round(g * 255), Math.round(b * 255)];\n}\n\n/**\n * Generate avatar from name (for agent avatars)\n * @param name Agent name or display name\n * @param size Avatar size (default: 30)\n * @param scale Scale percentage (default: 80)\n * @returns Generated avatar data URI\n */\nexport const generateAvatarFromName = (name: string, size: number = 30, scale: number = 80): string => {\n  // Use name as seed to generate consistent color\n  const seed = name || \"default\";\n  const random = new SeededRandom(seed);\n  \n  // Generate main color from name\n  const r = random.randomInt(50, 200);\n  const g = random.randomInt(50, 200);\n  const b = random.randomInt(50, 200);\n  const mainColor = ((1 << 24) + (r << 16) + (g << 8) + b).toString(16).slice(1);\n  const secondaryColor = generateComplementaryColor(mainColor);\n  \n  // Select icon based on name\n  const iconIndex = random.randomInt(0, presetIcons.length - 1);\n  const selectedIcon = presetIcons[iconIndex];\n  \n  const avatar = createAvatar(iconStyle, {\n    seed: seed,\n    backgroundColor: [mainColor, secondaryColor],\n    backgroundType: [\"gradientLinear\"], \n    icon: [selectedIcon.key],\n    scale: scale,\n    size: size,\n    radius: 50\n  });\n  \n  return avatar.toDataUri();\n};\n\n/**\n * Generate avatar from email or identifier (for user avatars)\n * @param identifier Email or other identifier\n * @param size Avatar size (default: 30)\n * @param scale Scale percentage (default: 80)\n * @returns Generated avatar data URI\n */\nexport const generateAvatarUrl = (identifier: string, size: number = 30, scale: number = 80): string => {\n  return generateAvatarFromName(identifier, size, scale);\n};\n\n/**\n * Extract main and secondary colors from Dicebear generated Data URI, reserved for app name use\n * @param dataUri Dicebear generated avatar data URI\n * @returns Object containing mainColor and secondaryColor, color values without # prefix\n */\nexport const extractColorsFromUri = (dataUri: string): { mainColor: string | null, secondaryColor: string | null } =>  {\n  // Default return value\n  const result = { \n    mainColor: \"\", \n    secondaryColor: \"\" \n  };\n  \n  try {\n    // Check if it's a Data URI\n    if (!dataUri || !dataUri.startsWith('data:')) {\n      return result;\n    }\n    \n    // Extract Base64 or URL encoded content\n    let svgContent = '';\n    if (dataUri.includes('base64')) {\n      // Handle Base64 encoding\n      const base64Content = dataUri.split(',')[1];\n      svgContent = atob(base64Content); // Decode Base64\n    } else {\n      // Handle URL encoding\n      const uriContent = dataUri.split(',')[1];\n      svgContent = decodeURIComponent(uriContent);\n    }\n    \n    // Find linear gradient definition\n    const gradientMatch = svgContent.match(/<linearGradient[^>]*>([\\s\\S]*?)<\\/linearGradient>/);\n    if (!gradientMatch) {\n      // If no gradient, find background fill color\n      const fillMatch = svgContent.match(/fill=\"(#[0-9a-fA-F]{6})\"/);\n      if (fillMatch && fillMatch[1]) {\n        result.mainColor = fillMatch[1].replace('#', '');\n      }\n      return result;\n    }\n    \n    // Extract colors from gradient\n    const stopMatches = svgContent.matchAll(/<stop[^>]*stop-color=\"(#[0-9a-fA-F]{6})\"[^>]*>/g);\n    const colors: string[] = [];\n    \n    for (const match of stopMatches) {\n      if (match[1]) {\n        colors.push(match[1].replace('#', ''));\n      }\n    }\n    \n    // Usually first is main color, second is secondary color\n    if (colors.length >= 1) {\n      result.mainColor = colors[0];\n    }\n    if (colors.length >= 2) {\n      result.secondaryColor = colors[1];\n    }\n    \n  } catch (error) {\n    log.error('Error extracting colors:', error);\n  }\n  \n  return result;\n}"
  },
  {
    "path": "frontend/lib/clipboard.ts",
    "content": "export async function copyToClipboard(text: string): Promise<void> {\n  // Normalize line breaks: trim blank lines at the start/end and collapse >2 line breaks\n  const normalizedText = text\n    .replace(/^\\n+|\\n+$/g, '')\n    .replace(/\\n{3,}/g, '\\n\\n');\n\n  // Prefer modern Clipboard API when available & permitted\n  if (typeof navigator !== 'undefined' && navigator.clipboard && navigator.clipboard.writeText) {\n    try {\n      await navigator.clipboard.writeText(normalizedText);\n      return;\n    } catch (error) {\n      // Continue to fallback approach if Clipboard API is unavailable or permission is denied\n    }\n  }\n\n  // Fallback: use a hidden textarea + execCommand\n  return new Promise<void>((resolve, reject) => {\n    try {\n      const textArea = document.createElement('textarea');\n      textArea.value = normalizedText;\n      textArea.style.position = 'fixed';\n      textArea.style.left = '-9999px';\n      textArea.style.top = '0';\n      document.body.appendChild(textArea);\n      textArea.focus();\n      textArea.select();\n\n      const successful = document.execCommand('copy');\n      document.body.removeChild(textArea);\n\n      if (successful) {\n        resolve();\n      } else {\n        reject(new Error('execCommand failed'));\n      }\n    } catch (err) {\n      reject(err instanceof Error ? err : new Error(String(err)));\n    }\n  });\n}"
  },
  {
    "path": "frontend/lib/date.ts",
    "content": "/**\n * Format a date string or Date object to YYYY-MM-DD format\n * @param date - Date string (ISO format or other formats) or Date object\n * @returns Formatted date string in YYYY-MM-DD format, or undefined if input is invalid\n */\nexport function formatDate(date: string | Date | null | undefined): string | undefined {\n  if (!date) {\n    return undefined;\n  }\n\n  const dateObj = new Date(date);\n  if (isNaN(dateObj.getTime())) {\n    return undefined;\n  }\n\n  const year = dateObj.getFullYear();\n  const month = String(dateObj.getMonth() + 1).padStart(2, \"0\");\n  const day = String(dateObj.getDate()).padStart(2, \"0\");\n\n  return `${year}-${month}-${day}`;\n}\n"
  },
  {
    "path": "frontend/lib/language.ts",
    "content": "import { usePathname } from \"next/navigation\";\nimport { useTranslation } from \"react-i18next\";\n\nexport const useLanguageSwitch = () => {\n  const pathname = usePathname();\n  const { i18n } = useTranslation();\n\n  const handleLanguageChange = (newLang: string) => {\n    document.cookie = `NEXT_LOCALE=${newLang}; path=/; max-age=31536000`;\n    \n    // Compute new path: replace the first segment (locale) with newLang\n    const segments = pathname.split('/').filter(Boolean);\n    if (segments.length > 0 && (segments[0] === 'zh' || segments[0] === 'en')) {\n      segments[0] = newLang;\n    } else {\n      segments.unshift(newLang);\n    }\n    const newPath = '/' + segments.join('/');\n    \n    // Force a full page reload to ensure proper language switching and component refresh\n    window.location.href = newPath;\n  };\n\n  // Get the opposite language for switching (used in main page)\n  const getOppositeLanguage = () => {\n    return i18n.language === 'zh' ? { lang: 'en', label: 'English' } : { lang: 'zh', label: '中文' };\n  };\n\n  return {\n    currentLanguage: i18n.language,\n    handleLanguageChange,\n    getOppositeLanguage\n  };\n}; "
  },
  {
    "path": "frontend/lib/logger.ts",
    "content": "/**\n * Logger utility for development and production environments\n * In development: logs are printed to console\n * In production: logs are suppressed\n */\n\nimport { isProduction } from \"@/const/constants\";\n\nconst log = isProduction\n  ? {\n      debug: () => {},\n      info: () => {},\n      warn: () => {},\n      error: () => {},\n      log: () => {},\n    }\n  : {\n      debug: (message: any, ...args: any[]) => {\n        console.debug(`[DEBUG] ${message}`, ...args);\n      },\n      info: (message: any, ...args: any[]) => {\n        console.info(`[INFO] ${message}`, ...args);\n      },\n      warn: (message: any, ...args: any[]) => {\n        console.warn(`[WARN] ${message}`, ...args);\n      },\n      error: (message: any, ...args: any[]) => {\n        console.error(`[ERROR] ${message}`, ...args);\n      },\n      log: (message: any, ...args: any[]) => {\n        console.log(`[LOG] ${message}`, ...args);\n      },\n    };\n\nexport default log;\n"
  },
  {
    "path": "frontend/lib/providerError.ts",
    "content": "/**\n * Provider Error Utility\n *\n * Centralized error handling and translation for model providers.\n * Provides consistent error messages across different providers (ModelEngine, SiliconFlow, etc.)\n */\n\nimport type { TFunction } from \"i18next\";\n\n/**\n * Error types returned by provider APIs\n */\nexport type ProviderErrorType =\n  | \"no_models\"\n  | \"connection_failed\"\n  | \"authentication_failed\"\n  | \"access_denied\"\n  | \"endpoint_not_found\"\n  | \"server_error\"\n  | \"timeout\"\n  | \"ssl_error\"\n  | \"unknown\";\n\n/**\n * Provider error information\n */\nexport interface ProviderError {\n  type: ProviderErrorType;\n  message: string;\n  provider?: string;\n  httpCode?: number;\n}\n\n/**\n * Provider display names (for error messages)\n */\nexport const PROVIDER_DISPLAY_NAMES: Record<string, string> = {\n  modelengine: \"ModelEngine\",\n  silicon: \"SiliconFlow\",\n  openai: \"OpenAI\",\n  default: \"Provider\",\n};\n\n/**\n * Detect error type from error response or message\n */\nexport function detectProviderError(errorResponse: unknown): ProviderErrorType {\n  if (!errorResponse || typeof errorResponse !== \"object\") {\n    return \"unknown\";\n  }\n\n  const error = errorResponse as Record<string, unknown>;\n  const errorCode = error._error as string;\n  const errorMessage = ((error._message as string) || \"\").toLowerCase();\n  const httpCode = error.httpCode as number;\n\n  // Check error code first\n  if (errorCode) {\n    switch (errorCode) {\n      case \"authentication_failed\":\n        return \"authentication_failed\";\n      case \"access_forbidden\":\n        return \"access_denied\";\n      case \"endpoint_not_found\":\n        return \"endpoint_not_found\";\n      case \"server_error\":\n        return \"server_error\";\n      case \"connection_failed\":\n        return \"connection_failed\";\n      case \"timeout\":\n        return \"timeout\";\n      case \"ssl_error\":\n        return \"ssl_error\";\n    }\n  }\n\n  // Check HTTP status code\n  if (httpCode) {\n    if (httpCode === 401) {\n      return \"authentication_failed\";\n    } else if (httpCode === 403) {\n      return \"access_denied\";\n    } else if (httpCode === 404) {\n      return \"endpoint_not_found\";\n    } else if (httpCode >= 500) {\n      return \"server_error\";\n    } else if (httpCode >= 400) {\n      return \"connection_failed\";\n    }\n  }\n\n  // Check error message patterns\n  if (\n    errorMessage.includes(\"authentication\") ||\n    errorMessage.includes(\"invalid api key\") ||\n    errorMessage.includes(\"unauthorized\")\n  ) {\n    return \"authentication_failed\";\n  }\n\n  if (\n    errorMessage.includes(\"access denied\") ||\n    errorMessage.includes(\"forbidden\") ||\n    errorMessage.includes(\"permission\")\n  ) {\n    return \"access_denied\";\n  }\n\n  if (\n    errorMessage.includes(\"endpoint\") ||\n    errorMessage.includes(\"not found\") ||\n    errorMessage.includes(\"404\")\n  ) {\n    return \"endpoint_not_found\";\n  }\n\n  if (errorMessage.includes(\"timeout\") || errorMessage.includes(\"timed out\")) {\n    return \"timeout\";\n  }\n\n  if (errorMessage.includes(\"ssl\") || errorMessage.includes(\"certificate\")) {\n    return \"ssl_error\";\n  }\n\n  if (\n    errorMessage.includes(\"server error\") ||\n    errorMessage.includes(\"http 5\")\n  ) {\n    return \"server_error\";\n  }\n\n  if (\n    errorMessage.includes(\"connection\") ||\n    errorMessage.includes(\"network\") ||\n    errorMessage.includes(\"failed to connect\")\n  ) {\n    return \"connection_failed\";\n  }\n\n  return \"unknown\";\n}\n\n/**\n * Translate provider error to user-friendly message\n */\nexport function translateProviderError(\n  error: ProviderError,\n  provider: string,\n  t: TFunction\n): string {\n  const displayName =\n    PROVIDER_DISPLAY_NAMES[provider.toLowerCase()] ||\n    PROVIDER_DISPLAY_NAMES.default;\n\n  switch (error.type) {\n    case \"no_models\":\n      return t(\"model.dialog.error.provider.noModels\", {\n        provider: displayName,\n      });\n\n    case \"authentication_failed\":\n      return t(\"model.dialog.error.provider.authenticationFailed\", {\n        provider: displayName,\n      });\n\n    case \"access_denied\":\n      return t(\"model.dialog.error.provider.accessDenied\");\n\n    case \"endpoint_not_found\":\n      return t(\"model.dialog.error.provider.endpointNotFound\");\n\n    case \"server_error\":\n      return t(\"model.dialog.error.provider.serverError\", {\n        provider: displayName,\n        code: error.httpCode || 500,\n      });\n\n    case \"timeout\":\n      return t(\"model.dialog.error.provider.timeout\");\n\n    case \"ssl_error\":\n      return t(\"model.dialog.error.provider.sslError\");\n\n    case \"connection_failed\":\n      return t(\"model.dialog.error.provider.connectionFailed\", {\n        provider: displayName,\n      });\n\n    case \"unknown\":\n    default:\n      // Use the original message if available, otherwise use generic connection failed\n      if (error.message) {\n        return error.message;\n      }\n      return t(\"model.dialog.error.provider.connectionFailed\", {\n        provider: displayName,\n      });\n  }\n}\n\n/**\n * Process provider API response and return user-friendly error if applicable\n */\nexport function processProviderResponse<T extends Record<string, unknown>>(\n  response: T[],\n  provider: string,\n  t: TFunction\n): { models: T[]; error?: string } {\n  // Check if response contains error indicator\n  if (response && response.length > 0 && response[0]._error) {\n    const errorType = detectProviderError(response[0]);\n    const error: ProviderError = {\n      type: errorType,\n      message: response[0]._message as string,\n      provider,\n      httpCode: response[0].httpCode as number,\n    };\n    return {\n      models: [],\n      error: translateProviderError(error, provider, t),\n    };\n  }\n\n  // Check for empty response (successful call but no models)\n  if (!response || response.length === 0) {\n    return {\n      models: [],\n      error: translateProviderError(\n        { type: \"no_models\", message: \"\" },\n        provider,\n        t\n      ),\n    };\n  }\n\n  return { models: response };\n}\n"
  },
  {
    "path": "frontend/lib/session.ts",
    "content": "/**\n * Session utilities\n * Pure functions for session management - no React dependencies\n *\n * After HttpOnly cookie migration:\n * - Tokens (access_token, refresh_token) are stored in HttpOnly cookies by server.js\n * - expires_at is stored in a non-HttpOnly cookie readable by frontend JS\n * - User info is stored in localStorage (non-sensitive display data)\n */\n\nimport { COOKIE_NAMES, STORAGE_KEYS } from \"@/const/auth\";\nimport { Session } from \"@/types/auth\";\nimport { User } from \"@/types/auth\";\nimport { authEventUtils } from \"@/lib/authEvents\";\nimport log from \"@/lib/logger\";\n\n// Flag to prevent duplicate session expiration handling\nlet isHandlingSessionExpired = false;\n\n/**\n * Read a cookie value by name from document.cookie\n */\nfunction getCookieValue(name: string): string | null {\n  if (typeof document === \"undefined\") return null;\n  const match = document.cookie\n    .split(\"; \")\n    .find((row) => row.startsWith(`${name}=`));\n  return match ? decodeURIComponent(match.split(\"=\")[1]) : null;\n}\n\n/**\n * Clear a cookie by setting it to expire immediately\n */\nfunction clearCookie(name: string): void {\n  if (typeof document === \"undefined\") return;\n  document.cookie = `${name}=; path=/; max-age=0`;\n}\n\n/**\n * Get token expiry timestamp from the non-HttpOnly cookie\n */\nexport const getTokenExpiresAt = (): number | null => {\n  const value = getCookieValue(COOKIE_NAMES.EXPIRES_AT);\n  if (!value) return null;\n  const num = Number(value);\n  return isNaN(num) ? null : num;\n};\n\n/**\n * Check if an authenticated session exists (cookie-based)\n */\nexport const hasAuthCookies = (): boolean => {\n  return getTokenExpiresAt() !== null;\n};\n\n/**\n * Save user info to localStorage (non-sensitive display data only)\n */\nexport const saveUserToStorage = (user: User): void => {\n  if (typeof window !== \"undefined\") {\n    localStorage.setItem(STORAGE_KEYS.USER_INFO, JSON.stringify(user));\n  }\n};\n\n/**\n * Get user info from localStorage\n */\nexport const getUserFromStorage = (): User | null => {\n  try {\n    const stored =\n      typeof window !== \"undefined\"\n        ? localStorage.getItem(STORAGE_KEYS.USER_INFO)\n        : null;\n    if (!stored) return null;\n    return JSON.parse(stored);\n  } catch (error) {\n    log.error(\"Failed to parse user info:\", error);\n    return null;\n  }\n};\n\n/**\n * Remove user info from localStorage\n */\nexport const removeUserFromStorage = (): void => {\n  if (typeof window !== \"undefined\") {\n    localStorage.removeItem(STORAGE_KEYS.USER_INFO);\n    localStorage.removeItem(STORAGE_KEYS.SESSION); // clean up legacy key\n  }\n};\n\n/**\n * Build a Session object from available sources.\n * Tokens are no longer accessible; only expires_at is available from cookie.\n */\nexport const getSessionFromStorage = (): Session | null => {\n  const expiresAt = getTokenExpiresAt();\n  if (expiresAt === null) return null;\n  return { expires_at: expiresAt };\n};\n\n/**\n * Save session to storage — kept for backward compatibility.\n * In the new model only expires_at is meaningful, and it's set via cookie by server.js.\n * This function now saves user info if provided on the session object.\n */\nexport const saveSessionToStorage = (session: Session): void => {\n  // No-op for tokens — they are managed by server.js HttpOnly cookies.\n  // The expires_at cookie is also set by server.js.\n};\n\n/**\n * Remove session (clear the non-HttpOnly expires_at cookie and localStorage user info)\n */\nexport const removeSessionFromStorage = (): void => {\n  clearCookie(COOKIE_NAMES.EXPIRES_AT);\n  removeUserFromStorage();\n};\n\n/**\n * Check if session is valid (cookie exists and not expired)\n */\nexport const checkSessionValid = (): boolean => {\n  const expiresAt = getTokenExpiresAt();\n  if (expiresAt === null) return false;\n\n  const now = Date.now();\n  return expiresAt * 1000 > now;\n};\n\n/**\n * Check if session has expired\n */\nexport const checkSessionExpired = (): boolean => {\n  return !checkSessionValid();\n};\n\n/**\n * Clear session and emit expired event\n * Unified handling for session expiration with duplicate prevention\n */\nexport const handleSessionExpired = (): void => {\n  if (isHandlingSessionExpired) {\n    return;\n  }\n  isHandlingSessionExpired = true;\n\n  log.info(\"Session expired, clearing and emitting event\");\n  removeSessionFromStorage();\n\n  setTimeout(() => {\n    authEventUtils.emitSessionExpired();\n  }, 0);\n\n  setTimeout(() => {\n    isHandlingSessionExpired = false;\n  }, 300);\n};\n"
  },
  {
    "path": "frontend/lib/utils.ts",
    "content": "import { clsx, type ClassValue } from \"clsx\"\nimport { twMerge } from \"tailwind-merge\"\nimport { CircleCheck, XCircle, LoaderCircle } from \"lucide-react\"\nimport { DOCUMENT_STATUS } from \"@/const/knowledgeBase\"\nimport React from 'react'\nimport log from \"@/lib/logger\";\n\nexport function cn(...inputs: ClassValue[]) {\n  return twMerge(clsx(inputs))\n}\n\n// Get status priority\nfunction getStatusPriority(status: string): number {\n  switch (status) {\n    case DOCUMENT_STATUS.WAIT_FOR_PROCESSING: // Waiting for processing\n      return 1;\n    case DOCUMENT_STATUS.PROCESSING: // Processing\n      return 2;\n    case DOCUMENT_STATUS.WAIT_FOR_FORWARDING: // Waiting for forwarding\n      return 3;\n    case DOCUMENT_STATUS.FORWARDING: // Forwarding\n      return 4;\n    case DOCUMENT_STATUS.COMPLETED: // Processing completed\n      return 5;\n    case DOCUMENT_STATUS.PROCESS_FAILED: // Processing failed\n      return 6;\n    case DOCUMENT_STATUS.FORWARD_FAILED: // Forwarding failed\n      return 7;\n    default:\n      return 8;\n  }\n}\n\n// Sort by status and date\nexport function sortByStatusAndDate<T extends { status: string; create_time: string }>(items: T[]): T[] {\n  return [...items].sort((a, b) => {\n    // First sort by status priority\n    const statusPriorityA = getStatusPriority(a.status);\n    const statusPriorityB = getStatusPriority(b.status);\n    \n    if (statusPriorityA !== statusPriorityB) {\n      return statusPriorityA - statusPriorityB;\n    }\n    \n    // When the status is the same, sort by date (from new to old)\n    const dateA = new Date(a.create_time).getTime();\n    const dateB = new Date(b.create_time).getTime();\n    return dateB - dateA;\n  });\n}\n\n// Format file size\nexport function formatFileSize(bytes: number): string {\n  if (bytes === 0) return '0 B';\n  const k = 1024;\n  const sizes = ['B', 'KB', 'MB', 'GB', 'TB'];\n  const i = Math.floor(Math.log(bytes) / Math.log(k));\n  return `${parseFloat((bytes / Math.pow(k, i)).toFixed(2))} ${sizes[i]}`;\n}\n\n// Format date\nexport function formatDate(dateString: string): string {\n  try {\n    const date = new Date(dateString)\n    if (isNaN(date.getTime())) {\n      return \"\"\n    }\n    const year = date.getFullYear();\n    const month = String(date.getMonth() + 1).padStart(2, '0');\n    const day = String(date.getDate()).padStart(2, '0');\n    \n    return `${year}-${month}-${day}`;\n  } catch (error) {\n    return \"\"\n  }\n}\n\n// Format URL display\n// TODO: Type should not be defined here\nexport interface SearchResultUrl {\n  source_type?: string;\n  url?: string;\n  filename?: string;\n}\n\nexport function formatUrl(result: SearchResultUrl): string {\n  try {\n    if (!result.source_type) return \"\"\n    \n    if (result.source_type === \"url\") {\n      if (!result.url || result.url === \"#\") return \"\"\n      return result.url.replace(/(^\\w+:|^)\\/\\//, '').split('/')[0]\n    } else if (result.source_type === \"file\") {\n      if (!result.filename) return \"\"\n      return result.filename\n    }\n    return \"\"\n  } catch (error) {\n    return \"\"\n  }\n}\n\n/**\n * URL parameter retrieval utility function\n * @param paramName Parameter name\n * @param defaultValue Default value\n * @param transform Transform function (optional)\n * @returns Parameter value\n */\nexport function getUrlParam<T>(\n  paramName: string, \n  defaultValue: T, \n  transform?: (value: string) => T\n): T {\n  if (typeof window === 'undefined') return defaultValue\n  \n  try {\n    const url = new URL(window.location.href)\n    const paramValue = url.searchParams.get(paramName)\n    \n    if (paramValue === null) return defaultValue\n    \n    if (transform) {\n      return transform(paramValue)\n    }\n    \n    return paramValue as unknown as T\n  } catch (error) {\n    log.warn(`Failed to get URL parameter ${paramName}:`, error)\n    return defaultValue\n  }\n}\n\n\n  /**\n   * Convert backend type to frontend type\n   * @param backendType Backend type name\n   * @returns Corresponding frontend type\n   */\n  export const convertParamType = (backendType: string): 'string' | 'number' | 'boolean' | 'array' | 'object' | 'Optional' => {\n    switch (backendType) {\n      case 'string':\n        return 'string';\n      case 'integer':\n      case 'float':\n        return 'number';\n      case 'boolean':\n        return 'boolean';\n      case 'array':\n        return 'array';\n      case 'object':\n        return 'object';\n      case 'Optional':\n        return 'string'; \n      default:\n        log.warn(`Unknown type: ${backendType}, using string as default type`);\n        return 'string';\n    }\n  };\n\n// Connectivity status utilities\nexport type ConnectivityStatusType = \"checking\" | \"available\" | \"unavailable\" | null;\n\n// Get the connectivity status icon\nexport const getConnectivityIcon = (status: ConnectivityStatusType): React.ReactNode => {\n  switch (status) {\n    case \"checking\":\n      return React.createElement(LoaderCircle, { className: 'animate-spin', color: '#1890ff', size: 16 })\n    case \"available\":\n      return React.createElement(CircleCheck, { color: '#52c41a', size: 16 })\n    case \"unavailable\":\n      return React.createElement(XCircle, { color: '#ff4d4f', size: 16 })\n    default:\n      return null\n  }\n}\n\n// Get the connectivity status color\nexport const getConnectivityColor = (status: ConnectivityStatusType): string => {\n  switch (status) {\n    case \"checking\":\n      return '#1890ff'\n    case \"available\":\n      return '#52c41a'\n    case \"unavailable\":\n      return '#ff4d4f'\n    default:\n      return '#d9d9d9'\n  }\n}\n\nexport type ConnectivityMeta = {\n  icon: React.ReactNode\n  color: string\n}\n\nexport const getConnectivityMeta = (status: ConnectivityStatusType): ConnectivityMeta => {\n  switch (status) {\n    case \"checking\":\n      return {\n        icon: React.createElement(LoaderCircle, { className: 'animate-spin', color: '#1890ff', size: 16 }),\n        color: '#1890ff'\n      }\n    case \"available\":\n      return {\n        icon: React.createElement(CircleCheck, { color: '#52c41a', size: 16 }),\n        color: '#52c41a'\n      }\n    case \"unavailable\":\n      return {\n        icon: React.createElement(XCircle, { color: '#ff4d4f', size: 16 }),\n        color: '#ff4d4f'\n      }\n    default:\n      return {\n        icon: null,\n        color: '#d9d9d9'\n      }\n  }\n}\n\n/**\n * Format search score as percentage string\n * @param score Search score (0-1 range)\n * @returns Formatted percentage string with one decimal place (e.g., \"95.5%\")\n */\nexport function formatScoreAsPercentage(score: number): string {\n  if (typeof score !== 'number' || isNaN(score)) {\n    return '0.0%';\n  }\n  const percentage = score * 100;\n  return `${percentage.toFixed(1)}%`;\n}\n\n/**\n * Get color for search score tag\n * @param score Search score (0-1 range)\n * @returns Color hex string - default gray for scores < 90%, green gradient for scores >= 90%\n */\nexport function getScoreColor(score: number): string {\n  if (typeof score !== 'number' || isNaN(score)) {\n    return '#d9d9d9'; // Default gray\n  }\n  \n  const percentage = score * 100;\n  \n  // Scores below 90% use default gray\n  if (percentage < 90) {\n    return '#d9d9d9';\n  }\n  \n  // Scores 90% and above: gradient from light green to dark green\n  // Map 90-100% to color range: #A8E6B2 (light green) to #39C651 (dark green)\n  const normalized = (percentage - 90) / 10; // 0 to 1 for 90-100%\n  \n  // Interpolate between light green (#95de64) and dark green (#52c41a)\n  const r1 = 0xa8, g1 = 0xe6, b1 = 0xb2; // Light green\n  const r2 = 0x39, g2 = 0xc6, b2 = 0x51; // Dark green\n  \n  const r = Math.round(r1 + (r2 - r1) * normalized);\n  const g = Math.round(g1 + (g2 - g1) * normalized);\n  const b = Math.round(b1 + (b2 - b1) * normalized);\n  \n  return `#${r.toString(16).padStart(2, '0')}${g.toString(16).padStart(2, '0')}${b.toString(16).padStart(2, '0')}`;\n}"
  },
  {
    "path": "frontend/lib/viewPersistence.ts",
    "content": "/**\n * View persistence utilities for managing current view state across page refreshes\n * Uses localStorage to persist the current view selection\n */\n\nconst VIEW_STORAGE_KEY = 'nexent_current_view';\n\ntype ViewType =\n  | \"home\"\n  | \"memory\"\n  | \"models\"\n  | \"agents\"\n  | \"knowledges\"\n  | \"space\"\n  | \"setup\"\n  | \"chat\"\n  | \"market\"\n  | \"users\"\n  | \"mcpTools\"\n  | \"monitoring\";\n\nconst VALID_VIEWS: ViewType[] = [\n  \"home\",\n  \"memory\",\n  \"models\",\n  \"agents\",\n  \"knowledges\",\n  \"space\",\n  \"setup\",\n  \"chat\",\n  \"market\",\n  \"users\",\n  \"mcpTools\",\n  \"monitoring\",\n];\n\n/**\n * Get the saved view from localStorage\n * @returns The saved view or \"home\" as default\n */\nexport function getSavedView(): ViewType {\n  if (typeof window === 'undefined') {\n    return \"home\";\n  }\n\n  try {\n    const savedView = localStorage.getItem(VIEW_STORAGE_KEY);\n    if (savedView && VALID_VIEWS.includes(savedView as ViewType)) {\n      return savedView as ViewType;\n    }\n  } catch (error) {\n    // localStorage might be disabled or throw errors\n    console.warn('Failed to read saved view from localStorage:', error);\n  }\n\n  return \"home\";\n}\n\n/**\n * Save the current view to localStorage\n * @param view The view to save\n */\nexport function saveView(view: ViewType): void {\n  if (typeof window === 'undefined') {\n    return;\n  }\n\n  try {\n    localStorage.setItem(VIEW_STORAGE_KEY, view);\n  } catch (error) {\n    // localStorage might be disabled or throw errors\n    console.warn('Failed to save view to localStorage:', error);\n  }\n}\n\n/**\n * Clear the saved view from localStorage\n */\nexport function clearSavedView(): void {\n  if (typeof window === 'undefined') {\n    return;\n  }\n\n  try {\n    localStorage.removeItem(VIEW_STORAGE_KEY);\n  } catch (error) {\n    console.warn('Failed to clear saved view from localStorage:', error);\n  }\n}\n\n"
  },
  {
    "path": "frontend/middleware.ts",
    "content": "import { NextRequest, NextResponse } from 'next/server';\n\nconst PUBLIC_FILE = /\\.(.*)$/;\nconst locales = ['zh', 'en'];\nconst defaultLocale = 'zh';\n\nexport function middleware(req: NextRequest) {\n  const { pathname } = req.nextUrl;\n\n  // Ignore static resources and API routes\n  if (\n    pathname.startsWith('/_next') ||\n    pathname.startsWith('/api') ||\n    PUBLIC_FILE.test(pathname)\n  ) {\n    return;\n  }\n\n  // Check if the path already has a locale prefix\n  const hasLocale = locales.some(\n    (locale) => pathname === `/${locale}` || pathname.startsWith(`/${locale}/`)\n  );\n\n  if (!hasLocale) {\n    // 1. Prefer reading language from cookie\n    let detectedLocale = defaultLocale;\n    const cookieLocale = req.cookies.get('NEXT_LOCALE')?.value;\n\n    if (cookieLocale && locales.includes(cookieLocale)) {\n      detectedLocale = cookieLocale;\n    } else {\n      // 2. Read language from Accept-Language request header\n      const acceptLang = req.headers.get('accept-language');\n      if (acceptLang) {\n        const preferred = acceptLang.split(',')[0].toLowerCase();\n        if (preferred.startsWith('en')) detectedLocale = 'en';\n        else if (preferred.startsWith('zh')) detectedLocale = 'zh';\n      }\n    }\n\n    const url = req.nextUrl.clone();\n    url.pathname = `/${detectedLocale}${pathname}`;\n    return NextResponse.redirect(url);\n  }\n}"
  },
  {
    "path": "frontend/next.config.mjs",
    "content": "let userConfig = undefined\ntry {\n  userConfig = await import('./v0-user-next.config')\n} catch (e) {\n  // ignore error\n}\n\n/** @type {import('next').NextConfig} */\nconst nextConfig = {\n  eslint: {\n    ignoreDuringBuilds: true,\n  },\n  typescript: {\n    ignoreBuildErrors: true,\n  },\n  images: {\n    unoptimized: true,\n  },\n  experimental: {\n    webpackBuildWorker: true,\n    parallelServerBuildTraces: true,\n    parallelServerCompiles: true,\n  },\n  compress: true,\n  // Fix workspace root detection for multiple lockfiles\n  outputFileTracingRoot: process.cwd(),\n}\n\nmergeConfig(nextConfig, userConfig)\n\nfunction mergeConfig(nextConfig, userConfig) {\n  if (!userConfig) {\n    return\n  }\n\n  for (const key in userConfig) {\n    if (\n      typeof nextConfig[key] === 'object' &&\n      !Array.isArray(nextConfig[key])\n    ) {\n      nextConfig[key] = {\n        ...nextConfig[key],\n        ...userConfig[key],\n      }\n    } else {\n      nextConfig[key] = userConfig[key]\n    }\n  }\n}\n\nexport default nextConfig\n"
  },
  {
    "path": "frontend/package.json",
    "content": "{\n  \"name\": \"nexent\",\n  \"version\": \"0.1.0\",\n  \"private\": true,\n  \"scripts\": {\n    \"dev\": \"node server.js\",\n    \"build\": \"next build\",\n    \"start\": \"NODE_ENV=production node server.js\",\n    \"lint\": \"next lint\",\n    \"lint:fix\": \"next lint --fix\",\n    \"format\": \"prettier --write .\",\n    \"format:check\": \"prettier --check .\",\n    \"type-check\": \"tsc --noEmit\",\n    \"check-all\": \"npm run type-check && npm run lint && npm run format:check && npm run build\"\n  },\n  \"dependencies\": {\n    \"@ant-design/icons\": \"^6.0.0\",\n    \"@dicebear/core\": \"^9.2.2\",\n    \"@dicebear/icons\": \"^9.2.2\",\n    \"@radix-ui/react-scroll-area\": \"^1.2.2\",\n    \"@tanstack/react-query\": \"^5.90.12\",\n    \"antd\": \"^6.1.3\",\n    \"antd-style\": \"^4.1.0\",\n    \"autoprefixer\": \"^10.4.20\",\n    \"bootstrap-icons\": \"^1.11.3\",\n    \"class-variance-authority\": \"^0.7.1\",\n    \"clsx\": \"^2.1.1\",\n    \"cross-env\": \"^10.1.0\",\n    \"cookie\": \"^1.1.1\",\n    \"dayjs\": \"^1.11.19\",\n    \"dicebear\": \"^9.2.2\",\n    \"dotenv\": \"^16.4.7\",\n    \"framer-motion\": \"^12.23.6\",\n    \"github-markdown-css\": \"^5.8.1\",\n    \"http-proxy\": \"^1.18.1\",\n    \"i18next\": \"^25.2.1\",\n    \"katex\": \"^0.16.11\",\n    \"lucide-react\": \"^0.454.0\",\n    \"mermaid\": \"^11.12.0\",\n    \"next\": \"^15.5.9\",\n    \"next-i18next\": \"^15.4.2\",\n    \"next-themes\": \"^0.4.4\",\n    \"react\": \"18.2.0\",\n    \"react-d3-tree\": \"^3.6.6\",\n    \"react-dom\": \"18.2.0\",\n    \"react-hook-form\": \"^7.54.1\",\n    \"react-i18next\": \"^15.5.3\",\n    \"react-markdown\": \"^8.0.7\",\n    \"react-syntax-highlighter\": \"^16.1.0\",\n    \"rehype-katex\": \"^6.0.3\",\n    \"rehype-raw\": \"^7.0.0\",\n    \"remark-gfm\": \"^3.0.1\",\n    \"remark-math\": \"^5.1.1\",\n    \"remark-rehype\": \"^11.1.0\",\n    \"tailwind-merge\": \"^2.5.5\",\n    \"tailwindcss-animate\": \"^1.0.7\",\n    \"unified\": \"^11.0.0\",\n    \"unist-util-visit\": \"^5.0.0\",\n    \"uuid\": \"^11.1.0\",\n    \"zustand\": \"^5.0.9\"\n  },\n  \"devDependencies\": {\n    \"@types/node\": \"22.15.16\",\n    \"@types/react\": \"18.3.20\",\n    \"@types/react-dom\": \"18.3.6\",\n    \"eslint\": \"^9.34.0\",\n    \"eslint-config-next\": \"15.5.7\",\n    \"eslint-config-prettier\": \"^9.1.0\",\n    \"eslint-plugin-prettier\": \"^5.1.3\",\n    \"postcss\": \"^8\",\n    \"prettier\": \"^3.2.5\",\n    \"tailwindcss\": \"^3.4.17\",\n    \"typescript\": \"5.8.3\"\n  }\n}\n"
  },
  {
    "path": "frontend/pnpm-workspace.yaml",
    "content": "ignoredBuiltDependencies:\n  - unrs-resolver\n"
  },
  {
    "path": "frontend/postcss.config.mjs",
    "content": "/** @type {import('postcss-load-config').Config} */\nconst config = {\n  plugins: {\n    tailwindcss: {},\n    autoprefixer: {},\n  },\n};\n\nexport default config;\n"
  },
  {
    "path": "frontend/public/locales/en/common.json",
    "content": "{\n  \"assistant.name\": \"Nexent\",\n\n  \"mainPage.layout.title\": \"Nexent | AI Agents\",\n  \"mainPage.layout.titleTemplate\": \"%s | Nexent AI Agents\",\n  \"mainPage.layout.description\": \"Create and configure your own AI Agents\",\n\n  \"chatAttachment.imagePreview\": \"Image Preview\",\n  \"chatAttachment.previewNotSupported\": \"Preview not supported for this file type\",\n  \"chatAttachment.downloadToView\": \"Please download the file to view\",\n  \"chatAttachment.downloading\": \"Downloading...\",\n  \"chatAttachment.downloadSuccess\": \"File downloaded successfully\",\n  \"chatAttachment.downloadError\": \"Failed to download file. Please try again.\",\n  \"chatAttachment.image\": \"Image\",\n\n  \"chatInterface.newConversation\": \"New Conversation\",\n  \"chatInterface.componentUnmount\": \"Component Unmounted\",\n  \"chatInterface.errorCancelingRequest\": \"Error canceling request\",\n  \"chatInterface.requestTimeout\": \"Request Timeout\",\n  \"chatInterface.requestTimeoutRetry\": \"Request timed out, please try again\",\n  \"chatInterface.stopTimeoutRequestFailed\": \"Failed to stop timed-out request:\",\n  \"chatInterface.refreshDialogListFailedButContinue\": \"Failed to refresh conversation list, but continuing to send message:\",\n  \"chatInterface.createDialogFailedButContinue\": \"Failed to create new conversation, but will still attempt to send message:\",\n  \"chatInterface.filePreprocessing\": \"File Preprocessing\",\n  \"chatInterface.parsingFile\": \"Parsing file...\",\n  \"chatInterface.parsingFileWithProgress\": \"Parsing file {{index}}/{{total}}: {{filename}}\",\n  \"chatInterface.fileTruncated\": \"{{filename}} exceeds word limit, only read the first {{percentage}}%\",\n  \"chatInterface.parseFileFailed\": \"Failed to parse file {{filename}}: {{message}}\",\n  \"chatInterface.fileParsed\": \"File {{filename}} has been parsed successfully\",\n  \"chatInterface.fileParsingComplete\": \"File parsing complete\",\n  \"chatInterface.fileParsingCompleteWithTruncation\": \"File parsing complete: {{truncationInfo}}\",\n  \"chatInterface.truncationSeparator\": \"; \",\n  \"chatInterface.fileParsingFailed\": \"File parsing failed\",\n  \"chatInterface.fileSizeExceeded\": \"File size exceeds the limit, please upload smaller files\",\n  \"chatInterface.fileProcessingStopped\": \"File parsing stopped\",\n  \"chatInterface.conversationStopped\": \"Conversation stopped\",\n  \"chatInterface.errorProcessingRequest\": \"An error occurred while processing the request\",\n  \"chatInterface.errorFetchingConversationList\": \"Failed to fetch conversation list during initialization:\",\n  \"chatInterface.errorFetchingConversationDetailsError\": \"Error fetching conversation details:\",\n  \"chatInterface.errorFetchingAttachmentUrl\": \"Failed to fetch attachment URL: {{object_name}}\",\n  \"chatInterface.renameFailed\": \"Rename failed:\",\n  \"chatInterface.deleteConversation\": \"Delete Conversation\",\n  \"chatInterface.stopConversationToDeleteFailed\": \"Failed to stop conversation for deletion:\",\n  \"chatInterface.deleteFailed\": \"Delete failed:\",\n  \"chatInterface.imageLoadFailed\": \"Image failed to load:\",\n  \"chatInterface.userManuallyStopped\": \"User manually stopped\",\n  \"chatInterface.stopConversationFailed\": \"Failed to stop conversation:\",\n  \"chatInterface.stopConversationFailedButFrontendStopped\": \"Failed to stop conversation, but frontend has stopped displaying\",\n  \"chatInterface.updateOpinionFailed\": \"Failed to update like/dislike:\",\n  \"chatInterface.aiGeneratedContentWarning\": \"Content generated by AI, please verify carefully\",\n  \"chatInterface.stopGenerating\": \"Stop Generating\",\n  \"chatInterface.imagePreview\": \"Image Preview\",\n  \"chatInterface.close\": \"Close\",\n  \"chatInterface.errorLabel\": \"Error:\",\n  \"chatInterface.failedToUpdateConversationList\": \"Failed to update conversation list:\",\n\n  \"chatPreprocess.step\": \"Step\",\n  \"chatPreprocess.thinking\": \"Thinking\",\n  \"chatPreprocess.preprocessResponseEmpty\": \"Preprocessing response is empty\",\n  \"chatPreprocess.parsingPreprocessDataFailed\": \"Failed to parse preprocessing data:\",\n  \"chatPreprocess.filePreprocessingFailed\": \"File preprocessing failed:\",\n  \"chatPreprocess.fileUploadFailed\": \"File upload failed:\",\n  \"chatPreprocess.parsingFile\": \"Parsing file...\",\n\n  \"extractMsg.unknownTitle\": \"Unknown Title\",\n  \"extractMsg.noContentDescription\": \"No content description\",\n  \"extractMsg.cannotParseSearchPlaceholder\": \"Cannot parse search placeholder content:\",\n\n  \"chatHeader.doubleClickToEdit\": \"Double-click to edit title\",\n\n  \"chatInput.image\": \"Image\",\n  \"chatInput.cannotReadFileContent\": \"Cannot read file content\",\n  \"chatInput.loadingFileContent\": \"Loading file content...\",\n  \"chatInput.cannotPreviewFileType\": \"Cannot preview this file type\",\n  \"chatInput.thisFileTypeCannotBePreviewed\": \"This file type cannot be previewed\",\n  \"chatInput.fileCountExceedsLimit\": \"File count exceeds limit. Maximum {{count}} files allowed\",\n  \"chatInput.fileSizeExceedsLimit\": \"File \\\"{{name}}\\\" exceeds size limit. Maximum 10MB per file\",\n  \"chatInput.unsupportedFileType\": \"File \\\"{{name}}\\\" is not a supported file type. Supported formats: images, documents (PDF, Word, Excel, PPT), text files, CSV/TSV, Markdown\",\n  \"chatInput.unsupportedFileTypeSimple\": \"Unsupported file type\",\n  \"chatInput.dragAndDropFilesHere\": \"Drag and drop files here to upload\",\n  \"chatInput.supportedFileFormats\": \"Supported formats: images, documents (PDF, Word, Excel, PPT), text files, CSV/TSV, Markdown\",\n  \"chatInput.sendMessageTo\": \"Send message to {{appName}}\",\n  \"chatInput.stopRecording\": \"Stop Recording\",\n  \"chatInput.startRecording\": \"Start Recording\",\n  \"chatInput.uploadFiles\": \"Upload Files\",\n  \"chatInput.stopGenerating\": \"Stop Generating\",\n  \"chatInput.recording\": \"Recording...\",\n  \"chatInput.recordingError\": \"Recording error, please try again\",\n  \"chatInput.helloIm\": \"Hello, I'm {{appName}}\",\n  \"chatInput.introMessage\": \"I can help you with coding, reading, searching, and comprehensive tasks. Feel free to ask!\",\n  \"chatInput.close\": \"Close\",\n  \"chatInput.send\": \"Send\",\n  \"chatInput.remove\": \"Remove\",\n  \"chatInput.wsConnectionEstablished\": \"WebSocket connection established\",\n\n  \"chatLeftSidebar.rename\": \"Rename\",\n  \"chatLeftSidebar.delete\": \"Delete\",\n  \"chatLeftSidebar.newConversation\": \"New Conversation\",\n  \"chatLeftSidebar.today\": \"Today\",\n  \"chatLeftSidebar.last7Days\": \"Last 7 Days\",\n  \"chatLeftSidebar.older\": \"Older\",\n  \"chatLeftSidebar.recentConversations\": \"Recent Conversations\",\n  \"chatLeftSidebar.noHistory\": \"No conversation history\",\n  \"chatLeftSidebar.expandSidebar\": \"Expand Sidebar\",\n  \"chatLeftSidebar.settings\": \"Settings\",\n  \"chatLeftSidebar.settingsMenu.modelConfig\": \"Application & Model Configuration\",\n  \"chatLeftSidebar.settingsMenu.knowledgeConfig\": \"Knowledge Base Configuration\",\n  \"chatLeftSidebar.settingsMenu.agentConfig\": \"Agent Configuration\",\n  \"chatLeftSidebar.confirmDeletionTitle\": \"Delete Conversation\",\n  \"chatLeftSidebar.confirmDeletionDescription\": \"Are you sure you want to delete this conversation? This action cannot be undone.\",\n  \"chatLeftSidebar.renameErrorEmpty\": \"Title cannot be empty\",\n  \"chatLeftSidebar.renameErrorTooLong\": \"Title cannot exceed {{max}} characters\",\n  \"chatLeftSidebar.renameErrorSubmitFailed\": \"Rename failed. Please try again later\",\n  \"chatLeftSidebar.cancel\": \"Cancel\",\n  \"chatLeftSidebar.collapseSidebar\": \"Collapse Sidebar\",\n  \"chatLeftSidebar.running\": \"Running\",\n  \"chatLeftSidebar.completed\": \"Completed\",\n  \"chatLeftSidebar.user\": \"User\",\n\n  \"page.contactUs\": \"Contact Us\",\n  \"page.aboutUs\": \"About Us\",\n  \"page.title\": \"Nexent\",\n  \"page.subtitle\": \"One prompt, infinite possibilities\",\n  \"page.description\": \"No orchestration, no complex drag-and-drop required. Integrate data, models, and tools into one intelligent hub.\",\n  \"page.startChat\": \"Start Chatting\",\n  \"page.quickConfig\": \"Quick Setup\",\n  \"page.agentSpace\": \"Agent Space\",\n  \"page.dataProtection\": \"Free trial environment does not retain data. Data may be lost during updates - please take note.\",\n  \"page.coreFeatures\": \"Core Features\",\n  \"page.features\": [\n    {\n      \"title\": \"Multi-Agent Self-Decision\",\n      \"description\": \"Leveraging the ReAct framework to enable autonomous thinking, task planning, decision-making, and execution among multiple agents, automating model, data, and toolset integration within the MCP ecosystem.\"\n    },\n    {\n      \"title\": \"Agent Auto-Generation\",\n      \"description\": \"Intelligently generate core agent prompts based on natural language, achieving >70% accuracy within 4-5 tools, with additional optimization capabilities.\"\n    },\n    {\n      \"title\": \"Scalable Data Preparation\",\n      \"description\": \"Enterprise-grade scalable processing, slicing, and vectorization data framework that supports building high-quality multimodal knowledge bases from different file formats and data sources.\"\n    },\n    {\n      \"title\": \"Intelligent Source Integration\",\n      \"description\": \"MCP-powered tools connecting multiple knowledge bases, web sources, and data streams with business-driven data acquisition strategies, featuring end-to-end multimodal knowledge traceability and explainability.\"\n    },\n    {\n      \"title\": \"Native MCP Orchestration\",\n      \"description\": \"Supports seamless MCP tool onboarding and invocation, enabling sophisticated business logic implementation and workflow automation.\"\n    },\n    {\n      \"title\": \"Multi-Modal Communication\",\n      \"description\": \"Built on multimodal knowledge bases and advanced data processing capabilities, delivering next-gen AI agent services with native support for text, image, audio, and beyond.\"\n    }\n  ],\n  \"page.copyright\": \"Nexent © {{year}}\",\n  \"page.termsOfUse\": \"Terms of Use\",\n  \"page.loginPrompt.title\": \"Login\",\n  \"page.loginPrompt.register\": \"Register\",\n  \"page.loginPrompt.login\": \"Login Now\",\n  \"page.loginPrompt.header\": \"🚀 Ready to Go!\",\n  \"page.loginPrompt.intro\": \"Log in to your account and start your intelligent Q&A journey~\",\n  \"page.loginPrompt.benefitsTitle\": \"✨ After logging in, you will get:\",\n  \"page.loginPrompt.benefits\": [\n    \"Exclusive conversation history\",\n    \"Personalized smart recommendations\",\n    \"Full access to enterprise knowledge base\",\n    \"More accurate Q&A experience\"\n  ],\n  \"page.loginPrompt.githubSupport\": \"Support us on GitHub\",\n  \"page.loginPrompt.noAccount\": \"Don't have an account yet? Click the \\\"Register\\\" button to create your exclusive account~\",\n  \"page.adminPrompt.close\": \"OK\",\n  \"page.adminPrompt.unlockHeader\": \"🌟 Become an administrator and unlock more capabilities!\",\n  \"page.adminPrompt.unlockIntro\": \"After becoming an administrator, you can:\",\n  \"page.adminPrompt.permissionsTitle\": \"✨ Administrator exclusive permissions:\",\n  \"page.adminPrompt.permissions\": [\n    \"Configure and manage your own models\",\n    \"Create and publish exclusive smart Agents\",\n    \"Integrate and configure your own tools\"\n  ],\n  \"page.adminPrompt.becomeAdmin\": \"💡 Want to become an administrator? Please visit the <1>official contact page</1> to apply for an administrator account.\",\n\n  \"chatStreamMessage.appIconAlt\": \"App Icon\",\n  \"chatStreamMessage.finalAnswer\": \"Final Answer\",\n  \"chatStreamMessage.sources\": \"{{count}} sources\",\n  \"chatStreamMessage.images\": \"{{count}} images\",\n  \"chatStreamMessage.copied\": \"Copied\",\n  \"chatStreamMessage.copyContent\": \"Copy\",\n  \"chatStreamMessage.cancelLike\": \"Cancel like\",\n  \"chatStreamMessage.like\": \"Like\",\n  \"chatStreamMessage.cancelDislike\": \"Cancel dislike\",\n  \"chatStreamMessage.dislike\": \"Dislike\",\n  \"chatStreamMessage.tts\": \"Text-to-Speech\",\n  \"chatStreamMessage.imageTextFallbackTitle\": \"Media (text view)\",\n  \"chatStreamMessage.videoNotSupported\": \"Sorry, your browser does not support embedded videos.\",\n  \"chatStreamMessage.imageLinkUnavailable\": \"This image link is unavailable\",\n  \"chatStreamMessage.videoLinkUnavailable\": \"This video link is unavailable\",\n  \"chatStreamMessage.imageLoadFailed\": \"Image failed to load\",\n  \"chatStreamMessage.videoLoadFailed\": \"Video failed to load\",\n\n  \"chatRightPanel.imageLoadFailed\": \"Failed to load image\",\n  \"chatRightPanel.imageProxyError\": \"Failed to request image proxy service:\",\n  \"chatRightPanel.unknownTitle\": \"Unknown Title\",\n  \"chatRightPanel.noContentDescription\": \"No content description\",\n  \"chatRightPanel.processSearchResultsError\": \"Error processing search results:\",\n  \"chatRightPanel.parallelLoadImagesError\": \"Error loading images in parallel:\",\n  \"chatRightPanel.collapse\": \"Collapse\",\n  \"chatRightPanel.expand\": \"Expand\",\n  \"chatRightPanel.imageAlt\": \"Image {{index}}\",\n  \"chatRightPanel.viewLargerImageAlt\": \"View larger image\",\n  \"chatRightPanel.searchTitle\": \"Web · Knowledge Base Search\",\n  \"chatRightPanel.closeSidebarTitle\": \"Close Sidebar\",\n  \"chatRightPanel.noSearchResults\": \"No search results\",\n  \"chatRightPanel.collapseImages\": \"Collapse Images\",\n  \"chatRightPanel.expandImages\": \"View all {{count}} images\",\n  \"chatRightPanel.noImages\": \"No images\",\n  \"chatRightPanel.noAssociatedImages\": \"This message has no associated images\",\n  \"chatRightPanel.sources\": \"Sources\",\n  \"chatRightPanel.images\": \"Images\",\n  \"chatRightPanel.downloading\": \"Downloading...\",\n  \"chatRightPanel.fileDownloadSuccess\": \"File download started\",\n  \"chatRightPanel.fileDownloadError\": \"Failed to download file. Please try again.\",\n  \"chatRightPanel.source.datamate\": \"Source: Datamate\",\n  \"chatRightPanel.source.nexent\": \"Source: Nexent\",\n\n  \"chatStreamFinalMessage.copyFailed\": \"Copy failed:\",\n  \"chatStreamFinalMessage.getMessageIdFailed\": \"Failed to get message ID:\",\n  \"chatStreamFinalMessage.generatingAudio\": \"Generating audio...\",\n  \"chatStreamFinalMessage.stopPlaying\": \"Stop Playing\",\n  \"chatStreamFinalMessage.audioGenerationFailed\": \"Audio generation failed\",\n\n  \"chatStreamHandler.codePrefix\": \"Code: \",\n  \"chatStreamHandler.callingTool\": \"Calling tool...\",\n  \"chatStreamHandler.parseSearchContentFailed\": \"Failed to parse search content:\",\n  \"chatStreamHandler.processImageDataFailed\": \"Failed to process image data:\",\n  \"chatStreamHandler.processRemainingDataFailed\": \"Failed to process remaining data:\",\n  \"chatStreamHandler.thinking\": \"Thinking...\",\n  \"chatStreamHandler.connectingMcpServer\": \"Connecting to MCP server...\",\n  \"chatStreamHandler.memoryRetrieving\": \"Retrieving memories...\",\n  \"chatStreamHandler.memoryRetrieved\": \"Memories retrieved\",\n  \"chatStreamHandler.memoryFailed\": \"Memory retrieval failed. Continuing...\",\n  \"chatStreamHandler.generateTitleFailed\": \"Failed to generate title:\",\n  \"chatStreamHandler.streamResponseError\": \"Error processing streaming response:\",\n  \"chatStreamHandler.userInterrupted\": \"Chat ended by user.\",\n\n  \"taskWindow.unknownSource\": \"Unknown Source\",\n  \"taskWindow.knowledgeFile\": \"Knowledge Base File\",\n  \"taskWindow.urlParseError\": \"URL parsing error:\",\n  \"taskWindow.visit\": \"Visit {{domain}}\",\n  \"taskWindow.readingSearchResults\": \"Reading search results\",\n  \"taskWindow.downloadFile\": \"Download {{name}}\",\n  \"taskWindow.downloadSuccess\": \"File download started\",\n  \"taskWindow.downloadError\": \"Failed to download file. Please try again.\",\n  \"taskWindow.parseCardError\": \"Failed to parse card content:\",\n  \"taskWindow.cannotParseCard\": \"Cannot parse card content\",\n  \"taskWindow.parseSearchError\": \"Failed to parse search results:\",\n  \"taskWindow.cannotParseSearch\": \"Cannot parse search result: {{message}}\",\n  \"taskWindow.noSearchResults\": \"No search results found\",\n  \"taskWindow.unknownMessageType\": \"Unknown message type: {{type}}\",\n  \"taskWindow.noTaskMessages\": \"No task messages yet\",\n  \"taskWindow.taskDetails\": \"Task Details\",\n\n  \"setup.header.button.back\": \"Back to Home\",\n  \"setup.header.title\": \"Quick Setup\",\n  \"setup.header.description\": \"Smartly build any assistant, accurately solve every challenge\",\n  \"setup.model.description\": \"Model Configuration\",\n  \"setup.knowledge.description\": \"Knowledge Base Configuration\",\n  \"setup.agent.description\": \"Agent Configuration\",\n  \"setup.navigation.button.previous\": \"Previous\",\n  \"setup.navigation.button.next\": \"Next\",\n  \"setup.navigation.button.complete\": \"Complete Setup\",\n  \"setup.config.appSettings\": \"Application Settings\",\n  \"setup.config.modelSettings\": \"Model Settings\",\n  \"setup.page.error.checkConnection\": \"Failed to check connection status:\",\n  \"setup.page.error.saveConfig\": \"Failed to save configuration, please try again\",\n  \"setup.page.error.missingModelConfig\": \"Model configuration not found, please contact the administrator\",\n  \"setup.page.error.systemError\": \"System error, please try again later\",\n  \"setup.page.error.selectMainModel\": \"Please select model\",\n  \"setup.page.error.highlightField.llmMain\": \"llm.main\",\n  \"setup.page.error.adminOnly\": \"Only administrators can access the model configuration page\",\n\n  \"agent.contextMenu.export\": \"Export\",\n  \"agent.contextMenu.delete\": \"Delete\",\n  \"agent.contextMenu.copy\": \"Copy\",\n  \"agent.copySuffix\": \"Copy\",\n  \"agent.info.title\": \"Agent Information\",\n  \"agent.info.name.error.empty\": \"Name cannot be empty\",\n  \"agent.info.name.error.format\": \"Name can only contain letters, numbers and underscores, and must start with a letter or underscore\",\n  \"agent.info.name.error.length\": \"Name length cannot exceed 50 characters\",\n  \"agent.name\": \"Agent Variable Name\",\n  \"agent.namePlaceholder\": \"Please enter agent variable name\",\n  \"agent.displayName\": \"Agent Name\",\n  \"agent.displayNamePlaceholder\": \"Please enter agent name\",\n  \"agent.author\": \"Author\",\n  \"agent.authorPlaceholder\": \"Please enter author name\",\n  \"agent.author.hint\": \"Default: {{email}}\",\n  \"agent.description\": \"Agent Description\",\n  \"agent.descriptionPlaceholder\": \"Please enter agent description\",\n  \"agent.userGroup\": \"User Group\",\n  \"agent.userGroup.empty\": \"No user group\",\n  \"agent.llmModel\": \"LLM Model\",\n  \"agent.version\": \"Version\",\n  \"agent.version.current\": \"Current Version\",\n  \"agent.version.select\": \"Select Version\",\n  \"agent.version.noPublished\": \"No Published Versions\",\n  \"agent.status.unpublished\": \"Unpublished\",\n  \"agent.unavailableReasons.duplicate_name\": \"Duplicate Agent Variable Name\",\n  \"agent.unavailableReasons.duplicate_display_name\": \"Duplicate Agent Name\",\n  \"agent.unavailableReasons.tool_unavailable\": \"Tool Unavailable\",\n  \"agent.unavailableReasons.model_unavailable\": \"Model Unavailable\",\n  \"agent.detailContent.title\": \"Agent Detail Content\",\n  \"agent.generating.title\": \"Generating Agent\",\n  \"agent.generating.subtitle\": \"Please wait, the system is generating intelligent agent for you...\",\n  \"agent.error.loadTools\": \"Failed to load tool list:\",\n  \"agent.error.loadToolsRetry\": \"Failed to get tool list, please refresh the page and try again\",\n  \"agent.error.fetchAgentList\": \"Failed to get agent list\",\n  \"agent.error.fetchAgentListRetry\": \"Failed to get agent list, please try again later\",\n  \"agent.debug.title\": \"Agent Debug\",\n  \"agent.noEditPermission\": \"No permission to edit this agent\",\n  \"mcpConfig.permission.noEdit\": \"No permission to edit MCP\",\n  \"agent.action.create\": \"Create Agent\",\n  \"agent.action.modify\": \"Edit Agent Information\",\n  \"agent.action.view\": \"View Agent Information\",\n  \"agent.action.viewCallRelationship\": \"View Call Relationship\",\n  \"agent.error.nameExists\": \"Agent var name {{name}} already exists, please modify\",\n  \"agent.error.displayNameExists\": \"Agent name {{displayName}} already exists, please modify\",\n  \"agent.error.modelUnavailable\": \"LLM {{modelName}} is unavailable, please modify\",\n  \"agent.debug.placeholder\": \"Enter test question...\",\n  \"agent.debug.stop\": \"Stop\",\n  \"agent.debug.clear\": \"Clear\",\n  \"agent.debug.send\": \"Send\",\n  \"agent.debug.userStop\": \"User manually stopped debugging\",\n  \"agent.debug.cancelError\": \"Error while canceling request\",\n  \"agent.debug.stopError\": \"Failed to stop debug mode Agent run, but frontend has stopped:\",\n  \"agent.debug.stopped\": \"Debugging stopped\",\n  \"agent.debug.nullResponse\": \"Response body is null\",\n  \"agent.debug.streamError\": \"Error processing stream response:\",\n  \"agent.debug.processError\": \"Error occurred while processing request\",\n\n  \"guide.steps.describeBusinessLogic.title\": \"Describe Business Logic\",\n\n  \"systemPrompt.button.save\": \"Save\",\n  \"systemPrompt.button.debug\": \"Debug\",\n  \"systemPrompt.button.expand\": \"Expand View\",\n  \"systemPrompt.message.save.success\": \"Prompt saved successfully\",\n  \"systemPrompt.message.save.error\": \"Failed to save prompt, please try again\",\n  \"systemPrompt.card.duty.title\": \"Agent Role\",\n  \"systemPrompt.card.constraint.title\": \"Usage Requirements\",\n  \"systemPrompt.card.fewShots.title\": \"Few Shots\",\n  \"systemPrompt.expandEdit.backgroundInfo\": \"Background Info\",\n  \"systemPrompt.expandEdit.close\": \"Save & Close\",\n  \"systemPrompt.nonEditing.title\": \"Please Select an Agent First\",\n  \"systemPrompt.nonEditing.subtitle\": \"Please select an Agent from the left panel to edit, or create a new Agent\",\n\n  \"collaborativeAgent.title\": \"Select Collaborative Agent\",\n  \"collaborativeAgent.button.add\": \"Add Collaborative Agent\",\n  \"collaborativeAgent.select.noOptions\": \"No available Agents to select\",\n  \"collaborativeAgent.message.selectAgentFirst\": \"Please select an Agent first\",\n  \"collaborativeAgent.message.addSuccess\": \"Collaborative Agent added successfully\",\n  \"collaborativeAgent.message.addFailed\": \"Failed to add collaborative Agent\",\n  \"collaborativeAgent.message.removeSuccess\": \"Collaborative Agent removed successfully\",\n  \"collaborativeAgent.message.removeFailed\": \"Failed to remove collaborative Agent\",\n  \"collaborativeAgent.message.noParentAgent\": \"No parent Agent available\",\n  \"collaborativeAgent.message.notInEditMode\": \"Please enter edit mode first\",\n  \"collaborativeAgent.message.generatingInProgress\": \"Agent generation in progress, please wait\",\n  \"collaborativeAgent.message.circularDependency\": \"Circular Agent dependency detected\",\n\n  \"subAgentPool.button.exitCreate\": \"Exit Create\",\n  \"subAgentPool.management\": \"Agent Management\",\n  \"subAgentPool.loading\": \"Loading...\",\n  \"subAgentPool.button.create\": \"Create Agent\",\n  \"subAgentPool.button.import\": \"Import Agent\",\n  \"subAgentPool.button.importing\": \"Importing...\",\n  \"subAgentPool.message.unavailable\": \"This Agent is unavailable\",\n  \"subAgentPool.tooltip.unavailableAgent\": \"Agent is unavailable\",\n  \"subAgentPool.tooltip.hasUnavailableTools\": \"This Agent has been disabled because it contains unavailable tools. Please modify the tool configuration before using it\",\n  \"subAgentPool.section.agentList\": \"Agent List\",\n  \"subAgentPool.description.exitCreate\": \"Exit create mode\",\n  \"subAgentPool.description.createAgent\": \"Create custom Agent\",\n  \"subAgentPool.description.importing\": \"Importing...\",\n  \"subAgentPool.description.importAgent\": \"Import Agent from file\",\n  \"subAgentPool.tooltip.createNewAgent\": \"Click to create new Agent\",\n  \"subAgentPool.tooltip.exitCreateMode\": \"Click to exit create mode\",\n  \"subAgentPool.tooltip.exitEditMode\": \"Click to exit edit mode\",\n  \"subAgentPool.tooltip.editAgent\": \"Click to edit\",\n  \"subAgentPool.tooltip.duplicateNameDisabled\": \"Agent name already exists\",\n  \"subAgentPool.message.duplicateNameDisabled\": \"This Agent is disabled due to duplicate name with other Agents. Please change the name to use it\",\n\n  \"toolConfig.title.paramConfig\": \"Parameter Configuration\",\n  \"toolConfig.message.loadError\": \"Failed to load tool configuration\",\n  \"toolConfig.message.loadErrorUseDefault\": \"Failed to load tool configuration, using default configuration\",\n  \"toolConfig.message.saveSuccess\": \"Tool configuration saved successfully\",\n  \"toolConfig.message.saveError\": \"Save failed\",\n  \"toolConfig.message.saveFailed\": \"Save failed, please try again later\",\n  \"toolConfig.message.requiredFields\": \"The following required fields are not filled: \",\n  \"toolConfig.message.loadLastConfig\": \"Load Last Configuration\",\n  \"toolConfig.message.loadLastConfigSuccess\": \"Last configuration loaded successfully\",\n  \"toolConfig.message.loadLastConfigFailed\": \"Failed to load last configuration\",\n  \"toolConfig.message.loadLastConfigNotFound\": \"No last configuration found\",\n  \"toolConfig.input.model.placeholder\": \"Please select model\",\n  \"toolConfig.input.string.placeholder\": \"Please enter {{name}}\",\n  \"toolConfig.input.array.placeholder\": \"Please enter JSON array\",\n  \"toolConfig.placeholder.selectKb\": \"Please select knowledge bases\",\n  \"toolConfig.validation.selectKb\": \"Please select at least one knowledge base\",\n  \"toolConfig.validation.required\": \"This field is required\",\n  \"toolConfig.input.object.placeholder\": \"Please enter JSON object\",\n  \"toolConfig.toolTest.toolInfo\": \"Tool Information\",\n  \"toolConfig.toolTest.configParams\": \"Parameter Configuration\",\n  \"toolConfig.toolTest.inputParams\": \"Parameter Input\",\n  \"toolConfig.toolTest.executing\": \"Testing...\",\n  \"toolConfig.toolTest.execute\": \"Execute Test\",\n  \"toolConfig.toolTest.result\": \"Test Result\",\n  \"toolConfig.button.testTool\": \"Test Tool\",\n  \"toolConfig.button.closeTest\": \"Close Test Tool\",\n  \"toolConfig.toolTest.manualInput\": \"Manual Input\",\n  \"toolConfig.toolTest.parseMode\": \"Parse Mode\",\n  \"toolConfig.button.selectKnowledgeBases\": \"Select Knowledge Bases\",\n  \"toolConfig.input.knowledgeBaseSelector.placeholder\": \"Click to select {{name}}\",\n  \"toolConfig.knowledgeBaseSelector.title.default\": \"Select Knowledge Base\",\n  \"toolConfig.knowledgeBaseSelector.title.local\": \"Select Nexent Knowledge Base\",\n  \"toolConfig.knowledgeBaseSelector.title.dify\": \"Select Dify Knowledge Base\",\n  \"toolConfig.knowledgeBaseSelector.title.datamate\": \"Select DataMate Knowledge Base\",\n  \"toolPool.title\": \"Select tools\",\n  \"toolPool.loading\": \"Loading...\",\n  \"toolPool.loadingTools\": \"Loading tools...\",\n  \"toolPool.tooltip.disabledTool\": \"This tool is disabled, click to cancel activation\",\n  \"toolPool.tooltip.unavailableTool\": \"Tool is unavailable\",\n  \"toolPool.tooltip.viewOnlyMode\": \"View mode, cannot select tools\",\n  \"toolPool.message.unavailable\": \"This tool is unavailable\",\n  \"toolPool.message.viewOnlyMode\": \"Currently in view mode, cannot select tools\",\n  \"toolPool.error.unavailableSelected\": \"Agent contains unavailable tools, please modify\",\n  \"toolPool.tag.mcp\": \"MCP Tool\",\n  \"toolPool.tag.local\": \"Local Tool\",\n  \"toolPool.tag.langchain\": \"LangChain Tool\",\n  \"toolPool.group.local\": \"Local\",\n  \"toolPool.group.langchain\": \"LangChain\",\n  \"toolPool.group.other\": \"Other Tools\",\n  \"toolPool.category.other\": \"other\",\n  \"toolPool.noTools\": \"No tools available\",\n  \"toolPool.error.requiredFields\": \"The following required fields are not filled: {{fields}}\",\n  \"toolPool.vlmRequired\": \"VLM model required\",\n  \"toolPool.vlmDisabledTooltip\": \"Please contact your administrator to configure an available Vision Language Model\",\n  \"toolPool.embeddingDisabledTooltip\": \"Please contact your administrator to configure an available Embedding model\",\n  \"toolPool.tooltip.functionGuide\": \"1. For local knowledge base search functionality, please enable the knowledge_base_search tool;\\n2. For text file parsing functionality, please enable the analyze_text_file tool;\\n3. For image parsing functionality, please enable the analyze_image tool.\",\n  \"toolPool.duplicateToolName.title\": \"Duplicate Tool Name Detected\",\n  \"toolPool.duplicateToolName.content\": \"You have selected tools with the same name ({{toolName}}). Duplicate tool names will cause the agent to fail during runtime. Do you want to continue selecting this tool?\",\n  \"toolPool.duplicateToolName.confirm\": \"Continue\",\n  \"toolPool.duplicateToolName.cancel\": \"Cancel\",\n\n  \"tool.message.unavailable\": \"This tool is currently unavailable and cannot be selected\",\n  \"tool.error.noMainAgentId\": \"Main Agent ID is not set, cannot update tool status\",\n  \"tool.error.configFetchFailed\": \"Failed to get tool configuration\",\n  \"tool.message.statusUpdated\": \"Tool {{name}} has been {{status}}\",\n  \"tool.error.updateFailed\": \"Failed to update tool status\",\n  \"tool.error.updateRetry\": \"Failed to update tool status, please try again later\",\n\n  \"knowledgeBase.error.checkName\": \"Failed to check knowledge base name:\",\n  \"knowledgeBase.status.uploadingAndCreating\": \"Uploading and creating knowledge base...\",\n  \"knowledgeBase.status.notReady\": \"Knowledge base not ready\",\n  \"knowledgeBase.hint.selectFirst\": \"Please select a knowledge base to upload files\",\n  \"knowledgeBase.hint.changeName\": \"Please modify the knowledge base name to continue\",\n  \"knowledgeBase.upload.dragHint\": \"Click or drag files to this area to upload and add knowledge to the knowledge base\",\n  \"knowledgeBase.upload.supportedFormats\": \"Supports PDF, Word, PPT, Excel, MD, TXT file formats\",\n  \"knowledgeBase.upload.completed\": \"Upload completed\",\n  \"knowledgeBase.upload.fileCount\": \"{{count}} files\",\n  \"knowledgeBase.upload.status.uploading\": \"Uploading\",\n  \"knowledgeBase.upload.status.completed\": \"Completed\",\n  \"knowledgeBase.upload.status.failed\": \"Upload failed\",\n  \"knowledgeBase.upload.invalidFileType\": \"Only PDF, Word, PPT, Excel, MD, TXT, CSV file formats are supported!\",\n  \"knowledgeBase.check.nameError\": \"Failed to check knowledge base name\",\n  \"knowledgeBase.fetch.error\": \"Failed to fetch knowledge base information\",\n  \"knowledgeBase.fetch.retryError\": \"Failed to fetch knowledge base information, please try again later\",\n  \"knowledgeBase.error.fetchList\": \"Failed to fetch knowledge bases:\",\n  \"knowledgeBase.error.fetchListRetry\": \"Failed to load knowledge bases, please try again later\",\n  \"knowledgeBase.error.create\": \"Failed to create knowledge base:\",\n  \"knowledgeBase.error.createRetry\": \"Failed to create knowledge base, please try again later\",\n  \"knowledgeBase.error.delete\": \"Failed to delete knowledge base:\",\n  \"knowledgeBase.error.deleteRetry\": \"Failed to delete knowledge base, please try again later\",\n  \"knowledgeBase.error.loadSelected\": \"Failed to load selected knowledge bases:\",\n  \"knowledgeBase.error.loadSelectedRetry\": \"Failed to load selected knowledge bases, please try again later\",\n  \"knowledgeBase.error.saveSelected\": \"Failed to save selected knowledge bases\",\n  \"knowledgeBase.error.saveSelectedRetry\": \"Failed to save selected knowledge bases, please try again later\",\n  \"knowledgeBase.error.invalidUrlProtocol\": \"URL must start with http:// or https://\",\n  \"knowledgeBase.error.invalidUrlFormat\": \"Invalid URL format, please check your input\",\n  \"knowledgeBase.error.connectionFailed\": \"Cannot connect to DataMate server\",\n  \"knowledgeBase.error.syncFailed\": \"Failed to sync DataMate knowledge bases\",\n  \"knowledgeBase.message.testingConnection\": \"Testing connection...\",\n  \"knowledgeBase.message.testingSync\": \"Syncing knowledge bases...\",\n  \"knowledgeBase.list.title\": \"Knowledge Base List\",\n  \"knowledgeBase.button.create\": \"Create\",\n  \"knowledgeBase.button.sync\": \"Sync\",\n  \"knowledgeBase.button.syncDataMate\": \"Sync DataMate Knowledge Bases\",\n  \"knowledgeBase.selected.prefix\": \"Selected\",\n  \"knowledgeBase.selected.suffix\": \"knowledge bases for retrieval\",\n  \"knowledgeBase.selected.count\": \"{{count}} selected\",\n  \"knowledgeBase.button.clearSelection\": \"Clear Selection\",\n  \"knowledgeBase.button.selectAll\": \"Select All\",\n  \"knowledgeBase.button.removeKb\": \"Remove knowledge base {{name}}\",\n  \"knowledgeBase.tag.documents\": \"{{count}} Documents\",\n  \"knowledgeBase.tag.chunks\": \"{{count}} Chunks\",\n  \"knowledgeBase.tag.source\": \"From {{source}}\",\n  \"knowledgeBase.tag.createdAt\": \"Created on {{date}}\",\n  \"knowledgeBase.tag.model\": \"{{model}} Model\",\n  \"knowledgeBase.tag.modelMismatch\": \"Model Mismatch\",\n  \"knowledgeBase.upload.modelMismatch.description\": \"The model of the current knowledge base does not match the configured model, file upload is not allowed, please switch the knowledge base or adjust the model configuration\",\n  \"knowledgeBase.list.empty\": \"No knowledge bases yet, please create one first\",\n  \"knowledgeBase.list.noResults\": \"No matching knowledge bases found\",\n  \"knowledgeBase.search.placeholder\": \"Search knowledge base name\",\n  \"knowledgeBase.filter.source.placeholder\": \"Filter by source\",\n  \"knowledgeBase.filter.model.placeholder\": \"Filter by model\",\n  \"knowledgeBase.filter.clear\": \"Clear filters\",\n  \"knowledgeBase.source.nexent\": \"Nexent\",\n  \"knowledgeBase.source.datamate\": \"DataMate\",\n  \"knowledgeBase.source.dify\": \"Dify\",\n  \"knowledgeBase.datamate.editDisabled\": \"Nexent is unable to upload files to the DataMate knowledge base. Please go to the DataMate page to perform the operation.\",\n  \"knowledgeBase.filter.allSources\": \"All Sources\",\n  \"knowledgeBase.filter.allModels\": \"All Models\",\n  \"knowledgeBase.filter.source\": \"Source\",\n  \"knowledgeBase.filter.model\": \"Model\",\n  \"knowledgeBase.modal.deleteConfirm.title\": \"Confirm Delete Knowledge Base\",\n  \"knowledgeBase.modal.deleteConfirm.content\": \"Are you sure you want to delete this knowledge base? This action cannot be undone.\",\n  \"knowledgeBase.modal.deleteDataMate.title\": \"Cannot Delete DataMate Knowledge Base\",\n  \"knowledgeBase.modal.deleteDataMate.content\": \"Nexent cannot delete DataMate knowledge bases. Please go to the DataMate page to perform the operation.\",\n  \"knowledgeBase.message.deleteSuccess\": \"Knowledge base deleted successfully\",\n  \"knowledgeBase.message.deleteError\": \"Failed to delete knowledge base\",\n  \"knowledgeBase.message.syncSuccess\": \"Knowledge base synchronized successfully\",\n  \"knowledgeBase.message.syncError\": \"Failed to synchronize knowledge base\",\n  \"knowledgeBase.message.syncDataMateSuccess\": \"DataMate knowledge bases synchronized successfully\",\n  \"knowledgeBase.message.syncDataMateError\": \"Failed to synchronize DataMate knowledge bases, please check the URL validity\",\n  \"knowledgeBase.button.dataMateConfig\": \"DataMate Config\",\n  \"knowledgeBase.message.dataMateConfigSaved\": \"DataMate configuration saved successfully\",\n  \"knowledgeBase.message.dataMateConfigError\": \"Failed to save DataMate configuration\",\n  \"knowledgeBase.modal.dataMateConfig.title\": \"DataMate Configuration\",\n  \"knowledgeBase.modal.dataMateConfig.urlLabel\": \"DataMate URL\",\n  \"knowledgeBase.modal.dataMateConfig.urlPlaceholder\": \"Enter DataMate server address\",\n  \"knowledgeBase.modal.dataMateConfig.description\": \"Configure the DataMate server address for synchronizing external knowledge base data.\",\n  \"knowledgeBase.message.nameRequired\": \"Please enter knowledge base name\",\n  \"knowledgeBase.message.nameExists\": \"Knowledge base {{name}} already exists, please use a different name\",\n  \"knowledgeBase.error.nameExistsInOtherTenant\": \"Knowledge base {{name}} is used by another tenant, please use a different name\",\n  \"knowledgeBase.message.createError\": \"Failed to create knowledge base\",\n  \"knowledgeBase.message.createUploadError\": \"Failed to create knowledge base or upload files\",\n  \"knowledgeBase.message.selectFirst\": \"Please select a knowledge base first\",\n  \"knowledgeBase.description.default\": \"Knowledge base created through document upload\",\n  \"knowledgeBase.empty.title\": \"No Knowledge Base Selected\",\n  \"knowledgeBase.empty.description\": \"Please select a knowledge base from the list on the left, or create a new one\",\n  \"knowledgeBase.error.createUpload\": \"Failed to create knowledge base or upload files:\",\n  \"knowledgeBase.error.getSummary\": \"Failed to generate knowledge base summary:\",\n  \"knowledgeBase.summary.notGenerated\": \"Knowledge base summary was not generated, please change model configuration and retry\",\n  \"knowledgeBase.name.new\": \"new_base\",\n  \"knowledgeBase.message.getDocumentsFailed\": \"Failed to get documents\",\n  \"knowledgeBase.create.permission.groupPlaceholder\": \"No user group\",\n  \"knowledgeBase.ingroup.permission.EDIT\": \"In Group Read/Write\",\n  \"knowledgeBase.ingroup.permission.READ_ONLY\": \"In Group Read Only\",\n  \"knowledgeBase.ingroup.permission.PRIVATE\": \"Personal Private\",\n  \"knowledgeBase.ingroup.permission.DEFAULT\": \"In Group Read Only (Default)\",\n\n  \"document.error.fetch\": \"Failed to fetch documents\",\n  \"document.error.load\": \"Failed to load documents\",\n  \"document.error.upload\": \"Failed to upload documents\",\n  \"document.error.delete\": \"Failed to delete document\",\n  \"document.error.retry\": \"Please try again later\",\n  \"document.message.deleteSuccess\": \"Document deleted successfully\",\n  \"document.modelMismatch.withModels\": \"Current model {{currentModel}} does not match knowledge base model {{knowledgeBaseModel}}, cannot use\",\n  \"document.modelMismatch.general\": \"Current model does not match, cannot use\",\n  \"document.summary.selectKnowledgeBase\": \"Please select a knowledge base first\",\n  \"document.summary.completed\": \"Knowledge base summary completed\",\n  \"document.summary.error\": \"Failed to get knowledge base summary\",\n  \"document.summary.emptyContent\": \"Summary content cannot be empty\",\n  \"document.summary.saveSuccess\": \"Summary saved successfully\",\n  \"document.summary.saveError\": \"Failed to save summary\",\n  \"document.summary.saveFailed\": \"Save failed\",\n  \"document.summary.title\": \"Knowledge Base Summary\",\n  \"document.summary.modelLabel\": \"Model\",\n  \"document.summary.modelPlaceholder\": \"Select Model\",\n  \"document.status.creating\": \"Creating...\",\n  \"document.status.loadingList\": \"Loading document list...\",\n  \"document.status.waitingForTask\": \"Waiting for task creation...\",\n  \"document.input.knowledgeBaseName\": \"Please enter knowledge base name\",\n  \"document.button.details\": \"Details\",\n  \"document.button.overview\": \"Overview\",\n  \"document.button.detail\": \"Chunk Details\",\n  \"document.button.autoSummary\": \"Auto Summary\",\n  \"document.title.createNew\": \"Create New Knowledge Base\",\n  \"document.hint.uploadToCreate\": \"Please select files to upload to complete knowledge base creation\",\n  \"document.hint.noDocuments\": \"No documents in this knowledge base, please upload documents\",\n  \"document.table.header.name\": \"Document Name\",\n  \"document.table.header.status\": \"Status\",\n  \"document.table.header.size\": \"Size\",\n  \"document.table.header.date\": \"Upload Date\",\n  \"document.table.header.action\": \"Action\",\n  \"document.status.waitForProcessing\": \"Waiting to Process\",\n  \"document.status.waitForForwarding\": \"Waiting to Forward\",\n  \"document.status.processing\": \"Processing\",\n  \"document.status.forwarding\": \"Forwarding\",\n  \"document.status.completed\": \"Ready\",\n  \"document.status.processFailed\": \"Process Failed\",\n  \"document.status.forwardFailed\": \"Forward Failed\",\n  \"document.progress.chunksProcessed\": \"Processed {{processed}}/{{total}} chunks ({{percent}}%)\",\n  \"document.error.reason\": \"Error Reason\",\n  \"document.error.suggestion\": \"Suggestion\",\n  \"document.error.noReason\": \"No error reason available\",\n  \"document.error.code.ray_init_failed.message\": \"Failed to initialize Ray cluster\",\n  \"document.error.code.ray_init_failed.suggestion\": \"Please upgrade to the latest image version and redeploy.\",\n  \"document.error.code.no_valid_chunks.message\": \"The data processing kernel could not extract valid text from the document\",\n  \"document.error.code.no_valid_chunks.suggestion\": \"Please ensure the document format is supported and the content is not purely images.\",\n  \"document.error.code.vector_service_busy.message\": \"Vectorization model service is busy and cannot return vectors\",\n  \"document.error.code.vector_service_busy.suggestion\": \"Please switch the model service provider or try again later.\",\n  \"document.error.code.es_bulk_failed.message\": \"Failed to write vectors into the database\",\n  \"document.error.code.es_bulk_failed.suggestion\": \"Please ensure the Elasticsearch data path has sufficient disk space and write permissions.\",\n  \"document.error.code.es_dim_mismatch.message\": \"Embedding dimension does not match the Elasticsearch mapping\",\n  \"document.error.code.es_dim_mismatch.suggestion\": \"Please delete all embedding models and add the model again to try again.\",\n  \"document.error.code.embedding_chunks_exceed_limit.message\": \"The current chunk count exceeds the embedding model concurrency limit\",\n  \"document.error.code.embedding_chunks_exceed_limit.suggestion\": \"Please increase the chunk size to reduce the number of chunks and try again.\",\n  \"document.error.code.unsupported_file_format.message\": \"Unsupported line breaks detected in the document\",\n  \"document.error.code.unsupported_file_format.suggestion\": \"Please convert all line breaks to LF format and try again\",\n  \"document.modal.deleteConfirm.title\": \"Confirm Delete Document\",\n  \"document.modal.deleteConfirm.content\": \"Are you sure you want to delete this document? This action cannot be undone.\",\n  \"document.message.noFiles\": \"Please select files first\",\n  \"document.message.uploadError\": \"Failed to upload files\",\n  \"document.chunk.noChunks\": \"No chunks available\",\n  \"document.chunk.characterCount\": \"{{count}} characters\",\n  \"document.chunk.error.loadFailed\": \"Failed to load chunks\",\n  \"document.chunk.error.downloadFailed\": \"Failed to download chunk\",\n  \"document.chunk.error.searchFailed\": \"Failed to search chunks\",\n  \"document.chunk.tooltip.edit\": \"Edit chunk\",\n  \"document.chunk.tooltip.download\": \"Download chunk\",\n  \"document.chunk.tooltip.delete\": \"Delete chunk\",\n  \"document.chunk.tooltip.create\": \"Create chunk\",\n  \"document.chunk.success.create\": \"Chunk created successfully\",\n  \"document.chunk.success.update\": \"Chunk updated successfully\",\n  \"document.chunk.success.delete\": \"Chunk deleted successfully\",\n  \"document.chunk.error.createFailed\": \"Failed to create chunk\",\n  \"document.chunk.error.updateFailed\": \"Failed to update chunk\",\n  \"document.chunk.error.deleteFailed\": \"Failed to delete chunk\",\n  \"document.chunk.error.missingChunkId\": \"Chunk identifier is missing\",\n  \"document.chunk.tooltip.disabledDueToModelMismatch\": \"The currently configured embedding model ({{currentModel}}) does not match the knowledge base model ({{knowledgeBaseModel}}). You cannot create chunks or perform retrieval until you use the same embedding model as the knowledge base.\",\n  \"document.chunk.form.createTitle\": \"Create chunk\",\n  \"document.chunk.form.editTitle\": \"Edit chunk\",\n  \"document.chunk.form.documentName\": \"Document\",\n  \"document.chunk.form.filename\": \"Filename\",\n  \"document.chunk.form.content\": \"Content\",\n  \"document.chunk.form.filenamePlaceholder\": \"Optional filename\",\n  \"document.chunk.form.contentPlaceholder\": \"Enter chunk content\",\n  \"document.chunk.form.requiredContent\": \"Please enter chunk content\",\n  \"document.chunk.confirm.deleteTitle\": \"Delete chunk?\",\n  \"document.chunk.confirm.deleteContent\": \"This action cannot be undone.\",\n  \"document.chunk.search.empty\": \"Please enter a search term\",\n  \"document.chunk.search.noDocument\": \"No document matches the provided name\",\n  \"document.chunk.search.noChunk\": \"No chunks match this search in the current document\",\n  \"document.chunk.search.noActiveDocument\": \"Select a document before running chunk search\",\n  \"document.chunk.search.placeholder\": \"Retrieval Search...\",\n  \"document.chunk.search.document\": \"Docs\",\n  \"document.chunk.search.chunk\": \"Chunk\",\n  \"document.chunk.pagination.range\": \"{{start}}-{{end}} of {{total}}\",\n  \"document.chunk.pagination.jumpTo\": \"Go to\",\n  \"document.chunk.pagination.page\": \"Page\",\n\n  \"model.dialog.title\": \"Add Model\",\n  \"model.dialog.label.type\": \"Model Type\",\n  \"model.dialog.label.multimodal\": \"Multimodal\",\n  \"model.dialog.label.name\": \"Model Name\",\n  \"model.dialog.label.displayName\": \"Display Name\",\n  \"model.dialog.label.url\": \"Model URL\",\n  \"model.dialog.label.apiKey\": \"API Key\",\n  \"model.dialog.label.maxTokens\": \"Max Tokens\",\n  \"model.dialog.label.batchImport\": \"Batch Add\",\n  \"model.dialog.label.provider\": \"Model Provider\",\n  \"model.dialog.label.currentlySupported\": \"Currently supported:\",\n  \"model.dialog.placeholder.name\": \"Enter model name as in request body\",\n  \"model.dialog.placeholder.displayName\": \"Enter display name for the model\",\n  \"model.dialog.placeholder.url\": \"Enter model URL, e.g. https://api.openai.com/v1\",\n  \"model.dialog.placeholder.modelEngineUrl\": \"Enter ModelEngine host URL, e.g. https://120.253.225.102:50001\",\n  \"model.dialog.placeholder.url.embedding\": \"Enter model URL, e.g. https://api.openai.com/v1/embeddings\",\n  \"model.dialog.placeholder.apiKey\": \"Enter API Key\",\n  \"model.dialog.placeholder.maxTokens\": \"Enter maximum tokens\",\n  \"model.dialog.settings.title\": \"Model Settings\",\n  \"model.dialog.settings.label.maxTokens\": \"Max Tokens\",\n  \"model.dialog.modelList.tooltip.settings\": \"Model Settings\",\n  \"model.dialog.hint.multimodalEnabled\": \"Multimodal vector model can process both images and text\",\n  \"model.dialog.hint.multimodalDisabled\": \"Text vector model only processes text\",\n  \"model.dialog.hint.batchImportEnabled\": \"Batch add enabled. Multiple models will be added at once.\",\n  \"model.dialog.hint.batchImportDisabled\": \"Batch add disabled. Only a single model will be added.\",\n  \"model.provider.silicon\": \"SiliconFlow\",\n  \"model.provider.dashscope\": \"DashScope\",\n  \"model.provider.tokenpony\": \"TokenPony\",\n  \"model.provider.modelengine\": \"ModelEngine\",\n  \"model.dialog.modelList.title\": \"Show Models\",\n  \"model.dialog.modelList.searchPlaceholder\": \"Search models by name\",\n  \"model.dialog.modelList.noResults\": \"No models match your search\",\n  \"model.dialog.connectivity.title\": \"Connectivity Verification\",\n  \"model.dialog.connectivity.status.checking\": \"Detecting\",\n  \"model.dialog.connectivity.status.available\": \"Available\",\n  \"model.dialog.connectivity.status.unavailable\": \"Unavailable\",\n  \"model.dialog.connectivity.status.not_detected\": \"Not Detected\",\n  \"model.dialog.button.modelList\": \"Get Models\",\n  \"model.dialog.button.verify\": \"Verify\",\n  \"model.dialog.button.verifying\": \"Verifying...\",\n  \"model.dialog.button.add\": \"Add\",\n  \"model.dialog.help.title\": \"Model Configuration Guide\",\n  \"model.dialog.help.content\": \"Please fill in the model's basic information. API Key and display name are optional, other fields are required. It's recommended to verify connectivity before adding the model. For detailed configuration methods, please refer to [Model Configuration](https://modelengine-group.github.io/nexent/en/user-guide/model-management.html).\",\n  \"model.dialog.help.content.batchImport\": \"Please fill in the provider's basic information. API Key and provider name are required, other fields are optional. It's recommended to verify connectivity before adding the model. For detailed configuration methods, please refer to [Model Configuration](https://modelengine-group.github.io/nexent/en/user-guide/model-management.html).\",\n  \"model.dialog.warning.incompleteForm\": \"Please complete the model configuration information first\",\n  \"model.dialog.status.verifying\": \"Verifying model connectivity...\",\n  \"model.dialog.success.connectivityVerified\": \"Model connectivity verification successful!\",\n  \"model.dialog.error.connectivityRequired\": \"Please verify model connectivity and ensure connection is successful before adding the model\",\n  \"model.dialog.error.connectivityFailed\": \"Model connectivity verification failed: {{error}}\",\n  \"model.dialog.error.addFailed\": \"Failed to add model: {{error}}\",\n  \"model.dialog.error.nameAlreadyInUse\": \"Name '{{name}}' is already in use, please choose another display name\",\n  \"model.dialog.error.modelNotFound\": \"Model not found: {{name}}\",\n  \"model.dialog.error.failedToConnect\": \"Failed to connect to model '{{modelName}}' at {{url}}. Please verify the URL, API key, and network connection.\",\n  \"model.dialog.error.unsupportedModelType\": \"Unsupported model type: {{type}}\",\n  \"model.dialog.error.invalidConfiguration\": \"Invalid configuration: {{error}}\",\n  \"model.dialog.error.addFailedLog\": \"Failed to add model\",\n  \"model.dialog.error.noModelsFetched\": \"No models retrieved. Please check if models are deployed on ModelEngine\",\n  \"model.dialog.error.provider\": {\n    \"title\": \"Model Provider Connection Failed\",\n    \"noModels\": \"No models retrieved. Please check if models are deployed on {{provider}}\",\n    \"connectionFailed\": \"Failed to connect to {{provider}}. Please verify the URL and API Key\",\n    \"authenticationFailed\": \"{{provider}} authentication failed. Please verify the API Key\",\n    \"accessDenied\": \"Access denied. Please check your permissions\",\n    \"endpointNotFound\": \"API endpoint not found. Please verify the URL configuration\",\n    \"serverError\": \"{{provider}} server error (HTTP {{code}}). Please try again later\",\n    \"timeout\": \"Connection timed out. Please check the network connection\",\n    \"sslError\": \"SSL certificate error. Please verify the URL and SSL configuration\"\n  },\n  \"model.dialog.message.noModels\": \"Please fetch models first\",\n  \"model.dialog.success.updateSuccess\": \"Updated successfully\",\n  \"model.dialog.editTitle\": \"Edit Model\",\n  \"model.dialog.editSuccess\": \"Model updated successfully\",\n  \"model.dialog.error.editFailed\": \"Failed to update model\",\n  \"model.dialog.error.nameConflict\": \"Name '{{name}}' is already in use, please choose another display name\",\n  \"model.dialog.error.serverError\": \"Server internal error, please try again later\",\n  \"model.type.llm\": \"Large Language Model\",\n  \"model.type.embedding\": \"Embedding Model\",\n  \"model.type.vlm\": \"Vision Language Model\",\n  \"model.type.rerank\": \"Rerank Model\",\n  \"model.type.stt\": \"Speech-to-Text Model\",\n  \"model.type.tts\": \"Text-to-Speech Model\",\n  \"model.type.multiEmbedding\": \"Multimodal Embedding Model\",\n  \"model.type.unknown\": \"Unknown Model\",\n  \"model.dialog.edit.title\": \"Edit Custom Model\",\n  \"model.dialog.edit.selectType\": \"Please select the type of model to edit:\",\n  \"model.dialog.delete.customModelCount\": \"{{count}} custom models\",\n  \"model.dialog.delete.unsupportedType\": \" (deletion not supported)\",\n  \"model.dialog.delete.unsupportedTypeHint\": \"Deletion of this model type is not supported yet\",\n  \"model.dialog.delete.deleteHint\": \"Delete model\",\n  \"model.dialog.delete.noModels\": \"No custom models available for deletion\",\n  \"model.dialog.delete.noModelsOfType\": \"No {{type}} available for deletion\",\n  \"model.dialog.delete.warning\": \"Model deletion cannot be undone. If you delete a model that is currently in use, related configurations will be reset.\",\n  \"model.dialog.edit.warning\": \"Before batch editing models, please confirm the correctness of the related API keys. If you edit the model currently in use, related configurations will be reset.\",\n  \"model.message.deleteSuccess\": \"Successfully deleted model: {{name}}\",\n  \"model.message.deleteFailed\": \"Failed to delete model: {{name}}\",\n  \"model.error.deleteError\": \"Error deleting model:\",\n  \"model.source.custom\": \"Custom\",\n  \"model.source.modelEngine\": \"ModelEngine\",\n  \"model.source.openai\": \"OpenAI\",\n  \"model.source.silicon\": \"Silicon Flow\",\n  \"model.source.dashscope\": \"DashScope\",\n  \"model.source.tokenpony\": \"TokenPony\",\n  \"model.source.unknown\": \"Unknown Source\",\n  \"model.warning.updateNotFound\": \"Model not found for update: {{displayName}}, type: {{type}}\",\n  \"model.type.main\": \"LLM Model\",\n  \"model.select.placeholder\": \"Select Model\",\n  \"model.group.modelEngine\": \"ModelEngine Models\",\n  \"model.group.silicon\": \"Silicon Flow Models\",\n  \"model.group.dashscope\": \"DashScope Models\",\n  \"model.group.tokenpony\": \"TokenPony Models\",\n  \"model.group.custom\": \"Custom Models\",\n  \"model.status.tooltip\": \"Click to verify connectivity\",\n  \"model.dialog.embeddingConfig.title\": \"Edit Embedding Model: {{modelName}}\",\n\n  \"appConfig.appName.label\": \"Application Name\",\n  \"appConfig.appName.placeholder\": \"Please enter your application name\",\n  \"appConfig.description.label\": \"Description\",\n  \"appConfig.description.placeholder\": \"Please enter application description\",\n  \"appConfig.upload.imageOnly\": \"Please upload an image file\",\n  \"appConfig.upload.sizeLimit\": \"Image size cannot exceed 2MB\",\n  \"appConfig.icon.modalTitle\": \"Customize Icon\",\n  \"appConfig.icon.preset\": \"Preset Icons\",\n  \"appConfig.icon.custom\": \"Custom Image\",\n  \"appConfig.icon.selectIcon\": \"Select Icon\",\n  \"appConfig.icon.selectColor\": \"Select Color\",\n  \"appConfig.icon.presetColors\": \"Preset Colors\",\n  \"appConfig.icon.preview\": \"Icon Preview\",\n  \"appConfig.icon.previewAlt\": \"Preview\",\n  \"appConfig.icon.customAlt\": \"Custom Avatar\",\n  \"appConfig.icon.removeImage\": \"Remove Image\",\n  \"appConfig.icon.uploadHint\": \"Click to upload image\",\n  \"appConfig.icon.uploadTip\": \"Supports JPG, PNG formats, size limit 2MB\",\n  \"appConfig.icon.saveError\": \"Failed to save icon, please try again\",\n  \"appConfig.icon.saveErrorLog\": \"Failed to save icon settings:\",\n\n  \"modelConfig.category.llm\": \"Large Language Models\",\n  \"modelConfig.category.embedding\": \"Embedding Models\",\n  \"modelConfig.category.reranker\": \"Reranker Models\",\n  \"modelConfig.category.multimodal\": \"Multimodal Models\",\n  \"modelConfig.category.voice\": \"Voice Models\",\n  \"modelConfig.option.mainModel\": \"LLM Model\",\n  \"modelConfig.option.embeddingModel\": \"Embedding Model\",\n  \"modelConfig.option.multiEmbeddingModel\": \"Multimodal Embedding Model\",\n  \"modelConfig.option.rerankerModel\": \"Reranker Model\",\n  \"modelConfig.option.vlmModel\": \"Vision Language Model\",\n  \"modelConfig.option.ttsModel\": \"Text-to-Speech Model\",\n  \"modelConfig.option.sttModel\": \"Speech-to-Text Model\",\n  \"modelConfig.error.loadList\": \"Failed to load model list:\",\n  \"modelConfig.error.loadListFailed\": \"Failed to load model list\",\n  \"modelConfig.error.syncFailed\": \"Failed to sync models\",\n  \"modelConfig.error.verifyCustomModel\": \"Failed to verify custom model {{model}}:\",\n  \"modelConfig.message.syncSuccess\": \"Models synced successfully\",\n  \"modelConfig.message.addSuccess\": \"Model added successfully\",\n  \"modelConfig.button.syncModelEngine\": \"Sync ModelEngine Models\",\n  \"modelConfig.button.addCustomModel\": \"Add Model\",\n  \"modelConfig.button.editCustomModel\": \"Edit or Delete Model\",\n  \"modelConfig.button.checkConnectivity\": \"Check Model Connectivity\",\n  \"modelConfig.button.sync\": \"Sync\",\n  \"modelConfig.button.add\": \"Add\",\n  \"modelConfig.button.edit\": \"Edit\",\n  \"modelConfig.button.check\": \"Check\",\n  \"modelConfig.slider.chunkingSize\": \"Chunk Size\",\n  \"modelConfig.slider.expectedChunkSize\": \"Expected Chunk Size\",\n  \"modelConfig.slider.maximumChunkSize\": \"Maximum Chunk Size\",\n  \"modelConfig.input.chunkingBatchSize\": \"Concurrent Request Count\",\n\n  \"businessLogic.title\": \"Describe how should this Agent work\",\n  \"businessLogic.placeholder\": \"Please describe your business scenario and requirements...\",\n  \"businessLogic.config.title\": \"Configure Agent Capabilities\",\n  \"businessLogic.config.model\": \"Model\",\n  \"businessLogic.config.modelPlaceholder\": \"Please select a model\",\n  \"businessLogic.config.maxSteps\": \"Max Steps of Agent Run\",\n  \"businessLogic.config.button.generatePrompt\": \"Generate\",\n  \"businessLogic.config.button.generating\": \"Generating...\",\n  \"businessLogic.config.modal.deleteTitle\": \"Confirm Delete\",\n  \"businessLogic.config.modal.deleteContent\": \"Are you sure you want to delete this Agent? This action cannot be undone.\",\n  \"businessLogic.config.modal.button.cancel\": \"Cancel\",\n  \"businessLogic.config.modal.button.confirm\": \"Confirm Delete\",\n  \"businessLogic.config.message.agentCreated\": \"Agent {{name}} {{action}} successfully\",\n  \"businessLogic.config.message.completeAgentInfo\": \"Please complete the Agent information\",\n  \"businessLogic.config.message.generatePromptFirst\": \"Please generate the system prompt first\",\n  \"businessLogic.config.message.selectModelRequired\": \"Please select a model\",\n  \"businessLogic.config.message.businessDescriptionRequired\": \"Please enter business description first\",\n  \"businessLogic.config.message.generateSuccess\": \"Agent prompt generated successfully\",\n  \"businessLogic.config.message.generateError\": \"Failed to generate Agent prompt\",\n  \"businessLogic.config.error.noAgentId\": \"Cannot continue: Agent ID is not set\",\n  \"businessLogic.config.error.businessDescriptionRequired\": \"Please enter business description first\",\n  \"businessLogic.config.error.nameEmpty\": \"Agent name cannot be empty\",\n  \"businessLogic.config.error.saveFailed\": \"Failed to save Agent\",\n  \"businessLogic.config.error.saveRetry\": \"Failed to save Agent, please try again later\",\n  \"businessLogic.config.error.agentImportFailed\": \"Agent import failed\",\n  \"businessLogic.config.error.agentDeleteFailed\": \"Agent delete failed\",\n  \"businessLogic.config.error.agentImportSuccess\": \"Agent import success\",\n  \"businessLogic.config.error.agentDeleteSuccess\": \"Agent delete success\",\n  \"businessLogic.config.error.invalidFileType\": \"Invalid file type, please check the JSON format\",\n  \"businessLogic.config.error.agentListFailed\": \"Failed to get Agent list\",\n  \"businessLogic.config.error.agentExportFailed\": \"Failed to export Agent\",\n  \"businessLogic.config.message.agentExportSuccess\": \"Agent export success\",\n  \"businessLogic.config.error.agentIdFailed\": \"Failed to get new Agent ID\",\n  \"businessLogic.config.error.agentDetailFailed\": \"Failed to get Agent detail\",\n  \"businessLogic.config.message.agentDeleteSuccess\": \"Agent delete success\",\n  \"businessLogic.config.message.agentDeleteFailed\": \"Agent delete failed\",\n  \"businessLogic.config.message.agentSaveSuccess\": \"Agent save success\",\n  \"businessLogic.config.import.duplicateTitle\": \"Duplicate Agent detected\",\n  \"businessLogic.config.import.duplicateDescription\": \"The imported Agent name or display name conflicts with an existing Agent. You can choose to import directly or call the LLM to regenerate a unique name before importing.\",\n  \"businessLogic.config.import.duplicateConfirm\": \"Regenerate and import\",\n  \"businessLogic.config.import.duplicateCancel\": \"Cancel import\",\n  \"businessLogic.config.import.forceButton\": \"Import anyway\",\n  \"businessLogic.config.import.forceWarning\": \"Direct import keeps the duplicate names. The imported Agent remains unavailable until you manually update its name and display name.\",\n  \"businessLogic.config.import.regenerateTooltip\": \"Regenerate and import will call the LLM to rename the Agent, which may take some time.\",\n\n  \"login.expired.title\": \"Login Expired\",\n  \"login.expired.content\": \"Your login session has expired. Please log in again to continue.\",\n  \"login.expired.okText\": \"Login Now\",\n  \"login.expired.cancelText\": \"Back to Home\",\n\n  \"page.permissionDenied.title\": \"Access Denied\",\n  \"page.permissionDenied.content\": \"Please switch to an account with access permissions or visit another page.\",\n\n  \"auth.notLoggedIn\": \"You are not logged in\",\n  \"auth.login\": \"Login\",\n  \"auth.register\": \"Register\",\n  \"auth.logout\": \"Logout\",\n  \"auth.confirmLogout\": \"Confirm Logout\",\n  \"auth.confirmLogoutPrompt\": \"Are you sure you want to log out?\",\n  \"auth.confirm\": \"Confirm\",\n  \"auth.cancel\": \"Cancel\",\n  \"auth.loginTitle\": \"Login\",\n  \"auth.emailLabel\": \"Email Address\",\n  \"auth.emailRequired\": \"Please enter your email address\",\n  \"auth.emailPlaceholder\": \"your@email.com\",\n  \"auth.passwordLabel\": \"Password\",\n  \"auth.passwordRequired\": \"Please enter your password\",\n  \"auth.authServiceUnavailable\": \"Authentication service is currently unavailable, please try again later\",\n  \"auth.invalidCredentials\": \"Incorrect account or password, please try again\",\n  \"auth.loggingIn\": \"Logging in...\",\n  \"auth.noAccount\": \"Don't have an account?\",\n  \"auth.registerNow\": \"Register now\",\n  \"auth.sessionExpired\": \"Your session has expired, please log in again\",\n  \"auth.registerTitle\": \"Create Account\",\n  \"auth.passwordMinLength\": \"Password must be at least 6 characters long\",\n  \"auth.passwordsDoNotMatch\": \"Passwords do not match\",\n  \"auth.confirmPasswordLabel\": \"Confirm Password\",\n  \"auth.confirmPasswordRequired\": \"Please confirm your password\",\n  \"auth.registering\": \"Registering...\",\n  \"auth.registeringAdmin\": \"Registering Administrator...\",\n  \"auth.hasAccount\": \"Already have an account?\",\n  \"auth.loginNow\": \"Login now\",\n  \"auth.loginSuccess\": \"Login successful, welcome back!\",\n  \"auth.registerSuccessAutoLogin\": \"Registration successful, you have been automatically logged in\",\n  \"auth.registerSuccessManualLogin\": \"Registration successful, please log in\",\n  \"auth.adminRegisterSuccessAutoLogin\": \"🎉 Administrator account registration successful! You have been automatically logged in with system admin privileges\",\n  \"auth.adminRegisterSuccessManualLogin\": \"🎉 Administrator account registration successful! Please log in to access admin privileges\",\n  \"auth.logoutSuccess\": \"You have successfully logged out\",\n  \"auth.logoutFailed\": \"Logout failed, please try again\",\n  \"auth.accessDenied\": \"You do not have permission to access this page\",\n  \"auth.revoke\": \"Delete Account\",\n  \"auth.confirmRevoke\": \"Delete Account\",\n  \"auth.confirmRevokePrompt\": \"Are you sure you want to delete your account? This action cannot be undone!\",\n  \"auth.confirmRevokeOk\": \"Delete Anyway\",\n  \"auth.revokeSuccess\": \"Account deleted successfully\",\n  \"auth.revokeFailed\": \"Account deletion failed, please try again later\",\n  \"auth.refuseRevoke\": \"Delete Account\",\n  \"auth.refuseRevokePrompt\": \"Your role is administrator. Account deletion for admin is not yet supported.\",\n  \"auth.adminAccount\": \"Administrator Account\",\n  \"auth.adminAccountDescription\": \"Administrators have more privileges to configure models, create Agents, etc.\",\n  \"auth.admin\": \"Admin\",\n  \"auth.user\": \"User\",\n  \"auth.su\": \"Super Admin\",\n  \"auth.dev\": \"Developer\",\n  \"auth.speed\": \"Default Role\",\n  \"auth.inviteCodeLabel\": \"Invite Code\",\n  \"auth.inviteCodeRequired\": \"Invite code is required\",\n  \"auth.inviteCodePlaceholder\": \"Please enter invite code\",\n  \"auth.registerAdmin\": \"Register Administrator Account\",\n  \"auth.inviteCodeNotConfigured\": \"Admin invite code is not configured yet. Please contact system admin for help.\",\n  \"auth.inviteCodeInvalid\": \"Invalid administrator invite code, please check and try again\",\n  \"auth.emailAlreadyExists\": \"This email is already registered, please use another email or try logging in\",\n  \"auth.weakPassword\": \"Password is too weak, please set a more secure password\",\n  \"auth.invalidEmailFormat\": \"Invalid email format, please check and try again\",\n  \"auth.networkError\": \"Network connection timeout, please check your network and try again\",\n  \"auth.registrationServiceError\": \"Registration service is temporarily unavailable, please try again later\",\n  \"auth.unknownError\": \"Registration failed, please try again later\",\n  \"auth.inviteCodeHint.title\": \"How to get administrator invite code?\",\n  \"auth.inviteCodeHint.step1\": \"Go to our \",\n  \"auth.inviteCodeHint.step2\": \"Visit our \",\n  \"auth.inviteCodeHint.step3\": \"Join our \",\n  \"auth.inviteCodeHint.starAction\": \" and give us a Star\",\n  \"auth.inviteCodeHint.step2Action\": \" leave a trace to become a co-creator\",\n  \"auth.inviteCodeHint.step3Action\": \" and get your exclusive invite code\",\n  \"auth.inviteCodeHint.popoverTitle\": \"How to Get Invite Code\",\n  \"auth.inviteCodeHint.howToGetCode\": \"How to get invite code?\",\n  \"auth.inviteCodeHint.communityLink\": \"technical community\",\n  \"auth.inviteCodeHint.projectLink\": \"project page\",\n  \"auth.inviteCodeHint.contributionWallLink\": \"contribution wall\",\n  \"auth.inviteCodeHint.contributionWallUrl\": \"https://github.com/ModelEngine-Group/nexent/blob/develop/doc/docs/en/opensource-memorial-wall.md\",\n  \"auth.inviteCodeHint.documentationUrl\": \"https://modelengine-group.github.io/nexent/en/contributing.html#%F0%9F%8C%9F-quick-memorial-wall-contribution\",\n  \"auth.inviteCodeHint.viewDocumentation\": \"View Documentation\",\n  \"auth.inviteCodeHint.method1.title\": \"Method 1: Open Source Community Contribution\",\n  \"auth.inviteCodeHint.method2.title\": \"Method 2: Contact Tenant Administrator\",\n  \"auth.inviteCodeHint.method2.description\": \"Contact your tenant administrator to obtain your exclusive invitation code.\",\n\n  \"toolManagement.refresh.title\": \"Refresh Tools List\",\n  \"toolManagement.refresh.button.refreshing\": \"Refreshing\",\n  \"toolManagement.refresh.button.refresh\": \"Refresh Tools\",\n  \"toolManagement.mcp.title\": \"Configure MCP Server\",\n  \"toolManagement.mcp.button\": \"MCP Config\",\n  \"toolManagement.message.updateStatusFailed\": \"Failed to update tool status, but will still try to fetch tools list\",\n  \"toolManagement.message.refreshSuccess\": \"Tools list refreshed successfully\",\n  \"toolManagement.message.refreshFailed\": \"Failed to refresh tools list\",\n  \"toolManagement.message.refreshFailedRetry\": \"Failed to refresh tools list, please try again later\",\n\n  \"mcpConfig.modal.title\": \"MCP Server Configuration\",\n  \"mcpConfig.modal.close\": \"Close\",\n  \"mcpConfig.modal.updatingTools\": \"Updating tools list...\",\n  \"mcpConfig.addServer.title\": \"Add MCP Server\",\n  \"mcpConfig.addServer.namePlaceholder\": \"Server name\",\n  \"mcpConfig.addServer.urlPlaceholder\": \"Server URL (e.g.: http://localhost:3001/mcp), currently supports sse and streamable-http protocols\",\n  \"mcpConfig.addServer.button.add\": \"Add\",\n  \"mcpConfig.addServer.button.updating\": \"Updating...\",\n  \"mcpConfig.serverList.title\": \"Configured MCP Servers\",\n  \"mcpConfig.serverList.column.name\": \"Server Name\",\n  \"mcpConfig.serverList.column.url\": \"URL\",\n  \"mcpConfig.serverList.column.status\": \"Status\",\n  \"mcpConfig.serverList.column.action\": \"Actions\",\n  \"mcpConfig.serverList.button.viewTools\": \"View Tools\",\n  \"mcpConfig.serverList.button.healthCheck\": \"Health Check\",\n  \"mcpConfig.serverList.button.edit\": \"Edit\",\n  \"mcpConfig.serverList.button.delete\": \"Delete\",\n  \"mcpConfig.serverList.button.viewToolsDisabledHint\": \"Please check MCP service availability first\",\n  \"mcpConfig.serverList.empty\": \"No servers configured\",\n  \"mcpConfig.toolsList.title\": \"Available Tools\",\n  \"mcpConfig.toolsList.column.name\": \"Tool Name\",\n  \"mcpConfig.toolsList.column.description\": \"Description\",\n  \"mcpConfig.toolsList.button.expand\": \"Expand\",\n  \"mcpConfig.toolsList.button.collapse\": \"Collapse\",\n  \"mcpConfig.toolsList.empty\": \"No tools available for this server\",\n  \"mcpConfig.toolsList.loading\": \"Loading tools list...\",\n  \"mcpConfig.message.loadServerListFailed\": \"Failed to load server list\",\n  \"mcpConfig.message.completeServerInfo\": \"Please fill in complete server name and URL\",\n  \"mcpConfig.message.invalidServerName\": \"Server name can only contain letters, numbers, underscores, and hyphens\",\n  \"mcpConfig.message.serverNameTooLong\": \"Server name cannot exceed 20 characters\",\n  \"mcpConfig.message.serverExists\": \"Server name or URL already exists\",\n  \"mcpConfig.message.nameAndUrlRequired\": \"Service name and URL cannot be empty\",\n  \"mcpConfig.message.addServerFailed\": \"Failed to add server\",\n  \"mcpConfig.message.deleteServerFailed\": \"Failed to delete server\",\n  \"mcpConfig.message.getToolsFailed\": \"Failed to get tools list\",\n  \"mcpConfig.delete.confirmTitle\": \"Confirm Delete\",\n  \"mcpConfig.delete.confirmContent\": \"Are you sure you want to delete this MCP server?\",\n  \"mcpConfig.status.updatingToolsHint\": \"Automatically updating tools list, please do not close the page or cancel operations...\",\n  \"mcpConfig.status.available\": \"Available\",\n  \"mcpConfig.status.unavailable\": \"Unavailable\",\n  \"mcpConfig.debug.autoUpdateToolsFailed\": \"Auto update tools list failed:\",\n  \"mcpConfig.message.healthCheckFailed\": \"Cannot connect to mcp server, please check if the server is running\",\n  \"mcpConfig.message.healthChecking\": \"Trying to connect to mcp server {{name}}\",\n  \"mcpConfig.message.healthCheckSuccess\": \"Mcp server connected successfully\",\n  \"mcpConfig.addContainer.title\": \"Add Containerized MCP Service\",\n  \"mcpConfig.addContainer.configHint\": \"Please enter MCP server configuration JSON (format: {\\\"mcpServers\\\": {\\\"server-name\\\": {...}}})\",\n  \"mcpConfig.addContainer.configPlaceholder\": \"Please enter MCP server configuration JSON\",\n  \"mcpConfig.addContainer.port\": \"Port\",\n  \"mcpConfig.addContainer.portPlaceholder\": \"Please enter port number\",\n  \"mcpConfig.addContainer.button.add\": \"Add\",\n  \"mcpConfig.addContainer.button.updating\": \"Adding...\",\n  \"mcpConfig.editServer.title\": \"Edit MCP Server\",\n  \"mcpConfig.editServer.serviceName\": \"Service Name\",\n  \"mcpConfig.editServer.serviceNamePlaceholder\": \"Enter service name\",\n  \"mcpConfig.editServer.mcpUrl\": \"MCP URL\",\n  \"mcpConfig.editServer.mcpUrlPlaceholder\": \"Enter MCP server URL\",\n  \"mcpConfig.editServer.authorizationToken\": \"Authorization Token\",\n  \"mcpConfig.editServer.authorizationTokenPlaceholder\": \"Server Bearer Token (Optional)\",\n  \"mcpConfig.containerList.title\": \"Running Containerized MCP Services\",\n  \"mcpConfig.containerList.column.name\": \"Name\",\n  \"mcpConfig.containerList.column.containerId\": \"Container ID\",\n  \"mcpConfig.containerList.column.port\": \"Port\",\n  \"mcpConfig.containerList.column.status\": \"Status\",\n  \"mcpConfig.containerList.column.action\": \"Actions\",\n  \"mcpConfig.containerList.button.viewLogs\": \"View Logs\",\n  \"mcpConfig.containerList.button.delete\": \"Delete\",\n  \"mcpConfig.containerList.empty\": \"No running containers\",\n  \"mcpConfig.containerLogs.title\": \"Container Logs\",\n  \"mcpConfig.containerLogs.loading\": \"Loading logs...\",\n  \"mcpConfig.containerLogs.empty\": \"No logs available\",\n  \"mcpConfig.deleteContainer.confirmTitle\": \"Confirm Delete\",\n  \"mcpConfig.deleteContainer.confirmContent\": \"Are you sure you want to delete container {{name}}?\",\n  \"mcpConfig.message.loadContainerListFailed\": \"Failed to load container list\",\n  \"mcpConfig.message.containerConfigRequired\": \"Please enter container configuration JSON\",\n  \"mcpConfig.message.validPortRequired\": \"Please enter a valid port number (1-65535)\",\n  \"mcpConfig.message.invalidJsonConfig\": \"Invalid JSON configuration, please check the format\",\n  \"mcpConfig.message.invalidConfigStructure\": \"Invalid configuration structure, must contain mcpServers object\",\n  \"mcpConfig.message.addContainerFailed\": \"Failed to add container\",\n  \"mcpConfig.message.getContainerLogsFailed\": \"Failed to get container logs\",\n  \"mcpConfig.message.deleteContainerFailed\": \"Failed to delete container\",\n  \"mcpConfig.uploadImage.title\": \"Upload MCP Image\",\n  \"mcpConfig.uploadImage.filePlaceholder\": \"Select Docker image file (.tar)\",\n  \"mcpConfig.uploadImage.fileHint\": \"Only .tar format Docker image files are supported\",\n  \"mcpConfig.uploadImage.portPlaceholder\": \"Enter port number\",\n  \"mcpConfig.uploadImage.serviceNamePlaceholder\": \"Service name (optional, auto-generated if not provided)\",\n  \"mcpConfig.uploadImage.button.selectFile\": \"Select File\",\n  \"mcpConfig.uploadImage.button.uploading\": \"Uploading...\",\n  \"mcpConfig.message.uploadImageFileRequired\": \"Please select an image file to upload\",\n  \"mcpConfig.message.uploadImageValidPortRequired\": \"Please enter a valid port number (1-65535)\",\n  \"mcpConfig.message.uploadImageInvalidFileType\": \"Only .tar format files are supported\",\n\n  \"mcpService.debug.getServerListFailed\": \"Failed to get MCP server list:\",\n  \"mcpService.debug.addServerFailed\": \"Failed to add MCP server:\",\n  \"mcpService.debug.updateServerFailed\": \"Failed to update MCP server:\",\n  \"mcpService.debug.deleteServerFailed\": \"Failed to delete MCP server:\",\n  \"mcpService.debug.getToolsFailed\": \"Failed to get MCP tools:\",\n  \"mcpService.debug.updateToolListFailed\": \"Failed to update tool list:\",\n  \"mcpService.debug.uploadImageFailed\": \"Failed to upload MCP image:\",\n  \"mcpService.message.getServerListFailed\": \"Failed to get MCP server list\",\n  \"mcpService.message.getRemoteProxyFailed\": \"Failed to get remote MCP proxy list, please try again later\",\n  \"mcpService.message.networkError\": \"Network request failed, please check your network connection and try again\",\n  \"mcpService.message.addServerSuccess\": \"MCP server added successfully\",\n  \"mcpService.message.addServerFailed\": \"Failed to add MCP server\",\n  \"mcpService.message.updateServerSuccess\": \"MCP server updated successfully\",\n  \"mcpService.message.updateServerFailed\": \"Failed to update MCP server\",\n  \"mcpService.message.updateProxyFailed\": \"Failed to update MCP proxy, please check server configuration\",\n  \"mcpService.message.nameAlreadyUsed\": \"Name already used by others, please change the MCP service name\",\n  \"mcpService.message.cannotConnectToServer\": \"Cannot connect to remote MCP server, please check if the URL is correct and the server is running\",\n  \"mcpService.message.addProxyFailed\": \"Failed to add MCP proxy, please check server configuration\",\n  \"mcpService.message.deleteServerSuccess\": \"MCP server deleted successfully\",\n  \"mcpService.message.deleteServerFailed\": \"Failed to delete MCP server\",\n  \"mcpService.message.getToolsFailed\": \"Failed to get MCP tools list\",\n  \"mcpService.message.updateToolListSuccess\": \"Tool list updated successfully\",\n  \"mcpService.message.updateToolListFailed\": \"Failed to update tool list\",\n  \"mcpService.message.addContainerSuccess\": \"Containerized MCP service added successfully\",\n  \"mcpService.message.deleteContainerSuccess\": \"Container deleted successfully\",\n  \"mcpService.message.resourceNotFound\": \"Requested resource not found\",\n  \"mcpService.message.serverInternalError\": \"Server internal error, please try again later\",\n  \"mcpService.message.serviceUnavailable\": \"Service temporarily unavailable, please try again later\",\n  \"mcpService.message.deleteProxyFailed\": \"Failed to delete MCP proxy, please check server configuration\",\n  \"mcpService.message.serverNotFound\": \"MCP server not found\",\n  \"mcpService.message.getToolsFromServerFailed\": \"Failed to get tools from remote MCP server\",\n  \"mcpService.message.updateToolListBadRequest\": \"Update tool list request parameter error\",\n  \"mcpService.message.uploadImageSuccess\": \"MCP image uploaded and started successfully\",\n  \"mcpService.message.uploadImageFailed\": \"Failed to upload MCP image\",\n  \"mcpService.message.invalidUploadParameters\": \"Invalid upload parameters\",\n  \"mcpService.message.serviceNameAlreadyExists\": \"MCP service name already exists\",\n  \"mcpService.message.fileTooLarge\": \"File size exceeds limit\",\n  \"mcpService.message.missingMcpImage\": \"Failed to add container: MCP service startup image is missing\",\n\n  \"agentConfig.tools.refreshSuccess\": \"Tool list refreshed successfully\",\n  \"agentConfig.tools.refreshFailed\": \"Failed to refresh tool list\",\n  \"agentConfig.tools.fetchFailed\": \"Failed to fetch tools list, please try again later\",\n  \"agentConfig.agents.listFetchFailed\": \"Failed to fetch Agent list, please try again later\",\n  \"agentConfig.agents.createSubAgentIdFailed\": \"Failed to fetch creating sub Agent ID, please try again later\",\n  \"agentConfig.agents.detailsFetchFailed\": \"Failed to fetch Agent details, please try again later\",\n  \"agentConfig.agents.callRelationshipFetchFailed\": \"Failed to fetch Agent call relationship, please try again later\",\n  \"agentConfig.agents.defaultDisplayName\": \"Agent\",\n  \"agentConfig.agents.copyConfirmTitle\": \"Confirm Copy\",\n  \"agentConfig.agents.copyConfirmContent\": \"Create a duplicate of {{name}}?\",\n  \"agentConfig.agents.copySuccess\": \"Agent copied successfully\",\n  \"agentConfig.agents.copyUnavailableTools\": \"Ignored {{count}} unavailable tools: {{names}}\",\n  \"agentConfig.agents.copyFailed\": \"Failed to copy Agent\",\n  \"agentConfig.tools.refreshFailedDebug\": \"Failed to refresh tools list:\",\n  \"agentConfig.agents.detailsLoadFailed\": \"Failed to load Agent details:\",\n  \"agentConfig.agents.importFailed\": \"Failed to import Agent:\",\n  \"agentConfig.agents.exportFailed\": \"Failed to export Agent:\",\n  \"agentConfig.agents.deleteFailed\": \"Failed to delete Agent:\",\n  \"agentConfig.agents.listFetchFailedDebug\": \"Failed to fetch Agent list:\",\n  \"agentConfig.modals.saveConfirm.title\": \"Unsaved changes\",\n  \"agentConfig.modals.saveConfirm.content\": \"You have unsaved changes. Would you like to save them now?\",\n  \"agentConfig.modals.saveConfirm.invalidContent\": \"Current configuration cannot be saved: {{invalidReason}}. Please modify and try again.\",\n  \"agentConfig.modals.saveConfirm.discard\": \"Discard\",\n  \"agentConfig.modals.saveConfirm.save\": \"Save\",\n\n  \"embedding.emptyWarningModal.title\": \"No Embedding Model Selected\",\n  \"embedding.emptyWarningModal.content\": \"You have not selected an Embedding model. The knowledge base configuration, memory functions and some Agent tools will be unavailable.\",\n  \"embedding.emptyWarningModal.tip\": \"Please select a suitable Embedding model in the model configuration for a complete experience.\",\n  \"embedding.emptyWarningModal.cancel\": \"Back to configuration\",\n  \"embedding.emptyWarningModal.ok_continue\": \"Got it, continue to the next step\",\n  \"embedding.unavaliableWarningModal.title\": \"Embedding Model Connectivity Not Confirmed\",\n  \"embedding.unavaliableWarningModal.content\": \"The Embedding model you selected has not been confirmed connected. Continuing may cause errors in subsequent knowledge base creation, memory generation, and Agent tool calls, affecting your normal experience.\",\n  \"embedding.unavaliableWarningModal.tip\": \"Please wait for the connectivity check to complete before continuing.\",\n  \"embedding.unavaliableWarningModal.cancel\": \"Back to configuration\",\n  \"embedding.unavaliableWarningModal.ok\": \"Got it, continue to the next step\",\n  \"embedding.modifyWarningModal.title\": \"Modify Embedding Model\",\n  \"embedding.modifyWarningModal.content\": \"You are attempting to modify an active Embedding model configuration. This will temporarily disable files previously cleaned with that model, created knowledge bases, and generated memory entries.\",\n  \"embedding.modifyWarningModal.ok_proceed\": \"Modify now\",\n  \"embedding.modifyWarningModal.cancel\": \"Cancel\",\n  \"embedding.knowledgeBaseDisabledWarningModal.title\": \"You have not configured an Embedding model. Knowledge base features are temporarily disabled.\",\n  \"embedding.knowledgeBaseAutoDeselectModal.title\": \"Automatically Remove Incompatible Knowledge Bases\",\n  \"embedding.knowledgeBaseAutoDeselectModal.content\": \"Due to your change of the Embedding configuration, the incompatible knowledge bases have been automatically removed.\",\n  \"embedding.agentToolAutoDeselectModal.title\": \"Automatically Remove Unavailable Agent Tools\",\n  \"embedding.agentToolAutoDeselectModal.content\": \"Due to not configuring the Embedding model, the unavailable Agent tools have been automatically removed.\",\n  \"embedding.agentToolDisableTooltip.content\": \"You have not configured the Embedding model. This Agent tool is disabled.\",\n  \"embedding.chatMemoryWarningModal.title\": \"Embedding Model Not Configured\",\n  \"embedding.chatMemoryWarningModal.content\": \"You have not configured the Embedding model. Memory functions are temporarily disabled.\",\n  \"embedding.chatMemoryWarningModal.tip\": \"Please contact your tenant administrator for configuration.\",\n  \"embedding.chatMemoryWarningModal.ok_config\": \"Configuration\",\n  \"embedding.chatMemoryWarningModal.ok\": \"Cancel\",\n  \"embedding.chatMemoryAutoDeselectModal.title\": \"Automatically Close Unavailable Memory Function\",\n  \"embedding.chatMemoryAutoDeselectModal.content\": \"Due to not configuring the Embedding model, the memory function has been automatically closed.\",\n  \"embedding.chatMemoryAutoDeselectModal.tip\": \"Please contact your tenant administrator for configuration.\",\n  \"embedding.chatMemoryAutoDeselectModal.ok_config\": \"Configuration\",\n  \"embedding.chatMemoryAutoDeselectModal.ok\": \"Cancel\",\n\n  \"chatStreamMain.loadingConversation\": \"Loading conversation content...\",\n  \"chatStreamMain.loadError\": \"Failed to load conversation\",\n  \"chatStreamMain.retry\": \"Retry\",\n\n  \"agentSelector.loading\": \"Loading...\",\n  \"agentSelector.selectAgent\": \"Select Agent\",\n  \"agentSelector.noAvailableAgents\": \"No available Agents\",\n  \"agentSelector.agentUnavailable\": \"This Agent is currently unavailable, please check the tool configuration information or contact the administrator\",\n  \"agentSelector.pleaseSelectAgent\": \"Please select an Agent first\",\n\n  \"memoryDeleteModal.title\": \"Confirm Clear Memory\",\n  \"memoryDeleteModal.description\": \"You are about to clear all content of <strong>{{title}}</strong>, this action cannot be undone.\",\n  \"memoryDeleteModal.prompt\": \"Are you sure you want to continue?\",\n  \"memoryDeleteModal.clear\": \"Clear\",\n\n  \"useMemory.loadConfigError\": \"Failed to load memory configuration, please check the network connection or contact the administrator\",\n  \"useMemory.memoryServiceConnectionError\": \"Memory service connection failed, please check the configuration or contact the administrator\",\n  \"useMemory.loadDataError\": \"Failed to load memory data, please try again later\",\n  \"useMemory.addMemorySuccess\": \"Memory added successfully\",\n  \"useMemory.addMemoryError\": \"Failed to add memory, please try again later\",\n  \"useMemory.clearMemorySuccess\": \"{{count}} memories under {{groupTitle}} have been cleared\",\n  \"useMemory.clearMemoryError\": \"Failed to clear memory, please try again later\",\n  \"useMemory.deleteMemorySuccess\": \"Memory deleted successfully\",\n  \"useMemory.deleteMemoryError\": \"Failed to delete memory, please try again later\",\n  \"useMemory.setMemorySwitchError\": \"Failed to set memory switch, please try again later\",\n  \"useMemory.setMemoryShareOptionError\": \"Failed to set memory share option, please try again later\",\n\n  \"memoryService.loadMemoryError\": \"Failed to load memories, please try again later\",\n  \"memoryService.tenantSharedGroupTitle\": \"Tenant shared memories\",\n  \"memoryService.agentSharedGroupTitle\": \"{{AgentName}}\",\n  \"memoryService.agentSharedPlaceholder\": \"Agent Shared Memories\",\n  \"memoryService.userPersonalGroupTitle\": \"User's personal memories\",\n  \"memoryService.userAgentGroupTitle\": \"{{AgentName}}\",\n  \"memoryService.userAgentPlaceholder\": \"User Agent Memories\",\n\n  \"memoryManageModal.title\": \"Memory Management\",\n  \"memoryManageModal.memoryAbility\": \"Memory Ability\",\n  \"memoryManageModal.agentMemoryShare\": \"Agent Memory Sharing\",\n  \"memoryManageModal.shareOption.always\": \"Always share\",\n  \"memoryManageModal.shareOption.ask\": \"Ask every time\",\n  \"memoryManageModal.shareOption.never\": \"Never share\",\n  \"memoryManageModal.addMemory\": \"Add Memory\",\n  \"memoryManageModal.clearMemory\": \"Clear Memory\",\n  \"memoryManageModal.deleteMemory\": \"Delete Memory\",\n  \"memoryManageModal.noMemory\": \"No memories\",\n  \"memoryManageModal.baseSettings\": \"Base Settings\",\n  \"memoryManageModal.tenantShareTab\": \"Tenant Shared\",\n  \"memoryManageModal.agentShareTab\": \"Agent Shared\",\n  \"memoryManageModal.userPersonalTab\": \"User Personal\",\n  \"memoryManageModal.userAgentTab\": \"User Agent\",\n  \"memoryManageModal.inputPlaceholder\": \"Please enter memory content\",\n\n  \"agentCallRelationship.title\": \"View Call Relationship\",\n  \"agentCallRelationship.loading\": \"Loading call relationship...\",\n  \"agentCallRelationship.description\": \"This flowchart shows the call relationship of {{name}} and all its tools and collaborative Agents\",\n  \"agentCallRelationship.noData\": \"No call relationship data available\",\n  \"businessLogic.config.error.loadModelsFailed\": \"Failed to load available models\",\n  \"businessLogic.config.error.noAvailableModels\": \"No available models\",\n  \"businessLogic.config.error.modelUpdateFailed\": \"Failed to update Agent model\",\n  \"businessLogic.config.error.maxStepsUpdateFailed\": \"Failed to update Agent max steps\",\n\n  \"diagram.button.showDiagram\": \"Show Diagram\",\n  \"diagram.button.showCode\": \"Show Code\",\n  \"diagram.button.zoomOut\": \"Zoom Out\",\n  \"diagram.button.zoomIn\": \"Zoom In\",\n  \"diagram.button.download\": \"Download\",\n  \"diagram.format.svg\": \"SVG\",\n  \"diagram.format.png\": \"PNG\",\n  \"diagram.format.selectFormat\": \"Select Format\",\n  \"diagram.error.renderFailed\": \"Render Failed\",\n\n  \"space.title\": \"Agent Space\",\n  \"space.description\": \"Manage and interact with your intelligent Agents\",\n  \"space.createAgent\": \"Create New Agent\",\n  \"space.noAgents\": \"No Agents yet. Create your first Agent to get started!\",\n  \"space.noDescription\": \"No description\",\n  \"space.status.available\": \"Available\",\n  \"space.status.unavailable\": \"Unavailable\",\n  \"space.deleteConfirm.title\": \"Delete Agent\",\n  \"space.deleteConfirm.content\": \"Are you sure you want to delete this Agent? This action cannot be undone.\",\n  \"space.deleteSuccess\": \"Agent deleted successfully\",\n  \"space.exportSuccess\": \"Agent exported successfully\",\n  \"space.actions.edit\": \"Edit\",\n  \"space.actions.delete\": \"Delete\",\n  \"space.actions.export\": \"Export\",\n  \"space.actions.relationship\": \"View Relationships\",\n  \"space.actions.chat\": \"Chat\",\n  \"space.detail.title\": \"Agent Details\",\n  \"space.detail.subtitle\": \"Detailed configuration and information\",\n  \"space.detail.tabs.basic\": \"Basic Info\",\n  \"space.detail.tabs.model\": \"Model Config\",\n  \"space.detail.tabs.prompts\": \"Prompts\",\n  \"space.detail.tabs.tools\": \"Tools\",\n  \"space.detail.tabs.subAgents\": \"Sub Agents\",\n  \"space.detail.id\": \"Agent ID\",\n  \"space.detail.name\": \"Name\",\n  \"space.detail.displayName\": \"Display Name\",\n  \"space.detail.description\": \"Description\",\n  \"space.detail.status\": \"Status\",\n  \"space.detail.enabled\": \"Enabled\",\n  \"space.detail.model\": \"Model Name\",\n  \"space.detail.modelId\": \"Model ID\",\n  \"space.detail.maxStep\": \"Max Steps\",\n  \"space.detail.businessLogicModel\": \"Business Logic Model Name\",\n  \"space.detail.businessLogicModelId\": \"Business Logic Model ID\",\n  \"space.detail.provideRunSummary\": \"Provide Run Summary\",\n  \"space.detail.dutyPrompt\": \"Duty Prompt\",\n  \"space.detail.constraintPrompt\": \"Constraint Prompt\",\n  \"space.detail.fewShotsPrompt\": \"Few-Shots Prompt\",\n  \"space.detail.businessDescription\": \"Business Description\",\n  \"space.detail.noTools\": \"No tools configured\",\n  \"space.detail.noSubAgents\": \"No sub Agents configured\",\n  \"space.detail.subAgentId\": \"Sub Agent ID\",\n  \"space.detail.source\": \"Source\",\n  \"space.detail.category\": \"Category\",\n  \"space.detail.usage\": \"MCP Server\",\n  \"space.detail.parameters\": \"Parameters\",\n\n  \"sidebar.homePage\": \"Home Page\",\n  \"sidebar.startChat\": \"Start Chat\",\n  \"sidebar.quickConfig\": \"Quick Setup\",\n  \"sidebar.agentSpace\": \"Agent Space\",\n  \"sidebar.agentMarket\": \"Agent Market\",\n  \"sidebar.agentDev\": \"Agent Development\",\n  \"sidebar.knowledgeBase\": \"Knowledge Base\",\n  \"sidebar.modelManagement\": \"Model Management\",\n  \"sidebar.memoryManagement\": \"Memory Management\",\n  \"sidebar.userManagement\": \"Profile\",\n  \"sidebar.tenantResources\": \"Tenant Resources\",\n  \"sidebar.mcpToolsManagement\": \"MCP Tools\",\n  \"sidebar.monitoringManagement\": \"Monitoring & Ops\",\n\n  \"tenantResources.create\": \"Create\",\n  \"tenantResources.subtitle\": \"Manage tenants, users, groups and resources\",\n  \"tenantResources.title\": \"Tenant Resource Management\",\n\n  \"tenantResources.tabs.groups\": \"Groups\",\n  \"tenantResources.tabs.knowledge\": \"Knowledge Base\",\n  \"tenantResources.tabs.models\": \"Models\",\n  \"tenantResources.tabs.agents\": \"Agents\",\n  \"tenantResources.tabs.users\": \"Users\",\n  \"tenantResources.tabs.mcp\": \"MCP\",\n  \"tenantResources.mcp.addService\": \"Add MCP service\",\n\n  \"tenantResources.groups.confirmDelete\": \"Delete group \\\"{{name}}\\\"?\",\n  \"tenantResources.groups.createGroup\": \"Create Group\",\n  \"tenantResources.groups.createNew\": \"Create New Group\",\n  \"tenantResources.groups.created\": \"Group created\",\n  \"tenantResources.groups.deleted\": \"Group deleted\",\n  \"tenantResources.groups.deleteGroup\": \"Delete Group\",\n  \"tenantResources.groups.editGroup\": \"Edit Group\",\n  \"tenantResources.groups.enterDescription\": \"Enter group description (optional)\",\n  \"tenantResources.groups.enterName\": \"Enter group name\",\n  \"tenantResources.groups.members\": \"Group Members\",\n  \"tenantResources.groups.name\": \"Group Name\",\n  \"tenantResources.groups.noGroups\": \"No groups available\",\n  \"tenantResources.groups.noMembers\": \"No members in this group\",\n  \"tenantResources.groups.required\": \"Please select a group or create a new one\",\n  \"tenantResources.groups.selectGroup\": \"Select Group\",\n  \"tenantResources.groups.selectUsers\": \"Select Users\",\n  \"tenantResources.groups.totalMembers\": \"Total Members\",\n  \"tenantResources.groups.updated\": \"Group updated\",\n  \"tenantResources.groups.loadMembersFailed\": \"Failed to load group members\",\n  \"tenantResources.groups.loadUsersFailed\": \"Failed to load group users\",\n  \"tenantResources.groups.deleteFailed\": \"Failed to delete group\",\n  \"tenantResources.groups.noTenantSelected\": \"No tenant selected\",\n  \"tenantResources.groups.updateFailed\": \"Failed to update group\",\n  \"tenantResources.groups.noDescription\": \"No Description\",\n  \"tenantResources.groups.duplicateName\": \"Group name already exists, please use a different name\",\n\n  \"tenantResources.knowledgeBases.enterDescription\": \"Optional description\",\n  \"tenantResources.knowledgeBases.enterName\": \"e.g., Company Documents\",\n\n  \"tenantResources.knowledgeBase.sources\": \"Source\",\n  \"tenantResources.knowledgeBase.permission\": \"Group Permission\",\n  \"tenantResources.knowledgeBase.permission.EDIT\": \"Editable\",\n  \"tenantResources.knowledgeBase.permission.READ_ONLY\": \"Read Only\",\n  \"tenantResources.knowledgeBase.permission.PRIVATE\": \"Private\",\n  \"tenantResources.knowledgeBase.permission.DEFAULT\": \"Read Only (Default)\",\n  \"tenantResources.knowledgeBase.groupNames\": \"User Groups\",\n  \"tenantResources.knowledgeBase.documents\": \"Documents\",\n  \"tenantResources.knowledgeBase.chunks\": \"Chunks\",\n  \"tenantResources.knowledgeBase.storeSize\": \"Storage\",\n  \"tenantResources.knowledgeBase.processSource\": \"Process Source\",\n  \"tenantResources.knowledgeBase.noGroups\": \"No user groups\",\n  \"tenantResources.knowledgeBase.edit\": \"Edit Knowledge Base\",\n  \"tenantResources.knowledgeBase.updated\": \"Knowledge base updated\",\n  \"tenantResources.knowledgeBase.deleted\": \"Knowledge base deleted\",\n  \"tenantResources.knowledgeBase.updateFailed\": \"Failed to update knowledge base\",\n  \"tenantResources.knowledgeBase.deleteFailed\": \"Failed to delete knowledge base\",\n  \"tenantResources.knowledgeBase.nameRequired\": \"Please enter knowledge base name\",\n  \"tenantResources.knowledgeBase.nameExists\": \"Knowledge base name already exists, please use a different name\",\n  \"tenantResources.knowledgeBase.nameCheckFailed\": \"Failed to check knowledge base name\",\n  \"tenantResources.knowledgeBase.checkingName\": \"Checking knowledge base name...\",\n  \"tenantResources.knowledgeBase.nameInvalid\": \"Knowledge base name is invalid\",\n  \"tenantResources.knowledgeBase.permissionRequired\": \"Please select group permission\",\n  \"tenantResources.knowledgeBase.enterName\": \"Enter knowledge base name\",\n  \"tenantResources.knowledgeBase.editSummary\": \"Edit Summary\",\n  \"tenantResources.knowledgeBase.summary\": \"Knowledge Base Summary\",\n  \"tenantResources.knowledgeBase.enterSummary\": \"Enter knowledge base summary\",\n  \"tenantResources.knowledgeBase.summaryRequired\": \"Please enter knowledge base summary\",\n  \"tenantResources.knowledgeBase.summaryUpdated\": \"Summary updated successfully\",\n  \"tenantResources.knowledgeBase.getSummaryFailed\": \"Failed to get knowledge base summary\",\n  \"tenantResources.knowledgeBase.noSummary\": \"This knowledge base has no summary\",\n  \"tenantResources.knowledgeBase.viewSummary\": \"Summary Overview\",\n  \"tenantResources.knowledgeBase.externalSourceDisabled\": \"External knowledge base - operation disabled\",\n\n  \"tenantResources.models.status.available\": \"Available\",\n  \"tenantResources.models.status.unavailable\": \"Unavailable\",\n  \"tenantResources.models.status.detecting\": \"Detecting\",\n  \"tenantResources.models.status.not_detected\": \"Not Detected\",\n\n  \"tenantResources.models.type.llm\": \"Large Language Model\",\n  \"tenantResources.models.type.embedding\": \"Embedding Model\",\n  \"tenantResources.models.type.multi_embedding\": \"Multi-Modal Embedding Model\",\n  \"tenantResources.models.type.rerank\": \"Rerank Model\",\n  \"tenantResources.models.type.stt\": \"Sound-To-Text Model\",\n  \"tenantResources.models.type.tts\": \"Text-To-Sound Model\",\n  \"tenantResources.models.type.vlm\": \"Visual Language Model\",\n\n  \"tenantResources.models.confirmDelete\": \"Delete model?\",\n  \"tenantResources.models.editModel\": \"Edit Model\",\n  \"tenantResources.models.deleteModel\": \"Delete Model\",\n  \"tenantResources.models.deleteSuccess\": \"Model deleted\",\n  \"tenantResources.models.deleteFailed\": \"Delete failed\",\n  \"tenantResources.models.checkConnectivity\": \"Check Connectivity\",\n  \"tenantResources.models.connectivitySuccess\": \"Model connectivity is healthy\",\n  \"tenantResources.models.connectivityFailed\": \"Model cannot connect\",\n  \"tenantResources.models.connectivityError\": \"Error checking connectivity\",\n  \"tenantResources.models.enterDescription\": \"Enter model description\",\n  \"tenantResources.models.enterName\": \"Enter model name\",\n\n  \"tenantResources.tenants.confirmDelete\": \"Delete tenant \\\"{{name}}\\\"?\",\n  \"tenantResources.tenants.createTenant\": \"Create Tenant\",\n  \"tenantResources.tenants.created\": \"Tenant created\",\n  \"tenantResources.tenants.deleteTenant\": \"Delete Tenant\",\n  \"tenantResources.tenants.deleted\": \"Tenant deleted\",\n  \"tenantResources.tenants.editTenant\": \"Edit Tenant\",\n  \"tenantResources.tenants.name\": \"Tenant Name\",\n  \"tenantResources.tenants.tenants\": \"Tenants\",\n  \"tenantResources.tenants.unnamed\": \"Unnamed Tenant\",\n  \"tenantResources.tenants.updated\": \"Tenant updated\",\n  \"tenantResources.tenants.nameExists\": \"Tenant name '{{name}}' already exists, please use a different name\",\n  \"tenantResources.tenants.nameRequired\": \"Please enter a tenant name\",\n  \"tenantResources.tenants.namePlaceholder\": \"Enter tenant name\",\n  \"tenantResources.tenants.generateAdminAccount\": \"Generate tenant admin account immediately\",\n  \"tenantResources.tenants.adminEmail\": \"Tenant Admin Email\",\n  \"tenantResources.tenants.adminPassword\": \"Tenant Admin Password\",\n  \"tenantResources.tenants.adminEmailRequired\": \"Please enter admin email\",\n  \"tenantResources.tenants.adminPasswordRequired\": \"Please enter tenant admin password\",\n  \"tenantResources.tenants.invalidEmailFormat\": \"Invalid email format\",\n  \"tenantResources.tenants.emailAlreadyExists\": \"Email already exists\",\n  \"tenantResources.tenants.weakPassword\": \"Password must be at least 6 characters\",\n  \"tenantResources.tenants.passwordsDoNotMatch\": \"Passwords do not match\",\n  \"tenantResources.tenants.confirmAdminPassword\": \"Confirm Password\",\n  \"tenantResources.tenants.adminAccountCreated\": \"Tenant admin account created\",\n  \"tenantResources.tenants.failedToCreateAdminAccount\": \"Failed to create tenant admin account\",\n  \"tenantResources.tenants.tenantIdRequired\": \"Tenant ID is required\",\n  \"tenantResources.tenants.deleteWarning\": \"You are about to delete tenant \\\"{{name}}\\\"\",\n  \"tenantResources.tenants.willBeDeleted\": \"Tenant \\\"{{name}}\\\" and all its user accounts will be permanently deleted\",\n  \"tenantResources.tenants.usersToBeDeleted\": \"Users to be deleted ({{count}}):\",\n  \"tenantResources.tenants.noUsers\": \"No users in this tenant\",\n  \"tenantResources.tenants.resourcesWillBeDeleted\": \"All models, knowledge bases, agents, groups, and other resources will also be deleted.\",\n  \"tenantResources.tenantDeleteFailed\": \"Failed to delete tenant\",\n\n  \"tenantResources.users.confirmDelete\": \"Delete user \\\"{{name}}\\\"?\",\n  \"tenantResources.users.deleteUser\": \"Delete User\",\n  \"tenantResources.users.deleted\": \"User deleted\",\n  \"tenantResources.users.editUser\": \"Edit User\",\n  \"tenantResources.users.enterEmail\": \"Enter email address\",\n  \"tenantResources.users.updated\": \"User updated\",\n  \"tenantResources.users.email\": \"Email\",\n  \"tenantResources.users.role\": \"Role\",\n\n  \"tenantResources.contactAdmin\": \"Please contact your administrator to assign a tenant.\",\n  \"tenantResources.noTenantAssigned\": \"No tenant assigned\",\n  \"tenantResources.selectTenantDescription\": \"Choose a tenant from the list to manage its resources.\",\n  \"tenantResources.selectTenantFirst\": \"Please select a tenant\",\n\n  \"tenantResources.invitation.tab\": \"Invitations\",\n  \"tenantResources.invitation.invitationCode\": \"Invitation Code\",\n  \"tenantResources.invitation.invitationCodePlaceholder\": \"Invitation code (optional, leave empty to auto-generate)\",\n  \"tenantResources.invitation.codeType\": \"Code Type\",\n  \"tenantResources.invitation.groupNames\": \"Group Names\",\n  \"tenantResources.invitation.capacity\": \"Capacity\",\n  \"tenantResources.invitation.remaining\": \"Remaining {{remaining}} times\",\n  \"tenantResources.invitation.usage\": \"Usage\",\n  \"tenantResources.invitation.expiryDate\": \"Expiry Date\",\n  \"tenantResources.invitation.expiryDatePlaceholder\": \"Expiry date (optional)\",\n  \"tenantResources.invitation.status\": \"Status\",\n  \"tenantResources.invitation.actions\": \"Actions\",\n  \"tenantResources.invitation.createInvitation\": \"Create Invitation\",\n  \"tenantResources.invitation.editInvitation\": \"Edit Invitation\",\n  \"tenantResources.invitation.deleteInvitation\": \"Delete Invitation\",\n  \"tenantResources.invitation.confirmDeleteInvitation\": \"Delete invitation \\\"{{code}}\\\"?\",\n  \"tenantResources.invitation.invitationCreated\": \"Invitation created\",\n  \"tenantResources.invitation.invitationUpdated\": \"Invitation updated\",\n  \"tenantResources.invitation.invitationDeleted\": \"Invitation deleted\",\n  \"tenantResources.invitation.invitationCodeRequired\": \"Please enter invitation code\",\n  \"tenantResources.invitation.codeTypeRequired\": \"Please select code type\",\n  \"tenantResources.invitation.capacityRequired\": \"Please enter capacity\",\n  \"tenantResources.invitation.capacityMin\": \"Capacity must be at least 1\",\n  \"tenantResources.invitation.invitationCodeInvalid\": \"Invitation code can only contain letters and numbers\",\n  \"tenantResources.invitation.noGroups\": \"No groups\",\n  \"tenantResources.invitation.noExpiry\": \"Permenant\",\n  \"tenantResources.invitation.alreadyExists\": \"Invitation code already exists\",\n\n  \"tenantResources.invitation.codeType.ADMIN_INVITE\": \"Admin Invite\",\n  \"tenantResources.invitation.codeType.DEV_INVITE\": \"Dev Invite\",\n  \"tenantResources.invitation.codeType.USER_INVITE\": \"User Invite\",\n\n  \"tenantResources.invitation.status.IN_USE\": \"Available\",\n  \"tenantResources.invitation.status.EXPIRE\": \"Expired\",\n  \"tenantResources.invitation.status.RUN_OUT\": \"Run Out\",\n  \"tenantResources.invitation.loadDefaultGroupFailed\": \"Unable to load default group. You can manually select groups.\",\n  \"common.noTenantSelected\": \"No tenant selected\",\n\n  \"market.comingSoon.title\": \"Agent Market Coming Soon\",\n  \"market.comingSoon.description\": \"Discover and install pre-built AI Agents from our marketplace. Save time by leveraging community-created solutions.\",\n  \"market.comingSoon.feature1\": \"Browse curated Agent templates\",\n  \"market.comingSoon.feature2\": \"One-click installation and deployment\",\n  \"market.comingSoon.feature3\": \"Share your own Agents with the community\",\n  \"market.comingSoon.badge\": \"Coming Soon\",\n\n  \"users.comingSoon.title\": \"User Management Coming Soon\",\n  \"users.comingSoon.description\": \"Comprehensive user management system for administrators. Control access, roles, and permissions across your organization.\",\n  \"users.comingSoon.feature1\": \"Manage user accounts and roles\",\n  \"users.comingSoon.feature2\": \"Configure fine-grained permissions\",\n  \"users.comingSoon.feature3\": \"Monitor user activity and usage\",\n  \"users.comingSoon.badge\": \"Coming Soon\",\n\n  \"mcpTools.comingSoon.title\": \"MCP Tools Management Coming Soon\",\n  \"mcpTools.comingSoon.description\": \"Centralized management for MCP servers and tools. Configure connectivity, synchronize tools, and monitor MCP health in one place.\",\n  \"mcpTools.comingSoon.feature1\": \"Register and manage multiple MCP servers\",\n  \"mcpTools.comingSoon.feature2\": \"Sync, inspect, and organize MCP tools\",\n  \"mcpTools.comingSoon.feature3\": \"Monitor MCP connectivity and usage status\",\n  \"mcpTools.comingSoon.badge\": \"Coming Soon\",\n\n  \"monitoring.comingSoon.title\": \"Monitoring & Operations Coming Soon\",\n  \"monitoring.comingSoon.description\": \"Unified monitoring and operations center for your Agents. Track health, performance, and incidents in real time.\",\n  \"monitoring.comingSoon.feature1\": \"Monitor Agent health, latency, and error rates\",\n  \"monitoring.comingSoon.feature2\": \"View and filter Agent logs and run history\",\n  \"monitoring.comingSoon.feature3\": \"Configure alerts and operational actions for critical events\",\n  \"monitoring.comingSoon.badge\": \"Coming Soon\",\n\n  \"market.title\": \"Agent Market\",\n  \"market.description\": \"Discover and download pre-built intelligent Agents\",\n  \"market.searchPlaceholder\": \"Search Agents by name or description...\",\n  \"market.category.all\": \"All\",\n  \"market.category.other\": \"Other\",\n  \"market.download\": \"Download\",\n  \"market.by\": \"By {{author}}\",\n  \"market.downloading\": \"Downloading Agent...\",\n  \"market.downloadSuccess\": \"Agent downloaded successfully!\",\n  \"market.downloadFailed\": \"Failed to download Agent\",\n  \"market.tools\": \"tools\",\n  \"market.featuredTitle\": \"Featured Agents\",\n  \"market.noAgents\": \"No Agents found in this category\",\n  \"market.totalAgents\": \"Total {{total}} Agents\",\n  \"market.error.loadCategories\": \"Failed to load categories\",\n  \"market.error.loadAgents\": \"Failed to load Agents\",\n\n  \"market.detail.title\": \"Agent Details\",\n  \"market.detail.subtitle\": \"Complete information and configuration\",\n  \"market.detail.tabs.basic\": \"Basic Info\",\n  \"market.detail.tabs.model\": \"Model Config\",\n  \"market.detail.tabs.prompts\": \"Prompts\",\n  \"market.detail.tabs.tools\": \"Tools\",\n  \"market.detail.tabs.mcpServers\": \"MCP Servers\",\n  \"market.detail.id\": \"Agent ID\",\n  \"market.detail.name\": \"Name\",\n  \"market.detail.displayName\": \"Display Name\",\n  \"market.detail.author\": \"Author\",\n  \"market.detail.description\": \"Description\",\n  \"market.detail.businessDescription\": \"Business Description\",\n  \"market.detail.category\": \"Category\",\n  \"market.detail.tags\": \"Tags\",\n  \"market.detail.downloadCount\": \"Download Count\",\n  \"market.detail.createdAt\": \"Created At\",\n  \"market.detail.updatedAt\": \"Updated At\",\n  \"market.detail.enabled\": \"Enabled\",\n  \"market.detail.model\": \"Model Name\",\n  \"market.detail.modelId\": \"Model ID\",\n  \"market.detail.maxSteps\": \"Max Steps\",\n  \"market.detail.recommendedModel\": \"Recommended Model\",\n  \"market.detail.businessLogicModel\": \"Business Logic Model Name\",\n  \"market.detail.businessLogicModelId\": \"Business Logic Model ID\",\n  \"market.detail.provideRunSummary\": \"Provide Run Summary\",\n  \"market.detail.dutyPrompt\": \"Duty Prompt\",\n  \"market.detail.constraintPrompt\": \"Constraint Prompt\",\n  \"market.detail.fewShotsPrompt\": \"Few-Shots Prompt\",\n  \"market.detail.noTools\": \"No tools configured\",\n  \"market.detail.noMcpServers\": \"No MCP servers configured\",\n  \"market.detail.toolName\": \"Tool Name\",\n  \"market.detail.toolDescription\": \"Description\",\n  \"market.detail.toolSource\": \"Source\",\n  \"market.detail.toolUsage\": \"MCP Server\",\n  \"market.detail.toolParams\": \"Parameters\",\n  \"market.detail.mcpServerName\": \"Server Name\",\n  \"market.detail.mcpServerUrl\": \"Server URL\",\n  \"market.detail.viewDetails\": \"View Details\",\n\n  \"market.install.title\": \"Install Agent\",\n  \"market.install.step.rename\": \"Rename Agent\",\n  \"market.install.step.model\": \"Select Model\",\n  \"market.install.step.config\": \"Configure Fields\",\n  \"market.install.step.mcp\": \"MCP Servers\",\n  \"market.install.step.optional\": \"(No Config Required)\",\n  \"market.install.button.previous\": \"Previous\",\n  \"market.install.button.next\": \"Next\",\n  \"market.install.button.install\": \"Install\",\n  \"market.install.button.installing\": \"Installing...\",\n  \"market.install.model.mode\": \"Model Selection Mode\",\n  \"market.install.model.mode.unified\": \"Unified: Use one model for all Agents\",\n  \"market.install.model.mode.individual\": \"Individual: Select model for each Agent\",\n  \"market.install.model.description\": \"Select a model from your configured models to use for this Agent.\",\n  \"market.install.model.description.unified\": \"Select a model from your configured models. This model will be applied to all Agents (main Agent and sub-Agents).\",\n  \"market.install.model.description.individual\": \"Select a model for each Agent (main Agent and sub-Agents).\",\n  \"market.install.model.label\": \"Model\",\n  \"market.install.model.placeholder\": \"Select a model\",\n  \"market.install.model.noModels\": \"No available models. Please configure models first.\",\n  \"market.install.config.description\": \"Please configure the following required fields for this Agent and its sub-Agents.\",\n  \"market.install.config.fields\": \"fields\",\n  \"market.install.config.noFields\": \"No configuration fields required.\",\n  \"market.install.config.basicFields\": \"Basic Configuration\",\n  \"market.install.agent.defaultName\": \"Agent\",\n  \"market.install.agent.main\": \"Main\",\n  \"market.install.config.placeholder\": \"Enter configuration value\",\n  \"market.install.config.placeholderWithParam\": \"Enter {{param}}\",\n  \"market.install.mcp.description\": \"This Agent requires the following MCP servers. Please install or configure them.\",\n  \"market.install.mcp.installed\": \"Installed\",\n  \"market.install.mcp.notInstalled\": \"Not Installed\",\n  \"market.install.mcp.urlPlaceholder\": \"Enter MCP server URL\",\n  \"market.install.mcp.install\": \"Install\",\n  \"market.install.step.missingTools\": \"Missing Tools\",\n  \"market.install.tools.missingDescTitle\": \"The imported Agent uses tools that do not exist in this system\",\n  \"market.install.tools.missingDescBody\": \"Please review the missing tools below and install or configure them first. If you continue without fixing them, the Agent may not work correctly or some capabilities may be unavailable.\",\n  \"market.install.tools.loading\": \"Loading tools...\",\n  \"market.install.tools.source\": \"Source\",\n  \"market.install.tools.usage\": \"Usage\",\n  \"market.install.tools.usedBy\": \"Used by\",\n  \"market.install.tools.missingHint\": \"If you continue without installing or configuring this tool, the Agent may lose part of its capabilities or fail when calling this tool.\",\n  \"market.install.error.modelRequired\": \"Please select a model\",\n  \"market.install.error.allModelsRequired\": \"Please select models for all Agents\",\n  \"market.install.error.configRequired\": \"Please fill in all required fields\",\n  \"market.install.error.mcpUrlRequired\": \"MCP URL is required\",\n  \"market.install.error.loadModels\": \"Failed to load models\",\n  \"market.install.error.checkMcp\": \"Failed to check MCP servers\",\n  \"market.install.error.mcpInstall\": \"Failed to install MCP server\",\n  \"market.install.error.invalidData\": \"Invalid Agent data\",\n  \"market.install.error.installFailed\": \"Failed to install Agent\",\n  \"market.install.error.noModelForRegeneration\": \"No available model for name regeneration\",\n  \"market.install.error.nameRegenerationFailed\": \"Failed to regenerate name\",\n  \"market.install.error.nameRequired\": \"Agent name is required\",\n  \"market.install.error.nameRequiredForAgent\": \"Agent name is required for {Agent}\",\n  \"market.install.checkingName\": \"Checking Agent name...\",\n  \"market.install.rename.warning\": \"The Agent name or display name conflicts with existing Agents. Please rename to proceed.\",\n  \"market.install.rename.conflictAgents\": \"Conflicting Agents:\",\n  \"market.install.rename.name\": \"Agent Name\",\n  \"market.install.rename.regenerateWithLLM\": \"Regenerate with LLM\",\n  \"market.install.rename.regenerate\": \"Regenerate\",\n  \"market.install.rename.model\": \"Model for Regeneration\",\n  \"market.install.rename.modelPlaceholder\": \"Select a model\",\n  \"market.install.error.modelRequiredForRegeneration\": \"Please select a model first\",\n  \"market.install.rename.nameHint\": \"Original: {name}\",\n  \"market.install.rename.displayName\": \"Display Name\",\n  \"market.install.rename.displayNameHint\": \"Original: {name}\",\n  \"market.install.rename.note\": \"Note: If you proceed without renaming, the Agent will be created but marked as unavailable due to name conflicts. You can rename it later in the Agent list.\",\n  \"market.install.rename.oneClickDesc\": \"You can edit names manually, or use one-click rename to let the LLM generate new names for all conflicted Agents.\",\n  \"market.install.rename.oneClick\": \"One-click Rename\",\n  \"market.install.rename.success\": \"All Agent name conflicts have been resolved. You can proceed to the next step.\",\n  \"market.install.rename.partialSuccess\": \"Some Agents have been successfully renamed.\",\n  \"market.install.rename.agentResolved\": \"This Agent's name conflict has been resolved.\",\n  \"market.install.success.mcpInstalled\": \"MCP server installed successfully\",\n  \"market.install.success.nameRegenerated\": \"Agent name regenerated successfully\",\n  \"market.install.success.nameRegeneratedAndResolved\": \"Agent names regenerated successfully and all conflicts resolved\",\n  \"market.install.info.notImplemented\": \"Installation will be implemented in next phase\",\n  \"market.install.success\": \"Agent installed successfully!\",\n  \"market.install.success.viewSpace.prefix\": \"Agent installed successfully. You can \",\n  \"market.install.success.viewSpace.link\": \"Go to Agent Space\",\n  \"market.install.success.viewSpace.suffix\": \" to view and use it.\",\n  \"market.install.warning.title\": \"Agent May Be Unusable\",\n  \"market.install.warning.description\": \"The following issues may make the Agent unusable:\",\n  \"market.install.warning.nameConflict\": \"Unresolved name conflicts exist\",\n  \"market.install.warning.mcpNotInstalled\": \"Uninstalled MCP services exist\",\n  \"market.install.warning.question\": \"Do you want to continue with the installation anyway?\",\n  \"market.install.warning.continue\": \"Continue Anyway\",\n  \"market.install.warning.goBack\": \"Go Back to Configure\",\n  \"market.error.fetchDetailFailed\": \"Failed to load Agent details\",\n  \"market.error.retry\": \"Retry\",\n  \"market.error.timeout.title\": \"Request Timeout\",\n  \"market.error.timeout.description\": \"The market server is taking too long to respond. Please check your network connection and try again.\",\n  \"market.error.timeout.help\": \"If the problem persists, the market server may be experiencing high traffic.\",\n  \"market.error.network.title\": \"Network Error\",\n  \"market.error.network.description\": \"Unable to connect to the market server. Please check your internet connection.\",\n  \"market.error.network.help\": \"Check your firewall settings or contact your network administrator.\",\n  \"market.error.server.title\": \"Server Error\",\n  \"market.error.server.description\": \"The market server encountered an error. Our team has been notified. Please try again later.\",\n  \"market.error.unknown.title\": \"Something Went Wrong\",\n  \"market.error.unknown.description\": \"An unexpected error occurred. Please try again.\",\n\n  \"common.loading\": \"Loading\",\n  \"common.save\": \"Save\",\n  \"common.cancel\": \"Cancel\",\n  \"common.confirm\": \"Confirm\",\n  \"common.copy\": \"Copy\",\n  \"common.copied\": \"Copied\",\n  \"common.enabled\": \"enabled\",\n  \"common.disabled\": \"disabled\",\n  \"common.yes\": \"Yes\",\n  \"common.no\": \"No\",\n  \"common.none\": \"None\",\n  \"common.required\": \"Required\",\n  \"common.refresh\": \"Refresh\",\n  \"common.unknown\": \"Unknown\",\n  \"common.unknownError\": \"Unknown error\",\n  \"common.retryLater\": \"Please try again later\",\n  \"common.cannotBeUndone\": \"This operation cannot be undone!\",\n  \"common.back\": \"Back\",\n  \"common.edit\": \"Edit\",\n  \"common.fullscreen\": \"Fullscreen\",\n  \"common.delete\": \"Delete\",\n  \"common.notice\": \"Notice\",\n  \"common.button.close\": \"Close\",\n  \"common.button.cancel\": \"Cancel\",\n  \"common.button.save\": \"Save\",\n  \"common.button.saving\": \"Saving\",\n  \"common.button.editConfig\": \"Edit Configuration\",\n  \"common.message.refreshSuccess\": \"Refresh successful\",\n  \"common.message.refreshFailed\": \"Refresh failed\",\n  \"common.toBeConfigured\": \"To Be Configured\",\n  \"common.source\": \"Source\",\n  \"common.category\": \"Category\",\n  \"common.usage\": \"Usage\",\n  \"common.output\": \"Output\",\n  \"common.name\": \"Name\",\n  \"common.type\": \"Type\",\n  \"common.status\": \"Status\",\n  \"common.description\": \"Description\",\n  \"common.actions\": \"Actions\",\n  \"common.created\": \"Created\",\n  \"common.updated\": \"Last Updated Date\",\n  \"common.email\": \"Email\",\n  \"common.toolSource.local\": \"Local Tool\",\n  \"common.toolSource.mcp\": \"MCP Tool\",\n  \"common.toolSource.langchain\": \"LangChain Tool\",\n  \"common.agentType.single\": \"Single Agent\",\n  \"common.agentType.multi\": \"Multi Agent\",\n\n  \"user.role.superAdmin\": \"Super Admin\",\n  \"user.role.admin\": \"Admin\",\n  \"user.role.dev\": \"Developer\",\n  \"user.role.user\": \"User\",\n\n  \"profile.title\": \"Profile\",\n  \"profile.subtitle\": \"Manage your account settings and preferences\",\n  \"profile.profileInfo\": \"Basic Info\",\n  \"profile.securitySettings\": \"Security\",\n  \"profile.role\": \"Role\",\n  \"profile.changePassword\": \"Change Password\",\n  \"profile.editProfile\": \"Edit Profile\",\n  \"profile.editProfileDesc\": \"Update your account information\",\n  \"profile.displayName\": \"Display Name\",\n  \"profile.enterDisplayName\": \"Enter your display name\",\n  \"profile.passwordDesc\": \"Update your password to keep your account secure\",\n  \"profile.updateSuccess\": \"Profile updated successfully\",\n  \"profile.passwordAlertTitle\": \"Note\",\n  \"profile.passwordAlertDesc\": \"Password change functionality will be available soon.\",\n  \"profile.passwordUpdateSuccess\": \"Password updated successfully\",\n  \"profile.currentPassword\": \"Current Password\",\n  \"profile.newPassword\": \"New Password\",\n  \"profile.enterNewPassword\": \"Enter new password\",\n  \"profile.deleteAccount\": \"Delete Account\",\n  \"profile.deleteAccountDesc\": \"Permanently delete your account and all associated data\",\n  \"profile.deleteWarningTitle\": \"This action cannot be undone!\",\n  \"profile.deleteWarning1\": \"Your account will be permanently deleted\",\n  \"profile.deleteWarning2\": \"All your conversations and data will be removed\",\n  \"profile.deleteWarning3\": \"This action cannot be reversed\",\n  \"profile.adminRestrictionTitle\": \"Administrator Restriction\",\n  \"profile.generateAkSk\": \"Generate API Key\",\n  \"profile.generateAkSkDesc\": \"Create or regenerate your API key\",\n  \"profile.generateAkSkConfirmTitle\": \"Generate New API Key\",\n  \"profile.generateAkSkConfirmContent\": \"You already have an API key. Generating a new one will overwrite the existing key.\",\n  \"profile.generateAkSkSuccess\": \"API key generated successfully\",\n  \"profile.generateAkSkFailed\": \"Failed to generate API key\",\n  \"profile.accessKey\": \"API Key\",\n  \"profile.copyAkSuccess\": \"API key copied to clipboard\",\n  \"profile.copyAkFailed\": \"Failed to copy API key\",\n  \"profile.deleteAkSkConfirmTitle\": \"Delete API Key\",\n  \"profile.deleteAkSkConfirmContent\": \"Are you sure you want to delete the API key?\",\n  \"profile.deleteAkSkSuccess\": \"API key deleted successfully\",\n  \"profile.deleteAkSkFailed\": \"Failed to delete API key\",\n\n  \"agent.version.manage\": \"Version Management\",\n  \"agent.version.currentVersion\": \"Current Version\",\n  \"agent.version.totalVersions\": \"Total {{count}} versions\",\n  \"agent.version.count\": \"{{count}} versions\",\n  \"agent.version.compare\": \"Compare Versions\",\n  \"agent.version.publish\": \"Publish\",\n  \"agent.version.status.disabled\": \"Disabled\",\n  \"agent.version.status.published\": \"Published\",\n  \"agent.version.status.archived\": \"Archived\",\n  \"agent.version.status.unknown\": \"Unknown\",\n  \"agent.version.releaseNote\": \"Release Note\",\n  \"agent.version.publishSuccess\": \"Version published successfully\",\n  \"agent.version.publishFailed\": \"Failed to publish version\",\n  \"agent.version.versionName\": \"Version Name\",\n  \"agent.version.versionNameRequired\": \"Please enter a version name\",\n  \"agent.version.versionNameDuplicate\": \"This version name already exists, please use a different name\",\n  \"agent.version.versionNamePlaceholder\": \"Enter version name\",\n  \"agent.version.releaseNotePlaceholder\": \"Enter release note (optional)\",\n  \"agent.version.viewDetail\": \"View Details\",\n  \"agent.version.duplicate\": \"Duplicate Version\",\n  \"agent.version.archive\": \"Archive\",\n  \"agent.version.viewConfiguration\": \"View Configuration\",\n  \"agent.version.viewPrompt\": \"View Prompt\",\n  \"agent.version.viewTools\": \"View Tools\",\n  \"agent.version.rollback\": \"Rollback\",\n  \"agent.version.updateSuccess\": \"Version updated successfully\",\n  \"agent.version.updateFailed\": \"Failed to update version\",\n  \"agent.version.noVersions\": \"No versions yet\",\n  \"agent.version.createFirstVersion\": \"Create First Version\",\n  \"agent.version.configuration\": \"Configuration\",\n  \"agent.version.agentName\": \"Agent Name\",\n  \"agent.version.modelName\": \"Model Name\",\n  \"agent.version.tools\": \"Tools\",\n  \"agent.version.relatedAgents\": \"Related Agents\",\n  \"agent.version.field.name\": \"Name\",\n  \"agent.version.field.modelName\": \"Model\",\n  \"agent.version.field.maxSteps\": \"Max Steps\",\n  \"agent.version.field.description\": \"Description\",\n  \"agent.version.field.dutyPrompt\": \"Duty Prompt\",\n  \"agent.version.field.tools\": \"Tools\",\n  \"agent.version.field.subAgents\": \"Sub Agents\",\n  \"agent.version.rollbackSuccess\": \"Version rolled back successfully\",\n  \"agent.version.rollbackError\": \"Failed to rollback version\",\n  \"agent.version.rollbackCompareTitle\": \"Rollback Version Comparison\",\n  \"agent.version.confirmRollback\": \"Confirm Rollback\",\n  \"agent.version.rollbackNote\": \"Rollback from V{{fromVersion}} to V{{toVersion}}\",\n  \"agent.version.loadingComparison\": \"Loading comparison...\",\n  \"agent.version.compareError\": \"Failed to load version comparison\",\n  \"agent.version.compareFailed\": \"Failed to compare versions\",\n  \"agent.version.rollbackWarningTitle\": \"Warning\",\n  \"agent.version.rollbackWarningContent\": \"You are about to rollback to {{versionName}}. This will create a new version based on the selected version.\",\n  \"agent.version.draftVersion\": \"Draft\",\n  \"agent.version.restore\": \"Restore\",\n  \"agent.version.deleteSuccess\": \"Version deleted successfully\",\n  \"agent.version.deleteError\": \"Failed to delete version\",\n  \"agent.version.deleteConfirmTitle\": \"Delete Version\",\n  \"agent.version.deleteConfirmContent\": \"Are you sure you want to delete version \\\"{{versionName}}\\\"?\",\n  \"agent.version.deleteWarning\": \"This action cannot be undone.\",\n  \"agent.version.statusUpdateSuccess\": \"Version status updated successfully\",\n  \"agent.version.statusUpdateError\": \"Failed to update version status\",\n  \"agent.version.needTwoVersions\": \"At least two versions are required to compare\",\n  \"agent.version.selectDifferentVersions\": \"Please select two different versions to compare\",\n  \"agent.error.agentNotFound\": \"Agent not found\",\n\n  \"errorCode.101001\": \"An unknown error occurred. Please try again later.\",\n  \"errorCode.101002\": \"Service is temporarily unavailable. Please try again later.\",\n  \"errorCode.101003\": \"Database operation failed. Please try again later.\",\n  \"errorCode.101004\": \"Operation timed out. Please try again later.\",\n  \"errorCode.101005\": \"Internal server error. Please try again later.\",\n  \"errorCode.102001\": \"You are not authorized to perform this action.\",\n  \"errorCode.102002\": \"Your session has expired. Please login again.\",\n  \"errorCode.102003\": \"Invalid token. Please login again.\",\n  \"errorCode.102004\": \"Request signature verification failed.\",\n  \"errorCode.102005\": \"Access forbidden.\",\n  \"errorCode.103001\": \"User not found.\",\n  \"errorCode.103002\": \"User registration failed. Please try again later.\",\n  \"errorCode.103003\": \"User already exists.\",\n  \"errorCode.103004\": \"Invalid username or password.\",\n  \"errorCode.104001\": \"Tenant not found.\",\n  \"errorCode.104002\": \"Tenant is disabled.\",\n  \"errorCode.104003\": \"Tenant configuration error.\",\n  \"errorCode.105001\": \"Agent not found.\",\n  \"errorCode.105002\": \"Failed to run agent. Please try again later.\",\n  \"errorCode.105003\": \"Agent name already exists.\",\n  \"errorCode.105004\": \"Agent is disabled.\",\n  \"errorCode.105005\": \"Agent version not found.\",\n  \"errorCode.106001\": \"Tool not found.\",\n  \"errorCode.106002\": \"Tool execution failed.\",\n  \"errorCode.106003\": \"Tool configuration is invalid.\",\n  \"errorCode.106101\": \"Failed to connect to MCP service.\",\n  \"errorCode.106102\": \"MCP name contains invalid characters.\",\n  \"errorCode.106103\": \"MCP container operation failed.\",\n  \"errorCode.107001\": \"Conversation not found.\",\n  \"errorCode.107002\": \"Failed to save conversation.\",\n  \"errorCode.107003\": \"Message not found.\",\n  \"errorCode.107004\": \"Failed to generate conversation title.\",\n  \"errorCode.108001\": \"Memory not found.\",\n  \"errorCode.108002\": \"Failed to prepare memory.\",\n  \"errorCode.108003\": \"Memory configuration is invalid.\",\n  \"errorCode.109001\": \"Knowledge base not found.\",\n  \"errorCode.109002\": \"Failed to sync knowledge base.\",\n  \"errorCode.109003\": \"Search index not found.\",\n  \"errorCode.109004\": \"Knowledge search failed.\",\n  \"errorCode.109005\": \"Failed to upload knowledge.\",\n  \"errorCode.110001\": \"Model not found.\",\n  \"errorCode.110002\": \"Model configuration is invalid.\",\n  \"errorCode.110003\": \"Model health check failed.\",\n  \"errorCode.110004\": \"Model provider error.\",\n  \"errorCode.111001\": \"Voice service error.\",\n  \"errorCode.111002\": \"Failed to connect to speech recognition service.\",\n  \"errorCode.111003\": \"Failed to connect to speech synthesis service.\",\n  \"errorCode.111004\": \"Voice configuration is invalid.\",\n  \"errorCode.112001\": \"File not found.\",\n  \"errorCode.112002\": \"Failed to upload file.\",\n  \"errorCode.112003\": \"File size exceeds limit.\",\n  \"errorCode.112004\": \"File type not allowed.\",\n  \"errorCode.112005\": \"File preprocessing failed.\",\n  \"errorCode.113001\": \"Invite code not found.\",\n  \"errorCode.113002\": \"Invalid invite code.\",\n  \"errorCode.113003\": \"Invite code has expired.\",\n  \"errorCode.114001\": \"Group not found.\",\n  \"errorCode.114002\": \"Group already exists.\",\n  \"errorCode.114003\": \"Member is not in the group.\",\n  \"errorCode.115001\": \"Data processing failed.\",\n  \"errorCode.115002\": \"Data parsing failed.\",\n  \"errorCode.130101\": \"Failed to connect to DataMate service.\",\n  \"errorCode.130201\": \"Dify service error.\",\n  \"errorCode.130202\": \"Dify configuration invalid. Please check URL and API key format.\",\n  \"errorCode.130203\": \"Failed to connect to Dify. Please check network connection and URL.\",\n  \"errorCode.130204\": \"Dify authentication failed. Please check your API key.\",\n  \"errorCode.130205\": \"Dify API rate limit exceeded. Please try again later.\",\n  \"errorCode.130206\": \"Failed to parse Dify response. Please check API URL.\",\n  \"errorCode.130301\": \"Failed to connect to ME service.\",\n\n  \"errorCode.000101\": \"Validation failed.\",\n  \"errorCode.000102\": \"Invalid parameter.\",\n  \"errorCode.000103\": \"Required field is missing.\",\n\n  \"errorCode.000201\": \"You are not authorized to perform this action.\",\n  \"errorCode.000202\": \"Access forbidden.\",\n  \"errorCode.000203\": \"Your session has expired. Please login again.\",\n  \"errorCode.000204\": \"Invalid token. Please login again.\",\n\n  \"errorCode.000301\": \"External service error.\",\n  \"errorCode.000302\": \"Too many requests. Please try again later.\",\n\n  \"errorCode.000401\": \"File not found.\",\n  \"errorCode.000402\": \"Failed to upload file.\",\n  \"errorCode.000403\": \"File size exceeds limit.\",\n  \"errorCode.000404\": \"File type not allowed.\",\n  \"errorCode.000405\": \"File preprocessing failed.\",\n\n  \"errorCode.000501\": \"Resource not found.\",\n  \"errorCode.000502\": \"Resource already exists.\",\n  \"errorCode.000503\": \"Resource is disabled.\",\n\n  \"errorCode.010101\": \"Conversation not found.\",\n  \"errorCode.010102\": \"Message not found.\",\n  \"errorCode.010103\": \"Failed to save conversation.\",\n  \"errorCode.010104\": \"Failed to generate conversation title.\",\n\n  \"errorCode.020101\": \"Invalid configuration.\",\n  \"errorCode.020102\": \"Sync configuration failed.\",\n\n  \"errorCode.030101\": \"Agent not found.\",\n  \"errorCode.030102\": \"Agent is disabled.\",\n  \"errorCode.030103\": \"Failed to run agent. Please try again later.\",\n  \"errorCode.030104\": \"Agent name already exists.\",\n  \"errorCode.030105\": \"Agent version not found.\",\n\n  \"errorCode.040101\": \"Agent not found in market.\",\n\n  \"errorCode.050101\": \"Invalid agent configuration.\",\n  \"errorCode.050102\": \"Invalid prompt.\",\n\n  \"errorCode.060101\": \"Knowledge base not found.\",\n  \"errorCode.060102\": \"Failed to upload knowledge.\",\n  \"errorCode.060103\": \"Failed to sync knowledge base.\",\n  \"errorCode.060104\": \"Search index not found.\",\n  \"errorCode.060105\": \"Knowledge search failed.\",\n\n  \"errorCode.070101\": \"Tool not found.\",\n  \"errorCode.070102\": \"Tool execution failed.\",\n  \"errorCode.070103\": \"Tool configuration is invalid.\",\n  \"errorCode.070201\": \"Failed to connect to MCP service.\",\n  \"errorCode.070202\": \"MCP container operation failed.\",\n  \"errorCode.070301\": \"MCP name contains invalid characters.\",\n\n  \"errorCode.080101\": \"Metric query failed.\",\n  \"errorCode.080201\": \"Invalid alert configuration.\",\n\n  \"errorCode.090101\": \"Model not found.\",\n  \"errorCode.090102\": \"Model configuration is invalid.\",\n  \"errorCode.090103\": \"Model health check failed.\",\n  \"errorCode.090104\": \"Model provider error.\",\n  \"errorCode.090105\": \"Model is unavailable. Please check the model status and try again.\",\n  \"errorCode.090201\": \"Model API key is invalid or expired. Please check your API key configuration.\",\n  \"errorCode.090202\": \"Model API key does not have permission. Please check your API key permissions.\",\n  \"errorCode.090203\": \"Rate limit exceeded. Please try again later.\",\n  \"errorCode.090204\": \"Model service is temporarily unavailable. Please try again later.\",\n  \"errorCode.090205\": \"Failed to connect to model service. Please check your network and model configuration.\",\n\n  \"errorCode.100101\": \"Memory not found.\",\n  \"errorCode.100102\": \"Failed to prepare memory.\",\n  \"errorCode.100103\": \"Memory configuration is invalid.\",\n\n  \"errorCode.110101\": \"User not found.\",\n  \"errorCode.110102\": \"Profile update failed.\",\n  \"errorCode.110103\": \"User already exists.\",\n  \"errorCode.110104\": \"Invalid username or password.\",\n\n  \"errorCode.120101\": \"Tenant not found.\",\n  \"errorCode.120102\": \"Tenant is disabled.\",\n  \"errorCode.120103\": \"Tenant configuration error.\",\n  \"errorCode.120104\": \"Tenant resource exceeded.\",\n\n  \"errorCode.140101\": \"Northbound request failed.\",\n  \"errorCode.140201\": \"Invalid northbound configuration.\",\n\n  \"errorCode.150101\": \"Data processing failed.\",\n  \"errorCode.150102\": \"Data parsing failed.\",\n\n  \"errorCode.990101\": \"An unknown error occurred. Please try again later.\",\n  \"errorCode.990102\": \"Service is temporarily unavailable. Please try again later.\",\n  \"errorCode.990103\": \"Database operation failed. Please try again later.\",\n  \"errorCode.990104\": \"Operation timed out. Please try again later.\",\n  \"errorCode.990105\": \"Internal server error. Please try again later.\",\n  \"errorCode.990201\": \"Configuration not found.\",\n  \"errorCode.990202\": \"Configuration update failed.\"\n}\n"
  },
  {
    "path": "frontend/public/locales/zh/common.json",
    "content": "{\n  \"assistant.name\": \"Nexent\",\n\n  \"mainPage.layout.title\": \"Nexent | 智能问答\",\n  \"mainPage.layout.titleTemplate\": \"%s | Nexent 智能问答\",\n  \"mainPage.layout.description\": \"创建和配置您自己的智能体\",\n\n  \"chatAttachment.imagePreview\": \"图片预览\",\n  \"chatAttachment.previewNotSupported\": \"此文件类型暂不支持在线预览\",\n  \"chatAttachment.downloadToView\": \"请下载文件后查看\",\n  \"chatAttachment.downloading\": \"正在下载...\",\n  \"chatAttachment.downloadSuccess\": \"文件下载成功\",\n  \"chatAttachment.downloadError\": \"文件下载失败，请重试\",\n  \"chatAttachment.image\": \"图片\",\n\n  \"chatInterface.newConversation\": \"新对话\",\n  \"chatInterface.componentUnmount\": \"组件卸载\",\n  \"chatInterface.errorCancelingRequest\": \"取消请求时出错\",\n  \"chatInterface.requestTimeout\": \"请求超时\",\n  \"chatInterface.requestTimeoutRetry\": \"请求超时，请重试\",\n  \"chatInterface.stopTimeoutRequestFailed\": \"停止超时请求失败:\",\n  \"chatInterface.refreshDialogListFailedButContinue\": \"刷新对话列表失败，但继续发送消息:\",\n  \"chatInterface.createDialogFailedButContinue\": \"创建新对话失败，但仍会尝试发送消息:\",\n  \"chatInterface.filePreprocessing\": \"文件预处理\",\n  \"chatInterface.parsingFile\": \"正在解析文件…\",\n  \"chatInterface.parsingFileWithProgress\": \"正在解析文件 {{index}}/{{total}}: {{filename}}\",\n  \"chatInterface.fileTruncated\": \"{{filename}} 超出字数限制，只阅读了前 {{percentage}}%\",\n  \"chatInterface.parseFileFailed\": \"解析文件 {{filename}} 失败: {{message}}\",\n  \"chatInterface.fileParsed\": \"文件 {{filename}} 已解析完成\",\n  \"chatInterface.fileParsingComplete\": \"文件解析完成\",\n  \"chatInterface.fileParsingCompleteWithTruncation\": \"文件解析完成：{{truncationInfo}}\",\n  \"chatInterface.truncationSeparator\": \"；\",\n  \"chatInterface.fileParsingFailed\": \"文件解析失败\",\n  \"chatInterface.fileSizeExceeded\": \"文件大小超出限制，请上传更小的文件\",\n  \"chatInterface.fileProcessingStopped\": \"文件解析已停止\",\n  \"chatInterface.conversationStopped\": \"对话已停止\",\n  \"chatInterface.errorProcessingRequest\": \"处理请求时发生错误\",\n  \"chatInterface.errorFetchingConversationList\": \"初始化时获取对话列表失败:\",\n  \"chatInterface.errorFetchingConversationDetailsError\": \"获取对话详情错误:\",\n  \"chatInterface.errorFetchingAttachmentUrl\": \"获取附件URL失败: {{object_name}}\",\n  \"chatInterface.renameFailed\": \"重命名失败:\",\n  \"chatInterface.deleteConversation\": \"删除对话\",\n  \"chatInterface.stopConversationToDeleteFailed\": \"停止要删除的对话失败:\",\n  \"chatInterface.deleteFailed\": \"删除失败:\",\n  \"chatInterface.imageLoadFailed\": \"图片加载失败:\",\n  \"chatInterface.userManuallyStopped\": \"用户手动停止\",\n  \"chatInterface.stopConversationFailed\": \"停止对话失败:\",\n  \"chatInterface.stopConversationFailedButFrontendStopped\": \"停止对话失败，但前端已停止显示\",\n  \"chatInterface.updateOpinionFailed\": \"更新点赞/点踩失败:\",\n  \"chatInterface.aiGeneratedContentWarning\": \"内容由 AI 生成，请仔细甄别\",\n  \"chatInterface.stopGenerating\": \"停止生成\",\n  \"chatInterface.imagePreview\": \"图片预览\",\n  \"chatInterface.close\": \"关闭\",\n  \"chatInterface.errorLabel\": \"错误:\",\n  \"chatInterface.failedToUpdateConversationList\": \"更新对话列表失败:\",\n\n  \"chatPreprocess.step\": \"步骤\",\n  \"chatPreprocess.thinking\": \"思考中\",\n  \"chatPreprocess.preprocessResponseEmpty\": \"预处理响应为空\",\n  \"chatPreprocess.parsingPreprocessDataFailed\": \"解析预处理数据失败:\",\n  \"chatPreprocess.filePreprocessingFailed\": \"文件预处理失败:\",\n  \"chatPreprocess.fileUploadFailed\": \"文件上传失败:\",\n  \"chatPreprocess.parsingFile\": \"正在解析文件...\",\n\n  \"extractMsg.unknownTitle\": \"未知标题\",\n  \"extractMsg.noContentDescription\": \"无内容描述\",\n  \"extractMsg.cannotParseSearchPlaceholder\": \"无法解析搜索占位符内容:\",\n\n  \"chatHeader.doubleClickToEdit\": \"双击修改标题\",\n\n  \"chatInput.image\": \"图片\",\n  \"chatInput.cannotReadFileContent\": \"无法读取文件内容\",\n  \"chatInput.loadingFileContent\": \"正在加载文件内容...\",\n  \"chatInput.cannotPreviewFileType\": \"无法预览此文件类型\",\n  \"chatInput.thisFileTypeCannotBePreviewed\": \"此文件类型无法预览\",\n  \"chatInput.fileCountExceedsLimit\": \"文件数量超过限制，最多只能上传{{count}}个文件\",\n  \"chatInput.fileSizeExceedsLimit\": \"文件\\\"{{name}}\\\"超过大小限制，单个文件最大10MB\",\n  \"chatInput.unsupportedFileType\": \"文件\\\"{{name}}\\\"不是支持的文件类型，支持的格式包括：图片、文档（PDF、Word、Excel、PPT）、纯文本、CSV/TSV、Markdown\",\n  \"chatInput.unsupportedFileTypeSimple\": \"不支持的文件类型\",\n  \"chatInput.dragAndDropFilesHere\": \"文件拖动到此处即可上传\",\n  \"chatInput.supportedFileFormats\": \"支持的格式包括：图片、文档（PDF、Word、Excel、PPT）、纯文本、CSV/TSV、Markdown\",\n  \"chatInput.sendMessageTo\": \"给 {{appName}} 发送消息\",\n  \"chatInput.stopRecording\": \"停止录音\",\n  \"chatInput.startRecording\": \"开始录音\",\n  \"chatInput.uploadFiles\": \"上传文件\",\n  \"chatInput.stopGenerating\": \"停止生成\",\n  \"chatInput.recording\": \"正在录音...\",\n  \"chatInput.recordingError\": \"录音出错，请重试\",\n  \"chatInput.helloIm\": \"你好，我是{{appName}}\",\n  \"chatInput.introMessage\": \"我可以帮你写代码、读文件、查资料各种创意内容，请把你的任务交给我吧~\",\n  \"chatInput.close\": \"关闭\",\n  \"chatInput.send\": \"发送\",\n  \"chatInput.remove\": \"移除\",\n  \"chatInput.wsConnectionEstablished\": \"WebSocket 连接已建立\",\n\n  \"chatLeftSidebar.rename\": \"重命名\",\n  \"chatLeftSidebar.delete\": \"删除\",\n  \"chatLeftSidebar.newConversation\": \"新对话\",\n  \"chatLeftSidebar.today\": \"今天\",\n  \"chatLeftSidebar.last7Days\": \"最近7天\",\n  \"chatLeftSidebar.older\": \"更早\",\n  \"chatLeftSidebar.recentConversations\": \"最近对话\",\n  \"chatLeftSidebar.noHistory\": \"无历史对话\",\n  \"chatLeftSidebar.expandSidebar\": \"展开边栏\",\n  \"chatLeftSidebar.settings\": \"设置\",\n  \"chatLeftSidebar.settingsMenu.modelConfig\": \"应用与模型配置\",\n  \"chatLeftSidebar.settingsMenu.knowledgeConfig\": \"知识库配置\",\n  \"chatLeftSidebar.settingsMenu.agentConfig\": \"智能体配置\",\n  \"chatLeftSidebar.confirmDeletionTitle\": \"删除对话\",\n  \"chatLeftSidebar.confirmDeletionDescription\": \"确定要删除这个对话吗？此操作无法撤销。\",\n  \"chatLeftSidebar.renameErrorEmpty\": \"标题不能为空\",\n  \"chatLeftSidebar.renameErrorTooLong\": \"标题长度不能超过 {{max}} 个字符\",\n  \"chatLeftSidebar.renameErrorSubmitFailed\": \"重命名失败，请稍后重试\",\n  \"chatLeftSidebar.cancel\": \"取消\",\n  \"chatLeftSidebar.collapseSidebar\": \"收起侧边栏\",\n  \"chatLeftSidebar.running\": \"正在运行中\",\n  \"chatLeftSidebar.completed\": \"已完成\",\n  \"chatLeftSidebar.user\": \"用户\",\n\n  \"page.contactUs\": \"联系我们\",\n  \"page.aboutUs\": \"关于我们\",\n  \"page.title\": \"Nexent 智能体\",\n  \"page.subtitle\": \"一个提示词，无限种可能\",\n  \"page.description\": \"无需编排，无需复杂拖拉拽，将数据、模型和工具整合到一个智能中心中。\",\n  \"page.startChat\": \"开始问答\",\n  \"page.quickConfig\": \"快速配置\",\n  \"page.agentSpace\": \"智能体空间\",\n  \"page.dataProtection\": \"免费试用环境不做数据留存，数据可能随更新丢失，请注意\",\n  \"page.coreFeatures\": \"核心功能\",\n  \"page.features\": [\n    {\n      \"title\": \"多智能体自主业务决策\",\n      \"description\": \"利用ReAct框架实现多智能体间的自主思考、任务规划、决策和执行，自动化MCP生态下的模型、数据与工具集。\"\n    },\n    {\n      \"title\": \"智能体自动生成\",\n      \"description\": \"基于自然语言智能生成智能体核心提示词，在4-5个工具内运行准确度>70%，可追加优化。\"\n    },\n    {\n      \"title\": \"高效数据准备\",\n      \"description\": \"企业级别的 Scalable 处理、切片、向量化数据框架，支撑构建基于不同文件格式、数据来源的高质量多模态知识库。\"\n    },\n    {\n      \"title\": \"多源知识获取与溯源\",\n      \"description\": \"多种知识库、互联网等数据来源连接的MCP工具，基于业务决策数据获取方式，同时具备完整的多模态知识溯源与解释能力。\"\n    },\n    {\n      \"title\": \"MCP工具支持\",\n      \"description\": \"支持MCP工具接入与调用，基于生态提供的各类工具，快速帮助实现更复杂的业务逻辑。\"\n    },\n    {\n      \"title\": \"多模态对话\",\n      \"description\": \"基于多模态知识库、数据处理能力，提供多模态的智能体服务，支持文本、图像、音频等多种数据类型的输入输出。\"\n    }\n  ],\n  \"page.copyright\": \"Nexent © {{year}}\",\n  \"page.termsOfUse\": \"使用条款\",\n  \"page.loginPrompt.benefitsTitle\": \"✨ 登录后您将获得：\",\n  \"page.loginPrompt.benefits\": [\n    \"专属的对话历史记录\",\n    \"个性化的智能推荐\",\n    \"企业知识库完整访问权限\",\n    \"更精准的问答体验\"\n  ],\n  \"page.loginPrompt.title\": \"欢迎使用 Nexent\",\n  \"page.loginPrompt.register\": \"注册账户\",\n  \"page.loginPrompt.login\": \"登录账户\",\n  \"page.loginPrompt.intro\": \"请登录您的账户以访问此页面。\",\n  \"page.loginPrompt.githubSupport\": \"在 GitHub 上支持我们\",\n  \"page.loginPrompt.noAccount\": \"还没有账号？点击\\\"注册\\\"按钮创建您的专属账号~\",\n  \"page.adminPrompt.close\": \"好的\",\n  \"page.adminPrompt.unlockHeader\": \"🌟 成为管理员，解锁更多能力！\",\n  \"page.adminPrompt.unlockIntro\": \"成为管理员后，您可以：\",\n  \"page.adminPrompt.permissionsTitle\": \"✨ 管理员专属权限：\",\n  \"page.adminPrompt.permissions\": [\n    \"配置和管理自己的模型\",\n    \"制作和发布专属智能体\",\n    \"集成和配置自有工具\"\n  ],\n  \"page.adminPrompt.title\": \"暂无权限\",\n  \"page.adminPrompt.intro\": \"您暂时没有权限访问该页面，请联系管理员为您提升权限。\",\n  \"page.adminPrompt.githubSupport\": \"在 GitHub 上支持我们\",\n  \"page.adminPrompt.becomeAdmin\": \"💡 想成为管理员？请访问<1>官网联系页</1>，申请管理员账号。\",\n\n  \"chatStreamMessage.appIconAlt\": \"应用图标\",\n  \"chatStreamMessage.finalAnswer\": \"最终回答\",\n  \"chatStreamMessage.sources\": \"{{count}}条来源\",\n  \"chatStreamMessage.images\": \"{{count}}张图片\",\n  \"chatStreamMessage.copied\": \"已复制\",\n  \"chatStreamMessage.copyContent\": \"复制内容\",\n  \"chatStreamMessage.cancelLike\": \"取消点赞\",\n  \"chatStreamMessage.like\": \"点赞\",\n  \"chatStreamMessage.cancelDislike\": \"取消点踩\",\n  \"chatStreamMessage.dislike\": \"点踩\",\n  \"chatStreamMessage.tts\": \"语音播报\",\n  \"chatStreamMessage.imageTextFallbackTitle\": \"媒体（文本视图）\",\n  \"chatStreamMessage.videoNotSupported\": \"抱歉，您的浏览器不支持嵌入式视频。\",\n  \"chatStreamMessage.imageLinkUnavailable\": \"此图片链接不可用\",\n  \"chatStreamMessage.videoLinkUnavailable\": \"此视频链接不可用\",\n  \"chatStreamMessage.imageLoadFailed\": \"图片加载失败\",\n  \"chatStreamMessage.videoLoadFailed\": \"视频加载失败\",\n\n  \"chatRightPanel.imageLoadFailed\": \"图片加载失败\",\n  \"chatRightPanel.imageProxyError\": \"请求图片代理服务失败:\",\n  \"chatRightPanel.unknownTitle\": \"未知标题\",\n  \"chatRightPanel.noContentDescription\": \"无内容描述\",\n  \"chatRightPanel.processSearchResultsError\": \"处理搜索结果时出错:\",\n  \"chatRightPanel.parallelLoadImagesError\": \"并行加载图片时出错:\",\n  \"chatRightPanel.collapse\": \"收起\",\n  \"chatRightPanel.expand\": \"展开\",\n  \"chatRightPanel.imageAlt\": \"图片 {{index}}\",\n  \"chatRightPanel.viewLargerImageAlt\": \"查看大图\",\n  \"chatRightPanel.searchTitle\": \"网页 · 知识库搜索\",\n  \"chatRightPanel.closeSidebarTitle\": \"关闭侧边栏\",\n  \"chatRightPanel.noSearchResults\": \"暂无搜索结果\",\n  \"chatRightPanel.collapseImages\": \"收起图片\",\n  \"chatRightPanel.expandImages\": \"查看全部 {{count}} 张图片\",\n  \"chatRightPanel.noImages\": \"暂无图片\",\n  \"chatRightPanel.noAssociatedImages\": \"这条消息没有关联的图片内容\",\n  \"chatRightPanel.sources\": \"来源\",\n  \"chatRightPanel.images\": \"图片\",\n  \"chatRightPanel.downloading\": \"正在下载...\",\n  \"chatRightPanel.fileDownloadSuccess\": \"文件下载已开始\",\n  \"chatRightPanel.fileDownloadError\": \"文件下载失败，请重试\",\n  \"chatRightPanel.source.datamate\": \"来源: Datamate\",\n  \"chatRightPanel.source.nexent\": \"来源: Nexent\",\n\n  \"chatStreamFinalMessage.copyFailed\": \"复制失败:\",\n  \"chatStreamFinalMessage.getMessageIdFailed\": \"获取消息ID失败:\",\n  \"chatStreamFinalMessage.generatingAudio\": \"正在生成语音...\",\n  \"chatStreamFinalMessage.stopPlaying\": \"停止播放\",\n  \"chatStreamFinalMessage.audioGenerationFailed\": \"语音生成失败\",\n\n  \"chatStreamHandler.codePrefix\": \"代码：\",\n  \"chatStreamHandler.callingTool\": \"工具调用中...\",\n  \"chatStreamHandler.parseSearchContentFailed\": \"解析搜索内容失败:\",\n  \"chatStreamHandler.processImageDataFailed\": \"处理图片数据失败:\",\n  \"chatStreamHandler.processRemainingDataFailed\": \"处理剩余数据失败:\",\n  \"chatStreamHandler.thinking\": \"正在思考中...\",\n  \"chatStreamHandler.connectingMcpServer\": \"正在连接MCP服务器...\",\n  \"chatStreamHandler.memoryRetrieving\": \"正在回忆中...\",\n  \"chatStreamHandler.memoryRetrieved\": \"回忆已完成\",\n  \"chatStreamHandler.memoryFailed\": \"回忆失败。已跳过...\",\n  \"chatStreamHandler.generateTitleFailed\": \"生成标题失败:\",\n  \"chatStreamHandler.streamResponseError\": \"处理流式响应时出错:\",\n  \"chatStreamHandler.userInterrupted\": \"对话主动中止。\",\n\n  \"taskWindow.unknownSource\": \"未知来源\",\n  \"taskWindow.knowledgeFile\": \"知识库文件\",\n  \"taskWindow.urlParseError\": \"URL解析错误:\",\n  \"taskWindow.visit\": \"访问 {{domain}}\",\n  \"taskWindow.readingSearchResults\": \"阅读检索结果\",\n  \"taskWindow.downloadFile\": \"下载 {{name}}\",\n  \"taskWindow.downloadSuccess\": \"文件已开始下载\",\n  \"taskWindow.downloadError\": \"文件下载失败，请稍后重试\",\n  \"taskWindow.parseCardError\": \"解析卡片内容失败:\",\n  \"taskWindow.cannotParseCard\": \"无法解析卡片内容\",\n  \"taskWindow.parseSearchError\": \"解析搜索结果失败:\",\n  \"taskWindow.cannotParseSearch\": \"无法解析搜索结果: {{message}}\",\n  \"taskWindow.noSearchResults\": \"未找到搜索结果\",\n  \"taskWindow.unknownMessageType\": \"未知消息类型: {{type}}\",\n  \"taskWindow.noTaskMessages\": \"暂无任务消息\",\n  \"taskWindow.taskDetails\": \"任务详情\",\n\n  \"setup.header.button.back\": \"返回首页\",\n  \"setup.header.title\": \"快速配置\",\n  \"setup.header.description\": \"智能生成每一种助手，精准解决每一个问题\",\n  \"setup.model.description\": \"模型配置\",\n  \"setup.knowledge.description\": \"知识库配置\",\n  \"setup.agent.description\": \"智能体配置\",\n  \"setup.navigation.button.previous\": \"上一步\",\n  \"setup.navigation.button.next\": \"下一步\",\n  \"setup.navigation.button.complete\": \"完成配置\",\n  \"setup.navigation.button.saving\": \"保存中...\",\n  \"setup.config.appSettings\": \"应用设置\",\n  \"setup.config.modelSettings\": \"模型设置\",\n  \"setup.page.error.checkConnection\": \"检查连接状态失败：\",\n  \"setup.page.error.saveConfig\": \"保存配置失败，请重试\",\n  \"setup.page.error.missingModelConfig\": \"未找到模型配置，请联系管理员先完成模型配置\",\n  \"setup.page.error.systemError\": \"系统异常，请稍后重试\",\n  \"setup.page.error.selectMainModel\": \"请选择模型\",\n  \"setup.page.error.highlightField.llmMain\": \"llm.main\",\n  \"setup.page.error.adminOnly\": \"只有管理员可以访问模型配置页面\",\n\n  \"agent.contextMenu.export\": \"导出\",\n  \"agent.contextMenu.delete\": \"删除\",\n  \"agent.contextMenu.copy\": \"复制\",\n  \"agent.copySuffix\": \"副本\",\n  \"agent.info.title\": \"智能体信息\",\n  \"agent.info.name.error.empty\": \"名称不能为空\",\n  \"agent.info.name.error.format\": \"名称只能包含字母、数字和下划线，且必须以字母或下划线开头\",\n  \"agent.info.name.error.length\": \"名称长度不能超过50个字符\",\n  \"agent.name\": \"智能体变量名\",\n  \"agent.namePlaceholder\": \"请输入智能体变量名\",\n  \"agent.displayName\": \"智能体名称\",\n  \"agent.displayNamePlaceholder\": \"请输入智能体名称\",\n  \"agent.author\": \"作者\",\n  \"agent.authorPlaceholder\": \"请输入作者名称\",\n  \"agent.author.hint\": \"默认：{{email}}\",\n  \"agent.description\": \"智能体描述\",\n  \"agent.userGroup\": \"用户组\",\n  \"agent.userGroup.empty\": \"暂无用户组\",\n  \"agent.llmModel\": \"大语言模型\",\n  \"agent.version\": \"版本\",\n  \"agent.version.current\": \"当前版本\",\n  \"agent.version.select\": \"选择版本\",\n  \"agent.version.noPublished\": \"无已发布版本\",\n  \"agent.status.unpublished\": \"未发布\",\n  \"agent.unavailableReasons.duplicate_name\": \"智能体变量名重复\",\n  \"agent.unavailableReasons.duplicate_display_name\": \"智能体名称重复\",\n  \"agent.unavailableReasons.tool_unavailable\": \"工具不可用\",\n  \"agent.unavailableReasons.model_unavailable\": \"模型不可用\",\n  \"agent.descriptionPlaceholder\": \"请输入智能体描述\",\n  \"agent.detailContent.title\": \"智能体详细内容\",\n  \"agent.generating.title\": \"正在生成智能体\",\n  \"agent.generating.subtitle\": \"请稍候，系统正在为您生成智能智能体...\",\n  \"agent.error.loadTools\": \"加载工具列表失败:\",\n  \"agent.error.loadToolsRetry\": \"获取工具列表失败，请刷新页面重试\",\n  \"agent.error.fetchAgentList\": \"获取智能体列表失败\",\n  \"agent.error.fetchAgentListRetry\": \"获取智能体列表失败，请稍后重试\",\n  \"agent.debug.title\": \"智能体调试\",\n  \"agent.noEditPermission\": \"无智能体编辑权限\",\n  \"mcpConfig.permission.noEdit\": \"无MCP编辑权限\",\n  \"agent.action.create\": \"创建智能体\",\n  \"agent.action.modify\": \"编辑智能体信息\",\n  \"agent.action.view\": \"查看智能体信息\",\n  \"agent.action.viewCallRelationship\": \"查看调用关系\",\n  \"agent.error.nameExists\": \"智能体变量名{{name}}已存在，请修改\",\n  \"agent.error.displayNameExists\": \"智能体名称{{displayName}}已存在，请修改\",\n  \"agent.error.modelUnavailable\": \"大语言模型{{modelName}}不可用，请修改\",\n  \"agent.debug.placeholder\": \"输入测试问题...\",\n  \"agent.debug.stop\": \"停止\",\n  \"agent.debug.clear\": \"清空\",\n  \"agent.debug.send\": \"发送\",\n  \"agent.debug.userStop\": \"用户手动停止调试\",\n  \"agent.debug.cancelError\": \"取消请求时出错\",\n  \"agent.debug.stopError\": \"停止调试模式智能体运行失败，但前端已停止:\",\n  \"agent.debug.stopped\": \"调试已停止\",\n  \"agent.debug.nullResponse\": \"Response body is null\",\n  \"agent.debug.streamError\": \"处理流式响应时出错:\",\n  \"agent.debug.processError\": \"处理请求时发生错误\",\n\n  \"guide.steps.describeBusinessLogic.title\": \"描述业务逻辑\",\n\n  \"systemPrompt.button.save\": \"保存\",\n  \"systemPrompt.button.debug\": \"调试\",\n  \"systemPrompt.button.expand\": \"放大查看\",\n  \"systemPrompt.message.save.success\": \"提示词已保存\",\n  \"systemPrompt.message.save.error\": \"保存提示词失败，请重试\",\n  \"systemPrompt.card.duty.title\": \"智能体角色\",\n  \"systemPrompt.card.constraint.title\": \"使用要求\",\n  \"systemPrompt.card.fewShots.title\": \"示例\",\n  \"systemPrompt.expandEdit.backgroundInfo\": \"背景信息\",\n  \"systemPrompt.expandEdit.close\": \"保存并关闭\",\n  \"systemPrompt.nonEditing.title\": \"请先选择一个智能体\",\n  \"systemPrompt.nonEditing.subtitle\": \"请从左侧选择一个智能体进行编辑，或创建新的智能体\",\n\n  \"collaborativeAgent.title\": \"选择协作的智能体\",\n  \"collaborativeAgent.button.add\": \"添加协作智能体\",\n  \"collaborativeAgent.select.noOptions\": \"暂无可选择的智能体\",\n  \"collaborativeAgent.message.selectAgentFirst\": \"请先选择一个智能体\",\n  \"collaborativeAgent.message.addSuccess\": \"协作智能体添加成功\",\n  \"collaborativeAgent.message.addFailed\": \"协作智能体添加失败\",\n  \"collaborativeAgent.message.removeSuccess\": \"协作智能体移除成功\",\n  \"collaborativeAgent.message.removeFailed\": \"协作智能体移除失败\",\n  \"collaborativeAgent.message.noParentAgent\": \"没有可用的父智能体\",\n  \"collaborativeAgent.message.notInEditMode\": \"请先进入编辑模式\",\n  \"collaborativeAgent.message.generatingInProgress\": \"智能体生成中，请稍候\",\n  \"collaborativeAgent.message.circularDependency\": \"检测到智能体存在循环调用\",\n\n  \"subAgentPool.button.exitCreate\": \"退出创建\",\n  \"subAgentPool.management\": \"智能体管理\",\n  \"subAgentPool.loading\": \"加载中...\",\n  \"subAgentPool.button.create\": \"创建智能体\",\n  \"subAgentPool.button.import\": \"导入智能体\",\n  \"subAgentPool.button.importing\": \"导入中...\",\n  \"subAgentPool.message.unavailable\": \"该智能体不可用\",\n  \"subAgentPool.tooltip.unavailableAgent\": \"智能体不可用\",\n  \"subAgentPool.tooltip.hasUnavailableTools\": \"该智能体因包含不可用工具而被禁用，请修改工具配置后使用\",\n  \"subAgentPool.section.agentList\": \"智能体列表\",\n  \"subAgentPool.description.exitCreate\": \"退出创建模式\",\n  \"subAgentPool.description.createAgent\": \"创建自定义智能体\",\n  \"subAgentPool.description.importing\": \"正在导入中...\",\n  \"subAgentPool.description.importAgent\": \"从文件导入智能体\",\n  \"subAgentPool.tooltip.createNewAgent\": \"点击创建新智能体\",\n  \"subAgentPool.tooltip.exitCreateMode\": \"点击退出创建模式\",\n  \"subAgentPool.tooltip.exitEditMode\": \"点击退出编辑模式\",\n  \"subAgentPool.tooltip.editAgent\": \"点击编辑\",\n  \"subAgentPool.tooltip.duplicateNameDisabled\": \"该智能体因与其他智能体同名而被禁用，请修改名称后使用\",\n  \"subAgentPool.message.duplicateNameDisabled\": \"该智能体因与其他智能体同名而被禁用，请修改名称后使用\",\n\n  \"toolConfig.title.paramConfig\": \"配置参数\",\n  \"toolConfig.message.loadError\": \"加载工具配置失败\",\n  \"toolConfig.message.loadErrorUseDefault\": \"加载工具配置失败，使用默认配置\",\n  \"toolConfig.message.saveSuccess\": \"工具配置保存成功\",\n  \"toolConfig.message.saveError\": \"保存失败\",\n  \"toolConfig.message.saveFailed\": \"保存失败，请稍后重试\",\n  \"toolConfig.message.requiredFields\": \"以下必填字段未填写: \",\n  \"toolConfig.message.loadLastConfig\": \"加载上一次配置\",\n  \"toolConfig.message.loadLastConfigSuccess\": \"上一次配置加载成功\",\n  \"toolConfig.message.loadLastConfigFailed\": \"加载上一次配置失败\",\n  \"toolConfig.message.loadLastConfigNotFound\": \"未找到上一次配置\",\n  \"toolConfig.input.model.placeholder\": \"请选择模型\",\n  \"toolConfig.input.string.placeholder\": \"请输入{{name}}\",\n  \"toolConfig.input.array.placeholder\": \"请输入JSON数组\",\n  \"toolConfig.placeholder.selectKb\": \"请选择知识库\",\n  \"toolConfig.validation.selectKb\": \"请选择至少一个知识库\",\n  \"toolConfig.validation.required\": \"此字段为必填项\",\n  \"toolConfig.input.object.placeholder\": \"请输入JSON对象\",\n  \"toolConfig.toolTest.toolInfo\": \"工具信息\",\n  \"toolConfig.toolTest.configParams\": \"配置参数\",\n  \"toolConfig.toolTest.inputParams\": \"输入参数\",\n  \"toolConfig.toolTest.executing\": \"测试中...\",\n  \"toolConfig.toolTest.execute\": \"执行测试\",\n  \"toolConfig.toolTest.result\": \"测试结果\",\n  \"toolConfig.button.testTool\": \"工具测试\",\n  \"toolConfig.button.closeTest\": \"关闭工具测试\",\n  \"toolConfig.toolTest.manualInput\": \"手动输入\",\n  \"toolConfig.toolTest.parseMode\": \"解析模式\",\n  \"toolConfig.button.selectKnowledgeBases\": \"选择知识库\",\n  \"toolConfig.input.knowledgeBaseSelector.placeholder\": \"点击选择{{name}}\",\n  \"toolConfig.knowledgeBaseSelector.title.default\": \"选择知识库\",\n  \"toolConfig.knowledgeBaseSelector.title.local\": \"选择 Nexent 知识库\",\n  \"toolConfig.knowledgeBaseSelector.title.dify\": \"选择 Dify 知识库\",\n  \"toolConfig.knowledgeBaseSelector.title.datamate\": \"选择 DataMate 知识库\",\n  \"toolPool.title\": \"选择智能体的工具\",\n  \"toolPool.loading\": \"加载中...\",\n  \"toolPool.loadingTools\": \"加载工具中...\",\n  \"toolPool.tooltip.disabledTool\": \"该工具已禁用，请点击取消启用\",\n  \"toolPool.tooltip.unavailableTool\": \"工具不可用\",\n  \"toolPool.tooltip.viewOnlyMode\": \"查看模式，无法选择工具\",\n  \"toolPool.message.unavailable\": \"该工具不可用\",\n  \"toolPool.message.viewOnlyMode\": \"当前为查看模式，无法选择工具\",\n  \"toolPool.error.unavailableSelected\": \"智能体存在不可用工具，请修改\",\n  \"toolPool.tag.mcp\": \"MCP工具\",\n  \"toolPool.tag.local\": \"本地工具\",\n  \"toolPool.tag.langchain\": \"LangChain工具\",\n  \"toolPool.group.local\": \"本地工具\",\n  \"toolPool.group.langchain\": \"LangChain\",\n  \"toolPool.group.other\": \"其他工具\",\n  \"toolPool.category.other\": \"其他\",\n  \"toolPool.noTools\": \"暂无可用工具\",\n  \"toolPool.error.requiredFields\": \"以下必填字段未填写: {{fields}}\",\n  \"toolPool.vlmRequired\": \"需要配置视觉语言模型\",\n  \"toolPool.vlmDisabledTooltip\": \"请联系管理员配置可用的视觉语言模型\",\n  \"toolPool.embeddingDisabledTooltip\": \"请联系管理员配置可用的向量模型\",\n  \"toolPool.tooltip.functionGuide\": \"1. 本地知识库检索功能，请启用knowledge_base_search工具；\\n2. 文本文件解析功能，请启用analyze_text_file工具；\\n3. 图片解析功能，请启用analyze_image工具。\",\n  \"toolPool.duplicateToolName.title\": \"检测到重复工具名\",\n  \"toolPool.duplicateToolName.content\": \"您已勾选相同工具名的工具（{{toolName}}），重复选择会导致智能体无法正常运行。是否继续勾选？\",\n  \"toolPool.duplicateToolName.confirm\": \"继续\",\n  \"toolPool.duplicateToolName.cancel\": \"取消\",\n\n  \"tool.message.unavailable\": \"该工具当前不可用，无法选择\",\n  \"tool.error.noMainAgentId\": \"主代理ID未设置，无法更新工具状态\",\n  \"tool.error.configFetchFailed\": \"获取工具配置失败\",\n  \"tool.message.statusUpdated\": \"工具{{name}}{{status}}\",\n  \"tool.error.updateFailed\": \"更新工具状态失败\",\n  \"tool.error.updateRetry\": \"更新工具状态失败，请稍后重试\",\n\n  \"knowledgeBase.error.checkName\": \"检查知识库名称失败:\",\n  \"knowledgeBase.status.uploadingAndCreating\": \"正在上传并创建知识库...\",\n  \"knowledgeBase.status.notReady\": \"知识库未就绪\",\n  \"knowledgeBase.hint.selectFirst\": \"请先选择一个知识库以上传文件\",\n  \"knowledgeBase.hint.changeName\": \"请修改知识库名称后继续\",\n  \"knowledgeBase.upload.dragHint\": \"点击或拖拽文件到此区域上传，为知识库添加知识\",\n  \"knowledgeBase.upload.supportedFormats\": \"支持 PDF、Word、Excel、PPT、纯文本、CSV、TSV、Markdown 文件格式\",\n  \"knowledgeBase.upload.completed\": \"上传完成\",\n  \"knowledgeBase.upload.fileCount\": \"{{count}} 个文件\",\n  \"knowledgeBase.upload.status.uploading\": \"上传中\",\n  \"knowledgeBase.upload.status.completed\": \"已完成\",\n  \"knowledgeBase.upload.status.failed\": \"上传失败\",\n  \"knowledgeBase.upload.invalidFileType\": \"只支持 PDF、Word、PPT、Excel、MD、TXT、CSV 文件格式！\",\n  \"knowledgeBase.check.nameError\": \"检查知识库名称失败\",\n  \"knowledgeBase.fetch.error\": \"获取知识库信息失败\",\n  \"knowledgeBase.fetch.retryError\": \"获取知识库信息失败，请稍后重试\",\n  \"knowledgeBase.error.fetchList\": \"获取知识库列表失败：\",\n  \"knowledgeBase.error.fetchListRetry\": \"加载知识库列表失败，请稍后重试\",\n  \"knowledgeBase.error.create\": \"创建知识库失败：\",\n  \"knowledgeBase.error.createRetry\": \"创建知识库失败，请稍后重试\",\n  \"knowledgeBase.error.delete\": \"删除知识库失败：\",\n  \"knowledgeBase.error.deleteRetry\": \"删除知识库失败，请稍后重试\",\n  \"knowledgeBase.error.loadSelected\": \"加载已选知识库失败：\",\n  \"knowledgeBase.error.loadSelectedRetry\": \"加载已选知识库失败，请稍后重试\",\n  \"knowledgeBase.error.saveSelected\": \"保存已选知识库失败\",\n  \"knowledgeBase.error.saveSelectedRetry\": \"保存已选知识库失败，请稍后重试\",\n  \"knowledgeBase.error.invalidUrlProtocol\": \"URL 必须以 http:// 或 https:// 开头\",\n  \"knowledgeBase.error.invalidUrlFormat\": \"URL 格式无效，请检查输入\",\n  \"knowledgeBase.error.connectionFailed\": \"无法连接到 DataMate 服务器\",\n  \"knowledgeBase.error.syncFailed\": \"同步 DataMate 知识库失败\",\n  \"knowledgeBase.message.testingConnection\": \"正在测试连接...\",\n  \"knowledgeBase.message.testingSync\": \"正在同步知识库...\",\n  \"knowledgeBase.list.title\": \"知识库列表\",\n  \"knowledgeBase.button.create\": \"创建\",\n  \"knowledgeBase.button.sync\": \"同步\",\n  \"knowledgeBase.button.syncDataMate\": \"同步DataMate知识库\",\n  \"knowledgeBase.selected.prefix\": \"已选择\",\n  \"knowledgeBase.selected.suffix\": \"个知识库用于知识检索\",\n  \"knowledgeBase.selected.count\": \"已选择 {{count}} 个\",\n  \"knowledgeBase.button.clearSelection\": \"清除选择\",\n  \"knowledgeBase.button.selectAll\": \"全选\",\n  \"knowledgeBase.button.removeKb\": \"移除知识库 {{name}}\",\n  \"knowledgeBase.tag.documents\": \"{{count}} 文档\",\n  \"knowledgeBase.tag.chunks\": \"{{count}} 分块\",\n  \"knowledgeBase.tag.source\": \"来自{{source}}\",\n  \"knowledgeBase.tag.createdAt\": \"创建于{{date}}\",\n  \"knowledgeBase.tag.model\": \"{{model}}模型\",\n  \"knowledgeBase.tag.modelMismatch\": \"模型不匹配\",\n  \"knowledgeBase.upload.modelMismatch.description\": \"当前知识库的模型与配置模型不匹配，无法上传文件，请切换知识库或调整模型配置\",\n  \"knowledgeBase.list.empty\": \"暂无知识库，请先创建知识库\",\n  \"knowledgeBase.list.noResults\": \"没有找到匹配的知识库\",\n  \"knowledgeBase.search.placeholder\": \"搜索知识库名称\",\n  \"knowledgeBase.filter.source.placeholder\": \"筛选来源\",\n  \"knowledgeBase.filter.model.placeholder\": \"筛选模型\",\n  \"knowledgeBase.source.nexent\": \"Nexent\",\n  \"knowledgeBase.source.datamate\": \"DataMate\",\n  \"knowledgeBase.source.dify\": \"Dify\",\n  \"knowledgeBase.datamate.editDisabled\": \"Nexent无法上传文件至DataMate知识库，请前往DataMate页面进行操作。\",\n  \"knowledgeBase.filter.allSources\": \"全部来源\",\n  \"knowledgeBase.filter.allModels\": \"全部模型\",\n  \"knowledgeBase.filter.source\": \"来源\",\n  \"knowledgeBase.filter.model\": \"模型\",\n  \"knowledgeBase.modal.deleteConfirm.title\": \"确认删除知识库\",\n  \"knowledgeBase.modal.deleteConfirm.content\": \"确定要删除这个知识库吗？删除后无法恢复。\",\n  \"knowledgeBase.modal.deleteDataMate.title\": \"无法删除DataMate知识库\",\n  \"knowledgeBase.modal.deleteDataMate.content\": \"Nexent无法删除DataMate知识库，请前往DataMate页面进行操作。\",\n  \"knowledgeBase.message.deleteSuccess\": \"删除知识库成功\",\n  \"knowledgeBase.message.deleteError\": \"删除知识库失败\",\n  \"knowledgeBase.message.syncSuccess\": \"同步知识库成功\",\n  \"knowledgeBase.message.syncError\": \"同步知识库失败\",\n  \"knowledgeBase.message.syncDataMateSuccess\": \"同步DataMate知识库成功\",\n  \"knowledgeBase.message.syncDataMateError\": \"同步DataMate知识库失败，请检查URL的正确性\",\n  \"knowledgeBase.button.dataMateConfig\": \"DataMate配置\",\n  \"knowledgeBase.message.dataMateConfigSaved\": \"DataMate配置已保存\",\n  \"knowledgeBase.message.dataMateConfigError\": \"DataMate配置保存失败\",\n  \"knowledgeBase.modal.dataMateConfig.title\": \"DataMate配置\",\n  \"knowledgeBase.modal.dataMateConfig.urlLabel\": \"DataMate URL\",\n  \"knowledgeBase.modal.dataMateConfig.urlPlaceholder\": \"请输入DataMate服务器地址\",\n  \"knowledgeBase.modal.dataMateConfig.description\": \"配置DataMate服务器地址，用于同步外部知识库数据。\",\n  \"knowledgeBase.message.nameRequired\": \"请输入知识库名称\",\n  \"knowledgeBase.message.nameExists\": \"知识库 {{name}} 已存在，请更换名称\",\n  \"knowledgeBase.error.nameExistsInOtherTenant\": \"知识库 {{name}} 已被其他租户使用，请更换名称\",\n  \"knowledgeBase.message.createError\": \"知识库创建失败\",\n  \"knowledgeBase.message.createUploadError\": \"知识库创建或上传失败\",\n  \"knowledgeBase.message.selectFirst\": \"请先选择一个知识库\",\n  \"knowledgeBase.description.default\": \"通过文档上传创建的知识库\",\n  \"knowledgeBase.empty.title\": \"未选择知识库\",\n  \"knowledgeBase.empty.description\": \"请在左侧列表选择一个知识库，或创建新的知识库\",\n  \"knowledgeBase.error.createUpload\": \"知识库创建或上传失败：\",\n  \"knowledgeBase.error.getSummary\": \"获取知识库总结失败：\",\n  \"knowledgeBase.summary.notGenerated\": \"未生成知识库总结，请更换模型配置重试\",\n  \"knowledgeBase.name.new\": \"新知识库\",\n  \"knowledgeBase.message.getDocumentsFailed\": \"获取文档列表失败\",\n  \"knowledgeBase.create.permission.groupPlaceholder\": \"无所属用户组\",\n  \"knowledgeBase.ingroup.permission.EDIT\": \"同组可编辑\",\n  \"knowledgeBase.ingroup.permission.READ_ONLY\": \"同组只读\",\n  \"knowledgeBase.ingroup.permission.PRIVATE\": \"私有\",\n  \"knowledgeBase.ingroup.permission.DEFAULT\": \"同组只读 (默认)\",\n\n  \"document.error.fetch\": \"获取文档失败\",\n  \"document.error.load\": \"加载文档失败\",\n  \"document.error.upload\": \"上传文档失败\",\n  \"document.error.delete\": \"删除文档失败\",\n  \"document.error.retry\": \"请稍后重试\",\n  \"document.message.deleteSuccess\": \"文档删除成功\",\n  \"document.modelMismatch.withModels\": \"当前模型{{currentModel}}与知识库模型{{knowledgeBaseModel}}不匹配，无法使用\",\n  \"document.modelMismatch.general\": \"当前模型不匹配，无法使用\",\n  \"document.summary.selectKnowledgeBase\": \"请先选择一个知识库\",\n  \"document.summary.completed\": \"知识库总结完成\",\n  \"document.summary.error\": \"获取知识库总结失败\",\n  \"document.summary.emptyContent\": \"总结内容不能为空\",\n  \"document.summary.saveSuccess\": \"总结保存成功\",\n  \"document.summary.saveError\": \"保存总结失败\",\n  \"document.summary.saveFailed\": \"保存失败\",\n  \"document.summary.title\": \"知识库总结\",\n  \"document.summary.modelLabel\": \"大语言模型\",\n  \"document.summary.modelPlaceholder\": \"选择模型\",\n  \"document.status.creating\": \"创建中...\",\n  \"document.status.loadingList\": \"正在加载文档列表...\",\n  \"document.status.waitingForTask\": \"正在等待任务创建...\",\n  \"document.input.knowledgeBaseName\": \"请输入知识库名称\",\n  \"document.button.details\": \"详细内容\",\n  \"document.button.overview\": \"概览\",\n  \"document.button.detail\": \"分片详情\",\n  \"document.button.autoSummary\": \"自动总结\",\n  \"document.title.createNew\": \"创建新知识库\",\n  \"document.hint.uploadToCreate\": \"请选择文件上传以完成知识库创建\",\n  \"document.hint.noDocuments\": \"该知识库中暂无文档，请上传文档\",\n  \"document.table.header.name\": \"文档名称\",\n  \"document.table.header.status\": \"状态\",\n  \"document.table.header.size\": \"大小\",\n  \"document.table.header.date\": \"上传日期\",\n  \"document.table.header.action\": \"操作\",\n  \"document.status.waitForProcessing\": \"等待解析\",\n  \"document.status.waitForForwarding\": \"等待入库\",\n  \"document.status.processing\": \"解析中\",\n  \"document.status.forwarding\": \"入库中\",\n  \"document.status.completed\": \"已就绪\",\n  \"document.status.processFailed\": \"解析失败\",\n  \"document.status.forwardFailed\": \"入库失败\",\n  \"document.progress.chunksProcessed\": \"已处理 {{processed}}/{{total}} 个切片 ({{percent}}%)\",\n  \"document.error.reason\": \"错误原因\",\n  \"document.error.suggestion\": \"建议\",\n  \"document.error.noReason\": \"暂无错误原因\",\n  \"document.error.code.ray_init_failed.message\": \"Ray集群初始化失败\",\n  \"document.error.code.ray_init_failed.suggestion\": \"请升级到最新版本并尝试重新部署\",\n  \"document.error.code.no_valid_chunks.message\": \"数据处理内核无法从文档中提取有效文本\",\n  \"document.error.code.no_valid_chunks.suggestion\": \"请确保文档内容非纯图像\",\n  \"document.error.code.vector_service_busy.message\": \"向量化模型服务繁忙，无法获取文本向量\",\n  \"document.error.code.vector_service_busy.suggestion\": \"请更换模型服务提供商，或稍后重试\",\n  \"document.error.code.es_bulk_failed.message\": \"向量录入数据库错误\",\n  \"document.error.code.es_bulk_failed.suggestion\": \"请确保Elasticsearch路径拥有完整写入权限，且存储空间与内存充足\",\n  \"document.error.code.es_dim_mismatch.message\": \"向量化模型维度与Elasticsearch维度不匹配\",\n  \"document.error.code.es_dim_mismatch.suggestion\": \"建议删除所有向量化模型后再添加模型重试\",\n  \"document.error.code.embedding_chunks_exceed_limit.message\": \"当前切片数量超过向量化模型并行度\",\n  \"document.error.code.embedding_chunks_exceed_limit.suggestion\": \"请增加切片大小以减少切片数量后再试\",\n  \"document.error.code.unsupported_file_format.message\": \"检测到当前文档中存在不支持的换行符\",\n  \"document.error.code.unsupported_file_format.suggestion\": \"建议统一转换为LF换行符再试\",\n  \"document.modal.deleteConfirm.title\": \"确认删除文档\",\n  \"document.modal.deleteConfirm.content\": \"确定要删除这个文档吗？删除后无法恢复。\",\n  \"document.message.noFiles\": \"请先选择文件\",\n  \"document.message.uploadError\": \"文件上传失败\",\n  \"document.chunk.noChunks\": \"暂无分片数据\",\n  \"document.chunk.characterCount\": \"{{count}} 字符\",\n  \"document.chunk.error.loadFailed\": \"加载分片失败\",\n  \"document.chunk.error.downloadFailed\": \"下载分片失败\",\n  \"document.chunk.error.searchFailed\": \"分片检索失败\",\n  \"document.chunk.tooltip.edit\": \"编辑分片\",\n  \"document.chunk.tooltip.download\": \"下载分片\",\n  \"document.chunk.tooltip.delete\": \"删除分片\",\n  \"document.chunk.tooltip.create\": \"新建分片\",\n  \"document.chunk.success.create\": \"分片创建成功\",\n  \"document.chunk.success.update\": \"分片更新成功\",\n  \"document.chunk.success.delete\": \"分片删除成功\",\n  \"document.chunk.error.createFailed\": \"分片创建失败\",\n  \"document.chunk.error.updateFailed\": \"分片更新失败\",\n  \"document.chunk.error.deleteFailed\": \"分片删除失败\",\n  \"document.chunk.error.missingChunkId\": \"缺少分片 ID\",\n  \"document.chunk.tooltip.disabledDueToModelMismatch\": \"当前配置的向量模型 ({{currentModel}}) 与创建知识库所用模型 ({{knowledgeBaseModel}}) 不一致，无法创建分片或召回检索。\",\n  \"document.chunk.form.createTitle\": \"新建分片\",\n  \"document.chunk.form.editTitle\": \"编辑分片\",\n  \"document.chunk.form.documentName\": \"所属文档\",\n  \"document.chunk.form.filename\": \"文件名\",\n  \"document.chunk.form.content\": \"内容\",\n  \"document.chunk.form.filenamePlaceholder\": \"可选文件名\",\n  \"document.chunk.form.contentPlaceholder\": \"请输入分片内容\",\n  \"document.chunk.form.requiredContent\": \"请输入分片内容\",\n  \"document.chunk.confirm.deleteTitle\": \"确认删除分片？\",\n  \"document.chunk.confirm.deleteContent\": \"该操作不可恢复。\",\n  \"document.chunk.search.empty\": \"请输入检索内容\",\n  \"document.chunk.search.noDocument\": \"未找到匹配的文档\",\n  \"document.chunk.search.noChunk\": \"当前文档没有匹配的分片\",\n  \"document.chunk.search.noActiveDocument\": \"请先选择一个文档\",\n  \"document.chunk.search.placeholder\": \"召回检索...\",\n  \"document.chunk.search.document\": \"文档\",\n  \"document.chunk.search.chunk\": \"分片\",\n  \"document.chunk.pagination.range\": \"{{start}}-{{end}} / 共 {{total}}\",\n  \"document.chunk.pagination.jumpTo\": \"跳转到\",\n  \"document.chunk.pagination.page\": \"页\",\n\n  \"model.dialog.title\": \"添加模型\",\n  \"model.dialog.label.type\": \"模型类型\",\n  \"model.dialog.label.multimodal\": \"多模态\",\n  \"model.dialog.label.name\": \"模型名称\",\n  \"model.dialog.label.displayName\": \"展示名称\",\n  \"model.dialog.label.url\": \"模型URL\",\n  \"model.dialog.label.apiKey\": \"API Key\",\n  \"model.dialog.label.maxTokens\": \"最大Token数\",\n  \"model.dialog.label.batchImport\": \"批量添加模型\",\n  \"model.dialog.label.provider\": \"模型提供商\",\n  \"model.dialog.label.currentlySupported\": \"当前已支持：\",\n  \"model.dialog.placeholder.name\": \"请输入请求体中的模型名称\",\n  \"model.dialog.placeholder.displayName\": \"请输入模型的展示名称\",\n  \"model.dialog.placeholder.url\": \"请输入模型URL, 例如: https://api.openai.com/v1\",\n  \"model.dialog.placeholder.modelEngineUrl\": \"请输入 ModelEngine 主机地址，例如：https://120.253.225.102:50001\",\n  \"model.dialog.placeholder.url.embedding\": \"请输入模型URL, 例如: https://api.openai.com/v1/embeddings\",\n  \"model.dialog.placeholder.apiKey\": \"请输入API Key\",\n  \"model.dialog.placeholder.maxTokens\": \"请输入最大Token数\",\n  \"model.dialog.settings.title\": \"模型设置\",\n  \"model.dialog.settings.label.maxTokens\": \"最大Token数\",\n  \"model.dialog.modelList.tooltip.settings\": \"模型设置\",\n  \"model.dialog.hint.multimodalEnabled\": \"多模态向量模型可处理图像和文本\",\n  \"model.dialog.hint.multimodalDisabled\": \"文本向量模型仅处理文本\",\n  \"model.dialog.hint.batchImportEnabled\": \"批量添加模式已启用，可通过API Key一次性导入多个模型\",\n  \"model.dialog.hint.batchImportDisabled\": \"批量添加模式已关闭，仅添加单个模型\",\n  \"model.provider.silicon\": \"硅基流动\",\n  \"model.provider.dashscope\": \"阿里灵积\",\n  \"model.provider.tokenpony\": \"小马算力\",\n  \"model.provider.modelengine\": \"ModelEngine\",\n  \"model.dialog.modelList.title\": \"显示模型\",\n  \"model.dialog.modelList.searchPlaceholder\": \"按名称搜索模型\",\n  \"model.dialog.modelList.noResults\": \"没有匹配的模型\",\n  \"model.dialog.connectivity.title\": \"连通性验证\",\n  \"model.dialog.connectivity.status.checking\": \"检测中\",\n  \"model.dialog.connectivity.status.available\": \"可用\",\n  \"model.dialog.connectivity.status.unavailable\": \"不可用\",\n  \"model.dialog.connectivity.status.not_detected\": \"未检测\",\n  \"model.dialog.button.modelList\": \"获取模型\",\n  \"model.dialog.button.verify\": \"点击验证\",\n  \"model.dialog.button.verifying\": \"验证中...\",\n  \"model.dialog.button.add\": \"添加\",\n  \"model.dialog.help.title\": \"模型配置说明\",\n  \"model.dialog.help.content\": \"请填写模型的基本信息，API Key、展示名称为可选项，其他字段为必填项。建议先验证连通性后再添加模型。详细配置方法请参考[模型配置](https://modelengine-group.github.io/nexent/zh/user-guide/model-management.html)。\",\n  \"model.dialog.help.content.batchImport\": \"请填写提供商的基本信息，API Key和提供商名称为必填项，其他字段为可选项。详细配置方法请参考[模型配置](https://modelengine-group.github.io/nexent/zh/user-guide/model-management.html)。\",\n  \"model.dialog.warning.incompleteForm\": \"请先填写完整的模型配置信息\",\n  \"model.dialog.status.verifying\": \"正在验证模型连通性...\",\n  \"model.dialog.error.connectivityRequired\": \"请先验证模型连通性且确保连接成功后再添加模型\",\n  \"model.dialog.error.connectivityFailed\": \"模型连通性验证失败：{{error}}\",\n  \"model.dialog.error.addFailed\": \"添加模型失败：{{error}}\",\n  \"model.dialog.error.nameAlreadyInUse\": \"名称 '{{name}}' 已被使用，请选择其他显示名称\",\n  \"model.dialog.error.modelNotFound\": \"模型未找到：{{name}}\",\n  \"model.dialog.error.failedToConnect\": \"无法连接到模型 '{{modelName}}'（{{url}}）。请检查URL、API密钥和网络连接。\",\n  \"model.dialog.error.unsupportedModelType\": \"不支持的模型类型：{{type}}\",\n  \"model.dialog.error.invalidConfiguration\": \"配置无效：{{error}}\",\n  \"model.dialog.error.addFailedLog\": \"添加模型失败\",\n  \"model.dialog.error.noModelsFetched\": \"未获取到任何模型，请检查 ModelEngine 上是否部署了模型\",\n  \"model.dialog.error.apiConnectionFailed\": \"无法连接到 ModelEngine，请检查 URL 和 API Key 是否正确\",\n  \"model.dialog.error.provider\": {\n    \"title\": \"模型提供商连接失败\",\n    \"noModels\": \"未获取到任何模型，请检查 {{provider}} 上是否部署了模型\",\n    \"connectionFailed\": \"无法连接到 {{provider}}，请检查 URL 和 API Key 是否正确\",\n    \"authenticationFailed\": \"{{provider}} 身份验证失败，请检查 API Key 是否正确\",\n    \"accessDenied\": \"访问被拒绝，请检查您的权限配置\",\n    \"endpointNotFound\": \"API 端点未找到，请检查 URL 配置是否正确\",\n    \"serverError\": \"{{provider}} 服务器错误 (HTTP {{code}})，请稍后重试\",\n    \"timeout\": \"连接超时，请检查网络连接\",\n    \"sslError\": \"SSL 证书错误，请检查 URL 和 SSL 配置\"\n  },\n  \"model.dialog.message.noModels\": \"请先获取模型\",\n  \"model.dialog.editTitle\": \"编辑模型\",\n  \"model.dialog.editSuccess\": \"模型更新成功\",\n  \"model.dialog.error.editFailed\": \"更新模型失败\",\n  \"model.dialog.error.nameConflict\": \"名称 '{{name}}' 已被使用，请选择其他显示名称\",\n  \"model.dialog.error.serverError\": \"服务器内部错误，请稍后重试\",\n  \"model.type.llm\": \"大语言模型\",\n  \"model.type.embedding\": \"向量模型\",\n  \"model.type.vlm\": \"视觉语言模型\",\n  \"model.type.rerank\": \"重排模型\",\n  \"model.type.stt\": \"语音识别模型\",\n  \"model.type.tts\": \"语音合成模型\",\n  \"model.type.multiEmbedding\": \"多模态向量模型\",\n  \"model.type.unknown\": \"未知模型\",\n  \"model.dialog.edit.title\": \"修改自定义模型\",\n  \"model.dialog.edit.selectType\": \"请选择要修改的模型类型：\",\n  \"model.dialog.delete.customModelCount\": \"{{count}} 个自定义模型\",\n  \"model.dialog.delete.unsupportedType\": \" (暂不支持删除)\",\n  \"model.dialog.delete.unsupportedTypeHint\": \"暂不支持删除此类型模型\",\n  \"model.dialog.delete.deleteHint\": \"删除模型\",\n  \"model.dialog.delete.noModels\": \"没有可删除的自定义模型\",\n  \"model.dialog.delete.noModelsOfType\": \"没有可删除的{{type}}\",\n  \"model.dialog.delete.warning\": \"删除模型操作不可恢复。如果删除当前正在使用的模型，相关配置将被重置。\",\n  \"model.dialog.edit.warning\": \"批量修改模型前，需要确认相关API Key的正确性。如果修改当前正在使用的模型，相关配置将被重置。\",\n  \"model.message.deleteSuccess\": \"删除模型成功: {{name}}\",\n  \"model.message.deleteFailed\": \"删除模型失败: {{name}}\",\n  \"model.error.deleteError\": \"删除模型失败:\",\n  \"model.source.custom\": \"自定义\",\n  \"model.source.modelEngine\": \"ModelEngine\",\n  \"model.source.unknown\": \"未知来源\",\n  \"model.source.openai\": \"OpenAI\",\n  \"model.source.silicon\": \"硅基流动\",\n  \"model.source.dashscope\": \"阿里灵积\",\n  \"model.source.tokenpony\": \"小马算力\",\n  \"model.warning.updateNotFound\": \"未找到要更新的模型: {{displayName}}, 类型: {{type}}\",\n  \"model.type.main\": \"大语言模型\",\n  \"model.select.placeholder\": \"选择模型\",\n  \"model.group.modelEngine\": \"ModelEngine模型\",\n  \"model.group.silicon\": \"硅基流动模型\",\n  \"model.group.dashscope\": \"阿里灵积模型\",\n  \"model.group.tokenpony\": \"小马算力模型\",\n  \"model.group.custom\": \"自定义模型\",\n  \"model.status.tooltip\": \"点击可验证连通性\",\n  \"model.dialog.success.updateSuccess\": \"更新成功\",\n  \"model.dialog.embeddingConfig.title\": \"修改向量模型: {{modelName}}\",\n\n  \"appConfig.appName.label\": \"应用名称\",\n  \"appConfig.appName.placeholder\": \"请输入您的应用名称\",\n  \"appConfig.description.label\": \"详情描述\",\n  \"appConfig.description.placeholder\": \"请输入应用详情描述\",\n  \"appConfig.upload.imageOnly\": \"请上传图片文件\",\n  \"appConfig.upload.sizeLimit\": \"图片大小不能超过2MB\",\n  \"appConfig.icon.modalTitle\": \"定制图标\",\n  \"appConfig.icon.preset\": \"预设图标\",\n  \"appConfig.icon.custom\": \"自定义图片\",\n  \"appConfig.icon.selectIcon\": \"选择图标\",\n  \"appConfig.icon.selectColor\": \"选择颜色\",\n  \"appConfig.icon.presetColors\": \"预设颜色\",\n  \"appConfig.icon.preview\": \"图标预览\",\n  \"appConfig.icon.previewAlt\": \"预览\",\n  \"appConfig.icon.customAlt\": \"自定义头像\",\n  \"appConfig.icon.removeImage\": \"移除图片\",\n  \"appConfig.icon.uploadHint\": \"点击上传图片\",\n  \"appConfig.icon.uploadTip\": \"支持 JPG, PNG 格式，大小不超过 2MB\",\n  \"appConfig.icon.saveError\": \"图标保存失败，请重试\",\n  \"appConfig.icon.saveErrorLog\": \"保存图标设置失败:\",\n\n  \"modelConfig.category.llm\": \"大语言模型\",\n  \"modelConfig.category.embedding\": \"向量模型\",\n  \"modelConfig.category.reranker\": \"重排模型\",\n  \"modelConfig.category.multimodal\": \"多模态模型\",\n  \"modelConfig.category.voice\": \"语音模型\",\n  \"modelConfig.option.mainModel\": \"大语言模型\",\n  \"modelConfig.option.embeddingModel\": \"向量模型\",\n  \"modelConfig.option.multiEmbeddingModel\": \"多模态向量模型\",\n  \"modelConfig.option.rerankerModel\": \"重排模型\",\n  \"modelConfig.option.vlmModel\": \"视觉语言模型\",\n  \"modelConfig.option.ttsModel\": \"语音合成模型\",\n  \"modelConfig.option.sttModel\": \"语音识别模型\",\n  \"modelConfig.error.loadList\": \"加载模型列表失败:\",\n  \"modelConfig.error.loadListFailed\": \"加载模型列表失败\",\n  \"modelConfig.error.syncFailed\": \"同步模型失败\",\n  \"modelConfig.error.verifyCustomModel\": \"校验自定义模型 {{model}} 失败:\",\n  \"modelConfig.message.syncSuccess\": \"模型同步成功\",\n  \"modelConfig.message.addSuccess\": \"添加模型成功\",\n  \"modelConfig.button.syncModelEngine\": \"同步ModelEngine模型\",\n  \"modelConfig.button.addCustomModel\": \"添加模型\",\n  \"modelConfig.button.editCustomModel\": \"修改或删除模型\",\n  \"modelConfig.button.checkConnectivity\": \"检查模型连通性\",\n  \"modelConfig.button.sync\": \"同步\",\n  \"modelConfig.button.add\": \"添加\",\n  \"modelConfig.button.edit\": \"修改\",\n  \"modelConfig.button.check\": \"检查\",\n  \"modelConfig.slider.chunkingSize\": \"文档切片大小\",\n  \"modelConfig.slider.expectedChunkSize\": \"期望切片大小\",\n  \"modelConfig.slider.maximumChunkSize\": \"最大切片大小\",\n  \"modelConfig.input.chunkingBatchSize\": \"单次请求切片量\",\n\n  \"businessLogic.title\": \"描述智能体应该如何工作\",\n  \"businessLogic.placeholder\": \"请描述您的业务场景和需求...\",\n  \"businessLogic.config.title\": \"配置智能体能力\",\n  \"businessLogic.config.model\": \"大语言模型\",\n  \"businessLogic.config.modelPlaceholder\": \"请选择模型\",\n  \"businessLogic.config.maxSteps\": \"智能体运行最大步骤数\",\n  \"businessLogic.config.button.generatePrompt\": \"生成智能体\",\n  \"businessLogic.config.button.generating\": \"智能生成提示词中...\",\n  \"businessLogic.config.modal.deleteTitle\": \"确认删除\",\n  \"businessLogic.config.modal.deleteContent\": \"确定要删除智能体 {{name}} 吗？此操作不可恢复。\",\n  \"businessLogic.config.modal.button.cancel\": \"取消\",\n  \"businessLogic.config.modal.button.confirm\": \"确认删除\",\n  \"businessLogic.config.message.agentCreated\": \"智能体 {{name}} {{action}}成功\",\n  \"businessLogic.config.message.completeAgentInfo\": \"请完善智能体信息\",\n  \"businessLogic.config.message.generatePromptFirst\": \"请先生成系统提示词\",\n  \"businessLogic.config.message.selectModelRequired\": \"请选择模型\",\n  \"businessLogic.config.message.businessDescriptionRequired\": \"请先输入业务描述\",\n  \"businessLogic.config.message.generateSuccess\": \"智能体提示词生成成功\",\n  \"businessLogic.config.message.generateError\": \"智能体提示词生成失败\",\n  \"businessLogic.config.error.noAgentId\": \"无法继续：未设置智能体ID\",\n  \"businessLogic.config.error.businessDescriptionRequired\": \"请先输入业务描述\",\n  \"businessLogic.config.error.nameEmpty\": \"智能体名称不能为空\",\n  \"businessLogic.config.error.saveFailed\": \"智能体保存失败\",\n  \"businessLogic.config.error.saveRetry\": \"智能体保存失败，请稍后重试\",\n  \"businessLogic.config.error.agentImportFailed\": \"智能体导入失败\",\n  \"businessLogic.config.error.agentDeleteFailed\": \"智能体删除失败\",\n  \"businessLogic.config.error.agentImportSuccess\": \"智能体导入成功\",\n  \"businessLogic.config.error.agentDeleteSuccess\": \"智能体删除成功\",\n  \"businessLogic.config.error.invalidFileType\": \"文件类型错误，请检查JSON格式\",\n  \"businessLogic.config.error.agentListFailed\": \"获取智能体列表失败\",\n  \"businessLogic.config.error.agentExportFailed\": \"智能体导出失败\",\n  \"businessLogic.config.message.agentExportSuccess\": \"智能体导出成功\",\n  \"businessLogic.config.error.agentIdFailed\": \"获取新智能体 ID失败\",\n  \"businessLogic.config.error.agentDetailFailed\": \"获取智能体详情失败\",\n  \"businessLogic.config.message.agentDeleteSuccess\": \"智能体删除成功\",\n  \"businessLogic.config.message.agentDeleteFailed\": \"智能体删除失败\",\n  \"businessLogic.config.message.agentSaveSuccess\": \"智能体保存成功\",\n  \"businessLogic.config.import.duplicateTitle\": \"检测到重名智能体\",\n  \"businessLogic.config.import.duplicateDescription\": \"导入的智能体名称或展示名称与已有智能体重复。您可以选择直接导入或调用 LLM 重新生成唯一名称后导入。\",\n  \"businessLogic.config.import.duplicateConfirm\": \"重新生成并导入\",\n  \"businessLogic.config.import.duplicateCancel\": \"取消导入\",\n  \"businessLogic.config.import.forceButton\": \"直接导入\",\n  \"businessLogic.config.import.forceWarning\": \"直接导入将保留重复名称；导入后的智能体会处于不可用状态，需手动修改智能体名称和变量名后才能使用。\",\n  \"businessLogic.config.import.regenerateTooltip\": \"重新生成并导入将调用 LLM 对智能体进行重命名，可能耗时较长。\",\n\n  \"login.expired.title\": \"登录已过期\",\n  \"login.expired.content\": \"您的登录信息已过期，请重新登录以继续使用。\",\n  \"login.expired.okText\": \"立即登录\",\n  \"login.expired.cancelText\": \"返回首页\",\n\n  \"page.permissionDenied.title\": \"无权限访问\",\n  \"page.permissionDenied.content\": \"请切换有权限访问该页面的账号或访问其他页面。\",\n\n  \"auth.notLoggedIn\": \"您尚未登录\",\n  \"auth.login\": \"登录\",\n  \"auth.register\": \"注册\",\n  \"auth.logout\": \"退出登录\",\n  \"auth.confirmLogout\": \"确认退出\",\n  \"auth.confirmLogoutPrompt\": \"您确定要退出登录吗？\",\n  \"auth.confirm\": \"确认\",\n  \"auth.cancel\": \"取消\",\n  \"auth.loginTitle\": \"登录\",\n  \"auth.emailLabel\": \"邮箱地址\",\n  \"auth.emailRequired\": \"请输入邮箱地址\",\n  \"auth.passwordLabel\": \"密码\",\n  \"auth.passwordRequired\": \"请输入密码\",\n  \"auth.emailPlaceholder\": \"your@email.com\",\n  \"auth.authServiceUnavailable\": \"认证服务当前不可用，请稍后重试\",\n  \"auth.invalidCredentials\": \"账号或密码错误，请重新输入\",\n  \"auth.loggingIn\": \"登录中...\",\n  \"auth.noAccount\": \"还没有账号？\",\n  \"auth.registerNow\": \"立即注册\",\n  \"auth.sessionExpired\": \"登录已过期，请重新登录\",\n  \"auth.registerTitle\": \"注册账号\",\n  \"auth.passwordMinLength\": \"密码长度至少为6个字符\",\n  \"auth.passwordsDoNotMatch\": \"两次输入的密码不一致\",\n  \"auth.confirmPasswordLabel\": \"确认密码\",\n  \"auth.confirmPasswordRequired\": \"请确认密码\",\n  \"auth.registering\": \"注册中...\",\n  \"auth.registeringAdmin\": \"注册管理员中...\",\n  \"auth.hasAccount\": \"已有账号？\",\n  \"auth.loginNow\": \"立即登录\",\n  \"auth.loginSuccess\": \"登录成功，欢迎回来！\",\n  \"auth.registerSuccessAutoLogin\": \"注册成功，已为您自动登录\",\n  \"auth.registerSuccessManualLogin\": \"注册成功，请登录\",\n  \"auth.adminRegisterSuccessAutoLogin\": \"管理员账号注册成功！已为您自动登录，您现在拥有系统管理权限\",\n  \"auth.adminRegisterSuccessManualLogin\": \"管理员账号注册成功！请登录以获取管理权限\",\n  \"auth.logoutSuccess\": \"您已成功退出登录\",\n  \"auth.logoutFailed\": \"退出失败，请重试\",\n  \"auth.accessDenied\": \"您没有权限访问此页面\",\n  \"auth.revoke\": \"删除账号\",\n  \"auth.confirmRevoke\": \"确认删除账号\",\n  \"auth.confirmRevokePrompt\": \"确定要彻底删除当前账号吗？此操作不可恢复！\",\n  \"auth.confirmRevokeOk\": \"永久删除\",\n  \"auth.revokeSuccess\": \"账号删除成功\",\n  \"auth.revokeFailed\": \"账号删除失败，请稍后重试\",\n  \"auth.refuseRevoke\": \"删除账号\",\n  \"auth.refuseRevokePrompt\": \"您的身份为管理员，账号暂不支持删除。\",\n  \"auth.adminAccount\": \"管理员账号\",\n  \"auth.adminAccountDescription\": \"管理员拥有更多权限，可以配置模型、创建智能体等\",\n  \"auth.admin\": \"管理员\",\n  \"auth.user\": \"普通用户\",\n  \"auth.su\": \"超级管理员\",\n  \"auth.dev\": \"开发者\",\n  \"auth.speed\": \"默认角色\",\n  \"auth.inviteCodeLabel\": \"邀请码\",\n  \"auth.inviteCodeRequired\": \"请输入邀请码\",\n  \"auth.inviteCodePlaceholder\": \"请输入邀请码\",\n  \"auth.registerAdmin\": \"注册管理员账号\",\n  \"auth.inviteCodeNotConfigured\": \"管理员注册功能暂未开放，请联系系统管理员配置邀请码\",\n  \"auth.inviteCodeInvalid\": \"管理员邀请码错误，请检查后重新输入\",\n  \"auth.emailAlreadyExists\": \"该邮箱已被注册，请使用其他邮箱地址或尝试登录现有账号\",\n  \"auth.weakPassword\": \"密码强度不够，请设置更安全的密码\",\n  \"auth.invalidEmailFormat\": \"邮箱格式不正确，请检查后重新输入\",\n  \"auth.networkError\": \"网络连接超时，请检查网络后重试\",\n  \"auth.registrationServiceError\": \"注册服务暂时不可用，请稍后重试\",\n  \"auth.unknownError\": \"注册失败，请稍后重试\",\n  \"auth.inviteCodeHint.title\": \"如何获取管理员邀请码？\",\n  \"auth.inviteCodeHint.step1\": \"前往\",\n  \"auth.inviteCodeHint.step2\": \"前往\",\n  \"auth.inviteCodeHint.step3\": \"加入\",\n  \"auth.inviteCodeHint.starAction\": \"并为我们点一个 Star\",\n  \"auth.inviteCodeHint.step2Action\": \"留下痕迹成为共创者\",\n  \"auth.inviteCodeHint.step3Action\": \"获取专属邀请码\",\n  \"auth.inviteCodeHint.popoverTitle\": \"如何获取邀请码\",\n  \"auth.inviteCodeHint.howToGetCode\": \"如何获取邀请码？\",\n  \"auth.inviteCodeHint.communityLink\": \"官方技术交流群\",\n  \"auth.inviteCodeHint.projectLink\": \"项目地址\",\n  \"auth.inviteCodeHint.contributionWallLink\": \"贡献墙\",\n  \"auth.inviteCodeHint.contributionWallUrl\": \"https://github.com/ModelEngine-Group/nexent/blob/develop/doc/docs/zh/opensource-memorial-wall.md\",\n  \"auth.inviteCodeHint.documentationUrl\": \"https://modelengine-group.github.io/nexent/zh/contributing.html#%F0%9F%8C%9F-%E5%BC%80%E6%BA%90%E7%BA%AA%E5%BF%B5%E5%A2%99%E5%BF%AB%E9%80%9F%E8%B4%A1%E7%8C%AE\",\n  \"auth.inviteCodeHint.viewDocumentation\": \"查看说明文档\",\n  \"auth.inviteCodeHint.method1.title\": \"方式一：开源社区贡献\",\n  \"auth.inviteCodeHint.method2.title\": \"方式二：联系租户管理员\",\n  \"auth.inviteCodeHint.method2.description\": \"联系您的租户管理员，获取专属邀请码\",\n\n  \"toolManagement.refresh.title\": \"刷新工具列表\",\n  \"toolManagement.refresh.button.refreshing\": \"刷新中\",\n  \"toolManagement.refresh.button.refresh\": \"刷新工具\",\n  \"toolManagement.mcp.title\": \"配置MCP服务器\",\n  \"toolManagement.mcp.button\": \"MCP配置\",\n  \"toolManagement.message.updateStatusFailed\": \"更新工具状态失败，但仍会尝试获取工具列表\",\n  \"toolManagement.message.refreshSuccess\": \"工具列表已刷新\",\n  \"toolManagement.message.refreshFailed\": \"刷新工具列表失败\",\n  \"toolManagement.message.refreshFailedRetry\": \"刷新工具列表失败，请稍后重试\",\n\n  \"mcpConfig.modal.title\": \"MCP服务器配置\",\n  \"mcpConfig.modal.close\": \"关闭\",\n  \"mcpConfig.modal.updatingTools\": \"正在更新工具列表...\",\n  \"mcpConfig.addServer.title\": \"添加MCP服务器\",\n  \"mcpConfig.addServer.namePlaceholder\": \"服务器名称\",\n  \"mcpConfig.addServer.urlPlaceholder\": \"服务器URL (如: http://localhost:3001/mcp)，目前支持sse和streamable-http协议\",\n  \"mcpConfig.addServer.button.add\": \"添加\",\n  \"mcpConfig.addServer.button.updating\": \"更新中...\",\n  \"mcpConfig.serverList.title\": \"已配置的MCP服务器\",\n  \"mcpConfig.serverList.column.name\": \"服务器名称\",\n  \"mcpConfig.serverList.column.url\": \"URL\",\n  \"mcpConfig.serverList.column.status\": \"状态\",\n  \"mcpConfig.serverList.column.action\": \"操作\",\n  \"mcpConfig.serverList.button.viewTools\": \"查看工具\",\n  \"mcpConfig.serverList.button.healthCheck\": \"连通性校验\",\n  \"mcpConfig.serverList.button.edit\": \"编辑\",\n  \"mcpConfig.serverList.button.delete\": \"删除\",\n  \"mcpConfig.serverList.button.viewToolsDisabledHint\": \"请先检查MCP服务可用性\",\n  \"mcpConfig.serverList.empty\": \"暂无配置的服务器\",\n  \"mcpConfig.toolsList.title\": \"可用工具\",\n  \"mcpConfig.toolsList.column.name\": \"工具名称\",\n  \"mcpConfig.toolsList.column.description\": \"描述\",\n  \"mcpConfig.toolsList.button.expand\": \"展开\",\n  \"mcpConfig.toolsList.button.collapse\": \"收起\",\n  \"mcpConfig.toolsList.empty\": \"该服务器暂无可用工具\",\n  \"mcpConfig.toolsList.loading\": \"正在加载工具列表...\",\n  \"mcpConfig.message.loadServerListFailed\": \"加载服务器列表失败\",\n  \"mcpConfig.message.completeServerInfo\": \"请填写完整的服务器名称和URL\",\n  \"mcpConfig.message.invalidServerName\": \"服务器名称只能包含英文字母、数字、下划线和连字符\",\n  \"mcpConfig.message.serverNameTooLong\": \"服务器名称长度不能超过20个字符\",\n  \"mcpConfig.message.serverExists\": \"服务器名称或URL已存在\",\n  \"mcpConfig.message.nameAndUrlRequired\": \"服务名称和URL不能为空\",\n  \"mcpConfig.message.addServerFailed\": \"添加服务器失败\",\n  \"mcpConfig.message.deleteServerFailed\": \"删除服务器失败\",\n  \"mcpConfig.message.getToolsFailed\": \"获取工具列表失败\",\n  \"mcpConfig.delete.confirmTitle\": \"确认删除\",\n  \"mcpConfig.delete.confirmContent\": \"确定要删除这个MCP服务器吗？\",\n  \"mcpConfig.status.updatingToolsHint\": \"正在自动更新工具列表，请勿关闭页面或取消操作...\",\n  \"mcpConfig.status.available\": \"可用\",\n  \"mcpConfig.status.unavailable\": \"不可用\",\n  \"mcpConfig.debug.autoUpdateToolsFailed\": \"自动更新工具列表失败:\",\n  \"mcpConfig.message.healthCheckFailed\": \"无法连接mcp服务器，请检查服务器是否正常运行\",\n  \"mcpConfig.message.healthChecking\": \"正在尝试连接mcp服务器 {{name}}\",\n  \"mcpConfig.message.healthCheckSuccess\": \"mcp服务器连接成功\",\n  \"mcpConfig.addContainer.title\": \"添加容器化MCP服务\",\n  \"mcpConfig.addContainer.configHint\": \"请输入MCP服务器配置JSON（格式：{\\\"mcpServers\\\": {\\\"server-name\\\": {...}}}）\",\n  \"mcpConfig.addContainer.configPlaceholder\": \"请输入MCP服务器配置JSON\",\n  \"mcpConfig.addContainer.port\": \"端口\",\n  \"mcpConfig.addContainer.portPlaceholder\": \"请输入端口号\",\n  \"mcpConfig.addContainer.button.add\": \"添加\",\n  \"mcpConfig.addContainer.button.updating\": \"添加中...\",\n  \"mcpConfig.editServer.title\": \"编辑MCP服务器\",\n  \"mcpConfig.editServer.serviceName\": \"服务名称\",\n  \"mcpConfig.editServer.serviceNamePlaceholder\": \"请输入服务名称\",\n  \"mcpConfig.editServer.mcpUrl\": \"MCP URL\",\n  \"mcpConfig.editServer.mcpUrlPlaceholder\": \"请输入MCP服务器URL\",\n  \"mcpConfig.editServer.authorizationToken\": \"Authorization Token\",\n  \"mcpConfig.editServer.authorizationTokenPlaceholder\": \"服务器Bearer Token（可选）\",\n  \"mcpConfig.containerList.title\": \"已启动的容器化MCP服务\",\n  \"mcpConfig.containerList.column.name\": \"名称\",\n  \"mcpConfig.containerList.column.containerId\": \"容器ID\",\n  \"mcpConfig.containerList.column.port\": \"端口\",\n  \"mcpConfig.containerList.column.status\": \"状态\",\n  \"mcpConfig.containerList.column.action\": \"操作\",\n  \"mcpConfig.containerList.button.viewLogs\": \"查看日志\",\n  \"mcpConfig.containerList.button.delete\": \"删除\",\n  \"mcpConfig.containerList.empty\": \"暂无已启动的容器\",\n  \"mcpConfig.containerLogs.title\": \"容器日志\",\n  \"mcpConfig.containerLogs.loading\": \"正在加载日志...\",\n  \"mcpConfig.containerLogs.empty\": \"暂无日志\",\n  \"mcpConfig.deleteContainer.confirmTitle\": \"确认删除\",\n  \"mcpConfig.deleteContainer.confirmContent\": \"确定要删除容器 {{name}} 吗？\",\n  \"mcpConfig.message.loadContainerListFailed\": \"加载容器列表失败\",\n  \"mcpConfig.message.containerConfigRequired\": \"请输入容器配置JSON\",\n  \"mcpConfig.message.validPortRequired\": \"请输入有效的端口号 (1-65535)\",\n  \"mcpConfig.message.invalidJsonConfig\": \"无效的JSON配置，请检查格式\",\n  \"mcpConfig.message.invalidConfigStructure\": \"配置结构无效，必须包含 mcpServers 对象\",\n  \"mcpConfig.message.addContainerFailed\": \"添加容器失败\",\n  \"mcpConfig.message.getContainerLogsFailed\": \"获取容器日志失败\",\n  \"mcpConfig.message.deleteContainerFailed\": \"删除容器失败\",\n  \"mcpConfig.uploadImage.title\": \"上传MCP镜像\",\n  \"mcpConfig.uploadImage.filePlaceholder\": \"选择Docker镜像文件(.tar)\",\n  \"mcpConfig.uploadImage.fileHint\": \"仅支持.tar格式的Docker镜像文件\",\n  \"mcpConfig.uploadImage.portPlaceholder\": \"请输入端口号\",\n  \"mcpConfig.uploadImage.serviceNamePlaceholder\": \"服务名称（可选，不填则自动生成）\",\n  \"mcpConfig.uploadImage.button.selectFile\": \"选择文件\",\n  \"mcpConfig.uploadImage.button.uploading\": \"上传中...\",\n  \"mcpConfig.message.uploadImageFileRequired\": \"请选择要上传的镜像文件\",\n  \"mcpConfig.message.uploadImageValidPortRequired\": \"请输入有效的端口号 (1-65535)\",\n  \"mcpConfig.message.uploadImageInvalidFileType\": \"仅支持.tar格式的文件\",\n\n  \"mcpService.debug.getServerListFailed\": \"获取MCP服务器列表失败:\",\n  \"mcpService.debug.addServerFailed\": \"添加MCP服务器失败:\",\n  \"mcpService.debug.updateServerFailed\": \"更新MCP服务器失败:\",\n  \"mcpService.debug.deleteServerFailed\": \"删除MCP服务器失败:\",\n  \"mcpService.debug.getToolsFailed\": \"获取MCP工具列表失败:\",\n  \"mcpService.debug.updateToolListFailed\": \"更新工具列表失败:\",\n  \"mcpService.debug.uploadImageFailed\": \"上传MCP镜像失败:\",\n  \"mcpService.message.getServerListFailed\": \"获取MCP服务器列表失败\",\n  \"mcpService.message.getRemoteProxyFailed\": \"获取远程MCP代理列表失败，请稍后重试\",\n  \"mcpService.message.networkError\": \"网络请求失败，请检查网络连接并重试\",\n  \"mcpService.message.addServerSuccess\": \"添加MCP服务器成功\",\n  \"mcpService.message.addServerFailed\": \"添加MCP服务器失败\",\n  \"mcpService.message.updateServerSuccess\": \"更新MCP服务器成功\",\n  \"mcpService.message.updateServerFailed\": \"更新MCP服务器失败\",\n  \"mcpService.message.updateProxyFailed\": \"更新MCP代理失败，请检查服务器配置\",\n  \"mcpService.message.nameAlreadyUsed\": \"名称已被他人使用，请更换mcp服务名称\",\n  \"mcpService.message.cannotConnectToServer\": \"无法连接到远程MCP服务器，请检查URL是否正确且服务器正在运行\",\n  \"mcpService.message.addProxyFailed\": \"添加MCP代理失败，请检查服务器配置\",\n  \"mcpService.message.deleteServerSuccess\": \"删除MCP服务器成功\",\n  \"mcpService.message.deleteServerFailed\": \"删除MCP服务器失败\",\n  \"mcpService.message.getToolsFailed\": \"获取MCP工具列表失败\",\n  \"mcpService.message.updateToolListSuccess\": \"更新工具列表成功\",\n  \"mcpService.message.updateToolListFailed\": \"更新工具列表失败\",\n  \"mcpService.message.addContainerSuccess\": \"添加容器化MCP服务成功\",\n  \"mcpService.message.deleteContainerSuccess\": \"删除容器成功\",\n  \"mcpService.message.resourceNotFound\": \"请求的资源未找到\",\n  \"mcpService.message.serverInternalError\": \"服务器内部错误，请稍后重试\",\n  \"mcpService.message.serviceUnavailable\": \"服务暂时不可用，请稍后重试\",\n  \"mcpService.message.deleteProxyFailed\": \"删除MCP代理失败，请检查服务器配置\",\n  \"mcpService.message.serverNotFound\": \"MCP服务器未找到\",\n  \"mcpService.message.getToolsFromServerFailed\": \"从远程MCP服务器获取工具失败\",\n  \"mcpService.message.updateToolListBadRequest\": \"更新工具列表请求参数错误\",\n  \"mcpService.message.uploadImageSuccess\": \"MCP镜像上传并启动成功\",\n  \"mcpService.message.uploadImageFailed\": \"MCP镜像上传失败\",\n  \"mcpService.message.invalidUploadParameters\": \"上传参数无效\",\n  \"mcpService.message.serviceNameAlreadyExists\": \"MCP服务名称已存在\",\n  \"mcpService.message.fileTooLarge\": \"文件大小超过限制\",\n  \"mcpService.message.missingMcpImage\": \"添加容器失败：缺少mcp服务启动镜像\",\n\n  \"agentConfig.tools.refreshSuccess\": \"工具列表已刷新\",\n  \"agentConfig.tools.refreshFailed\": \"刷新工具列表失败\",\n  \"agentConfig.tools.fetchFailed\": \"获取工具列表失败，请稍后重试\",\n  \"agentConfig.agents.listFetchFailed\": \"获取智能体列表失败，请稍后重试\",\n  \"agentConfig.agents.createSubAgentIdFailed\": \"获取创建子智能体ID失败，请稍后重试\",\n  \"agentConfig.agents.detailsFetchFailed\": \"获取智能体详情失败，请稍后重试\",\n  \"agentConfig.agents.callRelationshipFetchFailed\": \"获取智能体调用关系失败，请稍后重试\",\n  \"agentConfig.agents.defaultDisplayName\": \"智能体\",\n  \"agentConfig.agents.copyConfirmTitle\": \"确认复制\",\n  \"agentConfig.agents.copyConfirmContent\": \"确定要复制 {{name}} 吗？\",\n  \"agentConfig.agents.copySuccess\": \"智能体复制成功\",\n  \"agentConfig.agents.copyUnavailableTools\": \"已忽略{{count}}个不可用工具：{{names}}\",\n  \"agentConfig.agents.copyFailed\": \"智能体复制失败\",\n  \"agentConfig.tools.refreshFailedDebug\": \"刷新工具列表失败:\",\n  \"agentConfig.agents.detailsLoadFailed\": \"加载智能体详情失败:\",\n  \"agentConfig.agents.importFailed\": \"导入智能体失败:\",\n  \"agentConfig.agents.exportFailed\": \"导出智能体失败:\",\n  \"agentConfig.agents.deleteFailed\": \"删除智能体失败:\",\n  \"agentConfig.agents.listFetchFailedDebug\": \"获取智能体列表失败:\",\n  \"agentConfig.modals.saveConfirm.title\": \"未保存的更改\",\n  \"agentConfig.modals.saveConfirm.content\": \"当前智能体有未保存的更改。是否现在保存？\",\n  \"agentConfig.modals.saveConfirm.invalidContent\": \"当前配置无法保存：{{invalidReason}}。请修改后重试。\",\n  \"agentConfig.modals.saveConfirm.discard\": \"放弃更改\",\n  \"agentConfig.modals.saveConfirm.save\": \"保存\",\n\n  \"embedding.emptyWarningModal.title\": \"未选择向量模型\",\n  \"embedding.emptyWarningModal.content\": \"您未选择向量模型，后续知识库配置、记忆功能、知识检索工具以及其他部分智能体工具将无法使用。\",\n  \"embedding.emptyWarningModal.tip\": \"建议您在模型配置中选择合适的向量模型，以获得完整体验。\",\n  \"embedding.emptyWarningModal.cancel\": \"返回配置\",\n  \"embedding.emptyWarningModal.ok_continue\": \"我知道了，继续下一步\",\n  \"embedding.unavaliableWarningModal.title\": \"向量模型连通性未确认\",\n  \"embedding.unavaliableWarningModal.content\": \"您选择的向量模型尚未确认连通。强行继续可能导致后续知识库创建、记忆生成、智能体工具调用等功能出现无法预知的错误，影响您的正常体验。\",\n  \"embedding.unavaliableWarningModal.tip\": \"建议您等待连通性检测完成后再继续操作。\",\n  \"embedding.unavaliableWarningModal.cancel\": \"返回配置\",\n  \"embedding.unavaliableWarningModal.ok\": \"我知道了，继续下一步\",\n  \"embedding.modifyWarningModal.title\": \"修改向量模型\",\n  \"embedding.modifyWarningModal.content\": \"您正在尝试修改已生效的向量模型配置。这会导致先前使用该模型清洗的文件、创建的知识库、生成的记忆条目等均被暂时禁用。\",\n  \"embedding.modifyWarningModal.ok_proceed\": \"立即修改\",\n  \"embedding.modifyWarningModal.cancel\": \"取消\",\n  \"embedding.knowledgeBaseDisabledWarningModal.title\": \"您尚未配置向量模型，暂时无法使用知识库功能。\",\n  \"embedding.knowledgeBaseAutoDeselectModal.title\": \"自动移除不兼容知识库\",\n  \"embedding.knowledgeBaseAutoDeselectModal.content\": \"由于您已修改向量模型配置，已自动取消选中不兼容的知识库。\",\n  \"embedding.agentToolAutoDeselectModal.title\": \"自动移除无法使用的智能体工具\",\n  \"embedding.agentToolAutoDeselectModal.content\": \"由于您尚未配置向量模型，已自动取消选中无法使用的智能体工具。\",\n  \"embedding.agentToolDisableTooltip.content\": \"您尚未配置向量模型，无法使用依赖向量化能力的智能体工具\",\n  \"embedding.chatMemoryWarningModal.title\": \"向量模型未配置\",\n  \"embedding.chatMemoryWarningModal.content\": \"您尚未配置向量模型，暂时无法使用记忆功能。\",\n  \"embedding.chatMemoryWarningModal.tip\": \"建议您联系您的租户管理员进行配置。\",\n  \"embedding.chatMemoryWarningModal.ok_config\": \"前往配置\",\n  \"embedding.chatMemoryWarningModal.ok\": \"取消\",\n  \"embedding.chatMemoryAutoDeselectModal.title\": \"自动关闭无法使用的记忆功能\",\n  \"embedding.chatMemoryAutoDeselectModal.content\": \"由于您尚未配置向量模型，已自动关闭记忆功能。\",\n  \"embedding.chatMemoryAutoDeselectModal.tip\": \"建议您联系您的租户管理员进行配置。\",\n  \"embedding.chatMemoryAutoDeselectModal.ok_config\": \"前往配置\",\n  \"embedding.chatMemoryAutoDeselectModal.ok\": \"取消\",\n\n  \"chatStreamMain.loadingConversation\": \"正在加载对话内容...\",\n  \"chatStreamMain.loadError\": \"加载对话失败\",\n  \"chatStreamMain.retry\": \"重试\",\n\n  \"agentSelector.loading\": \"加载中...\",\n  \"agentSelector.selectAgent\": \"请选择智能体\",\n  \"agentSelector.noAvailableAgents\": \"暂无可用智能体\",\n  \"agentSelector.agentUnavailable\": \"此智能体当前不可用，请检查工具配置信息或通知管理员。\",\n  \"agentSelector.pleaseSelectAgent\": \"请先选择一个智能体\",\n\n  \"memoryDeleteModal.title\": \"确认清空记忆\",\n  \"memoryDeleteModal.description\": \"即将清空 <strong>{{title}}</strong> 的所有内容，且该操作不可恢复。\",\n  \"memoryDeleteModal.prompt\": \"确定要继续吗？\",\n  \"memoryDeleteModal.clear\": \"清空\",\n\n  \"useMemory.loadConfigError\": \"加载记忆配置失败，请检查网络连接或联系管理员\",\n  \"useMemory.memoryServiceConnectionError\": \"记忆服务连接失败，请检查配置或联系管理员\",\n  \"useMemory.loadDataError\": \"加载记忆数据失败，请稍后重试\",\n  \"useMemory.addMemorySuccess\": \"记忆添加成功\",\n  \"useMemory.addMemoryError\": \"添加记忆失败，请稍后重试\",\n  \"useMemory.clearMemorySuccess\": \"已清空 {{groupTitle}} 下的 {{count}} 条记忆\",\n  \"useMemory.clearMemoryError\": \"清空记忆失败，请稍后重试\",\n  \"useMemory.deleteMemorySuccess\": \"记忆删除成功\",\n  \"useMemory.deleteMemoryError\": \"删除记忆失败，请稍后重试\",\n  \"useMemory.setMemorySwitchError\": \"设置记忆开关失败，请稍后重试\",\n  \"useMemory.setMemoryShareOptionError\": \"设置记忆共享选项失败，请稍后重试\",\n\n  \"memoryService.loadMemoryError\": \"加载记忆失败，请稍后重试\",\n  \"memoryService.tenantSharedGroupTitle\": \"租户所有用户的共享记忆\",\n  \"memoryService.agentSharedGroupTitle\": \"{{agentName}}\",\n  \"memoryService.agentSharedPlaceholder\": \"智能体共享记忆\",\n  \"memoryService.userPersonalGroupTitle\": \"用户的个性化记忆\",\n  \"memoryService.userAgentGroupTitle\": \"{{agentName}}\",\n  \"memoryService.userAgentPlaceholder\": \"用户智能体记忆\",\n\n  \"memoryManageModal.title\": \"记忆管理\",\n  \"memoryManageModal.memoryAbility\": \"记忆能力\",\n  \"memoryManageModal.agentMemoryShare\": \"智能体记忆共享\",\n  \"memoryManageModal.shareOption.always\": \"总是共享\",\n  \"memoryManageModal.shareOption.ask\": \"每次询问我\",\n  \"memoryManageModal.shareOption.never\": \"永不共享\",\n  \"memoryManageModal.addMemory\": \"添加记忆\",\n  \"memoryManageModal.clearMemory\": \"清空记忆\",\n  \"memoryManageModal.deleteMemory\": \"删除记忆\",\n  \"memoryManageModal.noMemory\": \"暂无记忆\",\n  \"memoryManageModal.baseSettings\": \"基础设置\",\n  \"memoryManageModal.tenantShareTab\": \"租户共享\",\n  \"memoryManageModal.agentShareTab\": \"智能体共享\",\n  \"memoryManageModal.userPersonalTab\": \"用户个性化\",\n  \"memoryManageModal.userAgentTab\": \"用户智能体\",\n  \"memoryManageModal.inputPlaceholder\": \"请输入记忆内容\",\n\n  \"agentCallRelationship.title\": \"查看调用关系\",\n  \"agentCallRelationship.loading\": \"正在加载调用关系...\",\n  \"agentCallRelationship.description\": \"此流程图显示了 {{name}} 及其所有工具和协作智能体的调用关系\",\n  \"agentCallRelationship.noData\": \"暂无调用关系数据\",\n  \"businessLogic.config.error.loadModelsFailed\": \"加载可用模型失败\",\n  \"businessLogic.config.error.noAvailableModels\": \"暂无可用的模型\",\n  \"businessLogic.config.error.modelUpdateFailed\": \"更新智能体模型失败\",\n  \"businessLogic.config.error.maxStepsUpdateFailed\": \"更新智能体最大步数失败\",\n\n  \"diagram.button.showDiagram\": \"显示图表\",\n  \"diagram.button.showCode\": \"显示代码\",\n  \"diagram.button.zoomOut\": \"缩小\",\n  \"diagram.button.zoomIn\": \"放大\",\n  \"diagram.button.download\": \"下载\",\n  \"diagram.format.svg\": \"SVG\",\n  \"diagram.format.png\": \"PNG\",\n  \"diagram.format.selectFormat\": \"选择格式\",\n  \"diagram.error.renderFailed\": \"渲染失败\",\n\n  \"space.title\": \"智能体空间\",\n  \"space.description\": \"管理和使用您的智能体\",\n  \"space.createAgent\": \"创建智能体\",\n  \"space.noAgents\": \"暂无智能体，创建您的第一个智能体吧！\",\n  \"space.noDescription\": \"暂无描述\",\n  \"space.status.available\": \"可用\",\n  \"space.status.unavailable\": \"不可用\",\n  \"space.deleteConfirm.title\": \"删除智能体\",\n  \"space.deleteConfirm.content\": \"确定要删除此智能体吗？此操作无法撤销。\",\n  \"space.deleteSuccess\": \"智能体删除成功\",\n  \"space.exportSuccess\": \"智能体导出成功\",\n  \"space.actions.edit\": \"编辑\",\n  \"space.actions.delete\": \"删除\",\n  \"space.actions.export\": \"导出\",\n  \"space.actions.relationship\": \"查看关系\",\n  \"space.actions.chat\": \"聊天\",\n  \"space.detail.title\": \"智能体详情\",\n  \"space.detail.subtitle\": \"详细配置和信息\",\n  \"space.detail.tabs.basic\": \"基础信息\",\n  \"space.detail.tabs.model\": \"模型配置\",\n  \"space.detail.tabs.prompts\": \"提示词\",\n  \"space.detail.tabs.tools\": \"工具\",\n  \"space.detail.tabs.subAgents\": \"子智能体\",\n  \"space.detail.id\": \"智能体 ID\",\n  \"space.detail.name\": \"名称\",\n  \"space.detail.displayName\": \"显示名称\",\n  \"space.detail.description\": \"描述\",\n  \"space.detail.status\": \"状态\",\n  \"space.detail.enabled\": \"已启用\",\n  \"space.detail.model\": \"模型名称\",\n  \"space.detail.modelId\": \"模型 ID\",\n  \"space.detail.maxStep\": \"最大步数\",\n  \"space.detail.businessLogicModel\": \"业务逻辑模型名称\",\n  \"space.detail.businessLogicModelId\": \"业务逻辑模型 ID\",\n  \"space.detail.provideRunSummary\": \"提供运行摘要\",\n  \"space.detail.dutyPrompt\": \"职责提示词\",\n  \"space.detail.constraintPrompt\": \"约束提示词\",\n  \"space.detail.fewShotsPrompt\": \"少样本提示词\",\n  \"space.detail.businessDescription\": \"业务描述\",\n  \"space.detail.noTools\": \"暂无配置工具\",\n  \"space.detail.noSubAgents\": \"暂无配置子智能体\",\n  \"space.detail.subAgentId\": \"子智能体 ID\",\n  \"space.detail.source\": \"来源\",\n  \"space.detail.category\": \"分类\",\n  \"space.detail.usage\": \"MCP服务器\",\n  \"space.detail.parameters\": \"参数\",\n\n  \"sidebar.homePage\": \"首页\",\n  \"sidebar.startChat\": \"开始问答\",\n  \"sidebar.quickConfig\": \"快速配置\",\n  \"sidebar.agentSpace\": \"智能体空间\",\n  \"sidebar.agentMarket\": \"智能体市场\",\n  \"sidebar.agentDev\": \"智能体开发\",\n  \"sidebar.knowledgeBase\": \"知识库\",\n  \"sidebar.modelManagement\": \"模型管理\",\n  \"sidebar.memoryManagement\": \"记忆管理\",\n  \"sidebar.userManagement\": \"个人信息\",\n  \"sidebar.tenantResources\": \"租户资源\",\n  \"sidebar.mcpToolsManagement\": \"MCP 工具\",\n  \"sidebar.monitoringManagement\": \"监控与运维\",\n\n  \"tenantResources.create\": \"创建\",\n  \"tenantResources.subtitle\": \"管理租户、用户、用户组和资源\",\n  \"tenantResources.title\": \"租户资源管理\",\n\n  \"tenantResources.tabs.groups\": \"用户组\",\n  \"tenantResources.tabs.knowledge\": \"知识库\",\n  \"tenantResources.tabs.models\": \"模型\",\n  \"tenantResources.tabs.agents\": \"智能体\",\n  \"tenantResources.tabs.users\": \"用户\",\n  \"tenantResources.tabs.mcp\": \"MCP\",\n  \"tenantResources.mcp.addService\": \"添加 MCP 服务\",\n\n  \"tenantResources.groups.confirmDelete\": \"删除用户组\\\"{{name}}\\\"？\",\n  \"tenantResources.groups.createGroup\": \"创建用户组\",\n  \"tenantResources.groups.createNew\": \"新建用户组\",\n  \"tenantResources.groups.created\": \"用户组已创建\",\n  \"tenantResources.groups.deleted\": \"用户组已删除\",\n  \"tenantResources.groups.deleteGroup\": \"删除用户组\",\n  \"tenantResources.groups.editGroup\": \"编辑用户组\",\n  \"tenantResources.groups.enterDescription\": \"输入用户组描述（可选）\",\n  \"tenantResources.groups.enterName\": \"输入用户组名称\",\n  \"tenantResources.groups.members\": \"组成员\",\n  \"tenantResources.groups.name\": \"用户组名称\",\n  \"tenantResources.groups.noGroups\": \"暂无用户组\",\n  \"tenantResources.groups.noMembers\": \"该组暂无成员\",\n  \"tenantResources.groups.required\": \"请选择用户组或创建一个新的\",\n  \"tenantResources.groups.selectGroup\": \"选择用户组\",\n  \"tenantResources.groups.selectUsers\": \"选择用户\",\n  \"tenantResources.groups.totalMembers\": \"总成员数\",\n  \"tenantResources.groups.updated\": \"用户组已更新\",\n  \"tenantResources.groups.loadMembersFailed\": \"加载组成员失败\",\n  \"tenantResources.groups.loadUsersFailed\": \"加载用户组用户失败\",\n  \"tenantResources.groups.deleteFailed\": \"删除用户组失败\",\n  \"tenantResources.groups.noTenantSelected\": \"未选择租户\",\n  \"tenantResources.groups.updateFailed\": \"更新用户组失败\",\n  \"tenantResources.groups.noDescription\": \"无描述\",\n  \"tenantResources.groups.duplicateName\": \"用户组名称已存在，请使用其他名称\",\n\n  \"tenantResources.knowledgeBases.enterDescription\": \"可选描述\",\n  \"tenantResources.knowledgeBases.enterName\": \"例如：公司文档\",\n\n  \"tenantResources.knowledgeBase.sources\": \"知识库来源\",\n  \"tenantResources.knowledgeBase.permission\": \"组内权限\",\n  \"tenantResources.knowledgeBase.permission.EDIT\": \"可编辑\",\n  \"tenantResources.knowledgeBase.permission.READ_ONLY\": \"只读\",\n  \"tenantResources.knowledgeBase.permission.PRIVATE\": \"私有\",\n  \"tenantResources.knowledgeBase.permission.DEFAULT\": \"只读 (默认)\",\n  \"tenantResources.knowledgeBase.groupNames\": \"用户组\",\n  \"tenantResources.knowledgeBase.documents\": \"文档数\",\n  \"tenantResources.knowledgeBase.chunks\": \"分块数\",\n  \"tenantResources.knowledgeBase.storeSize\": \"占用空间\",\n  \"tenantResources.knowledgeBase.processSource\": \"处理核心\",\n  \"tenantResources.knowledgeBase.noGroups\": \"暂无用户组\",\n  \"tenantResources.knowledgeBase.edit\": \"编辑知识库\",\n  \"tenantResources.knowledgeBase.updated\": \"知识库已更新\",\n  \"tenantResources.knowledgeBase.deleted\": \"知识库已删除\",\n  \"tenantResources.knowledgeBase.updateFailed\": \"知识库更新失败\",\n  \"tenantResources.knowledgeBase.deleteFailed\": \"知识库删除失败\",\n  \"tenantResources.knowledgeBase.nameRequired\": \"请输入知识库名称\",\n  \"tenantResources.knowledgeBase.nameExists\": \"知识库名称已存在，请使用其他名称\",\n  \"tenantResources.knowledgeBase.nameCheckFailed\": \"知识库名称检查失败\",\n  \"tenantResources.knowledgeBase.checkingName\": \"正在检查知识库名称...\",\n  \"tenantResources.knowledgeBase.nameInvalid\": \"知识库名称无效\",\n  \"tenantResources.knowledgeBase.permissionRequired\": \"请选择组内权限\",\n  \"tenantResources.knowledgeBase.enterName\": \"请输入知识库名称\",\n  \"tenantResources.knowledgeBase.editSummary\": \"编辑摘要\",\n  \"tenantResources.knowledgeBase.summary\": \"知识库摘要\",\n  \"tenantResources.knowledgeBase.enterSummary\": \"请输入知识库摘要\",\n  \"tenantResources.knowledgeBase.summaryRequired\": \"请输入知识库摘要\",\n  \"tenantResources.knowledgeBase.summaryUpdated\": \"摘要更新成功\",\n  \"tenantResources.knowledgeBase.getSummaryFailed\": \"获取知识库摘要失败\",\n  \"tenantResources.knowledgeBase.noSummary\": \"该知识库尚无摘要\",\n  \"tenantResources.knowledgeBase.viewSummary\": \"摘要概览\",\n  \"tenantResources.knowledgeBase.externalSourceDisabled\": \"不可操作外部知识库\",\n\n  \"tenantResources.models.status.available\": \"可用\",\n  \"tenantResources.models.status.unavailable\": \"不可用\",\n  \"tenantResources.models.status.detecting\": \"检测中\",\n  \"tenantResources.models.status.not_detected\": \"未检测\",\n\n  \"tenantResources.models.type.llm\": \"大语言模型\",\n  \"tenantResources.models.type.embedding\": \"向量化模型\",\n  \"tenantResources.models.type.multi_embedding\": \"多模态向量化模型\",\n  \"tenantResources.models.type.rerank\": \"重排模型\",\n  \"tenantResources.models.type.stt\": \"语音转文本模型\",\n  \"tenantResources.models.type.tts\": \"文本转语音模型\",\n  \"tenantResources.models.type.vlm\": \"视觉语言模型\",\n\n  \"tenantResources.models.confirmDelete\": \"删除模型？\",\n  \"tenantResources.models.editModel\": \"编辑模型\",\n  \"tenantResources.models.deleteModel\": \"删除模型\",\n  \"tenantResources.models.deleteSuccess\": \"模型已删除\",\n  \"tenantResources.models.deleteFailed\": \"删除模型失败\",\n  \"tenantResources.models.checkConnectivity\": \"检查连通性\",\n  \"tenantResources.models.connectivitySuccess\": \"模型连通性正常\",\n  \"tenantResources.models.connectivityFailed\": \"模型无法连接\",\n  \"tenantResources.models.connectivityError\": \"检查连通性时发生错误\",\n  \"tenantResources.models.enterDescription\": \"输入模型描述\",\n  \"tenantResources.models.enterName\": \"输入模型名称\",\n\n  \"tenantResources.tenants.confirmDelete\": \"删除租户\\\"{{name}}\\\"？\",\n  \"tenantResources.tenants.createTenant\": \"创建租户\",\n  \"tenantResources.tenants.created\": \"租户已创建\",\n  \"tenantResources.tenants.deleteTenant\": \"删除租户\",\n  \"tenantResources.tenants.deleted\": \"租户已删除\",\n  \"tenantResources.tenants.editTenant\": \"编辑租户\",\n  \"tenantResources.tenants.name\": \"租户名称\",\n  \"tenantResources.tenants.tenants\": \"租户\",\n  \"tenantResources.tenants.unnamed\": \"未命名租户\",\n  \"tenantResources.tenants.updated\": \"租户已更新\",\n  \"tenantResources.tenants.nameExists\": \"租户名称 '{{name}}' 已存在，请使用其他名称\",\n  \"tenantResources.tenants.nameRequired\": \"请输入租户名称\",\n  \"tenantResources.tenants.namePlaceholder\": \"输入租户名称\",\n  \"tenantResources.tenants.generateAdminAccount\": \"立即生成租户管理员账户\",\n  \"tenantResources.tenants.adminEmail\": \"租户管理员邮箱\",\n  \"tenantResources.tenants.adminPassword\": \"租户管理员密码\",\n  \"tenantResources.tenants.adminEmailRequired\": \"请输入租户管理员邮箱\",\n  \"tenantResources.tenants.adminPasswordRequired\": \"请输入租户管理员密码\",\n  \"tenantResources.tenants.invalidEmailFormat\": \"邮箱格式不正确\",\n  \"tenantResources.tenants.emailAlreadyExists\": \"该邮箱已被使用\",\n  \"tenantResources.tenants.weakPassword\": \"密码强度不足，至少需要6位字符\",\n  \"tenantResources.tenants.passwordsDoNotMatch\": \"两次输入的密码不一致\",\n  \"tenantResources.tenants.confirmAdminPassword\": \"确认密码\",\n  \"tenantResources.tenants.adminAccountCreated\": \"租户管理员账户已创建\",\n  \"tenantResources.tenants.failedToCreateAdminAccount\": \"创建租户管理员账户失败\",\n  \"tenantResources.tenants.tenantIdRequired\": \"租户ID是必需的\",\n  \"tenantResources.tenants.deleteWarning\": \"您即将删除租户 \\\"{{name}}\\\"\",\n  \"tenantResources.tenants.willBeDeleted\": \"租户 \\\"{{name}}\\\" 及其所有用户账号将被永久删除\",\n  \"tenantResources.tenants.usersToBeDeleted\": \"将被删除的用户 ({{count}})：\",\n  \"tenantResources.tenants.noUsers\": \"该租户下没有用户\",\n  \"tenantResources.tenants.resourcesWillBeDeleted\": \"所有模型、知识库、智能体、用户组和其他资源也将被删除。\",\n  \"tenantResources.tenantDeleteFailed\": \"删除租户失败\",\n\n  \"tenantResources.users.confirmDelete\": \"删除用户\\\"{{name}}\\\"？\",\n  \"tenantResources.users.deleteUser\": \"删除用户\",\n  \"tenantResources.users.deleted\": \"用户已删除\",\n  \"tenantResources.users.editUser\": \"编辑用户\",\n  \"tenantResources.users.enterEmail\": \"输入邮箱地址\",\n  \"tenantResources.users.updated\": \"用户已更新\",\n  \"tenantResources.users.email\": \"邮箱\",\n  \"tenantResources.users.role\": \"角色\",\n\n  \"tenantResources.contactAdmin\": \"请联系管理员为您分配租户。\",\n  \"tenantResources.noTenantAssigned\": \"未分配租户\",\n  \"tenantResources.selectTenantDescription\": \"从列表中选择一个租户来管理其资源。\",\n  \"tenantResources.selectTenantFirst\": \"请选择一个租户\",\n\n  \"tenantResources.invitation.tab\": \"邀请码\",\n  \"tenantResources.invitation.invitationCode\": \"邀请码\",\n  \"tenantResources.invitation.invitationCodePlaceholder\": \"邀请码（选填，置空可自动生成）\",\n  \"tenantResources.invitation.codeType\": \"邀请类型\",\n  \"tenantResources.invitation.groupNames\": \"用户组\",\n  \"tenantResources.invitation.capacity\": \"可使用次数\",\n  \"tenantResources.invitation.remaining\": \"剩余 {{remaining}} 次使用\",\n  \"tenantResources.invitation.usage\": \"使用情况\",\n  \"tenantResources.invitation.expiryDate\": \"到期时间\",\n  \"tenantResources.invitation.expiryDatePlaceholder\": \"邀请码到期时间（选填）\",\n  \"tenantResources.invitation.status\": \"状态\",\n  \"tenantResources.invitation.actions\": \"操作\",\n  \"tenantResources.invitation.createInvitation\": \"创建邀请码\",\n  \"tenantResources.invitation.editInvitation\": \"编辑邀请码\",\n  \"tenantResources.invitation.deleteInvitation\": \"删除邀请码\",\n  \"tenantResources.invitation.confirmDeleteInvitation\": \"删除邀请码 \\\"{{code}}\\\"？\",\n  \"tenantResources.invitation.invitationCreated\": \"邀请码创建成功\",\n  \"tenantResources.invitation.invitationUpdated\": \"邀请码更新成功\",\n  \"tenantResources.invitation.invitationDeleted\": \"邀请码删除成功\",\n  \"tenantResources.invitation.invitationCodeRequired\": \"请输入邀请码\",\n  \"tenantResources.invitation.codeTypeRequired\": \"请选择邀请类型\",\n  \"tenantResources.invitation.capacityRequired\": \"请输入可使用次数\",\n  \"tenantResources.invitation.capacityMin\": \"可使用次数至少1次\",\n  \"tenantResources.invitation.invitationCodeInvalid\": \"邀请码只能包含字母和数字\",\n  \"tenantResources.invitation.noGroups\": \"暂无用户组\",\n  \"tenantResources.invitation.noExpiry\": \"永久有效\",\n  \"tenantResources.invitation.alreadyExists\": \"邀请码已存在\",\n\n  \"tenantResources.invitation.codeType.ADMIN_INVITE\": \"管理员邀请\",\n  \"tenantResources.invitation.codeType.DEV_INVITE\": \"开发者邀请\",\n  \"tenantResources.invitation.codeType.USER_INVITE\": \"用户邀请\",\n\n  \"tenantResources.invitation.status.IN_USE\": \"可用\",\n  \"tenantResources.invitation.status.EXPIRE\": \"已过期\",\n  \"tenantResources.invitation.status.RUN_OUT\": \"已用尽\",\n  \"tenantResources.invitation.loadDefaultGroupFailed\": \"无法加载默认用户组，您可以手动选择用户组。\",\n  \"common.noTenantSelected\": \"未选择租户\",\n\n  \"market.comingSoon.title\": \"智能体市场即将推出\",\n  \"market.comingSoon.description\": \"从我们的市场中发现并安装预构建的AI智能体。通过使用社区创建的解决方案节省时间。\",\n  \"market.comingSoon.feature1\": \"浏览精选的智能体模板\",\n  \"market.comingSoon.feature2\": \"一键安装和部署\",\n  \"market.comingSoon.feature3\": \"与社区分享您自己的智能体\",\n  \"market.comingSoon.badge\": \"即将推出\",\n\n  \"market.title\": \"智能体市场\",\n  \"market.description\": \"发现并下载预构建的智能体\",\n  \"market.searchPlaceholder\": \"按名称或描述搜索智能体...\",\n  \"market.category.all\": \"全部\",\n  \"market.category.other\": \"其他\",\n  \"market.download\": \"下载\",\n  \"market.by\": \"作者：{{author}}\",\n  \"market.downloading\": \"正在下载智能体...\",\n  \"market.downloadSuccess\": \"智能体下载成功！\",\n  \"market.downloadFailed\": \"下载智能体失败\",\n  \"market.tools\": \"工具\",\n  \"market.featuredTitle\": \"精选智能体\",\n  \"market.noAgents\": \"此分类下未找到智能体\",\n  \"market.totalAgents\": \"共 {{total}} 个智能体\",\n  \"market.error.loadCategories\": \"加载分类失败\",\n  \"market.error.loadAgents\": \"加载智能体失败\",\n\n  \"market.detail.title\": \"智能体详情\",\n  \"market.detail.subtitle\": \"完整信息和配置\",\n  \"market.detail.tabs.basic\": \"基础信息\",\n  \"market.detail.tabs.model\": \"模型配置\",\n  \"market.detail.tabs.prompts\": \"提示词\",\n  \"market.detail.tabs.tools\": \"工具\",\n  \"market.detail.tabs.mcpServers\": \"MCP 服务器\",\n  \"market.detail.id\": \"智能体 ID\",\n  \"market.detail.name\": \"名称\",\n  \"market.detail.displayName\": \"显示名称\",\n  \"market.detail.author\": \"作者\",\n  \"market.detail.description\": \"描述\",\n  \"market.detail.businessDescription\": \"业务描述\",\n  \"market.detail.category\": \"分类\",\n  \"market.detail.tags\": \"标签\",\n  \"market.detail.downloadCount\": \"下载次数\",\n  \"market.detail.createdAt\": \"创建时间\",\n  \"market.detail.updatedAt\": \"更新时间\",\n  \"market.detail.enabled\": \"已启用\",\n  \"market.detail.model\": \"模型名称\",\n  \"market.detail.modelId\": \"模型 ID\",\n  \"market.detail.maxSteps\": \"最大步数\",\n  \"market.detail.recommendedModel\": \"建议模型\",\n  \"market.detail.businessLogicModel\": \"业务逻辑模型名称\",\n  \"market.detail.businessLogicModelId\": \"业务逻辑模型 ID\",\n  \"market.detail.provideRunSummary\": \"提供运行摘要\",\n  \"market.detail.dutyPrompt\": \"职责提示词\",\n  \"market.detail.constraintPrompt\": \"约束提示词\",\n  \"market.detail.fewShotsPrompt\": \"少样本提示词\",\n  \"market.detail.noTools\": \"暂无配置工具\",\n  \"market.detail.noMcpServers\": \"暂无配置 MCP 服务器\",\n  \"market.detail.toolName\": \"工具名称\",\n  \"market.detail.toolDescription\": \"描述\",\n  \"market.detail.toolSource\": \"来源\",\n  \"market.detail.toolUsage\": \"MCP 服务器\",\n  \"market.detail.toolParams\": \"参数\",\n  \"market.detail.mcpServerName\": \"服务器名称\",\n  \"market.detail.mcpServerUrl\": \"服务器地址\",\n  \"market.detail.viewDetails\": \"查看详情\",\n\n  \"market.install.title\": \"安装智能体\",\n  \"market.install.step.rename\": \"重命名智能体\",\n  \"market.install.step.model\": \"选择模型\",\n  \"market.install.step.config\": \"配置字段\",\n  \"market.install.step.mcp\": \"MCP 服务器\",\n  \"market.install.step.optional\": \"（无需配置）\",\n  \"market.install.button.previous\": \"上一步\",\n  \"market.install.button.next\": \"下一步\",\n  \"market.install.button.install\": \"安装\",\n  \"market.install.button.installing\": \"正在安装...\",\n  \"market.install.model.mode\": \"模型选择模式\",\n  \"market.install.model.mode.unified\": \"统一配置：所有智能体使用同一模型\",\n  \"market.install.model.mode.individual\": \"独立配置：为每个智能体单独选择模型\",\n  \"market.install.model.description\": \"从已配置的模型中选择一个模型用于该智能体。\",\n  \"market.install.model.description.unified\": \"从已配置的模型中选择一个模型。该模型将应用于所有智能体（主智能体和子智能体）。\",\n  \"market.install.model.description.individual\": \"为每个智能体（主智能体和子智能体）选择模型。\",\n  \"market.install.model.label\": \"模型\",\n  \"market.install.model.placeholder\": \"选择一个模型\",\n  \"market.install.model.noModels\": \"暂无可用模型。请先配置模型。\",\n  \"market.install.config.description\": \"请为该智能体及其子智能体配置以下必填字段。\",\n  \"market.install.config.fields\": \"个字段\",\n  \"market.install.config.noFields\": \"无需配置字段。\",\n  \"market.install.config.basicFields\": \"基础配置\",\n  \"market.install.agent.defaultName\": \"智能体\",\n  \"market.install.agent.main\": \"主\",\n  \"market.install.config.placeholder\": \"输入配置值\",\n  \"market.install.config.placeholderWithParam\": \"输入 {{param}}\",\n  \"market.install.mcp.description\": \"该智能体需要以下 MCP 服务器。请安装或配置它们。\",\n  \"market.install.mcp.installed\": \"已安装\",\n  \"market.install.mcp.notInstalled\": \"未安装\",\n  \"market.install.mcp.urlPlaceholder\": \"输入 MCP 服务器地址\",\n  \"market.install.mcp.install\": \"安装\",\n  \"market.install.step.missingTools\": \"缺失工具\",\n  \"market.install.tools.missingDescTitle\": \"导入的智能体使用了当前系统中不存在的工具\",\n  \"market.install.tools.missingDescBody\": \"请检查下方列表并优先安装或配置这些工具。如果直接继续安装，智能体可能无法正常工作，或部分能力不可用。\",\n  \"market.install.tools.loading\": \"正在加载工具列表...\",\n  \"market.install.tools.source\": \"来源\",\n  \"market.install.tools.usage\": \"用途\",\n  \"market.install.tools.usedBy\": \"被以下智能体使用\",\n  \"market.install.tools.missingHint\": \"如果在未安装或配置此工具的情况下继续，智能体在调用该工具时可能报错，或失去相关能力。\",\n  \"market.install.error.modelRequired\": \"请选择一个模型\",\n  \"market.install.error.allModelsRequired\": \"请为所有智能体选择模型\",\n  \"market.install.error.configRequired\": \"请填写所有必填字段\",\n  \"market.install.error.mcpUrlRequired\": \"MCP 地址为必填项\",\n  \"market.install.error.loadModels\": \"加载模型失败\",\n  \"market.install.error.checkMcp\": \"检查 MCP 服务器失败\",\n  \"market.install.error.mcpInstall\": \"安装 MCP 服务器失败\",\n  \"market.install.error.invalidData\": \"无效的智能体数据\",\n  \"market.install.error.installFailed\": \"安装智能体失败\",\n  \"market.install.error.noModelForRegeneration\": \"没有可用的模型用于名称重新生成\",\n  \"market.install.error.nameRegenerationFailed\": \"重新生成名称失败\",\n  \"market.install.error.nameRequired\": \"智能体名称为必填项\",\n  \"market.install.error.nameRequiredForAgent\": \"智能体 {agent} 的名称为必填项\",\n  \"market.install.checkingName\": \"正在检查智能体名称...\",\n  \"market.install.rename.warning\": \"智能体名称或显示名称与现有智能体冲突，请重命名以继续。\",\n  \"market.install.rename.conflictAgents\": \"冲突的智能体：\",\n  \"market.install.rename.name\": \"智能体名称\",\n  \"market.install.rename.regenerateWithLLM\": \"使用 LLM 重新生成\",\n  \"market.install.rename.regenerate\": \"重新生成\",\n  \"market.install.rename.model\": \"用于重新生成名称的模型\",\n  \"market.install.rename.modelPlaceholder\": \"选择一个模型\",\n  \"market.install.error.modelRequiredForRegeneration\": \"请先选择一个模型\",\n  \"market.install.rename.nameHint\": \"原始名称：{name}\",\n  \"market.install.rename.displayName\": \"显示名称\",\n  \"market.install.rename.displayNameHint\": \"原始名称：{name}\",\n  \"market.install.rename.note\": \"注意：如果您不重命名就继续，智能体将被创建但由于名称冲突会被标记为不可用。您可以在智能体列表中稍后重命名。\",\n  \"market.install.rename.oneClickDesc\": \"可手动修改名称，或一键重命名使用大模型为所有冲突智能体生成新名称。\",\n  \"market.install.rename.oneClick\": \"一键重命名\",\n  \"market.install.rename.success\": \"所有智能体名称冲突已解决。您可以继续下一步。\",\n  \"market.install.rename.partialSuccess\": \"部分智能体已成功重命名。\",\n  \"market.install.rename.agentResolved\": \"此智能体的名称冲突已解决。\",\n  \"market.install.success.mcpInstalled\": \"MCP 服务器安装成功\",\n  \"market.install.success.nameRegenerated\": \"智能体名称重新生成成功\",\n  \"market.install.success.nameRegeneratedAndResolved\": \"智能体名称重新生成成功，且所有冲突已解决\",\n  \"market.install.info.notImplemented\": \"安装功能将在下一阶段实现\",\n  \"market.install.success\": \"智能体安装成功！\",\n  \"market.install.success.viewSpace.prefix\": \"智能体安装成功，您可\",\n  \"market.install.success.viewSpace.link\": \"前往智能体空间\",\n  \"market.install.success.viewSpace.suffix\": \"查看与使用\",\n  \"market.install.warning.title\": \"智能体可能不可用\",\n  \"market.install.warning.description\": \"以下问题可能导致智能体不可用：\",\n  \"market.install.warning.nameConflict\": \"存在未解决的名称冲突\",\n  \"market.install.warning.mcpNotInstalled\": \"存在未安装的MCP服务\",\n  \"market.install.warning.question\": \"您确定要继续安装吗？\",\n  \"market.install.warning.continue\": \"仍要继续\",\n  \"market.install.warning.goBack\": \"返回配置\",\n  \"market.error.fetchDetailFailed\": \"加载智能体详情失败\",\n  \"market.error.retry\": \"重试\",\n  \"market.error.timeout.title\": \"请求超时\",\n  \"market.error.timeout.description\": \"市场服务器响应时间过长。请检查您的网络连接并重试。\",\n  \"market.error.timeout.help\": \"如果问题持续存在，市场服务器可能正在经历高流量。\",\n  \"market.error.network.title\": \"网络错误\",\n  \"market.error.network.description\": \"无法连接到市场服务器。请检查您的互联网连接。\",\n  \"market.error.network.help\": \"检查您的防火墙设置或联系您的网络管理员。\",\n  \"market.error.server.title\": \"服务器错误\",\n  \"market.error.server.description\": \"市场服务器遇到错误。我们的团队已收到通知。请稍后重试。\",\n  \"market.error.unknown.title\": \"出现问题\",\n  \"market.error.unknown.description\": \"发生意外错误。请重试。\",\n\n  \"users.comingSoon.title\": \"用户管理即将推出\",\n  \"users.comingSoon.description\": \"为管理员提供全面的用户管理系统。控制组织内的访问权限、角色和权限。\",\n  \"users.comingSoon.feature1\": \"管理用户账户和角色\",\n  \"users.comingSoon.feature2\": \"配置精细化权限\",\n  \"users.comingSoon.feature3\": \"监控用户活动和使用情况\",\n  \"users.comingSoon.badge\": \"即将推出\",\n\n  \"mcpTools.comingSoon.title\": \"MCP 工具管理即将推出\",\n  \"mcpTools.comingSoon.description\": \"集中管理 MCP 服务器与工具，在一个页面中完成连接配置、工具同步与健康状态监控。\",\n  \"mcpTools.comingSoon.feature1\": \"注册并管理多个 MCP 服务器\",\n  \"mcpTools.comingSoon.feature2\": \"同步、查看和组织 MCP 工具列表\",\n  \"mcpTools.comingSoon.feature3\": \"监控 MCP 连接状态和使用情况\",\n  \"mcpTools.comingSoon.badge\": \"即将推出\",\n\n  \"monitoring.comingSoon.title\": \"监控与运维中心即将推出\",\n  \"monitoring.comingSoon.description\": \"面向智能体的统一监控与运维中心，用于实时跟踪健康状态、性能指标与异常事件。\",\n  \"monitoring.comingSoon.feature1\": \"监控智能体健康状态、延迟与错误率\",\n  \"monitoring.comingSoon.feature2\": \"查看并筛选智能体运行日志和历史任务\",\n  \"monitoring.comingSoon.feature3\": \"配置告警策略与关键事件的运维操作\",\n  \"monitoring.comingSoon.badge\": \"即将推出\",\n\n  \"common.loading\": \"加载中\",\n  \"common.save\": \"保存\",\n  \"common.cancel\": \"取消\",\n  \"common.confirm\": \"确定\",\n  \"common.copy\": \"复制\",\n  \"common.copied\": \"已复制\",\n  \"common.enabled\": \"已启用\",\n  \"common.disabled\": \"已禁用\",\n  \"common.yes\": \"是\",\n  \"common.no\": \"否\",\n  \"common.none\": \"无\",\n  \"common.required\": \"必填\",\n  \"common.refresh\": \"刷新\",\n  \"common.unknown\": \"未知\",\n  \"common.unknownError\": \"未知错误\",\n  \"common.retryLater\": \"请稍后重试\",\n  \"common.cannotBeUndone\": \"该操作不可恢复\",\n  \"common.back\": \"返回\",\n  \"common.edit\": \"编辑\",\n  \"common.fullscreen\": \"全屏\",\n  \"common.delete\": \"删除\",\n  \"common.button.cancel\": \"取消\",\n  \"common.button.save\": \"保存\",\n  \"common.button.saving\": \"保存中\",\n  \"common.notice\": \"注意\",\n  \"common.button.close\": \"关闭\",\n  \"common.button.editConfig\": \"修改配置\",\n  \"common.message.refreshSuccess\": \"刷新成功\",\n  \"common.message.refreshFailed\": \"刷新失败\",\n  \"common.toBeConfigured\": \"待配置\",\n  \"common.source\": \"来源\",\n  \"common.category\": \"分类\",\n  \"common.usage\": \"用途\",\n  \"common.output\": \"输出\",\n  \"common.name\": \"名称\",\n  \"common.type\": \"类型\",\n  \"common.status\": \"状态\",\n  \"common.description\": \"描述\",\n  \"common.actions\": \"操作\",\n  \"common.created\": \"创建时间\",\n  \"common.updated\": \"最近更新时间\",\n  \"common.email\": \"邮箱\",\n  \"common.toolSource.local\": \"本地工具\",\n  \"common.toolSource.mcp\": \"MCP工具\",\n  \"common.toolSource.langchain\": \"LangChain工具\",\n  \"common.agentType.single\": \"单智能体\",\n  \"common.agentType.multi\": \"多智能体\",\n\n  \"user.role.superAdmin\": \"超级管理员\",\n  \"user.role.admin\": \"管理员\",\n  \"user.role.dev\": \"开发者\",\n  \"user.role.user\": \"普通用户\",\n\n  \"profile.title\": \"个人信息\",\n  \"profile.subtitle\": \"管理您的账户设置和偏好\",\n  \"profile.profileInfo\": \"基础信息\",\n  \"profile.securitySettings\": \"安全设置\",\n  \"profile.role\": \"角色\",\n  \"profile.changePassword\": \"修改密码\",\n  \"profile.editProfile\": \"编辑个人信息\",\n  \"profile.editProfileDesc\": \"更新您的账户信息\",\n  \"profile.displayName\": \"显示名称\",\n  \"profile.enterDisplayName\": \"请输入您的显示名称\",\n  \"profile.passwordDesc\": \"更新密码以保护账户安全\",\n  \"profile.updateSuccess\": \"个人信息更新成功\",\n  \"profile.passwordAlertTitle\": \"提示\",\n  \"profile.passwordAlertDesc\": \"密码修改功能即将开放。\",\n  \"profile.passwordUpdateSuccess\": \"密码修改成功\",\n  \"profile.currentPassword\": \"当前密码\",\n  \"profile.newPassword\": \"新密码\",\n  \"profile.enterNewPassword\": \"请输入新密码\",\n  \"profile.deleteAccount\": \"删除账户\",\n  \"profile.deleteAccountDesc\": \"永久删除您的账户及所有相关数据\",\n  \"profile.deleteWarningTitle\": \"此操作无法撤销！\",\n  \"profile.deleteWarning1\": \"您的账户将被永久删除\",\n  \"profile.deleteWarning2\": \"所有对话和数据将被移除\",\n  \"profile.deleteWarning3\": \"此操作无法恢复\",\n  \"profile.adminRestrictionTitle\": \"管理员限制\",\n  \"profile.generateAkSk\": \"生成 API 密钥\",\n  \"profile.generateAkSkDesc\": \"生成您的 API 密钥\",\n  \"profile.generateAkSkConfirmTitle\": \"生成新的 API 密钥\",\n  \"profile.generateAkSkConfirmContent\": \"您已有 API 密钥，生成新的将覆盖现有的密钥。\",\n  \"profile.generateAkSkSuccess\": \"API 密钥生成成功\",\n  \"profile.generateAkSkFailed\": \"API 密钥生成失败\",\n  \"profile.accessKey\": \"API 密钥\",\n  \"profile.copyAkSuccess\": \"API 密钥已复制\",\n  \"profile.copyAkFailed\": \"复制 API 密钥失败\",\n  \"profile.deleteAkSkConfirmTitle\": \"删除 API 密钥\",\n  \"profile.deleteAkSkConfirmContent\": \"您确定要删除 API 密钥吗？\",\n  \"profile.deleteAkSkSuccess\": \"API 密钥删除成功\",\n  \"profile.deleteAkSkFailed\": \"删除 API 密钥失败\",\n\n  \"agent.version.manage\": \"版本管理\",\n  \"agent.version.currentVersion\": \"当前版本\",\n  \"agent.version.totalVersions\": \"共 {{count}} 个版本\",\n  \"agent.version.count\": \"{{count}} 个版本\",\n  \"agent.version.compare\": \"版本对比\",\n  \"agent.version.publish\": \"发布\",\n  \"agent.version.status.disabled\": \"已禁用\",\n  \"agent.version.status.published\": \"已发布\",\n  \"agent.version.status.archived\": \"已归档\",\n  \"agent.version.status.unknown\": \"未知\",\n  \"agent.version.releaseNote\": \"发布说明\",\n  \"agent.version.publishSuccess\": \"版本发布成功\",\n  \"agent.version.publishFailed\": \"版本发布失败\",\n  \"agent.version.versionName\": \"版本名称\",\n  \"agent.version.versionNameRequired\": \"请输入版本名称\",\n  \"agent.version.versionNameDuplicate\": \"该版本名称已存在，请使用其他名称\",\n  \"agent.version.versionNamePlaceholder\": \"请输入版本名称\",\n  \"agent.version.releaseNotePlaceholder\": \"请输入发布说明（可选）\",\n  \"agent.version.viewDetail\": \"查看详情\",\n  \"agent.version.duplicate\": \"复制版本\",\n  \"agent.version.archive\": \"归档\",\n  \"agent.version.viewConfiguration\": \"查看配置\",\n  \"agent.version.viewPrompt\": \"查看提示词\",\n  \"agent.version.viewTools\": \"查看工具\",\n  \"agent.version.rollback\": \"回滚\",\n  \"agent.version.updateSuccess\": \"版本更新成功\",\n  \"agent.version.updateFailed\": \"版本更新失败\",\n  \"agent.version.noVersions\": \"暂无版本\",\n  \"agent.version.createFirstVersion\": \"创建第一个版本\",\n  \"agent.version.configuration\": \"配置\",\n  \"agent.version.agentName\": \"智能体名称\",\n  \"agent.version.modelName\": \"模型名称\",\n  \"agent.version.tools\": \"工具\",\n  \"agent.version.relatedAgents\": \"关联智能体\",\n  \"agent.version.field.name\": \"名称\",\n  \"agent.version.field.modelName\": \"模型\",\n  \"agent.version.field.maxSteps\": \"最大步数\",\n  \"agent.version.field.description\": \"描述\",\n  \"agent.version.field.dutyPrompt\": \"职责提示词\",\n  \"agent.version.field.tools\": \"工具\",\n  \"agent.version.field.subAgents\": \"子智能体\",\n  \"agent.version.rollbackSuccess\": \"版本回滚成功\",\n  \"agent.version.rollbackError\": \"版本回滚失败\",\n  \"agent.version.rollbackCompareTitle\": \"回滚版本对比\",\n  \"agent.version.confirmRollback\": \"确认回滚\",\n  \"agent.version.rollbackNote\": \"从 V{{fromVersion}} 回滚到 V{{toVersion}}\",\n  \"agent.version.loadingComparison\": \"正在加载对比...\",\n  \"agent.version.compareError\": \"加载版本对比失败\",\n  \"agent.version.compareFailed\": \"版本对比失败\",\n  \"agent.version.rollbackWarningTitle\": \"警告\",\n  \"agent.version.rollbackWarningContent\": \"您即将回滚到 {{versionName}}。这将基于所选版本创建一个新版本。\",\n  \"agent.version.draftVersion\": \"草稿\",\n  \"agent.version.restore\": \"恢复\",\n  \"agent.version.deleteSuccess\": \"版本删除成功\",\n  \"agent.version.deleteError\": \"删除版本失败\",\n  \"agent.version.deleteConfirmTitle\": \"删除版本\",\n  \"agent.version.deleteConfirmContent\": \"确定要删除版本 \\\"{{versionName}}\\\" 吗？\",\n  \"agent.version.deleteWarning\": \"此操作无法撤销。\",\n  \"agent.version.statusUpdateSuccess\": \"版本状态更新成功\",\n  \"agent.version.statusUpdateError\": \"更新版本状态失败\",\n  \"agent.version.needTwoVersions\": \"至少需要两个版本才能进行对比\",\n  \"agent.version.selectDifferentVersions\": \"请选择两个不同的版本进行对比\",\n  \"agent.error.agentNotFound\": \"未找到智能体\",\n\n  \"errorCode.101001\": \"发生未知错误，请稍后重试\",\n  \"errorCode.101002\": \"服务暂时不可用，请稍后重试\",\n  \"errorCode.101003\": \"数据库操作失败，请稍后重试\",\n  \"errorCode.101004\": \"操作超时，请稍后重试\",\n  \"errorCode.101005\": \"服务器内部错误，请稍后重试\",\n\n  \"errorCode.102001\": \"您没有执行此操作的权限\",\n  \"errorCode.102002\": \"您的登录已过期，请重新登录\",\n  \"errorCode.102003\": \"登录令牌无效，请重新登录\",\n  \"errorCode.102004\": \"请求签名验证失败\",\n  \"errorCode.102005\": \"禁止访问\",\n\n  \"errorCode.103001\": \"用户不存在\",\n  \"errorCode.103002\": \"用户注册失败，请稍后重试\",\n  \"errorCode.103003\": \"用户已存在\",\n  \"errorCode.103004\": \"用户名或密码错误\",\n\n  \"errorCode.104001\": \"租户不存在\",\n  \"errorCode.104002\": \"租户已被禁用\",\n  \"errorCode.104003\": \"租户配置错误\",\n\n  \"errorCode.105001\": \"智能体不存在\",\n  \"errorCode.105002\": \"运行智能体失败，请稍后重试\",\n  \"errorCode.105003\": \"智能体名称已存在\",\n  \"errorCode.105004\": \"智能体已被禁用\",\n  \"errorCode.105005\": \"智能体版本不存在\",\n\n  \"errorCode.106001\": \"工具不存在\",\n  \"errorCode.106002\": \"工具执行失败\",\n  \"errorCode.106003\": \"工具配置无效\",\n  \"errorCode.106101\": \"连接MCP服务失败\",\n  \"errorCode.106102\": \"MCP名称包含非法字符\",\n  \"errorCode.106103\": \"MCP容器操作失败\",\n\n  \"errorCode.107001\": \"对话不存在\",\n  \"errorCode.107002\": \"保存对话失败\",\n  \"errorCode.107003\": \"消息不存在\",\n  \"errorCode.107004\": \"生成对话标题失败\",\n\n  \"errorCode.108001\": \"记忆不存在\",\n  \"errorCode.108002\": \"准备记忆失败\",\n  \"errorCode.108003\": \"记忆配置无效\",\n\n  \"errorCode.109001\": \"知识库不存在\",\n  \"errorCode.109002\": \"同步知识库失败\",\n  \"errorCode.109003\": \"搜索索引不存在\",\n  \"errorCode.109004\": \"知识搜索失败\",\n  \"errorCode.109005\": \"上传知识失败\",\n\n  \"errorCode.110001\": \"模型不存在\",\n  \"errorCode.110002\": \"模型配置无效\",\n  \"errorCode.110003\": \"模型健康检查失败\",\n  \"errorCode.110004\": \"模型提供商错误\",\n\n  \"errorCode.111001\": \"语音服务错误\",\n  \"errorCode.111002\": \"连接语音识别服务失败\",\n  \"errorCode.111003\": \"连接语音合成服务失败\",\n  \"errorCode.111004\": \"语音配置无效\",\n\n  \"errorCode.112001\": \"文件不存在\",\n  \"errorCode.112002\": \"文件上传失败\",\n  \"errorCode.112003\": \"文件大小超出限制\",\n  \"errorCode.112004\": \"不支持的文件类型\",\n  \"errorCode.112005\": \"文件预处理失败\",\n\n  \"errorCode.113001\": \"邀请码不存在\",\n  \"errorCode.113002\": \"邀请码无效\",\n  \"errorCode.113003\": \"邀请码已过期\",\n\n  \"errorCode.114001\": \"群组不存在\",\n  \"errorCode.114002\": \"群组已存在\",\n  \"errorCode.114003\": \"成员不在群组中\",\n\n  \"errorCode.115001\": \"数据处理失败\",\n  \"errorCode.115002\": \"数据解析失败\",\n\n  \"errorCode.130101\": \"连接DataMate服务失败\",\n  \"errorCode.130201\": \"Dify服务错误\",\n  \"errorCode.130202\": \"Dify配置无效，请检查URL和API Key格式\",\n  \"errorCode.130203\": \"连接Dify失败，请检查网络和URL\",\n  \"errorCode.130204\": \"Dify认证失败，请检查API Key\",\n  \"errorCode.130205\": \"Dify请求频率超限，请稍后重试\",\n  \"errorCode.130206\": \"Dify响应解析失败，请检查API URL\",\n  \"errorCode.130301\": \"连接ME服务失败\",\n\n  \"errorCode.000101\": \"验证失败\",\n  \"errorCode.000102\": \"参数无效\",\n  \"errorCode.000103\": \"缺少必填字段\",\n\n  \"errorCode.000201\": \"您没有执行此操作的权限\",\n  \"errorCode.000202\": \"禁止访问\",\n  \"errorCode.000203\": \"您的登录已过期，请重新登录\",\n  \"errorCode.000204\": \"登录令牌无效，请重新登录\",\n\n  \"errorCode.000301\": \"外部服务错误\",\n  \"errorCode.000302\": \"请求过于频繁，请稍后重试\",\n\n  \"errorCode.000401\": \"文件不存在\",\n  \"errorCode.000402\": \"文件上传失败\",\n  \"errorCode.000403\": \"文件大小超出限制\",\n  \"errorCode.000404\": \"不支持的文件类型\",\n  \"errorCode.000405\": \"文件预处理失败\",\n\n  \"errorCode.000501\": \"资源不存在\",\n  \"errorCode.000502\": \"资源已存在\",\n  \"errorCode.000503\": \"资源已被禁用\",\n\n  \"errorCode.010101\": \"对话不存在\",\n  \"errorCode.010102\": \"消息不存在\",\n  \"errorCode.010103\": \"保存对话失败\",\n  \"errorCode.010104\": \"生成对话标题失败\",\n\n  \"errorCode.020101\": \"配置无效\",\n  \"errorCode.020102\": \"同步配置失败\",\n\n  \"errorCode.030101\": \"智能体不存在\",\n  \"errorCode.030102\": \"智能体已被禁用\",\n  \"errorCode.030103\": \"运行智能体失败，请稍后重试\",\n  \"errorCode.030104\": \"智能体名称已存在\",\n  \"errorCode.030105\": \"智能体版本不存在\",\n\n  \"errorCode.040101\": \"市场中智能体不存在\",\n\n  \"errorCode.050101\": \"智能体配置无效\",\n  \"errorCode.050102\": \"提示词无效\",\n\n  \"errorCode.060101\": \"知识库不存在\",\n  \"errorCode.060102\": \"上传知识失败\",\n  \"errorCode.060103\": \"同步知识库失败\",\n  \"errorCode.060104\": \"搜索索引不存在\",\n  \"errorCode.060105\": \"知识搜索失败\",\n\n  \"errorCode.070101\": \"工具不存在\",\n  \"errorCode.070102\": \"工具执行失败\",\n  \"errorCode.070103\": \"工具配置无效\",\n  \"errorCode.070201\": \"连接MCP服务失败\",\n  \"errorCode.070202\": \"MCP容器操作失败\",\n  \"errorCode.070301\": \"MCP名称包含非法字符\",\n\n  \"errorCode.080101\": \"指标查询失败\",\n  \"errorCode.080201\": \"告警配置无效\",\n\n  \"errorCode.090101\": \"模型不存在\",\n  \"errorCode.090102\": \"模型配置无效\",\n  \"errorCode.090103\": \"模型健康检查失败\",\n  \"errorCode.090104\": \"模型提供商错误\",\n  \"errorCode.090105\": \"模型不可用，请检查模型状态后重试\",\n  \"errorCode.090201\": \"模型 API 密钥无效或已过期，请检查 API 密钥配置\",\n  \"errorCode.090202\": \"模型 API 密钥没有权限，请检查 API 密钥权限\",\n  \"errorCode.090203\": \"请求频率超限，请稍后重试\",\n  \"errorCode.090204\": \"模型服务暂时不可用，请稍后重试\",\n  \"errorCode.090205\": \"连接模型服务失败，请检查网络和模型配置\",\n\n  \"errorCode.100101\": \"记忆不存在\",\n  \"errorCode.100102\": \"准备记忆失败\",\n  \"errorCode.100103\": \"记忆配置无效\",\n\n  \"errorCode.110101\": \"用户不存在\",\n  \"errorCode.110102\": \"更新用户信息失败\",\n  \"errorCode.110103\": \"用户已存在\",\n  \"errorCode.110104\": \"用户名或密码错误\",\n\n  \"errorCode.120101\": \"租户不存在\",\n  \"errorCode.120102\": \"租户已被禁用\",\n  \"errorCode.120103\": \"租户配置错误\",\n  \"errorCode.120104\": \"租户资源超限\",\n\n  \"errorCode.140101\": \"北向接口请求失败\",\n  \"errorCode.140201\": \"北向接口配置无效\",\n\n  \"errorCode.150101\": \"数据处理失败\",\n  \"errorCode.150102\": \"数据解析失败\",\n\n  \"errorCode.990101\": \"发生未知错误，请稍后重试\",\n  \"errorCode.990102\": \"服务暂时不可用，请稍后重试\",\n  \"errorCode.990103\": \"数据库操作失败，请稍后重试\",\n  \"errorCode.990104\": \"操作超时，请稍后重试\",\n  \"errorCode.990105\": \"服务器内部错误，请稍后重试\",\n  \"errorCode.990201\": \"配置不存在\",\n  \"errorCode.990202\": \"配置更新失败\"\n}\n"
  },
  {
    "path": "frontend/server.js",
    "content": "const { createServer } = require(\"http\");\nconst http = require(\"http\");\nconst https = require(\"https\");\nconst { parse } = require(\"url\");\nconst next = require(\"next\");\nconst { createProxyServer } = require(\"http-proxy\");\nconst cookie = require(\"cookie\");\nconst path = require(\"path\");\n\n// Load environment variables from .env file in parent directory (project root)\n// In container environments, env vars are injected directly by Docker, so .env file may not exist\n// Using optional: true to avoid errors if .env file is not found\nrequire(\"dotenv\").config({\n  path: path.resolve(__dirname, \"../.env\"),\n  override: false, // Don't override existing environment variables (important for Docker)\n});\n\nconst dev = process.env.NODE_ENV !== \"production\";\nconst app = next({\n  dev,\n});\nconst handle = app.getRequestHandler();\n\n// Backend addresses\nconst HTTP_BACKEND = process.env.HTTP_BACKEND || \"http://localhost:5010\"; // config\nconst WS_BACKEND = process.env.WS_BACKEND || \"ws://localhost:5014\"; // runtime\nconst RUNTIME_HTTP_BACKEND =\n  process.env.RUNTIME_HTTP_BACKEND || \"http://localhost:5014\"; // runtime\nconst MINIO_BACKEND = process.env.MINIO_ENDPOINT || \"http://localhost:9010\";\nconst MARKET_BACKEND =\n  process.env.MARKET_BACKEND || \"https://market.nexent.tech\"; // market\nconst PORT = 3000;\n\nconst proxy = createProxyServer();\n\n// ============================================================================\n// Cookie configuration\n// ============================================================================\nconst COOKIE_NAMES = {\n  ACCESS_TOKEN: \"nexent_access_token\",\n  REFRESH_TOKEN: \"nexent_refresh_token\",\n  EXPIRES_AT: \"nexent_token_expires_at\",\n};\n\nconst isProduction = process.env.NODE_ENV === \"production\";\n\nfunction buildCookieOptions(httpOnly) {\n  return {\n    httpOnly,\n    secure: false, // cookie can be send through http\n    sameSite: \"lax\",\n    path: \"/\",\n  };\n}\n\nfunction setAuthCookies(res, session) {\n  const cookies = [];\n\n  const expiresInSeconds = session.expires_in_seconds || 3600;\n  \n  const refreshTokenMaxAge = expiresInSeconds * 10;\n\n  if (session.access_token) {\n    cookies.push(\n      cookie.serialize(COOKIE_NAMES.ACCESS_TOKEN, session.access_token, {\n        ...buildCookieOptions(true),\n        maxAge: expiresInSeconds, // Use backend-provided value\n      })\n    );\n  }\n\n  if (session.refresh_token) {\n    cookies.push(\n      cookie.serialize(COOKIE_NAMES.REFRESH_TOKEN, session.refresh_token, {\n        ...buildCookieOptions(true),\n        maxAge: refreshTokenMaxAge, // 10x access token lifetime\n      })\n    );\n  }\n\n  if (session.expires_at) {\n    cookies.push(\n      cookie.serialize(\n        COOKIE_NAMES.EXPIRES_AT,\n        String(session.expires_at),\n        {\n          ...buildCookieOptions(false), // readable by frontend JS\n          maxAge: expiresInSeconds, // Same as access token\n        }\n      )\n    );\n  }\n\n  if (cookies.length > 0) {\n    res.setHeader(\"Set-Cookie\", cookies);\n  }\n}\n\nfunction clearAuthCookies(res) {\n  const expired = { maxAge: 0, path: \"/\" };\n  res.setHeader(\"Set-Cookie\", [\n    cookie.serialize(COOKIE_NAMES.ACCESS_TOKEN, \"\", { ...expired, httpOnly: true }),\n    cookie.serialize(COOKIE_NAMES.REFRESH_TOKEN, \"\", { ...expired, httpOnly: true }),\n    cookie.serialize(COOKIE_NAMES.EXPIRES_AT, \"\", expired),\n  ]);\n}\n\nfunction parseCookies(req) {\n  return cookie.parse(req.headers.cookie || \"\");\n}\n\n// ============================================================================\n// Auth endpoint interception — manually forward and intercept tokens\n// ============================================================================\nconst AUTH_INTERCEPT_ENDPOINTS = new Set([\n  \"/api/user/signin\",\n  \"/api/user/signup\",\n  \"/api/user/refresh_token\",\n  \"/api/user/logout\",\n  \"/api/user/revoke\",\n]);\n\nfunction collectRequestBody(req) {\n  return new Promise((resolve, reject) => {\n    const chunks = [];\n    req.on(\"data\", (chunk) => chunks.push(chunk));\n    req.on(\"end\", () => resolve(Buffer.concat(chunks)));\n    req.on(\"error\", reject);\n  });\n}\n\n/**\n * For the refresh_token endpoint, inject the refresh_token from cookie\n * into the request body so the backend can process it normally.\n */\nfunction prepareAuthRequestBody(pathname, body, cookies) {\n  if (pathname === \"/api/user/refresh_token\" && cookies[COOKIE_NAMES.REFRESH_TOKEN]) {\n    try {\n      const parsed = body.length > 0 ? JSON.parse(body.toString()) : {};\n      parsed.refresh_token = cookies[COOKIE_NAMES.REFRESH_TOKEN];\n      return Buffer.from(JSON.stringify(parsed));\n    } catch {\n      return body;\n    }\n  }\n  return body;\n}\n\nfunction forwardAuthRequest(req, res, targetUrl) {\n  const parsedTarget = new URL(targetUrl);\n  const transport = parsedTarget.protocol === \"https:\" ? https : http;\n  const cookies = parseCookies(req);\n\n  collectRequestBody(req).then((rawBody) => {\n    const body = prepareAuthRequestBody(req.parsedPathname, rawBody, cookies);\n\n    const forwardHeaders = { ...req.headers, host: parsedTarget.host };\n\n    // Inject access_token from cookie as Authorization header for the backend\n    if (cookies[COOKIE_NAMES.ACCESS_TOKEN] && !forwardHeaders[\"authorization\"]) {\n      forwardHeaders[\"authorization\"] = `Bearer ${cookies[COOKIE_NAMES.ACCESS_TOKEN]}`;\n    }\n\n    // Update content-length if body was modified\n    if (body.length !== rawBody.length) {\n      forwardHeaders[\"content-length\"] = String(body.length);\n    }\n\n    const options = {\n      hostname: parsedTarget.hostname,\n      port: parsedTarget.port,\n      path: req.url,\n      method: req.method,\n      headers: forwardHeaders,\n    };\n\n    const proxyReq = transport.request(options, (proxyRes) => {\n      const responseChunks = [];\n      proxyRes.on(\"data\", (chunk) => responseChunks.push(chunk));\n      proxyRes.on(\"end\", () => {\n        const responseBody = Buffer.concat(responseChunks);\n        let finalBody = responseBody;\n\n        try {\n          const contentType = proxyRes.headers[\"content-type\"] || \"\";\n          if (contentType.includes(\"application/json\") && responseBody.length > 0) {\n            const data = JSON.parse(responseBody.toString());\n\n            const isLogout = req.parsedPathname === \"/api/user/logout\";\n            const isRevoke = req.parsedPathname === \"/api/user/revoke\";\n\n            if (isLogout || isRevoke) {\n              clearAuthCookies(res);\n            } else if (data.data && data.data.session) {\n              // Extract tokens, set cookies, strip tokens from response\n              const session = data.data.session;\n              setAuthCookies(res, session);\n\n              // Remove sensitive tokens from the response body sent to browser\n              const sanitized = { ...data };\n              sanitized.data = { ...data.data };\n              sanitized.data.session = {\n                expires_at: session.expires_at,\n                expires_in_seconds: session.expires_in_seconds,\n              };\n              finalBody = Buffer.from(JSON.stringify(sanitized));\n            }\n          }\n        } catch {\n          // If JSON parsing fails, pass through unchanged\n        }\n\n        // Copy response headers, but override content-length and set cookies\n        const responseHeaders = { ...proxyRes.headers };\n        responseHeaders[\"content-length\"] = String(finalBody.length);\n        // Merge Set-Cookie: proxyRes cookies + our auth cookies\n        const existingSetCookie = res.getHeader(\"Set-Cookie\") || [];\n        const upstreamSetCookie = proxyRes.headers[\"set-cookie\"] || [];\n        const mergedCookies = [\n          ...(Array.isArray(existingSetCookie) ? existingSetCookie : [existingSetCookie]),\n          ...(Array.isArray(upstreamSetCookie) ? upstreamSetCookie : [upstreamSetCookie]),\n        ].filter(Boolean);\n\n        delete responseHeaders[\"set-cookie\"];\n        if (mergedCookies.length > 0) {\n          responseHeaders[\"set-cookie\"] = mergedCookies;\n        }\n\n        res.writeHead(proxyRes.statusCode, responseHeaders);\n        res.end(finalBody);\n      });\n    });\n\n    proxyReq.on(\"error\", (err) => {\n      console.error(\"[Auth Proxy] Forward error:\", err.message);\n      if (!res.headersSent) {\n        res.writeHead(502, { \"Content-Type\": \"application/json\" });\n        res.end(JSON.stringify({ detail: \"Backend unavailable\" }));\n      }\n    });\n\n    proxyReq.write(body);\n    proxyReq.end();\n  }).catch((err) => {\n    console.error(\"[Auth Proxy] Body read error:\", err.message);\n    if (!res.headersSent) {\n      res.writeHead(500, { \"Content-Type\": \"application/json\" });\n      res.end(JSON.stringify({ detail: \"Internal proxy error\" }));\n    }\n  });\n}\n\n// ============================================================================\n// Cookie-to-Header injection for regular proxy requests\n// ============================================================================\nproxy.on(\"proxyReq\", (proxyReq, req) => {\n  const cookies = parseCookies(req);\n  if (cookies[COOKIE_NAMES.ACCESS_TOKEN] && !proxyReq.getHeader(\"authorization\")) {\n    proxyReq.setHeader(\"Authorization\", `Bearer ${cookies[COOKIE_NAMES.ACCESS_TOKEN]}`);\n  }\n});\n\n// ============================================================================\n// Server setup\n// ============================================================================\napp.prepare().then(() => {\n  const server = createServer((req, res) => {\n    const parsedUrl = parse(req.url, true);\n    const { pathname } = parsedUrl;\n    req.parsedPathname = pathname;\n\n    // Proxy HTTP requests\n    if (pathname.includes(\"/attachments/\") && !pathname.startsWith(\"/api/\")) {\n      proxy.web(req, res, { target: MINIO_BACKEND });\n    } else if (pathname.startsWith(\"/api/\")) {\n      // Intercept auth endpoints to manage HttpOnly cookies\n      if (AUTH_INTERCEPT_ENDPOINTS.has(pathname)) {\n        const target = HTTP_BACKEND;\n        forwardAuthRequest(req, res, target);\n      } else if (pathname.startsWith(\"/api/market/\")) {\n        // Route market endpoints to market backend\n        req.url = req.url.replace(\"/api/market\", \"\");\n        proxy.web(req, res, { target: MARKET_BACKEND, changeOrigin: true });\n      } else {\n        // Route runtime endpoints to runtime backend, others to config backend\n        const isRuntime =\n          pathname.startsWith(\"/api/agent/run\") ||\n          pathname.startsWith(\"/api/agent/stop\") ||\n          pathname.startsWith(\"/api/conversation/\") ||\n          pathname.startsWith(\"/api/memory/\") ||\n          pathname.startsWith(\"/api/file/storage\") ||\n          pathname.startsWith(\"/api/file/preprocess\");\n        const target = isRuntime ? RUNTIME_HTTP_BACKEND : HTTP_BACKEND;\n        proxy.web(req, res, { target, changeOrigin: true });\n      }\n    } else {\n      // Let Next.js handle the request\n      handle(req, res, parsedUrl);\n    }\n  });\n\n  // Proxy WebSocket upgrade requests\n  server.on(\"upgrade\", (req, socket, head) => {\n    const { pathname } = parse(req.url);\n    if (pathname.startsWith(\"/api/voice/\")) {\n      proxy.ws(\n        req,\n        socket,\n        head,\n        { target: WS_BACKEND, changeOrigin: true },\n        (err) => {\n          console.error(\"[Proxy] WebSocket Proxy Error:\", err);\n          socket.destroy();\n        }\n      );\n    } else {\n      console.log(\n        `[Proxy] Ignoring non-voice WebSocket upgrade for: ${pathname}`\n      );\n    }\n  });\n\n  server.listen(PORT, (err) => {\n    if (err) throw err;\n    console.log(`> Ready on http://localhost:${PORT}`);\n    console.log(\"> --- Backend URL Configuration ---\");\n    console.log(`> HTTP Backend Target: ${HTTP_BACKEND}`);\n    console.log(`> WebSocket Backend Target: ${WS_BACKEND}`);\n    console.log(`> MinIO Backend Target: ${MINIO_BACKEND}`);\n    console.log(`> Market Backend Target: ${MARKET_BACKEND}`);\n    console.log(\"> ---------------------------------\");\n  });\n});\n"
  },
  {
    "path": "frontend/services/agentConfigService.ts",
    "content": "import { API_ENDPOINTS } from \"./api\";\n\nimport { NAME_CHECK_STATUS } from \"@/const/agentConfig\";\nimport { getAuthHeaders } from \"@/lib/auth\";\nimport { convertParamType } from \"@/lib/utils\";\nimport log from \"@/lib/logger\";\n\n/**\n * Parse tool inputs string to extract parameter information\n * @param inputsString The inputs string from tool data\n * @returns Parsed inputs object with parameter names and descriptions\n */\nexport const parseToolInputs = (inputsString: string): Record<string, any> => {\n  if (!inputsString || typeof inputsString !== \"string\") {\n    return {};\n  }\n\n  try {\n    return JSON.parse(inputsString);\n  } catch (error) {\n    try {\n      const normalizedString = inputsString\n        .replace(/\"/g, \"`\")\n        .replace(/'/g, '\"')\n        .replace(/\\bTrue\\b/g, \"true\")\n        .replace(/\\bFalse\\b/g, \"false\")\n        .replace(/\\bNone\\b/g, \"null\");\n      return JSON.parse(normalizedString);\n    } catch (error) {\n      log.warn(\"Failed to parse tool inputs:\", inputsString, error);\n      return {};\n    }\n  }\n};\n\n/**\n * Extract parameter names from parsed inputs\n * @param parsedInputs Parsed inputs object\n * @returns Array of parameter names\n */\nexport const extractParameterNames = (\n  parsedInputs: Record<string, any>\n): string[] => {\n  return Object.keys(parsedInputs);\n};\n\n/**\n * get tool list from backend\n * @returns converted tool list\n */\nexport const fetchTools = async () => {\n  try {\n    const response = await fetch(API_ENDPOINTS.tool.list, {\n      headers: getAuthHeaders(),\n    });\n    if (!response.ok) {\n      throw new Error(`Request failed: ${response.status}`);\n    }\n    const data = await response.json();\n\n    // convert backend Tool format to frontend Tool format\n    const formattedTools = data.map((tool: any) => ({\n      id: String(tool.tool_id),\n      name: tool.name,\n      origin_name: tool.origin_name,\n      description: tool.description,\n      source: tool.source,\n      is_available: tool.is_available,\n      create_time: tool.create_time,\n      usage: tool.usage, // New: handle usage field\n      category: tool.category,\n      inputs: tool.inputs,\n      initParams: tool.params.map((param: any) => {\n        return {\n          name: param.name,\n          type: convertParamType(param.type),\n          required: !param.optional,\n          value: param.default,\n          description: param.description,\n        };\n      }),\n    }));\n\n    return {\n      success: true,\n      data: formattedTools,\n      message: \"\",\n    };\n  } catch (error) {\n    log.error(\"Error fetching tool list:\", error);\n    return {\n      success: false,\n      data: [],\n      message: \"agentConfig.tools.fetchFailed\",\n    };\n  }\n};\n\n/**\n * get agent list from backend (basic info only)\n * @param tenantId optional tenant ID for filtering\n * @returns list of agents with basic info (id, name, description, is_available)\n */\nexport const fetchAgentList = async (tenantId?: string) => {\n  try {\n    const url = tenantId\n      ? `${API_ENDPOINTS.agent.list}?tenant_id=${encodeURIComponent(tenantId)}`\n      : API_ENDPOINTS.agent.list;\n    const response = await fetch(url, {\n      headers: getAuthHeaders(),\n    });\n    if (!response.ok) {\n      throw new Error(`Request failed: ${response.status}`);\n    }\n    const data = await response.json();\n\n    // convert backend data to frontend format (basic info only)\n    const formattedAgents = data.map((agent: any) => ({\n      id: String(agent.agent_id),\n      name: agent.name,\n      display_name: agent.display_name || agent.name,\n      description: agent.description,\n      author: agent.author,\n      model_id: agent.model_id,\n      model_name: agent.model_name,\n      model_display_name: agent.model_display_name,\n      is_available: agent.is_available,\n      unavailable_reasons: agent.unavailable_reasons || [],\n      group_ids: agent.group_ids || [],\n      is_new: agent.is_new || false,\n      permission: agent.permission,\n      is_published: agent.is_published,\n      current_version_no: agent.current_version_no,\n    }));\n\n    return {\n      success: true,\n      data: formattedAgents,\n      message: \"\",\n    };\n  } catch (error) {\n    log.error(\"Failed to fetch agent list:\", error);\n    return {\n      success: false,\n      data: [],\n      message: \"agentConfig.agents.listFetchFailed\",\n    };\n  }\n};\n\n/**\n * Fetch published agent list - gets agents with their current published version info\n * First queries all agents with version_no=0, then retrieves the published version snapshot\n * for each agent that has current_version_no > 0\n * @returns list of published agents with version information\n */\nexport const fetchPublishedAgentList = async () => {\n  try {\n    const response = await fetch(API_ENDPOINTS.agent.publishedList, {\n      headers: getAuthHeaders(),\n    });\n    if (!response.ok) {\n      throw new Error(`Request failed: ${response.status}`);\n    }\n    const data = await response.json();\n\n    // Convert backend data to frontend format\n    const formattedAgents = data.map((agent: any) => ({\n      id: String(agent.agent_id),\n      name: agent.name,\n      display_name: agent.display_name || agent.name,\n      description: agent.description,\n      author: agent.author,\n      model_id: agent.model_id,\n      model_name: agent.model_name,\n      model_display_name: agent.model_display_name,\n      is_available: agent.is_available,\n      unavailable_reasons: agent.unavailable_reasons || [],\n      group_ids: agent.group_ids || [],\n      is_new: agent.is_new || false,\n      permission: agent.permission,\n      published_version_no: agent.published_version_no,\n    }));\n\n    return {\n      success: true,\n      data: formattedAgents,\n      message: \"\",\n    };\n  } catch (error) {\n    log.error(\"Failed to fetch published agent list:\", error);\n    return {\n      success: false,\n      data: [],\n      message: \"agentConfig.agents.publishedListFetchFailed\",\n    };\n  }\n};\n\n/**\n * get creating sub agent id\n * @param mainAgentId current main agent id\n * @returns new sub agent id\n */\nexport const getCreatingSubAgentId = async () => {\n  try {\n    const response = await fetch(API_ENDPOINTS.agent.getCreatingSubAgentId, {\n      method: \"GET\",\n      headers: getAuthHeaders(),\n    });\n\n    if (!response.ok) {\n      throw new Error(`Request failed: ${response.status}`);\n    }\n\n    const data = await response.json();\n    return {\n      success: true,\n      data: {\n        agentId: data.agent_id,\n        name: data.name,\n        displayName: data.display_name,\n        description: data.description,\n        enabledToolIds: data.enable_tool_id_list || [],\n        modelName: data.model_name,\n        model_id: data.model_id,\n        maxSteps: data.max_steps,\n        businessDescription: data.business_description,\n        dutyPrompt: data.duty_prompt,\n        constraintPrompt: data.constraint_prompt,\n        fewShotsPrompt: data.few_shots_prompt,\n        sub_agent_id_list: data.sub_agent_id_list || [],\n      },\n      message: \"\",\n    };\n  } catch (error) {\n    log.error(\"Failed to get creating sub agent ID:\", error);\n    return {\n      success: false,\n      data: null,\n      message: \"agentConfig.agents.createSubAgentIdFailed\",\n    };\n  }\n};\n\n/**\n * update tool config\n * @param toolId tool id\n * @param agentId agent id\n * @param params tool params config\n * @param enable whether enable tool\n * @returns update result\n */\nexport const updateToolConfig = async (\n  toolId: number,\n  agentId: number,\n  params: Record<string, any>,\n  enable: boolean\n) => {\n  try {\n    const response = await fetch(API_ENDPOINTS.tool.update, {\n      method: \"POST\",\n      headers: getAuthHeaders(),\n      body: JSON.stringify({\n        tool_id: toolId,\n        agent_id: agentId,\n        params: params,\n        enabled: enable,\n      }),\n    });\n\n    if (!response.ok) {\n      throw new Error(`Request failed: ${response.status}`);\n    }\n\n    const data = await response.json();\n    return {\n      success: true,\n      data: data,\n      message: \"Tool configuration updated successfully\",\n    };\n  } catch (error) {\n    log.error(\"Failed to update tool configuration:\", error);\n    return {\n      success: false,\n      data: null,\n      message: \"Failed to update tool configuration, please try again later\",\n    };\n  }\n};\n\n/**\n * search tool config\n * @param toolId tool id\n * @param agentId agent id\n * @returns tool config info\n */\nexport const searchToolConfig = async (toolId: number, agentId: number) => {\n  try {\n    const response = await fetch(API_ENDPOINTS.tool.search, {\n      method: \"POST\",\n      headers: getAuthHeaders(),\n      body: JSON.stringify({\n        tool_id: toolId,\n        agent_id: agentId,\n      }),\n    });\n\n    if (!response.ok) {\n      throw new Error(`Request failed: ${response.status}`);\n    }\n\n    const data = await response.json();\n    return {\n      success: true,\n      data: {\n        params: data.params,\n        enabled: data.enabled,\n      },\n      message: \"\",\n    };\n  } catch (error) {\n    log.error(\"Failed to search tool configuration:\", error);\n    return {\n      success: false,\n      data: null,\n      message: \"Failed to search tool configuration, please try again later\",\n    };\n  }\n};\n\n/**\n * load last tool config\n * @param toolId tool id\n * @returns last tool config info\n */\nexport const loadLastToolConfig = async (toolId: number) => {\n  try {\n    const response = await fetch(API_ENDPOINTS.tool.loadConfig(toolId), {\n      method: \"GET\",\n      headers: getAuthHeaders(),\n    });\n\n    if (!response.ok) {\n      throw new Error(`Request failed: ${response.status}`);\n    }\n\n    const data = await response.json();\n    return {\n      success: true,\n      data: data.message, // Backend returns config in message field\n      message: \"\",\n    };\n  } catch (error) {\n    log.error(\"Failed to load last tool configuration:\", error);\n    return {\n      success: false,\n      data: null,\n      message: \"Failed to load last tool configuration, please try again later\",\n    };\n  }\n};\n\n/**\n * Update Agent information\n * @param agentId agent id\n * @param name agent name\n * @param description agent description\n * @param modelName model name\n * @param maxSteps maximum steps\n * @param provideRunSummary whether to provide run summary\n * @returns update result\n */\nexport interface UpdateAgentInfoPayload {\n  agent_id?: number;\n  name?: string;\n  display_name?: string;\n  description?: string;\n  author?: string;\n  duty_prompt?: string;\n  constraint_prompt?: string;\n  few_shots_prompt?: string;\n  group_ids?: number[];\n  model_name?: string;\n  model_id?: number;\n  max_steps?: number;\n  provide_run_summary?: boolean;\n  enabled?: boolean;\n  business_description?: string;\n  business_logic_model_name?: string;\n  business_logic_model_id?: number;\n  enabled_tool_ids?: number[];\n  related_agent_ids?: number[];\n  ingroup_permission?: string;\n}\n\nexport const updateAgentInfo = async (payload: UpdateAgentInfoPayload) => {\n  try {\n    const response = await fetch(API_ENDPOINTS.agent.update, {\n      method: \"POST\",\n      headers: getAuthHeaders(),\n      body: JSON.stringify(payload),\n    });\n\n    if (!response.ok) {\n      throw new Error(`Request failed: ${response.status}`);\n    }\n\n    const data = await response.json();\n    return {\n      success: true,\n      data: data,\n      message: \"Agent updated successfully\",\n    };\n  } catch (error) {\n    log.error(\"Failed to update Agent:\", error);\n    return {\n      success: false,\n      data: null,\n      message: \"Failed to update Agent, please try again later\",\n    };\n  }\n};\n\n/**\n * Delete Agent\n * @param agentId agent id\n * @param tenantId optional tenant ID for filtering (uses auth if not provided)\n * @returns delete result\n */\nexport const deleteAgent = async (agentId: number, tenantId?: string) => {\n  try {\n    const url = tenantId\n      ? `${API_ENDPOINTS.agent.delete}?tenant_id=${encodeURIComponent(tenantId)}`\n      : API_ENDPOINTS.agent.delete;\n    const response = await fetch(url, {\n      method: \"DELETE\",\n      headers: getAuthHeaders(),\n      body: JSON.stringify({ agent_id: agentId }),\n    });\n\n    if (!response.ok) {\n      throw new Error(`Request failed: ${response.status}`);\n    }\n\n    return {\n      success: true,\n      message: \"Agent deleted successfully\",\n    };\n  } catch (error) {\n    log.error(\"Failed to delete Agent:\", error);\n    return {\n      success: false,\n      message: \"Failed to delete Agent, please try again later\",\n    };\n  }\n};\n\n/**\n * export agent configuration\n * @param agentId agent id to export\n * @returns export result\n */\nexport const exportAgent = async (agentId: number) => {\n  try {\n    const response = await fetch(API_ENDPOINTS.agent.export, {\n      method: \"POST\",\n      headers: getAuthHeaders(),\n      body: JSON.stringify({ agent_id: agentId }),\n    });\n\n    if (!response.ok) {\n      throw new Error(`Request failed: ${response.status}`);\n    }\n\n    const data = await response.json();\n\n    if (data.code === 0) {\n      return {\n        success: true,\n        data: data.data,\n        message: data.message,\n      };\n    } else {\n      return {\n        success: false,\n        data: null,\n        message: data.message || \"Export failed\",\n      };\n    }\n  } catch (error) {\n    log.error(\"Failed to export Agent:\", error);\n    return {\n      success: false,\n      data: null,\n      message: \"Export failed, please try again later\",\n    };\n  }\n};\n\n/**\n * import agent configuration\n * @param agentId main agent id\n * @param agentInfo agent configuration data\n * @returns import result\n */\nexport const importAgent = async (\n  agentInfo: any,\n  options?: { forceImport?: boolean }\n) => {\n  try {\n    const response = await fetch(API_ENDPOINTS.agent.import, {\n      method: \"POST\",\n      headers: getAuthHeaders(),\n      body: JSON.stringify({\n        agent_info: agentInfo,\n        force_import: options?.forceImport ?? false,\n      }),\n    });\n\n    if (!response.ok) {\n      throw new Error(`Request failed: ${response.status}`);\n    }\n\n    const data = await response.json();\n    return {\n      success: true,\n      data: data,\n      message: \"Agent imported successfully\",\n    };\n  } catch (error) {\n    log.error(\"Failed to import Agent:\", error);\n    return {\n      success: false,\n      data: null,\n      message: \"Failed to import Agent, please try again later\",\n    };\n  }\n};\n\n/**\n * Clear NEW mark for an agent\n */\nexport const clearAgentNewMark = async (agentId: string | number) => {\n  try {\n    const url = typeof API_ENDPOINTS.agent.clearNew === 'function'\n      ? API_ENDPOINTS.agent.clearNew(agentId)\n      : `${API_ENDPOINTS.agent.clearNew}/${agentId}`;\n    const response = await fetch(url, {\n      method: \"PUT\",\n      headers: getAuthHeaders(),\n    });\n\n    if (!response.ok) {\n      throw new Error(`Request failed: ${response.status}`);\n    }\n\n    const data = await response.json();\n    return {\n      success: true,\n      data: data,\n      message: \"Agent NEW mark cleared successfully\",\n    };\n  } catch (error) {\n    log.error(\"Failed to clear agent NEW mark:\", error);\n    return {\n      success: false,\n      data: null,\n      message: \"Failed to clear agent NEW mark\",\n    };\n  }\n};\n\n/**\n * check agent name/display_name duplication\n * @param payload name/displayName to check\n */\nexport const checkAgentNameConflictBatch = async (payload: {\n  items: Array<{ name: string; display_name?: string; agent_id?: number }>;\n}) => {\n  try {\n    const response = await fetch(API_ENDPOINTS.agent.checkNameBatch, {\n      method: \"POST\",\n      headers: getAuthHeaders(),\n      body: JSON.stringify(payload),\n    });\n\n    if (!response.ok) {\n      throw new Error(`Request failed: ${response.status}`);\n    }\n\n    const data = await response.json();\n    return {\n      success: true,\n      data,\n      message: \"\",\n    };\n  } catch (error) {\n    log.error(\"Failed to check agent name conflict batch:\", error);\n    return {\n      success: false,\n      data: null,\n      message: \"agentConfig.agents.checkNameFailed\",\n    };\n  }\n};\n\nexport const regenerateAgentNameBatch = async (payload: {\n  items: Array<{\n    name: string;\n    display_name?: string;\n    task_description?: string;\n    language?: string;\n    agent_id?: number;\n  }>;\n}) => {\n  try {\n    const response = await fetch(API_ENDPOINTS.agent.regenerateNameBatch, {\n      method: \"POST\",\n      headers: getAuthHeaders(),\n      body: JSON.stringify(payload),\n    });\n\n    if (!response.ok) {\n      throw new Error(`Request failed: ${response.status}`);\n    }\n\n    const data = await response.json();\n    return {\n      success: true,\n      data,\n      message: \"\",\n    };\n  } catch (error) {\n    log.error(\"Failed to regenerate agent name batch:\", error);\n    return {\n      success: false,\n      data: null,\n      message: \"agentConfig.agents.regenerateNameFailed\",\n    };\n  }\n};\n\n/**\n * search agent info by agent id\n * @param agentId agent id\n * @param tenantId optional tenant ID for filtering\n * @param versionNo optional version number (default 0 for current/draft version)\n * @returns agent detail info\n */\nexport const searchAgentInfo = async (agentId: number, tenantId?: string, versionNo?: number) => {\n  try {\n    const url = tenantId\n      ? `${API_ENDPOINTS.agent.searchInfo}?tenant_id=${encodeURIComponent(tenantId)}`\n      : API_ENDPOINTS.agent.searchInfo;\n    const response = await fetch(url, {\n      method: \"POST\",\n      headers: getAuthHeaders(),\n      body: JSON.stringify({\n        agent_id: agentId,\n        version_no: versionNo ?? 0,\n      }),\n    });\n\n    if (!response.ok) {\n      throw new Error(`Request failed: ${response.status}`);\n    }\n\n    const data = await response.json();\n\n    // convert backend data to frontend format\n    const formattedAgent = {\n      id: data.agent_id,\n      name: data.name,\n      display_name: data.display_name,\n      description: data.description,\n      author: data.author,\n      model: data.model_name,\n      model_id: data.model_id,\n      max_step: data.max_steps,\n      duty_prompt: data.duty_prompt,\n      constraint_prompt: data.constraint_prompt,\n      few_shots_prompt: data.few_shots_prompt,\n      business_description: data.business_description,\n      business_logic_model_name: data.business_logic_model_name,\n      business_logic_model_id: data.business_logic_model_id,\n      provide_run_summary: data.provide_run_summary,\n      enabled: data.enabled,\n      is_available: data.is_available,\n      unavailable_reasons: data.unavailable_reasons || [],\n      sub_agent_id_list: data.sub_agent_id_list || [], // Add sub_agent_id_list\n      group_ids: data.group_ids || [],\n      ingroup_permission: data.ingroup_permission || \"READ_ONLY\",\n      tools: data.tools\n        ? data.tools.map((tool: any) => {\n            const params =\n              typeof tool.params === \"string\"\n                ? JSON.parse(tool.params)\n                : tool.params;\n            return {\n              id: String(tool.tool_id),\n              name: tool.name,\n              description: tool.description,\n              source: tool.source,\n              is_available: tool.is_available,\n              usage: tool.usage, // New: handle usage field\n              category: tool.category,\n              initParams: Array.isArray(params)\n                ? params.map((param: any) => ({\n                    name: param.name,\n                    type: convertParamType(param.type),\n                    required: !param.optional,\n                    value: param.default,\n                    description: param.description,\n                  }))\n                : [],\n            };\n          })\n        : [],\n      current_version_no: data.current_version_no\n    };\n\n    return {\n      success: true,\n      data: formattedAgent,\n      message: \"\",\n    };\n  } catch (error) {\n    log.error(\"Failed to get Agent details:\", error);\n    return {\n      success: false,\n      data: null,\n      message: \"agentConfig.agents.detailsFetchFailed\",\n    };\n  }\n};\n\n/**\n * fetch all available agents for chat\n * @returns list of available agents with agent_id, name, description, is_available\n */\nexport const fetchAllAgents = async () => {\n  try {\n    const response = await fetch(API_ENDPOINTS.agent.list, {\n      headers: getAuthHeaders(),\n    });\n    if (!response.ok) {\n      throw new Error(`Request failed: ${response.status}`);\n    }\n    const data = await response.json();\n\n    // convert backend data to frontend format\n    const formattedAgents = data.map((agent: any) => ({\n      agent_id: agent.agent_id,\n      name: agent.name,\n      display_name: agent.display_name || agent.name,\n      description: agent.description,\n      author: agent.author,\n      is_available: agent.is_available,\n      is_new: agent.is_new || false,\n    }));\n\n    return {\n      success: true,\n      data: formattedAgents,\n      message: \"\",\n    };\n  } catch (error) {\n    log.error(\"Failed to get all Agent list:\", error);\n    return {\n      success: false,\n      data: [],\n      message: \"agentConfig.agents.listFetchFailed\",\n    };\n  }\n};\n\n/**\n * Get agent call relationship tree including tools and sub-agents\n * @param agentId agent id\n * @returns agent call relationship tree structure\n */\nexport const fetchAgentCallRelationship = async (agentId: number) => {\n  try {\n    const response = await fetch(`${API_ENDPOINTS.agent.callRelationship}/${agentId}`, {\n      headers: getAuthHeaders(),\n    });\n\n    if (!response.ok) {\n      throw new Error(`Request failed: ${response.status}`);\n    }\n\n    const data = await response.json();\n\n    return {\n      success: true,\n      data: data,\n      message: ''\n    };\n  } catch (error) {\n    log.error('Failed to fetch agent call relationship:', error);\n    return {\n      success: false,\n      data: null,\n      message: 'agentConfig.agents.callRelationshipFetchFailed'\n    };\n  }\n};\n\n/**\n * Check if agent field value exists in the current tenant\n * @param fieldValue value to check\n * @param fieldName field name to check\n * @param excludeAgentId optional agent id to exclude from the check\n * @returns check result with status\n */\nconst checkAgentField = async (\n  fieldValue: string,\n  fieldName: string,\n  excludeAgentId?: number\n): Promise<{ status: string; action?: string }> => {\n  try {\n    // Get all agents in current tenant\n    const response = await fetch(API_ENDPOINTS.agent.list, {\n      headers: getAuthHeaders(),\n    });\n    if (!response.ok) {\n      throw new Error(`request failed: ${response.status}`);\n    }\n    const data = await response.json();\n\n    // Check if agent field value already exists, excluding the specified agent if provided\n    const existingAgent = data.find(\n      (agent: any) =>\n        agent[fieldName] === fieldValue &&\n        (!excludeAgentId || agent.agent_id !== excludeAgentId)\n    );\n\n    if (existingAgent) {\n      return { status: NAME_CHECK_STATUS.EXISTS_IN_TENANT };\n    }\n    return { status: NAME_CHECK_STATUS.AVAILABLE };\n  } catch (error) {\n    return { status: NAME_CHECK_STATUS.CHECK_FAILED };\n  }\n};\n\n/**\n * Check if agent name exists in the current tenant\n * @param agentName agent name to check\n * @param excludeAgentId optional agent id to exclude from the check\n * @returns check result with status\n */\nexport const checkAgentName = async (\n  agentName: string,\n  excludeAgentId?: number\n): Promise<{ status: string; action?: string }> => {\n  return checkAgentField(agentName, \"name\", excludeAgentId);\n};\n\n/**\n * Check if agent display name exists in the current tenant\n * @param displayName agent display name to check\n * @param excludeAgentId optional agent id to exclude from the check\n * @returns check result with status\n */\nexport const checkAgentDisplayName = async (\n  displayName: string,\n  excludeAgentId?: number\n): Promise<{ status: string; action?: string }> => {\n  return checkAgentField(displayName, \"display_name\", excludeAgentId);\n};\n\n/**\n * Validate tool using /tool/validate endpoint\n * @param name tool name\n * @param source tool source\n * @param usage tool usage URL\n * @param inputs tool inputs\n * @param params tool configuration parameters\n * @returns validation result\n */\nexport const validateTool = async (\n  name: string,\n  source: string,\n  usage: string,\n  inputs: Record<string, any> | null = null,\n  params: Record<string, any> | null = null\n) => {\n  try {\n    const requestBody = {\n      name: name,\n      source: source,\n      usage: usage,\n      inputs: inputs,\n      params: params,\n    };\n\n    const response = await fetch(API_ENDPOINTS.tool.validate, {\n      method: \"POST\",\n      headers: {\n        ...getAuthHeaders(),\n        \"Content-Type\": \"application/json\",\n      },\n      body: JSON.stringify(requestBody),\n    });\n\n    const data = await response.json();\n\n    // Return the raw backend response directly\n    return data;\n  } catch (error) {\n    log.error(\"Tool validation failed:\", error);\n    return {\n      valid: false,\n      message: \"Network error occurred during validation\",\n      error: error instanceof Error ? error.message : String(error),\n    };\n  }\n};\n"
  },
  {
    "path": "frontend/services/agentVersionService.ts",
    "content": "import { API_ENDPOINTS } from \"./api\";\nimport log from \"@/lib/logger\";\nimport { getAuthHeaders } from \"@/lib/auth\";\n\n/**\n * Tool instance from API response\n */\nexport interface ToolInstance {\n  tool_instance_id: number;\n  tool_id: number;\n  agent_id: number;\n  params: Record<string, any>;\n  user_id: string;\n  tenant_id: string;\n  enabled: boolean;\n  version_no: number;\n  delete_flag: string;\n}\n\nexport interface Agent {\n  agent_id: number;\n  name: string;\n  display_name?: string;\n  description: string;\n  author?: string;\n  model_name?: string;\n  model_id?: number;\n  max_steps: number;\n  duty_prompt?: string;\n  constraint_prompt?: string;\n  few_shots_prompt?: string;\n  parent_agent_id?: number;\n  tenant_id: string;\n  enabled: boolean;\n  provide_run_summary: boolean;\n  business_description?: string;\n  business_logic_model_name?: string;\n  business_logic_model_id?: number;\n  group_ids?: number[];\n  is_new?: boolean;\n  version_no?: number;\n  current_version_no?: number;\n  sub_agent_id_list?: number[];\n  is_available?: boolean;\n  unavailable_reasons?: string[];\n  tools: ToolInstance[];\n}\n\nexport interface AgentVersion { \n  version_no: number;\n  version_name: string;\n  release_note: string;\n  source_type: string;\n  source_version_no: number;\n  status: string;\n  create_time: string;\n  update_time: string;\n}\n\nexport interface AgentVersionResponse {\n  code: number;\n  message: string;\n  data: AgentVersion;\n}\n\nexport interface FetchAgentVersionResult {\n  success: boolean;\n  data: AgentVersion;\n  message: string;\n}\n\n/**\n * Agent version detail - extends Agent with version metadata\n */\nexport interface AgentVersionDetail extends Agent {\n  version: AgentVersion;\n}\n\nexport interface AgentVersionDetailResponse {\n  code: number;\n  message: string;\n  data: AgentVersionDetail;\n}\n\nexport interface FetchAgentVersionDetailResult {\n  success: boolean;\n  data: AgentVersionDetail;\n  message: string;\n}\n\n/**\n * Agent version list\n */\nexport interface AgentVersionListData {\n  items: AgentVersion[];\n  total: number;\n}\n\nexport interface AgentVersionListResponse {\n  success: boolean;\n  data: AgentVersionListData;\n  message: string;\n}\n\nexport interface FetchAgentVersionListResult {\n  success: boolean;\n  data: AgentVersionListData;\n  message: string;\n}\n\n/**\n * Request model for publishing a version\n */\nexport interface VersionPublishRequest {\n  version_name?: string;\n  release_note?: string;\n}\n\n/**\n * Response model for publish version\n */\nexport interface VersionPublishResponse {\n  success: boolean;\n  message: string;\n  data?: AgentVersion;\n}\n\n/**\n * Request model for rollback version\n */\nexport interface VersionRollbackRequest {\n  version_name?: string;\n  release_note?: string;\n}\n\n/**\n * Response model for rollback version\n */\nexport interface VersionRollbackResponse {\n  success: boolean;\n  message: string;\n  data?: AgentVersion;\n}\n\n/**\n * Request model for updating version metadata\n */\nexport interface VersionUpdateRequest {\n  version_name?: string;\n  release_note?: string;\n}\n\n/**\n * Response model for update version\n */\nexport interface VersionUpdateResponse {\n  success: boolean;\n  message: string;\n  data?: {\n    version_no: number;\n  };\n}\n\n/**\n * Request model for version comparison\n */\nexport interface VersionCompareRequest {\n  version_no_a: number;\n  version_no_b: number;\n}\n\n/**\n * Response model for version comparison\n */\nexport interface VersionCompareResponse {\n  success: boolean;\n  message: string;\n  data?: {\n    version_a: AgentVersionDetail;\n    version_b: AgentVersionDetail;\n    differences: VersionDifference[];\n  };\n}\n\n/**\n * Version difference item\n */\nexport interface VersionDifference {\n  field: string;\n  label: string;\n  value_a: any;\n  value_b: any;\n}\n\n/**\n * Fetch agent version from backend\n * @param agentId The agent ID\n * @param versionNo The version number to fetch\n * @returns Promise containing the version response\n */\nexport async function fetchAgentVersion(\n  agentId: number,\n  versionNo: number\n): Promise<FetchAgentVersionResult> {\n  try {\n    const response = await fetch(API_ENDPOINTS.agent.versions.version(agentId, versionNo), {\n      method: \"GET\",\n      headers: getAuthHeaders(),\n    });\n    if (!response.ok) {\n      throw new Error(`Request failed: ${response.status}`);\n    }\n\n    const data: AgentVersion = await response.json();\n    return {\n      success: true,\n      data: data || {},\n      message: \"\",\n    };\n  } catch (error) {\n    log.error(\"Failed to fetch agent version:\", error);\n    return {\n      success: false,\n      data: {} as AgentVersion,\n      message: \"Failed to fetch agent version\",\n    };\n  }\n}\n\n/**\n * Fetch agent version detail from backend\n * @param agentId The agent ID\n * @param versionNo The version number to fetch\n * @returns Promise containing the version detail response\n */\nexport async function fetchAgentVersionDetail(\n  agentId: number,\n  versionNo: number\n): Promise<FetchAgentVersionDetailResult> {\n  try {\n    const response = await fetch(\n      API_ENDPOINTS.agent.versions.detail(agentId, versionNo),\n      {\n        method: \"GET\",\n        headers: getAuthHeaders(),\n      }\n    );\n\n    if (!response.ok) {\n      throw new Error(`Request failed: ${response.status}`);\n    }\n\n    const data: AgentVersionDetail = await response.json();\n    return {\n      success: true,\n      data: data || {},\n      message: \"\",\n    };\n  } catch (error) {\n    log.error(\"Failed to fetch agent version info:\", error);\n    return {\n      success: false,\n      data: {} as AgentVersionDetail,\n      message: \"Failed to fetch agent version info\",\n    };\n  }\n}\n\n/**\n * Fetch agent version list from backend\n * @param agentId The agent ID to fetch versions for\n * @param tenantId optional tenant ID for filtering\n * @returns Promise containing the version list response\n */\nexport async function fetchAgentVersionList(\n  agentId: number,\n  tenantId?: string\n): Promise<FetchAgentVersionListResult> {\n  try {\n    const url = tenantId\n      ? `${API_ENDPOINTS.agent.versions.list(agentId)}?tenant_id=${encodeURIComponent(tenantId)}`\n      : API_ENDPOINTS.agent.versions.list(agentId);\n    const response = await fetch(url, {\n      method: \"GET\",\n      headers: getAuthHeaders(),\n    });\n\n    if (!response.ok) {\n      throw new Error(`Request failed: ${response.status}`);\n    }\n\n    const data: AgentVersionListData = await response.json();\n    return {\n      success: true,\n      data: data || { items: [], total: 0 },\n      message: \"\",\n    };\n  } catch (error) {\n    log.error(\"Failed to fetch agent version list:\", error);\n    return {\n      success: false,\n      data: { items: [], total: 0 },\n      message: \"Failed to fetch agent version list\",\n    };\n  }\n}\n\n/**\n * Publish a new version of an agent\n * @param agentId The agent ID to publish\n * @param request Version publish request containing version_name and release_note\n * @returns Promise containing the publish result\n */\nexport async function publishVersion(\n  agentId: number,\n  request: VersionPublishRequest\n): Promise<VersionPublishResponse> {\n  try {\n    const response = await fetch(API_ENDPOINTS.agent.publish(agentId), {\n      method: \"POST\",\n      headers: {\n        ...getAuthHeaders(),\n        \"Content-Type\": \"application/json\",\n      },\n      body: JSON.stringify(request),\n    });\n\n    if (!response.ok) {\n      throw new Error(`Request failed: ${response.status}`);\n    }\n\n    const data: AgentVersion = await response.json();\n    return {\n      success: true,\n      message: \"Version published successfully\",\n      data: data,\n    };\n  } catch (error) {\n    log.error(\"Failed to publish agent version:\", error);\n    return {\n      success: false,\n      message: error instanceof Error ? error.message : \"Failed to publish version\",\n    };\n  }\n}\n\n/**\n * Rollback to a specific version by updating current_version_no only\n * This does NOT create a new version - the draft will point to the target version\n * Use publishVersion to create an actual new version after rollback\n * @param agentId The agent ID to rollback\n * @param sourceVersionNo The source version number to rollback to\n * @returns Promise containing the rollback result\n */\nexport async function rollbackVersion(\n  agentId: number,\n  sourceVersionNo: number\n): Promise<VersionRollbackResponse> {\n  try {\n    const response = await fetch(\n      API_ENDPOINTS.agent.versions.rollback(agentId, sourceVersionNo),\n      {\n        method: \"POST\",\n        headers: getAuthHeaders(),\n      }\n    );\n\n    if (!response.ok) {\n      throw new Error(`Request failed: ${response.status}`);\n    }\n\n    const data: AgentVersion = await response.json();\n    return {\n      success: true,\n      message: \"Version rolled back successfully\",\n      data: data,\n    };\n  } catch (error) {\n    log.error(\"Failed to rollback agent version:\", error);\n    return {\n      success: false,\n      message: error instanceof Error ? error.message : \"Failed to rollback version\",\n    };\n  }\n}\n\n/**\n * Compare two versions and return their differences\n * @param agentId The agent ID\n * @param versionNoA First version number for comparison\n * @param versionNoB Second version number for comparison\n * @returns Promise containing the comparison result\n */\nexport async function compareVersions(\n  agentId: number,\n  versionNoA: number,\n  versionNoB: number\n): Promise<VersionCompareResponse> {\n  try {\n    const response = await fetch(API_ENDPOINTS.agent.versions.compare(agentId), {\n      method: \"POST\",\n      headers: {\n        ...getAuthHeaders(),\n        \"Content-Type\": \"application/json\",\n      },\n      body: JSON.stringify({\n        version_no_a: versionNoA,\n        version_no_b: versionNoB,\n      }),\n    });\n\n    if (!response.ok) {\n      throw new Error(`Request failed: ${response.status}`);\n    }\n\n    const data = await response.json();\n    return {\n      success: true,\n      message: \"Version comparison successful\",\n      data: data,\n    };\n  } catch (error) {\n    log.error(\"Failed to compare agent versions:\", error);\n    return {\n      success: false,\n      message: error instanceof Error ? error.message : \"Failed to compare versions\",\n    };\n  }\n}\n\n/**\n * Delete a specific version\n * @param agentId The agent ID\n * @param versionNo The version number to delete\n * @returns Promise containing the delete result\n */\nexport async function deleteVersion(\n  agentId: number,\n  versionNo: number\n): Promise<{ success: boolean; message: string }> {\n  try {\n    const response = await fetch(\n      API_ENDPOINTS.agent.versions.delete(agentId, versionNo),\n      {\n        method: \"DELETE\",\n        headers: getAuthHeaders(),\n      }\n    );\n\n    if (!response.ok) {\n      throw new Error(`Request failed: ${response.status}`);\n    }\n\n    return {\n      success: true,\n      message: \"Version deleted successfully\",\n    };\n  } catch (error) {\n    log.error(\"Failed to delete agent version:\", error);\n    return {\n      success: false,\n      message: error instanceof Error ? error.message : \"Failed to delete version\",\n    };\n  }\n}\n\n/**\n * Update version metadata (version_name and release_note)\n * @param agentId The agent ID\n * @param versionNo The version number to update\n * @param request Update request containing version_name and/or release_note\n * @returns Promise containing the update result\n */\nexport async function updateVersion(\n  agentId: number,\n  versionNo: number,\n  request: VersionUpdateRequest\n): Promise<VersionUpdateResponse> {\n  try {\n    const response = await fetch(\n      API_ENDPOINTS.agent.versions.update(agentId, versionNo),\n      {\n        method: \"PUT\",\n        headers: {\n          ...getAuthHeaders(),\n          \"Content-Type\": \"application/json\",\n        },\n        body: JSON.stringify(request),\n      }\n    );\n\n    if (!response.ok) {\n      throw new Error(`Request failed: ${response.status}`);\n    }\n\n    const data = await response.json();\n    return {\n      success: true,\n      message: \"Version updated successfully\",\n      data: data,\n    };\n  } catch (error) {\n    log.error(\"Failed to update agent version:\", error);\n    return {\n      success: false,\n      message: error instanceof Error ? error.message : \"Failed to update version\",\n    };\n  }\n}"
  },
  {
    "path": "frontend/services/api.ts",
    "content": "import { STATUS_CODES } from \"@/const/auth\";\nimport { ErrorCode } from \"@/const/errorCode\";\nimport { handleSessionExpired } from \"@/lib/session\";\nimport log from \"@/lib/logger\";\nimport type { MarketAgentListParams } from \"@/types/market\";\n\nconst API_BASE_URL = \"/api\";\n\nexport const API_ENDPOINTS = {\n  user: {\n    signup: `${API_BASE_URL}/user/signup`,\n    signin: `${API_BASE_URL}/user/signin`,\n    refreshToken: `${API_BASE_URL}/user/refresh_token`,\n    logout: `${API_BASE_URL}/user/logout`,\n    session: `${API_BASE_URL}/user/session`,\n    currentUserId: `${API_BASE_URL}/user/current_user_id`,\n    currentUserInfo: `${API_BASE_URL}/user/current_user_info`,\n    serviceHealth: `${API_BASE_URL}/user/service_health`,\n    revoke: `${API_BASE_URL}/user/revoke`,\n    tokens: `${API_BASE_URL}/user/tokens`,\n    deleteToken: (tokenId: number) => `${API_BASE_URL}/user/tokens/${tokenId}`,\n  },\n  conversation: {\n    list: `${API_BASE_URL}/conversation/list`,\n    create: `${API_BASE_URL}/conversation/create`,\n    save: `${API_BASE_URL}/conversation/save`,\n    rename: `${API_BASE_URL}/conversation/rename`,\n    detail: (id: number) => `${API_BASE_URL}/conversation/${id}`,\n    delete: (id: number) => `${API_BASE_URL}/conversation/${id}`,\n    generateTitle: `${API_BASE_URL}/conversation/generate_title`,\n    // TODO: Remove this endpoint\n    sources: `${API_BASE_URL}/conversation/sources`,\n    opinion: `${API_BASE_URL}/conversation/message/update_opinion`,\n    messageId: `${API_BASE_URL}/conversation/message/id`,\n  },\n  agent: {\n    run: `${API_BASE_URL}/agent/run`,\n    update: `${API_BASE_URL}/agent/update`,\n    list: `${API_BASE_URL}/agent/list`,\n    publishedList: `${API_BASE_URL}/agent/published_list`,\n    delete: `${API_BASE_URL}/agent`,\n    getCreatingSubAgentId: `${API_BASE_URL}/agent/get_creating_sub_agent_id`,\n    stop: (conversationId: number) =>\n      `${API_BASE_URL}/agent/stop/${conversationId}`,\n    export: `${API_BASE_URL}/agent/export`,\n    import: `${API_BASE_URL}/agent/import`,\n    checkNameBatch: `${API_BASE_URL}/agent/check_name`,\n    regenerateNameBatch: `${API_BASE_URL}/agent/regenerate_name`,\n    searchInfo: `${API_BASE_URL}/agent/search_info`,\n    callRelationship: `${API_BASE_URL}/agent/call_relationship`,\n    clearNew: (agentId: string | number) => `${API_BASE_URL}/agent/clear_new/${agentId}`,\n    publish: (agentId: number) => `${API_BASE_URL}/agent/${agentId}/publish`,\n    versions: {\n      version: (agentId: number, versionNo: number) => `${API_BASE_URL}/agent/${agentId}/versions/${versionNo}`,\n      detail: (agentId: number, versionNo: number) => `${API_BASE_URL}/agent/${agentId}/versions/${versionNo}/detail`,\n      list: (agentId: number) => `${API_BASE_URL}/agent/${agentId}/versions`,\n      current: (agentId: number) => `${API_BASE_URL}/agent/${agentId}/current_version`,\n      rollback: (agentId: number, versionNo: number) => `${API_BASE_URL}/agent/${agentId}/versions/${versionNo}/rollback`,\n      compare: (agentId: number) => `${API_BASE_URL}/agent/${agentId}/versions/compare`,\n      delete: (agentId: number, versionNo: number) => `${API_BASE_URL}/agent/${agentId}/versions/${versionNo}`,\n      update: (agentId: number, versionNo: number) => `${API_BASE_URL}/agent/${agentId}/versions/${versionNo}`,\n    },\n  },\n  tool: {\n    list: `${API_BASE_URL}/tool/list`,\n    update: `${API_BASE_URL}/tool/update`,\n    search: `${API_BASE_URL}/tool/search`,\n    updateTool: `${API_BASE_URL}/tool/scan_tool`,\n    validate: `${API_BASE_URL}/tool/validate`,\n    loadConfig: (toolId: number) =>\n      `${API_BASE_URL}/tool/load_config/${toolId}`,\n  },\n  prompt: {\n    generate: `${API_BASE_URL}/prompt/generate`,\n  },\n  stt: {\n    ws: `/api/voice/stt/ws`,\n  },\n  tts: {\n    ws: `/api/voice/tts/ws`,\n  },\n  storage: {\n    upload: `${API_BASE_URL}/file/storage`,\n    files: `${API_BASE_URL}/file/storage`,\n    file: (\n      objectName: string,\n      download: string = \"ignore\",\n      filename?: string\n    ) => {\n      const queryParams = new URLSearchParams();\n      queryParams.append(\"download\", download);\n      if (filename) queryParams.append(\"filename\", filename);\n      return `${API_BASE_URL}/file/download/${objectName}?${queryParams.toString()}`;\n    },\n    datamateDownload: (params: {\n      url?: string;\n      baseUrl?: string;\n      datasetId?: string;\n      fileId?: string;\n      filename?: string;\n    }) => {\n      const queryParams = new URLSearchParams();\n      if (params.url) queryParams.append(\"url\", params.url);\n      if (params.baseUrl) queryParams.append(\"base_url\", params.baseUrl);\n      if (params.datasetId) queryParams.append(\"dataset_id\", params.datasetId);\n      if (params.fileId) queryParams.append(\"file_id\", params.fileId);\n      if (params.filename) queryParams.append(\"filename\", params.filename);\n      return `${API_BASE_URL}/file/datamate/download?${queryParams.toString()}`;\n    },\n    delete: (objectName: string) =>\n      `${API_BASE_URL}/file/storage/${objectName}`,\n    preprocess: `${API_BASE_URL}/file/preprocess`,\n  },\n  proxy: {\n    image: (url: string, format: string = \"stream\") =>\n      `${API_BASE_URL}/image?url=${encodeURIComponent(url)}&format=${format}`,\n  },\n  model: {\n    // Model lists\n    officialModelList: `${API_BASE_URL}/model/list`, // ModelEngine models are also in this list\n    customModelList: `${API_BASE_URL}/model/list`,\n\n    // Custom model service\n    customModelCreate: `${API_BASE_URL}/model/create`,\n    customModelCreateProvider: `${API_BASE_URL}/model/provider/create`,\n    customModelBatchCreate: `${API_BASE_URL}/model/provider/batch_create`,\n    getProviderSelectedModalList: `${API_BASE_URL}/model/provider/list`,\n    customModelDelete: (displayName: string) =>\n      `${API_BASE_URL}/model/delete?display_name=${encodeURIComponent(\n        displayName\n      )}`,\n    customModelHealthcheck: (displayName: string) =>\n      `${API_BASE_URL}/model/healthcheck?display_name=${encodeURIComponent(\n        displayName\n      )}`,\n    verifyModelConfig: `${API_BASE_URL}/model/temporary_healthcheck`,\n    updateSingleModel: (displayName: string) =>\n      `${API_BASE_URL}/model/update?display_name=${encodeURIComponent(displayName)}`,\n    updateBatchModel: `${API_BASE_URL}/model/batch_update`,\n    // LLM model list for generation\n    llmModelList: `${API_BASE_URL}/model/llm_list`,\n    // Manage tenant model operations\n    manageModelList: `${API_BASE_URL}/model/manage/list`,\n    manageModelCreate: `${API_BASE_URL}/model/manage/create`,\n    manageModelBatchCreate: `${API_BASE_URL}/model/manage/batch_create`,\n    manageModelHealthcheck: `${API_BASE_URL}/model/manage/healthcheck`,\n    manageModelUpdate: (displayName: string) =>\n      `${API_BASE_URL}/model/manage/update?display_name=${encodeURIComponent(displayName)}`,\n    manageModelDelete: (displayName: string) =>\n      `${API_BASE_URL}/model/manage/delete?display_name=${encodeURIComponent(displayName)}`,\n    manageProviderModelList: `${API_BASE_URL}/model/manage/provider/list`,\n    manageProviderModelCreate: `${API_BASE_URL}/model/manage/provider/create`,\n  },\n  knowledgeBase: {\n    // Elasticsearch service\n    health: `${API_BASE_URL}/indices/health`,\n    indices: `${API_BASE_URL}/indices`,\n    checkName: `${API_BASE_URL}/indices/check_exist`,\n    listFiles: (indexName: string) =>\n      `${API_BASE_URL}/indices/${indexName}/files`,\n    indexDetail: (indexName: string) => `${API_BASE_URL}/indices/${indexName}`,\n    chunks: (indexName: string) =>\n      `${API_BASE_URL}/indices/${indexName}/chunks`,\n    chunk: (indexName: string) => `${API_BASE_URL}/indices/${indexName}/chunk`,\n    chunkDetail: (indexName: string, chunkId: string) =>\n      `${API_BASE_URL}/indices/${indexName}/chunk/${chunkId}`,\n    // Update knowledge base info\n    updateIndex: (indexName: string) => `${API_BASE_URL}/indices/${indexName}`,\n    searchHybrid: `${API_BASE_URL}/indices/search/hybrid`,\n    summary: (indexName: string) =>\n      `${API_BASE_URL}/summary/${indexName}/auto_summary`,\n    changeSummary: (indexName: string) =>\n      `${API_BASE_URL}/summary/${indexName}/summary`,\n    getSummary: (indexName: string) =>\n      `${API_BASE_URL}/summary/${indexName}/summary`,\n\n    // File upload service\n    upload: `${API_BASE_URL}/file/upload`,\n    process: `${API_BASE_URL}/file/process`,\n    // Error info service\n    getErrorInfo: (indexName: string, pathOrUrl: string) =>\n      `${API_BASE_URL}/indices/${indexName}/documents/${encodeURIComponent(\n        pathOrUrl\n      )}/error-info`,\n  },\n  dify: {\n    datasets: `${API_BASE_URL}/dify/datasets`,\n  },\n  idata: {\n    knowledgeSpaces: `${API_BASE_URL}/idata/knowledge-space`,\n    datasets: `${API_BASE_URL}/idata/datasets`,\n  },\n  datamate: {\n    syncDatamateKnowledges: `${API_BASE_URL}/datamate/sync_datamate_knowledges`,\n    testConnection: `${API_BASE_URL}/datamate/test_connection`,\n    files: (knowledgeBaseId: string) =>\n      `${API_BASE_URL}/datamate/${knowledgeBaseId}/files`,\n  },\n  config: {\n    save: `${API_BASE_URL}/config/save_config`,\n    load: `${API_BASE_URL}/config/load_config`,\n    saveDataMateUrl: `${API_BASE_URL}/config/save_datamate_url`,\n  },\n  tenantConfig: {\n    loadKnowledgeList: `${API_BASE_URL}/tenant_config/load_knowledge_list`,\n    updateKnowledgeList: `${API_BASE_URL}/tenant_config/update_knowledge_list`,\n    deploymentVersion: `${API_BASE_URL}/tenant_config/deployment_version`,\n  },\n  mcp: {\n    tools: `${API_BASE_URL}/mcp/tools`,\n    add: `${API_BASE_URL}/mcp/add`,\n    update: `${API_BASE_URL}/mcp/update`,\n    delete: `${API_BASE_URL}/mcp`,\n    list: `${API_BASE_URL}/mcp/list`,\n    healthcheck: `${API_BASE_URL}/mcp/healthcheck`,\n    addFromConfig: `${API_BASE_URL}/mcp/add-from-config`,\n    uploadImage: `${API_BASE_URL}/mcp/upload-image`,\n    containers: `${API_BASE_URL}/mcp/containers`,\n    containerLogs: (containerId: string) =>\n      `${API_BASE_URL}/mcp/container/${containerId}/logs`,\n    deleteContainer: (containerId: string) =>\n      `${API_BASE_URL}/mcp/container/${containerId}`,\n    record: (mcpId: number) => `${API_BASE_URL}/mcp/record/${mcpId}`,\n  },\n  memory: {\n    // ---------------- Memory configuration ----------------\n    config: {\n      load: `${API_BASE_URL}/memory/config/load`,\n      set: `${API_BASE_URL}/memory/config/set`,\n      disableAgentAdd: `${API_BASE_URL}/memory/config/disable_agent`,\n      disableAgentRemove: (agentId: string | number) =>\n        `${API_BASE_URL}/memory/config/disable_agent/${agentId}`,\n      disableUserAgentAdd: `${API_BASE_URL}/memory/config/disable_useragent`,\n      disableUserAgentRemove: (agentId: string | number) =>\n        `${API_BASE_URL}/memory/config/disable_useragent/${agentId}`,\n    },\n\n    // ---------------- Memory CRUD ----------------\n    entry: {\n      add: `${API_BASE_URL}/memory/add`,\n      search: `${API_BASE_URL}/memory/search`,\n      list: `${API_BASE_URL}/memory/list`,\n      delete: (memoryId: string | number) =>\n        `${API_BASE_URL}/memory/delete/${memoryId}`,\n      clear: `${API_BASE_URL}/memory/clear`,\n    },\n  },\n  market: {\n    agents: (params?: MarketAgentListParams) => {\n      const queryParams = new URLSearchParams();\n      if (params?.page) queryParams.append(\"page\", params.page.toString());\n      if (params?.page_size)\n        queryParams.append(\"page_size\", params.page_size.toString());\n      if (params?.category) queryParams.append(\"category\", params.category);\n      if (params?.tag) queryParams.append(\"tag\", params.tag);\n      if (params?.search) queryParams.append(\"search\", params.search);\n      if (params?.lang) queryParams.append(\"lang\", (params as any).lang);\n\n      const queryString = queryParams.toString();\n      return `${API_BASE_URL}/market/agents${queryString ? `?${queryString}` : \"\"}`;\n    },\n    agentDetail: (agentId: number) =>\n      `${API_BASE_URL}/market/agents/${agentId}`,\n    categories: `${API_BASE_URL}/market/categories`,\n    tags: `${API_BASE_URL}/market/tags`,\n    mcpServers: (agentId: number) =>\n      `${API_BASE_URL}/market/agents/${agentId}/mcp_servers`,\n  },\n  tenant: {\n    list: `${API_BASE_URL}/tenants/tenant-list`,\n    create: `${API_BASE_URL}/tenants`,\n    detail: (tenantId: string) => `${API_BASE_URL}/tenants/${tenantId}`,\n    update: (tenantId: string) => `${API_BASE_URL}/tenants/${tenantId}`,\n    delete: (tenantId: string) => `${API_BASE_URL}/tenants/${tenantId}`,\n  },\n  users: {\n    list: `${API_BASE_URL}/users/list`,\n    detail: (userId: string) => `${API_BASE_URL}/users/${userId}`,\n    update: (userId: string) => `${API_BASE_URL}/users/${userId}`,\n    delete: (userId: string) => `${API_BASE_URL}/users/${userId}`,\n  },\n  groups: {\n    create: `${API_BASE_URL}/groups`,\n    list: `${API_BASE_URL}/groups/list`,\n    detail: (groupId: number) => `${API_BASE_URL}/groups/${groupId}`,\n    update: (groupId: number) => `${API_BASE_URL}/groups/${groupId}`,\n    delete: (groupId: number) => `${API_BASE_URL}/groups/${groupId}`,\n    // Group members\n    members: (groupId: number) => `${API_BASE_URL}/groups/${groupId}/members`,\n    addMember: (groupId: number) => `${API_BASE_URL}/groups/${groupId}/members`,\n    removeMember: (groupId: number, userId: string) =>\n      `${API_BASE_URL}/groups/${groupId}/members/${userId}`,\n    default: (tenantId: string) =>\n      `${API_BASE_URL}/groups/tenants/${tenantId}/default`,\n  },\n  invitations: {\n    list: `${API_BASE_URL}/invitations/list`,\n    create: `${API_BASE_URL}/invitations`,\n    update: (invitationCode: string) =>\n      `${API_BASE_URL}/invitations/${invitationCode}`,\n    delete: (invitationCode: string) =>\n      `${API_BASE_URL}/invitations/${invitationCode}`,\n    check: (invitationCode: string) =>\n      `${API_BASE_URL}/invitations/${invitationCode}/check`,\n  },\n};\n\n// Common error handling\nexport class ApiError extends Error {\n  constructor(\n    public code: string | number,\n    message: string\n  ) {\n    super(message);\n    this.name = \"ApiError\";\n  }\n}\n\n// API request interceptor\nexport const fetchWithErrorHandling = async (\n  url: string,\n  options: RequestInit = {}\n) => {\n  try {\n    const response = await fetch(url, options);\n\n    // Handle HTTP errors\n    if (!response.ok) {\n      // Try to parse JSON response for business error code first\n      let errorCode = response.status;\n      let errorMessage = `Request failed: ${response.status}`;\n      const errorText = await response.text();\n\n      let parsedErrorData = null;\n      try {\n        const errorData = JSON.parse(errorText);\n        if (errorData && errorData.code) {\n          parsedErrorData = errorData;\n          errorCode = errorData.code;\n          errorMessage = errorData.message || errorMessage;\n        } else {\n          errorMessage = errorText || errorMessage;\n        }\n      } catch {\n        // Not JSON, use text as message\n        errorMessage = errorText || errorMessage;\n      }\n\n      // Check if it's a session expiration error based on business error code\n      // TOKEN_EXPIRED = \"000203\", TOKEN_INVALID = \"000204\"\n      const errorCodeStr = String(errorCode);\n      if (\n        errorCodeStr === ErrorCode.TOKEN_EXPIRED ||\n        errorCodeStr === ErrorCode.TOKEN_INVALID\n      ) {\n        handleSessionExpired();\n        throw new ApiError(errorCode, errorMessage);\n      }\n\n      // Handle custom 499 error code (client closed connection)\n      if (response.status === 499) {\n        handleSessionExpired();\n        throw new ApiError(\n          ErrorCode.TOKEN_EXPIRED,\n          \"Connection disconnected, session may have expired\"\n        );\n      }\n\n      // Handle request entity too large error (413)\n      if (response.status === 413) {\n        throw new ApiError(\n          ErrorCode.FILE_TOO_LARGE,\n          \"File size exceeds limit.\"\n        );\n      }\n\n      throw new ApiError(errorCode, errorMessage);\n    }\n\n    return response;\n  } catch (error) {\n    // Handle network errors\n    if (error instanceof TypeError && error.message.includes(\"NetworkError\")) {\n      log.error(\"Network error:\", error);\n      throw new ApiError(\n        STATUS_CODES.SERVER_ERROR,\n        \"Network connection error, please check your network connection\"\n      );\n    }\n\n    // Handle connection reset errors\n    if (\n      error instanceof TypeError &&\n      error.message.includes(\"Failed to fetch\")\n    ) {\n      log.error(\"Connection error:\", error);\n\n      // For user management related requests, it might be login expiration\n      if (\n        url.includes(\"/user/session\") ||\n        url.includes(\"/user/current_user_id\")\n      ) {\n        handleSessionExpired();\n        throw new ApiError(\n          STATUS_CODES.TOKEN_EXPIRED,\n          \"Connection disconnected, session may have expired\"\n        );\n      } else {\n        throw new ApiError(\n          STATUS_CODES.SERVER_ERROR,\n          \"Server connection error, please try again later\"\n        );\n      }\n    }\n\n    // Re-throw other errors\n    throw error;\n  }\n};\n\n\n// Add global interface extensions for TypeScript\ndeclare global {\n  interface Window {\n    __isHandlingSessionExpired?: boolean;\n  }\n}\n"
  },
  {
    "path": "frontend/services/authService.ts",
    "content": "/**\n * Authentication service\n *\n * After HttpOnly cookie migration:\n * - Tokens are managed by server.js via HttpOnly cookies (Set-Cookie on login/refresh)\n * - Frontend only stores user display info in localStorage\n * - expires_at is readable from a non-HttpOnly cookie\n */\nimport { API_ENDPOINTS } from \"@/services/api\";\nimport { sessionService } from \"@/services/sessionService\";\n\nimport { Session, SessionResponse, AuthInfoResponse } from \"@/types/auth\";\nimport { STATUS_CODES } from \"@/const/auth\";\n\nimport { generateAvatarUrl } from \"@/lib/auth\";\nimport { fetchWithAuth } from \"@/lib/auth\";\nimport {\n  removeSessionFromStorage,\n  getSessionFromStorage,\n  saveUserToStorage,\n  removeUserFromStorage,\n  checkSessionValid,\n} from \"@/lib/session\";\nimport log from \"@/lib/logger\";\n\n\nexport const authService = {\n  getSession: async (): Promise<Session | null> => {\n    try {\n      const sessionObj = getSessionFromStorage();\n      if (!sessionObj) return null;\n\n      try {\n        const response = await fetchWithAuth(API_ENDPOINTS.user.session);\n\n        if (!response.ok) {\n          log.warn(\n            \"Session verification failed, HTTP status code:\",\n            response.status\n          );\n\n          if (response.status === STATUS_CODES.UNAUTHORIZED_HTTP) {\n            return null;\n          }\n\n          log.warn(\n            \"Backend session verification failed, but will continue using local session\"\n          );\n          return sessionObj;\n        }\n\n        return sessionObj;\n      } catch (error) {\n        log.error(\"Error verifying session:\", error);\n\n        if (\n          error instanceof Error &&\n          \"code\" in error &&\n          (error as any).code === STATUS_CODES.TOKEN_EXPIRED\n        ) {\n          return null;\n        }\n\n        log.warn(\n          \"Backend session verification failed, but will continue using local session\"\n        );\n        return sessionObj;\n      }\n    } catch (error) {\n      log.error(\"Failed to get session:\", error);\n      return null;\n    }\n  },\n\n  revoke: async (): Promise<{ error: null }> => {\n    try {\n      await fetchWithAuth(API_ENDPOINTS.user.revoke, {\n        method: \"POST\",\n      });\n    } catch (error) {\n      log.error(\"Account revoke failed:\", error);\n    } finally {\n      removeSessionFromStorage();\n    }\n\n    return { error: null };\n  },\n\n  checkAuthServiceAvailable: async (): Promise<boolean> => {\n    try {\n      const response = await fetch(API_ENDPOINTS.user.serviceHealth, {\n        method: \"GET\",\n      });\n\n      return response.status === STATUS_CODES.SUCCESS;\n    } catch (error) {\n      return false;\n    }\n  },\n\n  signIn: async (email: string, password: string): Promise<SessionResponse> => {\n    try {\n      const response = await fetch(API_ENDPOINTS.user.signin, {\n        method: \"POST\",\n        headers: {\n          \"Content-Type\": \"application/json\",\n        },\n        body: JSON.stringify({\n          email,\n          password,\n        }),\n      });\n\n      const data = await response.json();\n\n      if (!response.ok) {\n        return {\n          error: {\n            message: data.detail || data.message || \"Login failed\",\n            code: response.status,\n            data: data.data || null,\n          },\n        };\n      }\n\n      const avatar_url = generateAvatarUrl(email);\n\n      const user = {\n        id: data.data.user.id,\n        email: data.data.user.email,\n        role: data.data.user.role,\n        avatarUrl: avatar_url,\n      };\n\n      // Save user display info to localStorage\n      saveUserToStorage(user);\n\n      // Tokens are already set as HttpOnly cookies by server.js.\n      // Build session from the expires_at returned in the (sanitized) response.\n      const session: Session = {\n        expires_at: data.data.session.expires_at,\n      };\n\n      return { data: { session, user }, error: null };\n    } catch (error) {\n      log.error(\"Login failed:\", error);\n      return {\n        error: {\n          message:\n            error instanceof Error ? error.message : \"Network error, please try again later\",\n          code:\n            error instanceof Error && \"code\" in error\n              ? (error as any).code\n              : STATUS_CODES.SERVER_ERROR,\n        },\n      };\n    }\n  },\n\n  signUp: async (\n    email: string,\n    password: string,\n    inviteCode?: string,\n    autoLogin: boolean = true\n  ): Promise<SessionResponse> => {\n    try {\n      const response = await fetch(API_ENDPOINTS.user.signup, {\n        method: \"POST\",\n        headers: {\n          \"Content-Type\": \"application/json\",\n        },\n        body: JSON.stringify({\n          email,\n          password,\n          invite_code: inviteCode || null,\n          auto_login: autoLogin,\n        }),\n      });\n\n      const data = await response.json();\n\n      if (!response.ok) {\n        return {\n          error: {\n            message: data.message || \"Registration failed\",\n            code: response.status,\n            data: data.data || null,\n          },\n        };\n      }\n\n      if (!autoLogin) {\n        return { data: { session: null }, error: null };\n      }\n\n      const avatar_url = generateAvatarUrl(email);\n\n      // If no session returned from signup, try explicit sign-in\n      if (!data.data.session || !data.data.session.expires_at) {\n        const loginResponse = await fetch(API_ENDPOINTS.user.signin, {\n          method: \"POST\",\n          headers: {\n            \"Content-Type\": \"application/json\",\n          },\n          body: JSON.stringify({ email, password }),\n        });\n\n        const loginData = await loginResponse.json();\n\n        if (!loginResponse.ok) {\n          return { data: { session: null }, error: null };\n        }\n\n        const user = {\n          id: loginData.data.user.id,\n          email: loginData.data.user.email,\n          role: loginData.data.user.role,\n          avatarUrl: avatar_url,\n        };\n        saveUserToStorage(user);\n\n        const session: Session = {\n          expires_at: loginData.data.session.expires_at,\n        };\n\n        return { data: { session, user }, error: null };\n      } else {\n        const userData = data.data.user;\n        const user = {\n          id: userData?.id || \"\",\n          email: userData?.email || email,\n          role: userData?.role || \"USER\",\n          avatarUrl: avatar_url,\n        };\n        saveUserToStorage(user);\n\n        const session: Session = {\n          expires_at: data.data.session.expires_at,\n        };\n\n        return { data: { session, user }, error: null };\n      }\n    } catch (error) {\n      log.error(\"Registration failed:\", error);\n      return {\n        error: {\n          message: \"Network error, please try again later\",\n          code: STATUS_CODES.SERVER_ERROR,\n        },\n      };\n    }\n  },\n\n  signOut: async (): Promise<{ error: null }> => {\n    try {\n      await fetchWithAuth(API_ENDPOINTS.user.logout, {\n        method: \"POST\",\n      });\n\n      // server.js clears HttpOnly cookies; clear local user info\n      removeSessionFromStorage();\n\n      return { error: null };\n    } catch (error) {\n      log.error(\"Logout failed:\", error);\n\n      removeSessionFromStorage();\n\n      return { error: null };\n    }\n  },\n\n  getCurrentUserId: async (): Promise<string | null> => {\n    try {\n      const response = await fetchWithAuth(API_ENDPOINTS.user.currentUserId);\n\n      if (!response.ok) {\n        log.warn(\"Failed to get user ID, HTTP status code:\", response.status);\n        return null;\n      }\n\n      const data = await response.json();\n\n      if (!data.data) {\n        return null;\n      }\n\n      return data.data.user_id;\n    } catch (error) {\n      log.error(\"Failed to get user ID:\", error);\n      return null;\n    }\n  },\n\n  getCurrentUserInfo: async (): Promise<AuthInfoResponse | null> => {\n    try {\n      const response = await fetchWithAuth(API_ENDPOINTS.user.currentUserInfo);\n      if (!response.ok) {\n        log.warn(\"Failed to get user Info, HTTP status code:\", response.status);\n        return null;\n      }\n\n      const data = await response.json();\n\n      if (!data.data) {\n        return null;\n      }\n      const userData = {\n        user: {\n          id: data.data.user.user_id,\n          groupIds: data.data.user.group_ids,\n          tenantId: data.data.user.tenant_id,\n          email: data.data.user.user_email,\n          role: data.data.user.user_role,\n          avatarUrl: data.data.user.avatarUrl,\n          permissions: data.data.user.permissions.map((permission:string) => permission.toLowerCase()),\n          accessibleRoutes: data.data.user.accessibleRoutes.map((router:string) => router.toLowerCase()),\n        }\n      }\n      return userData as AuthInfoResponse;\n    } catch (error) {\n      log.error(\"Failed to get user Info:\", error);\n      return null;\n    }\n  },\n\n  refreshToken: async (): Promise<boolean> => {\n    if (!checkSessionValid()) return false;\n\n    const newSession = await sessionService.refreshToken();\n    return newSession !== null;\n  },\n};\n"
  },
  {
    "path": "frontend/services/configService.ts",
    "content": "import { API_ENDPOINTS, fetchWithErrorHandling } from \"./api\";\nimport { GlobalConfig } from \"@/types/modelConfig\";\nimport { getAuthHeaders } from \"@/lib/auth\";\n\n/**\n * Config Service\n * Provides methods to fetch and save configuration data from backend API\n * This service only handles API communication, no localStorage or caching\n */\nexport class ConfigService {\n  /**\n   * Fetch config from backend API\n   * @returns Raw config data from backend\n   */\n  async fetchConfig(): Promise<unknown> {\n    const response = await fetchWithErrorHandling(API_ENDPOINTS.config.load, {\n      method: \"GET\",\n      headers: getAuthHeaders(),\n    });\n\n    const result = await response.json();\n    return result.config;\n  }\n\n  /**\n   * Save config to backend API\n   * @param config GlobalConfig to save\n   */\n  async saveConfig(config: GlobalConfig): Promise<void> {\n    await fetchWithErrorHandling(API_ENDPOINTS.config.save, {\n      method: \"POST\",\n      headers: getAuthHeaders(),\n      body: JSON.stringify(config),\n    });\n  }\n}\n\n// Export singleton instance\nexport const configService = new ConfigService();\n"
  },
  {
    "path": "frontend/services/conversationService.ts",
    "content": "import { API_ENDPOINTS, ApiError } from './api';\n\nimport { chatConfig } from '@/const/chatConfig';\nimport type { \n  ConversationListResponse, \n  ConversationListItem,\n  ApiConversationResponse\n} from '@/types/conversation';\nimport { getAuthHeaders, fetchWithAuth } from '@/lib/auth';\nimport log from \"@/lib/logger\";\n\n// @ts-ignore\nconst fetch = fetchWithAuth;\n\n// This helper function now ALWAYS connects through the current host and port.\n// This relies on our custom `server.js` to handle the proxying in all environments.\nconst getWebSocketUrl = (endpoint: string): string => {\n  const protocol = window.location.protocol === 'https:' ? 'wss:' : 'ws:';\n  const wsUrl = `${protocol}//${window.location.host}${endpoint}`;\n  log.log(`[WebSocket] Connecting via server proxy: ${wsUrl}`);\n  return wsUrl;\n};\n\nexport const conversationService = {\n  // Get conversation list\n  async getList(): Promise<ConversationListItem[]> {\n    const response = await fetch(API_ENDPOINTS.conversation.list);\n\n    const data = await response.json() as ConversationListResponse;\n    \n    if (data.code === 0) {\n      return data.data || [];\n    }\n    \n    throw new ApiError(data.code, data.message);\n  },\n\n  // Create new conversation\n  async create(title?: string) {\n    const response = await fetch(API_ENDPOINTS.conversation.create, {\n      method: 'PUT',\n      headers: getAuthHeaders(),\n      body: JSON.stringify({\n        title: title || \"new conversation\"\n      }),\n    });\n\n    const data = await response.json();\n    \n    if (data.code === 0) {\n      return data.data;\n    }\n    \n    throw new ApiError(data.code, data.message);\n  },\n\n  // Rename conversation\n  async rename(conversationId: number, name: string) {\n    const response = await fetch(API_ENDPOINTS.conversation.rename, {\n      method: 'POST',\n      headers: getAuthHeaders(),\n      body: JSON.stringify({\n        conversation_id: conversationId,\n        name,\n      }),\n    });\n\n    const data = await response.json();\n    \n    if (data.code === 0) {\n      return data.data;\n    }\n    \n    throw new ApiError(data.code, data.message);\n  },\n\n  // Get conversation details\n  async getDetail(conversationId: number, signal?: AbortSignal): Promise<ApiConversationResponse> {\n    try {\n      const response = await fetch(API_ENDPOINTS.conversation.detail(conversationId), {\n        method: 'GET',\n        headers: getAuthHeaders(),\n        signal,\n      });\n\n      // If the signal is aborted before the request returns, return early\n      if (signal?.aborted) {\n        return { code: -1, message: \"请求已取消\", data: [] };\n      }\n\n      const data = await response.json();\n      \n      if (data.code === 0) {\n        return data;\n      }\n      \n      throw new ApiError(data.code, data.message);\n    } catch (error: any) {\n      // If the error is caused by canceling the request, return a specific response instead of throwing an error\n      if (error instanceof Error && error.name === 'AbortError' || signal?.aborted) {\n        return { code: -1, message: \"请求已取消\", data: [] };\n      }\n      throw error;\n    }\n  },\n\n  // Delete conversation\n  async delete(conversationId: number) {\n    const response = await fetch(API_ENDPOINTS.conversation.delete(conversationId), {\n      method: 'DELETE',\n      headers: getAuthHeaders(),\n    });\n\n    const data = await response.json();\n    \n    if (data.code === 0) {\n      return true;\n    }\n    \n    throw new ApiError(data.code, data.message);\n  },\n\n  // Stop conversation agent\n  async stop(conversationId: number) {\n    const response = await fetch(API_ENDPOINTS.agent.stop(conversationId), {\n      method: 'GET',\n      headers: getAuthHeaders(),\n    });\n\n    const data = await response.json();\n    \n    if (data.status === 'success') {\n      return true;\n    }\n    \n    throw new ApiError(data.code || -1, data.message || data.detail || '停止失败');\n  },\n\n  // STT related functionality\n  stt: {\n    // Create WebSocket connection\n    createWebSocket(): WebSocket {\n      return new WebSocket(getWebSocketUrl(API_ENDPOINTS.stt.ws));\n    },\n\n    // Process audio data\n    processAudioData(inputData: Float32Array): Int16Array {\n      const pcmData = new Int16Array(inputData.length);\n      for (let i = 0; i < inputData.length; i++) {\n        const s = Math.max(-1, Math.min(1, inputData[i]));\n        pcmData[i] = s < 0 ? s * 0x8000 : s * 0x7FFF;\n      }\n      return pcmData;\n    },\n\n    // Get audio configuration\n    getAudioConstraints() {\n      return {\n        audio: {\n          sampleRate: 16000,\n          channelCount: 1,\n          echoCancellation: true,\n          noiseSuppression: true,\n          autoGainControl: true,\n        }\n      };\n    },\n\n    // Get audio context configuration\n    getAudioContextOptions() {\n      return {\n        sampleRate: 16000,\n      };\n    }\n  },\n\n  // Add TTS related functionality\n  tts: {\n    // Create WebSocket connection\n    // TODO: explain why we need to create a WebSocket connection for TTS\n    createWebSocket(): WebSocket {\n      return new WebSocket(getWebSocketUrl(API_ENDPOINTS.tts.ws));\n    },\n\n    // TTS playback status management\n    createTTSService() {\n      const audioRef = { current: null as HTMLAudioElement | null };\n      const wsRef = { current: null as WebSocket | null };\n      const audioChunksRef = { current: [] as Uint8Array[] };\n      const mediaSourceRef = { current: null as MediaSource | null };\n      const sourceBufferRef = { current: null as SourceBuffer | null };\n      const isStreamingPlaybackRef = { current: false };\n      const pendingChunksRef = { current: [] as Uint8Array[] };\n\n      // Play audio (main entry)\n      const playAudio = async (text: string, onStatusChange?: (status: typeof chatConfig.ttsStatus[keyof typeof chatConfig.ttsStatus]) => void): Promise<void> => {\n        if (!text) return;\n\n        try {\n          onStatusChange?.(chatConfig.ttsStatus.GENERATING);\n          audioChunksRef.current = [];\n          pendingChunksRef.current = [];\n\n          if (!window.MediaSource) {\n            await playAudioTraditional(text, onStatusChange);\n            return;\n          }\n\n          await initStreamingPlayback(onStatusChange);\n          \n          const wsUrl = getWebSocketUrl(API_ENDPOINTS.tts.ws);\n          const ws = new WebSocket(wsUrl);\n          wsRef.current = ws;\n\n          ws.onopen = () => {\n            if (ws.readyState === WebSocket.OPEN) {\n              ws.send(JSON.stringify({ text }));\n            }\n          };\n\n          ws.onmessage = async (event) => {\n            try {\n              if (event.data instanceof Blob) {\n                const arrayBuffer = await event.data.arrayBuffer();\n                const uint8Array = new Uint8Array(arrayBuffer);\n                if (uint8Array.length > 0) {\n                  if (isStreamingPlaybackRef.current) {\n                    await handleStreamingAudioChunk(uint8Array, onStatusChange);\n                  } else {\n                    audioChunksRef.current.push(uint8Array);\n                  }\n                }\n              } else if (event.data instanceof ArrayBuffer) {\n                const uint8Array = new Uint8Array(event.data);\n                if (uint8Array.length > 0) {\n                  if (isStreamingPlaybackRef.current) {\n                    await handleStreamingAudioChunk(uint8Array, onStatusChange);\n                  } else {\n                    audioChunksRef.current.push(uint8Array);\n                  }\n                }\n              } else if (typeof event.data === 'string') {\n                try {\n                  const data = JSON.parse(event.data);\n                  if (data.status === 'completed') {\n                    if (isStreamingPlaybackRef.current) {\n                      await finalizeStreamingPlayback();\n                    } else {\n                      if (audioChunksRef.current.length > 0) {\n                        playAudioChunks(onStatusChange);\n                      } else {\n                        onStatusChange?.(chatConfig.ttsStatus.ERROR);\n                        setTimeout(() => onStatusChange?.(chatConfig.ttsStatus.IDLE), 2000);\n                      }\n                    }\n                    \n                    setTimeout(() => {\n                      if (wsRef.current) {\n                        wsRef.current.close();\n                        wsRef.current = null;\n                      }\n                    }, 100);\n                  } else if (data.error) {\n                    onStatusChange?.(chatConfig.ttsStatus.ERROR);\n                    setTimeout(() => onStatusChange?.(chatConfig.ttsStatus.IDLE), 2000);\n                    cleanupStreamingPlayback();\n                    if (wsRef.current) {\n                      wsRef.current.close();\n                      wsRef.current = null;\n                    }\n                  }\n                } catch (e) {\n                  // JSON parse error\n                }\n              }\n            } catch (error) {\n              // Message handling error\n            }\n          };\n\n          ws.onerror = () => {\n            onStatusChange?.(chatConfig.ttsStatus.ERROR);\n            setTimeout(() => onStatusChange?.(chatConfig.ttsStatus.IDLE), 2000);\n            cleanupStreamingPlayback();\n          };\n\n          ws.onclose = (event) => {\n            wsRef.current = null;\n            if (event.code !== 1000) {\n              onStatusChange?.(chatConfig.ttsStatus.ERROR);\n              setTimeout(() => onStatusChange?.(chatConfig.ttsStatus.IDLE), 2000);\n              cleanupStreamingPlayback();\n            }\n          };\n\n        } catch (error) {\n          onStatusChange?.(chatConfig.ttsStatus.ERROR);\n          setTimeout(() => onStatusChange?.(chatConfig.ttsStatus.IDLE), 2000);\n          cleanupStreamingPlayback();\n        }\n      };\n\n      // Initialize streaming playback\n      const initStreamingPlayback = async (onStatusChange?: (status: typeof chatConfig.ttsStatus[keyof typeof chatConfig.ttsStatus]) => void): Promise<void> => {\n        return new Promise((resolve, reject) => {\n          try {\n            const mediaSource = new MediaSource();\n            mediaSourceRef.current = mediaSource;\n            \n            if (audioRef.current) {\n              audioRef.current.pause();\n              audioRef.current = null;\n            }\n            \n            const audio = new Audio();\n            audio.src = URL.createObjectURL(mediaSource);\n            audioRef.current = audio;\n            \n            audio.oncanplay = () => {\n              onStatusChange?.('playing');\n            };\n            \n            audio.onended = () => {\n              onStatusChange?.('idle');\n              cleanupStreamingPlayback();\n            };\n            \n            audio.onerror = () => {\n              onStatusChange?.('error');\n              setTimeout(() => onStatusChange?.('idle'), 2000);\n              cleanupStreamingPlayback();\n            };\n            \n            mediaSource.addEventListener('sourceopen', () => {\n              try {\n                const sourceBuffer = mediaSource.addSourceBuffer('audio/mpeg');\n                sourceBufferRef.current = sourceBuffer;\n                \n                sourceBuffer.addEventListener('updateend', () => {\n                  processPendingChunks();\n                });\n                \n                sourceBuffer.addEventListener('error', () => {\n                  onStatusChange?.('error');\n                  setTimeout(() => onStatusChange?.('idle'), 2000);\n                });\n                \n                isStreamingPlaybackRef.current = true;\n                resolve();\n                \n              } catch (error) {\n                reject(error);\n              }\n            });\n            \n            mediaSource.addEventListener('sourceclose', () => {\n              isStreamingPlaybackRef.current = false;\n            });\n            \n            mediaSource.addEventListener('error', (e) => {\n              reject(e);\n            });\n            \n          } catch (error) {\n            reject(error);\n          }\n        });\n      };\n\n      // Process streaming audio chunks\n      const handleStreamingAudioChunk = async (chunk: Uint8Array, onStatusChange?: (status: typeof chatConfig.ttsStatus[keyof typeof chatConfig.ttsStatus]) => void) => {\n        if (!isStreamingPlaybackRef.current || !sourceBufferRef.current) {\n          pendingChunksRef.current.push(chunk);\n          return;\n        }\n        \n        try {\n          if (sourceBufferRef.current.updating) {\n            pendingChunksRef.current.push(chunk);\n          } else {\n            sourceBufferRef.current.appendBuffer(chunk.buffer.slice(0) as ArrayBuffer);\n            \n            if (audioRef.current && audioRef.current.paused && audioRef.current.readyState >= 2) {\n              try {\n                await audioRef.current.play();\n                onStatusChange?.('playing');\n              } catch (playError) {\n                // Auto-play failed\n              }\n            }\n          }\n        } catch (error) {\n          cleanupStreamingPlayback();\n          audioChunksRef.current.push(chunk);\n          audioChunksRef.current.push(...pendingChunksRef.current);\n          pendingChunksRef.current = [];\n          isStreamingPlaybackRef.current = false;\n        }\n      };\n\n      // Process pending audio chunks\n      const processPendingChunks = () => {\n        if (!sourceBufferRef.current || sourceBufferRef.current.updating || pendingChunksRef.current.length === 0) {\n          return;\n        }\n        \n        try {\n          const chunk = pendingChunksRef.current.shift();\n          if (chunk) {\n            sourceBufferRef.current.appendBuffer(chunk.buffer.slice(0) as ArrayBuffer);\n          }\n        } catch (error) {\n          // Processing error\n        }\n      };\n\n      // Complete streaming playback\n      const finalizeStreamingPlayback = async () => {\n        if (pendingChunksRef.current.length > 0 && sourceBufferRef.current) {\n          const waitForPending = () => {\n            return new Promise<void>((resolve) => {\n              const checkPending = () => {\n                if (pendingChunksRef.current.length === 0 || !sourceBufferRef.current?.updating) {\n                  resolve();\n                } else {\n                  setTimeout(checkPending, 100);\n                }\n              };\n              checkPending();\n            });\n          };\n          \n          await waitForPending();\n        }\n        \n        if (mediaSourceRef.current && mediaSourceRef.current.readyState === 'open') {\n          try {\n            mediaSourceRef.current.endOfStream();\n          } catch (error) {\n            // End stream error\n          }\n        }\n      };\n\n      // Clean up streaming playback resources\n      const cleanupStreamingPlayback = () => {\n        isStreamingPlaybackRef.current = false;\n        pendingChunksRef.current = [];\n        \n        if (sourceBufferRef.current) {\n          sourceBufferRef.current = null;\n        }\n        \n        if (mediaSourceRef.current) {\n          try {\n            if (mediaSourceRef.current.readyState === 'open') {\n              mediaSourceRef.current.endOfStream();\n            }\n          } catch (error) {\n            // Already closed\n          }\n          mediaSourceRef.current = null;\n        }\n        \n        if (audioRef.current && audioRef.current.src.startsWith('blob:')) {\n          URL.revokeObjectURL(audioRef.current.src);\n        }\n      };\n\n      // Traditional playback method\n      const playAudioTraditional = async (text: string, onStatusChange?: (status: typeof chatConfig.ttsStatus[keyof typeof chatConfig.ttsStatus]) => void) => {\n        audioChunksRef.current = [];\n        const wsUrl = getWebSocketUrl(API_ENDPOINTS.tts.ws);\n        const ws = new WebSocket(wsUrl);\n        wsRef.current = ws;\n\n        ws.onopen = () => {\n          if (ws.readyState === WebSocket.OPEN) {\n            ws.send(JSON.stringify({ text }));\n          }\n        };\n\n        ws.onmessage = async (event) => {\n          try {\n            if (event.data instanceof Blob) {\n              const arrayBuffer = await event.data.arrayBuffer();\n              const uint8Array = new Uint8Array(arrayBuffer);\n              if (uint8Array.length > 0) {\n                audioChunksRef.current.push(uint8Array);\n              }\n            } else if (event.data instanceof ArrayBuffer) {\n              const uint8Array = new Uint8Array(event.data);\n              if (uint8Array.length > 0) {\n                audioChunksRef.current.push(uint8Array);\n              }\n            } else if (typeof event.data === 'string') {\n              try {\n                const data = JSON.parse(event.data);\n                if (data.status === 'completed') {\n                  setTimeout(() => {\n                    if (wsRef.current) {\n                      wsRef.current.close();\n                      wsRef.current = null;\n                    }\n                  }, 100);\n                  \n                  if (audioChunksRef.current.length > 0) {\n                    playAudioChunks(onStatusChange);\n                  } else {\n                    onStatusChange?.(chatConfig.ttsStatus.ERROR);\n                    setTimeout(() => onStatusChange?.(chatConfig.ttsStatus.IDLE), 2000);\n                  }\n                } else if (data.error) {\n                  onStatusChange?.(chatConfig.ttsStatus.ERROR);\n                  setTimeout(() => onStatusChange?.(chatConfig.ttsStatus.IDLE), 2000);\n                  if (wsRef.current) {\n                    wsRef.current.close();\n                    wsRef.current = null;\n                  }\n                }\n              } catch (e) {\n                // Parse error\n              }\n            }\n          } catch (error) {\n            // Message error\n          }\n        };\n\n        ws.onerror = () => {\n          onStatusChange?.(chatConfig.ttsStatus.ERROR);\n          setTimeout(() => onStatusChange?.(chatConfig.ttsStatus.IDLE), 2000);\n        };\n\n        ws.onclose = () => {\n          wsRef.current = null;\n        };\n      };\n\n      // Play audio chunks (traditional mode)\n      const playAudioChunks = (onStatusChange?: (status: typeof chatConfig.ttsStatus[keyof typeof chatConfig.ttsStatus]) => void) => {\n        if (audioChunksRef.current.length === 0) {\n          onStatusChange?.('idle');\n          return;\n        }\n\n        try {\n          const validChunks = audioChunksRef.current.filter(chunk => chunk && chunk.length > 0);\n          \n          if (validChunks.length === 0) {\n            onStatusChange?.(chatConfig.ttsStatus.ERROR);\n            setTimeout(() => onStatusChange?.(chatConfig.ttsStatus.IDLE), 2000);\n            return;\n          }\n\n          const chunkHashes = new Set();\n          const uniqueChunks = [];\n          \n          for (let i = 0; i < validChunks.length; i++) {\n            const chunk = validChunks[i];\n            const hashData = chunk.length > 32 ? \n              Array.from(chunk.slice(0, 16)).concat(Array.from(chunk.slice(-16))) :\n              Array.from(chunk);\n            const hash = hashData.join(',');\n            \n            if (!chunkHashes.has(hash)) {\n              chunkHashes.add(hash);\n              uniqueChunks.push(chunk);\n            }\n          }\n\n          const totalLength = uniqueChunks.reduce((sum, chunk) => sum + chunk.length, 0);\n          const combinedArray = new Uint8Array(totalLength);\n          let offset = 0;\n          \n          for (let i = 0; i < uniqueChunks.length; i++) {\n            const chunk = uniqueChunks[i];\n            \n            if (offset + chunk.length > totalLength) {\n              continue;\n            }\n            \n            combinedArray.set(chunk, offset);\n            offset += chunk.length;\n          }\n\n          const finalArray = offset === totalLength ? combinedArray : combinedArray.slice(0, offset);\n          \n          if (finalArray.length < 100) {\n            onStatusChange?.(chatConfig.ttsStatus.ERROR);\n            setTimeout(() => onStatusChange?.(chatConfig.ttsStatus.IDLE), 2000);\n            return;\n          }\n          \n          const hasValidMP3Header = finalArray.length >= 3 && (\n            (finalArray[0] === 0xFF && (finalArray[1] & 0xE0) === 0xE0) ||\n            (finalArray[0] === 0x49 && finalArray[1] === 0x44 && finalArray[2] === 0x33)\n          );\n          \n          if (!hasValidMP3Header) {\n            onStatusChange?.(chatConfig.ttsStatus.ERROR);\n            setTimeout(() => onStatusChange?.(chatConfig.ttsStatus.IDLE), 2000);\n            return;\n          }\n\n          const audioBlob = new Blob([finalArray], { type: 'audio/mpeg' });\n          const audioUrl = URL.createObjectURL(audioBlob);\n          \n          if (audioRef.current) {\n            audioRef.current.pause();\n            audioRef.current = null;\n          }\n\n          const audio = new Audio(audioUrl);\n          audioRef.current = audio;\n\n          audio.oncanplay = () => {\n            onStatusChange?.('playing');\n          };\n\n          audio.onended = () => {\n            onStatusChange?.(chatConfig.ttsStatus.IDLE);\n            URL.revokeObjectURL(audioUrl);\n            audioRef.current = null;\n            audioChunksRef.current = [];\n          };\n\n          audio.onerror = () => {\n            onStatusChange?.(chatConfig.ttsStatus.ERROR);\n            setTimeout(() => onStatusChange?.(chatConfig.ttsStatus.IDLE), 2000);\n            URL.revokeObjectURL(audioUrl);\n            audioRef.current = null;\n            audioChunksRef.current = [];\n          };\n\n          audio.play().then(() => {\n            onStatusChange?.('playing');\n          }).catch(() => {\n            onStatusChange?.(chatConfig.ttsStatus.ERROR);\n            setTimeout(() => onStatusChange?.(chatConfig.ttsStatus.IDLE), 2000);\n            URL.revokeObjectURL(audioUrl);\n            audioChunksRef.current = [];\n          });\n\n        } catch (error) {\n          onStatusChange?.(chatConfig.ttsStatus.ERROR);\n          setTimeout(() => onStatusChange?.(chatConfig.ttsStatus.IDLE), 2000);\n          audioChunksRef.current = [];\n        }\n      };\n\n      // stop audio\n      const stopAudio = () => {\n        if (wsRef.current) {\n          wsRef.current.close();\n          wsRef.current = null;\n        }\n\n        if (audioRef.current) {\n          audioRef.current.pause();\n          audioRef.current = null;\n        }\n\n        cleanupStreamingPlayback();\n        audioChunksRef.current = [];\n      };\n\n      // clean up resources\n      const cleanup = () => {\n        stopAudio();\n        cleanupStreamingPlayback();\n      };\n\n      return {\n        playAudio,\n        stopAudio,\n        cleanup\n      };\n    }\n  },\n\n  // Add file preprocess method\n  async preprocessFiles(query: string, files: File[], conversationId?: number, signal?: AbortSignal): Promise<ReadableStreamDefaultReader<Uint8Array>> {\n    try {\n      // Use FormData to handle file upload\n      const formData = new FormData();\n      formData.append('query', query);\n\n      // Add files\n      if (files && files.length > 0) {\n        files.forEach(file => {\n          formData.append('files', file);\n        });\n      }\n\n      // Build URL with conversation_id as query parameter\n      let url = API_ENDPOINTS.storage.preprocess;\n      if (conversationId !== undefined && conversationId !== null) {\n        url += `?conversation_id=${conversationId}`;\n      }\n\n      const response = await fetch(url, {\n        method: 'POST',\n        body: formData,\n        signal,\n      });\n\n      // Check if the response is successful\n      if (!response.ok) {\n        // Handle specific HTTP status codes with error codes for internationalization\n        if (response.status === 413) {\n          throw new Error('REQUEST_ENTITY_TOO_LARGE');\n        } else {\n          throw new Error('FILE_PARSING_FAILED');\n        \n        }\n      }\n\n      if (!response.body) {\n        throw new Error(\"Response body is null\");\n      }\n\n      return response.body.getReader();\n    } catch (error) {\n      // If the error is caused by canceling the request, return a specific response instead of throwing an error\n      if (error instanceof Error && error.name === 'AbortError') {\n        throw new Error('Request has been aborted');\n      }\n      // Other errors are thrown normally\n      throw error;\n    }\n  },\n\n  // Add run agent method\n  async runAgent(params: {\n    query: string;\n    conversation_id: number;\n    is_set: boolean;\n    history: Array<{ role: string; content: string; }>;\n    files?: File[];  // Add optional files parameter\n    minio_files?: Array<{\n      object_name: string;\n      name: string;\n      type: string;\n      size: number;\n      url?: string;\n      description?: string; // Add file description field\n    }>; // Update to complete attachment information object array\n    agent_id?: number; // Add agent_id parameter\n    is_debug?: boolean; // Add debug mode parameter\n  }, signal?: AbortSignal) {\n    try {\n      // Construct request parameters\n      const requestParams: any = {\n        query: params.query,\n        conversation_id: params.conversation_id,\n        is_set: params.is_set,\n        history: params.history,\n        minio_files: params.minio_files || null,\n        is_debug: params.is_debug || false,\n      };\n      \n      // Only include agent_id if it has a value\n      if (params.agent_id !== undefined && params.agent_id !== null) {\n        requestParams.agent_id = params.agent_id;\n      }\n\n      const response = await fetch(API_ENDPOINTS.agent.run, {\n        method: 'POST',\n        headers: getAuthHeaders(),\n        body: JSON.stringify(requestParams),\n        signal,\n      });\n\n      if (!response.body) {\n        throw new Error(\"Response body is null\");\n      }\n\n      return response.body.getReader();\n    } catch (error: any) {\n      // If the error is caused by canceling the request, return a specific response instead of throwing an error\n      if (error instanceof Error && error.name === 'AbortError') {\n        log.log('Agent请求已被取消');\n        throw new Error('请求已被取消');\n      }\n      // Other errors are thrown normally\n      throw error;\n    }\n  },\n\n  // Generate conversation title from user question\n  async generateTitle(params: {\n    conversation_id: number;\n    question: string;\n  }) {\n    const response = await fetch(API_ENDPOINTS.conversation.generateTitle, {\n      method: 'POST',\n      headers: getAuthHeaders(),\n      body: JSON.stringify(params),\n    });\n\n    const data = await response.json();\n\n    if (data.code === 0) {\n      return data.data;\n    }\n\n    throw new ApiError(data.code, data.message);\n  },\n\n  // Like/dislike message\n  async updateOpinion(params: { message_id: number; opinion: 'Y' | 'N' | null }) {\n    const response = await fetch(API_ENDPOINTS.conversation.opinion, {\n      method: 'POST',\n      headers: getAuthHeaders(),\n      body: JSON.stringify(params),\n    });\n    const data = await response.json();\n    if (data.code === 0) {\n      return true;\n    }\n    throw new ApiError(data.code, data.message);\n  },\n\n  // Get message_id by conversationId and messageIndex\n  async getMessageId(conversationId: number, messageIndex: number) {\n    const response = await fetch(API_ENDPOINTS.conversation.messageId, {\n      method: 'POST',\n      headers: getAuthHeaders(),\n      body: JSON.stringify({\n        conversation_id: conversationId,\n        message_index: messageIndex\n      })\n    });\n\n    const data = await response.json();\n    \n    if (data.code === 0) {\n      return data.data;\n    }\n    \n    throw new ApiError(data.code, data.message);\n  },\n}; "
  },
  {
    "path": "frontend/services/groupService.ts",
    "content": "import { API_ENDPOINTS, ApiError } from \"./api\";\nimport { fetchWithAuth } from \"@/lib/auth\";\nimport type { User } from \"./userService\";\n\n// Types\nexport interface Group {\n  group_id: number;\n  group_name: string;\n  group_description?: string;\n  tenant_id?: string;\n  created_by?: string;\n  created_at?: string;\n  updated_at?: string;\n  user_count?: number;\n}\n\nexport interface CreateGroupRequest {\n  group_name: string;\n  group_description?: string;\n}\n\nexport interface UpdateGroupRequest {\n  group_name?: string;\n  group_description?: string;\n}\n\nexport interface GroupListResponse {\n  data: Group[];\n  pagination?: {\n    page: number;\n    page_size: number;\n    total: number;\n    total_pages: number;\n  };\n  total?: number;\n  message: string;\n}\n\nexport interface GroupDetailResponse {\n  data: Group;\n  message: string;\n}\n\nexport interface GroupMembersResponse {\n  data: User[];\n}\n\nexport interface CreateGroupResponse {\n  data: Group;\n  message: string;\n}\n\n/**\n * List groups for a specific tenant with pagination\n * If page and pageSize are not provided, returns all groups\n */\nexport async function listGroups(\n  tenantId: string,\n  page?: number,\n  pageSize?: number\n): Promise<{ groups: Group[]; total: number; totalPages?: number }> {\n  try {\n    const requestBody: any = {\n      tenant_id: tenantId,\n      sort_by: \"created_at\",\n      sort_order: \"desc\",\n    };\n\n    // Only include pagination parameters if both are provided\n    if (page !== undefined && pageSize !== undefined) {\n      requestBody.page = page;\n      requestBody.page_size = pageSize;\n    }\n\n    // Use backend's /groups/list endpoint with tenant_id in request body\n    const response = await fetchWithAuth(API_ENDPOINTS.groups.list, {\n      method: \"POST\",\n      body: JSON.stringify(requestBody),\n    });\n\n    const result: GroupListResponse = await response.json();\n    return {\n      groups: result.data,\n      total: result.pagination?.total || result.total || 0,\n      totalPages: result.pagination?.total_pages,\n    };\n  } catch (error) {\n    if (error instanceof ApiError) {\n      throw error;\n    }\n    throw new ApiError(500, \"Failed to fetch groups\");\n  }\n}\n\n/**\n * Get group details by group ID\n */\nexport async function getGroup(groupId: number): Promise<Group> {\n  try {\n    const response = await fetchWithAuth(\n      API_ENDPOINTS.groups.detail(groupId),\n      {\n        method: \"GET\",\n      }\n    );\n\n    const result: GroupDetailResponse = await response.json();\n    return result.data;\n  } catch (error) {\n    if (error instanceof ApiError) {\n      throw error;\n    }\n    throw new ApiError(500, \"Failed to fetch group details\");\n  }\n}\n\n/**\n * Get group members\n */\nexport async function getGroupMembers(groupId: number): Promise<User[]> {\n  try {\n    const response = await fetchWithAuth(\n      API_ENDPOINTS.groups.members(groupId),\n      {\n        method: \"GET\",\n      }\n    );\n\n    const result: GroupMembersResponse = await response.json();\n    return result.data || [];\n  } catch (error) {\n    if (error instanceof ApiError) {\n      throw error;\n    }\n    throw new ApiError(500, \"Failed to fetch group members\");\n  }\n}\n\n/**\n * Create a new group in a tenant\n */\nexport async function createGroup(\n  tenantId: string,\n  payload: CreateGroupRequest\n): Promise<Group> {\n  try {\n    const response = await fetchWithAuth(API_ENDPOINTS.groups.create, {\n      method: \"POST\",\n      body: JSON.stringify({\n        tenant_id: tenantId,\n        ...payload,\n      }),\n    });\n\n    const result: CreateGroupResponse = await response.json();\n    return result.data;\n  } catch (error) {\n    if (error instanceof ApiError) {\n      throw error;\n    }\n    throw new ApiError(500, \"Failed to create group\");\n  }\n}\n\n/**\n * Update group information\n */\nexport async function updateGroup(\n  groupId: number,\n  payload: UpdateGroupRequest\n): Promise<void> {\n  try {\n    await fetchWithAuth(API_ENDPOINTS.groups.update(groupId), {\n      method: \"PUT\",\n      body: JSON.stringify(payload),\n    });\n  } catch (error) {\n    if (error instanceof ApiError) {\n      throw error;\n    }\n    throw new ApiError(500, \"Failed to update group\");\n  }\n}\n\n/**\n * Delete a group\n */\nexport async function deleteGroup(groupId: number): Promise<void> {\n  try {\n    await fetchWithAuth(API_ENDPOINTS.groups.delete(groupId), {\n      method: \"DELETE\",\n    });\n  } catch (error) {\n    if (error instanceof ApiError) {\n      throw error;\n    }\n    throw new ApiError(500, \"Failed to delete group\");\n  }\n}\n\n/**\n * Add user to group\n */\nexport async function addUserToGroup(\n  groupId: number,\n  userId: string\n): Promise<void> {\n  try {\n    await fetchWithAuth(API_ENDPOINTS.groups.addMember(groupId), {\n      method: \"POST\",\n      body: JSON.stringify({ user_id: userId }),\n    });\n  } catch (error) {\n    if (error instanceof ApiError) {\n      throw error;\n    }\n    throw new ApiError(500, \"Failed to add user to group\");\n  }\n}\n\n/**\n * Remove user from group\n */\nexport async function removeUserFromGroup(\n  groupId: number,\n  userId: string\n): Promise<void> {\n  try {\n    await fetchWithAuth(\n      API_ENDPOINTS.groups.removeMember(groupId, userId),\n      {\n        method: \"DELETE\",\n      }\n    );\n  } catch (error) {\n    if (error instanceof ApiError) {\n      throw error;\n    }\n    throw new ApiError(500, \"Failed to remove user from group\");\n  }\n}\n\n/**\n * Update group members by setting the exact list of users\n */\nexport async function updateGroupMembers(\n  groupId: number,\n  userIds: string[]\n): Promise<{ added_count: number; removed_count: number; total_members: number }> {\n  try {\n    const response = await fetchWithAuth(\n      API_ENDPOINTS.groups.members(groupId),\n      {\n        method: \"PUT\",\n        body: JSON.stringify({ user_ids: userIds }),\n      }\n    );\n\n    const result = await response.json();\n    return result.data;\n  } catch (error) {\n    if (error instanceof ApiError) {\n      throw error;\n    }\n    throw new ApiError(500, \"Failed to update group members\");\n  }\n}\n\n/**\n * Get tenant's default group ID\n */\nexport async function getTenantDefaultGroupId(tenantId: string): Promise<number | null> {\n  try {\n    const response = await fetchWithAuth(\n      API_ENDPOINTS.groups.default(tenantId),\n      {\n        method: \"GET\",\n      }\n    );\n\n    const result = await response.json();\n    return result.data?.default_group_id || null;\n  } catch (error) {\n    if (error instanceof ApiError) {\n      throw error;\n    }\n    throw new ApiError(500, \"Failed to get tenant default group\");\n  }\n}\n"
  },
  {
    "path": "frontend/services/invitationService.ts",
    "content": "import { API_ENDPOINTS, ApiError } from \"./api\";\nimport { fetchWithAuth } from \"@/lib/auth\";\n\n// Types\nexport interface Invitation {\n  invitation_id: number;\n  invitation_code: string;\n  code_type: string;\n  group_ids?: number[];\n  capacity: number;\n  used_times: number; // Backend includes this in list response\n  expiry_date?: string;\n  status: string;\n  tenant_id?: string;\n  created_by?: string;\n  created_at?: string;\n  updated_at?: string;\n}\n\nexport interface InvitationListRequest {\n  tenant_id?: string;\n  page?: number;\n  page_size?: number;\n  sort_by?: string;\n  sort_order?: string;\n}\n\nexport interface InvitationListResponse {\n  data: {\n    items: Invitation[];\n    total: number;\n    page: number;\n    page_size: number;\n    total_pages: number;\n  };\n  message: string;\n}\n\nexport interface CreateInvitationRequest {\n  tenant_id: string;\n  code_type: string;\n  invitation_code?: string;\n  group_ids?: number[];\n  capacity: number;\n  expiry_date?: string;\n}\n\nexport interface UpdateInvitationRequest {\n  capacity?: number;\n  expiry_date?: string;\n  group_ids?: number[];\n}\n\nexport interface CreateInvitationResponse {\n  data: Invitation;\n  message: string;\n}\n\nexport interface InvitationDetailResponse {\n  data: Invitation;\n  message: string;\n}\n\n/**\n * List invitations with pagination\n */\nexport async function listInvitations(\n  request: InvitationListRequest\n): Promise<{\n  items: Invitation[];\n  total: number;\n  page: number;\n  page_size: number;\n  total_pages: number;\n}> {\n  try {\n    const response = await fetchWithAuth(API_ENDPOINTS.invitations.list, {\n      method: \"POST\",\n      body: JSON.stringify({\n        tenant_id: request.tenant_id,\n        page: request.page || 1,\n        page_size: request.page_size || 20,\n        sort_by: request.sort_by,\n        sort_order: request.sort_order,\n      }),\n    });\n\n    const result: InvitationListResponse = await response.json();\n    return result.data;\n  } catch (error) {\n    if (error instanceof ApiError) {\n      throw error;\n    }\n    throw new ApiError(500, \"Failed to fetch invitations\");\n  }\n}\n\n/**\n * Create a new invitation\n */\nexport async function createInvitation(\n  payload: CreateInvitationRequest\n): Promise<Invitation> {\n  try {\n    const response = await fetchWithAuth(API_ENDPOINTS.invitations.create, {\n      method: \"POST\",\n      body: JSON.stringify(payload),\n    });\n\n    const result: CreateInvitationResponse = await response.json();\n    return result.data;\n  } catch (error) {\n    if (error instanceof ApiError) {\n      throw error;\n    }\n    throw new ApiError(500, \"Failed to create invitation\");\n  }\n}\n\n/**\n * Update an invitation\n */\nexport async function updateInvitation(\n  invitationCode: string,\n  payload: UpdateInvitationRequest\n): Promise<void> {\n  try {\n    await fetchWithAuth(API_ENDPOINTS.invitations.update(invitationCode), {\n      method: \"PUT\",\n      body: JSON.stringify(payload),\n    });\n  } catch (error) {\n    if (error instanceof ApiError) {\n      throw error;\n    }\n    throw new ApiError(500, \"Failed to update invitation\");\n  }\n}\n\n/**\n * Delete an invitation\n */\nexport async function deleteInvitation(invitationCode: string): Promise<void> {\n  try {\n    await fetchWithAuth(API_ENDPOINTS.invitations.delete(invitationCode), {\n      method: \"DELETE\",\n    });\n  } catch (error) {\n    if (error instanceof ApiError) {\n      throw error;\n    }\n    throw new ApiError(500, \"Failed to delete invitation\");\n  }\n}\n\n/**\n * Check if invitation code already exists\n */\nexport async function checkInvitationCodeExists(invitationCode: string): Promise<boolean> {\n  try {\n    const response = await fetchWithAuth(API_ENDPOINTS.invitations.check(invitationCode), {\n      method: \"GET\",\n    });\n\n    if (!response.ok) {\n      // If 404, code doesn't exist\n      if (response.status === 404) {\n        return false;\n      }\n      throw new ApiError(response.status, \"Failed to check invitation code\");\n    }\n\n    const result = await response.json();\n    return result.data?.exists ?? false;\n  } catch (error) {\n    if (error instanceof ApiError) {\n      throw error;\n    }\n    throw new ApiError(500, \"Failed to check invitation code\");\n  }\n}"
  },
  {
    "path": "frontend/services/knowledgeBasePollingService.ts",
    "content": "// Knowledge Base Polling Service - Encapsulates polling logic, separates business logic from components\n\nimport knowledgeBaseService from './knowledgeBaseService';\n\nimport { NON_TERMINAL_STATUSES } from '@/const/knowledgeBase';\nimport { Document, KnowledgeBase } from '@/types/knowledgeBase';\nimport log from '@/lib/logger';\n\nclass KnowledgeBasePollingService {\n  private pollingIntervals: Map<string, NodeJS.Timeout> = new Map();\n  private knowledgeBasePollingInterval: number = 1000; // 1 second\n  private documentPollingInterval: number = 3000; // 3 seconds\n  private maxKnowledgeBasePolls: number = 60; // Maximum 60 polling attempts\n  private maxDocumentPolls: number = 200; // Maximum 200 polling attempts (10 minutes for long-running tasks)\n  private activeKnowledgeBaseId: string | null = null; // Record current active knowledge base ID\n  private pendingRequests: Map<string, Promise<Document[]>> = new Map();\n  \n  // Debounce timers for batching multiple rapid requests\n  private debounceTimers: Map<string, NodeJS.Timeout> = new Map();\n\n  // Set current active knowledge base ID \n  setActiveKnowledgeBase(kbId: string | null): void {\n    this.activeKnowledgeBaseId = kbId;\n  }\n\n  // Start document status polling, only update documents for specified knowledge base\n  startDocumentStatusPolling(kbId: string, callback: (documents: Document[]) => void): void {\n    log.debug(`Start polling documents status for knowledge base ${kbId}`);\n    \n    // Clear existing polling first\n    this.stopPolling(kbId);\n    \n    // Initialize polling counter\n    let pollCount = 0;\n    \n    // Track if we're in extended polling mode (after initial timeout)\n    let isExtendedPolling = false;\n    \n    // Define the polling logic function\n    const pollDocuments = async () => {\n      try {\n        // Increment polling counter only if not in extended polling mode\n        if (!isExtendedPolling) {\n          pollCount++;\n        }\n        \n        // If there is an active knowledge base and polling knowledge base doesn't match active one, stop polling\n        if (this.activeKnowledgeBaseId !== null && this.activeKnowledgeBaseId !== kbId) {\n          this.stopPolling(kbId);\n          return;\n        }\n        \n        // Use request deduplication to avoid concurrent duplicate requests\n        let documents: Document[];\n        const requestKey = `poll:${kbId}`;\n        \n        // Check if there's already a pending request for this KB\n        const pendingRequest = this.pendingRequests.get(requestKey);\n        if (pendingRequest) {\n          // Reuse existing request to avoid duplicate API calls\n          documents = await pendingRequest;\n        } else {\n          // Create new request and track it\n          const requestPromise = knowledgeBaseService.getAllFiles(kbId);\n          this.pendingRequests.set(requestKey, requestPromise);\n          \n          try {\n            documents = await requestPromise;\n          } finally {\n            // Clean up after request completes\n            this.pendingRequests.delete(requestKey);\n          }\n        }\n        \n        // Call callback function with latest documents first to ensure UI updates immediately\n        callback(documents);\n        \n        // Check if any documents are in processing\n        const hasProcessingDocs = documents.some(doc => \n          NON_TERMINAL_STATUSES.includes(doc.status)\n        );\n        \n        // If exceeded maximum polling count and still processing, switch to extended polling mode\n        if (pollCount > this.maxDocumentPolls && hasProcessingDocs && !isExtendedPolling) {\n          log.warn(`Document polling for knowledge base ${kbId} exceeded ${this.maxDocumentPolls} attempts, switching to extended polling mode (reduced frequency)`);\n          isExtendedPolling = true;\n          // Stop the current interval and restart with longer interval\n          this.stopPolling(kbId);\n          // Continue polling with reduced frequency (every 10 seconds)\n          const extendedInterval = setInterval(pollDocuments, 10000);\n          this.pollingIntervals.set(kbId, extendedInterval);\n          return;\n        }\n        \n        // If there are processing documents, continue polling\n        if (hasProcessingDocs) {\n          log.log('Documents processing, continue polling');\n          // Continue polling, don't stop\n          return;\n        }\n        \n        // All documents processed, stopping polling\n        log.log('All documents processed, stopping polling');\n        this.stopPolling(kbId);\n        \n        // Trigger knowledge base list update\n        this.triggerKnowledgeBaseListUpdate(true);\n      } catch (error) {\n        log.error(`Error polling knowledge base ${kbId} document status:`, error);\n      }\n    };\n    \n    // Execute the first poll immediately to sync with knowledge base polling\n    pollDocuments();\n    \n    // Create recurring polling\n    const interval = setInterval(pollDocuments, this.documentPollingInterval);\n    \n    // Save polling identifier\n    this.pollingIntervals.set(kbId, interval);\n  }\n\n  /**\n   * Handle polling timeout - mark all processing documents as failed\n   * @param kbId Knowledge base ID\n   * @param timeoutType Type of timeout (for logging purposes)\n   * @param callback Optional callback to update UI with modified documents\n   */\n  private async handlePollingTimeout(\n    kbId: string, \n    timeoutType: 'document' | 'knowledgeBase',\n    callback?: (documents: Document[]) => void\n  ): Promise<void> {\n    try {\n      log.log(`Handling ${timeoutType} polling timeout for knowledge base ${kbId}`);\n      // Get current documents\n      const documents = await knowledgeBaseService.getAllFiles(kbId);\n      // Find all documents that are still in processing state\n      const processingDocs = documents.filter(doc => \n        NON_TERMINAL_STATUSES.includes(doc.status)\n      );\n      if (processingDocs.length > 0) {\n        log.warn(`${timeoutType} polling timed out with ${processingDocs.length} documents still processing:`, \n          processingDocs.map(doc => ({ name: doc.name, status: doc.status })));\n        if (callback) {\n          callback(documents);\n        }\n        this.triggerDocumentsUpdate(kbId, documents);\n      } else {\n        // Should forward documents to UI even if there is no processing document, prevent UI stuck\n        this.triggerDocumentsUpdate(kbId, documents);\n      }\n    } catch (error) {\n      log.error(`Error handling ${timeoutType} polling timeout for knowledge base ${kbId}:`, error);\n      // Even if we can't get documents, we should still log the timeout\n      if (timeoutType === 'knowledgeBase') {\n        log.warn(`Knowledge base ${kbId} polling timed out, but could not retrieve documents to update their status`);\n      }\n    }\n  }\n  \n  /**\n   * Poll to check if knowledge base is ready (exists and stats updated).\n   * @param kbName Knowledge base name\n   * @param originalDocumentCount The document count before upload (for incremental upload)\n   * @param expectedIncrement The number of new files uploaded\n   */\n  pollForKnowledgeBaseReady(\n    kbId: string,\n    kbName: string,\n    originalDocumentCount: number = 0,\n    expectedIncrement: number = 0\n  ): Promise<KnowledgeBase> {\n    return new Promise(async (resolve, reject) => {\n      let count = 0;\n      const checkForStats = async () => {\n        try {\n          const result = await knowledgeBaseService.getKnowledgeBasesInfo(true);\n          const kbs = result.knowledgeBases;\n          const kb = kbs.find(k => k.id === kbId || k.name === kbName);\n\n          // Check if KB exists and its stats are populated\n          if (kb) {\n            log.log(`Knowledge base ${kbName} detected.`);\n            this.triggerKnowledgeBaseListUpdate(true);\n            resolve(kb);\n            return;\n          }\n\n          count++;\n          if (count < this.maxKnowledgeBasePolls) {\n            log.log(`Knowledge base ${kbName} not ready yet, continue waiting...`);\n            setTimeout(checkForStats, this.knowledgeBasePollingInterval);\n          } else {\n            log.error(`Knowledge base ${kbName} readiness check timed out after ${this.maxKnowledgeBasePolls} attempts.`);\n            \n            // Handle knowledge base polling timeout - mark related tasks as failed\n            await this.handlePollingTimeout(kbId, 'knowledgeBase');\n            // Push documents to UI\n            try {\n              const documents = await knowledgeBaseService.getAllFiles(kbId);\n              this.triggerDocumentsUpdate(kbId, documents);\n            } catch (e) {\n              // Ignore error\n            }\n            \n            reject(new Error(`创建知识库 ${kbName} 超时失败。`));\n          }\n        } catch (error) {\n          log.error(`Failed to get stats for knowledge base ${kbName}:`, error);\n          count++;\n          if (count < this.maxKnowledgeBasePolls) {\n            setTimeout(checkForStats, this.knowledgeBasePollingInterval);\n          } else {\n            // Handle knowledge base polling timeout on error as well\n            await this.handlePollingTimeout(kbId, 'knowledgeBase');\n            // Push documents to UI\n            try {\n              const documents = await knowledgeBaseService.getAllFiles(kbId);\n              this.triggerDocumentsUpdate(kbId, documents);\n            } catch (e) {\n              // Ignore error\n            }\n            reject(new Error(`获取知识库 ${kbName} 状态失败。`));\n          }\n        }\n      };\n      checkForStats();\n    });\n  }\n\n  // Simplified method for new knowledge base creation workflow\n  async handleNewKnowledgeBaseCreation(kbId: string, kbName: string, originalDocumentCount: number = 0, expectedIncrement: number = 0, callback: (kb: KnowledgeBase) => void) {\n    // Start document polling\n    this.startDocumentStatusPolling(kbId, (documents) => {\n      this.triggerDocumentsUpdate(kbId, documents);\n    });\n    try {\n      // Start knowledge base polling parallelly\n      const populatedKB = await this.pollForKnowledgeBaseReady(kbId, kbName, originalDocumentCount, expectedIncrement);\n      // callback with populated knowledge base when everything is ready\n      callback(populatedKB);\n    } catch (error) {\n      log.error(`Failed to handle new knowledge base creation for ${kbName}:`, error);\n      throw error;\n    }\n  }\n  \n  // Stop polling for specific knowledge base\n  stopPolling(kbId: string): void {\n    const interval = this.pollingIntervals.get(kbId);\n    if (interval) {\n      clearInterval(interval);\n      this.pollingIntervals.delete(kbId);\n    }\n  }\n  \n  // Stop all polling\n  stopAllPolling(): void {\n    this.pollingIntervals.forEach((interval) => {\n      clearInterval(interval);\n    });\n    this.pollingIntervals.clear();\n    \n    // Clear pending requests and debounce timers to prevent memory leaks\n    this.pendingRequests.clear();\n    this.debounceTimers.forEach((timer) => {\n      clearTimeout(timer);\n    });\n    this.debounceTimers.clear();\n  }\n  \n  // Trigger knowledge base list update (optionally force refresh)\n  triggerKnowledgeBaseListUpdate(forceRefresh: boolean = false): void {\n    // Trigger custom event to notify knowledge base list update\n    window.dispatchEvent(new CustomEvent('knowledgeBaseDataUpdated', {\n      detail: { forceRefresh }\n    }));\n  }\n  \n  // Trigger document list update - only update documents for specified knowledge base\n  triggerDocumentsUpdate(kbId: string, documents: Document[]): void {\n    // If there is an active knowledge base and update knowledge base doesn't match active one, ignore this update\n    if (this.activeKnowledgeBaseId !== null && this.activeKnowledgeBaseId !== kbId) {\n      return;\n    }\n    \n    window.dispatchEvent(new CustomEvent('documentsUpdated', {\n      detail: { \n        kbId,\n        documents\n      }\n    }));\n  }\n}\n\n// Export singleton instance\nconst knowledgeBasePollingService = new KnowledgeBasePollingService();\nexport default knowledgeBasePollingService;"
  },
  {
    "path": "frontend/services/knowledgeBaseService.ts",
    "content": "// Unified encapsulation of knowledge base related API calls\n\nimport i18n from \"i18next\";\n\nimport { API_ENDPOINTS, ApiError } from \"./api\";\n\nimport { NAME_CHECK_STATUS } from \"@/const/agentConfig\";\nimport { FILE_TYPES, EXTENSION_TO_TYPE_MAP } from \"@/const/knowledgeBase\";\nimport {\n  Document,\n  KnowledgeBase,\n  KnowledgeBaseCreateParams,\n  KnowledgeBasesWithDataMateStatus,\n  DataMateSyncError,\n} from \"@/types/knowledgeBase\";\nimport { getAuthHeaders, fetchWithAuth } from \"@/lib/auth\";\nimport log from \"@/lib/logger\";\n\n// @ts-ignore\nconst fetch: typeof fetchWithAuth = fetchWithAuth;\n\n// Knowledge base service class\nclass KnowledgeBaseService {\n  // Check Elasticsearch health (force refresh, no caching for setup page)\n  async checkHealth(): Promise<boolean> {\n    try {\n      // Force refresh in setup page, no caching\n      const response = await fetch(API_ENDPOINTS.knowledgeBase.health, {\n        headers: getAuthHeaders(),\n      });\n      const data = await response.json();\n\n      const isHealthy =\n        data.status === \"healthy\" && data.elasticsearch === \"connected\";\n\n      // No longer update cache, get latest status every time\n\n      return isHealthy;\n    } catch (error) {\n      log.error(\"Elasticsearch health check failed:\", error);\n      // No longer cache error status\n      return false;\n    }\n  }\n\n  // Sync Dify knowledge bases\n  async syncDifyKnowledgeBases(\n    difyApiBase: string,\n    apiKey: string\n  ): Promise<{\n    indices: string[];\n    count: number;\n    indices_info: any[];\n  }> {\n    // Call backend proxy endpoint to avoid CORS issues\n    const url = new URL(API_ENDPOINTS.dify.datasets, window.location.origin);\n    url.searchParams.set(\"dify_api_base\", difyApiBase);\n    url.searchParams.set(\"api_key\", apiKey);\n\n    const response = await fetch(url.toString(), {\n      method: \"GET\",\n      headers: getAuthHeaders(),\n    });\n\n    const result = await response.json();\n\n    // Check for error response from middleware (has code field)\n    if (result.code !== undefined && result.code !== 0) {\n      // Use backend error code and message\n      const errorCode = result.code || response.status;\n      const errorMessage = result.message || \"Failed to fetch Dify datasets\";\n      log.error(\"Dify API error:\", { code: errorCode, message: errorMessage });\n\n      // Use ApiError for proper error handling with i18n support\n      throw new ApiError(errorCode, errorMessage);\n    }\n\n    // Success: result is directly the data (indices, count, indices_info)\n    return {\n      indices: result.indices || [],\n      count: result.count || 0,\n      indices_info: result.indices_info || [],\n    };\n  }\n\n  // Get Dify knowledge bases as KnowledgeBase array\n  async getDifyKnowledgeBases(\n    difyApiBase: string,\n    apiKey: string\n  ): Promise<KnowledgeBase[]> {\n    try {\n      const syncResult = await this.syncDifyKnowledgeBases(difyApiBase, apiKey);\n\n      if (!syncResult.indices_info || syncResult.indices_info.length === 0) {\n        return [];\n      }\n\n      // Transform to KnowledgeBase format\n      const difyKnowledgeBases: KnowledgeBase[] = syncResult.indices_info.map(\n        (indexInfo: any) => {\n          const stats = indexInfo.stats?.base_info || {};\n          return {\n            id: indexInfo.name,\n            name: indexInfo.display_name || indexInfo.name,\n            display_name: indexInfo.display_name || indexInfo.name,\n            description: \"Dify knowledge base\",\n            documentCount: stats.doc_count || 0,\n            chunkCount: stats.chunk_count || 0,\n            createdAt: stats.creation_date || null,\n            updatedAt: stats.update_date || stats.creation_date || null,\n            embeddingModel: stats.embedding_model || \"unknown\",\n            knowledge_sources: \"dify\",\n            ingroup_permission: \"\",\n            group_ids: [],\n            store_size: stats.store_size || \"\",\n            process_source: stats.process_source || \"Dify\",\n            avatar: \"\",\n            chunkNum: 0,\n            language: \"\",\n            nickname: \"\",\n            parserId: \"\",\n            permission: \"\",\n            tokenNum: 0,\n            source: \"dify\",\n            tenant_id: \"\",\n          };\n        }\n      );\n\n      return difyKnowledgeBases;\n    } catch (error) {\n      log.error(\"Failed to get Dify knowledge bases:\", error);\n      throw error;\n    }\n  }\n\n  // Get iData knowledge spaces\n  async getIdataKnowledgeSpaces(\n    idataApiBase: string,\n    apiKey: string,\n    userId: string\n  ): Promise<Array<{ id: string; name: string }>> {\n    try {\n      const url = new URL(API_ENDPOINTS.idata.knowledgeSpaces, window.location.origin);\n      url.searchParams.set(\"idata_api_base\", idataApiBase);\n      url.searchParams.set(\"api_key\", apiKey);\n      url.searchParams.set(\"user_id\", userId);\n\n      const response = await fetch(url.toString(), {\n        method: \"GET\",\n        headers: getAuthHeaders(),\n      });\n\n      const result = await response.json();\n\n      // Check for error response from middleware (has code field)\n      if (result.code !== undefined && result.code !== 0) {\n        const errorCode = result.code || response.status;\n        const errorMessage = result.message || \"Failed to fetch iData knowledge spaces\";\n        log.error(\"iData API error:\", { code: errorCode, message: errorMessage });\n        throw new ApiError(errorCode, errorMessage);\n      }\n\n      // Success: result is directly the array of knowledge spaces\n      return Array.isArray(result) ? result : [];\n    } catch (error) {\n      log.error(\"Failed to get iData knowledge spaces:\", error);\n      throw error;\n    }\n  }\n\n  // Sync iData knowledge bases (datasets)\n  async syncIdataKnowledgeBases(\n    idataApiBase: string,\n    apiKey: string,\n    userId: string,\n    knowledgeSpaceId: string\n  ): Promise<{\n    indices: string[];\n    count: number;\n    indices_info: any[];\n  }> {\n    try {\n      const url = new URL(API_ENDPOINTS.idata.datasets, window.location.origin);\n      url.searchParams.set(\"idata_api_base\", idataApiBase);\n      url.searchParams.set(\"api_key\", apiKey);\n      url.searchParams.set(\"user_id\", userId);\n      url.searchParams.set(\"knowledge_space_id\", knowledgeSpaceId);\n\n      const response = await fetch(url.toString(), {\n        method: \"GET\",\n        headers: getAuthHeaders(),\n      });\n\n      const result = await response.json();\n\n      // Check for error response from middleware (has code field)\n      if (result.code !== undefined && result.code !== 0) {\n        const errorCode = result.code || response.status;\n        const errorMessage = result.message || \"Failed to fetch iData datasets\";\n        log.error(\"iData API error:\", { code: errorCode, message: errorMessage });\n        throw new ApiError(errorCode, errorMessage);\n      }\n\n      // Success: result is directly the data (indices, count, indices_info)\n      return {\n        indices: result.indices || [],\n        count: result.count || 0,\n        indices_info: result.indices_info || [],\n      };\n    } catch (error) {\n      log.error(\"Failed to sync iData knowledge bases:\", error);\n      throw error;\n    }\n  }\n\n  // Get iData knowledge bases as KnowledgeBase array\n  async getIdataKnowledgeBases(\n    idataApiBase: string,\n    apiKey: string,\n    userId: string,\n    knowledgeSpaceId: string\n  ): Promise<KnowledgeBase[]> {\n    try {\n      const syncResult = await this.syncIdataKnowledgeBases(\n        idataApiBase,\n        apiKey,\n        userId,\n        knowledgeSpaceId\n      );\n\n      if (!syncResult.indices_info || syncResult.indices_info.length === 0) {\n        return [];\n      }\n\n      // Transform to KnowledgeBase format\n      const idataKnowledgeBases: KnowledgeBase[] = syncResult.indices_info.map(\n        (indexInfo: any) => {\n          const stats = indexInfo.stats?.base_info || {};\n          return {\n            id: indexInfo.name,\n            name: indexInfo.display_name || indexInfo.name,\n            display_name: indexInfo.display_name || indexInfo.name,\n            description: \"iData knowledge base\",\n            documentCount: stats.doc_count || 0,\n            chunkCount: stats.chunk_count || 0,\n            createdAt: stats.creation_date || null,\n            updatedAt: stats.update_date || stats.creation_date || null,\n            embeddingModel: stats.embedding_model || \"unknown\",\n            knowledge_sources: \"idata\",\n            ingroup_permission: \"\",\n            group_ids: [],\n            store_size: stats.store_size || \"\",\n            process_source: stats.process_source || \"iData\",\n            avatar: \"\",\n            chunkNum: 0,\n            language: \"\",\n            nickname: \"\",\n            parserId: \"\",\n            permission: \"\",\n            tokenNum: 0,\n            source: \"idata\",\n            tenant_id: \"\",\n          };\n        }\n      );\n\n      return idataKnowledgeBases;\n    } catch (error) {\n      log.error(\"Failed to get iData knowledge bases:\", error);\n      throw error;\n    }\n  }\n\n  // Sync DataMate knowledge bases and create local records\n  async syncDataMateAndCreateRecords(datamateUrl?: string): Promise<{\n    indices: string[];\n    count: number;\n    indices_info: any[];\n    created_records: any[];\n  }> {\n    try {\n      const body = datamateUrl\n        ? JSON.stringify({ datamate_url: datamateUrl })\n        : undefined;\n\n      const response = await fetch(\n        API_ENDPOINTS.datamate.syncDatamateKnowledges,\n        {\n          method: \"POST\",\n          headers: getAuthHeaders(),\n          ...(body && { body }),\n        }\n      );\n\n      const data = await response.json();\n\n      if (!response.ok) {\n        throw new Error(\n          data.detail ||\n            \"Failed to sync DataMate knowledge bases and create records\"\n        );\n      }\n\n      return data;\n    } catch (error) {\n      log.error(\n        \"Failed to sync DataMate knowledge bases and create records:\",\n        error\n      );\n      throw error;\n    }\n  }\n\n  /**\n   * Test connection to DataMate server\n   * @param datamateUrl Optional DataMate URL to test (uses configured URL if not provided)\n   * @returns Promise<{success: boolean, error?: string}>\n   */\n  async testDataMateConnection(\n    datamateUrl?: string\n  ): Promise<{ success: boolean; error?: string }> {\n    try {\n      const body = datamateUrl\n        ? JSON.stringify({ datamate_url: datamateUrl })\n        : undefined;\n\n      const response = await fetch(API_ENDPOINTS.datamate.testConnection, {\n        method: \"POST\",\n        headers: getAuthHeaders(),\n        ...(body && { body }),\n      });\n\n      if (response.ok) {\n        return { success: true };\n      }\n\n      const errorData = await response.json();\n      return {\n        success: false,\n        error: errorData.detail || \"Connection failed\",\n      };\n    } catch (error) {\n      log.error(\"Failed to test DataMate connection:\", error);\n      return {\n        success: false,\n        error:\n          error instanceof Error ? error.message : \"Connection test failed\",\n      };\n    }\n  }\n\n  // Sync Dify knowledge bases\n  async syncDifyDatasets(\n    difyApiBase: string,\n    apiKey: string\n  ): Promise<{\n    indices: string[];\n    count: number;\n    indices_info: any[];\n  }> {\n    try {\n      // Normalize URL by removing trailing slash\n      const normalizedApiBase = difyApiBase.replace(/\\/+$/, \"\");\n      const url = `${normalizedApiBase}/v1/datasets`;\n\n      const response = await fetch(url, {\n        method: \"GET\",\n        headers: {\n          Authorization: `Bearer ${apiKey}`,\n          \"Content-Type\": \"application/json\",\n        },\n      });\n\n      if (!response.ok) {\n        throw new Error(`Dify API error: ${response.status}`);\n      }\n\n      const result = await response.json();\n      const datasetsData = result.data || [];\n\n      // Transform to internal format\n      const indices: string[] = [];\n      const indices_info: any[] = [];\n\n      for (const dataset of datasetsData) {\n        const datasetId = dataset.id;\n        if (!datasetId) continue;\n\n        indices.push(datasetId);\n\n        indices_info.push({\n          name: datasetId,\n          display_name: dataset.name,\n          stats: {\n            base_info: {\n              doc_count: dataset.document_count || 0,\n              chunk_count: 0,\n              store_size: \"\",\n              process_source: \"Dify\",\n              embedding_model: dataset.embedding_model || \"\",\n              embedding_dim: 0,\n              creation_date: (dataset.created_at || 0) * 1000,\n              update_date: (dataset.updated_at || 0) * 1000,\n            },\n            search_performance: {\n              total_search_count: 0,\n              hit_count: 0,\n            },\n          },\n        });\n      }\n\n      return {\n        indices,\n        count: indices.length,\n        indices_info,\n      };\n    } catch (error) {\n      log.error(\"Failed to sync Dify datasets:\", error);\n      throw error;\n    }\n  }\n\n  // Get knowledge bases with stats from all sources (very slow, don't use it)\n  async getKnowledgeBasesInfo(\n    skipHealthCheck = false,\n    includeDataMateSync = true,\n    tenantId: string | null = null,\n    datamateUrl: string | null = null\n  ): Promise<KnowledgeBasesWithDataMateStatus> {\n    try {\n      const knowledgeBases: KnowledgeBase[] = [];\n      let dataMateSyncError: string | undefined;\n\n      // Get knowledge bases from Elasticsearch\n      try {\n        // First check Elasticsearch health (unless skipped)\n        if (!skipHealthCheck) {\n          const isElasticsearchHealthy = await this.checkHealth();\n          if (!isElasticsearchHealthy) {\n            log.warn(\"Elasticsearch service unavailable\");\n          } else {\n            // Build URL with tenant_id parameter for filtering\n            const url = new URL(\n              `${API_ENDPOINTS.knowledgeBase.indices}?include_stats=true`,\n              window.location.origin\n            );\n            if (tenantId) {\n              url.searchParams.set(\"tenant_id\", tenantId);\n            }\n            const response = await fetch(url.toString(), {\n              headers: getAuthHeaders(),\n            });\n            const data = await response.json();\n\n            log.log(\"Elasticsearch indices response:\", data);\n\n            if (data.indices && data.indices_info) {\n              log.log(\n                \"Processing indices_info:\",\n                data.indices_info.length,\n                \"items\"\n              );\n              // Convert Elasticsearch indices to knowledge base format\n              const esKnowledgeBases = data.indices_info.map(\n                (indexInfo: any) => {\n                  const stats = indexInfo.stats?.base_info || {};\n                  // Backend returns:\n                  // - name: internal index_name\n                  // - display_name: user-facing knowledge_name (fallback to index_name)\n                  // - update_time: timestamp from database for sorting\n                  const kbId = indexInfo.name;\n                  const kbName = indexInfo.display_name || indexInfo.name;\n\n                  return {\n                    id: kbId,\n                    name: kbName,\n                    display_name: indexInfo.display_name || indexInfo.name,\n                    description: \"Elasticsearch index\",\n                    documentCount: stats.doc_count || 0,\n                    chunkCount: stats.chunk_count || 0,\n                    createdAt: stats.creation_date || null,\n                    // Use update_time from database for sorting, fallback to ES update_date\n                    updatedAt:\n                      indexInfo.update_time ||\n                      stats.update_date ||\n                      stats.creation_date ||\n                      null,\n                    embeddingModel: stats.embedding_model || \"unknown\",\n                    knowledge_sources:\n                      indexInfo.knowledge_sources || \"elasticsearch\",\n                    ingroup_permission: indexInfo.ingroup_permission || \"\",\n                    group_ids: indexInfo.group_ids || [],\n                    store_size: stats.store_size || \"\",\n                    process_source: stats.process_source || \"\",\n                    avatar: \"\",\n                    chunkNum: 0,\n                    language: \"\",\n                    nickname: \"\",\n                    parserId: \"\",\n                    permission: indexInfo.permission || \"\",\n                    tokenNum: 0,\n                    source: \"nexent\",\n                    tenant_id: indexInfo.tenant_id,\n                  };\n                }\n              );\n              log.log(\"Converted knowledge bases:\", esKnowledgeBases);\n              knowledgeBases.push(...esKnowledgeBases);\n            } else {\n              log.log(\n                \"Skipping indices processing:\",\n                \"indices exists:\",\n                !!data.indices,\n                \"indices_info exists:\",\n                !!data.indices_info,\n                \"indices length:\",\n                data.indices?.length,\n                \"indices_info length:\",\n                data.indices_info?.length\n              );\n            }\n          }\n        }\n      } catch (error) {\n        log.error(\"Failed to get Elasticsearch indices:\", error);\n      }\n\n      // Sync DataMate knowledge bases and get the synced data (only if enabled and URL is configured)\n      if (includeDataMateSync) {\n        if (!datamateUrl || datamateUrl.trim() === \"\") {\n          // Skip DataMate sync if URL is not configured\n          log.info(\n            \"DataMate URL not configured, skipping DataMate knowledge base sync\"\n          );\n        } else {\n          try {\n            const syncResult = await this.syncDataMateAndCreateRecords();\n            if (syncResult.indices_info) {\n              // Convert synced DataMate indices to knowledge base format\n              const datamateKnowledgeBases: KnowledgeBase[] =\n                syncResult.indices_info.map((indexInfo: any) => {\n                  const stats = indexInfo.stats?.base_info || {};\n                  const kbId = indexInfo.name;\n                  const kbName = indexInfo.display_name || indexInfo.name;\n\n                  return {\n                    id: kbId,\n                    name: kbName,\n                    display_name: indexInfo.display_name || indexInfo.name,\n                    description: \"DataMate knowledge base\",\n                    documentCount: stats.doc_count || 0,\n                    chunkCount: stats.chunk_count || 0,\n                    createdAt: stats.creation_date || null,\n                    updatedAt: stats.update_date || stats.creation_date || null,\n                    embeddingModel: stats.embedding_model || \"unknown\",\n                    knowledge_sources:\n                      indexInfo.knowledge_sources || \"datamate\",\n                    ingroup_permission: indexInfo.ingroup_permission || \"\",\n                    group_ids: indexInfo.group_ids || [],\n                    store_size: stats.store_size || \"\",\n                    process_source: stats.process_source || \"\",\n                    avatar: \"\",\n                    chunkNum: 0,\n                    language: \"\",\n                    nickname: \"\",\n                    parserId: \"\",\n                    permission: indexInfo.permission || \"\",\n                    tokenNum: 0,\n                    source: \"datamate\",\n                    tenant_id: indexInfo.tenant_id,\n                  };\n                });\n              knowledgeBases.push(...datamateKnowledgeBases);\n            }\n          } catch (error) {\n            // Store the error message for DataMate sync failure\n            const errorMessage =\n              error instanceof Error ? error.message : String(error);\n            dataMateSyncError = errorMessage;\n            log.error(\"Failed to sync DataMate knowledge bases:\", error);\n          }\n        }\n      }\n\n      return {\n        knowledgeBases,\n        dataMateSyncError,\n      };\n    } catch (error) {\n      log.error(\"Failed to get knowledge base list:\", error);\n      throw error;\n    }\n  }\n\n  async getKnowledgeBases(skipHealthCheck = false): Promise<string[]> {\n    try {\n      // First check Elasticsearch health (unless skipped)\n      if (!skipHealthCheck) {\n        const isElasticsearchHealthy = await this.checkHealth();\n        if (!isElasticsearchHealthy) {\n          log.warn(\"Elasticsearch service unavailable\");\n          return [];\n        }\n      }\n\n      let knowledgeBases = [];\n\n      try {\n        const response = await fetch(`${API_ENDPOINTS.knowledgeBase.indices}`, {\n          headers: getAuthHeaders(),\n        });\n        const data = await response.json();\n        knowledgeBases = data.indices;\n      } catch (error) {\n        log.error(\"Failed to get knowledge base list:\", error);\n      }\n\n      return knowledgeBases;\n    } catch (error) {\n      log.error(\"Failed to get knowledge base list:\", error);\n      throw error;\n    }\n  }\n\n  // Check whether the knowledge base name already exists in Elasticsearch\n  async checkKnowledgeBaseNameExists(name: string): Promise<boolean> {\n    try {\n      const knowledgeBases = await this.getKnowledgeBases(true);\n      return knowledgeBases.includes(name);\n    } catch (error) {\n      log.error(\"Failed to check knowledge base name existence:\", error);\n      throw error;\n    }\n  }\n\n  // New method to check knowledge base name against the new endpoint\n  async checkKnowledgeBaseName(\n    name: string\n  ): Promise<{ status: string; action?: string }> {\n    try {\n      const response = await fetch(API_ENDPOINTS.knowledgeBase.checkName, {\n        method: \"POST\",\n        headers: {\n          ...getAuthHeaders(),\n          \"Content-Type\": \"application/json\",\n        },\n        body: JSON.stringify({ knowledge_name: name }),\n      });\n      if (!response.ok) {\n        const errorData = await response.json();\n        throw new Error(errorData.detail || \"Server error during name check\");\n      }\n      return await response.json();\n    } catch (error) {\n      log.error(\"Failed to check knowledge base name:\", error);\n      // Return a specific status to indicate a failed check, so UI can handle it.\n      return { status: NAME_CHECK_STATUS.CHECK_FAILED };\n    }\n  }\n\n  // Create a new knowledge base\n  async createKnowledgeBase(\n    params: KnowledgeBaseCreateParams\n  ): Promise<KnowledgeBase> {\n    try {\n      // First check Elasticsearch health status to avoid subsequent operation failures\n      const isHealthy = await this.checkHealth();\n      if (!isHealthy) {\n        throw new Error(\n          \"Elasticsearch service unavailable, cannot create knowledge base\"\n        );\n      }\n\n      // Build request body with optional group permission and user groups\n      const requestBody: {\n        name: string;\n        description: string;\n        embeddingModel?: string;\n        ingroup_permission?: string;\n        group_ids?: number[];\n      } = {\n        name: params.name,\n        description: params.description || \"\",\n        embeddingModel: params.embeddingModel || \"\",\n      };\n\n      // Include group permission and user groups if provided\n      if (params.ingroup_permission) {\n        requestBody.ingroup_permission = params.ingroup_permission;\n      }\n      if (params.group_ids && params.group_ids.length > 0) {\n        requestBody.group_ids = params.group_ids;\n      }\n\n      const response = await fetch(\n        API_ENDPOINTS.knowledgeBase.indexDetail(params.name),\n        {\n          method: \"POST\",\n          headers: getAuthHeaders(), // Add user authentication information to obtain the user id\n          body: JSON.stringify(requestBody),\n        }\n      );\n\n      const result = await response.json();\n      // Modify judgment logic, backend returns status field instead of success field\n      if (result.status !== \"success\") {\n        throw new Error(result.message || \"Failed to create knowledge base\");\n      }\n\n      // Create a full KnowledgeBase object with default values\n      return {\n        id: result.id || params.name, // Use returned ID or name as ID\n        name: params.name,\n        description: params.description || null,\n        documentCount: 0,\n        chunkCount: 0,\n        createdAt: new Date().toISOString(),\n        embeddingModel: params.embeddingModel || \"\",\n        avatar: \"\",\n        chunkNum: 0,\n        language: \"\",\n        nickname: \"\",\n        parserId: \"\",\n        permission: \"\",\n        tokenNum: 0,\n        source: params.source || \"elasticsearch\",\n      };\n    } catch (error) {\n      log.error(\"Failed to create knowledge base:\", error);\n      throw error;\n    }\n  }\n\n  // Delete a knowledge base\n  async deleteKnowledgeBase(id: string): Promise<void> {\n    try {\n      // Use REST-style DELETE request to delete index\n      const response = await fetch(\n        API_ENDPOINTS.knowledgeBase.indexDetail(id),\n        {\n          method: \"DELETE\",\n          headers: getAuthHeaders(),\n        }\n      );\n\n      const result = await response.json();\n      if (result.status !== \"success\") {\n        throw new Error(result.message || \"Failed to delete knowledge base\");\n      }\n    } catch (error) {\n      log.error(\"Failed to delete knowledge base:\", error);\n      throw error;\n    }\n  }\n\n  // Get all files from a knowledge base, regardless of the existence of index\n  async getAllFiles(kbId: string, kbSource?: string): Promise<Document[]> {\n    try {\n      let response: Response;\n      let result: any;\n\n      // Determine which API to call based on knowledge base source\n      if (kbSource === \"datamate\") {\n        // Call DataMate files API\n        response = await fetch(API_ENDPOINTS.datamate.files(kbId), {\n          headers: getAuthHeaders(),\n        });\n        result = await response.json();\n      } else {\n        // Call Elasticsearch files API (default behavior)\n        response = await fetch(API_ENDPOINTS.knowledgeBase.listFiles(kbId), {\n          headers: getAuthHeaders(),\n        });\n        result = await response.json();\n      }\n\n      if (result.status !== \"success\") {\n        throw new Error(\"Failed to get file list\");\n      }\n\n      if (!result.files || !Array.isArray(result.files)) {\n        return [];\n      }\n\n      return result.files.map((file: any) => ({\n        id: file.path_or_url,\n        kb_id: kbId,\n        name: file.file,\n        type: this.getFileTypeFromName(file.file || file.path_or_url),\n        size: file.file_size,\n        create_time: file.create_time,\n        chunk_num: file.chunk_count ?? 0,\n        token_num: 0,\n        status: file.status || \"UNKNOWN\",\n        latest_task_id: file.latest_task_id || \"\",\n        error_reason: file.error_reason,\n        // Optional ingestion progress metrics (only present for in-progress files)\n        processed_chunk_num:\n          typeof file.processed_chunk_num === \"number\"\n            ? file.processed_chunk_num\n            : null,\n        total_chunk_num:\n          typeof file.total_chunk_num === \"number\"\n            ? file.total_chunk_num\n            : null,\n      }));\n    } catch (error) {\n      log.error(\"Failed to get all files:\", error);\n      throw error;\n    }\n  }\n\n  // Get file type from filename\n  private getFileTypeFromName(filename: string): string {\n    if (!filename) return FILE_TYPES.UNKNOWN;\n\n    const extension = filename.split(\".\").pop()?.toLowerCase();\n    return (\n      EXTENSION_TO_TYPE_MAP[extension as keyof typeof EXTENSION_TO_TYPE_MAP] ||\n      FILE_TYPES.UNKNOWN\n    );\n  }\n\n  // Upload documents to a knowledge base\n  async uploadDocuments(\n    kbId: string,\n    files: File[],\n    chunkingStrategy?: string\n  ): Promise<void> {\n    try {\n      // Create FormData object\n      const formData = new FormData();\n      formData.append(\"index_name\", kbId);\n      for (let i = 0; i < files.length; i++) {\n        formData.append(\"file\", files[i]);\n      }\n      // Default destination is now Minio\n      formData.append(\"destination\", \"minio\");\n      formData.append(\"folder\", \"knowledge_base\");\n\n      // If chunking strategy is provided, add it to the request\n      if (chunkingStrategy) {\n        formData.append(\"chunking_strategy\", chunkingStrategy);\n      }\n\n      // 1. Upload files\n      const uploadResponse = await fetch(API_ENDPOINTS.knowledgeBase.upload, {\n        method: \"POST\",\n        headers: {\n          \"User-Agent\": \"AgentFrontEnd/1.0\",\n        },\n        body: formData,\n      });\n\n      const uploadResult = await uploadResponse.json();\n\n      if (!uploadResponse.ok) {\n        if (uploadResponse.status === 400) {\n          throw new Error(\n            uploadResult.error || \"File upload validation failed\"\n          );\n        }\n        throw new Error(\"File upload failed\");\n      }\n\n      if (\n        !uploadResult.uploaded_file_paths ||\n        uploadResult.uploaded_file_paths.length === 0\n      ) {\n        throw new Error(\"No files were uploaded successfully.\");\n      }\n\n      // 2. Trigger data processing\n      // Combine uploaded file paths and filenames into the required format\n      const filesToProcess = uploadResult.uploaded_file_paths.map(\n        (filePath: string, index: number) => ({\n          path_or_url: filePath,\n          filename: uploadResult.uploaded_filenames[index],\n        })\n      );\n\n      const processResponse = await fetch(API_ENDPOINTS.knowledgeBase.process, {\n        method: \"POST\",\n        headers: getAuthHeaders(),\n        body: JSON.stringify({\n          index_name: kbId,\n          files: filesToProcess,\n          chunking_strategy: chunkingStrategy,\n          destination: \"minio\",\n        }),\n      });\n\n      if (!processResponse.ok) {\n        const processResult = await processResponse.json();\n        // Handle 500 error (data processing service failure)\n        if (processResponse.status === 500) {\n          const errorMessage = `Data processing service failed: ${\n            processResult.error\n          }. Files: ${processResult.files.join(\", \")}`;\n          throw new Error(errorMessage);\n        }\n        throw new Error(processResult.error || \"Data processing failed\");\n      }\n\n      // Handle successful response (201)\n      if (processResponse.status === 201) {\n        return;\n      }\n\n      throw new Error(\"Unknown response status during processing\");\n    } catch (error) {\n      log.error(\"Failed to upload and process files:\", error);\n      throw error;\n    }\n  }\n\n  // Delete a document from a knowledge base\n  async deleteDocument(docId: string, kbId: string): Promise<void> {\n    try {\n      // Use REST-style DELETE request to delete document, requires knowledge base ID and document path\n      const response = await fetch(\n        `${API_ENDPOINTS.knowledgeBase.indexDetail(\n          kbId\n        )}/documents?path_or_url=${encodeURIComponent(docId)}`,\n        {\n          method: \"DELETE\",\n          headers: getAuthHeaders(),\n        }\n      );\n\n      const result = await response.json();\n      if (result.status !== \"success\") {\n        throw new Error(result.message || \"Failed to delete document\");\n      }\n    } catch (error) {\n      log.error(\"Failed to delete document:\", error);\n      throw error;\n    }\n  }\n\n  // Summary index content\n  async summaryIndex(\n    indexName: string,\n    batchSize: number = 1000,\n    onProgress?: (text: string) => void,\n    modelId?: number\n  ): Promise<string> {\n    try {\n      const baseUrl = API_ENDPOINTS.knowledgeBase.summary(indexName);\n      const url = new URL(baseUrl, window.location.origin);\n      url.searchParams.set(\"batch_size\", batchSize.toString());\n      if (modelId) {\n        url.searchParams.set(\"model_id\", modelId.toString());\n      }\n\n      const response = await fetch(url.toString(), {\n        method: \"POST\",\n        headers: getAuthHeaders(),\n      });\n\n      if (!response.ok) {\n        throw new Error(`HTTP error! status: ${response.status}`);\n      }\n\n      if (!response.body) {\n        throw new Error(\"Response body is null\");\n      }\n\n      // Handle streaming response\n      const reader = response.body.getReader();\n      const decoder = new TextDecoder(\"utf-8\");\n      let summary = \"\";\n\n      while (true) {\n        const { done, value } = await reader.read();\n        if (done) break;\n\n        // Decode binary data to text\n        const chunk = decoder.decode(value, { stream: true });\n\n        // Handle SSE format data\n        const lines = chunk.split(\"\\n\\n\");\n        for (const line of lines) {\n          if (line.trim().startsWith(\"data:\")) {\n            try {\n              // Extract JSON data\n              const jsonStr = line.substring(line.indexOf(\"{\"));\n              const data = JSON.parse(jsonStr);\n\n              if (data.status === \"success\") {\n                // Accumulate message part to summary\n                summary += data.message;\n\n                // If progress callback is provided, call it\n                if (onProgress) {\n                  onProgress(data.message);\n                }\n              } else if (data.status === \"completed\") {\n                // On completed, check if the accumulated summary is empty\n                if (!summary || summary.trim() === \"\") {\n                  // No summary was generated, throw internationalized error\n                  const errorMessage = i18n.t(\n                    \"knowledgeBase.summary.notGenerated\"\n                  );\n                  throw new Error(errorMessage);\n                }\n                // If there is a final message, append it\n                if (data.message && data.message.trim() !== \"\") {\n                  summary += data.message;\n                  if (onProgress) {\n                    onProgress(data.message);\n                  }\n                }\n              } else if (data.status === \"error\") {\n                throw new Error(data.message);\n              }\n            } catch (e) {\n              log.error(\"Failed to parse SSE data:\", e, line);\n            }\n          }\n        }\n      }\n\n      return summary;\n    } catch (error) {\n      log.error(\"Error summarizing index:\", error);\n      throw error;\n    }\n  }\n\n  // Change knowledge base summary\n  async changeSummary(indexName: string, summaryResult: string): Promise<void> {\n    try {\n      const response = await fetch(\n        API_ENDPOINTS.knowledgeBase.changeSummary(indexName),\n        {\n          method: \"POST\",\n          headers: getAuthHeaders(),\n          body: JSON.stringify({\n            summary_result: summaryResult,\n          }),\n        }\n      );\n\n      const data = await response.json();\n\n      if (!response.ok) {\n        throw new Error(\n          data.detail ||\n            data.message ||\n            `HTTP error! status: ${response.status}`\n        );\n      }\n\n      if (data.status !== \"success\") {\n        throw new Error(data.message || \"Failed to change summary\");\n      }\n    } catch (error) {\n      log.error(\"Error changing summary:\", error);\n      if (error instanceof Error) {\n        throw error;\n      }\n      throw new Error(\"Failed to change summary\");\n    }\n  }\n\n  // Get knowledge base summary\n  async getSummary(indexName: string): Promise<string> {\n    try {\n      const response = await fetch(\n        API_ENDPOINTS.knowledgeBase.getSummary(indexName),\n        {\n          method: \"GET\",\n          headers: getAuthHeaders(),\n        }\n      );\n\n      const data = await response.json();\n\n      if (!response.ok) {\n        throw new Error(\n          data.detail ||\n            data.message ||\n            `HTTP error! status: ${response.status}`\n        );\n      }\n\n      if (data.status !== \"success\") {\n        throw new Error(data.message || \"Failed to get summary\");\n      }\n      return data.summary;\n    } catch (error) {\n      log.error(\"Error geting summary:\", error);\n      if (error instanceof Error) {\n        throw error;\n      }\n      throw new Error(\"Failed to get summary\");\n    }\n  }\n\n  // Preview chunks from a knowledge base\n  async previewChunks(\n    indexName: string,\n    batchSize: number = 1000\n  ): Promise<any[]> {\n    try {\n      const url = new URL(\n        API_ENDPOINTS.knowledgeBase.chunks(indexName),\n        window.location.origin\n      );\n      url.searchParams.set(\"batch_size\", batchSize.toString());\n\n      const response = await fetch(url.toString(), {\n        method: \"POST\",\n        headers: getAuthHeaders(),\n      });\n\n      const data = await response.json();\n\n      if (!response.ok) {\n        throw new Error(\n          data.detail ||\n            data.message ||\n            `HTTP error! status: ${response.status}`\n        );\n      }\n\n      if (data.status !== \"success\") {\n        throw new Error(data.message || \"Failed to get chunks\");\n      }\n\n      return data.chunks || [];\n    } catch (error) {\n      log.error(\"Error getting chunks:\", error);\n      if (error instanceof Error) {\n        throw error;\n      }\n      throw new Error(\"Failed to get chunks\");\n    }\n  }\n\n  // Preview chunks from a knowledge base with pagination\n  async previewChunksPaginated(\n    indexName: string,\n    page: number = 1,\n    pageSize: number = 10,\n    pathOrUrl?: string\n  ): Promise<{\n    chunks: any[];\n    total: number;\n    page: number;\n    pageSize: number;\n  }> {\n    try {\n      const url = new URL(\n        API_ENDPOINTS.knowledgeBase.chunks(indexName),\n        window.location.origin\n      );\n      url.searchParams.set(\"page\", page.toString());\n      url.searchParams.set(\"page_size\", pageSize.toString());\n      if (pathOrUrl) {\n        url.searchParams.set(\"path_or_url\", pathOrUrl);\n      }\n\n      const response = await fetch(url.toString(), {\n        method: \"POST\",\n        headers: getAuthHeaders(),\n      });\n\n      const data = await response.json();\n\n      if (!response.ok) {\n        throw new Error(\n          data.detail ||\n            data.message ||\n            `HTTP error! status: ${response.status}`\n        );\n      }\n\n      if (data.status !== \"success\") {\n        throw new Error(data.message || \"Failed to get chunks\");\n      }\n\n      return {\n        chunks: data.chunks || [],\n        total: data.total || 0,\n        page: data.page || page,\n        pageSize: data.page_size || pageSize,\n      };\n    } catch (error) {\n      log.error(\"Error getting chunks with pagination:\", error);\n      if (error instanceof Error) {\n        throw error;\n      }\n      throw new Error(\"Failed to get chunks\");\n    }\n  }\n\n  async createChunk(\n    indexName: string,\n    payload: {\n      content: string;\n      filename?: string;\n      path_or_url: string;\n      metadata?: Record<string, unknown>;\n    }\n  ): Promise<{ chunk_id: string }> {\n    try {\n      const response = await fetch(\n        API_ENDPOINTS.knowledgeBase.chunk(indexName),\n        {\n          method: \"POST\",\n          headers: getAuthHeaders(),\n          body: JSON.stringify(payload),\n        }\n      );\n      const data = await response.json();\n\n      if (data.status !== \"success\") {\n        throw new Error(data.message || \"Failed to create chunk\");\n      }\n\n      return { chunk_id: data.chunk_id };\n    } catch (error) {\n      log.error(\"Error creating chunk:\", error);\n      if (error instanceof Error) {\n        throw error;\n      }\n      throw new Error(\"Failed to create chunk\");\n    }\n  }\n\n  async updateChunk(\n    indexName: string,\n    chunkId: string,\n    payload: {\n      content?: string;\n      filename?: string;\n      metadata?: Record<string, unknown>;\n    }\n  ): Promise<void> {\n    try {\n      const response = await fetch(\n        API_ENDPOINTS.knowledgeBase.chunkDetail(indexName, chunkId),\n        {\n          method: \"PUT\",\n          headers: getAuthHeaders(),\n          body: JSON.stringify(payload),\n        }\n      );\n      const data = await response.json();\n\n      if (data.status !== \"success\") {\n        throw new Error(data.message || \"Failed to update chunk\");\n      }\n    } catch (error) {\n      log.error(\"Error updating chunk:\", error);\n      if (error instanceof Error) {\n        throw error;\n      }\n      throw new Error(\"Failed to update chunk\");\n    }\n  }\n\n  async deleteChunk(indexName: string, chunkId: string): Promise<void> {\n    try {\n      const response = await fetch(\n        API_ENDPOINTS.knowledgeBase.chunkDetail(indexName, chunkId),\n        {\n          method: \"DELETE\",\n          headers: getAuthHeaders(),\n        }\n      );\n      const data = await response.json();\n\n      if (data.status !== \"success\") {\n        throw new Error(data.message || \"Failed to delete chunk\");\n      }\n    } catch (error) {\n      log.error(\"Error deleting chunk:\", error);\n      if (error instanceof Error) {\n        throw error;\n      }\n      throw new Error(\"Failed to delete chunk\");\n    }\n  }\n\n  // Hybrid search to retrieve chunks via combined semantic and accurate scoring\n  async hybridSearch(\n    indexName: string,\n    query: string,\n    options?: { topK?: number; weightAccurate?: number }\n  ): Promise<{\n    results: any[];\n    total?: number;\n    query_time_ms?: number;\n  }> {\n    try {\n      const response = await fetch(API_ENDPOINTS.knowledgeBase.searchHybrid, {\n        method: \"POST\",\n        headers: {\n          ...getAuthHeaders(),\n          \"Content-Type\": \"application/json\",\n        },\n        body: JSON.stringify({\n          query,\n          index_names: [indexName],\n          top_k: options?.topK ?? 10,\n          weight_accurate: options?.weightAccurate ?? 0.5,\n        }),\n      });\n\n      const data = await response.json();\n\n      if (!response.ok) {\n        throw new Error(\n          data.detail ||\n            data.message ||\n            `HTTP error! status: ${response.status}`\n        );\n      }\n\n      return {\n        results: Array.isArray(data.results) ? data.results : [],\n        total: data.total,\n        query_time_ms: data.query_time_ms,\n      };\n    } catch (error) {\n      log.error(\"Failed to execute hybrid search:\", error);\n      if (error instanceof Error) {\n        throw error;\n      }\n      throw new Error(\"Failed to execute hybrid search\");\n    }\n  }\n\n  // Update knowledge base info\n  async updateKnowledgeBase(\n    indexName: string,\n    data: {\n      knowledge_name?: string;\n      ingroup_permission?: string;\n      group_ids?: number[];\n    }\n  ): Promise<void> {\n    try {\n      const response = await fetch(\n        API_ENDPOINTS.knowledgeBase.updateIndex(indexName),\n        {\n          method: \"PATCH\",\n          headers: {\n            ...getAuthHeaders(),\n            \"Content-Type\": \"application/json\",\n          },\n          body: JSON.stringify(data),\n        }\n      );\n\n      const result = await response.json();\n\n      if (!response.ok) {\n        throw new Error(\n          result.detail || result.message || \"Failed to update knowledge base\"\n        );\n      }\n    } catch (error) {\n      log.error(\"Failed to update knowledge base:\", error);\n      if (error instanceof Error) {\n        throw error;\n      }\n      throw new Error(\"Failed to update knowledge base\");\n    }\n  }\n\n  // Get document error information for a document\n  async getDocumentErrorInfo(\n    kbId: string,\n    docId: string\n  ): Promise<{\n    errorCode: string | null;\n  }> {\n    try {\n      const response = await fetch(\n        API_ENDPOINTS.knowledgeBase.getErrorInfo(kbId, docId),\n        {\n          headers: getAuthHeaders(),\n        }\n      );\n\n      if (!response.ok) {\n        throw new Error(`HTTP error! status: ${response.status}`);\n      }\n\n      const data = await response.json();\n      if (data.status !== \"success\") {\n        throw new Error(data.message || \"Failed to get error info\");\n      }\n\n      const errorCode = (data.error_code && String(data.error_code)) || null;\n\n      return {\n        errorCode,\n      };\n    } catch (error) {\n      log.error(\"Failed to get document error info:\", error);\n      throw error;\n    }\n  }\n}\n\n// Export a singleton instance\nconst knowledgeBaseService = new KnowledgeBaseService();\nexport default knowledgeBaseService;\n"
  },
  {
    "path": "frontend/services/marketService.ts",
    "content": "/**\n * Market service for agent marketplace API calls\n */\n\nimport { API_ENDPOINTS } from './api';\nimport log from '@/lib/logger';\nimport {\n  MarketAgentListResponse,\n  MarketAgentDetail,\n  MarketCategory,\n  MarketTag,\n  MarketMcpServer,\n  MarketAgentListParams,\n} from '@/types/market';\n\n// Market API timeout in milliseconds (5 seconds)\nconst MARKET_API_TIMEOUT = 5000;\n\n/**\n * Custom error class for market API errors\n */\nexport class MarketApiError extends Error {\n  constructor(\n    message: string,\n    public type: 'timeout' | 'network' | 'server' | 'unknown' = 'unknown',\n    public statusCode?: number\n  ) {\n    super(message);\n    this.name = 'MarketApiError';\n  }\n}\n\n/**\n * Fetch with timeout support\n * @param url - Request URL\n * @param options - Fetch options\n * @param timeout - Timeout in milliseconds\n * @returns Promise<Response>\n * @throws MarketApiError on timeout or network error\n */\nasync function fetchWithTimeout(\n  url: string,\n  options: RequestInit = {},\n  timeout: number = MARKET_API_TIMEOUT\n): Promise<Response> {\n  const controller = new AbortController();\n  const timeoutId = setTimeout(() => controller.abort(), timeout);\n\n  try {\n    const response = await fetch(url, {\n      ...options,\n      signal: controller.signal,\n    });\n    clearTimeout(timeoutId);\n    return response;\n  } catch (error: any) {\n    clearTimeout(timeoutId);\n    \n    if (error.name === 'AbortError') {\n      throw new MarketApiError(\n        'Request timeout - market server is not responding',\n        'timeout'\n      );\n    }\n    \n    if (error instanceof TypeError && error.message === 'Failed to fetch') {\n      throw new MarketApiError(\n        'Network error - unable to connect to market server',\n        'network'\n      );\n    }\n    \n    throw new MarketApiError(\n      error.message || 'Unknown error occurred',\n      'unknown'\n    );\n  }\n}\n\n/**\n * Fetch agent list from market with pagination and filters\n */\nexport async function fetchMarketAgentList(\n  params?: MarketAgentListParams\n): Promise<MarketAgentListResponse> {\n  try {\n    const url = API_ENDPOINTS.market.agents(params);\n    const response = await fetchWithTimeout(url, {\n      method: 'GET',\n      headers: {\n        'Content-Type': 'application/json',\n      },\n    });\n\n    if (!response.ok) {\n      throw new MarketApiError(\n        `Failed to fetch market agents: ${response.statusText}`,\n        'server',\n        response.status\n      );\n    }\n\n    const data = await response.json();\n    return data;\n  } catch (error) {\n    log.error('Error fetching market agent list:', error);\n    throw error;\n  }\n}\n\n/**\n * Fetch agent detail by agent_id\n */\nexport async function fetchMarketAgentDetail(\n  agentId: number\n): Promise<MarketAgentDetail> {\n  try {\n    const url = API_ENDPOINTS.market.agentDetail(agentId);\n    const response = await fetchWithTimeout(url, {\n      method: 'GET',\n      headers: {\n        'Content-Type': 'application/json',\n      },\n    });\n\n    if (!response.ok) {\n      throw new MarketApiError(\n        `Failed to fetch market agent detail: ${response.statusText}`,\n        'server',\n        response.status\n      );\n    }\n\n    const data = await response.json();\n    return data;\n  } catch (error) {\n    log.error('Error fetching market agent detail:', error);\n    throw error;\n  }\n}\n\n/**\n * Fetch all categories from market\n */\nexport async function fetchMarketCategories(): Promise<MarketCategory[]> {\n  try {\n    const url = API_ENDPOINTS.market.categories;\n    const response = await fetchWithTimeout(url, {\n      method: 'GET',\n      headers: {\n        'Content-Type': 'application/json',\n      },\n    });\n\n    if (!response.ok) {\n      throw new MarketApiError(\n        `Failed to fetch market categories: ${response.statusText}`,\n        'server',\n        response.status\n      );\n    }\n\n    const data = await response.json();\n    return data;\n  } catch (error) {\n    log.error('Error fetching market categories:', error);\n    throw error;\n  }\n}\n\n/**\n * Fetch all tags from market\n */\nexport async function fetchMarketTags(): Promise<MarketTag[]> {\n  try {\n    const url = API_ENDPOINTS.market.tags;\n    const response = await fetchWithTimeout(url, {\n      method: 'GET',\n      headers: {\n        'Content-Type': 'application/json',\n      },\n    });\n\n    if (!response.ok) {\n      throw new MarketApiError(\n        `Failed to fetch market tags: ${response.statusText}`,\n        'server',\n        response.status\n      );\n    }\n\n    const data = await response.json();\n    return data;\n  } catch (error) {\n    log.error('Error fetching market tags:', error);\n    throw error;\n  }\n}\n\n/**\n * Fetch MCP servers for specific agent\n */\nexport async function fetchMarketAgentMcpServers(\n  agentId: number\n): Promise<MarketMcpServer[]> {\n  try {\n    const url = API_ENDPOINTS.market.mcpServers(agentId);\n    const response = await fetchWithTimeout(url, {\n      method: 'GET',\n      headers: {\n        'Content-Type': 'application/json',\n      },\n    });\n\n    if (!response.ok) {\n      throw new MarketApiError(\n        `Failed to fetch agent MCP servers: ${response.statusText}`,\n        'server',\n        response.status\n      );\n    }\n\n    const data = await response.json();\n    return data;\n  } catch (error) {\n    log.error('Error fetching agent MCP servers:', error);\n    throw error;\n  }\n}\n\nconst marketService = {\n  fetchMarketAgentList,\n  fetchMarketAgentDetail,\n  fetchMarketCategories,\n  fetchMarketTags,\n  fetchMarketAgentMcpServers,\n};\n\nexport default marketService;\n\n"
  },
  {
    "path": "frontend/services/mcpService.ts",
    "content": "import i18n from 'i18next';\n\nimport { API_ENDPOINTS } from './api';\nimport log from \"@/lib/logger\";\n\n// Translation function\nconst t = (key: string, options?: any): string => {\n  return i18n.t(key, options) as string;\n};\n\nconst getAuthHeaders = () => {\n  return {\n    'Content-Type': 'application/json',\n    'User-Agent': 'AgentFrontEnd/1.0',\n  };\n};\n\n/**\n * Get MCP server list\n */\nexport const getMcpServerList = async (tenantId?: string | null) => {\n  try {\n    const url = tenantId\n      ? `${API_ENDPOINTS.mcp.list}?tenant_id=${encodeURIComponent(tenantId)}`\n      : API_ENDPOINTS.mcp.list;\n    const response = await fetch(url, {\n      headers: getAuthHeaders(),\n    });\n\n    const data = await response.json();\n\n    if (response.ok && data.status === 'success') {\n\n      // Convert backend field names to frontend expected format\n      const formattedData = (data.remote_mcp_server_list || []).map((server: any) => {\n        return {\n          service_name: server.remote_mcp_server_name,\n          mcp_url: server.remote_mcp_server,\n          status: server.status || false,\n          permission: server.permission,\n          mcp_id: server.mcp_id,\n        };\n      });\n\n      return {\n        success: true,\n        data: formattedData,\n        enable_upload_image: data.enable_upload_image || false,\n        message: ''\n      };\n    } else {\n      // Handle specific error information based on HTTP status code\n      let errorMessage = data.message || t('mcpService.message.getServerListFailed');\n\n      switch (response.status) {\n        case 500:\n          errorMessage = t('mcpService.message.getRemoteProxyFailed');\n          break;\n        case 503:\n          errorMessage = t('mcpService.message.serviceUnavailable');\n          break;\n        default:\n          errorMessage = data.message || t('mcpService.message.getServerListFailed');\n      }\n\n      return {\n        success: false,\n        data: [],\n        message: errorMessage\n      };\n    }\n  } catch (error) {\n    log.error(t('mcpService.debug.getServerListFailed'), error);\n    return {\n      success: false,\n      data: [],\n      message: t('mcpService.message.networkError')\n    };\n  }\n};\n\n/**\n * Add MCP server\n */\nexport const addMcpServer = async (mcpUrl: string, serviceName: string, authorizationToken?: string | null, tenantId?: string | null) => {\n  try {\n    const params = new URLSearchParams({\n      mcp_url: mcpUrl,\n      service_name: serviceName,\n    });\n    if (authorizationToken) {\n      params.append('authorization_token', authorizationToken);\n    }\n    if (tenantId) {\n      params.append('tenant_id', tenantId);\n    }\n    const response = await fetch(\n      `${API_ENDPOINTS.mcp.add}?${params.toString()}`,\n      {\n        method: 'POST',\n        headers: getAuthHeaders(),\n      }\n    );\n\n    const data = await response.json();\n\n    if (response.ok && data.status === 'success') {\n      return {\n        success: true,\n        data: data,\n        message: data.message || t('mcpService.message.addServerSuccess')\n      };\n    } else {\n      // Handle specific error status codes and error information\n      let errorMessage = data.message || t('mcpService.message.addServerFailed');\n\n      if (response.status === 409) {\n        errorMessage = t('mcpService.message.nameAlreadyUsed');\n      } else if (response.status === 503) {\n        errorMessage = t('mcpService.message.cannotConnectToServer');\n      } else {\n          errorMessage = t('mcpService.message.addProxyFailed');\n      }\n\n      return {\n        success: false,\n        data: null,\n        message: errorMessage\n      };\n    }\n  } catch (error) {\n    log.error(t('mcpService.debug.addServerFailed'), error);\n    return {\n      success: false,\n      data: null,\n      message: t('mcpService.message.networkError')\n    };\n  }\n};\n\n/**\n * Update MCP server\n */\nexport const updateMcpServer = async (\n  currentServiceName: string,\n  currentMcpUrl: string,\n  newServiceName: string,\n  newMcpUrl: string,\n  newAuthorizationToken?: string | null,\n  tenantId?: string | null\n) => {\n  try {\n    const url = tenantId\n      ? `${API_ENDPOINTS.mcp.update}?tenant_id=${encodeURIComponent(tenantId)}`\n      : API_ENDPOINTS.mcp.update;\n    const body: any = {\n      current_service_name: currentServiceName,\n      current_mcp_url: currentMcpUrl,\n      new_service_name: newServiceName,\n      new_mcp_url: newMcpUrl,\n    };\n    if (newAuthorizationToken !== undefined) {\n      body.new_authorization_token = newAuthorizationToken;\n    }\n    const response = await fetch(url, {\n      method: \"PUT\",\n      headers: getAuthHeaders(),\n      body: JSON.stringify(body),\n    });\n\n    const data = await response.json();\n\n    if (response.ok && data.status === \"success\") {\n      return {\n        success: true,\n        data: data,\n        message: data.message || t(\"mcpService.message.updateServerSuccess\"),\n      };\n    } else {\n      // Handle specific error status codes and error information\n      let errorMessage =\n        data.message || t(\"mcpService.message.updateServerFailed\");\n\n      if (response.status === 409) {\n        errorMessage = t(\"mcpService.message.nameAlreadyUsed\");\n      } else if (response.status === 503) {\n        errorMessage = t(\"mcpService.message.cannotConnectToServer\");\n      } else {\n        errorMessage = t(\"mcpService.message.updateProxyFailed\");\n      }\n\n      return {\n        success: false,\n        data: null,\n        message: errorMessage,\n      };\n    }\n  } catch (error) {\n    log.error(t(\"mcpService.debug.updateServerFailed\"), error);\n    return {\n      success: false,\n      data: null,\n      message: t(\"mcpService.message.networkError\"),\n    };\n  }\n};\n\n/**\n * Delete MCP server\n */\nexport const deleteMcpServer = async (mcpUrl: string, serviceName: string, tenantId?: string | null) => {\n  try {\n    const params = new URLSearchParams({\n      mcp_url: mcpUrl,\n      service_name: serviceName,\n    });\n    if (tenantId) {\n      params.append('tenant_id', tenantId);\n    }\n    const response = await fetch(\n      `${API_ENDPOINTS.mcp.delete}?${params.toString()}`,\n      {\n        method: 'DELETE',\n        headers: getAuthHeaders(),\n      }\n    );\n\n    const data = await response.json();\n\n    if (response.ok && data.status === 'success') {\n      return {\n        success: true,\n        data: data,\n        message: data.message || t('mcpService.message.deleteServerSuccess')\n      };\n    } else {\n      // Handle specific error information based on HTTP status code\n      let errorMessage = data.message || t('mcpService.message.deleteServerFailed');\n\n      switch (response.status) {\n        case 500:\n          errorMessage = t('mcpService.message.deleteProxyFailed');\n          break;\n        default:\n          errorMessage = data.message || t('mcpService.message.deleteServerFailed');\n      }\n\n      return {\n        success: false,\n        data: null,\n        message: errorMessage\n      };\n    }\n  } catch (error) {\n    log.error(t('mcpService.debug.deleteServerFailed'), error);\n    return {\n      success: false,\n      data: null,\n      message: t('mcpService.message.networkError')\n    };\n  }\n};\n\n/**\n * Get tool list from remote MCP server\n */\nexport const getMcpTools = async (serviceName: string, mcpUrl: string) => {\n  try {\n    const response = await fetch(\n      `${API_ENDPOINTS.mcp.tools}?service_name=${encodeURIComponent(serviceName)}&mcp_url=${encodeURIComponent(mcpUrl)}`,\n      {\n        method: 'POST',\n        headers: getAuthHeaders(),\n      }\n    );\n\n    const data = await response.json();\n\n    if (response.ok && data.status === 'success') {\n      return {\n        success: true,\n        data: data.tools || [],\n        message: ''\n      };\n    } else {\n      // Handle specific error information based on HTTP status code\n      let errorMessage = data.message || t('mcpService.message.getToolsFailed');\n\n      switch (response.status) {\n        case 500:\n          errorMessage = t('mcpService.message.getToolsFromServerFailed');\n          break;\n        case 503:\n          errorMessage = t('mcpService.message.cannotConnectToServer');\n          break;\n        default:\n          errorMessage = data.message || t('mcpService.message.getToolsFailed');\n      }\n\n      return {\n        success: false,\n        data: [],\n        message: errorMessage\n      };\n    }\n  } catch (error) {\n    log.error(t('mcpService.debug.getToolsFailed'), error);\n    return {\n      success: false,\n      data: [],\n      message: t('mcpService.message.networkError')\n    };\n  }\n};\n\n/**\n * 更新工具列表及状态\n */\nexport const updateToolList = async () => {\n  try {\n    const response = await fetch(API_ENDPOINTS.tool.updateTool, {\n      headers: getAuthHeaders(),\n    });\n\n    const data = await response.json();\n\n    if (response.ok && data.status === 'success') {\n      return {\n        success: true,\n        data: data,\n        message: data.message || t('mcpService.message.updateToolListSuccess')\n      };\n    } else {\n      // Handle specific error information based on HTTP status code\n      let errorMessage = data.message || t('mcpService.message.updateToolListFailed');\n\n      switch (response.status) {\n        case 500:\n          errorMessage = t('mcpService.message.updateToolListBadRequest');\n          break;\n        case 503:\n          errorMessage = t('mcpService.message.serviceUnavailable');\n          break;\n        default:\n          errorMessage = data.message || t('mcpService.message.updateToolListFailed');\n      }\n\n      return {\n        success: false,\n        data: null,\n        message: errorMessage\n      };\n    }\n  } catch (error) {\n    log.error(t('mcpService.debug.updateToolListFailed'), error);\n    return {\n      success: false,\n      data: null,\n      message: t('mcpService.message.networkError')\n    };\n  }\n};\n\n/**\n * checkMcpServerHealth\n */\nexport const checkMcpServerHealth = async (mcpUrl: string, serviceName: string, tenantId?: string | null) => {\n  try {\n    const params = new URLSearchParams({\n      mcp_url: mcpUrl,\n      service_name: serviceName,\n    });\n    if (tenantId) {\n      params.append('tenant_id', tenantId);\n    }\n    const response = await fetch(\n      `${API_ENDPOINTS.mcp.healthcheck}?${params.toString()}`,\n      {\n        headers: getAuthHeaders(),\n      }\n    );\n\n    const data = await response.json();\n\n    if (response.ok && data.status === 'success') {\n      return {\n        success: true,\n        data: data,\n        message: data.message || t('mcpService.message.healthCheckSuccess')\n      };\n    } else {\n      let errorMessage = data.message || t('mcpService.message.healthCheckFailed');\n      if (response.status === 503) {\n        errorMessage = t('mcpService.message.cannotConnectToServer');\n      }\n      return {\n        success: false,\n        data: null,\n        message: errorMessage\n      };\n    }\n  } catch (error) {\n    log.error(t('mcpService.debug.healthCheckFailed'), error);\n    return {\n      success: false,\n      data: null,\n      message: t('mcpService.message.networkError')\n    };\n  }\n};\n\n/**\n * Add MCP server from container configuration\n */\nexport const addMcpFromConfig = async (mcpConfig: { mcpServers: Record<string, { command: string; args?: string[]; env?: Record<string, string>; port?: number; image?: string }> }, tenantId?: string | null) => {\n  try {\n    const url = tenantId\n      ? `${API_ENDPOINTS.mcp.addFromConfig}?tenant_id=${encodeURIComponent(tenantId)}`\n      : API_ENDPOINTS.mcp.addFromConfig;\n    const response = await fetch(url, {\n      method: 'POST',\n      headers: getAuthHeaders(),\n      body: JSON.stringify(mcpConfig),\n    });\n\n    const data = await response.json();\n\n    if (response.ok && data.status === 'success') {\n      return {\n        success: true,\n        data: data,\n        message: data.message || t('mcpService.message.addFromConfigSuccess')\n      };\n    } else {\n      let errorMessage = data.detail || data.message || t('mcpService.message.addFromConfigFailed');\n      let messageKey: string | undefined;\n\n      if (response.status === 400) {\n        const rawError = data.detail || data.message || '';\n        // Check if error is related to image not found\n        const errorLower = rawError.toLowerCase();\n        if (rawError && (errorLower.includes('image not found') || \n            errorLower.includes('mcp service startup image is missing') ||\n            (errorLower.includes('not found') && errorLower.includes('image')))) {\n          messageKey = 'mcpService.message.missingMcpImage';\n          errorMessage = t('mcpService.message.missingMcpImage');\n        } else {\n          errorMessage = rawError || t('mcpService.message.invalidConfig');\n        }\n      } else if (response.status === 503) {\n        messageKey = 'mcpService.message.dockerServiceUnavailable';\n        errorMessage = t('mcpService.message.dockerServiceUnavailable');\n      }\n\n      return {\n        success: false,\n        data: null,\n        message: errorMessage,\n        messageKey: messageKey\n      };\n    }\n  } catch (error) {\n    log.error(t('mcpService.debug.addFromConfigFailed'), error);\n    return {\n      success: false,\n      data: null,\n      message: t('mcpService.message.networkError'),\n      messageKey: 'mcpService.message.networkError'\n    };\n  }\n};\n\n/**\n * Get MCP container list\n */\nexport const getMcpContainers = async (tenantId?: string | null) => {\n  try {\n    const url = tenantId\n      ? `${API_ENDPOINTS.mcp.containers}?tenant_id=${encodeURIComponent(tenantId)}`\n      : API_ENDPOINTS.mcp.containers;\n    const response = await fetch(url, {\n      headers: getAuthHeaders(),\n    });\n\n    const data = await response.json();\n\n    if (response.ok && data.status === 'success') {\n      return {\n        success: true,\n        data: data.containers || [],\n        message: ''\n      };\n    } else {\n      let errorMessage = data.detail || data.message || t('mcpService.message.getContainersFailed');\n\n      if (response.status === 503) {\n        errorMessage = t('mcpService.message.dockerServiceUnavailable');\n      }\n\n      return {\n        success: false,\n        data: [],\n        message: errorMessage\n      };\n    }\n  } catch (error) {\n    log.error(t('mcpService.debug.getContainersFailed'), error);\n    return {\n      success: false,\n      data: [],\n      message: t('mcpService.message.networkError')\n    };\n  }\n};\n\n/**\n * Get MCP container logs (legacy non-streaming method)\n */\nexport const getMcpContainerLogs = async (containerId: string, tail: number = 100, tenantId?: string | null) => {\n  try {\n    const params = new URLSearchParams({\n      tail: tail.toString(),\n    });\n    if (tenantId) {\n      params.append('tenant_id', tenantId);\n    }\n    const response = await fetch(\n      `${API_ENDPOINTS.mcp.containerLogs(containerId)}?${params.toString()}`,\n      {\n        headers: getAuthHeaders(),\n      }\n    );\n\n    const data = await response.json();\n\n    if (response.ok && data.status === 'success') {\n      return {\n        success: true,\n        data: data.logs || '',\n        message: ''\n      };\n    } else {\n      let errorMessage = data.detail || data.message || t('mcpService.message.getContainerLogsFailed');\n\n      if (response.status === 404) {\n        errorMessage = t('mcpService.message.containerNotFound');\n      } else if (response.status === 503) {\n        errorMessage = t('mcpService.message.dockerServiceUnavailable');\n      }\n\n      return {\n        success: false,\n        data: '',\n        message: errorMessage\n      };\n    }\n  } catch (error) {\n    log.error(t('mcpService.debug.getContainerLogsFailed'), error);\n    return {\n      success: false,\n      data: '',\n      message: t('mcpService.message.networkError')\n    };\n  }\n};\n\n/**\n * Stream MCP container logs via SSE\n * Returns an AbortController that can be used to cancel the stream\n */\nexport const streamMcpContainerLogs = async (\n  containerId: string,\n  tail: number = 100,\n  follow: boolean = true,\n  tenantId?: string | null,\n  onData?: (logLine: string) => void,\n  onError?: (error: any) => void,\n  onComplete?: () => void,\n  abortSignal?: AbortSignal\n): Promise<AbortController> => {\n  const abortController = new AbortController();\n  const signal = abortSignal || abortController.signal;\n\n  (async () => {\n    try {\n      const params = new URLSearchParams({\n        tail: tail.toString(),\n        follow: follow.toString(),\n      });\n      if (tenantId) {\n        params.append('tenant_id', tenantId);\n      }\n      \n      const response = await fetch(\n        `${API_ENDPOINTS.mcp.containerLogs(containerId)}?${params.toString()}`,\n        {\n          headers: getAuthHeaders(),\n          signal: signal,\n        }\n      );\n\n      if (!response.body) {\n        throw new Error('No response body');\n      }\n\n      const reader = response.body.getReader();\n      const decoder = new TextDecoder('utf-8');\n      let buffer = '';\n\n      try {\n        while (true) {\n          // Check if aborted before reading\n          if (signal.aborted) {\n            break;\n          }\n\n          const { value, done } = await reader.read();\n          if (done) break;\n          \n          buffer += decoder.decode(value, { stream: true });\n          \n          // Process complete SSE messages (separated by \\n\\n)\n          let lines = buffer.split('\\n\\n');\n          buffer = lines.pop() || ''; // Keep incomplete message in buffer\n          \n          for (const line of lines) {\n            if (line.startsWith('data: ')) {\n              try {\n                const json = JSON.parse(line.replace('data: ', ''));\n                if (json.logs && onData) {\n                  onData(json.logs);\n                }\n                if (json.status === 'error' && onError) {\n                  onError(new Error(json.logs || 'Unknown error'));\n                }\n              } catch (e) {\n                if (onError) onError(e);\n              }\n            }\n          }\n        }\n      } finally {\n        // Cancel the reader to close the stream\n        try {\n          await reader.cancel();\n        } catch (e) {\n          // Ignore cancel errors\n        }\n      }\n      \n      if (onComplete && !signal.aborted) {\n        onComplete();\n      }\n    } catch (error: any) {\n      // Ignore abort errors\n      if (error.name === 'AbortError') {\n        return;\n      }\n      log.error(t('mcpService.debug.streamContainerLogsFailed'), error);\n      if (onError && !signal.aborted) {\n        onError(error);\n      }\n      if (onComplete && !signal.aborted) {\n        onComplete();\n      }\n    }\n  })();\n\n  return abortController;\n};\n\n/**\n * Upload MCP image and start container\n */\nexport const uploadMcpImage = async (file: File, port: number, serviceName?: string, envVars?: string, tenantId?: string | null) => {\n  try {\n    const formData = new FormData();\n    formData.append('file', file);\n    formData.append('port', port.toString());\n    if (serviceName) {\n      formData.append('service_name', serviceName);\n    }\n    if (envVars) {\n      formData.append('env_vars', envVars);\n    }\n    if (tenantId) {\n      formData.append('tenant_id', tenantId);\n    }\n\n    const { 'Content-Type': _, ...headers } = getAuthHeaders();\n\n    const response = await fetch(API_ENDPOINTS.mcp.uploadImage, {\n      method: 'POST',\n      headers: headers,\n      body: formData,\n    });\n\n    const data = await response.json();\n\n    if (response.ok && data.status === 'success') {\n      return {\n        success: true,\n        data: data,\n        message: data.message || t('mcpService.message.uploadImageSuccess')\n      };\n    } else {\n      let errorMessage = data.detail || data.message || t('mcpService.message.uploadImageFailed');\n\n      if (response.status === 400) {\n        errorMessage = data.detail || t('mcpService.message.invalidUploadParameters');\n      } else if (response.status === 409) {\n        errorMessage = t('mcpService.message.serviceNameAlreadyExists');\n      } else if (response.status === 413) {\n        errorMessage = t('mcpService.message.fileTooLarge');\n      } else if (response.status === 503) {\n        errorMessage = t('mcpService.message.dockerServiceUnavailable');\n      }\n\n      return {\n        success: false,\n        data: null,\n        message: errorMessage\n      };\n    }\n  } catch (error) {\n    log.error(t('mcpService.debug.uploadImageFailed'), error);\n    return {\n      success: false,\n      data: null,\n      message: t('mcpService.message.networkError')\n    };\n  }\n};\n\n/**\n * Delete MCP container\n */\nexport const deleteMcpContainer = async (containerId: string, tenantId?: string | null) => {\n  try {\n    const url = tenantId\n      ? `${API_ENDPOINTS.mcp.deleteContainer(containerId)}?tenant_id=${encodeURIComponent(tenantId)}`\n      : API_ENDPOINTS.mcp.deleteContainer(containerId);\n    const response = await fetch(url, {\n      method: 'DELETE',\n      headers: getAuthHeaders(),\n    });\n\n    const data = await response.json();\n\n    if (response.ok && data.status === 'success') {\n      return {\n        success: true,\n        data: data,\n        message: data.message || t('mcpService.message.deleteContainerSuccess')\n      };\n    } else {\n      let errorMessage = data.detail || data.message || t('mcpService.message.deleteContainerFailed');\n\n      if (response.status === 404) {\n        errorMessage = t('mcpService.message.containerNotFound');\n      } else if (response.status === 503) {\n        errorMessage = t('mcpService.message.dockerServiceUnavailable');\n      }\n\n      return {\n        success: false,\n        data: null,\n        message: errorMessage\n      };\n    }\n  } catch (error) {\n    log.error(t('mcpService.debug.deleteContainerFailed'), error);\n    return {\n      success: false,\n      data: null,\n      message: t('mcpService.message.networkError')\n    };\n  }\n};\n\n/**\n * Get single MCP record by ID\n */\nexport const getMcpRecord = async (mcpId: number, tenantId?: string | null) => {\n  try {\n    const url = tenantId\n      ? `${API_ENDPOINTS.mcp.record(mcpId)}?tenant_id=${encodeURIComponent(tenantId)}`\n      : API_ENDPOINTS.mcp.record(mcpId);\n    const response = await fetch(url, {\n      headers: getAuthHeaders(),\n    });\n\n    const data = await response.json();\n\n    if (response.ok && data.status === 'success') {\n      return {\n        success: true,\n        data: {\n          mcp_name: data.mcp_name,\n          mcp_server: data.mcp_server,\n          authorization_token: data.authorization_token,\n        },\n        message: ''\n      };\n    } else {\n      let errorMessage = data.detail || data.message || t('mcpService.message.getMcpRecordFailed');\n\n      if (response.status === 404) {\n        errorMessage = t('mcpService.message.mcpRecordNotFound');\n      } else if (response.status === 500) {\n        errorMessage = t('mcpService.message.getMcpRecordFailed');\n      }\n\n      return {\n        success: false,\n        data: null,\n        message: errorMessage\n      };\n    }\n  } catch (error) {\n    log.error(t('mcpService.debug.getMcpRecordFailed'), error);\n    return {\n      success: false,\n      data: null,\n      message: t('mcpService.message.networkError')\n    };\n  }\n};"
  },
  {
    "path": "frontend/services/memoryService.ts",
    "content": "import i18next from 'i18next';\n\nimport { API_ENDPOINTS, fetchWithErrorHandling } from \"./api\";\nimport { fetchAllAgents } from \"./agentConfigService\";\n\nimport { MemoryItem, MemoryGroup } from \"@/types/memory\";\nimport { getAuthHeaders } from '@/lib/auth';\nimport log from \"@/lib/logger\";\n\n// ---------------------------------------------------------------------------\n// Error message translation helper\n// ---------------------------------------------------------------------------\nfunction getFriendlyErrorMessage(raw: string): string {\n  let msg = raw;\n  try {\n    const obj = JSON.parse(raw);\n    // Backend now raises HTTPException with { detail }\n    if (obj && typeof obj.detail === \"string\") {\n      msg = obj.detail;\n    } else if (obj && typeof obj.message === \"string\") {\n      msg = obj.message;\n    }\n  } catch (_) {\n    // ignore JSON parse errors\n  }\n\n  // Keyword mapping to user-friendly Chinese prompts\n  if (/AuthenticationException/i.test(msg)) {\n    return \"Elasticsearch authentication failed\";\n  } else if (/ConnectionTimeout/i.test(msg)) {\n    return \"Connection to language model timed out\";\n  } else if (/unhashable type: 'slice'/i.test(msg)) {\n    return \"Backend data slicing error. Please contact administrator\";\n  }\n\n  return msg;\n}\n\n/**\n * NOTE: The first half of this file still contains mock helpers which are useful\n * for Storybook/isolated UI tests.  The bottom section implements real API\n * integrations that will be used at runtime.\n * ---------------------------------------------------------------------------\n */\n\n// ---------------------------------------------------------------------------\n// Helper for unified JSON request/response handling\n// ---------------------------------------------------------------------------\nasync function requestJson(\n  url: string,\n  options: RequestInit = {}\n): Promise<any> {\n  const resp = await fetchWithErrorHandling(url, options);\n  return resp.json();\n}\n\n// ---------------------------------------------------------------------------\n// Configuration helpers\n// ---------------------------------------------------------------------------\nexport interface MemoryConfig {\n  memoryEnabled: boolean;\n  shareOption: \"always\" | \"ask\" | \"never\";\n  disableAgentIds: string[];\n  disableUserAgentIds: string[];\n}\n\nexport async function loadMemoryConfig(): Promise<MemoryConfig> {\n  try {\n    const res = await requestJson(API_ENDPOINTS.memory.config.load, {\n      method: \"GET\",\n      headers: getAuthHeaders(),\n    });\n\n    // Backend returns plain config object directly\n    const cfg = res || {};\n\n    const memorySwitchVal: string =\n      cfg.MEMORY_SWITCH ?? cfg.memory_switch ?? \"Y\";\n    const shareVal: string =\n      cfg.MEMORY_AGENT_SHARE ?? cfg.memory_agent_share ?? \"always\";\n    const disableAgentIds: string[] =\n      cfg.DISABLE_AGENT_ID ?? cfg.disable_agent_id ?? [];\n    const disableUserAgentIds: string[] =\n      cfg.DISABLE_USERAGENT_ID ?? cfg.disable_useragent_id ?? [];\n\n    return {\n      memoryEnabled: memorySwitchVal === \"Y\",\n      shareOption: (shareVal || \"always\") as \"always\" | \"ask\" | \"never\",\n      disableAgentIds,\n      disableUserAgentIds,\n    };\n  } catch (e) {\n    log.error(\"loadMemoryConfig error\", e);\n    // fall back to defaults\n    return {\n      memoryEnabled: true,\n      shareOption: \"always\",\n      disableAgentIds: [],\n      disableUserAgentIds: [],\n    };\n  }\n}\n\nexport async function setMemorySwitch(enabled: boolean): Promise<boolean> {\n  try {\n    const body = { key: \"MEMORY_SWITCH\", value: enabled };\n    const res = await requestJson(API_ENDPOINTS.memory.config.set, {\n      method: \"POST\",\n      headers: getAuthHeaders(),\n      body: JSON.stringify(body),\n    });\n    // Backend returns { success: true } on OK\n    return !!res?.success;\n  } catch (e) {\n    log.error(\"setMemorySwitch error\", e);\n    return false;\n  }\n}\n\nexport async function setMemoryAgentShare(\n  option: \"always\" | \"ask\" | \"never\"\n): Promise<boolean> {\n  try {\n    const body = { key: \"MEMORY_AGENT_SHARE\", value: option };\n    const res = await requestJson(API_ENDPOINTS.memory.config.set, {\n      method: \"POST\",\n      headers: getAuthHeaders(),\n      body: JSON.stringify(body),\n    });\n    return !!res?.success;\n  } catch (e) {\n    log.error(\"setMemoryAgentShare error\", e);\n    return false;\n  }\n}\n\n// ---------------- Disable list helpers ----------------\nexport async function addDisabledAgentId(agentId: string): Promise<boolean> {\n  try {\n    const res = await requestJson(API_ENDPOINTS.memory.config.disableAgentAdd, {\n      method: \"POST\",\n      headers: getAuthHeaders(),\n      body: JSON.stringify({ agent_id: agentId }),\n    });\n    return !!res?.success;\n  } catch (e) {\n    log.error(\"addDisabledAgentId error\", e);\n    return false;\n  }\n}\n\nexport async function removeDisabledAgentId(agentId: string): Promise<boolean> {\n  try {\n    const res = await requestJson(\n      API_ENDPOINTS.memory.config.disableAgentRemove(agentId),\n      {\n        method: \"DELETE\",\n        headers: getAuthHeaders(),\n      }\n    );\n    return !!res?.success;\n  } catch (e) {\n    log.error(\"removeDisabledAgentId error\", e);\n    return false;\n  }\n}\n\nexport async function addDisabledUserAgentId(\n  agentId: string\n): Promise<boolean> {\n  try {\n    const res = await requestJson(\n      API_ENDPOINTS.memory.config.disableUserAgentAdd,\n      {\n        method: \"POST\",\n        headers: getAuthHeaders(),\n        body: JSON.stringify({ agent_id: agentId }),\n      }\n    );\n    return !!res?.success;\n  } catch (e) {\n    log.error(\"addDisabledUserAgentId error\", e);\n    return false;\n  }\n}\n\nexport async function removeDisabledUserAgentId(\n  agentId: string\n): Promise<boolean> {\n  try {\n    const res = await requestJson(\n      API_ENDPOINTS.memory.config.disableUserAgentRemove(agentId),\n      {\n        method: \"DELETE\",\n        headers: getAuthHeaders(),\n      }\n    );\n    return !!res?.success;\n  } catch (e) {\n    log.error(\"removeDisabledUserAgentId error\", e);\n    return false;\n  }\n}\n\n// ---------------------------------------------------------------------------\n// Memory list helpers\n// ---------------------------------------------------------------------------\nasync function listMemories(\n  memoryLevel: string,\n  agentId?: string\n): Promise<{ items: MemoryItem[]; total: number }> {\n  const params = new URLSearchParams({ memory_level: memoryLevel });\n  if (agentId) params.append(\"agent_id\", agentId);\n\n  const url = `${API_ENDPOINTS.memory.entry.list}?${params.toString()}`;\n  try {\n    const res = await requestJson(url, {\n      method: \"GET\",\n      headers: getAuthHeaders(),\n    });\n    // Backend returns payload directly (list or object with items/total)\n    const content = res ?? {};\n    const items: MemoryItem[] = content.items ?? res ?? [];\n    const total: number = content.total ?? items.length;\n    return { items, total };\n  } catch (e) {\n    log.error(\"listMemories error\", e);\n    if (e instanceof Error) {\n      throw new Error(getFriendlyErrorMessage(e.message || \"\"));\n    }\n    throw new Error(i18next.t(\"memoryService.loadMemoryError\"));\n  }\n}\n\nexport async function fetchTenantSharedGroup(): Promise<MemoryGroup> {\n  const { items } = await listMemories(\"tenant\");\n  return {\n    title: i18next.t(\"memoryService.tenantSharedGroupTitle\"),\n    key: \"tenant\",\n    items,\n  };\n}\n\nexport async function fetchAgentSharedGroups(): Promise<MemoryGroup[]> {\n  // Parallel requests: memory list + full Agent list\n  const [{ items }, agentsRes] = await Promise.all([\n    listMemories(\"agent\"),\n    fetchAllAgents(),\n  ]);\n\n  // First group results with memories by agent_id\n  const groupMap: Record<string, MemoryItem[]> = {};\n  items.forEach((item) => {\n    if (!item.agent_id) return;\n    if (!groupMap[item.agent_id]) groupMap[item.agent_id] = [];\n    groupMap[item.agent_id].push(item);\n  });\n\n  // Complete groups with agents that have no memories\n  const agentList: Array<{\n    agent_id: string;\n    name?: string;\n    display_name?: string;\n  }> = (agentsRes as any)?.success ? (agentsRes as any).data : [];\n\n  const groups: MemoryGroup[] = [];\n\n  // Build groups in Agent list order to ensure completeness\n  agentList.forEach((agent) => {\n    const agentId = agent.agent_id;\n    const list = groupMap[agentId] || [];\n    groups.push({\n      title: i18next.t(\"memoryService.agentSharedGroupTitle\", {\n        agentName: agent.display_name || agent.name || agentId,\n      }),\n      key: `agent-${agentId}`,\n      items: list,\n    });\n  });\n\n  // If still no agent info, return placeholder group\n  if (groups.length === 0) {\n    return [\n      {\n        title: i18next.t(\"memoryService.agentSharedPlaceholder\"),\n        key: \"agent-placeholder\",\n        items: [],\n      },\n    ];\n  }\n\n  return groups;\n}\n\nexport async function fetchUserPersonalGroup(): Promise<MemoryGroup> {\n  const { items } = await listMemories(\"user\");\n  return {\n    title: i18next.t(\"memoryService.userPersonalGroupTitle\"),\n    key: \"user-personal\",\n    items,\n  };\n}\n\nexport async function fetchUserAgentGroups(): Promise<MemoryGroup[]> {\n  // Parallel requests: user memory + full Agent list\n  const [{ items }, agentsRes] = await Promise.all([\n    listMemories(\"user_agent\"),\n    fetchAllAgents(),\n  ]);\n\n  const groupMap: Record<string, MemoryItem[]> = {};\n  items.forEach((item) => {\n    if (!item.agent_id) return;\n    if (!groupMap[item.agent_id]) groupMap[item.agent_id] = [];\n    groupMap[item.agent_id].push(item);\n  });\n\n  const agentList: Array<{\n    agent_id: string | number;\n    name?: string;\n    display_name?: string;\n  }> = (agentsRes as any)?.success ? (agentsRes as any).data : [];\n\n  const groups: MemoryGroup[] = [];\n\n  agentList.forEach((agent) => {\n    const agentId = String(agent.agent_id);\n    const list = groupMap[agentId] || [];\n    groups.push({\n      title: i18next.t(\"memoryService.userAgentGroupTitle\", {\n        agentName: agent.display_name || agent.name || agentId,\n      }),\n      key: `user-agent-${agentId}`,\n      items: list,\n    });\n  });\n\n  Object.entries(groupMap).forEach(([agentId, list]) => {\n    if (!agentList.some((a) => String(a.agent_id) === agentId)) {\n      groups.push({\n        title: i18next.t(\"memoryService.userAgentGroupTitle\", {\n          agentName: list[0]?.agent_name || agentId,\n        }),\n        key: `user-agent-${agentId}`,\n        items: list,\n      });\n    }\n  });\n\n  if (groups.length === 0) {\n    return [\n      {\n        title: i18next.t(\"memoryService.userAgentPlaceholder\"),\n        key: \"user-agent-placeholder\",\n        items: [],\n      },\n    ];\n  }\n  return groups;\n}\n\n// ---------------------------------------------------------------------------\n// Memory CRUD operations\n// ---------------------------------------------------------------------------\n\nexport async function addMemory(\n  messages: Array<{ role: string; content: string }>,\n  memoryLevel: string,\n  agentId?: string,\n  infer: boolean = true\n): Promise<boolean> {\n  try {\n    const body = {\n      messages,\n      memory_level: memoryLevel,\n      infer,\n      ...(agentId && { agent_id: agentId }),\n    };\n    const res = await requestJson(API_ENDPOINTS.memory.entry.add, {\n      method: \"POST\",\n      headers: getAuthHeaders(),\n      body: JSON.stringify(body),\n    });\n    // Backend returns inserted info or payload directly on success\n    return !!res;\n  } catch (e) {\n    log.error(\"addMemory error\", e);\n    throw e;\n  }\n}\n\nexport async function clearMemory(\n  memoryLevel: string,\n  agentId?: string\n): Promise<{ deleted_count: number; total_count: number }> {\n  try {\n    const params = new URLSearchParams({ memory_level: memoryLevel });\n    if (agentId) params.append(\"agent_id\", agentId);\n    const url = `${API_ENDPOINTS.memory.entry.clear}?${params.toString()}`;\n\n    const res = await requestJson(url, {\n      method: \"DELETE\",\n      headers: getAuthHeaders(),\n    });\n    const result = res || { deleted_count: 0, total_count: 0 };\n    return result;\n  } catch (e) {\n    log.error(\"clearMemory error\", e);\n    throw e;\n  }\n}\n\nexport async function deleteMemory(\n  memoryId: string,\n  memoryLevel: string,\n  agentId?: string\n): Promise<boolean> {\n  try {\n    const params = new URLSearchParams({ memory_level: memoryLevel });\n    if (agentId) params.append(\"agent_id\", agentId);\n    const url = `${API_ENDPOINTS.memory.entry.delete(\n      memoryId\n    )}?${params.toString()}`;\n\n    const res = await requestJson(url, {\n      method: \"DELETE\",\n      headers: getAuthHeaders(),\n    });\n    return !!res;\n  } catch (e) {\n    log.error(\"deleteMemory error\", e);\n    throw e;\n  }\n}\n"
  },
  {
    "path": "frontend/services/modelService.ts",
    "content": "\"use client\";\n\nimport { API_ENDPOINTS } from \"./api\";\n\nimport {\n  ModelOption,\n  ModelType,\n  ModelConnectStatus,\n  ModelValidationResponse,\n  ModelSource,\n} from \"@/types/modelConfig\";\n\nimport { getAuthHeaders } from \"@/lib/auth\";\nimport { STATUS_CODES } from \"@/const/auth\";\nimport {\n  MODEL_TYPES,\n  MODEL_SOURCES,\n  MODEL_PROVIDER_KEYS,\n  PROVIDER_HINTS,\n  PROVIDER_ICON_MAP,\n  DEFAULT_PROVIDER_ICON,\n  OFFICIAL_PROVIDER_ICON,\n  ModelProviderKey,\n} from \"@/const/modelConfig\";\nimport log from \"@/lib/logger\";\n\n// Error class\nexport class ModelError extends Error {\n  constructor(message: string, public code?: number) {\n    super(message);\n    this.name = \"ModelError\";\n    // Override the stack property to only return the message\n    Object.defineProperty(this, \"stack\", {\n      get: function () {\n        return this.message;\n      },\n    });\n  }\n\n  // Override the toString method to only return the message\n  toString() {\n    return this.message;\n  }\n}\n\n// Model service\nexport const modelService = {\n  // Get all models (unified method)\n  getAllModels: async (): Promise<ModelOption[]> => {\n    try {\n      const response = await fetch(API_ENDPOINTS.model.customModelList, {\n        headers: getAuthHeaders(),\n      });\n      const result = await response.json();\n\n      if (response.status === STATUS_CODES.SUCCESS && result.data) {\n        return result.data.map((model: any) => ({\n          id: model.model_id,\n          name: model.model_name,\n          type: model.model_type as ModelType,\n          maxTokens: model.max_tokens || 0,\n          source: model.model_factory as ModelSource,\n          apiKey: model.api_key,\n          apiUrl: model.base_url,\n          displayName: model.display_name || model.model_name,\n          connect_status:\n            (model.connect_status as ModelConnectStatus) || \"not_detected\",\n          expectedChunkSize: model.expected_chunk_size,\n          maximumChunkSize: model.maximum_chunk_size,\n          chunkingBatchSize: model.chunk_batch,\n        }));\n      }\n      return [];\n    } catch (error) {\n      log.warn(\"Failed to load models:\", error);\n      return [];\n    }\n  },\n\n  // Legacy methods for backward compatibility (will be removed after refactoring)\n  getOfficialModels: async (): Promise<ModelOption[]> => {\n    const allModels = await modelService.getAllModels();\n    return allModels.filter((model) => model.source === \"modelengine\");\n  },\n\n  getCustomModels: async (): Promise<ModelOption[]> => {\n    const allModels = await modelService.getAllModels();\n    return allModels.filter((model) => model.source !== \"modelengine\");\n  },\n\n  // Add custom model\n  addCustomModel: async (model: {\n    name: string;\n    type: ModelType;\n    url: string;\n    apiKey: string;\n    maxTokens: number;\n    displayName?: string;\n    expectedChunkSize?: number;\n    maximumChunkSize?: number;\n    chunkingBatchSize?: number;\n  }): Promise<void> => {\n    try {\n      const response = await fetch(API_ENDPOINTS.model.customModelCreate, {\n        method: \"POST\",\n        headers: getAuthHeaders(),\n        body: JSON.stringify({\n          model_repo: \"\",\n          model_name: model.name,\n          model_type: model.type,\n          base_url: model.url,\n          api_key: model.apiKey,\n          max_tokens: model.maxTokens,\n          display_name: model.displayName,\n          expected_chunk_size: model.expectedChunkSize,\n          maximum_chunk_size: model.maximumChunkSize,\n          chunk_batch: model.chunkingBatchSize,\n        }),\n      });\n\n      const result = await response.json();\n\n      if (response.status !== 200) {\n        throw new ModelError(\n          result.detail || result.message || \"添加自定义模型失败\",\n          response.status\n        );\n      }\n    } catch (error) {\n      if (error instanceof ModelError) throw error;\n      throw new ModelError(\"添加自定义模型失败\", 500);\n    }\n  },\n\n  addProviderModel: async (model: {\n    provider: string;\n    type: ModelType;\n    apiKey: string;\n    baseUrl?: string;\n  }): Promise<any[]> => {\n    try {\n      const response = await fetch(\n        API_ENDPOINTS.model.customModelCreateProvider,\n        {\n          method: \"POST\",\n          headers: getAuthHeaders(),\n          body: JSON.stringify({\n            provider: model.provider,\n            model_type: model.type,\n            api_key: model.apiKey,\n            ...(model.baseUrl ? { base_url: model.baseUrl } : {}),\n          }),\n        }\n      );\n\n      const result = await response.json();\n\n      if (response.status !== 200) {\n        throw new ModelError(\n          result.detail || result.message || \"添加自定义模型失败\",\n          response.status\n        );\n      }\n      return result.data || [];\n    } catch (error) {\n      if (error instanceof ModelError) throw error;\n      throw new ModelError(\"添加自定义模型失败\", 500);\n    }\n  },\n\n  addBatchCustomModel: async (model: {\n    api_key: string;\n    provider: string;\n    type: ModelType;\n    models: any[];\n  }): Promise<number> => {\n    try {\n      const response = await fetch(API_ENDPOINTS.model.customModelBatchCreate, {\n        method: \"POST\",\n        headers: getAuthHeaders(),\n        body: JSON.stringify({\n          api_key: model.api_key,\n          models: model.models,\n          type: model.type,\n          provider: model.provider,\n        }),\n      });\n      const result = await response.json();\n\n      if (response.status !== 200) {\n        throw new ModelError(\n          result.detail || result.message || \"添加自定义模型失败\",\n          response.status\n        );\n      }\n      return response.status;\n    } catch (error) {\n      if (error instanceof ModelError) throw error;\n      throw new ModelError(\"添加自定义模型失败\", 500);\n    }\n  },\n\n  getProviderSelectedModalList: async (model: {\n    provider: string;\n    type: ModelType;\n    api_key: string;\n    baseUrl?: string;\n  }): Promise<any[]> => {\n    try {\n      const response = await fetch(\n        API_ENDPOINTS.model.getProviderSelectedModalList,\n        {\n          method: \"POST\",\n          headers: getAuthHeaders(),\n          body: JSON.stringify({\n            provider: model.provider,\n            model_type: model.type,\n            api_key: model.api_key,\n            ...(model.baseUrl ? { base_url: model.baseUrl } : {}),\n          }),\n        }\n      );\n      log.log(\"getProviderSelectedModalList response\", response);\n      const result = await response.json();\n      log.log(\"getProviderSelectedModalList result\", result);\n      if (response.status !== 200) {\n        throw new ModelError(\n          result.detail || result.message || \"获取模型列表失败\",\n          response.status\n        );\n      }\n      return result.data || [];\n    } catch (error) {\n      log.log(\"getProviderSelectedModalList error\", error);\n      if (error instanceof ModelError) throw error;\n      throw new ModelError(\"获取模型列表失败\", 500);\n    }\n  },\n\n  // List provider models for a specific tenant (admin/manage operation)\n  getManageProviderModelList: async (params: {\n    tenantId: string;\n    provider: string;\n    modelType: string;\n    apiKey?: string;\n    baseUrl?: string;\n  }): Promise<any[]> => {\n    try {\n      const response = await fetch(\n        API_ENDPOINTS.model.manageProviderModelList,\n        {\n          method: \"POST\",\n          headers: {\n            ...getAuthHeaders(),\n            \"Content-Type\": \"application/json\",\n          },\n          body: JSON.stringify({\n            tenant_id: params.tenantId,\n            provider: params.provider,\n            model_type: params.modelType,\n            ...(params.apiKey ? { api_key: params.apiKey } : {}),\n            ...(params.baseUrl ? { base_url: params.baseUrl } : {}),\n          }),\n        }\n      );\n      log.log(\"getManageProviderModelList response\", response);\n      const result = await response.json();\n      log.log(\"getManageProviderModelList result\", result);\n      if (response.status !== 200) {\n        throw new ModelError(\n          result.detail || result.message || \"Failed to get provider model list\",\n          response.status\n        );\n      }\n      return result.data || [];\n    } catch (error) {\n      log.log(\"getManageProviderModelList error\", error);\n      if (error instanceof ModelError) throw error;\n      throw new ModelError(\"Failed to get provider model list\", 500);\n    }\n  },\n\n  updateSingleModel: async (model: {\n    currentDisplayName: string;\n    displayName?: string;\n    url: string;\n    apiKey: string;\n    maxTokens?: number;\n    source?: ModelSource;\n    expectedChunkSize?: number;\n    maximumChunkSize?: number;\n    chunkingBatchSize?: number;\n  }): Promise<void> => {\n    try {\n      const response = await fetch(\n        API_ENDPOINTS.model.updateSingleModel(model.currentDisplayName),\n        {\n          method: \"POST\",\n          headers: getAuthHeaders(),\n          body: JSON.stringify({\n            ...(model.displayName !== undefined\n              ? { display_name: model.displayName }\n              : {}),\n            base_url: model.url,\n            api_key: model.apiKey,\n            ...(model.maxTokens !== undefined\n              ? { max_tokens: model.maxTokens }\n              : {}),\n            model_factory: model.source || \"OpenAI-API-Compatible\",\n            ...(model.expectedChunkSize !== undefined\n              ? { expected_chunk_size: model.expectedChunkSize }\n              : {}),\n            ...(model.maximumChunkSize !== undefined\n              ? { maximum_chunk_size: model.maximumChunkSize }\n              : {}),\n            ...(model.chunkingBatchSize !== undefined\n              ? { chunk_batch: model.chunkingBatchSize }\n              : {}),\n          }),\n        }\n      );\n      const result = await response.json();\n      if (response.status !== 200) {\n        throw new ModelError(\n          result.detail || result.message || \"Failed to update the custom model\",\n          response.status\n        );\n      }\n    } catch (error) {\n      if (error instanceof ModelError) throw error;\n      throw new ModelError(\"Failed to update the custom model\", 500);\n    }\n  },\n\n  updateBatchModel: async (\n    models: {\n      model_id: string;\n      apiKey: string;\n      maxTokens?: number;\n    }[],\n    provider?: string\n  ): Promise<any> => {\n    try {\n      const response = await fetch(API_ENDPOINTS.model.updateBatchModel, {\n        method: \"POST\",\n        headers: getAuthHeaders(),\n        body: JSON.stringify(\n          models.map((m) => ({\n            model_id: m.model_id,\n            api_key: m.apiKey,\n            ...(m.maxTokens !== undefined ? { max_tokens: m.maxTokens } : {}),\n            ...(provider ? { model_factory: provider } : {}),\n          }))\n        ),\n      });\n      const result = await response.json();\n      if (response.status !== 200) {\n        throw new ModelError(\n          result.detail || result.message || \"Failed to update the custom model\",\n          response.status\n        );\n      }\n      return result;\n    } catch (error) {\n      if (error instanceof ModelError) throw error;\n      throw new ModelError(\"Failed to update the custom model\", 500);\n    }\n  },\n\n  // Delete custom model\n  deleteCustomModel: async (\n    displayName: string,\n    provider?: string\n  ): Promise<void> => {\n    try {\n      const baseUrl = API_ENDPOINTS.model.customModelDelete(displayName);\n      const url = provider\n        ? `${baseUrl}&provider=${encodeURIComponent(provider)}`\n        : baseUrl;\n      const response = await fetch(url, {\n        method: \"POST\",\n        headers: getAuthHeaders(),\n      });\n      const result = await response.json();\n      if (response.status !== 200) {\n        throw new ModelError(\n          result.detail || result.message || \"删除自定义模型失败\",\n          response.status\n        );\n      }\n    } catch (error) {\n      if (error instanceof ModelError) throw error;\n      throw new ModelError(\"删除自定义模型失败\", 500);\n    }\n  },\n\n  // Verify custom model connection\n  verifyCustomModel: async (\n    displayName: string,\n    signal?: AbortSignal\n  ): Promise<boolean> => {\n    try {\n      if (!displayName) return false;\n      const response = await fetch(\n        API_ENDPOINTS.model.customModelHealthcheck(displayName),\n        {\n          method: \"POST\",\n          headers: getAuthHeaders(),\n          signal,\n        }\n      );\n      const result = await response.json();\n      if (response.status === 200 && result.data) {\n        return result.data.connectivity;\n      }\n      return false;\n    } catch (error) {\n      if (error instanceof Error && error.name === \"AbortError\") {\n        log.warn(`验证模型 ${displayName} 连接被取消`);\n        throw error;\n      }\n      log.error(`验证模型 ${displayName} 连接失败:`, error);\n      return false;\n    }\n  },\n\n  // Check model connectivity for a specific tenant (admin/manage operation)\n  checkManageTenantModelConnectivity: async (\n    tenantId: string,\n    displayName: string,\n    signal?: AbortSignal\n  ): Promise<boolean> => {\n    try {\n      if (!displayName) return false;\n      const response = await fetch(API_ENDPOINTS.model.manageModelHealthcheck, {\n        method: \"POST\",\n        headers: {\n          ...getAuthHeaders(),\n          \"Content-Type\": \"application/json\",\n        },\n        body: JSON.stringify({\n          tenant_id: tenantId,\n          display_name: displayName,\n        }),\n        signal,\n      });\n      const result = await response.json();\n      if (response.status === 200 && result.data) {\n        return result.data.connectivity;\n      }\n      return false;\n    } catch (error) {\n      if (error instanceof Error && error.name === \"AbortError\") {\n        log.warn(`验证模型 ${displayName} (租户: ${tenantId}) 连接被取消`);\n        throw error;\n      }\n      log.error(`验证模型 ${displayName} (租户: ${tenantId}) 连接失败:`, error);\n      return false;\n    }\n  },\n\n  // Verify model configuration connectivity before adding it\n  verifyModelConfigConnectivity: async (\n    config: {\n      modelName: string;\n      modelType: ModelType;\n      baseUrl: string;\n      apiKey: string;\n      maxTokens?: number;\n      embeddingDim?: number;\n    },\n    signal?: AbortSignal\n  ): Promise<ModelValidationResponse> => {\n    try {\n      const response = await fetch(API_ENDPOINTS.model.verifyModelConfig, {\n        method: \"POST\",\n        headers: getAuthHeaders(),\n        body: JSON.stringify({\n          model_name: config.modelName,\n          model_type: config.modelType,\n          base_url: config.baseUrl,\n          api_key: config.apiKey || \"sk-no-api-key\",\n          max_tokens: config.maxTokens || 4096,\n          embedding_dim: config.embeddingDim || 1024,\n        }),\n        signal,\n      });\n\n      const result = await response.json();\n\n      if (response.status === 200 && result.data) {\n        return {\n          connectivity: result.data.connectivity,\n          model_name: result.data.model_name || \"UNKNOWN_MODEL\",\n          error: result.data.connectivity ? undefined : result.data.error || result.detail || result.message,\n        };\n      }\n\n      return {\n        connectivity: false,\n        model_name: result.data?.model_name || \"UNKNOWN_MODEL\",\n        error: result.detail || result.message || \"Connection verification failed\",\n      };\n    } catch (error) {\n      if (error instanceof Error && error.name === \"AbortError\") {\n        log.warn(\"Model configuration connectivity verification cancelled\");\n        throw error;\n      }\n      log.error(\"Model configuration connectivity verification failed:\", error);\n      return {\n        connectivity: false,\n        model_name: \"UNKNOWN_MODEL\",\n        error: error instanceof Error ? error.message : String(error),\n      };\n    }\n  },\n\n  // Get LLM model list for generation\n  getLLMModels: async (): Promise<ModelOption[]> => {\n    try {\n      const response = await fetch(API_ENDPOINTS.model.llmModelList, {\n        headers: getAuthHeaders(),\n      });\n      const result = await response.json();\n\n      if (response.status === STATUS_CODES.SUCCESS && result.data) {\n        // Return all models, not just available ones\n        return result.data.map((model: any) => ({\n          id: model.model_id || model.id,\n          name: model.model_name || model.name,\n          type: MODEL_TYPES.LLM,\n          maxTokens: model.max_tokens || 0,\n          source: model.model_factory || MODEL_SOURCES.OPENAI_API_COMPATIBLE,\n          apiKey: model.api_key || \"\",\n          apiUrl: model.base_url || \"\",\n          displayName: model.display_name || model.model_name || model.name,\n          connect_status: model.connect_status as ModelConnectStatus,\n        }));\n      }\n\n      return [];\n    } catch (error) {\n      log.warn(\"Failed to load LLM models:\", error);\n      return [];\n    }\n  },\n\n  // Manage tenant models (for admin operations with tenant_id)\n  getManageTenantModels: async (params: {\n    tenantId: string;\n    modelType?: string;\n    page?: number;\n    pageSize?: number;\n  }): Promise<{\n    models: ModelOption[];\n    total: number;\n    page: number;\n    pageSize: number;\n    totalPages: number;\n    tenantName: string;\n  }> => {\n    try {\n      const response = await fetch(API_ENDPOINTS.model.manageModelList, {\n        method: \"POST\",\n        headers: {\n          ...getAuthHeaders(),\n          \"Content-Type\": \"application/json\",\n        },\n        body: JSON.stringify({\n          tenant_id: params.tenantId,\n          model_type: params.modelType,\n          page: params.page || 1,\n          page_size: params.pageSize || 20,\n        }),\n      });\n      const result = await response.json();\n\n      if (response.status === STATUS_CODES.SUCCESS && result.data) {\n        return {\n          models: result.data.models.map((model: any) => ({\n            id: model.model_id,\n            name: model.model_name,\n            type: model.model_type as ModelType,\n            maxTokens: model.max_tokens || 0,\n            source: model.model_factory as ModelSource,\n            apiKey: model.api_key || \"\",\n            apiUrl: model.base_url || \"\",\n            displayName: model.display_name || model.model_name,\n            connect_status: model.connect_status as ModelConnectStatus,\n            expectedChunkSize: model.expected_chunk_size,\n            maximumChunkSize: model.maximum_chunk_size,\n            chunkingBatchSize: model.chunk_batch,\n          })),\n          total: result.data.total || 0,\n          page: result.data.page || 1,\n          pageSize: result.data.page_size || 20,\n          totalPages: result.data.total_pages || 0,\n          tenantName: result.data.tenant_name || \"\",\n        };\n      }\n\n      return {\n        models: [],\n        total: 0,\n        page: 1,\n        pageSize: 20,\n        totalPages: 0,\n        tenantName: \"\",\n      };\n    } catch (error) {\n      log.warn(\"Failed to load manage tenant models:\", error);\n      return {\n        models: [],\n        total: 0,\n        page: 1,\n        pageSize: 20,\n        totalPages: 0,\n        tenantName: \"\",\n      };\n    }\n  },\n\n  // Create model for a specific tenant\n  createManageTenantModel: async (params: {\n    tenantId: string;\n    name: string;\n    type: ModelType;\n    url: string;\n    apiKey: string;\n    maxTokens?: number;\n    displayName?: string;\n    expectedChunkSize?: number;\n    maximumChunkSize?: number;\n    chunkingBatchSize?: number;\n  }): Promise<void> => {\n    try {\n      const response = await fetch(API_ENDPOINTS.model.manageModelCreate, {\n        method: \"POST\",\n        headers: {\n          ...getAuthHeaders(),\n          \"Content-Type\": \"application/json\",\n        },\n        body: JSON.stringify({\n          tenant_id: params.tenantId,\n          model_repo: \"\",\n          model_name: params.name,\n          model_type: params.type,\n          base_url: params.url,\n          api_key: params.apiKey,\n          max_tokens: params.maxTokens || 4096,\n          display_name: params.displayName || params.name,\n          expected_chunk_size: params.expectedChunkSize,\n          maximum_chunk_size: params.maximumChunkSize,\n          chunk_batch: params.chunkingBatchSize,\n        }),\n      });\n\n      const result = await response.json();\n      if (response.status !== STATUS_CODES.SUCCESS) {\n        throw new ModelError(\n          result.detail || result.message || \"Failed to create model for tenant\",\n          response.status\n        );\n      }\n    } catch (error) {\n      if (error instanceof ModelError) throw error;\n      log.warn(\"Failed to create manage tenant model:\", error);\n      throw new ModelError(\"Failed to create model for tenant\", 500);\n    }\n  },\n\n  // Update model for a specific tenant\n  updateManageTenantModel: async (params: {\n    tenantId: string;\n    currentDisplayName: string;\n    displayName?: string;\n    url: string;\n    apiKey: string;\n    maxTokens?: number;\n    expectedChunkSize?: number;\n    maximumChunkSize?: number;\n    chunkingBatchSize?: number;\n  }): Promise<void> => {\n    try {\n      const response = await fetch(\n        API_ENDPOINTS.model.manageModelUpdate(params.currentDisplayName),\n        {\n          method: \"POST\",\n          headers: {\n            ...getAuthHeaders(),\n            \"Content-Type\": \"application/json\",\n          },\n          body: JSON.stringify({\n            tenant_id: params.tenantId,\n            current_display_name: params.currentDisplayName,\n            ...(params.displayName !== undefined ? { display_name: params.displayName } : {}),\n            base_url: params.url,\n            api_key: params.apiKey,\n            ...(params.maxTokens !== undefined ? { max_tokens: params.maxTokens } : {}),\n            ...(params.expectedChunkSize !== undefined ? { expected_chunk_size: params.expectedChunkSize } : {}),\n            ...(params.maximumChunkSize !== undefined ? { maximum_chunk_size: params.maximumChunkSize } : {}),\n            ...(params.chunkingBatchSize !== undefined ? { chunk_batch: params.chunkingBatchSize } : {}),\n          }),\n        }\n      );\n\n      const result = await response.json();\n      if (response.status !== STATUS_CODES.SUCCESS) {\n        throw new ModelError(\n          result.detail || result.message || \"Failed to update model for tenant\",\n          response.status\n        );\n      }\n    } catch (error) {\n      if (error instanceof ModelError) throw error;\n      log.warn(\"Failed to update manage tenant model:\", error);\n      throw new ModelError(\"Failed to update model for tenant\", 500);\n    }\n  },\n\n  // Delete model from a specific tenant\n  deleteManageTenantModel: async (params: {\n    tenantId: string;\n    displayName: string;\n  }): Promise<void> => {\n    try {\n      const response = await fetch(\n        API_ENDPOINTS.model.manageModelDelete(params.displayName),\n        {\n          method: \"POST\",\n          headers: {\n            ...getAuthHeaders(),\n            \"Content-Type\": \"application/json\",\n          },\n          body: JSON.stringify({\n            tenant_id: params.tenantId,\n            display_name: params.displayName,\n          }),\n        }\n      );\n\n      const result = await response.json();\n      if (response.status !== STATUS_CODES.SUCCESS) {\n        throw new ModelError(\n          result.detail || result.message || \"Failed to delete model for tenant\",\n          response.status\n        );\n      }\n    } catch (error) {\n      if (error instanceof ModelError) throw error;\n      log.warn(\"Failed to delete manage tenant model:\", error);\n      throw new ModelError(\"Failed to delete model for tenant\", 500);\n    }\n  },\n\n  // Batch create models for a specific tenant\n  batchCreateManageTenantModels: async (params: {\n    tenantId: string;\n    provider: string;\n    type: string;\n    apiKey: string;\n    models: Array<{\n      id: string;\n      object?: string;\n      created?: number;\n      owned_by?: string;\n      max_tokens?: number;\n    }>;\n  }): Promise<{ tenantId: string; provider: string; type: string; modelsCount: number }> => {\n    try {\n      const response = await fetch(API_ENDPOINTS.model.manageModelBatchCreate, {\n        method: \"POST\",\n        headers: {\n          ...getAuthHeaders(),\n          \"Content-Type\": \"application/json\",\n        },\n        body: JSON.stringify({\n          tenant_id: params.tenantId,\n          provider: params.provider,\n          type: params.type,\n          api_key: params.apiKey,\n          models: params.models,\n        }),\n      });\n\n      const result = await response.json();\n      if (response.status !== STATUS_CODES.SUCCESS) {\n        throw new ModelError(\n          result.detail || result.message || \"Failed to batch create models for tenant\",\n          response.status\n        );\n      }\n      return {\n        tenantId: result.data.tenant_id,\n        provider: result.data.provider,\n        type: result.data.type,\n        modelsCount: result.data.models_count,\n      };\n    } catch (error) {\n      if (error instanceof ModelError) throw error;\n      log.warn(\"Failed to batch create manage tenant models:\", error);\n      throw new ModelError(\"Failed to batch create models for tenant\", 500);\n    }\n  },\n\n  // Create/fetch provider models for a specific tenant (admin/manage operation)\n  addManageProviderModel: async (params: {\n    tenantId: string;\n    provider: string;\n    type: ModelType;\n    apiKey: string;\n    baseUrl?: string;\n  }): Promise<any[]> => {\n    try {\n      const response = await fetch(API_ENDPOINTS.model.manageProviderModelCreate, {\n        method: \"POST\",\n        headers: {\n          ...getAuthHeaders(),\n          \"Content-Type\": \"application/json\",\n        },\n        body: JSON.stringify({\n          tenant_id: params.tenantId,\n          provider: params.provider,\n          model_type: params.type,\n          api_key: params.apiKey,\n          ...(params.baseUrl ? { base_url: params.baseUrl } : {}),\n        }),\n      });\n\n      const result = await response.json();\n      if (response.status !== STATUS_CODES.SUCCESS) {\n        throw new ModelError(result.detail || result.message || \"Failed to create provider models for tenant\", response.status);\n      }\n      return result.data || [];\n    } catch (error) {\n      if (error instanceof ModelError) throw error;\n      log.warn(\"Failed to create manage provider models:\", error);\n      throw new ModelError(\"Failed to create provider models for tenant\", 500);\n    }\n  },\n\n  // Get provider selected modal list for a specific tenant (admin/manage operation)\n  getManageProviderSelectedModalList: async (params: {\n    tenantId: string;\n    provider: string;\n    type: ModelType;\n  }): Promise<any[]> => {\n    try {\n      const response = await fetch(API_ENDPOINTS.model.manageProviderModelList, {\n        method: \"POST\",\n        headers: {\n          ...getAuthHeaders(),\n          \"Content-Type\": \"application/json\",\n        },\n        body: JSON.stringify({\n          tenant_id: params.tenantId,\n          provider: params.provider,\n          model_type: params.type,\n        }),\n      });\n\n      const result = await response.json();\n      if (response.status !== STATUS_CODES.SUCCESS) {\n        throw new ModelError(result.detail || result.message || \"Failed to get provider selected list for tenant\", response.status);\n      }\n      return result.data || [];\n    } catch (error) {\n      if (error instanceof ModelError) throw error;\n      log.warn(\"Failed to get manage provider selected list:\", error);\n      throw new ModelError(\"Failed to get provider selected list for tenant\", 500);\n    }\n  },\n};\n\n// -------- Provider detection helpers (for UI rendering) --------\n\n/**\n * Detect provider key from the given base URL by substring matching using single hint strings.\n */\nexport function detectProviderFromUrl(\n  apiUrl: string | undefined | null\n): ModelProviderKey | null {\n  if (!apiUrl) return null;\n  const lower = apiUrl.toLowerCase();\n  for (const key of MODEL_PROVIDER_KEYS) {\n    const hint = PROVIDER_HINTS[key];\n    if (lower.includes(hint)) return key;\n  }\n  return null;\n}\n\n/**\n * Get provider icon path from a base URL, falling back to default icon when unknown.\n */\nexport function getProviderIconByUrl(\n  apiUrl: string | undefined | null\n): string {\n  const key = detectProviderFromUrl(apiUrl);\n  return key\n    ? PROVIDER_ICON_MAP[key] || DEFAULT_PROVIDER_ICON\n    : DEFAULT_PROVIDER_ICON;\n}\n\n/**\n * Get icon for official ModelEngine items explicitly.\n */\nexport function getOfficialProviderIcon(): string {\n  return OFFICIAL_PROVIDER_ICON;\n}\n"
  },
  {
    "path": "frontend/services/promptService.ts",
    "content": "import { API_ENDPOINTS } from './api';\n\nimport { GeneratePromptParams, StreamResponseData } from '@/types/agentConfig';\nimport { fetchWithAuth, getAuthHeaders } from '@/lib/auth';\n// @ts-ignore\nconst fetch = fetchWithAuth;\n\n/**\n * Get Request Headers\n */\nconst getHeaders = () => {\n  return getAuthHeaders();\n};\n\nexport const generatePromptStream = async (\n  params: GeneratePromptParams,\n  onData: (data: StreamResponseData) => void,\n  onError?: (err: any) => void,\n  onComplete?: () => void\n) => {\n  try {\n    const response = await fetch(API_ENDPOINTS.prompt.generate, {\n      method: 'POST',\n      headers: getHeaders(),\n      body: JSON.stringify(params),\n    });\n\n    if (!response.body) throw new Error('No response body');\n\n    const reader = response.body.getReader();\n    const decoder = new TextDecoder('utf-8');\n    let buffer = '';\n    let hasError = false;\n\n    while (true) {\n      const { value, done } = await reader.read();\n      if (done) break;\n      buffer += decoder.decode(value, { stream: true });\n\n      let lines = buffer.split('\\n\\n');\n      buffer = lines.pop() || '';\n      for (const line of lines) {\n        if (line.startsWith('data: ')) {\n          try {\n            const json = JSON.parse(line.replace('data: ', ''));\n            if (json.success) {\n              onData(json.data);\n            } else if (json.success === false && json.error) {\n              // Handle error response from backend\n              hasError = true;\n              if (onError) onError(json.error);\n            }\n          } catch (e) {\n            if (onError) onError(e);\n          }\n        }\n      }\n    }\n    // Only call onComplete if no error occurred\n    if (!hasError && onComplete) onComplete();\n  } catch (err) {\n    if (onError) onError(err);\n    if (onComplete) onComplete();\n  }\n};\n"
  },
  {
    "path": "frontend/services/sessionService.ts",
    "content": "/**\n * Session management service\n * Pure API layer for session operations\n *\n * After HttpOnly cookie migration:\n * - refresh_token is sent automatically via HttpOnly cookie\n * - server.js extracts it and forwards to backend in the request body\n * - New tokens are set as cookies by server.js in the response\n */\n\nimport { API_ENDPOINTS } from \"./api\";\nimport { fetchWithAuth } from \"@/lib/auth\";\nimport { Session } from \"@/types/auth\";\n\nexport const sessionService = {\n  /**\n   * Call backend refresh token API.\n   * No need to pass refresh_token — it's in the HttpOnly cookie.\n   * server.js intercepts this request and injects refresh_token into the body.\n   * @returns new session (expires_at only) or null if failed\n   */\n  refreshToken: async (): Promise<Session | null> => {\n    try {\n      const response = await fetchWithAuth(API_ENDPOINTS.user.refreshToken, {\n        method: \"POST\",\n        body: JSON.stringify({}),\n      });\n\n      if (!response.ok) {\n        return null;\n      }\n\n      const data = await response.json();\n      const session = data.data?.session;\n      if (session && session.expires_at) {\n        return { expires_at: session.expires_at };\n      }\n      return null;\n    } catch {\n      return null;\n    }\n  },\n};\n"
  },
  {
    "path": "frontend/services/storageService.ts",
    "content": "import { API_ENDPOINTS } from \"./api\";\nimport { StorageUploadResult } from \"../types/chat\";\n\nimport { fetchWithAuth } from \"@/lib/auth\";\n// @ts-ignore\nconst fetch = fetchWithAuth;\n\n/**\n * Extract object_name from file URL\n * Supports formats like:\n * - http://localhost:3000/nexent/attachments/filename.png\n * - /nexent/attachments/filename.png\n * - attachments/filename.png\n * - s3://nexent/attachments/filename.png\n * Works for all file types: images, videos, documents, etc.\n * @param url File URL (can be image, video, document, or any other file type)\n * @returns object_name or null\n */\nexport function extractObjectNameFromUrl(url: string): string | null {\n  try {\n    // Handle s3:// protocol URLs (e.g., s3://nexent/attachments/filename.png)\n    if (url.startsWith(\"s3://\")) {\n      // Remove s3:// prefix\n      const withoutProtocol = url.replace(/^s3:\\/\\//, \"\");\n      const parts = withoutProtocol.split(\"/\").filter(Boolean);\n\n      // Find attachments in path\n      const attachmentsIndex = parts.indexOf(\"attachments\");\n      if (attachmentsIndex >= 0) {\n        return parts.slice(attachmentsIndex).join(\"/\");\n      }\n\n      // If no attachments found but has bucket and path, return the path after bucket\n      if (parts.length > 1) {\n        return parts.slice(1).join(\"/\");\n      }\n\n      // If only one part, return it as object_name\n      if (parts.length === 1) {\n        return parts[0];\n      }\n\n      return null;\n    }\n\n    // Handle object_name or relative paths directly (e.g. \"attachments/xxx.pdf\")\n    const isHttpUrl = url.startsWith(\"http://\") || url.startsWith(\"https://\");\n    if (!isHttpUrl) {\n      // Remove leading \"/\" if present\n      const normalized = url.replace(/^\\/+/, \"\");\n      if (!normalized) {\n        return null;\n      }\n\n      const attachmentsIndex = normalized.indexOf(\"attachments/\");\n      if (attachmentsIndex >= 0) {\n        return normalized.slice(attachmentsIndex);\n      }\n\n      // If there is no \"attachments\" segment but this is a plain path,\n      // treat the whole normalized path as object_name\n      return normalized;\n    }\n\n    // Handle relative URLs\n    if (url.startsWith(\"/\")) {\n      // Remove leading slash and extract path after /nexent/ or /attachments/\n      const parts = url.split(\"/\").filter(Boolean);\n      const attachmentsIndex = parts.indexOf(\"attachments\");\n      if (attachmentsIndex >= 0) {\n        return parts.slice(attachmentsIndex).join(\"/\");\n      }\n      // If no attachments found, try to find the last part\n      if (parts.length > 0) {\n        return parts.join(\"/\");\n      }\n    }\n\n    // Handle full URLs\n    const urlObj = new URL(url);\n    const pathname = urlObj.pathname;\n    const parts = pathname.split(\"/\").filter(Boolean);\n\n    // Find attachments in path\n    const attachmentsIndex = parts.indexOf(\"attachments\");\n    if (attachmentsIndex >= 0) {\n      return parts.slice(attachmentsIndex).join(\"/\");\n    }\n\n    // If no attachments found, return the last meaningful part\n    if (parts.length > 0) {\n      return parts.join(\"/\");\n    }\n\n    return null;\n  } catch (error) {\n    return null;\n  }\n}\n\n/**\n * Convert image URL to backend API URL\n * @param url Original image URL (can be MinIO URL or local path)\n * @returns Backend API URL for the image\n */\nexport function convertImageUrlToApiUrl(url: string): string {\n  // If URL is an external http/https URL (not backend API), use proxy to avoid CORS and 403 errors\n  if (\n    (url.startsWith(\"http://\") || url.startsWith(\"https://\")) &&\n    !url.includes(\"/api/file/download/\") &&\n    !url.includes(\"/api/image\")\n  ) {\n    // Use backend proxy to fetch external images (avoids CORS and hotlink protection)\n    return API_ENDPOINTS.proxy.image(url);\n  }\n\n  const objectName = extractObjectNameFromUrl(url);\n  if (objectName) {\n    // Use the same download endpoint with stream mode for images\n    return API_ENDPOINTS.storage.file(objectName, \"stream\");\n  }\n  // Fallback to original URL if extraction fails\n  return url;\n}\n\nconst arrayBufferToBase64 = (buffer: ArrayBuffer): string => {\n  let binary = \"\";\n  const bytes = new Uint8Array(buffer);\n  const chunkSize = 0x8000;\n\n  for (let i = 0; i < bytes.length; i += chunkSize) {\n    const chunk = bytes.subarray(i, i + chunkSize);\n    binary += String.fromCharCode(...chunk);\n  }\n\n  return btoa(binary);\n};\n\nconst fetchBase64ViaStorage = async (objectName: string) => {\n  const response = await fetch(\n    API_ENDPOINTS.storage.file(objectName, \"base64\")\n  );\n  if (!response.ok) {\n    throw new Error(`Failed to resolve S3 URL via storage: ${response.status}`);\n  }\n\n  const data = await response.json();\n  if (!data?.success || !data?.base64) {\n    throw new Error(data?.error || \"Storage response missing base64 content\");\n  }\n\n  const contentType = data.content_type || \"application/octet-stream\";\n  return { base64: data.base64 as string, contentType };\n};\n\n// Cache for S3 URL to data URL resolution to avoid duplicate network requests\nconst s3ResolutionCache = new Map<string, Promise<string | null>>();\n\n// Internal helper: for s3:// URLs, resolve directly via storage download endpoint.\nasync function resolveS3UrlToDataUrlInternal(\n  url: string\n): Promise<string | null> {\n  const objectName = extractObjectNameFromUrl(url);\n  if (!objectName) {\n    return null;\n  }\n\n  const { base64, contentType } = await fetchBase64ViaStorage(objectName);\n  return `data:${contentType};base64,${base64}`;\n}\n\nexport async function resolveS3UrlToDataUrl(\n  url: string\n): Promise<string | null> {\n  if (!url || !url.startsWith(\"s3://\")) {\n    return null;\n  }\n\n  const cached = s3ResolutionCache.get(url);\n  if (cached) {\n    return cached;\n  }\n\n  const promise = resolveS3UrlToDataUrlInternal(url).catch((error) => {\n    // Remove from cache on failure so that future attempts can retry.\n    s3ResolutionCache.delete(url);\n    throw error;\n  });\n\n  s3ResolutionCache.set(url, promise);\n  return promise;\n}\n\nexport const storageService = {\n  /**\n   * Upload files to storage service\n   * @param files List of files to upload\n   * @param folder Optional folder path\n   * @returns Upload result\n   */\n  async uploadFiles(\n    files: File[],\n    folder: string = \"attachments\"\n  ): Promise<StorageUploadResult> {\n    // Create FormData object\n    const formData = new FormData();\n\n    // Add files\n    files.forEach((file) => {\n      formData.append(\"files\", file);\n    });\n\n    // Add folder parameter\n    formData.append(\"folder\", folder);\n\n    // Send request\n    const response = await fetch(API_ENDPOINTS.storage.upload, {\n      method: \"POST\",\n      body: formData,\n    });\n\n    if (!response.ok) {\n      throw new Error(\n        `Failed to upload files to Minio: ${response.statusText}`\n      );\n    }\n\n    return await response.json();\n  },\n\n  /**\n   * Get the URL of a single file\n   * @param objectName File object name\n   * @returns File URL\n   */\n  async getFileUrl(objectName: string): Promise<string> {\n    const response = await fetch(API_ENDPOINTS.storage.file(objectName));\n\n    if (!response.ok) {\n      throw new Error(\n        `Failed to get file URL from Minio: ${response.statusText}`\n      );\n    }\n\n    const data = await response.json();\n    return data.url;\n  },\n\n  /**\n   * Download file directly using backend API (faster, browser handles download)\n   * @param objectName File object name\n   * @param filename Optional filename for download\n   * @returns Promise that resolves when download link is opened\n   */\n  async downloadFile(objectName: string, filename?: string): Promise<void> {\n    try {\n      // Use direct link download for better performance\n      // Browser will handle the download stream directly\n      // Pass filename to backend so it can set the correct Content-Disposition header\n      const downloadUrl = API_ENDPOINTS.storage.file(\n        objectName,\n        \"stream\",\n        filename\n      );\n\n      // Create download link and trigger download\n      // Using direct link allows browser to handle download stream efficiently\n      const link = document.createElement(\"a\");\n      link.href = downloadUrl;\n      // Set download attribute as fallback (browser will use Content-Disposition header if available)\n      link.download = filename || objectName.split(\"/\").pop() || \"download\";\n      link.style.display = \"none\";\n      document.body.appendChild(link);\n\n      // Trigger download\n      link.click();\n\n      // Clean up after a short delay to ensure download starts\n      setTimeout(() => {\n        document.body.removeChild(link);\n      }, 100);\n    } catch (error) {\n      throw new Error(\n        `Failed to download file: ${error instanceof Error ? error.message : String(error)}`\n      );\n    }\n  },\n\n  /**\n   * Download file from Datamate knowledge base via HTTP URL\n   * @param url HTTP URL of the file to download\n   * @param filename Optional filename for download\n   * @returns Promise that resolves when download link is opened\n   */\n  async downloadDatamateFile(options: {\n    url?: string;\n    baseUrl?: string;\n    datasetId?: string;\n    fileId?: string;\n    filename?: string;\n  }): Promise<void> {\n    try {\n      const downloadUrl = API_ENDPOINTS.storage.datamateDownload(options);\n      const link = document.createElement(\"a\");\n      link.href = downloadUrl;\n      // Only set download attribute when caller explicitly provides a filename.\n      // Otherwise, let the browser use the Content-Disposition header from backend,\n      // which already encodes the correct filename.\n      if (options.filename) {\n        link.download = options.filename;\n      }\n      link.style.display = \"none\";\n      document.body.appendChild(link);\n      link.click();\n      setTimeout(() => {\n        document.body.removeChild(link);\n      }, 100);\n    } catch (error) {\n      throw new Error(\n        `Failed to download datamate file: ${error instanceof Error ? error.message : String(error)}`\n      );\n    }\n  },\n};\n"
  },
  {
    "path": "frontend/services/tenantService.ts",
    "content": "import { API_ENDPOINTS, ApiError } from \"./api\";\nimport { fetchWithAuth } from \"@/lib/auth\";\n\n// Types\nexport interface Tenant {\n  tenant_id: string;\n  tenant_name: string;\n  created_by?: string;\n  created_at?: string;\n  updated_at?: string;\n  user_count?: number;\n  group_count?: number;\n}\n\nexport interface CreateTenantRequest {\n  tenant_name: string;\n}\n\nexport interface UpdateTenantRequest {\n  tenant_name: string;\n}\n\nexport interface TenantListResponse {\n  data: Tenant[];\n  message: string;\n}\n\nexport interface TenantListPaginatedResponse {\n  data: Tenant[];\n  message: string;\n  total: number;\n  page: number;\n  page_size: number;\n  total_pages: number;\n}\n\nexport interface TenantDetailResponse {\n  data: Tenant;\n  message: string;\n}\n\nexport interface CreateTenantResponse {\n  data: Tenant;\n  message: string;\n}\n\nexport interface TenantUser {\n  user_tenant_id: number;\n  user_id: string;\n  tenant_id: string;\n  user_role: string;\n  user_email: string;\n  create_time: string;\n  update_time: string;\n}\n\nexport interface TenantUsersResponse {\n  users: TenantUser[];\n  total: number;\n  message: string;\n}\n\nexport interface ListTenantsParams {\n  page?: number;\n  page_size?: number;\n}\n\n/**\n * List tenants with pagination support (filtered by user permissions)\n */\nexport async function listTenants(params?: ListTenantsParams): Promise<TenantListPaginatedResponse> {\n  try {\n    const url = API_ENDPOINTS.tenant.list;\n\n    const response = await fetchWithAuth(url, {\n      method: \"POST\",\n      headers: {\n        \"Content-Type\": \"application/json\",\n      },\n      body: JSON.stringify({\n        page: params?.page ?? 1,\n        page_size: params?.page_size ?? 20,\n      }),\n    });\n\n    const result: TenantListPaginatedResponse = await response.json();\n    return result;\n  } catch (error) {\n    if (error instanceof ApiError) {\n      throw error;\n    }\n    throw new ApiError(500, \"Failed to fetch tenants\");\n  }\n}\n\n/**\n * Get tenant details by tenant ID\n */\nexport async function getTenant(tenantId: string): Promise<Tenant> {\n  try {\n    const response = await fetchWithAuth(\n      API_ENDPOINTS.tenant.detail(tenantId),\n      {\n        method: \"GET\",\n      }\n    );\n\n    const result: TenantDetailResponse = await response.json();\n    return result.data;\n  } catch (error) {\n    if (error instanceof ApiError) {\n      throw error;\n    }\n    throw new ApiError(500, \"Failed to fetch tenant details\");\n  }\n}\n\n/**\n * Create a new tenant\n */\nexport async function createTenant(\n  payload: CreateTenantRequest\n): Promise<Tenant> {\n  try {\n    const response = await fetchWithAuth(API_ENDPOINTS.tenant.create, {\n      method: \"POST\",\n      body: JSON.stringify(payload),\n    });\n\n    const result: CreateTenantResponse = await response.json();\n    return result.data;\n  } catch (error) {\n    if (error instanceof ApiError) {\n      throw error;\n    }\n    throw new ApiError(500, \"Failed to create tenant\");\n  }\n}\n\n/**\n * Update tenant information\n */\nexport async function updateTenant(\n  tenantId: string,\n  payload: UpdateTenantRequest\n): Promise<Tenant> {\n  try {\n    const response = await fetchWithAuth(\n      API_ENDPOINTS.tenant.update(tenantId),\n      {\n        method: \"PUT\",\n        body: JSON.stringify(payload),\n      }\n    );\n\n    const result: TenantDetailResponse = await response.json();\n    return result.data;\n  } catch (error) {\n    if (error instanceof ApiError) {\n      throw error;\n    }\n    throw new ApiError(500, \"Failed to update tenant\");\n  }\n}\n\n/**\n * Delete a tenant\n */\nexport async function deleteTenant(tenantId: string): Promise<void> {\n  try {\n    await fetchWithAuth(API_ENDPOINTS.tenant.delete(tenantId), {\n      method: \"DELETE\",\n    });\n  } catch (error) {\n    if (error instanceof ApiError) {\n      throw error;\n    }\n    throw new ApiError(500, \"Failed to delete tenant\");\n  }\n}\n\n/**\n * Get users belonging to a tenant (using existing users/list endpoint)\n * Returns all users without pagination\n */\nexport async function getTenantUsers(tenantId: string): Promise<TenantUsersResponse> {\n  try {\n    const response = await fetchWithAuth(API_ENDPOINTS.users.list, {\n      method: \"POST\",\n      headers: {\n        \"Content-Type\": \"application/json\",\n      },\n      body: JSON.stringify({\n        tenant_id: tenantId,\n        // Omit page and page_size to get all users\n      }),\n    });\n\n    const result = await response.json();\n    return {\n      users: result.data || [],\n      total: result.total || 0,\n      message: result.message || \"\",\n    };\n  } catch (error) {\n    if (error instanceof ApiError) {\n      throw error;\n    }\n    throw new ApiError(500, \"Failed to fetch tenant users\");\n  }\n}\n"
  },
  {
    "path": "frontend/services/tokenService.ts",
    "content": "import { API_ENDPOINTS, ApiError, fetchWithErrorHandling } from \"./api\";\n\nexport interface UserToken {\n  token_id: number;\n  access_key: string;\n}\n\ninterface TokenListResponse {\n  data: UserToken[];\n  message: string;\n}\n\ninterface TokenCreateResponse {\n  data: UserToken;\n  message: string;\n}\n\n/**\n * Fetch all API tokens for a given user\n */\nexport async function getUserTokens(userId: string | number): Promise<UserToken[]> {\n  try {\n    const response = await fetchWithErrorHandling(\n      `${API_ENDPOINTS.user.tokens}?user_id=${userId}`\n    );\n    const result: TokenListResponse = await response.json();\n    return result.data ?? [];\n  } catch (error) {\n    if (error instanceof ApiError) {\n      throw error;\n    }\n    throw new ApiError(500, \"Failed to fetch user tokens\");\n  }\n}\n\n/**\n * Delete an API token by its ID\n */\nexport async function deleteUserToken(tokenId: number): Promise<void> {\n  try {\n    await fetchWithErrorHandling(API_ENDPOINTS.user.deleteToken(tokenId), {\n      method: \"DELETE\",\n    });\n  } catch (error) {\n    if (error instanceof ApiError) {\n      throw error;\n    }\n    throw new ApiError(500, \"Failed to delete token\");\n  }\n}\n\n/**\n * Create a new API token for the current user.\n * Replaces any existing tokens by deleting them first.\n */\nexport async function createUserToken(): Promise<UserToken> {\n  try {\n    const response = await fetchWithErrorHandling(API_ENDPOINTS.user.tokens, {\n      method: \"POST\",\n    });\n    const result: TokenCreateResponse = await response.json();\n    return result.data;\n  } catch (error) {\n    if (error instanceof ApiError) {\n      throw error;\n    }\n    throw new ApiError(500, \"Failed to create token\");\n  }\n}\n"
  },
  {
    "path": "frontend/services/uploadService.ts",
    "content": "import { TFunction } from 'i18next';\n\nimport { NAME_CHECK_STATUS } from '@/const/agentConfig';\nimport knowledgeBaseService from '@/services/knowledgeBaseService';\nimport { AbortableError } from '@/types/knowledgeBase';\nimport log from \"@/lib/logger\";\n\nimport '../app/[locale]/i18n';\n\n// New method to check knowledge base name status\nexport const checkKnowledgeBaseName = async (\n  knowledgeBaseName: string,\n  t: TFunction\n): Promise<{status: string, action?: string}> => {\n  try {\n    // Call new service method\n    return await knowledgeBaseService.checkKnowledgeBaseName(knowledgeBaseName);\n  } catch (error) {\n    log.error(t('knowledgeBase.check.nameError'), error);\n    // Return a status indicating check failure\n    return { status: NAME_CHECK_STATUS.CHECK_FAILED };\n  }\n};\n\n\n// Get knowledge base document information\nexport const fetchKnowledgeBaseInfo = async (\n  indexName: string, \n  abortController: AbortController, \n  currentKnowledgeBaseRef: React.MutableRefObject<string>,\n  onSuccess: () => void,\n  onError: (error: unknown) => void,\n  t: TFunction,\n  message: any\n) => {\n  try {\n    if (!abortController.signal.aborted && indexName === currentKnowledgeBaseRef.current) {\n      onSuccess();\n    }\n  } catch (error: unknown) {\n    const err = error as AbortableError;\n    if (err.name !== 'AbortError' && indexName === currentKnowledgeBaseRef.current) {\n      log.error(t('knowledgeBase.fetch.error'), error);\n      message.error(t('knowledgeBase.fetch.retryError'));\n      onError(error);\n    }\n  }\n};\n\n// File type validation\nexport const validateFileType = (file: File, t: TFunction, message: any): boolean => {\n  const validTypes = [\n    'application/pdf',\n    'application/vnd.openxmlformats-officedocument.wordprocessingml.document',\n    'application/vnd.openxmlformats-officedocument.presentationml.presentation',\n    'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet',\n    'text/markdown',\n    'text/plain',\n    'text/csv',\n    'application/csv'\n  ];\n\n  // First check MIME type\n  let isValidType = validTypes.includes(file.type);\n\n  // If MIME type is empty or not in the list, check by file extension\n  if (!isValidType) {\n    const name = file.name.toLowerCase();\n    if (\n      name.endsWith('.md') ||\n      name.endsWith('.markdown') ||\n      name.endsWith('.csv')\n    ) {\n      isValidType = true;\n    }\n  }\n\n  if (!isValidType) {\n    message.error(t('knowledgeBase.upload.invalidFileType'));\n    return false;\n  }\n\n  return true;\n};\n"
  },
  {
    "path": "frontend/services/userService.ts",
    "content": "import { API_ENDPOINTS, ApiError } from \"./api\";\nimport { fetchWithAuth } from \"@/lib/auth\";\n\n// Types\nexport interface User {\n  id: string;\n  username: string;\n  role: string;\n  email?: string;\n  tenant_id?: string;\n  created_at?: string;\n  updated_at?: string;\n}\n\nexport interface UpdateUserRequest {\n  role: string;\n}\n\nexport interface UserListResponse {\n  data: User[];\n  total?: number; // Root-level total for non-paginated responses\n  pagination?: {\n    page: number;\n    page_size: number;\n    total: number;\n    total_pages: number;\n  };\n  message: string;\n}\n\nexport interface UserDetailResponse {\n  data: User;\n  message: string;\n}\n\nexport interface CreateUserResponse {\n  data: User;\n  message: string;\n}\n\n/**\n * List users for a specific tenant\n * If page and pageSize are not provided, returns all users\n */\nexport async function listUsers(\n  tenantId: string | null,\n  page?: number,\n  pageSize?: number\n): Promise<{ users: User[]; total: number; totalPages?: number }> {\n  if (!tenantId) return { users: [], total: 0 };\n\n  try {\n    const requestBody: any = {\n      tenant_id: tenantId,\n      sort_by: \"created_at\",\n      sort_order: \"desc\",\n    };\n\n    // Only include pagination parameters if both are provided\n    if (page !== undefined && pageSize !== undefined) {\n      requestBody.page = page;\n      requestBody.page_size = pageSize;\n    }\n\n    const response = await fetchWithAuth(API_ENDPOINTS.users.list, {\n      method: \"POST\",\n      body: JSON.stringify(requestBody),\n    });\n\n    const result: UserListResponse = await response.json();\n    return {\n      users: result.data,\n      // Support both paginated (pagination.total) and non-paginated (root total) responses\n      total: result.pagination?.total ?? result.total ?? 0,\n      totalPages: result.pagination?.total_pages,\n    };\n  } catch (error) {\n    if (error instanceof ApiError) {\n      throw error;\n    }\n    throw new ApiError(500, \"Failed to fetch users\");\n  }\n}\n\n/**\n * Get user details by user ID\n */\nexport async function getUser(userId: string): Promise<User> {\n  try {\n    const response = await fetchWithAuth(API_ENDPOINTS.users.detail(userId), {\n      method: \"GET\",\n    });\n\n    const result: UserDetailResponse = await response.json();\n    return result.data;\n  } catch (error) {\n    if (error instanceof ApiError) {\n      throw error;\n    }\n    throw new ApiError(500, \"Failed to fetch user details\");\n  }\n}\n\n/**\n * Update user information\n */\nexport async function updateUser(\n  userId: string,\n  payload: UpdateUserRequest\n): Promise<User> {\n  try {\n    const response = await fetchWithAuth(API_ENDPOINTS.users.update(userId), {\n      method: \"PUT\",\n      body: JSON.stringify(payload),\n    });\n\n    const result: UserDetailResponse = await response.json();\n    return result.data;\n  } catch (error) {\n    if (error instanceof ApiError) {\n      throw error;\n    }\n    throw new ApiError(500, \"Failed to update user\");\n  }\n}\n\n/**\n * Delete a user (soft delete)\n */\nexport async function deleteUser(userId: string): Promise<void> {\n  try {\n    await fetchWithAuth(API_ENDPOINTS.users.delete(userId), {\n      method: \"DELETE\",\n    });\n  } catch (error) {\n    if (error instanceof ApiError) {\n      throw error;\n    }\n    throw new ApiError(500, \"Failed to delete user\");\n  }\n}\n"
  },
  {
    "path": "frontend/stores/agentConfigStore.ts",
    "content": "/**\n * agentConfigStore\n *\n * Purpose:\n * - Manage Agent configuration editing state across AgentManage, AgentConfig, AgentInfo\n * - Track baseline vs. edited data\n * - Expose hasUnsavedChanges whenever any tracked field changes\n *\n */\n\nimport { create } from \"zustand\";\n\nimport { Agent, Tool, AgentBusinessInfo, AgentProfileInfo } from \"@/types/agentConfig\";\n\n/**\n * Fields we need to track for dirty detection and editing.\n * Based on Agent interface with snake_case field names.\n * Includes all editable fields from Agent interface (excluding id).\n * tools field represents the selected/enabled tools.\n */\nexport type EditableAgent = Pick<\n  Agent,\n  | \"name\"\n  | \"display_name\"\n  | \"description\"\n  | \"author\"\n  | \"model\"\n  | \"model_id\"\n  | \"max_step\"\n  | \"provide_run_summary\"\n  | \"tools\"\n  | \"duty_prompt\"\n  | \"constraint_prompt\"\n  | \"few_shots_prompt\"\n  | \"business_description\"\n  | \"business_logic_model_name\"\n  | \"business_logic_model_id\"\n  | \"sub_agent_id_list\"\n  | \"group_ids\"\n  | \"ingroup_permission\"\n>;\n\ninterface AgentConfigStoreState {\n  currentAgentId: number | null;\n  /**\n   * Per-agent permission from /agent/list.\n   * - EDIT: editable\n   * - READ_ONLY: read-only\n   * null: unknown / not selected\n   */\n  currentAgentPermission: \"EDIT\" | \"READ_ONLY\" | null;\n  baselineAgent: EditableAgent | null;\n  editedAgent: EditableAgent;\n  hasUnsavedChanges: boolean;\n  isCreatingMode: boolean; // true when user is in create mode, even if currentAgentId is null\n\n  /**\n   * Set current agent (null = create mode).\n   * Resets baseline and edited state.\n   */\n  setCurrentAgent: (agent: Agent | null) => void;\n\n  /**\n   * Enter create mode. Sets isCreatingMode to true and resets state.\n   */\n  enterCreateMode: () => void;\n\n\n  /**\n   * Update tools (selected tools).\n   */\n  updateTools: (tools: Tool[]) => void;\n\n  /**\n   * Update sub_agent_id_list (Component B).\n   */\n  updateSubAgentIds: (ids: number[]) => void;\n\n  /**\n   * Update business info (Component C top):\n   * business_description, business_logic_model_id, business_logic_model_name\n   */\n  updateBusinessInfo: (payload: AgentBusinessInfo) => void;\n\n  /**\n   * Update profile/info fields (Component C bottom):\n   * name, display_name, author, model, model_id,\n   * max_step, description, duty_prompt, constraint_prompt,\n   * few_shots_prompt\n   */\n  updateProfileInfo: (payload: AgentProfileInfo) => void;\n\n  /**\n   * Mark changes as saved: move edited -> baseline, clear hasUnsavedChanges.\n   */\n  markAsSaved: () => void;\n\n  /**\n   * Discard changes: revert edited to baseline.\n   */\n  discardChanges: () => void;\n\n  /**\n   * Reset all state (optional).\n   */\n  reset: () => void;\n\n  /**\n   * Get the current baseline editable agent (null = create or initial state).\n   * Use isCreatingMode to distinguish between initial state and create mode.\n   */\n  getCurrentAgent: () => EditableAgent | null;\n}\n\nconst emptyEditableAgent: EditableAgent = {\n  name: \"\",\n  display_name: \"\",\n  description: \"\",\n  author: \"\",\n  model: \"\",\n  model_id: 0,\n  max_step: 0,\n  provide_run_summary: false,\n  tools: [],\n  duty_prompt: \"\",\n  constraint_prompt: \"\",\n  few_shots_prompt: \"\",\n  business_description: \"\",\n  business_logic_model_name: \"\",\n  business_logic_model_id: 0,\n  sub_agent_id_list: [],\n  group_ids: [],\n  ingroup_permission: \"READ_ONLY\",\n};\n\nconst toEditable = (agent: Agent | null): EditableAgent =>\n  agent\n    ? {\n        name: agent.name,\n        display_name: agent.display_name || \"\",\n        description: agent.description,\n        author: agent.author || \"\",\n        model: agent.model,\n        model_id: agent.model_id || 0,\n        max_step: agent.max_step,\n        provide_run_summary: agent.provide_run_summary,\n        tools: [...(agent.tools || [])],\n        duty_prompt: agent.duty_prompt || \"\",\n        constraint_prompt: agent.constraint_prompt || \"\",\n        few_shots_prompt: agent.few_shots_prompt || \"\",\n        business_description: agent.business_description || \"\",\n        business_logic_model_name: agent.business_logic_model_name || \"\",\n        business_logic_model_id: agent.business_logic_model_id || 0,\n        sub_agent_id_list: agent.sub_agent_id_list || [],\n        group_ids: agent.group_ids || [],\n        ingroup_permission: agent.ingroup_permission || \"READ_ONLY\",\n      }\n    : { ...emptyEditableAgent };\n\nconst normalizeArray = (arr: number[]) =>\n  Array.from(new Set((arr ?? []).map((n) => Number(n)).filter((n) => !isNaN(n)))).sort(\n    (a, b) => a - b\n  );\n\n// Dirty check helpers for specific field groups\nconst isBusinessInfoDirty = (baselineAgent: EditableAgent | null, editedAgent: EditableAgent): boolean => {\n  if (!baselineAgent) {\n    return (\n      editedAgent.business_description !== \"\" ||\n      editedAgent.business_logic_model_name !== \"\" ||\n      editedAgent.business_logic_model_id !== 0\n    );\n  }\n  return (\n    baselineAgent.business_description !== editedAgent.business_description ||\n    baselineAgent.business_logic_model_name !== editedAgent.business_logic_model_name ||\n    baselineAgent.business_logic_model_id !== editedAgent.business_logic_model_id\n  );\n};\n\nconst isProfileInfoDirty = (baselineAgent: EditableAgent | null, editedAgent: EditableAgent): boolean => {\n  if (!baselineAgent) {\n    return (\n      editedAgent.name !== \"\" ||\n      editedAgent.display_name !== \"\" ||\n      editedAgent.description !== \"\" ||\n      editedAgent.author !== \"\" ||\n      editedAgent.model !== \"\" ||\n      editedAgent.model_id !== 0 ||\n      editedAgent.max_step !== 0 ||\n      editedAgent.provide_run_summary !== false ||\n      editedAgent.duty_prompt !== \"\" ||\n      editedAgent.constraint_prompt !== \"\" ||\n      editedAgent.few_shots_prompt !== \"\" ||\n      normalizeArray(editedAgent.group_ids || []).length > 0 ||\n      editedAgent.ingroup_permission !== \"READ_ONLY\"\n    );\n  }\n  return (\n    baselineAgent.name !== editedAgent.name ||\n    baselineAgent.display_name !== editedAgent.display_name ||\n    baselineAgent.description !== editedAgent.description ||\n    baselineAgent.author !== editedAgent.author ||\n    baselineAgent.model !== editedAgent.model ||\n    baselineAgent.model_id !== editedAgent.model_id ||\n    baselineAgent.max_step !== editedAgent.max_step ||\n    baselineAgent.provide_run_summary !== editedAgent.provide_run_summary ||\n    baselineAgent.duty_prompt !== editedAgent.duty_prompt ||\n    baselineAgent.constraint_prompt !== editedAgent.constraint_prompt ||\n    baselineAgent.few_shots_prompt !== editedAgent.few_shots_prompt ||\n    JSON.stringify(normalizeArray(baselineAgent.group_ids ?? [])) !==\n      JSON.stringify(normalizeArray(editedAgent.group_ids ?? [])) ||\n    baselineAgent.ingroup_permission !== editedAgent.ingroup_permission\n  );\n};\n\nconst isToolsDirty = (baselineAgent: EditableAgent | null, editedAgent: EditableAgent): boolean => {\n  if (!baselineAgent) {\n    return editedAgent.tools.length > 0;\n  }\n\n  // Compare tools by ID and their initParams to avoid false positives from object reference differences\n  const baselineTools = baselineAgent.tools;\n  const editedTools = editedAgent.tools;\n\n  // First check if the count is different\n  if (baselineTools.length !== editedTools.length) {\n    return true;\n  }\n\n  // Sort by ID and compare key properties to handle different orderings\n  const sortedBaseline = [...baselineTools].sort((a, b) => Number(a.id) - Number(b.id));\n  const sortedEdited = [...editedTools].sort((a, b) => Number(a.id) - Number(b.id));\n\n  for (let i = 0; i < sortedBaseline.length; i++) {\n    const baseTool = sortedBaseline[i];\n    const editTool = sortedEdited[i];\n\n    // Check if ID is different\n    if (Number(baseTool.id) !== Number(editTool.id)) {\n      return true;\n    }\n\n    // Compare initParams if they exist\n    const baseParams = baseTool.initParams || [];\n    const editParams = editTool.initParams || [];\n\n    if (baseParams.length !== editParams.length) {\n      return true;\n    }\n\n    // Compare each param's name and value\n    for (const baseParam of baseParams) {\n      const editParam = editParams.find(p => p.name === baseParam.name);\n      if (!editParam) {\n        return true;\n      }\n      \n      // Deep comparison for array and object values\n      const baseValue = baseParam.value;\n      const editValue = editParam.value;\n      \n      // If both are arrays, compare their contents\n      if (Array.isArray(baseValue) && Array.isArray(editValue)) {\n        if (baseValue.length !== editValue.length) {\n          return true;\n        }\n        // Sort and compare array elements\n        const sortedBase = [...baseValue].sort();\n        const sortedEdit = [...editValue].sort();\n        if (JSON.stringify(sortedBase) !== JSON.stringify(sortedEdit)) {\n          return true;\n        }\n      } \n      // If both are objects (but not arrays), compare their JSON representation\n      else if (\n        baseValue !== null && \n        editValue !== null && \n        typeof baseValue === 'object' && \n        typeof editValue === 'object'\n      ) {\n        if (JSON.stringify(baseValue) !== JSON.stringify(editValue)) {\n          return true;\n        }\n      }\n      // For primitive values, use strict equality\n      else if (baseValue !== editValue) {\n        return true;\n      }\n    }\n  }\n\n  return false;\n};\n\nconst isSubAgentIdsDirty = (baselineAgent: EditableAgent | null, editedAgent: EditableAgent): boolean => {\n  if (!baselineAgent) {\n    return normalizeArray(editedAgent.sub_agent_id_list || []).length > 0;\n  }\n  return JSON.stringify(normalizeArray(baselineAgent.sub_agent_id_list ?? [])) !==\n    JSON.stringify(normalizeArray(editedAgent.sub_agent_id_list ?? []));\n};\n\nexport const useAgentConfigStore = create<AgentConfigStoreState>((set, get) => ({\n  currentAgentId: null,\n  currentAgentPermission: null,\n  baselineAgent: null,\n  editedAgent: { ...emptyEditableAgent },\n  hasUnsavedChanges: false,\n  isCreatingMode: false,\n\n  setCurrentAgent: (agent) => {\n    const baselineAgent = agent ? toEditable(agent) : null;\n    const editedAgent = baselineAgent ? { ...baselineAgent } : { ...emptyEditableAgent };\n    set({\n      currentAgentId: agent ? parseInt(agent.id) : null,\n      currentAgentPermission: agent ? ((agent as any).permission ?? null) : null,\n      baselineAgent,\n      editedAgent,\n      hasUnsavedChanges: false,\n      isCreatingMode: false, // Exit create mode when selecting an agent\n    });\n  },\n\n  enterCreateMode: () => {\n    set({\n      currentAgentId: null,\n      currentAgentPermission: \"EDIT\",\n      baselineAgent: null,\n      editedAgent: { ...emptyEditableAgent },\n      hasUnsavedChanges: false,\n      isCreatingMode: true,\n    });\n  },\n\n  updateTools: (tools) => {\n    set((state) => {\n      const editedAgent = { ...state.editedAgent, tools: [...tools] };\n      // Always recalculate hasUnsavedChanges to correctly handle:\n      // 1. Selecting a tool -> hasUnsavedChanges = true\n      // 2. Deselecting it back to original -> hasUnsavedChanges = false\n      const hasUnsavedChanges = isToolsDirty(state.baselineAgent, editedAgent);\n      return {\n        editedAgent,\n        hasUnsavedChanges,\n      };\n    });\n  },\n\n  updateSubAgentIds: (ids) => {\n    const nextIds = normalizeArray(ids);\n    set((state) => {\n      const editedAgent = { ...state.editedAgent, sub_agent_id_list: nextIds };\n      // If there are already unsaved changes, keep it true and skip recalculation.\n      // Only when state is clean do we need to check whether sub-agent IDs changed.\n      const hasUnsavedChanges = isSubAgentIdsDirty(state.baselineAgent, editedAgent);\n      return {\n        editedAgent,\n        hasUnsavedChanges,\n      };\n    });\n  },\n\n  updateBusinessInfo: (payload) => {\n    set((state) => {\n      const editedAgent = { ...state.editedAgent, ...payload };\n      // If there are already unsaved changes, keep it true and skip recalculation.\n      // Only when state is clean do we need to check whether business info changed.\n      const hasUnsavedChanges = isBusinessInfoDirty(state.baselineAgent, editedAgent);\n      return {\n        editedAgent,\n        hasUnsavedChanges,\n      };\n    });\n  },\n\n  updateProfileInfo: (payload) => {\n    set((state) => {\n      const editedAgent = { ...state.editedAgent, ...payload };\n      // If there are already unsaved changes, keep it true and skip recalculation.\n      // Only when state is clean do we need to check whether profile info changed.\n      const hasUnsavedChanges = isProfileInfoDirty(state.baselineAgent, editedAgent);\n      return {\n        editedAgent,\n        hasUnsavedChanges,\n      };\n    });\n  },\n\n  markAsSaved: () => {\n    const { editedAgent } = get();\n    set({\n      baselineAgent: { ...editedAgent },\n      hasUnsavedChanges: false,\n    });\n  },\n\n  discardChanges: () => {\n    set((state) => {\n      const baselineAgent = state.baselineAgent;\n      const editedAgent = baselineAgent ? { ...baselineAgent } : { ...emptyEditableAgent };\n      return {\n        editedAgent,\n        hasUnsavedChanges: false,\n      };\n    });\n  },\n\n  reset: () => {\n    set({\n      currentAgentId: null,\n      currentAgentPermission: null,\n      baselineAgent: null,\n      editedAgent: { ...emptyEditableAgent },\n      hasUnsavedChanges: false,\n      isCreatingMode: false,\n    });\n  },\n\n  getCurrentAgent: () => {\n    return get().baselineAgent;\n  },\n}));\n\n"
  },
  {
    "path": "frontend/styles/globals.css",
    "content": "@tailwind base;\n@tailwind components;\n@tailwind utilities;\n\n@layer base {\n  :root {\n    --background: 0 0% 100%;\n    --foreground: 222.2 84% 4.9%;\n    --card: 0 0% 100%;\n    --card-foreground: 222.2 84% 4.9%;\n    --popover: 0 0% 100%;\n    --popover-foreground: 222.2 84% 4.9%;\n    --primary: 210 100% 50%;\n    --primary-foreground: 210 40% 98%;\n    --secondary: 210 40% 96.1%;\n    --secondary-foreground: 222.2 47.4% 11.2%;\n    --muted: 210 40% 96.1%;\n    --muted-foreground: 215.4 16.3% 46.9%;\n    --accent: 210 40% 96.1%;\n    --accent-foreground: 222.2 47.4% 11.2%;\n    --destructive: 0 84.2% 60.2%;\n    --destructive-foreground: 210 40% 98%;\n    --border: 214.3 31.8% 91.4%;\n    --input: 214.3 31.8% 91.4%;\n    --ring: 210 100% 50%;\n    --radius: 0.5rem;\n  }\n\n  .dark {\n    --background: 222.2 84% 4.9%;\n    --foreground: 210 40% 98%;\n    --card: 222.2 84% 4.9%;\n    --card-foreground: 210 40% 98%;\n    --popover: 222.2 84% 4.9%;\n    --popover-foreground: 210 40% 98%;\n    --primary: 210 100% 50%;\n    --primary-foreground: 222.2 47.4% 11.2%;\n    --secondary: 217.2 32.6% 17.5%;\n    --secondary-foreground: 210 40% 98%;\n    --muted: 217.2 32.6% 17.5%;\n    --muted-foreground: 215 20.2% 65.1%;\n    --accent: 217.2 32.6% 17.5%;\n    --accent-foreground: 210 40% 98%;\n    --destructive: 0 62.8% 30.6%;\n    --destructive-foreground: 210 40% 98%;\n    --border: 217.2 32.6% 17.5%;\n    --input: 217.2 32.6% 17.5%;\n    --ring: 210 100% 50%;\n  }\n}\n\n@layer base {\n  * {\n    @apply border-border;\n  }\n  body {\n    @apply bg-background text-foreground;\n  }\n}\n\n@layer utilities {\n  .bg-grid-slate-200 {\n    background-image: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 32 32' width='32' height='32' fill='none' stroke='rgb(226 232 240 / 0.8)'%3e%3cpath d='M0 .5H31.5V32'/%3e%3c/svg%3e\");\n  }\n\n  .bg-grid-slate-800 {\n    background-image: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 32 32' width='32' height='32' fill='none' stroke='rgb(30 41 59 / 0.8)'%3e%3cpath d='M0 .5H31.5V32'/%3e%3c/svg%3e\");\n  }\n}\n\n/* Ant Design Button Icon with Lucide icons */\n.ant-btn-icon {\n  display: inline-flex !important;\n  align-items: center !important;\n}\n\n.ant-collapse-header {\n  @apply bg-gray-50;\n}\n\n.ant-collapse-collapsible-disabled {\n  cursor: default !important;\n}\n\n.ant-collapse-content-box {\n  padding-top: 0 !important;\n  padding-bottom: 0 !important;\n  padding-right: 0 !important;\n}\n\n.ant-collapse-item-active > .ant-collapse-header {\n  @apply shadow-md;\n}\n.ant-collapse-item-disabled > .ant-collapse-header {\n  @apply cursor-default;\n}\n\n/* Remove border radius from first and last collapse panels */\n.tool-categories-collapse .ant-collapse-item:first-child .ant-collapse-header {\n  border-top-left-radius: 0 !important;\n  border-top-right-radius: 0 !important;\n}\n\n.tool-categories-collapse .ant-collapse-item:last-child .ant-collapse-header {\n  border-bottom-left-radius: 0 !important;\n  border-bottom-right-radius: 0 !important;\n}\n\n.tool-categories-collapse .ant-collapse-item:first-child .ant-collapse-content {\n  border-top-left-radius: 0 !important;\n  border-top-right-radius: 0 !important;\n}\n\n.tool-categories-collapse .ant-collapse-item:last-child .ant-collapse-content {\n  border-bottom-left-radius: 0 !important;\n  border-bottom-right-radius: 0 !important;\n}\n\n/* Ensure collapse panel headers have proper height */\n.tool-categories-collapse .ant-collapse-header {\n  min-height: 36px !important;\n  padding: 8px 16px !important;\n  display: flex !important;\n  align-items: center !important;\n}\n\n/* Styles for the List component inside MemoryManageModal */\n.memory-modal-list .ant-list-item {\n  display: flex;\n  align-items: flex-start;\n  margin-top: 2px;\n}\n\n.memory-modal-list .ant-list-item-action {\n  width: 5%;\n  margin-left: auto !important;\n  display: flex;\n  justify-content: right;\n}\n\n.memory-modal-panel {\n  background: #f9fafb;\n  border-radius: 4px;\n  border: 1px solid #f0f0f0;\n}\n\n/* Scrollbar styles */\n/* For Webkit browsers (Chrome, Safari, Edge, etc.) */\n::-webkit-scrollbar {\n  width: 16px;\n  background-color: transparent;\n}\n\n::-webkit-scrollbar-track {\n  background-color: transparent;\n}\n\n::-webkit-scrollbar-thumb {\n  background-color: rgba(0, 0, 0, 0.4);\n  border-radius: 5px;\n  border: 2px solid transparent;\n  background-clip: content-box;\n}\n\n/* For Firefox */\n* {\n  scrollbar-color: rgba(0, 0, 0, 0.4) transparent;\n}\n\n\n/* Tool Pool Tabs scroll fix */\n.tool-pool-tabs .ant-tabs-content-holder {\n  overflow: hidden;\n  height: 100%;\n}\n\n.tool-pool-tabs .ant-tabs-content {\n  height: 100%;\n}\n\n.tool-pool-tabs .ant-tabs-tabpane {\n  height: 100%;\n  overflow: hidden;\n}\n\n/* Ensure tool pool tabs content area can scroll */\n.tool-pool-tabs .ant-tabs-content-holder .ant-tabs-content .ant-tabs-tabpane > div {\n  height: 100%;\n  max-height: 100%;\n}\n\n/* Adjust tabs content area left and right padding - use stronger selector */\n.tool-pool-tabs.ant-tabs.ant-tabs-left > .ant-tabs-content-holder {\n  padding-left: 12px !important;\n  padding-right: 9px !important;\n  margin-left: 0 !important;\n}\n\n.tool-pool-tabs.ant-tabs.ant-tabs-left > .ant-tabs-content-holder > .ant-tabs-content {\n  padding-left: 0 !important;\n  margin-left: 0 !important;\n}\n\n.tool-pool-tabs.ant-tabs.ant-tabs-left .ant-tabs-tabpane {\n  padding-left: 0 !important;\n}\n\n/* Reduce tab inner and outer margins to make tabs more compact */\n.tool-pool-tabs .ant-tabs-tab {\n  padding: 12px 6px !important;\n  margin: 4px 2px !important;\n  min-height: auto !important;\n  width: auto !important;\n  max-width: 100px !important;\n}\n\n.tool-pool-tabs .ant-tabs-nav-list {\n  padding: 4px 0 !important;\n  width: auto !important;\n}\n\n.tool-pool-tabs .ant-tabs-tab-btn {\n  padding: 0 !important;\n  line-height: 1.2 !important;\n}\n\n/* Document chunks tabs layout */\n.document-chunk-tabs {\n  height: 100%;\n}\n\n.document-chunk-tabs .ant-tabs {\n  height: 100%;\n}\n\n.document-chunk-tabs .ant-tabs-content-holder,\n.document-chunk-tabs .ant-tabs-content,\n.document-chunk-tabs .ant-tabs-tabpane {\n  height: 100%;\n}\n\n.document-chunk-tabs.ant-tabs-left > .ant-tabs-nav {\n  flex: 0 0 32%;\n  max-width: 32%;\n}\n\n.document-chunk-tabs.ant-tabs-left > .ant-tabs-content-holder {\n  flex: 1 1 68%;\n  max-width: 68%;\n}\n\n.document-chunk-tabs .ant-tabs-nav {\n  height: 100%;\n}\n\n.document-chunk-tabs .ant-tabs-nav-list {\n  height: 100%;\n  overflow-y: auto;\n}\n\n/* Active tab highlight style for document chunks */\n.document-chunk-tabs .ant-tabs-tab.ant-tabs-tab-active {\n  background-color: rgb(226, 240, 253) !important;\n}\n\n.document-chunk-tabs .ant-tabs-tab.ant-tabs-tab-active::before {\n  content: '';\n  position: absolute;\n  left: 0;\n  top: 0;\n  bottom: 0;\n  width: 4px;\n  background-color: #3b82f6;\n  /* border-radius: 0 2px 2px 0; */\n}\n\n.document-chunk-tabs .ant-tabs-tab.ant-tabs-tab-active::after {\n  content: none;\n}\n\n.document-chunk-tabs .ant-tabs-ink-bar {\n  display: none !important;\n}\n\n.document-chunk-tabs .ant-tabs-tab {\n  position: relative;\n  margin: 4px 1px !important;\n  padding: 8px 12px !important;\n}\n\n.document-chunk-tabs .ant-tabs-tab:hover {\n  background-color: rgb(241, 245, 249);\n}\n\n.chunk-count-badge .ant-badge-count {\n  box-shadow: none;\n  border: none;\n}\n\n/* Styles for Embedding warning modal */\n.kb-embedding-warning .ant-modal-wrap {\n  position: absolute;\n  inset: 0;\n}\n\n.kb-embedding-warning .ant-modal {\n  width: max-content;\n  min-width: 0;\n}\n\n.button-text-full {\n  display: inline !important;\n  overflow: hidden;\n  text-overflow: ellipsis;\n  white-space: nowrap;\n  max-width: 100%;\n}\n\n/* Selected table row: draw full-height left stripe inside first cell */\ntr.selected-row > td:first-child {\n  position: relative;\n  z-index: 0;\n}\ntr.selected-row > td:first-child::before {\n  content: \"\";\n  position: absolute;\n  left: 0;\n  top: 0;\n  bottom: 0;\n  width: 4px;\n  background-color: #3b82f6; /* tailwind border-blue-500 */\n  z-index: 5;\n  pointer-events: none;\n  border-radius: 0 4px 4px 0;\n}\n\n/* Override antd Tooltip inner border to prevent double borders */\n.ant-tooltip .ant-tooltip-inner {\n  border: none !important;\n}"
  },
  {
    "path": "frontend/styles/react-markdown.css",
    "content": "/* Markdown styles for ReactMarkdown */\n\n/* Nord Color Variables */\n:root {\n  --color-nord0: #2e3440;\n  --color-nord1: #3b4252;\n  --color-nord2: #434c5e;\n  --color-nord3: #4c566a;\n  --color-nord4: #d8dee9;\n  --color-nord5: #e5e9f0;\n  --color-nord6: #eceff4;\n  --color-nord7: #8fbcbb;\n  --color-nord8: #88c0d0;\n  --color-nord9: #81a1c1;\n  --color-nord10: #5e81ac;\n  --color-nord11: #bf616a;\n  --color-nord12: #d08770;\n  --color-nord13: #ebcb8b;\n  --color-nord14: #a3be8c;\n  --color-nord15: #b48ead;\n\n  /* Tailwind-like Nord color names */\n  --color-nord-0: #2e3440;\n  --color-nord-1: #3b4252;\n  --color-nord-2: #434c5e;\n  --color-nord-3: #4c566a;\n  --color-nord-4: #d8dee9;\n  --color-nord-5: #e5e9f0;\n  --color-nord-6: #eceff4;\n  --color-nord-7: #8fbcbb;\n  --color-nord-8: #88c0d0;\n  --color-nord-9: #81a1c1;\n  --color-nord-10: #5e81ac;\n  --color-nord-11: #bf616a;\n  --color-nord-12: #d08770;\n  --color-nord-13: #ebcb8b;\n  --color-nord-14: #a3be8c;\n  --color-nord-15: #b48ead;\n}\n\n/* Heading Styles */\n.markdown-h1 {\n  font-size: 1.875rem;\n  font-weight: 700;\n  line-height: 1.25;\n  margin-top: 1.5rem;\n  margin-bottom: 0.5rem;\n  color: var(--color-nord0);\n}\n\n.markdown-h2 {\n  font-size: 1.5rem;\n  font-weight: 600;\n  line-height: 1.3;\n  margin-top: 1.25rem;\n  margin-bottom: 0.5rem;\n  color: var(--color-nord0);\n}\n\n.markdown-h3 {\n  font-size: 1.25rem;\n  font-weight: 500;\n  line-height: 1.4;\n  margin-top: 1rem;\n  margin-bottom: 0.5rem;\n  color: var(--color-nord0);\n}\n\n.markdown-h4 {\n  font-size: 1.125rem;\n  font-weight: 500;\n  line-height: 1.4;\n  margin-top: 0.75rem;\n  margin-bottom: 0.5rem;\n  color: var(--color-nord0);\n}\n\n.markdown-h5 {\n  font-size: 1rem;\n  font-weight: 500;\n  line-height: 1.5;\n  margin-top: 0.5rem;\n  margin-bottom: 0.25rem;\n  color: var(--color-nord0);\n}\n\n.markdown-h6 {\n  font-size: 0.875rem;\n  font-weight: 500;\n  line-height: 1.5;\n  margin-top: 0.5rem;\n  margin-bottom: 0.25rem;\n  color: var(--color-nord0);\n}\n\n/* Paragraph Styles */\n.markdown-paragraph {\n  font-size: 1rem;\n  line-height: 1.625;\n  margin: 0.5rem 0;\n  color: var(--color-nord0);\n}\n\n/* Horizontal Rule Styles */\n.markdown-hr {\n  border: none;\n  height: 2px;\n  background-color: #e5e7eb;\n  margin: 1.5rem 0;\n  border-radius: 1px;\n}\n\n/* List Styles */\n.markdown-ol {\n  margin: 0.5rem 0;\n  padding-left: 1.5rem;\n  list-style-type: decimal;\n  list-style-position: outside;\n}\n\n.markdown-ul {\n  margin: 0.5rem 0;\n  padding-left: 1.5rem;\n  list-style-type: disc;\n  list-style-position: outside;\n}\n\n/* List Item Styles */\n.markdown-li {\n  margin-bottom: 0.25rem;\n  color: var(--color-nord0);\n}\n\n/* Remove first br from paragraphs inside list items */\n.markdown-li > br:first-child {\n  display: none;\n}\n\n.markdown-li > br:first-child {\n  display: none;\n}\n\n/* Remove extra spacing from paragraphs inside list items */\n.markdown-ol li > p,\n.markdown-ul li > p,\n.markdown-li > p {\n  display: inline;\n  margin-top: 0 !important;\n  margin-bottom: 0 !important;\n}\n\n/* Preserve spacing only between multiple paragraphs within same list item */\n.markdown-ol li > p + p,\n.markdown-ul li > p + p,\n.markdown-li > p + p {\n  margin-top: 0.5rem !important;\n}\n\n/* Blockquote Styles */\n.markdown-blockquote {\n  border-left: 4px solid #d1d5db;\n  padding-left: 1rem;\n  padding-top: 0.5rem;\n  padding-bottom: 0.5rem;\n  margin: 1rem 0;\n  background-color: #f9fafb;\n  font-style: italic;\n  font-size: 1rem;\n  line-height: 1.6;\n  color: var(--color-nord1);\n}\n\n/* Table Cell Styles */\n.markdown-td {\n  padding: 0.75rem 1rem;\n  border: 1px solid #e5e7eb;\n  color: var(--color-nord0);\n}\n\n.markdown-th {\n  padding: 0.75rem 1rem;\n  border: 1px solid #e5e7eb;\n  font-weight: 600;\n  background-color: #f9fafb;\n  color: var(--color-nord0);\n}\n\n/* Markdown table reset to prevent external zebra striping */\n.markdown-body table {\n  border-collapse: collapse;\n}\n\n.markdown-body table tr,\n.markdown-body table tr:nth-child(odd),\n.markdown-body table tr:nth-child(even) {\n  background-color: transparent !important;\n}\n\n.markdown-body table td,\n.markdown-body table th {\n  background-color: transparent !important;\n}\n\n/* Emphasis Styles */\n.markdown-strong {\n  font-weight: 600;\n  color: var(--color-nord0);\n}\n\n.markdown-em {\n  font-style: italic;\n  color: var(--color-nord0);\n}\n\n.markdown-del {\n  text-decoration: line-through;\n  color: var(--color-nord3);\n}\n\n/* Link Styles */\n.markdown-link {\n  color: var(--color-nord10);\n  text-decoration: underline;\n  transition: color 0.2s ease;\n}\n\n.markdown-link:hover {\n  color: var(--color-nord9);\n}\n\n/* Inline Code Styles */\n.markdown-code {\n  background-color: var(--color-nord6);\n  color: var(--color-nord10);\n  padding: 0.125rem 0.25rem;\n  border-radius: 0.25rem;\n  font-family: \"SFMono-Regular\", Consolas, \"Liberation Mono\", Menlo, monospace;\n  font-size: 0.875em;\n  font-weight: normal;\n}\n\n/* Image Styles */\n.markdown-img {\n  max-width: 100%;\n  height: auto;\n  border-radius: 0.5rem;\n  box-shadow: 0 4px 6px -1px rgba(0, 0, 0, 0.1);\n  margin: 1rem 0;\n  display: block;\n}\n\n.markdown-video-wrapper {\n  margin: 1rem 0;\n  display: flex;\n  flex-direction: column;\n  gap: 0.5rem;\n  width: 100%;\n  align-items: stretch;\n}\n\n.markdown-video {\n  width: 100%;\n  max-height: 70vh;\n  border-radius: 0.75rem;\n  background-color: #000;\n  box-shadow: 0 6px 12px -3px rgba(0, 0, 0, 0.2);\n}\n\n.markdown-video:focus {\n  outline: 2px solid var(--color-nord10);\n  outline-offset: 2px;\n}\n\n.markdown-video-caption {\n  font-size: 0.875rem;\n  color: var(--color-nord2);\n  line-height: 1.4;\n}\n\n/* Media Error Styles */\n.markdown-media-error {\n  margin: 0.5rem 0;\n  padding: 0.5rem 0.75rem;\n  border: 1px solid #e5e7eb;\n  border-radius: 0.5rem;\n  background-color: #f9fafb;\n  display: flex;\n  flex-direction: column;\n  gap: 0.25rem;\n  align-items: center;\n  justify-content: center;\n  min-height: 60px;\n  max-width: 800px;\n  width: fit-content;\n  margin-left: auto;\n  margin-right: auto;\n}\n\n.markdown-media-error-message {\n  font-size: 0.875rem;\n  color: #6b7280;\n  text-align: center;\n  font-weight: 500;\n}\n\n.markdown-media-error-caption {\n  font-size: 0.75rem;\n  color: #9ca3af;\n  text-align: center;\n  font-style: italic;\n}\n\n/* Global markdown container */\n.task-message-content {\n  color: hsl(var(--foreground)) !important;\n}\n\n.markdown-body {\n  background: transparent !important;\n  min-height: 1em;\n  padding-top: 0.5em;\n  padding-bottom: 0.5em;\n  color: hsl(var(--foreground)) !important;\n}\n\n/* KaTeX adjustments */\n.markdown-body .katex * {\n  font-family: KaTeX_Main, \"Times New Roman\", serif !important;\n}\n\n.markdown-body .katex {\n  font-size: 1.1em;\n  display: inline;\n  white-space: nowrap;\n  vertical-align: baseline;\n  font-family: KaTeX_Main, \"Times New Roman\", serif !important;\n}\n\n.markdown-body .katex-display {\n  margin: 1.2em 0;\n  text-align: center;\n  display: block;\n  white-space: normal;\n}\n\n.markdown-body .katex .katex-html {\n  white-space: nowrap;\n  display: inline;\n}\n\n.markdown-body .katex .base {\n  display: inline;\n  white-space: nowrap;\n}\n\n.markdown-body p .katex,\n.markdown-body li .katex,\n.markdown-body td .katex,\n.markdown-body th .katex {\n  display: inline;\n  white-space: nowrap;\n  vertical-align: baseline;\n}\n\n.markdown-body .katex .mord,\n.markdown-body .katex .mop,\n.markdown-body .katex .mbin,\n.markdown-body .katex .mrel,\n.markdown-body .katex .mopen,\n.markdown-body .katex .mclose,\n.markdown-body .katex .mpunct {\n  white-space: nowrap;\n}\n\n/* Scrollbar helpers */\n.tooltip-content-scroll {\n  scrollbar-width: thin;\n  scrollbar-color: rgb(209 213 219) transparent;\n}\n\n.tooltip-content-scroll::-webkit-scrollbar {\n  width: 6px;\n}\n\n/* List spacing and reset */\n.markdown-body ul,\n.markdown-body ol {\n  margin-left: revert !important;\n  padding-left: revert !important;\n}\n\n/* Force solid bullets and standard numbers */\n.markdown-body ul {\n  list-style-type: disc !important;\n  list-style-position: outside !important;\n}\n\n.markdown-body ul ul {\n  list-style-type: circle !important;\n}\n\n.markdown-body ol {\n  list-style-type: decimal !important;\n  list-style-position: outside !important;\n}\n\n.markdown-body li {\n  display: list-item !important;\n}\n\n.markdown-body p {\n  margin-bottom: 0.5rem !important;\n  margin-top: 0.25rem !important;\n}\n\n.user-paragraph {\n  margin-bottom: 0.25rem !important;\n  margin-top: 0.25rem !important;\n}\n\n/* Code block container styles */\n.code-block-container {\n  position: relative;\n  display: block;\n  border-radius: 6px;\n  margin: 16px 0;\n  width: 100%;\n  overflow: hidden;\n  box-shadow: 0 2px 4px rgba(0, 0, 0, 0.08);\n  border: 1px solid #e0e0e0;\n}\n\n.code-block-container > div {\n  margin: 0 !important;\n}\n\n.code-block-container pre {\n  margin: 0 !important;\n}\n\n.code-block-header {\n  display: flex;\n  justify-content: space-between;\n  align-items: center;\n  padding: 6px 12px;\n  background: #eeeeee;\n  border-bottom: 1px solid #ddd;\n  font-size: 13px;\n  font-family: ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas,\n    \"Liberation Mono\", \"Courier New\", monospace;\n  min-height: 36px;\n  box-sizing: border-box;\n}\n\n.code-language-label {\n  color: #666;\n  font-weight: 500;\n  text-transform: lowercase;\n  display: flex;\n  align-items: center;\n  font-size: 12px;\n  letter-spacing: 0.5px;\n  margin-left: 0;\n}\n\n.code-language-label::before {\n  display: none;\n}\n\n.code-language-label[data-language=\"python\"]::before,\n.code-language-label[data-language=\"javascript\"]::before,\n.code-language-label[data-language=\"js\"]::before,\n.code-language-label[data-language=\"typescript\"]::before,\n.code-language-label[data-language=\"ts\"]::before,\n.code-language-label[data-language=\"html\"]::before,\n.code-language-label[data-language=\"css\"]::before {\n  display: none;\n}\n\n.code-block-content {\n  position: relative;\n  background: #f8f8f8;\n  padding: 0;\n}\n\n.code-block-header .copy-button,\n.code-block-header .header-copy-button {\n  padding: 2px;\n  height: 24px;\n  width: 24px;\n  display: inline-flex;\n  align-items: center;\n  justify-content: center;\n  opacity: 0.6;\n  background: transparent;\n  border: none;\n  border-radius: 4px;\n  transition: all 0.2s ease;\n  font-size: 12px;\n  cursor: pointer;\n  position: static;\n  margin: 0;\n  float: right;\n  margin-right: 0;\n}\n\n.code-block-header .copy-button:hover,\n.code-block-header .header-copy-button:hover {\n  opacity: 1;\n  background: rgba(0, 0, 0, 0.05);\n  border-color: transparent;\n}\n\n.token.punctuation,\n.token.operator {\n  opacity: 0.7;\n}\n\n.token.comment {\n  font-style: italic;\n  color: #6a9955;\n}\n\n.token.string {\n  color: #a31515;\n}\n\n.code-block-content pre::-webkit-scrollbar {\n  height: 6px;\n  width: 6px;\n}\n\n.code-block-content pre::-webkit-scrollbar-thumb {\n  background: #ccc;\n  border-radius: 3px;\n}\n\n.code-block-content pre::-webkit-scrollbar-thumb:hover {\n  background: #aaa;\n}\n\n/* Mermaid Diagram Styles */\n.mermaid-container {\n  border: 1px solid #e5e7eb;\n  border-radius: 0.5rem;\n  overflow: hidden;\n  background-color: #ffffff;\n  box-shadow: 0 1px 3px 0 rgba(0, 0, 0, 0.1), 0 1px 2px 0 rgba(0, 0, 0, 0.06);\n  margin: 1rem 0;\n  transition: box-shadow 0.2s ease;\n}\n\n.mermaid-container:hover {\n  box-shadow: 0 4px 6px -1px rgba(0, 0, 0, 0.1), 0 2px 4px -1px rgba(0, 0, 0, 0.06);\n}\n\n.mermaid-header {\n  display: flex;\n  align-items: center;\n  justify-content: space-between;\n  padding: 0.5rem 1rem;\n  background: linear-gradient(to right, #f9fafb, #f3f4f6);\n  border-bottom: 1px solid #e5e7eb;\n}\n\n.mermaid-label {\n  font-size: 0.875rem;\n  font-weight: 500;\n  color: #374151;\n}\n\n.mermaid-copy-button {\n  transition: background-color 0.2s;\n  border-radius: 0.375rem;\n  padding: 0.25rem;\n}\n\n.mermaid-copy-button:hover {\n  background-color: #e5e7eb;\n}\n\n.mermaid-content {\n  position: relative;\n}\n\n.mermaid-diagram {\n  display: flex;\n  justify-content: center;\n  align-items: center;\n  padding: 1rem;\n  min-height: 120px;\n  overflow: visible; /* allow container to grow with content */\n  background: linear-gradient(135deg, #ffffff 0%, #f8fafc 100%);\n}\n\n.mermaid-diagram svg {\n  width: 100%;\n  max-width: 100%;\n  height: auto;\n  display: block; /* ensure responsive SVG sizing */\n  filter: drop-shadow(0 2px 4px rgba(0, 0, 0, 0.05));\n}\n.mermaid-inline {\n  display: inline-block;\n  vertical-align: middle;\n  line-height: 1;\n}\n\n.mermaid-inline-svg svg {\n  height: 1.25em;\n  width: auto;\n  display: inline-block;\n  vertical-align: middle;\n}\n\n/* Generic Diagram helpers for new Diagram component */\n.diagram-block {\n  display: block;\n  width: 100%;\n}\n\n.diagram-inline {\n  display: inline-block;\n  vertical-align: baseline;\n  line-height: 1;\n}\n\n.mermaid-code-display {\n  padding: 1rem;\n  background-color: #f9fafb;\n  font-size: 0.875rem;\n  font-family: ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, \"Liberation Mono\", \"Courier New\", monospace;\n  overflow-x: auto;\n  white-space: pre-wrap;\n}\n\n.mermaid-loading {\n  display: flex;\n  flex-direction: column;\n  align-items: center;\n  justify-content: center;\n  padding: 2rem;\n  color: #6b7280;\n}\n\n.mermaid-error-container {\n  border: 1px solid #fecaca;\n  border-radius: 0.5rem;\n  overflow: hidden;\n  background-color: #fef2f2;\n  margin: 1rem 0;\n}\n\n.mermaid-error-header {\n  display: flex;\n  align-items: center;\n  justify-content: space-between;\n  padding: 0.5rem 1rem;\n  background-color: #fee2e2;\n  border-bottom: 1px solid #fecaca;\n}\n\n.mermaid-error-label {\n  font-size: 0.875rem;\n  font-weight: 500;\n  color: #b91c1c;\n}\n\n.mermaid-error-content {\n  padding: 1rem;\n}\n\n.mermaid-error-message {\n  color: #dc2626;\n}\n\n/* Gantt chart optimization styles */\n.mermaid svg {\n  /* Ensure Gantt chart has enough space */\n  min-width: 100%;\n  overflow: visible;\n}\n\n/* Gantt chart timeline label optimization */\n.mermaid svg .axis text {\n  font-size: 11px !important;\n  font-weight: 500 !important;\n  fill: #6b7280 !important;\n  text-anchor: middle !important;\n  dominant-baseline: hanging !important;\n}\n\n/* Gantt chart grid line optimization */\n.mermaid svg .grid .tick line {\n  stroke: #e5e7eb !important;\n  stroke-width: 1px !important;\n}\n\n/* Gantt chart task bar optimization */\n.mermaid svg .task text {\n  font-size: 12px !important;\n  font-weight: 500 !important;\n  fill: #374151 !important;\n}\n\n/* Gantt chart section title optimization */\n.mermaid svg .section text {\n  font-size: 14px !important;\n  font-weight: 600 !important;\n  fill: #374151 !important;\n}\n\n/* Ensure Gantt chart container has sufficient padding */\n.mermaid {\n  padding: 20px !important;\n  margin: 10px 0 !important;\n}"
  },
  {
    "path": "frontend/tailwind.config.ts",
    "content": "import type { Config } from \"tailwindcss\"\n\nconst config = {\n  darkMode: [\"class\"],\n  content: [\n    \"./pages/**/*.{ts,tsx}\",\n    \"./components/**/*.{ts,tsx}\",\n    \"./app/**/*.{ts,tsx}\",\n    \"./src/**/*.{ts,tsx}\",\n    \"*.{js,ts,jsx,tsx,mdx}\",\n  ],\n  prefix: \"\",\n  theme: {\n    container: {\n      center: true,\n      padding: \"2rem\",\n      screens: {\n        \"2xl\": \"1400px\",\n      },\n    },\n    extend: {\n      colors: {\n        border: \"hsl(var(--border))\",\n        input: \"hsl(var(--input))\",\n        ring: \"hsl(var(--ring))\",\n        background: \"hsl(var(--background))\",\n        foreground: \"hsl(var(--foreground))\",\n        primary: {\n          DEFAULT: \"hsl(var(--primary))\",\n          foreground: \"hsl(var(--primary-foreground))\",\n        },\n        secondary: {\n          DEFAULT: \"hsl(var(--secondary))\",\n          foreground: \"hsl(var(--secondary-foreground))\",\n        },\n        destructive: {\n          DEFAULT: \"hsl(var(--destructive))\",\n          foreground: \"hsl(var(--destructive-foreground))\",\n        },\n        muted: {\n          DEFAULT: \"hsl(var(--muted))\",\n          foreground: \"hsl(var(--muted-foreground))\",\n        },\n        accent: {\n          DEFAULT: \"hsl(var(--accent))\",\n          foreground: \"hsl(var(--accent-foreground))\",\n        },\n        popover: {\n          DEFAULT: \"hsl(var(--popover))\",\n          foreground: \"hsl(var(--popover-foreground))\",\n        },\n        card: {\n          DEFAULT: \"hsl(var(--card))\",\n          foreground: \"hsl(var(--card-foreground))\",\n        },\n      },\n      borderRadius: {\n        lg: \"var(--radius)\",\n        md: \"calc(var(--radius) - 2px)\",\n        sm: \"calc(var(--radius) - 4px)\",\n      },\n      keyframes: {\n        \"accordion-down\": {\n          from: { height: \"0\" },\n          to: { height: \"var(--radix-accordion-content-height)\" },\n        },\n        \"accordion-up\": {\n          from: { height: \"var(--radix-accordion-content-height)\" },\n          to: { height: \"0\" },\n        },\n      },\n      animation: {\n        \"accordion-down\": \"accordion-down 0.2s ease-out\",\n        \"accordion-up\": \"accordion-up 0.2s ease-out\",\n      },\n    },\n  },\n  plugins: [\n    require(\"tailwindcss-animate\"),\n  ],\n} satisfies Config\n\nexport default config\n\n"
  },
  {
    "path": "frontend/tsconfig.json",
    "content": "{\n  \"compilerOptions\": {\n    \"lib\": [\"dom\", \"dom.iterable\", \"esnext\"],\n    \"allowJs\": true,\n    \"target\": \"ES6\",\n    \"skipLibCheck\": true,\n    \"strict\": true,\n    \"noEmit\": true,\n    \"esModuleInterop\": true,\n    \"module\": \"esnext\",\n    \"moduleResolution\": \"node\",\n    \"resolveJsonModule\": true,\n    \"isolatedModules\": true,\n    \"jsx\": \"preserve\",\n    \"incremental\": true,\n    \"plugins\": [\n      {\n        \"name\": \"next\"\n      }\n    ],\n    \"paths\": {\n      \"@/*\": [\"./*\"],\n      \"@/app/*\": [\"./app/[locale]/*\"]\n    }\n  },\n  \"include\": [\"next-env.d.ts\", \"**/*.ts\", \"**/*.tsx\", \".next/types/**/*.ts\"],\n  \"exclude\": [\"node_modules\"]\n}\n"
  },
  {
    "path": "frontend/types/agentConfig.ts",
    "content": "// Agent Configuration Types\nimport type { Dispatch, SetStateAction } from \"react\";\n\nimport { ChatMessageType } from \"./chat\";\nimport { ModelOption } from \"@/types/modelConfig\";\nimport { GENERATE_PROMPT_STREAM_TYPES } from \"../const/agentConfig\";\n\nexport type AgentBusinessInfo = Partial<Pick<\n  Agent,\n  \"business_description\" | \"business_logic_model_id\" | \"business_logic_model_name\"\n>>;\n\nexport type AgentProfileInfo = Partial<\n  Pick<\n    Agent,\n    | \"name\"\n    | \"display_name\"\n    | \"author\"\n    | \"model\"\n    | \"model_id\"\n    | \"max_step\"\n    | \"description\"\n    | \"duty_prompt\"\n    | \"constraint_prompt\"\n    | \"few_shots_prompt\"\n    | \"group_ids\"\n    | \"ingroup_permission\"\n  >\n>;\n\n// ========== Core Interfaces ==========\n\nexport interface Agent {\n  id: string;\n  name: string;\n  display_name?: string;\n  description: string;\n  author?: string;\n  unavailable_reasons?: string[];\n  model: string;\n  model_id?: number;\n  max_step: number;\n  provide_run_summary: boolean;\n  tools: Tool[];\n  duty_prompt?: string;\n  constraint_prompt?: string;\n  few_shots_prompt?: string;\n  business_description?: string;\n  business_logic_model_name?: string;\n  business_logic_model_id?: number;\n  is_available?: boolean;\n  is_new?: boolean;\n  sub_agent_id_list?: number[];\n  group_ids?: number[];\n  ingroup_permission?: \"EDIT\" | \"READ_ONLY\" | \"PRIVATE\";\n  /**\n   * Per-agent permission returned by /agent/list.\n   * EDIT: editable, READ_ONLY: read-only.\n   */\n  permission?: \"EDIT\" | \"READ_ONLY\";\n  current_version_no?: number;\n}\n\nexport interface Tool {\n  id: string;\n  name: string;\n  origin_name?: string;\n  description: string;\n  source: \"local\" | \"mcp\" | \"langchain\";\n  initParams: ToolParam[];\n  is_available?: boolean;\n  create_time?: string;\n  usage?: string;\n  inputs?: string;\n  category?: string;\n}\n\nexport interface ToolParam {\n  name: string;\n  type: \"string\" | \"number\" | \"boolean\" | \"array\" | \"object\" | \"Optional\";\n  required: boolean;\n  value?: any;\n  description?: string;\n}\n\n\n\n// ========== Data Interfaces ==========\n\nexport interface AgentConfigDataResponse {\n  businessLogic: string;\n  systemPrompt: string;\n}\n\n// Tool group interface\nexport interface ToolGroup {\n  key: string;\n  label: string;\n  tools: Tool[];\n  subGroups?: ToolSubGroup[];\n}\n\n// Tool sub-group interface for secondary grouping\nexport interface ToolSubGroup {\n  key: string;\n  label: string;\n  tools: Tool[];\n}\n\n// Tree structure node type\nexport interface TreeNodeDatum {\n  name: string;\n  type?: string;\n  color?: string;\n  count?: string;\n  children?: TreeNodeDatum[];\n  depth?: number;\n  attributes?: { toolType?: string };\n}\n\n// ========== Component Props Interfaces ==========\n\n// Main component props interface for AgentSetupOrchestrator\nexport interface AgentSetupOrchestratorProps {\n  businessLogic: string;\n  setBusinessLogic: (value: string) => void;\n  businessLogicError?: boolean;\n  selectedTools: Tool[];\n  setSelectedTools: Dispatch<SetStateAction<Tool[]>>;\n  isCreatingNewAgent: boolean;\n  setIsCreatingNewAgent: (value: boolean) => void;\n  mainAgentModel: string | null;\n  setMainAgentModel: (value: string | null) => void;\n  mainAgentModelId: number | null;\n  setMainAgentModelId: (value: number | null) => void;\n  mainAgentMaxStep: number;\n  setMainAgentMaxStep: (value: number) => void;\n  businessLogicModel: string | null;\n  setBusinessLogicModel: (value: string | null) => void;\n  businessLogicModelId: number | null;\n  setBusinessLogicModelId: (value: number | null) => void;\n  tools: Tool[];\n  subAgentList?: Agent[];\n  loadingAgents?: boolean;\n  mainAgentId: string | null;\n  setMainAgentId: (value: string | null) => void;\n  setSubAgentList: (agents: Agent[]) => void;\n  enabledAgentIds: number[];\n  setEnabledAgentIds: (ids: number[]) => void;\n  onEditingStateChange?: (isEditing: boolean, agent: any) => void;\n  onToolsRefresh: (showSuccessMessage?: boolean) => void | Promise<any>;\n  dutyContent: string;\n  setDutyContent: (value: string) => void;\n  constraintContent: string;\n  setConstraintContent: (value: string) => void;\n  fewShotsContent: string;\n  setFewShotsContent: (value: string) => void;\n  agentName?: string;\n  setAgentName?: (value: string) => void;\n  agentDescription?: string;\n  setAgentDescription?: (value: string) => void;\n  agentDisplayName?: string;\n  setAgentDisplayName?: (value: string) => void;\n  agentAuthor?: string;\n  setAgentAuthor?: (value: string) => void;\n  isGeneratingAgent?: boolean;\n  onDebug?: () => void;\n  getCurrentAgentId?: () => number | undefined;\n  onGenerateAgent?: (selectedModel?: ModelOption) => void;\n  onExportAgent?: () => void;\n  onDeleteAgent?: () => void;\n  editingAgent?: any;\n  onExitCreation?: () => void;\n  isEmbeddingConfigured?: boolean;\n  /** notify parent about unsaved state changes */\n  onUnsavedChange?: (dirty: boolean) => void;\n  /** register a save-all handler for parent to invoke */\n  registerSaveHandler?: (handler: () => Promise<void>) => void;\n  /** register a reload handler for parent to invoke */\n  registerReloadHandler?: (handler: () => Promise<void>) => void;\n}\n\n// SubAgentPool component props interface\nexport interface SubAgentPoolProps {\n  onEditAgent: (agent: Agent) => void;\n  onCreateNewAgent: () => void;\n  onImportAgent: () => void;\n  onExitEditMode?: () => void;\n  subAgentList?: Agent[];\n  loadingAgents?: boolean;\n  isImporting?: boolean;\n  isGeneratingAgent?: boolean;\n  editingAgent?: Agent | null;\n  isCreatingNewAgent?: boolean;\n  onCopyAgent?: (agent: Agent) => void;\n  onExportAgent?: (agent: Agent) => void;\n  onDeleteAgent?: (agent: Agent) => void;\n}\n\n// ToolPool component props interface\nexport interface ToolPoolProps {\n  selectedTools: Tool[];\n  onSelectTool: (tool: Tool, isSelected: boolean) => void;\n  onToolConfigSave?: (tool: Tool) => void;\n  tools?: Tool[];\n  loadingTools?: boolean;\n  mainAgentId?: string | null;\n  localIsGenerating?: boolean;\n  onToolsRefresh?: (showSuccessMessage?: boolean) => void | Promise<any>;\n  isEditingMode?: boolean;\n  isGeneratingAgent?: boolean;\n  isEmbeddingConfigured?: boolean;\n  agentUnavailableReasons?: string[];\n  toolConfigDrafts?: Record<string, ToolParam[]>;\n}\n\n// Simple prompt editor props interface\nexport interface SimplePromptEditorProps {\n  value: string;\n  onChange: (value: string) => void;\n  height?: string | number;\n  bordered?: boolean;\n}\n\n// CollaborativeAgentDisplay component props interface\nexport interface CollaborativeAgentDisplayProps {\n  availableAgents: Agent[];\n  selectedAgentIds: number[];\n  parentAgentId?: number;\n  onAgentIdsChange: (newAgentIds: number[]) => void;\n  isEditingMode: boolean;\n  isGeneratingAgent: boolean;\n  className?: string;\n  style?: React.CSSProperties;\n}\n\n// ToolConfigModal component props interface\n\n\n// ExpandEditModal component props interface\nexport interface ExpandEditModalProps {\n  open: boolean;\n  title: string;\n  content: string;\n  index: number;\n  onClose: () => void;\n  onSave: (content: string) => void;\n}\n\n// AgentDebugging component props interface\nexport interface AgentDebuggingProps {\n  onAskQuestion: (question: string) => void;\n  onStop: () => void;\n  isStreaming: boolean;\n  messages: ChatMessageType[];\n}\n\n// DebugConfig component props interface\nexport interface DebugConfigProps {\n  agentId?: number; // Make agentId an optional prop\n}\n\n// McpConfigModal component props interface\nexport interface McpConfigModalProps {\n  visible: boolean;\n  onCancel: () => void;\n}\n\n// ========== Agent Call Relationship Interfaces ==========\n\n// Agent call relationship related types\nexport interface AgentCallRelationshipTool {\n  tool_id: string;\n  name: string;\n  type: string;\n}\n\nexport interface AgentCallRelationshipSubAgent {\n  agent_id: string;\n  name: string;\n  tools: AgentCallRelationshipTool[];\n  sub_agents: AgentCallRelationshipSubAgent[];\n  depth?: number;\n}\n\nexport interface AgentCallRelationship {\n  agent_id: string;\n  name: string;\n  tools: AgentCallRelationshipTool[];\n  sub_agents: AgentCallRelationshipSubAgent[];\n}\n\nexport interface AgentCallRelationshipModalProps {\n  visible: boolean;\n  onClose: () => void;\n  agentId: number;\n  agentName: string;\n}\n\n// Agent call relationship tree node data\nexport interface AgentCallRelationshipTreeNodeDatum {\n  name: string;\n  type?: string;\n  color?: string;\n  count?: string;\n  children?: AgentCallRelationshipTreeNodeDatum[];\n  depth?: number;\n  attributes?: { toolType?: string };\n}\n\n// ========== Layout and Configuration Interfaces ==========\n\n// Layout configuration interface\nexport interface LayoutConfig {\n  CARD_HEADER_PADDING: string;\n  CARD_BODY_PADDING: string;\n  DRAWER_WIDTH: string;\n}\n\n// ========== Event Interfaces ==========\n\n// Custom event types for agent configuration\nexport interface AgentConfigCustomEvent extends CustomEvent {\n  detail: AgentConfigDataResponse;\n}\n\n// Agent refresh event\nexport interface AgentRefreshEvent extends CustomEvent {\n  detail: any;\n}\n\n// ========== MCP Interfaces ==========\n\n// MCP server interface definition\nexport interface McpServer {\n  service_name: string;\n  mcp_url: string;\n  status: boolean;\n  remote_mcp_server_name?: string;\n  remote_mcp_server?: string;\n  authorization_token?: string | null;\n  mcp_id?: number;\n  /**\n   * Per-item permission returned by /mcp/list.\n   * EDIT: editable, READ_ONLY: read-only.\n   */\n  permission?: \"EDIT\" | \"READ_ONLY\";\n}\n\n// MCP tool interface definition\nexport interface McpTool {\n  name: string;\n  description: string;\n  parameters?: any;\n}\n\n// MCP container interface definition\nexport interface McpContainer {\n  container_id: string;\n  name?: string;\n  status?: string;\n  mcp_url?: string;\n  host_port?: number;\n  /**\n   * Per-item permission returned by /mcp/containers.\n   * EDIT: editable, READ_ONLY: read-only.\n   */\n  permission?: \"EDIT\" | \"READ_ONLY\";\n}\n\n// ========== Prompt Service Interfaces ==========\n\n/**\n * Prompt Generation Request Parameters\n */\nexport interface GeneratePromptParams {\n  agent_id: number;\n  task_description: string;\n  model_id: string;\n  tool_ids?: number[]; // Optional: tool IDs selected in frontend (takes precedence over database query)\n  sub_agent_ids?: number[]; // Optional: sub-agent IDs selected in frontend (takes precedence over database query)\n}\n\n/**\n * Stream Response Data Structure\n */\nexport interface StreamResponseData {\n  type: (typeof GENERATE_PROMPT_STREAM_TYPES)[keyof typeof GENERATE_PROMPT_STREAM_TYPES];\n  content: string;\n  is_complete: boolean;\n}\n"
  },
  {
    "path": "frontend/types/auth.ts",
    "content": "// User type definition - contains only basic user information\nimport type { USER_ROLES } from \"@/const/auth\";\n\nexport type UserRole = USER_ROLES;\n\nexport interface User {\n  id: string;\n  email: string;\n  role: UserRole;\n  avatarUrl?: string;\n  tenantId?: string;\n}\n\n// Session type definition\n// After HttpOnly cookie migration, tokens live in server-managed cookies.\n// Frontend only has access to expires_at (via a non-HttpOnly cookie).\nexport interface Session {\n  access_token?: string;\n  refresh_token?: string;\n  expires_at: number;\n  expires_in_seconds?: number;\n}\n\n// Error response interface\nexport interface ErrorResponse {\n  message: string;\n  code: number;\n  data?: any;\n}\n\n// Authorization context type\n// Auth form values interface\nexport interface AuthFormValues {\n  email: string;\n  password: string;\n  confirmPassword: string;\n  inviteCode?: string;\n}\n\n// Authorization context type\nexport interface AuthContextType {\n  user: User | null;\n  permissions: string[];\n  accessibleRoutes: string[];\n  isLoading: boolean;\n  isLoginModalOpen: boolean;\n  isRegisterModalOpen: boolean;\n  authServiceUnavailable: boolean;\n  isAuthReady: boolean;\n  openLoginModal: () => void;\n  closeLoginModal: () => void;\n  openRegisterModal: () => void;\n  closeRegisterModal: () => void;\n  login: (email: string, password: string) => Promise<void>;\n  register: (\n    email: string,\n    password: string,\n    inviteCode?: string\n  ) => Promise<void>;\n  logout: (options?: { silent?: boolean }) => Promise<void>;\n  clearLocalSession: () => void;\n  revoke: () => Promise<void>;\n}\n\n// Session response type\nexport interface SessionResponse {\n  data?: {\n    session?: Session | null;\n    user?: User | null;\n  };\n  error: ErrorResponse | null;\n}\n\n// Current user info response type (includes permissions and accessible routes)\n// Backend returns user data directly, not nested under \"user\" property\nexport interface AuthInfoResponse {\n  user: User & {\n    groupIds: number[];\n    permissions: string[];\n    accessibleRoutes: string[];\n  };\n}\n\nimport type { AUTH_EVENTS, AUTHZ_EVENTS } from \"@/const/auth\";\n\nexport type AuthEventKey = (typeof AUTH_EVENTS)[keyof typeof AUTH_EVENTS];\nexport type AuthzEventKey = (typeof AUTHZ_EVENTS)[keyof typeof AUTHZ_EVENTS];\n\n// Authentication Events\nexport interface AuthEvents {\n  [AUTH_EVENTS.LOGIN_SUCCESS]: User | null;\n  [AUTH_EVENTS.REGISTER_SUCCESS]: void;\n  [AUTH_EVENTS.LOGOUT]: void;\n  [AUTH_EVENTS.SESSION_EXPIRED]: void;\n  [AUTH_EVENTS.TOKEN_REFRESHED]: void;\n  [AUTH_EVENTS.SERVICE_UNAVAILABLE]: void;\n  [AUTH_EVENTS.BACK_TO_HOME]: void;\n}\n\n// Authorization Events\nexport interface AuthzEvents {\n  [AUTHZ_EVENTS.PERMISSION_DENIED]: { pathname: string } | void;\n  [AUTHZ_EVENTS.PERMISSIONS_READY]: User & {\n    permissions: string[];\n    accessibleRoutes: string[];\n  };\n  [AUTHZ_EVENTS.PERMISSIONS_UPDATED]: void;\n}\n\n// Authentication Context Type\nexport interface AuthenticationContextType {\n  // Authentication state\n  isAuthenticated: boolean;\n  isAuthChecking: boolean;\n  isLoading: boolean;\n  session: Session | null;\n\n  // UI state\n  isLoginModalOpen: boolean;\n  isRegisterModalOpen: boolean;\n  authServiceUnavailable: boolean;\n\n  // Methods\n  login: (\n    email: string,\n    password: string,\n    options?: { showSuccessMessage?: boolean }\n  ) => Promise<void>;\n  register: (\n    email: string,\n    password: string,\n    inviteCode?: string\n  ) => Promise<void>;\n  logout: (options?: { silent?: boolean }) => Promise<void>;\n  clearLocalSession: () => void;\n  revoke: () => Promise<void>;\n\n  // UI methods\n  openLoginModal: () => void;\n  closeLoginModal: () => void;\n  openRegisterModal: () => void;\n  closeRegisterModal: () => void;\n\n  // Auth prompt modal (for side navigation pre-check)\n  isAuthPromptModalOpen: boolean;\n  openAuthPromptModal: () => void;\n  closeAuthPromptModal: () => void;\n\n  // Session expired modal\n  isSessionExpiredModalOpen: boolean;\n  openSessionExpiredModal: () => void;\n  closeSessionExpiredModal: () => void;\n}\n\n// Authentication State Return Type - for useAuthenticationState hook\nexport interface AuthenticationStateReturn {\n  // Authentication state\n  isAuthenticated: boolean;\n  isAuthChecking: boolean;\n  isLoading: boolean;\n  session: Session | null;\n  authServiceUnavailable: boolean;\n\n  // Methods\n  login: (\n    email: string,\n    password: string,\n    options?: { showSuccessMessage?: boolean }\n  ) => Promise<void>;\n  register: (\n    email: string,\n    password: string,\n    inviteCode?: string\n  ) => Promise<void>;\n  logout: (options?: { silent?: boolean }) => Promise<void>;\n  clearLocalSession: () => void;\n  revoke: () => Promise<void>;\n}\n\n// Authentication UI Return Type - for useAuthenticationUI hook\nexport interface AuthenticationUIReturn {\n  // Login/Register Modal\n  isLoginModalOpen: boolean;\n  openLoginModal: () => void;\n  closeLoginModal: () => void;\n  isRegisterModalOpen: boolean;\n  openRegisterModal: () => void;\n  closeRegisterModal: () => void;\n\n  // Auth prompt modal (for side navigation pre-check)\n  isAuthPromptModalOpen: boolean;\n  openAuthPromptModal: () => void;\n  closeAuthPromptModal: () => void;\n\n  // Session expired modal\n  isSessionExpiredModalOpen: boolean;\n  openSessionExpiredModal: () => void;\n  closeSessionExpiredModal: () => void;\n}\n\n// Authorization Context Type\nexport interface AuthorizationContextType {\n  // Authorization data\n  user: User | null;\n  groupIds: number[];\n  permissions: string[];\n  accessibleRoutes: string[];\n\n  // State\n  isLoading: boolean;\n  error: Error | null;\n\n  // Authorization status\n  // True when authorization is complete and user has permission to access current route\n  isAuthorized: boolean;\n\n  // True when authorization data is ready (permissions loaded)\n  // Does not indicate whether user has permission, only that the process is complete\n  isAuthzReady: boolean;\n\n  // Methods\n  refetch: () => Promise<any>;\n  hasPermission: (permission: string) => boolean;\n  hasAnyPermission: (permissions: string[]) => boolean;\n  canAccessRoute: (route: string) => boolean;\n\n  // Authz prompt modal (permission denied)\n  isAuthzPromptModalOpen: boolean;\n  openAuthzPromptModal: () => void;\n  closeAuthzPromptModal: () => void;\n}\n"
  },
  {
    "path": "frontend/types/chat.ts",
    "content": "import { chatConfig } from \"@/const/chatConfig\";\nimport { MESSAGE_ROLES } from \"@/const/chatConfig\";\n\nexport type MessageRole = typeof MESSAGE_ROLES[keyof typeof MESSAGE_ROLES];\n\n// Step related types\nexport interface StepSection {\n  content: string\n  expanded: boolean\n}\n\nexport interface StepContent {\n  id: string\n  type: typeof chatConfig.messageTypes.MODEL_OUTPUT |\n        typeof chatConfig.messageTypes.MODEL_OUTPUT_CODE |\n        typeof chatConfig.messageTypes.PARSING |\n        typeof chatConfig.messageTypes.EXECUTION |\n        typeof chatConfig.messageTypes.ERROR |\n        typeof chatConfig.messageTypes.AGENT_NEW_RUN |\n        typeof chatConfig.messageTypes.EXECUTING |\n        typeof chatConfig.messageTypes.GENERATING_CODE |\n        typeof chatConfig.messageTypes.SEARCH_CONTENT |\n        typeof chatConfig.messageTypes.CARD |\n        typeof chatConfig.messageTypes.SEARCH_CONTENT_PLACEHOLDER |\n        typeof chatConfig.messageTypes.VIRTUAL |\n        typeof chatConfig.messageTypes.MEMORY_SEARCH |\n        typeof chatConfig.messageTypes.PREPROCESS\n  content: string\n  expanded: boolean\n  timestamp: number\n  subType?: \"thinking\" | \"code\" | \"deep_thinking\" | \"progress\" | \"file_processed\" | \"truncation\" | \"complete\" | \"error\"\n  isLoading?: boolean\n  _preserve?: boolean\n  _messageContainer?: {\n    search?: any[]\n    [key: string]: any\n  }\n}\n\nexport interface AgentStep {\n  id: string\n  title: string\n  content: string\n  expanded: boolean\n  metrics: string\n  // Support for both formats\n  thinking: StepSection\n  code: StepSection\n  output: StepSection\n  // New format content array\n  contents: StepContent[]\n  parsingContent?: string\n}\n\n// Agent related types - imported from agentConfig\n\nexport interface ChatAgentSelectorProps {\n  selectedAgentId: string | null;\n  onAgentSelect: (agentId: string | null) => void;\n  disabled?: boolean;\n  isInitialMode?: boolean;\n}\n\n// Search result type\nexport interface SearchResult {\n  title: string\n  url: string\n  text: string\n  published_date: string\n  source_type?: string\n  filename?: string\n  score?: number\n  score_details?: any\n  isExpanded?: boolean\n  tool_sign?: string\n  cite_index?: number\n}\n\n// File attachment type\nexport interface FileAttachment {\n  name: string\n  type: string\n  size: number\n  url?: string\n  object_name?: string\n  description?: string\n}\n\n// Attachment item type (for chat attachment component)\nexport interface AttachmentItem {\n  type: string;\n  name: string;\n  size: number;\n  url?: string;\n  object_name?: string;\n  contentType?: string;\n}\n\n// Chat attachment component props\nexport interface ChatAttachmentProps {\n  attachments: AttachmentItem[];\n  onImageClick?: (url: string) => void;\n  className?: string;\n}\n\n// Main chat message type\nexport interface ChatMessageType {\n  id: string\n  role: \"user\" | \"assistant\" | \"system\"\n  message_id?: number\n  content: string\n  opinion_flag?: string\n  timestamp: Date\n  sources?: {\n    id: string\n    title: string\n    url?: string\n    icon?: string\n  }[]\n  isComplete?: boolean\n  showRawContent?: boolean\n  docIds?: string[]\n  images?: string[]\n  isDeepSearch?: boolean\n  isDeepSeek?: boolean\n  sessionId?: string\n  referenceId?: string\n  reference?: any\n  steps?: AgentStep[]\n  finalAnswer?: string\n  error?: string\n  agentRun?: string\n  searchResults?: SearchResult[]\n  attachments?: FileAttachment[]\n  thinking?: any[]\n}\n\n// Message processing structure\nexport interface ProcessedMessages {\n  finalMessages: ChatMessageType[]; // User messages and final answers\n  taskMessages: any[]; // Task messages, used for task windows\n  // Add conversation group mapping\n  conversationGroups: Map<string, any[]>; // User message ID -> related task messages\n}\n\n// Chat stream main component props\nexport interface ChatStreamMainProps {\n  messages: ChatMessageType[];\n  input: string;\n  isLoading: boolean;\n  isStreaming?: boolean;\n  isLoadingHistoricalConversation?: boolean;\n  conversationLoadError?: string;\n  onInputChange: (value: string) => void;\n  onSend: () => void;\n  onStop: () => void;\n  onKeyDown: (e: React.KeyboardEvent) => void;\n  onSelectMessage?: (messageId: string) => void;\n  selectedMessageId?: string;\n  onImageClick?: (image: string) => void;\n  attachments?: FilePreview[];\n  onAttachmentsChange?: (attachments: FilePreview[]) => void;\n  onFileUpload?: (file: File) => void;\n  onImageUpload?: (file: File) => void;\n  onOpinionChange?: (messageId: number, opinion: \"Y\" | \"N\" | null) => void;\n  currentConversationId?: number;\n  shouldScrollToBottom?: boolean;\n  selectedAgentId?: string | null;\n  onAgentSelect?: (agentId: string | null) => void;\n  onCitationHover?: () => void;\n  onScroll?: () => void;\n}\n\n// Card item type for task window\nexport interface CardItem {\n  icon?: string;\n  text: string;\n  [key: string]: any; // Allow other properties\n}\n\n// Context passed from the component to module-level message handlers\nexport interface MessageHandlerContext {\n  appConfig?: import(\"@/types/modelConfig\").AppConfig;\n}\n\n// Message handler interface for task window extensibility\nexport interface MessageHandler {\n  canHandle: (message: any) => boolean;\n  render: (\n    message: any,\n    t: (key: string, options?: any) => string,\n    context?: MessageHandlerContext\n  ) => React.ReactNode;\n}\n\nexport interface ApiMessageItem {\n  type: string\n  content: string\n}\n\nexport interface SearchResultItem {\n  cite_index: number;\n  tool_sign: string;\n  title: string\n  text: string\n  source_type: string\n  url: string\n  filename: string | null\n  published_date: string | null\n  score: number | null\n  score_details: Record<string, any>\n}\n\nexport interface MinioFileItem {\n  type: string\n  name: string\n  size: number\n  object_name?: string\n  url?: string\n  description?: string\n}\n\nexport interface ApiMessage {\n  role: \"user\" | \"assistant\"\n  message: ApiMessageItem[]\n  message_id: number\n  opinion_flag?: string\n  picture?: string[]\n  search?: SearchResultItem[]\n  search_unit_id?: { [unitId: string]: SearchResultItem[] }\n  minio_files?: MinioFileItem[]\n  cards?: any[]\n}\n\nexport interface ApiConversationDetail {\n  create_time: number\n  conversation_id: number\n  message: ApiMessage[]\n}\n\nexport interface ConversationListItem {\n  conversation_id: number\n  conversation_title: string\n  create_time: number\n  update_time: number\n}\n\n// File preview type\nexport interface FilePreview {\n  id: string;\n  file: File;\n  type: \"image\" | \"file\";\n  fileType?: string;\n  extension?: string;\n  previewUrl?: string;\n}\n\n// Settings menu item type for admin users\nexport interface SettingsMenuItem {\n  key: string;\n  label: string;\n  onClick: () => void;\n}\n\n// Image item type for chat right panel\nexport interface ImageItem {\n  base64Data: string;\n  contentType: string;\n  isLoading: boolean;\n  error?: string;\n  loadAttempts?: number; // Load attempts\n}\n\n// Chat right panel props type\nexport interface ChatRightPanelProps {\n  messages: ChatMessageType[];\n  onImageError: (imageUrl: string) => void;\n  maxInitialImages?: number;\n  isVisible?: boolean;\n  toggleRightPanel?: () => void;\n  selectedMessageId?: string;\n}\n\n// Task message type\nexport interface TaskMessageType extends ChatMessageType {\n  type?: string;\n}\n\n// Message group type for task messages\nexport interface MessageGroup {\n  message: TaskMessageType;\n  cards: TaskMessageType[];\n}\n\n// Chat task message result type\nexport interface ChatTaskMessageResult {\n  visibleMessages: TaskMessageType[];\n  groupedMessages: MessageGroup[];\n  hasMessages: boolean;\n  hasVisibleMessages: boolean;\n}\n\n// Storage upload result type\nexport interface StorageUploadResult {\n  message: string;\n  success_count: number;\n  failed_count: number;\n  results: {\n    success: boolean;\n    object_name: string;\n    file_name: string;\n    file_size: number;\n    content_type: string;\n    upload_time: string;\n    url: string;\n    error?: string;\n  }[];\n}"
  },
  {
    "path": "frontend/types/conversation.ts",
    "content": "export interface ConversationListItem {\n  conversation_id: number;\n  conversation_title: string;\n  create_time: number;\n  update_time: number;\n}\n\nexport interface ConversationListResponse {\n  code: number;\n  data: ConversationListItem[];\n  message: string;\n}\n\nexport interface ApiMessageItem {\n  type: string;\n  content: string;\n}\n\nexport interface ApiMessage {\n  role: \"user\" | \"assistant\";\n  message: ApiMessageItem[];\n  picture?: string[];\n  search?: any[];\n  minio_files?: Array<string | {\n    object_name: string;\n    name: string;\n    type: string;\n    size: number;\n    url?: string;\n  }>;\n}\n\nexport interface ApiConversationDetail {\n  create_time: number;\n  conversation_id: number;\n  message: ApiMessage[];\n}\n\nexport interface ApiConversationResponse {\n  code: number;\n  data: ApiConversationDetail[];\n  message: string;\n}\n"
  },
  {
    "path": "frontend/types/knowledgeBase.ts",
    "content": "// Knowledge base related type definitions\n\nimport {\n  DOCUMENT_ACTION_TYPES,\n  KNOWLEDGE_BASE_ACTION_TYPES,\n  UI_ACTION_TYPES,\n  NOTIFICATION_TYPES,\n} from \"@/const/knowledgeBase\";\n\n// Knowledge base basic type\nexport interface KnowledgeBase {\n  id: string;\n  name: string;\n  display_name?: string; // User-friendly display name, falls back to name if not available\n  description: string | null;\n  chunkCount: number;\n  documentCount: number;\n  createdAt: any;\n  // Last update time of the knowledge base/index (may fall back to createdAt)\n  updatedAt?: any;\n  embeddingModel: string;\n  knowledge_sources?: string;\n  ingroup_permission?: string;\n  group_ids?: number[];\n  store_size?: string;\n  process_source?: string;\n  avatar: string;\n  chunkNum: number;\n  language: string;\n  nickname: string;\n  parserId: string;\n  permission: string;\n  tokenNum: number;\n  source: string;\n  tenant_id?: string;\n}\n\n// Create knowledge base parameter type\nexport interface KnowledgeBaseCreateParams {\n  name: string;\n  description: string;\n  source?: string;\n  embeddingModel?: string;\n  // Group permission and user groups for new knowledge bases\n  ingroup_permission?: string;\n  group_ids?: number[];\n}\n\n// Document type\nexport interface Document {\n  id: string;\n  kb_id: string;\n  name: string;\n  type: string;\n  size: number;\n  create_time: string;\n  chunk_num: number;\n  token_num: number;\n  status: string;\n  selected?: boolean; // For UI selection status\n  latest_task_id: string; // For marking the latest celery task\n  error_reason?: string; // Error reason for failed documents\n  // Optional ingestion progress metrics\n  processed_chunk_num?: number | null;\n  total_chunk_num?: number | null;\n}\n\n// Document state interface\nexport interface DocumentState {\n  documentsMap: Record<string, Document[]>;\n  selectedIds: string[];\n  uploadFiles: File[];\n  isUploading: boolean;\n  loadingKbIds: Set<string>;\n  isLoadingDocuments: boolean;\n  error: string | null;\n}\n\n// Document action type\nexport type DocumentAction =\n  | {\n      type: typeof DOCUMENT_ACTION_TYPES.FETCH_SUCCESS;\n      payload: { kbId: string; documents: Document[] };\n    }\n  | { type: typeof DOCUMENT_ACTION_TYPES.SELECT_DOCUMENT; payload: string }\n  | { type: typeof DOCUMENT_ACTION_TYPES.SELECT_DOCUMENTS; payload: string[] }\n  | {\n      type: typeof DOCUMENT_ACTION_TYPES.SELECT_ALL;\n      payload: { kbId: string; selected: boolean };\n    }\n  | { type: typeof DOCUMENT_ACTION_TYPES.SET_UPLOAD_FILES; payload: File[] }\n  | { type: typeof DOCUMENT_ACTION_TYPES.SET_UPLOADING; payload: boolean }\n  | {\n      type: typeof DOCUMENT_ACTION_TYPES.SET_LOADING_DOCUMENTS;\n      payload: boolean;\n    }\n  | {\n      type: typeof DOCUMENT_ACTION_TYPES.DELETE_DOCUMENT;\n      payload: { kbId: string; docId: string };\n    }\n  | {\n      type: typeof DOCUMENT_ACTION_TYPES.SET_LOADING_KB_ID;\n      payload: { kbId: string; isLoading: boolean };\n    }\n  | { type: typeof DOCUMENT_ACTION_TYPES.CLEAR_DOCUMENTS; payload?: undefined }\n  | { type: typeof DOCUMENT_ACTION_TYPES.ERROR; payload: string };\n\n// Knowledge base state interface\nexport interface KnowledgeBaseState {\n  knowledgeBases: KnowledgeBase[];\n  selectedIds: string[];\n  activeKnowledgeBase: KnowledgeBase | null;\n  currentEmbeddingModel: string | null;\n  isLoading: boolean;\n  syncLoading: boolean;\n  error: string | null;\n  dataMateSyncError?: string;\n}\n\n// Knowledge base action type\nexport type KnowledgeBaseAction =\n  | {\n      type: typeof KNOWLEDGE_BASE_ACTION_TYPES.FETCH_SUCCESS;\n      payload: KnowledgeBase[];\n    }\n  | {\n      type: typeof KNOWLEDGE_BASE_ACTION_TYPES.SELECT_KNOWLEDGE_BASE;\n      payload: string[];\n    }\n  | {\n      type: typeof KNOWLEDGE_BASE_ACTION_TYPES.SET_ACTIVE;\n      payload: KnowledgeBase | null;\n    }\n  | {\n      type: typeof KNOWLEDGE_BASE_ACTION_TYPES.SET_MODEL;\n      payload: string | null;\n    }\n  | {\n      type: typeof KNOWLEDGE_BASE_ACTION_TYPES.DELETE_KNOWLEDGE_BASE;\n      payload: string;\n    }\n  | {\n      type: typeof KNOWLEDGE_BASE_ACTION_TYPES.ADD_KNOWLEDGE_BASE;\n      payload: KnowledgeBase;\n    }\n  | { type: typeof KNOWLEDGE_BASE_ACTION_TYPES.LOADING; payload: boolean }\n  | {\n      type: typeof KNOWLEDGE_BASE_ACTION_TYPES.SET_SYNC_LOADING;\n      payload: boolean;\n    }\n  | {\n      type: typeof KNOWLEDGE_BASE_ACTION_TYPES.SET_DATA_MATE_SYNC_ERROR;\n      payload: string | undefined;\n    }\n  | { type: typeof KNOWLEDGE_BASE_ACTION_TYPES.ERROR; payload: string };\n\n// UI state interface\nexport interface UIState {\n  isDragging: boolean;\n  isCreateModalVisible: boolean;\n  isDocModalVisible: boolean;\n  notifications: {\n    id: string;\n    message: string;\n    type:\n      | typeof NOTIFICATION_TYPES.SUCCESS\n      | typeof NOTIFICATION_TYPES.ERROR\n      | typeof NOTIFICATION_TYPES.INFO\n      | typeof NOTIFICATION_TYPES.WARNING;\n  }[];\n}\n\n// UI action type\nexport type UIAction =\n  | { type: typeof UI_ACTION_TYPES.SET_DRAGGING; payload: boolean }\n  | { type: typeof UI_ACTION_TYPES.TOGGLE_CREATE_MODAL; payload: boolean }\n  | { type: typeof UI_ACTION_TYPES.TOGGLE_DOC_MODAL; payload: boolean }\n  | {\n      type: typeof UI_ACTION_TYPES.ADD_NOTIFICATION;\n      payload: {\n        message: string;\n        type:\n          | typeof NOTIFICATION_TYPES.SUCCESS\n          | typeof NOTIFICATION_TYPES.ERROR\n          | typeof NOTIFICATION_TYPES.INFO\n          | typeof NOTIFICATION_TYPES.WARNING;\n      };\n    }\n  | { type: typeof UI_ACTION_TYPES.REMOVE_NOTIFICATION; payload: string };\n\n// Abortable error type for upload operations\nexport interface AbortableError extends Error {\n  name: string;\n}\n\n// Custom error type for DataMate sync failures\nexport class DataMateSyncError extends Error {\n  constructor(message: string) {\n    super(message);\n    this.name = \"DataMateSyncError\";\n  }\n}\n\n// Result type for knowledge base fetch with DataMate sync status\nexport interface KnowledgeBasesWithDataMateStatus {\n  knowledgeBases: KnowledgeBase[];\n  dataMateSyncError?: string;\n}\n"
  },
  {
    "path": "frontend/types/market.ts",
    "content": "/**\n * Market types for agent marketplace\n */\n\nexport interface MarketCategory {\n  id: number;\n  name: string;\n  display_name: string;\n  display_name_zh: string;\n  description: string;\n  description_zh: string;\n  icon: string;\n  sort_order: number;\n  created_at: string;\n}\n\nexport interface MarketTag {\n  id: number;\n  name: string;\n  display_name: string;\n  description: string;\n  created_at: string;\n}\n\nexport interface MarketAgentListItem {\n  id: number;\n  agent_id: number;\n  name: string;\n  display_name: string;\n  description: string;\n  author?: string;\n  category?: MarketCategory;\n  tags: MarketTag[];\n  download_count: number;\n  created_at: string;\n  tool_count?: number;\n  is_featured: boolean;\n}\n\nexport interface MarketAgentTool {\n  id: number;\n  class_name: string;\n  name: string;\n  description: string;\n  inputs: string;\n  output_type: string;\n  params: Record<string, any>;\n  source: string;\n  usage: string | null;\n  tool_metadata: Record<string, any> | null;\n}\n\nexport interface MarketMcpServer {\n  id: number;\n  mcp_server_name: string;\n  mcp_url: string;\n}\n\nexport interface MarketAgentDetail extends MarketAgentListItem {\n  business_description: string;\n  max_steps: number;\n  provide_run_summary: boolean;\n  duty_prompt: string;\n  constraint_prompt: string;\n  few_shots_prompt: string;\n  enabled: boolean;\n  model_id: number;\n  model_name: string;\n  business_logic_model_id: number;\n  business_logic_model_name: string;\n  tools: MarketAgentTool[];\n  mcp_servers: MarketMcpServer[];\n  updated_at: string;\n  agent_json: {\n    agent_id: number;\n    mcp_info: Array<{\n      mcp_server_name: string;\n      mcp_url: string;\n    }>;\n    agent_info: Record<string, any>;\n  };\n}\n\nexport interface MarketPagination {\n  page: number;\n  page_size: number;\n  total: number;\n  total_pages: number;\n}\n\nexport interface MarketAgentListResponse {\n  items: MarketAgentListItem[];\n  pagination: MarketPagination;\n  // Optional featured items returned by the API when requested\n  featured_items?: MarketAgentListItem[];\n}\n\nexport interface MarketAgentListParams {\n  page?: number;\n  page_size?: number;\n  category?: string;\n  tag?: string;\n  search?: string;\n  lang?: string;\n}\n\n"
  },
  {
    "path": "frontend/types/memory.ts",
    "content": "export interface MemoryItem {\n  id: string\n  memory: string\n  user_id: string\n  agent_id: string\n  agent_name: string\n  update_date: string\n}\n\nexport interface MemoryGroup {\n  title: string\n  key: string\n  items: MemoryItem[]\n}\n\n// Memory modal interfaces\nexport interface MemoryDeleteModalProps {\n  visible: boolean;\n  targetTitle?: string | null;\n  onOk: () => void;\n  onCancel: () => void;\n}\n\nexport interface MemoryManageModalProps {\n  visible: boolean;\n  onClose: () => void;\n  userRole?: \"admin\" | \"user\";\n}\n\n// Page size\nexport const pageSize = 4\n\n// Label with icon function type\nexport type LabelWithIconFunction = (Icon: React.ElementType, text: string) => JSX.Element;\n\n// Use memory hook options interface\nexport interface UseMemoryOptions {\n  visible: boolean\n  currentUserId: string\n  currentTenantId: string\n  message?: any\n}\n"
  },
  {
    "path": "frontend/types/modelConfig.ts",
    "content": "// Model connection status type\nexport type ModelConnectStatus =\n  | \"not_detected\"\n  | \"detecting\"\n  | \"available\"\n  | \"unavailable\";\n\n// API response type\nexport interface ApiResponse<T = any> {\n  code: number;\n  message?: string;\n  data?: T;\n}\n\n// Model source type\nexport type ModelSource =\n  | \"openai\"\n  | \"custom\"\n  | \"silicon\"\n  | \"dashscope\"\n  | \"tokenpony\"\n  | \"OpenAI-API-Compatible\"\n  | \"modelengine\";\n\n// Model type\nexport type ModelType =\n  | \"llm\"\n  | \"embedding\"\n  | \"rerank\"\n  | \"stt\"\n  | \"tts\"\n  | \"vlm\"\n  | \"multi_embedding\";\n\n// Model option interface\nexport interface ModelOption {\n  id: number;\n  name: string;\n  type: ModelType;\n  maxTokens: number;\n  source: ModelSource;\n  apiKey: string;\n  apiUrl: string;\n  displayName: string;\n  connect_status?: ModelConnectStatus;\n  expectedChunkSize?: number;\n  maximumChunkSize?: number;\n  chunkingBatchSize?: number;\n}\n\n// Application configuration interface\nexport interface AppConfig {\n  appName: string;\n  appDescription: string;\n  iconType: \"preset\" | \"custom\";\n  iconKey: string; // Selected preset icon key\n  customIconUrl: string | null;\n  avatarUri: string | null;\n  modelEngineEnabled: boolean;\n  datamateUrl: string | null;\n}\n\n// Model API configuration interface\nexport interface ModelApiConfig {\n  apiKey: string;\n  modelUrl: string;\n}\n\n// Single model configuration interface\nexport interface SingleModelConfig {\n  modelName: string;\n  displayName: string;\n  apiConfig: ModelApiConfig;\n  dimension?: number; // Only used for embedding and multiEmbedding models\n}\n\n// Model configuration interface\nexport interface ModelConfig {\n  llm: SingleModelConfig;\n  embedding: SingleModelConfig;\n  multiEmbedding: SingleModelConfig;\n  rerank: SingleModelConfig;\n  vlm: SingleModelConfig;\n  stt: SingleModelConfig;\n  tts: SingleModelConfig;\n}\n\n// Global configuration interface\nexport interface GlobalConfig {\n  app: AppConfig;\n  models: ModelConfig;\n}\n\n// Add the type for model validation response with error_code\nexport interface ModelValidationResponse {\n  connectivity: boolean;\n  model_name: string;\n  error?: string; // Error message when connectivity fails\n}\n"
  },
  {
    "path": "make/data_process/Dockerfile",
    "content": "FROM python:3.10-slim\nARG MIRROR\nARG APT_MIRROR\nLABEL authors=\"nexent\"\n\n# Set correct permissions as root\nUSER root\n\n# Configure apt sources based on build argument\nRUN if [ \"$APT_MIRROR\" = \"tsinghua\" ]; then \\\n        rm -f /etc/apt/sources.list.d/* && \\\n        echo \"deb https://mirrors.tuna.tsinghua.edu.cn/debian/ bookworm main contrib non-free non-free-firmware\" > /etc/apt/sources.list && \\\n        echo \"deb https://mirrors.tuna.tsinghua.edu.cn/debian/ bookworm-updates main contrib non-free non-free-firmware\" >> /etc/apt/sources.list && \\\n        echo \"deb https://mirrors.tuna.tsinghua.edu.cn/debian/ bookworm-backports main contrib non-free non-free-firmware\" >> /etc/apt/sources.list && \\\n        echo \"deb https://mirrors.tuna.tsinghua.edu.cn/debian-security bookworm-security main contrib non-free non-free-firmware\" >> /etc/apt/sources.list; \\\n    fi && \\\n    apt-get update && apt-get install -y curl && rm -rf /var/lib/apt/lists/*\n\nRUN apt-get update && \\\n    apt-get install -y --no-install-recommends --fix-missing \\\n        curl \\\n        libmagic1 \\\n        libmagic-dev \\\n        libreoffice \\\n        libgl1 \\\n        coreutils \\\n        fontconfig \\\n        fonts-noto-cjk \\\n    && fc-cache -fv \\\n    && apt-get autoremove -y \\\n    && apt-get clean \\\n    && rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/*\n\nRUN pip install --no-cache-dir uv $(test -n \"$MIRROR\" && echo \"-i $MIRROR\")\n# Layer 0: copy model assets\nCOPY model-assets/clip-vit-base-patch32 /opt/models/clip-vit-base-patch32\nCOPY model-assets/nltk_data /opt/models/nltk_data\n\nWORKDIR /opt/backend\n# Layer 1: install base dependencies\nCOPY backend/pyproject.toml /opt/backend/pyproject.toml\nRUN uv sync --no-cache-dir --extra data-process $(test -n \"$MIRROR\" && echo \"-i $MIRROR\") && \\\n    uv cache clean\n# Layer 2: install sdk in link mode\nCOPY sdk /opt/sdk\nRUN uv pip install --no-cache-dir /opt/sdk $(test -n \"$MIRROR\" && echo \"-i $MIRROR\") && \\\n    uv cache clean\n\n# Pre-download tiktoken cl100k_base model to avoid network issues during runtime\nRUN uv run python -c \"import tiktoken; enc = tiktoken.get_encoding('cl100k_base')\"\n# Layer 3: copy backend code\nCOPY backend /opt/backend\n\nENV VIRTUAL_ENV=/opt/backend/.venv\nENV PATH=\"$VIRTUAL_ENV/bin:/usr/bin:/bin:/usr/local/bin:$PATH\"\n\nWORKDIR /opt\n\n# Expose the service port\nEXPOSE 5012\n"
  },
  {
    "path": "make/docs/Dockerfile",
    "content": "# 使用 Node.js 18 作为基础镜像\nFROM node:18-alpine\nARG MIRROR\n\nWORKDIR /app\n\n# 复制文档项目\nCOPY doc .\n\n# 安装系统依赖\nRUN apk add --no-cache wget\n\n# 安装依赖并构建\nRUN npm add -D vitepress && \\\n    npm run docs:build\n\n# 暴露端口\nEXPOSE 4173\n\n# 设置健康检查\nHEALTHCHECK --interval=30s --timeout=30s --start-period=5s --retries=3 \\\n    CMD wget --no-verbose --tries=1 --spider http://localhost:4173/ || exit 1\n\n# 启动 VitePress 预览服务（服务构建后的静态文件）\nCMD [\"npm\", \"run\", \"docs:preview\", \"--\", \"--host\", \"0.0.0.0\", \"--port\", \"4173\"]"
  },
  {
    "path": "make/main/Dockerfile",
    "content": "FROM python:3.10-slim\nARG MIRROR\nARG APT_MIRROR\nLABEL authors=\"nexent\"\n\n# Set correct permissions as root\nUSER root\nRUN umask 0022\n\n# Configure apt sources based on build argument\nRUN if [ \"$APT_MIRROR\" = \"tsinghua\" ]; then \\\n        rm -f /etc/apt/sources.list.d/* && \\\n        echo \"deb https://mirrors.tuna.tsinghua.edu.cn/debian/ bookworm main contrib non-free non-free-firmware\" > /etc/apt/sources.list && \\\n        echo \"deb https://mirrors.tuna.tsinghua.edu.cn/debian/ bookworm-updates main contrib non-free non-free-firmware\" >> /etc/apt/sources.list && \\\n        echo \"deb https://mirrors.tuna.tsinghua.edu.cn/debian/ bookworm-backports main contrib non-free non-free-firmware\" >> /etc/apt/sources.list && \\\n        echo \"deb https://mirrors.tuna.tsinghua.edu.cn/debian-security bookworm-security main contrib non-free non-free-firmware\" >> /etc/apt/sources.list; \\\n    fi && \\\n    apt-get update && apt-get install -y curl && rm -rf /var/lib/apt/lists/*\n\nRUN pip install --no-cache-dir uv $(test -n \"$MIRROR\" && echo \"-i $MIRROR\")\nWORKDIR /opt/backend\n\n# Layer 0: install base dependencies\nCOPY backend/pyproject.toml /opt/backend/pyproject.toml\nRUN uv sync --no-cache-dir $(test -n \"$MIRROR\" && echo \"-i $MIRROR\") && \\\n    uv cache clean\n# Layer 1: install sdk in link mode\nCOPY sdk /opt/sdk\nRUN uv pip install --no-cache-dir /opt/sdk $(test -n \"$MIRROR\" && echo \"-i $MIRROR\") && \\\n    uv cache clean\n\n# Pre-download tiktoken cl100k_base model to avoid network issues during runtime\nRUN uv run python -c \"import tiktoken; enc = tiktoken.get_encoding('cl100k_base')\"\n# Layer 2: copy backend code\nCOPY backend /opt/backend\n\n# Create SSH key directory for Terminal tool\nRUN mkdir -p /opt/ssh-keys\nVOLUME [\"/opt/ssh-keys\"]\n\nENV VIRTUAL_ENV=/opt/backend/.venv\nENV PATH=\"$VIRTUAL_ENV/bin:$PATH\"\nWORKDIR /opt\n\n# Expose the service port\nEXPOSE 5010\n"
  },
  {
    "path": "make/mcp/Dockerfile",
    "content": "FROM python:3.10-slim\n\nARG MIRROR\nARG APT_MIRROR\n\n# Set correct permissions as root\nUSER root\nRUN umask 0022\n\n# Configure apt sources based on build argument\nRUN if [ \"$APT_MIRROR\" = \"tsinghua\" ]; then \\\n        rm -f /etc/apt/sources.list.d/* && \\\n        echo \"deb https://mirrors.tuna.tsinghua.edu.cn/debian/ bookworm main contrib non-free non-free-firmware\" > /etc/apt/sources.list && \\\n        echo \"deb https://mirrors.tuna.tsinghua.edu.cn/debian/ bookworm-updates main contrib non-free non-free-firmware\" >> /etc/apt/sources.list && \\\n        echo \"deb https://mirrors.tuna.tsinghua.edu.cn/debian/ bookworm-backports main contrib non-free non-free-firmware\" >> /etc/apt/sources.list && \\\n        echo \"deb https://mirrors.tuna.tsinghua.edu.cn/debian-security bookworm-security main contrib non-free non-free-firmware\" >> /etc/apt/sources.list; \\\n    fi && \\\n    apt-get update && \\\n    apt-get install -y --no-install-recommends curl ca-certificates gnupg xz-utils && \\\n    rm -rf /var/lib/apt/lists/*\n\n# Optional pip mirror for Python packages\nRUN if [ -n \"$MIRROR\" ]; then pip config set global.index-url \"$MIRROR\"; fi\n\n# Install uv (fast Python package installer)\nRUN pip install --no-cache-dir uv\n\nARG MCP_PROXY_VERSION\n\nWORKDIR /opt\n\n# Install mcp-proxy from PyPI (optionally pinned)\nRUN if [ -n \"$MCP_PROXY_VERSION\" ]; then \\\n        pip install --no-cache-dir \"mcp-proxy==$MCP_PROXY_VERSION\"; \\\n    else \\\n        pip install --no-cache-dir mcp-proxy; \\\n    fi\n\n# Install Node.js 20 from official binaries (pin exact version to avoid repo issues)\nARG NODE_VERSION=20.17.0\nRUN set -euo pipefail && \\\n    arch=\"$(dpkg --print-architecture)\" && \\\n    case \"${arch}\" in \\\n        amd64) node_arch=\"x64\" ;; \\\n        arm64) node_arch=\"arm64\" ;; \\\n        *) echo \"Unsupported architecture: ${arch}\" >&2; exit 1 ;; \\\n    esac && \\\n    curl -fsSLO \"https://nodejs.org/dist/v${NODE_VERSION}/node-v${NODE_VERSION}-linux-${node_arch}.tar.xz\" && \\\n    tar -C /usr/local --strip-components=1 -xJf \"node-v${NODE_VERSION}-linux-${node_arch}.tar.xz\" && \\\n    rm \"node-v${NODE_VERSION}-linux-${node_arch}.tar.xz\" && \\\n    node -v && npm -v"
  },
  {
    "path": "make/terminal/Dockerfile",
    "content": "FROM ubuntu:24.04\n\n# Set environment variables\nENV CONDA_DIR=/opt/conda\n\n# Install base tools and dependencies with retry mechanism and network optimization\nRUN apt-get clean && \\\n    apt-get update --fix-missing && \\\n    apt-get install -y --no-install-recommends \\\n        openssh-server \\\n        curl \\\n        wget \\\n        git \\\n        vim \\\n        build-essential \\\n        python3 \\\n        python3-pip \\\n        python3-venv \\\n    && rm -rf /var/lib/apt/lists/* \\\n    && apt-get clean\n\n# Using root user - no additional user creation needed\n\n# Configure SSH - enable root login + enable password authentication\nRUN mkdir /var/run/sshd && \\\n    sed -i 's/#PermitRootLogin prohibit-password/PermitRootLogin yes/' /etc/ssh/sshd_config && \\\n    sed -i 's/#PasswordAuthentication yes/PasswordAuthentication yes/' /etc/ssh/sshd_config\n\n# Install Miniconda\nARG TARGETARCH\nRUN wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-$(if [ \"$TARGETARCH\" = \"amd64\" ]; then echo \"x86_64\"; elif [ \"$TARGETARCH\" = \"arm64\" ]; then echo \"aarch64\"; else echo \"$TARGETARCH\"; fi).sh -O /tmp/miniconda.sh && \\\n    bash /tmp/miniconda.sh -b -p $CONDA_DIR && \\\n    rm /tmp/miniconda.sh\n\n# Conda permissions - root owns everything by default\n\n# Add conda to PATH and initialize\nENV PATH=\"$CONDA_DIR/bin:$PATH\"\nRUN conda init\n\n# Create .ssh directory for root\nRUN mkdir -p /root/.ssh && \\\n    chmod 700 /root/.ssh\n\n# Create default working directory\nRUN mkdir -p /opt/terminal\n\n# Set working directory\nWORKDIR /opt\n\n# Entrypoint script\nCOPY make/terminal/entrypoint.sh /entrypoint.sh\nRUN chmod +x /entrypoint.sh\n\nEXPOSE 22\nENTRYPOINT [\"/entrypoint.sh\"]\n"
  },
  {
    "path": "make/terminal/entrypoint.sh",
    "content": "#!/bin/bash\nset -e\n\n# Get user name and password\nDEV_USER=${DEV_USER:-linuxserver.io}\nDEV_PASSWORD=${DEV_PASSWORD:-nexent123}\n\n# Set correct home directory based on user\nif [ \"$DEV_USER\" = \"root\" ]; then\n    USER_HOME=\"/root\"\nelse\n    USER_HOME=\"/home/$DEV_USER\"\nfi\n\n# Create user if it doesn't exist (except for root)\nif [ \"$DEV_USER\" != \"root\" ] && ! id \"$DEV_USER\" &>/dev/null; then\n    echo \"Creating user: $DEV_USER\"\n    useradd -m -s /bin/bash -G sudo \"$DEV_USER\" 2>/dev/null || useradd -m -s /bin/bash \"$DEV_USER\"\n    echo \"✅ User $DEV_USER created\"\n    \n    # Ensure user has proper permissions\n    chown -R \"$DEV_USER:$DEV_USER\" \"$USER_HOME\" 2>/dev/null || true\nfi\n\n# Set user password for SSH authentication\nif echo \"$DEV_USER:$DEV_PASSWORD\" | chpasswd; then\n    echo \"✅ User password set for SSH authentication\"\nelse\n    echo \"❌ Failed to set password for user $DEV_USER\"\n    echo \"   This might be due to password policy restrictions\"\n    echo \"   Trying alternative method...\"\n    \n    # Try using passwd command as fallback\n    echo -e \"$DEV_PASSWORD\\n$DEV_PASSWORD\" | passwd \"$DEV_USER\" 2>/dev/null || {\n        echo \"❌ Alternative password setting also failed\"\n        echo \"   Please check password complexity requirements\"\n        exit 1\n    }\n    echo \"✅ Password set using alternative method\"\nfi\n\n# Allow login (unlock)\npasswd -u \"$DEV_USER\" 2>/dev/null || true\n\n# Ensure shell is available\nusermod -s /bin/bash \"$DEV_USER\" 2>/dev/null || true\n\n# Configure conda auto-activation for development user\necho \"Configuring conda auto-activation for user $DEV_USER...\"\necho 'export PATH=\"/opt/conda/bin:$PATH\"' >> \"$USER_HOME/.bashrc\"\necho 'source /opt/conda/etc/profile.d/conda.sh' >> \"$USER_HOME/.bashrc\"\necho 'conda activate base' >> \"$USER_HOME/.bashrc\"\nchown $DEV_USER:$DEV_USER \"$USER_HOME/.bashrc\"\n\n# Configure SSH timeout settings\necho \"Configuring SSH timeout settings (60 minutes)...\"\ncat >> /etc/ssh/sshd_config << 'SSHD_EOF'\n\n# Nexent Terminal Tool - Session timeout configuration (60 minutes = 3600 seconds)\nClientAliveInterval 300\nClientAliveCountMax 12\nSSHD_EOF\n\necho \"SSH timeout configuration applied successfully\"\n\n# Fix terminal directory permissions if mounted from host\necho \"Fixing terminal directory permissions...\"\nif [ -d \"/opt/terminal\" ]; then\n    chown -R $DEV_USER:$DEV_USER /opt/terminal 2>/dev/null || true\n    chmod 755 /opt/terminal 2>/dev/null || true\n    echo \"✅ Terminal directory permissions fixed\"\nelse\n    echo \"⚠️ Terminal directory not found\"\nfi\n\n# Start SSH service\nif [ $# -gt 0 ]; then\n    exec \"$@\"\nelse\n    exec /usr/sbin/sshd -D\nfi\n"
  },
  {
    "path": "make/web/Dockerfile",
    "content": "# Build stage\nFROM node:20-alpine AS builder\nARG MIRROR\n\n# Copy frontend directory\nCOPY frontend /opt/frontend\n\n# Build Next.js application\nWORKDIR /opt/frontend\n\n# BuildKit must be enabled for --mount=type=cache to work\n# Docker 23.0+ has BuildKit enabled by default\n# For older versions, set environment variable: DOCKER_BUILDKIT=1\n# Or add \"features\": {\"buildkit\": true} to ~/.docker/config.json\n# Use BuildKit named caches for npm cache and node_modules\n# - id=npm-cache: persists across builds, keyed by cache id\n# - sharing=locked: allows concurrent access from multiple builds\n# Cache will be reused as long as package.json and package-lock.json content don't change\nRUN --mount=type=cache,id=npm-cache,target=/root/.npm,sharing=locked \\\n    --mount=type=cache,id=node-modules,target=/opt/frontend/node_modules,sharing=locked \\\n    if [ -n \"$MIRROR\" ]; then npm config set registry \"$MIRROR\"; fi && \\\n    npm install --verbose && \\\n    NODE_ENV=production npm run build && \\\n    mkdir -p ../frontend-dist && \\\n    cp -r .next ../frontend-dist/ && \\\n    cp -r public ../frontend-dist/ && \\\n    cp server.js ../frontend-dist/server.js && \\\n    echo '{\\\n  \"name\": \"nexent\",\\\n  \"version\": \"0.1.0\",\\\n  \"private\": true,\\\n  \"scripts\": {\\\n    \"start\": \"NODE_ENV=production HOSTNAME=localhost node server.js\"\\\n  },\\\n  \"dependencies\": {\\\n    \"next\": \"15.5.7\",\\\n    \"react\": \"18.2.0\",\\\n    \"react-dom\": \"18.2.0\",\\\n    \"http-proxy\": \"^1.18.1\",\\\n    \"dotenv\": \"^16.4.7\",\\\n    \"cookie\": \"^1.1.1\"\\\n  }\\\n}' > ../frontend-dist/package.json && \\\n    cd ../frontend-dist && \\\n    if [ -n \"$MIRROR\" ]; then npm config set registry \"$MIRROR\"; fi && \\\n    npm install --verbose --omit=dev --production && \\\n    rm -rf .next/cache\n\n# Production stage\nFROM node:20-alpine\nARG APK_MIRROR\nLABEL authors=\"nexent\"\n\n# Configure Alpine mirrors if specified\nRUN if [ \"$APK_MIRROR\" = \"tsinghua\" ]; then \\\n        echo \"https://mirrors.tuna.tsinghua.edu.cn/alpine/latest-stable/main\" > /etc/apk/repositories && \\\n        echo \"https://mirrors.tuna.tsinghua.edu.cn/alpine/latest-stable/community\" >> /etc/apk/repositories; \\\n    fi\n\n# Update package index, upgrade busybox first, then install curl\n# This avoids trigger script issues in cross-platform builds with QEMU emulation\nRUN apk update && \\\n    apk upgrade --no-cache busybox || true && \\\n    apk add --no-cache --no-scripts curl\n\nWORKDIR /opt/frontend-dist\n\n# Copy only the necessary files from builder\nCOPY --from=builder /opt/frontend-dist .\n\n# Expose the service port\nEXPOSE 3000\n\n# Start the server\nCMD [\"npm\", \"start\"]\n"
  },
  {
    "path": "pathology-ai/README.md",
    "content": "# PathologyAI - 智能病理诊断助手\r\n\r\n**ModeEngine AI 创新应用学习赛 提交材料**\r\n\r\n> 团队：量子工坊\r\n\r\n---\r\n\r\n## 📦 提交材料目录\r\n\r\n```\r\ndocs/\r\n├── README.md                    # 本文档（项目完整介绍）\r\n├── agent-config.md              # 智能体配置说明\r\n├── custom-tools.md              # 15个MCP工具详细说明\r\n├── frontend-improvements.md     # 前端组件改进说明\r\n├── architecture.md              # 架构与调用关系图（Mermaid）\r\n├── diagrams/                    # 架构图（PNG格式）\r\n│   ├── tools_architecture.png   # 工具调用架构图\r\n│   ├── system_architecture.png  # 系统分层架构图\r\n│   ├── cod_process.png          # CoD诊断推理链\r\n│   ├── game_flow.png            # 诊断游戏流程\r\n│   └── dataflow.png             # 数据流向图\r\n└── code-changes/                # 源码文件\r\n    ├── backend/\r\n    │   └── local_mcp_service.py        # 15个MCP工具定义\r\n    ├── frontend/\r\n    │   ├── PathologyImageGallery.tsx   # 新增：病理图片画廊\r\n    │   ├── DiagnosisConfidenceCard.tsx # 新增：置信度卡片\r\n    │   ├── SourceTag.tsx               # 新增：来源标签\r\n    │   ├── MedicalVisualizationPanel.tsx\r\n    │   ├── index.ts\r\n    │   ├── markdownRenderer.tsx        # 修改：按钮解析\r\n    │   ├── chatLeftSidebar.tsx         # 修改：清空对话\r\n    │   └── conversationService.ts      # 修改：批量删除\r\n    ├── medical_extension/\r\n    │   ├── chain_of_diagnosis.py       # CoD实现\r\n    │   ├── confidence_evaluator.py     # 置信度评估\r\n    │   ├── medical_prompts.py\r\n    │   ├── agent_templates.py\r\n    │   ├── api.py\r\n    │   └── test_medical.py\r\n    └── docker/\r\n        └── update_prompt_btn.sql       # Agent提示词SQL\r\n```\r\n\r\n---\r\n\r\n## 🎯 核心功能\r\n\r\n### Chain-of-Diagnosis（CoD）诊断推理框架 ⭐⭐⭐⭐⭐\r\n\r\n首创医学诊断专用的结构化推理框架，包含5个标准化步骤：\r\n\r\n| 步骤 | 名称 | 说明 |\r\n|------|------|------|\r\n| Step 1 | **症状分析** | 全面提取和分类患者症状 |\r\n| Step 2 | **病史关联** | 关联既往病史和家族史 |\r\n| Step 3 | **鉴别诊断** | 列出所有可能的诊断假设 |\r\n| Step 4 | **检查建议** | 建议进一步检查项目 |\r\n| Step 5 | **初步结论** | 综合分析得出最可能诊断 |\r\n\r\n**创新点**：每一步推理过程完全可追溯、可解释，解决了传统AI诊断\"黑盒\"问题。\r\n\r\n### 置信度评估系统\r\n\r\n多维度评估诊断可信度：\r\n\r\n| 维度 | 说明 |\r\n|------|------|\r\n| 证据充分度 | 支持诊断的证据是否充足 |\r\n| 一致性 | 症状与诊断是否一致 |\r\n| 完整性 | 信息是否完整 |\r\n| 确定性 | 诊断的确定程度 |\r\n\r\n**风险等级**：`LOW` / `MEDIUM` / `HIGH` / `CRITICAL`\r\n\r\n### 诊断模拟游戏\r\n\r\n交互式临床问诊练习，通过 `[btn:选项]` 按钮交互：\r\n\r\n```\r\n1.启动 → 2.问诊 → 3.体检 → 4.检查 → 5.诊断\r\n```\r\n\r\n用户扮演医生，AI扮演患者，训练临床思维。\r\n\r\n---\r\n\r\n## 🔧 15个专业MCP工具\r\n\r\n形成完整的病理诊断工具链：\r\n\r\n### 医疗诊断工具（4个）\r\n\r\n| 工具名称 | 功能 |\r\n|----------|------|\r\n| `chain_of_diagnosis` | CoD框架实现，5步结构化诊断 |\r\n| `evaluate_diagnosis_confidence` | 多维度置信度评估 |\r\n| `search_pathology_images` | 病理图片搜索 |\r\n| `generate_medical_guide` | 就医指南生成 |\r\n\r\n### 诊断游戏工具（2个）\r\n\r\n| 工具名称 | 功能 |\r\n|----------|------|\r\n| `start_diagnosis_game` | 启动诊断模拟游戏 |\r\n| `diagnosis_action` | 执行游戏动作（问诊/体检/检查/诊断） |\r\n\r\n### 医学可视化工具（9个）\r\n\r\n| 工具名称 | 功能 |\r\n|----------|------|\r\n| `generate_knowledge_graph` | 医学知识图谱 |\r\n| `generate_diagnosis_flow` | 诊断流程图 |\r\n| `generate_medical_chart` | 统计图表（柱状图/折线图/饼图） |\r\n| `generate_radar_chart` | 雷达图（多维度健康指标） |\r\n| `generate_timeline` | 时间线图（病程发展） |\r\n| `generate_gantt_chart` | 甘特图（治疗计划） |\r\n| `generate_quadrant_chart` | 象限图（风险评估） |\r\n| `generate_state_diagram` | 状态转换图（疾病状态） |\r\n| `generate_sankey_diagram` | 桑基图（流量转换） |\r\n\r\n---\r\n\r\n## 📊 项目数据统计\r\n\r\n### 应用代码规模\r\n\r\n| 项目 | 数量 |\r\n|------|------|\r\n| MCP工具 | 15个完整实现 |\r\n| 前端组件 | 4个新增 + 4个修改 |\r\n| 后端代码 | ~1,400行 |\r\n| 文档 | 5个Markdown文档 |\r\n| 架构图 | 5张 |\r\n\r\n### 系统模型配置\r\n\r\n基于 Nexent v1.7.7 平台：\r\n\r\n| 模型类型 | 模型名称 |\r\n|----------|----------|\r\n| 大语言模型 | Claude 4.5 Haiku |\r\n| 向量模型 | BGE-M3 Embedding |\r\n| 重排模型 | Jina Reranker |\r\n| 多模态向量模型 | BGE-M3 Multi |\r\n| 视觉语言模型 | GPT-4o Vision |\r\n| 语音合成 | OpenAI-TTS-HD |\r\n| 语音识别 | OpenAI-Whisper |\r\n\r\n---\r\n\r\n## 💡 技术创新点\r\n\r\n### 1. Chain-of-Diagnosis框架 ⭐⭐⭐⭐⭐\r\n\r\n**首创医学诊断专用推理框架**\r\n\r\n- 结构化5步诊断流程\r\n- 每步可追溯、可解释\r\n- 多维度置信度评估\r\n- 完整的证据链\r\n\r\n### 2. MCP工具生态系统 ⭐⭐⭐⭐⭐\r\n\r\n**完整的病理诊断工具链**\r\n\r\n- 15个工具覆盖诊断全流程\r\n- 遵循MCP标准协议\r\n- 可独立使用，可组合调用\r\n- 易于扩展到其他医学领域\r\n\r\n### 3. 交互式诊断游戏 ⭐⭐⭐⭐\r\n\r\n**创新的临床思维训练方案**\r\n\r\n- `[btn:选项]` 按钮交互机制\r\n- 完整的问诊→体检→检查→诊断流程\r\n- 实时反馈和评分\r\n- 适合医学教育场景\r\n\r\n### 4. 双重知识检索 ⭐⭐⭐⭐\r\n\r\n**内外部知识融合策略**\r\n\r\n- 内部知识库权重60%（专业准确）\r\n- 外部搜索权重40%（时效补充）\r\n- 自动来源标注 `[内部]` `[外部]`\r\n- 可溯源、可验证\r\n\r\n### 5. 医学可视化工具集 ⭐⭐⭐⭐\r\n\r\n**9种Mermaid图表自动生成**\r\n\r\n- 知识图谱、诊断流程图\r\n- 雷达图、时间线、甘特图\r\n- 象限图、状态图、桑基图\r\n- 前端原生渲染，无需额外依赖\r\n\r\n---\r\n\r\n## 🏗️ 系统架构\r\n\r\n### 分层架构图\r\n\r\n```\r\n┌─────────────────────────────────────────────────────────────┐\r\n│                    前端层 (Frontend)                         │\r\n│         聊天界面 | 医学可视化组件 | 诊断游戏界面              │\r\n└─────────────────────────────┬───────────────────────────────┘\r\n                              │\r\n                              ▼\r\n┌─────────────────────────────────────────────────────────────┐\r\n│                    Nexent Runtime                            │\r\n│              病理学AI助手 (Agent ID: 13)                     │\r\n└─────────────────────────────┬───────────────────────────────┘\r\n                              │\r\n                              ▼\r\n┌─────────────────────────────────────────────────────────────┐\r\n│                    MCP工具层 (15个自定义工具)                 │\r\n│      诊断推理 | 置信度评估 | 诊断游戏 | 9种可视化图表         │\r\n└─────────────────────────────┬───────────────────────────────┘\r\n                              │\r\n                              ▼\r\n┌─────────────────────────────────────────────────────────────┐\r\n│                       数据层                                 │\r\n│        PostgreSQL | Elasticsearch | 病理图片服务器           │\r\n└─────────────────────────────────────────────────────────────┘\r\n```\r\n\r\n### 5.2 工具调用关系图\r\n\r\n```mermaid\r\nflowchart TD\r\n    subgraph User[\"用户\"]\r\n        Q[用户提问]\r\n    end\r\n\r\n    subgraph Agent[\"病理学AI助手 Agent ID:13\"]\r\n        A[接收问题]\r\n        B{判断问题类型}\r\n    end\r\n\r\n    subgraph BuiltIn[\"内置工具\"]\r\n        KB[knowledge_base_search<br/>内部知识库 60%]\r\n        TS[tavily_search<br/>外部搜索 40%]\r\n        AI[analyze_image<br/>图片分析]\r\n    end\r\n\r\n    subgraph Medical[\"医疗诊断工具\"]\r\n        COD[chain_of_diagnosis<br/>5步诊断推理链]\r\n        CONF[evaluate_diagnosis_confidence<br/>置信度评估]\r\n        IMG[search_pathology_images<br/>病理图片搜索]\r\n        GUIDE[generate_medical_guide<br/>就医指南]\r\n    end\r\n\r\n    subgraph Game[\"诊断模拟游戏\"]\r\n        START[start_diagnosis_game]\r\n        ACTION[diagnosis_action]\r\n    end\r\n\r\n    subgraph Visual[\"可视化工具 9个\"]\r\n        VIS[knowledge_graph / diagnosis_flow / medical_chart<br/>radar_chart / timeline / gantt_chart<br/>quadrant_chart / state_diagram / sankey_diagram]\r\n    end\r\n\r\n    Q --> A --> B\r\n    B -->|医学问答| KB\r\n    B -->|医学问答| TS\r\n    B -->|图片分析| AI\r\n    B -->|诊断分析| COD\r\n    B -->|诊断游戏| START\r\n    B -->|可视化| VIS\r\n    B -->|就医咨询| GUIDE\r\n    \r\n    KB --> R[生成回答]\r\n    TS --> R\r\n    AI --> R\r\n    COD --> CONF --> R\r\n    START --> ACTION --> R\r\n    VIS --> R\r\n    IMG --> R\r\n    GUIDE --> R\r\n```\r\n\r\n### 5.3 数据流向\r\n\r\n```mermaid\r\nflowchart LR\r\n    subgraph Input[\"输入\"]\r\n        I1[文本问题]\r\n        I2[病理图片]\r\n        I3[按钮点击]\r\n    end\r\n\r\n    subgraph Process[\"处理\"]\r\n        Agent[AI助手]\r\n        Tools[MCP工具]\r\n        KB[(知识库 60%)]\r\n        Web((互联网 40%))\r\n    end\r\n\r\n    subgraph Output[\"输出\"]\r\n        O1[Markdown文本]\r\n        O2[Mermaid图表]\r\n        O3[病理图片]\r\n        O4[交互按钮]\r\n    end\r\n\r\n    I1 --> Agent\r\n    I2 --> Agent\r\n    I3 --> Agent\r\n    Agent --> Tools\r\n    Tools --> KB\r\n    Tools --> Web\r\n    KB --> O1\r\n    Web --> O1\r\n    Tools --> O2\r\n    Tools --> O3\r\n    Tools --> O4\r\n```\r\n\r\n---\r\n\r\n## 六、前端改进\r\n\r\n### 6.1 新增组件\r\n\r\n| 组件 | 文件 | 功能 |\r\n|------|------|------|\r\n| 病理图片画廊 | `PathologyImageGallery.tsx` | 展示和预览病理图片 |\r\n| 置信度卡片 | `DiagnosisConfidenceCard.tsx` | 显示诊断置信度和风险等级 |\r\n| 来源标签 | `SourceTag.tsx` | 标注信息来源 [内部]/[外部] |\r\n\r\n### 6.2 修改组件\r\n\r\n| 组件 | 修改内容 |\r\n|------|----------|\r\n| `markdownRenderer.tsx` | 新增 `[btn:xxx]` 按钮解析和渲染 |\r\n| `chatLeftSidebar.tsx` | 新增\"清空所有对话\"功能 |\r\n| `conversationService.ts` | 新增 `deleteAll` 批量删除方法 |\r\n| `MedicalVisualizationPanel.tsx` | 去除硬编码，支持通用病理学 |\r\n\r\n---\r\n\r\n## 部署说明\r\n\r\n### 8.1 环境要求\r\n\r\n- Nexent v1.7.7+\r\n- Docker & Docker Compose\r\n- Python 3.10+\r\n- Node.js 18+\r\n\r\n### 8.2 部署步骤\r\n\r\n1. **部署 Nexent 平台**\r\n   ```bash\r\n   docker-compose up -d\r\n   ```\r\n\r\n2. **导入 Agent 配置**\r\n   ```bash\r\n   docker exec -i nexent-postgres psql -U postgres -d nexent < update_prompt_btn.sql\r\n   ```\r\n\r\n3. **配置模型**\r\n   - 在 Nexent 管理界面配置各模型 API\r\n\r\n4. **启动使用**\r\n   - 访问 http://localhost:3000\r\n   - 选择\"病理学AI助手\"开始对话\r\n\r\n---\r\n\r\n## 九、使用示例\r\n\r\n### 9.1 医学问答\r\n\r\n```\r\n用户: HIV感染的诊断标准是什么？\r\nAI: [调用 knowledge_base_search + tavily_search]\r\n    [融合内部60% + 外部40%结果]\r\n    返回诊断标准说明...\r\n```\r\n\r\n### 9.2 诊断推理\r\n\r\n```\r\n用户: 患者发热、淋巴结肿大、皮疹，请分析\r\nAI: [调用 chain_of_diagnosis]\r\n    Step1: 症状分析 - 三联征提示...\r\n    Step2: 病史关联 - ...\r\n    Step3: 鉴别诊断 - ...\r\n    Step4: 检查建议 - ...\r\n    Step5: 初步结论 - ...\r\n    [调用 evaluate_diagnosis_confidence]\r\n    置信度: 85% | 风险等级: MEDIUM\r\n```\r\n\r\n### 9.3 诊断游戏\r\n\r\n```\r\n用户: 开始诊断游戏\r\nAI: [调用 start_diagnosis_game]\r\n    \r\n    🎮 诊断模拟游戏\r\n    难度: 中级 | 病例类型: 感染性疾病\r\n    \r\n    患者信息: 男性，35岁，主诉发热3天...\r\n    \r\n    [btn:询问发热情况] [btn:询问其他症状] [btn:询问既往史]\r\n```\r\n\r\n---\r\n\r\n## 📝 应用价值\r\n\r\n### 医学教育\r\n\r\n- 医学生病理学习辅助\r\n- 住院医师规范化培训\r\n- 在线医学教育平台\r\n- 临床思维训练（诊断游戏）\r\n\r\n### 临床辅助\r\n\r\n- 病理医生诊断辅助决策\r\n- 基层医院诊断能力提升\r\n- 远程病理会诊支持\r\n- 结构化诊断报告生成\r\n\r\n### 科研应用\r\n\r\n- 病理知识图谱构建\r\n- 医学AI研究数据积累\r\n- 诊断算法优化验证\r\n- 可视化数据展示\r\n\r\n### 社会价值\r\n\r\n- 缓解病理医生严重短缺（缺口3万+）\r\n- 提升诊断标准化和准确性\r\n- 推动优质医疗资源下沉\r\n- 降低误诊漏诊风险\r\n\r\n---\r\n\r\n## ⚠️ 安全声明\r\n\r\n**重要提示**：\r\n- 本AI助手仅供学习和参考使用\r\n- 不能替代专业医生的诊断和治疗建议\r\n- 如有健康问题，请及时就医\r\n- 所有诊断建议均需专业医师确认\r\n\r\n---\r\n\r\n## 📄 许可证\r\n\r\nApache License 2.0\r\n\r\n---\r\n\r\n## 👥 贡献者\r\n\r\n**量子工坊团队**\r\n\r\n开放原子基金会 ModeEngine AI 创新应用学习赛\r\n"
  },
  {
    "path": "pathology-ai/agent-config.md",
    "content": "# 🤖 智能体配置说明\r\n\r\n## 智能体基本信息\r\n\r\n| 配置项 | 值 |\r\n|--------|-----|\r\n| **Agent ID** | 13 |\r\n| **名称** | 病理学AI助手 |\r\n| **类型** | 医疗诊断辅助智能体 |\r\n| **基础模型** | GPT-4 / 兼容OpenAI API |\r\n| **max_steps** | 25 |\r\n\r\n## 业务描述\r\n\r\n病理学AI助手具备以下能力：\r\n\r\n1. **医学知识问答** - 回答病理学、临床医学问题\r\n2. **诊断推理** - Chain-of-Diagnosis结构化诊断\r\n3. **置信度评估** - 评估回答可靠性和风险等级\r\n4. **交互式诊断练习** - 模拟游戏训练临床思维\r\n5. **医学可视化** - 知识图谱、流程图生成\r\n\r\n## 工具配置\r\n\r\n| 工具名称 | 来源 | 功能 |\r\n|----------|------|------|\r\n| `knowledge_base_search` | 内置 | 本地知识库搜索 |\r\n| `tavily_search` | 内置 | 外部互联网搜索 |\r\n| `analyze_image` | 内置 | 图片分析 |\r\n| `nexent_chain_of_diagnosis` | **自定义** | CoD诊断推理链 |\r\n| `nexent_evaluate_diagnosis_confidence` | **自定义** | 置信度评估 |\r\n| `nexent_start_diagnosis_game` | **自定义** | 启动诊断游戏 |\r\n| `nexent_diagnosis_action` | **自定义** | 诊断游戏动作 |\r\n| `nexent_search_pathology_images` | **自定义** | 病理图片搜索 |\r\n| `nexent_generate_medical_guide` | **自定义** | 就医指南生成 |\r\n\r\n## Prompt 配置\r\n\r\n### duty_prompt (角色提示词)\r\n\r\n```\r\n# 🏥 病理学AI助手\r\n\r\n你是一位专业的病理学AI助手。\r\n\r\n## ⚠️ 最重要规则\r\n\r\n### 1. 双重检索（必须执行）\r\n回答医学问题前，必须同时调用：\r\n- knowledge_base_search(query=\"关键词\", search_mode=\"hybrid\")\r\n- tavily_search(query=\"关键词\")\r\n\r\n权重：内部60% + 外部40%\r\n\r\n### 2. 按钮格式规则\r\n工具返回的 [btn:xxx] 格式必须原样保留！\r\n\r\n## 🎮 诊断模拟游戏规则\r\n1. 每执行一步后必须停止，等待用户选择\r\n2. 原样输出工具返回的按钮\r\n3. 不要自己做决定\r\n\r\n## 安全提醒\r\n⚠️ 本AI仅供参考，不能替代专业医生诊断。\r\n```\r\n\r\n## 知识库配置\r\n\r\n| 配置项 | 值 |\r\n|--------|-----|\r\n| 知识库名称 | pathology_knowledge |\r\n| 搜索模式 | hybrid |\r\n| 向量数据库 | Elasticsearch |\r\n\r\n## 外部搜索配置\r\n\r\n| 配置项 | 值 |\r\n|--------|-----|\r\n| 搜索引擎 | Tavily |\r\n| 权重 | 40% |\r\n"
  },
  {
    "path": "pathology-ai/architecture.md",
    "content": "# 🏗️ 架构与调用关系图\r\n\r\n## 系统架构概览\r\n\r\n```\r\n┌─────────────────────────────────────────────────────────────────┐\r\n│                         用户界面 (Frontend)                       │\r\n│  ┌─────────────┐  ┌─────────────┐  ┌─────────────────────────┐  │\r\n│  │  聊天界面    │  │ 医学可视化  │  │  诊断模拟游戏界面        │  │\r\n│  └─────────────┘  └─────────────┘  └─────────────────────────┘  │\r\n└────────────────────────────┬────────────────────────────────────┘\r\n                             │\r\n                             ▼\r\n┌─────────────────────────────────────────────────────────────────┐\r\n│                      Nexent Runtime                              │\r\n│  ┌─────────────────────────────────────────────────────────────┐│\r\n│  │              病理学AI助手 (Agent ID: 13)                     ││\r\n│  └─────────────────────────────────────────────────────────────┘│\r\n└────────────────────────────┬────────────────────────────────────┘\r\n                             │\r\n                             ▼\r\n┌─────────────────────────────────────────────────────────────────┐\r\n│                        MCP 工具层                                │\r\n│  ┌──────────────────────┐  ┌──────────────────────────────┐     │\r\n│  │      内置工具         │  │        自定义医疗工具         │     │\r\n│  │  • knowledge_search  │  │  • chain_of_diagnosis        │     │\r\n│  │  • tavily_search     │  │  • evaluate_confidence       │     │\r\n│  │  • analyze_image     │  │  • diagnosis_game            │     │\r\n│  └──────────────────────┘  └──────────────────────────────┘     │\r\n└────────────────────────────┬────────────────────────────────────┘\r\n                             │\r\n                             ▼\r\n┌─────────────────────────────────────────────────────────────────┐\r\n│                        数据层                                    │\r\n│  ┌─────────────┐  ┌─────────────┐  ┌─────────────────────────┐  │\r\n│  │ PostgreSQL  │  │Elasticsearch│  │    病理图片服务器        │  │\r\n│  └─────────────┘  └─────────────┘  └─────────────────────────┘  │\r\n└─────────────────────────────────────────────────────────────────┘\r\n```\r\n\r\n---\r\n\r\n## 工具调用关系图 (Mermaid)\r\n\r\n```mermaid\r\nflowchart TD\r\n    subgraph User[\"👤 用户\"]\r\n        Q[用户提问]\r\n    end\r\n\r\n    subgraph Agent[\"🤖 病理学AI助手 Agent ID:13\"]\r\n        A[接收问题]\r\n        B{判断问题类型}\r\n    end\r\n\r\n    subgraph BuiltIn[\"📦 内置工具\"]\r\n        KB[knowledge_base_search<br/>内部知识库 60%]\r\n        TS[tavily_search<br/>外部搜索 40%]\r\n        AI[analyze_image<br/>图片分析]\r\n    end\r\n\r\n    subgraph Medical[\"🏥 医疗诊断工具\"]\r\n        COD[chain_of_diagnosis<br/>5步诊断推理链]\r\n        CONF[evaluate_diagnosis_confidence<br/>置信度评估]\r\n        IMG[search_pathology_images<br/>病理图片搜索]\r\n        GUIDE[generate_medical_guide<br/>就医指南]\r\n    end\r\n\r\n    subgraph Game[\"🎮 诊断模拟游戏\"]\r\n        START[start_diagnosis_game<br/>启动游戏]\r\n        ACTION[diagnosis_action<br/>问诊/体检/检查/诊断]\r\n    end\r\n\r\n    subgraph Visual[\"📊 医学可视化工具\"]\r\n        KG[generate_knowledge_graph<br/>知识图谱]\r\n        FLOW[generate_diagnosis_flow<br/>诊断流程图]\r\n        CHART[generate_medical_chart<br/>统计图表]\r\n        RADAR[generate_radar_chart<br/>雷达图]\r\n        TL[generate_timeline<br/>时间线]\r\n        GANTT[generate_gantt_chart<br/>甘特图]\r\n        QUAD[generate_quadrant_chart<br/>象限图]\r\n        STATE[generate_state_diagram<br/>状态图]\r\n        SANKEY[generate_sankey_diagram<br/>桑基图]\r\n    end\r\n\r\n    Q --> A\r\n    A --> B\r\n    B -->|医学问答| KB\r\n    B -->|医学问答| TS\r\n    B -->|图片分析| AI\r\n    B -->|诊断分析| COD\r\n    B -->|诊断游戏| START\r\n    B -->|可视化| KG\r\n    B -->|就医咨询| GUIDE\r\n    \r\n    KB --> R[生成回答]\r\n    TS --> R\r\n    AI --> R\r\n    COD --> CONF --> R\r\n    START --> ACTION --> R\r\n    KG --> R\r\n    FLOW --> R\r\n    CHART --> R\r\n    RADAR --> R\r\n    TL --> R\r\n    GANTT --> R\r\n    QUAD --> R\r\n    STATE --> R\r\n    SANKEY --> R\r\n    IMG --> R\r\n    GUIDE --> R\r\n```\r\n\r\n---\r\n\r\n## 完整工具调用流程图\r\n\r\n```mermaid\r\nflowchart LR\r\n    subgraph Input[\"输入\"]\r\n        U[用户问题]\r\n    end\r\n\r\n    subgraph Process[\"处理流程\"]\r\n        U --> Agent[病理学AI助手]\r\n        Agent --> Parse{解析意图}\r\n        \r\n        Parse -->|知识查询| Search[\"双重检索\"]\r\n        Parse -->|诊断请求| Diag[\"诊断分析\"]\r\n        Parse -->|游戏请求| Game[\"诊断游戏\"]\r\n        Parse -->|可视化| Viz[\"图表生成\"]\r\n        Parse -->|就医咨询| Guide[\"就医指南\"]\r\n        \r\n        Search --> KB[内部知识库]\r\n        Search --> Web[外部搜索]\r\n        \r\n        Diag --> CoD[CoD推理链]\r\n        CoD --> Eval[置信度评估]\r\n        \r\n        Game --> Start[启动游戏]\r\n        Start --> Action[执行动作]\r\n        \r\n        Viz --> Charts[9种图表工具]\r\n    end\r\n\r\n    subgraph Output[\"输出\"]\r\n        KB --> Merge[结果融合]\r\n        Web --> Merge\r\n        Eval --> Merge\r\n        Action --> Merge\r\n        Charts --> Merge\r\n        Guide --> Merge\r\n        Merge --> Response[AI回答]\r\n    end\r\n```\r\n\r\n---\r\n\r\n## 诊断游戏流程图\r\n\r\n```mermaid\r\nflowchart LR\r\n    A[启动游戏] --> B[问诊阶段]\r\n    B --> C[体格检查]\r\n    C --> D[辅助检查]\r\n    D --> E[给出诊断]\r\n    E --> F[评分反馈]\r\n```\r\n\r\n---\r\n\r\n## Chain-of-Diagnosis 流程\r\n\r\n```mermaid\r\nflowchart TD\r\n    INPUT[输入症状] --> S1[Step1: 症状分析]\r\n    S1 --> S2[Step2: 病史关联]\r\n    S2 --> S3[Step3: 鉴别诊断]\r\n    S3 --> S4[Step4: 检查建议]\r\n    S4 --> S5[Step5: 初步结论]\r\n    S5 --> EVAL[置信度评估]\r\n    EVAL --> OUTPUT[诊断报告]\r\n```\r\n\r\n---\r\n\r\n## 前端组件调用关系\r\n\r\n```mermaid\r\nflowchart TD\r\n    subgraph Chat[\"聊天界面\"]\r\n        CI[chatInterface.tsx]\r\n        MD[markdownRenderer.tsx]\r\n    end\r\n\r\n    subgraph MedViz[\"医学可视化组件\"]\r\n        MVP[MedicalVisualizationPanel]\r\n        PIG[PathologyImageGallery]\r\n        DCC[DiagnosisConfidenceCard]\r\n        ST[SourceTag]\r\n    end\r\n\r\n    subgraph Services[\"服务层\"]\r\n        CS[conversationService.ts]\r\n    end\r\n\r\n    CI --> MD\r\n    MD -->|渲染Mermaid| MVP\r\n    MD -->|渲染图片| PIG\r\n    MD -->|渲染置信度| DCC\r\n    MD -->|渲染来源| ST\r\n    MD -->|[btn:xx]按钮| BTN[ClickableOption]\r\n    \r\n    CI --> CS\r\n    CS -->|deleteAll| API[后端API]\r\n```\r\n\r\n---\r\n\r\n## MCP工具注册关系\r\n\r\n```mermaid\r\nflowchart TD\r\n    subgraph MCP[\"FastMCP框架\"]\r\n        LMS[local_mcp_service.py]\r\n    end\r\n\r\n    subgraph Decorator[\"@local_mcp_service.tool 装饰器\"]\r\n        D1[医疗诊断工具 x4]\r\n        D2[诊断游戏工具 x2]\r\n        D3[可视化工具 x9]\r\n    end\r\n\r\n    subgraph Runtime[\"Nexent Runtime\"]\r\n        Agent[病理学AI助手]\r\n    end\r\n\r\n    LMS --> D1\r\n    LMS --> D2\r\n    LMS --> D3\r\n    \r\n    D1 --> Agent\r\n    D2 --> Agent\r\n    D3 --> Agent\r\n```\r\n\r\n---\r\n\r\n## 数据流向图\r\n\r\n```mermaid\r\nflowchart LR\r\n    subgraph Input[\"用户输入\"]\r\n        Text[文本问题]\r\n        Image[病理图片]\r\n        Click[按钮点击]\r\n    end\r\n\r\n    subgraph Process[\"Agent处理\"]\r\n        Text --> Agent[病理学AI助手]\r\n        Image --> Agent\r\n        Click --> Agent\r\n        \r\n        Agent --> Tools[MCP工具]\r\n        Tools --> KB[(知识库)]\r\n        Tools --> Web((互联网))\r\n        Tools --> ImgDB[(图片库)]\r\n    end\r\n\r\n    subgraph Output[\"输出\"]\r\n        KB --> Response\r\n        Web --> Response\r\n        ImgDB --> Response\r\n        Response[AI回答] --> Render[前端渲染]\r\n        Render --> Markdown[文本/表格]\r\n        Render --> Mermaid[图表]\r\n        Render --> Images[图片]\r\n        Render --> Buttons[交互按钮]\r\n    end\r\n```\r\n\r\n---\r\n\r\n## 文件修改清单\r\n\r\n### 后端修改\r\n\r\n| 文件 | 类型 | 说明 |\r\n|------|------|------|\r\n| `backend/tool_collection/mcp/local_mcp_service.py` | 新增 | 15个医疗MCP工具 |\r\n\r\n### 前端修改\r\n\r\n| 文件 | 类型 | 说明 |\r\n|------|------|------|\r\n| `frontend/components/medical-visualization/PathologyImageGallery.tsx` | 新增 | 病理图片画廊 |\r\n| `frontend/components/medical-visualization/DiagnosisConfidenceCard.tsx` | 新增 | 置信度卡片 |\r\n| `frontend/components/medical-visualization/SourceTag.tsx` | 新增 | 来源标签 |\r\n| `frontend/components/medical-visualization/MedicalVisualizationPanel.tsx` | 修改 | 去除硬编码 |\r\n| `frontend/components/ui/markdownRenderer.tsx` | 修改 | [btn:xx]按钮解析 |\r\n| `frontend/app/[locale]/chat/components/chatLeftSidebar.tsx` | 修改 | 清空对话按钮 |\r\n| `frontend/services/conversationService.ts` | 修改 | deleteAll方法 |\r\n\r\n### 配置文件\r\n\r\n| 文件 | 说明 |\r\n|------|------|\r\n| `docker/update_prompt_btn.sql` | Agent提示词配置 |\r\n"
  },
  {
    "path": "pathology-ai/code-changes/backend/local_mcp_service.py",
    "content": "from fastmcp import FastMCP\nimport json\nimport re\nfrom typing import Optional, List, Dict\nfrom dataclasses import dataclass, field\nfrom enum import Enum\n\n# Create MCP server\nlocal_mcp_service = FastMCP(\"nexent\")\n\n# ============ Medical Extension Classes ============\n\nclass ConfidenceLevel(Enum):\n    \"\"\"置信度等级\"\"\"\n    HIGH = \"HIGH\"        # >85% 高置信度\n    MEDIUM = \"MEDIUM\"    # 60-85% 中等置信度\n    LOW = \"LOW\"          # <60% 低置信度\n    UNCERTAIN = \"UNCERTAIN\"  # 不确定\n\nclass RiskLevel(Enum):\n    \"\"\"风险等级\"\"\"\n    CRITICAL = \"critical\"\n    HIGH = \"high\"\n    MEDIUM = \"medium\"\n    LOW = \"low\"\n\n@local_mcp_service.tool(name=\"test_tool_name\",\n                        description=\"test_tool_description\")\nasync def demo_tool(para_1: str, para_2: int) -> str:\n    print(\"tool is called successfully\")\n    print(para_1, para_2)\n    return \"success\"\n\n\n# ============ Medical Visualization Tools (Dynamic Generation) ============\n\n@local_mcp_service.tool(\n    name=\"generate_knowledge_graph\",\n    description=\"\"\"生成医学知识图谱(Mermaid flowchart格式)。\n    \n参数说明:\n- topic: 图谱主题\n- nodes: 节点列表，用|分隔，格式为\"节点1|节点2|节点3\"\n- relations: 关系列表，用|分隔，格式为\"节点1-->节点2|节点2-->节点3\"\n\n使用方法: 先用知识库搜索获取相关概念，然后提取关键概念作为nodes，概念间的关系作为relations传入此工具。\"\"\"\n)\nasync def generate_knowledge_graph(topic: str, nodes: str = \"\", relations: str = \"\") -> str:\n    \"\"\"Generate dynamic knowledge graph based on provided nodes and relations\"\"\"\n    \n    # Parse nodes and relations\n    node_list = [n.strip() for n in nodes.split(\"|\") if n.strip()] if nodes else []\n    relation_list = [r.strip() for r in relations.split(\"|\") if r.strip()] if relations else []\n    \n    # If no nodes provided, return instruction\n    if not node_list:\n        return f\"\"\"请先使用知识库搜索获取关于\"{topic}\"的相关信息，然后提取关键概念和关系，再调用此工具。\n\n示例调用:\ngenerate_knowledge_graph(\n    topic=\"HIV感染机制\",\n    nodes=\"HIV病毒|CD4细胞|免疫系统|病毒复制|机会性感染\",\n    relations=\"HIV病毒-->CD4细胞|CD4细胞-->免疫系统|HIV病毒-->病毒复制|免疫系统-->机会性感染\"\n)\"\"\"\n    \n    # Create node map\n    node_map = {node: f\"N{i}\" for i, node in enumerate(node_list)}\n    \n    # Parse relations and find root nodes (nodes that are sources but not targets)\n    sources = set()\n    targets = set()\n    parsed_relations = []\n    for rel in relation_list:\n        if \"-->\" in rel:\n            parts = rel.split(\"-->\")\n            if len(parts) == 2:\n                src, tgt = parts[0].strip(), parts[1].strip()\n                if src in node_map and tgt in node_map:\n                    sources.add(src)\n                    targets.add(tgt)\n                    parsed_relations.append((src, tgt))\n    \n    # Group nodes by level (simple BFS-like grouping)\n    root_nodes = [n for n in node_list if n in sources and n not in targets]\n    if not root_nodes:\n        root_nodes = [node_list[0]] if node_list else []\n    \n    # Build hierarchical layout using subgraphs\n    lines = [\"flowchart TB\"]\n    \n    # Add all nodes with rounded rectangle style\n    for i, node in enumerate(node_list):\n        node_id = node_map[node]\n        lines.append(f'    {node_id}([\"{node}\"])')\n    \n    # Add relations with labels\n    for src, tgt in parsed_relations:\n        lines.append(f\"    {node_map[src]} --> {node_map[tgt]}\")\n    \n    # Add gradient colors for better visual\n    gradient_colors = [\n        \"#667eea\", \"#764ba2\", \"#f093fb\", \"#f5576c\", \n        \"#4facfe\", \"#00f2fe\", \"#43e97b\", \"#38f9d7\",\n        \"#fa709a\", \"#fee140\", \"#a8edea\", \"#fed6e3\"\n    ]\n    for i, node in enumerate(node_list):\n        color = gradient_colors[i % len(gradient_colors)]\n        lines.append(f\"    style {node_map[node]} fill:{color},color:#fff,stroke:{color},stroke-width:2px\")\n    \n    # Add link styles\n    lines.append(\"    linkStyle default stroke:#666,stroke-width:2px\")\n    \n    mermaid_code = f'''```mermaid\n{chr(10).join(lines)}\n```'''\n    \n    return mermaid_code\n\n\n@local_mcp_service.tool(\n    name=\"generate_diagnosis_flow\",\n    description=\"\"\"生成诊断流程图(Mermaid flowchart格式)。\n\n参数说明:\n- disease: 疾病名称\n- steps: 流程步骤列表，用|分隔，格式为\"步骤1|步骤2|步骤3\"\n- decisions: 决策点列表，用|分隔，格式为\"决策1:是选项,否选项|决策2:选项A,选项B\"\n\n使用方法: 根据知识库搜索结果，提取诊断流程的关键步骤和决策点。\"\"\"\n)\nasync def generate_diagnosis_flow(disease: str, steps: str = \"\", decisions: str = \"\") -> str:\n    \"\"\"Generate compact horizontal diagnosis flowchart\"\"\"\n    \n    step_list = [s.strip() for s in steps.split(\"|\") if s.strip()] if steps else []\n    \n    if not step_list:\n        return f\"\"\"请搜索\"{disease}\"诊断流程，提取关键步骤。\n示例: steps=\"初筛|确证|检测|治疗\" \"\"\"\n    \n    # Horizontal layout (left to right) - reduces height\n    lines = [\"flowchart LR\"]\n    \n    # Full node names, horizontal flow\n    for i, step in enumerate(step_list):\n        node_id = f\"S{i}\"\n        \n        if i == 0:\n            lines.append(f'    {node_id}((\"{step}\"))')\n        elif i == len(step_list) - 1:\n            lines.append(f'    {node_id}((\"{step}\"))')\n        else:\n            lines.append(f'    {node_id}[\"{step}\"]')\n    \n    # Connect all nodes\n    node_chain = \" --> \".join([f\"S{i}\" for i in range(len(step_list))])\n    lines.append(f\"    {node_chain}\")\n    \n    # Gradient colors\n    colors = [\"#6366f1\", \"#8b5cf6\", \"#a855f7\", \"#ec4899\", \"#f43f5e\", \"#f97316\", \"#22c55e\"]\n    for i in range(len(step_list)):\n        color = colors[i % len(colors)]\n        lines.append(f\"    style S{i} fill:{color},color:#fff,stroke:#fff\")\n    \n    mermaid_code = f'''```mermaid\n{chr(10).join(lines)}\n```'''\n    \n    return mermaid_code\n\n\n@local_mcp_service.tool(\n    name=\"generate_medical_chart\",\n    description=\"\"\"生成统计图表(Mermaid格式)。\n\n参数说明:\n- chart_type: 图表类型 - pie(饼图), bar(柱状图), line(折线图)\n- title: 图表标题\n- labels: 标签列表，用|分隔，如\"类别1|类别2|类别3\"\n- values: 数值列表，用|分隔，如\"30|25|45\"\n\n使用方法: 根据数据分析结果，提取分类和数值传入此工具。\"\"\"\n)\nasync def generate_medical_chart(chart_type: str, title: str, labels: str = \"\", values: str = \"\") -> str:\n    \"\"\"Generate dynamic statistics chart\"\"\"\n    \n    label_list = [l.strip() for l in labels.split(\"|\") if l.strip()] if labels else []\n    value_list = [v.strip() for v in values.split(\"|\") if v.strip()] if values else []\n    \n    if not label_list or not value_list:\n        return f\"\"\"请提供数据的标签和数值。\n\n示例调用:\ngenerate_medical_chart(\n    chart_type=\"pie\",\n    title=\"知识分类分布\",\n    labels=\"病理机制|临床表现|诊断检测|治疗方案\",\n    values=\"35|25|20|20\"\n)\"\"\"\n    \n    if chart_type == \"pie\":\n        pie_data = \"\\n\".join([f'    \"{label}\" : {value}' for label, value in zip(label_list, value_list)])\n        mermaid_code = f'''```mermaid\npie showData title {title}\n{pie_data}\n```'''\n    elif chart_type == \"bar\":\n        mermaid_code = f'''```mermaid\nxychart-beta\n    title \"{title}\"\n    x-axis [{\", \".join(label_list)}]\n    y-axis \"数量\" 0 --> {int(max([int(v) for v in value_list]) * 1.2)}\n    bar [{\", \".join(value_list)}]\n```'''\n    elif chart_type == \"line\":\n        mermaid_code = f'''```mermaid\nxychart-beta\n    title \"{title}\"\n    x-axis [{\", \".join(label_list)}]\n    y-axis \"数值\" 0 --> {int(max([int(v) for v in value_list]) * 1.2)}\n    line [{\", \".join(value_list)}]\n```'''\n    else:\n        mermaid_code = f\"不支持的图表类型: {chart_type}。请使用 pie, bar, 或 line\"\n    \n    return mermaid_code\n\n\n# ============ Advanced Medical Visualization Tools ============\n\n@local_mcp_service.tool(\n    name=\"generate_radar_chart\",\n    description=\"\"\"生成雷达图/蛛网图，用于多维度健康指标对比分析。\n\n参数说明:\n- title: 图表标题\n- dimensions: 维度列表，用|分隔，如\"指标1|指标2|指标3|指标4|指标5\"\n- values: 数值列表(0-100)，用|分隔，如\"80|65|90|75|85\"\n- benchmark: 可选，基准值列表，用于对比\n\n应用场景: 健康评估、症状严重程度评分、治疗效果多维对比\"\"\"\n)\nasync def generate_radar_chart(title: str, dimensions: str = \"\", values: str = \"\", benchmark: str = \"\") -> str:\n    \"\"\"Generate radar/spider chart for multi-dimensional comparison\"\"\"\n    \n    dim_list = [d.strip() for d in dimensions.split(\"|\") if d.strip()] if dimensions else []\n    val_list = [v.strip() for v in values.split(\"|\") if v.strip()] if values else []\n    \n    if not dim_list or not val_list or len(dim_list) < 3:\n        return f\"\"\"雷达图需要至少3个维度。\n\n示例调用:\ngenerate_radar_chart(\n    title=\"HIV患者健康评估\",\n    dimensions=\"免疫功能|病毒载量|肝功能|肾功能|心血管|神经系统\",\n    values=\"75|60|85|90|80|70\"\n)\"\"\"\n    \n    # 使用quadrantChart模拟雷达图效果，或用表格+描述替代\n    # Mermaid暂不直接支持雷达图，用可视化描述+数据表格代替\n    \n    # 生成数据可视化表格\n    table_rows = []\n    for dim, val in zip(dim_list, val_list):\n        val_int = int(val) if val.isdigit() else 50\n        bar = \"█\" * (val_int // 10) + \"░\" * (10 - val_int // 10)\n        status = \"🟢\" if val_int >= 80 else \"🟡\" if val_int >= 60 else \"🔴\"\n        table_rows.append(f\"| {dim} | {bar} | {val}% | {status} |\")\n    \n    result = f\"\"\"### 📊 {title}\n\n| 评估维度 | 指标条形图 | 数值 | 状态 |\n|---------|-----------|------|------|\n{chr(10).join(table_rows)}\n\n**评估说明:** 🟢优秀(≥80) 🟡良好(60-79) 🔴需关注(<60)\n\n```mermaid\npie showData title {title}\n{chr(10).join([f'    \"{dim}\" : {val}' for dim, val in zip(dim_list, val_list)])}\n```\"\"\"\n    \n    return result\n\n\n@local_mcp_service.tool(\n    name=\"generate_medical_guide\",\n    description=\"\"\"生成清晰的就医指南，包含就医方式选择和就医流程。\n\n参数说明:\n- condition: 病情描述(如\"HIV患者呼吸困难\")\n- urgency: 紧急程度(emergency/urgent/routine)\n- patient_info: 患者关键信息(如\"CD4计数150\")\n\n返回格式化的就医指南，包含多种就医方式和详细流程。\"\"\"\n)\nasync def generate_medical_guide(condition: str, urgency: str = \"urgent\", patient_info: str = \"\") -> str:\n    \"\"\"Generate formatted medical guide\"\"\"\n    \n    urgency_map = {\n        \"emergency\": (\"🚨 紧急\", \"立即拨打120\"),\n        \"urgent\": (\"⚠️ 紧急\", \"尽快就医\"),\n        \"routine\": (\"📋 常规\", \"预约就诊\"),\n    }\n    \n    urgency_label, urgency_action = urgency_map.get(urgency, (\"⚠️ 紧急\", \"尽快就医\"))\n    \n    guide = f\"\"\"# 🏥 就医指南\n\n## 📋 病情概述\n- **症状**: {condition}\n- **患者信息**: {patient_info if patient_info else \"未提供\"}\n- **紧急程度**: {urgency_label}\n\n---\n\n## 🚗 就医方式选择\n\n### 方式1: 拨打120 {\"✅ 推荐\" if urgency == \"emergency\" else \"\"}\n\n| 步骤 | 操作 |\n|------|------|\n| 1️⃣ | 拨打120急救电话 |\n| 2️⃣ | 告知: {condition}，{patient_info if patient_info else \"病情紧急\"} |\n| 3️⃣ | 告知当前位置，等待救护车 |\n| 4️⃣ | 由医护人员送往医院 |\n\n### 方式2: 自行前往医院 {\"✅ 推荐\" if urgency == \"urgent\" else \"\"}\n\n| 步骤 | 操作 |\n|------|------|\n| 1️⃣ | 选择最近的三甲医院 |\n| 2️⃣ | 电话或微信预约挂号(急诊) |\n| 3️⃣ | 由家属陪同前往 |\n| 4️⃣ | 直接进入急诊科 |\n\n### 方式3: 拨打医院急诊科\n\n| 步骤 | 操作 |\n|------|------|\n| 1️⃣ | 拨打目标医院总机 |\n| 2️⃣ | 转接急诊科说明病情 |\n| 3️⃣ | 按指导前往医院 |\n\n---\n\n## 🏥 到院后流程\n\n```mermaid\nflowchart LR\n    A[到达医院] --> B[挂号/急诊登记]\n    B --> C[初诊评估]\n    C --> D[体格检查]\n    D --> E[辅助检查]\n    E --> F[诊断确认]\n    F --> G[治疗方案]\n    G --> H[住院/出院]\n```\n\n### 详细步骤\n\n| 序号 | 环节 | 具体内容 |\n|------|------|----------|\n| 1 | **登记** | 挂号/急诊登记，说明{condition} |\n| 2 | **初诊** | 医生问诊，测量生命体征 |\n| 3 | **体检** | 听诊肺部等体格检查 |\n| 4 | **检查** | 胸部X光/CT、血液检查、血气分析 |\n| 5 | **诊断** | 等待结果(通常24-48小时) |\n| 6 | **治疗** | 制定方案，开始治疗 |\n| 7 | **监测** | 监测疗效和不良反应 |\n\n---\n\n## ⚠️ 注意事项\n\n- 携带身份证、医保卡\n- 携带既往病历和检查报告\n- 如有HIV相关资料请一并携带\n- 保持通讯畅通\n\n> 💡 **提示**: {urgency_action}，不要延误治疗时机\n\"\"\"\n    \n    return guide\n\n\n@local_mcp_service.tool(\n    name=\"generate_timeline\",\n    description=\"\"\"生成时间线图，用于展示疾病发展历程或治疗计划。\n\n参数说明:\n- title: 时间线标题\n- events: 事件列表，用|分隔，格式为\"时间点:事件描述|时间点:事件描述\"\n\n应用场景: 病程发展、治疗时间线、随访计划\"\"\"\n)\nasync def generate_timeline(title: str, events: str = \"\") -> str:\n    \"\"\"Generate timeline diagram\"\"\"\n    \n    event_list = [e.strip() for e in events.split(\"|\") if e.strip()] if events else []\n    \n    if not event_list:\n        return f\"\"\"请提供时间线事件。\n\n示例调用:\ngenerate_timeline(\n    title=\"HIV感染自然病程\",\n    events=\"感染期:HIV病毒侵入|急性期:病毒快速复制|潜伏期:免疫平衡|AIDS期:免疫崩溃\"\n)\"\"\"\n    \n    lines = [\"timeline\", f\"    title {title}\"]\n    \n    for event in event_list:\n        if \":\" in event:\n            time_point, description = event.split(\":\", 1)\n            lines.append(f\"    {time_point.strip()}\")\n            lines.append(f\"        : {description.strip()}\")\n        else:\n            lines.append(f\"    {event}\")\n    \n    mermaid_code = f'''```mermaid\n{chr(10).join(lines)}\n```'''\n    \n    return mermaid_code\n\n\n@local_mcp_service.tool(\n    name=\"generate_gantt_chart\",\n    description=\"\"\"生成甘特图，用于治疗计划和疗程安排。\n\n参数说明:\n- title: 图表标题\n- tasks: 任务列表，用|分隔，格式为\"任务名:开始日期,持续天数|任务名:开始日期,持续天数\"\n\n应用场景: 治疗方案安排、康复计划、随访时间表\"\"\"\n)\nasync def generate_gantt_chart(title: str, tasks: str = \"\") -> str:\n    \"\"\"Generate Gantt chart for treatment planning\"\"\"\n    \n    task_list = [t.strip() for t in tasks.split(\"|\") if t.strip()] if tasks else []\n    \n    if not task_list:\n        return f\"\"\"请提供治疗任务安排。\n\n示例调用:\ngenerate_gantt_chart(\n    title=\"HIV抗病毒治疗计划\",\n    tasks=\"初始评估:2024-01-01,7d|药物启动:2024-01-08,30d|首次复查:2024-02-07,1d|稳定期治疗:2024-02-08,90d\"\n)\"\"\"\n    \n    lines = [\n        \"gantt\",\n        f\"    title {title}\",\n        \"    dateFormat YYYY-MM-DD\",\n        \"    section 治疗阶段\"\n    ]\n    \n    for i, task in enumerate(task_list):\n        if \":\" in task:\n            task_name, timing = task.split(\":\", 1)\n            if \",\" in timing:\n                start_date, duration = timing.split(\",\", 1)\n                lines.append(f\"    {task_name.strip()} : t{i}, {start_date.strip()}, {duration.strip()}\")\n            else:\n                lines.append(f\"    {task_name.strip()} : t{i}, {timing.strip()}\")\n        else:\n            lines.append(f\"    {task} : t{i}, 7d\")\n    \n    mermaid_code = f'''```mermaid\n{chr(10).join(lines)}\n```'''\n    \n    return mermaid_code\n\n\n@local_mcp_service.tool(\n    name=\"generate_quadrant_chart\",\n    description=\"\"\"生成象限图，用于风险评估和优先级分析。\n\n参数说明:\n- title: 图表标题\n- x_axis: X轴标签(低到高)\n- y_axis: Y轴标签(低到高)\n- items: 项目列表，格式为\"项目名:x坐标,y坐标|项目名:x坐标,y坐标\" (坐标范围0-1)\n\n应用场景: 疾病风险评估、治疗优先级、药物选择矩阵\"\"\"\n)\nasync def generate_quadrant_chart(title: str, x_axis: str = \"紧急程度\", y_axis: str = \"重要程度\", items: str = \"\") -> str:\n    \"\"\"Generate quadrant chart for risk assessment\"\"\"\n    \n    item_list = [i.strip() for i in items.split(\"|\") if i.strip()] if items else []\n    \n    if not item_list:\n        return f\"\"\"请提供评估项目。\n\n示例调用:\ngenerate_quadrant_chart(\n    title=\"HIV并发症处理优先级\",\n    x_axis=\"紧急程度\",\n    y_axis=\"严重程度\",\n    items=\"机会性感染:0.9,0.85|肝功能异常:0.6,0.7|皮疹反应:0.4,0.3|轻度贫血:0.2,0.4\"\n)\"\"\"\n    \n    lines = [\n        \"quadrantChart\",\n        f\"    title {title}\",\n        f'    x-axis \"低{x_axis}\" --> \"高{x_axis}\"',\n        f'    y-axis \"低{y_axis}\" --> \"高{y_axis}\"',\n        '    quadrant-1 \"紧急重要\"',\n        '    quadrant-2 \"重要不紧急\"',\n        '    quadrant-3 \"不重要不紧急\"',\n        '    quadrant-4 \"紧急不重要\"'\n    ]\n    \n    for item in item_list:\n        if \":\" in item:\n            name, coords = item.split(\":\", 1)\n            if \",\" in coords:\n                x, y = coords.split(\",\", 1)\n                lines.append(f'    \"{name.strip()}\": [{x.strip()}, {y.strip()}]')\n    \n    mermaid_code = f'''```mermaid\n{chr(10).join(lines)}\n```'''\n    \n    return mermaid_code\n\n\n@local_mcp_service.tool(\n    name=\"generate_state_diagram\",\n    description=\"\"\"生成状态转换图，用于展示疾病状态变化。\n\n参数说明:\n- title: 图表标题\n- states: 状态列表，用|分隔\n- transitions: 转换列表，格式为\"状态1-->状态2:触发条件|状态2-->状态3:触发条件\"\n\n应用场景: 疾病分期、病情演变、治疗响应状态\"\"\"\n)\nasync def generate_state_diagram(title: str, states: str = \"\", transitions: str = \"\") -> str:\n    \"\"\"Generate state diagram for disease progression\"\"\"\n    \n    state_list = [s.strip() for s in states.split(\"|\") if s.strip()] if states else []\n    trans_list = [t.strip() for t in transitions.split(\"|\") if t.strip()] if transitions else []\n    \n    if not state_list or not trans_list:\n        return f\"\"\"请提供状态和转换关系。\n\n示例调用:\ngenerate_state_diagram(\n    title=\"HIV感染分期\",\n    states=\"健康|急性感染|临床潜伏期|AIDS期\",\n    transitions=\"健康-->急性感染:HIV暴露|急性感染-->临床潜伏期:免疫应答|临床潜伏期-->AIDS期:CD4<200\"\n)\"\"\"\n    \n    lines = [\"stateDiagram-v2\"]\n    \n    # Add state descriptions\n    state_map = {s: f\"s{i}\" for i, s in enumerate(state_list)}\n    for state, sid in state_map.items():\n        lines.append(f'    {sid} : {state}')\n    \n    # Add transitions\n    for trans in trans_list:\n        if \"-->\" in trans:\n            parts = trans.split(\"-->\")\n            if len(parts) == 2:\n                src = parts[0].strip()\n                tgt_label = parts[1]\n                if \":\" in tgt_label:\n                    tgt, label = tgt_label.split(\":\", 1)\n                    tgt = tgt.strip()\n                    if src in state_map and tgt in state_map:\n                        lines.append(f'    {state_map[src]} --> {state_map[tgt]} : {label.strip()}')\n                else:\n                    tgt = tgt_label.strip()\n                    if src in state_map and tgt in state_map:\n                        lines.append(f'    {state_map[src]} --> {state_map[tgt]}')\n    \n    # Mark start and end\n    if state_list:\n        lines.insert(1, f'    [*] --> {state_map[state_list[0]]}')\n        lines.append(f'    {state_map[state_list[-1]]} --> [*]')\n    \n    mermaid_code = f'''```mermaid\n{chr(10).join(lines)}\n```'''\n    \n    return mermaid_code\n\n\n@local_mcp_service.tool(\n    name=\"generate_sankey_diagram\",\n    description=\"\"\"生成桑基图，用于展示流量和转换关系。\n\n参数说明:\n- title: 图表标题\n- flows: 流向列表，格式为\"源,目标,数量|源,目标,数量\"\n\n应用场景: 诊断分流、患者转归、治疗路径\"\"\"\n)\nasync def generate_sankey_diagram(title: str, flows: str = \"\") -> str:\n    \"\"\"Generate Sankey diagram for flow visualization\"\"\"\n    \n    flow_list = [f.strip() for f in flows.split(\"|\") if f.strip()] if flows else []\n    \n    if not flow_list:\n        return f\"\"\"请提供流向数据。\n\n示例调用:\ngenerate_sankey_diagram(\n    title=\"HIV筛查诊断流程\",\n    flows=\"初筛人群,阳性,150|初筛人群,阴性,850|阳性,确证阳性,140|阳性,假阳性,10|确证阳性,入组治疗,130|确证阳性,暂缓治疗,10\"\n)\"\"\"\n    \n    lines = [\"sankey-beta\", \"\"]\n    \n    for flow in flow_list:\n        parts = flow.split(\",\")\n        if len(parts) >= 3:\n            src, tgt, val = parts[0].strip(), parts[1].strip(), parts[2].strip()\n            lines.append(f'{src},{tgt},{val}')\n    \n    mermaid_code = f'''```mermaid\n{chr(10).join(lines)}\n```\n\n**{title}** - 流向分析图'''\n    \n    return mermaid_code\n\n\n# ============ 诊断模拟器 - 医学教育游戏化 ============\n\nimport random\n\n# 预设病例库\nCASE_LIBRARY = {\n    \"hiv_basic\": {\n        \"patient\": \"李先生，32岁，已婚\",\n        \"chief_complaint\": \"反复发热、乏力1个月\",\n        \"history\": {\n            \"发热情况\": \"低热为主，体温37.5-38.2℃，午后明显\",\n            \"其他症状\": \"明显乏力，体重下降约5kg\",\n            \"既往史\": \"既往体健，无慢性病史\",\n            \"接触史\": \"3个月前有不洁性行为史\",\n            \"用药情况\": \"自行服用退烧药，效果不佳\"\n        },\n        \"physical_exam\": {\n            \"一般情况\": \"神志清楚，精神欠佳，消瘦\",\n            \"淋巴结\": \"颈部、腋窝淋巴结肿大，无压痛\",\n            \"口腔\": \"可见口腔白斑\",\n            \"皮肤\": \"无皮疹\"\n        },\n        \"lab_tests\": {\n            \"血常规\": \"WBC 3.2×10^9/L↓，淋巴细胞比例降低\",\n            \"HIV抗体初筛\": \"阳性\",\n            \"HIV确证试验\": \"阳性\",\n            \"CD4计数\": \"186个/μL↓↓\",\n            \"病毒载量\": \"125,000 copies/mL\"\n        },\n        \"diagnosis\": \"HIV感染/AIDS期\",\n        \"difficulty\": 1,\n        \"key_points\": [\"接触史询问\", \"淋巴结检查\", \"HIV筛查\", \"CD4计数\"]\n    },\n    \"hiv_opportunistic\": {\n        \"patient\": \"王女士，45岁\",\n        \"chief_complaint\": \"咳嗽、气促2周，加重3天\",\n        \"history\": {\n            \"呼吸症状\": \"干咳为主，活动后气促明显\",\n            \"发热情况\": \"持续低热，夜间盗汗\",\n            \"既往史\": \"HIV感染史5年，未规律服药\",\n            \"用药情况\": \"间断服用抗病毒药物\"\n        },\n        \"physical_exam\": {\n            \"一般情况\": \"呼吸急促，口唇轻度发绀\",\n            \"肺部\": \"双肺呼吸音粗，可闻及少量湿啰音\",\n            \"口腔\": \"舌面白色斑块，可刮除\"\n        },\n        \"lab_tests\": {\n            \"血气分析\": \"PaO2 58mmHg↓\",\n            \"CD4计数\": \"45个/μL↓↓↓\",\n            \"胸部CT\": \"双肺弥漫性磨玻璃影\",\n            \"痰检\": \"六胺银染色见肺孢子菌\"\n        },\n        \"diagnosis\": \"AIDS合并肺孢子菌肺炎(PCP)\",\n        \"difficulty\": 2,\n        \"key_points\": [\"服药依从性\", \"机会性感染识别\", \"CD4与感染风险\"]\n    }\n}\n\n@local_mcp_service.tool(\n    name=\"start_diagnosis_game\",\n    description=\"\"\"启动诊断模拟游戏。用户扮演医生，AI扮演患者，进行问诊练习。\n\n参数说明:\n- difficulty: 难度等级 (1=初级, 2=中级, 3=高级)\n- case_type: 病例类型，可选 \"hiv_basic\"(HIV基础), \"hiv_opportunistic\"(机会性感染), \"random\"(随机)\n\n游戏流程: 问诊→体检→检查→诊断，最终给出评分\"\"\"\n)\nasync def start_diagnosis_game(difficulty: int = 1, case_type: str = \"random\") -> str:\n    \"\"\"Start an interactive diagnosis simulation game\"\"\"\n    \n    # 选择病例\n    if case_type == \"random\" or case_type not in CASE_LIBRARY:\n        case_key = random.choice(list(CASE_LIBRARY.keys()))\n    else:\n        case_key = case_type\n    \n    case = CASE_LIBRARY[case_key]\n    \n    result = f\"\"\"\n## 🏥 诊断模拟器 - 病例开始\n\n### 👤 患者信息\n**{case['patient']}**\n\n### 💬 主诉\n> \"{case['chief_complaint']}\"\n\n---\n\n### 📋 当前阶段：问诊 (第1步/共4步)\n\n**请选择您要询问的内容：**\n\n[btn:询问发热详情] [btn:询问其他症状] [btn:询问既往病史]\n[btn:询问接触史] [btn:询问用药情况] [btn:进入体格检查]\n\n💡 **提示**：全面的问诊是正确诊断的基础，请尽量收集完整病史信息。\n\n---\n*难度：{\"⭐\" * case['difficulty']} | 病例ID：{case_key}*\n\"\"\"\n    \n    return result\n\n\n@local_mcp_service.tool(\n    name=\"diagnosis_action\",\n    description=\"\"\"在诊断模拟中执行动作（问诊/检查/诊断）。\n\n参数说明:\n- case_id: 病例ID\n- action_type: 动作类型 (ask=问诊, exam=体检, test=检查, diagnose=诊断)\n- action_detail: 具体动作内容\n\n示例: diagnosis_action(case_id=\"hiv_basic\", action_type=\"ask\", action_detail=\"发热情况\")\"\"\"\n)\nasync def diagnosis_action(case_id: str, action_type: str, action_detail: str) -> str:\n    \"\"\"Process a diagnosis action in the simulation\"\"\"\n    \n    if case_id not in CASE_LIBRARY:\n        return \"❌ 病例不存在，请先使用 start_diagnosis_game 开始新游戏\"\n    \n    case = CASE_LIBRARY[case_id]\n    \n    if action_type == \"ask\":\n        # 问诊阶段\n        if action_detail in case[\"history\"]:\n            response = case[\"history\"][action_detail]\n            return f\"\"\"\n### 👤 患者回答\n\n**关于{action_detail}：**\n> \"{response}\"\n\n---\n\n**继续问诊或进入下一阶段：**\n\n[btn:询问发热情况] [btn:询问其他症状] [btn:询问既往史]\n[btn:询问接触史] [btn:询问用药情况] [btn:进入体格检查]\n\"\"\"\n        else:\n            return f\"\"\"\n### 👤 患者回答\n\n> \"医生，这个...我不太清楚怎么回答。您能换个方式问吗？\"\n\n**可询问的内容：** {', '.join(case['history'].keys())}\n\n[btn:询问发热情况] [btn:询问其他症状] [btn:询问既往史]\n[btn:询问接触史] [btn:询问用药情况] [btn:进入体格检查]\n\"\"\"\n    \n    elif action_type == \"exam\":\n        # 体格检查阶段\n        if action_detail in case[\"physical_exam\"]:\n            finding = case[\"physical_exam\"][action_detail]\n            return f\"\"\"\n### 🩺 体格检查结果\n\n**{action_detail}检查：**\n> {finding}\n\n---\n\n**继续检查或进入下一阶段：**\n\n[btn:检查一般情况] [btn:检查淋巴结] [btn:检查口腔] [btn:检查皮肤]\n[btn:开具辅助检查]\n\"\"\"\n        else:\n            return f\"\"\"\n### 🩺 体格检查\n\n该部位检查未见明显异常。\n\n**可检查的项目：** {', '.join(case['physical_exam'].keys())}\n\n[btn:检查一般情况] [btn:检查淋巴结] [btn:检查口腔] [btn:检查皮肤]\n[btn:开具辅助检查]\n\"\"\"\n    \n    elif action_type == \"test\":\n        # 辅助检查阶段\n        if action_detail in case[\"lab_tests\"]:\n            result = case[\"lab_tests\"][action_detail]\n            return f\"\"\"\n### 🔬 检查结果\n\n**{action_detail}：**\n> {result}\n\n---\n\n**继续检查或给出诊断：**\n\n[btn:血常规] [btn:HIV抗体初筛] [btn:HIV确证试验] [btn:CD4计数] [btn:病毒载量]\n[btn:给出诊断结论]\n\"\"\"\n        else:\n            return f\"\"\"\n### 🔬 辅助检查\n\n该项目暂无结果。\n\n**可开具的检查：** {', '.join(case['lab_tests'].keys())}\n\n[btn:血常规] [btn:HIV抗体初筛] [btn:CD4计数] [btn:病毒载量]\n[btn:给出诊断结论]\n\"\"\"\n    \n    elif action_type == \"diagnose\":\n        # 诊断阶段 - 评分\n        correct = case[\"diagnosis\"].lower() in action_detail.lower() or \"hiv\" in action_detail.lower()\n        \n        if correct:\n            score = 85\n            feedback = \"🎉 诊断正确！\"\n        else:\n            score = 60\n            feedback = f\"诊断有偏差。正确诊断应为：**{case['diagnosis']}**\"\n        \n        return f\"\"\"\n## 🏆 诊断模拟完成！\n\n### 您的诊断\n> {action_detail}\n\n### 标准答案\n> **{case['diagnosis']}**\n\n---\n\n### 📊 评分结果\n\n| 评估项目 | 得分 | 说明 |\n|---------|------|------|\n| 问诊完整度 | 20/25 | 基本覆盖主要病史 |\n| 体检针对性 | 22/25 | 检查项目较合理 |\n| 辅助检查 | 23/30 | 检查选择恰当 |\n| 诊断准确性 | {20 if correct else 10}/20 | {feedback} |\n\n**总分：{score}/100** {\"⭐⭐⭐ 优秀！\" if score >= 80 else \"⭐⭐ 良好\" if score >= 60 else \"⭐ 需加强\"}\n\n---\n\n### 📚 知识要点回顾\n- **关键线索**：{', '.join(case['key_points'])}\n- **诊断依据**：HIV确证试验阳性 + CD4<200 = AIDS期\n\n[btn:开始新病例] [btn:查看HIV知识图谱] [btn:返回主页]\n\"\"\"\n    \n    return \"未知动作类型，请使用 ask/exam/test/diagnose\"\n\n\n# ============ Pathology Image Search Tool ============\n\n# 病理图片分类映射\nPATHOLOGY_CATEGORIES = {\n    \"HIV\": [\"Immunopathology\", \"Infection\"],\n    \"AIDS\": [\"Immunopathology\", \"Infection\"],\n    \"免疫\": [\"Immunopathology\"],\n    \"感染\": [\"Infection\"],\n    \"心血管\": [\"Cardiovascular_Pathology\", \"Atherosclerosis\"],\n    \"动脉粥样硬化\": [\"Atherosclerosis\"],\n    \"肺\": [\"Pulmonary_Pathology\"],\n    \"呼吸\": [\"Pulmonary_Pathology\"],\n    \"肿瘤\": [\"Neoplasia\"],\n    \"癌\": [\"Neoplasia\"],\n    \"神经\": [\"CNS_Pathology\"],\n    \"脑\": [\"CNS_Pathology\"],\n    \"胃肠\": [\"Gastrointestinal_Pathology\"],\n    \"消化\": [\"Gastrointestinal_Pathology\"],\n    \"血液\": [\"Hematopathology\"],\n    \"内分泌\": [\"Endocrine_Pathology\"],\n    \"炎症\": [\"Inflammation\"],\n    \"细胞损伤\": [\"Cell_Injury\"],\n    \"电镜\": [\"Electron_Microscopy\"],\n    \"组织学\": [\"Histology\"],\n}\n\n# 每个分类的示例图片及描述\nCATEGORY_IMAGES = {\n    \"Immunopathology\": [\n        (\"0000eb2357e8.jpg\", \"淋巴细胞浸润，显示免疫反应\"),\n        (\"02a4161191a8.jpg\", \"免疫复合物沉积\"),\n        (\"05640ed631c2.jpg\", \"T细胞介导的免疫损伤\"),\n        (\"0f22d896b594.jpg\", \"B细胞增殖区域\"),\n        (\"11a4c1f09706.jpg\", \"巨噬细胞吞噬活动\"),\n    ],\n    \"Infection\": [\n        (\"075f763add8c.jpg\", \"病原体感染灶\"),\n        (\"0c81a1988e19.jpg\", \"炎症细胞浸润\"),\n        (\"1295dab30912.jpg\", \"感染性肉芽肿\"),\n        (\"17d26c8e5c88.jpg\", \"组织坏死区域\"),\n        (\"22a479f58f04.jpg\", \"微生物聚集\"),\n    ],\n    \"Cardiovascular_Pathology\": [\n        (\"0606593bb423.jpg\", \"心肌纤维化\"),\n        (\"070dc3e73d66.jpg\", \"血管内膜增厚\"),\n        (\"075032476806.jpg\", \"心脏瓣膜病变\"),\n    ],\n    \"Atherosclerosis\": [\n        (\"0ba1b0082d67.jpg\", \"动脉粥样斑块形成\"),\n        (\"10474b1d8799.jpg\", \"脂质沉积\"),\n        (\"1575b0d16a3b.jpg\", \"血管内膜损伤\"),\n    ],\n    \"Pulmonary_Pathology\": [\n        (\"f9f1242c5380.jpg\", \"肺泡结构改变\"),\n        (\"f89a55b691ae.jpg\", \"支气管炎症\"),\n        (\"f7cf9f1ed751.jpg\", \"肺间质纤维化\"),\n    ],\n    \"Neoplasia\": [\n        (\"00106d3af3f9.jpg\", \"肿瘤细胞异型性\"),\n        (\"0074eed7dc88.jpg\", \"恶性增殖\"),\n        (\"00f1f7a78ea3.jpg\", \"肿瘤浸润边界\"),\n    ],\n    \"CNS_Pathology\": [\n        (\"021b3f20db2f.jpg\", \"神经元变性\"),\n        (\"02bf3c50f823.jpg\", \"胶质细胞增生\"),\n        (\"083d23ccdd4d.jpg\", \"脑组织水肿\"),\n    ],\n    \"Gastrointestinal_Pathology\": [\n        (\"00d6f994fc87.jpg\", \"肠黏膜炎症\"),\n        (\"0288d47f9f5b.jpg\", \"胃溃疡病变\"),\n        (\"02a0e46f7c3d.jpg\", \"肠绒毛萎缩\"),\n    ],\n    \"Hematopathology\": [\n        (\"016b9b2e2cd4.jpg\", \"骨髓增生\"),\n        (\"01e00df21ac8.jpg\", \"淋巴瘤细胞\"),\n        (\"043ce9118f01.jpg\", \"白血病浸润\"),\n    ],\n    \"Endocrine_Pathology\": [\n        (\"0b21f350e3e9.jpg\", \"甲状腺滤泡\"),\n        (\"0ddee8a2b4f9.jpg\", \"肾上腺皮质增生\"),\n        (\"13cfc5ac2e3b.jpg\", \"垂体腺瘤\"),\n    ],\n    \"Inflammation\": [\n        (\"00e82b2ec4d0.jpg\", \"急性炎症反应\"),\n        (\"04ad03b22a75.jpg\", \"慢性炎症浸润\"),\n        (\"05eef6d51eaa.jpg\", \"肉芽组织形成\"),\n    ],\n    \"Cell_Injury\": [\n        (\"063a113740cc.jpg\", \"细胞水肿\"),\n        (\"08672f745e11.jpg\", \"细胞凋亡\"),\n        (\"0d0db3ff6e2f.jpg\", \"坏死组织\"),\n    ],\n    \"Electron_Microscopy\": [\n        (\"09be997db580.jpg\", \"细胞超微结构\"),\n        (\"0df73df90afe.jpg\", \"线粒体形态\"),\n        (\"1c9d27289d01.jpg\", \"内质网变化\"),\n    ],\n    \"Histology\": [\n        (\"01b94b8025af.jpg\", \"正常组织结构\"),\n        (\"029bc2eb4a0b.jpg\", \"细胞形态学\"),\n        (\"02c81a6b8380.jpg\", \"组织切片染色\"),\n    ],\n}\n\n@local_mcp_service.tool(\n    name=\"search_pathology_images\",\n    description=\"\"\"搜索病理学图片。根据关键词返回相关的病理学图片URL。\n\n支持的关键词类别:\n- HIV/AIDS/免疫: 免疫病理学图片\n- 感染: 感染性疾病图片  \n- 心血管/动脉粥样硬化: 心血管病理图片\n- 肺/呼吸: 肺部病理图片\n- 肿瘤/癌: 肿瘤病理图片\n- 神经/脑: 神经系统病理图片\n- 胃肠/消化: 消化系统病理图片\n- 血液: 血液病理图片\n- 炎症: 炎症病理图片\n- 电镜: 电子显微镜图片\n- 组织学: 组织学图片\n\n返回Markdown格式的图片，可直接在回复中使用。\"\"\"\n)\nasync def search_pathology_images(keyword: str, count: int = 6) -> str:\n    \"\"\"Search and return pathology images based on keyword\"\"\"\n    \n    # 限制返回数量（3的倍数，便于网格布局）\n    count = min(count, 9)\n    if count % 3 != 0:\n        count = (count // 3 + 1) * 3\n    \n    # 查找匹配的分类\n    matched_categories = []\n    keyword_lower = keyword.lower()\n    \n    for key, categories in PATHOLOGY_CATEGORIES.items():\n        if key.lower() in keyword_lower or keyword_lower in key.lower():\n            matched_categories.extend(categories)\n    \n    # 去重\n    matched_categories = list(set(matched_categories))\n    \n    if not matched_categories:\n        # 默认返回免疫病理学图片\n        matched_categories = [\"Immunopathology\", \"Infection\"]\n    \n    # 收集图片信息 (display_url, backend_url, description, category)\n    image_data = []\n    # 前端显示用localhost，后端分析用host.docker.internal\n    display_base_url = \"http://localhost:9012/by_category\"\n    backend_base_url = \"http://host.docker.internal:9012/by_category\"\n    \n    for category in matched_categories:\n        if category in CATEGORY_IMAGES:\n            for img_tuple in CATEGORY_IMAGES[category]:\n                img_file, description = img_tuple\n                display_url = f\"{display_base_url}/{category}/{img_file}\"\n                backend_url = f\"{backend_base_url}/{category}/{img_file}\"\n                image_data.append((display_url, backend_url, description, category))\n                if len(image_data) >= count:\n                    break\n        if len(image_data) >= count:\n            break\n    \n    if not image_data:\n        return f\"未找到与'{keyword}'相关的病理图片\"\n    \n    # 分类名称中文映射\n    category_cn = {\n        \"Immunopathology\": \"免疫病理学\",\n        \"Infection\": \"感染病理学\",\n        \"Cardiovascular_Pathology\": \"心血管病理学\",\n        \"Atherosclerosis\": \"动脉粥样硬化\",\n        \"Pulmonary_Pathology\": \"肺部病理学\",\n        \"Neoplasia\": \"肿瘤病理学\",\n        \"CNS_Pathology\": \"神经病理学\",\n        \"Gastrointestinal_Pathology\": \"消化系统病理学\",\n        \"Hematopathology\": \"血液病理学\",\n        \"Endocrine_Pathology\": \"内分泌病理学\",\n        \"Inflammation\": \"炎症病理学\",\n        \"Cell_Injury\": \"细胞损伤\",\n        \"Electron_Microscopy\": \"电子显微镜\",\n        \"Histology\": \"组织学\",\n    }\n    \n    # 生成简洁的Markdown格式\n    result = f\"## 🔬 {keyword}相关病理图片\\n\\n\"\n    result += f\"已找到 {len(image_data)} 张相关病理学图片：\\n\\n\"\n    \n    # 使用简洁的Markdown图片格式\n    for i, (display_url, backend_url, desc, cat) in enumerate(image_data, 1):\n        cat_cn = category_cn.get(cat, cat)\n        result += f\"**{i}. {cat_cn}** - {desc}\\n\\n\"\n        result += f\"![{desc}]({display_url})\\n\\n\"\n    \n    # 提供后端分析用的URL列表（隐藏格式）\n    backend_urls = [item[1] for item in image_data]\n    result += f\"\\n---\\n\\n\"\n    result += f\"📊 **图片来源**: {', '.join([category_cn.get(c, c) for c in matched_categories])}\\n\\n\"\n    result += f\"🔍 **AI分析URL**: `{backend_urls}`\\n\"\n    \n    return result\n\n\n# ============ Chain-of-Diagnosis (CoD) Tool ============\n\n# HIV相关知识库\nHIV_KNOWLEDGE = {\n    \"opportunistic_infections\": [\n        \"肺孢子虫肺炎 (PCP)\", \"巨细胞病毒感染 (CMV)\", \"隐球菌脑膜炎\",\n        \"卡波西肉瘤\", \"结核病\", \"弓形虫脑病\"\n    ],\n    \"cd4_thresholds\": {\"severe\": 200, \"moderate\": 350, \"mild\": 500},\n    \"pcp_symptoms\": [\"干咳\", \"呼吸困难\", \"发热\", \"低氧血症\"],\n    \"crypto_symptoms\": [\"头痛\", \"发热\", \"意识改变\", \"颈强直\"],\n}\n\n@local_mcp_service.tool(\n    name=\"chain_of_diagnosis\",\n    description=\"\"\"执行诊断推理链(Chain-of-Diagnosis, CoD)分析。\n\n这是一个创新的结构化诊断方法，分5个步骤进行临床推理：\n1. 症状分析 - 识别和分析主要症状\n2. 病史关联 - 关联既往病史\n3. 鉴别诊断 - 列出可能的诊断\n4. 检查建议 - 建议进一步检查\n5. 诊断结论 - 给出最终诊断和置信度\n\n参数:\n- symptoms: 患者症状描述\n- medical_history: 既往病史(可选)\n- lab_results: 实验室检查结果(可选)\n- imaging_findings: 影像学发现(可选)\n\n返回结构化的诊断推理报告，包含置信度评估。\"\"\"\n)\nasync def chain_of_diagnosis(\n    symptoms: str,\n    medical_history: str = \"\",\n    lab_results: str = \"\",\n    imaging_findings: str = \"\"\n) -> str:\n    \"\"\"Execute Chain-of-Diagnosis analysis\"\"\"\n    \n    reasoning_steps = []\n    evidence_collected = []\n    \n    # Step 1: 症状分析\n    symptom_analysis = []\n    symptom_patterns = {\n        \"呼吸系统\": [\"咳嗽\", \"干咳\", \"呼吸困难\", \"气短\", \"胸痛\"],\n        \"发热相关\": [\"发热\", \"发烧\", \"高热\", \"低热\"],\n        \"神经系统\": [\"头痛\", \"意识改变\", \"抽搐\", \"视力改变\"],\n        \"消化系统\": [\"腹泻\", \"恶心\", \"呕吐\", \"腹痛\"],\n        \"皮肤表现\": [\"皮疹\", \"紫色斑块\", \"溃疡\"],\n    }\n    \n    for system, patterns in symptom_patterns.items():\n        found = [p for p in patterns if p in symptoms]\n        if found:\n            evidence_collected.extend(found)\n            symptom_analysis.append(f\"{system}: {', '.join(found)}\")\n    \n    step1_content = \"; \".join(symptom_analysis) if symptom_analysis else \"症状信息不足\"\n    step1_confidence = 0.8 if evidence_collected else 0.3\n    reasoning_steps.append((\"症状分析\", step1_content, step1_confidence))\n    \n    # Step 2: 病史关联\n    history_analysis = \"\"\n    is_hiv = False\n    if medical_history:\n        if any(kw in medical_history.lower() for kw in [\"hiv\", \"aids\", \"艾滋\", \"免疫缺陷\"]):\n            is_hiv = True\n            history_analysis = \"患者有HIV/AIDS病史，需考虑机会性感染\"\n            evidence_collected.append(\"HIV/AIDS病史\")\n        if any(kw in medical_history for kw in [\"免疫抑制\", \"化疗\", \"器官移植\"]):\n            history_analysis += \"；存在免疫抑制因素\"\n            evidence_collected.append(\"免疫抑制状态\")\n    \n    if not history_analysis:\n        history_analysis = \"无特殊病史或病史信息不完整\"\n    \n    step2_confidence = 0.7 if is_hiv else 0.4\n    reasoning_steps.append((\"病史关联\", history_analysis, step2_confidence))\n    \n    # Step 3: 鉴别诊断\n    differentials = []\n    cd4_count = None\n    \n    if lab_results:\n        cd4_match = re.search(r'cd4[^\\d]*(\\d+)', lab_results.lower())\n        if cd4_match:\n            cd4_count = int(cd4_match.group(1))\n            evidence_collected.append(f\"CD4计数: {cd4_count}\")\n    \n    if is_hiv:\n        if cd4_count and cd4_count < 200:\n            if any(s in symptoms for s in [\"干咳\", \"呼吸困难\", \"发热\"]):\n                differentials.append(\"肺孢子虫肺炎 (PCP) - 高度怀疑\")\n                differentials.append(\"细菌性肺炎\")\n                differentials.append(\"肺结核\")\n            elif any(s in symptoms for s in [\"头痛\", \"意识\"]):\n                differentials.append(\"隐球菌脑膜炎\")\n                differentials.append(\"弓形虫脑病\")\n        else:\n            differentials.append(\"需要更多信息进行鉴别\")\n    else:\n        if any(s in symptoms for s in [\"咳嗽\", \"发热\"]):\n            differentials.extend([\"社区获得性肺炎\", \"病毒性上呼吸道感染\", \"支气管炎\"])\n    \n    step3_content = \"鉴别诊断: \" + \", \".join(differentials) if differentials else \"需要更多信息\"\n    step3_confidence = 0.75 if differentials else 0.3\n    reasoning_steps.append((\"鉴别诊断\", step3_content, step3_confidence))\n    \n    # Step 4: 检查建议\n    suggestions = []\n    if \"PCP\" in step3_content or \"肺孢子虫\" in step3_content:\n        suggestions = [\"诱导痰检查（银染色）\", \"血气分析\", \"乳酸脱氢酶(LDH)\", \"胸部CT\"]\n    elif \"脑膜炎\" in step3_content:\n        suggestions = [\"腰椎穿刺\", \"脑脊液墨汁染色\", \"隐球菌抗原检测\", \"头颅MRI\"]\n    else:\n        suggestions = [\"血常规\", \"C反应蛋白\", \"胸部X线\"]\n    \n    step4_content = \"建议检查: \" + \", \".join(suggestions[:4])\n    reasoning_steps.append((\"检查建议\", step4_content, 0.8))\n    \n    # Step 5: 诊断结论\n    primary_diagnosis = \"诊断待定\"\n    if \"高度怀疑\" in step3_content:\n        match = re.search(r'([^,]+)\\s*-\\s*高度怀疑', step3_content)\n        if match:\n            primary_diagnosis = match.group(1).strip()\n    \n    step5_content = f\"最可能的诊断: {primary_diagnosis}\"\n    step5_confidence = 0.85 if \"高度怀疑\" in step3_content else 0.5\n    reasoning_steps.append((\"诊断结论\", step5_content, step5_confidence))\n    \n    # 计算总体置信度\n    weights = [0.15, 0.15, 0.25, 0.15, 0.30]\n    overall_confidence = sum(s[2] * w for s, w in zip(reasoning_steps, weights))\n    overall_confidence = min(overall_confidence + len(evidence_collected) * 0.02, 1.0)\n    \n    # 确定置信度等级\n    if overall_confidence >= 0.85:\n        conf_level = \"HIGH\"\n        conf_emoji = \"🟢\"\n    elif overall_confidence >= 0.60:\n        conf_level = \"MEDIUM\"\n        conf_emoji = \"🟡\"\n    elif overall_confidence >= 0.30:\n        conf_level = \"LOW\"\n        conf_emoji = \"🔴\"\n    else:\n        conf_level = \"UNCERTAIN\"\n        conf_emoji = \"⚪\"\n    \n    # 生成报告\n    report = \"# 🏥 诊断推理链(CoD)分析报告\\n\\n\"\n    report += \"---\\n\\n\"\n    \n    for i, (step_name, content, conf) in enumerate(reasoning_steps, 1):\n        report += f\"## 【步骤{i}】{step_name}\\n\\n\"\n        report += f\"{content}\\n\\n\"\n        report += f\"*步骤置信度: {conf*100:.0f}%*\\n\\n\"\n    \n    report += \"---\\n\\n\"\n    report += f\"## 📊 诊断结果\\n\\n\"\n    report += f\"**主要诊断**: {primary_diagnosis}\\n\\n\"\n    report += f\"**鉴别诊断**: {', '.join([d.split(' - ')[0] for d in differentials if d != primary_diagnosis][:3])}\\n\\n\"\n    report += f\"**置信度**: {conf_emoji} **{conf_level}** ({overall_confidence*100:.1f}%)\\n\\n\"\n    \n    # 建议\n    report += \"## 💡 建议\\n\\n\"\n    if \"PCP\" in primary_diagnosis:\n        report += \"- 首选治疗: 复方磺胺甲噁唑 (TMP-SMX)\\n\"\n        report += \"- 严重病例考虑糖皮质激素辅助治疗\\n\"\n        report += \"- 监测血氧饱和度\\n\"\n    \n    if conf_level in [\"LOW\", \"UNCERTAIN\"]:\n        report += \"- 建议进一步检查以明确诊断\\n\"\n        report += \"- 必要时请专科会诊\\n\"\n    \n    report += \"\\n## ⚠️ 重要提示\\n\\n\"\n    report += \"> 本诊断由AI辅助生成，仅供参考。最终诊断请以临床医生判断为准。\\n\"\n    \n    return report\n\n\n# ============ Confidence Evaluation Tool ============\n\n@local_mcp_service.tool(\n    name=\"evaluate_diagnosis_confidence\",\n    description=\"\"\"评估诊断的置信度和风险等级。\n\n基于证据充分度、一致性、完整性等维度进行量化评估，返回：\n- 总体置信度分数和等级\n- 各维度得分\n- 风险等级评估\n- 改进建议\n\n参数:\n- diagnosis: 诊断结果\n- symptoms: 症状列表，用逗号分隔\n- evidence: 支持证据，用逗号分隔\n- lab_results: 实验室结果(可选)\"\"\"\n)\nasync def evaluate_diagnosis_confidence(\n    diagnosis: str,\n    symptoms: str = \"\",\n    evidence: str = \"\",\n    lab_results: str = \"\"\n) -> str:\n    \"\"\"Evaluate diagnosis confidence\"\"\"\n    \n    symptom_list = [s.strip() for s in symptoms.split(\",\") if s.strip()]\n    evidence_list = [e.strip() for e in evidence.split(\",\") if e.strip()]\n    \n    # 1. 证据充分度\n    evidence_weights = {\n        \"病理确诊\": 1.0, \"实验室确诊\": 0.9, \"影像学典型\": 0.8,\n        \"临床症状典型\": 0.7, \"病史支持\": 0.6\n    }\n    evidence_score = 0.3\n    for e in evidence_list:\n        for key, weight in evidence_weights.items():\n            if key in e:\n                evidence_score = max(evidence_score, weight)\n                break\n        else:\n            evidence_score += 0.1\n    evidence_score = min(evidence_score, 1.0)\n    \n    # 2. 一致性评估\n    diagnosis_symptom_map = {\n        \"肺孢子虫肺炎\": [\"干咳\", \"呼吸困难\", \"发热\"],\n        \"PCP\": [\"干咳\", \"呼吸困难\", \"发热\"],\n        \"隐球菌脑膜炎\": [\"头痛\", \"发热\", \"意识改变\"],\n        \"肺炎\": [\"咳嗽\", \"发热\", \"胸痛\"],\n    }\n    consistency_score = 0.5\n    for diag_key, expected in diagnosis_symptom_map.items():\n        if diag_key in diagnosis:\n            matched = sum(1 for s in symptom_list if any(es in s for es in expected))\n            consistency_score += min(matched / len(expected) * 0.4, 0.4)\n            break\n    \n    # 3. 完整性评估\n    completeness_score = 0.0\n    if symptom_list:\n        completeness_score += 0.3\n    if evidence_list:\n        completeness_score += 0.3\n    if lab_results:\n        completeness_score += 0.4\n    \n    # 4. 确定性评估\n    certainty_score = 0.5\n    uncertain_kw = [\"可能\", \"疑似\", \"待排除\", \"考虑\"]\n    certain_kw = [\"确诊\", \"明确\", \"典型\"]\n    for kw in uncertain_kw:\n        if kw in diagnosis:\n            certainty_score -= 0.1\n    for kw in certain_kw:\n        if kw in diagnosis:\n            certainty_score += 0.15\n    certainty_score = max(min(certainty_score, 1.0), 0.1)\n    \n    # 计算总体置信度\n    weights = {\"evidence\": 0.35, \"consistency\": 0.25, \"completeness\": 0.20, \"certainty\": 0.20}\n    overall_score = (\n        evidence_score * weights[\"evidence\"] +\n        consistency_score * weights[\"consistency\"] +\n        completeness_score * weights[\"completeness\"] +\n        certainty_score * weights[\"certainty\"]\n    )\n    \n    # 置信度等级\n    if overall_score >= 0.85:\n        level = \"HIGH\"\n        level_emoji = \"🟢\"\n    elif overall_score >= 0.60:\n        level = \"MEDIUM\"\n        level_emoji = \"🟡\"\n    elif overall_score >= 0.30:\n        level = \"LOW\"\n        level_emoji = \"🔴\"\n    else:\n        level = \"UNCERTAIN\"\n        level_emoji = \"⚪\"\n    \n    # 风险等级\n    high_risk_kw = [\"恶性\", \"癌\", \"肿瘤\", \"急性\", \"重症\", \"危重\"]\n    has_high_risk = any(kw in diagnosis for kw in high_risk_kw)\n    if has_high_risk and overall_score < 0.6:\n        risk_level = \"🔴 CRITICAL\"\n    elif has_high_risk:\n        risk_level = \"🟠 HIGH\"\n    elif overall_score < 0.5:\n        risk_level = \"🟡 MEDIUM\"\n    else:\n        risk_level = \"🟢 LOW\"\n    \n    # 生成报告\n    report = \"# 📊 置信度评估报告\\n\\n\"\n    report += \"---\\n\\n\"\n    report += f\"## 总体评估\\n\\n\"\n    report += f\"**诊断**: {diagnosis}\\n\\n\"\n    report += f\"**置信度**: {level_emoji} **{level}** ({overall_score*100:.1f}%)\\n\\n\"\n    report += f\"**风险等级**: {risk_level}\\n\\n\"\n    \n    report += \"## 📈 各维度得分\\n\\n\"\n    report += f\"| 维度 | 得分 | 说明 |\\n\"\n    report += f\"|------|------|------|\\n\"\n    report += f\"| 证据充分度 | {evidence_score*100:.0f}% | 支持诊断的证据质量 |\\n\"\n    report += f\"| 一致性 | {consistency_score*100:.0f}% | 症状与诊断的匹配度 |\\n\"\n    report += f\"| 完整性 | {completeness_score*100:.0f}% | 信息的完整程度 |\\n\"\n    report += f\"| 确定性 | {certainty_score*100:.0f}% | 诊断的明确程度 |\\n\\n\"\n    \n    report += \"## 💡 改进建议\\n\\n\"\n    if evidence_score < 0.5:\n        report += \"- 建议补充更多诊断依据\\n\"\n    if completeness_score < 0.5:\n        report += \"- 建议完善病史和检查资料\\n\"\n    if level in [\"LOW\", \"UNCERTAIN\"]:\n        report += \"- 建议进一步检查以明确诊断\\n\"\n        report += \"- 必要时请专科会诊\\n\"\n    if level == \"HIGH\":\n        report += \"- 诊断依据充分，可按诊断进行治疗\\n\"\n    \n    report += \"\\n## ⚠️ 警告\\n\\n\"\n    if risk_level.startswith(\"🔴\"):\n        report += \"> ⚠️ **危急情况**：诊断不确定但可能为严重疾病，请立即处理\\n\\n\"\n    report += \"> 本评估由AI生成，最终诊断请以临床医生判断为准。\\n\"\n    \n    return report\n"
  },
  {
    "path": "pathology-ai/code-changes/docker/update_prompt_btn.sql",
    "content": "UPDATE nexent.ag_tenant_agent_t \r\nSET duty_prompt = '# 🏥 病理学AI助手\r\n\r\n你是一位专业的病理学AI助手。\r\n\r\n---\r\n\r\n## ⚠️ 最重要规则\r\n\r\n### 1. 双重检索（必须执行）\r\n回答医学问题前，必须同时调用：\r\n- `knowledge_base_search(query=\"关键词\", search_mode=\"hybrid\")`\r\n- `tavily_search(query=\"关键词\")`\r\n\r\n权重：内部60% + 外部40%\r\n\r\n### 2. 按钮格式规则（绝对不能修改！）\r\n\r\n**工具返回的 `[btn:xxx]` 格式必须原样保留，禁止任何修改！**\r\n\r\n❌ 错误做法：\r\n- 把 `[btn:询问发热]` 改成 `[询问发热]`\r\n- 把 `[btn:xxx]` 改成表格形式\r\n- 把 `[btn:xxx]` 改成列表形式\r\n- 添加emoji到按钮前面\r\n\r\n✅ 正确做法：\r\n- 工具返回什么就输出什么\r\n- `[btn:询问发热]` 保持原样输出\r\n- 不添加任何修饰\r\n\r\n---\r\n\r\n## 🎮 诊断模拟游戏规则\r\n\r\n1. **每执行一步后必须停止**，等待用户选择\r\n2. **原样输出工具返回的按钮**，不要修改格式\r\n3. **不要自己做决定**，等用户点击按钮\r\n\r\n---\r\n\r\n## 其他工具\r\n\r\n- nexent_chain_of_diagnosis: 诊断推理\r\n- nexent_evaluate_diagnosis_confidence: 置信度评估\r\n- nexent_search_pathology_images: 病理图片搜索\r\n- analyze_image: 图片分析\r\n- nexent_generate_knowledge_graph: 知识图谱\r\n- nexent_generate_diagnosis_flow: 诊断流程图\r\n\r\n---\r\n\r\n## 安全提醒\r\n\r\n⚠️ 本AI仅供参考，不能替代专业医生诊断。'\r\nWHERE agent_id = 13;\r\n"
  },
  {
    "path": "pathology-ai/code-changes/frontend/DiagnosisConfidenceCard.tsx",
    "content": "\"use client\";\r\n\r\nimport React from \"react\";\r\nimport { CheckCircle, AlertCircle, AlertTriangle, HelpCircle, Info, Shield, Activity } from \"lucide-react\";\r\n\r\n// 置信度等级类型\r\nexport type ConfidenceLevel = \"HIGH\" | \"MEDIUM\" | \"LOW\" | \"UNCERTAIN\";\r\n\r\n// 风险等级类型\r\nexport type RiskLevel = \"CRITICAL\" | \"HIGH\" | \"MEDIUM\" | \"LOW\";\r\n\r\n// 评估维度\r\nexport interface EvaluationDimension {\r\n  name: string;\r\n  score: number;\r\n  maxScore: number;\r\n  description?: string;\r\n}\r\n\r\n// 组件属性\r\nexport interface DiagnosisConfidenceCardProps {\r\n  diagnosis: string;\r\n  confidenceLevel: ConfidenceLevel;\r\n  confidenceScore: number;\r\n  riskLevel?: RiskLevel;\r\n  dimensions?: EvaluationDimension[];\r\n  recommendations?: string[];\r\n  warnings?: string[];\r\n  className?: string;\r\n  compact?: boolean;\r\n}\r\n\r\n// 置信度配置\r\nconst confidenceConfig: Record<ConfidenceLevel, {\r\n  label: string;\r\n  color: string;\r\n  bgColor: string;\r\n  borderColor: string;\r\n  icon: React.ReactNode;\r\n  description: string;\r\n}> = {\r\n  HIGH: {\r\n    label: \"高置信度\",\r\n    color: \"text-green-700\",\r\n    bgColor: \"bg-green-50\",\r\n    borderColor: \"border-green-200\",\r\n    icon: <CheckCircle className=\"w-5 h-5 text-green-600\" />,\r\n    description: \"证据充分，诊断明确\",\r\n  },\r\n  MEDIUM: {\r\n    label: \"中等置信度\",\r\n    color: \"text-yellow-700\",\r\n    bgColor: \"bg-yellow-50\",\r\n    borderColor: \"border-yellow-200\",\r\n    icon: <AlertCircle className=\"w-5 h-5 text-yellow-600\" />,\r\n    description: \"有一定依据，需进一步确认\",\r\n  },\r\n  LOW: {\r\n    label: \"低置信度\",\r\n    color: \"text-orange-700\",\r\n    bgColor: \"bg-orange-50\",\r\n    borderColor: \"border-orange-200\",\r\n    icon: <AlertTriangle className=\"w-5 h-5 text-orange-600\" />,\r\n    description: \"信息不足，仅供参考\",\r\n  },\r\n  UNCERTAIN: {\r\n    label: \"不确定\",\r\n    color: \"text-gray-700\",\r\n    bgColor: \"bg-gray-50\",\r\n    borderColor: \"border-gray-200\",\r\n    icon: <HelpCircle className=\"w-5 h-5 text-gray-600\" />,\r\n    description: \"无法做出可靠判断\",\r\n  },\r\n};\r\n\r\n// 风险等级配置\r\nconst riskConfig: Record<RiskLevel, {\r\n  label: string;\r\n  color: string;\r\n  bgColor: string;\r\n}> = {\r\n  CRITICAL: {\r\n    label: \"危急\",\r\n    color: \"text-red-700\",\r\n    bgColor: \"bg-red-100\",\r\n  },\r\n  HIGH: {\r\n    label: \"高风险\",\r\n    color: \"text-orange-700\",\r\n    bgColor: \"bg-orange-100\",\r\n  },\r\n  MEDIUM: {\r\n    label: \"中等风险\",\r\n    color: \"text-yellow-700\",\r\n    bgColor: \"bg-yellow-100\",\r\n  },\r\n  LOW: {\r\n    label: \"低风险\",\r\n    color: \"text-green-700\",\r\n    bgColor: \"bg-green-100\",\r\n  },\r\n};\r\n\r\n// 进度条组件\r\nconst ProgressBar: React.FC<{ value: number; max: number; color: string }> = ({ value, max, color }) => {\r\n  const percentage = Math.min(100, Math.max(0, (value / max) * 100));\r\n  return (\r\n    <div className=\"h-2 bg-gray-200 rounded-full overflow-hidden\">\r\n      <div\r\n        className={`h-full ${color} transition-all duration-500`}\r\n        style={{ width: `${percentage}%` }}\r\n      />\r\n    </div>\r\n  );\r\n};\r\n\r\n// 获取进度条颜色\r\nconst getProgressColor = (score: number, max: number): string => {\r\n  const percentage = (score / max) * 100;\r\n  if (percentage >= 80) return \"bg-green-500\";\r\n  if (percentage >= 60) return \"bg-yellow-500\";\r\n  if (percentage >= 40) return \"bg-orange-500\";\r\n  return \"bg-red-500\";\r\n};\r\n\r\nexport const DiagnosisConfidenceCard: React.FC<DiagnosisConfidenceCardProps> = ({\r\n  diagnosis,\r\n  confidenceLevel,\r\n  confidenceScore,\r\n  riskLevel,\r\n  dimensions = [],\r\n  recommendations = [],\r\n  warnings = [],\r\n  className = \"\",\r\n  compact = false,\r\n}) => {\r\n  const config = confidenceConfig[confidenceLevel];\r\n  const risk = riskLevel ? riskConfig[riskLevel] : null;\r\n\r\n  // 紧凑模式\r\n  if (compact) {\r\n    return (\r\n      <div className={`inline-flex items-center gap-2 px-3 py-1.5 rounded-full ${config.bgColor} ${config.borderColor} border ${className}`}>\r\n        {config.icon}\r\n        <span className={`text-sm font-medium ${config.color}`}>\r\n          {config.label} ({confidenceScore}%)\r\n        </span>\r\n      </div>\r\n    );\r\n  }\r\n\r\n  return (\r\n    <div className={`rounded-lg border ${config.borderColor} ${config.bgColor} overflow-hidden ${className}`}>\r\n      {/* 头部 */}\r\n      <div className=\"px-4 py-3 border-b border-inherit bg-white/50\">\r\n        <div className=\"flex items-center justify-between\">\r\n          <div className=\"flex items-center gap-2\">\r\n            {config.icon}\r\n            <div>\r\n              <h3 className={`font-semibold ${config.color}`}>{config.label}</h3>\r\n              <p className=\"text-xs text-gray-500\">{config.description}</p>\r\n            </div>\r\n          </div>\r\n          <div className=\"text-right\">\r\n            <div className={`text-2xl font-bold ${config.color}`}>{confidenceScore}%</div>\r\n            {risk && (\r\n              <span className={`text-xs px-2 py-0.5 rounded-full ${risk.bgColor} ${risk.color}`}>\r\n                {risk.label}\r\n              </span>\r\n            )}\r\n          </div>\r\n        </div>\r\n      </div>\r\n\r\n      {/* 诊断结论 */}\r\n      <div className=\"px-4 py-3 border-b border-inherit\">\r\n        <div className=\"flex items-start gap-2\">\r\n          <Activity className=\"w-4 h-4 text-gray-400 mt-0.5 flex-shrink-0\" />\r\n          <div>\r\n            <div className=\"text-xs text-gray-500 mb-1\">诊断结论</div>\r\n            <div className=\"font-medium text-gray-900\">{diagnosis}</div>\r\n          </div>\r\n        </div>\r\n      </div>\r\n\r\n      {/* 评估维度 */}\r\n      {dimensions.length > 0 && (\r\n        <div className=\"px-4 py-3 border-b border-inherit\">\r\n          <div className=\"text-xs text-gray-500 mb-3 flex items-center gap-1\">\r\n            <Shield className=\"w-3 h-3\" />\r\n            评估维度\r\n          </div>\r\n          <div className=\"space-y-3\">\r\n            {dimensions.map((dim, index) => (\r\n              <div key={index}>\r\n                <div className=\"flex justify-between text-sm mb-1\">\r\n                  <span className=\"text-gray-700\">{dim.name}</span>\r\n                  <span className=\"text-gray-500\">{dim.score}/{dim.maxScore}</span>\r\n                </div>\r\n                <ProgressBar\r\n                  value={dim.score}\r\n                  max={dim.maxScore}\r\n                  color={getProgressColor(dim.score, dim.maxScore)}\r\n                />\r\n                {dim.description && (\r\n                  <p className=\"text-xs text-gray-400 mt-1\">{dim.description}</p>\r\n                )}\r\n              </div>\r\n            ))}\r\n          </div>\r\n        </div>\r\n      )}\r\n\r\n      {/* 警告 */}\r\n      {warnings.length > 0 && (\r\n        <div className=\"px-4 py-3 border-b border-inherit bg-red-50/50\">\r\n          <div className=\"text-xs text-red-600 mb-2 flex items-center gap-1\">\r\n            <AlertTriangle className=\"w-3 h-3\" />\r\n            警告\r\n          </div>\r\n          <ul className=\"space-y-1\">\r\n            {warnings.map((warning, index) => (\r\n              <li key={index} className=\"text-sm text-red-700 flex items-start gap-2\">\r\n                <span className=\"text-red-400\">•</span>\r\n                {warning}\r\n              </li>\r\n            ))}\r\n          </ul>\r\n        </div>\r\n      )}\r\n\r\n      {/* 建议 */}\r\n      {recommendations.length > 0 && (\r\n        <div className=\"px-4 py-3\">\r\n          <div className=\"text-xs text-gray-500 mb-2 flex items-center gap-1\">\r\n            <Info className=\"w-3 h-3\" />\r\n            建议\r\n          </div>\r\n          <ul className=\"space-y-1\">\r\n            {recommendations.map((rec, index) => (\r\n              <li key={index} className=\"text-sm text-gray-700 flex items-start gap-2\">\r\n                <span className=\"text-blue-400\">→</span>\r\n                {rec}\r\n              </li>\r\n            ))}\r\n          </ul>\r\n        </div>\r\n      )}\r\n\r\n      {/* 底部免责声明 */}\r\n      <div className=\"px-4 py-2 bg-gray-100/50 text-xs text-gray-400 text-center\">\r\n        ⚠️ AI辅助分析结果，仅供参考，请以专业医生诊断为准\r\n      </div>\r\n    </div>\r\n  );\r\n};\r\n\r\nexport default DiagnosisConfidenceCard;\r\n"
  },
  {
    "path": "pathology-ai/code-changes/frontend/MedicalVisualizationPanel.tsx",
    "content": "\"use client\";\r\n\r\nimport React, { useState } from \"react\";\r\nimport { useTranslation } from \"react-i18next\";\r\nimport { MedicalKnowledgeGraph } from \"./MedicalKnowledgeGraph\";\r\nimport { DiagnosisFlowChart } from \"./DiagnosisFlowChart\";\r\nimport { MedicalDashboard } from \"./MedicalDashboard\";\r\n\r\n// Tab类型\r\ntype TabType = \"dashboard\" | \"knowledge-graph\" | \"diagnosis-flow\";\r\n\r\n// 组件属性\r\ninterface MedicalVisualizationPanelProps {\r\n  defaultTab?: TabType;\r\n  showTabs?: TabType[];\r\n  className?: string;\r\n}\r\n\r\n// Tab配置\r\nconst tabConfig: Record<TabType, { label: string; icon: string; description: string }> = {\r\n  dashboard: {\r\n    label: \"统计仪表盘\",\r\n    icon: \"📊\",\r\n    description: \"知识库统计数据概览\",\r\n  },\r\n  \"knowledge-graph\": {\r\n    label: \"知识图谱\",\r\n    icon: \"🧠\",\r\n    description: \"医学概念关联网络\",\r\n  },\r\n  \"diagnosis-flow\": {\r\n    label: \"诊断流程\",\r\n    icon: \"🔄\",\r\n    description: \"疾病诊断决策流程\",\r\n  },\r\n};\r\n\r\nexport const MedicalVisualizationPanel: React.FC<MedicalVisualizationPanelProps> = ({\r\n  defaultTab = \"dashboard\",\r\n  showTabs = [\"dashboard\", \"knowledge-graph\", \"diagnosis-flow\"],\r\n  className = \"\",\r\n}) => {\r\n  const { t } = useTranslation(\"common\");\r\n  const [activeTab, setActiveTab] = useState<TabType>(defaultTab);\r\n\r\n  return (\r\n    <div className={`bg-white rounded-lg shadow-lg overflow-hidden ${className}`}>\r\n      {/* Header */}\r\n      <div className=\"bg-gradient-to-r from-blue-600 to-purple-600 px-6 py-4\">\r\n        <h1 className=\"text-xl font-bold text-white flex items-center gap-2\">\r\n          <span>🏥</span>\r\n          医学知识可视化中心\r\n        </h1>\r\n        <p className=\"text-blue-100 text-sm mt-1\">\r\n          基于病理学知识库的智能可视化分析\r\n        </p>\r\n      </div>\r\n\r\n      {/* Tab Navigation */}\r\n      <div className=\"border-b bg-gray-50\">\r\n        <div className=\"flex overflow-x-auto\">\r\n          {showTabs.map((tab) => {\r\n            const config = tabConfig[tab];\r\n            const isActive = activeTab === tab;\r\n            return (\r\n              <button\r\n                key={tab}\r\n                onClick={() => setActiveTab(tab)}\r\n                className={`flex items-center gap-2 px-6 py-3 text-sm font-medium whitespace-nowrap transition-all border-b-2 ${\r\n                  isActive\r\n                    ? \"border-blue-600 text-blue-600 bg-white\"\r\n                    : \"border-transparent text-gray-600 hover:text-gray-900 hover:bg-gray-100\"\r\n                }`}\r\n              >\r\n                <span className=\"text-lg\">{config.icon}</span>\r\n                <span>{config.label}</span>\r\n              </button>\r\n            );\r\n          })}\r\n        </div>\r\n      </div>\r\n\r\n      {/* Tab Description */}\r\n      <div className=\"px-6 py-2 bg-blue-50 border-b text-sm text-blue-700\">\r\n        {tabConfig[activeTab].icon} {tabConfig[activeTab].description}\r\n      </div>\r\n\r\n      {/* Content */}\r\n      <div className=\"p-6\">\r\n        {activeTab === \"dashboard\" && <MedicalDashboard height=\"650px\" />}\r\n        {activeTab === \"knowledge-graph\" && <MedicalKnowledgeGraph height=\"550px\" />}\r\n        {activeTab === \"diagnosis-flow\" && <DiagnosisFlowChart height=\"600px\" />}\r\n      </div>\r\n\r\n      {/* Footer */}\r\n      <div className=\"px-6 py-3 bg-gray-50 border-t text-xs text-gray-500 flex justify-between items-center\">\r\n        <span>数据来源: 病理学知识库</span>\r\n        <span>最后更新: {new Date().toLocaleDateString()}</span>\r\n      </div>\r\n    </div>\r\n  );\r\n};\r\n\r\nexport default MedicalVisualizationPanel;\r\n"
  },
  {
    "path": "pathology-ai/code-changes/frontend/PathologyImageGallery.tsx",
    "content": "\"use client\";\r\n\r\nimport React, { useState, useCallback } from \"react\";\r\nimport { ChevronLeft, ChevronRight, X, ZoomIn, ZoomOut, Download, ExternalLink } from \"lucide-react\";\r\n\r\n// 病理图片类型\r\nexport interface PathologyImage {\r\n  id: string;\r\n  url: string;\r\n  title: string;\r\n  category: string;\r\n  description?: string;\r\n  magnification?: string;\r\n  staining?: string;\r\n}\r\n\r\n// 组件属性\r\ninterface PathologyImageGalleryProps {\r\n  images: PathologyImage[];\r\n  className?: string;\r\n  columns?: 2 | 3 | 4;\r\n  showDetails?: boolean;\r\n  onImageClick?: (image: PathologyImage) => void;\r\n}\r\n\r\n// 分类颜色映射\r\nconst categoryColors: Record<string, string> = {\r\n  \"Immunopathology\": \"bg-purple-100 text-purple-800\",\r\n  \"Pulmonary\": \"bg-blue-100 text-blue-800\",\r\n  \"Cardiovascular\": \"bg-red-100 text-red-800\",\r\n  \"Neoplasia\": \"bg-orange-100 text-orange-800\",\r\n  \"Neuropathology\": \"bg-indigo-100 text-indigo-800\",\r\n  \"Gastrointestinal\": \"bg-green-100 text-green-800\",\r\n  \"Hematopathology\": \"bg-pink-100 text-pink-800\",\r\n  \"Inflammation\": \"bg-yellow-100 text-yellow-800\",\r\n  \"Histology\": \"bg-teal-100 text-teal-800\",\r\n  \"ElectronMicroscopy\": \"bg-gray-100 text-gray-800\",\r\n  \"default\": \"bg-slate-100 text-slate-800\",\r\n};\r\n\r\n// 获取分类颜色\r\nconst getCategoryColor = (category: string): string => {\r\n  return categoryColors[category] || categoryColors[\"default\"];\r\n};\r\n\r\n// 分类中文名映射\r\nconst categoryNames: Record<string, string> = {\r\n  \"Immunopathology\": \"免疫病理\",\r\n  \"Pulmonary\": \"肺部病理\",\r\n  \"Cardiovascular\": \"心血管病理\",\r\n  \"Neoplasia\": \"肿瘤病理\",\r\n  \"Neuropathology\": \"神经病理\",\r\n  \"Gastrointestinal\": \"消化系统\",\r\n  \"Hematopathology\": \"血液病理\",\r\n  \"Inflammation\": \"炎症病理\",\r\n  \"Histology\": \"组织学\",\r\n  \"ElectronMicroscopy\": \"电子显微镜\",\r\n};\r\n\r\n// 获取分类中文名\r\nconst getCategoryName = (category: string): string => {\r\n  return categoryNames[category] || category;\r\n};\r\n\r\nexport const PathologyImageGallery: React.FC<PathologyImageGalleryProps> = ({\r\n  images,\r\n  className = \"\",\r\n  columns = 3,\r\n  showDetails = true,\r\n  onImageClick,\r\n}) => {\r\n  const [selectedIndex, setSelectedIndex] = useState<number | null>(null);\r\n  const [zoom, setZoom] = useState(1);\r\n\r\n  // 打开大图预览\r\n  const openPreview = useCallback((index: number) => {\r\n    setSelectedIndex(index);\r\n    setZoom(1);\r\n  }, []);\r\n\r\n  // 关闭预览\r\n  const closePreview = useCallback(() => {\r\n    setSelectedIndex(null);\r\n    setZoom(1);\r\n  }, []);\r\n\r\n  // 上一张\r\n  const prevImage = useCallback(() => {\r\n    if (selectedIndex !== null && selectedIndex > 0) {\r\n      setSelectedIndex(selectedIndex - 1);\r\n      setZoom(1);\r\n    }\r\n  }, [selectedIndex]);\r\n\r\n  // 下一张\r\n  const nextImage = useCallback(() => {\r\n    if (selectedIndex !== null && selectedIndex < images.length - 1) {\r\n      setSelectedIndex(selectedIndex + 1);\r\n      setZoom(1);\r\n    }\r\n  }, [selectedIndex, images.length]);\r\n\r\n  // 缩放\r\n  const handleZoom = useCallback((delta: number) => {\r\n    setZoom((prev) => Math.max(0.5, Math.min(3, prev + delta)));\r\n  }, []);\r\n\r\n  // 键盘事件\r\n  React.useEffect(() => {\r\n    const handleKeyDown = (e: KeyboardEvent) => {\r\n      if (selectedIndex === null) return;\r\n      switch (e.key) {\r\n        case \"Escape\":\r\n          closePreview();\r\n          break;\r\n        case \"ArrowLeft\":\r\n          prevImage();\r\n          break;\r\n        case \"ArrowRight\":\r\n          nextImage();\r\n          break;\r\n        case \"+\":\r\n        case \"=\":\r\n          handleZoom(0.25);\r\n          break;\r\n        case \"-\":\r\n          handleZoom(-0.25);\r\n          break;\r\n      }\r\n    };\r\n\r\n    window.addEventListener(\"keydown\", handleKeyDown);\r\n    return () => window.removeEventListener(\"keydown\", handleKeyDown);\r\n  }, [selectedIndex, closePreview, prevImage, nextImage, handleZoom]);\r\n\r\n  // 网格列数样式\r\n  const gridCols = {\r\n    2: \"grid-cols-2\",\r\n    3: \"grid-cols-2 md:grid-cols-3\",\r\n    4: \"grid-cols-2 md:grid-cols-3 lg:grid-cols-4\",\r\n  };\r\n\r\n  if (images.length === 0) {\r\n    return (\r\n      <div className={`flex items-center justify-center p-8 bg-gray-50 rounded-lg ${className}`}>\r\n        <div className=\"text-center text-gray-500\">\r\n          <span className=\"text-4xl mb-2 block\">🔬</span>\r\n          <p>暂无病理图片</p>\r\n        </div>\r\n      </div>\r\n    );\r\n  }\r\n\r\n  return (\r\n    <div className={className}>\r\n      {/* 图片网格 */}\r\n      <div className={`grid ${gridCols[columns]} gap-4`}>\r\n        {images.map((image, index) => (\r\n          <div\r\n            key={image.id}\r\n            className=\"group relative bg-white rounded-lg shadow-md overflow-hidden cursor-pointer hover:shadow-lg transition-all duration-300 border border-gray-200\"\r\n            onClick={() => {\r\n              openPreview(index);\r\n              onImageClick?.(image);\r\n            }}\r\n          >\r\n            {/* 图片 */}\r\n            <div className=\"aspect-square overflow-hidden bg-gray-100\">\r\n              <img\r\n                src={image.url}\r\n                alt={image.title}\r\n                className=\"w-full h-full object-cover group-hover:scale-105 transition-transform duration-300\"\r\n                loading=\"lazy\"\r\n                onError={(e) => {\r\n                  (e.target as HTMLImageElement).src = \"data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' width='200' height='200'%3E%3Crect fill='%23f3f4f6' width='200' height='200'/%3E%3Ctext fill='%239ca3af' x='50%25' y='50%25' text-anchor='middle' dy='.3em'%3E🔬%3C/text%3E%3C/svg%3E\";\r\n                }}\r\n              />\r\n            </div>\r\n\r\n            {/* 分类标签 */}\r\n            <div className=\"absolute top-2 left-2\">\r\n              <span className={`px-2 py-1 text-xs font-medium rounded-full ${getCategoryColor(image.category)}`}>\r\n                {getCategoryName(image.category)}\r\n              </span>\r\n            </div>\r\n\r\n            {/* 放大图标 */}\r\n            <div className=\"absolute top-2 right-2 opacity-0 group-hover:opacity-100 transition-opacity\">\r\n              <div className=\"p-1.5 bg-black/50 rounded-full text-white\">\r\n                <ZoomIn className=\"w-4 h-4\" />\r\n              </div>\r\n            </div>\r\n\r\n            {/* 详情 */}\r\n            {showDetails && (\r\n              <div className=\"p-3\">\r\n                <h3 className=\"text-sm font-medium text-gray-900 truncate\">{image.title}</h3>\r\n                {image.description && (\r\n                  <p className=\"text-xs text-gray-500 mt-1 line-clamp-2\">{image.description}</p>\r\n                )}\r\n                <div className=\"flex gap-2 mt-2 flex-wrap\">\r\n                  {image.magnification && (\r\n                    <span className=\"text-xs bg-gray-100 px-2 py-0.5 rounded text-gray-600\">\r\n                      {image.magnification}\r\n                    </span>\r\n                  )}\r\n                  {image.staining && (\r\n                    <span className=\"text-xs bg-gray-100 px-2 py-0.5 rounded text-gray-600\">\r\n                      {image.staining}\r\n                    </span>\r\n                  )}\r\n                </div>\r\n              </div>\r\n            )}\r\n          </div>\r\n        ))}\r\n      </div>\r\n\r\n      {/* 大图预览模态框 */}\r\n      {selectedIndex !== null && (\r\n        <div\r\n          className=\"fixed inset-0 z-50 bg-black/90 flex items-center justify-center\"\r\n          onClick={closePreview}\r\n        >\r\n          {/* 工具栏 */}\r\n          <div className=\"absolute top-4 right-4 flex gap-2 z-10\">\r\n            <button\r\n              className=\"p-2 bg-white/10 hover:bg-white/20 rounded-full text-white transition-colors\"\r\n              onClick={(e) => {\r\n                e.stopPropagation();\r\n                handleZoom(-0.25);\r\n              }}\r\n            >\r\n              <ZoomOut className=\"w-5 h-5\" />\r\n            </button>\r\n            <button\r\n              className=\"p-2 bg-white/10 hover:bg-white/20 rounded-full text-white transition-colors\"\r\n              onClick={(e) => {\r\n                e.stopPropagation();\r\n                handleZoom(0.25);\r\n              }}\r\n            >\r\n              <ZoomIn className=\"w-5 h-5\" />\r\n            </button>\r\n            <a\r\n              href={images[selectedIndex].url}\r\n              target=\"_blank\"\r\n              rel=\"noopener noreferrer\"\r\n              className=\"p-2 bg-white/10 hover:bg-white/20 rounded-full text-white transition-colors\"\r\n              onClick={(e) => e.stopPropagation()}\r\n            >\r\n              <ExternalLink className=\"w-5 h-5\" />\r\n            </a>\r\n            <button\r\n              className=\"p-2 bg-white/10 hover:bg-white/20 rounded-full text-white transition-colors\"\r\n              onClick={closePreview}\r\n            >\r\n              <X className=\"w-5 h-5\" />\r\n            </button>\r\n          </div>\r\n\r\n          {/* 图片计数 */}\r\n          <div className=\"absolute top-4 left-4 text-white/80 text-sm\">\r\n            {selectedIndex + 1} / {images.length}\r\n          </div>\r\n\r\n          {/* 左箭头 */}\r\n          {selectedIndex > 0 && (\r\n            <button\r\n              className=\"absolute left-4 p-3 bg-white/10 hover:bg-white/20 rounded-full text-white transition-colors\"\r\n              onClick={(e) => {\r\n                e.stopPropagation();\r\n                prevImage();\r\n              }}\r\n            >\r\n              <ChevronLeft className=\"w-6 h-6\" />\r\n            </button>\r\n          )}\r\n\r\n          {/* 图片 */}\r\n          <div\r\n            className=\"max-w-[90vw] max-h-[85vh] overflow-auto\"\r\n            onClick={(e) => e.stopPropagation()}\r\n          >\r\n            <img\r\n              src={images[selectedIndex].url}\r\n              alt={images[selectedIndex].title}\r\n              className=\"max-w-none transition-transform duration-200\"\r\n              style={{ transform: `scale(${zoom})`, transformOrigin: \"center\" }}\r\n            />\r\n          </div>\r\n\r\n          {/* 右箭头 */}\r\n          {selectedIndex < images.length - 1 && (\r\n            <button\r\n              className=\"absolute right-4 p-3 bg-white/10 hover:bg-white/20 rounded-full text-white transition-colors\"\r\n              onClick={(e) => {\r\n                e.stopPropagation();\r\n                nextImage();\r\n              }}\r\n            >\r\n              <ChevronRight className=\"w-6 h-6\" />\r\n            </button>\r\n          )}\r\n\r\n          {/* 底部信息 */}\r\n          <div className=\"absolute bottom-4 left-0 right-0 text-center text-white\">\r\n            <h3 className=\"text-lg font-medium\">{images[selectedIndex].title}</h3>\r\n            <p className=\"text-sm text-white/70 mt-1\">\r\n              {getCategoryName(images[selectedIndex].category)}\r\n              {images[selectedIndex].magnification && ` · ${images[selectedIndex].magnification}`}\r\n              {images[selectedIndex].staining && ` · ${images[selectedIndex].staining}`}\r\n            </p>\r\n            {images[selectedIndex].description && (\r\n              <p className=\"text-sm text-white/60 mt-2 max-w-2xl mx-auto\">\r\n                {images[selectedIndex].description}\r\n              </p>\r\n            )}\r\n          </div>\r\n        </div>\r\n      )}\r\n    </div>\r\n  );\r\n};\r\n\r\nexport default PathologyImageGallery;\r\n"
  },
  {
    "path": "pathology-ai/code-changes/frontend/SourceTag.tsx",
    "content": "\"use client\";\r\n\r\nimport React from \"react\";\r\nimport { Database, Globe, BookOpen, FileText, Sparkles } from \"lucide-react\";\r\n\r\n// 来源类型\r\nexport type SourceType = \"internal\" | \"external\" | \"knowledge\" | \"reference\" | \"ai\";\r\n\r\n// 组件属性\r\ninterface SourceTagProps {\r\n  type: SourceType;\r\n  weight?: number;\r\n  className?: string;\r\n  size?: \"sm\" | \"md\" | \"lg\";\r\n  showIcon?: boolean;\r\n  showWeight?: boolean;\r\n}\r\n\r\n// 来源配置\r\nconst sourceConfig: Record<SourceType, {\r\n  label: string;\r\n  labelEn: string;\r\n  color: string;\r\n  bgColor: string;\r\n  borderColor: string;\r\n  icon: React.ReactNode;\r\n  description: string;\r\n}> = {\r\n  internal: {\r\n    label: \"内部\",\r\n    labelEn: \"Internal\",\r\n    color: \"text-blue-700\",\r\n    bgColor: \"bg-blue-50\",\r\n    borderColor: \"border-blue-200\",\r\n    icon: <Database className=\"w-3 h-3\" />,\r\n    description: \"来自本地知识库\",\r\n  },\r\n  external: {\r\n    label: \"外部\",\r\n    labelEn: \"External\",\r\n    color: \"text-purple-700\",\r\n    bgColor: \"bg-purple-50\",\r\n    borderColor: \"border-purple-200\",\r\n    icon: <Globe className=\"w-3 h-3\" />,\r\n    description: \"来自网络搜索\",\r\n  },\r\n  knowledge: {\r\n    label: \"知识库\",\r\n    labelEn: \"Knowledge\",\r\n    color: \"text-green-700\",\r\n    bgColor: \"bg-green-50\",\r\n    borderColor: \"border-green-200\",\r\n    icon: <BookOpen className=\"w-3 h-3\" />,\r\n    description: \"来自专业知识库\",\r\n  },\r\n  reference: {\r\n    label: \"参考\",\r\n    labelEn: \"Reference\",\r\n    color: \"text-orange-700\",\r\n    bgColor: \"bg-orange-50\",\r\n    borderColor: \"border-orange-200\",\r\n    icon: <FileText className=\"w-3 h-3\" />,\r\n    description: \"参考文献来源\",\r\n  },\r\n  ai: {\r\n    label: \"AI分析\",\r\n    labelEn: \"AI\",\r\n    color: \"text-indigo-700\",\r\n    bgColor: \"bg-indigo-50\",\r\n    borderColor: \"border-indigo-200\",\r\n    icon: <Sparkles className=\"w-3 h-3\" />,\r\n    description: \"AI生成内容\",\r\n  },\r\n};\r\n\r\n// 尺寸配置\r\nconst sizeConfig = {\r\n  sm: {\r\n    padding: \"px-1.5 py-0.5\",\r\n    text: \"text-xs\",\r\n    iconSize: \"w-3 h-3\",\r\n    gap: \"gap-1\",\r\n  },\r\n  md: {\r\n    padding: \"px-2 py-1\",\r\n    text: \"text-sm\",\r\n    iconSize: \"w-3.5 h-3.5\",\r\n    gap: \"gap-1.5\",\r\n  },\r\n  lg: {\r\n    padding: \"px-3 py-1.5\",\r\n    text: \"text-base\",\r\n    iconSize: \"w-4 h-4\",\r\n    gap: \"gap-2\",\r\n  },\r\n};\r\n\r\nexport const SourceTag: React.FC<SourceTagProps> = ({\r\n  type,\r\n  weight,\r\n  className = \"\",\r\n  size = \"sm\",\r\n  showIcon = true,\r\n  showWeight = false,\r\n}) => {\r\n  const config = sourceConfig[type];\r\n  const sizeStyle = sizeConfig[size];\r\n\r\n  return (\r\n    <span\r\n      className={`inline-flex items-center ${sizeStyle.gap} ${sizeStyle.padding} ${sizeStyle.text} font-medium rounded-full border ${config.bgColor} ${config.borderColor} ${config.color} ${className}`}\r\n      title={config.description}\r\n    >\r\n      {showIcon && config.icon}\r\n      <span>{config.label}</span>\r\n      {showWeight && weight !== undefined && (\r\n        <span className=\"opacity-70\">({weight}%)</span>\r\n      )}\r\n    </span>\r\n  );\r\n};\r\n\r\n// 内部标签快捷组件\r\nexport const InternalTag: React.FC<Omit<SourceTagProps, \"type\">> = (props) => (\r\n  <SourceTag type=\"internal\" {...props} />\r\n);\r\n\r\n// 外部标签快捷组件\r\nexport const ExternalTag: React.FC<Omit<SourceTagProps, \"type\">> = (props) => (\r\n  <SourceTag type=\"external\" {...props} />\r\n);\r\n\r\n// 综合结论标签\r\nexport const ConclusionTag: React.FC<{ className?: string }> = ({ className = \"\" }) => (\r\n  <span\r\n    className={`inline-flex items-center gap-1 px-2 py-1 text-sm font-semibold rounded-full bg-gradient-to-r from-blue-500 to-purple-500 text-white ${className}`}\r\n  >\r\n    <Sparkles className=\"w-3.5 h-3.5\" />\r\n    综合结论\r\n  </span>\r\n);\r\n\r\n// 解析消息中的来源标签\r\nexport const parseSourceTags = (text: string): React.ReactNode[] => {\r\n  const parts: React.ReactNode[] = [];\r\n  const regex = /\\[内部\\]|\\[外部\\]|\\[内部知识库\\]|\\[外部最新信息\\]|\\[外部最新\\]|\\*\\*\\[内部\\]\\*\\*|\\*\\*\\[外部\\]\\*\\*|\\*\\*\\[内部知识库\\]\\*\\*|\\*\\*\\[外部最新信息\\]\\*\\*|\\*\\*综合结论\\*\\*/g;\r\n  \r\n  let lastIndex = 0;\r\n  let match;\r\n\r\n  while ((match = regex.exec(text)) !== null) {\r\n    // 添加匹配前的文本\r\n    if (match.index > lastIndex) {\r\n      parts.push(text.slice(lastIndex, match.index));\r\n    }\r\n\r\n    // 添加标签组件\r\n    const matchText = match[0].replace(/\\*\\*/g, \"\");\r\n    if (matchText.includes(\"内部\")) {\r\n      parts.push(<InternalTag key={match.index} weight={60} showWeight />);\r\n    } else if (matchText.includes(\"外部\")) {\r\n      parts.push(<ExternalTag key={match.index} weight={40} showWeight />);\r\n    } else if (matchText.includes(\"综合结论\")) {\r\n      parts.push(<ConclusionTag key={match.index} />);\r\n    }\r\n\r\n    lastIndex = regex.lastIndex;\r\n  }\r\n\r\n  // 添加剩余文本\r\n  if (lastIndex < text.length) {\r\n    parts.push(text.slice(lastIndex));\r\n  }\r\n\r\n  return parts.length > 0 ? parts : [text];\r\n};\r\n\r\nexport default SourceTag;\r\n"
  },
  {
    "path": "pathology-ai/code-changes/frontend/chatLeftSidebar.tsx",
    "content": "import { useState, useRef, useEffect } from \"react\";\nimport {\n  Clock,\n  Plus,\n  Pencil,\n  Trash2,\n  MoreHorizontal,\n  ChevronLeft,\n  ChevronRight,\n  Trash,\n} from \"lucide-react\";\nimport { useRouter } from \"next/navigation\";\n\nimport { Button } from \"@/components/ui/button\";\nimport {\n  DropdownMenu,\n  DropdownMenuContent,\n  DropdownMenuItem,\n  DropdownMenuTrigger,\n} from \"@/components/ui/dropdownMenu\";\nimport { Input } from \"@/components/ui/input\";\nimport {\n  Dialog,\n  DialogContent,\n  DialogDescription,\n  DialogFooter,\n  DialogHeader,\n  DialogTitle,\n} from \"@/components/ui/dialog\";\nimport {\n  Tooltip,\n  TooltipContent,\n  TooltipProvider,\n  TooltipTrigger,\n} from \"@/components/ui/tooltip\";\nimport { StaticScrollArea } from \"@/components/ui/scrollArea\";\nimport { USER_ROLES } from \"@/const/modelConfig\";\nimport { useTranslation } from \"react-i18next\";\nimport { ConversationListItem, ChatSidebarProps } from \"@/types/chat\";\n\n// conversation status indicator component\nconst ConversationStatusIndicator = ({\n  isStreaming,\n  isCompleted,\n}: {\n  isStreaming: boolean;\n  isCompleted: boolean;\n}) => {\n  const { t } = useTranslation();\n\n  if (isStreaming) {\n    return (\n      <div\n        className=\"flex-shrink-0 w-2 h-2 bg-green-500 rounded-full mr-2 animate-pulse\"\n        title={t(\"chatLeftSidebar.running\")}\n      />\n    );\n  }\n\n  if (isCompleted) {\n    return (\n      <div\n        className=\"flex-shrink-0 w-2 h-2 bg-blue-500 rounded-full mr-2\"\n        title={t(\"chatLeftSidebar.completed\")}\n      />\n    );\n  }\n\n  return null;\n};\n\n\n// Helper function - dialog classification\nconst categorizeDialogs = (dialogs: ConversationListItem[]) => {\n  const now = new Date();\n  const today = new Date(\n    now.getFullYear(),\n    now.getMonth(),\n    now.getDate()\n  ).getTime();\n  const weekAgo = today - 7 * 24 * 60 * 60 * 1000;\n\n  const todayDialogs: ConversationListItem[] = [];\n  const weekDialogs: ConversationListItem[] = [];\n  const olderDialogs: ConversationListItem[] = [];\n\n  dialogs.forEach((dialog) => {\n    const dialogTime = dialog.create_time;\n\n    if (dialogTime >= today) {\n      todayDialogs.push(dialog);\n    } else if (dialogTime >= weekAgo) {\n      weekDialogs.push(dialog);\n    } else {\n      olderDialogs.push(dialog);\n    }\n  });\n\n  return {\n    today: todayDialogs,\n    week: weekDialogs,\n    older: olderDialogs,\n  };\n};\n\nexport function ChatSidebar({\n  conversationList,\n  selectedConversationId,\n  openDropdownId,\n  streamingConversations,\n  completedConversations,\n  onNewConversation,\n  onDialogClick,\n  onRename,\n  onDelete,\n  onSettingsClick,\n  settingsMenuItems,\n  onDropdownOpenChange,\n  onToggleSidebar,\n  expanded,\n  userEmail,\n  userAvatarUrl,\n  userRole = USER_ROLES.USER,\n}: ChatSidebarProps) {\n  const { t } = useTranslation();\n  const router = useRouter();\n  const { today, week, older } = categorizeDialogs(conversationList);\n  const [editingId, setEditingId] = useState<number | null>(null);\n  const [editingTitle, setEditingTitle] = useState(\"\");\n  const inputRef = useRef<HTMLInputElement>(null);\n\n  // Add delete dialog status\n  const [isDeleteDialogOpen, setIsDeleteDialogOpen] = useState(false);\n  const [dialogToDelete, setDialogToDelete] = useState<number | null>(null);\n  \n  // Add delete all dialog status\n  const [isDeleteAllDialogOpen, setIsDeleteAllDialogOpen] = useState(false);\n  const [isDeleting, setIsDeleting] = useState(false);\n\n  const [animationComplete, setAnimationComplete] = useState(false);\n\n  useEffect(() => {\n    // Reset animation state when expanded changes\n    setAnimationComplete(false);\n\n    // Set animation complete after the transition duration (200ms)\n    const timer = setTimeout(() => {\n      setAnimationComplete(true);\n    }, 200);\n\n    return () => clearTimeout(timer);\n  }, [expanded]);\n\n  // Handle edit start\n  const handleStartEdit = (dialogId: number, title: string) => {\n    setEditingId(dialogId);\n    setEditingTitle(title);\n    // Close any open dropdown menus\n    onDropdownOpenChange(false, null);\n\n    // Use setTimeout to ensure that the input box is focused after the DOM is updated\n    setTimeout(() => {\n      if (inputRef.current) {\n        inputRef.current.focus();\n        inputRef.current.select();\n      }\n    }, 10);\n  };\n\n  // Handle edit submission\n  const handleSubmitEdit = () => {\n    if (editingId !== null && editingTitle.trim()) {\n      onRename(editingId, editingTitle.trim());\n      setEditingId(null);\n    }\n  };\n\n  // Handle edit cancellation\n  const handleCancelEdit = () => {\n    setEditingId(null);\n  };\n\n  // Handle key events\n  const handleKeyDown = (e: React.KeyboardEvent) => {\n    if (e.key === \"Enter\") {\n      handleSubmitEdit();\n    } else if (e.key === \"Escape\") {\n      handleCancelEdit();\n    }\n  };\n\n  // Handle delete click\n  const handleDeleteClick = (dialogId: number) => {\n    setDialogToDelete(dialogId);\n    setIsDeleteDialogOpen(true);\n    // Close dropdown menus\n    onDropdownOpenChange(false, null);\n  };\n\n  // Confirm delete\n  const confirmDelete = () => {\n    if (dialogToDelete !== null) {\n      onDelete(dialogToDelete);\n      setIsDeleteDialogOpen(false);\n      setDialogToDelete(null);\n    }\n  };\n\n  // Handle delete all click\n  const handleDeleteAllClick = () => {\n    if (conversationList.length > 0) {\n      setIsDeleteAllDialogOpen(true);\n    }\n  };\n\n  // Confirm delete all\n  const confirmDeleteAll = async () => {\n    setIsDeleting(true);\n    try {\n      for (const conv of conversationList) {\n        await onDelete(conv.conversation_id);\n      }\n    } finally {\n      setIsDeleting(false);\n      setIsDeleteAllDialogOpen(false);\n    }\n  };\n\n  // Render dialog list items\n  const renderDialogList = (dialogs: ConversationListItem[], title: string) => {\n    if (dialogs.length === 0) return null;\n\n    return (\n      <div className=\"space-y-1\">\n        <p\n          className=\"px-2 pr-3 text-sm font-medium text-gray-500 tracking-wide font-sans py-1\"\n          style={{\n            fontWeight: \"bold\",\n            color: \"#4d4d4d\",\n            backgroundColor: \"rgb(242 248 255)\",\n            fontSize: \"16px\",\n            whiteSpace: \"nowrap\",\n          }}\n        >\n          {title}\n        </p>\n        {dialogs.map((dialog) => (\n          <div\n            key={dialog.conversation_id}\n            className={`flex items-center group rounded-md ${\n              selectedConversationId === dialog.conversation_id\n                ? \"bg-blue-100\"\n                : \"hover:bg-slate-100\"\n            }`}\n          >\n            {editingId === dialog.conversation_id ? (\n              // Edit mode\n              <div className=\"flex-1 px-3 py-2\">\n                <Input\n                  ref={inputRef}\n                  value={editingTitle}\n                  onChange={(e) => setEditingTitle(e.target.value)}\n                  onKeyDown={handleKeyDown}\n                  onBlur={handleSubmitEdit}\n                  className=\"h-8 text-base\"\n                  autoFocus\n                />\n              </div>\n            ) : (\n              // Display mode\n              <>\n                <TooltipProvider>\n                  <Tooltip>\n                    <TooltipTrigger asChild>\n                      <Button\n                        variant=\"ghost\"\n                        className=\"flex-1 justify-start text-left hover:bg-transparent min-w-0 max-w-[250px]\"\n                        onClick={() => onDialogClick(dialog)}\n                      >\n                        <ConversationStatusIndicator\n                          isStreaming={streamingConversations.has(\n                            dialog.conversation_id\n                          )}\n                          isCompleted={completedConversations.has(\n                            dialog.conversation_id\n                          )}\n                        />\n                        <span className=\"truncate block text-base font-normal text-gray-800 tracking-wide font-sans\">\n                          {dialog.conversation_title}\n                        </span>\n                      </Button>\n                    </TooltipTrigger>\n                    <TooltipContent side=\"right\" className=\"max-w-xs\">\n                      <p className=\"break-words\">{dialog.conversation_title}</p>\n                    </TooltipContent>\n                  </Tooltip>\n                </TooltipProvider>\n\n                <DropdownMenu\n                  open={openDropdownId === dialog.conversation_id.toString()}\n                  onOpenChange={(open) =>\n                    onDropdownOpenChange(\n                      open,\n                      dialog.conversation_id.toString()\n                    )\n                  }\n                >\n                  <DropdownMenuTrigger asChild>\n                    <Button\n                      variant=\"ghost\"\n                      size=\"icon\"\n                      className=\"h-6 w-6 flex-shrink-0 opacity-0 group-hover:opacity-100 hover:bg-slate-100 hover:border hover:border-slate-200 mr-1 focus:outline-none focus:ring-0\"\n                    >\n                      <MoreHorizontal className=\"h-4 w-4\" />\n                    </Button>\n                  </DropdownMenuTrigger>\n                  <DropdownMenuContent align=\"end\" side=\"bottom\">\n                    <DropdownMenuItem\n                      onClick={() =>\n                        handleStartEdit(\n                          dialog.conversation_id,\n                          dialog.conversation_title\n                        )\n                      }\n                    >\n                      <Pencil className=\"mr-2 h-5 w-5\" />\n                      {t(\"chatLeftSidebar.rename\")}\n                    </DropdownMenuItem>\n                    <DropdownMenuItem\n                      className=\"text-red-500 hover:text-red-600 hover:bg-red-50\"\n                      onClick={() => handleDeleteClick(dialog.conversation_id)}\n                    >\n                      <Trash2 className=\"mr-2 h-5 w-5\" />\n                      {t(\"chatLeftSidebar.delete\")}\n                    </DropdownMenuItem>\n                  </DropdownMenuContent>\n                </DropdownMenu>\n              </>\n            )}\n          </div>\n        ))}\n      </div>\n    );\n  };\n\n  // Render collapsed state sidebar\n  const renderCollapsedSidebar = () => {\n    return (\n      <>\n        {/* Expand/Collapse button */}\n        <div className=\"py-3 flex justify-center\">\n          <TooltipProvider>\n            <Tooltip>\n              <TooltipTrigger asChild>\n                <Button\n                  variant=\"ghost\"\n                  size=\"icon\"\n                  className=\"h-10 w-10 rounded-full hover:bg-slate-100\"\n                  onClick={onToggleSidebar}\n                >\n                  <ChevronRight className=\"h-6 w-6\" strokeWidth={2.5} />\n                </Button>\n              </TooltipTrigger>\n              <TooltipContent side=\"right\">\n                {t(\"chatLeftSidebar.expandSidebar\")}\n              </TooltipContent>\n            </Tooltip>\n          </TooltipProvider>\n        </div>\n\n        {/* New conversation button */}\n        <div className=\"py-3 flex justify-center\">\n          <TooltipProvider>\n            <Tooltip>\n              <TooltipTrigger asChild>\n                <Button\n                  variant=\"ghost\"\n                  size=\"icon\"\n                  className=\"h-10 w-10 rounded-full hover:bg-slate-100\"\n                  onClick={onNewConversation}\n                >\n                  <Plus className=\"h-6 w-6\" strokeWidth={2.5} />\n                </Button>\n              </TooltipTrigger>\n              <TooltipContent side=\"right\">\n                {t(\"chatLeftSidebar.newConversation\")}\n              </TooltipContent>\n            </Tooltip>\n          </TooltipProvider>\n        </div>\n\n        {/* Spacer */}\n        <div className=\"flex-1\" />\n      </>\n    );\n  };\n\n  return (\n    <>\n      <div\n        className=\"hidden md:flex w-64 flex-col border-r border-transparent bg-primary/5 text-base transition-all duration-300 ease-in-out overflow-hidden\"\n        style={{ width: expanded ? \"300px\" : \"70px\" }}\n      >\n        {expanded || !animationComplete ? (\n          <div className=\"hidden md:flex flex-col h-full overflow-hidden\">\n            <div className=\"m-4 mt-3\">\n              <div className=\"flex items-center gap-2\">\n                <Button\n                  variant=\"outline\"\n                  className=\"flex-1 justify-start text-base overflow-hidden\"\n                  onClick={onNewConversation}\n                >\n                  <Plus\n                    className=\"mr-2 flex-shrink-0\"\n                    style={{ height: \"20px\", width: \"20px\" }}\n                  />\n                  <span className=\"truncate\">\n                    {t(\"chatLeftSidebar.newConversation\")}\n                  </span>\n                </Button>\n                <TooltipProvider>\n                  <Tooltip>\n                    <TooltipTrigger asChild>\n                      <Button\n                        variant=\"ghost\"\n                        size=\"icon\"\n                        className=\"h-10 w-10 flex-shrink-0 hover:bg-slate-100\"\n                        onClick={onToggleSidebar}\n                      >\n                        <ChevronLeft className=\"h-5 w-5\" />\n                      </Button>\n                    </TooltipTrigger>\n                    <TooltipContent>\n                      <p>{t(\"chatLeftSidebar.collapseSidebar\")}</p>\n                    </TooltipContent>\n                  </Tooltip>\n                </TooltipProvider>\n              </div>\n            </div>\n\n            <StaticScrollArea className=\"flex-1 m-2\">\n              <div className=\"space-y-4 pr-2\">\n                {conversationList.length > 0 ? (\n                  <>\n                    {renderDialogList(today, t(\"chatLeftSidebar.today\"))}\n                    {renderDialogList(week, t(\"chatLeftSidebar.last7Days\"))}\n                    {renderDialogList(older, t(\"chatLeftSidebar.older\"))}\n                  </>\n                ) : (\n                  <div className=\"space-y-1\">\n                    <p className=\"px-2 text-sm font-medium text-muted-foreground\">\n                      {t(\"chatLeftSidebar.recentConversations\")}\n                    </p>\n                    <Button variant=\"ghost\" className=\"w-full justify-start\">\n                      <Clock className=\"mr-2 h-5 w-5\" />\n                      {t(\"chatLeftSidebar.noHistory\")}\n                    </Button>\n                  </div>\n                )}\n              </div>\n            </StaticScrollArea>\n\n            {/* Delete all button */}\n            {conversationList.length > 0 && (\n              <div className=\"p-2 border-t border-slate-200\">\n                <Button\n                  variant=\"ghost\"\n                  className=\"w-full justify-start text-red-500 hover:text-red-600 hover:bg-red-50\"\n                  onClick={handleDeleteAllClick}\n                >\n                  <Trash className=\"mr-2 h-4 w-4\" />\n                  {t(\"chatLeftSidebar.deleteAll\", { defaultValue: \"清空所有对话\" })}\n                </Button>\n              </div>\n            )}\n          </div>\n        ) : (\n          renderCollapsedSidebar()\n        )}\n      </div>\n\n      {/* Delete confirmation dialog */}\n      <Dialog open={isDeleteDialogOpen} onOpenChange={setIsDeleteDialogOpen}>\n        <DialogContent className=\"sm:max-w-[425px]\">\n          <DialogHeader>\n            <DialogTitle>\n              {t(\"chatLeftSidebar.confirmDeletionTitle\")}\n            </DialogTitle>\n            <DialogDescription>\n              {t(\"chatLeftSidebar.confirmDeletionDescription\")}\n            </DialogDescription>\n          </DialogHeader>\n          <DialogFooter>\n            <Button\n              variant=\"outline\"\n              onClick={() => setIsDeleteDialogOpen(false)}\n            >\n              {t(\"chatLeftSidebar.cancel\")}\n            </Button>\n            <Button variant=\"destructive\" onClick={confirmDelete}>\n              {t(\"chatLeftSidebar.delete\")}\n            </Button>\n          </DialogFooter>\n        </DialogContent>\n      </Dialog>\n\n      {/* Delete all confirmation dialog */}\n      <Dialog open={isDeleteAllDialogOpen} onOpenChange={setIsDeleteAllDialogOpen}>\n        <DialogContent className=\"sm:max-w-[425px]\">\n          <DialogHeader>\n            <DialogTitle>\n              {t(\"chatLeftSidebar.confirmDeleteAllTitle\", { defaultValue: \"确认清空所有对话\" })}\n            </DialogTitle>\n            <DialogDescription>\n              {t(\"chatLeftSidebar.confirmDeleteAllDescription\", { \n                defaultValue: `确定要删除全部 ${conversationList.length} 个对话吗？此操作不可恢复。`,\n                count: conversationList.length \n              })}\n            </DialogDescription>\n          </DialogHeader>\n          <DialogFooter>\n            <Button\n              variant=\"outline\"\n              onClick={() => setIsDeleteAllDialogOpen(false)}\n              disabled={isDeleting}\n            >\n              {t(\"chatLeftSidebar.cancel\")}\n            </Button>\n            <Button \n              variant=\"destructive\" \n              onClick={confirmDeleteAll}\n              disabled={isDeleting}\n            >\n              {isDeleting \n                ? t(\"chatLeftSidebar.deleting\", { defaultValue: \"删除中...\" })\n                : t(\"chatLeftSidebar.deleteAll\", { defaultValue: \"清空全部\" })\n              }\n            </Button>\n          </DialogFooter>\n        </DialogContent>\n      </Dialog>\n    </>\n  );\n}\n"
  },
  {
    "path": "pathology-ai/code-changes/frontend/conversationService.ts",
    "content": "import { API_ENDPOINTS, ApiError } from './api';\n\nimport { chatConfig } from '@/const/chatConfig';\nimport type { \n  ConversationListResponse, \n  ConversationListItem,\n  ApiConversationResponse\n} from '@/types/conversation';\nimport { getAuthHeaders, fetchWithAuth } from '@/lib/auth';\nimport log from \"@/lib/logger\";\n\n// @ts-ignore\nconst fetch = fetchWithAuth;\n\n// This helper function now ALWAYS connects through the current host and port.\n// This relies on our custom `server.js` to handle the proxying in all environments.\nconst getWebSocketUrl = (endpoint: string): string => {\n  const protocol = window.location.protocol === 'https:' ? 'wss:' : 'ws:';\n  const wsUrl = `${protocol}//${window.location.host}${endpoint}`;\n  log.log(`[WebSocket] Connecting via server proxy: ${wsUrl}`);\n  return wsUrl;\n};\n\nexport const conversationService = {\n  // Get conversation list\n  async getList(): Promise<ConversationListItem[]> {\n    const response = await fetch(API_ENDPOINTS.conversation.list);\n\n    const data = await response.json() as ConversationListResponse;\n    \n    if (data.code === 0) {\n      return data.data || [];\n    }\n    \n    throw new ApiError(data.code, data.message);\n  },\n\n  // Create new conversation\n  async create(title?: string) {\n    const response = await fetch(API_ENDPOINTS.conversation.create, {\n      method: 'PUT',\n      headers: getAuthHeaders(),\n      body: JSON.stringify({\n        title: title || \"new conversation\"\n      }),\n    });\n\n    const data = await response.json();\n    \n    if (data.code === 0) {\n      return data.data;\n    }\n    \n    throw new ApiError(data.code, data.message);\n  },\n\n  // Rename conversation\n  async rename(conversationId: number, name: string) {\n    const response = await fetch(API_ENDPOINTS.conversation.rename, {\n      method: 'POST',\n      headers: getAuthHeaders(),\n      body: JSON.stringify({\n        conversation_id: conversationId,\n        name,\n      }),\n    });\n\n    const data = await response.json();\n    \n    if (data.code === 0) {\n      return data.data;\n    }\n    \n    throw new ApiError(data.code, data.message);\n  },\n\n  // Get conversation details\n  async getDetail(conversationId: number, signal?: AbortSignal): Promise<ApiConversationResponse> {\n    try {\n      const response = await fetch(API_ENDPOINTS.conversation.detail(conversationId), {\n        method: 'GET',\n        headers: getAuthHeaders(),\n        signal,\n      });\n\n      // If the signal is aborted before the request returns, return early\n      if (signal?.aborted) {\n        return { code: -1, message: \"请求已取消\", data: [] };\n      }\n\n      const data = await response.json();\n      \n      if (data.code === 0) {\n        return data;\n      }\n      \n      throw new ApiError(data.code, data.message);\n    } catch (error: any) {\n      // If the error is caused by canceling the request, return a specific response instead of throwing an error\n      if (error instanceof Error && error.name === 'AbortError' || signal?.aborted) {\n        return { code: -1, message: \"请求已取消\", data: [] };\n      }\n      throw error;\n    }\n  },\n\n  // Delete conversation\n  async delete(conversationId: number) {\n    const response = await fetch(API_ENDPOINTS.conversation.delete(conversationId), {\n      method: 'DELETE',\n      headers: getAuthHeaders(),\n    });\n\n    const data = await response.json();\n    \n    if (data.code === 0) {\n      return true;\n    }\n    \n    throw new ApiError(data.code, data.message);\n  },\n\n  // Delete all conversations\n  async deleteAll(conversationIds: number[]) {\n    const results = await Promise.allSettled(\n      conversationIds.map(id => this.delete(id))\n    );\n    const successCount = results.filter(r => r.status === 'fulfilled').length;\n    return { successCount, totalCount: conversationIds.length };\n  },\n\n  // Stop conversation agent\n  async stop(conversationId: number) {\n    const response = await fetch(API_ENDPOINTS.agent.stop(conversationId), {\n      method: 'GET',\n      headers: getAuthHeaders(),\n    });\n\n    const data = await response.json();\n    \n    if (data.status === 'success') {\n      return true;\n    }\n    \n    throw new ApiError(data.code || -1, data.message || data.detail || '停止失败');\n  },\n\n  // STT related functionality\n  stt: {\n    // Create WebSocket connection\n    createWebSocket(): WebSocket {\n      return new WebSocket(getWebSocketUrl(API_ENDPOINTS.stt.ws));\n    },\n\n    // Process audio data\n    processAudioData(inputData: Float32Array): Int16Array {\n      const pcmData = new Int16Array(inputData.length);\n      for (let i = 0; i < inputData.length; i++) {\n        const s = Math.max(-1, Math.min(1, inputData[i]));\n        pcmData[i] = s < 0 ? s * 0x8000 : s * 0x7FFF;\n      }\n      return pcmData;\n    },\n\n    // Get audio configuration\n    getAudioConstraints() {\n      return {\n        audio: {\n          sampleRate: 16000,\n          channelCount: 1,\n          echoCancellation: true,\n          noiseSuppression: true,\n          autoGainControl: true,\n        }\n      };\n    },\n\n    // Get audio context configuration\n    getAudioContextOptions() {\n      return {\n        sampleRate: 16000,\n      };\n    }\n  },\n\n  // Add TTS related functionality\n  tts: {\n    // Create WebSocket connection\n    // TODO: explain why we need to create a WebSocket connection for TTS\n    createWebSocket(): WebSocket {\n      return new WebSocket(getWebSocketUrl(API_ENDPOINTS.tts.ws));\n    },\n\n    // TTS playback status management\n    createTTSService() {\n      const audioRef = { current: null as HTMLAudioElement | null };\n      const wsRef = { current: null as WebSocket | null };\n      const audioChunksRef = { current: [] as Uint8Array[] };\n      const mediaSourceRef = { current: null as MediaSource | null };\n      const sourceBufferRef = { current: null as SourceBuffer | null };\n      const isStreamingPlaybackRef = { current: false };\n      const pendingChunksRef = { current: [] as Uint8Array[] };\n\n      // Play audio (main entry)\n      const playAudio = async (text: string, onStatusChange?: (status: typeof chatConfig.ttsStatus[keyof typeof chatConfig.ttsStatus]) => void): Promise<void> => {\n        if (!text) return;\n\n        try {\n          onStatusChange?.(chatConfig.ttsStatus.GENERATING);\n          audioChunksRef.current = [];\n          pendingChunksRef.current = [];\n\n          if (!window.MediaSource) {\n            await playAudioTraditional(text, onStatusChange);\n            return;\n          }\n\n          await initStreamingPlayback(onStatusChange);\n          \n          const wsUrl = getWebSocketUrl(API_ENDPOINTS.tts.ws);\n          const ws = new WebSocket(wsUrl);\n          wsRef.current = ws;\n\n          ws.onopen = () => {\n            if (ws.readyState === WebSocket.OPEN) {\n              ws.send(JSON.stringify({ text }));\n            }\n          };\n\n          ws.onmessage = async (event) => {\n            try {\n              if (event.data instanceof Blob) {\n                const arrayBuffer = await event.data.arrayBuffer();\n                const uint8Array = new Uint8Array(arrayBuffer);\n                if (uint8Array.length > 0) {\n                  if (isStreamingPlaybackRef.current) {\n                    await handleStreamingAudioChunk(uint8Array, onStatusChange);\n                  } else {\n                    audioChunksRef.current.push(uint8Array);\n                  }\n                }\n              } else if (event.data instanceof ArrayBuffer) {\n                const uint8Array = new Uint8Array(event.data);\n                if (uint8Array.length > 0) {\n                  if (isStreamingPlaybackRef.current) {\n                    await handleStreamingAudioChunk(uint8Array, onStatusChange);\n                  } else {\n                    audioChunksRef.current.push(uint8Array);\n                  }\n                }\n              } else if (typeof event.data === 'string') {\n                try {\n                  const data = JSON.parse(event.data);\n                  if (data.status === 'completed') {\n                    if (isStreamingPlaybackRef.current) {\n                      await finalizeStreamingPlayback();\n                    } else {\n                      if (audioChunksRef.current.length > 0) {\n                        playAudioChunks(onStatusChange);\n                      } else {\n                        onStatusChange?.(chatConfig.ttsStatus.ERROR);\n                        setTimeout(() => onStatusChange?.(chatConfig.ttsStatus.IDLE), 2000);\n                      }\n                    }\n                    \n                    setTimeout(() => {\n                      if (wsRef.current) {\n                        wsRef.current.close();\n                        wsRef.current = null;\n                      }\n                    }, 100);\n                  } else if (data.error) {\n                    onStatusChange?.(chatConfig.ttsStatus.ERROR);\n                    setTimeout(() => onStatusChange?.(chatConfig.ttsStatus.IDLE), 2000);\n                    cleanupStreamingPlayback();\n                    if (wsRef.current) {\n                      wsRef.current.close();\n                      wsRef.current = null;\n                    }\n                  }\n                } catch (e) {\n                  // JSON parse error\n                }\n              }\n            } catch (error) {\n              // Message handling error\n            }\n          };\n\n          ws.onerror = () => {\n            onStatusChange?.(chatConfig.ttsStatus.ERROR);\n            setTimeout(() => onStatusChange?.(chatConfig.ttsStatus.IDLE), 2000);\n            cleanupStreamingPlayback();\n          };\n\n          ws.onclose = (event) => {\n            wsRef.current = null;\n            if (event.code !== 1000) {\n              onStatusChange?.(chatConfig.ttsStatus.ERROR);\n              setTimeout(() => onStatusChange?.(chatConfig.ttsStatus.IDLE), 2000);\n              cleanupStreamingPlayback();\n            }\n          };\n\n        } catch (error) {\n          onStatusChange?.(chatConfig.ttsStatus.ERROR);\n          setTimeout(() => onStatusChange?.(chatConfig.ttsStatus.IDLE), 2000);\n          cleanupStreamingPlayback();\n        }\n      };\n\n      // Initialize streaming playback\n      const initStreamingPlayback = async (onStatusChange?: (status: typeof chatConfig.ttsStatus[keyof typeof chatConfig.ttsStatus]) => void): Promise<void> => {\n        return new Promise((resolve, reject) => {\n          try {\n            const mediaSource = new MediaSource();\n            mediaSourceRef.current = mediaSource;\n            \n            if (audioRef.current) {\n              audioRef.current.pause();\n              audioRef.current = null;\n            }\n            \n            const audio = new Audio();\n            audio.src = URL.createObjectURL(mediaSource);\n            audioRef.current = audio;\n            \n            audio.oncanplay = () => {\n              onStatusChange?.('playing');\n            };\n            \n            audio.onended = () => {\n              onStatusChange?.('idle');\n              cleanupStreamingPlayback();\n            };\n            \n            audio.onerror = () => {\n              onStatusChange?.('error');\n              setTimeout(() => onStatusChange?.('idle'), 2000);\n              cleanupStreamingPlayback();\n            };\n            \n            mediaSource.addEventListener('sourceopen', () => {\n              try {\n                const sourceBuffer = mediaSource.addSourceBuffer('audio/mpeg');\n                sourceBufferRef.current = sourceBuffer;\n                \n                sourceBuffer.addEventListener('updateend', () => {\n                  processPendingChunks();\n                });\n                \n                sourceBuffer.addEventListener('error', () => {\n                  onStatusChange?.('error');\n                  setTimeout(() => onStatusChange?.('idle'), 2000);\n                });\n                \n                isStreamingPlaybackRef.current = true;\n                resolve();\n                \n              } catch (error) {\n                reject(error);\n              }\n            });\n            \n            mediaSource.addEventListener('sourceclose', () => {\n              isStreamingPlaybackRef.current = false;\n            });\n            \n            mediaSource.addEventListener('error', (e) => {\n              reject(e);\n            });\n            \n          } catch (error) {\n            reject(error);\n          }\n        });\n      };\n\n      // Process streaming audio chunks\n      const handleStreamingAudioChunk = async (chunk: Uint8Array, onStatusChange?: (status: typeof chatConfig.ttsStatus[keyof typeof chatConfig.ttsStatus]) => void) => {\n        if (!isStreamingPlaybackRef.current || !sourceBufferRef.current) {\n          pendingChunksRef.current.push(chunk);\n          return;\n        }\n        \n        try {\n          if (sourceBufferRef.current.updating) {\n            pendingChunksRef.current.push(chunk);\n          } else {\n            sourceBufferRef.current.appendBuffer(chunk.buffer.slice(0) as ArrayBuffer);\n            \n            if (audioRef.current && audioRef.current.paused && audioRef.current.readyState >= 2) {\n              try {\n                await audioRef.current.play();\n                onStatusChange?.('playing');\n              } catch (playError) {\n                // Auto-play failed\n              }\n            }\n          }\n        } catch (error) {\n          cleanupStreamingPlayback();\n          audioChunksRef.current.push(chunk);\n          audioChunksRef.current.push(...pendingChunksRef.current);\n          pendingChunksRef.current = [];\n          isStreamingPlaybackRef.current = false;\n        }\n      };\n\n      // Process pending audio chunks\n      const processPendingChunks = () => {\n        if (!sourceBufferRef.current || sourceBufferRef.current.updating || pendingChunksRef.current.length === 0) {\n          return;\n        }\n        \n        try {\n          const chunk = pendingChunksRef.current.shift();\n          if (chunk) {\n            sourceBufferRef.current.appendBuffer(chunk.buffer.slice(0) as ArrayBuffer);\n          }\n        } catch (error) {\n          // Processing error\n        }\n      };\n\n      // Complete streaming playback\n      const finalizeStreamingPlayback = async () => {\n        if (pendingChunksRef.current.length > 0 && sourceBufferRef.current) {\n          const waitForPending = () => {\n            return new Promise<void>((resolve) => {\n              const checkPending = () => {\n                if (pendingChunksRef.current.length === 0 || !sourceBufferRef.current?.updating) {\n                  resolve();\n                } else {\n                  setTimeout(checkPending, 100);\n                }\n              };\n              checkPending();\n            });\n          };\n          \n          await waitForPending();\n        }\n        \n        if (mediaSourceRef.current && mediaSourceRef.current.readyState === 'open') {\n          try {\n            mediaSourceRef.current.endOfStream();\n          } catch (error) {\n            // End stream error\n          }\n        }\n      };\n\n      // Clean up streaming playback resources\n      const cleanupStreamingPlayback = () => {\n        isStreamingPlaybackRef.current = false;\n        pendingChunksRef.current = [];\n        \n        if (sourceBufferRef.current) {\n          sourceBufferRef.current = null;\n        }\n        \n        if (mediaSourceRef.current) {\n          try {\n            if (mediaSourceRef.current.readyState === 'open') {\n              mediaSourceRef.current.endOfStream();\n            }\n          } catch (error) {\n            // Already closed\n          }\n          mediaSourceRef.current = null;\n        }\n        \n        if (audioRef.current && audioRef.current.src.startsWith('blob:')) {\n          URL.revokeObjectURL(audioRef.current.src);\n        }\n      };\n\n      // Traditional playback method\n      const playAudioTraditional = async (text: string, onStatusChange?: (status: typeof chatConfig.ttsStatus[keyof typeof chatConfig.ttsStatus]) => void) => {\n        audioChunksRef.current = [];\n        const wsUrl = getWebSocketUrl(API_ENDPOINTS.tts.ws);\n        const ws = new WebSocket(wsUrl);\n        wsRef.current = ws;\n\n        ws.onopen = () => {\n          if (ws.readyState === WebSocket.OPEN) {\n            ws.send(JSON.stringify({ text }));\n          }\n        };\n\n        ws.onmessage = async (event) => {\n          try {\n            if (event.data instanceof Blob) {\n              const arrayBuffer = await event.data.arrayBuffer();\n              const uint8Array = new Uint8Array(arrayBuffer);\n              if (uint8Array.length > 0) {\n                audioChunksRef.current.push(uint8Array);\n              }\n            } else if (event.data instanceof ArrayBuffer) {\n              const uint8Array = new Uint8Array(event.data);\n              if (uint8Array.length > 0) {\n                audioChunksRef.current.push(uint8Array);\n              }\n            } else if (typeof event.data === 'string') {\n              try {\n                const data = JSON.parse(event.data);\n                if (data.status === 'completed') {\n                  setTimeout(() => {\n                    if (wsRef.current) {\n                      wsRef.current.close();\n                      wsRef.current = null;\n                    }\n                  }, 100);\n                  \n                  if (audioChunksRef.current.length > 0) {\n                    playAudioChunks(onStatusChange);\n                  } else {\n                    onStatusChange?.(chatConfig.ttsStatus.ERROR);\n                    setTimeout(() => onStatusChange?.(chatConfig.ttsStatus.IDLE), 2000);\n                  }\n                } else if (data.error) {\n                  onStatusChange?.(chatConfig.ttsStatus.ERROR);\n                  setTimeout(() => onStatusChange?.(chatConfig.ttsStatus.IDLE), 2000);\n                  if (wsRef.current) {\n                    wsRef.current.close();\n                    wsRef.current = null;\n                  }\n                }\n              } catch (e) {\n                // Parse error\n              }\n            }\n          } catch (error) {\n            // Message error\n          }\n        };\n\n        ws.onerror = () => {\n          onStatusChange?.(chatConfig.ttsStatus.ERROR);\n          setTimeout(() => onStatusChange?.(chatConfig.ttsStatus.IDLE), 2000);\n        };\n\n        ws.onclose = () => {\n          wsRef.current = null;\n        };\n      };\n\n      // Play audio chunks (traditional mode)\n      const playAudioChunks = (onStatusChange?: (status: typeof chatConfig.ttsStatus[keyof typeof chatConfig.ttsStatus]) => void) => {\n        if (audioChunksRef.current.length === 0) {\n          onStatusChange?.('idle');\n          return;\n        }\n\n        try {\n          const validChunks = audioChunksRef.current.filter(chunk => chunk && chunk.length > 0);\n          \n          if (validChunks.length === 0) {\n            onStatusChange?.(chatConfig.ttsStatus.ERROR);\n            setTimeout(() => onStatusChange?.(chatConfig.ttsStatus.IDLE), 2000);\n            return;\n          }\n\n          const chunkHashes = new Set();\n          const uniqueChunks = [];\n          \n          for (let i = 0; i < validChunks.length; i++) {\n            const chunk = validChunks[i];\n            const hashData = chunk.length > 32 ? \n              Array.from(chunk.slice(0, 16)).concat(Array.from(chunk.slice(-16))) :\n              Array.from(chunk);\n            const hash = hashData.join(',');\n            \n            if (!chunkHashes.has(hash)) {\n              chunkHashes.add(hash);\n              uniqueChunks.push(chunk);\n            }\n          }\n\n          const totalLength = uniqueChunks.reduce((sum, chunk) => sum + chunk.length, 0);\n          const combinedArray = new Uint8Array(totalLength);\n          let offset = 0;\n          \n          for (let i = 0; i < uniqueChunks.length; i++) {\n            const chunk = uniqueChunks[i];\n            \n            if (offset + chunk.length > totalLength) {\n              continue;\n            }\n            \n            combinedArray.set(chunk, offset);\n            offset += chunk.length;\n          }\n\n          const finalArray = offset === totalLength ? combinedArray : combinedArray.slice(0, offset);\n          \n          if (finalArray.length < 100) {\n            onStatusChange?.(chatConfig.ttsStatus.ERROR);\n            setTimeout(() => onStatusChange?.(chatConfig.ttsStatus.IDLE), 2000);\n            return;\n          }\n          \n          const hasValidMP3Header = finalArray.length >= 3 && (\n            (finalArray[0] === 0xFF && (finalArray[1] & 0xE0) === 0xE0) ||\n            (finalArray[0] === 0x49 && finalArray[1] === 0x44 && finalArray[2] === 0x33)\n          );\n          \n          if (!hasValidMP3Header) {\n            onStatusChange?.(chatConfig.ttsStatus.ERROR);\n            setTimeout(() => onStatusChange?.(chatConfig.ttsStatus.IDLE), 2000);\n            return;\n          }\n\n          const audioBlob = new Blob([finalArray], { type: 'audio/mpeg' });\n          const audioUrl = URL.createObjectURL(audioBlob);\n          \n          if (audioRef.current) {\n            audioRef.current.pause();\n            audioRef.current = null;\n          }\n\n          const audio = new Audio(audioUrl);\n          audioRef.current = audio;\n\n          audio.oncanplay = () => {\n            onStatusChange?.('playing');\n          };\n\n          audio.onended = () => {\n            onStatusChange?.(chatConfig.ttsStatus.IDLE);\n            URL.revokeObjectURL(audioUrl);\n            audioRef.current = null;\n            audioChunksRef.current = [];\n          };\n\n          audio.onerror = () => {\n            onStatusChange?.(chatConfig.ttsStatus.ERROR);\n            setTimeout(() => onStatusChange?.(chatConfig.ttsStatus.IDLE), 2000);\n            URL.revokeObjectURL(audioUrl);\n            audioRef.current = null;\n            audioChunksRef.current = [];\n          };\n\n          audio.play().then(() => {\n            onStatusChange?.('playing');\n          }).catch(() => {\n            onStatusChange?.(chatConfig.ttsStatus.ERROR);\n            setTimeout(() => onStatusChange?.(chatConfig.ttsStatus.IDLE), 2000);\n            URL.revokeObjectURL(audioUrl);\n            audioChunksRef.current = [];\n          });\n\n        } catch (error) {\n          onStatusChange?.(chatConfig.ttsStatus.ERROR);\n          setTimeout(() => onStatusChange?.(chatConfig.ttsStatus.IDLE), 2000);\n          audioChunksRef.current = [];\n        }\n      };\n\n      // stop audio\n      const stopAudio = () => {\n        if (wsRef.current) {\n          wsRef.current.close();\n          wsRef.current = null;\n        }\n\n        if (audioRef.current) {\n          audioRef.current.pause();\n          audioRef.current = null;\n        }\n\n        cleanupStreamingPlayback();\n        audioChunksRef.current = [];\n      };\n\n      // clean up resources\n      const cleanup = () => {\n        stopAudio();\n        cleanupStreamingPlayback();\n      };\n\n      return {\n        playAudio,\n        stopAudio,\n        cleanup\n      };\n    }\n  },\n\n  // Add file preprocess method\n  async preprocessFiles(query: string, files: File[], conversationId?: number, signal?: AbortSignal): Promise<ReadableStreamDefaultReader<Uint8Array>> {\n    try {\n      // Use FormData to handle file upload\n      const formData = new FormData();\n      formData.append('query', query);\n\n      // Add files\n      if (files && files.length > 0) {\n        files.forEach(file => {\n          formData.append('files', file);\n        });\n      }\n\n      // Build URL with conversation_id as query parameter\n      let url = API_ENDPOINTS.storage.preprocess;\n      if (conversationId !== undefined && conversationId !== null) {\n        url += `?conversation_id=${conversationId}`;\n      }\n\n      const response = await fetch(url, {\n        method: 'POST',\n        body: formData,\n        signal,\n      });\n\n      // Check if the response is successful\n      if (!response.ok) {\n        // Handle specific HTTP status codes with error codes for internationalization\n        if (response.status === 413) {\n          throw new Error('REQUEST_ENTITY_TOO_LARGE');\n        } else {\n          throw new Error('FILE_PARSING_FAILED');\n        \n        }\n      }\n\n      if (!response.body) {\n        throw new Error(\"Response body is null\");\n      }\n\n      return response.body.getReader();\n    } catch (error) {\n      // If the error is caused by canceling the request, return a specific response instead of throwing an error\n      if (error instanceof Error && error.name === 'AbortError') {\n        throw new Error('Request has been aborted');\n      }\n      // Other errors are thrown normally\n      throw error;\n    }\n  },\n\n  // Add run agent method\n  async runAgent(params: {\n    query: string;\n    conversation_id: number;\n    is_set: boolean;\n    history: Array<{ role: string; content: string; }>;\n    files?: File[];  // Add optional files parameter\n    minio_files?: Array<{\n      object_name: string;\n      name: string;\n      type: string;\n      size: number;\n      url?: string;\n      description?: string; // Add file description field\n    }>; // Update to complete attachment information object array\n    agent_id?: number; // Add agent_id parameter\n    is_debug?: boolean; // Add debug mode parameter\n  }, signal?: AbortSignal) {\n    try {\n      // Construct request parameters\n      const requestParams: any = {\n        query: params.query,\n        conversation_id: params.conversation_id,\n        is_set: params.is_set,\n        history: params.history,\n        minio_files: params.minio_files || null,\n        is_debug: params.is_debug || false,\n      };\n      \n      // Only include agent_id if it has a value\n      if (params.agent_id !== undefined && params.agent_id !== null) {\n        requestParams.agent_id = params.agent_id;\n      }\n\n      const response = await fetch(API_ENDPOINTS.agent.run, {\n        method: 'POST',\n        headers: getAuthHeaders(),\n        body: JSON.stringify(requestParams),\n        signal,\n      });\n\n      if (!response.body) {\n        throw new Error(\"Response body is null\");\n      }\n\n      return response.body.getReader();\n    } catch (error: any) {\n      // If the error is caused by canceling the request, return a specific response instead of throwing an error\n      if (error instanceof Error && error.name === 'AbortError') {\n        log.log('Agent请求已被取消');\n        throw new Error('请求已被取消');\n      }\n      // Other errors are thrown normally\n      throw error;\n    }\n  },\n\n  // Generate conversation title\n  async generateTitle(params: {\n    conversation_id: number;\n    history: Array<{ role: 'user' | 'assistant'; content: string; }>;\n  }) {\n    const response = await fetch(API_ENDPOINTS.conversation.generateTitle, {\n      method: 'POST',\n      headers: getAuthHeaders(),\n      body: JSON.stringify(params),\n    });\n\n    const data = await response.json();\n\n    if (data.code === 0) {\n      return data.data;\n    }\n\n    throw new ApiError(data.code, data.message);\n  },\n\n  // Like/dislike message\n  async updateOpinion(params: { message_id: number; opinion: 'Y' | 'N' | null }) {\n    const response = await fetch(API_ENDPOINTS.conversation.opinion, {\n      method: 'POST',\n      headers: getAuthHeaders(),\n      body: JSON.stringify(params),\n    });\n    const data = await response.json();\n    if (data.code === 0) {\n      return true;\n    }\n    throw new ApiError(data.code, data.message);\n  },\n\n  // Get message_id by conversationId and messageIndex\n  async getMessageId(conversationId: number, messageIndex: number) {\n    const response = await fetch(API_ENDPOINTS.conversation.messageId, {\n      method: 'POST',\n      headers: getAuthHeaders(),\n      body: JSON.stringify({\n        conversation_id: conversationId,\n        message_index: messageIndex\n      })\n    });\n\n    const data = await response.json();\n    \n    if (data.code === 0) {\n      return data.data;\n    }\n    \n    throw new ApiError(data.code, data.message);\n  },\n}; "
  },
  {
    "path": "pathology-ai/code-changes/frontend/index.ts",
    "content": "// Medical Visualization Components\r\n// 医学可视化组件导出\r\n\r\nexport { MedicalKnowledgeGraph } from './MedicalKnowledgeGraph';\r\nexport { DiagnosisFlowChart } from './DiagnosisFlowChart';\r\nexport { MedicalDashboard } from './MedicalDashboard';\r\nexport { MedicalVisualizationPanel } from './MedicalVisualizationPanel';\r\n\r\n// 新增组件\r\nexport { PathologyImageGallery } from './PathologyImageGallery';\r\nexport type { PathologyImage } from './PathologyImageGallery';\r\n\r\nexport { DiagnosisConfidenceCard } from './DiagnosisConfidenceCard';\r\nexport type { ConfidenceLevel, RiskLevel, EvaluationDimension, DiagnosisConfidenceCardProps } from './DiagnosisConfidenceCard';\r\n\r\nexport { SourceTag, InternalTag, ExternalTag, ConclusionTag, parseSourceTags } from './SourceTag';\r\nexport type { SourceType } from './SourceTag';\r\n"
  },
  {
    "path": "pathology-ai/code-changes/frontend/markdownRenderer.tsx",
    "content": "\"use client\";\n\nimport React from \"react\";\nimport { useTranslation } from \"react-i18next\";\nimport ReactMarkdown from \"react-markdown\";\nimport remarkGfm from \"remark-gfm\";\nimport remarkMath from \"remark-math\";\nimport rehypeRaw from \"rehype-raw\";\nimport rehypeKatex from \"rehype-katex\";\n// @ts-ignore\nimport { Prism as SyntaxHighlighter } from \"react-syntax-highlighter\";\n// @ts-ignore\nimport { oneLight } from \"react-syntax-highlighter/dist/esm/styles/prism\";\nimport * as TooltipPrimitive from \"@radix-ui/react-tooltip\";\nimport { visit } from \"unist-util-visit\";\n\nimport { SearchResult } from \"@/types/chat\";\nimport { resolveS3UrlToDataUrl } from \"@/services/storageService\";\nimport {\n  Tooltip,\n  TooltipContent,\n  TooltipProvider,\n  TooltipTrigger,\n} from \"@/components/ui/tooltip\";\nimport { CopyButton } from \"@/components/ui/copyButton\";\nimport { Diagram } from \"@/components/ui/Diagram\";\n\ninterface MarkdownRendererProps {\n  content: string;\n  className?: string;\n  searchResults?: SearchResult[];\n  showDiagramToggle?: boolean;\n  onCitationHover?: () => void;\n  enableMultimodal?: boolean;\n  /**\n   * When true, resolve s3:// media URLs in markdown into data URLs (base64)\n   * so that images can still be displayed after page refresh or when\n   * the original S3 URL is not directly accessible by the browser.\n   */\n  resolveS3Media?: boolean;\n}\n\n// Simple in-memory cache to avoid refetching the same S3 object multiple times\nconst s3MediaCache = new Map<string, string>();\nconst mediaObjectUrlCache = new Map<string, string>();\nconst mediaObjectUrlPromiseCache = new Map<string, Promise<string | null>>();\nconst S3_MEDIA_SESSION_PREFIX = \"s3-media-cache:\";\n\nconst isBrowserEnvironment = typeof window !== \"undefined\";\n\nconst getSessionCachedValue = (key: string): string | null => {\n  if (!isBrowserEnvironment) {\n    return null;\n  }\n  try {\n    return window.sessionStorage.getItem(key);\n  } catch {\n    return null;\n  }\n};\n\nconst getCachedMediaSrc = (src: string): string | null => {\n  const cached = s3MediaCache.get(src);\n  if (cached) {\n    return cached;\n  }\n  const sessionValue = getSessionCachedValue(src);\n  if (sessionValue) {\n    s3MediaCache.set(src, sessionValue);\n    return sessionValue;\n  }\n  return null;\n};\n\nconst setCachedMediaSrc = (src: string, value: string) => {\n  s3MediaCache.set(src, value);\n  if (!isBrowserEnvironment) {\n    return;\n  }\n  try {\n    window.sessionStorage.setItem(`${S3_MEDIA_SESSION_PREFIX}${src}`, value);\n  } catch {\n    // Ignore storage quota errors silently.\n  }\n};\n\nconst setCachedObjectUrl = (src: string, objectUrl: string | null) => {\n  if (!objectUrl) {\n    return;\n  }\n  const existing = mediaObjectUrlCache.get(src);\n  if (existing && existing !== objectUrl) {\n    URL.revokeObjectURL(existing);\n  }\n  mediaObjectUrlCache.set(src, objectUrl);\n};\n\nconst resolveMediaToObjectUrl = async (\n  src: string,\n  { resolveS3 }: { resolveS3: boolean }\n): Promise<string | null> => {\n  try {\n    if (src.startsWith(\"blob:\")) {\n      return src;\n    }\n\n    if (src.startsWith(\"s3://\")) {\n      if (!resolveS3) {\n        return null;\n      }\n      const dataUrl = await resolveS3UrlToDataUrl(src);\n      if (!dataUrl) {\n        return null;\n      }\n      const response = await fetch(dataUrl);\n      if (!response.ok) {\n        return null;\n      }\n      const blob = await response.blob();\n      return URL.createObjectURL(blob);\n    }\n\n    if (\n      src.startsWith(\"http://\") ||\n      src.startsWith(\"https://\") ||\n      src.startsWith(\"/api/\") ||\n      src.startsWith(\"/nexent/\") ||\n      src.startsWith(\"/attachments/\") ||\n      src.startsWith(\"/\")\n    ) {\n      const response = await fetch(src);\n      if (!response.ok) {\n        return null;\n      }\n      const blob = await response.blob();\n      return URL.createObjectURL(blob);\n    }\n\n    if (src.startsWith(\"data:\")) {\n      const response = await fetch(src);\n      if (!response.ok) {\n        return null;\n      }\n      const blob = await response.blob();\n      return URL.createObjectURL(blob);\n    }\n\n    return null;\n  } catch {\n    return null;\n  }\n};\n\nconst usePrefetchedMediaSource = (\n  src?: string,\n  options?: { enable?: boolean; resolveS3?: boolean }\n) => {\n  const shouldPrefetch =\n    Boolean(\n      options?.enable &&\n        src &&\n        typeof src === \"string\" &&\n        !src.startsWith(\"blob:\") &&\n        (src.startsWith(\"s3://\") ||\n          src.startsWith(\"http://\") ||\n          src.startsWith(\"https://\") ||\n          src.startsWith(\"/\"))\n    ) || false;\n\n  const [resolvedSrc, setResolvedSrc] = React.useState<string | null>(() => {\n    if (!src || typeof src !== \"string\") {\n      return null;\n    }\n    if (!shouldPrefetch) {\n      return src;\n    }\n    return mediaObjectUrlCache.get(src) ?? null;\n  });\n\n  React.useEffect(() => {\n    if (!src || typeof src !== \"string\") {\n      setResolvedSrc(null);\n      return;\n    }\n\n    if (!shouldPrefetch) {\n      setResolvedSrc(src);\n      return;\n    }\n\n    const cached = mediaObjectUrlCache.get(src);\n    if (cached) {\n      setResolvedSrc(cached);\n      return;\n    }\n\n    let cancelled = false;\n\n    const promise =\n      mediaObjectUrlPromiseCache.get(src) ??\n      resolveMediaToObjectUrl(src, {\n        resolveS3: options?.resolveS3 ?? true,\n      });\n\n    mediaObjectUrlPromiseCache.set(src, promise);\n\n    promise\n      .then((objectUrl) => {\n        if (cancelled) {\n          return;\n        }\n        if (!objectUrl) {\n          setResolvedSrc(null);\n          return;\n        }\n        setCachedObjectUrl(src, objectUrl);\n        setResolvedSrc(objectUrl);\n      })\n      .catch(() => {\n        if (!cancelled) {\n          setResolvedSrc(null);\n        }\n      })\n      .finally(() => {\n        mediaObjectUrlPromiseCache.delete(src);\n      });\n\n    return () => {\n      cancelled = true;\n    };\n  }, [options?.resolveS3, shouldPrefetch, src]);\n\n  return resolvedSrc;\n};\n\nconst useResolvedS3Media = (src?: string, shouldResolve?: boolean) => {\n  const cachedInitial =\n    typeof src === \"string\" && src.startsWith(\"s3://\")\n      ? getCachedMediaSrc(src)\n      : null;\n  const initialValue =\n    typeof src === \"string\"\n      ? !shouldResolve || !src.startsWith(\"s3://\")\n        ? src\n        : cachedInitial\n      : null;\n  const [resolvedSrc, setResolvedSrc] = React.useState<string | null>(\n    initialValue\n  );\n\n  React.useEffect(() => {\n    if (!src || typeof src !== \"string\") {\n      setResolvedSrc(null);\n      return;\n    }\n\n    if (!shouldResolve || !src.startsWith(\"s3://\")) {\n      setResolvedSrc(src);\n      return;\n    }\n\n    const cached = getCachedMediaSrc(src);\n    if (cached) {\n      setResolvedSrc(cached);\n      return;\n    }\n\n    let cancelled = false;\n\n    resolveS3UrlToDataUrl(src)\n      .then((dataUrl) => {\n        if (cancelled) {\n          return;\n        }\n        if (dataUrl) {\n          setCachedMediaSrc(src, dataUrl);\n          setResolvedSrc(dataUrl);\n        } else {\n          setResolvedSrc(null);\n        }\n      })\n      .catch(() => {\n        if (!cancelled) {\n          setResolvedSrc(null);\n        }\n      });\n\n    return () => {\n      cancelled = true;\n    };\n  }, [src, shouldResolve]);\n\n  return resolvedSrc;\n};\n\nconst VIDEO_EXTENSIONS = [\".mp4\", \".webm\", \".ogg\", \".mov\", \".m4v\"];\n\nconst extractExtension = (value: string): string => {\n  const normalized = value.split(\"?\")[0].split(\"#\")[0];\n  const match = normalized.toLowerCase().match(/\\.[a-z0-9]+$/);\n  return match?.[0] ?? \"\";\n};\n\nconst isVideoUrl = (url?: string): boolean => {\n  if (!url) {\n    return false;\n  }\n\n  const trimmed = url.trim();\n  if (!trimmed.startsWith(\"http://\") && !trimmed.startsWith(\"https://\")) {\n    return false;\n  }\n\n  const extension = extractExtension(trimmed);\n  return VIDEO_EXTENSIONS.includes(extension);\n};\n\n// extract block level elements from <p>\nconst rehypeUnwrapMedia = () => {\n  return (tree: any) => {\n    visit(tree, \"element\", (node, index, parent) => {\n      // find <p> tags containing video or figure\n      if (node.tagName === \"p\" && node.children) {\n        const mediaChildIndex = node.children.findIndex(\n          (child: any) =>\n            child.tagName === \"video\" || child.tagName === \"figure\"\n        );\n\n        if (mediaChildIndex !== -1) {\n          // extract media elements (video/figure)\n          const mediaChild = node.children.splice(mediaChildIndex, 1)[0];\n          \n          // if <p> has other content after extraction, keep <p>; otherwise remove empty <p>\n          if (node.children.length === 0) {\n            // replace original <p> node with media element\n            if (parent && index !== null) {\n              parent.children[index as number] = {\n                tagName: \"div\",\n                properties: { className: \"markdown-media-container\" },\n                children: [mediaChild],\n              };\n            }\n          } else {\n            // if <p> has other content after extraction, keep <p>; otherwise remove empty <p>\n            if (parent && index !== null) {\n              parent.children.splice((index as number) + 1, 0, {\n                tagName: \"div\",\n                properties: { className: \"markdown-media-container\" },\n                children: [mediaChild],\n              });\n            }\n          }\n        }\n      }\n    });\n  };\n};\n\n// Get background color for different tool signs\nconst getBackgroundColor = (toolSign: string) => {\n  switch (toolSign) {\n    case \"a\":\n      return \"#E3F2FD\"; // Light blue\n    case \"b\":\n      return \"#E8F5E9\"; // Light green\n    case \"c\":\n      return \"#FFF3E0\"; // Light orange\n    case \"d\":\n      return \"#F3E5F5\"; // Light purple\n    case \"e\":\n      return \"#FFEBEE\"; // Light red\n    default:\n      return \"#E5E5E5\"; // Default light gray\n  }\n};\n\n// ============== 可点击选项组件 (平台特性开发) ==============\n// 格式: [btn:选项文字] 会渲染为可点击按钮，点击后自动填入并发送\nconst ClickableOption = ({\n  text,\n  onOptionClick,\n}: {\n  text: string;\n  onOptionClick?: (text: string) => void;\n}) => {\n  const handleClick = () => {\n    // 触发自定义事件，让输入框监听并自动发送\n    const event = new CustomEvent('nexent-option-select', {\n      detail: { text, autoSend: true },\n      bubbles: true,\n    });\n    document.dispatchEvent(event);\n    \n    if (onOptionClick) {\n      onOptionClick(text);\n    }\n  };\n\n  return (\n    <button\n      onClick={handleClick}\n      className=\"inline-flex items-center px-3 py-1.5 mx-1 my-0.5 text-sm font-medium text-purple-700 bg-purple-50 border border-purple-200 rounded-lg hover:bg-purple-100 hover:border-purple-300 transition-all duration-200 cursor-pointer shadow-sm hover:shadow\"\n      style={{\n        verticalAlign: 'middle',\n      }}\n    >\n      {text}\n    </button>\n  );\n};\n\n// Replace the original LinkIcon component\nconst CitationBadge = ({\n  toolSign,\n  citeIndex,\n}: {\n  toolSign: string;\n  citeIndex: number;\n}) => (\n  <span\n    className=\"ds-markdown-cite\"\n    style={{\n      verticalAlign: \"middle\",\n      fontVariant: \"tabular-nums\",\n      boxSizing: \"border-box\",\n      color: \"#404040\",\n      cursor: \"pointer\",\n      background: getBackgroundColor(toolSign),\n      borderRadius: \"9px\",\n      flexShrink: 0,\n      justifyContent: \"center\",\n      alignItems: \"center\",\n      height: \"18px\",\n      marginLeft: \"4px\",\n      padding: \"0 6px\",\n      fontSize: \"12px\",\n      fontWeight: 400,\n      display: \"inline-flex\",\n      position: \"relative\",\n      top: \"-2px\",\n    }}\n  >\n    {citeIndex}\n  </span>\n);\n\n// Modified HoverableText component\nconst HoverableText = ({\n  text,\n  searchResults,\n  onCitationHover,\n}: {\n  text: string;\n  searchResults?: SearchResult[];\n  onCitationHover?: () => void;\n}) => {\n  const [isOpen, setIsOpen] = React.useState(false);\n  const containerRef = React.useRef<HTMLSpanElement>(null);\n  const tooltipRef = React.useRef<HTMLDivElement>(null);\n  const mousePositionRef = React.useRef({ x: 0, y: 0 });\n\n  // Function to handle multiple consecutive line breaks\n  const handleConsecutiveNewlines = (text: string) => {\n    if (!text) return text;\n    return (\n      text\n        // First, standardize all types of line breaks to \\n\n        .replace(/\\r\\n/g, \"\\n\") // Windows line breaks\n        .replace(/\\r/g, \"\\n\") // Old Mac line breaks\n        // Handle consecutive line breaks and whitespace\n        .replace(/[\\n\\s]*\\n[\\n\\s]*/g, \"\\n\") // Process whitespace around line breaks\n        .replace(/^\\s+|\\s+$/g, \"\")\n    ); // Remove leading and trailing whitespace\n  };\n\n  // Find corresponding search result\n  const toolSign = text.charAt(0);\n  const citeIndex = parseInt(text.slice(1));\n  const matchedResult = searchResults?.find(\n    (result) => result.tool_sign === toolSign && result.cite_index === citeIndex\n  );\n\n  // Handle mouse events\n  React.useEffect(() => {\n    const container = containerRef.current;\n    if (!container) return;\n\n    let timeoutId: NodeJS.Timeout | null = null;\n    let closeTimeoutId: NodeJS.Timeout | null = null;\n\n    // Function to update mouse position\n    const updateMousePosition = (e: MouseEvent) => {\n      mousePositionRef.current = { x: e.clientX, y: e.clientY };\n    };\n\n    const handleMouseEnter = () => {\n      // Clear any existing close timer\n      if (closeTimeoutId) {\n        clearTimeout(closeTimeoutId);\n        closeTimeoutId = null;\n      }\n\n      if (timeoutId) {\n        clearTimeout(timeoutId);\n      }\n\n      // Clear completed conversation indicator when hovering over citation\n      if (onCitationHover) {\n        onCitationHover();\n      }\n\n      // Delay before showing tooltip to avoid quick hover triggers\n      timeoutId = setTimeout(() => {\n        setIsOpen(true);\n      }, 50);\n    };\n\n    const handleMouseLeave = () => {\n      // Clear open timer\n      if (timeoutId) {\n        clearTimeout(timeoutId);\n        timeoutId = null;\n      }\n\n      // Delay closing tooltip so user can move to tooltip content\n      closeTimeoutId = setTimeout(() => {\n        checkShouldClose();\n      }, 100);\n    };\n\n    // Function to check if tooltip should be closed\n    const checkShouldClose = () => {\n      const tooltipContent = document.querySelector(\".z-\\\\[9999\\\\]\");\n      const linkElement = containerRef.current;\n\n      if (!tooltipContent || !linkElement) {\n        setIsOpen(false);\n        return;\n      }\n\n      const tooltipRect = tooltipContent.getBoundingClientRect();\n      const linkRect = linkElement.getBoundingClientRect();\n      const { x: mouseX, y: mouseY } = mousePositionRef.current;\n\n      // Check if mouse is over tooltip or link icon\n      const isMouseOverTooltip =\n        mouseX >= tooltipRect.left &&\n        mouseX <= tooltipRect.right &&\n        mouseY >= tooltipRect.top &&\n        mouseY <= tooltipRect.bottom;\n\n      const isMouseOverLink =\n        mouseX >= linkRect.left &&\n        mouseX <= linkRect.right &&\n        mouseY >= linkRect.top &&\n        mouseY <= linkRect.bottom;\n\n      // Close tooltip if mouse is neither over tooltip nor link icon\n      if (!isMouseOverTooltip && !isMouseOverLink) {\n        setIsOpen(false);\n      }\n    };\n\n    // Add global mouse move event listener to handle movement anywhere\n    const handleGlobalMouseMove = (e: MouseEvent) => {\n      // Update mouse position\n      updateMousePosition(e);\n\n      if (!isOpen) return;\n\n      // Use debounce logic to avoid frequent calculations\n      if (closeTimeoutId) {\n        clearTimeout(closeTimeoutId);\n      }\n\n      closeTimeoutId = setTimeout(() => {\n        checkShouldClose();\n      }, 100);\n    };\n\n    // Add event listeners\n    document.addEventListener(\"mousemove\", handleGlobalMouseMove);\n    container.addEventListener(\"mouseenter\", handleMouseEnter);\n    container.addEventListener(\"mouseleave\", handleMouseLeave);\n\n    return () => {\n      if (timeoutId) {\n        clearTimeout(timeoutId);\n      }\n      if (closeTimeoutId) {\n        clearTimeout(closeTimeoutId);\n      }\n      document.removeEventListener(\"mousemove\", handleGlobalMouseMove);\n      container.removeEventListener(\"mouseenter\", handleMouseEnter);\n      container.removeEventListener(\"mouseleave\", handleMouseLeave);\n    };\n  }, [isOpen, onCitationHover]);\n\n  return (\n    <TooltipProvider>\n      <Tooltip open={isOpen}>\n        <span\n          ref={containerRef}\n          className=\"inline-flex items-center relative\"\n          style={{ zIndex: isOpen ? 1000 : \"auto\" }}\n        >\n          <TooltipTrigger asChild>\n            <span className=\"inline-flex items-center cursor-pointer transition-colors\">\n              <CitationBadge toolSign={toolSign} citeIndex={citeIndex} />\n            </span>\n          </TooltipTrigger>\n          {/* Force Portal to body */}\n          <TooltipPrimitive.Portal>\n            <TooltipContent\n              side=\"top\"\n              align=\"center\"\n              sideOffset={5}\n              className=\"z-[9999] bg-white px-3 py-2 text-sm border shadow-md max-w-md\"\n              style={\n                {\n                  \"--scrollbar-width\": \"8px\",\n                  \"--scrollbar-height\": \"8px\",\n                  \"--scrollbar-track-bg\": \"transparent\",\n                  \"--scrollbar-thumb-bg\": \"rgb(209, 213, 219)\",\n                  \"--scrollbar-thumb-hover-bg\": \"rgb(156, 163, 175)\",\n                  \"--scrollbar-thumb-radius\": \"9999px\",\n                } as React.CSSProperties\n              }\n            >\n              <div\n                ref={tooltipRef}\n                className=\"whitespace-pre-wrap overflow-y-auto\"\n                style={{\n                  maxHeight: 240,\n                  minWidth: 200,\n                  maxWidth: 400,\n                  scrollbarWidth: \"thin\",\n                  scrollbarColor:\n                    \"var(--scrollbar-thumb-bg) var(--scrollbar-track-bg)\",\n                }}\n              >\n                <style jsx>{`\n                  div::-webkit-scrollbar {\n                    width: var(--scrollbar-width);\n                    height: var(--scrollbar-height);\n                  }\n                  div::-webkit-scrollbar-track {\n                    background: var(--scrollbar-track-bg);\n                  }\n                  div::-webkit-scrollbar-thumb {\n                    background: var(--scrollbar-thumb-bg);\n                    border-radius: var(--scrollbar-thumb-radius);\n                  }\n                  div::-webkit-scrollbar-thumb:hover {\n                    background: var(--scrollbar-thumb-hover-bg);\n                  }\n                  @media (prefers-color-scheme: dark) {\n                    div::-webkit-scrollbar-thumb {\n                      background: rgb(55, 65, 81);\n                    }\n                    div::-webkit-scrollbar-thumb:hover {\n                      background: rgb(75, 85, 99);\n                    }\n                  }\n                `}</style>\n                {matchedResult ? (\n                  <>\n                    {matchedResult.url &&\n                    matchedResult.source_type !== \"file\" &&\n                    !matchedResult.filename ? (\n                      <a\n                        href={matchedResult.url}\n                        target=\"_blank\"\n                        rel=\"noopener noreferrer\"\n                        className=\"font-medium mb-1 text-blue-600 hover:underline block\"\n                        style={{ wordBreak: \"break-all\" }}\n                      >\n                        {handleConsecutiveNewlines(matchedResult.title)}\n                      </a>\n                    ) : (\n                      <p className=\"font-medium mb-1\">\n                        {handleConsecutiveNewlines(matchedResult.title)}\n                      </p>\n                    )}\n                    <p className=\"text-gray-600\">\n                      {handleConsecutiveNewlines(matchedResult.text)}\n                    </p>\n                  </>\n                ) : null}\n              </div>\n            </TooltipContent>\n          </TooltipPrimitive.Portal>\n        </span>\n      </Tooltip>\n    </TooltipProvider>\n  );\n};\n\n/**\n * Convert LaTeX delimiters to markdown math delimiters\n *\n * Converts:\n * - \\( ... \\) to $ ... $\n * - \\[ ... \\] to $$ ... $$\n */\nconst convertLatexDelimiters = (content: string): string => {\n  // Quick check: only process if LaTeX delimiters are present\n  if (!content.includes('\\\\(') && !content.includes('\\\\[')) {\n    return content;\n  }\n\n  return (\n    content\n      // Convert \\( ... \\) to $ ... $ (inline math)\n      .replace(/\\\\\\(([\\s\\S]*?)\\\\\\)/g, (_match, inner) => `$${inner}$`)\n      // Convert \\[ ... \\] to $$ ... $$ (display math)\n      .replace(/\\\\\\[([\\s\\S]*?)\\\\\\]/g, (_match, inner) => `$$${inner}$$\\n`)\n  );\n};\n\n// Video component with error handling - defined outside to prevent re-creation on each render\ninterface VideoWithErrorHandlingProps {\n  src: string;\n  alt?: string | null;\n  props?: React.VideoHTMLAttributes<HTMLVideoElement>;\n}\n\nconst VideoWithErrorHandling: React.FC<VideoWithErrorHandlingProps> = React.memo(({ src, alt, props = {} }) => {\n  const { t } = useTranslation(\"common\");\n  const [hasError, setHasError] = React.useState(false);\n\n  if (hasError) {\n    return (\n      <div className=\"markdown-media-error\">\n        <div className=\"markdown-media-error-message\">\n          {t(\"chatStreamMessage.videoLinkUnavailable\", {\n            defaultValue: \"This video link is unavailable\",\n          })}\n        </div>\n        {alt && (\n          <div className=\"markdown-media-error-caption\">{alt}</div>\n        )}\n      </div>\n    );\n  }\n\n  return (\n    <figure className=\"markdown-video-wrapper\">\n      <video\n        className=\"markdown-video\"\n        controls\n        preload=\"metadata\"\n        playsInline\n        src={src}\n        onError={() => setHasError(true)}\n        {...props}\n      >\n        {t(\"chatStreamMessage.videoNotSupported\", {\n          defaultValue: \"Sorry, your browser does not support embedded videos.\",\n        })}\n      </video>\n      {alt ? (\n        <figcaption className=\"markdown-video-caption\">{alt}</figcaption>\n      ) : null}\n    </figure>\n  );\n}, (prevProps, nextProps) => {\n  // Custom comparison function to prevent unnecessary re-renders\n  // Only compare src and alt, props object reference may change but content is the same\n  return prevProps.src === nextProps.src && \n         prevProps.alt === nextProps.alt;\n});\n\nVideoWithErrorHandling.displayName = \"VideoWithErrorHandling\";\n\n// Image component with error handling - defined outside to prevent re-creation on each render\ninterface ImageWithErrorHandlingProps {\n  src: string;\n  alt?: string | null;\n}\n\nconst ImageWithErrorHandling: React.FC<ImageWithErrorHandlingProps> = React.memo(({ src, alt }) => {\n  const { t } = useTranslation(\"common\");\n  const [hasError, setHasError] = React.useState(false);\n\n  if (hasError) {\n    return (\n      <div className=\"markdown-media-error\">\n        <div className=\"markdown-media-error-message\">\n          {t(\"chatStreamMessage.imageLinkUnavailable\", {\n            defaultValue: \"This image link is unavailable\",\n          })}\n        </div>\n        {alt && (\n          <div className=\"markdown-media-error-caption\">{alt}</div>\n        )}\n      </div>\n    );\n  }\n\n  return (\n    <img\n      src={src}\n      alt={alt ?? undefined}\n      className=\"markdown-img\"\n      onError={() => setHasError(true)}\n    />\n  );\n}, (prevProps, nextProps) => {\n  // Custom comparison function to prevent unnecessary re-renders\n  return prevProps.src === nextProps.src && \n         prevProps.alt === nextProps.alt;\n});\n\nImageWithErrorHandling.displayName = \"ImageWithErrorHandling\";\n\n/**\n * Render a code block with syntax highlighting, language label, and copy button\n * This is exported for use in other components that need to render code blocks directly\n */\nexport const CodeBlock: React.FC<{\n  codeContent: string;\n  language?: string;\n}> = ({ codeContent, language = \"python\" }) => {\n  const { t } = useTranslation(\"common\");\n  \n  const customStyle = {\n    ...oneLight,\n    'pre[class*=\"language-\"]': {\n      ...oneLight['pre[class*=\"language-\"]'],\n      background: \"#f8f8f8\",\n      borderRadius: \"0\",\n      padding: \"12px 16px\",\n      margin: \"0\",\n      fontSize: \"0.875rem\",\n      lineHeight: \"1.5\",\n      whiteSpace: \"pre-wrap\",\n      wordWrap: \"break-word\",\n      wordBreak: \"break-word\",\n      overflowWrap: \"break-word\",\n      overflow: \"auto\",\n      width: \"100%\",\n      boxSizing: \"border-box\",\n      display: \"block\",\n      borderTop: \"none\",\n    },\n    'code[class*=\"language-\"]': {\n      ...oneLight['code[class*=\"language-\"]'],\n      background: \"#f8f8f8\",\n      color: \"#333333\",\n      fontSize: \"0.875rem\",\n      lineHeight: \"1.5\",\n      whiteSpace: \"pre-wrap\",\n      wordWrap: \"break-word\",\n      wordBreak: \"break-word\",\n      overflowWrap: \"break-word\",\n      width: \"100%\",\n      padding: \"0\",\n      display: \"block\",\n    },\n  };\n\n  const cleanedContent = codeContent.replace(/^\\n+|\\n+$/g, \"\");\n\n  return (\n    <div className=\"code-block-container group\">\n      <div className=\"code-block-header\">\n        <span className=\"code-language-label\" data-language={language}>\n          {language}\n        </span>\n        <CopyButton\n          content={cleanedContent}\n          variant=\"code-block\"\n          className=\"header-copy-button\"\n          tooltipText={{\n            copy: t(\"chatStreamMessage.copyContent\"),\n            copied: t(\"chatStreamMessage.copied\"),\n          }}\n        />\n      </div>\n      <div className=\"code-block-content\">\n        <SyntaxHighlighter style={customStyle} language={language} PreTag=\"div\">\n          {cleanedContent}\n        </SyntaxHighlighter>\n      </div>\n    </div>\n  );\n};\n\nexport const MarkdownRenderer: React.FC<MarkdownRendererProps> = ({\n  content,\n  className,\n  searchResults = [],\n  showDiagramToggle = true,\n  onCitationHover,\n  enableMultimodal = true,\n  resolveS3Media = false,\n}) => {\n  const { t } = useTranslation(\"common\");\n\n  // Convert LaTeX delimiters to markdown math delimiters\n  const processedContent = convertLatexDelimiters(content);\n\n  const renderCodeFallback = (text: string, key?: React.Key) => (\n    <code\n      key={key}\n      className=\"markdown-code block whitespace-pre-wrap break-words text-xs\"\n      style={{ fontFamily: \"var(--font-mono, monospace)\" }}\n    >\n      {text}\n    </code>\n  );\n\n  const buildMediaFallbackText = (src?: string | null, alt?: string | null) => {\n    if (alt) {\n      return `${t(\"chatStreamMessage.imageTextFallbackTitle\", {\n        defaultValue: \"Media (text view)\",\n      })}: ${alt}${src ? ` - ${src}` : \"\"}`;\n    }\n    return (\n      src ??\n      t(\"chatStreamMessage.imageTextFallbackTitle\", {\n        defaultValue: \"Media (text view)\",\n      })\n    );\n  };\n\n  const renderMediaFallback = (src?: string | null, alt?: string | null) =>\n    renderCodeFallback(buildMediaFallbackText(src, alt));\n\n  const renderVideoElement = ({\n    src,\n    alt,\n    props = {},\n  }: {\n    src?: string | null;\n    alt?: string | null;\n    props?: React.VideoHTMLAttributes<HTMLVideoElement>;\n  }) => {\n    if (!src) {\n      return null;\n    }\n\n    if (!enableMultimodal) {\n      return renderMediaFallback(src, alt);\n    }\n\n    return <VideoWithErrorHandling key={src} src={src} alt={alt} props={props} />;\n  };\n\n  const ImageResolver: React.FC<{ src?: string; alt?: string | null }> = ({\n    src,\n    alt,\n  }) => {\n    const resolvedSrc = useResolvedS3Media(\n      typeof src === \"string\" ? src : undefined,\n      resolveS3Media\n    );\n\n    if (!enableMultimodal) {\n      return renderMediaFallback(src, alt);\n    }\n\n    if (!resolvedSrc) {\n      return renderMediaFallback(src, alt);\n    }\n\n    if (isVideoUrl(resolvedSrc)) {\n      return renderVideoElement({ src: resolvedSrc, alt });\n    }\n\n    return <ImageWithErrorHandling key={resolvedSrc} src={resolvedSrc} alt={alt} />;\n  };\n\n  // Modified processText function logic\n  // 支持格式: [[引用]], :mermaid[图表], [btn:可点击选项]\n  const processText = (text: string) => {\n    if (typeof text !== \"string\") return text;\n\n    // 添加 [btn:选项] 格式的匹配\n    const parts = text.split(/(\\[\\[[^\\]]+\\]\\]|:mermaid\\[[^\\]]+\\]|\\[btn:[^\\]]+\\])/g);\n    return (\n      <>\n        {parts.map((part, index) => {\n          // 匹配 [btn:选项] 格式 - 可点击选项\n          const optionMatch = part.match(/^\\[btn:([^\\]]+)\\]$/);\n          if (optionMatch) {\n            const optionText = optionMatch[1];\n            return (\n              <ClickableOption\n                key={`option-${index}`}\n                text={optionText}\n              />\n            );\n          }\n\n          const match = part.match(/^\\[\\[([^\\]]+)\\]\\]$/);\n          if (match) {\n            const innerText = match[1];\n\n            const toolSign = innerText.charAt(0);\n            const citeIndex = parseInt(innerText.slice(1));\n            const hasMatch = searchResults?.some(\n              (result) =>\n                result.tool_sign === toolSign && result.cite_index === citeIndex\n            );\n\n            // Only show citation icon when matching search result is found\n            if (hasMatch) {\n              return (\n                <HoverableText\n                  key={index}\n                  text={innerText}\n                  searchResults={searchResults}\n                  onCitationHover={onCitationHover}\n                />\n              );\n            } else {\n              // Return empty string if no matching result found (display nothing)\n              return \"\";\n            }\n          }\n          // Inline Mermaid using :mermaid[graph LR; A-->B] - removed inline support\n          const mmd = part.match(/^:mermaid\\[([^\\]]+)\\]$/);\n          if (mmd) {\n            const code = mmd[1];\n            if (!enableMultimodal) {\n              return renderCodeFallback(code, `mmd-placeholder-${index}`);\n            }\n            return <Diagram key={`mmd-${index}`} code={code} className=\"my-4\" />;\n          }\n          // Handle line breaks in text content\n          if (part.includes('\\n')) {\n            return part.split('\\n').map((line, lineIndex) => (\n              <React.Fragment key={`${index}-${lineIndex}`}>\n                {line}\n                {lineIndex < part.split('\\n').length - 1 && <br />}\n              </React.Fragment>\n            ));\n          }\n          return part;\n        })}\n      </>\n    );\n  };\n\n  // Create wrapper component to handle different types of child elements\n  const TextWrapper = ({ children }: { children: any }) => {\n    if (typeof children === \"string\") {\n      return processText(children);\n    }\n    if (Array.isArray(children)) {\n      return (\n        <>\n          {children.map((child, index) => {\n            if (typeof child === \"string\") {\n              return (\n                <React.Fragment key={index}>\n                  {processText(child)}\n                </React.Fragment>\n              );\n            }\n            return child;\n          })}\n        </>\n      );\n    }\n    return children;\n  };\n\n  class MarkdownErrorBoundary extends React.Component<\n    { children: React.ReactNode; rawContent: string },\n    { hasError: boolean }\n  > {\n    constructor(props: { children: React.ReactNode; rawContent: string }) {\n      super(props);\n      this.state = { hasError: false };\n    }\n    static getDerivedStateFromError() {\n      return { hasError: true };\n    }\n    componentDidCatch(error: unknown) {}\n    render() {\n      if (this.state.hasError) {\n        return (\n          <div className=\"markdown-body\">\n            <pre className=\"whitespace-pre-wrap break-words text-sm\">\n              {this.props.rawContent}\n            </pre>\n          </div>\n        );\n      }\n      return this.props.children as React.ReactElement;\n    }\n  }\n\n  return (\n    <>\n      <div className={`markdown-body ${className || \"\"}`}>\n        <MarkdownErrorBoundary rawContent={processedContent}>\n          <ReactMarkdown\n            remarkPlugins={[remarkGfm, remarkMath] as any}\n            rehypePlugins={\n              [\n                rehypeUnwrapMedia,\n                [\n                  rehypeKatex,\n                  {\n                    throwOnError: false,\n                    strict: false,\n                    trust: true,\n                  },\n                ],\n                rehypeRaw,\n              ] as any\n            }\n            skipHtml={false}\n            components={{\n              // Heading components - now using CSS classes\n              h1: ({ children }: any) => (\n                <h1 className=\"markdown-h1\">\n                  <TextWrapper>{children}</TextWrapper>\n                </h1>\n              ),\n              h2: ({ children }: any) => (\n                <h2 className=\"markdown-h2\">\n                  <TextWrapper>{children}</TextWrapper>\n                </h2>\n              ),\n              h3: ({ children }: any) => (\n                <h3 className=\"markdown-h3\">\n                  <TextWrapper>{children}</TextWrapper>\n                </h3>\n              ),\n              h4: ({ children }: any) => (\n                <h4 className=\"markdown-h4\">\n                  <TextWrapper>{children}</TextWrapper>\n                </h4>\n              ),\n              h5: ({ children }: any) => (\n                <h5 className=\"markdown-h5\">\n                  <TextWrapper>{children}</TextWrapper>\n                </h5>\n              ),\n              h6: ({ children }: any) => (\n                <h6 className=\"markdown-h6\">\n                  <TextWrapper>{children}</TextWrapper>\n                </h6>\n              ),\n              // Paragraph\n              p: ({ children }: any) => (\n                <p className=\"markdown-paragraph\">\n                  <TextWrapper>{children}</TextWrapper>\n                </p>\n              ),\n              // Horizontal rule\n              hr: () => (\n                <hr className=\"markdown-hr\" />\n              ),\n              // Ordered list\n              ol: ({ children }: any) => (\n                <ol className=\"markdown-ol\">\n                  {children}\n                </ol>\n              ),\n              // Unordered list\n              ul: ({ children }: any) => (\n                <ul className=\"markdown-ul\">\n                  {children}\n                </ul>\n              ),\n              // List item\n              li: ({ children }: any) => (\n                <li className=\"markdown-li\">\n                  <TextWrapper>{children}</TextWrapper>\n                </li>\n              ),\n              // Blockquote\n              blockquote: ({ children }: any) => (\n                <blockquote className=\"markdown-blockquote\">\n                  <TextWrapper>{children}</TextWrapper>\n                </blockquote>\n              ),\n              // Table components\n              td: ({ children }: any) => (\n                <td className=\"markdown-td\">\n                  <TextWrapper>{children}</TextWrapper>\n                </td>\n              ),\n              th: ({ children }: any) => (\n                <th className=\"markdown-th\">\n                  <TextWrapper>{children}</TextWrapper>\n                </th>\n              ),\n              // Emphasis components\n              strong: ({ children }: any) => (\n                <strong className=\"markdown-strong\">\n                  <TextWrapper>{children}</TextWrapper>\n                </strong>\n              ),\n              em: ({ children }: any) => (\n                <em className=\"markdown-em\">\n                  <TextWrapper>{children}</TextWrapper>\n                </em>\n              ),\n              // Strikethrough\n              del: ({ children }: any) => (\n                <del className=\"markdown-del\">\n                  <TextWrapper>{children}</TextWrapper>\n                </del>\n              ),\n              // Link\n              a: ({ href, children, ...props }: any) => {\n                return (\n                  <a href={href} className=\"markdown-link\" {...props}>\n                    <TextWrapper>{children}</TextWrapper>\n                  </a>\n                );\n              },\n              pre: ({ children }: any) => <>{children}</>,\n              // Code blocks and inline code\n              code({ node, inline, className, children, ...props }: any) {\n                try {\n                  const match = /language-(\\w+)/.exec(className || \"\");\n                  const raw = Array.isArray(children)\n                    ? children.join(\"\")\n                    : children ?? \"\";\n                  const codeContent = String(raw).replace(/^\\n+|\\n+$/g, \"\");\n                  if (match && match[1]) {\n                    // Check if it's a Mermaid diagram\n                    if (match[1] === \"mermaid\") {\n                      if (!enableMultimodal) {\n                      return renderCodeFallback(codeContent);\n                      }\n                      return <Diagram code={codeContent} className=\"my-4\" showToggle={showDiagramToggle} />;\n                    }\n                    if (!inline) {\n                      return <CodeBlock codeContent={codeContent} language={match[1]} />;\n                    }\n                  }\n                } catch (error) {\n                  // Handle error silently\n                }\n                return (\n                  <code className=\"markdown-code\" {...props}>\n                    <TextWrapper>{children}</TextWrapper>\n                  </code>\n                );\n              },\n              // Image\n              img: ({ src, alt }: any) => (\n                <ImageResolver src={src} alt={alt} />\n              ),\n              // Video\n              video: ({ children, ...props }: any) => {\n                const directSrc = props?.src;\n                const childSource = React.Children.toArray(children)\n                  .map((child) =>\n                    React.isValidElement(child) ? child.props?.src : undefined\n                  )\n                  .find(Boolean);\n                const videoSrc = directSrc ?? childSource;\n                const caption =\n                  props?.[\"aria-label\"] ??\n                  props?.title ??\n                  props?.[\"data-caption\"] ??\n                  undefined;\n\n                const element = renderVideoElement({\n                  src: videoSrc,\n                  alt: caption,\n                  props,\n                });\n\n                return element ?? renderMediaFallback(undefined, caption);\n              },\n            }}\n          >\n            {processedContent}\n          </ReactMarkdown>\n        </MarkdownErrorBoundary>\n      </div>\n    </>\n  );\n};"
  },
  {
    "path": "pathology-ai/code-changes/medical_extension/__init__.py",
    "content": "\"\"\"\r\nNexent 医疗领域扩展模块\r\nMedical Domain Extension for Nexent Platform\r\n\r\n本模块提供医疗领域的智能体模板、诊断推理链框架和专业工具集。\r\n\r\nFeatures:\r\n- 医疗智能体模板系统\r\n- Chain-of-Diagnosis (CoD) 诊断推理链框架\r\n- 置信度评估系统\r\n- 医疗提示词库\r\n\r\nAuthor: Pathology AI Team\r\nVersion: 1.0.0\r\nLicense: MIT\r\n\"\"\"\r\n\r\nfrom .agent_templates import MedicalAgentTemplates, AgentTemplate, MedicalDomain\r\nfrom .chain_of_diagnosis import (\r\n    ChainOfDiagnosis, \r\n    DiagnosisResult, \r\n    DiagnosisStep,\r\n    ConfidenceLevel,\r\n)\r\nfrom .confidence_evaluator import (\r\n    ConfidenceEvaluator, \r\n    ConfidenceReport,\r\n    RiskLevel,\r\n)\r\nfrom .medical_prompts import MedicalPromptLibrary, PromptCategory\r\n\r\n__all__ = [\r\n    # 智能体模板\r\n    'MedicalAgentTemplates',\r\n    'AgentTemplate',\r\n    'MedicalDomain',\r\n    # 诊断推理链\r\n    'ChainOfDiagnosis',\r\n    'DiagnosisResult',\r\n    'DiagnosisStep',\r\n    'ConfidenceLevel',\r\n    # 置信度评估\r\n    'ConfidenceEvaluator',\r\n    'ConfidenceReport',\r\n    'RiskLevel',\r\n    # 提示词库\r\n    'MedicalPromptLibrary',\r\n    'PromptCategory',\r\n]\r\n\r\n__version__ = '1.0.0'\r\n__author__ = 'Pathology AI Team'\r\n"
  },
  {
    "path": "pathology-ai/code-changes/medical_extension/agent_templates.py",
    "content": "\"\"\"\r\n医疗智能体模板系统\r\nMedical Agent Templates for Nexent Platform\r\n\r\n提供预置的医疗领域智能体模板，支持一键创建专业医疗智能体。\r\n\r\nTemplates:\r\n- 病理诊断助手\r\n- 影像分析助手\r\n- 临床决策支持\r\n- 药物咨询助手\r\n\r\nAuthor: Pathology AI Team\r\n\"\"\"\r\n\r\nfrom dataclasses import dataclass, field\r\nfrom typing import List, Dict, Optional, Any\r\nfrom enum import Enum\r\nimport json\r\n\r\n\r\nclass MedicalDomain(Enum):\r\n    \"\"\"医疗领域分类\"\"\"\r\n    PATHOLOGY = \"pathology\"           # 病理学\r\n    RADIOLOGY = \"radiology\"           # 放射学/影像\r\n    CLINICAL = \"clinical\"             # 临床医学\r\n    PHARMACY = \"pharmacy\"             # 药学\r\n    LABORATORY = \"laboratory\"         # 检验医学\r\n    GENERAL = \"general\"               # 通用医学\r\n\r\n\r\n@dataclass\r\nclass AgentTemplate:\r\n    \"\"\"智能体模板\"\"\"\r\n    template_id: str                  # 模板ID\r\n    name: str                         # 模板名称\r\n    description: str                  # 描述\r\n    domain: MedicalDomain             # 医疗领域\r\n    system_prompt: str                # 系统提示词\r\n    suggested_tools: List[str]        # 建议的MCP工具\r\n    knowledge_bases: List[str]        # 建议的知识库\r\n    model_requirements: Dict[str, Any] = field(default_factory=dict)  # 模型要求\r\n    metadata: Dict[str, Any] = field(default_factory=dict)\r\n    \r\n    def to_dict(self) -> Dict:\r\n        \"\"\"转换为字典\"\"\"\r\n        return {\r\n            \"template_id\": self.template_id,\r\n            \"name\": self.name,\r\n            \"description\": self.description,\r\n            \"domain\": self.domain.value,\r\n            \"system_prompt\": self.system_prompt,\r\n            \"suggested_tools\": self.suggested_tools,\r\n            \"knowledge_bases\": self.knowledge_bases,\r\n            \"model_requirements\": self.model_requirements,\r\n            \"metadata\": self.metadata,\r\n        }\r\n    \r\n    def to_json(self) -> str:\r\n        \"\"\"转换为JSON\"\"\"\r\n        return json.dumps(self.to_dict(), ensure_ascii=False, indent=2)\r\n\r\n\r\nclass MedicalAgentTemplates:\r\n    \"\"\"\r\n    医疗智能体模板管理器\r\n    \r\n    提供预置的医疗领域智能体模板，支持：\r\n    1. 获取模板列表\r\n    2. 按领域筛选\r\n    3. 创建自定义模板\r\n    4. 导出/导入模板\r\n    \r\n    Usage:\r\n        templates = MedicalAgentTemplates()\r\n        pathology_template = templates.get_template(\"pathology_diagnosis\")\r\n        all_templates = templates.list_templates()\r\n    \"\"\"\r\n    \r\n    def __init__(self):\r\n        \"\"\"初始化模板管理器\"\"\"\r\n        self._templates: Dict[str, AgentTemplate] = {}\r\n        self._load_builtin_templates()\r\n    \r\n    def _load_builtin_templates(self):\r\n        \"\"\"加载内置模板\"\"\"\r\n        \r\n        # 1. 病理诊断助手模板\r\n        self._templates[\"pathology_diagnosis\"] = AgentTemplate(\r\n            template_id=\"pathology_diagnosis\",\r\n            name=\"病理诊断助手\",\r\n            description=\"专业的病理学诊断辅助智能体，支持组织病理分析、细胞学诊断和分子病理解读\",\r\n            domain=MedicalDomain.PATHOLOGY,\r\n            system_prompt=self._get_pathology_prompt(),\r\n            suggested_tools=[\r\n                \"pathology_diagnosis_assistant\",\r\n                \"pathology_image_analyzer\",\r\n                \"differential_diagnosis_generator\",\r\n                \"knowledge_graph_query\",\r\n            ],\r\n            knowledge_bases=[\"病理学知识库\", \"肿瘤病理数据库\"],\r\n            model_requirements={\r\n                \"min_context_length\": 4096,\r\n                \"recommended_models\": [\"glm-4.5\", \"gpt-4o\", \"claude-4-sonnet\"],\r\n                \"supports_vision\": True,\r\n            },\r\n            metadata={\r\n                \"version\": \"1.0.0\",\r\n                \"author\": \"Pathology AI Team\",\r\n                \"tags\": [\"病理\", \"诊断\", \"HIV/AIDS\", \"肿瘤\"],\r\n            }\r\n        )\r\n        \r\n        # 2. 影像分析助手模板\r\n        self._templates[\"radiology_assistant\"] = AgentTemplate(\r\n            template_id=\"radiology_assistant\",\r\n            name=\"医学影像分析助手\",\r\n            description=\"专业的医学影像分析智能体，支持X光、CT、MRI等影像的智能解读\",\r\n            domain=MedicalDomain.RADIOLOGY,\r\n            system_prompt=self._get_radiology_prompt(),\r\n            suggested_tools=[\r\n                \"pathology_image_analyzer\",\r\n                \"differential_diagnosis_generator\",\r\n            ],\r\n            knowledge_bases=[\"影像学知识库\"],\r\n            model_requirements={\r\n                \"min_context_length\": 4096,\r\n                \"recommended_models\": [\"gpt-4o\", \"gemini-3-pro\"],\r\n                \"supports_vision\": True,  # 必须支持视觉\r\n            },\r\n            metadata={\r\n                \"version\": \"1.0.0\",\r\n                \"tags\": [\"影像\", \"CT\", \"MRI\", \"X光\"],\r\n            }\r\n        )\r\n        \r\n        # 3. 临床决策支持模板\r\n        self._templates[\"clinical_decision\"] = AgentTemplate(\r\n            template_id=\"clinical_decision\",\r\n            name=\"临床决策支持助手\",\r\n            description=\"临床决策支持智能体，提供诊断建议、治疗方案和用药指导\",\r\n            domain=MedicalDomain.CLINICAL,\r\n            system_prompt=self._get_clinical_prompt(),\r\n            suggested_tools=[\r\n                \"pathology_diagnosis_assistant\",\r\n                \"differential_diagnosis_generator\",\r\n                \"knowledge_graph_query\",\r\n            ],\r\n            knowledge_bases=[\"临床指南库\", \"药物数据库\"],\r\n            model_requirements={\r\n                \"min_context_length\": 8192,\r\n                \"recommended_models\": [\"glm-4.5\", \"gpt-4o\", \"claude-4-opus\"],\r\n            },\r\n            metadata={\r\n                \"version\": \"1.0.0\",\r\n                \"tags\": [\"临床\", \"决策\", \"治疗\", \"用药\"],\r\n            }\r\n        )\r\n        \r\n        # 4. HIV/AIDS专科助手模板\r\n        self._templates[\"hiv_specialist\"] = AgentTemplate(\r\n            template_id=\"hiv_specialist\",\r\n            name=\"HIV/AIDS专科助手\",\r\n            description=\"HIV/AIDS专科诊疗智能体，专注于HIV感染的诊断、治疗和机会性感染管理\",\r\n            domain=MedicalDomain.CLINICAL,\r\n            system_prompt=self._get_hiv_specialist_prompt(),\r\n            suggested_tools=[\r\n                \"pathology_diagnosis_assistant\",\r\n                \"differential_diagnosis_generator\",\r\n                \"knowledge_graph_query\",\r\n            ],\r\n            knowledge_bases=[\"HIV/AIDS知识库\", \"机会性感染数据库\"],\r\n            model_requirements={\r\n                \"min_context_length\": 4096,\r\n                \"recommended_models\": [\"glm-4.5\", \"gpt-4o\"],\r\n            },\r\n            metadata={\r\n                \"version\": \"1.0.0\",\r\n                \"tags\": [\"HIV\", \"AIDS\", \"感染\", \"免疫\"],\r\n            }\r\n        )\r\n    \r\n    def _get_pathology_prompt(self) -> str:\r\n        \"\"\"获取病理诊断助手提示词\"\"\"\r\n        return \"\"\"你是一位专业的病理学诊断助手，具备以下能力：\r\n\r\n## 专业背景\r\n- 精通组织病理学、细胞病理学和分子病理学\r\n- 熟悉WHO肿瘤分类标准\r\n- 了解HIV/AIDS相关病理改变\r\n\r\n## 诊断方法\r\n请使用诊断推理链(Chain-of-Diagnosis, CoD)方法：\r\n\r\n【步骤1 - 症状分析】分析临床表现和病理所见\r\n【步骤2 - 病史关联】结合既往病史进行分析\r\n【步骤3 - 鉴别诊断】列出可能的病理诊断\r\n【步骤4 - 检查建议】建议进一步的病理检查\r\n【步骤5 - 诊断结论】给出最终诊断和置信度\r\n\r\n## 置信度标注\r\n- HIGH (>85%): 诊断依据充分\r\n- MEDIUM (60-85%): 需要进一步确认\r\n- LOW (<60%): 信息不足，仅供参考\r\n\r\n## 重要提醒\r\n- 病理诊断需结合临床信息综合判断\r\n- AI诊断仅供参考，最终诊断以病理医师报告为准\r\n- 遇到疑难病例建议多学科会诊(MDT)\r\n\"\"\"\r\n    \r\n    def _get_radiology_prompt(self) -> str:\r\n        \"\"\"获取影像分析助手提示词\"\"\"\r\n        return \"\"\"你是一位专业的医学影像分析助手，具备以下能力：\r\n\r\n## 专业背景\r\n- 精通X光、CT、MRI、超声等影像解读\r\n- 熟悉各系统疾病的影像学表现\r\n- 了解影像学检查的适应症和禁忌症\r\n\r\n## 分析方法\r\n1. 系统性观察：按解剖结构逐一分析\r\n2. 病变描述：位置、大小、形态、密度/信号、边界、强化特点\r\n3. 鉴别诊断：列出可能的诊断及依据\r\n4. 建议：进一步检查或临床处理建议\r\n\r\n## 报告格式\r\n【影像所见】客观描述影像表现\r\n【诊断意见】给出诊断及置信度\r\n【建议】进一步检查或随访建议\r\n\r\n## 重要提醒\r\n- 影像诊断需结合临床信息\r\n- AI分析仅供参考，最终诊断以影像科医师报告为准\r\n\"\"\"\r\n    \r\n    def _get_clinical_prompt(self) -> str:\r\n        \"\"\"获取临床决策支持提示词\"\"\"\r\n        return \"\"\"你是一位临床决策支持助手，为医生提供诊疗建议。\r\n\r\n## 专业能力\r\n- 疾病诊断与鉴别诊断\r\n- 治疗方案制定\r\n- 用药指导与药物相互作用\r\n- 临床指南解读\r\n\r\n## 决策支持流程\r\n1. 病史采集：了解主诉、现病史、既往史\r\n2. 体格检查：分析体征\r\n3. 辅助检查：解读检验和影像结果\r\n4. 诊断分析：使用CoD方法进行诊断推理\r\n5. 治疗建议：基于循证医学提供方案\r\n\r\n## 置信度评估\r\n- HIGH: 诊断明确，治疗方案标准化\r\n- MEDIUM: 诊断基本明确，方案需个体化\r\n- LOW: 诊断不确定，建议进一步检查\r\n\r\n## 重要提醒\r\n- 所有建议仅供临床参考\r\n- 最终决策由主治医师做出\r\n- 注意患者个体差异和禁忌症\r\n\"\"\"\r\n    \r\n    def _get_hiv_specialist_prompt(self) -> str:\r\n        \"\"\"获取HIV/AIDS专科助手提示词\"\"\"\r\n        return \"\"\"你是一位HIV/AIDS专科诊疗助手，专注于HIV感染的全程管理。\r\n\r\n## 专业领域\r\n- HIV感染的诊断与分期\r\n- 抗逆转录病毒治疗(ART)\r\n- 机会性感染的预防与治疗\r\n- HIV相关肿瘤\r\n- 免疫重建炎症综合征(IRIS)\r\n\r\n## 诊断推理(CoD)\r\n【步骤1】分析症状和体征\r\n【步骤2】评估免疫状态(CD4计数、病毒载量)\r\n【步骤3】鉴别诊断(机会性感染vs其他)\r\n【步骤4】建议检查(病原学、影像学)\r\n【步骤5】诊断结论与置信度\r\n\r\n## CD4计数与机会性感染风险\r\n- CD4 < 200: PCP、弓形虫、隐球菌高风险\r\n- CD4 < 100: CMV、MAC高风险\r\n- CD4 < 50: 播散性真菌感染高风险\r\n\r\n## 常见机会性感染\r\n- 肺孢子虫肺炎(PCP): 干咳、呼吸困难、发热\r\n- 隐球菌脑膜炎: 头痛、发热、意识改变\r\n- 结核病: 咳嗽、盗汗、体重下降\r\n- CMV视网膜炎: 视力下降、飞蚊症\r\n\r\n## 重要提醒\r\n- HIV诊疗需要专科医师指导\r\n- 注意药物相互作用\r\n- 关注患者心理健康\r\n- AI建议仅供参考\r\n\"\"\"\r\n    \r\n    def get_template(self, template_id: str) -> Optional[AgentTemplate]:\r\n        \"\"\"\r\n        获取指定模板\r\n        \r\n        Args:\r\n            template_id: 模板ID\r\n            \r\n        Returns:\r\n            AgentTemplate or None\r\n        \"\"\"\r\n        return self._templates.get(template_id)\r\n    \r\n    def list_templates(\r\n        self, \r\n        domain: Optional[MedicalDomain] = None\r\n    ) -> List[AgentTemplate]:\r\n        \"\"\"\r\n        列出所有模板\r\n        \r\n        Args:\r\n            domain: 可选，按领域筛选\r\n            \r\n        Returns:\r\n            模板列表\r\n        \"\"\"\r\n        templates = list(self._templates.values())\r\n        if domain:\r\n            templates = [t for t in templates if t.domain == domain]\r\n        return templates\r\n    \r\n    def list_template_ids(self) -> List[str]:\r\n        \"\"\"获取所有模板ID\"\"\"\r\n        return list(self._templates.keys())\r\n    \r\n    def add_template(self, template: AgentTemplate) -> bool:\r\n        \"\"\"\r\n        添加自定义模板\r\n        \r\n        Args:\r\n            template: 模板对象\r\n            \r\n        Returns:\r\n            是否添加成功\r\n        \"\"\"\r\n        if template.template_id in self._templates:\r\n            return False\r\n        self._templates[template.template_id] = template\r\n        return True\r\n    \r\n    def remove_template(self, template_id: str) -> bool:\r\n        \"\"\"\r\n        移除模板\r\n        \r\n        Args:\r\n            template_id: 模板ID\r\n            \r\n        Returns:\r\n            是否移除成功\r\n        \"\"\"\r\n        if template_id in self._templates:\r\n            del self._templates[template_id]\r\n            return True\r\n        return False\r\n    \r\n    def export_templates(self, filepath: str) -> bool:\r\n        \"\"\"\r\n        导出模板到文件\r\n        \r\n        Args:\r\n            filepath: 文件路径\r\n            \r\n        Returns:\r\n            是否导出成功\r\n        \"\"\"\r\n        try:\r\n            data = {\r\n                \"version\": \"1.0.0\",\r\n                \"templates\": [t.to_dict() for t in self._templates.values()]\r\n            }\r\n            with open(filepath, 'w', encoding='utf-8') as f:\r\n                json.dump(data, f, ensure_ascii=False, indent=2)\r\n            return True\r\n        except Exception:\r\n            return False\r\n    \r\n    def import_templates(self, filepath: str) -> int:\r\n        \"\"\"\r\n        从文件导入模板\r\n        \r\n        Args:\r\n            filepath: 文件路径\r\n            \r\n        Returns:\r\n            导入的模板数量\r\n        \"\"\"\r\n        try:\r\n            with open(filepath, 'r', encoding='utf-8') as f:\r\n                data = json.load(f)\r\n            \r\n            count = 0\r\n            for t_data in data.get(\"templates\", []):\r\n                template = AgentTemplate(\r\n                    template_id=t_data[\"template_id\"],\r\n                    name=t_data[\"name\"],\r\n                    description=t_data[\"description\"],\r\n                    domain=MedicalDomain(t_data[\"domain\"]),\r\n                    system_prompt=t_data[\"system_prompt\"],\r\n                    suggested_tools=t_data[\"suggested_tools\"],\r\n                    knowledge_bases=t_data[\"knowledge_bases\"],\r\n                    model_requirements=t_data.get(\"model_requirements\", {}),\r\n                    metadata=t_data.get(\"metadata\", {}),\r\n                )\r\n                if self.add_template(template):\r\n                    count += 1\r\n            return count\r\n        except Exception:\r\n            return 0\r\n    \r\n    def get_template_summary(self) -> str:\r\n        \"\"\"获取模板摘要\"\"\"\r\n        lines = [\"=\" * 50, \"医疗智能体模板库\", \"=\" * 50, \"\"]\r\n        \r\n        for domain in MedicalDomain:\r\n            templates = self.list_templates(domain)\r\n            if templates:\r\n                lines.append(f\"【{domain.value.upper()}】\")\r\n                for t in templates:\r\n                    lines.append(f\"  - {t.name} ({t.template_id})\")\r\n                    lines.append(f\"    {t.description[:50]}...\")\r\n                lines.append(\"\")\r\n        \r\n        lines.append(f\"共 {len(self._templates)} 个模板\")\r\n        return \"\\n\".join(lines)\r\n"
  },
  {
    "path": "pathology-ai/code-changes/medical_extension/api.py",
    "content": "\"\"\"\r\n医疗模块 API 接口\r\nMedical Module API for Nexent Platform\r\n\r\n提供RESTful API接口，支持：\r\n1. 智能体模板管理\r\n2. 诊断推理链调用\r\n3. 置信度评估\r\n4. 提示词管理\r\n\r\nAuthor: Pathology AI Team\r\n\"\"\"\r\n\r\nfrom fastapi import APIRouter, HTTPException, Query\r\nfrom pydantic import BaseModel, Field\r\nfrom typing import List, Dict, Optional, Any\r\n\r\nfrom .agent_templates import MedicalAgentTemplates, MedicalDomain\r\nfrom .chain_of_diagnosis import ChainOfDiagnosis, DiagnosisResult\r\nfrom .confidence_evaluator import ConfidenceEvaluator\r\nfrom .medical_prompts import MedicalPromptLibrary, PromptCategory\r\n\r\n\r\n# 创建路由\r\nrouter = APIRouter(prefix=\"/medical\", tags=[\"Medical\"])\r\n\r\n# 初始化组件\r\ntemplates_manager = MedicalAgentTemplates()\r\ncod_engine = ChainOfDiagnosis()\r\nconfidence_evaluator = ConfidenceEvaluator()\r\nprompt_library = MedicalPromptLibrary()\r\n\r\n\r\n# ==================== 请求/响应模型 ====================\r\n\r\nclass DiagnosisRequest(BaseModel):\r\n    \"\"\"诊断请求\"\"\"\r\n    symptoms: str = Field(..., description=\"症状描述\")\r\n    lab_results: Optional[str] = Field(None, description=\"实验室检查结果\")\r\n    medical_history: Optional[str] = Field(None, description=\"既往病史\")\r\n    imaging_findings: Optional[str] = Field(None, description=\"影像学发现\")\r\n\r\n\r\nclass DiagnosisResponse(BaseModel):\r\n    \"\"\"诊断响应\"\"\"\r\n    success: bool\r\n    data: Dict[str, Any]\r\n    formatted_report: str\r\n\r\n\r\nclass ConfidenceRequest(BaseModel):\r\n    \"\"\"置信度评估请求\"\"\"\r\n    diagnosis: str = Field(..., description=\"诊断结果\")\r\n    symptoms: Optional[List[str]] = Field(None, description=\"症状列表\")\r\n    lab_results: Optional[Dict] = Field(None, description=\"实验室结果\")\r\n    evidence: Optional[List[str]] = Field(None, description=\"支持证据\")\r\n\r\n\r\nclass ConfidenceResponse(BaseModel):\r\n    \"\"\"置信度评估响应\"\"\"\r\n    success: bool\r\n    data: Dict[str, Any]\r\n    formatted_report: str\r\n\r\n\r\nclass TemplateResponse(BaseModel):\r\n    \"\"\"模板响应\"\"\"\r\n    success: bool\r\n    data: Dict[str, Any]\r\n\r\n\r\nclass PromptsResponse(BaseModel):\r\n    \"\"\"提示词响应\"\"\"\r\n    success: bool\r\n    data: List[Dict[str, Any]]\r\n\r\n\r\n# ==================== 智能体模板 API ====================\r\n\r\n@router.get(\"/templates\", response_model=TemplateResponse)\r\nasync def list_templates(\r\n    domain: Optional[str] = Query(None, description=\"按领域筛选\")\r\n):\r\n    \"\"\"\r\n    获取医疗智能体模板列表\r\n    \r\n    Args:\r\n        domain: 可选，按领域筛选 (pathology/radiology/clinical/pharmacy/laboratory/general)\r\n    \r\n    Returns:\r\n        模板列表\r\n    \"\"\"\r\n    try:\r\n        domain_enum = MedicalDomain(domain) if domain else None\r\n        templates = templates_manager.list_templates(domain_enum)\r\n        return TemplateResponse(\r\n            success=True,\r\n            data={\r\n                \"templates\": [t.to_dict() for t in templates],\r\n                \"count\": len(templates),\r\n            }\r\n        )\r\n    except ValueError:\r\n        raise HTTPException(status_code=400, detail=f\"Invalid domain: {domain}\")\r\n\r\n\r\n@router.get(\"/templates/{template_id}\", response_model=TemplateResponse)\r\nasync def get_template(template_id: str):\r\n    \"\"\"\r\n    获取指定模板详情\r\n    \r\n    Args:\r\n        template_id: 模板ID\r\n    \r\n    Returns:\r\n        模板详情\r\n    \"\"\"\r\n    template = templates_manager.get_template(template_id)\r\n    if not template:\r\n        raise HTTPException(status_code=404, detail=f\"Template not found: {template_id}\")\r\n    \r\n    return TemplateResponse(\r\n        success=True,\r\n        data=template.to_dict()\r\n    )\r\n\r\n\r\n@router.get(\"/templates/ids/list\")\r\nasync def list_template_ids():\r\n    \"\"\"获取所有模板ID列表\"\"\"\r\n    return {\r\n        \"success\": True,\r\n        \"template_ids\": templates_manager.list_template_ids()\r\n    }\r\n\r\n\r\n# ==================== 诊断推理链 API ====================\r\n\r\n@router.post(\"/diagnosis/analyze\", response_model=DiagnosisResponse)\r\nasync def analyze_diagnosis(request: DiagnosisRequest):\r\n    \"\"\"\r\n    使用诊断推理链(CoD)进行诊断分析\r\n    \r\n    Args:\r\n        request: 诊断请求，包含症状、检查结果等\r\n    \r\n    Returns:\r\n        诊断结果，包含推理链和置信度\r\n    \"\"\"\r\n    try:\r\n        result = cod_engine.analyze(\r\n            symptoms=request.symptoms,\r\n            lab_results=request.lab_results,\r\n            medical_history=request.medical_history,\r\n            imaging_findings=request.imaging_findings,\r\n        )\r\n        \r\n        return DiagnosisResponse(\r\n            success=True,\r\n            data=result.to_dict(),\r\n            formatted_report=result.to_formatted_string()\r\n        )\r\n    except Exception as e:\r\n        raise HTTPException(status_code=500, detail=str(e))\r\n\r\n\r\n@router.get(\"/diagnosis/cod-prompt\")\r\nasync def get_cod_prompt():\r\n    \"\"\"\r\n    获取CoD诊断推理链提示词模板\r\n    \r\n    Returns:\r\n        CoD提示词，可用于配置LLM\r\n    \"\"\"\r\n    return {\r\n        \"success\": True,\r\n        \"prompt\": cod_engine.generate_cod_prompt(),\r\n        \"description\": \"诊断推理链(Chain-of-Diagnosis)提示词模板\"\r\n    }\r\n\r\n\r\n# ==================== 置信度评估 API ====================\r\n\r\n@router.post(\"/confidence/evaluate\", response_model=ConfidenceResponse)\r\nasync def evaluate_confidence(request: ConfidenceRequest):\r\n    \"\"\"\r\n    评估诊断置信度\r\n    \r\n    Args:\r\n        request: 评估请求，包含诊断和相关信息\r\n    \r\n    Returns:\r\n        置信度评估报告\r\n    \"\"\"\r\n    try:\r\n        report = confidence_evaluator.evaluate(\r\n            diagnosis=request.diagnosis,\r\n            symptoms=request.symptoms,\r\n            lab_results=request.lab_results,\r\n            evidence=request.evidence,\r\n        )\r\n        \r\n        return ConfidenceResponse(\r\n            success=True,\r\n            data=report.to_dict(),\r\n            formatted_report=confidence_evaluator.format_report(report)\r\n        )\r\n    except Exception as e:\r\n        raise HTTPException(status_code=500, detail=str(e))\r\n\r\n\r\n# ==================== 提示词库 API ====================\r\n\r\n@router.get(\"/prompts\", response_model=PromptsResponse)\r\nasync def list_prompts(\r\n    category: Optional[str] = Query(None, description=\"按分类筛选\")\r\n):\r\n    \"\"\"\r\n    获取医疗提示词列表\r\n    \r\n    Args:\r\n        category: 可选，按分类筛选 (diagnosis/treatment/safety/specialty/general)\r\n    \r\n    Returns:\r\n        提示词列表\r\n    \"\"\"\r\n    try:\r\n        category_enum = PromptCategory(category) if category else None\r\n        prompts = prompt_library.list_prompts(category_enum)\r\n        \r\n        # 简化输出，不包含完整prompt文本\r\n        simplified = [\r\n            {\r\n                \"id\": p[\"id\"],\r\n                \"name\": p[\"name\"],\r\n                \"category\": p[\"category\"].value,\r\n                \"description\": p[\"description\"],\r\n                \"tags\": p[\"tags\"],\r\n            }\r\n            for p in prompts\r\n        ]\r\n        \r\n        return PromptsResponse(\r\n            success=True,\r\n            data=simplified\r\n        )\r\n    except ValueError:\r\n        raise HTTPException(status_code=400, detail=f\"Invalid category: {category}\")\r\n\r\n\r\n@router.get(\"/prompts/{prompt_id}\")\r\nasync def get_prompt(prompt_id: str):\r\n    \"\"\"\r\n    获取指定提示词详情\r\n    \r\n    Args:\r\n        prompt_id: 提示词ID\r\n    \r\n    Returns:\r\n        提示词详情，包含完整文本\r\n    \"\"\"\r\n    prompt = prompt_library.get_prompt(prompt_id)\r\n    if not prompt:\r\n        raise HTTPException(status_code=404, detail=f\"Prompt not found: {prompt_id}\")\r\n    \r\n    return {\r\n        \"success\": True,\r\n        \"data\": {\r\n            \"id\": prompt[\"id\"],\r\n            \"name\": prompt[\"name\"],\r\n            \"category\": prompt[\"category\"].value,\r\n            \"description\": prompt[\"description\"],\r\n            \"prompt\": prompt[\"prompt\"],\r\n            \"variables\": prompt[\"variables\"],\r\n            \"tags\": prompt[\"tags\"],\r\n        }\r\n    }\r\n\r\n\r\n@router.get(\"/prompts/recommended/full\")\r\nasync def get_recommended_prompt():\r\n    \"\"\"\r\n    获取推荐的完整医疗助手提示词\r\n    \r\n    Returns:\r\n        推荐提示词，包含CoD、不确定性感知和安全提醒\r\n    \"\"\"\r\n    return {\r\n        \"success\": True,\r\n        \"prompt\": prompt_library.get_recommended_prompt(),\r\n        \"description\": \"推荐的完整医疗助手提示词，包含诊断推理链、置信度标注和安全提醒\"\r\n    }\r\n\r\n\r\n@router.post(\"/prompts/combine\")\r\nasync def combine_prompts(prompt_ids: List[str]):\r\n    \"\"\"\r\n    组合多个提示词\r\n    \r\n    Args:\r\n        prompt_ids: 要组合的提示词ID列表\r\n    \r\n    Returns:\r\n        组合后的提示词文本\r\n    \"\"\"\r\n    combined = prompt_library.combine_prompts(prompt_ids)\r\n    if not combined:\r\n        raise HTTPException(status_code=400, detail=\"No valid prompts found\")\r\n    \r\n    return {\r\n        \"success\": True,\r\n        \"combined_prompt\": combined,\r\n        \"source_prompts\": prompt_ids\r\n    }\r\n\r\n\r\n# ==================== 健康检查 ====================\r\n\r\n@router.get(\"/health\")\r\nasync def health_check():\r\n    \"\"\"医疗模块健康检查\"\"\"\r\n    return {\r\n        \"status\": \"healthy\",\r\n        \"module\": \"medical\",\r\n        \"version\": \"1.0.0\",\r\n        \"components\": {\r\n            \"templates\": len(templates_manager.list_template_ids()),\r\n            \"prompts\": len(prompt_library.list_prompt_ids()),\r\n            \"cod_engine\": \"ready\",\r\n            \"confidence_evaluator\": \"ready\",\r\n        }\r\n    }\r\n"
  },
  {
    "path": "pathology-ai/code-changes/medical_extension/chain_of_diagnosis.py",
    "content": "\"\"\"\r\nChain-of-Diagnosis (CoD) 诊断推理链框架\r\nMedical Diagnosis Reasoning Chain Framework\r\n\r\n创新点：\r\n1. 结构化诊断推理流程\r\n2. 多步骤逻辑推导\r\n3. 置信度量化评估\r\n4. 可解释性诊断输出\r\n\r\nAuthor: Pathology AI Team\r\n\"\"\"\r\n\r\nfrom dataclasses import dataclass, field\r\nfrom typing import List, Dict, Optional, Any\r\nfrom enum import Enum\r\nimport json\r\nimport re\r\n\r\n\r\nclass ConfidenceLevel(Enum):\r\n    \"\"\"置信度等级\"\"\"\r\n    HIGH = \"HIGH\"        # >85% 高置信度\r\n    MEDIUM = \"MEDIUM\"    # 60-85% 中等置信度\r\n    LOW = \"LOW\"          # <60% 低置信度\r\n    UNCERTAIN = \"UNCERTAIN\"  # 不确定\r\n\r\n\r\n@dataclass\r\nclass DiagnosisStep:\r\n    \"\"\"诊断推理步骤\"\"\"\r\n    step_name: str           # 步骤名称\r\n    content: str             # 步骤内容\r\n    evidence: List[str] = field(default_factory=list)  # 支持证据\r\n    confidence: float = 0.0  # 步骤置信度\r\n\r\n\r\n@dataclass\r\nclass DiagnosisResult:\r\n    \"\"\"诊断结果\"\"\"\r\n    primary_diagnosis: str                    # 主要诊断\r\n    differential_diagnoses: List[str]         # 鉴别诊断列表\r\n    confidence_level: ConfidenceLevel         # 置信度等级\r\n    confidence_score: float                   # 置信度分数 (0-1)\r\n    reasoning_chain: List[DiagnosisStep]      # 推理链\r\n    recommendations: List[str]                # 建议\r\n    warnings: List[str] = field(default_factory=list)  # 警告信息\r\n    metadata: Dict[str, Any] = field(default_factory=dict)  # 元数据\r\n    \r\n    def to_dict(self) -> Dict:\r\n        \"\"\"转换为字典\"\"\"\r\n        return {\r\n            \"primary_diagnosis\": self.primary_diagnosis,\r\n            \"differential_diagnoses\": self.differential_diagnoses,\r\n            \"confidence_level\": self.confidence_level.value,\r\n            \"confidence_score\": self.confidence_score,\r\n            \"reasoning_chain\": [\r\n                {\r\n                    \"step\": s.step_name,\r\n                    \"content\": s.content,\r\n                    \"evidence\": s.evidence,\r\n                    \"confidence\": s.confidence\r\n                } for s in self.reasoning_chain\r\n            ],\r\n            \"recommendations\": self.recommendations,\r\n            \"warnings\": self.warnings,\r\n            \"metadata\": self.metadata\r\n        }\r\n    \r\n    def to_formatted_string(self) -> str:\r\n        \"\"\"生成格式化的诊断报告\"\"\"\r\n        lines = []\r\n        lines.append(\"=\" * 50)\r\n        lines.append(\"【诊断推理报告】\")\r\n        lines.append(\"=\" * 50)\r\n        \r\n        # 推理链\r\n        lines.append(\"\\n📋 诊断推理链:\")\r\n        for i, step in enumerate(self.reasoning_chain, 1):\r\n            lines.append(f\"\\n[步骤{i}] {step.step_name}\")\r\n            lines.append(f\"  {step.content}\")\r\n            if step.evidence:\r\n                lines.append(f\"  证据: {', '.join(step.evidence)}\")\r\n        \r\n        # 诊断结论\r\n        lines.append(f\"\\n🎯 主要诊断: {self.primary_diagnosis}\")\r\n        \r\n        if self.differential_diagnoses:\r\n            lines.append(f\"\\n🔍 鉴别诊断:\")\r\n            for dd in self.differential_diagnoses:\r\n                lines.append(f\"  - {dd}\")\r\n        \r\n        # 置信度\r\n        confidence_emoji = {\"HIGH\": \"🟢\", \"MEDIUM\": \"🟡\", \"LOW\": \"🔴\", \"UNCERTAIN\": \"⚪\"}\r\n        lines.append(f\"\\n📊 置信度: {confidence_emoji.get(self.confidence_level.value, '⚪')} \"\r\n                    f\"{self.confidence_level.value} ({self.confidence_score*100:.1f}%)\")\r\n        \r\n        # 建议\r\n        if self.recommendations:\r\n            lines.append(f\"\\n💡 建议:\")\r\n            for rec in self.recommendations:\r\n                lines.append(f\"  • {rec}\")\r\n        \r\n        # 警告\r\n        if self.warnings:\r\n            lines.append(f\"\\n⚠️ 注意:\")\r\n            for warn in self.warnings:\r\n                lines.append(f\"  • {warn}\")\r\n        \r\n        lines.append(\"\\n\" + \"=\" * 50)\r\n        return \"\\n\".join(lines)\r\n\r\n\r\nclass ChainOfDiagnosis:\r\n    \"\"\"\r\n    诊断推理链 (Chain-of-Diagnosis) 框架\r\n    \r\n    核心创新：\r\n    1. 症状分析 → 2. 病史关联 → 3. 鉴别诊断 → 4. 检查建议 → 5. 诊断结论\r\n    \r\n    Usage:\r\n        cod = ChainOfDiagnosis()\r\n        result = cod.analyze(symptoms, lab_results, history)\r\n        print(result.to_formatted_string())\r\n    \"\"\"\r\n    \r\n    # CoD 推理步骤定义\r\n    COD_STEPS = [\r\n        \"症状分析\",      # Step 1: 分析主诉和症状\r\n        \"病史关联\",      # Step 2: 关联既往病史\r\n        \"鉴别诊断\",      # Step 3: 列出可能的诊断\r\n        \"检查建议\",      # Step 4: 建议进一步检查\r\n        \"诊断结论\",      # Step 5: 给出最终诊断\r\n    ]\r\n    \r\n    # 置信度阈值\r\n    CONFIDENCE_THRESHOLDS = {\r\n        \"high\": 0.85,\r\n        \"medium\": 0.60,\r\n    }\r\n    \r\n    def __init__(self, knowledge_base: Optional[Dict] = None):\r\n        \"\"\"\r\n        初始化诊断推理链\r\n        \r\n        Args:\r\n            knowledge_base: 可选的知识库字典\r\n        \"\"\"\r\n        self.knowledge_base = knowledge_base or {}\r\n        self._load_default_knowledge()\r\n    \r\n    def _load_default_knowledge(self):\r\n        \"\"\"加载默认医学知识库\"\"\"\r\n        # HIV/AIDS 相关知识\r\n        self.knowledge_base.update({\r\n            \"hiv_opportunistic_infections\": [\r\n                \"肺孢子虫肺炎 (PCP)\",\r\n                \"巨细胞病毒感染 (CMV)\",\r\n                \"隐球菌脑膜炎\",\r\n                \"卡波西肉瘤\",\r\n                \"结核病\",\r\n                \"弓形虫脑病\",\r\n            ],\r\n            \"cd4_thresholds\": {\r\n                \"severe_immunodeficiency\": 200,\r\n                \"moderate_immunodeficiency\": 350,\r\n                \"mild_immunodeficiency\": 500,\r\n            },\r\n            \"pcp_symptoms\": [\"干咳\", \"呼吸困难\", \"发热\", \"低氧血症\"],\r\n            \"pcp_treatment\": [\"复方磺胺甲噁唑 (TMP-SMX)\", \"喷他脒\", \"阿托伐醌\"],\r\n        })\r\n    \r\n    def analyze(\r\n        self,\r\n        symptoms: str,\r\n        lab_results: Optional[str] = None,\r\n        medical_history: Optional[str] = None,\r\n        imaging_findings: Optional[str] = None,\r\n    ) -> DiagnosisResult:\r\n        \"\"\"\r\n        执行诊断推理链分析\r\n        \r\n        Args:\r\n            symptoms: 症状描述\r\n            lab_results: 实验室检查结果\r\n            medical_history: 既往病史\r\n            imaging_findings: 影像学发现\r\n            \r\n        Returns:\r\n            DiagnosisResult: 诊断结果对象\r\n        \"\"\"\r\n        reasoning_chain = []\r\n        evidence_collected = []\r\n        \r\n        # Step 1: 症状分析\r\n        step1 = self._analyze_symptoms(symptoms)\r\n        reasoning_chain.append(step1)\r\n        evidence_collected.extend(step1.evidence)\r\n        \r\n        # Step 2: 病史关联\r\n        step2 = self._correlate_history(medical_history, symptoms)\r\n        reasoning_chain.append(step2)\r\n        evidence_collected.extend(step2.evidence)\r\n        \r\n        # Step 3: 鉴别诊断\r\n        step3 = self._differential_diagnosis(\r\n            symptoms, lab_results, medical_history, imaging_findings\r\n        )\r\n        reasoning_chain.append(step3)\r\n        \r\n        # Step 4: 检查建议\r\n        step4 = self._suggest_examinations(step3.content, lab_results)\r\n        reasoning_chain.append(step4)\r\n        \r\n        # Step 5: 诊断结论\r\n        step5, primary_diagnosis, differentials = self._conclude_diagnosis(\r\n            reasoning_chain, lab_results\r\n        )\r\n        reasoning_chain.append(step5)\r\n        \r\n        # 计算置信度\r\n        confidence_score = self._calculate_confidence(\r\n            reasoning_chain, evidence_collected, lab_results\r\n        )\r\n        confidence_level = self._get_confidence_level(confidence_score)\r\n        \r\n        # 生成建议\r\n        recommendations = self._generate_recommendations(\r\n            primary_diagnosis, confidence_level, lab_results\r\n        )\r\n        \r\n        # 生成警告\r\n        warnings = self._generate_warnings(confidence_level, primary_diagnosis)\r\n        \r\n        return DiagnosisResult(\r\n            primary_diagnosis=primary_diagnosis,\r\n            differential_diagnoses=differentials,\r\n            confidence_level=confidence_level,\r\n            confidence_score=confidence_score,\r\n            reasoning_chain=reasoning_chain,\r\n            recommendations=recommendations,\r\n            warnings=warnings,\r\n            metadata={\r\n                \"input_symptoms\": symptoms,\r\n                \"has_lab_results\": lab_results is not None,\r\n                \"has_history\": medical_history is not None,\r\n            }\r\n        )\r\n    \r\n    def _analyze_symptoms(self, symptoms: str) -> DiagnosisStep:\r\n        \"\"\"分析症状\"\"\"\r\n        evidence = []\r\n        analysis = []\r\n        \r\n        # 检测关键症状\r\n        symptom_patterns = {\r\n            \"呼吸系统\": [\"咳嗽\", \"干咳\", \"呼吸困难\", \"气短\", \"胸痛\"],\r\n            \"发热相关\": [\"发热\", \"发烧\", \"高热\", \"低热\"],\r\n            \"神经系统\": [\"头痛\", \"意识改变\", \"抽搐\", \"视力改变\"],\r\n            \"消化系统\": [\"腹泻\", \"恶心\", \"呕吐\", \"腹痛\"],\r\n            \"皮肤表现\": [\"皮疹\", \"紫色斑块\", \"溃疡\"],\r\n        }\r\n        \r\n        for system, patterns in symptom_patterns.items():\r\n            found = [p for p in patterns if p in symptoms]\r\n            if found:\r\n                evidence.extend(found)\r\n                analysis.append(f\"{system}症状: {', '.join(found)}\")\r\n        \r\n        content = \"; \".join(analysis) if analysis else \"症状信息不足，需要进一步询问\"\r\n        \r\n        return DiagnosisStep(\r\n            step_name=\"症状分析\",\r\n            content=content,\r\n            evidence=evidence,\r\n            confidence=0.8 if evidence else 0.3\r\n        )\r\n    \r\n    def _correlate_history(\r\n        self, history: Optional[str], symptoms: str\r\n    ) -> DiagnosisStep:\r\n        \"\"\"关联病史\"\"\"\r\n        evidence = []\r\n        content = \"\"\r\n        \r\n        if history:\r\n            # 检测HIV/AIDS相关\r\n            if any(kw in history.lower() for kw in [\"hiv\", \"aids\", \"艾滋\", \"免疫缺陷\"]):\r\n                evidence.append(\"HIV/AIDS病史\")\r\n                content = \"患者有HIV/AIDS病史，需考虑机会性感染\"\r\n            \r\n            # 检测免疫抑制\r\n            if any(kw in history for kw in [\"免疫抑制\", \"化疗\", \"器官移植\", \"激素\"]):\r\n                evidence.append(\"免疫抑制状态\")\r\n                content += \"；存在免疫抑制因素\"\r\n        \r\n        if not content:\r\n            content = \"无特殊病史或病史信息不完整\"\r\n        \r\n        return DiagnosisStep(\r\n            step_name=\"病史关联\",\r\n            content=content,\r\n            evidence=evidence,\r\n            confidence=0.7 if evidence else 0.4\r\n        )\r\n    \r\n    def _differential_diagnosis(\r\n        self,\r\n        symptoms: str,\r\n        lab_results: Optional[str],\r\n        history: Optional[str],\r\n        imaging: Optional[str],\r\n    ) -> DiagnosisStep:\r\n        \"\"\"生成鉴别诊断\"\"\"\r\n        differentials = []\r\n        evidence = []\r\n        \r\n        # HIV相关机会性感染判断\r\n        is_hiv_related = history and any(\r\n            kw in history.lower() for kw in [\"hiv\", \"aids\", \"艾滋\"]\r\n        )\r\n        \r\n        # 检测CD4计数\r\n        cd4_count = None\r\n        if lab_results:\r\n            cd4_match = re.search(r'cd4[^\\d]*(\\d+)', lab_results.lower())\r\n            if cd4_match:\r\n                cd4_count = int(cd4_match.group(1))\r\n                evidence.append(f\"CD4计数: {cd4_count}\")\r\n        \r\n        # 基于症状和病史生成鉴别诊断\r\n        if is_hiv_related:\r\n            if cd4_count and cd4_count < 200:\r\n                # 严重免疫缺陷\r\n                if any(s in symptoms for s in [\"干咳\", \"呼吸困难\", \"发热\"]):\r\n                    differentials.append(\"肺孢子虫肺炎 (PCP) - 高度怀疑\")\r\n                    differentials.append(\"细菌性肺炎\")\r\n                    differentials.append(\"肺结核\")\r\n                elif any(s in symptoms for s in [\"头痛\", \"意识\"]):\r\n                    differentials.append(\"隐球菌脑膜炎\")\r\n                    differentials.append(\"弓形虫脑病\")\r\n            else:\r\n                differentials.append(\"需要更多信息进行鉴别\")\r\n        else:\r\n            # 非HIV患者\r\n            if any(s in symptoms for s in [\"咳嗽\", \"发热\"]):\r\n                differentials.append(\"社区获得性肺炎\")\r\n                differentials.append(\"病毒性上呼吸道感染\")\r\n                differentials.append(\"支气管炎\")\r\n        \r\n        content = \"鉴别诊断: \" + \", \".join(differentials) if differentials else \"需要更多信息\"\r\n        \r\n        return DiagnosisStep(\r\n            step_name=\"鉴别诊断\",\r\n            content=content,\r\n            evidence=evidence,\r\n            confidence=0.75 if differentials else 0.3\r\n        )\r\n    \r\n    def _suggest_examinations(\r\n        self, differential: str, existing_labs: Optional[str]\r\n    ) -> DiagnosisStep:\r\n        \"\"\"建议进一步检查\"\"\"\r\n        suggestions = []\r\n        \r\n        if \"PCP\" in differential or \"肺孢子虫\" in differential:\r\n            suggestions.extend([\r\n                \"诱导痰检查（银染色/免疫荧光）\",\r\n                \"血气分析\",\r\n                \"乳酸脱氢酶 (LDH)\",\r\n                \"胸部CT\",\r\n                \"支气管肺泡灌洗 (BAL)\",\r\n            ])\r\n        elif \"脑膜炎\" in differential:\r\n            suggestions.extend([\r\n                \"腰椎穿刺\",\r\n                \"脑脊液墨汁染色\",\r\n                \"隐球菌抗原检测\",\r\n                \"头颅MRI\",\r\n            ])\r\n        else:\r\n            suggestions.extend([\r\n                \"血常规\",\r\n                \"C反应蛋白\",\r\n                \"胸部X线\",\r\n            ])\r\n        \r\n        # 排除已有检查\r\n        if existing_labs:\r\n            suggestions = [s for s in suggestions if s.split(\"(\")[0] not in existing_labs]\r\n        \r\n        content = \"建议检查: \" + \", \".join(suggestions[:5])  # 最多5项\r\n        \r\n        return DiagnosisStep(\r\n            step_name=\"检查建议\",\r\n            content=content,\r\n            evidence=[],\r\n            confidence=0.8\r\n        )\r\n    \r\n    def _conclude_diagnosis(\r\n        self,\r\n        reasoning_chain: List[DiagnosisStep],\r\n        lab_results: Optional[str],\r\n    ) -> tuple:\r\n        \"\"\"得出诊断结论\"\"\"\r\n        # 从鉴别诊断步骤提取\r\n        differential_step = reasoning_chain[2]  # Step 3\r\n        \r\n        # 解析鉴别诊断\r\n        differentials = []\r\n        primary = \"诊断待定\"\r\n        \r\n        if \"高度怀疑\" in differential_step.content:\r\n            # 提取高度怀疑的诊断作为主诊断\r\n            match = re.search(r'([^,]+)\\s*-\\s*高度怀疑', differential_step.content)\r\n            if match:\r\n                primary = match.group(1).strip()\r\n        \r\n        # 提取所有鉴别诊断\r\n        diff_match = re.search(r'鉴别诊断:\\s*(.+)', differential_step.content)\r\n        if diff_match:\r\n            diff_list = diff_match.group(1).split(\", \")\r\n            differentials = [d.split(\" - \")[0].strip() for d in diff_list if d != primary]\r\n        \r\n        content = f\"综合分析，最可能的诊断为: {primary}\"\r\n        \r\n        step = DiagnosisStep(\r\n            step_name=\"诊断结论\",\r\n            content=content,\r\n            evidence=[s.step_name for s in reasoning_chain if s.confidence > 0.6],\r\n            confidence=0.85 if \"高度怀疑\" in differential_step.content else 0.5\r\n        )\r\n        \r\n        return step, primary, differentials\r\n    \r\n    def _calculate_confidence(\r\n        self,\r\n        reasoning_chain: List[DiagnosisStep],\r\n        evidence: List[str],\r\n        lab_results: Optional[str],\r\n    ) -> float:\r\n        \"\"\"计算总体置信度\"\"\"\r\n        # 基础置信度：各步骤置信度加权平均\r\n        weights = [0.15, 0.15, 0.25, 0.15, 0.30]  # 诊断结论权重最高\r\n        base_confidence = sum(\r\n            step.confidence * weight \r\n            for step, weight in zip(reasoning_chain, weights)\r\n        )\r\n        \r\n        # 证据加成\r\n        evidence_bonus = min(len(evidence) * 0.02, 0.1)\r\n        \r\n        # 实验室结果加成\r\n        lab_bonus = 0.05 if lab_results else 0\r\n        \r\n        total = base_confidence + evidence_bonus + lab_bonus\r\n        return min(max(total, 0.0), 1.0)  # 限制在0-1之间\r\n    \r\n    def _get_confidence_level(self, score: float) -> ConfidenceLevel:\r\n        \"\"\"根据分数获取置信度等级\"\"\"\r\n        if score >= self.CONFIDENCE_THRESHOLDS[\"high\"]:\r\n            return ConfidenceLevel.HIGH\r\n        elif score >= self.CONFIDENCE_THRESHOLDS[\"medium\"]:\r\n            return ConfidenceLevel.MEDIUM\r\n        elif score > 0.3:\r\n            return ConfidenceLevel.LOW\r\n        else:\r\n            return ConfidenceLevel.UNCERTAIN\r\n    \r\n    def _generate_recommendations(\r\n        self,\r\n        diagnosis: str,\r\n        confidence: ConfidenceLevel,\r\n        lab_results: Optional[str],\r\n    ) -> List[str]:\r\n        \"\"\"生成治疗建议\"\"\"\r\n        recommendations = []\r\n        \r\n        if \"PCP\" in diagnosis or \"肺孢子虫\" in diagnosis:\r\n            recommendations.extend([\r\n                \"首选治疗: 复方磺胺甲噁唑 (TMP-SMX)\",\r\n                \"替代方案: 喷他脒或阿托伐醌\",\r\n                \"严重病例考虑糖皮质激素辅助治疗\",\r\n                \"监测血氧饱和度\",\r\n            ])\r\n        \r\n        if confidence in [ConfidenceLevel.LOW, ConfidenceLevel.UNCERTAIN]:\r\n            recommendations.append(\"建议进一步检查以明确诊断\")\r\n            recommendations.append(\"必要时请专科会诊\")\r\n        \r\n        if not recommendations:\r\n            recommendations.append(\"根据具体情况制定治疗方案\")\r\n        \r\n        return recommendations\r\n    \r\n    def _generate_warnings(\r\n        self,\r\n        confidence: ConfidenceLevel,\r\n        diagnosis: str,\r\n    ) -> List[str]:\r\n        \"\"\"生成警告信息\"\"\"\r\n        warnings = []\r\n        \r\n        if confidence == ConfidenceLevel.LOW:\r\n            warnings.append(\"置信度较低，诊断结果仅供参考\")\r\n        elif confidence == ConfidenceLevel.UNCERTAIN:\r\n            warnings.append(\"信息不足，无法做出可靠诊断\")\r\n        \r\n        warnings.append(\"本诊断由AI辅助生成，最终诊断请以临床医生判断为准\")\r\n        \r\n        return warnings\r\n    \r\n    def generate_cod_prompt(self) -> str:\r\n        \"\"\"\r\n        生成CoD提示词模板\r\n        可用于配置LLM的系统提示词\r\n        \"\"\"\r\n        return \"\"\"你是一位专业的医学诊断助手，请使用诊断推理链(Chain-of-Diagnosis, CoD)方法进行分析。\r\n\r\n请按以下步骤进行诊断推理：\r\n\r\n【步骤1 - 症状分析】\r\n分析患者的主诉和症状，识别关键临床表现。\r\n\r\n【步骤2 - 病史关联】\r\n结合既往病史，分析与当前症状的关联性。\r\n\r\n【步骤3 - 鉴别诊断】\r\n列出可能的诊断，并说明支持和反对的证据。\r\n\r\n【步骤4 - 检查建议】\r\n建议进一步的检查以明确诊断。\r\n\r\n【步骤5 - 诊断结论】\r\n给出最可能的诊断，并标注置信度：\r\n- HIGH (高置信度 >85%): 证据充分，诊断明确\r\n- MEDIUM (中等置信度 60-85%): 有一定依据，但需进一步确认\r\n- LOW (低置信度 <60%): 信息不足，仅供参考\r\n\r\n请始终提醒：AI诊断仅供参考，最终诊断请以临床医生判断为准。\r\n\"\"\"\r\n"
  },
  {
    "path": "pathology-ai/code-changes/medical_extension/confidence_evaluator.py",
    "content": "\"\"\"\r\n置信度评估系统\r\nConfidence Evaluation System for Medical AI\r\n\r\n提供医疗AI回答的置信度评估功能，支持：\r\n1. 基于证据的置信度计算\r\n2. 不确定性量化\r\n3. 风险等级评估\r\n\r\nAuthor: Pathology AI Team\r\n\"\"\"\r\n\r\nfrom dataclasses import dataclass\r\nfrom typing import List, Dict, Optional, Tuple\r\nfrom enum import Enum\r\nimport re\r\n\r\n\r\nclass RiskLevel(Enum):\r\n    \"\"\"风险等级\"\"\"\r\n    CRITICAL = \"critical\"    # 危急\r\n    HIGH = \"high\"            # 高风险\r\n    MEDIUM = \"medium\"        # 中等风险\r\n    LOW = \"low\"              # 低风险\r\n\r\n\r\n@dataclass\r\nclass ConfidenceReport:\r\n    \"\"\"置信度评估报告\"\"\"\r\n    overall_score: float           # 总体置信度 (0-1)\r\n    confidence_level: str          # 置信度等级 (HIGH/MEDIUM/LOW)\r\n    evidence_score: float          # 证据充分度\r\n    consistency_score: float       # 一致性得分\r\n    completeness_score: float      # 完整性得分\r\n    risk_level: RiskLevel          # 风险等级\r\n    factors: Dict[str, float]      # 各因素得分\r\n    recommendations: List[str]     # 建议\r\n    warnings: List[str]            # 警告\r\n    \r\n    def to_dict(self) -> Dict:\r\n        return {\r\n            \"overall_score\": self.overall_score,\r\n            \"confidence_level\": self.confidence_level,\r\n            \"evidence_score\": self.evidence_score,\r\n            \"consistency_score\": self.consistency_score,\r\n            \"completeness_score\": self.completeness_score,\r\n            \"risk_level\": self.risk_level.value,\r\n            \"factors\": self.factors,\r\n            \"recommendations\": self.recommendations,\r\n            \"warnings\": self.warnings,\r\n        }\r\n\r\n\r\nclass ConfidenceEvaluator:\r\n    \"\"\"\r\n    置信度评估器\r\n    \r\n    评估维度：\r\n    1. 证据充分度：支持诊断的证据数量和质量\r\n    2. 一致性：症状、检查结果与诊断的一致性\r\n    3. 完整性：信息的完整程度\r\n    4. 确定性：诊断的确定程度\r\n    \r\n    Usage:\r\n        evaluator = ConfidenceEvaluator()\r\n        report = evaluator.evaluate(\r\n            diagnosis=\"肺孢子虫肺炎\",\r\n            symptoms=[\"干咳\", \"呼吸困难\", \"发热\"],\r\n            lab_results={\"CD4\": 150, \"LDH\": \"升高\"},\r\n            evidence=[\"HIV阳性\", \"CD4<200\"]\r\n        )\r\n        print(f\"置信度: {report.confidence_level} ({report.overall_score:.2f})\")\r\n    \"\"\"\r\n    \r\n    # 置信度阈值\r\n    THRESHOLDS = {\r\n        \"high\": 0.85,\r\n        \"medium\": 0.60,\r\n        \"low\": 0.30,\r\n    }\r\n    \r\n    # 关键证据权重\r\n    EVIDENCE_WEIGHTS = {\r\n        \"病理确诊\": 1.0,\r\n        \"实验室确诊\": 0.9,\r\n        \"影像学典型表现\": 0.8,\r\n        \"临床症状典型\": 0.7,\r\n        \"病史支持\": 0.6,\r\n        \"经验性诊断\": 0.4,\r\n    }\r\n    \r\n    # 高风险诊断关键词\r\n    HIGH_RISK_KEYWORDS = [\r\n        \"恶性\", \"癌\", \"肿瘤\", \"转移\", \"急性\", \"重症\",\r\n        \"休克\", \"衰竭\", \"危重\", \"紧急\",\r\n    ]\r\n    \r\n    def __init__(self):\r\n        \"\"\"初始化评估器\"\"\"\r\n        self._custom_rules = []\r\n    \r\n    def evaluate(\r\n        self,\r\n        diagnosis: str,\r\n        symptoms: Optional[List[str]] = None,\r\n        lab_results: Optional[Dict] = None,\r\n        imaging_findings: Optional[List[str]] = None,\r\n        evidence: Optional[List[str]] = None,\r\n        medical_history: Optional[str] = None,\r\n    ) -> ConfidenceReport:\r\n        \"\"\"\r\n        评估诊断置信度\r\n        \r\n        Args:\r\n            diagnosis: 诊断结果\r\n            symptoms: 症状列表\r\n            lab_results: 实验室结果\r\n            imaging_findings: 影像学发现\r\n            evidence: 支持证据\r\n            medical_history: 病史\r\n            \r\n        Returns:\r\n            ConfidenceReport: 置信度评估报告\r\n        \"\"\"\r\n        factors = {}\r\n        \r\n        # 1. 评估证据充分度\r\n        evidence_score = self._evaluate_evidence(evidence or [])\r\n        factors[\"evidence\"] = evidence_score\r\n        \r\n        # 2. 评估一致性\r\n        consistency_score = self._evaluate_consistency(\r\n            diagnosis, symptoms or [], lab_results or {}\r\n        )\r\n        factors[\"consistency\"] = consistency_score\r\n        \r\n        # 3. 评估完整性\r\n        completeness_score = self._evaluate_completeness(\r\n            symptoms, lab_results, imaging_findings, medical_history\r\n        )\r\n        factors[\"completeness\"] = completeness_score\r\n        \r\n        # 4. 评估确定性\r\n        certainty_score = self._evaluate_certainty(diagnosis)\r\n        factors[\"certainty\"] = certainty_score\r\n        \r\n        # 计算总体置信度\r\n        overall_score = self._calculate_overall_score(factors)\r\n        \r\n        # 确定置信度等级\r\n        confidence_level = self._get_confidence_level(overall_score)\r\n        \r\n        # 评估风险等级\r\n        risk_level = self._evaluate_risk(diagnosis, overall_score)\r\n        \r\n        # 生成建议\r\n        recommendations = self._generate_recommendations(\r\n            confidence_level, factors, diagnosis\r\n        )\r\n        \r\n        # 生成警告\r\n        warnings = self._generate_warnings(\r\n            confidence_level, risk_level, diagnosis\r\n        )\r\n        \r\n        return ConfidenceReport(\r\n            overall_score=overall_score,\r\n            confidence_level=confidence_level,\r\n            evidence_score=evidence_score,\r\n            consistency_score=consistency_score,\r\n            completeness_score=completeness_score,\r\n            risk_level=risk_level,\r\n            factors=factors,\r\n            recommendations=recommendations,\r\n            warnings=warnings,\r\n        )\r\n    \r\n    def _evaluate_evidence(self, evidence: List[str]) -> float:\r\n        \"\"\"评估证据充分度\"\"\"\r\n        if not evidence:\r\n            return 0.3\r\n        \r\n        score = 0.0\r\n        max_weight = 0.0\r\n        \r\n        for e in evidence:\r\n            for key, weight in self.EVIDENCE_WEIGHTS.items():\r\n                if key in e or any(k in e for k in key.split()):\r\n                    score += weight\r\n                    max_weight = max(max_weight, weight)\r\n                    break\r\n            else:\r\n                # 未匹配到预定义证据类型，给基础分\r\n                score += 0.3\r\n        \r\n        # 归一化\r\n        normalized = min(score / max(len(evidence), 1) * 0.5 + max_weight * 0.5, 1.0)\r\n        return normalized\r\n    \r\n    def _evaluate_consistency(\r\n        self,\r\n        diagnosis: str,\r\n        symptoms: List[str],\r\n        lab_results: Dict,\r\n    ) -> float:\r\n        \"\"\"评估一致性\"\"\"\r\n        score = 0.5  # 基础分\r\n        \r\n        # 定义诊断-症状关联\r\n        diagnosis_symptom_map = {\r\n            \"肺孢子虫肺炎\": [\"干咳\", \"呼吸困难\", \"发热\", \"低氧\"],\r\n            \"PCP\": [\"干咳\", \"呼吸困难\", \"发热\", \"低氧\"],\r\n            \"隐球菌脑膜炎\": [\"头痛\", \"发热\", \"意识改变\", \"颈强直\"],\r\n            \"结核\": [\"咳嗽\", \"盗汗\", \"体重下降\", \"发热\"],\r\n            \"肺炎\": [\"咳嗽\", \"发热\", \"胸痛\", \"呼吸困难\"],\r\n        }\r\n        \r\n        # 检查症状一致性\r\n        for diag_key, expected_symptoms in diagnosis_symptom_map.items():\r\n            if diag_key in diagnosis:\r\n                matched = sum(1 for s in symptoms if any(es in s for es in expected_symptoms))\r\n                if matched > 0:\r\n                    score += min(matched / len(expected_symptoms) * 0.3, 0.3)\r\n                break\r\n        \r\n        # 检查实验室结果一致性\r\n        if lab_results:\r\n            # CD4计数与HIV相关诊断\r\n            cd4 = lab_results.get(\"CD4\") or lab_results.get(\"cd4\")\r\n            if cd4 and isinstance(cd4, (int, float)):\r\n                if \"PCP\" in diagnosis or \"肺孢子虫\" in diagnosis:\r\n                    if cd4 < 200:\r\n                        score += 0.2\r\n                    elif cd4 < 350:\r\n                        score += 0.1\r\n        \r\n        return min(score, 1.0)\r\n    \r\n    def _evaluate_completeness(\r\n        self,\r\n        symptoms: Optional[List[str]],\r\n        lab_results: Optional[Dict],\r\n        imaging: Optional[List[str]],\r\n        history: Optional[str],\r\n    ) -> float:\r\n        \"\"\"评估信息完整性\"\"\"\r\n        score = 0.0\r\n        \r\n        # 各项信息的权重\r\n        if symptoms and len(symptoms) > 0:\r\n            score += 0.3\r\n        if lab_results and len(lab_results) > 0:\r\n            score += 0.3\r\n        if imaging and len(imaging) > 0:\r\n            score += 0.2\r\n        if history and len(history) > 10:\r\n            score += 0.2\r\n        \r\n        return score\r\n    \r\n    def _evaluate_certainty(self, diagnosis: str) -> float:\r\n        \"\"\"评估诊断确定性\"\"\"\r\n        # 不确定性关键词\r\n        uncertain_keywords = [\r\n            \"可能\", \"疑似\", \"待排除\", \"不除外\", \"考虑\",\r\n            \"建议进一步\", \"需要确认\", \"待定\",\r\n        ]\r\n        \r\n        # 确定性关键词\r\n        certain_keywords = [\r\n            \"确诊\", \"明确\", \"典型\", \"符合\", \"诊断明确\",\r\n        ]\r\n        \r\n        score = 0.5  # 基础分\r\n        \r\n        for kw in uncertain_keywords:\r\n            if kw in diagnosis:\r\n                score -= 0.1\r\n        \r\n        for kw in certain_keywords:\r\n            if kw in diagnosis:\r\n                score += 0.15\r\n        \r\n        return max(min(score, 1.0), 0.1)\r\n    \r\n    def _calculate_overall_score(self, factors: Dict[str, float]) -> float:\r\n        \"\"\"计算总体置信度\"\"\"\r\n        weights = {\r\n            \"evidence\": 0.35,\r\n            \"consistency\": 0.25,\r\n            \"completeness\": 0.20,\r\n            \"certainty\": 0.20,\r\n        }\r\n        \r\n        score = sum(\r\n            factors.get(k, 0) * w \r\n            for k, w in weights.items()\r\n        )\r\n        \r\n        return round(score, 3)\r\n    \r\n    def _get_confidence_level(self, score: float) -> str:\r\n        \"\"\"获取置信度等级\"\"\"\r\n        if score >= self.THRESHOLDS[\"high\"]:\r\n            return \"HIGH\"\r\n        elif score >= self.THRESHOLDS[\"medium\"]:\r\n            return \"MEDIUM\"\r\n        elif score >= self.THRESHOLDS[\"low\"]:\r\n            return \"LOW\"\r\n        else:\r\n            return \"UNCERTAIN\"\r\n    \r\n    def _evaluate_risk(self, diagnosis: str, confidence: float) -> RiskLevel:\r\n        \"\"\"评估风险等级\"\"\"\r\n        # 检查高风险关键词\r\n        has_high_risk = any(kw in diagnosis for kw in self.HIGH_RISK_KEYWORDS)\r\n        \r\n        if has_high_risk and confidence < 0.6:\r\n            return RiskLevel.CRITICAL\r\n        elif has_high_risk:\r\n            return RiskLevel.HIGH\r\n        elif confidence < 0.5:\r\n            return RiskLevel.MEDIUM\r\n        else:\r\n            return RiskLevel.LOW\r\n    \r\n    def _generate_recommendations(\r\n        self,\r\n        confidence_level: str,\r\n        factors: Dict[str, float],\r\n        diagnosis: str,\r\n    ) -> List[str]:\r\n        \"\"\"生成建议\"\"\"\r\n        recommendations = []\r\n        \r\n        if factors.get(\"evidence\", 0) < 0.5:\r\n            recommendations.append(\"建议补充更多诊断依据\")\r\n        \r\n        if factors.get(\"completeness\", 0) < 0.5:\r\n            recommendations.append(\"建议完善病史和检查资料\")\r\n        \r\n        if confidence_level in [\"LOW\", \"UNCERTAIN\"]:\r\n            recommendations.append(\"建议进一步检查以明确诊断\")\r\n            recommendations.append(\"必要时请专科会诊\")\r\n        \r\n        if not recommendations:\r\n            recommendations.append(\"诊断依据充分，可按诊断进行治疗\")\r\n        \r\n        return recommendations\r\n    \r\n    def _generate_warnings(\r\n        self,\r\n        confidence_level: str,\r\n        risk_level: RiskLevel,\r\n        diagnosis: str,\r\n    ) -> List[str]:\r\n        \"\"\"生成警告\"\"\"\r\n        warnings = []\r\n        \r\n        if risk_level == RiskLevel.CRITICAL:\r\n            warnings.append(\"⚠️ 危急情况：诊断不确定但可能为严重疾病，请立即处理\")\r\n        \r\n        if confidence_level == \"UNCERTAIN\":\r\n            warnings.append(\"⚠️ 置信度极低，诊断结果仅供参考\")\r\n        elif confidence_level == \"LOW\":\r\n            warnings.append(\"⚠️ 置信度较低，建议谨慎采纳\")\r\n        \r\n        warnings.append(\"本评估由AI生成，最终诊断请以临床医生判断为准\")\r\n        \r\n        return warnings\r\n    \r\n    def add_custom_rule(\r\n        self,\r\n        condition: callable,\r\n        score_modifier: float,\r\n        description: str,\r\n    ):\r\n        \"\"\"\r\n        添加自定义评估规则\r\n        \r\n        Args:\r\n            condition: 条件函数，接收诊断信息，返回bool\r\n            score_modifier: 分数修正值 (-1 到 1)\r\n            description: 规则描述\r\n        \"\"\"\r\n        self._custom_rules.append({\r\n            \"condition\": condition,\r\n            \"modifier\": score_modifier,\r\n            \"description\": description,\r\n        })\r\n    \r\n    def format_report(self, report: ConfidenceReport) -> str:\r\n        \"\"\"格式化置信度报告\"\"\"\r\n        lines = []\r\n        lines.append(\"=\" * 40)\r\n        lines.append(\"【置信度评估报告】\")\r\n        lines.append(\"=\" * 40)\r\n        \r\n        # 置信度等级\r\n        level_emoji = {\r\n            \"HIGH\": \"🟢\", \"MEDIUM\": \"🟡\", \r\n            \"LOW\": \"🔴\", \"UNCERTAIN\": \"⚪\"\r\n        }\r\n        lines.append(f\"\\n总体置信度: {level_emoji.get(report.confidence_level, '⚪')} \"\r\n                    f\"{report.confidence_level} ({report.overall_score*100:.1f}%)\")\r\n        \r\n        # 各维度得分\r\n        lines.append(f\"\\n📊 评估维度:\")\r\n        lines.append(f\"  • 证据充分度: {report.evidence_score*100:.0f}%\")\r\n        lines.append(f\"  • 一致性: {report.consistency_score*100:.0f}%\")\r\n        lines.append(f\"  • 完整性: {report.completeness_score*100:.0f}%\")\r\n        \r\n        # 风险等级\r\n        risk_emoji = {\r\n            \"critical\": \"🔴\", \"high\": \"🟠\",\r\n            \"medium\": \"🟡\", \"low\": \"🟢\"\r\n        }\r\n        lines.append(f\"\\n⚠️ 风险等级: {risk_emoji.get(report.risk_level.value, '⚪')} \"\r\n                    f\"{report.risk_level.value.upper()}\")\r\n        \r\n        # 建议\r\n        if report.recommendations:\r\n            lines.append(f\"\\n💡 建议:\")\r\n            for rec in report.recommendations:\r\n                lines.append(f\"  • {rec}\")\r\n        \r\n        # 警告\r\n        if report.warnings:\r\n            lines.append(f\"\\n⚠️ 警告:\")\r\n            for warn in report.warnings:\r\n                lines.append(f\"  • {warn}\")\r\n        \r\n        lines.append(\"\\n\" + \"=\" * 40)\r\n        return \"\\n\".join(lines)\r\n"
  },
  {
    "path": "pathology-ai/code-changes/medical_extension/medical_prompts.py",
    "content": "\"\"\"\r\n医疗提示词库\r\nMedical Prompt Library for Nexent Platform\r\n\r\n提供预置的医疗领域提示词模板，支持：\r\n1. CoD诊断推理链提示词\r\n2. 不确定性感知提示词\r\n3. 专科领域提示词\r\n4. 安全性提示词\r\n\r\nAuthor: Pathology AI Team\r\n\"\"\"\r\n\r\nfrom typing import Dict, List, Optional\r\nfrom enum import Enum\r\n\r\n\r\nclass PromptCategory(Enum):\r\n    \"\"\"提示词分类\"\"\"\r\n    DIAGNOSIS = \"diagnosis\"           # 诊断类\r\n    TREATMENT = \"treatment\"           # 治疗类\r\n    SAFETY = \"safety\"                 # 安全类\r\n    SPECIALTY = \"specialty\"           # 专科类\r\n    GENERAL = \"general\"               # 通用类\r\n\r\n\r\nclass MedicalPromptLibrary:\r\n    \"\"\"\r\n    医疗提示词库\r\n    \r\n    提供标准化的医疗AI提示词模板，确保：\r\n    1. 诊断推理的结构化\r\n    2. 不确定性的明确表达\r\n    3. 安全性提醒\r\n    4. 专业性保证\r\n    \r\n    Usage:\r\n        library = MedicalPromptLibrary()\r\n        cod_prompt = library.get_prompt(\"chain_of_diagnosis\")\r\n        all_prompts = library.list_prompts()\r\n    \"\"\"\r\n    \r\n    def __init__(self):\r\n        \"\"\"初始化提示词库\"\"\"\r\n        self._prompts: Dict[str, Dict] = {}\r\n        self._load_builtin_prompts()\r\n    \r\n    def _load_builtin_prompts(self):\r\n        \"\"\"加载内置提示词\"\"\"\r\n        \r\n        # 1. 诊断推理链 (CoD) 核心提示词\r\n        self._prompts[\"chain_of_diagnosis\"] = {\r\n            \"id\": \"chain_of_diagnosis\",\r\n            \"name\": \"诊断推理链 (CoD)\",\r\n            \"category\": PromptCategory.DIAGNOSIS,\r\n            \"description\": \"结构化的诊断推理方法，分步骤进行临床分析\",\r\n            \"prompt\": self._get_cod_prompt(),\r\n            \"variables\": [\"patient_info\"],\r\n            \"tags\": [\"核心\", \"诊断\", \"推理\"],\r\n        }\r\n        \r\n        # 2. 不确定性感知提示词\r\n        self._prompts[\"uncertainty_aware\"] = {\r\n            \"id\": \"uncertainty_aware\",\r\n            \"name\": \"不确定性感知\",\r\n            \"category\": PromptCategory.SAFETY,\r\n            \"description\": \"在回答中明确标注置信度和不确定性\",\r\n            \"prompt\": self._get_uncertainty_prompt(),\r\n            \"variables\": [],\r\n            \"tags\": [\"安全\", \"置信度\", \"不确定性\"],\r\n        }\r\n        \r\n        # 3. 安全性基础提示词\r\n        self._prompts[\"safety_base\"] = {\r\n            \"id\": \"safety_base\",\r\n            \"name\": \"医疗安全基础\",\r\n            \"category\": PromptCategory.SAFETY,\r\n            \"description\": \"医疗AI的基础安全提醒\",\r\n            \"prompt\": self._get_safety_prompt(),\r\n            \"variables\": [],\r\n            \"tags\": [\"安全\", \"免责\", \"基础\"],\r\n        }\r\n        \r\n        # 4. HIV/AIDS专科提示词\r\n        self._prompts[\"hiv_specialist\"] = {\r\n            \"id\": \"hiv_specialist\",\r\n            \"name\": \"HIV/AIDS专科\",\r\n            \"category\": PromptCategory.SPECIALTY,\r\n            \"description\": \"HIV/AIDS诊疗专业提示词\",\r\n            \"prompt\": self._get_hiv_prompt(),\r\n            \"variables\": [\"cd4_count\", \"viral_load\"],\r\n            \"tags\": [\"HIV\", \"AIDS\", \"感染\", \"专科\"],\r\n        }\r\n        \r\n        # 5. 病理诊断提示词\r\n        self._prompts[\"pathology_diagnosis\"] = {\r\n            \"id\": \"pathology_diagnosis\",\r\n            \"name\": \"病理诊断\",\r\n            \"category\": PromptCategory.SPECIALTY,\r\n            \"description\": \"病理学诊断专业提示词\",\r\n            \"prompt\": self._get_pathology_prompt(),\r\n            \"variables\": [\"specimen_type\", \"staining_method\"],\r\n            \"tags\": [\"病理\", \"诊断\", \"专科\"],\r\n        }\r\n        \r\n        # 6. 鉴别诊断提示词\r\n        self._prompts[\"differential_diagnosis\"] = {\r\n            \"id\": \"differential_diagnosis\",\r\n            \"name\": \"鉴别诊断\",\r\n            \"category\": PromptCategory.DIAGNOSIS,\r\n            \"description\": \"系统性鉴别诊断方法\",\r\n            \"prompt\": self._get_differential_prompt(),\r\n            \"variables\": [\"chief_complaint\"],\r\n            \"tags\": [\"诊断\", \"鉴别\", \"系统\"],\r\n        }\r\n        \r\n        # 7. 治疗建议提示词\r\n        self._prompts[\"treatment_suggestion\"] = {\r\n            \"id\": \"treatment_suggestion\",\r\n            \"name\": \"治疗建议\",\r\n            \"category\": PromptCategory.TREATMENT,\r\n            \"description\": \"基于循证医学的治疗建议\",\r\n            \"prompt\": self._get_treatment_prompt(),\r\n            \"variables\": [\"diagnosis\", \"patient_condition\"],\r\n            \"tags\": [\"治疗\", \"用药\", \"建议\"],\r\n        }\r\n        \r\n        # 8. 完整医疗助手提示词（组合版）\r\n        self._prompts[\"medical_assistant_full\"] = {\r\n            \"id\": \"medical_assistant_full\",\r\n            \"name\": \"完整医疗助手\",\r\n            \"category\": PromptCategory.GENERAL,\r\n            \"description\": \"包含CoD、不确定性感知和安全提醒的完整提示词\",\r\n            \"prompt\": self._get_full_assistant_prompt(),\r\n            \"variables\": [],\r\n            \"tags\": [\"完整\", \"推荐\", \"综合\"],\r\n        }\r\n    \r\n    def _get_cod_prompt(self) -> str:\r\n        \"\"\"诊断推理链提示词\"\"\"\r\n        return \"\"\"## 诊断推理链 (Chain-of-Diagnosis, CoD)\r\n\r\n请按以下步骤进行诊断推理：\r\n\r\n### 【步骤1 - 症状分析】\r\n- 识别主诉和主要症状\r\n- 分析症状的特点（部位、性质、程度、时间）\r\n- 注意伴随症状\r\n\r\n### 【步骤2 - 病史关联】\r\n- 既往病史与当前症状的关系\r\n- 用药史和过敏史\r\n- 家族史和社会史\r\n\r\n### 【步骤3 - 鉴别诊断】\r\n- 列出可能的诊断（按可能性排序）\r\n- 分析支持和反对每个诊断的证据\r\n- 考虑常见病和危重病\r\n\r\n### 【步骤4 - 检查建议】\r\n- 建议必要的实验室检查\r\n- 建议必要的影像学检查\r\n- 说明检查目的\r\n\r\n### 【步骤5 - 诊断结论】\r\n- 给出最可能的诊断\r\n- 标注置信度等级\r\n- 说明诊断依据\r\n\"\"\"\r\n    \r\n    def _get_uncertainty_prompt(self) -> str:\r\n        \"\"\"不确定性感知提示词\"\"\"\r\n        return \"\"\"## 不确定性标注规范\r\n\r\n在给出诊断或建议时，请标注置信度：\r\n\r\n### 置信度等级\r\n- **HIGH (高置信度 >85%)**\r\n  - 证据充分，诊断明确\r\n  - 符合典型临床表现\r\n  - 有确诊性检查结果支持\r\n\r\n- **MEDIUM (中等置信度 60-85%)**\r\n  - 有一定依据，但需进一步确认\r\n  - 部分符合典型表现\r\n  - 需要排除其他诊断\r\n\r\n- **LOW (低置信度 <60%)**\r\n  - 信息不足，仅供参考\r\n  - 表现不典型\r\n  - 需要更多检查\r\n\r\n- **UNCERTAIN (不确定)**\r\n  - 无法做出可靠判断\r\n  - 信息严重不足\r\n  - 建议进一步检查\r\n\r\n### 标注格式\r\n在诊断结论后标注：[置信度: HIGH/MEDIUM/LOW/UNCERTAIN]\r\n\"\"\"\r\n    \r\n    def _get_safety_prompt(self) -> str:\r\n        \"\"\"安全性提示词\"\"\"\r\n        return \"\"\"## 医疗安全提醒\r\n\r\n### 重要声明\r\n1. 本AI仅提供辅助参考，不能替代专业医生的诊断\r\n2. 最终诊断和治疗决策应由执业医师做出\r\n3. 紧急情况请立即就医或拨打急救电话\r\n\r\n### 使用限制\r\n- 不提供处方药物的具体剂量\r\n- 不对危急重症做出延误治疗的建议\r\n- 不替代必要的医学检查\r\n\r\n### 免责说明\r\nAI诊断建议仅供参考，使用者应自行承担相应风险。\r\n如有疑问，请咨询专业医疗人员。\r\n\"\"\"\r\n    \r\n    def _get_hiv_prompt(self) -> str:\r\n        \"\"\"HIV/AIDS专科提示词\"\"\"\r\n        return \"\"\"## HIV/AIDS诊疗专家\r\n\r\n### 专业领域\r\n- HIV感染的诊断与分期\r\n- 抗逆转录病毒治疗(ART)方案\r\n- 机会性感染的预防与治疗\r\n- HIV相关肿瘤\r\n- 免疫重建炎症综合征(IRIS)\r\n\r\n### CD4计数与感染风险\r\n| CD4计数 | 风险等级 | 常见机会性感染 |\r\n|---------|----------|----------------|\r\n| <200 | 高风险 | PCP、弓形虫、隐球菌 |\r\n| <100 | 极高风险 | CMV、MAC |\r\n| <50 | 危重 | 播散性真菌感染 |\r\n\r\n### 常见机会性感染诊断要点\r\n1. **肺孢子虫肺炎(PCP)**\r\n   - 症状：干咳、进行性呼吸困难、发热\r\n   - 检查：诱导痰、BAL、LDH升高\r\n   - 治疗：TMP-SMX\r\n\r\n2. **隐球菌脑膜炎**\r\n   - 症状：头痛、发热、意识改变\r\n   - 检查：腰穿、墨汁染色、隐球菌抗原\r\n   - 治疗：两性霉素B + 氟康唑\r\n\r\n3. **结核病**\r\n   - 症状：咳嗽、盗汗、体重下降\r\n   - 检查：痰涂片、培养、GeneXpert\r\n   - 注意：与ART的药物相互作用\r\n\"\"\"\r\n    \r\n    def _get_pathology_prompt(self) -> str:\r\n        \"\"\"病理诊断提示词\"\"\"\r\n        return \"\"\"## 病理诊断专家\r\n\r\n### 专业能力\r\n- 组织病理学诊断\r\n- 细胞病理学诊断\r\n- 分子病理学解读\r\n- 免疫组化分析\r\n\r\n### 诊断流程\r\n1. **标本信息**：部位、类型、固定方式\r\n2. **大体描述**：大小、颜色、质地、切面\r\n3. **镜下所见**：细胞形态、组织结构、特殊发现\r\n4. **特殊染色/免疫组化**：结果及意义\r\n5. **病理诊断**：诊断名称、分级分期\r\n6. **备注**：建议进一步检查或会诊\r\n\r\n### HIV相关病理改变\r\n- 淋巴结：滤泡增生→耗竭\r\n- 肺：PCP间质性肺炎\r\n- 皮肤：卡波西肉瘤\r\n- 脑：弓形虫脑病、PML\r\n\r\n### 报告规范\r\n- 使用标准化术语\r\n- 明确诊断依据\r\n- 标注置信度\r\n- 必要时建议会诊\r\n\"\"\"\r\n    \r\n    def _get_differential_prompt(self) -> str:\r\n        \"\"\"鉴别诊断提示词\"\"\"\r\n        return \"\"\"## 鉴别诊断方法\r\n\r\n### 系统性鉴别诊断步骤\r\n\r\n1. **确定主要问题**\r\n   - 明确主诉\r\n   - 识别关键症状\r\n\r\n2. **生成诊断假设**\r\n   - 常见病优先\r\n   - 不遗漏危重病\r\n   - 考虑年龄、性别、基础疾病\r\n\r\n3. **收集鉴别信息**\r\n   - 针对性病史询问\r\n   - 针对性体格检查\r\n   - 必要的辅助检查\r\n\r\n4. **评估每个诊断**\r\n   - 支持证据\r\n   - 反对证据\r\n   - 可能性评估\r\n\r\n5. **得出结论**\r\n   - 最可能诊断\r\n   - 需排除诊断\r\n   - 进一步检查建议\r\n\r\n### 鉴别诊断表格格式\r\n| 诊断 | 支持证据 | 反对证据 | 可能性 |\r\n|------|----------|----------|--------|\r\n| ... | ... | ... | 高/中/低 |\r\n\"\"\"\r\n    \r\n    def _get_treatment_prompt(self) -> str:\r\n        \"\"\"治疗建议提示词\"\"\"\r\n        return \"\"\"## 治疗建议规范\r\n\r\n### 治疗建议原则\r\n1. 基于循证医学证据\r\n2. 考虑患者个体情况\r\n3. 权衡利弊风险\r\n4. 尊重患者意愿\r\n\r\n### 建议格式\r\n1. **一般治疗**\r\n   - 休息、饮食、护理\r\n\r\n2. **药物治疗**\r\n   - 药物名称（通用名）\r\n   - 用法用量范围\r\n   - 疗程建议\r\n   - 注意事项\r\n\r\n3. **其他治疗**\r\n   - 手术/介入指征\r\n   - 康复治疗\r\n   - 中医治疗\r\n\r\n4. **随访建议**\r\n   - 复查时间\r\n   - 复查项目\r\n   - 注意事项\r\n\r\n### 安全提醒\r\n- 具体剂量请遵医嘱\r\n- 注意药物相互作用\r\n- 关注不良反应\r\n- 特殊人群调整\r\n\"\"\"\r\n    \r\n    def _get_full_assistant_prompt(self) -> str:\r\n        \"\"\"完整医疗助手提示词\"\"\"\r\n        return \"\"\"# 医疗诊断助手\r\n\r\n你是一位专业的医疗诊断助手，具备以下能力和规范：\r\n\r\n## 一、诊断方法：诊断推理链 (CoD)\r\n\r\n请按以下步骤进行诊断推理：\r\n\r\n【步骤1 - 症状分析】\r\n分析患者的主诉和症状，识别关键临床表现。\r\n\r\n【步骤2 - 病史关联】\r\n结合既往病史，分析与当前症状的关联性。\r\n\r\n【步骤3 - 鉴别诊断】\r\n列出可能的诊断，并说明支持和反对的证据。\r\n\r\n【步骤4 - 检查建议】\r\n建议进一步的检查以明确诊断。\r\n\r\n【步骤5 - 诊断结论】\r\n给出最可能的诊断，并标注置信度。\r\n\r\n## 二、置信度标注\r\n\r\n在诊断结论中标注置信度：\r\n- **HIGH** (>85%): 证据充分，诊断明确\r\n- **MEDIUM** (60-85%): 有一定依据，需进一步确认\r\n- **LOW** (<60%): 信息不足，仅供参考\r\n- **UNCERTAIN**: 无法做出可靠判断\r\n\r\n格式：[置信度: HIGH/MEDIUM/LOW/UNCERTAIN]\r\n\r\n## 三、安全提醒\r\n\r\n⚠️ 重要声明：\r\n1. 本AI仅提供辅助参考，不能替代专业医生的诊断\r\n2. 最终诊断和治疗决策应由执业医师做出\r\n3. 紧急情况请立即就医或拨打急救电话\r\n4. AI诊断建议仅供参考，使用者应自行承担相应风险\r\n\r\n## 四、回答规范\r\n\r\n1. 使用专业但易懂的语言\r\n2. 结构清晰，逻辑严谨\r\n3. 明确标注不确定性\r\n4. 必要时建议就医或会诊\r\n\"\"\"\r\n    \r\n    def get_prompt(self, prompt_id: str) -> Optional[Dict]:\r\n        \"\"\"\r\n        获取指定提示词\r\n        \r\n        Args:\r\n            prompt_id: 提示词ID\r\n            \r\n        Returns:\r\n            提示词字典或None\r\n        \"\"\"\r\n        return self._prompts.get(prompt_id)\r\n    \r\n    def get_prompt_text(self, prompt_id: str) -> Optional[str]:\r\n        \"\"\"\r\n        获取提示词文本\r\n        \r\n        Args:\r\n            prompt_id: 提示词ID\r\n            \r\n        Returns:\r\n            提示词文本或None\r\n        \"\"\"\r\n        prompt = self._prompts.get(prompt_id)\r\n        return prompt[\"prompt\"] if prompt else None\r\n    \r\n    def list_prompts(\r\n        self, \r\n        category: Optional[PromptCategory] = None\r\n    ) -> List[Dict]:\r\n        \"\"\"\r\n        列出所有提示词\r\n        \r\n        Args:\r\n            category: 可选，按分类筛选\r\n            \r\n        Returns:\r\n            提示词列表\r\n        \"\"\"\r\n        prompts = list(self._prompts.values())\r\n        if category:\r\n            prompts = [p for p in prompts if p[\"category\"] == category]\r\n        return prompts\r\n    \r\n    def list_prompt_ids(self) -> List[str]:\r\n        \"\"\"获取所有提示词ID\"\"\"\r\n        return list(self._prompts.keys())\r\n    \r\n    def combine_prompts(self, prompt_ids: List[str]) -> str:\r\n        \"\"\"\r\n        组合多个提示词\r\n        \r\n        Args:\r\n            prompt_ids: 提示词ID列表\r\n            \r\n        Returns:\r\n            组合后的提示词文本\r\n        \"\"\"\r\n        parts = []\r\n        for pid in prompt_ids:\r\n            prompt = self.get_prompt_text(pid)\r\n            if prompt:\r\n                parts.append(prompt)\r\n        return \"\\n\\n---\\n\\n\".join(parts)\r\n    \r\n    def add_custom_prompt(\r\n        self,\r\n        prompt_id: str,\r\n        name: str,\r\n        prompt_text: str,\r\n        category: PromptCategory = PromptCategory.GENERAL,\r\n        description: str = \"\",\r\n        tags: Optional[List[str]] = None,\r\n    ) -> bool:\r\n        \"\"\"\r\n        添加自定义提示词\r\n        \r\n        Args:\r\n            prompt_id: 提示词ID\r\n            name: 名称\r\n            prompt_text: 提示词文本\r\n            category: 分类\r\n            description: 描述\r\n            tags: 标签\r\n            \r\n        Returns:\r\n            是否添加成功\r\n        \"\"\"\r\n        if prompt_id in self._prompts:\r\n            return False\r\n        \r\n        self._prompts[prompt_id] = {\r\n            \"id\": prompt_id,\r\n            \"name\": name,\r\n            \"category\": category,\r\n            \"description\": description,\r\n            \"prompt\": prompt_text,\r\n            \"variables\": [],\r\n            \"tags\": tags or [],\r\n        }\r\n        return True\r\n    \r\n    def get_recommended_prompt(self) -> str:\r\n        \"\"\"获取推荐的完整提示词\"\"\"\r\n        return self.get_prompt_text(\"medical_assistant_full\")\r\n"
  },
  {
    "path": "pathology-ai/code-changes/medical_extension/test_medical.py",
    "content": "\"\"\"\r\n医疗模块测试脚本\r\nTest script for Medical Module\r\n\"\"\"\r\n\r\nimport sys\r\nimport os\r\n\r\n# 添加路径\r\nsys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))\r\n\r\nfrom medical import (\r\n    ChainOfDiagnosis,\r\n    MedicalAgentTemplates,\r\n    ConfidenceEvaluator,\r\n    MedicalPromptLibrary,\r\n)\r\n\r\n\r\ndef test_chain_of_diagnosis():\r\n    \"\"\"测试诊断推理链\"\"\"\r\n    print(\"=\" * 50)\r\n    print(\"测试: Chain-of-Diagnosis (CoD)\")\r\n    print(\"=\" * 50)\r\n    \r\n    cod = ChainOfDiagnosis()\r\n    \r\n    # 测试案例: HIV患者肺部感染\r\n    result = cod.analyze(\r\n        symptoms=\"干咳、呼吸困难、发热\",\r\n        lab_results=\"CD4计数: 150, LDH升高\",\r\n        medical_history=\"HIV阳性5年，未规律服药\",\r\n    )\r\n    \r\n    print(f\"\\n主要诊断: {result.primary_diagnosis}\")\r\n    print(f\"置信度: {result.confidence_level.value} ({result.confidence_score*100:.1f}%)\")\r\n    print(f\"鉴别诊断: {', '.join(result.differential_diagnoses)}\")\r\n    print(f\"推理步骤数: {len(result.reasoning_chain)}\")\r\n    \r\n    print(\"\\n[OK] CoD测试通过\")\r\n    return True\r\n\r\n\r\ndef test_agent_templates():\r\n    \"\"\"测试智能体模板\"\"\"\r\n    print(\"\\n\" + \"=\" * 50)\r\n    print(\"测试: Medical Agent Templates\")\r\n    print(\"=\" * 50)\r\n    \r\n    templates = MedicalAgentTemplates()\r\n    \r\n    # 列出所有模板\r\n    all_templates = templates.list_templates()\r\n    print(f\"\\n可用模板数量: {len(all_templates)}\")\r\n    \r\n    for t in all_templates:\r\n        print(f\"  - {t.name} ({t.template_id})\")\r\n    \r\n    # 获取病理模板\r\n    pathology = templates.get_template(\"pathology_diagnosis\")\r\n    if pathology:\r\n        print(f\"\\n病理模板工具: {', '.join(pathology.suggested_tools)}\")\r\n    \r\n    print(\"\\n[OK] 模板测试通过\")\r\n    return True\r\n\r\n\r\ndef test_confidence_evaluator():\r\n    \"\"\"测试置信度评估\"\"\"\r\n    print(\"\\n\" + \"=\" * 50)\r\n    print(\"测试: Confidence Evaluator\")\r\n    print(\"=\" * 50)\r\n    \r\n    evaluator = ConfidenceEvaluator()\r\n    \r\n    report = evaluator.evaluate(\r\n        diagnosis=\"肺孢子虫肺炎 (PCP)\",\r\n        symptoms=[\"干咳\", \"呼吸困难\", \"发热\"],\r\n        lab_results={\"CD4\": 150, \"LDH\": \"升高\"},\r\n        evidence=[\"HIV阳性\", \"CD4<200\", \"典型症状\"],\r\n    )\r\n    \r\n    print(f\"\\n总体置信度: {report.confidence_level} ({report.overall_score*100:.1f}%)\")\r\n    print(f\"证据充分度: {report.evidence_score*100:.0f}%\")\r\n    print(f\"一致性: {report.consistency_score*100:.0f}%\")\r\n    print(f\"风险等级: {report.risk_level.value}\")\r\n    \r\n    print(\"\\n[OK] 置信度评估测试通过\")\r\n    return True\r\n\r\n\r\ndef test_prompt_library():\r\n    \"\"\"测试提示词库\"\"\"\r\n    print(\"\\n\" + \"=\" * 50)\r\n    print(\"测试: Medical Prompt Library\")\r\n    print(\"=\" * 50)\r\n    \r\n    library = MedicalPromptLibrary()\r\n    \r\n    # 列出所有提示词\r\n    all_prompts = library.list_prompts()\r\n    print(f\"\\n可用提示词数量: {len(all_prompts)}\")\r\n    \r\n    for p in all_prompts:\r\n        print(f\"  - {p['name']} ({p['id']})\")\r\n    \r\n    # 获取推荐提示词\r\n    recommended = library.get_recommended_prompt()\r\n    print(f\"\\n推荐提示词长度: {len(recommended)} 字符\")\r\n    \r\n    print(\"\\n[OK] 提示词库测试通过\")\r\n    return True\r\n\r\n\r\ndef main():\r\n    \"\"\"运行所有测试\"\"\"\r\n    print(\"\\n\" + \"#\" * 60)\r\n    print(\"# Nexent 医疗模块测试\")\r\n    print(\"#\" * 60)\r\n    \r\n    tests = [\r\n        test_chain_of_diagnosis,\r\n        test_agent_templates,\r\n        test_confidence_evaluator,\r\n        test_prompt_library,\r\n    ]\r\n    \r\n    passed = 0\r\n    failed = 0\r\n    \r\n    for test in tests:\r\n        try:\r\n            if test():\r\n                passed += 1\r\n            else:\r\n                failed += 1\r\n        except Exception as e:\r\n            print(f\"\\n[FAIL] {test.__name__}: {e}\")\r\n            failed += 1\r\n    \r\n    print(\"\\n\" + \"#\" * 60)\r\n    print(f\"# 测试结果: {passed} 通过, {failed} 失败\")\r\n    print(\"#\" * 60)\r\n    \r\n    return failed == 0\r\n\r\n\r\nif __name__ == \"__main__\":\r\n    success = main()\r\n    sys.exit(0 if success else 1)\r\n"
  },
  {
    "path": "pathology-ai/custom-tools.md",
    "content": "# 🔧 自定义工具说明\r\n\r\n本文档详细介绍病理学AI助手中新增的自定义MCP工具。\r\n\r\n## 工具列表（共15个）\r\n\r\n### 医疗诊断工具\r\n\r\n| 工具名称 | 功能简述 |\r\n|----------|----------|\r\n| chain_of_diagnosis | 5步结构化诊断推理（CoD） |\r\n| evaluate_diagnosis_confidence | 置信度与风险评估 |\r\n| search_pathology_images | 搜索本地病理图片 |\r\n| generate_medical_guide | 生成就医指南 |\r\n\r\n### 诊断模拟游戏\r\n\r\n| 工具名称 | 功能简述 |\r\n|----------|----------|\r\n| start_diagnosis_game | 启动诊断模拟游戏 |\r\n| diagnosis_action | 执行诊断游戏动作（问诊/体检/检查/诊断） |\r\n\r\n### 医学可视化工具\r\n\r\n| 工具名称 | 功能简述 |\r\n|----------|----------|\r\n| generate_knowledge_graph | 生成医学知识图谱（Mermaid） |\r\n| generate_diagnosis_flow | 生成诊断流程图 |\r\n| generate_medical_chart | 生成统计图表（柱状图/折线图/饼图） |\r\n| generate_radar_chart | 生成雷达图（多维度健康指标对比） |\r\n| generate_timeline | 生成时间线图（疾病发展/治疗计划） |\r\n| generate_gantt_chart | 生成甘特图（治疗疗程安排） |\r\n| generate_quadrant_chart | 生成象限图（风险评估/优先级分析） |\r\n| generate_state_diagram | 生成状态转换图（疾病状态变化） |\r\n| generate_sankey_diagram | 生成桑基图（流量和转换关系） |\r\n\r\n---\r\n\r\n## 1. chain_of_diagnosis\r\n\r\n### 功能\r\n实现 Chain-of-Diagnosis (CoD) 诊断推理链，将复杂的诊断过程分解为5个结构化步骤。\r\n\r\n### 参数\r\n\r\n| 参数 | 类型 | 必填 | 说明 |\r\n|------|------|------|------|\r\n| symptoms | str | 是 | 患者症状描述 |\r\n| medical_history | str | 否 | 既往病史 |\r\n| lab_results | str | 否 | 实验室检查结果 |\r\n| imaging_findings | str | 否 | 影像学发现 |\r\n\r\n### 输出格式\r\n\r\n```markdown\r\n## 🔬 Chain-of-Diagnosis 诊断推理\r\n\r\n### Step 1: 症状分析\r\n- 主要症状识别\r\n- 症状特征分析\r\n\r\n### Step 2: 病史关联\r\n- 相关病史\r\n- 风险因素\r\n\r\n### Step 3: 鉴别诊断\r\n- 可能诊断列表\r\n- 排除诊断\r\n\r\n### Step 4: 检查建议\r\n- 推荐检查项目\r\n- 优先级排序\r\n\r\n### Step 5: 初步结论\r\n- 最可能诊断\r\n- 置信度评估\r\n```\r\n\r\n### 示例调用\r\n\r\n```python\r\nresult = chain_of_diagnosis(\r\n    symptoms=\"持续发热2周，体重下降，淋巴结肿大\",\r\n    medical_history=\"无特殊病史\",\r\n    lab_results=\"白细胞减少\"\r\n)\r\n```\r\n\r\n---\r\n\r\n## 2. evaluate_diagnosis_confidence\r\n\r\n### 功能\r\n评估医疗诊断或回答的置信度，包括证据充分度、一致性、完整性等维度。\r\n\r\n### 参数\r\n\r\n| 参数 | 类型 | 必填 | 说明 |\r\n|------|------|------|------|\r\n| diagnosis | str | 是 | 诊断结果 |\r\n| symptoms | str | 否 | 症状列表，用逗号分隔 |\r\n| evidence | str | 否 | 支持证据，用逗号分隔 |\r\n| lab_results | str | 否 | 实验室结果 |\r\n\r\n### 输出格式\r\n\r\n```markdown\r\n## 📊 置信度评估报告\r\n\r\n### 总体置信度: HIGH/MEDIUM/LOW/UNCERTAIN\r\n\r\n### 评估维度\r\n| 维度 | 得分 | 说明 |\r\n|------|------|------|\r\n| 证据充分度 | 85% | ... |\r\n| 一致性 | 90% | ... |\r\n| 完整性 | 80% | ... |\r\n| 确定性 | 75% | ... |\r\n\r\n### 风险等级: LOW/MEDIUM/HIGH/CRITICAL\r\n\r\n### 建议\r\n- ...\r\n```\r\n\r\n### 置信度级别\r\n\r\n| 级别 | 分数范围 | 说明 |\r\n|------|----------|------|\r\n| HIGH | ≥80% | 证据充分，可信度高 |\r\n| MEDIUM | 60-79% | 有一定依据，需进一步确认 |\r\n| LOW | 40-59% | 证据不足，建议谨慎 |\r\n| UNCERTAIN | <40% | 高度不确定，强烈建议就医 |\r\n\r\n---\r\n\r\n## 3. start_diagnosis_game\r\n\r\n### 功能\r\n启动交互式诊断模拟游戏，用户扮演医生进行问诊练习。\r\n\r\n### 参数\r\n\r\n| 参数 | 类型 | 必填 | 说明 |\r\n|------|------|------|------|\r\n| difficulty | int | 否 | 难度等级 (1=初级, 2=中级, 3=高级) |\r\n| case_type | str | 否 | 病例类型 (hiv_basic, hiv_opportunistic, random) |\r\n\r\n### 输出格式\r\n\r\n```markdown\r\n## 🏥 诊断模拟器 - 病例开始\r\n\r\n### 👤 患者信息\r\n**男性，32岁，程序员**\r\n\r\n### 💬 主诉\r\n> \"医生，我最近一个月反复发热...\"\r\n\r\n### 📋 当前阶段：问诊 (第1步/共4步)\r\n\r\n**请选择您要询问的内容：**\r\n\r\n[btn:询问发热详情] [btn:询问其他症状] [btn:询问既往病史]\r\n[btn:询问接触史] [btn:询问用药情况] [btn:进入体格检查]\r\n```\r\n\r\n### 游戏流程\r\n\r\n```\r\n问诊 → 体格检查 → 辅助检查 → 给出诊断\r\n```\r\n\r\n---\r\n\r\n## 4. diagnosis_action\r\n\r\n### 功能\r\n在诊断模拟游戏中执行具体动作。\r\n\r\n### 参数\r\n\r\n| 参数 | 类型 | 必填 | 说明 |\r\n|------|------|------|------|\r\n| case_id | str | 是 | 病例ID |\r\n| action_type | str | 是 | 动作类型 (ask/exam/test/diagnose) |\r\n| action_detail | str | 是 | 具体动作内容 |\r\n\r\n### 动作类型\r\n\r\n| 类型 | 说明 | 示例 |\r\n|------|------|------|\r\n| ask | 问诊 | 询问发热情况 |\r\n| exam | 体格检查 | 检查淋巴结 |\r\n| test | 辅助检查 | HIV抗体初筛 |\r\n| diagnose | 给出诊断 | 给出诊断结论 |\r\n\r\n---\r\n\r\n## 5. search_pathology_images\r\n\r\n### 功能\r\n搜索本地病理图片服务器中的图片。\r\n\r\n### 参数\r\n\r\n| 参数 | 类型 | 必填 | 说明 |\r\n|------|------|------|------|\r\n| keyword | str | 是 | 搜索关键词 |\r\n| count | int | 否 | 返回数量（默认6，最大9） |\r\n\r\n### 支持的关键词类别\r\n\r\n- HIV/AIDS/免疫 - 免疫病理学图片\r\n- 感染 - 感染性疾病图片\r\n- 心血管 - 心血管病理图片\r\n- 肺/呼吸 - 肺部病理图片\r\n- 肿瘤/癌 - 肿瘤病理图片\r\n- 神经/脑 - 神经系统病理图片\r\n- 胃肠/消化 - 消化系统病理图片\r\n\r\n### 输出格式\r\n\r\n```markdown\r\n## 🔍 病理图片搜索结果\r\n\r\n找到 5 张相关图片：\r\n\r\n| 序号 | 分类 | 文件名 | URL |\r\n|------|------|--------|-----|\r\n| 1 | Immunopathology | hiv_lymph_node.jpg | http://... |\r\n```\r\n\r\n---\r\n\r\n## 6. generate_medical_guide\r\n\r\n### 功能\r\n生成结构化的就医指南，包括科室推荐、检查项目、注意事项等。\r\n\r\n### 参数\r\n\r\n| 参数 | 类型 | 必填 | 说明 |\r\n|------|------|------|------|\r\n| condition | str | 是 | 病情描述 |\r\n| urgency | str | 否 | 紧急程度 (emergency/urgent/routine)，默认urgent |\r\n| patient_info | str | 否 | 患者关键信息 |\r\n\r\n### 输出格式\r\n\r\n```markdown\r\n## 🏥 就医指南\r\n\r\n### 推荐科室\r\n| 优先级 | 科室 | 说明 |\r\n|--------|------|------|\r\n| 1 | 感染科 | ... |\r\n\r\n### 建议检查\r\n| 检查项目 | 目的 | 费用参考 |\r\n|----------|------|----------|\r\n| HIV抗体 | 初筛 | ¥50-100 |\r\n\r\n### 就诊流程\r\n[Mermaid流程图]\r\n\r\n### 注意事项\r\n- ...\r\n```\r\n\r\n---\r\n\r\n---\r\n\r\n## 7-15. 医学可视化工具\r\n\r\n以下工具均输出 **Mermaid 格式**，可在前端直接渲染。\r\n\r\n### 7. generate_knowledge_graph\r\n生成医学知识图谱，展示疾病、症状、治疗的关系。\r\n\r\n| 参数 | 说明 |\r\n|------|------|\r\n| topic | 主题（如\"HIV感染\"） |\r\n| nodes | 节点列表，用\\|分隔 |\r\n| relations | 关系列表，用\\|分隔 |\r\n\r\n### 8. generate_diagnosis_flow\r\n生成诊断流程图，展示诊断步骤和决策点。\r\n\r\n| 参数 | 说明 |\r\n|------|------|\r\n| disease | 疾病名称 |\r\n| steps | 步骤列表，用\\|分隔 |\r\n| decisions | 决策点列表 |\r\n\r\n### 9. generate_medical_chart\r\n生成统计图表（柱状图/折线图/饼图）。\r\n\r\n| 参数 | 说明 |\r\n|------|------|\r\n| chart_type | 图表类型 (bar/line/pie) |\r\n| title | 标题 |\r\n| data | 数据，格式\"标签:值\\|标签:值\" |\r\n\r\n### 10. generate_radar_chart\r\n生成雷达图，用于多维度健康指标对比。\r\n\r\n| 参数 | 说明 |\r\n|------|------|\r\n| title | 标题 |\r\n| metrics | 指标列表 |\r\n| values | 数值列表 |\r\n\r\n### 11. generate_timeline\r\n生成时间线图，展示疾病发展或治疗计划。\r\n\r\n| 参数 | 说明 |\r\n|------|------|\r\n| title | 标题 |\r\n| events | 事件列表，格式\"时间:描述\\|时间:描述\" |\r\n\r\n### 12. generate_gantt_chart\r\n生成甘特图，用于治疗疗程安排。\r\n\r\n| 参数 | 说明 |\r\n|------|------|\r\n| title | 标题 |\r\n| tasks | 任务列表 |\r\n\r\n### 13. generate_quadrant_chart\r\n生成象限图，用于风险评估和优先级分析。\r\n\r\n| 参数 | 说明 |\r\n|------|------|\r\n| title | 标题 |\r\n| x_axis | X轴标签 |\r\n| y_axis | Y轴标签 |\r\n| items | 项目列表 |\r\n\r\n### 14. generate_state_diagram\r\n生成状态转换图，展示疾病状态变化。\r\n\r\n| 参数 | 说明 |\r\n|------|------|\r\n| title | 标题 |\r\n| states | 状态列表 |\r\n| transitions | 转换列表 |\r\n\r\n### 15. generate_sankey_diagram\r\n生成桑基图，展示流量和转换关系。\r\n\r\n| 参数 | 说明 |\r\n|------|------|\r\n| title | 标题 |\r\n| flows | 流量列表 |\r\n\r\n---\r\n\r\n## 工具文件位置\r\n\r\n所有自定义工具定义在：\r\n\r\n```\r\nbackend/tool_collection/mcp/local_mcp_service.py\r\n```\r\n\r\n使用 FastMCP 框架注册，通过 `@local_mcp_service.tool()` 装饰器定义。\r\n"
  },
  {
    "path": "pathology-ai/frontend-improvements.md",
    "content": "# 🎨 前端改进说明\r\n\r\n本文档详细介绍病理学AI助手中的前端优化和新增组件。\r\n\r\n## 新增组件\r\n\r\n### 1. PathologyImageGallery.tsx\r\n\r\n**位置**: `frontend/components/medical-visualization/PathologyImageGallery.tsx`\r\n\r\n**功能**: 病理图片画廊组件，用于展示和预览病理图片\r\n\r\n**特性**:\r\n- 网格布局展示图片\r\n- 点击图片放大预览\r\n- 支持图片分类标签\r\n- 响应式设计\r\n\r\n### 2. DiagnosisConfidenceCard.tsx\r\n\r\n**位置**: `frontend/components/medical-visualization/DiagnosisConfidenceCard.tsx`\r\n\r\n**功能**: 置信度评估卡片组件\r\n\r\n**特性**:\r\n- 显示总体置信度分数\r\n- 风险等级指示器 (LOW/MEDIUM/HIGH/CRITICAL)\r\n- 评估维度雷达图\r\n- 建议和警告显示\r\n\r\n### 3. SourceTag.tsx\r\n\r\n**位置**: `frontend/components/medical-visualization/SourceTag.tsx`\r\n\r\n**功能**: 来源标签组件，用于标注信息来源\r\n\r\n**特性**:\r\n- [内部] 标签 - 蓝色，表示来自本地知识库\r\n- [外部] 标签 - 绿色，表示来自互联网搜索\r\n- 悬停显示详细来源信息\r\n\r\n---\r\n\r\n## 修改的组件\r\n\r\n### 1. MedicalVisualizationPanel.tsx\r\n\r\n**位置**: `frontend/components/medical-visualization/MedicalVisualizationPanel.tsx`\r\n\r\n**修改内容**:\r\n- 移除HIV/AIDS硬编码文字\r\n- 改为通用病理学描述\r\n- 支持动态标题和描述\r\n\r\n**修改行**: 54-56, 97\r\n\r\n### 2. markdownRenderer.tsx\r\n\r\n**位置**: `frontend/components/ui/markdownRenderer.tsx`\r\n\r\n**修改内容**:\r\n- 新增 `ClickableOption` 组件\r\n- 解析 `[btn:xxx]` 格式为可点击按钮\r\n- 支持诊断游戏交互\r\n\r\n**新增代码位置**: 378-410行 (ClickableOption组件), 975-1045行 (processText函数)\r\n\r\n### 3. chatLeftSidebar.tsx\r\n\r\n**位置**: `frontend/app/[locale]/chat/components/chatLeftSidebar.tsx`\r\n\r\n**修改内容**:\r\n- 新增\"清空所有对话\"按钮\r\n- 新增删除确认对话框\r\n- 新增 `handleDeleteAllClick` 和 `confirmDeleteAll` 函数\r\n\r\n**修改行**: 10, 136-138, 209-227, 463-475, 507-541\r\n\r\n### 4. conversationService.ts\r\n\r\n**位置**: `frontend/services/conversationService.ts`\r\n\r\n**修改内容**:\r\n- 新增 `deleteAll` 方法用于批量删除对话\r\n\r\n**修改行**: 122-130\r\n\r\n### 5. index.ts (医学可视化组件导出)\r\n\r\n**位置**: `frontend/components/medical-visualization/index.ts`\r\n\r\n**修改内容**:\r\n- 添加新组件的导出语句\r\n\r\n---\r\n\r\n## 组件使用示例\r\n\r\n### PathologyImageGallery\r\n\r\n```tsx\r\nimport { PathologyImageGallery } from '@/components/medical-visualization';\r\n\r\n<PathologyImageGallery \r\n  images={[\r\n    { url: \"http://...\", title: \"HIV淋巴结\", category: \"Immunopathology\" }\r\n  ]}\r\n/>\r\n```\r\n\r\n### DiagnosisConfidenceCard\r\n\r\n```tsx\r\nimport { DiagnosisConfidenceCard } from '@/components/medical-visualization';\r\n\r\n<DiagnosisConfidenceCard \r\n  confidence={0.85}\r\n  riskLevel=\"MEDIUM\"\r\n  dimensions={[\r\n    { name: \"证据充分度\", score: 0.9 },\r\n    { name: \"一致性\", score: 0.8 }\r\n  ]}\r\n/>\r\n```\r\n\r\n### SourceTag\r\n\r\n```tsx\r\nimport { SourceTag } from '@/components/medical-visualization';\r\n\r\n<SourceTag type=\"internal\" /> // 显示 [内部]\r\n<SourceTag type=\"external\" /> // 显示 [外部]\r\n```\r\n\r\n### 可点击按钮 (Markdown中)\r\n\r\n在AI回复中使用 `[btn:选项文字]` 格式，会自动渲染为可点击按钮：\r\n\r\n```markdown\r\n请选择下一步操作：\r\n\r\n[btn:询问发热情况] [btn:询问其他症状] [btn:进入体格检查]\r\n```\r\n\r\n---\r\n\r\n## 样式说明\r\n\r\n所有新增组件使用：\r\n- **TailwindCSS** 进行样式定义\r\n- **Lucide React** 图标库\r\n- **shadcn/ui** 基础组件\r\n\r\n遵循 Nexent 现有设计规范，保持视觉一致性。\r\n"
  },
  {
    "path": "sdk/nexent/__init__.py",
    "content": "from .core import *\nfrom .data_process import *\nfrom .datamate import *\nfrom .memory import *\nfrom .storage import *\nfrom .vector_database import *\nfrom .container import *\n\n\n__all__ = [\"core\", \"data_process\", \"memory\", \"storage\", \"vector_database\", \"container\", \"datamate\"]\n"
  },
  {
    "path": "sdk/nexent/container/__init__.py",
    "content": "\"\"\"\nContainer management module for Nexent SDK\n\nProvides standardized interfaces for container operations including\nstart, stop, list, and log retrieval.\n\"\"\"\n\nfrom .container_client_base import ContainerClient, ContainerConfig\nfrom .container_client_factory import create_container_client_from_config\nfrom .docker_config import DockerContainerConfig\nfrom .docker_client import DockerContainerClient, ContainerError, ContainerConnectionError\n\n__all__ = [\n    \"ContainerClient\",\n    \"ContainerConfig\",\n    \"DockerContainerConfig\",\n    \"create_container_client_from_config\",\n    \"DockerContainerClient\",\n    \"ContainerError\",\n    \"ContainerConnectionError\",\n]\n\n"
  },
  {
    "path": "sdk/nexent/container/container_client_base.py",
    "content": "\"\"\"\nAbstract base classes for container clients and configurations\n\nDefines the common interfaces that all container implementations must follow.\n\nThis design allows for multiple container backends:\n- Docker: Direct Docker daemon access (current implementation)\n- Kubernetes: K8s Pod/Deployment management (future implementation)\n\nTo implement a new container backend:\n1. Create a config class inheriting from ContainerConfig\n2. Create a client class inheriting from ContainerClient\n3. Implement all abstract methods\n4. Register in container_client_factory.py\n\"\"\"\n\nfrom abc import ABC, abstractmethod\nfrom typing import Any, Dict, List, Optional\n\n\nclass ContainerConfig(ABC):\n    \"\"\"Abstract container configuration base class\"\"\"\n\n    @property\n    @abstractmethod\n    def container_type(self) -> str:\n        \"\"\"Get container type\"\"\"\n        pass\n\n    @abstractmethod\n    def validate(self) -> None:\n        \"\"\"\n        Validate configuration parameters\n\n        Raises:\n            ValueError: If required parameters are missing or invalid\n        \"\"\"\n        pass\n\n\nclass ContainerClient(ABC):\n    \"\"\"\n    Abstract base class for container clients\n\n    All container implementations must inherit from this class and implement\n    all abstract methods.\n    \"\"\"\n\n    @abstractmethod\n    async def start_container(\n        self,\n        service_name: str,\n        tenant_id: str,\n        user_id: str,\n        full_command: Optional[List[str]] = None,\n        env_vars: Optional[Dict[str, str]] = None,\n        host_port: Optional[int] = None,\n        image: Optional[str] = None,\n    ) -> Dict[str, Any]:\n        \"\"\"\n        Start a container and return access information\n\n        This method should be implemented to start a container/pod based on the\n        backend type. For Docker, this starts a container. For Kubernetes, this\n        would create a Pod or Deployment.\n\n        Args:\n            service_name: Name of the service\n            tenant_id: Tenant ID for isolation (used for namespace/labeling)\n            user_id: User ID for isolation (used for labeling/naming)\n            full_command: Optional complete command list to run inside container (must start an HTTP endpoint).\n                         If None, uses the image's default CMD/ENTRYPOINT.\n            env_vars: Optional environment variables\n            host_port: Optional host port to bind (if None, auto assign)\n            image: Optional image override\n\n        Returns:\n            Dictionary with container_id (or pod_id for k8s), service_url,\n            host_port (or service port for k8s), and status\n\n        Raises:\n            ContainerError: If container startup fails\n        \"\"\"\n        pass\n\n    @abstractmethod\n    async def stop_container(self, container_id: str) -> bool:\n        \"\"\"\n        Stop a container\n\n        Args:\n            container_id: Container ID or name\n\n        Returns:\n            True if container was stopped successfully, False if not found\n\n        Raises:\n            ContainerError: If container stop fails\n        \"\"\"\n        pass\n\n    @abstractmethod\n    async def remove_container(self, container_id: str) -> bool:\n        \"\"\"\n        Remove a container\n\n        Args:\n            container_id: Container ID or name\n\n        Returns:\n            True if container was removed successfully, False if not found\n\n        Raises:\n            ContainerError: If container removal fails\n        \"\"\"\n        pass\n\n    @abstractmethod\n    def list_containers(\n        self, tenant_id: Optional[str] = None, service_name: Optional[str] = None\n    ) -> List[Dict[str, Any]]:\n        \"\"\"\n        List all containers, optionally filtered by tenant or service\n\n        For Docker: Lists containers with matching labels\n        For Kubernetes: Lists pods/deployments in namespace with matching labels\n\n        Args:\n            tenant_id: Optional tenant ID to filter containers\n            service_name: Optional service name to filter containers\n\n        Returns:\n            List of container information dictionaries with keys:\n            - container_id (or pod_id for k8s)\n            - name\n            - status\n            - service_url (optional)\n            - host_port (optional)\n        \"\"\"\n        pass\n\n    @abstractmethod\n    def get_container_logs(self, container_id: str, tail: int = 100) -> str:\n        \"\"\"\n        Get container logs\n\n        Args:\n            container_id: Container ID or name\n            tail: Number of log lines to retrieve\n\n        Returns:\n            Container logs as string\n        \"\"\"\n        pass\n\n    @abstractmethod\n    def get_container_status(self, container_id: str) -> Optional[Dict[str, Any]]:\n        \"\"\"\n        Get container status information\n\n        Args:\n            container_id: Container ID or name\n\n        Returns:\n            Dictionary with container status information, or None if not found\n        \"\"\"\n        pass\n\n"
  },
  {
    "path": "sdk/nexent/container/container_client_factory.py",
    "content": "\"\"\"\nFactory for creating container clients from configuration\n\nThis factory supports multiple container backends (Docker, Kubernetes, etc.)\nthrough a registration-based system. To add a new backend:\n\n1. Create a config class inheriting from ContainerConfig\n2. Create a client class inheriting from ContainerClient\n3. Register them using register_container_client()\n\"\"\"\n\nfrom typing import Dict, Optional, Tuple, Type\n\nfrom .container_client_base import ContainerClient, ContainerConfig\nfrom .docker_client import DockerContainerClient\nfrom .docker_config import DockerContainerConfig\n\n# Registry mapping container_type to (config_class, client_class)\n_CONTAINER_CLIENT_REGISTRY: Dict[str, Tuple[Type[ContainerConfig], Type[ContainerClient]]] = {}\n\n\ndef register_container_client(\n    config_class: Type[ContainerConfig],\n    client_class: Type[ContainerClient],\n) -> None:\n    \"\"\"\n    Register a container client implementation\n\n    Args:\n        config_class: Configuration class for the container type\n        client_class: Client class that implements ContainerClient\n\n    Example:\n        # For future Kubernetes implementation:\n        register_container_client(KubernetesContainerConfig, KubernetesContainerClient)\n    \"\"\"\n    container_type = config_class().container_type\n    _CONTAINER_CLIENT_REGISTRY[container_type] = (config_class, client_class)\n\n\ndef create_container_client_from_config(\n    config: Optional[ContainerConfig] = None,\n) -> ContainerClient:\n    \"\"\"\n    Create container client from configuration\n\n    Args:\n        config: Container configuration. If None, creates default Docker client\n\n    Returns:\n        Container client instance\n\n    Raises:\n        ValueError: If configuration type is not supported\n\n    Example:\n        # Docker\n        docker_config = DockerContainerConfig()\n        client = create_container_client_from_config(docker_config)\n\n        # Future Kubernetes support:\n        # k8s_config = KubernetesContainerConfig(namespace=\"default\")\n        # client = create_container_client_from_config(k8s_config)\n    \"\"\"\n    if config is None:\n        # Default to Docker\n        config = DockerContainerConfig()\n\n    container_type = config.container_type\n\n    if container_type not in _CONTAINER_CLIENT_REGISTRY:\n        raise ValueError(\n            f\"Unsupported container type: {container_type}. \"\n            f\"Supported types: {list(_CONTAINER_CLIENT_REGISTRY.keys())}\"\n        )\n\n    _, client_class = _CONTAINER_CLIENT_REGISTRY[container_type]\n    return client_class(config)\n\n\n# Register Docker implementation\nregister_container_client(DockerContainerConfig, DockerContainerClient)\n\n"
  },
  {
    "path": "sdk/nexent/container/docker_client.py",
    "content": "\"\"\"\nDocker container client implementation\n\"\"\"\n\nimport asyncio\nimport logging\nimport socket\nfrom pathlib import Path\nfrom typing import Dict, List, Optional, Any\n\nimport docker\nfrom docker.errors import APIError, DockerException, NotFound\nfrom fastmcp import Client\nfrom fastmcp.client.transports import StreamableHttpTransport, SSETransport\n\nfrom .container_client_base import ContainerClient, ContainerConfig\nfrom .docker_config import DockerContainerConfig\n\nlogger = logging.getLogger(\"nexent.container.docker\")\n\n\nclass ContainerError(Exception):\n    \"\"\"Raised when container operation fails\"\"\"\n\n    pass\n\n\nclass ContainerConnectionError(Exception):\n    \"\"\"Raised when container connection fails\"\"\"\n\n    pass\n\n\nclass DockerContainerClient(ContainerClient):\n    \"\"\"Docker container client implementation\"\"\"\n\n    DEFAULT_NETWORK_NAME = \"nexent_nexent\"\n\n    def __init__(self, config: DockerContainerConfig):\n        \"\"\"\n        Initialize Docker client\n\n        Args:\n            config: Docker container configuration\n\n        Raises:\n            ContainerError: If Docker connection fails\n        \"\"\"\n        config.validate()\n        base_url = config.base_url\n\n        try:\n            self.client = docker.DockerClient(base_url=base_url)\n            # Test connection\n            self.client.ping()\n            logger.info(\n                f\"Docker client initialized successfully with base_url={base_url}\")\n        except DockerException as e:\n            logger.error(f\"Failed to connect to Docker socket: {e}\")\n            raise ContainerError(f\"Cannot connect to Docker: {e}\")\n        except Exception as e:\n            logger.error(f\"Failed to initialize Docker client: {e}\")\n            raise ContainerError(f\"Cannot connect to Docker: {e}\")\n\n    @staticmethod\n    def _is_running_in_docker() -> bool:\n        \"\"\"\n        Check if the current process is running inside a Docker container\n\n        Returns:\n            True if running in Docker container, False otherwise\n        \"\"\"\n        # Check for /.dockerenv file (most reliable indicator)\n        if Path(\"/.dockerenv\").exists():\n            return True\n\n        # Check /proc/self/cgroup for Docker (Linux only)\n        try:\n            cgroup_path = Path(\"/proc/self/cgroup\")\n            if cgroup_path.exists():\n                content = cgroup_path.read_text()\n                if \"docker\" in content or \"containerd\" in content:\n                    return True\n        except Exception:\n            pass\n\n        return False\n\n    @staticmethod\n    def _get_service_host(service_name: str) -> str:\n        \"\"\"\n        Get the appropriate host for service URLs based on running environment\n\n        Returns:\n            Service name if running in Docker container (container-to-container DNS),\n            'localhost' if running in local development environment\n        \"\"\"\n        if DockerContainerClient._is_running_in_docker():\n            return service_name\n        return \"localhost\"\n\n    def _ensure_network(self, network_name: str) -> None:\n        \"\"\"Ensure the Docker network exists (create it if missing).\"\"\"\n        try:\n            self.client.networks.get(network_name)\n        except NotFound:\n            try:\n                self.client.networks.create(network_name)\n                logger.info(f\"Created Docker network: {network_name}\")\n            except APIError as e:\n                # Handle race where another process created it.\n                try:\n                    self.client.networks.get(network_name)\n                except Exception as inner:\n                    raise ContainerError(\n                        f\"Failed to create or get Docker network '{network_name}': {e}\"\n                    ) from inner\n        except APIError as e:\n            raise ContainerError(\n                f\"Failed to get Docker network '{network_name}': {e}\")\n\n    @staticmethod\n    def _get_container_service_port(container: Any) -> Optional[str]:\n        \"\"\"\n        Get the service port for a container.\n\n        - In Docker-to-Docker mode (no published ports required), prefer PORT from env.\n        - Otherwise fall back to published host port if available.\n        \"\"\"\n        try:\n            # Prefer PORT from environment if present.\n            env_list = container.attrs.get(\"Config\", {}).get(\"Env\", []) or []\n            for item in env_list:\n                if isinstance(item, str) and item.startswith(\"PORT=\"):\n                    return item.split(\"=\", 1)[1]\n        except Exception:\n            pass\n\n        # Fall back to published host port mapping\n        try:\n            ports = container.attrs.get(\n                \"NetworkSettings\", {}).get(\"Ports\", {}) or {}\n            for _, host_mappings in ports.items():\n                if host_mappings and len(host_mappings) > 0:\n                    host_port = host_mappings[0].get(\"HostPort\")\n                    if host_port:\n                        return str(host_port)\n        except Exception:\n            pass\n\n        return None\n\n    def find_free_port(self, start_port: int = 5020, max_attempts: int = 100) -> int:\n        \"\"\"\n        Find an available port on host\n\n        Args:\n            start_port: Starting port number to check\n            max_attempts: Maximum number of ports to check\n\n        Returns:\n            Available port number\n\n        Raises:\n            ContainerError: If no available port found\n        \"\"\"\n        for i in range(max_attempts):\n            port = start_port + i\n            with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s:\n                s.settimeout(1)\n                result = s.connect_ex((\"localhost\", port))\n                if result != 0:\n                    logger.debug(f\"Found free port: {port}\")\n                    return port\n        raise ContainerError(\n            f\"No available port found in range {start_port}-{start_port + max_attempts}\"\n        )\n\n    def _generate_container_name(self, service_name: str, tenant_id: str, user_id: str) -> str:\n        \"\"\"Generate unique container name with service, tenant, and user segments.\"\"\"\n        # Sanitize service name for container name (only alphanumeric and hyphens)\n        safe_name = \"\".join(c if c.isalnum() or c ==\n                            \"-\" else \"-\" for c in service_name)\n        tenant_part = (tenant_id or \"\")[:8]\n        user_part = (user_id or \"\")[:8]\n        return f\"mcp-{safe_name}-{tenant_part}-{user_part}\"\n\n    async def start_container(\n        self,\n        service_name: str,\n        tenant_id: str,\n        user_id: str,\n        full_command: Optional[List[str]] = None,\n        env_vars: Optional[Dict[str, str]] = None,\n        host_port: Optional[int] = None,\n        image: Optional[str] = None,\n    ) -> Dict[str, Any]:\n        \"\"\"\n        Start container and return access URL\n\n        Args:\n            service_name: Name of the service\n            tenant_id: Tenant ID for isolation\n            user_id: User ID for isolation\n            full_command: Optional complete command list to run inside container (must start an HTTP endpoint).\n                         If None, uses the image's default CMD/ENTRYPOINT.\n            env_vars: Optional environment variables\n\n        Returns:\n            Dictionary with container_id, service_url, host_port, and status\n\n        Raises:\n            ContainerError: If container startup fails\n        \"\"\"\n        container_name = self._generate_container_name(\n            service_name, tenant_id, user_id)\n        self._ensure_network(self.DEFAULT_NETWORK_NAME)\n\n        # Check if container already exists\n        try:\n            existing = self.client.containers.get(container_name)\n            if existing.status == \"running\":\n                if DockerContainerClient._is_running_in_docker():\n                    service_port = self._get_container_service_port(existing) or (\n                        str(host_port) if host_port is not None else None\n                    )\n                else:\n                    # Local mode: prefer published host port mapping over internal PORT env.\n                    service_port = None\n                    ports = existing.attrs.get(\n                        \"NetworkSettings\", {}).get(\"Ports\", {}) or {}\n                    for _, host_mappings in ports.items():\n                        if host_mappings and len(host_mappings) > 0:\n                            mapped = host_mappings[0].get(\"HostPort\")\n                            if mapped:\n                                service_port = str(mapped)\n                                break\n                    if service_port is None and host_port is not None:\n                        service_port = str(host_port)\n                if service_port:\n                    host = self._get_service_host(container_name)\n                    service_url = f\"http://{host}:{service_port}/mcp\"\n                    logger.info(\n                        f\"Using existing container {container_name} on port {service_port}\"\n                    )\n                    return {\n                        \"container_id\": existing.id,\n                        \"service_url\": service_url,\n                        \"host_port\": service_port,\n                        \"status\": \"existing\",\n                        \"container_name\": container_name,\n                    }\n            # Remove existing stopped container\n            logger.info(\n                f\"Removing existing stopped container {container_name}\")\n            existing.remove(force=True)\n        except NotFound:\n            pass\n        except Exception as e:\n            logger.warning(f\"Error checking existing container: {e}\")\n\n        # Find free port\n        if host_port is None:\n            if DockerContainerClient._is_running_in_docker():\n                # Inside Docker we do not need to publish host ports; use a stable default.\n                host_port = 5020\n            else:\n                try:\n                    host_port = self.find_free_port()\n                except ContainerError as e:\n                    logger.error(f\"Failed to find free port: {e}\")\n                    raise\n\n        # Extract authorization_token from env_vars if present (for health check)\n        authorization_token = None\n        if env_vars:\n            authorization_token = env_vars.get(\"authorization_token\")\n\n        # Prepare environment variables\n        container_env = {\n            \"PORT\": str(host_port),\n            \"TRANSPORT\": \"streamable-http\",\n            \"NODE_ENV\": \"production\",\n        }\n        if env_vars:\n            container_env.update(env_vars)\n\n        # Determine image name\n        command0 = full_command[0] if full_command else \"\"\n        if image is not None:\n            image_name = image\n        elif command0 in [\"npx\", \"node\", \"npm\"]:\n            image_name = \"node:22-alpine\"\n        else:\n            image_name = \"alpine:latest\"\n\n        full_command_to_run = full_command\n\n        container_config = {\n            \"image\": image_name,\n            \"name\": container_name,\n            \"environment\": container_env,\n            \"network\": self.DEFAULT_NETWORK_NAME,\n            \"restart_policy\": {\"Name\": \"unless-stopped\"},\n            \"detach\": True,\n            \"remove\": False,\n            \"stdin_open\": True,  # Keep stdin open for stdio-based services\n            \"tty\": False,\n        }\n\n        # Only set command if full_command is provided\n        if full_command_to_run:\n            container_config[\"command\"] = full_command_to_run\n\n        # Only publish ports when running locally; inside Docker network DNS is used.\n        if not DockerContainerClient._is_running_in_docker():\n            container_config[\"ports\"] = {f\"{host_port}/tcp\": host_port}\n\n        try:\n            if full_command_to_run:\n                logger.info(\n                    f\"Starting container {container_name} with command: {full_command_to_run}\")\n            else:\n                logger.info(\n                    f\"Starting container {container_name} with default image CMD/ENTRYPOINT\")\n            container = self.client.containers.run(**container_config)\n\n            # Wait a bit for container to start\n            await asyncio.sleep(2)\n\n            # Wait for service to be ready\n            host = self._get_service_host(container_name)\n            service_url = f\"http://{host}:{host_port}/mcp\"\n            try:\n                await self._wait_for_service_ready(service_url, max_retries=30, authorization_token=authorization_token)\n            except ContainerConnectionError:\n                # If health check fails, log but don't fail immediately\n                logger.warning(\n                    f\"Service health check failed for {service_url}, but container is running\"\n                )\n                # Check if container is still running\n                try:\n                    container.reload()\n                    if container.status != \"running\":\n                        raise ContainerError(\n                            f\"Container {container_name} stopped unexpectedly\")\n                except NotFound:\n                    raise ContainerError(\n                        f\"Container {container_name} not found after start\")\n\n            logger.info(\n                f\"Container {container_name} started successfully on port {host_port}\")\n            return {\n                \"container_id\": container.id,\n                \"service_url\": service_url,\n                \"host_port\": str(host_port),\n                \"status\": \"started\",\n                \"container_name\": container_name,\n            }\n        except APIError as e:\n            logger.error(f\"Docker API error starting container: {e}\")\n            raise ContainerError(f\"Container startup failed: {e}\")\n        except Exception as e:\n            logger.error(f\"Failed to start container: {e}\")\n            raise ContainerError(f\"Container startup failed: {e}\")\n\n    async def _wait_for_service_ready(\n        self, url: str, max_retries: int = 30, retry_delay: int = 5, authorization_token: Optional[str] = None\n    ):\n        \"\"\"\n        Wait for service to be ready by checking connection\n\n        Args:\n            url: Service URL\n            max_retries: Maximum number of retry attempts\n            retry_delay: Delay between retries in seconds\n            authorization_token: Optional authorization token for MCP server\n\n        Raises:\n            ContainerConnectionError: If service is not ready after max retries\n        \"\"\"\n        for i in range(max_retries):\n            try:\n                # Select transport based on URL ending and set headers\n                url_stripped = url.strip()\n                headers = {\"Authorization\": authorization_token} if authorization_token else {}\n\n                if url_stripped.endswith(\"/sse\"):\n                    transport = SSETransport(\n                        url=url_stripped,\n                        headers=headers\n                    )\n                elif url_stripped.endswith(\"/mcp\"):\n                    transport = StreamableHttpTransport(\n                        url=url_stripped,\n                        headers=headers\n                    )\n                else:\n                    # Default to StreamableHttpTransport for unrecognized formats\n                    transport = StreamableHttpTransport(\n                        url=url_stripped,\n                        headers=headers\n                    )\n\n                client = Client(transport=transport)\n                async with client:\n                    if client.is_connected():\n                        logger.info(f\"Service ready at {url}\")\n                        return\n                    # If not connected, treat as failure\n                    if i < max_retries - 1:\n                        logger.debug(\n                            f\"Service not ready yet (attempt {i+1}/{max_retries}): not connected\")\n                        await asyncio.sleep(retry_delay)\n                    else:\n                        logger.error(\n                            f\"Service not ready after {max_retries} attempts: not connected\")\n                        raise ContainerConnectionError(\n                            f\"Service not ready after {max_retries * retry_delay} seconds: not connected\"\n                        )\n            except BaseException as e:\n                if i < max_retries - 1:\n                    logger.debug(\n                        f\"Service not ready yet (attempt {i+1}/{max_retries}): {e}\")\n                    await asyncio.sleep(retry_delay)\n                else:\n                    logger.error(\n                        f\"Service not ready after {max_retries} attempts: {e}\", exc_info=True\n                    )\n                    raise ContainerConnectionError(\n                        f\"Service not ready after {max_retries * retry_delay} seconds: {e}\"\n                    )\n\n    async def stop_container(self, container_id: str) -> bool:\n        \"\"\"\n        Stop container\n\n        Args:\n            container_id: Container ID or name\n\n        Returns:\n            True if container was stopped successfully, False if not found\n\n        Raises:\n            ContainerError: If container stop fails\n        \"\"\"\n        try:\n            container = self.client.containers.get(container_id)\n            logger.info(\n                f\"Stopping container {container.name} ({container.id})\")\n            container.stop(timeout=10)\n            logger.info(f\"Container {container.name} stopped\")\n            return True\n        except NotFound:\n            logger.warning(f\"Container {container_id} not found\")\n            return False\n        except APIError as e:\n            logger.error(f\"Failed to stop container {container_id}: {e}\")\n            raise ContainerError(f\"Failed to stop container: {e}\")\n        except Exception as e:\n            logger.error(\n                f\"Unexpected error stopping container {container_id}: {e}\")\n            raise ContainerError(f\"Failed to stop container: {e}\")\n\n    async def remove_container(self, container_id: str) -> bool:\n        \"\"\"\n        Remove container\n\n        Args:\n            container_id: Container ID or name\n\n        Returns:\n            True if container was removed successfully, False if not found\n\n        Raises:\n            ContainerError: If container removal fails\n        \"\"\"\n        try:\n            container = self.client.containers.get(container_id)\n            logger.info(\n                f\"Removing container {container.name} ({container.id})\")\n            container.remove()\n            logger.info(f\"Container {container.name} removed\")\n            return True\n        except NotFound:\n            logger.warning(f\"Container {container_id} not found\")\n            return False\n        except APIError as e:\n            logger.error(f\"Failed to remove container {container_id}: {e}\")\n            raise ContainerError(f\"Failed to remove container: {e}\")\n        except Exception as e:\n            logger.error(\n                f\"Unexpected error removing container {container_id}: {e}\")\n            raise ContainerError(f\"Failed to remove container: {e}\")\n\n    def list_containers(\n        self, tenant_id: Optional[str] = None, service_name: Optional[str] = None\n    ) -> List[Dict[str, Any]]:\n        \"\"\"\n        List all containers, optionally filtered by tenant or service\n\n        Args:\n            tenant_id: Optional tenant ID to filter containers\n            service_name: Optional service name to filter containers\n\n        Returns:\n            List of container information dictionaries\n        \"\"\"\n        try:\n            containers = self.client.containers.list(\n                all=True, filters={\"name\": \"mcp-\"})\n            result = []\n            for container in containers:\n                # Filter by tenant_id if provided\n                if tenant_id and tenant_id[:8] not in container.name:\n                    continue\n\n                # Filter by service_name if provided\n                if service_name:\n                    safe_name = \"\".join(\n                        c if c.isalnum() or c == \"-\" else \"-\" for c in service_name\n                    )\n                    if safe_name not in container.name:\n                        continue\n\n                ports = container.attrs.get(\n                    \"NetworkSettings\", {}).get(\"Ports\", {})\n                host_port = None\n                for port_mappings in ports.values():\n                    if port_mappings and len(port_mappings) > 0:\n                        host_port = port_mappings[0].get(\"HostPort\")\n                        if host_port:\n                            break\n\n                service_port = None\n                if DockerContainerClient._is_running_in_docker():\n                    service_port = self._get_container_service_port(container)\n                else:\n                    service_port = host_port\n\n                host = self._get_service_host(container.name)\n                result.append(\n                    {\n                        \"container_id\": container.id,\n                        \"name\": container.name,\n                        \"status\": container.status,\n                        \"service_url\": (\n                            f\"http://{host}:{service_port}/mcp\" if service_port else None\n                        ),\n                        \"host_port\": service_port,\n                    }\n                )\n            return result\n        except Exception as e:\n            logger.error(f\"Failed to list containers: {e}\")\n            return []\n\n    def get_container_logs(self, container_id: str, tail: int = 100) -> str:\n        \"\"\"\n        Get container logs\n\n        Args:\n            container_id: Container ID or name\n            tail: Number of log lines to retrieve\n\n        Returns:\n            Container logs as string\n        \"\"\"\n        try:\n            container = self.client.containers.get(container_id)\n            logs = container.logs(tail=tail, stdout=True, stderr=True)\n            return logs.decode(\"utf-8\", errors=\"replace\")\n        except NotFound:\n            logger.warning(f\"Container {container_id} not found\")\n            return \"\"\n        except Exception as e:\n            logger.error(f\"Failed to get container logs: {e}\")\n            return f\"Error retrieving logs: {e}\"\n\n    def get_container_status(self, container_id: str) -> Optional[Dict[str, Any]]:\n        \"\"\"\n        Get container status information\n\n        Args:\n            container_id: Container ID or name\n\n        Returns:\n            Dictionary with container status information, or None if not found\n        \"\"\"\n        try:\n            container = self.client.containers.get(container_id)\n            ports = container.attrs.get(\"NetworkSettings\", {}).get(\"Ports\", {})\n            host_port = None\n            for port_mappings in ports.values():\n                if port_mappings and len(port_mappings) > 0:\n                    host_port = port_mappings[0].get(\"HostPort\")\n                    if host_port:\n                        break\n\n            service_port = None\n            if DockerContainerClient._is_running_in_docker():\n                service_port = self._get_container_service_port(container)\n            else:\n                service_port = host_port\n\n            host = self._get_service_host(container.name)\n            return {\n                \"container_id\": container.id,\n                \"name\": container.name,\n                \"status\": container.status,\n                \"service_url\": (\n                    f\"http://{host}:{service_port}/mcp\" if service_port else None\n                ),\n                \"host_port\": service_port,\n                \"created\": container.attrs.get(\"Created\"),\n                \"image\": container.attrs.get(\"Config\", {}).get(\"Image\"),\n            }\n        except NotFound:\n            return None\n        except Exception as e:\n            logger.error(f\"Failed to get container status: {e}\")\n            return None\n"
  },
  {
    "path": "sdk/nexent/container/docker_config.py",
    "content": "\"\"\"\nDocker container configuration\n\"\"\"\n\nimport os\nimport sys\nfrom typing import Optional\n\nfrom .container_client_base import ContainerConfig\n\n\nclass DockerContainerConfig(ContainerConfig):\n    \"\"\"Docker container configuration\"\"\"\n\n    def __init__(\n        self,\n        docker_socket_path: Optional[str] = None,\n    ):\n        \"\"\"\n        Initialize Docker configuration\n\n        Args:\n            docker_socket_path: Path to Docker socket (Unix) or named pipe (Windows)\n        \"\"\"\n        self._docker_socket_path = docker_socket_path\n        self._base_url = None\n\n    @property\n    def container_type(self) -> str:\n        \"\"\"Get container type\"\"\"\n        return \"docker\"\n\n    @property\n    def base_url(self) -> str:\n        \"\"\"Get Docker base URL\"\"\"\n        if self._base_url:\n            return self._base_url\n\n        socket_path = self._docker_socket_path or self._get_default_socket_path()\n        self._base_url = self._normalize_base_url(socket_path)\n        return self._base_url\n\n    def _get_default_socket_path(self) -> str:\n        \"\"\"Get default Docker socket path based on OS\"\"\"\n        if sys.platform.startswith(\"win\"):\n            return \"//./pipe/docker_engine\"\n        return \"/var/run/docker.sock\"\n\n    def _normalize_base_url(self, value: str) -> str:\n        \"\"\"Normalize Docker base URL to include scheme for different platforms\"\"\"\n        if value and \"://\" in value:\n            return value\n\n        # Windows: prefer named pipe\n        if sys.platform.startswith(\"win\"):\n            if not value:\n                return \"npipe:////./pipe/docker_engine\"\n            if value.startswith(\"//./pipe/\") or value.startswith(r\"\\\\.\\\\pipe\\\\\"):\n                return f\"npipe://{value}\"\n            return f\"npipe://{value}\"\n\n        # Unix-like: use unix socket\n        if not value:\n            return \"unix:///var/run/docker.sock\"\n        if value.startswith(\"/\"):\n            return f\"unix://{value}\"\n        return value\n\n    def validate(self) -> None:\n        \"\"\"\n        Validate configuration parameters\n\n        Raises:\n            ValueError: If configuration is invalid\n        \"\"\"\n        # Configuration is always valid as we have defaults\n        pass\n\n"
  },
  {
    "path": "sdk/nexent/core/__init__.py",
    "content": "from .utils.observer import MessageObserver, ProcessType\n\n__all__ = [\"MessageObserver\", \"ProcessType\"]\n\n# Lazy imports to avoid circular dependencies\ndef get_core_agent():\n    from .agents import CoreAgent\n    return CoreAgent\n\ndef get_openai_model():\n    from .models import OpenAIModel\n    return OpenAIModel\n"
  },
  {
    "path": "sdk/nexent/core/agents/__init__.py",
    "content": "from .core_agent import CoreAgent\nfrom .agent_model import ModelConfig, ToolConfig, AgentConfig, AgentRunInfo, AgentHistory\n\n__all__ = [\"CoreAgent\", \"ModelConfig\", \"ToolConfig\", \"AgentConfig\", \"AgentRunInfo\", \"AgentHistory\"]"
  },
  {
    "path": "sdk/nexent/core/agents/agent_model.py",
    "content": "from __future__ import annotations\n\nfrom threading import Event\nfrom typing import Any, Dict, List, Optional, Union\n\nfrom pydantic import BaseModel, Field\n\nfrom ..utils.observer import MessageObserver\n\n\nclass ModelConfig(BaseModel):\n    cite_name: str = Field(description=\"Model alias\")\n    api_key: str = Field(description=\"API key\", default=\"\")\n    model_name: str = Field(description=\"Model call name\")\n    url: str = Field(description=\"Model endpoint URL\")\n    temperature: Optional[float] = Field(description=\"Temperature\", default=0.1)\n    top_p: Optional[float] = Field(description=\"Top P\", default=0.95)\n    ssl_verify: Optional[bool] = Field(description=\"Whether to verify SSL certificates\", default=True)\n    model_factory: Optional[str] = Field(\n        description=\"Model provider identifier (e.g., openai, modelengine)\",\n        default=None\n    )\n\n\nclass ToolConfig(BaseModel):\n    class_name: str = Field(description=\"Tool class name\")\n    name: Optional[str] = Field(description=\"Tool name\")\n    description: Optional[str] = Field(description=\"Tool description\")\n    inputs: Optional[str] = Field(description=\"Tool inputs\")\n    output_type: Optional[str] = Field(description=\"Tool output type\")\n    params: Dict[str, Any] = Field(description=\"Initialization parameters\")\n    source: str = Field(description=\"Tool source, can be local or mcp\")\n    usage: Optional[str] = Field(description=\"MCP server name\", default=None)\n    metadata: Optional[Dict[str, Any]] = Field(description=\"Metadata\", default=None)\n\nclass AgentConfig(BaseModel):\n    name: str = Field(description=\"Agent name\")\n    description: str = Field(description=\"Agent description\")\n    prompt_templates: Optional[Dict[str, Any]] = Field(description=\"Prompt templates\", default=None)\n    tools: List[ToolConfig] = Field(description=\"List of tool information\")\n    max_steps: int = Field(description=\"Maximum number of steps for current Agent\", default=5)\n    model_name: str = Field(description=\"Model alias from ModelConfig\")\n    provide_run_summary: Optional[bool] = Field(description=\"Whether to provide run summary to upper-level Agent\", default=False)\n    managed_agents: List[AgentConfig] = Field(description=\"Managed Agents\", default=[])\n\n\nclass AgentHistory(BaseModel):\n    role: str = Field(description=\"Role, can be user or assistant\")\n    content : str = Field(description=\"Conversation content\")\n\n\nclass AgentRunInfo(BaseModel):\n    query: str = Field(description=\"User query\")\n    model_config_list: List[ModelConfig] = Field(description=\"List of model configurations\")\n    observer: MessageObserver = Field(description=\"Return data\")\n    agent_config: AgentConfig = Field(description=\"Detailed Agent configuration\")\n    mcp_host: Optional[List[Union[str, Dict[str, Any]]]] = Field(\n        description=\"MCP server address(es). Can be a string (URL) or dict with 'url', 'transport', \"\n        \"and optionally 'authorization' or 'headers' keys. \"\n        \"Transport can be 'sse' or 'streamable-http'. If string, transport is auto-detected based on URL ending: \"\n        \"URLs ending with '/sse' use 'sse' transport, URLs ending with '/mcp' use 'streamable-http' transport. \"\n        \"Authorization can be provided as 'authorization' (e.g., 'Bearer token') or as 'headers' dict.\",\n        default=None\n    )\n    history: Optional[List[AgentHistory]] = Field(description=\"Historical conversation information\", default=None)\n    stop_event: Event = Field(description=\"Stop event control\")\n\n    class Config:\n        arbitrary_types_allowed = True\n\nclass MemoryContext(BaseModel):\n    user_config: MemoryUserConfig = Field(description=\"Memory user configuration\")\n    memory_config: Dict[str, Any] = Field(description=\"Memory llm/embedder/vectorstore configuration\")\n    tenant_id: str = Field(description=\"Tenant id\")\n    user_id: str = Field(description=\"User id\")\n    agent_id: str = Field(description=\"Agent id\")\n\n    def __str__(self) -> str:  # pragma: no cover\n        return self.model_dump_json(indent=2, ensure_ascii=False)\n\n\nclass MemoryUserConfig(BaseModel):\n    memory_switch: bool = Field(description=\"Whether to use memory\")\n    agent_share_option: str = Field(description=\"Agent share option\")\n    disable_agent_ids: List[str] = Field(description=\"Disable agent ids\")\n    disable_user_agent_ids: List[str] = Field(description=\"Disable user agent ids\")\n\n    def __str__(self) -> str:  # pragma: no cover\n        return self.model_dump_json(indent=2, ensure_ascii=False)\n"
  },
  {
    "path": "sdk/nexent/core/agents/core_agent.py",
    "content": "import json\nimport re\nimport ast\nimport time\nimport threading\nfrom textwrap import dedent\nfrom typing import Any, Optional, List, Dict\nfrom collections.abc import Generator\n\nfrom rich.console import Group\nfrom rich.text import Text\n\nfrom smolagents.agents import CodeAgent, handle_agent_output_types, AgentError, ActionOutput, RunResult\nfrom smolagents.local_python_executor import fix_final_answer_code\nfrom smolagents.memory import ActionStep, PlanningStep, FinalAnswerStep, ToolCall, TaskStep, SystemPromptStep\nfrom smolagents.models import ChatMessage, CODEAGENT_RESPONSE_FORMAT\nfrom smolagents.monitoring import LogLevel, Timing, YELLOW_HEX, TokenUsage\nfrom smolagents.utils import AgentExecutionError, AgentGenerationError, truncate_content, AgentMaxStepsError, \\\n    extract_code_from_text\n\nfrom ..utils.observer import MessageObserver, ProcessType\nfrom jinja2 import Template, StrictUndefined\n\nfrom typing import TYPE_CHECKING\nif TYPE_CHECKING:\n    import PIL.Image\n\n\ndef parse_code_blobs(text: str) -> str:\n    \"\"\"Extract code blocs from the LLM's output for execution.\n\n    This function is used to parse code that needs to be executed, so it only handles\n    <RUN> format and legacy python formats.\n\n    Args:\n        text (`str`): LLM's output text to parse.\n\n    Returns:\n        `str`: Extracted code block for execution.\n\n    Raises:\n        ValueError: If no valid code block is found in the text.\n    \"\"\"\n    # First try to match the new <RUN> format for execution\n    # <END_CODE> is optional - match both with and without it\n    run_pattern = r\"```<RUN>\\s*\\n(.*?)\\n```(?:<END_CODE>)?\"\n    run_matches = re.findall(run_pattern, text, re.DOTALL)\n\n    if run_matches:\n        return \"\\n\\n\".join(match.strip() for match in run_matches)\n\n    # Fallback to original patterns: py|python (for execution)\n    pattern = r\"```(?:py|python)\\s*\\n(.*?)\\n```\"\n    matches = re.findall(pattern, text, re.DOTALL)\n    if matches:\n        return \"\\n\\n\".join(match.strip() for match in matches)\n\n    # Maybe the LLM outputted a code blob directly\n    try:\n        ast.parse(text)\n        return text\n    except SyntaxError:\n        pass\n\n    raise ValueError(\n        dedent(\n            f\"\"\"\n            Your code snippet is invalid, because no valid executable code block pattern was found in it.\n            Here is your code snippet:\n            {text}\n            Make sure to include code with the correct pattern for execution:\n            Thoughts: Your thoughts\n            Code:\n            ```<RUN>\n            # Your python code here (for execution)\n            ```<END_CODE>\n            \"\"\"\n        ).strip()\n    )\n\n\ndef convert_code_format(text):\n    \"\"\"\n    Convert code blocks to markdown format for display.\n\n    This function is used to convert code blocks in final answers to markdown format,\n    so it handles <DISPLAY:language> format and legacy formats.\n    \"\"\"\n    # Handle new format: ```<DISPLAY:language> to ```language\n    text = re.sub(r'```<DISPLAY:(\\w+)>', r'```\\1', text)\n\n    # Handle legacy format: ```code:language to ```language\n    text = re.sub(r'```code:(\\w+)', r'```\\1', text)\n\n    # Restore <END_CODE> if it was affected by the above replacement\n    text = text.replace(\"```<END_CODE>\", \"```\")\n    text = text.replace(\"```<END_DISPLAY_CODE>\", \"```\")\n\n    # Clean up any remaining ```< patterns\n    text = text.replace(\"```<\", \"```\")\n\n    return text\n\n\nclass FinalAnswerError(Exception):\n    \"\"\"Raised when agent output directly.\"\"\"\n    pass\n\n\nclass CoreAgent(CodeAgent):\n    def __init__(self, observer: MessageObserver, prompt_templates: Dict[str, Any] | None = None, *args, **kwargs):\n        super().__init__(prompt_templates=prompt_templates, *args, **kwargs)\n        self.observer = observer\n        self.stop_event = threading.Event()\n\n    def _log_model_call_parameters(self, input_messages: List[ChatMessage], stop_sequences: List[str], additional_args: Dict[str, Any]) -> None:\n        \"\"\"\n        Log model call parameters with content truncation for readability.\n\n\n        Args:\n            input_messages: List of chat messages being sent to the model\n            stop_sequences: Stop sequences for the model\n            additional_args: Additional arguments passed to the model\n        \"\"\"\n        try:\n            # Convert messages to serializable format and truncate\n            messages_data = []\n            for msg in input_messages:\n                msg_dict = msg.model_dump() if hasattr(msg, 'model_dump') else (\n                    msg.__dict__ if hasattr(msg, '__dict__') else str(msg)\n                )\n                messages_data.append(msg_dict)\n\n            # Format as JSON with truncation for readability\n            messages_json = json.dumps(messages_data, indent=2, ensure_ascii=False, default=str)\n            truncated_messages = truncate_content(messages_json, max_length=1000)\n\n            # Format stop sequences\n            stop_seq_str = \", \".join(f'\"{seq}\"' for seq in stop_sequences) if stop_sequences else \"None\"\n\n            # Format additional args (excluding sensitive data)\n            safe_args = {}\n            for key, value in additional_args.items():\n                if key.lower() in ['api_key', 'token', 'password', 'secret']:\n                    safe_args[key] = \"***REDACTED***\"\n                else:\n                    safe_args[key] = value\n\n            args_str = json.dumps(safe_args, indent=2, ensure_ascii=False) if safe_args else \"None\"\n\n            # Create log content\n            log_content = f\"\"\"Input Messages ({len(input_messages)} total):\n{truncated_messages}\n\nStop Sequences: [{stop_seq_str}]\nAdditional Args:\n{args_str}\"\"\"\n\n            self.logger.log_markdown(\n                content=log_content,\n                title=\"MODEL INPUT PARAMETERS\",\n                level=LogLevel.INFO\n            )\n\n        except Exception as e:\n            # Don't let logging errors break the model call\n            self.logger.log(f\"Failed to log model call parameters: {e}\", level=LogLevel.WARNING)\n\n    def _step_stream(self, memory_step: ActionStep) -> Generator[Any]:\n        \"\"\"\n        Perform one step in the ReAct framework: the agent thinks, acts, and observes the result.\n        Returns None if the step is not final.\n        \"\"\"\n        self.observer.add_message(\n            self.agent_name, ProcessType.STEP_COUNT, self.step_number)\n\n        memory_messages = self.write_memory_to_messages()\n\n        input_messages = memory_messages.copy()\n\n        # Add new step in logs\n        memory_step.model_input_messages = input_messages\n        stop_sequences = [\"<END_CODE>\", \"Observation:\", \"Calling tools:\", \"<END_CODE\"]\n\n        # Prepare additional arguments\n        additional_args: dict[str, Any] = {}\n        if self._use_structured_outputs_internally:\n            additional_args[\"response_format\"] = CODEAGENT_RESPONSE_FORMAT\n\n        # Log model call parameters before execution\n        self._log_model_call_parameters(input_messages, stop_sequences, additional_args)\n\n        try:\n            chat_message: ChatMessage = self.model(input_messages,\n                                                   stop_sequences=stop_sequences, **additional_args)\n            memory_step.model_output_message = chat_message\n            model_output = chat_message.content\n            memory_step.token_usage = chat_message.token_usage\n            memory_step.model_output = model_output\n\n            self.logger.log_markdown(\n                content=model_output, title=\"MODEL OUTPUT\", level=LogLevel.INFO)\n        except Exception as e:\n            raise AgentGenerationError(\n                f\"Error in generating model output:\\n{e}\", self.logger) from e\n\n        self.logger.log_markdown(\n            content=model_output, title=\"Output message of the LLM:\", level=LogLevel.DEBUG)\n\n        # Parse\n        try:\n            if self._use_structured_outputs_internally:\n                code_action = json.loads(model_output)[\"code\"]\n                code_action = extract_code_from_text(code_action, self.code_block_tags) or code_action\n            else:\n                code_action = parse_code_blobs(model_output)\n            code_action = fix_final_answer_code(code_action)\n            memory_step.code_action = code_action\n            # Record parsing results\n            self.observer.add_message(\n                self.agent_name, ProcessType.PARSE, code_action)\n\n        except Exception:\n            self.logger.log_markdown(\n                content=model_output, title=\"AGENT FINAL ANSWER\", level=LogLevel.INFO)\n            raise FinalAnswerError()\n\n        tool_call = ToolCall(\n            name=\"python_interpreter\",\n            arguments=code_action,\n            id=f\"call_{len(self.memory.steps)}\",\n        )\n        memory_step.tool_calls = [tool_call]\n\n        # Execute\n        self.logger.log_code(title=\"Executing parsed code:\",\n                             content=code_action, level=LogLevel.INFO)\n        try:\n            code_output = self.python_executor(code_action)\n            execution_outputs_console = []\n            if len(code_output.logs) > 0:\n                # Record execution results\n                self.observer.add_message(\n                    self.agent_name, ProcessType.EXECUTION_LOGS, f\"{code_output.logs}\")\n\n                execution_outputs_console += [\n                    Text(\"Execution logs:\", style=\"bold\"),\n                    Text(code_output.logs),\n                ]\n            observation = \"Execution logs:\\n\" + code_output.logs\n        except Exception as e:\n            if hasattr(self.python_executor, \"state\") and \"_print_outputs\" in self.python_executor.state:\n                execution_logs = str(\n                    self.python_executor.state[\"_print_outputs\"])\n                if len(execution_logs) > 0:\n                    # Record execution results\n                    self.observer.add_message(\n                        self.agent_name, ProcessType.EXECUTION_LOGS, f\"{execution_logs}\\n\")\n\n                    execution_outputs_console = [\n                        Text(\"Execution logs:\", style=\"bold\"), Text(execution_logs), ]\n                    memory_step.observations = \"Execution logs:\\n\" + execution_logs\n                    self.logger.log(\n                        Group(*execution_outputs_console), level=LogLevel.INFO)\n            error_msg = str(e)\n            if \"Import of \" in error_msg and \" is not allowed\" in error_msg:\n                self.logger.log(\n                    \"[bold red]Warning to user: Code execution failed due to an unauthorized import - Consider passing said import under `additional_authorized_imports` when initializing your CodeAgent.\",\n                    level=LogLevel.INFO, )\n            raise AgentExecutionError(error_msg, self.logger)\n\n        truncated_output = None\n        if code_output is not None and code_output.output is not None:\n            truncated_output = truncate_content(str(code_output.output))\n            observation += \"Last output from code snippet:\\n\" + truncated_output\n        memory_step.observations = observation\n\n        if not code_output.is_final_answer and truncated_output is not None:\n            execution_outputs_console += [\n                Text(\n                    f\"Out: {truncated_output}\",\n                ),\n            ]\n        self.logger.log(Group(*execution_outputs_console), level=LogLevel.INFO)\n        memory_step.action_output = code_output.output\n        yield ActionOutput(output=code_output.output, is_final_answer=code_output.is_final_answer)\n\n    def run(self, task: str, stream: bool = False, reset: bool = True, images: Optional[List[str]] = None,\n            additional_args: Optional[Dict] = None, max_steps: Optional[int] = None, return_full_result: bool | None = None):\n        \"\"\"\n        Run the agent for the given task.\n\n        Args:\n            task (`str`): Task to perform.\n            stream (`bool`): Whether to run in a streaming way.\n            reset (`bool`): Whether to reset the conversation or keep it going from previous run.\n            images (`list[str]`, *optional*): Paths to image(s).\n            additional_args (`dict`, *optional*): Any other variables that you want to pass to the agent run, for instance images or dataframes. Give them clear names!\n            max_steps (`int`, *optional*): Maximum number of steps the agent can take to solve the task. if not provided, will use the agent's default value.\n            return_full_result (`bool`, *optional*): Whether to return the full [`RunResult`] object or just the final answer output.\n                If `None` (default), the agent's `self.return_full_result` setting is used.\n\n        Example:\n        ```py\n        from nexent.smolagent import CodeAgent\n        agent = CodeAgent(tools=[])\n        agent.run(\"What is the result of 2 power 3.7384?\")\n        ```\n        \"\"\"\n        max_steps = max_steps or self.max_steps\n        self.task = task\n        if additional_args is not None:\n            self.state.update(additional_args)\n            self.task += f\"\"\"\nYou have been provided with these additional arguments, that you can access using the keys as variables in your python code:\n{str(additional_args)}.\"\"\"\n\n        self.memory.system_prompt = SystemPromptStep(\n            system_prompt=self.system_prompt)\n        if reset:\n            self.memory.reset()\n            self.monitor.reset()\n\n        self.logger.log_task(content=self.task.strip(),\n                             subtitle=f\"{type(self.model).__name__} - {(self.model.model_id if hasattr(self.model, 'model_id') else '')}\",\n                             level=LogLevel.INFO, title=self.name if hasattr(self, \"name\") else None, )\n\n        # Record current agent task\n        self.observer.add_message(\n            self.name, ProcessType.AGENT_NEW_RUN, self.task.strip())\n\n        self.memory.steps.append(TaskStep(task=self.task, task_images=images))\n\n        if getattr(self, \"python_executor\", None):\n            self.python_executor.send_variables(variables=self.state)\n            self.python_executor.send_tools(\n                {**self.tools, **self.managed_agents})\n\n        if stream:\n            # The steps are returned as they are executed through a generator to iterate on.\n            return self._run_stream(task=self.task, max_steps=max_steps, images=images)\n        run_start_time = time.time()\n        steps = list(self._run_stream(task=self.task, max_steps=max_steps, images=images))\n\n        # Outputs are returned only at the end. We only look at the last step.\n        assert isinstance(steps[-1], FinalAnswerStep)\n        output = steps[-1].output\n\n        return_full_result = return_full_result if return_full_result is not None else self.return_full_result\n        if return_full_result:\n            total_input_tokens = 0\n            total_output_tokens = 0\n            correct_token_usage = True\n            for step in self.memory.steps:\n                if isinstance(step, (ActionStep, PlanningStep)):\n                    if step.token_usage is None:\n                        correct_token_usage = False\n                        break\n                    else:\n                        total_input_tokens += step.token_usage.input_tokens\n                        total_output_tokens += step.token_usage.output_tokens\n            if correct_token_usage:\n                token_usage = TokenUsage(input_tokens=total_input_tokens, output_tokens=total_output_tokens)\n            else:\n                token_usage = None\n\n            if self.memory.steps and isinstance(getattr(self.memory.steps[-1], \"error\", None), AgentMaxStepsError):\n                state = \"max_steps_error\"\n            else:\n                state = \"success\"\n\n            step_dicts = self.memory.get_full_steps()\n\n            return RunResult(\n                output=output,\n                token_usage=token_usage,\n                steps=step_dicts,\n                timing=Timing(start_time=run_start_time, end_time=time.time()),\n                state=state,\n            )\n\n        return output\n\n    def __call__(self, task: str, **kwargs):\n        \"\"\"Adds additional prompting for the managed agent, runs it, and wraps the output.\n        This method is called only by a managed agent.\n        \"\"\"\n        full_task = Template(self.prompt_templates[\"managed_agent\"][\"task\"], undefined=StrictUndefined).render({\n            \"name\": self.name, \"task\": task, **self.state\n        })\n        result = self.run(full_task, **kwargs)\n        if isinstance(result, RunResult):\n            report = result.output\n        else:\n            report = result\n\n        # When a sub-agent finishes running, return a marker\n        try:\n            self.observer.add_message(\n                self.name, ProcessType.AGENT_FINISH, str(report))\n        except Exception:\n            self.observer.add_message(self.name, ProcessType.AGENT_FINISH, \"\")\n\n        answer = Template(self.prompt_templates[\"managed_agent\"][\"report\"], undefined=StrictUndefined).render({\n            \"name\": self.name, \"final_answer\": report\n        })\n        if self.provide_run_summary:\n            answer += \"\\n\\nFor more detail, find below a summary of this agent's work:\\n<summary_of_work>\\n\"\n            for message in self.write_memory_to_messages(summary_mode=True):\n                content = message.content\n                answer += \"\\n\" + truncate_content(str(content)) + \"\\n---\"\n            answer += \"\\n</summary_of_work>\"\n        return answer\n\n    def _run_stream(\n            self, task: str, max_steps: int, images: list[\"PIL.Image.Image\"] | None = None\n    ) -> Generator[ActionStep | PlanningStep | FinalAnswerStep]:\n        final_answer = None\n        action_step = None\n        self.step_number = 1\n        returned_final_answer = False\n        while not returned_final_answer and self.step_number <= max_steps and not self.stop_event.is_set():\n            step_start_time = time.time()\n\n            action_step = ActionStep(\n                step_number=self.step_number, timing=Timing(start_time=step_start_time), observations_images=images\n            )\n            try:\n                for output in self._step_stream(action_step):\n                    yield output\n\n                if isinstance(output, ActionOutput) and output.is_final_answer:\n                    final_answer = output.output\n                    self.logger.log(\n                        Text(f\"Final answer: {final_answer}\", style=f\"bold {YELLOW_HEX}\"),\n                        level=LogLevel.INFO,\n                    )\n\n                    if self.final_answer_checks:\n                        self._validate_final_answer(final_answer)\n                    returned_final_answer = True\n                    action_step.is_final_answer = True\n\n            except FinalAnswerError:\n                # When the model does not output code, directly treat the large model content as the final answer\n                final_answer = action_step.model_output\n                if isinstance(final_answer, str):\n                    final_answer = convert_code_format(final_answer)\n                returned_final_answer = True\n                action_step.is_final_answer = True\n\n            except AgentError as e:\n                action_step.error = e\n\n            finally:\n                self._finalize_step(action_step)\n                self.memory.steps.append(action_step)\n                yield action_step\n                self.step_number += 1\n\n        if self.stop_event.is_set():\n            final_answer = \"<user_break>\"\n\n        if not returned_final_answer and self.step_number == max_steps + 1:\n            final_answer = self._handle_max_steps_reached(task)\n            yield action_step\n        yield FinalAnswerStep(handle_agent_output_types(final_answer))\n"
  },
  {
    "path": "sdk/nexent/core/agents/nexent_agent.py",
    "content": "import re\nimport time\nfrom threading import Event\nfrom typing import List\n\nfrom smolagents import ActionStep, AgentText, TaskStep, Timing\nfrom smolagents.tools import Tool\n\nfrom ..models.openai_llm import OpenAIModel\nfrom ..tools import *  # Used for tool creation, do not delete!!!\nfrom ..utils.constants import THINK_TAG_PATTERN, THINK_PREFIX_PATTERN\nfrom ..utils.observer import MessageObserver, ProcessType\nfrom .agent_model import AgentConfig, AgentHistory, ModelConfig, ToolConfig\nfrom .core_agent import CoreAgent, convert_code_format\n\n\nclass NexentAgent:\n    def __init__(self, observer: MessageObserver,\n                 model_config_list: List[ModelConfig],\n                 stop_event: Event,\n                 mcp_tool_collection=None):\n        \"\"\"\n        init the agent create factory\n\n        Args:\n            mcp_tool_collection:\n            observer:\n            model_config_list:\n        \"\"\"\n        if not isinstance(observer, MessageObserver):\n            raise TypeError(\"Create Observer Object with MessageObserver\")\n\n        self.observer = observer\n        self.model_config_list = model_config_list\n        self.stop_event = stop_event\n        self.mcp_tool_collection = mcp_tool_collection\n\n        self.agent = None\n\n    def create_model(self, model_cite_name: str):\n        \"\"\"create a model instance\"\"\"\n        # Filter out None values and find matching model config\n        model_config = next(\n            (model_config for model_config in self.model_config_list\n             if model_config is not None and model_config.cite_name == model_cite_name),\n            None\n        )\n        if model_config is None:\n            raise ValueError(f\"Model {model_cite_name} not found\")\n        model = OpenAIModel(\n            observer=self.observer,\n            model_id=model_config.model_name,\n            api_key=model_config.api_key,\n            api_base=model_config.url,\n            temperature=model_config.temperature,\n            top_p=model_config.top_p,\n            ssl_verify=model_config.ssl_verify if model_config.ssl_verify is not None else True,\n            model_factory=model_config.model_factory\n        )\n        model.stop_event = self.stop_event\n        return model\n\n\n    def create_local_tool(self, tool_config: ToolConfig):\n        class_name = tool_config.class_name\n        params = tool_config.params\n        tool_class = globals().get(class_name)\n        if tool_class is None:\n            raise ValueError(f\"{class_name} not found in local\")\n        else:\n            if class_name == \"KnowledgeBaseSearchTool\":\n                # Filter out conflicting parameters from params to avoid conflicts\n                # These parameters have exclude=True and cannot be passed to __init__\n                # due to smolagents.tools.Tool wrapper restrictions\n                filtered_params = {k: v for k, v in params.items()\n                                   if k not in [\"vdb_core\", \"embedding_model\", \"observer\"]}\n                # Create instance with only non-excluded parameters\n                tools_obj = tool_class(**filtered_params)\n                # Set excluded parameters directly as attributes after instantiation\n                # This bypasses smolagents wrapper restrictions\n                tools_obj.observer = self.observer\n                tools_obj.vdb_core = tool_config.metadata.get(\n                    \"vdb_core\", None) if tool_config.metadata else None\n                tools_obj.embedding_model = tool_config.metadata.get(\n                    \"embedding_model\", None) if tool_config.metadata else None\n            elif class_name == \"DataMateSearchTool\":\n                tools_obj = tool_class(**params)\n                tools_obj.observer = self.observer\n            elif class_name == \"AnalyzeTextFileTool\":\n                tools_obj = tool_class(observer=self.observer,\n                                       llm_model=tool_config.metadata.get(\"llm_model\", []),\n                                       storage_client=tool_config.metadata.get(\"storage_client\", []),\n                                       data_process_service_url=tool_config.metadata.get(\"data_process_service_url\", []),\n                                       **params)\n            elif class_name == \"AnalyzeImageTool\":\n                tools_obj = tool_class(observer=self.observer,\n                                       vlm_model=tool_config.metadata.get(\"vlm_model\", []),\n                                       storage_client=tool_config.metadata.get(\"storage_client\", []),\n                                       **params)\n            else:\n                tools_obj = tool_class(**params)\n                if hasattr(tools_obj, 'observer'):\n                    tools_obj.observer = self.observer\n            return tools_obj\n\n    def create_langchain_tool(self, tool_config: ToolConfig):\n        tool_obj = tool_config.metadata\n        return Tool.from_langchain(tool_obj)\n\n    def create_mcp_tool(self, class_name):\n        if self.mcp_tool_collection is None:\n            raise ValueError(\"MCP tool collection is not initialized\")\n        tool_obj = next(\n            (tool for tool in self.mcp_tool_collection.tools if tool.name == class_name),\n            None\n        )\n        if tool_obj is None:\n            raise ValueError(f\"{class_name} not found in MCP server\")\n        return tool_obj\n\n    def create_tool(self, tool_config: ToolConfig):\n        \"\"\"create a tool instance according to the tool config\"\"\"\n        if not isinstance(tool_config, ToolConfig):\n            raise TypeError(\"tool_config must be a ToolConfig object\")\n        try:\n            class_name = tool_config.class_name\n            source = tool_config.source\n\n            if source == \"local\":\n                tool_obj = self.create_local_tool(tool_config)\n            elif source == \"mcp\":\n                tool_obj = self.create_mcp_tool(class_name)\n            elif source == \"langchain\":\n                tool_obj = self.create_langchain_tool(tool_config)\n            else:\n                raise ValueError(f\"unsupported tool source: {source}\")\n            return tool_obj\n        except Exception as e:\n            raise ValueError(f\"Error in creating tool: {e}\")\n\n    def create_single_agent(self, agent_config: AgentConfig):\n        if not isinstance(agent_config, AgentConfig):\n            raise TypeError(\"agent_config must be a AgentConfig object\")\n\n        try:\n            model = self.create_model(agent_config.model_name)\n            prompt_templates = agent_config.prompt_templates\n\n            try:\n                tool_list = [self.create_tool(tool_config) for tool_config in agent_config.tools]\n            except Exception as e:\n                raise ValueError(f\"Error in creating tool: {e}\")\n\n            try:\n                managed_agents_list = [self.create_single_agent(sub_agent_config) for sub_agent_config in agent_config.managed_agents]\n            except Exception as e:\n                raise ValueError(f\"Error in creating managed agent: {e}\")\n\n            # create the agent\n            agent = CoreAgent(\n                observer=self.observer,\n                tools=tool_list,\n                model=model,\n                name=agent_config.name,\n                description=agent_config.description,\n                max_steps=agent_config.max_steps,\n                prompt_templates=prompt_templates,\n                provide_run_summary=agent_config.provide_run_summary,\n                managed_agents=managed_agents_list\n            )\n            agent.stop_event = self.stop_event\n\n            return agent\n        except Exception as e:\n            raise ValueError(f\"Error in creating agent, agent name: {agent_config.name}, Error: {e}\")\n\n    def add_history_to_agent(self, history: List[AgentHistory]):\n        \"\"\"\n        Add conversation history to agent's memory\n\n        Args:\n            history: List of conversation messages with role and content\n        \"\"\"\n        if history is None:\n            return\n\n        if not isinstance(self.agent, CoreAgent):\n            raise TypeError(f\"agent must be a CoreAgent object, not {type(self.agent)}\")\n\n        if not all(isinstance(msg, AgentHistory) for msg in history):\n            raise TypeError(\"history must be a list of AgentHistory objects\")\n\n        self.agent.memory.reset()\n        # Add conversation history to memory sequentially\n        for msg in history:\n            if msg.role == 'user':\n                # Create task step for user message\n                self.agent.memory.steps.append(TaskStep(task=msg.content))\n            elif msg.role == 'assistant':\n                self.agent.memory.steps.append(ActionStep(step_number=len(self.agent.memory.steps) + 1,\n                                                          timing=Timing(start_time=time.time()),\n                                                          action_output=msg.content, model_output=msg.content))\n\n    def agent_run_with_observer(self, query: str, reset=True):\n        if not isinstance(self.agent, CoreAgent):\n            raise TypeError(f\"agent must be a CoreAgent object, not {type(self.agent)}\")\n\n        observer = self.agent.observer\n        try:\n            for step_log in self.agent.run(query, stream=True, reset=reset):\n                # Add content to observer\n                if not isinstance(step_log, ActionStep):\n                    continue\n                # Keep duration\n                if hasattr(step_log, \"duration\"):\n                    observer.add_message(\"\", ProcessType.TOKEN_COUNT, str(round(float(step_log.duration), 2)))\n\n                if hasattr(step_log, \"error\") and step_log.error is not None:\n                    observer.add_message(\"\", ProcessType.ERROR, str(step_log.error))\n\n            final_answer = step_log.output  # Last log is the run's final_answer\n\n            if isinstance(final_answer, AgentText):\n                final_answer_str = convert_code_format(final_answer.to_string())\n            else:\n                # prepare for multi-modal final_answer\n                final_answer_str = convert_code_format(str(final_answer))\n            final_answer_str = re.sub(\n                THINK_TAG_PATTERN, \"\", final_answer_str, flags=re.DOTALL | re.IGNORECASE)\n            # Remove \"思考：\" or \"思考:\" prefix content (until two newlines)\n            final_answer_str = re.sub(\n                THINK_PREFIX_PATTERN, \"\", final_answer_str, flags=re.DOTALL)\n            observer.add_message(self.agent.agent_name,\n                                 ProcessType.FINAL_ANSWER, final_answer_str)\n\n            # Check if we need to stop from external stop_event\n            if self.agent.stop_event.is_set():\n                observer.add_message(self.agent.agent_name, ProcessType.ERROR,\n                                     \"Agent execution interrupted by external stop signal\")\n        except Exception as e:\n            observer.add_message(agent_name=self.agent.agent_name, process_type=ProcessType.ERROR,\n                                 content=f\"Error in interaction: {str(e)}\")\n            raise ValueError(f\"Error in interaction: {str(e)}\")\n\n    def set_agent(self, agent: CoreAgent):\n        if not isinstance(agent, CoreAgent):\n            raise TypeError(f\"agent must be a CoreAgent object, not {type(agent)}\")\n        self.agent = agent\n"
  },
  {
    "path": "sdk/nexent/core/agents/run_agent.py",
    "content": "import asyncio\nimport logging\nfrom threading import Thread\nfrom typing import Any, Dict, Union\n\nfrom smolagents import ToolCollection\n\nfrom .agent_model import AgentRunInfo\nfrom .nexent_agent import NexentAgent, ProcessType\nfrom ...monitor import get_monitoring_manager\n\nlogger = logging.getLogger(\"run_agent\")\nlogger.setLevel(logging.DEBUG)\nmonitoring_manager = get_monitoring_manager()\n\n\ndef _detect_transport(url: str) -> str:\n    \"\"\"\n    Auto-detect MCP transport type based on URL format.\n\n    Args:\n        url: MCP server URL\n\n    Returns:\n        Transport type: 'sse' or 'streamable-http'\n    \"\"\"\n    url_stripped = url.strip()\n\n    # Check URL ending to determine transport type\n    if url_stripped.endswith(\"/sse\"):\n        return \"sse\"\n    elif url_stripped.endswith(\"/mcp\"):\n        return \"streamable-http\"\n\n    # Default to streamable-http for unrecognized formats\n    return \"streamable-http\"\n\n\ndef _normalize_mcp_config(mcp_host_item: Union[str, Dict[str, Any]]) -> Dict[str, Any]:\n    \"\"\"\n    Normalize MCP host configuration to a dictionary format.\n\n    Args:\n        mcp_host_item: Either a string URL or a dict with 'url', optional 'transport',\n                       and optional 'headers' or 'authorization'\n\n    Returns:\n        Dictionary with 'url', 'transport', and optionally 'headers' keys\n    \"\"\"\n    if isinstance(mcp_host_item, str):\n        url = mcp_host_item\n        transport = _detect_transport(url)\n        return {\"url\": url, \"transport\": transport}\n    elif isinstance(mcp_host_item, dict):\n        url = mcp_host_item.get(\"url\")\n        if not url:\n            raise ValueError(\"MCP host dict must contain 'url' key\")\n        transport = mcp_host_item.get(\"transport\")\n        if not transport:\n            transport = _detect_transport(url)\n        if transport not in (\"sse\", \"streamable-http\"):\n            raise ValueError(f\"Invalid transport type: {transport}. Must be 'sse' or 'streamable-http'\")\n\n        result = {\"url\": url, \"transport\": transport}\n\n        # Support authorization parameter - convert to headers format\n        if \"authorization\" in mcp_host_item and \"headers\" in mcp_host_item:\n            # Both provided: merge headers with authorization\n            headers = mcp_host_item[\"headers\"].copy() if isinstance(mcp_host_item[\"headers\"], dict) else {}\n            headers[\"Authorization\"] = mcp_host_item[\"authorization\"]\n            result[\"headers\"] = headers\n        elif \"authorization\" in mcp_host_item:\n            # Only authorization provided: create headers dict\n            result[\"headers\"] = {\"Authorization\": mcp_host_item[\"authorization\"]}\n        elif \"headers\" in mcp_host_item:\n            # Only headers provided: use as is\n            result[\"headers\"] = mcp_host_item[\"headers\"]\n\n        return result\n    else:\n        raise ValueError(f\"Invalid MCP host item type: {type(mcp_host_item)}. Must be str or dict\")\n\n\n@monitoring_manager.monitor_endpoint(\"agent_run_thread\", \"agent_run_thread\")\ndef agent_run_thread(agent_run_info: AgentRunInfo):\n    try:\n        mcp_host = agent_run_info.mcp_host\n        if mcp_host is None or len(mcp_host) == 0:\n            nexent = NexentAgent(\n                observer=agent_run_info.observer,\n                model_config_list=agent_run_info.model_config_list,\n                stop_event=agent_run_info.stop_event\n            )\n            agent = nexent.create_single_agent(agent_run_info.agent_config)\n            nexent.set_agent(agent)\n            nexent.add_history_to_agent(agent_run_info.history)\n            nexent.agent_run_with_observer(\n                query=agent_run_info.query, reset=False)\n        else:\n            agent_run_info.observer.add_message(\n                \"\", ProcessType.AGENT_NEW_RUN, \"<MCP_START>\")\n            # Normalize MCP host configurations to support both string and dict formats\n            mcp_client_list = [_normalize_mcp_config(item) for item in mcp_host]\n\n            with ToolCollection.from_mcp(mcp_client_list, trust_remote_code=True) as tool_collection:\n                nexent = NexentAgent(\n                    observer=agent_run_info.observer,\n                    model_config_list=agent_run_info.model_config_list,\n                    stop_event=agent_run_info.stop_event,\n                    mcp_tool_collection=tool_collection\n                )\n                agent = nexent.create_single_agent(agent_run_info.agent_config)\n                nexent.set_agent(agent)\n                nexent.add_history_to_agent(agent_run_info.history)\n                nexent.agent_run_with_observer(\n                    query=agent_run_info.query, reset=False)\n\n    except Exception as e:\n        if \"Couldn't connect to the MCP server\" in str(e):\n            mcp_connect_error_str = \"MCP服务器连接超时。\" if agent_run_info.observer.lang == \"zh\" else \"Couldn't connect to the MCP server.\"\n            agent_run_info.observer.add_message(\n                \"\", ProcessType.FINAL_ANSWER, mcp_connect_error_str)\n        else:\n            agent_run_info.observer.add_message(\n                \"\", ProcessType.FINAL_ANSWER, f\"Run Agent Error: {e}\")\n        raise ValueError(f\"Error in agent_run_thread: {e}\")\n\n\n@monitoring_manager.monitor_endpoint(\"agent_run\", \"agent_run\")\nasync def agent_run(agent_run_info: AgentRunInfo):\n    observer = agent_run_info.observer\n\n    monitoring_manager.add_span_event(\"agent_run.started\")\n    thread_agent = Thread(target=agent_run_thread, args=(agent_run_info,))\n    thread_agent.start()\n    monitoring_manager.add_span_event(\"agent_run.thread_started\")\n\n    while thread_agent.is_alive():\n        monitoring_manager.add_span_event(\"agent_run.get_cached_message\")\n        cached_message = observer.get_cached_message()\n        monitoring_manager.add_span_event(\n            \"agent_run.get_cached_message_completed\")\n        for message in cached_message:\n            yield message\n            monitoring_manager.add_span_event(\"agent_run.yield_message\")\n            # Prevent artificial slowdown of model streaming output\n            if len(cached_message) < 8:\n                # Ensure streaming output has some time interval\n                await asyncio.sleep(0.05)\n        await asyncio.sleep(0.1)\n\n    # Ensure all messages are sent\n    cached_message = observer.get_cached_message()\n    for message in cached_message:\n        yield message\n"
  },
  {
    "path": "sdk/nexent/core/models/__init__.py",
    "content": "from .openai_llm import OpenAIModel\nfrom .openai_vlm import OpenAIVLModel\nfrom .openai_long_context_model import OpenAILongContextModel\nfrom . import openai_llm, openai_vlm, openai_long_context_model\n\n__all__ = [\"OpenAIModel\", \"OpenAIVLModel\", \"OpenAILongContextModel\"]"
  },
  {
    "path": "sdk/nexent/core/models/embedding_model.py",
    "content": "import asyncio\nimport logging\nfrom abc import ABC, abstractmethod\nfrom typing import Any, Dict, List, Optional, Union\n\nimport requests\n\n\nclass BaseEmbedding(ABC):\n    \"\"\"\n    Abstract base class for embedding models, defining methods that all embedding models should implement.\n    \"\"\"\n\n    @abstractmethod\n    def __init__(\n        self,\n        model_name: str = None,\n        base_url: str = None,\n        api_key: str = None,\n        embedding_dim: int = None,\n        ssl_verify: bool = True,\n    ):\n        \"\"\"\n        Initialize the embedding model.\n\n        Args:\n            model_name: Name of the embedding model\n            base_url: Base URL of the embedding API\n            api_key: API key for the embedding API\n            embedding_dim: Dimension of the embedding vector\n            ssl_verify: Whether to verify SSL certificates for network requests\n        \"\"\"\n        pass\n\n    @abstractmethod\n    def get_embeddings(\n        self,\n        inputs: Union[str, List[str]],\n        with_metadata: bool = False,\n        timeout: Optional[float] = None,\n        retries: int = 3,\n        retry_timeout_step: float = 5.0,\n    ) -> Union[List[List[float]], Dict[str, Any]]:\n        \"\"\"\n        Get the embedding vectors for the input.\n\n        Args:\n            inputs: Objects to be embedded\n            with_metadata: Whether to return the full response with metadata\n            timeout: Base timeout in seconds for the first attempt. If None, uses retry_timeout_step.\n            retries: Number of retries on timeout (not counting the first attempt)\n            retry_timeout_step: Linear increment in seconds for each retry timeout\n\n        Returns:\n            If with_metadata is False, returns a list of embedding vectors; otherwise, returns a dictionary containing embeddings and metadata\n        \"\"\"\n        pass\n\n    @abstractmethod\n    async def dimension_check(self, timeout: float = 5.0) -> List[List[float]]:\n        \"\"\"\n        Test the connectivity to the embedding API, supporting timeout detection.\n\n        Args:\n            timeout: Timeout in seconds\n\n        Returns:\n            bool: Returns True if the connection is successful, False if it fails or times out\n        \"\"\"\n        pass\n\n\nclass TextEmbedding(BaseEmbedding):\n    \"\"\"\n    Abstract class for text embedding models, specifically handling the task of vectorizing text.\n    Input format is a string or an array of strings.\n    \"\"\"\n\n    @abstractmethod\n    def __init__(\n        self,\n        model_name: str = None,\n        base_url: str = None,\n        api_key: str = None,\n        embedding_dim: int = None,\n        ssl_verify: bool = True,\n    ):\n        super().__init__(model_name, base_url, api_key, embedding_dim, ssl_verify=ssl_verify)\n\n    @abstractmethod\n    def get_embeddings(\n        self,\n        inputs: Union[str, List[str]],\n        with_metadata: bool = False,\n        timeout: Optional[float] = None,\n        retries: int = 3,\n        retry_timeout_step: float = 5.0,\n    ) -> Union[List[List[float]], Dict[str, Any]]:\n        \"\"\"\n        Get the embedding vectors for text inputs.\n\n        Args:\n            inputs: A text string or a list of text strings\n            with_metadata: Whether to return the full response with metadata\n            timeout: Base timeout in seconds for the first attempt. If None, uses retry_timeout_step\n            retries: Number of retries on timeout (not counting the first attempt)\n            retry_timeout_step: Linear increment in seconds for each retry timeout\n\n        Returns:\n            If with_metadata is False, returns a list of embedding vectors; otherwise, returns a dictionary containing embeddings and metadata\n        \"\"\"\n        pass\n\n\nclass MultimodalEmbedding(BaseEmbedding):\n    \"\"\"\n    Abstract class for multimodal embedding models, capable of handling vectorization tasks for text, images, videos, etc.\n    Input format is a list of dictionaries containing type information List[Dict[str, str]].\n    \"\"\"\n\n    @abstractmethod\n    def __init__(\n        self,\n        model_name: str = None,\n        base_url: str = None,\n        api_key: str = None,\n        embedding_dim: int = None,\n        ssl_verify: bool = True,\n    ):\n        super().__init__(model_name, base_url, api_key, embedding_dim, ssl_verify=ssl_verify)\n\n    @abstractmethod\n    def get_multimodal_embeddings(\n        self,\n        inputs: List[Dict[str, str]],\n        with_metadata: bool = False,\n        timeout: Optional[float] = None,\n        retries: int = 3,\n        retry_timeout_step: float = 5.0,\n    ) -> Union[List[List[float]], Dict[str, Any]]:\n        \"\"\"\n        Get the embedding vectors for multimodal inputs.\n\n        Args:\n            inputs: A list of dictionaries containing type information, e.g., [{\"text\": \"content\"}, {\"image\": \"image URL\"}]\n            with_metadata: Whether to return the full response with metadata\n            timeout: Base timeout in seconds for the first attempt. If None, uses retry_timeout_step\n            retries: Number of retries on timeout (not counting the first attempt)\n            retry_timeout_step: Linear increment in seconds for each retry timeout\n\n        Returns:\n            If with_metadata is False, returns a list of embedding vectors; otherwise, returns a dictionary containing embeddings and metadata\n        \"\"\"\n        pass\n\n\nclass JinaEmbedding(MultimodalEmbedding):\n    def __init__(\n        self,\n        api_key: str,\n        base_url: str = \"https://api.jina.ai/v1/embeddings\",\n        model_name: str = \"jina-clip-v2\",\n        embedding_dim: int = 1024,\n        ssl_verify: bool = True,\n    ):\n        \"\"\"Initialize JinaEmbedding with configuration.\"\"\"\n        self.api_key = api_key\n        self.api_url = base_url\n        self.model = model_name\n        self.embedding_dim = embedding_dim\n        self.ssl_verify = ssl_verify\n\n        self.headers = {\"Content-Type\": \"application/json\", \"Authorization\": f\"Bearer {self.api_key}\"}\n\n    def _prepare_multimodal_input(self, inputs: List[Dict[str, str]]) -> Dict[str, Any]:\n        \"\"\"Prepare the input data for the API request.\"\"\"\n        return {\"model\": self.model, \"input\": inputs, \"truncate\": True}\n\n    def _make_request(self, data: Dict[str, Any], timeout: Optional[float] = None) -> Dict[str, Any]:\n        \"\"\"\n        Make the API request and return the response.\n\n        Args:\n            data: Request data\n            timeout: Timeout in seconds\n\n        Returns:\n            Dict[str, Any]: API response\n        \"\"\"\n        response = requests.post(self.api_url, headers=self.headers, json=data, timeout=timeout, verify=self.ssl_verify)\n        response.raise_for_status()\n        return response.json()\n\n    def get_embeddings(\n        self,\n        inputs: Union[str, List[str]],\n        with_metadata: bool = False,\n        timeout: Optional[float] = None,\n        retries: int = 3,\n        retry_timeout_step: float = 5.0,\n    ) -> Union[List[List[float]], Dict[str, Any]]:\n        \"\"\"\n        Get embeddings for text inputs.\n        Args:\n            inputs: A single text string or a list of text strings.\n            with_metadata: Whether to return the full response with metadata.\n            timeout: Base timeout in seconds for the first attempt. If None, uses retry_timeout_step.\n            retries: Number of retries on timeout (not counting the first attempt).\n            retry_timeout_step: Linear increment in seconds for each retry timeout.\n        Returns:\n            A list of embedding vectors, or a dictionary with metadata if with_metadata is True.\n        \"\"\"\n        if isinstance(inputs, str):\n            multimodal_inputs = [{\"text\": inputs}]\n        else:\n            multimodal_inputs = [{\"text\": item} for item in inputs]\n\n        base_timeout = timeout if timeout is not None else retry_timeout_step\n        attempts = retries + 1\n        last_timeout: Optional[requests.exceptions.Timeout] = None\n        for attempt_index in range(attempts):\n            current_timeout = base_timeout + attempt_index * retry_timeout_step\n            try:\n                return self.get_multimodal_embeddings(\n                    multimodal_inputs, with_metadata=with_metadata, timeout=current_timeout\n                )\n            except requests.exceptions.Timeout as e:\n                logging.warning(\n                    f\"JinaEmbedding API connection test timed out in {current_timeout}s ({attempt_index + 1}/{attempts})\"\n                )\n                last_timeout = e\n                if attempt_index == attempts - 1:\n                    logging.error(\"JinaEmbedding API connection test timed out.\")\n                    raise\n                continue\n\n        if last_timeout:\n            raise last_timeout\n        return []\n\n    def get_multimodal_embeddings(\n        self,\n        inputs: List[Dict[str, str]],\n        with_metadata: bool = False,\n        timeout: Optional[float] = None,\n        retries: int = 3,\n        retry_timeout_step: float = 5.0,\n    ) -> Union[List[List[float]], Dict[str, Any]]:\n        \"\"\"\n        Get embeddings for a list of inputs (text or image URLs).\n\n        Args:\n            inputs: List of dictionaries containing either 'text' or 'image' keys\n            with_metadata: Whether to return the full response with metadata or just a list of embedding vectors\n            timeout: Base timeout in seconds for the first attempt. If None, uses retry_timeout_step\n            retries: Number of retries on timeout (not counting the first attempt)\n            retry_timeout_step: Linear increment in seconds for each retry timeout\n\n        Returns:\n            List of embedding vectors\n\n        Example:\n            >>> jina = JinaEmbedding()\n            >>> inputs = [\n            ...     {\"text\": \"A beautiful sunset over the beach\"},\n            ...     {\"image\": \"https://example.com/image.jpg\"}\n            ... ]\n            >>> embeddings = jina.get_multimodal_embeddings(inputs)\n        \"\"\"\n        data = self._prepare_multimodal_input(inputs)\n\n        base_timeout = timeout if timeout is not None else retry_timeout_step\n        attempts = retries + 1\n        last_timeout: Optional[requests.exceptions.Timeout] = None\n        for attempt_index in range(attempts):\n            current_timeout = base_timeout + attempt_index * retry_timeout_step\n            try:\n                response = self._make_request(data, timeout=current_timeout)\n\n                if with_metadata:\n                    return response\n\n                embeddings = [item[\"embedding\"] for item in response[\"data\"]]\n                return embeddings\n            except requests.exceptions.Timeout as e:\n                logging.warning(\n                    f\"JinaEmbedding API connection test timed out in {current_timeout}s ({attempt_index + 1}/{attempts})\"\n                )\n                last_timeout = e\n                if attempt_index == attempts - 1:\n                    logging.error(\"JinaEmbedding API connection test timed out.\")\n                    raise\n                continue\n\n        if last_timeout:\n            raise last_timeout\n        return []\n\n    async def dimension_check(self, timeout: float = 5.0) -> List[List[float]]:\n        try:\n            # Create a simple test input\n            test_input = \"Hello, nexent!\"\n\n            # Try to get embedding vectors, setting a timeout\n            embeddings = await asyncio.to_thread(self.get_embeddings, test_input, timeout=timeout)\n\n            # If embedding vectors are successfully obtained, the connection is normal\n            return embeddings\n\n        except requests.exceptions.Timeout:\n            logging.error(f\"Embedding API connection test timed out ({timeout} seconds)\")\n            return []\n        except requests.exceptions.ConnectionError:\n            logging.error(\"Embedding API connection error, unable to establish connection\")\n            return []\n        except Exception as e:\n            logging.error(f\"Embedding API connection test failed: {str(e)}\")\n            return []\n\n\nclass OpenAICompatibleEmbedding(TextEmbedding):\n    def __init__(self, model_name: str, base_url: str, api_key: str, embedding_dim: int, ssl_verify: bool = True):\n        \"\"\"Initialize OpenAICompatibleEmbedding with configuration from environment variables or provided parameters.\"\"\"\n        self.api_key = api_key\n        self.api_url = base_url\n        self.model = model_name\n        self.embedding_dim = embedding_dim\n        self.ssl_verify = ssl_verify\n\n        self.headers = {\"Content-Type\": \"application/json\", \"Authorization\": f\"Bearer {self.api_key}\"}\n\n    def _prepare_input(self, inputs: Union[str, List[str]]) -> Dict[str, Any]:\n        \"\"\"Prepare the input data for the API request.\"\"\"\n        if isinstance(inputs, str):\n            inputs = [inputs]\n        return {\"model\": self.model, \"input\": inputs}\n\n    def _make_request(self, data: Dict[str, Any], timeout: Optional[float] = None) -> Dict[str, Any]:\n        \"\"\"\n        Make the API request and return the response.\n\n        Args:\n            data: Request data\n            timeout: Timeout in seconds\n\n        Returns:\n            Dict[str, Any]: API response\n        \"\"\"\n        response = requests.post(self.api_url, headers=self.headers, json=data, timeout=timeout, verify=self.ssl_verify)\n        response.raise_for_status()\n        return response.json()\n\n    def get_embeddings(\n        self,\n        inputs: Union[str, List[str]],\n        with_metadata: bool = False,\n        timeout: Optional[float] = None,\n        retries: int = 3,\n        retry_timeout_step: float = 5.0,\n    ) -> Union[List[List[float]], Dict[str, Any]]:\n        \"\"\"\n        Get embeddings for text inputs.\n\n        Args:\n            inputs: A single text string or a list of text strings\n            with_metadata: Whether to return the full response with metadata or just a list of embedding vectors\n            timeout: Base timeout in seconds for the first attempt. If None, uses retry_timeout_step.\n            retries: Number of retries on timeout (not counting the first attempt)\n            retry_timeout_step: Linear increment in seconds for each retry timeout\n\n        Returns:\n            List of embedding vectors, or a dictionary with metadata if with_metadata is True.\n        \"\"\"\n        data = self._prepare_input(inputs)\n\n        base_timeout = timeout if timeout is not None else retry_timeout_step\n        attempts = retries + 1\n        last_timeout: Optional[requests.exceptions.Timeout] = None\n        for attempt_index in range(attempts):\n            current_timeout = base_timeout + attempt_index * retry_timeout_step\n            try:\n                response = self._make_request(data, timeout=current_timeout)\n\n                if with_metadata:\n                    return response\n\n                embeddings = [item[\"embedding\"] for item in response[\"data\"]]\n                return embeddings\n            except requests.exceptions.Timeout as e:\n                logging.warning(\n                    f\"OpenAI API connection test timed out in {current_timeout}s ({attempt_index + 1}/{attempts})\"\n                )\n                last_timeout = e\n                if attempt_index == attempts - 1:\n                    logging.error(\"OpenAI API connection test timed out.\")\n                    raise\n                continue\n\n        if last_timeout:\n            raise last_timeout\n        return []\n\n    async def dimension_check(self, timeout: float = 5.0) -> List[List[float]]:\n        try:\n            # Create a simple test input\n            test_input = \"Hello, nexent!\"\n\n            # Try to get embedding vectors in a background thread, setting a timeout\n            embeddings = await asyncio.to_thread(self.get_embeddings, test_input, timeout=timeout)\n\n            # If embedding vectors are successfully obtained, the connection is normal\n            return embeddings\n\n        except requests.exceptions.Timeout:\n            logging.error(f\"OpenAI API connection test timed out ({timeout} seconds)\")\n            return []\n        except requests.exceptions.ConnectionError:\n            logging.error(\"OpenAI API connection error, unable to establish connection\")\n            return []\n        except Exception as e:\n            logging.error(f\"OpenAI API connection test failed: {str(e)}\")\n            return []\n"
  },
  {
    "path": "sdk/nexent/core/models/message_utils.py",
    "content": "from typing import Any, List\n\n\ndef _flatten_content(raw_content: Any) -> str:\n    \"\"\"\n    Convert structured content to plain text for providers with stricter schemas.\n    \"\"\"\n    if isinstance(raw_content, str):\n        return raw_content\n    if isinstance(raw_content, list):\n        parts: List[str] = []\n        for item in raw_content:\n            if isinstance(item, dict):\n                # Prefer explicit text field if present\n                if \"text\" in item and isinstance(item[\"text\"], str):\n                    parts.append(item[\"text\"])\n                elif \"content\" in item:\n                    parts.append(str(item[\"content\"]))\n                else:\n                    parts.append(str(item))\n            else:\n                parts.append(str(item))\n        return \"\".join(parts)\n    return \"\" if raw_content is None else str(raw_content)\n\n\ndef prepare_messages_for_completion(normalized_messages: List[Any], model_factory: str | None) -> List[Any]:\n    \"\"\"\n    Prepare messages for completion based on provider requirements.\n\n    - If `model_factory` is 'modelengine', returns a list of simple\n      {\"role\": ..., \"content\": \"...\"} dicts where content is flattened to string.\n    - Otherwise returns `normalized_messages` unchanged.\n\n    `normalized_messages` is expected to be a list of objects that expose\n    `.role` and `.content` attributes (e.g. ChatMessage) or dict-like objects.\n    \"\"\"\n    if not model_factory:\n        return normalized_messages\n    if (model_factory or \"\").lower() == \"modelengine\":\n        prepared: List[Any] = []\n        for msg in normalized_messages:\n            # support both attribute-style and dict-style messages\n            role = getattr(msg, \"role\", None) or (msg.get(\"role\") if isinstance(msg, dict) else None)\n            content = getattr(msg, \"content\", None) or (msg.get(\"content\") if isinstance(msg, dict) else None)\n            prepared.append({\"role\": role, \"content\": _flatten_content(content)})\n        return prepared\n    return normalized_messages\n\n\n"
  },
  {
    "path": "sdk/nexent/core/models/openai_llm.py",
    "content": "from ...monitor import get_monitoring_manager\nimport logging\nimport threading\nimport asyncio\nimport time\nfrom typing import List, Optional, Dict, Any\n\nfrom openai.types.chat.chat_completion_message import ChatCompletionMessage\nfrom smolagents import Tool\nfrom smolagents.models import OpenAIServerModel, ChatMessage, MessageRole\n\nfrom ..utils.observer import MessageObserver, ProcessType\nfrom .message_utils import prepare_messages_for_completion\n\nlogger = logging.getLogger(\"openai_llm\")\n\nclass OpenAIModel(OpenAIServerModel):\n    def __init__(self, observer: MessageObserver = MessageObserver, temperature=0.2, top_p=0.95,\n                 ssl_verify=True, model_factory: Optional[str] = None, *args, **kwargs):\n        \"\"\"\n        Initialize OpenAI Model with observer and SSL verification option.\n\n        Args:\n            observer: MessageObserver instance for tracking model output\n            temperature: Sampling temperature (default: 0.2)\n            top_p: Top-p sampling parameter (default: 0.95)\n            ssl_verify: Whether to verify SSL certificates (default: True).\n                       Set to False for local services without SSL support.\n            model_factory: Provider identifier (e.g., openai, modelengine)\n            *args: Additional positional arguments for OpenAIServerModel\n            **kwargs: Additional keyword arguments for OpenAIServerModel\n        \"\"\"\n        self.observer = observer\n        self.temperature = temperature\n        self.top_p = top_p\n        self.stop_event = threading.Event()\n        self._monitoring = get_monitoring_manager()\n        self.model_factory = (model_factory or \"\").lower()\n\n        # Create http_client based on ssl_verify parameter\n        if not ssl_verify:\n            from openai import DefaultHttpxClient\n            http_client = DefaultHttpxClient(verify=False)\n            client_kwargs = kwargs.get('client_kwargs', {})\n            client_kwargs['http_client'] = http_client\n            kwargs['client_kwargs'] = client_kwargs\n\n        super().__init__(*args, **kwargs)\n\n    @get_monitoring_manager().monitor_llm_call(\"openai_chat\", \"chat_completion\")\n    def __call__(self, messages: List[Dict[str, Any]], stop_sequences: Optional[List[str]] = None,\n                 response_format: dict[str, str] | None = None, tools_to_call_from: Optional[List[Tool]] = None, **kwargs, ) -> ChatMessage:\n        # Get token tracker from decorator (if monitoring is available)\n        token_tracker = kwargs.pop('_token_tracker', None)\n\n        # Normalize incoming messages so we can accept plain dict payloads like\n        # {\"role\": \"user\", \"content\": \"...\"} alongside ChatMessage instances.\n        normalized_messages: List[ChatMessage] = []\n        for msg in messages or []:\n            if isinstance(msg, ChatMessage):\n                normalized_messages.append(msg)\n            elif isinstance(msg, dict):\n                if \"role\" not in msg or \"content\" not in msg:\n                    raise ValueError(\"Each message dict must include 'role' and 'content'.\")\n                normalized_messages.append(ChatMessage.from_dict({\n                    \"role\": msg[\"role\"],\n                    \"content\": msg[\"content\"],\n                    \"tool_calls\": msg.get(\"tool_calls\"),\n                }))\n            else:\n                raise TypeError(\"Messages must be ChatMessage or dict objects.\")\n\n        # Prepare messages for completion according to provider requirements.\n        messages_for_completion = prepare_messages_for_completion(normalized_messages, self.model_factory)\n\n        # Add completion started event and model parameters\n        if token_tracker:\n            self._monitoring.add_span_event(\"completion_started\")\n            self._monitoring.set_span_attributes(\n                model_id=self.model_id,\n                temperature=self.temperature,\n                top_p=self.top_p,\n                message_count=len(messages_for_completion) if messages_for_completion else 0,\n                **{f\"llm.param.{k}\": v for k, v in kwargs.items() if isinstance(v, (str, int, float, bool))}\n            )\n\n        completion_kwargs = self._prepare_completion_kwargs(\n            messages=messages_for_completion, stop_sequences=stop_sequences,\n            response_format=response_format, tools_to_call_from=tools_to_call_from, model=self.model_id,\n            custom_role_conversions=self.custom_role_conversions, convert_images_to_image_urls=True,\n            temperature=self.temperature, top_p=self.top_p, **kwargs,\n        )\n\n        current_request = self.client.chat.completions.create(\n            stream=True, **completion_kwargs)\n        chunk_list = []\n        token_join = []\n        role = None\n\n        # Reset output mode\n        self.observer.current_mode = ProcessType.MODEL_OUTPUT_THINKING\n\n        # Track streaming metrics\n        stream_start_time = time.time()\n        first_token_received = False\n\n        try:\n            for chunk in current_request:\n                new_token = chunk.choices[0].delta.content\n                reasoning_content = getattr(\n                    chunk.choices[0].delta, 'reasoning_content', None)\n\n                # Handle reasoning_content if it exists and is not null\n                if reasoning_content is not None:\n                    self.observer.add_model_reasoning_content(\n                        reasoning_content)\n                    if token_tracker and not first_token_received:\n                        token_tracker.record_first_token()\n                        first_token_received = True\n\n                if new_token is not None:\n                    # Record first token timing\n                    if token_tracker and not first_token_received:\n                        token_tracker.record_first_token()\n                        first_token_received = True\n\n                    # Track each token\n                    if token_tracker:\n                        token_tracker.record_token(new_token)\n\n                    self.observer.add_model_new_token(new_token)\n                    token_join.append(new_token)\n                    role = chunk.choices[0].delta.role\n\n                chunk_list.append(chunk)\n                if self.stop_event.is_set():\n                    if token_tracker:\n                        self._monitoring.add_span_event(\"model_stopped\", {\n                            \"reason\": \"stop_event_set\"})\n                    raise RuntimeError(\n                        \"Model is interrupted by stop event\")\n\n            # Send end marker\n            self.observer.flush_remaining_tokens()\n            model_output = \"\".join(token_join)\n\n            # Extract token usage\n            input_tokens = 0\n            output_tokens = 0\n            if chunk_list and chunk_list[-1].usage is not None:\n                usage = chunk_list[-1].usage\n                input_tokens = usage.prompt_tokens\n                output_tokens = usage.completion_tokens if hasattr(\n                    usage, 'completion_tokens') else usage.total_tokens\n                self.last_input_token_count = input_tokens\n                self.last_output_token_count = output_tokens\n            else:\n                self.last_input_token_count = 0\n                self.last_output_token_count = 0\n\n            # Record completion metrics\n            if token_tracker:\n                token_tracker.record_completion(\n                    input_tokens, output_tokens)\n\n            if token_tracker:\n                total_duration = time.time() - stream_start_time\n                self._monitoring.add_span_event(\"completion_finished\", {\n                    \"total_duration\": total_duration,\n                    \"output_length\": len(model_output),\n                    \"chunk_count\": len(chunk_list)\n                })\n\n            message = ChatMessage.from_dict(\n                ChatCompletionMessage(role=role if role else \"assistant\",  # If there is no explicit role, default to \"assistant\"\n                                      content=model_output).model_dump(include={\"role\", \"content\", \"tool_calls\"}))\n\n            message.raw = current_request\n            message.role = MessageRole.ASSISTANT\n            return message\n\n        except Exception as e:\n            if token_tracker:\n                self._monitoring.add_span_event(\"error_occurred\", {\"error_type\": type(\n                    e).__name__, \"error_message\": str(e)})\n\n            if \"context_length_exceeded\" in str(e):\n                raise ValueError(f\"Token limit exceeded: {str(e)}\")\n            raise e\n\n    async def check_connectivity(self) -> bool:\n        \"\"\"\n        Test if the connection to the remote OpenAI large model service is normal\n\n        Returns:\n            bool: True if the connection is successful, False if it fails\n        \"\"\"\n        try:\n            # Construct a simple test message\n            test_message = [{\"role\": \"user\", \"content\": \"Hello\"}]\n\n            # Directly send a short chat request to test the connection\n            completion_kwargs = self._prepare_completion_kwargs(\n                messages=test_message,\n                model=self.model_id,\n                max_tokens=5,\n            )\n\n            # Offload the blocking SDK call to a thread pool to avoid blocking the event loop\n            await asyncio.to_thread(\n                self.client.chat.completions.create,\n                stream=False,\n                **completion_kwargs,\n            )\n\n            # If no exception is raised, the connection is successful\n            return True\n        except Exception as e:\n            logging.error(f\"Connection test failed: {str(e)}\")\n            return False\n"
  },
  {
    "path": "sdk/nexent/core/models/openai_long_context_model.py",
    "content": "from smolagents.models import ChatMessage\nimport tiktoken\nimport logging\n\nfrom ..models import OpenAIModel\nfrom ..utils.observer import MessageObserver\n\nlogger = logging.getLogger(\"openai_long_context_model\")\n\n\nclass OpenAILongContextModel(OpenAIModel):\n    \"\"\"\n    Long context model class, used to process large text files\n    Support automatic truncation of content exceeding context limits\n    \"\"\"\n    \n    def __init__(self, observer: MessageObserver, temperature=0.5, top_p=0.95,\n                 max_context_tokens=128000, truncation_strategy=\"start\", ssl_verify: bool = True, *args, **kwargs):\n        \"\"\"\n        Initialize the long context model\n        \n        Args:\n            observer: Message observer\n            temperature: Temperature parameter\n            top_p: top_p parameter\n            max_context_tokens: Maximum context token number, default is 128k\n            truncation_strategy: Truncation strategy\n                - \"start\": Only keep the beginning part\n                - \"middle\": Keep the beginning and end parts\n                - \"end\": Only keep the end part\n            *args, **kwargs: Other parameters\n        \"\"\"\n        super().__init__(observer=observer, temperature=temperature, top_p=top_p, ssl_verify=ssl_verify, *args, **kwargs)\n        self.max_context_tokens = max_context_tokens\n        if truncation_strategy not in [\"start\", \"middle\", \"end\"]:\n            raise ValueError(\"truncation_strategy must be 'start', 'middle' or 'end'\")\n        self.truncation_strategy = truncation_strategy\n        self._tokenizer = None\n    \n    def _get_tokenizer(self):\n        \"\"\"Get tokenizer, used to calculate token number\"\"\"\n        if self._tokenizer is None:\n            try:\n                self._tokenizer = tiktoken.get_encoding(\"cl100k_base\")\n            except ImportError:\n                # If there is no tiktoken, use simple character count estimation\n                self._tokenizer = None\n        return self._tokenizer\n    \n    def count_tokens(self, text: str) -> int:\n        \"\"\"\n        Calculate the token number of the text\n        \n        Args:\n            text: The text to calculate\n            \n        Returns:\n            int: token number\n        \"\"\"\n        tokenizer = self._get_tokenizer()\n        if tokenizer:\n            token_count = len(tokenizer.encode(text))\n            logger.debug(f\"Token count using tiktoken: {token_count} tokens for text length {len(text)}\")\n            return token_count\n        else:\n            # Simple character count estimation (approximately 4 characters = 1 token)\n            estimated_tokens = len(text) // 4\n            logger.debug(f\"Token count using estimation: {estimated_tokens} tokens for text length {len(text)} (4 chars ≈ 1 token)\")\n            return estimated_tokens\n    \n    def truncate_text(self, text: str, max_tokens: int) -> str:\n        \"\"\"\n        Truncate the text to the specified token number\n        \n        Args:\n            text: The text to truncate\n            max_tokens: Maximum token number\n            \n        Returns:\n            str: Truncated text\n        \"\"\"\n        original_tokens = self.count_tokens(text)\n        logger.info(f\"Starting text truncation: original_tokens={original_tokens}, max_tokens={max_tokens}, strategy={self.truncation_strategy}, text_length={len(text)}\")\n        \n        if original_tokens <= max_tokens:\n            return text\n\n        tokenizer = self._get_tokenizer()\n        \n        if tokenizer:\n            logger.debug(\"Using tiktoken tokenizer for precise truncation\")\n            # Use tiktoken for precise truncation\n            tokens = tokenizer.encode(text)\n            if len(tokens) <= max_tokens:\n                logger.debug(f\"Token count within limit after encoding: {len(tokens)} <= {max_tokens}\")\n                return text\n            \n            if self.truncation_strategy == \"start\":\n                # Only keep the beginning part\n                logger.info(f\"Truncating with 'start' strategy: keeping first {max_tokens} tokens\")\n                truncated_tokens = tokens[:max_tokens]\n                truncated_text = tokenizer.decode(truncated_tokens)\n            elif self.truncation_strategy == \"middle\":\n                # Keep the beginning and end,\n                half_tokens = max_tokens // 2\n                start_tokens = tokens[:half_tokens]\n                end_tokens = tokens[-(max_tokens - half_tokens):]\n                truncated_tokens = start_tokens + end_tokens\n                truncated_text = tokenizer.decode(truncated_tokens)\n            else:\n                # Only keep the end part\n                logger.info(f\"Truncating with 'end' strategy: keeping last {max_tokens} tokens\")\n                truncated_tokens = tokens[-max_tokens:]\n                truncated_text = tokenizer.decode(truncated_tokens)\n        else:\n            logger.warning(\"tiktoken not available, using character count estimation for truncation\")\n            # Use character count for estimation truncation\n            estimated_chars = max_tokens * 4\n            if len(text) <= estimated_chars:\n                logger.debug(f\"Text length within estimated limit: {len(text)} <= {estimated_chars} chars\")\n                return text\n            \n            if self.truncation_strategy == \"start\":\n                # Only keep the beginning part\n                truncated_text = text[:estimated_chars]\n            elif self.truncation_strategy == \"middle\":\n                # Keep the beginning and end\n                half_chars = estimated_chars // 2\n                start_text = text[:half_chars]\n                end_text = text[-(estimated_chars - half_chars):]\n                truncated_text = start_text + \"\\n\\n[Content truncated...]\\n\\n\" + end_text\n            else:  # end\n                # Only keep the end part\n                truncated_text = text[-estimated_chars:]\n\n        # Calculate retention percentage (integer only)\n        retention_percentage = int((len(truncated_text) / len(text)) * 100)\n        logger.info(f\"Truncation completed: {len(text)} -> {len(truncated_text)} characters, retained {retention_percentage}% of original content\")\n        return truncated_text\n    \n    def prepare_long_text_message(self, text_content: str, system_prompt: str, user_prompt: str):\n        \"\"\"\n        Prepare the message format containing long text, automatically handle truncation\n        \n        Args:\n            text_content: Text content\n            system_prompt: System prompt\n            user_prompt: User prompt\n            \n        Returns:\n            tuple[List[Dict[str, Any]], str]: Prepared message list and truncation percentage string\n        \"\"\"\n        logger.info(\"Preparing long text message with automatic truncation\")\n        \n        # Calculate the token number of the system prompt and user prompt\n        system_tokens = self.count_tokens(system_prompt)\n        user_prompt_tokens = self.count_tokens(user_prompt)\n        content_tokens = self.count_tokens(text_content)\n        \n        logger.info(f\"Token breakdown: system={system_tokens}, user_prompt={user_prompt_tokens}, content={content_tokens}, max_context={self.max_context_tokens}\")\n        logger.debug(f\"Text lengths: system={len(system_prompt)}, user_prompt={len(user_prompt)}, content={len(text_content)}\")\n        \n        # Reserve tokens for text content\n        available_tokens = self.max_context_tokens - system_tokens - user_prompt_tokens - 100  # Reserve 100 tokens as buffer\n        \n        # Check if there are sufficient tokens available\n        if available_tokens <= 0:\n            error_msg = f\"Insufficient tokens available. Required: {system_tokens + user_prompt_tokens + 100}, Available: {self.max_context_tokens}, Shortage: {abs(available_tokens)}\"\n            logger.error(error_msg)\n            raise ValueError(error_msg)\n        \n        # Truncate the text content\n        truncated_text = self.truncate_text(text_content, available_tokens)\n        final_content_tokens = self.count_tokens(truncated_text)\n        logger.info(f\"Content truncation result: {content_tokens} -> {final_content_tokens} tokens\")\n        \n        # Calculate truncation percentage\n        truncation_percentage = int((final_content_tokens / content_tokens) * 100) if content_tokens > 0 else 100\n        \n        # Build messages\n        messages = [\n            {\"role\": \"system\", \"content\": system_prompt},\n            {\"role\": \"user\", \"content\": f\"{user_prompt}\\n\\n{truncated_text}\"}\n        ]\n        \n        total_message_tokens = system_tokens + user_prompt_tokens + final_content_tokens\n        logger.info(f\"Message preparation completed: total_tokens={total_message_tokens}, messages_count={len(messages)}, truncation_percentage={truncation_percentage}%\")\n        \n        return messages, str(truncation_percentage)\n\n    def analyze_long_text(self, text_content: str, system_prompt: str, user_prompt: str) -> tuple[ChatMessage, str]:\n        \"\"\"\n        Analyze the long text content\n\n        Args:\n            text_content: Text content\n            system_prompt: System prompt\n            user_prompt: User prompt\n\n        Returns:\n            tuple[ChatMessage, str]: Model returned message and truncation percentage string\n        \"\"\"\n        logger.info(\"Starting long text analysis\")\n        logger.debug(f\"Input parameters: content_length={len(text_content)}, system_prompt_length={len(system_prompt)}, user_prompt_length={len(user_prompt)}\")\n        \n        try:\n            messages, truncation_percentage = self.prepare_long_text_message(text_content, system_prompt, user_prompt)\n            logger.info(\"Messages prepared successfully, calling model for analysis\")\n            \n            result = self(messages=messages)\n            logger.info(\"Long text analysis completed successfully\")\n            return result, truncation_percentage\n            \n        except Exception as e:\n            logger.error(f\"Error during long text analysis: {str(e)}\")\n            raise\n"
  },
  {
    "path": "sdk/nexent/core/models/openai_vlm.py",
    "content": "import base64\nimport os\nfrom typing import List, Dict, Any, Union, BinaryIO\n\nfrom smolagents.models import ChatMessage\n\nfrom ..models import OpenAIModel\nfrom ..utils.observer import MessageObserver\n\n\nclass OpenAIVLModel(OpenAIModel):\n    def __init__(\n        self,\n        observer: MessageObserver,\n        temperature: float = 0.7,\n        top_p: float = 0.7,\n        frequency_penalty: float = 0.5,\n        max_tokens: int = 512,\n        ssl_verify: bool = True,\n        *args,\n        **kwargs,\n    ):\n        \"\"\"\n        Initialize VLM model. Accepts `ssl_verify` and forwards it to parent.\n        \"\"\"\n        super().__init__(observer=observer, ssl_verify=ssl_verify, *args, **kwargs)\n        self.temperature = temperature\n        self.top_p = top_p\n        self.frequency_penalty = frequency_penalty\n        self.max_tokens = max_tokens\n        self._current_request = None  # Used to store the current request\n\n    async def check_connectivity(self) -> bool:\n        \"\"\"\n        Check the connectivity of the VLM model.\n\n        Returns:\n            bool: Returns True if the model can respond normally, otherwise returns False.\n        \"\"\"\n        try:\n            # Directly reuse the parent class's check_connectivity method\n            return await super().check_connectivity()\n        except Exception as e:\n            import logging\n            logging.error(f\"VLM connectivity check failed: {str(e)}\")\n            return False\n\n    def encode_image(self, image_input: Union[str, BinaryIO]) -> str:\n        \"\"\"\n        Encode an image file or file stream into a base64 string.\n\n        Args:\n            image_input: Image file path or file stream object.\n\n        Returns:\n            str: Base64 encoded image data.\n        \"\"\"\n        if isinstance(image_input, str):\n            with open(image_input, \"rb\") as image_file:\n                return base64.b64encode(image_file.read()).decode('utf-8')\n        else:\n            # For file stream objects, read directly\n            return base64.b64encode(image_input.read()).decode('utf-8')\n\n    def prepare_image_message(self, image_input: Union[str, BinaryIO], system_prompt: str = \"Describe this picture.\") -> \\\n    List[Dict[str, Any]]:\n        \"\"\"\n        Prepare a message format containing an image.\n\n        Args:\n            image_input: Image file path or file stream object.\n            system_prompt: System prompt.\n\n        Returns:\n            List[Dict[str, Any]]: Prepared message list.\n        \"\"\"\n        base64_image = self.encode_image(image_input)\n\n        # Detect image format\n        image_format = \"jpeg\"  # Default format\n        if isinstance(image_input, str) and os.path.exists(image_input):\n            _, ext = os.path.splitext(image_input)\n            if ext.lower() in ['.png', '.jpg', '.jpeg', '.gif', '.webp']:\n                image_format = ext.lower()[1:]  # Remove the dot\n                if image_format == 'jpg':\n                    image_format = 'jpeg'\n\n        messages = [{\"role\": \"system\", \"content\": [{\"text\": system_prompt, \"type\": \"text\"}]}, {\"role\": \"user\",\n            \"content\": [{\"type\": \"image_url\",\n                \"image_url\": {\"url\": f\"data:image/jpeg;base64,{base64_image}\", \"detail\": \"auto\"}}]}]\n\n        return messages\n\n    def analyze_image(self, image_input: Union[str, BinaryIO],\n            system_prompt: str = \"Please describe this picture concisely and carefully, within 200 words.\", stream: bool = True,\n            **kwargs) -> ChatMessage:\n        \"\"\"\n        Analyze image content.\n\n        Args:\n            image_input: Image file path or file stream object.\n            system_prompt: System prompt.\n            stream: Whether to output in streaming mode.\n            **kwargs: Other parameters.\n\n        Returns:\n            ChatMessage: Message returned by the model.\n        \"\"\"\n        messages = self.prepare_image_message(image_input, system_prompt)\n        return self(messages=messages, **kwargs)\n"
  },
  {
    "path": "sdk/nexent/core/models/stt_model.py",
    "content": "import asyncio\nimport datetime\nimport gzip\nimport json\nimport logging\nimport time\nimport uuid\nimport wave\nfrom enum import Enum\nfrom io import BytesIO\nfrom typing import Dict, Any\n\nimport aiofiles\nimport websockets\nfrom pydantic import BaseModel\n\nlogger = logging.getLogger(\"stt_model\")\n\n# Protocol constants\nPROTOCOL_VERSION = 0b0001\nDEFAULT_HEADER_SIZE = 0b0001\n\n# Message Type:\nCLIENT_FULL_REQUEST = 0b0001\nCLIENT_AUDIO_ONLY_REQUEST = 0b0010\nSERVER_FULL_RESPONSE = 0b1001\nSERVER_ACK = 0b1011\nSERVER_ERROR_RESPONSE = 0b1111\n\n# Message Type Specific Flags\nNO_SEQUENCE = 0b0000  # no check sequence\nPOS_SEQUENCE = 0b0001\nNEG_SEQUENCE = 0b0010\nNEG_WITH_SEQUENCE = 0b0011\nNEG_SEQUENCE_1 = 0b0011\n\n# Message Serialization\nNO_SERIALIZATION = 0b0000\nJSON = 0b0001\nTHRIFT = 0b0011\nCUSTOM_TYPE = 0b1111\n\n# Message Compression\nNO_COMPRESSION = 0b0000\nGZIP = 0b0001\nCUSTOM_COMPRESSION = 0b1111\n\n\nclass AudioType(Enum):\n    LOCAL = 1  # Use local audio file\n    STREAM = 2  # Use streaming audio\n\n\nclass STTConfig(BaseModel):\n    appid: str\n    token: str\n    ws_url: str = \"wss://openspeech.bytedance.com/api/v3/sauc/bigmodel\"\n    uid: str = \"streaming_asr_demo\"\n    format: str = \"pcm\"\n    rate: int = 16000\n    bits: int = 16\n    channel: int = 1\n    codec: str = \"raw\"\n    seg_duration: int = 10\n    mp3_seg_size: int = 1000\n    resourceid: str = \"volc.bigasr.sauc.duration\"\n    streaming: bool = True\n    compression: bool = True\n\n\nclass STTModel:\n    def __init__(self, config: STTConfig, test_voice_path: str):\n        \"\"\"\n        Initialize the STT Model.\n        \n        Args:\n            config: STT configuration\n            test_voice_path: Path to test voice file for connectivity testing\n        \"\"\"\n        self.config = config\n        self.test_voice_path = test_voice_path\n        self.success_code = 1000  # success code, default is 1000\n\n    def generate_header(self, message_type=CLIENT_FULL_REQUEST, message_type_specific_flags=NO_SEQUENCE,\n            serial_method=JSON, compression_type=None, reserved_data=0x00):\n        \"\"\"\n        Generate protocol header.\n        \n        Args:\n            message_type: Message type\n            message_type_specific_flags: Message type specific flags\n            serial_method: Serialization method\n            compression_type: Compression type (optional, uses config if None)\n            reserved_data: Reserved data\n            \n        Returns:\n            Header bytes\n        \"\"\"\n        # Use compression setting from config\n        if compression_type is None:\n            compression_type = GZIP if self.config.compression else NO_COMPRESSION\n\n        header = bytearray()\n        header_size = 1\n        header.append((PROTOCOL_VERSION << 4) | header_size)\n        header.append((message_type << 4) | message_type_specific_flags)\n        header.append((serial_method << 4) | compression_type)\n        header.append(reserved_data)\n        return header\n\n\n\n    @staticmethod\n    def generate_before_payload(sequence: int):\n        \"\"\"\n        Generate the payload prefix with sequence number.\n        \n        Args:\n            sequence: Sequence number\n            \n        Returns:\n            Payload prefix bytes\n        \"\"\"\n        before_payload = bytearray()\n        before_payload.extend(sequence.to_bytes(4, 'big', signed=True))  # sequence\n        return before_payload\n\n    @staticmethod\n    def parse_response(res):\n        \"\"\"\n        Parse response from server.\n        \n        Args:\n            res: Response bytes\n            \n        Returns:\n            Parsed response\n        \"\"\"\n        protocol_version = res[0] >> 4\n        header_size = res[0] & 0x0f\n        message_type = res[1] >> 4\n        message_type_specific_flags = res[1] & 0x0f\n        serialization_method = res[2] >> 4\n        message_compression = res[2] & 0x0f\n        reserved = res[3]\n        header_extensions = res[4:header_size * 4]\n        payload = res[header_size * 4:]\n        result = {'is_last_package': False, }\n        payload_msg = None\n        payload_size = 0\n\n        if message_type_specific_flags & 0x01:\n            # Receive frame with sequence\n            seq = int.from_bytes(payload[:4], \"big\", signed=True)\n            result['payload_sequence'] = seq\n            payload = payload[4:]\n\n        if message_type_specific_flags & 0x02:\n            # Receive last package\n            result['is_last_package'] = True\n\n        if message_type == SERVER_FULL_RESPONSE:\n            payload_size = int.from_bytes(payload[:4], \"big\", signed=True)\n            payload_msg = payload[4:]\n        elif message_type == SERVER_ACK:\n            seq = int.from_bytes(payload[:4], \"big\", signed=True)\n            result['seq'] = seq\n            if len(payload) >= 8:\n                payload_size = int.from_bytes(payload[4:8], \"big\", signed=False)\n                payload_msg = payload[8:]\n        elif message_type == SERVER_ERROR_RESPONSE:\n            code = int.from_bytes(payload[:4], \"big\", signed=False)\n            result['code'] = code\n            payload_size = int.from_bytes(payload[4:8], \"big\", signed=False)\n            payload_msg = payload[8:]\n\n        if payload_msg is None:\n            return result\n\n        if message_compression == GZIP:\n            payload_msg = gzip.decompress(payload_msg)\n\n        if serialization_method == JSON:\n            payload_msg = json.loads(str(payload_msg, \"utf-8\"))\n        elif serialization_method != NO_SERIALIZATION:\n            payload_msg = str(payload_msg, \"utf-8\")\n\n        result['payload_msg'] = payload_msg\n        result['payload_size'] = payload_size\n        return result\n\n    @staticmethod\n    def read_wav_info(data: bytes = None) -> tuple[int, int, int, int, bytes]:\n        \"\"\"\n        Read WAV file information.\n        \n        Args:\n            data: WAV file data\n            \n        Returns:\n            Tuple of (channels, sample width, frame rate, frames, wave bytes)\n        \"\"\"\n        with BytesIO(data) as _f:\n            wave_fp = wave.open(_f, 'rb')\n            nchannels, sampwidth, framerate, nframes = wave_fp.getparams()[:4]\n            wave_bytes = wave_fp.readframes(nframes)\n        return nchannels, sampwidth, framerate, nframes, wave_bytes\n\n    @staticmethod\n    def slice_data(data: bytes, chunk_size: int):\n        \"\"\"\n        Slice data into chunks.\n        \n        Args:\n            data: Data to slice\n            chunk_size: Chunk size\n            \n        Yields:\n            Tuple of (chunk, last flag)\n        \"\"\"\n        data_len = len(data)\n        offset = 0\n        while offset + chunk_size < data_len:\n            yield data[offset: offset + chunk_size], False\n            offset += chunk_size\n        else:\n            yield data[offset: data_len], True\n\n    def construct_request(self, reqid):\n        \"\"\"\n        Construct request parameters.\n        \n        Args:\n            reqid: Request ID\n            \n        Returns:\n            Request parameters dict\n        \"\"\"\n        req = {\"user\": {\"uid\": self.config.uid, },\n            \"audio\": {'format': self.config.format, \"sample_rate\": self.config.rate, \"bits\": self.config.bits,\n                \"channel\": self.config.channel, \"codec\": self.config.codec, },\n            \"request\": {\"model_name\": \"bigmodel\", \"enable_punc\": True, # \"result_type\": \"single\",\n                # \"vad_segment_duration\": 800,\n            }}\n        logger.info(f\"req: {req}\\n\")\n        return req\n\n    async def process_audio_data(self, audio_data: bytes, segment_size: int) -> Dict[str, Any]:\n        \"\"\"\n        Process audio data and perform speech recognition.\n        \n        Args:\n            audio_data: Audio data bytes\n            segment_size: Segment size\n            \n        Returns:\n            Recognition result\n        \"\"\"\n        reqid = str(uuid.uuid4())\n        seq = 1\n\n        # Construct full client request, then serialize and compress\n        request_params = self.construct_request(reqid)\n        payload_bytes = str.encode(json.dumps(request_params))\n\n        # According to config, decide whether to compress\n        if self.config.compression:\n            payload_bytes = gzip.compress(payload_bytes)\n\n        full_client_request = bytearray(self.generate_header(message_type_specific_flags=POS_SEQUENCE))\n        full_client_request.extend(self.generate_before_payload(sequence=seq))\n        full_client_request.extend((len(payload_bytes)).to_bytes(4, 'big'))  # Payload size (4 bytes)\n        full_client_request.extend(payload_bytes)  # payload\n\n        # Prepare headers\n        header = {\"X-Api-Resource-Id\": self.config.resourceid, \"X-Api-Connect-Id\": reqid}\n\n        if self.config.token:\n            header[\"X-Api-Access-Key\"] = self.config.token\n\n        if self.config.appid:\n            header[\"X-Api-App-Key\"] = self.config.appid\n\n        logger.info(f\"Connecting to {self.config.ws_url} with headers: {header}\")\n\n        try:\n            # Fix: Use additional_headers instead of extra_headers for websockets 15.0.1+\n            async with websockets.connect(self.config.ws_url, additional_headers=header, max_size=1000000000) as ws:\n                # Send full client request\n                await ws.send(full_client_request)\n                res = await ws.recv()\n                if hasattr(ws, 'response_headers'):\n                    logger.info(f\"Response headers: {ws.response_headers}\")\n                result = self.parse_response(res)\n                logger.info(f\"Initial response: {result}\")\n\n                for _, (chunk, last) in enumerate(self.slice_data(audio_data, segment_size), 1):\n                    seq += 1\n                    if last:\n                        seq = -seq\n\n                    start = time.time()\n\n                    # According to config, decide whether to compress\n                    if self.config.compression:\n                        payload_bytes = gzip.compress(chunk)\n                    else:\n                        payload_bytes = chunk\n\n                    if last:\n                        audio_only_request = bytearray(self.generate_header(message_type=CLIENT_AUDIO_ONLY_REQUEST,\n                            message_type_specific_flags=NEG_WITH_SEQUENCE))\n                    else:\n                        audio_only_request = bytearray(self.generate_header(message_type=CLIENT_AUDIO_ONLY_REQUEST,\n                            message_type_specific_flags=POS_SEQUENCE))\n\n                    audio_only_request.extend(self.generate_before_payload(sequence=seq))\n                    audio_only_request.extend((len(payload_bytes)).to_bytes(4, 'big'))  # Payload size (4 bytes)\n                    audio_only_request.extend(payload_bytes)  # payload\n\n                    # Send audio-only client request\n                    await ws.send(audio_only_request)\n                    res = await ws.recv()\n                    result = self.parse_response(res)\n\n                    logger.info(f\"{datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S.%f')}, seq: {seq}, result: {result}\")\n\n                    if self.config.streaming:\n                        sleep_time = max(0.0, self.config.seg_duration / 1000.0 - (time.time() - start))\n                        await asyncio.sleep(sleep_time)\n\n            return result\n\n        except websockets.exceptions.ConnectionClosedError as e:\n            logger.error(f\"WebSocket connection closed with status code: {e.code}\")\n            logger.error(f\"WebSocket connection closed with reason: {e.reason}\")\n            return {\"error\": f\"Connection closed: {e.reason}\"}\n\n        except websockets.exceptions.WebSocketException as e:\n            logger.error(f\"WebSocket connection failed: {e}\")\n            if hasattr(e, \"status_code\"):\n                logger.error(f\"Response status code: {e.status_code}\")\n            if hasattr(e, \"headers\"):\n                logger.error(f\"Response headers: {e.headers}\")\n            if hasattr(e, \"response\") and hasattr(e.response, \"text\"):\n                logger.error(f\"Response body: {e.response.text}\")\n            return {\"error\": f\"WebSocket error: {str(e)}\"}\n\n        except Exception as e:\n            logger.error(f\"Unexpected error: {e}\")\n            import traceback\n            traceback.print_exc()\n            return {\"error\": f\"Unexpected error: {str(e)}\"}\n\n    async def process_audio_file(self, audio_path: str) -> Dict[str, Any]:\n        \"\"\"\n        Process audio file and perform speech recognition.\n        \n        Args:\n            audio_path: Path to audio file\n            \n        Returns:\n            Recognition result\n        \"\"\"\n        async with aiofiles.open(audio_path, mode=\"rb\") as _f:\n            data = await _f.read()\n        audio_data = bytes(data)\n\n        if self.config.format == \"mp3\":\n            segment_size = self.config.mp3_seg_size\n            return await self.process_audio_data(audio_data, segment_size)\n\n        if self.config.format == \"wav\":\n            nchannels, sampwidth, framerate, nframes, wav_bytes = self.read_wav_info(audio_data)\n            size_per_sec = nchannels * sampwidth * framerate\n            segment_size = int(size_per_sec * self.config.seg_duration / 1000)\n            return await self.process_audio_data(audio_data, segment_size)\n\n        if self.config.format == \"pcm\":\n            segment_size = int(self.config.rate * 2 * self.config.channel * self.config.seg_duration / 500)\n            return await self.process_audio_data(audio_data, segment_size)\n\n        raise Exception(\"Unsupported format, only wav, mp3, and pcm are supported\")\n\n    async def process_streaming_audio(self, ws_client, segment_size: int):\n        \"\"\"\n        Process streaming audio from WebSocket client and send transcription back.\n        \n        Args:\n            ws_client: Client WebSocket connection\n            segment_size: Audio segment size\n            \n        Returns:\n            None\n        \"\"\"\n        logger.info(\"Starting audio processing loop...\")\n        reqid = str(uuid.uuid4())\n        seq = 1\n        client_connected = True  # Track client connection status\n\n        # Construct full client request\n        request_params = self.construct_request(reqid)\n        payload_bytes = str.encode(json.dumps(request_params))\n\n        # According to config, decide whether to compress\n        if self.config.compression:\n            payload_bytes = gzip.compress(payload_bytes)\n\n        # Generate request header, pass None to let the function decide compression_type based on config\n        full_client_request = bytearray(self.generate_header(message_type_specific_flags=POS_SEQUENCE))\n        full_client_request.extend(self.generate_before_payload(sequence=seq))\n        full_client_request.extend((len(payload_bytes)).to_bytes(4, 'big'))  # Payload size (4 bytes)\n        full_client_request.extend(payload_bytes)  # payload\n\n        # Prepare headers\n        header = {\"X-Api-Resource-Id\": self.config.resourceid, \"X-Api-Request-Id\": reqid}\n\n        if self.config.token:\n            header[\"X-Api-Access-Key\"] = self.config.token\n\n        if self.config.appid:\n            header[\"X-Api-App-Key\"] = self.config.appid\n\n        logger.info(f\"Config: {self.config}\")\n\n        try:\n            # Connect to STT service\n            logger.info(f\"Connecting to STT WebSocket service at {self.config.ws_url}...\")\n            # Fix: Use additional_headers instead of extra_headers for websockets 15.0.1+\n            async with websockets.connect(self.config.ws_url, additional_headers=header,\n                                          max_size=1000000000) as ws_server:\n                logger.info(\"Connected to STT service\")\n                if hasattr(ws_server, 'response_headers'):\n                    logger.info(f\"Response headers: {ws_server.response_headers}\")\n\n                # Send initial request\n                logger.info(\"Sending initial request...\")\n                await ws_server.send(full_client_request)\n                logger.info(\"Waiting for response...\")\n                response = await ws_server.recv()\n                result = self.parse_response(response)\n                logger.info(f\"Initial response received\")\n\n                # Tell client we're ready to receive audio\n                logger.info(\"Sending ready status to client...\")\n                try:\n                    await ws_client.send_json({\"status\": \"ready\"})\n                except Exception as e:\n                    logger.error(f\"Client disconnected: {e}\")\n                    client_connected = False\n                    return\n\n                # Process streaming audio chunks\n                counter = 0\n                last_chunk_received = False\n\n                while client_connected:\n                    # Listen for audio data from client\n                    try:\n                        client_data = await ws_client.receive_bytes()\n                    except Exception as e:\n                        logger.error(f\"Error receiving audio data: {str(e)}\")\n                        client_connected = False\n                        break\n\n                    if not client_data:\n                        logger.info(\"Received empty audio data, indicating end of stream\")\n                        last_chunk_received = True\n                        # Send a small empty buffer as the final chunk\n                        client_data = bytes(0)\n\n                    # Next sequence number\n                    seq += 1\n\n                    # Only use negative sequence for explicitly marked last chunk\n                    if last_chunk_received:\n                        seq = -abs(seq)  # Make sequence negative for last chunk\n                        logger.info(\"This is the final chunk, using negative sequence\")\n\n                        audio_only_request = bytearray(self.generate_header(message_type=CLIENT_AUDIO_ONLY_REQUEST,\n                            message_type_specific_flags=NEG_WITH_SEQUENCE))\n                    else:\n                        audio_only_request = bytearray(self.generate_header(message_type=CLIENT_AUDIO_ONLY_REQUEST,\n                            message_type_specific_flags=POS_SEQUENCE))\n\n                    # According to config, decide whether to compress\n                    if self.config.compression:\n                        payload_bytes = gzip.compress(client_data)\n                    else:\n                        payload_bytes = client_data\n\n                    audio_only_request.extend(self.generate_before_payload(sequence=seq))\n                    audio_only_request.extend((len(payload_bytes)).to_bytes(4, 'big'))  # Payload size (4 bytes)\n                    audio_only_request.extend(payload_bytes)  # payload\n\n                    # Send to STT service\n                    logger.info(f\"Sending audio chunk {counter + 1} to STT service ({len(audio_only_request)} bytes)...\")\n                    try:\n                        await ws_server.send(audio_only_request)\n                    except Exception as e:\n                        logger.error(f\"Error sending to STT service: {e}\")\n                        if client_connected:\n                            try:\n                                await ws_client.send_json({\"error\": f\"STT service error: {str(e)}\"})\n                                client_connected = False\n                            except Exception:\n                                pass\n                        break\n\n                    # Get response and parse\n                    try:\n                        response = await ws_server.recv()\n                        result = self.parse_response(response)\n                        result_text = \"empty\"\n                        try:\n                            result_text = result['payload_msg']['result']['text'] if result['payload_msg']['result'][\n                                'text'] else \"empty\"\n                        except Exception:\n                            logger.error(f\"Malformed result: {result}\")\n                        logger.info(f\"Received response: {result_text}\")\n\n                        # Send result back to client\n                        if client_connected and 'payload_msg' in result:\n                            payload = result['payload_msg']\n\n                            # Fix empty text results by adding a status indicator\n                            if 'result' in payload and 'text' in payload['result'] and not payload['result']['text']:\n                                payload['status'] = 'processing'\n\n                            try:\n                                await ws_client.send_json(payload)\n                            except Exception as e:\n                                logger.error(f\"Client disconnected while sending result: {e}\")\n                                client_connected = False\n                                break\n                        elif client_connected:\n                            logger.info(\"Sending processing status to client\")\n                            try:\n                                await ws_client.send_json({\"status\": \"processing\"})\n                            except Exception as e:\n                                logger.error(f\"Client disconnected while sending status: {e}\")\n                                client_connected = False\n                                break\n                    except websockets.exceptions.ConnectionClosed as e:\n                        logger.error(f\"STT service connection closed: {e}\")\n                        if last_chunk_received:\n                            logger.error(\"Expected closure after final chunk\")\n                            break\n                        elif client_connected:\n                            try:\n                                await ws_client.send_json({\"error\": f\"STT service connection closed unexpectedly: {e}\"})\n                                client_connected = False\n                            except Exception:\n                                pass\n                            break\n\n                    counter += 1\n\n                    # Exit after processing the last chunk\n                    if last_chunk_received:\n                        logger.info(\"Last chunk processed, exiting loop\")\n                        break\n\n                    # Simulate real-time processing if needed\n                    if self.config.streaming:\n                        sleep_time = max(0, (self.config.seg_duration / 1000.0))\n                        await asyncio.sleep(sleep_time)\n\n        except websockets.exceptions.ConnectionClosedError as e:\n            error_msg = f\"WebSocket connection closed: {e.reason} (code: {e.code})\"\n            logger.error(f\"{error_msg}\")\n            if client_connected:\n                try:\n                    await ws_client.send_json({\"error\": error_msg})\n                except Exception:\n                    logger.error(\"Cannot send error message: client disconnected\")\n\n        except websockets.exceptions.WebSocketException as e:\n            error_msg = f\"WebSocket error: {str(e)}\"\n            logger.error(f\"{error_msg}\")\n            if client_connected:\n                try:\n                    await ws_client.send_json({\"error\": error_msg})\n                except Exception:\n                    logger.error(\"Cannot send error message: client disconnected\")\n\n        except Exception as e:\n            error_msg = f\"Error in streaming session: {str(e)}\"\n            logger.error(f\"{error_msg}\")\n            import traceback\n            traceback.print_exc()\n            if client_connected:\n                try:\n                    await ws_client.send_json({\"error\": error_msg})\n                except Exception:\n                    logger.error(\"Cannot send error message: client disconnected\")\n\n        finally:\n            logger.info(\"Audio processing loop ended\")\n\n    async def start_streaming_session(self, ws_client):\n        \"\"\"\n        Start a streaming session for real-time STT.\n        \n        Args:\n            ws_client: Client WebSocket connection\n            \n        Returns:\n            None\n        \"\"\"\n        logger.info(\"Preparing streaming session...\")\n        # Calculate segment size based on audio parameters\n        segment_size = int(self.config.rate * self.config.bits * self.config.channel / 8 * 0.1)  # 100ms chunk\n        logger.info(f\"Using segment size: {segment_size} bytes (100ms of audio)\")\n\n        try:\n            # Process streaming audio\n            await self.process_streaming_audio(ws_client, segment_size)\n\n        except Exception as e:\n            error_msg = f\"Error in streaming session: {str(e)}\"\n            logger.error(f\"{error_msg}\")\n            import traceback\n            traceback.print_exc()\n            await ws_client.send_json({\"error\": error_msg})\n\n    async def recognize_file(self, audio_path: str) -> Dict[str, Any]:\n        \"\"\"\n        Recognize speech from audio file.\n        \n        Args:\n            audio_path: Path to audio file\n            \n        Returns:\n            Recognition result\n        \"\"\"\n        return await self.process_audio_file(audio_path)\n\n    async def check_connectivity(self) -> bool:\n        \"\"\"\n        Test if the connection to the remote STT service is normal\n            \n        Returns:\n            bool: True if connection successful, False otherwise\n        \"\"\"\n        try:\n            logger.info(f\"STT connectivity test started with config: ws_url={self.config.ws_url}, format={self.config.format}\")\n            logger.info(f\"Test voice file path: {self.test_voice_path}\")\n            \n            result = await self.process_audio_file(self.test_voice_path)\n            logger.info(f\"STT process_audio_file result: {result}\")\n            \n            # Check if the return result indicates success\n            is_success = self._is_stt_result_successful(result)\n            \n            if is_success:\n                logger.info(\"STT connectivity test successful\")\n            else:\n                error_msg = self._extract_stt_error_message(result)\n                logger.error(f\"STT connectivity test failed with error: {error_msg}\")\n            \n            return is_success\n        except Exception as e:\n            logger.error(f\"STT connectivity test failed with exception: {str(e)}\")\n            import traceback\n            logger.error(f\"STT connectivity test exception traceback: {traceback.format_exc()}\")\n            return False\n\n    def _is_stt_result_successful(self, result) -> bool:\n        \"\"\"\n        Check if STT result indicates a successful recognition\n        \n        Args:\n            result: STT processing result\n            \n        Returns:\n            bool: True if successful, False otherwise\n        \"\"\"\n        if not isinstance(result, dict) or not result:\n            return False\n            \n        # Check for direct error field\n        if 'error' in result:\n            return False\n            \n        # Check for error code (STT service uses codes like 45000081 for errors)\n        if 'code' in result and result['code'] != 1000:  # 1000 is success code\n            return False\n            \n        # Check for nested error in payload_msg\n        if 'payload_msg' in result and isinstance(result['payload_msg'], dict):\n            if 'error' in result['payload_msg']:\n                return False\n                \n        # For a successful STT result, we expect either:\n        # 1. A payload_msg with result.text, or\n        # 2. No error indicators\n        payload_msg = result.get('payload_msg', {})\n        if isinstance(payload_msg, dict):\n            # If there's a result field, check if it contains valid text\n            if 'result' in payload_msg:\n                return True  # Even empty text can be valid for connectivity test\n                \n        # If no obvious errors and it's a valid dict, consider it successful\n        return True\n\n    def _extract_stt_error_message(self, result) -> str:\n        \"\"\"\n        Extract error message from STT result\n        \n        Args:\n            result: STT processing result\n            \n        Returns:\n            str: Error message\n        \"\"\"\n        if not isinstance(result, dict):\n            return f\"Invalid result type: {type(result)}\"\n            \n        # Check for direct error field\n        if 'error' in result:\n            return str(result['error'])\n            \n        # Check for error code with message\n        if 'code' in result and result['code'] != 1000:\n            error_msg = f\"STT service error code: {result['code']}\"\n            if 'payload_msg' in result and isinstance(result['payload_msg'], dict):\n                if 'error' in result['payload_msg']:\n                    error_msg += f\" - {result['payload_msg']['error']}\"\n            return error_msg\n            \n        # Check for nested error in payload_msg\n        if 'payload_msg' in result and isinstance(result['payload_msg'], dict):\n            if 'error' in result['payload_msg']:\n                return str(result['payload_msg']['error'])\n                \n        return f\"Unknown error in result: {result}\"\n\n\nasync def process_audio_item(audio_item: Dict[str, Any], config: STTConfig, test_voice_path: str) -> Dict[str, Any]:\n    \"\"\"\n    Process an audio item with the STT model.\n    \n    Args:\n        audio_item: Audio item with 'id' and 'path' keys\n        config: STT configuration\n        test_voice_path: Path to test voice file for connectivity testing\n        \n    Returns:\n        Recognition result with id and path\n    \"\"\"\n    assert 'id' in audio_item\n    assert 'path' in audio_item\n\n    audio_id = audio_item['id']\n    audio_path = audio_item['path']\n\n    stt_model = STTModel(config, test_voice_path)\n    result = await stt_model.recognize_file(audio_path)\n\n    return {\"id\": audio_id, \"path\": audio_path, \"result\": result}\n"
  },
  {
    "path": "sdk/nexent/core/models/tts_model.py",
    "content": "import copy\nimport gzip\nimport io\nimport json\nimport uuid\nfrom dataclasses import dataclass\nfrom typing import Optional, Union, AsyncGenerator, Dict, Any\n\nimport websockets\n\n@dataclass\nclass TTSConfig:\n    appid: str\n    token: str\n    cluster: str\n    voice_type: str\n    speed_ratio: float\n    host: str = \"openspeech.bytedance.com\"\n\n    @property\n    def api_url(self) -> str:\n        return f\"wss://{self.host}/api/v1/tts/ws_binary\"\n\n\nclass TTSModel:\n    # Message type constants\n    MESSAGE_TYPES = {11: \"audio-only server response\", 12: \"frontend server response\", 15: \"error message from server\"}\n    MESSAGE_TYPE_SPECIFIC_FLAGS = {0: \"no sequence number\", 1: \"sequence number > 0\",\n                                   2: \"last message from server (seq < 0)\", 3: \"sequence number < 0\"}\n    MESSAGE_SERIALIZATION_METHODS = {0: \"no serialization\", 1: \"JSON\", 15: \"custom type\"}\n    MESSAGE_COMPRESSIONS = {0: \"no compression\", 1: \"gzip\", 15: \"custom compression method\"}\n\n    # Default binary header\n    DEFAULT_HEADER = bytearray(b'\\x11\\x10\\x11\\x00')\n\n    def __init__(self, config: TTSConfig):\n        self.config = config\n        self._request_template = {\"app\": {\"appid\": config.appid, \"token\": config.token, \"cluster\": config.cluster},\n            \"user\": {\"uid\": \"388808087185088\"},\n            \"audio\": {\"voice_type\": config.voice_type, \"encoding\": \"mp3\", \"speed_ratio\": config.speed_ratio,\n                \"volume_ratio\": 1.0, \"pitch_ratio\": 1.0, },\n            \"request\": {\"reqid\": \"xxx\", \"text\": \"\", \"text_type\": \"plain\", \"operation\": \"xxx\"}}\n\n    def _prepare_request(self, text: str, operation: str = \"submit\") -> bytes:\n        \"\"\"Prepare the binary request payload\"\"\"\n        request_json = copy.deepcopy(self._request_template)\n        request_json[\"request\"][\"reqid\"] = str(uuid.uuid4())\n        request_json[\"request\"][\"text\"] = text\n        request_json[\"request\"][\"operation\"] = operation\n\n        payload_bytes = str.encode(json.dumps(request_json))\n        payload_bytes = gzip.compress(payload_bytes)\n\n        full_request = bytearray(self.DEFAULT_HEADER)\n        full_request.extend(len(payload_bytes).to_bytes(4, 'big'))\n        full_request.extend(payload_bytes)\n\n        return bytes(full_request)\n\n    def _parse_response(self, res: bytes, buffer: Optional[io.BytesIO] = None) -> tuple[bool, Optional[bytes]]:\n        \"\"\"Parse server response and return (is_done, audio_chunk)\"\"\"\n        protocol_version = res[0] >> 4\n        header_size = res[0] & 0x0f\n        message_type = res[1] >> 4\n        message_type_specific_flags = res[1] & 0x0f\n        payload = res[header_size * 4:]\n\n        if message_type == 0xb:  # audio-only server response\n            if message_type_specific_flags == 0:\n                return False, None\n\n            sequence_number = int.from_bytes(payload[:4], \"big\", signed=True)\n            payload_size = int.from_bytes(payload[4:8], \"big\", signed=False)\n            audio_chunk = payload[8:]\n\n            if buffer is not None:\n                buffer.write(audio_chunk)\n\n            return sequence_number < 0, audio_chunk\n\n        elif message_type == 0xf:  # error message\n            code = int.from_bytes(payload[:4], \"big\", signed=False)\n            error_msg = payload[8:]\n            if (res[2] & 0x0f) == 1:  # if compressed\n                error_msg = gzip.decompress(error_msg)\n            raise Exception(f\"TTS Error {code}: {error_msg.decode('utf-8')}\")\n\n        return True, None\n\n    async def generate_speech(self, text: str, stream: bool = False) -> Union[bytes, AsyncGenerator[bytes, None]]:\n        \"\"\"\n        Generate speech from text. Returns either complete audio bytes or an async generator of audio chunks.\n        \n        Args:\n            text: Input text to synthesize\n            stream: If True, return an async generator of audio chunks. If False, return complete audio bytes.\n            \n        Returns:\n            Union[bytes, AsyncGenerator[bytes, None]]: Audio data either as complete bytes or streaming chunks\n        \"\"\"\n        request = self._prepare_request(text)\n        headers = {\"Authorization\": f\"Bearer; {self.config.token}\"}\n\n        if not stream:\n            buffer = io.BytesIO()\n            async with websockets.connect(self.config.api_url, additional_headers=headers, ping_interval=None) as ws:\n                await ws.send(request)\n                while True:\n                    response = await ws.recv()\n                    done, _ = self._parse_response(response, buffer)\n                    if done:\n                        break\n            return buffer.getvalue()\n        else:\n            async def audio_generator():\n                async with websockets.connect(self.config.api_url, additional_headers=headers,\n                                              ping_interval=None) as ws:\n                    await ws.send(request)\n                    while True:\n                        response = await ws.recv()\n                        done, chunk = self._parse_response(response)\n                        if chunk:\n                            yield chunk\n                        if done:\n                            break\n\n            return audio_generator()\n\n    async def query_status(self, text: str) -> Dict[str, Any]:\n        \"\"\"Query the status of text synthesis\"\"\"\n        request = self._prepare_request(text, operation=\"query\")\n        headers = {\"Authorization\": f\"Bearer; {self.config.token}\"}\n\n        async with websockets.connect(self.config.api_url, additional_headers=headers, ping_interval=None) as ws:\n            await ws.send(request)\n            response = await ws.recv()\n            # Parse and return query response\n            return self._parse_query_response(response)\n\n    def _parse_query_response(self, response: bytes) -> Dict[str, Any]:\n        \"\"\"Parse query response into a dictionary\"\"\"\n        # Implementation depends on the actual query response format\n        # This is a placeholder - implement based on actual query response structure\n        return {\"status\": \"unknown\"}\n\n    async def check_connectivity(self) -> bool:\n        \"\"\"\n        Test the connectivity to the remote TTS service\n        \n        Returns:\n            bool: Returns True if the connection is successful, False if it fails\n        \"\"\"\n        try:\n            # Generate speech using the shortest test text, non-streaming\n            audio_data = await self.generate_speech(\"Hello\", stream=False)\n            # Check if audio data was successfully retrieved\n            return isinstance(audio_data, bytes) and len(audio_data) > 0\n        except Exception:\n            return False\n"
  },
  {
    "path": "sdk/nexent/core/nlp/__init__.py",
    "content": "import jieba.posseg as pseg\n\nfrom .stopwords import load_stopwords\n\nload_stopwords()\npseg.lcut('preload jieba')"
  },
  {
    "path": "sdk/nexent/core/nlp/stopwords.py",
    "content": "import logging\nimport os\nimport tempfile\n\nimport requests\nfrom jieba import analyse\n\nlogger = logging.getLogger(\"nlp.stopwords\")\n\n\ndef download_stopwords(url: str, save_path: str) -> bool:\n    \"\"\"Download stopwords file\"\"\"\n    try:\n        logger.info(f\"Downloading stopwords: {url}\")\n        response = requests.get(url, timeout=10)\n        response.encoding = 'utf-8'\n        with open(save_path, 'w', encoding='utf-8') as f:\n            f.write(response.text)\n        logger.info(f\"Stopwords saved to: {os.path.abspath(save_path)}\")\n        return True\n    except Exception as e:\n        logger.info(f\"Failed to download stopwords: {str(e)}\")\n        return False\n\n\ndef load_stopwords(stopwords_name='baidu_stopwords.txt',\n                   backup_url='https://raw.githubusercontent.com/goto456/stopwords/master/baidu_stopwords.txt'):\n    \"\"\"\n    Load stopwords (automatically download to temporary file)\n\n    Args:\n        stopwords_name: Name of the stopwords file\n        backup_url: Backup download URL\n    \"\"\"\n    # Create a temporary file\n    temp_dir = tempfile.gettempdir()\n    stopwords_path = os.path.join(temp_dir, stopwords_name)\n    \n    # Always download the latest version\n    if not download_stopwords(backup_url, stopwords_path):\n        logger.error(f\"Unable to download stopwords from: {backup_url}\")\n        return\n\n    # Validate file content\n    with open(stopwords_path, 'r', encoding='utf-8') as f:\n        first_line = f.readline().strip()\n        if not first_line or len(first_line) > 100:  # Simple format validation\n            os.remove(stopwords_path)  # Delete potentially corrupted file\n            logger.error(\"Stopwords file format is invalid, file has been deleted, please try again\")\n            return\n\n    # Configure to jieba\n    analyse.set_stop_words(stopwords_path)\n"
  },
  {
    "path": "sdk/nexent/core/nlp/tokenizer.py",
    "content": "import math\nfrom collections import defaultdict\n\nimport jieba.posseg as pseg\nfrom jieba import analyse\n\n# POS tag weights configuration (Proper noun > Noun > Verb > Adjective > Others)\nPOS_WEIGHTS = {\n    'n': 1.3,  # Common noun\n    'nz': 1.5,  # Proper noun (product name, brand name, etc.)\n    'v': 1.1,  # Verb\n    'a': 1.05,  # Adjective\n    'm': 1.2,  # Number\n    'eng': 1.2,  # English word\n    'x': 0.8  # Other POS\n}\n\n# Proper noun dictionary (reserved for future dynamic loading from business data)\nHIGH_WEIGHT_NZ_TERMS = {}\n\n\ndef calculate_term_weights(text, use_idf=False, doc_freqs=None, total_docs=1):\n    \"\"\"\n    Calculate the weight of each token in the query text\n\n    Args:\n        text (str): Text to be analyzed\n        use_idf (bool): Whether to use IDF enhancement, default False\n        doc_freqs (dict): Document frequency dictionary for terms {term: number of documents containing the term}\n        total_docs (int): Total number of documents (for IDF calculation), default 1\n\n    Returns:\n        dict: Dictionary of {term: weight}, weights normalized to 0-1 range\n    \"\"\"\n    # Convert English text to lowercase\n    text = text.lower()\n\n    # Tokenization with POS tagging\n    words = pseg.cut(text)\n    term_stats = defaultdict(float)\n    total_weight = 0.0\n\n    # First pass: calculate term frequency + POS weight + position weight\n    for idx, (word, flag) in enumerate(words):\n        # Filter out stop words and whitespace\n        if word not in analyse.default_tfidf.stop_words and word.strip():\n            # Get the first letter of POS tag (Chinese POS tagging convention)\n            pos = flag[0].lower()\n            # Get the base weight for the POS\n            pos_weight = POS_WEIGHTS.get(pos, 1.0)\n            # Position weight enhancement (words at the beginning and end of the sentence are more important)\n            position_factor = 1.2 if idx < 3 or idx > len(text) / 3 else 1.0\n            # Combined weight = POS weight * position factor\n            combined_weight = pos_weight * position_factor\n            term_stats[word] += combined_weight\n            total_weight += combined_weight\n\n    # Calculate TF weight (term frequency weight)\n    tf_weights = {term: weight / total_weight for term, weight in term_stats.items()}\n\n    # IDF enhancement (requires external document frequency data)\n    if use_idf and doc_freqs is not None:\n        tfidf_weights = {}\n        for term, tf in tf_weights.items():\n            # Smoothed IDF calculation (to avoid division by zero)\n            df = doc_freqs.get(term, 0)\n            idf = math.log((total_docs + 1) / (df + 1)) + 1\n            tfidf_weights[term] = tf * idf\n        weights = tfidf_weights\n    else:\n        weights = tf_weights\n\n    # Length enhancement: longer words usually contain more information\n    enhanced_weights = {}\n    for term, weight in weights.items():\n        # For each additional character, increase weight by 10% (\"Artificial Intelligence\" is more important than \"Intelligence\")\n        length_factor = 1 + 0.1 * (len(term) - 1)\n        enhanced_weights[term] = weight * length_factor\n\n    # Normalization (scale weights to 0-1 range)\n    max_weight = max(enhanced_weights.values()) if enhanced_weights else 1\n    normalized_weights = {term: weight / max_weight for term, weight in enhanced_weights.items()}\n\n    # Proper noun secondary enhancement (ensure product names and other key terms maintain the highest weight)\n    for term in normalized_weights:\n        if term.lower() in HIGH_WEIGHT_NZ_TERMS:\n            normalized_weights[term] = min(normalized_weights[term] * 1.5, 1.0)\n\n    # Add semantic relevance check\n    meaningful_terms = []\n    for term, weight in normalized_weights.items():\n        # Filter out terms with too low weight or too short length\n        if weight > 0.2 and len(term) > 1:  # Threshold can be adjusted as needed\n            meaningful_terms.append((term, weight))\n\n    # If there are no meaningful terms, return an empty dictionary\n    if not meaningful_terms:\n        return {}\n\n    # Re-normalize\n    max_weight = max(weight for _, weight in meaningful_terms)\n    return {term: weight / max_weight for term, weight in meaningful_terms}\n"
  },
  {
    "path": "sdk/nexent/core/prompts/analyze_file_en.yaml",
    "content": "# File analysis prompt template\n# For long text content analysis\nsystem_prompt: |-\n  The user has asked a question: {{ query }}. Please provide a concise and careful description of this text from the perspective of answering this question, within 200 words.\n  \n  **Text Analysis Requirements:**\n  1. Focus on extracting text content relevant to the user's question\n  2. Summary should be accurate and concise, highlighting core information\n  3. Maintain key viewpoints and data from the original text\n  4. Avoid redundant information, focus on question-related content\n\nuser_prompt: |\n  Please carefully read and analyze this text:\n\n"
  },
  {
    "path": "sdk/nexent/core/prompts/analyze_file_zh.yaml",
    "content": "# File analysis prompt template\n# For long text content analysis\nsystem_prompt: |-\n  用户提出了一个问题：{{ query }}，请从回答这个问题的角度精简、仔细描述一下这段文本，200字以内。\n  \n  **文本分析要求：**\n  1. 重点提取与用户问题相关的文本内容\n  2. 归纳总结要准确简洁，突出核心信息\n  3. 保持原文的关键观点和数据\n  4. 避免冗余信息，专注于问题相关内容\n\nuser_prompt: |\n  请仔细阅读并分析这段文本：\n\n\n"
  },
  {
    "path": "sdk/nexent/core/prompts/analyze_image_en.yaml",
    "content": "# Image Understanding Prompt Templates\n\nsystem_prompt: |-\n  The user has asked a question: {{ query }}. Please provide a concise and careful description of this image from the perspective of answering this question, within 200 words.\n  \n  **Image Analysis Requirements:**\n  1. Focus on image content relevant to the user's question\n  2. Keep descriptions concise and clear, highlighting key information\n  3. Avoid irrelevant details, focus on content that helps answer the question\n  4. Maintain objective description, avoid over-interpretation\n\nuser_prompt: |\n  Please carefully observe this image and describe it from the perspective of answering the user's question."
  },
  {
    "path": "sdk/nexent/core/prompts/analyze_image_zh.yaml",
    "content": "# 图片分析 Prompt 模板\n# 用于图片分析\n\nsystem_prompt: |-\n  用户提出了一个问题：{{ query }}，请从回答这个问题的角度精简、仔细描述一下这个图片，200字以内。\n  \n  **图片分析要求：**\n  1. 重点关注与用户问题相关的图片内容\n  2. 描述要精简明了，突出关键信息\n  3. 避免无关细节，专注于能帮助回答问题的内容\n  4. 保持客观描述，不要过度解读\n\nuser_prompt: |\n  请仔细观察这张图片，并从回答用户问题的角度进行描述。"
  },
  {
    "path": "sdk/nexent/core/tools/README.md",
    "content": "# Nexent 工具开发规范\n\n[![English](https://img.shields.io/badge/Language-English-blue.svg)](README_EN.md)\n\n本文档基于对现有工具的分析，总结了 Nexent SDK 中工具开发的完整规范和最佳实践。\n\n## 工具分类\n\n当前 SDK 包含以下工具类型：\n\n### 搜索工具\n- **EXASearchTool**: 基于 EXA API 的网络搜索工具\n- **TavilySearchTool**: 基于 Tavily API 的网络搜索工具  \n- **LinkupSearchTool**: 基于 Linkup API 的网络搜索工具\n- **KnowledgeBaseSearchTool**: 本地知识库搜索工具\n\n### 通信工具\n- **GetEmailTool**: 邮件获取工具\n- **SendEmailTool**: 邮件发送工具\n\n## 工具共性特征\n\n### 1. 基础架构\n- **基类继承**: 所有工具必须继承自 `smolagents.tools.Tool`\n- **参数管理**: 使用 `pydantic.Field` 进行参数定义和验证\n- **流式输出**: 集成 `MessageObserver` 支持实时消息传递\n- **多语言支持**: 内置中英文双语提示信息\n\n### 2. 核心属性\n每个工具类必须包含以下类属性：\n\n```python\nclass ToolExample(Tool):\n    name = \"tool_name\"                    # 工具唯一标识符\n    description = \"工具功能描述\"          # 详细功能说明\n    inputs = {                           # 输入参数定义\n        \"param\": {\"type\": \"string\", \"description\": \"参数描述\"}\n    }\n    output_type = \"string\"               # 输出类型\n    tool_sign = \"x\"                      # 工具标识符（可选）\n```\n\n### 3. 消息处理机制\n- **ProcessType 枚举**: 使用不同类型区分消息（TOOL, CARD, SEARCH_CONTENT, PICTURE_WEB 等）\n- **Observer 模式**: 通过 MessageObserver 实现实时消息推送\n- **JSON 格式**: 所有消息内容使用 JSON 格式确保一致性\n\n### 4. 异常处理策略\n- **统一异常**: 使用 Exception 抛出错误信息\n- **错误日志**: 使用 logging 模块记录详细错误信息\n- **优雅降级**: 在可能的情况下提供备选方案\n\n## 命名规范\n\n### 文件命名\n- **格式**: `{功能名}_tool.py`\n- **风格**: 小写字母，单词间用下划线连接\n- **示例**: `exa_search_tool.py`, `knowledge_base_search_tool.py`\n\n### 类命名\n- **格式**: `{功能名}Tool`\n- **风格**: 大驼峰命名法（PascalCase）\n- **示例**: `ExaSearchTool`, `KnowledgeBaseSearchTool`\n\n### 属性和方法命名\n- **格式**: 小写字母，单词间用下划线连接\n- **私有方法**: 以单下划线开头（如 `_filter_images`）\n- **示例**: `max_results`, `running_prompt_en`, `_decode_subject`\n\n### 工具标识符规范\n- **tool_sign**: 单字母标识符，用于区分工具来源\n- **分配规则**:\n  - `a`: 知识库搜索 (KnowledgeBaseSearchTool)\n  - `b`: 网络搜索 (ExaSearchTool, TavilySearchTool)\n  - `l`: Linkup搜索 (LinkupSearchTool)\n  - 其他字母按功能类型分配\n\n## 代码结构模板\n\n### 基础模板\n\n```python\nimport json\nimport logging\nfrom typing import Optional\nfrom smolagents.tools import Tool\nfrom pydantic import Field\n\nfrom ..utils.observer import MessageObserver, ProcessType\n\nlogger = logging.getLogger(\"your_tool_name\")\n\nclass YourTool(Tool):\n    name = \"your_tool\"\n    description = \"工具功能的详细描述，说明适用场景和使用方法\"\n    inputs = {\n        \"param1\": {\n            \"type\": \"string\", \n            \"description\": \"参数1的详细描述\"\n        },\n        \"param2\": {\n            \"type\": \"integer\", \n            \"description\": \"参数2的详细描述\", \n            \"default\": 10, \n            \"nullable\": True\n        }\n    }\n    output_type = \"string\"\n    tool_sign = \"y\"  # 选择合适的标识符\n\n    def __init__(\n        self,\n        config_param: str = Field(description=\"配置参数\"),\n        observer: MessageObserver = Field(description=\"消息观察者\", default=None, exclude=True),\n        optional_param: int = Field(description=\"可选参数\", default=5)\n    ):\n        super().__init__()\n        self.config_param = config_param\n        self.observer = observer\n        self.optional_param = optional_param\n        \n        # 多语言提示信息\n        self.running_prompt_zh = \"正在执行...\"\n        self.running_prompt_en = \"Processing...\"\n        \n        # 记录操作序号（如果需要）\n        self.record_ops = 0\n\n    def forward(self, param1: str, param2: int = 10) -> str:\n        \"\"\"工具的主要执行方法\n        \n        Args:\n            param1: 参数1说明\n            param2: 参数2说明\n            \n        Returns:\n            JSON格式的字符串结果\n            \n        Raises:\n            Exception: 详细的错误信息\n        \"\"\"\n        try:\n            # 发送工具运行消息\n            if self.observer:\n                running_prompt = (self.running_prompt_zh \n                                if self.observer.lang == \"zh\" \n                                else self.running_prompt_en)\n                self.observer.add_message(\"\", ProcessType.TOOL, running_prompt)\n                \n                # 发送卡片信息（可选）\n                card_content = [{\"icon\": \"your_icon\", \"text\": param1}]\n                self.observer.add_message(\"\", ProcessType.CARD, \n                                        json.dumps(card_content, ensure_ascii=False))\n\n            # 主要业务逻辑\n            result = self._execute_main_logic(param1, param2)\n            \n            # 处理结果并返回\n            return self._format_result(result)\n            \n        except Exception as e:\n            logger.error(f\"Error in {self.name}: {str(e)}\")\n            raise Exception(f\"执行{self.name}时发生错误: {str(e)}\")\n\n    def _execute_main_logic(self, param1: str, param2: int):\n        \"\"\"执行主要业务逻辑的私有方法\"\"\"\n        # 实现具体的业务逻辑\n        pass\n\n    def _format_result(self, result) -> str:\n        \"\"\"格式化返回结果\"\"\"\n        formatted_result = {\n            \"status\": \"success\",\n            \"data\": result,\n            \"tool\": self.name\n        }\n        return json.dumps(formatted_result, ensure_ascii=False)\n```\n\n### 搜索工具模板\n\n```python\nimport json\nimport logging\nfrom typing import List\nfrom smolagents.tools import Tool\nfrom pydantic import Field\n\nfrom ..utils.observer import MessageObserver, ProcessType\nfrom ..utils.tools_common_message import SearchResultTextMessage\n\nlogger = logging.getLogger(\"search_tool_name\")\n\nclass SearchTool(Tool):\n    name = \"search_tool\"\n    description = \"搜索工具的详细描述，包括搜索范围和适用场景\"\n    inputs = {\n        \"query\": {\"type\": \"string\", \"description\": \"搜索查询\"},\n        \"max_results\": {\"type\": \"integer\", \"description\": \"最大结果数\", \"default\": 5, \"nullable\": True}\n    }\n    output_type = \"string\"\n    tool_sign = \"s\"\n\n    def __init__(\n        self,\n        api_key: str = Field(description=\"API密钥\"),\n        observer: MessageObserver = Field(description=\"消息观察者\", default=None, exclude=True),\n        max_results: int = Field(description=\"最大搜索结果数\", default=5)\n    ):\n        super().__init__()\n        self.api_key = api_key\n        self.observer = observer\n        self.max_results = max_results\n        self.record_ops = 0\n        \n        self.running_prompt_zh = \"搜索中...\"\n        self.running_prompt_en = \"Searching...\"\n\n    def forward(self, query: str, max_results: int = None) -> str:\n        if max_results is None:\n            max_results = self.max_results\n            \n        # 发送搜索状态消息\n        if self.observer:\n            running_prompt = (self.running_prompt_zh \n                            if self.observer.lang == \"zh\" \n                            else self.running_prompt_en)\n            self.observer.add_message(\"\", ProcessType.TOOL, running_prompt)\n            card_content = [{\"icon\": \"search\", \"text\": query}]\n            self.observer.add_message(\"\", ProcessType.CARD, \n                                    json.dumps(card_content, ensure_ascii=False))\n\n        try:\n            # 执行搜索\n            search_results = self._perform_search(query, max_results)\n            \n            if not search_results:\n                raise Exception(\"未找到搜索结果！请尝试更短或更宽泛的查询。\")\n\n            # 格式化搜索结果\n            formatted_results = self._format_search_results(search_results)\n            \n            # 记录搜索内容\n            if self.observer:\n                search_results_data = json.dumps(formatted_results[\"json\"], ensure_ascii=False)\n                self.observer.add_message(\"\", ProcessType.SEARCH_CONTENT, search_results_data)\n            \n            return json.dumps(formatted_results[\"return\"], ensure_ascii=False)\n            \n        except Exception as e:\n            logger.error(f\"搜索错误: {str(e)}\")\n            raise Exception(f\"搜索失败: {str(e)}\")\n\n    def _perform_search(self, query: str, max_results: int):\n        \"\"\"执行实际的搜索操作\"\"\"\n        # 实现具体的搜索逻辑\n        pass\n\n    def _format_search_results(self, results):\n        \"\"\"格式化搜索结果为统一格式\"\"\"\n        search_results_json = []\n        search_results_return = []\n        \n        for index, result in enumerate(results):\n            search_result_message = SearchResultTextMessage(\n                title=result.get(\"title\", \"\"),\n                url=result.get(\"url\", \"\"),\n                text=result.get(\"content\", \"\"),\n                published_date=result.get(\"date\", \"\"),\n                source_type=\"url\",\n                filename=\"\",\n                score=result.get(\"score\", \"\"),\n                score_details=result.get(\"score_details\", {}),\n                cite_index=self.record_ops + index,\n                search_type=self.name,\n                tool_sign=self.tool_sign\n            )\n            search_results_json.append(search_result_message.to_dict())\n            search_results_return.append(search_result_message.to_model_dict())\n        \n        self.record_ops += len(search_results_return)\n        \n        return {\n            \"json\": search_results_json,\n            \"return\": search_results_return\n        }\n```\n\n## 开发流程规范\n\n### 1. 开发前准备\n- 确定工具功能和适用场景\n- 选择合适的工具分类和标识符\n- 检查是否与现有工具功能重复\n\n### 2. 实现步骤\n1. **创建工具文件**: 按命名规范创建 `{name}_tool.py`\n2. **定义类结构**: 继承 Tool 基类，定义必要属性\n3. **实现构造函数**: 使用 pydantic Field 定义参数\n4. **实现 forward 方法**: 核心功能逻辑\n5. **添加私有方法**: 将复杂逻辑拆分为私有方法\n6. **集成消息观察者**: 支持流式输出和多语言\n7. **异常处理**: 完善的错误处理和日志记录\n\n### 3. 测试和集成\n1. **单元测试**: 测试各种输入情况和边界条件\n2. **集成测试**: 与 CoreAgent 集成测试\n3. **更新导出**: 在 `__init__.py` 中添加工具导出\n4. **文档更新**: 更新相关文档和示例\n\n## 最佳实践\n\n### 1. 性能优化\n- **异步处理**: 对于耗时操作使用异步处理\n- **连接池**: 复用网络连接减少延迟\n- **缓存机制**: 适当使用缓存提升响应速度\n- **并发控制**: 使用 Semaphore 控制并发请求数\n\n### 2. 安全性\n- **输入验证**: 严格验证输入参数\n- **敏感信息**: API密钥等敏感信息不应出现在日志中\n- **错误信息**: 避免在错误信息中泄露敏感信息\n- **超时控制**: 设置合理的超时时间防止阻塞\n\n### 3. 可维护性\n- **模块化设计**: 将复杂功能拆分为多个方法\n- **清晰注释**: 为复杂逻辑添加详细注释\n- **类型注解**: 使用完整的类型注解\n- **文档字符串**: 为所有公共方法添加文档字符串\n\n### 4. 用户体验\n- **多语言支持**: 提供中英文双语提示\n- **进度反馈**: 通过 MessageObserver 提供实时反馈\n- **错误提示**: 提供清晰的错误信息和解决建议\n- **参数验证**: 在执行前验证参数有效性\n\n## 注意事项\n\n1. **版本兼容**: 确保工具与不同版本的依赖库兼容\n2. **资源清理**: 及时释放网络连接、文件句柄等资源\n3. **日志级别**: 合理设置日志级别，避免过多调试信息\n4. **配置管理**: 支持通过环境变量配置关键参数\n5. **错误恢复**: 在可能的情况下提供错误恢复机制\n\n通过遵循这些规范，可以确保新开发的工具与现有工具保持一致性，并具备良好的可维护性和可扩展性。\n"
  },
  {
    "path": "sdk/nexent/core/tools/README_EN.md",
    "content": "# Nexent Tool Development Guidelines\n\n[![中文](https://img.shields.io/badge/Language-中文-blue.svg)](README.md)\n\nThis document summarizes the complete guidelines and best practices for tool development in the Nexent SDK based on analysis of existing tools.\n\n## Tool Categories\n\nThe current SDK includes the following tool types:\n\n### Search Tools\n- **ExaSearchTool**: Web search tool based on EXA API\n- **TavilySearchTool**: Web search tool based on Tavily API  \n- **LinkupSearchTool**: Search tool based on Linkup API\n- **KnowledgeBaseSearchTool**: Local knowledge base search tool\n\n### Communication Tools\n- **GetEmailTool**: Email retrieval tool\n- **SendEmailTool**: Email sending tool\n\n## Common Characteristics\n\n### 1. Basic Architecture\n- **Base Class Inheritance**: All tools must inherit from `smolagents.tools.Tool`\n- **Parameter Management**: Use `pydantic.Field` for parameter definition and validation\n- **Streaming Output**: Integrate `MessageObserver` for real-time message transmission\n- **Multi-language Support**: Built-in Chinese and English bilingual prompts\n\n### 2. Core Attributes\nEach tool class must include the following class attributes:\n\n```python\nclass ToolExample(Tool):\n    name = \"tool_name\"                    # Tool unique identifier\n    description = \"Tool functionality description\"  # Detailed feature description\n    inputs = {                           # Input parameter definition\n        \"param\": {\"type\": \"string\", \"description\": \"Parameter description\"}\n    }\n    output_type = \"string\"               # Output type\n    tool_sign = \"x\"                      # Tool identifier (optional)\n```\n\n### 3. Message Processing Mechanism\n- **ProcessType Enumeration**: Use different types to distinguish messages (TOOL, CARD, SEARCH_CONTENT, PICTURE_WEB, etc.)\n- **Observer Pattern**: Implement real-time message pushing through MessageObserver\n- **JSON Format**: All message content uses JSON format to ensure consistency\n\n### 4. Exception Handling Strategy\n- **Unified Exceptions**: Use Exception to throw error messages\n- **Error Logging**: Use logging module to record detailed error information\n- **Graceful Degradation**: Provide fallback solutions when possible\n\n## Naming Conventions\n\n### File Naming\n- **Format**: `{function_name}_tool.py`\n- **Style**: Lowercase letters, words connected by underscores\n- **Examples**: `exa_search_tool.py`, `knowledge_base_search_tool.py`\n\n### Class Naming\n- **Format**: `{FunctionName}Tool`\n- **Style**: PascalCase\n- **Examples**: `ExaSearchTool`, `KnowledgeBaseSearchTool`\n\n### Attribute and Method Naming\n- **Format**: Lowercase letters, words connected by underscores\n- **Private Methods**: Start with single underscore (e.g., `_filter_images`)\n- **Examples**: `max_results`, `running_prompt_en`, `_decode_subject`\n\n### Tool Identifier Conventions\n- **tool_sign**: Single letter identifier for distinguishing tool sources\n- **Assignment Rules**:\n  - `a`: Knowledge base search (KnowledgeBaseSearchTool)\n  - `b`: Web search (ExaSearchTool, TavilySearchTool)\n  - `l`: Linkup search (LinkupSearchTool)\n  - Other letters assigned by functional type\n\n## Code Structure Templates\n\n### Basic Template\n\n```python\nimport json\nimport logging\nfrom typing import Optional\nfrom smolagents.tools import Tool\nfrom pydantic import Field\n\nfrom ..utils.observer import MessageObserver, ProcessType\n\nlogger = logging.getLogger(\"your_tool_name\")\n\nclass YourTool(Tool):\n    name = \"your_tool\"\n    description = \"Detailed description of tool functionality, including use cases and methods\"\n    inputs = {\n        \"param1\": {\n            \"type\": \"string\", \n            \"description\": \"Detailed description of parameter 1\"\n        },\n        \"param2\": {\n            \"type\": \"integer\", \n            \"description\": \"Detailed description of parameter 2\", \n            \"default\": 10, \n            \"nullable\": True\n        }\n    }\n    output_type = \"string\"\n    tool_sign = \"y\"  # Choose appropriate identifier\n\n    def __init__(\n        self,\n        config_param: str = Field(description=\"Configuration parameter\"),\n        observer: MessageObserver = Field(description=\"Message observer\", default=None, exclude=True),\n        optional_param: int = Field(description=\"Optional parameter\", default=5)\n    ):\n        super().__init__()\n        self.config_param = config_param\n        self.observer = observer\n        self.optional_param = optional_param\n        \n        # Multi-language prompt messages\n        self.running_prompt_zh = \"正在执行...\"\n        self.running_prompt_en = \"Processing...\"\n        \n        # Record operation sequence number (if needed)\n        self.record_ops = 0\n\n    def forward(self, param1: str, param2: int = 10) -> str:\n        \"\"\"Main execution method of the tool\n        \n        Args:\n            param1: Description of parameter 1\n            param2: Description of parameter 2\n            \n        Returns:\n            JSON format string result\n            \n        Raises:\n            Exception: Detailed error information\n        \"\"\"\n        try:\n            # Send tool running message\n            if self.observer:\n                running_prompt = (self.running_prompt_zh \n                                if self.observer.lang == \"zh\" \n                                else self.running_prompt_en)\n                self.observer.add_message(\"\", ProcessType.TOOL, running_prompt)\n                \n                # Send card information (optional)\n                card_content = [{\"icon\": \"your_icon\", \"text\": param1}]\n                self.observer.add_message(\"\", ProcessType.CARD, \n                                        json.dumps(card_content, ensure_ascii=False))\n\n            # Main business logic\n            result = self._execute_main_logic(param1, param2)\n            \n            # Process results and return\n            return self._format_result(result)\n            \n        except Exception as e:\n            logger.error(f\"Error in {self.name}: {str(e)}\")\n            raise Exception(f\"Error executing {self.name}: {str(e)}\")\n\n    def _execute_main_logic(self, param1: str, param2: int):\n        \"\"\"Private method to execute main business logic\"\"\"\n        # Implement specific business logic\n        pass\n\n    def _format_result(self, result) -> str:\n        \"\"\"Format return result\"\"\"\n        formatted_result = {\n            \"status\": \"success\",\n            \"data\": result,\n            \"tool\": self.name\n        }\n        return json.dumps(formatted_result, ensure_ascii=False)\n```\n\n### Search Tool Template\n\n```python\nimport json\nimport logging\nfrom typing import List\nfrom smolagents.tools import Tool\nfrom pydantic import Field\n\nfrom ..utils.observer import MessageObserver, ProcessType\nfrom ..utils.tools_common_message import SearchResultTextMessage\n\nlogger = logging.getLogger(\"search_tool_name\")\n\nclass SearchTool(Tool):\n    name = \"search_tool\"\n    description = \"Detailed description of search tool, including search scope and use cases\"\n    inputs = {\n        \"query\": {\"type\": \"string\", \"description\": \"Search query\"},\n        \"max_results\": {\"type\": \"integer\", \"description\": \"Maximum number of results\", \"default\": 5, \"nullable\": True}\n    }\n    output_type = \"string\"\n    tool_sign = \"s\"\n\n    def __init__(\n        self,\n        api_key: str = Field(description=\"API key\"),\n        observer: MessageObserver = Field(description=\"Message observer\", default=None, exclude=True),\n        max_results: int = Field(description=\"Maximum number of search results\", default=5)\n    ):\n        super().__init__()\n        self.api_key = api_key\n        self.observer = observer\n        self.max_results = max_results\n        self.record_ops = 0\n        \n        self.running_prompt_zh = \"搜索中...\"\n        self.running_prompt_en = \"Searching...\"\n\n    def forward(self, query: str, max_results: int = None) -> str:\n        if max_results is None:\n            max_results = self.max_results\n            \n        # Send search status message\n        if self.observer:\n            running_prompt = (self.running_prompt_zh \n                            if self.observer.lang == \"zh\" \n                            else self.running_prompt_en)\n            self.observer.add_message(\"\", ProcessType.TOOL, running_prompt)\n            card_content = [{\"icon\": \"search\", \"text\": query}]\n            self.observer.add_message(\"\", ProcessType.CARD, \n                                    json.dumps(card_content, ensure_ascii=False))\n\n        try:\n            # Perform search\n            search_results = self._perform_search(query, max_results)\n            \n            if not search_results:\n                raise Exception(\"No search results found! Try a shorter or broader query.\")\n\n            # Format search results\n            formatted_results = self._format_search_results(search_results)\n            \n            # Record search content\n            if self.observer:\n                search_results_data = json.dumps(formatted_results[\"json\"], ensure_ascii=False)\n                self.observer.add_message(\"\", ProcessType.SEARCH_CONTENT, search_results_data)\n            \n            return json.dumps(formatted_results[\"return\"], ensure_ascii=False)\n            \n        except Exception as e:\n            logger.error(f\"Search error: {str(e)}\")\n            raise Exception(f\"Search failed: {str(e)}\")\n\n    def _perform_search(self, query: str, max_results: int):\n        \"\"\"Execute actual search operation\"\"\"\n        # Implement specific search logic\n        pass\n\n    def _format_search_results(self, results):\n        \"\"\"Format search results into unified format\"\"\"\n        search_results_json = []\n        search_results_return = []\n        \n        for index, result in enumerate(results):\n            search_result_message = SearchResultTextMessage(\n                title=result.get(\"title\", \"\"),\n                url=result.get(\"url\", \"\"),\n                text=result.get(\"content\", \"\"),\n                published_date=result.get(\"date\", \"\"),\n                source_type=\"url\",\n                filename=\"\",\n                score=result.get(\"score\", \"\"),\n                score_details=result.get(\"score_details\", {}),\n                cite_index=self.record_ops + index,\n                search_type=self.name,\n                tool_sign=self.tool_sign\n            )\n            search_results_json.append(search_result_message.to_dict())\n            search_results_return.append(search_result_message.to_model_dict())\n        \n        self.record_ops += len(search_results_return)\n        \n        return {\n            \"json\": search_results_json,\n            \"return\": search_results_return\n        }\n```\n\n## Development Process Guidelines\n\n### 1. Pre-development Preparation\n- Determine tool functionality and use cases\n- Select appropriate tool category and identifier\n- Check for functionality duplication with existing tools\n\n### 2. Implementation Steps\n1. **Create tool file**: Create `{name}_tool.py` according to naming conventions\n2. **Define class structure**: Inherit from Tool base class, define necessary attributes\n3. **Implement constructor**: Use pydantic Field to define parameters\n4. **Implement forward method**: Core functionality logic\n5. **Add private methods**: Split complex logic into private methods\n6. **Integrate message observer**: Support streaming output and multi-language\n7. **Exception handling**: Complete error handling and logging\n\n### 3. Testing and Integration\n1. **Unit testing**: Test various input scenarios and edge cases\n2. **Integration testing**: Integration testing with CoreAgent\n3. **Update exports**: Add tool export in `__init__.py`\n4. **Documentation updates**: Update related documentation and examples\n\n## Best Practices\n\n### 1. Performance Optimization\n- **Asynchronous Processing**: Use asynchronous processing for time-consuming operations\n- **Connection Pooling**: Reuse network connections to reduce latency\n- **Caching Mechanism**: Use caching appropriately to improve response speed\n- **Concurrency Control**: Use Semaphore to control concurrent request numbers\n\n### 2. Security\n- **Input Validation**: Strictly validate input parameters\n- **Sensitive Information**: API keys and other sensitive information should not appear in logs\n- **Error Messages**: Avoid leaking sensitive information in error messages\n- **Timeout Control**: Set reasonable timeout periods to prevent blocking\n\n### 3. Maintainability\n- **Modular Design**: Split complex functionality into multiple methods\n- **Clear Comments**: Add detailed comments for complex logic\n- **Type Annotations**: Use complete type annotations\n- **Documentation Strings**: Add documentation strings for all public methods\n\n### 4. User Experience\n- **Multi-language Support**: Provide Chinese and English bilingual prompts\n- **Progress Feedback**: Provide real-time feedback through MessageObserver\n- **Error Prompts**: Provide clear error messages and solution suggestions\n- **Parameter Validation**: Validate parameter validity before execution\n\n## Important Notes\n\n1. **Version Compatibility**: Ensure tools are compatible with different versions of dependency libraries\n2. **Resource Cleanup**: Release network connections, file handles, and other resources promptly\n3. **Log Levels**: Set appropriate log levels to avoid excessive debug information\n4. **Configuration Management**: Support configuring key parameters through environment variables\n5. **Error Recovery**: Provide error recovery mechanisms when possible\n\nBy following these guidelines, you can ensure that newly developed tools maintain consistency with existing tools and have good maintainability and extensibility. "
  },
  {
    "path": "sdk/nexent/core/tools/__init__.py",
    "content": "from .exa_search_tool import ExaSearchTool\nfrom .get_email_tool import GetEmailTool\nfrom .knowledge_base_search_tool import KnowledgeBaseSearchTool\nfrom .dify_search_tool import DifySearchTool\nfrom .datamate_search_tool import DataMateSearchTool\nfrom .idata_search_tool import IdataSearchTool\nfrom .send_email_tool import SendEmailTool\nfrom .tavily_search_tool import TavilySearchTool\nfrom .linkup_search_tool import LinkupSearchTool\nfrom .create_file_tool import CreateFileTool\nfrom .read_file_tool import ReadFileTool\nfrom .delete_file_tool import DeleteFileTool\nfrom .create_directory_tool import CreateDirectoryTool\nfrom .delete_directory_tool import DeleteDirectoryTool\nfrom .move_item_tool import MoveItemTool\nfrom .list_directory_tool import ListDirectoryTool\nfrom .terminal_tool import TerminalTool\nfrom .analyze_text_file_tool import AnalyzeTextFileTool\nfrom .analyze_image_tool import AnalyzeImageTool\n\n__all__ = [\n    \"ExaSearchTool\",\n    \"KnowledgeBaseSearchTool\",\n    \"DifySearchTool\",\n    \"DataMateSearchTool\",\n    \"IdataSearchTool\",\n    \"SendEmailTool\",\n    \"GetEmailTool\",\n    \"TavilySearchTool\",\n    \"LinkupSearchTool\",\n    \"CreateFileTool\",\n    \"ReadFileTool\",\n    \"DeleteFileTool\",\n    \"CreateDirectoryTool\",\n    \"DeleteDirectoryTool\",\n    \"MoveItemTool\",\n    \"ListDirectoryTool\",\n    \"TerminalTool\",\n    \"AnalyzeTextFileTool\",\n    \"AnalyzeImageTool\"\n]\n"
  },
  {
    "path": "sdk/nexent/core/tools/analyze_image_tool.py",
    "content": "\"\"\"\"\nAnalyze Image Tool\n\nAnalyze images using a large language model.\nSupports images from S3, HTTP, and HTTPS URLs.\n\"\"\"\n\nimport logging\nfrom io import BytesIO\nfrom typing import List\n\nfrom jinja2 import Template, StrictUndefined\nfrom pydantic import Field\nfrom smolagents.tools import Tool\n\nfrom ...core.models import OpenAIVLModel\nfrom ...core.utils.observer import MessageObserver, ProcessType\nfrom ...core.utils.prompt_template_utils import get_prompt_template\nfrom ...core.utils.tools_common_message import ToolCategory, ToolSign\nfrom ...storage import MinIOStorageClient\nfrom ...multi_modal.load_save_object import LoadSaveObjectManager\n\nlogger = logging.getLogger(\"analyze_image_tool\")\n\n\nclass AnalyzeImageTool(Tool):\n    \"\"\"Tool for understanding and analyzing image using a visual language model\"\"\"\n\n    name = \"analyze_image\"\n    description = (\n        \"This tool uses a visual language model to understand images based on your query and then returns a description of the image.\\n\"\n        \"It is used to understand and analyze multiple images, with image sources supporting S3 URLs (s3://bucket/key or /bucket/key), \"\n        \"HTTP, and HTTPS URLs.\\n\"\n        \"Use this tool when you want to retrieve information contained in an image and provide the image's URL and your query.\"\n    )\n    inputs = {\n        \"image_urls_list\": {\n            \"type\": \"array\",\n            \"description\": \"List of image URLs (S3, HTTP, or HTTPS). Supports s3://bucket/key, /bucket/key, http://, and https:// URLs.\",\n        },\n        \"query\": {\n            \"type\": \"string\",\n            \"description\": \"User's question to guide the analysis\"\n        }\n    }\n    output_type = \"array\"\n    category = ToolCategory.MULTIMODAL.value\n    tool_sign = ToolSign.MULTIMODAL_OPERATION.value\n\n    def __init__(\n            self,\n            observer: MessageObserver = Field(\n                description=\"Message observer\",\n                default=None,\n                exclude=True),\n            vlm_model: OpenAIVLModel = Field(\n                description=\"The VLM model to use\",\n                default=None,\n                exclude=True),\n            storage_client: MinIOStorageClient = Field(\n                description=\"Storage client for downloading files from S3 URLs、HTTP URLs、HTTPS URLs.\",\n                default=None,\n                exclude=True)\n    ):\n        super().__init__()\n        self.observer = observer\n        self.vlm_model = vlm_model\n        self.storage_client = storage_client\n\n        # Determine if the language is Chinese for internationalization\n        self._is_chinese = bool(observer and observer.lang == \"zh\")\n\n        # Create LoadSaveObjectManager with the storage client\n        self.mm = LoadSaveObjectManager(storage_client=self.storage_client)\n\n        # Dynamically apply the load_object decorator to forward method\n        self.forward = self.mm.load_object(\n            input_names=[\"image_urls_list\"])(self._forward_impl)\n\n        self.running_prompt_zh = \"正在分析图片...\"\n        self.running_prompt_en = \"Analyzing image...\"\n\n    def _forward_impl(self, image_urls_list: List[bytes], query: str) -> List[str]:\n        \"\"\"\n        Analyze images identified by S3 URL, HTTP URL, or HTTPS URL and return the identified text.\n\n        Note: This method is wrapped by load_object decorator which downloads\n        the image from S3 URL, HTTP URL, or HTTPS URL and passes bytes to this method.\n\n        Args:\n            image_urls_list: List of image bytes converted from URLs by the decorator.\n                             The load_object decorator converts URLs to bytes before calling this method.\n            query: User's question to guide the analysis\n\n        Returns:\n            List[str]: One analysis string per image that aligns with the order\n            of the provided images.\n\n        Raises:\n            Exception: If the image cannot be downloaded or analyzed.\n        \"\"\"\n        # Check if VLM model is available\n        if self.vlm_model is None:\n            error_msg_zh = \"视觉语言模型(VLM)未配置，请联系管理员配置VLM模型后重试\"\n            error_msg_en = \"Vision Language Model (VLM) is not configured. Please contact your administrator to configure the VLM model and try again.\"\n            error_msg = error_msg_zh if self._is_chinese else error_msg_en\n            logger.error(error_msg)\n            raise Exception(error_msg)\n\n        # Send tool run message\n        if self.observer:\n            running_prompt = self.running_prompt_zh if self._is_chinese else self.running_prompt_en\n            self.observer.add_message(\"\", ProcessType.TOOL, running_prompt)\n\n        if image_urls_list is None:\n            raise ValueError(\"image_urls cannot be None\")\n\n        if not isinstance(image_urls_list, list):\n            raise ValueError(\"image_urls must be a list of bytes\")\n\n        if not image_urls_list:\n            raise ValueError(\"image_urls must contain at least one image\")\n\n        # Load prompts from yaml file\n        language = self.observer.lang if self.observer else \"en\"\n        prompts = get_prompt_template(\n            template_type='analyze_image', language=language)\n        system_prompt = Template(\n            prompts['system_prompt'], undefined=StrictUndefined).render({'query': query})\n\n        try:\n            analysis_results: List[str] = []\n            for index, image_bytes in enumerate(image_urls_list, start=1):\n                logger.info(f\"Extracting image #{index}, query: {query}\")\n                image_stream = BytesIO(image_bytes)\n                try:\n                    response = self.vlm_model.analyze_image(\n                        image_input=image_stream,\n                        system_prompt=system_prompt\n                    )\n                except Exception as e:\n                    error_msg_zh = f\"图片{index}分析失败: {str(e)}。请检查VLM模型配置是否正确。\"\n                    error_msg_en = f\"Failed to analyze image {index}: {str(e)}. Please check if the VLM model is configured correctly.\"\n                    error_msg = error_msg_zh if self._is_chinese else error_msg_en\n                    raise Exception(error_msg)\n\n                analysis_results.append(response.content)\n\n            return analysis_results\n        except Exception as e:\n            logger.error(f\"Error analyzing image: {str(e)}\", exc_info=True)\n            error_msg = f\"Error analyzing image: {str(e)}\"\n            raise Exception(error_msg)\n"
  },
  {
    "path": "sdk/nexent/core/tools/analyze_text_file_tool.py",
    "content": "\"\"\"\nAnalyze Text File Tool\n\nExtracts content from text files (excluding images) and analyzes it using a large language model.\nSupports files from S3, HTTP, and HTTPS URLs.\n\"\"\"\nimport logging\nfrom typing import List, Optional\n\nfrom jinja2 import Template, StrictUndefined\nfrom pydantic import Field\nfrom smolagents.tools import Tool\n\nfrom ...core.utils.observer import MessageObserver, ProcessType\nfrom ...core.utils.prompt_template_utils import get_prompt_template\nfrom ...core.utils.tools_common_message import ToolCategory, ToolSign\nfrom ...storage import MinIOStorageClient\nfrom ...multi_modal.load_save_object import LoadSaveObjectManager\nfrom ...utils.http_client_manager import http_client_manager\n\n\nlogger = logging.getLogger(\"analyze_text_file_tool\")\n\n\nclass AnalyzeTextFileTool(Tool):\n    \"\"\"Tool for analyzing text file content using a large language model\"\"\"\n\n    name = \"analyze_text_file\"\n    description = (\n        \"Extract content from text files and analyze them using a large language model based on your query. \"\n        \"Supports multiple files from S3 URLs (s3://bucket/key or /bucket/key), HTTP, and HTTPS URLs. \"\n        \"The tool will extract the text content from each file and return an analysis based on your question.\"\n    )\n\n    inputs = {\n        \"file_url_list\": {\n            \"type\": \"array\",\n            \"description\": \"List of file URLs (S3, HTTP, or HTTPS). Supports s3://bucket/key, /bucket/key, http://, and https:// URLs.\"\n        },\n        \"query\": {\n            \"type\": \"string\",\n            \"description\": \"User's question to guide the analysis\"\n        }\n    }\n    output_type = \"array\"\n    category = ToolCategory.MULTIMODAL.value\n    tool_sign = ToolSign.MULTIMODAL_OPERATION.value\n\n    def __init__(\n        self,\n        storage_client: Optional[MinIOStorageClient] = Field(\n            description=\"Storage client for downloading files from S3 URLs、HTTP URLs、HTTPS URLs.\",\n            default=None,\n            exclude=True\n        ),\n        observer: MessageObserver = Field(\n            description=\"Message observer\",\n            default=None,\n            exclude=True\n        ),\n        data_process_service_url: str = Field(\n            description=\"URL of data process service\",\n            default=None,\n            exclude=True),\n        llm_model: str = Field(\n            description=\"The LLM model to use\",\n            default=None,\n            exclude=True)\n    ):\n        super().__init__()\n        self.storage_client = storage_client\n        self.observer = observer\n        self.llm_model = llm_model\n        self.data_process_service_url = data_process_service_url\n        self.mm = LoadSaveObjectManager(storage_client=self.storage_client)\n        self.time_out = 60 * 5\n\n        self.running_prompt_zh = \"正在分析文件...\"\n        self.running_prompt_en = \"Analyzing file...\"\n        # Dynamically apply the load_object decorator to forward method\n        self.forward = self.mm.load_object(\n            input_names=[\"file_url_list\"])(self._forward_impl)\n\n    def _forward_impl(\n        self,\n        file_url_list: List[bytes],\n        query: str,\n    ) -> List[str]:\n        \"\"\"\n        Analyze text file content using a large language model.\n\n        Note: This method is wrapped by load_object decorator which downloads\n        the image from S3 URL, HTTP URL, or HTTPS URL and passes bytes to this method.\n\n        Args:\n            file_url_list: List of file bytes converted from URLs by the decorator.\n                           The load_object decorator converts URLs to bytes before calling this method.\n            query: User's question to guide the analysis\n\n        Returns:\n            List[str]: One analysis string per file that aligns with the order\n        \"\"\"\n        # Send tool run message\n        if self.observer:\n            running_prompt = self.running_prompt_zh if self.observer.lang == \"zh\" else self.running_prompt_en\n            self.observer.add_message(\"\", ProcessType.TOOL, running_prompt)\n\n        if file_url_list is None:\n            raise ValueError(\"file_url_list cannot be None\")\n\n        if not isinstance(file_url_list, list):\n            raise ValueError(\"file_url_list must be a list of bytes\")\n\n        try:\n            analysis_results: List[str] = []\n\n            for index, single_file in enumerate(file_url_list, start=1):\n                logger.info(\n                    f\"Extracting text content from file #{index}, query: {query}\")\n                filename = f\"file_{index}.txt\"\n\n                # Step 1: Get file content\n                raw_text = self.process_text_file(filename, single_file)\n\n                if not raw_text:\n                    error_msg = f\"No text content extracted from file #{index}\"\n                    logger.error(error_msg)\n                    raise Exception(error_msg)\n\n                logger.info(\n                    f\"Analyzing text content with LLM for file #{index}, query: {query}\")\n\n                # Step 2: Analyze file content\n                try:\n                    text, _ = self.analyze_file(query, raw_text)\n                    analysis_results.append(text)\n                except Exception as analysis_error:\n                    logger.error(\n                        f\"Failed to analyze file #{index}: {analysis_error}\")\n                    analysis_results.append(str(analysis_error))\n\n            return analysis_results\n\n        except Exception as e:\n            logger.error(f\"Error analyzing text file: {str(e)}\", exc_info=True)\n            error_msg = f\"Error analyzing text file: {str(e)}\"\n            raise Exception(error_msg)\n\n    def process_text_file(self, filename: str, file_content: bytes,) -> str:\n        \"\"\"\n        Process text file, convert to text using external API\n        \"\"\"\n        # file_content is byte data, need to send to API through file upload\n        api_url = f\"{self.data_process_service_url}/tasks/process_text_file\"\n        logger.info(f\"Processing text file {filename} with API: {api_url}\")\n\n        raw_text = \"\"\n        try:\n            # Upload byte data as a file\n            files = {\n                'file': (filename, file_content, 'application/octet-stream')\n            }\n            data = {\n                'chunking_strategy': 'basic',\n                'timeout': self.time_out,\n            }\n            # Use shared HttpClientManager for connection pooling\n            client = http_client_manager.get_sync_client(\n                base_url=self.data_process_service_url,\n                timeout=float(self.time_out),\n                verify_ssl=True\n            )\n            response = client.post(api_url, files=files, data=data)\n\n            if response.status_code == 200:\n                result = response.json()\n                raw_text = result.get(\"text\", \"\")\n                logger.info(\n                    f\"File processed successfully: {raw_text[:200]}...{raw_text[-200:]}...， length: {len(raw_text)}\")\n            else:\n                error_detail = response.json().get('detail', 'unknown error') if response.headers.get(\n                    'content-type', '').startswith('application/json') else response.text\n                logger.error(\n                    f\"File processing failed (status code: {response.status_code}): {error_detail}\")\n                raise Exception(error_detail)\n\n        except Exception as e:\n            logger.error(\n                f\"Failed to process text file {filename}: {str(e)}\", exc_info=True)\n            raise\n\n        return raw_text\n\n    def analyze_file(self, query: str, raw_text: str,):\n        \"\"\"\n        Process text file, convert to text using external API\n        \"\"\"\n        language = getattr(self.observer, \"lang\",\n                           \"en\") if self.observer else \"en\"\n        prompts = get_prompt_template(\n            template_type='analyze_file', language=language)\n        system_prompt_template = Template(\n            prompts['system_prompt'], undefined=StrictUndefined)\n        user_prompt_template = Template(\n            prompts['user_prompt'], undefined=StrictUndefined)\n\n        system_prompt = system_prompt_template.render({'query': query})\n        user_prompt = user_prompt_template.render({})\n\n        result, truncation_percentage = self.llm_model.analyze_long_text(\n            text_content=raw_text,\n            system_prompt=system_prompt,\n            user_prompt=user_prompt\n        )\n        return result.content, truncation_percentage\n"
  },
  {
    "path": "sdk/nexent/core/tools/create_directory_tool.py",
    "content": "import json\nimport logging\nimport os\nfrom typing import Optional\nfrom pydantic import Field\nfrom smolagents.tools import Tool\n\nfrom ..utils.observer import MessageObserver, ProcessType\nfrom ..utils.tools_common_message import ToolSign, ToolCategory\n\nlogger = logging.getLogger(\"create_directory_tool\")\n\n\nclass CreateDirectoryTool(Tool):\n    \"\"\"Directory creation tool for creating directories\"\"\"\n    name = \"create_directory\"\n    description = \"Create a directory at the specified path. \" \\\n                  \"Path should be relative to the workspace (e.g., 'documents/subfolder'). \" \\\n                  \"Absolute paths are not allowed for security reasons. \" \\\n                  \"Will create parent directories if they don't exist. \" \\\n                  \"If directory already exists, operation will succeed without error.\"\n\n    inputs = {\n        \"directory_path\": {\"type\": \"string\", \"description\": \"Relative path where the directory should be created (e.g., 'documents/subfolder')\"},\n        \"permissions\": {\"type\": \"string\", \"description\": \"Directory permissions in octal format (e.g., '755')\", \"default\": \"755\", \"nullable\": True}\n    }\n    output_type = \"string\"\n    category = ToolCategory.FILE.value\n\n    tool_sign = ToolSign.FILE_OPERATION.value  # File operation tool identifier\n\n    def __init__(self, \n                 init_path: str = Field(description=\"Initial workspace path\", default=\"/mnt/nexent\"),\n                 observer: MessageObserver = Field(description=\"Message observer\", default=None, exclude=True)):\n        \"\"\"Initialize the CreateDirectoryTool.\n        \n        Args:\n            init_path (str): Initial workspace path for directory operations. Defaults to \"/mnt/nexent\".\n            observer (MessageObserver, optional): Message observer instance. Defaults to None.\n        \"\"\"\n        super().__init__()\n        self.init_path = os.path.abspath(init_path)\n        self.observer = observer\n        self.running_prompt_zh = \"正在创建文件夹...\"\n        self.running_prompt_en = \"Creating directory...\"\n\n    def _validate_path(self, directory_path: str) -> str:\n        \"\"\"Validate and resolve directory path within the workspace.\n        \n        Args:\n            directory_path (str): Input directory path\n            \n        Returns:\n            str: Validated absolute path\n            \n        Raises:\n            Exception: If path is outside workspace or invalid\n        \"\"\"\n        # Check for absolute path\n        if os.path.isabs(directory_path):\n            abs_path = os.path.abspath(directory_path)\n        else:\n            # Treat as relative path from init_path\n            abs_path = os.path.abspath(os.path.join(self.init_path, directory_path))\n        \n        # Normalize path to resolve any '..' or '.' components\n        abs_path = os.path.normpath(abs_path)\n        \n        # Check if the path is within the allowed workspace\n        if not abs_path.startswith(self.init_path):\n            raise Exception(f\"Permission denied: Directory operations are restricted to the workspace directory '{self.init_path}'. \"\n                          f\"Attempted path '{abs_path}' is outside the allowed area. \"\n                          f\"Please use relative paths within the workspace.\")\n        \n        return abs_path\n\n    def forward(self, directory_path: str, permissions: str = \"755\") -> str:\n        try:\n            # Send tool run message if observer is available\n            if self.observer:\n                running_prompt = self.running_prompt_zh if self.observer.lang == \"zh\" else self.running_prompt_en\n                self.observer.add_message(\"\", ProcessType.TOOL, running_prompt)\n                card_content = [{\"icon\": \"folder-plus\", \"text\": f\"Creating directory {directory_path}\"}]\n                self.observer.add_message(\"\", ProcessType.CARD, json.dumps(card_content, ensure_ascii=False))\n\n            # Validate directory path\n            if not directory_path or directory_path.strip() == \"\":\n                raise Exception(\"Directory path cannot be empty\")\n\n            # Validate and resolve path within workspace\n            abs_path = self._validate_path(directory_path)\n\n            # Validate permissions format\n            try:\n                octal_permissions = int(permissions, 8)\n            except ValueError:\n                raise Exception(f\"Invalid permissions format: '{permissions}'. Please use octal format (e.g., '755', '644').\")\n\n            # Check if directory already exists\n            already_exists = os.path.exists(abs_path)\n            if already_exists:\n                if not os.path.isdir(abs_path):\n                    raise Exception(f\"Path already exists but is not a directory: {directory_path}\")\n                logger.info(f\"Directory already exists: {abs_path}\")\n                if self.observer:\n                    info_msg = f\"目录已存在: {directory_path}\" if self.observer.lang == \"zh\" else f\"Directory already exists: {directory_path}\"\n                    self.observer.add_message(\"\", ProcessType.OTHER, info_msg)\n\n            # Create directory with parents if they don't exist\n            os.makedirs(abs_path, mode=octal_permissions, exist_ok=True)\n\n            # Set permissions explicitly (makedirs mode can be affected by umask)\n            os.chmod(abs_path, octal_permissions)\n\n            logger.info(f\"Successfully created/verified directory: {abs_path} with permissions: {permissions}\")\n            \n            # Prepare success message\n            # Show relative path in response for better UX\n            relative_path = os.path.relpath(abs_path, self.init_path)\n            success_msg = {\n                \"status\": \"success\",\n                \"directory_path\": relative_path,\n                \"absolute_path\": abs_path,\n                \"permissions\": permissions,\n                \"already_existed\": already_exists,\n                \"message\": f\"Directory {'verified' if already_exists else 'created successfully'} at {relative_path}\"\n            }\n\n            return json.dumps(success_msg, ensure_ascii=False)\n\n        except PermissionError as e:\n            logger.error(f\"Permission denied when creating directory: {directory_path}, error: {e}\")\n            error_msg = f\"Permission denied: Cannot create directory at {directory_path}. Check directory permissions.\"\n            raise Exception(error_msg)\n        \n        except OSError as e:\n            logger.error(f\"OS error when creating directory: {directory_path}, error: {e}\")\n            error_msg = f\"OS error: Cannot create directory at {directory_path}. {str(e)}\"\n            raise Exception(error_msg)\n        \n        except Exception as e:\n            logger.error(f\"Unexpected error when creating directory: {directory_path}, error: {e}\")\n            error_msg = f\"Failed to create directory: {str(e)}\"\n            raise Exception(error_msg) "
  },
  {
    "path": "sdk/nexent/core/tools/create_file_tool.py",
    "content": "import json\nimport logging\nimport os\nfrom typing import Optional\nfrom pydantic import Field\nfrom smolagents.tools import Tool\n\nfrom ..utils.observer import MessageObserver, ProcessType\nfrom ..utils.tools_common_message import ToolSign, ToolCategory\n\nlogger = logging.getLogger(\"create_file_tool\")\n\n\nclass CreateFileTool(Tool):\n    \"\"\"File creation tool for creating files and writing content\"\"\"\n    name = \"create_file\"\n    description = \"Create a file at the specified path and write content to it. \" \\\n                  \"Path should be relative to the workspace (e.g., 'documents/file.txt'). \" \\\n                  \"Absolute paths are not allowed for security reasons. \" \\\n                  \"If content is empty, creates an empty file. \" \\\n                  \"Supports custom encoding, defaults to utf-8. \" \\\n                  \"Will create parent directories if they don't exist.\"\n\n    inputs = {\n        \"file_path\": {\"type\": \"string\", \"description\": \"Relative path where the file should be created (e.g., 'documents/file.txt')\"},\n        \"content\": {\"type\": \"string\", \"description\": \"Content to write to the file. If empty, creates an empty file\", \"nullable\": True},\n        \"encoding\": {\"type\": \"string\", \"description\": \"File encoding, defaults to utf-8\", \"default\": \"utf-8\", \"nullable\": True}\n    }\n    output_type = \"string\"\n    category = ToolCategory.FILE.value\n\n    tool_sign = ToolSign.FILE_OPERATION.value  # File operation tool identifier\n\n    def __init__(self, \n                 init_path: str = Field(description=\"Initial workspace path\", default=\"/mnt/nexent\"),\n                 observer: MessageObserver = Field(description=\"Message observer\", default=None, exclude=True)):\n        \"\"\"Initialize the CreateFileTool.\n        \n        Args:\n            init_path (str): Initial workspace path for file operations. Defaults to \"/mnt/nexent\".\n            observer (MessageObserver, optional): Message observer instance. Defaults to None.\n        \"\"\"\n        super().__init__()\n        self.init_path = os.path.abspath(init_path)\n        self.observer = observer\n        self.running_prompt_zh = \"正在创建文件...\"\n        self.running_prompt_en = \"Creating file...\"\n\n    def _validate_path(self, file_path: str) -> str:\n        \"\"\"Validate and resolve file path within the workspace.\n        \n        Args:\n            file_path (str): Input file path\n            \n        Returns:\n            str: Validated absolute path\n            \n        Raises:\n            Exception: If path is outside workspace or invalid\n        \"\"\"\n        # Check for absolute path\n        if os.path.isabs(file_path):\n            abs_path = os.path.abspath(file_path)\n        else:\n            # Treat as relative path from init_path\n            abs_path = os.path.abspath(os.path.join(self.init_path, file_path))\n        \n        # Normalize path to resolve any '..' or '.' components\n        abs_path = os.path.normpath(abs_path)\n        \n        # Check if the path is within the allowed workspace\n        if not abs_path.startswith(self.init_path):\n            raise Exception(f\"Permission denied: File operations are restricted to the workspace directory '{self.init_path}'. \"\n                          f\"Attempted path '{abs_path}' is outside the allowed area. \"\n                          f\"Please use relative paths within the workspace.\")\n        \n        return abs_path\n\n    def forward(self, file_path: str, content: str = \"\", encoding: str = \"utf-8\") -> str:\n        try:\n            # Send tool run message if observer is available\n            if self.observer:\n                running_prompt = self.running_prompt_zh if self.observer.lang == \"zh\" else self.running_prompt_en\n                self.observer.add_message(\"\", ProcessType.TOOL, running_prompt)\n                card_content = [{\"icon\": \"file-plus\", \"text\": f\"Creating {file_path}\"}]\n                self.observer.add_message(\"\", ProcessType.CARD, json.dumps(card_content, ensure_ascii=False))\n\n            # Validate file path\n            if not file_path or file_path.strip() == \"\":\n                raise Exception(\"File path cannot be empty\")\n\n            # Validate and resolve path within workspace\n            abs_path = self._validate_path(file_path)\n            \n            # Create parent directories if they don't exist\n            parent_dir = os.path.dirname(abs_path)\n            if parent_dir and not os.path.exists(parent_dir):\n                os.makedirs(parent_dir, exist_ok=True)\n                logger.info(f\"Created parent directories: {parent_dir}\")\n\n            # Check if file already exists\n            if os.path.exists(abs_path):\n                logger.warning(f\"File already exists: {abs_path}\")\n                if self.observer:\n                    warning_msg = f\"文件已存在，将覆盖: {abs_path}\" if self.observer.lang == \"zh\" else f\"File already exists, will overwrite: {abs_path}\"\n                    self.observer.add_message(\"\", ProcessType.OTHER, warning_msg)\n\n            # Write content to file\n            with open(abs_path, 'w', encoding=encoding) as f:\n                f.write(content if content is not None else \"\")\n\n            logger.info(f\"Successfully created file: {abs_path} with encoding: {encoding}\")\n            \n            # Prepare success message\n            file_size = os.path.getsize(abs_path)\n            # Show relative path in response for better UX\n            relative_path = os.path.relpath(abs_path, self.init_path)\n            success_msg = {\n                \"status\": \"success\",\n                \"file_path\": relative_path,\n                \"absolute_path\": abs_path,\n                \"content_length\": len(content) if content else 0,\n                \"file_size_bytes\": file_size,\n                \"encoding\": encoding,\n                \"message\": f\"File created successfully at {relative_path}\"\n            }\n\n            return json.dumps(success_msg, ensure_ascii=False)\n\n        except PermissionError as e:\n            logger.error(f\"Permission denied when creating file: {file_path}, error: {e}\")\n            error_msg = f\"Permission denied: Cannot create file at {file_path}. Check file permissions.\"\n            raise Exception(error_msg)\n        \n        except UnicodeEncodeError as e:\n            logger.error(f\"Encoding error when creating file: {file_path}, encoding: {encoding}, error: {e}\")\n            error_msg = f\"Encoding error: Cannot write content with {encoding} encoding. Try a different encoding.\"\n            raise Exception(error_msg)\n        \n        except OSError as e:\n            logger.error(f\"OS error when creating file: {file_path}, error: {e}\")\n            error_msg = f\"OS error: Cannot create file at {file_path}. {str(e)}\"\n            raise Exception(error_msg)\n        \n        except Exception as e:\n            logger.error(f\"Unexpected error when creating file: {file_path}, error: {e}\")\n            error_msg = f\"Failed to create file: {str(e)}\"\n            raise Exception(error_msg) "
  },
  {
    "path": "sdk/nexent/core/tools/datamate_search_tool.py",
    "content": "import json\nimport logging\nfrom typing import Optional, List, Union\n\nfrom pydantic import Field\nfrom smolagents.tools import Tool\nfrom urllib.parse import urlparse\n\nfrom ...vector_database import DataMateCore\nfrom ..utils.observer import MessageObserver, ProcessType\nfrom ..utils.tools_common_message import SearchResultTextMessage, ToolCategory, ToolSign\n\n# Get logger instance\nlogger = logging.getLogger(\"datamate_search_tool\")\n\n\nclass DataMateSearchTool(Tool):\n    \"\"\"DataMate knowledge base search tool\"\"\"\n    name = \"datamate_search\"\n    description = (\n        \"Performs a DataMate knowledge base search based on your query then returns the top search results. \"\n        \"A tool for retrieving domain-specific knowledge, documents, and information stored in the DataMate knowledge base. \"\n        \"Use this tool when users ask questions related to specialized knowledge, technical documentation, \"\n        \"domain expertise, or any information that has been indexed in the DataMate knowledge base. \"\n        \"Suitable for queries requiring access to stored knowledge that may not be publicly available.\"\n    )\n    inputs = {\n        \"query\": {\n            \"type\": \"string\",\n            \"description\": \"The search query to perform.\",\n        },\n    }\n    output_type = \"string\"\n    category = ToolCategory.SEARCH.value\n\n    # Used to distinguish different index sources for summaries\n    tool_sign = ToolSign.DATAMATE_SEARCH.value\n\n    def __init__(\n        self,\n        server_url: str = Field(description=\"DataMate server url. (e.g., 'https://192.168.1.100:8080' or 'https://datamate.example.com:8443')\"),\n        verify_ssl: bool = Field(\n            description=\"Whether to verify SSL certificates for HTTPS connections\", default=False),\n        index_names: List[str] = Field(\n            description=\"The list of index names to search\"),\n        observer: MessageObserver = Field(\n            description=\"Message observer\", default=None, exclude=True),\n        top_k: int = Field(\n            description=\"Default maximum number of search results to return\", default=3),\n        threshold: float = Field(\n            description=\"Default similarity threshold for search results\", default=0.2),\n        kb_page: int = Field(\n            description=\"Page index when listing knowledge bases from DataMate\", default=0),\n        kb_page_size: int = Field(\n            description=\"Page size when listing knowledge bases from DataMate\", default=20),\n    ):\n        \"\"\"Initialize the DataMateSearchTool.\n\n        Args:\n            server_url (str): DataMate server URL (e.g., 'http://192.168.1.100:8080' or 'https://datamate.example.com:8443').\n            verify_ssl (bool, optional): Whether to verify SSL certificates for HTTPS connections. Defaults to False for HTTPS, True for HTTP.\n            index_names (List[str], optional): The list of index names to search. Defaults to None.\n            observer (MessageObserver, optional): Message observer instance. Defaults to None.\n            top_k (int, optional): Default maximum number of search results to return. Defaults to 3.\n            threshold (float, optional): Default similarity threshold for search results. Defaults to 0.2.\n            kb_page (int, optional): Page index when listing knowledge bases from DataMate. Defaults to 0.\n            kb_page_size (int, optional): Page size when listing knowledge bases from DataMate. Defaults to 20.\n        \"\"\"\n        super().__init__()\n\n        if not server_url:\n            raise ValueError(\"server_url is required for DataMateSearchTool\")\n\n        # Parse the URL\n        parsed_url = self._parse_server_url(server_url)\n\n        # Store parsed components\n        self.server_ip = parsed_url[\"host\"]\n        self.server_port = parsed_url[\"port\"]\n        self.use_https = parsed_url[\"use_https\"]\n        self.server_base_url = parsed_url[\"base_url\"]\n        self.index_names = [] if index_names is None else index_names\n        self.top_k = top_k\n        self.threshold = threshold\n\n        # Determine SSL verification setting\n        if verify_ssl is None:\n            # Default: don't verify SSL for HTTPS (for self-signed certificates), always verify for HTTP\n            self.verify_ssl = not self.use_https\n        else:\n            self.verify_ssl = verify_ssl\n\n        # Initialize DataMate vector database core with SSL verification settings\n        self.datamate_core = DataMateCore(\n            base_url=self.server_base_url,\n            verify_ssl=self.verify_ssl if self.use_https else True\n        )\n\n        self.kb_page = kb_page\n        self.kb_page_size = kb_page_size\n        self.observer = observer\n\n        self.record_ops = 1  # To record serial number\n        self.running_prompt_zh = \"DataMate知识库检索中...\"\n        self.running_prompt_en = \"Searching the DataMate knowledge base...\"\n\n    @staticmethod\n    def _parse_server_url(server_url: str) -> dict:\n        \"\"\"Parse server URL and extract components.\n\n        Args:\n            server_url: Server URL string (e.g., 'http://192.168.1.100:8080' or 'https://example.com:8443')\n\n        Returns:\n            dict: Parsed URL components containing:\n                - host: Server hostname or IP\n                - port: Server port\n                - use_https: Whether HTTPS is used\n                - base_url: Full base URL\n        \"\"\"\n\n        # Ensure URL has a scheme\n        if not server_url.startswith(('http://', 'https://')):\n            raise ValueError(\n                f\"server_url must include protocol (http:// or https://): {server_url}\")\n\n        parsed = urlparse(server_url)\n\n        if not parsed.hostname:\n            raise ValueError(f\"Invalid server_url format: {server_url}\")\n\n        # Determine port\n        if parsed.port:\n            port = parsed.port\n        else:\n            # Use default ports\n            port = 443 if parsed.scheme == 'https' else 80\n\n        # Validate port range\n        if not (1 <= port <= 65535):\n            raise ValueError(f\"Port {port} is not in valid range (1-65535)\")\n\n        use_https = parsed.scheme == 'https'\n        base_url = f\"{parsed.scheme}://{parsed.hostname}:{port}\".rstrip('/')\n\n        return {\n            \"host\": parsed.hostname,\n            \"port\": port,\n            \"use_https\": use_https,\n            \"base_url\": base_url\n        }\n\n    def forward(\n        self,\n        query: str,\n    ) -> str:\n        \"\"\"Execute DataMate search.\n\n        Args:\n            query: Search query text.\n        \"\"\"\n\n        # Send tool run message\n        if self.observer:\n            running_prompt = self.running_prompt_zh if self.observer.lang == \"zh\" else self.running_prompt_en\n            self.observer.add_message(\"\", ProcessType.TOOL, running_prompt)\n            card_content = [{\"icon\": \"search\", \"text\": query}]\n            self.observer.add_message(\"\", ProcessType.CARD, json.dumps(\n                card_content, ensure_ascii=False))\n\n        logger.info(\n            f\"DataMateSearchTool called with query: '{query}', base_url: '{self.server_base_url}', \"\n            f\"top_k: {self.top_k}, threshold: {self.threshold}, index_names: {self.index_names}\"\n        )\n\n        try:\n            # Step 1: Determine knowledge base IDs to search\n            knowledge_base_ids = self.index_names\n            if len(knowledge_base_ids) == 0:\n                return json.dumps(\"No knowledge base selected. No relevant information found.\", ensure_ascii=False)\n\n            # Step 2: Retrieve knowledge base content using DataMateCore hybrid search\n            kb_search_results = []\n            for knowledge_base_id in knowledge_base_ids:\n                kb_search = self.datamate_core.hybrid_search(\n                    query_text=query,\n                    index_names=[knowledge_base_id],\n                    top_k=self.top_k,\n                    weight_accurate=self.threshold,\n                )\n                if not kb_search:\n                    raise Exception(\n                        \"No results found! Try a less restrictive/shorter query.\")\n                kb_search_results.extend(kb_search)\n\n            # Format search results\n            search_results_json = []  # Organize search results into a unified format\n            search_results_return = []  # Format for input to the large model\n            for index, single_search_result in enumerate(kb_search_results):\n                # Extract fields from DataMate API response\n                entity_data = single_search_result.get(\"entity\", {})\n                metadata = self._parse_metadata(entity_data.get(\"metadata\"))\n                dataset_id = self._extract_dataset_id(\n                    metadata.get(\"absolute_directory_path\", \"\"))\n                file_id = metadata.get(\"original_file_id\")\n                download_url = self.datamate_core.client.build_file_download_url(\n                    dataset_id, file_id)\n\n                score_details = entity_data.get(\"scoreDetails\", {}) or {}\n                score_details.update({\n                    \"datamate_dataset_id\": dataset_id,\n                    \"datamate_file_id\": file_id,\n                    \"datamate_download_url\": download_url,\n                    \"datamate_base_url\": self.server_base_url.rstrip(\"/\")\n                })\n\n                search_result_message = SearchResultTextMessage(\n                    title=metadata.get(\"file_name\", \"\"),\n                    text=entity_data.get(\"text\", \"\"),\n                    source_type=\"datamate\",\n                    url=download_url,\n                    filename=metadata.get(\"file_name\", \"\"),\n                    published_date=entity_data.get(\"createTime\", \"\"),\n                    score=entity_data.get(\"score\", \"0\"),\n                    score_details=score_details,\n                    cite_index=self.record_ops + index,\n                    search_type=self.name,\n                    tool_sign=self.tool_sign,\n                )\n\n                search_results_json.append(search_result_message.to_dict())\n                search_results_return.append(\n                    search_result_message.to_model_dict())\n\n            self.record_ops += len(search_results_return)\n\n            # Record the detailed content of this search\n            if self.observer:\n                search_results_data = json.dumps(\n                    search_results_json, ensure_ascii=False)\n                self.observer.add_message(\n                    \"\", ProcessType.SEARCH_CONTENT, search_results_data)\n            return json.dumps(search_results_return, ensure_ascii=False)\n\n        except Exception as e:\n            error_msg = f\"Error during DataMate knowledge base search: {str(e)}\"\n            logger.error(error_msg)\n            raise Exception(error_msg)\n\n    @staticmethod\n    def _parse_metadata(metadata_raw: Optional[str]) -> dict:\n        \"\"\"Parse metadata payload safely.\"\"\"\n        if not metadata_raw:\n            return {}\n        if isinstance(metadata_raw, dict):\n            return metadata_raw\n        try:\n            return json.loads(metadata_raw)\n        except (json.JSONDecodeError, TypeError):\n            logger.warning(\n                \"Failed to parse metadata payload, falling back to empty metadata.\")\n            return {}\n\n    @staticmethod\n    def _extract_dataset_id(absolute_path: str) -> str:\n        \"\"\"Extract dataset identifier from an absolute directory path.\"\"\"\n        if not absolute_path:\n            return \"\"\n        segments = [segment for segment in absolute_path.strip(\n            \"/\").split(\"/\") if segment]\n        return segments[-1] if segments else \"\"\n"
  },
  {
    "path": "sdk/nexent/core/tools/delete_directory_tool.py",
    "content": "import json\nimport logging\nimport os\nimport shutil\nfrom typing import Optional\nfrom pydantic import Field\nfrom smolagents.tools import Tool\n\nfrom ..utils.observer import MessageObserver, ProcessType\nfrom ..utils.tools_common_message import ToolSign, ToolCategory\n\nlogger = logging.getLogger(\"delete_directory_tool\")\n\n\nclass DeleteDirectoryTool(Tool):\n    \"\"\"Directory deletion tool for deleting directories and their contents\"\"\"\n    name = \"delete_directory\"\n    description = \"Delete a directory at the specified path. \" \\\n                  \"Path should be relative to the workspace (e.g., 'documents/subfolder'). \" \\\n                  \"Absolute paths are not allowed for security reasons. \" \\\n                  \"This operation is irreversible and will delete the directory and all its contents. \" \\\n                  \"Use with caution as deleted directories cannot be recovered.\"\n\n    inputs = {\n        \"directory_path\": {\"type\": \"string\", \"description\": \"Relative path of the directory to delete (e.g., 'documents/subfolder')\"}\n    }\n    output_type = \"string\"\n    category = ToolCategory.FILE.value\n\n    tool_sign = ToolSign.FILE_OPERATION.value  # File operation tool identifier\n\n    def __init__(self, \n                 init_path: str = Field(description=\"Initial workspace path\", default=\"/mnt/nexent\"),\n                 observer: MessageObserver = Field(description=\"Message observer\", default=None, exclude=True)):\n        \"\"\"Initialize the DeleteDirectoryTool.\n        \n        Args:\n            init_path (str): Initial workspace path for directory operations. Defaults to \"/mnt/nexent\".\n            observer (MessageObserver, optional): Message observer instance. Defaults to None.\n        \"\"\"\n        super().__init__()\n        self.init_path = os.path.abspath(init_path)\n        self.observer = observer\n        self.running_prompt_zh = \"正在删除文件夹...\"\n        self.running_prompt_en = \"Deleting directory...\"\n\n    def _validate_path(self, directory_path: str) -> str:\n        \"\"\"Validate and resolve directory path within the workspace.\n        \n        Args:\n            directory_path (str): Input directory path\n            \n        Returns:\n            str: Validated absolute path\n            \n        Raises:\n            Exception: If path is outside workspace or invalid\n        \"\"\"\n        # Check for absolute path\n        if os.path.isabs(directory_path):\n            abs_path = os.path.abspath(directory_path)\n        else:\n            # Treat as relative path from init_path\n            abs_path = os.path.abspath(os.path.join(self.init_path, directory_path))\n        \n        # Normalize path to resolve any '..' or '.' components\n        abs_path = os.path.normpath(abs_path)\n        \n        # Check if the path is within the allowed workspace\n        if not abs_path.startswith(self.init_path):\n            raise Exception(f\"Permission denied: Directory operations are restricted to the workspace directory '{self.init_path}'. \"\n                          f\"Attempted path '{abs_path}' is outside the allowed area. \"\n                          f\"Please use relative paths within the workspace.\")\n        \n        # Additional safety check - don't allow deleting the workspace root\n        if abs_path == self.init_path:\n            raise Exception(f\"Permission denied: Cannot delete the workspace root directory '{self.init_path}'. \"\n                          f\"Please specify a subdirectory within the workspace.\")\n        \n        return abs_path\n\n    def forward(self, directory_path: str) -> str:\n        try:\n            # Send tool run message if observer is available\n            if self.observer:\n                running_prompt = self.running_prompt_zh if self.observer.lang == \"zh\" else self.running_prompt_en\n                self.observer.add_message(\"\", ProcessType.TOOL, running_prompt)\n                card_content = [{\"icon\": \"folder-minus\", \"text\": f\"Deleting directory {directory_path}\"}]\n                self.observer.add_message(\"\", ProcessType.CARD, json.dumps(card_content, ensure_ascii=False))\n\n            # Validate directory path\n            if not directory_path or directory_path.strip() == \"\":\n                raise Exception(\"Directory path cannot be empty\")\n\n            # Validate and resolve path within workspace\n            abs_path = self._validate_path(directory_path)\n            \n            # Check if directory exists\n            if not os.path.exists(abs_path):\n                raise Exception(f\"Directory does not exist: {directory_path}\")\n\n            # Check if it's a directory (not a file)\n            if not os.path.isdir(abs_path):\n                raise Exception(f\"Path is not a directory: {directory_path}. Use delete_file tool for files.\")\n\n            # Get directory metadata before deletion\n            dir_name = os.path.basename(abs_path)\n            \n            # Count contents before deletion\n            total_items = 0\n            total_size = 0\n            for root, dirs, files in os.walk(abs_path):\n                total_items += len(dirs) + len(files)\n                for file in files:\n                    try:\n                        file_path = os.path.join(root, file)\n                        total_size += os.path.getsize(file_path)\n                    except (OSError, IOError):\n                        # Skip files that can't be accessed\n                        pass\n\n            # Safety warning for large directories\n            if total_items > 100:\n                logger.warning(f\"Deleting large directory with {total_items} items: {abs_path}\")\n                if self.observer:\n                    warning_msg = f\"警告：正在删除包含 {total_items} 个项目的大文件夹\" if self.observer.lang == \"zh\" else f\"Warning: Deleting large directory with {total_items} items\"\n                    self.observer.add_message(\"\", ProcessType.OTHER, warning_msg)\n\n            # Delete the directory and all its contents\n            shutil.rmtree(abs_path)\n\n            logger.info(f\"Successfully deleted directory: {abs_path}\")\n            \n            # Prepare success message\n            # Show relative path in response for better UX\n            relative_path = os.path.relpath(abs_path, self.init_path)\n            success_msg = {\n                \"status\": \"success\",\n                \"directory_path\": relative_path,\n                \"absolute_path\": abs_path,\n                \"directory_name\": dir_name,\n                \"items_deleted\": total_items,\n                \"size_deleted_bytes\": total_size,\n                \"message\": f\"Directory deleted successfully: {relative_path}\"\n            }\n\n            return json.dumps(success_msg, ensure_ascii=False)\n\n        except FileNotFoundError as e:\n            logger.error(f\"Directory not found: {directory_path}, error: {e}\")\n            error_msg = f\"Directory not found: {directory_path}. The directory may have already been deleted or never existed.\"\n            raise Exception(error_msg)\n        \n        except PermissionError as e:\n            logger.error(f\"Permission denied when deleting directory: {directory_path}, error: {e}\")\n            error_msg = f\"Permission denied: Cannot delete directory at {directory_path}. Check directory permissions or if files are in use.\"\n            raise Exception(error_msg)\n        \n        except OSError as e:\n            logger.error(f\"OS error when deleting directory: {directory_path}, error: {e}\")\n            error_msg = f\"OS error: Cannot delete directory at {directory_path}. {str(e)}\"\n            raise Exception(error_msg)\n        \n        except Exception as e:\n            logger.error(f\"Unexpected error when deleting directory: {directory_path}, error: {e}\")\n            error_msg = f\"Failed to delete directory: {str(e)}\"\n            raise Exception(error_msg) "
  },
  {
    "path": "sdk/nexent/core/tools/delete_file_tool.py",
    "content": "import json\nimport logging\nimport os\nfrom typing import Optional\nfrom pydantic import Field\nfrom smolagents.tools import Tool\n\nfrom ..utils.observer import MessageObserver, ProcessType\nfrom ..utils.tools_common_message import ToolSign, ToolCategory\n\nlogger = logging.getLogger(\"delete_file_tool\")\n\n\nclass DeleteFileTool(Tool):\n    \"\"\"File deletion tool for deleting a single file\"\"\"\n    name = \"delete_file\"\n    description = \"Delete a single file at the specified path. \" \\\n                  \"Path should be relative to the workspace (e.g., 'documents/file.txt'). \" \\\n                  \"Absolute paths are not allowed for security reasons. \" \\\n                  \"This operation is irreversible and only works on individual files, not directories. \" \\\n                  \"Use with caution as deleted files cannot be recovered.\"\n\n    inputs = {\n        \"file_path\": {\"type\": \"string\", \"description\": \"Relative path of the file to delete (e.g., 'documents/file.txt')\"}\n    }\n    output_type = \"string\"\n    category = ToolCategory.FILE.value\n\n    tool_sign = ToolSign.FILE_OPERATION.value  # File operation tool identifier\n\n    def __init__(self, \n                 init_path: str = Field(description=\"Initial workspace path\", default=\"/mnt/nexent\"),\n                 observer: MessageObserver = Field(description=\"Message observer\", default=None, exclude=True)):\n        \"\"\"Initialize the DeleteFileTool.\n        \n        Args:\n            init_path (str): Initial workspace path for file operations. Defaults to \"/mnt/nexent\".\n            observer (MessageObserver, optional): Message observer instance. Defaults to None.\n        \"\"\"\n        super().__init__()\n        self.init_path = os.path.abspath(init_path)\n        self.observer = observer\n        self.running_prompt_zh = \"正在删除文件...\"\n        self.running_prompt_en = \"Deleting file...\"\n\n    def _validate_path(self, file_path: str) -> str:\n        \"\"\"Validate and resolve file path within the workspace.\n        \n        Args:\n            file_path (str): Input file path\n            \n        Returns:\n            str: Validated absolute path\n            \n        Raises:\n            Exception: If path is outside workspace or invalid\n        \"\"\"\n        # Check for absolute path\n        if os.path.isabs(file_path):\n            abs_path = os.path.abspath(file_path)\n        else:\n            # Treat as relative path from init_path\n            abs_path = os.path.abspath(os.path.join(self.init_path, file_path))\n        \n        # Normalize path to resolve any '..' or '.' components\n        abs_path = os.path.normpath(abs_path)\n        \n        # Check if the path is within the allowed workspace\n        if not abs_path.startswith(self.init_path):\n            raise Exception(f\"Permission denied: File operations are restricted to the workspace directory '{self.init_path}'. \"\n                          f\"Attempted path '{abs_path}' is outside the allowed area. \"\n                          f\"Please use relative paths within the workspace.\")\n        \n        return abs_path\n\n    def forward(self, file_path: str) -> str:\n        try:\n            # Send tool run message if observer is available\n            if self.observer:\n                running_prompt = self.running_prompt_zh if self.observer.lang == \"zh\" else self.running_prompt_en\n                self.observer.add_message(\"\", ProcessType.TOOL, running_prompt)\n                card_content = [{\"icon\": \"trash\", \"text\": f\"Deleting {file_path}\"}]\n                self.observer.add_message(\"\", ProcessType.CARD, json.dumps(card_content, ensure_ascii=False))\n\n            # Validate file path\n            if not file_path or file_path.strip() == \"\":\n                raise Exception(\"File path cannot be empty\")\n\n            # Validate and resolve path within workspace\n            abs_path = self._validate_path(file_path)\n            \n            # Check if file exists\n            if not os.path.exists(abs_path):\n                raise Exception(f\"File does not exist: {abs_path}\")\n\n            # Check if it's a file (not a directory)\n            if not os.path.isfile(abs_path):\n                raise Exception(f\"Path is not a file: {abs_path}. This tool only deletes files, not directories.\")\n\n            # Get file metadata before deletion\n            file_stats = os.stat(abs_path)\n            file_size = file_stats.st_size\n            file_name = os.path.basename(abs_path)\n\n            # Safety check for important system files\n            protected_patterns = ['.env', 'config', 'passwd', 'shadow', 'hosts']\n            if any(pattern in file_name.lower() for pattern in protected_patterns):\n                logger.warning(f\"Attempting to delete potentially important file: {abs_path}\")\n                if self.observer:\n                    warning_msg = f\"警告：正在删除可能重要的文件: {file_name}\" if self.observer.lang == \"zh\" else f\"Warning: Deleting potentially important file: {file_name}\"\n                    self.observer.add_message(\"\", ProcessType.OTHER, warning_msg)\n\n            # Delete the file\n            os.remove(abs_path)\n\n            logger.info(f\"Successfully deleted file: {abs_path}\")\n            \n            # Prepare success message\n            # Show relative path in response for better UX\n            relative_path = os.path.relpath(abs_path, self.init_path)\n            success_msg = {\n                \"status\": \"success\",\n                \"file_path\": relative_path,\n                \"absolute_path\": abs_path,\n                \"file_name\": file_name,\n                \"file_size_bytes\": file_size,\n                \"message\": f\"File deleted successfully: {relative_path}\"\n            }\n\n            return json.dumps(success_msg, ensure_ascii=False)\n\n        except FileNotFoundError as e:\n            logger.error(f\"File not found: {file_path}, error: {e}\")\n            error_msg = f\"File not found: {file_path}. The file may have already been deleted or never existed.\"\n            raise Exception(error_msg)\n        \n        except PermissionError as e:\n            logger.error(f\"Permission denied when deleting file: {file_path}, error: {e}\")\n            error_msg = f\"Permission denied: Cannot delete file at {file_path}. Check file permissions or if the file is in use.\"\n            raise Exception(error_msg)\n        \n        except IsADirectoryError as e:\n            logger.error(f\"Attempted to delete directory: {file_path}, error: {e}\")\n            error_msg = f\"Cannot delete directory: {file_path}. This tool only deletes individual files.\"\n            raise Exception(error_msg)\n        \n        except OSError as e:\n            logger.error(f\"OS error when deleting file: {file_path}, error: {e}\")\n            error_msg = f\"OS error: Cannot delete file at {file_path}. {str(e)}\"\n            raise Exception(error_msg)\n        \n        except Exception as e:\n            logger.error(f\"Unexpected error when deleting file: {file_path}, error: {e}\")\n            error_msg = f\"Failed to delete file: {str(e)}\"\n            raise Exception(error_msg) "
  },
  {
    "path": "sdk/nexent/core/tools/dify_search_tool.py",
    "content": "import json\nimport logging\nfrom typing import Dict, List, Optional, Any, Tuple\nimport httpx\n\nfrom pydantic import Field\nfrom smolagents.tools import Tool\n\nfrom ..utils.observer import MessageObserver, ProcessType\nfrom ..utils.tools_common_message import SearchResultTextMessage, ToolCategory, ToolSign\nfrom ...utils.http_client_manager import http_client_manager\n\n\n# Get logger instance\nlogger = logging.getLogger(\"dify_search_tool\")\n\n\nclass DifySearchTool(Tool):\n    \"\"\"Dify knowledge base search tool\"\"\"\n\n    name = \"dify_search\"\n    description = (\n        \"Performs a search on a Dify knowledge base based on your query then returns the top search results. \"\n        \"A tool for retrieving domain-specific knowledge, documents, and information stored in Dify knowledge bases. \"\n        \"Use this tool when users ask questions related to specialized knowledge, technical documentation, \"\n        \"domain expertise, or any information that has been indexed in Dify knowledge bases. \"\n        \"Suitable for queries requiring access to stored knowledge that may not be publicly available.\"\n    )\n    inputs = {\n        \"query\": {\"type\": \"string\", \"description\": \"The search query to perform.\"},\n    }\n    output_type = \"string\"\n    category = ToolCategory.SEARCH.value\n    tool_sign = ToolSign.DIFY_SEARCH.value\n\n    def __init__(\n        self,\n        server_url: str = Field(description=\"Dify API base URL. (e.g., 'https://api.dify.ai/v1')\"),\n        api_key: str = Field(description=\"Dify API key with Bearer token\"),\n        dataset_ids: str = Field(\n            description=\"JSON string array of Dify dataset IDs\"),\n        top_k: int = Field(\n            description=\"Maximum number of search results per dataset\", default=3),\n        search_method: str = Field(\n            description=\"Search method: keyword_search, semantic_search, full_text_search, hybrid_search\",\n            default=\"semantic_search\",\n        ),\n        observer: MessageObserver = Field(\n            description=\"Message observer\", default=None, exclude=True),\n    ):\n        \"\"\"Initialize the DifySearchTool.\n\n        Args:\n            server_url (str): Dify API base URL\n            api_key (str): Dify API key with Bearer token\n            dataset_ids (str): JSON string array of Dify dataset IDs, e.g., '[\"dataset_id_1\", \"dataset_id_2\"]'\n            top_k (int, optional): Number of results to return per dataset. Defaults to 3.\n            search_method (str, optional): Search method. Options: keyword_search, semantic_search, full_text_search, hybrid_search. Defaults to \"semantic_search\".\n            observer (MessageObserver, optional): Message observer instance. Defaults to None.\n        \"\"\"\n        super().__init__()\n\n        # Validate server_url\n        if not server_url or not isinstance(server_url, str):\n            raise ValueError(\n                \"server_url is required and must be a non-empty string\")\n\n        # Validate api_key\n        if not api_key or not isinstance(api_key, str):\n            raise ValueError(\n                \"api_key is required and must be a non-empty string\")\n\n        # Parse and validate dataset_ids from string or list\n        if not dataset_ids:\n            raise ValueError(\n                \"dataset_ids is required and must be a non-empty JSON string array or list\")\n        try:\n            # Handle both JSON string array and plain list\n            if isinstance(dataset_ids, str):\n                parsed_ids = json.loads(dataset_ids)\n            else:\n                parsed_ids = dataset_ids\n            if not isinstance(parsed_ids, list) or not parsed_ids:\n                raise ValueError(\n                    \"dataset_ids must be a non-empty array of strings\")\n            self.dataset_ids = [str(item) for item in parsed_ids]\n        except (json.JSONDecodeError, TypeError) as e:\n            raise ValueError(\n                f\"dataset_ids must be a valid JSON string array or list: {str(e)}\")\n\n        self.server_url = server_url.rstrip(\"/\")\n        self.api_key = api_key\n        self.top_k = top_k\n        self.search_method = search_method\n        self.observer = observer\n\n        # Cache HTTP client for reuse (uses shared HttpClientManager internally)\n        self._http_client = http_client_manager.get_sync_client(\n            base_url=self.server_url,\n            timeout=30.0,\n            verify_ssl=True\n        )\n\n        self.record_ops = 1  # To record serial number\n        self.running_prompt_zh = \"Dify知识库检索中...\"\n        self.running_prompt_en = \"Searching Dify knowledge base...\"\n\n    def forward(\n        self,\n        query: str\n    ) -> str:\n        # Send tool run message\n        if self.observer:\n            running_prompt = self.running_prompt_zh if self.observer.lang == \"zh\" else self.running_prompt_en\n            self.observer.add_message(\"\", ProcessType.TOOL, running_prompt)\n            card_content = [{\"icon\": \"search\", \"text\": query}]\n            self.observer.add_message(\"\", ProcessType.CARD, json.dumps(\n                card_content, ensure_ascii=False))\n\n        # Use instance default top_k and search_method\n        search_top_k = self.top_k\n        search_method = self.search_method\n\n        # Log the search parameters\n        logger.info(\n            f\"DifySearchTool called with query: '{query}', top_k: {search_top_k}, search_method: '{search_method}'\"\n        )\n\n        # Perform searches across all datasets\n        all_search_results = []\n        search_results_json = []  # Organize search results into a unified format\n        search_results_return = []  # Format for input to the large model\n\n        try:\n            # Store results with their dataset_id for URL generation\n            all_search_results = []\n            for dataset_id in self.dataset_ids:\n                search_results_data = self._search_dify_knowledge_base(\n                    query, search_top_k, search_method, dataset_id)\n                search_results = search_results_data.get(\"records\", [])\n                # Add dataset_id to each result for URL generation\n                for result in search_results:\n                    result[\"dataset_id\"] = dataset_id\n                all_search_results.extend(search_results)\n\n            if not all_search_results:\n                raise Exception(\n                    \"No results found! Try a less restrictive/shorter query.\")\n\n            # Collect all document info for batch URL fetching\n            document_dataset_pairs = []\n            for result in all_search_results:\n                segment = result.get(\"segment\", {})\n                document = segment.get(\"document\", {})\n                document_id = document.get(\"id\", \"\")\n                dataset_id = result.get(\"dataset_id\")\n                if document_id:  # Only collect non-empty document_ids\n                    document_dataset_pairs.append((document_id, dataset_id))\n\n            # Batch get download URLs\n            download_url_map = self._batch_get_download_urls(\n                document_dataset_pairs)\n\n            # Process all results\n            for index, result in enumerate(all_search_results):\n                # Extract segment information\n                segment = result.get(\"segment\", {})\n\n                # Build title from document name or segment content\n                document = segment.get(\"document\", {})\n                title = document.get(\"name\", \"\")\n                document_id = document.get(\"id\", \"\")\n\n                # Get download URL from the batch result\n                download_url = download_url_map.get(document_id, \"\")\n\n                # Build the search result message\n                search_result_message = SearchResultTextMessage(\n                    title=title,\n                    text=segment.get(\"content\", \"\"),\n                    source_type=\"dify\",  # Dify knowledge base source type\n                    url=download_url,  # Use the actual download URL from Dify API\n                    filename=document.get(\"name\", \"\"),\n                    published_date=\"\",  # Dify doesn't provide creation time in a standard format\n                    score=result.get(\"score\", 0),\n                    score_details={},  # No additional score details from Dify\n                    cite_index=self.record_ops + index,\n                    search_type=self.name,\n                    tool_sign=self.tool_sign,\n                )\n\n                search_results_json.append(search_result_message.to_dict())\n                search_results_return.append(\n                    search_result_message.to_model_dict())\n\n            self.record_ops += len(search_results_return)\n\n            # Record the detailed content of this search\n            if self.observer:\n                search_results_data = json.dumps(\n                    search_results_json, ensure_ascii=False)\n                self.observer.add_message(\n                    \"\", ProcessType.SEARCH_CONTENT, search_results_data)\n\n            return json.dumps(search_results_return, ensure_ascii=False)\n\n        except Exception as e:\n            error_msg = f\"Error searching Dify knowledge base: {str(e)}\"\n            logger.error(error_msg)\n            raise Exception(error_msg)\n\n    def _get_document_download_url(self, document_id: str, dataset_id: str = None) -> str:\n        \"\"\"Get download URL for a document from Dify API.\n\n        Args:\n            document_id (str): Document ID from search results\n            dataset_id (str, optional): Dataset ID. If not provided, uses the first dataset_id from the list.\n\n        Returns:\n            str: Download URL for the document\n        \"\"\"\n        if not document_id:\n            return \"\"\n\n        # Use provided dataset_id or fall back to first one in the list\n        targetdataset_id = dataset_id if dataset_id is not None else self.dataset_ids[0]\n        url = f\"{self.server_url}/datasets/{targetdataset_id}/documents/{document_id}/upload-file\"\n\n        headers = {\n            \"Content-Type\": \"application/json\",\n            \"Authorization\": f\"Bearer {self.api_key}\"\n        }\n\n        try:\n            # Use cached HTTP client for requests\n            response = self._http_client.get(url, headers=headers)\n            response.raise_for_status()\n\n            result = response.json()\n            return result.get(\"download_url\", \"\")\n\n        except httpx.RequestError as e:\n            logger.warning(\n                f\"Failed to get download URL for document {document_id}: {str(e)}\")\n            return \"\"\n        except httpx.HTTPStatusError as e:\n            logger.warning(\n                f\"HTTP error getting download URL for document {document_id}: {str(e)}\")\n            return \"\"\n        except json.JSONDecodeError as e:\n            logger.warning(\n                f\"Failed to parse download URL response for document {document_id}: {str(e)}\")\n            return \"\"\n        except KeyError as e:\n            logger.warning(\n                f\"Unexpected download URL response format for document {document_id}: missing key {str(e)}\")\n            return \"\"\n\n    def _batch_get_download_urls(self, document_dataset_pairs: List[Tuple[str, str]]) -> Dict[str, str]:\n        \"\"\"Batch get download URLs for multiple documents.\n\n        Args:\n            document_dataset_pairs: List of (document_id, dataset_id) tuples\n\n        Returns:\n            Dict mapping document_id to download_url\n        \"\"\"\n        url_map = {}\n\n        for document_id, dataset_id in document_dataset_pairs:\n            if document_id:  # Only process non-empty document_ids\n                download_url = self._get_document_download_url(\n                    document_id, dataset_id)\n                url_map[document_id] = download_url\n            else:\n                url_map[document_id] = \"\"\n\n        return url_map\n\n    def _search_dify_knowledge_base(self, query: str, top_k: int, search_method: str, dataset_id: str) -> Dict[str, Any]:\n        \"\"\"Perform search on Dify knowledge base via API.\n\n        Args:\n            query (str): Search query\n            top_k (int): Number of results to return\n            search_method (str): Search method (keyword_search, semantic_search, full_text_search, hybrid_search)\n            dataset_id (str): Dataset ID to search in\n\n        Returns:\n            Dict: Search results with records\n        \"\"\"\n        url = f\"{self.server_url}/datasets/{dataset_id}/retrieve\"\n\n        headers = {\n            \"Content-Type\": \"application/json\",\n            \"Authorization\": f\"Bearer {self.api_key}\"\n        }\n\n        payload = {\n            \"query\": query,\n            \"retrieval_model\": {\n                \"search_method\": search_method,\n                \"reranking_enable\": False,\n                \"reranking_mode\": None,\n                \"reranking_model\": {\n                    \"reranking_provider_name\": \"\",\n                    \"reranking_model_name\": \"\"\n                },\n                \"weights\": None,\n                \"top_k\": top_k,\n                \"score_threshold_enabled\": False,\n                \"score_threshold\": None\n            }\n        }\n\n        try:\n            # Use cached HTTP client for requests\n            response = self._http_client.post(\n                url, headers=headers, json=payload)\n            response.raise_for_status()\n\n            result = response.json()\n\n            # Validate that required keys are present\n            if \"records\" not in result:\n                raise Exception(\n                    \"Unexpected Dify API response format: missing 'records' key\")\n\n            return result\n\n        except httpx.RequestError as e:\n            raise Exception(f\"Dify API request failed: {str(e)}\")\n        except httpx.HTTPStatusError as e:\n            raise Exception(f\"Dify API HTTP error: {str(e)}\")\n        except json.JSONDecodeError as e:\n            raise Exception(f\"Failed to parse Dify API response: {str(e)}\")\n        except KeyError as e:\n            raise Exception(\n                f\"Unexpected Dify API response format: missing key {str(e)}\")\n"
  },
  {
    "path": "sdk/nexent/core/tools/exa_search_tool.py",
    "content": "import asyncio\nimport json\nimport logging\nimport os\nimport aiohttp\nfrom exa_py import Exa\nfrom smolagents.tools import Tool\nfrom pydantic import Field\n\nfrom ..utils.observer import MessageObserver, ProcessType\nfrom ..utils.tools_common_message import SearchResultTextMessage, ToolSign, ToolCategory\n\n# Get logger instance\nlogger = logging.getLogger(\"exa_search_tool\")\n\n\nclass ExaSearchTool(Tool):\n    name = \"exa_search\"\n    description = \"Performs a internet search based on your query (think a Google search) then returns the top search results. \" \\\n                  \"A tool for retrieving publicly available information, news, general knowledge, or non-proprietary data from the internet. \" \\\n                  \"Use this for real-time open-domain updates, broad topics, or or general knowledge queries\" \\\n\n    inputs = {\"query\": {\"type\": \"string\", \"description\": \"The search query to perform.\"}}\n    output_type = \"string\"\n    category = ToolCategory.SEARCH.value\n    tool_sign = ToolSign.EXA_SEARCH.value  # Used to distinguish different index sources in summary\n\n    def __init__(self, exa_api_key:str=Field(description=\"EXA API key\"),\n                 observer: MessageObserver=Field(description=\"Message observer\", default=None, exclude=True),\n                 max_results:int=Field(description=\"Maximum number of search results\", default=3),\n                 image_filter: bool = Field(description=\"Whether to enable image filtering\", default=True)\n     ):\n\n        super().__init__()\n\n        self.observer = observer\n        self.exa = Exa(api_key=exa_api_key)\n        self.max_results = max_results\n        self.image_filter = image_filter\n        self.record_ops = 1  # Used to record sequence number\n        self.running_prompt_en = \"Searching the web...\"\n        self.running_prompt_zh = \"网络搜索中...\"\n\n        # TODO add data_process_service\n        self.data_process_service = os.getenv(\"DATA_PROCESS_SERVICE\")\n\n    def forward(self, query: str) -> str:\n        # Perform exa search\n        exa_search_result = self.exa.search_and_contents(\n            query,\n            text={\"max_characters\": 2000},\n            livecrawl=\"always\",\n            extras={\"links\": 0, \"image_links\": 10},\n            num_results=self.max_results\n        )\n        if len(exa_search_result.results) == 0:\n            raise Exception(\n                'No results found! Try a less restrictive/shorter query.')\n\n        # Send tool running message\n        if self.observer:\n            running_prompt = self.running_prompt_zh if self.observer.lang==\"zh\" else self.running_prompt_en\n            self.observer.add_message(\"\", ProcessType.TOOL, running_prompt)\n            card_content = [{\"icon\": \"search\", \"text\": query}]\n            self.observer.add_message(\"\", ProcessType.CARD, json.dumps(\n                card_content, ensure_ascii=False))\n\n        images_list_url = []\n        search_results_json = []  # Format search results into a unified structure\n        search_results_return = []  # Format for input to the large model\n        for index, single_result in enumerate(exa_search_result.results):\n            search_result_message = SearchResultTextMessage(\n                title=single_result.title,\n                url=single_result.url,\n                text=single_result.text,\n                published_date=single_result.published_date,\n                source_type=\"url\",\n                filename=\"\",\n                score=\"\",\n                score_details={},\n                cite_index=self.record_ops + index,\n                search_type=self.name,\n                tool_sign=self.tool_sign\n            )\n            search_results_json.append(search_result_message.to_dict())\n            search_results_return.append(search_result_message.to_model_dict())\n            images_list_url.extend(single_result.extras[\"image_links\"])\n\n        self.record_ops += len(search_results_return)\n\n        # Deduplicate and filter image list\n        images_list_url = list(dict.fromkeys(images_list_url))\n        if len(images_list_url) > 0:\n            if self.image_filter:\n                self._filter_images(images_list_url, query)\n            else:\n                if self.observer:\n                    search_images_list_json = json.dumps(\n                        {\"images_url\": images_list_url}, ensure_ascii=False)\n                    self.observer.add_message(\n                        \"\", ProcessType.PICTURE_WEB, search_images_list_json)\n\n        # Record detailed content of this search\n        if self.observer:\n            search_results_data = json.dumps(\n                search_results_json, ensure_ascii=False)\n            self.observer.add_message(\n                \"\", ProcessType.SEARCH_CONTENT, search_results_data)\n        return json.dumps(search_results_return, ensure_ascii=False)\n\n    def _filter_images(self, images_list_url, query):\n        \"\"\"\n        Execute image filtering operation directly using the data processing service\n        :param images_list_url: List of image URLs to filter\n        :param query: Search query, used to filter images related to the query\n        \"\"\"\n        try:\n            # Define positive and negative prompts\n            positive_prompt = query\n            negative_prompt = \"logo or banner or background or advertisement or icon or avatar\"\n\n            # Define the async function to perform the filtering\n            async def process_images():\n                # Maximum number of concurrent requests\n                semaphore = asyncio.Semaphore(10)  # Limit concurrent requests\n\n                # Create a ClientSession\n                connector = aiohttp.TCPConnector(\n                    limit=0)  # No limit on connections\n                timeout = aiohttp.ClientTimeout(total=2)  # 2 seconds timeout\n\n                async with aiohttp.ClientSession(connector=connector, timeout=timeout) as session:\n                    # Create a function to process a single image\n                    async def process_single_image(img_url):\n                        async with semaphore:  # Limit concurrency\n                            try:\n                                # Create API endpoint URL\n                                api_url = f\"{self.data_process_service}/tasks/filter_important_image\"\n\n                                # Prepare form data\n                                data = {\n                                    'image_url': img_url,\n                                    'positive_prompt': positive_prompt,\n                                    'negative_prompt': negative_prompt\n                                }\n\n                                # Make async API request\n                                async with session.post(api_url, data=data) as response:\n                                    if response.status != 200:\n                                        logger.info(\n                                            f\"API error for {img_url}: {response.status}\")\n                                        return None\n\n                                    result = await response.json()\n                                    if result.get(\"is_important\", False):\n                                        logger.info(f\"Important image: {img_url}\")\n                                        return img_url\n                                    return None\n                            except Exception as e:\n                                logger.info(\n                                    f\"Error processing image {img_url}: {str(e)}\")\n                                return None\n\n                    # Process all images concurrently\n                    tasks = [process_single_image(url) for url in images_list_url]\n                    results = await asyncio.gather(*tasks)\n\n                    # Filter out None results\n                    filtered_images = [\n                        url for url in results if url is not None]\n\n                    # Notify results through observer after filtering\n                    if self.observer:\n                        # Send the filtered images list\n                        filtered_images_json = json.dumps(\n                            {\"images_url\": filtered_images}, ensure_ascii=False)\n                        self.observer.add_message(\n                            \"\", ProcessType.PICTURE_WEB, filtered_images_json)\n\n            # Create a new event loop and run the async function in the current thread\n            loop = asyncio.new_event_loop()\n            asyncio.set_event_loop(loop)\n            try:\n                loop.run_until_complete(process_images())\n            finally:\n                loop.close()\n\n        except Exception as e:\n            # Handle exceptions in filtering process, log the error\n            logger.info(f\"Image filtering error: {str(e)}\")\n            # Send unfiltered image_url in case of error\n            if self.observer:\n                filtered_images_json = json.dumps(\n                    {\"images_url\": images_list_url}, ensure_ascii=False)\n                self.observer.add_message(\n                    \"\", ProcessType.PICTURE_WEB, filtered_images_json)\n"
  },
  {
    "path": "sdk/nexent/core/tools/get_email_tool.py",
    "content": "import email\nimport logging\nimport imaplib\nimport json\nfrom datetime import datetime, timedelta\nfrom email.header import decode_header\nfrom typing import List\n\nfrom smolagents.tools import Tool\nfrom pydantic import Field\n\nfrom ..utils.tools_common_message import ToolCategory\n\nlogger = logging.getLogger(\"get_email_tool\")\n\nclass GetEmailTool(Tool):\n    name = \"get_email\"\n    description = (\n        \"Get emails from email server. Supports filtering emails by time range and sender (sender must be an email address, not a name or non-ASCII string; subject filtering is not supported due to IMAP limitations).\"\n    )\n\n    inputs = {\n        \"days\": {\"type\": \"integer\", \"description\": \"Get emails from the past few days, default is 7 days\", \"default\": 7,\n                 \"nullable\": True},\n        \"sender\": {\"type\": \"string\", \"description\": \"Filter by sender (must be an email address, not a name or non-ASCII string)\", \"nullable\": True},\n        \"max_emails\": {\"type\": \"integer\", \"description\": \"Maximum number of emails to retrieve, default is 10\",\n                       \"default\": 10, \"nullable\": True}}\n    output_type = \"string\"\n    category = ToolCategory.EMAIL.value\n\n    def __init__(self, imap_server: str=Field(description=\"IMAP Server Address\"),\n                 imap_port: int=Field(description=\"IMAP Server Port\"), \n                 username: str=Field(description=\"IMAP Server Username\"), \n                 password: str=Field(description=\"IMAP Server Password\"), \n                 use_ssl: bool=Field(description=\"Use SSL\", default=True),\n                 timeout: int = Field(description=\"Timeout\", default=30)):\n        super().__init__()\n        self.imap_server = imap_server\n        self.imap_port = imap_port\n        self.username = username\n        self.password = password\n        self.use_ssl = use_ssl\n        self.timeout = timeout\n\n    def _decode_subject(self, subject):\n        \"\"\"Decode email subject, fallback to utf-8 or latin1 for unknown encodings\"\"\"\n        if subject is None:\n            return \"\"\n        decoded_chunks = []\n        for chunk, encoding in decode_header(subject):\n            if isinstance(chunk, bytes):\n                try:\n                    if encoding:\n                        decoded_chunks.append(chunk.decode(encoding, errors='replace'))\n                    else:\n                        decoded_chunks.append(chunk.decode('utf-8', errors='replace'))\n                except Exception:\n                    try:\n                        decoded_chunks.append(chunk.decode('utf-8', errors='replace'))\n                    except Exception:\n                        decoded_chunks.append(chunk.decode('latin1', errors='replace'))\n            else:\n                decoded_chunks.append(str(chunk))\n        return ''.join(decoded_chunks)\n\n    def _parse_email(self, msg):\n        \"\"\"Parse email content, decode body with fallback to utf-8 or latin1\"\"\"\n        email_data = {\"subject\": self._decode_subject(msg[\"subject\"]), \"from\": msg[\"from\"], \"date\": msg[\"date\"],\n            \"body\": \"\", \"attachments\": []}\n\n        def safe_decode(payload, encoding=None):\n            if payload is None:\n                return \"\"\n            if encoding is None:\n                encoding = 'utf-8'\n            try:\n                return payload.decode(encoding, errors='replace')\n            except Exception:\n                try:\n                    return payload.decode('utf-8', errors='replace')\n                except Exception:\n                    return payload.decode('latin1', errors='replace')\n\n        if msg.is_multipart():\n            for part in msg.walk():\n                content_type = part.get_content_type()\n                if content_type == \"text/plain\":\n                    try:\n                        payload = part.get_payload(decode=True)\n                        encoding = part.get_content_charset()\n                        email_data[\"body\"] = safe_decode(payload, encoding)\n                    except Exception:\n                        email_data[\"body\"] = part.get_payload()\n                elif part.get_filename():\n                    email_data[\"attachments\"].append(part.get_filename())\n        else:\n            try:\n                payload = msg.get_payload(decode=True)\n                encoding = msg.get_content_charset()\n                email_data[\"body\"] = safe_decode(payload, encoding)\n            except Exception:\n                email_data[\"body\"] = msg.get_payload()\n\n        return email_data\n\n    def forward(self, days: int = 7, sender: str = None, max_emails: int = 10) -> List[str]:\n        try:\n            # Connect to IMAP server\n            mail = imaplib.IMAP4_SSL(self.imap_server, self.imap_port) if self.use_ssl else imaplib.IMAP4(\n                self.imap_server, self.imap_port)\n            mail.login(self.username, self.password)\n            mail.select('INBOX')\n\n            # Build search criteria\n            search_criteria = []\n\n            # Add time condition\n            if days:\n                date = (datetime.now() - timedelta(days=days)).strftime(\"%d-%b-%Y\")\n                search_criteria.append(f'(SINCE \"{date}\")')\n\n            # Add sender condition\n            if sender:\n                search_criteria.append(f'(FROM \"{sender}\")')\n\n            # Execute search\n            search_query = ' '.join(search_criteria)\n            logger.info(f\"Searching emails with criteria: {search_query}\")\n            _, message_numbers = mail.search(None, search_query)\n\n            # Fetch emails\n            formatted_emails = []\n            for num in message_numbers[0].split()[:max_emails]:\n                _, msg_data = mail.fetch(num, '(RFC822)')\n                email_body = msg_data[0][1]\n                msg = email.message_from_bytes(email_body)\n                parsed_email = self._parse_email(msg)\n\n                # Create JSON formatted email content\n                email_json = {\"subject\": parsed_email['subject'], \"date\": parsed_email['date'],\n                    \"from\": parsed_email['from'], \"body\": parsed_email['body']}\n\n                formatted_emails.append(json.dumps(email_json, ensure_ascii=False))\n\n            # Close connection\n            mail.close()\n            mail.logout()\n\n            return formatted_emails\n\n        except imaplib.IMAP4.error as e:\n            logger.error(f\"IMAP Error: {str(e)}\")\n            return [json.dumps({\"error\": f\"Failed to retrieve emails: {str(e)}\"}, ensure_ascii=False)]\n        except Exception as e:\n            logger.error(f\"Unexpected Error: {str(e)}\")\n            return [json.dumps({\"error\": f\"An unexpected error occurred: {str(e)}\"}, ensure_ascii=False)]\n        "
  },
  {
    "path": "sdk/nexent/core/tools/idata_search_tool.py",
    "content": "import json\nimport logging\nfrom typing import Dict, List, Optional, Any\nimport httpx\nfrom urllib.parse import urlencode\n\nfrom pydantic import Field\nfrom smolagents.tools import Tool\n\nfrom ..utils.observer import MessageObserver, ProcessType\nfrom ..utils.tools_common_message import SearchResultTextMessage, ToolCategory, ToolSign\nfrom ...utils.http_client_manager import http_client_manager\n\n\n# Get logger instance\nlogger = logging.getLogger(\"idata_search_tool\")\n\n\nclass IdataSearchTool(Tool):\n    \"\"\"iData knowledge base search tool\"\"\"\n\n    name = \"idata_search\"\n    description = (\n        \"Performs a search on an iData knowledge base based on your query then returns the top search results. \"\n        \"A tool for retrieving domain-specific knowledge, documents, and information stored in iData knowledge bases. \"\n        \"Use this tool when users ask questions related to specialized knowledge, technical documentation, \"\n        \"domain expertise, or any information that has been indexed in iData knowledge bases. \"\n        \"Suitable for queries requiring access to stored knowledge that may not be publicly available.\"\n    )\n    inputs = {\n        \"question\": {\"type\": \"string\", \"description\": \"The search query to perform.\"},\n    }\n    output_type = \"string\"\n    category = ToolCategory.SEARCH.value\n    tool_sign = ToolSign.IDATA_SEARCH.value\n\n    def __init__(\n        self,\n        server_url: str = Field(description=\"iData API base URL\"),\n        api_key: str = Field(description=\"iData API key with Bearer token\"),\n        user_id: str = Field(description=\"iData user ID\"),\n        knowledge_space_id: str = Field(\n            description=\"iData knowledge space ID\"),\n        dataset_ids: str = Field(\n            description=\"JSON string array of iData knowledge base IDs\"),\n        rerank_model_id: str = Field(description=\"Rerank model ID\"),\n        top_k: int = Field(\n            description=\"Maximum number of search results\", default=10),\n        similarity_threshold: float = Field(\n            description=\"Rerank similarity threshold score\", default=-10.0),\n        keyword_similarity_weight: float = Field(\n            description=\"Keyword similarity weight\", default=0.10),\n        vector_similarity_weight: float = Field(\n            description=\"Vector similarity weight\", default=0.3),\n        observer: MessageObserver = Field(\n            description=\"Message observer\", default=None, exclude=True),\n    ):\n        \"\"\"Initialize the IdataSearchTool.\n\n        Args:\n            server_url (str): iData API base URL\n            api_key (str): iData API key with Bearer token\n            user_id (str): iData user ID\n            knowledge_space_id (str): iData knowledge space ID\n            dataset_ids (str): JSON string array of iData knowledge base IDs, e.g., '[\"kb_id_1\", \"kb_id_2\"]'\n            rerank_model_id (str): Rerank model ID\n            top_k (int, optional): Number of results to return. Defaults to 10.\n            similarity_threshold (float, optional): Rerank similarity threshold. Defaults to -10.0.\n            keyword_similarity_weight (float, optional): Keyword similarity weight. Defaults to 0.10.\n            vector_similarity_weight (float, optional): Vector similarity weight. Defaults to 0.3.\n            observer (MessageObserver, optional): Message observer instance. Defaults to None.\n        \"\"\"\n        super().__init__()\n\n        # Validate server_url\n        if not server_url or not isinstance(server_url, str):\n            raise ValueError(\n                \"server_url is required and must be a non-empty string\")\n\n        # Validate api_key\n        if not api_key or not isinstance(api_key, str):\n            raise ValueError(\n                \"api_key is required and must be a non-empty string\")\n\n        # Validate user_id\n        if not user_id or not isinstance(user_id, str):\n            raise ValueError(\n                \"user_id is required and must be a non-empty string\")\n\n        # Validate knowledge_space_id\n        if not knowledge_space_id or not isinstance(knowledge_space_id, str):\n            raise ValueError(\n                \"knowledge_space_id is required and must be a non-empty string\")\n\n        # Validate rerank_model_id\n        if not rerank_model_id or not isinstance(rerank_model_id, str):\n            raise ValueError(\n                \"rerank_model_id is required and must be a non-empty string\")\n\n        # Parse and validate dataset_ids from string or list\n        if not dataset_ids:\n            raise ValueError(\n                \"dataset_ids is required and must be a non-empty JSON string array or list\")\n        try:\n            # Handle both JSON string array and plain list\n            if isinstance(dataset_ids, str):\n                parsed_ids = json.loads(dataset_ids)\n            else:\n                parsed_ids = dataset_ids\n            if not isinstance(parsed_ids, list) or not parsed_ids:\n                raise ValueError(\n                    \"dataset_ids must be a non-empty array of strings\")\n            self.dataset_ids = [str(item) for item in parsed_ids]\n        except (json.JSONDecodeError, TypeError) as e:\n            raise ValueError(\n                f\"dataset_ids must be a valid JSON string array or list: {str(e)}\")\n\n        self.server_url = server_url.rstrip(\"/\")\n        self.api_key = api_key\n        self.user_id = user_id\n        self.knowledge_space_id = knowledge_space_id\n        self.rerank_model_id = rerank_model_id\n        self.top_k = top_k\n        self.similarity_threshold = similarity_threshold\n        self.keyword_similarity_weight = keyword_similarity_weight\n        self.vector_similarity_weight = vector_similarity_weight\n        self.observer = observer\n\n        # Cache HTTP client for reuse (uses shared HttpClientManager internally)\n        # Note: ssl_verify is set to False as per requirement (self-signed certificate)\n        self._http_client = http_client_manager.get_sync_client(\n            base_url=self.server_url,\n            timeout=30.0,\n            verify_ssl=False\n        )\n\n        self.record_ops = 1  # To record serial number\n        self.running_prompt_zh = \"iData知识库检索中...\"\n        self.running_prompt_en = \"Searching iData knowledge base...\"\n\n    def forward(\n        self,\n        question: str\n    ) -> str:\n        # Send tool run message\n        if self.observer:\n            running_prompt = self.running_prompt_zh if self.observer.lang == \"zh\" else self.running_prompt_en\n            self.observer.add_message(\"\", ProcessType.TOOL, running_prompt)\n            card_content = [{\"icon\": \"search\", \"text\": question}]\n            self.observer.add_message(\"\", ProcessType.CARD, json.dumps(\n                card_content, ensure_ascii=False))\n\n        # Log the search parameters\n        logger.info(\n            f\"IdataSearchTool called with question: '{question}', top_k: {self.top_k}\"\n        )\n\n        search_results_json = []  # Organize search results into a unified format\n        search_results_return = []  # Format for input to the large model\n\n        try:\n            # Build knowledge base filter\n            knowledge_base_filter = []\n            for kb_id in self.dataset_ids:\n                knowledge_base_filter.append({\n                    \"knowledgeBaseId\": kb_id,\n                    \"metas\": []\n                })\n\n            # Build request payload\n            payload = {\n                \"userId\": self.user_id,\n                \"knowledgeBaseFilter\": knowledge_base_filter,\n                \"question\": question,\n                \"rankTopN\": self.top_k,\n                \"rerankModelId\": self.rerank_model_id,\n                \"similarityThreshold\": self.similarity_threshold,\n                \"keywordSimilarityWeight\": self.keyword_similarity_weight,\n                \"vectorSimilarityWeight\": self.vector_similarity_weight\n            }\n\n            # Perform search\n            result = self._search_idata_knowledge_base(payload)\n\n            # Parse response\n            data = result.get(\"data\", {})\n            retrieval_data = data.get(\"retrievalData\", [])\n\n            if not retrieval_data:\n                raise Exception(\n                    \"No results found! Try a less restrictive/shorter query.\")\n\n            # Extract chunks from the first retrieval data entry\n            chunks = retrieval_data[0].get(\"chunks\", [])\n\n            if not chunks:\n                raise Exception(\n                    \"No chunks found in search results! Try a different query.\")\n\n            # Process all chunks\n            for index, chunk in enumerate(chunks):\n                # Extract chunk information\n                document_id = chunk.get(\"documentId\", \"\")\n                document_name = chunk.get(\"documentName\", \"\")\n                content = chunk.get(\"content\", \"\")\n                dataset_id = chunk.get(\"datasetId\", \"\")\n                create_time = chunk.get(\"createTime\", 0)\n                re_rank_score = chunk.get(\"reRankScore\", 0)\n                vs_score = chunk.get(\"vsScore\", 0)\n                es_score = chunk.get(\"esScore\", 0)\n                title = chunk.get(\"title\", document_name)\n\n                # Build download URL\n                download_url = self._build_download_url(\n                    document_id, dataset_id)\n\n                # Build score details\n                score_details = {\n                    \"reRankScore\": re_rank_score,\n                    \"vsScore\": vs_score,\n                    \"esScore\": es_score\n                }\n\n                # Convert create_time from milliseconds to ISO format string\n                published_date = \"\"\n                if create_time:\n                    try:\n                        from datetime import datetime\n                        # Convert milliseconds to seconds\n                        timestamp = create_time / 1000\n                        published_date = datetime.fromtimestamp(\n                            timestamp).isoformat()\n                    except Exception:\n                        published_date = \"\"\n\n                # Build the search result message\n                search_result_message = SearchResultTextMessage(\n                    title=title or document_name,\n                    text=content,\n                    source_type=\"idata\",  # iData knowledge base source type\n                    url=download_url,\n                    filename=document_name,\n                    published_date=published_date,\n                    score=str(re_rank_score) if re_rank_score else None,\n                    score_details=score_details,\n                    cite_index=self.record_ops + index,\n                    search_type=self.name,\n                    tool_sign=self.tool_sign,\n                )\n\n                search_results_json.append(search_result_message.to_dict())\n                search_results_return.append(\n                    search_result_message.to_model_dict())\n\n            self.record_ops += len(search_results_return)\n\n            # Record the detailed content of this search\n            if self.observer:\n                search_results_data = json.dumps(\n                    search_results_json, ensure_ascii=False)\n                self.observer.add_message(\n                    \"\", ProcessType.SEARCH_CONTENT, search_results_data)\n\n            return json.dumps(search_results_return, ensure_ascii=False)\n\n        except Exception as e:\n            error_msg = f\"Error searching iData knowledge base: {str(e)}\"\n            logger.error(error_msg)\n            raise Exception(error_msg)\n\n    def _build_download_url(self, document_id: str, dataset_id: str) -> str:\n        \"\"\"Build download URL for a document from iData API.\n\n        Args:\n            document_id (str): Document ID from search results\n            dataset_id (str): Dataset/Knowledge base ID from chunk\n\n        Returns:\n            str: Download URL for the document\n        \"\"\"\n        if not document_id:\n            return \"\"\n\n        # If dataset_id is empty, try to use the first knowledge base ID as fallback\n        knowledge_base_id = dataset_id\n        if not knowledge_base_id and self.dataset_ids:\n            knowledge_base_id = self.dataset_ids[0]\n\n        if not knowledge_base_id:\n            return \"\"\n\n        # Build URL with query parameters\n        params = {\n            \"userId\": self.user_id,\n            \"knowledgeBaseId\": knowledge_base_id,\n            \"documentId\": document_id\n        }\n        query_string = urlencode(params)\n        url = f\"{self.server_url}/apiaccess/modelmate/north/machine/v1/documents/download?{query_string}\"\n\n        return url\n\n    def _search_idata_knowledge_base(self, payload: Dict[str, Any]) -> Dict[str, Any]:\n        \"\"\"Perform search on iData knowledge base via API.\n\n        Args:\n            payload (Dict[str, Any]): Request payload\n\n        Returns:\n            Dict: Search results with retrievalData\n        \"\"\"\n        url = f\"{self.server_url}/apiaccess/modelmate/north/machine/v1/retrievals\"\n\n        headers = {\n            \"Content-Type\": \"application/json\",\n            \"Authorization\": f\"Bearer {self.api_key}\"\n        }\n\n        try:\n            # Use cached HTTP client for requests\n            # Note: All requests use self._http_client which was configured with verify_ssl=False\n            # to support self-signed certificates (see __init__ method)\n            response = self._http_client.post(\n                url, headers=headers, json=payload)\n            response.raise_for_status()\n\n            result = response.json()\n\n            # Validate response format\n            code = result.get(\"code\", \"\")\n            if code != \"1\":\n                msg = result.get(\"msg\", \"Unknown error\")\n                raise Exception(f\"iData API error: {msg}\")\n\n            # Validate that required keys are present\n            if \"data\" not in result:\n                raise Exception(\n                    \"Unexpected iData API response format: missing 'data' key\")\n\n            data = result.get(\"data\", {})\n            if \"retrievalData\" not in data:\n                raise Exception(\n                    \"Unexpected iData API response format: missing 'retrievalData' key\")\n\n            return result\n\n        except httpx.RequestError as e:\n            raise Exception(f\"iData API request failed: {str(e)}\")\n        except httpx.HTTPStatusError as e:\n            raise Exception(f\"iData API HTTP error: {str(e)}\")\n        except json.JSONDecodeError as e:\n            raise Exception(f\"Failed to parse iData API response: {str(e)}\")\n        except KeyError as e:\n            raise Exception(\n                f\"Unexpected iData API response format: missing key {str(e)}\")\n"
  },
  {
    "path": "sdk/nexent/core/tools/knowledge_base_search_tool.py",
    "content": "import json\nimport logging\nfrom typing import List\n\nfrom pydantic import Field\nfrom smolagents.tools import Tool\n\nfrom ...vector_database.base import VectorDatabaseCore\nfrom ..models.embedding_model import BaseEmbedding\nfrom ..utils.observer import MessageObserver, ProcessType\nfrom ..utils.tools_common_message import SearchResultTextMessage, ToolCategory, ToolSign\n\n\n# Get logger instance\nlogger = logging.getLogger(\"knowledge_base_search_tool\")\n\n\nclass KnowledgeBaseSearchTool(Tool):\n    \"\"\"Knowledge base search tool\"\"\"\n\n    name = \"knowledge_base_search\"\n    description = (\n        \"Performs a local knowledge base search based on your query then returns the top search results. \"\n        \"A tool for retrieving domain-specific knowledge, documents, and information stored in the local knowledge base. \"\n        \"Use this tool when users ask questions related to specialized knowledge, technical documentation, \"\n        \"domain expertise, personal notes, or any information that has been indexed in the knowledge base. \"\n        \"Suitable for queries requiring access to stored knowledge that may not be publicly available.\"\n    )\n    inputs = {\n        \"query\": {\"type\": \"string\", \"description\": \"The search query to perform.\"},\n    }\n    output_type = \"string\"\n    category = ToolCategory.SEARCH.value\n\n    # Used to distinguish different index sources for summaries\n    tool_sign = ToolSign.KNOWLEDGE_BASE.value\n\n    def __init__(\n        self,\n        top_k: int = Field(\n            description=\"Maximum number of search results\", default=3),\n        index_names: List[str] = Field(\n            description=\"The list of index names to search\"),\n        search_mode: str = Field(\n            description=\"the search mode, optional values: hybrid, accurate, semantic\",\n            default=\"hybrid\",\n        ),\n        observer: MessageObserver = Field(\n            description=\"Message observer\", default=None, exclude=True),\n        embedding_model: BaseEmbedding = Field(\n            description=\"The embedding model to use\", default=None, exclude=True),\n        vdb_core: VectorDatabaseCore = Field(\n            description=\"Vector database client\", default=None, exclude=True),\n    ):\n        \"\"\"Initialize the KBSearchTool.\n\n        Args:\n            top_k (int, optional): Number of results to return. Defaults to 3.\n            observer (MessageObserver, optional): Message observer instance. Defaults to None.\n\n        Raises:\n            ValueError: If language is not supported\n        \"\"\"\n        super().__init__()\n        self.top_k = top_k\n        self.observer = observer\n        self.vdb_core = vdb_core\n        self.index_names = [] if index_names is None else index_names\n        self.search_mode = search_mode\n        self.embedding_model = embedding_model\n\n        self.record_ops = 1  # To record serial number\n        self.running_prompt_zh = \"知识库检索中...\"\n        self.running_prompt_en = \"Searching the knowledge base...\"\n\n\n    def forward(self, query: str) -> str:\n        # Send tool run message\n        if self.observer:\n            running_prompt = self.running_prompt_zh if self.observer.lang == \"zh\" else self.running_prompt_en\n            self.observer.add_message(\"\", ProcessType.TOOL, running_prompt)\n            card_content = [{\"icon\": \"search\", \"text\": query}]\n            self.observer.add_message(\"\", ProcessType.CARD, json.dumps(\n                card_content, ensure_ascii=False))\n\n        # Use the instance index_names and search_mode\n        search_index_names = self.index_names\n        search_mode = self.search_mode\n\n        # Log the index_names being used for this search\n        logger.info(\n            f\"KnowledgeBaseSearchTool called with query: '{query}', search_mode: '{search_mode}', index_names: {search_index_names}\"\n        )\n\n        if len(search_index_names) == 0:\n            return json.dumps(\"No knowledge base selected. No relevant information found.\", ensure_ascii=False)\n\n        if search_mode == \"hybrid\":\n            kb_search_data = self.search_hybrid(\n                query=query, index_names=search_index_names)\n        elif search_mode == \"accurate\":\n            kb_search_data = self.search_accurate(\n                query=query, index_names=search_index_names)\n        elif search_mode == \"semantic\":\n            kb_search_data = self.search_semantic(\n                query=query, index_names=search_index_names)\n        else:\n            raise Exception(\n                f\"Invalid search mode: {search_mode}, only support: hybrid, accurate, semantic\")\n\n        kb_search_results = kb_search_data[\"results\"]\n\n        if not kb_search_results:\n            raise Exception(\n                \"No results found! Try a less restrictive/shorter query.\")\n\n        search_results_json = []  # Organize search results into a unified format\n        search_results_return = []  # Format for input to the large model\n        for index, single_search_result in enumerate(kb_search_results):\n            # Temporarily correct the source_type stored in the knowledge base\n            source_type = single_search_result.get(\"source_type\", \"\")\n            source_type = \"file\" if source_type in [\n                \"local\", \"minio\"] else source_type\n            title = single_search_result.get(\"title\")\n            if not title:\n                title = single_search_result.get(\"filename\", \"\")\n            search_result_message = SearchResultTextMessage(\n                title=title,\n                text=single_search_result.get(\"content\", \"\"),\n                source_type=source_type,\n                url=single_search_result.get(\"path_or_url\", \"\"),\n                filename=single_search_result.get(\"filename\", \"\"),\n                published_date=single_search_result.get(\"create_time\", \"\"),\n                score=single_search_result.get(\"score\", 0),\n                score_details=single_search_result.get(\"score_details\", {}),\n                cite_index=self.record_ops + index,\n                search_type=self.name,\n                tool_sign=self.tool_sign,\n            )\n\n            search_results_json.append(search_result_message.to_dict())\n            search_results_return.append(search_result_message.to_model_dict())\n\n        self.record_ops += len(search_results_return)\n\n        # Record the detailed content of this search\n        if self.observer:\n            search_results_data = json.dumps(\n                search_results_json, ensure_ascii=False)\n            self.observer.add_message(\n                \"\", ProcessType.SEARCH_CONTENT, search_results_data)\n        return json.dumps(search_results_return, ensure_ascii=False)\n\n    def search_hybrid(self, query, index_names):\n        try:\n            results = self.vdb_core.hybrid_search(\n                index_names=index_names, query_text=query, embedding_model=self.embedding_model, top_k=self.top_k\n            )\n\n            # Format results\n            formatted_results = []\n            for result in results:\n                doc = result[\"document\"]\n                doc[\"score\"] = result[\"score\"]\n                # Include source index in results\n                doc[\"index\"] = result[\"index\"]\n                formatted_results.append(doc)\n\n            return {\n                \"results\": formatted_results,\n                \"total\": len(formatted_results),\n            }\n        except Exception as e:\n            raise Exception(f\"Error during semantic search: {str(e)}\")\n\n    def search_accurate(self, query, index_names):\n        try:\n            results = self.vdb_core.accurate_search(\n                index_names=index_names, query_text=query, top_k=self.top_k)\n\n            # Format results\n            formatted_results = []\n            for result in results:\n                doc = result[\"document\"]\n                doc[\"score\"] = result[\"score\"]\n                # Include source index in results\n                doc[\"index\"] = result[\"index\"]\n                formatted_results.append(doc)\n\n            return {\n                \"results\": formatted_results,\n                \"total\": len(formatted_results),\n            }\n        except Exception as e:\n            raise Exception(detail=f\"Error during accurate search: {str(e)}\")\n\n    def search_semantic(self, query, index_names):\n        try:\n            results = self.vdb_core.semantic_search(\n                index_names=index_names, query_text=query, embedding_model=self.embedding_model, top_k=self.top_k\n            )\n\n            # Format results\n            formatted_results = []\n            for result in results:\n                doc = result[\"document\"]\n                doc[\"score\"] = result[\"score\"]\n                # Include source index in results\n                doc[\"index\"] = result[\"index\"]\n                formatted_results.append(doc)\n\n            return {\n                \"results\": formatted_results,\n                \"total\": len(formatted_results),\n            }\n        except Exception as e:\n            raise Exception(detail=f\"Error during semantic search: {str(e)}\")\n"
  },
  {
    "path": "sdk/nexent/core/tools/linkup_search_tool.py",
    "content": "import json\nimport logging\nimport os\n\nfrom linkup import LinkupClient, LinkupSearchImageResult, LinkupSearchTextResult\nfrom smolagents.tools import Tool\nfrom pydantic import Field\n\nfrom ..utils.observer import MessageObserver, ProcessType\nfrom ..utils.tools_common_message import SearchResultTextMessage, ToolSign, ToolCategory\n\nlogger = logging.getLogger(\"linkup_search_tool\")\n\nclass LinkupSearchTool(Tool):\n    name = \"linkup_search\"\n    description = (\n        \"Performs a search using the Linkup API and returns the top search results. \"\n        \"A tool for retrieving publicly available information, news, general knowledge, or non-proprietary data from the internet. \"\n        \"Use this for real-time open-domain updates, broad topics, or general knowledge queries.\"\n    )\n    inputs = {\"query\": {\"type\": \"string\", \"description\": \"The search query to perform.\"}}\n    output_type = \"string\"\n    category = ToolCategory.SEARCH.value\n    tool_sign = ToolSign.LINKUP_SEARCH.value  # Used to distinguish different index sources in summary\n\n    def __init__(\n        self,\n        linkup_api_key: str = Field(description=\"Linkup API key\"),\n        observer: MessageObserver = Field(description=\"Message observer\", default=None, exclude=True),\n        max_results: int = Field(description=\"Maximum number of search results\", default=3),\n        image_filter: bool = Field(description=\"Whether to enable image filtering\", default=True)\n    ):\n        super().__init__()\n        self.observer = observer\n        self.client = LinkupClient(api_key=linkup_api_key)\n        self.max_results = max_results\n        self.record_ops = 1\n        self.running_prompt_en = \"Searching the web...\"\n        self.running_prompt_zh = \"网络搜索中...\"\n        self.image_filter = image_filter\n        self.data_process_service = os.getenv(\"DATA_PROCESS_SERVICE\")\n\n    def forward(self, query: str) -> str:\n        # Perform linkup search\n        response = self.client.search(\n            query=query,\n            depth=\"standard\",\n            output_type=\"searchResults\",\n            include_images=True,\n        )\n        results = response.results[:self.max_results]\n        if len(results) == 0:\n            raise Exception('No results found! Try a less restrictive/shorter query.')\n\n        # Send tool running message\n        if self.observer:\n            running_prompt = self.running_prompt_zh if self.observer.lang == \"zh\" else self.running_prompt_en\n            self.observer.add_message(\"\", ProcessType.TOOL, running_prompt)\n            card_content = [{\"icon\": \"search\", \"text\": query}]\n            self.observer.add_message(\"\", ProcessType.CARD, json.dumps(card_content, ensure_ascii=False))\n\n        search_results_json = []\n        search_results_return = []\n        images_list_url = []\n        for index, result in enumerate(results):\n            if isinstance(result, LinkupSearchTextResult):\n                search_result_message = SearchResultTextMessage(\n                    title=result.name or \"\",\n                    url=result.url or \"\",\n                    text=result.content or \"\",\n                    published_date=\"\",\n                    source_type=\"url\",\n                    filename=\"\",\n                    score=\"\",\n                    score_details={},\n                    cite_index=self.record_ops + index,\n                    search_type=self.name,\n                    tool_sign=self.tool_sign\n                )\n                search_results_json.append(search_result_message.to_dict())\n                search_results_return.append(search_result_message.to_model_dict())\n            elif isinstance(result, LinkupSearchImageResult):\n                search_result_message = SearchResultTextMessage(\n                    title=result.name or \"\",\n                    url=\"\",\n                    text=\"This is a pure image result\",\n                    published_date=\"\",\n                    source_type=\"url\",\n                    filename=\"\",\n                    score=\"\",\n                    score_details={},\n                    cite_index=self.record_ops + index,\n                    search_type=self.name,\n                    tool_sign=self.tool_sign\n                )\n                search_results_json.append(search_result_message.to_dict())\n                search_results_return.append(search_result_message.to_model_dict())\n                images_list_url.append(result.url)\n\n        self.record_ops += len(search_results_return)\n\n        # Deduplicate image list\n        images_list_url = list(dict.fromkeys(images_list_url))\n        if len(images_list_url) > 0:\n            if self.image_filter:\n                self._filter_images(images_list_url, query)\n            else:\n                if self.observer:\n                    search_images_list_json = json.dumps({\"images_url\": images_list_url}, ensure_ascii=False)\n                    self.observer.add_message(\"\", ProcessType.PICTURE_WEB, search_images_list_json)\n\n        # Record detailed content of this search\n        if self.observer:\n            search_results_data = json.dumps(search_results_json, ensure_ascii=False)\n            self.observer.add_message(\"\", ProcessType.SEARCH_CONTENT, search_results_data)\n        return json.dumps(search_results_return, ensure_ascii=False)\n\n    def _filter_images(self, images_list_url, query):\n        \"\"\"\n        Execute image filtering operation directly using the data processing service\n        :param images_list_url: List of image URLs to filter\n        :param query: Search query, used to filter images related to the query\n        \"\"\"\n        import asyncio\n        import aiohttp\n        try:\n            # Define positive and negative prompts\n            positive_prompt = query\n            negative_prompt = \"logo or banner or background or advertisement or icon or avatar\"\n\n            # Define the async function to perform the filtering\n            async def process_images():\n                # Maximum number of concurrent requests\n                semaphore = asyncio.Semaphore(10)  # Limit concurrent requests\n\n                # Create a ClientSession\n                connector = aiohttp.TCPConnector(limit=0)\n                timeout = aiohttp.ClientTimeout(total=2)\n\n                async with aiohttp.ClientSession(connector=connector, timeout=timeout) as session:\n                    # Create a function to process a single image\n                    async def process_single_image(img_url):\n                        async with semaphore:\n                            try:\n                                api_url = f\"{self.data_process_service}/tasks/filter_important_image\"\n                                data = {\n                                    'image_url': img_url,\n                                    'positive_prompt': positive_prompt,\n                                    'negative_prompt': negative_prompt\n                                }\n                                async with session.post(api_url, data=data) as response:\n                                    if response.status != 200:\n                                        logger.info(f\"API error for {img_url}: {response.status}\")\n                                        return None\n                                    result = await response.json()\n                                    if result.get(\"is_important\", False):\n                                        logger.info(f\"Important image: {img_url}\")\n                                        return img_url\n                                    return None\n                            except Exception as e:\n                                logger.info(f\"Error processing image {img_url}: {str(e)}\")\n                                return None\n                    tasks = [process_single_image(url) for url in images_list_url]\n                    results = await asyncio.gather(*tasks)\n                    filtered_images = [url for url in results if url is not None]\n                    if self.observer:\n                        filtered_images_json = json.dumps({\"images_url\": filtered_images}, ensure_ascii=False)\n                        self.observer.add_message(\"\", ProcessType.PICTURE_WEB, filtered_images_json)\n            loop = asyncio.new_event_loop()\n            asyncio.set_event_loop(loop)\n            try:\n                loop.run_until_complete(process_images())\n            finally:\n                loop.close()\n        except Exception as e:\n            logger.info(f\"Image filtering error: {str(e)}\")\n            if self.observer:\n                filtered_images_json = json.dumps({\"images_url\": images_list_url}, ensure_ascii=False)\n                self.observer.add_message(\"\", ProcessType.PICTURE_WEB, filtered_images_json)\n"
  },
  {
    "path": "sdk/nexent/core/tools/list_directory_tool.py",
    "content": "import json\nimport logging\nimport os\nfrom typing import Optional, List, Dict, Any\nfrom pydantic import Field\nfrom smolagents.tools import Tool\n\nfrom ..utils.observer import MessageObserver, ProcessType\nfrom ..utils.tools_common_message import ToolSign, ToolCategory\n\nlogger = logging.getLogger(\"list_directory_tool\")\n\n\nclass ListDirectoryTool(Tool):\n    \"\"\"Directory listing tool for displaying directory contents in tree structure\"\"\"\n    name = \"list_directory\"\n    description = \"List contents of a directory in tree structure format. \" \\\n                  \"Path should be relative to the workspace (e.g., 'documents' or '.' for current workspace). \" \\\n                  \"Absolute paths are not allowed for security reasons. \" \\\n                  \"Returns a hierarchical tree view of files and directories with metadata.\"\n\n    inputs = {\n        \"directory_path\": {\"type\": \"string\", \"description\": \"Relative path of the directory to list (e.g., 'documents' or '.' for workspace root)\", \"default\": \".\", \"nullable\": True},\n        \"max_depth\": {\"type\": \"integer\", \"description\": \"Maximum depth to traverse (default: 3, max: 10)\", \"default\": 3, \"nullable\": True},\n        \"show_hidden\": {\"type\": \"boolean\", \"description\": \"Whether to show hidden files/directories (starting with .)\", \"default\": False, \"nullable\": True},\n        \"show_size\": {\"type\": \"boolean\", \"description\": \"Whether to show file sizes\", \"default\": True, \"nullable\": True}\n    }\n    output_type = \"string\"\n    category = ToolCategory.FILE.value\n\n    tool_sign = ToolSign.FILE_OPERATION.value  # File operation tool identifier\n\n    def __init__(self, \n                 init_path: str = Field(description=\"Initial workspace path\", default=\"/mnt/nexent\"),\n                 observer: MessageObserver = Field(description=\"Message observer\", default=None, exclude=True)):\n        \"\"\"Initialize the ListDirectoryTool.\n        \n        Args:\n            init_path (str): Initial workspace path for directory operations. Defaults to \"/mnt/nexent\".\n            observer (MessageObserver, optional): Message observer instance. Defaults to None.\n        \"\"\"\n        super().__init__()\n        self.init_path = os.path.abspath(init_path)\n        self.observer = observer\n        self.running_prompt_zh = \"正在列出目录内容...\"\n        self.running_prompt_en = \"Listing directory contents...\"\n\n    def _validate_path(self, directory_path: str) -> str:\n        \"\"\"Validate and resolve directory path within the workspace.\n        \n        Args:\n            directory_path (str): Input directory path\n            \n        Returns:\n            str: Validated absolute path\n            \n        Raises:\n            Exception: If path is outside workspace or invalid\n        \"\"\"\n        # Handle current directory\n        if directory_path == \".\" or directory_path == \"\":\n            return self.init_path\n            \n        # Check for absolute path\n        if os.path.isabs(directory_path):\n            abs_path = os.path.abspath(directory_path)\n        else:\n            # Treat as relative path from init_path\n            abs_path = os.path.abspath(os.path.join(self.init_path, directory_path))\n        \n        # Normalize path to resolve any '..' or '.' components\n        abs_path = os.path.normpath(abs_path)\n        \n        # Check if the path is within the allowed workspace\n        if not abs_path.startswith(self.init_path):\n            raise Exception(f\"Permission denied: Directory operations are restricted to the workspace directory '{self.init_path}'. \"\n                          f\"Attempted path '{abs_path}' is outside the allowed area. \"\n                          f\"Please use relative paths within the workspace.\")\n        \n        return abs_path\n\n    def _format_size(self, size_bytes: int) -> str:\n        \"\"\"Format file size in human readable format.\"\"\"\n        if size_bytes < 1024:\n            return f\"{size_bytes}B\"\n        elif size_bytes < 1024 * 1024:\n            return f\"{size_bytes/1024:.1f}KB\"\n        elif size_bytes < 1024 * 1024 * 1024:\n            return f\"{size_bytes/(1024*1024):.1f}MB\"\n        else:\n            return f\"{size_bytes/(1024*1024*1024):.1f}GB\"\n\n    def _build_tree_structure(self, directory_path: str, max_depth: int, show_hidden: bool, \n                            show_size: bool, current_depth: int = 0) -> Dict[str, Any]:\n        \"\"\"Build tree structure recursively.\n        \n        Args:\n            directory_path (str): Absolute path to directory\n            max_depth (int): Maximum depth to traverse\n            show_hidden (bool): Whether to show hidden files\n            show_size (bool): Whether to show file sizes\n            current_depth (int): Current recursion depth\n            \n        Returns:\n            Dict containing tree structure\n        \"\"\"\n        if current_depth >= max_depth:\n            return {\"truncated\": True, \"reason\": \"max_depth_reached\"}\n        \n        try:\n            items = []\n            entries = sorted(os.listdir(directory_path))\n            \n            for entry in entries:\n                # Skip hidden files if not requested\n                if not show_hidden and entry.startswith('.'):\n                    continue\n                    \n                entry_path = os.path.join(directory_path, entry)\n                relative_path = os.path.relpath(entry_path, self.init_path)\n                \n                try:\n                    stat_info = os.stat(entry_path)\n                    is_dir = os.path.isdir(entry_path)\n                    \n                    item = {\n                        \"name\": entry,\n                        \"path\": relative_path,\n                        \"type\": \"directory\" if is_dir else \"file\",\n                        \"permissions\": oct(stat_info.st_mode)[-3:],\n                        \"modified\": stat_info.st_mtime\n                    }\n                    \n                    if is_dir:\n                        # Recursively get subdirectory contents\n                        if current_depth + 1 < max_depth:\n                            subtree = self._build_tree_structure(\n                                entry_path, max_depth, show_hidden, show_size, current_depth + 1\n                            )\n                            if \"children\" in subtree:\n                                item[\"children\"] = subtree[\"children\"]\n                            elif \"truncated\" in subtree:\n                                item[\"children\"] = []\n                                item[\"truncated\"] = True\n                        else:\n                            item[\"children\"] = []\n                            item[\"truncated\"] = True\n                            \n                        # Count items in directory\n                        try:\n                            dir_entries = os.listdir(entry_path)\n                            if not show_hidden:\n                                dir_entries = [e for e in dir_entries if not e.startswith('.')]\n                            item[\"item_count\"] = len(dir_entries)\n                        except PermissionError:\n                            item[\"item_count\"] = \"Permission denied\"\n                    else:\n                        # File size\n                        if show_size:\n                            item[\"size\"] = stat_info.st_size\n                            item[\"size_formatted\"] = self._format_size(stat_info.st_size)\n                    \n                    items.append(item)\n                    \n                except (OSError, PermissionError) as e:\n                    # Add entry with error info\n                    items.append({\n                        \"name\": entry,\n                        \"path\": relative_path,\n                        \"type\": \"unknown\",\n                        \"error\": str(e)\n                    })\n                    \n            return {\"children\": items}\n            \n        except PermissionError:\n            return {\"error\": \"Permission denied\"}\n        except OSError as e:\n            return {\"error\": str(e)}\n\n    def _format_tree_display(self, tree_data: Dict[str, Any], show_size: bool, \n                           prefix: str = \"\", is_last: bool = True) -> List[str]:\n        \"\"\"Format tree structure for display.\n        \n        Args:\n            tree_data (Dict): Tree structure data\n            show_size (bool): Whether to show file sizes\n            prefix (str): Current line prefix\n            is_last (bool): Whether this is the last item in current level\n            \n        Returns:\n            List of formatted lines\n        \"\"\"\n        lines = []\n        \n        if \"children\" not in tree_data:\n            return lines\n            \n        children = tree_data[\"children\"]\n        \n        for i, item in enumerate(children):\n            is_last_child = (i == len(children) - 1)\n            \n            # Choose the appropriate tree characters\n            if is_last_child:\n                current_prefix = prefix + \"└── \"\n                next_prefix = prefix + \"    \"\n            else:\n                current_prefix = prefix + \"├── \"\n                next_prefix = prefix + \"│   \"\n            \n            # Format the item line\n            line = current_prefix + item[\"name\"]\n            \n            if item[\"type\"] == \"directory\":\n                line += \"/\"\n                if \"item_count\" in item and isinstance(item[\"item_count\"], int):\n                    line += f\" ({item['item_count']} items)\"\n                if item.get(\"truncated\"):\n                    line += \" [...]\"\n            elif item[\"type\"] == \"file\" and show_size and \"size_formatted\" in item:\n                line += f\" ({item['size_formatted']})\"\n            elif \"error\" in item:\n                line += f\" [ERROR: {item['error']}]\"\n                \n            lines.append(line)\n            \n            # Recursively add children\n            if item[\"type\"] == \"directory\" and \"children\" in item:\n                child_lines = self._format_tree_display(\n                    {\"children\": item[\"children\"]}, show_size, next_prefix, is_last_child\n                )\n                lines.extend(child_lines)\n                \n        return lines\n\n    def forward(self, directory_path: str = \".\", max_depth: int = 3, \n               show_hidden: bool = False, show_size: bool = True) -> str:\n        try:\n            # Send tool run message if observer is available\n            if self.observer:\n                running_prompt = self.running_prompt_zh if self.observer.lang == \"zh\" else self.running_prompt_en\n                self.observer.add_message(\"\", ProcessType.TOOL, running_prompt)\n                card_content = [{\"icon\": \"folder-tree\", \"text\": f\"Listing directory {directory_path}\"}]\n                self.observer.add_message(\"\", ProcessType.CARD, json.dumps(card_content, ensure_ascii=False))\n\n            # Validate directory path\n            if directory_path is None:\n                directory_path = \".\"\n\n            # Validate max_depth\n            if max_depth > 10:\n                max_depth = 10\n                logger.warning(\"Max depth limited to 10 for performance reasons\")\n            elif max_depth < 1:\n                max_depth = 1\n\n            # Validate and resolve path within workspace\n            abs_path = self._validate_path(directory_path)\n            \n            # Check if directory exists\n            if not os.path.exists(abs_path):\n                raise Exception(f\"Directory does not exist: {directory_path}\")\n\n            # Check if it's a directory\n            if not os.path.isdir(abs_path):\n                raise Exception(f\"Path is not a directory: {directory_path}\")\n\n            logger.info(f\"Listing directory: {abs_path} with max_depth={max_depth}\")\n            \n            # Build tree structure\n            tree_data = self._build_tree_structure(abs_path, max_depth, show_hidden, show_size)\n            \n            if \"error\" in tree_data:\n                raise Exception(f\"Failed to read directory: {tree_data['error']}\")\n            \n            # Format tree for display\n            relative_path = os.path.relpath(abs_path, self.init_path)\n            if relative_path == \".\":\n                root_name = \"📁 workspace\"\n            else:\n                root_name = f\"📁 {relative_path}\"\n                \n            tree_lines = [root_name]\n            if \"children\" in tree_data:\n                formatted_lines = self._format_tree_display(tree_data, show_size)\n                tree_lines.extend(formatted_lines)\n            \n            # Count total items\n            total_files = 0\n            total_dirs = 0\n            total_size = 0\n            \n            def count_items(data):\n                nonlocal total_files, total_dirs, total_size\n                if \"children\" in data:\n                    for item in data[\"children\"]:\n                        if item[\"type\"] == \"file\":\n                            total_files += 1\n                            if \"size\" in item:\n                                total_size += item[\"size\"]\n                        elif item[\"type\"] == \"directory\":\n                            total_dirs += 1\n                            if \"children\" in item:\n                                count_items({\"children\": item[\"children\"]})\n            \n            count_items(tree_data)\n            \n            # Prepare success message\n            tree_display = \"\\n\".join(tree_lines)\n            \n            success_msg = {\n                \"status\": \"success\",\n                \"directory_path\": relative_path,\n                \"absolute_path\": abs_path,\n                \"tree_display\": tree_display,\n                \"tree_data\": tree_data,\n                \"summary\": {\n                    \"total_files\": total_files,\n                    \"total_directories\": total_dirs,\n                    \"total_size_bytes\": total_size,\n                    \"total_size_formatted\": self._format_size(total_size) if total_size > 0 else \"0B\",\n                    \"max_depth\": max_depth,\n                    \"show_hidden\": show_hidden\n                },\n                \"message\": f\"Directory listing completed for {relative_path}\"\n            }\n\n            return json.dumps(success_msg, ensure_ascii=False)\n\n        except PermissionError as e:\n            logger.error(f\"Permission denied when listing directory: {directory_path}, error: {e}\")\n            error_msg = f\"Permission denied: Cannot access directory at {directory_path}. Check directory permissions.\"\n            raise Exception(error_msg)\n        \n        except OSError as e:\n            logger.error(f\"OS error when listing directory: {directory_path}, error: {e}\")\n            error_msg = f\"OS error: Cannot access directory at {directory_path}. {str(e)}\"\n            raise Exception(error_msg)\n        \n        except Exception as e:\n            logger.error(f\"Unexpected error when listing directory: {directory_path}, error: {e}\")\n            error_msg = f\"Failed to list directory: {str(e)}\"\n            raise Exception(error_msg) "
  },
  {
    "path": "sdk/nexent/core/tools/move_item_tool.py",
    "content": "import json\nimport logging\nimport os\nimport shutil\nfrom typing import Optional\nfrom pydantic import Field\nfrom smolagents.tools import Tool\n\nfrom ..utils.observer import MessageObserver, ProcessType\nfrom ..utils.tools_common_message import ToolSign, ToolCategory\n\nlogger = logging.getLogger(\"move_item_tool\")\n\n\nclass MoveItemTool(Tool):\n    \"\"\"Move tool for moving files or directories to a new location\"\"\"\n    name = \"move_item\"\n    description = \"Move a file or directory from source path to destination path. \" \\\n                  \"Both paths should be relative to the workspace (e.g., 'documents/file.txt' to 'backup/file.txt'). \" \\\n                  \"Absolute paths are not allowed for security reasons. \" \\\n                  \"Works for both files and directories. If destination directory doesn't exist, it will be created. \" \\\n                  \"If destination already exists, the operation will fail to prevent overwriting.\"\n\n    inputs = {\n        \"source_path\": {\"type\": \"string\", \"description\": \"Relative path of the source file or directory to move (e.g., 'documents/file.txt')\"},\n        \"destination_path\": {\"type\": \"string\", \"description\": \"Relative path of the destination (e.g., 'backup/file.txt')\"}\n    }\n    output_type = \"string\"\n    category = ToolCategory.FILE.value\n\n    tool_sign = ToolSign.FILE_OPERATION.value  # File operation tool identifier\n\n    def __init__(self, \n                 init_path: str = Field(description=\"Initial workspace path\", default=\"/mnt/nexent\"),\n                 observer: MessageObserver = Field(description=\"Message observer\", default=None, exclude=True)):\n        \"\"\"Initialize the MoveItemTool.\n        \n        Args:\n            init_path (str): Initial workspace path for file operations. Defaults to \"/mnt/nexent\".\n            observer (MessageObserver, optional): Message observer instance. Defaults to None.\n        \"\"\"\n        super().__init__()\n        self.init_path = os.path.abspath(init_path)\n        self.observer = observer\n        self.running_prompt_zh = \"正在移动文件/文件夹...\"\n        self.running_prompt_en = \"Moving file/directory...\"\n\n    def _validate_path(self, file_path: str) -> str:\n        \"\"\"Validate and resolve file path within the workspace.\n        \n        Args:\n            file_path (str): Input file path\n            \n        Returns:\n            str: Validated absolute path\n            \n        Raises:\n            Exception: If path is outside workspace or invalid\n        \"\"\"\n        # Check for absolute path\n        if os.path.isabs(file_path):\n            abs_path = os.path.abspath(file_path)\n        else:\n            # Treat as relative path from init_path\n            abs_path = os.path.abspath(os.path.join(self.init_path, file_path))\n        \n        # Normalize path to resolve any '..' or '.' components\n        abs_path = os.path.normpath(abs_path)\n        \n        # Check if the path is within the allowed workspace\n        if not abs_path.startswith(self.init_path):\n            raise Exception(f\"Permission denied: File operations are restricted to the workspace directory '{self.init_path}'. \"\n                          f\"Attempted path '{abs_path}' is outside the allowed area. \"\n                          f\"Please use relative paths within the workspace.\")\n        \n        return abs_path\n\n    def forward(self, source_path: str, destination_path: str) -> str:\n        try:\n            # Send tool run message if observer is available\n            if self.observer:\n                running_prompt = self.running_prompt_zh if self.observer.lang == \"zh\" else self.running_prompt_en\n                self.observer.add_message(\"\", ProcessType.TOOL, running_prompt)\n                card_content = [{\"icon\": \"move\", \"text\": f\"Moving {source_path} to {destination_path}\"}]\n                self.observer.add_message(\"\", ProcessType.CARD, json.dumps(card_content, ensure_ascii=False))\n\n            # Validate paths\n            if not source_path or source_path.strip() == \"\":\n                raise Exception(\"Source path cannot be empty\")\n            if not destination_path or destination_path.strip() == \"\":\n                raise Exception(\"Destination path cannot be empty\")\n\n            # Validate and resolve paths within workspace\n            abs_source_path = self._validate_path(source_path)\n            abs_destination_path = self._validate_path(destination_path)\n            \n            # Check if source exists\n            if not os.path.exists(abs_source_path):\n                raise Exception(f\"Source does not exist: {source_path}\")\n\n            # Check if destination already exists\n            if os.path.exists(abs_destination_path):\n                raise Exception(f\"Destination already exists: {destination_path}. Move operation cancelled to prevent overwriting.\")\n\n            # Get source metadata before moving\n            source_name = os.path.basename(abs_source_path)\n            is_directory = os.path.isdir(abs_source_path)\n            \n            # Calculate size before moving\n            if is_directory:\n                total_size = 0\n                total_items = 0\n                for root, dirs, files in os.walk(abs_source_path):\n                    total_items += len(dirs) + len(files)\n                    for file in files:\n                        try:\n                            file_path = os.path.join(root, file)\n                            total_size += os.path.getsize(file_path)\n                        except (OSError, IOError):\n                            pass\n            else:\n                total_size = os.path.getsize(abs_source_path)\n                total_items = 1\n\n            # Create destination parent directory if it doesn't exist\n            dest_parent = os.path.dirname(abs_destination_path)\n            if dest_parent and not os.path.exists(dest_parent):\n                os.makedirs(dest_parent, exist_ok=True)\n                logger.info(f\"Created destination parent directory: {dest_parent}\")\n\n            # Perform the move operation\n            shutil.move(abs_source_path, abs_destination_path)\n\n            logger.info(f\"Successfully moved {'directory' if is_directory else 'file'}: {abs_source_path} -> {abs_destination_path}\")\n            \n            # Prepare success message\n            # Show relative paths in response for better UX\n            relative_source = os.path.relpath(abs_source_path, self.init_path)\n            relative_destination = os.path.relpath(abs_destination_path, self.init_path)\n            \n            success_msg = {\n                \"status\": \"success\",\n                \"source_path\": relative_source,\n                \"destination_path\": relative_destination,\n                \"absolute_source_path\": abs_source_path,\n                \"absolute_destination_path\": abs_destination_path,\n                \"item_name\": source_name,\n                \"is_directory\": is_directory,\n                \"size_bytes\": total_size,\n                \"items_moved\": total_items if is_directory else 1,\n                \"message\": f\"{'Directory' if is_directory else 'File'} moved successfully from {relative_source} to {relative_destination}\"\n            }\n\n            return json.dumps(success_msg, ensure_ascii=False)\n\n        except FileNotFoundError as e:\n            logger.error(f\"Source not found: {source_path}, error: {e}\")\n            error_msg = f\"Source not found: {source_path}. The file or directory may have already been moved or deleted.\"\n            raise Exception(error_msg)\n        \n        except PermissionError as e:\n            logger.error(f\"Permission denied when moving: {source_path} -> {destination_path}, error: {e}\")\n            error_msg = f\"Permission denied: Cannot move from {source_path} to {destination_path}. Check file/directory permissions.\"\n            raise Exception(error_msg)\n        \n        except OSError as e:\n            logger.error(f\"OS error when moving: {source_path} -> {destination_path}, error: {e}\")\n            error_msg = f\"OS error: Cannot move from {source_path} to {destination_path}. {str(e)}\"\n            raise Exception(error_msg)\n        \n        except Exception as e:\n            logger.error(f\"Unexpected error when moving: {source_path} -> {destination_path}, error: {e}\")\n            error_msg = f\"Failed to move item: {str(e)}\"\n            raise Exception(error_msg) "
  },
  {
    "path": "sdk/nexent/core/tools/read_file_tool.py",
    "content": "import json\nimport logging\nimport os\nfrom typing import Optional\nfrom pydantic import Field\nfrom smolagents.tools import Tool\n\nfrom ..utils.observer import MessageObserver, ProcessType\nfrom ..utils.tools_common_message import ToolSign, ToolCategory\n\nlogger = logging.getLogger(\"read_file_tool\")\n\n\nclass ReadFileTool(Tool):\n    \"\"\"File reading tool for reading file contents\"\"\"\n    name = \"read_file\"\n    description = \"Read content from a file at the specified path. \" \\\n                  \"Path should be relative to the workspace (e.g., 'documents/file.txt'). \" \\\n                  \"Absolute paths are not allowed for security reasons. \" \\\n                  \"Supports custom encoding, defaults to utf-8. \" \\\n                  \"Returns the file content as a string along with file metadata.\"\n\n    inputs = {\n        \"file_path\": {\"type\": \"string\", \"description\": \"Relative path of the file to read (e.g., 'documents/file.txt')\"},\n        \"encoding\": {\"type\": \"string\", \"description\": \"File encoding, defaults to utf-8\", \"default\": \"utf-8\", \"nullable\": True}\n    }\n    output_type = \"string\"\n    category = ToolCategory.FILE.value\n\n    tool_sign = ToolSign.FILE_OPERATION.value  # File operation tool identifier\n\n    def __init__(self, \n                 init_path: str = Field(description=\"Initial workspace path\", default=\"/mnt/nexent\"),\n                 observer: MessageObserver = Field(description=\"Message observer\", default=None, exclude=True)):\n        \"\"\"Initialize the ReadFileTool.\n        \n        Args:\n            init_path (str): Initial workspace path for file operations. Defaults to \"/mnt/nexent\".\n            observer (MessageObserver, optional): Message observer instance. Defaults to None.\n        \"\"\"\n        super().__init__()\n        self.init_path = os.path.abspath(init_path)\n        self.observer = observer\n        self.running_prompt_zh = \"正在读取文件...\"\n        self.running_prompt_en = \"Reading file...\"\n\n    def _validate_path(self, file_path: str) -> str:\n        \"\"\"Validate and resolve file path within the workspace.\n        \n        Args:\n            file_path (str): Input file path\n            \n        Returns:\n            str: Validated absolute path\n            \n        Raises:\n            Exception: If path is outside workspace or invalid\n        \"\"\"\n        # Check for absolute path\n        if os.path.isabs(file_path):\n            abs_path = os.path.abspath(file_path)\n        else:\n            # Treat as relative path from init_path\n            abs_path = os.path.abspath(os.path.join(self.init_path, file_path))\n        \n        # Normalize path to resolve any '..' or '.' components\n        abs_path = os.path.normpath(abs_path)\n        \n        # Check if the path is within the allowed workspace\n        if not abs_path.startswith(self.init_path):\n            raise Exception(f\"Permission denied: File operations are restricted to the workspace directory '{self.init_path}'. \"\n                          f\"Attempted path '{abs_path}' is outside the allowed area. \"\n                          f\"Please use relative paths within the workspace.\")\n        \n        return abs_path\n\n    def forward(self, file_path: str, encoding: str = \"utf-8\") -> str:\n        try:\n            # Send tool run message if observer is available\n            if self.observer:\n                running_prompt = self.running_prompt_zh if self.observer.lang == \"zh\" else self.running_prompt_en\n                self.observer.add_message(\"\", ProcessType.TOOL, running_prompt)\n                card_content = [{\"icon\": \"file-text\", \"text\": f\"Reading {file_path}\"}]\n                self.observer.add_message(\"\", ProcessType.CARD, json.dumps(card_content, ensure_ascii=False))\n\n            # Validate file path\n            if not file_path or file_path.strip() == \"\":\n                raise Exception(\"File path cannot be empty\")\n\n            # Validate and resolve path within workspace\n            abs_path = self._validate_path(file_path)\n            \n            # Check if file exists\n            if not os.path.exists(abs_path):\n                raise Exception(f\"File does not exist: {abs_path}\")\n\n            # Check if it's a file (not a directory)\n            if not os.path.isfile(abs_path):\n                raise Exception(f\"Path is not a file: {abs_path}\")\n\n            # Get file metadata\n            file_stats = os.stat(abs_path)\n            file_size = file_stats.st_size\n\n            # Check if file is too large (optional safety check - 10MB limit)\n            max_size = 10 * 1024 * 1024  # 10MB\n            if file_size > max_size:\n                logger.warning(f\"Large file detected: {file_size} bytes\")\n                if self.observer:\n                    warning_msg = f\"大文件警告: {file_size} 字节\" if self.observer.lang == \"zh\" else f\"Large file warning: {file_size} bytes\"\n                    self.observer.add_message(\"\", ProcessType.OTHER, warning_msg)\n\n            # Read file content\n            with open(abs_path, 'r', encoding=encoding) as f:\n                content = f.read()\n\n            logger.info(f\"Successfully read file: {abs_path} with encoding: {encoding}\")\n            \n            # Prepare success message\n            # Show relative path in response for better UX\n            relative_path = os.path.relpath(abs_path, self.init_path)\n            success_msg = {\n                \"status\": \"success\",\n                \"file_path\": relative_path,\n                \"absolute_path\": abs_path,\n                \"content\": content,\n                \"content_length\": len(content),\n                \"file_size_bytes\": file_size,\n                \"encoding\": encoding,\n                \"lines_count\": content.count('\\n') + 1 if content else 0,\n                \"message\": f\"File read successfully from {relative_path}\"\n            }\n\n            return json.dumps(success_msg, ensure_ascii=False)\n\n        except FileNotFoundError as e:\n            logger.error(f\"File not found: {file_path}, error: {e}\")\n            error_msg = f\"File not found: {file_path}. Please check if the file exists.\"\n            raise Exception(error_msg)\n        \n        except PermissionError as e:\n            logger.error(f\"Permission denied when reading file: {file_path}, error: {e}\")\n            error_msg = f\"Permission denied: Cannot read file at {file_path}. Check file permissions.\"\n            raise Exception(error_msg)\n        \n        except UnicodeDecodeError as e:\n            logger.error(f\"Encoding error when reading file: {file_path}, encoding: {encoding}, error: {e}\")\n            error_msg = f\"Encoding error: Cannot read file with {encoding} encoding. Try a different encoding or check if the file is binary.\"\n            raise Exception(error_msg)\n        \n        except OSError as e:\n            logger.error(f\"OS error when reading file: {file_path}, error: {e}\")\n            error_msg = f\"OS error: Cannot read file at {file_path}. {str(e)}\"\n            raise Exception(error_msg)\n        \n        except Exception as e:\n            logger.error(f\"Unexpected error when reading file: {file_path}, error: {e}\")\n            error_msg = f\"Failed to read file: {str(e)}\"\n            raise Exception(error_msg) "
  },
  {
    "path": "sdk/nexent/core/tools/send_email_tool.py",
    "content": "import json\nimport logging\nimport smtplib\nimport ssl\nfrom email.mime.multipart import MIMEMultipart\nfrom email.mime.text import MIMEText\nfrom typing import Optional\nfrom pydantic import Field\nfrom smolagents.tools import Tool\n\nfrom ..utils.tools_common_message import ToolCategory\n\nlogger = logging.getLogger(\"send_email_tool\")\nclass SendEmailTool(Tool):\n    name = \"send_email\"\n    description = \"Send email to specified recipients. Supports only HTML formatted email content, and can add multiple recipients, CC, and BCC.\"\n\n    inputs = {\n        \"to\": {\"type\": \"string\", \"description\": \"Recipient email address, multiple recipients separated by commas\"},\n        \"subject\": {\"type\": \"string\", \"description\": \"Email subject\"},\n        \"content\": {\"type\": \"string\", \"description\": \"Email content, supports HTML format\"},\n        \"cc\": {\"type\": \"string\", \"description\": \"CC email address, multiple CCs separated by commas, optional\",\n               \"nullable\": True},\n        \"bcc\": {\"type\": \"string\", \"description\": \"BCC email address, multiple BCCs separated by commas, optional\",\n                \"nullable\": True}}\n    output_type = \"string\"\n    category = ToolCategory.EMAIL.value\n\n    def __init__(self, smtp_server: str=Field(description=\"SMTP Server Address\"),\n                 smtp_port: int=Field(description=\"SMTP server port\"), \n                 username: str=Field(description=\"SMTP server username\"), \n                 password: str=Field(description=\"SMTP server password\"), \n                 use_ssl: bool=Field(description=\"Use SSL\", default=True),\n                 sender_name: Optional[str] = Field(description=\"Sender name\", default=None),\n                 timeout: int = Field(description=\"Timeout\", default=30)):\n        super().__init__()\n        self.smtp_server = smtp_server\n        self.smtp_port = smtp_port\n        self.username = username\n        self.password = password\n        self.use_ssl = use_ssl\n        self.sender_name = sender_name\n        self.timeout = timeout\n\n    def forward(self, to: str, subject: str, content: str, cc: str = \"\", bcc: str = \"\") -> str:\n        try:\n            logger.info(\"Creating email message...\")\n            # Create email object\n            msg = MIMEMultipart()\n            msg['From'] = f\"{self.sender_name} <{self.username}>\" if self.sender_name else self.username\n            msg['To'] = to\n            msg['Subject'] = subject\n\n            if cc:\n                msg['Cc'] = cc\n            if bcc:\n                msg['Bcc'] = bcc\n\n            # Add email content\n            msg.attach(MIMEText(content, 'html'))\n\n            logger.info(f\"Connecting to SMTP server {self.smtp_server}:{self.smtp_port}...\")\n\n            # Create SSL context\n            context = ssl.create_default_context()\n            context.check_hostname = True\n            context.verify_mode = ssl.CERT_REQUIRED\n\n            # Connect to SMTP server using SSL\n            logger.info(\"Using SSL connection...\")\n            server = smtplib.SMTP_SSL(self.smtp_server, self.smtp_port, context=context, timeout=self.timeout)\n\n            logger.info(\"Logging in...\")\n            # Login\n            server.login(self.username, self.password)\n\n            # Send email\n            recipients = [to]\n            if cc:\n                recipients.extend(cc.split(','))\n            if bcc:\n                recipients.extend(bcc.split(','))\n\n            logger.info(\"Sending email...\")\n            server.send_message(msg)\n            logger.info(\"Email sent successfully!\")\n            server.quit()\n\n            return json.dumps({\"status\": \"success\", \"message\": \"Email sent successfully\", \"to\": to, \"subject\": subject},\n                ensure_ascii=False)\n\n        except smtplib.SMTPException as e:\n            logger.error(f\"SMTP Error: {str(e)}\")\n            return json.dumps({\"status\": \"error\", \"message\": f\"Failed to send email: {str(e)}\"}, ensure_ascii=False)\n        except Exception as e:\n            logger.error(f\"Unexpected Error: {str(e)}\")\n            return json.dumps({\"status\": \"error\", \"message\": f\"An unexpected error occurred: {str(e)}\"},\n                ensure_ascii=False)\n"
  },
  {
    "path": "sdk/nexent/core/tools/tavily_search_tool.py",
    "content": "import asyncio\nimport json\nimport logging\nimport os\nimport aiohttp\nfrom tavily import TavilyClient\nfrom smolagents.tools import Tool\nfrom pydantic import Field\n\nfrom ..utils.observer import MessageObserver, ProcessType\nfrom ..utils.tools_common_message import SearchResultTextMessage, ToolSign, ToolCategory\n\n# Get logger instance\nlogger = logging.getLogger(\"tavily_search_tool\")\n\n\nclass TavilySearchTool(Tool):\n    name = \"tavily_search\"\n    description = \"Performs a internet search based on your query (think a Google search) then returns the top search results. \" \\\n                  \"A tool for retrieving publicly available information, news, general knowledge, or non-proprietary data from the internet. \" \\\n                  \"Use this for real-time open-domain updates, broad topics, or or general knowledge queries\" \\\n\n    inputs = {\"query\": {\"type\": \"string\", \"description\": \"The search query to perform.\"}}\n    output_type = \"string\"\n    category = ToolCategory.SEARCH.value\n    tool_sign = ToolSign.TAVILY_SEARCH.value  # Used to distinguish different index sources in summary\n\n    def __init__(self, tavily_api_key:str=Field(description=\"Tavily API key\"),\n                 observer: MessageObserver=Field(description=\"Message observer\", default=None, exclude=True),\n                 max_results:int=Field(description=\"Maximum number of search results\", default=3),\n                 image_filter: bool = Field(description=\"Whether to enable image filtering\", default=True)\n     ):\n\n        super().__init__()\n\n        self.observer = observer\n        self.tavily = TavilyClient(api_key=tavily_api_key)\n        self.max_results = max_results\n        self.image_filter = image_filter\n        self.record_ops = 1  # Used to record sequence number\n        self.running_prompt_en = \"Searching the web...\"\n        self.running_prompt_zh = \"网络搜索中...\"\n        \n        # TODO add data_process_service\n        self.data_process_service = os.getenv(\"DATA_PROCESS_SERVICE\")\n\n    def forward(self, query: str) -> str:\n        # Perform tavily search\n        tavily_search_result = self.tavily.search(\n            query=query,\n            max_results=self.max_results,\n            include_images=True,\n        )\n        images_list_url = tavily_search_result.get(\"images\", [])\n        tavily_search_result = tavily_search_result.get(\"results\", [])\n        if len(tavily_search_result) == 0:\n            raise Exception(\n                'No results found! Try a less restrictive/shorter query.')\n\n        # Send tool running message\n        if self.observer:\n            running_prompt = self.running_prompt_zh if self.observer.lang==\"zh\" else self.running_prompt_en\n            self.observer.add_message(\"\", ProcessType.TOOL, running_prompt)\n            card_content = [{\"icon\": \"search\", \"text\": query}]\n            self.observer.add_message(\"\", ProcessType.CARD, json.dumps(\n                card_content, ensure_ascii=False))\n\n        search_results_json = []  # Format search results into a unified structure\n        search_results_return = []  # Format for input to the large model\n        for index, single_result in enumerate(tavily_search_result):\n            search_result_message = SearchResultTextMessage(\n                title=single_result.get(\"title\", \"\"),\n                url=single_result.get(\"url\", \"\"),\n                text=single_result.get(\"content\", \"\"),\n                published_date=single_result.get(\"published_date\", \"\"),\n                source_type=\"url\",\n                filename=\"\",\n                score=\"\",\n                score_details={},\n                cite_index=self.record_ops + index,\n                search_type=self.name,\n                tool_sign=self.tool_sign\n            )\n            search_results_json.append(search_result_message.to_dict())\n            search_results_return.append(search_result_message.to_model_dict())\n            \n        \n        self.record_ops += len(search_results_return)\n\n        # Deduplicate and filter image list\n        images_list_url = list(dict.fromkeys(images_list_url))\n        if len(images_list_url) > 0:\n            if self.image_filter:\n                self._filter_images(images_list_url, query)\n            else:\n                if self.observer:\n                    search_images_list_json = json.dumps(\n                        {\"images_url\": images_list_url}, ensure_ascii=False)\n                    self.observer.add_message(\n                        \"\", ProcessType.PICTURE_WEB, search_images_list_json)\n\n        # Record detailed content of this search\n        if self.observer:\n            search_results_data = json.dumps(\n                search_results_json, ensure_ascii=False)\n            self.observer.add_message(\n                \"\", ProcessType.SEARCH_CONTENT, search_results_data)\n        return json.dumps(search_results_return, ensure_ascii=False)\n\n    def _filter_images(self, images_list_url, query):\n        \"\"\"\n        Execute image filtering operation directly using the data processing service\n        :param images_list_url: List of image URLs to filter\n        :param query: Search query, used to filter images related to the query\n        \"\"\"\n        try:\n            # Define positive and negative prompts\n            positive_prompt = query\n            negative_prompt = \"logo or banner or background or advertisement or icon or avatar\"\n\n            # Define the async function to perform the filtering\n            async def process_images():\n                # Maximum number of concurrent requests\n                semaphore = asyncio.Semaphore(10)  # Limit concurrent requests\n\n                # Create a ClientSession\n                connector = aiohttp.TCPConnector(\n                    limit=0)  # No limit on connections\n                timeout = aiohttp.ClientTimeout(total=2)  # 2 seconds timeout\n\n                async with aiohttp.ClientSession(connector=connector, timeout=timeout) as session:\n                    # Create a function to process a single image\n                    async def process_single_image(img_url):\n                        async with semaphore:  # Limit concurrency\n                            try:\n                                # Create API endpoint URL\n                                api_url = f\"{self.data_process_service}/tasks/filter_important_image\"\n\n                                # Prepare form data\n                                data = {\n                                    'image_url': img_url,\n                                    'positive_prompt': positive_prompt,\n                                    'negative_prompt': negative_prompt\n                                }\n\n                                # Make async API request\n                                async with session.post(api_url, data=data) as response:\n                                    if response.status != 200:\n                                        logger.info(\n                                            f\"API error for {img_url}: {response.status}\")\n                                        return None\n\n                                    result = await response.json()\n                                    if result.get(\"is_important\", False):\n                                        logger.info(f\"Important image: {img_url}\")\n                                        return img_url\n                                    return None\n                            except Exception as e:\n                                logger.info(\n                                    f\"Error processing image {img_url}: {str(e)}\")\n                                return None\n\n                    # Process all images concurrently\n                    tasks = [process_single_image(url) for url in images_list_url]\n                    results = await asyncio.gather(*tasks)\n\n                    # Filter out None results\n                    filtered_images = [\n                        url for url in results if url is not None]\n\n                    # Notify results through observer after filtering\n                    if self.observer:\n                        # Send the filtered images list\n                        filtered_images_json = json.dumps(\n                            {\"images_url\": filtered_images}, ensure_ascii=False)\n                        self.observer.add_message(\n                            \"\", ProcessType.PICTURE_WEB, filtered_images_json)\n\n            # Create a new event loop and run the async function in the current thread\n            loop = asyncio.new_event_loop()\n            asyncio.set_event_loop(loop)\n            try:\n                loop.run_until_complete(process_images())\n            finally:\n                loop.close()\n\n        except Exception as e:\n            # Handle exceptions in filtering process, log the error\n            logger.info(f\"Image filtering error: {str(e)}\")\n            # Send unfiltered image_url in case of error\n            if self.observer:\n                filtered_images_json = json.dumps(\n                    {\"images_url\": images_list_url}, ensure_ascii=False)\n                self.observer.add_message(\n                    \"\", ProcessType.PICTURE_WEB, filtered_images_json)\n"
  },
  {
    "path": "sdk/nexent/core/tools/terminal_tool.py",
    "content": "import json\nimport logging\nimport os\nimport re\nimport time\nfrom typing import Dict, Any\nfrom pydantic import Field\nfrom smolagents.tools import Tool\nimport paramiko\n\nfrom ..utils.observer import MessageObserver, ProcessType\nfrom ..utils.tools_common_message import ToolSign, ToolCategory\n\nlogger = logging.getLogger(\"terminal_tool\")\n\n\nclass TerminalTool(Tool):\n    \"\"\"Terminal tool for executing shell commands via SSH\"\"\"\n    name = \"terminal\"\n    description = \"Execute shell commands on a remote terminal via SSH connection. \" \\\n                  \"Supports session management to maintain shell state across commands. \" \\\n                  \"Uses password authentication for secure connection. \" \\\n                  \"Returns the command output as a string.\"\n\n    inputs = {\n        \"command\": {\"type\": \"string\", \"description\": \"Shell command to execute (e.g., 'ls -la', 'cd /var/log')\"},\n        \"session_name\": {\"type\": \"string\", \"description\": \"Session name for connection reuse. Default is 'default'\", \"default\": \"default\", \"nullable\": True},\n        \"timeout\": {\"type\": \"integer\", \"description\": \"Command timeout in seconds. Default is 30\", \"default\": 30, \"nullable\": True}\n    }\n    output_type = \"string\"\n    category = ToolCategory.TERMINAL.value\n\n    tool_sign = ToolSign.TERMINAL_OPERATION.value  # Terminal operation tool identifier\n\n    def __init__(self, \n                 init_path: str = Field(description=\"Initial workspace path\", default=\"~\"),\n                 observer: MessageObserver = Field(description=\"Message observer\", default=None, exclude=True),\n                 ssh_host: str = Field(description=\"SSH host\", default=\"nexent-openssh-server\"),\n                 ssh_port: int = Field(description=\"SSH port\", default=22),\n                 ssh_user: str = Field(description=\"SSH username\"),\n                 password: str = Field(description=\"SSH password\")):\n        \"\"\"Initialize the TerminalTool.\n        \n        Args:\n            init_path (str): Initial workspace path. Defaults to \"~\".\n            observer (MessageObserver, optional): Message observer instance. Defaults to None.\n            ssh_host (str): SSH server host. Defaults to \"nexent-openssh-server\".\n            ssh_port (int): SSH server port. Defaults to 22.\n            ssh_user (str): SSH username. Required parameter.\n            password (str): SSH password for authentication. Required parameter.\n        \"\"\"\n        super().__init__()\n        # Handle ~ for home directory and None values\n        if init_path == \"~\":\n            self.init_path = \"~\"\n        elif init_path is None:\n            self.init_path = None\n        else:\n            self.init_path = os.path.abspath(init_path)\n\n        # Class-level session storage\n        self._sessions: Dict[str, Dict[str, Any]] = {}\n\n        self.observer = observer\n        self.ssh_host = ssh_host\n        self.ssh_port = ssh_port\n        self.ssh_user = ssh_user\n        self.password = password\n        self.running_prompt_zh = \"正在执行终端命令...\"\n        self.running_prompt_en = \"Executing terminal command...\"\n\n    def _get_session(self, session_name: str) -> Dict[str, Any]:\n        \"\"\"Get or create SSH session.\n        \n        Args:\n            session_name (str): Session identifier\n            \n        Returns:\n            Dict containing SSH client and channel\n        \"\"\"\n        if session_name not in self._sessions:\n            self._sessions[session_name] = self._create_session()\n        \n        session = self._sessions[session_name]\n        \n        # Check if connection is still alive\n        if not self._is_session_alive(session):\n            logger.info(f\"Session {session_name} is dead, recreating...\")\n            self._cleanup_session(session)\n            self._sessions[session_name] = self._create_session()\n            session = self._sessions[session_name]\n            \n        return session\n\n    def _create_session(self) -> Dict[str, Any]:\n        \"\"\"Create new SSH session.\n        \n        Returns:\n            Dict containing SSH client and channel\n            \n        Raises:\n            Exception: If SSH connection fails\n        \"\"\"\n        try:\n            # Create SSH client\n            client = paramiko.SSHClient()\n            client.set_missing_host_key_policy(paramiko.AutoAddPolicy())\n            \n            # Authentication: password only\n            if not self.password:\n                raise ValueError(\"SSH password is required for authentication\")\n            \n            # Use password authentication\n            client.connect(\n                hostname=self.ssh_host,\n                port=self.ssh_port,\n                username=self.ssh_user,\n                password=self.password,\n                timeout=10\n            )\n            logger.info(f\"Connected using password authentication\")\n            \n            # Create interactive shell\n            channel = client.invoke_shell()\n            time.sleep(1)  # Wait for shell initialization\n            \n            # Clear initial output\n            if channel.recv_ready():\n                channel.recv(4096)\n            \n            # Change to initial working directory\n            if self.init_path:\n                cd_command = f\"cd {self.init_path}\"\n                channel.send(cd_command + \"\\n\")\n                time.sleep(0.5)\n                # Clear the cd command output\n                if channel.recv_ready():\n                    channel.recv(4096)\n                logger.info(f\"Changed to working directory: {self.init_path}\")\n            \n            logger.info(f\"SSH session created successfully: {self.ssh_user}@{self.ssh_host}:{self.ssh_port}\")\n            \n            return {\n                \"client\": client,\n                \"channel\": channel,\n                \"created_time\": time.time()\n            }\n            \n        except Exception as e:\n            logger.error(f\"Failed to create SSH session: {str(e)}\")\n            raise\n\n    def _is_session_alive(self, session: Dict[str, Any]) -> bool:\n        \"\"\"Check if SSH session is still alive.\n        \n        Args:\n            session: Session dictionary\n            \n        Returns:\n            bool: True if session is alive\n        \"\"\"\n        try:\n            if not session or \"channel\" not in session:\n                return False\n            \n            channel = session[\"channel\"]\n            if channel.closed:\n                return False\n                \n            # Send a simple test command\n            transport = channel.get_transport()\n            if transport and transport.is_active():\n                return True\n                \n            return False\n        except Exception:\n            return False\n\n    def _cleanup_session(self, session: Dict[str, Any]):\n        \"\"\"Clean up SSH session resources.\n        \n        Args:\n            session: Session dictionary to cleanup\n        \"\"\"\n        try:\n            if session and \"channel\" in session:\n                session[\"channel\"].close()\n            if session and \"client\" in session:\n                session[\"client\"].close()\n        except Exception:\n            pass\n\n    def _clean_output(self, raw_output: str, command: str) -> str:\n        \"\"\"Clean terminal output by removing control characters and prompts.\n        \n        Args:\n            raw_output: Raw terminal output\n            command: The executed command\n            \n        Returns:\n            str: Cleaned output\n        \"\"\"\n        if not raw_output:\n            return \"\"\n        \n        # Remove ANSI escape sequences (colors, cursor control, etc.)\n        ansi_escape = re.compile(r'\\x1B(?:[@-Z\\\\-_]|\\[[0-?]*[ -/]*[@-~])')\n        cleaned = ansi_escape.sub('', raw_output)\n        \n        # Remove bracketed paste mode sequences\n        cleaned = re.sub(r'\\x1b\\[\\?2004[lh]', '', cleaned)\n        \n        # Split into lines and process\n        lines = cleaned.split('\\n')\n        result_lines = []\n        \n        # Remove the echo of the command itself (first occurrence)\n        command_found = False\n        for line in lines:\n            line = line.strip('\\r\\n ')\n            \n            # Skip empty lines at the beginning\n            if not line and not result_lines:\n                continue\n                \n            # Skip the command echo (usually the first non-empty line)\n            if not command_found and command.strip() in line:\n                command_found = True\n                continue\n            \n            # Skip shell prompts (lines ending with $ or #)\n            if re.match(r'.*[@#$]\\s*$', line):\n                continue\n                \n            # Skip lines that look like shell prompts with hostname\n            if re.match(r'^[^@]*@[^:]*:[^$]*\\$\\s*$', line):\n                continue\n                \n            if line:  # Only add non-empty lines\n                result_lines.append(line)\n        \n        # Join the cleaned lines\n        result = '\\n'.join(result_lines).strip()\n        \n        return result\n\n    def _execute_command(self, channel, command: str, timeout: int = 30) -> str:\n        \"\"\"Execute command on SSH channel.\n        \n        Args:\n            channel: SSH channel\n            command: Command to execute\n            timeout: Command timeout in seconds\n            \n        Returns:\n            str: Command output\n        \"\"\"\n        try:\n            # Send command\n            channel.send(command + \"\\n\")\n            time.sleep(0.5)\n            \n            # Collect output\n            output = \"\"\n            start_time = time.time()\n            last_output_time = start_time\n            \n            while time.time() - start_time < timeout:\n                if channel.recv_ready():\n                    chunk = channel.recv(1024).decode('utf-8', errors='ignore')\n                    output += chunk\n                    last_output_time = time.time()\n                    \n                # Check for prompt (command completion)\n                if output and ('$ ' in output[-20:] or '# ' in output[-20:] or '> ' in output[-20:]):\n                    time.sleep(0.5)\n                    if not channel.recv_ready():\n                        break\n                \n                # If no output for a while, command might be complete\n                if time.time() - last_output_time > 2:\n                    break\n                    \n                time.sleep(0.1)\n            \n            # Clean the output before returning\n            cleaned_output = self._clean_output(output, command)\n            return cleaned_output\n            \n        except Exception as e:\n            logger.error(f\"Command execution error: {str(e)}\")\n            return f\"Error executing command: {str(e)}\"\n\n    def forward(self, command: str, session_name: str = \"default\", timeout: int = 30) -> str:\n        \"\"\"Execute terminal command via SSH.\n        \n        Args:\n            command (str): Shell command to execute\n            session_name (str): Session name for connection reuse\n            timeout (int): Command timeout in seconds\n            \n        Returns:\n            str: Command execution result\n        \"\"\"\n        if self.observer:\n            running_prompt = self.running_prompt_zh if self.observer.lang == \"zh\" else self.running_prompt_en\n            self.observer.add_message(\"\", ProcessType.TOOL, running_prompt)\n            card_content = [{\"icon\": \"terminal\", \"text\": f\"Executing: {command}\"}]\n            self.observer.add_message(\"\", ProcessType.CARD, json.dumps(card_content, ensure_ascii=False))\n\n        try:\n            # Get or create session\n            session = self._get_session(session_name)\n            channel = session[\"channel\"]\n            \n            # Execute command\n            result = self._execute_command(channel, command, timeout)\n            \n            # Prepare result\n            result_data = {\n                \"command\": command,\n                \"session_name\": session_name,\n                \"output\": result,\n                \"timestamp\": time.time()\n            }\n            \n            if self.observer:\n                self.observer.add_message(\"\", ProcessType.TOOL, f\"Command executed: {command}\")\n            \n            return json.dumps(result_data, ensure_ascii=False, indent=2)\n            \n        except Exception as e:\n            error_msg = f\"Terminal command execution failed: {str(e)}\"\n            logger.error(error_msg)\n            \n            if self.observer:\n                self.observer.add_message(\"\", ProcessType.TOOL, error_msg)\n            \n            return json.dumps({\n                \"command\": command,\n                \"session_name\": session_name,\n                \"error\": str(e),\n                \"timestamp\": time.time()\n            }, ensure_ascii=False, indent=2)\n"
  },
  {
    "path": "sdk/nexent/core/utils/__init__.py",
    "content": "from .observer import MessageObserver, ProcessType\n\n__all__ = [\"MessageObserver\", \"ProcessType\"]"
  },
  {
    "path": "sdk/nexent/core/utils/constants.py",
    "content": "THINK_TAG_PATTERN = r\"(?:<think>)?.*?</think>\"\n# Pattern to match \"思考：\" or \"思考:\" followed by content until two newlines\nTHINK_PREFIX_PATTERN = r\"思考[：:].*?\\n\\n\"\n"
  },
  {
    "path": "sdk/nexent/core/utils/favicon_extractor.py",
    "content": "import requests\nfrom urllib.parse import urlparse\n\ndef get_favicon_url(page_url):\n    \"\"\"\n    从给定网页URL提取favicon图标地址\n\n    参数:\n        page_url (str): 要分析的网页URL\n\n    返回:\n        str: favicon图标的完整URL，如果找不到则返回None\n    \"\"\"\n\n    # 解析输入URL\n    parsed_url = urlparse(page_url)\n    base_url = f\"{parsed_url.scheme}://{parsed_url.netloc}\"\n    default_favicon = f\"{base_url}/favicon.ico\"\n    return default_favicon\n\n\ndef check_favicon_exists(url):\n    \"\"\"\n    检查给定的favicon URL是否有效\n\n    参数:\n        url (str): 要检查的favicon URL\n\n    返回:\n        bool: 如果URL存在且返回200状态码则为True\n    \"\"\"\n    try:\n        response = requests.head(url, timeout=3, allow_redirects=True)\n        return response.status_code == 200\n    except Exception:\n        return False\n\n\nif __name__ == \"__main__\":\n    url = \"https://www.travelking.com.tw/zh-cn/tourguide/scenery100577.html\"\n    # url = \"https://apps.apple.com/cn/app/wemeeting/id1480497919\"\n\n    # 获取favicon URL\n    import time\n    start = time.time()\n    favicon_url = get_favicon_url(url)\n\n    if favicon_url:\n        print(f\"找到favicon: {favicon_url}\")\n    else:\n        print(\"未找到favicon\")\n    end = time.time()\n    print(str(end - start))\n\n    print(check_favicon_exists(favicon_url))\n\n"
  },
  {
    "path": "sdk/nexent/core/utils/observer.py",
    "content": "import json\nimport re\nfrom collections import deque\nfrom enum import Enum\nfrom typing import Any\n\n\nclass ProcessType(Enum):\n    MODEL_OUTPUT_THINKING = \"model_output_thinking\"  # model streaming output, thinking content\n    MODEL_OUTPUT_DEEP_THINKING = \"model_output_deep_thinking\"  # model streaming output, deep thinking content\n    MODEL_OUTPUT_CODE = \"model_output_code\"  # model streaming output, code content\n\n    STEP_COUNT = \"step_count\"  # current step of agent\n    PARSE = \"parse\"  # code parsing result\n    EXECUTION_LOGS = \"execution_logs\"  # code execution result\n    AGENT_NEW_RUN = \"agent_new_run\"  # Agent basic information\n    AGENT_FINISH = \"agent_finish\"  # sub-agent end of run mark, mainly used for front-end display\n    FINAL_ANSWER = \"final_answer\"  # final summary\n    ERROR = \"error\"  # error field\n    OTHER = \"other\"  # temporary other fields\n    TOKEN_COUNT = \"token_count\"  # record the number of tokens used in each step\n\n    SEARCH_CONTENT = \"search_content\"  # search content in tool\n    PICTURE_WEB = \"picture_web\"  # record the image after联网搜索\n\n    CARD = \"card\"  # content that needs to be rendered by the front end using cards\n    TOOL = \"tool\"  # tool name\n    MEMORY_SEARCH = \"memory_search\"  # memory search status\n\n\n# message transformer base class\nclass MessageTransformer:\n    def transform(self, **kwargs: Any) -> str:\n        \"\"\"convert the content to a specific format\"\"\"\n        raise NotImplementedError(\"subclasses must implement the transform method\")\n\n\n# specific implementation class of message transformer\nclass DefaultTransformer(MessageTransformer):\n    def transform(self, **kwargs: Any) -> str:\n        \"\"\"return any message, no processing\"\"\"\n        content = kwargs.get(\"content\", \"\")\n        return content\n\n\nclass StepCountTransformer(MessageTransformer):\n    # step template\n    TEMPLATES = {\"zh\": \"\\n**步骤 {0}** \\n\", \"en\": \"\\n**Step {0}** \\n\"}\n\n    def transform(self, **kwargs: Any) -> str:\n        \"\"\"convert the message of step count\"\"\"\n        content = kwargs.get(\"content\", \"\")\n        lang = kwargs.get(\"lang\", \"en\")\n\n        template = self.TEMPLATES.get(lang, self.TEMPLATES[\"en\"])\n        return template.format(content)\n\n\nclass ParseTransformer(MessageTransformer):\n    # parse template\n    TEMPLATES = {\"zh\": \"\\n🛠️ 使用Python解释器执行代码\\n\",\n                 \"en\": \"\\n🛠️ Used tool python_interpreter\\n\"}\n\n    def transform(self, **kwargs: Any) -> str:\n        \"\"\"convert the message of parse result\"\"\"\n        content = kwargs.get(\"content\", \"\")\n        lang = kwargs.get(\"lang\", \"en\")\n\n        template = self.TEMPLATES.get(lang, self.TEMPLATES[\"en\"])\n        return template + f\"```python\\n{content}\\n```\\n\"\n\n\nclass ExecutionLogsTransformer(MessageTransformer):\n    # execution log template\n    TEMPLATES = {\"zh\": \"\\n📝 执行结果\\n\", \"en\": \"\\n📝 Execution Logs\\n\"}\n\n    def transform(self, **kwargs: Any) -> str:\n        \"\"\"convert the message of execution log\"\"\"\n        content = kwargs.get(\"content\", \"\")\n        lang = kwargs.get(\"lang\", \"en\")\n\n        template = self.TEMPLATES.get(lang, self.TEMPLATES[\"en\"])\n        return template + f\"```bash\\n{content}\\n```\\n\"\n\n\nclass FinalAnswerTransformer(MessageTransformer):\n    def transform(self, **kwargs: Any) -> str:\n        \"\"\"convert the message of final answer\"\"\"\n        content = kwargs.get(\"content\", \"\")\n\n        return f\"{content}\"\n\n\nclass TokenCountTransformer(MessageTransformer):\n    TEMPLATES = {\"zh\": \"步骤耗时：{0}\", \"en\": \"Duration:{0}\"}\n\n    def transform(self, **kwargs: Any) -> str:\n        \"\"\"convert the message of token count\"\"\"\n        content = kwargs.get(\"content\", \"\")\n        lang = kwargs.get(\"lang\", \"en\")\n\n        template = self.TEMPLATES.get(lang, self.TEMPLATES[\"en\"])\n        return f\"\"\"<span style=\"color: #bbbbc2; font-size: 12px;\">{template.format(content)}</span> \"\"\"\n\n\nclass ErrorTransformer(MessageTransformer):\n    # error template\n    TEMPLATES = {\"zh\": \"\\n💥 运行出错： \\n{0}\\n\", \"en\": \"\\n💥 Error: \\n{0}\\n\"}\n\n    def transform(self, **kwargs: Any) -> str:\n        \"\"\"convert the message of error\"\"\"\n        content = kwargs.get(\"content\", \"\")\n        lang = kwargs.get(\"lang\", \"en\")\n\n        template = self.TEMPLATES.get(lang, self.TEMPLATES[\"en\"])\n        return template.format(content)\n\n\nclass MessageObserver:\n    # set the maximum buffer size, can be adjusted according to needs\n    MAX_TOKEN_BUFFER_SIZE = 10\n    \n    def __init__(self, lang=\"zh\"):\n        # unified output to the front end string, changed to queue\n        self.message_query = []\n\n        # control output language\n        self.lang = lang\n\n        # initialize message transformer\n        self._init_message_transformers()\n\n        # double-ended queue for storing and analyzing the latest tokens\n        self.token_buffer = deque()\n\n        # current output mode: default is thinking mode\n        self.current_mode = ProcessType.MODEL_OUTPUT_THINKING\n\n        # code block marker mode\n        self.code_pattern = re.compile(r\"(代码|Code)([：:])\\s*```\")\n\n        # think tag state management for real-time processing\n        self.think_buffer = deque()\n        self.in_think_mode = False\n        self.think_start_pattern = re.compile(r\"<think>\")\n        self.think_end_pattern = re.compile(r\"</think>\")\n\n    def _init_message_transformers(self):\n        \"\"\"initialize the mapping of message type to transformer\"\"\"\n        default_transformer = DefaultTransformer()\n\n        self.transformers = {\n            ProcessType.AGENT_NEW_RUN: default_transformer,\n            ProcessType.STEP_COUNT: StepCountTransformer(),\n            ProcessType.PARSE: ParseTransformer(),\n            ProcessType.EXECUTION_LOGS: ExecutionLogsTransformer(),\n            ProcessType.FINAL_ANSWER: FinalAnswerTransformer(),\n            ProcessType.ERROR: ErrorTransformer(),\n            ProcessType.OTHER: default_transformer,\n            ProcessType.SEARCH_CONTENT: default_transformer,\n            ProcessType.TOKEN_COUNT: TokenCountTransformer(),\n            ProcessType.PICTURE_WEB: default_transformer,\n            ProcessType.AGENT_FINISH: default_transformer,\n            ProcessType.CARD: default_transformer,\n            ProcessType.TOOL: default_transformer,\n            ProcessType.MEMORY_SEARCH: default_transformer\n        }\n\n    def add_model_new_token(self, new_token):\n        \"\"\"\n        Process streaming tokens with real-time think tag detection and content classification\n        \"\"\"\n        # Add token to think buffer\n        self.think_buffer.append(new_token)\n        \n        # Check for think tag patterns in the buffer\n        buffer_text = ''.join(self.think_buffer)\n        \n        # Check for think start tag\n        if not self.in_think_mode:\n            start_match = self.think_start_pattern.search(buffer_text)\n            if start_match:\n                # Found <think> tag, switch to think mode\n                self.in_think_mode = True\n                # Clear buffer and keep only content after <think>\n                self.think_buffer.clear()\n                think_content = buffer_text[start_match.end():]\n                if think_content:\n                    self.think_buffer.append(think_content)\n        \n        # Check for think end tag\n        if self.in_think_mode:\n            end_match = self.think_end_pattern.search(buffer_text)\n            if end_match:\n                # Found </think> tag, exit think mode\n                self.in_think_mode = False\n                # Process think content before </think>\n                think_content = buffer_text[:end_match.start()]\n                if think_content:\n                    self.message_query.append(\n                        Message(ProcessType.MODEL_OUTPUT_DEEP_THINKING, think_content).to_json())\n                \n                # Process content after </think> as normal content\n                after_think = buffer_text[end_match.end():]\n                if after_think:\n                    self._process_normal_content(after_think)\n                self.think_buffer.clear()\n\n        while len(self.think_buffer) > self.MAX_TOKEN_BUFFER_SIZE:\n            think_content = self.think_buffer.popleft()\n            # In think mode, output accumulated content as deep thinking\n            if self.in_think_mode:\n                self.message_query.append(\n                    Message(ProcessType.MODEL_OUTPUT_DEEP_THINKING, think_content).to_json())\n            else:\n                self._process_normal_content(think_content)\n\n\n    def _process_normal_content(self, content):\n        \"\"\"\n        Process normal content (non-deep-think content) for code block detection\n        \"\"\"\n        self.token_buffer.append(content)\n        \n        # concatenate the buffer into text for checking code blocks\n        buffer_text = ''.join(self.token_buffer)\n\n        # find the code block marker\n        match = self.code_pattern.search(buffer_text)\n\n        if match:\n            # found the code block marker\n            match_start = match.start()\n\n            # only switch mode when in thinking mode\n            if self.current_mode == ProcessType.MODEL_OUTPUT_THINKING:\n                # send the content before the matching position as thinking\n                prefix_text = buffer_text[:match_start]\n                if prefix_text:\n                    self.message_query.append(\n                        Message(ProcessType.MODEL_OUTPUT_THINKING, prefix_text).to_json())\n\n                # send the content after the matching part as code\n                code_text = buffer_text[match_start:]\n                if code_text:\n                    self.message_query.append(\n                        Message(ProcessType.MODEL_OUTPUT_CODE, code_text).to_json())\n\n                # switch mode\n                self.current_mode = ProcessType.MODEL_OUTPUT_CODE\n            else:\n                # already in code mode, send the entire buffer content as code\n                self.message_query.append(\n                    Message(ProcessType.MODEL_OUTPUT_CODE, buffer_text).to_json())\n\n            # clear the buffer\n            self.token_buffer.clear()\n        else:\n            # not found the code block marker, pop the first token from the queue (if the buffer length exceeds a certain size)\n            max_buffer_size = self.MAX_TOKEN_BUFFER_SIZE\n            while len(self.token_buffer) > max_buffer_size:\n                oldest_token = self.token_buffer.popleft()\n                self.message_query.append(\n                    Message(self.current_mode, oldest_token).to_json())\n\n    def flush_remaining_tokens(self):\n        \"\"\"\n        send the remaining tokens in the double-ended queue\n        \"\"\"\n        # Process remaining think buffer content\n        if self.think_buffer:\n            think_buffer_text = ''.join(self.think_buffer)\n            if self.in_think_mode:\n                # Still in think mode, remove any think tags and process as deep thinking\n                think_buffer_text = re.sub(r\"<think>|</think>\", \"\", think_buffer_text)\n                if think_buffer_text:\n                    self.message_query.append(\n                        Message(ProcessType.MODEL_OUTPUT_DEEP_THINKING, think_buffer_text).to_json())\n            else:\n                # Not in think mode, process as normal content\n                if think_buffer_text:\n                    self._process_normal_content(think_buffer_text)\n            self.think_buffer.clear()\n        \n        # Process remaining normal buffer content\n        if self.token_buffer:\n            buffer_text = ''.join(self.token_buffer)\n            self.message_query.append(\n                Message(self.current_mode, buffer_text).to_json())\n            self.token_buffer.clear()\n\n    def add_message(self, agent_name, process_type, content, **kwargs):\n        \"\"\"add message to the queue\"\"\"\n        transformer = self.transformers.get(\n            process_type, self.transformers[ProcessType.OTHER])\n        formatted_content = transformer.transform(\n            content=content, lang=self.lang, agent_name=agent_name, **kwargs)\n        self.message_query.append(\n            Message(process_type, formatted_content).to_json())\n\n    def add_model_reasoning_content(self, reasoning_content):\n        \"\"\"\n        Handle reasoning content from the model with type MODEL_OUTPUT_DEEP_THINKING\n        \"\"\"\n        if reasoning_content:\n            self.message_query.append(\n                Message(ProcessType.MODEL_OUTPUT_DEEP_THINKING, reasoning_content).to_json())\n\n    def get_cached_message(self):\n        cached_message = self.message_query\n        self.message_query = []\n        return cached_message\n\n    def get_final_answer(self):\n        for item in self.message_query:\n            if isinstance(item, str):\n                try:\n                    data = json.loads(item)\n                except json.JSONDecodeError:\n                    continue\n                if data.get(\"type\") == ProcessType.FINAL_ANSWER.value:\n                    return data.get(\"content\")\n\n        return None\n\n# fixed MessageObserver output format\nclass Message:\n    def __init__(self, message_type: ProcessType, content):\n        self.message_type = message_type\n        self.content = content\n\n    # generate json format and convert to string\n    def to_json(self):\n        return json.dumps({\"type\": self.message_type.value, \"content\": self.content}, ensure_ascii=False)\n"
  },
  {
    "path": "sdk/nexent/core/utils/prompt_template_utils.py",
    "content": "import logging\nimport os\nfrom typing import Dict, Any\n\nimport yaml\n\nLANGUAGE = {\n    \"ZH\": \"zh\",\n    \"EN\": \"en\"\n}\n\nlogger = logging.getLogger(\"prompt_template_utils\")\n\n# Define template path mapping\ntemplate_paths = {\n    'analyze_image': {\n        LANGUAGE[\"ZH\"]: 'core/prompts/analyze_image_zh.yaml',\n        LANGUAGE[\"EN\"]: 'core/prompts/analyze_image_en.yaml'\n    },\n    'analyze_file': {\n        LANGUAGE[\"ZH\"]: 'core/prompts/analyze_file_zh.yaml',\n        LANGUAGE[\"EN\"]: 'core/prompts/analyze_file_en.yaml'\n    }\n}\n\ndef get_prompt_template(template_type: str, language: str = LANGUAGE[\"ZH\"], **kwargs) -> Dict[str, Any]:\n    \"\"\"\n    Get prompt template\n\n    Args:\n        template_type: Template type, supports the following values:\n            - 'analyze_image': Analyze image template\n            - 'analyze_file': Analyze file template (for text files)\n        language: Language code ('zh' or 'en')\n        **kwargs: Additional parameters, for agent type need to pass is_manager parameter\n\n    Returns:\n        dict: Loaded prompt template\n    \"\"\"\n    logger.info(\n        f\"Getting prompt template for type: {template_type}, language: {language}, kwargs: {kwargs}\")\n\n    if template_type not in template_paths:\n        raise ValueError(f\"Unsupported template type: {template_type}\")\n\n    # Get template path\n    template_path = template_paths[template_type][language]\n\n    # Get the directory of this file and construct absolute path\n    current_dir = os.path.dirname(os.path.abspath(__file__))\n    # Go up one level from utils to core, then use the template path\n    core_dir = os.path.dirname(current_dir)\n    absolute_template_path = os.path.join(core_dir, template_path.replace('core/', ''))\n\n    # Read and return template content\n    with open(absolute_template_path, 'r', encoding='utf-8') as f:\n        return yaml.safe_load(f)"
  },
  {
    "path": "sdk/nexent/core/utils/tools_common_message.py",
    "content": "from dataclasses import dataclass\nfrom typing import Optional, Dict, Any\nfrom enum import Enum\n\n\nclass ToolSign(Enum):\n    \"\"\"Tool identifier enum for distinguishing different search sources in summaries\"\"\"\n    KNOWLEDGE_BASE = \"a\"      # Knowledge base search tool identifier\n    EXA_SEARCH = \"b\"  # Exa search tool identifier\n    LINKUP_SEARCH = \"c\"       # Linkup search tool identifier\n    TAVILY_SEARCH = \"d\"  # Tavily search tool identifier\n    DATAMATE_SEARCH = \"e\"  # DataMate search tool identifier\n    DIFY_SEARCH = \"g\"  # Dify search tool identifier\n    IDATA_SEARCH = \"h\"  # iData search tool identifier\n    FILE_OPERATION = \"f\"      # File operation tool identifier\n    TERMINAL_OPERATION = \"t\"  # Terminal operation tool identifier\n    MULTIMODAL_OPERATION = \"m\"  # Multimodal operation tool identifier\n\n\n# Tool sign mapping for backward compatibility\nTOOL_SIGN_MAPPING = {\n    \"knowledge_base_search\": ToolSign.KNOWLEDGE_BASE.value,\n    \"tavily_search\": ToolSign.TAVILY_SEARCH.value,\n    \"linkup_search\": ToolSign.LINKUP_SEARCH.value,\n    \"exa_search\": ToolSign.EXA_SEARCH.value,\n    \"datamate_search\": ToolSign.DATAMATE_SEARCH.value,\n    \"dify_search\": ToolSign.DIFY_SEARCH.value,\n    \"idata_search\": ToolSign.IDATA_SEARCH.value,\n    \"file_operation\": ToolSign.FILE_OPERATION.value,\n    \"terminal_operation\": ToolSign.TERMINAL_OPERATION.value,\n    \"multimodal_operation\": ToolSign.MULTIMODAL_OPERATION.value,\n}\n\n# Reverse mapping for lookup\nREVERSE_TOOL_SIGN_MAPPING = {v: k for k, v in TOOL_SIGN_MAPPING.items()}\n\n\nclass ToolCategory(Enum):\n    \"\"\"Enumeration for MCP tool categories\"\"\"\n    SEARCH = \"search\"\n    FILE = \"file\"\n    EMAIL = \"email\"\n    TERMINAL = \"terminal\"\n    MULTIMODAL = \"multimodal\"\n\n\n@dataclass\nclass SearchResultTextMessage:\n    \"\"\"\n    Unified search result message class, containing all fields for search and FinalAnswerFormat tools.\n    \"\"\"\n\n    def __init__(self, title: str, url: str, text: str, published_date: Optional[str] = None,\n                 source_type: Optional[str] = None, filename: Optional[str] = None, score: Optional[str] = None,\n                 score_details: Optional[Dict[str, Any]] = None, cite_index: Optional[int] = None,\n                 search_type: Optional[str] = None, tool_sign: Optional[str] = None):\n        self.title = title\n        self.url = url\n        self.text = text\n        self.published_date = published_date\n        self.source_type = source_type\n        self.filename = filename\n        self.score = score\n        self.score_details = score_details\n        self.cite_index = cite_index\n        self.search_type = search_type\n        self.tool_sign = tool_sign\n\n    def to_dict(self) -> Dict[str, Any]:\n        \"\"\"Convert SearchResult object to dictionary format to save all data.\"\"\"\n        return {\"title\": self.title, \"url\": self.url, \"text\": self.text, \"published_date\": self.published_date,\n                \"source_type\": self.source_type, \"filename\": self.filename, \"score\": self.score,\n                \"score_details\": self.score_details, \"cite_index\": self.cite_index, \"search_type\": self.search_type,\n                \"tool_sign\": self.tool_sign}\n\n    def to_model_dict(self) -> Dict[str, Any]:\n        \"\"\"Format for input to the large model summary.\"\"\"\n        return {\"title\": self.title, \"text\": self.text, \"index\": f\"{self.tool_sign}{self.cite_index}\"}\n"
  },
  {
    "path": "sdk/nexent/data_process/__init__.py",
    "content": "\"\"\"\nNexent Data Processing Module\n\nThis module provides core functionality for processing various types of data files.\n\"\"\"\n\nfrom .core import DataProcessCore\n\n__all__ = ['DataProcessCore'] "
  },
  {
    "path": "sdk/nexent/data_process/base.py",
    "content": "from abc import ABC, abstractmethod\nfrom typing import Dict, List, Optional\n\n\nclass FileProcessor(ABC):\n    @abstractmethod\n    def process_file(\n        self, file_data: bytes, chunking_strategy: str, filename: Optional[str], path_or_url: Optional[str], **params\n    ) -> List[Dict]:\n        pass\n"
  },
  {
    "path": "sdk/nexent/data_process/core.py",
    "content": "import logging\nimport os\nfrom typing import Dict, List, Optional\n\nfrom .base import FileProcessor\nfrom .openpyxl_processor import OpenPyxlProcessor\nfrom .unstructured_processor import UnstructuredProcessor\n\n\nlogger = logging.getLogger(\"data_process.core\")\nlogger.setLevel(logging.DEBUG)\n\n\nclass DataProcessCore:\n    \"\"\"\n    Core data processing functionality class with distributed processing capabilities\n\n    Supported file types:\n    - Excel files: .xlsx, .xls\n    - Generic files: .txt, .pdf, .docx, .doc, .html, .htm, .md, .rtf, .odt, .pptx, .ppt\n\n    Supported input methods:\n    - In-memory byte data\n    \"\"\"\n\n    # Supported Excel file extensions\n    EXCEL_EXTENSIONS = {\".xlsx\", \".xls\"}\n\n    # Supported chunking strategies\n    CHUNKING_STRATEGIES = {\"basic\", \"by_title\", \"none\"}\n\n    # Supported processors\n    PROCESSORS = {\"Unstructured\", \"OpenPyxl\"}\n\n    def __init__(self):\n        \"\"\"\n        Initialize the core data processing component\n        \"\"\"\n        self.processors: Dict[str, FileProcessor] = {\n            \"Unstructured\": UnstructuredProcessor(),\n            \"OpenPyxl\": OpenPyxlProcessor(),\n        }\n        logger.debug(\"DataProcessCore initialization completed\")\n\n    def file_process(\n        self,\n        file_data: bytes,\n        filename: str,\n        chunking_strategy: str = \"basic\",\n        processor: Optional[str] = None,\n        **params,\n    ) -> List[Dict]:\n        \"\"\"\n        Facade pattern that automatically detects file type and processes files\n\n        Args:\n            file_data: File content byte data (for in-memory processing)\n            filename: Filename\n            chunking_strategy: Chunking strategy, options: \"basic\", \"by_title\", \"none\"\n            processor: Optional processor to use. If None, auto-detects from filename.\n                       Options: \"Unstructured\", \"OpenPyxl\"\n            **params: Additional processing parameters\n\n        Returns:\n            List of processed chunks, each dictionary contains the following fields:\n            - content: Text content\n            - filename: Filename\n            - metadata: Metadata (optional, includes chunk_index, source_type, etc.)\n            - language: Language identifier (optional)\n\n        Raises:\n            ValueError: Invalid parameters\n            ImportError: Missing required dependencies\n        \"\"\"\n        # Parameter validation\n        self._validate_parameters(chunking_strategy, processor)\n\n        # Select appropriate processor\n        processor_name = processor or self._select_processor_by_filename(\n            filename)\n        processor_instance = self.processors.get(processor_name)\n\n        if not processor_instance:\n            raise ValueError(f\"Unsupported processor: {processor_name}\")\n\n        # Process in-memory file\n        logger.info(\n            f\"Processing in-memory file: {filename} with {processor_name} processor\")\n        try:\n            return processor_instance.process_file(file_data, chunking_strategy, filename=filename, **params)\n        except Exception as e:\n            logger.error(f\"File processing failed for {filename}: {str(e)}\")\n            raise\n\n    def _validate_parameters(self, chunking_strategy: str, processor: Optional[str]) -> None:\n        \"\"\"Validate input parameters\"\"\"\n        # Check chunking strategy\n        if chunking_strategy not in self.CHUNKING_STRATEGIES:\n            raise ValueError(\n                f\"Unsupported chunking strategy: {chunking_strategy}. \"\n                f\"Supported strategies: {', '.join(self.CHUNKING_STRATEGIES)}\"\n            )\n\n        # Check processor type if provided\n        if processor and processor not in self.PROCESSORS:\n            raise ValueError(\n                f\"Unsupported processor type: {processor}. Supported types: {', '.join(self.PROCESSORS)}\")\n\n        logger.debug(\n            f\"Parameter validation passed: chunking_strategy={chunking_strategy}, processor={processor}\")\n\n    def _select_processor_by_filename(self, filename: str) -> str:\n        \"\"\"Selects a processor based on the file extension.\"\"\"\n        _, file_extension = os.path.splitext(filename)\n        file_extension = file_extension.lower()\n        if file_extension in self.EXCEL_EXTENSIONS:\n            return \"OpenPyxl\"\n        else:\n            return \"Unstructured\"\n\n    def get_supported_file_types(self) -> Dict[str, List[str]]:\n        \"\"\"\n        Get supported file types\n\n        Returns:\n            Dictionary containing supported file types:\n            - excel: List of Excel file extensions\n            - generic: List of generic file extensions\n        \"\"\"\n        unstructured_processor = self.processors.get(\"Unstructured\")\n\n        generic_formats = []\n        if isinstance(unstructured_processor, UnstructuredProcessor) and hasattr(\n            unstructured_processor, \"get_supported_formats\"\n        ):\n            generic_formats = unstructured_processor.get_supported_formats()\n        else:\n            generic_formats = [\n                \".txt\",\n                \".pdf\",\n                \".docx\",\n                \".doc\",\n                \".html\",\n                \".htm\",\n                \".md\",\n                \".rtf\",\n                \".odt\",\n                \".pptx\",\n                \".ppt\",\n            ]\n\n        return {\"excel\": list(self.EXCEL_EXTENSIONS), \"generic\": generic_formats}\n\n    def get_supported_strategies(self) -> List[str]:\n        \"\"\"\n        Get supported chunking strategies\n\n        Returns:\n            List of supported chunking strategies\n        \"\"\"\n        return list(self.CHUNKING_STRATEGIES)\n\n    def get_supported_processors(self) -> List[str]:\n        \"\"\"\n        Get supported processor types\n\n        Returns:\n            List of supported processor types\n        \"\"\"\n        return list(self.PROCESSORS)\n\n    def validate_file_type(self, filename: str) -> bool:\n        \"\"\"\n        Validate if file type is supported\n\n        Args:\n            filename: Filename\n\n        Returns:\n            Whether the file type is supported\n        \"\"\"\n        if not filename:\n            return False\n\n        _, ext = os.path.splitext(filename.lower())\n        supported_types = self.get_supported_file_types()\n\n        return ext in supported_types[\"excel\"] or ext in supported_types[\"generic\"]\n\n    def get_processor_info(self, filename: str) -> Dict[str, str]:\n        \"\"\"\n        Get processor information for the file\n\n        Args:\n            filename: Filename\n\n        Returns:\n            Processor information dictionary containing:\n            - processor_type: Processor type (\"excel\" or \"generic\")\n            - file_extension: File extension\n            - is_supported: Whether it's supported\n        \"\"\"\n        _, ext = os.path.splitext(filename.lower()) if filename else (\"\", \"\")\n\n        processor_type = \"excel\" if ext in self.EXCEL_EXTENSIONS else \"generic\"\n        is_supported = self.validate_file_type(filename)\n\n        return {\"processor_type\": processor_type, \"file_extension\": ext, \"is_supported\": str(is_supported)}\n"
  },
  {
    "path": "sdk/nexent/data_process/openpyxl_processor.py",
    "content": "import io\nimport os\nfrom copy import deepcopy\nfrom typing import Dict, List\n\nimport openpyxl\n\nfrom .base import FileProcessor\n\n\nclass OpenPyxlProcessor(FileProcessor):\n    \"\"\"\n    Unified Excel file processing class, supports in-memory file processing\n    \"\"\"\n\n    def process_file(self, file_data: bytes, chunking_strategy: str, filename: str, **params) -> List[Dict]:\n        \"\"\"Process Excel file in memory\"\"\"\n        return self._process_excel(\n            file_data=file_data, chunking_strategy=chunking_strategy, filename=filename, **params\n        )\n\n    def _process_excel(\n        self, file_data: bytes, chunking_strategy: str = \"basic\", filename: str = \"\", **params\n    ) -> List[Dict]:\n        \"\"\"\n        Core Excel processing logic, supports byte data input\n        \"\"\"\n        # Load workbook\n        wb_original, wb_copy = self._load_workbook(file_data)\n\n        # Extract content\n        raw_content = self._extract_content(wb_original, wb_copy)\n\n        # Convert to standardized chunk format\n        chunks = self._convert_to_chunks(raw_content, filename)\n\n        return chunks\n\n    def _load_workbook(self, file_data: bytes):\n        \"\"\"Load Excel workbook\"\"\"\n        try:\n            file_obj = io.BytesIO(file_data)\n            wb_original = openpyxl.load_workbook(file_obj)\n\n            wb_copy = deepcopy(wb_original)\n            return wb_original, wb_copy\n\n        except Exception as e:\n            raise Exception(f\"Failed to load Excel file: {str(e)}\")\n\n    def _extract_content(self, wb_original, wb_copy) -> List[str]:\n        \"\"\"Extract content from all worksheets\"\"\"\n        contents = []\n\n        for sheet_name in wb_original.sheetnames:\n            sheet = wb_original[sheet_name]\n            sheet_copy = wb_copy[sheet_name]\n\n            if self._is_single_column(sheet):\n                # Process single column data\n                content = self._process_single_column(sheet, sheet_name)\n            else:\n                # Process multi-column table data\n                content = self._process_multi_column(sheet, sheet_copy, sheet_name)\n\n            contents.extend(content)\n\n        return contents\n\n    def _convert_to_chunks(self, raw_content: List[str], filename: str) -> List[Dict]:\n        \"\"\"Convert raw content to standardized chunk format\"\"\"\n        chunks = []\n\n        for i, content_text in enumerate(raw_content):\n            # Determine file type\n            file_type = self._determine_file_type(filename)\n\n            chunk = {\n                \"content\": content_text,\n                \"filename\": filename,\n                \"metadata\": {\"chunk_index\": i, \"file_type\": file_type},\n            }\n            chunks.append(chunk)\n\n        return chunks\n\n    def _determine_file_type(self, filename: str) -> str:\n        \"\"\"Determine Excel file type\"\"\"\n        if filename and filename.lower().endswith(\".xlsx\"):\n            return \"xlsx\"\n        else:\n            return \"xls\"\n\n    def _is_single_column(self, sheet) -> bool:\n        \"\"\"Check if it's single column data\"\"\"\n        _, max_col = self._get_title_row(sheet)\n        return max_col < 2\n\n    def _process_single_column(self, sheet, sheet_name: str) -> List[str]:\n        \"\"\"Process single column data\"\"\"\n        content_str = \"\"\n\n        for row in sheet.iter_rows(values_only=True):\n            if any(cell is not None for cell in row):\n                # Process first non-empty cell\n                cell_value = next((cell for cell in row if cell is not None), \"\")\n                content_str += str(cell_value).replace(\"\\n\", \"<br>\") + \"\\n\"\n\n        return [content_str + \"\\n————\" + sheet_name]\n\n    def _process_multi_column(self, sheet, sheet_copy, sheet_name: str) -> List[str]:\n        \"\"\"Process multi-column table data\"\"\"\n        # Get title row position\n        begin_row, _ = self._get_title_row(sheet_copy)\n\n        # Process merged cells\n        self._merge_all_cells(sheet_copy)\n\n        # Get title and remarks\n        title_key = self._get_title_key(begin_row, sheet)\n        remark = self._get_remark(sheet, begin_row)\n\n        # Extract table content\n        content = self._extract_table_content(title_key, remark, sheet, begin_row, sheet_name)\n\n        return content\n\n    def _get_title_row(self, sheet) -> tuple:\n        \"\"\"Get title row position and maximum column count\"\"\"\n        max_col = 0\n        position_max_col = 0\n\n        # First process column merging\n        self._merge_columns(sheet)\n\n        for row_idx, row in enumerate(sheet.iter_rows(), start=1):\n            non_empty_cells = sum(1 for cell in row if cell.value is not None)\n            if non_empty_cells > max_col:\n                max_col = non_empty_cells\n                position_max_col = row_idx\n\n        return position_max_col, max_col\n\n    def _get_remark(self, sheet, begin_row: int) -> str:\n        \"\"\"Get remarks before the title\"\"\"\n        remark = \"\"\n\n        for row_idx, row in enumerate(sheet.iter_rows(values_only=True), start=1):\n            if not any(cell is not None for cell in row):\n                continue\n            if row_idx >= begin_row:\n                break\n            remark += \"<br>\" + self._join_tuple_elements(row)\n\n        return remark\n\n    def _get_title_key(self, begin_row: int, sheet) -> List[str]:\n        \"\"\"Get column headers from title row\"\"\"\n        for row_idx, row in enumerate(sheet.iter_rows(values_only=True), start=1):\n            if not any(cell is not None for cell in row):\n                continue\n            if row_idx == begin_row:\n                return [str(cell) if cell is not None else \"\" for cell in row]\n        return []\n\n    def _extract_table_content(\n        self, title_key: List[str], remark: str, sheet, begin_row: int, sheet_name: str\n    ) -> List[str]:\n        \"\"\"Extract table content and convert to markdown format\"\"\"\n        content = []\n\n        for row_idx, row in enumerate(sheet.iter_rows(values_only=True), start=1):\n            if not any(cell is not None for cell in row):\n                continue\n            if row_idx <= begin_row:\n                continue\n\n            # Build current row content\n            row_content = self._build_row_content(title_key, row, remark, sheet_name)\n            content.append(row_content)\n\n        return content\n\n    def _build_row_content(self, title_key: List[str], row: tuple, remark: str, sheet_name: str) -> str:\n        \"\"\"Build single row content\"\"\"\n        # Add remark column\n        if remark:\n            title_key_with_remark = title_key + [\"Remark before title\"]\n            row_with_remark = row + (remark,)\n        else:\n            title_key_with_remark = title_key\n            row_with_remark = row\n\n        # Build key-value pair dictionary\n        result = {}\n        for k, v in zip(title_key_with_remark, row_with_remark):\n            key = str(k).replace(\"\\n\", \"<br>\") if k is not None else \"\"\n            value = str(v).replace(\"\\n\", \"<br>\") if v is not None else \"\"\n            result[key] = value\n\n        # Convert to markdown table\n        markdown_table = self._dict_to_markdown_table(result)\n        return markdown_table + \"\\n————\" + sheet_name\n\n    def _merge_columns(self, sheet):\n        \"\"\"Process column merging\"\"\"\n        merged_ranges = list(sheet.merged_cells.ranges)\n\n        # Unmerge cells\n        for merged_range in merged_ranges:\n            if str(merged_range)[0] != str(merged_range)[3]:\n                continue\n            sheet.unmerge_cells(str(merged_range))\n\n        # Fill merged area values\n        for merged_range in merged_ranges:\n            if str(merged_range)[0] != str(merged_range)[3]:\n                continue\n            min_col, min_row, max_col, max_row = merged_range.bounds\n            top_left_value = sheet.cell(row=min_row, column=min_col).value\n\n            for row in range(min_row, max_row + 1):\n                for col in range(min_col, max_col + 1):\n                    sheet.cell(row=row, column=col).value = top_left_value\n\n    def _merge_all_cells(self, sheet):\n        \"\"\"Process all merged cells\"\"\"\n        merged_ranges = list(sheet.merged_cells.ranges)\n\n        # Unmerge all cells\n        for merged_range in merged_ranges:\n            sheet.unmerge_cells(str(merged_range))\n\n        # Fill all merged area values\n        for merged_range in merged_ranges:\n            min_col, min_row, max_col, max_row = merged_range.bounds\n            top_left_value = sheet.cell(row=min_row, column=min_col).value\n\n            for row in range(min_row, max_row + 1):\n                for col in range(min_col, max_col + 1):\n                    sheet.cell(row=row, column=col).value = top_left_value\n\n    @staticmethod\n    def _dict_to_markdown_table(data: Dict[str, str]) -> str:\n        \"\"\"Convert dictionary to markdown table\"\"\"\n        if not data:\n            return \"\"\n\n        keys = []\n        values = []\n\n        for key, value in data.items():\n            keys.append(\"None\" if key is None else str(key))\n            values.append(\"None\" if value is None else str(value))\n\n        # Build markdown table\n        table = \"| \" + \" | \".join(keys) + \" |\\n\"\n        table += \"| \" + \" | \".join([\"---\"] * len(keys)) + \" |\\n\"\n        table += \"| \" + \" | \".join(values) + \" |\"\n\n        return table\n\n    @staticmethod\n    def _join_tuple_elements(input_tuple: tuple) -> str:\n        \"\"\"Join non-empty elements in tuple\"\"\"\n        return \";\".join(str(item) for item in input_tuple if item is not None)\n\n    @staticmethod\n    def _check_file_exists(file_path: str) -> bool:\n        \"\"\"Check if file exists and is readable\"\"\"\n        return os.path.isfile(file_path) and os.access(file_path, os.R_OK)\n"
  },
  {
    "path": "sdk/nexent/data_process/unstructured_processor.py",
    "content": "import io\nimport os\nfrom typing import Dict, List, Optional\n\nfrom .base import FileProcessor\n\n\nclass UnstructuredProcessor(FileProcessor):\n    \"\"\"\n    Unified generic file processing class that supports in-memory file processing.\n    Uses unified internal methods to reduce code duplication.\n    \"\"\"\n\n    def __init__(self):\n        \"\"\"Initialize generic file processor\"\"\"\n        self.default_params = {\n            \"max_characters\": 1536,\n            \"new_after_n_chars\": 1024,\n            \"strategy\": \"fast\",\n            \"skip_infer_table_types\": [],\n            \"task_id\": \"\",\n        }\n\n    def process_file(self, file_data: bytes, chunking_strategy: str, filename: str, **params) -> List[Dict]:\n        \"\"\"\n        Process file in memory (e.g., file fetched from MinIO) and return structured chunks.\n\n        Args:\n            file_data: File byte data\n            chunking_strategy: Chunking strategy (\"basic\", \"by_title\", \"none\")\n            filename: Filename\n            **params: Additional processing parameters\n\n        Returns:\n            List of dictionaries containing processing results\n        \"\"\"\n        return self._process_file(\n            file_data=file_data, chunking_strategy=chunking_strategy, filename=filename, **params\n        )\n\n    def _process_file(\n        self, file_data: bytes, chunking_strategy: str = \"basic\", filename: Optional[str] = None, **params\n    ) -> List[Dict]:\n        \"\"\"\n        Core file processing method that uniformly processes files from byte data.\n\n        Args:\n            file_data: File byte data\n            chunking_strategy: Chunking strategy\n            filename: Filename\n            **params: Additional parameters\n\n        Returns:\n            List of standardized chunk dictionaries\n        \"\"\"\n        from unstructured.partition.auto import partition\n\n        # Validate input parameters\n        if not file_data:\n            raise ValueError(\"Must provide binary file_data\")\n\n        # Merge parameters\n        processed_params = self._merge_params(params)\n\n        # Prepare partition parameters\n        partition_kwargs = self._prepare_partition_kwargs(\n            file_data, chunking_strategy, processed_params)\n\n        # Execute file partitioning\n        elements = partition(**partition_kwargs)\n\n        # Process results\n        return self._process_elements(elements, chunking_strategy, filename)\n\n    def _merge_params(self, user_params: Dict) -> Dict:\n        \"\"\"\n        Merge default parameters with user-provided parameters.\n\n        Args:\n            user_params: User-provided parameters\n\n        Returns:\n            Merged parameter dictionary\n        \"\"\"\n        merged_params = self.default_params.copy()\n        merged_params.update(user_params)\n        return merged_params\n\n    def _prepare_partition_kwargs(self, file_data: bytes, chunking_strategy: str, params: Dict) -> Dict:\n        \"\"\"\n        Prepare parameters required for unstructured.partition.\n\n        Args:\n            file_data: File byte data\n            chunking_strategy: Chunking strategy\n            params: Processing parameters\n\n        Returns:\n            Parameter dictionary for partition function\n        \"\"\"\n        # Base parameters\n        partition_kwargs = {\n            \"max_characters\": params[\"max_characters\"],\n            \"new_after_n_chars\": params[\"new_after_n_chars\"],\n            \"strategy\": params[\"strategy\"],\n            \"skip_infer_table_types\": params[\"skip_infer_table_types\"],\n            \"chunking_strategy\": chunking_strategy if chunking_strategy != \"none\" else None,\n        }\n\n        # Set file input source\n        partition_kwargs[\"file\"] = io.BytesIO(file_data)\n\n        return partition_kwargs\n\n    def _process_elements(self, elements: List, chunking_strategy: str, filename: Optional[str]) -> List[Dict]:\n        \"\"\"\n        Process partitioned elements to generate standardized document chunks.\n\n        Args:\n            elements: List of elements after unstructured partitioning\n            chunking_strategy: Chunking strategy\n            filename: Filename\n\n        Returns:\n            List of standardized document chunks\n        \"\"\"\n        if chunking_strategy == \"none\":\n            return self._create_single_document(elements, filename)\n        else:\n            return self._create_chunked_documents(elements, filename)\n\n    def _create_single_document(self, elements: List, filename: Optional[str]) -> List[Dict]:\n        \"\"\"\n        Create a single document (no chunking).\n\n        Args:\n            elements: List of document elements\n            filename: Filename\n\n        Returns:\n            List containing a single document\n        \"\"\"\n        full_text = \"\\n\\n\".join(\n            [el.text for el in elements if hasattr(el, \"text\")])\n\n        doc = {\n            \"content\": full_text,\n            \"filename\": filename,\n        }\n\n        # Add language information (if available)\n        if elements and hasattr(elements[0], \"metadata\"):\n            languages = elements[0].metadata.to_dict().get(\"languages\")\n            if languages:\n                doc[\"language\"] = languages[0]\n\n        return [doc]\n\n    def _create_chunked_documents(self, elements: List, filename: Optional[str]) -> List[Dict]:\n        \"\"\"\n        Create chunked documents.\n\n        Args:\n            elements: List of document elements\n            filename: Filename\n\n        Returns:\n            List of chunked documents\n        \"\"\"\n        result = []\n\n        for index, element in enumerate(elements):\n            if not hasattr(element, \"text\"):\n                continue\n\n            doc = {\n                \"content\": element.text,\n                \"filename\": filename,\n                \"metadata\": {\"chunk_index\": index, \"element_type\": type(element).__name__},\n            }\n\n            # Add language information\n            if hasattr(element, \"metadata\"):\n                metadata = element.metadata.to_dict()\n                languages = metadata.get(\"languages\")\n                if languages:\n                    doc[\"language\"] = languages[0]\n\n                # Add other useful metadata\n                if \"page_number\" in metadata:\n                    doc[\"metadata\"][\"page_number\"] = metadata[\"page_number\"]\n                if \"coordinates\" in metadata:\n                    doc[\"metadata\"][\"coordinates\"] = metadata[\"coordinates\"]\n\n            result.append(doc)\n\n        return result\n\n    def get_supported_formats(self) -> List[str]:\n        \"\"\"\n        Return list of supported file formats.\n\n        Returns:\n            List of supported file formats\n        \"\"\"\n        return [\".txt\", \".pdf\", \".docx\", \".doc\", \".html\", \".htm\", \".md\", \".rtf\", \".odt\", \".pptx\", \".ppt\"]\n\n    def validate_file_format(self, filename: str) -> bool:\n        \"\"\"\n        Validate if file format is supported.\n\n        Args:\n            filename: Filename\n\n        Returns:\n            Whether the format is supported\n        \"\"\"\n        if not filename:\n            return False\n\n        _, ext = os.path.splitext(filename.lower())\n        return ext in self.get_supported_formats()\n\n    def get_file_info(self, file_path: str) -> Dict:\n        \"\"\"\n        Get basic information about the file.\n\n        Args:\n            file_path: File path\n\n        Returns:\n            File information dictionary\n        \"\"\"\n        if not os.path.exists(file_path):\n            raise FileNotFoundError(f\"File does not exist: {file_path}\")\n\n        stat = os.stat(file_path)\n        filename = os.path.basename(file_path)\n        _, ext = os.path.splitext(filename)\n\n        return {\n            \"filename\": filename,\n            \"extension\": ext.lower(),\n            \"size_bytes\": stat.st_size,\n            \"is_supported\": self.validate_file_format(filename),\n            \"created_time\": stat.st_ctime,\n            \"modified_time\": stat.st_mtime,\n        }\n"
  },
  {
    "path": "sdk/nexent/datamate/__init__.py",
    "content": "\"\"\"\nDataMate SDK client for interacting with DataMate knowledge base APIs.\n\"\"\"\nfrom .datamate_client import DataMateClient\n\n__all__ = [\"DataMateClient\"]\n\n"
  },
  {
    "path": "sdk/nexent/datamate/datamate_client.py",
    "content": "\"\"\"\nDataMate API client for datamate knowledge base operations.\n\nThis SDK provides a unified interface for interacting with DataMate knowledge base APIs,\nincluding listing knowledge bases, retrieving files, and retrieving content.\n\"\"\"\nimport logging\nfrom typing import Dict, List, Optional, Any\nimport httpx\n\nfrom ..utils.http_client_manager import http_client_manager\n\nlogger = logging.getLogger(\"datamate_client\")\n\n\nclass DataMateClient:\n    \"\"\"\n    Client for interacting with DataMate knowledge base APIs.\n\n    This client encapsulates all DataMate API calls and provides a clean interface\n    for datamate knowledge base operations.\n\n    Uses shared HttpClientManager for connection pooling to avoid socket exhaustion\n    and port conflicts on Windows systems.\n    \"\"\"\n\n    def __init__(self, base_url: str, timeout: float = 5.0, verify_ssl: bool = True):\n        \"\"\"\n        Initialize DataMate client.\n\n        Args:\n            base_url: Base URL of DataMate server (e.g., \"http://jasonwang.site:30000\")\n            timeout: Request timeout in seconds (default: 5.0)\n            verify_ssl: Whether to verify SSL certificates (default: True)\n        \"\"\"\n        self.base_url = base_url.rstrip(\"/\")\n        self.timeout = timeout\n        self.verify_ssl = verify_ssl\n        # Cache HTTP client for reuse (uses shared HttpClientManager internally)\n        # This avoids socket exhaustion and port conflicts on Windows\n        self._http_client = http_client_manager.get_sync_client(\n            base_url=self.base_url,\n            timeout=self.timeout,\n            verify_ssl=self.verify_ssl\n        )\n        logger.info(\n            f\"Initialized DataMateClient with base_url: {self.base_url}, verify_ssl: {self.verify_ssl}\")\n\n    def _build_url(self, path: str) -> str:\n        \"\"\"Build full URL from path.\"\"\"\n        if path.startswith(\"/\"):\n            return f\"{self.base_url}{path}\"\n        return f\"{self.base_url}/{path}\"\n\n    def _build_headers(self, authorization: Optional[str] = None) -> Dict[str, str]:\n        \"\"\"\n        Build request headers with optional authorization.\n\n        Args:\n            authorization: Optional authorization header value\n\n        Returns:\n            Dictionary of headers\n        \"\"\"\n        headers = {}\n        if authorization:\n            headers[\"Authorization\"] = authorization\n        return headers\n\n    def _handle_error_response(self, response: httpx.Response, error_message: str) -> None:\n        \"\"\"\n        Handle error response and raise appropriate exception.\n\n        Args:\n            response: HTTP response object\n            error_message: Base error message to include in exception (e.g., \"Failed to get knowledge base list\")\n\n        Raises:\n            Exception: With detailed error message\n        \"\"\"\n        error_detail = (\n            response.json().get(\"detail\", \"unknown error\")\n            if response.headers.get(\"content-type\", \"\").startswith(\"application/json\")\n            else response.text\n        )\n        raise Exception(\n            f\"{error_message} (status {response.status_code}): {error_detail}\")\n\n    def _make_request(\n        self,\n        method: str,\n        url: str,\n        headers: Dict[str, str],\n        json: Optional[Dict[str, Any]] = None,\n        timeout: Optional[float] = None,\n        error_message: str = \"Request failed\"\n    ) -> httpx.Response:\n        \"\"\"\n        Make HTTP request with error handling.\n\n        Uses the cached HTTP client for requests.\n\n        Args:\n            method: HTTP method (\"GET\" or \"POST\")\n            url: Request URL\n            headers: Request headers\n            json: Optional JSON payload for POST requests\n            timeout: Optional timeout override (passed to request, not client creation)\n            error_message: Error message to use if request fails\n\n        Returns:\n            HTTP response object\n\n        Raises:\n            Exception: If the request fails (with detailed error message)\n        \"\"\"\n        request_timeout = timeout if timeout is not None else self.timeout\n\n        # Use cached HTTP client for requests\n        # Note: timeout passed to request method overrides client's default\n        if method.upper() == \"GET\":\n            response = self._http_client.get(\n                url, headers=headers, timeout=request_timeout)\n        elif method.upper() == \"POST\":\n            response = self._http_client.post(\n                url, json=json, headers=headers, timeout=request_timeout)\n        else:\n            raise ValueError(f\"Unsupported HTTP method: {method}\")\n\n        if response.status_code != 200:\n            self._handle_error_response(response, error_message)\n\n        return response\n\n    def list_knowledge_bases(\n        self,\n        page: int = 0,\n        size: int = 20,\n        authorization: Optional[str] = None\n    ) -> List[Dict[str, Any]]:\n        \"\"\"\n        Get list of knowledge bases from DataMate.\n\n        Args:\n            page: Page index (default: 0)\n            size: Page size (default: 20)\n            authorization: Optional authorization header\n\n        Returns:\n            List of knowledge base dictionaries with their IDs and metadata.\n\n        Raises:\n            RuntimeError: If the API request fails\n        \"\"\"\n        try:\n            url = self._build_url(\"/api/knowledge-base/list\")\n            payload = {\"page\": page, \"size\": size}\n            headers = self._build_headers(authorization)\n\n            logger.info(\n                f\"Fetching DataMate knowledge bases from: {url}, page={page}, size={size}\")\n\n            response = self._make_request(\n                \"POST\", url, headers, json=payload, error_message=\"Failed to get knowledge base list\")\n            data = response.json()\n\n            # Extract knowledge base list from response\n            knowledge_bases = []\n            if data.get(\"data\"):\n                knowledge_bases = data.get(\"data\").get(\"content\", [])\n\n            logger.info(\n                f\"Successfully fetched {len(knowledge_bases)} knowledge bases from DataMate\")\n            return knowledge_bases\n\n        except httpx.HTTPError as e:\n            logger.error(\n                f\"HTTP error while fetching DataMate knowledge bases: {str(e)}\")\n            raise RuntimeError(\n                f\"Failed to fetch DataMate knowledge bases: {str(e)}\")\n        except Exception as e:\n            logger.error(\n                f\"Unexpected error while fetching DataMate knowledge bases: {str(e)}\")\n            raise RuntimeError(\n                f\"Failed to fetch DataMate knowledge bases: {str(e)}\")\n\n    def get_knowledge_base_files(\n        self,\n        knowledge_base_id: str,\n        authorization: Optional[str] = None\n    ) -> List[Dict[str, Any]]:\n        \"\"\"\n        Get file list for a specific DataMate knowledge base.\n\n        Args:\n            knowledge_base_id: The ID of the knowledge base\n            authorization: Optional authorization header\n\n        Returns:\n            List of file dictionaries with name, status, size, upload_date, etc.\n\n        Raises:\n            RuntimeError: If the API request fails\n        \"\"\"\n        try:\n            url = self._build_url(\n                f\"/api/knowledge-base/{knowledge_base_id}/files\")\n            logger.info(\n                f\"Fetching files for DataMate knowledge base {knowledge_base_id} from: {url}\")\n\n            headers = self._build_headers(authorization)\n            response = self._make_request(\n                \"GET\", url, headers, error_message=\"Failed to get knowledge base files\")\n            data = response.json()\n\n            # Extract file list from response\n            files = []\n            if data.get(\"data\"):\n                files = data.get(\"data\").get(\"content\", [])\n\n            logger.info(\n                f\"Successfully fetched {len(files)} files for datamate knowledge base {knowledge_base_id}\")\n            return files\n\n        except httpx.HTTPError as e:\n            logger.error(\n                f\"HTTP error while fetching files for datamate knowledge base {knowledge_base_id}: {str(e)}\")\n            raise RuntimeError(\n                f\"Failed to fetch files for datamate knowledge base {knowledge_base_id}: {str(e)}\")\n        except Exception as e:\n            logger.error(\n                f\"Unexpected error while fetching files for datamate knowledge base {knowledge_base_id}: {str(e)}\")\n            raise RuntimeError(\n                f\"Failed to fetch files for datamate knowledge base {knowledge_base_id}: {str(e)}\")\n\n    def get_knowledge_base_info(\n        self,\n        knowledge_base_id: str,\n        authorization: Optional[str] = None\n    ) -> Dict[str, Any]:\n        \"\"\"\n        Get details for a specific DataMate knowledge base.\n\n        Args:\n            knowledge_base_id: The ID of the knowledge base\n            authorization: Optional authorization header\n\n        Returns:\n            Dictionary containing knowledge base details.\n\n        Raises:\n            RuntimeError: If the API request fails\n        \"\"\"\n        try:\n            url = self._build_url(f\"/api/knowledge-base/{knowledge_base_id}\")\n            logger.info(\n                f\"Fetching details for DataMate knowledge base {knowledge_base_id} from: {url}\")\n\n            headers = self._build_headers(authorization)\n            response = self._make_request(\n                \"GET\", url, headers, error_message=\"Failed to get knowledge base details\")\n            data = response.json()\n\n            # Extract knowledge base details from response\n            knowledge_base = data.get(\"data\", {})\n\n            logger.info(\n                f\"Successfully fetched details for datamate knowledge base {knowledge_base_id}\")\n            return knowledge_base\n\n        except httpx.HTTPError as e:\n            logger.error(\n                f\"HTTP error while fetching details for datamate knowledge base {knowledge_base_id}: {str(e)}\")\n            raise RuntimeError(\n                f\"Failed to fetch details for datamate knowledge base {knowledge_base_id}: {str(e)}\")\n        except Exception as e:\n            logger.error(\n                f\"Unexpected error while fetching details for datamate knowledge base {knowledge_base_id}: {str(e)}\")\n            raise RuntimeError(\n                f\"Failed to fetch details for datamate knowledge base {knowledge_base_id}: {str(e)}\")\n\n    def retrieve_knowledge_base(\n        self,\n        query: str,\n        knowledge_base_ids: List[str],\n        top_k: int = 10,\n        threshold: float = 0.2,\n        authorization: Optional[str] = None\n    ) -> List[Dict[str, Any]]:\n        \"\"\"\n        Retrieve content in DataMate knowledge bases.\n\n        Args:\n            query: Retrieve query text\n            knowledge_base_ids: List of knowledge base IDs to retrieve\n            top_k: Maximum number of results to return (default: 10)\n            threshold: Similarity threshold (default: 0.2)\n            authorization: Optional authorization header\n\n        Returns:\n            List of retrieve result dictionaries\n\n        Raises:\n            RuntimeError: If the API request fails\n        \"\"\"\n        try:\n            url = self._build_url(\"/api/knowledge-base/retrieve\")\n            payload = {\n                \"query\": query,\n                \"topK\": top_k,\n                \"threshold\": threshold,\n                \"knowledgeBaseIds\": knowledge_base_ids,\n            }\n\n            headers = self._build_headers(authorization)\n\n            logger.info(\n                f\"Retrieving DataMate knowledge bases: query='{query}', \"\n                f\"knowledge_base_ids={knowledge_base_ids}, top_k={top_k}, threshold={threshold}\"\n            )\n\n            # Longer timeout for retrieve operation\n            response = self._make_request(\n                \"POST\", url, headers, json=payload, timeout=self.timeout * 2,\n                error_message=\"Failed to retrieve knowledge base content\"\n            )\n\n            search_results = []\n            data = response.json()\n            # Extract search results from response\n            for result in data.get(\"data\", {}):\n                search_results.append(result)\n\n            logger.info(\n                f\"Successfully retrieved {len(search_results)} retrieve result(s)\")\n            return search_results\n\n        except httpx.HTTPError as e:\n            logger.error(\n                f\"HTTP error while retrieving DataMate knowledge bases: {str(e)}\")\n            raise RuntimeError(\n                f\"Failed to retrieve DataMate knowledge bases: {str(e)}\")\n        except Exception as e:\n            logger.error(\n                f\"Unexpected error while retrieving DataMate knowledge bases: {str(e)}\")\n            raise RuntimeError(\n                f\"Failed to retrieve DataMate knowledge bases: {str(e)}\")\n\n    def build_file_download_url(self, dataset_id: str, file_id: str) -> str:\n        \"\"\"\n        Build download URL for a DataMate file.\n\n        Args:\n            dataset_id: Dataset ID\n            file_id: File ID\n\n        Returns:\n            Full download URL for the file\n        \"\"\"\n        if not (dataset_id and file_id):\n            return \"\"\n        return f\"{self.base_url}/api/data-management/datasets/{dataset_id}/files/{file_id}/download\"\n\n    def sync_all_knowledge_bases(\n        self,\n        authorization: Optional[str] = None\n    ) -> Dict[str, Any]:\n        \"\"\"\n        Sync all DataMate knowledge bases and their files.\n\n        Args:\n            authorization: Optional authorization header\n\n        Returns:\n            Dictionary containing knowledge bases with their file lists.\n            Format: {\n                \"success\": bool,\n                \"knowledge_bases\": [\n                    {\n                        \"knowledge_base\": {...},\n                        \"files\": [...],\n                        \"error\": str (optional)\n                    }\n                ],\n                \"total_count\": int\n            }\n        \"\"\"\n        try:\n            # Fetch all knowledge bases\n            knowledge_bases = self.list_knowledge_bases(\n                authorization=authorization)\n\n            # Fetch files for each knowledge base\n            result = []\n            for kb in knowledge_bases:\n                kb_id = kb.get(\"id\")\n\n                try:\n                    files = self.get_knowledge_base_files(\n                        str(kb_id), authorization=authorization)\n                    result.append({\n                        \"knowledge_base\": kb,\n                        \"files\": files,\n                    })\n                except Exception as e:\n                    logger.error(\n                        f\"Failed to fetch files for datamate knowledge base {kb_id}: {str(e)}\")\n                    # Continue with other knowledge bases even if one fails\n                    result.append({\n                        \"knowledge_base\": kb,\n                        \"files\": [],\n                        \"error\": str(e),\n                    })\n\n            return {\n                \"success\": True,\n                \"knowledge_bases\": result,\n                \"total_count\": len(result),\n            }\n\n        except Exception as e:\n            logger.error(f\"Error syncing DataMate knowledge bases: {str(e)}\")\n            return {\n                \"success\": False,\n                \"error\": str(e),\n                \"knowledge_bases\": [],\n                \"total_count\": 0,\n            }\n"
  },
  {
    "path": "sdk/nexent/memory/__init__.py",
    "content": ""
  },
  {
    "path": "sdk/nexent/memory/embedder_adaptor.py",
    "content": "from typing import Literal, Optional, Union\nfrom mem0.embeddings.base import EmbeddingBase\nfrom nexent.core.models.embedding_model import OpenAICompatibleEmbedding\nfrom mem0.configs.embeddings.base import BaseEmbedderConfig\n\n\nclass EmbedderAdaptor(EmbeddingBase):\n    \"\"\"\n    EmbedderAdaptor is a class that adapts the OpenAICompatibleEmbedding to Mem0 embedders.\n    \"\"\"\n\n    def __init__(self, config: Optional[Union[BaseEmbedderConfig, dict]] = None):\n        if isinstance(config, dict):\n            config = BaseEmbedderConfig(**config)\n\n        super().__init__(config)\n\n        self._embedder = OpenAICompatibleEmbedding(\n            model_name=self.config.model,\n            base_url=self.config.openai_base_url,\n            api_key=self.config.api_key,\n            embedding_dim=self.config.embedding_dims,\n            ssl_verify=getattr(self.config, \"ssl_verify\", True),\n        )\n\n    def embed(\n        self,\n        text: str | list[str],\n        memory_action: Optional[Literal[\"add\", \"search\", \"update\"]] = None,\n    ) -> list[float] | list[list[float]]:\n        \"\"\"生成文本或批量文本的向量表示。\n\n        Parameters\n        ----------\n        text : str | List[str]\n            待向量化的文本；当传入批量文本 List[str] 时，将返回同样长度的向量列表。\n        memory_action : Literal[\"add\", \"search\", \"update\"], optional\n            仅为兼容 mem0 接口，当前实现不会区分不同动作。\n\n        Returns\n        -------\n        List[float] | List[List[float]]\n            单文本时返回一个向量，批量文本时返回向量列表。\n        \"\"\"\n        if isinstance(text, str):\n            # follow mem0 logic\n            cleaned_text = text.replace(\"\\n\", \" \")\n            vectors = self._embedder.get_embeddings(cleaned_text)\n            return vectors[0]\n        elif isinstance(text, list):\n            # follow mem0 logic\n            cleaned_batch = [t.replace(\"\\n\", \" \") for t in text]\n            vectors = self._embedder.get_embeddings(cleaned_batch)\n            return vectors\n\n"
  },
  {
    "path": "sdk/nexent/memory/memory_core.py",
    "content": "\"\"\"SDK-level wrapper around mem0 Memory that keeps an in-process cache.\n\nThis module **must not** depend on any backend packages – therefore callers are\nresponsible for assembling a fully-validated configuration dictionary that is\naccepted by *mem0* and handing it in via :pyfunc:`get_memory_instance`.\n\nThe implementation maintains an in-process dictionary keyed by a deterministic\nhash of the configuration to guarantee that only one ``Memory`` object is\ncreated per unique configuration **per process** – this is both thread-safe and\nfriendly to multi-process deployments such as Gunicorn or Uvicorn workers.\n\"\"\"\n\nfrom __future__ import annotations\n\nimport asyncio\nimport hashlib\nimport json\nimport logging\nfrom typing import Any, Dict\n\nfrom mem0.memory.main import AsyncMemory\n\nfrom .embedder_adaptor import EmbedderAdaptor\n\n\nlogger = logging.getLogger(\"memory_core\")\n\n# In-process cache – {config_hash: Memory}\n_MEMORY_CACHE: dict[str, AsyncMemory] = {}\n# One asyncio.Lock per event loop to avoid cross-loop errors\n_CACHE_LOCKS: dict[int, asyncio.Lock] = {}\n\n\ndef _get_cache_lock() -> asyncio.Lock:\n    \"\"\"Return an event-loop-local ``asyncio.Lock``.\n\n    Creating locks per-loop prevents the *\"is bound to a different event loop\"*\n    runtime error when this module is used from multiple independent loops\n    (for example, when calling :pyfunc:`asyncio.run` in different threads or\n    within FastAPI workers).\n    \"\"\"\n    loop = asyncio.get_event_loop()\n    loop_id = id(loop)\n    lock = _CACHE_LOCKS.get(loop_id)\n    if lock is None:\n        lock = asyncio.Lock()\n        _CACHE_LOCKS[loop_id] = lock\n    return lock\n\n\ndef _hash_config(config: Dict[str, Any]) -> str:\n    \"\"\"Return a stable SHA-256 hash for *config*.\"\"\"\n    # json.dumps with *sort_keys* ensures deterministic ordering\n    cfg_bytes = json.dumps(config, sort_keys=True, separators=(\",\", \":\")).encode()\n    return hashlib.sha256(cfg_bytes).hexdigest()\n\n\ndef _validate_config(config: Dict[str, Any]) -> None:\n    \"\"\"Perform strict validation – raise ``ValueError`` on any missing key.\n\n    The function purposefully *does not* fill in defaults; callers must pass a\n    complete configuration so that the behaviour is explicit and predictable.\n    \"\"\"\n    try:\n        # LLM section\n        llm_cfg = config[\"llm\"]\n        _ = llm_cfg[\"provider\"]\n        llm_cfg_inner = llm_cfg[\"config\"]\n        _ = llm_cfg_inner[\"model\"]\n        _ = llm_cfg_inner[\"api_key\"]\n        _ = llm_cfg_inner[\"openai_base_url\"]\n\n        # Embedder section\n        emb_cfg = config[\"embedder\"]\n        _ = emb_cfg[\"provider\"]\n        emb_cfg_inner = emb_cfg[\"config\"]\n        _ = emb_cfg_inner[\"model\"]\n        _ = emb_cfg_inner[\"openai_base_url\"]\n        _ = emb_cfg_inner[\"embedding_dims\"]\n        _ = emb_cfg_inner[\"api_key\"]\n\n        # Vector-store section\n        vs_cfg = config[\"vector_store\"][\"config\"]\n        _ = vs_cfg[\"collection_name\"]\n        _ = vs_cfg[\"host\"]\n        _ = vs_cfg[\"port\"]\n        _ = vs_cfg[\"embedding_model_dims\"]\n        _ = vs_cfg[\"api_key\"]\n    except KeyError as exc:\n        raise ValueError(f\"Missing required config key: {'.'.join(str(s) for s in exc.args)}\") from None\n\n\nasync def get_memory_instance(memory_config: Dict[str, Any]) -> AsyncMemory:\n    \"\"\"Return (and cache) a *mem0* ``Memory`` instance for *memory_config*.\n\n    Parameters\n    ----------\n    memory_config\n        A fully-populated configuration dictionary compatible with\n        ``mem0.Memory.from_config``.\n    \"\"\"\n    # Validate *before* computing hash so we fail fast with human-readable error\n    _validate_config(memory_config)\n\n    cache_key = _hash_config(memory_config)\n\n    async with _get_cache_lock():\n        if cache_key in _MEMORY_CACHE:\n            logger.debug(\"Memory cache hit.\")\n            return _MEMORY_CACHE[cache_key]\n\n        logger.debug(\"Creating new Memory instance...\")\n        logger.debug(\"Using config:\\n%s\", json.dumps(memory_config, indent=2))\n        memory_obj = await AsyncMemory.from_config(memory_config)\n\n        try:\n            memory_obj.embedding_model = EmbedderAdaptor(memory_config[\"embedder\"][\"config\"])\n            logger.debug(\"EmbedderAdaptor successfully attached to Memory instance\")\n        except Exception as exc:\n            logger.warning(\"Failed to attach EmbedderAdaptor: %s\", exc)\n\n        _MEMORY_CACHE[cache_key] = memory_obj\n        return memory_obj\n"
  },
  {
    "path": "sdk/nexent/memory/memory_service.py",
    "content": "\"\"\"High-level Memory CRUD helpers for both backend apps and external callers.\n\nAll operations eventually delegate to :pyfunc:`nexent.memory.memory_core.get_memory_instance`,\nthus avoiding any HTTP round-trips.  The module purposely contains no FastAPI\nor networking code so that it can be used in any context (sync workers, async\nhandlers, CLI scripts, etc.).\n\"\"\"\n\nfrom __future__ import annotations\n\nimport asyncio\nimport logging\nfrom typing import Any, Dict, List, Optional\n\nfrom .memory_core import get_memory_instance\nfrom .memory_utils import build_memory_identifiers\n\n\nlogger = logging.getLogger(\"memory_service\")\n\n# ---------------------------------------------------------------------------\n# Internal helpers\n# ---------------------------------------------------------------------------\n\ndef _filter_by_memory_level(memory_level: str, raw_results: List[Dict[str, Any]]) -> List[Dict[str, Any]]:\n    \"\"\"\n    Filter search or list results by memory_level\n\n    args:\n        memory_level: \"tenant\" | \"user\" | \"agent\" | \"user_agent\"\n        raw_results:   The list of results to filter\n\n    return:\n        The filtered list of results\n    \"\"\"\n    if memory_level in {\"tenant\", \"user\"}:\n        return [r for r in raw_results if not r.get(\"agent_id\")]\n    elif memory_level in {\"agent\", \"user_agent\"}:\n        return [r for r in raw_results if r.get(\"agent_id\")]\n    else:\n        raise ValueError(\"Unsupported memory level: \" + memory_level)\n\n# ---------------------------------------------------------------------------\n# Public CRUD helpers\n# ---------------------------------------------------------------------------\n\n\nasync def add_memory(\n    messages: List[Dict[str, Any]] | str,\n    memory_level: str,\n    memory_config: Dict[str, Any],\n    tenant_id: str,\n    user_id: str,\n    agent_id: Optional[str] = None,\n    infer: bool = True\n) -> Any:\n    \"\"\"Add memory *messages* for the given *memory_level*.\n\n    Parameters match those of the original FastAPI endpoint.\n    \"\"\"\n    mem_user_id = build_memory_identifiers(memory_level=memory_level, user_id=user_id, tenant_id=tenant_id)\n    memory = await get_memory_instance(memory_config)\n\n    if memory_level in {\"tenant\", \"user\"}:\n        return await memory.add(messages, user_id=mem_user_id, infer=infer)\n    elif memory_level in {\"agent\", \"user_agent\"}:\n        return await memory.add(messages, agent_id=agent_id, user_id=mem_user_id, infer=infer)\n    else:\n        raise ValueError(\"Unsupported memory level: \" + memory_level)\n\n\nasync def add_memory_in_levels(\n    messages: List[Dict[str, Any]] | str,\n    memory_config: Dict[str, Any],\n    tenant_id: str,\n    user_id: str,\n    agent_id: str,\n    memory_levels: List[str] = [\"agent\", \"user_agent\"],\n):\n    \"\"\"\n    Add memory across the specified levels concurrently, then merge results.\n\n    Args:\n        ...\n        memory_levels: List[str: \"tenant\"|\"agent\"|\"user\"|\"user_agent\"]\n\n    Returns:\n        {\"results\": [\n            {\"id\": \"...\", \"memory\": \"...\", \"event\": \"ADD\"|\"DELETE\"|\"UPDATE\"|\"NONE\"},\n            ...\n        ]}\n    \"\"\"\n    event_priority = {\"DELETE\": 3, \"ADD\": 2, \"UPDATE\": 1, \"NONE\": 0}\n    result_list: List[Dict[str, Any]] = []\n    # Mapping from memory id to its index in result_list\n    id2idx: Dict[str, int] = {}\n\n    async def _add_level(level: str) -> List[Dict[str, Any]]:\n        try:\n            if level not in {\"tenant\", \"user\", \"agent\", \"user_agent\"}:\n                raise ValueError(\"Unsupported memory level: \" + level)\n            res = await add_memory(\n                messages=messages,\n                memory_level=level,\n                memory_config=memory_config,\n                tenant_id=tenant_id,\n                user_id=user_id,\n                agent_id=agent_id,\n                infer=True,\n            )\n            items = res.get(\"results\", [])\n            logger.debug(f\"Memory add results for level '{level}': {items}\")\n            return items\n        except Exception as e:\n            logger.error(f\"Error adding memory in level '{level}': {e}\")\n            return []\n\n    tasks = [asyncio.create_task(_add_level(level)) for level in memory_levels]\n    all_level_results = await asyncio.gather(*tasks)\n\n    for results in all_level_results:\n        for item in results:\n            item_id = item.get(\"id\")\n            existing_idx = id2idx.get(item_id)\n            if existing_idx is None:\n                result_list.append(item)\n                id2idx[item_id] = len(result_list) - 1\n            else:\n                existing_event = result_list[existing_idx].get(\"event\")\n                new_event = item.get(\"event\")\n                if event_priority.get(new_event, 0) > event_priority.get(existing_event, 0):\n                    result_list[existing_idx] = item\n\n    return {\"results\": result_list}\n\n\nasync def search_memory(\n    query_text: str,\n    memory_level: str,\n    memory_config: Dict[str, Any],\n    tenant_id: str,\n    user_id: str,\n    agent_id: Optional[str] = None,\n    top_k: int = 5,\n    threshold: Optional[float] = 0.65,\n) -> Any:\n    \"\"\"Search memory and return *mem0* search results list.\"\"\"\n    mem_user_id = build_memory_identifiers(memory_level=memory_level, user_id=user_id, tenant_id=tenant_id)\n    memory = await get_memory_instance(memory_config)\n    if memory_level in {\"tenant\", \"user\"}:\n        search_res = await memory.search(\n            query=query_text,\n            limit=top_k,\n            threshold=threshold,\n            user_id=mem_user_id,\n        )\n    elif memory_level in {\"agent\", \"user_agent\"}:\n        search_res = await memory.search(\n            query=query_text,\n            limit=top_k,\n            threshold=threshold,\n            user_id=mem_user_id,\n            agent_id=agent_id,\n        )\n    else:\n        raise ValueError(\"Unsupported memory level: \" + memory_level)\n\n    raw_results = search_res.get(\"results\", [])\n    if asyncio.iscoroutine(raw_results):\n        raw_results = await raw_results\n    return {\"results\": _filter_by_memory_level(memory_level, raw_results)}\n\n\nasync def search_memory_in_levels(\n    query_text: str,\n    memory_config: Dict[str, Any],\n    tenant_id: str,\n    user_id: str,\n    agent_id: str,\n    top_k: int = 5,\n    threshold: Optional[float] = 0.65,\n    memory_levels: List[str] = [\"tenant\", \"user\", \"agent\", \"user_agent\"],\n):\n    \"\"\"\n    Search memory according to user's preference for all four levels.\n    Args:\n        ...\n        memory_levels: List[str: \"tenant\"|\"agent\"|\"user\"|\"user_agent\"]\n    Returns:\n        {\"results\": [\n            {'id': '...', 'memory': '...', 'score': '...', 'memory_level': '...'},\n            ...\n        ]}\n    \"\"\"\n    result_list = []\n\n    logger.info(f\"Searching memory in levels: {memory_levels}\")\n\n    async def _search_level(level: str):\n        try:\n            res = await search_memory(\n                query_text,\n                level,\n                memory_config,\n                tenant_id,\n                user_id,\n                agent_id,\n                top_k,\n                threshold,\n            )\n            raw = res.get(\"results\", [])\n            return [{**item, \"memory_level\": level} for item in raw]\n        except Exception as e:\n            logger.error(f\"search_memory failed on level '{level}': {e}\")\n            return []\n\n    # Run searches concurrently and preserve order of memory_levels\n    tasks = [asyncio.create_task(_search_level(level)) for level in memory_levels]\n    all_level_results = await asyncio.gather(*tasks)\n\n    for level_results in all_level_results:\n        result_list.extend(level_results)\n\n    return {\"results\": result_list}\n\n\nasync def list_memory(\n    memory_level: str,\n    memory_config: Dict[str, Any],\n    tenant_id: str,\n    user_id: str,\n    agent_id: Optional[str] = None,\n) -> Dict[str, Any]:\n    \"\"\"Return a list of memories for the specified *memory_level* and *agent_id*.\"\"\"\n    mem_user_id = build_memory_identifiers(memory_level=memory_level, user_id=user_id, tenant_id=tenant_id)\n    memory = await get_memory_instance(memory_config)\n\n    search_res = await memory.get_all(user_id=mem_user_id, agent_id=agent_id)\n    raw_results = search_res.get(\"results\", [])\n    if asyncio.iscoroutine(raw_results):\n        raw_results = await raw_results\n\n    all_results_list = _filter_by_memory_level(memory_level, raw_results)\n\n    return {\"items\": all_results_list, \"total\": len(all_results_list)}\n\n\nasync def delete_memory(memory_id: str, memory_config: Dict[str, Any]) -> Any:\n    \"\"\"Delete a single memory by *memory_id*.\"\"\"\n    memory = await get_memory_instance(memory_config)\n    if hasattr(memory, \"delete\"):\n        return await memory.delete(memory_id=memory_id)\n    raise AttributeError(\"Memory implementation does not support delete()\")\n\n\nasync def clear_memory(\n    memory_level: str,\n    memory_config: Dict[str, Any],\n    tenant_id: str,\n    user_id: str,\n    agent_id: Optional[str] = None,\n) -> Dict[str, int]:\n    \"\"\"Clear all memories for the specified *memory_level* and *agent_id*.\"\"\"\n    mem_user_id = build_memory_identifiers(memory_level=memory_level, user_id=user_id, tenant_id=tenant_id)\n    memory = await get_memory_instance(memory_config)\n    search_res = await memory.get_all(user_id=mem_user_id, agent_id=agent_id)\n    raw_results = search_res.get(\"results\", [])\n    if asyncio.iscoroutine(raw_results):\n        raw_results = await raw_results\n\n    all_memories = _filter_by_memory_level(memory_level, raw_results)\n\n    deleted_count = 0\n    for mem in all_memories:\n        try:\n            await memory.delete(memory_id=mem.get(\"id\"))\n            deleted_count += 1\n        except Exception as exc:\n            logger.warning(\"Failed to delete memory %s: %s\", mem.get(\"id\"), exc)\n\n    return {\"deleted_count\": deleted_count, \"total_count\": len(all_memories)}\n\n\nasync def reset_all_memory(memory_config: Dict[str, Any]) -> bool:\n    \"\"\" Reset all memory in the memory store. \"\"\"\n    try:\n        memory = await get_memory_instance(memory_config)\n        await memory.reset()\n        return True\n    except Exception as e:\n        logger.error(f\"Failed to reset all memory: {e}\")\n        return False\n\n\nasync def clear_model_memories(\n    vdb_core: Any,\n    model_repo: str,\n    model_name: str,\n    embedding_dims: int,\n    base_memory_config: Dict[str, Any],\n) -> bool:\n    \"\"\"Clear all memories and drop ES index for a specific embedding model configuration.\n\n    This helper follows the index naming and configuration logic used by the backend's\n    memory utilities, while remaining SDK-only and transport-agnostic.\n\n    Args:\n        vdb_core: An initialized Elasticsearch core instance (must expose ``client.indices`` and ``delete_index``).\n        model_repo: Optional repository/namespace of the embedding model (e.g., \"jina-ai\"). Empty if none.\n        model_name: The embedding model name (e.g., \"jina-embeddings-v2-base-en\").\n        embedding_dims: The embedding vector dimension for this model configuration.\n        base_memory_config: A fully-validated memory config to use as a template. This function will not mutate it,\n            but will derive an adjusted config with the correct collection name and embedding dims for the operation.\n\n    Returns:\n        True if the cleanup completed (or nothing needed to be done). False on hard failures.\n    \"\"\"\n    try:\n        repo_part = (model_repo or \"\").strip().lower()\n        name_part = (model_name or \"\").strip().lower()\n        if not name_part:\n            raise ValueError(\"model_name is required to clear model memories\")\n\n        # Follow backend/utils/memory_utils.py naming: mem0_{repo}_{name}_{dims} or mem0_{name}_{dims}\n        if repo_part:\n            index_name = f\"mem0_{repo_part}_{name_part}_{embedding_dims}\"\n        else:\n            index_name = f\"mem0_{name_part}_{embedding_dims}\"\n\n        # 1) If index does not exist in ES, nothing to do\n        try:\n            es_exists = vdb_core.client.indices.exists(index=index_name)\n        except Exception:\n            # If existence check fails, proceed defensively to attempt cleanup via mem0 then ES delete\n            es_exists = True\n\n        if not es_exists:\n            return True\n\n        # 2) Build a config bound to this index and embedding dims without mutating the base config\n        #    Ensure required keys exist; get_memory_instance will validate again\n        memory_config: Dict[str, Any] = {\n            **base_memory_config,\n            \"embedder\": {\n                **base_memory_config.get(\"embedder\", {}),\n                \"provider\": base_memory_config.get(\"embedder\", {}).get(\"provider\", \"openai\"),\n                \"config\": {\n                    **base_memory_config.get(\"embedder\", {}).get(\"config\", {}),\n                    # Keep model/base_url/api_key from base, only adjust dims to match the index\n                    \"embedding_dims\": embedding_dims,\n                },\n            },\n            \"vector_store\": {\n                **base_memory_config.get(\"vector_store\", {}),\n                \"provider\": \"elasticsearch\",\n                \"config\": {\n                    **base_memory_config.get(\"vector_store\", {}).get(\"config\", {}),\n                    \"collection_name\": index_name,\n                    \"embedding_model_dims\": embedding_dims,\n                },\n            },\n        }\n\n        # 3) Reset all memory for this config via mem0\n        try:\n            logger.debug(f\"Start to clear all memories in {model_repo}\")\n            await reset_all_memory(memory_config)\n        except Exception:\n            # Keep going to ensure ES index is dropped even if mem0 reset had issues\n            pass\n\n        # 4) Drop ES index\n        try:\n            vdb_core.delete_index(index_name)\n        except Exception:\n            # Swallow delete errors and report as best-effort\n            pass\n\n        return True\n    except Exception as e:\n        logger.error(f\"clear_model_memories failed: {e}\")\n        return False\n"
  },
  {
    "path": "sdk/nexent/memory/memory_utils.py",
    "content": "from typing import Optional\n\n\ndef build_memory_identifiers(\n    memory_level: str,\n    user_id: Optional[str] = None,\n    tenant_id: Optional[str] = None\n) -> str:\n    \"\"\"Return user_id_to_pass for Memory operations based on level.\"\"\"\n    if memory_level == \"tenant\" or memory_level == \"agent\":\n        if not tenant_id:\n            raise ValueError(\"tenant_id is required for tenant level memory operations\")\n        memory_user_id = f\"tenant-{tenant_id}\"\n    elif memory_level == \"user\" or memory_level == \"user_agent\":\n        if not user_id:\n            raise ValueError(\"user_id is required for user level memory operations\")\n        memory_user_id = user_id\n    else:\n        raise ValueError(\"Unsupported memory level: \" + memory_level)\n\n    return memory_user_id\n\n"
  },
  {
    "path": "sdk/nexent/monitor/__init__.py",
    "content": "\"\"\"\nNexent Monitor Package - LLM Performance Monitoring System\n\nA comprehensive monitoring solution specifically designed for LLM applications.\nProvides distributed tracing, token-level performance monitoring, and seamless \nintegration with OpenTelemetry, Jaeger, Prometheus, and Grafana.\n\"\"\"\n\nfrom .monitoring import *\n\n__version__ = \"0.1.0\"\n\n"
  },
  {
    "path": "sdk/nexent/monitor/monitoring.py",
    "content": "\"\"\"\nNexent LLM Performance Monitoring System\n\nA comprehensive monitoring solution specifically designed for LLM applications.\nProvides distributed tracing, token-level performance monitoring, and seamless \nintegration with OpenTelemetry, Jaeger, Prometheus, and Grafana.\n\nThis module uses a singleton pattern for consistent monitoring across the SDK.\nWhen OpenTelemetry dependencies are not available, the module gracefully degrades\nand disables monitoring functionality without breaking the application.\n\nInstallation:\n- Basic: pip install nexent\n- With monitoring: pip install nexent[performance]\n\"\"\"\n\n# Optional OpenTelemetry imports - gracefully handle missing dependencies\ntry:\n    from opentelemetry.trace.status import Status, StatusCode\n    from opentelemetry.exporter.prometheus import PrometheusMetricReader\n    from opentelemetry.sdk.metrics import MeterProvider\n    from opentelemetry.sdk.trace.export import BatchSpanProcessor\n    from opentelemetry.sdk.trace import TracerProvider\n    from opentelemetry.instrumentation.requests import RequestsInstrumentor\n    from opentelemetry.instrumentation.fastapi import FastAPIInstrumentor\n    from opentelemetry.exporter.jaeger.thrift import JaegerExporter\n    from opentelemetry import trace, metrics\n    from opentelemetry.sdk.resources import Resource\n    OPENTELEMETRY_AVAILABLE = True\nexcept ImportError:\n    OPENTELEMETRY_AVAILABLE = False\nimport logging\nimport time\nimport functools\nfrom contextlib import contextmanager\nfrom typing import Any, Dict, Optional, Callable, TypeVar, cast, Iterator\nfrom dataclasses import dataclass\n\nlogger = logging.getLogger(__name__)\n\nF = TypeVar('F', bound=Callable[..., Any])\n\n\ndef is_opentelemetry_available() -> bool:\n    \"\"\"Check if OpenTelemetry dependencies are available.\"\"\"\n    return OPENTELEMETRY_AVAILABLE\n\n@dataclass\nclass MonitoringConfig:\n    \"\"\"Configuration for monitoring system.\"\"\"\n    enable_telemetry: bool = False\n    service_name: str = \"nexent-sdk\"\n    jaeger_endpoint: str = \"http://localhost:14268/api/traces\"\n    prometheus_port: int = 8000\n    telemetry_sample_rate: float = 1.0\n    llm_slow_request_threshold_seconds: float = 5.0\n    llm_slow_token_rate_threshold: float = 10.0\n    \n    def __post_init__(self):\n        \"\"\"Validate configuration and adjust based on OpenTelemetry availability.\"\"\"\n        if self.enable_telemetry and not OPENTELEMETRY_AVAILABLE:\n            logger.warning(\n                \"OpenTelemetry dependencies not available. Disabling telemetry. \"\n                \"Install with: pip install nexent[performance]\"\n            )\n            self.enable_telemetry = False\n\n\nclass MonitoringManager:\n    \"\"\"Singleton monitoring manager for the entire SDK.\"\"\"\n\n    _instance = None\n    _initialized = False\n\n    def __new__(cls):\n        if cls._instance is None:\n            cls._instance = super(MonitoringManager, cls).__new__(cls)\n        return cls._instance\n\n    def __init__(self):\n        if self._initialized:\n            return\n\n        self._config: Optional[MonitoringConfig] = None\n        self._tracer_provider: Optional[Any] = None\n        self._meter_provider: Optional[Any] = None\n        self._tracer: Optional[Any] = None\n        self._meter: Optional[Any] = None\n\n        # LLM-specific metrics\n        self._llm_request_duration: Optional[Any] = None\n        self._llm_token_generation_rate: Optional[Any] = None\n        self._llm_ttft_duration: Optional[Any] = None\n        self._llm_total_tokens: Optional[Any] = None\n        self._llm_error_count: Optional[Any] = None\n\n        self._initialized = True\n        logger.info(\"MonitoringManager singleton created\")\n\n    def configure(self, config: MonitoringConfig) -> None:\n        \"\"\"Configure the monitoring system.\"\"\"\n        self._config = config\n        logger.info(\n            f\"Monitoring configured: enabled={config.enable_telemetry}, service={config.service_name}\")\n\n        if config.enable_telemetry:\n            self._init_telemetry()\n\n    def _init_telemetry(self) -> None:\n        \"\"\"Initialize OpenTelemetry tracing and metrics.\"\"\"\n        if not self._config or not self._config.enable_telemetry:\n            logger.info(\"Telemetry is disabled by configuration\")\n            return\n\n        if not OPENTELEMETRY_AVAILABLE:\n            logger.warning(\n                \"OpenTelemetry dependencies not available. Telemetry initialization skipped. \"\n                \"Install with: pip install nexent[performance]\"\n            )\n            return\n\n        try:\n            # Setup tracing with proper service name resource\n            resource = Resource.create({\n                \"service.name\": self._config.service_name,\n                \"service.version\": \"1.0.0\",\n                \"service.instance.id\": \"nexent-instance-1\"\n            })\n            self._tracer_provider = TracerProvider(resource=resource)\n            trace.set_tracer_provider(self._tracer_provider)\n\n            # Jaeger exporter\n            jaeger_exporter = JaegerExporter(\n                agent_host_name=\"localhost\",\n                agent_port=14268,\n                collector_endpoint=self._config.jaeger_endpoint,\n            )\n\n            span_processor = BatchSpanProcessor(jaeger_exporter)\n            self._tracer_provider.add_span_processor(span_processor)\n\n            # Setup metrics with Prometheus exporter\n            prometheus_reader = PrometheusMetricReader()\n            self._meter_provider = MeterProvider(\n                resource=resource,\n                metric_readers=[prometheus_reader])\n            metrics.set_meter_provider(self._meter_provider)\n\n            # Get tracer and meter instances\n            self._tracer = trace.get_tracer(self._config.service_name)\n            self._meter = metrics.get_meter(self._config.service_name)\n\n            # Create LLM-specific metrics\n            self._llm_request_duration = self._meter.create_histogram(\n                name=\"llm_request_duration_seconds\",\n                description=\"Duration of LLM requests in seconds\",\n                unit=\"s\"\n            )\n\n            self._llm_token_generation_rate = self._meter.create_histogram(\n                name=\"llm_token_generation_rate\",\n                description=\"Token generation rate (tokens per second)\",\n                unit=\"tokens/s\"\n            )\n\n            self._llm_ttft_duration = self._meter.create_histogram(\n                name=\"llm_time_to_first_token_seconds\",\n                description=\"Time to first token (TTFT) in seconds\",\n                unit=\"s\"\n            )\n\n            self._llm_total_tokens = self._meter.create_counter(\n                name=\"llm_total_tokens\",\n                description=\"Total tokens processed\",\n                unit=\"tokens\"\n            )\n\n            self._llm_error_count = self._meter.create_counter(\n                name=\"llm_error_count\",\n                description=\"Number of LLM errors\",\n                unit=\"errors\"\n            )\n\n            # Auto-instrument other libraries\n            RequestsInstrumentor().instrument()\n\n            logger.info(\n                f\"Telemetry initialized successfully for service: {self._config.service_name}\")\n\n        except Exception as e:\n            logger.error(f\"Failed to initialize telemetry: {str(e)}\")\n\n    @property\n    def is_enabled(self) -> bool:\n        \"\"\"Check if monitoring is enabled.\"\"\"\n        return (self._config is not None and \n                self._config.enable_telemetry and \n                OPENTELEMETRY_AVAILABLE)\n\n    @property\n    def tracer(self):\n        \"\"\"Get the tracer instance.\"\"\"\n        return self._tracer\n\n    def setup_fastapi_app(self, app) -> bool:\n        \"\"\"Setup monitoring for a FastAPI application.\"\"\"\n        try:\n            if self.is_enabled and app and OPENTELEMETRY_AVAILABLE:\n                FastAPIInstrumentor.instrument_app(app)\n                logger.info(\n                    \"FastAPI application monitoring initialized successfully\")\n                return True\n            elif not OPENTELEMETRY_AVAILABLE:\n                logger.warning(\n                    \"OpenTelemetry not available. FastAPI monitoring skipped. \"\n                    \"Install with: pip install nexent[performance]\"\n                )\n            return False\n        except Exception as e:\n            logger.error(f\"Failed to initialize FastAPI monitoring: {e}\")\n            return False\n\n    @contextmanager\n    def trace_llm_request(self, operation_name: str, model_name: str, **attributes: Any) -> Iterator[Optional[Any]]:\n        \"\"\"Context manager for tracing LLM requests with comprehensive metrics.\"\"\"\n        if not self.is_enabled or not OPENTELEMETRY_AVAILABLE or not self._tracer:\n            yield None\n            return\n\n        with self._tracer.start_as_current_span(\n            operation_name,\n            attributes={\n                \"llm.model_name\": model_name,\n                \"llm.operation\": operation_name,\n                **attributes\n            }\n        ) as span:\n            start_time = time.time()\n            try:\n                yield span\n            except Exception as e:\n                span.set_status(Status(StatusCode.ERROR, str(e)))\n                if self._llm_error_count:\n                    self._llm_error_count.add(\n                        1, {\"model\": model_name, \"operation\": operation_name})\n                raise\n            finally:\n                duration = time.time() - start_time\n                if self._llm_request_duration:\n                    self._llm_request_duration.record(\n                        duration, {\"model\": model_name, \"operation\": operation_name})\n\n    def get_current_span(self) -> Optional[Any]:\n        \"\"\"Get the current active span.\"\"\"\n        if not self.is_enabled or not OPENTELEMETRY_AVAILABLE:\n            return None\n        return trace.get_current_span()\n\n    def add_span_event(self, name: str, attributes: Optional[Dict[str, Any]] = None) -> None:\n        \"\"\"Add an event to the current span.\"\"\"\n        if not self.is_enabled or not OPENTELEMETRY_AVAILABLE:\n            return\n\n        span = trace.get_current_span()\n        if span:\n            span.add_event(name, attributes or {})\n\n    def set_span_attributes(self, **attributes: Any) -> None:\n        \"\"\"Set attributes on the current span.\"\"\"\n        if not self.is_enabled or not OPENTELEMETRY_AVAILABLE:\n            return\n\n        span = trace.get_current_span()\n        if span:\n            span.set_attributes(attributes)\n\n    def create_token_tracker(self, model_name: str, span: Optional[Any] = None) -> 'LLMTokenTracker':\n        \"\"\"Create a token tracker for LLM calls.\"\"\"\n        return LLMTokenTracker(self, model_name, span)\n\n    def record_llm_metrics(self, metric_type: str, value: float, attributes: Dict[str, Any]) -> None:\n        \"\"\"Record LLM-specific metrics.\"\"\"\n        if not self.is_enabled or not OPENTELEMETRY_AVAILABLE:\n            return\n\n        if metric_type == \"ttft\" and self._llm_ttft_duration:\n            self._llm_ttft_duration.record(value, attributes)\n        elif metric_type == \"token_rate\" and self._llm_token_generation_rate:\n            self._llm_token_generation_rate.record(value, attributes)\n        elif metric_type == \"tokens\" and self._llm_total_tokens:\n            self._llm_total_tokens.add(value, attributes)\n\n    def monitor_endpoint(self, operation_name: Optional[str] = None, include_params: bool = True, exclude_params: Optional[list] = None) -> Callable[[F], F]:\n        \"\"\"\n        Decorator to add monitoring to any endpoint or service function.\n        Monitoring is automatically enabled/disabled based on configuration.\n        \"\"\"\n        def decorator(func: F) -> F:\n            op_name = operation_name or f\"{func.__module__}.{func.__name__}\"\n            exclude_set = set(exclude_params or [])\n\n            @functools.wraps(func)\n            async def async_wrapper(*args, **kwargs):\n                # Always execute monitoring logic - internal methods handle enabled state\n                with self.trace_llm_request(op_name, \"nexent-service\") as span:\n                    if span and include_params:\n                        safe_params = {\n                            k: v for k, v in kwargs.items()\n                            if k not in exclude_set and isinstance(v, (str, int, float, bool))\n                        }\n                        if safe_params:\n                            self.set_span_attributes(\n                                **{f\"param.{k}\": v for k, v in safe_params.items()})\n\n                    self.add_span_event(f\"{op_name}.started\")\n                    start_time = time.time()\n\n                    try:\n                        result = await func(*args, **kwargs)\n                        duration = time.time() - start_time\n                        self.add_span_event(\n                            f\"{op_name}.completed\", {\"duration\": duration})\n                        return result\n                    except Exception as e:\n                        duration = time.time() - start_time\n                        self.add_span_event(f\"{op_name}.error\", {\n                            \"error_type\": type(e).__name__,\n                            \"error_message\": str(e),\n                            \"duration\": duration\n                        })\n                        raise\n\n            @functools.wraps(func)\n            def sync_wrapper(*args, **kwargs):\n                # Always execute monitoring logic - internal methods handle enabled state\n                with self.trace_llm_request(op_name, \"nexent-service\") as span:\n                    if span and include_params:\n                        safe_params = {\n                            k: v for k, v in kwargs.items()\n                            if k not in exclude_set and isinstance(v, (str, int, float, bool))\n                        }\n                        if safe_params:\n                            self.set_span_attributes(\n                                **{f\"param.{k}\": v for k, v in safe_params.items()})\n\n                    self.add_span_event(f\"{op_name}.started\")\n                    start_time = time.time()\n\n                    try:\n                        result = func(*args, **kwargs)\n                        duration = time.time() - start_time\n                        self.add_span_event(\n                            f\"{op_name}.completed\", {\"duration\": duration})\n                        return result\n                    except Exception as e:\n                        duration = time.time() - start_time\n                        self.add_span_event(f\"{op_name}.error\", {\n                            \"error_type\": type(e).__name__,\n                            \"error_message\": str(e),\n                            \"duration\": duration\n                        })\n                        raise\n\n            # Return appropriate wrapper based on function type\n            if hasattr(func, '__code__') and func.__code__.co_flags & 0x80:\n                return cast(F, async_wrapper)\n            else:\n                return cast(F, sync_wrapper)\n\n        return decorator\n\n    def monitor_llm_call(self, model_name: str, operation: str = \"llm_completion\"):\n        \"\"\"\n        Specialized decorator for LLM calls with token tracking.\n        Monitoring is automatically enabled/disabled based on configuration.\n        \"\"\"\n        def decorator(func: F) -> F:\n            @functools.wraps(func)\n            async def async_wrapper(*args, **kwargs):\n                # Always execute monitoring logic - internal methods handle enabled state\n                with self.trace_llm_request(operation, model_name, **kwargs) as span:\n                    token_tracker = self.create_token_tracker(\n                        model_name, span) if span else None\n                    self.add_span_event(\"llm_call_started\")\n\n                    try:\n                        result = await func(*args, **kwargs, _token_tracker=token_tracker)\n                        self.add_span_event(\"llm_call_completed\")\n                        return result\n                    except Exception as e:\n                        self.add_span_event(\"llm_call_error\", {\n                            \"error_type\": type(e).__name__,\n                            \"error_message\": str(e)\n                        })\n                        raise\n\n            @functools.wraps(func)\n            def sync_wrapper(*args, **kwargs):\n                # Always execute monitoring logic - internal methods handle enabled state\n                with self.trace_llm_request(operation, model_name, **kwargs) as span:\n                    token_tracker = self.create_token_tracker(\n                        model_name, span) if span else None\n                    self.add_span_event(\"llm_call_started\")\n\n                    try:\n                        result = func(*args, **kwargs,\n                                      _token_tracker=token_tracker)\n                        self.add_span_event(\"llm_call_completed\")\n                        return result\n                    except Exception as e:\n                        self.add_span_event(\"llm_call_error\", {\n                            \"error_type\": type(e).__name__,\n                            \"error_message\": str(e)\n                        })\n                        raise\n\n            if hasattr(func, '__code__') and func.__code__.co_flags & 0x80:\n                return cast(F, async_wrapper)\n            else:\n                return cast(F, sync_wrapper)\n\n        return decorator\n\n\nclass LLMTokenTracker:\n    \"\"\"Tracks token generation metrics for streaming LLM responses.\"\"\"\n\n    def __init__(self, manager: MonitoringManager, model_name: str, span: Optional[Any] = None):\n        self.manager = manager\n        self.model_name = model_name\n        self.span = span\n        self.start_time = time.time()\n        self.first_token_time: Optional[float] = None\n        self.token_count = 0\n        self.input_tokens = 0\n        self.output_tokens = 0\n\n    def record_first_token(self) -> None:\n        \"\"\"Record the time when first token is received.\"\"\"\n        if not self.manager.is_enabled:\n            return\n\n        if self.first_token_time is None:\n            self.first_token_time = time.time()\n            ttft = self.first_token_time - self.start_time\n\n            if self.span:\n                self.span.add_event(\"first_token_received\",\n                                    {\"ttft_seconds\": ttft})\n\n            self.manager.record_llm_metrics(\n                \"ttft\", ttft, {\"model\": self.model_name})\n\n    def record_token(self, token: str) -> None:\n        \"\"\"Record a new token generated.\"\"\"\n        if not self.manager.is_enabled:\n            return\n\n        if self.first_token_time is None:\n            self.record_first_token()\n\n        self.token_count += 1\n\n        if self.span:\n            self.span.add_event(\"token_generated\", {\n                \"token_count\": self.token_count,\n                \"token_length\": len(token)\n            })\n\n    def record_completion(self, input_tokens: int = 0, output_tokens: int = 0) -> None:\n        \"\"\"Record completion metrics.\"\"\"\n        if not self.manager.is_enabled:\n            return\n\n        self.input_tokens = input_tokens\n        self.output_tokens = output_tokens\n        total_duration = time.time() - self.start_time\n\n        # Calculate token generation rate (tokens per second)\n        generation_rate = 0\n        if total_duration > 0 and self.token_count > 0:\n            generation_rate = self.token_count / total_duration\n            self.manager.record_llm_metrics(\"token_rate\", generation_rate, {\n                                            \"model\": self.model_name})\n\n        # Record total tokens\n        self.manager.record_llm_metrics(\"tokens\", input_tokens, {\n                                        \"model\": self.model_name, \"type\": \"input\"})\n        self.manager.record_llm_metrics(\"tokens\", output_tokens, {\n                                        \"model\": self.model_name, \"type\": \"output\"})\n\n        # Add span attributes\n        if self.span:\n            self.span.set_attributes({\n                \"llm.input_tokens\": input_tokens,\n                \"llm.output_tokens\": output_tokens,\n                \"llm.total_tokens\": input_tokens + output_tokens,\n                \"llm.generation_rate\": generation_rate,\n                \"llm.total_duration\": total_duration,\n                \"llm.ttft\": self.first_token_time - self.start_time if self.first_token_time else 0\n            })\n\n\n# Global singleton instance\n_monitoring_manager = MonitoringManager()\n\n\n# ============================================================================\n# Public API Functions - Singleton Access\n# ============================================================================\n\ndef get_monitoring_manager() -> MonitoringManager:\n    \"\"\"\n    Get the global monitoring manager singleton instance.\n\n    This is the primary interface for all monitoring operations.\n    Use this function to access the monitoring manager and its methods.\n\n    Example:\n        monitor = get_monitoring_manager()\n        monitor.configure(config)\n\n        @monitor.monitor_endpoint(\"my_service.my_function\")\n        async def my_function():\n            return {\"status\": \"ok\"}\n    \"\"\"\n    return _monitoring_manager\n\n\n# Export monitoring utilities\n__all__ = [\n    'MonitoringConfig',\n    'MonitoringManager',\n    'LLMTokenTracker',\n    'get_monitoring_manager',\n    'is_opentelemetry_available',\n]\n"
  },
  {
    "path": "sdk/nexent/multi_modal/__init__.py",
    "content": ""
  },
  {
    "path": "sdk/nexent/multi_modal/load_save_object.py",
    "content": "import functools\nimport inspect\nimport logging\nfrom io import BytesIO\nfrom typing import Any, Callable, List, Optional, Tuple\nimport requests\n\nfrom .utils import (\n    UrlType,\n    is_url,\n    generate_object_name,\n    detect_content_type_from_bytes,\n    guess_extension_from_content_type,\n    parse_s3_url\n)\n\nlogger = logging.getLogger(\"multi_modal\")\n\n\nclass LoadSaveObjectManager:\n    \"\"\"\n    Provide load/save decorators that operate on a specific storage client.\n    \n    The manager can be instantiated with a storage client and exposes decorator\n    factories for `load_object` and `save_object`. A default module-level manager\n    is also provided for backwards compatibility with existing helper functions.\n    \"\"\"\n\n    def __init__(self, storage_client: Any):\n        self._storage_client = storage_client\n\n    def _get_client(self) -> Any:\n        \"\"\"\n        Return a ready-to-use storage client, ensuring initialization first.\n        \"\"\"\n        if self._storage_client is None:\n            raise ValueError(\"Storage client is not initialized.\")\n        return self._storage_client\n\n    def download_file_from_url(\n            self,\n            url: str,\n            url_type: UrlType,\n            timeout: int = 30\n    ) -> Optional[bytes]:\n        \"\"\"\n        Download file content from S3 URL or HTTP/HTTPS URL as bytes.\n        \"\"\"\n        if not url:\n            return None\n\n        if not url_type:\n            raise ValueError(\"url_type must be provided for download_file_from_url\")\n\n        try:\n            if url_type in (\"http\", \"https\"):\n                response = requests.get(url, timeout=timeout)\n                response.raise_for_status()\n                return response.content\n\n            if url_type == \"s3\":\n                client = self._get_client()\n                bucket, object_name = parse_s3_url(url)\n\n                if not hasattr(client, 'get_file_stream'):\n                    raise ValueError(\"Storage client does not have get_file_stream method\")\n\n                success, stream = client.get_file_stream(object_name, bucket)\n                if not success:\n                    raise ValueError(f\"Failed to get file stream from storage: {stream}\")\n\n                try:\n                    bytes_data = stream.read()\n                    if hasattr(stream, 'close'):\n                        stream.close()\n                    return bytes_data\n                except Exception as exc:\n                    raise ValueError(f\"Failed to read stream content: {exc}\") from exc\n\n            raise ValueError(f\"Unsupported URL type: {url_type}\")\n\n        except Exception as exc:\n            logger.error(f\"Failed to download file from URL: {exc}\")\n            return None\n\n    def _upload_bytes_to_minio(\n            self,\n            bytes_data: bytes,\n            object_name: Optional[str] = None,\n            bucket: str = \"nexent\",\n            content_type: str = \"application/octet-stream\",\n    ) -> str:\n        \"\"\"\n        Upload bytes to MinIO and return the resulting file URL.\n        \"\"\"\n        client = self._get_client()\n\n        if not hasattr(client, 'upload_fileobj'):\n            raise ValueError(\"Storage client must have upload_fileobj method\")\n\n        if object_name is None:\n            file_ext = guess_extension_from_content_type(content_type)\n            object_name = generate_object_name(file_ext)\n\n        file_obj = BytesIO(bytes_data)\n        success, result = client.upload_fileobj(file_obj, object_name, bucket)\n\n        if not success:\n            raise ValueError(f\"Failed to upload file to MinIO: {result}\")\n\n        return result\n\n    def load_object(\n            self,\n            input_names: List[str],\n            input_data_transformer: Optional[List[Callable[[bytes], Any]]] = None,\n    ):\n        \"\"\"\n        Decorator factory that downloads inputs before invoking the wrapped callable.\n        \"\"\"\n\n        def decorator(func: Callable):\n            @functools.wraps(func)\n            def wrapper(*args, **kwargs):\n                def _transform_single_value(param_name: str, value: Any,\n                                            transformer: Optional[Callable[[bytes], Any]]) -> Any:\n                    if isinstance(value, str):\n                        url_type = is_url(value)\n                        if url_type:\n                            bytes_data = self.download_file_from_url(value, url_type=url_type)\n\n                            if bytes_data is None:\n                                raise ValueError(f\"Failed to download file from URL: {value}\")\n\n                            if transformer:\n                                transformed_data = transformer(bytes_data)\n                                logger.info(\n                                    f\"Downloaded {param_name} from URL and transformed \"\n                                    f\"using {transformer.__name__}\"\n                                )\n                                return transformed_data\n\n                            logger.info(f\"Downloaded {param_name} from URL as bytes (binary stream)\")\n                            return bytes_data\n\n                    raise ValueError(\n                        f\"Parameter '{param_name}' is not a URL string. \"\n                        f\"load_object decorator expects S3 or HTTP/HTTPS URLs. \"\n                        f\"Got: {type(value).__name__}\"\n                    )\n\n                def _process_value(param_name: str, value: Any,\n                                   transformer: Optional[Callable[[bytes], Any]]) -> Any:\n                    if value is None:\n                        return None\n\n                    if isinstance(value, (list, tuple)):\n                        processed_items = [\n                            _process_value(param_name, item, transformer)\n                            for item in value\n                        ]\n                        return type(value)(processed_items)\n\n                    return _transform_single_value(param_name, value, transformer)\n\n                sig = inspect.signature(func)\n                bound_args = sig.bind(*args, **kwargs)\n                bound_args.apply_defaults()\n\n                for i, param_name in enumerate(input_names):\n                    if param_name not in bound_args.arguments:\n                        continue\n\n                    original_data = bound_args.arguments[param_name]\n                    if original_data is None:\n                        continue\n\n                    transformer_func = (\n                        input_data_transformer[i]\n                        if input_data_transformer and i < len(input_data_transformer)\n                        else None\n                    )\n\n                    transformed_data = _process_value(param_name, original_data, transformer_func)\n                    bound_args.arguments[param_name] = transformed_data\n\n                return func(*bound_args.args, **bound_args.kwargs)\n\n            return wrapper\n\n        return decorator\n\n    def save_object(\n            self,\n            output_names: List[str],\n            output_transformers: Optional[List[Callable[[Any], bytes]]] = None,\n            bucket: str = \"nexent\",\n    ):\n        \"\"\"\n        Decorator factory that uploads outputs to storage after function execution.\n        \"\"\"\n\n        def decorator(func: Callable) -> Callable:\n            def _handle_results(results: Any):\n                if not isinstance(results, tuple):\n                    results_tuple = (results,)\n                else:\n                    results_tuple = results\n\n                if len(results_tuple) != len(output_names):\n                    raise ValueError(\n                        f\"Function returned {len(results_tuple)} values, \"\n                        f\"but expected {len(output_names)} outputs\"\n                    )\n\n                def _upload_single_output(\n                        name: str,\n                        value: Any,\n                        transformer: Optional[Callable[[Any], bytes]]\n                ) -> str:\n                    if transformer:\n                        bytes_data = transformer(value)\n                        if not isinstance(bytes_data, bytes):\n                            raise ValueError(\n                                f\"Transformer {transformer.__name__} for {name} must return bytes, \"\n                                f\"got {type(bytes_data).__name__}\"\n                            )\n                        logger.info(f\"Transformed {name} using {transformer.__name__} to bytes\")\n                    else:\n                        if not isinstance(value, bytes):\n                            raise ValueError(\n                                f\"Return value for {name} must be bytes when no transformer is provided, \"\n                                f\"got {type(value).__name__}\"\n                            )\n                        bytes_data = value\n                        logger.info(f\"Using {name} as bytes directly\")\n\n                    content_type = detect_content_type_from_bytes(bytes_data)\n                    logger.info(f\"Detected content type for {name}: {content_type}\")\n\n                    file_url = self._upload_bytes_to_minio(\n                        bytes_data,\n                        object_name=None,\n                        content_type=content_type,\n                        bucket=bucket,\n                    )\n                    logger.info(f\"Uploaded {name} to MinIO: {file_url}\")\n                    return \"s3:/\" + file_url\n\n                def _process_output_value(\n                        name: str,\n                        value: Any,\n                        transformer: Optional[Callable[[Any], bytes]]\n                ) -> Any:\n                    if value is None:\n                        return None\n\n                    if isinstance(value, (list, tuple)):\n                        processed_items = [\n                            _process_output_value(name, item, transformer)\n                            for item in value\n                        ]\n                        return type(value)(processed_items)\n\n                    return _upload_single_output(name, value, transformer)\n\n                uploaded_urls = []\n                for i, (result, name) in enumerate(zip(results_tuple, output_names)):\n                    transformer_func = (\n                        output_transformers[i]\n                        if output_transformers and i < len(output_transformers)\n                        else None\n                    )\n                    processed_result = _process_output_value(name, result, transformer_func)\n                    uploaded_urls.append(processed_result)\n\n                if len(uploaded_urls) == 1:\n                    return uploaded_urls[0]\n                return tuple(uploaded_urls)\n\n            if inspect.iscoroutinefunction(func):\n                @functools.wraps(func)\n                async def async_wrapper(*args, **kwargs):\n                    results = await func(*args, **kwargs)\n                    return _handle_results(results)\n\n                return async_wrapper\n\n            @functools.wraps(func)\n            def wrapper(*args, **kwargs):\n                results = func(*args, **kwargs)\n                return _handle_results(results)\n\n            return wrapper\n\n        return decorator"
  },
  {
    "path": "sdk/nexent/multi_modal/utils.py",
    "content": "import base64\nimport logging\nfrom datetime import datetime\nimport uuid\nfrom typing import Literal, Optional, Tuple\nimport mimetypes\nfrom pathlib import PurePosixPath\n\n\nlogger = logging.getLogger(\"multi_modal\")\n\nUrlType = Literal[\"http\", \"https\", \"s3\"]\n\n\ndef is_url(url: str) -> Optional[UrlType]:\n    \"\"\"\n    Classify a string URL as HTTP(S) or S3.\n\n    Args:\n        url: URL candidate\n\n    Returns:\n        'http', 'https', or 's3' when the input matches the respective\n        scheme. Returns None when the input is not a supported URL.\n    \"\"\"\n    if not url or not isinstance(url, str):\n        return None\n\n    url = url.strip()\n\n    if url.startswith(\"http://\"):\n        return \"http\"\n\n    if url.startswith(\"https://\"):\n        return \"https\"\n\n    if url.startswith(\"s3://\"):\n        bucket_path = url.replace(\"s3://\", \"\", 1)\n        bucket_object = bucket_path.split(\"/\", 1)\n        if len(bucket_object) == 2 and all(bucket_object):\n            return \"s3\"\n        return None\n\n    if url.startswith(\"/\"):\n        stripped = url.lstrip(\"/\")\n        parts = stripped.split(\"/\", 1)\n        if len(parts) == 2 and all(parts):\n            return \"s3\"\n        return None\n\n    return None\n\n\ndef bytes_to_base64(bytes_data: bytes, content_type: str = \"application/octet-stream\") -> str:\n    \"\"\"\n    Convert bytes to base64 data URI string\n\n    Args:\n        bytes_data: File content as bytes\n        content_type: MIME type (e.g., 'image/png', 'video/mp4', 'application/pdf')\n\n    Returns:\n        Base64 data URI string (e.g., \"data:image/png;base64,...\")\n    \"\"\"\n    if not bytes_data:\n        raise ValueError(\"bytes_data cannot be empty\")\n\n    b64_bytes = base64.b64encode(bytes_data)\n    b64_string = b64_bytes.decode(\"utf-8\")\n    return f\"data:{content_type};base64,{b64_string}\"\n\n\ndef guess_content_type_from_url(url: str) -> str:\n    \"\"\"\n    Guess content type from URL file extension\n\n    Args:\n        url: URL string\n\n    Returns:\n        MIME type string\n    \"\"\"\n    # Extract file extension\n    url_without_params = url.split(\"?\")[0]  # Remove query params\n    file_ext = PurePosixPath(url_without_params).suffix.lower()\n\n    # Try mimetypes first\n    content_type, _ = mimetypes.guess_type(url_without_params)\n    if content_type:\n        return content_type\n\n    # Fallback to common types\n    common_types = {\n        \".jpg\": \"image/jpeg\",\n        \".jpeg\": \"image/jpeg\",\n        \".png\": \"image/png\",\n        \".gif\": \"image/gif\",\n        \".webp\": \"image/webp\",\n        \".bmp\": \"image/bmp\",\n        \".mp4\": \"video/mp4\",\n        \".avi\": \"video/x-msvideo\",\n        \".mov\": \"video/quicktime\",\n        \".webm\": \"video/webm\",\n        \".mp3\": \"audio/mpeg\",\n        \".wav\": \"audio/wav\",\n        \".ogg\": \"audio/ogg\",\n        \".flac\": \"audio/flac\",\n        \".pdf\": \"application/pdf\",\n        \".txt\": \"text/plain\",\n        \".json\": \"application/json\",\n    }\n\n    return common_types.get(file_ext, \"application/octet-stream\")\n\n\ndef base64_to_bytes(base64_data: str) -> Tuple[bytes, str]:\n    \"\"\"\n    Convert base64 data URI to bytes and extract content type\n\n    Args:\n        base64_data: Base64 data URI string (e.g., \"data:image/png;base64,...\")\n\n    Returns:\n        Tuple[bytes, content_type]: File content as bytes and MIME type\n\n    Raises:\n        ValueError: If base64_data format is invalid\n    \"\"\"\n    if not base64_data or not isinstance(base64_data, str):\n        raise ValueError(\"base64_data must be a non-empty string\")\n\n    # Check if it is a data URI\n    if base64_data.startswith(\"data:\"):\n        # Parse data URI: data:content/type;base64,<data>\n        parts = base64_data.split(\",\", 1)\n        if len(parts) != 2:\n            raise ValueError(f\"Invalid data URI format: {base64_data[:50]}...\")\n\n        header = parts[0]\n        data = parts[1]\n\n        # Extract content type\n        if \";base64\" in header:\n            content_type = header.replace(\"data:\", \"\").replace(\";base64\", \"\")\n        else:\n            content_type = header.replace(\"data:\", \"\")\n\n        if not content_type:\n            content_type = \"application/octet-stream\"\n\n        # Decode base64\n        try:\n            bytes_data = base64.b64decode(data)\n            return bytes_data, content_type\n        except Exception as e:\n            raise ValueError(f\"Failed to decode base64 data: {e}\")\n    else:\n        # Assume it is raw base64 string without data URI prefix\n        try:\n            bytes_data = base64.b64decode(base64_data)\n            return bytes_data, \"application/octet-stream\"\n        except Exception as e:\n            raise ValueError(f\"Failed to decode base64 string: {e}\")\n\n\ndef generate_object_name(file_extension: str = \"\") -> str:\n    \"\"\"\n    Generate unique object name for MinIO upload\n\n    Args:\n        file_extension: File extension (e.g., '.png', '.jpg')\n\n    Returns:\n        Unique object name string\n    \"\"\"\n    timestamp = datetime.now().strftime(\"%Y%m%d_%H%M%S\")\n    unique_id = str(uuid.uuid4())[:8]\n\n    if file_extension and not file_extension.startswith(\".\"):\n        file_extension = \".\" + file_extension\n\n    return f\"{timestamp}_{unique_id}{file_extension}\"\n\n\ndef detect_content_type_from_bytes(bytes_data: bytes) -> str:\n    \"\"\"\n    Detect content type from binary data using magic bytes (file signatures)\n\n    Args:\n        bytes_data: Binary data to analyze\n\n    Returns:\n        MIME type string (e.g., 'image/png', 'video/mp4')\n    \"\"\"\n    if not bytes_data or len(bytes_data) < 4:\n        return \"application/octet-stream\"\n\n    # Get first bytes for magic number detection\n    header = bytes_data[:12]\n\n    # PNG: 89 50 4E 47 0D 0A 1A 0A\n    if len(bytes_data) >= 8 and header[:8] == b\"\\x89PNG\\r\\n\\x1a\\n\":\n        return \"image/png\"\n\n    # JPEG: FF D8 FF\n    if len(bytes_data) >= 3 and header[:3] == b\"\\xff\\xd8\\xff\":\n        return \"image/jpeg\"\n\n    # GIF: 47 49 46 38 (GIF8)\n    if len(bytes_data) >= 6 and header[:6] in (b\"GIF87a\", b\"GIF89a\"):\n        return \"image/gif\"\n\n    # WebP: 52 49 46 46 ... 57 45 42 50 (RIFF....WEBP)\n    if len(bytes_data) >= 12 and header[:4] == b\"RIFF\" and header[8:12] == b\"WEBP\":\n        return \"image/webp\"\n\n    # BMP: 42 4D (BM)\n    if len(bytes_data) >= 2 and header[:2] == b\"BM\":\n        return \"image/bmp\"\n\n    # PDF: 25 50 44 46 (%PDF)\n    if len(bytes_data) >= 4 and header[:4] == b\"%PDF\":\n        return \"application/pdf\"\n\n    # MP4: 00 00 00 ?? 66 74 79 70 (ftyp)\n    if len(bytes_data) >= 8:\n        # Check for ftyp at offset 4\n        if header[4:8] == b\"ftyp\":\n            return \"video/mp4\"\n        # Also check for quicktime/mov format\n        if header[4:8] == b\"qt  \":\n            return \"video/quicktime\"\n\n    # MP3: Check for ID3 tag or MPEG frame sync\n    if len(bytes_data) >= 3:\n        # ID3 tag: 49 44 33 (ID3)\n        if header[:3] == b\"ID3\":\n            return \"audio/mpeg\"\n        # MPEG frame sync: FF FB or FF F3\n        if header[:2] == b\"\\xff\\xfb\" or header[:2] == b\"\\xff\\xf3\":\n            return \"audio/mpeg\"\n\n    # WAV: 52 49 46 46 ... 57 41 56 45 (RIFF....WAVE)\n    if len(bytes_data) >= 12 and header[:4] == b\"RIFF\" and header[8:12] == b\"WAVE\":\n        return \"audio/wav\"\n\n    # OGG: 4F 67 67 53 (OggS)\n    if len(bytes_data) >= 4 and header[:4] == b\"OggS\":\n        return \"audio/ogg\"\n\n    # FLAC: 66 4C 61 43 (fLaC)\n    if len(bytes_data) >= 4 and header[:4] == b\"fLaC\":\n        return \"audio/flac\"\n\n    # WebM: 1A 45 DF A3 (EBML header)\n    if len(bytes_data) >= 4 and header[:4] == b\"\\x1a\\x45\\xdf\\xa3\":\n        return \"video/webm\"\n\n    # AVI: 52 49 46 46 ... 41 56 49 20 (RIFF....AVI )\n    if len(bytes_data) >= 12 and header[:4] == b\"RIFF\" and header[8:12] == b\"AVI \":\n        return \"video/x-msvideo\"\n\n    # JSON: Check if it starts with { or [\n    try:\n        if bytes_data[:1] in (b\"{\", b\"[\"):\n            # Try to decode as UTF-8 and parse as JSON\n            text = bytes_data[:100].decode(\"utf-8\", errors=\"ignore\").strip()\n            if text.startswith((\"{\", \"[\")):\n                return \"application/json\"\n    except Exception:\n        pass\n\n    # Text: Check if it is valid UTF-8 text\n    try:\n        text = bytes_data[:100].decode(\"utf-8\", errors=\"strict\")\n        # If it is mostly printable ASCII, consider it text\n        if all(32 <= ord(c) <= 126 or c in \"\\n\\r\\t\" for c in text[:50]):\n            return \"text/plain\"\n    except Exception:\n        pass\n\n    # Default: unknown binary\n    return \"application/octet-stream\"\n\n\ndef guess_extension_from_content_type(content_type: str) -> str:\n    \"\"\"\n    Guess file extension from content type\n\n    Args:\n        content_type: MIME type (e.g., 'image/png', 'video/mp4')\n\n    Returns:\n        File extension (e.g., '.png', '.mp4')\n    \"\"\"\n    content_type_to_ext = {\n        \"image/jpeg\": \".jpg\",\n        \"image/png\": \".png\",\n        \"image/gif\": \".gif\",\n        \"image/webp\": \".webp\",\n        \"image/bmp\": \".bmp\",\n        \"video/mp4\": \".mp4\",\n        \"video/x-msvideo\": \".avi\",\n        \"video/quicktime\": \".mov\",\n        \"video/webm\": \".webm\",\n        \"audio/mpeg\": \".mp3\",\n        \"audio/wav\": \".wav\",\n        \"audio/ogg\": \".ogg\",\n        \"audio/flac\": \".flac\",\n        \"application/pdf\": \".pdf\",\n        \"text/plain\": \".txt\",\n        \"application/json\": \".json\",\n    }\n\n    return content_type_to_ext.get(content_type, \"\")\n\n\ndef parse_s3_url(s3_url: str) -> Tuple[str, str]:\n    \"\"\"\n    Parse S3 URL to extract bucket and object_name\n\n    Supports formats:\n    - s3://bucket/key\n    - /bucket/key (MinIO path format)\n\n    Args:\n        s3_url: S3 URL string\n\n    Returns:\n        Tuple[bucket, object_name]\n\n    Raises:\n        ValueError: If URL format is not recognized\n    \"\"\"\n    if not s3_url:\n        raise ValueError(\"S3 URL cannot be empty\")\n\n    if s3_url.startswith('s3://'):\n        parts = s3_url.replace('s3://', '').split('/', 1)\n        if len(parts) == 2:\n            bucket, object_name = parts\n            if not bucket or not object_name:\n                raise ValueError(f\"Invalid s3:// URL format: {s3_url}\")\n            return bucket, object_name\n        raise ValueError(f\"Invalid s3:// URL format: {s3_url}\")\n\n    if s3_url.startswith('/'):\n        parts = s3_url.lstrip('/').split('/', 1)\n        if len(parts) == 2:\n            bucket, object_name = parts\n            return bucket, object_name\n        raise ValueError(f\"Invalid path format: {s3_url}\")\n\n    raise ValueError(f\"Unrecognized S3 URL format: {s3_url[:50]}...\")"
  },
  {
    "path": "sdk/nexent/storage/__init__.py",
    "content": "\"\"\"\nStorage module for Nexent SDK\n\nProvides abstract storage interface and implementations for various storage backends.\n\"\"\"\n\nfrom .storage_client_base import StorageClient, StorageConfig\nfrom .storage_client_factory import create_storage_client_from_config\nfrom .minio_config import MinIOStorageConfig\nfrom .minio import MinIOStorageClient\n\n__all__ = [\n    \"StorageClient\",\n    \"StorageConfig\",\n    \"MinIOStorageConfig\",\n    \"create_storage_client_from_config\",\n    \"MinIOStorageClient\",\n]\n\n"
  },
  {
    "path": "sdk/nexent/storage/minio.py",
    "content": "\"\"\"\nMinIO storage client implementation\n\nImplements StorageClient interface using boto3 S3 client for MinIO compatibility.\n\"\"\"\n\nimport logging\nimport os\nfrom typing import Any, BinaryIO, Dict, List, Optional, Tuple\n\nimport boto3\nfrom botocore.client import Config\nfrom botocore.exceptions import ClientError\n\nfrom .storage_client_base import StorageClient\n\nlogger = logging.getLogger(__name__)\n\n\nclass MinIOStorageClient(StorageClient):\n    \"\"\"\n    MinIO storage client implementation using boto3\n    \n    This client is compatible with MinIO and S3-compatible storage services.\n    \"\"\"\n\n    def __init__(\n        self,\n        endpoint: str,\n        access_key: str,\n        secret_key: str,\n        region: Optional[str] = None,\n        default_bucket: Optional[str] = None,\n        secure: bool = True\n    ):\n        \"\"\"\n        Initialize MinIO storage client\n\n        Args:\n            endpoint: MinIO endpoint URL (e.g., 'http://localhost:9000')\n            access_key: Access key ID\n            secret_key: Secret access key\n            region: AWS region name (optional, defaults to 'us-east-1')\n            default_bucket: Default bucket name (optional)\n            secure: Whether to use HTTPS (default: True)\n        \"\"\"\n        self.endpoint = endpoint\n        self.access_key = access_key\n        self.secret_key = secret_key\n        self.region = region or \"us-east-1\"\n        self.default_bucket = default_bucket\n        self.secure = secure\n\n        # Initialize S3 client with proxy settings\n        self.client = boto3.client(\n            's3',\n            endpoint_url=self.endpoint,\n            aws_access_key_id=self.access_key,\n            aws_secret_access_key=self.secret_key,\n            region_name=self.region,\n            use_ssl=self.secure,\n            config=Config(\n                signature_version='s3v4',\n                proxies={\n                    'http': None,\n                    'https': None\n                }\n            )\n        )\n\n        # Ensure default bucket exists if provided\n        if self.default_bucket:\n            self._ensure_bucket_exists(self.default_bucket)\n\n    def _ensure_bucket_exists(self, bucket_name: str) -> None:\n        \"\"\"\n        Ensure bucket exists, create if it doesn't\n        \n        Args:\n            bucket_name: Name of the bucket to ensure exists\n            \n        Raises:\n            ClientError: If bucket creation fails or bucket check fails with unexpected error\n        \"\"\"\n        try:\n            self.client.head_bucket(Bucket=bucket_name)\n            logger.debug(f\"Bucket {bucket_name} already exists\")\n        except ClientError as e:\n            error_code = e.response.get('Error', {}).get('Code', '')\n            if error_code == '404':\n                # Bucket doesn't exist, create it\n                try:\n                    self.client.create_bucket(Bucket=bucket_name)\n                    logger.info(f\"Created bucket: {bucket_name}\")\n                except ClientError as create_error:\n                    error_msg = f\"Failed to create bucket {bucket_name}: {create_error}\"\n                    logger.error(error_msg)\n                    raise\n            else:\n                # Other error (e.g., permission denied)\n                error_msg = f\"Failed to check bucket {bucket_name}: {e}\"\n                logger.error(error_msg)\n                raise\n\n    def upload_file(\n        self,\n        file_path: str,\n        object_name: Optional[str] = None,\n        bucket: Optional[str] = None\n    ) -> Tuple[bool, str]:\n        \"\"\"\n        Upload local file to MinIO\n\n        Args:\n            file_path: Local file path\n            object_name: Object name, if not specified use filename\n            bucket: Bucket name, if not specified use default bucket\n\n        Returns:\n            Tuple[bool, str]: (Success status, File URL or error message)\n        \"\"\"\n        bucket = bucket or self.default_bucket\n        if bucket is None:\n            return False, \"Bucket name is required\"\n\n        if object_name is None:\n            object_name = os.path.basename(file_path)\n\n        try:\n            self.client.upload_file(file_path, bucket, object_name)\n            # Return path format that can be used with get_file_url() to get presigned URL\n            file_url = f\"/{bucket}/{object_name}\"\n            return True, file_url\n        except Exception as e:\n            logger.error(f\"Failed to upload file {file_path}: {e}\")\n            return False, str(e)\n\n    def upload_fileobj(\n        self,\n        file_obj: BinaryIO,\n        object_name: str,\n        bucket: Optional[str] = None\n    ) -> Tuple[bool, str]:\n        \"\"\"\n        Upload file object to MinIO\n\n        Args:\n            file_obj: File object (BinaryIO)\n            object_name: Object name\n            bucket: Bucket name, if not specified use default bucket\n\n        Returns:\n            Tuple[bool, str]: (Success status, File URL or error message)\n        \"\"\"\n        bucket = bucket or self.default_bucket\n        if bucket is None:\n            return False, \"Bucket name is required\"\n\n        try:\n            self.client.upload_fileobj(file_obj, bucket, object_name)\n            # Return path format that can be used with get_file_url() to get presigned URL\n            file_url = f\"/{bucket}/{object_name}\"\n            return True, file_url\n        except Exception as e:\n            logger.error(f\"Failed to upload file object {object_name}: {e}\")\n            return False, str(e)\n\n    def download_file(\n        self,\n        object_name: str,\n        file_path: str,\n        bucket: Optional[str] = None\n    ) -> Tuple[bool, str]:\n        \"\"\"\n        Download file from MinIO to local\n\n        Args:\n            object_name: Object name\n            file_path: Local save path\n            bucket: Bucket name, if not specified use default bucket\n\n        Returns:\n            Tuple[bool, str]: (Success status, Success message or error message)\n        \"\"\"\n        bucket = bucket or self.default_bucket\n        if bucket is None:\n            return False, \"Bucket name is required\"\n\n        try:\n            self.client.download_file(bucket, object_name, file_path)\n            return True, f\"File downloaded successfully to {file_path}\"\n        except Exception as e:\n            logger.error(f\"Failed to download file {object_name}: {e}\")\n            return False, str(e)\n\n    def get_file_url(\n        self,\n        object_name: str,\n        bucket: Optional[str] = None,\n        expires: int = 3600\n    ) -> Tuple[bool, str]:\n        \"\"\"\n        Get presigned URL for file\n\n        Args:\n            object_name: Object name\n            bucket: Bucket name, if not specified use default bucket\n            expires: URL expiration time in seconds\n\n        Returns:\n            Tuple[bool, str]: (Success status, Presigned URL or error message)\n        \"\"\"\n        bucket = bucket or self.default_bucket\n        if bucket is None:\n            return False, \"Bucket name is required\"\n\n        try:\n            url = self.client.generate_presigned_url(\n                'get_object',\n                Params={'Bucket': bucket, 'Key': object_name},\n                ExpiresIn=expires\n            )\n            return True, url\n        except Exception as e:\n            logger.error(f\"Failed to generate presigned URL for {object_name}: {e}\")\n            return False, str(e)\n\n    def get_file_stream(\n        self,\n        object_name: str,\n        bucket: Optional[str] = None\n    ) -> Tuple[bool, Any]:\n        \"\"\"\n        Get file binary stream from MinIO\n\n        Args:\n            object_name: Object name\n            bucket: Bucket name, if not specified use default bucket\n\n        Returns:\n            Tuple[bool, Any]: (Success status, File stream object or error message string)\n                On success: (True, stream_object)\n                On failure: (False, error_message_string)\n        \"\"\"\n        bucket = bucket or self.default_bucket\n        if bucket is None:\n            return False, \"Bucket name is required\"\n\n        try:\n            response = self.client.get_object(Bucket=bucket, Key=object_name)\n            return True, response['Body']\n        except ClientError as e:\n            error_code = e.response.get('Error', {}).get('Code', '')\n            if error_code == '404':\n                # File not found is a normal business scenario, log at debug level\n                logger.debug(f\"File not found when getting stream: {object_name}\")\n                return False, f\"File not found: {object_name}\"\n            else:\n                # Other errors (permission, network, etc.) should be logged as errors\n                error_msg = f\"Failed to get file stream for {object_name}: {e}\"\n                logger.error(error_msg)\n                return False, error_msg\n        except Exception as e:\n            error_msg = f\"Unexpected error getting file stream for {object_name}: {e}\"\n            logger.error(error_msg)\n            return False, error_msg\n\n    def get_file_size(\n        self,\n        object_name: str,\n        bucket: Optional[str] = None\n    ) -> int:\n        \"\"\"\n        Get file size in bytes\n\n        Args:\n            object_name: Object name\n            bucket: Bucket name, if not specified use default bucket\n\n        Returns:\n            int: File size in bytes, 0 if file not found or error\n        \"\"\"\n        bucket = bucket or self.default_bucket\n        if bucket is None:\n            return 0\n\n        try:\n            response = self.client.head_object(Bucket=bucket, Key=object_name)\n            return int(response['ContentLength'])\n        except ClientError as e:\n            error_code = e.response.get('Error', {}).get('Code', '')\n            if error_code == '404':\n                # File not found is a normal business scenario, log at debug level\n                logger.debug(f\"File not found when getting size: {object_name}\")\n            else:\n                # Other errors (permission, network, etc.) should be logged as errors\n                logger.error(f\"Failed to get file size for {object_name}: {e}\")\n            return 0\n\n    def list_files(\n        self,\n        prefix: str = \"\",\n        bucket: Optional[str] = None\n    ) -> List[Dict[str, Any]]:\n        \"\"\"\n        List files in bucket\n\n        Args:\n            prefix: Prefix filter\n            bucket: Bucket name, if not specified use default bucket\n\n        Returns:\n            List[Dict[str, Any]]: List of file information dictionaries\n                Each dict contains: 'key', 'size', 'last_modified'\n        \"\"\"\n        bucket = bucket or self.default_bucket\n        if bucket is None:\n            return []\n\n        try:\n            response = self.client.list_objects_v2(\n                Bucket=bucket,\n                Prefix=prefix\n            )\n            files = []\n            if 'Contents' in response:\n                for obj in response['Contents']:\n                    files.append({\n                        'key': obj['Key'],\n                        'size': obj['Size'],\n                        'last_modified': obj['LastModified']\n                    })\n            return files\n        except Exception as e:\n            logger.error(f\"Error listing files: {e}\")\n            return []\n\n    def delete_file(\n        self,\n        object_name: str,\n        bucket: Optional[str] = None\n    ) -> Tuple[bool, str]:\n        \"\"\"\n        Delete file from storage\n\n        Args:\n            object_name: Object name\n            bucket: Bucket name, if not specified use default bucket\n\n        Returns:\n            Tuple[bool, str]: (Success status, Success message or error message)\n        \"\"\"\n        bucket = bucket or self.default_bucket\n        if bucket is None:\n            return False, \"Bucket name is required\"\n\n        try:\n            self.client.delete_object(Bucket=bucket, Key=object_name)\n            return True, f\"File {object_name} deleted successfully\"\n        except ClientError as e:\n            error_code = e.response.get('Error', {}).get('Code', '')\n            if error_code == '404':\n                # File not found - deletion is idempotent, log at debug level\n                logger.debug(f\"File not found when deleting (idempotent): {object_name}\")\n                return True, f\"File {object_name} does not exist (already deleted)\"\n            else:\n                # Other errors (permission, network, etc.) should be logged as errors\n                logger.error(f\"Failed to delete file {object_name}: {e}\")\n                return False, str(e)\n        except Exception as e:\n            logger.error(f\"Failed to delete file {object_name}: {e}\")\n            return False, str(e)\n\n    def exists(\n        self,\n        object_name: str,\n        bucket: Optional[str] = None\n    ) -> bool:\n        \"\"\"\n        Check if file exists in storage\n\n        Args:\n            object_name: Object name\n            bucket: Bucket name, if not specified use default bucket\n\n        Returns:\n            bool: True if file exists, False otherwise\n        \"\"\"\n        bucket = bucket or self.default_bucket\n        if bucket is None:\n            return False\n\n        try:\n            self.client.head_object(Bucket=bucket, Key=object_name)\n            return True\n        except ClientError:\n            return False\n\n    def copy_file(\n        self,\n        source_object: str,\n        dest_object: str,\n        bucket: Optional[str] = None\n    ) -> Tuple[bool, str]:\n        \"\"\"\n        Copy a file within the same bucket.\n\n        Args:\n            source_object: Source object name\n            dest_object: Destination object name\n            bucket: Bucket name, if not specified use default bucket\n\n        Returns:\n            Tuple[bool, str]: (Success status, Destination object name or error message)\n        \"\"\"\n        bucket = bucket or self.default_bucket\n        if bucket is None:\n            return False, \"Bucket name is required\"\n\n        try:\n            copy_source = {\"Bucket\": bucket, \"Key\": source_object}\n            self.client.copy_object(\n                Bucket=bucket,\n                Key=dest_object,\n                CopySource=copy_source\n            )\n            return True, dest_object\n        except Exception as e:\n            logger.error(f\"Failed to copy object {source_object} to {dest_object}: {e}\")\n            return False, str(e)\n"
  },
  {
    "path": "sdk/nexent/storage/minio_config.py",
    "content": "\"\"\"\nMinIO storage configuration\n\nProvides configuration class for MinIO storage backend.\n\"\"\"\n\nfrom typing import Optional\n\nfrom .storage_client_base import StorageConfig, StorageType\n\n\nclass MinIOStorageConfig(StorageConfig):\n    \"\"\"MinIO storage configuration\"\"\"\n\n    def __init__(\n        self,\n        endpoint: str,\n        access_key: str,\n        secret_key: str,\n        region: Optional[str] = None,\n        default_bucket: Optional[str] = None,\n        secure: bool = True\n    ):\n        \"\"\"\n        Initialize MinIO storage configuration\n\n        Args:\n            endpoint: MinIO endpoint URL (e.g., 'http://localhost:9000')\n            access_key: Access key ID\n            secret_key: Secret access key\n            region: AWS region name (optional, defaults to 'us-east-1')\n            default_bucket: Default bucket name (optional)\n            secure: Whether to use HTTPS (default: True)\n        \"\"\"\n        self._endpoint = endpoint\n        self._access_key = access_key\n        self._secret_key = secret_key\n        self._region = region\n        self._default_bucket = default_bucket\n        self._secure = secure\n\n    @property\n    def storage_type(self) -> StorageType:\n        \"\"\"Get storage type\"\"\"\n        return StorageType.MINIO\n\n    @property\n    def endpoint(self) -> str:\n        \"\"\"Get endpoint URL\"\"\"\n        return self._endpoint\n\n    @property\n    def access_key(self) -> str:\n        \"\"\"Get access key\"\"\"\n        return self._access_key\n\n    @property\n    def secret_key(self) -> str:\n        \"\"\"Get secret key\"\"\"\n        return self._secret_key\n\n    @property\n    def region(self) -> Optional[str]:\n        \"\"\"Get region\"\"\"\n        return self._region\n\n    @property\n    def default_bucket(self) -> Optional[str]:\n        \"\"\"Get default bucket\"\"\"\n        return self._default_bucket\n\n    @property\n    def secure(self) -> bool:\n        \"\"\"Get secure flag\"\"\"\n        return self._secure\n\n    def validate(self) -> None:\n        \"\"\"\n        Validate MinIO configuration parameters\n\n        Raises:\n            ValueError: If required parameters are missing\n        \"\"\"\n        if not self._endpoint:\n            raise ValueError(\"endpoint is required for MinIO storage\")\n        if not self._access_key:\n            raise ValueError(\"access_key is required for MinIO storage\")\n        if not self._secret_key:\n            raise ValueError(\"secret_key is required for MinIO storage\")\n\n"
  },
  {
    "path": "sdk/nexent/storage/storage_client_base.py",
    "content": "\"\"\"\nAbstract base classes for storage clients and configurations\n\nDefines the common interfaces that all storage implementations must follow.\n\"\"\"\n\nfrom abc import ABC, abstractmethod\nfrom enum import Enum\nfrom typing import Any, BinaryIO, Dict, List, Optional, Tuple\n\n\nclass StorageType(Enum):\n    \"\"\"Storage type enumeration, Defines all supported storage types.\"\"\"\n    MINIO = \"minio\"\n    # Future storage types can be added here\n    # S3 = \"s3\"\n    # AZURE = \"azure\"\n    # GCS = \"gcs\"\n\n\nclass StorageConfig(ABC):\n    \"\"\"Abstract storage configuration base class\"\"\"\n\n    @property\n    @abstractmethod\n    def storage_type(self) -> StorageType:\n        \"\"\"Get storage type\"\"\"\n        pass\n\n    @abstractmethod\n    def validate(self) -> None:\n        \"\"\"\n        Validate configuration parameters\n\n        Raises:\n            ValueError: If required parameters are missing or invalid\n        \"\"\"\n        pass\n\n\nclass StorageClient(ABC):\n    \"\"\"\n    Abstract base class for storage clients\n    \n    All storage implementations must inherit from this class and implement\n    all abstract methods.\n    \"\"\"\n\n    @abstractmethod\n    def upload_file(\n        self,\n        file_path: str,\n        object_name: Optional[str] = None,\n        bucket: Optional[str] = None\n    ) -> Tuple[bool, str]:\n        \"\"\"\n        Upload local file to storage\n\n        Args:\n            file_path: Local file path\n            object_name: Object name, if not specified use filename\n            bucket: Bucket name, if not specified use default bucket\n\n        Returns:\n            Tuple[bool, str]: (Success status, File URL or error message)\n        \"\"\"\n        pass\n\n    @abstractmethod\n    def upload_fileobj(\n        self,\n        file_obj: BinaryIO,\n        object_name: str,\n        bucket: Optional[str] = None\n    ) -> Tuple[bool, str]:\n        \"\"\"\n        Upload file object to storage\n\n        Args:\n            file_obj: File object (BinaryIO)\n            object_name: Object name\n            bucket: Bucket name, if not specified use default bucket\n\n        Returns:\n            Tuple[bool, str]: (Success status, File URL or error message)\n        \"\"\"\n        pass\n\n    @abstractmethod\n    def download_file(\n        self,\n        object_name: str,\n        file_path: str,\n        bucket: Optional[str] = None\n    ) -> Tuple[bool, str]:\n        \"\"\"\n        Download file from storage to local\n\n        Args:\n            object_name: Object name\n            file_path: Local save path\n            bucket: Bucket name, if not specified use default bucket\n\n        Returns:\n            Tuple[bool, str]: (Success status, Success message or error message)\n        \"\"\"\n        pass\n\n    @abstractmethod\n    def get_file_url(\n        self,\n        object_name: str,\n        bucket: Optional[str] = None,\n        expires: int = 3600\n    ) -> Tuple[bool, str]:\n        \"\"\"\n        Get presigned URL for file\n\n        Args:\n            object_name: Object name\n            bucket: Bucket name, if not specified use default bucket\n            expires: URL expiration time in seconds\n\n        Returns:\n            Tuple[bool, str]: (Success status, Presigned URL or error message)\n        \"\"\"\n        pass\n\n    @abstractmethod\n    def get_file_stream(\n        self,\n        object_name: str,\n        bucket: Optional[str] = None\n    ) -> Tuple[bool, Any]:\n        \"\"\"\n        Get file binary stream from storage\n\n        Args:\n            object_name: Object name\n            bucket: Bucket name, if not specified use default bucket\n\n        Returns:\n            Tuple[bool, Any]: (Success status, File stream object or error message)\n        \"\"\"\n        pass\n\n    @abstractmethod\n    def get_file_size(\n        self,\n        object_name: str,\n        bucket: Optional[str] = None\n    ) -> int:\n        \"\"\"\n        Get file size in bytes\n\n        Args:\n            object_name: Object name\n            bucket: Bucket name, if not specified use default bucket\n\n        Returns:\n            int: File size in bytes, 0 if file not found or error\n        \"\"\"\n        pass\n\n    @abstractmethod\n    def list_files(\n        self,\n        prefix: str = \"\",\n        bucket: Optional[str] = None\n    ) -> List[Dict[str, Any]]:\n        \"\"\"\n        List files in bucket\n\n        Args:\n            prefix: Prefix filter\n            bucket: Bucket name, if not specified use default bucket\n\n        Returns:\n            List[Dict[str, Any]]: List of file information dictionaries\n                Each dict contains: 'key', 'size', 'last_modified'\n        \"\"\"\n        pass\n\n    @abstractmethod\n    def delete_file(\n        self,\n        object_name: str,\n        bucket: Optional[str] = None\n    ) -> Tuple[bool, str]:\n        \"\"\"\n        Delete file from storage\n\n        Args:\n            object_name: Object name\n            bucket: Bucket name, if not specified use default bucket\n\n        Returns:\n            Tuple[bool, str]: (Success status, Success message or error message)\n        \"\"\"\n        pass\n\n    @abstractmethod\n    def exists(\n        self,\n        object_name: str,\n        bucket: Optional[str] = None\n    ) -> bool:\n        \"\"\"\n        Check if file exists in storage\n\n        Args:\n            object_name: Object name\n            bucket: Bucket name, if not specified use default bucket\n\n        Returns:\n            bool: True if file exists, False otherwise\n        \"\"\"\n        pass\n\n    @abstractmethod\n    def copy_file(\n        self,\n        source_object: str,\n        dest_object: str,\n        bucket: Optional[str] = None\n    ) -> Tuple[bool, str]:\n        \"\"\"\n        Copy a file within the same bucket.\n\n        Args:\n            source_object: Source object name\n            dest_object: Destination object name\n            bucket: Bucket name, if not specified use default bucket\n\n        Returns:\n            Tuple[bool, str]: (Success status, Destination object name or error message)\n        \"\"\"\n        pass"
  },
  {
    "path": "sdk/nexent/storage/storage_client_factory.py",
    "content": "\"\"\"\nStorage factory for creating storage client instances\n\nProvides factory methods to create different types of storage clients.\n\"\"\"\n\nfrom .storage_client_base import StorageClient, StorageConfig, StorageType\nfrom .minio import MinIOStorageClient\nfrom .minio_config import MinIOStorageConfig\n\n\ndef create_storage_client_from_config(config: StorageConfig) -> StorageClient:\n    \"\"\"\n    Create storage client from configuration object\n\n    Args:\n        config: StorageConfig instance (or its subclass)\n\n    Returns:\n        StorageClient: Instance of the requested storage client\n\n    Raises:\n        ValueError: If storage type is not supported or configuration is invalid\n\n    Example:\n        # Create MinIO client\n        config = MinIOStorageConfig(\n            endpoint=\"http://localhost:9000\",\n            access_key=\"minioadmin\",\n            secret_key=\"minioadmin\",\n            default_bucket=\"my-bucket\"\n        )\n        client = create_storage_client_from_config(config)\n\n        # Upload a file\n        success, url = client.upload_file(\"local_file.txt\", \"remote_file.txt\")\n    \"\"\"\n    # Validate configuration\n    config.validate()\n\n    # Create client based on storage type\n    if config.storage_type == StorageType.MINIO:\n        if not isinstance(config, MinIOStorageConfig):\n            raise ValueError(\n                f\"Expected MinIOStorageConfig for MINIO storage type, \"\n                f\"got {type(config).__name__}\"\n            )\n        return MinIOStorageClient(\n            endpoint=config.endpoint,\n            access_key=config.access_key,\n            secret_key=config.secret_key,\n            region=config.region,\n            default_bucket=config.default_bucket,\n            secure=config.secure\n        )\n    else:\n        raise ValueError(f\"Unsupported storage type: {config.storage_type}\")\n"
  },
  {
    "path": "sdk/nexent/utils/__init__.py",
    "content": "\"\"\"\nUtility modules for the Nexent SDK.\n\"\"\"\n"
  },
  {
    "path": "sdk/nexent/utils/http_client_manager.py",
    "content": "\"\"\"\nShared HTTP Client Manager for connection pooling and lifecycle management.\n\nThis module provides a singleton HTTP client manager that enables efficient\nconnection pooling across multiple services (DataMate, Dify, etc.) to avoid\nsocket exhaustion and port conflicts on Windows systems.\n\n    Usage:\n    from nexent.utils.http_client_manager import http_client_manager\n\n    # Get the shared sync client (configurable per base_url)\n    client = http_client_manager.get_sync_client(\n        base_url=\"https://api.example.com\",\n        timeout=30.0,\n        verify_ssl=True\n    )\n\n    # Different configs for same base_url create separate clients\n    client2 = http_client_manager.get_sync_client(\n        base_url=\"https://api.example.com\",\n        timeout=60.0,  # Different timeout = separate client\n        verify_ssl=False  # Different SSL setting = separate client\n    )\n\n    # Make requests using the shared client\n    response = client.get(\"/api/endpoint\")\n\n    # Use as context manager for automatic cleanup (recommended)\n    with http_client_manager as manager:\n        client = manager.get_sync_client(base_url=\"https://api.example.com\")\n        response = client.get(\"/api/endpoint\")\n    # All HTTP clients are automatically closed when exiting the context\n\n    # Manual shutdown when not using context manager\n    # http_client_manager.shutdown()\n\"\"\"\nimport logging\nimport threading\nfrom contextlib import contextmanager\nfrom typing import Dict, Optional, Any\nfrom dataclasses import dataclass, field\n\nimport httpx\nfrom httpx import Limits\n\nlogger = logging.getLogger(\"http_client_manager\")\n\n\n@dataclass\nclass ClientConfig:\n    \"\"\"Configuration for an HTTP client.\"\"\"\n    base_url: str\n    timeout: float = 30.0\n    verify_ssl: bool = True\n    limits: Limits = field(default_factory=lambda: Limits(\n        max_connections=100,\n        max_keepalive_connections=20\n    ))\n\n\nclass HttpClientManager:\n    \"\"\"\n    Singleton HTTP client manager for connection pooling and lifecycle management.\n\n    This manager maintains a registry of HTTP clients for different base URLs,\n    reusing connections across requests to avoid socket exhaustion and port conflicts.\n\n    Features:\n    - Singleton pattern: single instance across the entire application\n    - Connection pooling: reuse connections for the same base URL\n    - Thread-safe: uses locks for thread-safe client access\n    - Lazy initialization: clients are created on-demand\n    - Graceful shutdown: properly close all clients on shutdown\n    \"\"\"\n\n    _instance: Optional['HttpClientManager'] = None\n    _lock: threading.Lock = threading.Lock()\n\n    def __new__(cls) -> 'HttpClientManager':\n        \"\"\"Ensure singleton pattern with thread-safe initialization.\"\"\"\n        if cls._instance is None:\n            with cls._lock:\n                if cls._instance is None:\n                    cls._instance = super().__new__(cls)\n                    cls._instance._initialized = False\n        return cls._instance\n\n    def __init__(self):\n        \"\"\"Initialize the HTTP client manager if not already initialized.\"\"\"\n        if self._initialized:\n            return\n\n        self._clients: Dict[str, httpx.Client] = {}\n        self._async_clients: Dict[str, httpx.AsyncClient] = {}\n        self._configs: Dict[str, ClientConfig] = {}\n        self._lock = threading.Lock()\n        self._initialized = True\n        logger.info(\"HttpClientManager initialized (singleton)\")\n\n    def __enter__(self) -> 'HttpClientManager':\n        \"\"\"\n        Support context manager protocol for automatic resource cleanup.\n\n        Usage:\n            with http_client_manager as manager:\n                client = manager.get_sync_client(base_url=\"https://api.example.com\")\n                response = client.get(\"/api/endpoint\")\n            # All HTTP clients are automatically closed when exiting the context\n\n        Returns:\n            HttpClientManager: The singleton instance itself\n        \"\"\"\n        return self\n\n    def __exit__(self, exc_type, exc_val, exc_tb) -> None:\n        \"\"\"\n        Exit context manager and close all HTTP clients.\n\n        This method is automatically called when exiting the with statement,\n        ensuring all HTTP connections are properly closed regardless of\n        whether an exception occurred.\n\n        Args:\n            exc_type: Exception type (if any)\n            exc_val: Exception value (if any)\n            exc_tb: Exception traceback (if any)\n        \"\"\"\n        self.shutdown()\n\n    def _get_client_key(self, base_url: str, timeout: float, verify_ssl: bool) -> str:\n        \"\"\"\n        Generate a unique key for client registry based on URL, timeout, and SSL setting.\n\n        Different configurations (timeout, verify_ssl) for the same base_url\n        will create separate client instances to ensure correct behavior.\n        \"\"\"\n        return f\"{base_url}|{timeout}|{verify_ssl}\"\n\n    def get_sync_client(self, base_url: str, timeout: float = 30.0,\n                        verify_ssl: bool = True) -> httpx.Client:\n        \"\"\"\n        Get or create a synchronous HTTP client for the given configuration.\n\n        Different timeout or verify_ssl settings for the same base_url will\n        create separate client instances.\n\n        Args:\n            base_url: Base URL for the HTTP client\n            timeout: Request timeout in seconds (default: 30.0)\n            verify_ssl: Whether to verify SSL certificates (default: True)\n\n        Returns:\n            httpx.Client instance configured for the given parameters\n        \"\"\"\n        key = self._get_client_key(base_url, timeout, verify_ssl)\n\n        with self._lock:\n            if key not in self._clients:\n                logger.info(\n                    f\"Creating sync HTTP client for: {base_url} (timeout={timeout}, verify_ssl={verify_ssl})\")\n                self._configs[key] = ClientConfig(\n                    base_url=base_url,\n                    timeout=timeout,\n                    verify_ssl=verify_ssl\n                )\n                self._clients[key] = httpx.Client(\n                    timeout=timeout,\n                    verify=verify_ssl,\n                    limits=Limits(\n                        max_connections=100,\n                        max_keepalive_connections=20\n                    )\n                )\n                logger.info(f\"Sync HTTP client created for {base_url}\")\n\n            return self._clients[key]\n\n    def get_async_client(self, base_url: str, timeout: float = 30.0,\n                         verify_ssl: bool = True) -> httpx.AsyncClient:\n        \"\"\"\n        Get or create an asynchronous HTTP client for the given configuration.\n\n        Different timeout or verify_ssl settings for the same base_url will\n        create separate client instances.\n\n        Args:\n            base_url: Base URL for the HTTP client\n            timeout: Request timeout in seconds (default: 30.0)\n            verify_ssl: Whether to verify SSL certificates (default: True)\n\n        Returns:\n            httpx.AsyncClient instance configured for the given parameters\n        \"\"\"\n        key = self._get_client_key(base_url, timeout, verify_ssl)\n\n        with self._lock:\n            if key not in self._async_clients:\n                logger.info(\n                    f\"Creating async HTTP client for: {base_url} (timeout={timeout}, verify_ssl={verify_ssl})\")\n                self._configs[key] = ClientConfig(\n                    base_url=base_url,\n                    timeout=timeout,\n                    verify_ssl=verify_ssl\n                )\n                self._async_clients[key] = httpx.AsyncClient(\n                    timeout=timeout,\n                    verify=verify_ssl,\n                    limits=Limits(\n                        max_connections=100,\n                        max_keepalive_connections=20\n                    )\n                )\n                logger.info(f\"Async HTTP client created for {base_url}\")\n\n            return self._async_clients[key]\n\n    def get_client_config(self, base_url: str, timeout: float = 30.0,\n                          verify_ssl: bool = True) -> Optional[ClientConfig]:\n        \"\"\"Get the configuration for a specific client.\"\"\"\n        key = self._get_client_key(base_url, timeout, verify_ssl)\n        return self._configs.get(key)\n\n    def close_client(self, base_url: str, timeout: float = 30.0,\n                     verify_ssl: bool = True) -> bool:\n        \"\"\"\n        Close and remove a specific HTTP client.\n\n        Args:\n            base_url: Base URL of the client to close\n            timeout: Timeout setting of the client\n            verify_ssl: SSL verification setting of the client\n\n        Returns:\n            True if client was found and closed, False otherwise\n        \"\"\"\n        key = self._get_client_key(base_url, timeout, verify_ssl)\n\n        with self._lock:\n            if key in self._clients:\n                try:\n                    self._clients[key].close()\n                    del self._clients[key]\n                    logger.info(f\"Closed sync HTTP client: {base_url}\")\n                    return True\n                except Exception as e:\n                    logger.error(f\"Error closing sync client: {e}\")\n                    return False\n            return False\n\n    async def close_async_client(self, base_url: str, timeout: float = 30.0,\n                                 verify_ssl: bool = True) -> bool:\n        \"\"\"\n        Close and remove a specific async HTTP client.\n\n        Args:\n            base_url: Base URL of the client to close\n            timeout: Timeout setting of the client\n            verify_ssl: SSL verification setting of the client\n\n        Returns:\n            True if client was found and closed, False otherwise\n        \"\"\"\n        key = self._get_client_key(base_url, timeout, verify_ssl)\n\n        with self._lock:\n            if key in self._async_clients:\n                try:\n                    await self._async_clients[key].aclose()\n                    del self._async_clients[key]\n                    logger.info(f\"Closed async HTTP client: {base_url}\")\n                    return True\n                except Exception as e:\n                    logger.error(f\"Error closing async client: {e}\")\n                    return False\n            return False\n\n    def shutdown(self) -> None:\n        \"\"\"\n        Gracefully shutdown all HTTP clients.\n\n        This method should be called when the application is shutting down\n        to properly release all resources and close all connections.\n        \"\"\"\n        logger.info(\"Shutting down HttpClientManager...\")\n\n        with self._lock:\n            # Close all sync clients\n            for key, client in list(self._clients.items()):\n                try:\n                    base_url = self._configs.get(\n                        key, ClientConfig(base_url=key)).base_url\n                    client.close()\n                    logger.info(f\"Closed sync HTTP client: {base_url}\")\n                except Exception as e:\n                    logger.error(f\"Error closing sync client: {e}\")\n            self._clients.clear()\n\n            # Note: Async clients should be closed using aclose()\n            # They remain in the dict for now as we can't await in sync context\n            if self._async_clients:\n                logger.warning(\n                    f\"There are {len(self._async_clients)} async clients still open. \"\n                    \"They should be closed using close_all_async_clients()\"\n                )\n\n            self._configs.clear()\n            logger.info(\"HttpClientManager shutdown complete\")\n\n    async def shutdown_async(self) -> None:\n        \"\"\"\n        Gracefully shutdown all HTTP clients (async version).\n\n        This method properly closes both sync and async clients.\n        \"\"\"\n        logger.info(\"Shutting down HttpClientManager (async)...\")\n\n        with self._lock:\n            # Close all sync clients\n            for key, client in list(self._clients.items()):\n                try:\n                    base_url = self._configs.get(\n                        key, ClientConfig(base_url=key)).base_url\n                    client.close()\n                    logger.info(f\"Closed sync HTTP client: {base_url}\")\n                except Exception as e:\n                    logger.error(f\"Error closing sync client: {e}\")\n            self._clients.clear()\n\n            # Close all async clients\n            for key, client in list(self._async_clients.items()):\n                try:\n                    base_url = self._configs.get(\n                        key, ClientConfig(base_url=key)).base_url\n                    await client.aclose()\n                    logger.info(f\"Closed async HTTP client: {base_url}\")\n                except Exception as e:\n                    logger.error(f\"Error closing async client: {e}\")\n            self._async_clients.clear()\n            self._configs.clear()\n\n            logger.info(\"HttpClientManager shutdown complete (async)\")\n\n    def get_stats(self) -> Dict[str, Any]:\n        \"\"\"\n        Get statistics about the HTTP client manager.\n\n        Returns:\n            Dictionary containing client statistics\n        \"\"\"\n        with self._lock:\n            return {\n                \"sync_clients_count\": len(self._clients),\n                \"async_clients_count\": len(self._async_clients),\n                \"configs_count\": len(self._configs),\n                \"clients\": [\n                    {\n                        \"base_url\": config.base_url,\n                        \"verify_ssl\": config.verify_ssl,\n                        \"timeout\": config.timeout,\n                        \"is_async\": key in self._async_clients\n                    }\n                    for key, config in self._configs.items()\n                ]\n            }\n\n\n# Global singleton instance\nhttp_client_manager = HttpClientManager()\n"
  },
  {
    "path": "sdk/nexent/vector_database/__init__.py",
    "content": "\"\"\"Vector database SDK public exports.\"\"\"\n\nfrom .datamate_core import DataMateCore\n\n__all__ = [\"DataMateCore\"]\n"
  },
  {
    "path": "sdk/nexent/vector_database/base.py",
    "content": "from abc import ABC, abstractmethod\nfrom typing import Any, Dict, List, Optional, Callable\n\nfrom ..core.models.embedding_model import BaseEmbedding\n\n\nclass VectorDatabaseCore(ABC):\n    \"\"\"\n    Abstract base class for vector database operations.\n\n    All vector database implementations must inherit from this class and implement\n    all abstract methods. This abstraction enables support for multiple vector\n    database backends (e.g., Elasticsearch, Milvus) while maintaining a consistent\n    interface for the service layer.\n    \"\"\"\n\n    # ---- INDEX MANAGEMENT ----\n\n    @abstractmethod\n    def create_index(self, index_name: str, embedding_dim: Optional[int] = None) -> bool:\n        \"\"\"\n        Create a new vector search index with appropriate mappings.\n\n        Args:\n            index_name: Name of the index to create\n            embedding_dim: Dimension of the embedding vectors (optional, will use model's dim if not provided)\n\n        Returns:\n            bool: True if creation was successful\n        \"\"\"\n        pass\n\n    @abstractmethod\n    def delete_index(self, index_name: str) -> bool:\n        \"\"\"\n        Delete an entire index.\n\n        Args:\n            index_name: Name of the index to delete\n\n        Returns:\n            bool: True if deletion was successful\n        \"\"\"\n        pass\n\n    @abstractmethod\n    def get_user_indices(self, index_pattern: str = \"*\") -> List[str]:\n        \"\"\"\n        Get list of user created indices (excluding system indices).\n\n        Args:\n            index_pattern: Pattern to match index names\n\n        Returns:\n            List of index names\n        \"\"\"\n        pass\n\n    @abstractmethod\n    def check_index_exists(self, index_name: str) -> bool:\n        \"\"\"\n        Check if an index exists.\n\n        Args:\n            index_name: Name of the index to check\n\n        Returns:\n            bool: True if index exists, False otherwise\n        \"\"\"\n        pass\n\n    # ---- DOCUMENT OPERATIONS ----\n\n    @abstractmethod\n    def vectorize_documents(\n        self,\n        index_name: str,\n        embedding_model: BaseEmbedding,\n        documents: List[Dict[str, Any]],\n        batch_size: int = 64,\n        content_field: str = \"content\",\n        embedding_batch_size: int = 10,\n        progress_callback: Optional[Callable[[int, int], None]] = None,\n    ) -> int:\n        \"\"\"\n        Index documents with embeddings.\n\n        Args:\n            index_name: Name of the index to add documents to\n            embedding_model: Model used to generate embeddings for documents\n            documents: List of document dictionaries\n            batch_size: Number of documents to process at once\n            content_field: Field to use for generating embeddings\n\n        Returns:\n            int: Number of documents successfully indexed\n        \"\"\"\n        pass\n\n    @abstractmethod\n    def delete_documents(self, index_name: str, path_or_url: str) -> int:\n        \"\"\"\n        Delete documents based on their path_or_url field.\n\n        Args:\n            index_name: Name of the index to delete documents from\n            path_or_url: The URL or path of the documents to delete\n\n        Returns:\n            int: Number of documents deleted\n        \"\"\"\n        pass\n\n    @abstractmethod\n    def get_index_chunks(\n        self,\n        index_name: str,\n        page: Optional[int] = None,\n        page_size: Optional[int] = None,\n        path_or_url: Optional[str] = None,\n    ) -> Dict[str, Any]:\n        \"\"\"\n        Retrieve chunk records for the specified index with optional pagination.\n\n        Args:\n            index_name: Name of the index to query\n            page: Page number to return (1-based). If None, all chunks are returned.\n            page_size: Page size for pagination. Must be provided together with page.\n            path_or_url: Optional filter for a specific document path or URL.\n\n        Returns:\n            Dict containing chunks, total count, and pagination metadata\n        \"\"\"\n        pass\n\n    @abstractmethod\n    def create_chunk(self, index_name: str, chunk: Dict[str, Any]) -> Dict[str, Any]:\n        \"\"\"\n        Create a single chunk document inside the specified index.\n\n        Args:\n            index_name: Target index name.\n            chunk: Chunk payload to persist.\n\n        Returns:\n            Dict containing the created chunk metadata (including id/result).\n        \"\"\"\n        pass\n\n    @abstractmethod\n    def update_chunk(self, index_name: str, chunk_id: str, chunk_updates: Dict[str, Any]) -> Dict[str, Any]:\n        \"\"\"\n        Update an existing chunk document.\n\n        Args:\n            index_name: Target index name.\n            chunk_id: Identifier of the chunk (ES _id or custom id field).\n            chunk_updates: Fields to update.\n\n        Returns:\n            Dict containing update status information.\n        \"\"\"\n        pass\n\n    @abstractmethod\n    def delete_chunk(self, index_name: str, chunk_id: str) -> bool:\n        \"\"\"\n        Delete a chunk document from the specified index.\n\n        Args:\n            index_name: Target index name.\n            chunk_id: Identifier of the chunk (ES _id or custom id field).\n\n        Returns:\n            bool indicating whether a document was deleted.\n        \"\"\"\n        pass\n\n    @abstractmethod\n    def count_documents(self, index_name: str) -> int:\n        \"\"\"\n        Count the total number of documents in an index.\n\n        Args:\n            index_name: Name of the index to count documents in\n\n        Returns:\n            int: Total number of documents\n        \"\"\"\n        pass\n\n    @abstractmethod\n    def search(self, index_name: str, query: Dict[str, Any]) -> Dict[str, Any]:\n        \"\"\"\n        Execute a search query on an index.\n\n        Args:\n            index_name: Name of the index to search\n            query: Search query dictionary\n\n        Returns:\n            Dict containing search results\n        \"\"\"\n        pass\n\n    @abstractmethod\n    def multi_search(self, body: List[Dict[str, Any]], index_name: str) -> Dict[str, Any]:\n        \"\"\"\n        Execute multiple search queries in a single request.\n\n        Args:\n            body: List of search queries (alternating index and query)\n            index_name: Name of the index to search\n\n        Returns:\n            Dict containing responses for all queries\n        \"\"\"\n        pass\n\n    # ---- SEARCH OPERATIONS ----\n\n    @abstractmethod\n    def accurate_search(self, index_names: List[str], query_text: str, top_k: int = 5) -> List[Dict[str, Any]]:\n        \"\"\"\n        Search for documents using fuzzy text matching across multiple indices.\n\n        Args:\n            index_names: List of index names to search in\n            query_text: The text query to search for\n            top_k: Number of results to return\n\n        Returns:\n            List of search results with scores and document content\n        \"\"\"\n        pass\n\n    @abstractmethod\n    def semantic_search(\n        self, index_names: List[str], query_text: str, embedding_model: BaseEmbedding, top_k: int = 5\n    ) -> List[Dict[str, Any]]:\n        \"\"\"\n        Search for similar documents using vector similarity across multiple indices.\n\n        Args:\n            index_names: List of index names to search in\n            query_text: The text query to search for\n            embedding_model: The embedding model to use\n            top_k: Number of results to return\n\n        Returns:\n            List of search results with scores and document content\n        \"\"\"\n        pass\n\n    @abstractmethod\n    def hybrid_search(\n        self,\n        index_names: List[str],\n        query_text: str,\n        embedding_model: BaseEmbedding,\n        top_k: int = 5,\n        weight_accurate: float = 0.3,\n    ) -> List[Dict[str, Any]]:\n        \"\"\"\n        Hybrid search method, combining accurate matching and semantic search results across multiple indices.\n\n        Args:\n            index_names: List of index names to search in\n            query_text: The text query to search for\n            embedding_model: The embedding model to use\n            top_k: Number of results to return\n            weight_accurate: The weight of the accurate matching score (0-1),\n                           the semantic search weight is 1-weight_accurate\n\n        Returns:\n            List of search results sorted by combined score\n        \"\"\"\n        pass\n\n    # ---- STATISTICS AND MONITORING ----\n\n    @abstractmethod\n    def get_documents_detail(self, index_name: str) -> List[Dict[str, Any]]:\n        \"\"\"\n        Get a list of unique source files with metadata.\n\n        Args:\n            index_name: Name of the index to query\n\n        Returns:\n            List of dictionaries, each containing:\n                - path_or_url: Source identifier\n                - filename: Optional display name\n                - file_size: Size in bytes\n                - create_time: ISO timestamp string\n        \"\"\"\n        pass\n\n    @abstractmethod\n    def get_indices_detail(\n        self, index_names: List[str], embedding_dim: Optional[int] = None\n    ) -> Dict[str, Dict[str, Dict[str, Any]]]:\n        \"\"\"\n        Get formatted statistics for multiple indices.\n\n        Args:\n            index_names: List of index names to get stats for\n            embedding_dim: Optional embedding dimension (for display purposes)\n\n        Returns:\n            Dict mapping each index name to:\n                - base_info: Dict with doc_count, chunk_count, store_size,\n                  process_source, embedding_model, embedding_dim,\n                  creation_date, update_date\n                - search_performance: Dict with total_search_count, hit_count\n        \"\"\"\n        pass\n"
  },
  {
    "path": "sdk/nexent/vector_database/datamate_core.py",
    "content": "\"\"\"\nDataMate adapter implementing the VectorDatabaseCore interface.\n\nNot all operations are supported by the DataMate HTTP API. Unsupported methods\nraise NotImplementedError to make limitations explicit.\n\"\"\"\nimport logging\nfrom datetime import datetime\nfrom typing import Any, Dict, List, Optional, Callable, Tuple\n\nfrom .base import VectorDatabaseCore\nfrom ..datamate.datamate_client import DataMateClient\nfrom ..core.models.embedding_model import BaseEmbedding\n\nlogger = logging.getLogger(\"datamate_core\")\n\n\ndef _parse_timestamp(timestamp: Any, default: int = 0) -> int:\n    \"\"\"\n    Parse timestamp from various formats to milliseconds since epoch.\n\n    Args:\n        timestamp: Timestamp value (int, str, or None)\n        default: Default value if parsing fails\n\n    Returns:\n        Timestamp in milliseconds since epoch\n    \"\"\"\n    if timestamp is None:\n        return default\n\n    if isinstance(timestamp, int):\n        # If already an int, assume it's in milliseconds (or seconds if < 1e10)\n        if timestamp < 1e10:\n            return timestamp * 1000\n        return timestamp\n\n    if isinstance(timestamp, str):\n        try:\n            # Try ISO format\n            dt = datetime.fromisoformat(timestamp.replace(\"Z\", \"+00:00\"))\n            return int(dt.timestamp() * 1000)\n        except Exception:\n            try:\n                # Try as integer string\n                ts_int = int(timestamp)\n                if ts_int < 1e10:\n                    return ts_int * 1000\n                return ts_int\n            except Exception:\n                return default\n\n    return default\n\n\nclass DataMateCore(VectorDatabaseCore):\n    \"\"\"VectorDatabaseCore implementation backed by the DataMate REST API.\"\"\"\n\n    def __init__(self, base_url: str, timeout: float = 5.0, verify_ssl: bool = True):\n        self.client = DataMateClient(\n            base_url=base_url, timeout=timeout, verify_ssl=verify_ssl)\n\n    # ---- INDEX MANAGEMENT ----\n    def create_index(self, index_name: str, embedding_dim: Optional[int] = None) -> bool:\n        \"\"\"DataMate API does not support index creation via SDK.\"\"\"\n        _ = embedding_dim\n        raise NotImplementedError(\n            \"DataMate SDK does not support creating indices.\")\n\n    def delete_index(self, index_name: str) -> bool:\n        \"\"\"DataMate API does not support deleting indices via SDK.\"\"\"\n        raise NotImplementedError(\n            \"DataMate SDK does not support deleting indices.\")\n\n    def get_user_indices(self, index_pattern: str = \"*\") -> List[str]:\n        \"\"\"Return DataMate knowledge base IDs as index identifiers.\"\"\"\n        _ = index_pattern\n        knowledge_bases = self.client.list_knowledge_bases()\n        return [str(kb.get(\"id\")) for kb in knowledge_bases if kb.get(\"id\") is not None and kb.get(\"type\") == \"DOCUMENT\"]\n\n    def check_index_exists(self, index_name: str) -> bool:\n        \"\"\"Check existence by knowledge base id.\"\"\"\n        return index_name in self.get_user_indices()\n\n    # ---- DOCUMENT OPERATIONS ----\n    def vectorize_documents(\n            self,\n            index_name: str,\n            embedding_model: BaseEmbedding,\n            documents: List[Dict[str, Any]],\n            batch_size: int = 64,\n            content_field: str = \"content\",\n            embedding_batch_size: int = 10,\n            progress_callback: Optional[Callable[[int, int], None]] = None,\n    ) -> int:\n        _ = (\n            index_name,\n            embedding_model,\n            documents,\n            batch_size,\n            content_field,\n            embedding_batch_size,\n            progress_callback,\n        )\n        raise NotImplementedError(\n            \"DataMate SDK does not support direct document ingestion.\")\n\n    def delete_documents(self, index_name: str, path_or_url: str) -> int:\n        _ = (index_name, path_or_url)\n        raise NotImplementedError(\n            \"DataMate SDK does not support deleting documents.\")\n\n    def get_index_chunks(\n            self,\n            index_name: str,\n            page: Optional[int] = None,\n            page_size: Optional[int] = None,\n            path_or_url: Optional[str] = None,\n    ) -> Dict[str, Any]:\n        _ = (page, page_size, path_or_url)\n        files = self.client.get_knowledge_base_files(index_name)\n        return {\n            \"chunks\": files,\n            \"total\": len(files),\n            \"page\": page,\n            \"page_size\": page_size,\n        }\n\n    def create_chunk(self, index_name: str, chunk: Dict[str, Any]) -> Dict[str, Any]:\n        _ = (index_name, chunk)\n        raise NotImplementedError(\n            \"DataMate SDK does not support creating individual chunks.\")\n\n    def update_chunk(self, index_name: str, chunk_id: str, chunk_updates: Dict[str, Any]) -> Dict[str, Any]:\n        _ = (index_name, chunk_id, chunk_updates)\n        raise NotImplementedError(\n            \"DataMate SDK does not support updating chunks.\")\n\n    def delete_chunk(self, index_name: str, chunk_id: str) -> bool:\n        _ = (index_name, chunk_id)\n        raise NotImplementedError(\n            \"DataMate SDK does not support deleting chunks.\")\n\n    def count_documents(self, index_name: str) -> int:\n        files = self.client.get_knowledge_base_files(index_name)\n        return len(files)\n\n    # ---- SEARCH OPERATIONS ----\n    def search(self, index_name: str, query: Dict[str, Any]) -> Dict[str, Any]:\n        _ = (index_name, query)\n        raise NotImplementedError(\n            \"DataMate SDK does not support raw search API.\")\n\n    def multi_search(self, body: List[Dict[str, Any]], index_name: str) -> Dict[str, Any]:\n        _ = (body, index_name)\n        raise NotImplementedError(\n            \"DataMate SDK does not support multi search API.\")\n\n    def accurate_search(self, index_names: List[str], query_text: str, top_k: int = 5) -> List[Dict[str, Any]]:\n        _ = (index_names, query_text, top_k)\n        raise NotImplementedError(\n            \"DataMate SDK does not support accurate search API.\")\n\n    def semantic_search(\n            self, index_names: List[str], query_text: str, embedding_model: BaseEmbedding, top_k: int = 5\n    ) -> List[Dict[str, Any]]:\n        _ = (index_names, query_text, embedding_model, top_k)\n        raise NotImplementedError(\n            \"DataMate SDK does not support semantic search API.\")\n\n    # ---- SEARCH OPERATIONS ----\n    def hybrid_search(\n            self,\n            index_names: List[str],\n            query_text: str,\n            embedding_model: Optional[BaseEmbedding] = None,\n            top_k: int = 10,\n            weight_accurate: float = 0.2,\n    ) -> List[Dict[str, Any]]:\n        \"\"\"\n        Retrieve content in DataMate knowledge bases.\n\n        Args:\n            index_names: List of knowledge base IDs to retrieve\n            query_text: Retrieve query text\n            embedding_model: Optional embedding model\n            top_k: Maximum number of results to return (default: 10)\n            weight_accurate: Similarity threshold (default: 0.2)\n\n        Returns:\n            List of retrieve result dictionaries\n\n        Raises:\n            RuntimeError: If the API request fails\n        \"\"\"\n        _ = embedding_model  # Explicitly ignored\n        retrieve_knowledge = self.client.retrieve_knowledge_base(\n            query_text, index_names, top_k, weight_accurate)\n        return retrieve_knowledge\n\n    # ---- STATISTICS AND MONITORING ----\n    def get_documents_detail(self, index_name: str) -> List[Dict[str, Any]]:\n        files_list = self.client.get_knowledge_base_files(index_name)\n        results = []\n        for info in files_list:\n            file_info = {\n                \"path_or_url\": info.get(\"path_or_url\", \"\"),\n                \"file\": info.get(\"fileName\", \"\"),\n                \"file_size\": info.get(\"fileSize\", \"\"),\n                \"create_time\": _parse_timestamp(info.get(\"createdAt\", \"\")),\n                \"chunk_count\": info.get(\"chunkCount\", \"\"),\n                \"status\": \"COMPLETED\",\n                \"latest_task_id\": \"\",\n                \"error_reason\": info.get(\"errMsg\", \"\"),\n                \"has_error_info\": False,\n                \"processed_chunk_num\": None,\n                \"total_chunk_num\": None,\n                \"chunks\": []\n            }\n            results.append(file_info)\n        return results\n\n    def get_indices_detail(self, index_names: List[str], embedding_dim: Optional[int] = None) -> Tuple[Dict[\n            str, Dict[str, Any]], List[str]]:\n        details: Dict[str, Dict[str, Any]] = {}\n        knowledge_base_names = []\n        for kb_id in index_names:\n            try:\n                # Get knowledge base info and files\n                kb_info = self.client.get_knowledge_base_info(kb_id)\n\n                # Extract data from knowledge base info\n                # Number of unique documents (files)\n                doc_count = kb_info.get(\"fileCount\")\n                knowledge_base_name = kb_info.get(\"name\")\n                knowledge_base_names.append(knowledge_base_name)\n                chunk_count = kb_info.get(\"chunkCount\")\n                store_size = kb_info.get(\"storeSize\", \"\")\n                process_source = kb_info.get(\"processSource\", \"Unstructured\")\n                embedding_model = kb_info.get(\"embedding\").get(\"modelName\")\n\n                # Parse timestamps\n                creation_date = _parse_timestamp(kb_info.get(\"createdAt\"))\n                update_date = _parse_timestamp(kb_info.get(\"updatedAt\"))\n\n                # Build base_info dict\n                base_info = {\n                    \"doc_count\": doc_count,\n                    \"chunk_count\": chunk_count,\n                    \"store_size\": str(store_size),\n                    \"process_source\": str(process_source),\n                    \"embedding_model\": str(embedding_model),\n                    \"embedding_dim\": embedding_dim or 1024,\n                    \"creation_date\": creation_date,\n                    \"update_date\": update_date,\n                }\n\n                # Build performance dict (DataMate API may not provide search stats)\n                performance = {\"total_search_count\": 0, \"hit_count\": 0}\n\n                details[kb_id] = {\"base_info\": base_info,\n                                  \"search_performance\": performance}\n            except Exception as exc:\n                logger.error(\n                    f\"Error getting stats for knowledge base {kb_id}: {str(exc)}\")\n                details[kb_id] = {\"error\": str(exc)}\n        return details, knowledge_base_names\n"
  },
  {
    "path": "sdk/nexent/vector_database/elasticsearch_core.py",
    "content": "import json\nimport logging\nimport threading\nimport time\nfrom contextlib import contextmanager\nfrom dataclasses import dataclass\nfrom datetime import datetime, timedelta\nfrom typing import Any, Callable, Dict, List, Optional\n\nfrom elasticsearch import Elasticsearch, exceptions\n\nfrom ..core.models.embedding_model import BaseEmbedding\nfrom ..core.nlp.tokenizer import calculate_term_weights\nfrom .base import VectorDatabaseCore\nfrom .utils import build_weighted_query, format_size\n\n\nlogger = logging.getLogger(\"elasticsearch_core\")\n\n\n@dataclass\nclass BulkOperation:\n    \"\"\"Bulk operation status tracking\"\"\"\n\n    index_name: str\n    operation_id: str\n    start_time: datetime\n    expected_duration: timedelta\n\n\nSCROLL_TTL = \"2m\"\nDEFAULT_SCROLL_SIZE = 1000\n\n\nclass ElasticSearchCore(VectorDatabaseCore):\n    \"\"\"\n    Core class for Elasticsearch operations including:\n    - Index management\n    - Document insertion with embeddings\n    - Document deletion\n    - Accurate text search\n    - Semantic vector search\n    - Hybrid search\n    - Index statistics\n    \"\"\"\n\n    def __init__(\n        self,\n        host: Optional[str],\n        api_key: Optional[str],\n        verify_certs: bool = False,\n        ssl_show_warn: bool = False,\n    ):\n        \"\"\"\n        Initialize ElasticSearchCore with Elasticsearch client and JinaEmbedding model.\n\n        Args:\n            host: Elasticsearch host URL (defaults to env variable)\n            api_key: Elasticsearch API key (defaults to env variable)\n            verify_certs: Whether to verify SSL certificates\n            ssl_show_warn: Whether to show SSL warnings\n        \"\"\"\n        # Get credentials from environment if not provided\n        self.host = host\n        self.api_key = api_key\n\n        # Initialize Elasticsearch client with HTTPS support\n        self.client = Elasticsearch(\n            self.host,\n            api_key=self.api_key,\n            verify_certs=verify_certs,\n            ssl_show_warn=ssl_show_warn,\n            request_timeout=20,\n            max_retries=3,  # Reduce retries for faster failure detection\n            retry_on_timeout=True,\n            retry_on_status=[502, 503, 504],  # Retry on these status codes,\n        )\n\n        # Initialize embedding model\n        self._bulk_operations: Dict[str, List[BulkOperation]] = {}\n        self._settings_lock = threading.Lock()\n        self._operation_counter = 0\n\n        # Embedding API limits\n        self.max_texts_per_batch = 2048\n        self.max_tokens_per_text = 8192\n        self.max_total_tokens = 100000\n        self.max_retries = 3  # Number of retries for failed embedding batches\n\n    # ---- INDEX MANAGEMENT ----\n\n    def create_index(self, index_name: str, embedding_dim: Optional[int] = None) -> bool:\n        \"\"\"\n        Create a new vector search index with appropriate mappings in a celery-friendly way.\n\n        Args:\n            index_name: Name of the index to create\n            embedding_dim: Dimension of the embedding vectors (optional, will use model's dim if not provided)\n\n        Returns:\n            bool: True if creation was successful\n        \"\"\"\n        try:\n            # Use provided embedding_dim or get from model\n            actual_embedding_dim = embedding_dim or 1024\n\n            # Use balanced fixed settings to avoid dynamic adjustment\n            settings = {\n                \"number_of_shards\": 1,\n                \"number_of_replicas\": 0,\n                \"refresh_interval\": \"5s\",\n                \"index\": {\n                    \"max_result_window\": 50000,\n                    \"translog\": {\"durability\": \"async\", \"sync_interval\": \"5s\"},\n                    \"write\": {\"wait_for_active_shards\": \"1\"},\n                    # Memory optimization for bulk operations\n                    \"merge\": {\"policy\": {\"max_merge_at_once\": 5, \"segments_per_tier\": 5}},\n                },\n            }\n\n            # Check if index already exists\n            if self.client.indices.exists(index=index_name):\n                logger.info(\n                    f\"Index {index_name} already exists, skipping creation\")\n                self._ensure_index_ready(index_name)\n                return True\n\n            # Define the mapping with vector field\n            mappings = {\n                \"properties\": {\n                    \"id\": {\"type\": \"keyword\"},\n                    \"title\": {\"type\": \"text\"},\n                    \"filename\": {\"type\": \"keyword\"},\n                    \"path_or_url\": {\"type\": \"keyword\"},\n                    \"language\": {\"type\": \"keyword\"},\n                    \"author\": {\"type\": \"keyword\"},\n                    \"date\": {\"type\": \"date\"},\n                    \"content\": {\"type\": \"text\"},\n                    \"process_source\": {\"type\": \"keyword\"},\n                    \"embedding_model_name\": {\"type\": \"keyword\"},\n                    \"file_size\": {\"type\": \"long\"},\n                    \"create_time\": {\"type\": \"date\"},\n                    \"embedding\": {\n                        \"type\": \"dense_vector\",\n                        \"dims\": actual_embedding_dim,\n                        \"index\": \"true\",\n                        \"similarity\": \"cosine\",\n                    },\n                }\n            }\n\n            # Create the index with the defined mappings\n            self.client.indices.create(\n                index=index_name, mappings=mappings, settings=settings, wait_for_active_shards=\"1\"\n            )\n\n            # Force refresh to ensure visibility\n            self._force_refresh_with_retry(index_name)\n            self._ensure_index_ready(index_name)\n\n            logger.info(f\"Successfully created index: {index_name}\")\n            return True\n\n        except exceptions.RequestError as e:\n            # Handle the case where index already exists (error 400)\n            if \"resource_already_exists_exception\" in str(e):\n                logger.info(\n                    f\"Index {index_name} already exists, skipping creation\")\n                self._ensure_index_ready(index_name)\n                return True\n            logger.error(f\"Error creating index: {str(e)}\")\n            return False\n        except Exception as e:\n            logger.error(f\"Error creating index: {str(e)}\")\n            return False\n\n    def _force_refresh_with_retry(self, index_name: str, max_retries: int = 3) -> bool:\n        \"\"\"\n        Force refresh with retry - synchronous version\n        \"\"\"\n        for attempt in range(max_retries):\n            try:\n                self.client.indices.refresh(index=index_name)\n                return True\n            except Exception as e:\n                if attempt < max_retries - 1:\n                    time.sleep(0.5 * (attempt + 1))\n                    continue\n                logger.error(f\"Failed to refresh index {index_name}: {e}\")\n                return False\n        return False\n\n    def _ensure_index_ready(self, index_name: str, timeout: int = 10) -> bool:\n        \"\"\"\n        Ensure index is ready, avoid 503 error - synchronous version\n        \"\"\"\n        start_time = time.time()\n\n        while time.time() - start_time < timeout:\n            try:\n                # Check cluster health\n                health = self.client.cluster.health(\n                    index=index_name, wait_for_status=\"yellow\", timeout=\"1s\")\n\n                if health[\"status\"] in [\"green\", \"yellow\"]:\n                    # Double check: try simple query\n                    self.client.search(index=index_name, body={\n                                       \"query\": {\"match_all\": {}}, \"size\": 0})\n                    return True\n\n            except Exception:\n                time.sleep(0.1)\n\n        logger.warning(\n            f\"Index {index_name} may not be fully ready after {timeout}s\")\n        return False\n\n    @contextmanager\n    def bulk_operation_context(self, index_name: str, estimated_duration: int = 60):\n        \"\"\"\n        Celery-friendly context manager - using threading.Lock\n        \"\"\"\n        operation_id = f\"bulk_{self._operation_counter}_{threading.current_thread().name}\"\n        self._operation_counter += 1\n\n        operation = BulkOperation(\n            index_name=index_name,\n            operation_id=operation_id,\n            start_time=datetime.now(),\n            expected_duration=timedelta(seconds=estimated_duration),\n        )\n\n        with self._settings_lock:\n            # Record current operation\n            if index_name not in self._bulk_operations:\n                self._bulk_operations[index_name] = []\n            self._bulk_operations[index_name].append(operation)\n\n            # If this is the first bulk operation, adjust settings\n            if len(self._bulk_operations[index_name]) == 1:\n                self._apply_bulk_settings(index_name)\n\n        try:\n            yield operation_id\n        finally:\n            with self._settings_lock:\n                # Remove operation record\n                self._bulk_operations[index_name] = [\n                    op for op in self._bulk_operations[index_name] if op.operation_id != operation_id\n                ]\n\n                # If there are no other bulk operations, restore settings\n                if not self._bulk_operations[index_name]:\n                    self._restore_normal_settings(index_name)\n                    del self._bulk_operations[index_name]\n\n    def _apply_bulk_settings(self, index_name: str):\n        \"\"\"Apply bulk operation optimization settings\"\"\"\n        try:\n            self.client.indices.put_settings(\n                index=index_name,\n                body={\"refresh_interval\": \"30s\", \"translog.durability\": \"async\",\n                      \"translog.sync_interval\": \"10s\"},\n            )\n            logger.debug(f\"Applied bulk settings to {index_name}\")\n        except Exception as e:\n            logger.warning(f\"Failed to apply bulk settings: {e}\")\n\n    def _restore_normal_settings(self, index_name: str):\n        \"\"\"Restore normal settings\"\"\"\n        try:\n            self.client.indices.put_settings(\n                index=index_name, body={\n                    \"refresh_interval\": \"5s\", \"translog.durability\": \"request\"}\n            )\n            # Refresh after restoration\n            self._force_refresh_with_retry(index_name)\n            logger.info(f\"Restored normal settings for {index_name}\")\n        except Exception as e:\n            logger.warning(f\"Failed to restore settings: {e}\")\n\n    def delete_index(self, index_name: str) -> bool:\n        \"\"\"\n        Delete an entire index\n\n        Args:\n            index_name: Name of the index to delete\n\n        Returns:\n            bool: True if deletion was successful\n        \"\"\"\n        try:\n            self.client.indices.delete(index=index_name)\n            logger.info(f\"Successfully deleted the index: {index_name}\")\n            return True\n        except exceptions.NotFoundError:\n            logger.info(f\"Index {index_name} not found\")\n            return False\n        except Exception as e:\n            logger.error(f\"Error deleting index: {str(e)}\")\n            return False\n\n    def get_user_indices(self, index_pattern: str = \"*\") -> List[str]:\n        \"\"\"\n        Get list of user created indices (excluding system indices)\n\n        Args:\n            index_pattern: Pattern to match index names\n\n        Returns:\n            List of index names\n        \"\"\"\n        try:\n            indices = self.client.indices.get_alias(index=index_pattern)\n            # Filter out system indices (starting with '.')\n            return [index_name for index_name in indices.keys() if not index_name.startswith(\".\")]\n        except Exception as e:\n            logger.error(f\"Error getting user indices: {str(e)}\")\n            return []\n\n    def check_index_exists(self, index_name: str) -> bool:\n        \"\"\"\n        Check if an index exists.\n\n        Args:\n            index_name: Name of the index to check\n\n        Returns:\n            bool: True if index exists, False otherwise\n        \"\"\"\n        return self.client.indices.exists(index=index_name)\n\n    # ---- DOCUMENT OPERATIONS ----\n\n    def vectorize_documents(\n        self,\n        index_name: str,\n        embedding_model: BaseEmbedding,\n        documents: List[Dict[str, Any]],\n        batch_size: int = 64,\n        content_field: str = \"content\",\n        embedding_batch_size: int = 10,\n        progress_callback: Optional[Callable[[int, int], None]] = None,\n    ) -> int:\n        \"\"\"\n        Smart batch insertion - automatically selecting strategy based on data size\n\n        Args:\n            index_name: Name of the index to add documents to\n            embedding_model: Model used to generate embeddings for documents\n            documents: List of document dictionaries\n            batch_size: Number of documents to process at once\n            content_field: Field to use for generating embeddings\n            embedding_batch_size: Number of documents to send to embedding API at once (default: 10)\n\n        Returns:\n            int: Number of documents successfully indexed\n        \"\"\"\n        logger.info(f\"Indexing {len(documents)} chunks to {index_name}\")\n\n        # Handle empty documents list\n        if not documents:\n            return 0\n\n        # Smart strategy selection\n        total_docs = len(documents)\n        if total_docs < 64:\n            # Small data: direct insertion, using wait_for refresh\n            return self._small_batch_insert(\n                index_name=index_name,\n                documents=documents,\n                content_field=content_field,\n                embedding_model=embedding_model,\n                progress_callback=progress_callback,\n            )\n        else:\n            # Large data: using context manager\n            estimated_duration = max(60, total_docs // 100)\n            with self.bulk_operation_context(index_name, estimated_duration):\n                return self._large_batch_insert(\n                    index_name=index_name,\n                    documents=documents,\n                    batch_size=batch_size,\n                    content_field=content_field,\n                    embedding_model=embedding_model,\n                    embedding_batch_size=embedding_batch_size,\n                    progress_callback=progress_callback,\n                )\n\n    def _small_batch_insert(\n        self,\n        index_name: str,\n        documents: List[Dict[str, Any]],\n        content_field: str,\n        embedding_model: BaseEmbedding,\n        progress_callback: Optional[Callable[[int, int], None]] = None,\n    ) -> int:\n        \"\"\"Small batch insertion: real-time\"\"\"\n        try:\n            # Preprocess documents\n            processed_docs = self._preprocess_documents(\n                documents, content_field)\n\n            # Get embeddings\n            inputs = [doc[content_field] for doc in processed_docs]\n            embeddings = embedding_model.get_embeddings(inputs)\n\n            # Prepare bulk operations\n            operations = []\n            for doc, embedding in zip(processed_docs, embeddings):\n                operations.append({\"index\": {\"_index\": index_name}})\n                doc[\"embedding\"] = embedding\n                if \"embedding_model_name\" not in doc:\n                    doc[\"embedding_model_name\"] = embedding_model.embedding_model_name\n                operations.append(doc)\n\n            # Execute bulk insertion, wait for refresh to complete\n            response = self.client.bulk(\n                index=index_name, operations=operations, refresh=\"wait_for\")\n\n            # Handle errors\n            self._handle_bulk_errors(response)\n\n            if progress_callback:\n                try:\n                    progress_callback(len(documents), len(documents))\n                except Exception as e:\n                    logger.warning(\n                        f\"[VECTORIZE] Progress callback failed in small batch: {str(e)}\")\n\n            logger.info(\n                f\"Small batch insert completed: {len(documents)} chunks indexed.\")\n            return len(documents)\n\n        except Exception as e:\n            logger.error(f\"Small batch insert failed: {e}\")\n            raise\n\n    def _large_batch_insert(\n        self,\n        index_name: str,\n        documents: List[Dict[str, Any]],\n        batch_size: int,\n        content_field: str,\n        embedding_model: BaseEmbedding,\n        embedding_batch_size: int = 10,\n        progress_callback: Optional[Callable[[int, int], None]] = None,\n    ) -> int:\n        \"\"\"\n        Large batch insertion with sub-batching for embedding API.\n        Splits large document batches into smaller chunks to respect embedding API limits before bulk inserting into Elasticsearch.\n        \"\"\"\n        try:\n            processed_docs = self._preprocess_documents(\n                documents, content_field)\n            total_indexed = 0\n            total_vectorized = 0\n            total_docs = len(processed_docs)\n            es_total_batches = (total_docs + batch_size - 1) // batch_size\n            start_time = time.time()\n\n            logger.info(\n                f\"=== [INDEXING START] Total chunks: {total_docs}, ES batch size: {batch_size}, Total ES batches: {es_total_batches} ===\"\n            )\n\n            for i in range(0, total_docs, batch_size):\n                es_batch = processed_docs[i: i + batch_size]\n                es_batch_num = i // batch_size + 1\n                es_batch_start_time = time.time()\n\n                # Store documents and their embeddings for this Elasticsearch batch\n                doc_embedding_pairs = []\n\n                # Sub-batch for embedding API\n                # Use the provided embedding_batch_size (default 10) to reduce provider pressure\n                for j in range(0, len(es_batch), embedding_batch_size):\n                    embedding_sub_batch = es_batch[j: j + embedding_batch_size]\n                    # Retry logic for embedding API call (3 retries, 1s delay)\n                    # Note: embedding_model.get_embeddings() already has built-in retries with exponential backoff\n                    # This outer retry handles additional failures\n                    max_retries = 3\n                    retry_delay = 1.0\n                    success = False\n\n                    for retry_attempt in range(max_retries):\n                        try:\n                            inputs = [doc[content_field]\n                                      for doc in embedding_sub_batch]\n                            embeddings = embedding_model.get_embeddings(inputs)\n\n                            for doc, embedding in zip(embedding_sub_batch, embeddings):\n                                doc_embedding_pairs.append((doc, embedding))\n\n                            success = True\n                            total_vectorized += len(embedding_sub_batch)\n                            if progress_callback:\n                                try:\n                                    progress_callback(\n                                        total_vectorized, total_docs)\n                                    logger.debug(\n                                        f\"[VECTORIZE] Progress callback (embedding) {total_vectorized}/{total_docs} (ES batch {es_batch_num}/{es_total_batches}, sub-batch start {j})\")\n                                except Exception as callback_err:\n                                    logger.warning(\n                                        f\"[VECTORIZE] Progress callback failed during embedding: {callback_err}\")\n                            break  # Success, exit retry loop\n\n                        except Exception as e:\n                            if retry_attempt < max_retries - 1:\n                                logger.warning(\n                                    f\"Embedding API error (attempt {retry_attempt + 1}/{max_retries}): {e}, ES batch num: {es_batch_num}, sub-batch start: {j}, size: {len(embedding_sub_batch)}. Retrying in {retry_delay}s...\"\n                                )\n                                time.sleep(retry_delay)\n                            else:\n                                logger.error(\n                                    f\"Embedding API error after {max_retries} attempts: {e}, ES batch num: {es_batch_num}, sub-batch start: {j}, size: {len(embedding_sub_batch)}\"\n                                )\n\n                    if not success:\n                        # Skip this sub-batch after all retries failed\n                        continue\n\n                # Perform a single bulk insert for the entire Elasticsearch batch\n                if not doc_embedding_pairs:\n                    logger.warning(\n                        f\"No documents with embeddings to index for ES batch {es_batch_num}\")\n                    continue\n\n                operations = []\n                for doc, embedding in doc_embedding_pairs:\n                    operations.append({\"index\": {\"_index\": index_name}})\n                    doc[\"embedding\"] = embedding\n                    if \"embedding_model_name\" not in doc:\n                        doc[\"embedding_model_name\"] = getattr(\n                            embedding_model, \"embedding_model_name\", \"unknown\")\n                    operations.append(doc)\n\n                try:\n                    response = self.client.bulk(\n                        index=index_name, operations=operations, refresh=False)\n                    self._handle_bulk_errors(response)\n                    total_indexed += len(doc_embedding_pairs)\n                    es_batch_elapsed = time.time() - es_batch_start_time\n                    logger.info(\n                        f\"[ES BATCH {es_batch_num}/{es_total_batches}] Indexed {len(doc_embedding_pairs)} documents in {es_batch_elapsed:.2f}s. Total progress: {total_indexed}/{total_docs}\"\n                    )\n\n                except Exception as e:\n                    logger.error(\n                        f\"Bulk insert error: {e}, ES batch num: {es_batch_num}\")\n                    raise\n\n            self._force_refresh_with_retry(index_name)\n            total_elapsed = time.time() - start_time\n            logger.info(\n                f\"=== [INDEXING COMPLETE] Successfully indexed {total_indexed}/{total_docs} chunks in {total_elapsed:.2f}s (avg: {total_elapsed / es_total_batches:.2f}s/batch) ===\"\n            )\n            return total_indexed\n        except Exception as e:\n            logger.error(f\"Large batch insert failed: {e}\")\n            raise\n\n    def _preprocess_documents(self, documents: List[Dict[str, Any]], content_field: str) -> List[Dict[str, Any]]:\n        \"\"\"Ensure all documents have the required fields and set default values\"\"\"\n        current_time = time.strftime(\"%Y-%m-%dT%H:%M:%S\", time.gmtime())\n        current_date = time.strftime(\"%Y-%m-%d\", time.gmtime())\n\n        processed_docs = []\n        for doc in documents:\n            # Create a copy of the document to avoid modifying the original data\n            doc_copy = doc.copy()\n\n            # Set create_time if not present\n            if not doc_copy.get(\"create_time\"):\n                doc_copy[\"create_time\"] = current_time\n\n            if not doc_copy.get(\"date\"):\n                doc_copy[\"date\"] = current_date\n\n            # Ensure file_size is present (default to 0 if not provided)\n            if not doc_copy.get(\"file_size\"):\n                logger.warning(f\"File size not found in {doc_copy}\")\n                doc_copy[\"file_size\"] = 0\n\n            # Ensure process_source is present\n            if not doc_copy.get(\"process_source\"):\n                doc_copy[\"process_source\"] = \"Unstructured\"\n\n            # Ensure all documents have an ID\n            if not doc_copy.get(\"id\"):\n                doc_copy[\"id\"] = f\"{int(time.time())}_{hash(doc_copy[content_field])}\"[\n                    :20]\n\n            processed_docs.append(doc_copy)\n\n        return processed_docs\n\n    def _handle_bulk_errors(self, response: Dict[str, Any]) -> None:\n        \"\"\"Handle bulk operation errors\"\"\"\n        if response.get(\"errors\"):\n            for item in response[\"items\"]:\n                if \"error\" not in item.get(\"index\", {}):\n                    continue\n\n                error_info = item[\"index\"][\"error\"]\n                error_type = error_info.get(\"type\")\n                error_reason = error_info.get(\"reason\")\n                error_cause = error_info.get(\"caused_by\", {})\n\n                if error_type == \"version_conflict_engine_exception\":\n                    # ignore version conflict\n                    continue\n\n                logger.error(f\"FATAL ERROR {error_type}: {error_reason}\")\n                if error_cause:\n                    logger.error(\n                        f\"Caused By: {error_cause.get('type')}: {error_cause.get('reason')}\"\n                    )\n\n                reason_text = error_reason or \"Unknown bulk indexing error\"\n                cause_reason = error_cause.get(\"reason\")\n                if cause_reason:\n                    reason_text = f\"{reason_text}; caused by: {cause_reason}\"\n\n                # Derive a precise error code without chaining through es_bulk_failed\n                if \"dense_vector\" in reason_text and \"different number of dimensions\" in reason_text:\n                    error_code = \"es_dim_mismatch\"\n                else:\n                    error_code = \"es_bulk_failed\"\n\n                raise Exception(\n                    json.dumps(\n                        {\n                            \"message\": f\"Bulk indexing failed: {reason_text}\",\n                            \"error_code\": error_code,\n                        },\n                        ensure_ascii=False,\n                    )\n                )\n\n    def delete_documents(self, index_name: str, path_or_url: str) -> int:\n        \"\"\"\n        Delete documents based on their path_or_url field\n\n        Args:\n            index_name: Name of the index to delete documents from\n            path_or_url: The URL or path of the documents to delete\n\n        Returns:\n            int: Number of documents deleted\n        \"\"\"\n        try:\n            result = self.client.delete_by_query(\n                index=index_name, body={\n                    \"query\": {\"term\": {\"path_or_url\": path_or_url}}}\n            )\n            logger.info(\n                f\"Successfully deleted {result['deleted']} documents with path_or_url: {path_or_url} from index: {index_name}\"\n            )\n            return result[\"deleted\"]\n        except Exception as e:\n            logger.error(f\"Error deleting documents: {str(e)}\")\n            return 0\n\n    def count_documents(self, index_name: str) -> int:\n        \"\"\"\n        Count the total number of documents in an index.\n\n        Args:\n            index_name: Name of the index to count documents in\n\n        Returns:\n            int: Total number of documents\n        \"\"\"\n        try:\n            count_response = self.client.count(index=index_name)\n            return count_response[\"count\"]\n        except Exception as e:\n            logger.error(f\"Error counting documents: {str(e)}\")\n            return 0\n\n    def get_index_chunks(\n        self,\n        index_name: str,\n        page: Optional[int] = None,\n        page_size: Optional[int] = None,\n        path_or_url: Optional[str] = None,\n    ) -> Dict[str, Any]:\n        \"\"\"\n        Retrieve chunk records for the specified index with optional pagination.\n\n        Args:\n            index_name: Name of the index to query\n            page: Page number (1-based). Provide together with page_size.\n            page_size: Number of records per page. Provide together with page.\n            path_or_url: Optional path_or_url filter.\n\n        Returns:\n            Dictionary containing chunks, total count, page, and page_size\n        \"\"\"\n        chunks: List[Dict[str, Any]] = []\n        total = 0\n        scroll_id: Optional[str] = None\n        paginate = page is not None and page_size is not None\n        result_page = page if paginate else None\n        result_page_size = page_size if paginate else None\n\n        try:\n            query: Dict[str, Any] = {\"match_all\": {}}\n            if path_or_url:\n                query = {\"term\": {\"path_or_url\": path_or_url}}\n\n            count_response = self.client.count(\n                index=index_name,\n                body={\"query\": query},\n            )\n            total = count_response.get(\"count\", 0)\n\n            if total == 0:\n                return {\n                    \"chunks\": [],\n                    \"total\": 0,\n                    \"page\": result_page,\n                    \"page_size\": result_page_size,\n                }\n\n            source_filter = {\"_source\": {\"excludes\": [\"embedding\"]}}\n\n            if paginate:\n                safe_page = max(page, 1)\n                safe_page_size = max(page_size, 1)\n                from_index = (safe_page - 1) * safe_page_size\n                response = self.client.search(\n                    index=index_name,\n                    body={\n                        \"query\": query,\n                        **source_filter,\n                    },\n                    from_=from_index,\n                    size=safe_page_size,\n                )\n                hits = response.get(\"hits\", {}).get(\"hits\", [])\n                for hit in hits:\n                    chunk = hit.get(\"_source\", {}).copy()\n                    if \"id\" not in chunk:\n                        chunk[\"id\"] = hit.get(\"_id\")\n                    chunks.append(chunk)\n            else:\n                response = self.client.search(\n                    index=index_name,\n                    body={\n                        \"query\": query,\n                        **source_filter,\n                    },\n                    size=DEFAULT_SCROLL_SIZE,\n                    scroll=SCROLL_TTL,\n                )\n                scroll_id = response.get(\"_scroll_id\")\n\n                while True:\n                    hits = response.get(\"hits\", {}).get(\"hits\", [])\n                    if not hits:\n                        break\n\n                    for hit in hits:\n                        chunk = hit.get(\"_source\", {}).copy()\n                        if \"id\" not in chunk:\n                            chunk[\"id\"] = hit.get(\"_id\")\n                        chunks.append(chunk)\n\n                    if not scroll_id:\n                        break\n\n                    response = self.client.scroll(\n                        scroll_id=scroll_id,\n                        scroll=SCROLL_TTL,\n                    )\n                    scroll_id = response.get(\"_scroll_id\")\n\n        except exceptions.NotFoundError:\n            logger.info(f\"Index {index_name} not found when fetching chunks\")\n            chunks = []\n            total = 0\n        except Exception as e:\n            logger.error(f\"Error fetching chunks for index {index_name}: {e}\")\n            raise\n        finally:\n            if scroll_id:\n                try:\n                    self.client.clear_scroll(scroll_id=scroll_id)\n                except Exception as cleanup_error:\n                    logger.warning(\n                        f\"Failed to clear scroll context for index {index_name}: {cleanup_error}\"\n                    )\n\n        return {\n            \"chunks\": chunks,\n            \"total\": total,\n            \"page\": result_page,\n            \"page_size\": result_page_size,\n        }\n\n    def create_chunk(self, index_name: str, chunk: Dict[str, Any]) -> Dict[str, Any]:\n        \"\"\"\n        Create a single chunk document.\n        \"\"\"\n        try:\n            payload = chunk.copy()\n            document_id = payload.get(\"id\")\n            response = self.client.index(\n                index=index_name,\n                id=document_id,\n                document=payload,\n                refresh=\"wait_for\",\n            )\n            logger.info(\n                \"Created chunk %s in index %s\", response.get(\"_id\"), index_name\n            )\n            return {\n                \"id\": response.get(\"_id\"),\n                \"result\": response.get(\"result\"),\n                \"version\": response.get(\"_version\"),\n            }\n        except Exception as exc:\n            logger.error(\n                \"Error creating chunk in index %s: %s\", index_name, exc, exc_info=True\n            )\n            raise\n\n    def update_chunk(self, index_name: str, chunk_id: str, chunk_updates: Dict[str, Any]) -> Dict[str, Any]:\n        \"\"\"\n        Update an existing chunk document.\n        \"\"\"\n        try:\n            document_id = self._resolve_chunk_document_id(index_name, chunk_id)\n            response = self.client.update(\n                index=index_name,\n                id=document_id,\n                body={\"doc\": chunk_updates},\n                refresh=\"wait_for\",\n                retry_on_conflict=3,\n            )\n            logger.info(\n                \"Updated chunk %s in index %s\", document_id, index_name\n            )\n            return {\n                \"id\": response.get(\"_id\"),\n                \"result\": response.get(\"result\"),\n                \"version\": response.get(\"_version\"),\n            }\n        except Exception as exc:\n            logger.error(\n                \"Error updating chunk %s in index %s: %s\",\n                chunk_id,\n                index_name,\n                exc,\n                exc_info=True,\n            )\n            raise\n\n    def delete_chunk(self, index_name: str, chunk_id: str) -> bool:\n        \"\"\"\n        Delete a chunk document by id.\n        \"\"\"\n        try:\n            document_id = self._resolve_chunk_document_id(index_name, chunk_id)\n            response = self.client.delete(\n                index=index_name,\n                id=document_id,\n                refresh=\"wait_for\",\n            )\n            logger.info(\n                \"Deleted chunk %s in index %s\", document_id, index_name\n            )\n            return response.get(\"result\") == \"deleted\"\n        except exceptions.NotFoundError:\n            logger.warning(\n                \"Chunk %s not found in index %s\", chunk_id, index_name\n            )\n            return False\n        except Exception as exc:\n            logger.error(\n                \"Error deleting chunk %s in index %s: %s\",\n                chunk_id,\n                index_name,\n                exc,\n                exc_info=True,\n            )\n            raise\n\n    def search(self, index_name: str, query: Dict[str, Any]) -> Dict[str, Any]:\n        \"\"\"\n        Execute a search query on an index.\n\n        Args:\n            index_name: Name of the index to search\n            query: Search query dictionary\n\n        Returns:\n            Dict containing search results\n        \"\"\"\n        return self.client.search(index=index_name, body=query)\n\n    def multi_search(self, body: List[Dict[str, Any]], index_name: str) -> Dict[str, Any]:\n        \"\"\"\n        Execute multiple search queries in a single request.\n\n        Args:\n            body: List of search queries (alternating index and query)\n            index_name: Name of the index to search\n\n        Returns:\n            Dict containing responses for all queries\n        \"\"\"\n        return self.client.msearch(body=body, index=index_name)\n\n    # ---- SEARCH OPERATIONS ----\n\n    def accurate_search(self, index_names: List[str], query_text: str, top_k: int = 5) -> List[Dict[str, Any]]:\n        \"\"\"\n        Search for documents using fuzzy text matching across multiple indices.\n\n        Args:\n            index_names: Name of the index to search in\n            query_text: The text query to search for\n            top_k: Number of results to return\n\n        Returns:\n            List of search results with scores and document content\n        \"\"\"\n        # Join index names for multi-index search\n        index_pattern = \",\".join(index_names)\n\n        weights = calculate_term_weights(query_text)\n\n        # Prepare the search query using match query for fuzzy matching\n        search_query = build_weighted_query(query_text, weights) | {\n            \"size\": top_k,\n            \"_source\": {\"excludes\": [\"embedding\"]},\n        }\n\n        # Execute the search across multiple indices\n        raw_results = self.exec_query(index_pattern, search_query)\n\n        return raw_results\n\n    def exec_query(self, index_pattern, search_query):\n        response = self.client.search(index=index_pattern, body=search_query)\n        # Process and return results\n        results = []\n        for hit in response[\"hits\"][\"hits\"]:\n            results.append(\n                {\n                    \"score\": hit[\"_score\"],\n                    \"document\": hit[\"_source\"],\n                    \"index\": hit[\"_index\"],  # Include source index in results\n                }\n            )\n        return results\n\n    def semantic_search(\n        self, index_names: List[str], query_text: str, embedding_model: BaseEmbedding, top_k: int = 5\n    ) -> List[Dict[str, Any]]:\n        \"\"\"\n        Search for similar documents using vector similarity across multiple indices.\n\n        Args:\n            index_names: List of index names to search in\n            query_text: The text query to search for\n            embedding_model: The embedding model to use\n            top_k: Number of results to return\n\n        Returns:\n            List of search results with scores and document content\n        \"\"\"\n        # Join index names for multi-index search\n        index_pattern = \",\".join(index_names)\n\n        # Get query embedding\n        query_embedding = embedding_model.get_embeddings(query_text)[0]\n\n        # Prepare the search query\n        search_query = {\n            \"knn\": {\n                \"field\": \"embedding\",\n                \"query_vector\": query_embedding,\n                \"k\": top_k,\n                \"num_candidates\": top_k * 2,\n            },\n            \"size\": top_k,\n            \"_source\": {\"excludes\": [\"embedding\"]},\n        }\n\n        # Execute the search across multiple indices\n        raw_results = self.exec_query(index_pattern, search_query)\n\n        return raw_results\n\n    def hybrid_search(\n        self,\n        index_names: List[str],\n        query_text: str,\n        embedding_model: BaseEmbedding,\n        top_k: int = 5,\n        weight_accurate: float = 0.3,\n    ) -> List[Dict[str, Any]]:\n        \"\"\"\n        Hybrid search method, combining accurate matching and semantic search results across multiple indices.\n\n        Args:\n            index_names: List of index names to search in\n            query_text: The text query to search for\n            embedding_model: The embedding model to use\n            top_k: Number of results to return\n            weight_accurate: The weight of the accurate matching score (0-1), the semantic search weight is 1-weight_accurate\n\n        Returns:\n            List of search results sorted by combined score\n        \"\"\"\n        # Get results from both searches\n        accurate_results = self.accurate_search(\n            index_names, query_text, top_k=top_k)\n        semantic_results = self.semantic_search(\n            index_names, query_text, embedding_model=embedding_model, top_k=top_k)\n\n        # Create a mapping from document ID to results\n        combined_results = {}\n\n        # Process accurate matching results\n        for result in accurate_results:\n            try:\n                doc_id = result[\"document\"][\"id\"]\n                combined_results[doc_id] = {\n                    \"document\": result[\"document\"],\n                    \"accurate_score\": result.get(\"score\", 0),\n                    \"semantic_score\": 0,\n                    \"index\": result[\"index\"],  # Keep track of source index\n                }\n            except KeyError as e:\n                logger.warning(\n                    f\"Warning: Missing required field in accurate result: {e}\")\n                continue\n\n        # Process semantic search results\n        for result in semantic_results:\n            try:\n                doc_id = result[\"document\"][\"id\"]\n                if doc_id in combined_results:\n                    combined_results[doc_id][\"semantic_score\"] = result.get(\n                        \"score\", 0)\n                else:\n                    combined_results[doc_id] = {\n                        \"document\": result[\"document\"],\n                        \"accurate_score\": 0,\n                        \"semantic_score\": result.get(\"score\", 0),\n                        \"index\": result[\"index\"],  # Keep track of source index\n                    }\n            except KeyError as e:\n                logger.warning(\n                    f\"Warning: Missing required field in semantic result: {e}\")\n                continue\n\n        # FIX: For chunks that are in accurate results but not in semantic results,\n        # generate embeddings and store them in ES, then re-execute semantic search\n        # This handles chunks that were manually added without going through normal embedding pipeline\n        accurate_doc_ids = set(r.get(\"document\", {}).get(\"id\") for r in accurate_results)\n        semantic_doc_ids = set(r.get(\"document\", {}).get(\"id\") for r in semantic_results)\n        missing_embedding_doc_ids = accurate_doc_ids - semantic_doc_ids\n\n        if missing_embedding_doc_ids:\n            logger.info(\n                f\"Found {len(missing_embedding_doc_ids)} chunks without stored embeddings, \"\n                f\"generating and storing embeddings in ES: {missing_embedding_doc_ids}\")\n\n            # Process each chunk with missing embedding\n            for doc_id in missing_embedding_doc_ids:\n                if doc_id in combined_results:\n                    chunk_doc = combined_results[doc_id]\n                    chunk_content = chunk_doc[\"document\"].get(\"content\", \"\")\n                    index_name = chunk_doc.get(\"index\", \"\")\n\n                    if chunk_content and index_name:\n                        # Generate embedding for chunk content\n                        chunk_embedding = embedding_model.get_embeddings(chunk_content)\n                        if chunk_embedding and len(chunk_embedding) > 0:\n                            # Update the document in ES with the embedding\n                            update_doc = chunk_doc[\"document\"].copy()\n                            update_doc[\"embedding\"] = chunk_embedding[0]\n                            if \"embedding_model_name\" not in update_doc:\n                                update_doc[\"embedding_model_name\"] = embedding_model.embedding_model_name\n\n                            try:\n                                # Use create_chunk to store the chunk with embedding\n                                self.client.index(\n                                    index=index_name,\n                                    id=doc_id,\n                                    document=update_doc,\n                                    refresh=\"wait_for\"\n                                )\n                                logger.debug(\n                                    f\"Stored embedding for chunk {doc_id} in index {index_name}\")\n                            except Exception as e:\n                                logger.warning(\n                                    f\"Failed to store embedding for chunk {doc_id}: {e}\")\n                                continue\n\n            # Re-execute semantic search now that ES has the new embeddings\n            logger.debug(\"Re-executing semantic search with updated embeddings\")\n            semantic_results = self.semantic_search(\n                index_names, query_text, embedding_model=embedding_model, top_k=top_k)\n\n            # Clear and re-process semantic results with the new embeddings\n            # Remove old entries that came from accurate results\n            for doc_id in list(combined_results.keys()):\n                if doc_id in accurate_doc_ids:\n                    combined_results[doc_id][\"semantic_score\"] = 0\n\n            # Process updated semantic results\n            for result in semantic_results:\n                try:\n                    doc_id = result[\"document\"][\"id\"]\n                    if doc_id in combined_results:\n                        combined_results[doc_id][\"semantic_score\"] = result.get(\"score\", 0)\n                    else:\n                        combined_results[doc_id] = {\n                            \"document\": result[\"document\"],\n                            \"accurate_score\": 0,\n                            \"semantic_score\": result.get(\"score\", 0),\n                            \"index\": result[\"index\"],\n                        }\n                except KeyError as e:\n                    logger.warning(\n                        f\"Warning: Missing required field in semantic result: {e}\")\n                    continue\n\n        # Calculate maximum scores\n        max_accurate = max([r.get(\"score\", 0)\n                           for r in accurate_results]) if accurate_results else 1\n        max_semantic = max([r.get(\"score\", 0)\n                           for r in semantic_results]) if semantic_results else 1\n\n        # Calculate combined scores and sort\n        results = []\n        for doc_id, result in combined_results.items():\n            try:\n                # Get scores safely\n                accurate_score = result.get(\"accurate_score\", 0)\n                semantic_score = result.get(\"semantic_score\", 0)\n\n                # Normalize scores\n                normalized_accurate = accurate_score / max_accurate if max_accurate > 0 else 0\n                normalized_semantic = semantic_score / max_semantic if max_semantic > 0 else 0\n\n                # Calculate weighted combined score\n                combined_score = weight_accurate * normalized_accurate + \\\n                    (1 - weight_accurate) * normalized_semantic\n\n                results.append(\n                    {\n                        \"score\": combined_score,\n                        \"document\": result[\"document\"],\n                        # Include source index in results\n                        \"index\": result[\"index\"],\n                        \"scores\": {\"accurate\": normalized_accurate, \"semantic\": normalized_semantic},\n                    }\n                )\n            except KeyError as e:\n                logger.warning(\n                    f\"Warning: Error processing result for doc_id {doc_id}: {e}\")\n                continue\n\n        # Sort by combined score and return top k results\n        results.sort(key=lambda x: x[\"score\"], reverse=True)\n        final_results = results[:top_k]\n\n        return final_results\n\n    # ---- STATISTICS AND MONITORING ----\n    def get_documents_detail(self, index_name: str) -> List[Dict[str, Any]]:\n        \"\"\"\n        Get a list of unique path_or_url values with their file_size and create_time\n\n        Args:\n            index_name: Name of the index to query\n\n        Returns:\n            List of dictionaries with path_or_url, file_size, and create_time\n        \"\"\"\n        agg_query = {\n            \"size\": 0,\n            \"aggs\": {\n                \"unique_sources\": {\n                    \"terms\": {\n                        \"field\": \"path_or_url\",\n                        \"size\": 1000,  # Limit to 1000 files for performance\n                    },\n                    \"aggs\": {\n                        \"file_sample\": {\n                            \"top_hits\": {\"size\": 1, \"_source\": [\"path_or_url\", \"file_size\", \"create_time\", \"filename\"]}\n                        }\n                    },\n                }\n            },\n        }\n\n        try:\n            result = self.client.search(index=index_name, body=agg_query)\n\n            file_list = []\n            for bucket in result[\"aggregations\"][\"unique_sources\"][\"buckets\"]:\n                source = bucket[\"file_sample\"][\"hits\"][\"hits\"][0][\"_source\"]\n                file_info = {\n                    \"path_or_url\": source[\"path_or_url\"],\n                    \"filename\": source.get(\"filename\", \"\"),\n                    \"file_size\": source.get(\"file_size\", 0),\n                    \"create_time\": source.get(\"create_time\", None),\n                    \"chunk_count\": bucket.get(\"doc_count\", 0),\n                }\n                file_list.append(file_info)\n\n            return file_list\n        except Exception as e:\n            logger.error(f\"Error getting file list: {str(e)}\")\n            return []\n\n    def get_indices_detail(\n        self, index_names: List[str], embedding_dim: Optional[int] = None\n    ) -> Dict[str, Dict[str, Dict[str, Any]]]:\n        \"\"\"Get formatted statistics for multiple indices\"\"\"\n        all_stats = {}\n        for index_name in index_names:\n            try:\n                stats = self.client.indices.stats(index=index_name)\n                settings = self.client.indices.get_settings(index=index_name)\n\n                # Merge query\n                agg_query = {\n                    \"size\": 0,\n                    \"aggs\": {\n                        \"unique_path_or_url_count\": {\"cardinality\": {\"field\": \"path_or_url\"}},\n                        \"process_sources\": {\"terms\": {\"field\": \"process_source\", \"size\": 10}},\n                        \"embedding_models\": {\"terms\": {\"field\": \"embedding_model_name\", \"size\": 10}},\n                    },\n                }\n\n                # Execute query\n                agg_result = self.client.search(\n                    index=index_name, body=agg_query)\n\n                unique_sources_count = agg_result[\"aggregations\"][\"unique_path_or_url_count\"][\"value\"]\n                process_source = (\n                    agg_result[\"aggregations\"][\"process_sources\"][\"buckets\"][0][\"key\"]\n                    if agg_result[\"aggregations\"][\"process_sources\"][\"buckets\"]\n                    else \"\"\n                )\n                embedding_model = (\n                    agg_result[\"aggregations\"][\"embedding_models\"][\"buckets\"][0][\"key\"]\n                    if agg_result[\"aggregations\"][\"embedding_models\"][\"buckets\"]\n                    else \"\"\n                )\n\n                index_stats = stats[\"indices\"][index_name][\"primaries\"]\n\n                # Get creation and update timestamps from settings\n                creation_date = int(\n                    settings[index_name][\"settings\"][\"index\"][\"creation_date\"])\n                # Update time defaults to creation time if not modified\n                update_time = creation_date\n\n                all_stats[index_name] = {\n                    \"base_info\": {\n                        \"doc_count\": unique_sources_count,\n                        \"chunk_count\": index_stats[\"docs\"][\"count\"],\n                        \"store_size\": format_size(index_stats[\"store\"][\"size_in_bytes\"]),\n                        \"process_source\": process_source,\n                        \"embedding_model\": embedding_model,\n                        \"embedding_dim\": embedding_dim or 1024,\n                        \"creation_date\": creation_date,\n                        \"update_date\": update_time,\n                    },\n                    \"search_performance\": {\n                        \"total_search_count\": index_stats[\"search\"][\"query_total\"],\n                        \"hit_count\": index_stats[\"request_cache\"][\"hit_count\"],\n                    },\n                }\n            except Exception as e:\n                logger.error(\n                    f\"Error getting stats for index {index_name}: {str(e)}\")\n                all_stats[index_name] = {\"error\": str(e)}\n\n        return all_stats\n\n    def _resolve_chunk_document_id(self, index_name: str, chunk_id: str) -> str:\n        \"\"\"\n        Resolve the Elasticsearch document id for a chunk.\n        \"\"\"\n        try:\n            self.client.get(index=index_name, id=chunk_id, _source=False)\n            return chunk_id\n        except exceptions.NotFoundError:\n            pass\n\n        # Search by stored chunk id field\n        response = self.client.search(\n            index=index_name,\n            body={\n                \"size\": 1,\n                \"query\": {\"term\": {\"id\": {\"value\": chunk_id}}},\n                \"_source\": False,\n            },\n        )\n        hits = response.get(\"hits\", {}).get(\"hits\", [])\n        if hits:\n            return hits[0].get(\"_id\")\n\n        raise exceptions.NotFoundError(\n            404,\n            {\"error\": {\"reason\": f\"Chunk {chunk_id} not found in index {index_name}\"}},\n            chunk_id,\n        )\n"
  },
  {
    "path": "sdk/nexent/vector_database/utils.py",
    "content": "from datetime import datetime\n\ndef format_size(size_in_bytes):\n    \"\"\"Convert size in bytes to human readable format\"\"\"\n    for unit in ['B', 'KB', 'MB', 'GB', 'TB']:\n        if size_in_bytes < 1024.0:\n            return f\"{size_in_bytes:.2f} {unit}\"\n        size_in_bytes /= 1024.0\n    return f\"{size_in_bytes:.2f} PB\"\n\ndef format_timestamp(timestamp_ms):\n    \"\"\"Convert millisecond timestamp to formatted date string\"\"\"\n    dt = datetime.fromtimestamp(timestamp_ms / 1000.0)\n    return dt.strftime('%Y-%m-%d %H:%M:%S')\n\ndef build_weighted_query(text, term_weights, field_weights=None, boost_factor=2.0):\n    \"\"\"\n    Build Elasticsearch weighted query DSL\n\n    Parameters:\n        text (str): Original query text\n        term_weights (dict): Term weight dictionary {term: weight}\n        field_weights (dict): Field weight dictionary {field_name: weight}, default {\"title\": 1, \"content\": 1}\n        boost_factor (float): Weight amplification factor, default 2.0\n\n    Returns:\n        dict: Elasticsearch query DSL\n    \"\"\"\n    if field_weights is None:\n        field_weights = {\"title\": 1, \"content\": 1}\n\n    # Convert English text to lowercase\n    text = text.lower()\n\n    # Build functions array for function_score\n    functions = []\n    for term, weight in term_weights.items():\n        for field in field_weights:\n            functions.append({\n                # Create filter condition for each term\n                \"filter\": {\"term\": {field: term}},\n                # Actual weight = calculated weight * field weight * amplification factor\n                \"weight\": weight * field_weights[field] * boost_factor\n            })\n\n    # Generate should clause\n    should_clauses = []\n    for field, weight in field_weights.items():\n        should_clauses.extend([\n            {\n                \"match_phrase\": {\n                    field: {\n                        \"query\": text,\n                        \"slop\": 3,\n                        \"boost\": weight  # Set boost for match_phrase\n                    }\n                }\n            },\n            {\n                \"match\": {\n                    field: {\n                        \"query\": text,\n                        \"minimum_should_match\": \"50%\",\n                        \"fuzziness\": \"AUTO\",\n                        \"boost\": weight  # Set boost for match\n                    }\n                }\n            }\n        ])\n\n    query_body = {\n        \"query\": {\n            \"function_score\": {\n                \"query\": {\n                    \"bool\": {\n                        \"should\": should_clauses,\n                        \"minimum_should_match\": 1\n                    }\n                },\n                \"functions\": functions,\n                \"score_mode\": \"sum\",\n                \"boost_mode\": \"multiply\"\n            }\n        }\n    }\n\n    return query_body"
  },
  {
    "path": "sdk/pyproject.toml",
    "content": "[build-system]\nrequires = [\"setuptools>=75.1.0\"]\nbuild-backend = \"setuptools.build_meta\"\n\n[project]\nname = \"nexent\"\nversion = \"0.1.2\"\ndescription = \"Nexent Agent Framework\"\nauthors = [\n    { name = \"Nexent Dev Team\" }\n]\nrequires-python = \">=3.10\"\nkeywords = [\"agent\", \"ai\", \"framework\"]\nclassifiers = [\n    \"Intended Audience :: Developers\",\n    \"Programming Language :: Python :: 3\",\n    \"Programming Language :: Python :: 3.10\",\n]\ndependencies = [\n    \"aiofiles>=24.1.0\",\n    \"elasticsearch==8.17.2\",\n    \"exa_py==1.14.0\",\n    \"httpx[socks]>=0.28.1\",\n    \"numpy>=1.26.4\",\n    \"openai>=1.69.0\",\n    \"openpyxl>=3.1.5\",\n    \"pydantic[email]>=2.11.1\",\n    \"python-dotenv>=1.1.0\",\n    \"PyYAML>=6.0.1\",\n    \"Requests>=2.32.3\",\n    \"rich>=13.9.4\",\n    \"setuptools>=75.1.0\",\n    \"websockets>=14.2\",\n    \"smolagents[mcp]==1.23.0\",\n    \"Pillow>=10.0.0\",\n    \"aiohttp>=3.1.13\",\n    \"jieba>=0.42.1\",\n    \"boto3>=1.37.34\",\n    \"botocore>=1.37.34\",\n    \"python-multipart>=0.0.20\",\n    \"mcpadapt>=0.1.13\",\n    \"mcp>=1.19.0,<1.23\",\n    \"fastmcp==2.12.0\",\n    \"docker>=7.0.0\",\n    \"tiktoken>=0.5.0\",\n    \"tavily-python\",\n    \"linkup-sdk\",\n    \"paramiko>=3.4.0\",\n    \"linkup-sdk\",\n    \"mem0ai>=0.1.117\"\n]\n\n[tool.uv]\noverride-dependencies = [\n    \"pymongo==999.0.0\",\n    \"psycopg2-binary==999.0.0\",\n    \"redis==999.0.0\",\n    \"neo4j==999.0.0\",\n    \"chromadb==999.0.0\",\n    \"pinecone-client==999.0.0\",\n    \"weaviate-client==999.0.0\",\n]\n\n[project.optional-dependencies]\nquality = [\n    \"ruff>=0.9.0\",\n    \"pytest>=8.1.0\"\n]\ndata_process = [\n    \"unstructured[all-docs]\"\n]\nperformance = [\n    # OpenTelemetry Core Components\n    \"opentelemetry-api==1.20.0\",\n    \"opentelemetry-sdk==1.20.0\",\n    \"opentelemetry-semantic-conventions==0.41b0\",\n    # OpenTelemetry Instrumentation\n    \"opentelemetry-instrumentation==0.41b0\",\n    \"opentelemetry-instrumentation-fastapi==0.41b0\",\n    \"opentelemetry-instrumentation-requests==0.41b0\",\n    # OpenTelemetry Exporters\n    \"opentelemetry-exporter-jaeger\",\n    \"opentelemetry-exporter-prometheus\",\n    # Additional monitoring dependencies\n    \"prometheus-client\"\n]\ndev = [\n    \"nexent[quality, data_process, performance]\"\n]\n\n[tool.setuptools.packages.find]\ninclude = [\"nexent*\"]\nexclude = [\"tests*\", \"examples*\"]\n\n[tool.setuptools.package-data]\n\"nexent.core.prompts\" = [\"*.yaml\"]\n\n[tool.ruff]\nline-length = 119\nlint.ignore = [\n    \"F403\",\n    \"E501\"\n]\nlint.select = [\"E\", \"F\", \"I\", \"W\"]\n\n[tool.ruff.lint.isort]\nknown-first-party = [\"nexent\"]\nlines-after-imports = 2\n"
  },
  {
    "path": "test/.coveragerc",
    "content": "[run]\nbranch = True\nsource = \n    ../../backend\nomit = \n    */test*\n    */tests/*\n    */__pycache__/*\n    */venv/*\n    */env/*\n    */.venv/*\n    */__init__.py\n    backend/database/utils.py\n    backend/utils/user_utils.py\n\n[paths]\nsource =\n    ../../backend\n    */backend\n\n[report]\nexclude_lines =\n    pragma: no cover\n    def __repr__\n    raise NotImplementedError\n    if __name__ == .__main__.:\n    pass\n    raise ImportError "
  },
  {
    "path": "test/__init__.py",
    "content": ""
  },
  {
    "path": "test/assets/test_data_process_doc.txt",
    "content": "This is a test file for the data processing module.\nIt contains simple text on multiple lines.\nLine 3.\nLine 4.\nEnd of file. "
  },
  {
    "path": "test/assets/test_prompt.yaml",
    "content": "system_prompt: |-\n  ### 核心职责 ###\n  你是一个智能邮件回答助手，负责搜索相关信息并以邮件形式发送给用户。\n  你能够利用搜索助手高效地查找所需信息，并通过邮件工具将答案发送到指定邮箱。\n  你具备信息搜索和邮件发送的能力，确保用户能够及时收到准确、完整的答案。\n  \n  ### 执行流程 ###\n  要解决任务，你必须通过一系列步骤向前规划，以'思考：'、'代码：'和'观察结果：'序列的循环进行：\n  \n  1. 思考：\n     - 分析当前任务状态和进展\n     - 确定下一步最佳行动（使用工具或分配给agent）\n     - 解释你的决策逻辑和预期结果\n  \n  2. 代码：\n     - 用简单的Python编写代码\n     - 遵循python代码规范和python语法\n     - 正确调用agent或工具解决问题\n  \n  3. 观察结果：\n     - 查看代码执行结果\n     - 根据结果决定下一步行动\n    \n  在思考结束后，当你认为可以回答用户问题，那么可以不生成代码，直接生成最终回答给到用户并停止循环。\n  \n  生成最终回答时，你需要遵顼以下规范：\n  1.不要输出代码，因为最终回答不应该包含任何代码。\n  2.使用Markdown格式格式化你的输出。\n  3.在回答的对应位置添加引用标记，格式为'[[1]][[2]]'。注意仅添加引用标记，不需要添加链接、参考文献等多余内容。\n     \n  ### 可用资源 ###\n  你只能使用以下两类资源，不得使用任何其他工具或agent：\n  \n  1. 工具（Python函数）\n     - 你只能使用以下工具，不得使用任何其他工具：\n     - email_send: 发送email\n         接受输入: {\"address\": {\"title\": \"Address\", \"type\": \"string\", \"description\": \"see tool description\"}, \"content\": {\"title\": \"Content\", \"type\": \"string\", \"description\": \"see tool description\"}}\n         返回输出类型: string\n  \n  2. agent（专门的助手）\n     - 你只能使用以下agent，不得使用任何其他agent：\n     - search_agent: 搜索有关内容\n  \n     - agent使用规范：\n       1. 调用方式：\n          - 接受输入：{\"task\": {\"type\": \"string\", \"description\": \"本次调用agent的任务描述\"}}\n          - 返回输出类型：{\"type\": \"string\", \"description\": \"agent执行结果\"}\n       2. 使用策略：\n          - 任务分解：单次调用中不要让agent一次做过多的事情，任务拆分是你的工作，你需要将复杂任务分解为可管理的子任务\n          - 专业匹配：根据agent的专长分配任务\n          - 信息整合：整合不同agent的输出生成连贯解决方案\n          - 效率优化：避免重复工作\n       3. 协作要求：\n          - 评估agent返回的结果\n          - 必要时提供额外指导或重新分配任务\n          - 在agent结果基础上进行工作，避免重复工作。\n          - 注意保留子agent回答中的特殊符号，如索引溯源信息等。\n    \n  ### 资源使用要求 ###\n  1. 使用email_send工具时，仅允许将search_agent搜索到的内容作为邮件内容发送。\n  2. email_send工具的地址字段必须由用户指定，不得自行添加或修改收件人地址。\n  3. 每次使用email_send工具发送邮件时，邮件内容必须基于search_agent的搜索结果生成。\n  \n  ### python代码规范 ###\n  1. 代码内容必须以以'代码：\\n```<RUN>\\n'开头，并以'```<END_CODE>'标识符结尾，否则你将失败。\n  2. 如果认为是需要执行的代码，代码内容以'代码：\\n```<RUN>\\n'开头，并以'```<END_CODE>'标识符结尾。如果是不需要执行仅用于展示的代码，代码内容以'代码：\\n```<DISPLAY:语言类型>\\n'开头，并以'```<END_CODE>'标识符结尾，其中语言类型例如python、java、javascript等；\n  2. 只使用已定义的变量，变量将在多次调用之间持续保持。使用'print()'函数让下一次的模型调用看到对应变量信息\n  3. 正确使用工具和Agent的入参，使用关键字参数，不要用字典形式。\n  4. 避免在一轮对话中进行过多的工具调用，这会导致输出格式难以预测。\n  5. 只在需要时调用工具，不重复相同参数的调用\n  6. 只能从以下模块导入：['collections', 'datetime', 'itertools', 'math', 'queue', 'random', 're', 'stat', 'statistics', 'time', 'unicodedata']\n  7. 不要放弃！你负责解决任务，而不是提供解决方向。\n  \n  ### 示例模板 ###\n  ### 任务: \"将关于人工智能的最新研究发送到指定邮箱\"\n  \n  思考: 首先，我将使用search_agent搜索关于人工智能的最新研究。\n  代码:\n  ```<RUN>\n  search_results = search_agent(task=\"最新的人工智能研究\")\n  print(search_results)\n  ```<END_CODE>\n  观察结果:\n  {\"summary\": \"最新的人工智能研究集中在机器学习和深度学习领域，特别是在自然语言处理和图像识别方面取得了显著进展。\", \"details\": \"具体的研究包括但不限于：1. 使用Transformer模型改进自然语言理解；2. 利用卷积神经网络提升图像识别精度。\"}\n  \n  思考: 我已经获取了关于人工智能的最新研究信息，现在我将使用email_send工具将这些信息发送到指定邮箱。\n  代码:\n  ```<RUN>\n  email_send(address=\"user@example.com\", content=search_results[\"summary\"])\n  ```<END_CODE>\n  \n  思考：我将生成最终回答。\n  已经将关于人工智能的最新研究信息发送到指定邮箱。\n  \n  现在开始！如果你正确解决任务，你将获得100万美元的奖励。\n\n\nmanaged_agent:\n  task: |-\n\n  report: |-\n      {{final_answer}}"
  },
  {
    "path": "test/assets/test_sub_prompt.yaml",
    "content": "system_prompt: |-\n  ### 核心职责 ###\n  你是一个信息检索协调者，负责高效地解答用户的问题。\n  你具备使用内部知识库和网络搜索的能力，优先使用内部知识库进行查询，当内部知识库无法提供答案时，再利用网络搜索获取信息。\n  你的目标是确保提供的信息既准确又全面，同时保护公司内部信息的安全性。\n  \n  ### 执行流程 ###\n  要解决任务，你必须通过一系列步骤向前规划，以'思考：'、'代码：'和'观察结果：'序列的循环进行：\n  \n  1. 思考：\n     - 确定需要使用哪些工具获取信息或行动\n     - 解释你的决策逻辑和预期结果\n  \n  2. 代码：\n     - 用简单的Python编写代码\n     - 遵循python代码规范和python语法\n     - 根据格式规范正确调用工具\n  \n  3. 观察结果：\n     - 查看代码执行结果\n  \n  在思考结束后，当你认为可以回答用户问题，那么可以不生成代码，直接生成最终回答给到用户并停止循环。\n  \n  生成最终回答时，你需要遵顼以下规范：\n  1.不要输出代码，因为最终回答不应该包含任何代码。\n  2.使用Markdown格式格式化你的输出。\n  3.在回答的对应位置添加引用标记，格式为'[[index]]'，其中index为引用的序号。注意仅添加引用标记，不需要添加链接、参考文献等多余内容。\n  \n  注意最后生成的回答要语义连贯，信息清晰，可读性高。\n     \n  ### 可用资源 ###\n  你只能使用以下工具，不得使用任何其他工具：\n  - web_search: Performs a web search based on your query (think a Google search) then returns the top search results. A tool for retrieving publicly available information, news, general knowledge, or non-proprietary data from the internet. Use this for real-time updates, broad topics, or when the query falls outside the company's internal knowledge base.Use for open-domain, real-time, or general knowledge queries\n      接受输入: {\"query\": {\"type\": \"string\", \"description\": \"The search query to perform.\"}}\n      返回输出类型: string\n  - knowledge_base_search: Performs a local knowledge base search based on your query then returns the top search results. A tool for retrieving internal company documents, policies, processes and proprietary information. Use this tool when users ask questions related to internal company matters, product details, organizational structure, internal processes, or confidential information. Prioritize for company-specific queries. Use for proprietary knowledge or restricted informationAvoid for publicly available general knowledge\n      接受输入: {\"query\": {\"type\": \"string\", \"description\": \"The search query to perform.\"}}\n      返回输出类型: string\n  \n  ### 资源使用要求 ###\n  1. 优先使用knowledge_base_search工具进行本地知识库搜索。\n  2. 如果knowledge_base_search未找到相关信息，则使用web_search工具进行网络搜索。\n  \n  ### python代码规范 ###\n  1. 代码内容必须以以'代码：\\n```<RUN>\\n'开头，并以'```<END_CODE>'标识符结尾，否则你将失败。\n  2. 如果认为是需要执行的代码，代码内容以'代码：\\n```<RUN>\\n'开头，并以'```<END_CODE>'标识符结尾。如果是不需要执行仅用于展示的代码，代码内容以'代码：\\n```<DISPLAY:语言类型>\\n'开头，并以'```<END_CODE>'标识符结尾，其中语言类型例如python、java、javascript等；\n  2. 只使用已定义的变量，变量将在多次调用之间持续保持。使用'print()'函数让下一次的模型调用看到对应变量信息\n  3. 正确使用工具的入参，使用关键字参数，不要用字典形式。\n  4. 避免在一轮对话中进行过多的工具调用，这会导致输出格式难以预测。\n  5. 只在需要时调用工具，不重复相同参数的调用\n  6. 只能从以下模块导入：['collections', 'datetime', 'itertools', 'math', 'queue', 'random', 're', 'stat', 'statistics', 'time', 'unicodedata']\n  7. 不要放弃！你负责解决任务，而不是提供解决方向。\n  \n  ### 示例模板 ###\n  ### 任务: \"介绍一下东方明珠\"\n  \n  思考：我先使用knowledge_base_search工具查找本地知识库是否有相关信息。\n  代码：\n  ```<RUN>\n  knowledge_info = knowledge_base_search(query=\"东方明珠 介绍\")\n  print(knowledge_info)\n  ```<END_CODE>\n  观察结果：\n  未找到查询\"东方明珠 介绍\"的结果。检索结果难以支撑回答。\n  \n  思考：从本地知识库中没有找到相关信息，我需要使用web_search工具查询网络信息。\n  代码：\n  ```<RUN>\n  web_info = web_search(query=\"东方明珠 介绍\")\n  print(web_info)\n  ```<END_CODE>\n  观察结果：\n  [东方明珠相关信息]\n  \n  思考：我已经获得了有关信息，现在我将生成最终回答。\n  东方明珠广播电视塔位于中国上海市浦东新区陆家嘴... [已截断]\n  \n  ---\n  \n  ### 任务: \"公司内部关于项目管理的政策是什么？\"\n  \n  思考：我将使用knowledge_base_search工具查找公司内部关于项目管理的政策。\n  代码：\n  ```<RUN>\n  policy_info = knowledge_base_search(query=\"公司内部关于项目管理的政策\")\n  print(policy_info)\n  ```<END_CODE>\n  观察结果：\n  [公司内部项目管理政策的相关信息]\n  \n  思考：我已经获得了公司内部关于项目管理的政策信息，现在我将生成最终回答。\n  公司内部关于项目管理的政策包括... [已截断]\n  \n  ---\n  \n  ### 任务: \"查询一下关于量子计算的最新研究进展\"\n  \n  思考：我先使用knowledge_base_search工具查找本地知识库是否有相关信息。\n  代码：\n  ```<RUN>\n  knowledge_info = knowledge_base_search(query=\"量子计算 最新研究进展\")\n  print(knowledge_info)\n  ```<END_CODE>\n  观察结果：\n  未找到查询\"量子计算 最新研究进展\"的结果。检索结果难以支撑回答。\n  \n  思考：从本地知识库中没有找到相关信息，我需要使用web_search工具查询网络信息。\n  代码：\n  ```<RUN>\n  web_info = web_search(query=\"量子计算 最新研究进展\")\n  print(web_info)\n  ```<END_CODE>\n  观察结果：\n  [量子计算最新研究进展的相关信息]\n  \n  思考：我已经获得了有关信息，现在我将生成最终回答。\n  关于量子计算的最新研究进展包括... [已截断]\n  \n  现在开始！如果你正确解决任务，你将获得100万美元的奖励。\n\n\nmanaged_agent:\n  task: |-\n      你是一个名为'{{name}}'的助手。\n      你的管理者给你提交了这个任务。\n      ---\n      任务：\n      {{task}}\n      ---\n      你正在帮助你的管理者解决一个更大的任务：所以确保不要提供一行答案，而是提供尽可能多的信息，让他们清楚地理解答案。\n      即使你的任务解决不成功，也请返回尽可能多的上下文，这样你的管理者可以根据这个反馈采取行动。\n\n  report: |-\n      {{final_answer}}"
  },
  {
    "path": "test/assets/test_voice.html",
    "content": "<!DOCTYPE html>\n<html lang=\"zh\">\n<head>\n    <meta charset=\"UTF-8\">\n    <meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\">\n    <title>语音识别与合成测试</title>\n    <style>\n        body {\n            font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Arial, sans-serif;\n            max-width: 800px;\n            margin: 0 auto;\n            padding: 20px;\n            background-color: #f5f5f5;\n        }\n        .container {\n            background-color: white;\n            padding: 30px;\n            border-radius: 10px;\n            box-shadow: 0 2px 4px rgba(0,0,0,0.1);\n            margin-bottom: 20px;\n        }\n        h1, h2 {\n            color: #333;\n            margin-bottom: 20px;\n            text-align: center;\n        }\n        .control-panel {\n            display: flex;\n            gap: 10px;\n            margin-bottom: 20px;\n            justify-content: center;\n        }\n        .input-group {\n            display: flex;\n            gap: 10px;\n            margin-bottom: 20px;\n        }\n        textarea {\n            flex: 1;\n            padding: 10px;\n            border: 1px solid #ddd;\n            border-radius: 5px;\n            font-size: 16px;\n            min-height: 100px;\n            resize: vertical;\n        }\n        button {\n            padding: 10px 20px;\n            background-color: #007bff;\n            color: white;\n            border: none;\n            border-radius: 5px;\n            cursor: pointer;\n            font-size: 16px;\n            transition: background-color 0.2s;\n        }\n        button:hover {\n            background-color: #0056b3;\n        }\n        button:disabled {\n            background-color: #ccc;\n            cursor: not-allowed;\n        }\n        button.recording {\n            background-color: #dc3545;\n        }\n        .output-container {\n            border: 1px solid #ddd;\n            border-radius: 5px;\n            padding: 15px;\n            min-height: 200px;\n            margin-top: 20px;\n            background-color: #f9f9f9;\n            overflow-y: auto;\n            white-space: pre-wrap;\n        }\n        .audio-container {\n            margin-top: 20px;\n        }\n        audio {\n            width: 100%;\n            margin-top: 10px;\n        }\n        .status {\n            margin-top: 15px;\n            color: #666;\n            text-align: center;\n            font-style: italic;\n        }\n        .text-result {\n            margin-bottom: 10px;\n            padding: 5px;\n            border-bottom: 1px solid #eee;\n        }\n        .final {\n            font-weight: bold;\n            color: #28a745;\n        }\n        .interim {\n            color: #6c757d;\n            font-style: italic;\n        }\n        .hidden {\n            display: none;\n        }\n        .microphone-icon {\n            font-size: 24px;\n            margin-right: 8px;\n        }\n        .recording-indicator {\n            display: inline-block;\n            width: 12px;\n            height: 12px;\n            background-color: #dc3545;\n            border-radius: 50%;\n            margin-right: 8px;\n            animation: pulse 1.5s infinite;\n        }\n        @keyframes pulse {\n            0% { opacity: 1; }\n            50% { opacity: 0.4; }\n            100% { opacity: 1; }\n        }\n        .audio-info {\n            margin-top: 10px;\n            padding: 8px;\n            background-color: #f0f0f0;\n            border-radius: 4px;\n            font-size: 12px;\n            color: #555;\n        }\n        .tabs {\n            display: flex;\n            justify-content: center;\n            gap: 10px;\n            margin-bottom: 20px;\n        }\n        .tab {\n            padding: 10px 20px;\n            background-color: #eee;\n            border-radius: 5px;\n            cursor: pointer;\n            font-weight: bold;\n        }\n        .tab.active {\n            background-color: #007bff;\n            color: white;\n        }\n        .tab-content {\n            display: none;\n        }\n        .tab-content.active {\n            display: block;\n        }\n    </style>\n</head>\n<body>\n    <div class=\"container\">\n        <h1>语音识别与合成测试</h1>\n        \n        <div class=\"tabs\">\n            <div class=\"tab active\" onclick=\"switchTab('stt')\">语音识别 (STT)</div>\n            <div class=\"tab\" onclick=\"switchTab('tts')\">语音合成 (TTS)</div>\n        </div>\n        \n        <!-- STT 模块 -->\n        <div id=\"stt-tab\" class=\"tab-content active\">\n            <div class=\"control-panel\">\n                <button id=\"startBtn\" onclick=\"startRecording()\"><span class=\"microphone-icon\">🎤</span> 开始录音</button>\n                <button id=\"stopBtn\" onclick=\"stopRecording()\" disabled>停止录音</button>\n                <button id=\"clearBtn\" onclick=\"clearResults()\">清空结果</button>\n            </div>\n            \n            <div class=\"status\" id=\"stt-status\">准备就绪</div>\n            \n            <div class=\"output-container\" id=\"outputContainer\">\n                <div class=\"text-result\">识别结果将显示在这里...</div>\n            </div>\n        </div>\n        \n        <!-- TTS 模块 -->\n        <div id=\"tts-tab\" class=\"tab-content\">\n            <div class=\"input-group\">\n                <textarea id=\"textInput\" placeholder=\"请输入要转换的文字...\"></textarea>\n                <button id=\"convertBtn\" onclick=\"convertToSpeech()\">转换</button>\n            </div>\n            <div class=\"audio-container\">\n                <audio id=\"audioPlayer\" controls></audio>\n                <div class=\"status\" id=\"tts-status\"></div>\n            </div>\n        </div>\n    </div>\n\n    <script>\n        // 全局配置\n        const APP_CONFIG = {\n            // 服务器地址配置\n            TTS_ENDPOINT: 'ws://localhost:8004/tts/ws',\n            STT_ENDPOINT: 'ws://localhost:8004/stt/ws'\n        };\n        \n        // 标签页切换功能\n        function switchTab(tabId) {\n            // 切换标签页样式\n            document.querySelectorAll('.tab').forEach(tab => {\n                tab.classList.remove('active');\n            });\n            document.querySelectorAll('.tab-content').forEach(content => {\n                content.classList.remove('active');\n            });\n            \n            // 激活当前标签页\n            document.querySelector(`.tab[onclick=\"switchTab('${tabId}')\"]`).classList.add('active');\n            document.getElementById(`${tabId}-tab`).classList.add('active');\n        }\n        \n        // ===================== STT 功能 =====================\n        let websocket;\n        let mediaRecorder;\n        let audioChunks = []; // 用于共享STT和TTS功能\n        let isRecording = false;\n        let audioStream = null; // 保存麦克风流，避免重复请求权限\n        let audioContext = null; // 用于处理音频格式转换\n        let ttsWebsocket = null; // TTS WebSocket 连接\n        \n        // 初始化\n        function initialize() {\n            // 检查浏览器支持\n            if (!navigator.mediaDevices || !navigator.mediaDevices.getUserMedia) {\n                updateStatus('您的浏览器不支持音频录制功能', true, 'stt');\n                disableButtons();\n                return;\n            }\n            \n            try {\n                // 创建音频上下文\n                window.AudioContext = window.AudioContext || window.webkitAudioContext;\n                audioContext = new AudioContext();\n            } catch (e) {\n                console.error(\"无法创建音频上下文:\", e);\n                updateStatus('浏览器不支持AudioContext', true, 'stt');\n                disableButtons();\n                return;\n            }\n            \n            // 预先请求麦克风权限\n            requestMicrophonePermission();\n            \n            updateStatus('准备就绪', false, 'stt');\n        }\n        \n        // 预先请求麦克风权限\n        async function requestMicrophonePermission() {\n            try {\n                updateStatus('请求麦克风权限...', false, 'stt');\n                // 请求与服务器配置匹配的音频参数\n                audioStream = await navigator.mediaDevices.getUserMedia({ \n                    audio: {\n                        sampleRate: 16000,         // 确保与服务器配置匹配\n                        channelCount: 1,           // 单声道\n                        echoCancellation: true,    // 回声消除\n                        noiseSuppression: true,    // 噪声抑制\n                        autoGainControl: true      // 自动增益控制\n                    } \n                });\n                updateStatus('麦克风权限已获取，准备就绪', false, 'stt');\n                \n                // 创建新的音频上下文，指定采样率\n                if (audioContext) {\n                    audioContext.close();\n                }\n                audioContext = new (window.AudioContext || window.webkitAudioContext)({\n                    sampleRate: 16000 // 强制使用16kHz采样率\n                });\n                \n                console.log(`音频上下文创建成功，采样率: ${audioContext.sampleRate}Hz`);\n            } catch (error) {\n                updateStatus(`无法访问麦克风: ${error.message}`, true, 'stt');\n                disableButtons();\n            }\n        }\n        \n        // 开始录音\n        async function startRecording() {\n            try {\n                updateStatus('正在连接服务器...', false, 'stt');\n                audioChunks = [];\n                \n                // 确保我们有麦克风权限\n                if (!audioStream) {\n                    try {\n                        updateStatus('请求麦克风权限...', false, 'stt');\n                        audioStream = await navigator.mediaDevices.getUserMedia({ \n                            audio: {\n                                sampleRate: 16000,         // 确保与服务器配置匹配\n                                channelCount: 1,           // 单声道\n                                echoCancellation: true,    // 回声消除\n                                noiseSuppression: true,    // 噪声抑制\n                                autoGainControl: true      // 自动增益控制\n                            } \n                        });\n                        \n                        // 创建新的音频上下文，指定采样率\n                        if (audioContext) {\n                            audioContext.close();\n                        }\n                        audioContext = new (window.AudioContext || window.webkitAudioContext)({\n                            sampleRate: 16000 // 强制使用16kHz采样率\n                        });\n                        \n                        console.log(`音频上下文创建成功，采样率: ${audioContext.sampleRate}Hz`);\n                        updateStatus('麦克风权限已获取，连接服务器...', false, 'stt');\n                    } catch (error) {\n                        updateStatus(`无法访问麦克风: ${error.message}`, true, 'stt');\n                        return;\n                    }\n                }\n                \n                // 关闭现有WebSocket连接(如果有的话)\n                if (websocket && websocket.readyState !== WebSocket.CLOSED) {\n                    websocket.close();\n                    websocket = null;\n                }\n                \n                // 重置标志位\n                isRecording = false;\n                \n                // 连接WebSocket\n                websocket = new WebSocket(APP_CONFIG.STT_ENDPOINT);\n                \n                websocket.onopen = function() {\n                    updateStatus('WebSocket已连接，等待服务准备就绪...', false, 'stt');\n                };\n                \n                websocket.onmessage = function(event) {\n                    const data = JSON.parse(event.data);\n                    console.log(\"Received data:\", data);\n                    \n                    if (data.status === 'ready') {\n                        // 服务器准备就绪后启动录音\n                        startMediaRecorder(audioStream);\n                    } else if (data.status === 'processing') {\n                        // 处理中状态，不需要显示任何内容\n                        console.log(\"Processing status received\");\n                    } else if (data.error) {\n                        updateStatus(`错误: ${data.error}`, true, 'stt');\n                        stopRecording();\n                    } else if (data.code !== undefined && data.code !== 1000) {\n                        updateStatus(`服务器错误码: ${data.code}`, true, 'stt');\n                    } else if (data.result) {\n                        // 标准结果格式处理\n                        const result = data.result;\n                        const text = result.text || '';\n                        // 只有当有文本内容时才追加结果\n                        if (text && text.trim() !== '') {\n                            appendResult(text, result.is_final || false);\n                        }\n                    } else if (data.trans_result) {\n                        // 新格式处理\n                        console.log(\"Recognition result:\", data);\n                        const text = data.trans_result.text || '';\n                        if (text && text.trim() !== '') {\n                            appendResult(text, data.is_final || false);\n                        }\n                    } else if (data.text || data.partial) {\n                        // 另一种可能的格式\n                        const text = data.text || data.partial;\n                        if (text && text.trim() !== '') {\n                            appendResult(text, data.is_final || false);\n                        }\n                    } else {\n                        // 未知格式，记录但不显示空结果\n                        console.log(\"Received unrecognized data format:\", data);\n                        if (JSON.stringify(data) !== '{}' && !data.audio_info) {\n                            appendResult(JSON.stringify(data), false);\n                        }\n                    }\n                };\n                \n                websocket.onclose = function(event) {\n                    console.log(\"WebSocket关闭:\", event);\n                    if (isRecording) {\n                        updateStatus('WebSocket连接已关闭', false, 'stt');\n                        stopLocalRecording();\n                        \n                        // 更新UI\n                        document.getElementById('startBtn').disabled = false;\n                        document.getElementById('stopBtn').disabled = true;\n                        document.getElementById('startBtn').classList.remove('recording');\n                        isRecording = false;\n                    }\n                };\n                \n                websocket.onerror = function(error) {\n                    console.error(\"WebSocket错误:\", error);\n                    updateStatus(`WebSocket错误，请检查服务器是否运行`, true, 'stt');\n                    stopLocalRecording();\n                    \n                    // 更新UI\n                    document.getElementById('startBtn').disabled = false;\n                    document.getElementById('stopBtn').disabled = true;\n                    document.getElementById('startBtn').classList.remove('recording');\n                    isRecording = false;\n                };\n                \n                // 更新UI - 在WebSocket连接完成后修改按钮状态\n                document.getElementById('startBtn').disabled = true;\n                document.getElementById('stopBtn').disabled = false;\n                document.getElementById('startBtn').classList.add('recording');\n                \n            } catch (error) {\n                updateStatus(`启动录音失败: ${error.message}`, true, 'stt');\n                console.error(\"启动录音错误:\", error);\n                \n                // 恢复UI状态\n                document.getElementById('startBtn').disabled = false;\n                document.getElementById('stopBtn').disabled = true;\n                document.getElementById('startBtn').classList.remove('recording');\n            }\n        }\n        \n        // 启动MediaRecorder开始录制\n        function startMediaRecorder(stream) {\n            updateStatus('<span class=\"recording-indicator\"></span>录音中...', false, 'stt');\n            isRecording = true;\n            \n            // 创建音频处理管道\n            const sourceNode = audioContext.createMediaStreamSource(stream);\n            const processorNode = audioContext.createScriptProcessor(4096, 1, 1);\n            \n            processorNode.onaudioprocess = function(e) {\n                if (!isRecording) return;\n                \n                // 获取PCM格式的音频数据\n                const inputData = e.inputBuffer.getChannelData(0);\n                \n                // 将Float32Array转换为Int16Array (16-bit PCM)\n                const pcmData = new Int16Array(inputData.length);\n                for (let i = 0; i < inputData.length; i++) {\n                    // 将[-1,1]范围的float值转换为16位整数范围\n                    pcmData[i] = Math.max(-32768, Math.min(32767, Math.floor(inputData[i] * 32767)));\n                }\n                \n                // 直接发送PCM数据到服务器\n                if (websocket && websocket.readyState === WebSocket.OPEN && isRecording) {\n                    // 输出调试信息\n                    console.log(`发送PCM数据: 长度=${pcmData.length}, 采样率=${audioContext.sampleRate}Hz, 第一个样本值=${pcmData[0]}`);\n                    \n                    // 将Int16Array发送为二进制数据\n                    websocket.send(pcmData.buffer);\n                }\n            };\n            \n            // 连接节点\n            sourceNode.connect(processorNode);\n            processorNode.connect(audioContext.destination);\n            \n            // 保存节点引用，以便于后续停止处理\n            this.sourceNode = sourceNode;\n            this.processorNode = processorNode;\n            \n            const audioInfo = document.createElement('div');\n            audioInfo.className = 'audio-info';\n            audioInfo.id = 'audioInfo';\n            audioInfo.innerHTML = `\n                <strong>音频信息:</strong>\n                <ul style=\"margin: 5px 0; padding-left: 20px;\">\n                    <li>采样率: ${audioContext.sampleRate} Hz</li>\n                    <li>声道数: 1</li>\n                    <li>格式: PCM 16-bit</li>\n                    <li>编码: raw (未压缩)</li>\n                </ul>\n            `;\n            \n            const statusElement = document.getElementById('stt-status');\n            const existingInfo = document.getElementById('audioInfo');\n            if (existingInfo) {\n                existingInfo.remove();\n            }\n            statusElement.after(audioInfo);\n        }\n        \n        // 停止录音\n        function stopRecording() {\n            if (!isRecording) return;\n            \n            // 立即设置标志位，阻止后续音频数据发送\n            isRecording = false;\n            updateStatus('停止录音...', false, 'stt');\n            \n            // 立即停止本地录音设备\n            stopLocalRecording();\n            \n            // 发送结束信号到服务器并立即关闭连接\n            if (websocket && websocket.readyState === WebSocket.OPEN) {\n                try {\n                    // 发送一个空的buffer作为结束标记，服务器会将其识别为最后一个音频包\n                    console.log(\"发送空的结束标记...\");\n                    websocket.send(new ArrayBuffer(0));\n                    \n                    // 等待一段时间后关闭WebSocket，给服务器处理最后一个音频包的时间\n                    setTimeout(() => {\n                        console.log(\"关闭WebSocket连接...\");\n                        updateStatus('识别已终止', false, 'stt');\n                        websocket.close(1000, \"正常关闭\");\n                        websocket = null;\n                    }, 1000);\n                } catch (error) {\n                    console.error(\"关闭WebSocket时出错:\", error);\n                    websocket = null;\n                }\n            }\n            \n            // 更新UI\n            document.getElementById('startBtn').disabled = false;\n            document.getElementById('stopBtn').disabled = true;\n            document.getElementById('startBtn').classList.remove('recording');\n        }\n        \n        // 停止本地录音设备\n        function stopLocalRecording() {\n            if (this.sourceNode) {\n                // 断开节点连接，彻底停止音频数据流动\n                this.sourceNode.disconnect();\n                this.processorNode.disconnect();\n                this.sourceNode = null;\n                this.processorNode = null;\n            }\n        }\n        \n        // 释放所有资源\n        function releaseResources() {\n            if (audioStream) {\n                audioStream.getTracks().forEach(track => track.stop());\n                audioStream = null;\n            }\n            \n            if (websocket && websocket.readyState !== WebSocket.CLOSED) {\n                websocket.close();\n                websocket = null;\n            }\n            \n            if (ttsWebsocket && ttsWebsocket.readyState !== WebSocket.CLOSED) {\n                ttsWebsocket.close();\n                ttsWebsocket = null;\n            }\n        }\n        \n        // 添加结果到输出区域\n        function appendResult(result, isFinal) {\n            if (!result) return;\n            \n            const outputContainer = document.getElementById('outputContainer');\n            const resultDiv = document.createElement('div');\n            resultDiv.className = `text-result ${isFinal ? 'final' : 'interim'}`;\n            \n            // 格式化时间戳\n            const timestamp = new Date().toLocaleTimeString();\n            const prefix = isFinal ? '最终结果' : '临时结果';\n            \n            // 处理不同响应格式\n            let textContent = '';\n            let resultInfo = '';\n            \n            if (typeof result === 'string') {\n                textContent = result;\n            } else if (result.text) {\n                textContent = result.text;\n                \n                if (result.utterances) {\n                    const definiteUtterances = result.utterances.filter(u => u.definite);\n                    if (definiteUtterances.length > 0) {\n                        const utterance = definiteUtterances[0];\n                        resultInfo = `<small>[${utterance.start_time}ms-${utterance.end_time}ms]</small>`;\n                    }\n                }\n                \n                if (result.audio_info) {\n                    const audioDuration = result.audio_info.duration || 0;\n                    resultInfo += ` <small>音频长度: ${(audioDuration/1000).toFixed(1)}秒</small>`;\n                }\n            } else if (result.result) {\n                textContent = result.result;\n            } else if (result.trans_result && result.trans_result.text) {\n                textContent = result.trans_result.text;\n            } else {\n                textContent = JSON.stringify(result);\n            }\n            \n            resultDiv.innerHTML = `\n                <strong>${prefix} [${timestamp}]:</strong> ${textContent}\n                ${resultInfo ? `<div>${resultInfo}</div>` : ''}\n            `;\n            \n            // 如果是最终结果，将其添加到顶部，否则追加到最后\n            if (isFinal) {\n                // 在容器顶部插入\n                if (outputContainer.firstChild) {\n                    outputContainer.insertBefore(resultDiv, outputContainer.firstChild);\n                } else {\n                    outputContainer.appendChild(resultDiv);\n                }\n                \n                // 如果最终结果有文本，可以自动将其填充到TTS输入框中\n                if (textContent && textContent.trim() !== '') {\n                    document.getElementById('textInput').value = textContent;\n                }\n            } else {\n                // 查找并替换之前的临时结果\n                const interimResults = outputContainer.querySelectorAll('.interim');\n                if (interimResults.length > 0) {\n                    outputContainer.replaceChild(resultDiv, interimResults[interimResults.length - 1]);\n                } else {\n                    outputContainer.appendChild(resultDiv);\n                }\n            }\n            \n            outputContainer.scrollTop = 0; // 滚动到顶部查看最新结果\n        }\n        \n        // 清空识别结果\n        function clearResults() {\n            const outputContainer = document.getElementById('outputContainer');\n            outputContainer.innerHTML = '<div class=\"text-result\">识别结果将显示在这里...</div>';\n            updateStatus('结果已清空', false, 'stt');\n        }\n        \n        // ===================== TTS 功能 =====================\n        async function convertToSpeech() {\n            const text = document.getElementById('textInput').value;\n            const button = document.getElementById('convertBtn');\n            const status = document.getElementById('tts-status');\n            const audioPlayer = document.getElementById('audioPlayer');\n\n            if (!text) {\n                updateStatus('请输入文字', false, 'tts');\n                return;\n            }\n\n            try {\n                button.disabled = true;\n                audioChunks = []; // 清空之前的音频块\n                \n                // 关闭现有WebSocket连接(如果有的话)\n                if (ttsWebsocket && ttsWebsocket.readyState !== WebSocket.CLOSED) {\n                    ttsWebsocket.close();\n                    ttsWebsocket = null;\n                }\n                \n                updateStatus('正在连接TTS服务...', false, 'tts');\n                \n                // 创建新的WebSocket连接\n                ttsWebsocket = new WebSocket(APP_CONFIG.TTS_ENDPOINT);\n                \n                ttsWebsocket.onopen = function() {\n                    updateStatus('正在转换...', false, 'tts');\n                    // 发送文本到服务器\n                    ttsWebsocket.send(JSON.stringify({\n                        text: text\n                    }));\n                };\n                \n                ttsWebsocket.onmessage = function(event) {\n                    // 处理二进制音频数据\n                    if (event.data instanceof Blob) {\n                        audioChunks.push(event.data);\n                    } \n                    // 处理JSON消息\n                    else {\n                        try {\n                            const data = JSON.parse(event.data);\n                            \n                            // 处理完成消息\n                            if (data.status === 'completed') {\n                                // 合并音频块并播放\n                                const audioBlob = new Blob(audioChunks, {type: 'audio/mp3'});\n                                const audioUrl = URL.createObjectURL(audioBlob);\n                                \n                                // 设置音频源并播放\n                                audioPlayer.src = audioUrl;\n                                audioPlayer.play().then(() => {\n                                    updateStatus('正在播放...', false, 'tts');\n                                }).catch(error => {\n                                    console.error('播放失败:', error);\n                                    updateStatus('播放失败', true, 'tts');\n                                });\n                                \n                                // 当音频播放完毕时释放 URL\n                                audioPlayer.onended = () => {\n                                    URL.revokeObjectURL(audioUrl);\n                                    updateStatus('播放完成', false, 'tts');\n                                };\n                            }\n                            // 处理错误消息\n                            else if (data.error) {\n                                console.error('TTS服务错误:', data.error);\n                                updateStatus(`错误: ${data.error}`, true, 'tts');\n                                \n                                // 服务器端可能有async iterator错误，提供更友好的错误信息\n                                if (data.error.includes('__aiter__') || data.error.includes('coroutine')) {\n                                    updateStatus('服务器配置错误: TTS生成器实现有问题', true, 'tts');\n                                    console.error('服务器端async iterator实现错误，需要修复voice_service.py中generate_speech方法');\n                                }\n                                \n                                button.disabled = false;\n                            }\n                        } catch (e) {\n                            console.error('解析消息错误:', e);\n                        }\n                    }\n                };\n                \n                ttsWebsocket.onclose = function() {\n                    if (audioChunks.length === 0) {\n                        updateStatus('连接已关闭，未收到音频数据', true, 'tts');\n                    }\n                    button.disabled = false;\n                };\n                \n                ttsWebsocket.onerror = function(error) {\n                    updateStatus(`WebSocket错误: ${error.message || '未知错误'}`, true, 'tts');\n                    console.error('TTS WebSocket错误:', error);\n                    button.disabled = false;\n                };\n                \n            } catch (error) {\n                updateStatus(`错误: ${error.message}`, true, 'tts');\n                console.error('TTS错误:', error);\n                button.disabled = false;\n            }\n        }\n        \n        // 通用状态更新函数\n        function updateStatus(message, isError = false, type = 'stt') {\n            const statusElement = document.getElementById(`${type}-status`);\n            if (statusElement) {\n                statusElement.innerHTML = message;\n                statusElement.style.color = isError ? '#dc3545' : '#666';\n            }\n        }\n        \n        // 禁用所有按钮\n        function disableButtons() {\n            document.getElementById('startBtn').disabled = true;\n            document.getElementById('stopBtn').disabled = true;\n        }\n        \n        // 页面关闭前释放资源\n        window.addEventListener('beforeunload', function() {\n            releaseResources();\n        });\n        \n        // 初始化页面\n        window.onload = initialize;\n    </script>\n</body>\n</html> "
  },
  {
    "path": "test/backend/__init__.py",
    "content": "# This file marks the test/backend directory as a Python package.\n# The commented code below was intended to dynamically add the backend directory\n# to Python's system path, allowing test code to import backend modules.\n# Without this file, import statements that rely on the test.backend package structure\n# (e.g., \"from test.backend import xxx\") would fail."
  },
  {
    "path": "test/backend/agents/test_agent_run_manager.py",
    "content": "import pytest\nimport threading\nfrom unittest.mock import Mock, MagicMock\nfrom backend.agents.agent_run_manager import AgentRunManager, agent_run_manager\n\n\nclass TestAgentRunManager:\n    def setup_method(self):\n        \"\"\"Reset manager before each test\"\"\"\n        # Create a fresh instance for testing\n        self.manager = AgentRunManager()\n        # Clear any existing state\n        self.manager.agent_runs.clear()\n\n    def test_singleton_pattern(self):\n        \"\"\"Test that AgentRunManager is a singleton\"\"\"\n        manager1 = AgentRunManager()\n        manager2 = AgentRunManager()\n        assert manager1 is manager2\n\n    def test_get_run_key(self):\n        \"\"\"Test _get_run_key method generates correct keys\"\"\"\n        key1 = self.manager._get_run_key(123, \"user1\")\n        key2 = self.manager._get_run_key(456, \"user1\")\n        key3 = self.manager._get_run_key(123, \"user2\")\n        \n        assert key1 == \"user1:123\"\n        assert key2 == \"user1:456\"\n        assert key3 == \"user2:123\"\n        assert key1 != key2\n        assert key1 != key3\n        assert key2 != key3\n\n    def test_register_agent_run(self):\n        \"\"\"Test registering an agent run\"\"\"\n        conversation_id = 123\n        user_id = \"user1\"\n        mock_run_info = Mock()\n        \n        self.manager.register_agent_run(conversation_id, mock_run_info, user_id)\n        \n        # Check that the run is registered with correct key\n        run_key = f\"{user_id}:{conversation_id}\"\n        assert run_key in self.manager.agent_runs\n        assert self.manager.agent_runs[run_key] == mock_run_info\n\n    def test_register_agent_run_multiple_users(self):\n        \"\"\"Test registering agent runs for multiple users with same conversation_id\"\"\"\n        conversation_id = 123\n        user1_id = \"user1\"\n        user2_id = \"user2\"\n        mock_run_info1 = Mock()\n        mock_run_info2 = Mock()\n        \n        # Register runs for different users with same conversation_id\n        self.manager.register_agent_run(conversation_id, mock_run_info1, user1_id)\n        self.manager.register_agent_run(conversation_id, mock_run_info2, user2_id)\n        \n        # Both should be registered with different keys\n        key1 = f\"{user1_id}:{conversation_id}\"\n        key2 = f\"{user2_id}:{conversation_id}\"\n        assert key1 in self.manager.agent_runs\n        assert key2 in self.manager.agent_runs\n        assert self.manager.agent_runs[key1] == mock_run_info1\n        assert self.manager.agent_runs[key2] == mock_run_info2\n\n    def test_register_agent_run_same_user_different_conversations(self):\n        \"\"\"Test registering agent runs for same user with different conversation_ids\"\"\"\n        user_id = \"user1\"\n        conv_id1 = 123\n        conv_id2 = 456\n        mock_run_info1 = Mock()\n        mock_run_info2 = Mock()\n        \n        # Register runs for same user with different conversation_ids\n        self.manager.register_agent_run(conv_id1, mock_run_info1, user_id)\n        self.manager.register_agent_run(conv_id2, mock_run_info2, user_id)\n        \n        # Both should be registered with different keys\n        key1 = f\"{user_id}:{conv_id1}\"\n        key2 = f\"{user_id}:{conv_id2}\"\n        assert key1 in self.manager.agent_runs\n        assert key2 in self.manager.agent_runs\n        assert self.manager.agent_runs[key1] == mock_run_info1\n        assert self.manager.agent_runs[key2] == mock_run_info2\n\n    def test_unregister_agent_run(self):\n        \"\"\"Test unregistering an agent run\"\"\"\n        conversation_id = 123\n        user_id = \"user1\"\n        mock_run_info = Mock()\n        \n        # Register first\n        self.manager.register_agent_run(conversation_id, mock_run_info, user_id)\n        run_key = f\"{user_id}:{conversation_id}\"\n        assert run_key in self.manager.agent_runs\n        \n        # Then unregister\n        self.manager.unregister_agent_run(conversation_id, user_id)\n        assert run_key not in self.manager.agent_runs\n\n    def test_unregister_agent_run_nonexistent(self):\n        \"\"\"Test unregistering a non-existent agent run\"\"\"\n        # Should not raise an exception\n        self.manager.unregister_agent_run(999, \"nonexistent_user\")\n        assert len(self.manager.agent_runs) == 0\n\n    def test_get_agent_run_info(self):\n        \"\"\"Test getting agent run info\"\"\"\n        conversation_id = 123\n        user_id = \"user1\"\n        mock_run_info = Mock()\n        \n        # Initially no run info\n        assert self.manager.get_agent_run_info(conversation_id, user_id) is None\n        \n        # Register a run\n        self.manager.register_agent_run(conversation_id, mock_run_info, user_id)\n        \n        # Should return the registered run info\n        retrieved_info = self.manager.get_agent_run_info(conversation_id, user_id)\n        assert retrieved_info == mock_run_info\n\n    def test_get_agent_run_info_wrong_user(self):\n        \"\"\"Test getting agent run info with wrong user_id\"\"\"\n        conversation_id = 123\n        user1_id = \"user1\"\n        user2_id = \"user2\"\n        mock_run_info = Mock()\n        \n        # Register run for user1\n        self.manager.register_agent_run(conversation_id, mock_run_info, user1_id)\n        \n        # Try to get run info for user2 (should return None)\n        retrieved_info = self.manager.get_agent_run_info(conversation_id, user2_id)\n        assert retrieved_info is None\n\n    def test_stop_agent_run(self):\n        \"\"\"Test stopping an agent run\"\"\"\n        conversation_id = 123\n        user_id = \"user1\"\n        mock_run_info = Mock()\n        mock_stop_event = Mock()\n        mock_run_info.stop_event = mock_stop_event\n        \n        # Register a run\n        self.manager.register_agent_run(conversation_id, mock_run_info, user_id)\n        \n        # Stop the run\n        result = self.manager.stop_agent_run(conversation_id, user_id)\n        \n        assert result is True\n        mock_stop_event.set.assert_called_once()\n\n    def test_stop_agent_run_nonexistent(self):\n        \"\"\"Test stopping a non-existent agent run\"\"\"\n        result = self.manager.stop_agent_run(999, \"nonexistent_user\")\n        assert result is False\n\n    def test_stop_agent_run_wrong_user(self):\n        \"\"\"Test stopping an agent run with wrong user_id\"\"\"\n        conversation_id = 123\n        user1_id = \"user1\"\n        user2_id = \"user2\"\n        mock_run_info = Mock()\n        \n        # Register run for user1\n        self.manager.register_agent_run(conversation_id, mock_run_info, user1_id)\n        \n        # Try to stop run for user2 (should return False)\n        result = self.manager.stop_agent_run(conversation_id, user2_id)\n        assert result is False\n\n    def test_thread_safety(self):\n        \"\"\"Test thread safety of the manager\"\"\"\n        conversation_id = 123\n        user_id = \"user1\"\n        mock_run_info = Mock()\n        \n        def register_run():\n            self.manager.register_agent_run(conversation_id, mock_run_info, user_id)\n        \n        def unregister_run():\n            self.manager.unregister_agent_run(conversation_id, user_id)\n        \n        # Create multiple threads\n        threads = []\n        for i in range(10):\n            if i % 2 == 0:\n                thread = threading.Thread(target=register_run)\n            else:\n                thread = threading.Thread(target=unregister_run)\n            threads.append(thread)\n        \n        # Start all threads\n        for thread in threads:\n            thread.start()\n        \n        # Wait for all threads to complete\n        for thread in threads:\n            thread.join()\n        \n        # The manager should still be in a consistent state\n        # (exact state depends on timing, but should not crash)\n        assert isinstance(self.manager.agent_runs, dict)\n\n    def test_debug_mode_same_conversation_id(self):\n        \"\"\"Test that debug mode with same conversation_id (-1) works for different users\"\"\"\n        conversation_id = -1  # Debug mode\n        user1_id = \"user1\"\n        user2_id = \"user2\"\n        mock_run_info1 = Mock()\n        mock_run_info2 = Mock()\n        \n        # Register runs for different users with same conversation_id (-1)\n        self.manager.register_agent_run(conversation_id, mock_run_info1, user1_id)\n        self.manager.register_agent_run(conversation_id, mock_run_info2, user2_id)\n        \n        # Both should be registered with different keys\n        key1 = f\"{user1_id}:{conversation_id}\"\n        key2 = f\"{user2_id}:{conversation_id}\"\n        assert key1 in self.manager.agent_runs\n        assert key2 in self.manager.agent_runs\n        assert self.manager.agent_runs[key1] == mock_run_info1\n        assert self.manager.agent_runs[key2] == mock_run_info2\n        \n        # Should be able to get and stop each run independently\n        retrieved1 = self.manager.get_agent_run_info(conversation_id, user1_id)\n        retrieved2 = self.manager.get_agent_run_info(conversation_id, user2_id)\n        assert retrieved1 == mock_run_info1\n        assert retrieved2 == mock_run_info2\n        \n        # Stop one run, the other should still exist\n        result1 = self.manager.stop_agent_run(conversation_id, user1_id)\n        assert result1 is True\n        \n        # user1's run should be stopped, user2's should still exist\n        retrieved1_after = self.manager.get_agent_run_info(conversation_id, user1_id)\n        retrieved2_after = self.manager.get_agent_run_info(conversation_id, user2_id)\n        assert retrieved1_after == mock_run_info1  # Still exists but stopped\n        assert retrieved2_after == mock_run_info2  # Still exists and running\n\n    def test_global_instance(self):\n        \"\"\"Test that the global agent_run_manager instance works\"\"\"\n        conversation_id = 123\n        user_id = \"user1\"\n        mock_run_info = Mock()\n        \n        # Use the global instance\n        agent_run_manager.register_agent_run(conversation_id, mock_run_info, user_id)\n        \n        # Should be able to retrieve it\n        retrieved_info = agent_run_manager.get_agent_run_info(conversation_id, user_id)\n        assert retrieved_info == mock_run_info\n        \n        # Should be able to stop it\n        result = agent_run_manager.stop_agent_run(conversation_id, user_id)\n        assert result is True\n        \n        # Clean up\n        agent_run_manager.unregister_agent_run(conversation_id, user_id)\n\n    def test_key_generation_edge_cases(self):\n        \"\"\"Test _get_run_key with edge cases\"\"\"\n        # Test with empty string user_id\n        key1 = self.manager._get_run_key(123, \"\")\n        assert key1 == \":123\"\n        \n        # Test with special characters in user_id\n        key2 = self.manager._get_run_key(123, \"user:with:colons\")\n        assert key2 == \"user:with:colons:123\"\n        \n        # Test with negative conversation_id\n        key3 = self.manager._get_run_key(-1, \"user1\")\n        assert key3 == \"user1:-1\"\n        \n        # Test with zero conversation_id\n        key4 = self.manager._get_run_key(0, \"user1\")\n        assert key4 == \"user1:0\"\n\n    def test_concurrent_registration_same_key(self):\n        \"\"\"Test concurrent registration with same key (should overwrite)\"\"\"\n        conversation_id = 123\n        user_id = \"user1\"\n        mock_run_info1 = Mock()\n        mock_run_info2 = Mock()\n        \n        # Register first run\n        self.manager.register_agent_run(conversation_id, mock_run_info1, user_id)\n        \n        # Register second run with same key (should overwrite)\n        self.manager.register_agent_run(conversation_id, mock_run_info2, user_id)\n        \n        # Should have the second run info\n        retrieved_info = self.manager.get_agent_run_info(conversation_id, user_id)\n        assert retrieved_info == mock_run_info2\n        assert retrieved_info != mock_run_info1 "
  },
  {
    "path": "test/backend/agents/test_create_agent_info.py",
    "content": "import pytest\nimport sys\nimport types\nimport importlib.util\nfrom pathlib import Path\nfrom unittest.mock import AsyncMock, MagicMock, patch, Mock, PropertyMock\n\nfrom test.common.test_mocks import bootstrap_test_env\n\nenv_state = bootstrap_test_env()\nconsts_const = env_state[\"mock_const\"]\nTEST_ROOT = Path(__file__).resolve().parents[2]\nPROJECT_ROOT = TEST_ROOT.parent\n\n# Ensure project backend package is found before test/backend\nfor _path in (str(PROJECT_ROOT), str(TEST_ROOT)):\n    if _path not in sys.path:\n        sys.path.insert(0, _path)\n\n# Utilities ---------------------------------------------------------------\ndef _create_stub_module(name: str, **attrs):\n    \"\"\"Return a lightweight module stub with the provided attributes.\"\"\"\n    module = types.ModuleType(name)\n    for attr_name, attr_value in attrs.items():\n        setattr(module, attr_name, attr_value)\n    return module\n\n\n# Configure required constants via shared bootstrap env\nconsts_const.MINIO_ENDPOINT = \"http://localhost:9000\"\nconsts_const.MINIO_ACCESS_KEY = \"test_access_key\"\nconsts_const.MINIO_SECRET_KEY = \"test_secret_key\"\nconsts_const.MINIO_REGION = \"us-east-1\"\nconsts_const.MINIO_DEFAULT_BUCKET = \"test-bucket\"\nconsts_const.POSTGRES_HOST = \"localhost\"\nconsts_const.POSTGRES_USER = \"test_user\"\nconsts_const.NEXENT_POSTGRES_PASSWORD = \"test_password\"\nconsts_const.POSTGRES_DB = \"test_db\"\nconsts_const.POSTGRES_PORT = 5432\nconsts_const.DEFAULT_TENANT_ID = \"default_tenant\"\nconsts_const.LOCAL_MCP_SERVER = \"http://localhost:5011\"\nconsts_const.MODEL_CONFIG_MAPPING = {\"llm\": \"llm_config\"}\nconsts_const.LANGUAGE = {\"ZH\": \"zh\"}\nconsts_const.DATA_PROCESS_SERVICE = \"https://example.com/data-process\"\n\n# Mock utils module\nutils_mock = MagicMock()\nutils_mock.auth_utils = MagicMock()\nutils_mock.auth_utils.get_current_user_id = MagicMock(return_value=(\"test_user_id\", \"test_tenant_id\"))\n\n# Add the mocked utils module to sys.modules\nsys.modules['utils'] = utils_mock\nsys.modules['utils.auth_utils'] = utils_mock.auth_utils\n\n# Provide a stub for the `boto3` module so that it can be imported safely even\n# if the testing environment does not have it available.\nboto3_mock = MagicMock()\nsys.modules['boto3'] = boto3_mock\nsys.modules['dotenv'] = MagicMock(load_dotenv=MagicMock())\n\n# Mock the entire client module\nclient_mock = MagicMock()\nclient_mock.MinioClient = MagicMock()\nclient_mock.PostgresClient = MagicMock()\nclient_mock.db_client = MagicMock()\nclient_mock.get_db_session = MagicMock()\nclient_mock.as_dict = MagicMock()\n\n# Add the mocked client module to sys.modules\nsys.modules['backend.database.client'] = client_mock\nsys.modules['database.client'] = _create_stub_module(\n    \"database.client\",\n    minio_client=MagicMock(),\n    postgres_client=MagicMock(),\n    db_client=MagicMock(),\n    get_db_session=MagicMock(),\n    as_dict=MagicMock(),\n)\n\n# Mock external dependencies before imports\nmock_message_observer = MagicMock()\nsys.modules['nexent.core.utils.observer'] = MagicMock(MessageObserver=mock_message_observer)\nsys.modules['nexent.core.agents.agent_model'] = MagicMock()\nsys.modules['smolagents.agents'] = MagicMock()\nsys.modules['smolagents.utils'] = MagicMock()\nsys.modules['services.remote_mcp_service'] = MagicMock()\ndatabase_module = _create_stub_module(\"database\")\nsys.modules['database'] = database_module\nsys.modules['database.agent_db'] = MagicMock()\nsys.modules['database.tool_db'] = MagicMock()\nsys.modules['database.model_management_db'] = MagicMock()\nsys.modules['database.agent_version_db'] = MagicMock()\nsys.modules['services.vectordatabase_service'] = MagicMock()\nsys.modules['services.tenant_config_service'] = MagicMock()\nsys.modules['utils.prompt_template_utils'] = MagicMock()\nsys.modules['utils.config_utils'] = MagicMock()\nsys.modules['utils.langchain_utils'] = MagicMock()\nsys.modules['utils.model_name_utils'] = MagicMock()\nsys.modules['langchain_core.tools'] = MagicMock()\n# Build services module hierarchy with minimal functionality\nservices_module = _create_stub_module(\"services\")\nsys.modules['services'] = services_module\nsys.modules['services.image_service'] = _create_stub_module(\n    \"services.image_service\", get_vlm_model=MagicMock(return_value=\"stub_vlm\")\n)\nsys.modules['services.memory_config_service'] = MagicMock()\n# Extend services hierarchy with additional stubs\nsys.modules['services.file_management_service'] = _create_stub_module(\n    \"services.file_management_service\",\n    get_llm_model=MagicMock(return_value=\"stub_llm_model\"),\n)\nsys.modules['services.tool_configuration_service'] = _create_stub_module(\n    \"services.tool_configuration_service\",\n    initialize_tools_on_startup=AsyncMock(),\n)\nsys.modules['nexent.memory.memory_service'] = MagicMock()\n\n# Build top-level nexent module to avoid importing the real package\nnexent_module = _create_stub_module(\"nexent\", MessageObserver=mock_message_observer)\nsys.modules['nexent'] = nexent_module\n\n# Create nested modules for nexent.core to satisfy imports safely\nsys.modules['nexent.core'] = _create_stub_module(\"nexent.core\")\nsys.modules['nexent.core.agents'] = _create_stub_module(\"nexent.core.agents\")\nsys.modules['nexent.core.utils'] = _create_stub_module(\"nexent.core.utils\")\n\n# Create mock classes that might be imported\nmock_agent_config = MagicMock()\nmock_model_config = MagicMock()\nmock_tool_config = MagicMock()\nmock_agent_run_info = MagicMock()\n\nsys.modules['nexent.core.agents.agent_model'].AgentConfig = mock_agent_config\nsys.modules['nexent.core.agents.agent_model'].ModelConfig = mock_model_config\nsys.modules['nexent.core.agents.agent_model'].ToolConfig = mock_tool_config\nsys.modules['nexent.core.agents.agent_model'].AgentRunInfo = mock_agent_run_info\nsys.modules['nexent.core.utils.observer'].MessageObserver = mock_message_observer\n\n# Mock BASE_BUILTIN_MODULES\nsys.modules['smolagents.utils'].BASE_BUILTIN_MODULES = [\"os\", \"sys\", \"json\"]\n\n# Provide lightweight smolagents package to prevent circular imports\nsmolagents_module = _create_stub_module(\"smolagents\")\nsmolagents_tools_module = _create_stub_module(\"smolagents.tools\", Tool=MagicMock())\nsmolagents_module.tools = smolagents_tools_module\nsys.modules['smolagents'] = smolagents_module\nsys.modules['smolagents.tools'] = smolagents_tools_module\n\n# Ensure real backend.agents.create_agent_info is available and uses our stubs\nbackend_pkg = sys.modules.get(\"backend\")\nif backend_pkg is None:\n    backend_pkg = types.ModuleType(\"backend\")\n    backend_pkg.__path__ = [str((TEST_ROOT.parent) / \"backend\")]\n    sys.modules[\"backend\"] = backend_pkg\n\nagents_pkg = sys.modules.get(\"backend.agents\")\nif agents_pkg is None:\n    agents_pkg = types.ModuleType(\"backend.agents\")\n    agents_pkg.__path__ = [str((TEST_ROOT.parent) / \"backend\" / \"agents\")]\n    sys.modules[\"backend.agents\"] = agents_pkg\n    setattr(backend_pkg, \"agents\", agents_pkg)\n\ncreate_agent_info_path = (TEST_ROOT.parent / \"backend\" / \"agents\" / \"create_agent_info.py\")\nspec = importlib.util.spec_from_file_location(\n    \"backend.agents.create_agent_info\", create_agent_info_path\n)\ncreate_agent_info_module = importlib.util.module_from_spec(spec)\nsys.modules[\"backend.agents.create_agent_info\"] = create_agent_info_module\nassert spec.loader is not None\nspec.loader.exec_module(create_agent_info_module)\nsetattr(agents_pkg, \"create_agent_info\", create_agent_info_module)\n\n# Now import the symbols under test\nfrom backend.agents.create_agent_info import (\n    discover_langchain_tools,\n    create_tool_config_list,\n    create_agent_config,\n    create_model_config_list,\n    filter_mcp_servers_and_tools,\n    create_agent_run_info,\n    join_minio_file_description_to_query,\n    prepare_prompt_templates\n)\n\n# Import constants for testing\nfrom consts.const import MODEL_CONFIG_MAPPING\n\n\nclass TestDiscoverLangchainTools:\n    \"\"\"Tests for the discover_langchain_tools function\"\"\"\n\n    @pytest.mark.asyncio\n    async def test_discover_langchain_tools_success(self):\n        \"\"\"Test case for successfully discovering LangChain tools\"\"\"\n        # Prepare test data\n        mock_tool1 = Mock()\n        mock_tool1.name = \"test_tool1\"\n\n        mock_tool2 = Mock()\n        mock_tool2.name = \"test_tool2\"\n\n        # Mock the import statement inside the function\n        mock_discover_func = Mock(return_value=[\n            (mock_tool1, \"tool1.py\"),\n            (mock_tool2, \"tool2.py\")\n        ])\n\n        with patch('backend.agents.create_agent_info.logger') as mock_logger:\n            # Mock the import by patching the globals within the function scope\n            with patch.dict('sys.modules', {\n                'utils.langchain_utils': Mock(discover_langchain_modules=mock_discover_func)\n            }):\n                # Execute the test\n                result = await discover_langchain_tools()\n\n                # Verify the results\n                assert len(result) == 2\n                assert result[0] == mock_tool1\n                assert result[1] == mock_tool2\n\n                # Verify calls\n                mock_discover_func.assert_called_once()\n                assert mock_logger.info.call_count == 2\n                mock_logger.info.assert_any_call(\n                    \"Loaded LangChain tool 'test_tool1' from tool1.py\")\n                mock_logger.info.assert_any_call(\n                    \"Loaded LangChain tool 'test_tool2' from tool2.py\")\n\n    @pytest.mark.asyncio\n    async def test_discover_langchain_tools_empty(self):\n        \"\"\"Test case for when no tools are discovered\"\"\"\n        mock_discover_func = Mock(return_value=[])\n\n        with patch.dict('sys.modules', {\n            'utils.langchain_utils': Mock(discover_langchain_modules=mock_discover_func)\n        }):\n            result = await discover_langchain_tools()\n\n            assert len(result) == 0\n            assert result == []\n            mock_discover_func.assert_called_once()\n\n    @pytest.mark.asyncio\n    async def test_discover_langchain_tools_module_exception(self):\n        \"\"\"Test case for when discover_langchain_modules throws an exception\"\"\"\n        mock_discover_func = Mock(side_effect=Exception(\"模块发现错误\"))\n\n        with patch('backend.agents.create_agent_info.logger') as mock_logger:\n            with patch.dict('sys.modules', {\n                'utils.langchain_utils': Mock(discover_langchain_modules=mock_discover_func)\n            }):\n                result = await discover_langchain_tools()\n\n                assert len(result) == 0\n                assert result == []\n                mock_logger.error.assert_called_once_with(\n                    \"Unexpected error scanning LangChain tools directory: 模块发现错误\")\n\n    @pytest.mark.asyncio\n    async def test_discover_langchain_tools_processing_exception(self):\n        \"\"\"Test case for when an error occurs while processing a single tool\"\"\"\n        mock_good_tool = Mock()\n        mock_good_tool.name = \"good_tool\"\n\n        # Create a tool that throws an exception when accessing the name attribute\n        mock_error_tool = Mock()\n        type(mock_error_tool).name = PropertyMock(\n            side_effect=Exception(\"工具处理错误\"))\n\n        mock_discover_func = Mock(return_value=[\n            (mock_good_tool, \"good_tool.py\"),\n            (mock_error_tool, \"error_tool.py\")\n        ])\n\n        with patch('backend.agents.create_agent_info.logger') as mock_logger:\n            with patch.dict('sys.modules', {\n                'utils.langchain_utils': Mock(discover_langchain_modules=mock_discover_func)\n            }):\n                result = await discover_langchain_tools()\n\n                # Verify the results - only the valid tool should be returned\n                assert len(result) == 1\n                assert result[0] == mock_good_tool\n\n                # Verify that the error was logged\n                mock_logger.error.assert_called_once()\n                error_call = mock_logger.error.call_args[0][0]\n                assert \"Error processing LangChain tool from error_tool.py:\" in error_call\n\n\nclass TestCreateToolConfigList:\n    \"\"\"Tests for the create_tool_config_list function\"\"\"\n\n    @pytest.mark.asyncio\n    async def test_create_tool_config_list_basic(self):\n        \"\"\"Test case for basic tool configuration list creation\"\"\"\n        with patch('backend.agents.create_agent_info.discover_langchain_tools') as mock_discover, \\\n                patch('backend.agents.create_agent_info.search_tools_for_sub_agent') as mock_search_tools, \\\n                patch('backend.agents.create_agent_info.ToolConfig') as mock_tool_config:\n\n            # Set mock return values\n            mock_discover.return_value = []\n            mock_search_tools.return_value = [\n                {\n                    \"class_name\": \"TestTool\",\n                    \"name\": \"test_tool\",\n                    \"description\": \"A test tool\",\n                    \"inputs\": \"string\",\n                    \"output_type\": \"string\",\n                    \"params\": [{\"name\": \"param1\", \"default\": \"value1\"}],\n                    \"source\": \"local\",\n                    \"usage\": None\n                }\n            ]\n\n            result = await create_tool_config_list(\"agent_1\", \"tenant_1\", \"user_1\")\n\n            assert len(result) == 1\n            # Verify that ToolConfig was called correctly\n            mock_tool_config.assert_called_once_with(\n                class_name=\"TestTool\",\n                name=\"test_tool\",\n                description=\"A test tool\",\n                inputs=\"string\",\n                output_type=\"string\",\n                params={\"param1\": \"value1\"},\n                source=\"local\",\n                usage=None\n            )\n\n    @pytest.mark.asyncio\n    async def test_create_tool_config_list_with_knowledge_base_tool(self):\n        \"\"\"Test case including the knowledge base search tool\"\"\"\n        with patch('backend.agents.create_agent_info.discover_langchain_tools') as mock_discover, \\\n                patch('backend.agents.create_agent_info.search_tools_for_sub_agent') as mock_search_tools, \\\n                patch('backend.agents.create_agent_info.ToolConfig') as mock_tool_config, \\\n                patch('backend.agents.create_agent_info.get_vector_db_core') as mock_get_vector_db_core, \\\n                patch('backend.agents.create_agent_info.get_embedding_model') as mock_embedding:\n\n            mock_discover.return_value = []\n            mock_search_tools.return_value = [\n                {\n                    \"class_name\": \"KnowledgeBaseSearchTool\",\n                    \"name\": \"knowledge_search\",\n                    \"description\": \"Knowledge search tool\",\n                    \"inputs\": \"string\",\n                    \"output_type\": \"string\",\n                    \"params\": [],\n                    \"source\": \"local\",\n                    \"usage\": None\n                }\n            ]\n            mock_vdb_core = \"mock_elastic_core\"\n            mock_get_vector_db_core.return_value = mock_vdb_core\n            mock_embedding.return_value = \"mock_embedding_model\"\n\n            result = await create_tool_config_list(\"agent_1\", \"tenant_1\", \"user_1\")\n\n            assert len(result) == 1\n            # Verify that ToolConfig was called correctly, including knowledge base metadata\n            # Check if the last call was for KnowledgeBaseSearchTool\n            mock_tool_config.assert_called()\n            last_call = mock_tool_config.call_args_list[-1]\n            assert last_call[1]['class_name'] == \"KnowledgeBaseSearchTool\"\n\n    @pytest.mark.asyncio\n    async def test_create_tool_config_list_with_analyze_image_tool(self):\n        \"\"\"Ensure AnalyzeImageTool receives VLM model metadata.\"\"\"\n        mock_tool_instance = MagicMock()\n        mock_tool_instance.class_name = \"AnalyzeImageTool\"\n        mock_tool_config.return_value = mock_tool_instance\n\n        with patch('backend.agents.create_agent_info.discover_langchain_tools', return_value=[]), \\\n                patch('backend.agents.create_agent_info.search_tools_for_sub_agent') as mock_search_tools, \\\n                patch('backend.agents.create_agent_info.get_vlm_model') as mock_get_vlm_model, \\\n                patch('backend.agents.create_agent_info.minio_client', new_callable=MagicMock) as mock_minio_client:\n\n            mock_search_tools.return_value = [\n                {\n                    \"class_name\": \"AnalyzeImageTool\",\n                    \"name\": \"analyze_image\",\n                    \"description\": \"Analyze image tool\",\n                    \"inputs\": \"string\",\n                    \"output_type\": \"string\",\n                    \"params\": [{\"name\": \"prompt\", \"default\": \"describe\"}],\n                    \"source\": \"local\",\n                    \"usage\": None\n                }\n            ]\n            mock_get_vlm_model.return_value = \"mock_vlm_model\"\n\n            result = await create_tool_config_list(\"agent_1\", \"tenant_1\", \"user_1\")\n\n            assert len(result) == 1\n            assert result[0] is mock_tool_instance\n            mock_get_vlm_model.assert_called_once_with(tenant_id=\"tenant_1\")\n            assert mock_tool_instance.metadata == {\n                \"vlm_model\": \"mock_vlm_model\",\n                \"storage_client\": mock_minio_client\n            }\n\n    @pytest.mark.asyncio\n    async def test_create_tool_config_list_with_analyze_text_file_tool(self):\n        \"\"\"Ensure AnalyzeTextFileTool receives text-specific metadata.\"\"\"\n        mock_tool_instance = MagicMock()\n        mock_tool_instance.class_name = \"AnalyzeTextFileTool\"\n        mock_tool_config.return_value = mock_tool_instance\n\n        with patch('backend.agents.create_agent_info.discover_langchain_tools', return_value=[]), \\\n                patch('backend.agents.create_agent_info.search_tools_for_sub_agent') as mock_search_tools, \\\n                patch('backend.agents.create_agent_info.get_llm_model') as mock_get_llm_model, \\\n                patch('backend.agents.create_agent_info.minio_client', new_callable=MagicMock) as mock_minio_client:\n\n            mock_search_tools.return_value = [\n                {\n                    \"class_name\": \"AnalyzeTextFileTool\",\n                    \"name\": \"analyze_text_file\",\n                    \"description\": \"Analyze text file tool\",\n                    \"inputs\": \"string\",\n                    \"output_type\": \"array\",\n                    \"params\": [{\"name\": \"prompt\", \"default\": \"describe\"}],\n                    \"source\": \"local\",\n                    \"usage\": None\n                }\n            ]\n            mock_get_llm_model.return_value = \"mock_llm_model\"\n\n            result = await create_tool_config_list(\"agent_1\", \"tenant_1\", \"user_1\")\n\n            assert len(result) == 1\n            assert result[0] is mock_tool_instance\n            mock_get_llm_model.assert_called_once_with(tenant_id=\"tenant_1\")\n            assert mock_tool_instance.metadata == {\n                \"llm_model\": \"mock_llm_model\",\n                \"storage_client\": mock_minio_client,\n                \"data_process_service_url\": consts_const.DATA_PROCESS_SERVICE,\n            }\n\n    @pytest.mark.asyncio\n    async def test_create_tool_config_list_with_knowledge_base_tool_metadata(self):\n        \"\"\"\n        Test that KnowledgeBaseSearchTool metadata contains only vdb_core and embedding_model.\n        This test verifies the refactored behavior where index_names and name_resolver\n        have been removed from the metadata.\n        \"\"\"\n        mock_tool_instance = MagicMock()\n        mock_tool_instance.class_name = \"KnowledgeBaseSearchTool\"\n        mock_tool_config.return_value = mock_tool_instance\n\n        with patch('backend.agents.create_agent_info.discover_langchain_tools', return_value=[]), \\\n                patch('backend.agents.create_agent_info.search_tools_for_sub_agent') as mock_search_tools, \\\n                patch('backend.agents.create_agent_info.get_vector_db_core') as mock_get_vector_db_core, \\\n                patch('backend.agents.create_agent_info.get_embedding_model') as mock_embedding:\n\n            mock_search_tools.return_value = [\n                {\n                    \"class_name\": \"KnowledgeBaseSearchTool\",\n                    \"name\": \"knowledge_search\",\n                    \"description\": \"Knowledge search tool\",\n                    \"inputs\": \"string\",\n                    \"output_type\": \"string\",\n                    \"params\": [{\"name\": \"index_names\", \"default\": []}],\n                    \"source\": \"local\",\n                    \"usage\": None\n                }\n            ]\n            mock_vdb_core = \"mock_elastic_core\"\n            mock_embedding_model = \"mock_embedding_model\"\n            mock_get_vector_db_core.return_value = mock_vdb_core\n            mock_embedding.return_value = mock_embedding_model\n\n            result = await create_tool_config_list(\"agent_1\", \"tenant_1\", \"user_1\")\n\n            assert len(result) == 1\n            assert result[0] is mock_tool_instance\n\n            # Verify correct functions were called with correct parameters\n            mock_get_vector_db_core.assert_called_once()\n            mock_embedding.assert_called_once_with(tenant_id=\"tenant_1\")\n\n            # Verify metadata contains ONLY vdb_core and embedding_model (no index_names or name_resolver)\n            expected_metadata = {\n                \"vdb_core\": mock_vdb_core,\n                \"embedding_model\": mock_embedding_model,\n            }\n            assert mock_tool_instance.metadata == expected_metadata\n\n            # Explicitly verify that old fields are NOT present\n            assert \"index_names\" not in mock_tool_instance.metadata\n            assert \"name_resolver\" not in mock_tool_instance.metadata\n\n    @pytest.mark.asyncio\n    async def test_create_tool_config_list_with_knowledge_base_tool_multiple_tools(self):\n        \"\"\"\n        Test that multiple tools are processed correctly, with KnowledgeBaseSearchTool\n        receiving the correct metadata without index_names.\n        \"\"\"\n        mock_tool_kb = MagicMock()\n        mock_tool_kb.class_name = \"KnowledgeBaseSearchTool\"\n\n        mock_tool_other = MagicMock()\n        mock_tool_other.class_name = \"OtherTool\"\n\n        with patch('backend.agents.create_agent_info.ToolConfig') as mock_tool_config, \\\n                patch('backend.agents.create_agent_info.discover_langchain_tools', return_value=[]), \\\n                patch('backend.agents.create_agent_info.search_tools_for_sub_agent') as mock_search_tools, \\\n                patch('backend.agents.create_agent_info.get_vector_db_core') as mock_get_vector_db_core, \\\n                patch('backend.agents.create_agent_info.get_embedding_model') as mock_embedding:\n\n            mock_tool_config.side_effect = [mock_tool_kb, mock_tool_other]\n\n            mock_search_tools.return_value = [\n                {\n                    \"class_name\": \"KnowledgeBaseSearchTool\",\n                    \"name\": \"kb_search\",\n                    \"description\": \"Knowledge search\",\n                    \"inputs\": \"string\",\n                    \"output_type\": \"string\",\n                    \"params\": [],\n                    \"source\": \"local\",\n                    \"usage\": None\n                },\n                {\n                    \"class_name\": \"OtherTool\",\n                    \"name\": \"other\",\n                    \"description\": \"Other tool\",\n                    \"inputs\": \"string\",\n                    \"output_type\": \"string\",\n                    \"params\": [],\n                    \"source\": \"local\",\n                    \"usage\": None\n                }\n            ]\n            mock_get_vector_db_core.return_value = \"vdb_core_instance\"\n            mock_embedding.return_value = \"embedding_instance\"\n\n            result = await create_tool_config_list(\"agent_1\", \"tenant_1\", \"user_1\")\n\n            assert len(result) == 2\n\n            # Verify KnowledgeBaseSearchTool has correct metadata\n            assert mock_tool_kb.metadata == {\n                \"vdb_core\": \"vdb_core_instance\",\n                \"embedding_model\": \"embedding_instance\",\n            }\n\n            # Verify OtherTool has no special metadata (should not have metadata attribute set)\n            # Note: MagicMock will return a new MagicMock for unset attributes, so we check call_args\n            # Instead, verify that set_metadata was never called on the mock_tool_other\n            assert not hasattr(mock_tool_other, 'metadata') or mock_tool_other.metadata.call_count == 0 if hasattr(mock_tool_other.metadata, 'call_count') else True\n\n    @pytest.mark.asyncio\n    async def test_create_tool_config_list_with_knowledge_base_tool_mixed_sources(self):\n        \"\"\"\n        Test handling of tools from mixed sources (local, mcp, langchain).\n        KnowledgeBaseSearchTool should always get the simplified metadata.\n        \"\"\"\n        mock_tool_instance = MagicMock()\n        mock_tool_instance.class_name = \"KnowledgeBaseSearchTool\"\n\n        with patch('backend.agents.create_agent_info.ToolConfig') as mock_tool_config, \\\n                patch('backend.agents.create_agent_info.discover_langchain_tools', return_value=[]), \\\n                patch('backend.agents.create_agent_info.search_tools_for_sub_agent') as mock_search_tools, \\\n                patch('backend.agents.create_agent_info.get_vector_db_core') as mock_get_vector_db_core, \\\n                patch('backend.agents.create_agent_info.get_embedding_model') as mock_embedding:\n\n            mock_tool_config.return_value = mock_tool_instance\n\n            mock_search_tools.return_value = [\n                {\n                    \"class_name\": \"KnowledgeBaseSearchTool\",\n                    \"name\": \"kb_search\",\n                    \"description\": \"Knowledge search tool\",\n                    \"inputs\": \"string\",\n                    \"output_type\": \"string\",\n                    \"params\": [],\n                    \"source\": \"mcp\",\n                    \"usage\": \"mcp_server_1\"\n                }\n            ]\n            mock_get_vector_db_core.return_value = \"vdb_core\"\n            mock_embedding.return_value = \"embedding\"\n\n            result = await create_tool_config_list(\"agent_1\", \"tenant_1\", \"user_1\")\n\n            assert len(result) == 1\n            # Even for MCP-sourced KnowledgeBaseSearchTool, metadata should be set\n            assert mock_tool_instance.metadata == {\n                \"vdb_core\": \"vdb_core\",\n                \"embedding_model\": \"embedding\",\n            }\n\n    @pytest.mark.asyncio\n    async def test_create_tool_config_list_with_datamate_tool(self):\n        \"\"\"\n        Test that DataMateTool (or other unhandled tools) receive no special metadata.\n        This ensures the refactoring doesn't break other tool types.\n        \"\"\"\n        mock_tool_instance = MagicMock()\n        mock_tool_instance.class_name = \"DataMateTool\"\n\n        with patch('backend.agents.create_agent_info.ToolConfig') as mock_tool_config, \\\n                patch('backend.agents.create_agent_info.discover_langchain_tools', return_value=[]), \\\n                patch('backend.agents.create_agent_info.search_tools_for_sub_agent') as mock_search_tools:\n\n            mock_tool_config.return_value = mock_tool_instance\n\n            mock_search_tools.return_value = [\n                {\n                    \"class_name\": \"DataMateTool\",\n                    \"name\": \"datamate\",\n                    \"description\": \"Data management tool\",\n                    \"inputs\": \"string\",\n                    \"output_type\": \"string\",\n                    \"params\": [],\n                    \"source\": \"local\",\n                    \"usage\": None\n                }\n            ]\n\n            result = await create_tool_config_list(\"agent_1\", \"tenant_1\", \"user_1\")\n\n            assert len(result) == 1\n            assert result[0] is mock_tool_instance\n            # DataMateTool should not receive any special metadata (metadata should remain unset)\n            # Since we use MagicMock, we verify that metadata was never assigned\n            assert not hasattr(mock_tool_instance, 'metadata') or mock_tool_instance.metadata.call_count == 0 if hasattr(mock_tool_instance.metadata, 'call_count') else True\n\n    @pytest.mark.asyncio\n    async def test_create_tool_config_list_empty_list(self):\n        \"\"\"\n        Test that an empty tools list returns an empty result.\n        \"\"\"\n        with patch('backend.agents.create_agent_info.discover_langchain_tools', return_value=[]), \\\n                patch('backend.agents.create_agent_info.search_tools_for_sub_agent') as mock_search_tools:\n\n            mock_search_tools.return_value = []\n\n            result = await create_tool_config_list(\"agent_1\", \"tenant_1\", \"user_1\")\n\n            assert result == []\n\n    @pytest.mark.asyncio\n    async def test_create_tool_config_list_with_langchain_tool_metadata(self):\n        \"\"\"\n        Test that langchain-sourced tools receive metadata from the langchain tool discovery.\n        This verifies that the langchain tool metadata assignment still works correctly.\n        \"\"\"\n        mock_langchain_tool = MagicMock()\n        mock_langchain_tool.name = \"LangChainTool\"\n\n        mock_tool_instance = MagicMock()\n        mock_tool_instance.class_name = \"LangChainTool\"\n\n        with patch('backend.agents.create_agent_info.ToolConfig') as mock_tool_config, \\\n                patch('backend.agents.create_agent_info.discover_langchain_tools') as mock_discover, \\\n                patch('backend.agents.create_agent_info.search_tools_for_sub_agent') as mock_search_tools:\n\n            mock_tool_config.return_value = mock_tool_instance\n            mock_discover.return_value = [mock_langchain_tool]\n            mock_search_tools.return_value = [\n                {\n                    \"class_name\": \"LangChainTool\",\n                    \"name\": \"langchain_tool\",\n                    \"description\": \"A langchain tool\",\n                    \"inputs\": \"string\",\n                    \"output_type\": \"string\",\n                    \"params\": [],\n                    \"source\": \"langchain\",\n                    \"usage\": None\n                }\n            ]\n\n            result = await create_tool_config_list(\"agent_1\", \"tenant_1\", \"user_1\")\n\n            assert len(result) == 1\n            assert result[0] is mock_tool_instance\n            # Langchain tool should receive metadata from discovered langchain tool\n            assert mock_tool_instance.metadata == mock_langchain_tool\n\n    @pytest.mark.asyncio\n    async def test_create_tool_config_list_multiple_tools_same_type(self):\n        \"\"\"\n        Test that multiple KnowledgeBaseSearchTool instances each get correct metadata.\n        \"\"\"\n        mock_tool_1 = MagicMock()\n        mock_tool_1.class_name = \"KnowledgeBaseSearchTool\"\n\n        mock_tool_2 = MagicMock()\n        mock_tool_2.class_name = \"KnowledgeBaseSearchTool\"\n\n        mock_tool_config.side_effect = [mock_tool_1, mock_tool_2]\n\n        with patch('backend.agents.create_agent_info.discover_langchain_tools', return_value=[]), \\\n                patch('backend.agents.create_agent_info.search_tools_for_sub_agent') as mock_search_tools, \\\n                patch('backend.agents.create_agent_info.get_vector_db_core') as mock_get_vector_db_core, \\\n                patch('backend.agents.create_agent_info.get_embedding_model') as mock_embedding:\n\n            mock_search_tools.return_value = [\n                {\n                    \"class_name\": \"KnowledgeBaseSearchTool\",\n                    \"name\": \"kb_search_1\",\n                    \"description\": \"First knowledge search\",\n                    \"inputs\": \"string\",\n                    \"output_type\": \"string\",\n                    \"params\": [],\n                    \"source\": \"local\",\n                    \"usage\": None\n                },\n                {\n                    \"class_name\": \"KnowledgeBaseSearchTool\",\n                    \"name\": \"kb_search_2\",\n                    \"description\": \"Second knowledge search\",\n                    \"inputs\": \"string\",\n                    \"output_type\": \"string\",\n                    \"params\": [],\n                    \"source\": \"local\",\n                    \"usage\": None\n                }\n            ]\n            mock_get_vector_db_core.return_value = \"vdb_core\"\n            mock_embedding.return_value = \"embedding\"\n\n            result = await create_tool_config_list(\"agent_1\", \"tenant_1\", \"user_1\")\n\n            assert len(result) == 2\n\n            # Both tools should have the same simplified metadata\n            expected_metadata = {\n                \"vdb_core\": \"vdb_core\",\n                \"embedding_model\": \"embedding\",\n            }\n            assert mock_tool_1.metadata == expected_metadata\n            assert mock_tool_2.metadata == expected_metadata\n\n\nclass TestCreateAgentConfig:\n    \"\"\"Tests for the create_agent_config function\"\"\"\n\n    @pytest.mark.asyncio\n    async def test_create_agent_config_basic(self):\n        \"\"\"Test case for basic agent configuration creation\"\"\"\n        with patch('backend.agents.create_agent_info.search_agent_info_by_agent_id') as mock_search_agent, \\\n                patch('backend.agents.create_agent_info.query_sub_agents_id_list') as mock_query_sub, \\\n                patch('backend.agents.create_agent_info.create_tool_config_list') as mock_create_tools, \\\n                patch('backend.agents.create_agent_info.get_agent_prompt_template') as mock_get_template, \\\n                patch('backend.agents.create_agent_info.tenant_config_manager') as mock_tenant_config, \\\n                patch('backend.agents.create_agent_info.build_memory_context') as mock_build_memory, \\\n                patch('backend.agents.create_agent_info.AgentConfig') as mock_agent_config, \\\n                patch('backend.agents.create_agent_info.prepare_prompt_templates') as mock_prepare_templates, \\\n                patch('backend.agents.create_agent_info.get_model_by_model_id') as mock_get_model_by_id:\n\n            # Set mock return values\n            mock_search_agent.return_value = {\n                \"name\": \"test_agent\",\n                \"description\": \"test description\",\n                \"duty_prompt\": \"test duty\",\n                \"constraint_prompt\": \"test constraint\",\n                \"few_shots_prompt\": \"test few shots\",\n                \"max_steps\": 5,\n                \"model_id\": 123,\n                \"provide_run_summary\": True\n            }\n            mock_query_sub.return_value = []\n            mock_create_tools.return_value = []\n            mock_get_template.return_value = {\n                \"system_prompt\": \"{{duty}} {{constraint}} {{few_shots}}\"}\n            mock_tenant_config.get_app_config.side_effect = [\n                \"TestApp\", \"Test Description\"]\n            mock_build_memory.return_value = Mock(\n                user_config=Mock(memory_switch=False),\n                memory_config={},\n                tenant_id=\"tenant_1\",\n                user_id=\"user_1\",\n                agent_id=\"agent_1\"\n            )\n            mock_prepare_templates.return_value = {\n                \"system_prompt\": \"populated_system_prompt\"}\n            mock_get_model_by_id.return_value = {\"display_name\": \"test_model\"}\n\n            result = await create_agent_config(\"agent_1\", \"tenant_1\", \"user_1\", \"zh\", \"test query\")\n\n            # Verify that AgentConfig was called correctly\n            mock_agent_config.assert_called_once_with(\n                name=\"test_agent\",\n                description=\"test description\",\n                prompt_templates={\"system_prompt\": \"populated_system_prompt\"},\n                tools=[],\n                max_steps=5,\n                model_name=\"test_model\",\n                provide_run_summary=True,\n                managed_agents=[]\n            )\n\n    @pytest.mark.asyncio\n    async def test_create_agent_config_with_sub_agents(self):\n        \"\"\"Test case for creating agent configuration with sub-agents\"\"\"\n        with patch('backend.agents.create_agent_info.search_agent_info_by_agent_id') as mock_search_agent, \\\n                patch('backend.agents.create_agent_info.query_sub_agents_id_list') as mock_query_sub, \\\n                patch('backend.agents.create_agent_info.create_tool_config_list') as mock_create_tools, \\\n                patch('backend.agents.create_agent_info.get_agent_prompt_template') as mock_get_template, \\\n                patch('backend.agents.create_agent_info.tenant_config_manager') as mock_tenant_config, \\\n                patch('backend.agents.create_agent_info.build_memory_context') as mock_build_memory, \\\n                patch('backend.agents.create_agent_info.search_memory_in_levels', new_callable=AsyncMock) as mock_search_memory, \\\n                patch('backend.agents.create_agent_info.AgentConfig') as mock_agent_config, \\\n                patch('backend.agents.create_agent_info.prepare_prompt_templates') as mock_prepare_templates, \\\n                patch('backend.agents.create_agent_info.get_model_by_model_id') as mock_get_model_by_id:\n\n            # Set mock return values\n            mock_search_agent.return_value = {\n                \"name\": \"test_agent\",\n                \"description\": \"test description\",\n                \"duty_prompt\": \"test duty\",\n                \"constraint_prompt\": \"test constraint\",\n                \"few_shots_prompt\": \"test few shots\",\n                \"max_steps\": 5,\n                \"model_id\": 123,\n                \"provide_run_summary\": True\n            }\n            mock_query_sub.return_value = [\"sub_agent_1\"]\n            mock_create_tools.return_value = []\n            mock_get_template.return_value = {\n                \"system_prompt\": \"{{duty}} {{constraint}} {{few_shots}}\"}\n            mock_tenant_config.get_app_config.side_effect = [\n                \"TestApp\", \"Test Description\"]\n            mock_build_memory.return_value = Mock(\n                user_config=Mock(memory_switch=False),\n                memory_config={},\n                tenant_id=\"tenant_1\",\n                user_id=\"user_1\",\n                agent_id=\"agent_1\"\n            )\n            mock_prepare_templates.return_value = {\n                \"system_prompt\": \"populated_system_prompt\"}\n            mock_get_model_by_id.return_value = {\"display_name\": \"test_model\"}\n\n            # Mock sub-agent configuration\n            mock_sub_agent_config = Mock()\n            mock_sub_agent_config.name = \"sub_agent\"\n\n            # Return sub-agent config on recursive call to create_agent_config\n            with patch('backend.agents.create_agent_info.create_agent_config', return_value=mock_sub_agent_config):\n                # Reset mock state, as previous tests might have called AgentConfig\n                mock_agent_config.reset_mock()\n\n                result = await create_agent_config(\"agent_1\", \"tenant_1\", \"user_1\", \"zh\", \"test query\")\n\n                # Verify that AgentConfig was called correctly, including sub-agents\n                mock_agent_config.assert_called_once_with(\n                    name=\"test_agent\",\n                    description=\"test description\",\n                    prompt_templates={\n                        \"system_prompt\": \"populated_system_prompt\"},\n                    tools=[],\n                    max_steps=5,\n                    model_name=\"test_model\",\n                    provide_run_summary=True,\n                    managed_agents=[mock_sub_agent_config]\n                )\n\n    @pytest.mark.asyncio\n    async def test_create_agent_config_with_memory(self):\n        \"\"\"Test case for creating agent configuration with memory\"\"\"\n        with patch('backend.agents.create_agent_info.search_agent_info_by_agent_id') as mock_search_agent, \\\n                patch('backend.agents.create_agent_info.query_sub_agents_id_list') as mock_query_sub, \\\n                patch('backend.agents.create_agent_info.create_tool_config_list') as mock_create_tools, \\\n                patch('backend.agents.create_agent_info.get_agent_prompt_template') as mock_get_template, \\\n                patch('backend.agents.create_agent_info.tenant_config_manager') as mock_tenant_config, \\\n                patch('backend.agents.create_agent_info.build_memory_context') as mock_build_memory, \\\n                patch('backend.agents.create_agent_info.search_memory_in_levels', new_callable=AsyncMock) as mock_search_memory, \\\n                patch('backend.agents.create_agent_info.prepare_prompt_templates') as mock_prepare_templates, \\\n                patch('backend.agents.create_agent_info.get_model_by_model_id') as mock_get_model_by_id:\n\n            # Set mock return values\n            mock_search_agent.return_value = {\n                \"name\": \"test_agent\",\n                \"description\": \"test description\",\n                \"duty_prompt\": \"test duty\",\n                \"constraint_prompt\": \"test constraint\",\n                \"few_shots_prompt\": \"test few shots\",\n                \"max_steps\": 5,\n                \"model_id\": 123,\n                \"provide_run_summary\": True\n            }\n            mock_query_sub.return_value = []\n            mock_create_tools.return_value = []\n            mock_get_template.return_value = {\n                \"system_prompt\": \"{{duty}} {{constraint}} {{few_shots}}\"}\n            mock_tenant_config.get_app_config.side_effect = [\n                \"TestApp\", \"Test Description\"]\n\n            # Enable memory feature\n            mock_user_config = Mock()\n            mock_user_config.memory_switch = True\n            mock_user_config.agent_share_option = \"always\"\n            mock_user_config.disable_agent_ids = []\n            mock_user_config.disable_user_agent_ids = []\n\n            mock_build_memory.return_value = Mock(\n                user_config=mock_user_config,\n                memory_config={\"test\": \"config\"},\n                tenant_id=\"tenant_1\",\n                user_id=\"user_1\",\n                agent_id=\"agent_1\"\n            )\n            mock_search_memory.return_value = {\"results\": [{\"memory\": \"test\"}]}\n            mock_prepare_templates.return_value = {\n                \"system_prompt\": \"populated_system_prompt\"}\n            mock_get_model_by_id.return_value = {\"display_name\": \"test_model\"}\n\n            result = await create_agent_config(\"agent_1\", \"tenant_1\", \"user_1\", \"zh\", \"test query\")\n\n            # Verify that memory search was called\n            mock_search_memory.assert_called_once_with(\n                query_text=\"test query\",\n                memory_config={\"test\": \"config\"},\n                tenant_id=\"tenant_1\",\n                user_id=\"user_1\",\n                agent_id=\"agent_1\",\n                memory_levels=[\"tenant\", \"agent\", \"user\", \"user_agent\"]\n            )\n\n    @pytest.mark.asyncio\n    async def test_create_agent_config_memory_disabled_no_search(self):\n        with (\n            patch(\n                \"backend.agents.create_agent_info.search_agent_info_by_agent_id\"\n            ) as mock_search_agent,\n            patch(\n                \"backend.agents.create_agent_info.query_sub_agents_id_list\"\n            ) as mock_query_sub,\n            patch(\n                \"backend.agents.create_agent_info.create_tool_config_list\"\n            ) as mock_create_tools,\n            patch(\n                \"backend.agents.create_agent_info.get_agent_prompt_template\"\n            ) as mock_get_template,\n            patch(\n                \"backend.agents.create_agent_info.tenant_config_manager\"\n            ) as mock_tenant_config,\n            patch(\n                \"backend.agents.create_agent_info.build_memory_context\"\n            ) as mock_build_memory,\n            patch(\n                \"backend.agents.create_agent_info.get_model_by_model_id\"\n            ) as mock_get_model_by_id,\n            patch(\n                \"backend.agents.create_agent_info.search_memory_in_levels\",\n                new_callable=AsyncMock,\n            ) as mock_search_memory,\n            patch(\n                \"backend.agents.create_agent_info.prepare_prompt_templates\"\n            ) as mock_prepare_templates,\n        ):\n            mock_search_agent.return_value = {\n                \"name\": \"test_agent\",\n                \"description\": \"test description\",\n                \"duty_prompt\": \"test duty\",\n                \"constraint_prompt\": \"test constraint\",\n                \"few_shots_prompt\": \"test few shots\",\n                \"max_steps\": 5,\n                \"model_id\": 123,\n                \"provide_run_summary\": True,\n            }\n            mock_query_sub.return_value = []\n            mock_create_tools.return_value = []\n            mock_get_template.return_value = {\n                \"system_prompt\": \"{{duty}} {{constraint}} {{few_shots}}\"\n            }\n            mock_tenant_config.get_app_config.side_effect = [\n                \"TestApp\",\n                \"Test Description\",\n            ]\n\n            # memory_switch is on, but search is disabled\n            mock_user_config = Mock()\n            mock_user_config.memory_switch = True\n            mock_user_config.agent_share_option = \"always\"\n            mock_user_config.disable_agent_ids = []\n            mock_user_config.disable_user_agent_ids = []\n            mock_build_memory.return_value = Mock(\n                user_config=mock_user_config,\n                memory_config={\"test\": \"config\"},\n                tenant_id=\"tenant_1\",\n                user_id=\"user_1\",\n                agent_id=\"agent_1\",\n            )\n\n            mock_prepare_templates.return_value = {\n                \"system_prompt\": \"populated_system_prompt\"\n            }\n            mock_get_model_by_id.return_value = {\"display_name\": \"test_model\"}\n\n            await create_agent_config(\n                \"agent_1\",\n                \"tenant_1\",\n                \"user_1\",\n                \"zh\",\n                \"test query\",\n                allow_memory_search=False,\n            )\n\n            mock_search_memory.assert_not_called()\n\n    @pytest.mark.asyncio\n    async def test_create_agent_config_model_id_none(self):\n        \"\"\"Test case for creating agent configuration when model_id is None\"\"\"\n        with patch('backend.agents.create_agent_info.search_agent_info_by_agent_id') as mock_search_agent, \\\n                patch('backend.agents.create_agent_info.query_sub_agents_id_list') as mock_query_sub, \\\n                patch('backend.agents.create_agent_info.create_tool_config_list') as mock_create_tools, \\\n                patch('backend.agents.create_agent_info.get_agent_prompt_template') as mock_get_template, \\\n                patch('backend.agents.create_agent_info.tenant_config_manager') as mock_tenant_config, \\\n                patch('backend.agents.create_agent_info.build_memory_context') as mock_build_memory, \\\n                patch('backend.agents.create_agent_info.AgentConfig') as mock_agent_config, \\\n                patch('backend.agents.create_agent_info.prepare_prompt_templates') as mock_prepare_templates, \\\n                patch('backend.agents.create_agent_info.get_model_by_model_id') as mock_get_model_by_id:\n\n            # Set mock return values\n            mock_search_agent.return_value = {\n                \"name\": \"test_agent\",\n                \"description\": \"test description\",\n                \"duty_prompt\": \"test duty\",\n                \"constraint_prompt\": \"test constraint\",\n                \"few_shots_prompt\": \"test few shots\",\n                \"max_steps\": 5,\n                \"model_id\": None,  # Test None case\n                \"provide_run_summary\": True\n            }\n            mock_query_sub.return_value = []\n            mock_create_tools.return_value = []\n            mock_get_template.return_value = {\n                \"system_prompt\": \"{{duty}} {{constraint}} {{few_shots}}\"}\n            mock_tenant_config.get_app_config.side_effect = [\n                \"TestApp\", \"Test Description\"]\n            mock_build_memory.return_value = Mock(\n                user_config=Mock(memory_switch=False),\n                memory_config={},\n                tenant_id=\"tenant_1\",\n                user_id=\"user_1\",\n                agent_id=\"agent_1\"\n            )\n            mock_prepare_templates.return_value = {\n                \"system_prompt\": \"populated_system_prompt\"}\n            mock_get_model_by_id.return_value = None  # Model not found\n\n            result = await create_agent_config(\"agent_1\", \"tenant_1\", \"user_1\", \"zh\", \"test query\")\n\n            # Verify that AgentConfig was called with \"main_model\" as fallback\n            mock_agent_config.assert_called_with(\n                name=\"test_agent\",\n                description=\"test description\",\n                prompt_templates={\"system_prompt\": \"populated_system_prompt\"},\n                tools=[],\n                max_steps=5,\n                model_name=\"main_model\",  # Should fallback to \"main_model\"\n                provide_run_summary=True,\n                managed_agents=[]\n            )\n\n    @pytest.mark.asyncio\n    async def test_create_agent_config_memory_exception(self):\n        \"\"\"raise when search_memory_in_levels raises an exception\"\"\"\n        with (\n            patch(\n                \"backend.agents.create_agent_info.search_agent_info_by_agent_id\"\n            ) as mock_search_agent,\n            patch(\n                \"backend.agents.create_agent_info.query_sub_agents_id_list\"\n            ) as mock_query_sub,\n            patch(\n                \"backend.agents.create_agent_info.create_tool_config_list\"\n            ) as mock_create_tools,\n            patch(\n                \"backend.agents.create_agent_info.get_agent_prompt_template\"\n            ) as mock_get_template,\n            patch(\n                \"backend.agents.create_agent_info.tenant_config_manager\"\n            ) as mock_tenant_config,\n            patch(\n                \"backend.agents.create_agent_info.build_memory_context\"\n            ) as mock_build_memory,\n            patch(\n                \"backend.agents.create_agent_info.search_memory_in_levels\",\n                new_callable=AsyncMock,\n            ) as mock_search_memory,\n            patch(\n                \"backend.agents.create_agent_info.prepare_prompt_templates\"\n            ) as mock_prepare_templates,\n        ):\n            mock_search_agent.return_value = {\n                \"name\": \"test_agent\",\n                \"description\": \"test description\",\n                \"duty_prompt\": \"test duty\",\n                \"constraint_prompt\": \"test constraint\",\n                \"few_shots_prompt\": \"test few shots\",\n                \"max_steps\": 5,\n                \"model_id\": 123,\n                \"provide_run_summary\": True,\n            }\n            mock_query_sub.return_value = []\n            mock_create_tools.return_value = []\n            mock_get_template.return_value = {\n                \"system_prompt\": \"{{duty}} {{constraint}} {{few_shots}}\"\n            }\n            mock_tenant_config.get_app_config.side_effect = [\n                \"TestApp\",\n                \"Test Description\",\n            ]\n\n            mock_user_config = Mock()\n            mock_user_config.memory_switch = True\n            mock_user_config.agent_share_option = \"always\"\n            mock_user_config.disable_agent_ids = []\n            mock_user_config.disable_user_agent_ids = []\n            mock_build_memory.return_value = Mock(\n                user_config=mock_user_config,\n                memory_config={\"test\": \"config\"},\n                tenant_id=\"tenant_1\",\n                user_id=\"user_1\",\n                agent_id=\"agent_1\",\n            )\n\n            mock_search_memory.side_effect = Exception(\"boom\")\n            mock_prepare_templates.return_value = {\n                \"system_prompt\": \"populated_system_prompt\"\n            }\n\n            with pytest.raises(Exception) as excinfo:\n                await create_agent_config(\n                    \"agent_1\",\n                    \"tenant_1\",\n                    \"user_1\",\n                    \"zh\",\n                    \"test query\",\n                    allow_memory_search=True,\n                )\n\n            assert \"Failed to retrieve memory list: boom\" in str(excinfo.value)\n\n    @pytest.mark.asyncio\n    async def test_create_agent_config_with_knowledge_base_summary_filtering(self):\n        with (\n            patch(\n                \"backend.agents.create_agent_info.search_agent_info_by_agent_id\"\n            ) as mock_search_agent,\n            patch(\n                \"backend.agents.create_agent_info.query_sub_agents_id_list\"\n            ) as mock_query_sub,\n            patch(\n                \"backend.agents.create_agent_info.create_tool_config_list\"\n            ) as mock_create_tools,\n            patch(\n                \"backend.agents.create_agent_info.get_agent_prompt_template\"\n            ) as mock_get_template,\n            patch(\n                \"backend.agents.create_agent_info.tenant_config_manager\"\n            ) as mock_tenant_config,\n            patch(\n                \"backend.agents.create_agent_info.build_memory_context\"\n            ) as mock_build_memory,\n            patch(\n                \"backend.agents.create_agent_info.ElasticSearchService\"\n            ) as mock_es_service,\n            patch(\n                \"backend.agents.create_agent_info.logger\"\n            ) as mock_logger,\n            patch(\n                \"backend.agents.create_agent_info.prepare_prompt_templates\"\n            ) as mock_prepare_templates,\n            patch(\n                \"backend.agents.create_agent_info.get_model_by_model_id\"\n            ) as mock_get_model_by_id,\n        ):\n            mock_search_agent.return_value = {\n                \"name\": \"test_agent\",\n                \"description\": \"test description\",\n                \"duty_prompt\": \"test duty\",\n                \"constraint_prompt\": \"test constraint\",\n                \"few_shots_prompt\": \"test few shots\",\n                \"max_steps\": 5,\n                \"model_id\": 123,\n                \"provide_run_summary\": True,\n            }\n            mock_query_sub.return_value = []\n\n            kb_tool_1 = Mock()\n            kb_tool_1.class_name = \"KnowledgeBaseSearchTool\"\n            kb_tool_1.name = \"kb_tool_1\"\n            kb_tool_1.params = {\"index_names\": [\"idx_a\", \"idx_b\"]}\n\n            other_tool = Mock()\n            other_tool.class_name = \"OtherTool\"\n            other_tool.name = \"other_tool\"\n            other_tool.params = {}\n\n            kb_tool_2 = Mock()\n            kb_tool_2.class_name = \"KnowledgeBaseSearchTool\"\n            kb_tool_2.name = \"kb_tool_2\"\n            kb_tool_2.params = {\"index_names\": [\"idx_c\"]}\n\n            mock_create_tools.return_value = [kb_tool_1, other_tool, kb_tool_2]\n            mock_get_template.return_value = {\"system_prompt\": \"{{ knowledge_base_summary }}\"}\n            mock_tenant_config.get_app_config.side_effect = [\"TestApp\", \"Test Description\"]\n            mock_build_memory.return_value = Mock(\n                user_config=Mock(memory_switch=False),\n                memory_config={},\n                tenant_id=\"tenant_1\",\n                user_id=\"user_1\",\n                agent_id=\"agent_1\",\n            )\n            mock_prepare_templates.return_value = {\"system_prompt\": \"populated_system_prompt\"}\n            mock_get_model_by_id.return_value = {\"display_name\": \"test_model\"}\n\n            mock_es_instance = Mock()\n            mock_es_instance.get_summary.side_effect = [\n                {\"summary\": \"AAA\"},\n                Exception(\"boom\"),\n            ]\n            mock_es_service.return_value = mock_es_instance\n\n            await create_agent_config(\"agent_1\", \"tenant_1\", \"user_1\", \"zh\", \"test query\")\n\n            assert mock_es_instance.get_summary.call_args_list == [\n                ((), {\"index_name\": \"idx_a\"}),\n                ((), {\"index_name\": \"idx_b\"}),\n            ]\n            mock_logger.warning.assert_called_once()\n            assert \"idx_b\" in mock_logger.warning.call_args[0][0]\n\n            mock_prepare_templates.assert_called_once()\n            assert mock_prepare_templates.call_args[1][\"system_prompt\"] == \"**idx_a**: AAA\\n\\n\"\n\n            # Ensure only the first KnowledgeBaseSearchTool is processed.\n            assert \"idx_c\" not in str(mock_es_instance.get_summary.call_args_list)\n\n    @pytest.mark.parametrize(\n        \"language,expected_message\",\n        [\n            (\"zh\", \"当前没有可用的知识库索引。\\n\"),\n            (\"en\", \"No knowledge base indexes are currently available.\\n\"),\n        ],\n    )\n    @pytest.mark.asyncio\n    async def test_create_agent_config_knowledge_base_summary_no_indexes_message(\n        self, language, expected_message\n    ):\n        with (\n            patch(\n                \"backend.agents.create_agent_info.search_agent_info_by_agent_id\"\n            ) as mock_search_agent,\n            patch(\n                \"backend.agents.create_agent_info.query_sub_agents_id_list\"\n            ) as mock_query_sub,\n            patch(\n                \"backend.agents.create_agent_info.create_tool_config_list\"\n            ) as mock_create_tools,\n            patch(\n                \"backend.agents.create_agent_info.get_agent_prompt_template\"\n            ) as mock_get_template,\n            patch(\n                \"backend.agents.create_agent_info.tenant_config_manager\"\n            ) as mock_tenant_config,\n            patch(\n                \"backend.agents.create_agent_info.build_memory_context\"\n            ) as mock_build_memory,\n            patch(\n                \"backend.agents.create_agent_info.ElasticSearchService\"\n            ) as mock_es_service,\n            patch(\n                \"backend.agents.create_agent_info.prepare_prompt_templates\"\n            ) as mock_prepare_templates,\n            patch(\n                \"backend.agents.create_agent_info.get_model_by_model_id\"\n            ) as mock_get_model_by_id,\n        ):\n            mock_search_agent.return_value = {\n                \"name\": \"test_agent\",\n                \"description\": \"test description\",\n                \"duty_prompt\": \"test duty\",\n                \"constraint_prompt\": \"test constraint\",\n                \"few_shots_prompt\": \"test few shots\",\n                \"max_steps\": 5,\n                \"model_id\": 123,\n                \"provide_run_summary\": True,\n            }\n            mock_query_sub.return_value = []\n\n            kb_tool = Mock()\n            kb_tool.class_name = \"KnowledgeBaseSearchTool\"\n            kb_tool.name = \"kb_tool\"\n            kb_tool.params = {\"index_names\": []}\n            mock_create_tools.return_value = [kb_tool]\n\n            mock_get_template.return_value = {\"system_prompt\": \"{{ knowledge_base_summary }}\"}\n            mock_tenant_config.get_app_config.side_effect = [\"TestApp\", \"Test Description\"]\n            mock_build_memory.return_value = Mock(\n                user_config=Mock(memory_switch=False),\n                memory_config={},\n                tenant_id=\"tenant_1\",\n                user_id=\"user_1\",\n                agent_id=\"agent_1\",\n            )\n            mock_prepare_templates.return_value = {\"system_prompt\": \"populated_system_prompt\"}\n            mock_get_model_by_id.return_value = {\"display_name\": \"test_model\"}\n\n            await create_agent_config(\n                \"agent_1\", \"tenant_1\", \"user_1\", language, \"test query\"\n            )\n\n            mock_es_service.assert_not_called()\n            assert mock_prepare_templates.call_args[1][\"system_prompt\"] == expected_message\n\n    @pytest.mark.asyncio\n    async def test_create_agent_config_knowledge_base_summary_error(self):\n        \"\"\"Test case for error handling during knowledge base summary build\"\"\"\n        with patch('backend.agents.create_agent_info.search_agent_info_by_agent_id') as mock_search_agent, \\\n                patch('backend.agents.create_agent_info.query_sub_agents_id_list') as mock_query_sub, \\\n                patch('backend.agents.create_agent_info.create_tool_config_list') as mock_create_tools, \\\n                patch('backend.agents.create_agent_info.get_agent_prompt_template') as mock_get_template, \\\n                patch('backend.agents.create_agent_info.tenant_config_manager') as mock_tenant_config, \\\n                patch('backend.agents.create_agent_info.build_memory_context') as mock_build_memory, \\\n                patch('backend.agents.create_agent_info.AgentConfig') as mock_agent_config, \\\n                patch('backend.agents.create_agent_info.prepare_prompt_templates') as mock_prepare_templates, \\\n                patch('backend.agents.create_agent_info.get_model_by_model_id') as mock_get_model_by_id, \\\n                patch('backend.agents.create_agent_info.logger') as mock_logger:\n\n            # Set mock return values\n            mock_search_agent.return_value = {\n                \"name\": \"test_agent\",\n                \"description\": \"test description\",\n                \"duty_prompt\": \"test duty\",\n                \"constraint_prompt\": \"test constraint\",\n                \"few_shots_prompt\": \"test few shots\",\n                \"max_steps\": 5,\n                \"model_id\": 123,\n                \"provide_run_summary\": True\n            }\n            mock_query_sub.return_value = []\n            \n            # Create a tool that raises exception when accessing class_name\n            mock_tool = MagicMock()\n            type(mock_tool).class_name = PropertyMock(side_effect=Exception(\"Test Error\"))\n            mock_create_tools.return_value = [mock_tool]\n\n            mock_get_template.return_value = {\n                \"system_prompt\": \"{{duty}} {{constraint}} {{few_shots}}\"}\n            mock_tenant_config.get_app_config.side_effect = [\n                \"TestApp\", \"Test Description\"]\n            mock_build_memory.return_value = Mock(\n                user_config=Mock(memory_switch=False),\n                memory_config={},\n                tenant_id=\"tenant_1\",\n                user_id=\"user_1\",\n                agent_id=\"agent_1\"\n            )\n            mock_prepare_templates.return_value = {\n                \"system_prompt\": \"populated_system_prompt\"}\n            mock_get_model_by_id.return_value = {\"display_name\": \"test_model\"}\n\n            await create_agent_config(\"agent_1\", \"tenant_1\", \"user_1\", \"zh\", \"test query\")\n\n            # Verify that error was logged\n            mock_logger.error.assert_called_with(\"Failed to build knowledge base summary: Test Error\")\n\n\nclass TestCreateModelConfigList:\n    \"\"\"Tests for the create_model_config_list function\"\"\"\n\n    @pytest.mark.asyncio\n    async def test_create_model_config_list(self):\n        \"\"\"Test case for model configuration list creation\"\"\"\n        # Reset mock call count before test\n        mock_model_config.reset_mock()\n\n        with patch('backend.agents.create_agent_info.get_model_records') as mock_get_records, \\\n                patch('backend.agents.create_agent_info.tenant_config_manager') as mock_manager, \\\n                patch('backend.agents.create_agent_info.get_model_name_from_config') as mock_get_model_name, \\\n                patch('backend.agents.create_agent_info.add_repo_to_name') as mock_add_repo:\n\n            # Mock database records\n            mock_get_records.return_value = [\n                {\n                    \"display_name\": \"GPT-4\",\n                    \"api_key\": \"gpt4_key\",\n                    \"model_repo\": \"openai\",\n                    \"model_name\": \"gpt-4\",\n                    \"base_url\": \"https://api.openai.com\"\n                },\n                {\n                    \"display_name\": \"Claude\",\n                    \"api_key\": \"claude_key\",\n                    \"model_repo\": \"anthropic\",\n                    \"model_name\": \"claude-3\",\n                    \"base_url\": \"https://api.anthropic.com\"\n                }\n            ]\n\n            # Mock tenant config for main_model and sub_model\n            mock_manager.get_model_config.return_value = {\n                \"api_key\": \"main_key\",\n                \"model_name\": \"main_model\",\n                \"base_url\": \"http://main.url\"\n            }\n\n            # Mock utility functions\n            mock_add_repo.side_effect = [\"openai/gpt-4\", \"anthropic/claude-3\"]\n            mock_get_model_name.return_value = \"main_model_name\"\n\n            result = await create_model_config_list(\"tenant_1\")\n\n            # Should have 4 models: 2 from database + 2 default (main_model, sub_model)\n            assert len(result) == 4\n\n            # Verify get_model_records was called correctly\n            mock_get_records.assert_called_once_with({\"model_type\": \"llm\"}, \"tenant_1\")\n\n            # Verify tenant_config_manager was called for default models\n            mock_manager.get_model_config.assert_called_once_with(\n                key=MODEL_CONFIG_MAPPING[\"llm\"], tenant_id=\"tenant_1\")\n\n            # Verify ModelConfig was called 4 times\n            assert mock_model_config.call_count == 4\n\n            # Verify the calls to ModelConfig\n            calls = mock_model_config.call_args_list\n\n            # First call: GPT-4 model from database\n            assert calls[0][1]['cite_name'] == \"GPT-4\"\n            assert calls[0][1]['api_key'] == \"gpt4_key\"\n            assert calls[0][1]['model_name'] == \"openai/gpt-4\"\n            assert calls[0][1]['url'] == \"https://api.openai.com\"\n\n            # Second call: Claude model from database\n            assert calls[1][1]['cite_name'] == \"Claude\"\n            assert calls[1][1]['api_key'] == \"claude_key\"\n            assert calls[1][1]['model_name'] == \"anthropic/claude-3\"\n            assert calls[1][1]['url'] == \"https://api.anthropic.com\"\n\n            # Third call: main_model\n            assert calls[2][1]['cite_name'] == \"main_model\"\n            assert calls[2][1]['api_key'] == \"main_key\"\n            assert calls[2][1]['model_name'] == \"main_model_name\"\n            assert calls[2][1]['url'] == \"http://main.url\"\n\n            # Fourth call: sub_model\n            assert calls[3][1]['cite_name'] == \"sub_model\"\n            assert calls[3][1]['api_key'] == \"main_key\"\n            assert calls[3][1]['model_name'] == \"main_model_name\"\n            assert calls[3][1]['url'] == \"http://main.url\"\n\n    @pytest.mark.asyncio\n    async def test_create_model_config_list_empty_database(self):\n        \"\"\"Test case when database returns no records\"\"\"\n        # Reset mock call count before test\n        mock_model_config.reset_mock()\n\n        with patch('backend.agents.create_agent_info.get_model_records') as mock_get_records, \\\n                patch('backend.agents.create_agent_info.tenant_config_manager') as mock_manager, \\\n                patch('backend.agents.create_agent_info.get_model_name_from_config') as mock_get_model_name:\n\n            # Mock empty database records\n            mock_get_records.return_value = []\n\n            # Mock tenant config for main_model and sub_model\n            mock_manager.get_model_config.return_value = {\n                \"api_key\": \"main_key\",\n                \"model_name\": \"main_model\",\n                \"base_url\": \"http://main.url\"\n            }\n\n            mock_get_model_name.return_value = \"main_model_name\"\n\n            result = await create_model_config_list(\"tenant_1\")\n\n            # Should have 2 models: only default models (main_model, sub_model)\n            assert len(result) == 2\n\n            # Verify ModelConfig was called 2 times\n            assert mock_model_config.call_count == 2\n\n            # Verify both calls are for default models\n            calls = mock_model_config.call_args_list\n            assert calls[0][1]['cite_name'] == \"main_model\"\n            assert calls[1][1]['cite_name'] == \"sub_model\"\n\n    @pytest.mark.asyncio\n    async def test_create_model_config_list_no_model_name_in_config(self):\n        \"\"\"Test case when tenant config has no model_name\"\"\"\n        # Reset mock call count before test\n        mock_model_config.reset_mock()\n\n        with patch('backend.agents.create_agent_info.get_model_records') as mock_get_records, \\\n                patch('backend.agents.create_agent_info.tenant_config_manager') as mock_manager, \\\n                patch('backend.agents.create_agent_info.get_model_name_from_config') as mock_get_model_name:\n\n            # Mock empty database records\n            mock_get_records.return_value = []\n\n            # Mock tenant config without model_name\n            mock_manager.get_model_config.return_value = {\n                \"api_key\": \"main_key\",\n                \"base_url\": \"http://main.url\"\n                # No model_name field\n            }\n\n            result = await create_model_config_list(\"tenant_1\")\n\n            # Should have 2 models: only default models (main_model, sub_model)\n            assert len(result) == 2\n\n            # Verify ModelConfig was called 2 times with empty model_name\n            assert mock_model_config.call_count == 2\n\n            calls = mock_model_config.call_args_list\n            assert calls[0][1]['cite_name'] == \"main_model\"\n            assert calls[0][1]['model_name'] == \"\"  # Should be empty when no model_name in config\n            assert calls[1][1]['cite_name'] == \"sub_model\"\n            assert calls[1][1]['model_name'] == \"\"  # Should be empty when no model_name in config\n\n\nclass TestFilterMcpServersAndTools:\n    \"\"\"Tests for the filter_mcp_servers_and_tools function\"\"\"\n\n    def test_filter_mcp_servers_with_mcp_tools(self):\n        \"\"\"Test case for filtering logic when MCP tools are present\"\"\"\n        # Create mock objects\n        mock_tool = Mock()\n        mock_tool.source = \"mcp\"\n        mock_tool.usage = \"test_server\"\n\n        mock_agent_config = Mock()\n        mock_agent_config.tools = [mock_tool]\n        mock_agent_config.managed_agents = []\n\n        mcp_info_dict = {\n            \"test_server\": {\n                \"remote_mcp_server\": \"http://test.server\"\n            }\n        }\n\n        # Execute the function\n        result = filter_mcp_servers_and_tools(mock_agent_config, mcp_info_dict)\n\n        # Verify the result\n        assert result == [\"http://test.server\"]\n\n    def test_filter_mcp_servers_no_mcp_tools(self):\n        \"\"\"Test case for filtering logic when no MCP tools are present\"\"\"\n        mock_tool = Mock()\n        mock_tool.source = \"local\"\n\n        mock_agent_config = Mock()\n        mock_agent_config.tools = [mock_tool]\n        mock_agent_config.managed_agents = []\n\n        mcp_info_dict = {}\n\n        result = filter_mcp_servers_and_tools(mock_agent_config, mcp_info_dict)\n\n        # Should return an empty list if there are no MCP tools\n        assert result == []\n\n    def test_filter_mcp_servers_with_sub_agents(self):\n        \"\"\"Test case for filtering logic with sub-agents\"\"\"\n        # Create mock tool for the sub-agent\n        mock_sub_tool = Mock()\n        mock_sub_tool.source = \"mcp\"\n        mock_sub_tool.usage = \"sub_server\"\n\n        mock_sub_agent = Mock()\n        mock_sub_agent.tools = [mock_sub_tool]\n        mock_sub_agent.managed_agents = []\n\n        # Create mock tool for the main agent\n        mock_main_tool = Mock()\n        mock_main_tool.source = \"mcp\"\n        mock_main_tool.usage = \"main_server\"\n\n        mock_agent_config = Mock()\n        mock_agent_config.tools = [mock_main_tool]\n        mock_agent_config.managed_agents = [mock_sub_agent]\n\n        mcp_info_dict = {\n            \"main_server\": {\n                \"remote_mcp_server\": \"http://main.server\"\n            },\n            \"sub_server\": {\n                \"remote_mcp_server\": \"http://sub.server\"\n            }\n        }\n\n        result = filter_mcp_servers_and_tools(mock_agent_config, mcp_info_dict)\n\n        # Should contain the URLs of both servers\n        assert len(result) == 2\n        assert \"http://main.server\" in result\n        assert \"http://sub.server\" in result\n\n    def test_filter_mcp_servers_unknown_server(self):\n        \"\"\"Test case for an unknown MCP server\"\"\"\n        mock_tool = Mock()\n        mock_tool.source = \"mcp\"\n        mock_tool.usage = \"unknown_server\"\n\n        mock_agent_config = Mock()\n        mock_agent_config.tools = [mock_tool]\n        mock_agent_config.managed_agents = []\n\n        mcp_info_dict = {\n            \"different_server\": {\n                \"remote_mcp_server\": \"http://different.server\"\n            }\n        }\n\n        result = filter_mcp_servers_and_tools(mock_agent_config, mcp_info_dict)\n\n        # Unknown servers should not be included\n        assert result == []\n\n\nclass TestCreateAgentRunInfo:\n    \"\"\"Tests for the create_agent_run_info function\"\"\"\n\n    @pytest.mark.asyncio\n    async def test_create_agent_run_info_success(self):\n        \"\"\"Test case for successfully creating agent run info with dict format mcp_host\"\"\"\n        mock_agent_run_info.reset_mock()\n        with patch('backend.agents.create_agent_info.join_minio_file_description_to_query') as mock_join_query, \\\n                patch('backend.agents.create_agent_info.create_model_config_list') as mock_create_models, \\\n                patch('backend.agents.create_agent_info.get_remote_mcp_server_list', new_callable=AsyncMock) as mock_get_mcp, \\\n                patch('backend.agents.create_agent_info.create_agent_config') as mock_create_agent, \\\n                patch('backend.agents.create_agent_info.filter_mcp_servers_and_tools') as mock_filter, \\\n                patch('backend.agents.create_agent_info.urljoin') as mock_urljoin, \\\n                patch('backend.agents.create_agent_info.threading') as mock_threading, \\\n                patch('backend.agents.create_agent_info.query_current_version_no') as mock_version_no:\n\n            # Set mock return values\n            mock_join_query.return_value = \"processed_query\"\n            mock_create_models.return_value = [\"model_config\"]\n            mock_get_mcp.return_value = [\n                {\n                    \"remote_mcp_server_name\": \"test_server\",\n                    \"remote_mcp_server\": \"http://test.server\",\n                    \"status\": True,\n                    \"authorization_token\": None\n                }\n            ]\n            mock_create_agent.return_value = \"agent_config\"\n            mock_urljoin.return_value = \"http://nexent.mcp/sse\"\n            mock_filter.return_value = [\"http://test.server\"]\n            mock_threading.Event.return_value = \"stop_event\"\n            mock_version_no.return_value = 1  # Mock published version\n\n            result = await create_agent_run_info(\n                agent_id=\"agent_1\",\n                minio_files=[],\n                query=\"test query\",\n                history=[],\n                user_id=\"user_1\",\n                tenant_id=\"tenant_1\",\n                language=\"zh\"\n            )\n\n            # Verify that AgentRunInfo was called correctly with dict format mcp_host\n            assert mock_agent_run_info.call_count == 1\n            mock_agent_run_info.assert_called_with(\n                query=\"processed_query\",\n                model_config_list=[\"model_config\"],\n                observer=mock_message_observer.return_value,\n                agent_config=\"agent_config\",\n                mcp_host=[{\n                    \"url\": \"http://test.server\",\n                    \"transport\": \"streamable-http\"\n                }],\n                history=[],\n                stop_event=\"stop_event\"\n            )\n\n            # Verify that other functions were called correctly\n            mock_join_query.assert_called_once_with(\n                minio_files=[], query=\"test query\")\n            mock_create_models.assert_called_once_with(\"tenant_1\")\n            mock_create_agent.assert_called_once_with(\n                agent_id=\"agent_1\",\n                tenant_id=\"tenant_1\",\n                user_id=\"user_1\",\n                language=\"zh\",\n                last_user_query=\"processed_query\",\n                allow_memory_search=True,\n                version_no=1,\n            )\n            mock_get_mcp.assert_called_once_with(tenant_id=\"tenant_1\", is_need_auth=True)\n            mock_filter.assert_called_once_with(\"agent_config\", {\n                \"test_server\": {\n                    \"remote_mcp_server_name\": \"test_server\",\n                    \"remote_mcp_server\": \"http://test.server\",\n                    \"status\": True,\n                    \"authorization_token\": None\n                },\n                \"nexent\": {\n                    \"remote_mcp_server_name\": \"nexent\",\n                    \"remote_mcp_server\": \"http://nexent.mcp/sse\",\n                    \"status\": True,\n                    \"authorization_token\": None\n                }\n            })\n\n    @pytest.mark.asyncio\n    async def test_create_agent_run_info_with_authorization_token(self):\n        \"\"\"Test case for mcp_host with authorization token\"\"\"\n        mock_agent_run_info.reset_mock()\n        with patch('backend.agents.create_agent_info.join_minio_file_description_to_query') as mock_join_query, \\\n                patch('backend.agents.create_agent_info.create_model_config_list') as mock_create_models, \\\n                patch('backend.agents.create_agent_info.get_remote_mcp_server_list', new_callable=AsyncMock) as mock_get_mcp, \\\n                patch('backend.agents.create_agent_info.create_agent_config') as mock_create_agent, \\\n                patch('backend.agents.create_agent_info.filter_mcp_servers_and_tools') as mock_filter, \\\n                patch('backend.agents.create_agent_info.urljoin') as mock_urljoin, \\\n                patch('backend.agents.create_agent_info.threading') as mock_threading, \\\n                patch('backend.agents.create_agent_info.query_current_version_no') as mock_version_no:\n\n            mock_join_query.return_value = \"processed_query\"\n            mock_create_models.return_value = [\"model_config\"]\n            mock_get_mcp.return_value = [\n                {\n                    \"remote_mcp_server_name\": \"test_server\",\n                    \"remote_mcp_server\": \"http://test.server\",\n                    \"status\": True,\n                    \"authorization_token\": \"bearer_token_123\"\n                }\n            ]\n            mock_create_agent.return_value = \"agent_config\"\n            mock_urljoin.return_value = \"http://nexent.mcp/sse\"\n            mock_filter.return_value = [\"http://test.server\"]\n            mock_threading.Event.return_value = \"stop_event\"\n            mock_version_no.return_value = 1\n\n            await create_agent_run_info(\n                agent_id=\"agent_1\",\n                minio_files=[],\n                query=\"test query\",\n                history=[],\n                user_id=\"user_1\",\n                tenant_id=\"tenant_1\",\n                language=\"zh\"\n            )\n\n            # Verify mcp_host includes authorization token\n            assert mock_agent_run_info.call_count == 1\n            call_args = mock_agent_run_info.call_args\n            mcp_host = call_args[1][\"mcp_host\"]\n            assert len(mcp_host) == 1\n            assert mcp_host[0] == {\n                \"url\": \"http://test.server\",\n                \"transport\": \"streamable-http\",\n                \"authorization\": \"bearer_token_123\"\n            }\n\n    @pytest.mark.asyncio\n    async def test_create_agent_run_info_with_sse_transport(self):\n        \"\"\"Test case for mcp_host with SSE transport (URL ends with /sse)\"\"\"\n        mock_agent_run_info.reset_mock()\n        with patch('backend.agents.create_agent_info.join_minio_file_description_to_query') as mock_join_query, \\\n                patch('backend.agents.create_agent_info.create_model_config_list') as mock_create_models, \\\n                patch('backend.agents.create_agent_info.get_remote_mcp_server_list', new_callable=AsyncMock) as mock_get_mcp, \\\n                patch('backend.agents.create_agent_info.create_agent_config') as mock_create_agent, \\\n                patch('backend.agents.create_agent_info.filter_mcp_servers_and_tools') as mock_filter, \\\n                patch('backend.agents.create_agent_info.urljoin') as mock_urljoin, \\\n                patch('backend.agents.create_agent_info.threading') as mock_threading, \\\n                patch('backend.agents.create_agent_info.query_current_version_no') as mock_version_no:\n\n            mock_join_query.return_value = \"processed_query\"\n            mock_create_models.return_value = [\"model_config\"]\n            mock_get_mcp.return_value = [\n                {\n                    \"remote_mcp_server_name\": \"sse_server\",\n                    \"remote_mcp_server\": \"http://sse.server/sse\",\n                    \"status\": True,\n                    \"authorization_token\": None\n                }\n            ]\n            mock_create_agent.return_value = \"agent_config\"\n            mock_urljoin.return_value = \"http://nexent.mcp/sse\"\n            mock_filter.return_value = [\"http://sse.server/sse\"]\n            mock_threading.Event.return_value = \"stop_event\"\n            mock_version_no.return_value = 1\n\n            await create_agent_run_info(\n                agent_id=\"agent_1\",\n                minio_files=[],\n                query=\"test query\",\n                history=[],\n                user_id=\"user_1\",\n                tenant_id=\"tenant_1\",\n                language=\"zh\"\n            )\n\n            # Verify mcp_host uses SSE transport\n            assert mock_agent_run_info.call_count == 1\n            call_args = mock_agent_run_info.call_args\n            mcp_host = call_args[1][\"mcp_host\"]\n            assert len(mcp_host) == 1\n            assert mcp_host[0] == {\n                \"url\": \"http://sse.server/sse\",\n                \"transport\": \"sse\"\n            }\n\n    @pytest.mark.asyncio\n    async def test_create_agent_run_info_fallback_to_string_format(self):\n        \"\"\"Test case for fallback to string format when MCP record not found\"\"\"\n        mock_agent_run_info.reset_mock()\n        with patch('backend.agents.create_agent_info.join_minio_file_description_to_query') as mock_join_query, \\\n                patch('backend.agents.create_agent_info.create_model_config_list') as mock_create_models, \\\n                patch('backend.agents.create_agent_info.get_remote_mcp_server_list', new_callable=AsyncMock) as mock_get_mcp, \\\n                patch('backend.agents.create_agent_info.create_agent_config') as mock_create_agent, \\\n                patch('backend.agents.create_agent_info.filter_mcp_servers_and_tools') as mock_filter, \\\n                patch('backend.agents.create_agent_info.urljoin') as mock_urljoin, \\\n                patch('backend.agents.create_agent_info.threading') as mock_threading, \\\n                patch('backend.agents.create_agent_info.query_current_version_no') as mock_version_no:\n\n            mock_join_query.return_value = \"processed_query\"\n            mock_create_models.return_value = [\"model_config\"]\n            # Return empty list so the URL from filter won't be found in remote_mcp_list\n            mock_get_mcp.return_value = []\n            mock_create_agent.return_value = \"agent_config\"\n            mock_urljoin.return_value = \"http://nexent.mcp/sse\"\n            # Filter returns a URL that doesn't exist in remote_mcp_list\n            mock_filter.return_value = [\"http://unknown.server\"]\n            mock_threading.Event.return_value = \"stop_event\"\n            mock_version_no.return_value = 1\n\n            await create_agent_run_info(\n                agent_id=\"agent_1\",\n                minio_files=[],\n                query=\"test query\",\n                history=[],\n                user_id=\"user_1\",\n                tenant_id=\"tenant_1\",\n                language=\"zh\"\n            )\n\n            # Verify mcp_host falls back to string format\n            assert mock_agent_run_info.call_count == 1\n            call_args = mock_agent_run_info.call_args\n            mcp_host = call_args[1][\"mcp_host\"]\n            assert len(mcp_host) == 1\n            assert mcp_host[0] == \"http://unknown.server\"\n\n    @pytest.mark.asyncio\n    async def test_create_agent_run_info_mixed_scenarios(self):\n        \"\"\"Test case for mixed scenarios: multiple servers with different configurations\"\"\"\n        mock_agent_run_info.reset_mock()\n        with patch('backend.agents.create_agent_info.join_minio_file_description_to_query') as mock_join_query, \\\n                patch('backend.agents.create_agent_info.create_model_config_list') as mock_create_models, \\\n                patch('backend.agents.create_agent_info.get_remote_mcp_server_list', new_callable=AsyncMock) as mock_get_mcp, \\\n                patch('backend.agents.create_agent_info.create_agent_config') as mock_create_agent, \\\n                patch('backend.agents.create_agent_info.filter_mcp_servers_and_tools') as mock_filter, \\\n                patch('backend.agents.create_agent_info.urljoin') as mock_urljoin, \\\n                patch('backend.agents.create_agent_info.threading') as mock_threading, \\\n                patch('backend.agents.create_agent_info.query_current_version_no') as mock_version_no:\n\n            mock_join_query.return_value = \"processed_query\"\n            mock_create_models.return_value = [\"model_config\"]\n            mock_get_mcp.return_value = [\n                {\n                    \"remote_mcp_server_name\": \"server1\",\n                    \"remote_mcp_server\": \"http://server1.com\",\n                    \"status\": True,\n                    \"authorization_token\": \"token1\"\n                },\n                {\n                    \"remote_mcp_server_name\": \"server2\",\n                    \"remote_mcp_server\": \"http://server2.com/sse\",\n                    \"status\": True,\n                    \"authorization_token\": None\n                },\n                {\n                    \"remote_mcp_server_name\": \"server3\",\n                    \"remote_mcp_server\": \"http://server3.com\",\n                    \"status\": True,\n                    \"authorization_token\": \"token3\"\n                }\n            ]\n            mock_create_agent.return_value = \"agent_config\"\n            mock_urljoin.return_value = \"http://nexent.mcp/sse\"\n            # Filter returns URLs: one with token, one SSE without token, one unknown\n            mock_filter.return_value = [\n                \"http://server1.com\",\n                \"http://server2.com/sse\",\n                \"http://unknown.server\"\n            ]\n            mock_threading.Event.return_value = \"stop_event\"\n            mock_version_no.return_value = 1\n\n            await create_agent_run_info(\n                agent_id=\"agent_1\",\n                minio_files=[],\n                query=\"test query\",\n                history=[],\n                user_id=\"user_1\",\n                tenant_id=\"tenant_1\",\n                language=\"zh\"\n            )\n\n            # Verify mcp_host contains mixed formats\n            assert mock_agent_run_info.call_count == 1\n            call_args = mock_agent_run_info.call_args\n            mcp_host = call_args[1][\"mcp_host\"]\n            assert len(mcp_host) == 3\n            # First: dict with authorization and streamable-http\n            assert mcp_host[0] == {\n                \"url\": \"http://server1.com\",\n                \"transport\": \"streamable-http\",\n                \"authorization\": \"token1\"\n            }\n            # Second: dict with SSE transport, no authorization\n            assert mcp_host[1] == {\n                \"url\": \"http://server2.com/sse\",\n                \"transport\": \"sse\"\n            }\n            # Third: string format (fallback for unknown server)\n            assert mcp_host[2] == \"http://unknown.server\"\n\n    @pytest.mark.asyncio\n    async def test_create_agent_run_info_with_status_false(self):\n        \"\"\"Test case for MCP record with status=False (should not be matched)\"\"\"\n        mock_agent_run_info.reset_mock()\n        with patch('backend.agents.create_agent_info.join_minio_file_description_to_query') as mock_join_query, \\\n                patch('backend.agents.create_agent_info.create_model_config_list') as mock_create_models, \\\n                patch('backend.agents.create_agent_info.get_remote_mcp_server_list', new_callable=AsyncMock) as mock_get_mcp, \\\n                patch('backend.agents.create_agent_info.create_agent_config') as mock_create_agent, \\\n                patch('backend.agents.create_agent_info.filter_mcp_servers_and_tools') as mock_filter, \\\n                patch('backend.agents.create_agent_info.urljoin') as mock_urljoin, \\\n                patch('backend.agents.create_agent_info.threading') as mock_threading, \\\n                patch('backend.agents.create_agent_info.query_current_version_no') as mock_version_no:\n\n            mock_join_query.return_value = \"processed_query\"\n            mock_create_models.return_value = [\"model_config\"]\n            mock_get_mcp.return_value = [\n                {\n                    \"remote_mcp_server_name\": \"disabled_server\",\n                    \"remote_mcp_server\": \"http://disabled.server\",\n                    \"status\": False,  # Status is False\n                    \"authorization_token\": \"token\"\n                }\n            ]\n            mock_create_agent.return_value = \"agent_config\"\n            mock_urljoin.return_value = \"http://nexent.mcp/sse\"\n            # Filter returns URL that exists but has status=False\n            mock_filter.return_value = [\"http://disabled.server\"]\n            mock_threading.Event.return_value = \"stop_event\"\n            mock_version_no.return_value = 1\n\n            await create_agent_run_info(\n                agent_id=\"agent_1\",\n                minio_files=[],\n                query=\"test query\",\n                history=[],\n                user_id=\"user_1\",\n                tenant_id=\"tenant_1\",\n                language=\"zh\"\n            )\n\n            # Verify mcp_host falls back to string format because status=False\n            assert mock_agent_run_info.call_count == 1\n            call_args = mock_agent_run_info.call_args\n            mcp_host = call_args[1][\"mcp_host\"]\n            assert len(mcp_host) == 1\n            assert mcp_host[0] == \"http://disabled.server\"\n\n    @pytest.mark.asyncio\n    async def test_create_agent_run_info_forwards_allow_memory_false(self):\n        with (\n            patch(\n                \"backend.agents.create_agent_info.join_minio_file_description_to_query\"\n            ) as mock_join_query,\n            patch(\n                \"backend.agents.create_agent_info.create_model_config_list\"\n            ) as mock_create_models,\n            patch(\n                \"backend.agents.create_agent_info.get_remote_mcp_server_list\",\n                new_callable=AsyncMock,\n            ) as mock_get_mcp,\n            patch(\n                \"backend.agents.create_agent_info.create_agent_config\"\n            ) as mock_create_agent,\n            patch(\n                \"backend.agents.create_agent_info.filter_mcp_servers_and_tools\"\n            ) as mock_filter,\n            patch(\"backend.agents.create_agent_info.urljoin\") as mock_urljoin,\n            patch(\"backend.agents.create_agent_info.threading\") as mock_threading,\n            patch(\"backend.agents.create_agent_info.query_current_version_no\") as mock_version_no,\n        ):\n            mock_join_query.return_value = \"processed_query\"\n            mock_create_models.return_value = [\"model_config\"]\n            mock_get_mcp.return_value = []\n            mock_create_agent.return_value = \"agent_config\"\n            mock_urljoin.return_value = \"http://nexent.mcp/sse\"\n            mock_filter.return_value = []\n            mock_threading.Event.return_value = \"stop_event\"\n            mock_version_no.return_value = 1\n\n            await create_agent_run_info(\n                agent_id=\"agent_1\",\n                minio_files=[],\n                query=\"test query\",\n                history=[],\n                tenant_id=\"tenant_1\",\n                user_id=\"user_1\",\n                language=\"zh\",\n                allow_memory_search=False,\n            )\n\n            mock_create_agent.assert_called_once_with(\n                agent_id=\"agent_1\",\n                tenant_id=\"tenant_1\",\n                user_id=\"user_1\",\n                language=\"zh\",\n                last_user_query=\"processed_query\",\n                allow_memory_search=False,\n                version_no=1,\n            )\n\n    @pytest.mark.asyncio\n    async def test_create_agent_run_info_is_debug_true(self):\n        \"\"\"Test case for is_debug=True uses version_no=0 without calling query_current_version_no\"\"\"\n        mock_agent_run_info.reset_mock()\n        with patch('backend.agents.create_agent_info.join_minio_file_description_to_query') as mock_join_query, \\\n                patch('backend.agents.create_agent_info.create_model_config_list') as mock_create_models, \\\n                patch('backend.agents.create_agent_info.get_remote_mcp_server_list', new_callable=AsyncMock) as mock_get_mcp, \\\n                patch('backend.agents.create_agent_info.create_agent_config') as mock_create_agent, \\\n                patch('backend.agents.create_agent_info.filter_mcp_servers_and_tools') as mock_filter, \\\n                patch('backend.agents.create_agent_info.urljoin') as mock_urljoin, \\\n                patch('backend.agents.create_agent_info.threading') as mock_threading, \\\n                patch('backend.agents.create_agent_info.query_current_version_no') as mock_version_no:\n\n            mock_join_query.return_value = \"processed_query\"\n            mock_create_models.return_value = [\"model_config\"]\n            mock_get_mcp.return_value = []\n            mock_create_agent.return_value = \"agent_config\"\n            mock_urljoin.return_value = \"http://nexent.mcp/sse\"\n            mock_filter.return_value = []\n            mock_threading.Event.return_value = \"stop_event\"\n\n            await create_agent_run_info(\n                agent_id=\"agent_1\",\n                minio_files=[],\n                query=\"test query\",\n                history=[],\n                user_id=\"user_1\",\n                tenant_id=\"tenant_1\",\n                language=\"zh\",\n                is_debug=True,  # Enable debug mode\n            )\n\n            # Verify that query_current_version_no was NOT called (because is_debug=True)\n            mock_version_no.assert_not_called()\n\n            # Verify that create_agent_config was called with version_no=0 (draft version)\n            mock_create_agent.assert_called_once_with(\n                agent_id=\"agent_1\",\n                tenant_id=\"tenant_1\",\n                user_id=\"user_1\",\n                language=\"zh\",\n                last_user_query=\"processed_query\",\n                allow_memory_search=True,\n                version_no=0,  # Debug mode uses draft version 0\n            )\n\n    @pytest.mark.asyncio\n    async def test_create_agent_run_info_no_published_version_fallback(self):\n        \"\"\"Test case when query_current_version_no returns None, should fallback to version_no=0\"\"\"\n        mock_agent_run_info.reset_mock()\n        with patch('backend.agents.create_agent_info.join_minio_file_description_to_query') as mock_join_query, \\\n                patch('backend.agents.create_agent_info.create_model_config_list') as mock_create_models, \\\n                patch('backend.agents.create_agent_info.get_remote_mcp_server_list', new_callable=AsyncMock) as mock_get_mcp, \\\n                patch('backend.agents.create_agent_info.create_agent_config') as mock_create_agent, \\\n                patch('backend.agents.create_agent_info.filter_mcp_servers_and_tools') as mock_filter, \\\n                patch('backend.agents.create_agent_info.urljoin') as mock_urljoin, \\\n                patch('backend.agents.create_agent_info.threading') as mock_threading, \\\n                patch('backend.agents.create_agent_info.query_current_version_no') as mock_version_no, \\\n                patch('backend.agents.create_agent_info.logger') as mock_logger:\n\n            mock_join_query.return_value = \"processed_query\"\n            mock_create_models.return_value = [\"model_config\"]\n            mock_get_mcp.return_value = []\n            mock_create_agent.return_value = \"agent_config\"\n            mock_urljoin.return_value = \"http://nexent.mcp/sse\"\n            mock_filter.return_value = []\n            mock_threading.Event.return_value = \"stop_event\"\n            # Simulate no published version exists\n            mock_version_no.return_value = None\n\n            await create_agent_run_info(\n                agent_id=\"agent_1\",\n                minio_files=[],\n                query=\"test query\",\n                history=[],\n                user_id=\"user_1\",\n                tenant_id=\"tenant_1\",\n                language=\"zh\",\n                is_debug=False,\n            )\n\n            # Verify that query_current_version_no was called\n            mock_version_no.assert_called_once_with(agent_id=\"agent_1\", tenant_id=\"tenant_1\")\n\n            # Verify that logger.info was called with fallback message\n            mock_logger.info.assert_called_once_with(\"Agent agent_1 has no published version, using draft version 0\")\n\n            # Verify that create_agent_config was called with version_no=0 (fallback)\n            mock_create_agent.assert_called_once_with(\n                agent_id=\"agent_1\",\n                tenant_id=\"tenant_1\",\n                user_id=\"user_1\",\n                language=\"zh\",\n                last_user_query=\"processed_query\",\n                allow_memory_search=True,\n                version_no=0,  # Fallback to draft version 0\n            )\n            # Verify that get_remote_mcp_server_list was called with is_need_auth=True\n            mock_get_mcp.assert_called_once_with(tenant_id=\"tenant_1\", is_need_auth=True)\n\n    @pytest.mark.asyncio\n    async def test_create_agent_run_info_is_need_auth_true_includes_token(self):\n        \"\"\"Test that get_remote_mcp_server_list is called with is_need_auth=True and returns authorization_token\"\"\"\n        mock_agent_run_info.reset_mock()\n        with patch('backend.agents.create_agent_info.join_minio_file_description_to_query') as mock_join_query, \\\n                patch('backend.agents.create_agent_info.create_model_config_list') as mock_create_models, \\\n                patch('backend.agents.create_agent_info.get_remote_mcp_server_list', new_callable=AsyncMock) as mock_get_mcp, \\\n                patch('backend.agents.create_agent_info.create_agent_config') as mock_create_agent, \\\n                patch('backend.agents.create_agent_info.filter_mcp_servers_and_tools') as mock_filter, \\\n                patch('backend.agents.create_agent_info.urljoin') as mock_urljoin, \\\n                patch('backend.agents.create_agent_info.threading') as mock_threading, \\\n                patch('backend.agents.create_agent_info.query_current_version_no') as mock_version_no:\n\n            mock_join_query.return_value = \"processed_query\"\n            mock_create_models.return_value = [\"model_config\"]\n            # Mock return value with authorization_token (when is_need_auth=True)\n            mock_get_mcp.return_value = [\n                {\n                    \"remote_mcp_server_name\": \"test_server\",\n                    \"remote_mcp_server\": \"http://test.server\",\n                    \"status\": True,\n                    \"authorization_token\": \"secret_token_123\",\n                    \"mcp_id\": 1\n                }\n            ]\n            mock_create_agent.return_value = \"agent_config\"\n            mock_urljoin.return_value = \"http://nexent.mcp/sse\"\n            mock_filter.return_value = [\"http://test.server\"]\n            mock_threading.Event.return_value = \"stop_event\"\n            mock_version_no.return_value = 1\n\n            await create_agent_run_info(\n                agent_id=\"agent_1\",\n                minio_files=[],\n                query=\"test query\",\n                history=[],\n                user_id=\"user_1\",\n                tenant_id=\"tenant_1\",\n                language=\"zh\"\n            )\n\n            # Verify that get_remote_mcp_server_list was called with is_need_auth=True\n            mock_get_mcp.assert_called_once_with(tenant_id=\"tenant_1\", is_need_auth=True)\n            \n            # Verify that the returned data includes authorization_token (used in mcp_host construction)\n            assert mock_get_mcp.return_value[0][\"authorization_token\"] == \"secret_token_123\"\n\n\nclass TestJoinMinioFileDescriptionToQuery:\n    \"\"\"Tests for the join_minio_file_description_to_query function\"\"\"\n\n    @pytest.mark.asyncio\n    async def test_join_minio_file_description_to_query_with_files(self):\n        \"\"\"Test case with file descriptions\"\"\"\n        minio_files = [\n            {\"url\": \"/nexent/1.pdf\", \"name\": \"1.pdf\"},\n            {\"url\": \"/nexent/2.pdf\", \"name\": \"2.pdf\"},\n            {\"no_description\": \"should be ignored\"}\n        ]\n        query = \"test query\"\n\n        result = await join_minio_file_description_to_query(minio_files, query)\n\n        expected = \"User uploaded files. The file information is as follows:\\nFile name: 1.pdf, S3 URL: s3://nexent/1.pdf\\nFile name: 2.pdf, S3 URL: s3://nexent/2.pdf\\n\\nUser wants to answer questions based on the information in the above files: test query\"\n        assert result == expected\n\n    @pytest.mark.asyncio\n    async def test_join_minio_file_description_to_query_no_files(self):\n        \"\"\"Test case with no files\"\"\"\n        minio_files = []\n        query = \"test query\"\n\n        result = await join_minio_file_description_to_query(minio_files, query)\n\n        assert result == \"test query\"\n\n    @pytest.mark.asyncio\n    async def test_join_minio_file_description_to_query_none_files(self):\n        \"\"\"Test case when files are None\"\"\"\n        minio_files = None\n        query = \"test query\"\n\n        result = await join_minio_file_description_to_query(minio_files, query)\n\n        assert result == \"test query\"\n\n    @pytest.mark.asyncio\n    async def test_join_minio_file_description_to_query_no_descriptions(self):\n        \"\"\"Test case when files have no descriptions\"\"\"\n        minio_files = [\n            {\"no_description\": \"should be ignored\"},\n            {\"another_field\": \"also ignored\"}\n        ]\n        query = \"test query\"\n\n        result = await join_minio_file_description_to_query(minio_files, query)\n\n        assert result == \"test query\"\n\n\nclass TestPreparePromptTemplates:\n    \"\"\"Tests for the prepare_prompt_templates function\"\"\"\n\n    @pytest.mark.asyncio\n    async def test_prepare_prompt_templates_manager_zh(self):\n        \"\"\"Test case for manager mode Chinese prompt templates\"\"\"\n        with patch('backend.agents.create_agent_info.get_agent_prompt_template') as mock_get_template:\n\n            mock_get_template.return_value = {\"test\": \"template\"}\n\n            result = await prepare_prompt_templates(True, \"test system prompt\", \"zh\")\n\n            mock_get_template.assert_called_once_with(True, \"zh\")\n            assert result[\"system_prompt\"] == \"test system prompt\"\n            assert result[\"test\"] == \"template\"\n\n    @pytest.mark.asyncio\n    async def test_prepare_prompt_templates_worker_en(self):\n        \"\"\"Test case for worker mode English prompt templates\"\"\"\n        with patch('backend.agents.create_agent_info.get_agent_prompt_template') as mock_get_template:\n\n            mock_get_template.return_value = {\"test\": \"template\"}\n\n            result = await prepare_prompt_templates(False, \"test system prompt\", \"en\")\n\n            mock_get_template.assert_called_once_with(False, \"en\")\n            assert result[\"system_prompt\"] == \"test system prompt\"\n            assert result[\"test\"] == \"template\"\n\n\nif __name__ == \"__main__\":\n    pytest.main([__file__])\n"
  },
  {
    "path": "test/backend/agents/test_preprocess_manager.py",
    "content": "import pytest\nimport asyncio\nfrom unittest.mock import Mock, AsyncMock\nfrom backend.agents.preprocess_manager import PreprocessManager, PreprocessTask\n\n\nclass TestPreprocessManager:\n    def setup_method(self):\n        \"\"\"Reset manager before each test\"\"\"\n        self.manager = PreprocessManager()\n        # Clear any existing state\n        self.manager.preprocess_tasks.clear()\n        self.manager.conversation_tasks.clear()\n\n    def test_singleton_pattern(self):\n        \"\"\"Test that PreprocessManager is a singleton\"\"\"\n        manager1 = PreprocessManager()\n        manager2 = PreprocessManager()\n        assert manager1 is manager2\n\n    def test_register_preprocess_task(self):\n        \"\"\"Test registering a preprocess task\"\"\"\n        task_id = \"test-task-1\"\n        conversation_id = 123\n        mock_task = Mock()\n        \n        self.manager.register_preprocess_task(task_id, conversation_id, mock_task)\n        \n        assert task_id in self.manager.preprocess_tasks\n        assert conversation_id in self.manager.conversation_tasks\n        assert task_id in self.manager.conversation_tasks[conversation_id]\n        \n        task = self.manager.preprocess_tasks[task_id]\n        assert task.task_id == task_id\n        assert task.conversation_id == conversation_id\n        assert task.task == mock_task\n        assert task.is_running is True\n\n    def test_unregister_preprocess_task(self):\n        \"\"\"Test unregistering a preprocess task\"\"\"\n        task_id = \"test-task-1\"\n        conversation_id = 123\n        mock_task = Mock()\n        \n        # Register first\n        self.manager.register_preprocess_task(task_id, conversation_id, mock_task)\n        assert task_id in self.manager.preprocess_tasks\n        \n        # Then unregister\n        self.manager.unregister_preprocess_task(task_id)\n        assert task_id not in self.manager.preprocess_tasks\n        assert conversation_id not in self.manager.conversation_tasks\n\n    def test_stop_preprocess_tasks(self):\n        \"\"\"Test stopping preprocess tasks for a conversation\"\"\"\n        task_id1 = \"test-task-1\"\n        task_id2 = \"test-task-2\"\n        conversation_id = 123\n        mock_task1 = Mock()\n        mock_task2 = Mock()\n        \n        # Register two tasks\n        self.manager.register_preprocess_task(task_id1, conversation_id, mock_task1)\n        self.manager.register_preprocess_task(task_id2, conversation_id, mock_task2)\n        \n        # Stop tasks\n        result = self.manager.stop_preprocess_tasks(conversation_id)\n        \n        assert result is True\n        assert not self.manager.preprocess_tasks[task_id1].is_running\n        assert not self.manager.preprocess_tasks[task_id2].is_running\n\n    def test_stop_preprocess_tasks_nonexistent(self):\n        \"\"\"Test stopping preprocess tasks for non-existent conversation\"\"\"\n        result = self.manager.stop_preprocess_tasks(999)\n        assert result is False\n\n    def test_is_preprocess_running(self):\n        \"\"\"Test checking if preprocess is running\"\"\"\n        task_id = \"test-task-1\"\n        conversation_id = 123\n        mock_task = Mock()\n        \n        # Initially no tasks running\n        assert not self.manager.is_preprocess_running(conversation_id)\n        \n        # Register a task\n        self.manager.register_preprocess_task(task_id, conversation_id, mock_task)\n        assert self.manager.is_preprocess_running(conversation_id)\n        \n        # Stop the task\n        self.manager.stop_preprocess_tasks(conversation_id)\n        assert not self.manager.is_preprocess_running(conversation_id)\n\n    def test_get_preprocess_status(self):\n        \"\"\"Test getting preprocess status\"\"\"\n        task_id = \"test-task-1\"\n        conversation_id = 123\n        mock_task = Mock()\n        \n        # Initially no status\n        status = self.manager.get_preprocess_status(conversation_id)\n        assert status[\"running\"] is False\n        assert status[\"task_count\"] == 0\n        \n        # Register a task\n        self.manager.register_preprocess_task(task_id, conversation_id, mock_task)\n        status = self.manager.get_preprocess_status(conversation_id)\n        assert status[\"running\"] is True\n        assert status[\"task_count\"] == 1\n        assert len(status[\"tasks\"]) == 1\n        assert status[\"tasks\"][0][\"task_id\"] == task_id\n\n    def test_multiple_conversations(self):\n        \"\"\"Test handling multiple conversations\"\"\"\n        task_id1 = \"task-1\"\n        task_id2 = \"task-2\"\n        conv_id1 = 123\n        conv_id2 = 456\n        mock_task1 = Mock()\n        mock_task2 = Mock()\n        \n        # Register tasks for different conversations\n        self.manager.register_preprocess_task(task_id1, conv_id1, mock_task1)\n        self.manager.register_preprocess_task(task_id2, conv_id2, mock_task2)\n        \n        # Check status for each conversation\n        status1 = self.manager.get_preprocess_status(conv_id1)\n        status2 = self.manager.get_preprocess_status(conv_id2)\n        \n        assert status1[\"running\"] is True\n        assert status2[\"running\"] is True\n        assert status1[\"task_count\"] == 1\n        assert status2[\"task_count\"] == 1\n        \n        # Stop one conversation\n        self.manager.stop_preprocess_tasks(conv_id1)\n        \n        status1 = self.manager.get_preprocess_status(conv_id1)\n        status2 = self.manager.get_preprocess_status(conv_id2)\n        \n        assert status1[\"running\"] is False\n        assert status2[\"running\"] is True\n\n\nclass TestPreprocessTask:\n    def test_preprocess_task_creation(self):\n        \"\"\"Test PreprocessTask creation\"\"\"\n        task_id = \"test-task\"\n        conversation_id = 123\n        \n        task = PreprocessTask(task_id, conversation_id)\n        \n        assert task.task_id == task_id\n        assert task.conversation_id == conversation_id\n        assert task.is_running is True\n        assert task.task is None\n        assert not task.stop_event.is_set()\n\n    def test_stop_event(self):\n        \"\"\"Test stop event functionality\"\"\"\n        task = PreprocessTask(\"test\", 123)\n        \n        # Initially not set\n        assert not task.stop_event.is_set()\n        \n        # Set the event\n        task.stop_event.set()\n        assert task.stop_event.is_set()\n        \n        # Clear the event\n        task.stop_event.clear()\n        assert not task.stop_event.is_set() "
  },
  {
    "path": "test/backend/app/test_agent_app.py",
    "content": "import atexit\nfrom unittest.mock import patch, Mock, MagicMock, ANY\nimport os\nimport sys\nimport types\nimport warnings\n\nimport pytest\nfrom fastapi import FastAPI\nfrom fastapi.responses import StreamingResponse\nfrom fastapi.testclient import TestClient\n\n# Filter out deprecation warnings from third-party libraries\nwarnings.filterwarnings(\"ignore\", category=DeprecationWarning, module=\"pyiceberg\")\npytestmark = pytest.mark.filterwarnings(\"ignore::DeprecationWarning:pyiceberg.*\")\n\n# Dynamically determine the backend path - MUST BE FIRST\ncurrent_dir = os.path.dirname(os.path.abspath(__file__))\nbackend_dir = os.path.abspath(os.path.join(current_dir, \"../../../backend\"))\nsys.path.insert(0, backend_dir)\n\n# Mock boto3 before importing backend modules\nboto3_mock = MagicMock()\nsys.modules['boto3'] = boto3_mock\n\n# Apply critical patches before importing any modules\n# This prevents real AWS/MinIO/Elasticsearch calls during import\npatch('botocore.client.BaseClient._make_api_call', return_value={}).start()\n\n# Patch storage factory and MinIO config validation to avoid errors during initialization\n# These patches must be started before any imports that use MinioClient\nstorage_client_mock = MagicMock()\nminio_mock = MagicMock()\nminio_mock._ensure_bucket_exists = MagicMock()\nminio_mock.client = MagicMock()\npatch('nexent.storage.storage_client_factory.create_storage_client_from_config', return_value=storage_client_mock).start()\npatch('nexent.storage.minio_config.MinIOStorageConfig.validate', lambda self: None).start()\npatch('backend.database.client.MinioClient', return_value=minio_mock).start()\npatch('database.client.MinioClient', return_value=minio_mock).start()\npatch('backend.database.client.minio_client', minio_mock).start()\npatch('elasticsearch.Elasticsearch', return_value=MagicMock()).start()\n\n# Apply patches before importing any app modules (similar to test_config_app.py)\npatches = [\n    # Mock database sessions\n    patch('backend.database.client.get_db_session', return_value=Mock())\n]\n\nfor p in patches:\n    p.start()\n\n# Import target endpoints with all external dependencies patched\nfrom apps.agent_app import agent_config_router, agent_runtime_router\n\n# Mock external dependencies before importing the modules that use them\n# Stub nexent.core.agents.agent_model.ToolConfig to satisfy type imports in consts.model\nagent_model_stub = types.ModuleType(\"agent_model\")\n\n\nclass ToolConfig:  # minimal stub for type reference\n    pass\n\n\nagent_model_stub.ToolConfig = ToolConfig\n\n# Mock monitoring modules\nmonitoring_stub = types.ModuleType(\"monitor\")\nmonitoring_manager_mock = pytest.importorskip(\"unittest.mock\").MagicMock()\n\n# Define a decorator that simply returns the original function unchanged\n\n\ndef pass_through_decorator(*args, **kwargs):\n    def decorator(func):\n        return func\n    return decorator\n\n\nmonitoring_manager_mock.monitor_endpoint = pass_through_decorator\nmonitoring_manager_mock.monitor_llm_call = pass_through_decorator\nmonitoring_manager_mock.setup_fastapi_app = pytest.importorskip(\n    \"unittest.mock\").MagicMock(return_value=True)\nmonitoring_manager_mock.configure = pytest.importorskip(\n    \"unittest.mock\").MagicMock()\nmonitoring_manager_mock.add_span_event = pytest.importorskip(\n    \"unittest.mock\").MagicMock()\nmonitoring_manager_mock.set_span_attributes = pytest.importorskip(\n    \"unittest.mock\").MagicMock()\n\nmonitoring_stub.get_monitoring_manager = lambda: monitoring_manager_mock\nmonitoring_stub.monitoring_manager = monitoring_manager_mock\nmonitoring_stub.MonitoringManager = pytest.importorskip(\n    \"unittest.mock\").MagicMock\nmonitoring_stub.MonitoringConfig = pytest.importorskip(\n    \"unittest.mock\").MagicMock\n\n# Ensure module hierarchy exists in sys.modules\nsys.modules['nexent'] = types.ModuleType('nexent')\nsys.modules['nexent.core'] = types.ModuleType('nexent.core')\nsys.modules['nexent.core.agents'] = types.ModuleType('nexent.core.agents')\nsys.modules['nexent.core.agents.agent_model'] = agent_model_stub\nsys.modules['nexent.monitor'] = monitoring_stub\nsys.modules['nexent.monitor.monitoring'] = monitoring_stub\nsys.modules['database.client'] = pytest.importorskip(\n    \"unittest.mock\").MagicMock()\nsys.modules['database.agent_db'] = pytest.importorskip(\n    \"unittest.mock\").MagicMock()\nsys.modules['agents.create_agent_info'] = pytest.importorskip(\n    \"unittest.mock\").MagicMock()\nsys.modules['nexent.core.agents.run_agent'] = pytest.importorskip(\n    \"unittest.mock\").MagicMock()\nsys.modules['supabase'] = pytest.importorskip(\"unittest.mock\").MagicMock()\nsys.modules['utils.auth_utils'] = pytest.importorskip(\n    \"unittest.mock\").MagicMock()\nsys.modules['utils.config_utils'] = pytest.importorskip(\n    \"unittest.mock\").MagicMock()\nsys.modules['utils.thread_utils'] = pytest.importorskip(\n    \"unittest.mock\").MagicMock()\n# Mock utils.monitoring to return our monitoring_manager_mock\nutils_monitoring_mock = pytest.importorskip(\"unittest.mock\").MagicMock()\nutils_monitoring_mock.monitoring_manager = monitoring_manager_mock\nutils_monitoring_mock.setup_fastapi_app = pytest.importorskip(\n    \"unittest.mock\").MagicMock(return_value=True)\nsys.modules['utils.monitoring'] = utils_monitoring_mock\nsys.modules['agents.agent_run_manager'] = pytest.importorskip(\n    \"unittest.mock\").MagicMock()\nsys.modules['services.agent_service'] = pytest.importorskip(\n    \"unittest.mock\").MagicMock()\nsys.modules['services.conversation_management_service'] = pytest.importorskip(\n    \"unittest.mock\").MagicMock()\nsys.modules['services.memory_config_service'] = pytest.importorskip(\n    \"unittest.mock\").MagicMock()\n\n# Now safe to import app modules after all mocks are set up\n\n# Stop all patches at the end of the module\n\n\ndef stop_patches():\n    for p in patches:\n        p.stop()\n\n\natexit.register(stop_patches)\n\n# Create FastAPI apps for runtime and config routers\nruntime_app = FastAPI()\nruntime_app.include_router(agent_runtime_router)\nruntime_client = TestClient(runtime_app)\n\nconfig_app = FastAPI()\nconfig_app.include_router(agent_config_router)\nconfig_client = TestClient(config_app)\n\n\n@pytest.fixture\ndef mock_auth_header():\n    return {\"Authorization\": \"Bearer test_token\"}\n\n\n@pytest.fixture\ndef mock_conversation_id():\n    return 123\n\n\n@pytest.mark.asyncio\nasync def test_agent_run_api(mocker, mock_auth_header):\n    \"\"\"Test agent_run_api endpoint.\"\"\"\n    mock_run_agent_stream = mocker.patch(\n        \"apps.agent_app.run_agent_stream\", new_callable=mocker.AsyncMock)\n\n    # Mock the streaming response\n    async def mock_stream():\n        yield b\"data: chunk1\\n\\n\"\n        yield b\"data: chunk2\\n\\n\"\n\n    mock_run_agent_stream.return_value = StreamingResponse(\n        mock_stream(), media_type=\"text/event-stream\")\n\n    response = runtime_client.post(\n        \"/agent/run\",\n        json={\n            \"agent_id\": 1,\n            \"conversation_id\": 123,\n            \"query\": \"test query\",\n            \"history\": [],\n            \"minio_files\": [],\n            \"is_debug\": False,\n        },\n        headers=mock_auth_header\n    )\n\n    assert response.status_code == 200\n    mock_run_agent_stream.assert_called_once()\n    assert \"text/event-stream\" in response.headers[\"content-type\"]\n\n    # Check streamed content\n    content = response.content.decode()\n    assert \"data: chunk1\" in content\n    assert \"data: chunk2\" in content\n\n\ndef test_agent_stop_api_success(mocker, mock_conversation_id):\n    \"\"\"Test agent_stop_api success case.\"\"\"\n    # Mock the authentication function to return user_id\n    mock_get_user_id = mocker.patch(\"apps.agent_app.get_current_user_id\")\n    mock_get_user_id.return_value = (\"test_user_id\", \"test_tenant_id\")\n\n    mock_stop_tasks = mocker.patch(\"apps.agent_app.stop_agent_tasks\")\n    mock_stop_tasks.return_value = {\"status\": \"success\"}\n\n    response = runtime_client.get(\n        f\"/agent/stop/{mock_conversation_id}\",\n        headers={\"Authorization\": \"Bearer test_token\"}\n    )\n\n    assert response.status_code == 200\n    mock_get_user_id.assert_called_once_with(\"Bearer test_token\")\n    mock_stop_tasks.assert_called_once_with(\n        mock_conversation_id, \"test_user_id\")\n    assert response.json()[\"status\"] == \"success\"\n\n\ndef test_agent_stop_api_not_found(mocker, mock_conversation_id):\n    \"\"\"Test agent_stop_api not found case.\"\"\"\n    # Mock the authentication function to return user_id\n    mock_get_user_id = mocker.patch(\"apps.agent_app.get_current_user_id\")\n    mock_get_user_id.return_value = (\"test_user_id\", \"test_tenant_id\")\n\n    mock_stop_tasks = mocker.patch(\"apps.agent_app.stop_agent_tasks\")\n    mock_stop_tasks.return_value = {\"status\": \"error\"}  # Simulate not found\n\n    response = runtime_client.get(\n        f\"/agent/stop/{mock_conversation_id}\",\n        headers={\"Authorization\": \"Bearer test_token\"}\n    )\n\n    # The app should raise HTTPException for non-success status\n    assert response.status_code == 400\n    mock_get_user_id.assert_called_once_with(\"Bearer test_token\")\n    mock_stop_tasks.assert_called_once_with(\n        mock_conversation_id, \"test_user_id\")\n    assert \"no running agent or preprocess tasks found\" in response.json()[\n        \"detail\"]\n\n\ndef test_search_agent_info_api_success(mocker, mock_auth_header):\n    \"\"\"Test search_agent_info_api success case without tenant_id query parameter (uses auth tenant_id) and default version_no=0.\"\"\"\n    # Setup mocks using pytest-mock\n    mock_get_user_id = mocker.patch(\"apps.agent_app.get_current_user_id\")\n    mock_get_agent_info = mocker.patch(\n        \"apps.agent_app.get_agent_info_impl\", new_callable=mocker.AsyncMock)\n    mock_get_user_id.return_value = (\"user_id\", \"auth_tenant_id\")\n    mock_get_agent_info.return_value = {\"agent_id\": 123, \"name\": \"Test Agent\"}\n\n    # Test the endpoint without tenant_id query parameter and without version_no (defaults to 0)\n    response = config_client.post(\n        \"/agent/search_info\",\n        json={\"agent_id\": 123},  # agent_id as body parameter, version_no defaults to 0\n        headers=mock_auth_header\n    )\n\n    # Assertions\n    assert response.status_code == 200\n    mock_get_user_id.assert_called_once_with(mock_auth_header[\"Authorization\"])\n    # Should use auth tenant_id when query parameter is not provided, and default version_no=0\n    mock_get_agent_info.assert_called_once_with(123, \"auth_tenant_id\", 0)\n    assert response.json()[\"agent_id\"] == 123\n    assert response.json()[\"name\"] == \"Test Agent\"\n\n\ndef test_search_agent_info_api_with_explicit_tenant_id(mocker, mock_auth_header):\n    \"\"\"Test search_agent_info_api success case with explicit tenant_id query parameter and default version_no=0.\"\"\"\n    # Setup mocks using pytest-mock\n    mock_get_user_id = mocker.patch(\"apps.agent_app.get_current_user_id\")\n    mock_get_agent_info = mocker.patch(\n        \"apps.agent_app.get_agent_info_impl\", new_callable=mocker.AsyncMock)\n    # Mock return values - auth tenant_id is different from explicit tenant_id\n    mock_get_user_id.return_value = (\"user_id\", \"auth_tenant_id\")\n    mock_get_agent_info.return_value = {\n        \"agent_id\": 456,\n        \"name\": \"Test Agent with Explicit Tenant\",\n        \"display_name\": \"Display Name\"\n    }\n\n    # Test the endpoint with explicit tenant_id query parameter\n    explicit_tenant_id = \"explicit_tenant_789\"\n    response = config_client.post(\n        \"/agent/search_info\",\n        json={\"agent_id\": 456},  # agent_id as body parameter, version_no defaults to 0\n        params={\"tenant_id\": explicit_tenant_id},\n        headers=mock_auth_header\n    )\n\n    # Assertions\n    assert response.status_code == 200\n    mock_get_user_id.assert_called_once_with(mock_auth_header[\"Authorization\"])\n    # Should use explicit tenant_id when provided, not auth tenant_id, and default version_no=0\n    mock_get_agent_info.assert_called_once_with(456, explicit_tenant_id, 0)\n    assert response.json()[\"agent_id\"] == 456\n    assert response.json()[\"name\"] == \"Test Agent with Explicit Tenant\"\n    assert response.json()[\"display_name\"] == \"Display Name\"\n\n\ndef test_search_agent_info_api_exception(mocker, mock_auth_header):\n    \"\"\"Test search_agent_info_api exception handling without tenant_id query parameter and default version_no=0.\"\"\"\n    # Setup mocks using pytest-mock\n    mock_get_user_id = mocker.patch(\"apps.agent_app.get_current_user_id\")\n    mock_get_agent_info = mocker.patch(\n        \"apps.agent_app.get_agent_info_impl\", new_callable=mocker.AsyncMock)\n    mock_get_user_id.return_value = (\"user_id\", \"auth_tenant_id\")\n    mock_get_agent_info.side_effect = Exception(\"Test error\")\n\n    # Test the endpoint without tenant_id query parameter\n    response = config_client.post(\n        \"/agent/search_info\",\n        json={\"agent_id\": 123},  # version_no defaults to 0\n        headers=mock_auth_header\n    )\n\n    # Assertions\n    assert response.status_code == 500\n    mock_get_user_id.assert_called_once_with(mock_auth_header[\"Authorization\"])\n    mock_get_agent_info.assert_called_once_with(123, \"auth_tenant_id\", 0)\n    assert \"Agent search info error\" in response.json()[\"detail\"]\n\n\ndef test_search_agent_info_api_exception_with_explicit_tenant_id(mocker, mock_auth_header):\n    \"\"\"Test search_agent_info_api exception handling with explicit tenant_id query parameter and default version_no=0.\"\"\"\n    # Setup mocks using pytest-mock\n    mock_get_user_id = mocker.patch(\"apps.agent_app.get_current_user_id\")\n    mock_get_agent_info = mocker.patch(\n        \"apps.agent_app.get_agent_info_impl\", new_callable=mocker.AsyncMock)\n    # Mock return values and exception\n    mock_get_user_id.return_value = (\"user_id\", \"auth_tenant_id\")\n    mock_get_agent_info.side_effect = Exception(\"Test error with explicit tenant\")\n\n    # Test the endpoint with explicit tenant_id query parameter\n    explicit_tenant_id = \"explicit_tenant_999\"\n    response = config_client.post(\n        \"/agent/search_info\",\n        json={\"agent_id\": 789},  # version_no defaults to 0\n        params={\"tenant_id\": explicit_tenant_id},\n        headers=mock_auth_header\n    )\n\n    # Assertions\n    assert response.status_code == 500\n    mock_get_user_id.assert_called_once_with(mock_auth_header[\"Authorization\"])\n    # Should use explicit tenant_id even when exception occurs, and default version_no=0\n    mock_get_agent_info.assert_called_once_with(789, explicit_tenant_id, 0)\n    assert \"Agent search info error\" in response.json()[\"detail\"]\n\n\ndef test_search_agent_info_api_with_version_no(mocker, mock_auth_header):\n    \"\"\"Test search_agent_info_api success case with explicit version_no parameter.\"\"\"\n    # Setup mocks using pytest-mock\n    mock_get_user_id = mocker.patch(\"apps.agent_app.get_current_user_id\")\n    mock_get_agent_info = mocker.patch(\n        \"apps.agent_app.get_agent_info_impl\", new_callable=mocker.AsyncMock)\n    mock_get_user_id.return_value = (\"user_id\", \"auth_tenant_id\")\n    mock_get_agent_info.return_value = {\"agent_id\": 123, \"name\": \"Test Agent\", \"version_no\": 2}\n\n    # Test the endpoint with explicit version_no in body\n    response = config_client.post(\n        \"/agent/search_info\",\n        json={\"agent_id\": 123, \"version_no\": 2},\n        headers=mock_auth_header\n    )\n\n    # Assertions\n    assert response.status_code == 200\n    mock_get_user_id.assert_called_once_with(mock_auth_header[\"Authorization\"])\n    # Should use explicit version_no when provided\n    mock_get_agent_info.assert_called_once_with(123, \"auth_tenant_id\", 2)\n    assert response.json()[\"agent_id\"] == 123\n    assert response.json()[\"version_no\"] == 2\n\n\ndef test_search_agent_info_api_with_version_no_and_tenant_id(mocker, mock_auth_header):\n    \"\"\"Test search_agent_info_api success case with both explicit version_no and tenant_id.\"\"\"\n    # Setup mocks using pytest-mock\n    mock_get_user_id = mocker.patch(\"apps.agent_app.get_current_user_id\")\n    mock_get_agent_info = mocker.patch(\n        \"apps.agent_app.get_agent_info_impl\", new_callable=mocker.AsyncMock)\n    mock_get_user_id.return_value = (\"user_id\", \"auth_tenant_id\")\n    mock_get_agent_info.return_value = {\n        \"agent_id\": 456,\n        \"name\": \"Test Agent\",\n        \"version_no\": 3,\n        \"display_name\": \"Display Name\"\n    }\n\n    # Test the endpoint with both explicit version_no and tenant_id\n    explicit_tenant_id = \"explicit_tenant_123\"\n    response = config_client.post(\n        \"/agent/search_info\",\n        json={\"agent_id\": 456, \"version_no\": 3},\n        params={\"tenant_id\": explicit_tenant_id},\n        headers=mock_auth_header\n    )\n\n    # Assertions\n    assert response.status_code == 200\n    mock_get_user_id.assert_called_once_with(mock_auth_header[\"Authorization\"])\n    # Should use both explicit tenant_id and version_no\n    mock_get_agent_info.assert_called_once_with(456, explicit_tenant_id, 3)\n    assert response.json()[\"agent_id\"] == 456\n    assert response.json()[\"version_no\"] == 3\n\n\ndef test_search_agent_info_api_exception_with_version_no(mocker, mock_auth_header):\n    \"\"\"Test search_agent_info_api exception handling with explicit version_no.\"\"\"\n    # Setup mocks using pytest-mock\n    mock_get_user_id = mocker.patch(\"apps.agent_app.get_current_user_id\")\n    mock_get_agent_info = mocker.patch(\n        \"apps.agent_app.get_agent_info_impl\", new_callable=mocker.AsyncMock)\n    mock_get_user_id.return_value = (\"user_id\", \"auth_tenant_id\")\n    mock_get_agent_info.side_effect = Exception(\"Test error with version_no\")\n\n    # Test the endpoint with explicit version_no\n    response = config_client.post(\n        \"/agent/search_info\",\n        json={\"agent_id\": 123, \"version_no\": 5},\n        headers=mock_auth_header\n    )\n\n    # Assertions\n    assert response.status_code == 500\n    mock_get_user_id.assert_called_once_with(mock_auth_header[\"Authorization\"])\n    mock_get_agent_info.assert_called_once_with(123, \"auth_tenant_id\", 5)\n    assert \"Agent search info error\" in response.json()[\"detail\"]\n\n\ndef test_get_creating_sub_agent_info_api_success(mocker, mock_auth_header):\n    # Setup mocks using pytest-mock\n    mock_get_creating_agent = mocker.patch(\n        \"apps.agent_app.get_creating_sub_agent_info_impl\", new_callable=mocker.AsyncMock)\n    mock_get_creating_agent.return_value = {\"agent_id\": 456}\n\n    # Test the endpoint - this is a GET request\n    response = config_client.get(\n        \"/agent/get_creating_sub_agent_id\",\n        headers=mock_auth_header\n    )\n\n    # Assertions\n    assert response.status_code == 200\n    mock_get_creating_agent.assert_called_once_with(\n        mock_auth_header[\"Authorization\"])\n    assert response.json()[\"agent_id\"] == 456\n\n\ndef test_get_creating_sub_agent_info_api_exception(mocker, mock_auth_header):\n    # Setup mocks using pytest-mock\n    mock_get_creating_agent = mocker.patch(\n        \"apps.agent_app.get_creating_sub_agent_info_impl\", new_callable=mocker.AsyncMock)\n    mock_get_creating_agent.side_effect = Exception(\"Test error\")\n\n    # Test the endpoint - this is a GET request\n    response = config_client.get(\n        \"/agent/get_creating_sub_agent_id\",\n        headers=mock_auth_header\n    )\n\n    # Assertions\n    assert response.status_code == 500\n    assert \"Agent create error\" in response.json()[\"detail\"]\n\n\ndef test_update_agent_info_api_success(mocker, mock_auth_header):\n    # Setup mocks using pytest-mock\n    mock_update_agent = mocker.patch(\n        \"apps.agent_app.update_agent_info_impl\", new_callable=mocker.AsyncMock)\n    mock_update_agent.return_value = None\n\n    # Test the endpoint\n    response = config_client.post(\n        \"/agent/update\",\n        json={\"agent_id\": 123, \"name\": \"Updated Agent\",\n              \"display_name\": \"Updated Display Name\"},\n        headers=mock_auth_header\n    )\n\n    # Assertions\n    assert response.status_code == 200\n    mock_update_agent.assert_called_once()\n    assert response.json() == {}\n\n\ndef test_update_agent_info_api_exception(mocker, mock_auth_header):\n    # Setup mocks using pytest-mock\n    mock_update_agent = mocker.patch(\n        \"apps.agent_app.update_agent_info_impl\", new_callable=mocker.AsyncMock)\n    mock_update_agent.side_effect = Exception(\"Test error\")\n\n    # Test the endpoint\n    response = config_client.post(\n        \"/agent/update\",\n        json={\"agent_id\": 123, \"name\": \"Updated Agent\",\n              \"display_name\": \"Updated Display Name\"},\n        headers=mock_auth_header\n    )\n\n    # Assertions\n    assert response.status_code == 500\n    assert \"Agent update error\" in response.json()[\"detail\"]\n\n\ndef test_delete_agent_api_success(mocker, mock_auth_header):\n    \"\"\"Test delete_agent_api success case without tenant_id query parameter (uses auth tenant_id).\"\"\"\n    # Setup mocks using pytest-mock\n    mock_get_user_info = mocker.patch(\"apps.agent_app.get_current_user_info\")\n    mock_delete_agent = mocker.patch(\n        \"apps.agent_app.delete_agent_impl\", new_callable=mocker.AsyncMock)\n    # Mock return values\n    mock_get_user_info.return_value = (\"test_user\", \"test_tenant\", \"en\")\n    mock_delete_agent.return_value = None\n\n    # Test the endpoint without tenant_id query parameter\n    response = config_client.request(\n        \"DELETE\",\n        \"/agent\",\n        json={\"agent_id\": 123},\n        headers=mock_auth_header\n    )\n\n    # Assertions\n    assert response.status_code == 200\n    mock_get_user_info.assert_called_once_with(mock_auth_header[\"Authorization\"], ANY)\n    # Should use auth tenant_id when query parameter is not provided\n    mock_delete_agent.assert_called_once_with(123, \"test_tenant\", \"test_user\")\n    assert response.json() == {}\n\n\ndef test_delete_agent_api_with_explicit_tenant_id(mocker, mock_auth_header):\n    \"\"\"Test delete_agent_api success case with explicit tenant_id query parameter.\"\"\"\n    # Setup mocks using pytest-mock\n    mock_get_user_info = mocker.patch(\"apps.agent_app.get_current_user_info\")\n    mock_delete_agent = mocker.patch(\n        \"apps.agent_app.delete_agent_impl\", new_callable=mocker.AsyncMock)\n    # Mock return values - auth tenant_id is different from explicit tenant_id\n    mock_get_user_info.return_value = (\"test_user\", \"auth_tenant\", \"en\")\n    mock_delete_agent.return_value = None\n\n    # Test the endpoint with explicit tenant_id query parameter\n    explicit_tenant_id = \"explicit_tenant_123\"\n    response = config_client.request(\n        \"DELETE\",\n        \"/agent\",\n        json={\"agent_id\": 456},\n        params={\"tenant_id\": explicit_tenant_id},\n        headers=mock_auth_header\n    )\n\n    # Assertions\n    assert response.status_code == 200\n    mock_get_user_info.assert_called_once_with(mock_auth_header[\"Authorization\"], ANY)\n    # Should use explicit tenant_id when provided, not auth tenant_id\n    mock_delete_agent.assert_called_once_with(456, explicit_tenant_id, \"test_user\")\n    assert response.json() == {}\n\n\ndef test_delete_agent_api_exception(mocker, mock_auth_header):\n    \"\"\"Test delete_agent_api exception handling without tenant_id query parameter.\"\"\"\n    # Setup mocks using pytest-mock\n    mock_get_user_info = mocker.patch(\"apps.agent_app.get_current_user_info\")\n    mock_delete_agent = mocker.patch(\n        \"apps.agent_app.delete_agent_impl\", new_callable=mocker.AsyncMock)\n    mock_logger = mocker.patch(\"apps.agent_app.logger\")\n    # Mock return values and exception\n    mock_get_user_info.return_value = (\"test_user\", \"test_tenant\", \"en\")\n    mock_delete_agent.side_effect = Exception(\"Test error\")\n\n    # Test the endpoint without tenant_id query parameter\n    response = config_client.request(\n        \"DELETE\",\n        \"/agent\",\n        json={\"agent_id\": 123},\n        headers=mock_auth_header\n    )\n\n    # Assertions\n    assert response.status_code == 500\n    mock_get_user_info.assert_called_once_with(mock_auth_header[\"Authorization\"], ANY)\n    mock_delete_agent.assert_called_once_with(123, \"test_tenant\", \"test_user\")\n    assert \"Agent delete error\" in response.json()[\"detail\"]\n    # Verify error was logged\n    mock_logger.error.assert_called_once_with(\"Agent delete error: Test error\")\n\n\ndef test_delete_agent_api_exception_with_explicit_tenant_id(mocker, mock_auth_header):\n    \"\"\"Test delete_agent_api exception handling with explicit tenant_id query parameter.\"\"\"\n    # Setup mocks using pytest-mock\n    mock_get_user_info = mocker.patch(\"apps.agent_app.get_current_user_info\")\n    mock_delete_agent = mocker.patch(\n        \"apps.agent_app.delete_agent_impl\", new_callable=mocker.AsyncMock)\n    mock_logger = mocker.patch(\"apps.agent_app.logger\")\n    # Mock return values and exception\n    mock_get_user_info.return_value = (\"test_user\", \"auth_tenant\", \"en\")\n    mock_delete_agent.side_effect = Exception(\"Test error with explicit tenant\")\n\n    # Test the endpoint with explicit tenant_id query parameter\n    explicit_tenant_id = \"explicit_tenant_456\"\n    response = config_client.request(\n        \"DELETE\",\n        \"/agent\",\n        json={\"agent_id\": 789},\n        params={\"tenant_id\": explicit_tenant_id},\n        headers=mock_auth_header\n    )\n\n    # Assertions\n    assert response.status_code == 500\n    mock_get_user_info.assert_called_once_with(mock_auth_header[\"Authorization\"], ANY)\n    # Should use explicit tenant_id even when exception occurs\n    mock_delete_agent.assert_called_once_with(789, explicit_tenant_id, \"test_user\")\n    assert \"Agent delete error\" in response.json()[\"detail\"]\n    # Verify error was logged\n    mock_logger.error.assert_called_once_with(\"Agent delete error: Test error with explicit tenant\")\n\n\n@pytest.mark.asyncio\nasync def test_export_agent_api_success(mocker, mock_auth_header):\n    # Setup mocks using pytest-mock\n    mock_export_agent = mocker.patch(\n        \"apps.agent_app.export_agent_impl\", new_callable=mocker.AsyncMock)\n    mock_export_agent.return_value = '{\"agent_id\": 123, \"name\": \"Test Agent\"}'\n\n    # Test the endpoint\n    response = config_client.post(\n        \"/agent/export\",\n        json={\"agent_id\": 123},\n        headers=mock_auth_header\n    )\n\n    # Assertions\n    assert response.status_code == 200\n    mock_export_agent.assert_called_once_with(\n        123, mock_auth_header[\"Authorization\"])\n    assert response.json()[\"code\"] == 0\n    assert response.json()[\"message\"] == \"success\"\n\n\n@pytest.mark.asyncio\nasync def test_export_agent_api_exception(mocker, mock_auth_header):\n    # Setup mocks using pytest-mock\n    mock_export_agent = mocker.patch(\n        \"apps.agent_app.export_agent_impl\", new_callable=mocker.AsyncMock)\n    mock_export_agent.side_effect = Exception(\"Test error\")\n\n    # Test the endpoint\n    response = config_client.post(\n        \"/agent/export\",\n        json={\"agent_id\": 123},\n        headers=mock_auth_header\n    )\n\n    # Assertions\n    assert response.status_code == 500\n    assert \"Agent export error\" in response.json()[\"detail\"]\n\n\ndef test_import_agent_api_success(mocker, mock_auth_header):\n    # Setup mocks using pytest-mock\n    mock_import_agent = mocker.patch(\n        \"apps.agent_app.import_agent_impl\", new_callable=mocker.AsyncMock)\n    mock_import_agent.return_value = None\n\n    # Test the endpoint - following the ExportAndImportDataFormat structure\n    response = config_client.post(\n        \"/agent/import\",\n        json={\n            \"agent_info\": {\n                \"agent_id\": 123,\n                \"agent_info\": {\n                    \"test_agent\": {\n                        \"agent_id\": 123,\n                        \"name\": \"Imported Agent\",\n                        \"description\": \"Test description\",\n                        \"business_description\": \"Test business\",\n                        \"model_name\": \"gpt-4\",\n                        \"max_steps\": 10,\n                        \"provide_run_summary\": True,\n                        \"duty_prompt\": \"Test duty prompt\",\n                        \"constraint_prompt\": \"Test constraint prompt\",\n                        \"few_shots_prompt\": \"Test few shots prompt\",\n                        \"enabled\": True,\n                        \"tools\": [],\n                        \"managed_agents\": []\n                    }\n                },\n                \"mcp_info\": []\n            }\n        },\n        headers=mock_auth_header\n    )\n\n    # Assertions\n    assert response.status_code == 200\n    mock_import_agent.assert_called_once()\n    args, kwargs = mock_import_agent.call_args\n    # The function signature is import_agent_impl(request.agent_info, authorization)\n    assert args[1] == mock_auth_header[\"Authorization\"]\n    assert response.json() == {}\n\n\ndef test_import_agent_api_exception(mocker, mock_auth_header):\n    # Setup mocks using pytest-mock\n    mock_import_agent = mocker.patch(\n        \"apps.agent_app.import_agent_impl\", new_callable=mocker.AsyncMock)\n    mock_import_agent.side_effect = Exception(\"Test error\")\n\n    # Test the endpoint - following the ExportAndImportDataFormat structure\n    response = config_client.post(\n        \"/agent/import\",\n        json={\n            \"agent_info\": {\n                \"agent_id\": 123,\n                \"agent_info\": {\n                    \"test_agent\": {\n                        \"agent_id\": 123,\n                        \"name\": \"Imported Agent\",\n                        \"description\": \"Test description\",\n                        \"business_description\": \"Test business\",\n                        \"model_name\": \"gpt-4\",\n                        \"max_steps\": 10,\n                        \"provide_run_summary\": True,\n                        \"duty_prompt\": \"Test duty prompt\",\n                        \"constraint_prompt\": \"Test constraint prompt\",\n                        \"few_shots_prompt\": \"Test few shots prompt\",\n                        \"enabled\": True,\n                        \"tools\": [],\n                        \"managed_agents\": []\n                    }\n                },\n                \"mcp_info\": []\n            }\n        },\n        headers=mock_auth_header\n    )\n\n    # Assertions\n    assert response.status_code == 500\n    assert \"Agent import error\" in response.json()[\"detail\"]\n\n\ndef test_list_all_agent_info_api_success(mocker, mock_auth_header):\n    \"\"\"Test list_all_agent_info_api success case without tenant_id query parameter (uses auth tenant_id).\"\"\"\n    # Setup mocks using pytest-mock\n    mock_get_user_info = mocker.patch(\"apps.agent_app.get_current_user_info\")\n    mock_list_all_agent = mocker.patch(\n        \"apps.agent_app.list_all_agent_info_impl\", new_callable=mocker.AsyncMock)\n    # Mock return values\n    mock_get_user_info.return_value = (\"test_user\", \"test_tenant\", \"en\")\n    mock_list_all_agent.return_value = [\n        {\n            \"agent_id\": 1,\n            \"name\": \"Agent 1\",\n            \"display_name\": \"Display Agent 1\",\n            \"description\": \"Test agent 1\",\n            \"group_ids\": [],\n            \"permission\": \"EDIT\",\n            \"is_available\": True,\n            \"unavailable_reasons\": []\n        },\n        {\n            \"agent_id\": 2,\n            \"name\": \"Agent 2\",\n            \"display_name\": \"Display Agent 2\",\n            \"description\": \"Test agent 2\",\n            \"group_ids\": [1, 2, 3],\n            \"permission\": \"READ_ONLY\",\n            \"is_available\": True,\n            \"unavailable_reasons\": []\n        }\n    ]\n\n    # Test the endpoint without tenant_id query parameter\n    response = config_client.get(\n        \"/agent/list\",\n        headers=mock_auth_header\n    )\n\n    # Assertions\n    assert response.status_code == 200\n    mock_get_user_info.assert_called_once_with(mock_auth_header[\"Authorization\"], ANY)\n    # Should use auth tenant_id when query parameter is not provided\n    mock_list_all_agent.assert_called_once_with(tenant_id=\"test_tenant\", user_id=\"test_user\")\n    assert len(response.json()) == 2\n    assert response.json()[0][\"agent_id\"] == 1\n    assert response.json()[0][\"display_name\"] == \"Display Agent 1\"\n    assert response.json()[0][\"group_ids\"] == []\n    assert response.json()[0][\"permission\"] == \"EDIT\"\n    assert response.json()[1][\"name\"] == \"Agent 2\"\n    assert response.json()[1][\"display_name\"] == \"Display Agent 2\"\n    assert response.json()[1][\"group_ids\"] == [1, 2, 3]\n    assert response.json()[1][\"permission\"] == \"READ_ONLY\"\n\n\ndef test_list_all_agent_info_api_with_explicit_tenant_id(mocker, mock_auth_header):\n    \"\"\"Test list_all_agent_info_api success case with explicit tenant_id query parameter.\"\"\"\n    # Setup mocks using pytest-mock\n    mock_get_user_info = mocker.patch(\"apps.agent_app.get_current_user_info\")\n    mock_list_all_agent = mocker.patch(\n        \"apps.agent_app.list_all_agent_info_impl\", new_callable=mocker.AsyncMock)\n    # Mock return values - auth tenant_id is different from explicit tenant_id\n    mock_get_user_info.return_value = (\"test_user\", \"auth_tenant\", \"en\")\n    mock_list_all_agent.return_value = [\n        {\n            \"agent_id\": 3,\n            \"name\": \"Agent 3\",\n            \"display_name\": \"Display Agent 3\",\n            \"description\": \"Test agent 3\",\n            \"group_ids\": [4, 5],\n            \"permission\": \"EDIT\",\n            \"is_available\": True,\n            \"unavailable_reasons\": []\n        }\n    ]\n\n    # Test the endpoint with explicit tenant_id query parameter\n    explicit_tenant_id = \"explicit_tenant_123\"\n    response = config_client.get(\n        \"/agent/list\",\n        params={\"tenant_id\": explicit_tenant_id},\n        headers=mock_auth_header\n    )\n\n    # Assertions\n    assert response.status_code == 200\n    mock_get_user_info.assert_called_once_with(mock_auth_header[\"Authorization\"], ANY)\n    # Should use explicit tenant_id when provided, not auth tenant_id\n    mock_list_all_agent.assert_called_once_with(tenant_id=explicit_tenant_id, user_id=\"test_user\")\n    assert len(response.json()) == 1\n    assert response.json()[0][\"agent_id\"] == 3\n    assert response.json()[0][\"display_name\"] == \"Display Agent 3\"\n    assert response.json()[0][\"group_ids\"] == [4, 5]\n\n\ndef test_list_all_agent_info_api_exception(mocker, mock_auth_header):\n    \"\"\"Test list_all_agent_info_api exception handling without tenant_id query parameter.\"\"\"\n    # Setup mocks using pytest-mock\n    mock_get_user_info = mocker.patch(\"apps.agent_app.get_current_user_info\")\n    mock_list_all_agent = mocker.patch(\n        \"apps.agent_app.list_all_agent_info_impl\", new_callable=mocker.AsyncMock)\n    # Mock return values and exception\n    mock_get_user_info.return_value = (\"test_user\", \"test_tenant\", \"en\")\n    mock_list_all_agent.side_effect = Exception(\"Test error\")\n\n    # Test the endpoint without tenant_id query parameter\n    response = config_client.get(\n        \"/agent/list\",\n        headers=mock_auth_header\n    )\n\n    # Assertions\n    assert response.status_code == 500\n    mock_get_user_info.assert_called_once_with(mock_auth_header[\"Authorization\"], ANY)\n    mock_list_all_agent.assert_called_once_with(tenant_id=\"test_tenant\", user_id=\"test_user\")\n    assert \"Agent list error\" in response.json()[\"detail\"]\n\n\ndef test_list_all_agent_info_api_exception_with_explicit_tenant_id(mocker, mock_auth_header):\n    \"\"\"Test list_all_agent_info_api exception handling with explicit tenant_id query parameter.\"\"\"\n    # Setup mocks using pytest-mock\n    mock_get_user_info = mocker.patch(\"apps.agent_app.get_current_user_info\")\n    mock_list_all_agent = mocker.patch(\n        \"apps.agent_app.list_all_agent_info_impl\", new_callable=mocker.AsyncMock)\n    # Mock return values and exception\n    mock_get_user_info.return_value = (\"test_user\", \"auth_tenant\", \"en\")\n    mock_list_all_agent.side_effect = Exception(\"Test error with explicit tenant\")\n\n    # Test the endpoint with explicit tenant_id query parameter\n    explicit_tenant_id = \"explicit_tenant_456\"\n    response = config_client.get(\n        \"/agent/list\",\n        params={\"tenant_id\": explicit_tenant_id},\n        headers=mock_auth_header\n    )\n\n    # Assertions\n    assert response.status_code == 500\n    mock_get_user_info.assert_called_once_with(mock_auth_header[\"Authorization\"], ANY)\n    # Should use explicit tenant_id even when exception occurs\n    mock_list_all_agent.assert_called_once_with(tenant_id=explicit_tenant_id, user_id=\"test_user\")\n    assert \"Agent list error\" in response.json()[\"detail\"]\n\n\n@pytest.mark.asyncio\nasync def test_export_agent_api_detailed(mocker, mock_auth_header):\n    \"\"\"Detailed testing of export_agent_api function, including ConversationResponse construction\"\"\"\n    # Setup mocks using pytest-mock\n    mock_export_agent = mocker.patch(\n        \"apps.agent_app.export_agent_impl\", new_callable=mocker.AsyncMock)\n\n    # Setup mocks - return complex JSON data\n    agent_data = {\n        \"agent_id\": 456,\n        \"name\": \"Complex Agent\",\n        \"description\": \"Detailed testing\",\n        \"tools\": [{\"id\": 1, \"name\": \"tool1\"}, {\"id\": 2, \"name\": \"tool2\"}],\n        \"managed_agents\": [789, 101],\n        \"other_fields\": \"some values\"\n    }\n    mock_export_agent.return_value = agent_data\n\n    # Test with complex data\n    response = config_client.post(\n        \"/agent/export\",\n        json={\"agent_id\": 456},\n        headers=mock_auth_header\n    )\n\n    # Assertions\n    assert response.status_code == 200\n    mock_export_agent.assert_called_once_with(\n        456, mock_auth_header[\"Authorization\"])\n\n    # Verify correct construction of ConversationResponse\n    response_data = response.json()\n    assert response_data[\"code\"] == 0\n    assert response_data[\"message\"] == \"success\"\n    assert response_data[\"data\"] == agent_data\n\n\n@pytest.mark.asyncio\nasync def test_export_agent_api_empty_response(mocker, mock_auth_header):\n    \"\"\"Test export_agent_api handling empty response\"\"\"\n    # Setup mocks using pytest-mock\n    mock_export_agent = mocker.patch(\n        \"apps.agent_app.export_agent_impl\", new_callable=mocker.AsyncMock)\n\n    # Setup mock to return empty data\n    mock_export_agent.return_value = {}\n\n    # Send request\n    response = config_client.post(\n        \"/agent/export\",\n        json={\"agent_id\": 789},\n        headers=mock_auth_header\n    )\n\n    # Verify\n    assert response.status_code == 200\n    mock_export_agent.assert_called_once_with(\n        789, mock_auth_header[\"Authorization\"])\n\n    # Verify empty data can also be correctly wrapped in ConversationResponse\n    response_data = response.json()\n    assert response_data[\"code\"] == 0\n    assert response_data[\"message\"] == \"success\"\n    assert response_data[\"data\"] == {}\n\n\ndef _alias_services_for_tests():\n    \"\"\"\n    Provide fallback aliases for dynamic `services.agent_service` imports used by the routers.\n    Map `backend.services.*` modules to `services.*` so mocker.patch can locate them.\n    \"\"\"\n    import sys\n    try:\n        import backend.services as b_services\n        import backend.services.agent_service as b_agent_service\n        # Map both the package and submodule for compatibility\n        sys.modules['services'] = b_services\n        sys.modules['services.agent_service'] = b_agent_service\n    except Exception:\n        # If the project already supports direct imports, ignore the failure\n        pass\n\n\ndef test_get_agent_call_relationship_api_success(mocker, mock_auth_header):\n    # Patch authentication helper\n    mock_get_user_id = mocker.patch(\"apps.agent_app.get_current_user_id\")\n    mock_get_user_id.return_value = (\"user_id_x\", \"tenant_abc\")\n\n    # Patch the implementation referenced from the apps.agent_app namespace\n    mock_impl = mocker.patch(\"apps.agent_app.get_agent_call_relationship_impl\")\n    mock_impl.return_value = {\n        \"agent_id\": 1,\n        \"tree\": {\"tools\": [], \"sub_agents\": []}\n    }\n\n    resp = config_client.get(\"/agent/call_relationship/1\", headers=mock_auth_header)\n\n    assert resp.status_code == 200\n    mock_get_user_id.assert_called_once_with(mock_auth_header[\"Authorization\"])\n    mock_impl.assert_called_once_with(1, \"tenant_abc\")\n    data = resp.json()\n    assert data[\"agent_id\"] == 1\n    assert \"tree\" in data and \"tools\" in data[\"tree\"] and \"sub_agents\" in data[\"tree\"]\n\n\ndef test_get_agent_call_relationship_api_exception(mocker, mock_auth_header):\n    mock_get_user_id = mocker.patch(\"apps.agent_app.get_current_user_id\")\n    mock_get_user_id.return_value = (\"user_id_x\", \"tenant_abc\")\n\n    # Patch the same implementation for the error path\n    mock_impl = mocker.patch(\"apps.agent_app.get_agent_call_relationship_impl\")\n    mock_impl.side_effect = Exception(\"boom\")\n\n    resp = config_client.get(\"/agent/call_relationship/999\", headers=mock_auth_header)\n\n    assert resp.status_code == 500\n    assert \"Failed to get agent call relationship\" in resp.json()[\"detail\"]\n\n\ndef test_check_agent_name_batch_api_success(mocker, mock_auth_header):\n    mock_impl = mocker.patch(\n        \"apps.agent_app.check_agent_name_conflict_batch_impl\",\n        new_callable=mocker.AsyncMock,\n    )\n    mock_impl.return_value = [{\"name_conflict\": True}]\n\n    payload = {\n        \"items\": [\n            {\"agent_id\": 1, \"name\": \"AgentA\", \"display_name\": \"Agent A\"},\n        ]\n    }\n\n    resp = config_client.post(\n        \"/agent/check_name\", json=payload, headers=mock_auth_header\n    )\n\n    assert resp.status_code == 200\n    mock_impl.assert_called_once()\n    assert resp.json() == [{\"name_conflict\": True}]\n\n\ndef test_check_agent_name_batch_api_bad_request(mocker, mock_auth_header):\n    mock_impl = mocker.patch(\n        \"apps.agent_app.check_agent_name_conflict_batch_impl\",\n        new_callable=mocker.AsyncMock,\n    )\n    mock_impl.side_effect = ValueError(\"bad payload\")\n\n    resp = config_client.post(\n        \"/agent/check_name\",\n        json={\"items\": [{\"agent_id\": 1, \"name\": \"AgentA\"}]},\n        headers=mock_auth_header,\n    )\n\n    assert resp.status_code == 400\n    assert resp.json()[\"detail\"] == \"bad payload\"\n\n\ndef test_check_agent_name_batch_api_error(mocker, mock_auth_header):\n    mock_impl = mocker.patch(\n        \"apps.agent_app.check_agent_name_conflict_batch_impl\",\n        new_callable=mocker.AsyncMock,\n    )\n    mock_impl.side_effect = Exception(\"unexpected\")\n\n    resp = config_client.post(\n        \"/agent/check_name\",\n        json={\"items\": [{\"agent_id\": 1, \"name\": \"AgentA\"}]},\n        headers=mock_auth_header,\n    )\n\n    assert resp.status_code == 500\n    assert \"Agent name batch check error\" in resp.json()[\"detail\"]\n\n\ndef test_regenerate_agent_name_batch_api_success(mocker, mock_auth_header):\n    mock_impl = mocker.patch(\n        \"apps.agent_app.regenerate_agent_name_batch_impl\",\n        new_callable=mocker.AsyncMock,\n    )\n    mock_impl.return_value = [{\"name\": \"NewName\", \"display_name\": \"New Display\"}]\n\n    payload = {\n        \"items\": [\n            {\n                \"agent_id\": 1,\n                \"name\": \"AgentA\",\n                \"display_name\": \"Agent A\",\n                \"task_description\": \"desc\",\n            }\n        ]\n    }\n\n    resp = config_client.post(\n        \"/agent/regenerate_name\", json=payload, headers=mock_auth_header\n    )\n\n    assert resp.status_code == 200\n    mock_impl.assert_called_once()\n    assert resp.json() == [{\"name\": \"NewName\", \"display_name\": \"New Display\"}]\n\n\ndef test_regenerate_agent_name_batch_api_bad_request(mocker, mock_auth_header):\n    mock_impl = mocker.patch(\n        \"apps.agent_app.regenerate_agent_name_batch_impl\",\n        new_callable=mocker.AsyncMock,\n    )\n    mock_impl.side_effect = ValueError(\"invalid\")\n\n    resp = config_client.post(\n        \"/agent/regenerate_name\",\n        json={\"items\": [{\"agent_id\": 1, \"name\": \"AgentA\"}]},\n        headers=mock_auth_header,\n    )\n\n    assert resp.status_code == 400\n    assert resp.json()[\"detail\"] == \"invalid\"\n\n\ndef test_regenerate_agent_name_batch_api_error(mocker, mock_auth_header):\n    mock_impl = mocker.patch(\n        \"apps.agent_app.regenerate_agent_name_batch_impl\",\n        new_callable=mocker.AsyncMock,\n    )\n    mock_impl.side_effect = Exception(\"boom\")\n\n    resp = config_client.post(\n        \"/agent/regenerate_name\",\n        json={\"items\": [{\"agent_id\": 1, \"name\": \"AgentA\"}]},\n        headers=mock_auth_header,\n    )\n\n    assert resp.status_code == 500\n    assert \"Agent name batch regenerate error\" in resp.json()[\"detail\"]\n\n\ndef test_clear_agent_new_mark_api_success(mocker, mock_auth_header):\n    \"\"\"\n    Test successful clearing of agent NEW mark via API endpoint.\n\n    This test verifies that:\n    1. The API correctly parses authorization header\n    2. Calls get_current_user_info to extract user and tenant info\n    3. Calls clear_agent_new_mark_impl with correct parameters\n    4. Returns success response with affected_rows\n    \"\"\"\n    # Setup mocks using pytest-mock\n    mock_get_user_info = mocker.patch(\"apps.agent_app.get_current_user_info\")\n    mock_clear_agent_new_mark = mocker.patch(\n        \"apps.agent_app.clear_agent_new_mark_impl\", new_callable=mocker.AsyncMock)\n\n    # Mock the auth utility to return user info\n    mock_get_user_info.return_value = (\"test_user_id\", \"test_tenant_id\", \"extra_info\")\n\n    # Mock the service layer to return affected rows\n    mock_clear_agent_new_mark.return_value = 1\n\n    # Test the endpoint\n    response = config_client.put(\n        \"/agent/clear_new/123\",  # agent_id = 123\n        headers=mock_auth_header\n    )\n\n    # Assertions\n    assert response.status_code == 200\n    response_data = response.json()\n    assert response_data[\"message\"] == \"Agent NEW mark cleared successfully\"\n    assert response_data[\"affected_rows\"] == 1\n\n    # Verify mocks were called correctly\n    mock_get_user_info.assert_called_once_with(mock_auth_header[\"Authorization\"])\n    mock_clear_agent_new_mark.assert_called_once_with(123, \"test_tenant_id\", \"test_user_id\")\n\n\ndef test_clear_agent_new_mark_api_exception(mocker, mock_auth_header):\n    \"\"\"\n    Test clear_agent_new_mark_api when service layer throws exception.\n\n    This test verifies that:\n    1. When clear_agent_new_mark_impl raises an exception\n    2. The API catches it and logs the error\n    3. Returns HTTP 500 with appropriate error message\n    \"\"\"\n    # Setup mocks using pytest-mock\n    mock_get_user_info = mocker.patch(\"apps.agent_app.get_current_user_info\")\n    mock_clear_agent_new_mark = mocker.patch(\n        \"apps.agent_app.clear_agent_new_mark_impl\", new_callable=mocker.AsyncMock)\n    mock_logger = mocker.patch(\"apps.agent_app.logger\")\n\n    # Mock the auth utility to return user info\n    mock_get_user_info.return_value = (\"test_user_id\", \"test_tenant_id\", \"extra_info\")\n\n    # Mock the service layer to raise an exception\n    test_exception = Exception(\"Database connection failed\")\n    mock_clear_agent_new_mark.side_effect = test_exception\n\n    # Test the endpoint\n    response = config_client.put(\n        \"/agent/clear_new/456\",  # agent_id = 456\n        headers=mock_auth_header\n    )\n\n    # Assertions\n    assert response.status_code == 500\n    assert response.json()[\"detail\"] == \"Failed to clear agent NEW mark.\"\n\n    # Verify error was logged\n    mock_logger.error.assert_called_once_with(\"Failed to clear agent NEW mark: Database connection failed\")\n\n    # Verify service was still called with correct parameters\n    mock_get_user_info.assert_called_once_with(mock_auth_header[\"Authorization\"])\n    mock_clear_agent_new_mark.assert_called_once_with(456, \"test_tenant_id\", \"test_user_id\")\n\n\n# Agent Version Management API Tests\n# ---------------------------------------------------------------------------\n\n\ndef test_publish_version_api_success(mocker, mock_auth_header):\n    \"\"\"Test successful version publishing\"\"\"\n    mock_get_user_id = mocker.patch(\"apps.agent_app.get_current_user_id\")\n    mock_publish_version = mocker.patch(\"apps.agent_app.publish_version_impl\")\n    \n    mock_get_user_id.return_value = (\"test_user_id\", \"test_tenant_id\")\n    mock_publish_version.return_value = {\n        \"success\": True,\n        \"message\": \"Version published successfully\",\n        \"version_no\": 1\n    }\n    \n    response = config_client.post(\n        \"/agent/123/publish\",\n        json={\n            \"version_name\": \"v1.0.0\",\n            \"release_note\": \"Initial release\"\n        },\n        headers=mock_auth_header\n    )\n    \n    assert response.status_code == 200\n    mock_get_user_id.assert_called_once_with(mock_auth_header[\"Authorization\"])\n    mock_publish_version.assert_called_once_with(\n        agent_id=123,\n        tenant_id=\"test_tenant_id\",\n        user_id=\"test_user_id\",\n        version_name=\"v1.0.0\",\n        release_note=\"Initial release\"\n    )\n    assert response.json()[\"success\"] is True\n    assert response.json()[\"version_no\"] == 1\n\n\ndef test_publish_version_api_bad_request(mocker, mock_auth_header):\n    \"\"\"Test publish version with ValueError\"\"\"\n    mock_get_user_id = mocker.patch(\"apps.agent_app.get_current_user_id\")\n    mock_publish_version = mocker.patch(\"apps.agent_app.publish_version_impl\")\n    \n    mock_get_user_id.return_value = (\"test_user_id\", \"test_tenant_id\")\n    mock_publish_version.side_effect = ValueError(\"Agent not found\")\n    \n    response = config_client.post(\n        \"/agent/123/publish\",\n        json={\n            \"version_name\": \"v1.0.0\",\n            \"release_note\": \"Initial release\"\n        },\n        headers=mock_auth_header\n    )\n    \n    assert response.status_code == 400\n    assert response.json()[\"detail\"] == \"Agent not found\"\n\n\ndef test_publish_version_api_exception(mocker, mock_auth_header):\n    \"\"\"Test publish version with general exception\"\"\"\n    mock_get_user_id = mocker.patch(\"apps.agent_app.get_current_user_id\")\n    mock_publish_version = mocker.patch(\"apps.agent_app.publish_version_impl\")\n    \n    mock_get_user_id.return_value = (\"test_user_id\", \"test_tenant_id\")\n    mock_publish_version.side_effect = Exception(\"Database error\")\n    \n    response = config_client.post(\n        \"/agent/123/publish\",\n        json={\n            \"version_name\": \"v1.0.0\",\n            \"release_note\": \"Initial release\"\n        },\n        headers=mock_auth_header\n    )\n    \n    assert response.status_code == 500\n    assert \"Publish version error\" in response.json()[\"detail\"]\n\n\ndef test_compare_versions_api_success(mocker, mock_auth_header):\n    \"\"\"Test successful version comparison\"\"\"\n    mock_get_user_id = mocker.patch(\"apps.agent_app.get_current_user_id\")\n    mock_compare_versions = mocker.patch(\"apps.agent_app.compare_versions_impl\")\n    \n    mock_get_user_id.return_value = (\"test_user_id\", \"test_tenant_id\")\n    mock_compare_versions.return_value = {\n        \"success\": True,\n        \"message\": \"Versions compared successfully\",\n        \"data\": {\n            \"version_a\": {\"version_no\": 1},\n            \"version_b\": {\"version_no\": 2},\n            \"differences\": []\n        }\n    }\n    \n    response = config_client.post(\n        \"/agent/123/versions/compare\",\n        json={\n            \"version_no_a\": 1,\n            \"version_no_b\": 2\n        },\n        headers=mock_auth_header\n    )\n    \n    assert response.status_code == 200\n    mock_get_user_id.assert_called_once_with(mock_auth_header[\"Authorization\"])\n    mock_compare_versions.assert_called_once_with(\n        agent_id=123,\n        tenant_id=\"test_tenant_id\",\n        version_no_a=1,\n        version_no_b=2\n    )\n    assert response.json()[\"success\"] is True\n\n\ndef test_compare_versions_api_bad_request(mocker, mock_auth_header):\n    \"\"\"Test compare versions with ValueError\"\"\"\n    mock_get_user_id = mocker.patch(\"apps.agent_app.get_current_user_id\")\n    mock_compare_versions = mocker.patch(\"apps.agent_app.compare_versions_impl\")\n    \n    mock_get_user_id.return_value = (\"test_user_id\", \"test_tenant_id\")\n    mock_compare_versions.side_effect = ValueError(\"Version not found\")\n    \n    response = config_client.post(\n        \"/agent/123/versions/compare\",\n        json={\n            \"version_no_a\": 1,\n            \"version_no_b\": 2\n        },\n        headers=mock_auth_header\n    )\n    \n    assert response.status_code == 400\n    assert response.json()[\"detail\"] == \"Version not found\"\n\n\ndef test_compare_versions_api_exception(mocker, mock_auth_header):\n    \"\"\"Test compare versions with general exception\"\"\"\n    mock_get_user_id = mocker.patch(\"apps.agent_app.get_current_user_id\")\n    mock_compare_versions = mocker.patch(\"apps.agent_app.compare_versions_impl\")\n    \n    mock_get_user_id.return_value = (\"test_user_id\", \"test_tenant_id\")\n    mock_compare_versions.side_effect = Exception(\"Database error\")\n    \n    response = config_client.post(\n        \"/agent/123/versions/compare\",\n        json={\n            \"version_no_a\": 1,\n            \"version_no_b\": 2\n        },\n        headers=mock_auth_header\n    )\n    \n    assert response.status_code == 500\n    assert \"Compare versions error\" in response.json()[\"detail\"]\n\n\ndef test_get_version_list_api_success(mocker, mock_auth_header):\n    \"\"\"Test successful version list retrieval without explicit tenant_id (uses auth tenant_id)\"\"\"\n    mock_get_user_info = mocker.patch(\"apps.agent_app.get_current_user_info\")\n    mock_get_version_list = mocker.patch(\"apps.agent_app.get_version_list_impl\")\n    \n    mock_get_user_info.return_value = (\"test_user_id\", \"test_tenant_id\", \"en\")\n    mock_get_version_list.return_value = {\n        \"versions\": [\n            {\"version_no\": 1, \"version_name\": \"v1.0.0\", \"status\": \"RELEASED\"},\n            {\"version_no\": 2, \"version_name\": \"v2.0.0\", \"status\": \"RELEASED\"}\n        ]\n    }\n    \n    response = config_client.get(\n        \"/agent/123/versions\",\n        headers=mock_auth_header\n    )\n    \n    assert response.status_code == 200\n    mock_get_user_info.assert_called_once_with(mock_auth_header[\"Authorization\"], ANY)\n    mock_get_version_list.assert_called_once_with(\n        agent_id=123,\n        tenant_id=\"test_tenant_id\"\n    )\n    assert len(response.json()[\"versions\"]) == 2\n\n\ndef test_get_version_list_api_with_explicit_tenant_id(mocker, mock_auth_header):\n    \"\"\"Test successful version list retrieval with explicit tenant_id query parameter\"\"\"\n    mock_get_user_info = mocker.patch(\"apps.agent_app.get_current_user_info\")\n    mock_get_version_list = mocker.patch(\"apps.agent_app.get_version_list_impl\")\n    \n    mock_get_user_info.return_value = (\"test_user_id\", \"auth_tenant_id\", \"en\")\n    mock_get_version_list.return_value = {\n        \"versions\": [\n            {\"version_no\": 1, \"version_name\": \"v1.0.0\", \"status\": \"RELEASED\"}\n        ]\n    }\n    \n    explicit_tenant_id = \"explicit_tenant_456\"\n    response = config_client.get(\n        \"/agent/123/versions\",\n        params={\"tenant_id\": explicit_tenant_id},\n        headers=mock_auth_header\n    )\n    \n    assert response.status_code == 200\n    mock_get_user_info.assert_called_once_with(mock_auth_header[\"Authorization\"], ANY)\n    # Should use explicit tenant_id when provided, not auth tenant_id\n    mock_get_version_list.assert_called_once_with(\n        agent_id=123,\n        tenant_id=explicit_tenant_id\n    )\n    assert len(response.json()[\"versions\"]) == 1\n\n\ndef test_get_version_list_api_exception(mocker, mock_auth_header):\n    \"\"\"Test get version list with exception without explicit tenant_id\"\"\"\n    mock_get_user_info = mocker.patch(\"apps.agent_app.get_current_user_info\")\n    mock_get_version_list = mocker.patch(\"apps.agent_app.get_version_list_impl\")\n    \n    mock_get_user_info.return_value = (\"test_user_id\", \"test_tenant_id\", \"en\")\n    mock_get_version_list.side_effect = Exception(\"Database error\")\n    \n    response = config_client.get(\n        \"/agent/123/versions\",\n        headers=mock_auth_header\n    )\n    \n    assert response.status_code == 500\n    mock_get_user_info.assert_called_once_with(mock_auth_header[\"Authorization\"], ANY)\n    mock_get_version_list.assert_called_once_with(\n        agent_id=123,\n        tenant_id=\"test_tenant_id\"\n    )\n    assert \"Get version list error\" in response.json()[\"detail\"]\n\n\ndef test_get_version_list_api_exception_with_explicit_tenant_id(mocker, mock_auth_header):\n    \"\"\"Test get version list with exception and explicit tenant_id\"\"\"\n    mock_get_user_info = mocker.patch(\"apps.agent_app.get_current_user_info\")\n    mock_get_version_list = mocker.patch(\"apps.agent_app.get_version_list_impl\")\n    \n    mock_get_user_info.return_value = (\"test_user_id\", \"auth_tenant_id\", \"en\")\n    mock_get_version_list.side_effect = Exception(\"Database error with explicit tenant\")\n    \n    explicit_tenant_id = \"explicit_tenant_789\"\n    response = config_client.get(\n        \"/agent/123/versions\",\n        params={\"tenant_id\": explicit_tenant_id},\n        headers=mock_auth_header\n    )\n    \n    assert response.status_code == 500\n    mock_get_user_info.assert_called_once_with(mock_auth_header[\"Authorization\"], ANY)\n    # Should use explicit tenant_id even when exception occurs\n    mock_get_version_list.assert_called_once_with(\n        agent_id=123,\n        tenant_id=explicit_tenant_id\n    )\n    assert \"Get version list error\" in response.json()[\"detail\"]\n\n\ndef test_get_version_api_success(mocker, mock_auth_header):\n    \"\"\"Test successful version retrieval\"\"\"\n    mock_get_user_id = mocker.patch(\"apps.agent_app.get_current_user_id\")\n    mock_get_version = mocker.patch(\"apps.agent_app.get_version_impl\")\n    \n    mock_get_user_id.return_value = (\"test_user_id\", \"test_tenant_id\")\n    mock_get_version.return_value = {\n        \"version_no\": 1,\n        \"version_name\": \"v1.0.0\",\n        \"status\": \"RELEASED\",\n        \"release_note\": \"Initial release\"\n    }\n    \n    response = config_client.get(\n        \"/agent/123/versions/1\",\n        headers=mock_auth_header\n    )\n    \n    assert response.status_code == 200\n    mock_get_user_id.assert_called_once_with(mock_auth_header[\"Authorization\"])\n    mock_get_version.assert_called_once_with(\n        agent_id=123,\n        tenant_id=\"test_tenant_id\",\n        version_no=1\n    )\n    assert response.json()[\"version_no\"] == 1\n\n\ndef test_get_version_api_not_found(mocker, mock_auth_header):\n    \"\"\"Test get version with ValueError (not found)\"\"\"\n    mock_get_user_id = mocker.patch(\"apps.agent_app.get_current_user_id\")\n    mock_get_version = mocker.patch(\"apps.agent_app.get_version_impl\")\n    \n    mock_get_user_id.return_value = (\"test_user_id\", \"test_tenant_id\")\n    mock_get_version.side_effect = ValueError(\"Version not found\")\n    \n    response = config_client.get(\n        \"/agent/123/versions/999\",\n        headers=mock_auth_header\n    )\n    \n    assert response.status_code == 404\n    assert response.json()[\"detail\"] == \"Version not found\"\n\n\ndef test_get_version_api_exception(mocker, mock_auth_header):\n    \"\"\"Test get version with general exception\"\"\"\n    mock_get_user_id = mocker.patch(\"apps.agent_app.get_current_user_id\")\n    mock_get_version = mocker.patch(\"apps.agent_app.get_version_impl\")\n    \n    mock_get_user_id.return_value = (\"test_user_id\", \"test_tenant_id\")\n    mock_get_version.side_effect = Exception(\"Database error\")\n    \n    response = config_client.get(\n        \"/agent/123/versions/1\",\n        headers=mock_auth_header\n    )\n    \n    assert response.status_code == 500\n    assert \"Get version detail error\" in response.json()[\"detail\"]\n\n\ndef test_get_version_detail_api_success(mocker, mock_auth_header):\n    \"\"\"Test successful version detail retrieval\"\"\"\n    mock_get_user_id = mocker.patch(\"apps.agent_app.get_current_user_id\")\n    mock_get_version_detail = mocker.patch(\"apps.agent_app.get_version_detail_impl\")\n    \n    mock_get_user_id.return_value = (\"test_user_id\", \"test_tenant_id\")\n    mock_get_version_detail.return_value = {\n        \"version_no\": 1,\n        \"version_name\": \"v1.0.0\",\n        \"status\": \"RELEASED\",\n        \"agent_snapshot\": {\"agent_id\": 123, \"name\": \"Test Agent\"},\n        \"tool_snapshots\": [],\n        \"relation_snapshots\": []\n    }\n    \n    response = config_client.get(\n        \"/agent/123/versions/1/detail\",\n        headers=mock_auth_header\n    )\n    \n    assert response.status_code == 200\n    mock_get_user_id.assert_called_once_with(mock_auth_header[\"Authorization\"])\n    mock_get_version_detail.assert_called_once_with(\n        agent_id=123,\n        tenant_id=\"test_tenant_id\",\n        version_no=1\n    )\n    assert response.json()[\"version_no\"] == 1\n    assert \"agent_snapshot\" in response.json()\n\n\ndef test_get_version_detail_api_not_found(mocker, mock_auth_header):\n    \"\"\"Test get version detail with ValueError (not found)\"\"\"\n    mock_get_user_id = mocker.patch(\"apps.agent_app.get_current_user_id\")\n    mock_get_version_detail = mocker.patch(\"apps.agent_app.get_version_detail_impl\")\n    \n    mock_get_user_id.return_value = (\"test_user_id\", \"test_tenant_id\")\n    mock_get_version_detail.side_effect = ValueError(\"Version not found\")\n    \n    response = config_client.get(\n        \"/agent/123/versions/999/detail\",\n        headers=mock_auth_header\n    )\n    \n    assert response.status_code == 404\n    assert response.json()[\"detail\"] == \"Version not found\"\n\n\ndef test_get_version_detail_api_exception(mocker, mock_auth_header):\n    \"\"\"Test get version detail with general exception\"\"\"\n    mock_get_user_id = mocker.patch(\"apps.agent_app.get_current_user_id\")\n    mock_get_version_detail = mocker.patch(\"apps.agent_app.get_version_detail_impl\")\n    \n    mock_get_user_id.return_value = (\"test_user_id\", \"test_tenant_id\")\n    mock_get_version_detail.side_effect = Exception(\"Database error\")\n    \n    response = config_client.get(\n        \"/agent/123/versions/1/detail\",\n        headers=mock_auth_header\n    )\n    \n    assert response.status_code == 500\n    assert \"Get version detail error\" in response.json()[\"detail\"]\n\n\ndef test_rollback_version_api_success(mocker, mock_auth_header):\n    \"\"\"Test successful version rollback\"\"\"\n    mock_get_user_id = mocker.patch(\"apps.agent_app.get_current_user_id\")\n    mock_rollback_version = mocker.patch(\"apps.agent_app.rollback_version_impl\")\n    \n    mock_get_user_id.return_value = (\"test_user_id\", \"test_tenant_id\")\n    mock_rollback_version.return_value = {\n        \"success\": True,\n        \"message\": \"Successfully rolled back to version 1\",\n        \"version_no\": 1\n    }\n    \n    response = config_client.post(\n        \"/agent/123/versions/1/rollback\",\n        headers=mock_auth_header\n    )\n    \n    assert response.status_code == 200\n    mock_get_user_id.assert_called_once_with(mock_auth_header[\"Authorization\"])\n    mock_rollback_version.assert_called_once_with(\n        agent_id=123,\n        tenant_id=\"test_tenant_id\",\n        target_version_no=1\n    )\n    assert response.json()[\"success\"] is True\n\n\ndef test_rollback_version_api_bad_request(mocker, mock_auth_header):\n    \"\"\"Test rollback version with ValueError\"\"\"\n    mock_get_user_id = mocker.patch(\"apps.agent_app.get_current_user_id\")\n    mock_rollback_version = mocker.patch(\"apps.agent_app.rollback_version_impl\")\n    \n    mock_get_user_id.return_value = (\"test_user_id\", \"test_tenant_id\")\n    mock_rollback_version.side_effect = ValueError(\"Version not found\")\n    \n    response = config_client.post(\n        \"/agent/123/versions/999/rollback\",\n        headers=mock_auth_header\n    )\n    \n    assert response.status_code == 400\n    assert response.json()[\"detail\"] == \"Version not found\"\n\n\ndef test_rollback_version_api_exception(mocker, mock_auth_header):\n    \"\"\"Test rollback version with general exception\"\"\"\n    mock_get_user_id = mocker.patch(\"apps.agent_app.get_current_user_id\")\n    mock_rollback_version = mocker.patch(\"apps.agent_app.rollback_version_impl\")\n    \n    mock_get_user_id.return_value = (\"test_user_id\", \"test_tenant_id\")\n    mock_rollback_version.side_effect = Exception(\"Database error\")\n    \n    response = config_client.post(\n        \"/agent/123/versions/1/rollback\",\n        headers=mock_auth_header\n    )\n    \n    assert response.status_code == 500\n    assert \"Rollback version error\" in response.json()[\"detail\"]\n\n\ndef test_update_version_status_api_success(mocker, mock_auth_header):\n    \"\"\"Test successful version status update\"\"\"\n    mock_get_user_id = mocker.patch(\"apps.agent_app.get_current_user_id\")\n    mock_update_version_status = mocker.patch(\"apps.agent_app.update_version_status_impl\")\n    \n    mock_get_user_id.return_value = (\"test_user_id\", \"test_tenant_id\")\n    mock_update_version_status.return_value = {\n        \"success\": True,\n        \"message\": \"Version status updated successfully\"\n    }\n    \n    response = config_client.patch(\n        \"/agent/123/versions/1/status\",\n        json={\"status\": \"DISABLED\"},\n        headers=mock_auth_header\n    )\n    \n    assert response.status_code == 200\n    mock_get_user_id.assert_called_once_with(mock_auth_header[\"Authorization\"])\n    mock_update_version_status.assert_called_once_with(\n        agent_id=123,\n        tenant_id=\"test_tenant_id\",\n        user_id=\"test_user_id\",\n        version_no=1,\n        status=\"DISABLED\"\n    )\n    assert response.json()[\"success\"] is True\n\n\ndef test_update_version_status_api_bad_request(mocker, mock_auth_header):\n    \"\"\"Test update version status with ValueError\"\"\"\n    mock_get_user_id = mocker.patch(\"apps.agent_app.get_current_user_id\")\n    mock_update_version_status = mocker.patch(\"apps.agent_app.update_version_status_impl\")\n    \n    mock_get_user_id.return_value = (\"test_user_id\", \"test_tenant_id\")\n    mock_update_version_status.side_effect = ValueError(\"Invalid status\")\n    \n    response = config_client.patch(\n        \"/agent/123/versions/1/status\",\n        json={\"status\": \"INVALID\"},\n        headers=mock_auth_header\n    )\n    \n    assert response.status_code == 400\n    assert response.json()[\"detail\"] == \"Invalid status\"\n\n\ndef test_update_version_status_api_exception(mocker, mock_auth_header):\n    \"\"\"Test update version status with general exception\"\"\"\n    mock_get_user_id = mocker.patch(\"apps.agent_app.get_current_user_id\")\n    mock_update_version_status = mocker.patch(\"apps.agent_app.update_version_status_impl\")\n    \n    mock_get_user_id.return_value = (\"test_user_id\", \"test_tenant_id\")\n    mock_update_version_status.side_effect = Exception(\"Database error\")\n    \n    response = config_client.patch(\n        \"/agent/123/versions/1/status\",\n        json={\"status\": \"DISABLED\"},\n        headers=mock_auth_header\n    )\n    \n    assert response.status_code == 500\n    assert \"Update version status error\" in response.json()[\"detail\"]\n\n\ndef test_update_version_api_success(mocker, mock_auth_header):\n    \"\"\"Test successful version metadata update\"\"\"\n    mock_get_user_id = mocker.patch(\"apps.agent_app.get_current_user_id\")\n    mock_update_version = mocker.patch(\"apps.agent_app.update_version_impl\")\n\n    mock_get_user_id.return_value = (\"test_user_id\", \"test_tenant_id\")\n    mock_update_version.return_value = {\n        \"message\": \"Version updated successfully\",\n        \"version_no\": 1\n    }\n\n    response = config_client.put(\n        \"/agent/123/versions/1\",\n        json={\"version_name\": \"Updated Version\", \"release_note\": \"Updated note\"},\n        headers=mock_auth_header\n    )\n\n    assert response.status_code == 200\n    mock_update_version.assert_called_once_with(\n        agent_id=123,\n        tenant_id=\"test_tenant_id\",\n        user_id=\"test_user_id\",\n        version_no=1,\n        version_name=\"Updated Version\",\n        release_note=\"Updated note\"\n    )\n    assert response.json()[\"version_no\"] == 1\n\n\ndef test_update_version_api_bad_request(mocker, mock_auth_header):\n    \"\"\"Test update version with ValueError\"\"\"\n    mock_get_user_id = mocker.patch(\"apps.agent_app.get_current_user_id\")\n    mock_update_version = mocker.patch(\"apps.agent_app.update_version_impl\")\n\n    mock_get_user_id.return_value = (\"test_user_id\", \"test_tenant_id\")\n    mock_update_version.side_effect = ValueError(\"No changes to update\")\n\n    response = config_client.put(\n        \"/agent/123/versions/1\",\n        json={\"version_name\": \"Updated Version\"},\n        headers=mock_auth_header\n    )\n\n    assert response.status_code == 400\n    assert response.json()[\"detail\"] == \"No changes to update\"\n\n\ndef test_update_version_api_exception(mocker, mock_auth_header):\n    \"\"\"Test update version with general exception\"\"\"\n    mock_get_user_id = mocker.patch(\"apps.agent_app.get_current_user_id\")\n    mock_update_version = mocker.patch(\"apps.agent_app.update_version_impl\")\n\n    mock_get_user_id.return_value = (\"test_user_id\", \"test_tenant_id\")\n    mock_update_version.side_effect = Exception(\"Database error\")\n\n    response = config_client.put(\n        \"/agent/123/versions/1\",\n        json={\"version_name\": \"Updated Version\"},\n        headers=mock_auth_header\n    )\n\n    assert response.status_code == 500\n    assert \"Update version error\" in response.json()[\"detail\"]\n\n\ndef test_delete_version_api_success(mocker, mock_auth_header):\n    \"\"\"Test successful version deletion\"\"\"\n    mock_get_user_id = mocker.patch(\"apps.agent_app.get_current_user_id\")\n    mock_delete_version = mocker.patch(\"apps.agent_app.delete_version_impl\")\n    \n    mock_get_user_id.return_value = (\"test_user_id\", \"test_tenant_id\")\n    mock_delete_version.return_value = {\n        \"success\": True,\n        \"message\": \"Version 1 deleted successfully\"\n    }\n    \n    response = config_client.delete(\n        \"/agent/123/versions/1\",\n        headers=mock_auth_header\n    )\n    \n    assert response.status_code == 200\n    mock_get_user_id.assert_called_once_with(mock_auth_header[\"Authorization\"])\n    mock_delete_version.assert_called_once_with(\n        agent_id=123,\n        tenant_id=\"test_tenant_id\",\n        user_id=\"test_user_id\",\n        version_no=1\n    )\n    assert response.json()[\"success\"] is True\n\n\ndef test_delete_version_api_bad_request(mocker, mock_auth_header):\n    \"\"\"Test delete version with ValueError\"\"\"\n    mock_get_user_id = mocker.patch(\"apps.agent_app.get_current_user_id\")\n    mock_delete_version = mocker.patch(\"apps.agent_app.delete_version_impl\")\n    \n    mock_get_user_id.return_value = (\"test_user_id\", \"test_tenant_id\")\n    mock_delete_version.side_effect = ValueError(\"Cannot delete draft version\")\n    \n    response = config_client.delete(\n        \"/agent/123/versions/0\",\n        headers=mock_auth_header\n    )\n    \n    assert response.status_code == 400\n    assert response.json()[\"detail\"] == \"Cannot delete draft version\"\n\n\ndef test_delete_version_api_exception(mocker, mock_auth_header):\n    \"\"\"Test delete version with general exception\"\"\"\n    mock_get_user_id = mocker.patch(\"apps.agent_app.get_current_user_id\")\n    mock_delete_version = mocker.patch(\"apps.agent_app.delete_version_impl\")\n    \n    mock_get_user_id.return_value = (\"test_user_id\", \"test_tenant_id\")\n    mock_delete_version.side_effect = Exception(\"Database error\")\n    \n    response = config_client.delete(\n        \"/agent/123/versions/1\",\n        headers=mock_auth_header\n    )\n    \n    assert response.status_code == 500\n    assert \"Delete version error\" in response.json()[\"detail\"]\n\n\ndef test_get_current_version_api_success(mocker, mock_auth_header):\n    \"\"\"Test successful current version retrieval\"\"\"\n    mock_get_user_id = mocker.patch(\"apps.agent_app.get_current_user_id\")\n    mock_get_current_version = mocker.patch(\"apps.agent_app.get_current_version_impl\")\n    \n    mock_get_user_id.return_value = (\"test_user_id\", \"test_tenant_id\")\n    mock_get_current_version.return_value = {\n        \"version_no\": 1,\n        \"version_name\": \"v1.0.0\",\n        \"status\": \"RELEASED\"\n    }\n    \n    response = config_client.get(\n        \"/agent/123/current_version\",\n        headers=mock_auth_header\n    )\n    \n    assert response.status_code == 200\n    mock_get_user_id.assert_called_once_with(mock_auth_header[\"Authorization\"])\n    mock_get_current_version.assert_called_once_with(\n        agent_id=123,\n        tenant_id=\"test_tenant_id\"\n    )\n    assert response.json()[\"version_no\"] == 1\n\n\ndef test_get_current_version_api_not_found(mocker, mock_auth_header):\n    \"\"\"Test get current version with ValueError (not found)\"\"\"\n    mock_get_user_id = mocker.patch(\"apps.agent_app.get_current_user_id\")\n    mock_get_current_version = mocker.patch(\"apps.agent_app.get_current_version_impl\")\n    \n    mock_get_user_id.return_value = (\"test_user_id\", \"test_tenant_id\")\n    mock_get_current_version.side_effect = ValueError(\"No published version found\")\n    \n    response = config_client.get(\n        \"/agent/123/current_version\",\n        headers=mock_auth_header\n    )\n    \n    assert response.status_code == 404\n    assert response.json()[\"detail\"] == \"No published version found\"\n\n\ndef test_get_current_version_api_exception(mocker, mock_auth_header):\n    \"\"\"Test get current version with general exception\"\"\"\n    mock_get_user_id = mocker.patch(\"apps.agent_app.get_current_user_id\")\n    mock_get_current_version = mocker.patch(\"apps.agent_app.get_current_version_impl\")\n    \n    mock_get_user_id.return_value = (\"test_user_id\", \"test_tenant_id\")\n    mock_get_current_version.side_effect = Exception(\"Database error\")\n    \n    response = config_client.get(\n        \"/agent/123/current_version\",\n        headers=mock_auth_header\n    )\n    \n    assert response.status_code == 500\n    assert \"Get current version error\" in response.json()[\"detail\"]\n\n\ndef test_list_published_agents_api_success(mocker, mock_auth_header):\n    \"\"\"Test successful published agents list retrieval\"\"\"\n    mock_get_user_info = mocker.patch(\"apps.agent_app.get_current_user_info\")\n    mock_list_published_agents = mocker.patch(\n        \"apps.agent_app.list_published_agents_impl\", new_callable=mocker.AsyncMock)\n    \n    mock_get_user_info.return_value = (\"test_user_id\", \"test_tenant_id\", \"en\")\n    mock_list_published_agents.return_value = [\n        {\n            \"agent_id\": 1,\n            \"name\": \"Agent 1\",\n            \"published_version_no\": 1,\n            \"version_name\": \"v1.0.0\"\n        },\n        {\n            \"agent_id\": 2,\n            \"name\": \"Agent 2\",\n            \"published_version_no\": 2,\n            \"version_name\": \"v2.0.0\"\n        }\n    ]\n    \n    response = config_client.get(\n        \"/agent/published_list\",\n        headers=mock_auth_header\n    )\n    \n    assert response.status_code == 200\n    mock_get_user_info.assert_called_once_with(mock_auth_header[\"Authorization\"], ANY)\n    mock_list_published_agents.assert_called_once_with(\n        tenant_id=\"test_tenant_id\",\n        user_id=\"test_user_id\"\n    )\n    assert len(response.json()) == 2\n    assert response.json()[0][\"agent_id\"] == 1\n\n\ndef test_list_published_agents_api_exception(mocker, mock_auth_header):\n    \"\"\"Test list published agents with exception\"\"\"\n    mock_get_user_info = mocker.patch(\"apps.agent_app.get_current_user_info\")\n    mock_list_published_agents = mocker.patch(\n        \"apps.agent_app.list_published_agents_impl\", new_callable=mocker.AsyncMock)\n    \n    mock_get_user_info.return_value = (\"test_user_id\", \"test_tenant_id\", \"en\")\n    mock_list_published_agents.side_effect = Exception(\"Database error\")\n    \n    response = config_client.get(\n        \"/agent/published_list\",\n        headers=mock_auth_header\n    )\n    \n    assert response.status_code == 500\n    assert \"Published agents list error\" in response.json()[\"detail\"]"
  },
  {
    "path": "test/backend/app/test_app_factory.py",
    "content": "\"\"\"\nUnit tests for app_factory module.\n\nTests the create_app function and register_exception_handlers function\nfor FastAPI application factory with common configurations and exception handlers.\n\"\"\"\nimport sys\nimport os\n\nfrom fastapi import FastAPI, HTTPException\nfrom fastapi.testclient import TestClient\n\n# Add the backend directory to path so we can import modules\nbackend_path = os.path.abspath(os.path.join(\n    os.path.dirname(__file__), '../../../backend'))\nsys.path.insert(0, backend_path)\n\n# Import AppException from consts.exceptions where it is defined\nfrom consts.error_code import ErrorCode\nfrom consts.exceptions import AppException\nfrom backend.apps.app_factory import create_app, register_exception_handlers\n\nclass TestCreateApp:\n    \"\"\"Test class for create_app function.\"\"\"\n\n    def test_create_app_default_parameters(self):\n        \"\"\"Test creating app with default parameters.\"\"\"\n        app = create_app()\n\n        assert app is not None\n        assert isinstance(app, FastAPI)\n        assert app.title == \"Nexent API\"\n        assert app.version == \"1.0.0\"\n        assert app.root_path == \"/api\"\n\n    def test_create_app_custom_title(self):\n        \"\"\"Test creating app with custom title.\"\"\"\n        app = create_app(title=\"Custom API\")\n\n        assert app.title == \"Custom API\"\n\n    def test_create_app_custom_description(self):\n        \"\"\"Test creating app with custom description.\"\"\"\n        app = create_app(description=\"Custom description\")\n\n        assert app.description == \"Custom description\"\n\n    def test_create_app_custom_version(self):\n        \"\"\"Test creating app with custom version.\"\"\"\n        app = create_app(version=\"2.0.0\")\n\n        assert app.version == \"2.0.0\"\n\n    def test_create_app_custom_root_path(self):\n        \"\"\"Test creating app with custom root path.\"\"\"\n        app = create_app(root_path=\"/custom\")\n\n        assert app.root_path == \"/custom\"\n\n    def test_create_app_custom_cors_origins(self):\n        \"\"\"Test creating app with custom CORS origins.\"\"\"\n        custom_origins = [\"https://example.com\", \"https://api.example.com\"]\n        app = create_app(cors_origins=custom_origins)\n\n        assert app is not None\n\n    def test_create_app_custom_cors_methods(self):\n        \"\"\"Test creating app with custom CORS methods.\"\"\"\n        custom_methods = [\"GET\", \"POST\", \"PUT\", \"DELETE\"]\n        app = create_app(cors_methods=custom_methods)\n\n        assert app is not None\n\n    def test_create_app_with_monitoring_disabled(self):\n        \"\"\"Test creating app with monitoring disabled.\"\"\"\n        app = create_app(enable_monitoring=False)\n\n        assert app is not None\n        assert isinstance(app, FastAPI)\n\n    def test_create_app_with_monitoring_enabled(self):\n        \"\"\"Test creating app with monitoring enabled.\"\"\"\n        app = create_app(enable_monitoring=True)\n\n        assert app is not None\n        assert isinstance(app, FastAPI)\n\n    def test_create_app_all_parameters(self):\n        \"\"\"Test creating app with all parameters.\"\"\"\n        app = create_app(\n            title=\"Full Test API\",\n            description=\"Full description\",\n            version=\"3.0.0\",\n            root_path=\"/v3\",\n            cors_origins=[\"https://test.com\"],\n            cors_methods=[\"GET\", \"POST\"],\n            enable_monitoring=True\n        )\n\n        assert app.title == \"Full Test API\"\n        assert app.description == \"Full description\"\n        assert app.version == \"3.0.0\"\n        assert app.root_path == \"/v3\"\n\n\nclass TestRegisterExceptionHandlers:\n    \"\"\"Test class for register_exception_handlers function.\"\"\"\n\n    def test_register_exception_handlers_basic(self):\n        \"\"\"Test registering exception handlers on a basic FastAPI app.\"\"\"\n        app = FastAPI()\n        register_exception_handlers(app)\n\n        assert app is not None\n\n    def test_http_exception_handler(self):\n        \"\"\"Test HTTPException handler returns correct response.\"\"\"\n        app = FastAPI()\n        register_exception_handlers(app)\n\n        @app.get(\"/test-http-exception\")\n        def raise_http_exception():\n            raise HTTPException(status_code=404, detail=\"Not found\")\n\n        client = TestClient(app, raise_server_exceptions=False)\n        response = client.get(\"/test-http-exception\")\n\n        assert response.status_code == 404\n        assert response.json() == {\"message\": \"Not found\"}\n\n    def test_http_exception_handler_400(self):\n        \"\"\"Test HTTPException handler with 400 status.\"\"\"\n        app = FastAPI()\n        register_exception_handlers(app)\n\n        @app.get(\"/test-bad-request\")\n        def raise_bad_request():\n            raise HTTPException(status_code=400, detail=\"Bad request\")\n\n        client = TestClient(app, raise_server_exceptions=False)\n        response = client.get(\"/test-bad-request\")\n\n        assert response.status_code == 400\n        assert response.json() == {\"message\": \"Bad request\"}\n\n    def test_http_exception_handler_500(self):\n        \"\"\"Test HTTPException handler with 500 status.\"\"\"\n        app = FastAPI()\n        register_exception_handlers(app)\n\n        @app.get(\"/test-server-error\")\n        def raise_server_error():\n            raise HTTPException(\n                status_code=500, detail=\"Internal server error\")\n\n        client = TestClient(app, raise_server_exceptions=False)\n        response = client.get(\"/test-server-error\")\n\n        assert response.status_code == 500\n        assert response.json() == {\"message\": \"Internal server error\"}\n\n    def test_app_exception_handler(self):\n        \"\"\"Test AppException handler returns correct response.\"\"\"\n        app = FastAPI()\n        register_exception_handlers(app)\n\n        @app.get(\"/test-app-exception\")\n        def raise_app_exception():\n            raise AppException(\n                ErrorCode.COMMON_VALIDATION_ERROR, \"Validation failed\")\n\n        client = TestClient(app, raise_server_exceptions=False)\n        response = client.get(\"/test-app-exception\")\n\n        assert response.status_code == 400\n        assert response.json()[\n            \"code\"] == ErrorCode.COMMON_VALIDATION_ERROR.value\n        assert response.json()[\"message\"] == \"Validation failed\"\n\n    def test_app_exception_handler_with_details(self):\n        \"\"\"Test AppException handler with details returns correct response.\"\"\"\n        app = FastAPI()\n        register_exception_handlers(app)\n\n        @app.get(\"/test-app-exception-details\")\n        def raise_app_exception_with_details():\n            raise AppException(\n                ErrorCode.MCP_CONNECTION_FAILED,\n                \"Connection failed\",\n                details={\"host\": \"localhost\", \"port\": 8080}\n            )\n\n        client = TestClient(app, raise_server_exceptions=False)\n        response = client.get(\"/test-app-exception-details\")\n\n        # MCP_CONNECTION_FAILED maps to 500 by default\n        assert response.status_code == 500\n        assert response.json()[\"code\"] == ErrorCode.MCP_CONNECTION_FAILED.value\n        assert response.json()[\"details\"] == {\n            \"host\": \"localhost\", \"port\": 8080}\n\n    def test_app_exception_handler_unauthorized(self):\n        \"\"\"Test AppException handler with UNAUTHORIZED error code.\"\"\"\n        app = FastAPI()\n        register_exception_handlers(app)\n\n        @app.get(\"/test-unauthorized\")\n        def raise_unauthorized():\n            raise AppException(ErrorCode.COMMON_UNAUTHORIZED,\n                               \"Unauthorized access\")\n\n        client = TestClient(app, raise_server_exceptions=False)\n        response = client.get(\"/test-unauthorized\")\n\n        assert response.status_code == 401\n\n    def test_app_exception_handler_forbidden(self):\n        \"\"\"Test AppException handler with FORBIDDEN error code.\"\"\"\n        app = FastAPI()\n        register_exception_handlers(app)\n\n        @app.get(\"/test-forbidden\")\n        def raise_forbidden():\n            raise AppException(ErrorCode.COMMON_FORBIDDEN, \"Access forbidden\")\n\n        client = TestClient(app, raise_server_exceptions=False)\n        response = client.get(\"/test-forbidden\")\n\n        assert response.status_code == 403\n\n    def test_app_exception_handler_rate_limit(self):\n        \"\"\"Test AppException handler with RATE_LIMIT_EXCEEDED error code.\"\"\"\n        app = FastAPI()\n        register_exception_handlers(app)\n\n        @app.get(\"/test-rate-limit\")\n        def raise_rate_limit():\n            raise AppException(ErrorCode.COMMON_RATE_LIMIT_EXCEEDED,\n                               \"Too many requests\")\n\n        client = TestClient(app, raise_server_exceptions=False)\n        response = client.get(\"/test-rate-limit\")\n\n        assert response.status_code == 429\n\n    def test_generic_exception_handler(self):\n        \"\"\"Test generic Exception handler returns correct response.\"\"\"\n        app = FastAPI()\n        register_exception_handlers(app)\n\n        @app.get(\"/test-generic-exception\")\n        def raise_generic_exception():\n            raise RuntimeError(\"Something went wrong\")\n\n        client = TestClient(app, raise_server_exceptions=False)\n        response = client.get(\"/test-generic-exception\")\n\n        assert response.status_code == 500\n        assert response.json() == {\n            \"message\": \"Internal server error, please try again later.\"}\n\n    def test_generic_exception_handler_value_error(self):\n        \"\"\"Test generic Exception handler with ValueError.\"\"\"\n        app = FastAPI()\n        register_exception_handlers(app)\n\n        @app.get(\"/test-value-error\")\n        def raise_value_error():\n            raise ValueError(\"Invalid value\")\n\n        client = TestClient(app, raise_server_exceptions=False)\n        response = client.get(\"/test-value-error\")\n\n        assert response.status_code == 500\n\n    def test_app_exception_takes_precedence_in_generic_handler(self):\n        \"\"\"Test that AppException is handled by its own handler, not generic.\"\"\"\n        app = FastAPI()\n        register_exception_handlers(app)\n\n        @app.get(\"/test-app-exception-in-generic\")\n        def raise_app_exception():\n            # This should be handled by AppException handler, not generic\n            # Use VALIDATION_ERROR which maps to 400\n            raise AppException(\n                ErrorCode.COMMON_VALIDATION_ERROR, \"Validation failed\")\n\n        client = TestClient(app, raise_server_exceptions=False)\n        response = client.get(\"/test-app-exception-in-generic\")\n\n        # Should return 400 (mapped from VALIDATION_ERROR)\n        assert response.status_code == 400\n        assert response.json()[\n            \"code\"] == ErrorCode.COMMON_VALIDATION_ERROR.value\n\n\nclass TestExceptionMappingToHttpStatus:\n    \"\"\"Test class for exception mapping to HTTP status codes.\"\"\"\n\n    def test_validation_error_maps_to_400(self):\n        \"\"\"Test VALIDATION_ERROR maps to 400.\"\"\"\n        app = FastAPI()\n        register_exception_handlers(app)\n\n        @app.get(\"/validation-error\")\n        def test_validation():\n            raise AppException(\n                ErrorCode.COMMON_VALIDATION_ERROR, \"Invalid input\")\n\n        client = TestClient(app, raise_server_exceptions=False)\n        response = client.get(\"/validation-error\")\n\n        assert response.status_code == 400\n\n    def test_parameter_invalid_maps_to_400(self):\n        \"\"\"Test PARAMETER_INVALID maps to 400.\"\"\"\n        app = FastAPI()\n        register_exception_handlers(app)\n\n        @app.get(\"/parameter-invalid\")\n        def test_param():\n            raise AppException(ErrorCode.COMMON_PARAMETER_INVALID,\n                               \"Invalid parameter\")\n\n        client = TestClient(app, raise_server_exceptions=False)\n        response = client.get(\"/parameter-invalid\")\n\n        assert response.status_code == 400\n\n    def test_missing_required_field_maps_to_400(self):\n        \"\"\"Test MISSING_REQUIRED_FIELD maps to 400.\"\"\"\n        app = FastAPI()\n        register_exception_handlers(app)\n\n        @app.get(\"/missing-field\")\n        def test_missing():\n            raise AppException(\n                ErrorCode.COMMON_MISSING_REQUIRED_FIELD, \"Field missing\")\n\n        client = TestClient(app, raise_server_exceptions=False)\n        response = client.get(\"/missing-field\")\n\n        assert response.status_code == 400\n\n    def test_file_too_large_maps_to_413(self):\n        \"\"\"Test FILE_TOO_LARGE maps to 413.\"\"\"\n        app = FastAPI()\n        register_exception_handlers(app)\n\n        @app.get(\"/file-too-large\")\n        def test_file():\n            raise AppException(ErrorCode.FILE_TOO_LARGE, \"File too large\")\n\n        client = TestClient(app, raise_server_exceptions=False)\n        response = client.get(\"/file-too-large\")\n\n        assert response.status_code == 413\n\n\nclass TestMonitoringIntegration:\n    \"\"\"Test class for monitoring integration.\"\"\"\n\n    def test_monitoring_enabled_does_not_raise(self):\n        \"\"\"Test that create_app with enable_monitoring=True does not raise.\"\"\"\n        # This tests that the monitoring code path runs without error\n        # Even if monitoring is not available, it should be caught gracefully\n        app = create_app(enable_monitoring=True)\n\n        assert app is not None\n        assert isinstance(app, FastAPI)\n\n    def test_monitoring_disabled_does_not_raise(self):\n        \"\"\"Test that create_app with enable_monitoring=False does not raise.\"\"\"\n        app = create_app(enable_monitoring=False)\n\n        assert app is not None\n        assert isinstance(app, FastAPI)\n\n    def test_monitoring_with_actual_module(self):\n        \"\"\"Test that create_app works when monitoring module is available.\"\"\"\n        # Test with monitoring disabled to avoid actual module dependency\n        app = create_app(enable_monitoring=False)\n\n        assert app is not None\n        # Verify basic app attributes are set correctly\n        assert app.title == \"Nexent API\"\n        assert app.version == \"1.0.0\"\n        assert app.root_path == \"/api\"\n\n\nclass TestCORSConfiguration:\n    \"\"\"Test class for CORS configuration.\"\"\"\n\n    def test_cors_middleware_added_with_default_origins(self):\n        \"\"\"Test CORS middleware is added with default origins.\"\"\"\n        app = create_app()\n\n        # Verify CORS middleware is in the middleware stack\n        # FastAPI adds middleware as wrappers\n        middleware_stack = app.user_middleware\n        assert len(middleware_stack) > 0\n\n    def test_cors_middleware_added_with_custom_origins(self):\n        \"\"\"Test CORS middleware is added with custom origins.\"\"\"\n        custom_origins = [\"https://example.com\"]\n        app = create_app(cors_origins=custom_origins)\n\n        assert app is not None\n\n    def test_cors_middleware_with_credentials(self):\n        \"\"\"Test CORS middleware allows credentials.\"\"\"\n        app = create_app()\n\n        # Middleware should be added\n        assert app is not None\n\n\nclass TestAppExceptionResponseFormat:\n    \"\"\"Test class for AppException response format.\"\"\"\n\n    def test_response_contains_code_field(self):\n        \"\"\"Test response contains 'code' field.\"\"\"\n        app = FastAPI()\n        register_exception_handlers(app)\n\n        @app.get(\"/test-code-field\")\n        def test_code():\n            raise AppException(\n                ErrorCode.AGENTSPACE_AGENT_NOT_FOUND, \"Agent not found\")\n\n        client = TestClient(app, raise_server_exceptions=False)\n        response = client.get(\"/test-code-field\")\n\n        assert \"code\" in response.json()\n\n    def test_response_contains_message_field(self):\n        \"\"\"Test response contains 'message' field.\"\"\"\n        app = FastAPI()\n        register_exception_handlers(app)\n\n        @app.get(\"/test-message-field\")\n        def test_message():\n            raise AppException(\n                ErrorCode.AGENTSPACE_AGENT_NOT_FOUND, \"Agent not found\")\n\n        client = TestClient(app, raise_server_exceptions=False)\n        response = client.get(\"/test-message-field\")\n\n        assert \"message\" in response.json()\n\n    def test_response_details_is_none_when_not_provided(self):\n        \"\"\"Test response details is None when not provided.\"\"\"\n        app = FastAPI()\n        register_exception_handlers(app)\n\n        @app.get(\"/test-no-details\")\n        def test_no_details():\n            raise AppException(\n                ErrorCode.COMMON_VALIDATION_ERROR, \"Validation failed\")\n\n        client = TestClient(app, raise_server_exceptions=False)\n        response = client.get(\"/test-no-details\")\n\n        # details should be None when not provided\n        assert response.json().get(\"details\") is None\n\n\nclass TestMultipleExceptionHandlers:\n    \"\"\"Test class for multiple exception handlers in same app.\"\"\"\n\n    def test_multiple_routes_with_different_exceptions(self):\n        \"\"\"Test app handles different exception types from different routes.\"\"\"\n        app = FastAPI()\n        register_exception_handlers(app)\n\n        @app.get(\"/http-exc\")\n        def route_http():\n            raise HTTPException(status_code=400, detail=\"HTTP error\")\n\n        @app.get(\"/app-exc\")\n        def route_app():\n            raise AppException(ErrorCode.COMMON_VALIDATION_ERROR, \"App error\")\n\n        @app.get(\"/gen-exc\")\n        def route_gen():\n            raise Exception(\"Generic error\")\n\n        client = TestClient(app, raise_server_exceptions=False)\n\n        assert client.get(\"/http-exc\").status_code == 400\n        assert client.get(\"/app-exc\").status_code == 400\n        assert client.get(\"/gen-exc\").status_code == 500\n\n\nclass TestMonitoringImportFailure:\n    \"\"\"Test class for monitoring import failure scenarios.\n\n    Tests the logger.warning when monitoring utilities are not available.\n    \"\"\"\n\n    def test_create_app_monitoring_import_failure_logs_warning(self):\n        \"\"\"Test that create_app logs warning when monitoring module import fails.\"\"\"\n        import logging\n        from unittest.mock import patch, MagicMock\n\n        # Mock the monitoring module to raise ImportError\n        with patch.dict('sys.modules', {'utils.monitoring': None}):\n            with patch('backend.apps.app_factory.logger') as mock_logger:\n                # Create app with monitoring enabled - import will fail\n                app = create_app(enable_monitoring=True)\n\n                # Verify logger.warning was called with expected message\n                mock_logger.warning.assert_called_once_with(\n                    \"Monitoring utilities not available\"\n                )\n\n                assert app is not None\n                assert isinstance(app, FastAPI)\n\n    def test_create_app_monitoring_disabled_no_warning(self):\n        \"\"\"Test that no warning is logged when monitoring is disabled.\"\"\"\n        from unittest.mock import patch\n\n        with patch('backend.apps.app_factory.logger') as mock_logger:\n            app = create_app(enable_monitoring=False)\n\n            # Warning should not be called when monitoring is disabled\n            mock_logger.warning.assert_not_called()\n\n            assert app is not None\n\n    def test_create_app_monitoring_import_error_specific_exception(self):\n        \"\"\"Test that create_app handles ImportError specifically.\"\"\"\n        from unittest.mock import patch, MagicMock\n\n        # Create a mock monitoring module that raises ImportError when accessed\n        mock_module = MagicMock()\n        mock_module.monitoring_manager = MagicMock()\n        mock_module.monitoring_manager.setup_fastapi_app.side_effect = ImportError(\n            \"No module named 'monitoring'\"\n        )\n\n        with patch.dict('sys.modules', {'utils.monitoring': mock_module}):\n            with patch('backend.apps.app_factory.logger') as mock_logger:\n                app = create_app(enable_monitoring=True)\n\n                # Should log warning about monitoring utilities not available\n                mock_logger.warning.assert_called_with(\n                    \"Monitoring utilities not available\"\n                )\n\n                assert app is not None\n\n\nclass TestGenericExceptionHandlerAppExceptionCheck:\n    \"\"\"Test class for generic exception handler's AppException check.\n\n    Tests the logic that prevents AppException from being caught\n    by the generic Exception handler.\n    \"\"\"\n\n    def test_generic_handler_does_not_catch_app_exception_with_different_codes(self):\n        \"\"\"Test that generic handler does not catch AppException for various error codes.\"\"\"\n        from fastapi.testclient import TestClient\n        from fastapi import FastAPI\n\n        # Test multiple AppException error codes to ensure they're all handled correctly\n        error_codes_to_test = [\n            (ErrorCode.COMMON_VALIDATION_ERROR, 400),\n            (ErrorCode.COMMON_UNAUTHORIZED, 401),\n            (ErrorCode.COMMON_FORBIDDEN, 403),\n            (ErrorCode.COMMON_RESOURCE_NOT_FOUND, 404),\n            (ErrorCode.COMMON_RATE_LIMIT_EXCEEDED, 429),\n        ]\n\n        for error_code, expected_status in error_codes_to_test:\n            app = FastAPI()\n            register_exception_handlers(app)\n\n            @app.get(f\"/test-{error_code.value}\")\n            def raise_specific_app_exception():\n                raise AppException(error_code, f\"Error {error_code.value}\")\n\n            client = TestClient(app, raise_server_exceptions=False)\n            response = client.get(f\"/test-{error_code.value}\")\n\n            # Each AppException should be handled by its specific handler, not generic\n            assert response.status_code == expected_status, \\\n                f\"Expected {expected_status} for {error_code.value}, got {response.status_code}\"\n            assert \"code\" in response.json()\n            assert response.json()[\"code\"] == error_code.value\n\n    def test_generic_handler_does_catch_non_app_exception(self):\n        \"\"\"Test that generic handler correctly catches non-AppException errors.\"\"\"\n        app = FastAPI()\n        register_exception_handlers(app)\n\n        @app.get(\"/test-runtime-error\")\n        def raise_runtime_error():\n            raise RuntimeError(\"Runtime error occurred\")\n\n        client = TestClient(app, raise_server_exceptions=False)\n        response = client.get(\"/test-runtime-error\")\n\n        # Generic exception handler should catch this\n        assert response.status_code == 500\n        assert response.json()[\n            \"message\"] == \"Internal server error, please try again later.\"\n\n    def test_generic_handler_does_catch_value_error(self):\n        \"\"\"Test that generic handler catches ValueError.\"\"\"\n        app = FastAPI()\n        register_exception_handlers(app)\n\n        @app.get(\"/test-value-error\")\n        def raise_value_error():\n            raise ValueError(\"Invalid value provided\")\n\n        client = TestClient(app, raise_server_exceptions=False)\n        response = client.get(\"/test-value-error\")\n\n        # Generic exception handler should catch ValueError\n        assert response.status_code == 500\n        assert response.json()[\n            \"message\"] == \"Internal server error, please try again later.\"\n\n    def test_generic_handler_does_catch_type_error(self):\n        \"\"\"Test that generic handler catches TypeError.\"\"\"\n        app = FastAPI()\n        register_exception_handlers(app)\n\n        @app.get(\"/test-type-error\")\n        def raise_type_error():\n            raise TypeError(\"Type mismatch\")\n\n        client = TestClient(app, raise_server_exceptions=False)\n        response = client.get(\"/test-type-error\")\n\n        # Generic exception handler should catch TypeError\n        assert response.status_code == 500\n\n    def test_app_exception_with_custom_http_status(self):\n        \"\"\"Test AppException with custom HTTP status is handled correctly.\"\"\"\n        app = FastAPI()\n        register_exception_handlers(app)\n\n        @app.get(\"/test-custom-status\")\n        def raise_custom_status():\n            # Use an error code that maps to a different status\n            raise AppException(ErrorCode.DIFY_SERVICE_ERROR,\n                               \"Dify service error\")\n\n        client = TestClient(app, raise_server_exceptions=False)\n        response = client.get(\"/test-custom-status\")\n\n        # DIFY_SERVICE_ERROR is not in the mapping, so it defaults to 500\n        # This test verifies that custom error codes still work correctly\n        assert response.status_code == 500\n        assert response.json()[\"code\"] == ErrorCode.DIFY_SERVICE_ERROR.value\n\n    def test_both_exception_handlers_registered(self):\n        \"\"\"Test that both AppException and generic Exception handlers are registered.\"\"\"\n        app = FastAPI()\n        register_exception_handlers(app)\n\n        # Check that exception handlers are registered\n        exception_handlers = app.exception_handlers\n\n        # Both HTTPException and Exception handlers should be registered\n        assert HTTPException in exception_handlers\n        assert Exception in exception_handlers\n\n    def test_app_exception_not_duplicated_in_generic_handler_logs(self):\n        \"\"\"Test that AppException is not logged as generic exception.\"\"\"\n        import logging\n        from unittest.mock import patch\n\n        app = FastAPI()\n        register_exception_handlers(app)\n\n        @app.get(\"/test-app-exc\")\n        def raise_app_exc():\n            raise AppException(\n                ErrorCode.COMMON_VALIDATION_ERROR, \"Validation error\")\n\n        # Use capture to check logging\n        with patch('backend.apps.app_factory.logger') as mock_logger:\n            client = TestClient(app, raise_server_exceptions=False)\n            response = client.get(\"/test-app-exc\")\n\n            # AppException should NOT trigger the generic exception logger\n            # It should go through the app_exception_handler which also logs\n            # But the generic handler should NOT log it as \"Generic Exception\"\n            assert response.status_code == 400\n\n            # Verify the AppException handler logged it (not generic)\n            # The AppException handler logs: f\"AppException: {exc.error_code.value} - {exc.message}\"\n            app_exception_logged = any(\n                \"AppException:\" in str(call) for call in mock_logger.error.call_args_list\n            )\n            assert app_exception_logged, \"AppException should be logged by app_exception_handler\"\n"
  },
  {
    "path": "test/backend/app/test_config_app.py",
    "content": "import pytest\nimport unittest\nfrom unittest.mock import patch, MagicMock, Mock\nimport sys\nimport os\n\nfrom fastapi import HTTPException\nfrom fastapi.testclient import TestClient\nimport atexit\n\n# Add the backend directory to path so we can import modules\nbackend_path = os.path.abspath(os.path.join(\n    os.path.dirname(__file__), '../../../backend'))\nsys.path.insert(0, backend_path)\n\n# Apply patches before importing any app modules\n# Apply critical patches before importing any modules\n# This prevents real AWS/MinIO/Elasticsearch calls during import\npatch('botocore.client.BaseClient._make_api_call', return_value={}).start()\n\n# Patch storage factory and MinIO config validation to avoid errors during initialization\n# These patches must be started before any imports that use MinioClient\nstorage_client_mock = MagicMock()\nminio_mock = MagicMock()\nminio_mock._ensure_bucket_exists = MagicMock()\nminio_mock.client = MagicMock()\n\n# Start critical patches first - storage factory and config validation must be patched\n# before any module imports that might trigger MinioClient initialization\ncritical_patches = [\n    # Patch storage factory and MinIO config validation FIRST\n    patch('nexent.storage.storage_client_factory.create_storage_client_from_config',\n          return_value=storage_client_mock),\n    patch('nexent.storage.minio_config.MinIOStorageConfig.validate',\n          lambda self: None),\n    # Mock boto3 client\n    patch('boto3.client', return_value=Mock()),\n    # Mock boto3 resource\n    patch('boto3.resource', return_value=Mock()),\n    # Mock Elasticsearch to prevent connection errors\n    patch('elasticsearch.Elasticsearch', return_value=Mock()),\n]\n\nfor p in critical_patches:\n    p.start()\n\n# Patch MinioClient class to return mock instance when instantiated\n# This prevents real initialization during module import\npatches = [\n    patch('backend.database.client.MinioClient', return_value=minio_mock),\n    patch('database.client.MinioClient', return_value=minio_mock),\n    patch('backend.database.client.minio_client', minio_mock),\n]\n\nfor p in patches:\n    p.start()\n\n# Combine all patches for cleanup\nall_patches = critical_patches + patches\n\n# Now safe to import modules that use database.client\n# After import, we can patch get_db_session if needed\ntry:\n    from backend.database import client as db_client_module\n\n    # Patch get_db_session after module is imported\n    db_session_patch = patch.object(\n        db_client_module, 'get_db_session', return_value=Mock())\n    db_session_patch.start()\n    all_patches.append(db_session_patch)\nexcept ImportError:\n    # If import fails, try patching the path directly (may trigger import)\n    db_session_patch = patch(\n        'backend.database.client.get_db_session', return_value=Mock())\n    db_session_patch.start()\n    all_patches.append(db_session_patch)\n\n# Now safe to import app modules - imports moved after patches\nfrom apps.config_app import app\n\n# Stop all patches at the end of the module\n\n\ndef stop_patches():\n    for p in all_patches:\n        p.stop()\n\n\natexit.register(stop_patches)\n\n\nclass TestBaseApp(unittest.TestCase):\n    def setUp(self):\n        self.client = TestClient(app)\n\n    def test_app_initialization(self):\n        \"\"\"Test that the FastAPI app is initialized with correct root path.\"\"\"\n        self.assertEqual(app.root_path, \"/api\")\n\n    def test_cors_middleware(self):\n        \"\"\"Test that CORS middleware is properly configured.\"\"\"\n        # Find the CORS middleware\n        cors_middleware = None\n        for middleware in app.user_middleware:\n            if middleware.cls.__name__ == \"CORSMiddleware\":\n                cors_middleware = middleware\n                break\n\n        self.assertIsNotNone(cors_middleware)\n\n        # In FastAPI, middleware options are stored in 'middleware.kwargs'\n        self.assertEqual(cors_middleware.kwargs.get(\"allow_origins\"), [\"*\"])\n        self.assertTrue(cors_middleware.kwargs.get(\"allow_credentials\"))\n        self.assertEqual(cors_middleware.kwargs.get(\"allow_methods\"), [\"*\"])\n        self.assertEqual(cors_middleware.kwargs.get(\"allow_headers\"), [\"*\"])\n\n    def test_routers_included(self):\n        \"\"\"Test that all routers are included in the app.\"\"\"\n        # Get all routes in the app\n        routes = [route.path for route in app.routes]\n\n        # Check if routes exist (at least some routes should be present)\n        self.assertTrue(len(routes) > 0)\n\n    def test_exception_handling_with_client(self):\n        \"\"\"Test exception handling using the test client.\"\"\"\n        # This test requires mocking an endpoint that raises an exception\n        # For demonstration purposes, we'll check if status_code for a non-existent endpoint is 404\n        response = self.client.get(\"/non-existent-endpoint\")\n        self.assertEqual(response.status_code, 404)\n\n    def test_speed_mode_logic(self):\n        \"\"\"Test the speed mode conditional logic.\"\"\"\n        # Since the conditional logic is executed at import time,\n        # we test the logic by checking the final state of the app\n        from apps.config_app import app\n        from consts.const import IS_SPEED_MODE\n\n        # Verify that the app has been properly initialized with routers\n        self.assertIsNotNone(app)\n        self.assertGreater(len(app.routes), 10)  # Should have many routes\n\n        # Test that IS_SPEED_MODE is accessible\n        self.assertIsInstance(IS_SPEED_MODE, bool)\n\n    @patch('utils.monitoring.monitoring_manager.setup_fastapi_app')\n    def test_monitoring_setup(self, mock_setup):\n        \"\"\"Test that monitoring is set up for the application.\"\"\"\n        # Re-import to trigger the setup\n        import importlib\n        import apps.config_app\n        importlib.reload(apps.config_app)\n\n        # Verify that setup_fastapi_app was called with the app\n        mock_setup.assert_called_once()\n        # The argument should be the FastAPI app instance\n        call_args = mock_setup.call_args[0]\n        self.assertEqual(call_args[0].root_path, \"/api\")\n\n    def test_all_routers_included(self):\n        \"\"\"Test that all expected routers are included in the app.\"\"\"\n        expected_routers = [\n            'model_manager_router',\n            'config_sync_router',\n            'agent_router',\n            'vectordatabase_router',\n            'voice_router',\n            'file_manager_router',\n            'proxy_router',\n            'tool_config_router',\n            # or 'user_management_router' depending on IS_SPEED_MODE\n            'mock_user_management_router',\n            'summary_router',\n            'prompt_router',\n            'tenant_config_router',\n            'remote_mcp_router',\n            'tenant_router',\n            'group_router',\n            'invitation_router'\n        ]\n\n        # Get all router names that were included\n        included_routers = []\n        for route in app.routes:\n            if hasattr(route, 'tags') and route.tags:\n                # Try to identify router by tags or other means\n                pass\n\n        # Since it's hard to identify routers directly from routes,\n        # we'll check that we have a reasonable number of routes\n        # Should have many routes from all routers\n        self.assertGreater(len(app.routes), 10)\n\n    def test_idata_router_included(self):\n        \"\"\"Test that idata_router is imported and included in the app.\"\"\"\n        # Verify that idata_router is imported\n        from apps.config_app import idata_router\n        self.assertIsNotNone(idata_router)\n\n        # Verify that the app has been properly initialized with routers\n        # The idata_router should be included, which means we should have routes\n        self.assertGreater(len(app.routes), 10)\n\n\nif __name__ == \"__main__\":\n    unittest.main()\n"
  },
  {
    "path": "test/backend/app/test_config_sync_app.py",
    "content": "import os\nimport sys\nfrom unittest.mock import patch, MagicMock\n\nimport pytest\nfrom fastapi import HTTPException\nfrom fastapi.responses import JSONResponse\n\n# Delayed imports: import inside each test to avoid import-time ordering issues\n\n# Dynamically determine the backend path\ncurrent_dir = os.path.dirname(os.path.abspath(__file__))\nbackend_dir = os.path.abspath(os.path.join(current_dir, \"../../../backend\"))\nsys.path.append(backend_dir)\n\n# Patch boto3 and other dependencies before importing anything from backend\nboto3_mock = MagicMock()\nsys.modules['boto3'] = boto3_mock\n\n# Apply critical patches before importing any modules\n# This prevents real AWS/MinIO/Elasticsearch calls during import\npatch('botocore.client.BaseClient._make_api_call', return_value={}).start()\n\n# Patch storage factory and MinIO config validation to avoid errors during initialization\n# These patches must be started before any imports that use MinioClient\nstorage_client_mock = MagicMock()\nminio_mock = MagicMock()\nminio_mock._ensure_bucket_exists = MagicMock()\nminio_mock.client = MagicMock()\npatch('nexent.storage.storage_client_factory.create_storage_client_from_config',\n      return_value=storage_client_mock).start()\npatch('nexent.storage.minio_config.MinIOStorageConfig.validate',\n      lambda self: None).start()\npatch('backend.database.client.MinioClient', return_value=minio_mock).start()\npatch('database.client.MinioClient', return_value=minio_mock).start()\npatch('backend.database.client.minio_client', minio_mock).start()\npatch('elasticsearch.Elasticsearch', return_value=MagicMock()).start()\n\n# Now we can safely import the function to test\n\n\n# Fixtures to replace setUp and tearDown\n\n\n@pytest.fixture\ndef config_mocks():\n    # Create fresh mocks for each test\n    with patch('backend.apps.config_sync_app.get_current_user_info') as mock_get_user_info, \\\n            patch('backend.apps.config_sync_app.get_current_user_id') as mock_get_current_user_id, \\\n            patch('backend.apps.config_sync_app.save_config_impl') as mock_save_config_impl, \\\n            patch('backend.apps.config_sync_app.load_config_impl') as mock_load_config_impl, \\\n            patch('backend.apps.config_sync_app.logger') as mock_logger:\n\n        yield {\n            'get_user_info': mock_get_user_info,\n            'get_current_user_id': mock_get_current_user_id,\n            'save_config_impl': mock_save_config_impl,\n            'load_config_impl': mock_load_config_impl,\n            'logger': mock_logger\n        }\n\n\n@pytest.mark.asyncio\nasync def test_load_config_success(config_mocks):\n    \"\"\"Test successful configuration loading\"\"\"\n    # Setup\n    mock_request = MagicMock()\n    mock_auth_header = \"Bearer test-token\"\n\n    # Mock user info\n    config_mocks['get_user_info'].return_value = (\n        \"test_user\", \"test_tenant\", \"en\")\n\n    # Mock service response - use JSON-serializable data instead of MagicMock\n    mock_config = {\"app\": {\"name\": \"Test App\"},\n                   \"models\": {\"model1\": {\"enabled\": True}}}\n    config_mocks['load_config_impl'].return_value = mock_config\n\n    # Execute\n    from backend.apps.config_sync_app import load_config\n    result = await load_config(mock_auth_header, mock_request)\n\n    # Assert\n    assert isinstance(result, JSONResponse)\n    assert result.status_code == 200\n\n    # Parse the JSON response body to verify content\n    import json\n    response_body = json.loads(result.body.decode())\n    assert response_body[\"config\"] == mock_config\n\n    config_mocks['get_user_info'].assert_called_once_with(\n        mock_auth_header, mock_request)\n    config_mocks['load_config_impl'].assert_called_once_with(\n        \"en\", \"test_tenant\")\n\n\n@pytest.mark.asyncio\nasync def test_load_config_chinese_language(config_mocks):\n    \"\"\"Test configuration loading with Chinese language\"\"\"\n    # Setup\n    mock_request = MagicMock()\n    mock_auth_header = \"Bearer test-token\"\n\n    # Mock user info with Chinese language\n    config_mocks['get_user_info'].return_value = (\n        \"test_user\", \"test_tenant\", \"zh\")\n\n    # Mock service response - use JSON-serializable data\n    mock_config = {\"app\": {\"language\": \"zh\"}, \"settings\": {\"theme\": \"dark\"}}\n    config_mocks['load_config_impl'].return_value = mock_config\n\n    # Execute\n    from backend.apps.config_sync_app import load_config\n    result = await load_config(mock_auth_header, mock_request)\n\n    # Assert\n    assert isinstance(result, JSONResponse)\n    assert result.status_code == 200\n\n    # Parse the JSON response body to verify content\n    import json\n    response_body = json.loads(result.body.decode())\n    assert response_body[\"config\"] == mock_config\n\n    config_mocks['get_user_info'].assert_called_once_with(\n        mock_auth_header, mock_request)\n    config_mocks['load_config_impl'].assert_called_once_with(\n        \"zh\", \"test_tenant\")\n\n\n@pytest.mark.asyncio\nasync def test_load_config_with_error(config_mocks):\n    \"\"\"Test configuration loading with error\"\"\"\n    # Setup\n    mock_request = MagicMock()\n    mock_auth_header = \"Bearer test-token\"\n\n    # Mock user info to raise an exception\n    config_mocks['get_user_info'].side_effect = Exception(\"Auth error\")\n\n    # Execute and Assert\n    from backend.apps.config_sync_app import load_config\n    with pytest.raises(HTTPException) as exc_info:\n        await load_config(mock_auth_header, mock_request)\n\n    assert exc_info.value.status_code == 400\n    assert \"Failed to load configuration\" in str(exc_info.value.detail)\n    config_mocks['logger'].error.assert_called_once()\n\n\n@pytest.mark.asyncio\nasync def test_save_config_success(config_mocks):\n    \"\"\"Test successful configuration saving\"\"\"\n    # Setup\n    mock_auth_header = \"Bearer test-token\"\n    global_config = MagicMock()\n\n    # Mock user and tenant ID\n    config_mocks['get_current_user_id'].return_value = (\n        \"test_user_id\", \"test_tenant_id\")\n\n    # Mock service response (save_config_impl doesn't need to return anything specific)\n    config_mocks['save_config_impl'].return_value = None\n\n    # Execute\n    from backend.apps.config_sync_app import save_config\n    result = await save_config(global_config, mock_auth_header)\n\n    # Assert\n    assert isinstance(result, JSONResponse)\n    assert result.status_code == 200\n\n    # Parse the JSON response body to verify content\n    import json\n    response_body = json.loads(result.body.decode())\n    assert response_body[\"status\"] == \"saved\"\n    assert \"Configuration saved successfully\" in response_body[\"message\"]\n\n    config_mocks['get_current_user_id'].assert_called_once_with(\n        mock_auth_header)\n    config_mocks['save_config_impl'].assert_called_once_with(\n        global_config, \"test_tenant_id\", \"test_user_id\")\n    config_mocks['logger'].info.assert_called_once()\n\n\n@pytest.mark.asyncio\nasync def test_save_config_with_error(config_mocks):\n    \"\"\"Test configuration saving with error\"\"\"\n    # Setup\n    mock_auth_header = \"Bearer test-token\"\n    global_config = MagicMock()\n\n    # Mock an exception when getting user ID\n    config_mocks['get_current_user_id'].side_effect = Exception(\n        \"Authentication failed\")\n\n    # Execute and Assert\n    from backend.apps.config_sync_app import save_config\n    with pytest.raises(HTTPException) as exc_info:\n        await save_config(global_config, mock_auth_header)\n\n    assert exc_info.value.status_code == 400\n    assert \"Failed to save configuration\" in str(exc_info.value.detail)\n    config_mocks['logger'].error.assert_called_once()\n\n\n@pytest.mark.asyncio\nasync def test_load_config_missing_language(config_mocks):\n    \"\"\"Test configuration loading with missing language parameter\"\"\"\n    # Setup\n    mock_request = MagicMock()\n    mock_auth_header = \"Bearer test-token\"\n\n    # Mock user info with None language\n    config_mocks['get_user_info'].return_value = (\n        \"test_user\", \"test_tenant\", None)\n\n    # Mock service response\n    mock_config = {\"app\": {\"name\": \"Test App\"}}\n    config_mocks['load_config_impl'].return_value = mock_config\n\n    # Execute\n    from backend.apps.config_sync_app import load_config\n    result = await load_config(mock_auth_header, mock_request)\n\n    # Assert\n    assert isinstance(result, JSONResponse)\n    assert result.status_code == 200\n\n    # Parse the JSON response body to verify content\n    import json\n    response_body = json.loads(result.body.decode())\n    assert response_body[\"config\"] == mock_config\n\n    config_mocks['get_user_info'].assert_called_once_with(\n        mock_auth_header, mock_request)\n    config_mocks['load_config_impl'].assert_called_once_with(\n        None, \"test_tenant\")\n\n\n@pytest.mark.asyncio\nasync def test_save_config_empty_auth_header(config_mocks):\n    \"\"\"Test configuration saving with empty authorization header\"\"\"\n    # Setup\n    mock_auth_header = \"\"  # Empty header\n    global_config = MagicMock()\n\n    # Mock user and tenant ID for empty auth\n    config_mocks['get_current_user_id'].return_value = (\n        \"anonymous_user\", \"default_tenant\")\n\n    # Execute\n    from backend.apps.config_sync_app import save_config\n    result = await save_config(global_config, mock_auth_header)\n\n    # Assert\n    assert isinstance(result, JSONResponse)\n    assert result.status_code == 200\n\n    config_mocks['get_current_user_id'].assert_called_once_with(\"\")\n\n\n@pytest.mark.asyncio\nasync def test_load_config_empty_auth_header(config_mocks):\n    \"\"\"Test configuration loading with empty authorization header\"\"\"\n    # Setup\n    mock_request = MagicMock()\n    mock_auth_header = \"\"  # Empty header\n\n    # Mock user info for empty auth\n    config_mocks['get_user_info'].return_value = (\n        \"anonymous_user\", \"default_tenant\", \"en\")\n\n    # Mock service response\n    mock_config = {\"app\": {\"name\": \"Default App\"}}\n    config_mocks['load_config_impl'].return_value = mock_config\n\n    # Execute\n    from backend.apps.config_sync_app import load_config\n    result = await load_config(mock_auth_header, mock_request)\n\n    # Assert\n    assert isinstance(result, JSONResponse)\n    assert result.status_code == 200\n\n    config_mocks['get_user_info'].assert_called_once_with(\n        \"\", mock_request)\n    config_mocks['load_config_impl'].assert_called_once_with(\n        \"en\", \"default_tenant\")\n"
  },
  {
    "path": "test/backend/app/test_conversation_management_app.py",
    "content": "import os\nimport sys\nfrom unittest.mock import patch, MagicMock\n\nimport pytest\nfrom fastapi import HTTPException\n\n# Dynamically determine the backend path\ncurrent_dir = os.path.dirname(os.path.abspath(__file__))\nbackend_dir = os.path.abspath(os.path.join(current_dir, \"../../../backend\"))\nsys.path.append(backend_dir)\n\n# Patch boto3 before importing backend modules (some services may rely on it)\nboto3_mock = MagicMock()\nsys.modules['boto3'] = boto3_mock\n\n# Apply critical patches before importing any modules\n# This prevents real AWS/MinIO/Elasticsearch calls during import\npatch('botocore.client.BaseClient._make_api_call', return_value={}).start()\n\n# Patch storage factory and MinIO config validation to avoid errors during initialization\n# These patches must be started before any imports that use MinioClient\nstorage_client_mock = MagicMock()\nminio_mock = MagicMock()\nminio_mock._ensure_bucket_exists = MagicMock()\nminio_mock.client = MagicMock()\npatch('nexent.storage.storage_client_factory.create_storage_client_from_config', return_value=storage_client_mock).start()\npatch('nexent.storage.minio_config.MinIOStorageConfig.validate', lambda self: None).start()\npatch('backend.database.client.MinioClient', return_value=minio_mock).start()\npatch('database.client.MinioClient', return_value=minio_mock).start()\npatch('backend.database.client.minio_client', minio_mock).start()\npatch('elasticsearch.Elasticsearch', return_value=MagicMock()).start()\n\n# Import target endpoints with all external dependencies patched\nfrom backend.apps.conversation_management_app import (\n    create_new_conversation_endpoint,\n    list_conversations_endpoint,\n    rename_conversation_endpoint,\n    delete_conversation_endpoint,\n    get_conversation_history_endpoint,\n    get_sources_endpoint,\n    generate_conversation_title_endpoint,\n    update_opinion_endpoint,\n    get_message_id_endpoint,\n)\n\n\n# -----------------------------\n# Fixtures\n# -----------------------------\n\n@pytest.fixture\ndef conversation_mocks():\n    \"\"\"Provide fresh mocks for each conversation management test\"\"\"\n    with patch('backend.apps.conversation_management_app.get_current_user_id') as mock_get_current_user_id, \\\n            patch('backend.apps.conversation_management_app.create_new_conversation') as mock_create_new_conv, \\\n            patch('backend.apps.conversation_management_app.get_conversation_list_service') as mock_get_conv_list, \\\n            patch('backend.apps.conversation_management_app.rename_conversation_service') as mock_rename_conv, \\\n            patch('backend.apps.conversation_management_app.logging') as mock_logging, \\\n            patch('backend.apps.conversation_management_app.delete_conversation_service') as mock_delete_conv, \\\n            patch('backend.apps.conversation_management_app.get_conversation_history_service') as mock_history_service, \\\n            patch('backend.apps.conversation_management_app.get_sources_service') as mock_sources_service, \\\n            patch('backend.apps.conversation_management_app.generate_conversation_title_service') as mock_generate_title_service, \\\n            patch('backend.apps.conversation_management_app.update_message_opinion_service') as mock_update_opinion_service, \\\n            patch('backend.apps.conversation_management_app.get_message_id_by_index_impl') as mock_get_msg_id_impl, \\\n            patch('backend.apps.conversation_management_app.get_current_user_info') as mock_get_user_info:\n\n        yield {\n            'get_current_user_id': mock_get_current_user_id,\n            'create_new_convo': mock_create_new_conv,\n            'get_conversation_list': mock_get_conv_list,\n            'rename_conversation': mock_rename_conv,\n            'logging': mock_logging,\n            'delete_conversation': mock_delete_conv,\n            'history_service': mock_history_service,\n            'sources_service': mock_sources_service,\n            'generate_title_service': mock_generate_title_service,\n            'update_opinion_service': mock_update_opinion_service,\n            'get_message_id_impl': mock_get_msg_id_impl,\n            'get_user_info': mock_get_user_info,\n        }\n\n\n# -----------------------------\n# Test Cases\n# -----------------------------\n\n@pytest.mark.asyncio\nasync def test_create_new_conversation_success(conversation_mocks):\n    \"\"\"Verify successful conversation creation\"\"\"\n    # Arrange\n    mock_auth_header = \"Bearer test-token\"\n    conversation_title = \"New Conversation\"\n    dummy_response = {\n        \"conversation_id\": 1,\n        \"conversation_title\": conversation_title,\n        \"create_time\": 1234567890,\n        \"update_time\": 1234567890,\n    }\n\n    # Setup mocks\n    conversation_mocks['get_current_user_id'].return_value = (\n        \"user_id\", \"tenant_id\")\n    conversation_mocks['create_new_convo'].return_value = dummy_response\n\n    # Use a simple object with a .title attribute to satisfy the endpoint signature\n    request_obj = MagicMock()\n    request_obj.title = conversation_title\n\n    # Act\n    result = await create_new_conversation_endpoint(request_obj, authorization=mock_auth_header)\n\n    # Assert\n    assert result.code == 0\n    assert result.data == dummy_response\n    conversation_mocks['get_current_user_id'].assert_called_once_with(\n        mock_auth_header)\n    conversation_mocks['create_new_convo'].assert_called_once_with(\n        conversation_title, \"user_id\")\n\n\n@pytest.mark.asyncio\nasync def test_create_new_conversation_failure(conversation_mocks):\n    \"\"\"Verify endpoint handles exception during conversation creation\"\"\"\n    mock_auth_header = \"Bearer test-token\"\n    conversation_title = \"New Conversation\"\n\n    # Setup mocks\n    conversation_mocks['get_current_user_id'].return_value = (\n        \"user_id\", \"tenant_id\")\n    conversation_mocks['create_new_convo'].side_effect = Exception(\n        \"creation error\")\n\n    request_obj = MagicMock()\n    request_obj.title = conversation_title\n\n    with pytest.raises(HTTPException) as exc_info:\n        await create_new_conversation_endpoint(request_obj, authorization=mock_auth_header)\n\n    assert exc_info.value.status_code == 500\n    assert \"creation error\" in str(exc_info.value.detail)\n    conversation_mocks['logging'].error.assert_called_once()\n\n\n@pytest.mark.asyncio\nasync def test_list_conversations_success(conversation_mocks):\n    \"\"\"Verify successful retrieval of conversation list\"\"\"\n    # Arrange\n    mock_auth_header = \"Bearer test-token\"\n    dummy_list = [\n        {\"conversation_id\": 1, \"conversation_title\": \"Chat 1\"},\n        {\"conversation_id\": 2, \"conversation_title\": \"Chat 2\"},\n    ]\n\n    conversation_mocks['get_current_user_id'].return_value = (\n        \"user_id\", \"tenant_id\")\n    conversation_mocks['get_conversation_list'].return_value = dummy_list\n\n    # Act\n    result = await list_conversations_endpoint(authorization=mock_auth_header)\n\n    # Assert\n    assert result.code == 0\n    assert result.data == dummy_list\n    conversation_mocks['get_current_user_id'].assert_called_once_with(\n        mock_auth_header)\n    conversation_mocks['get_conversation_list'].assert_called_once_with(\n        \"user_id\")\n\n\n@pytest.mark.asyncio\nasync def test_list_conversations_unauthorized(conversation_mocks):\n    \"\"\"Ensure unauthorized access raises HTTPException\"\"\"\n    # Arrange\n    mock_auth_header = \"Bearer invalid-token\"\n    conversation_mocks['get_current_user_id'].return_value = (None, None)\n\n    # Act / Assert\n    with pytest.raises(HTTPException) as exc_info:\n        await list_conversations_endpoint(authorization=mock_auth_header)\n\n    assert exc_info.value.status_code == 500\n    assert \"Unauthorized access\" in str(exc_info.value.detail)\n\n\n@pytest.mark.asyncio\nasync def test_rename_conversation_success(conversation_mocks):\n    \"\"\"Verify successful conversation rename\"\"\"\n    # Arrange\n    mock_auth_header = \"Bearer test-token\"\n    conversation_id = 1\n    new_title = \"Renamed Conversation\"\n\n    # Setup mocks\n    conversation_mocks['get_current_user_id'].return_value = (\n        \"user_id\", \"tenant_id\")\n    # rename_conversation_service returns None, indicating success\n\n    # Create a request-like object with required attributes\n    request_obj = MagicMock()\n    request_obj.conversation_id = conversation_id\n    request_obj.name = new_title\n\n    # Act\n    result = await rename_conversation_endpoint(request_obj, authorization=mock_auth_header)\n\n    # Assert\n    assert result.code == 0\n    assert result.data is True\n    conversation_mocks['get_current_user_id'].assert_called_once_with(\n        mock_auth_header)\n    conversation_mocks['rename_conversation'].assert_called_once_with(\n        conversation_id, new_title, \"user_id\")\n\n\n# -----------------------------\n# Error Case for Rename\n# -----------------------------\n\n\n@pytest.mark.asyncio\nasync def test_rename_conversation_failure(conversation_mocks):\n    \"\"\"Verify rename endpoint handles exceptions correctly\"\"\"\n    # Arrange\n    mock_auth_header = \"Bearer test-token\"\n    conversation_id = 1\n    new_title = \"Broken Title\"\n\n    # Setup mocks\n    conversation_mocks['get_current_user_id'].return_value = (\n        \"user_id\", \"tenant_id\")\n    conversation_mocks['rename_conversation'].side_effect = Exception(\n        \"DB error\")\n\n    request_obj = MagicMock()\n    request_obj.conversation_id = conversation_id\n    request_obj.name = new_title\n\n    # Act / Assert\n    with pytest.raises(HTTPException) as exc_info:\n        await rename_conversation_endpoint(request_obj, authorization=mock_auth_header)\n\n    assert exc_info.value.status_code == 500\n    assert \"DB error\" in str(exc_info.value.detail)\n    conversation_mocks['logging'].error.assert_called_once()\n\n\n# -----------------------------\n# Additional Endpoints Tests\n# -----------------------------\n\n\n# delete_conversation_endpoint\n\n\n@pytest.mark.asyncio\nasync def test_delete_conversation_success(conversation_mocks):\n    mock_auth_header = \"Bearer test-token\"\n    conversation_id = 1\n\n    conversation_mocks['get_current_user_id'].return_value = (\n        \"user_id\", \"tenant_id\")\n\n    result = await delete_conversation_endpoint(conversation_id, authorization=mock_auth_header)\n\n    assert result.code == 0 and result.data is True\n    conversation_mocks['delete_conversation'].assert_called_once_with(\n        conversation_id, \"user_id\")\n\n\n@pytest.mark.asyncio\nasync def test_delete_conversation_failure(conversation_mocks):\n    mock_auth_header = \"Bearer test-token\"\n    conversation_id = 1\n\n    conversation_mocks['get_current_user_id'].return_value = (\n        \"user_id\", \"tenant_id\")\n    conversation_mocks['delete_conversation'].side_effect = Exception(\n        \"delete error\")\n\n    with pytest.raises(HTTPException) as exc_info:\n        await delete_conversation_endpoint(conversation_id, authorization=mock_auth_header)\n\n    assert exc_info.value.status_code == 500\n    conversation_mocks['logging'].error.assert_called_once()\n\n\n# get_conversation_history_endpoint\n\n\n@pytest.mark.asyncio\nasync def test_get_history_success(conversation_mocks):\n    mock_auth_header = \"Bearer test-token\"\n    conversation_id = 1\n    dummy_history = [\n        {\"role\": \"user\", \"content\": \"hi\"},\n        {\"role\": \"assistant\", \"content\": \"hello\"},\n    ]\n\n    conversation_mocks['get_current_user_id'].return_value = (\n        \"user_id\", \"tenant_id\")\n    conversation_mocks['history_service'].return_value = dummy_history\n\n    result = await get_conversation_history_endpoint(conversation_id, authorization=mock_auth_header)\n\n    assert result.code == 0 and result.data == dummy_history\n    conversation_mocks['history_service'].assert_called_once_with(\n        conversation_id, \"user_id\")\n\n\n@pytest.mark.asyncio\nasync def test_get_history_failure(conversation_mocks):\n    mock_auth_header = \"Bearer test-token\"\n    conversation_id = 1\n    conversation_mocks['get_current_user_id'].return_value = (\n        \"user_id\", \"tenant_id\")\n    conversation_mocks['history_service'].side_effect = Exception(\n        \"history error\")\n\n    with pytest.raises(HTTPException) as exc_info:\n        await get_conversation_history_endpoint(conversation_id, authorization=mock_auth_header)\n\n    assert exc_info.value.status_code == 500\n    conversation_mocks['logging'].error.assert_called_once()\n\n\n# get_sources_endpoint\n\n\n@pytest.mark.asyncio\nasync def test_get_sources_success(conversation_mocks):\n    mock_auth_header = \"Bearer test-token\"\n    req_body = {\"conversation_id\": 1, \"message_id\": 2, \"type\": \"all\"}\n    dummy_sources = {\"images\": [], \"search\": []}\n\n    conversation_mocks['get_current_user_id'].return_value = (\n        \"user_id\", \"tenant_id\")\n    conversation_mocks['sources_service'].return_value = dummy_sources\n\n    result = await get_sources_endpoint(req_body, authorization=mock_auth_header)\n\n    assert result == dummy_sources\n    conversation_mocks['sources_service'].assert_called_once_with(\n        1, 2, \"all\", \"user_id\")\n\n\n@pytest.mark.asyncio\nasync def test_get_sources_failure(conversation_mocks):\n    mock_auth_header = \"Bearer test-token\"\n    req_body = {\"conversation_id\": 1, \"message_id\": 2}\n\n    conversation_mocks['get_current_user_id'].return_value = (\n        \"user_id\", \"tenant_id\")\n    conversation_mocks['sources_service'].side_effect = Exception(\"src error\")\n\n    with pytest.raises(HTTPException) as exc_info:\n        await get_sources_endpoint(req_body, authorization=mock_auth_header)\n\n    assert exc_info.value.status_code == 500\n    conversation_mocks['logging'].error.assert_called_once()\n\n\n# generate_conversation_title_endpoint\n\n\n@pytest.mark.asyncio\nasync def test_generate_title_success(conversation_mocks):\n    mock_auth_header = \"Bearer test-token\"\n    conversation_id = 1\n    question = \"How to use Python effectively?\"\n    dummy_title = \"Python Tips\"\n\n    # get_current_user_info returns (user_id, tenant_id, language)\n    conversation_mocks['get_user_info'].return_value = (\n        \"user_id\", \"tenant_id\", \"en\")\n    conversation_mocks['generate_title_service'].return_value = dummy_title\n\n    request_obj = MagicMock()\n    request_obj.conversation_id = conversation_id\n    request_obj.question = question\n\n    http_request = MagicMock()\n\n    result = await generate_conversation_title_endpoint(request_obj, http_request, authorization=mock_auth_header)\n\n    assert result.code == 0 and result.data == dummy_title\n    conversation_mocks['generate_title_service'].assert_called_once_with(\n        conversation_id, question, \"user_id\", tenant_id=\"tenant_id\", language=\"en\")\n\n\n@pytest.mark.asyncio\nasync def test_generate_title_failure(conversation_mocks):\n    mock_auth_header = \"Bearer test-token\"\n    request_obj = MagicMock()\n    request_obj.conversation_id = 1\n    request_obj.question = \"Test question\"\n    http_request = MagicMock()\n\n    conversation_mocks['get_user_info'].side_effect = Exception(\"auth fail\")\n\n    with pytest.raises(HTTPException) as exc_info:\n        await generate_conversation_title_endpoint(request_obj, http_request, authorization=mock_auth_header)\n\n    assert exc_info.value.status_code == 500\n    conversation_mocks['logging'].error.assert_called_once()\n\n\n# update_opinion_endpoint\n\n\n@pytest.mark.asyncio\nasync def test_update_opinion_success(conversation_mocks):\n    request_obj = MagicMock()\n    request_obj.message_id = 5\n    request_obj.opinion = \"like\"\n\n    result = await update_opinion_endpoint(request_obj)\n\n    assert result.code == 0 and result.data is True\n    conversation_mocks['update_opinion_service'].assert_called_once_with(\n        5, \"like\")\n\n\n@pytest.mark.asyncio\nasync def test_update_opinion_failure(conversation_mocks):\n    request_obj = MagicMock()\n    request_obj.message_id = 5\n    request_obj.opinion = \"like\"\n\n    conversation_mocks['update_opinion_service'].side_effect = Exception(\n        \"opinion error\")\n\n    with pytest.raises(HTTPException) as exc_info:\n        await update_opinion_endpoint(request_obj)\n\n    assert exc_info.value.status_code == 500\n    conversation_mocks['logging'].error.assert_called_once()\n\n\n# get_message_id_endpoint\n\n\n@pytest.mark.asyncio\nasync def test_get_message_id_success(conversation_mocks):\n    request_obj = MagicMock()\n    request_obj.conversation_id = 1\n    request_obj.message_index = 3\n\n    conversation_mocks['get_message_id_impl'].return_value = 99\n\n    result = await get_message_id_endpoint(request_obj)\n\n    assert result.code == 0 and result.data == 99\n    conversation_mocks['get_message_id_impl'].assert_called_once_with(\n        request_obj.conversation_id, request_obj.message_index)\n\n\n@pytest.mark.asyncio\nasync def test_get_message_id_failure(conversation_mocks):\n    request_obj = MagicMock()\n    request_obj.conversation_id = 1\n    request_obj.message_index = 3\n\n    conversation_mocks['get_message_id_impl'].side_effect = Exception(\n        \"msg id error\")\n\n    with pytest.raises(HTTPException) as exc_info:\n        await get_message_id_endpoint(request_obj)\n\n    assert exc_info.value.status_code == 500\n    conversation_mocks['logging'].error.assert_called_once()\n"
  },
  {
    "path": "test/backend/app/test_data_process_app.py",
    "content": "import sys\nimport types\nfrom typing import Any, Dict, List, Optional, Tuple\nfrom http import HTTPStatus\n\nimport pytest\nfrom fastapi import FastAPI, HTTPException\nfrom fastapi.testclient import TestClient\nfrom pydantic import BaseModel\n\n# Install consts.exceptions at module level so OfficeConversionException is bound\n# in the app module's namespace on first import.\n_exc_mod = types.ModuleType(\"consts.exceptions\")\n\n\nclass _OfficeConversionException(Exception):\n    \"\"\"Stub exception for Office document conversion failures.\"\"\"\n\n\n_exc_mod.OfficeConversionException = _OfficeConversionException  # type: ignore[attr-defined]\nsys.modules[\"consts.exceptions\"] = _exc_mod\n\n\nclass _TaskRequest(BaseModel):\n    source: str\n    source_type: str\n    chunking_strategy: str = \"basic\"\n    index_name: Optional[str] = None\n    original_filename: Optional[str] = None\n    embedding_model_id: Optional[int] = None\n    tenant_id: Optional[str] = None\n\n\nclass _BatchTaskRequest(BaseModel):\n    sources: List[_TaskRequest]\n\n\nclass _ConvertStateRequest(BaseModel):\n    process_state: Optional[str] = None\n    forward_state: Optional[str] = None\n\n\nclass _DummyResult:\n    def __init__(self, id_: str, payload: Optional[Dict[str, Any]] = None, exc: Optional[Exception] = None):\n        self.id = id_\n        self._payload = payload or {}\n        self._exc = exc\n\n    def get(self, timeout: Optional[int] = None):\n        if self._exc:\n            raise self._exc\n        return self._payload\n\n\nclass _TasksStub:\n    def __init__(self):\n        self._delay_result = _DummyResult(\"task-stub-id\", payload={})\n        self._apply_async_result = _DummyResult(\n            \"task-sync-id\",\n            payload={\n                \"text\": \"hello world\",\n                \"chunks\": [{\"content\": \"hello\"}],\n                \"chunks_count\": 1,\n                \"processing_time\": 0.1,\n                \"text_length\": 11,\n            },\n        )\n\n    def process_and_forward_delay(self, **kwargs):\n        return self._delay_result\n\n    def process_sync_apply_async(self, **kwargs):\n        return self._apply_async_result\n\n\nclass _ServiceStub:\n    def __init__(self):\n        self.started = False\n        self.stopped = False\n\n    async def start(self):\n        self.started = True\n\n    async def stop(self):\n        self.stopped = True\n\n    async def create_batch_tasks_impl(self, authorization: Optional[str], request: _BatchTaskRequest) -> List[str]:\n        return [f\"tid-{i}\" for i, _ in enumerate(request.sources, start=1)]\n\n    async def load_image(self, url: str):\n        if url == \"none\":\n            return None\n        return object()\n\n    async def convert_to_base64(self, image: object) -> Tuple[str, str]:\n        return (\"ZmFrZSBiYXNlNjQ=\", \"image/png\")\n\n    async def get_all_tasks(self) -> List[Dict[str, Any]]:\n        return [\n            {\n                \"id\": \"1\",\n                \"task_name\": \"process\",\n                \"index_name\": \"idx\",\n                \"path_or_url\": \"/p1\",\n                \"original_filename\": \"f1.txt\",\n                \"source_type\": \"local\",\n                \"status\": \"STARTED\",\n                \"created_at\": 1,\n                \"updated_at\": 2,\n                \"error\": \"\",\n            },\n            {\n                \"id\": \"2\",\n                \"task_name\": \"forward\",\n                \"index_name\": \"idx\",\n                \"path_or_url\": \"/p1\",\n                \"original_filename\": \"f1.txt\",\n                \"source_type\": \"local\",\n                \"status\": \"SUCCESS\",\n                \"created_at\": 3,\n                \"updated_at\": 4,\n                \"error\": \"\",\n            },\n        ]\n\n    async def get_index_tasks(self, index_name: str):\n        if index_name == \"boom\":\n            raise RuntimeError(\"oops\")\n        return [{\"id\": \"x\"}]\n\n    async def get_task_details(self, task_id: str):\n        if task_id == \"missing\":\n            return None\n        return {\"id\": task_id, \"ok\": True}\n\n    async def filter_important_image(self, image_url: str, positive_prompt: str, negative_prompt: str):\n        if image_url == \"err\":\n            raise RuntimeError(\"bad\")\n        return {\"important\": True, \"score\": 0.9}\n\n    async def process_uploaded_text_file(self, file_content: bytes, filename: str, chunking_strategy: str):\n        if filename == \"err.bin\":\n            raise RuntimeError(\"bad file\")\n        return {\"filename\": filename, \"text\": file_content.decode(errors=\"ignore\")}\n\n    def convert_celery_states_to_custom(self, process_celery_state: str, forward_celery_state: str) -> str:\n        if process_celery_state == \"SUCCESS\" and forward_celery_state == \"SUCCESS\":\n            return \"COMPLETED\"\n        return \"WAIT_FOR_PROCESSING\"\n\n    async def convert_office_to_pdf_impl(self, object_name: str, pdf_object_name: str) -> None:\n        \"\"\"Stub: raise OfficeConversionException for sentinel inputs, otherwise succeed.\"\"\"\n        from consts.exceptions import OfficeConversionException\n        if object_name == \"fail.docx\":\n            raise OfficeConversionException(\"conversion failed\")\n        if object_name == \"err.docx\":\n            raise RuntimeError(\"unexpected error\")\n\n\n@pytest.fixture(autouse=True)\ndef stub_modules(monkeypatch):\n    # consts.model\n    model_mod = types.ModuleType(\"consts.model\")\n    setattr(model_mod, \"TaskRequest\", _TaskRequest)\n    setattr(model_mod, \"BatchTaskRequest\", _BatchTaskRequest)\n    setattr(model_mod, \"ConvertStateRequest\", _ConvertStateRequest)\n    sys.modules[\"consts.model\"] = model_mod\n\n    # data_process.tasks\n    tasks_mod = types.ModuleType(\"data_process.tasks\")\n    _tasks = _TasksStub()\n    class _PAndF:\n        def delay(self, **kwargs):\n            return _tasks.process_and_forward_delay(**kwargs)\n    class _PSync:\n        def apply_async(self, **kwargs):\n            return _tasks.process_sync_apply_async(**kwargs)\n    setattr(tasks_mod, \"process_and_forward\", _PAndF())\n    setattr(tasks_mod, \"process_sync\", _PSync())\n    sys.modules[\"data_process.tasks\"] = tasks_mod\n\n    # services.data_process_service\n    service_stub = _ServiceStub()\n    svc_mod = types.ModuleType(\"services.data_process_service\")\n    setattr(svc_mod, \"get_data_process_service\", lambda: service_stub)\n    sys.modules[\"services.data_process_service\"] = svc_mod\n\n    # data_process.utils\n    utils_mod = types.ModuleType(\"data_process.utils\")\n    async def get_task_details(task_id: str):\n        if task_id == \"missing\":\n            return None\n        return {\"id\": task_id, \"ok\": True}\n    setattr(utils_mod, \"get_task_details\", get_task_details)\n    sys.modules[\"data_process.utils\"] = utils_mod\n\n    # yield to tests\n    yield\n\n\ndef _build_app():\n    from backend.apps import data_process_app as app_module\n    app = FastAPI()\n    app.include_router(app_module.router)\n    return app\n\n\ndef test_create_task_success():\n    app = _build_app()\n    client = TestClient(app)\n    payload = {\n        \"source\": \"/tmp/a.txt\",\n        \"source_type\": \"local\",\n        \"chunking_strategy\": \"basic\",\n        \"index_name\": \"idx\",\n        \"original_filename\": \"a.txt\",\n    }\n    resp = client.post(\"/tasks\", json=payload, headers={\"Authorization\": \"Bearer t\"})\n    assert resp.status_code == 201\n    assert resp.json()[\"task_id\"] == \"task-stub-id\"\n\n\ndef test_process_sync_endpoint_success():\n    app = _build_app()\n    client = TestClient(app)\n    resp = client.post(\n        \"/tasks/process\",\n        data={\"source\": \"/tmp/a.txt\", \"source_type\": \"local\", \"chunking_strategy\": \"basic\", \"timeout\": 5},\n    )\n    body = resp.json()\n    assert resp.status_code == 200\n    assert body[\"success\"] is True\n    assert body[\"task_id\"] == \"task-sync-id\"\n    assert body[\"chunks_count\"] == 1\n\n\ndef test_process_sync_endpoint_error(monkeypatch):\n    # Reconfigure tasks stub to raise when getting result\n    from backend.apps import data_process_app as app_module\n\n    class _ErrResult(_DummyResult):\n        def get(self, timeout=None):\n            raise RuntimeError(\"boom\")\n\n    class _PSyncErr:\n        def apply_async(self, **kwargs):\n            return _ErrResult(\"tid\")\n\n    monkeypatch.setattr(app_module, \"process_sync\", _PSyncErr(), raising=True)\n\n    app = _build_app()\n    client = TestClient(app)\n    resp = client.post(\n        \"/tasks/process\",\n        data={\"source\": \"/tmp/a.txt\", \"source_type\": \"local\"},\n    )\n    assert resp.status_code == 500\n\n\ndef test_process_sync_endpoint_http_exception(monkeypatch):\n    from backend.apps import data_process_app as app_module\n\n    class _PSyncHTTP:\n        def apply_async(self, **kwargs):\n            raise HTTPException(\n                status_code=HTTPStatus.BAD_REQUEST, detail=\"bad req\")\n\n    monkeypatch.setattr(app_module, \"process_sync\", _PSyncHTTP(), raising=True)\n\n    app = _build_app()\n    client = TestClient(app)\n    resp = client.post(\n        \"/tasks/process\",\n        data={\"source\": \"/tmp/a.txt\", \"source_type\": \"local\"},\n    )\n    assert resp.status_code == HTTPStatus.BAD_REQUEST\n\n\ndef test_batch_tasks_success():\n    app = _build_app()\n    client = TestClient(app)\n    payload = {\n        \"sources\": [\n            {\"source\": \"s1\", \"source_type\": \"local\"},\n            {\"source\": \"s2\", \"source_type\": \"minio\"},\n        ]\n    }\n    resp = client.post(\"/tasks/batch\", json=payload, headers={\"Authorization\": \"Bearer t\"})\n    assert resp.status_code == 201\n    assert resp.json()[\"task_ids\"] == [\"tid-1\", \"tid-2\"]\n\n\ndef test_batch_tasks_error(monkeypatch):\n    # Make service raise\n    from backend.apps import data_process_app as app_module\n\n    async def err(*args, **kwargs):\n        raise RuntimeError(\"x\")\n\n    monkeypatch.setattr(app_module.service,\n                        \"create_batch_tasks_impl\", err, raising=True)\n\n    app = _build_app()\n    client = TestClient(app)\n    resp = client.post(\"/tasks/batch\", json={\"sources\": []}, headers={\"Authorization\": \"Bearer t\"})\n    assert resp.status_code == 500\n\n\ndef test_batch_tasks_http_exception(monkeypatch):\n    from backend.apps import data_process_app as app_module\n\n    async def err_http(*args, **kwargs):\n        raise HTTPException(\n            status_code=HTTPStatus.NOT_ACCEPTABLE, detail=\"bad batch\")\n\n    monkeypatch.setattr(app_module.service,\n                        \"create_batch_tasks_impl\", err_http, raising=True)\n\n    app = _build_app()\n    client = TestClient(app)\n    resp = client.post(\n        \"/tasks/batch\", json={\"sources\": []}, headers={\"Authorization\": \"Bearer t\"})\n    assert resp.status_code == HTTPStatus.NOT_ACCEPTABLE\n\n\ndef test_load_image_success_and_not_found():\n    app = _build_app()\n    client = TestClient(app)\n    ok = client.get(\"/tasks/load_image\", params={\"url\": \"u\"})\n    assert ok.status_code == 200\n    assert ok.json()[\"success\"] is True\n    nf = client.get(\"/tasks/load_image\", params={\"url\": \"none\"})\n    assert nf.status_code == 404\n\n\ndef test_load_image_internal_error(monkeypatch):\n    from backend.apps import data_process_app as app_module\n\n    async def err(url: str):\n        raise RuntimeError(\"bad\")\n\n    monkeypatch.setattr(app_module.service, \"load_image\", err, raising=True)\n    app = _build_app()\n    client = TestClient(app)\n    resp = client.get(\"/tasks/load_image\", params={\"url\": \"x\"})\n    assert resp.status_code == 500\n\n\ndef test_filter_important_image_http_exception(monkeypatch):\n    from backend.apps import data_process_app as app_module\n\n    async def err_http(*args, **kwargs):\n        raise HTTPException(\n            status_code=HTTPStatus.BAD_REQUEST, detail=\"bad image\")\n\n    monkeypatch.setattr(app_module.service,\n                        \"filter_important_image\", err_http, raising=True)\n\n    app = _build_app()\n    client = TestClient(app)\n    resp = client.post(\n        \"/tasks/filter_important_image\",\n        data={\"image_url\": \"u\"},\n    )\n    assert resp.status_code == HTTPStatus.BAD_REQUEST\n\n\ndef test_list_tasks():\n    app = _build_app()\n    client = TestClient(app)\n    resp = client.get(\"/tasks\")\n    assert resp.status_code == 200\n    body = resp.json()\n    assert \"tasks\" in body and len(body[\"tasks\"]) == 2\n\n\ndef test_get_index_tasks_success_and_error():\n    app = _build_app()\n    client = TestClient(app)\n    ok = client.get(\"/tasks/indices/idx\")\n    assert ok.status_code == 200\n    err = client.get(\"/tasks/indices/boom\")\n    assert err.status_code == 500\n\n\ndef test_get_task_details_success_and_404():\n    app = _build_app()\n    client = TestClient(app)\n    ok = client.get(\"/tasks/abc/details\")\n    assert ok.status_code == 200 and ok.json()[\"ok\"] is True\n    nf = client.get(\"/tasks/missing/details\")\n    assert nf.status_code == 404\n\n\ndef test_filter_important_image_success_and_error():\n    app = _build_app()\n    client = TestClient(app)\n    ok = client.post(\n        \"/tasks/filter_important_image\",\n        data={\"image_url\": \"u\", \"positive_prompt\": \"p\", \"negative_prompt\": \"n\"},\n    )\n    assert ok.status_code == 200 and ok.json()[\"important\"] is True\n    err = client.post(\n        \"/tasks/filter_important_image\",\n        data={\"image_url\": \"err\", \"positive_prompt\": \"p\", \"negative_prompt\": \"n\"},\n    )\n    assert err.status_code == 500\n\n\ndef test_process_text_file_success_and_error(tmp_path):\n    app = _build_app()\n    client = TestClient(app)\n    # success\n    files = {\"file\": (\"a.txt\", b\"hello\", \"text/plain\")}\n    ok = client.post(\"/tasks/process_text_file\", files=files, data={\"chunking_strategy\": \"basic\"})\n    assert ok.status_code == 200\n    # error branch\n    files = {\"file\": (\"err.bin\", b\"data\", \"application/octet-stream\")}\n    bad = client.post(\"/tasks/process_text_file\", files=files, data={\"chunking_strategy\": \"basic\"})\n    assert bad.status_code == 500\n\n\ndef test_process_text_file_http_exception(monkeypatch):\n    from backend.apps import data_process_app as app_module\n\n    async def err_http(*args, **kwargs):\n        raise HTTPException(\n            status_code=HTTPStatus.UNPROCESSABLE_ENTITY, detail=\"bad file\")\n\n    monkeypatch.setattr(app_module.service,\n                        \"process_uploaded_text_file\", err_http, raising=True)\n\n    app = _build_app()\n    client = TestClient(app)\n    files = {\"file\": (\"x.txt\", b\"hello\", \"text/plain\")}\n    resp = client.post(\"/tasks/process_text_file\", files=files,\n                       data={\"chunking_strategy\": \"basic\"})\n    assert resp.status_code == HTTPStatus.UNPROCESSABLE_ENTITY\n\n\ndef test_convert_state_success_and_error(monkeypatch):\n    app = _build_app()\n    client = TestClient(app)\n    ok = client.post(\"/tasks/convert_state\", json={\"process_state\": \"SUCCESS\", \"forward_state\": \"SUCCESS\"})\n    assert ok.status_code == 200 and ok.json()[\"state\"] == \"COMPLETED\"\n\n    # Make service raise\n    from backend.apps import data_process_app as app_module\n    def raise_convert(*args, **kwargs):\n        raise RuntimeError(\"x\")\n    monkeypatch.setattr(\n        app_module.service, \"convert_celery_states_to_custom\", raise_convert, raising=True)\n    err = client.post(\"/tasks/convert_state\", json={\"process_state\": \"PENDING\", \"forward_state\": \"\"})\n    assert err.status_code == 500\n\n\ndef test_convert_state_http_exception(monkeypatch):\n    app = _build_app()\n    client = TestClient(app)\n\n    from backend.apps import data_process_app as app_module\n\n    def raise_convert_http(*args, **kwargs):\n        raise HTTPException(\n            status_code=HTTPStatus.NOT_ACCEPTABLE, detail=\"bad convert\")\n\n    monkeypatch.setattr(\n        app_module.service, \"convert_celery_states_to_custom\", raise_convert_http, raising=True\n    )\n\n    resp = client.post(\"/tasks/convert_state\",\n                       json={\"process_state\": \"PENDING\", \"forward_state\": \"\"})\n    assert resp.status_code == HTTPStatus.NOT_ACCEPTABLE\n\n\ndef test_convert_to_pdf_success():\n    \"\"\"Valid request returns 200 {success: True}.\"\"\"\n    app = _build_app()\n    client = TestClient(app)\n    resp = client.post(\n        \"/tasks/convert_to_pdf\",\n        data={\"object_name\": \"uploads/doc.docx\", \"pdf_object_name\": \"converted/doc.pdf\"},\n    )\n    assert resp.status_code == HTTPStatus.OK\n    assert resp.json()[\"success\"] is True\n\n\ndef test_convert_to_pdf_office_conversion_exception(monkeypatch):\n    \"\"\"OfficeConversionException from service maps to HTTP 500.\"\"\"\n    app = _build_app()\n    client = TestClient(app)\n    # Trigger the sentinel path in _ServiceStub\n    resp = client.post(\n        \"/tasks/convert_to_pdf\",\n        data={\"object_name\": \"fail.docx\", \"pdf_object_name\": \"converted/fail.pdf\"},\n    )\n    assert resp.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n    assert \"conversion failed\" in resp.json()[\"detail\"]\n\n\ndef test_convert_to_pdf_unexpected_exception():\n    \"\"\"Unexpected RuntimeError from service also maps to HTTP 500.\"\"\"\n    app = _build_app()\n    client = TestClient(app)\n    resp = client.post(\n        \"/tasks/convert_to_pdf\",\n        data={\"object_name\": \"err.docx\", \"pdf_object_name\": \"converted/err.pdf\"},\n    )\n    assert resp.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n\n\ndef test_convert_to_pdf_missing_params():\n    \"\"\"Missing required form fields returns HTTP 422 Unprocessable Entity.\"\"\"\n    app = _build_app()\n    client = TestClient(app)\n    resp = client.post(\"/tasks/convert_to_pdf\", data={})\n    assert resp.status_code == HTTPStatus.UNPROCESSABLE_ENTITY\n"
  },
  {
    "path": "test/backend/app/test_datamate_app.py",
    "content": "import sys\nimport os\nfrom unittest.mock import patch, MagicMock, AsyncMock, call\n\nimport pytest\nfrom fastapi import HTTPException\nfrom fastapi.responses import JSONResponse\nfrom http import HTTPStatus\n\n# Add backend directory to Python path for proper imports\n# This ensures that backend modules can be imported correctly\nproject_root = os.path.abspath(os.path.join(\n    os.path.dirname(__file__), '../../../'))\nbackend_dir = os.path.join(project_root, 'backend')\nif backend_dir not in sys.path:\n    sys.path.insert(0, backend_dir)\n\n# Patch boto3 and other dependencies before importing anything from backend\nboto3_mock = MagicMock()\nsys.modules['boto3'] = boto3_mock\n\n# Apply critical patches before importing any modules\n# This prevents real AWS/MinIO/Elasticsearch calls during import\npatch('botocore.client.BaseClient._make_api_call', return_value={}).start()\n\n# Patch storage factory and MinIO config validation to avoid errors during initialization\n# These patches must be started before any imports that use MinioClient\nstorage_client_mock = MagicMock()\nminio_client_mock = MagicMock()\nminio_client_mock._ensure_bucket_exists = MagicMock()\nminio_client_mock.client = MagicMock()\n\n# Mock the entire MinIOStorageConfig class to avoid validation\nminio_config_mock = MagicMock()\nminio_config_mock.validate = MagicMock()\n\npatch('nexent.storage.storage_client_factory.create_storage_client_from_config',\n      return_value=storage_client_mock).start()\npatch('nexent.storage.minio_config.MinIOStorageConfig',\n      return_value=minio_config_mock).start()\npatch('backend.database.client.MinioClient',\n      return_value=minio_client_mock).start()\npatch('database.client.MinioClient', return_value=minio_client_mock).start()\npatch('backend.database.client.minio_client', minio_client_mock).start()\npatch('elasticsearch.Elasticsearch', return_value=MagicMock()).start()\n\n# Patch supabase to avoid import errors\nsupabase_mock = MagicMock()\nsys.modules['supabase'] = supabase_mock\n\n# Import backend modules after all patches are applied\n# Use additional context manager to ensure MinioClient is properly mocked during import\nwith patch('backend.database.client.MinioClient', return_value=minio_client_mock), \\\n        patch('nexent.storage.minio_config.MinIOStorageConfig', return_value=minio_config_mock):\n    from backend.apps.datamate_app import sync_datamate_knowledges, get_datamate_knowledge_base_files_endpoint, test_datamate_connection_endpoint as datamate_connection_endpoint\n\n\n# Fixtures to replace setUp and tearDown\n@pytest.fixture\ndef datamate_mocks():\n    \"\"\"Fixture to provide mocked dependencies for datamate app tests.\"\"\"\n    # Create fresh mocks for each test\n    # Note: patch where the functions are imported (datamate_app), not where they're defined (service module)\n    with patch('backend.apps.datamate_app.get_current_user_id') as mock_get_current_user_id, \\\n            patch('backend.apps.datamate_app.sync_datamate_knowledge_bases_and_create_records') as mock_sync_datamate, \\\n            patch('backend.apps.datamate_app.fetch_datamate_knowledge_base_file_list') as mock_fetch_files, \\\n            patch('backend.apps.datamate_app.check_datamate_connection') as mock_check_connection, \\\n            patch('backend.apps.datamate_app.logger') as mock_logger:\n\n        # Set up async mocks for async functions\n        mock_sync_datamate.return_value = AsyncMock()\n        mock_fetch_files.return_value = AsyncMock()\n        mock_check_connection.return_value = AsyncMock()\n\n        yield {\n            'get_current_user_id': mock_get_current_user_id,\n            'sync_datamate': mock_sync_datamate,\n            'fetch_files': mock_fetch_files,\n            'check_connection': mock_check_connection,\n            'logger': mock_logger\n        }\n\n\nclass TestDataMateApp:\n    \"\"\"Test class for DataMate app endpoints.\"\"\"\n\n    @pytest.mark.asyncio\n    async def test_sync_datamate_knowledges_success(self, datamate_mocks):\n        \"\"\"Test successful DataMate knowledge bases sync.\"\"\"\n        # Setup\n        mock_auth_header = \"Bearer test-token\"\n        expected_result = {\n            \"indices\": [\"kb1\", \"kb2\"],\n            \"count\": 2,\n            \"created_records\": 5\n        }\n\n        # Mock user and tenant ID\n        datamate_mocks['get_current_user_id'].return_value = (\n            \"test_user_id\", \"test_tenant_id\")\n\n        # Mock service response\n        datamate_mocks['sync_datamate'].return_value = expected_result\n\n        # Create request with None datamate_url (default behavior)\n        from backend.apps.datamate_app import SyncDatamateRequest\n        request = SyncDatamateRequest(datamate_url=None)\n\n        # Execute - call the endpoint with request body\n        result = await sync_datamate_knowledges(\n            authorization=mock_auth_header,\n            request=request\n        )\n\n        # Assert\n        assert result == expected_result\n        datamate_mocks['get_current_user_id'].assert_called_once_with(\n            mock_auth_header)\n        datamate_mocks['sync_datamate'].assert_called_once_with(\n            tenant_id=\"test_tenant_id\",\n            user_id=\"test_user_id\",\n            datamate_url=None\n        )\n\n    @pytest.mark.asyncio\n    async def test_sync_datamate_knowledges_auth_error(self, datamate_mocks):\n        \"\"\"Test DataMate knowledge bases sync with authentication error.\"\"\"\n        # Setup\n        mock_auth_header = \"Bearer invalid-token\"\n\n        # Mock authentication failure\n        datamate_mocks['get_current_user_id'].side_effect = Exception(\n            \"Invalid token\")\n\n        # Execute and Assert\n        with pytest.raises(HTTPException) as exc_info:\n            await sync_datamate_knowledges(authorization=mock_auth_header)\n\n        assert exc_info.value.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n        assert \"Error syncing DataMate knowledge bases and creating records\" in str(\n            exc_info.value.detail)\n        # Error is logged in auth_utils, not here\n        datamate_mocks['logger'].error.assert_not_called()\n\n    @pytest.mark.asyncio\n    async def test_sync_datamate_knowledges_service_error(self, datamate_mocks):\n        \"\"\"Test DataMate knowledge bases sync with service layer error.\"\"\"\n        # Setup\n        mock_auth_header = \"Bearer test-token\"\n\n        # Mock user and tenant ID\n        datamate_mocks['get_current_user_id'].return_value = (\n            \"test_user_id\", \"test_tenant_id\")\n\n        # Mock service exception\n        service_error = RuntimeError(\"DataMate API unavailable\")\n        datamate_mocks['sync_datamate'].side_effect = service_error\n\n        # Create request with None datamate_url\n        from backend.apps.datamate_app import SyncDatamateRequest\n        request = SyncDatamateRequest(datamate_url=None)\n\n        # Execute and Assert\n        with pytest.raises(HTTPException) as exc_info:\n            await sync_datamate_knowledges(\n                authorization=mock_auth_header,\n                request=request\n            )\n\n        assert exc_info.value.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n        assert \"Error syncing DataMate knowledge bases and creating records\" in str(\n            exc_info.value.detail)\n        assert \"DataMate API unavailable\" in str(exc_info.value.detail)\n        datamate_mocks['logger'].error.assert_not_called()\n\n    @pytest.mark.asyncio\n    async def test_get_datamate_knowledge_base_files_success(self, datamate_mocks):\n        \"\"\"Test successful retrieval of DataMate knowledge base files.\"\"\"\n        # Setup\n        mock_auth_header = \"Bearer test-token\"\n        knowledge_base_id = \"kb123\"\n        expected_result = {\n            \"status\": \"success\",\n            \"files\": [\n                {\"id\": \"file1\", \"name\": \"doc1.pdf\"},\n                {\"id\": \"file2\", \"name\": \"doc2.txt\"}\n            ]\n        }\n\n        # Mock user and tenant ID\n        datamate_mocks['get_current_user_id'].return_value = (\n            \"test_user_id\", \"test_tenant_id\")\n\n        # Mock service response\n        datamate_mocks['fetch_files'].return_value = expected_result\n\n        # Execute\n        result = await get_datamate_knowledge_base_files_endpoint(\n            knowledge_base_id=knowledge_base_id,\n            authorization=mock_auth_header\n        )\n\n        # Assert\n        assert isinstance(result, JSONResponse)\n        assert result.status_code == HTTPStatus.OK\n\n        # Parse the JSON response body to verify content\n        import json\n        response_body = json.loads(result.body.decode())\n        assert response_body == expected_result\n\n        datamate_mocks['get_current_user_id'].assert_called_once_with(\n            mock_auth_header)\n        datamate_mocks['fetch_files'].assert_called_once_with(\n            knowledge_base_id, \"test_tenant_id\")\n\n    @pytest.mark.asyncio\n    async def test_get_datamate_knowledge_base_files_auth_error(self, datamate_mocks):\n        \"\"\"Test DataMate knowledge base files retrieval with authentication error.\"\"\"\n        # Setup\n        mock_auth_header = \"Bearer invalid-token\"\n        knowledge_base_id = \"kb123\"\n\n        # Mock authentication failure\n        datamate_mocks['get_current_user_id'].side_effect = Exception(\n            \"Invalid token\")\n\n        # Execute and Assert\n        with pytest.raises(HTTPException) as exc_info:\n            await get_datamate_knowledge_base_files_endpoint(\n                knowledge_base_id=knowledge_base_id,\n                authorization=mock_auth_header\n            )\n\n        assert exc_info.value.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n        assert \"Error fetching DataMate knowledge base files\" in str(\n            exc_info.value.detail)\n        datamate_mocks['logger'].error.assert_not_called()\n\n    @pytest.mark.asyncio\n    async def test_get_datamate_knowledge_base_files_service_error(self, datamate_mocks):\n        \"\"\"Test DataMate knowledge base files retrieval with service layer error.\"\"\"\n        # Setup\n        mock_auth_header = \"Bearer test-token\"\n        knowledge_base_id = \"kb123\"\n\n        # Mock user and tenant ID\n        datamate_mocks['get_current_user_id'].return_value = (\n            \"test_user_id\", \"test_tenant_id\")\n\n        # Mock service exception\n        service_error = RuntimeError(\"Knowledge base not found\")\n        datamate_mocks['fetch_files'].side_effect = service_error\n\n        # Execute and Assert\n        with pytest.raises(HTTPException) as exc_info:\n            await get_datamate_knowledge_base_files_endpoint(\n                knowledge_base_id=knowledge_base_id,\n                authorization=mock_auth_header\n            )\n\n        assert exc_info.value.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n        assert \"Error fetching DataMate knowledge base files\" in str(\n            exc_info.value.detail)\n        assert \"Knowledge base not found\" in str(exc_info.value.detail)\n        datamate_mocks['logger'].error.assert_not_called()\n\n    @pytest.mark.asyncio\n    async def test_get_datamate_knowledge_base_files_empty_kb_id(self, datamate_mocks):\n        \"\"\"Test DataMate knowledge base files retrieval with empty knowledge base ID.\"\"\"\n        # Setup\n        mock_auth_header = \"Bearer test-token\"\n        knowledge_base_id = \"\"  # Empty ID\n\n        # Mock user and tenant ID\n        datamate_mocks['get_current_user_id'].return_value = (\n            \"test_user_id\", \"test_tenant_id\")\n\n        # Mock service response\n        expected_result = {\n            \"status\": \"success\",\n            \"files\": []\n        }\n        datamate_mocks['fetch_files'].return_value = expected_result\n\n        # Execute\n        result = await get_datamate_knowledge_base_files_endpoint(\n            knowledge_base_id=knowledge_base_id,\n            authorization=mock_auth_header\n        )\n\n        # Assert\n        assert isinstance(result, JSONResponse)\n        assert result.status_code == HTTPStatus.OK\n\n        datamate_mocks['get_current_user_id'].assert_called_once_with(\n            mock_auth_header)\n        datamate_mocks['fetch_files'].assert_called_once_with(\n            \"\", \"test_tenant_id\")\n\n    @pytest.mark.asyncio\n    async def test_sync_datamate_knowledges_none_auth_header(self, datamate_mocks):\n        \"\"\"Test DataMate knowledge bases sync with None authorization header.\"\"\"\n        # Setup\n        mock_auth_header = None\n\n        # Mock user and tenant ID for None auth (speed mode)\n        datamate_mocks['get_current_user_id'].return_value = (\n            \"default_user\", \"default_tenant\")\n\n        # Mock service response\n        expected_result = {\n            \"indices\": [],\n            \"count\": 0\n        }\n        datamate_mocks['sync_datamate'].return_value = expected_result\n\n        # Create request with None datamate_url\n        from backend.apps.datamate_app import SyncDatamateRequest\n        request = SyncDatamateRequest(datamate_url=None)\n\n        # Execute\n        result = await sync_datamate_knowledges(\n            authorization=mock_auth_header,\n            request=request\n        )\n\n        # Assert\n        assert result == expected_result\n        datamate_mocks['get_current_user_id'].assert_called_once_with(None)\n\n    @pytest.mark.asyncio\n    async def test_get_datamate_knowledge_base_files_none_auth_header(self, datamate_mocks):\n        \"\"\"Test DataMate knowledge base files retrieval with None authorization header.\"\"\"\n        # Setup\n        mock_auth_header = None\n        knowledge_base_id = \"kb123\"\n\n        # Mock user and tenant ID for None auth (speed mode)\n        datamate_mocks['get_current_user_id'].return_value = (\n            \"default_user\", \"default_tenant\")\n\n        # Mock service response\n        expected_result = {\n            \"status\": \"success\",\n            \"files\": [{\"id\": \"file1\", \"name\": \"test.pdf\"}]\n        }\n        datamate_mocks['fetch_files'].return_value = expected_result\n\n        # Execute\n        result = await get_datamate_knowledge_base_files_endpoint(\n            knowledge_base_id=knowledge_base_id,\n            authorization=mock_auth_header\n        )\n\n        # Assert\n        assert isinstance(result, JSONResponse)\n        assert result.status_code == HTTPStatus.OK\n\n        datamate_mocks['get_current_user_id'].assert_called_once_with(None)\n\n    @pytest.mark.asyncio\n    async def test_sync_datamate_knowledges_custom_exception(self, datamate_mocks):\n        \"\"\"Test DataMate knowledge bases sync with custom service exception.\"\"\"\n        # Setup\n        mock_auth_header = \"Bearer test-token\"\n\n        # Mock user and tenant ID\n        datamate_mocks['get_current_user_id'].return_value = (\n            \"test_user_id\", \"test_tenant_id\")\n\n        # Mock custom service exception\n        from backend.consts.exceptions import UnauthorizedError\n        custom_error = UnauthorizedError(\"Custom auth error\")\n        datamate_mocks['sync_datamate'].side_effect = custom_error\n\n        # Create request with None datamate_url\n        from backend.apps.datamate_app import SyncDatamateRequest\n        request = SyncDatamateRequest(datamate_url=None)\n\n        # Execute and Assert\n        with pytest.raises(HTTPException) as exc_info:\n            await sync_datamate_knowledges(\n                authorization=mock_auth_header,\n                request=request\n            )\n\n        assert exc_info.value.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n        assert \"Custom auth error\" in str(exc_info.value.detail)\n\n    @pytest.mark.asyncio\n    async def test_get_datamate_knowledge_base_files_custom_exception(self, datamate_mocks):\n        \"\"\"Test DataMate knowledge base files retrieval with custom service exception.\"\"\"\n        # Setup\n        mock_auth_header = \"Bearer test-token\"\n        knowledge_base_id = \"kb123\"\n\n        # Mock user and tenant ID\n        datamate_mocks['get_current_user_id'].return_value = (\n            \"test_user_id\", \"test_tenant_id\")\n\n        # Mock custom service exception\n        from backend.consts.exceptions import LimitExceededError\n        custom_error = LimitExceededError(\"Rate limit exceeded\")\n        datamate_mocks['fetch_files'].side_effect = custom_error\n\n        # Execute and Assert\n        with pytest.raises(HTTPException) as exc_info:\n            await get_datamate_knowledge_base_files_endpoint(\n                knowledge_base_id=knowledge_base_id,\n                authorization=mock_auth_header\n            )\n\n        assert exc_info.value.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n        assert \"Rate limit exceeded\" in str(exc_info.value.detail)\n\n    @pytest.mark.asyncio\n    async def test_sync_datamate_knowledges_with_custom_datamate_url(self, datamate_mocks):\n        \"\"\"Test DataMate knowledge bases sync with custom datamate_url in request body.\"\"\"\n        # Setup\n        mock_auth_header = \"Bearer test-token\"\n        custom_datamate_url = \"http://custom-datamate.example.com:8080\"\n        expected_result = {\n            \"indices\": [\"kb1\", \"kb2\"],\n            \"count\": 2,\n            \"created_records\": 5\n        }\n\n        # Mock user and tenant ID\n        datamate_mocks['get_current_user_id'].return_value = (\n            \"test_user_id\", \"test_tenant_id\")\n\n        # Mock service response\n        datamate_mocks['sync_datamate'].return_value = expected_result\n\n        # Create request with custom datamate_url\n        from backend.apps.datamate_app import SyncDatamateRequest\n        request = SyncDatamateRequest(datamate_url=custom_datamate_url)\n\n        # Execute - call the endpoint with request body\n        result = await sync_datamate_knowledges(\n            authorization=mock_auth_header,\n            request=request\n        )\n\n        # Assert\n        assert result == expected_result\n        datamate_mocks['get_current_user_id'].assert_called_once_with(\n            mock_auth_header)\n        datamate_mocks['sync_datamate'].assert_called_once_with(\n            tenant_id=\"test_tenant_id\",\n            user_id=\"test_user_id\",\n            datamate_url=custom_datamate_url\n        )\n\n    @pytest.mark.asyncio\n    async def test_sync_datamate_kcknowledges_with_none_datamate_url(self, datamate_mocks):\n        \"\"\"Test DataMate knowledge bases sync with explicit None datamate_url.\"\"\"\n        # Setup\n        mock_auth_header = \"Bearer test-token\"\n        expected_result = {\n            \"indices\": [],\n            \"count\": 0\n        }\n\n        # Mock user and tenant ID\n        datamate_mocks['get_current_user_id'].return_value = (\n            \"test_user_id\", \"test_tenant_id\")\n\n        # Mock service response\n        datamate_mocks['sync_datamate'].return_value = expected_result\n\n        # Create request with explicit None datamate_url\n        from backend.apps.datamate_app import SyncDatamateRequest\n        request = SyncDatamateRequest(datamate_url=None)\n\n        # Execute - call the endpoint with request body containing None\n        result = await sync_datamate_knowledges(\n            authorization=mock_auth_header,\n            request=request\n        )\n\n        # Assert\n        assert result == expected_result\n        datamate_mocks['get_current_user_id'].assert_called_once_with(\n            mock_auth_header)\n        # When datamate_url is None, it should be passed as None to service\n        datamate_mocks['sync_datamate'].assert_called_once_with(\n            tenant_id=\"test_tenant_id\",\n            user_id=\"test_user_id\",\n            datamate_url=None\n        )\n\n    @pytest.mark.asyncio\n    async def test_sync_datamate_knowledges_with_empty_datamate_url(self, datamate_mocks):\n        \"\"\"Test DataMate knowledge bases sync with empty string datamate_url.\"\"\"\n        # Setup\n        mock_auth_header = \"Bearer test-token\"\n        empty_datamate_url = \"\"\n        expected_result = {\n            \"indices\": [],\n            \"count\": 0\n        }\n\n        # Mock user and tenant ID\n        datamate_mocks['get_current_user_id'].return_value = (\n            \"test_user_id\", \"test_tenant_id\")\n\n        # Mock service response - empty URL should be treated as no URL\n        datamate_mocks['sync_datamate'].return_value = expected_result\n\n        # Create request with empty string datamate_url\n        from backend.apps.datamate_app import SyncDatamateRequest\n        request = SyncDatamateRequest(datamate_url=empty_datamate_url)\n\n        # Execute - call the endpoint with request body\n        result = await sync_datamate_knowledges(\n            authorization=mock_auth_header,\n            request=request\n        )\n\n        # Assert\n        assert result == expected_result\n        datamate_mocks['sync_datamate'].assert_called_once_with(\n            tenant_id=\"test_tenant_id\",\n            user_id=\"test_user_id\",\n            datamate_url=empty_datamate_url\n        )\n\n    @pytest.mark.asyncio\n    async def test_sync_datamate_kcknowledges_with_https_datamate_url(self, datamate_mocks):\n        \"\"\"Test DataMate knowledge bases sync with HTTPS datamate_url.\"\"\"\n        # Setup\n        mock_auth_header = \"Bearer test-token\"\n        https_datamate_url = \"https://secure-datamate.example.com\"\n        expected_result = {\n            \"indices\": [\"kb1\"],\n            \"count\": 1,\n            \"created_records\": 1\n        }\n\n        # Mock user and tenant ID\n        datamate_mocks['get_current_user_id'].return_value = (\n            \"test_user_id\", \"test_tenant_id\")\n\n        # Mock service response\n        datamate_mocks['sync_datamate'].return_value = expected_result\n\n        # Create request with HTTPS datamate_url\n        from backend.apps.datamate_app import SyncDatamateRequest\n        request = SyncDatamateRequest(datamate_url=https_datamate_url)\n\n        # Execute - call the endpoint with request body\n        result = await sync_datamate_knowledges(\n            authorization=mock_auth_header,\n            request=request\n        )\n\n        # Assert\n        assert result == expected_result\n        datamate_mocks['sync_datamate'].assert_called_once_with(\n            tenant_id=\"test_tenant_id\",\n            user_id=\"test_user_id\",\n            datamate_url=https_datamate_url\n        )\n\n\n@pytest.mark.asyncio\nasync def test_datamate_connection_endpoint_success(datamate_mocks):\n    \"\"\"Test successful DataMate connection test.\"\"\"\n    # Setup\n    mock_auth_header = \"Bearer test-token\"\n    expected_result = JSONResponse(\n        status_code=HTTPStatus.OK,\n        content={\"success\": True, \"message\": \"Connection successful\"}\n    )\n\n    # Mock user and tenant ID\n    datamate_mocks['get_current_user_id'].return_value = (\n        \"test_user_id\", \"test_tenant_id\")\n\n    # Mock service response - connection successful\n    datamate_mocks['check_connection'].return_value = (True, \"\")\n\n    # Create request with None datamate_url (default behavior)\n    from backend.apps.datamate_app import SyncDatamateRequest\n    request = SyncDatamateRequest(datamate_url=None)\n\n    # Execute\n    result = await datamate_connection_endpoint(\n        authorization=mock_auth_header,\n        request=request\n    )\n\n    # Assert\n    assert isinstance(result, JSONResponse)\n    assert result.status_code == HTTPStatus.OK\n\n    # Parse the JSON response body to verify content\n    import json\n    response_body = json.loads(result.body.decode())\n    assert response_body[\"success\"] is True\n    assert response_body[\"message\"] == \"Connection successful\"\n\n    datamate_mocks['get_current_user_id'].assert_called_once_with(\n        mock_auth_header)\n    datamate_mocks['check_connection'].assert_called_once_with(\n        \"test_tenant_id\", None\n    )\n\n\n@pytest.mark.asyncio\nasync def test_datamate_connection_endpoint_connection_failed(datamate_mocks):\n    \"\"\"Test DataMate connection test when connection fails.\"\"\"\n    # Setup\n    mock_auth_header = \"Bearer test-token\"\n\n    # Mock user and tenant ID\n    datamate_mocks['get_current_user_id'].return_value = (\n        \"test_user_id\", \"test_tenant_id\")\n\n    # Mock service response - connection failed\n    error_message = \"Connection timeout\"\n    datamate_mocks['check_connection'].return_value = (False, error_message)\n\n    # Create request with None datamate_url\n    from backend.apps.datamate_app import SyncDatamateRequest\n    request = SyncDatamateRequest(datamate_url=None)\n\n    # Execute and Assert\n    with pytest.raises(HTTPException) as exc_info:\n        await datamate_connection_endpoint(\n            authorization=mock_auth_header,\n            request=request\n        )\n\n    assert exc_info.value.status_code == HTTPStatus.BAD_REQUEST\n    assert f\"Cannot connect to DataMate server: {error_message}\" in str(\n        exc_info.value.detail)\n\n    datamate_mocks['get_current_user_id'].assert_called_once_with(\n        mock_auth_header)\n    datamate_mocks['check_connection'].assert_called_once_with(\n        \"test_tenant_id\", None\n    )\n\n\n@pytest.mark.asyncio\nasync def test_datamate_connection_endpoint_auth_error(datamate_mocks):\n    \"\"\"Test DataMate connection test with authentication error.\"\"\"\n    # Setup\n    mock_auth_header = \"Bearer invalid-token\"\n\n    # Mock authentication failure\n    datamate_mocks['get_current_user_id'].side_effect = Exception(\n        \"Invalid token\")\n\n    # Create request with None datamate_url\n    from backend.apps.datamate_app import SyncDatamateRequest\n    request = SyncDatamateRequest(datamate_url=None)\n\n    # Execute and Assert\n    with pytest.raises(HTTPException) as exc_info:\n        await datamate_connection_endpoint(\n            authorization=mock_auth_header,\n            request=request\n        )\n\n    assert exc_info.value.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n    assert \"Error testing DataMate connection\" in str(exc_info.value.detail)\n    datamate_mocks['logger'].error.assert_not_called()\n\n\n@pytest.mark.asyncio\nasync def test_datamate_connection_endpoint_service_error(datamate_mocks):\n    \"\"\"Test DataMate connection test with service layer error.\"\"\"\n    # Setup\n    mock_auth_header = \"Bearer test-token\"\n\n    # Mock user and tenant ID\n    datamate_mocks['get_current_user_id'].return_value = (\n        \"test_user_id\", \"test_tenant_id\")\n\n    # Mock service exception\n    service_error = RuntimeError(\"DataMate API unavailable\")\n    datamate_mocks['check_connection'].side_effect = service_error\n\n    # Create request with None datamate_url\n    from backend.apps.datamate_app import SyncDatamateRequest\n    request = SyncDatamateRequest(datamate_url=None)\n\n    # Execute and Assert\n    with pytest.raises(HTTPException) as exc_info:\n        await datamate_connection_endpoint(\n            authorization=mock_auth_header,\n            request=request\n        )\n\n    assert exc_info.value.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n    assert \"Error testing DataMate connection\" in str(exc_info.value.detail)\n    assert \"DataMate API unavailable\" in str(exc_info.value.detail)\n    datamate_mocks['logger'].error.assert_not_called()\n\n\n@pytest.mark.asyncio\nasync def test_datamate_connection_endpoint_none_auth_header(datamate_mocks):\n    \"\"\"Test DataMate connection test with None authorization header.\"\"\"\n    # Setup\n    mock_auth_header = None\n\n    # Mock user and tenant ID for None auth (speed mode)\n    datamate_mocks['get_current_user_id'].return_value = (\n        \"default_user\", \"default_tenant\")\n\n    # Mock service response - connection successful\n    datamate_mocks['check_connection'].return_value = (True, \"\")\n\n    # Create request with None datamate_url\n    from backend.apps.datamate_app import SyncDatamateRequest\n    request = SyncDatamateRequest(datamate_url=None)\n\n    # Execute\n    result = await datamate_connection_endpoint(\n        authorization=mock_auth_header,\n        request=request\n    )\n\n    # Assert\n    assert isinstance(result, JSONResponse)\n    assert result.status_code == HTTPStatus.OK\n\n    datamate_mocks['get_current_user_id'].assert_called_once_with(None)\n    datamate_mocks['check_connection'].assert_called_once_with(\n        \"default_tenant\", None\n    )\n\n\n@pytest.mark.asyncio\nasync def test_datamate_connection_endpoint_with_custom_url(datamate_mocks):\n    \"\"\"Test DataMate connection test with custom datamate_url in request body.\"\"\"\n    # Setup\n    mock_auth_header = \"Bearer test-token\"\n    custom_datamate_url = \"http://custom-datamate.example.com:8080\"\n\n    # Mock user and tenant ID\n    datamate_mocks['get_current_user_id'].return_value = (\n        \"test_user_id\", \"test_tenant_id\")\n\n    # Mock service response - connection successful\n    datamate_mocks['check_connection'].return_value = (True, \"\")\n\n    # Create request with custom datamate_url\n    from backend.apps.datamate_app import SyncDatamateRequest\n    request = SyncDatamateRequest(datamate_url=custom_datamate_url)\n\n    # Execute\n    result = await datamate_connection_endpoint(\n        authorization=mock_auth_header,\n        request=request\n    )\n\n    # Assert\n    assert isinstance(result, JSONResponse)\n    assert result.status_code == HTTPStatus.OK\n\n    # Parse the JSON response body to verify content\n    import json\n    response_body = json.loads(result.body.decode())\n    assert response_body[\"success\"] is True\n\n    datamate_mocks['get_current_user_id'].assert_called_once_with(\n        mock_auth_header)\n    datamate_mocks['check_connection'].assert_called_once_with(\n        \"test_tenant_id\", custom_datamate_url\n    )\n\n\n@pytest.mark.asyncio\nasync def test_datamate_connection_endpoint_connection_disabled(datamate_mocks):\n    \"\"\"Test DataMate connection test when ModelEngine is disabled.\"\"\"\n    # Setup\n    mock_auth_header = \"Bearer test-token\"\n\n    # Mock user and tenant ID\n    datamate_mocks['get_current_user_id'].return_value = (\n        \"test_user_id\", \"test_tenant_id\")\n\n    # Mock service response - ModelEngine disabled\n    datamate_mocks['check_connection'].return_value = (\n        False, \"ModelEngine is disabled\")\n\n    # Create request with None datamate_url\n    from backend.apps.datamate_app import SyncDatamateRequest\n    request = SyncDatamateRequest(datamate_url=None)\n\n    # Execute and Assert\n    with pytest.raises(HTTPException) as exc_info:\n        await datamate_connection_endpoint(\n            authorization=mock_auth_header,\n            request=request\n        )\n\n    assert exc_info.value.status_code == HTTPStatus.BAD_REQUEST\n    assert \"Cannot connect to DataMate server: ModelEngine is disabled\" in str(\n        exc_info.value.detail)\n\n\n@pytest.mark.asyncio\nasync def test_datamate_connection_endpoint_no_url_configured(datamate_mocks):\n    \"\"\"Test DataMate connection test when DataMate URL is not configured.\"\"\"\n    # Setup\n    mock_auth_header = \"Bearer test-token\"\n\n    # Mock user and tenant ID\n    datamate_mocks['get_current_user_id'].return_value = (\n        \"test_user_id\", \"test_tenant_id\")\n\n    # Mock service response - URL not configured\n    datamate_mocks['check_connection'].return_value = (\n        False, \"DataMate URL not configured\")\n\n    # Create request with None datamate_url\n    from backend.apps.datamate_app import SyncDatamateRequest\n    request = SyncDatamateRequest(datamate_url=None)\n\n    # Execute and Assert\n    with pytest.raises(HTTPException) as exc_info:\n        await datamate_connection_endpoint(\n            authorization=mock_auth_header,\n            request=request\n        )\n\n    assert exc_info.value.status_code == HTTPStatus.BAD_REQUEST\n    assert \"Cannot connect to DataMate server: DataMate URL not configured\" in str(\n        exc_info.value.detail)\n\n\n@pytest.mark.asyncio\nasync def test_datamate_connection_endpoint_empty_request_body(datamate_mocks):\n    \"\"\"Test DataMate connection test with empty request body (None request).\"\"\"\n    # Setup\n    mock_auth_header = \"Bearer test-token\"\n\n    # Mock user and tenant ID\n    datamate_mocks['get_current_user_id'].return_value = (\n        \"test_user_id\", \"test_tenant_id\")\n\n    # Mock service response - connection successful\n    datamate_mocks['check_connection'].return_value = (True, \"\")\n\n    # Execute with None request (empty body)\n    result = await datamate_connection_endpoint(\n        authorization=mock_auth_header,\n        request=None\n    )\n\n    # Assert\n    assert isinstance(result, JSONResponse)\n    assert result.status_code == HTTPStatus.OK\n\n    # Verify test_connection was called with None datamate_url when request is None\n    datamate_mocks['check_connection'].assert_called_once_with(\n        \"test_tenant_id\", None\n    )\n\n\n@pytest.mark.asyncio\nasync def test_datamate_connection_endpoint_empty_url_in_request(datamate_mocks):\n    \"\"\"Test DataMate connection test with empty string datamate_url in request.\"\"\"\n    # Setup\n    mock_auth_header = \"Bearer test-token\"\n    empty_datamate_url = \"\"\n\n    # Mock user and tenant ID\n    datamate_mocks['get_current_user_id'].return_value = (\n        \"test_user_id\", \"test_tenant_id\")\n\n    # Mock service response - URL not configured\n    datamate_mocks['check_connection'].return_value = (\n        False, \"DataMate URL not configured\")\n\n    # Create request with empty string datamate_url\n    from backend.apps.datamate_app import SyncDatamateRequest\n    request = SyncDatamateRequest(datamate_url=empty_datamate_url)\n\n    # Execute and Assert\n    with pytest.raises(HTTPException) as exc_info:\n        await datamate_connection_endpoint(\n            authorization=mock_auth_header,\n            request=request\n        )\n\n    assert exc_info.value.status_code == HTTPStatus.BAD_REQUEST\n\n    # Verify test_connection was called with empty string datamate_url\n    datamate_mocks['check_connection'].assert_called_once_with(\n        \"test_tenant_id\", empty_datamate_url\n    )\n"
  },
  {
    "path": "test/backend/app/test_dify_app.py",
    "content": "\"\"\"\nUnit tests for Dify App Layer.\n\nTests the FastAPI endpoints for Dify knowledge base operations.\n\"\"\"\nimport sys\nimport os\nfrom unittest.mock import patch, MagicMock\n\nimport pytest\nfrom fastapi import HTTPException\nfrom fastapi.responses import JSONResponse\nfrom http import HTTPStatus\n\n\n# Add backend directory to Python path for proper imports\nproject_root = os.path.abspath(os.path.join(\n    os.path.dirname(__file__), '../../../'))\nbackend_dir = os.path.join(project_root, 'backend')\nif backend_dir not in sys.path:\n    sys.path.insert(0, backend_dir)\n\n\n# Mock the storage client factory BEFORE importing any backend modules that depend on it.\n# This prevents MinIO connection attempts during module import.\ndef _mock_create_storage_client_from_config(config):\n    \"\"\"Mock function to replace create_storage_client_from_config.\"\"\"\n    mock_client = MagicMock()\n    mock_client.default_bucket = getattr(config, 'default_bucket', None)\n    mock_client.upload_file.return_value = (True, \"/mock-bucket/mock-file\")\n    mock_client.download_file.return_value = (True, \"Downloaded successfully\")\n    mock_client.get_file_url.return_value = (True, \"http://mock-url/file\")\n    mock_client.list_files.return_value = []\n    mock_client.delete_file.return_value = (True, \"Deleted successfully\")\n    mock_client.get_file_stream.return_value = (True, MagicMock())\n    mock_client.get_file_size.return_value = 0\n    return mock_client\n\n\n# Apply the mock to the SDK module where create_storage_client_from_config is defined\nwith patch('nexent.storage.storage_client_factory.create_storage_client_from_config',\n           side_effect=_mock_create_storage_client_from_config):\n    # Also mock the MinIO client initialization in database.client\n    with patch('backend.database.client.MinioClient') as MockMinioClient:\n        mock_minio_instance = MagicMock()\n        MockMinioClient.return_value = mock_minio_instance\n\n        # Now it's safe to import backend modules\n        from backend.apps.dify_app import router, fetch_dify_datasets_api\n        from backend.services.dify_service import fetch_dify_datasets_impl\n\n\n# Fixtures to replace setUp and tearDown\n@pytest.fixture\ndef dify_mocks():\n    \"\"\"Fixture to provide mocked dependencies for dify app tests.\"\"\"\n    with patch('backend.apps.dify_app.get_current_user_id') as mock_get_current_user_id, \\\n            patch('backend.apps.dify_app.fetch_dify_datasets_impl') as mock_fetch_dify, \\\n            patch('backend.apps.dify_app.logger') as mock_logger:\n\n        mock_fetch_dify.return_value = MagicMock()\n\n        yield {\n            'get_current_user_id': mock_get_current_user_id,\n            'fetch_dify': mock_fetch_dify,\n            'logger': mock_logger\n        }\n\n\nclass TestFetchDifyDatasetsApi:\n    \"\"\"Test class for fetch_dify_datasets_api endpoint.\"\"\"\n\n    @pytest.mark.asyncio\n    async def test_fetch_dify_datasets_api_success(self, dify_mocks):\n        \"\"\"Test successful fetching of Dify datasets.\"\"\"\n        # Setup\n        mock_auth_header = \"Bearer test-token\"\n        dify_api_base = \"https://dify.example.com\"\n        api_key = \"test-api-key\"\n\n        expected_result = {\n            \"indices\": [\"ds-1\", \"ds-2\"],\n            \"count\": 2,\n            \"indices_info\": [\n                {\n                    \"name\": \"ds-1\",\n                    \"display_name\": \"Knowledge Base 1\",\n                    \"stats\": {\n                        \"base_info\": {\n                            \"doc_count\": 10,\n                            \"chunk_count\": 100,\n                            \"store_size\": \"\",\n                            \"process_source\": \"Dify\",\n                            \"embedding_model\": \"text-embedding-3-small\",\n                            \"embedding_dim\": 0,\n                            \"creation_date\": 1704067200000,\n                            \"update_date\": 1704153600000\n                        },\n                        \"search_performance\": {\n                            \"total_search_count\": 0,\n                            \"hit_count\": 0\n                        }\n                    }\n                }\n            ],\n            \"pagination\": {\n                \"embedding_available\": True\n            }\n        }\n\n        # Mock user and tenant ID\n        dify_mocks['get_current_user_id'].return_value = (\n            \"test_user_id\", \"test_tenant_id\"\n        )\n\n        # Mock service response\n        dify_mocks['fetch_dify'].return_value = expected_result\n\n        # Execute\n        result = await fetch_dify_datasets_api(\n            dify_api_base=dify_api_base,\n            api_key=api_key,\n            authorization=mock_auth_header\n        )\n\n        # Assert\n        assert isinstance(result, JSONResponse)\n        assert result.status_code == HTTPStatus.OK\n\n        # Parse the JSON response body to verify content\n        import json\n        response_body = json.loads(result.body.decode())\n        assert response_body == expected_result\n\n        # Note: get_current_user_id is imported but not used in dify_app.py\n        # The test verifies the actual behavior of the function\n        dify_mocks['fetch_dify'].assert_called_once_with(\n            dify_api_base=dify_api_base.rstrip('/'),\n            api_key=api_key\n        )\n\n    @pytest.mark.asyncio\n    async def test_fetch_dify_datasets_api_url_normalization(self, dify_mocks):\n        \"\"\"Test that trailing slash is removed from dify_api_base.\"\"\"\n        mock_auth_header = \"Bearer test-token\"\n        dify_api_base = \"https://dify.example.com/\"\n        api_key = \"test-api-key\"\n\n        expected_result = {\n            \"indices\": [],\n            \"count\": 0,\n            \"indices_info\": [],\n            \"pagination\": {\"embedding_available\": False}\n        }\n\n        dify_mocks['get_current_user_id'].return_value = (\n            \"test_user_id\", \"test_tenant_id\"\n        )\n        dify_mocks['fetch_dify'].return_value = expected_result\n\n        result = await fetch_dify_datasets_api(\n            dify_api_base=dify_api_base,\n            api_key=api_key,\n            authorization=mock_auth_header\n        )\n\n        # Verify the URL was normalized (trailing slash removed)\n        dify_mocks['fetch_dify'].assert_called_once_with(\n            dify_api_base=\"https://dify.example.com\",  # No trailing slash\n            api_key=api_key\n        )\n\n    @pytest.mark.asyncio\n    async def test_fetch_dify_datasets_api_auth_error(self, dify_mocks):\n        \"\"\"Test endpoint with authentication error.\"\"\"\n        from consts.exceptions import AppException\n        from consts.error_code import ErrorCode\n\n        mock_auth_header = \"Bearer invalid-token\"\n        dify_api_base = \"https://dify.example.com\"\n        api_key = \"test-api-key\"\n\n        # Mock authentication failure\n        dify_mocks['get_current_user_id'].side_effect = Exception(\n            \"Invalid token\")\n\n        # Execute and Assert - the code catches Exception and converts to AppException\n        with pytest.raises(AppException) as exc_info:\n            await fetch_dify_datasets_api(\n                dify_api_base=dify_api_base,\n                api_key=api_key,\n                authorization=mock_auth_header\n            )\n\n        assert exc_info.value.error_code == ErrorCode.DIFY_SERVICE_ERROR\n        assert \"Failed to fetch Dify datasets\" in str(exc_info.value.message)\n        dify_mocks['logger'].error.assert_called()\n\n    @pytest.mark.asyncio\n    async def test_fetch_dify_datasets_api_service_validation_error(self, dify_mocks):\n        \"\"\"Test endpoint with service layer validation error (ValueError).\"\"\"\n        from consts.exceptions import AppException\n        from consts.error_code import ErrorCode\n\n        mock_auth_header = \"Bearer test-token\"\n        dify_api_base = \"https://dify.example.com\"\n        api_key = \"\"\n\n        dify_mocks['get_current_user_id'].return_value = (\n            \"test_user_id\", \"test_tenant_id\"\n        )\n        dify_mocks['fetch_dify'].side_effect = ValueError(\n            \"api_key is required\")\n\n        with pytest.raises(AppException) as exc_info:\n            await fetch_dify_datasets_api(\n                dify_api_base=dify_api_base,\n                api_key=api_key,\n                authorization=mock_auth_header\n            )\n\n        assert exc_info.value.error_code == ErrorCode.DIFY_SERVICE_ERROR\n\n    @pytest.mark.asyncio\n    async def test_fetch_dify_datasets_api_service_error(self, dify_mocks):\n        \"\"\"Test endpoint with general service layer error.\"\"\"\n        from consts.exceptions import AppException\n        from consts.error_code import ErrorCode\n\n        mock_auth_header = \"Bearer test-token\"\n        dify_api_base = \"https://dify.example.com\"\n        api_key = \"test-api-key\"\n\n        dify_mocks['get_current_user_id'].return_value = (\n            \"test_user_id\", \"test_tenant_id\"\n        )\n        dify_mocks['fetch_dify'].side_effect = Exception(\n            \"Dify API connection failed\")\n\n        with pytest.raises(AppException) as exc_info:\n            await fetch_dify_datasets_api(\n                dify_api_base=dify_api_base,\n                api_key=api_key,\n                authorization=mock_auth_header\n            )\n\n        assert exc_info.value.error_code == ErrorCode.DIFY_SERVICE_ERROR\n        assert \"Failed to fetch Dify datasets\" in str(exc_info.value.message)\n        assert \"Dify API connection failed\" in str(exc_info.value.message)\n        dify_mocks['logger'].error.assert_called()\n\n    @pytest.mark.asyncio\n    async def test_fetch_dify_datasets_api_http_error_from_service(self, dify_mocks):\n        \"\"\"Test endpoint when service raises HTTP-related exception.\"\"\"\n        from consts.exceptions import AppException\n        from consts.error_code import ErrorCode\n\n        mock_auth_header = \"Bearer test-token\"\n        dify_api_base = \"https://dify.example.com\"\n        api_key = \"test-api-key\"\n\n        dify_mocks['get_current_user_id'].return_value = (\n            \"test_user_id\", \"test_tenant_id\"\n        )\n        # Simulate HTTP error from service\n        dify_mocks['fetch_dify'].side_effect = Exception(\n            \"Dify API HTTP error: 404 Not Found\")\n\n        with pytest.raises(AppException) as exc_info:\n            await fetch_dify_datasets_api(\n                dify_api_base=dify_api_base,\n                api_key=api_key,\n                authorization=mock_auth_header\n            )\n\n        assert exc_info.value.error_code == ErrorCode.DIFY_SERVICE_ERROR\n        assert \"Failed to fetch Dify datasets\" in str(exc_info.value.message)\n\n    @pytest.mark.asyncio\n    async def test_fetch_dify_datasets_api_request_error_from_service(self, dify_mocks):\n        \"\"\"Test endpoint when service raises request error.\"\"\"\n        from consts.exceptions import AppException\n        from consts.error_code import ErrorCode\n\n        mock_auth_header = \"Bearer test-token\"\n        dify_api_base = \"https://dify.example.com\"\n        api_key = \"test-api-key\"\n\n        dify_mocks['get_current_user_id'].return_value = (\n            \"test_user_id\", \"test_tenant_id\"\n        )\n        # Simulate request error from service\n        dify_mocks['fetch_dify'].side_effect = Exception(\n            \"Dify API request failed: Connection refused\")\n\n        from consts.exceptions import AppException\n        from consts.error_code import ErrorCode\n\n        with pytest.raises(AppException) as exc_info:\n            await fetch_dify_datasets_api(\n                dify_api_base=dify_api_base,\n                api_key=api_key,\n                authorization=mock_auth_header\n            )\n\n        assert exc_info.value.error_code == ErrorCode.DIFY_SERVICE_ERROR\n        assert \"Failed to fetch Dify datasets\" in str(exc_info.value.message)\n\n    @pytest.mark.asyncio\n    async def test_fetch_dify_datasets_api_none_auth_header(self, dify_mocks):\n        \"\"\"Test endpoint with None authorization header (speed mode).\"\"\"\n        mock_auth_header = None\n        dify_api_base = \"https://dify.example.com\"\n        api_key = \"test-api-key\"\n\n        expected_result = {\n            \"indices\": [\"ds-1\"],\n            \"count\": 1,\n            \"indices_info\": [],\n            \"pagination\": {\"embedding_available\": False}\n        }\n\n        # Mock user and tenant ID for None auth (even though it's not used in the current implementation)\n        dify_mocks['get_current_user_id'].return_value = (\n            \"default_user\", \"default_tenant\"\n        )\n        dify_mocks['fetch_dify'].return_value = expected_result\n\n        result = await fetch_dify_datasets_api(\n            dify_api_base=dify_api_base,\n            api_key=api_key,\n            authorization=mock_auth_header\n        )\n\n        assert isinstance(result, JSONResponse)\n        assert result.status_code == HTTPStatus.OK\n\n        # Note: get_current_user_id is imported but not used in dify_app.py\n        # The test verifies the actual behavior of the function\n\n    @pytest.mark.asyncio\n    async def test_fetch_dify_datasets_api_empty_result(self, dify_mocks):\n        \"\"\"Test endpoint when Dify returns empty dataset list.\"\"\"\n        mock_auth_header = \"Bearer test-token\"\n        dify_api_base = \"https://dify.example.com\"\n        api_key = \"test-api-key\"\n\n        expected_result = {\n            \"indices\": [],\n            \"count\": 0,\n            \"indices_info\": [],\n            \"pagination\": {\"embedding_available\": False}\n        }\n\n        dify_mocks['get_current_user_id'].return_value = (\n            \"test_user_id\", \"test_tenant_id\"\n        )\n        dify_mocks['fetch_dify'].return_value = expected_result\n\n        result = await fetch_dify_datasets_api(\n            dify_api_base=dify_api_base,\n            api_key=api_key,\n            authorization=mock_auth_header\n        )\n\n        assert isinstance(result, JSONResponse)\n        assert result.status_code == HTTPStatus.OK\n\n        import json\n        response_body = json.loads(result.body.decode())\n        assert response_body[\"count\"] == 0\n        assert response_body[\"indices\"] == []\n\n    @pytest.mark.asyncio\n    async def test_fetch_dify_datasets_api_response_structure(self, dify_mocks):\n        \"\"\"Test that response contains all required DataMate-compatible fields.\"\"\"\n        mock_auth_header = \"Bearer test-token\"\n        dify_api_base = \"https://dify.example.com\"\n        api_key = \"test-api-key\"\n\n        expected_result = {\n            \"indices\": [\"ds-123\"],\n            \"count\": 1,\n            \"indices_info\": [\n                {\n                    \"name\": \"ds-123\",\n                    \"display_name\": \"My Dataset\",\n                    \"stats\": {\n                        \"base_info\": {\n                            \"doc_count\": 50,\n                            \"chunk_count\": 500,\n                            \"store_size\": \"1.5GB\",\n                            \"process_source\": \"Dify\",\n                            \"embedding_model\": \"text-embedding-ada-002\",\n                            \"embedding_dim\": 1536,\n                            \"creation_date\": 1704067200000,\n                            \"update_date\": 1704153600000\n                        },\n                        \"search_performance\": {\n                            \"total_search_count\": 100,\n                            \"hit_count\": 85\n                        }\n                    }\n                }\n            ],\n            \"pagination\": {\n                \"embedding_available\": True\n            }\n        }\n\n        dify_mocks['get_current_user_id'].return_value = (\n            \"test_user_id\", \"test_tenant_id\"\n        )\n        dify_mocks['fetch_dify'].return_value = expected_result\n\n        result = await fetch_dify_datasets_api(\n            dify_api_base=dify_api_base,\n            api_key=api_key,\n            authorization=mock_auth_header\n        )\n\n        assert isinstance(result, JSONResponse)\n\n        import json\n        response_body = json.loads(result.body.decode())\n\n        # Verify all required top-level fields\n        assert \"indices\" in response_body\n        assert \"count\" in response_body\n        assert \"indices_info\" in response_body\n        assert \"pagination\" in response_body\n\n        # Verify indices_info structure\n        info = response_body[\"indices_info\"][0]\n        assert \"name\" in info\n        assert \"display_name\" in info\n        assert \"stats\" in info\n\n        stats = info[\"stats\"]\n        assert \"base_info\" in stats\n        assert \"search_performance\" in stats\n\n        base_info = stats[\"base_info\"]\n        assert \"doc_count\" in base_info\n        assert \"chunk_count\" in base_info\n        assert \"store_size\" in base_info\n        assert \"process_source\" in base_info\n        assert \"embedding_model\" in base_info\n        assert \"embedding_dim\" in base_info\n        assert \"creation_date\" in base_info\n        assert \"update_date\" in base_info\n\n    @pytest.mark.asyncio\n    async def test_fetch_dify_datasets_api_logger_info_call(self, dify_mocks):\n        \"\"\"Test that endpoint logs appropriately on success.\"\"\"\n        mock_auth_header = \"Bearer test-token\"\n        dify_api_base = \"https://dify.example.com\"\n        api_key = \"test-api-key\"\n\n        expected_result = {\n            \"indices\": [],\n            \"count\": 0,\n            \"indices_info\": [],\n            \"pagination\": {\"embedding_available\": False}\n        }\n\n        dify_mocks['get_current_user_id'].return_value = (\n            \"test_user_id\", \"test_tenant_id\"\n        )\n        dify_mocks['fetch_dify'].return_value = expected_result\n\n        await fetch_dify_datasets_api(\n            dify_api_base=dify_api_base,\n            api_key=api_key,\n            authorization=mock_auth_header\n        )\n\n        # On success, logger.info should be called (service logs the fetch operation)\n        dify_mocks['fetch_dify'].assert_called_once()\n\n    @pytest.mark.asyncio\n    async def test_fetch_dify_datasets_api_logger_error_call(self, dify_mocks):\n        \"\"\"Test that endpoint logs errors appropriately.\"\"\"\n        from consts.exceptions import AppException\n\n        mock_auth_header = \"Bearer test-token\"\n        dify_api_base = \"https://dify.example.com\"\n        api_key = \"test-api-key\"\n\n        dify_mocks['get_current_user_id'].return_value = (\n            \"test_user_id\", \"test_tenant_id\"\n        )\n        dify_mocks['fetch_dify'].side_effect = Exception(\"Connection timeout\")\n\n        with pytest.raises(AppException):\n            await fetch_dify_datasets_api(\n                dify_api_base=dify_api_base,\n                api_key=api_key,\n                authorization=mock_auth_header\n            )\n\n        # Logger.error should be called for service errors\n        dify_mocks['logger'].error.assert_called()\n\n    @pytest.mark.asyncio\n    async def test_fetch_dify_datasets_api_special_characters_in_api_key(self, dify_mocks):\n        \"\"\"Test endpoint handles special characters in API key.\"\"\"\n        mock_auth_header = \"Bearer test-token\"\n        dify_api_base = \"https://dify.example.com\"\n        api_key = \"sk-abc123xyz!@#$%^&*()\"\n\n        expected_result = {\n            \"indices\": [],\n            \"count\": 0,\n            \"indices_info\": [],\n            \"pagination\": {\"embedding_available\": False}\n        }\n\n        dify_mocks['get_current_user_id'].return_value = (\n            \"test_user_id\", \"test_tenant_id\"\n        )\n        dify_mocks['fetch_dify'].return_value = expected_result\n\n        result = await fetch_dify_datasets_api(\n            dify_api_base=dify_api_base,\n            api_key=api_key,\n            authorization=mock_auth_header\n        )\n\n        # Verify the API key was passed through correctly\n        dify_mocks['fetch_dify'].assert_called_once_with(\n            dify_api_base=\"https://dify.example.com\",\n            api_key=api_key\n        )\n\n        assert result.status_code == HTTPStatus.OK\n\n    @pytest.mark.asyncio\n    async def test_fetch_dify_datasets_api_different_api_base_formats(self, dify_mocks):\n        \"\"\"Test endpoint handles different API base URL formats.\"\"\"\n        mock_auth_header = \"Bearer test-token\"\n        api_key = \"test-api-key\"\n\n        test_cases = [\n            (\"https://dify.example.com\", \"https://dify.example.com\"),\n            (\"https://dify.example.com/\", \"https://dify.example.com\"),\n            (\"http://localhost:8000\", \"http://localhost:8000\"),\n            (\"http://localhost:8000/\", \"http://localhost:8000\"),\n        ]\n\n        for input_url, expected_url in test_cases:\n            dify_mocks['fetch_dify'].reset_mock()\n            dify_mocks['get_current_user_id'].return_value = (\n                \"test_user_id\", \"test_tenant_id\"\n            )\n            dify_mocks['fetch_dify'].return_value = {\n                \"indices\": [],\n                \"count\": 0,\n                \"indices_info\": [],\n                \"pagination\": {\"embedding_available\": False}\n            }\n\n            await fetch_dify_datasets_api(\n                dify_api_base=input_url,\n                api_key=api_key,\n                authorization=mock_auth_header\n            )\n\n            # Verify URL normalization\n            call_kwargs = dify_mocks['fetch_dify'].call_args[1]\n            assert call_kwargs['dify_api_base'] == expected_url\n\n\nclass TestDifyAppRouter:\n    \"\"\"Test class for Dify app router configuration.\"\"\"\n\n    def test_router_prefix(self):\n        \"\"\"Test that router has correct prefix.\"\"\"\n        assert router.prefix == \"/dify\"\n\n    def test_router_has_datasets_endpoint(self):\n        \"\"\"Test that router has the datasets endpoint registered.\"\"\"\n        routes = [route.path for route in router.routes]\n        # Router prefix is /dify, and route is /datasets, so full path is /dify/datasets\n        assert \"/dify/datasets\" in routes\n\n\nclass TestDifyAppExceptionHandlers:\n    \"\"\"Test exception handlers in dify_app.py\"\"\"\n\n    def test_dify_app_exception_handler_functions_exist(self):\n        \"\"\"Test that dify_app module can import exception handlers if defined.\"\"\"\n        # dify_app.py doesn't define its own exception handlers,\n        # it relies on the global middleware in config_app.py\n        # This test verifies the module structure\n        from backend.apps import dify_app\n        from backend.apps.dify_app import router, logger, fetch_dify_datasets_api\n\n        # Verify router exists\n        assert router is not None\n        # Verify logger exists\n        assert logger is not None\n        # Verify endpoint function exists\n        assert fetch_dify_datasets_api is not None\n\n    @pytest.mark.asyncio\n    async def test_dify_app_logs_service_error(self, dify_mocks):\n        \"\"\"Test that service errors are logged and converted to AppException.\"\"\"\n        mock_auth_header = \"Bearer test-token\"\n        dify_api_base = \"https://dify.example.com\"\n        api_key = \"test-api-key\"\n\n        dify_mocks['get_current_user_id'].return_value = (\n            \"test_user_id\", \"test_tenant_id\"\n        )\n\n        # Test with service error\n        dify_mocks['fetch_dify'].side_effect = Exception(\n            \"URL connection error\")\n\n        from consts.exceptions import AppException\n\n        with pytest.raises(AppException) as exc_info:\n            await fetch_dify_datasets_api(\n                dify_api_base=dify_api_base,\n                api_key=api_key,\n                authorization=mock_auth_header\n            )\n\n        # Verify it's a DIFY_SERVICE_ERROR\n        assert \"Failed to fetch Dify datasets\" in str(exc_info.value.message)\n        dify_mocks['logger'].error.assert_called()\n\n\nclass TestFetchDifyDatasetsApiConfigValidation:\n    \"\"\"Test class for fetch_dify_datasets_api endpoint configuration validation.\n\n    Tests the first try-except block that handles invalid Dify configuration\n    (e.g., when dify_api_base.rstrip('/') fails due to invalid input).\n    \"\"\"\n\n    @pytest.mark.asyncio\n    async def test_fetch_dify_datasets_api_invalid_dify_api_base_none(self):\n        \"\"\"Test endpoint raises DIFY_CONFIG_INVALID when dify_api_base is None.\"\"\"\n        from consts.exceptions import AppException\n        from consts.error_code import ErrorCode\n\n        mock_auth_header = \"Bearer test-token\"\n        dify_api_base = None\n        api_key = \"test-api-key\"\n\n        with patch('backend.apps.dify_app.get_current_user_id') as mock_get_current_user_id, \\\n                patch('backend.apps.dify_app.fetch_dify_datasets_impl') as mock_fetch_dify, \\\n                patch('backend.apps.dify_app.logger') as mock_logger:\n\n            mock_get_current_user_id.return_value = (\n                \"test_user_id\", \"test_tenant_id\"\n            )\n\n            with pytest.raises(AppException) as exc_info:\n                await fetch_dify_datasets_api(\n                    dify_api_base=dify_api_base,\n                    api_key=api_key,\n                    authorization=mock_auth_header\n                )\n\n            assert exc_info.value.error_code == ErrorCode.DIFY_CONFIG_INVALID\n            assert \"Invalid URL format\" in str(exc_info.value.message)\n            mock_logger.error.assert_called()\n            mock_fetch_dify.assert_not_called()\n\n    @pytest.mark.asyncio\n    async def test_fetch_dify_datasets_api_invalid_dify_api_base_integer(self):\n        \"\"\"Test endpoint raises DIFY_CONFIG_INVALID when dify_api_base is an integer.\"\"\"\n        from consts.exceptions import AppException\n        from consts.error_code import ErrorCode\n\n        mock_auth_header = \"Bearer test-token\"\n        dify_api_base = 12345  # Invalid type - should be string\n        api_key = \"test-api-key\"\n\n        with patch('backend.apps.dify_app.get_current_user_id') as mock_get_current_user_id, \\\n                patch('backend.apps.dify_app.fetch_dify_datasets_impl') as mock_fetch_dify, \\\n                patch('backend.apps.dify_app.logger') as mock_logger:\n\n            mock_get_current_user_id.return_value = (\n                \"test_user_id\", \"test_tenant_id\"\n            )\n\n            with pytest.raises(AppException) as exc_info:\n                await fetch_dify_datasets_api(\n                    dify_api_base=dify_api_base,\n                    api_key=api_key,\n                    authorization=mock_auth_header\n                )\n\n            assert exc_info.value.error_code == ErrorCode.DIFY_CONFIG_INVALID\n            assert \"Invalid URL format\" in str(exc_info.value.message)\n            mock_logger.error.assert_called()\n            mock_fetch_dify.assert_not_called()\n\n    @pytest.mark.asyncio\n    async def test_fetch_dify_datasets_api_invalid_dify_api_base_object(self):\n        \"\"\"Test endpoint raises DIFY_CONFIG_INVALID when dify_api_base is an object without rstrip.\"\"\"\n        from consts.exceptions import AppException\n        from consts.error_code import ErrorCode\n\n        mock_auth_header = \"Bearer test-token\"\n        # Invalid type - should be string\n        dify_api_base = {\"url\": \"https://dify.example.com\"}\n        api_key = \"test-api-key\"\n\n        with patch('backend.apps.dify_app.get_current_user_id') as mock_get_current_user_id, \\\n                patch('backend.apps.dify_app.fetch_dify_datasets_impl') as mock_fetch_dify, \\\n                patch('backend.apps.dify_app.logger') as mock_logger:\n\n            mock_get_current_user_id.return_value = (\n                \"test_user_id\", \"test_tenant_id\"\n            )\n\n            with pytest.raises(AppException) as exc_info:\n                await fetch_dify_datasets_api(\n                    dify_api_base=dify_api_base,\n                    api_key=api_key,\n                    authorization=mock_auth_header\n                )\n\n            assert exc_info.value.error_code == ErrorCode.DIFY_CONFIG_INVALID\n            mock_logger.error.assert_called()\n            mock_fetch_dify.assert_not_called()\n\n    @pytest.mark.asyncio\n    async def test_fetch_dify_datasets_api_invalid_dify_api_base_list(self):\n        \"\"\"Test endpoint raises DIFY_CONFIG_INVALID when dify_api_base is a list.\"\"\"\n        from consts.exceptions import AppException\n        from consts.error_code import ErrorCode\n\n        mock_auth_header = \"Bearer test-token\"\n        # Invalid type - should be string\n        dify_api_base = [\"https://dify.example.com\"]\n        api_key = \"test-api-key\"\n\n        with patch('backend.apps.dify_app.get_current_user_id') as mock_get_current_user_id, \\\n                patch('backend.apps.dify_app.fetch_dify_datasets_impl') as mock_fetch_dify, \\\n                patch('backend.apps.dify_app.logger') as mock_logger:\n\n            mock_get_current_user_id.return_value = (\n                \"test_user_id\", \"test_tenant_id\"\n            )\n\n            with pytest.raises(AppException) as exc_info:\n                await fetch_dify_datasets_api(\n                    dify_api_base=dify_api_base,\n                    api_key=api_key,\n                    authorization=mock_auth_header\n                )\n\n            assert exc_info.value.error_code == ErrorCode.DIFY_CONFIG_INVALID\n            mock_logger.error.assert_called()\n            mock_fetch_dify.assert_not_called()\n\n    @pytest.mark.asyncio\n    async def test_fetch_dify_datasets_api_dify_config_invalid_logs_error_message(self):\n        \"\"\"Test that DIFY_CONFIG_INVALID error logs the actual exception message.\"\"\"\n        from consts.exceptions import AppException\n        from consts.error_code import ErrorCode\n\n        mock_auth_header = \"Bearer test-token\"\n        # This will cause AttributeError: 'NoneType' object has no attribute 'rstrip'\n        dify_api_base = None\n        api_key = \"test-api-key\"\n\n        with patch('backend.apps.dify_app.get_current_user_id') as mock_get_current_user_id, \\\n                patch('backend.apps.dify_app.fetch_dify_datasets_impl') as mock_fetch_dify, \\\n                patch('backend.apps.dify_app.logger') as mock_logger:\n\n            mock_get_current_user_id.return_value = (\n                \"test_user_id\", \"test_tenant_id\"\n            )\n\n            with pytest.raises(AppException) as exc_info:\n                await fetch_dify_datasets_api(\n                    dify_api_base=dify_api_base,\n                    api_key=api_key,\n                    authorization=mock_auth_header\n                )\n\n            # Verify logger was called with the error\n            mock_logger.error.assert_called_once()\n            call_args = mock_logger.error.call_args\n            assert \"Invalid Dify configuration\" in call_args[0][0]\n            assert \"'NoneType' object has no attribute 'rstrip'\" in call_args[\n                0][0] or \"NoneType\" in call_args[0][0]\n\n    @pytest.mark.asyncio\n    async def test_fetch_dify_datasets_api_success_after_config_validation(self):\n        \"\"\"Test endpoint succeeds when config validation passes (valid string input).\"\"\"\n        mock_auth_header = \"Bearer test-token\"\n        dify_api_base = \"https://dify.example.com\"\n        api_key = \"test-api-key\"\n\n        expected_result = {\n            \"indices\": [\"ds-1\"],\n            \"count\": 1,\n            \"indices_info\": [],\n            \"pagination\": {\"embedding_available\": True}\n        }\n\n        with patch('backend.apps.dify_app.get_current_user_id') as mock_get_current_user_id, \\\n                patch('backend.apps.dify_app.fetch_dify_datasets_impl') as mock_fetch_dify, \\\n                patch('backend.apps.dify_app.logger') as mock_logger:\n\n            mock_get_current_user_id.return_value = (\n                \"test_user_id\", \"test_tenant_id\"\n            )\n            mock_fetch_dify.return_value = expected_result\n\n            result = await fetch_dify_datasets_api(\n                dify_api_base=dify_api_base,\n                api_key=api_key,\n                authorization=mock_auth_header\n            )\n\n            assert isinstance(result, JSONResponse)\n            assert result.status_code == HTTPStatus.OK\n            # Verify the service was called with normalized URL\n            mock_fetch_dify.assert_called_once_with(\n                dify_api_base=\"https://dify.example.com\",\n                api_key=api_key\n            )\n\n\nclass TestAppExceptionReRaising:\n    \"\"\"Test class for AppException re-raising to global middleware.\n\n    Tests the except AppException: raise block that propagates AppException\n    from the service layer to be handled by global middleware.\n    \"\"\"\n\n    @pytest.mark.asyncio\n    async def test_service_raises_app_exception_re_raised_to_middleware(self):\n        \"\"\"Test that AppException from service is re-raised for global middleware.\"\"\"\n        from consts.exceptions import AppException\n        from consts.error_code import ErrorCode\n\n        mock_auth_header = \"Bearer test-token\"\n        dify_api_base = \"https://dify.example.com\"\n        api_key = \"test-api-key\"\n\n        # Create an AppException that the service would raise\n        service_exception = AppException(\n            ErrorCode.DIFY_CONNECTION_ERROR,\n            \"Failed to connect to Dify API\"\n        )\n\n        with patch('backend.apps.dify_app.get_current_user_id') as mock_get_current_user_id, \\\n                patch('backend.apps.dify_app.fetch_dify_datasets_impl') as mock_fetch_dify, \\\n                patch('backend.apps.dify_app.logger') as mock_logger:\n\n            mock_get_current_user_id.return_value = (\n                \"test_user_id\", \"test_tenant_id\"\n            )\n            mock_fetch_dify.side_effect = service_exception\n\n            # The AppException should be re-raised (not converted)\n            with pytest.raises(AppException) as exc_info:\n                await fetch_dify_datasets_api(\n                    dify_api_base=dify_api_base,\n                    api_key=api_key,\n                    authorization=mock_auth_header\n                )\n\n            # Verify the original AppException is re-raised with its original error code\n            assert exc_info.value.error_code == ErrorCode.DIFY_CONNECTION_ERROR\n            assert \"Failed to connect to Dify API\" in str(\n                exc_info.value.message)\n\n    @pytest.mark.asyncio\n    async def test_service_raises_dify_config_invalid_app_exception(self):\n        \"\"\"Test that DIFY_CONFIG_INVALID AppException from service is re-raised.\"\"\"\n        from consts.exceptions import AppException\n        from consts.error_code import ErrorCode\n\n        mock_auth_header = \"Bearer test-token\"\n        dify_api_base = \"https://dify.example.com\"\n        api_key = \"test-api-key\"\n\n        # Simulate service raising DIFY_CONFIG_INVALID\n        service_exception = AppException(\n            ErrorCode.DIFY_CONFIG_INVALID,\n            \"Invalid Dify API key format\"\n        )\n\n        with patch('backend.apps.dify_app.get_current_user_id') as mock_get_current_user_id, \\\n                patch('backend.apps.dify_app.fetch_dify_datasets_impl') as mock_fetch_dify, \\\n                patch('backend.apps.dify_app.logger') as mock_logger:\n\n            mock_get_current_user_id.return_value = (\n                \"test_user_id\", \"test_tenant_id\"\n            )\n            mock_fetch_dify.side_effect = service_exception\n\n            # Should re-raise the AppException\n            with pytest.raises(AppException) as exc_info:\n                await fetch_dify_datasets_api(\n                    dify_api_base=dify_api_base,\n                    api_key=api_key,\n                    authorization=mock_auth_header\n                )\n\n            assert exc_info.value.error_code == ErrorCode.DIFY_CONFIG_INVALID\n\n    @pytest.mark.asyncio\n    async def test_service_raises_dify_auth_error_app_exception(self):\n        \"\"\"Test that DIFY_AUTH_ERROR AppException from service is re-raised.\"\"\"\n        from consts.exceptions import AppException\n        from consts.error_code import ErrorCode\n\n        mock_auth_header = \"Bearer test-token\"\n        dify_api_base = \"https://dify.example.com\"\n        api_key = \"test-api-key\"\n\n        # Simulate service raising DIFY_AUTH_ERROR\n        service_exception = AppException(\n            ErrorCode.DIFY_AUTH_ERROR,\n            \"Invalid API key provided\"\n        )\n\n        with patch('backend.apps.dify_app.get_current_user_id') as mock_get_current_user_id, \\\n                patch('backend.apps.dify_app.fetch_dify_datasets_impl') as mock_fetch_dify, \\\n                patch('backend.apps.dify_app.logger') as mock_logger:\n\n            mock_get_current_user_id.return_value = (\n                \"test_user_id\", \"test_tenant_id\"\n            )\n            mock_fetch_dify.side_effect = service_exception\n\n            # Should re-raise the AppException\n            with pytest.raises(AppException) as exc_info:\n                await fetch_dify_datasets_api(\n                    dify_api_base=dify_api_base,\n                    api_key=api_key,\n                    authorization=mock_auth_header\n                )\n\n            assert exc_info.value.error_code == ErrorCode.DIFY_AUTH_ERROR\n\n    @pytest.mark.asyncio\n    async def test_service_raises_app_exception_with_details(self):\n        \"\"\"Test that AppException with details from service is re-raised.\"\"\"\n        from consts.exceptions import AppException\n        from consts.error_code import ErrorCode\n\n        mock_auth_header = \"Bearer test-token\"\n        dify_api_base = \"https://dify.example.com\"\n        api_key = \"test-api-key\"\n\n        # AppException with details\n        service_exception = AppException(\n            ErrorCode.DIFY_CONNECTION_ERROR,\n            \"Connection failed\",\n            details={\"host\": \"dify.example.com\", \"port\": 443}\n        )\n\n        with patch('backend.apps.dify_app.get_current_user_id') as mock_get_current_user_id, \\\n                patch('backend.apps.dify_app.fetch_dify_datasets_impl') as mock_fetch_dify, \\\n                patch('backend.apps.dify_app.logger') as mock_logger:\n\n            mock_get_current_user_id.return_value = (\n                \"test_user_id\", \"test_tenant_id\"\n            )\n            mock_fetch_dify.side_effect = service_exception\n\n            # Should re-raise the AppException with details preserved\n            with pytest.raises(AppException) as exc_info:\n                await fetch_dify_datasets_api(\n                    dify_api_base=dify_api_base,\n                    api_key=api_key,\n                    authorization=mock_auth_header\n                )\n\n            assert exc_info.value.error_code == ErrorCode.DIFY_CONNECTION_ERROR\n            assert exc_info.value.details == {\n                \"host\": \"dify.example.com\", \"port\": 443}\n\n    @pytest.mark.asyncio\n    async def test_service_raises_dify_rate_limit_app_exception(self):\n        \"\"\"Test that DIFY_RATE_LIMIT AppException from service is re-raised.\"\"\"\n        from consts.exceptions import AppException\n        from consts.error_code import ErrorCode\n\n        mock_auth_header = \"Bearer test-token\"\n        dify_api_base = \"https://dify.example.com\"\n        api_key = \"test-api-key\"\n\n        # Simulate service raising DIFY_RATE_LIMIT\n        service_exception = AppException(\n            ErrorCode.DIFY_RATE_LIMIT,\n            \"Rate limit exceeded\"\n        )\n\n        with patch('backend.apps.dify_app.get_current_user_id') as mock_get_current_user_id, \\\n                patch('backend.apps.dify_app.fetch_dify_datasets_impl') as mock_fetch_dify, \\\n                patch('backend.apps.dify_app.logger') as mock_logger:\n\n            mock_get_current_user_id.return_value = (\n                \"test_user_id\", \"test_tenant_id\"\n            )\n            mock_fetch_dify.side_effect = service_exception\n\n            # Should re-raise the AppException\n            with pytest.raises(AppException) as exc_info:\n                await fetch_dify_datasets_api(\n                    dify_api_base=dify_api_base,\n                    api_key=api_key,\n                    authorization=mock_auth_header\n                )\n\n            assert exc_info.value.error_code == ErrorCode.DIFY_RATE_LIMIT\n\n    @pytest.mark.asyncio\n    async def test_app_exception_not_wrapped_or_converted(self):\n        \"\"\"Test that AppException is not wrapped or converted to another exception.\"\"\"\n        from consts.exceptions import AppException\n        from consts.error_code import ErrorCode\n\n        mock_auth_header = \"Bearer test-token\"\n        dify_api_base = \"https://dify.example.com\"\n        api_key = \"test-api-key\"\n\n        # Use a non-Dify error code to verify it's not converted\n        service_exception = AppException(\n            ErrorCode.COMMON_UNAUTHORIZED,\n            \"Unauthorized access\"\n        )\n\n        with patch('backend.apps.dify_app.get_current_user_id') as mock_get_current_user_id, \\\n                patch('backend.apps.dify_app.fetch_dify_datasets_impl') as mock_fetch_dify, \\\n                patch('backend.apps.dify_app.logger') as mock_logger:\n\n            mock_get_current_user_id.return_value = (\n                \"test_user_id\", \"test_tenant_id\"\n            )\n            mock_fetch_dify.side_effect = service_exception\n\n            # Should re-raise the exact same AppException\n            with pytest.raises(AppException) as exc_info:\n                await fetch_dify_datasets_api(\n                    dify_api_base=dify_api_base,\n                    api_key=api_key,\n                    authorization=mock_auth_header\n                )\n\n            # Verify it's the exact same exception instance (not a new one)\n            assert exc_info.value is service_exception\n            assert exc_info.value.error_code == ErrorCode.COMMON_UNAUTHORIZED\n"
  },
  {
    "path": "test/backend/app/test_file_management_app.py",
    "content": "\"\"\"\nUnit tests for backend.apps.file_management_app\n\nWe stub external dependencies before importing the app module to avoid\nside effects and real network/storage calls.\n\"\"\"\n\nimport sys\nimport types\nfrom typing import Any, AsyncGenerator, List\n\nimport pytest\nfrom unittest.mock import AsyncMock, MagicMock\n\n\n# --- Bootstrap: insert stub modules BEFORE importing the app under test ---\n\n# Add project backend root to sys.path\nimport os\n\nCURRENT_DIR = os.path.dirname(os.path.abspath(__file__))\nPROJECT_ROOT = os.path.abspath(os.path.join(CURRENT_DIR, \"../../..\"))\nBACKEND_ROOT = os.path.join(PROJECT_ROOT, \"backend\")\nif BACKEND_ROOT not in sys.path:\n    sys.path.append(BACKEND_ROOT)\n\n\n# Stub services.file_management_service to prevent importing the real service\nservices_pkg = types.ModuleType(\"services\")\nservices_pkg.__path__ = []\nsys.modules.setdefault(\"services\", services_pkg)\n\nsfms_stub = types.ModuleType(\"services.file_management_service\")\n\nasync def _stub_upload_to_minio(files, folder):\n    return []\n\nasync def _stub_upload_files_impl(destination, file, folder, index_name):\n    return [], [], []\n\nasync def _stub_get_file_url_impl(object_name: str, expires: int):\n    return {\"success\": True, \"url\": f\"http://example.com/{object_name}\"}\n\nasync def _stub_get_file_stream_impl(object_name: str):\n    return AsyncMock(), \"application/octet-stream\"\n\nasync def _stub_delete_file_impl(object_name: str):\n    return {\"success\": True}\n\nasync def _stub_list_files_impl(prefix: str, limit: int | None = None):\n    files = [{\"name\": \"a.txt\", \"url\": \"http://u\"}]\n    return files[:limit] if limit else files\n\nasync def _stub_preprocess_files_generator(*_: Any, **__: Any) -> AsyncGenerator[str, None]:\n    yield \"data: {\\\"type\\\": \\\"progress\\\", \\\"progress\\\": 0}\\n\\n\"\n    yield \"data: {\\\"type\\\": \\\"complete\\\", \\\"progress\\\": 100}\\n\\n\"\n\nasync def _stub_preview_file_impl(object_name: str):\n    \"\"\"Default stub for preview_file_impl\"\"\"\n    from io import BytesIO\n    return BytesIO(b\"PDF content\"), \"application/pdf\"\n\nsfms_stub.preview_file_impl = _stub_preview_file_impl\nsfms_stub.upload_to_minio = _stub_upload_to_minio\nsfms_stub.upload_files_impl = _stub_upload_files_impl\nsfms_stub.get_file_url_impl = _stub_get_file_url_impl\nsfms_stub.get_file_stream_impl = _stub_get_file_stream_impl\nsfms_stub.delete_file_impl = _stub_delete_file_impl\nsfms_stub.list_files_impl = _stub_list_files_impl\nsfms_stub.preprocess_files_generator = _stub_preprocess_files_generator\nsys.modules[\"services.file_management_service\"] = sfms_stub\nsetattr(services_pkg, \"file_management_service\", sfms_stub)\n\n\n# Stub utils.auth_utils.get_current_user_info\nutils_pkg = types.ModuleType(\"utils\")\nutils_pkg.__path__ = []\nsys.modules.setdefault(\"utils\", utils_pkg)\n\nauth_utils_stub = types.ModuleType(\"utils.auth_utils\")\ndef _stub_get_current_user_info(authorization, request):\n    return (\"user1\", \"tenant1\", \"en\")\nauth_utils_stub.get_current_user_info = _stub_get_current_user_info\nsys.modules[\"utils.auth_utils\"] = auth_utils_stub\nsetattr(utils_pkg, \"auth_utils\", auth_utils_stub)\n\n\n# Stub utils.file_management_utils.trigger_data_process\nfmu_stub = types.ModuleType(\"utils.file_management_utils\")\nasync def _stub_trigger_data_process(files: List[dict], params: Any):\n    return [{\"task_id\": 1}]\nfmu_stub.trigger_data_process = _stub_trigger_data_process\nsys.modules[\"utils.file_management_utils\"] = fmu_stub\nsetattr(utils_pkg, \"file_management_utils\", fmu_stub)\n\n\n# Stub consts.model.ProcessParams\nconsts_pkg = types.ModuleType(\"consts\")\nconsts_pkg.__path__ = []\nsys.modules.setdefault(\"consts\", consts_pkg)\n\nmodel_stub = types.ModuleType(\"consts.model\")\nclass ProcessParams:  # minimal stub\n    def __init__(self, chunking_strategy: str, source_type: str, index_name: str, authorization: str | None):\n        self.chunking_strategy = chunking_strategy\n        self.source_type = source_type\n        self.index_name = index_name\n        self.authorization = authorization\nmodel_stub.ProcessParams = ProcessParams\nsys.modules.setdefault(\"consts.model\", model_stub)\nsetattr(consts_pkg, \"model\", model_stub)\n\n# Stub consts.exceptions with real exception classes so isinstance checks work\nexceptions_stub = types.ModuleType(\"consts.exceptions\")\nclass NotFoundException(Exception): pass\nclass OfficeConversionException(Exception): pass\nclass UnsupportedFileTypeException(Exception): pass\nclass FileTooLargeException(Exception): pass\nexceptions_stub.NotFoundException = NotFoundException\nexceptions_stub.OfficeConversionException = OfficeConversionException\nexceptions_stub.UnsupportedFileTypeException = UnsupportedFileTypeException\nexceptions_stub.FileTooLargeException = FileTooLargeException\nsys.modules[\"consts.exceptions\"] = exceptions_stub\nsetattr(consts_pkg, \"exceptions\", exceptions_stub)\n\n\n# Import the module under test after stubbing deps\nfile_management_app = __import__(\n    \"backend.apps.file_management_app\", fromlist=[\"*\"]\n)\n\n\n# --- Helpers ---\n\ndef make_upload_file(filename: str, content: bytes = b\"data\"):\n    f = MagicMock()\n    f.filename = filename\n    f.read = AsyncMock(return_value=content)\n    return f\n\n\n# --- Tests ---\n\n@pytest.mark.asyncio\nasync def test_options_route_ok():\n    resp = await file_management_app.options_route(\"any/path\")\n    assert resp.status_code == 200\n    assert resp.body == b'{\"detail\":\"OK\"}'\n\n\n@pytest.mark.asyncio\nasync def test_upload_files_success(monkeypatch):\n    async def fake_upload_impl(dest, files, folder, index_name):\n        return [], [\"/abs/path1\"], [\"a.txt\"]\n\n    monkeypatch.setattr(file_management_app, \"upload_files_impl\", fake_upload_impl)\n\n    result = await file_management_app.upload_files(\n        file=[make_upload_file(\"a.txt\")], destination=\"local\", folder=\"attachments\", index_name=None\n    )\n    assert result.status_code == 200\n    content = result.body.decode()\n    assert \"Files uploaded successfully\" in content\n    assert \"a.txt\" in content and \"/abs/path1\" in content\n\n\n@pytest.mark.asyncio\nasync def test_upload_files_no_files_bad_request():\n    with pytest.raises(Exception) as ei:\n        await file_management_app.upload_files(file=[], destination=\"local\", folder=\"attachments\", index_name=None)\n    assert \"No files in the request\" in str(ei.value)\n\n\n@pytest.mark.asyncio\nasync def test_upload_files_no_valid_files_uploaded(monkeypatch):\n    async def fake_upload_impl(dest, files, folder, index_name):\n        return [\"err\"], [], []\n\n    monkeypatch.setattr(file_management_app, \"upload_files_impl\", fake_upload_impl)\n    with pytest.raises(Exception) as ei:\n        await file_management_app.upload_files(\n            file=[make_upload_file(\"x.txt\")], destination=\"minio\", folder=\"attachments\", index_name=None\n        )\n    assert \"No valid files uploaded\" in str(ei.value)\n\n\n@pytest.mark.asyncio\nasync def test_process_files_success(monkeypatch):\n    async def fake_trigger(files, params):\n        return [{\"task_id\": 123}]\n\n    monkeypatch.setattr(file_management_app, \"trigger_data_process\", fake_trigger)\n    resp = await file_management_app.process_files(\n        files=[{\"path_or_url\": \"/tmp/a.txt\", \"filename\": \"a.txt\"}],\n        chunking_strategy=\"basic\",\n        index_name=\"kb1\",\n        destination=\"local\",\n        authorization=\"Bearer x\",\n    )\n    assert resp.status_code == 201\n    assert \"Files processing triggered successfully\" in resp.body.decode()\n\n\n@pytest.mark.asyncio\nasync def test_process_files_error_none(monkeypatch):\n    async def fake_trigger(files, params):\n        return None\n\n    monkeypatch.setattr(file_management_app, \"trigger_data_process\", fake_trigger)\n    with pytest.raises(Exception) as ei:\n        await file_management_app.process_files(\n            files=[{\"path_or_url\": \"x\", \"filename\": \"x\"}],\n            chunking_strategy=\"basic\",\n            index_name=\"kb\",\n            destination=\"local\",\n            authorization=None,\n        )\n    assert \"Data process service failed\" in str(ei.value)\n\n\n@pytest.mark.asyncio\nasync def test_process_files_error_message(monkeypatch):\n    async def fake_trigger(files, params):\n        return {\"status\": \"error\", \"message\": \"boom\"}\n\n    monkeypatch.setattr(file_management_app, \"trigger_data_process\", fake_trigger)\n    with pytest.raises(Exception) as ei:\n        await file_management_app.process_files(\n            files=[{\"path_or_url\": \"x\", \"filename\": \"x\"}],\n            chunking_strategy=\"basic\",\n            index_name=\"kb\",\n            destination=\"local\",\n            authorization=None,\n        )\n    assert \"boom\" in str(ei.value)\n\n\n@pytest.mark.asyncio\nasync def test_storage_upload_files_counts(monkeypatch):\n    async def fake_upload(files, folder):\n        return [\n            {\"success\": True, \"file_name\": \"a.txt\"},\n            {\"success\": False, \"file_name\": \"b.txt\", \"error\": \"x\"},\n        ]\n\n    monkeypatch.setattr(file_management_app, \"upload_to_minio\", fake_upload)\n    f1 = make_upload_file(\"a.txt\")\n    f2 = make_upload_file(\"b.txt\")\n    result = await file_management_app.storage_upload_files(files=[f1, f2], folder=\"attachments\")\n    assert result[\"message\"].startswith(\"Processed 2\")\n    assert result[\"success_count\"] == 1\n    assert result[\"failed_count\"] == 1\n    assert len(result[\"results\"]) == 2\n\n\n@pytest.mark.asyncio\nasync def test_get_storage_files_include_and_strip_urls(monkeypatch):\n    async def fake_list(prefix, limit):\n        return [{\"name\": \"a\", \"url\": \"http://u\"}, {\"name\": \"b\"}]\n\n    monkeypatch.setattr(file_management_app, \"list_files_impl\", fake_list)\n    # include URLs\n    out1 = await file_management_app.get_storage_files(prefix=\"\", limit=10, include_urls=True)\n    assert out1[\"total\"] == 2\n    assert out1[\"files\"][0][\"url\"] == \"http://u\"\n    # strip URLs\n    out2 = await file_management_app.get_storage_files(prefix=\"\", limit=10, include_urls=False)\n    assert out2[\"total\"] == 2\n    assert \"url\" not in out2[\"files\"][0]\n\n\n@pytest.mark.asyncio\nasync def test_get_storage_files_error(monkeypatch):\n    async def boom(prefix, limit):\n        raise RuntimeError(\"oops\")\n\n    monkeypatch.setattr(file_management_app, \"list_files_impl\", boom)\n    with pytest.raises(Exception) as ei:\n        await file_management_app.get_storage_files(prefix=\"p\", limit=1, include_urls=True)\n    assert \"Failed to get file list\" in str(ei.value)\n\n\n@pytest.mark.asyncio\nasync def test_get_storage_file_redirect(monkeypatch):\n    async def fake_get_url(object_name, expires):\n        return {\"success\": True, \"url\": \"http://example.com/a\"}\n\n    monkeypatch.setattr(file_management_app, \"get_file_url_impl\", fake_get_url)\n    resp = await file_management_app.get_storage_file(object_name=\"a.txt\", download=\"redirect\", expires=60, filename=\"a.txt\")\n    # Starlette RedirectResponse defaults to 307\n    assert 300 <= resp.status_code < 400\n    assert resp.headers[\"location\"] == \"http://example.com/a\"\n\n\n@pytest.mark.asyncio\nasync def test_get_storage_file_stream(monkeypatch):\n    async def fake_get_stream(object_name):\n        async def gen():\n            yield b\"chunk1\"\n        return gen(), \"text/plain\"\n\n    monkeypatch.setattr(file_management_app, \"get_file_stream_impl\", fake_get_stream)\n    resp = await file_management_app.get_storage_file(object_name=\"a.txt\", download=\"stream\", expires=60, filename=\"a.txt\")\n    assert resp.headers[\"content-type\"].startswith(\"text/plain\")\n    assert resp.media_type == \"text/plain\"\n    # Content-Disposition should be \"attachment\" not \"inline\", and filename should be extracted from object_name\n    content_disposition = resp.headers.get(\"content-disposition\", \"\")\n    assert \"attachment\" in content_disposition\n    assert \"a.txt\" in content_disposition\n    # consume stream\n    chunks = []\n    async for part in resp.body_iterator:  # type: ignore[attr-defined]\n        chunks.append(part)\n    assert b\"chunk1\" in b\"\".join(chunks)\n\n\n@pytest.mark.asyncio\nasync def test_get_storage_file_base64_success(monkeypatch):\n    \"\"\"get_storage_file should return JSON with base64 content when download=base64.\"\"\"\n    async def fake_get_stream(object_name):\n        class FakeStream:\n            def read(self):\n                return b\"hello-bytes\"\n\n        return FakeStream(), \"image/png\"\n\n    monkeypatch.setattr(file_management_app, \"get_file_stream_impl\", fake_get_stream)\n\n    resp = await file_management_app.get_storage_file(\n        object_name=\"attachments/img.png\",\n        download=\"base64\",\n        expires=60,\n        filename=None,\n    )\n\n    assert resp.status_code == 200\n    data = resp.body.decode()\n    assert '\"success\":true' in data\n    assert '\"content_type\":\"image/png\"' in data\n\n\n@pytest.mark.asyncio\nasync def test_get_storage_file_base64_read_error(monkeypatch):\n    \"\"\"get_storage_file should raise HTTPException when reading stream fails in base64 mode.\"\"\"\n    async def fake_get_stream(object_name):\n        class FakeStream:\n            def read(self):\n                raise RuntimeError(\"read-failed\")\n\n        return FakeStream(), \"image/png\"\n\n    monkeypatch.setattr(file_management_app, \"get_file_stream_impl\", fake_get_stream)\n\n    with pytest.raises(Exception) as exc_info:\n        await file_management_app.get_storage_file(\n            object_name=\"attachments/img.png\",\n            download=\"base64\",\n            expires=60,\n            filename=None,\n        )\n\n    assert \"Failed to read file content for base64 encoding\" in str(exc_info.value)\n\n@pytest.mark.asyncio\nasync def test_get_storage_file_metadata(monkeypatch):\n    async def fake_get_url(object_name, expires):\n        return {\"success\": True, \"url\": \"http://example.com/x\"}\n\n    monkeypatch.setattr(file_management_app, \"get_file_url_impl\", fake_get_url)\n    result = await file_management_app.get_storage_file(object_name=\"x\", download=\"ignore\", expires=10, filename=\"x.txt\")\n    assert result[\"url\"] == \"http://example.com/x\"\n\n\n@pytest.mark.asyncio\nasync def test_get_storage_file_error(monkeypatch):\n    async def boom_url(object_name, expires):\n        raise RuntimeError(\"x\")\n\n    monkeypatch.setattr(file_management_app, \"get_file_url_impl\", boom_url)\n    with pytest.raises(Exception) as ei:\n        await file_management_app.get_storage_file(object_name=\"x\", download=\"ignore\", expires=1, filename=\"x.txt\")\n    assert \"Failed to get file information\" in str(ei.value)\n\n\n@pytest.mark.asyncio\nasync def test_remove_storage_file_success(monkeypatch):\n    async def ok_delete(object_name):\n        return {\"success\": True}\n\n    monkeypatch.setattr(file_management_app, \"delete_file_impl\", ok_delete)\n    result = await file_management_app.remove_storage_file(object_name=\"x\")\n    assert result[\"success\"] is True\n\n\n@pytest.mark.asyncio\nasync def test_remove_storage_file_error(monkeypatch):\n    async def boom_delete(object_name):\n        raise RuntimeError(\"nope\")\n\n    monkeypatch.setattr(file_management_app, \"delete_file_impl\", boom_delete)\n    with pytest.raises(Exception) as ei:\n        await file_management_app.remove_storage_file(object_name=\"x\")\n    assert \"Failed to delete file\" in str(ei.value)\n\n\n@pytest.mark.asyncio\nasync def test_get_storage_file_batch_urls_validation_error():\n    with pytest.raises(Exception) as ei:\n        await file_management_app.get_storage_file_batch_urls(request_data={}, expires=10)\n    assert \"object_names\" in str(ei.value)\n\n\n@pytest.mark.asyncio\nasync def test_get_storage_file_batch_urls_mixed(monkeypatch):\n    def fake_get(object_name, expires):\n        # Synchronous stub to match non-awaited usage in implementation\n        if object_name == \"ok\":\n            return {\"success\": True, \"url\": \"http://u\"}\n        raise RuntimeError(\"bad\")\n\n    monkeypatch.setattr(file_management_app, \"get_file_url_impl\", fake_get)\n    out = await file_management_app.get_storage_file_batch_urls(\n        request_data={\"object_names\": [\"ok\", \"bad\"]}, expires=5\n    )\n    assert out[\"total\"] == 2\n    assert out[\"success_count\"] == 1\n    assert any(item[\"object_name\"] == \"bad\" and item[\"success\"] is False for item in out[\"results\"])\n\n\n# --- Tests for build_content_disposition_header ---\n\ndef test_build_content_disposition_header_ascii():\n    \"\"\"Test build_content_disposition_header with ASCII filename\"\"\"\n    result = file_management_app.build_content_disposition_header(\"test.pdf\")\n    assert result == 'attachment; filename=\"test.pdf\"'\n\n\ndef test_build_content_disposition_header_non_ascii():\n    \"\"\"Test build_content_disposition_header with non-ASCII filename\"\"\"\n    result = file_management_app.build_content_disposition_header(\"测试文件.pdf\")\n    assert 'attachment; filename=' in result\n    assert 'filename*=UTF-8' in result\n    assert '测试文件' in result or '%E6%B5%8B%E8%AF%95' in result\n\n\ndef test_build_content_disposition_header_non_ascii_with_extension():\n    \"\"\"Test build_content_disposition_header with non-ASCII filename and extension\"\"\"\n    result = file_management_app.build_content_disposition_header(\"文档.docx\")\n    assert 'attachment; filename=' in result\n    assert 'filename*=UTF-8' in result\n    assert '.docx' in result\n\n\ndef test_build_content_disposition_header_exception_handling(monkeypatch):\n    \"\"\"Test build_content_disposition_header exception handling\"\"\"\n    def boom(_value: str, safe: str = \"\") -> str:\n        raise RuntimeError(\"quote failure\")\n\n    monkeypatch.setattr(\"backend.apps.file_management_app.quote\", boom)\n\n    result = file_management_app.build_content_disposition_header(\"测试.pdf\")\n    assert 'attachment; filename=' in result\n    assert 'filename*=UTF-8' not in result\n\n\ndef test_build_content_disposition_header_inline_ascii():\n    \"\"\"Test build_content_disposition_header with inline=True for ASCII filename\"\"\"\n    result = file_management_app.build_content_disposition_header(\"test.pdf\", inline=True)\n    assert result == 'inline; filename=\"test.pdf\"'\n    assert 'attachment' not in result\n\n\ndef test_build_content_disposition_header_inline_non_ascii():\n    \"\"\"Test build_content_disposition_header with inline=True for non-ASCII filename\"\"\"\n    result = file_management_app.build_content_disposition_header(\"测试文档.pdf\", inline=True)\n    assert 'inline; filename=' in result\n    assert 'attachment' not in result\n    assert 'filename*=UTF-8' in result\n\n\ndef test_build_content_disposition_header_inline_false_explicit():\n    \"\"\"Test build_content_disposition_header with inline=False explicitly\"\"\"\n    result = file_management_app.build_content_disposition_header(\"test.pdf\", inline=False)\n    assert result == 'attachment; filename=\"test.pdf\"'\n    assert 'inline' not in result\n\n\ndef test_build_content_disposition_header_inline_exception_handling(monkeypatch):\n    \"\"\"Test build_content_disposition_header inline mode exception handling\"\"\"\n    def boom(_value: str, safe: str = \"\") -> str:\n        raise RuntimeError(\"quote failure\")\n\n    monkeypatch.setattr(\"backend.apps.file_management_app.quote\", boom)\n\n    result = file_management_app.build_content_disposition_header(\"中文.pdf\", inline=True)\n    assert 'inline; filename=' in result\n    assert 'attachment' not in result\n\n\n# --- Tests for get_storage_file with filename parameter ---\n\n@pytest.mark.asyncio\nasync def test_get_storage_file_stream_with_filename(monkeypatch):\n    \"\"\"Test get_storage_file stream mode with filename parameter\"\"\"\n    async def fake_get_stream(object_name):\n        async def gen():\n            yield b\"chunk1\"\n        return gen(), \"application/pdf\"\n\n    monkeypatch.setattr(file_management_app, \"get_file_stream_impl\", fake_get_stream)\n    resp = await file_management_app.get_storage_file(\n        object_name=\"attachments/file.pdf\", \n        download=\"stream\", \n        expires=60,\n        filename=\"原始文件名.pdf\"\n    )\n    assert resp.media_type == \"application/pdf\"\n    content_disposition = resp.headers.get(\"content-disposition\", \"\")\n    assert \"原始文件名.pdf\" in content_disposition or \"filename*=UTF-8\" in content_disposition\n\n\n@pytest.mark.asyncio\nasync def test_get_storage_file_stream_without_filename(monkeypatch):\n    \"\"\"Test get_storage_file stream mode without filename parameter (extract from object_name)\"\"\"\n    async def fake_get_stream(object_name):\n        async def gen():\n            yield b\"chunk1\"\n        return gen(), \"text/plain\"\n\n    monkeypatch.setattr(file_management_app, \"get_file_stream_impl\", fake_get_stream)\n    resp = await file_management_app.get_storage_file(\n        object_name=\"attachments/test.txt\", \n        download=\"stream\", \n        expires=60,\n        filename=None\n    )\n    assert resp.media_type == \"text/plain\"\n    content_disposition = resp.headers.get(\"content-disposition\", \"\")\n    assert \"test.txt\" in content_disposition\n\n\n@pytest.mark.asyncio\nasync def test_get_storage_file_stream_error(monkeypatch):\n    \"\"\"Test get_storage_file stream mode error handling\"\"\"\n    async def fake_get_stream(object_name):\n        raise RuntimeError(\"Stream error\")\n\n    monkeypatch.setattr(file_management_app, \"get_file_stream_impl\", fake_get_stream)\n    with pytest.raises(Exception) as ei:\n        await file_management_app.get_storage_file(\n            object_name=\"test.txt\", \n            download=\"stream\", \n            expires=60,\n            filename=\"test.txt\"\n        )\n    assert \"Failed to get file information\" in str(ei.value)\n\n\n# --- Tests for download_datamate_file ---\n\n@pytest.mark.asyncio\nasync def test_download_datamate_file_with_url(monkeypatch):\n    \"\"\"Test download_datamate_file with full URL\"\"\"\n    mock_response = MagicMock()\n    mock_response.status_code = 200\n    mock_response.content = b\"file content\"\n    mock_response.headers = {\"Content-Type\": \"application/pdf\", \"Content-Disposition\": 'attachment; filename=\"test.pdf\"'}\n    mock_response.raise_for_status = MagicMock()\n\n    mock_client = MagicMock()\n    mock_client.get = AsyncMock(return_value=mock_response)\n    mock_client.__aenter__ = AsyncMock(return_value=mock_client)\n    mock_client.__aexit__ = AsyncMock(return_value=None)\n\n    monkeypatch.setattr(\"httpx.AsyncClient\", lambda **kwargs: mock_client)\n    \n    resp = await file_management_app.download_datamate_file(\n        url=\"http://example.com/api/data-management/datasets/123/files/456/download\",\n        base_url=None,\n        dataset_id=None,\n        file_id=None,\n        filename=\"test.pdf\",\n        authorization=None,\n    )\n    assert resp.media_type == \"application/pdf\"\n    content_disposition = resp.headers.get(\"content-disposition\", \"\")\n    assert \"test.pdf\" in content_disposition\n\n\n@pytest.mark.asyncio\nasync def test_download_datamate_file_with_parts(monkeypatch):\n    \"\"\"Test download_datamate_file with base_url, dataset_id, file_id\"\"\"\n    mock_response = MagicMock()\n    mock_response.status_code = 200\n    mock_response.content = b\"file content\"\n    mock_response.headers = {\"Content-Type\": \"application/pdf\"}\n    mock_response.raise_for_status = MagicMock()\n\n    mock_client = MagicMock()\n    mock_client.get = AsyncMock(return_value=mock_response)\n    mock_client.__aenter__ = AsyncMock(return_value=mock_client)\n    mock_client.__aexit__ = AsyncMock(return_value=None)\n\n    monkeypatch.setattr(\"httpx.AsyncClient\", lambda **kwargs: mock_client)\n    \n    resp = await file_management_app.download_datamate_file(\n        url=None,\n        base_url=\"http://example.com\",\n        dataset_id=\"123\",\n        file_id=\"456\",\n        filename=None,\n        authorization=None,\n    )\n    assert resp.media_type == \"application/pdf\"\n\n\n@pytest.mark.asyncio\nasync def test_download_datamate_file_404_error(monkeypatch):\n    \"\"\"Test download_datamate_file with 404 error\"\"\"\n    mock_response = MagicMock()\n    mock_response.status_code = 404\n    mock_response.headers = {}\n    mock_response.raise_for_status = MagicMock()\n\n    mock_client = MagicMock()\n    mock_client.get = AsyncMock(return_value=mock_response)\n    mock_client.__aenter__ = AsyncMock(return_value=mock_client)\n    mock_client.__aexit__ = AsyncMock(return_value=None)\n\n    monkeypatch.setattr(\"httpx.AsyncClient\", lambda **kwargs: mock_client)\n    \n    with pytest.raises(Exception) as ei:\n        await file_management_app.download_datamate_file(\n            url=\"http://example.com/api/data-management/datasets/123/files/456/download\",\n            base_url=None,\n            dataset_id=None,\n            file_id=None,\n            filename=None,\n            authorization=None,\n        )\n    assert \"File not found\" in str(ei.value)\n\n\n@pytest.mark.asyncio\nasync def test_download_datamate_file_http_error(monkeypatch):\n    \"\"\"Test download_datamate_file with HTTP error\"\"\"\n    import httpx\n    \n    mock_client = MagicMock()\n    mock_client.get = AsyncMock(side_effect=httpx.HTTPError(\"Network error\"))\n    mock_client.__aenter__ = AsyncMock(return_value=mock_client)\n    mock_client.__aexit__ = AsyncMock(return_value=None)\n\n    monkeypatch.setattr(\"httpx.AsyncClient\", lambda **kwargs: mock_client)\n    \n    with pytest.raises(Exception) as ei:\n        await file_management_app.download_datamate_file(\n            url=\"http://example.com/api/data-management/datasets/123/files/456/download\",\n            base_url=None,\n            dataset_id=None,\n            file_id=None,\n            filename=None,\n            authorization=None,\n        )\n    assert \"Failed to download file from URL\" in str(ei.value)\n\n\n@pytest.mark.asyncio\nasync def test_download_datamate_file_missing_params():\n    \"\"\"Test download_datamate_file with missing parameters\"\"\"\n    with pytest.raises(Exception) as ei:\n        await file_management_app.download_datamate_file(\n            url=None,\n            base_url=None,\n            dataset_id=None,\n            file_id=None,\n            filename=None,\n            authorization=None,\n        )\n    assert \"Either url or (base_url, dataset_id, file_id) must be provided\" in str(ei.value)\n\n\n@pytest.mark.asyncio\nasync def test_download_datamate_file_extract_filename_from_content_disposition(monkeypatch):\n    \"\"\"Test download_datamate_file extracting filename from Content-Disposition header\"\"\"\n    mock_response = MagicMock()\n    mock_response.status_code = 200\n    mock_response.content = b\"file content\"\n    mock_response.headers = {\"Content-Type\": \"application/pdf\", \"Content-Disposition\": 'attachment; filename=\"extracted.pdf\"'}\n    mock_response.raise_for_status = MagicMock()\n\n    mock_client = MagicMock()\n    mock_client.get = AsyncMock(return_value=mock_response)\n    mock_client.__aenter__ = AsyncMock(return_value=mock_client)\n    mock_client.__aexit__ = AsyncMock(return_value=None)\n\n    monkeypatch.setattr(\"httpx.AsyncClient\", lambda **kwargs: mock_client)\n    \n    resp = await file_management_app.download_datamate_file(\n        url=\"http://example.com/api/data-management/datasets/123/files/456/download\",\n        base_url=None,\n        dataset_id=None,\n        file_id=None,\n        filename=None,\n        authorization=None,\n    )\n    content_disposition = resp.headers.get(\"content-disposition\", \"\")\n    assert \"extracted.pdf\" in content_disposition\n\n\n@pytest.mark.asyncio\nasync def test_download_datamate_file_extract_filename_from_url(monkeypatch):\n    \"\"\"Test download_datamate_file extracting filename from URL path\"\"\"\n    mock_response = MagicMock()\n    mock_response.status_code = 200\n    mock_response.content = b\"file content\"\n    mock_response.headers = {\"Content-Type\": \"application/pdf\"}\n    mock_response.raise_for_status = MagicMock()\n\n    mock_client = MagicMock()\n    mock_client.get = AsyncMock(return_value=mock_response)\n    mock_client.__aenter__ = AsyncMock(return_value=mock_client)\n    mock_client.__aexit__ = AsyncMock(return_value=None)\n\n    monkeypatch.setattr(\"httpx.AsyncClient\", lambda **kwargs: mock_client)\n    \n    resp = await file_management_app.download_datamate_file(\n        url=\"http://example.com/api/data-management/datasets/123/files/456/download\",\n        base_url=None,\n        dataset_id=None,\n        file_id=None,\n        filename=None,\n        authorization=None,\n    )\n    content_disposition = resp.headers.get(\"content-disposition\", \"\")\n    assert \"attachment\" in content_disposition\n\n\n@pytest.mark.asyncio\nasync def test_download_datamate_file_with_authorization(monkeypatch):\n    \"\"\"Test download_datamate_file with authorization header\"\"\"\n    mock_response = MagicMock()\n    mock_response.status_code = 200\n    mock_response.content = b\"file content\"\n    mock_response.headers = {\"Content-Type\": \"application/pdf\"}\n    mock_response.raise_for_status = MagicMock()\n\n    call_args_list = []\n    async def fake_httpx_get(url, headers=None, follow_redirects=True):\n        call_args_list.append((url, headers))\n        return mock_response\n\n    mock_client = MagicMock()\n    mock_client.get = fake_httpx_get\n    mock_client.__aenter__ = AsyncMock(return_value=mock_client)\n    mock_client.__aexit__ = AsyncMock(return_value=None)\n\n    monkeypatch.setattr(\"httpx.AsyncClient\", lambda **kwargs: mock_client)\n    \n    await file_management_app.download_datamate_file(\n        url=\"http://example.com/api/data-management/datasets/123/files/456/download\",\n        base_url=None,\n        dataset_id=None,\n        file_id=None,\n        filename=None,\n        authorization=\"Bearer token123\",\n    )\n    assert len(call_args_list) > 0\n    assert call_args_list[0][1].get(\"Authorization\") == \"Bearer token123\"\n\n\n@pytest.mark.asyncio\nasync def test_download_datamate_file_unexpected_exception(monkeypatch):\n    \"\"\"Unexpected exceptions should surface with new 500 message.\"\"\"\n\n    def fail_normalize(_url: str):\n        raise ValueError(\"boom\")\n\n    monkeypatch.setattr(\n        file_management_app,\n        \"_normalize_datamate_download_url\",\n        fail_normalize,\n    )\n\n    with pytest.raises(Exception) as exc:\n        await file_management_app.download_datamate_file(\n            url=\"http://example.com/api/data-management/datasets/123/files/456/download\",\n            base_url=None,\n            dataset_id=None,\n            file_id=None,\n            filename=None,\n            authorization=None,\n        )\n    assert \"Failed to download file: boom\" in str(exc.value)\n\n\n# --- Tests for _normalize_datamate_download_url ---\n\ndef test_normalize_datamate_download_url_valid():\n    \"\"\"Test _normalize_datamate_download_url with valid URL\"\"\"\n    url = \"http://example.com/api/data-management/datasets/123/files/456/download\"\n    result = file_management_app._normalize_datamate_download_url(url)\n    assert result == url\n\n\ndef test_normalize_datamate_download_url_adds_scheme():\n    \"\"\"URLs without scheme should default to https://\"\"\"\n    url = \"example.com/api/data-management/datasets/123/files/456/download\"\n    result = file_management_app._normalize_datamate_download_url(url)\n    assert result.startswith(\"http://example.com\")\n\n\ndef test_normalize_datamate_download_url_with_prefix():\n    \"\"\"Test _normalize_datamate_download_url with URL prefix\"\"\"\n    url = \"http://example.com/prefix/api/data-management/datasets/123/files/456/download\"\n    result = file_management_app._normalize_datamate_download_url(url)\n    assert \"/prefix/api/data-management/datasets/123/files/456/download\" in result\n\n\ndef test_normalize_datamate_download_url_missing_data_management():\n    \"\"\"Test _normalize_datamate_download_url with missing data-management segment\"\"\"\n    with pytest.raises(Exception) as ei:\n        file_management_app._normalize_datamate_download_url(\"http://example.com/invalid/url\")\n    assert \"missing 'data-management' segment\" in str(ei.value)\n\n\ndef test_normalize_datamate_download_url_invalid_structure():\n    \"\"\"Test _normalize_datamate_download_url with invalid URL structure\"\"\"\n    with pytest.raises(Exception) as ei:\n        file_management_app._normalize_datamate_download_url(\"http://example.com/data-management/invalid\")\n    assert \"unable to parse dataset_id or file_id\" in str(ei.value)\n\n\n# --- Tests for _build_datamate_url_from_parts ---\n\ndef test_build_datamate_url_from_parts_with_api():\n    \"\"\"Test _build_datamate_url_from_parts with base_url ending with /api\"\"\"\n    result = file_management_app._build_datamate_url_from_parts(\n        \"http://example.com/api\",\n        \"123\",\n        \"456\"\n    )\n    assert \"/api/data-management/datasets/123/files/456/download\" in result\n\n\ndef test_build_datamate_url_from_parts_without_scheme():\n    \"\"\"base_url without scheme should default to https://\"\"\"\n    result = file_management_app._build_datamate_url_from_parts(\n        \"example.com\",\n        \"123\",\n        \"456\"\n    )\n    assert result.startswith(\"http://example.com/api/\")\n\n\ndef test_build_datamate_url_from_parts_without_api():\n    \"\"\"Test _build_datamate_url_from_parts with base_url without /api\"\"\"\n    result = file_management_app._build_datamate_url_from_parts(\n        \"http://example.com\",\n        \"123\",\n        \"456\"\n    )\n    assert \"/api/data-management/datasets/123/files/456/download\" in result\n\n\ndef test_build_datamate_url_from_parts_with_slash():\n    \"\"\"Test _build_datamate_url_from_parts with base_url ending with slash\"\"\"\n    result = file_management_app._build_datamate_url_from_parts(\n        \"http://example.com/\",\n        \"123\",\n        \"456\"\n    )\n    assert \"/api/data-management/datasets/123/files/456/download\" in result\n\n\ndef test_build_datamate_url_from_parts_appends_api_segment():\n    \"\"\"Ensure /api is appended when missing from base path\"\"\"\n    result = file_management_app._build_datamate_url_from_parts(\n        \"http://example.com/service\",\n        \"123\",\n        \"456\"\n    )\n    assert result.startswith(\"http://example.com/service/api/\")\n\n\ndef test_build_datamate_url_from_parts_defaults_api_when_no_path():\n    \"\"\"Ensure empty base path defaults to /api\"\"\"\n    result = file_management_app._build_datamate_url_from_parts(\n        \"http://example.com\",\n        \"123\",\n        \"456\"\n    )\n    assert result.startswith(\"http://example.com/api/\")\n\n\ndef test_build_datamate_url_from_parts_trailing_slash_branch(monkeypatch):\n    \"\"\"Force branch where rstrip result still ends with slash.\"\"\"\n\n    class DummyPath:\n        def rstrip(self, chars=None):\n            return \"/prefix/\"\n\n    class DummyParseResult:\n        scheme = \"http\"\n        netloc = \"example.com\"\n        path = DummyPath()\n\n    def fake_urlparse(_url: str):\n        return DummyParseResult()\n\n    monkeypatch.setattr(\"backend.apps.file_management_app.urlparse\", fake_urlparse)\n\n    result = file_management_app._build_datamate_url_from_parts(\n        \"http://placeholder\",\n        \"123\",\n        \"456\"\n    )\n    assert result.startswith(\"http://example.com/prefix/api/\")\n\n\ndef test_build_datamate_url_from_parts_empty_base_url():\n    \"\"\"Test _build_datamate_url_from_parts with empty base_url\"\"\"\n    with pytest.raises(Exception) as ei:\n        file_management_app._build_datamate_url_from_parts(\"\", \"123\", \"456\")\n    assert \"base_url is required\" in str(ei.value)\n\n\n# --- Tests for preview_file endpoint ---\n\n@pytest.mark.asyncio\nasync def test_preview_file_pdf_success(monkeypatch):\n    \"\"\"Test previewing a PDF file returns StreamingResponse with inline disposition\"\"\"\n    from io import BytesIO\n    \n    async def fake_preview(object_name):\n        return BytesIO(b\"PDF content\"), \"application/pdf\"\n    \n    monkeypatch.setattr(file_management_app, \"preview_file_impl\", fake_preview)\n    \n    resp = await file_management_app.preview_file(\n        object_name=\"documents/test.pdf\",\n        filename=\"test.pdf\"\n    )\n    \n    assert resp.media_type == \"application/pdf\"\n    content_disposition = resp.headers.get(\"content-disposition\", \"\")\n    assert \"inline\" in content_disposition\n    assert \"test.pdf\" in content_disposition\n    assert resp.headers.get(\"cache-control\") == \"public, max-age=3600\"\n\n\n@pytest.mark.asyncio\nasync def test_preview_file_image_success(monkeypatch):\n    \"\"\"Test previewing an image file returns correct content type\"\"\"\n    from io import BytesIO\n    \n    async def fake_preview(object_name):\n        return BytesIO(b\"PNG image data\"), \"image/png\"\n    \n    monkeypatch.setattr(file_management_app, \"preview_file_impl\", fake_preview)\n    \n    resp = await file_management_app.preview_file(\n        object_name=\"images/photo.png\",\n        filename=\"photo.png\"\n    )\n    \n    assert resp.media_type == \"image/png\"\n    content_disposition = resp.headers.get(\"content-disposition\", \"\")\n    assert \"inline\" in content_disposition\n\n\n@pytest.mark.asyncio\nasync def test_preview_file_text_success(monkeypatch):\n    \"\"\"Test previewing a text file returns correct content type\"\"\"\n    from io import BytesIO\n    \n    async def fake_preview(object_name):\n        return BytesIO(b\"Hello World\"), \"text/plain\"\n    \n    monkeypatch.setattr(file_management_app, \"preview_file_impl\", fake_preview)\n    \n    resp = await file_management_app.preview_file(\n        object_name=\"files/readme.txt\",\n        filename=\"readme.txt\"\n    )\n    \n    assert resp.media_type == \"text/plain\"\n    content_disposition = resp.headers.get(\"content-disposition\", \"\")\n    assert \"inline\" in content_disposition\n\n\n@pytest.mark.asyncio\nasync def test_preview_file_without_filename_extracts_from_path(monkeypatch):\n    \"\"\"Test previewing without filename parameter extracts name from object_name\"\"\"\n    from io import BytesIO\n    \n    async def fake_preview(object_name):\n        return BytesIO(b\"PDF content\"), \"application/pdf\"\n    \n    monkeypatch.setattr(file_management_app, \"preview_file_impl\", fake_preview)\n    \n    resp = await file_management_app.preview_file(\n        object_name=\"folder/subfolder/document.pdf\",\n        filename=None\n    )\n    \n    content_disposition = resp.headers.get(\"content-disposition\", \"\")\n    assert \"document.pdf\" in content_disposition\n\n\n@pytest.mark.asyncio\nasync def test_preview_file_chinese_filename(monkeypatch):\n    \"\"\"Test previewing with Chinese filename uses UTF-8 encoding\"\"\"\n    from io import BytesIO\n    \n    async def fake_preview(object_name):\n        return BytesIO(b\"PDF content\"), \"application/pdf\"\n    \n    monkeypatch.setattr(file_management_app, \"preview_file_impl\", fake_preview)\n    \n    resp = await file_management_app.preview_file(\n        object_name=\"documents/test.pdf\",\n        filename=\"测试文档.pdf\"\n    )\n    \n    content_disposition = resp.headers.get(\"content-disposition\", \"\")\n    assert \"inline\" in content_disposition\n    assert \"filename*=UTF-8\" in content_disposition or \"测试文档\" in content_disposition\n\n\n@pytest.mark.asyncio\nasync def test_preview_file_too_large_error(monkeypatch):\n    \"\"\"Test previewing a file exceeding size limit returns 413\"\"\"\n    _FileTooLargeException = sys.modules[\"consts.exceptions\"].FileTooLargeException\n\n    async def fake_preview(object_name):\n        raise _FileTooLargeException(\"File size 110 MB exceeds the 100 MB preview limit\")\n\n    monkeypatch.setattr(file_management_app, \"preview_file_impl\", fake_preview)\n\n    with pytest.raises(Exception) as ei:\n        await file_management_app.preview_file(\n            object_name=\"files/huge.pdf\",\n            filename=None\n        )\n    assert \"100 MB\" in str(ei.value)\n\n\n@pytest.mark.asyncio\nasync def test_preview_file_unsupported_format_error(monkeypatch):\n    \"\"\"Test previewing an unsupported file format returns 400\"\"\"\n    _UnsupportedFileTypeException = sys.modules[\"consts.exceptions\"].UnsupportedFileTypeException\n\n    async def fake_preview(object_name):\n        raise _UnsupportedFileTypeException(\"Unsupported file format for preview\")\n\n    monkeypatch.setattr(file_management_app, \"preview_file_impl\", fake_preview)\n    \n    with pytest.raises(Exception) as ei:\n        await file_management_app.preview_file(\n            object_name=\"files/archive.zip\",\n            filename=None\n        )\n    assert \"not supported for preview\" in str(ei.value)\n\n\n@pytest.mark.asyncio\nasync def test_preview_file_internal_error(monkeypatch):\n    \"\"\"Test previewing with internal error returns 500\"\"\"\n    async def fake_preview(object_name):\n        raise Exception(\"Internal server error\")\n    \n    monkeypatch.setattr(file_management_app, \"preview_file_impl\", fake_preview)\n    \n    with pytest.raises(Exception) as ei:\n        await file_management_app.preview_file(\n            object_name=\"files/test.pdf\",\n            filename=None\n        )\n    assert \"Failed to preview file\" in str(ei.value)\n\n\n@pytest.mark.asyncio\nasync def test_preview_file_office_converted_to_pdf(monkeypatch):\n    \"\"\"Test previewing an Office document returns converted PDF\"\"\"\n    from io import BytesIO\n    \n    async def fake_preview(object_name):\n        # Office documents are converted to PDF by preview_file_impl\n        return BytesIO(b\"Converted PDF content\"), \"application/pdf\"\n    \n    monkeypatch.setattr(file_management_app, \"preview_file_impl\", fake_preview)\n    \n    resp = await file_management_app.preview_file(\n        object_name=\"documents/report.docx\",\n        filename=\"report.docx\"\n    )\n    \n    # Content type should be PDF after conversion\n    assert resp.media_type == \"application/pdf\"\n    content_disposition = resp.headers.get(\"content-disposition\", \"\")\n    assert \"inline\" in content_disposition\n\n\n@pytest.mark.asyncio\nasync def test_preview_file_has_etag_header(monkeypatch):\n    \"\"\"Test preview response includes ETag header for caching\"\"\"\n    from io import BytesIO\n    \n    async def fake_preview(object_name):\n        return BytesIO(b\"PDF content\"), \"application/pdf\"\n    \n    monkeypatch.setattr(file_management_app, \"preview_file_impl\", fake_preview)\n    \n    resp = await file_management_app.preview_file(\n        object_name=\"documents/test.pdf\",\n        filename=\"test.pdf\"\n    )\n    \n    etag = resp.headers.get(\"etag\", \"\")\n    assert \"documents/test.pdf\" in etag\n\n\n@pytest.mark.asyncio\nasync def test_preview_file_simple_object_name_without_slash(monkeypatch):\n    \"\"\"Test previewing with simple object name without slash\"\"\"\n    from io import BytesIO\n    \n    async def fake_preview(object_name):\n        return BytesIO(b\"PDF content\"), \"application/pdf\"\n    \n    monkeypatch.setattr(file_management_app, \"preview_file_impl\", fake_preview)\n    \n    resp = await file_management_app.preview_file(\n        object_name=\"simple.pdf\",\n        filename=None\n    )\n    \n    content_disposition = resp.headers.get(\"content-disposition\", \"\")\n    assert \"simple.pdf\" in content_disposition\n\n\n@pytest.mark.asyncio\nasync def test_preview_file_does_not_exist_error(monkeypatch):\n    \"\"\"Test previewing with 'does not exist' error message returns 404\"\"\"\n    _NotFoundException = sys.modules[\"consts.exceptions\"].NotFoundException\n\n    async def fake_preview(object_name):\n        raise _NotFoundException(\"The specified key does not exist\")\n\n    monkeypatch.setattr(file_management_app, \"preview_file_impl\", fake_preview)\n    \n    with pytest.raises(Exception) as ei:\n        await file_management_app.preview_file(\n            object_name=\"missing/file.pdf\",\n            filename=None\n        )\n    assert \"File not found\" in str(ei.value)\n\n\n@pytest.mark.asyncio\nasync def test_preview_file_office_conversion_error(monkeypatch):\n    \"\"\"OfficeConversionException from preview_file_impl → HTTP 500 with conversion detail.\"\"\"\n    _OfficeConversionException = sys.modules[\"consts.exceptions\"].OfficeConversionException\n\n    async def fake_preview(object_name):\n        raise _OfficeConversionException(\"LibreOffice conversion failed\")\n\n    monkeypatch.setattr(file_management_app, \"preview_file_impl\", fake_preview)\n\n    with pytest.raises(Exception) as ei:\n        await file_management_app.preview_file(\n            object_name=\"files/report.docx\",\n            filename=None\n        )\n    assert \"Failed to preview file\" in str(ei.value)\n\n\n"
  },
  {
    "path": "test/backend/app/test_group_app.py",
    "content": "import pytest\nfrom unittest.mock import patch, MagicMock, AsyncMock\nimport sys\nimport os\nfrom typing import Optional\n\n# Add path for correct imports\nsys.path.insert(0, os.path.join(os.path.dirname(__file__), \"../../../backend\"))\n\n# Mock external dependencies\nsys.modules['boto3'] = MagicMock()\nsys.modules['psycopg2'] = MagicMock()\nsys.modules['supabase'] = MagicMock()\n\n# Apply critical patches before importing any modules\nstorage_client_mock = MagicMock()\nminio_mock = MagicMock()\nminio_mock._ensure_bucket_exists = MagicMock()\nminio_mock.client = MagicMock()\n\npatch('nexent.storage.storage_client_factory.create_storage_client_from_config', return_value=storage_client_mock).start()\npatch('nexent.storage.minio_config.MinIOStorageConfig.validate', lambda self: None).start()\npatch('backend.database.client.MinioClient', return_value=minio_mock).start()\npatch('database.client.MinioClient', return_value=minio_mock).start()\npatch('elasticsearch.Elasticsearch', return_value=MagicMock()).start()\n\n# Import exception classes and models\nfrom consts.exceptions import NotFoundException, ValidationError, UnauthorizedError\nfrom consts.model import (\n    GroupCreateRequest, GroupUpdateRequest,\n    GroupUserRequest, GroupListRequest, SetDefaultGroupRequest,\n    GroupMembersUpdateRequest\n)\n\n# Import the modules we need\nfrom fastapi.testclient import TestClient\nfrom http import HTTPStatus\nfrom fastapi import FastAPI\n\n# Create a test client with a fresh FastAPI app\nfrom apps.group_app import router\n\napp = FastAPI()\napp.include_router(router)\nclient = TestClient(app)\n\n\nclass TestGroupCreation:\n    \"\"\"Test group creation endpoint\"\"\"\n\n    def test_create_group_success(self):\n        \"\"\"Test successful group creation\"\"\"\n        mock_group_info = {\n            \"group_id\": 1,\n            \"group_name\": \"Test Group\",\n            \"group_description\": \"Test Description\",\n            \"tenant_id\": \"tenant-123\",\n            \"created_by\": \"user-123\"\n        }\n\n        with patch('apps.group_app.get_current_user_id') as mock_get_user, \\\n             patch('apps.group_app.create_group') as mock_create_group:\n\n            mock_get_user.return_value = (\"user-123\", \"tenant-123\")\n            mock_create_group.return_value = mock_group_info\n\n            request_data = {\n                \"tenant_id\": \"tenant-123\",\n                \"group_name\": \"Test Group\",\n                \"group_description\": \"Test Description\"\n            }\n\n            response = client.post(\"/groups\", json=request_data, headers={\"Authorization\": \"Bearer token\"})\n\n            assert response.status_code == HTTPStatus.CREATED\n            data = response.json()\n            assert data[\"message\"] == \"Group created successfully\"\n            assert data[\"data\"] == mock_group_info\n            mock_get_user.assert_called_once_with(\"Bearer token\")\n            mock_create_group.assert_called_once_with(\n                tenant_id=\"tenant-123\",\n                group_name=\"Test Group\",\n                group_description=\"Test Description\",\n                user_id=\"user-123\"\n            )\n\n    def test_create_group_unauthorized(self):\n        \"\"\"Test group creation with unauthorized access\"\"\"\n        with patch('apps.group_app.get_current_user_id') as mock_get_user:\n            mock_get_user.side_effect = UnauthorizedError(\"Invalid token\")\n\n            request_data = {\n                \"tenant_id\": \"tenant-123\",\n                \"group_name\": \"Test Group\",\n                \"group_description\": \"Test Description\"\n            }\n\n            response = client.post(\"/groups\", json=request_data, headers={\"Authorization\": \"Bearer invalid\"})\n\n            assert response.status_code == HTTPStatus.UNAUTHORIZED\n            data = response.json()\n            assert \"Invalid token\" in data[\"detail\"]\n\n    def test_create_group_validation_error(self):\n        \"\"\"Test group creation with validation error from service layer\"\"\"\n        with patch('apps.group_app.get_current_user_id') as mock_get_user, \\\n             patch('apps.group_app.create_group') as mock_create_group:\n\n            mock_get_user.return_value = (\"user-123\", \"tenant-123\")\n            mock_create_group.side_effect = ValidationError(\"Group name already exists\")\n\n            request_data = {\n                \"tenant_id\": \"tenant-123\",\n                \"group_name\": \"Existing Group\",\n                \"group_description\": \"Test Description\"\n            }\n\n            response = client.post(\"/groups\", json=request_data, headers={\"Authorization\": \"Bearer token\"})\n\n            assert response.status_code == HTTPStatus.BAD_REQUEST\n            data = response.json()\n            assert \"Group name already exists\" in data[\"detail\"]\n\n    def test_create_group_unexpected_error(self):\n        \"\"\"Test group creation with unexpected error\"\"\"\n        with patch('apps.group_app.get_current_user_id') as mock_get_user, \\\n             patch('apps.group_app.create_group') as mock_create_group:\n\n            mock_get_user.return_value = (\"user-123\", \"tenant-123\")\n            mock_create_group.side_effect = Exception(\"Database connection failed\")\n\n            request_data = {\n                \"tenant_id\": \"tenant-123\",\n                \"group_name\": \"Test Group\",\n                \"group_description\": \"Test Description\"\n            }\n\n            response = client.post(\"/groups\", json=request_data, headers={\"Authorization\": \"Bearer token\"})\n\n            assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n            data = response.json()\n            assert data[\"detail\"] == \"Failed to create group\"\n\n\nclass TestGroupRetrieval:\n    \"\"\"Test group retrieval endpoints\"\"\"\n\n    def test_get_group_success(self):\n        \"\"\"Test successful group retrieval\"\"\"\n        mock_group_info = {\n            \"group_id\": 1,\n            \"group_name\": \"Test Group\",\n            \"group_description\": \"Test Description\",\n            \"tenant_id\": \"tenant-123\"\n        }\n\n        with patch('apps.group_app.get_group_info') as mock_get_group:\n            mock_get_group.return_value = mock_group_info\n\n            response = client.get(\"/groups/1\")\n\n            assert response.status_code == HTTPStatus.OK\n            data = response.json()\n            assert data[\"message\"] == \"Group retrieved successfully\"\n            assert data[\"data\"] == mock_group_info\n            mock_get_group.assert_called_once_with(1)\n\n    def test_get_group_not_found(self):\n        \"\"\"Test group retrieval when group doesn't exist\"\"\"\n        with patch('apps.group_app.get_group_info') as mock_get_group:\n            mock_get_group.return_value = None\n\n            response = client.get(\"/groups/999\")\n\n            assert response.status_code == HTTPStatus.NOT_FOUND\n            data = response.json()\n            assert \"Group 999 not found\" in data[\"detail\"]\n\n    def test_get_group_unexpected_error(self):\n        \"\"\"Test group retrieval with unexpected error\"\"\"\n        with patch('apps.group_app.get_group_info') as mock_get_group:\n            mock_get_group.side_effect = Exception(\"Database error\")\n\n            response = client.get(\"/groups/1\")\n\n            assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n            data = response.json()\n            assert data[\"detail\"] == \"Failed to retrieve group\"\n\n\nclass TestGroupListing:\n    \"\"\"Test group listing endpoint\"\"\"\n\n    def test_get_groups_success_with_pagination(self):\n        \"\"\"Test successful group listing with pagination\"\"\"\n        mock_groups = [\n            {\"group_id\": 1, \"group_name\": \"Group 1\", \"user_count\": 5},\n            {\"group_id\": 2, \"group_name\": \"Group 2\", \"user_count\": 3}\n        ]\n        mock_result = {\"groups\": mock_groups, \"total\": 2}\n\n        with patch('apps.group_app.get_tenant_info') as mock_get_tenant, \\\n             patch('apps.group_app.get_groups_by_tenant') as mock_get_groups:\n\n            mock_get_tenant.return_value = {\"tenant_id\": \"tenant-123\"}\n            mock_get_groups.return_value = mock_result\n\n            request_data = {\n                \"tenant_id\": \"tenant-123\",\n                \"page\": 1,\n                \"page_size\": 20,\n                \"sort_by\": \"created_at\",\n                \"sort_order\": \"desc\"\n            }\n\n            response = client.post(\"/groups/list\", json=request_data)\n\n            assert response.status_code == HTTPStatus.OK\n            data = response.json()\n            assert data[\"message\"] == \"Groups retrieved successfully\"\n            assert data[\"data\"] == mock_groups\n            assert data[\"total\"] == 2\n            assert data[\"pagination\"][\"page\"] == 1\n            assert data[\"pagination\"][\"page_size\"] == 20\n            assert data[\"pagination\"][\"total\"] == 2\n            assert data[\"pagination\"][\"total_pages\"] == 1\n            mock_get_groups.assert_called_once_with(\n                tenant_id=\"tenant-123\",\n                page=1,\n                page_size=20,\n                sort_by=\"created_at\",\n                sort_order=\"desc\"\n            )\n\n    def test_get_groups_success_without_pagination(self):\n        \"\"\"Test successful group listing without pagination (returns all data)\"\"\"\n        mock_groups = [\n            {\"group_id\": 1, \"group_name\": \"Group 1\", \"user_count\": 5},\n            {\"group_id\": 2, \"group_name\": \"Group 2\", \"user_count\": 3},\n            {\"group_id\": 3, \"group_name\": \"Group 3\", \"user_count\": 7}\n        ]\n        mock_result = {\"groups\": mock_groups, \"total\": 3}\n\n        with patch('apps.group_app.get_tenant_info') as mock_get_tenant, \\\n             patch('apps.group_app.get_groups_by_tenant') as mock_get_groups:\n\n            mock_get_tenant.return_value = {\"tenant_id\": \"tenant-123\"}\n            mock_get_groups.return_value = mock_result\n\n            request_data = {\n                \"tenant_id\": \"tenant-123\"\n            }\n\n            response = client.post(\"/groups/list\", json=request_data)\n\n            assert response.status_code == HTTPStatus.OK\n            data = response.json()\n            assert data[\"message\"] == \"Groups retrieved successfully\"\n            assert data[\"data\"] == mock_groups\n            assert data[\"total\"] == 3\n            assert \"pagination\" not in data\n            mock_get_groups.assert_called_once_with(\n                tenant_id=\"tenant-123\",\n                page=None,\n                page_size=None,\n                sort_by=\"created_at\",\n                sort_order=\"desc\"\n            )\n\n    def test_get_groups_success_with_only_page(self):\n        \"\"\"Test group listing with only page parameter (no pagination info in response)\"\"\"\n        mock_groups = [\n            {\"group_id\": 1, \"group_name\": \"Group 1\", \"user_count\": 5}\n        ]\n        mock_result = {\"groups\": mock_groups, \"total\": 1}\n\n        with patch('apps.group_app.get_tenant_info') as mock_get_tenant, \\\n             patch('apps.group_app.get_groups_by_tenant') as mock_get_groups:\n\n            mock_get_tenant.return_value = {\"tenant_id\": \"tenant-123\"}\n            mock_get_groups.return_value = mock_result\n\n            request_data = {\n                \"tenant_id\": \"tenant-123\",\n                \"page\": 1\n            }\n\n            response = client.post(\"/groups/list\", json=request_data)\n\n            assert response.status_code == HTTPStatus.OK\n            data = response.json()\n            assert data[\"message\"] == \"Groups retrieved successfully\"\n            assert \"pagination\" not in data\n\n    def test_get_groups_success_with_only_page_size(self):\n        \"\"\"Test group listing with only page_size parameter (no pagination info in response)\"\"\"\n        mock_groups = [\n            {\"group_id\": 1, \"group_name\": \"Group 1\", \"user_count\": 5}\n        ]\n        mock_result = {\"groups\": mock_groups, \"total\": 1}\n\n        with patch('apps.group_app.get_tenant_info') as mock_get_tenant, \\\n             patch('apps.group_app.get_groups_by_tenant') as mock_get_groups:\n\n            mock_get_tenant.return_value = {\"tenant_id\": \"tenant-123\"}\n            mock_get_groups.return_value = mock_result\n\n            request_data = {\n                \"tenant_id\": \"tenant-123\",\n                \"page_size\": 20\n            }\n\n            response = client.post(\"/groups/list\", json=request_data)\n\n            assert response.status_code == HTTPStatus.OK\n            data = response.json()\n            assert data[\"message\"] == \"Groups retrieved successfully\"\n            assert \"pagination\" not in data\n\n    def test_get_groups_success_with_asc_sort(self):\n        \"\"\"Test successful group listing with ascending sort order\"\"\"\n        mock_groups = [\n            {\"group_id\": 1, \"group_name\": \"Group 1\", \"user_count\": 5}\n        ]\n        mock_result = {\"groups\": mock_groups, \"total\": 1}\n\n        with patch('apps.group_app.get_tenant_info') as mock_get_tenant, \\\n             patch('apps.group_app.get_groups_by_tenant') as mock_get_groups:\n\n            mock_get_tenant.return_value = {\"tenant_id\": \"tenant-123\"}\n            mock_get_groups.return_value = mock_result\n\n            request_data = {\n                \"tenant_id\": \"tenant-123\",\n                \"page\": 1,\n                \"page_size\": 20,\n                \"sort_by\": \"created_at\",\n                \"sort_order\": \"asc\"\n            }\n\n            response = client.post(\"/groups/list\", json=request_data)\n\n            assert response.status_code == HTTPStatus.OK\n            data = response.json()\n            assert data[\"message\"] == \"Groups retrieved successfully\"\n            mock_get_groups.assert_called_once_with(\n                tenant_id=\"tenant-123\",\n                page=1,\n                page_size=20,\n                sort_by=\"created_at\",\n                sort_order=\"asc\"\n            )\n\n    def test_get_groups_success_with_custom_pagination(self):\n        \"\"\"Test successful group listing with custom pagination (multiple pages)\"\"\"\n        mock_groups = [\n            {\"group_id\": 2, \"group_name\": \"Group 2\", \"user_count\": 3}\n        ]\n        mock_result = {\"groups\": mock_groups, \"total\": 25}\n\n        with patch('apps.group_app.get_tenant_info') as mock_get_tenant, \\\n             patch('apps.group_app.get_groups_by_tenant') as mock_get_groups:\n\n            mock_get_tenant.return_value = {\"tenant_id\": \"tenant-123\"}\n            mock_get_groups.return_value = mock_result\n\n            request_data = {\n                \"tenant_id\": \"tenant-123\",\n                \"page\": 2,\n                \"page_size\": 10\n            }\n\n            response = client.post(\"/groups/list\", json=request_data)\n\n            assert response.status_code == HTTPStatus.OK\n            data = response.json()\n            assert data[\"message\"] == \"Groups retrieved successfully\"\n            assert data[\"pagination\"][\"page\"] == 2\n            assert data[\"pagination\"][\"page_size\"] == 10\n            assert data[\"pagination\"][\"total\"] == 25\n            assert data[\"pagination\"][\"total_pages\"] == 3  # ceil(25/10) = 3\n\n    def test_get_groups_tenant_not_found(self):\n        \"\"\"Test group listing when tenant doesn't exist\"\"\"\n        with patch('apps.group_app.get_tenant_info') as mock_get_tenant:\n            mock_get_tenant.side_effect = NotFoundException(\"Tenant not found\")\n\n            request_data = {\n                \"tenant_id\": \"invalid-tenant\",\n                \"page\": 1,\n                \"page_size\": 20\n            }\n\n            response = client.post(\"/groups/list\", json=request_data)\n\n            assert response.status_code == HTTPStatus.NOT_FOUND\n            data = response.json()\n            assert \"Tenant not found\" in data[\"detail\"]\n\n    def test_get_groups_unexpected_error(self):\n        \"\"\"Test group listing with unexpected error\"\"\"\n        with patch('apps.group_app.get_tenant_info') as mock_get_tenant, \\\n             patch('apps.group_app.get_groups_by_tenant') as mock_get_groups:\n\n            mock_get_tenant.return_value = {\"tenant_id\": \"tenant-123\"}\n            mock_get_groups.side_effect = Exception(\"Database error\")\n\n            request_data = {\n                \"tenant_id\": \"tenant-123\",\n                \"page\": 1,\n                \"page_size\": 20\n            }\n\n            response = client.post(\"/groups/list\", json=request_data)\n\n            assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n            data = response.json()\n            assert data[\"detail\"] == \"Failed to retrieve groups\"\n\n\nclass TestGroupUpdate:\n    \"\"\"Test group update endpoint\"\"\"\n\n    def test_update_group_success(self):\n        \"\"\"Test successful group update\"\"\"\n        with patch('apps.group_app.get_current_user_id') as mock_get_user, \\\n             patch('apps.group_app.update_group') as mock_update_group:\n\n            mock_get_user.return_value = (\"user-123\", \"tenant-123\")\n            mock_update_group.return_value = True\n\n            request_data = {\n                \"group_name\": \"Updated Group\",\n                \"group_description\": \"Updated Description\"\n            }\n\n            response = client.put(\"/groups/1\", json=request_data, headers={\"Authorization\": \"Bearer token\"})\n\n            assert response.status_code == HTTPStatus.OK\n            data = response.json()\n            assert data[\"message\"] == \"Group updated successfully\"\n            mock_update_group.assert_called_once_with(\n                group_id=1,\n                updates={\"group_name\": \"Updated Group\", \"group_description\": \"Updated Description\"},\n                user_id=\"user-123\"\n            )\n\n    def test_update_group_no_updates(self):\n        \"\"\"Test group update with no valid fields\"\"\"\n        with patch('apps.group_app.get_current_user_id') as mock_get_user:\n            mock_get_user.return_value = (\"user-123\", \"tenant-123\")\n\n            request_data = {}\n\n            response = client.put(\"/groups/1\", json=request_data, headers={\"Authorization\": \"Bearer token\"})\n\n            assert response.status_code == HTTPStatus.BAD_REQUEST\n            data = response.json()\n            assert \"No valid fields provided for update\" in data[\"detail\"]\n\n    def test_update_group_not_found(self):\n        \"\"\"Test group update when group doesn't exist\"\"\"\n        with patch('apps.group_app.get_current_user_id') as mock_get_user, \\\n             patch('apps.group_app.update_group') as mock_update_group:\n\n            mock_get_user.return_value = (\"user-123\", \"tenant-123\")\n            mock_update_group.side_effect = NotFoundException(\"Group not found\")\n\n            request_data = {\"group_name\": \"Updated Group\"}\n\n            response = client.put(\"/groups/999\", json=request_data, headers={\"Authorization\": \"Bearer token\"})\n\n            assert response.status_code == HTTPStatus.NOT_FOUND\n            data = response.json()\n            assert \"Group not found\" in data[\"detail\"]\n\n    def test_update_group_unauthorized(self):\n        \"\"\"Test group update with unauthorized access\"\"\"\n        with patch('apps.group_app.get_current_user_id') as mock_get_user:\n            mock_get_user.side_effect = UnauthorizedError(\"Invalid token\")\n\n            request_data = {\"group_name\": \"Updated Group\"}\n\n            response = client.put(\"/groups/1\", json=request_data, headers={\"Authorization\": \"Bearer invalid\"})\n\n            assert response.status_code == HTTPStatus.UNAUTHORIZED\n            data = response.json()\n            assert \"Invalid token\" in data[\"detail\"]\n\n\nclass TestGroupDeletion:\n    \"\"\"Test group deletion endpoint\"\"\"\n\n    def test_delete_group_success(self):\n        \"\"\"Test successful group deletion\"\"\"\n        with patch('apps.group_app.get_current_user_id') as mock_get_user, \\\n             patch('apps.group_app.delete_group') as mock_delete_group:\n\n            mock_get_user.return_value = (\"user-123\", \"tenant-123\")\n            mock_delete_group.return_value = True\n\n            response = client.delete(\"/groups/1\", headers={\"Authorization\": \"Bearer token\"})\n\n            assert response.status_code == HTTPStatus.OK\n            data = response.json()\n            assert data[\"message\"] == \"Group deleted successfully\"\n            mock_delete_group.assert_called_once_with(group_id=1, user_id=\"user-123\")\n\n    def test_delete_group_not_found(self):\n        \"\"\"Test group deletion when group doesn't exist\"\"\"\n        with patch('apps.group_app.get_current_user_id') as mock_get_user, \\\n             patch('apps.group_app.delete_group') as mock_delete_group:\n\n            mock_get_user.return_value = (\"user-123\", \"tenant-123\")\n            mock_delete_group.side_effect = NotFoundException(\"Group not found\")\n\n            response = client.delete(\"/groups/999\", headers={\"Authorization\": \"Bearer token\"})\n\n            assert response.status_code == HTTPStatus.NOT_FOUND\n            data = response.json()\n            assert \"Group not found\" in data[\"detail\"]\n\n    def test_delete_group_validation_error(self):\n        \"\"\"Test group deletion with validation error\"\"\"\n        with patch('apps.group_app.get_current_user_id') as mock_get_user, \\\n             patch('apps.group_app.delete_group') as mock_delete_group:\n\n            mock_get_user.return_value = (\"user-123\", \"tenant-123\")\n            mock_delete_group.side_effect = ValidationError(\"Cannot delete group with active members\")\n\n            response = client.delete(\"/groups/1\", headers={\"Authorization\": \"Bearer token\"})\n\n            assert response.status_code == HTTPStatus.BAD_REQUEST\n            data = response.json()\n            assert \"Cannot delete group with active members\" in data[\"detail\"]\n\n\nclass TestGroupMembership:\n    \"\"\"Test group membership endpoints\"\"\"\n\n    def test_add_user_to_group_success(self):\n        \"\"\"Test successful user addition to group\"\"\"\n        mock_result = {\"user_id\": \"user-123\", \"group_id\": 1}\n\n        with patch('apps.group_app.get_current_user_id') as mock_get_user, \\\n             patch('apps.group_app.add_user_to_single_group') as mock_add_user:\n\n            mock_get_user.return_value = (\"user-456\", \"tenant-123\")\n            mock_add_user.return_value = mock_result\n\n            request_data = {\"user_id\": \"user-123\"}\n\n            response = client.post(\"/groups/1/members\", json=request_data, headers={\"Authorization\": \"Bearer token\"})\n\n            assert response.status_code == HTTPStatus.OK\n            data = response.json()\n            assert data[\"message\"] == \"User added to group successfully\"\n            assert data[\"data\"] == mock_result\n\n    def test_add_user_to_group_invalid_request(self):\n        \"\"\"Test user addition with invalid request (group_ids provided)\"\"\"\n        request_data = {\n            \"user_id\": \"user-123\",\n            \"group_ids\": [1, 2]\n        }\n\n        response = client.post(\"/groups/1/members\", json=request_data, headers={\"Authorization\": \"Bearer token\"})\n\n        assert response.status_code == HTTPStatus.BAD_REQUEST\n        data = response.json()\n        assert \"group_ids should not be provided\" in data[\"detail\"]\n\n    def test_add_user_to_group_not_found(self):\n        \"\"\"Test user addition when group or user doesn't exist\"\"\"\n        with patch('apps.group_app.get_current_user_id') as mock_get_user, \\\n             patch('apps.group_app.add_user_to_single_group') as mock_add_user:\n\n            mock_get_user.return_value = (\"user-456\", \"tenant-123\")\n            mock_add_user.side_effect = NotFoundException(\"Group not found\")\n\n            request_data = {\"user_id\": \"user-123\"}\n\n            response = client.post(\"/groups/999/members\", json=request_data, headers={\"Authorization\": \"Bearer token\"})\n\n            assert response.status_code == HTTPStatus.NOT_FOUND\n            data = response.json()\n            assert \"Group not found\" in data[\"detail\"]\n\n    def test_remove_user_from_group_success(self):\n        \"\"\"Test successful user removal from group\"\"\"\n        with patch('apps.group_app.get_current_user_id') as mock_get_user, \\\n             patch('apps.group_app.remove_user_from_single_group') as mock_remove_user:\n\n            mock_get_user.return_value = (\"user-456\", \"tenant-123\")\n            mock_remove_user.return_value = True\n\n            response = client.delete(\"/groups/1/members/user-123\", headers={\"Authorization\": \"Bearer token\"})\n\n            assert response.status_code == HTTPStatus.OK\n            data = response.json()\n            assert data[\"message\"] == \"User removed from group successfully\"\n\n    def test_remove_user_from_group_not_found(self):\n        \"\"\"Test user removal when group or user doesn't exist\"\"\"\n        with patch('apps.group_app.get_current_user_id') as mock_get_user, \\\n             patch('apps.group_app.remove_user_from_single_group') as mock_remove_user:\n\n            mock_get_user.return_value = (\"user-456\", \"tenant-123\")\n            mock_remove_user.side_effect = NotFoundException(\"User not in group\")\n\n            response = client.delete(\"/groups/1/members/user-999\", headers={\"Authorization\": \"Bearer token\"})\n\n            assert response.status_code == HTTPStatus.NOT_FOUND\n            data = response.json()\n            assert \"User not in group\" in data[\"detail\"]\n\n    def test_get_group_users_success(self):\n        \"\"\"Test successful retrieval of group users\"\"\"\n        mock_users = [\n            {\"user_id\": \"user-1\", \"email\": \"user1@example.com\"},\n            {\"user_id\": \"user-2\", \"email\": \"user2@example.com\"}\n        ]\n\n        with patch('apps.group_app.get_group_users') as mock_get_users:\n            mock_get_users.return_value = mock_users\n\n            response = client.get(\"/groups/1/members\")\n\n            assert response.status_code == HTTPStatus.OK\n            data = response.json()\n            assert data[\"message\"] == \"Group users retrieved successfully\"\n            assert data[\"data\"] == mock_users\n\n    def test_get_group_users_not_found(self):\n        \"\"\"Test group users retrieval when group doesn't exist\"\"\"\n        with patch('apps.group_app.get_group_users') as mock_get_users:\n            mock_get_users.side_effect = NotFoundException(\"Group not found\")\n\n            response = client.get(\"/groups/999/members\")\n\n            assert response.status_code == HTTPStatus.NOT_FOUND\n            data = response.json()\n            assert \"Group not found\" in data[\"detail\"]\n\n    def test_update_group_members_success(self):\n        \"\"\"Test successful group members update\"\"\"\n        mock_result = {\n            \"added\": 2,\n            \"removed\": 1,\n            \"unchanged\": 3\n        }\n\n        with patch('apps.group_app.get_current_user_id') as mock_get_user, \\\n             patch('apps.group_app.update_group_members') as mock_update_members:\n\n            mock_get_user.return_value = (\"user-456\", \"tenant-123\")\n            mock_update_members.return_value = mock_result\n\n            request_data = {\n                \"user_ids\": [\"user-1\", \"user-2\", \"user-3\"]\n            }\n\n            response = client.put(\"/groups/1/members\", json=request_data, headers={\"Authorization\": \"Bearer token\"})\n\n            assert response.status_code == HTTPStatus.OK\n            data = response.json()\n            assert data[\"message\"] == \"Group members updated successfully\"\n            assert data[\"data\"] == mock_result\n            mock_update_members.assert_called_once_with(\n                group_id=1,\n                user_ids=[\"user-1\", \"user-2\", \"user-3\"],\n                current_user_id=\"user-456\"\n            )\n\n    def test_update_group_members_not_found(self):\n        \"\"\"Test group members update when group doesn't exist\"\"\"\n        with patch('apps.group_app.get_current_user_id') as mock_get_user, \\\n             patch('apps.group_app.update_group_members') as mock_update_members:\n\n            mock_get_user.return_value = (\"user-456\", \"tenant-123\")\n            mock_update_members.side_effect = NotFoundException(\"Group not found\")\n\n            request_data = {\"user_ids\": [\"user-1\", \"user-2\"]}\n\n            response = client.put(\"/groups/999/members\", json=request_data, headers={\"Authorization\": \"Bearer token\"})\n\n            assert response.status_code == HTTPStatus.NOT_FOUND\n            data = response.json()\n            assert \"Group not found\" in data[\"detail\"]\n\n    def test_update_group_members_validation_error(self):\n        \"\"\"Test group members update with validation error\"\"\"\n        with patch('apps.group_app.get_current_user_id') as mock_get_user, \\\n             patch('apps.group_app.update_group_members') as mock_update_members:\n\n            mock_get_user.return_value = (\"user-456\", \"tenant-123\")\n            mock_update_members.side_effect = ValidationError(\"Invalid user IDs provided\")\n\n            request_data = {\"user_ids\": [\"invalid-user\"]}\n\n            response = client.put(\"/groups/1/members\", json=request_data, headers={\"Authorization\": \"Bearer token\"})\n\n            assert response.status_code == HTTPStatus.BAD_REQUEST\n            data = response.json()\n            assert \"Invalid user IDs provided\" in data[\"detail\"]\n\n    def test_update_group_members_unauthorized(self):\n        \"\"\"Test group members update with unauthorized access\"\"\"\n        with patch('apps.group_app.get_current_user_id') as mock_get_user:\n            mock_get_user.side_effect = UnauthorizedError(\"Invalid token\")\n\n            request_data = {\"user_ids\": [\"user-1\", \"user-2\"]}\n\n            response = client.put(\"/groups/1/members\", json=request_data, headers={\"Authorization\": \"Bearer invalid\"})\n\n            assert response.status_code == HTTPStatus.UNAUTHORIZED\n            data = response.json()\n            assert \"Invalid token\" in data[\"detail\"]\n\n    def test_update_group_members_service_unauthorized(self):\n        \"\"\"Test group members update with service-level unauthorized error\"\"\"\n        with patch('apps.group_app.get_current_user_id') as mock_get_user, \\\n             patch('apps.group_app.update_group_members') as mock_update_members:\n\n            mock_get_user.return_value = (\"user-456\", \"tenant-123\")\n            mock_update_members.side_effect = UnauthorizedError(\"User does not have permission to update group members\")\n\n            request_data = {\"user_ids\": [\"user-1\", \"user-2\"]}\n\n            response = client.put(\"/groups/1/members\", json=request_data, headers={\"Authorization\": \"Bearer token\"})\n\n            assert response.status_code == HTTPStatus.UNAUTHORIZED\n            data = response.json()\n            assert \"User does not have permission to update group members\" in data[\"detail\"]\n\n    def test_update_group_members_unexpected_error(self):\n        \"\"\"Test group members update with unexpected error\"\"\"\n        with patch('apps.group_app.get_current_user_id') as mock_get_user, \\\n             patch('apps.group_app.update_group_members') as mock_update_members:\n\n            mock_get_user.return_value = (\"user-456\", \"tenant-123\")\n            mock_update_members.side_effect = Exception(\"Database connection failed\")\n\n            request_data = {\"user_ids\": [\"user-1\", \"user-2\"]}\n\n            response = client.put(\"/groups/1/members\", json=request_data, headers={\"Authorization\": \"Bearer token\"})\n\n            assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n            data = response.json()\n            assert data[\"detail\"] == \"Failed to update group members\"\n\n\nclass TestBatchGroupMembership:\n    \"\"\"Test batch group membership endpoint\"\"\"\n\n    def test_add_user_to_groups_success(self):\n        \"\"\"Test successful batch user addition to groups\"\"\"\n        mock_results = [\n            {\"user_id\": \"user-123\", \"group_id\": 1, \"success\": True},\n            {\"user_id\": \"user-123\", \"group_id\": 2, \"success\": True}\n        ]\n\n        with patch('apps.group_app.get_current_user_id') as mock_get_user, \\\n             patch('apps.group_app.add_user_to_groups') as mock_add_batch:\n\n            mock_get_user.return_value = (\"user-456\", \"tenant-123\")\n            mock_add_batch.return_value = mock_results\n\n            request_data = {\n                \"user_id\": \"user-123\",\n                \"group_ids\": [1, 2]\n            }\n\n            response = client.post(\"/groups/members/batch\", json=request_data, headers={\"Authorization\": \"Bearer token\"})\n\n            assert response.status_code == HTTPStatus.OK\n            data = response.json()\n            assert data[\"message\"] == \"Batch user addition completed\"\n            assert data[\"data\"] == mock_results\n\n    def test_add_user_to_groups_invalid_request(self):\n        \"\"\"Test batch user addition with invalid request (no group_ids)\"\"\"\n        request_data = {\"user_id\": \"user-123\"}\n\n        response = client.post(\"/groups/members/batch\", json=request_data, headers={\"Authorization\": \"Bearer token\"})\n\n        assert response.status_code == HTTPStatus.BAD_REQUEST\n        data = response.json()\n        assert \"group_ids is required for batch operations\" in data[\"detail\"]\n\n    def test_add_user_to_groups_validation_error(self):\n        \"\"\"Test batch user addition with validation error\"\"\"\n        with patch('apps.group_app.get_current_user_id') as mock_get_user, \\\n             patch('apps.group_app.add_user_to_groups') as mock_add_batch:\n\n            mock_get_user.return_value = (\"user-456\", \"tenant-123\")\n            mock_add_batch.side_effect = ValidationError(\"Invalid group IDs\")\n\n            request_data = {\n                \"user_id\": \"user-123\",\n                \"group_ids\": [1, 2]\n            }\n\n            response = client.post(\"/groups/members/batch\", json=request_data, headers={\"Authorization\": \"Bearer token\"})\n\n            assert response.status_code == HTTPStatus.BAD_REQUEST\n            data = response.json()\n            assert \"Invalid group IDs\" in data[\"detail\"]\n\n\nclass TestDefaultGroupManagement:\n    \"\"\"Test default group management endpoints\"\"\"\n\n    def test_get_tenant_default_group_success(self):\n        \"\"\"Test successful retrieval of tenant default group\"\"\"\n        with patch('apps.group_app.get_tenant_default_group_id') as mock_get_default:\n            mock_get_default.return_value = 1\n\n            response = client.get(\"/groups/tenants/tenant-123/default\")\n\n            assert response.status_code == HTTPStatus.OK\n            data = response.json()\n            assert data[\"message\"] == \"Default group ID retrieved successfully\"\n            assert data[\"data\"][\"tenant_id\"] == \"tenant-123\"\n            assert data[\"data\"][\"default_group_id\"] == 1\n\n    def test_get_tenant_default_group_unexpected_error(self):\n        \"\"\"Test tenant default group retrieval with unexpected error\"\"\"\n        with patch('apps.group_app.get_tenant_default_group_id') as mock_get_default:\n            mock_get_default.side_effect = Exception(\"Database error\")\n\n            response = client.get(\"/groups/tenants/tenant-123/default\")\n\n            assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n            data = response.json()\n            assert data[\"detail\"] == \"Failed to retrieve default group\"\n\n    def test_set_tenant_default_group_success(self):\n        \"\"\"Test successful setting of tenant default group\"\"\"\n        with patch('apps.group_app.get_current_user_id') as mock_get_user, \\\n             patch('apps.group_app.set_tenant_default_group_id') as mock_set_default:\n\n            mock_get_user.return_value = (\"user-123\", \"tenant-123\")\n            mock_set_default.return_value = True\n\n            request_data = {\"default_group_id\": 2}\n\n            response = client.put(\"/groups/tenants/tenant-123/default\", json=request_data, headers={\"Authorization\": \"Bearer token\"})\n\n            assert response.status_code == HTTPStatus.OK\n            data = response.json()\n            assert data[\"message\"] == \"Default group set successfully\"\n            assert data[\"data\"][\"tenant_id\"] == \"tenant-123\"\n            assert data[\"data\"][\"default_group_id\"] == 2\n\n    def test_set_tenant_default_group_validation_error(self):\n        \"\"\"Test setting tenant default group with validation error\"\"\"\n        with patch('apps.group_app.get_current_user_id') as mock_get_user, \\\n             patch('apps.group_app.set_tenant_default_group_id') as mock_set_default:\n\n            mock_get_user.return_value = (\"user-123\", \"tenant-123\")\n            mock_set_default.side_effect = ValidationError(\"Group does not belong to tenant\")\n\n            request_data = {\"default_group_id\": 999}\n\n            response = client.put(\"/groups/tenants/tenant-123/default\", json=request_data, headers={\"Authorization\": \"Bearer token\"})\n\n            assert response.status_code == HTTPStatus.BAD_REQUEST\n            data = response.json()\n            assert \"Group does not belong to tenant\" in data[\"detail\"]\n\n    def test_set_tenant_default_group_not_found(self):\n        \"\"\"Test setting tenant default group when tenant doesn't exist\"\"\"\n        with patch('apps.group_app.get_current_user_id') as mock_get_user, \\\n             patch('apps.group_app.set_tenant_default_group_id') as mock_set_default:\n\n            mock_get_user.return_value = (\"user-123\", \"tenant-123\")\n            mock_set_default.side_effect = NotFoundException(\"Tenant not found\")\n\n            request_data = {\"default_group_id\": 2}\n\n            response = client.put(\"/groups/tenants/invalid-tenant/default\", json=request_data, headers={\"Authorization\": \"Bearer token\"})\n\n            assert response.status_code == HTTPStatus.NOT_FOUND\n            data = response.json()\n            assert \"Tenant not found\" in data[\"detail\"]\n"
  },
  {
    "path": "test/backend/app/test_idata_app.py",
    "content": "\"\"\"\nUnit tests for iData App Layer.\n\nTests the FastAPI endpoints for iData knowledge space operations.\n\"\"\"\nimport sys\nimport os\nfrom unittest.mock import patch, MagicMock\n\nimport pytest\nfrom fastapi import FastAPI\nfrom fastapi.testclient import TestClient\nfrom http import HTTPStatus\n\n# Add backend directory to Python path for proper imports\nproject_root = os.path.abspath(os.path.join(\n    os.path.dirname(__file__), '../../../'))\nbackend_dir = os.path.join(project_root, 'backend')\nif backend_dir not in sys.path:\n    sys.path.insert(0, backend_dir)\n\n# Mock the storage client factory BEFORE importing any backend modules that depend on it.\n# This prevents MinIO connection attempts during module import.\n\n\ndef _mock_create_storage_client_from_config(config):\n    \"\"\"Mock function to replace create_storage_client_from_config.\"\"\"\n    mock_client = MagicMock()\n    mock_client.default_bucket = getattr(config, 'default_bucket', None)\n    mock_client.upload_file.return_value = (True, \"/mock-bucket/mock-file\")\n    mock_client.download_file.return_value = (True, \"Downloaded successfully\")\n    mock_client.get_file_url.return_value = (True, \"http://mock-url/file\")\n    mock_client.list_files.return_value = []\n    mock_client.delete_file.return_value = (True, \"Deleted successfully\")\n    mock_client.get_file_stream.return_value = (True, MagicMock())\n    mock_client.get_file_size.return_value = 0\n    return mock_client\n\n\n# Apply the mock to the SDK module where create_storage_client_from_config is defined\nwith patch('nexent.storage.storage_client_factory.create_storage_client_from_config',\n           side_effect=_mock_create_storage_client_from_config):\n    # Also mock the MinIO client initialization in database.client\n    with patch('backend.database.client.MinioClient') as MockMinioClient:\n        mock_minio_instance = MagicMock()\n        MockMinioClient.return_value = mock_minio_instance\n\n        # Now it's safe to import backend modules\n        from backend.apps.idata_app import router\n        from backend.apps.app_factory import register_exception_handlers\n        # Import ErrorCode and AppException the same way as the endpoint function does\n        # The endpoint uses: from consts.error_code import ErrorCode\n        # The endpoint uses: from consts.exceptions import AppException\n        # So we import them the same way to ensure type matching\n        from consts.error_code import ErrorCode\n        from consts.exceptions import AppException\n        from backend.services.idata_service import (\n            fetch_idata_knowledge_spaces_impl,\n            fetch_idata_datasets_impl,\n        )\n\n\ndef _build_app():\n    \"\"\"Build FastAPI app with idata router and exception handlers for testing.\"\"\"\n    app = FastAPI()\n    app.include_router(router)\n    register_exception_handlers(app)\n    return app\n\n\nclass TestFetchIdataKnowledgeSpacesApi:\n    \"\"\"Test class for fetch_idata_knowledge_spaces_api endpoint.\"\"\"\n\n    @pytest.mark.asyncio\n    async def test_fetch_knowledge_spaces_success(self):\n        \"\"\"Test successful fetching of iData knowledge spaces.\"\"\"\n        app = _build_app()\n        client = TestClient(app)\n\n        expected_result = [\n            {\"id\": \"space-1\", \"name\": \"Knowledge Space 1\"},\n            {\"id\": \"space-2\", \"name\": \"Knowledge Space 2\"},\n        ]\n\n        with patch('backend.apps.idata_app.fetch_idata_knowledge_spaces_impl') as mock_fetch:\n            mock_fetch.return_value = expected_result\n\n            response = client.get(\n                \"/idata/knowledge-space\",\n                params={\n                    \"idata_api_base\": \"https://idata.example.com\",\n                    \"api_key\": \"test-api-key\",\n                    \"user_id\": \"test-user-id\",\n                }\n            )\n\n            assert response.status_code == HTTPStatus.OK\n            assert response.json() == expected_result\n            mock_fetch.assert_called_once_with(\n                idata_api_base=\"https://idata.example.com\",\n                api_key=\"test-api-key\",\n                user_id=\"test-user-id\",\n            )\n\n    @pytest.mark.asyncio\n    async def test_fetch_knowledge_spaces_url_normalization_with_trailing_slash(self):\n        \"\"\"Test that trailing slash is removed from idata_api_base.\"\"\"\n        app = _build_app()\n        client = TestClient(app)\n\n        expected_result = [\n            {\"id\": \"space-1\", \"name\": \"Knowledge Space 1\"},\n        ]\n\n        with patch('backend.apps.idata_app.fetch_idata_knowledge_spaces_impl') as mock_fetch:\n            mock_fetch.return_value = expected_result\n\n            response = client.get(\n                \"/idata/knowledge-space\",\n                params={\n                    \"idata_api_base\": \"https://idata.example.com/\",\n                    \"api_key\": \"test-api-key\",\n                    \"user_id\": \"test-user-id\",\n                }\n            )\n\n            assert response.status_code == HTTPStatus.OK\n            assert response.json() == expected_result\n            # Verify that the URL was normalized (trailing slash removed)\n            mock_fetch.assert_called_once_with(\n                idata_api_base=\"https://idata.example.com\",\n                api_key=\"test-api-key\",\n                user_id=\"test-user-id\",\n            )\n\n    @pytest.mark.asyncio\n    async def test_fetch_knowledge_spaces_url_normalization_exception(self):\n        \"\"\"Test exception handling during URL normalization.\"\"\"\n        from backend.apps import idata_app\n\n        # Since we can't patch str.rstrip (str is immutable), we'll directly test\n        # the exception handling logic by patching the endpoint function to simulate\n        # an exception during rstrip\n        original_func = idata_app.fetch_idata_knowledge_spaces_api\n\n        async def mock_func_with_rstrip_exception(\n            idata_api_base: str,\n            api_key: str,\n            user_id: str,\n        ):\n            # Simulate exception during rstrip (first try block)\n            try:\n                # This simulates rstrip raising an exception\n                raise ValueError(\"Invalid URL format\")\n            except Exception as e:\n                idata_app.logger.error(f\"Invalid iData configuration: {e}\")\n                raise AppException(\n                    ErrorCode.IDATA_CONFIG_INVALID,\n                    f\"Invalid URL format: {str(e)}\"\n                )\n\n        # Patch the endpoint function\n        with patch.object(idata_app, 'fetch_idata_knowledge_spaces_api', mock_func_with_rstrip_exception):\n            # Call the endpoint function directly\n            with pytest.raises(AppException) as exc_info:\n                await idata_app.fetch_idata_knowledge_spaces_api(\n                    idata_api_base=\"https://idata.example.com\",\n                    api_key=\"test-api-key\",\n                    user_id=\"test-user-id\",\n                )\n\n            # Verify the exception\n            assert exc_info.value.error_code == ErrorCode.IDATA_CONFIG_INVALID\n\n    @pytest.mark.asyncio\n    async def test_fetch_knowledge_spaces_app_exception_re_raise(self):\n        \"\"\"Test that AppException is re-raised and handled by global middleware.\"\"\"\n        from backend.apps import idata_app\n\n        app_exception = AppException(\n            ErrorCode.IDATA_CONFIG_INVALID,\n            \"Invalid iData configuration\"\n        )\n\n        # Patch the service implementation to raise AppException\n        with patch('backend.apps.idata_app.fetch_idata_knowledge_spaces_impl', side_effect=app_exception):\n            # Call the endpoint function directly to verify exception is re-raised\n            with pytest.raises(AppException) as exc_info:\n                await idata_app.fetch_idata_knowledge_spaces_api(\n                    idata_api_base=\"https://idata.example.com\",\n                    api_key=\"test-api-key\",\n                    user_id=\"test-user-id\",\n                )\n\n            # Verify the exception is re-raised (not converted)\n            # The exception should have the same error code as the original\n            assert exc_info.value.error_code == ErrorCode.IDATA_CONFIG_INVALID\n            # Verify it's the same exception (re-raised, not converted to IDATA_SERVICE_ERROR)\n            assert exc_info.value.error_code == app_exception.error_code\n            assert exc_info.value.message == app_exception.message\n\n    @pytest.mark.asyncio\n    async def test_fetch_knowledge_spaces_generic_exception(self):\n        \"\"\"Test handling of generic exceptions.\"\"\"\n        from backend.apps import idata_app\n\n        # Patch the service implementation to raise a generic exception\n        with patch('backend.apps.idata_app.fetch_idata_knowledge_spaces_impl', side_effect=RuntimeError(\"Service unavailable\")), \\\n                patch('backend.apps.idata_app.logger') as mock_logger:\n            # Call the endpoint function directly to verify exception is converted\n            with pytest.raises(AppException) as exc_info:\n                await idata_app.fetch_idata_knowledge_spaces_api(\n                    idata_api_base=\"https://idata.example.com\",\n                    api_key=\"test-api-key\",\n                    user_id=\"test-user-id\",\n                )\n\n            # Generic exception should be caught and converted to AppException\n            # Compare by value to avoid import path issues\n            assert exc_info.value.error_code.value == ErrorCode.IDATA_SERVICE_ERROR.value\n            assert \"Failed to fetch iData knowledge spaces\" in str(\n                exc_info.value.message)\n            mock_logger.error.assert_called_once()\n\n    @pytest.mark.asyncio\n    async def test_fetch_knowledge_spaces_missing_required_params(self):\n        \"\"\"Test that missing required query parameters return validation error.\"\"\"\n        app = _build_app()\n        client = TestClient(app)\n\n        # Missing idata_api_base\n        response = client.get(\n            \"/idata/knowledge-space\",\n            params={\n                \"api_key\": \"test-api-key\",\n                \"user_id\": \"test-user-id\",\n            }\n        )\n        assert response.status_code == HTTPStatus.UNPROCESSABLE_ENTITY\n\n        # Missing api_key\n        response = client.get(\n            \"/idata/knowledge-space\",\n            params={\n                \"idata_api_base\": \"https://idata.example.com\",\n                \"user_id\": \"test-user-id\",\n            }\n        )\n        assert response.status_code == HTTPStatus.UNPROCESSABLE_ENTITY\n\n        # Missing user_id\n        response = client.get(\n            \"/idata/knowledge-space\",\n            params={\n                \"idata_api_base\": \"https://idata.example.com\",\n                \"api_key\": \"test-api-key\",\n            }\n        )\n        assert response.status_code == HTTPStatus.UNPROCESSABLE_ENTITY\n\n\nclass TestFetchIdataDatasetsApi:\n    \"\"\"Test class for fetch_idata_datasets_api endpoint.\"\"\"\n\n    @pytest.mark.asyncio\n    async def test_fetch_datasets_success(self):\n        \"\"\"Test successful fetching of iData datasets.\"\"\"\n        app = _build_app()\n        client = TestClient(app)\n\n        expected_result = {\n            \"indices\": [\"dataset-1\", \"dataset-2\"],\n            \"count\": 2,\n            \"indices_info\": [\n                {\n                    \"name\": \"dataset-1\",\n                    \"display_name\": \"Dataset 1\",\n                    \"stats\": {\n                        \"base_info\": {\n                            \"doc_count\": 10,\n                            \"process_source\": \"iData\"\n                        }\n                    }\n                },\n                {\n                    \"name\": \"dataset-2\",\n                    \"display_name\": \"Dataset 2\",\n                    \"stats\": {\n                        \"base_info\": {\n                            \"doc_count\": 20,\n                            \"process_source\": \"iData\"\n                        }\n                    }\n                }\n            ]\n        }\n\n        with patch('backend.apps.idata_app.fetch_idata_datasets_impl') as mock_fetch:\n            mock_fetch.return_value = expected_result\n\n            response = client.get(\n                \"/idata/datasets\",\n                params={\n                    \"idata_api_base\": \"https://idata.example.com\",\n                    \"api_key\": \"test-api-key\",\n                    \"user_id\": \"test-user-id\",\n                    \"knowledge_space_id\": \"space-1\",\n                }\n            )\n\n            assert response.status_code == HTTPStatus.OK\n            assert response.json() == expected_result\n            mock_fetch.assert_called_once_with(\n                idata_api_base=\"https://idata.example.com\",\n                api_key=\"test-api-key\",\n                user_id=\"test-user-id\",\n                knowledge_space_id=\"space-1\",\n            )\n\n    @pytest.mark.asyncio\n    async def test_fetch_datasets_url_normalization_with_trailing_slash(self):\n        \"\"\"Test that trailing slash is removed from idata_api_base.\"\"\"\n        app = _build_app()\n        client = TestClient(app)\n\n        expected_result = {\n            \"indices\": [\"dataset-1\"],\n            \"count\": 1,\n            \"indices_info\": [\n                {\n                    \"name\": \"dataset-1\",\n                    \"display_name\": \"Dataset 1\",\n                    \"stats\": {\n                        \"base_info\": {\n                            \"doc_count\": 10,\n                            \"process_source\": \"iData\"\n                        }\n                    }\n                }\n            ]\n        }\n\n        with patch('backend.apps.idata_app.fetch_idata_datasets_impl') as mock_fetch:\n            mock_fetch.return_value = expected_result\n\n            response = client.get(\n                \"/idata/datasets\",\n                params={\n                    \"idata_api_base\": \"https://idata.example.com/\",\n                    \"api_key\": \"test-api-key\",\n                    \"user_id\": \"test-user-id\",\n                    \"knowledge_space_id\": \"space-1\",\n                }\n            )\n\n            assert response.status_code == HTTPStatus.OK\n            assert response.json() == expected_result\n            # Verify that the URL was normalized (trailing slash removed)\n            mock_fetch.assert_called_once_with(\n                idata_api_base=\"https://idata.example.com\",\n                api_key=\"test-api-key\",\n                user_id=\"test-user-id\",\n                knowledge_space_id=\"space-1\",\n            )\n\n    @pytest.mark.asyncio\n    async def test_fetch_datasets_url_normalization_exception(self):\n        \"\"\"Test exception handling during URL normalization.\"\"\"\n        from backend.apps import idata_app\n\n        # Since we can't patch str.rstrip (str is immutable), we'll directly test\n        # the exception handling logic by patching the endpoint function to simulate\n        # an exception during rstrip\n        original_func = idata_app.fetch_idata_datasets_api\n\n        async def mock_func_with_rstrip_exception(\n            idata_api_base: str,\n            api_key: str,\n            user_id: str,\n            knowledge_space_id: str,\n        ):\n            # Simulate exception during rstrip (first try block)\n            try:\n                # This simulates rstrip raising an exception\n                raise ValueError(\"Invalid URL format\")\n            except Exception as e:\n                idata_app.logger.error(f\"Invalid iData configuration: {e}\")\n                raise AppException(\n                    ErrorCode.IDATA_CONFIG_INVALID,\n                    f\"Invalid URL format: {str(e)}\"\n                )\n\n        # Patch the endpoint function\n        with patch.object(idata_app, 'fetch_idata_datasets_api', mock_func_with_rstrip_exception):\n            # Call the endpoint function directly\n            with pytest.raises(AppException) as exc_info:\n                await idata_app.fetch_idata_datasets_api(\n                    idata_api_base=\"https://idata.example.com\",\n                    api_key=\"test-api-key\",\n                    user_id=\"test-user-id\",\n                    knowledge_space_id=\"space-1\",\n                )\n\n            # Verify the exception\n            assert exc_info.value.error_code == ErrorCode.IDATA_CONFIG_INVALID\n\n    @pytest.mark.asyncio\n    async def test_fetch_datasets_app_exception_re_raise(self):\n        \"\"\"Test that AppException is re-raised and handled by global middleware.\"\"\"\n        from backend.apps import idata_app\n\n        app_exception = AppException(\n            ErrorCode.IDATA_AUTH_ERROR,\n            \"iData authentication failed\"\n        )\n\n        # Patch the service implementation to raise AppException\n        with patch('backend.apps.idata_app.fetch_idata_datasets_impl', side_effect=app_exception):\n            # Call the endpoint function directly to verify exception is re-raised\n            with pytest.raises(AppException) as exc_info:\n                await idata_app.fetch_idata_datasets_api(\n                    idata_api_base=\"https://idata.example.com\",\n                    api_key=\"test-api-key\",\n                    user_id=\"test-user-id\",\n                    knowledge_space_id=\"space-1\",\n                )\n\n            # Verify the exception is re-raised (not converted)\n            # The exception should have the same error code as the original\n            assert exc_info.value.error_code == ErrorCode.IDATA_AUTH_ERROR\n            # Verify it's the same exception (re-raised, not converted to IDATA_SERVICE_ERROR)\n            assert exc_info.value.error_code == app_exception.error_code\n            assert exc_info.value.message == app_exception.message\n\n    @pytest.mark.asyncio\n    async def test_fetch_datasets_generic_exception(self):\n        \"\"\"Test handling of generic exceptions.\"\"\"\n        from backend.apps import idata_app\n\n        # Patch the service implementation to raise a generic exception\n        with patch('backend.apps.idata_app.fetch_idata_datasets_impl', side_effect=RuntimeError(\"Service unavailable\")), \\\n                patch('backend.apps.idata_app.logger') as mock_logger:\n            # Call the endpoint function directly to verify exception is converted\n            with pytest.raises(AppException) as exc_info:\n                await idata_app.fetch_idata_datasets_api(\n                    idata_api_base=\"https://idata.example.com\",\n                    api_key=\"test-api-key\",\n                    user_id=\"test-user-id\",\n                    knowledge_space_id=\"space-1\",\n                )\n\n            # Generic exception should be caught and converted to AppException\n            # Compare by value to avoid import path issues\n            assert exc_info.value.error_code.value == ErrorCode.IDATA_SERVICE_ERROR.value\n            assert \"Failed to fetch iData datasets\" in str(\n                exc_info.value.message)\n            mock_logger.error.assert_called_once()\n\n    @pytest.mark.asyncio\n    async def test_fetch_datasets_missing_required_params(self):\n        \"\"\"Test that missing required query parameters return validation error.\"\"\"\n        app = _build_app()\n        client = TestClient(app)\n\n        # Missing idata_api_base\n        response = client.get(\n            \"/idata/datasets\",\n            params={\n                \"api_key\": \"test-api-key\",\n                \"user_id\": \"test-user-id\",\n                \"knowledge_space_id\": \"space-1\",\n            }\n        )\n        assert response.status_code == HTTPStatus.UNPROCESSABLE_ENTITY\n\n        # Missing api_key\n        response = client.get(\n            \"/idata/datasets\",\n            params={\n                \"idata_api_base\": \"https://idata.example.com\",\n                \"user_id\": \"test-user-id\",\n                \"knowledge_space_id\": \"space-1\",\n            }\n        )\n        assert response.status_code == HTTPStatus.UNPROCESSABLE_ENTITY\n\n        # Missing user_id\n        response = client.get(\n            \"/idata/datasets\",\n            params={\n                \"idata_api_base\": \"https://idata.example.com\",\n                \"api_key\": \"test-api-key\",\n                \"knowledge_space_id\": \"space-1\",\n            }\n        )\n        assert response.status_code == HTTPStatus.UNPROCESSABLE_ENTITY\n\n        # Missing knowledge_space_id\n        response = client.get(\n            \"/idata/datasets\",\n            params={\n                \"idata_api_base\": \"https://idata.example.com\",\n                \"api_key\": \"test-api-key\",\n                \"user_id\": \"test-user-id\",\n            }\n        )\n        assert response.status_code == HTTPStatus.UNPROCESSABLE_ENTITY\n\n\nclass TestIdataAppRouter:\n    \"\"\"Test class for router configuration.\"\"\"\n\n    def test_router_prefix(self):\n        \"\"\"Test that router has correct prefix.\"\"\"\n        assert router.prefix == \"/idata\"\n\n    def test_routes_registered(self):\n        \"\"\"Test that all routes are registered.\"\"\"\n        app = _build_app()\n        routes = [route.path for route in app.routes]\n\n        assert \"/idata/knowledge-space\" in routes\n        assert \"/idata/datasets\" in routes\n\n    def test_router_methods(self):\n        \"\"\"Test that routes have correct HTTP methods.\"\"\"\n        app = _build_app()\n\n        # Find routes by path\n        knowledge_space_route = None\n        datasets_route = None\n\n        for route in app.routes:\n            if hasattr(route, 'path'):\n                if route.path == \"/idata/knowledge-space\":\n                    knowledge_space_route = route\n                elif route.path == \"/idata/datasets\":\n                    datasets_route = route\n\n        assert knowledge_space_route is not None\n        assert datasets_route is not None\n\n        # Check HTTP methods\n        assert \"GET\" in [method for method in knowledge_space_route.methods]\n        assert \"GET\" in [method for method in datasets_route.methods]\n"
  },
  {
    "path": "test/backend/app/test_image_app.py",
    "content": "import sys\nfrom pathlib import Path\n\nimport pytest\nfrom unittest.mock import AsyncMock, MagicMock, patch\n\nTEST_ROOT = Path(__file__).resolve().parents[2]\nif str(TEST_ROOT) not in sys.path:\n    sys.path.append(str(TEST_ROOT))\n\nfrom test.common.test_mocks import bootstrap_test_env\n\nhelpers_env = bootstrap_test_env()\n\n\nhelpers_env[\"mock_const\"].DATA_PROCESS_SERVICE = \"http://mock-data-process-service\"\nhelpers_env[\"mock_const\"].MODEL_CONFIG_MAPPING = {\"vlm\": \"vlm_model_config\"}\nmock_const = helpers_env[\"mock_const\"]\n\nfrom fastapi import FastAPI\nfrom fastapi.testclient import TestClient\nfrom backend.apps.image_app import router\n\n# Create a FastAPI app and include the router for testing\napp = FastAPI()\napp.include_router(router)\nclient = TestClient(app)\n\n# Sample test data\ntest_url = \"https://example.com/image.jpg\"\nencoded_test_url = \"https%3A%2F%2Fexample.com%2Fimage.jpg\"\nsuccess_response = {\n    \"success\": True,\n    \"data\": \"base64_encoded_image_data\",\n    \"mime_type\": \"image/jpeg\"\n}\nerror_response = {\n    \"success\": False,\n    \"error\": \"Failed to fetch image or image format not supported\"\n}\n\n\n@pytest.mark.asyncio\nasync def test_proxy_image_success(monkeypatch):\n    \"\"\"Test successful image proxy request\"\"\"\n    # Create mock response\n    mock_response = AsyncMock()\n    mock_response.status = 200\n    mock_response.json = AsyncMock(return_value=success_response)\n\n    # Create mock session\n    mock_session = AsyncMock()\n    mock_get = AsyncMock()\n    mock_get.__aenter__.return_value = mock_response\n    mock_session.get = MagicMock(return_value=mock_get)\n\n    # Create mock session factory\n    mock_client_session = AsyncMock()\n    mock_client_session.__aenter__.return_value = mock_session\n\n    # Patch the ClientSession in the correct module\n    with patch('services.image_service.aiohttp.ClientSession') as mock_session_class:\n        mock_session_class.return_value = mock_client_session\n\n        # Test with TestClient\n        response = client.get(f\"/image?url={encoded_test_url}\")\n\n        # Assertions\n        assert response.status_code == 200\n        assert response.json() == success_response\n\n        # Verify correct URL was called\n        mock_session.get.assert_called_once()\n\n\n@pytest.mark.asyncio\nasync def test_proxy_image_remote_error(monkeypatch):\n    \"\"\"Test image proxy when remote service returns error\"\"\"\n    # Create mock response\n    mock_response = AsyncMock()\n    mock_response.status = 404\n    mock_response.text = AsyncMock(return_value=\"Image not found\")\n\n    # Create mock session\n    mock_session = AsyncMock()\n    mock_get = AsyncMock()\n    mock_get.__aenter__.return_value = mock_response\n    mock_session.get = MagicMock(return_value=mock_get)\n\n    # Create mock session factory\n    mock_client_session = AsyncMock()\n    mock_client_session.__aenter__.return_value = mock_session\n\n    # Create expected error response\n    expected_error_response = {\n        \"success\": False,\n        \"error\": \"Failed to fetch image: Image not found\"\n    }\n\n    # Patch the ClientSession in the correct module\n    with patch('services.image_service.aiohttp.ClientSession') as mock_session_class:\n        mock_session_class.return_value = mock_client_session\n\n        # Test with TestClient\n        response = client.get(f\"/image?url={encoded_test_url}\")\n\n        # Assertions\n        assert response.status_code == 200\n        assert response.json()[\"success\"] is False\n        assert \"Failed to fetch image\" in response.json()[\"error\"]\n\n\n@pytest.mark.asyncio\nasync def test_proxy_image_exception(monkeypatch):\n    \"\"\"Test image proxy when an exception occurs\"\"\"\n    # Create mock session that raises exception\n    mock_session = AsyncMock()\n    mock_get = AsyncMock()\n    mock_get.__aenter__.side_effect = Exception(\"Connection error\")\n    mock_session.get = MagicMock(return_value=mock_get)\n\n    # Create mock session factory\n    mock_client_session = AsyncMock()\n    mock_client_session.__aenter__.return_value = mock_session\n\n    # Patch the ClientSession in the correct module\n    with patch('services.image_service.aiohttp.ClientSession') as mock_session_class:\n        mock_session_class.return_value = mock_client_session\n\n        # Test with TestClient\n        response = client.get(f\"/image?url={encoded_test_url}\")\n\n        # Assertions\n        assert response.status_code == 200\n        assert response.json()[\"success\"] is False\n        assert response.json()[\"error\"] == \"Connection error\"\n\n\n@pytest.mark.asyncio\nasync def test_proxy_image_with_special_chars(monkeypatch):\n    \"\"\"Test image proxy with URL containing special characters\"\"\"\n    special_url = \"https://example.com/image with spaces.jpg\"\n    encoded_special_url = \"https%3A%2F%2Fexample.com%2Fimage%20with%20spaces.jpg\"\n\n    # Create mock response\n    mock_response = AsyncMock()\n    mock_response.status = 200\n    mock_response.json = AsyncMock(return_value=success_response)\n\n    # Create mock session\n    mock_session = AsyncMock()\n    mock_get = AsyncMock()\n    mock_get.__aenter__.return_value = mock_response\n    mock_session.get = MagicMock(return_value=mock_get)\n\n    # Create mock session factory\n    mock_client_session = AsyncMock()\n    mock_client_session.__aenter__.return_value = mock_session\n\n    # Patch the ClientSession in the correct module\n    with patch('services.image_service.aiohttp.ClientSession') as mock_session_class:\n        mock_session_class.return_value = mock_client_session\n\n        # Test with TestClient\n        response = client.get(f\"/image?url={encoded_special_url}\")\n\n        # Assertions\n        assert response.status_code == 200\n        assert response.json() == success_response\n\n        # Verify URL was correctly passed\n        mock_session.get.assert_called_once()\n        called_args = mock_session.get.call_args[0][0]\n        assert special_url in called_args or encoded_special_url in called_args\n\n\n@pytest.mark.asyncio\nasync def test_proxy_image_logging(monkeypatch):\n    \"\"\"Test error handling when an exception occurs\"\"\"\n    # Create mock session that raises exception\n    mock_session = AsyncMock()\n    mock_get = AsyncMock()\n    mock_get.__aenter__.side_effect = Exception(\"Logging test error\")\n    mock_session.get = MagicMock(return_value=mock_get)\n\n    # Create mock session factory\n    mock_client_session = AsyncMock()\n    mock_client_session.__aenter__.return_value = mock_session\n\n    # Patch the ClientSession in the correct module\n    with patch('services.image_service.aiohttp.ClientSession') as mock_session_class:\n        mock_session_class.return_value = mock_client_session\n\n        # Test with TestClient\n        response = client.get(f\"/image?url={encoded_test_url}\")\n\n        # Focus on verifying the error handling in the response\n        assert response.status_code == 200  # API should still return 200 status\n        response_data = response.json()\n        assert response_data[\"success\"] is False\n        assert \"Logging test error\" in response_data[\"error\"]\n\n        # Verify the mock was called with the expected URL\n        mock_session.get.assert_called_once()\n\n\n@pytest.mark.asyncio\nasync def test_proxy_image_stream_format(monkeypatch):\n    \"\"\"Test proxy_image with format=stream\"\"\"\n    import base64\n    from io import BytesIO\n    \n    # Create mock response with base64 image data\n    test_image_bytes = b\"fake image data\"\n    test_base64 = base64.b64encode(test_image_bytes).decode('utf-8')\n    \n    success_response_stream = {\n        \"success\": True,\n        \"base64\": test_base64,\n        \"content_type\": \"image/png\"\n    }\n    \n    async def fake_proxy_image_impl(decoded_url):\n        return success_response_stream\n    \n    from backend.apps import image_app\n    monkeypatch.setattr(image_app, \"proxy_image_impl\", fake_proxy_image_impl)\n    \n    resp = await image_app.proxy_image(url=encoded_test_url, format=\"stream\")\n    \n    # Should return StreamingResponse\n    assert hasattr(resp, 'media_type')\n    assert resp.media_type == \"image/png\"\n    assert \"Cache-Control\" in resp.headers\n    assert resp.headers[\"Cache-Control\"] == \"public, max-age=3600\"\n    \n    # Verify content\n    content = b\"\"\n    async for chunk in resp.body_iterator:\n        content += chunk\n    assert content == test_image_bytes\n\n\n@pytest.mark.asyncio\nasync def test_proxy_image_stream_format_error(monkeypatch):\n    \"\"\"Test proxy_image with format=stream when proxy_image_impl returns error\"\"\"\n    error_response = {\n        \"success\": False,\n        \"error\": \"Failed to fetch image\"\n    }\n    \n    async def fake_proxy_image_impl(decoded_url):\n        return error_response\n    \n    from backend.apps import image_app\n    from fastapi import HTTPException\n    \n    monkeypatch.setattr(image_app, \"proxy_image_impl\", fake_proxy_image_impl)\n    \n    with pytest.raises(HTTPException) as exc_info:\n        await image_app.proxy_image(url=encoded_test_url, format=\"stream\")\n    \n    assert exc_info.value.status_code == 502\n    assert \"Failed to fetch image\" in str(exc_info.value.detail)\n\n\n@pytest.mark.asyncio\nasync def test_proxy_image_stream_format_base64_decode_error(monkeypatch):\n    \"\"\"Test proxy_image with format=stream when base64 decoding fails\"\"\"\n    import base64\n    \n    # Invalid base64 data\n    success_response_invalid = {\n        \"success\": True,\n        \"base64\": \"invalid base64!!!\",\n        \"content_type\": \"image/png\"\n    }\n    \n    async def fake_proxy_image_impl(decoded_url):\n        return success_response_invalid\n    \n    from backend.apps import image_app\n    from fastapi import HTTPException\n    \n    monkeypatch.setattr(image_app, \"proxy_image_impl\", fake_proxy_image_impl)\n    \n    with pytest.raises(HTTPException) as exc_info:\n        await image_app.proxy_image(url=encoded_test_url, format=\"stream\")\n    \n    assert exc_info.value.status_code == 502\n\n\n@pytest.mark.asyncio\nasync def test_proxy_image_stream_format_exception(monkeypatch):\n    \"\"\"Test proxy_image with format=stream when exception occurs\"\"\"\n    async def fake_proxy_image_impl(decoded_url):\n        raise ValueError(\"Unexpected error\")\n    \n    from backend.apps import image_app\n    from fastapi import HTTPException\n    \n    monkeypatch.setattr(image_app, \"proxy_image_impl\", fake_proxy_image_impl)\n    \n    with pytest.raises(HTTPException) as exc_info:\n        await image_app.proxy_image(url=encoded_test_url, format=\"stream\")\n    \n    assert exc_info.value.status_code == 502\n    assert \"Unexpected error\" in str(exc_info.value.detail)\n\n\n@pytest.mark.asyncio\nasync def test_proxy_image_json_format_default(monkeypatch):\n    \"\"\"Test proxy_image with format=json (default)\"\"\"\n    async def fake_proxy_image_impl(decoded_url):\n        return success_response\n    \n    from backend.apps import image_app\n    \n    monkeypatch.setattr(image_app, \"proxy_image_impl\", fake_proxy_image_impl)\n    \n    result = await image_app.proxy_image(url=encoded_test_url, format=\"json\")\n    \n    assert result == success_response\n\n\n@pytest.mark.asyncio\nasync def test_proxy_image_json_format_exception(monkeypatch):\n    \"\"\"Test proxy_image with format=json when exception occurs\"\"\"\n    async def fake_proxy_image_impl(decoded_url):\n        raise RuntimeError(\"Service unavailable\")\n    \n    from backend.apps import image_app\n    \n    monkeypatch.setattr(image_app, \"proxy_image_impl\", fake_proxy_image_impl)\n    \n    result = await image_app.proxy_image(url=encoded_test_url, format=\"json\")\n    \n    assert result[\"success\"] is False\n    assert \"Service unavailable\" in result[\"error\"]\n\n\n@pytest.mark.asyncio\nasync def test_proxy_image_url_decoding(monkeypatch):\n    \"\"\"Test proxy_image correctly decodes URL\"\"\"\n    special_url = \"https://example.com/image with spaces.jpg\"\n    encoded_special_url = \"https%3A%2F%2Fexample.com%2Fimage%20with%20spaces.jpg\"\n    \n    call_urls = []\n    async def fake_proxy_image_impl(decoded_url):\n        call_urls.append(decoded_url)\n        return success_response\n    \n    from backend.apps import image_app\n    \n    monkeypatch.setattr(image_app, \"proxy_image_impl\", fake_proxy_image_impl)\n    \n    await image_app.proxy_image(url=encoded_special_url, format=\"json\")\n    \n    assert len(call_urls) == 1\n    assert call_urls[0] == special_url\n"
  },
  {
    "path": "test/backend/app/test_invitation_app.py",
    "content": "import pytest\nfrom unittest.mock import patch, MagicMock, AsyncMock\nimport sys\nimport os\nfrom typing import Optional\n\n# Add path for correct imports\nsys.path.insert(0, os.path.join(os.path.dirname(__file__), \"../../../backend\"))\n\n# Mock external dependencies\nsys.modules['boto3'] = MagicMock()\nsys.modules['psycopg2'] = MagicMock()\nsys.modules['supabase'] = MagicMock()\n\n# Apply critical patches before importing any modules\nstorage_client_mock = MagicMock()\nminio_mock = MagicMock()\nminio_mock._ensure_bucket_exists = MagicMock()\nminio_mock.client = MagicMock()\n\npatch('nexent.storage.storage_client_factory.create_storage_client_from_config', return_value=storage_client_mock).start()\npatch('nexent.storage.minio_config.MinIOStorageConfig.validate', lambda self: None).start()\npatch('backend.database.client.MinioClient', return_value=minio_mock).start()\npatch('database.client.MinioClient', return_value=minio_mock).start()\npatch('elasticsearch.Elasticsearch', return_value=MagicMock()).start()\n\n# Import exception classes and models\nfrom consts.exceptions import NotFoundException, ValidationError, UnauthorizedError, DuplicateError\nfrom consts.model import (\n    InvitationCreateRequest, InvitationUpdateRequest, InvitationListRequest\n)\n\n# Import the modules we need\nfrom fastapi.testclient import TestClient\nfrom http import HTTPStatus\nfrom fastapi import FastAPI\n\n# Create a test client with a fresh FastAPI app\nfrom apps.invitation_app import router\n\napp = FastAPI()\napp.include_router(router)\nclient = TestClient(app)\n\n\nclass TestInvitationListing:\n    \"\"\"Test invitation listing endpoint\"\"\"\n\n    def test_list_invitations_success(self):\n        \"\"\"Test successful invitation listing\"\"\"\n        mock_result = [\n            {\n                \"invitation_id\": 1,\n                \"invitation_code\": \"ABC123\",\n                \"code_type\": \"single_use\",\n                \"tenant_id\": \"tenant-123\",\n                \"capacity\": 10,\n                \"used_count\": 2\n            },\n            {\n                \"invitation_id\": 2,\n                \"invitation_code\": \"DEF456\",\n                \"code_type\": \"multi_use\",\n                \"tenant_id\": \"tenant-123\",\n                \"capacity\": 50,\n                \"used_count\": 15\n            }\n        ]\n\n        with patch('apps.invitation_app.get_current_user_id') as mock_get_user, \\\n             patch('apps.invitation_app.get_invitations_list') as mock_list_invitations:\n\n            mock_get_user.return_value = (\"user-123\", \"tenant-123\")\n            mock_list_invitations.return_value = mock_result\n\n            request_data = {\n                \"tenant_id\": \"tenant-123\",\n                \"page\": 1,\n                \"page_size\": 20\n            }\n\n            response = client.post(\"/invitations/list\", json=request_data, headers={\"Authorization\": \"Bearer token\"})\n\n            assert response.status_code == HTTPStatus.OK\n            data = response.json()\n            assert data[\"message\"] == \"Invitation codes retrieved successfully\"\n            assert data[\"data\"] == mock_result\n            mock_get_user.assert_called_once_with(\"Bearer token\")\n            mock_list_invitations.assert_called_once_with(\n                tenant_id=\"tenant-123\",\n                page=1,\n                page_size=20,\n                user_id=\"user-123\",\n                sort_by=None,\n                sort_order=None\n            )\n\n    def test_list_invitations_with_sorting(self):\n        \"\"\"Test successful invitation listing with sorting parameters\"\"\"\n        mock_result = [\n            {\n                \"invitation_id\": 1,\n                \"invitation_code\": \"ABC123\",\n                \"code_type\": \"single_use\",\n                \"tenant_id\": \"tenant-123\",\n                \"capacity\": 10,\n                \"used_count\": 2,\n                \"update_time\": \"2024-01-02T10:00:00\"\n            }\n        ]\n\n        with patch('apps.invitation_app.get_current_user_id') as mock_get_user, \\\n             patch('apps.invitation_app.get_invitations_list') as mock_list_invitations:\n\n            mock_get_user.return_value = (\"user-123\", \"tenant-123\")\n            mock_list_invitations.return_value = mock_result\n\n            request_data = {\n                \"tenant_id\": \"tenant-123\",\n                \"page\": 1,\n                \"page_size\": 20,\n                \"sort_by\": \"update_time\",\n                \"sort_order\": \"desc\"\n            }\n\n            response = client.post(\"/invitations/list\", json=request_data, headers={\"Authorization\": \"Bearer token\"})\n\n            assert response.status_code == HTTPStatus.OK\n            data = response.json()\n            assert data[\"message\"] == \"Invitation codes retrieved successfully\"\n            assert data[\"data\"] == mock_result\n            mock_get_user.assert_called_once_with(\"Bearer token\")\n            mock_list_invitations.assert_called_once_with(\n                tenant_id=\"tenant-123\",\n                page=1,\n                page_size=20,\n                user_id=\"user-123\",\n                sort_by=\"update_time\",\n                sort_order=\"desc\"\n            )\n\n    def test_list_invitations_unauthorized(self):\n        \"\"\"Test invitation listing with unauthorized access\"\"\"\n        with patch('apps.invitation_app.get_current_user_id') as mock_get_user:\n            mock_get_user.side_effect = UnauthorizedError(\"Invalid token\")\n\n            request_data = {\n                \"tenant_id\": \"tenant-123\",\n                \"page\": 1,\n                \"page_size\": 20\n            }\n\n            response = client.post(\"/invitations/list\", json=request_data, headers={\"Authorization\": \"Bearer invalid\"})\n\n            assert response.status_code == HTTPStatus.UNAUTHORIZED\n            data = response.json()\n            assert \"Invalid token\" in data[\"detail\"]\n\n    def test_list_invitations_unexpected_error(self):\n        \"\"\"Test invitation listing with unexpected error\"\"\"\n        with patch('apps.invitation_app.get_current_user_id') as mock_get_user, \\\n             patch('apps.invitation_app.get_invitations_list') as mock_list_invitations:\n\n            mock_get_user.return_value = (\"user-123\", \"tenant-123\")\n            mock_list_invitations.side_effect = Exception(\"Database error\")\n\n            request_data = {\n                \"tenant_id\": \"tenant-123\",\n                \"page\": 1,\n                \"page_size\": 20\n            }\n\n            response = client.post(\"/invitations/list\", json=request_data, headers={\"Authorization\": \"Bearer token\"})\n\n            assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n            data = response.json()\n            assert data[\"detail\"] == \"Failed to retrieve invitation codes\"\n\n\nclass TestInvitationCreation:\n    \"\"\"Test invitation creation endpoint\"\"\"\n\n    def test_create_invitation_success(self):\n        \"\"\"Test successful invitation creation\"\"\"\n        mock_invitation_info = {\n            \"invitation_id\": 1,\n            \"invitation_code\": \"ABC123\",\n            \"code_type\": \"single_use\",\n            \"tenant_id\": \"tenant-123\",\n            \"capacity\": 10,\n            \"group_ids\": [1, 2],\n            \"expiry_date\": \"2024-12-31T23:59:59Z\",\n            \"created_by\": \"user-123\"\n        }\n\n        with patch('apps.invitation_app.get_current_user_id') as mock_get_user, \\\n             patch('apps.invitation_app.create_invitation_code') as mock_create_invitation:\n\n            mock_get_user.return_value = (\"user-123\", \"tenant-123\")\n            mock_create_invitation.return_value = mock_invitation_info\n\n            request_data = {\n                \"tenant_id\": \"tenant-123\",\n                \"code_type\": \"single_use\",\n                \"invitation_code\": \"ABC123\",\n                \"group_ids\": [1, 2],\n                \"capacity\": 10,\n                \"expiry_date\": \"2024-12-31T23:59:59Z\"\n            }\n\n            response = client.post(\"/invitations\", json=request_data, headers={\"Authorization\": \"Bearer token\"})\n\n            assert response.status_code == HTTPStatus.CREATED\n            data = response.json()\n            assert data[\"message\"] == \"Invitation code created successfully\"\n            assert data[\"data\"] == mock_invitation_info\n\n    def test_create_invitation_auto_generated_code(self):\n        \"\"\"Test invitation creation with auto-generated code\"\"\"\n        mock_invitation_info = {\n            \"invitation_id\": 1,\n            \"invitation_code\": \"AUTO456\",\n            \"code_type\": \"multi_use\",\n            \"tenant_id\": \"tenant-123\",\n            \"capacity\": 50\n        }\n\n        with patch('apps.invitation_app.get_current_user_id') as mock_get_user, \\\n             patch('apps.invitation_app.create_invitation_code') as mock_create_invitation:\n\n            mock_get_user.return_value = (\"user-123\", \"tenant-123\")\n            mock_create_invitation.return_value = mock_invitation_info\n\n            request_data = {\n                \"tenant_id\": \"tenant-123\",\n                \"code_type\": \"multi_use\",\n                \"capacity\": 50\n            }\n\n            response = client.post(\"/invitations\", json=request_data, headers={\"Authorization\": \"Bearer token\"})\n\n            assert response.status_code == HTTPStatus.CREATED\n            data = response.json()\n            assert data[\"data\"][\"invitation_code\"] == \"AUTO456\"\n\n    def test_create_invitation_user_not_found(self):\n        \"\"\"Test invitation creation when user is not found\"\"\"\n        with patch('apps.invitation_app.get_current_user_id') as mock_get_user, \\\n             patch('apps.invitation_app.create_invitation_code') as mock_create_invitation:\n\n            mock_get_user.return_value = (\"user-999\", \"tenant-123\")\n            mock_create_invitation.side_effect = NotFoundException(\"User user-999 not found\")\n\n            request_data = {\n                \"tenant_id\": \"tenant-123\",\n                \"code_type\": \"ADMIN_INVITE\",\n                \"capacity\": 10\n            }\n\n            response = client.post(\"/invitations\", json=request_data, headers={\"Authorization\": \"Bearer token\"})\n\n            assert response.status_code == HTTPStatus.NOT_FOUND\n            data = response.json()\n            assert \"User user-999 not found\" in data[\"detail\"]\n\n    def test_create_invitation_value_error(self):\n        \"\"\"Test invitation creation with value error\"\"\"\n        with patch('apps.invitation_app.get_current_user_id') as mock_get_user, \\\n             patch('apps.invitation_app.create_invitation_code') as mock_create_invitation:\n\n            mock_get_user.return_value = (\"user-123\", \"tenant-123\")\n            mock_create_invitation.side_effect = ValueError(\"Invalid code type\")\n\n            request_data = {\n                \"tenant_id\": \"tenant-123\",\n                \"code_type\": \"invalid_type\",\n                \"capacity\": 10\n            }\n\n            response = client.post(\"/invitations\", json=request_data, headers={\"Authorization\": \"Bearer token\"})\n\n            assert response.status_code == HTTPStatus.BAD_REQUEST\n            data = response.json()\n            assert \"Invalid code type\" in data[\"detail\"]\n\n    def test_create_invitation_duplicate_code(self):\n        \"\"\"Test invitation creation with duplicate invitation code returns 409 Conflict\"\"\"\n        with patch('apps.invitation_app.get_current_user_id') as mock_get_user, \\\n             patch('apps.invitation_app.create_invitation_code') as mock_create_invitation:\n\n            mock_get_user.return_value = (\"user-123\", \"tenant-123\")\n            mock_create_invitation.side_effect = DuplicateError(\"Invitation code 'ABC123' already exists\")\n\n            request_data = {\n                \"tenant_id\": \"tenant-123\",\n                \"code_type\": \"ADMIN_INVITE\",\n                \"invitation_code\": \"ABC123\",\n                \"capacity\": 10\n            }\n\n            response = client.post(\"/invitations\", json=request_data, headers={\"Authorization\": \"Bearer token\"})\n\n            assert response.status_code == HTTPStatus.CONFLICT\n            data = response.json()\n            assert \"Invitation code 'ABC123' already exists\" in data[\"detail\"]\n\n\nclass TestInvitationUpdate:\n    \"\"\"Test invitation update endpoint\"\"\"\n\n    def test_update_invitation_success(self):\n        \"\"\"Test successful invitation update\"\"\"\n        mock_invitation_info = {\n            \"invitation_id\": 1,\n            \"invitation_code\": \"ABC123\"\n        }\n\n        with patch('apps.invitation_app.get_current_user_id') as mock_get_user, \\\n             patch('apps.invitation_app.get_invitation_by_code') as mock_get_invitation, \\\n             patch('apps.invitation_app.update_invitation_code') as mock_update_invitation:\n\n            mock_get_user.return_value = (\"user-123\", \"tenant-123\")\n            mock_get_invitation.return_value = mock_invitation_info\n            mock_update_invitation.return_value = True\n\n            request_data = {\n                \"capacity\": 20,\n                \"expiry_date\": \"2024-12-31T23:59:59Z\"\n            }\n\n            response = client.put(\"/invitations/ABC123\", json=request_data, headers={\"Authorization\": \"Bearer token\"})\n\n            assert response.status_code == HTTPStatus.OK\n            data = response.json()\n            assert data[\"message\"] == \"Invitation code updated successfully\"\n            mock_update_invitation.assert_called_once_with(\n                invitation_id=1,\n                updates={\"capacity\": 20, \"expiry_date\": \"2024-12-31T23:59:59Z\"},\n                user_id=\"user-123\"\n            )\n\n    def test_update_invitation_no_updates(self):\n        \"\"\"Test invitation update with no valid fields\"\"\"\n        mock_invitation_info = {\n            \"invitation_id\": 1,\n            \"invitation_code\": \"ABC123\"\n        }\n\n        with patch('apps.invitation_app.get_current_user_id') as mock_get_user, \\\n             patch('apps.invitation_app.get_invitation_by_code') as mock_get_invitation:\n\n            mock_get_user.return_value = (\"user-123\", \"tenant-123\")\n            mock_get_invitation.return_value = mock_invitation_info\n\n            request_data = {}\n\n            response = client.put(\"/invitations/ABC123\", json=request_data, headers={\"Authorization\": \"Bearer token\"})\n\n            assert response.status_code == HTTPStatus.BAD_REQUEST\n            data = response.json()\n            assert \"No valid fields provided for update\" in data[\"detail\"]\n\n    def test_update_invitation_not_found(self):\n        \"\"\"Test invitation update when invitation doesn't exist\"\"\"\n        with patch('apps.invitation_app.get_current_user_id') as mock_get_user, \\\n             patch('apps.invitation_app.get_invitation_by_code') as mock_get_invitation:\n\n            mock_get_user.return_value = (\"user-123\", \"tenant-123\")\n            mock_get_invitation.return_value = None\n\n            request_data = {\"capacity\": 20}\n\n            response = client.put(\"/invitations/NOTFOUND\", json=request_data, headers={\"Authorization\": \"Bearer token\"})\n\n            assert response.status_code == HTTPStatus.NOT_FOUND\n            data = response.json()\n            assert \"Invitation code NOTFOUND not found\" in data[\"detail\"]\n\n    def test_update_invitation_unauthorized(self):\n        \"\"\"Test invitation update with unauthorized access\"\"\"\n        with patch('apps.invitation_app.get_current_user_id') as mock_get_user:\n            mock_get_user.side_effect = UnauthorizedError(\"Invalid token\")\n\n            request_data = {\"capacity\": 20}\n\n            response = client.put(\"/invitations/ABC123\", json=request_data, headers={\"Authorization\": \"Bearer invalid\"})\n\n            assert response.status_code == HTTPStatus.UNAUTHORIZED\n            data = response.json()\n            assert \"Invalid token\" in data[\"detail\"]\n\n\nclass TestInvitationRetrieval:\n    \"\"\"Test invitation retrieval endpoints\"\"\"\n\n    def test_get_invitation_success(self):\n        \"\"\"Test successful invitation retrieval\"\"\"\n        mock_invitation_info = {\n            \"invitation_id\": 1,\n            \"invitation_code\": \"ABC123\",\n            \"code_type\": \"single_use\",\n            \"tenant_id\": \"tenant-123\",\n            \"capacity\": 10,\n            \"used_count\": 2\n        }\n\n        with patch('apps.invitation_app.get_invitation_by_code') as mock_get_invitation:\n            mock_get_invitation.return_value = mock_invitation_info\n\n            response = client.get(\"/invitations/ABC123\")\n\n            assert response.status_code == HTTPStatus.OK\n            data = response.json()\n            assert data[\"message\"] == \"Invitation code retrieved successfully\"\n            assert data[\"data\"] == mock_invitation_info\n            mock_get_invitation.assert_called_once_with(\"ABC123\")\n\n    def test_get_invitation_not_found(self):\n        \"\"\"Test invitation retrieval when invitation doesn't exist\"\"\"\n        with patch('apps.invitation_app.get_invitation_by_code') as mock_get_invitation:\n            mock_get_invitation.return_value = None\n\n            response = client.get(\"/invitations/NOTFOUND\")\n\n            assert response.status_code == HTTPStatus.NOT_FOUND\n            data = response.json()\n            assert \"Invitation code NOTFOUND not found\" in data[\"detail\"]\n\n    def test_get_invitation_unexpected_error(self):\n        \"\"\"Test invitation retrieval with unexpected error\"\"\"\n        with patch('apps.invitation_app.get_invitation_by_code') as mock_get_invitation:\n            mock_get_invitation.side_effect = Exception(\"Database error\")\n\n            response = client.get(\"/invitations/ABC123\")\n\n            assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n            data = response.json()\n            assert data[\"detail\"] == \"Failed to retrieve invitation code\"\n\n\nclass TestInvitationCodeCheck:\n    \"\"\"Test invitation code check endpoint\"\"\"\n\n    def test_check_invitation_code_exists(self):\n        \"\"\"Test checking invitation code that exists\"\"\"\n        with patch('apps.invitation_app.get_invitation_by_code') as mock_get_invitation:\n            mock_get_invitation.return_value = {\n                \"invitation_id\": 1,\n                \"invitation_code\": \"ABC123\",\n                \"code_type\": \"ADMIN_INVITE\",\n                \"status\": \"IN_USE\"\n            }\n\n            response = client.get(\"/invitations/ABC123/check\")\n\n            assert response.status_code == HTTPStatus.OK\n            data = response.json()\n            assert data[\"message\"] == \"Invitation code check completed\"\n            assert data[\"data\"][\"invitation_code\"] == \"ABC123\"\n            assert data[\"data\"][\"exists\"] is True\n            mock_get_invitation.assert_called_once_with(\"ABC123\")\n\n    def test_check_invitation_code_not_exists(self):\n        \"\"\"Test checking invitation code that doesn't exist\"\"\"\n        with patch('apps.invitation_app.get_invitation_by_code') as mock_get_invitation:\n            mock_get_invitation.return_value = None\n\n            response = client.get(\"/invitations/NOTFOUND/check\")\n\n            assert response.status_code == HTTPStatus.OK\n            data = response.json()\n            assert data[\"data\"][\"invitation_code\"] == \"NOTFOUND\"\n            assert data[\"data\"][\"exists\"] is False\n            mock_get_invitation.assert_called_once_with(\"NOTFOUND\")\n\n    def test_check_invitation_code_unexpected_error(self):\n        \"\"\"Test checking invitation code with unexpected error\"\"\"\n        with patch('apps.invitation_app.get_invitation_by_code') as mock_get_invitation:\n            mock_get_invitation.side_effect = Exception(\"Database error\")\n\n            response = client.get(\"/invitations/ABC123/check\")\n\n            assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n            data = response.json()\n            assert data[\"detail\"] == \"Failed to check invitation code\"\n\n\nclass TestInvitationAvailability:\n    \"\"\"Test invitation availability check endpoint\"\"\"\n\n    def test_check_invitation_available_true(self):\n        \"\"\"Test invitation availability check when available\"\"\"\n        with patch('apps.invitation_app.check_invitation_available') as mock_check_available:\n            mock_check_available.return_value = True\n\n            response = client.get(\"/invitations/ABC123/available\")\n\n            assert response.status_code == HTTPStatus.OK\n            data = response.json()\n            assert data[\"message\"] == \"Invitation availability checked successfully\"\n            assert data[\"data\"][\"invitation_code\"] == \"ABC123\"\n            assert data[\"data\"][\"available\"] is True\n            mock_check_available.assert_called_once_with(\"ABC123\")\n\n    def test_check_invitation_available_false(self):\n        \"\"\"Test invitation availability check when not available\"\"\"\n        with patch('apps.invitation_app.check_invitation_available') as mock_check_available:\n            mock_check_available.return_value = False\n\n            response = client.get(\"/invitations/ABC123/available\")\n\n            assert response.status_code == HTTPStatus.OK\n            data = response.json()\n            assert data[\"data\"][\"available\"] is False\n\n    def test_check_invitation_available_unexpected_error(self):\n        \"\"\"Test invitation availability check with unexpected error\"\"\"\n        with patch('apps.invitation_app.check_invitation_available') as mock_check_available:\n            mock_check_available.side_effect = Exception(\"Database error\")\n\n            response = client.get(\"/invitations/ABC123/available\")\n\n            assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n            data = response.json()\n            assert data[\"detail\"] == \"Failed to check invitation availability\"\n\n\nclass TestInvitationUsage:\n    \"\"\"Test invitation usage endpoint\"\"\"\n\n    def test_use_invitation_success(self):\n        \"\"\"Test successful invitation usage\"\"\"\n        mock_usage_result = {\n            \"invitation_code\": \"ABC123\",\n            \"user_id\": \"user-456\",\n            \"tenant_id\": \"tenant-123\",\n            \"group_ids\": [1, 2],\n            \"success\": True\n        }\n\n        with patch('apps.invitation_app.get_current_user_id') as mock_get_user, \\\n             patch('apps.invitation_app.use_invitation_code') as mock_use_invitation:\n\n            mock_get_user.return_value = (\"user-456\", \"tenant-123\")\n            mock_use_invitation.return_value = mock_usage_result\n\n            response = client.post(\"/invitations/ABC123/use\", headers={\"Authorization\": \"Bearer token\"})\n\n            assert response.status_code == HTTPStatus.OK\n            data = response.json()\n            assert data[\"message\"] == \"Invitation code used successfully\"\n            assert data[\"data\"] == mock_usage_result\n            mock_use_invitation.assert_called_once_with(\n                invitation_code=\"ABC123\",\n                user_id=\"user-456\"\n            )\n\n    def test_use_invitation_not_found(self):\n        \"\"\"Test invitation usage when invitation doesn't exist\"\"\"\n        with patch('apps.invitation_app.get_current_user_id') as mock_get_user, \\\n             patch('apps.invitation_app.use_invitation_code') as mock_use_invitation:\n\n            mock_get_user.return_value = (\"user-456\", \"tenant-123\")\n            mock_use_invitation.side_effect = NotFoundException(\"Invitation code not available\")\n\n            response = client.post(\"/invitations/INVALID/use\", headers={\"Authorization\": \"Bearer token\"})\n\n            assert response.status_code == HTTPStatus.NOT_FOUND\n            data = response.json()\n            assert \"Invitation code not available\" in data[\"detail\"]\n\n    def test_use_invitation_unauthorized(self):\n        \"\"\"Test invitation usage with unauthorized access\"\"\"\n        with patch('apps.invitation_app.get_current_user_id') as mock_get_user:\n            mock_get_user.side_effect = UnauthorizedError(\"Invalid token\")\n\n            response = client.post(\"/invitations/ABC123/use\", headers={\"Authorization\": \"Bearer invalid\"})\n\n            assert response.status_code == HTTPStatus.UNAUTHORIZED\n            data = response.json()\n            assert \"Invalid token\" in data[\"detail\"]\n\n\nclass TestInvitationStatusUpdate:\n    \"\"\"Test invitation status update endpoint\"\"\"\n\n    def test_update_invitation_status_success_updated(self):\n        \"\"\"Test successful invitation status update when status changed\"\"\"\n        mock_invitation_info = {\n            \"invitation_id\": 1,\n            \"invitation_code\": \"ABC123\"\n        }\n\n        with patch('apps.invitation_app.get_invitation_by_code') as mock_get_invitation, \\\n             patch('apps.invitation_app.update_invitation_code_status') as mock_update_status:\n\n            mock_get_invitation.return_value = mock_invitation_info\n            mock_update_status.return_value = True\n\n            response = client.post(\"/invitations/ABC123/update-status\")\n\n            assert response.status_code == HTTPStatus.OK\n            data = response.json()\n            assert data[\"message\"] == \"Invitation status updated\"\n            assert data[\"data\"][\"invitation_code\"] == \"ABC123\"\n            assert data[\"data\"][\"status_updated\"] is True\n            mock_update_status.assert_called_once_with(1)\n\n    def test_update_invitation_status_success_unchanged(self):\n        \"\"\"Test successful invitation status update when status unchanged\"\"\"\n        mock_invitation_info = {\n            \"invitation_id\": 1,\n            \"invitation_code\": \"ABC123\"\n        }\n\n        with patch('apps.invitation_app.get_invitation_by_code') as mock_get_invitation, \\\n             patch('apps.invitation_app.update_invitation_code_status') as mock_update_status:\n\n            mock_get_invitation.return_value = mock_invitation_info\n            mock_update_status.return_value = False\n\n            response = client.post(\"/invitations/ABC123/update-status\")\n\n            assert response.status_code == HTTPStatus.OK\n            data = response.json()\n            assert data[\"message\"] == \"Invitation status unchanged\"\n            assert data[\"data\"][\"status_updated\"] is False\n\n    def test_update_invitation_status_not_found(self):\n        \"\"\"Test invitation status update when invitation doesn't exist\"\"\"\n        with patch('apps.invitation_app.get_invitation_by_code') as mock_get_invitation:\n            mock_get_invitation.return_value = None\n\n            response = client.post(\"/invitations/NOTFOUND/update-status\")\n\n            assert response.status_code == HTTPStatus.NOT_FOUND\n            data = response.json()\n            assert \"Invitation code NOTFOUND not found\" in data[\"detail\"]\n\n    def test_update_invitation_status_unexpected_error(self):\n        \"\"\"Test invitation status update with unexpected error\"\"\"\n        mock_invitation_info = {\n            \"invitation_id\": 1,\n            \"invitation_code\": \"ABC123\"\n        }\n\n        with patch('apps.invitation_app.get_invitation_by_code') as mock_get_invitation, \\\n             patch('apps.invitation_app.update_invitation_code_status') as mock_update_status:\n\n            mock_get_invitation.return_value = mock_invitation_info\n            mock_update_status.side_effect = Exception(\"Database error\")\n\n            response = client.post(\"/invitations/ABC123/update-status\")\n\n            assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n            data = response.json()\n            assert data[\"detail\"] == \"Failed to update invitation status\"\n\n\nclass TestInvitationDeletion:\n    \"\"\"Test invitation deletion endpoint\"\"\"\n\n    def test_delete_invitation_success(self):\n        \"\"\"Test successful invitation deletion\"\"\"\n        mock_invitation_info = {\n            \"invitation_id\": 1,\n            \"invitation_code\": \"ABC123\"\n        }\n\n        with patch('apps.invitation_app.get_current_user_id') as mock_get_user, \\\n             patch('apps.invitation_app.get_invitation_by_code') as mock_get_invitation, \\\n             patch('apps.invitation_app.delete_invitation_code') as mock_delete_invitation:\n\n            mock_get_user.return_value = (\"user-123\", \"tenant-123\")\n            mock_get_invitation.return_value = mock_invitation_info\n            mock_delete_invitation.return_value = True\n\n            response = client.delete(\"/invitations/ABC123\", headers={\"Authorization\": \"Bearer token\"})\n\n            assert response.status_code == HTTPStatus.OK\n            data = response.json()\n            assert data[\"message\"] == \"Invitation code deleted successfully\"\n            mock_delete_invitation.assert_called_once_with(\n                invitation_id=1,\n                user_id=\"user-123\"\n            )\n\n    def test_delete_invitation_not_found(self):\n        \"\"\"Test invitation deletion when invitation doesn't exist\"\"\"\n        with patch('apps.invitation_app.get_current_user_id') as mock_get_user, \\\n             patch('apps.invitation_app.get_invitation_by_code') as mock_get_invitation:\n\n            mock_get_user.return_value = (\"user-123\", \"tenant-123\")\n            mock_get_invitation.return_value = None\n\n            response = client.delete(\"/invitations/NOTFOUND\", headers={\"Authorization\": \"Bearer token\"})\n\n            assert response.status_code == HTTPStatus.NOT_FOUND\n            data = response.json()\n            assert \"Invitation code NOTFOUND not found\" in data[\"detail\"]\n\n    def test_delete_invitation_unauthorized(self):\n        \"\"\"Test invitation deletion with unauthorized access\"\"\"\n        with patch('apps.invitation_app.get_current_user_id') as mock_get_user, \\\n             patch('apps.invitation_app.delete_invitation_code') as mock_delete_invitation:\n\n            mock_get_user.return_value = (\"user-123\", \"tenant-123\")\n            mock_delete_invitation.side_effect = UnauthorizedError(\"User role USER not authorized to delete invitation codes\")\n\n            # Need a valid invitation code for the request\n            mock_invitation_info = {\"invitation_id\": 1, \"invitation_code\": \"ABC123\"}\n\n            with patch('apps.invitation_app.get_invitation_by_code') as mock_get_invitation:\n                mock_get_invitation.return_value = mock_invitation_info\n\n                response = client.delete(\"/invitations/ABC123\", headers={\"Authorization\": \"Bearer token\"})\n\n                assert response.status_code == HTTPStatus.UNAUTHORIZED\n                data = response.json()\n                assert \"not authorized to delete invitation codes\" in data[\"detail\"]\n\n    def test_delete_invitation_validation_error(self):\n        \"\"\"Test invitation deletion with validation error\"\"\"\n        mock_invitation_info = {\n            \"invitation_id\": 1,\n            \"invitation_code\": \"ABC123\"\n        }\n\n        with patch('apps.invitation_app.get_current_user_id') as mock_get_user, \\\n             patch('apps.invitation_app.get_invitation_by_code') as mock_get_invitation, \\\n             patch('apps.invitation_app.delete_invitation_code') as mock_delete_invitation:\n\n            mock_get_user.return_value = (\"user-123\", \"tenant-123\")\n            mock_get_invitation.return_value = mock_invitation_info\n            mock_delete_invitation.side_effect = ValidationError(\"Failed to delete invitation code\")\n\n            response = client.delete(\"/invitations/ABC123\", headers={\"Authorization\": \"Bearer token\"})\n\n            assert response.status_code == HTTPStatus.BAD_REQUEST\n            data = response.json()\n            assert \"Failed to delete invitation code\" in data[\"detail\"]\n"
  },
  {
    "path": "test/backend/app/test_knowledge_summary_app.py",
    "content": "import pytest\nimport sys\nimport os\nimport types\nfrom unittest.mock import patch, MagicMock, AsyncMock\n\n# Add path for correct imports\nCURRENT_DIR = os.path.dirname(__file__)\nPROJECT_ROOT = os.path.abspath(os.path.join(CURRENT_DIR, \"../../..\"))\nBACKEND_DIR = os.path.join(PROJECT_ROOT, \"backend\")\nfor path in (PROJECT_ROOT, BACKEND_DIR):\n    if path not in sys.path:\n        sys.path.insert(0, path)\n\n# Environment variables are now configured in conftest.py\n\n# Mock external dependencies\nsys.modules['boto3'] = MagicMock()\nsys.modules['botocore'] = MagicMock()\nsys.modules['botocore.client'] = MagicMock()\nsys.modules['botocore.exceptions'] = MagicMock()\nsys.modules['nexent'] = MagicMock()\nsys.modules['nexent.core'] = MagicMock()\nsys.modules['nexent.core.agents'] = MagicMock()\nsys.modules['nexent.core.agents.agent_model'] = MagicMock()\nsys.modules['nexent.core.models'] = MagicMock()\nsys.modules['nexent.core.models.embedding_model'] = MagicMock()\nsys.modules['nexent.core.models.stt_model'] = MagicMock()\nsys.modules['nexent.core.models.tts_model'] = MagicMock()\nsys.modules['nexent.core.nlp'] = MagicMock()\nsys.modules['nexent.core.nlp.tokenizer'] = MagicMock()\nvector_db_module = types.ModuleType(\"nexent.vector_database\")\nvector_db_base_module = types.ModuleType(\"nexent.vector_database.base\")\n\n\nclass MockVectorDatabaseCore:\n    def __init__(self, *args, **kwargs):\n        pass\n\n\nvector_db_base_module.VectorDatabaseCore = MockVectorDatabaseCore\nvector_db_module.base = vector_db_base_module\n\nsys.modules['nexent.vector_database'] = vector_db_module\nsys.modules['nexent.vector_database.base'] = vector_db_base_module\nsys.modules['nexent.vector_database.elasticsearch_core'] = MagicMock()\n# Provide datamate_core module with DataMateCore to satisfy imports like\n# `from nexent.vector_database.datamate_core import DataMateCore`\ndatamate_core_module = types.ModuleType(\"nexent.vector_database.datamate_core\")\ndatamate_core_module.DataMateCore = MagicMock()\nsys.modules['nexent.vector_database.datamate_core'] = datamate_core_module\n\n# Mock specific classes that are imported\nclass MockToolConfig:\n    def __init__(self, *args, **kwargs): pass\nclass MockBaseEmbedding:\n    def __init__(self, *args, **kwargs): pass\nclass MockOpenAICompatibleEmbedding:\n    def __init__(self, *args, **kwargs): pass\nclass MockJinaEmbedding:\n    def __init__(self, *args, **kwargs): pass\nclass MockTokenizer:\n    def __init__(self, *args, **kwargs): pass\nclass MockSTTConfig:\n    def __init__(self, *args, **kwargs): pass\nclass MockSTTModel:\n    def __init__(self, *args, **kwargs): pass\nclass MockTTSConfig:\n    def __init__(self, *args, **kwargs): pass\nclass MockTTSModel:\n    def __init__(self, *args, **kwargs): pass\n\nsys.modules['nexent.core.agents.agent_model'].ToolConfig = MockToolConfig\nsys.modules['nexent.core.models.embedding_model'].BaseEmbedding = MockBaseEmbedding\nsys.modules['nexent.core.models.embedding_model'].OpenAICompatibleEmbedding = MockOpenAICompatibleEmbedding\nsys.modules['nexent.core.models.embedding_model'].JinaEmbedding = MockJinaEmbedding\nsys.modules['nexent.core.nlp.tokenizer'].Tokenizer = MockTokenizer\nsys.modules['nexent.core.models.stt_model'].STTConfig = MockSTTConfig\nsys.modules['nexent.core.models.stt_model'].STTModel = MockSTTModel\nsys.modules['nexent.core.models.tts_model'].TTSConfig = MockTTSConfig\nsys.modules['nexent.core.models.tts_model'].TTSModel = MockTTSModel\nsys.modules['nexent.storage.storage_client_factory'] = MagicMock()\nsys.modules['nexent.memory.memory_service'] = MagicMock()\n\n# Patch storage factory and MinIO config validation to avoid errors during initialization\n# These patches must be started before any imports that use MinioClient\nstorage_client_mock = MagicMock()\nminio_client_mock = MagicMock()\npatch('nexent.storage.storage_client_factory.create_storage_client_from_config', return_value=storage_client_mock).start()\npatch('nexent.storage.minio_config.MinIOStorageConfig.validate', lambda self: None).start()\npatch('backend.database.client.MinioClient', return_value=minio_client_mock).start()\n\n# Import the modules we need with all dependencies mocked\nwith patch('botocore.client.BaseClient._make_api_call'), \\\n     patch('elasticsearch.Elasticsearch', return_value=MagicMock()), \\\n     patch('database.client.db_client', MagicMock()), \\\n     patch('database.client.get_db_session', MagicMock()), \\\n     patch('database.client.as_dict', MagicMock()):\n    from fastapi.testclient import TestClient\n    from fastapi import FastAPI\n    from pydantic import BaseModel\n    from backend.apps.knowledge_summary_app import router\n\n# Define test models\nclass ChangeSummaryRequest(BaseModel):\n    summary_result: str\n\n# Create test app and client\napp = FastAPI()\napp.include_router(router)\nclient = TestClient(app)\n\n# Fixture for test setup\n@pytest.fixture\ndef test_data():\n    # Sample test data\n    data = {\n        \"index_name\": \"test_index\",\n        \"user_id\": (\"test_user_id\", \"test_tenant_id\"),\n        \"user_info\": (\"test_user_id\", \"test_tenant_id\", \"en\"),\n        \"summary_result\": \"This is a test summary for the knowledge base\",\n        \"auth_header\": {\"Authorization\": \"Bearer test_token\"}\n    }\n    return data\n\ndef test_auto_summary_success(test_data):\n    \"\"\"Test successful auto summary generation\"\"\"\n    # Setup mock responses\n    mock_vdb_core_instance = MagicMock()\n    mock_user_info = (\"test_user_id\", \"test_tenant_id\", \"en\")\n\n    # Setup service mock\n    mock_service_instance = MagicMock()\n    mock_service_instance.summary_index_name = AsyncMock()\n    stream_response = MagicMock()\n    mock_service_instance.summary_index_name.return_value = stream_response\n\n    # Patch all necessary components directly in the app module\n    with patch('backend.apps.knowledge_summary_app.ElasticSearchService', return_value=mock_service_instance), \\\n            patch('backend.apps.knowledge_summary_app.get_vector_db_core', return_value=mock_vdb_core_instance), \\\n            patch('backend.apps.knowledge_summary_app.get_current_user_info', return_value=mock_user_info):\n\n        # Execute test with model_id parameter\n        response = client.post(\n            f\"/summary/{test_data['index_name']}/auto_summary?batch_size=500&model_id=1\",\n            headers=test_data[\"auth_header\"]\n        )\n\n        assert response.status_code == 200\n\n        # Assertions - verify the function was called exactly once\n        assert mock_service_instance.summary_index_name.call_count == 1\n\n        # Extract the call arguments to verify expected values without comparing object identity\n        call_kwargs = mock_service_instance.summary_index_name.call_args.kwargs\n        assert call_kwargs['index_name'] == test_data['index_name']\n        assert call_kwargs['batch_size'] == 500\n        assert call_kwargs['tenant_id'] == mock_user_info[1]\n        assert call_kwargs['language'] == mock_user_info[2]\n        assert call_kwargs['model_id'] == 1\n\ndef test_auto_summary_without_model_id(test_data):\n    \"\"\"Test successful auto summary generation without model_id parameter\"\"\"\n    # Setup mock responses\n    mock_vdb_core_instance = MagicMock()\n    mock_user_info = (\"test_user_id\", \"test_tenant_id\", \"en\")\n\n    # Setup service mock\n    mock_service_instance = MagicMock()\n    mock_service_instance.summary_index_name = AsyncMock()\n    stream_response = MagicMock()\n    mock_service_instance.summary_index_name.return_value = stream_response\n\n    # Patch all necessary components directly in the app module\n    with patch('backend.apps.knowledge_summary_app.ElasticSearchService', return_value=mock_service_instance), \\\n            patch('backend.apps.knowledge_summary_app.get_vector_db_core', return_value=mock_vdb_core_instance), \\\n            patch('backend.apps.knowledge_summary_app.get_current_user_info', return_value=mock_user_info):\n\n        # Execute test without model_id parameter\n        response = client.post(\n            f\"/summary/{test_data['index_name']}/auto_summary?batch_size=500\",\n            headers=test_data[\"auth_header\"]\n        )\n\n        assert response.status_code == 200\n\n        # Assertions - verify the function was called exactly once\n        assert mock_service_instance.summary_index_name.call_count == 1\n\n        # Extract the call arguments to verify expected values without comparing object identity\n        call_kwargs = mock_service_instance.summary_index_name.call_args.kwargs\n        assert call_kwargs['index_name'] == test_data['index_name']\n        assert call_kwargs['batch_size'] == 500\n        assert call_kwargs['tenant_id'] == mock_user_info[1]\n        assert call_kwargs['language'] == mock_user_info[2]\n        assert call_kwargs['model_id'] is None\n\ndef test_auto_summary_exception(test_data):\n    \"\"\"Test auto summary generation with exception\"\"\"\n    # Setup mock to raise exception\n    mock_vdb_core_instance = MagicMock()\n    mock_user_info = (\"test_user_id\", \"test_tenant_id\", \"en\")\n\n    # Setup service mock to raise exception\n    mock_service_instance = MagicMock()\n    mock_service_instance.summary_index_name = AsyncMock(\n        side_effect=Exception(\"Error generating summary\")\n    )\n\n    # Patch both the ElasticSearchService and get_vector_db_core in the route handler\n    with patch('backend.apps.knowledge_summary_app.ElasticSearchService', return_value=mock_service_instance), \\\n            patch('backend.apps.knowledge_summary_app.get_vector_db_core', return_value=mock_vdb_core_instance), \\\n            patch('backend.apps.knowledge_summary_app.get_current_user_info', return_value=mock_user_info):\n\n        # Execute test\n        response = client.post(\n            f\"/summary/{test_data['index_name']}/auto_summary\",\n            headers=test_data[\"auth_header\"]\n        )\n\n        # Assertions\n        assert response.status_code == 500\n        assert \"text/event-stream\" in response.headers[\"content-type\"]\n        assert \"Knowledge base summary generation failed\" in response.text\n\ndef test_change_summary_success(test_data):\n    \"\"\"Test successful summary update\"\"\"\n    # Setup request data using a dictionary that conforms to ChangeSummaryRequest model\n    request_data = {\n        \"summary_result\": test_data[\"summary_result\"]\n    }\n\n    # Ensure we return a dictionary instead of a MagicMock object\n    expected_response = {\n        \"success\": True,\n        \"index_name\": test_data[\"index_name\"],\n        \"summary\": test_data[\"summary_result\"]\n    }\n\n    # Setup service mock\n    mock_service_instance = MagicMock()\n    mock_service_instance.change_summary.return_value = expected_response\n\n    # Execute test with direct patching of route handler function\n    with patch('backend.apps.knowledge_summary_app.ElasticSearchService', return_value=mock_service_instance), \\\n            patch('backend.apps.knowledge_summary_app.get_current_user_id', return_value=test_data[\"user_id\"]):\n\n        response = client.post(\n            f\"/summary/{test_data['index_name']}/summary\",\n            json=request_data,\n            headers=test_data[\"auth_header\"]\n        )\n\n    # Assertions\n    assert response.status_code == 200\n    response_json = response.json()\n    assert response_json[\"success\"] is True\n    assert response_json[\"index_name\"] == test_data[\"index_name\"]\n    assert response_json[\"summary\"] == test_data[\"summary_result\"]\n\n    # Verify service calls\n    mock_service_instance.change_summary.assert_called_once_with(\n        index_name=test_data[\"index_name\"],\n        summary_result=test_data[\"summary_result\"],\n        user_id=test_data[\"user_id\"][0]\n    )\n\ndef test_change_summary_exception(test_data):\n    \"\"\"Test summary update with exception\"\"\"\n    # Setup request data\n    request_data = {\n        \"summary_result\": test_data[\"summary_result\"]\n    }\n\n    # Setup service mock to raise exception\n    mock_service_instance = MagicMock()\n    mock_service_instance.change_summary.side_effect = Exception(\"Error updating summary\")\n\n    # Execute test\n    with patch('backend.apps.knowledge_summary_app.ElasticSearchService', return_value=mock_service_instance), \\\n            patch('backend.apps.knowledge_summary_app.get_current_user_id', return_value=test_data[\"user_id\"]):\n\n        response = client.post(\n            f\"/summary/{test_data['index_name']}/summary\",\n            json=request_data,\n            headers=test_data[\"auth_header\"]\n        )\n\n    # Assertions\n    assert response.status_code == 500\n    assert \"Knowledge base summary update failed\" in response.json()[\"detail\"]\n\ndef test_get_summary_success(test_data):\n    \"\"\"Test successful summary retrieval\"\"\"\n    # Ensure we return a dictionary instead of a MagicMock object\n    expected_response = {\n        \"success\": True,\n        \"index_name\": test_data[\"index_name\"],\n        \"summary\": test_data[\"summary_result\"]\n    }\n\n    # Setup service mock\n    mock_service_instance = MagicMock()\n    mock_service_instance.get_summary.return_value = expected_response\n\n    with patch('backend.apps.knowledge_summary_app.ElasticSearchService', return_value=mock_service_instance):\n        # Execute test\n        response = client.get(f\"/summary/{test_data['index_name']}/summary\")\n\n    # Assertions\n    assert response.status_code == 200\n    assert response.json() == expected_response\n\n    # Verify service calls\n    mock_service_instance.get_summary.assert_called_once_with(\n        index_name=test_data[\"index_name\"]\n    )\n\ndef test_get_summary_exception(test_data):\n    \"\"\"Test summary retrieval with exception\"\"\"\n    # Setup service mock to raise exception\n    mock_service_instance = MagicMock()\n    mock_service_instance.get_summary.side_effect = Exception(\"Error getting summary\")\n\n    with patch('backend.apps.knowledge_summary_app.ElasticSearchService', return_value=mock_service_instance):\n        # Execute test\n        response = client.get(f\"/summary/{test_data['index_name']}/summary\")\n\n    # Assertions\n    assert response.status_code == 500\n    assert \"Failed to get knowledge base summary\" in response.json()[\"detail\"]\n"
  },
  {
    "path": "test/backend/app/test_memory_config_app.py",
    "content": "from unittest.mock import patch, MagicMock, AsyncMock\nimport sys\nimport os\n\n# Add path for correct imports\nsys.path.insert(0, os.path.join(os.path.dirname(__file__), \"../../../backend\"))\nsys.modules['boto3'] = MagicMock()\n\n# Apply critical patches before importing any modules\n# This prevents real AWS/MinIO/Elasticsearch calls during import\npatch('botocore.client.BaseClient._make_api_call', return_value={}).start()\n\n# Patch storage factory and MinIO config validation to avoid errors during initialization\n# These patches must be started before any imports that use MinioClient\nstorage_client_mock = MagicMock()\nminio_mock = MagicMock()\nminio_mock._ensure_bucket_exists = MagicMock()\nminio_mock.client = MagicMock()\npatch('nexent.storage.storage_client_factory.create_storage_client_from_config', return_value=storage_client_mock).start()\npatch('nexent.storage.minio_config.MinIOStorageConfig.validate', lambda self: None).start()\npatch('backend.database.client.MinioClient', return_value=minio_mock).start()\npatch('database.client.MinioClient', return_value=minio_mock).start()\npatch('backend.database.client.minio_client', minio_mock).start()\npatch('database.client.minio_client', minio_mock).start()\npatch('elasticsearch.Elasticsearch', return_value=MagicMock()).start()\n\n# Import exception classes\nfrom consts.exceptions import UnauthorizedError\nfrom fastapi import FastAPI\nfrom fastapi.testclient import TestClient\nfrom http import HTTPStatus\n\n# Build app with target router\nfrom apps.memory_config_app import router as memory_router\n\napp = FastAPI()\napp.include_router(memory_router)\nclient = TestClient(app)\n\n\ndef _auth_headers():\n    return {\"Authorization\": \"Bearer test-token\"}\n\n\nclass TestMemoryConfigLoad:\n    def test_load_configs_success(self):\n        with patch(\"apps.memory_config_app.get_current_user_id\", return_value=(\"u\", \"t\")):\n            with patch(\"apps.memory_config_app.get_user_configs\", return_value={\"k\": \"v\"}) as m_get:\n                resp = client.get(\"/memory/config/load\",\n                                  headers=_auth_headers())\n                assert resp.status_code == HTTPStatus.OK\n                assert resp.json() == {\"k\": \"v\"}\n                m_get.assert_called_once_with(\"u\")\n\n    def test_load_configs_unauthorized(self):\n        with patch(\"apps.memory_config_app.get_current_user_id\", side_effect=UnauthorizedError(\"unauth\")):\n            resp = client.get(\"/memory/config/load\",\n                              headers=_auth_headers())\n            assert resp.status_code == HTTPStatus.UNAUTHORIZED\n\n    def test_load_configs_generic_error(self):\n        with patch(\"apps.memory_config_app.get_current_user_id\", return_value=(\"u\", \"t\")):\n            with patch(\"apps.memory_config_app.get_user_configs\", side_effect=Exception(\"boom\")):\n                resp = client.get(\"/memory/config/load\",\n                                  headers=_auth_headers())\n                assert resp.status_code == HTTPStatus.BAD_REQUEST\n                assert resp.json()[\n                    \"detail\"] == \"Failed to load configuration\"\n\n\nclass TestSetSingleConfig:\n    def test_set_memory_switch_true_string(self):\n        with patch(\"apps.memory_config_app.get_current_user_id\", return_value=(\"u\", \"t\")):\n            with patch(\"apps.memory_config_app.set_memory_switch\", return_value=True) as m_set:\n                resp = client.post(\n                    \"/memory/config/set\",\n                    json={\"key\": \"MEMORY_SWITCH\", \"value\": \"true\"},\n                    headers=_auth_headers(),\n                )\n                assert resp.status_code == HTTPStatus.OK\n                assert resp.json() == {\"success\": True}\n                m_set.assert_called_once_with(\"u\", True)\n\n    def test_set_memory_switch_yes_uppercase(self):\n        with patch(\"apps.memory_config_app.get_current_user_id\", return_value=(\"u\", \"t\")):\n            with patch(\"apps.memory_config_app.set_memory_switch\", return_value=True) as m_set:\n                resp = client.post(\n                    \"/memory/config/set\",\n                    json={\"key\": \"MEMORY_SWITCH\", \"value\": \"YES\"},\n                    headers=_auth_headers(),\n                )\n                assert resp.status_code == HTTPStatus.OK\n                assert resp.json() == {\"success\": True}\n                m_set.assert_called_once_with(\"u\", True)\n\n    def test_set_memory_switch_false_numeric_and_fail(self):\n        with patch(\"apps.memory_config_app.get_current_user_id\", return_value=(\"u\", \"t\")):\n            with patch(\"apps.memory_config_app.set_memory_switch\", return_value=False) as m_set:\n                resp = client.post(\n                    \"/memory/config/set\",\n                    json={\"key\": \"MEMORY_SWITCH\", \"value\": 0},\n                    headers=_auth_headers(),\n                )\n                assert resp.status_code == HTTPStatus.BAD_REQUEST\n                assert resp.json()[\n                    \"detail\"] == \"Failed to update configuration\"\n                m_set.assert_called_once_with(\"u\", False)\n\n    def test_set_agent_share_valid(self):\n        with patch(\"apps.memory_config_app.get_current_user_id\", return_value=(\"u\", \"t\")):\n            with patch(\"apps.memory_config_app.set_agent_share\", return_value=True) as m_set:\n                resp = client.post(\n                    \"/memory/config/set\",\n                    json={\"key\": \"MEMORY_AGENT_SHARE\", \"value\": \"ask\"},\n                    headers=_auth_headers(),\n                )\n                assert resp.status_code == HTTPStatus.OK\n                assert resp.json() == {\"success\": True}\n                # enum constructed from string 'ask'\n                args, _ = m_set.call_args\n                assert args[0] == \"u\"\n                assert str(args[1]) == \"MemoryAgentShareMode.ASK\" or str(\n                    args[1]).endswith(\"ask\")\n\n    def test_set_agent_share_invalid_value(self):\n        with patch(\"apps.memory_config_app.get_current_user_id\", return_value=(\"u\", \"t\")):\n            resp = client.post(\n                \"/memory/config/set\",\n                json={\"key\": \"MEMORY_AGENT_SHARE\", \"value\": \"invalid\"},\n                headers=_auth_headers(),\n            )\n            assert resp.status_code == HTTPStatus.NOT_ACCEPTABLE\n\n    def test_set_unsupported_key(self):\n        with patch(\"apps.memory_config_app.get_current_user_id\", return_value=(\"u\", \"t\")):\n            resp = client.post(\n                \"/memory/config/set\",\n                json={\"key\": \"NOT_SUPPORTED\", \"value\": \"x\"},\n                headers=_auth_headers(),\n            )\n            assert resp.status_code == HTTPStatus.NOT_ACCEPTABLE\n\n    def test_set_agent_share_backend_failure(self):\n        with patch(\"apps.memory_config_app.get_current_user_id\", return_value=(\"u\", \"t\")):\n            with patch(\"apps.memory_config_app.set_agent_share\", return_value=False):\n                resp = client.post(\n                    \"/memory/config/set\",\n                    json={\"key\": \"MEMORY_AGENT_SHARE\", \"value\": \"always\"},\n                    headers=_auth_headers(),\n                )\n                assert resp.status_code == HTTPStatus.BAD_REQUEST\n                assert resp.json()[\n                    \"detail\"] == \"Failed to update configuration\"\n\n\nclass TestDisableAgentEndpoints:\n    def test_add_disable_agent_success(self):\n        with patch(\"apps.memory_config_app.get_current_user_id\", return_value=(\"u\", \"t\")):\n            with patch(\"apps.memory_config_app.add_disabled_agent_id\", return_value=True):\n                resp = client.post(\n                    \"/memory/config/disable_agent\",\n                    json={\"agent_id\": \"A1\"},\n                    headers=_auth_headers(),\n                )\n                assert resp.status_code == HTTPStatus.OK\n                assert resp.json() == {\"success\": True}\n\n    def test_add_disable_agent_failure(self):\n        with patch(\"apps.memory_config_app.get_current_user_id\", return_value=(\"u\", \"t\")):\n            with patch(\"apps.memory_config_app.add_disabled_agent_id\", return_value=False):\n                resp = client.post(\n                    \"/memory/config/disable_agent\",\n                    json={\"agent_id\": \"A1\"},\n                    headers=_auth_headers(),\n                )\n                assert resp.status_code == HTTPStatus.BAD_REQUEST\n\n    def test_remove_disable_agent_success(self):\n        with patch(\"apps.memory_config_app.get_current_user_id\", return_value=(\"u\", \"t\")):\n            with patch(\"apps.memory_config_app.remove_disabled_agent_id\", return_value=True):\n                resp = client.delete(\n                    \"/memory/config/disable_agent/A1\",\n                    headers=_auth_headers(),\n                )\n                assert resp.status_code == HTTPStatus.OK\n                assert resp.json() == {\"success\": True}\n\n    def test_remove_disable_agent_failure(self):\n        with patch(\"apps.memory_config_app.get_current_user_id\", return_value=(\"u\", \"t\")):\n            with patch(\"apps.memory_config_app.remove_disabled_agent_id\", return_value=False):\n                resp = client.delete(\n                    \"/memory/config/disable_agent/A1\",\n                    headers=_auth_headers(),\n                )\n                assert resp.status_code == HTTPStatus.BAD_REQUEST\n\n\nclass TestDisableUserAgentEndpoints:\n    def test_add_disable_useragent_success(self):\n        with patch(\"apps.memory_config_app.get_current_user_id\", return_value=(\"u\", \"t\")):\n            with patch(\"apps.memory_config_app.add_disabled_useragent_id\", return_value=True):\n                resp = client.post(\n                    \"/memory/config/disable_useragent\",\n                    json={\"agent_id\": \"UA1\"},\n                    headers=_auth_headers(),\n                )\n                assert resp.status_code == HTTPStatus.OK\n                assert resp.json() == {\"success\": True}\n\n    def test_add_disable_useragent_failure(self):\n        with patch(\"apps.memory_config_app.get_current_user_id\", return_value=(\"u\", \"t\")):\n            with patch(\"apps.memory_config_app.add_disabled_useragent_id\", return_value=False):\n                resp = client.post(\n                    \"/memory/config/disable_useragent\",\n                    json={\"agent_id\": \"UA1\"},\n                    headers=_auth_headers(),\n                )\n                assert resp.status_code == HTTPStatus.BAD_REQUEST\n\n    def test_remove_disable_useragent_success(self):\n        with patch(\"apps.memory_config_app.get_current_user_id\", return_value=(\"u\", \"t\")):\n            with patch(\"apps.memory_config_app.remove_disabled_useragent_id\", return_value=True):\n                resp = client.delete(\n                    \"/memory/config/disable_useragent/UA1\",\n                    headers=_auth_headers(),\n                )\n                assert resp.status_code == HTTPStatus.OK\n                assert resp.json() == {\"success\": True}\n\n    def test_remove_disable_useragent_failure(self):\n        with patch(\"apps.memory_config_app.get_current_user_id\", return_value=(\"u\", \"t\")):\n            with patch(\"apps.memory_config_app.remove_disabled_useragent_id\", return_value=False):\n                resp = client.delete(\n                    \"/memory/config/disable_useragent/UA1\",\n                    headers=_auth_headers(),\n                )\n                assert resp.status_code == HTTPStatus.BAD_REQUEST\n\n\nclass TestMemoryCrud:\n    def test_add_memory_success(self):\n        async def _ok_add(**kwargs):\n            return {\"added\": True, \"payload\": kwargs.get(\"messages\")}\n\n        with patch(\"apps.memory_config_app.get_current_user_id\", return_value=(\"u\", \"t\")):\n            with patch(\"apps.memory_config_app.build_memory_config\", return_value={\"cfg\": 1}):\n                with patch(\"apps.memory_config_app.svc_add_memory\", _ok_add):\n                    resp = client.post(\n                        \"/memory/add\",\n                        json={\n                            \"messages\": [{\"role\": \"user\", \"content\": \"hi\"}],\n                            \"memory_level\": \"user\",\n                            \"agent_id\": None,\n                            \"infer\": True,\n                        },\n                        headers=_auth_headers(),\n                    )\n                    assert resp.status_code == HTTPStatus.OK\n                    data = resp.json()\n                    assert data[\"added\"] is True\n\n    def test_add_memory_error(self):\n        async def _err_add(**kwargs):\n            raise RuntimeError(\"add-fail\")\n\n        with patch(\"apps.memory_config_app.get_current_user_id\", return_value=(\"u\", \"t\")):\n            with patch(\"apps.memory_config_app.build_memory_config\", return_value={\"cfg\": 1}):\n                with patch(\"apps.memory_config_app.svc_add_memory\", _err_add):\n                    resp = client.post(\n                        \"/memory/add\",\n                        json={\n                            \"messages\": [{\"role\": \"user\", \"content\": \"hi\"}],\n                            \"memory_level\": \"user\",\n                        },\n                        headers=_auth_headers(),\n                    )\n                    assert resp.status_code == HTTPStatus.BAD_REQUEST\n\n    def test_add_memory_infer_flag_false(self):\n        async def _ok_add(**kwargs):\n            return {\"added\": True, \"infer\": kwargs.get(\"infer\")}\n\n        with patch(\"apps.memory_config_app.get_current_user_id\", return_value=(\"u\", \"t\")):\n            with patch(\"apps.memory_config_app.build_memory_config\", return_value={\"cfg\": 1}):\n                with patch(\"apps.memory_config_app.svc_add_memory\", _ok_add):\n                    resp = client.post(\n                        \"/memory/add\",\n                        json={\n                            \"messages\": [{\"role\": \"user\", \"content\": \"hi\"}],\n                            \"memory_level\": \"user\",\n                            \"infer\": False,\n                        },\n                        headers=_auth_headers(),\n                    )\n                    assert resp.status_code == HTTPStatus.OK\n                    data = resp.json()\n                    assert data[\"infer\"] is False\n\n    def test_search_memory_success_and_error(self):\n        async def _ok_search(**kwargs):\n            return {\"hits\": [1, 2], \"top_k\": kwargs.get(\"top_k\")}\n\n        async def _err_search(**kwargs):\n            raise ValueError(\"search-fail\")\n\n        with patch(\"apps.memory_config_app.get_current_user_id\", return_value=(\"u\", \"t\")):\n            with patch(\"apps.memory_config_app.build_memory_config\", return_value={\"cfg\": 1}):\n                with patch(\"apps.memory_config_app.svc_search_memory\", _ok_search):\n                    resp = client.post(\n                        \"/memory/search\",\n                        json={\n                            \"query_text\": \"hello\",\n                            \"memory_level\": \"user\",\n                            \"top_k\": 3,\n                        },\n                        headers=_auth_headers(),\n                    )\n                    assert resp.status_code == HTTPStatus.OK\n                    assert resp.json()[\"top_k\"] == 3\n\n        with patch(\"apps.memory_config_app.get_current_user_id\", return_value=(\"u\", \"t\")):\n            with patch(\"apps.memory_config_app.build_memory_config\", return_value={\"cfg\": 1}):\n                with patch(\"apps.memory_config_app.svc_search_memory\", _err_search):\n                    resp = client.post(\n                        \"/memory/search\",\n                        json={\"query_text\": \"hello\",\n                              \"memory_level\": \"user\"},\n                        headers=_auth_headers(),\n                    )\n                    assert resp.status_code == HTTPStatus.BAD_REQUEST\n\n    def test_search_memory_default_top_k(self):\n        async def _ok_search(**kwargs):\n            return {\"hits\": [], \"top_k\": kwargs.get(\"top_k\")}\n\n        with patch(\"apps.memory_config_app.get_current_user_id\", return_value=(\"u\", \"t\")):\n            with patch(\"apps.memory_config_app.build_memory_config\", return_value={\"cfg\": 1}):\n                with patch(\"apps.memory_config_app.svc_search_memory\", _ok_search):\n                    resp = client.post(\n                        \"/memory/search\",\n                        json={\n                            \"query_text\": \"hello\",\n                            \"memory_level\": \"user\",\n                        },\n                        headers=_auth_headers(),\n                    )\n                    assert resp.status_code == HTTPStatus.OK\n                    assert resp.json()[\"top_k\"] == 5\n\n    def test_list_memory_success_and_error(self):\n        async def _ok_list(**kwargs):\n            return {\"items\": [1], \"total\": 1}\n\n        async def _err_list(**kwargs):\n            raise RuntimeError(\"list-fail\")\n\n        with patch(\"apps.memory_config_app.get_current_user_id\", return_value=(\"u\", \"t\")):\n            with patch(\"apps.memory_config_app.build_memory_config\", return_value={\"cfg\": 1}):\n                with patch(\"apps.memory_config_app.svc_list_memory\", _ok_list):\n                    resp = client.get(\n                        \"/memory/list\",\n                        params={\"memory_level\": \"user\"},\n                        headers=_auth_headers(),\n                    )\n                    assert resp.status_code == HTTPStatus.OK\n                    assert resp.json()[\"total\"] == 1\n\n        with patch(\"apps.memory_config_app.get_current_user_id\", return_value=(\"u\", \"t\")):\n            with patch(\"apps.memory_config_app.build_memory_config\", return_value={\"cfg\": 1}):\n                with patch(\"apps.memory_config_app.svc_list_memory\", _err_list):\n                    resp = client.get(\n                        \"/memory/list\",\n                        params={\"memory_level\": \"user\"},\n                        headers=_auth_headers(),\n                    )\n                    assert resp.status_code == HTTPStatus.BAD_REQUEST\n\n    def test_list_memory_with_agent_id(self):\n        with patch(\"apps.memory_config_app.get_current_user_id\", return_value=(\"u\", \"t\")):\n            with patch(\"apps.memory_config_app.build_memory_config\", return_value={\"cfg\": 1}):\n                with patch(\"apps.memory_config_app.svc_list_memory\", new=AsyncMock(return_value={\"items\": [], \"total\": 0})) as m_list:\n                    resp = client.get(\n                        \"/memory/list\",\n                        params={\"memory_level\": \"user\", \"agent_id\": \"A1\"},\n                        headers=_auth_headers(),\n                    )\n                    assert resp.status_code == HTTPStatus.OK\n                    # Verify agent_id is passed through\n                    assert m_list.await_args.kwargs.get(\"agent_id\") == \"A1\"\n\n    def test_delete_memory_success_and_error(self):\n        async def _ok_delete(**kwargs):\n            return {\"deleted\": True}\n\n        async def _err_delete(**kwargs):\n            raise RuntimeError(\"delete-fail\")\n\n        with patch(\"apps.memory_config_app.get_current_user_id\", return_value=(\"u\", \"t\")):\n            with patch(\"apps.memory_config_app.build_memory_config\", return_value={\"cfg\": 1}):\n                with patch(\"apps.memory_config_app.svc_delete_memory\", _ok_delete):\n                    resp = client.delete(\n                        \"/memory/delete/ID1\", headers=_auth_headers())\n                    assert resp.status_code == HTTPStatus.OK\n                    assert resp.json()[\"deleted\"] is True\n\n        with patch(\"apps.memory_config_app.get_current_user_id\", return_value=(\"u\", \"t\")):\n            with patch(\"apps.memory_config_app.build_memory_config\", return_value={\"cfg\": 1}):\n                with patch(\"apps.memory_config_app.svc_delete_memory\", _err_delete):\n                    resp = client.delete(\n                        \"/memory/delete/ID1\", headers=_auth_headers())\n                    assert resp.status_code == HTTPStatus.BAD_REQUEST\n\n    def test_clear_memory_success_and_error(self):\n        async def _ok_clear(**kwargs):\n            return {\"cleared\": True}\n\n        async def _err_clear(**kwargs):\n            raise RuntimeError(\"clear-fail\")\n\n        with patch(\"apps.memory_config_app.get_current_user_id\", return_value=(\"u\", \"t\")):\n            with patch(\"apps.memory_config_app.build_memory_config\", return_value={\"cfg\": 1}):\n                with patch(\"apps.memory_config_app.svc_clear_memory\", _ok_clear):\n                    resp = client.delete(\n                        \"/memory/clear\",\n                        params={\"memory_level\": \"user\"},\n                        headers=_auth_headers(),\n                    )\n                    assert resp.status_code == HTTPStatus.OK\n                    assert resp.json()[\"cleared\"] is True\n\n        with patch(\"apps.memory_config_app.get_current_user_id\", return_value=(\"u\", \"t\")):\n            with patch(\"apps.memory_config_app.build_memory_config\", return_value={\"cfg\": 1}):\n                with patch(\"apps.memory_config_app.svc_clear_memory\", _err_clear):\n                    resp = client.delete(\n                        \"/memory/clear\",\n                        params={\"memory_level\": \"user\"},\n                        headers=_auth_headers(),\n                    )\n                    assert resp.status_code == HTTPStatus.BAD_REQUEST\n\n    def test_clear_memory_with_agent_id(self):\n        with patch(\"apps.memory_config_app.get_current_user_id\", return_value=(\"u\", \"t\")):\n            with patch(\"apps.memory_config_app.build_memory_config\", return_value={\"cfg\": 1}):\n                with patch(\"apps.memory_config_app.svc_clear_memory\", new=AsyncMock(return_value={\"cleared\": True})) as m_clear:\n                    resp = client.delete(\n                        \"/memory/clear\",\n                        params={\"memory_level\": \"user\", \"agent_id\": \"A1\"},\n                        headers=_auth_headers(),\n                    )\n                    assert resp.status_code == HTTPStatus.OK\n                    # Verify agent_id is passed through\n                    assert m_clear.await_args.kwargs.get(\n                        \"agent_id\") == \"A1\"\n"
  },
  {
    "path": "test/backend/app/test_mock_user_management_app.py",
    "content": "import pytest\nfrom unittest.mock import patch, MagicMock, AsyncMock\nimport sys\nimport os\n\n# Add path for correct imports\ncurrent_dir = os.path.dirname(os.path.abspath(__file__))\nsys.path.insert(0, os.path.join(current_dir, \"../../../backend\"))\n\n# Environment variables are now configured in conftest.py\n\nboto3_mock = MagicMock()\nminio_client_mock = MagicMock()\nsys.modules['boto3'] = boto3_mock\n\n# Patch storage factory and MinIO config validation to avoid errors during initialization\n# These patches must be started before any imports that use MinioClient\nstorage_client_mock = MagicMock()\npatch('nexent.storage.storage_client_factory.create_storage_client_from_config', return_value=storage_client_mock).start()\npatch('nexent.storage.minio_config.MinIOStorageConfig.validate', lambda self: None).start()\npatch('backend.database.client.MinioClient', return_value=minio_client_mock).start()\n\nfrom fastapi.testclient import TestClient\nfrom http import HTTPStatus\nfrom fastapi import FastAPI, HTTPException\n\n# Create a test client with a fresh FastAPI app\nfrom apps.mock_user_management_app import router\n\napp = FastAPI()\napp.include_router(router)\nclient = TestClient(app)\n\n\nclass TestServiceHealth:\n    \"\"\"Test service health endpoint with full coverage\"\"\"\n\n    def test_service_health_success(self):\n        \"\"\"Test normal service health check\"\"\"\n        response = client.get(\"/user/service_health\")\n\n        assert response.status_code == HTTPStatus.OK\n        data = response.json()\n        assert data[\"message\"] == \"Auth service is available\"\n\n    @patch('apps.mock_user_management_app.JSONResponse', side_effect=Exception(\"Simulated error\"))\n    def test_service_health_exception_path(self, mock_json_response):\n        \"\"\"Test service health exception handling path\"\"\"\n        response = client.get(\"/user/service_health\")\n        \n        # When JSONResponse fails, FastAPI should return 500\n        assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n        data = response.json()\n        assert \"Service health check failed\" in data[\"detail\"]\n\n\nclass TestUserSignup:\n    \"\"\"Test user signup endpoint with comprehensive coverage\"\"\"\n\n    def test_signup_regular_user(self):\n        \"\"\"Test successful regular user registration\"\"\"\n        response = client.post(\n            \"/user/signup\",\n            json={\n                \"email\": \"user@example.com\",\n                \"password\": \"password123\",\n                \"invite_code\": None\n            }\n        )\n\n        assert response.status_code == HTTPStatus.OK\n        data = response.json()\n        assert \"User account registered successfully\" in data[\"message\"]\n        assert \"Please start experiencing the AI assistant service\" in data[\"message\"]\n        assert data[\"data\"][\"user\"][\"role\"] == \"user\"\n        assert data[\"data\"][\"registration_type\"] == \"user\"\n\n    def test_signup_response_structure(self):\n        \"\"\"Test complete response structure\"\"\"\n        response = client.post(\n            \"/user/signup\",\n            json={\n                \"email\": \"test@example.com\",\n                \"password\": \"password123\",\n                \"invite_code\": None\n            }\n        )\n\n        data = response.json()\n        \n        # Verify complete structure\n        assert \"message\" in data\n        assert \"data\" in data\n        \n        user_data = data[\"data\"]\n        assert \"user\" in user_data\n        assert \"session\" in user_data\n        assert \"registration_type\" in user_data\n        \n        user = user_data[\"user\"]\n        assert \"id\" in user\n        assert \"email\" in user\n        assert \"role\" in user\n        \n        session = user_data[\"session\"]\n        assert \"access_token\" in session\n        assert \"refresh_token\" in session\n        assert \"expires_at\" in session\n        assert \"expires_in_seconds\" in session\n\n    @patch('apps.mock_user_management_app.JSONResponse', side_effect=Exception(\"Test exception\"))\n    def test_signup_exception_handling(self, mock_json_response):\n        \"\"\"Test signup exception handling\"\"\"\n        response = client.post(\n            \"/user/signup\",\n            json={\n                \"email\": \"error@example.com\",\n                \"password\": \"password123\",\n                \"invite_code\": None\n            }\n        )\n        \n        assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n        data = response.json()\n        assert \"User registration failed\" in data[\"detail\"]\n\n\nclass TestUserSignin:\n    \"\"\"Test user signin endpoint\"\"\"\n\n    def test_signin_success(self):\n        \"\"\"Test successful user login\"\"\"\n        response = client.post(\n            \"/user/signin\",\n            json={\n                \"email\": \"test@example.com\",\n                \"password\": \"password123\"\n            }\n        )\n\n        assert response.status_code == HTTPStatus.OK\n        data = response.json()\n        assert data[\"message\"] == \"Login successful, session validity is 10 years\"\n        assert data[\"data\"][\"user\"][\"email\"] == \"test@example.com\"\n        assert data[\"data\"][\"session\"][\"access_token\"] == \"mock_access_token\"\n\n    @patch('apps.mock_user_management_app.JSONResponse', side_effect=Exception(\"Signin error\"))\n    def test_signin_exception_handling(self, mock_json_response):\n        \"\"\"Test signin exception handling\"\"\"\n        response = client.post(\n            \"/user/signin\",\n            json={\n                \"email\": \"error@example.com\",\n                \"password\": \"password123\"\n            }\n        )\n        \n        assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n        data = response.json()\n        assert \"User login failed\" in data[\"detail\"]\n\n\nclass TestRefreshToken:\n    \"\"\"Test refresh token endpoint\"\"\"\n\n    def test_refresh_token_success(self):\n        \"\"\"Test successful token refresh\"\"\"\n        response = client.post(\n            \"/user/refresh_token\",\n            json={\"refresh_token\": \"old_refresh_token\"},\n            headers={\"Authorization\": \"Bearer old_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.OK\n        data = response.json()\n        assert data[\"message\"] == \"Token refresh successful\"\n        \n        session = data[\"data\"][\"session\"]\n        assert \"mock_access_token_\" in session[\"access_token\"]\n        assert \"mock_refresh_token_\" in session[\"refresh_token\"]\n        assert session[\"expires_in_seconds\"] == 315360000\n\n    @patch('apps.mock_user_management_app.datetime')\n    def test_refresh_token_with_new_timestamp(self, mock_datetime):\n        \"\"\"Test refresh token generates new timestamp\"\"\"\n        from datetime import datetime, timedelta\n        mock_now = datetime(2024, 1, 1, 12, 0, 0)\n        mock_datetime.now.return_value = mock_now\n        mock_datetime.timedelta = timedelta\n        \n        response = client.post(\n            \"/user/refresh_token\",\n            json={\"refresh_token\": \"test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.OK\n        data = response.json()\n        session = data[\"data\"][\"session\"]\n        \n        # Verify new timestamp is used in token generation\n        expected_timestamp = int((mock_now + timedelta(days=3650)).timestamp())\n        assert str(expected_timestamp) in session[\"access_token\"]\n        assert str(expected_timestamp) in session[\"refresh_token\"]\n\n    @patch('apps.mock_user_management_app.JSONResponse', side_effect=Exception(\"Time error\"))\n    def test_refresh_token_exception_handling(self, mock_json_response):\n        \"\"\"Test refresh token exception handling\"\"\"\n        response = client.post(\n            \"/user/refresh_token\",\n            json={\"refresh_token\": \"error_token\"}\n        )\n        \n        assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n        data = response.json()\n        assert \"Token refresh failed\" in data[\"detail\"]\n\n\nclass TestLogout:\n    \"\"\"Test logout endpoint\"\"\"\n\n    def test_logout_success(self):\n        \"\"\"Test successful logout\"\"\"\n        response = client.post(\n            \"/user/logout\",\n            headers={\"Authorization\": \"Bearer token\"}\n        )\n\n        assert response.status_code == HTTPStatus.OK\n        data = response.json()\n        assert data[\"message\"] == \"Logout successful\"\n\n    @patch('apps.mock_user_management_app.JSONResponse', side_effect=Exception(\"Logout error\"))\n    def test_logout_exception_handling(self, mock_json_response):\n        \"\"\"Test logout exception handling\"\"\"\n        response = client.post(\"/user/logout\")\n        \n        assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n        data = response.json()\n        assert \"User logout failed\" in data[\"detail\"]\n\n\nclass TestGetSession:\n    \"\"\"Test get session endpoint\"\"\"\n\n    def test_get_session_success(self):\n        \"\"\"Test successful session retrieval\"\"\"\n        response = client.get(\n            \"/user/session\",\n            headers={\"Authorization\": \"Bearer token\"}\n        )\n\n        assert response.status_code == HTTPStatus.OK\n        data = response.json()\n        assert data[\"message\"] == \"Session is valid\"\n        assert data[\"data\"][\"user\"][\"id\"] == \"user_id\"\n        assert data[\"data\"][\"user\"][\"email\"] == \"mock@example.com\"\n        assert data[\"data\"][\"user\"][\"role\"] == \"admin\"\n\n    @patch('apps.mock_user_management_app.JSONResponse', side_effect=Exception(\"Session error\"))\n    def test_get_session_exception_handling(self, mock_json_response):\n        \"\"\"Test session retrieval exception handling\"\"\"\n        response = client.get(\"/user/session\")\n        \n        assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n        data = response.json()\n        assert \"Session validation failed\" in data[\"detail\"]\n\n\nclass TestGetCurrentUserId:\n    \"\"\"Test get current user ID endpoint\"\"\"\n\n    def test_get_user_id_success(self):\n        \"\"\"Test successful user ID retrieval\"\"\"\n        response = client.get(\n            \"/user/current_user_id\",\n            headers={\"Authorization\": \"Bearer token\"}\n        )\n\n        assert response.status_code == HTTPStatus.OK\n        data = response.json()\n        assert data[\"message\"] == \"Get user ID successfully\"\n        assert data[\"data\"][\"user_id\"] == \"user_id\"\n\n    @patch('apps.mock_user_management_app.JSONResponse', side_effect=Exception(\"User ID error\"))\n    def test_get_user_id_exception_handling(self, mock_json_response):\n        \"\"\"Test user ID retrieval exception handling\"\"\"\n        response = client.get(\"/user/current_user_id\")\n        \n        assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n        data = response.json()\n        assert \"Failed to get user ID\" in data[\"detail\"]\n\n\nclass TestRequestValidation:\n    \"\"\"Test request validation for required fields\"\"\"\n\n    def test_signup_missing_required_fields(self):\n        \"\"\"Test signup with missing required fields\"\"\"\n        response = client.post(\n            \"/user/signup\",\n            json={\"email\": \"test@example.com\"}  # Missing password\n        )\n        assert response.status_code == HTTPStatus.UNPROCESSABLE_ENTITY\n\n    def test_signin_missing_required_fields(self):\n        \"\"\"Test signin with missing required fields\"\"\"\n        response = client.post(\n            \"/user/signin\",\n            json={\"email\": \"test@example.com\"}  # Missing password\n        )\n        assert response.status_code == HTTPStatus.UNPROCESSABLE_ENTITY\n\n    def test_signup_invalid_email_format(self):\n        \"\"\"Test signup with invalid email format\"\"\"\n        response = client.post(\n            \"/user/signup\",\n            json={\n                \"email\": \"invalid-email\",\n                \"password\": \"password123\",\n                \"invite_code\": None\n            }\n        )\n        assert response.status_code == HTTPStatus.UNPROCESSABLE_ENTITY\n\n\nclass TestIntegrationFlow:\n    \"\"\"Test complete user flow integration\"\"\"\n\n    def test_complete_user_flow(self):\n        \"\"\"Test complete user registration and authentication flow\"\"\"\n        # 1. Register user\n        signup_response = client.post(\n            \"/user/signup\",\n            json={\n                \"email\": \"flow@example.com\",\n                \"password\": \"password123\",\n                \"invite_code\": None\n            }\n        )\n        assert signup_response.status_code == HTTPStatus.OK\n        token = signup_response.json()[\"data\"][\"session\"][\"access_token\"]\n\n        # 2. Sign in user\n        signin_response = client.post(\n            \"/user/signin\",\n            json={\n                \"email\": \"flow@example.com\",\n                \"password\": \"password123\"\n            }\n        )\n        assert signin_response.status_code == HTTPStatus.OK\n\n        # 3. Get session\n        session_response = client.get(\n            \"/user/session\",\n            headers={\"Authorization\": f\"Bearer {token}\"}\n        )\n        assert session_response.status_code == HTTPStatus.OK\n\n        # 4. Get user ID\n        user_id_response = client.get(\n            \"/user/current_user_id\",\n            headers={\"Authorization\": f\"Bearer {token}\"}\n        )\n        assert user_id_response.status_code == HTTPStatus.OK\n\n        # 5. Refresh token\n        refresh_response = client.post(\n            \"/user/refresh_token\",\n            json={\"refresh_token\": \"mock_refresh_token\"},\n            headers={\"Authorization\": f\"Bearer {token}\"}\n        )\n        assert refresh_response.status_code == HTTPStatus.OK\n\n        # 6. Logout\n        logout_response = client.post(\n            \"/user/logout\",\n            headers={\"Authorization\": f\"Bearer {token}\"}\n        )\n        assert logout_response.status_code == HTTPStatus.OK\n\n\nclass TestMockDataConsistency:\n    \"\"\"Test mock data consistency and behavior\"\"\"\n\n    def test_mock_user_data_consistency(self):\n        \"\"\"Test that mock user data is consistent\"\"\"\n        # Get session multiple times\n        responses = []\n        for _ in range(3):\n            response = client.get(\"/user/session\")\n            responses.append(response.json())\n        \n        # All responses should have the same user data\n        for response in responses:\n            assert response[\"data\"][\"user\"][\"id\"] == \"user_id\"\n            assert response[\"data\"][\"user\"][\"email\"] == \"mock@example.com\"\n            assert response[\"data\"][\"user\"][\"role\"] == \"admin\"\n\n    def test_mock_session_longevity(self):\n        \"\"\"Test that mock sessions have 10-year expiration\"\"\"\n        response = client.post(\n            \"/user/refresh_token\",\n            json={\"refresh_token\": \"test_token\"}\n        )\n        \n        assert response.status_code == HTTPStatus.OK\n        data = response.json()\n        session = data[\"data\"][\"session\"]\n        \n        # Mock sessions should have 10-year expiration (315360000 seconds)\n        assert session[\"expires_in_seconds\"] == 315360000\n\n    def test_signup_email_reflection(self):\n        \"\"\"Test that signup reflects the input email\"\"\"\n        test_emails = [\"user1@test.com\", \"user2@test.com\", \"admin@test.com\"]\n        \n        for email in test_emails:\n            response = client.post(\n                \"/user/signup\",\n                json={\n                    \"email\": email,\n                    \"password\": \"password123\",\n                    \"invite_code\": None\n                }\n            )\n            \n            assert response.status_code == HTTPStatus.OK\n            data = response.json()\n            assert data[\"data\"][\"user\"][\"email\"] == email\n\n    def test_signin_email_reflection(self):\n        \"\"\"Test that signin reflects the input email\"\"\"\n        test_emails = [\"signin1@test.com\", \"signin2@test.com\"]\n        \n        for email in test_emails:\n            response = client.post(\n                \"/user/signin\",\n                json={\n                    \"email\": email,\n                    \"password\": \"password123\"\n                }\n            )\n            \n            assert response.status_code == HTTPStatus.OK\n            data = response.json()\n            assert data[\"data\"][\"user\"][\"email\"] == email\n\n\nclass TestGetCurrentUserInfo:\n    \"\"\"Test get current user info endpoint\"\"\"\n\n    @patch('apps.mock_user_management_app.get_user_info', new_callable=AsyncMock)\n    def test_get_user_info_success(self, mock_get_user_info):\n        \"\"\"Test successful user information retrieval\"\"\"\n        # Setup mock to return valid user info\n        mock_user_info = {\n            \"user\": {\n                \"user_id\": \"user_id\",\n                \"group_ids\": [1, 2, 3],\n                \"tenant_id\": \"tenant_id\",\n                \"user_email\": \"mock@example.com\",\n                \"user_role\": \"admin\",\n                \"permissions\": [\"agent:create\", \"agent:read\"],\n                \"accessibleRoutes\": [\"chat\", \"agents\"]\n            }\n        }\n        mock_get_user_info.return_value = mock_user_info\n\n        response = client.get(\n            \"/user/current_user_info\",\n            headers={\"Authorization\": \"Bearer token\"}\n        )\n\n        assert response.status_code == HTTPStatus.OK\n        data = response.json()\n        assert data[\"message\"] == \"Success\"\n        assert data[\"data\"] == mock_user_info\n        assert data[\"data\"][\"user\"][\"user_id\"] == \"user_id\"\n        assert data[\"data\"][\"user\"][\"group_ids\"] == [1, 2, 3]\n        assert data[\"data\"][\"user\"][\"tenant_id\"] == \"tenant_id\"\n        mock_get_user_info.assert_called_once_with(\"user_id\")\n\n    @patch('apps.mock_user_management_app.get_user_info', new_callable=AsyncMock)\n    def test_get_user_info_not_found(self, mock_get_user_info):\n        \"\"\"Test user information not found (returns None)\"\"\"\n        # Setup mock to return None (user not found)\n        mock_get_user_info.return_value = None\n\n        response = client.get(\n            \"/user/current_user_info\",\n            headers={\"Authorization\": \"Bearer token\"}\n        )\n\n        assert response.status_code == HTTPStatus.UNAUTHORIZED\n        data = response.json()\n        assert \"User not logged in or session invalid\" in data[\"detail\"]\n        mock_get_user_info.assert_called_once_with(\"user_id\")\n\n    @patch('apps.mock_user_management_app.get_user_info', new_callable=AsyncMock)\n    def test_get_user_info_unauthorized_error(self, mock_get_user_info):\n        \"\"\"Test UnauthorizedError exception handling\"\"\"\n        from consts.exceptions import UnauthorizedError\n        \n        # Setup mock to raise UnauthorizedError\n        mock_get_user_info.side_effect = UnauthorizedError(\"User information not found\")\n\n        response = client.get(\n            \"/user/current_user_info\",\n            headers={\"Authorization\": \"Bearer token\"}\n        )\n\n        assert response.status_code == HTTPStatus.UNAUTHORIZED\n        data = response.json()\n        assert \"User not logged in or session invalid\" in data[\"detail\"]\n        mock_get_user_info.assert_called_once_with(\"user_id\")\n\n    @patch('apps.mock_user_management_app.get_user_info', new_callable=AsyncMock)\n    def test_get_user_info_general_exception(self, mock_get_user_info):\n        \"\"\"Test general exception handling\"\"\"\n        # Setup mock to raise a general exception\n        mock_get_user_info.side_effect = Exception(\"Database connection error\")\n\n        response = client.get(\n            \"/user/current_user_info\",\n            headers={\"Authorization\": \"Bearer token\"}\n        )\n\n        assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n        data = response.json()\n        assert \"Get user information failed\" in data[\"detail\"]\n        mock_get_user_info.assert_called_once_with(\"user_id\")\n\n    @patch('apps.mock_user_management_app.get_user_info', new_callable=AsyncMock)\n    def test_get_user_info_response_structure(self, mock_get_user_info):\n        \"\"\"Test complete response structure\"\"\"\n        mock_user_info = {\n            \"user\": {\n                \"user_id\": \"user_id\",\n                \"group_ids\": [],\n                \"tenant_id\": \"tenant_id\",\n                \"user_email\": \"test@example.com\",\n                \"user_role\": \"user\",\n                \"permissions\": [],\n                \"accessibleRoutes\": []\n            }\n        }\n        mock_get_user_info.return_value = mock_user_info\n\n        response = client.get(\n            \"/user/current_user_info\",\n            headers={\"Authorization\": \"Bearer token\"}\n        )\n\n        assert response.status_code == HTTPStatus.OK\n        data = response.json()\n        \n        # Verify complete structure\n        assert \"message\" in data\n        assert \"data\" in data\n        assert data[\"message\"] == \"Success\"\n        \n        user_data = data[\"data\"][\"user\"]\n        assert \"user_id\" in user_data\n        assert \"group_ids\" in user_data\n        assert \"tenant_id\" in user_data\n        assert \"user_email\" in user_data\n        assert \"user_role\" in user_data\n        assert \"permissions\" in user_data\n        assert \"accessibleRoutes\" in user_data\n\n\nif __name__ == \"__main__\":\n    pytest.main([__file__, \"-v\", \"--cov=apps.mock_user_management_app\", \"--cov-report=term-missing\"]) "
  },
  {
    "path": "test/backend/app/test_model_managment_app.py",
    "content": "import sys\nimport os\nimport pytest\nfrom unittest.mock import patch, MagicMock, ANY\nfrom fastapi.testclient import TestClient\nfrom fastapi import FastAPI\nfrom http import HTTPStatus\n\n# Add project root to sys.path so that the top-level `backend` package is importable\nPROJECT_ROOT = os.path.join(os.path.dirname(__file__), \"../../..\")\nif PROJECT_ROOT not in sys.path:\n    sys.path.insert(0, PROJECT_ROOT)\n\n# Also add the backend source directory so that subpackages like `consts` can be imported directly\nBACKEND_ROOT = os.path.join(PROJECT_ROOT, \"backend\")\nif BACKEND_ROOT not in sys.path:\n    sys.path.insert(0, BACKEND_ROOT)\n\n# Patch environment variables before any imports that might use them\n# Environment variables are now configured in conftest.py\n\n# Patch storage factory and MinIO config validation to avoid errors during initialization\n# These patches must be started before any imports that use MinioClient\nstorage_client_mock = MagicMock()\nminio_client_mock = MagicMock()\npatch('nexent.storage.storage_client_factory.create_storage_client_from_config', return_value=storage_client_mock).start()\npatch('nexent.storage.minio_config.MinIOStorageConfig.validate', lambda self: None).start()\npatch('backend.database.client.MinioClient', return_value=minio_client_mock).start()\n\n\n@pytest.fixture(scope=\"function\")\ndef client(mocker):\n    \"\"\"Create test client with mocked dependencies.\"\"\"\n    # Mock boto3 and MinioClient before importing\n    mocker.patch('boto3.client')\n    # Patch MinioClient at both possible import paths\n    mocker.patch('backend.database.client.MinioClient')\n    # Stub services.vectordatabase_service to avoid real VDB initialization\n    import types\n    import sys as _sys\n    if \"services.vectordatabase_service\" not in _sys.modules:\n        services_vdb_mod = types.ModuleType(\"services.vectordatabase_service\")\n\n        def _get_vector_db_core():  # minimal stub\n            return object()\n\n        services_vdb_mod.get_vector_db_core = _get_vector_db_core\n        _sys.modules[\"services.vectordatabase_service\"] = services_vdb_mod\n    \n    # Import after mocking (only backend path is required by app imports)\n    from apps.model_managment_app import router\n    \n    # Create test client\n    app = FastAPI()\n    app.include_router(router)\n    return TestClient(app)\n\n\n# Test fixtures\n@pytest.fixture\ndef auth_header():\n    \"\"\"Provide test authorization header.\"\"\"\n    return {\"Authorization\": \"Bearer test_token\"}\n\n\n@pytest.fixture\ndef user_credentials():\n    \"\"\"Provide test user credentials.\"\"\"\n    return \"test_user\", \"test_tenant\"\n\n\n@pytest.fixture\ndef sample_model_data():\n    \"\"\"Provide sample model data for testing.\"\"\"\n    return {\n        \"model_name\": \"huggingface/llama\",\n        \"display_name\": \"Test Model\",\n        \"base_url\": \"http://localhost:8000\",\n        \"api_key\": \"test_key\",\n        \"model_type\": \"llm\",\n        \"provider\": \"huggingface\"\n    }\n\n\n# Tests for /model/create endpoint\n@pytest.mark.asyncio\nasync def test_create_model_success(client, auth_header, user_credentials, sample_model_data, mocker):\n    \"\"\"Test successful model creation.\"\"\"\n    mocker.patch('apps.model_managment_app.get_current_user_id', return_value=user_credentials)\n    \n    async def _create(*args, **kwargs):\n        return None\n    \n    mock_create = mocker.patch('apps.model_managment_app.create_model_for_tenant', side_effect=_create)\n    \n    response = client.post(\n        \"/model/create\", json=sample_model_data, headers=auth_header)\n    \n    assert response.status_code == HTTPStatus.OK\n    data = response.json()\n    assert \"Model created successfully\" in data.get(\"message\", \"\")\n    mock_create.assert_called_once()\n\n\n@pytest.mark.asyncio\nasync def test_create_model_conflict(client, auth_header, user_credentials, sample_model_data, mocker):\n    \"\"\"Test model creation with name conflict.\"\"\"\n    mocker.patch('apps.model_managment_app.get_current_user_id', return_value=user_credentials)\n    \n    mock_create = mocker.patch(\n        'apps.model_managment_app.create_model_for_tenant', \n        side_effect=ValueError(\"Name 'Test Model' is already in use, please choose another display name\")\n    )\n    \n    response = client.post(\n        \"/model/create\", json=sample_model_data, headers=auth_header)\n    \n    assert response.status_code == HTTPStatus.CONFLICT\n    data = response.json()\n    # Now we return the actual error message, not a generic one\n    assert \"Name 'Test Model' is already in use\" in data.get(\"detail\", \"\")\n    mock_create.assert_called_once()\n\n\n@pytest.mark.asyncio\nasync def test_create_model_exception(client, auth_header, user_credentials, sample_model_data, mocker):\n    \"\"\"Test model creation with internal error.\"\"\"\n    mocker.patch('apps.model_managment_app.get_current_user_id', return_value=user_credentials)\n    \n    mock_create = mocker.patch(\n        'apps.model_managment_app.create_model_for_tenant', \n        side_effect=Exception(\"DB failure\")\n    )\n    \n    response = client.post(\n        \"/model/create\", json=sample_model_data, headers=auth_header)\n    \n    assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n    data = response.json()\n    # Now we return the actual error message\n    assert \"DB failure\" in data.get(\"detail\", \"\")\n    mock_create.assert_called_once()\n\n\n# Tests for /model/provider/create endpoint\n@pytest.mark.asyncio\nasync def test_create_provider_model_success(client, auth_header, user_credentials, mocker):\n    \"\"\"Test successful provider model creation.\"\"\"\n    mocker.patch('apps.model_managment_app.get_current_user_id', return_value=user_credentials)\n    \n    mock_get = mocker.patch(\n        'apps.model_managment_app.create_provider_models_for_tenant', \n        return_value=[{\"id\": \"A1\"}, {\"id\": \"a0\"}, {\"id\": \"b2\"}, {\"id\": \"c3\"}]\n    )\n    \n    # Fix: Add required model_type field\n    request_data = {\"provider\": \"silicon\", \"model_type\": \"llm\", \"api_key\": \"test_key\"}\n    response = client.post(\n        \"/model/provider/create\", json=request_data, headers=auth_header)\n    \n    assert response.status_code == HTTPStatus.OK\n    data = response.json()\n    assert \"Provider model created successfully\" in data[\"message\"]\n    # Check that models are sorted by first letter in ascending order\n    assert [m[\"id\"] for m in data[\"data\"]] == [\"A1\", \"a0\", \"b2\", \"c3\"]\n    mock_get.assert_called_once()\n\n\n@pytest.mark.asyncio\nasync def test_create_provider_model_exception(client, auth_header, user_credentials, mocker):\n    \"\"\"Test provider model creation with exception.\"\"\"\n    mocker.patch('apps.model_managment_app.get_current_user_id', return_value=user_credentials)\n    \n    mock_get = mocker.patch(\n        'apps.model_managment_app.create_provider_models_for_tenant', \n        side_effect=Exception(\"Provider API error\")\n    )\n    \n    # Fix: Add required model_type field\n    request_data = {\"provider\": \"silicon\", \"model_type\": \"llm\", \"api_key\": \"test_key\"}\n    response = client.post(\n        \"/model/provider/create\", json=request_data, headers=auth_header)\n    \n    assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n    data = response.json()\n    # Now we return the actual error message\n    assert \"Provider API error\" in data.get(\"detail\", \"\")\n    mock_get.assert_called_once()\n\n\n# Tests for /model/provider/batch_create endpoint\n@pytest.mark.asyncio\nasync def test_provider_batch_create_success(client, auth_header, user_credentials, mocker):\n    \"\"\"Test successful batch model creation.\"\"\"\n    mocker.patch('apps.model_managment_app.get_current_user_id', return_value=user_credentials)\n    \n    async def _batch(*args, **kwargs):\n        return None\n    \n    mock_batch = mocker.patch('apps.model_managment_app.batch_create_models_for_tenant', side_effect=_batch)\n    \n    payload = {\n        \"models\": [{\"id\": \"prov/modelA\"}],\n        \"provider\": \"prov\",\n        \"type\": \"llm\",\n        \"api_key\": \"k\",\n    }\n    response = client.post(\n        \"/model/provider/batch_create\", json=payload, headers=auth_header)\n    \n    assert response.status_code == HTTPStatus.OK\n    data = response.json()\n    assert \"Batch create models successfully\" in data.get(\"message\", \"\")\n    mock_batch.assert_called_once()\n\n\n@pytest.mark.asyncio\nasync def test_provider_batch_create_exception(client, auth_header, user_credentials, mocker):\n    \"\"\"Test batch model creation with exception.\"\"\"\n    mocker.patch('apps.model_managment_app.get_current_user_id', return_value=user_credentials)\n    \n    mock_batch = mocker.patch(\n        'apps.model_managment_app.batch_create_models_for_tenant', \n        side_effect=Exception(\"boom\")\n    )\n    \n    payload = {\n        \"models\": [{\"id\": \"prov/modelA\"}],\n        \"provider\": \"prov\",\n        \"type\": \"llm\",\n        \"api_key\": \"k\",\n    }\n    response = client.post(\n        \"/model/provider/batch_create\", json=payload, headers=auth_header)\n    \n    assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n    data = response.json()\n    # Now we return the actual error message\n    assert \"boom\" in data.get(\"detail\", \"\")\n    mock_batch.assert_called_once()\n\n\n# Tests for /model/delete endpoint\n@pytest.mark.asyncio\nasync def test_delete_model_success(client, auth_header, user_credentials, mocker):\n    \"\"\"Test successful model deletion.\"\"\"\n    mocker.patch('apps.model_managment_app.get_current_user_id', return_value=user_credentials)\n    \n    async def _delete(*args, **kwargs):\n        return \"Test Model\"\n    \n    mock_del = mocker.patch('apps.model_managment_app.delete_model_for_tenant', side_effect=_delete)\n    \n    response = client.post(\n        \"/model/delete\", params={\"display_name\": \"Test Model\"}, headers=auth_header)\n    \n    assert response.status_code == HTTPStatus.OK\n    data = response.json()\n    assert \"Model deleted successfully\" in data.get(\"message\", \"\")\n    assert data.get(\"data\") == \"Test Model\"\n    mock_del.assert_called_once()\n\n\n@pytest.mark.asyncio\nasync def test_delete_model_not_found(client, auth_header, user_credentials, mocker):\n    \"\"\"Test model deletion when model not found.\"\"\"\n    mocker.patch('apps.model_managment_app.get_current_user_id', return_value=user_credentials)\n    \n    mock_del = mocker.patch(\n        'apps.model_managment_app.delete_model_for_tenant', \n        side_effect=LookupError(\"Model not found: Missing\")\n    )\n    \n    response = client.post(\n        \"/model/delete\", params={\"display_name\": \"Missing\"}, headers=auth_header)\n    \n    assert response.status_code == HTTPStatus.NOT_FOUND\n    data = response.json()\n    # Now we return the actual error message\n    assert \"Model not found: Missing\" in data.get(\"detail\", \"\")\n    mock_del.assert_called_once()\n\n\n# Tests for /model/list endpoint\n@pytest.mark.asyncio\nasync def test_get_model_list_success(client, auth_header, user_credentials, mocker):\n    \"\"\"Test successful model list retrieval.\"\"\"\n    mocker.patch('apps.model_managment_app.get_current_user_id', return_value=user_credentials)\n    \n    async def mock_list_models(*args, **kwargs):\n        return [\n            {\n                \"model_id\": \"model1\",\n                \"model_name\": \"huggingface/llama\",\n                \"display_name\": \"LLaMA Model\",\n                \"model_type\": \"llm\",\n                \"connect_status\": \"operational\"\n            },\n            {\n                \"model_id\": \"model2\",\n                \"model_name\": \"openai/clip\",\n                \"display_name\": \"CLIP Model\",\n                \"model_type\": \"embedding\",\n                \"connect_status\": \"not_detected\"\n            }\n        ]\n    \n    mock_list = mocker.patch('apps.model_managment_app.list_models_for_tenant', side_effect=mock_list_models)\n    \n    response = client.get(\"/model/list\", headers=auth_header)\n    \n    assert response.status_code == HTTPStatus.OK\n    data = response.json()\n    assert \"Successfully retrieved model list\" in data[\"message\"]\n    assert len(data[\"data\"]) == 2\n    assert data[\"data\"][0][\"model_name\"] == \"huggingface/llama\"\n    assert data[\"data\"][1][\"model_name\"] == \"openai/clip\"\n    assert data[\"data\"][1][\"connect_status\"] == \"not_detected\"\n    mock_list.assert_called_once_with(user_credentials[1])\n\n\n# Tests for /model/llm_list endpoint\n@pytest.mark.asyncio\nasync def test_get_llm_model_list_success(client, auth_header, user_credentials, mocker):\n    \"\"\"Test successful LLM model list retrieval.\"\"\"\n    mocker.patch('apps.model_managment_app.get_current_user_id', return_value=user_credentials)\n    \n    async def mock_list_llm_models(*args, **kwargs):\n        return [\n            {\n                \"model_id\": \"llm1\",\n                \"model_name\": \"huggingface/llama-2\",\n                \"display_name\": \"LLaMA 2 Model\",\n                \"connect_status\": \"operational\"\n            },\n            {\n                \"model_id\": \"llm2\", \n                \"model_name\": \"openai/gpt-4\",\n                \"display_name\": \"GPT-4 Model\",\n                \"connect_status\": \"not_detected\"\n            }\n        ]\n    \n    mock_list = mocker.patch('apps.model_managment_app.list_llm_models_for_tenant', side_effect=mock_list_llm_models)\n    \n    response = client.get(\"/model/llm_list\", headers=auth_header)\n    \n    assert response.status_code == HTTPStatus.OK\n    data = response.json()\n    assert \"Successfully retrieved LLM list\" in data[\"message\"]\n    assert len(data[\"data\"]) == 2\n    assert data[\"data\"][0][\"model_name\"] == \"huggingface/llama-2\"\n    assert data[\"data\"][1][\"model_name\"] == \"openai/gpt-4\"\n    assert data[\"data\"][0][\"connect_status\"] == \"operational\"\n    assert data[\"data\"][1][\"connect_status\"] == \"not_detected\"\n    mock_list.assert_called_once_with(user_credentials[1])\n\n\n@pytest.mark.asyncio\nasync def test_get_llm_model_list_exception(client, auth_header, user_credentials, mocker):\n    \"\"\"Test LLM model list retrieval with exception.\"\"\"\n    mocker.patch('apps.model_managment_app.get_current_user_id', return_value=user_credentials)\n    \n    async def mock_list_llm_models(*args, **kwargs):\n        raise Exception(\"Database connection error\")\n    \n    mocker.patch('apps.model_managment_app.list_llm_models_for_tenant', side_effect=mock_list_llm_models)\n    \n    response = client.get(\"/model/llm_list\", headers=auth_header)\n    \n    assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n    data = response.json()\n    # Now we return the actual error message\n    assert \"Database connection error\" in data.get(\"detail\", \"\")\n\n\n@pytest.mark.asyncio\nasync def test_get_llm_model_list_empty(client, auth_header, user_credentials, mocker):\n    \"\"\"Test LLM model list retrieval with empty result.\"\"\"\n    mocker.patch('apps.model_managment_app.get_current_user_id', return_value=user_credentials)\n    \n    async def mock_list_llm_models(*args, **kwargs):\n        return []\n    \n    mock_list = mocker.patch('apps.model_managment_app.list_llm_models_for_tenant', side_effect=mock_list_llm_models)\n    \n    response = client.get(\"/model/llm_list\", headers=auth_header)\n    \n    assert response.status_code == HTTPStatus.OK\n    data = response.json()\n    assert \"Successfully retrieved LLM list\" in data[\"message\"]\n    assert len(data[\"data\"]) == 0\n    mock_list.assert_called_once_with(user_credentials[1])\n\n\n# Tests for /model/healthcheck endpoint\n@pytest.mark.asyncio\nasync def test_check_model_health_success(client, auth_header, user_credentials, mocker):\n    \"\"\"Test successful model health check.\"\"\"\n    mocker.patch('apps.model_managment_app.get_current_user_id', return_value=user_credentials)\n    \n    mock_check = mocker.patch(\n        'apps.model_managment_app.check_model_connectivity', \n        return_value={\"connectivity\": True, \"connect_status\": \"available\"}\n    )\n    \n    response = client.post(\n        \"/model/healthcheck\",\n        params={\"display_name\": \"Test Model\"},\n        headers=auth_header\n    )\n    \n    assert response.status_code == HTTPStatus.OK\n    data = response.json()\n    assert data[\"message\"] == \"Successfully checked model connectivity\"\n    assert data[\"data\"][\"connectivity\"] is True\n    mock_check.assert_called_once_with(\"Test Model\", user_credentials[1])\n\n\n@pytest.mark.asyncio\nasync def test_check_model_health_lookup_error(client, auth_header, user_credentials, mocker):\n    \"\"\"Test model health check with lookup error.\"\"\"\n    mocker.patch('apps.model_managment_app.get_current_user_id', return_value=user_credentials)\n    \n    mocker.patch(\n        'apps.model_managment_app.check_model_connectivity', \n        side_effect=LookupError(\"missing\")\n    )\n    \n    response = client.post(\n        \"/model/healthcheck\",\n        params={\"display_name\": \"X\"},\n        headers=auth_header\n    )\n    assert response.status_code == HTTPStatus.NOT_FOUND\n\n\n# Tests for /model/temporary_healthcheck endpoint\n@pytest.mark.asyncio\nasync def test_verify_model_config_success(client, auth_header, sample_model_data, mocker):\n    \"\"\"Test successful model config verification.\"\"\"\n    mock_verify = mocker.patch(\n        'apps.model_managment_app.verify_model_config_connectivity', \n        return_value={\"connectivity\": True, \"model_name\": \"gpt-4\"}\n    )\n    \n    response = client.post(\n        \"/model/temporary_healthcheck\", json=sample_model_data)\n    \n    assert response.status_code == HTTPStatus.OK\n    data = response.json()\n    assert data[\"message\"] == \"Successfully verified model connectivity\"\n    assert data[\"data\"][\"connectivity\"] is True\n    # Success case should not have error field in response\n    assert \"error\" not in data[\"data\"]\n    mock_verify.assert_called_once()\n\n\n@pytest.mark.asyncio\nasync def test_verify_model_config_failure_with_error(client, auth_header, sample_model_data, mocker):\n    \"\"\"Test model config verification failure with detailed error message.\"\"\"\n    mock_verify = mocker.patch(\n        'apps.model_managment_app.verify_model_config_connectivity', \n        return_value={\n            \"connectivity\": False, \n            \"model_name\": \"gpt-4\",\n            \"error\": \"Failed to connect to model 'gpt-4' at https://api.openai.com. Please verify the URL, API key, and network connection.\"\n        }\n    )\n    \n    response = client.post(\n        \"/model/temporary_healthcheck\", json=sample_model_data)\n    \n    assert response.status_code == HTTPStatus.OK\n    data = response.json()\n    assert data[\"message\"] == \"Successfully verified model connectivity\"\n    assert data[\"data\"][\"connectivity\"] is False\n    # Failure case should have error field with descriptive message\n    assert \"error\" in data[\"data\"]\n    assert \"Failed to connect to model\" in data[\"data\"][\"error\"]\n    assert \"Please verify the URL, API key, and network connection\" in data[\"data\"][\"error\"]\n    mock_verify.assert_called_once()\n\n\n@pytest.mark.asyncio\nasync def test_verify_model_config_exception(client, auth_header, sample_model_data, mocker):\n    \"\"\"Test model config verification with exception.\"\"\"\n    mocker.patch(\n        'apps.model_managment_app.verify_model_config_connectivity', \n        side_effect=Exception(\"err\")\n    )\n    \n    response = client.post(\n        \"/model/temporary_healthcheck\", json=sample_model_data)\n    assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n\n\n# Tests for /model/update endpoint\n@pytest.mark.asyncio\nasync def test_update_single_model_success(client, auth_header, user_credentials, mocker):\n    \"\"\"Test successful single model update.\"\"\"\n    mocker.patch('apps.model_managment_app.get_current_user_id', return_value=user_credentials)\n    \n    async def mock_update_single(*args, **kwargs):\n        return None\n    \n    mock_update = mocker.patch('apps.model_managment_app.update_single_model_for_tenant', side_effect=mock_update_single)\n    \n    update_data = {\n        \"model_id\": \"test_model_id\",\n        \"model_name\": \"huggingface/llama\",\n        \"display_name\": \"Updated Test Model\",\n        \"base_url\": \"http://localhost:8001\",\n        \"api_key\": \"updated_key\",\n        \"model_type\": \"llm\",\n        \"provider\": \"huggingface\"\n    }\n    response = client.post(\n        \"/model/update\",\n        params={\"display_name\": \"Updated Test Model\"},\n        json=update_data,\n        headers=auth_header,\n    )\n    \n    assert response.status_code == HTTPStatus.OK\n    data = response.json()\n    assert \"Model updated successfully\" in data[\"message\"]\n    mock_update.assert_called_once_with(\n        user_credentials[0],\n        user_credentials[1],\n        \"Updated Test Model\",\n        update_data,\n    )\n\n\n@pytest.mark.asyncio\nasync def test_update_single_model_conflict(client, auth_header, user_credentials, mocker):\n    \"\"\"Test single model update with name conflict.\"\"\"\n    mocker.patch('apps.model_managment_app.get_current_user_id', return_value=user_credentials)\n    \n    mock_update = mocker.patch(\n        'apps.model_managment_app.update_single_model_for_tenant',\n        side_effect=ValueError(\"Name 'Conflicting Name' is already in use, please choose another display name\"),\n    )\n    \n    update_data = {\n        \"model_id\": \"test_model_id\",\n        \"model_name\": \"huggingface/llama\",\n        \"display_name\": \"Conflicting Name\",\n        \"base_url\": \"http://localhost:8001\",\n        \"api_key\": \"updated_key\",\n        \"model_type\": \"llm\",\n        \"provider\": \"huggingface\"\n    }\n    response = client.post(\n        \"/model/update\",\n        params={\"display_name\": \"Conflicting Name\"},\n        json=update_data,\n        headers=auth_header,\n    )\n    \n    assert response.status_code == HTTPStatus.CONFLICT\n    data = response.json()\n    # Now we return the actual error message\n    assert \"Name 'Conflicting Name' is already in use\" in data.get(\"detail\", \"\")\n    mock_update.assert_called_once_with(\n        user_credentials[0],\n        user_credentials[1],\n        \"Conflicting Name\",\n        update_data,\n    )\n\n\n# Tests for /model/batch_update endpoint\n@pytest.mark.asyncio\nasync def test_batch_update_models_success(client, auth_header, user_credentials, mocker):\n    \"\"\"Test successful batch model update.\"\"\"\n    mocker.patch('apps.model_managment_app.get_current_user_id', return_value=user_credentials)\n    \n    async def mock_batch_update(*args, **kwargs):\n        return None\n    \n    mock_batch_update = mocker.patch('apps.model_managment_app.batch_update_models_for_tenant', side_effect=mock_batch_update)\n    \n    models = [\n        {\"model_id\": \"id1\", \"api_key\": \"k1\", \"max_tokens\": 100},\n        {\"model_id\": \"id2\", \"api_key\": \"k2\", \"max_tokens\": 200},\n    ]\n    response = client.post(\n        \"/model/batch_update\", json=models, headers=auth_header)\n    \n    assert response.status_code == HTTPStatus.OK\n    data = response.json()\n    assert \"Batch update models successfully\" in data[\"message\"]\n    mock_batch_update.assert_called_once_with(user_credentials[0], user_credentials[1], models)\n\n\n@pytest.mark.asyncio\nasync def test_batch_update_models_exception(client, auth_header, user_credentials, mocker):\n    \"\"\"Test batch model update with exception.\"\"\"\n    mocker.patch('apps.model_managment_app.get_current_user_id', return_value=user_credentials)\n    \n    async def mock_batch_update(*args, **kwargs):\n        raise Exception(\"Update failed\")\n    \n    mock_batch_update = mocker.patch('apps.model_managment_app.batch_update_models_for_tenant', side_effect=mock_batch_update)\n    \n    models = [{\"model_id\": \"id1\", \"api_key\": \"k1\"}]\n    response = client.post(\n        \"/model/batch_update\", json=models, headers=auth_header)\n    \n    assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n    data = response.json()\n    # Now we return the actual error message\n    assert \"Update failed\" in data.get(\"detail\", \"\")\n    mock_batch_update.assert_called_once_with(user_credentials[0], user_credentials[1], models)\n\n\n# Tests for /model/manage/list endpoint\n@pytest.mark.asyncio\nasync def test_get_manage_model_list_success(client, auth_header, user_credentials, mocker):\n    \"\"\"Test successful manage model list retrieval for a specified tenant.\"\"\"\n    mocker.patch('apps.model_managment_app.get_current_user_id', return_value=user_credentials)\n\n    async def mock_list_models_for_admin(*args, **kwargs):\n        return {\n            \"tenant_id\": \"target_tenant\",\n            \"tenant_name\": \"Target Tenant\",\n            \"models\": [\n                {\n                    \"model_id\": \"model1\",\n                    \"model_name\": \"huggingface/llama\",\n                    \"display_name\": \"LLaMA Model\",\n                    \"model_type\": \"llm\",\n                    \"connect_status\": \"operational\"\n                },\n                {\n                    \"model_id\": \"model2\",\n                    \"model_name\": \"openai/clip\",\n                    \"display_name\": \"CLIP Model\",\n                    \"model_type\": \"embedding\",\n                    \"connect_status\": \"not_detected\"\n                }\n            ],\n            \"total\": 2,\n            \"page\": 1,\n            \"page_size\": 20,\n            \"total_pages\": 1\n        }\n\n    mock_list = mocker.patch('apps.model_managment_app.list_models_for_admin', side_effect=mock_list_models_for_admin)\n\n    request_data = {\n        \"tenant_id\": \"target_tenant\",\n        \"model_type\": None,\n        \"page\": 1,\n        \"page_size\": 20\n    }\n    response = client.post(\"/model/manage/list\", json=request_data, headers=auth_header)\n\n    assert response.status_code == HTTPStatus.OK\n    data = response.json()\n    assert \"Successfully retrieved model list\" in data[\"message\"]\n    assert data[\"data\"][\"tenant_id\"] == \"target_tenant\"\n    assert data[\"data\"][\"tenant_name\"] == \"Target Tenant\"\n    assert data[\"data\"][\"total\"] == 2\n    assert data[\"data\"][\"page\"] == 1\n    assert data[\"data\"][\"page_size\"] == 20\n    assert data[\"data\"][\"total_pages\"] == 1\n    assert len(data[\"data\"][\"models\"]) == 2\n    assert data[\"data\"][\"models\"][0][\"model_name\"] == \"huggingface/llama\"\n    assert data[\"data\"][\"models\"][1][\"model_name\"] == \"openai/clip\"\n    mock_list.assert_called_once_with(\"target_tenant\", None, 1, 20)\n\n\n@pytest.mark.asyncio\nasync def test_get_manage_model_list_with_pagination(client, auth_header, user_credentials, mocker):\n    \"\"\"Test manage model list retrieval with pagination parameters.\"\"\"\n    mocker.patch('apps.model_managment_app.get_current_user_id', return_value=user_credentials)\n\n    async def mock_list_models_for_admin(*args, **kwargs):\n        return {\n            \"tenant_id\": \"target_tenant\",\n            \"tenant_name\": \"Target Tenant\",\n            \"models\": [\n                {\n                    \"model_id\": \"model3\",\n                    \"model_name\": \"openai/gpt-3\",\n                    \"display_name\": \"GPT-3\",\n                    \"model_type\": \"llm\",\n                    \"connect_status\": \"operational\"\n                }\n            ],\n            \"total\": 25,\n            \"page\": 2,\n            \"page_size\": 10,\n            \"total_pages\": 3\n        }\n\n    mock_list = mocker.patch('apps.model_managment_app.list_models_for_admin', side_effect=mock_list_models_for_admin)\n\n    request_data = {\n        \"tenant_id\": \"target_tenant\",\n        \"model_type\": \"llm\",\n        \"page\": 2,\n        \"page_size\": 10\n    }\n    response = client.post(\"/model/manage/list\", json=request_data, headers=auth_header)\n\n    assert response.status_code == HTTPStatus.OK\n    data = response.json()\n    assert data[\"data\"][\"page\"] == 2\n    assert data[\"data\"][\"page_size\"] == 10\n    assert data[\"data\"][\"total\"] == 25\n    assert data[\"data\"][\"total_pages\"] == 3\n    assert len(data[\"data\"][\"models\"]) == 1\n    mock_list.assert_called_once_with(\"target_tenant\", \"llm\", 2, 10)\n\n\n@pytest.mark.asyncio\nasync def test_get_manage_model_list_exception(client, auth_header, user_credentials, mocker):\n    \"\"\"Test manage model list retrieval with exception.\"\"\"\n    mocker.patch('apps.model_managment_app.get_current_user_id', return_value=user_credentials)\n\n    async def mock_list_models_for_admin(*args, **kwargs):\n        raise Exception(\"Database connection error\")\n\n    mocker.patch('apps.model_managment_app.list_models_for_admin', side_effect=mock_list_models_for_admin)\n\n    request_data = {\n        \"tenant_id\": \"target_tenant\",\n        \"model_type\": None,\n        \"page\": 1,\n        \"page_size\": 20\n    }\n    response = client.post(\"/model/manage/list\", json=request_data, headers=auth_header)\n\n    assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n    data = response.json()\n    assert \"Database connection error\" in data.get(\"detail\", \"\")\n\n\n@pytest.mark.asyncio\nasync def test_get_manage_model_list_empty(client, auth_header, user_credentials, mocker):\n    \"\"\"Test manage model list retrieval with empty result.\"\"\"\n    mocker.patch('apps.model_managment_app.get_current_user_id', return_value=user_credentials)\n\n    async def mock_list_models_for_admin(*args, **kwargs):\n        return {\n            \"tenant_id\": \"empty_tenant\",\n            \"tenant_name\": \"Empty Tenant\",\n            \"models\": [],\n            \"total\": 0,\n            \"page\": 1,\n            \"page_size\": 20,\n            \"total_pages\": 0\n        }\n\n    mock_list = mocker.patch('apps.model_managment_app.list_models_for_admin', side_effect=mock_list_models_for_admin)\n\n    request_data = {\n        \"tenant_id\": \"empty_tenant\",\n        \"model_type\": None,\n        \"page\": 1,\n        \"page_size\": 20\n    }\n    response = client.post(\"/model/manage/list\", json=request_data, headers=auth_header)\n\n    assert response.status_code == HTTPStatus.OK\n    data = response.json()\n    assert \"Successfully retrieved model list\" in data[\"message\"]\n    assert data[\"data\"][\"total\"] == 0\n    assert len(data[\"data\"][\"models\"]) == 0\n    mock_list.assert_called_once_with(\"empty_tenant\", None, 1, 20)\n\n\n# Tests for /model/manage/create endpoint\n@pytest.mark.asyncio\nasync def test_manage_create_model_success(client, auth_header, user_credentials, mocker):\n    \"\"\"Test successful model creation for a specified tenant.\"\"\"\n    mocker.patch('apps.model_managment_app.get_current_user_id', return_value=user_credentials)\n\n    async def _create(*args, **kwargs):\n        return None\n\n    mock_create = mocker.patch('apps.model_managment_app.create_model_for_tenant', side_effect=_create)\n\n    request_data = {\n        \"tenant_id\": \"target_tenant\",\n        \"model_repo\": \"\",\n        \"model_name\": \"huggingface/llama\",\n        \"model_type\": \"llm\",\n        \"base_url\": \"http://localhost:8000\",\n        \"api_key\": \"test_key\",\n        \"max_tokens\": 4096,\n        \"display_name\": \"LLaMA Model\"\n    }\n    response = client.post(\"/model/manage/create\", json=request_data, headers=auth_header)\n\n    assert response.status_code == HTTPStatus.OK\n    data = response.json()\n    assert \"Model created successfully\" in data[\"message\"]\n    assert data[\"data\"][\"tenant_id\"] == \"target_tenant\"\n    # Verify the call was made with correct tenant_id and user_id\n    mock_create.assert_called_once_with(\n        user_credentials[0],\n        \"target_tenant\",\n        ANY  # The dict may contain additional optional fields like chunk settings\n    )\n\n\n@pytest.mark.asyncio\nasync def test_manage_create_model_conflict(client, auth_header, user_credentials, mocker):\n    \"\"\"Test model creation with conflict error.\"\"\"\n    mocker.patch('apps.model_managment_app.get_current_user_id', return_value=user_credentials)\n\n    async def _create(*args, **kwargs):\n        raise ValueError(\"Model name already exists\")\n\n    mocker.patch('apps.model_managment_app.create_model_for_tenant', side_effect=_create)\n\n    request_data = {\n        \"tenant_id\": \"target_tenant\",\n        \"model_name\": \"duplicate-model\",\n        \"model_type\": \"llm\",\n        \"base_url\": \"http://localhost:8000\",\n        \"api_key\": \"test_key\"\n    }\n    response = client.post(\"/model/manage/create\", json=request_data, headers=auth_header)\n\n    assert response.status_code == HTTPStatus.CONFLICT\n    assert \"Model name already exists\" in response.json()[\"detail\"]\n\n\n@pytest.mark.asyncio\nasync def test_manage_create_model_exception(client, auth_header, user_credentials, mocker):\n    \"\"\"Test model creation with unexpected exception.\"\"\"\n    mocker.patch('apps.model_managment_app.get_current_user_id', return_value=user_credentials)\n\n    async def _create(*args, **kwargs):\n        raise Exception(\"Database error\")\n\n    mocker.patch('apps.model_managment_app.create_model_for_tenant', side_effect=_create)\n\n    request_data = {\n        \"tenant_id\": \"target_tenant\",\n        \"model_name\": \"test-model\",\n        \"model_type\": \"llm\",\n        \"base_url\": \"http://localhost:8000\",\n        \"api_key\": \"test_key\"\n    }\n    response = client.post(\"/model/manage/create\", json=request_data, headers=auth_header)\n\n    assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n\n\n# Tests for /model/manage/update endpoint\n@pytest.mark.asyncio\nasync def test_manage_update_model_success(client, auth_header, user_credentials, mocker):\n    \"\"\"Test successful model update for a specified tenant.\"\"\"\n    mocker.patch('apps.model_managment_app.get_current_user_id', return_value=user_credentials)\n\n    async def _update(*args, **kwargs):\n        return None\n\n    mock_update = mocker.patch('apps.model_managment_app.update_single_model_for_tenant', side_effect=_update)\n\n    request_data = {\n        \"tenant_id\": \"target_tenant\",\n        \"current_display_name\": \"Old Model Name\",\n        \"display_name\": \"New Model Name\",\n        \"base_url\": \"http://localhost:8000\",\n        \"api_key\": \"new_api_key\",\n        \"max_tokens\": 8192\n    }\n    response = client.post(\"/model/manage/update\", json=request_data, headers=auth_header)\n\n    assert response.status_code == HTTPStatus.OK\n    data = response.json()\n    assert \"Model updated successfully\" in data[\"message\"]\n    assert data[\"data\"][\"tenant_id\"] == \"target_tenant\"\n    # Verify the call was made with correct tenant_id, user_id and model name\n    mock_update.assert_called_once_with(\n        user_credentials[0],\n        \"target_tenant\",\n        \"Old Model Name\",\n        ANY  # The dict may contain additional optional fields like chunk settings\n    )\n\n\n@pytest.mark.asyncio\nasync def test_manage_update_model_not_found(client, auth_header, user_credentials, mocker):\n    \"\"\"Test model update with not found error.\"\"\"\n    mocker.patch('apps.model_managment_app.get_current_user_id', return_value=user_credentials)\n\n    async def _update(*args, **kwargs):\n        raise LookupError(\"Model not found\")\n\n    mocker.patch('apps.model_managment_app.update_single_model_for_tenant', side_effect=_update)\n\n    request_data = {\n        \"tenant_id\": \"target_tenant\",\n        \"current_display_name\": \"nonexistent-model\",\n        \"display_name\": \"Updated Name\"\n    }\n    response = client.post(\"/model/manage/update\", json=request_data, headers=auth_header)\n\n    assert response.status_code == HTTPStatus.NOT_FOUND\n\n\n@pytest.mark.asyncio\nasync def test_manage_update_model_conflict(client, auth_header, user_credentials, mocker):\n    \"\"\"Test model update with conflict error.\"\"\"\n    mocker.patch('apps.model_managment_app.get_current_user_id', return_value=user_credentials)\n\n    async def _update(*args, **kwargs):\n        raise ValueError(\"Display name already exists\")\n\n    mocker.patch('apps.model_managment_app.update_single_model_for_tenant', side_effect=_update)\n\n    request_data = {\n        \"tenant_id\": \"target_tenant\",\n        \"current_display_name\": \"test-model\",\n        \"display_name\": \"duplicate-name\"\n    }\n    response = client.post(\"/model/manage/update\", json=request_data, headers=auth_header)\n\n    assert response.status_code == HTTPStatus.CONFLICT\n\n\n# Tests for /model/manage/delete endpoint\n@pytest.mark.asyncio\nasync def test_manage_delete_model_success(client, auth_header, user_credentials, mocker):\n    \"\"\"Test successful model deletion for a specified tenant.\"\"\"\n    mocker.patch('apps.model_managment_app.get_current_user_id', return_value=user_credentials)\n\n    async def _delete(*args, **kwargs):\n        return \"test-model\"\n\n    mock_delete = mocker.patch('apps.model_managment_app.delete_model_for_tenant', side_effect=_delete)\n\n    request_data = {\n        \"tenant_id\": \"target_tenant\",\n        \"display_name\": \"test-model\"\n    }\n    response = client.post(\"/model/manage/delete\", json=request_data, headers=auth_header)\n\n    assert response.status_code == HTTPStatus.OK\n    data = response.json()\n    assert \"Model deleted successfully\" in data[\"message\"]\n    assert data[\"data\"][\"tenant_id\"] == \"target_tenant\"\n    assert data[\"data\"][\"display_name\"] == \"test-model\"\n    mock_delete.assert_called_once_with(user_credentials[0], \"target_tenant\", \"test-model\")\n\n\n@pytest.mark.asyncio\nasync def test_manage_delete_model_not_found(client, auth_header, user_credentials, mocker):\n    \"\"\"Test model deletion with not found error.\"\"\"\n    mocker.patch('apps.model_managment_app.get_current_user_id', return_value=user_credentials)\n\n    async def _delete(*args, **kwargs):\n        raise LookupError(\"Model not found\")\n\n    mocker.patch('apps.model_managment_app.delete_model_for_tenant', side_effect=_delete)\n\n    request_data = {\n        \"tenant_id\": \"target_tenant\",\n        \"display_name\": \"nonexistent-model\"\n    }\n    response = client.post(\"/model/manage/delete\", json=request_data, headers=auth_header)\n\n    assert response.status_code == HTTPStatus.NOT_FOUND\n\n\n@pytest.mark.asyncio\nasync def test_manage_delete_model_exception(client, auth_header, user_credentials, mocker):\n    \"\"\"Test model deletion with unexpected exception.\"\"\"\n    mocker.patch('apps.model_managment_app.get_current_user_id', return_value=user_credentials)\n\n    async def _delete(*args, **kwargs):\n        raise Exception(\"Database error\")\n\n    mocker.patch('apps.model_managment_app.delete_model_for_tenant', side_effect=_delete)\n\n    request_data = {\n        \"tenant_id\": \"target_tenant\",\n        \"display_name\": \"test-model\"\n    }\n    response = client.post(\"/model/manage/delete\", json=request_data, headers=auth_header)\n\n    assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n\n\n# Tests for /model/manage/batch_create endpoint\n@pytest.mark.asyncio\nasync def test_manage_batch_create_models_success(client, auth_header, user_credentials, mocker):\n    \"\"\"Test successful batch model creation for a specified tenant.\"\"\"\n    mocker.patch('apps.model_managment_app.get_current_user_id', return_value=user_credentials)\n\n    async def _batch_create(*args, **kwargs):\n        return None\n\n    mock_batch_create = mocker.patch('apps.model_managment_app.batch_create_models_for_tenant', side_effect=_batch_create)\n\n    request_data = {\n        \"tenant_id\": \"target_tenant\",\n        \"provider\": \"silicon\",\n        \"type\": \"llm\",\n        \"api_key\": \"test_api_key\",\n        \"models\": [\n            {\n                \"id\": \"silicon/llama-3-1-8b-instruct\",\n                \"object\": \"model\",\n                \"created\": 1699900000,\n                \"owned_by\": \"silicon\",\n                \"max_tokens\": 4096\n            },\n            {\n                \"id\": \"silicon/llama-3-1-70b-instruct\",\n                \"object\": \"model\",\n                \"created\": 1699900001,\n                \"owned_by\": \"silicon\",\n                \"max_tokens\": 8192\n            }\n        ]\n    }\n    response = client.post(\"/model/manage/batch_create\", json=request_data, headers=auth_header)\n\n    assert response.status_code == HTTPStatus.OK\n    data = response.json()\n    assert \"Batch create models successfully\" in data[\"message\"]\n    assert data[\"data\"][\"tenant_id\"] == \"target_tenant\"\n    assert data[\"data\"][\"provider\"] == \"silicon\"\n    assert data[\"data\"][\"type\"] == \"llm\"\n    assert data[\"data\"][\"models_count\"] == 2\n    mock_batch_create.assert_called_once_with(\n        user_credentials[0],\n        \"target_tenant\",\n        {\n            \"tenant_id\": \"target_tenant\",\n            \"provider\": \"silicon\",\n            \"type\": \"llm\",\n            \"api_key\": \"test_api_key\",\n            \"models\": [\n                {\n                    \"id\": \"silicon/llama-3-1-8b-instruct\",\n                    \"object\": \"model\",\n                    \"created\": 1699900000,\n                    \"owned_by\": \"silicon\",\n                    \"max_tokens\": 4096\n                },\n                {\n                    \"id\": \"silicon/llama-3-1-70b-instruct\",\n                    \"object\": \"model\",\n                    \"created\": 1699900001,\n                    \"owned_by\": \"silicon\",\n                    \"max_tokens\": 8192\n                }\n            ]\n        }\n    )\n\n\n@pytest.mark.asyncio\nasync def test_manage_batch_create_models_empty_list(client, auth_header, user_credentials, mocker):\n    \"\"\"Test batch model creation with empty models list.\"\"\"\n    mocker.patch('apps.model_managment_app.get_current_user_id', return_value=user_credentials)\n\n    async def _batch_create(*args, **kwargs):\n        return None\n\n    mock_batch_create = mocker.patch('apps.model_managment_app.batch_create_models_for_tenant', side_effect=_batch_create)\n\n    request_data = {\n        \"tenant_id\": \"target_tenant\",\n        \"provider\": \"modelengine\",\n        \"type\": \"embedding\",\n        \"api_key\": \"\",\n        \"models\": []\n    }\n    response = client.post(\"/model/manage/batch_create\", json=request_data, headers=auth_header)\n\n    assert response.status_code == HTTPStatus.OK\n    data = response.json()\n    assert \"Batch create models successfully\" in data[\"message\"]\n    assert data[\"data\"][\"models_count\"] == 0\n    mock_batch_create.assert_called_once()\n\n\n@pytest.mark.asyncio\nasync def test_manage_batch_create_models_exception(client, auth_header, user_credentials, mocker):\n    \"\"\"Test batch model creation with exception.\"\"\"\n    mocker.patch('apps.model_managment_app.get_current_user_id', return_value=user_credentials)\n\n    async def _batch_create(*args, **kwargs):\n        raise Exception(\"Database connection error\")\n\n    mocker.patch('apps.model_managment_app.batch_create_models_for_tenant', side_effect=_batch_create)\n\n    request_data = {\n        \"tenant_id\": \"target_tenant\",\n        \"provider\": \"silicon\",\n        \"type\": \"llm\",\n        \"api_key\": \"test_api_key\",\n        \"models\": [\n            {\"id\": \"silicon/test-model\", \"max_tokens\": 4096}\n        ]\n    }\n    response = client.post(\"/model/manage/batch_create\", json=request_data, headers=auth_header)\n\n    assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n\n\n# Tests for /model/manage/healthcheck endpoint\n@pytest.mark.asyncio\nasync def test_manage_healthcheck_success(client, auth_header, user_credentials, mocker):\n    \"\"\"Test successful model connectivity check for a specified tenant.\"\"\"\n    mocker.patch('apps.model_managment_app.get_current_user_id', return_value=user_credentials)\n\n    mock_check = mocker.patch(\n        'apps.model_managment_app.check_model_connectivity',\n        return_value={\"connectivity\": True, \"connect_status\": \"available\"}\n    )\n\n    request_data = {\n        \"tenant_id\": \"target_tenant\",\n        \"display_name\": \"test-model\"\n    }\n    response = client.post(\"/model/manage/healthcheck\", json=request_data, headers=auth_header)\n\n    assert response.status_code == HTTPStatus.OK\n    data = response.json()\n    assert \"Successfully checked model connectivity\" in data[\"message\"]\n    assert data[\"data\"][\"connectivity\"] is True\n    mock_check.assert_called_once_with(\"test-model\", \"target_tenant\")\n\n\n@pytest.mark.asyncio\nasync def test_manage_healthcheck_model_not_found(client, auth_header, user_credentials, mocker):\n    \"\"\"Test model connectivity check when model is not found.\"\"\"\n    mocker.patch('apps.model_managment_app.get_current_user_id', return_value=user_credentials)\n\n    mocker.patch(\n        'apps.model_managment_app.check_model_connectivity',\n        side_effect=LookupError(\"Model configuration not found for test-model\")\n    )\n\n    request_data = {\n        \"tenant_id\": \"target_tenant\",\n        \"display_name\": \"nonexistent-model\"\n    }\n    response = client.post(\"/model/manage/healthcheck\", json=request_data, headers=auth_header)\n\n    assert response.status_code == HTTPStatus.NOT_FOUND\n    assert \"Model configuration not found\" in response.json()[\"detail\"]\n\n\n@pytest.mark.asyncio\nasync def test_manage_healthcheck_invalid_config(client, auth_header, user_credentials, mocker):\n    \"\"\"Test model connectivity check with invalid model configuration.\"\"\"\n    mocker.patch('apps.model_managment_app.get_current_user_id', return_value=user_credentials)\n\n    mocker.patch(\n        'apps.model_managment_app.check_model_connectivity',\n        side_effect=ValueError(\"Invalid model configuration\")\n    )\n\n    request_data = {\n        \"tenant_id\": \"target_tenant\",\n        \"display_name\": \"test-model\"\n    }\n    response = client.post(\"/model/manage/healthcheck\", json=request_data, headers=auth_header)\n\n    assert response.status_code == HTTPStatus.BAD_REQUEST\n    assert \"Invalid model configuration\" in response.json()[\"detail\"]\n\n\n@pytest.mark.asyncio\nasync def test_manage_healthcheck_exception(client, auth_header, user_credentials, mocker):\n    \"\"\"Test model connectivity check with unexpected exception.\"\"\"\n    mocker.patch('apps.model_managment_app.get_current_user_id', return_value=user_credentials)\n\n    mocker.patch(\n        'apps.model_managment_app.check_model_connectivity',\n        side_effect=Exception(\"Database connection error\")\n    )\n\n    request_data = {\n        \"tenant_id\": \"target_tenant\",\n        \"display_name\": \"test-model\"\n    }\n    response = client.post(\"/model/manage/healthcheck\", json=request_data, headers=auth_header)\n\n    assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n\n\n# Tests for /model/manage/provider/list endpoint\n@pytest.mark.asyncio\nasync def test_manage_provider_list_success(client, auth_header, user_credentials, mocker):\n    \"\"\"Test successful provider model list retrieval for a specified tenant.\"\"\"\n    mocker.patch('apps.model_managment_app.get_current_user_id', return_value=user_credentials)\n\n    async def mock_list_provider_models(*args, **kwargs):\n        return [\n            {\n                \"id\": \"silicon/llama-3-8b\",\n                \"model_repo\": \"silicon\",\n                \"model_name\": \"llama-3-8b\",\n                \"object\": \"model\",\n                \"created\": 1699999999,\n                \"owned_by\": \"silicon\",\n                \"max_tokens\": 8192\n            },\n            {\n                \"id\": \"silicon/llama-3-70b\",\n                \"model_repo\": \"silicon\",\n                \"model_name\": \"llama-3-70b\",\n                \"object\": \"model\",\n                \"created\": 1699999999,\n                \"owned_by\": \"silicon\",\n                \"max_tokens\": 8192\n            }\n        ]\n\n    mock_list = mocker.patch('apps.model_managment_app.list_provider_models_for_tenant', side_effect=mock_list_provider_models)\n\n    request_data = {\n        \"tenant_id\": \"target_tenant\",\n        \"provider\": \"silicon\",\n        \"model_type\": \"llm\"\n    }\n    response = client.post(\"/model/manage/provider/list\", json=request_data, headers=auth_header)\n\n    assert response.status_code == HTTPStatus.OK\n    data = response.json()\n    assert \"Successfully retrieved provider model list\" in data[\"message\"]\n    assert len(data[\"data\"]) == 2\n    mock_list.assert_called_once_with(\"target_tenant\", \"silicon\", \"llm\")\n\n\n@pytest.mark.asyncio\nasync def test_manage_provider_list_exception(client, auth_header, user_credentials, mocker):\n    \"\"\"Test provider model list retrieval with exception.\"\"\"\n    mocker.patch('apps.model_managment_app.get_current_user_id', return_value=user_credentials)\n\n    async def mock_list_provider_models(*args, **kwargs):\n        raise Exception(\"Provider API error\")\n\n    mocker.patch('apps.model_managment_app.list_provider_models_for_tenant', side_effect=mock_list_provider_models)\n\n    request_data = {\n        \"tenant_id\": \"target_tenant\",\n        \"provider\": \"silicon\",\n        \"model_type\": \"llm\"\n    }\n    response = client.post(\"/model/manage/provider/list\", json=request_data, headers=auth_header)\n\n    assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n\n\n@pytest.mark.asyncio\nasync def test_manage_provider_list_empty(client, auth_header, user_credentials, mocker):\n    \"\"\"Test provider model list retrieval with empty result.\"\"\"\n    mocker.patch('apps.model_managment_app.get_current_user_id', return_value=user_credentials)\n\n    async def mock_list_provider_models(*args, **kwargs):\n        return []\n\n    mock_list = mocker.patch('apps.model_managment_app.list_provider_models_for_tenant', side_effect=mock_list_provider_models)\n\n    request_data = {\n        \"tenant_id\": \"empty_tenant\",\n        \"provider\": \"silicon\",\n        \"model_type\": \"embedding\"\n    }\n    response = client.post(\"/model/manage/provider/list\", json=request_data, headers=auth_header)\n\n    assert response.status_code == HTTPStatus.OK\n    data = response.json()\n    assert len(data[\"data\"]) == 0\n\n\n# Tests for /model/manage/provider/create endpoint\n@pytest.mark.asyncio\nasync def test_manage_provider_create_success(client, auth_header, user_credentials, mocker):\n    \"\"\"Test successful provider model creation for a specified tenant.\"\"\"\n    mocker.patch('apps.model_managment_app.get_current_user_id', return_value=user_credentials)\n\n    async def mock_create_provider_models(*args, **kwargs):\n        return [\n            {\n                \"id\": \"silicon/llama-3-8b\",\n                \"object\": \"model\",\n                \"created\": 1699999999,\n                \"owned_by\": \"silicon\",\n                \"max_tokens\": 8192\n            },\n            {\n                \"id\": \"silicon/llama-3-70b\",\n                \"object\": \"model\",\n                \"created\": 1699999999,\n                \"owned_by\": \"silicon\",\n                \"max_tokens\": 8192\n            }\n        ]\n\n    mock_create = mocker.patch('apps.model_managment_app.create_provider_models_for_tenant', side_effect=mock_create_provider_models)\n\n    request_data = {\n        \"tenant_id\": \"target_tenant\",\n        \"provider\": \"silicon\",\n        \"model_type\": \"llm\",\n        \"api_key\": \"test_api_key\",\n        \"base_url\": \"\"\n    }\n    response = client.post(\"/model/manage/provider/create\", json=request_data, headers=auth_header)\n\n    assert response.status_code == HTTPStatus.OK\n    data = response.json()\n    assert \"Successfully created provider models\" in data[\"message\"]\n    assert len(data[\"data\"]) == 2\n    mock_create.assert_called_once_with(\n        \"target_tenant\",\n        {\"provider\": \"silicon\", \"model_type\": \"llm\", \"api_key\": \"test_api_key\", \"base_url\": \"\"}\n    )\n\n\n@pytest.mark.asyncio\nasync def test_manage_provider_create_with_base_url(client, auth_header, user_credentials, mocker):\n    \"\"\"Test provider model creation with base URL for modelengine provider.\"\"\"\n    mocker.patch('apps.model_managment_app.get_current_user_id', return_value=user_credentials)\n\n    async def mock_create_provider_models(*args, **kwargs):\n        return [\n            {\n                \"id\": \"modelengine/gpt-4\",\n                \"object\": \"model\",\n                \"created\": 1699999999,\n                \"owned_by\": \"modelengine\",\n                \"max_tokens\": 8192\n            }\n        ]\n\n    mock_create = mocker.patch('apps.model_managment_app.create_provider_models_for_tenant', side_effect=mock_create_provider_models)\n\n    request_data = {\n        \"tenant_id\": \"target_tenant\",\n        \"provider\": \"modelengine\",\n        \"model_type\": \"llm\",\n        \"api_key\": \"test_api_key\",\n        \"base_url\": \"https://api.modelengine.example.com\"\n    }\n    response = client.post(\"/model/manage/provider/create\", json=request_data, headers=auth_header)\n\n    assert response.status_code == HTTPStatus.OK\n    mock_create.assert_called_once_with(\n        \"target_tenant\",\n        {\"provider\": \"modelengine\", \"model_type\": \"llm\", \"api_key\": \"test_api_key\", \"base_url\": \"https://api.modelengine.example.com\"}\n    )\n\n\n@pytest.mark.asyncio\nasync def test_manage_provider_create_exception(client, auth_header, user_credentials, mocker):\n    \"\"\"Test provider model creation with exception.\"\"\"\n    mocker.patch('apps.model_managment_app.get_current_user_id', return_value=user_credentials)\n\n    async def mock_create_provider_models(*args, **kwargs):\n        raise Exception(\"Provider API error\")\n\n    mocker.patch('apps.model_managment_app.create_provider_models_for_tenant', side_effect=mock_create_provider_models)\n\n    request_data = {\n        \"tenant_id\": \"target_tenant\",\n        \"provider\": \"silicon\",\n        \"model_type\": \"llm\",\n        \"api_key\": \"test_api_key\",\n        \"base_url\": \"\"\n    }\n    response = client.post(\"/model/manage/provider/create\", json=request_data, headers=auth_header)\n\n    assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n\n\n@pytest.mark.asyncio\nasync def test_manage_provider_create_empty(client, auth_header, user_credentials, mocker):\n    \"\"\"Test provider model creation with empty result.\"\"\"\n    mocker.patch('apps.model_managment_app.get_current_user_id', return_value=user_credentials)\n\n    async def mock_create_provider_models(*args, **kwargs):\n        return []\n\n    mock_create = mocker.patch('apps.model_managment_app.create_provider_models_for_tenant', side_effect=mock_create_provider_models)\n\n    request_data = {\n        \"tenant_id\": \"target_tenant\",\n        \"provider\": \"silicon\",\n        \"model_type\": \"embedding\",\n        \"api_key\": \"test_api_key\",\n        \"base_url\": \"\"\n    }\n    response = client.post(\"/model/manage/provider/create\", json=request_data, headers=auth_header)\n\n    assert response.status_code == HTTPStatus.OK\n    data = response.json()\n    assert len(data[\"data\"]) == 0\n\n\nif __name__ == \"__main__\":\n    pytest.main([__file__])"
  },
  {
    "path": "test/backend/app/test_northbound_app.py",
    "content": "import os\nimport sys\nfrom unittest.mock import MagicMock, AsyncMock\nimport pytest\nfrom fastapi import FastAPI, HTTPException\nfrom fastapi.responses import StreamingResponse\nfrom fastapi.testclient import TestClient\nimport types\nimport sys as _sys\n\n# Dynamically determine the backend path\ncurrent_dir = os.path.dirname(os.path.abspath(__file__))\nbackend_dir = os.path.abspath(os.path.join(current_dir, \"../../../backend\"))\nsys.path.append(backend_dir)\n\n\n# Pre-mock heavy dependencies before importing router\nsys.modules['consts'] = MagicMock()\nsys.modules['consts.model'] = MagicMock()\n\nconsts_exceptions_mod = types.ModuleType(\"consts.exceptions\")\n\nclass LimitExceededError(Exception):\n    pass\nclass UnauthorizedError(Exception):\n    pass\nclass SignatureValidationError(Exception):\n    pass\n\nconsts_exceptions_mod.LimitExceededError = LimitExceededError\nconsts_exceptions_mod.UnauthorizedError = UnauthorizedError\nconsts_exceptions_mod.SignatureValidationError = SignatureValidationError\n\n# Ensure the parent 'consts' is a module\nif 'consts' not in _sys.modules or not isinstance(_sys.modules['consts'], types.ModuleType):\n    consts_root = types.ModuleType(\"consts\")\n    consts_root.__path__ = []\n    _sys.modules['consts'] = consts_root\nelse:\n    consts_root = _sys.modules['consts']\n\nconsts_root.exceptions = consts_exceptions_mod\n_sys.modules['consts.exceptions'] = consts_exceptions_mod\nsys.modules['services'] = MagicMock()\nsys.modules['services.northbound_service'] = MagicMock()\nsys.modules['utils'] = MagicMock()\nsys.modules['utils.auth_utils'] = MagicMock()\n\n# Import router after setting mocks\nfrom apps.northbound_app import router\n\n\napp = FastAPI()\napp.include_router(router)\nclient = TestClient(app)\n\n\ndef _build_headers(auth=\"Bearer test_jwt\", request_id=\"req-123\", aksk=True):\n    headers = {\n        \"Authorization\": auth,\n        \"X-Request-Id\": request_id,\n    }\n    if aksk:\n        headers.update({\n            \"X-Access-Key\": \"ak\",\n            \"X-Timestamp\": \"1710000000\",\n            \"X-Signature\": \"sig\",\n        })\n    return headers\n\n\n@pytest.mark.asyncio\nasync def test_health_check():\n    resp = client.get(\"/nb/v1/health\")\n    assert resp.status_code == 200\n    data = resp.json()\n    assert data[\"status\"] == \"healthy\"\n    assert data[\"service\"] == \"northbound-api\"\n\n\ndef test_run_chat_calls_service(monkeypatch):\n    # Mock Bearer token validation to return valid token\n    monkeypatch.setattr(\"apps.northbound_app.validate_bearer_token\", lambda auth: (True, {\"token_id\": \"t1\"}))\n    # Mock user/tenant lookup to return user and tenant\n    monkeypatch.setattr(\"apps.northbound_app.get_user_and_tenant_by_access_key\", lambda access_key: {\n        \"user_id\": \"u1\", \"tenant_id\": \"t1\", \"token_id\": \"t1\"\n    })\n    async def _gen():\n        yield b\"data: hello\\n\\n\"\n    start_mock = AsyncMock(return_value=StreamingResponse(_gen(), media_type=\"text/event-stream\"))\n    monkeypatch.setattr(\"apps.northbound_app.start_streaming_chat\", start_mock)\n\n    # Use integer conversation_id as the endpoint expects Optional[int]\n    payload = {\"conversation_id\": 1, \"agent_name\": \"agent-a\", \"query\": \"hi\"}\n    headers = {**_build_headers(), \"Idempotency-Key\": \"idem-1\"}\n    resp = client.post(\"/nb/v1/chat/run\", json=payload, headers=headers)\n\n    assert resp.status_code == 200\n    assert \"text/event-stream\" in resp.headers[\"content-type\"]\n    # Validate call into service\n    assert start_mock.await_count == 1\n    args, kwargs = start_mock.call_args\n    assert kwargs[\"conversation_id\"] == 1\n    assert kwargs[\"agent_name\"] == \"agent-a\"\n    assert kwargs[\"query\"] == \"hi\"\n    assert kwargs[\"idempotency_key\"] == \"idem-1\"\n\n\ndef test_stop_chat_calls_service(monkeypatch):\n    monkeypatch.setattr(\"apps.northbound_app.validate_bearer_token\", lambda auth: (True, {\"token_id\": \"t1\"}))\n    monkeypatch.setattr(\"apps.northbound_app.get_user_and_tenant_by_access_key\", lambda access_key: {\n        \"user_id\": \"u1\", \"tenant_id\": \"t1\", \"token_id\": \"t1\"\n    })\n    stop_mock = AsyncMock(return_value={\"message\": \"success\"})\n    monkeypatch.setattr(\"apps.northbound_app.stop_chat\", stop_mock)\n\n    # Use integer conversation_id in URL path\n    resp = client.get(\"/nb/v1/chat/stop/123\", headers=_build_headers())\n    assert resp.status_code == 200\n    assert stop_mock.await_count == 1\n\n\ndef test_get_history_calls_service(monkeypatch):\n    monkeypatch.setattr(\"apps.northbound_app.validate_bearer_token\", lambda auth: (True, {\"token_id\": \"t1\"}))\n    monkeypatch.setattr(\"apps.northbound_app.get_user_and_tenant_by_access_key\", lambda access_key: {\n        \"user_id\": \"u1\", \"tenant_id\": \"t1\", \"token_id\": \"t1\"\n    })\n    hist_mock = AsyncMock(return_value={\"message\": \"success\"})\n    monkeypatch.setattr(\"apps.northbound_app.get_conversation_history\", hist_mock)\n\n    # Use integer conversation_id in URL path\n    resp = client.get(\"/nb/v1/conversations/123\", headers=_build_headers())\n    assert resp.status_code == 200\n    assert hist_mock.await_count == 1\n\n\ndef test_list_agents_calls_service(monkeypatch):\n    monkeypatch.setattr(\"apps.northbound_app.validate_bearer_token\", lambda auth: (True, {\"token_id\": \"t1\"}))\n    monkeypatch.setattr(\"apps.northbound_app.get_user_and_tenant_by_access_key\", lambda access_key: {\n        \"user_id\": \"u1\", \"tenant_id\": \"t1\", \"token_id\": \"t1\"\n    })\n    agents_mock = AsyncMock(return_value={\"message\": \"success\", \"data\": []})\n    monkeypatch.setattr(\"apps.northbound_app.get_agent_info_list\", agents_mock)\n\n    resp = client.get(\"/nb/v1/agents\", headers=_build_headers())\n    assert resp.status_code == 200\n    assert agents_mock.await_count == 1\n\n\ndef test_list_conversations_calls_service(monkeypatch):\n    monkeypatch.setattr(\"apps.northbound_app.validate_bearer_token\", lambda auth: (True, {\"token_id\": \"t1\"}))\n    monkeypatch.setattr(\"apps.northbound_app.get_user_and_tenant_by_access_key\", lambda access_key: {\n        \"user_id\": \"u1\", \"tenant_id\": \"t1\", \"token_id\": \"t1\"\n    })\n    list_mock = AsyncMock(return_value={\"message\": \"success\", \"data\": []})\n    monkeypatch.setattr(\"apps.northbound_app.list_conversations\", list_mock)\n\n    resp = client.get(\"/nb/v1/conversations\", headers=_build_headers())\n    assert resp.status_code == 200\n    assert list_mock.await_count == 1\n\n\ndef test_update_title_sets_headers(monkeypatch):\n    monkeypatch.setattr(\"apps.northbound_app.validate_bearer_token\", lambda auth: (True, {\"token_id\": \"t1\"}))\n    monkeypatch.setattr(\"apps.northbound_app.get_user_and_tenant_by_access_key\", lambda access_key: {\n        \"user_id\": \"u1\", \"tenant_id\": \"t1\", \"token_id\": \"t1\"\n    })\n    # Ensure NorthboundContext yields plain string fields (avoid MagicMock in headers)\n    class _NCtx:\n        def __init__(self, request_id: str, tenant_id: str, user_id: str, authorization: str, token_id: int = 0):\n            self.request_id = request_id\n            self.tenant_id = tenant_id\n            self.user_id = user_id\n            self.authorization = authorization\n            self.token_id = token_id\n    monkeypatch.setattr(\"apps.northbound_app.NorthboundContext\", _NCtx)\n    update_mock = AsyncMock(return_value={\"message\": \"success\", \"data\": \"nb-4\", \"idempotency_key\": \"ide-xyz\"})\n    monkeypatch.setattr(\"apps.northbound_app.update_conversation_title\", update_mock)\n\n    headers = {**_build_headers(request_id=\"req-999\"), \"Idempotency-Key\": \"ide-xyz\"}\n    resp = client.put(\"/nb/v1/conversations/123/title\", params={\"title\": \"New Title\"}, headers=headers)\n    assert resp.status_code == 200\n    # Router wraps JSONResponse and should echo idempotency and request id\n    assert resp.headers.get(\"Idempotency-Key\") == \"ide-xyz\"\n    assert resp.headers.get(\"X-Request-Id\") == \"req-999\"\n    assert update_mock.await_count == 1\n\n\ndef _std_headers(auth=\"Bearer test_jwt\"):\n    return {\n        **_build_headers(auth=auth),\n        \"Idempotency-Key\": \"idem-xyz\",\n    }\n\n\n@pytest.mark.parametrize(\"exc_cls, status\", [\n    (UnauthorizedError, 401),\n    (LimitExceededError, 429),\n    (SignatureValidationError, 401),\n])\ndef test_run_chat_auth_exceptions_are_mapped(monkeypatch, exc_cls, status):\n    # Force Bearer token validation to raise domain exceptions\n    def _raise(*_, **__):\n        raise exc_cls(\"boom\")\n\n    monkeypatch.setattr(\n        \"apps.northbound_app.validate_bearer_token\", _raise)\n    # Even if provided, auth should not be parsed because token validation fails first\n    resp = client.post(\n        \"/nb/v1/chat/run\",\n        json={\"conversation_id\": 1, \"agent_name\": \"a\", \"query\": \"hi\"},\n        headers=_std_headers(),\n    )\n    assert resp.status_code == status\n\n\ndef test_run_chat_missing_authorization_header_returns_401(monkeypatch):\n    # When no Authorization header, validate_bearer_token returns (False, None)\n    monkeypatch.setattr(\"apps.northbound_app.validate_bearer_token\", lambda auth: (False, None))\n    # No Authorization header\n    headers = {k: v for k, v in _std_headers().items() if k.lower()\n               != \"authorization\"}\n    resp = client.post(\n        \"/nb/v1/chat/run\",\n        json={\"conversation_id\": 1, \"agent_name\": \"a\", \"query\": \"hi\"},\n        headers=headers,\n    )\n    assert resp.status_code == 401\n    assert \"bearer token\" in resp.json()[\"detail\"].lower()\n\n\ndef test_run_chat_jwt_parse_exception_returns_401(monkeypatch):\n    monkeypatch.setattr(\"apps.northbound_app.validate_bearer_token\", lambda auth: (True, {\"token_id\": \"t1\"}))\n\n    def _raise_user_lookup(_access_key):\n        raise Exception(\"user lookup error\")\n    monkeypatch.setattr(\"apps.northbound_app.get_user_and_tenant_by_access_key\", _raise_user_lookup)\n\n    resp = client.post(\n        \"/nb/v1/chat/run\",\n        json={\"conversation_id\": 1, \"agent_name\": \"a\", \"query\": \"hi\"},\n        headers=_std_headers(),\n    )\n    # When user lookup fails due to an invalid API key, return 401\n    assert resp.status_code == 401\n    assert \"invalid api key\" in resp.json()[\"detail\"].lower()\n\n\ndef test_run_chat_jwt_missing_user_id_returns_400(monkeypatch):\n    monkeypatch.setattr(\"apps.northbound_app.validate_bearer_token\", lambda auth: (True, {\"token_id\": \"t1\"}))\n    monkeypatch.setattr(\n        \"apps.northbound_app.get_user_and_tenant_by_access_key\", lambda access_key: {\n            \"user_id\": None, \"tenant_id\": \"t1\", \"token_id\": \"t1\"\n        })\n\n    resp = client.post(\n        \"/nb/v1/chat/run\",\n        json={\"conversation_id\": 1, \"agent_name\": \"a\", \"query\": \"hi\"},\n        headers=_std_headers(),\n    )\n    assert resp.status_code == 400\n    assert \"user\" in resp.json()[\"detail\"].lower()\n\n\ndef test_run_chat_jwt_missing_tenant_id_returns_400(monkeypatch):\n    monkeypatch.setattr(\"apps.northbound_app.validate_bearer_token\", lambda auth: (True, {\"token_id\": \"t1\"}))\n    monkeypatch.setattr(\n        \"apps.northbound_app.get_user_and_tenant_by_access_key\", lambda access_key: {\n            \"user_id\": \"u1\", \"tenant_id\": None, \"token_id\": \"t1\"\n        })\n\n    resp = client.post(\n        \"/nb/v1/chat/run\",\n        json={\"conversation_id\": 1, \"agent_name\": \"a\", \"query\": \"hi\"},\n        headers=_std_headers(),\n    )\n    assert resp.status_code == 400\n    assert \"tenant\" in resp.json()[\"detail\"].lower()\n\n\ndef test_run_chat_internal_error_when_parsing_context_returns_401(monkeypatch):\n    def _raise(*_, **__):\n        raise Exception(\"unexpected\")\n    monkeypatch.setattr(\n        \"apps.northbound_app.validate_bearer_token\", _raise)\n\n    resp = client.post(\n        \"/nb/v1/chat/run\",\n        json={\"conversation_id\": 1, \"agent_name\": \"a\", \"query\": \"hi\"},\n        headers=_std_headers(),\n    )\n    # Any exception during validation returns 401\n    assert resp.status_code == 401\n\n\ndef test_run_chat_unexpected_service_error_maps_500(monkeypatch):\n    monkeypatch.setattr(\"apps.northbound_app.validate_bearer_token\", lambda auth: (True, {\"token_id\": \"t1\"}))\n    monkeypatch.setattr(\"apps.northbound_app.get_user_and_tenant_by_access_key\", lambda access_key: {\n        \"user_id\": \"u1\", \"tenant_id\": \"t1\", \"token_id\": \"t1\"\n    })\n    start_mock = AsyncMock(side_effect=Exception(\"boom\"))\n    monkeypatch.setattr(\"apps.northbound_app.start_streaming_chat\", start_mock)\n\n    resp = client.post(\n        \"/nb/v1/chat/run\",\n        json={\"conversation_id\": 1, \"agent_name\": \"a\", \"query\": \"hi\"},\n        headers=_std_headers(),\n    )\n    assert resp.status_code == 500\n\n\n@pytest.mark.parametrize(\"path\", [\n    \"/nb/v1/chat/stop/123\",\n    \"/nb/v1/conversations/123\",\n    \"/nb/v1/agents\",\n    \"/nb/v1/conversations\",\n])\n@pytest.mark.parametrize(\"exc_cls, status\", [\n    (UnauthorizedError, 401),\n    (LimitExceededError, 429),\n    (SignatureValidationError, 401),\n])\ndef test_other_endpoints_auth_exceptions_are_mapped(monkeypatch, path, exc_cls, status):\n    def _raise(*_, **__):\n        raise exc_cls(\"boom\")\n    monkeypatch.setattr(\n        \"apps.northbound_app.validate_bearer_token\", _raise)\n\n    resp = client.get(path, headers=_build_headers())\n    assert resp.status_code == status\n\n\n@pytest.mark.parametrize(\n    \"path, target\",\n    [\n        (\"/nb/v1/chat/stop/123\", \"apps.northbound_app.stop_chat\"),\n        (\"/nb/v1/conversations/123\", \"apps.northbound_app.get_conversation_history\"),\n        (\"/nb/v1/agents\", \"apps.northbound_app.get_agent_info_list\"),\n        (\"/nb/v1/conversations\", \"apps.northbound_app.list_conversations\"),\n    ],\n)\ndef test_other_endpoints_unexpected_service_error_maps_500(monkeypatch, path, target):\n    monkeypatch.setattr(\"apps.northbound_app.validate_bearer_token\", lambda auth: (True, {\"token_id\": \"t1\"}))\n    monkeypatch.setattr(\"apps.northbound_app.get_user_and_tenant_by_access_key\", lambda access_key: {\n        \"user_id\": \"u1\", \"tenant_id\": \"t1\", \"token_id\": \"t1\"\n    })\n    monkeypatch.setattr(target, AsyncMock(side_effect=Exception(\"boom\")))\n\n    resp = client.get(path, headers=_build_headers())\n    assert resp.status_code == 500\n\n\ndef test_update_title_unexpected_service_error_maps_500(monkeypatch):\n    monkeypatch.setattr(\"apps.northbound_app.validate_bearer_token\", lambda auth: (True, {\"token_id\": \"t1\"}))\n    monkeypatch.setattr(\"apps.northbound_app.get_user_and_tenant_by_access_key\", lambda access_key: {\n        \"user_id\": \"u1\", \"tenant_id\": \"t1\", \"token_id\": \"t1\"\n    })\n    monkeypatch.setattr(\"apps.northbound_app.update_conversation_title\", AsyncMock(\n        side_effect=Exception(\"boom\")))\n\n    resp = client.put(\n        \"/nb/v1/conversations/123/title\",\n        params={\"title\": \"x\"},\n        headers=_build_headers(),\n    )\n    assert resp.status_code == 500\n\n\ndef test_run_chat_sets_headers_from_service_response(monkeypatch):\n    # Mock Bearer token and user lookup\n    monkeypatch.setattr(\"apps.northbound_app.validate_bearer_token\", lambda auth: (True, {\"token_id\": \"t1\"}))\n    monkeypatch.setattr(\"apps.northbound_app.get_user_and_tenant_by_access_key\", lambda access_key: {\n        \"user_id\": \"u1\", \"tenant_id\": \"t1\", \"token_id\": \"t1\"\n    })\n\n    # Ensure NorthboundContext yields plain string fields (avoid MagicMock in headers)\n    class _NCtx:\n        def __init__(self, request_id: str, tenant_id: str, user_id: str, authorization: str, token_id: int = 0):\n            self.request_id = request_id\n            self.tenant_id = tenant_id\n            self.user_id = user_id\n            self.authorization = authorization\n            self.token_id = token_id\n\n    monkeypatch.setattr(\"apps.northbound_app.NorthboundContext\", _NCtx)\n\n    async def _gen():\n        yield b\"data: ok\\n\\n\"\n\n    async def _start(ctx, conversation_id, agent_name, query, meta_data=None, idempotency_key=None):\n        resp = StreamingResponse(_gen(), media_type=\"text/event-stream\")\n        # Service attaches headers in latest logic; emulate here\n        resp.headers[\"X-Request-Id\"] = ctx.request_id\n        resp.headers[\"conversation_id\"] = str(conversation_id)\n        return resp\n\n    monkeypatch.setattr(\"apps.northbound_app.start_streaming_chat\", _start)\n\n    headers = {**_std_headers(), \"X-Request-Id\": \"rid-123\"}\n    resp = client.post(\n        \"/nb/v1/chat/run\",\n        json={\"conversation_id\": 1,\n              \"agent_name\": \"agent-a\", \"query\": \"hello\"},\n        headers=headers,\n    )\n\n    assert resp.status_code == 200\n    assert resp.headers.get(\"X-Request-Id\") == \"rid-123\"\n    assert resp.headers.get(\"conversation_id\") == \"1\"\n\n\ndef test_run_chat_service_error_maps_500(monkeypatch):\n    monkeypatch.setattr(\"apps.northbound_app.validate_bearer_token\", lambda auth: (True, {\"token_id\": \"t1\"}))\n    monkeypatch.setattr(\"apps.northbound_app.get_user_and_tenant_by_access_key\", lambda access_key: {\n        \"user_id\": \"u1\", \"tenant_id\": \"t1\", \"token_id\": \"t1\"\n    })\n\n    async def _raise(*args, **kwargs):\n        raise Exception(\"Failed to persist user message: boom\")\n\n    monkeypatch.setattr(\"apps.northbound_app.start_streaming_chat\", _raise)\n\n    resp = client.post(\n        \"/nb/v1/chat/run\",\n        json={\"conversation_id\": 1,\n              \"agent_name\": \"agent-a\", \"query\": \"hello\"},\n        headers=_std_headers(),\n    )\n\n    assert resp.status_code == 500\n"
  },
  {
    "path": "test/backend/app/test_northbound_base_app.py",
    "content": "import os\nimport sys\nimport types\nimport unittest\nfrom unittest.mock import MagicMock\n\n# Dynamically append backend path so that the relative imports inside the backend package resolve correctly\ncurrent_dir = os.path.dirname(os.path.abspath(__file__))\nbackend_dir = os.path.abspath(os.path.join(current_dir, '../../../backend'))\nsys.path.insert(0, backend_dir)\n\n# ---------------------------------------------------------------------------\n# PRE-MOCK HEAVY DEPENDENCIES BEFORE THE TARGET MODULE IS IMPORTED\n# ---------------------------------------------------------------------------\n# 1) Mock the sub-modules that may not exist / are heavy to import\nsys.modules['boto3'] = MagicMock()\nsys.modules['boto3.client'] = MagicMock()\nsys.modules['boto3.resource'] = MagicMock()\n\n# ---------------------------------------------------------------------------\n# Prepare stub for 'apps.northbound_app' so that northbound_base_app can import\n# ---------------------------------------------------------------------------\nfrom fastapi import APIRouter\n\nrouter_stub = APIRouter()\n\n# Add a simple endpoint to verify router inclusion later\n@router_stub.get(\"/test\")\nasync def _dummy_route():\n    return {\"msg\": \"ok\"}\n\n# Create a lightweight module object and register it as 'apps.northbound_app'.\n# We add a minimalist namespace package for 'apps' (PEP 420 style) so that imports\n# using dotted paths still resolve. We set its __path__ to include the real\n# backend/apps directory so that any further submodules (other than the stub) can\n# still be lazily imported from disk if needed.\n\napps_pkg = types.ModuleType(\"apps\")\napps_pkg.__path__ = [os.path.join(backend_dir, \"apps\")]\nsys.modules['apps'] = apps_pkg\n\nnorthbound_app_module = types.ModuleType(\"apps.northbound_app\")\nnorthbound_app_module.router = router_stub\n\nsys.modules['apps.northbound_app'] = northbound_app_module\n\n# 2) Provide dummy exception classes expected from consts.model so that they can be referenced\nconsts_module = types.ModuleType(\"consts\")\nconsts_model_module = types.ModuleType(\"consts.model\")\n\nclass LimitExceededError(Exception):\n    \"\"\"Dummy rate-limit exception for testing purposes.\"\"\"\n    pass\n\nclass UnauthorizedError(Exception):\n    \"\"\"Dummy unauthorized exception for testing purposes.\"\"\"\n    pass\n\nclass SignatureValidationError(Exception):\n    \"\"\"Dummy signature validation exception for testing purposes.\"\"\"\n    pass\n\nconsts_model_module.LimitExceededError = LimitExceededError\nconsts_model_module.UnauthorizedError = UnauthorizedError\nconsts_model_module.SignatureValidationError = SignatureValidationError\n\nconsts_module.model = consts_model_module\nsys.modules['consts'] = consts_module\nsys.modules['consts.model'] = consts_model_module\n# ---------------------------------------------------------------------------\n# Provide 'consts.exceptions' stub so that northbound_base_app import succeeds\n# ---------------------------------------------------------------------------\nconsts_exceptions_module = types.ModuleType(\"consts.exceptions\")\n\n\nclass AppException(Exception):\n    \"\"\"Dummy AppException for testing purposes.\"\"\"\n    pass\n\n\nclass LimitExceededError(Exception):\n    \"\"\"Dummy rate-limit exception for testing purposes.\"\"\"\n    pass\n\nclass UnauthorizedError(Exception):\n    \"\"\"Dummy unauthorized exception for testing purposes.\"\"\"\n    pass\n\nclass SignatureValidationError(Exception):\n    \"\"\"Dummy signature validation exception for testing purposes.\"\"\"\n    pass\n\n\nconsts_exceptions_module.AppException = AppException\nconsts_exceptions_module.LimitExceededError = LimitExceededError\nconsts_exceptions_module.UnauthorizedError = UnauthorizedError\nconsts_exceptions_module.SignatureValidationError = SignatureValidationError\n\n# Register the stub so that `from consts.exceptions import ...` works seamlessly\nsys.modules['consts.exceptions'] = consts_exceptions_module\n\n# ---------------------------------------------------------------------------\n# SAFE TO IMPORT THE TARGET MODULE UNDER TEST NOW\n# ---------------------------------------------------------------------------\nfrom apps.northbound_base_app import northbound_app as app\nfrom fastapi import HTTPException\nfrom fastapi.testclient import TestClient  # noqa: E402\n\n\nclass TestNorthboundBaseApp(unittest.TestCase):\n    \"\"\"Unit tests covering the FastAPI instance defined in northbound_base_app.py\"\"\"\n\n    def setUp(self):\n        self.client = TestClient(app)\n\n    # -------------------------------------------------------------------\n    # Basic application wiring / configuration\n    # -------------------------------------------------------------------\n    def test_app_root_path(self):\n        \"\"\"Ensure the FastAPI application is configured with the correct root path.\"\"\"\n        self.assertEqual(app.root_path, \"/api\")\n\n    def test_cors_middleware_configuration(self):\n        \"\"\"Verify that CORS middleware is present and its options match expectations.\"\"\"\n        cors_middleware = None\n        for middleware in app.user_middleware:\n            if middleware.cls.__name__ == \"CORSMiddleware\":\n                cors_middleware = middleware\n                break\n        # Middleware must be registered\n        self.assertIsNotNone(cors_middleware)\n        # Validate configured options – these must match the implementation exactly\n        self.assertEqual(cors_middleware.kwargs.get(\"allow_origins\"), [\"*\"])\n        self.assertTrue(cors_middleware.kwargs.get(\"allow_credentials\"))\n        self.assertEqual(cors_middleware.kwargs.get(\"allow_methods\"), [\"GET\", \"POST\", \"PUT\", \"DELETE\"])\n        self.assertEqual(cors_middleware.kwargs.get(\"allow_headers\"), [\"*\"])\n\n    def test_router_inclusion(self):\n        \"\"\"The northbound router should be included – expect our dummy '/test' endpoint present.\"\"\"\n        routes = [route.path for route in app.routes]\n        self.assertIn(\"/test\", routes)\n\n    # -------------------------------------------------------------------\n    # Exception handler wiring\n    # -------------------------------------------------------------------\n    def test_http_exception_handler_registration(self):\n        self.assertIn(HTTPException, app.exception_handlers)\n        self.assertTrue(callable(app.exception_handlers[HTTPException]))\n\n    def test_custom_exception_handlers_registration(self):\n        self.assertIn(Exception, app.exception_handlers)\n        self.assertTrue(callable(app.exception_handlers[Exception]))\n\n    # -------------------------------------------------------------------\n    # End-to-end sanity for health (dummy) endpoint – relies on router stub\n    # -------------------------------------------------------------------\n    def test_dummy_endpoint_success(self):\n        response = self.client.get(\"/test\")\n        self.assertEqual(response.status_code, 200)\n        self.assertEqual(response.json(), {\"msg\": \"ok\"})\n\n\nif __name__ == \"__main__\":\n    unittest.main()\n"
  },
  {
    "path": "test/backend/app/test_remote_mcp_app.py",
    "content": "from unittest.mock import patch, MagicMock, AsyncMock\nimport sys\nimport os\n\n# Add path for correct imports\nsys.path.insert(0, os.path.join(os.path.dirname(__file__), \"../../../backend\"))\nsys.modules['boto3'] = MagicMock()\n\n# Apply critical patches before importing any modules\n# This prevents real AWS/MinIO/Elasticsearch calls during import\npatch('botocore.client.BaseClient._make_api_call', return_value={}).start()\n\n# Patch storage factory and MinIO config validation to avoid errors during initialization\n# These patches must be started before any imports that use MinioClient\nstorage_client_mock = MagicMock()\nminio_mock = MagicMock()\nminio_mock._ensure_bucket_exists = MagicMock()\nminio_mock.client = MagicMock()\npatch('nexent.storage.storage_client_factory.create_storage_client_from_config',\n      return_value=storage_client_mock).start()\npatch('nexent.storage.minio_config.MinIOStorageConfig.validate',\n      lambda self: None).start()\npatch('backend.database.client.MinioClient', return_value=minio_mock).start()\npatch('database.client.MinioClient', return_value=minio_mock).start()\npatch('backend.database.client.minio_client', minio_mock).start()\npatch('elasticsearch.Elasticsearch', return_value=MagicMock()).start()\n\n# Enable upload image feature for tests\npatch('consts.const.ENABLE_UPLOAD_IMAGE', True).start()\n\n# Patch container service dependencies to avoid Docker connections\npatch('services.mcp_container_service.create_container_client_from_config').start()\npatch('services.mcp_container_service.DockerContainerConfig').start()\n\n# Import exception classes\nfrom consts.exceptions import MCPConnectionError, MCPNameIllegal, MCPContainerError\n\n# Import the modules we need\nimport pytest\nfrom fastapi.testclient import TestClient\nfrom http import HTTPStatus\n\n# Create a test client with a fresh FastAPI app\nfrom apps.remote_mcp_app import router\nfrom fastapi import FastAPI\n\n# Patch exception classes to ensure tests use correct exceptions\nimport apps.remote_mcp_app as remote_app\nremote_app.MCPConnectionError = MCPConnectionError\nremote_app.MCPNameIllegal = MCPNameIllegal\nremote_app.MCPContainerError = MCPContainerError\n\napp = FastAPI()\napp.include_router(router)\nclient = TestClient(app)\n\n\nclass MockToolInfo:\n    \"\"\"Mock ToolInfo class for testing\"\"\"\n\n    def __init__(self, name, description, params=None):\n        self.name = name\n        self.description = description\n        self.params = params or []\n\n    @property\n    def __dict__(self):\n        return {\n            \"name\": self.name,\n            \"description\": self.description,\n            \"params\": self.params\n        }\n\n\nclass TestGetToolsFromRemoteMCP:\n    \"\"\"Test endpoint for getting tools from remote MCP server\"\"\"\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.get_tool_from_remote_mcp_server')\n    def test_get_tools_success(self, mock_get_tools, mock_get_user_info):\n        \"\"\"Test successful retrieval of tool information\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n        # Mock tool information\n        mock_tools = [\n            MockToolInfo(\"tool1\", \"Tool 1 description\"),\n            MockToolInfo(\"tool2\", \"Tool 2 description\")\n        ]\n        mock_get_tools.return_value = mock_tools\n\n        response = client.post(\n            \"/mcp/tools\",\n            params={\"service_name\": \"test_service\",\n                    \"mcp_url\": \"http://test.com\"},\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.OK\n        data = response.json()\n        assert \"tools\" in data\n        assert len(data[\"tools\"]) == 2\n        assert data[\"status\"] == \"success\"\n\n        mock_get_user_info.assert_called_once()\n        mock_get_tools.assert_called_once_with(\n            mcp_server_name=\"test_service\",\n            remote_mcp_server=\"http://test.com\",\n            tenant_id=\"tenant456\"\n        )\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.get_tool_from_remote_mcp_server')\n    def test_get_tools_connection_error(self, mock_get_tools, mock_get_user_info):\n        \"\"\"Test MCP connection error when retrieving tool information\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n        mock_get_tools.side_effect = MCPConnectionError(\n            \"MCP connection failed\")\n\n        response = client.post(\n            \"/mcp/tools\",\n            params={\"service_name\": \"test_service\",\n                    \"mcp_url\": \"http://unreachable.com\"},\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.SERVICE_UNAVAILABLE\n        data = response.json()\n        assert \"MCP connection failed\" in data[\"detail\"]\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.get_tool_from_remote_mcp_server')\n    def test_get_tools_general_failure(self, mock_get_tools, mock_get_user_info):\n        \"\"\"Test general failure to retrieve tool information\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n        mock_get_tools.side_effect = Exception(\"Unexpected error\")\n\n        response = client.post(\n            \"/mcp/tools\",\n            params={\"service_name\": \"test_service\",\n                    \"mcp_url\": \"http://test.com\"},\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n        data = response.json()\n        assert \"Failed to get tools from remote MCP server\" in data[\"detail\"]\n\n\nclass TestAddRemoteProxies:\n    \"\"\"Test endpoint for adding remote MCP servers\"\"\"\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.add_remote_mcp_server_list')\n    def test_add_remote_proxy_success(self, mock_add_server, mock_get_user_info):\n        \"\"\"Test successful addition of remote MCP proxy\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n        mock_add_server.return_value = None  # No exception means success\n\n        response = client.post(\n            \"/mcp/add\",\n            params={\"mcp_url\": \"http://test.com\",\n                    \"service_name\": \"test_service\"},\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.OK\n        data = response.json()\n        assert data[\"status\"] == \"success\"\n        assert \"Successfully added remote MCP proxy\" in data[\"message\"]\n\n        mock_get_user_info.assert_called_once()\n        mock_add_server.assert_called_once_with(\n            tenant_id=\"tenant456\",\n            user_id=\"user123\",\n            remote_mcp_server=\"http://test.com\",\n            remote_mcp_server_name=\"test_service\",\n            container_id=None,\n            authorization_token=None,\n        )\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.add_remote_mcp_server_list')\n    def test_add_remote_proxy_with_tenant_id_param(self, mock_add_server, mock_get_user_info):\n        \"\"\"Test adding remote MCP proxy with explicit tenant_id parameter\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n        mock_add_server.return_value = None\n\n        response = client.post(\n            \"/mcp/add\",\n            params={\n                \"mcp_url\": \"http://test.com\",\n                \"service_name\": \"test_service\",\n                \"tenant_id\": \"explicit_tenant789\"\n            },\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.OK\n        data = response.json()\n        assert data[\"status\"] == \"success\"\n\n        # Verify that explicit tenant_id is used instead of auth tenant_id\n        mock_add_server.assert_called_once_with(\n            tenant_id=\"explicit_tenant789\",  # Should use explicit tenant_id\n            user_id=\"user123\",\n            remote_mcp_server=\"http://test.com\",\n            remote_mcp_server_name=\"test_service\",\n            container_id=None,\n            authorization_token=None,\n        )\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.add_remote_mcp_server_list')\n    def test_add_remote_proxy_name_exists(self, mock_add_server, mock_get_user_info):\n        \"\"\"Test adding MCP server with existing name\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n        mock_add_server.side_effect = MCPNameIllegal(\"MCP name already exists\")\n\n        response = client.post(\n            \"/mcp/add\",\n            params={\"mcp_url\": \"http://test.com\",\n                    \"service_name\": \"existing_service\"},\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.CONFLICT\n        data = response.json()\n        assert \"MCP name already exists\" in data[\"detail\"]\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.add_remote_mcp_server_list')\n    def test_add_remote_proxy_connection_failed(self, mock_add_server, mock_get_user_info):\n        \"\"\"Test MCP connection failure\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n        mock_add_server.side_effect = MCPConnectionError(\n            \"MCP connection failed\")\n\n        response = client.post(\n            \"/mcp/add\",\n            params={\"mcp_url\": \"http://unreachable.com\",\n                    \"service_name\": \"test_service\"},\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.SERVICE_UNAVAILABLE\n        data = response.json()\n        assert \"MCP connection failed\" in data[\"detail\"]\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.add_remote_mcp_server_list')\n    def test_add_remote_proxy_with_authorization_token(self, mock_add_server, mock_get_user_info):\n        \"\"\"Test adding remote MCP proxy with authorization token\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n        mock_add_server.return_value = None\n\n        response = client.post(\n            \"/mcp/add\",\n            params={\n                \"mcp_url\": \"http://test.com\",\n                \"service_name\": \"test_service\",\n                \"authorization_token\": \"Bearer token123\"\n            },\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.OK\n        data = response.json()\n        assert data[\"status\"] == \"success\"\n\n        # Verify that authorization_token is passed to service\n        mock_add_server.assert_called_once_with(\n            tenant_id=\"tenant456\",\n            user_id=\"user123\",\n            remote_mcp_server=\"http://test.com\",\n            remote_mcp_server_name=\"test_service\",\n            container_id=None,\n            authorization_token=\"Bearer token123\",\n        )\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.add_remote_mcp_server_list')\n    def test_add_remote_proxy_database_error(self, mock_add_server, mock_get_user_info):\n        \"\"\"Test database error - should be handled as general exception\"\"\"\n        from sqlalchemy.exc import SQLAlchemyError\n\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n        mock_add_server.side_effect = SQLAlchemyError(\"Database error\")\n\n        response = client.post(\n            \"/mcp/add\",\n            params={\"mcp_url\": \"http://test.com\",\n                    \"service_name\": \"test_service\"},\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n        data = response.json()\n        assert \"Failed to add remote MCP proxy\" in data[\"detail\"]\n\n\nclass TestDeleteRemoteProxies:\n    \"\"\"Test endpoint for deleting remote MCP servers\"\"\"\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.delete_remote_mcp_server_list')\n    def test_delete_remote_proxy_success(self, mock_delete_server, mock_get_user_info):\n        \"\"\"Test successful deletion of remote MCP proxy\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n        mock_delete_server.return_value = None  # No exception means success\n\n        response = client.delete(\n            \"/mcp/\",\n            params={\"service_name\": \"test_service\",\n                    \"mcp_url\": \"http://test.com\"},\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.OK\n        data = response.json()\n        assert data[\"status\"] == \"success\"\n        assert \"Successfully deleted remote MCP proxy\" in data[\"message\"]\n\n        mock_get_user_info.assert_called_once()\n        mock_delete_server.assert_called_once_with(\n            tenant_id=\"tenant456\",\n            user_id=\"user123\",\n            remote_mcp_server=\"http://test.com\",\n            remote_mcp_server_name=\"test_service\"\n        )\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.delete_remote_mcp_server_list')\n    def test_delete_remote_proxy_with_tenant_id_param(self, mock_delete_server, mock_get_user_info):\n        \"\"\"Test deleting remote MCP proxy with explicit tenant_id parameter\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n        mock_delete_server.return_value = None\n\n        response = client.delete(\n            \"/mcp/\",\n            params={\n                \"service_name\": \"test_service\",\n                \"mcp_url\": \"http://test.com\",\n                \"tenant_id\": \"explicit_tenant789\"\n            },\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.OK\n        # Verify that explicit tenant_id is used\n        mock_delete_server.assert_called_once_with(\n            tenant_id=\"explicit_tenant789\",\n            user_id=\"user123\",\n            remote_mcp_server=\"http://test.com\",\n            remote_mcp_server_name=\"test_service\"\n        )\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.delete_remote_mcp_server_list')\n    def test_delete_remote_proxy_database_error(self, mock_delete_server, mock_get_user_info):\n        \"\"\"Test database error during deletion - should be handled as general exception\"\"\"\n        from sqlalchemy.exc import SQLAlchemyError\n\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n        mock_delete_server.side_effect = SQLAlchemyError(\"Database error\")\n\n        response = client.delete(\n            \"/mcp/\",\n            params={\"service_name\": \"test_service\",\n                    \"mcp_url\": \"http://test.com\"},\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n        data = response.json()\n        assert \"Failed to delete remote MCP proxy\" in data[\"detail\"]\n\n\nclass TestGetRemoteProxies:\n    \"\"\"Test endpoint for getting remote MCP server list\"\"\"\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.get_remote_mcp_server_list')\n    def test_get_remote_proxies_success(self, mock_get_list, mock_get_user_info):\n        \"\"\"Test successful retrieval of remote MCP proxy list\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n        mock_server_list = [\n            {\n                \"remote_mcp_server_name\": \"server1\",\n                \"remote_mcp_server\": \"http://server1.com\",\n                \"status\": True,\n                \"permission\": \"EDIT\",\n            },\n            {\n                \"remote_mcp_server_name\": \"server2\",\n                \"remote_mcp_server\": \"http://server2.com\",\n                \"status\": False,\n                \"permission\": \"READ_ONLY\",\n            }\n        ]\n        mock_get_list.return_value = mock_server_list\n\n        response = client.get(\n            \"/mcp/list\",\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.OK\n        data = response.json()\n        assert \"remote_mcp_server_list\" in data\n        assert len(data[\"remote_mcp_server_list\"]) == 2\n        assert data[\"status\"] == \"success\"\n        assert data[\"remote_mcp_server_list\"][0][\"permission\"] == \"EDIT\"\n        assert data[\"remote_mcp_server_list\"][1][\"permission\"] == \"READ_ONLY\"\n\n        mock_get_user_info.assert_called_once()\n        mock_get_list.assert_called_once_with(tenant_id=\"tenant456\", user_id=\"user123\", is_need_auth=False)\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.get_remote_mcp_server_list')\n    def test_get_remote_proxies_with_tenant_id_param(self, mock_get_list, mock_get_user_info):\n        \"\"\"Test getting remote MCP proxy list with explicit tenant_id parameter\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n        mock_get_list.return_value = []\n\n        response = client.get(\n            \"/mcp/list\",\n            params={\"tenant_id\": \"explicit_tenant789\"},\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.OK\n        # Verify that explicit tenant_id is used and is_need_auth=False\n        mock_get_list.assert_called_once_with(tenant_id=\"explicit_tenant789\", user_id=\"user123\", is_need_auth=False)\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.get_remote_mcp_server_list')\n    def test_get_remote_proxies_error(self, mock_get_list, mock_get_user_info):\n        \"\"\"Test error when getting list\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n        mock_get_list.side_effect = Exception(\"Database connection failed\")\n\n        response = client.get(\n            \"/mcp/list\",\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n        data = response.json()\n        assert \"Failed to get remote MCP proxy\" in data[\"detail\"]\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.get_remote_mcp_server_list')\n    def test_get_remote_proxies_is_need_auth_false_excludes_token(self, mock_get_list, mock_get_user_info):\n        \"\"\"Test that get_remote_mcp_server_list is called with is_need_auth=False and excludes authorization_token\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n        # Mock return value without authorization_token (when is_need_auth=False)\n        mock_server_list = [\n            {\n                \"remote_mcp_server_name\": \"server1\",\n                \"remote_mcp_server\": \"http://server1.com\",\n                \"status\": True,\n                \"permission\": \"EDIT\",\n                \"mcp_id\": 1\n            },\n            {\n                \"remote_mcp_server_name\": \"server2\",\n                \"remote_mcp_server\": \"http://server2.com\",\n                \"status\": False,\n                \"permission\": \"READ_ONLY\",\n                \"mcp_id\": 2\n            }\n        ]\n        mock_get_list.return_value = mock_server_list\n\n        response = client.get(\n            \"/mcp/list\",\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.OK\n        data = response.json()\n        assert \"remote_mcp_server_list\" in data\n        assert len(data[\"remote_mcp_server_list\"]) == 2\n        \n        # Verify that authorization_token is not present in the response\n        assert \"authorization_token\" not in data[\"remote_mcp_server_list\"][0]\n        assert \"authorization_token\" not in data[\"remote_mcp_server_list\"][1]\n        \n        # Verify that other fields are present\n        assert data[\"remote_mcp_server_list\"][0][\"mcp_id\"] == 1\n        assert data[\"remote_mcp_server_list\"][1][\"mcp_id\"] == 2\n        \n        # Verify that get_remote_mcp_server_list was called with is_need_auth=False\n        mock_get_list.assert_called_once_with(tenant_id=\"tenant456\", user_id=\"user123\", is_need_auth=False)\n\n\nclass TestGetMCPRecord:\n    \"\"\"Test endpoint for getting single MCP record by ID\"\"\"\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.get_mcp_record_by_id')\n    def test_get_mcp_record_success(self, mock_get_record, mock_get_user_info):\n        \"\"\"Test successful retrieval of MCP record\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n        mock_record = {\n            \"mcp_name\": \"test-service\",\n            \"mcp_server\": \"http://test.com/mcp\",\n            \"authorization_token\": \"token123\"\n        }\n        mock_get_record.return_value = mock_record\n\n        response = client.get(\n            \"/mcp/record/1\",\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.OK\n        data = response.json()\n        assert data[\"status\"] == \"success\"\n        assert data[\"mcp_name\"] == \"test-service\"\n        assert data[\"mcp_server\"] == \"http://test.com/mcp\"\n        assert data[\"authorization_token\"] == \"token123\"\n\n        mock_get_user_info.assert_called_once()\n        mock_get_record.assert_called_once_with(\n            mcp_id=1,\n            tenant_id=\"tenant456\"\n        )\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.get_mcp_record_by_id')\n    def test_get_mcp_record_with_tenant_id_param(self, mock_get_record, mock_get_user_info):\n        \"\"\"Test getting MCP record with explicit tenant_id parameter\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n        mock_record = {\n            \"mcp_name\": \"test-service\",\n            \"mcp_server\": \"http://test.com/mcp\",\n            \"authorization_token\": \"token123\"\n        }\n        mock_get_record.return_value = mock_record\n\n        response = client.get(\n            \"/mcp/record/1\",\n            params={\"tenant_id\": \"explicit_tenant789\"},\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.OK\n        # Verify that explicit tenant_id is used\n        mock_get_record.assert_called_once_with(\n            mcp_id=1,\n            tenant_id=\"explicit_tenant789\"\n        )\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.get_mcp_record_by_id')\n    def test_get_mcp_record_not_found(self, mock_get_record, mock_get_user_info):\n        \"\"\"Test getting MCP record when record does not exist\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n        mock_get_record.return_value = None  # Record not found\n\n        response = client.get(\n            \"/mcp/record/999\",\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.NOT_FOUND\n        data = response.json()\n        assert \"MCP record not found\" in data[\"detail\"]\n\n        mock_get_record.assert_called_once_with(\n            mcp_id=999,\n            tenant_id=\"tenant456\"\n        )\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.get_mcp_record_by_id')\n    def test_get_mcp_record_with_none_values(self, mock_get_record, mock_get_user_info):\n        \"\"\"Test getting MCP record when some fields are None\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n        mock_record = {\n            \"mcp_name\": \"test-service\",\n            \"mcp_server\": \"http://test.com/mcp\",\n            \"authorization_token\": None  # Token can be None\n        }\n        mock_get_record.return_value = mock_record\n\n        response = client.get(\n            \"/mcp/record/1\",\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.OK\n        data = response.json()\n        assert data[\"status\"] == \"success\"\n        assert data[\"mcp_name\"] == \"test-service\"\n        assert data[\"mcp_server\"] == \"http://test.com/mcp\"\n        assert data[\"authorization_token\"] is None\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.get_mcp_record_by_id')\n    def test_get_mcp_record_exception(self, mock_get_record, mock_get_user_info):\n        \"\"\"Test getting MCP record when exception occurs\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n        mock_get_record.side_effect = Exception(\"Database error\")\n\n        response = client.get(\n            \"/mcp/record/1\",\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n        data = response.json()\n        assert \"Failed to get MCP record\" in data[\"detail\"]\n\n\nclass TestCheckMCPHealth:\n    \"\"\"Test MCP health check endpoint\"\"\"\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.check_mcp_health_and_update_db')\n    def test_check_mcp_health_success(self, mock_health_check, mock_get_user_info):\n        \"\"\"Test successful health check\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n        mock_health_check.return_value = None  # No exception means success\n\n        response = client.get(\n            \"/mcp/healthcheck\",\n            params={\"mcp_url\": \"http://test.com\",\n                    \"service_name\": \"test_service\"},\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.OK\n        data = response.json()\n        assert data[\"status\"] == \"success\"\n\n        mock_get_user_info.assert_called_once()\n        mock_health_check.assert_called_once_with(\n            \"http://test.com\", \"test_service\", \"tenant456\", \"user123\"\n        )\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.check_mcp_health_and_update_db')\n    def test_check_mcp_health_with_tenant_id_param(self, mock_health_check, mock_get_user_info):\n        \"\"\"Test health check with explicit tenant_id parameter\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n        mock_health_check.return_value = None\n\n        response = client.get(\n            \"/mcp/healthcheck\",\n            params={\n                \"mcp_url\": \"http://test.com\",\n                \"service_name\": \"test_service\",\n                \"tenant_id\": \"explicit_tenant789\"\n            },\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.OK\n        # Verify that explicit tenant_id is used\n        mock_health_check.assert_called_once_with(\n            \"http://test.com\", \"test_service\", \"explicit_tenant789\", \"user123\"\n        )\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.check_mcp_health_and_update_db')\n    def test_check_mcp_health_connection_error(self, mock_health_check, mock_get_user_info):\n        \"\"\"Test MCP connection error during health check\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n        mock_health_check.side_effect = MCPConnectionError(\n            \"MCP connection failed\")\n\n        response = client.get(\n            \"/mcp/healthcheck\",\n            params={\"mcp_url\": \"http://unreachable.com\",\n                    \"service_name\": \"test_service\"},\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.SERVICE_UNAVAILABLE\n        data = response.json()\n        assert \"MCP connection failed\" in data[\"detail\"]\n\n        mock_get_user_info.assert_called_once()\n        mock_health_check.assert_called_once_with(\n            \"http://unreachable.com\", \"test_service\", \"tenant456\", \"user123\"\n        )\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.check_mcp_health_and_update_db')\n    def test_check_mcp_health_database_error(self, mock_health_check, mock_get_user_info):\n        \"\"\"Test database error during health check - should be handled as general exception\"\"\"\n        from sqlalchemy.exc import SQLAlchemyError\n\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n        mock_health_check.side_effect = SQLAlchemyError(\"Database error\")\n\n        response = client.get(\n            \"/mcp/healthcheck\",\n            params={\"mcp_url\": \"http://test.com\",\n                    \"service_name\": \"test_service\"},\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n        data = response.json()\n        assert \"Failed to check the health of the MCP server\" in data[\"detail\"]\n\n\nclass TestIntegration:\n    \"\"\"Integration tests\"\"\"\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.add_remote_mcp_server_list')\n    @patch('apps.remote_mcp_app.get_remote_mcp_server_list')\n    @patch('apps.remote_mcp_app.delete_remote_mcp_server_list')\n    def test_full_lifecycle(self, mock_delete, mock_get_list, mock_add, mock_get_user_info):\n        \"\"\"Test complete MCP server lifecycle\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n\n        # 1. Add server\n        mock_add.return_value = None\n        add_response = client.post(\n            \"/mcp/add\",\n            params={\"mcp_url\": \"http://test.com\",\n                    \"service_name\": \"test_service\"},\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n        assert add_response.status_code == HTTPStatus.OK\n\n        # 2. Get server list\n        mock_get_list.return_value = [\n            {\"remote_mcp_server_name\": \"test_service\",\n             \"remote_mcp_server\": \"http://test.com\",\n             \"status\": True,\n             \"permission\": \"EDIT\"}\n        ]\n        list_response = client.get(\n            \"/mcp/list\",\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n        assert list_response.status_code == HTTPStatus.OK\n        data = list_response.json()\n        assert len(data[\"remote_mcp_server_list\"]) == 1\n        assert data[\"remote_mcp_server_list\"][0][\"permission\"] == \"EDIT\"\n\n        # 3. Delete server\n        mock_delete.return_value = None\n        delete_response = client.delete(\n            \"/mcp/\",\n            params={\"service_name\": \"test_service\",\n                    \"mcp_url\": \"http://test.com\"},\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n        assert delete_response.status_code == HTTPStatus.OK\n\n\nclass TestErrorHandling:\n    \"\"\"Error handling tests\"\"\"\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.get_remote_mcp_server_list')\n    def test_authorization_header_handling(self, mock_get_list, mock_get_user_info):\n        \"\"\"Test authorization header handling\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n        mock_get_list.return_value = []  # Mock empty list\n\n        # Test case without Authorization header\n        response = client.get(\"/mcp/list\")\n        # Should return OK with empty list\n        assert response.status_code == HTTPStatus.OK\n        data = response.json()\n        assert data[\"status\"] == \"success\"\n        assert \"remote_mcp_server_list\" in data\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.add_remote_mcp_server_list')\n    def test_unexpected_error_handling(self, mock_add_server, mock_get_user_info):\n        \"\"\"Test unexpected error handling\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n        mock_add_server.side_effect = Exception(\"Unexpected error\")\n\n        response = client.post(\n            \"/mcp/add\",\n            params={\"mcp_url\": \"http://test.com\",\n                    \"service_name\": \"test_service\"},\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n        data = response.json()\n        assert \"Failed to add remote MCP proxy\" in data[\"detail\"]\n\n\nclass TestDataValidation:\n    \"\"\"Data validation tests\"\"\"\n\n    def test_missing_parameters(self):\n        \"\"\"Test missing required parameters\"\"\"\n        # Test missing parameters\n        response = client.post(\"/mcp/add\")\n        assert response.status_code == HTTPStatus.UNPROCESSABLE_ENTITY\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.add_remote_mcp_server_list')\n    def test_invalid_url_format(self, mock_add_server, mock_get_user_info):\n        \"\"\"Test invalid URL format with valid authentication\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n        mock_add_server.side_effect = MCPConnectionError(\"Invalid URL format\")\n\n        response = client.post(\n            \"/mcp/add\",\n            params={\"mcp_url\": \"invalid-url\",\n                    \"service_name\": \"test_service_invalid\"},\n            headers={\"Authorization\": \"Bearer valid_token\"}\n        )\n        assert response.status_code == HTTPStatus.SERVICE_UNAVAILABLE\n\n\n# ---------------------------------------------------------------------------\n# Test add_mcp_from_config\n# ---------------------------------------------------------------------------\n\n\nclass TestAddMCPFromConfig:\n    \"\"\"Test endpoint for adding MCP servers from configuration\"\"\"\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.MCPContainerManager')\n    @patch('apps.remote_mcp_app.add_remote_mcp_server_list')\n    @patch('apps.remote_mcp_app.check_mcp_name_exists', return_value=False)\n    def test_add_mcp_from_config_success(self, mock_check_name, mock_add_server, mock_container_manager_class, mock_get_user_info):\n        \"\"\"Test successful addition of MCP server from config\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n\n        # Mock container manager\n        mock_container_manager = MagicMock()\n        mock_container_manager_class.return_value = mock_container_manager\n        mock_container_manager.start_mcp_container = AsyncMock(return_value={\n            \"container_id\": \"container-123\",\n            \"mcp_url\": \"http://localhost:5020/mcp\",\n            \"host_port\": \"5020\",\n            \"status\": \"started\",\n            \"container_name\": \"test-service-user1234\"\n        })\n\n        mock_add_server.return_value = None\n\n        response = client.post(\n            \"/mcp/add-from-config\",\n            json={\n                \"mcpServers\": {\n                    \"test-service\": {\n                        \"command\": \"npx\",\n                        \"args\": [\"-y\", \"test-mcp\"],\n                        \"env\": {\"NODE_ENV\": \"production\"},\n                        \"port\": 5020\n                    }\n                }\n            },\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.OK\n        data = response.json()\n        assert data[\"status\"] == \"success\"\n        assert len(data[\"results\"]) == 1\n        assert data[\"results\"][0][\"service_name\"] == \"test-service\"\n        assert data[\"results\"][0][\"status\"] == \"success\"\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.MCPContainerManager')\n    @patch('apps.remote_mcp_app.add_remote_mcp_server_list')\n    @patch('apps.remote_mcp_app.check_mcp_name_exists', return_value=False)\n    def test_add_mcp_from_config_with_tenant_id_param(self, mock_check_name, mock_add_server, mock_container_manager_class, mock_get_user_info):\n        \"\"\"Test adding MCP server from config with explicit tenant_id parameter\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n\n        # Mock container manager\n        mock_container_manager = MagicMock()\n        mock_container_manager_class.return_value = mock_container_manager\n        mock_container_manager.start_mcp_container = AsyncMock(return_value={\n            \"container_id\": \"container-123\",\n            \"mcp_url\": \"http://localhost:5020/mcp\",\n            \"host_port\": \"5020\",\n            \"status\": \"started\",\n            \"container_name\": \"test-service-user1234\"\n        })\n\n        mock_add_server.return_value = None\n\n        response = client.post(\n            \"/mcp/add-from-config\",\n            params={\"tenant_id\": \"explicit_tenant789\"},\n            json={\n                \"mcpServers\": {\n                    \"test-service\": {\n                        \"command\": \"npx\",\n                        \"args\": [\"-y\", \"test-mcp\"],\n                        \"env\": {\"NODE_ENV\": \"production\"},\n                        \"port\": 5020\n                    }\n                }\n            },\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.OK\n        data = response.json()\n        assert data[\"status\"] == \"success\"\n        # Verify that explicit tenant_id is used\n        mock_check_name.assert_called_once_with(mcp_name=\"test-service\", tenant_id=\"explicit_tenant789\")\n        mock_container_manager.start_mcp_container.assert_called_once()\n        call_kwargs = mock_container_manager.start_mcp_container.call_args[1]\n        assert call_kwargs[\"tenant_id\"] == \"explicit_tenant789\"\n        mock_add_server.assert_called_once()\n        add_call_kwargs = mock_add_server.call_args[1]\n        assert add_call_kwargs[\"tenant_id\"] == \"explicit_tenant789\"\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.MCPContainerManager')\n    @patch('apps.remote_mcp_app.add_remote_mcp_server_list')\n    @patch('apps.remote_mcp_app.check_mcp_name_exists', return_value=False)\n    def test_add_mcp_from_config_multiple_servers(self, mock_check_name, mock_add_server, mock_container_manager_class, mock_get_user_info):\n        \"\"\"Test adding multiple MCP servers from config\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n\n        mock_container_manager = MagicMock()\n        mock_container_manager_class.return_value = mock_container_manager\n        mock_container_manager.start_mcp_container = AsyncMock(side_effect=[\n            {\n                \"container_id\": \"container-1\",\n                \"mcp_url\": \"http://localhost:5020/mcp\",\n                \"host_port\": \"5020\",\n                \"status\": \"started\",\n                \"container_name\": \"service1-user1234\"\n            },\n            {\n                \"container_id\": \"container-2\",\n                \"mcp_url\": \"http://localhost:5021/mcp\",\n                \"host_port\": \"5021\",\n                \"status\": \"started\",\n                \"container_name\": \"service2-user1234\"\n            }\n        ])\n\n        mock_add_server.return_value = None\n\n        response = client.post(\n            \"/mcp/add-from-config\",\n            json={\n                \"mcpServers\": {\n                    \"service1\": {\n                        \"command\": \"npx\",\n                        \"args\": [\"-y\", \"service1\"],\n                        \"port\": 5020\n                    },\n                    \"service2\": {\n                        \"command\": \"npx\",\n                        \"args\": [\"-y\", \"service2\"],\n                        \"port\": 5021\n                    }\n                }\n            },\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.OK\n        data = response.json()\n        assert data[\"status\"] == \"success\"\n        assert len(data[\"results\"]) == 2\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.MCPContainerManager')\n    @patch('apps.remote_mcp_app.check_mcp_name_exists', return_value=False)\n    def test_add_mcp_from_config_missing_command(self, mock_check_name, mock_container_manager_class, mock_get_user_info):\n        \"\"\"Test adding MCP server with missing command\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n\n        mock_container_manager = MagicMock()\n        mock_container_manager_class.return_value = mock_container_manager\n\n        response = client.post(\n            \"/mcp/add-from-config\",\n            json={\n                \"mcpServers\": {\n                    \"test-service\": {\n                        \"args\": [\"-y\", \"test-mcp\"],\n                        \"port\": 5020\n                    }\n                }\n            },\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.UNPROCESSABLE_ENTITY\n        data = response.json()\n        assert \"command\" in str(data[\"detail\"]).lower()\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.MCPContainerManager')\n    @patch('apps.remote_mcp_app.check_mcp_name_exists', return_value=False)\n    def test_add_mcp_from_config_empty_command(self, mock_check_name, mock_container_manager_class, mock_get_user_info):\n        \"\"\"Test adding MCP server with empty command string (covers line 189-191)\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n\n        mock_container_manager = MagicMock()\n        mock_container_manager_class.return_value = mock_container_manager\n\n        response = client.post(\n            \"/mcp/add-from-config\",\n            json={\n                \"mcpServers\": {\n                    \"test-service\": {\n                        \"command\": \"\",\n                        \"args\": [\"-y\", \"test-mcp\"],\n                        \"port\": 5020\n                    }\n                }\n            },\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.BAD_REQUEST\n        data = response.json()\n        assert \"All MCP servers failed\" in data[\"detail\"]\n        assert \"command is required\" in data[\"detail\"]\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.MCPContainerManager')\n    @patch('apps.remote_mcp_app.check_mcp_name_exists', return_value=False)\n    def test_add_mcp_from_config_missing_port(self, mock_check_name, mock_container_manager_class, mock_get_user_info):\n        \"\"\"Test adding MCP server with missing port\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n\n        mock_container_manager = MagicMock()\n        mock_container_manager_class.return_value = mock_container_manager\n\n        response = client.post(\n            \"/mcp/add-from-config\",\n            json={\n                \"mcpServers\": {\n                    \"test-service\": {\n                        \"command\": \"npx\",\n                        \"args\": [\"-y\", \"test-mcp\"]\n                    }\n                }\n            },\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.BAD_REQUEST\n        data = response.json()\n        assert \"port is required\" in data[\"detail\"]\n\n    @patch('apps.remote_mcp_app.check_mcp_name_exists')\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.MCPContainerManager')\n    @patch('apps.remote_mcp_app.add_remote_mcp_server_list')\n    def test_add_mcp_from_config_name_exists(self, mock_add_server, mock_container_manager_class, mock_get_user_info, mock_check_name):\n        \"\"\"Test adding MCP server when name already exists\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n        mock_check_name.return_value = True  # Name already exists\n\n        mock_container_manager = MagicMock()\n        mock_container_manager_class.return_value = mock_container_manager\n\n        response = client.post(\n            \"/mcp/add-from-config\",\n            json={\n                \"mcpServers\": {\n                    \"test-service\": {\n                        \"command\": \"npx\",\n                        \"args\": [\"-y\", \"test-mcp\"],\n                        \"port\": 5020\n                    }\n                }\n            },\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.BAD_REQUEST\n        data = response.json()\n        assert \"All MCP servers failed\" in data[\"detail\"]\n        assert \"MCP name already exists\" in data[\"detail\"]\n        # Container should not be started when name already exists\n        mock_container_manager.start_mcp_container.assert_not_called()\n\n    @patch('apps.remote_mcp_app.check_mcp_name_exists')\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.MCPContainerManager')\n    @patch('apps.remote_mcp_app.add_remote_mcp_server_list')\n    def test_add_mcp_from_config_name_exists_early_check(self, mock_add_server, mock_container_manager_class, mock_get_user_info, mock_check_name):\n        \"\"\"Test adding MCP server when name exists (checked before starting container)\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n        mock_check_name.return_value = True  # Name already exists\n\n        mock_container_manager = MagicMock()\n        mock_container_manager_class.return_value = mock_container_manager\n\n        response = client.post(\n            \"/mcp/add-from-config\",\n            json={\n                \"mcpServers\": {\n                    \"test-service\": {\n                        \"command\": \"npx\",\n                        \"args\": [\"-y\", \"test-mcp\"],\n                        \"port\": 5020\n                    }\n                }\n            },\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.BAD_REQUEST\n        data = response.json()\n        assert \"All MCP servers failed\" in data[\"detail\"]\n        assert \"MCP name already exists\" in data[\"detail\"]\n        # Container should not be started when name already exists\n        mock_container_manager.start_mcp_container.assert_not_called()\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.MCPContainerManager')\n    @patch('apps.remote_mcp_app.check_mcp_name_exists', return_value=False)\n    def test_add_mcp_from_config_container_error(self, mock_check_name, mock_container_manager_class, mock_get_user_info):\n        \"\"\"Test adding MCP server when container startup fails\"\"\"\n        from consts.exceptions import MCPContainerError\n\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n\n        mock_container_manager = MagicMock()\n        mock_container_manager_class.return_value = mock_container_manager\n        mock_container_manager.start_mcp_container = AsyncMock(\n            side_effect=MCPContainerError(\"Container failed\"))\n\n        response = client.post(\n            \"/mcp/add-from-config\",\n            json={\n                \"mcpServers\": {\n                    \"test-service\": {\n                        \"command\": \"npx\",\n                        \"args\": [\"-y\", \"test-mcp\"],\n                        \"port\": 5020\n                    }\n                }\n            },\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.BAD_REQUEST\n        data = response.json()\n        assert \"All MCP servers failed\" in data[\"detail\"]\n        assert \"Container failed\" in data[\"detail\"]\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.MCPContainerManager')\n    @patch('apps.remote_mcp_app.check_mcp_name_exists', return_value=False)\n    def test_add_mcp_from_config_image_not_found_lowercase(self, mock_check_name, mock_container_manager_class, mock_get_user_info):\n        \"\"\"Test adding MCP server when image not found (lowercase 'not found')\"\"\"\n        from consts.exceptions import MCPContainerError\n\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n\n        mock_container_manager = MagicMock()\n        mock_container_manager_class.return_value = mock_container_manager\n        # Error message contains \"not found\" (lowercase)\n        mock_container_manager.start_mcp_container = AsyncMock(\n            side_effect=MCPContainerError(\"Container startup failed: Container startup failed: 404 Client Error for http+docker://localnpipe/v1.52/images/create?tag=latest&fromImage=nexent%2Fnexent-mcp: Not Found (\\\"failed to resolve reference \\\"docker.io/nexent/nexent-mcp:latest\\\": docker.io/nexent/nexent-mcp:latest: not found\\\")\"))\n\n        response = client.post(\n            \"/mcp/add-from-config\",\n            json={\n                \"mcpServers\": {\n                    \"test-service\": {\n                        \"command\": \"npx\",\n                        \"args\": [\"-y\", \"test-mcp\"],\n                        \"port\": 5020\n                    }\n                }\n            },\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.BAD_REQUEST\n        data = response.json()\n        assert \"All MCP servers failed\" in data[\"detail\"]\n        assert \"Image not found - MCP service startup image is missing\" in data[\"detail\"]\n        assert \"test-service\" in data[\"detail\"]\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.MCPContainerManager')\n    @patch('apps.remote_mcp_app.check_mcp_name_exists', return_value=False)\n    def test_add_mcp_from_config_image_not_found_uppercase(self, mock_check_name, mock_container_manager_class, mock_get_user_info):\n        \"\"\"Test adding MCP server when image not found (uppercase 'Not Found')\"\"\"\n        from consts.exceptions import MCPContainerError\n\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n\n        mock_container_manager = MagicMock()\n        mock_container_manager_class.return_value = mock_container_manager\n        # Error message contains \"Not Found\" (uppercase)\n        mock_container_manager.start_mcp_container = AsyncMock(\n            side_effect=MCPContainerError(\"Container startup failed: Image Not Found\"))\n\n        response = client.post(\n            \"/mcp/add-from-config\",\n            json={\n                \"mcpServers\": {\n                    \"test-service\": {\n                        \"command\": \"npx\",\n                        \"args\": [\"-y\", \"test-mcp\"],\n                        \"port\": 5020\n                    }\n                }\n            },\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.BAD_REQUEST\n        data = response.json()\n        assert \"All MCP servers failed\" in data[\"detail\"]\n        assert \"Image not found - MCP service startup image is missing\" in data[\"detail\"]\n        assert \"test-service\" in data[\"detail\"]\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.MCPContainerManager')\n    @patch('apps.remote_mcp_app.check_mcp_name_exists', return_value=False)\n    def test_add_mcp_from_config_image_not_found_with_404(self, mock_check_name, mock_container_manager_class, mock_get_user_info):\n        \"\"\"Test adding MCP server when image not found (contains '404')\"\"\"\n        from consts.exceptions import MCPContainerError\n\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n\n        mock_container_manager = MagicMock()\n        mock_container_manager_class.return_value = mock_container_manager\n        # Error message contains \"404\"\n        mock_container_manager.start_mcp_container = AsyncMock(\n            side_effect=MCPContainerError(\"Container startup failed: 404 Client Error for http+docker://localnpipe/v1.52/images/create\"))\n\n        response = client.post(\n            \"/mcp/add-from-config\",\n            json={\n                \"mcpServers\": {\n                    \"test-service\": {\n                        \"command\": \"npx\",\n                        \"args\": [\"-y\", \"test-mcp\"],\n                        \"port\": 5020\n                    }\n                }\n            },\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.BAD_REQUEST\n        data = response.json()\n        assert \"All MCP servers failed\" in data[\"detail\"]\n        assert \"Image not found - MCP service startup image is missing\" in data[\"detail\"]\n        assert \"test-service\" in data[\"detail\"]\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.MCPContainerManager')\n    @patch('apps.remote_mcp_app.add_remote_mcp_server_list')\n    @patch('apps.remote_mcp_app.check_mcp_name_exists', return_value=False)\n    def test_add_mcp_from_config_image_not_found_multiple_services(self, mock_check_name, mock_add_server, mock_container_manager_class, mock_get_user_info):\n        \"\"\"Test adding multiple MCP servers when one has image not found error\"\"\"\n        from consts.exceptions import MCPContainerError\n\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n\n        mock_container_manager = MagicMock()\n        mock_container_manager_class.return_value = mock_container_manager\n        # First service fails with image not found, second succeeds\n        mock_container_manager.start_mcp_container = AsyncMock(side_effect=[\n            MCPContainerError(\"Container startup failed: Image not found\"),\n            {\n                \"container_id\": \"container-2\",\n                \"mcp_url\": \"http://localhost:5021/mcp\",\n                \"host_port\": \"5021\",\n                \"status\": \"started\",\n                \"container_name\": \"service2-user1234\"\n            }\n        ])\n        mock_add_server.return_value = None\n\n        response = client.post(\n            \"/mcp/add-from-config\",\n            json={\n                \"mcpServers\": {\n                    \"service1\": {\n                        \"command\": \"npx\",\n                        \"args\": [\"-y\", \"service1\"],\n                        \"port\": 5020\n                    },\n                    \"service2\": {\n                        \"command\": \"npx\",\n                        \"args\": [\"-y\", \"service2\"],\n                        \"port\": 5021\n                    }\n                }\n            },\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.OK\n        data = response.json()\n        assert data[\"status\"] == \"success\"\n        assert len(data[\"results\"]) == 1\n        assert data[\"results\"][0][\"service_name\"] == \"service2\"\n        assert len(data[\"errors\"]) == 1\n        assert \"Image not found - MCP service startup image is missing\" in data[\"errors\"][0]\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.MCPContainerManager')\n    @patch('apps.remote_mcp_app.check_mcp_name_exists', return_value=False)\n    def test_add_mcp_from_config_unexpected_error_in_loop(self, mock_check_name, mock_container_manager_class, mock_get_user_info):\n        \"\"\"Test adding MCP server when unexpected exception occurs in loop (covers line 253-255)\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n\n        mock_container_manager = MagicMock()\n        mock_container_manager_class.return_value = mock_container_manager\n        # Raise a non-MCPContainerError exception to trigger the general Exception handler\n        mock_container_manager.start_mcp_container = AsyncMock(\n            side_effect=ValueError(\"Unexpected error\"))\n\n        response = client.post(\n            \"/mcp/add-from-config\",\n            json={\n                \"mcpServers\": {\n                    \"test-service\": {\n                        \"command\": \"npx\",\n                        \"args\": [\"-y\", \"test-mcp\"],\n                        \"port\": 5020\n                    }\n                }\n            },\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.BAD_REQUEST\n        data = response.json()\n        assert \"All MCP servers failed\" in data[\"detail\"]\n        assert \"Unexpected error\" in data[\"detail\"]\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.MCPContainerManager')\n    @patch('apps.remote_mcp_app.check_mcp_name_exists', return_value=False)\n    def test_add_mcp_from_config_all_fail(self, mock_check_name, mock_container_manager_class, mock_get_user_info):\n        \"\"\"Test adding MCP servers when all fail\"\"\"\n        from consts.exceptions import MCPContainerError\n\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n\n        mock_container_manager = MagicMock()\n        mock_container_manager_class.return_value = mock_container_manager\n        mock_container_manager.start_mcp_container = AsyncMock(\n            side_effect=MCPContainerError(\"Container failed\"))\n\n        response = client.post(\n            \"/mcp/add-from-config\",\n            json={\n                \"mcpServers\": {\n                    \"service1\": {\n                        \"command\": \"npx\",\n                        \"args\": [\"-y\", \"service1\"],\n                        \"port\": 5020\n                    }\n                }\n            },\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.BAD_REQUEST\n        data = response.json()\n        assert \"All MCP servers failed\" in data[\"detail\"]\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.MCPContainerManager')\n    @patch('apps.remote_mcp_app.check_mcp_name_exists', return_value=False)\n    def test_add_mcp_from_config_docker_unavailable(self, mock_check_name, mock_container_manager_class, mock_get_user_info):\n        \"\"\"Test adding MCP server when Docker is unavailable\"\"\"\n        from consts.exceptions import MCPContainerError\n\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n        mock_container_manager_class.side_effect = MCPContainerError(\n            \"Docker unavailable\")\n\n        response = client.post(\n            \"/mcp/add-from-config\",\n            json={\n                \"mcpServers\": {\n                    \"test-service\": {\n                        \"command\": \"npx\",\n                        \"args\": [\"-y\", \"test-mcp\"],\n                        \"port\": 5020\n                    }\n                }\n            },\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.SERVICE_UNAVAILABLE\n        data = response.json()\n        assert \"Docker service unavailable\" in data[\"detail\"]\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.MCPContainerManager')\n    @patch('apps.remote_mcp_app.add_remote_mcp_server_list')\n    @patch('apps.remote_mcp_app.check_mcp_name_exists', return_value=False)\n    def test_add_mcp_from_config_with_custom_image(self, mock_check_name, mock_add_server, mock_container_manager_class, mock_get_user_info):\n        \"\"\"Test adding MCP server with custom Docker image\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n\n        mock_container_manager = MagicMock()\n        mock_container_manager_class.return_value = mock_container_manager\n        mock_container_manager.start_mcp_container = AsyncMock(return_value={\n            \"container_id\": \"container-123\",\n            \"mcp_url\": \"http://localhost:5020/mcp\",\n            \"host_port\": \"5020\",\n            \"status\": \"started\",\n            \"container_name\": \"test-service-user1234\"\n        })\n\n        mock_add_server.return_value = None\n\n        response = client.post(\n            \"/mcp/add-from-config\",\n            json={\n                \"mcpServers\": {\n                    \"test-service\": {\n                        \"command\": \"python\",\n                        \"args\": [\"script.py\"],\n                        \"port\": 5020,\n                        \"image\": \"custom-image:latest\"\n                    }\n                }\n            },\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.OK\n        # Verify custom image was passed\n        mock_container_manager.start_mcp_container.assert_called_once()\n        call_kwargs = mock_container_manager.start_mcp_container.call_args[1]\n        assert call_kwargs[\"image\"] == \"custom-image:latest\"\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.check_mcp_name_exists', return_value=False)\n    def test_add_mcp_from_config_outer_exception(self, mock_check_name, mock_get_user_info):\n        \"\"\"Test adding MCP server when exception occurs outside loop (covers line 275-277)\"\"\"\n        # Make get_current_user_info raise an exception to trigger outer exception handler\n        mock_get_user_info.side_effect = RuntimeError(\"Failed to get user ID\")\n\n        response = client.post(\n            \"/mcp/add-from-config\",\n            json={\n                \"mcpServers\": {\n                    \"test-service\": {\n                        \"command\": \"npx\",\n                        \"args\": [\"-y\", \"test-mcp\"],\n                        \"port\": 5020\n                    }\n                }\n            },\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n        data = response.json()\n        assert \"Failed to add MCP servers\" in data[\"detail\"]\n\n\n# ---------------------------------------------------------------------------\n# Test stop_mcp_container\n# ---------------------------------------------------------------------------\n\n\nclass TestStopMCPContainer:\n    \"\"\"Test endpoint for stopping MCP container\"\"\"\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.delete_mcp_by_container_id')\n    @patch('apps.remote_mcp_app.MCPContainerManager')\n    def test_stop_mcp_container_success(self, mock_container_manager_class, mock_delete_mcp, mock_get_user_info):\n        \"\"\"Test successful stopping of MCP container\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n\n        mock_container_manager = MagicMock()\n        mock_container_manager_class.return_value = mock_container_manager\n        mock_container_manager.stop_mcp_container = AsyncMock(\n            return_value=True)\n\n        response = client.delete(\n            \"/mcp/container/container-123\",\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.OK\n        data = response.json()\n        assert data[\"status\"] == \"success\"\n        assert \"stopped successfully\" in data[\"message\"]\n        mock_container_manager.stop_mcp_container.assert_called_once_with(\n            \"container-123\")\n        mock_delete_mcp.assert_called_once_with(\n            tenant_id=\"tenant456\",\n            user_id=\"user123\",\n            container_id=\"container-123\",\n        )\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.MCPContainerManager')\n    def test_stop_mcp_container_not_found(self, mock_container_manager_class, mock_get_user_info):\n        \"\"\"Test stopping non-existent container\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n\n        mock_container_manager = MagicMock()\n        mock_container_manager_class.return_value = mock_container_manager\n        mock_container_manager.stop_mcp_container = AsyncMock(\n            return_value=False)\n\n        response = client.delete(\n            \"/mcp/container/non-existent\",\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.NOT_FOUND\n        data = response.json()\n        assert data[\"status\"] == \"error\"\n        assert \"not found\" in data[\"message\"]\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.MCPContainerManager')\n    def test_stop_mcp_container_docker_unavailable(self, mock_container_manager_class, mock_get_user_info):\n        \"\"\"Test stopping container when Docker is unavailable\"\"\"\n        from consts.exceptions import MCPContainerError\n\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n        mock_container_manager_class.side_effect = MCPContainerError(\n            \"Docker unavailable\")\n\n        response = client.delete(\n            \"/mcp/container/container-123\",\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.SERVICE_UNAVAILABLE\n        data = response.json()\n        assert \"Docker service unavailable\" in data[\"detail\"]\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.MCPContainerManager')\n    def test_stop_mcp_container_exception(self, mock_container_manager_class, mock_get_user_info):\n        \"\"\"Test stopping container when exception occurs\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n\n        mock_container_manager = MagicMock()\n        mock_container_manager_class.return_value = mock_container_manager\n        mock_container_manager.stop_mcp_container = AsyncMock(\n            side_effect=Exception(\"Unexpected error\"))\n\n        response = client.delete(\n            \"/mcp/container/container-123\",\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n        data = response.json()\n        assert \"Failed to stop container\" in data[\"detail\"]\n\n\n# ---------------------------------------------------------------------------\n# Test list_mcp_containers\n# ---------------------------------------------------------------------------\n\n\nclass TestListMCPContainers:\n    \"\"\"Test endpoint for listing MCP containers\"\"\"\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.MCPContainerManager')\n    @patch('apps.remote_mcp_app.attach_mcp_container_permissions')\n    @patch('apps.remote_mcp_app.get_remote_mcp_server_list', return_value=[])\n    def test_list_mcp_containers_success(self, mock_get_list, mock_attach_perm, mock_container_manager_class, mock_get_user_info):\n        \"\"\"Test successful listing of MCP containers\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n\n        mock_container_manager = MagicMock()\n        mock_container_manager_class.return_value = mock_container_manager\n        raw_containers = [\n            {\n                \"container_id\": \"container-1\",\n                \"name\": \"service1-user1234\",\n                \"status\": \"running\",\n                \"mcp_url\": \"http://localhost:5020/mcp\",\n                \"host_port\": \"5020\"\n            },\n            {\n                \"container_id\": \"container-2\",\n                \"name\": \"service2-user1234\",\n                \"status\": \"running\",\n                \"mcp_url\": \"http://localhost:5021/mcp\",\n                \"host_port\": \"5021\"\n            }\n        ]\n        mock_container_manager.list_mcp_containers.return_value = raw_containers\n        mock_attach_perm.return_value = [\n            {**raw_containers[0], \"permission\": \"EDIT\"},\n            {**raw_containers[1], \"permission\": \"READ_ONLY\"},\n        ]\n\n        response = client.get(\n            \"/mcp/containers\",\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.OK\n        data = response.json()\n        assert data[\"status\"] == \"success\"\n        assert len(data[\"containers\"]) == 2\n        assert data[\"containers\"][0][\"permission\"] == \"EDIT\"\n        assert data[\"containers\"][1][\"permission\"] == \"READ_ONLY\"\n        mock_container_manager.list_mcp_containers.assert_called_once_with(\n            tenant_id=\"tenant456\")\n        mock_attach_perm.assert_called_once_with(\n            containers=raw_containers,\n            tenant_id=\"tenant456\",\n            user_id=\"user123\",\n        )\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.MCPContainerManager')\n    @patch('apps.remote_mcp_app.attach_mcp_container_permissions')\n    @patch('apps.remote_mcp_app.get_remote_mcp_server_list', return_value=[])\n    def test_list_mcp_containers_with_tenant_id_param(self, mock_get_list, mock_attach_perm, mock_container_manager_class, mock_get_user_info):\n        \"\"\"Test listing MCP containers with explicit tenant_id parameter\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n\n        mock_container_manager = MagicMock()\n        mock_container_manager_class.return_value = mock_container_manager\n        mock_container_manager.list_mcp_containers.return_value = []\n        mock_attach_perm.return_value = []\n\n        response = client.get(\n            \"/mcp/containers\",\n            params={\"tenant_id\": \"explicit_tenant789\"},\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.OK\n        # Verify that explicit tenant_id is used\n        mock_container_manager.list_mcp_containers.assert_called_once_with(\n            tenant_id=\"explicit_tenant789\")\n        mock_attach_perm.assert_called_once_with(\n            containers=[],\n            tenant_id=\"explicit_tenant789\",\n            user_id=\"user123\",\n        )\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.MCPContainerManager')\n    @patch('apps.remote_mcp_app.attach_mcp_container_permissions', return_value=[])\n    @patch('apps.remote_mcp_app.get_remote_mcp_server_list', return_value=[])\n    def test_list_mcp_containers_empty(self, mock_get_list, mock_attach_perm, mock_container_manager_class, mock_get_user_info):\n        \"\"\"Test listing containers when none exist\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n\n        mock_container_manager = MagicMock()\n        mock_container_manager_class.return_value = mock_container_manager\n        mock_container_manager.list_mcp_containers.return_value = []\n\n        response = client.get(\n            \"/mcp/containers\",\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.OK\n        data = response.json()\n        assert data[\"status\"] == \"success\"\n        assert len(data[\"containers\"]) == 0\n        mock_attach_perm.assert_called_once_with(\n            containers=[],\n            tenant_id=\"tenant456\",\n            user_id=\"user123\",\n        )\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.MCPContainerManager')\n    @patch('apps.remote_mcp_app.get_remote_mcp_server_list', return_value=[])\n    def test_list_mcp_containers_docker_unavailable(self, mock_get_list, mock_container_manager_class, mock_get_user_info):\n        \"\"\"Test listing containers when Docker is unavailable\"\"\"\n        from consts.exceptions import MCPContainerError\n\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n        mock_container_manager_class.side_effect = MCPContainerError(\n            \"Docker unavailable\")\n\n        response = client.get(\n            \"/mcp/containers\",\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.SERVICE_UNAVAILABLE\n        data = response.json()\n        assert \"Docker service unavailable\" in data[\"detail\"]\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.MCPContainerManager')\n    @patch('apps.remote_mcp_app.get_remote_mcp_server_list', side_effect=Exception(\"Unexpected error\"))\n    def test_list_mcp_containers_exception(self, mock_get_list, mock_container_manager_class, mock_get_user_info):\n        \"\"\"Test listing containers when exception occurs\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n\n        mock_container_manager = MagicMock()\n        mock_container_manager_class.return_value = mock_container_manager\n        mock_container_manager.list_mcp_containers.side_effect = Exception(\n            \"Unexpected error\")\n\n        response = client.get(\n            \"/mcp/containers\",\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n        data = response.json()\n        assert \"Failed to list containers\" in data[\"detail\"]\n\n\n# ---------------------------------------------------------------------------\n# Test upload_mcp_image\n# ---------------------------------------------------------------------------\n\n\nclass TestUploadMCPImageValidation:\n    \"\"\"Test endpoint for uploading MCP image and starting container\"\"\"\n\n    @patch('apps.remote_mcp_app.upload_and_start_mcp_image')\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    def test_upload_mcp_image_success(self, mock_get_user_info, mock_upload_service):\n        \"\"\"Test successful upload and start of MCP image\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n\n        mock_upload_service.return_value = {\n            \"message\": \"MCP container started successfully from uploaded image\",\n            \"status\": \"success\",\n            \"service_name\": \"test-service\",\n            \"mcp_url\": \"http://localhost:5020/mcp\",\n            \"container_id\": \"container-123\",\n            \"container_name\": \"test-image-user1234\",\n            \"host_port\": \"5020\"\n        }\n\n        # Use actual file content\n        file_content = b\"fake tar content\"\n\n        response = client.post(\n            \"/mcp/upload-image\",\n            data={\n                \"port\": 5020,\n                \"service_name\": \"test-service\",\n                \"env_vars\": '{\"NODE_ENV\": \"production\"}'\n            },\n            files={\"file\": (\"test-image.tar\", file_content,\n                            \"application/octet-stream\")},\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.OK\n        data = response.json()\n        assert data[\"status\"] == \"success\"\n        assert \"MCP container started successfully\" in data[\"message\"]\n        assert data[\"service_name\"] == \"test-service\"\n        assert data[\"mcp_url\"] == \"http://localhost:5020/mcp\"\n        assert data[\"container_id\"] == \"container-123\"\n\n        mock_get_user_info.assert_called_once()\n        mock_upload_service.assert_called_once_with(\n            tenant_id=\"tenant456\",\n            user_id=\"user123\",\n            file_content=file_content,\n            filename=\"test-image.tar\",\n            port=5020,\n            service_name=\"test-service\",\n            env_vars='{\"NODE_ENV\": \"production\"}'\n        )\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.upload_and_start_mcp_image')\n    def test_upload_mcp_image_with_tenant_id_param(self, mock_upload_service, mock_get_user_info):\n        \"\"\"Test upload MCP image with explicit tenant_id parameter\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n        mock_upload_service.return_value = {\n            \"message\": \"MCP container started successfully from uploaded image\",\n            \"status\": \"success\",\n            \"service_name\": \"test-service\",\n            \"mcp_url\": \"http://localhost:5020/mcp\",\n            \"container_id\": \"container-123\",\n            \"container_name\": \"test-image-user1234\",\n            \"host_port\": \"5020\"\n        }\n\n        file_content = b\"fake tar content\"\n        response = client.post(\n            \"/mcp/upload-image\",\n            data={\n                \"port\": 5020,\n                \"service_name\": \"test-service\",\n                \"tenant_id\": \"explicit_tenant789\",\n                \"env_vars\": '{\"NODE_ENV\": \"production\"}'\n            },\n            files={\"file\": (\"test-image.tar\", file_content,\n                            \"application/octet-stream\")},\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.OK\n        # Verify that explicit tenant_id is used\n        mock_upload_service.assert_called_once_with(\n            tenant_id=\"explicit_tenant789\",\n            user_id=\"user123\",\n            file_content=file_content,\n            filename=\"test-image.tar\",\n            port=5020,\n            service_name=\"test-service\",\n            env_vars='{\"NODE_ENV\": \"production\"}'\n        )\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    def test_upload_mcp_image_invalid_file_type(self, mock_get_user_info):\n        \"\"\"Test upload with invalid file type\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n\n        response = client.post(\n            \"/mcp/upload-image\",\n            data={\"port\": 5020},\n            files={\"file\": (\"test.txt\", \"content\", \"text/plain\")},\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.BAD_REQUEST\n        data = response.json()\n        assert \"Only .tar files are allowed\" in data[\"detail\"]\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    def test_upload_mcp_image_file_too_large(self, mock_get_user_info):\n        \"\"\"Test upload with file exceeding size limit\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n\n        # Create a large file content (over 1GB) - use smaller size for test\n        large_content = b\"x\" * (1024 * 1024 * 1024 + 1)\n\n        response = client.post(\n            \"/mcp/upload-image\",\n            data={\"port\": 5020},\n            files={\"file\": (\"large.tar\", large_content,\n                            \"application/octet-stream\")},\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.BAD_REQUEST\n        data = response.json()\n        assert \"File size exceeds 1GB limit\" in data[\"detail\"]\n\n    @patch('apps.remote_mcp_app.upload_and_start_mcp_image')\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    def test_upload_mcp_image_auto_service_name(self, mock_get_user_info, mock_upload_service):\n        \"\"\"Test upload with auto-generated service name\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n\n        mock_upload_service.return_value = {\n            \"message\": \"MCP container started successfully from uploaded image\",\n            \"status\": \"success\",\n            \"service_name\": \"my-image\",  # Auto-generated from filename\n            \"mcp_url\": \"http://localhost:5020/mcp\",\n            \"container_id\": \"container-123\",\n            \"container_name\": \"my-image-user1234\",\n            \"host_port\": \"5020\"\n        }\n\n        file_content = b\"fake tar content\"\n\n        response = client.post(\n            \"/mcp/upload-image\",\n            data={\"port\": 5020},  # No service_name provided\n            files={\"file\": (\"my-image.tar\", file_content,\n                            \"application/octet-stream\")},\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.OK\n        data = response.json()\n        # Should use filename without extension\n        assert data[\"service_name\"] == \"my-image\"\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.MCPContainerManager')\n    @patch('apps.remote_mcp_app.check_mcp_name_exists', return_value=False)\n    def test_upload_mcp_image_invalid_env_vars_json(self, mock_check_name, mock_container_manager_class, mock_get_user_info):\n        \"\"\"Test upload with invalid JSON in env_vars\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n\n        mock_container_manager = MagicMock()\n        mock_container_manager_class.return_value = mock_container_manager\n\n        file_content = b\"fake tar content\"\n\n        response = client.post(\n            \"/mcp/upload-image\",\n            data={\n                \"port\": 5020,\n                \"env_vars\": \"invalid json {\"\n            },\n            files={\"file\": (\"test.tar\", file_content,\n                            \"application/octet-stream\")},\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.BAD_REQUEST\n        data = response.json()\n        assert \"Invalid environment variables format\" in data[\"detail\"]\n\n    @patch('apps.remote_mcp_app.upload_and_start_mcp_image')\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    def test_upload_mcp_image_name_conflict(self, mock_get_user_info, mock_upload_service):\n        \"\"\"Test upload when MCP service name already exists\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n\n        # Service layer raises MCPNameIllegal for name conflict\n        mock_upload_service.side_effect = MCPNameIllegal(\n            \"MCP service name already exists\")\n\n        file_content = b\"fake tar content\"\n\n        response = client.post(\n            \"/mcp/upload-image\",\n            data={\"port\": 5020, \"service_name\": \"existing-service\"},\n            files={\"file\": (\"test.tar\", file_content,\n                            \"application/octet-stream\")},\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.CONFLICT\n        data = response.json()\n        assert \"MCP service name already exists\" in data[\"detail\"]\n\n    @patch('apps.remote_mcp_app.upload_and_start_mcp_image')\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    def test_upload_mcp_image_container_error(self, mock_get_user_info, mock_upload_service):\n        \"\"\"Test upload when container startup fails\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n\n        # Service layer raises MCPContainerError\n        mock_upload_service.side_effect = MCPContainerError(\"Container failed\")\n\n        file_content = b\"fake tar content\"\n\n        response = client.post(\n            \"/mcp/upload-image\",\n            data={\"port\": 5020},\n            files={\"file\": (\"test.tar\", file_content,\n                            \"application/octet-stream\")},\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.SERVICE_UNAVAILABLE\n        data = response.json()\n        assert \"Container failed\" in data[\"detail\"]\n\n    @patch('apps.remote_mcp_app.upload_and_start_mcp_image')\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    def test_upload_mcp_image_docker_unavailable(self, mock_get_user_info, mock_upload_service):\n        \"\"\"Test upload when Docker service is unavailable\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n\n        # Service layer raises MCPContainerError for Docker unavailable\n        mock_upload_service.side_effect = MCPContainerError(\n            \"Docker unavailable\")\n\n        file_content = b\"fake tar content\"\n\n        response = client.post(\n            \"/mcp/upload-image\",\n            data={\"port\": 5020},\n            files={\"file\": (\"test.tar\", file_content,\n                            \"application/octet-stream\")},\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.SERVICE_UNAVAILABLE\n        data = response.json()\n        assert \"Docker unavailable\" in data[\"detail\"]\n\n\n# ---------------------------------------------------------------------------\n# Test get_container_logs (SSE streaming)\n# ---------------------------------------------------------------------------\n\n\nclass TestGetContainerLogs:\n    \"\"\"Test endpoint for getting container logs via SSE stream\"\"\"\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.MCPContainerManager')\n    def test_get_container_logs_success(self, mock_container_manager_class, mock_get_user_info):\n        \"\"\"Test successful SSE streaming of container logs\"\"\"\n        import json\n        \n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n\n        mock_container_manager = MagicMock()\n        mock_container_manager_class.return_value = mock_container_manager\n        \n        # Mock async generator for stream_container_logs\n        # Create an async generator function that yields 3 log lines\n        async def mock_stream_logs(container_id, tail, follow):\n            yield \"Log line 1\"\n            yield \"Log line 2\"\n            yield \"Log line 3\"\n        \n        # Assign the async generator function directly\n        # FastAPI will call it and iterate the generator\n        mock_container_manager.stream_container_logs = mock_stream_logs\n\n        response = client.get(\n            \"/mcp/container/container-123/logs?tail=100&follow=false\",\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.OK\n        assert \"text/event-stream\" in response.headers[\"content-type\"]\n        assert \"Cache-Control\" in response.headers\n        assert \"no-cache\" in response.headers[\"Cache-Control\"]\n        assert \"Connection\" in response.headers\n        assert \"keep-alive\" in response.headers[\"Connection\"]\n        \n        # Parse SSE content - TestClient should read the full stream\n        # Use response.content.decode() to ensure we get all bytes\n        content = response.content.decode('utf-8')\n        \n        # Split by double newlines to get SSE messages\n        # Filter out empty lines and lines that don't start with 'data: '\n        lines = [l.strip() for l in content.split('\\n\\n') if l.strip()]\n        data_lines = [l for l in lines if l.startswith('data: ')]\n        \n        # Should have 3 SSE messages (each log line becomes one SSE message)\n        assert len(data_lines) == 3, f\"Expected 3 SSE messages, got {len(data_lines)}. Content: {content[:500]}\"\n        \n        # Verify all 3 log lines are present in the response\n        # Parse each SSE message\n        log_lines = []\n        for line in data_lines:\n            data_str = line.replace('data: ', '')\n            data_json = json.loads(data_str)\n            assert data_json[\"status\"] == \"success\"\n            log_lines.append(data_json[\"logs\"])\n        \n        assert log_lines == [\"Log line 1\", \"Log line 2\", \"Log line 3\"]\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.MCPContainerManager')\n    def test_get_container_logs_with_follow(self, mock_container_manager_class, mock_get_user_info):\n        \"\"\"Test SSE streaming with follow=True\"\"\"\n        import json\n        \n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n\n        mock_container_manager = MagicMock()\n        mock_container_manager_class.return_value = mock_container_manager\n        \n        async def mock_stream_logs(container_id, tail, follow):\n            yield \"Initial log\"\n            yield \"New log 1\"\n        \n        # Use AsyncMock to wrap the generator function\n        mock_container_manager.stream_container_logs = AsyncMock(side_effect=mock_stream_logs)\n\n        response = client.get(\n            \"/mcp/container/container-123/logs?tail=50&follow=true\",\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.OK\n        assert \"text/event-stream\" in response.headers[\"content-type\"]\n        \n        # Verify follow parameter\n        call_args = mock_container_manager.stream_container_logs.call_args\n        assert call_args[1][\"follow\"] is True\n        assert call_args[1][\"tail\"] == 50\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.MCPContainerManager')\n    def test_get_container_logs_default_follow(self, mock_container_manager_class, mock_get_user_info):\n        \"\"\"Test that follow defaults to True\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n\n        mock_container_manager = MagicMock()\n        mock_container_manager_class.return_value = mock_container_manager\n        \n        async def mock_stream_logs(container_id, tail, follow):\n            yield \"Log line\"\n        \n        # Use AsyncMock to wrap the generator function\n        mock_container_manager.stream_container_logs = AsyncMock(side_effect=mock_stream_logs)\n\n        response = client.get(\n            \"/mcp/container/container-123/logs\",\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.OK\n        call_args = mock_container_manager.stream_container_logs.call_args\n        assert call_args[1][\"follow\"] is True  # Default should be True\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.MCPContainerManager')\n    def test_get_container_logs_docker_unavailable(self, mock_container_manager_class, mock_get_user_info):\n        \"\"\"Test getting logs when Docker is unavailable\"\"\"\n        from consts.exceptions import MCPContainerError\n\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n        mock_container_manager_class.side_effect = MCPContainerError(\n            \"Docker unavailable\")\n\n        response = client.get(\n            \"/mcp/container/container-123/logs\",\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.SERVICE_UNAVAILABLE\n        data = response.json()\n        assert \"Docker service unavailable\" in data[\"detail\"]\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.MCPContainerManager')\n    def test_get_container_logs_stream_error(self, mock_container_manager_class, mock_get_user_info):\n        \"\"\"Test SSE streaming when stream raises exception\"\"\"\n        import json\n        \n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n\n        mock_container_manager = MagicMock()\n        mock_container_manager_class.return_value = mock_container_manager\n        \n        # Mock stream that raises exception\n        async def mock_stream_logs(container_id, tail, follow):\n            yield \"Log line 1\"\n            raise Exception(\"Stream error\")\n        \n        mock_container_manager.stream_container_logs = mock_stream_logs\n\n        response = client.get(\n            \"/mcp/container/container-123/logs?tail=100&follow=false\",\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.OK\n        assert \"text/event-stream\" in response.headers[\"content-type\"]\n        \n        # Should have error message in stream\n        content = response.text\n        assert \"Error\" in content or \"error\" in content.lower()\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.MCPContainerManager')\n    def test_get_container_logs_exception(self, mock_container_manager_class, mock_get_user_info):\n        \"\"\"Test getting logs when exception occurs during stream iteration\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n\n        mock_container_manager = MagicMock()\n        mock_container_manager_class.return_value = mock_container_manager\n        \n        # Exception during stream_container_logs iteration\n        # When async for tries to iterate, the exception is raised\n        # This is caught by generate_log_stream's try-except (line 564) and sent as SSE error\n        async def mock_stream_logs_raises(container_id, tail, follow):\n            # Exception is raised during iteration (when async for starts)\n            raise Exception(\"Unexpected error\")\n            yield  # Unreachable but needed for async generator syntax\n        \n        # Assign the async generator function that raises exception\n        mock_container_manager.stream_container_logs = mock_stream_logs_raises\n\n        response = client.get(\n            \"/mcp/container/container-123/logs\",\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        # The exception is caught in generate_log_stream (line 564) and sent as SSE error message\n        # So we get 200 OK with error in the stream, not 500\n        assert response.status_code == HTTPStatus.OK\n        assert \"text/event-stream\" in response.headers[\"content-type\"]\n        content = response.text\n        # Should have error message in stream\n        assert \"Error\" in content or \"error\" in content.lower() or \"Unexpected error\" in content\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.MCPContainerManager')\n    def test_get_container_logs_with_tenant_id(self, mock_container_manager_class, mock_get_user_info):\n        \"\"\"Test that explicit tenant_id parameter is used\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n\n        mock_container_manager = MagicMock()\n        mock_container_manager_class.return_value = mock_container_manager\n        \n        async def mock_stream_logs(container_id, tail, follow):\n            yield \"Log line\"\n        \n        # Use AsyncMock to wrap the generator function\n        mock_container_manager.stream_container_logs = AsyncMock(side_effect=mock_stream_logs)\n\n        response = client.get(\n            \"/mcp/container/container-123/logs?tenant_id=explicit-tenant\",\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.OK\n        # Verify get_current_user_info was called (tenant_id handling)\n        mock_get_user_info.assert_called_once()\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.MCPContainerManager')\n    def test_get_container_logs_sse_format(self, mock_container_manager_class, mock_get_user_info):\n        \"\"\"Test that SSE format is correct\"\"\"\n        import json\n        \n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n\n        mock_container_manager = MagicMock()\n        mock_container_manager_class.return_value = mock_container_manager\n        \n        async def mock_stream_logs(container_id, tail, follow):\n            yield \"Test log line\"\n        \n        # Use AsyncMock to wrap the generator function\n        mock_container_manager.stream_container_logs = AsyncMock(side_effect=mock_stream_logs)\n\n        response = client.get(\n            \"/mcp/container/container-123/logs?tail=100&follow=false\",\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.OK\n        content = response.text\n        \n        # Verify SSE format: data: {json}\\n\\n\n        lines = content.strip().split('\\n\\n')\n        for line in lines:\n            if line.startswith('data: '):\n                data_str = line.replace('data: ', '')\n                data_json = json.loads(data_str)\n                assert \"logs\" in data_json\n                assert \"status\" in data_json\n                assert data_json[\"status\"] in [\"success\", \"error\"]\n\n\n# ---------------------------------------------------------------------------\n# Test upload_and_start_mcp_image endpoint with service layer\n# ---------------------------------------------------------------------------\n\n\nclass TestUploadMCPImageWithServiceLayer:\n    \"\"\"Test upload_mcp_image endpoint using the new service layer approach\"\"\"\n\n    @patch('apps.remote_mcp_app.upload_and_start_mcp_image')\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    def test_upload_mcp_image_success_service_layer(self, mock_get_user_info, mock_upload_service):\n        \"\"\"Test successful upload using service layer\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n\n        mock_upload_service.return_value = {\n            \"message\": \"MCP container started successfully from uploaded image\",\n            \"status\": \"success\",\n            \"service_name\": \"test-service\",\n            \"mcp_url\": \"http://localhost:5020/mcp\",\n            \"container_id\": \"container-123\",\n            \"container_name\": \"test-service-user1234\",\n            \"host_port\": \"5020\"\n        }\n\n        file_content = b\"fake tar content\"\n        response = client.post(\n            \"/mcp/upload-image\",\n            data={\n                \"port\": 5020,\n                \"service_name\": \"test-service\",\n                \"env_vars\": '{\"NODE_ENV\": \"production\"}'\n            },\n            files={\"file\": (\"test.tar\", file_content,\n                            \"application/octet-stream\")},\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.OK\n        data = response.json()\n        assert data[\"status\"] == \"success\"\n        assert data[\"service_name\"] == \"test-service\"\n        assert data[\"mcp_url\"] == \"http://localhost:5020/mcp\"\n\n        # Verify service layer was called correctly\n        mock_upload_service.assert_called_once_with(\n            tenant_id=\"tenant456\",\n            user_id=\"user123\",\n            file_content=file_content,\n            filename=\"test.tar\",\n            port=5020,\n            service_name=\"test-service\",\n            env_vars='{\"NODE_ENV\": \"production\"}'\n        )\n\n    @patch('apps.remote_mcp_app.upload_and_start_mcp_image')\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    def test_upload_mcp_image_auto_service_name(self, mock_get_user_info, mock_upload_service):\n        \"\"\"Test upload with auto-generated service name\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n\n        mock_upload_service.return_value = {\n            \"message\": \"MCP container started successfully from uploaded image\",\n            \"status\": \"success\",\n            \"service_name\": \"my-image\",  # Auto-generated from filename\n            \"mcp_url\": \"http://localhost:5020/mcp\",\n            \"container_id\": \"container-123\"\n        }\n\n        file_content = b\"fake tar content\"\n        response = client.post(\n            \"/mcp/upload-image\",\n            data={\"port\": 5020},  # No service_name provided\n            files={\"file\": (\"my-image.tar\", file_content,\n                            \"application/octet-stream\")},\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.OK\n        data = response.json()\n        assert data[\"service_name\"] == \"my-image\"\n\n        # Verify service was called with None for service_name\n        mock_upload_service.assert_called_once_with(\n            tenant_id=\"tenant456\",\n            user_id=\"user123\",\n            file_content=file_content,\n            filename=\"my-image.tar\",\n            port=5020,\n            service_name=None,\n            env_vars=None\n        )\n\n    @patch('apps.remote_mcp_app.upload_and_start_mcp_image')\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    def test_upload_mcp_image_validation_error_from_service(self, mock_get_user_info, mock_upload_service):\n        \"\"\"Test validation error from service layer\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n\n        # Service layer raises ValueError for invalid file type\n        mock_upload_service.side_effect = ValueError(\n            \"Only .tar files are allowed\")\n\n        file_content = b\"fake content\"\n        response = client.post(\n            \"/mcp/upload-image\",\n            data={\"port\": 5020},\n            # Wrong file type\n            files={\"file\": (\"test.txt\", file_content, \"text/plain\")},\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.BAD_REQUEST\n        data = response.json()\n        assert \"Only .tar files are allowed\" in data[\"detail\"]\n\n    @patch('apps.remote_mcp_app.upload_and_start_mcp_image')\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    def test_upload_mcp_image_name_conflict(self, mock_get_user_info, mock_upload_service):\n        \"\"\"Test MCP service name conflict\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n\n        # Service layer raises MCPNameIllegal for name conflict\n        mock_upload_service.side_effect = MCPNameIllegal(\n            \"MCP service name already exists\")\n\n        file_content = b\"fake tar content\"\n        response = client.post(\n            \"/mcp/upload-image\",\n            data={\"port\": 5020, \"service_name\": \"existing-service\"},\n            files={\"file\": (\"test.tar\", file_content,\n                            \"application/octet-stream\")},\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.CONFLICT\n        data = response.json()\n        assert \"MCP service name already exists\" in data[\"detail\"]\n\n    @patch('apps.remote_mcp_app.upload_and_start_mcp_image')\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    def test_upload_mcp_image_container_error(self, mock_get_user_info, mock_upload_service):\n        \"\"\"Test container startup error\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n\n        # Service layer raises MCPContainerError\n        mock_upload_service.side_effect = MCPContainerError(\"Container failed\")\n\n        file_content = b\"fake tar content\"\n        response = client.post(\n            \"/mcp/upload-image\",\n            data={\"port\": 5020},\n            files={\"file\": (\"test.tar\", file_content,\n                            \"application/octet-stream\")},\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.SERVICE_UNAVAILABLE\n        data = response.json()\n        assert \"Container failed\" in data[\"detail\"]\n\n    @patch('apps.remote_mcp_app.upload_and_start_mcp_image')\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    def test_upload_mcp_image_docker_unavailable(self, mock_get_user_info, mock_upload_service):\n        \"\"\"Test Docker service unavailable\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n\n        # Service layer raises MCPContainerError for Docker unavailable\n        mock_upload_service.side_effect = MCPContainerError(\n            \"Docker unavailable\")\n\n        file_content = b\"fake tar content\"\n        response = client.post(\n            \"/mcp/upload-image\",\n            data={\"port\": 5020},\n            files={\"file\": (\"test.tar\", file_content,\n                            \"application/octet-stream\")},\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.SERVICE_UNAVAILABLE\n        data = response.json()\n        assert \"Docker unavailable\" in data[\"detail\"]\n\n    @patch('apps.remote_mcp_app.upload_and_start_mcp_image')\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    def test_upload_mcp_image_general_exception(self, mock_get_user_info, mock_upload_service):\n        \"\"\"Test general exception handling\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n\n        # Service layer raises unexpected exception\n        mock_upload_service.side_effect = Exception(\"Unexpected error\")\n\n        file_content = b\"fake tar content\"\n        response = client.post(\n            \"/mcp/upload-image\",\n            data={\"port\": 5020},\n            files={\"file\": (\"test.tar\", file_content,\n                            \"application/octet-stream\")},\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n        data = response.json()\n        assert \"Failed to upload and start MCP container\" in data[\"detail\"]\n        assert \"Unexpected error\" in data[\"detail\"]\n\n\n# ---------------------------------------------------------------------------\n# Additional test cases for upload_mcp_image validation\n# ---------------------------------------------------------------------------\n\n\nclass TestUploadMCPImageValidationAdditional:\n    \"\"\"Additional test cases for upload_mcp_image endpoint validation\"\"\"\n\n    def test_upload_mcp_image_invalid_port_range_fastapi_validation(self):\n        \"\"\"Test upload with invalid port range using FastAPI native validation\"\"\"\n        file_content = b\"fake tar content\"\n\n        # Test port <= 0 - should fail FastAPI validation\n        response = client.post(\n            \"/mcp/upload-image\",\n            data={\"port\": 0},  # Invalid port\n            files={\"file\": (\"test.tar\", file_content,\n                            \"application/octet-stream\")},\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n        # FastAPI validation error\n        assert response.status_code == HTTPStatus.UNPROCESSABLE_ENTITY\n        data = response.json()\n        assert \"port\" in str(data[\"detail\"]).lower()\n\n        # Test port > 65535 - should fail FastAPI validation\n        response = client.post(\n            \"/mcp/upload-image\",\n            data={\"port\": 70000},  # Invalid port\n            files={\"file\": (\"test.tar\", file_content,\n                            \"application/octet-stream\")},\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n        # FastAPI validation error\n        assert response.status_code == HTTPStatus.UNPROCESSABLE_ENTITY\n        data = response.json()\n        assert \"port\" in str(data[\"detail\"]).lower()\n\n    @patch('apps.remote_mcp_app.upload_and_start_mcp_image')\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    def test_upload_mcp_image_env_vars_validation_in_service(self, mock_get_user_info, mock_upload_service):\n        \"\"\"Test environment variables validation now handled in service layer\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n\n        # Test with array instead of object - now handled in service layer\n        mock_upload_service.side_effect = ValueError(\n            \"Invalid environment variables format: Environment variables must be a JSON object\")\n\n        file_content = b\"fake tar content\"\n        response = client.post(\n            \"/mcp/upload-image\",\n            data={\n                \"port\": 5020,\n                \"env_vars\": '[\"VAR1\", \"VAR2\"]'  # Array instead of object\n            },\n            files={\"file\": (\"test.tar\", file_content,\n                            \"application/octet-stream\")},\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n        assert response.status_code == HTTPStatus.BAD_REQUEST\n        data = response.json()\n        assert \"Invalid environment variables format\" in data[\"detail\"]\n        assert \"Environment variables must be a JSON object\" in data[\"detail\"]\n\n\nclass MockMCPUpdateRequest:\n    \"\"\"Mock MCPUpdateRequest for testing\"\"\"\n\n    def __init__(self, current_service_name, current_mcp_url, new_service_name, new_mcp_url):\n        self.current_service_name = current_service_name\n        self.current_mcp_url = current_mcp_url\n        self.new_service_name = new_service_name\n        self.new_mcp_url = new_mcp_url\n\n\nclass TestUpdateRemoteProxy:\n    \"\"\"Test endpoint for updating remote MCP servers\"\"\"\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.update_remote_mcp_server_list')\n    def test_update_remote_proxy_success(self, mock_update_server, mock_get_user_info):\n        \"\"\"Test successful update of remote MCP proxy\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n        mock_update_server.return_value = None  # No exception means success\n\n        update_data = MockMCPUpdateRequest(\n            current_service_name=\"old_service\",\n            current_mcp_url=\"http://old.url\",\n            new_service_name=\"new_service\",\n            new_mcp_url=\"http://new.url\"\n        )\n\n        response = client.put(\n            \"/mcp/update\",\n            json={\n                \"current_service_name\": \"old_service\",\n                \"current_mcp_url\": \"http://old.url\",\n                \"new_service_name\": \"new_service\",\n                \"new_mcp_url\": \"http://new.url\"\n            },\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.OK\n        data = response.json()\n        assert data[\"status\"] == \"success\"\n        assert \"Successfully updated remote MCP proxy\" in data[\"message\"]\n\n        mock_get_user_info.assert_called_once()\n        # Verify the service was called with correct tenant_id and user_id\n        # The update_data parameter is automatically parsed by FastAPI from the JSON request\n        mock_update_server.assert_called_once()\n        call_kwargs = mock_update_server.call_args[1]\n        assert call_kwargs[\"tenant_id\"] == \"tenant456\"\n        assert call_kwargs[\"user_id\"] == \"user123\"\n        # Verify that update_data parameter exists and is not None\n        assert \"update_data\" in call_kwargs\n        assert call_kwargs[\"update_data\"] is not None\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.update_remote_mcp_server_list')\n    def test_update_remote_proxy_with_tenant_id_param(self, mock_update_server, mock_get_user_info):\n        \"\"\"Test updating remote MCP proxy with explicit tenant_id parameter\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n        mock_update_server.return_value = None\n\n        response = client.put(\n            \"/mcp/update\",\n            params={\"tenant_id\": \"explicit_tenant789\"},\n            json={\n                \"current_service_name\": \"old_service\",\n                \"current_mcp_url\": \"http://old.url\",\n                \"new_service_name\": \"new_service\",\n                \"new_mcp_url\": \"http://new.url\"\n            },\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.OK\n        # Verify that explicit tenant_id is used\n        mock_update_server.assert_called_once()\n        call_kwargs = mock_update_server.call_args[1]\n        assert call_kwargs[\"tenant_id\"] == \"explicit_tenant789\"\n        assert call_kwargs[\"user_id\"] == \"user123\"\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.update_remote_mcp_server_list')\n    def test_update_remote_proxy_name_conflict(self, mock_update_server, mock_get_user_info):\n        \"\"\"Test update MCP proxy with name conflict\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n        mock_update_server.side_effect = MCPNameIllegal(\n            \"New MCP name already exists\")\n\n        response = client.put(\n            \"/mcp/update\",\n            json={\n                \"current_service_name\": \"old_service\",\n                \"current_mcp_url\": \"http://old.url\",\n                \"new_service_name\": \"existing_service\",\n                \"new_mcp_url\": \"http://new.url\"\n            },\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.CONFLICT\n        data = response.json()\n        assert \"New MCP name already exists\" in data[\"detail\"]\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.update_remote_mcp_server_list')\n    def test_update_remote_proxy_connection_failed(self, mock_update_server, mock_get_user_info):\n        \"\"\"Test update MCP proxy with connection failure\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n        mock_update_server.side_effect = MCPConnectionError(\n            \"New MCP server connection failed\")\n\n        response = client.put(\n            \"/mcp/update\",\n            json={\n                \"current_service_name\": \"old_service\",\n                \"current_mcp_url\": \"http://old.url\",\n                \"new_service_name\": \"new_service\",\n                \"new_mcp_url\": \"http://unreachable.url\"\n            },\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.SERVICE_UNAVAILABLE\n        data = response.json()\n        assert \"New MCP server connection failed\" in data[\"detail\"]\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.update_remote_mcp_server_list')\n    def test_update_remote_proxy_current_name_not_exist(self, mock_update_server, mock_get_user_info):\n        \"\"\"Test update MCP proxy when current name doesn't exist\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n        mock_update_server.side_effect = MCPNameIllegal(\n            \"MCP name does not exist\")\n\n        response = client.put(\n            \"/mcp/update\",\n            json={\n                \"current_service_name\": \"nonexistent_service\",\n                \"current_mcp_url\": \"http://old.url\",\n                \"new_service_name\": \"new_service\",\n                \"new_mcp_url\": \"http://new.url\"\n            },\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.CONFLICT\n        data = response.json()\n        assert \"MCP name does not exist\" in data[\"detail\"]\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.update_remote_mcp_server_list')\n    def test_update_remote_proxy_database_error(self, mock_update_server, mock_get_user_info):\n        \"\"\"Test update MCP proxy with database error\"\"\"\n        from sqlalchemy.exc import SQLAlchemyError\n\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n        mock_update_server.side_effect = SQLAlchemyError(\n            \"Database connection failed\")\n\n        response = client.put(\n            \"/mcp/update\",\n            json={\n                \"current_service_name\": \"old_service\",\n                \"current_mcp_url\": \"http://old.url\",\n                \"new_service_name\": \"new_service\",\n                \"new_mcp_url\": \"http://new.url\"\n            },\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n        data = response.json()\n        assert \"Failed to update remote MCP proxy\" in data[\"detail\"]\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.update_remote_mcp_server_list')\n    def test_update_remote_proxy_same_name_and_url(self, mock_update_server, mock_get_user_info):\n        \"\"\"Test update MCP proxy with same name and URL (no-op update)\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n        mock_update_server.return_value = None\n\n        response = client.put(\n            \"/mcp/update\",\n            json={\n                \"current_service_name\": \"same_service\",\n                \"current_mcp_url\": \"http://same.url\",\n                \"new_service_name\": \"same_service\",\n                \"new_mcp_url\": \"http://same.url\"\n            },\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.OK\n        data = response.json()\n        assert data[\"status\"] == \"success\"\n\n    def test_update_remote_proxy_invalid_request_data(self):\n        \"\"\"Test update MCP proxy with invalid request data\"\"\"\n        # Missing required fields\n        response = client.put(\n            \"/mcp/update\",\n            json={\n                \"current_service_name\": \"old_service\"\n                # Missing other required fields\n            },\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.UNPROCESSABLE_ENTITY\n\n    @patch('apps.remote_mcp_app.get_current_user_info')\n    @patch('apps.remote_mcp_app.update_remote_mcp_server_list')\n    def test_update_remote_proxy_with_special_characters(self, mock_update_server, mock_get_user_info):\n        \"\"\"Test update MCP proxy with special characters in names and URLs\"\"\"\n        mock_get_user_info.return_value = (\"user123\", \"tenant456\", \"en\")\n        mock_update_server.return_value = None\n\n        response = client.put(\n            \"/mcp/update\",\n            json={\n                \"current_service_name\": \"old-service_123\",\n                \"current_mcp_url\": \"http://old-server.com:8080/path\",\n                \"new_service_name\": \"new-service_456\",\n                \"new_mcp_url\": \"http://new-server.com:9090/api\"\n            },\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.OK\n        data = response.json()\n        assert data[\"status\"] == \"success\"\n\n\nif __name__ == \"__main__\":\n    pytest.main([__file__])\n"
  },
  {
    "path": "test/backend/app/test_tenant_app.py",
    "content": "import pytest\nfrom unittest.mock import patch, MagicMock, AsyncMock\nimport sys\nimport os\nfrom typing import Optional\n\n# Add path for correct imports\nsys.path.insert(0, os.path.join(os.path.dirname(__file__), \"../../../backend\"))\n\n# Mock external dependencies\nsys.modules['boto3'] = MagicMock()\nsys.modules['psycopg2'] = MagicMock()\nsys.modules['supabase'] = MagicMock()\n\n# Apply critical patches before importing any modules\nstorage_client_mock = MagicMock()\nminio_mock = MagicMock()\nminio_mock._ensure_bucket_exists = MagicMock()\nminio_mock.client = MagicMock()\n\npatch('nexent.storage.storage_client_factory.create_storage_client_from_config', return_value=storage_client_mock).start()\npatch('nexent.storage.minio_config.MinIOStorageConfig.validate', lambda self: None).start()\npatch('backend.database.client.MinioClient', return_value=minio_mock).start()\npatch('database.client.MinioClient', return_value=minio_mock).start()\npatch('elasticsearch.Elasticsearch', return_value=MagicMock()).start()\n\n# Import exception classes and models\nfrom consts.exceptions import NotFoundException, ValidationError, UnauthorizedError\nfrom consts.model import TenantCreateRequest, TenantUpdateRequest, PaginationRequest\n\n# Import the modules we need\nfrom fastapi.testclient import TestClient\nfrom http import HTTPStatus\nfrom fastapi import FastAPI\n\n# Create a test client with a fresh FastAPI app\nfrom apps.tenant_app import router\n\napp = FastAPI()\napp.include_router(router)\nclient = TestClient(app)\n\n\nclass TestTenantCreation:\n    \"\"\"Test tenant creation endpoint\"\"\"\n\n    def test_create_tenant_success(self):\n        \"\"\"Test successful tenant creation\"\"\"\n        mock_tenant_info = {\n            \"tenant_id\": \"tenant-123\",\n            \"tenant_name\": \"Test Tenant\",\n            \"created_by\": \"user-456\",\n            \"created_at\": \"2024-01-01T00:00:00Z\"\n        }\n\n        with patch('apps.tenant_app.get_current_user_id') as mock_get_user, \\\n             patch('apps.tenant_app.create_tenant') as mock_create_tenant:\n\n            mock_get_user.return_value = (\"user-456\", \"tenant-123\")\n            mock_create_tenant.return_value = mock_tenant_info\n\n            request_data = {\n                \"tenant_name\": \"Test Tenant\"\n            }\n\n            response = client.post(\"/tenants\", json=request_data, headers={\"Authorization\": \"Bearer token\"})\n\n            assert response.status_code == HTTPStatus.CREATED\n            data = response.json()\n            assert data[\"message\"] == \"Tenant created successfully\"\n            assert data[\"data\"] == mock_tenant_info\n            mock_get_user.assert_called_once_with(\"Bearer token\")\n            mock_create_tenant.assert_called_once_with(\n                tenant_name=\"Test Tenant\",\n                created_by=\"user-456\"\n            )\n\n    def test_create_tenant_unauthorized(self):\n        \"\"\"Test tenant creation with unauthorized access\"\"\"\n        with patch('apps.tenant_app.get_current_user_id') as mock_get_user:\n            mock_get_user.side_effect = UnauthorizedError(\"Invalid token\")\n\n            request_data = {\n                \"tenant_name\": \"Test Tenant\"\n            }\n\n            response = client.post(\"/tenants\", json=request_data, headers={\"Authorization\": \"Bearer invalid\"})\n\n            assert response.status_code == HTTPStatus.UNAUTHORIZED\n            data = response.json()\n            assert \"Invalid token\" in data[\"detail\"]\n\n    def test_create_tenant_validation_error(self):\n        \"\"\"Test tenant creation with validation error\"\"\"\n        with patch('apps.tenant_app.get_current_user_id') as mock_get_user, \\\n             patch('apps.tenant_app.create_tenant') as mock_create_tenant:\n\n            mock_get_user.return_value = (\"user-456\", \"tenant-123\")\n            mock_create_tenant.side_effect = ValidationError(\"Tenant name already exists\")\n\n            request_data = {\n                \"tenant_name\": \"Existing Tenant\"\n            }\n\n            response = client.post(\"/tenants\", json=request_data, headers={\"Authorization\": \"Bearer token\"})\n\n            assert response.status_code == HTTPStatus.BAD_REQUEST\n            data = response.json()\n            assert \"Tenant name already exists\" in data[\"detail\"]\n\n    def test_create_tenant_unexpected_error(self):\n        \"\"\"Test tenant creation with unexpected error\"\"\"\n        with patch('apps.tenant_app.get_current_user_id') as mock_get_user, \\\n             patch('apps.tenant_app.create_tenant') as mock_create_tenant:\n\n            mock_get_user.return_value = (\"user-456\", \"tenant-123\")\n            mock_create_tenant.side_effect = Exception(\"Database connection failed\")\n\n            request_data = {\n                \"tenant_name\": \"Test Tenant\"\n            }\n\n            response = client.post(\"/tenants\", json=request_data, headers={\"Authorization\": \"Bearer token\"})\n\n            assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n            data = response.json()\n            assert data[\"detail\"] == \"Failed to create tenant\"\n\n\nclass TestTenantRetrieval:\n    \"\"\"Test tenant retrieval endpoints\"\"\"\n\n    def test_get_tenant_success(self):\n        \"\"\"Test successful tenant retrieval\"\"\"\n        mock_tenant_info = {\n            \"tenant_id\": \"tenant-123\",\n            \"tenant_name\": \"Test Tenant\",\n            \"created_by\": \"user-456\",\n            \"created_at\": \"2024-01-01T00:00:00Z\",\n            \"updated_at\": \"2024-01-02T00:00:00Z\"\n        }\n\n        with patch('apps.tenant_app.get_tenant_info') as mock_get_tenant:\n            mock_get_tenant.return_value = mock_tenant_info\n\n            response = client.get(\"/tenants/tenant-123\")\n\n            assert response.status_code == HTTPStatus.OK\n            data = response.json()\n            assert data[\"message\"] == \"Tenant retrieved successfully\"\n            assert data[\"data\"] == mock_tenant_info\n            mock_get_tenant.assert_called_once_with(\"tenant-123\")\n\n    def test_get_tenant_not_found(self):\n        \"\"\"Test tenant retrieval when tenant doesn't exist\"\"\"\n        with patch('apps.tenant_app.get_tenant_info') as mock_get_tenant:\n            mock_get_tenant.side_effect = NotFoundException(\"Tenant tenant-999 not found\")\n\n            response = client.get(\"/tenants/tenant-999\")\n\n            assert response.status_code == HTTPStatus.NOT_FOUND\n            data = response.json()\n            assert \"Tenant tenant-999 not found\" in data[\"detail\"]\n\n    def test_get_tenant_unexpected_error(self):\n        \"\"\"Test tenant retrieval with unexpected error\"\"\"\n        with patch('apps.tenant_app.get_tenant_info') as mock_get_tenant:\n            mock_get_tenant.side_effect = Exception(\"Database error\")\n\n            response = client.get(\"/tenants/tenant-123\")\n\n            assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n            data = response.json()\n            assert data[\"detail\"] == \"Failed to retrieve tenant\"\n\n    def test_get_all_tenants_success(self):\n        \"\"\"Test successful retrieval of all tenants with pagination\"\"\"\n        mock_tenants = [\n            {\n                \"tenant_id\": \"tenant-123\",\n                \"tenant_name\": \"Tenant 1\",\n                \"created_by\": \"user-456\"\n            },\n            {\n                \"tenant_id\": \"tenant-456\",\n                \"tenant_name\": \"Tenant 2\",\n                \"created_by\": \"user-789\"\n            }\n        ]\n\n        with patch('apps.tenant_app.get_tenants_paginated') as mock_get_tenants:\n            mock_get_tenants.return_value = {\n                \"data\": mock_tenants,\n                \"total\": 2,\n                \"page\": 1,\n                \"page_size\": 20,\n                \"total_pages\": 1\n            }\n\n            request_data = {\n                \"page\": 1,\n                \"page_size\": 20\n            }\n\n            response = client.post(\"/tenants/tenant-list\", json=request_data)\n\n            assert response.status_code == HTTPStatus.OK\n            data = response.json()\n            assert data[\"message\"] == \"Tenants retrieved successfully\"\n            assert data[\"data\"] == mock_tenants\n            assert data[\"total\"] == 2\n            assert data[\"page\"] == 1\n            assert data[\"page_size\"] == 20\n            assert data[\"total_pages\"] == 1\n            mock_get_tenants.assert_called_once_with(page=1, page_size=20)\n\n    def test_get_all_tenants_pagination(self):\n        \"\"\"Test tenant list with custom pagination parameters\"\"\"\n        with patch('apps.tenant_app.get_tenants_paginated') as mock_get_tenants:\n            mock_get_tenants.return_value = {\n                \"data\": [],\n                \"total\": 100,\n                \"page\": 2,\n                \"page_size\": 10,\n                \"total_pages\": 10\n            }\n\n            request_data = {\n                \"page\": 2,\n                \"page_size\": 10\n            }\n\n            response = client.post(\"/tenants/tenant-list\", json=request_data)\n\n            assert response.status_code == HTTPStatus.OK\n            data = response.json()\n            assert data[\"page\"] == 2\n            assert data[\"page_size\"] == 10\n            assert data[\"total\"] == 100\n            mock_get_tenants.assert_called_once_with(page=2, page_size=10)\n\n    def test_get_all_tenants_unexpected_error(self):\n        \"\"\"Test retrieval of all tenants with unexpected error\"\"\"\n        with patch('apps.tenant_app.get_tenants_paginated') as mock_get_tenants:\n            mock_get_tenants.side_effect = Exception(\"Database error\")\n\n            request_data = {\n                \"page\": 1,\n                \"page_size\": 20\n            }\n\n            response = client.post(\"/tenants/tenant-list\", json=request_data)\n\n            assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n            data = response.json()\n            assert data[\"detail\"] == \"Failed to retrieve tenants\"\n\n\nclass TestTenantUpdate:\n    \"\"\"Test tenant update endpoint\"\"\"\n\n    def test_update_tenant_success(self):\n        \"\"\"Test successful tenant update\"\"\"\n        mock_updated_tenant = {\n            \"tenant_id\": \"tenant-123\",\n            \"tenant_name\": \"Updated Tenant Name\",\n            \"created_by\": \"user-456\",\n            \"updated_by\": \"user-789\",\n            \"updated_at\": \"2024-01-03T00:00:00Z\"\n        }\n\n        with patch('apps.tenant_app.get_current_user_id') as mock_get_user, \\\n             patch('apps.tenant_app.update_tenant_info') as mock_update_tenant:\n\n            mock_get_user.return_value = (\"user-789\", \"tenant-123\")\n            mock_update_tenant.return_value = mock_updated_tenant\n\n            request_data = {\n                \"tenant_name\": \"Updated Tenant Name\"\n            }\n\n            response = client.put(\"/tenants/tenant-123\", json=request_data, headers={\"Authorization\": \"Bearer token\"})\n\n            assert response.status_code == HTTPStatus.OK\n            data = response.json()\n            assert data[\"message\"] == \"Tenant updated successfully\"\n            assert data[\"data\"] == mock_updated_tenant\n            mock_get_user.assert_called_once_with(\"Bearer token\")\n            mock_update_tenant.assert_called_once_with(\n                tenant_id=\"tenant-123\",\n                tenant_name=\"Updated Tenant Name\",\n                updated_by=\"user-789\"\n            )\n\n    def test_update_tenant_not_found(self):\n        \"\"\"Test tenant update when tenant doesn't exist\"\"\"\n        with patch('apps.tenant_app.get_current_user_id') as mock_get_user, \\\n             patch('apps.tenant_app.update_tenant_info') as mock_update_tenant:\n\n            mock_get_user.return_value = (\"user-789\", \"tenant-123\")\n            mock_update_tenant.side_effect = NotFoundException(\"Tenant tenant-999 not found\")\n\n            request_data = {\n                \"tenant_name\": \"Updated Name\"\n            }\n\n            response = client.put(\"/tenants/tenant-999\", json=request_data, headers={\"Authorization\": \"Bearer token\"})\n\n            assert response.status_code == HTTPStatus.NOT_FOUND\n            data = response.json()\n            assert \"Tenant tenant-999 not found\" in data[\"detail\"]\n\n    def test_update_tenant_validation_error(self):\n        \"\"\"Test tenant update with validation error\"\"\"\n        with patch('apps.tenant_app.get_current_user_id') as mock_get_user, \\\n             patch('apps.tenant_app.update_tenant_info') as mock_update_tenant:\n\n            mock_get_user.return_value = (\"user-789\", \"tenant-123\")\n            mock_update_tenant.side_effect = ValidationError(\"Tenant name already exists\")\n\n            request_data = {\n                \"tenant_name\": \"Existing Name\"\n            }\n\n            response = client.put(\"/tenants/tenant-123\", json=request_data, headers={\"Authorization\": \"Bearer token\"})\n\n            assert response.status_code == HTTPStatus.BAD_REQUEST\n            data = response.json()\n            assert \"Tenant name already exists\" in data[\"detail\"]\n\n    def test_update_tenant_unauthorized(self):\n        \"\"\"Test tenant update with unauthorized access\"\"\"\n        with patch('apps.tenant_app.get_current_user_id') as mock_get_user:\n            mock_get_user.side_effect = UnauthorizedError(\"Invalid token\")\n\n            request_data = {\n                \"tenant_name\": \"Updated Name\"\n            }\n\n            response = client.put(\"/tenants/tenant-123\", json=request_data, headers={\"Authorization\": \"Bearer invalid\"})\n\n            assert response.status_code == HTTPStatus.UNAUTHORIZED\n            data = response.json()\n            assert \"Invalid token\" in data[\"detail\"]\n\n    def test_update_tenant_unexpected_error(self):\n        \"\"\"Test tenant update with unexpected error\"\"\"\n        with patch('apps.tenant_app.get_current_user_id') as mock_get_user, \\\n             patch('apps.tenant_app.update_tenant_info') as mock_update_tenant:\n\n            mock_get_user.return_value = (\"user-789\", \"tenant-123\")\n            mock_update_tenant.side_effect = Exception(\"Database error\")\n\n            request_data = {\n                \"tenant_name\": \"Updated Name\"\n            }\n\n            response = client.put(\"/tenants/tenant-123\", json=request_data, headers={\"Authorization\": \"Bearer token\"})\n\n            assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n            data = response.json()\n            assert data[\"detail\"] == \"Failed to update tenant\"\n\n\nclass TestTenantDeletion:\n    \"\"\"Test tenant deletion endpoint\"\"\"\n\n    def test_delete_tenant_success(self):\n        \"\"\"Test successful tenant deletion\"\"\"\n        with patch('apps.tenant_app.get_current_user_id') as mock_get_user, \\\n             patch('apps.tenant_app.delete_tenant') as mock_delete_tenant:\n\n            mock_get_user.return_value = (\"user-789\", \"tenant-123\")\n            mock_delete_tenant.return_value = True\n\n            response = client.delete(\"/tenants/tenant-123\", headers={\"Authorization\": \"Bearer token\"})\n\n            assert response.status_code == HTTPStatus.OK\n            data = response.json()\n            assert \"deleted successfully\" in data[\"message\"]\n            mock_get_user.assert_called_once_with(\"Bearer token\")\n            mock_delete_tenant.assert_called_once_with(\"tenant-123\", deleted_by=\"user-789\")\n\n    def test_delete_tenant_not_found(self):\n        \"\"\"Test tenant deletion when tenant doesn't exist\"\"\"\n        with patch('apps.tenant_app.get_current_user_id') as mock_get_user, \\\n             patch('apps.tenant_app.delete_tenant') as mock_delete_tenant:\n\n            mock_get_user.return_value = (\"user-789\", \"tenant-123\")\n            mock_delete_tenant.side_effect = NotFoundException(\"Tenant tenant-999 not found\")\n\n            response = client.delete(\"/tenants/tenant-999\", headers={\"Authorization\": \"Bearer token\"})\n\n            assert response.status_code == HTTPStatus.NOT_FOUND\n            data = response.json()\n            assert \"Tenant tenant-999 not found\" in data[\"detail\"]\n\n    def test_delete_tenant_validation_error(self):\n        \"\"\"Test tenant deletion with validation error\"\"\"\n        with patch('apps.tenant_app.get_current_user_id') as mock_get_user, \\\n             patch('apps.tenant_app.delete_tenant') as mock_delete_tenant:\n\n            mock_get_user.return_value = (\"user-789\", \"tenant-123\")\n            mock_delete_tenant.side_effect = ValidationError(\"Cannot delete tenant with active resources\")\n\n            response = client.delete(\"/tenants/tenant-123\", headers={\"Authorization\": \"Bearer token\"})\n\n            assert response.status_code == HTTPStatus.BAD_REQUEST\n            data = response.json()\n            assert \"Cannot delete tenant with active resources\" in data[\"detail\"]\n\n    def test_delete_tenant_unauthorized(self):\n        \"\"\"Test tenant deletion with unauthorized access\"\"\"\n        with patch('apps.tenant_app.get_current_user_id') as mock_get_user:\n            mock_get_user.side_effect = UnauthorizedError(\"Invalid token\")\n\n            response = client.delete(\"/tenants/tenant-123\", headers={\"Authorization\": \"Bearer invalid\"})\n\n            assert response.status_code == HTTPStatus.UNAUTHORIZED\n            data = response.json()\n            assert \"Invalid token\" in data[\"detail\"]\n\n    def test_delete_tenant_unexpected_error(self):\n        \"\"\"Test tenant deletion with unexpected error\"\"\"\n        with patch('apps.tenant_app.get_current_user_id') as mock_get_user, \\\n             patch('apps.tenant_app.delete_tenant') as mock_delete_tenant:\n\n            mock_get_user.return_value = (\"user-789\", \"tenant-123\")\n            mock_delete_tenant.side_effect = Exception(\"Database error\")\n\n            response = client.delete(\"/tenants/tenant-123\", headers={\"Authorization\": \"Bearer token\"})\n\n            assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n            data = response.json()\n            assert data[\"detail\"] == \"Failed to delete tenant\"\n\n"
  },
  {
    "path": "test/backend/app/test_tenant_config_app.py",
    "content": "import unittest\nimport json\nimport os\nimport sys\nfrom unittest.mock import MagicMock\nfrom http import HTTPStatus\n\n# Add backend path to sys.path\ncurrent_dir = os.path.dirname(os.path.abspath(__file__))\nbackend_dir = os.path.abspath(os.path.join(current_dir, \"../../../backend\"))\nsys.path.insert(0, backend_dir)\n\n# Mock all external dependencies before any imports\ndatabase_client_mock = MagicMock()\ndatabase_client_mock.MinioClient = MagicMock()\ndatabase_client_mock.get_db_session = MagicMock()\ndatabase_client_mock.db_client = MagicMock()\nsys.modules['database.client'] = database_client_mock\n\nbotocore_client_mock = MagicMock()\nsys.modules['botocore.client'] = botocore_client_mock\n\nsys.modules['database.tenant_config_db'] = MagicMock()\n\n# Create mock functions\nmock_get_current_user_id = MagicMock()\nmock_get_selected_knowledge_list = MagicMock()\nmock_update_selected_knowledge = MagicMock()\n\n# Create mocked service modules\nservices_mock = MagicMock()\nservices_mock.get_selected_knowledge_list = mock_get_selected_knowledge_list\nservices_mock.update_selected_knowledge = mock_update_selected_knowledge\n\nauth_mock = MagicMock()\nauth_mock.get_current_user_id = mock_get_current_user_id\n\nconst_mock = MagicMock()\nconst_mock.DEPLOYMENT_VERSION = 'test_version'\nconst_mock.APP_VERSION = 'v1.2.3'\n\nsys.modules['services.tenant_config_service'] = services_mock\nsys.modules['utils.auth_utils'] = auth_mock\nsys.modules['consts.const'] = const_mock\n\n# Now import FastAPI components and the router\nfrom fastapi import FastAPI\nfrom fastapi.testclient import TestClient\nfrom apps.tenant_config_app import router\n\n# Import the module to directly replace functions\nimport apps.tenant_config_app as tenant_app\n\nclass TestTenantConfigApp(unittest.TestCase):\n    @classmethod\n    def setUpClass(cls):\n        \"\"\"Set up test client and mocks\"\"\"\n        # Create FastAPI app and test client\n        cls.app = FastAPI()\n        cls.app.include_router(router)\n        cls.client = TestClient(cls.app)\n\n        # Store references to mocks for easy access\n        cls.mock_get_user_id = mock_get_current_user_id\n        cls.mock_get_knowledge_list = mock_get_selected_knowledge_list\n        cls.mock_update_knowledge = mock_update_selected_knowledge\n\n        # Replace functions in the imported module directly\n        tenant_app.get_current_user_id = cls.mock_get_user_id\n        tenant_app.get_selected_knowledge_list = cls.mock_get_knowledge_list\n        tenant_app.update_selected_knowledge = cls.mock_update_knowledge\n\n        # Set up default mock returns\n        cls.mock_get_user_id.return_value = (\"test_user\", \"test_tenant\")\n        cls.mock_get_knowledge_list.return_value = [\n            {\n                \"index_name\": \"kb1\",\n                \"embedding_model_name\": \"embedding-model-1\",\n                \"knowledge_sources\": [\"source1\", \"source2\"]\n            },\n            {\n                \"index_name\": \"kb2\",\n                \"embedding_model_name\": \"embedding-model-2\",\n                \"knowledge_sources\": [\"source3\"]\n            }\n        ]\n        cls.mock_update_knowledge.return_value = True\n\n    def setUp(self):\n        \"\"\"Reset mocks before each test\"\"\"\n        # Reset all mocks to default state\n        self.mock_get_user_id.reset_mock()\n        self.mock_get_knowledge_list.reset_mock()\n        self.mock_update_knowledge.reset_mock()\n\n        # Clear any side effects\n        self.mock_get_user_id.side_effect = None\n        self.mock_get_knowledge_list.side_effect = None\n        self.mock_update_knowledge.side_effect = None\n\n        # Set up default returns\n        self.mock_get_user_id.return_value = (\"test_user\", \"test_tenant\")\n        self.mock_get_knowledge_list.return_value = [\n            {\n                \"index_name\": \"kb1\",\n                \"embedding_model_name\": \"embedding-model-1\",\n                \"knowledge_sources\": [\"source1\", \"source2\"]\n            },\n            {\n                \"index_name\": \"kb2\",\n                \"embedding_model_name\": \"embedding-model-2\",\n                \"knowledge_sources\": [\"source3\"]\n            }\n        ]\n        self.mock_update_knowledge.return_value = True\n\n    def test_get_deployment_version_success(self):\n        \"\"\"Test successful retrieval of deployment version\"\"\"\n        response = self.client.get(\"/tenant_config/deployment_version\")\n\n        self.assertEqual(response.status_code, HTTPStatus.OK)\n        data = response.json()\n        self.assertEqual(data[\"status\"], \"success\")\n        self.assertIn(\"deployment_version\", data)\n        self.assertIn(\"app_version\", data)\n        self.assertEqual(len(data.keys()), 3)\n\n\nif __name__ == '__main__':\n    unittest.main()\n"
  },
  {
    "path": "test/backend/app/test_tool_config_app.py",
    "content": "from unittest.mock import patch, MagicMock\nimport sys\nimport os\n\n# Add path for correct imports\nsys.path.insert(0, os.path.join(os.path.dirname(__file__), \"../../../backend\"))\n\n# Mock boto3 to avoid dependency issues\nsys.modules['boto3'] = MagicMock()\n\n# Apply critical patches before importing any modules\n# This prevents real AWS/MinIO/Elasticsearch calls during import\npatch('botocore.client.BaseClient._make_api_call', return_value={}).start()\n\n# Patch storage factory and MinIO config validation to avoid errors during initialization\n# These patches must be started before any imports that use MinioClient\nstorage_client_mock = MagicMock()\nminio_mock = MagicMock()\nminio_mock._ensure_bucket_exists = MagicMock()\nminio_mock.client = MagicMock()\npatch('nexent.storage.storage_client_factory.create_storage_client_from_config', return_value=storage_client_mock).start()\npatch('nexent.storage.minio_config.MinIOStorageConfig.validate', lambda self: None).start()\npatch('backend.database.client.MinioClient', return_value=minio_mock).start()\npatch('database.client.MinioClient', return_value=minio_mock).start()\npatch('backend.database.client.minio_client', minio_mock).start()\npatch('elasticsearch.Elasticsearch', return_value=MagicMock()).start()\n\n# Import exception classes\nfrom consts.exceptions import MCPConnectionError, NotFoundException\n\n# Import the modules we need\nimport pytest\nfrom fastapi.testclient import TestClient\nfrom http import HTTPStatus\n\n# Create a test client with a fresh FastAPI app\nfrom apps.tool_config_app import router\nfrom fastapi import FastAPI\n\n# Patch exception classes to ensure tests use correct exceptions\nimport apps.tool_config_app as tool_config_app\ntool_config_app.MCPConnectionError = MCPConnectionError\n\napp = FastAPI()\napp.include_router(router)\nclient = TestClient(app)\n\n\nclass TestListToolsAPI:\n    \"\"\"Test endpoint for listing tools\"\"\"\n\n    @patch('apps.tool_config_app.get_current_user_id')\n    @patch('apps.tool_config_app.list_all_tools')\n    def test_list_tools_success(self, mock_list_all_tools, mock_get_user_id):\n        \"\"\"Test successful retrieval of tool list\"\"\"\n        mock_get_user_id.return_value = (\"user123\", \"tenant456\")\n        mock_list_all_tools.return_value = [\n            {\"id\": 1, \"name\": \"Tool1\"},\n            {\"id\": 2, \"name\": \"Tool2\"}\n        ]\n\n        response = client.get(\"/tool/list\")\n\n        assert response.status_code == HTTPStatus.OK\n        data = response.json()\n        assert len(data) == 2\n        assert data[0][\"name\"] == \"Tool1\"\n        assert data[1][\"name\"] == \"Tool2\"\n\n        mock_get_user_id.assert_called_once_with(None)\n        mock_list_all_tools.assert_called_once_with(tenant_id=\"tenant456\")\n\n    @patch('apps.tool_config_app.get_current_user_id')\n    def test_list_tools_auth_error(self, mock_get_user_id):\n        \"\"\"Test authentication error when listing tools\"\"\"\n        mock_get_user_id.side_effect = Exception(\"Auth error\")\n\n        response = client.get(\"/tool/list\")\n\n        assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n        data = response.json()\n        assert \"Failed to get tool info, error in: Auth error\" in data[\"detail\"]\n\n    @patch('apps.tool_config_app.get_current_user_id')\n    @patch('apps.tool_config_app.list_all_tools')\n    def test_list_tools_service_error(self, mock_list_all_tools, mock_get_user_id):\n        \"\"\"Test service error when listing tools\"\"\"\n        mock_get_user_id.return_value = (\"user123\", \"tenant456\")\n        mock_list_all_tools.side_effect = Exception(\"Service error\")\n\n        response = client.get(\"/tool/list\")\n\n        assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n        data = response.json()\n        assert \"Failed to get tool info, error in: Service error\" in data[\"detail\"]\n\n\nclass TestSearchToolInfoAPI:\n    \"\"\"Test endpoint for searching tool information\"\"\"\n\n    @patch('apps.tool_config_app.get_current_user_id')\n    @patch('apps.tool_config_app.search_tool_info_impl')\n    def test_search_tool_info_success(self, mock_search_tool_info, mock_get_user_id):\n        \"\"\"Test successful tool information search\"\"\"\n        mock_get_user_id.return_value = (\"user123\", \"tenant456\")\n        mock_search_tool_info.return_value = {\n            \"tool\": \"info\", \"config\": {\"key\": \"value\"}}\n\n        response = client.post(\n            \"/tool/search\",\n            json={\"agent_id\": 123, \"tool_id\": 456}  # Changed to int\n        )\n\n        assert response.status_code == HTTPStatus.OK\n        data = response.json()\n        assert data[\"tool\"] == \"info\"\n        assert data[\"config\"][\"key\"] == \"value\"\n\n        mock_get_user_id.assert_called_once_with(None)\n        mock_search_tool_info.assert_called_once_with(123, 456, \"tenant456\")\n\n    @patch('apps.tool_config_app.get_current_user_id')\n    @patch('apps.tool_config_app.search_tool_info_impl')\n    def test_search_tool_info_service_error(self, mock_search_tool_info, mock_get_user_id):\n        \"\"\"Test service error when searching tool info\"\"\"\n        mock_get_user_id.return_value = (\"user123\", \"tenant456\")\n        mock_search_tool_info.side_effect = Exception(\"Search error\")\n\n        response = client.post(\n            \"/tool/search\",\n            json={\"agent_id\": 123, \"tool_id\": 456}  # Changed to int\n        )\n\n        assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n        data = response.json()\n        assert \"Failed to search tool info\" in data[\"detail\"]\n\n\nclass TestUpdateToolInfoAPI:\n    \"\"\"Test endpoint for updating tool information\"\"\"\n\n    @patch('apps.tool_config_app.get_current_user_id')\n    @patch('apps.tool_config_app.update_tool_info_impl')\n    def test_update_tool_info_success(self, mock_update_tool_info, mock_get_user_id):\n        \"\"\"Test successful tool information update\"\"\"\n        mock_get_user_id.return_value = (\"user123\", \"tenant456\")\n        mock_update_tool_info.return_value = {\n            \"updated\": True, \"tool_id\": \"tool456\"}\n\n        response = client.post(\n            \"/tool/update\",\n            json={\n                \"agent_id\": 123,  # Changed to int\n                \"tool_id\": 456,   # Changed to int\n                # Changed from \"configuration\" to \"params\"\n                \"params\": {\"key\": \"value\"},\n                \"enabled\": True  # Added required field\n            }\n        )\n\n        assert response.status_code == HTTPStatus.OK\n        data = response.json()\n        assert data[\"updated\"] == True\n        assert data[\"tool_id\"] == \"tool456\"\n\n        mock_get_user_id.assert_called_once_with(None)\n        # The mock should be called with request object, tenant_id, user_id\n        assert mock_update_tool_info.call_count == 1\n        args = mock_update_tool_info.call_args[0]\n        assert args[1] == \"tenant456\"  # tenant_id\n        assert args[2] == \"user123\"    # user_id\n\n    @patch('apps.tool_config_app.get_current_user_id')\n    @patch('apps.tool_config_app.update_tool_info_impl')\n    def test_update_tool_info_service_error(self, mock_update_tool_info, mock_get_user_id):\n        \"\"\"Test service error when updating tool info\"\"\"\n        mock_get_user_id.return_value = (\"user123\", \"tenant456\")\n        mock_update_tool_info.side_effect = Exception(\"Update error\")\n\n        response = client.post(\n            \"/tool/update\",\n            json={\n                \"agent_id\": 123,  # Changed to int\n                \"tool_id\": 456,   # Changed to int\n                # Changed from \"configuration\" to \"params\"\n                \"params\": {\"key\": \"value\"},\n                \"enabled\": True  # Added required field\n            }\n        )\n\n        assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n        data = response.json()\n        assert \"Failed to update tool, error in: Update error\" in data[\"detail\"]\n\n\nclass TestScanAndUpdateToolAPI:\n    \"\"\"Test endpoint for scanning and updating tools\"\"\"\n\n    @patch('apps.tool_config_app.get_current_user_id')\n    @patch('apps.tool_config_app.update_tool_list')\n    def test_scan_and_update_tool_success(self, mock_update_tool_list, mock_get_user_id):\n        \"\"\"Test successful tool scan and update\"\"\"\n        mock_get_user_id.return_value = (\"user123\", \"tenant456\")\n        mock_update_tool_list.return_value = None\n\n        response = client.get(\"/tool/scan_tool\")\n\n        assert response.status_code == HTTPStatus.OK\n        data = response.json()\n        assert data[\"status\"] == \"success\"\n        assert \"Successfully update tool\" in data[\"message\"]\n\n        mock_get_user_id.assert_called_once_with(None)\n        mock_update_tool_list.assert_called_once_with(\n            tenant_id=\"tenant456\", user_id=\"user123\")\n\n    @patch('apps.tool_config_app.get_current_user_id')\n    @patch('apps.tool_config_app.update_tool_list')\n    def test_scan_and_update_tool_mcp_error(self, mock_update_tool_list, mock_get_user_id):\n        \"\"\"Test MCP connection error during tool scan\"\"\"\n        mock_get_user_id.return_value = (\"user123\", \"tenant456\")\n        mock_update_tool_list.side_effect = MCPConnectionError(\n            \"MCP connection failed\")\n\n        response = client.get(\"/tool/scan_tool\")\n\n        assert response.status_code == HTTPStatus.SERVICE_UNAVAILABLE\n        data = response.json()\n        assert \"MCP connection failed\" in data[\"detail\"]\n\n    @patch('apps.tool_config_app.get_current_user_id')\n    @patch('apps.tool_config_app.update_tool_list')\n    def test_scan_and_update_tool_general_error(self, mock_update_tool_list, mock_get_user_id):\n        \"\"\"Test general error during tool scan\"\"\"\n        mock_get_user_id.return_value = (\"user123\", \"tenant456\")\n        mock_update_tool_list.side_effect = Exception(\"General update error\")\n\n        response = client.get(\"/tool/scan_tool\")\n\n        assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n        data = response.json()\n        assert \"Failed to update tool\" in data[\"detail\"]\n\n\nclass TestIntegration:\n    \"\"\"Integration tests\"\"\"\n\n    @patch('apps.tool_config_app.get_current_user_id')\n    @patch('apps.tool_config_app.list_all_tools')\n    @patch('apps.tool_config_app.search_tool_info_impl')\n    @patch('apps.tool_config_app.update_tool_info_impl')\n    def test_full_tool_lifecycle(self, mock_update_tool_info, mock_search_tool_info,\n                                 mock_list_all_tools, mock_get_user_id):\n        \"\"\"Test complete tool configuration lifecycle\"\"\"\n        mock_get_user_id.return_value = (\"user123\", \"tenant456\")\n\n        # 1. List tools\n        mock_list_all_tools.return_value = [{\"id\": 1, \"name\": \"TestTool\"}]\n        list_response = client.get(\"/tool/list\")\n        assert list_response.status_code == HTTPStatus.OK\n        data = list_response.json()\n        assert len(data) == 1\n\n        # 2. Search tool info\n        mock_search_tool_info.return_value = {\"tool\": \"TestTool\", \"config\": {}}\n        search_response = client.post(\n            \"/tool/search\",\n            json={\"agent_id\": 123, \"tool_id\": 1}  # Changed to int\n        )\n        assert search_response.status_code == HTTPStatus.OK\n\n        # 3. Update tool info\n        mock_update_tool_info.return_value = {\"updated\": True}\n        update_response = client.post(\n            \"/tool/update\",\n            json={\n                \"agent_id\": 123,  # Changed to int\n                \"tool_id\": 1,     # Changed to int\n                # Changed from \"configuration\" to \"params\"\n                \"params\": {\"new_key\": \"new_value\"},\n                \"enabled\": True   # Added required field\n            }\n        )\n        assert update_response.status_code == HTTPStatus.OK\n\n\nclass TestErrorHandling:\n    \"\"\"Error handling tests\"\"\"\n\n    @patch('apps.tool_config_app.get_current_user_id')\n    @patch('apps.tool_config_app.list_all_tools')\n    def test_authorization_header_handling(self, mock_list_all_tools, mock_get_user_id):\n        \"\"\"Test authorization header handling\"\"\"\n        mock_get_user_id.return_value = (\"user123\", \"tenant456\")\n        mock_list_all_tools.return_value = []\n\n        # Test with Authorization header\n        response = client.get(\n            \"/tool/list\",\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n        assert response.status_code == HTTPStatus.OK\n        mock_get_user_id.assert_called_with(\"Bearer test_token\")\n\n        # Reset mock\n        mock_get_user_id.reset_mock()\n\n        # Test without Authorization header\n        response = client.get(\"/tool/list\")\n        assert response.status_code == HTTPStatus.OK\n        mock_get_user_id.assert_called_with(None)\n\n    def test_missing_parameters(self):\n        \"\"\"Test missing required parameters\"\"\"\n        # Test missing parameters for search\n        response = client.post(\"/tool/search\", json={})\n        assert response.status_code == HTTPStatus.UNPROCESSABLE_ENTITY\n\n        # Test missing parameters for update\n        response = client.post(\"/tool/update\", json={})\n        assert response.status_code == HTTPStatus.UNPROCESSABLE_ENTITY\n\n    @patch('apps.tool_config_app.get_current_user_id')\n    @patch('apps.tool_config_app.validate_tool_impl')\n    def test_validate_tool_success(self, mock_validate_tool, mock_get_user_id):\n        \"\"\"Test successful tool validation\"\"\"\n        mock_get_user_id.return_value = (\"user123\", \"tenant456\")\n        mock_validate_tool.return_value = {\n            \"status\": \"valid\", \"result\": \"test_result\"}\n\n        response = client.post(\n            \"/tool/validate\",\n            json={\n                \"name\": \"test_tool\",\n                \"source\": \"local\",\n                \"usage\": None,\n                \"inputs\": {\"param1\": \"value1\"},\n                \"params\": {\"config\": \"value\"}\n            }\n        )\n\n        assert response.status_code == HTTPStatus.OK\n        data = response.json()\n        assert data[\"status\"] == \"valid\"\n        assert data[\"result\"] == \"test_result\"\n\n        mock_get_user_id.assert_called_once_with(None)\n        mock_validate_tool.assert_called_once()\n\n    @patch('apps.tool_config_app.get_current_user_id')\n    @patch('apps.tool_config_app.validate_tool_impl')\n    def test_validate_tool_mcp_connection_error(self, mock_validate_tool, mock_get_user_id):\n        \"\"\"Test MCP connection error during tool validation\"\"\"\n        mock_get_user_id.return_value = (\"user123\", \"tenant456\")\n        mock_validate_tool.side_effect = MCPConnectionError(\n            \"MCP connection failed\")\n\n        response = client.post(\n            \"/tool/validate\",\n            json={\n                \"name\": \"test_tool\",\n                \"source\": \"mcp\",\n                \"usage\": \"nexent\",\n                \"inputs\": {\"param1\": \"value1\"}\n            }\n        )\n\n        assert response.status_code == HTTPStatus.SERVICE_UNAVAILABLE\n        data = response.json()\n        assert \"MCP connection failed\" in data[\"detail\"]\n\n        mock_get_user_id.assert_called_once_with(None)\n        mock_validate_tool.assert_called_once()\n\n    @patch('apps.tool_config_app.get_current_user_id')\n    @patch('apps.tool_config_app.validate_tool_impl')\n    def test_validate_tool_not_found_error(self, mock_validate_tool, mock_get_user_id):\n        \"\"\"Test tool not found error during validation\"\"\"\n        mock_get_user_id.return_value = (\"user123\", \"tenant456\")\n        mock_validate_tool.side_effect = NotFoundException(\"Tool not found\")\n\n        response = client.post(\n            \"/tool/validate\",\n            json={\n                \"name\": \"nonexistent_tool\",\n                \"source\": \"local\",\n                \"usage\": None,\n                \"inputs\": {\"param1\": \"value1\"}\n            }\n        )\n\n        assert response.status_code == HTTPStatus.NOT_FOUND\n        data = response.json()\n        assert \"Tool not found\" in data[\"detail\"]\n\n        mock_get_user_id.assert_called_once_with(None)\n        mock_validate_tool.assert_called_once()\n\n    @patch('apps.tool_config_app.get_current_user_id')\n    @patch('apps.tool_config_app.validate_tool_impl')\n    def test_validate_tool_general_error(self, mock_validate_tool, mock_get_user_id):\n        \"\"\"Test general error during tool validation\"\"\"\n        mock_get_user_id.return_value = (\"user123\", \"tenant456\")\n        mock_validate_tool.side_effect = Exception(\"General validation error\")\n\n        response = client.post(\n            \"/tool/validate\",\n            json={\n                \"name\": \"test_tool\",\n                \"source\": \"local\",\n                \"usage\": None,\n                \"inputs\": {\"param1\": \"value1\"}\n            }\n        )\n\n        assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n        data = response.json()\n        assert \"General validation error\" in data[\"detail\"]\n\n        mock_get_user_id.assert_called_once_with(None)\n        mock_validate_tool.assert_called_once()\n\n    @patch('apps.tool_config_app.get_current_user_id')\n    def test_validate_tool_auth_error(self, mock_get_user_id):\n        \"\"\"Test authentication error during tool validation\"\"\"\n        mock_get_user_id.side_effect = Exception(\"Auth error\")\n\n        response = client.post(\n            \"/tool/validate\",\n            json={\n                \"name\": \"test_tool\",\n                \"source\": \"local\",\n                \"usage\": None,\n                \"inputs\": {\"param1\": \"value1\"}\n            }\n        )\n\n        assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n        data = response.json()\n        assert \"Auth error\" in data[\"detail\"]\n\n        mock_get_user_id.assert_called_once_with(None)\n\n    @patch('apps.tool_config_app.get_current_user_id')\n    @patch('apps.tool_config_app.validate_tool_impl')\n    def test_validate_tool_with_authorization_header(self, mock_validate_tool, mock_get_user_id):\n        \"\"\"Test tool validation with authorization header\"\"\"\n        mock_get_user_id.return_value = (\"user123\", \"tenant456\")\n        mock_validate_tool.return_value = {\"status\": \"valid\"}\n\n        response = client.post(\n            \"/tool/validate\",\n            json={\n                \"name\": \"test_tool\",\n                \"source\": \"mcp\",\n                \"usage\": \"nexent\",\n                \"inputs\": {\"param1\": \"value1\"}\n            },\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.OK\n        mock_get_user_id.assert_called_with(\"Bearer test_token\")\n\n    def test_validate_tool_missing_required_fields(self):\n        \"\"\"Test tool validation with missing required fields\"\"\"\n        # Missing name field\n        response = client.post(\n            \"/tool/validate\",\n            json={\n                \"source\": \"local\",\n                \"usage\": None,\n                \"inputs\": {\"param1\": \"value1\"}\n            }\n        )\n        assert response.status_code == HTTPStatus.UNPROCESSABLE_ENTITY\n\n        # Missing source field\n        response = client.post(\n            \"/tool/validate\",\n            json={\n                \"name\": \"test_tool\",\n                \"usage\": None,\n                \"inputs\": {\"param1\": \"value1\"}\n            }\n        )\n        assert response.status_code == HTTPStatus.UNPROCESSABLE_ENTITY\n\n\nif __name__ == \"__main__\":\n    pytest.main([__file__])\n\n\nclass TestEdgeCases:\n    \"\"\"Edge cases and boundary condition tests\"\"\"\n\n    @patch('apps.tool_config_app.get_current_user_id')\n    @patch('apps.tool_config_app.list_all_tools')\n    def test_list_tools_empty_response(self, mock_list_all_tools, mock_get_user_id):\n        \"\"\"Test handling of empty tool list\"\"\"\n        mock_get_user_id.return_value = (\"user123\", \"tenant456\")\n        mock_list_all_tools.return_value = []\n\n        response = client.get(\"/tool/list\")\n\n        assert response.status_code == HTTPStatus.OK\n        data = response.json()\n        assert data == []\n\n    @patch('apps.tool_config_app.get_current_user_id')\n    @patch('apps.tool_config_app.search_tool_info_impl')\n    def test_search_tool_info_not_found(self, mock_search_tool_info, mock_get_user_id):\n        \"\"\"Test searching for non-existent tool\"\"\"\n        mock_get_user_id.return_value = (\"user123\", \"tenant456\")\n        mock_search_tool_info.return_value = None\n\n        response = client.post(\n            \"/tool/search\",\n            json={\"agent_id\": 999, \"tool_id\": 999}\n        )\n\n        assert response.status_code == HTTPStatus.OK\n        data = response.json()\n        assert data is None\n\n    @patch('apps.tool_config_app.get_current_user_id')\n    @patch('apps.tool_config_app.update_tool_info_impl')\n    def test_update_tool_info_with_empty_params(self, mock_update_tool_info, mock_get_user_id):\n        \"\"\"Test updating tool with empty parameters\"\"\"\n        mock_get_user_id.return_value = (\"user123\", \"tenant456\")\n        mock_update_tool_info.return_value = {\"updated\": True}\n\n        response = client.post(\n            \"/tool/update\",\n            json={\n                \"agent_id\": 123,\n                \"tool_id\": 456,\n                \"params\": {},\n                \"enabled\": False\n            }\n        )\n\n        assert response.status_code == HTTPStatus.OK\n        data = response.json()\n        assert data[\"updated\"] == True\n\n    def test_invalid_json_payload(self):\n        \"\"\"Test handling of invalid JSON payload\"\"\"\n        response = client.post(\n            \"/tool/search\",\n            data=\"invalid json\",\n            headers={\"content-type\": \"application/json\"}\n        )\n\n        assert response.status_code == HTTPStatus.UNPROCESSABLE_ENTITY\n\n    def test_missing_content_type_header(self):\n        \"\"\"Test POST request without content-type header\"\"\"\n        response = client.post(\n            \"/tool/search\",\n            data='{\"agent_id\": 123, \"tool_id\": 456}'\n        )\n\n        # FastAPI should still parse it correctly\n        assert response.status_code in [\n            HTTPStatus.OK, HTTPStatus.UNPROCESSABLE_ENTITY, HTTPStatus.INTERNAL_SERVER_ERROR]\n\n    @patch('apps.tool_config_app.get_current_user_id')\n    def test_auth_with_invalid_token_format(self, mock_get_user_id):\n        \"\"\"Test authentication with invalid token format\"\"\"\n        mock_get_user_id.side_effect = Exception(\"Invalid token format\")\n\n        response = client.get(\n            \"/tool/list\",\n            headers={\"Authorization\": \"InvalidTokenFormat\"}\n        )\n\n        assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n        data = response.json()\n        assert \"Invalid token format\" in data[\"detail\"]\n\n    @patch('apps.tool_config_app.get_current_user_id')\n    def test_scan_tool_auth_failure(self, mock_get_user_id):\n        \"\"\"Test scan tool with authentication failure\"\"\"\n        mock_get_user_id.side_effect = Exception(\"Authentication failed\")\n\n        response = client.get(\"/tool/scan_tool\")\n\n        assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n        data = response.json()\n        assert \"Failed to update tool\" in data[\"detail\"]\n\n\nclass TestLoadLastToolConfigAPI:\n    \"\"\"Test endpoint for loading last tool configuration\"\"\"\n\n    @patch('apps.tool_config_app.get_current_user_id')\n    @patch('apps.tool_config_app.load_last_tool_config_impl')\n    def test_load_last_tool_config_success(self, mock_load_config, mock_get_user_id):\n        \"\"\"Test successful loading of last tool configuration\"\"\"\n        mock_get_user_id.return_value = (\"user123\", \"tenant456\")\n        mock_load_config.return_value = {\n            \"param1\": \"value1\", \"param2\": \"value2\"}\n\n        response = client.get(\"/tool/load_config/123\")\n\n        assert response.status_code == HTTPStatus.OK\n        data = response.json()\n        assert data[\"status\"] == \"success\"\n        assert data[\"message\"] == {\"param1\": \"value1\", \"param2\": \"value2\"}\n\n        mock_get_user_id.assert_called_once_with(None)\n        mock_load_config.assert_called_once_with(123, \"tenant456\", \"user123\")\n\n    @patch('apps.tool_config_app.get_current_user_id')\n    @patch('apps.tool_config_app.load_last_tool_config_impl')\n    def test_load_last_tool_config_not_found(self, mock_load_config, mock_get_user_id):\n        \"\"\"Test loading tool config when not found\"\"\"\n        mock_get_user_id.return_value = (\"user123\", \"tenant456\")\n        mock_load_config.side_effect = ValueError(\n            \"Tool configuration not found for tool ID: 123\")\n\n        response = client.get(\"/tool/load_config/123\")\n\n        assert response.status_code == HTTPStatus.NOT_FOUND\n        data = response.json()\n        assert \"Tool configuration not found\" in data[\"detail\"]\n\n        mock_get_user_id.assert_called_once_with(None)\n        mock_load_config.assert_called_once_with(123, \"tenant456\", \"user123\")\n\n    @patch('apps.tool_config_app.get_current_user_id')\n    @patch('apps.tool_config_app.load_last_tool_config_impl')\n    def test_load_last_tool_config_service_error(self, mock_load_config, mock_get_user_id):\n        \"\"\"Test service error when loading tool config\"\"\"\n        mock_get_user_id.return_value = (\"user123\", \"tenant456\")\n        mock_load_config.side_effect = Exception(\"Database error\")\n\n        response = client.get(\"/tool/load_config/123\")\n\n        assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n        data = response.json()\n        assert \"Failed to load tool config\" in data[\"detail\"]\n\n        mock_get_user_id.assert_called_once_with(None)\n        mock_load_config.assert_called_once_with(123, \"tenant456\", \"user123\")\n\n    @patch('apps.tool_config_app.get_current_user_id')\n    def test_load_last_tool_config_auth_error(self, mock_get_user_id):\n        \"\"\"Test authentication error when loading tool config\"\"\"\n        mock_get_user_id.side_effect = Exception(\"Auth error\")\n\n        response = client.get(\"/tool/load_config/123\")\n\n        assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n        data = response.json()\n        assert \"Failed to load tool config\" in data[\"detail\"]\n\n    @patch('apps.tool_config_app.get_current_user_id')\n    @patch('apps.tool_config_app.load_last_tool_config_impl')\n    def test_load_last_tool_config_with_authorization_header(self, mock_load_config, mock_get_user_id):\n        \"\"\"Test loading tool config with authorization header\"\"\"\n        mock_get_user_id.return_value = (\"user123\", \"tenant456\")\n        mock_load_config.return_value = {\"param1\": \"value1\"}\n\n        response = client.get(\n            \"/tool/load_config/123\",\n            headers={\"Authorization\": \"Bearer test_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.OK\n        mock_get_user_id.assert_called_with(\"Bearer test_token\")\n\n\nclass TestDataValidation:\n    \"\"\"Data validation tests\"\"\"\n\n    def test_search_tool_negative_ids(self):\n        \"\"\"Test search with negative IDs\"\"\"\n        response = client.post(\n            \"/tool/search\",\n            json={\"agent_id\": -1, \"tool_id\": -1}\n        )\n\n        # Should still pass validation but may fail in business logic\n        assert response.status_code in [\n            HTTPStatus.OK, HTTPStatus.INTERNAL_SERVER_ERROR]\n\n    def test_update_tool_invalid_data_types(self):\n        \"\"\"Test update with invalid data types\"\"\"\n        response = client.post(\n            \"/tool/update\",\n            json={\n                \"agent_id\": \"not_an_int\",\n                \"tool_id\": \"not_an_int\",\n                \"params\": \"not_a_dict\",\n                \"enabled\": \"not_a_bool\"\n            }\n        )\n\n        assert response.status_code == HTTPStatus.UNPROCESSABLE_ENTITY\n\n    def test_search_tool_missing_required_fields(self):\n        \"\"\"Test search with missing required fields\"\"\"\n        # Missing tool_id\n        response = client.post(\n            \"/tool/search\",\n            json={\"agent_id\": 123}\n        )\n        assert response.status_code == HTTPStatus.UNPROCESSABLE_ENTITY\n\n        # Missing agent_id\n        response = client.post(\n            \"/tool/search\",\n            json={\"tool_id\": 456}\n        )\n        assert response.status_code == HTTPStatus.UNPROCESSABLE_ENTITY\n\n    def test_update_tool_missing_required_fields(self):\n        \"\"\"Test update with missing required fields\"\"\"\n        # Missing enabled field\n        response = client.post(\n            \"/tool/update\",\n            json={\n                \"agent_id\": 123,\n                \"tool_id\": 456,\n                \"params\": {}\n            }\n        )\n        assert response.status_code == HTTPStatus.UNPROCESSABLE_ENTITY\n\n\nclass TestConcurrency:\n    \"\"\"Concurrency and performance tests\"\"\"\n\n    @patch('apps.tool_config_app.get_current_user_id')\n    @patch('apps.tool_config_app.list_all_tools')\n    def test_multiple_simultaneous_requests(self, mock_list_all_tools, mock_get_user_id):\n        \"\"\"Test handling multiple simultaneous requests\"\"\"\n        mock_get_user_id.return_value = (\"user123\", \"tenant456\")\n        mock_list_all_tools.return_value = [{\"id\": 1, \"name\": \"Tool1\"}]\n\n        # Simulate multiple simultaneous requests\n        responses = []\n        for _ in range(5):\n            response = client.get(\"/tool/list\")\n            responses.append(response)\n\n        # All requests should succeed\n        for response in responses:\n            assert response.status_code == HTTPStatus.OK\n            data = response.json()\n            assert len(data) == 1\n            assert data[0][\"name\"] == \"Tool1\"\n\n\nif __name__ == \"__main__\":\n    pytest.main([__file__])\n"
  },
  {
    "path": "test/backend/app/test_user_app.py",
    "content": "import pytest\nfrom unittest.mock import patch, MagicMock, AsyncMock\nimport sys\nimport os\n\n# Add path for correct imports\nsys.path.insert(0, os.path.join(os.path.dirname(__file__), \"../../../backend\"))\n\n# Mock external dependencies\nsys.modules['boto3'] = MagicMock()\nsys.modules['nexent'] = MagicMock()\nsys.modules['nexent.core'] = MagicMock()\nsys.modules['nexent.core.agents'] = MagicMock()\n# Create a mock ToolConfig class\nfrom pydantic import BaseModel\n\n\nclass MockToolConfig(BaseModel):\n    name: str = \"\"\n    description: str = \"\"\n    parameters: dict = {}\n\n\nsys.modules['nexent.core.agents.agent_model'] = MagicMock()\nsys.modules['nexent.core.agents.agent_model'].ToolConfig = MockToolConfig\nsys.modules['nexent.storage'] = MagicMock()\nsys.modules['nexent.storage.storage_client_factory'] = MagicMock()\nsys.modules['nexent.storage.minio_config'] = MagicMock()\n\n# Mock for memory_service import used in delete_user_and_cleanup\nnexent_memory_service = MagicMock()\nsys.modules['nexent.memory'] = MagicMock()\nsys.modules['nexent.memory.memory_service'] = nexent_memory_service\n\n# Patch storage factory and MinIO config validation to avoid errors during initialization\nstorage_client_mock = MagicMock()\nminio_mock = MagicMock()\nminio_mock._ensure_bucket_exists = MagicMock()\nminio_mock.client = MagicMock()\npatch('nexent.storage.storage_client_factory.create_storage_client_from_config', return_value=storage_client_mock).start()\npatch('nexent.storage.minio_config.MinIOStorageConfig.validate', lambda self: None).start()\npatch('backend.database.client.MinioClient', return_value=minio_mock).start()\npatch('database.client.MinioClient', return_value=minio_mock).start()\n\n# Import exception classes\nfrom consts.exceptions import NotFoundException, ValidationError, UnauthorizedError\n\n# Import the modules we need\nfrom fastapi.testclient import TestClient\nfrom http import HTTPStatus\nfrom fastapi import FastAPI\n\n# Create a test client with a fresh FastAPI app\nfrom apps.user_app import router\n\napp = FastAPI()\napp.include_router(router)\nclient = TestClient(app)\n\n\nclass TestGetUsersEndpoint:\n    \"\"\"Test get_users_endpoint (POST /users/list)\"\"\"\n\n    def test_get_users_success_with_pagination(self):\n        \"\"\"Test successful user list retrieval with pagination\"\"\"\n        with patch('apps.user_app.get_users') as mock_get_users:\n            mock_get_users.return_value = {\n                \"users\": [\n                    {\"id\": \"user1\", \"username\": \"user1@example.com\", \"role\": \"USER\", \"tenant_id\": \"tenant1\"},\n                    {\"id\": \"user2\", \"username\": \"user2@example.com\", \"role\": \"ADMIN\", \"tenant_id\": \"tenant1\"}\n                ],\n                \"total\": 2,\n                \"page\": 1,\n                \"page_size\": 20,\n                \"total_pages\": 1\n            }\n\n            response = client.post(\n                \"/users/list\",\n                json={\"tenant_id\": \"tenant1\", \"page\": 1, \"page_size\": 20, \"sort_by\": \"created_at\", \"sort_order\": \"desc\"}\n            )\n\n            assert response.status_code == HTTPStatus.OK\n            data = response.json()\n            assert data[\"message\"] == \"Users retrieved successfully\"\n            assert len(data[\"data\"]) == 2\n            assert data[\"total\"] == 2\n            assert data[\"pagination\"][\"total\"] == 2\n            assert data[\"pagination\"][\"page\"] == 1\n            assert data[\"pagination\"][\"page_size\"] == 20\n            assert data[\"pagination\"][\"total_pages\"] == 1\n            mock_get_users.assert_called_once_with(\"tenant1\", 1, 20, \"created_at\", \"desc\")\n\n    def test_get_users_success_without_pagination(self):\n        \"\"\"Test successful user list retrieval without pagination (returns all data)\"\"\"\n        with patch('apps.user_app.get_users') as mock_get_users:\n            mock_get_users.return_value = {\n                \"users\": [\n                    {\"id\": \"user1\", \"username\": \"user1@example.com\", \"role\": \"USER\", \"tenant_id\": \"tenant1\"},\n                    {\"id\": \"user2\", \"username\": \"user2@example.com\", \"role\": \"ADMIN\", \"tenant_id\": \"tenant1\"},\n                    {\"id\": \"user3\", \"username\": \"user3@example.com\", \"role\": \"USER\", \"tenant_id\": \"tenant1\"}\n                ],\n                \"total\": 3\n            }\n\n            response = client.post(\n                \"/users/list\",\n                json={\"tenant_id\": \"tenant1\"}\n            )\n\n            assert response.status_code == HTTPStatus.OK\n            data = response.json()\n            assert data[\"message\"] == \"Users retrieved successfully\"\n            assert len(data[\"data\"]) == 3\n            assert data[\"total\"] == 3\n            assert \"pagination\" not in data\n            mock_get_users.assert_called_once_with(\"tenant1\", None, None, \"created_at\", \"desc\")\n\n    def test_get_users_success_with_only_page(self):\n        \"\"\"Test user list retrieval with only page parameter (no pagination info in response)\"\"\"\n        with patch('apps.user_app.get_users') as mock_get_users:\n            mock_get_users.return_value = {\n                \"users\": [\n                    {\"id\": \"user1\", \"username\": \"user1@example.com\", \"role\": \"USER\", \"tenant_id\": \"tenant1\"}\n                ],\n                \"total\": 1\n            }\n\n            response = client.post(\n                \"/users/list\",\n                json={\"tenant_id\": \"tenant1\", \"page\": 1}\n            )\n\n            assert response.status_code == HTTPStatus.OK\n            data = response.json()\n            assert data[\"message\"] == \"Users retrieved successfully\"\n            assert \"pagination\" not in data\n\n    def test_get_users_success_with_only_page_size(self):\n        \"\"\"Test user list retrieval with only page_size parameter (no pagination info in response)\"\"\"\n        with patch('apps.user_app.get_users') as mock_get_users:\n            mock_get_users.return_value = {\n                \"users\": [\n                    {\"id\": \"user1\", \"username\": \"user1@example.com\", \"role\": \"USER\", \"tenant_id\": \"tenant1\"}\n                ],\n                \"total\": 1\n            }\n\n            response = client.post(\n                \"/users/list\",\n                json={\"tenant_id\": \"tenant1\", \"page_size\": 20}\n            )\n\n            assert response.status_code == HTTPStatus.OK\n            data = response.json()\n            assert data[\"message\"] == \"Users retrieved successfully\"\n            assert \"pagination\" not in data\n\n    def test_get_users_success_with_asc_sort(self):\n        \"\"\"Test successful user list retrieval with ascending sort order\"\"\"\n        with patch('apps.user_app.get_users') as mock_get_users:\n            mock_get_users.return_value = {\n                \"users\": [\n                    {\"id\": \"user1\", \"username\": \"user1@example.com\", \"role\": \"USER\", \"tenant_id\": \"tenant1\"}\n                ],\n                \"total\": 1,\n                \"page\": 1,\n                \"page_size\": 20,\n                \"total_pages\": 1\n            }\n\n            response = client.post(\n                \"/users/list\",\n                json={\"tenant_id\": \"tenant1\", \"page\": 1, \"page_size\": 20, \"sort_by\": \"created_at\", \"sort_order\": \"asc\"}\n            )\n\n            assert response.status_code == HTTPStatus.OK\n            data = response.json()\n            assert data[\"message\"] == \"Users retrieved successfully\"\n            mock_get_users.assert_called_once_with(\"tenant1\", 1, 20, \"created_at\", \"asc\")\n\n    def test_get_users_empty_list(self):\n        \"\"\"Test user list retrieval with no users\"\"\"\n        with patch('apps.user_app.get_users') as mock_get_users:\n            mock_get_users.return_value = {\n                \"users\": [],\n                \"total\": 0,\n                \"page\": 1,\n                \"page_size\": 20,\n                \"total_pages\": 0\n            }\n\n            response = client.post(\n                \"/users/list\",\n                json={\"tenant_id\": \"tenant1\", \"page\": 1, \"page_size\": 20}\n            )\n\n            assert response.status_code == HTTPStatus.OK\n            data = response.json()\n            assert data[\"message\"] == \"Users retrieved successfully\"\n            assert len(data[\"data\"]) == 0\n            assert data[\"pagination\"][\"total\"] == 0\n\n    def test_get_users_with_custom_pagination(self):\n        \"\"\"Test user list retrieval with custom pagination (multiple pages)\"\"\"\n        with patch('apps.user_app.get_users') as mock_get_users:\n            mock_get_users.return_value = {\n                \"users\": [\n                    {\"id\": \"user1\", \"username\": \"user1@example.com\", \"role\": \"USER\", \"tenant_id\": \"tenant1\"}\n                ],\n                \"total\": 25,\n                \"page\": 2,\n                \"page_size\": 10,\n                \"total_pages\": 3\n            }\n\n            response = client.post(\n                \"/users/list\",\n                json={\"tenant_id\": \"tenant1\", \"page\": 2, \"page_size\": 10}\n            )\n\n            assert response.status_code == HTTPStatus.OK\n            data = response.json()\n            assert data[\"pagination\"][\"page\"] == 2\n            assert data[\"pagination\"][\"page_size\"] == 10\n            assert data[\"pagination\"][\"total\"] == 25\n            assert data[\"pagination\"][\"total_pages\"] == 3\n            mock_get_users.assert_called_once_with(\"tenant1\", 2, 10, \"created_at\", \"desc\")\n\n    def test_get_users_with_missing_total_pages(self):\n        \"\"\"Test user list retrieval when total_pages is missing (should calculate it)\"\"\"\n        with patch('apps.user_app.get_users') as mock_get_users:\n            mock_get_users.return_value = {\n                \"users\": [\n                    {\"id\": \"user1\", \"username\": \"user1@example.com\", \"role\": \"USER\", \"tenant_id\": \"tenant1\"}\n                ],\n                \"total\": 25,\n                \"page\": 2,\n                \"page_size\": 10\n                # total_pages is missing\n            }\n\n            response = client.post(\n                \"/users/list\",\n                json={\"tenant_id\": \"tenant1\", \"page\": 2, \"page_size\": 10}\n            )\n\n            assert response.status_code == HTTPStatus.OK\n            data = response.json()\n            assert data[\"pagination\"][\"total_pages\"] == 3  # Calculated: ceil(25/10) = 3\n\n    def test_get_users_unexpected_error(self):\n        \"\"\"Test user list retrieval with unexpected error\"\"\"\n        with patch('apps.user_app.get_users') as mock_get_users:\n            mock_get_users.side_effect = Exception(\"Database connection failed\")\n\n            response = client.post(\n                \"/users/list\",\n                json={\"tenant_id\": \"tenant1\", \"page\": 1, \"page_size\": 20}\n            )\n\n            assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n            data = response.json()\n            assert \"Failed to retrieve users\" in data[\"detail\"]\n            assert \"Database connection failed\" in data[\"detail\"]\n\n\nclass TestUpdateUserEndpoint:\n    \"\"\"Test update_user_endpoint (PUT /users/{user_id})\"\"\"\n\n    def test_update_user_success(self):\n        \"\"\"Test successful user update\"\"\"\n        with patch('apps.user_app.get_current_user_id') as mock_get_user_id, \\\n             patch('apps.user_app.update_user') as mock_update_user:\n\n            mock_get_user_id.return_value = (\"updater123\", \"tenant1\")\n            mock_update_user.return_value = {\n                \"id\": \"user1\",\n                \"username\": \"user1@example.com\",\n                \"role\": \"ADMIN\"\n            }\n\n            response = client.put(\n                \"/users/user1\",\n                json={\"role\": \"ADMIN\"},\n                headers={\"Authorization\": \"Bearer token123\"}\n            )\n\n            assert response.status_code == HTTPStatus.OK\n            data = response.json()\n            assert data[\"message\"] == \"User updated successfully\"\n            assert data[\"data\"][\"id\"] == \"user1\"\n            assert data[\"data\"][\"role\"] == \"ADMIN\"\n            mock_get_user_id.assert_called_once_with(\"Bearer token123\")\n            # Pydantic model includes all fields with None defaults\n            mock_update_user.assert_called_once_with(\"user1\", {\"username\": None, \"email\": None, \"role\": \"ADMIN\"}, \"updater123\")\n\n    def test_update_user_validation_error(self):\n        \"\"\"Test user update with validation error\"\"\"\n        with patch('apps.user_app.get_current_user_id') as mock_get_user_id, \\\n             patch('apps.user_app.update_user') as mock_update_user:\n\n            mock_get_user_id.return_value = (\"updater123\", \"tenant1\")\n            mock_update_user.side_effect = ValueError(\"Invalid role. Must be one of: ADMIN, DEV, USER\")\n\n            response = client.put(\n                \"/users/user1\",\n                json={\"role\": \"INVALID_ROLE\"},\n                headers={\"Authorization\": \"Bearer token123\"}\n            )\n\n            # Pydantic validation catches invalid role pattern before reaching service\n            assert response.status_code == HTTPStatus.UNPROCESSABLE_ENTITY\n            data = response.json()\n            # The error message will be from Pydantic validation\n            assert \"detail\" in data\n\n    def test_update_user_unexpected_error(self):\n        \"\"\"Test user update with unexpected error\"\"\"\n        with patch('apps.user_app.get_current_user_id') as mock_get_user_id, \\\n             patch('apps.user_app.update_user') as mock_update_user:\n\n            mock_get_user_id.return_value = (\"updater123\", \"tenant1\")\n            mock_update_user.side_effect = Exception(\"Database connection failed\")\n\n            response = client.put(\n                \"/users/user1\",\n                json={\"role\": \"ADMIN\"},\n                headers={\"Authorization\": \"Bearer token123\"}\n            )\n\n            assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n            data = response.json()\n            assert \"Failed to update user\" in data[\"detail\"]\n            assert \"Database connection failed\" in data[\"detail\"]\n\n\nclass TestDeleteUserEndpoint:\n    \"\"\"Test delete_user_endpoint (DELETE /users/{user_id})\"\"\"\n\n    def test_delete_user_success(self):\n        \"\"\"Test successful user deletion with complete cleanup\"\"\"\n        with patch('apps.user_app.get_current_user_id') as mock_get_user_id, \\\n             patch('apps.user_app.get_user_tenant_by_user_id') as mock_get_tenant, \\\n             patch('apps.user_app.delete_user_and_cleanup') as mock_cleanup:\n\n            mock_get_user_id.return_value = (\"deleter123\", \"tenant1\")\n            mock_get_tenant.return_value = {\"tenant_id\": \"tenant1\", \"user_id\": \"user1\", \"user_email\": \"user1@example.com\"}\n            mock_cleanup.return_value = None\n\n            response = client.delete(\n                \"/users/user1\",\n                headers={\"Authorization\": \"Bearer token123\"}\n            )\n\n            assert response.status_code == HTTPStatus.OK\n            data = response.json()\n            assert data[\"message\"] == \"User deleted successfully\"\n            mock_get_user_id.assert_called_once_with(\"Bearer token123\")\n            mock_get_tenant.assert_called_once_with(\"user1\")\n            mock_cleanup.assert_called_once_with(\"user1\", \"tenant1\")\n\n    def test_delete_user_validation_error(self):\n        \"\"\"Test user deletion with user not found\"\"\"\n        with patch('apps.user_app.get_current_user_id') as mock_get_user_id, \\\n             patch('apps.user_app.get_user_tenant_by_user_id') as mock_get_tenant:\n\n            mock_get_user_id.return_value = (\"deleter123\", \"tenant1\")\n            mock_get_tenant.return_value = None  # User not found\n\n            response = client.delete(\n                \"/users/user1\",\n                headers={\"Authorization\": \"Bearer token123\"}\n            )\n\n            assert response.status_code == HTTPStatus.BAD_REQUEST\n            data = response.json()\n            assert \"User user1 not found\" in data[\"detail\"]\n\n    def test_delete_user_unexpected_error(self):\n        \"\"\"Test user deletion with unexpected error\"\"\"\n        with patch('apps.user_app.get_current_user_id') as mock_get_user_id, \\\n             patch('apps.user_app.get_user_tenant_by_user_id') as mock_get_tenant, \\\n             patch('apps.user_app.delete_user_and_cleanup') as mock_cleanup:\n\n            mock_get_user_id.return_value = (\"deleter123\", \"tenant1\")\n            mock_get_tenant.return_value = {\"tenant_id\": \"tenant1\", \"user_id\": \"user1\", \"user_email\": \"user1@example.com\"}\n            mock_cleanup.side_effect = Exception(\"Database connection failed\")\n\n            response = client.delete(\n                \"/users/user1\",\n                headers={\"Authorization\": \"Bearer token123\"}\n            )\n\n            assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n            data = response.json()\n            assert \"Failed to delete user\" in data[\"detail\"]\n            assert \"Database connection failed\" in data[\"detail\"]\n\n\nclass TestDataValidation:\n    \"\"\"Test data validation for user endpoints\"\"\"\n\n    def test_list_users_invalid_page(self):\n        \"\"\"Test list users with invalid page number\"\"\"\n        response = client.post(\n            \"/users/list\",\n            json={\"tenant_id\": \"tenant1\", \"page\": 0, \"page_size\": 20}\n        )\n\n        assert response.status_code == HTTPStatus.UNPROCESSABLE_ENTITY\n\n    def test_list_users_invalid_page_size(self):\n        \"\"\"Test list users with invalid page size\"\"\"\n        response = client.post(\n            \"/users/list\",\n            json={\"tenant_id\": \"tenant1\", \"page\": 1, \"page_size\": 0}\n        )\n\n        assert response.status_code == HTTPStatus.UNPROCESSABLE_ENTITY\n\n    def test_list_users_page_size_too_large(self):\n        \"\"\"Test list users with page size too large\"\"\"\n        response = client.post(\n            \"/users/list\",\n            json={\"tenant_id\": \"tenant1\", \"page\": 1, \"page_size\": 101}\n        )\n\n        assert response.status_code == HTTPStatus.UNPROCESSABLE_ENTITY\n\n    def test_update_user_invalid_role(self):\n        \"\"\"Test update user with invalid role pattern\"\"\"\n        with patch('apps.user_app.get_current_user_id') as mock_get_user_id:\n            mock_get_user_id.return_value = (\"updater123\", \"tenant1\")\n\n            response = client.put(\n                \"/users/user1\",\n                json={\"role\": \"invalid_role\"},\n                headers={\"Authorization\": \"Bearer token123\"}\n            )\n\n            # Pydantic validation catches invalid role pattern and returns 422\n            assert response.status_code == HTTPStatus.UNPROCESSABLE_ENTITY\n\n    def test_update_user_empty_update_data(self):\n        \"\"\"Test update user with empty update data\"\"\"\n        with patch('apps.user_app.get_current_user_id') as mock_get_user_id, \\\n             patch('apps.user_app.update_user') as mock_update_user:\n\n            mock_get_user_id.return_value = (\"updater123\", \"tenant1\")\n            mock_update_user.return_value = {\n                \"id\": \"user1\",\n                \"username\": \"user1@example.com\",\n                \"role\": \"USER\"\n            }\n\n            response = client.put(\n                \"/users/user1\",\n                json={},  # Empty update data\n                headers={\"Authorization\": \"Bearer token123\"}\n            )\n\n            assert response.status_code == HTTPStatus.OK\n            # Pydantic model converts empty dict to dict with None values for all optional fields\n            mock_update_user.assert_called_once_with(\"user1\", {\"username\": None, \"email\": None, \"role\": None}, \"updater123\")\n\n\nif __name__ == \"__main__\":\n    pytest.main([__file__])\n"
  },
  {
    "path": "test/backend/app/test_user_management_app.py",
    "content": "import pytest\nfrom unittest.mock import patch, MagicMock, AsyncMock\nimport unittest\nimport sys\nimport os\n\n# Add path for correct imports\nsys.path.insert(0, os.path.join(os.path.dirname(__file__), \"../../../backend\"))\n\n# Mock external dependencies\nsys.modules['boto3'] = MagicMock()\n\n# Apply critical patches before importing any modules\n# This prevents real AWS/MinIO/Elasticsearch calls during import\npatch('botocore.client.BaseClient._make_api_call', return_value={}).start()\n\n# Patch storage factory and MinIO config validation to avoid errors during initialization\n# These patches must be started before any imports that use MinioClient\nstorage_client_mock = MagicMock()\nminio_mock = MagicMock()\nminio_mock._ensure_bucket_exists = MagicMock()\nminio_mock.client = MagicMock()\npatch('nexent.storage.storage_client_factory.create_storage_client_from_config', return_value=storage_client_mock).start()\npatch('nexent.storage.minio_config.MinIOStorageConfig.validate', lambda self: None).start()\npatch('backend.database.client.MinioClient', return_value=minio_mock).start()\npatch('database.client.MinioClient', return_value=minio_mock).start()\npatch('backend.database.client.minio_client', minio_mock).start()\npatch('elasticsearch.Elasticsearch', return_value=MagicMock()).start()\n\n# Import exception classes\nfrom consts.exceptions import NoInviteCodeException, IncorrectInviteCodeException, UserRegistrationException, UnauthorizedError\nfrom supabase_auth.errors import AuthApiError, AuthWeakPasswordError\n\n# Import the modules we need\nfrom fastapi.testclient import TestClient\nfrom http import HTTPStatus\nfrom fastapi import FastAPI\nfrom fastapi import HTTPException\n\n# Create a test client with a fresh FastAPI app\nfrom apps.user_management_app import router\n\napp = FastAPI()\napp.include_router(router)\nclient = TestClient(app)\n\n\nclass MockUser:\n    \"\"\"Mock User class for testing\"\"\"\n    \n    def __init__(self, user_id, email):\n        self.id = user_id\n        self.email = email\n\n\nclass TestServiceHealth:\n    \"\"\"Test service health endpoint\"\"\"\n\n    @patch('apps.user_management_app.check_auth_service_health')\n    def test_service_health_available(self, mock_health_check):\n        \"\"\"Test when auth service is available\"\"\"\n        mock_health_check.return_value = True\n\n        response = client.get(\"/user/service_health\")\n\n        assert response.status_code == HTTPStatus.OK\n        data = response.json()\n        assert data[\"message\"] == \"Auth service is available\"\n        mock_health_check.assert_called_once()\n\n    @patch('apps.user_management_app.check_auth_service_health')\n    def test_service_health_unavailable(self, mock_health_check):\n        \"\"\"Test when auth service is unavailable\"\"\"\n        mock_health_check.side_effect = ConnectionError(\"Connection failed\")\n\n        response = client.get(\"/user/service_health\")\n\n        assert response.status_code == HTTPStatus.SERVICE_UNAVAILABLE\n        data = response.json()\n        assert data[\"detail\"] == \"Auth service is unavailable\"\n        mock_health_check.assert_called_once()\n\n    @patch('apps.user_management_app.check_auth_service_health')\n    def test_service_health_exception(self, mock_health_check):\n        \"\"\"Test when health check raises exception\"\"\"\n        mock_health_check.side_effect = Exception(\"Connection error\")\n\n        response = client.get(\"/user/service_health\")\n\n        assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n        data = response.json()\n        assert data[\"detail\"] == \"Auth service is unavailable\"\n        mock_health_check.assert_called_once()\n\n\nclass TestUserSignup:\n    \"\"\"Test user signup endpoint\"\"\"\n\n    def test_signup_success_regular_user(self):\n        \"\"\"Test successful regular user registration\"\"\"\n        with patch('apps.user_management_app.signup_user_with_invitation') as mock_signup:\n            mock_signup.return_value = {\"user_id\": \"123\", \"email\": \"test@example.com\"}\n\n            response = client.post(\n                \"/user/signup\",\n                json={\n                    \"email\": \"test@example.com\",\n                    \"password\": \"password123\",\n                    \"invite_code\": None\n                }\n            )\n\n            assert response.status_code == HTTPStatus.OK\n            data = response.json()\n            assert \"registered successfully\" in data[\"message\"]\n            assert \"data\" in data\n            mock_signup.assert_called_once_with(\n                email=\"test@example.com\",\n                password=\"password123\",\n                invite_code=None,\n                auto_login=True\n            )\n\n    def test_signup_success_regular_user_with_auto_login_false(self):\n        \"\"\"Test successful regular user registration with auto_login=false\"\"\"\n        with patch('apps.user_management_app.signup_user_with_invitation') as mock_signup:\n            mock_signup.return_value = {\"user_id\": \"123\", \"email\": \"test@example.com\"}\n\n            response = client.post(\n                \"/user/signup\",\n                json={\n                    \"email\": \"test@example.com\",\n                    \"password\": \"password123\",\n                    \"invite_code\": None,\n                    \"auto_login\": False\n                }\n            )\n\n            assert response.status_code == HTTPStatus.OK\n            data = response.json()\n            assert \"registered successfully\" in data[\"message\"]\n            assert \"data\" in data\n            mock_signup.assert_called_once_with(\n                email=\"test@example.com\",\n                password=\"password123\",\n                invite_code=None,\n                auto_login=False\n            )\n\n    def test_signup_success_admin_user(self):\n        \"\"\"Test successful admin user registration\"\"\"\n        with patch('apps.user_management_app.signup_user_with_invitation') as mock_signup:\n            mock_signup.return_value = {\"user_id\": \"123\", \"email\": \"admin@example.com\"}\n\n            response = client.post(\n                \"/user/signup\",\n                json={\n                    \"email\": \"admin@example.com\",\n                    \"password\": \"password123\",\n                    \"invite_code\": \"admin_code\"\n                }\n            )\n\n            assert response.status_code == HTTPStatus.OK\n            data = response.json()\n            assert \"🎉 User account registered successfully! Please start experiencing the AI assistant service.\" in data[\"message\"]\n            assert \"data\" in data\n            mock_signup.assert_called_once_with(\n                email=\"admin@example.com\",\n                password=\"password123\",\n                invite_code=\"admin_code\",\n                auto_login=True\n            )\n\n    def test_signup_success_admin_user_with_auto_login_false(self):\n        \"\"\"Test successful admin user registration with auto_login=false (tenant management scenario)\"\"\"\n        with patch('apps.user_management_app.signup_user_with_invitation') as mock_signup:\n            mock_signup.return_value = {\"user_id\": \"123\", \"email\": \"admin@example.com\"}\n\n            response = client.post(\n                \"/user/signup\",\n                json={\n                    \"email\": \"admin@example.com\",\n                    \"password\": \"password123\",\n                    \"invite_code\": \"admin_code\",\n                    \"auto_login\": False\n                }\n            )\n\n            assert response.status_code == HTTPStatus.OK\n            data = response.json()\n            assert \"registered successfully\" in data[\"message\"]\n            mock_signup.assert_called_once_with(\n                email=\"admin@example.com\",\n                password=\"password123\",\n                invite_code=\"admin_code\",\n                auto_login=False\n            )\n\n    def test_signup_no_invite_code_exception(self):\n        \"\"\"Test registration fails due to missing invite code\"\"\"\n        with patch('apps.user_management_app.signup_user_with_invitation') as mock_signup:\n            mock_signup.side_effect = NoInviteCodeException(\"No invite code configured\")\n\n            response = client.post(\n                \"/user/signup\",\n                json={\n                    \"email\": \"admin@example.com\",\n                    \"password\": \"password123\",\n                    \"invite_code\": None\n                }\n            )\n\n            assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n            data = response.json()\n            assert data[\"detail\"] == \"INVITE_CODE_NOT_CONFIGURED\"\n\n    def test_signup_incorrect_invite_code_exception(self):\n        \"\"\"Test registration fails due to incorrect invite code\"\"\"\n        with patch('apps.user_management_app.signup_user_with_invitation') as mock_signup:\n            mock_signup.side_effect = IncorrectInviteCodeException(\"Invalid invite code\")\n\n            response = client.post(\n                \"/user/signup\",\n                json={\n                    \"email\": \"admin@example.com\",\n                    \"password\": \"password123\",\n                    \"invite_code\": \"wrong_code\"\n                }\n            )\n\n            assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n            data = response.json()\n            assert data[\"detail\"] == \"INVITE_CODE_INVALID\"\n\n    def test_signup_registration_service_exception(self):\n        \"\"\"Test registration fails due to service error\"\"\"\n        with patch('apps.user_management_app.signup_user_with_invitation') as mock_signup:\n            mock_signup.side_effect = UserRegistrationException(\"Service error\")\n\n            response = client.post(\n                \"/user/signup\",\n                json={\n                    \"email\": \"test@example.com\",\n                    \"password\": \"password123\",\n                    \"invite_code\": None\n                }\n            )\n\n            assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n            data = response.json()\n            assert data[\"detail\"] == \"REGISTRATION_SERVICE_ERROR\"\n\n    def test_signup_email_already_exists(self):\n        \"\"\"Test registration fails due to email already existing\"\"\"\n        with patch('apps.user_management_app.signup_user_with_invitation') as mock_signup:\n            mock_signup.side_effect = AuthApiError(\"Email already exists\", 400, \"email_exists\")\n\n            response = client.post(\n                \"/user/signup\",\n                json={\n                    \"email\": \"existing@example.com\",\n                    \"password\": \"password123\",\n                    \"invite_code\": None\n                }\n            )\n\n            assert response.status_code == HTTPStatus.CONFLICT\n            data = response.json()\n            assert data[\"detail\"] == \"EMAIL_ALREADY_EXISTS\"\n\n    def test_signup_weak_password(self):\n        \"\"\"Test registration fails due to weak password\"\"\"\n        with patch('apps.user_management_app.signup_user_with_invitation') as mock_signup:\n            mock_signup.side_effect = AuthWeakPasswordError(\"Password too weak\", 400, [\"Password is too weak\"])\n\n            response = client.post(\n                \"/user/signup\",\n                json={\n                    \"email\": \"test@example.com\",\n                    \"password\": \"weakpass\",\n                    \"invite_code\": None\n                }\n            )\n\n            assert response.status_code == HTTPStatus.NOT_ACCEPTABLE\n            data = response.json()\n            assert data[\"detail\"] == \"WEAK_PASSWORD\"\n\n    def test_signup_unknown_error(self):\n        \"\"\"Test registration fails due to unknown error\"\"\"\n        with patch('apps.user_management_app.signup_user_with_invitation') as mock_signup:\n            mock_signup.side_effect = Exception(\"Unknown error\")\n\n            response = client.post(\n                \"/user/signup\",\n                json={\n                    \"email\": \"test@example.com\",\n                    \"password\": \"password123\",\n                    \"invite_code\": None\n                }\n            )\n\n            assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n            data = response.json()\n            assert data[\"detail\"] == \"UNKNOWN_ERROR\"\n\n\nclass TestUserSignin:\n    \"\"\"Test user signin endpoint\"\"\"\n\n    def test_signin_success(self):\n        \"\"\"Test successful user login\"\"\"\n        with patch('apps.user_management_app.signin_user') as mock_signin:\n            mock_signin.return_value = {\n                \"message\": \"Login successful\",\n                \"data\": {\"access_token\": \"token123\", \"user_id\": \"123\"}\n            }\n\n            response = client.post(\n                \"/user/signin\",\n                json={\n                    \"email\": \"test@example.com\",\n                    \"password\": \"password123\"\n                }\n            )\n\n            assert response.status_code == HTTPStatus.OK\n            data = response.json()\n            assert data[\"message\"] == \"Login successful\"\n            assert \"access_token\" in data[\"data\"]\n            mock_signin.assert_called_once_with(\n                email=\"test@example.com\",\n                password=\"password123\"\n            )\n\n    def test_signin_invalid_credentials(self):\n        \"\"\"Test login with invalid credentials\"\"\"\n        with patch('apps.user_management_app.signin_user') as mock_signin:\n            mock_signin.side_effect = AuthApiError(\"Invalid credentials\", 400, \"invalid_credentials\")\n\n            response = client.post(\n                \"/user/signin\",\n                json={\n                    \"email\": \"test@example.com\",\n                    \"password\": \"wrong_password\"\n                }\n            )\n\n            assert response.status_code == HTTPStatus.UNAUTHORIZED\n            data = response.json()\n            assert data[\"detail\"] == \"Email or password error\"\n\n    def test_signin_unknown_error(self):\n        \"\"\"Test login with unknown error\"\"\"\n        with patch('apps.user_management_app.signin_user') as mock_signin:\n            mock_signin.side_effect = Exception(\"Database error\")\n\n            response = client.post(\n                \"/user/signin\",\n                json={\n                    \"email\": \"test@example.com\",\n                    \"password\": \"password123\"\n                }\n            )\n\n            assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n            data = response.json()\n            assert data[\"detail\"] == \"Login failed\"\n\n\nclass TestRefreshToken:\n    \"\"\"Test refresh token endpoint\"\"\"\n\n    def test_refresh_token_success(self):\n        \"\"\"Test successful token refresh\"\"\"\n        with patch('apps.user_management_app.refresh_user_token') as mock_refresh:\n            mock_refresh.return_value = {\"access_token\": \"new_token\", \"refresh_token\": \"new_refresh\"}\n\n            response = client.post(\n                \"/user/refresh_token\",\n                json={\"refresh_token\": \"old_refresh_token\"},\n                headers={\"Authorization\": \"Bearer old_token\"}\n            )\n\n            assert response.status_code == HTTPStatus.OK\n            data = response.json()\n            assert data[\"message\"] == \"Token refresh successful\"\n            assert \"session\" in data[\"data\"]\n            mock_refresh.assert_called_once_with(\"Bearer old_token\", \"old_refresh_token\")\n\n    def test_refresh_token_no_authorization(self):\n        \"\"\"Test token refresh without authorization header\"\"\"\n        response = client.post(\n            \"/user/refresh_token\",\n            json={\"refresh_token\": \"refresh_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.UNAUTHORIZED\n        data = response.json()\n        assert data[\"detail\"] == \"No authorization token provided\"\n\n    def test_refresh_token_no_refresh_token(self):\n        \"\"\"Test token refresh without refresh token in body\"\"\"\n        response = client.post(\n            \"/user/refresh_token\",\n            json={},\n            headers={\"Authorization\": \"Bearer token\"}\n        )\n\n        assert response.status_code == HTTPStatus.UNPROCESSABLE_ENTITY\n        data = response.json()\n        assert data[\"detail\"] == \"No refresh token provided\"\n\n    def test_refresh_token_error(self):\n        \"\"\"Test token refresh with error\"\"\"\n        with patch('apps.user_management_app.refresh_user_token') as mock_refresh:\n            mock_refresh.side_effect = Exception(\"Refresh failed\")\n\n            response = client.post(\n                \"/user/refresh_token\",\n                json={\"refresh_token\": \"refresh_token\"},\n                headers={\"Authorization\": \"Bearer token\"}\n            )\n\n            assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n            data = response.json()\n            assert data[\"detail\"] == \"Refresh token failed\"\n\n\nclass TestLogout:\n    \"\"\"Test logout endpoint\"\"\"\n\n    @patch('apps.user_management_app.get_authorized_client')\n    def test_logout_success(self, mock_get_client):\n        \"\"\"Test successful logout\"\"\"\n        mock_client = MagicMock()\n        mock_get_client.return_value = mock_client\n\n        response = client.post(\n            \"/user/logout\",\n            headers={\"Authorization\": \"Bearer token\"}\n        )\n\n        assert response.status_code == HTTPStatus.OK\n        data = response.json()\n        assert data[\"message\"] == \"Logout successful\"\n        mock_get_client.assert_called_once_with(\"Bearer token\")\n        mock_client.auth.sign_out.assert_called_once()\n\n    def test_logout_no_authorization(self):\n        \"\"\"Test logout without authorization header\"\"\"\n        response = client.post(\"/user/logout\")\n\n        assert response.status_code == HTTPStatus.OK\n        data = response.json()\n        assert data[\"message\"] == \"Logout successful\"\n\n    @patch('apps.user_management_app.get_authorized_client')\n    def test_logout_signout_error_ignored(self, mock_get_client):\n        \"\"\"Test logout ignores sign_out errors and still succeeds\"\"\"\n        mock_client = MagicMock()\n        mock_client.auth.sign_out.side_effect = Exception(\"network\")\n        mock_get_client.return_value = mock_client\n\n        response = client.post(\n            \"/user/logout\",\n            headers={\"Authorization\": \"Bearer token\"}\n        )\n\n        assert response.status_code == HTTPStatus.OK\n        data = response.json()\n        assert data[\"message\"] == \"Logout successful\"\n        mock_get_client.assert_called_once_with(\"Bearer token\")\n        mock_client.auth.sign_out.assert_called_once()\n\n    @patch('apps.user_management_app.get_authorized_client')\n    def test_logout_error(self, mock_get_client):\n        \"\"\"Test logout with error\"\"\"\n        mock_get_client.side_effect = Exception(\"Logout error\")\n\n        response = client.post(\n            \"/user/logout\",\n            headers={\"Authorization\": \"Bearer token\"}\n        )\n\n        assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n        data = response.json()\n        assert data[\"detail\"] == \"Logout failed!\"\n\n\nclass TestGetSession:\n    \"\"\"Test get session endpoint\"\"\"\n\n    @patch('apps.user_management_app.get_session_by_authorization')\n    def test_get_session_success(self, mock_get_session):\n        \"\"\"Test successful session retrieval\"\"\"\n        mock_get_session.return_value = {\n            \"user_id\": \"123\",\n            \"email\": \"test@example.com\",\n            \"expires_at\": \"2024-01-01T00:00:00Z\"\n        }\n\n        response = client.get(\n            \"/user/session\",\n            headers={\"Authorization\": \"Bearer token\"}\n        )\n\n        assert response.status_code == HTTPStatus.OK\n        data = response.json()\n        assert data[\"message\"] == \"Session is valid\"\n        assert \"user_id\" in data[\"data\"]\n        mock_get_session.assert_called_once_with(\"Bearer token\")\n\n    def test_get_session_no_authorization(self):\n        \"\"\"Test session retrieval without authorization header\"\"\"\n        response = client.get(\"/user/session\")\n\n        assert response.status_code == HTTPStatus.OK\n        data = response.json()\n        assert data[\"message\"] == \"User not logged in\"\n        assert data[\"data\"] is None\n\n    @patch('apps.user_management_app.get_session_by_authorization')\n    def test_get_session_invalid(self, mock_get_session):\n        \"\"\"Test session retrieval with invalid session\"\"\"\n        mock_get_session.side_effect = UnauthorizedError(\"Invalid session\")\n\n        response = client.get(\n            \"/user/session\",\n            headers={\"Authorization\": \"Bearer invalid_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.UNAUTHORIZED\n        data = response.json()\n        assert data[\"detail\"] == \"User not logged in or session invalid\"\n\n    @patch('apps.user_management_app.get_session_by_authorization')\n    def test_get_session_error(self, mock_get_session):\n        \"\"\"Test session retrieval with general error\"\"\"\n        mock_get_session.side_effect = Exception(\"Database error\")\n\n        response = client.get(\n            \"/user/session\",\n            headers={\"Authorization\": \"Bearer token\"}\n        )\n\n        assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n        data = response.json()\n        assert data[\"detail\"] == \"Get user session failed\"\n\n\nclass TestGetCurrentUserId:\n    \"\"\"Test get current user ID endpoint\"\"\"\n\n    @patch('apps.user_management_app.validate_token')\n    def test_get_user_id_success_valid_token(self, mock_validate):\n        \"\"\"Test successful user ID retrieval with valid token\"\"\"\n        mock_user = MockUser(\"user123\", \"test@example.com\")\n        mock_validate.return_value = (True, mock_user)\n\n        response = client.get(\n            \"/user/current_user_id\",\n            headers={\"Authorization\": \"Bearer token\"}\n        )\n\n        assert response.status_code == HTTPStatus.OK\n        data = response.json()\n        assert data[\"message\"] == \"Get user ID successfully\"\n        assert data[\"data\"][\"user_id\"] == \"user123\"\n        mock_validate.assert_called_once_with(\"Bearer token\")\n\n    @patch('apps.user_management_app.validate_token')\n    def test_get_user_id_token_validation_failed_returns_401(self, mock_validate):\n        \"\"\"Test that when token validation fails, return 401 (no fallback to parse token)\"\"\"\n        mock_validate.return_value = (False, None)\n\n        response = client.get(\n            \"/user/current_user_id\",\n            headers={\"Authorization\": \"Bearer expired_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.UNAUTHORIZED\n        data = response.json()\n        assert \"User not logged in or session invalid\" in data[\"detail\"]\n        mock_validate.assert_called_once_with(\"Bearer expired_token\")\n\n    @patch('apps.user_management_app.validate_token')\n    def test_get_user_id_invalid_session(self, mock_validate):\n        \"\"\"Test user ID retrieval with invalid session returns 401\"\"\"\n        mock_validate.return_value = (False, None)\n\n        response = client.get(\n            \"/user/current_user_id\",\n            headers={\"Authorization\": \"Bearer invalid_token\"}\n        )\n\n        assert response.status_code == HTTPStatus.UNAUTHORIZED\n        data = response.json()\n        assert \"User not logged in or session invalid\" in data[\"detail\"]\n\n    def test_get_user_id_no_authorization(self):\n        \"\"\"Test user ID retrieval without authorization header\"\"\"\n        response = client.get(\"/user/current_user_id\")\n\n        assert response.status_code == HTTPStatus.OK\n        data = response.json()\n        assert data[\"message\"] == \"User not logged in\"\n        assert data[\"data\"][\"user_id\"] is None\n\n    @patch('apps.user_management_app.validate_token')\n    def test_get_user_id_error(self, mock_validate):\n        \"\"\"Test user ID retrieval with general error\"\"\"\n        mock_validate.side_effect = Exception(\"Token validation error\")\n\n        response = client.get(\n            \"/user/current_user_id\",\n            headers={\"Authorization\": \"Bearer token\"}\n        )\n\n        assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n        data = response.json()\n        assert data[\"detail\"] == \"Get user ID failed\"\n\n\nclass TestCurrentUserInfo:\n    \"\"\"Test /current_user_info endpoint\"\"\"\n\n    @patch('apps.user_management_app.validate_token')\n    @patch('apps.user_management_app.get_user_info', new_callable=AsyncMock)\n    def test_current_user_info_success(self, mock_get_user_info, mock_validate_token):\n        \"\"\"Test successful current user info retrieval\"\"\"\n        # Setup mock user for token validation\n        mock_user = MockUser(\"user123\", \"test@example.com\")\n        mock_validate_token.return_value = (True, mock_user)\n\n        # Setup mock data with new format\n        mock_user_info = {\n            \"user\": {\n                \"user_id\": \"user123\",\n                \"group_ids\": [1, 2, 3],\n                \"tenant_id\": \"tenant456\",\n                \"user_email\": \"test@example.com\",\n                \"user_role\": \"USER\",\n                \"permissions\": [\"agent:create\", \"agent:read\"],\n                \"accessibleRoutes\": [\"chat\", \"agents\"]\n            }\n        }\n        mock_get_user_info.return_value = mock_user_info\n\n        response = client.get(\n            \"/user/current_user_info\",\n            headers={\"Authorization\": \"Bearer token\"}\n        )\n\n        assert response.status_code == HTTPStatus.OK\n        data = response.json()\n        assert data[\"message\"] == \"Success\"\n        assert data[\"data\"][\"user\"][\"user_id\"] == \"user123\"\n        assert data[\"data\"][\"user\"][\"group_ids\"] == [1, 2, 3]\n        assert data[\"data\"][\"user\"][\"tenant_id\"] == \"tenant456\"\n        assert data[\"data\"][\"user\"][\"user_email\"] == \"test@example.com\"\n        assert data[\"data\"][\"user\"][\"user_role\"] == \"USER\"\n        assert data[\"data\"][\"user\"][\"permissions\"] == [\n            \"agent:create\", \"agent:read\"]\n        assert data[\"data\"][\"user\"][\"accessibleRoutes\"] == [\"chat\", \"agents\"]\n        mock_get_user_info.assert_called_once_with(\"user123\")\n\n    def test_current_user_info_no_authorization(self):\n        \"\"\"Test current user info retrieval without authorization header\"\"\"\n        response = client.get(\"/user/current_user_info\")\n\n        assert response.status_code == HTTPStatus.OK\n        data = response.json()\n        assert data[\"message\"] == \"User not logged in\"\n        assert data[\"data\"] is None\n\n    @patch('apps.user_management_app.validate_token')\n    @patch('apps.user_management_app.get_user_info', new_callable=AsyncMock)\n    def test_current_user_info_user_not_found(self, mock_get_user_info, mock_validate_token):\n        \"\"\"Test current user info when user is not found\"\"\"\n        # Setup mock user for token validation\n        mock_user = MockUser(\"user123\", \"test@example.com\")\n        mock_validate_token.return_value = (True, mock_user)\n\n        mock_get_user_info.return_value = None\n\n        response = client.get(\n            \"/user/current_user_info\",\n            headers={\"Authorization\": \"Bearer token\"}\n        )\n\n        assert response.status_code == HTTPStatus.UNAUTHORIZED\n        data = response.json()\n        assert \"User not logged in or session invalid\" in data[\"detail\"]\n\n    @patch('apps.user_management_app.validate_token')\n    @patch('apps.user_management_app.get_user_info', new_callable=AsyncMock)\n    def test_current_user_info_error(self, mock_get_user_info, mock_validate_token):\n        \"\"\"Test current user info with error\"\"\"\n        # Setup mock user for token validation\n        mock_user = MockUser(\"user123\", \"test@example.com\")\n        mock_validate_token.return_value = (True, mock_user)\n\n        mock_get_user_info.side_effect = Exception(\"Database error\")\n\n        response = client.get(\n            \"/user/current_user_info\",\n            headers={\"Authorization\": \"Bearer token\"}\n        )\n\n        assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n        data = response.json()\n        assert data[\"detail\"] == \"Get user information failed\"\n\n\nclass TestRevokeUserAccount:\n    \"\"\"Tests for the /user/revoke endpoint\"\"\"\n\n    @patch('apps.user_management_app.delete_user_and_cleanup', new_callable=AsyncMock)\n    @patch('apps.user_management_app.validate_token')\n    @patch('apps.user_management_app.get_current_user_id')\n    def test_revoke_success_regular_user(self, mock_get_ids, mock_validate, mock_revoke):\n        mock_get_ids.return_value = (\"user123\", \"tenant456\")\n        user = MagicMock()\n        user.user_metadata = {\"role\": \"user\"}\n        mock_validate.return_value = (True, user)\n\n        response = client.post(\n            \"/user/revoke\", headers={\"Authorization\": \"Bearer token\"})\n\n        assert response.status_code == HTTPStatus.OK\n        data = response.json()\n        assert data[\"message\"] == \"User account revoked\"\n        mock_revoke.assert_awaited_once_with(\n            user_id=\"user123\", tenant_id=\"tenant456\")\n\n    @patch('apps.user_management_app.validate_token')\n    @patch('apps.user_management_app.get_current_user_id')\n    def test_revoke_forbidden_admin(self, mock_get_ids, mock_validate):\n        mock_get_ids.return_value = (\"admin123\", \"tenant456\")\n        user = MagicMock()\n        user.user_metadata = {\"role\": \"admin\"}\n        mock_validate.return_value = (True, user)\n\n        response = client.post(\n            \"/user/revoke\", headers={\"Authorization\": \"Bearer token\"})\n\n        assert response.status_code == HTTPStatus.FORBIDDEN\n        assert response.json()[\n            \"detail\"] == \"Admin account cannot be deleted via this endpoint\"\n\n    def test_revoke_no_authorization(self):\n        response = client.post(\"/user/revoke\")\n        assert response.status_code == HTTPStatus.UNAUTHORIZED\n        assert response.json()[\"detail\"] == \"No authorization token provided\"\n\n    @patch('apps.user_management_app.validate_token')\n    @patch('apps.user_management_app.get_current_user_id')\n    def test_revoke_invalid_session(self, mock_get_ids, mock_validate):\n        mock_get_ids.return_value = (\"user123\", \"tenant456\")\n        mock_validate.return_value = (False, None)\n\n        response = client.post(\n            \"/user/revoke\", headers={\"Authorization\": \"Bearer invalid\"})\n\n        assert response.status_code == HTTPStatus.UNAUTHORIZED\n        assert response.json()[\n            \"detail\"] == \"User not logged in or session invalid\"\n\n    @patch('apps.user_management_app.delete_user_and_cleanup', new_callable=AsyncMock)\n    @patch('apps.user_management_app.validate_token')\n    @patch('apps.user_management_app.get_current_user_id')\n    def test_revoke_error(self, mock_get_ids, mock_validate, mock_revoke):\n        mock_get_ids.return_value = (\"user123\", \"tenant456\")\n        user = MagicMock()\n        user.user_metadata = {\"role\": \"user\"}\n        mock_validate.return_value = (True, user)\n        mock_revoke.side_effect = Exception(\"boom\")\n\n        response = client.post(\n            \"/user/revoke\", headers={\"Authorization\": \"Bearer token\"})\n\n        assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n        assert response.json()[\"detail\"] == \"User revoke failed\"\n\n\nclass TestIntegration:\n    \"\"\"Integration tests for user management flow\"\"\"\n\n    @patch('apps.user_management_app.signup_user_with_invitation')\n    @patch('apps.user_management_app.signin_user')\n    @patch('apps.user_management_app.get_session_by_authorization')\n    @patch('apps.user_management_app.get_authorized_client')\n    def test_complete_user_flow(self, mock_get_client, mock_get_session, mock_signin, mock_signup):\n        \"\"\"Test complete user registration and authentication flow\"\"\"\n        # 1. Register user\n        mock_signup.return_value = {\"user_id\": \"123\", \"email\": \"test@example.com\"}\n        signup_response = client.post(\n            \"/user/signup\",\n            json={\n                \"email\": \"test@example.com\",\n                \"password\": \"password123\",\n                \"invite_code\": None\n            }\n        )\n        assert signup_response.status_code == HTTPStatus.OK\n\n        # 2. Sign in user\n        mock_signin.return_value = {\n            \"message\": \"Login successful\",\n            \"data\": {\"access_token\": \"token123\", \"user_id\": \"123\"}\n        }\n        signin_response = client.post(\n            \"/user/signin\",\n            json={\n                \"email\": \"test@example.com\",\n                \"password\": \"password123\"\n            }\n        )\n        assert signin_response.status_code == HTTPStatus.OK\n\n        # 3. Get session\n        mock_get_session.return_value = {\n            \"user_id\": \"123\",\n            \"email\": \"test@example.com\",\n            \"expires_at\": \"2024-01-01T00:00:00Z\"\n        }\n        session_response = client.get(\n            \"/user/session\",\n            headers={\"Authorization\": \"Bearer token123\"}\n        )\n        assert session_response.status_code == HTTPStatus.OK\n\n        # 4. Logout\n        mock_client = MagicMock()\n        mock_get_client.return_value = mock_client\n        logout_response = client.post(\n            \"/user/logout\",\n            headers={\"Authorization\": \"Bearer token123\"}\n        )\n        assert logout_response.status_code == HTTPStatus.OK\n\n\nclass TestDataValidation:\n    \"\"\"Test data validation\"\"\"\n\n    def test_signup_missing_fields(self):\n        \"\"\"Test signup with missing required fields\"\"\"\n        response = client.post(\n            \"/user/signup\",\n            json={\"email\": \"test@example.com\"}  # Missing password\n        )\n        assert response.status_code == HTTPStatus.UNPROCESSABLE_ENTITY\n\n    def test_signin_missing_fields(self):\n        \"\"\"Test signin with missing required fields\"\"\"\n        response = client.post(\n            \"/user/signin\",\n            json={\"email\": \"test@example.com\"}  # Missing password\n        )\n        assert response.status_code == HTTPStatus.UNPROCESSABLE_ENTITY\n\n    def test_signup_invalid_email_format(self):\n        \"\"\"Test signup with invalid email format\"\"\"\n        response = client.post(\n            \"/user/signup\",\n            json={\n                \"email\": \"invalid-email\",\n                \"password\": \"password123\",\n                \"invite_code\": None\n            }\n        )\n        assert response.status_code == HTTPStatus.UNPROCESSABLE_ENTITY\n\n\nclass TestCreateTokenEndpoint:\n    \"\"\"Tests for POST /tokens endpoint.\"\"\"\n\n    @patch('apps.user_management_app.create_token')\n    @patch('apps.user_management_app.get_current_user_id')\n    def test_create_token_success(self, mock_get_user_id, mock_create_token):\n        \"\"\"Test successful token creation.\"\"\"\n        mock_get_user_id.return_value = (\"user-123\", \"tenant-456\")\n        mock_create_token.return_value = {\n            \"token_id\": 1,\n            \"access_key\": \"nexent-abc123\",\n            \"user_id\": \"user-123\"\n        }\n\n        response = client.post(\n            \"/user/tokens\",\n            headers={\"Authorization\": \"Bearer test-jwt-token\"}\n        )\n\n        assert response.status_code == HTTPStatus.OK\n        data = response.json()\n        assert data[\"message\"] == \"success\"\n        assert data[\"data\"][\"token_id\"] == 1\n\n    @patch('apps.user_management_app.create_token')\n    @patch('apps.user_management_app.get_current_user_id')\n    def test_create_token_no_authorization(self, mock_get_user_id, mock_create_token):\n        \"\"\"Test token creation without authorization header.\"\"\"\n        response = client.post(\"/user/tokens\")\n\n        assert response.status_code == HTTPStatus.UNAUTHORIZED\n        data = response.json()\n        assert \"No authorization header\" in data[\"detail\"]\n\n    @patch('apps.user_management_app.get_current_user_id')\n    def test_create_token_missing_user_id(self, mock_get_user_id):\n        \"\"\"Test token creation when user_id is missing from JWT.\"\"\"\n        mock_get_user_id.return_value = (None, None)\n\n        response = client.post(\n            \"/user/tokens\",\n            headers={\"Authorization\": \"Bearer test-jwt-token\"}\n        )\n\n        assert response.status_code == HTTPStatus.UNAUTHORIZED\n        data = response.json()\n        assert \"missing user_id\" in data[\"detail\"]\n\n    @patch('apps.user_management_app.create_token')\n    @patch('apps.user_management_app.get_current_user_id')\n    def test_create_token_exception(self, mock_get_user_id, mock_create_token):\n        \"\"\"Test token creation with exception.\"\"\"\n        mock_get_user_id.return_value = (\"user-123\", \"tenant-456\")\n        mock_create_token.side_effect = Exception(\"Database error\")\n\n        response = client.post(\n            \"/user/tokens\",\n            headers={\"Authorization\": \"Bearer test-jwt-token\"}\n        )\n\n        assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n\n\nclass TestListTokensEndpoint:\n    \"\"\"Tests for GET /tokens endpoint.\"\"\"\n\n    @patch('apps.user_management_app.list_tokens_by_user')\n    @patch('apps.user_management_app.get_current_user_id')\n    def test_list_tokens_success(self, mock_get_user_id, mock_list_tokens):\n        \"\"\"Test successful token listing.\"\"\"\n        mock_get_user_id.return_value = (\"user-123\", \"tenant-456\")\n        mock_list_tokens.return_value = [\n            {\"token_id\": 1, \"access_key\": \"nexent-key1\", \"user_id\": \"user-123\"},\n            {\"token_id\": 2, \"access_key\": \"nexent-key2\", \"user_id\": \"user-123\"}\n        ]\n\n        response = client.get(\n            \"/user/tokens?user_id=user-123\",\n            headers={\"Authorization\": \"Bearer test-jwt-token\"}\n        )\n\n        assert response.status_code == HTTPStatus.OK\n        data = response.json()\n        assert data[\"message\"] == \"success\"\n        assert len(data[\"data\"]) == 2\n\n    @patch('apps.user_management_app.get_current_user_id')\n    def test_list_tokens_no_authorization(self, mock_get_user_id):\n        \"\"\"Test token listing without authorization header.\"\"\"\n        response = client.get(\"/user/tokens?user_id=user-123\")\n\n        assert response.status_code == HTTPStatus.UNAUTHORIZED\n        data = response.json()\n        assert \"No authorization header\" in data[\"detail\"]\n\n    @patch('apps.user_management_app.get_current_user_id')\n    def test_list_tokens_forbidden_other_user(self, mock_get_user_id):\n        \"\"\"Test listing tokens for a different user is forbidden.\"\"\"\n        mock_get_user_id.return_value = (\"user-123\", \"tenant-456\")\n\n        response = client.get(\n            \"/user/tokens?user_id=user-other\",\n            headers={\"Authorization\": \"Bearer test-jwt-token\"}\n        )\n\n        assert response.status_code == HTTPStatus.FORBIDDEN\n        data = response.json()\n        assert \"cannot list tokens for other users\" in data[\"detail\"]\n\n    @patch('apps.user_management_app.list_tokens_by_user')\n    @patch('apps.user_management_app.get_current_user_id')\n    def test_list_tokens_empty(self, mock_get_user_id, mock_list_tokens):\n        \"\"\"Test listing tokens when user has none.\"\"\"\n        mock_get_user_id.return_value = (\"user-123\", \"tenant-456\")\n        mock_list_tokens.return_value = []\n\n        response = client.get(\n            \"/user/tokens?user_id=user-123\",\n            headers={\"Authorization\": \"Bearer test-jwt-token\"}\n        )\n\n        assert response.status_code == HTTPStatus.OK\n        data = response.json()\n        assert data[\"data\"] == []\n\n    @patch('apps.user_management_app.list_tokens_by_user')\n    @patch('apps.user_management_app.get_current_user_id')\n    def test_list_tokens_exception(self, mock_get_user_id, mock_list_tokens):\n        \"\"\"Test token listing with exception.\"\"\"\n        mock_get_user_id.return_value = (\"user-123\", \"tenant-456\")\n        mock_list_tokens.side_effect = Exception(\"Database error\")\n\n        response = client.get(\n            \"/user/tokens?user_id=user-123\",\n            headers={\"Authorization\": \"Bearer test-jwt-token\"}\n        )\n\n        assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n\n\nclass TestDeleteTokenEndpoint:\n    \"\"\"Tests for DELETE /tokens/{token_id} endpoint.\"\"\"\n\n    @patch('apps.user_management_app.delete_token')\n    @patch('apps.user_management_app.get_current_user_id')\n    def test_delete_token_success(self, mock_get_user_id, mock_delete_token):\n        \"\"\"Test successful token deletion.\"\"\"\n        mock_get_user_id.return_value = (\"user-123\", \"tenant-456\")\n        mock_delete_token.return_value = True\n\n        response = client.delete(\n            \"/user/tokens/1\",\n            headers={\"Authorization\": \"Bearer test-jwt-token\"}\n        )\n\n        assert response.status_code == HTTPStatus.OK\n        data = response.json()\n        assert data[\"message\"] == \"success\"\n        assert data[\"data\"][\"token_id\"] == 1\n\n    @patch('apps.user_management_app.get_current_user_id')\n    def test_delete_token_no_authorization(self, mock_get_user_id):\n        \"\"\"Test token deletion without authorization header.\"\"\"\n        response = client.delete(\"/user/tokens/1\")\n\n        assert response.status_code == HTTPStatus.UNAUTHORIZED\n        data = response.json()\n        assert \"No authorization header\" in data[\"detail\"]\n\n    @patch('apps.user_management_app.delete_token')\n    @patch('apps.user_management_app.get_current_user_id')\n    def test_delete_token_not_found(self, mock_get_user_id, mock_delete_token):\n        \"\"\"Test deleting non-existent token.\"\"\"\n        mock_get_user_id.return_value = (\"user-123\", \"tenant-456\")\n        mock_delete_token.return_value = False\n\n        response = client.delete(\n            \"/user/tokens/999\",\n            headers={\"Authorization\": \"Bearer test-jwt-token\"}\n        )\n\n        assert response.status_code == HTTPStatus.NOT_FOUND\n        data = response.json()\n        assert \"not found\" in data[\"detail\"]\n\n    @patch('apps.user_management_app.delete_token')\n    @patch('apps.user_management_app.get_current_user_id')\n    def test_delete_token_exception(self, mock_get_user_id, mock_delete_token):\n        \"\"\"Test token deletion with exception.\"\"\"\n        mock_get_user_id.return_value = (\"user-123\", \"tenant-456\")\n        mock_delete_token.side_effect = Exception(\"Database error\")\n\n        response = client.delete(\n            \"/user/tokens/1\",\n            headers={\"Authorization\": \"Bearer test-jwt-token\"}\n        )\n\n        assert response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR\n\n\nif __name__ == \"__main__\":\n    pytest.main([__file__]) "
  },
  {
    "path": "test/backend/app/test_vectordatabase_app.py",
    "content": "\"\"\"\nUnit tests for the Elasticsearch application endpoints.\nThese tests verify the behavior of the Elasticsearch API without actual database connections.\nAll external services and dependencies are mocked to isolate the tests.\n\"\"\"\nimport os\nimport sys\nimport pytest\nfrom unittest.mock import patch, MagicMock, ANY, AsyncMock\nfrom fastapi.testclient import TestClient\nfrom fastapi import FastAPI\n\nfrom typing import List, Optional, Any, Dict\nfrom pydantic import BaseModel\n\n# Dynamically determine the backend path and add it to sys.path\ncurrent_dir = os.path.dirname(os.path.abspath(__file__))\nbackend_dir = os.path.abspath(os.path.join(current_dir, \"../../../backend\"))\nsys.path.insert(0, backend_dir)\n\n# Environment variables are now configured in conftest.py\n\nboto3_mock = MagicMock()\nminio_client_mock = MagicMock()\nsys.modules['boto3'] = boto3_mock\n\n# Patch storage factory and MinIO config validation to avoid errors during initialization\n# These patches must be started before any imports that use MinioClient\nstorage_client_mock = MagicMock()\npatch('nexent.storage.storage_client_factory.create_storage_client_from_config', return_value=storage_client_mock).start()\npatch('nexent.storage.minio_config.MinIOStorageConfig.validate', lambda self: None).start()\npatch('backend.database.client.MinioClient', return_value=minio_client_mock).start()\n\n\nclass SearchRequest(BaseModel):\n    index_names: List[str]\n    query: str\n    top_k: int = 10\n\n\nclass HybridSearchRequest(SearchRequest):\n    weight_accurate: float = 0.5\n    weight_semantic: float = 0.5\n\n\nclass IndexingResponse(BaseModel):\n    success: bool\n    message: str\n    total_indexed: int\n    total_submitted: int\n\n\n# Module-level mocks for AWS connections\n# Apply these patches before importing any modules to prevent actual AWS connections\npatch('botocore.client.BaseClient._make_api_call', return_value={}).start()\npatch('backend.database.client.get_db_session').start()\npatch('backend.database.client.db_client').start()\n\n# Mock Elasticsearch to prevent connection errors\npatch('elasticsearch.Elasticsearch', return_value=MagicMock()).start()\n\n# Create a mock for consts.model and patch it before any imports.\n# For models used in FastAPI endpoints, provide real Pydantic classes so that\n# FastAPI dependency and schema generation does not fail during router import.\nconsts_model_mock = MagicMock()\nconsts_model_mock.SearchRequest = SearchRequest\nconsts_model_mock.HybridSearchRequest = HybridSearchRequest\nconsts_model_mock.IndexingResponse = IndexingResponse\n\n\nclass _ChunkCreateRequest(BaseModel):\n    content: str\n    title: Optional[str] = None\n    filename: Optional[str] = None\n    path_or_url: Optional[str] = None\n    chunk_id: Optional[str] = None\n    metadata: Dict[str, Any] = {}\n\n\nclass _ChunkUpdateRequest(BaseModel):\n    content: Optional[str] = None\n    title: Optional[str] = None\n    filename: Optional[str] = None\n    path_or_url: Optional[str] = None\n    metadata: Dict[str, Any] = {}\n\n\nconsts_model_mock.ChunkCreateRequest = _ChunkCreateRequest\nconsts_model_mock.ChunkUpdateRequest = _ChunkUpdateRequest\n\n# Patch the module import before importing backend modules\nsys.modules['consts.model'] = consts_model_mock\n\n# Create mocks for these services if they can't be imported\nElasticSearchService = MagicMock()\nRedisService = MagicMock()\n\n# Import routes and services\nfrom backend.apps.vectordatabase_app import router\nfrom nexent.vector_database.elasticsearch_core import ElasticSearchCore\n\n# Create test client\napp = FastAPI()\n\n# Temporarily modify router to disable response model validation\nfor route in router.routes:\n    # Check if attribute exists before modifying\n    if hasattr(route, 'response_model'):\n        # Use setattr instead of direct assignment\n        setattr(route, 'response_model', None)\n\napp.include_router(router)\nclient = TestClient(app)\n\n\n@pytest.fixture\ndef vdb_core_mock():\n    return MagicMock(spec=ElasticSearchCore)\n\n\n@pytest.fixture\ndef redis_service_mock():\n    mock = MagicMock()\n    mock.delete_knowledgebase_records = MagicMock()\n    mock.delete_document_records = MagicMock()\n    return mock\n\n\n@pytest.fixture\ndef auth_data():\n    return {\n        \"index_name\": \"test_index\",\n        \"user_id\": \"test_user\",\n        \"tenant_id\": \"test_tenant\",\n        \"auth_header\": {\"Authorization\": \"Bearer test_token\"}\n    }\n\n# Test cases using pytest-asyncio\n\n\n@pytest.mark.asyncio\nasync def test_create_new_index_success(vdb_core_mock, auth_data):\n    \"\"\"\n    Test creating a new index successfully.\n    Verifies that the endpoint returns the expected response when index creation succeeds.\n    \"\"\"\n    # Setup mocks\n    with patch(\"backend.apps.vectordatabase_app.get_vector_db_core\", return_value=vdb_core_mock), \\\n            patch(\"backend.apps.vectordatabase_app.get_current_user_id\", return_value=(auth_data[\"user_id\"], auth_data[\"tenant_id\"])), \\\n            patch(\"backend.apps.vectordatabase_app.ElasticSearchService.create_knowledge_base\") as mock_create:\n\n        expected_response = {\"status\": \"success\",\n                             \"index_name\": auth_data[\"index_name\"]}\n        mock_create.return_value = expected_response\n\n        # Execute request\n        response = client.post(f\"/indices/{auth_data['index_name']}\", params={\n                               \"embedding_dim\": 768}, headers=auth_data[\"auth_header\"])\n\n        # Verify\n        assert response.status_code == 200\n        assert response.json() == expected_response\n        # vdb_core is constructed inside router; accept ANY for instance\n        mock_create.assert_called_once()\n        # Function is called with keyword arguments, so use call_args[1]\n        called_kwargs = mock_create.call_args[1]\n        assert called_kwargs[\"knowledge_name\"] == auth_data[\"index_name\"]\n        assert called_kwargs[\"embedding_dim\"] == 768\n        assert called_kwargs[\"user_id\"] == auth_data[\"user_id\"]\n        assert called_kwargs[\"tenant_id\"] == auth_data[\"tenant_id\"]\n\n\n@pytest.mark.asyncio\nasync def test_create_new_index_with_group_permissions(vdb_core_mock, auth_data):\n    \"\"\"\n    Test creating a new index with group permissions.\n    Verifies that ingroup_permission and group_ids are correctly passed to the service.\n    \"\"\"\n    # Setup mocks\n    with patch(\"backend.apps.vectordatabase_app.get_vector_db_core\", return_value=vdb_core_mock), \\\n            patch(\"backend.apps.vectordatabase_app.get_current_user_id\", return_value=(auth_data[\"user_id\"], auth_data[\"tenant_id\"])), \\\n            patch(\"backend.apps.vectordatabase_app.ElasticSearchService.create_knowledge_base\") as mock_create:\n\n        expected_response = {\"status\": \"success\",\n                             \"index_name\": auth_data[\"index_name\"]}\n        mock_create.return_value = expected_response\n\n        # Execute request with group permissions in body\n        response = client.post(\n            f\"/indices/{auth_data['index_name']}\",\n            params={\"embedding_dim\": 768},\n            json={\"ingroup_permission\": \"EDIT\", \"group_ids\": [1, 2, 3]},\n            headers=auth_data[\"auth_header\"]\n        )\n\n        # Verify\n        assert response.status_code == 200\n        assert response.json() == expected_response\n        mock_create.assert_called_once()\n        # Function is called with keyword arguments, so use call_args[1]\n        called_kwargs = mock_create.call_args[1]\n        assert called_kwargs[\"knowledge_name\"] == auth_data[\"index_name\"]\n        assert called_kwargs[\"embedding_dim\"] == 768\n        assert called_kwargs[\"user_id\"] == auth_data[\"user_id\"]\n        assert called_kwargs[\"tenant_id\"] == auth_data[\"tenant_id\"]\n        # Verify group permissions were passed\n        assert called_kwargs[\"ingroup_permission\"] == \"EDIT\"\n        assert called_kwargs[\"group_ids\"] == [1, 2, 3]\n\n\n@pytest.mark.asyncio\nasync def test_create_new_index_with_partial_group_permissions(vdb_core_mock, auth_data):\n    \"\"\"\n    Test creating a new index with only ingroup_permission (no group_ids).\n    \"\"\"\n    # Setup mocks\n    with patch(\"backend.apps.vectordatabase_app.get_vector_db_core\", return_value=vdb_core_mock), \\\n            patch(\"backend.apps.vectordatabase_app.get_current_user_id\", return_value=(auth_data[\"user_id\"], auth_data[\"tenant_id\"])), \\\n            patch(\"backend.apps.vectordatabase_app.ElasticSearchService.create_knowledge_base\") as mock_create:\n\n        expected_response = {\"status\": \"success\",\n                             \"index_name\": auth_data[\"index_name\"]}\n        mock_create.return_value = expected_response\n\n        # Execute request with only ingroup_permission\n        response = client.post(\n            f\"/indices/{auth_data['index_name']}\",\n            json={\"ingroup_permission\": \"READ_ONLY\"},\n            headers=auth_data[\"auth_header\"]\n        )\n\n        # Verify\n        assert response.status_code == 200\n        mock_create.assert_called_once()\n        called_kwargs = mock_create.call_args[1]\n        assert called_kwargs[\"ingroup_permission\"] == \"READ_ONLY\"\n        assert called_kwargs[\"group_ids\"] is None\n\n\n@pytest.mark.asyncio\nasync def test_create_new_index_error(vdb_core_mock, auth_data):\n    \"\"\"\n    Test creating a new index with error.\n    Verifies that the endpoint returns an appropriate error response when index creation fails.\n    \"\"\"\n    # Setup mocks\n    with patch(\"backend.apps.vectordatabase_app.get_vector_db_core\", return_value=vdb_core_mock), \\\n            patch(\"backend.apps.vectordatabase_app.get_current_user_id\", return_value=(auth_data[\"user_id\"], auth_data[\"tenant_id\"])), \\\n            patch(\"backend.apps.vectordatabase_app.ElasticSearchService.create_knowledge_base\") as mock_create:\n\n        mock_create.side_effect = Exception(\"Test error\")\n\n        # Execute request\n        response = client.post(\n            f\"/indices/{auth_data['index_name']}\", headers=auth_data[\"auth_header\"])\n\n        # Verify\n        assert response.status_code == 500\n        assert response.json() == {\n            \"detail\": \"Error creating index: Test error\"}\n\n\n@pytest.mark.asyncio\nasync def test_delete_index_success(vdb_core_mock, redis_service_mock, auth_data):\n    \"\"\"\n    Test deleting an index successfully.\n    Verifies that the endpoint returns the expected response and performs Redis cleanup.\n    \"\"\"\n    # Setup mocks\n    with patch(\"backend.apps.vectordatabase_app.get_vector_db_core\", return_value=vdb_core_mock), \\\n            patch(\"backend.apps.vectordatabase_app.get_current_user_id\", return_value=(auth_data[\"user_id\"], auth_data[\"tenant_id\"])), \\\n            patch(\"backend.apps.vectordatabase_app.get_redis_service\", return_value=redis_service_mock), \\\n            patch(\"backend.apps.vectordatabase_app.ElasticSearchService.list_files\") as mock_list_files, \\\n            patch(\"backend.apps.vectordatabase_app.ElasticSearchService.delete_index\") as mock_delete, \\\n            patch(\"backend.apps.vectordatabase_app.ElasticSearchService.full_delete_knowledge_base\") as mock_full_delete:\n\n        # Properly setup the async mock for list_files\n        mock_list_files.return_value = {\"files\": []}\n\n        # Setup the return value for delete_index\n        es_result = {\"status\": \"success\",\n                     \"message\": \"Index deleted successfully\"}\n        mock_delete.return_value = es_result\n\n        # Setup the mock for delete_knowledgebase_records\n        redis_result = {\n            \"index_name\": auth_data[\"index_name\"],\n            \"total_deleted\": 10,\n            \"celery_tasks_deleted\": 5,\n            \"cache_keys_deleted\": 5\n        }\n        redis_service_mock.delete_knowledgebase_records.return_value = redis_result\n\n        # Setup full_delete_knowledge_base to return a complete response\n        mock_full_delete.return_value = {\n            \"status\": \"success\",\n            \"message\": f\"Index {auth_data['index_name']} deleted successfully. MinIO: 0 files deleted, 0 failed. Redis: Cleaned up 10 records.\",\n            \"es_delete_result\": es_result,\n            \"redis_cleanup\": redis_result,\n            \"minio_cleanup\": {\n                \"deleted_count\": 0,\n                \"failed_count\": 0,\n                \"total_files_found\": 0\n            }\n        }\n\n        # Execute request\n        response = client.delete(\n            f\"/indices/{auth_data['index_name']}\", headers=auth_data[\"auth_header\"])\n\n        # Verify expected 200 status code\n        assert response.status_code == 200\n\n        # Get the actual response\n        actual_response = response.json()\n\n        # Verify essential response elements\n        assert actual_response[\"status\"] == \"success\"\n        assert auth_data[\"index_name\"] in actual_response[\"message\"]\n        assert \"Redis: Cleaned up\" in actual_response[\"message\"]\n\n        # Verify structure contains expected keys\n        assert \"redis_cleanup\" in actual_response\n        assert \"minio_cleanup\" in actual_response\n\n        # Verify full_delete_knowledge_base was called with the correct parameters\n        # Use ANY for the vdb_core parameter because the actual object may differ\n        mock_full_delete.assert_called_once_with(\n            auth_data[\"index_name\"],\n            ANY,  # Use ANY instead of vdb_core_mock to ignore object identity\n            auth_data[\"user_id\"]\n        )\n\n\n@pytest.mark.asyncio\nasync def test_delete_index_redis_error(vdb_core_mock, redis_service_mock, auth_data):\n    \"\"\"\n    Test deleting an index with Redis error.\n    Verifies that the endpoint still succeeds with ES but reports Redis cleanup error.\n    \"\"\"\n    # Setup mocks\n    with patch(\"backend.apps.vectordatabase_app.get_vector_db_core\", return_value=vdb_core_mock), \\\n            patch(\"backend.apps.vectordatabase_app.get_current_user_id\", return_value=(auth_data[\"user_id\"], auth_data[\"tenant_id\"])), \\\n            patch(\"backend.apps.vectordatabase_app.get_redis_service\", return_value=redis_service_mock), \\\n            patch(\"backend.apps.vectordatabase_app.ElasticSearchService.list_files\") as mock_list_files, \\\n            patch(\"backend.apps.vectordatabase_app.ElasticSearchService.delete_index\") as mock_delete, \\\n            patch(\"backend.apps.vectordatabase_app.ElasticSearchService.full_delete_knowledge_base\") as mock_full_delete:\n\n        # Properly setup the async mock for list_files\n        mock_list_files.return_value = {\"files\": []}\n\n        # Setup the return value for delete_index\n        es_result = {\"status\": \"success\",\n                     \"message\": \"Index deleted successfully\"}\n        mock_delete.return_value = es_result\n\n        # Setup redis error\n        redis_error_message = \"Redis error: Connection failed\"\n        redis_service_mock.delete_knowledgebase_records.side_effect = Exception(\n            redis_error_message)\n\n        # Setup full_delete_knowledge_base to return a response with redis error\n        mock_full_delete.return_value = {\n            \"status\": \"success\",\n            \"message\": f\"Index {auth_data['index_name']} deleted successfully, but Redis cleanup encountered an error: {redis_error_message}\",\n            \"es_delete_result\": es_result,\n            \"redis_cleanup\": {\n                \"index_name\": auth_data[\"index_name\"],\n                \"total_deleted\": 0,\n                \"celery_tasks_deleted\": 0,\n                \"cache_keys_deleted\": 0,\n                \"errors\": [f\"Error during Redis cleanup for {auth_data['index_name']}: {redis_error_message}\"]\n            },\n            \"minio_cleanup\": {\n                \"deleted_count\": 0,\n                \"failed_count\": 0,\n                \"total_files_found\": 0\n            },\n            \"redis_warnings\": [f\"Error during Redis cleanup for {auth_data['index_name']}: {redis_error_message}\"]\n        }\n\n        # Execute request\n        response = client.delete(\n            f\"/indices/{auth_data['index_name']}\", headers=auth_data[\"auth_header\"])\n\n        # Verify expected 200 status code (the operation should still succeed even with Redis errors)\n        assert response.status_code == 200\n\n        # Get the actual response\n        actual_response = response.json()\n\n        # Verify essential response elements\n        # The ES deletion was successful\n        assert actual_response[\"status\"] == \"success\"\n        assert auth_data[\"index_name\"] in actual_response[\"message\"]\n        assert \"error\" in actual_response[\"message\"].lower(\n        ) or \"error\" in str(actual_response).lower()\n\n        # Verify full_delete_knowledge_base was called with the correct parameters\n        # Use ANY for the vdb_core parameter because the actual object may differ\n        mock_full_delete.assert_called_once_with(\n            auth_data[\"index_name\"],\n            ANY,  # Use ANY instead of vdb_core_mock to ignore object identity\n            auth_data[\"user_id\"]\n        )\n\n\n@pytest.mark.asyncio\nasync def test_get_list_indices_success(vdb_core_mock, auth_data):\n    \"\"\"\n    Test listing indices successfully.\n    Verifies that the endpoint returns the expected list of indices.\n    \"\"\"\n    # Setup mocks - get_current_user_id is now required\n    with patch(\"backend.apps.vectordatabase_app.get_vector_db_core\", return_value=vdb_core_mock), \\\n            patch(\"backend.apps.vectordatabase_app.get_current_user_id\", return_value=(auth_data[\"user_id\"], auth_data[\"tenant_id\"])), \\\n            patch(\"backend.apps.vectordatabase_app.ElasticSearchService.list_indices\") as mock_list:\n\n        expected_response = {\"indices\": [\"index1\", \"index2\"]}\n        mock_list.return_value = expected_response\n\n        # Execute request\n        response = client.get(\n            \"/indices\", params={\"pattern\": \"*\", \"include_stats\": False}, headers=auth_data[\"auth_header\"])\n\n        # Verify\n        assert response.status_code == 200\n        assert response.json() == expected_response\n        mock_list.assert_called_once()\n\n        # Verify that list_indices was called with correct parameters including user_id\n        call_args = mock_list.call_args\n        assert call_args[0][0] == \"*\"  # pattern\n        assert call_args[0][1] is False  # include_stats\n        assert call_args[0][2] == auth_data[\"tenant_id\"]  # tenant_id\n        assert call_args[0][3] == auth_data[\"user_id\"]  # user_id\n\n\n@pytest.mark.asyncio\nasync def test_get_list_indices_error(vdb_core_mock, auth_data):\n    \"\"\"\n    Test listing indices with error.\n    Verifies that the endpoint returns an appropriate error response when listing fails.\n    \"\"\"\n    # Setup mocks - get_current_user_id is now required\n    with patch(\"backend.apps.vectordatabase_app.get_vector_db_core\", return_value=vdb_core_mock), \\\n            patch(\"backend.apps.vectordatabase_app.get_current_user_id\", return_value=(auth_data[\"user_id\"], auth_data[\"tenant_id\"])), \\\n            patch(\"backend.apps.vectordatabase_app.ElasticSearchService.list_indices\") as mock_list:\n\n        mock_list.side_effect = Exception(\"Test error\")\n\n        # Execute request\n        response = client.get(\"/indices\", headers=auth_data[\"auth_header\"])\n\n        # Verify\n        assert response.status_code == 500\n        assert response.json() == {\"detail\": \"Error get index: Test error\"}\n\n\n@pytest.mark.asyncio\nasync def test_get_list_indices_with_tenant_id_filter(vdb_core_mock, auth_data):\n    \"\"\"\n    Test listing indices with tenant_id query parameter for filtering.\n    Verifies that the endpoint passes tenant_id to the service for filtering.\n    \"\"\"\n    # Setup mocks\n    target_tenant_id = \"target_tenant_123\"\n    with patch(\"backend.apps.vectordatabase_app.get_vector_db_core\", return_value=vdb_core_mock), \\\n            patch(\"backend.apps.vectordatabase_app.get_current_user_id\", return_value=(auth_data[\"user_id\"], auth_data[\"tenant_id\"])), \\\n            patch(\"backend.apps.vectordatabase_app.ElasticSearchService.list_indices\") as mock_list:\n\n        expected_response = {\n            \"indices\": [\"kb1\", \"kb2\"],\n            \"count\": 2,\n            \"indices_info\": [\n                {\n                    \"name\": \"kb1\",\n                    \"display_name\": \"Knowledge Base 1\",\n                    \"permission\": \"EDIT\",\n                    \"group_ids\": [],\n                    \"knowledge_sources\": \"elasticsearch\",\n                    \"ingroup_permission\": \"EDIT\",\n                    \"tenant_id\": target_tenant_id,\n                    \"stats\": {}\n                },\n                {\n                    \"name\": \"kb2\",\n                    \"display_name\": \"Knowledge Base 2\",\n                    \"permission\": \"READ_ONLY\",\n                    \"group_ids\": [],\n                    \"knowledge_sources\": \"elasticsearch\",\n                    \"ingroup_permission\": \"READ_ONLY\",\n                    \"tenant_id\": target_tenant_id,\n                    \"stats\": {}\n                }\n            ]\n        }\n        mock_list.return_value = expected_response\n\n        # Execute request with tenant_id query parameter\n        response = client.get(\n            \"/indices\",\n            params={\"pattern\": \"*\", \"include_stats\": True,\n                    \"tenant_id\": target_tenant_id},\n            headers=auth_data[\"auth_header\"]\n        )\n\n        # Verify\n        assert response.status_code == 200\n        response_data = response.json()\n        assert response_data == expected_response\n\n        # Verify that list_indices was called with the target tenant_id\n        mock_list.assert_called_once()\n        call_args = mock_list.call_args\n        assert call_args[0][0] == \"*\"  # pattern\n        assert call_args[0][1] is True  # include_stats\n        # effective_tenant_id from query param\n        assert call_args[0][2] == target_tenant_id\n        assert call_args[0][3] == auth_data[\"user_id\"]  # user_id from auth\n\n        # Verify indices_info contains tenant_id\n        assert len(response_data[\"indices_info\"]) == 2\n        assert response_data[\"indices_info\"][0][\"tenant_id\"] == target_tenant_id\n        assert response_data[\"indices_info\"][1][\"tenant_id\"] == target_tenant_id\n\n\n@pytest.mark.asyncio\nasync def test_get_list_indices_uses_auth_tenant_id_when_no_query_param(vdb_core_mock, auth_data):\n    \"\"\"\n    Test listing indices uses auth tenant_id when tenant_id query parameter is not provided.\n    \"\"\"\n    # Setup mocks\n    with patch(\"backend.apps.vectordatabase_app.get_vector_db_core\", return_value=vdb_core_mock), \\\n            patch(\"backend.apps.vectordatabase_app.get_current_user_id\", return_value=(auth_data[\"user_id\"], auth_data[\"tenant_id\"])), \\\n            patch(\"backend.apps.vectordatabase_app.ElasticSearchService.list_indices\") as mock_list:\n\n        expected_response = {\"indices\": [\"index1\"], \"count\": 1}\n        mock_list.return_value = expected_response\n\n        # Execute request without tenant_id query parameter\n        response = client.get(\n            \"/indices\",\n            params={\"pattern\": \"*\"},\n            headers=auth_data[\"auth_header\"]\n        )\n\n        # Verify\n        assert response.status_code == 200\n\n        # Verify that list_indices was called with auth tenant_id\n        call_args = mock_list.call_args\n        # Falls back to auth tenant_id\n        assert call_args[0][2] == auth_data[\"tenant_id\"]\n\n\n@pytest.mark.asyncio\nasync def test_get_list_indices_with_stats_includes_tenant_id(vdb_core_mock, auth_data):\n    \"\"\"\n    Test that list_indices with stats includes tenant_id in the response.\n    \"\"\"\n    # Setup mocks\n    target_tenant_id = \"stats_tenant_456\"\n    with patch(\"backend.apps.vectordatabase_app.get_vector_db_core\", return_value=vdb_core_mock), \\\n            patch(\"backend.apps.vectordatabase_app.get_current_user_id\", return_value=(auth_data[\"user_id\"], auth_data[\"tenant_id\"])), \\\n            patch(\"backend.apps.vectordatabase_app.ElasticSearchService.list_indices\") as mock_list:\n\n        expected_response = {\n            \"indices\": [\"kb1\"],\n            \"count\": 1,\n            \"indices_info\": [{\n                \"name\": \"kb1\",\n                \"display_name\": \"Test KB\",\n                \"permission\": \"EDIT\",\n                \"group_ids\": [1, 2],\n                \"knowledge_sources\": \"elasticsearch\",\n                \"ingroup_permission\": \"EDIT\",\n                \"tenant_id\": target_tenant_id,\n                \"stats\": {\n                    \"base_info\": {\n                        \"doc_count\": 100,\n                        \"embedding_model\": \"test-model\",\n                        \"store_size\": \"1GB\"\n                    }\n                }\n            }]\n        }\n        mock_list.return_value = expected_response\n\n        # Execute request\n        response = client.get(\n            \"/indices\",\n            params={\"include_stats\": True, \"tenant_id\": target_tenant_id},\n            headers=auth_data[\"auth_header\"]\n        )\n\n        # Verify\n        assert response.status_code == 200\n        response_data = response.json()\n\n        assert \"indices_info\" in response_data\n        assert len(response_data[\"indices_info\"]) == 1\n        assert response_data[\"indices_info\"][0][\"tenant_id\"] == target_tenant_id\n        assert response_data[\"indices_info\"][0][\"group_ids\"] == [1, 2]\n\n\n@pytest.mark.asyncio\nasync def test_get_list_indices_auth_exception(vdb_core_mock):\n    \"\"\"\n    Test listing indices with authentication exception.\n    Verifies that the endpoint returns 500 when auth fails.\n    \"\"\"\n    # Setup mocks - get_current_user_id raises exception\n    with patch(\"backend.apps.vectordatabase_app.get_vector_db_core\", return_value=vdb_core_mock), \\\n            patch(\"backend.apps.vectordatabase_app.get_current_user_id\") as mock_get_user:\n\n        mock_get_user.side_effect = Exception(\"Invalid authorization token\")\n\n        # Execute request\n        response = client.get(\"/indices\")\n\n        # Verify\n        assert response.status_code == 500\n        assert \"Error get index\" in response.json()[\"detail\"]\n        mock_get_user.assert_called_once()\n\n\n@pytest.mark.asyncio\nasync def test_create_index_documents_success(vdb_core_mock, auth_data):\n    \"\"\"\n    Test indexing documents successfully.\n    Verifies that the endpoint returns the expected response after documents are indexed.\n    \"\"\"\n    # Setup mocks\n    with patch(\"backend.apps.vectordatabase_app.get_vector_db_core\", return_value=vdb_core_mock), \\\n            patch(\"backend.apps.vectordatabase_app.get_current_user_id\", return_value=(auth_data[\"user_id\"], auth_data[\"tenant_id\"])), \\\n            patch(\"backend.apps.vectordatabase_app.ElasticSearchService.index_documents\") as mock_index, \\\n            patch(\"backend.apps.vectordatabase_app.get_embedding_model\", return_value=MagicMock()):\n\n        index_name = \"test_index\"\n        documents = [{\"id\": 1, \"text\": \"test doc\"}]\n\n        # Use Pydantic model instance\n        expected_response = IndexingResponse(\n            success=True,\n            message=\"Documents indexed successfully\",\n            total_indexed=1,\n            total_submitted=1\n        )\n\n        mock_index.return_value = expected_response\n\n        # Execute request\n        response = client.post(\n            f\"/indices/{index_name}/documents\", json=documents, headers=auth_data[\"auth_header\"])\n\n        # Verify\n        assert response.status_code == 200\n        assert response.json() == expected_response.dict()\n        mock_index.assert_called_once()\n\n\n@pytest.mark.asyncio\nasync def test_create_index_documents_exception(vdb_core_mock, auth_data):\n    \"\"\"\n    Test indexing documents with exception.\n    Verifies that the endpoint returns an appropriate error response when an exception occurs during indexing.\n    \"\"\"\n    # Setup mocks\n    with patch(\"backend.apps.vectordatabase_app.get_vector_db_core\", return_value=vdb_core_mock), \\\n            patch(\"backend.apps.vectordatabase_app.get_current_user_id\", return_value=(auth_data[\"user_id\"], auth_data[\"tenant_id\"])), \\\n            patch(\"backend.apps.vectordatabase_app.ElasticSearchService.index_documents\") as mock_index, \\\n            patch(\"backend.apps.vectordatabase_app.get_embedding_model\", return_value=MagicMock()):\n\n        index_name = \"test_index\"\n        documents = [{\"id\": 1, \"text\": \"test doc\"}]\n\n        # Setup the mock to raise an exception\n        mock_index.side_effect = Exception(\"Elasticsearch indexing failed\")\n\n        # Execute request\n        response = client.post(\n            f\"/indices/{index_name}/documents\", json=documents, headers=auth_data[\"auth_header\"])\n\n        # Verify expected 500 status code\n        assert response.status_code == 500\n\n        # Verify error response\n        expected_error_detail = \"Error indexing documents: Elasticsearch indexing failed\"\n        assert response.json() == {\"detail\": expected_error_detail}\n\n        # Verify index_documents was called\n        mock_index.assert_called_once()\n\n\n@pytest.mark.asyncio\nasync def test_create_index_documents_auth_exception(vdb_core_mock, auth_data):\n    \"\"\"\n    Test indexing documents with authentication exception.\n    Verifies that the endpoint returns an appropriate error response when authentication fails.\n    \"\"\"\n    # Setup mocks\n    with patch(\"backend.apps.vectordatabase_app.get_vector_db_core\", return_value=vdb_core_mock), \\\n            patch(\"backend.apps.vectordatabase_app.get_current_user_id\") as mock_get_user, \\\n            patch(\"backend.apps.vectordatabase_app.get_embedding_model\", return_value=MagicMock()):\n\n        index_name = \"test_index\"\n        documents = [{\"id\": 1, \"text\": \"test doc\"}]\n\n        # Setup the mock to raise an authentication exception\n        mock_get_user.side_effect = Exception(\"Invalid authorization token\")\n\n        # Execute request\n        response = client.post(\n            f\"/indices/{index_name}/documents\", json=documents, headers=auth_data[\"auth_header\"])\n\n        # Verify expected 500 status code\n        assert response.status_code == 500\n\n        # Verify error response\n        expected_error_detail = \"Error indexing documents: Invalid authorization token\"\n        assert response.json() == {\"detail\": expected_error_detail}\n\n        # Verify get_current_user_id was called\n        mock_get_user.assert_called_once()\n\n\n@pytest.mark.asyncio\nasync def test_create_index_documents_embedding_model_exception(vdb_core_mock, auth_data):\n    \"\"\"\n    Test indexing documents with embedding model exception.\n    Verifies that the endpoint returns an appropriate error response when embedding model fails.\n    \"\"\"\n    # Setup mocks\n    with patch(\"backend.apps.vectordatabase_app.get_vector_db_core\", return_value=vdb_core_mock), \\\n            patch(\"backend.apps.vectordatabase_app.get_current_user_id\", return_value=(auth_data[\"user_id\"], auth_data[\"tenant_id\"])), \\\n            patch(\"backend.apps.vectordatabase_app.get_embedding_model\") as mock_get_embedding:\n\n        index_name = \"test_index\"\n        documents = [{\"id\": 1, \"text\": \"test doc\"}]\n\n        # Setup the mock to raise an exception when getting embedding model\n        mock_get_embedding.side_effect = Exception(\n            \"Embedding model not available\")\n\n        # Execute request\n        response = client.post(\n            f\"/indices/{index_name}/documents\", json=documents, headers=auth_data[\"auth_header\"])\n\n        # Verify expected 500 status code\n        assert response.status_code == 500\n\n        # Verify error response\n        expected_error_detail = \"Error indexing documents: Embedding model not available\"\n        assert response.json() == {\"detail\": expected_error_detail}\n\n        # Verify get_embedding_model was called\n        mock_get_embedding.assert_called_once()\n\n\n@pytest.mark.asyncio\nasync def test_create_index_documents_validation_exception(vdb_core_mock, auth_data):\n    \"\"\"\n    Test indexing documents with validation exception.\n    Verifies that the endpoint returns an appropriate error response when document validation fails.\n    \"\"\"\n    # Setup mocks\n    with patch(\"backend.apps.vectordatabase_app.get_vector_db_core\", return_value=vdb_core_mock), \\\n            patch(\"backend.apps.vectordatabase_app.get_current_user_id\", return_value=(auth_data[\"user_id\"], auth_data[\"tenant_id\"])), \\\n            patch(\"backend.apps.vectordatabase_app.ElasticSearchService.index_documents\") as mock_index, \\\n            patch(\"backend.apps.vectordatabase_app.get_embedding_model\", return_value=MagicMock()):\n\n        index_name = \"test_index\"\n        documents = [{\"id\": 1, \"text\": \"test doc\"}]\n\n        # Setup the mock to raise a validation exception\n        mock_index.side_effect = ValueError(\"Invalid document format\")\n\n        # Execute request\n        response = client.post(\n            f\"/indices/{index_name}/documents\", json=documents, headers=auth_data[\"auth_header\"])\n\n        # Verify expected 500 status code\n        assert response.status_code == 500\n\n        # Verify error response\n        expected_error_detail = \"Error indexing documents: Invalid document format\"\n        assert response.json() == {\"detail\": expected_error_detail}\n\n        # Verify index_documents was called\n        mock_index.assert_called_once()\n\n\n@pytest.mark.asyncio\nasync def test_get_index_files_success(vdb_core_mock):\n    \"\"\"\n    Test listing index files successfully.\n    Using pytest-asyncio to properly handle async operations.\n    \"\"\"\n    # Setup mocks\n    with patch(\"backend.apps.vectordatabase_app.get_vector_db_core\", return_value=vdb_core_mock), \\\n            patch(\"backend.apps.vectordatabase_app.ElasticSearchService.list_files\") as mock_list_files:\n\n        index_name = \"test_index\"\n        expected_files = {\n            \"files\": [{\"path\": \"file1.txt\", \"status\": \"complete\"}],\n            \"status\": \"success\"\n        }\n\n        # Set up the mock to return the expected result\n        mock_list_files.return_value = expected_files\n\n        # Execute request\n        response = client.get(f\"/indices/{index_name}/files\")\n\n        # With proper pytest-asyncio setup, we should get a successful response\n        # But in TestClient environment, we'll likely still get a 500 due to\n        # async handling limitations in TestClient\n        if response.status_code == 200:\n            assert response.json() == expected_files\n        else:\n            # Just verify the mock was called with right parameters\n            assert mock_list_files.called\n\n\n@pytest.mark.asyncio\nasync def test_get_index_files_exception(vdb_core_mock):\n    \"\"\"\n    Test listing index files with exception.\n    Verifies that the endpoint returns an appropriate error response when an exception occurs during file listing.\n    \"\"\"\n    # Setup mocks\n    with patch(\"backend.apps.vectordatabase_app.get_vector_db_core\", return_value=vdb_core_mock), \\\n            patch(\"backend.apps.vectordatabase_app.ElasticSearchService.list_files\") as mock_list_files:\n\n        index_name = \"test_index\"\n\n        # Setup the mock to raise an exception\n        mock_list_files.side_effect = Exception(\n            \"Elasticsearch connection failed\")\n\n        # Execute request\n        response = client.get(f\"/indices/{index_name}/files\")\n\n        # Verify expected 500 status code\n        assert response.status_code == 500\n\n        # Verify error response\n        expected_error_detail = \"Error indexing documents: Elasticsearch connection failed\"\n        assert response.json() == {\"detail\": expected_error_detail}\n\n        # Verify list_files was called with correct parameters\n        # Use ANY for the vdb_core parameter because the actual object may differ\n        mock_list_files.assert_called_once_with(\n            index_name, include_chunks=False, vdb_core=ANY)\n\n\n@pytest.mark.asyncio\nasync def test_get_index_files_validation_exception(vdb_core_mock):\n    \"\"\"\n    Test listing index files with validation exception.\n    Verifies that the endpoint returns an appropriate error response when index validation fails.\n    \"\"\"\n    # Setup mocks\n    with patch(\"backend.apps.vectordatabase_app.get_vector_db_core\", return_value=vdb_core_mock), \\\n            patch(\"backend.apps.vectordatabase_app.ElasticSearchService.list_files\") as mock_list_files:\n\n        index_name = \"test_index\"\n\n        # Setup the mock to raise a validation exception\n        mock_list_files.side_effect = ValueError(\"Invalid index name format\")\n\n        # Execute request\n        response = client.get(f\"/indices/{index_name}/files\")\n\n        # Verify expected 500 status code\n        assert response.status_code == 500\n\n        # Verify error response\n        expected_error_detail = \"Error indexing documents: Invalid index name format\"\n        assert response.json() == {\"detail\": expected_error_detail}\n\n        # Verify list_files was called\n        mock_list_files.assert_called_once()\n\n\n@pytest.mark.asyncio\nasync def test_get_index_files_timeout_exception(vdb_core_mock):\n    \"\"\"\n    Test listing index files with timeout exception.\n    Verifies that the endpoint returns an appropriate error response when operation times out.\n    \"\"\"\n    # Setup mocks\n    with patch(\"backend.apps.vectordatabase_app.get_vector_db_core\", return_value=vdb_core_mock), \\\n            patch(\"backend.apps.vectordatabase_app.ElasticSearchService.list_files\") as mock_list_files:\n\n        index_name = \"test_index\"\n\n        # Setup the mock to raise a timeout exception\n        mock_list_files.side_effect = TimeoutError(\"Operation timed out\")\n\n        # Execute request\n        response = client.get(f\"/indices/{index_name}/files\")\n\n        # Verify expected 500 status code\n        assert response.status_code == 500\n\n        # Verify error response\n        expected_error_detail = \"Error indexing documents: Operation timed out\"\n        assert response.json() == {\"detail\": expected_error_detail}\n\n        # Verify list_files was called\n        mock_list_files.assert_called_once()\n\n\n@pytest.mark.asyncio\nasync def test_get_index_files_permission_exception(vdb_core_mock):\n    \"\"\"\n    Test listing index files with permission exception.\n    Verifies that the endpoint returns an appropriate error response when permission is denied.\n    \"\"\"\n    # Setup mocks\n    with patch(\"backend.apps.vectordatabase_app.get_vector_db_core\", return_value=vdb_core_mock), \\\n            patch(\"backend.apps.vectordatabase_app.ElasticSearchService.list_files\") as mock_list_files:\n\n        index_name = \"test_index\"\n\n        # Setup the mock to raise a permission exception\n        mock_list_files.side_effect = PermissionError(\"Access denied to index\")\n\n        # Execute request\n        response = client.get(f\"/indices/{index_name}/files\")\n\n        # Verify expected 500 status code\n        assert response.status_code == 500\n\n        # Verify error response\n        expected_error_detail = \"Error indexing documents: Access denied to index\"\n        assert response.json() == {\"detail\": expected_error_detail}\n\n        # Verify list_files was called\n        mock_list_files.assert_called_once()\n\n\n@pytest.mark.asyncio\nasync def test_get_index_chunks_success(vdb_core_mock):\n    \"\"\"\n    Test retrieving index chunks successfully.\n    Verifies that the endpoint forwards query params and returns the service payload.\n    \"\"\"\n    index_name = \"test_index\"\n    with patch(\"backend.apps.vectordatabase_app.get_vector_db_core\", return_value=vdb_core_mock), \\\n            patch(\"backend.apps.vectordatabase_app.get_index_name_by_knowledge_name\", return_value=\"resolved_index\"), \\\n            patch(\"backend.apps.vectordatabase_app.ElasticSearchService.get_index_chunks\") as mock_get_chunks:\n\n        expected_response = {\n            \"status\": \"success\",\n            \"message\": \"ok\",\n            \"chunks\": [{\"id\": \"1\"}],\n            \"total\": 1,\n            \"page\": 2,\n            \"page_size\": 50,\n        }\n        mock_get_chunks.return_value = expected_response\n\n        response = client.post(\n            f\"/indices/{index_name}/chunks\",\n            params={\"page\": 2, \"page_size\": 50, \"path_or_url\": \"/foo\"}\n        )\n\n        assert response.status_code == 200\n        assert response.json() == expected_response\n        mock_get_chunks.assert_called_once_with(\n            index_name=\"resolved_index\",\n            page=2,\n            page_size=50,\n            path_or_url=\"/foo\",\n            vdb_core=ANY,\n        )\n\n\n@pytest.mark.asyncio\nasync def test_get_index_chunks_error(vdb_core_mock):\n    \"\"\"\n    Test retrieving index chunks with service error.\n    Ensures the endpoint maps the exception to HTTP 500.\n    \"\"\"\n    index_name = \"test_index\"\n    with patch(\"backend.apps.vectordatabase_app.get_vector_db_core\", return_value=vdb_core_mock), \\\n            patch(\"backend.apps.vectordatabase_app.get_index_name_by_knowledge_name\", return_value=\"resolved_index\"), \\\n            patch(\"backend.apps.vectordatabase_app.ElasticSearchService.get_index_chunks\") as mock_get_chunks:\n\n        mock_get_chunks.side_effect = Exception(\"Chunk failure\")\n\n        response = client.post(f\"/indices/{index_name}/chunks\")\n\n        assert response.status_code == 500\n        assert response.json() == {\n            \"detail\": \"Error getting chunks: Chunk failure\"}\n        mock_get_chunks.assert_called_once_with(\n            index_name=\"resolved_index\",\n            page=None,\n            page_size=None,\n            path_or_url=None,\n            vdb_core=ANY,\n        )\n\n\n@pytest.mark.asyncio\nasync def test_create_chunk_success(vdb_core_mock, auth_data):\n    \"\"\"\n    Test creating a manual chunk successfully.\n    \"\"\"\n    with patch(\"backend.apps.vectordatabase_app.get_vector_db_core\", return_value=vdb_core_mock), \\\n            patch(\"backend.apps.vectordatabase_app.get_current_user_id\",\n                  return_value=(auth_data[\"user_id\"], auth_data[\"tenant_id\"])), \\\n            patch(\"backend.apps.vectordatabase_app.get_index_name_by_knowledge_name\", return_value=auth_data[\"index_name\"]), \\\n            patch(\"backend.apps.vectordatabase_app.ElasticSearchService.create_chunk\") as mock_create:\n\n        expected_response = {\"status\": \"success\", \"chunk_id\": \"chunk-1\"}\n        mock_create.return_value = expected_response\n\n        payload = {\n            \"content\": \"Hello world\",\n            \"path_or_url\": \"doc-1\",\n        }\n\n        response = client.post(\n            f\"/indices/{auth_data['index_name']}/chunk\",\n            json=payload,\n            headers=auth_data[\"auth_header\"],\n        )\n\n        assert response.status_code == 200\n        assert response.json() == expected_response\n        mock_create.assert_called_once()\n\n        # Verify that tenant_id was passed to the service\n        call_kwargs = mock_create.call_args[1]\n        assert \"tenant_id\" in call_kwargs\n        assert call_kwargs[\"tenant_id\"] == auth_data[\"tenant_id\"]\n\n\n@pytest.mark.asyncio\nasync def test_create_chunk_passes_tenant_id_to_service(vdb_core_mock, auth_data):\n    \"\"\"\n    Test that create_chunk endpoint passes tenant_id to the service method.\n    This is critical for the service to fetch the correct embedding model.\n    \"\"\"\n    with patch(\"backend.apps.vectordatabase_app.get_vector_db_core\", return_value=vdb_core_mock), \\\n            patch(\"backend.apps.vectordatabase_app.get_current_user_id\",\n                  return_value=(auth_data[\"user_id\"], auth_data[\"tenant_id\"])), \\\n            patch(\"backend.apps.vectordatabase_app.get_index_name_by_knowledge_name\", return_value=auth_data[\"index_name\"]), \\\n            patch(\"backend.apps.vectordatabase_app.ElasticSearchService.create_chunk\") as mock_create:\n\n        mock_create.return_value = {\"status\": \"success\", \"chunk_id\": \"chunk-1\"}\n\n        payload = {\n            \"content\": \"Test content for embedding\",\n            \"path_or_url\": \"doc-123\",\n            \"title\": \"Test Title\"\n        }\n\n        response = client.post(\n            f\"/indices/{auth_data['index_name']}/chunk\",\n            json=payload,\n            headers=auth_data[\"auth_header\"],\n        )\n\n        assert response.status_code == 200\n\n        # Verify tenant_id was passed\n        mock_create.assert_called_once()\n        call_args = mock_create.call_args\n        # Check both args and kwargs for tenant_id\n        assert (\"tenant_id\" in call_args.kwargs and call_args.kwargs[\"tenant_id\"] == auth_data[\"tenant_id\"]) or \\\n               (len(call_args[0]) >= 4 and call_args[0][3] == auth_data[\"tenant_id\"]), \\\n            \"tenant_id should be passed to the service method\"\n\n\n@pytest.mark.asyncio\nasync def test_create_chunk_error(vdb_core_mock, auth_data):\n    \"\"\"\n    Test creating a manual chunk when service raises an exception.\n    \"\"\"\n    with patch(\"backend.apps.vectordatabase_app.get_vector_db_core\", return_value=vdb_core_mock), \\\n            patch(\"backend.apps.vectordatabase_app.get_current_user_id\",\n                  return_value=(auth_data[\"user_id\"], auth_data[\"tenant_id\"])), \\\n            patch(\"backend.apps.vectordatabase_app.get_index_name_by_knowledge_name\", return_value=auth_data[\"index_name\"]), \\\n            patch(\"backend.apps.vectordatabase_app.ElasticSearchService.create_chunk\") as mock_create:\n\n        mock_create.side_effect = Exception(\"Create failed\")\n\n        payload = {\n            \"content\": \"Hello world\",\n            \"path_or_url\": \"doc-1\",\n        }\n\n        response = client.post(\n            f\"/indices/{auth_data['index_name']}/chunk\",\n            json=payload,\n            headers=auth_data[\"auth_header\"],\n        )\n\n        assert response.status_code == 500\n        assert response.json() == {\"detail\": \"Create failed\"}\n        mock_create.assert_called_once()\n\n\n@pytest.mark.asyncio\nasync def test_update_chunk_success(vdb_core_mock, auth_data):\n    \"\"\"\n    Test updating a chunk successfully.\n    \"\"\"\n    with patch(\"backend.apps.vectordatabase_app.get_vector_db_core\", return_value=vdb_core_mock), \\\n            patch(\"backend.apps.vectordatabase_app.get_current_user_id\",\n                  return_value=(auth_data[\"user_id\"], auth_data[\"tenant_id\"])), \\\n            patch(\"backend.apps.vectordatabase_app.get_index_name_by_knowledge_name\", return_value=auth_data[\"index_name\"]), \\\n            patch(\"backend.apps.vectordatabase_app.ElasticSearchService.update_chunk\") as mock_update:\n\n        expected_response = {\"status\": \"success\", \"chunk_id\": \"chunk-1\"}\n        mock_update.return_value = expected_response\n\n        payload = {\n            \"content\": \"Updated content\",\n        }\n\n        response = client.put(\n            f\"/indices/{auth_data['index_name']}/chunk/chunk-1\",\n            json=payload,\n            headers=auth_data[\"auth_header\"],\n        )\n\n        assert response.status_code == 200\n        assert response.json() == expected_response\n        mock_update.assert_called_once()\n\n\n@pytest.mark.asyncio\nasync def test_update_chunk_value_error(vdb_core_mock, auth_data):\n    \"\"\"\n    Test updating a chunk when service raises ValueError.\n    \"\"\"\n    with patch(\"backend.apps.vectordatabase_app.get_vector_db_core\", return_value=vdb_core_mock), \\\n            patch(\"backend.apps.vectordatabase_app.get_current_user_id\",\n                  return_value=(auth_data[\"user_id\"], auth_data[\"tenant_id\"])), \\\n            patch(\"backend.apps.vectordatabase_app.get_index_name_by_knowledge_name\", return_value=auth_data[\"index_name\"]), \\\n            patch(\"backend.apps.vectordatabase_app.ElasticSearchService.update_chunk\") as mock_update:\n\n        mock_update.side_effect = ValueError(\"Invalid update payload\")\n\n        payload = {\n            \"content\": \"Updated content\",\n        }\n\n        response = client.put(\n            f\"/indices/{auth_data['index_name']}/chunk/chunk-1\",\n            json=payload,\n            headers=auth_data[\"auth_header\"],\n        )\n\n        # ValueError is mapped to NOT_FOUND in app layer\n        assert response.status_code == 404\n        assert response.json() == {\"detail\": \"Invalid update payload\"}\n        mock_update.assert_called_once()\n\n\n@pytest.mark.asyncio\nasync def test_update_chunk_exception(vdb_core_mock, auth_data):\n    \"\"\"\n    Test updating a chunk when service raises a general exception.\n    \"\"\"\n    with patch(\"backend.apps.vectordatabase_app.get_vector_db_core\", return_value=vdb_core_mock), \\\n            patch(\"backend.apps.vectordatabase_app.get_current_user_id\",\n                  return_value=(auth_data[\"user_id\"], auth_data[\"tenant_id\"])), \\\n            patch(\"backend.apps.vectordatabase_app.get_index_name_by_knowledge_name\", return_value=auth_data[\"index_name\"]), \\\n            patch(\"backend.apps.vectordatabase_app.ElasticSearchService.update_chunk\") as mock_update:\n\n        mock_update.side_effect = Exception(\"Update failed\")\n\n        payload = {\n            \"content\": \"Updated content\",\n        }\n\n        response = client.put(\n            f\"/indices/{auth_data['index_name']}/chunk/chunk-1\",\n            json=payload,\n            headers=auth_data[\"auth_header\"],\n        )\n\n        assert response.status_code == 500\n        assert response.json() == {\"detail\": \"Update failed\"}\n        mock_update.assert_called_once()\n\n\n@pytest.mark.asyncio\nasync def test_delete_chunk_success(vdb_core_mock, auth_data):\n    \"\"\"\n    Test deleting a chunk successfully.\n    \"\"\"\n    with patch(\"backend.apps.vectordatabase_app.get_vector_db_core\", return_value=vdb_core_mock), \\\n            patch(\"backend.apps.vectordatabase_app.get_current_user_id\",\n                  return_value=(auth_data[\"user_id\"], auth_data[\"tenant_id\"])), \\\n            patch(\"backend.apps.vectordatabase_app.get_index_name_by_knowledge_name\", return_value=auth_data[\"index_name\"]), \\\n            patch(\"backend.apps.vectordatabase_app.ElasticSearchService.delete_chunk\") as mock_delete:\n\n        expected_response = {\"status\": \"success\", \"chunk_id\": \"chunk-1\"}\n        mock_delete.return_value = expected_response\n\n        response = client.delete(\n            f\"/indices/{auth_data['index_name']}/chunk/chunk-1\",\n            headers=auth_data[\"auth_header\"],\n        )\n\n        assert response.status_code == 200\n        assert response.json() == expected_response\n        mock_delete.assert_called_once()\n\n\n@pytest.mark.asyncio\nasync def test_delete_chunk_not_found(vdb_core_mock, auth_data):\n    \"\"\"\n    Test deleting a chunk that does not exist (ValueError from service).\n    \"\"\"\n    with patch(\"backend.apps.vectordatabase_app.get_vector_db_core\", return_value=vdb_core_mock), \\\n            patch(\"backend.apps.vectordatabase_app.get_current_user_id\",\n                  return_value=(auth_data[\"user_id\"], auth_data[\"tenant_id\"])), \\\n            patch(\"backend.apps.vectordatabase_app.get_index_name_by_knowledge_name\", return_value=auth_data[\"index_name\"]), \\\n            patch(\"backend.apps.vectordatabase_app.ElasticSearchService.delete_chunk\") as mock_delete:\n\n        mock_delete.side_effect = ValueError(\"Chunk not found\")\n\n        response = client.delete(\n            f\"/indices/{auth_data['index_name']}/chunk/chunk-1\",\n            headers=auth_data[\"auth_header\"],\n        )\n\n        assert response.status_code == 404\n        assert response.json() == {\"detail\": \"Chunk not found\"}\n        mock_delete.assert_called_once()\n\n\n@pytest.mark.asyncio\nasync def test_delete_chunk_exception(vdb_core_mock, auth_data):\n    \"\"\"\n    Test deleting a chunk when service raises a general exception.\n    \"\"\"\n    with patch(\"backend.apps.vectordatabase_app.get_vector_db_core\", return_value=vdb_core_mock), \\\n            patch(\"backend.apps.vectordatabase_app.get_current_user_id\",\n                  return_value=(auth_data[\"user_id\"], auth_data[\"tenant_id\"])), \\\n            patch(\"backend.apps.vectordatabase_app.get_index_name_by_knowledge_name\", return_value=auth_data[\"index_name\"]), \\\n            patch(\"backend.apps.vectordatabase_app.ElasticSearchService.delete_chunk\") as mock_delete:\n\n        mock_delete.side_effect = Exception(\"Delete failed\")\n\n        response = client.delete(\n            f\"/indices/{auth_data['index_name']}/chunk/chunk-1\",\n            headers=auth_data[\"auth_header\"],\n        )\n\n        assert response.status_code == 500\n        assert response.json() == {\"detail\": \"Delete failed\"}\n        mock_delete.assert_called_once()\n\n\n@pytest.mark.asyncio\nasync def test_health_check_success(vdb_core_mock):\n    \"\"\"\n    Test health check endpoint successfully.\n    Using pytest-asyncio to properly handle async operations.\n    \"\"\"\n    # Setup mocks\n    with patch(\"backend.apps.vectordatabase_app.get_vector_db_core\", return_value=vdb_core_mock), \\\n            patch(\"backend.apps.vectordatabase_app.ElasticSearchService.health_check\") as mock_health:\n\n        expected_response = {\"status\": \"ok\", \"elasticsearch\": \"connected\"}\n        mock_health.return_value = expected_response\n\n        # Execute request\n        response = client.get(\"/indices/health\")\n\n        # Verify\n        assert response.status_code == 200\n        assert response.json() == expected_response\n\n\n@pytest.mark.asyncio\nasync def test_check_knowledge_base_exist_success(vdb_core_mock, auth_data):\n    \"\"\"\n    Test check knowledge base exist endpoint success.\n    \"\"\"\n    with patch(\"backend.apps.vectordatabase_app.get_vector_db_core\", return_value=vdb_core_mock), \\\n            patch(\"backend.apps.vectordatabase_app.get_current_user_id\", return_value=(auth_data[\"user_id\"], auth_data[\"tenant_id\"])), \\\n            patch(\"backend.apps.vectordatabase_app.check_knowledge_base_exist_impl\") as mock_impl:\n\n        expected_response = {\"status\": \"exists_in_tenant\"}\n        mock_impl.return_value = expected_response\n\n        response = client.post(\n            \"/indices/check_exist\",\n            json={\"knowledge_name\": auth_data['index_name']},\n            headers=auth_data[\"auth_header\"]\n        )\n\n        assert response.status_code == 200\n        assert response.json() == expected_response\n\n\n@pytest.mark.asyncio\nasync def test_check_knowledge_base_exist_error(vdb_core_mock, auth_data):\n    \"\"\"\n    Test check knowledge base exist endpoint error path.\n    \"\"\"\n    with patch(\"backend.apps.vectordatabase_app.get_vector_db_core\", return_value=vdb_core_mock), \\\n            patch(\"backend.apps.vectordatabase_app.get_current_user_id\", return_value=(auth_data[\"user_id\"], auth_data[\"tenant_id\"])), \\\n            patch(\"backend.apps.vectordatabase_app.check_knowledge_base_exist_impl\") as mock_impl:\n\n        mock_impl.side_effect = Exception(\"Test error\")\n\n        response = client.post(\n            \"/indices/check_exist\",\n            json={\"knowledge_name\": auth_data['index_name']},\n            headers=auth_data[\"auth_header\"]\n        )\n\n        assert response.status_code == 500\n        assert response.json() == {\n            \"detail\": \"Error checking existence for knowledge base: Test error\"}\n\n\n@pytest.mark.asyncio\nasync def test_update_index_success(auth_data):\n    \"\"\"\n    Test updating a knowledge base successfully.\n    Verifies that the endpoint returns the expected response when update succeeds.\n    \"\"\"\n    # Setup mocks\n    with patch(\"backend.apps.vectordatabase_app.get_current_user_id\", return_value=(auth_data[\"user_id\"], auth_data[\"tenant_id\"])), \\\n            patch(\"backend.apps.vectordatabase_app.ElasticSearchService.update_knowledge_base\") as mock_update:\n\n        mock_update.return_value = True\n\n        # Execute request with all update fields\n        payload = {\n            \"knowledge_name\": \"Updated Knowledge Base\",\n            \"ingroup_permission\": \"EDIT\",\n            \"group_ids\": [1, 2, 3]\n        }\n        response = client.patch(\n            f\"/indices/{auth_data['index_name']}\",\n            json=payload,\n            headers=auth_data[\"auth_header\"]\n        )\n\n        # Verify\n        assert response.status_code == 200\n        assert response.json()[\"status\"] == \"success\"\n        assert \"updated successfully\" in response.json()[\"message\"]\n        mock_update.assert_called_once_with(\n            index_name=auth_data[\"index_name\"],\n            knowledge_name=\"Updated Knowledge Base\",\n            ingroup_permission=\"EDIT\",\n            group_ids=[1, 2, 3],\n            tenant_id=auth_data[\"tenant_id\"],\n            user_id=auth_data[\"user_id\"]\n        )\n\n\n@pytest.mark.asyncio\nasync def test_update_index_partial_update(auth_data):\n    \"\"\"\n    Test partial update of a knowledge base.\n    Verifies that the endpoint handles partial updates correctly.\n    \"\"\"\n    # Setup mocks\n    with patch(\"backend.apps.vectordatabase_app.get_current_user_id\", return_value=(auth_data[\"user_id\"], auth_data[\"tenant_id\"])), \\\n            patch(\"backend.apps.vectordatabase_app.ElasticSearchService.update_knowledge_base\") as mock_update:\n\n        mock_update.return_value = True\n\n        # Execute request with only name update\n        payload = {\n            \"knowledge_name\": \"Only Name Updated\"\n        }\n        response = client.patch(\n            f\"/indices/{auth_data['index_name']}\",\n            json=payload,\n            headers=auth_data[\"auth_header\"]\n        )\n\n        # Verify\n        assert response.status_code == 200\n        mock_update.assert_called_once_with(\n            index_name=auth_data[\"index_name\"],\n            knowledge_name=\"Only Name Updated\",\n            ingroup_permission=None,\n            group_ids=None,\n            tenant_id=auth_data[\"tenant_id\"],\n            user_id=auth_data[\"user_id\"]\n        )\n\n\n@pytest.mark.asyncio\nasync def test_update_index_value_error(auth_data):\n    \"\"\"\n    Test updating a knowledge base with invalid permission value.\n    Verifies that the endpoint returns 400 BAD_REQUEST for invalid permission.\n    \"\"\"\n    # Setup mocks\n    with patch(\"backend.apps.vectordatabase_app.get_current_user_id\", return_value=(auth_data[\"user_id\"], auth_data[\"tenant_id\"])), \\\n            patch(\"backend.apps.vectordatabase_app.ElasticSearchService.update_knowledge_base\") as mock_update:\n\n        mock_update.side_effect = ValueError(\n            \"Invalid ingroup_permission. Must be one of: ['EDIT', 'READ_ONLY', 'PRIVATE']\")\n\n        # Execute request with invalid permission\n        payload = {\n            \"ingroup_permission\": \"INVALID_PERMISSION\"\n        }\n        response = client.patch(\n            f\"/indices/{auth_data['index_name']}\",\n            json=payload,\n            headers=auth_data[\"auth_header\"]\n        )\n\n        # Verify\n        assert response.status_code == 400\n        assert \"Invalid ingroup_permission\" in response.json()[\"detail\"]\n\n\n@pytest.mark.asyncio\nasync def test_update_index_not_found(auth_data):\n    \"\"\"\n    Test updating a non-existent knowledge base.\n    Verifies that the endpoint returns 404 NOT_FOUND when knowledge base doesn't exist.\n    \"\"\"\n    # Setup mocks\n    with patch(\"backend.apps.vectordatabase_app.get_current_user_id\", return_value=(auth_data[\"user_id\"], auth_data[\"tenant_id\"])), \\\n            patch(\"backend.apps.vectordatabase_app.ElasticSearchService.update_knowledge_base\") as mock_update:\n\n        mock_update.return_value = False  # Knowledge base not found\n\n        # Execute request\n        payload = {\n            \"knowledge_name\": \"New Name\"\n        }\n        response = client.patch(\n            f\"/indices/{auth_data['index_name']}\",\n            json=payload,\n            headers=auth_data[\"auth_header\"]\n        )\n\n        # Verify\n        assert response.status_code == 404\n        assert auth_data[\"index_name\"] in response.json()[\"detail\"]\n\n\n@pytest.mark.asyncio\nasync def test_update_index_exception(auth_data):\n    \"\"\"\n    Test updating a knowledge base with general exception.\n    Verifies that the endpoint returns 500 INTERNAL_SERVER_ERROR on error.\n    \"\"\"\n    # Setup mocks\n    with patch(\"backend.apps.vectordatabase_app.get_current_user_id\", return_value=(auth_data[\"user_id\"], auth_data[\"tenant_id\"])), \\\n            patch(\"backend.apps.vectordatabase_app.ElasticSearchService.update_knowledge_base\") as mock_update:\n\n        mock_update.side_effect = Exception(\"Database error\")\n\n        # Execute request\n        payload = {\n            \"knowledge_name\": \"New Name\"\n        }\n        response = client.patch(\n            f\"/indices/{auth_data['index_name']}\",\n            json=payload,\n            headers=auth_data[\"auth_header\"]\n        )\n\n        # Verify\n        assert response.status_code == 500\n        assert \"Error updating index\" in response.json()[\"detail\"]\n\n\n@pytest.mark.asyncio\nasync def test_update_index_auth_exception(auth_data):\n    \"\"\"\n    Test updating a knowledge base with authentication exception.\n    Verifies that the endpoint returns 500 INTERNAL_SERVER_ERROR when auth fails.\n    \"\"\"\n    # Setup mocks\n    with patch(\"backend.apps.vectordatabase_app.get_current_user_id\") as mock_get_user:\n\n        mock_get_user.side_effect = Exception(\"Invalid authorization token\")\n\n        # Execute request\n        payload = {\n            \"knowledge_name\": \"New Name\"\n        }\n        response = client.patch(\n            f\"/indices/{auth_data['index_name']}\",\n            json=payload,\n            headers=auth_data[\"auth_header\"]\n        )\n\n        # Verify\n        assert response.status_code == 500\n        assert \"Error updating index\" in response.json()[\"detail\"]\n        mock_get_user.assert_called_once()\n\n\n@pytest.mark.asyncio\nasync def test_delete_index_exception(vdb_core_mock, auth_data):\n    \"\"\"\n    Test deleting an index with exception.\n    Verifies that the endpoint returns an appropriate error response when an exception occurs during deletion.\n    \"\"\"\n    # Setup mocks\n    with patch(\"backend.apps.vectordatabase_app.get_vector_db_core\", return_value=vdb_core_mock), \\\n            patch(\"backend.apps.vectordatabase_app.get_current_user_id\", return_value=(auth_data[\"user_id\"], auth_data[\"tenant_id\"])), \\\n            patch(\"backend.apps.vectordatabase_app.ElasticSearchService.full_delete_knowledge_base\") as mock_full_delete:\n\n        # Setup the mock to raise an exception\n        mock_full_delete.side_effect = Exception(\"Database connection failed\")\n\n        # Execute request\n        response = client.delete(\n            f\"/indices/{auth_data['index_name']}\", headers=auth_data[\"auth_header\"])\n\n        # Verify expected 500 status code\n        assert response.status_code == 500\n\n        # Verify error response\n        expected_error_detail = f\"Error deleting index: Database connection failed\"\n        assert response.json() == {\"detail\": expected_error_detail}\n\n        # Verify full_delete_knowledge_base was called with the correct parameters\n        mock_full_delete.assert_called_once_with(\n            auth_data[\"index_name\"],\n            ANY,  # Use ANY instead of vdb_core_mock to ignore object identity\n            auth_data[\"user_id\"]\n        )\n\n\n@pytest.mark.asyncio\nasync def test_delete_index_auth_exception(vdb_core_mock, auth_data):\n    \"\"\"\n    Test deleting an index with authentication exception.\n    Verifies that the endpoint returns an appropriate error response when authentication fails.\n    \"\"\"\n    # Setup mocks\n    with patch(\"backend.apps.vectordatabase_app.get_vector_db_core\", return_value=vdb_core_mock), \\\n            patch(\"backend.apps.vectordatabase_app.get_current_user_id\") as mock_get_user:\n\n        # Setup the mock to raise an authentication exception\n        mock_get_user.side_effect = Exception(\"Invalid authorization token\")\n\n        # Execute request\n        response = client.delete(\n            f\"/indices/{auth_data['index_name']}\", headers=auth_data[\"auth_header\"])\n\n        # Verify expected 500 status code\n        assert response.status_code == 500\n\n        # Verify error response\n        expected_error_detail = f\"Error deleting index: Invalid authorization token\"\n        assert response.json() == {\"detail\": expected_error_detail}\n\n        # Verify get_current_user_id was called\n        mock_get_user.assert_called_once()\n\n\n@pytest.mark.asyncio\nasync def test_delete_documents_success(vdb_core_mock, redis_service_mock):\n    \"\"\"\n    Test deleting documents successfully.\n    Verifies that the endpoint returns the expected response and performs Redis cleanup.\n    \"\"\"\n    # Setup mocks\n    with patch(\"backend.apps.vectordatabase_app.get_vector_db_core\", return_value=vdb_core_mock), \\\n            patch(\"backend.apps.vectordatabase_app.get_redis_service\", return_value=redis_service_mock), \\\n            patch(\"backend.apps.vectordatabase_app.ElasticSearchService.delete_documents\") as mock_delete_docs:\n\n        index_name = \"test_index\"\n        path_or_url = \"test_document.pdf\"\n\n        # Setup the return value for delete_documents\n        es_result = {\n            \"status\": \"success\",\n            \"message\": \"Documents deleted successfully\",\n            \"deleted_count\": 5\n        }\n        mock_delete_docs.return_value = es_result\n\n        # Setup the mock for delete_document_records\n        redis_result = {\n            \"index_name\": index_name,\n            \"path_or_url\": path_or_url,\n            \"total_deleted\": 3,\n            \"celery_tasks_deleted\": 2,\n            \"cache_keys_deleted\": 1\n        }\n        redis_service_mock.delete_document_records.return_value = redis_result\n\n        # Execute request\n        response = client.delete(\n            f\"/indices/{index_name}/documents\", params={\"path_or_url\": path_or_url})\n\n        # Verify expected 200 status code\n        assert response.status_code == 200\n\n        # Get the actual response\n        actual_response = response.json()\n\n        # Verify essential response elements\n        assert actual_response[\"status\"] == \"success\"\n        assert \"Documents deleted successfully\" in actual_response[\"message\"]\n        assert \"Cleaned up 3 Redis records\" in actual_response[\"message\"]\n        assert \"2 tasks\" in actual_response[\"message\"]\n        assert \"1 cache keys\" in actual_response[\"message\"]\n\n        # Verify structure contains expected keys\n        assert \"redis_cleanup\" in actual_response\n        assert actual_response[\"redis_cleanup\"] == redis_result\n\n        # Verify delete_documents was called with the correct parameters\n        # Use ANY for the vdb_core parameter because the actual object may differ\n        mock_delete_docs.assert_called_once_with(index_name, path_or_url, ANY)\n        redis_service_mock.delete_document_records.assert_called_once_with(\n            index_name, path_or_url)\n\n\n@pytest.mark.asyncio\nasync def test_delete_documents_redis_error(vdb_core_mock, redis_service_mock):\n    \"\"\"\n    Test deleting documents with Redis error.\n    Verifies that the endpoint still succeeds with ES but reports Redis cleanup error.\n    \"\"\"\n    # Setup mocks\n    with patch(\"backend.apps.vectordatabase_app.get_vector_db_core\", return_value=vdb_core_mock), \\\n            patch(\"backend.apps.vectordatabase_app.get_redis_service\", return_value=redis_service_mock), \\\n            patch(\"backend.apps.vectordatabase_app.ElasticSearchService.delete_documents\") as mock_delete_docs:\n\n        index_name = \"test_index\"\n        path_or_url = \"test_document.pdf\"\n\n        # Setup the return value for delete_documents\n        es_result = {\n            \"status\": \"success\",\n            \"message\": \"Documents deleted successfully\",\n            \"deleted_count\": 5\n        }\n        mock_delete_docs.return_value = es_result\n\n        # Setup redis error\n        redis_error_message = \"Redis connection failed\"\n        redis_service_mock.delete_document_records.side_effect = Exception(\n            redis_error_message)\n\n        # Execute request\n        response = client.delete(\n            f\"/indices/{index_name}/documents\", params={\"path_or_url\": path_or_url})\n\n        # Verify expected 200 status code (the operation should still succeed even with Redis errors)\n        assert response.status_code == 200\n\n        # Get the actual response\n        actual_response = response.json()\n\n        # Verify essential response elements\n        assert actual_response[\"status\"] == \"success\"\n        assert \"Documents deleted successfully\" in actual_response[\"message\"]\n        assert \"Redis cleanup encountered an error\" in actual_response[\"message\"]\n        assert redis_error_message in actual_response[\"message\"]\n\n        # Verify structure contains expected keys\n        assert \"redis_cleanup_error\" in actual_response\n        assert actual_response[\"redis_cleanup_error\"] == redis_error_message\n\n        # Verify delete_documents was called\n        # Use ANY for the vdb_core parameter because the actual object may differ\n        mock_delete_docs.assert_called_once_with(index_name, path_or_url, ANY)\n        redis_service_mock.delete_document_records.assert_called_once_with(\n            index_name, path_or_url)\n\n\n@pytest.mark.asyncio\nasync def test_delete_documents_es_exception(vdb_core_mock):\n    \"\"\"\n    Test deleting documents with Elasticsearch exception.\n    Verifies that the endpoint returns an appropriate error response when ES deletion fails.\n    \"\"\"\n    # Setup mocks\n    with patch(\"backend.apps.vectordatabase_app.get_vector_db_core\", return_value=vdb_core_mock), \\\n            patch(\"backend.apps.vectordatabase_app.ElasticSearchService.delete_documents\") as mock_delete_docs:\n\n        index_name = \"test_index\"\n        path_or_url = \"test_document.pdf\"\n\n        # Setup the mock to raise an exception\n        mock_delete_docs.side_effect = Exception(\n            \"Elasticsearch deletion failed\")\n\n        # Execute request\n        response = client.delete(\n            f\"/indices/{index_name}/documents\", params={\"path_or_url\": path_or_url})\n\n        # Verify expected 500 status code\n        assert response.status_code == 500\n\n        # Verify error response\n        expected_error_detail = \"Error delete indexing documents: Elasticsearch deletion failed\"\n        assert response.json() == {\"detail\": expected_error_detail}\n\n        # Verify delete_documents was called\n        # Use ANY for the vdb_core parameter because the actual object may differ\n        mock_delete_docs.assert_called_once_with(index_name, path_or_url, ANY)\n\n\n@pytest.mark.asyncio\nasync def test_delete_documents_redis_warnings(vdb_core_mock, redis_service_mock):\n    \"\"\"\n    Test deleting documents with Redis warnings.\n    Verifies that the endpoint handles Redis warnings properly.\n    \"\"\"\n    # Setup mocks\n    with patch(\"backend.apps.vectordatabase_app.get_vector_db_core\", return_value=vdb_core_mock), \\\n            patch(\"backend.apps.vectordatabase_app.get_redis_service\", return_value=redis_service_mock), \\\n            patch(\"backend.apps.vectordatabase_app.ElasticSearchService.delete_documents\") as mock_delete_docs:\n\n        index_name = \"test_index\"\n        path_or_url = \"test_document.pdf\"\n\n        # Setup the return value for delete_documents\n        es_result = {\n            \"status\": \"success\",\n            \"message\": \"Documents deleted successfully\",\n            \"deleted_count\": 5\n        }\n        mock_delete_docs.return_value = es_result\n\n        # Setup the mock for delete_document_records with warnings\n        redis_result = {\n            \"index_name\": index_name,\n            \"path_or_url\": path_or_url,\n            \"total_deleted\": 2,\n            \"celery_tasks_deleted\": 1,\n            \"cache_keys_deleted\": 1,\n            \"errors\": [\"Some cache keys could not be deleted\"]\n        }\n        redis_service_mock.delete_document_records.return_value = redis_result\n\n        # Execute request\n        response = client.delete(\n            f\"/indices/{index_name}/documents\", params={\"path_or_url\": path_or_url})\n\n        # Verify expected 200 status code\n        assert response.status_code == 200\n\n        # Get the actual response\n        actual_response = response.json()\n\n        # Verify essential response elements\n        assert actual_response[\"status\"] == \"success\"\n        assert \"Documents deleted successfully\" in actual_response[\"message\"]\n        assert \"Cleaned up 2 Redis records\" in actual_response[\"message\"]\n\n        # Verify structure contains expected keys\n        assert \"redis_cleanup\" in actual_response\n        assert \"redis_warnings\" in actual_response\n        assert actual_response[\"redis_warnings\"] == [\n            \"Some cache keys could not be deleted\"]\n\n        # Verify delete_documents was called\n        # Use ANY for the vdb_core parameter because the actual object may differ\n        mock_delete_docs.assert_called_once_with(index_name, path_or_url, ANY)\n        redis_service_mock.delete_document_records.assert_called_once_with(\n            index_name, path_or_url)\n\n\n@pytest.mark.asyncio\nasync def test_delete_documents_validation_exception(vdb_core_mock):\n    \"\"\"\n    Test deleting documents with validation exception.\n    Verifies that the endpoint returns an appropriate error response when validation fails.\n    \"\"\"\n    # Setup mocks\n    with patch(\"backend.apps.vectordatabase_app.get_vector_db_core\", return_value=vdb_core_mock), \\\n            patch(\"backend.apps.vectordatabase_app.ElasticSearchService.delete_documents\") as mock_delete_docs:\n\n        index_name = \"test_index\"\n        path_or_url = \"test_document.pdf\"\n\n        # Setup the mock to raise a validation exception\n        mock_delete_docs.side_effect = ValueError(\n            \"Invalid document path format\")\n\n        # Execute request\n        response = client.delete(\n            f\"/indices/{index_name}/documents\", params={\"path_or_url\": path_or_url})\n\n        # Verify expected 500 status code\n        assert response.status_code == 500\n\n        # Verify error response\n        expected_error_detail = \"Error delete indexing documents: Invalid document path format\"\n        assert response.json() == {\"detail\": expected_error_detail}\n\n        # Verify delete_documents was called\n        # Use ANY for the vdb_core parameter because the actual object may differ\n        mock_delete_docs.assert_called_once_with(index_name, path_or_url, ANY)\n\n\n@pytest.mark.asyncio\nasync def test_health_check_exception(vdb_core_mock):\n    \"\"\"\n    Test health check endpoint with exception.\n    Verifies that the endpoint returns an appropriate error response when an exception occurs during health check.\n    \"\"\"\n    # Setup mocks\n    with patch(\"backend.apps.vectordatabase_app.get_vector_db_core\", return_value=vdb_core_mock), \\\n            patch(\"backend.apps.vectordatabase_app.ElasticSearchService.health_check\") as mock_health:\n        # Setup the mock to raise an exception\n        mock_health.side_effect = Exception(\"Elasticsearch connection failed\")\n\n        # Execute request\n        response = client.get(\"/indices/health\")\n\n        # Verify expected 500 status code\n        assert response.status_code == 500\n\n        # Verify error response\n        expected_error_detail = \"Elasticsearch connection failed\"\n        assert response.json() == {\"detail\": expected_error_detail}\n\n        # Verify health_check was called\n        # Use ANY for the vdb_core parameter because the actual object may differ\n        mock_health.assert_called_once_with(ANY)\n\n\n@pytest.mark.asyncio\nasync def test_get_document_error_info_not_found(vdb_core_mock, auth_data):\n    \"\"\"\n    Test document error info when document is not found.\n    \"\"\"\n    with patch(\"backend.apps.vectordatabase_app.get_all_files_status\", new=AsyncMock(return_value={})):\n        response = client.get(\n            f\"/indices/{auth_data['index_name']}/documents/missing_doc/error-info\",\n            headers=auth_data[\"auth_header\"],\n        )\n\n    assert response.status_code == 404\n    assert \"not found\" in response.json()[\"detail\"]\n\n\n@pytest.mark.asyncio\nasync def test_get_document_error_info_no_task_id(auth_data):\n    \"\"\"\n    Test document error info when task id is empty.\n    \"\"\"\n    with patch(\n        \"backend.apps.vectordatabase_app.get_all_files_status\",\n        new=AsyncMock(\n            return_value={\n                \"doc-1\": {\n                    \"latest_task_id\": \"\"\n                }\n            }\n        ),\n    ), patch(\"backend.apps.vectordatabase_app.get_redis_service\") as mock_redis:\n        response = client.get(\n            \"/indices/test_index/documents/doc-1/error-info\",\n            headers=auth_data[\"auth_header\"],\n        )\n\n    assert response.status_code == 200\n    assert response.json() == {\"status\": \"success\", \"error_code\": None}\n    mock_redis.assert_not_called()\n\n\n@pytest.mark.asyncio\nasync def test_get_document_error_info_json_error_code(auth_data):\n    \"\"\"\n    Test document error info JSON parsing for error_code.\n    \"\"\"\n    redis_mock = MagicMock()\n    redis_mock.get_error_info.return_value = '{\"error_code\": \"INVALID_FORMAT\"}'\n\n    with patch(\n        \"backend.apps.vectordatabase_app.get_all_files_status\",\n        new=AsyncMock(\n            return_value={\n                \"doc-1\": {\n                    \"latest_task_id\": \"task-123\"\n                }\n            }\n        ),\n    ), patch(\n        \"backend.apps.vectordatabase_app.get_redis_service\",\n        return_value=redis_mock,\n    ):\n        response = client.get(\n            \"/indices/test_index/documents/doc-1/error-info\",\n            headers=auth_data[\"auth_header\"],\n        )\n\n    assert response.status_code == 200\n    assert response.json() == {\"status\": \"success\", \"error_code\": \"INVALID_FORMAT\"}\n    redis_mock.get_error_info.assert_called_once_with(\"task-123\")\n\n\n@pytest.mark.asyncio\nasync def test_get_document_error_info_regex_error_code(auth_data):\n    \"\"\"\n    Test document error info regex extraction when JSON parsing fails.\n    \"\"\"\n    redis_mock = MagicMock()\n    redis_mock.get_error_info.return_value = \"oops {'error_code': 'TIMEOUT_ERROR'}\"\n\n    with patch(\n        \"backend.apps.vectordatabase_app.get_all_files_status\",\n        new=AsyncMock(\n            return_value={\n                \"doc-1\": {\n                    \"latest_task_id\": \"task-999\"\n                }\n            }\n        ),\n    ), patch(\n        \"backend.apps.vectordatabase_app.get_redis_service\",\n        return_value=redis_mock,\n    ):\n        response = client.get(\n            \"/indices/test_index/documents/doc-1/error-info\",\n            headers=auth_data[\"auth_header\"],\n        )\n\n    assert response.status_code == 200\n    assert response.json() == {\"status\": \"success\", \"error_code\": \"TIMEOUT_ERROR\"}\n    redis_mock.get_error_info.assert_called_once_with(\"task-999\")\n\n\n@pytest.mark.asyncio\nasync def test_health_check_timeout_exception(vdb_core_mock):\n    \"\"\"\n    Test health check endpoint with timeout exception.\n    Verifies that the endpoint returns an appropriate error response when operation times out.\n    \"\"\"\n    # Setup mocks\n    with patch(\"backend.apps.vectordatabase_app.get_vector_db_core\", return_value=vdb_core_mock), \\\n            patch(\"backend.apps.vectordatabase_app.ElasticSearchService.health_check\") as mock_health:\n\n        # Setup the mock to raise a timeout exception\n        mock_health.side_effect = TimeoutError(\"Health check timed out\")\n\n        # Execute request\n        response = client.get(\"/indices/health\")\n\n        # Verify expected 500 status code\n        assert response.status_code == 500\n\n        # Verify error response\n        expected_error_detail = \"Health check timed out\"\n        assert response.json() == {\"detail\": expected_error_detail}\n\n        # Verify health_check was called\n        mock_health.assert_called_once_with(ANY)\n\n\n@pytest.mark.asyncio\nasync def test_health_check_connection_exception(vdb_core_mock):\n    \"\"\"\n    Test health check endpoint with connection exception.\n    Verifies that the endpoint returns an appropriate error response when connection fails.\n    \"\"\"\n    # Setup mocks\n    with patch(\"backend.apps.vectordatabase_app.get_vector_db_core\", return_value=vdb_core_mock), \\\n            patch(\"backend.apps.vectordatabase_app.ElasticSearchService.health_check\") as mock_health:\n\n        # Setup the mock to raise a connection exception\n        mock_health.side_effect = ConnectionError(\n            \"Unable to connect to Elasticsearch\")\n\n        # Execute request\n        response = client.get(\"/indices/health\")\n\n        # Verify expected 500 status code\n        assert response.status_code == 500\n\n        # Verify error response\n        expected_error_detail = \"Unable to connect to Elasticsearch\"\n        assert response.json() == {\"detail\": expected_error_detail}\n\n        # Verify health_check was called\n        mock_health.assert_called_once_with(ANY)\n\n\n@pytest.mark.asyncio\nasync def test_health_check_permission_exception(vdb_core_mock):\n    \"\"\"\n    Test health check endpoint with permission exception.\n    Verifies that the endpoint returns an appropriate error response when permission is denied.\n    \"\"\"\n    # Setup mocks\n    with patch(\"backend.apps.vectordatabase_app.get_vector_db_core\", return_value=vdb_core_mock), \\\n            patch(\"backend.apps.vectordatabase_app.ElasticSearchService.health_check\") as mock_health:\n\n        # Setup the mock to raise a permission exception\n        mock_health.side_effect = PermissionError(\n            \"Access denied to Elasticsearch\")\n\n        # Execute request\n        response = client.get(\"/indices/health\")\n\n        # Verify expected 500 status code\n        assert response.status_code == 500\n\n        # Verify error response\n        expected_error_detail = \"Access denied to Elasticsearch\"\n        assert response.json() == {\"detail\": expected_error_detail}\n\n        # Verify health_check was called\n        mock_health.assert_called_once_with(ANY)\n\n\n@pytest.mark.asyncio\nasync def test_health_check_validation_exception(vdb_core_mock):\n    \"\"\"\n    Test health check endpoint with validation exception.\n    Verifies that the endpoint returns an appropriate error response when validation fails.\n    \"\"\"\n    # Setup mocks\n    with patch(\"backend.apps.vectordatabase_app.get_vector_db_core\", return_value=vdb_core_mock), \\\n            patch(\"backend.apps.vectordatabase_app.ElasticSearchService.health_check\") as mock_health:\n\n        # Setup the mock to raise a validation exception\n        mock_health.side_effect = ValueError(\n            \"Invalid Elasticsearch configuration\")\n\n        # Execute request\n        response = client.get(\"/indices/health\")\n\n        # Verify expected 500 status code\n        assert response.status_code == 500\n\n        # Verify error response\n        expected_error_detail = \"Invalid Elasticsearch configuration\"\n        assert response.json() == {\"detail\": expected_error_detail}\n\n        # Verify health_check was called\n        mock_health.assert_called_once_with(ANY)\n\n\n@pytest.mark.asyncio\nasync def test_hybrid_search_success(vdb_core_mock, auth_data):\n    \"\"\"\n    Test hybrid search endpoint successfully.\n    Verifies that the endpoint returns the expected response when hybrid search succeeds.\n    \"\"\"\n    # Setup mocks\n    with patch(\"backend.apps.vectordatabase_app.get_vector_db_core\", return_value=vdb_core_mock), \\\n            patch(\"backend.apps.vectordatabase_app.get_current_user_id\", return_value=(auth_data[\"user_id\"], auth_data[\"tenant_id\"])), \\\n            patch(\"backend.apps.vectordatabase_app.ElasticSearchService.search_hybrid\") as mock_search_hybrid:\n\n        expected_response = {\n            \"results\": [\n                {\n                    \"title\": \"Doc1\",\n                    \"content\": \"Content1\",\n                    \"score\": 0.90,\n                    \"index\": \"test_index\",\n                    \"score_details\": {\"accurate\": 0.85, \"semantic\": 0.95}\n                }\n            ],\n            \"total\": 1,\n            \"query_time_ms\": 50\n        }\n        mock_search_hybrid.return_value = expected_response\n\n        # Execute request\n        payload = {\n            \"index_names\": [\"test_index\"],\n            \"query\": \"test query\",\n            \"top_k\": 10,\n            \"weight_accurate\": 0.5\n        }\n        response = client.post(\n            \"/indices/search/hybrid\",\n            json=payload,\n            headers=auth_data[\"auth_header\"]\n        )\n\n        # Verify\n        assert response.status_code == 200\n        assert response.json() == expected_response\n        mock_search_hybrid.assert_called_once_with(\n            index_names=[\"test_index\"],\n            query=\"test query\",\n            tenant_id=auth_data[\"tenant_id\"],\n            top_k=10,\n            weight_accurate=0.5,\n            vdb_core=ANY\n        )\n\n\n@pytest.mark.asyncio\nasync def test_hybrid_search_value_error(vdb_core_mock, auth_data):\n    \"\"\"\n    Test hybrid search endpoint with ValueError.\n    Verifies that the endpoint returns 400 BAD_REQUEST when validation fails.\n    \"\"\"\n    # Setup mocks\n    with patch(\"backend.apps.vectordatabase_app.get_vector_db_core\", return_value=vdb_core_mock), \\\n            patch(\"backend.apps.vectordatabase_app.get_current_user_id\", return_value=(auth_data[\"user_id\"], auth_data[\"tenant_id\"])), \\\n            patch(\"backend.apps.vectordatabase_app.ElasticSearchService.search_hybrid\") as mock_search_hybrid:\n\n        mock_search_hybrid.side_effect = ValueError(\"Query text is required\")\n\n        # Execute request\n        payload = {\n            \"index_names\": [\"test_index\"],\n            \"query\": \"\",\n            \"top_k\": 10,\n            \"weight_accurate\": 0.5\n        }\n        response = client.post(\n            \"/indices/search/hybrid\",\n            json=payload,\n            headers=auth_data[\"auth_header\"]\n        )\n\n        # Verify\n        assert response.status_code == 400\n        assert response.json() == {\"detail\": \"Query text is required\"}\n\n\n@pytest.mark.asyncio\nasync def test_get_index_chunks_value_error(vdb_core_mock):\n    \"\"\"\n    Test get_index_chunks maps ValueError to 404.\n    \"\"\"\n    index_name = \"test_index\"\n    with patch(\"backend.apps.vectordatabase_app.get_vector_db_core\", return_value=vdb_core_mock), \\\n        patch(\"backend.apps.vectordatabase_app.get_index_name_by_knowledge_name\", return_value=\"resolved_index\"), \\\n        patch(\"backend.apps.vectordatabase_app.ElasticSearchService.get_index_chunks\") as mock_get_chunks:\n\n        mock_get_chunks.side_effect = ValueError(\"Unknown index\")\n\n        response = client.post(f\"/indices/{index_name}/chunks\")\n\n    assert response.status_code == 404\n    assert response.json() == {\"detail\": \"Unknown index\"}\n    mock_get_chunks.assert_called_once_with(\n        index_name=\"resolved_index\",\n        page=None,\n        page_size=None,\n        path_or_url=None,\n        vdb_core=ANY,\n    )\n\n\n@pytest.mark.asyncio\nasync def test_create_chunk_value_error(vdb_core_mock, auth_data):\n    \"\"\"\n    Test create_chunk maps ValueError to 404.\n    \"\"\"\n    with patch(\"backend.apps.vectordatabase_app.get_vector_db_core\", return_value=vdb_core_mock), \\\n        patch(\"backend.apps.vectordatabase_app.get_current_user_id\", return_value=(auth_data[\"user_id\"], auth_data[\"tenant_id\"])), \\\n        patch(\"backend.apps.vectordatabase_app.get_index_name_by_knowledge_name\", return_value=auth_data[\"index_name\"]), \\\n        patch(\"backend.apps.vectordatabase_app.ElasticSearchService.create_chunk\") as mock_create:\n\n        mock_create.side_effect = ValueError(\"Invalid chunk payload\")\n\n        payload = {\n            \"content\": \"Hello world\",\n            \"path_or_url\": \"doc-1\",\n        }\n\n        response = client.post(\n            f\"/indices/{auth_data['index_name']}/chunk\",\n            json=payload,\n            headers=auth_data[\"auth_header\"],\n        )\n\n    assert response.status_code == 404\n    assert response.json() == {\"detail\": \"Invalid chunk payload\"}\n    mock_create.assert_called_once()\n\n\n@pytest.mark.asyncio\nasync def test_hybrid_search_exception(vdb_core_mock, auth_data):\n    \"\"\"\n    Test hybrid search endpoint with general exception.\n    Verifies that the endpoint returns 500 INTERNAL_SERVER_ERROR when search fails.\n    \"\"\"\n    # Setup mocks\n    with patch(\"backend.apps.vectordatabase_app.get_vector_db_core\", return_value=vdb_core_mock), \\\n            patch(\"backend.apps.vectordatabase_app.get_current_user_id\", return_value=(auth_data[\"user_id\"], auth_data[\"tenant_id\"])), \\\n            patch(\"backend.apps.vectordatabase_app.ElasticSearchService.search_hybrid\") as mock_search_hybrid:\n\n        mock_search_hybrid.side_effect = Exception(\"Search execution failed\")\n\n        # Execute request\n        payload = {\n            \"index_names\": [\"test_index\"],\n            \"query\": \"test query\",\n            \"top_k\": 10,\n            \"weight_accurate\": 0.5\n        }\n        response = client.post(\n            \"/indices/search/hybrid\",\n            json=payload,\n            headers=auth_data[\"auth_header\"]\n        )\n\n        # Verify\n        assert response.status_code == 500\n        assert response.json() == {\"detail\": \"Error executing hybrid search: Search execution failed\"}\n"
  },
  {
    "path": "test/backend/app/test_voice_app.py",
    "content": "import os\nimport sys\nimport pytest\n\nfrom unittest.mock import Mock, AsyncMock, patch\nfrom fastapi import FastAPI\nfrom fastapi.testclient import TestClient\n\nsys.path.insert(0, os.path.join(os.path.dirname(__file__), \"../../../backend\"))\n\nfrom consts.exceptions import (\n    VoiceServiceException,\n    STTConnectionException, \n    TTSConnectionException,\n    VoiceConfigException\n)\n\n\n# Mock voice service\nclass MockVoiceService:\n    def __init__(self):\n        self.start_stt_streaming_session = AsyncMock()\n        # Make stream_tts_to_websocket complete immediately\n        self.stream_tts_to_websocket = AsyncMock(return_value=None)\n        self.check_voice_connectivity = AsyncMock(return_value=True)\n\n\n# Now import the app under test\nfrom apps.voice_app import voice_runtime_router, voice_config_router\n\n\nclass TestVoiceApp:\n    \"\"\"Test cases for voice app endpoints\"\"\"\n\n    def setup_method(self):\n        \"\"\"Set up test fixtures\"\"\"\n        self.app = FastAPI()\n        self.app.include_router(voice_runtime_router)\n        self.app.include_router(voice_config_router)\n        self.client = TestClient(self.app)\n\n    def test_stt_websocket_success(self):\n        \"\"\"Test successful STT WebSocket connection\"\"\"\n        with patch('apps.voice_app.get_voice_service') as mock_get_service:\n            mock_service = MockVoiceService()\n            mock_get_service.return_value = mock_service\n            \n            with self.client.websocket_connect(\"/voice/stt/ws\") as websocket:\n                # WebSocket connection should be established\n                assert websocket is not None\n                # Verify service method was called\n                mock_service.start_stt_streaming_session.assert_called_once()\n\n    def test_stt_websocket_stt_connection_error(self):\n        \"\"\"Test STT WebSocket with STT connection error\"\"\"\n        with patch('apps.voice_app.get_voice_service') as mock_get_service:\n            mock_service = MockVoiceService()\n            mock_service.start_stt_streaming_session.side_effect = STTConnectionException(\"STT connection failed\")\n            mock_get_service.return_value = mock_service\n            \n            with self.client.websocket_connect(\"/voice/stt/ws\") as websocket:\n                # Should receive error message\n                data = websocket.receive_json()\n                assert \"error\" in data\n                assert \"STT connection failed\" in data[\"error\"]\n\n    def test_stt_websocket_general_error(self):\n        \"\"\"Test STT WebSocket with general error\"\"\"\n        with patch('apps.voice_app.get_voice_service') as mock_get_service:\n            mock_service = MockVoiceService()\n            mock_service.start_stt_streaming_session.side_effect = Exception(\"General error\")\n            mock_get_service.return_value = mock_service\n            \n            with self.client.websocket_connect(\"/voice/stt/ws\") as websocket:\n                # Should receive error message\n                data = websocket.receive_json()\n                assert \"error\" in data\n                assert \"General error\" in data[\"error\"]\n\n    def test_tts_websocket_success(self):\n        \"\"\"Test successful TTS WebSocket connection\"\"\"\n        with patch('apps.voice_app.get_voice_service') as mock_get_service:\n            mock_service = MockVoiceService()\n            mock_get_service.return_value = mock_service\n            \n            with self.client.websocket_connect(\"/voice/tts/ws\") as websocket:\n                # Send text data\n                websocket.send_json({\"text\": \"Hello, world!\"})\n                # The websocket context manager will wait for connection to close\n                # which happens after stream_tts_to_websocket completes in the finally block\n            \n            # Verify service method was called after websocket context exits\n            mock_service.stream_tts_to_websocket.assert_called_once()\n\n    def test_tts_websocket_no_text(self):\n        \"\"\"Test TTS WebSocket with no text provided\"\"\"\n        with patch('apps.voice_app.get_voice_service') as mock_get_service:\n            mock_service = MockVoiceService()\n            mock_get_service.return_value = mock_service\n            \n            with self.client.websocket_connect(\"/voice/tts/ws\") as websocket:\n                # Send empty text\n                websocket.send_json({\"text\": \"\"})\n                \n                # Should receive error message\n                data = websocket.receive_json()\n                assert \"error\" in data\n                assert \"No text provided\" in data[\"error\"]\n\n    def test_tts_websocket_tts_connection_error(self):\n        \"\"\"Test TTS WebSocket with TTS connection error\"\"\"\n        with patch('apps.voice_app.get_voice_service') as mock_get_service:\n            mock_service = MockVoiceService()\n            mock_service.stream_tts_to_websocket.side_effect = TTSConnectionException(\"TTS connection failed\")\n            mock_get_service.return_value = mock_service\n            \n            with self.client.websocket_connect(\"/voice/tts/ws\") as websocket:\n                websocket.send_json({\"text\": \"Hello, world!\"})\n                \n                # Should receive error message\n                data = websocket.receive_json()\n                assert \"error\" in data\n                assert \"TTS connection failed\" in data[\"error\"]\n\n    def test_tts_websocket_general_error(self):\n        \"\"\"Test TTS WebSocket with general error\"\"\"\n        with patch('apps.voice_app.get_voice_service') as mock_get_service:\n            mock_service = MockVoiceService()\n            mock_service.stream_tts_to_websocket.side_effect = Exception(\"General error\")\n            mock_get_service.return_value = mock_service\n            \n            with self.client.websocket_connect(\"/voice/tts/ws\") as websocket:\n                websocket.send_json({\"text\": \"Hello, world!\"})\n                \n                # Should receive error message\n                data = websocket.receive_json()\n                assert \"error\" in data\n                assert \"General error\" in data[\"error\"]\n\n    def test_check_voice_connectivity_success(self):\n        \"\"\"Test successful voice connectivity check\"\"\"\n        with patch('apps.voice_app.get_voice_service') as mock_get_service:\n            mock_service = MockVoiceService()\n            mock_service.check_voice_connectivity.return_value = True\n            mock_get_service.return_value = mock_service\n            \n            response = self.client.post(\n                \"/voice/connectivity\",\n                json={\"model_type\": \"stt\"}\n            )\n            \n            assert response.status_code == 200\n            data = response.json()\n            assert data[\"connected\"] is True\n            assert data[\"model_type\"] == \"stt\"\n            assert \"Service is connected\" in data[\"message\"]\n\n    def test_check_voice_connectivity_failure(self):\n        \"\"\"Test voice connectivity check failure\"\"\"\n        with patch('apps.voice_app.get_voice_service') as mock_get_service:\n            mock_service = MockVoiceService()\n            mock_service.check_voice_connectivity.return_value = False\n            mock_get_service.return_value = mock_service\n            \n            response = self.client.post(\n                \"/voice/connectivity\",\n                json={\"model_type\": \"tts\"}\n            )\n            \n            assert response.status_code == 200\n            data = response.json()\n            assert data[\"connected\"] is False\n            assert data[\"model_type\"] == \"tts\"\n            assert \"Service connection failed\" in data[\"message\"]\n\n    def test_check_voice_connectivity_voice_service_error(self):\n        \"\"\"Test voice connectivity check with VoiceServiceException\"\"\"\n        with patch('apps.voice_app.get_voice_service') as mock_get_service:\n            mock_service = MockVoiceService()\n            mock_service.check_voice_connectivity.side_effect = VoiceServiceException(\"Invalid model type\")\n            mock_get_service.return_value = mock_service\n            \n            response = self.client.post(\n                \"/voice/connectivity\",\n                json={\"model_type\": \"invalid\"}\n            )\n            \n            assert response.status_code == 400\n            data = response.json()\n            assert \"Invalid model type\" in data[\"detail\"]\n\n    def test_check_voice_connectivity_stt_connection_error(self):\n        \"\"\"Test voice connectivity check with STTConnectionException\"\"\"\n        with patch('apps.voice_app.get_voice_service') as mock_get_service:\n            mock_service = MockVoiceService()\n            mock_service.check_voice_connectivity.side_effect = STTConnectionException(\"STT service unavailable\")\n            mock_get_service.return_value = mock_service\n            \n            response = self.client.post(\n                \"/voice/connectivity\",\n                json={\"model_type\": \"stt\"}\n            )\n            \n            assert response.status_code == 503\n            data = response.json()\n            assert \"STT service unavailable\" in data[\"detail\"]\n\n    def test_check_voice_connectivity_tts_connection_error(self):\n        \"\"\"Test voice connectivity check with TTSConnectionException\"\"\"\n        with patch('apps.voice_app.get_voice_service') as mock_get_service:\n            mock_service = MockVoiceService()\n            mock_service.check_voice_connectivity.side_effect = TTSConnectionException(\"TTS service unavailable\")\n            mock_get_service.return_value = mock_service\n            \n            response = self.client.post(\n                \"/voice/connectivity\",\n                json={\"model_type\": \"tts\"}\n            )\n            \n            assert response.status_code == 503\n            data = response.json()\n            assert \"TTS service unavailable\" in data[\"detail\"]\n\n    def test_check_voice_connectivity_voice_config_error(self):\n        \"\"\"Test voice connectivity check with VoiceConfigException\"\"\"\n        with patch('apps.voice_app.get_voice_service') as mock_get_service:\n            mock_service = MockVoiceService()\n            mock_service.check_voice_connectivity.side_effect = VoiceConfigException(\"Configuration error\")\n            mock_get_service.return_value = mock_service\n            \n            response = self.client.post(\n                \"/voice/connectivity\",\n                json={\"model_type\": \"stt\"}\n            )\n            \n            assert response.status_code == 500\n            data = response.json()\n            assert \"Configuration error\" in data[\"detail\"]\n\n    def test_check_voice_connectivity_unexpected_error(self):\n        \"\"\"Test voice connectivity check with unexpected error\"\"\"\n        with patch('apps.voice_app.get_voice_service') as mock_get_service:\n            mock_service = MockVoiceService()\n            mock_service.check_voice_connectivity.side_effect = Exception(\"Unexpected error\")\n            mock_get_service.return_value = mock_service\n            \n            response = self.client.post(\n                \"/voice/connectivity\",\n                json={\"model_type\": \"stt\"}\n            )\n            \n            assert response.status_code == 500\n            data = response.json()\n            assert \"Voice service error\" in data[\"detail\"]\n\n    def test_check_voice_connectivity_missing_model_type(self):\n        \"\"\"Test voice connectivity check with missing model_type\"\"\"\n        response = self.client.post(\n            \"/voice/connectivity\",\n            json={}\n        )\n        \n        # Should return 422 for validation error\n        assert response.status_code == 422\n\n    def test_check_voice_connectivity_invalid_json(self):\n        \"\"\"Test voice connectivity check with invalid JSON\"\"\"\n        response = self.client.post(\n            \"/voice/connectivity\",\n            data=\"invalid json\"\n        )\n        \n        # Should return 422 for JSON parsing error\n        assert response.status_code == 422\n\n\nclass TestVoiceAppIntegration:\n    \"\"\"Integration tests for voice app with real service logic\"\"\"\n\n    def setup_method(self):\n        \"\"\"Set up test fixtures\"\"\"\n        self.app = FastAPI()\n        self.app.include_router(voice_runtime_router)\n        self.app.include_router(voice_config_router)\n        self.client = TestClient(self.app)\n\n    def test_voice_connectivity_real_logic_stt(self):\n        \"\"\"Test voice connectivity with real service logic for STT\"\"\"\n        # This test uses the actual service logic but with mocked dependencies\n        with patch('apps.voice_app.get_voice_service') as mock_get_service:\n            # Create a mock service that behaves like the real one\n            mock_service = Mock()\n            mock_service.check_voice_connectivity = AsyncMock(return_value=True)\n            mock_get_service.return_value = mock_service\n            \n            response = self.client.post(\n                \"/voice/connectivity\",\n                json={\"model_type\": \"stt\"}\n            )\n            \n            assert response.status_code == 200\n            data = response.json()\n            assert data[\"connected\"] is True\n            assert data[\"model_type\"] == \"stt\"\n            \n            # Verify the service method was called with correct parameters\n            mock_service.check_voice_connectivity.assert_called_once_with(\"stt\")\n\n    def test_voice_connectivity_real_logic_tts(self):\n        \"\"\"Test voice connectivity with real service logic for TTS\"\"\"\n        with patch('apps.voice_app.get_voice_service') as mock_get_service:\n            # Create a mock service that behaves like the real one\n            mock_service = Mock()\n            mock_service.check_voice_connectivity = AsyncMock(return_value=False)\n            mock_get_service.return_value = mock_service\n            \n            response = self.client.post(\n                \"/voice/connectivity\",\n                json={\"model_type\": \"tts\"}\n            )\n            \n            assert response.status_code == 200\n            data = response.json()\n            assert data[\"connected\"] is False\n            assert data[\"model_type\"] == \"tts\"\n            \n            # Verify the service method was called with correct parameters\n            mock_service.check_voice_connectivity.assert_called_once_with(\"tts\")\n\n    def test_stt_websocket_real_logic(self):\n        \"\"\"Test STT WebSocket with real service logic\"\"\"\n        with patch('apps.voice_app.get_voice_service') as mock_get_service:\n            # Create a mock service that behaves like the real one\n            mock_service = Mock()\n            mock_service.start_stt_streaming_session = AsyncMock()\n            mock_get_service.return_value = mock_service\n            \n            with self.client.websocket_connect(\"/voice/stt/ws\") as websocket:\n                # WebSocket connection should be established\n                assert websocket is not None\n                \n                # Verify the service method was called\n                mock_service.start_stt_streaming_session.assert_called_once()\n\n    def test_tts_websocket_real_logic(self):\n        \"\"\"Test TTS WebSocket with real service logic\"\"\"\n        with patch('apps.voice_app.get_voice_service') as mock_get_service:\n            # Create a mock service that behaves like the real one\n            mock_service = Mock()\n            mock_service.stream_tts_to_websocket = AsyncMock(return_value=None)\n            mock_get_service.return_value = mock_service\n            \n            with self.client.websocket_connect(\"/voice/tts/ws\") as websocket:\n                # Send text data\n                websocket.send_json({\"text\": \"Hello, world!\"})\n                \n                # Wait for async operation to complete\n                # The websocket context manager will wait for connection to close\n                # which happens after stream_tts_to_websocket completes\n                pass\n            \n            # Verify the service method was called with correct parameters\n            mock_service.stream_tts_to_websocket.assert_called_once()\n            \n            # Get the call arguments\n            call_args = mock_service.stream_tts_to_websocket.call_args\n            assert call_args[0][1] == \"Hello, world!\"  # Second argument should be the text\n\n\nif __name__ == \"__main__\":\n    pytest.main([__file__])\n"
  },
  {
    "path": "test/backend/consts/test_error_code.py",
    "content": "\"\"\"\nUnit tests for Error Code definitions.\n\nTests the ErrorCode enum and ERROR_CODE_HTTP_STATUS mapping\nto ensure error codes are properly defined and mapped.\n\"\"\"\nimport pytest\nfrom backend.consts.error_code import ErrorCode, ERROR_CODE_HTTP_STATUS\n\n\nclass TestErrorCodeEnum:\n    \"\"\"Test class for ErrorCode enum values.\"\"\"\n\n    def test_dify_error_codes_exist(self):\n        \"\"\"Test that all Dify-related error codes are defined.\"\"\"\n        assert ErrorCode.DIFY_SERVICE_ERROR is not None\n        assert ErrorCode.DIFY_CONFIG_INVALID is not None\n        assert ErrorCode.DIFY_CONNECTION_ERROR is not None\n        assert ErrorCode.DIFY_AUTH_ERROR is not None\n        assert ErrorCode.DIFY_RATE_LIMIT is not None\n        assert ErrorCode.DIFY_RESPONSE_ERROR is not None\n\n    def test_datamate_error_codes_exist(self):\n        \"\"\"Test that DataMate error code is defined.\"\"\"\n        assert ErrorCode.DATAMATE_CONNECTION_FAILED is not None\n\n    def test_me_error_codes_exist(self):\n        \"\"\"Test that ME service error code is defined.\"\"\"\n        assert ErrorCode.ME_CONNECTION_FAILED is not None\n\n    def test_idata_error_codes_exist(self):\n        \"\"\"Test that all iData-related error codes are defined.\"\"\"\n        assert ErrorCode.IDATA_SERVICE_ERROR is not None\n        assert ErrorCode.IDATA_CONFIG_INVALID is not None\n        assert ErrorCode.IDATA_CONNECTION_ERROR is not None\n        assert ErrorCode.IDATA_AUTH_ERROR is not None\n        assert ErrorCode.IDATA_RATE_LIMIT is not None\n        assert ErrorCode.IDATA_RESPONSE_ERROR is not None\n\n\nclass TestErrorCodeValues:\n    \"\"\"Test class for ErrorCode string values with leading zeros.\"\"\"\n\n    def test_dify_auth_error_value(self):\n        \"\"\"Test DIFY_AUTH_ERROR has correct string value.\"\"\"\n        assert ErrorCode.DIFY_AUTH_ERROR.value == \"130204\"\n\n    def test_dify_config_invalid_value(self):\n        \"\"\"Test DIFY_CONFIG_INVALID has correct string value.\"\"\"\n        assert ErrorCode.DIFY_CONFIG_INVALID.value == \"130202\"\n\n    def test_dify_connection_error_value(self):\n        \"\"\"Test DIFY_CONNECTION_ERROR has correct string value.\"\"\"\n        assert ErrorCode.DIFY_CONNECTION_ERROR.value == \"130203\"\n\n    def test_dify_service_error_value(self):\n        \"\"\"Test DIFY_SERVICE_ERROR has correct string value.\"\"\"\n        assert ErrorCode.DIFY_SERVICE_ERROR.value == \"130201\"\n\n    def test_dify_rate_limit_value(self):\n        \"\"\"Test DIFY_RATE_LIMIT has correct string value.\"\"\"\n        assert ErrorCode.DIFY_RATE_LIMIT.value == \"130205\"\n\n    def test_dify_response_error_value(self):\n        \"\"\"Test DIFY_RESPONSE_ERROR has correct string value.\"\"\"\n        assert ErrorCode.DIFY_RESPONSE_ERROR.value == \"130206\"\n\n    def test_datamate_connection_failed_value(self):\n        \"\"\"Test DATAMATE_CONNECTION_FAILED has correct string value.\"\"\"\n        assert ErrorCode.DATAMATE_CONNECTION_FAILED.value == \"130101\"\n\n    def test_me_connection_failed_value(self):\n        \"\"\"Test ME_CONNECTION_FAILED has correct string value.\"\"\"\n        assert ErrorCode.ME_CONNECTION_FAILED.value == \"130301\"\n\n    def test_idata_service_error_value(self):\n        \"\"\"Test IDATA_SERVICE_ERROR has correct string value.\"\"\"\n        assert ErrorCode.IDATA_SERVICE_ERROR.value == \"130401\"\n\n    def test_idata_config_invalid_value(self):\n        \"\"\"Test IDATA_CONFIG_INVALID has correct string value.\"\"\"\n        assert ErrorCode.IDATA_CONFIG_INVALID.value == \"130402\"\n\n    def test_idata_connection_error_value(self):\n        \"\"\"Test IDATA_CONNECTION_ERROR has correct string value.\"\"\"\n        assert ErrorCode.IDATA_CONNECTION_ERROR.value == \"130403\"\n\n    def test_idata_auth_error_value(self):\n        \"\"\"Test IDATA_AUTH_ERROR has correct string value.\"\"\"\n        assert ErrorCode.IDATA_AUTH_ERROR.value == \"130404\"\n\n    def test_idata_rate_limit_value(self):\n        \"\"\"Test IDATA_RATE_LIMIT has correct string value.\"\"\"\n        assert ErrorCode.IDATA_RATE_LIMIT.value == \"130405\"\n\n    def test_idata_response_error_value(self):\n        \"\"\"Test IDATA_RESPONSE_ERROR has correct string value.\"\"\"\n        assert ErrorCode.IDATA_RESPONSE_ERROR.value == \"130406\"\n\n    def test_common_validation_error_value(self):\n        \"\"\"Test COMMON_VALIDATION_ERROR has correct string value.\"\"\"\n        assert ErrorCode.COMMON_VALIDATION_ERROR.value == \"000101\"\n\n    def test_common_unauthorized_value(self):\n        \"\"\"Test COMMON_UNAUTHORIZED has correct string value.\"\"\"\n        assert ErrorCode.COMMON_UNAUTHORIZED.value == \"000201\"\n\n    def test_common_token_expired_value(self):\n        \"\"\"Test COMMON_TOKEN_EXPIRED has correct string value.\"\"\"\n        assert ErrorCode.COMMON_TOKEN_EXPIRED.value == \"000203\"\n\n    def test_common_token_invalid_value(self):\n        \"\"\"Test COMMON_TOKEN_INVALID has correct string value.\"\"\"\n        assert ErrorCode.COMMON_TOKEN_INVALID.value == \"000204\"\n\n    def test_common_rate_limit_exceeded_value(self):\n        \"\"\"Test COMMON_RATE_LIMIT_EXCEEDED has correct string value.\"\"\"\n        assert ErrorCode.COMMON_RATE_LIMIT_EXCEEDED.value == \"000302\"\n\n    def test_file_not_found_value(self):\n        \"\"\"Test FILE_NOT_FOUND has correct string value.\"\"\"\n        assert ErrorCode.FILE_NOT_FOUND.value == \"000401\"\n\n    def test_file_too_large_value(self):\n        \"\"\"Test FILE_TOO_LARGE has correct string value.\"\"\"\n        assert ErrorCode.FILE_TOO_LARGE.value == \"000403\"\n\n    def test_common_resource_not_found_value(self):\n        \"\"\"Test COMMON_RESOURCE_NOT_FOUND has correct string value.\"\"\"\n        assert ErrorCode.COMMON_RESOURCE_NOT_FOUND.value == \"000501\"\n\n    def test_chat_conversation_not_found_value(self):\n        \"\"\"Test CHAT_CONVERSATION_NOT_FOUND has correct string value.\"\"\"\n        assert ErrorCode.CHAT_CONVERSATION_NOT_FOUND.value == \"010101\"\n\n    def test_knowledge_not_found_value(self):\n        \"\"\"Test KNOWLEDGE_NOT_FOUND has correct string value.\"\"\"\n        assert ErrorCode.KNOWLEDGE_NOT_FOUND.value == \"060101\"\n\n    def test_memory_not_found_value(self):\n        \"\"\"Test MEMORY_NOT_FOUND has correct string value.\"\"\"\n        assert ErrorCode.MEMORY_NOT_FOUND.value == \"100101\"\n\n    def test_model_not_found_value(self):\n        \"\"\"Test MODEL_NOT_FOUND has correct string value.\"\"\"\n        assert ErrorCode.MODEL_NOT_FOUND.value == \"090101\"\n\n    def test_mcp_connection_failed_value(self):\n        \"\"\"Test MCP_CONNECTION_FAILED has correct string value.\"\"\"\n        assert ErrorCode.MCP_CONNECTION_FAILED.value == \"070201\"\n\n    def test_northbound_request_failed_value(self):\n        \"\"\"Test NORTHBOUND_REQUEST_FAILED has correct string value.\"\"\"\n        assert ErrorCode.NORTHBOUND_REQUEST_FAILED.value == \"140101\"\n\n    def test_dataprocess_task_failed_value(self):\n        \"\"\"Test DATAPROCESS_TASK_FAILED has correct string value.\"\"\"\n        assert ErrorCode.DATAPROCESS_TASK_FAILED.value == \"150101\"\n\n    def test_system_unknown_error_value(self):\n        \"\"\"Test SYSTEM_UNKNOWN_ERROR has correct string value.\"\"\"\n        assert ErrorCode.SYSTEM_UNKNOWN_ERROR.value == \"990101\"\n\n    def test_system_internal_error_value(self):\n        \"\"\"Test SYSTEM_INTERNAL_ERROR has correct string value.\"\"\"\n        assert ErrorCode.SYSTEM_INTERNAL_ERROR.value == \"990105\"\n\n\nclass TestErrorCodeHttpStatusMapping:\n    \"\"\"Test class for ERROR_CODE_HTTP_STATUS mapping.\"\"\"\n\n    def test_dify_auth_error_maps_to_401(self):\n        \"\"\"Test DIFY_AUTH_ERROR maps to HTTP 401.\"\"\"\n        assert ERROR_CODE_HTTP_STATUS[ErrorCode.DIFY_AUTH_ERROR] == 401\n\n    def test_dify_config_invalid_maps_to_400(self):\n        \"\"\"Test DIFY_CONFIG_INVALID maps to HTTP 400.\"\"\"\n        assert ERROR_CODE_HTTP_STATUS[ErrorCode.DIFY_CONFIG_INVALID] == 400\n\n    def test_dify_connection_error_maps_to_502(self):\n        \"\"\"Test DIFY_CONNECTION_ERROR maps to HTTP 502.\"\"\"\n        assert ERROR_CODE_HTTP_STATUS[ErrorCode.DIFY_CONNECTION_ERROR] == 502\n\n    def test_dify_response_error_maps_to_502(self):\n        \"\"\"Test DIFY_RESPONSE_ERROR maps to HTTP 502.\"\"\"\n        assert ERROR_CODE_HTTP_STATUS[ErrorCode.DIFY_RESPONSE_ERROR] == 502\n\n    def test_dify_rate_limit_maps_to_429(self):\n        \"\"\"Test DIFY_RATE_LIMIT maps to HTTP 429.\"\"\"\n        assert ERROR_CODE_HTTP_STATUS[ErrorCode.DIFY_RATE_LIMIT] == 429\n\n    def test_common_token_expired_maps_to_401(self):\n        \"\"\"Test COMMON_TOKEN_EXPIRED maps to HTTP 401.\"\"\"\n        assert ERROR_CODE_HTTP_STATUS[ErrorCode.COMMON_TOKEN_EXPIRED] == 401\n\n    def test_common_token_invalid_maps_to_401(self):\n        \"\"\"Test COMMON_TOKEN_INVALID maps to HTTP 401.\"\"\"\n        assert ERROR_CODE_HTTP_STATUS[ErrorCode.COMMON_TOKEN_INVALID] == 401\n\n    def test_common_unauthorized_maps_to_401(self):\n        \"\"\"Test COMMON_UNAUTHORIZED maps to HTTP 401.\"\"\"\n        assert ERROR_CODE_HTTP_STATUS[ErrorCode.COMMON_UNAUTHORIZED] == 401\n\n    def test_common_forbidden_maps_to_403(self):\n        \"\"\"Test COMMON_FORBIDDEN maps to HTTP 403.\"\"\"\n        assert ERROR_CODE_HTTP_STATUS[ErrorCode.COMMON_FORBIDDEN] == 403\n\n    def test_common_rate_limit_exceeded_maps_to_429(self):\n        \"\"\"Test COMMON_RATE_LIMIT_EXCEEDED maps to HTTP 429.\"\"\"\n        assert ERROR_CODE_HTTP_STATUS[ErrorCode.COMMON_RATE_LIMIT_EXCEEDED] == 429\n\n    def test_common_validation_error_maps_to_400(self):\n        \"\"\"Test COMMON_VALIDATION_ERROR maps to HTTP 400.\"\"\"\n        assert ERROR_CODE_HTTP_STATUS[ErrorCode.COMMON_VALIDATION_ERROR] == 400\n\n    def test_common_parameter_invalid_maps_to_400(self):\n        \"\"\"Test COMMON_PARAMETER_INVALID maps to HTTP 400.\"\"\"\n        assert ERROR_CODE_HTTP_STATUS[ErrorCode.COMMON_PARAMETER_INVALID] == 400\n\n    def test_common_missing_required_field_maps_to_400(self):\n        \"\"\"Test COMMON_MISSING_REQUIRED_FIELD maps to HTTP 400.\"\"\"\n        assert ERROR_CODE_HTTP_STATUS[ErrorCode.COMMON_MISSING_REQUIRED_FIELD] == 400\n\n    def test_file_too_large_maps_to_413(self):\n        \"\"\"Test FILE_TOO_LARGE maps to HTTP 413.\"\"\"\n        assert ERROR_CODE_HTTP_STATUS[ErrorCode.FILE_TOO_LARGE] == 413\n\n    def test_file_not_found_maps_to_404(self):\n        \"\"\"Test FILE_NOT_FOUND maps to HTTP 404.\"\"\"\n        assert ERROR_CODE_HTTP_STATUS[ErrorCode.FILE_NOT_FOUND] == 404\n\n    def test_common_resource_not_found_maps_to_404(self):\n        \"\"\"Test COMMON_RESOURCE_NOT_FOUND maps to HTTP 404.\"\"\"\n        assert ERROR_CODE_HTTP_STATUS[ErrorCode.COMMON_RESOURCE_NOT_FOUND] == 404\n\n    def test_common_resource_already_exists_maps_to_409(self):\n        \"\"\"Test COMMON_RESOURCE_ALREADY_EXISTS maps to HTTP 409.\"\"\"\n        assert ERROR_CODE_HTTP_STATUS[ErrorCode.COMMON_RESOURCE_ALREADY_EXISTS] == 409\n\n    def test_common_resource_disabled_maps_to_403(self):\n        \"\"\"Test COMMON_RESOURCE_DISABLED maps to HTTP 403.\"\"\"\n        assert ERROR_CODE_HTTP_STATUS[ErrorCode.COMMON_RESOURCE_DISABLED] == 403\n\n    def test_system_service_unavailable_maps_to_503(self):\n        \"\"\"Test SYSTEM_SERVICE_UNAVAILABLE maps to HTTP 503.\"\"\"\n        assert ERROR_CODE_HTTP_STATUS[ErrorCode.SYSTEM_SERVICE_UNAVAILABLE] == 503\n\n    def test_system_timeout_maps_to_504(self):\n        \"\"\"Test SYSTEM_TIMEOUT maps to HTTP 504.\"\"\"\n        assert ERROR_CODE_HTTP_STATUS[ErrorCode.SYSTEM_TIMEOUT] == 504\n\n    def test_idata_auth_error_maps_to_401(self):\n        \"\"\"Test IDATA_AUTH_ERROR maps to HTTP 401.\"\"\"\n        assert ERROR_CODE_HTTP_STATUS[ErrorCode.IDATA_AUTH_ERROR] == 401\n\n    def test_idata_config_invalid_maps_to_400(self):\n        \"\"\"Test IDATA_CONFIG_INVALID maps to HTTP 400.\"\"\"\n        assert ERROR_CODE_HTTP_STATUS[ErrorCode.IDATA_CONFIG_INVALID] == 400\n\n    def test_idata_connection_error_maps_to_502(self):\n        \"\"\"Test IDATA_CONNECTION_ERROR maps to HTTP 502.\"\"\"\n        assert ERROR_CODE_HTTP_STATUS[ErrorCode.IDATA_CONNECTION_ERROR] == 502\n\n    def test_idata_response_error_maps_to_502(self):\n        \"\"\"Test IDATA_RESPONSE_ERROR maps to HTTP 502.\"\"\"\n        assert ERROR_CODE_HTTP_STATUS[ErrorCode.IDATA_RESPONSE_ERROR] == 502\n\n    def test_idata_rate_limit_maps_to_429(self):\n        \"\"\"Test IDATA_RATE_LIMIT maps to HTTP 429.\"\"\"\n        assert ERROR_CODE_HTTP_STATUS[ErrorCode.IDATA_RATE_LIMIT] == 429\n\n\nclass TestErrorCodeFormat:\n    \"\"\"Test class for error code format consistency.\"\"\"\n\n    def test_all_dify_codes_start_with_1302(self):\n        \"\"\"Test all Dify error codes start with 1302 (module 13, sub-module 02).\"\"\"\n        dify_codes = [\n            ErrorCode.DIFY_SERVICE_ERROR,\n            ErrorCode.DIFY_CONFIG_INVALID,\n            ErrorCode.DIFY_CONNECTION_ERROR,\n            ErrorCode.DIFY_AUTH_ERROR,\n            ErrorCode.DIFY_RATE_LIMIT,\n            ErrorCode.DIFY_RESPONSE_ERROR,\n        ]\n        for code in dify_codes:\n            assert str(code.value).startswith(\n                \"1302\"), f\"{code} should start with 1302\"\n\n    def test_all_datamate_codes_start_with_1301(self):\n        \"\"\"Test DataMate error code starts with 1301 (module 13, sub-module 01).\"\"\"\n        assert str(ErrorCode.DATAMATE_CONNECTION_FAILED.value).startswith(\"1301\")\n\n    def test_all_me_codes_start_with_1303(self):\n        \"\"\"Test ME service error code starts with 1303 (module 13, sub-module 03).\"\"\"\n        assert str(ErrorCode.ME_CONNECTION_FAILED.value).startswith(\"1303\")\n\n    def test_all_idata_codes_start_with_1304(self):\n        \"\"\"Test all iData error codes start with 1304 (module 13, sub-module 04).\"\"\"\n        idata_codes = [\n            ErrorCode.IDATA_SERVICE_ERROR,\n            ErrorCode.IDATA_CONFIG_INVALID,\n            ErrorCode.IDATA_CONNECTION_ERROR,\n            ErrorCode.IDATA_AUTH_ERROR,\n            ErrorCode.IDATA_RATE_LIMIT,\n            ErrorCode.IDATA_RESPONSE_ERROR,\n        ]\n        for code in idata_codes:\n            assert str(code.value).startswith(\n                \"1304\"), f\"{code} should start with 1304\"\n\n    def test_all_common_auth_codes_start_with_0002(self):\n        \"\"\"Test common auth error codes start with 0002.\"\"\"\n        auth_codes = [\n            ErrorCode.COMMON_UNAUTHORIZED,\n            ErrorCode.COMMON_TOKEN_EXPIRED,\n            ErrorCode.COMMON_TOKEN_INVALID,\n            ErrorCode.COMMON_FORBIDDEN,\n        ]\n        for code in auth_codes:\n            assert str(code.value).startswith(\n                \"0002\"), f\"{code} should start with 0002\"\n\n    def test_all_common_validation_codes_start_with_0001(self):\n        \"\"\"Test common validation error codes start with 0001.\"\"\"\n        validation_codes = [\n            ErrorCode.COMMON_VALIDATION_ERROR,\n            ErrorCode.COMMON_PARAMETER_INVALID,\n            ErrorCode.COMMON_MISSING_REQUIRED_FIELD,\n        ]\n        for code in validation_codes:\n            assert str(code.value).startswith(\n                \"0001\"), f\"{code} should start with 0001\"\n\n    def test_all_system_codes_start_with_99(self):\n        \"\"\"Test system error codes start with 99.\"\"\"\n        system_codes = [\n            ErrorCode.SYSTEM_UNKNOWN_ERROR,\n            ErrorCode.SYSTEM_SERVICE_UNAVAILABLE,\n            ErrorCode.SYSTEM_DATABASE_ERROR,\n            ErrorCode.SYSTEM_TIMEOUT,\n            ErrorCode.SYSTEM_INTERNAL_ERROR,\n        ]\n        for code in system_codes:\n            assert str(code.value).startswith(\n                \"99\"), f\"{code} should start with 99\"\n\n    def test_all_chat_codes_start_with_01(self):\n        \"\"\"Test chat error codes start with 01.\"\"\"\n        assert str(ErrorCode.CHAT_CONVERSATION_NOT_FOUND.value).startswith(\"01\")\n\n    def test_all_knowledge_codes_start_with_06(self):\n        \"\"\"Test knowledge error codes start with 06.\"\"\"\n        assert str(ErrorCode.KNOWLEDGE_NOT_FOUND.value).startswith(\"06\")\n\n    def test_all_mcp_codes_start_with_07(self):\n        \"\"\"Test MCP error codes start with 07.\"\"\"\n        assert str(ErrorCode.MCP_CONNECTION_FAILED.value).startswith(\"07\")\n\n    def test_all_model_codes_start_with_09(self):\n        \"\"\"Test model error codes start with 09.\"\"\"\n        assert str(ErrorCode.MODEL_NOT_FOUND.value).startswith(\"09\")\n\n    def test_all_memory_codes_start_with_10(self):\n        \"\"\"Test memory error codes start with 10.\"\"\"\n        assert str(ErrorCode.MEMORY_NOT_FOUND.value).startswith(\"10\")\n\n    def test_all_northbound_codes_start_with_14(self):\n        \"\"\"Test northbound error codes start with 14.\"\"\"\n        assert str(ErrorCode.NORTHBOUND_REQUEST_FAILED.value).startswith(\"14\")\n\n    def test_all_dataprocess_codes_start_with_15(self):\n        \"\"\"Test dataprocess error codes start with 15.\"\"\"\n        assert str(ErrorCode.DATAPROCESS_TASK_FAILED.value).startswith(\"15\")\n\n\nclass TestErrorCodeStringFormat:\n    \"\"\"Test that ErrorCode values are strings with 6 digits.\"\"\"\n\n    def test_error_code_is_string(self):\n        \"\"\"Test ErrorCode values are strings.\"\"\"\n        assert isinstance(ErrorCode.DIFY_AUTH_ERROR.value, str)\n        assert ErrorCode.DIFY_AUTH_ERROR.value == \"130204\"\n\n    def test_error_code_preserves_leading_zeros(self):\n        \"\"\"Test ErrorCode values preserve leading zeros.\"\"\"\n        # Common codes have leading zeros\n        assert ErrorCode.COMMON_VALIDATION_ERROR.value == \"000101\"\n        assert ErrorCode.COMMON_UNAUTHORIZED.value == \"000201\"\n        assert ErrorCode.COMMON_RATE_LIMIT_EXCEEDED.value == \"000302\"\n\n    def test_error_code_length_is_six(self):\n        \"\"\"Test all ErrorCode values have 6 digits.\"\"\"\n        all_codes = [\n            ErrorCode.COMMON_VALIDATION_ERROR,\n            ErrorCode.COMMON_UNAUTHORIZED,\n            ErrorCode.COMMON_TOKEN_EXPIRED,\n            ErrorCode.DIFY_AUTH_ERROR,\n            ErrorCode.DATAMATE_CONNECTION_FAILED,\n            ErrorCode.CHAT_CONVERSATION_NOT_FOUND,\n            ErrorCode.KNOWLEDGE_NOT_FOUND,\n            ErrorCode.MCP_CONNECTION_FAILED,\n            ErrorCode.SYSTEM_UNKNOWN_ERROR,\n            ErrorCode.IDATA_AUTH_ERROR,\n            ErrorCode.IDATA_SERVICE_ERROR,\n        ]\n        for code in all_codes:\n            assert len(code.value) == 6, f\"{code} should have 6 digits\"\n\n\nclass TestErrorCodeIntConversion:\n    \"\"\"Test ErrorCode can be converted to integer for JSON response.\"\"\"\n\n    def test_error_code_can_be_converted_to_int(self):\n        \"\"\"Test ErrorCode value can be converted to int for HTTP response.\"\"\"\n        # The response should use int() to convert string to number\n        assert int(ErrorCode.DIFY_AUTH_ERROR.value) == 130204\n        assert int(ErrorCode.COMMON_VALIDATION_ERROR.value) == 101\n        assert int(ErrorCode.IDATA_AUTH_ERROR.value) == 130404\n\n    def test_error_code_in_conditional(self):\n        \"\"\"Test ErrorCode can be used in conditionals.\"\"\"\n        code = ErrorCode.DIFY_AUTH_ERROR\n        if code.value == \"130204\":\n            assert True\n        else:\n            assert False\n"
  },
  {
    "path": "test/backend/consts/test_error_message.py",
    "content": "\"\"\"\nUnit tests for Error Message definitions.\n\nTests the ErrorMessage class and its methods for getting error messages.\n\"\"\"\nimport pytest\nfrom backend.consts.error_code import ErrorCode\nfrom backend.consts.error_message import ErrorMessage\n\n\nclass TestErrorMessageGetMessage:\n    \"\"\"Test class for ErrorMessage.get_message method.\"\"\"\n\n    def test_get_message_dify_auth_error(self):\n        \"\"\"Test getting message for DIFY_AUTH_ERROR.\"\"\"\n        msg = ErrorMessage.get_message(ErrorCode.DIFY_AUTH_ERROR)\n        assert \"Dify authentication failed\" in msg\n        assert \"API key\" in msg\n\n    def test_get_message_dify_config_invalid(self):\n        \"\"\"Test getting message for DIFY_CONFIG_INVALID.\"\"\"\n        msg = ErrorMessage.get_message(ErrorCode.DIFY_CONFIG_INVALID)\n        assert \"Dify configuration\" in msg\n\n    def test_get_message_dify_connection_error(self):\n        \"\"\"Test getting message for DIFY_CONNECTION_ERROR.\"\"\"\n        msg = ErrorMessage.get_message(ErrorCode.DIFY_CONNECTION_ERROR)\n        assert \"connect to Dify\" in msg\n\n    def test_get_message_dify_rate_limit(self):\n        \"\"\"Test getting message for DIFY_RATE_LIMIT.\"\"\"\n        msg = ErrorMessage.get_message(ErrorCode.DIFY_RATE_LIMIT)\n        assert \"rate limit\" in msg\n\n    def test_get_message_common_validation_error(self):\n        \"\"\"Test getting message for COMMON_VALIDATION_ERROR.\"\"\"\n        msg = ErrorMessage.get_message(ErrorCode.COMMON_VALIDATION_ERROR)\n        assert \"Validation\" in msg\n\n    def test_get_message_common_unauthorized(self):\n        \"\"\"Test getting message for COMMON_UNAUTHORIZED.\"\"\"\n        msg = ErrorMessage.get_message(ErrorCode.COMMON_UNAUTHORIZED)\n        assert \"not authorized\" in msg.lower()\n\n    def test_get_message_common_token_expired(self):\n        \"\"\"Test getting message for COMMON_TOKEN_EXPIRED.\"\"\"\n        msg = ErrorMessage.get_message(ErrorCode.COMMON_TOKEN_EXPIRED)\n        assert \"session\" in msg.lower()\n        assert \"expired\" in msg.lower()\n\n    def test_get_message_common_token_invalid(self):\n        \"\"\"Test getting message for COMMON_TOKEN_INVALID.\"\"\"\n        msg = ErrorMessage.get_message(ErrorCode.COMMON_TOKEN_INVALID)\n        assert \"token\" in msg.lower()\n\n    def test_get_message_common_rate_limit_exceeded(self):\n        \"\"\"Test getting message for COMMON_RATE_LIMIT_EXCEEDED.\"\"\"\n        msg = ErrorMessage.get_message(ErrorCode.COMMON_RATE_LIMIT_EXCEEDED)\n        assert \"requests\" in msg.lower()\n\n    def test_get_message_file_not_found(self):\n        \"\"\"Test getting message for FILE_NOT_FOUND.\"\"\"\n        msg = ErrorMessage.get_message(ErrorCode.FILE_NOT_FOUND)\n        assert \"File\" in msg\n        assert \"not found\" in msg.lower()\n\n    def test_get_message_file_too_large(self):\n        \"\"\"Test getting message for FILE_TOO_LARGE.\"\"\"\n        msg = ErrorMessage.get_message(ErrorCode.FILE_TOO_LARGE)\n        assert \"size\" in msg.lower()\n\n    def test_get_message_system_unknown_error(self):\n        \"\"\"Test getting message for SYSTEM_UNKNOWN_ERROR.\"\"\"\n        msg = ErrorMessage.get_message(ErrorCode.SYSTEM_UNKNOWN_ERROR)\n        assert \"unknown error\" in msg.lower()\n\n    def test_get_message_system_internal_error(self):\n        \"\"\"Test getting message for SYSTEM_INTERNAL_ERROR.\"\"\"\n        msg = ErrorMessage.get_message(ErrorCode.SYSTEM_INTERNAL_ERROR)\n        assert \"internal\" in msg.lower() or \"server\" in msg.lower()\n\n    def test_get_message_knowledge_not_found(self):\n        \"\"\"Test getting message for KNOWLEDGE_NOT_FOUND.\"\"\"\n        msg = ErrorMessage.get_message(ErrorCode.KNOWLEDGE_NOT_FOUND)\n        assert \"Knowledge\" in msg\n\n    def test_get_message_memory_not_found(self):\n        \"\"\"Test getting message for MEMORY_NOT_FOUND.\"\"\"\n        msg = ErrorMessage.get_message(ErrorCode.MEMORY_NOT_FOUND)\n        assert \"Memory\" in msg\n\n    def test_get_message_mcp_connection_failed(self):\n        \"\"\"Test getting message for MCP_CONNECTION_FAILED.\"\"\"\n        msg = ErrorMessage.get_message(ErrorCode.MCP_CONNECTION_FAILED)\n        assert \"MCP\" in msg\n\n    def test_get_message_northbound_request_failed(self):\n        \"\"\"Test getting message for NORTHBOUND_REQUEST_FAILED.\"\"\"\n        msg = ErrorMessage.get_message(ErrorCode.NORTHBOUND_REQUEST_FAILED)\n        assert \"Northbound\" in msg\n\n    def test_get_message_dataprocess_task_failed(self):\n        \"\"\"Test getting message for DATAPROCESS_TASK_FAILED.\"\"\"\n        msg = ErrorMessage.get_message(ErrorCode.DATAPROCESS_TASK_FAILED)\n        assert \"Data\" in msg or \"process\" in msg.lower()\n\n    def test_get_message_unknown_code_returns_default(self):\n        \"\"\"Test that unknown error code returns default message.\"\"\"\n        # This tests that the fallback works\n        msg = ErrorMessage.get_message(ErrorCode.DIFY_AUTH_ERROR)\n        assert msg != \"\"\n\n\nclass TestErrorMessageGetMessageWithCode:\n    \"\"\"Test class for ErrorMessage.get_message_with_code method.\"\"\"\n\n    def test_get_message_with_code_returns_tuple(self):\n        \"\"\"Test that get_message_with_code returns tuple.\"\"\"\n        code, msg = ErrorMessage.get_message_with_code(\n            ErrorCode.DIFY_AUTH_ERROR)\n        assert isinstance(code, str)\n        assert isinstance(msg, str)\n\n    def test_get_message_with_code_dify_auth(self):\n        \"\"\"Test get_message_with_code for DIFY_AUTH_ERROR.\"\"\"\n        code, msg = ErrorMessage.get_message_with_code(\n            ErrorCode.DIFY_AUTH_ERROR)\n        assert code == \"130204\"\n        assert \"Dify authentication failed\" in msg\n\n    def test_get_message_with_code_common_validation(self):\n        \"\"\"Test get_message_with_code for COMMON_VALIDATION_ERROR.\"\"\"\n        code, msg = ErrorMessage.get_message_with_code(\n            ErrorCode.COMMON_VALIDATION_ERROR)\n        assert code == \"000101\"\n        assert \"Validation\" in msg\n\n    def test_get_message_with_code_system_error(self):\n        \"\"\"Test get_message_with_code for SYSTEM_INTERNAL_ERROR.\"\"\"\n        code, msg = ErrorMessage.get_message_with_code(\n            ErrorCode.SYSTEM_INTERNAL_ERROR)\n        assert code == \"990105\"\n        assert \"error\" in msg.lower()\n\n    def test_get_message_with_code_tuple_length(self):\n        \"\"\"Test that get_message_with_code returns exactly 2 elements.\"\"\"\n        result = ErrorMessage.get_message_with_code(\n            ErrorCode.DIFY_CONFIG_INVALID)\n        assert len(result) == 2\n\n    def test_get_message_with_code_tuple_order(self):\n        \"\"\"Test that get_message_with_code returns (code, message) in correct order.\"\"\"\n        code, msg = ErrorMessage.get_message_with_code(\n            ErrorCode.KNOWLEDGE_NOT_FOUND)\n        # First element should be the error code string\n        assert code == ErrorCode.KNOWLEDGE_NOT_FOUND.value\n        # Second element should be the message\n        assert msg == ErrorMessage.get_message(ErrorCode.KNOWLEDGE_NOT_FOUND)\n\n\nclass TestErrorMessageGetAllMessages:\n    \"\"\"Test class for ErrorMessage.get_all_messages method.\"\"\"\n\n    def test_get_all_messages_returns_dict(self):\n        \"\"\"Test that get_all_messages returns a dictionary.\"\"\"\n        messages = ErrorMessage.get_all_messages()\n        assert isinstance(messages, dict)\n\n    def test_get_all_messages_contains_dify_codes(self):\n        \"\"\"Test that get_all_messages contains Dify error codes.\"\"\"\n        messages = ErrorMessage.get_all_messages()\n        assert \"130201\" in messages  # DIFY_SERVICE_ERROR\n        assert \"130202\" in messages  # DIFY_CONFIG_INVALID\n        assert \"130203\" in messages  # DIFY_CONNECTION_ERROR\n        assert \"130204\" in messages  # DIFY_AUTH_ERROR\n        assert \"130205\" in messages  # DIFY_RATE_LIMIT\n        assert \"130206\" in messages  # DIFY_RESPONSE_ERROR\n\n    def test_get_all_messages_contains_common_codes(self):\n        \"\"\"Test that get_all_messages contains common error codes.\"\"\"\n        messages = ErrorMessage.get_all_messages()\n        assert \"000101\" in messages  # COMMON_VALIDATION_ERROR\n        assert \"000201\" in messages  # COMMON_UNAUTHORIZED\n        assert \"000203\" in messages  # COMMON_TOKEN_EXPIRED\n\n    def test_get_all_messages_contains_system_codes(self):\n        \"\"\"Test that get_all_messages contains system error codes.\"\"\"\n        messages = ErrorMessage.get_all_messages()\n        assert \"990101\" in messages  # SYSTEM_UNKNOWN_ERROR\n        assert \"990105\" in messages  # SYSTEM_INTERNAL_ERROR\n\n    def test_get_all_messages_all_values_are_strings(self):\n        \"\"\"Test that all message values in get_all_messages are non-empty strings.\"\"\"\n        messages = ErrorMessage.get_all_messages()\n        for code, msg in messages.items():\n            assert isinstance(msg, str), f\"Message for {code} is not a string\"\n            assert len(msg) > 0, f\"Message for {code} is empty\"\n\n    def test_get_all_messages_all_keys_are_strings(self):\n        \"\"\"Test that all keys in get_all_messages are string error codes.\"\"\"\n        messages = ErrorMessage.get_all_messages()\n        for key in messages.keys():\n            assert isinstance(key, str), f\"Key {key} is not a string\"\n            # Error codes should be numeric strings\n            assert key.isdigit(), f\"Key {key} is not a numeric error code\"\n\n    def test_get_all_messages_contains_multiple_categories(self):\n        \"\"\"Test that get_all_messages contains errors from multiple categories.\"\"\"\n        messages = ErrorMessage.get_all_messages()\n        # Should have errors from different modules\n        # Common (00), Chat (01), Knowledge (06), System (99)\n        has_common = any(key.startswith(\"00\") for key in messages.keys())\n        has_chat = any(key.startswith(\"01\") for key in messages.keys())\n        has_knowledge = any(key.startswith(\"06\") for key in messages.keys())\n        has_system = any(key.startswith(\"99\") for key in messages.keys())\n        assert has_common and has_chat and has_knowledge and has_system\n\n    def test_get_all_messages_count(self):\n        \"\"\"Test that get_all_messages returns expected number of messages.\"\"\"\n        messages = ErrorMessage.get_all_messages()\n        # Should have at least 30 error messages\n        assert len(messages) >= 30\n\n    def test_get_all_messages_mcp_codes(self):\n        \"\"\"Test that get_all_messages contains MCP error codes.\"\"\"\n        messages = ErrorMessage.get_all_messages()\n        assert \"070101\" in messages  # MCP_TOOL_NOT_FOUND\n        assert \"070102\" in messages  # MCP_TOOL_EXECUTION_FAILED\n        assert \"070103\" in messages  # MCP_TOOL_CONFIG_INVALID\n\n\nclass TestErrorMessageCoverage:\n    \"\"\"Test class for error message coverage.\"\"\"\n\n    def test_all_error_codes_have_messages(self):\n        \"\"\"Test that all defined ErrorCodes have messages.\"\"\"\n        # Get all error codes from ErrorCode enum\n        all_codes = list(ErrorCode)\n\n        for code in all_codes:\n            msg = ErrorMessage.get_message(code)\n            assert msg != \"\", f\"Error code {code} has no message\"\n            assert isinstance(msg, str), f\"Message for {code} is not a string\"\n\n    def test_message_not_generic_for_specific_errors(self):\n        \"\"\"Test that specific errors have specific messages, not the default.\"\"\"\n        # Dify auth error should have specific message\n        msg = ErrorMessage.get_message(ErrorCode.DIFY_AUTH_ERROR)\n        assert \"authentication failed\" in msg.lower()\n\n        # Connection errors should mention connection\n        msg = ErrorMessage.get_message(ErrorCode.DIFY_CONNECTION_ERROR)\n        assert \"connect\" in msg.lower()\n\n        # Rate limit should mention rate limit\n        msg = ErrorMessage.get_message(ErrorCode.DIFY_RATE_LIMIT)\n        assert \"rate\" in msg.lower() or \"limit\" in msg.lower()\n"
  },
  {
    "path": "test/backend/consts/test_exceptions.py",
    "content": "\"\"\"\nUnit tests for Exception classes.\n\nTests the AppException class and helper functions.\n\"\"\"\nimport pytest\nfrom backend.consts.error_code import ErrorCode\nfrom backend.consts.exceptions import AppException, raise_error\n\n\nclass TestAppException:\n    \"\"\"Test class for AppException.\"\"\"\n\n    def test_app_exception_creation_with_code(self):\n        \"\"\"Test creating AppException with error code.\"\"\"\n        exc = AppException(ErrorCode.DIFY_AUTH_ERROR)\n        assert exc.error_code == ErrorCode.DIFY_AUTH_ERROR\n\n    def test_app_exception_creation_with_custom_message(self):\n        \"\"\"Test creating AppException with custom message.\"\"\"\n        custom_msg = \"Custom error message\"\n        exc = AppException(ErrorCode.DIFY_AUTH_ERROR, custom_msg)\n        assert exc.message == custom_msg\n\n    def test_app_exception_default_message(self):\n        \"\"\"Test that AppException uses default message when not provided.\"\"\"\n        exc = AppException(ErrorCode.DIFY_AUTH_ERROR)\n        # Default message should be from ErrorMessage\n        assert exc.message != \"\"\n        assert \"Dify authentication failed\" in exc.message\n\n    def test_app_exception_with_details(self):\n        \"\"\"Test creating AppException with details.\"\"\"\n        details = {\"field\": \"api_key\", \"reason\": \"invalid\"}\n        exc = AppException(ErrorCode.DIFY_CONFIG_INVALID, \"Invalid config\", details)\n        assert exc.details == details\n\n    def test_app_exception_empty_details_defaults_to_dict(self):\n        \"\"\"Test that empty details defaults to empty dict.\"\"\"\n        exc = AppException(ErrorCode.DIFY_AUTH_ERROR)\n        assert exc.details == {}\n\n    def test_app_exception_to_dict(self):\n        \"\"\"Test AppException.to_dict() method.\"\"\"\n        exc = AppException(ErrorCode.DIFY_AUTH_ERROR, \"Auth failed\", {\"key\": \"value\"})\n        result = exc.to_dict()\n\n        assert result[\"code\"] == \"130204\"\n        assert result[\"message\"] == \"Auth failed\"\n        assert result[\"details\"] == {\"key\": \"value\"}\n\n    def test_app_exception_to_dict_null_details(self):\n        \"\"\"Test that to_dict() returns null for empty details.\"\"\"\n        exc = AppException(ErrorCode.DIFY_AUTH_ERROR, \"Auth failed\")\n        result = exc.to_dict()\n\n        assert result[\"details\"] is None\n\n    def test_app_exception_http_status_property(self):\n        \"\"\"Test AppException.http_status property.\"\"\"\n        exc = AppException(ErrorCode.DIFY_AUTH_ERROR)\n        assert exc.http_status == 401\n\n    def test_app_exception_http_status_for_different_codes(self):\n        \"\"\"Test http_status for different error codes.\"\"\"\n        test_cases = [\n            (ErrorCode.DIFY_AUTH_ERROR, 401),\n            (ErrorCode.DIFY_CONFIG_INVALID, 400),\n            (ErrorCode.DIFY_RATE_LIMIT, 429),\n            (ErrorCode.COMMON_VALIDATION_ERROR, 400),\n            (ErrorCode.COMMON_TOKEN_EXPIRED, 401),\n            (ErrorCode.COMMON_FORBIDDEN, 403),\n        ]\n\n        for error_code, expected_status in test_cases:\n            exc = AppException(error_code)\n            assert exc.http_status == expected_status, \\\n                f\"Expected {expected_status} for {error_code}\"\n\n    def test_app_exception_is_subclass_of_exception(self):\n        \"\"\"Test that AppException is a subclass of Exception.\"\"\"\n        assert issubclass(AppException, Exception)\n\n    def test_app_exception_can_be_raised_and_caught(self):\n        \"\"\"Test that AppException can be raised and caught.\"\"\"\n        try:\n            raise AppException(ErrorCode.DIFY_AUTH_ERROR, \"Test error\")\n        except AppException as e:\n            assert e.error_code == ErrorCode.DIFY_AUTH_ERROR\n            assert e.message == \"Test error\"\n\n    def test_app_exception_str_representation(self):\n        \"\"\"Test string representation of AppException.\"\"\"\n        exc = AppException(ErrorCode.DIFY_AUTH_ERROR, \"Test error\")\n        assert str(exc) == \"Test error\"\n\n\nclass TestRaiseError:\n    \"\"\"Test class for raise_error helper function.\"\"\"\n\n    def test_raise_error_raises_app_exception(self):\n        \"\"\"Test that raise_error raises AppException.\"\"\"\n        with pytest.raises(AppException):\n            raise_error(ErrorCode.DIFY_AUTH_ERROR)\n\n    def test_raise_error_with_custom_message(self):\n        \"\"\"Test raise_error with custom message.\"\"\"\n        custom_msg = \"Custom error\"\n        try:\n            raise_error(ErrorCode.DIFY_AUTH_ERROR, custom_msg)\n        except AppException as e:\n            assert e.message == custom_msg\n\n    def test_raise_error_with_details(self):\n        \"\"\"Test raise_error with details.\"\"\"\n        details = {\"info\": \"test\"}\n        try:\n            raise_error(ErrorCode.DIFY_CONFIG_INVALID, \"Error\", details)\n        except AppException as e:\n            assert e.details == details\n\n\nclass TestLegacyExceptions:\n    \"\"\"Test class for legacy exception classes.\"\"\"\n\n    def test_agent_run_exception_exists(self):\n        \"\"\"Test AgentRunException can be instantiated.\"\"\"\n        from backend.consts.exceptions import AgentRunException\n        exc = AgentRunException(\"Agent run failed\")\n        assert str(exc) == \"Agent run failed\"\n\n    def test_limit_exceeded_error_exists(self):\n        \"\"\"Test LimitExceededError can be instantiated.\"\"\"\n        from backend.consts.exceptions import LimitExceededError\n        exc = LimitExceededError(\"Rate limit exceeded\")\n        assert str(exc) == \"Rate limit exceeded\"\n\n    def test_unauthorized_error_exists(self):\n        \"\"\"Test UnauthorizedError can be instantiated.\"\"\"\n        from backend.consts.exceptions import UnauthorizedError\n        exc = UnauthorizedError(\"Unauthorized\")\n        assert str(exc) == \"Unauthorized\"\n\n    def test_validation_error_exists(self):\n        \"\"\"Test ValidationError can be instantiated.\"\"\"\n        from backend.consts.exceptions import ValidationError\n        exc = ValidationError(\"Validation failed\")\n        assert str(exc) == \"Validation failed\"\n\n    def test_not_found_exception_exists(self):\n        \"\"\"Test NotFoundException can be instantiated.\"\"\"\n        from backend.consts.exceptions import NotFoundException\n        exc = NotFoundException(\"Resource not found\")\n        assert str(exc) == \"Resource not found\"\n\n    def test_mcp_connection_error_exists(self):\n        \"\"\"Test MCPConnectionError can be instantiated.\"\"\"\n        from backend.consts.exceptions import MCPConnectionError\n        exc = MCPConnectionError(\"MCP connection failed\")\n        assert str(exc) == \"MCP connection failed\"\n\n    def test_data_mate_connection_error_exists(self):\n        \"\"\"Test DataMateConnectionError can be instantiated.\"\"\"\n        from backend.consts.exceptions import DataMateConnectionError\n        exc = DataMateConnectionError(\"DataMate connection failed\")\n        assert str(exc) == \"DataMate connection failed\"\n\n\nclass TestLegacyAliases:\n    \"\"\"Test class for legacy exception aliases.\"\"\"\n\n    def test_parameter_invalid_error_alias(self):\n        \"\"\"Test ParameterInvalidError alias exists.\"\"\"\n        from backend.consts.exceptions import ParameterInvalidError\n        assert ParameterInvalidError is not None\n\n    def test_timeout_error_alias(self):\n        \"\"\"Test TimeoutError alias exists.\"\"\"\n        from backend.consts.exceptions import TimeoutError\n        assert TimeoutError is not None\n\n    def test_user_not_found_error_alias(self):\n        \"\"\"Test UserNotFoundError alias exists.\"\"\"\n        from backend.consts.exceptions import UserNotFoundError\n        assert UserNotFoundError is not None\n\n    def test_tenant_not_found_error_alias(self):\n        \"\"\"Test TenantNotFoundError alias exists.\"\"\"\n        from backend.consts.exceptions import TenantNotFoundError\n        assert TenantNotFoundError is not None\n\n    def test_agent_not_found_error_alias(self):\n        \"\"\"Test AgentNotFoundError alias exists.\"\"\"\n        from backend.consts.exceptions import AgentNotFoundError\n        assert AgentNotFoundError is not None\n"
  },
  {
    "path": "test/backend/data_process/__init__.py",
    "content": "\"\"\"\nUnit tests for services modules\n\"\"\"\n\n# Backend test package\n\nimport os\nimport sys\n\n# Dynamically determine the backend path\ncurrent_dir = os.path.dirname(os.path.abspath(__file__))\nbackend_dir = os.path.abspath(os.path.join(current_dir, \"../../../backend\"))\nsys.path.append(backend_dir)\n"
  },
  {
    "path": "test/backend/data_process/test_ray_actors.py",
    "content": "import io\nimport json\nimport sys\nimport types\n\nimport pytest\n\n\ndef make_fake_ray_module_identity_decorator():\n    fake_ray = types.ModuleType(\"ray\")\n\n    def remote(**kwargs):\n        def decorator(obj):\n            return obj\n        return decorator\n\n    def is_initialized():\n        return True\n\n    fake_ray.remote = remote\n    fake_ray.is_initialized = is_initialized\n    return fake_ray\n\n\nclass FakeDataProcessCore:\n    def __init__(self):\n        self.calls = []\n\n    def file_process(self, file_data, filename, chunking_strategy, **params):\n        # Default behavior: return one chunk\n        self.calls.append((filename, chunking_strategy, params))\n        return [\n            {\"content\": \"hello world\", \"metadata\": {\"creation_date\": \"2024-01-01\"}}\n        ]\n\n\nclass FakeRedisClient:\n    def __init__(self):\n        self.store = {}\n        self.expirations = {}\n\n    @classmethod\n    def from_url(cls, url, decode_responses=False):\n        return cls()\n\n    def set(self, key, value):\n        self.store[key] = value\n\n    def get(self, key):\n        return self.store.get(key)\n\n    def expire(self, key, seconds):\n        self.expirations[key] = seconds\n\n\n@pytest.fixture(autouse=True)\ndef stub_ray_before_import(monkeypatch):\n    # Ensure that when module under test imports ray, it gets our stub\n    sys.modules[\"ray\"] = make_fake_ray_module_identity_decorator()\n    yield\n    sys.modules.pop(\"ray\", None)\n\n\ndef import_module(monkeypatch):\n    # Patch dependencies used by the module\n    from pathlib import Path\n\n    # Stub DataProcessCore and get_file_stream\n    monkeypatch.setitem(sys.modules, \"nexent.data_process\", types.SimpleNamespace(DataProcessCore=FakeDataProcessCore))\n\n    # Provide a full stub module for database.attachment_db to avoid importing real Minio client\n    fake_attachment_db_mod = types.ModuleType(\"database.attachment_db\")\n    fake_attachment_db_mod.get_file_stream = lambda source: io.BytesIO(b\"file-bytes\")\n    fake_attachment_db_mod.get_file_size_from_minio = lambda path_or_url: 0\n    monkeypatch.setitem(sys.modules, \"database.attachment_db\", fake_attachment_db_mod)\n    # Ensure parent package 'database' exists and link submodule for proper resolution\n    if \"database\" not in sys.modules:\n        fake_database_pkg = types.ModuleType(\"database\")\n        fake_database_pkg.__path__ = []\n        monkeypatch.setitem(sys.modules, \"database\", fake_database_pkg)\n    setattr(sys.modules[\"database\"], \"attachment_db\", fake_attachment_db_mod)\n\n    # Stub celery (and celery.result.AsyncResult) to avoid dependency\n    fake_celery = types.ModuleType(\"celery\")\n    fake_celery_result = types.ModuleType(\"celery.result\")\n    class _AsyncResult:\n        def __init__(self, *a, **k):\n            self.id = k.get(\"id\", \"fake\")\n        def ready(self):\n            return True\n        def successful(self):\n            return True\n        def failed(self):\n            return False\n        def state(self):\n            return \"SUCCESS\"\n        def get(self, *a, **k):\n            return None\n    fake_celery_result.AsyncResult = _AsyncResult\n    # Link submodule to package\n    fake_celery.result = fake_celery_result\n    monkeypatch.setitem(sys.modules, \"celery\", fake_celery)\n    monkeypatch.setitem(sys.modules, \"celery.result\", fake_celery_result)\n\n    # Stub redis to avoid requiring the real dependency during package import\n    if \"redis\" not in sys.modules:\n        fake_redis = types.ModuleType(\"redis\")\n        # minimal Redis class to satisfy type hints in backend.data_process.utils\n        class _Redis:\n            pass\n        fake_redis.Redis = _Redis\n        monkeypatch.setitem(sys.modules, \"redis\", fake_redis)\n\n    # Create lightweight package stubs to bypass backend.data_process __init__ execution\n    project_root = Path(__file__).resolve().parents[3]\n    backend_pkg = types.ModuleType(\"backend\")\n    backend_pkg.__path__ = [str(project_root / \"backend\")]\n    monkeypatch.setitem(sys.modules, \"backend\", backend_pkg)\n\n    backend_dp_pkg = types.ModuleType(\"backend.data_process\")\n    backend_dp_pkg.__path__ = [str(project_root / \"backend\" / \"data_process\")]\n    monkeypatch.setitem(sys.modules, \"backend.data_process\", backend_dp_pkg)\n\n    # Stub modules that might still be imported elsewhere\n    fake_dp_app = types.ModuleType(\"backend.data_process.app\")\n    fake_dp_app.app = object()\n    monkeypatch.setitem(sys.modules, \"backend.data_process.app\", fake_dp_app)\n    fake_dp_tasks = types.ModuleType(\"backend.data_process.tasks\")\n    fake_dp_tasks.process = lambda *a, **k: None\n    fake_dp_tasks.forward = lambda *a, **k: None\n    fake_dp_tasks.process_and_forward = lambda *a, **k: None\n    fake_dp_tasks.process_sync = lambda *a, **k: None\n    monkeypatch.setitem(sys.modules, \"backend.data_process.tasks\", fake_dp_tasks)\n\n    # Stub consts.const needed by ray_actors imports\n    fake_consts_pkg = types.ModuleType(\"consts\")\n    fake_consts_const = types.ModuleType(\"consts.const\")\n    fake_consts_const.RAY_ACTOR_NUM_CPUS = 1\n    fake_consts_const.REDIS_BACKEND_URL = \"\"\n    # New defaults required by ray_actors import\n    fake_consts_const.DEFAULT_EXPECTED_CHUNK_SIZE = 1024\n    fake_consts_const.DEFAULT_MAXIMUM_CHUNK_SIZE = 1536\n    monkeypatch.setitem(sys.modules, \"consts\", fake_consts_pkg)\n    monkeypatch.setitem(sys.modules, \"consts.const\", fake_consts_const)\n\n    # Ensure model_management_db is stubbed to avoid importing real DB layer\n    if \"database.model_management_db\" not in sys.modules:\n        monkeypatch.setitem(\n            sys.modules,\n            \"database.model_management_db\",\n            types.SimpleNamespace(\n                get_model_by_model_id=lambda model_id, tenant_id=None: None\n            ),\n        )\n    # Link model_management_db to parent 'database' package\n    if \"database\" not in sys.modules:\n        fake_database_pkg = types.ModuleType(\"database\")\n        fake_database_pkg.__path__ = []\n        monkeypatch.setitem(sys.modules, \"database\", fake_database_pkg)\n    setattr(\n        sys.modules[\"database\"],\n        \"model_management_db\",\n        sys.modules[\"database.model_management_db\"],\n    )\n\n    # Stub database.model_management_db so import succeeds\n    if \"database.model_management_db\" not in sys.modules:\n        monkeypatch.setitem(\n            sys.modules,\n            \"database.model_management_db\",\n            types.SimpleNamespace(\n                get_model_by_model_id=lambda model_id, tenant_id=None: None),\n        )\n\n    # Import module under test\n    import backend.data_process.ray_actors as ray_actors\n    return ray_actors\n\n\ndef test_process_file_happy_path(monkeypatch):\n    ray_actors = import_module(monkeypatch)\n    actor = ray_actors.DataProcessorRayActor()\n\n    chunks = actor.process_file(\n        source=\"/tmp/a.txt\",\n        chunking_strategy=\"basic\",\n        destination=\"local\",\n        task_id=\"tid-1\",\n        extra_option=True,\n    )\n\n    assert isinstance(chunks, list)\n    assert len(chunks) == 1\n    assert chunks[0][\"content\"] == \"hello world\"\n\n\ndef test_process_file_applies_chunk_sizes_from_model(monkeypatch):\n    ray_actors = import_module(monkeypatch)\n\n    # Recorder core to capture params\n    class RecorderCore:\n        captured_params = None\n\n        def __init__(self):\n            pass\n\n        def file_process(self, file_data, filename, chunking_strategy, **params):\n            RecorderCore.captured_params = params\n            return [{\"content\": \"x\", \"metadata\": {}}]\n\n    # Use recorder core and a model record with explicit sizes\n    monkeypatch.setattr(ray_actors, \"DataProcessCore\", RecorderCore)\n    monkeypatch.setattr(\n        ray_actors,\n        \"get_model_by_model_id\",\n        lambda model_id, tenant_id=None: {\n            \"expected_chunk_size\": 2000,\n            \"maximum_chunk_size\": 3000,\n            \"display_name\": \"emb\",\n            \"model_type\": \"embedding\",\n        },\n    )\n\n    actor = ray_actors.DataProcessorRayActor()\n    actor.process_file(\n        source=\"/tmp/a.txt\",\n        chunking_strategy=\"basic\",\n        destination=\"local\",\n        model_id=9,\n        tenant_id=\"t1\",\n    )\n\n    assert RecorderCore.captured_params is not None\n    assert RecorderCore.captured_params.get(\"new_after_n_chars\") == 2000\n    assert RecorderCore.captured_params.get(\"max_characters\") == 3000\n\n\ndef test_process_file_no_model_omits_chunk_params(monkeypatch):\n    ray_actors = import_module(monkeypatch)\n\n    class RecorderCore:\n        captured_params = None\n\n        def __init__(self):\n            pass\n\n        def file_process(self, file_data, filename, chunking_strategy, **params):\n            RecorderCore.captured_params = params\n            return [{\"content\": \"y\", \"metadata\": {}}]\n\n    # No model found\n    monkeypatch.setattr(ray_actors, \"DataProcessCore\", RecorderCore)\n    monkeypatch.setattr(\n        ray_actors,\n        \"get_model_by_model_id\",\n        lambda model_id, tenant_id=None: None,\n    )\n\n    actor = ray_actors.DataProcessorRayActor()\n    actor.process_file(\n        source=\"/tmp/b.txt\",\n        chunking_strategy=\"basic\",\n        destination=\"local\",\n        model_id=10,\n        tenant_id=\"t2\",\n    )\n\n    assert RecorderCore.captured_params is not None\n    assert \"new_after_n_chars\" not in RecorderCore.captured_params\n    assert \"max_characters\" not in RecorderCore.captured_params\n\n\ndef test_process_file_model_lookup_exception_uses_defaults(monkeypatch):\n    ray_actors = import_module(monkeypatch)\n\n    class RecorderCore:\n        captured_params = None\n\n        def __init__(self):\n            pass\n\n        def file_process(self, file_data, filename, chunking_strategy, **params):\n            RecorderCore.captured_params = params\n            return [{\"content\": \"z\", \"metadata\": {}}]\n\n    # Make model lookup raise to hit exception handler (lines 84-85)\n    monkeypatch.setattr(ray_actors, \"DataProcessCore\", RecorderCore)\n    monkeypatch.setattr(\n        ray_actors,\n        \"get_model_by_model_id\",\n        lambda model_id, tenant_id=None: (\n            _ for _ in ()).throw(RuntimeError(\"db down\")),\n    )\n\n    actor = ray_actors.DataProcessorRayActor()\n    actor.process_file(\n        source=\"/tmp/c.txt\",\n        chunking_strategy=\"basic\",\n        destination=\"local\",\n        model_id=11,\n        tenant_id=\"t3\",\n    )\n\n    assert RecorderCore.captured_params is not None\n    assert \"new_after_n_chars\" not in RecorderCore.captured_params\n    assert \"max_characters\" not in RecorderCore.captured_params\n\n\ndef test_process_file_get_stream_none_raises(monkeypatch):\n    # Override get_file_stream to return None\n    fake_attachment_db_mod = types.ModuleType(\"database.attachment_db\")\n    fake_attachment_db_mod.get_file_stream = lambda source: None\n    fake_attachment_db_mod.get_file_size_from_minio = lambda path_or_url: 0\n    monkeypatch.setitem(sys.modules, \"database.attachment_db\", fake_attachment_db_mod)\n    # Ensure parent 'database' exists and link attachment_db\n    if \"database\" not in sys.modules:\n        fake_database_pkg = types.ModuleType(\"database\")\n        fake_database_pkg.__path__ = []\n        monkeypatch.setitem(sys.modules, \"database\", fake_database_pkg)\n    setattr(sys.modules[\"database\"], \"attachment_db\", fake_attachment_db_mod)\n\n    # Ensure DataProcessCore is stubbed during reload as well\n    monkeypatch.setitem(\n        sys.modules,\n        \"nexent.data_process\",\n        types.SimpleNamespace(DataProcessCore=FakeDataProcessCore),\n    )\n\n    # Also stub celery and backend.data_process.{app,tasks} to avoid importing real modules\n    fake_celery = types.ModuleType(\"celery\")\n    fake_celery_result = types.ModuleType(\"celery.result\")\n    class _AsyncResult:\n        def __init__(self, *a, **k):\n            self.id = k.get(\"id\", \"fake\")\n        def ready(self):\n            return True\n        def successful(self):\n            return True\n        def failed(self):\n            return False\n        def state(self):\n            return \"SUCCESS\"\n        def get(self, *a, **k):\n            return None\n    fake_celery_result.AsyncResult = _AsyncResult\n    fake_celery.result = fake_celery_result\n    monkeypatch.setitem(sys.modules, \"celery\", fake_celery)\n    monkeypatch.setitem(sys.modules, \"celery.result\", fake_celery_result)\n    if \"redis\" not in sys.modules:\n        fake_redis = types.ModuleType(\"redis\")\n        class _Redis:\n            pass\n        fake_redis.Redis = _Redis\n        monkeypatch.setitem(sys.modules, \"redis\", fake_redis)\n    # Create lightweight package stubs to bypass backend.data_process __init__ execution\n    from pathlib import Path\n    project_root = Path(__file__).resolve().parents[3]\n    backend_pkg = types.ModuleType(\"backend\")\n    backend_pkg.__path__ = [str(project_root / \"backend\")]\n    monkeypatch.setitem(sys.modules, \"backend\", backend_pkg)\n    backend_dp_pkg = types.ModuleType(\"backend.data_process\")\n    backend_dp_pkg.__path__ = [str(project_root / \"backend\" / \"data_process\")]\n    monkeypatch.setitem(sys.modules, \"backend.data_process\", backend_dp_pkg)\n    fake_dp_app = types.ModuleType(\"backend.data_process.app\")\n    fake_dp_app.app = object()\n    monkeypatch.setitem(sys.modules, \"backend.data_process.app\", fake_dp_app)\n    fake_dp_tasks = types.ModuleType(\"backend.data_process.tasks\")\n    fake_dp_tasks.process = lambda *a, **k: None\n    fake_dp_tasks.forward = lambda *a, **k: None\n    fake_dp_tasks.process_and_forward = lambda *a, **k: None\n    fake_dp_tasks.process_sync = lambda *a, **k: None\n    monkeypatch.setitem(sys.modules, \"backend.data_process.tasks\", fake_dp_tasks)\n    # Stub consts.const again for reload path\n    fake_consts_pkg = types.ModuleType(\"consts\")\n    fake_consts_const = types.ModuleType(\"consts.const\")\n    fake_consts_const.RAY_ACTOR_NUM_CPUS = 1\n    fake_consts_const.REDIS_BACKEND_URL = \"\"\n    # Provide defaults required by backend.data_process.ray_actors import\n    fake_consts_const.DEFAULT_EXPECTED_CHUNK_SIZE = 1024\n    fake_consts_const.DEFAULT_MAXIMUM_CHUNK_SIZE = 1536\n    monkeypatch.setitem(sys.modules, \"consts\", fake_consts_pkg)\n    monkeypatch.setitem(sys.modules, \"consts.const\", fake_consts_const)\n\n    # Stub database.model_management_db and link to parent to avoid real DB import\n    if \"database.model_management_db\" not in sys.modules:\n        monkeypatch.setitem(\n            sys.modules,\n            \"database.model_management_db\",\n            types.SimpleNamespace(\n                get_model_by_model_id=lambda model_id, tenant_id=None: None\n            ),\n        )\n    if \"database\" not in sys.modules:\n        fake_database_pkg = types.ModuleType(\"database\")\n        fake_database_pkg.__path__ = []\n        monkeypatch.setitem(sys.modules, \"database\", fake_database_pkg)\n    setattr(\n        sys.modules[\"database\"],\n        \"model_management_db\",\n        sys.modules[\"database.model_management_db\"],\n    )\n\n    # Re-import to take new stub\n    from importlib import reload\n    import backend.data_process.ray_actors as ray_actors\n    reload(ray_actors)\n\n    actor = ray_actors.DataProcessorRayActor()\n    with pytest.raises(FileNotFoundError):\n        actor.process_file(\"url://missing\", \"basic\", destination=\"minio\")\n\n\ndef test_process_file_core_returns_none_list_variants(monkeypatch):\n    class CoreNone(FakeDataProcessCore):\n        def file_process(self, *a, **k):\n            return None\n\n    class CoreNotList(FakeDataProcessCore):\n        def file_process(self, *a, **k):\n            return {\"not\": \"list\"}\n\n    class CoreEmpty(FakeDataProcessCore):\n        def file_process(self, *a, **k):\n            return []\n\n    # Patch DataProcessCore to different variants and assert [] result\n    for core_cls in (CoreNone, CoreNotList, CoreEmpty):\n        monkeypatch.setitem(\n            sys.modules,\n            \"nexent.data_process\",\n            types.SimpleNamespace(DataProcessCore=core_cls),\n        )\n        # Stub attachment_db to avoid importing real Minio client\n        fake_attachment_db_mod = types.ModuleType(\"database.attachment_db\")\n        fake_attachment_db_mod.get_file_stream = lambda source: io.BytesIO(b\"file-bytes\")\n        fake_attachment_db_mod.get_file_size_from_minio = lambda path_or_url: 0\n        monkeypatch.setitem(sys.modules, \"database.attachment_db\", fake_attachment_db_mod)\n        # Also stub celery.result.AsyncResult and redis module\n        fake_celery = types.ModuleType(\"celery\")\n        fake_celery_result = types.ModuleType(\"celery.result\")\n        class _AsyncResult:\n            def __init__(self, *a, **k):\n                self.id = k.get(\"id\", \"fake\")\n            def ready(self):\n                return True\n            def successful(self):\n                return True\n            def failed(self):\n                return False\n            def state(self):\n                return \"SUCCESS\"\n            def get(self, *a, **k):\n                return None\n        fake_celery_result.AsyncResult = _AsyncResult\n        fake_celery.result = fake_celery_result\n        monkeypatch.setitem(sys.modules, \"celery\", fake_celery)\n        monkeypatch.setitem(sys.modules, \"celery.result\", fake_celery_result)\n        if \"redis\" not in sys.modules:\n            fake_redis = types.ModuleType(\"redis\")\n            class _Redis:\n                pass\n            fake_redis.Redis = _Redis\n            monkeypatch.setitem(sys.modules, \"redis\", fake_redis)\n        # Stub backend package and submodules to avoid __init__ side effects\n        from pathlib import Path\n        project_root = Path(__file__).resolve().parents[3]\n        backend_pkg = types.ModuleType(\"backend\")\n        backend_pkg.__path__ = [str(project_root / \"backend\")]\n        monkeypatch.setitem(sys.modules, \"backend\", backend_pkg)\n        backend_dp_pkg = types.ModuleType(\"backend.data_process\")\n        backend_dp_pkg.__path__ = [str(project_root / \"backend\" / \"data_process\")]\n        monkeypatch.setitem(sys.modules, \"backend.data_process\", backend_dp_pkg)\n        fake_dp_app = types.ModuleType(\"backend.data_process.app\")\n        fake_dp_app.app = object()\n        monkeypatch.setitem(sys.modules, \"backend.data_process.app\", fake_dp_app)\n        fake_dp_tasks = types.ModuleType(\"backend.data_process.tasks\")\n        fake_dp_tasks.process = lambda *a, **k: None\n        fake_dp_tasks.forward = lambda *a, **k: None\n        fake_dp_tasks.process_and_forward = lambda *a, **k: None\n        fake_dp_tasks.process_sync = lambda *a, **k: None\n        monkeypatch.setitem(sys.modules, \"backend.data_process.tasks\", fake_dp_tasks)\n        # Stub consts.const for ray_actors imports\n        fake_consts_pkg = types.ModuleType(\"consts\")\n        fake_consts_const = types.ModuleType(\"consts.const\")\n        fake_consts_const.RAY_ACTOR_NUM_CPUS = 1\n        fake_consts_const.REDIS_BACKEND_URL = \"\"\n        # Provide defaults required by backend.data_process.ray_actors import\n        fake_consts_const.DEFAULT_EXPECTED_CHUNK_SIZE = 1024\n        fake_consts_const.DEFAULT_MAXIMUM_CHUNK_SIZE = 1536\n        monkeypatch.setitem(sys.modules, \"consts\", fake_consts_pkg)\n        monkeypatch.setitem(sys.modules, \"consts.const\", fake_consts_const)\n\n        # Ensure model_management_db is stubbed to avoid importing real DB layer\n        if \"database.model_management_db\" not in sys.modules:\n            monkeypatch.setitem(\n                sys.modules,\n                \"database.model_management_db\",\n                types.SimpleNamespace(\n                    get_model_by_model_id=lambda model_id, tenant_id=None: None\n                ),\n            )\n        from importlib import reload\n        import backend.data_process.ray_actors as ray_actors\n        reload(ray_actors)\n        actor = ray_actors.DataProcessorRayActor()\n        chunks = actor.process_file(\"/tmp/a.txt\", \"basic\", destination=\"local\")\n        assert chunks == []\n\n\ndef test_store_chunks_in_redis_success(monkeypatch):\n    # Import with default stubs\n    ray_actors = import_module(monkeypatch)\n\n    # Ensure REDIS_BACKEND_URL is set and stub redis\n    monkeypatch.setattr(ray_actors, \"REDIS_BACKEND_URL\", \"redis://test\")\n    fake_redis_module = types.SimpleNamespace(Redis=types.SimpleNamespace(from_url=FakeRedisClient.from_url))\n    monkeypatch.setitem(sys.modules, \"redis\", fake_redis_module)\n\n    actor = ray_actors.DataProcessorRayActor()\n    ok = actor.store_chunks_in_redis(\"key1\", [{\"content\": \"a\"}])\n    assert ok is True\n\n\ndef test_store_chunks_in_redis_handles_none_and_serialization_error(monkeypatch):\n    ray_actors = import_module(monkeypatch)\n    monkeypatch.setattr(ray_actors, \"REDIS_BACKEND_URL\", \"redis://test\")\n    fake_client = FakeRedisClient()\n    fake_redis_module = types.SimpleNamespace(Redis=types.SimpleNamespace(from_url=lambda *a, **k: fake_client))\n    monkeypatch.setitem(sys.modules, \"redis\", fake_redis_module)\n\n    actor = ray_actors.DataProcessorRayActor()\n\n    # None chunks -> stored []\n    ok_none = actor.store_chunks_in_redis(\"k-none\", None)\n    assert ok_none is True\n    assert json.loads(fake_client.get(\"k-none\")) == []\n\n    # Non-serializable -> fallback []\n    ok_bad = actor.store_chunks_in_redis(\"k-bad\", [{\"s\": {1, 2, 3}}])\n    assert ok_bad is True\n    assert json.loads(fake_client.get(\"k-bad\")) == []\n\n\ndef test_store_chunks_in_redis_no_url_returns_false(monkeypatch):\n    ray_actors = import_module(monkeypatch)\n    monkeypatch.setattr(ray_actors, \"REDIS_BACKEND_URL\", \"\")\n    actor = ray_actors.DataProcessorRayActor()\n    assert actor.store_chunks_in_redis(\"k\", [{\"content\": \"x\"}]) is False\n\n"
  },
  {
    "path": "test/backend/data_process/test_ray_config.py",
    "content": "import os\nimport sys\nimport types\nimport importlib\n\n\nclass FakeRay:\n    def __init__(self, initialized=False):\n        self._initialized = initialized\n        self.inits = []\n        self.cluster_resources_return = {}\n\n    def is_initialized(self):\n        return self._initialized\n\n    def init(self, **kwargs):\n        self._initialized = True\n        self.inits.append(kwargs)\n\n    def cluster_resources(self):\n        return self.cluster_resources_return\n\n\ndef setup_mocks_for_ray_config(mocker, initialized=False):\n    \"\"\"Setup all necessary mocks before importing ray_config module\"\"\"\n    fake_ray = FakeRay(initialized=initialized)\n    \n    # Mock ray module\n    mocker.patch.dict(sys.modules, {\"ray\": fake_ray})\n    \n    # Stub celery module (required by app.py and tasks.py imported via __init__.py)\n    if \"celery.backends.base\" not in sys.modules:\n        backends_base_mod = types.ModuleType(\"celery.backends.base\")\n        backends_base_mod.DisabledBackend = type(\"DisabledBackend\", (), {})\n        sys.modules[\"celery.backends.base\"] = backends_base_mod\n    \n    if \"celery.exceptions\" not in sys.modules:\n        exceptions_mod = types.ModuleType(\"celery.exceptions\")\n        exceptions_mod.Retry = type(\"Retry\", (Exception,), {})\n        sys.modules[\"celery.exceptions\"] = exceptions_mod\n    \n    if \"celery.result\" not in sys.modules:\n        result_mod = types.ModuleType(\"celery.result\")\n        result_mod.AsyncResult = type(\"AsyncResult\", (), {})\n        sys.modules[\"celery.result\"] = result_mod\n    \n    if \"celery\" not in sys.modules:\n        celery_mod = types.ModuleType(\"celery\")\n        # Create a Celery class that accepts any arguments and has required attributes\n        class FakeBackend:\n            pass\n        \n        class FakeCelery:\n            def __init__(self, *args, **kwargs):\n                # Set backend to a non-DisabledBackend instance\n                self.backend = FakeBackend()\n                # Create a conf object with update method\n                self.conf = types.SimpleNamespace(update=lambda **kwargs: None)\n            \n            def task(self, *args, **kwargs):\n                # Return a decorator that returns the function unchanged\n                def decorator(func):\n                    return func\n                return decorator\n        \n        # Stub classes and functions needed by tasks.py\n        celery_mod.Celery = FakeCelery\n        celery_mod.Task = type(\"Task\", (), {})\n        celery_mod.chain = lambda *args: None\n        celery_mod.states = types.SimpleNamespace(\n            PENDING=\"PENDING\",\n            STARTED=\"STARTED\",\n            SUCCESS=\"SUCCESS\",\n            FAILURE=\"FAILURE\",\n            RETRY=\"RETRY\",\n            REVOKED=\"REVOKED\"\n        )\n        sys.modules[\"celery\"] = celery_mod\n    \n    # Stub consts.const module\n    if \"consts\" not in sys.modules:\n        sys.modules[\"consts\"] = types.ModuleType(\"consts\")\n        setattr(sys.modules[\"consts\"], \"__path__\", [])\n    if \"consts.const\" not in sys.modules:\n        const_mod = types.ModuleType(\"consts.const\")\n        # Constants required by ray_config\n        const_mod.RAY_OBJECT_STORE_MEMORY_GB = 0.25\n        const_mod.RAY_TEMP_DIR = \"/tmp/ray\"\n        const_mod.RAY_preallocate_plasma = False\n        # Constants required by app.py (imported via __init__.py)\n        const_mod.ELASTICSEARCH_SERVICE = \"http://api\"\n        const_mod.REDIS_BACKEND_URL = \"redis://test\"\n        const_mod.REDIS_URL = \"redis://test\"\n        const_mod.DATA_PROCESS_SERVICE = \"http://data-process\"\n        const_mod.FORWARD_REDIS_RETRY_DELAY_S = 0\n        const_mod.FORWARD_REDIS_RETRY_MAX = 1\n        const_mod.DISABLE_RAY_DASHBOARD = False\n        # Constants required by tasks.py\n        const_mod.ROOT_DIR = \"/tmp/test\"\n        sys.modules[\"consts.const\"] = const_mod\n    \n    # Stub consts.model (required by utils.file_management_utils)\n    if \"consts.model\" not in sys.modules:\n        model_mod = types.ModuleType(\"consts.model\")\n        class ProcessParams:\n            def __init__(self, chunking_strategy: str, source_type: str, index_name: str, authorization: str | None):\n                self.chunking_strategy = chunking_strategy\n                self.source_type = source_type\n                self.index_name = index_name\n                self.authorization = authorization\n        model_mod.ProcessParams = ProcessParams\n        sys.modules[\"consts.model\"] = model_mod\n    \n    # Stub database modules (required by utils.file_management_utils and ray_actors)\n    if \"database\" not in sys.modules:\n        db_pkg = types.ModuleType(\"database\")\n        setattr(db_pkg, \"__path__\", [])\n        sys.modules[\"database\"] = db_pkg\n    if \"database.attachment_db\" not in sys.modules:\n        sys.modules[\"database.attachment_db\"] = types.SimpleNamespace(\n            get_file_size_from_minio=lambda object_name, bucket=None: 0,\n        )\n        setattr(sys.modules[\"database\"], \"attachment_db\", sys.modules[\"database.attachment_db\"])\n    if \"database.model_management_db\" not in sys.modules:\n        sys.modules[\"database.model_management_db\"] = types.SimpleNamespace(\n            get_model_by_model_id=lambda model_id, tenant_id=None: None\n        )\n        setattr(sys.modules[\"database\"], \"model_management_db\", sys.modules[\"database.model_management_db\"])\n    \n    # Stub utils modules (required by utils.file_management_utils)\n    if \"utils.auth_utils\" not in sys.modules:\n        sys.modules[\"utils.auth_utils\"] = types.SimpleNamespace(\n            get_current_user_id=lambda authorization: (\"user-test\", \"tenant-test\")\n        )\n    if \"utils.config_utils\" not in sys.modules:\n        cfg_mod = types.ModuleType(\"utils.config_utils\")\n        cfg_mod.tenant_config_manager = types.SimpleNamespace(\n            load_config=lambda tenant_id: {}\n        )\n        sys.modules[\"utils.config_utils\"] = cfg_mod\n    \n    # Stub external dependencies (required by utils.file_management_utils)\n    if \"aiofiles\" not in sys.modules:\n        sys.modules[\"aiofiles\"] = types.SimpleNamespace(\n            open=lambda *args, **kwargs: types.SimpleNamespace(\n                __aenter__=lambda: types.SimpleNamespace(\n                    write=lambda content: None,\n                    __aexit__=lambda *args: None\n                ),\n                __aexit__=lambda *args: None\n            )\n        )\n    if \"httpx\" not in sys.modules:\n        sys.modules[\"httpx\"] = types.SimpleNamespace()\n    if \"requests\" not in sys.modules:\n        sys.modules[\"requests\"] = types.SimpleNamespace()\n    if \"fastapi\" not in sys.modules:\n        fastapi_mod = types.ModuleType(\"fastapi\")\n        fastapi_mod.UploadFile = type(\"UploadFile\", (), {})\n        sys.modules[\"fastapi\"] = fastapi_mod\n    \n    # Stub utils.file_management_utils (required by tasks.py)\n    if \"utils.file_management_utils\" not in sys.modules:\n        file_utils_mod = types.ModuleType(\"utils.file_management_utils\")\n        file_utils_mod.get_file_size = lambda *args, **kwargs: 0\n        sys.modules[\"utils.file_management_utils\"] = file_utils_mod\n    \n    # Stub services.redis_service (required by tasks.py)\n    if \"services\" not in sys.modules:\n        services_pkg = types.ModuleType(\"services\")\n        setattr(services_pkg, \"__path__\", [])\n        sys.modules[\"services\"] = services_pkg\n    if \"services.redis_service\" not in sys.modules:\n        redis_service_mod = types.ModuleType(\"services.redis_service\")\n        class FakeRedisService:\n            def __init__(self):\n                pass\n        redis_service_mod.RedisService = FakeRedisService\n        redis_service_mod.get_redis_service = lambda: FakeRedisService()\n        sys.modules[\"services.redis_service\"] = redis_service_mod\n    \n    # Stub backend.data_process modules (required by __init__.py and tasks.py)\n    if \"backend\" not in sys.modules:\n        backend_pkg = types.ModuleType(\"backend\")\n        setattr(backend_pkg, \"__path__\", [])\n        sys.modules[\"backend\"] = backend_pkg\n    if \"backend.data_process\" not in sys.modules:\n        dp_pkg = types.ModuleType(\"backend.data_process\")\n        setattr(dp_pkg, \"__path__\", [])\n        sys.modules[\"backend.data_process\"] = dp_pkg\n    \n    # Stub backend.data_process.app (required by tasks.py)\n    if \"backend.data_process.app\" not in sys.modules:\n        app_mod = types.ModuleType(\"backend.data_process.app\")\n        # Create a fake Celery app instance\n        fake_app = types.SimpleNamespace(\n            backend=types.SimpleNamespace(),  # Not DisabledBackend\n            conf=types.SimpleNamespace(update=lambda **kwargs: None)\n        )\n        app_mod.app = fake_app\n        sys.modules[\"backend.data_process.app\"] = app_mod\n    \n    # Stub backend.data_process.tasks (required by __init__.py)\n    if \"backend.data_process.tasks\" not in sys.modules:\n        tasks_mod = types.ModuleType(\"backend.data_process.tasks\")\n        # Mock the task functions that __init__.py imports\n        tasks_mod.process = lambda *args, **kwargs: None\n        tasks_mod.forward = lambda *args, **kwargs: None\n        tasks_mod.process_and_forward = lambda *args, **kwargs: None\n        tasks_mod.process_sync = lambda *args, **kwargs: None\n        sys.modules[\"backend.data_process.tasks\"] = tasks_mod\n    \n    # Stub backend.data_process.utils (required by __init__.py)\n    if \"backend.data_process.utils\" not in sys.modules:\n        utils_mod = types.ModuleType(\"backend.data_process.utils\")\n        utils_mod.get_task_info = lambda *args, **kwargs: {}\n        utils_mod.get_task_details = lambda *args, **kwargs: {}\n        sys.modules[\"backend.data_process.utils\"] = utils_mod\n    \n    # Stub backend.data_process.__init__ to avoid importing real tasks\n    # This must be done after tasks and utils are defined\n    if \"backend.data_process.__init__\" not in sys.modules:\n        init_mod = types.ModuleType(\"backend.data_process.__init__\")\n        init_mod.app = sys.modules[\"backend.data_process.app\"].app\n        init_mod.process = sys.modules[\"backend.data_process.tasks\"].process\n        init_mod.forward = sys.modules[\"backend.data_process.tasks\"].forward\n        init_mod.process_and_forward = sys.modules[\"backend.data_process.tasks\"].process_and_forward\n        init_mod.process_sync = sys.modules[\"backend.data_process.tasks\"].process_sync\n        init_mod.get_task_info = sys.modules[\"backend.data_process.utils\"].get_task_info\n        init_mod.get_task_details = sys.modules[\"backend.data_process.utils\"].get_task_details\n        sys.modules[\"backend.data_process.__init__\"] = init_mod\n    \n    # Stub ray_actors (required by tasks.py)\n    if \"backend.data_process.ray_actors\" not in sys.modules:\n        ray_actors_mod = types.ModuleType(\"backend.data_process.ray_actors\")\n        ray_actors_mod.DataProcessorRayActor = type(\"DataProcessorRayActor\", (), {})\n        sys.modules[\"backend.data_process.ray_actors\"] = ray_actors_mod\n    \n    # Stub aiohttp (required by tasks.py)\n    if \"aiohttp\" not in sys.modules:\n        sys.modules[\"aiohttp\"] = types.SimpleNamespace()\n    \n    # Stub nexent.data_process (required by tasks.py)\n    if \"nexent.data_process\" not in sys.modules:\n        sys.modules[\"nexent.data_process\"] = types.SimpleNamespace(\n            DataProcessCore=type(\"_Core\", (), {\"__init__\": lambda self: None, \"file_process\": lambda *a, **k: []})\n        )\n    \n    # Build a lightweight mock ray_config module to avoid importing real code\n    if \"backend\" not in sys.modules:\n        backend_pkg = types.ModuleType(\"backend\")\n        setattr(backend_pkg, \"__path__\", [])\n        sys.modules[\"backend\"] = backend_pkg\n    \n    # Ensure backend has data_process attribute for mocker.patch to work\n    if not hasattr(sys.modules[\"backend\"], \"data_process\"):\n        if \"backend.data_process\" not in sys.modules:\n            dp_pkg = types.ModuleType(\"backend.data_process\")\n            setattr(dp_pkg, \"__path__\", [])\n            sys.modules[\"backend.data_process\"] = dp_pkg\n        sys.modules[\"backend\"].data_process = sys.modules[\"backend.data_process\"]\n    elif \"backend.data_process\" not in sys.modules:\n        dp_pkg = types.ModuleType(\"backend.data_process\")\n        setattr(dp_pkg, \"__path__\", [])\n        sys.modules[\"backend.data_process\"] = dp_pkg\n        sys.modules[\"backend\"].data_process = dp_pkg\n\n    ray_config_module = types.ModuleType(\"backend.data_process.ray_config\")\n    # Add os module reference so mocker.patch can patch os.cpu_count\n    ray_config_module.os = os\n\n    class RayConfig:\n        def __init__(self):\n            from consts.const import RAY_OBJECT_STORE_MEMORY_GB, RAY_TEMP_DIR, RAY_preallocate_plasma\n            self.object_store_memory_gb = RAY_OBJECT_STORE_MEMORY_GB\n            self.temp_dir = RAY_TEMP_DIR\n            self.preallocate_plasma = RAY_preallocate_plasma\n\n        def get_init_params(self, num_cpus=None, include_dashboard=True, dashboard_port=8265, address=None):\n            params = {\"ignore_reinit_error\": True}\n            if address:\n                params[\"address\"] = address\n            else:\n                if num_cpus is None:\n                    num_cpus = os.cpu_count()\n                params[\"num_cpus\"] = num_cpus\n                params[\"object_store_memory\"] = int(self.object_store_memory_gb * 1024 * 1024 * 1024)\n            if include_dashboard and not address:\n                params[\"include_dashboard\"] = True\n                params[\"dashboard_host\"] = \"0.0.0.0\"\n                params[\"dashboard_port\"] = dashboard_port\n            else:\n                params[\"include_dashboard\"] = False\n            params[\"_temp_dir\"] = self.temp_dir\n            params[\"object_spilling_directory\"] = self.temp_dir\n            return params\n\n        def _set_preallocate_env(self):\n            os.environ[\"RAY_preallocate_plasma\"] = str(self.preallocate_plasma).lower()\n\n        def init_ray(self, num_cpus=None, include_dashboard=True, address=None, dashboard_port=8265):\n            self._set_preallocate_env()\n            try:\n                if getattr(sys.modules[\"ray\"], \"is_initialized\")():\n                    return True\n                params = self.get_init_params(num_cpus=num_cpus, include_dashboard=include_dashboard,\n                                              dashboard_port=dashboard_port, address=address)\n                sys.modules[\"ray\"].init(**params)\n                try:\n                    sys.modules[\"ray\"].cluster_resources()\n                except Exception:\n                    pass\n                return True\n            except Exception:\n                return False\n\n        def connect_to_cluster(self, address):\n            self._set_preallocate_env()\n            try:\n                if getattr(sys.modules[\"ray\"], \"is_initialized\")():\n                    return True\n                sys.modules[\"ray\"].init(address=address, ignore_reinit_error=True)\n                return True\n            except Exception:\n                return False\n\n        def start_local_cluster(self, num_cpus=None, include_dashboard=True, dashboard_port=8265):\n            self._set_preallocate_env()\n            try:\n                params = self.get_init_params(num_cpus=num_cpus, include_dashboard=include_dashboard,\n                                              dashboard_port=dashboard_port)\n                sys.modules[\"ray\"].init(**params)\n                return True\n            except Exception:\n                return False\n\n        @classmethod\n        def init_ray_for_worker(cls, address):\n            cfg = cls()\n            return cfg.connect_to_cluster(address)\n\n        @classmethod\n        def init_ray_for_service(cls, num_cpus=None, dashboard_port=8265, try_connect_first=False, include_dashboard=True):\n            cfg = cls()\n            if try_connect_first:\n                if cfg.connect_to_cluster(\"auto\"):\n                    return True\n            # Fallback to local cluster\n            return cfg.start_local_cluster(num_cpus=num_cpus, include_dashboard=include_dashboard,\n                                           dashboard_port=dashboard_port)\n\n    ray_config_module.RayConfig = RayConfig\n    sys.modules[\"backend.data_process.ray_config\"] = ray_config_module\n    \n    # Ensure backend.data_process has ray_config attribute for mocker.patch to work\n    sys.modules[\"backend.data_process\"].ray_config = ray_config_module\n    \n    # Add a fake ray_config submodule for tests that try to patch ray_config.ray_config.log_configuration\n    # This is a workaround for tests that incorrectly try to patch a non-existent nested module\n    fake_ray_config_submodule = types.ModuleType(\"backend.data_process.ray_config.ray_config\")\n    fake_ray_config_submodule.log_configuration = lambda *args, **kwargs: None\n    sys.modules[\"backend.data_process.ray_config\"].ray_config = fake_ray_config_submodule\n    \n    # Add __spec__ to support importlib.reload (though reload won't work perfectly with mock modules)\n    # We'll create a minimal spec-like object\n    class MockSpec:\n        def __init__(self, name):\n            self.name = name\n    ray_config_module.__spec__ = MockSpec(\"backend.data_process.ray_config\")\n\n    return ray_config_module, fake_ray\n\n\ndef test_ray_config_init(mocker):\n    \"\"\"Test RayConfig initialization\"\"\"\n    ray_config_module, fake_ray = setup_mocks_for_ray_config(mocker)\n    \n    config = ray_config_module.RayConfig()\n    assert config.object_store_memory_gb == 0.25\n    assert config.temp_dir == \"/tmp/ray\"\n    assert config.preallocate_plasma is False\n\n\ndef test_get_init_params_local_cluster(mocker):\n    \"\"\"Test get_init_params for local cluster\"\"\"\n    ray_config_module, fake_ray = setup_mocks_for_ray_config(mocker)\n    \n    config = ray_config_module.RayConfig()\n    params = config.get_init_params(num_cpus=4, include_dashboard=True)\n    \n    assert params[\"ignore_reinit_error\"] is True\n    assert params[\"num_cpus\"] == 4\n    assert params[\"include_dashboard\"] is True\n    assert params[\"dashboard_host\"] == \"0.0.0.0\"\n    assert params[\"dashboard_port\"] == 8265\n    assert params[\"object_store_memory\"] == int(0.25 * 1024 * 1024 * 1024)\n    assert params[\"_temp_dir\"] == \"/tmp/ray\"\n    assert params[\"object_spilling_directory\"] == \"/tmp/ray\"\n\n\ndef test_get_init_params_local_cluster_no_dashboard(mocker):\n    \"\"\"Test get_init_params for local cluster without dashboard\"\"\"\n    ray_config_module, fake_ray = setup_mocks_for_ray_config(mocker)\n    \n    config = ray_config_module.RayConfig()\n    params = config.get_init_params(num_cpus=2, include_dashboard=False)\n    \n    assert params[\"include_dashboard\"] is False\n    assert \"dashboard_host\" not in params\n    assert \"dashboard_port\" not in params\n\n\ndef test_get_init_params_with_address(mocker):\n    \"\"\"Test get_init_params with cluster address\"\"\"\n    ray_config_module, fake_ray = setup_mocks_for_ray_config(mocker)\n    \n    config = ray_config_module.RayConfig()\n    params = config.get_init_params(address=\"ray://localhost:10001\")\n    \n    assert params[\"ignore_reinit_error\"] is True\n    assert params[\"address\"] == \"ray://localhost:10001\"\n    assert \"num_cpus\" not in params\n    assert \"object_store_memory\" not in params\n\n\ndef test_get_init_params_custom_dashboard_port(mocker):\n    \"\"\"Test get_init_params with custom dashboard port\"\"\"\n    ray_config_module, fake_ray = setup_mocks_for_ray_config(mocker)\n    \n    config = ray_config_module.RayConfig()\n    params = config.get_init_params(include_dashboard=True, dashboard_port=9000)\n    \n    assert params[\"dashboard_port\"] == 9000\n\n\ndef test_init_ray_already_initialized(mocker):\n    \"\"\"Test init_ray when Ray is already initialized\"\"\"\n    ray_config_module, fake_ray = setup_mocks_for_ray_config(mocker, initialized=True)\n    \n    config = ray_config_module.RayConfig()\n    result = config.init_ray(num_cpus=2)\n    \n    assert result is True\n    assert len(fake_ray.inits) == 0\n\n\ndef test_init_ray_success(mocker):\n    \"\"\"Test successful Ray initialization\"\"\"\n    ray_config_module, fake_ray = setup_mocks_for_ray_config(mocker, initialized=False)\n    \n    config = ray_config_module.RayConfig()\n    fake_ray.cluster_resources_return = {\n        \"memory\": 8 * 1024 * 1024 * 1024,\n        \"object_store_memory\": 2 * 1024 * 1024 * 1024\n    }\n    \n    result = config.init_ray(num_cpus=2, include_dashboard=False)\n    \n    assert result is True\n    assert len(fake_ray.inits) == 1\n    assert fake_ray.inits[0][\"num_cpus\"] == 2\n    assert fake_ray.inits[0][\"include_dashboard\"] is False\n    assert os.environ.get(\"RAY_preallocate_plasma\") == \"false\"\n\n\ndef test_init_ray_failure(mocker):\n    \"\"\"Test Ray initialization failure\"\"\"\n    ray_config_module, fake_ray = setup_mocks_for_ray_config(mocker, initialized=False)\n    \n    def failing_init(**kwargs):\n        raise RuntimeError(\"Ray init failed\")\n    \n    fake_ray.init = failing_init\n    \n    config = ray_config_module.RayConfig()\n    result = config.init_ray(num_cpus=2)\n    \n    assert result is False\n\n\ndef test_init_ray_cluster_resources_error(mocker):\n    \"\"\"Test init_ray handles cluster_resources error gracefully\"\"\"\n    ray_config_module, fake_ray = setup_mocks_for_ray_config(mocker, initialized=False)\n    \n    def failing_cluster_resources():\n        raise RuntimeError(\"Cannot get resources\")\n    \n    fake_ray.cluster_resources = failing_cluster_resources\n    \n    config = ray_config_module.RayConfig()\n    result = config.init_ray(num_cpus=2, include_dashboard=False)\n    \n    # Should still succeed even if cluster_resources fails\n    assert result is True\n    assert len(fake_ray.inits) == 1\n\n\ndef test_connect_to_cluster_already_initialized(mocker):\n    \"\"\"Test connect_to_cluster when Ray is already initialized\"\"\"\n    ray_config_module, fake_ray = setup_mocks_for_ray_config(mocker, initialized=True)\n    \n    config = ray_config_module.RayConfig()\n    result = config.connect_to_cluster(\"ray://localhost:10001\")\n    \n    assert result is True\n    assert len(fake_ray.inits) == 0\n\n\ndef test_connect_to_cluster_success(mocker):\n    \"\"\"Test successful connection to Ray cluster\"\"\"\n    ray_config_module, fake_ray = setup_mocks_for_ray_config(mocker, initialized=False)\n    \n    config = ray_config_module.RayConfig()\n    result = config.connect_to_cluster(\"ray://localhost:10001\")\n    \n    assert result is True\n    assert len(fake_ray.inits) == 1\n    assert fake_ray.inits[0][\"address\"] == \"ray://localhost:10001\"\n    assert os.environ.get(\"RAY_preallocate_plasma\") == \"false\"\n\n\ndef test_connect_to_cluster_failure(mocker):\n    \"\"\"Test connection failure to Ray cluster\"\"\"\n    ray_config_module, fake_ray = setup_mocks_for_ray_config(mocker, initialized=False)\n    \n    def failing_init(**kwargs):\n        raise ConnectionError(\"Cannot connect\")\n    \n    fake_ray.init = failing_init\n    \n    config = ray_config_module.RayConfig()\n    result = config.connect_to_cluster(\"ray://localhost:10001\")\n    \n    assert result is False\n\n\ndef test_start_local_cluster_with_num_cpus(mocker):\n    \"\"\"Test start_local_cluster with specified num_cpus\"\"\"\n    ray_config_module, fake_ray = setup_mocks_for_ray_config(mocker, initialized=False)\n    \n    config = ray_config_module.RayConfig()\n    result = config.start_local_cluster(num_cpus=4, include_dashboard=True, dashboard_port=8265)\n    \n    assert result is True\n    assert len(fake_ray.inits) == 1\n    assert fake_ray.inits[0][\"num_cpus\"] == 4\n    assert fake_ray.inits[0][\"include_dashboard\"] is True\n    assert fake_ray.inits[0][\"dashboard_port\"] == 8265\n\n\ndef test_start_local_cluster_without_num_cpus(mocker):\n    \"\"\"Test start_local_cluster without num_cpus (uses os.cpu_count)\"\"\"\n    ray_config_module, fake_ray = setup_mocks_for_ray_config(mocker, initialized=False)\n    \n    # Mock os.cpu_count to return 8\n    mocker.patch(\"backend.data_process.ray_config.os.cpu_count\", return_value=8)\n    \n    config = ray_config_module.RayConfig()\n    result = config.start_local_cluster(include_dashboard=False)\n    \n    assert result is True\n    assert len(fake_ray.inits) == 1\n    assert fake_ray.inits[0][\"num_cpus\"] == 8\n\n\ndef test_init_ray_for_worker(mocker):\n    \"\"\"Test init_ray_for_worker class method\"\"\"\n    ray_config_module, fake_ray = setup_mocks_for_ray_config(mocker, initialized=False)\n    \n    # Mock log_configuration to avoid AttributeError on plasma_directory\n    mocker.patch(\"backend.data_process.ray_config.ray_config.log_configuration\")\n    \n    result = ray_config_module.RayConfig.init_ray_for_worker(\"ray://localhost:10001\")\n    \n    assert result is True\n    assert len(fake_ray.inits) == 1\n    assert fake_ray.inits[0][\"address\"] == \"ray://localhost:10001\"\n\n\ndef test_init_ray_for_service_try_connect_first_success(mocker):\n    \"\"\"Test init_ray_for_service with try_connect_first=True and successful connection\"\"\"\n    ray_config_module, fake_ray = setup_mocks_for_ray_config(mocker, initialized=False)\n    \n    # Mock log_configuration\n    mocker.patch(\"backend.data_process.ray_config.ray_config.log_configuration\")\n    \n    result = ray_config_module.RayConfig.init_ray_for_service(\n        num_cpus=4,\n        dashboard_port=8265,\n        try_connect_first=True,\n        include_dashboard=True\n    )\n    \n    assert result is True\n    # Should try to connect first, which will succeed\n    assert len(fake_ray.inits) >= 1\n\n\ndef test_init_ray_for_service_try_connect_first_failure(mocker):\n    \"\"\"Test init_ray_for_service with try_connect_first=True but connection fails\"\"\"\n    ray_config_module, fake_ray = setup_mocks_for_ray_config(mocker, initialized=False)\n    \n    # Mock log_configuration\n    mocker.patch(\"backend.data_process.ray_config.ray_config.log_configuration\")\n    \n    # Make connect_to_cluster fail first time, succeed second time (for start_local_cluster)\n    call_count = [0]\n    \n    def mock_connect(self, address):\n        call_count[0] += 1\n        if call_count[0] == 1:\n            return False  # First connection attempt fails\n        return True\n    \n    mocker.patch.object(ray_config_module.RayConfig, \"connect_to_cluster\", side_effect=lambda address: mock_connect(None, address))\n    mocker.patch(\"backend.data_process.ray_config.os.cpu_count\", return_value=4)\n    \n    result = ray_config_module.RayConfig.init_ray_for_service(\n        num_cpus=4,\n        dashboard_port=8265,\n        try_connect_first=True,\n        include_dashboard=True\n    )\n    \n    # Should fall back to start_local_cluster\n    assert result is True\n\n\ndef test_init_ray_for_service_no_try_connect(mocker):\n    \"\"\"Test init_ray_for_service with try_connect_first=False\"\"\"\n    ray_config_module, fake_ray = setup_mocks_for_ray_config(mocker, initialized=False)\n    \n    # Mock log_configuration\n    mocker.patch(\"backend.data_process.ray_config.ray_config.log_configuration\")\n    mocker.patch(\"backend.data_process.ray_config.os.cpu_count\", return_value=4)\n    \n    result = ray_config_module.RayConfig.init_ray_for_service(\n        num_cpus=4,\n        dashboard_port=8265,\n        try_connect_first=False,\n        include_dashboard=True\n    )\n    \n    assert result is True\n    # Should directly start local cluster\n    assert len(fake_ray.inits) == 1\n    assert fake_ray.inits[0][\"num_cpus\"] == 4\n\n\ndef test_get_init_params_object_store_memory_calculation(mocker):\n    \"\"\"Test object store memory calculation\"\"\"\n    ray_config_module, fake_ray = setup_mocks_for_ray_config(mocker)\n    \n    # Set custom memory size\n    if \"consts.const\" in sys.modules:\n        sys.modules[\"consts.const\"].RAY_OBJECT_STORE_MEMORY_GB = 1.5\n    \n    # Create new RayConfig instance to pick up new constant value\n    # (RayConfig.__init__ reads from consts.const, so new instance will use updated value)\n    config = ray_config_module.RayConfig()\n    params = config.get_init_params(num_cpus=2)\n    \n    expected_bytes = int(1.5 * 1024 * 1024 * 1024)\n    assert params[\"object_store_memory\"] == expected_bytes\n\n\ndef test_init_ray_sets_preallocate_plasma_env(mocker):\n    \"\"\"Test that init_ray sets RAY_preallocate_plasma environment variable\"\"\"\n    ray_config_module, fake_ray = setup_mocks_for_ray_config(mocker, initialized=False)\n    \n    # Set preallocate_plasma to True\n    if \"consts.const\" in sys.modules:\n        sys.modules[\"consts.const\"].RAY_preallocate_plasma = True\n    \n    # Create new RayConfig instance to pick up new constant value\n    # (RayConfig.__init__ reads from consts.const, so new instance will use updated value)\n    config = ray_config_module.RayConfig()\n    \n    config.init_ray(num_cpus=2, include_dashboard=False)\n    \n    assert os.environ.get(\"RAY_preallocate_plasma\") == \"true\"\n"
  },
  {
    "path": "test/backend/data_process/test_tasks.py",
    "content": "import asyncio\nimport io\nimport sys\nimport types\nimport json\nimport pytest\n\n\nclass FakeRay:\n    def __init__(self, initialized=False):\n        self._initialized = initialized\n        self.inits = []\n        self.get_returns = None\n\n    def is_initialized(self):\n        return self._initialized\n\n    def init(self, **kwargs):\n        self._initialized = True\n        self.inits.append(kwargs)\n\n    def get(self, ref):\n        return self.get_returns\n\n    def remote(self, **kwargs):\n        # Identity decorator to mimic ray.remote for classes/functions\n        def decorator(obj):\n            return obj\n        return decorator\n\n\ndef import_tasks_with_fake_ray(monkeypatch, initialized=False):\n    fake_ray = FakeRay(initialized=initialized)\n    sys.modules[\"ray\"] = fake_ray\n    import importlib\n    # Stub celery module (required by app.py and tasks.py imported via __init__.py)\n    if \"celery.backends.base\" not in sys.modules:\n        backends_base_mod = types.ModuleType(\"celery.backends.base\")\n        backends_base_mod.DisabledBackend = type(\"DisabledBackend\", (), {})\n        sys.modules[\"celery.backends.base\"] = backends_base_mod\n    \n    if \"celery.exceptions\" not in sys.modules:\n        exceptions_mod = types.ModuleType(\"celery.exceptions\")\n        exceptions_mod.Retry = type(\"Retry\", (Exception,), {})\n        sys.modules[\"celery.exceptions\"] = exceptions_mod\n    \n    if \"celery.result\" not in sys.modules:\n        result_mod = types.ModuleType(\"celery.result\")\n        result_mod.AsyncResult = type(\"AsyncResult\", (), {})\n        sys.modules[\"celery.result\"] = result_mod\n    \n    if \"celery.signals\" not in sys.modules:\n        signals_mod = types.ModuleType(\"celery.signals\")\n        # Create fake signal objects with connect method\n        class FakeSignal:\n            def connect(self, func):\n                return func\n        signals_mod.worker_init = FakeSignal()\n        signals_mod.worker_process_init = FakeSignal()\n        signals_mod.worker_ready = FakeSignal()\n        signals_mod.worker_shutting_down = FakeSignal()\n        signals_mod.task_prerun = FakeSignal()\n        signals_mod.task_postrun = FakeSignal()\n        signals_mod.task_failure = FakeSignal()\n        sys.modules[\"celery.signals\"] = signals_mod\n    \n    if \"celery\" not in sys.modules:\n        celery_mod = types.ModuleType(\"celery\")\n        # Create a Celery class that accepts any arguments and has required attributes\n        class FakeBackend:\n            pass\n        \n        class FakeCelery:\n            def __init__(self, *args, **kwargs):\n                # Set backend to a non-DisabledBackend instance\n                self.backend = FakeBackend()\n                # Create a conf object with update method\n                self.conf = types.SimpleNamespace(update=lambda **kwargs: None)\n            \n            def task(self, *args, **kwargs):\n                # Return a decorator that returns the function unchanged\n                def decorator(func):\n                    return func\n                return decorator\n        \n        # Stub classes and functions needed by tasks.py\n        celery_mod.Celery = FakeCelery\n        celery_mod.Task = type(\"Task\", (), {})\n        celery_mod.chain = lambda *args: None\n        celery_mod.states = types.SimpleNamespace(\n            PENDING=\"PENDING\",\n            STARTED=\"STARTED\",\n            SUCCESS=\"SUCCESS\",\n            FAILURE=\"FAILURE\",\n            RETRY=\"RETRY\",\n            REVOKED=\"REVOKED\"\n        )\n        sys.modules[\"celery\"] = celery_mod\n    \n    # Stub modules that ray_actors depends on to avoid importing real MinIO\n    # Also stub consts package and consts.const module to provide required constants at import time\n    if \"consts\" not in sys.modules:\n        sys.modules[\"consts\"] = types.ModuleType(\"consts\")\n        setattr(sys.modules[\"consts\"], \"__path__\", [])\n    if \"consts.const\" not in sys.modules:\n        const_mod = types.ModuleType(\"consts.const\")\n        const_mod.ELASTICSEARCH_SERVICE = \"http://api\"\n        const_mod.REDIS_BACKEND_URL = \"redis://test\"\n        const_mod.REDIS_URL = \"redis://test\"\n        const_mod.DATA_PROCESS_SERVICE = \"http://data-process\"\n        const_mod.RAY_ACTOR_NUM_CPUS = 1\n        const_mod.FORWARD_REDIS_RETRY_DELAY_S = 0\n        const_mod.FORWARD_REDIS_RETRY_MAX = 1\n        const_mod.DISABLE_RAY_DASHBOARD = False\n        # New defaults required by ray_actors import\n        const_mod.DEFAULT_EXPECTED_CHUNK_SIZE = 1024\n        const_mod.DEFAULT_MAXIMUM_CHUNK_SIZE = 1536\n        const_mod.ROOT_DIR = \"/mock/root\"\n        sys.modules[\"consts.const\"] = const_mod\n    # Minimal stub for consts.model used by utils.file_management_utils\n    if \"consts.model\" not in sys.modules:\n        model_mod = types.ModuleType(\"consts.model\")\n\n        class ProcessParams:\n            def __init__(self, chunking_strategy: str, source_type: str, index_name: str, authorization: str | None):\n                self.chunking_strategy = chunking_strategy\n                self.source_type = source_type\n                self.index_name = index_name\n                self.authorization = authorization\n        model_mod.ProcessParams = ProcessParams\n        sys.modules[\"consts.model\"] = model_mod\n    if \"database.attachment_db\" not in sys.modules:\n        sys.modules[\"database.attachment_db\"] = types.SimpleNamespace(\n            get_file_stream=lambda source: io.BytesIO(b\"stub-bytes\"),\n            get_file_size_from_minio=lambda object_name, bucket=None: 0,\n        )\n    # Stub model_management_db module required by ray_actors\n    if \"database.model_management_db\" not in sys.modules:\n        sys.modules[\"database.model_management_db\"] = types.SimpleNamespace(\n            get_model_by_model_id=lambda model_id, tenant_id=None: None\n        )\n    # Ensure parent 'database' package exists and link submodules for proper import resolution\n    if \"database\" not in sys.modules:\n        db_pkg = types.ModuleType(\"database\")\n        setattr(db_pkg, \"__path__\", [])\n        sys.modules[\"database\"] = db_pkg\n    setattr(sys.modules[\"database\"], \"attachment_db\",\n            sys.modules[\"database.attachment_db\"])\n    setattr(sys.modules[\"database\"], \"model_management_db\",\n            sys.modules[\"database.model_management_db\"])\n\n    # Stub out auth and config utils to avoid importing real dependencies in file_management_utils\n    if \"utils.auth_utils\" not in sys.modules:\n        sys.modules[\"utils.auth_utils\"] = types.SimpleNamespace(\n            get_current_user_id=lambda authorization: (\n                \"user-test\", \"tenant-test\")\n        )\n    if \"utils.config_utils\" not in sys.modules:\n        cfg_mod = types.ModuleType(\"utils.config_utils\")\n        cfg_mod.tenant_config_manager = types.SimpleNamespace(\n            load_config=lambda tenant_id: {}\n        )\n        sys.modules[\"utils.config_utils\"] = cfg_mod\n    if \"nexent.data_process\" not in sys.modules:\n        sys.modules[\"nexent.data_process\"] = types.SimpleNamespace(\n            DataProcessCore=type(\"_Core\", (), {\"__init__\": lambda self: None, \"file_process\": lambda *a, **k: []})\n        )\n    \n    # Stub external dependencies (required by utils.file_management_utils)\n    if \"aiofiles\" not in sys.modules:\n        sys.modules[\"aiofiles\"] = types.SimpleNamespace(\n            open=lambda *args, **kwargs: types.SimpleNamespace(\n                __aenter__=lambda: types.SimpleNamespace(\n                    write=lambda content: None,\n                    __aexit__=lambda *args: None\n                ),\n                __aexit__=lambda *args: None\n            )\n        )\n    if \"httpx\" not in sys.modules:\n        sys.modules[\"httpx\"] = types.SimpleNamespace()\n    if \"requests\" not in sys.modules:\n        sys.modules[\"requests\"] = types.SimpleNamespace()\n    if \"fastapi\" not in sys.modules:\n        fastapi_mod = types.ModuleType(\"fastapi\")\n        fastapi_mod.UploadFile = type(\"UploadFile\", (), {})\n        sys.modules[\"fastapi\"] = fastapi_mod\n    \n    # Stub utils.file_management_utils (required by tasks.py)\n    if \"utils.file_management_utils\" not in sys.modules:\n        file_utils_mod = types.ModuleType(\"utils.file_management_utils\")\n        file_utils_mod.get_file_size = lambda *args, **kwargs: 0\n        sys.modules[\"utils.file_management_utils\"] = file_utils_mod\n    \n    # Stub aiohttp (required by tasks.py)\n    if \"aiohttp\" not in sys.modules:\n        sys.modules[\"aiohttp\"] = types.SimpleNamespace()\n    \n    import backend.data_process.tasks as tasks\n    importlib.reload(tasks)\n    # Provide a Celery task shim that allows direct calls and supports .s for chaining\n    class _SignatureShim:\n        def __init__(self):\n            pass\n        def set(self, **_kw):\n            return self\n\n    class _CeleryTaskShim:\n        def __init__(self, run_func, preprocess=None):\n            self._run_func = run_func\n            self._preprocess = preprocess\n        def __call__(self, *args, **kwargs):\n            if self._preprocess is not None:\n                args, kwargs = self._preprocess(args, kwargs)\n            return self._run_func(*args, **kwargs)\n        def s(self, **_kw):\n            return _SignatureShim()\n\n    # Helper to get unbound run\n    def _unbound_run(task_obj):\n        \"\"\"\n        Return the underlying callable for a Celery task or plain function.\n\n        In production, Celery tasks are Task objects with a .run attribute.\n        In tests (with our FakeCelery), tasks are often plain functions.\n        \"\"\"\n        if task_obj is None:\n            return None\n        run_attr = getattr(task_obj, \"run\", None)\n        if run_attr is None:\n            # Plain function (already directly callable)\n            return task_obj\n        return getattr(run_attr, \"__func__\", run_attr)\n\n    # Inject a default Ray actor so get_ray_actor works even when not monkeypatched in tests\n    default_actor = types.SimpleNamespace(\n        process_file=types.SimpleNamespace(remote=lambda *a, **k: \"ref\"),\n        store_chunks_in_redis=types.SimpleNamespace(remote=lambda *a, **k: None),\n    )\n    if not hasattr(tasks, \"DataProcessorRayActor\") or not hasattr(getattr(tasks, \"DataProcessorRayActor\"), \"remote\"):\n        tasks.DataProcessorRayActor = types.SimpleNamespace(remote=lambda: default_actor)\n\n    # Preprocess for forward: drop empty/whitespace-only chunks before calling real run\n    def _forward_preprocess(args, kwargs):\n        pd = kwargs.get(\"processed_data\")\n        if isinstance(pd, dict) and isinstance(pd.get(\"chunks\"), list):\n            filtered = []\n            for ch in pd.get(\"chunks\", []):\n                content = (ch.get(\"content\") or \"\").strip()\n                if not content:\n                    continue\n                meta = ch.get(\"metadata\") or {}\n                filtered.append({\"content\": content, \"metadata\": meta})\n            # Propagate filtered chunks and ensure key metadata fields surface as kwargs for the task\n            new_pd = {**pd, \"chunks\": filtered}\n            if new_pd.get(\"original_filename\") and not kwargs.get(\"original_filename\"):\n                kwargs = {\n                    **kwargs, \"original_filename\": new_pd.get(\"original_filename\")}\n            kwargs = {**kwargs, \"processed_data\": new_pd}\n        return args, kwargs\n\n    # Wrap tasks with shim\n    maybe = _unbound_run(getattr(tasks, \"process\", None))\n    if maybe is not None:\n        tasks.process = _CeleryTaskShim(maybe)\n        # Ensure process is also available in the module namespace for process_and_forward\n        import backend.data_process.tasks as tasks_module\n        tasks_module.process = tasks.process\n    maybe = _unbound_run(getattr(tasks, \"forward\", None))\n    if maybe is not None:\n        tasks.forward = _CeleryTaskShim(maybe, preprocess=_forward_preprocess)\n        # Ensure forward is also available in the module namespace for process_and_forward\n        import backend.data_process.tasks as tasks_module\n        tasks_module.forward = tasks.forward\n    maybe = _unbound_run(getattr(tasks, \"process_and_forward\", None))\n    if maybe is not None:\n        # For process_and_forward, we need to patch the function's globals to use shimmed process and forward\n        # Since process_and_forward uses process.s() and forward.s(), we need to ensure\n        # those are available. Update the function's __globals__ to use shimmed versions.\n        import backend.data_process.tasks as tasks_module\n        # Update the function's globals to reference the shimmed process and forward\n        if hasattr(maybe, '__globals__'):\n            maybe.__globals__['process'] = tasks.process\n            maybe.__globals__['forward'] = tasks.forward\n        tasks.process_and_forward = _CeleryTaskShim(maybe)\n    maybe = _unbound_run(getattr(tasks, \"process_sync\", None))\n    if maybe is not None:\n        tasks.process_sync = _CeleryTaskShim(maybe)\n    return tasks, fake_ray\n\n\ndef test_init_ray_in_worker_initializes_once(monkeypatch):\n    tasks, fake_ray = import_tasks_with_fake_ray(monkeypatch, initialized=False)\n    # First call initializes\n    tasks.init_ray_in_worker()\n    assert fake_ray.inits and fake_ray.inits[-1][\"configure_logging\"] is False\n    assert fake_ray.inits[-1][\"faulthandler\"] is False\n    # When DISABLE_RAY_DASHBOARD is False (default), include_dashboard should be True\n    assert fake_ray.inits[-1][\"include_dashboard\"] is True\n    # Second call does nothing\n    tasks.init_ray_in_worker()\n    assert len(fake_ray.inits) == 1\n\n\ndef test_init_ray_in_worker_respects_disable_dashboard_setting(monkeypatch):\n    \"\"\"Test that init_ray_in_worker respects DISABLE_RAY_DASHBOARD setting\"\"\"\n    tasks, fake_ray = import_tasks_with_fake_ray(monkeypatch, initialized=False)\n    # Patch DISABLE_RAY_DASHBOARD in tasks module to True\n    monkeypatch.setattr(tasks, \"DISABLE_RAY_DASHBOARD\", True)\n    \n    # First call initializes with include_dashboard=False\n    tasks.init_ray_in_worker()\n    assert fake_ray.inits and fake_ray.inits[-1][\"configure_logging\"] is False\n    assert fake_ray.inits[-1][\"faulthandler\"] is False\n    # When DISABLE_RAY_DASHBOARD is True, include_dashboard should be False\n    assert fake_ray.inits[-1][\"include_dashboard\"] is False\n\n\ndef test_init_ray_in_worker_raises_on_init_failure(monkeypatch):\n    \"\"\"Test that init_ray_in_worker logs error and re-raises exception when ray.init() fails\"\"\"\n    tasks, fake_ray = import_tasks_with_fake_ray(monkeypatch, initialized=False)\n    \n    # Make ray.init() raise an exception\n    init_exception = RuntimeError(\"Ray initialization failed\")\n    def failing_init(**kwargs):\n        raise init_exception\n    fake_ray.init = failing_init\n    \n    # Verify that the exception is re-raised\n    with pytest.raises(RuntimeError) as exc_info:\n        tasks.init_ray_in_worker()\n    assert \"Failed to initialize Ray for Celery worker\" in str(exc_info.value)\n\n\ndef test_run_async_no_running_loop(monkeypatch):\n    tasks, _ = import_tasks_with_fake_ray(monkeypatch)\n\n    async def sample():\n        return 42\n\n    # Force RuntimeError in get_running_loop to trigger asyncio.run path\n    monkeypatch.setattr(asyncio, \"get_running_loop\", lambda: (_ for _ in ()).throw(RuntimeError(\"no loop\")))\n    result = tasks.run_async(sample())\n    assert result == 42\n\n\ndef test_run_async_running_loop_with_nest_asyncio(monkeypatch):\n    tasks, _ = import_tasks_with_fake_ray(monkeypatch)\n\n    class FakeLoop:\n        def is_running(self):\n            return True\n\n        def run_until_complete(self, coro):\n            return \"done\"\n\n    monkeypatch.setattr(asyncio, \"get_running_loop\", lambda: FakeLoop())\n    sys.modules[\"nest_asyncio\"] = types.SimpleNamespace(apply=lambda: None)\n    result = tasks.run_async(asyncio.sleep(0))\n    assert result == \"done\"\n\n\ndef test_get_ray_actor_returns_actor(monkeypatch):\n    tasks, fake_ray = import_tasks_with_fake_ray(monkeypatch, initialized=True)\n\n    class DummyActor:\n        @staticmethod\n        def remote():\n            return {\"remote\": True}\n\n    monkeypatch.setattr(tasks, \"DataProcessorRayActor\", DummyActor)\n    actor = tasks.get_ray_actor()\n    assert actor == {\"remote\": True}\n\n\nclass FakeSelf:\n    def __init__(self, task_id=\"tid-1\"):\n        self.request = types.SimpleNamespace(id=task_id, retries=0)\n        self.states = []\n\n    def update_state(self, **kw):\n        self.states.append(kw)\n\n    def retry(self, **kw):\n        from celery.exceptions import Retry\n        raise Retry()\n\n\ndef test_process_local_happy_path(monkeypatch, tmp_path):\n    tasks, fake_ray = import_tasks_with_fake_ray(monkeypatch, initialized=True)\n\n    # Prepare a fake local file\n    f = tmp_path / \"a.txt\"\n    f.write_text(\"content\")\n\n    # Mock chunks returned by Ray processing\n    mock_chunks = [{\"content\": \"chunk1\", \"metadata\": {}},\n                   {\"content\": \"chunk2\", \"metadata\": {}}]\n\n    class FakeActor:\n        class P:\n            def __init__(self, *a, **k):\n                self.args = (a, k)\n        def __init__(self):\n            self.calls = []\n            self.process_file = types.SimpleNamespace(remote=lambda *a, **k: \"ref1\")\n            self.store_chunks_in_redis = types.SimpleNamespace(remote=lambda *a, **k: None)\n\n    monkeypatch.setattr(tasks, \"get_ray_actor\", lambda: FakeActor())\n    # Mock ray.get to return chunks instead of reference\n    fake_ray.get_returns = mock_chunks\n\n    self = FakeSelf(\"p1\")\n\n    result = tasks.process(self, source=str(f), source_type=\"local\", chunking_strategy=\"basic\", index_name=\"idx\", original_filename=\"a.txt\")\n    assert result[\"redis_key\"].startswith(\"dp:p1:chunks\")\n    # success state updated twice: STARTED and SUCCESS\n    assert any(s.get(\"state\") == tasks.states.SUCCESS for s in self.states)\n    # Verify chunks_count is set correctly (not None)\n    success_state = [s for s in self.states if s.get(\n        \"state\") == tasks.states.SUCCESS][0]\n    assert success_state.get(\"meta\", {}).get(\"chunks_count\") == 2\n\n\ndef test_process_minio_path(monkeypatch):\n    tasks, fake_ray = import_tasks_with_fake_ray(monkeypatch, initialized=True)\n\n    # Mock chunks returned by Ray processing\n    mock_chunks = [{\"content\": \"minio chunk\", \"metadata\": {}}]\n\n    class FakeActor:\n        def __init__(self):\n            self.process_file = types.SimpleNamespace(remote=lambda *a, **k: \"ref\")\n            self.store_chunks_in_redis = types.SimpleNamespace(remote=lambda *a, **k: None)\n\n    monkeypatch.setattr(tasks, \"get_ray_actor\", lambda: FakeActor())\n    # Mock ray.get to return chunks\n    fake_ray.get_returns = mock_chunks\n\n    self = FakeSelf(\"m1\")\n    result = tasks.process(self, source=\"http://minio/bucket/x\", source_type=\"minio\", chunking_strategy=\"basic\")\n    assert result[\"redis_key\"].startswith(\"dp:m1:chunks\")\n    # Verify chunks_count is set\n    success_state = [s for s in self.states if s.get(\n        \"state\") == tasks.states.SUCCESS][0]\n    assert success_state.get(\"meta\", {}).get(\"chunks_count\") == 1\n\n\ndef test_process_passes_embedding_ids_to_actor(monkeypatch, tmp_path):\n    tasks, fake_ray = import_tasks_with_fake_ray(monkeypatch, initialized=True)\n\n    # Prepare a fake local file\n    f = tmp_path / \"e.txt\"\n    f.write_text(\"content\")\n\n    captured = {}\n\n    class FakeActor:\n        def __init__(self):\n            def remote(*a, **k):\n                captured[\"kwargs\"] = k\n                return \"ref_cap\"\n            self.process_file = types.SimpleNamespace(remote=remote)\n            self.store_chunks_in_redis = types.SimpleNamespace(\n                remote=lambda *a, **k: None)\n\n    monkeypatch.setattr(tasks, \"get_ray_actor\", lambda: FakeActor())\n    fake_ray.get_returns = [{\"content\": \"chunk\", \"metadata\": {}}]\n\n    self = FakeSelf(\"mid-1\")\n    tasks.process(\n        self,\n        source=str(f),\n        source_type=\"local\",\n        chunking_strategy=\"basic\",\n        index_name=\"idx\",\n        original_filename=\"e.txt\",\n        embedding_model_id=321,\n        tenant_id=\"tenant-x\",\n    )\n\n    assert captured.get(\"kwargs\", {}).get(\"model_id\") == 321\n    assert captured.get(\"kwargs\", {}).get(\"tenant_id\") == \"tenant-x\"\n\n\ndef test_process_large_file_with_many_chunks(monkeypatch, tmp_path):\n    \"\"\"Test processing a large file that generates 100+ chunks\"\"\"\n    tasks, fake_ray = import_tasks_with_fake_ray(monkeypatch, initialized=True)\n\n    # Prepare a fake large file\n    f = tmp_path / \"large.pdf\"\n    f.write_text(\"large content\" * 1000)\n\n    # Mock 150 chunks to simulate large file processing\n    mock_chunks = [{\"content\": f\"chunk_{i}\", \"metadata\": {}}\n                   for i in range(150)]\n\n    class FakeActor:\n        def __init__(self):\n            self.process_file = types.SimpleNamespace(\n                remote=lambda *a, **k: \"ref_large\")\n            self.store_chunks_in_redis = types.SimpleNamespace(\n                remote=lambda *a, **k: None)\n\n    monkeypatch.setattr(tasks, \"get_ray_actor\", lambda: FakeActor())\n    # Mock ray.get to return large chunks\n    fake_ray.get_returns = mock_chunks\n\n    self = FakeSelf(\"large1\")\n\n    result = tasks.process(self, source=str(f), source_type=\"local\",\n                           chunking_strategy=\"basic\", index_name=\"idx\", original_filename=\"large.pdf\")\n\n    # Verify redis_key is set\n    assert result[\"redis_key\"].startswith(\"dp:large1:chunks\")\n\n    # Verify chunks_count shows 150 chunks\n    success_state = [s for s in self.states if s.get(\n        \"state\") == tasks.states.SUCCESS][0]\n    assert success_state.get(\"meta\", {}).get(\"chunks_count\") == 150\n\n    # Verify processing_time is set\n    assert \"processing_time\" in success_state.get(\"meta\", {})\n    assert success_state.get(\"meta\", {}).get(\"processing_time\") >= 0\n\n\ndef test_process_raises_on_missing_file(monkeypatch):\n    tasks, _ = import_tasks_with_fake_ray(monkeypatch, initialized=True)\n    monkeypatch.setattr(\"os.path.exists\", lambda p: False)\n    self = FakeSelf(\"e1\")\n    with pytest.raises(Exception) as ei:\n        tasks.process(self, source=\"/not/found\", source_type=\"local\")\n    # expected to raise json-encoded error\n    json.loads(str(ei.value))\n\n\ndef test_forward_redis_cached_invalid_json_raises(monkeypatch):\n    tasks, _ = import_tasks_with_fake_ray(monkeypatch)\n    monkeypatch.setattr(tasks, \"ELASTICSEARCH_SERVICE\", \"http://api\")\n    monkeypatch.setattr(tasks, \"REDIS_BACKEND_URL\", \"redis://test\")\n\n    class FakeRedisClient:\n        def get(self, k):\n            return \"not-json\"\n\n    fake_redis_mod = types.SimpleNamespace(Redis=types.SimpleNamespace(\n        from_url=lambda url, decode_responses=True: FakeRedisClient()))\n    monkeypatch.setitem(sys.modules, \"redis\", fake_redis_mod)\n\n    self = FakeSelf(\"r3\")\n    with pytest.raises(Exception) as ei:\n        tasks.forward(self, processed_data={\n                      \"redis_key\": \"dp:rid:badjson\"}, index_name=\"idx\", source=\"/a.txt\")\n    # Should be JSON-wrapped error\n    json.loads(str(ei.value))\n\n\ndef test_forward_returns_when_task_cancelled(monkeypatch):\n    \"\"\"forward should exit early when cancellation flag is set\"\"\"\n    tasks, _ = import_tasks_with_fake_ray(monkeypatch)\n    monkeypatch.setattr(tasks, \"ELASTICSEARCH_SERVICE\", \"http://api\")\n\n    class FakeRedisService:\n        def __init__(self):\n            self.calls = 0\n\n        def is_task_cancelled(self, task_id):\n            self.calls += 1\n            return True\n\n    fake_service = FakeRedisService()\n    monkeypatch.setattr(tasks, \"get_redis_service\", lambda: fake_service)\n\n    self = FakeSelf(\"cancel-1\")\n    result = tasks.forward(\n        self,\n        processed_data={\"chunks\": [{\"content\": \"keep\", \"metadata\": {}}]},\n        index_name=\"idx\",\n        source=\"/a.txt\",\n    )\n\n    assert result[\"chunks_stored\"] == 0\n    assert \"cancelled\" in result[\"es_result\"][\"message\"].lower()\n    assert fake_service.calls == 1\n    # No state updates should occur because we returned early\n    assert self.states == []\n\n\ndef test_forward_redis_client_from_url_failure(monkeypatch):\n    tasks, _ = import_tasks_with_fake_ray(monkeypatch)\n    monkeypatch.setattr(tasks, \"ELASTICSEARCH_SERVICE\", \"http://api\")\n    monkeypatch.setattr(tasks, \"REDIS_BACKEND_URL\", \"redis://bad\")\n\n    class FakeRedis:\n        @staticmethod\n        def from_url(url, decode_responses=True):\n            raise RuntimeError(\"cannot connect\")\n\n    fake_redis_mod = types.SimpleNamespace(Redis=FakeRedis)\n    monkeypatch.setitem(sys.modules, \"redis\", fake_redis_mod)\n\n    self = FakeSelf(\"r4\")\n    with pytest.raises(Exception) as ei:\n        tasks.forward(self, processed_data={\n                      \"redis_key\": \"dp:rid:x\"}, index_name=\"idx\", source=\"/a.txt\")\n    json.loads(str(ei.value))\n\n\ndef test_forward_skips_empty_chunk_without_preprocess(monkeypatch):\n    tasks, _ = import_tasks_with_fake_ray(monkeypatch)\n    monkeypatch.setattr(tasks, \"ELASTICSEARCH_SERVICE\", \"http://api\")\n    monkeypatch.setattr(tasks, \"get_file_size\", lambda *a, **k: 0)\n    # Ensure API success without calling real aiohttp\n    monkeypatch.setattr(tasks, \"run_async\", lambda coro: {\n                        \"success\": True, \"total_indexed\": 1, \"total_submitted\": 1, \"message\": \"ok\"})\n\n    self = FakeSelf(\"f9\")\n    # Use tuple to bypass preprocess filtering (preprocess only filters list)\n    chunks_tuple = (\n        # will be skipped in forward at 446-449\n        {\"content\": \"   \", \"metadata\": {}},\n        {\"content\": \"keep\", \"metadata\": {}},  # will be indexed\n    )\n    result = tasks.forward(self, processed_data={\n                           \"chunks\": chunks_tuple}, index_name=\"idx\", source=\"/a.txt\")\n    assert result[\"chunks_stored\"] == 2 or result[\"chunks_stored\"] == 1\n    # We asserted path executed; exact stored count depends on implementation but should not error\n\n\ndef test_forward_vectorize_documents_client_connector_error(monkeypatch):\n    tasks, _ = import_tasks_with_fake_ray(monkeypatch)\n    monkeypatch.setattr(tasks, \"ELASTICSEARCH_SERVICE\", \"http://api\")\n    # Speed up retries\n\n    async def no_sleep(_):\n        return None\n    monkeypatch.setattr(tasks.asyncio, \"sleep\", no_sleep)\n\n    # Stub aiohttp to raise ClientConnectorError\n    class ClientConnectorError(Exception):\n        pass\n\n    class TCPConnector:\n        def __init__(self, verify_ssl=False):\n            pass\n\n    class ClientTimeout:\n        def __init__(self, total=None):\n            pass\n\n    class Session:\n        async def __aenter__(self):\n            return self\n\n        async def __aexit__(self, *a):\n            return False\n\n        def post(self, *a, **k):\n            raise ClientConnectorError(\"down\")\n\n    # Provide both error types because tasks.forward references both in except\n    class DummyClientResponseError(Exception):\n        def __init__(self, status=None):\n            self.status = status\n\n    fake_aiohttp = types.SimpleNamespace(\n        ClientConnectorError=ClientConnectorError,\n        ClientResponseError=DummyClientResponseError,\n        TCPConnector=TCPConnector,\n        ClientTimeout=ClientTimeout,\n        ClientSession=Session,\n    )\n    monkeypatch.setitem(sys.modules, \"aiohttp\", fake_aiohttp)\n    # Ensure tasks module uses the stubbed aiohttp with ClientConnectorError\n    monkeypatch.setattr(tasks, \"aiohttp\", fake_aiohttp, raising=False)\n\n    self = FakeSelf(\"e_conn\")\n    with pytest.raises(Exception) as ei:\n        tasks.forward(self, processed_data={\"chunks\": [\n                      {\"content\": \"x\", \"metadata\": {}}]}, index_name=\"idx\", source=\"/a.txt\")\n    json.loads(str(ei.value))\n\n\ndef test_forward_vectorize_documents_client_response_503(monkeypatch):\n    tasks, _ = import_tasks_with_fake_ray(monkeypatch)\n    monkeypatch.setattr(tasks, \"ELASTICSEARCH_SERVICE\", \"http://api\")\n\n    async def no_sleep(_):\n        return None\n    monkeypatch.setattr(tasks.asyncio, \"sleep\", no_sleep)\n\n    class ClientResponseError(Exception):\n        def __init__(self, status):\n            self.status = status\n\n    class TCPConnector:\n        def __init__(self, verify_ssl=False):\n            pass\n\n    class ClientTimeout:\n        def __init__(self, total=None):\n            pass\n\n    class PostCtx:\n        async def __aenter__(self):\n            return self\n\n        async def __aexit__(self, *a):\n            return False\n\n    class Session:\n        async def __aenter__(self):\n            return self\n\n        async def __aexit__(self, *a):\n            return False\n\n        def post(self, *a, **k):\n            # Raise before context manager is created to trigger except block\n            raise ClientResponseError(503)\n\n    # Provide both error types because tasks.forward references both in except\n    class DummyClientConnectorError(Exception):\n        pass\n\n    fake_aiohttp = types.SimpleNamespace(\n        ClientResponseError=ClientResponseError,\n        ClientConnectorError=DummyClientConnectorError,\n        TCPConnector=TCPConnector,\n        ClientTimeout=ClientTimeout,\n        ClientSession=Session,\n    )\n    monkeypatch.setitem(sys.modules, \"aiohttp\", fake_aiohttp)\n    # Ensure tasks module uses the stubbed aiohttp with ClientResponseError\n    monkeypatch.setattr(tasks, \"aiohttp\", fake_aiohttp, raising=False)\n\n    self = FakeSelf(\"e_503\")\n    with pytest.raises(Exception) as ei:\n        tasks.forward(self, processed_data={\"chunks\": [\n                      {\"content\": \"x\", \"metadata\": {}}]}, index_name=\"idx\", source=\"/a.txt\")\n    json.loads(str(ei.value))\n\n\ndef test_forward_api_returns_error_and_unexpected_format(monkeypatch):\n    tasks, _ = import_tasks_with_fake_ray(monkeypatch)\n    monkeypatch.setattr(tasks, \"ELASTICSEARCH_SERVICE\", \"http://api\")\n    monkeypatch.setattr(tasks, \"get_file_size\", lambda *a, **k: 0)\n\n    self = FakeSelf(\"api_err\")\n    # success False branch\n    monkeypatch.setattr(tasks, \"run_async\", lambda coro: {\n                        \"success\": False, \"message\": \"bad\"})\n    with pytest.raises(Exception) as ei1:\n        tasks.forward(self, processed_data={\"chunks\": [\n                      {\"content\": \"x\", \"metadata\": {}}]}, index_name=\"idx\", source=\"/a.txt\")\n    json.loads(str(ei1.value))\n\n    # unexpected format branch\n    monkeypatch.setattr(tasks, \"run_async\", lambda coro: [1, 2, 3])\n    with pytest.raises(Exception) as ei2:\n        tasks.forward(self, processed_data={\"chunks\": [\n                      {\"content\": \"x\", \"metadata\": {}}]}, index_name=\"idx\", source=\"/a.txt\")\n    json.loads(str(ei2.value))\n\n\ndef test_forward_vectorize_documents_timeout_error(monkeypatch):\n    tasks, _ = import_tasks_with_fake_ray(monkeypatch)\n    monkeypatch.setattr(tasks, \"ELASTICSEARCH_SERVICE\", \"http://api\")\n\n    async def no_sleep(_):\n        return None\n    monkeypatch.setattr(tasks.asyncio, \"sleep\", no_sleep)\n\n    class TimeoutError(Exception):\n        pass\n\n    class TCPConnector:\n        def __init__(self, verify_ssl=False):\n            pass\n\n    class ClientTimeout:\n        def __init__(self, total=None):\n            pass\n\n    class Session:\n        async def __aenter__(self):\n            return self\n\n        async def __aexit__(self, *a):\n            return False\n\n        def post(self, *a, **k):\n            # Simulate timeout on post\n            raise TimeoutError(\"timeout\")\n\n    # Inject stub aiohttp with TimeoutError type mapped to asyncio.TimeoutError in code path\n    class DummyClientResponseError(Exception):\n        def __init__(self, status=None):\n            self.status = status\n\n    class DummyClientConnectorError(Exception):\n        pass\n\n    fake_aiohttp = types.SimpleNamespace(\n        ClientResponseError=DummyClientResponseError,\n        ClientConnectorError=DummyClientConnectorError,\n        TCPConnector=TCPConnector,\n        ClientTimeout=ClientTimeout,\n        ClientSession=Session,\n    )\n    monkeypatch.setitem(sys.modules, \"aiohttp\", fake_aiohttp)\n    # Ensure tasks module uses the stubbed aiohttp for timeout path\n    monkeypatch.setattr(tasks, \"aiohttp\", fake_aiohttp, raising=False)\n    # Ensure our TimeoutError is seen as asyncio.TimeoutError in except\n    monkeypatch.setattr(tasks.asyncio, \"TimeoutError\", TimeoutError)\n\n    self = FakeSelf(\"e_timeout\")\n    with pytest.raises(Exception) as ei:\n        tasks.forward(self, processed_data={\"chunks\": [\n                      {\"content\": \"x\", \"metadata\": {}}]}, index_name=\"idx\", source=\"/a.txt\")\n    json.loads(str(ei.value))\n\n\ndef test_forward_vectorize_documents_unexpected_error(monkeypatch):\n    tasks, _ = import_tasks_with_fake_ray(monkeypatch)\n    monkeypatch.setattr(tasks, \"ELASTICSEARCH_SERVICE\", \"http://api\")\n\n    async def no_sleep(_):\n        return None\n    monkeypatch.setattr(tasks.asyncio, \"sleep\", no_sleep)\n\n    class TCPConnector:\n        def __init__(self, verify_ssl=False):\n            pass\n\n    class ClientTimeout:\n        def __init__(self, total=None):\n            pass\n\n    class Session:\n        async def __aenter__(self):\n            return self\n\n        async def __aexit__(self, *a):\n            return False\n\n        def post(self, *a, **k):\n            # Simulate a generic unexpected error\n            raise RuntimeError(\"boom\")\n\n    class DummyClientResponseError(Exception):\n        def __init__(self, status=None):\n            self.status = status\n\n    class DummyClientConnectorError(Exception):\n        pass\n\n    fake_aiohttp = types.SimpleNamespace(\n        ClientResponseError=DummyClientResponseError,\n        ClientConnectorError=DummyClientConnectorError,\n        TCPConnector=TCPConnector,\n        ClientTimeout=ClientTimeout,\n        ClientSession=Session,\n    )\n    monkeypatch.setitem(sys.modules, \"aiohttp\", fake_aiohttp)\n    # Ensure tasks module uses the stubbed aiohttp for unexpected error path\n    monkeypatch.setattr(tasks, \"aiohttp\", fake_aiohttp, raising=False)\n\n    self = FakeSelf(\"e_unexpected\")\n    with pytest.raises(Exception) as ei:\n        tasks.forward(self, processed_data={\"chunks\": [\n                      {\"content\": \"x\", \"metadata\": {}}]}, index_name=\"idx\", source=\"/a.txt\")\n    json.loads(str(ei.value))\n\n\ndef test_process_and_forward_returns_empty_when_apply_async_none(monkeypatch):\n    tasks, _ = import_tasks_with_fake_ray(monkeypatch)\n\n    class FakeChain:\n        def apply_async(self):\n            return None\n\n    monkeypatch.setattr(tasks, \"chain\", lambda *a, **k: FakeChain())\n    # Ensure process and forward are accessible from the tasks module for process_and_forward\n    # The function looks up process and forward from the module at runtime\n    import backend.data_process.tasks as tasks_module\n    # Process and forward should already be shimmed in import_tasks_with_fake_ray\n    # But we need to ensure they're accessible in the module namespace\n    tasks_module.process = tasks.process\n    tasks_module.forward = tasks.forward\n    self = FakeSelf(\"chain_none\")\n    out = tasks.process_and_forward(\n        self, source=\"/a.txt\", source_type=\"local\", chunking_strategy=\"basic\", index_name=\"idx\")\n    assert out == \"\"\n\ndef test_process_unsupported_source_type(monkeypatch):\n    tasks, _ = import_tasks_with_fake_ray(monkeypatch, initialized=True)\n    self = FakeSelf(\"e2\")\n    with pytest.raises(Exception) as ei:\n        tasks.process(self, source=\"x\", source_type=\"unknown\")\n    json.loads(str(ei.value))\n\n\ndef test_forward_with_chunks_success(monkeypatch):\n    tasks, _ = import_tasks_with_fake_ray(monkeypatch)\n    # Ensure ES URL present\n    monkeypatch.setattr(tasks, \"ELASTICSEARCH_SERVICE\", \"http://api\")\n    # Avoid calling real util\n    monkeypatch.setattr(tasks, \"get_file_size\", lambda *a, **k: 123)\n\n    # run_async should return a successful response matching formatted chunk count (1)\n    monkeypatch.setattr(tasks, \"run_async\", lambda coro: {\"success\": True, \"total_indexed\": 1, \"total_submitted\": 1, \"message\": \"ok\"})\n\n    self = FakeSelf(\"f1\")\n    chunks = [\n        {\"content\": \"text\", \"metadata\": {\"creation_date\": \"2024-01-01\"}},\n        {\"content\": \"\", \"metadata\": {}},\n    ]\n    result = tasks.forward(self, processed_data={\"chunks\": chunks}, index_name=\"idx\", source=\"/a.txt\", source_type=\"local\", original_filename=\"a.txt\")\n    assert result[\"chunks_stored\"] == 1\n\n\ndef test_forward_partial_success_raises(monkeypatch):\n    tasks, _ = import_tasks_with_fake_ray(monkeypatch)\n    monkeypatch.setattr(tasks, \"ELASTICSEARCH_SERVICE\", \"http://api\")\n    monkeypatch.setattr(tasks, \"get_file_size\", lambda *a, **k: 0)\n    monkeypatch.setattr(tasks, \"run_async\", lambda coro: {\"success\": True, \"total_indexed\": 0, \"total_submitted\": 1, \"message\": \"partial\"})\n    self = FakeSelf(\"f2\")\n    with pytest.raises(Exception) as ei:\n        tasks.forward(self, processed_data={\"chunks\": [{\"content\": \"x\", \"metadata\": {}}]}, index_name=\"idx\", source=\"/a.txt\", source_type=\"local\")\n    json.loads(str(ei.value))\n\n\ndef test_forward_no_chunks_and_no_redis_key_raises(monkeypatch):\n    tasks, _ = import_tasks_with_fake_ray(monkeypatch)\n    self = FakeSelf(\"f3\")\n    with pytest.raises(Exception) as ei:\n        tasks.forward(self, processed_data={}, index_name=\"idx\", source=\"/a.txt\")\n    json.loads(str(ei.value))\n\n\ndef test_forward_formats_to_empty_then_raises(monkeypatch):\n    tasks, _ = import_tasks_with_fake_ray(monkeypatch)\n    self = FakeSelf(\"f4\")\n    with pytest.raises(Exception) as ei:\n        tasks.forward(self, processed_data={\"chunks\": [{\"content\": \"  \", \"metadata\": {}}]}, index_name=\"idx\", source=\"/a.txt\")\n    json.loads(str(ei.value))\n\n\ndef test_forward_missing_es_env_raises(monkeypatch):\n    tasks, _ = import_tasks_with_fake_ray(monkeypatch)\n    monkeypatch.setattr(tasks, \"ELASTICSEARCH_SERVICE\", \"\")\n    monkeypatch.setattr(tasks, \"get_file_size\", lambda *a, **k: 0)\n    self = FakeSelf(\"f5\")\n    with pytest.raises(Exception) as ei:\n        tasks.forward(self, processed_data={\"chunks\": [{\"content\": \"x\", \"metadata\": {}}]}, index_name=\"idx\", source=\"/a.txt\")\n    json.loads(str(ei.value))\n\n\ndef test_forward_loads_chunks_from_redis(monkeypatch):\n    tasks, _ = import_tasks_with_fake_ray(monkeypatch)\n    monkeypatch.setattr(tasks, \"ELASTICSEARCH_SERVICE\", \"http://api\")\n    monkeypatch.setattr(tasks, \"REDIS_BACKEND_URL\", \"redis://test\")\n    monkeypatch.setattr(tasks, \"get_file_size\", lambda *a, **k: 1)\n\n    class FakeRedisClient:\n        def __init__(self):\n            self.kv = {\"dp:rid:chunks\": json.dumps([{\"content\": \"x\", \"metadata\": {}}])}\n        def get(self, k):\n            return self.kv.get(k)\n\n    fake_redis_mod = types.SimpleNamespace(Redis=types.SimpleNamespace(from_url=lambda url, decode_responses=True: FakeRedisClient()))\n    monkeypatch.setitem(sys.modules, \"redis\", fake_redis_mod)\n\n    # run_async returns success for 1 chunk\n    monkeypatch.setattr(tasks, \"run_async\", lambda coro: {\"success\": True, \"total_indexed\": 1, \"total_submitted\": 1, \"message\": \"ok\"})\n\n    self = FakeSelf(\"f6\")\n    result = tasks.forward(self, processed_data={\"redis_key\": \"dp:rid:chunks\"}, index_name=\"idx\", source=\"/a.txt\")\n    assert result[\"chunks_stored\"] == 1\n\n\ndef test_process_and_forward_returns_chain_id(monkeypatch):\n    tasks, _ = import_tasks_with_fake_ray(monkeypatch)\n\n    class FakeResult:\n        def __init__(self, id):\n            self.id = id\n\n    class FakeChain:\n        def apply_async(self):\n            return FakeResult(\"123\")\n\n    monkeypatch.setattr(tasks, \"chain\", lambda *a, **k: FakeChain())\n    self = FakeSelf(\"c1\")\n    chain_id = tasks.process_and_forward(self, source=\"/a.txt\", source_type=\"local\", chunking_strategy=\"basic\", index_name=\"idx\")\n    assert chain_id == \"123\"\n\n\ndef test_extract_error_code_parses_detail_and_regex_and_unknown():\n    from backend.data_process.tasks import extract_error_code\n\n    # detail error_code inside JSON string\n    json_detail = json.dumps({\"detail\": {\"error_code\": \"detail_code\"}})\n    assert extract_error_code(json_detail) == \"detail_code\"\n\n    # regex fallback when not valid JSON\n    raw = 'oops {\"error_code\":\"regex_code\"}'\n    assert extract_error_code(raw) == \"regex_code\"\n\n    # unknown path\n    assert extract_error_code(\"no code here\") == \"unknown_error\"\n\n\ndef test_extract_error_code_top_level_key():\n    from backend.data_process.tasks import extract_error_code\n\n    payload = json.dumps({\"error_code\": \"top_level\"})\n    assert extract_error_code(payload) == \"top_level\"\n\n\ndef test_save_error_to_redis_branches(monkeypatch):\n    from backend.data_process.tasks import save_error_to_redis\n\n    warnings = []\n    infos = []\n\n    class FakeRedisSvc:\n        def __init__(self, return_val=True):\n            self.return_val = return_val\n            self.calls = []\n\n        def save_error_info(self, tid, reason):\n            self.calls.append((tid, reason))\n            return self.return_val\n\n    # capture logger calls\n    monkeypatch.setattr(\n        \"backend.data_process.tasks.logger.warning\",\n        lambda msg: warnings.append(msg),\n    )\n    monkeypatch.setattr(\n        \"backend.data_process.tasks.logger.info\", lambda msg: infos.append(msg)\n    )\n    monkeypatch.setattr(\n        \"backend.data_process.tasks.logger.error\", lambda *a, **k: warnings.append(a[0])\n    )\n\n    # empty task_id\n    save_error_to_redis(\"\", \"r\", 0)\n    assert any(\"task_id is empty\" in w for w in warnings)\n    warnings.clear()\n\n    # empty error_reason\n    save_error_to_redis(\"tid\", \"\", 0)\n    assert any(\"error_reason is empty\" in w for w in warnings)\n    warnings.clear()\n\n    # success True\n    svc_true = FakeRedisSvc(True)\n    monkeypatch.setattr(\n        \"backend.data_process.tasks.get_redis_service\", lambda: svc_true\n    )\n    save_error_to_redis(\"tid1\", \"reason1\", 0)\n    assert svc_true.calls == [(\"tid1\", \"reason1\")]\n    assert any(\"Successfully saved error info\" in i for i in infos)\n\n    # success False\n    infos.clear()\n    svc_false = FakeRedisSvc(False)\n    monkeypatch.setattr(\n        \"backend.data_process.tasks.get_redis_service\", lambda: svc_false\n    )\n    save_error_to_redis(\"tid2\", \"reason2\", 0)\n    assert svc_false.calls == [(\"tid2\", \"reason2\")]\n    assert any(\"save_error_info returned False\" in w for w in warnings)\n\n    # exception path\n    def boom():\n        raise RuntimeError(\"fail\")\n\n    monkeypatch.setattr(\n        \"backend.data_process.tasks.get_redis_service\", lambda: boom()\n    )\n    save_error_to_redis(\"tid3\", \"reason3\", 0)\n    assert any(\"Failed to save error info to Redis\" in w for w in warnings)\n\n\ndef test_process_error_fallback_when_save_error_raises(monkeypatch, tmp_path):\n    tasks, fake_ray = import_tasks_with_fake_ray(monkeypatch, initialized=True)\n\n    # Force get_ray_actor to raise to enter error handling\n    monkeypatch.setattr(tasks, \"get_ray_actor\", lambda: (_ for _ in ()).throw(\n        Exception(\"x\" * 250)\n    ))\n\n    # Make save_error_to_redis raise to hit fallback block\n    monkeypatch.setattr(\n        tasks,\n        \"save_error_to_redis\",\n        lambda *a, **k: (_ for _ in ()).throw(RuntimeError(\"save-fail\")),\n    )\n\n    self = FakeSelf(\"err-fallback\")\n    with pytest.raises(Exception):\n        tasks.process(\n            self,\n            source=str(tmp_path / \"missing.txt\"),\n            source_type=\"local\",\n            chunking_strategy=\"basic\",\n            index_name=\"idx\",\n            original_filename=\"file.txt\",\n        )\n\n    # State should still be updated in fallback branch\n    assert any(\n        s.get(\"meta\", {}).get(\"stage\") in {\"text_extraction_failed\", \"extracting_text\"}\n        for s in self.states\n    ) or self.states == []\n\n\ndef test_process_error_truncates_reason_when_no_error_code(monkeypatch, tmp_path):\n    \"\"\"process should truncate long messages when extract_error_code is falsy\"\"\"\n    tasks, fake_ray = import_tasks_with_fake_ray(monkeypatch, initialized=True)\n\n    long_msg = \"x\" * 250\n    error_json = json.dumps({\"message\": long_msg})\n\n    # Provide actor but make ray.get raise inside the try block\n    class FakeActor:\n        def __init__(self):\n            self.process_file = types.SimpleNamespace(remote=lambda *a, **k: \"ref_err\")\n            self.store_chunks_in_redis = types.SimpleNamespace(\n                remote=lambda *a, **k: None)\n\n    monkeypatch.setattr(tasks, \"get_ray_actor\", lambda: FakeActor())\n    fake_ray.get = lambda *_: (_ for _ in ()).throw(Exception(error_json))\n    # Force extract_error_code to return None so truncation path executes\n    monkeypatch.setattr(tasks, \"extract_error_code\", lambda *a, **k: None)\n\n    calls: list[str] = []\n\n    def save_and_capture(task_id, reason, start_time):\n        calls.append(reason)\n\n    monkeypatch.setattr(tasks, \"save_error_to_redis\", save_and_capture)\n\n    # Ensure source file exists so FileNotFound is not raised before ray.get\n    f = tmp_path / \"exists.txt\"\n    f.write_text(\"data\")\n\n    self = FakeSelf(\"trunc-proc\")\n    with pytest.raises(Exception):\n        tasks.process(\n            self,\n            source=str(f),\n            source_type=\"local\",\n            chunking_strategy=\"basic\",\n            index_name=\"idx\",\n            original_filename=\"f.txt\",\n        )\n\n    # Captured reason should be truncated because error_code is falsy\n    assert len(calls) >= 1\n    truncated_reason = calls[-1]\n    assert truncated_reason.endswith(\"...\")\n    assert len(truncated_reason) <= 203\n    assert any(\n        s.get(\"meta\", {}).get(\"stage\") == \"text_extraction_failed\"\n        for s in self.states\n    )\n\n\ndef test_forward_cancel_check_warning_then_continue(monkeypatch):\n    tasks, _ = import_tasks_with_fake_ray(monkeypatch)\n    monkeypatch.setattr(tasks, \"ELASTICSEARCH_SERVICE\", \"http://api\")\n\n    # make cancellation check raise to hit warning path\n    monkeypatch.setattr(tasks, \"get_redis_service\", lambda: (_ for _ in ()).throw(RuntimeError(\"boom\")))\n\n    # run index_documents normally via stubbed run_async returning success\n    monkeypatch.setattr(\n        tasks,\n        \"run_async\",\n        lambda coro: {\"success\": True, \"total_indexed\": 1, \"total_submitted\": 1, \"message\": \"ok\"},\n    )\n\n    self = FakeSelf(\"warn-cancel\")\n    result = tasks.forward(\n        self,\n        processed_data={\"chunks\": [{\"content\": \"c\", \"metadata\": {}}]},\n        index_name=\"idx\",\n        source=\"/a.txt\",\n        authorization=\"Bearer 1\",\n    )\n    assert result[\"chunks_stored\"] == 1\n\n\ndef _run_coro(coro):\n    try:\n        loop = asyncio.get_event_loop()\n    except RuntimeError:\n        loop = asyncio.new_event_loop()\n        asyncio.set_event_loop(loop)\n    return loop.run_until_complete(coro)\n\n\ndef test_forward_index_documents_error_code_from_detail(monkeypatch):\n    tasks, _ = import_tasks_with_fake_ray(monkeypatch)\n    monkeypatch.setattr(tasks, \"ELASTICSEARCH_SERVICE\", \"http://api\")\n\n    class FakeResponse:\n        status = 500\n\n        async def text(self):\n            return json.dumps({\"detail\": {\"error_code\": \"detail_err\"}})\n\n        async def __aenter__(self):\n            return self\n\n        async def __aexit__(self, *a):\n            return False\n\n    class FakeSession:\n        def __init__(self, *a, **k):\n            pass\n\n        async def __aenter__(self):\n            return self\n\n        async def __aexit__(self, *a):\n            return False\n\n        def post(self, *a, **k):\n            return FakeResponse()\n\n    fake_aiohttp = types.SimpleNamespace(\n        TCPConnector=lambda verify_ssl=False: None,\n        ClientTimeout=lambda total=None: None,\n        ClientSession=FakeSession,\n        ClientConnectorError=Exception,\n        ClientResponseError=Exception,\n    )\n    monkeypatch.setattr(tasks, \"aiohttp\", fake_aiohttp)\n    monkeypatch.setattr(tasks, \"run_async\", _run_coro)\n\n    self = FakeSelf(\"detail-err\")\n    with pytest.raises(Exception) as exc:\n        tasks.forward(\n            self,\n            processed_data={\"chunks\": [{\"content\": \"x\", \"metadata\": {}}]},\n            index_name=\"idx\",\n            source=\"/a.txt\",\n            authorization=\"Bearer token\",\n        )\n    assert \"detail_err\" in str(exc.value)\n\n\ndef test_forward_index_documents_regex_error_code(monkeypatch):\n    tasks, _ = import_tasks_with_fake_ray(monkeypatch)\n    monkeypatch.setattr(tasks, \"ELASTICSEARCH_SERVICE\", \"http://api\")\n    monkeypatch.setattr(tasks, \"get_file_size\", lambda *a, **k: 0)\n\n    class FakeResponse:\n        status = 500\n\n        async def text(self):\n            # Include quotes so regex r'\\\"error_code\\\": \\\"...\\\"' matches\n            return 'oops \"error_code\":\"regex_branch\"'\n\n        async def __aenter__(self):\n            return self\n\n        async def __aexit__(self, *a):\n            return False\n\n    class FakeSession:\n        def __init__(self, *a, **k):\n            pass\n\n        async def __aenter__(self):\n            return self\n\n        async def __aexit__(self, *a):\n            return False\n\n        def post(self, *a, **k):\n            return FakeResponse()\n\n    fake_aiohttp = types.SimpleNamespace(\n        TCPConnector=lambda verify_ssl=False: None,\n        ClientTimeout=lambda total=None: None,\n        ClientSession=FakeSession,\n        ClientConnectorError=Exception,\n        ClientResponseError=Exception,\n    )\n    monkeypatch.setattr(tasks, \"aiohttp\", fake_aiohttp)\n    monkeypatch.setattr(tasks, \"run_async\", _run_coro)\n\n    self = FakeSelf(\"regex-err\")\n    with pytest.raises(Exception) as exc:\n        tasks.forward(\n            self,\n            processed_data={\"chunks\": [{\"content\": \"x\", \"metadata\": {}}]},\n            index_name=\"idx\",\n            source=\"/a.txt\",\n        )\n    assert \"regex_branch\" in str(exc.value)\n\n\ndef test_forward_index_documents_client_connector_error(monkeypatch):\n    tasks, _ = import_tasks_with_fake_ray(monkeypatch)\n    monkeypatch.setattr(tasks, \"ELASTICSEARCH_SERVICE\", \"http://api\")\n\n    class FakeSession:\n        def __init__(self, *a, **k):\n            pass\n\n        async def __aenter__(self):\n            return self\n\n        async def __aexit__(self, *a):\n            return False\n\n        def post(self, *a, **k):\n            raise tasks.aiohttp.ClientConnectorError(\"down\")\n\n    fake_aiohttp = types.SimpleNamespace(\n        ClientConnectorError=Exception,\n        TCPConnector=lambda verify_ssl=False: None,\n        ClientTimeout=lambda total=None: None,\n        ClientSession=FakeSession,\n        ClientResponseError=Exception,\n    )\n    monkeypatch.setattr(tasks, \"aiohttp\", fake_aiohttp)\n    monkeypatch.setattr(tasks, \"run_async\", _run_coro)\n\n    self = FakeSelf(\"conn-err\")\n    with pytest.raises(Exception) as exc:\n        tasks.forward(\n            self,\n            processed_data={\"chunks\": [{\"content\": \"x\", \"metadata\": {}}]},\n            index_name=\"idx\",\n            source=\"/a.txt\",\n        )\n    assert \"Failed to connect to API\" in str(exc.value)\n\n\ndef test_forward_index_documents_timeout(monkeypatch):\n    tasks, _ = import_tasks_with_fake_ray(monkeypatch)\n    monkeypatch.setattr(tasks, \"ELASTICSEARCH_SERVICE\", \"http://api\")\n\n    class FakeSession:\n        def __init__(self, *a, **k):\n            pass\n\n        async def __aenter__(self):\n            return self\n\n        async def __aexit__(self, *a):\n            return False\n\n        def post(self, *a, **k):\n            raise asyncio.TimeoutError(\"t/o\")\n\n    fake_aiohttp = types.SimpleNamespace(\n        ClientConnectorError=Exception,\n        ClientResponseError=Exception,\n        TCPConnector=lambda verify_ssl=False: None,\n        ClientTimeout=lambda total=None: None,\n        ClientSession=FakeSession,\n    )\n    monkeypatch.setattr(tasks, \"aiohttp\", fake_aiohttp)\n    monkeypatch.setattr(tasks, \"run_async\", _run_coro)\n\n    self = FakeSelf(\"timeout-err\")\n    with pytest.raises(Exception) as exc:\n        tasks.forward(\n            self,\n            processed_data={\"chunks\": [{\"content\": \"x\", \"metadata\": {}}]},\n            index_name=\"idx\",\n            source=\"/a.txt\",\n        )\n    assert \"Failed to connect to API\" in str(exc.value) or \"timeout\" in str(exc.value).lower()\n\n\ndef test_forward_truncates_reason_when_no_error_code(monkeypatch):\n    tasks, _ = import_tasks_with_fake_ray(monkeypatch)\n    monkeypatch.setattr(tasks, \"ELASTICSEARCH_SERVICE\", \"http://api\")\n    monkeypatch.setattr(tasks, \"get_file_size\", lambda *a, **k: 0)\n    monkeypatch.setattr(tasks, \"extract_error_code\", lambda *a, **k: None)\n\n    long_msg = json.dumps({\"message\": \"m\" * 250})\n    monkeypatch.setattr(\n        tasks, \"run_async\", lambda coro: (_ for _ in ()).throw(Exception(long_msg))\n    )\n\n    reasons: list[str] = []\n    monkeypatch.setattr(\n        tasks, \"save_error_to_redis\", lambda tid, reason, st: reasons.append(reason)\n    )\n\n    self = FakeSelf(\"f-trunc\")\n    with pytest.raises(Exception):\n        tasks.forward(\n            self,\n            processed_data={\"chunks\": [{\"content\": \"x\", \"metadata\": {}}]},\n            index_name=\"idx\",\n            source=\"/a.txt\",\n        )\n\n    assert reasons and reasons[0].endswith(\"...\")\n    assert len(reasons[0]) <= 203\n    assert any(\n        s.get(\"meta\", {}).get(\"stage\") == \"forward_task_failed\" for s in self.states\n    )\n\n\ndef test_forward_fallback_truncates_on_non_json_error(monkeypatch):\n    tasks, _ = import_tasks_with_fake_ray(monkeypatch)\n    monkeypatch.setattr(tasks, \"ELASTICSEARCH_SERVICE\", \"http://api\")\n    monkeypatch.setattr(tasks, \"get_file_size\", lambda *a, **k: 0)\n    monkeypatch.setattr(tasks, \"extract_error_code\", lambda *a, **k: None)\n\n    monkeypatch.setattr(\n        tasks, \"run_async\", lambda coro: (_ for _ in ()).throw(Exception(\"n\" * 250))\n    )\n\n    reasons: list[str] = []\n    monkeypatch.setattr(\n        tasks, \"save_error_to_redis\", lambda tid, reason, st: reasons.append(reason)\n    )\n\n    self = FakeSelf(\"f-fallback\")\n    with pytest.raises(Exception):\n        tasks.forward(\n            self,\n            processed_data={\"chunks\": [{\"content\": \"x\", \"metadata\": {}}]},\n            index_name=\"idx\",\n            source=\"/a.txt\",\n        )\n\n    assert reasons and reasons[0].endswith(\"...\")\n    assert len(reasons[0]) <= 203\n    assert any(\n        s.get(\"meta\", {}).get(\"stage\") == \"forward_task_failed\" for s in self.states\n    )\n\n\ndef test_forward_error_truncates_reason_and_uses_save(monkeypatch):\n    tasks, _ = import_tasks_with_fake_ray(monkeypatch)\n    long_message = \"m\" * 250\n    monkeypatch.setattr(tasks, \"ELASTICSEARCH_SERVICE\", \"http://api\")\n    monkeypatch.setattr(\n        tasks, \"run_async\", lambda coro: (_ for _ in ()).throw(Exception(json.dumps({\"message\": long_message})))\n    )\n    captured = {}\n    monkeypatch.setattr(\n        tasks, \"save_error_to_redis\", lambda tid, reason, st: captured.setdefault(\"reason\", reason)\n    )\n\n    self = FakeSelf(\"trunc\")\n    with pytest.raises(Exception):\n        tasks.forward(\n            self,\n            processed_data={\"chunks\": [{\"content\": \"x\", \"metadata\": {}}]},\n            index_name=\"idx\",\n            source=\"/a.txt\",\n        )\n\n    assert captured[\"reason\"]\n\n\ndef test_forward_error_fallback_when_json_loads_fails(monkeypatch):\n    tasks, _ = import_tasks_with_fake_ray(monkeypatch)\n    monkeypatch.setattr(tasks, \"ELASTICSEARCH_SERVICE\", \"http://api\")\n    monkeypatch.setattr(\n        tasks, \"run_async\", lambda coro: (_ for _ in ()).throw(Exception(\"not-json-error\"))\n    )\n    captured = {}\n    monkeypatch.setattr(\n        tasks, \"save_error_to_redis\", lambda tid, reason, st: captured.setdefault(\"reason\", reason)\n    )\n\n    self = FakeSelf(\"fallback-forward\")\n    with pytest.raises(Exception):\n        tasks.forward(\n            self,\n            processed_data={\"chunks\": [{\"content\": \"x\", \"metadata\": {}}]},\n            index_name=\"idx\",\n            source=\"/a.txt\",\n        )\n\n    assert captured[\"reason\"]\n    assert any(\n        s.get(\"meta\", {}).get(\"stage\") == \"forward_task_failed\" for s in self.states\n    )\n\n\ndef test_process_sync_local_returns(monkeypatch):\n    tasks, fake_ray = import_tasks_with_fake_ray(monkeypatch, initialized=True)\n\n    class FakeActor:\n        def __init__(self):\n            self.process_file = types.SimpleNamespace(remote=lambda *a, **k: \"ref1\")\n\n    monkeypatch.setattr(tasks, \"get_ray_actor\", lambda: FakeActor())\n    fake_ray.get_returns = [{\"content\": \"a\"}, {\"content\": \"b\"}]\n\n    self = FakeSelf(\"s1\")\n    out = tasks.process_sync(self, source=\"/a.txt\", source_type=\"local\")\n    assert out[\"chunks_count\"] == 2\n    assert \"a\\n\\nb\" in out[\"text\"]\n\n\ndef test_process_sync_unsupported_raises_and_updates_state(monkeypatch):\n    tasks, _ = import_tasks_with_fake_ray(monkeypatch, initialized=True)\n    self = FakeSelf(\"s2\")\n    with pytest.raises(NotImplementedError):\n        tasks.process_sync(self, source=\"/a.txt\", source_type=\"minio\")\n    # check that failure meta was updated\n    assert any(\"sync_processing_failed\" in s.get(\"meta\", {}).get(\"stage\", \"\") for s in self.states)\n\n\ndef test_forward_redis_key_requires_backend_url_raises(monkeypatch):\n    tasks, _ = import_tasks_with_fake_ray(monkeypatch)\n    # Ensure ES set (not used in this branch) and REDIS url missing\n    monkeypatch.setattr(tasks, \"ELASTICSEARCH_SERVICE\", \"http://api\")\n    monkeypatch.setattr(tasks, \"REDIS_BACKEND_URL\", \"\")\n    self = FakeSelf(\"r1\")\n    with pytest.raises(Exception) as ei:\n        tasks.forward(self, processed_data={\n                      \"redis_key\": \"dp:rid:x\"}, index_name=\"idx\", source=\"/a.txt\")\n    json.loads(str(ei.value))\n\n\ndef test_forward_redis_retry_when_value_absent(monkeypatch):\n    tasks, _ = import_tasks_with_fake_ray(monkeypatch)\n    monkeypatch.setattr(tasks, \"ELASTICSEARCH_SERVICE\", \"http://api\")\n    monkeypatch.setattr(tasks, \"REDIS_BACKEND_URL\", \"redis://test\")\n\n    class FakeRedisClient:\n        def get(self, k):\n            return None\n\n    fake_redis_mod = types.SimpleNamespace(Redis=types.SimpleNamespace(\n        from_url=lambda url, decode_responses=True: FakeRedisClient()))\n    monkeypatch.setitem(sys.modules, \"redis\", fake_redis_mod)\n\n    self = FakeSelf(\"r2\")\n    with pytest.raises(tasks.Retry):\n        tasks.forward(self, processed_data={\n                      \"redis_key\": \"dp:rid:missing\"}, index_name=\"idx\", source=\"/a.txt\")\n\n\ndef test_forward_uses_overridden_metadata_from_payload(monkeypatch):\n    tasks, _ = import_tasks_with_fake_ray(monkeypatch)\n    monkeypatch.setattr(tasks, \"ELASTICSEARCH_SERVICE\", \"http://api\")\n    monkeypatch.setattr(tasks, \"get_file_size\", lambda *a, **k: 0)\n    monkeypatch.setattr(tasks, \"run_async\", lambda coro: {\n                        \"success\": True, \"total_indexed\": 1, \"total_submitted\": 1, \"message\": \"ok\"})\n\n    self = FakeSelf(\"f7\")\n    processed_data = {\n        \"chunks\": [{\"content\": \"x\", \"metadata\": {\"creation_date\": \"2024-01-01\"}}],\n        \"source\": \"/override.txt\",\n        \"index_name\": \"override_idx\",\n        \"original_filename\": \"o.txt\",\n    }\n    result = tasks.forward(self, processed_data=processed_data,\n                           index_name=\"idx\", source=\"/a.txt\")\n    assert result[\"source\"] == \"/override.txt\"\n    assert result[\"index_name\"] == \"override_idx\"\n    assert result[\"original_filename\"] == \"o.txt\"\n\n\ndef test_forward_empty_chunks_list_warns_and_raises(monkeypatch):\n    tasks, _ = import_tasks_with_fake_ray(monkeypatch)\n    self = FakeSelf(\"f8\")\n    with pytest.raises(Exception) as ei:\n        tasks.forward(self, processed_data={\n                      \"chunks\": []}, index_name=\"idx\", source=\"/a.txt\")\n    json.loads(str(ei.value))\n\n\ndef test_process_zero_file_size_speed_calculation(monkeypatch, tmp_path):\n    \"\"\"Test that processing_speed_mb_s handles zero file size correctly\"\"\"\n    tasks, fake_ray = import_tasks_with_fake_ray(monkeypatch, initialized=True)\n\n    # Prepare an empty file\n    f = tmp_path / \"empty.txt\"\n    f.write_text(\"\")\n\n    mock_chunks = [{\"content\": \"chunk\", \"metadata\": {}}]\n\n    class FakeActor:\n        def __init__(self):\n            self.process_file = types.SimpleNamespace(\n                remote=lambda *a, **k: \"ref\")\n            self.store_chunks_in_redis = types.SimpleNamespace(\n                remote=lambda *a, **k: None)\n\n    monkeypatch.setattr(tasks, \"get_ray_actor\", lambda: FakeActor())\n    fake_ray.get_returns = mock_chunks\n\n    self = FakeSelf(\"empty1\")\n\n    tasks.process(self, source=str(f), source_type=\"local\",\n                  chunking_strategy=\"basic\", index_name=\"idx\", original_filename=\"empty.txt\")\n\n    # Verify processing_speed_mb_s is 0 for zero-size file (not division by zero)\n    success_state = [s for s in self.states if s.get(\n        \"state\") == tasks.states.SUCCESS][0]\n    assert success_state.get(\"meta\", {}).get(\"processing_speed_mb_s\") == 0\n\n\ndef test_process_no_chunks_saves_error(monkeypatch, tmp_path):\n    \"\"\"process should save error info when no chunks are produced\"\"\"\n    tasks, fake_ray = import_tasks_with_fake_ray(monkeypatch, initialized=True)\n\n    class FakeActor:\n        def __init__(self):\n            self.process_file = types.SimpleNamespace(\n                remote=lambda *a, **k: \"ref-empty\")\n            self.store_chunks_in_redis = types.SimpleNamespace(\n                remote=lambda *a, **k: None)\n\n    monkeypatch.setattr(tasks, \"get_ray_actor\", lambda: FakeActor())\n    fake_ray.get_returns = []  # no chunks returned from ray.get\n\n    saved_reason = {}\n    monkeypatch.setattr(\n        tasks,\n        \"save_error_to_redis\",\n        lambda task_id, reason, start_time: saved_reason.setdefault(\n            \"reason\", reason),\n    )\n\n    f = tmp_path / \"empty_file.txt\"\n    f.write_text(\"data\")\n\n    self = FakeSelf(\"no-chunks\")\n    with pytest.raises(Exception) as exc_info:\n        tasks.process(\n            self,\n            source=str(f),\n            source_type=\"local\",\n            chunking_strategy=\"basic\",\n            index_name=\"idx\",\n            original_filename=\"empty_file.txt\",\n        )\n\n    assert '\"error_code\": \"no_valid_chunks\"' in saved_reason.get(\"reason\", \"\")\n    assert any(state.get(\"meta\", {}).get(\"stage\") ==\n               \"text_extraction_failed\" for state in self.states)\n    json.loads(str(exc_info.value))\n\n\ndef test_process_url_source_with_many_chunks(monkeypatch):\n    \"\"\"Test processing URL source that generates many chunks\"\"\"\n    tasks, fake_ray = import_tasks_with_fake_ray(monkeypatch, initialized=True)\n\n    # Mock 120 chunks to simulate URL processing\n    mock_chunks = [{\"content\": f\"url_chunk_{i}\", \"metadata\": {}}\n                   for i in range(120)]\n\n    class FakeActor:\n        def __init__(self):\n            self.process_file = types.SimpleNamespace(\n                remote=lambda *a, **k: \"ref_url\")\n            self.store_chunks_in_redis = types.SimpleNamespace(\n                remote=lambda *a, **k: None)\n\n    monkeypatch.setattr(tasks, \"get_ray_actor\", lambda: FakeActor())\n    fake_ray.get_returns = mock_chunks\n\n    self = FakeSelf(\"url1\")\n\n    result = tasks.process(self, source=\"http://example.com/doc.pdf\",\n                           source_type=\"minio\", chunking_strategy=\"basic\", index_name=\"idx\")\n\n    # Verify chunks_count for URL source\n    success_state = [s for s in self.states if s.get(\n        \"state\") == tasks.states.SUCCESS][0]\n    assert success_state.get(\"meta\", {}).get(\"chunks_count\") == 120\n    assert result[\"redis_key\"].startswith(\"dp:url1:chunks\")\n\n\ndef test_forward_large_chunks_batch_success(monkeypatch):\n    \"\"\"Test forwarding large batch of chunks (100+) to Elasticsearch\"\"\"\n    tasks, _ = import_tasks_with_fake_ray(monkeypatch)\n    monkeypatch.setattr(tasks, \"ELASTICSEARCH_SERVICE\", \"http://api\")\n    monkeypatch.setattr(tasks, \"get_file_size\", lambda *a, **k: 5000)\n\n    # Simulate 150 chunks (large file scenario)\n    large_chunks = [{\"content\": f\"content_{i}\",\n                     \"metadata\": {\"page\": i}} for i in range(150)]\n\n    # Mock successful indexing of all chunks\n    monkeypatch.setattr(tasks, \"run_async\", lambda coro: {\n        \"success\": True,\n        \"total_indexed\": 150,\n        \"total_submitted\": 150,\n        \"message\": \"All chunks indexed\"\n    })\n\n    self = FakeSelf(\"large_forward\")\n    result = tasks.forward(\n        self,\n        processed_data={\"chunks\": large_chunks},\n        index_name=\"idx\",\n        source=\"/large.pdf\",\n        source_type=\"local\",\n        original_filename=\"large.pdf\"\n    )\n\n    # Verify all 150 chunks were stored\n    assert result[\"chunks_stored\"] == 150\n\n    # Verify SUCCESS state was updated\n    success_state = [s for s in self.states if s.get(\n        \"state\") == tasks.states.SUCCESS][0]\n    assert success_state.get(\"meta\", {}).get(\"chunks_stored\") == 150\n"
  },
  {
    "path": "test/backend/data_process/test_worker.py",
    "content": "import sys\nimport types\nimport importlib\nimport pytest\nimport os\n\n\nclass FakeRay:\n    def __init__(self, initialized=False):\n        self._initialized = initialized\n        self.inits = []\n\n    def is_initialized(self):\n        return self._initialized\n\n    def init(self, **kwargs):\n        self._initialized = True\n        self.inits.append(kwargs)\n\n\ndef setup_mocks_for_worker(mocker, initialized=False):\n    \"\"\"Setup all necessary mocks before importing worker module\"\"\"\n    fake_ray = FakeRay(initialized=initialized)\n    \n    # Mock ray module\n    mocker.patch.dict(sys.modules, {\"ray\": fake_ray})\n    \n    # Stub consts.const module\n    if \"consts\" not in sys.modules:\n        sys.modules[\"consts\"] = types.ModuleType(\"consts\")\n        setattr(sys.modules[\"consts\"], \"__path__\", [])\n    if \"consts.const\" not in sys.modules:\n        const_mod = types.ModuleType(\"consts.const\")\n        const_mod.CELERY_TASK_TIME_LIMIT = 3600\n        const_mod.CELERY_WORKER_PREFETCH_MULTIPLIER = 1\n        const_mod.ELASTICSEARCH_SERVICE = \"http://elasticsearch:9200\"\n        const_mod.QUEUES = \"process_q,forward_q\"\n        const_mod.RAY_ADDRESS = \"auto\"\n        const_mod.RAY_preallocate_plasma = False\n        const_mod.REDIS_URL = \"redis://localhost:6379\"\n        const_mod.REDIS_BACKEND_URL = \"redis://localhost:6379\"\n        const_mod.WORKER_CONCURRENCY = 4\n        const_mod.WORKER_NAME = None\n        const_mod.FORWARD_REDIS_RETRY_DELAY_S = 0\n        const_mod.FORWARD_REDIS_RETRY_MAX = 1\n        const_mod.DISABLE_RAY_DASHBOARD = False\n        const_mod.DATA_PROCESS_SERVICE = \"http://data-process\"\n        const_mod.ROOT_DIR = \"/mock/root\"\n        sys.modules[\"consts.const\"] = const_mod\n    \n    # Stub celery module and submodules (required by tasks.py imported via __init__.py)\n    if \"celery.backends.base\" not in sys.modules:\n        backends_base_mod = types.ModuleType(\"celery.backends.base\")\n        backends_base_mod.DisabledBackend = type(\"DisabledBackend\", (), {})\n        sys.modules[\"celery.backends.base\"] = backends_base_mod\n    \n    if \"celery.exceptions\" not in sys.modules:\n        exceptions_mod = types.ModuleType(\"celery.exceptions\")\n        exceptions_mod.Retry = type(\"Retry\", (Exception,), {})\n        sys.modules[\"celery.exceptions\"] = exceptions_mod\n    \n    if \"celery.result\" not in sys.modules:\n        result_mod = types.ModuleType(\"celery.result\")\n        result_mod.AsyncResult = type(\"AsyncResult\", (), {})\n        sys.modules[\"celery.result\"] = result_mod\n    \n    if \"celery.signals\" not in sys.modules:\n        signals_mod = types.ModuleType(\"celery.signals\")\n        \n        # Create fake signal objects with connect method\n        class FakeSignal:\n            def connect(self, func):\n                return func\n        \n        signals_mod.worker_init = FakeSignal()\n        signals_mod.worker_process_init = FakeSignal()\n        signals_mod.worker_ready = FakeSignal()\n        signals_mod.worker_shutting_down = FakeSignal()\n        signals_mod.task_prerun = FakeSignal()\n        signals_mod.task_postrun = FakeSignal()\n        signals_mod.task_failure = FakeSignal()\n        \n        sys.modules[\"celery.signals\"] = signals_mod\n    \n    if \"celery\" not in sys.modules:\n        celery_mod = types.ModuleType(\"celery\")\n        # Create a Celery class that accepts any arguments and has required attributes\n        class FakeBackend:\n            pass\n        \n        class FakeCelery:\n            def __init__(self, *args, **kwargs):\n                # Set backend to a non-DisabledBackend instance\n                self.backend = FakeBackend()\n                # Create a conf object with update method\n                self.conf = types.SimpleNamespace(update=lambda **kwargs: None)\n            \n            def task(self, *args, **kwargs):\n                # Return a decorator that returns the function unchanged\n                def decorator(func):\n                    return func\n                return decorator\n        \n        # Stub classes and functions needed by tasks.py\n        celery_mod.Celery = FakeCelery\n        celery_mod.Task = type(\"Task\", (), {})\n        celery_mod.chain = lambda *args: None\n        celery_mod.states = types.SimpleNamespace(\n            PENDING=\"PENDING\",\n            STARTED=\"STARTED\",\n            SUCCESS=\"SUCCESS\",\n            FAILURE=\"FAILURE\",\n            RETRY=\"RETRY\",\n            REVOKED=\"REVOKED\"\n        )\n        sys.modules[\"celery\"] = celery_mod\n    \n    # Stub consts.model (required by utils.file_management_utils)\n    if \"consts.model\" not in sys.modules:\n        model_mod = types.ModuleType(\"consts.model\")\n        class ProcessParams:\n            def __init__(self, chunking_strategy: str, source_type: str, index_name: str, authorization: str | None):\n                self.chunking_strategy = chunking_strategy\n                self.source_type = source_type\n                self.index_name = index_name\n                self.authorization = authorization\n        model_mod.ProcessParams = ProcessParams\n        sys.modules[\"consts.model\"] = model_mod\n    \n    # Stub database modules (required by utils.file_management_utils and ray_actors)\n    if \"database\" not in sys.modules:\n        db_pkg = types.ModuleType(\"database\")\n        setattr(db_pkg, \"__path__\", [])\n        sys.modules[\"database\"] = db_pkg\n    if \"database.attachment_db\" not in sys.modules:\n        sys.modules[\"database.attachment_db\"] = types.SimpleNamespace(\n            get_file_size_from_minio=lambda object_name, bucket=None: 0,\n        )\n        setattr(sys.modules[\"database\"], \"attachment_db\", sys.modules[\"database.attachment_db\"])\n    if \"database.model_management_db\" not in sys.modules:\n        sys.modules[\"database.model_management_db\"] = types.SimpleNamespace(\n            get_model_by_model_id=lambda model_id, tenant_id=None: None\n        )\n        setattr(sys.modules[\"database\"], \"model_management_db\", sys.modules[\"database.model_management_db\"])\n    \n    # Stub utils modules (required by utils.file_management_utils)\n    if \"utils.auth_utils\" not in sys.modules:\n        sys.modules[\"utils.auth_utils\"] = types.SimpleNamespace(\n            get_current_user_id=lambda authorization: (\"user-test\", \"tenant-test\")\n        )\n    if \"utils.config_utils\" not in sys.modules:\n        cfg_mod = types.ModuleType(\"utils.config_utils\")\n        cfg_mod.tenant_config_manager = types.SimpleNamespace(\n            load_config=lambda tenant_id: {}\n        )\n        sys.modules[\"utils.config_utils\"] = cfg_mod\n    \n    # Stub external dependencies (required by utils.file_management_utils)\n    if \"aiofiles\" not in sys.modules:\n        sys.modules[\"aiofiles\"] = types.SimpleNamespace(\n            open=lambda *args, **kwargs: types.SimpleNamespace(\n                __aenter__=lambda: types.SimpleNamespace(\n                    write=lambda content: None,\n                    __aexit__=lambda *args: None\n                ),\n                __aexit__=lambda *args: None\n            )\n        )\n    if \"httpx\" not in sys.modules:\n        sys.modules[\"httpx\"] = types.SimpleNamespace()\n    if \"requests\" not in sys.modules:\n        sys.modules[\"requests\"] = types.SimpleNamespace()\n    if \"fastapi\" not in sys.modules:\n        fastapi_mod = types.ModuleType(\"fastapi\")\n        fastapi_mod.UploadFile = type(\"UploadFile\", (), {})\n        sys.modules[\"fastapi\"] = fastapi_mod\n    \n    # Stub utils.file_management_utils (required by tasks.py)\n    if \"utils.file_management_utils\" not in sys.modules:\n        file_utils_mod = types.ModuleType(\"utils.file_management_utils\")\n        file_utils_mod.get_file_size = lambda *args, **kwargs: 0\n        sys.modules[\"utils.file_management_utils\"] = file_utils_mod\n    \n    # Stub ray_actors (required by tasks.py)\n    if \"backend.data_process.ray_actors\" not in sys.modules:\n        ray_actors_mod = types.ModuleType(\"backend.data_process.ray_actors\")\n        ray_actors_mod.DataProcessorRayActor = type(\"DataProcessorRayActor\", (), {})\n        sys.modules[\"backend.data_process.ray_actors\"] = ray_actors_mod\n    \n    # Stub aiohttp (required by tasks.py)\n    if \"aiohttp\" not in sys.modules:\n        sys.modules[\"aiohttp\"] = types.SimpleNamespace()\n    \n    # Stub nexent.data_process (required by tasks.py)\n    if \"nexent.data_process\" not in sys.modules:\n        sys.modules[\"nexent.data_process\"] = types.SimpleNamespace(\n            DataProcessCore=type(\"_Core\", (), {\"__init__\": lambda self: None, \"file_process\": lambda *a, **k: []})\n        )\n    \n    # Stub app module\n    if \"backend.data_process.app\" not in sys.modules:\n        app_mod = types.ModuleType(\"backend.data_process.app\")\n        \n        class FakeApp:\n            def __init__(self):\n                self.conf = types.SimpleNamespace(\n                    broker_url=\"redis://localhost:6379/0\",\n                    result_backend=\"redis://localhost:6379/0\",\n                    task_routes={}\n                )\n            \n            def worker_main(self, args):\n                # Mock worker_main to avoid actually starting a worker\n                pass\n            \n            def task(self, *args, **kwargs):\n                # Return a decorator that returns the function unchanged\n                def decorator(func):\n                    return func\n                return decorator\n        \n        app_mod.app = FakeApp()\n        sys.modules[\"backend.data_process.app\"] = app_mod\n    \n    # Stub ray_config module\n    if \"backend.data_process.ray_config\" not in sys.modules:\n        ray_config_mod = types.ModuleType(\"backend.data_process.ray_config\")\n        \n        class FakeRayConfig:\n            @classmethod\n            def init_ray_for_worker(cls, address):\n                return True\n        \n        ray_config_mod.RayConfig = FakeRayConfig\n        sys.modules[\"backend.data_process.ray_config\"] = ray_config_mod\n    \n    # Import and reload the module after mocks are in place\n    import backend.data_process.worker as worker_module\n    importlib.reload(worker_module)\n    \n    return worker_module, fake_ray\n\n\ndef test_validate_redis_connection_success(mocker):\n    \"\"\"Test successful Redis connection validation\"\"\"\n    worker_module, _ = setup_mocks_for_worker(mocker)\n    \n    class FakeRedisClient:\n        def ping(self):\n            return True\n    \n    class FakeRedis:\n        @staticmethod\n        def from_url(url, socket_timeout=5):\n            return FakeRedisClient()\n\n    # Patch redis module used inside validate_redis_connection\n    fake_redis_module = types.SimpleNamespace(from_url=FakeRedis.from_url)\n    mocker.patch.dict(sys.modules, {\"redis\": fake_redis_module})\n    \n    result = worker_module.validate_redis_connection()\n    assert result is True\n\n\ndef test_validate_redis_connection_failure(mocker):\n    \"\"\"Test Redis connection validation failure\"\"\"\n    worker_module, _ = setup_mocks_for_worker(mocker)\n    \n    class FakeRedisClient:\n        def ping(self):\n            raise ConnectionError(\"Cannot connect to Redis\")\n    \n    class FakeRedis:\n        @staticmethod\n        def from_url(url, socket_timeout=5):\n            return FakeRedisClient()\n\n    # Patch redis module so from_url returns a client that fails on ping\n    fake_redis_module = types.SimpleNamespace(from_url=FakeRedis.from_url)\n    mocker.patch.dict(sys.modules, {\"redis\": fake_redis_module})\n    \n    with pytest.raises(ConnectionError):\n        worker_module.validate_redis_connection()\n\n\ndef test_validate_redis_connection_import_error(mocker):\n    \"\"\"Test Redis connection validation when redis module is not available\"\"\"\n    worker_module, _ = setup_mocks_for_worker(mocker)\n    \n    # Make redis import fail regardless of environment\n    real_import = __import__\n\n    def fake_import(name, *args, **kwargs):\n        if name == \"redis\":\n            raise ImportError(\"No module named 'redis'\")\n        return real_import(name, *args, **kwargs)\n\n    mocker.patch(\"builtins.__import__\", side_effect=fake_import)\n    \n    result = worker_module.validate_redis_connection()\n    assert result is False\n\n\ndef test_validate_service_connections_success(mocker):\n    \"\"\"Test successful service connections validation\"\"\"\n    worker_module, _ = setup_mocks_for_worker(mocker)\n    \n    class FakeRedisClient:\n        def ping(self):\n            return True\n    \n    class FakeRedis:\n        @staticmethod\n        def from_url(url, socket_timeout=5):\n            return FakeRedisClient()\n\n    # Patch redis module used by validate_service_connections -> validate_redis_connection\n    fake_redis_module = types.SimpleNamespace(from_url=FakeRedis.from_url)\n    mocker.patch.dict(sys.modules, {\"redis\": fake_redis_module})\n    \n    result = worker_module.validate_service_connections()\n    assert result is True\n\n\ndef test_validate_service_connections_failure(mocker):\n    \"\"\"Test service connections validation failure\"\"\"\n    worker_module, _ = setup_mocks_for_worker(mocker)\n    \n    class FakeRedisClient:\n        def ping(self):\n            raise ConnectionError(\"Cannot connect\")\n    \n    class FakeRedis:\n        @staticmethod\n        def from_url(url, socket_timeout=5):\n            return FakeRedisClient()\n\n    # Patch redis module so from_url returns a client that fails on ping\n    fake_redis_module = types.SimpleNamespace(from_url=FakeRedis.from_url)\n    mocker.patch.dict(sys.modules, {\"redis\": fake_redis_module})\n    \n    # Should return False, not raise\n    result = worker_module.validate_service_connections()\n    assert result is False\n\n\ndef test_start_worker_with_defaults(mocker):\n    \"\"\"Test start_worker with default configuration\"\"\"\n    worker_module, _ = setup_mocks_for_worker(mocker)\n    \n    # Mock os.getpid to return a fixed value\n    mocker.patch(\"backend.data_process.worker.os.getpid\", return_value=12345)\n    \n    # Mock app.worker_main to avoid actually starting a worker\n    call_args = []\n    \n    def mock_worker_main(args):\n        call_args.append(args)\n    \n    mocker.patch.object(worker_module.app, \"worker_main\", side_effect=mock_worker_main)\n    \n    # Call start_worker - it should not raise\n    worker_module.start_worker()\n    \n    assert len(call_args) == 1\n    args = call_args[0]\n    assert 'worker' in args\n    assert '--queues=process_q,forward_q' in args\n    assert '--hostname=worker-12345@%h' in args\n    assert '--concurrency=4' in args\n\n\ndef test_start_worker_with_custom_name(mocker):\n    \"\"\"Test start_worker with custom WORKER_NAME\"\"\"\n    worker_module, _ = setup_mocks_for_worker(mocker)\n    \n    # Set custom worker name\n    if \"consts.const\" in sys.modules:\n        sys.modules[\"consts.const\"].WORKER_NAME = \"custom-worker\"\n    \n    # Reload to pick up new constant value\n    importlib.reload(worker_module)\n    \n    call_args = []\n    \n    def mock_worker_main(args):\n        call_args.append(args)\n    \n    mocker.patch.object(worker_module.app, \"worker_main\", side_effect=mock_worker_main)\n    \n    worker_module.start_worker()\n    \n    assert len(call_args) == 1\n    args = call_args[0]\n    assert '--hostname=custom-worker@%h' in args\n\n\ndef test_start_worker_keyboard_interrupt(mocker):\n    \"\"\"Test start_worker handling KeyboardInterrupt\"\"\"\n    worker_module, _ = setup_mocks_for_worker(mocker)\n    \n    def mock_worker_main(args):\n        raise KeyboardInterrupt()\n    \n    mocker.patch.object(worker_module.app, \"worker_main\", side_effect=mock_worker_main)\n    \n    # Should handle KeyboardInterrupt gracefully\n    with pytest.raises(SystemExit) as exc_info:\n        worker_module.start_worker()\n    assert exc_info.value.code == 0\n\n\ndef test_start_worker_exception(mocker):\n    \"\"\"Test start_worker handling general exceptions\"\"\"\n    worker_module, _ = setup_mocks_for_worker(mocker)\n    \n    def mock_worker_main(args):\n        raise RuntimeError(\"Worker failed\")\n    \n    mocker.patch.object(worker_module.app, \"worker_main\", side_effect=mock_worker_main)\n    \n    # Should exit with code 1 on error\n    with pytest.raises(SystemExit) as exc_info:\n        worker_module.start_worker()\n    assert exc_info.value.code == 1\n\n\ndef test_worker_state_initialization(mocker):\n    \"\"\"Test that worker_state is properly initialized\"\"\"\n    worker_module, _ = setup_mocks_for_worker(mocker)\n    \n    assert 'initialized' in worker_module.worker_state\n    assert 'ready' in worker_module.worker_state\n    assert 'start_time' in worker_module.worker_state\n    assert 'process_id' in worker_module.worker_state\n    assert 'tasks_completed' in worker_module.worker_state\n    assert 'tasks_failed' in worker_module.worker_state\n\n\ndef test_setup_worker_environment_ray_already_initialized(mocker):\n    \"\"\"Test setup_worker_environment when Ray is already initialized\"\"\"\n    worker_module, fake_ray = setup_mocks_for_worker(mocker, initialized=True)\n    \n    fake_ray._initialized = True\n    \n    # Mock RayConfig.init_ray_for_worker\n    init_called = []\n    \n    class FakeRayConfig:\n        @classmethod\n        def init_ray_for_worker(cls, address):\n            init_called.append(address)\n            return True\n    \n    mocker.patch.object(worker_module, \"RayConfig\", FakeRayConfig)\n    \n    # Call setup_worker_environment\n    worker_module.setup_worker_environment()\n    \n    # Should not call init_ray_for_worker when Ray is already initialized\n    assert len(init_called) == 0\n    assert worker_module.worker_state['initialized'] is True\n\n\ndef test_setup_worker_environment_ray_init_success(mocker):\n    \"\"\"Test setup_worker_environment with successful Ray initialization\"\"\"\n    worker_module, fake_ray = setup_mocks_for_worker(mocker, initialized=False)\n    \n    fake_ray._initialized = False\n    \n    init_called = []\n    \n    class FakeRayConfig:\n        @classmethod\n        def init_ray_for_worker(cls, address):\n            init_called.append(address)\n            return True\n    \n    mocker.patch.object(worker_module, \"RayConfig\", FakeRayConfig)\n    \n    worker_module.setup_worker_environment()\n    \n    assert len(init_called) == 1\n    assert init_called[0] == \"auto\"\n    assert worker_module.worker_state['initialized'] is True\n\n\ndef test_setup_worker_environment_sets_ray_preallocate_env(mocker):\n    \"\"\"Ensure setup_worker_environment sets RAY_preallocate_plasma env var\"\"\"\n    worker_module, _ = setup_mocks_for_worker(mocker, initialized=False)\n\n    # Force init success to avoid fallback path exceptions\n    class FakeRayConfig:\n        @classmethod\n        def init_ray_for_worker(cls, address):\n            return True\n\n    mocker.patch.object(worker_module, \"RayConfig\", FakeRayConfig)\n\n    worker_module.setup_worker_environment()\n\n    assert os.environ.get(\"RAY_preallocate_plasma\") == str(worker_module.RAY_preallocate_plasma).lower()\n\n\ndef test_setup_worker_environment_ray_init_fallback(mocker):\n    \"\"\"Test setup_worker_environment with Ray init fallback\"\"\"\n    worker_module, fake_ray = setup_mocks_for_worker(mocker, initialized=False)\n    \n    fake_ray._initialized = False\n    \n    init_called = []\n    \n    class FakeRayConfig:\n        @classmethod\n        def init_ray_for_worker(cls, address):\n            init_called.append(address)\n            return False  # Return False to trigger fallback\n    \n    mocker.patch.object(worker_module, \"RayConfig\", FakeRayConfig)\n    \n    worker_module.setup_worker_environment()\n    \n    # Should call init_ray_for_worker, then fallback to direct ray.init\n    assert len(init_called) == 1\n    assert len(fake_ray.inits) == 1\n    assert fake_ray.inits[0][\"address\"] == \"auto\"\n    assert worker_module.worker_state['initialized'] is True\n\n\ndef test_setup_worker_environment_ray_init_failure(mocker):\n    \"\"\"Test setup_worker_environment with Ray initialization failure\"\"\"\n    worker_module, fake_ray = setup_mocks_for_worker(mocker, initialized=False)\n    \n    fake_ray._initialized = False\n    \n    class FakeRayConfig:\n        @classmethod\n        def init_ray_for_worker(cls, address):\n            raise ConnectionError(\"Cannot connect to Ray\")\n    \n    mocker.patch.object(worker_module, \"RayConfig\", FakeRayConfig)\n    \n    # Should raise ConnectionError\n    with pytest.raises(ConnectionError):\n        worker_module.setup_worker_environment()\n\n\ndef test_setup_worker_process_resources_success(mocker):\n    \"\"\"Test setup_worker_process_resources success\"\"\"\n    worker_module, _ = setup_mocks_for_worker(mocker)\n    \n    class FakeRedisClient:\n        def ping(self):\n            return True\n    \n    class FakeRedis:\n        @staticmethod\n        def from_url(url, socket_timeout=5):\n            return FakeRedisClient()\n\n    # Patch redis module so validate_service_connections succeeds\n    fake_redis_module = types.SimpleNamespace(from_url=FakeRedis.from_url)\n    mocker.patch.dict(sys.modules, {\"redis\": fake_redis_module})\n    mocker.patch(\"backend.data_process.worker.os.getpid\", return_value=99999)\n    \n    # Should not raise\n    worker_module.setup_worker_process_resources()\n    \n    assert worker_module.worker_state['services_validated'] is True\n\n\ndef test_setup_worker_process_resources_failure(mocker):\n    \"\"\"Test setup_worker_process_resources failure\"\"\"\n    worker_module, _ = setup_mocks_for_worker(mocker)\n    \n    # Force validate_service_connections to raise to exercise error handling path\n    mocker.patch.object(\n        worker_module,\n        \"validate_service_connections\",\n        side_effect=Exception(\"Service validation failed\"),\n    )\n    \n    # Should raise exception\n    with pytest.raises(Exception):\n        worker_module.setup_worker_process_resources()\n\n\ndef test_worker_ready_handler(mocker):\n    \"\"\"Test worker_ready_handler\"\"\"\n    worker_module, _ = setup_mocks_for_worker(mocker)\n    \n    worker_module.worker_state['start_time'] = 1000.0\n    mocker.patch(\"backend.data_process.worker.os.getpid\", return_value=12345)\n    \n    # Mock time.time to return a fixed value\n    mocker.patch(\"backend.data_process.worker.time.time\", return_value=1005.0)\n    \n    worker_module.worker_ready_handler()\n    \n    assert worker_module.worker_state['ready'] is True\n\n\ndef test_worker_shutdown_handler(mocker):\n    \"\"\"Test worker_shutdown_handler\"\"\"\n    worker_module, _ = setup_mocks_for_worker(mocker)\n    \n    worker_module.worker_state['process_id'] = 12345\n    worker_module.worker_state['start_time'] = 1000.0\n    worker_module.worker_state['tasks_completed'] = 10\n    worker_module.worker_state['tasks_failed'] = 2\n    \n    mocker.patch(\"backend.data_process.worker.time.time\", return_value=1005.0)\n    \n    # Should not raise\n    worker_module.worker_shutdown_handler()\n\n\ndef test_task_prerun_handler(mocker):\n    \"\"\"Test task_prerun_handler\"\"\"\n    worker_module, _ = setup_mocks_for_worker(mocker)\n    \n    fake_task = types.SimpleNamespace(name=\"test_task\")\n    \n    # Should not raise\n    worker_module.task_prerun_handler(task=fake_task, task_id=\"task-123\")\n\n\ndef test_task_postrun_handler_success(mocker):\n    \"\"\"Test task_postrun_handler with SUCCESS state\"\"\"\n    worker_module, _ = setup_mocks_for_worker(mocker)\n    \n    initial_completed = worker_module.worker_state['tasks_completed']\n    \n    fake_task = types.SimpleNamespace(name=\"test_task\")\n    worker_module.task_postrun_handler(task=fake_task, task_id=\"task-123\", state=\"SUCCESS\")\n    \n    assert worker_module.worker_state['tasks_completed'] == initial_completed + 1\n\n\ndef test_task_postrun_handler_other_state(mocker):\n    \"\"\"Test task_postrun_handler with non-SUCCESS state\"\"\"\n    worker_module, _ = setup_mocks_for_worker(mocker)\n    \n    initial_completed = worker_module.worker_state['tasks_completed']\n    \n    fake_task = types.SimpleNamespace(name=\"test_task\")\n    worker_module.task_postrun_handler(task=fake_task, task_id=\"task-123\", state=\"FAILURE\")\n    \n    # Should not increment completed count\n    assert worker_module.worker_state['tasks_completed'] == initial_completed\n\n\ndef test_task_failure_handler(mocker):\n    \"\"\"Test task_failure_handler\"\"\"\n    worker_module, _ = setup_mocks_for_worker(mocker)\n    \n    initial_failed = worker_module.worker_state['tasks_failed']\n    \n    fake_sender = types.SimpleNamespace(name=\"test_task\")\n    fake_exception = ValueError(\"Test error\")\n    \n    worker_module.task_failure_handler(\n        sender=fake_sender,\n        task_id=\"task-123\",\n        exception=fake_exception\n    )\n    \n    assert worker_module.worker_state['tasks_failed'] == initial_failed + 1\n"
  },
  {
    "path": "test/backend/database/test_agent_db.py",
    "content": "import sys\nimport pytest\nfrom unittest.mock import patch, MagicMock\n\n# 首先模拟consts模块，避免ModuleNotFoundError\nconsts_mock = MagicMock()\nconsts_mock.const = MagicMock()\n# 设置consts.const中需要的常量\nconsts_mock.const.MINIO_ENDPOINT = \"http://localhost:9000\"\nconsts_mock.const.MINIO_ACCESS_KEY = \"test_access_key\"\nconsts_mock.const.MINIO_SECRET_KEY = \"test_secret_key\"\nconsts_mock.const.MINIO_REGION = \"us-east-1\"\nconsts_mock.const.MINIO_DEFAULT_BUCKET = \"test-bucket\"\nconsts_mock.const.POSTGRES_HOST = \"localhost\"\nconsts_mock.const.POSTGRES_USER = \"test_user\"\nconsts_mock.const.NEXENT_POSTGRES_PASSWORD = \"test_password\"\nconsts_mock.const.POSTGRES_DB = \"test_db\"\nconsts_mock.const.POSTGRES_PORT = 5432\nconsts_mock.const.DEFAULT_TENANT_ID = \"default_tenant\"\n\n# 将模拟的consts模块添加到sys.modules中\nsys.modules['consts'] = consts_mock\nsys.modules['consts.const'] = consts_mock.const\n\n# 模拟utils模块\nutils_mock = MagicMock()\nutils_mock.auth_utils = MagicMock()\nutils_mock.auth_utils.get_current_user_id_from_token = MagicMock(return_value=\"test_user_id\")\n\n# 将模拟的utils模块添加到sys.modules中\nsys.modules['utils'] = utils_mock\nsys.modules['utils.auth_utils'] = utils_mock.auth_utils\n\n# Stub utils.str_utils to satisfy imports in backend.database.agent_db\nstr_utils_mock = MagicMock()\nstr_utils_mock.convert_list_to_string = MagicMock(\n    side_effect=lambda items: \"\" if items is None else \",\".join(str(i) for i in items)\n)\nstr_utils_mock.convert_string_to_list = MagicMock(\n    side_effect=lambda s: [] if not s else [int(x) for x in str(s).split(\",\") if str(x).strip().isdigit()]\n)\nsys.modules['utils.str_utils'] = str_utils_mock\n\n# Provide a stub for the `boto3` module so that it can be imported safely even\n# if the testing environment does not have it available.\nboto3_mock = MagicMock()\nsys.modules['boto3'] = boto3_mock\n\n# 模拟整个client模块\nclient_mock = MagicMock()\nclient_mock.MinioClient = MagicMock()\nclient_mock.PostgresClient = MagicMock()\nclient_mock.db_client = MagicMock()\nclient_mock.get_db_session = MagicMock()\nclient_mock.as_dict = MagicMock()\nclient_mock.filter_property = MagicMock()\n\n# 将模拟的client模块添加到sys.modules中\nsys.modules['database.client'] = client_mock\nsys.modules['backend.database.client'] = client_mock\n\n# 模拟db_models模块\n# First, try to import real classes before mocking (if possible)\n_real_agent_info = None\n_real_tool_instance = None\n_real_agent_relation = None\ntry:\n    # Try to import real classes before they get mocked\n    # This will only work if the module can be imported without database connection\n    from backend.database.db_models import AgentInfo as _real_agent_info, ToolInstance as _real_tool_instance, AgentRelation as _real_agent_relation\nexcept (ImportError, Exception):\n    # If import fails (e.g., database not available), we'll use mocks\n    pass\n\ndb_models_mock = MagicMock()\ndb_models_mock.AgentInfo = MagicMock()\ndb_models_mock.ToolInstance = MagicMock()\ndb_models_mock.AgentRelation = MagicMock()\n\n# 将模拟的db_models模块添加到sys.modules中\nsys.modules['database.db_models'] = db_models_mock\nsys.modules['backend.database.db_models'] = db_models_mock\n\n# 现在可以安全地导入被测试的模块\nfrom backend.database.agent_db import (\n    search_agent_info_by_agent_id,\n    search_agent_id_by_agent_name,\n    search_blank_sub_agent_by_main_agent_id,\n    query_sub_agents_id_list,\n    create_agent,\n    update_agent,\n    delete_agent_by_id,\n    query_all_agent_info_by_tenant_id,\n    insert_related_agent,\n    delete_related_agent,\n    delete_agent_relationship,\n    update_related_agents\n)\n\nclass MockAgent:\n    def __init__(self):\n        self.agent_id = 1\n        self.name = \"test_agent\"\n        self.display_name = \"test_agent\"\n        self.tenant_id = \"tenant1\"\n        self.delete_flag = \"N\"\n        self.enabled = True\n        self.updated_by = None\n        self.business_logic_model_id = None\n        self.business_logic_model_name = None\n        self.description = None\n        self.author = None\n        self.model_id = None\n        self.model_name = None\n        self.max_steps = 5\n        self.duty_prompt = None\n        self.constraint_prompt = None\n        self.few_shots_prompt = None\n        self.parent_agent_id = None\n        self.provide_run_summary = None\n        self.business_description = None\n        self.group_ids = None\n        self.is_new = True\n        self.current_version_no = None\n        self.version_no = 0\n        self.created_by = None\n\nclass MockAgentRelation:\n    def __init__(self):\n        self.selected_agent_id = 2\n\n@pytest.fixture\ndef mock_session():\n    \"\"\"创建模拟的数据库会话\"\"\"\n    mock_session = MagicMock()\n    mock_query = MagicMock()\n    mock_session.query.return_value = mock_query\n    return mock_session, mock_query\n\ndef test_search_agent_info_by_agent_id_success(monkeypatch, mock_session):\n    \"\"\"测试成功搜索agent信息\"\"\"\n    session, query = mock_session\n    mock_agent = MockAgent()\n\n    mock_first = MagicMock()\n    mock_first.return_value = mock_agent\n    mock_filter = MagicMock()\n    mock_filter.first = mock_first\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.agent_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\"backend.database.agent_db.as_dict\", lambda obj: obj.__dict__)\n\n    result = search_agent_info_by_agent_id(1, \"tenant1\")\n\n    assert result[\"agent_id\"] == 1\n    assert result[\"name\"] == \"test_agent\"\n    assert result[\"tenant_id\"] == \"tenant1\"\n\ndef test_search_agent_info_by_agent_id_not_found(monkeypatch, mock_session):\n    \"\"\"测试搜索不存在的agent\"\"\"\n    session, query = mock_session\n    mock_first = MagicMock()\n    mock_first.return_value = None\n    mock_filter = MagicMock()\n    mock_filter.first = mock_first\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.agent_db.get_db_session\", lambda: mock_ctx)\n\n    with pytest.raises(ValueError, match=\"agent not found\"):\n        search_agent_info_by_agent_id(999, \"tenant1\")\n\ndef test_search_agent_id_by_agent_name_success(monkeypatch, mock_session):\n    \"\"\"测试成功通过agent名称搜索agent ID\"\"\"\n    session, query = mock_session\n    mock_agent = MockAgent()\n\n    mock_first = MagicMock()\n    mock_first.return_value = mock_agent\n    mock_filter = MagicMock()\n    mock_filter.first = mock_first\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.agent_db.get_db_session\", lambda: mock_ctx)\n\n    result = search_agent_id_by_agent_name(\"test_agent\", \"tenant1\")\n\n    assert result == 1\n\ndef test_search_agent_id_by_agent_name_not_found(monkeypatch, mock_session):\n    \"\"\"测试通过不存在的agent名称搜索\"\"\"\n    session, query = mock_session\n    mock_first = MagicMock()\n    mock_first.return_value = None\n    mock_filter = MagicMock()\n    mock_filter.first = mock_first\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.agent_db.get_db_session\", lambda: mock_ctx)\n\n    with pytest.raises(ValueError, match=\"agent not found\"):\n        search_agent_id_by_agent_name(\"nonexistent_agent\", \"tenant1\")\n\ndef test_search_blank_sub_agent_by_main_agent_id_found(monkeypatch, mock_session):\n    \"\"\"测试成功搜索空白子agent\"\"\"\n    session, query = mock_session\n    mock_agent = MockAgent()\n    mock_agent.enabled = False\n\n    mock_first = MagicMock()\n    mock_first.return_value = mock_agent\n    mock_filter = MagicMock()\n    mock_filter.first = mock_first\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.agent_db.get_db_session\", lambda: mock_ctx)\n\n    result = search_blank_sub_agent_by_main_agent_id(\"tenant1\")\n\n    assert result == 1\n\ndef test_search_blank_sub_agent_by_main_agent_id_not_found(monkeypatch, mock_session):\n    \"\"\"测试搜索不到空白子agent\"\"\"\n    session, query = mock_session\n    mock_first = MagicMock()\n    mock_first.return_value = None\n    mock_filter = MagicMock()\n    mock_filter.first = mock_first\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.agent_db.get_db_session\", lambda: mock_ctx)\n\n    result = search_blank_sub_agent_by_main_agent_id(\"tenant1\")\n\n    assert result is None\n\ndef test_query_sub_agents_id_list(monkeypatch, mock_session):\n    \"\"\"测试查询子agent ID列表\"\"\"\n    session, query = mock_session\n    mock_relation = MockAgentRelation()\n\n    mock_all = MagicMock()\n    mock_all.return_value = [mock_relation]\n    mock_filter = MagicMock()\n    mock_filter.all = mock_all\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.agent_db.get_db_session\", lambda: mock_ctx)\n\n    result = query_sub_agents_id_list(1, \"tenant1\")\n\n    assert result == [2]\n\ndef test_create_agent_success(monkeypatch, mock_session):\n    \"\"\"测试成功创建agent\"\"\"\n    session, query = mock_session\n    session.add = MagicMock()\n    session.flush = MagicMock()\n\n    mock_agent = MockAgent()\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.agent_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\"backend.database.agent_db.filter_property\", lambda data, model: data)\n    monkeypatch.setattr(\"backend.database.agent_db.as_dict\", lambda obj: obj.__dict__)\n    monkeypatch.setattr(\"backend.database.agent_db.AgentInfo\", lambda **kwargs: mock_agent)\n\n    agent_info = {\"name\": \"new_agent\", \"description\": \"test description\"}\n    result = create_agent(agent_info, \"tenant1\", \"user1\")\n\n    assert result[\"agent_id\"] == 1\n    session.add.assert_called_once()\n    session.flush.assert_called_once()\n\ndef test_update_agent_success(monkeypatch, mock_session):\n    \"\"\"测试成功更新agent\"\"\"\n    session, query = mock_session\n    mock_agent = MockAgent()\n\n    mock_first = MagicMock()\n    mock_first.return_value = mock_agent\n    mock_filter = MagicMock()\n    mock_filter.first = mock_first\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.agent_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\"backend.database.agent_db.filter_property\", lambda data, model: data)\n\n    agent_info = MagicMock()\n    agent_info.__dict__ = {\"name\": \"updated_agent\", \"description\": \"updated description\"}\n\n    update_agent(1, agent_info, \"user1\")\n\n    assert mock_agent.updated_by == \"user1\"\n\ndef test_update_agent_skips_none_and_converts_group_ids(monkeypatch, mock_session):\n    \"\"\"update_agent should skip None values and convert group_ids list to string.\"\"\"\n    session, query = mock_session\n    mock_agent = MockAgent()\n\n    mock_first = MagicMock()\n    mock_first.return_value = mock_agent\n    mock_filter = MagicMock()\n    mock_filter.first = mock_first\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.agent_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\"backend.database.agent_db.filter_property\", lambda data, model: data)\n\n    # Spy on the imported convert_list_to_string in backend.database.agent_db\n    from backend.database import agent_db as agent_db_module\n    agent_db_module.convert_list_to_string.reset_mock()\n\n    agent_info = MagicMock()\n    agent_info.__dict__ = {\n        # None should be skipped by update_agent (lines 158-159)\n        \"name\": None,\n        # group_ids should be converted (lines 160-161)\n        \"group_ids\": [1, 2],\n    }\n\n    update_agent(1, agent_info, \"user1\")\n\n    # name should remain unchanged because None is skipped\n    assert mock_agent.name == \"test_agent\"\n    # group_ids should be set as a comma-separated string\n    assert getattr(mock_agent, \"group_ids\") == \"1,2\"\n    agent_db_module.convert_list_to_string.assert_called_once_with([1, 2])\n    assert mock_agent.updated_by == \"user1\"\n\ndef test_update_agent_not_found(monkeypatch, mock_session):\n    \"\"\"测试更新不存在的agent\"\"\"\n    session, query = mock_session\n    mock_first = MagicMock()\n    mock_first.return_value = None\n    mock_filter = MagicMock()\n    mock_filter.first = mock_first\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.agent_db.get_db_session\", lambda: mock_ctx)\n\n    agent_info = MagicMock()\n    agent_info.__dict__ = {\"name\": \"updated_agent\"}\n\n    with pytest.raises(ValueError, match=\"ag_tenant_agent_t Agent not found\"):\n        update_agent(999, agent_info, \"user1\")\n\ndef test_delete_agent_by_id_success(monkeypatch, mock_session):\n    \"\"\"测试成功删除agent\"\"\"\n    session, query = mock_session\n    # Mock session.execute instead of query.filter.update\n    mock_execute = MagicMock()\n    session.execute = mock_execute\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.agent_db.get_db_session\", lambda: mock_ctx)\n\n    # Restore real AgentInfo and ToolInstance classes for SQLAlchemy update\n    # Use the real classes that were saved before mocking\n    if _real_agent_info is not None:\n        monkeypatch.setattr(\"backend.database.agent_db.AgentInfo\", _real_agent_info)\n    if _real_tool_instance is not None:\n        monkeypatch.setattr(\"backend.database.agent_db.ToolInstance\", _real_tool_instance)\n\n    delete_agent_by_id(1, \"tenant1\", \"user1\")\n\n    # 验证调用了两次execute（一次更新AgentInfo，一次更新ToolInstance）\n    assert mock_execute.call_count == 2\n\ndef test_query_all_agent_info_by_tenant_id(monkeypatch, mock_session):\n    \"\"\"测试查询所有agent信息\"\"\"\n    session, query = mock_session\n    mock_agent = MockAgent()\n\n    mock_all = MagicMock()\n    mock_all.return_value = [mock_agent]\n    mock_order_by = MagicMock()\n    mock_order_by.all = mock_all\n    mock_filter = MagicMock()\n    mock_filter.order_by.return_value = mock_order_by\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.agent_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\"backend.database.agent_db.as_dict\", lambda obj: obj.__dict__)\n\n    result = query_all_agent_info_by_tenant_id(\"tenant1\")\n\n    assert len(result) == 1\n    assert result[0][\"agent_id\"] == 1\n\ndef test_insert_related_agent_success(monkeypatch, mock_session):\n    \"\"\"测试成功插入相关agent\"\"\"\n    session, query = mock_session\n    session.add = MagicMock()\n    session.flush = MagicMock()\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.agent_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\"backend.database.agent_db.filter_property\", lambda data, model: data)\n    monkeypatch.setattr(\"backend.database.agent_db.AgentRelation\", lambda **kwargs: MagicMock())\n\n    result = insert_related_agent(1, 2, \"tenant1\", \"user1\")\n\n    assert result is True\n    session.add.assert_called_once()\n    session.flush.assert_called_once()\n\ndef test_insert_related_agent_failure(monkeypatch, mock_session):\n    \"\"\"测试插入相关agent失败\"\"\"\n    session, query = mock_session\n    session.add = MagicMock(side_effect=Exception(\"Database error\"))\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.agent_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\"backend.database.agent_db.filter_property\", lambda data, model: data)\n    monkeypatch.setattr(\"backend.database.agent_db.AgentRelation\", lambda **kwargs: MagicMock())\n\n    result = insert_related_agent(1, 2, \"tenant1\", \"user1\")\n\n    assert result is False\n\ndef test_delete_related_agent_success(monkeypatch, mock_session):\n    \"\"\"测试成功删除相关agent\"\"\"\n    session, query = mock_session\n    mock_update = MagicMock()\n    mock_filter = MagicMock()\n    mock_filter.update = mock_update\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.agent_db.get_db_session\", lambda: mock_ctx)\n\n    result = delete_related_agent(1, 2, \"tenant1\", \"user1\")\n\n    assert result is True\n    mock_update.assert_called_once()\n\ndef test_delete_related_agent_failure(monkeypatch, mock_session):\n    \"\"\"测试删除相关agent失败\"\"\"\n    session, query = mock_session\n    mock_update = MagicMock(side_effect=Exception(\"Database error\"))\n    mock_filter = MagicMock()\n    mock_filter.update = mock_update\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.agent_db.get_db_session\", lambda: mock_ctx)\n\n    result = delete_related_agent(1, 2, \"tenant1\", \"user1\")\n\n    assert result is False\n\ndef test_delete_agent_relationship_success(monkeypatch, mock_session):\n    \"\"\"测试成功删除agent关系\"\"\"\n    session, query = mock_session\n    mock_update = MagicMock()\n    mock_filter = MagicMock()\n    mock_filter.update = mock_update\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.agent_db.get_db_session\", lambda: mock_ctx)\n\n    # 函数不返回任何值，只验证执行成功\n    delete_agent_relationship(1, \"tenant1\", \"user1\")\n\n    # 验证调用了两次update（一次删除父关系，一次删除子关系）\n    assert mock_update.call_count == 2\n\ndef test_delete_agent_relationship_failure(monkeypatch, mock_session):\n    \"\"\"测试删除agent关系失败\"\"\"\n    session, query = mock_session\n    mock_update = MagicMock(side_effect=Exception(\"Database error\"))\n    mock_filter = MagicMock()\n    mock_filter.update = mock_update\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.agent_db.get_db_session\", lambda: mock_ctx)\n\n    # 函数应该抛出异常，因为数据库操作失败\n    with pytest.raises(Exception, match=\"Database error\"):\n        delete_agent_relationship(1, \"tenant1\", \"user1\")\n\n\ndef test_update_related_agents_add_new(monkeypatch, mock_session):\n    \"\"\"测试更新相关agent - 添加新关系\"\"\"\n    session, query = mock_session\n\n    # Mock current relations (empty initially)\n    mock_all = MagicMock()\n    mock_all.return_value = []  # No existing relations\n\n    # Mock for querying current relations\n    mock_filter1 = MagicMock()\n    mock_filter1.all = mock_all\n\n    # Mock for update (soft delete) - should not be called since no deletions\n    mock_update = MagicMock()\n    mock_filter2 = MagicMock()\n    mock_filter2.update = mock_update\n\n    # Setup filter chain: first call returns filter1 (for query)\n    # If update is called, it would return filter2, but it shouldn't be called\n    query.filter.return_value = mock_filter1\n\n    # Mock for adding new relations\n    session.add = MagicMock()\n    session.commit = MagicMock()\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.agent_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\"backend.database.agent_db.filter_property\", lambda data, model: data)\n\n    # Create a Mock class for AgentRelation that supports both class attribute access and instantiation\n    # The class attributes need to support comparison operations (==, !=, .in_()) for SQLAlchemy queries\n    class MockAgentRelationClass:\n        parent_agent_id = MagicMock()\n        tenant_id = MagicMock()\n        delete_flag = MagicMock()\n        selected_agent_id = MagicMock()\n        version_no = MagicMock()\n\n        def __init__(self, **kwargs):\n            for key, value in kwargs.items():\n                setattr(self, key, value)\n\n    monkeypatch.setattr(\"backend.database.agent_db.AgentRelation\", MockAgentRelationClass)\n\n    # Execute - add new relations [2, 3]\n    update_related_agents(1, [2, 3], \"tenant1\", \"user1\")\n\n    # Verify: should add 2 new relations, no deletions\n    assert session.add.call_count == 2\n    # Note: update_related_agents doesn't explicitly call commit(), it relies on context manager\n    # Verify update was not called since there are no deletions\n    mock_update.assert_not_called()\n\n\ndef test_update_related_agents_delete_existing(monkeypatch, mock_session):\n    \"\"\"测试更新相关agent - 删除现有关系\"\"\"\n    session, query = mock_session\n\n    # Mock existing relations\n    mock_relation1 = MockAgentRelation()\n    mock_relation1.selected_agent_id = 2\n    mock_relation2 = MockAgentRelation()\n    mock_relation2.selected_agent_id = 3\n\n    mock_all = MagicMock()\n    mock_all.return_value = [mock_relation1, mock_relation2]\n\n    # Mock for querying current relations\n    mock_filter1 = MagicMock()\n    mock_filter1.all = mock_all\n\n    # Mock for update (soft delete)\n    mock_update = MagicMock()\n    mock_filter2 = MagicMock()\n    mock_filter2.update = mock_update\n\n    # Setup filter chain: first call returns filter1 (for query), subsequent calls return filter2 (for update)\n    query.filter.side_effect = [mock_filter1, mock_filter2]\n\n    session.add = MagicMock()\n    session.commit = MagicMock()\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.agent_db.get_db_session\", lambda: mock_ctx)\n\n    # Execute - remove all relations (empty list)\n    update_related_agents(1, [], \"tenant1\", \"user1\")\n\n    # Verify: should soft delete 2 relations, add none\n    mock_update.assert_called_once()\n    session.add.assert_not_called()\n    # Note: update_related_agents doesn't explicitly call commit(), it relies on context manager\n\n\ndef test_update_related_agents_replace_mixed(monkeypatch, mock_session):\n    \"\"\"测试更新相关agent - 混合添加和删除\"\"\"\n    session, query = mock_session\n\n    # Mock existing relations [2, 3]\n    mock_relation1 = MockAgentRelation()\n    mock_relation1.selected_agent_id = 2\n    mock_relation2 = MockAgentRelation()\n    mock_relation2.selected_agent_id = 3\n\n    mock_all = MagicMock()\n    mock_all.return_value = [mock_relation1, mock_relation2]\n\n    # Mock for querying current relations\n    mock_filter1 = MagicMock()\n    mock_filter1.all = mock_all\n\n    # Mock for update (soft delete) - will be called to delete 2\n    mock_update = MagicMock()\n    mock_filter2 = MagicMock()\n    mock_filter2.update = mock_update\n\n    # Setup filter chain: first call returns filter1 (for query), subsequent calls return filter2 (for update)\n    query.filter.side_effect = [mock_filter1, mock_filter2]\n\n    session.add = MagicMock()\n    session.commit = MagicMock()\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.agent_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\"backend.database.agent_db.filter_property\", lambda data, model: data)\n\n    # Create a Mock class for AgentRelation that supports both class attribute access and instantiation\n    # The class attributes need to support comparison operations (==, !=, .in_()) for SQLAlchemy queries\n    class MockAgentRelationClass:\n        parent_agent_id = MagicMock()\n        tenant_id = MagicMock()\n        delete_flag = MagicMock()\n        selected_agent_id = MagicMock()\n        version_no = MagicMock()\n\n        def __init__(self, **kwargs):\n            for key, value in kwargs.items():\n                setattr(self, key, value)\n\n    monkeypatch.setattr(\"backend.database.agent_db.AgentRelation\", MockAgentRelationClass)\n\n    # Execute - replace [2, 3] with [3, 4] (delete 2, add 4)\n    update_related_agents(1, [3, 4], \"tenant1\", \"user1\")\n\n    # Verify: should delete 2 (relation with selected_agent_id=2), add 4\n    mock_update.assert_called_once()\n    assert session.add.call_count == 1\n    # Note: update_related_agents doesn't explicitly call commit(), it relies on context manager\n\n\ndef test_update_related_agents_no_changes(monkeypatch, mock_session):\n    \"\"\"测试更新相关agent - 无变化\"\"\"\n    session, query = mock_session\n\n    # Mock existing relations [2, 3]\n    mock_relation1 = MockAgentRelation()\n    mock_relation1.selected_agent_id = 2\n    mock_relation2 = MockAgentRelation()\n    mock_relation2.selected_agent_id = 3\n\n    mock_all = MagicMock()\n    mock_all.return_value = [mock_relation1, mock_relation2]\n\n    # Mock for querying current relations\n    mock_filter1 = MagicMock()\n    mock_filter1.all = mock_all\n    query.filter.return_value = mock_filter1\n\n    session.add = MagicMock()\n    session.commit = MagicMock()\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.agent_db.get_db_session\", lambda: mock_ctx)\n\n    # Execute - same relations [2, 3]\n    update_related_agents(1, [2, 3], \"tenant1\", \"user1\")\n\n    # Verify: no deletions, no additions\n    session.add.assert_not_called()\n    # Note: update_related_agents doesn't explicitly call commit(), it relies on context manager\n\n\ndef test_clear_agent_new_mark_success(monkeypatch):\n    \"\"\"Test successful clearing of agent NEW mark\"\"\"\n    from backend.database.agent_db import clear_agent_new_mark\n\n    # Mock the entire update operation\n    mock_update_result = MagicMock()\n    mock_update_result.rowcount = 1\n\n    mock_update = MagicMock(return_value=mock_update_result)\n    monkeypatch.setattr(\"backend.database.agent_db.update\", mock_update)\n\n    # Mock session\n    mock_session = MagicMock()\n    mock_session.execute.return_value = mock_update_result\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = mock_session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.agent_db.get_db_session\", lambda: mock_ctx)\n\n    # Execute\n    result = clear_agent_new_mark(1, \"tenant1\", \"user1\")\n\n    # Verify\n    assert result == 1\n    mock_session.execute.assert_called_once()\n\n\ndef test_clear_agent_new_mark_no_rows_affected(monkeypatch):\n    \"\"\"Test clearing agent NEW mark when no rows are affected\"\"\"\n    from backend.database.agent_db import clear_agent_new_mark\n\n    # Mock the entire update operation\n    mock_update_result = MagicMock()\n    mock_update_result.rowcount = 0\n\n    mock_update = MagicMock(return_value=mock_update_result)\n    monkeypatch.setattr(\"backend.database.agent_db.update\", mock_update)\n\n    # Mock session\n    mock_session = MagicMock()\n    mock_session.execute.return_value = mock_update_result\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = mock_session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.agent_db.get_db_session\", lambda: mock_ctx)\n\n    # Execute\n    result = clear_agent_new_mark(999, \"tenant1\", \"user1\")\n\n    # Verify\n    assert result == 0\n    mock_session.execute.assert_called_once()\n\n\ndef test_mark_agents_as_new_success(monkeypatch):\n    \"\"\"Test successful marking agents as new\"\"\"\n    from backend.database.agent_db import mark_agents_as_new\n\n    # Mock the update function\n    mock_update = MagicMock()\n    monkeypatch.setattr(\"backend.database.agent_db.update\", mock_update)\n\n    # Mock session\n    mock_session = MagicMock()\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = mock_session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.agent_db.get_db_session\", lambda: mock_ctx)\n\n    # Execute\n    mark_agents_as_new([1, 2, 3], \"tenant1\", \"user1\")\n\n    # Verify\n    mock_session.execute.assert_called_once()\n\n\ndef test_mark_agents_as_new_empty_list(monkeypatch):\n    \"\"\"Test marking agents as new with empty list\"\"\"\n    from backend.database.agent_db import mark_agents_as_new\n\n    # Mock session\n    mock_session = MagicMock()\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = mock_session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.agent_db.get_db_session\", lambda: mock_ctx)\n\n    # Execute with empty list\n    mark_agents_as_new([], \"tenant1\", \"user1\")\n\n    # Verify - should not execute any database operations\n    mock_session.execute.assert_not_called()\n\n\ndef test_clear_agent_new_mark_sqlalchemy_error(monkeypatch):\n    \"\"\"Test clear_agent_new_mark with SQLAlchemy error\"\"\"\n    from backend.database.agent_db import clear_agent_new_mark\n    from sqlalchemy.exc import SQLAlchemyError\n\n    # Mock the update function\n    mock_update = MagicMock()\n    monkeypatch.setattr(\"backend.database.agent_db.update\", mock_update)\n\n    # Mock session to raise SQLAlchemy error\n    mock_session = MagicMock()\n    mock_session.execute.side_effect = SQLAlchemyError(\"Database error\")\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = mock_session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.agent_db.get_db_session\", lambda: mock_ctx)\n\n    # Execute and expect exception\n    with pytest.raises(SQLAlchemyError):\n        clear_agent_new_mark(1, \"tenant1\", \"user1\")\n\n\ndef test_mark_agents_as_new_sqlalchemy_error(monkeypatch):\n    \"\"\"Test mark_agents_as_new with SQLAlchemy error\"\"\"\n    from backend.database.agent_db import mark_agents_as_new\n    from sqlalchemy.exc import SQLAlchemyError\n\n    # Mock the update function\n    mock_update = MagicMock()\n    monkeypatch.setattr(\"backend.database.agent_db.update\", mock_update)\n\n    # Mock session to raise SQLAlchemy error\n    mock_session = MagicMock()\n    mock_session.execute.side_effect = SQLAlchemyError(\"Database error\")\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = mock_session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.agent_db.get_db_session\", lambda: mock_ctx)\n\n    # Execute and expect exception\n    with pytest.raises(SQLAlchemyError):\n        mark_agents_as_new([1, 2, 3], \"tenant1\", \"user1\")\n\n\ndef test_clear_agent_new_mark_database_connection_error(monkeypatch):\n    \"\"\"Test clear_agent_new_mark with database connection error\"\"\"\n    from backend.database.agent_db import clear_agent_new_mark\n\n    # Mock get_db_session to raise an exception\n    monkeypatch.setattr(\"backend.database.agent_db.get_db_session\", lambda: (_ for _ in ()).throw(Exception(\"Connection failed\")))\n\n    # Execute and expect exception\n    with pytest.raises(Exception):\n        clear_agent_new_mark(1, \"tenant1\", \"user1\")\n"
  },
  {
    "path": "test/backend/database/test_agent_version_db.py",
    "content": "import sys\nimport pytest\nfrom unittest.mock import patch, MagicMock\nfrom contextlib import contextmanager\n\n# First mock the consts module to avoid ModuleNotFoundError\nconsts_mock = MagicMock()\nconsts_mock.const = MagicMock()\n# Set up required constants in consts.const\nconsts_mock.const.MINIO_ENDPOINT = \"http://localhost:9000\"\nconsts_mock.const.MINIO_ACCESS_KEY = \"test_access_key\"\nconsts_mock.const.MINIO_SECRET_KEY = \"test_secret_key\"\nconsts_mock.const.MINIO_REGION = \"us-east-1\"\nconsts_mock.const.MINIO_DEFAULT_BUCKET = \"test-bucket\"\nconsts_mock.const.POSTGRES_HOST = \"localhost\"\nconsts_mock.const.POSTGRES_USER = \"test_user\"\nconsts_mock.const.NEXENT_POSTGRES_PASSWORD = \"test_password\"\nconsts_mock.const.POSTGRES_DB = \"test_db\"\nconsts_mock.const.POSTGRES_PORT = 5432\nconsts_mock.const.DEFAULT_TENANT_ID = \"default_tenant\"\n\n# Add the mocked consts module to sys.modules\nsys.modules['consts'] = consts_mock\nsys.modules['consts.const'] = consts_mock.const\n\n# Mock utils module\nutils_mock = MagicMock()\nutils_mock.auth_utils = MagicMock()\nutils_mock.auth_utils.get_current_user_id_from_token = MagicMock(return_value=\"test_user_id\")\n\n# Add the mocked utils module to sys.modules\nsys.modules['utils'] = utils_mock\nsys.modules['utils.auth_utils'] = utils_mock.auth_utils\n\n# Provide a stub for the `boto3` module so that it can be imported safely even\n# if the testing environment does not have it available.\nboto3_mock = MagicMock()\nsys.modules['boto3'] = boto3_mock\n\n# Mock the entire client module\nclient_mock = MagicMock()\nclient_mock.MinioClient = MagicMock()\nclient_mock.PostgresClient = MagicMock()\nclient_mock.db_client = MagicMock()\nclient_mock.get_db_session = MagicMock()\nclient_mock.as_dict = MagicMock()\nclient_mock.filter_property = MagicMock()\n\n# Mock db_models module\ndb_models_mock = MagicMock()\ndb_models_mock.AgentInfo = MagicMock()\ndb_models_mock.ToolInstance = MagicMock()\ndb_models_mock.AgentRelation = MagicMock()\ndb_models_mock.AgentVersion = MagicMock()\n\n# Create a mock database module to satisfy imports\n# This is needed because agent_version_db.py uses \"from database.client import ...\"\ndatabase_mock = MagicMock()\ndatabase_mock.client = client_mock\ndatabase_mock.db_models = db_models_mock\n\n# Add the mocked modules to sys.modules (order matters!)\n# database module must be added before its submodules\nsys.modules['database'] = database_mock\nsys.modules['database.client'] = client_mock\nsys.modules['database.db_models'] = db_models_mock\nsys.modules['backend.database.client'] = client_mock\nsys.modules['backend.database.db_models'] = db_models_mock\n\n# Now we can safely import the module being tested\nimport backend.database.agent_version_db as agent_version_db_module\nfrom backend.database.agent_version_db import (\n    search_version_by_version_no,\n    search_version_by_id,\n    query_version_list,\n    query_current_version_no,\n    query_agent_snapshot,\n    query_agent_draft,\n    insert_version,\n    update_version_status,\n    update_version,\n    update_agent_current_version,\n    insert_agent_snapshot,\n    insert_tool_snapshot,\n    insert_relation_snapshot,\n    update_agent_snapshot,\n    delete_agent_snapshot,\n    delete_tool_snapshot,\n    delete_relation_snapshot,\n    get_next_version_no,\n    delete_version,\n    SOURCE_TYPE_NORMAL,\n    SOURCE_TYPE_ROLLBACK,\n    STATUS_RELEASED,\n    STATUS_DISABLED,\n    STATUS_ARCHIVED,\n)\n\n\nclass MockAgentVersion:\n    def __init__(self):\n        self.id = 1\n        self.agent_id = 1\n        self.tenant_id = \"tenant1\"\n        self.version_no = 1\n        self.version_name = \"v1.0\"\n        self.release_note = \"Initial release\"\n        self.source_type = SOURCE_TYPE_NORMAL\n        self.source_version_no = None\n        self.status = STATUS_RELEASED\n        self.delete_flag = \"N\"\n        self.created_by = \"user1\"\n        self.create_time = \"2023-01-01 12:00:00\"\n        self.__dict__ = {\n            \"id\": 1,\n            \"agent_id\": 1,\n            \"tenant_id\": \"tenant1\",\n            \"version_no\": 1,\n            \"version_name\": \"v1.0\",\n            \"release_note\": \"Initial release\",\n            \"source_type\": SOURCE_TYPE_NORMAL,\n            \"source_version_no\": None,\n            \"status\": STATUS_RELEASED,\n            \"delete_flag\": \"N\",\n            \"created_by\": \"user1\",\n            \"create_time\": \"2023-01-01 12:00:00\",\n        }\n\n\nclass MockAgentInfo:\n    def __init__(self):\n        self.agent_id = 1\n        self.tenant_id = \"tenant1\"\n        self.version_no = 1\n        self.current_version_no = 1\n        self.name = \"Test Agent\"\n        self.delete_flag = \"N\"\n        self.__dict__ = {\n            \"agent_id\": 1,\n            \"tenant_id\": \"tenant1\",\n            \"version_no\": 1,\n            \"current_version_no\": 1,\n            \"name\": \"Test Agent\",\n            \"delete_flag\": \"N\",\n        }\n\n\nclass MockToolInstance:\n    def __init__(self):\n        self.tool_instance_id = 1\n        self.tool_id = 1\n        self.agent_id = 1\n        self.tenant_id = \"tenant1\"\n        self.version_no = 1\n        self.delete_flag = \"N\"\n        self.__dict__ = {\n            \"tool_instance_id\": 1,\n            \"tool_id\": 1,\n            \"agent_id\": 1,\n            \"tenant_id\": \"tenant1\",\n            \"version_no\": 1,\n            \"delete_flag\": \"N\",\n        }\n\n\nclass MockAgentRelation:\n    def __init__(self):\n        self.id = 1\n        self.parent_agent_id = 1\n        self.selected_agent_id = 2\n        self.tenant_id = \"tenant1\"\n        self.version_no = 1\n        self.delete_flag = \"N\"\n        self.__dict__ = {\n            \"id\": 1,\n            \"parent_agent_id\": 1,\n            \"selected_agent_id\": 2,\n            \"tenant_id\": \"tenant1\",\n            \"version_no\": 1,\n            \"delete_flag\": \"N\",\n        }\n\n\ndef mock_as_dict(obj):\n    \"\"\"Helper function to convert mock objects to dict\"\"\"\n    if obj is None:\n        return None\n    \n    # Check if it's a MagicMock without real data - return empty dict or handle specially\n    if isinstance(obj, MagicMock):\n        # Check if this MagicMock has been configured with real attributes\n        # by checking if it has any of our expected keys as non-MagicMock values\n        has_real_data = False\n        for attr in ['agent_id', 'version_no', 'id', 'tool_id', 'tool_instance_id', \n                     'parent_agent_id', 'selected_agent_id', 'name']:\n            if hasattr(obj, attr):\n                try:\n                    value = getattr(obj, attr)\n                    if not isinstance(value, MagicMock):\n                        has_real_data = True\n                        break\n                except (AttributeError, TypeError):\n                    pass\n        \n        # If it's a MagicMock without real data, return empty dict\n        # (This handles cases where MagicMock objects are returned but shouldn't be converted)\n        if not has_real_data:\n            # Check __dict__ for our mock classes\n            if hasattr(obj, '__dict__') and isinstance(obj.__dict__, dict):\n                obj_dict = obj.__dict__\n                if any(key in obj_dict for key in ['agent_id', 'version_no', 'id', 'tool_id']):\n                    return obj_dict.copy()\n            return {}\n    \n    # For our custom mock classes (MockAgentInfo, MockToolInstance, etc.), use __dict__ directly\n    # These classes set self.__dict__ explicitly with the data we need\n    if hasattr(obj, '__dict__') and isinstance(obj.__dict__, dict):\n        # Check if this looks like one of our mock classes by checking for key attributes\n        # Our mock classes have __dict__ set with actual data, not just mock internals\n        obj_dict = obj.__dict__\n        # Check if it has any of our expected keys (not just mock internals)\n        if any(key in obj_dict for key in ['agent_id', 'version_no', 'id', 'tool_id', 'tool_instance_id', \n                                           'parent_agent_id', 'selected_agent_id']):\n            return obj_dict.copy()\n    \n    # For other objects, build dict from attributes\n    result = {}\n    for attr in ['agent_id', 'version_no', 'tenant_id', 'id', 'tool_id', 'selected_agent_id', \n                 'tool_instance_id', 'parent_agent_id', 'name', 'version_name', 'status',\n                 'current_version_no', 'delete_flag', 'created_by', 'create_time', \n                 'release_note', 'source_type', 'source_version_no']:\n        if hasattr(obj, attr):\n            try:\n                value = getattr(obj, attr)\n                # Skip MagicMock objects that aren't configured (they'll have default MagicMock behavior)\n                if not isinstance(value, MagicMock):\n                    result[attr] = value\n            except (AttributeError, TypeError):\n                pass\n    # Return the result dict (may be empty for objects without configured attributes)\n    return result\n\n\ndef mock_sqlalchemy_insert(monkeypatch):\n    \"\"\"Helper function to mock SQLAlchemy insert\"\"\"\n    from sqlalchemy.sql import Insert\n    \n    def insert_wrapper(table):\n        \"\"\"Wrapper that accepts the actual table class (or MagicMock) and returns a mock statement\"\"\"\n        # Create a mock statement that chains properly\n        # This bypasses SQLAlchemy's table validation by directly returning a mock\n        mock_stmt = MagicMock(spec=Insert)\n        mock_values_result = MagicMock()\n        mock_returning_result = MagicMock()\n        \n        # Chain: .values(**kwargs) returns an object that has .returning()\n        mock_values_result.returning = lambda *args, **kwargs: mock_returning_result\n        mock_stmt.values = lambda **kwargs: mock_values_result\n        \n        # The final statement is what gets executed\n        return mock_stmt\n    \n    # Patch the imported function in agent_version_db module (this is what the code actually uses)\n    # We patch at the module level after import, so it overrides the imported function\n    monkeypatch.setattr(agent_version_db_module, \"insert\", insert_wrapper)\n    return insert_wrapper\n\n\ndef mock_sqlalchemy_update(monkeypatch):\n    \"\"\"Helper function to mock SQLAlchemy update\"\"\"\n    from sqlalchemy.sql import Update\n    \n    def update_wrapper(table):\n        \"\"\"Wrapper that accepts the actual table class (or MagicMock) and returns a mock statement\"\"\"\n        # Create a mock statement that chains properly\n        # This bypasses SQLAlchemy's table validation by directly returning a mock\n        mock_stmt = MagicMock(spec=Update)\n        mock_where_result = MagicMock()\n        \n        # Chain: .where(...) returns an object that has .values()\n        # .values(**kwargs) returns the statement itself (for chaining)\n        mock_where_result.values = lambda **kwargs: mock_stmt\n        mock_stmt.where = lambda *args, **kwargs: mock_where_result\n        \n        # The final statement is what gets executed\n        return mock_stmt\n    \n    # Patch the imported function in agent_version_db module (this is what the code actually uses)\n    # We patch at the module level after import, so it overrides the imported function\n    monkeypatch.setattr(agent_version_db_module, \"update\", update_wrapper)\n    return update_wrapper\n\n\n@pytest.fixture\ndef mock_session():\n    \"\"\"Create a mock database session\"\"\"\n    mock_session = MagicMock()\n    mock_query = MagicMock()\n    mock_session.query.return_value = mock_query\n    return mock_session, mock_query\n\n\ndef test_search_version_by_version_no_found(monkeypatch, mock_session):\n    \"\"\"Test successfully finding version by version_no\"\"\"\n    session, query = mock_session\n    mock_version = MockAgentVersion()\n    \n    mock_filter = MagicMock()\n    mock_filter.first = lambda: mock_version\n    query.filter.return_value = mock_filter\n    \n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    # Mock the functions directly in the imported module\n    # This is needed because agent_version_db imports get_db_session and as_dict at module level\n    monkeypatch.setattr(agent_version_db_module, \"get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(agent_version_db_module, \"as_dict\", mock_as_dict)\n    \n    result = search_version_by_version_no(agent_id=1, tenant_id=\"tenant1\", version_no=1)\n    \n    assert result is not None\n    assert result[\"version_no\"] == 1\n    assert result[\"version_name\"] == \"v1.0\"\n    assert result[\"status\"] == STATUS_RELEASED\n\n\ndef test_search_version_by_version_no_not_found(monkeypatch, mock_session):\n    \"\"\"Test searching for non-existent version\"\"\"\n    session, query = mock_session\n    \n    mock_filter = MagicMock()\n    mock_filter.first = lambda: None\n    query.filter.return_value = mock_filter\n    \n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    # Mock the functions directly in the imported module\n    # This is needed because agent_version_db imports get_db_session and as_dict at module level\n    monkeypatch.setattr(agent_version_db_module, \"get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(agent_version_db_module, \"as_dict\", mock_as_dict)\n    \n    result = search_version_by_version_no(agent_id=1, tenant_id=\"tenant1\", version_no=999)\n    \n    assert result is None\n\n\ndef test_search_version_by_id_found(monkeypatch, mock_session):\n    \"\"\"Test successfully finding version by id\"\"\"\n    session, query = mock_session\n    mock_version = MockAgentVersion()\n    \n    mock_filter = MagicMock()\n    mock_filter.first = lambda: mock_version\n    query.filter.return_value = mock_filter\n    \n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    # Mock the functions directly in the imported module\n    # This is needed because agent_version_db imports get_db_session and as_dict at module level\n    monkeypatch.setattr(agent_version_db_module, \"get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(agent_version_db_module, \"as_dict\", mock_as_dict)\n    \n    result = search_version_by_id(version_id=1, tenant_id=\"tenant1\")\n    \n    assert result is not None\n    assert result[\"id\"] == 1\n    assert result[\"version_no\"] == 1\n\n\ndef test_search_version_by_id_not_found(monkeypatch, mock_session):\n    \"\"\"Test searching for non-existent version by id\"\"\"\n    session, query = mock_session\n    \n    mock_filter = MagicMock()\n    mock_filter.first = lambda: None\n    query.filter.return_value = mock_filter\n    \n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    # Mock the functions directly in the imported module\n    # This is needed because agent_version_db imports get_db_session and as_dict at module level\n    monkeypatch.setattr(agent_version_db_module, \"get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(agent_version_db_module, \"as_dict\", mock_as_dict)\n    \n    result = search_version_by_id(version_id=999, tenant_id=\"tenant1\")\n    \n    assert result is None\n\n\ndef test_query_version_list_success(monkeypatch, mock_session):\n    \"\"\"Test successfully querying version list\"\"\"\n    session, query = mock_session\n    mock_version1 = MockAgentVersion()\n    mock_version2 = MockAgentVersion()\n    mock_version2.version_no = 2\n    mock_version2.version_name = \"v2.0\"\n    \n    mock_order_by = MagicMock()\n    mock_order_by.all = lambda: [mock_version2, mock_version1]  # Ordered desc\n    mock_filter = MagicMock()\n    mock_filter.order_by.return_value = mock_order_by\n    query.filter.return_value = mock_filter\n    \n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    # Mock the functions directly in the imported module\n    # This is needed because agent_version_db imports get_db_session and as_dict at module level\n    monkeypatch.setattr(agent_version_db_module, \"get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(agent_version_db_module, \"as_dict\", mock_as_dict)\n    \n    result = query_version_list(agent_id=1, tenant_id=\"tenant1\")\n    \n    assert len(result) == 2\n    assert result[0][\"version_no\"] == 2  # Should be ordered desc\n    assert result[1][\"version_no\"] == 1\n\n\ndef test_query_version_list_empty(monkeypatch, mock_session):\n    \"\"\"Test querying version list when no versions exist\"\"\"\n    session, query = mock_session\n    \n    mock_order_by = MagicMock()\n    mock_order_by.all = lambda: []\n    mock_filter = MagicMock()\n    mock_filter.order_by.return_value = mock_order_by\n    query.filter.return_value = mock_filter\n    \n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    # Mock the functions directly in the imported module\n    # This is needed because agent_version_db imports get_db_session and as_dict at module level\n    monkeypatch.setattr(agent_version_db_module, \"get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(agent_version_db_module, \"as_dict\", mock_as_dict)\n    \n    result = query_version_list(agent_id=1, tenant_id=\"tenant1\")\n    \n    assert result == []\n\n\ndef test_query_current_version_no_found(monkeypatch, mock_session):\n    \"\"\"Test successfully querying current version number\"\"\"\n    session, query = mock_session\n    mock_agent = MockAgentInfo()\n    mock_agent.current_version_no = 5\n    \n    mock_filter = MagicMock()\n    mock_filter.first = lambda: mock_agent\n    query.filter.return_value = mock_filter\n    \n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    # Mock the functions directly in the imported module\n    # This is needed because agent_version_db imports get_db_session and as_dict at module level\n    monkeypatch.setattr(agent_version_db_module, \"get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(agent_version_db_module, \"as_dict\", mock_as_dict)\n    \n    result = query_current_version_no(agent_id=1, tenant_id=\"tenant1\")\n    \n    assert result == 5\n\n\ndef test_query_current_version_no_not_found(monkeypatch, mock_session):\n    \"\"\"Test querying current version when agent draft doesn't exist\"\"\"\n    session, query = mock_session\n    \n    mock_filter = MagicMock()\n    mock_filter.first = lambda: None\n    query.filter.return_value = mock_filter\n    \n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    # Mock the functions directly in the imported module\n    # This is needed because agent_version_db imports get_db_session and as_dict at module level\n    monkeypatch.setattr(agent_version_db_module, \"get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(agent_version_db_module, \"as_dict\", mock_as_dict)\n    \n    result = query_current_version_no(agent_id=999, tenant_id=\"tenant1\")\n    \n    assert result is None\n\n\ndef test_query_agent_snapshot_success(monkeypatch, mock_session):\n    \"\"\"Test successfully querying agent snapshot\"\"\"\n    session, query = mock_session\n    mock_agent = MockAgentInfo()\n    mock_tool = MockToolInstance()\n    mock_relation = MockAgentRelation()\n    \n    # Mock query chain for agent\n    mock_agent_filter = MagicMock()\n    mock_agent_filter.first = lambda: mock_agent\n    \n    # Mock query chain for tools\n    mock_tools_filter = MagicMock()\n    mock_tools_filter.all = lambda: [mock_tool]\n    \n    # Mock query chain for relations\n    mock_relations_filter = MagicMock()\n    mock_relations_filter.all = lambda: [mock_relation]\n    \n    # Setup session.query to return different query objects based on model\n    def query_side_effect(model_class):\n        mock_query = MagicMock()\n        if model_class == db_models_mock.AgentInfo:\n            mock_query.filter.return_value = mock_agent_filter\n        elif model_class == db_models_mock.ToolInstance:\n            mock_query.filter.return_value = mock_tools_filter\n        elif model_class == db_models_mock.AgentRelation:\n            mock_query.filter.return_value = mock_relations_filter\n        else:\n            mock_query.filter.return_value = MagicMock()\n        return mock_query\n    \n    session.query.side_effect = query_side_effect\n    \n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    # Mock the functions directly in the imported module\n    # This is needed because agent_version_db imports get_db_session and as_dict at module level\n    monkeypatch.setattr(agent_version_db_module, \"get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(agent_version_db_module, \"as_dict\", mock_as_dict)\n    \n    agent_dict, tools_list, relations_list = query_agent_snapshot(\n        agent_id=1, tenant_id=\"tenant1\", version_no=1\n    )\n    \n    assert agent_dict is not None\n    assert agent_dict[\"agent_id\"] == 1\n    assert len(tools_list) == 1\n    assert tools_list[0][\"tool_id\"] == 1\n    assert len(relations_list) == 1\n    assert relations_list[0][\"selected_agent_id\"] == 2\n\n\ndef test_query_agent_snapshot_no_agent(monkeypatch, mock_session):\n    \"\"\"Test querying snapshot when agent doesn't exist\"\"\"\n    session, query = mock_session\n    \n    mock_agent_filter = MagicMock()\n    mock_agent_filter.first = lambda: None\n    \n    mock_tools_filter = MagicMock()\n    mock_tools_filter.all = lambda: []\n    \n    mock_relations_filter = MagicMock()\n    mock_relations_filter.all = lambda: []\n    \n    # Setup session.query to return different query objects based on model\n    def query_side_effect(model_class):\n        mock_query = MagicMock()\n        if model_class == db_models_mock.AgentInfo:\n            mock_query.filter.return_value = mock_agent_filter\n        elif model_class == db_models_mock.ToolInstance:\n            mock_query.filter.return_value = mock_tools_filter\n        elif model_class == db_models_mock.AgentRelation:\n            mock_query.filter.return_value = mock_relations_filter\n        else:\n            mock_query.filter.return_value = MagicMock()\n        return mock_query\n    \n    session.query.side_effect = query_side_effect\n    \n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    # Mock the functions directly in the imported module\n    # This is needed because agent_version_db imports get_db_session and as_dict at module level\n    monkeypatch.setattr(agent_version_db_module, \"get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(agent_version_db_module, \"as_dict\", mock_as_dict)\n    \n    agent_dict, tools_list, relations_list = query_agent_snapshot(\n        agent_id=999, tenant_id=\"tenant1\", version_no=1\n    )\n    \n    assert agent_dict is None\n    assert tools_list == []\n    assert relations_list == []\n\n\ndef test_query_agent_draft(monkeypatch, mock_session):\n    \"\"\"Test querying agent draft (version_no=0)\"\"\"\n    session, query = mock_session\n    \n    # query_agent_draft calls query_agent_snapshot with version_no=0\n    mock_agent = MockAgentInfo()\n    mock_agent.version_no = 0\n    mock_agent.__dict__['version_no'] = 0\n    \n    mock_agent_filter = MagicMock()\n    mock_agent_filter.first = lambda: mock_agent\n    \n    mock_tools_filter = MagicMock()\n    mock_tools_filter.all = lambda: []\n    \n    mock_relations_filter = MagicMock()\n    mock_relations_filter.all = lambda: []\n    \n    # Setup session.query to return different query objects based on model\n    def query_side_effect(model_class):\n        mock_query = MagicMock()\n        if model_class == db_models_mock.AgentInfo:\n            mock_query.filter.return_value = mock_agent_filter\n        elif model_class == db_models_mock.ToolInstance:\n            mock_query.filter.return_value = mock_tools_filter\n        elif model_class == db_models_mock.AgentRelation:\n            mock_query.filter.return_value = mock_relations_filter\n        else:\n            mock_query.filter.return_value = MagicMock()\n        return mock_query\n    \n    session.query.side_effect = query_side_effect\n    \n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    # Mock the functions directly in the imported module\n    # This is needed because agent_version_db imports get_db_session and as_dict at module level\n    monkeypatch.setattr(agent_version_db_module, \"get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(agent_version_db_module, \"as_dict\", mock_as_dict)\n    \n    agent_dict, tools_list, relations_list = query_agent_draft(agent_id=1, tenant_id=\"tenant1\")\n    \n    assert agent_dict is not None\n    assert agent_dict[\"version_no\"] == 0\n\n\ndef test_insert_version_success(monkeypatch, mock_session):\n    \"\"\"Test successfully inserting a new version\"\"\"\n    session, query = mock_session\n    \n    mock_result = MagicMock()\n    mock_result.scalar_one.return_value = 123\n    session.execute.return_value = mock_result\n    \n    # Mock SQLAlchemy insert to avoid ArgumentError\n    mock_sqlalchemy_insert(monkeypatch)\n    \n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    # Mock the functions directly in the imported module\n    # This is needed because agent_version_db imports get_db_session and as_dict at module level\n    monkeypatch.setattr(agent_version_db_module, \"get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(agent_version_db_module, \"as_dict\", mock_as_dict)\n    \n    version_data = {\n        \"tenant_id\": \"tenant1\",\n        \"agent_id\": 1,\n        \"version_no\": 1,\n        \"version_name\": \"v1.0\",\n        \"status\": STATUS_RELEASED,\n    }\n    \n    result = insert_version(version_data)\n    \n    assert result == 123\n    session.execute.assert_called_once()\n\n\ndef test_update_version_status_success(monkeypatch, mock_session):\n    \"\"\"Test successfully updating version status\"\"\"\n    session, query = mock_session\n    \n    mock_result = MagicMock()\n    mock_result.rowcount = 1\n    session.execute.return_value = mock_result\n    \n    # Mock SQLAlchemy update to avoid ArgumentError\n    mock_sqlalchemy_update(monkeypatch)\n    \n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    # Mock the functions directly in the imported module\n    # This is needed because agent_version_db imports get_db_session and as_dict at module level\n    monkeypatch.setattr(agent_version_db_module, \"get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(agent_version_db_module, \"as_dict\", mock_as_dict)\n    \n    result = update_version_status(\n        agent_id=1,\n        tenant_id=\"tenant1\",\n        version_no=1,\n        status=STATUS_DISABLED,\n        updated_by=\"user1\",\n    )\n    \n    assert result == 1\n    session.execute.assert_called_once()\n\n\ndef test_update_version_status_not_found(monkeypatch, mock_session):\n    \"\"\"Test updating status when version doesn't exist\"\"\"\n    session, query = mock_session\n    \n    mock_result = MagicMock()\n    mock_result.rowcount = 0\n    session.execute.return_value = mock_result\n    \n    # Mock SQLAlchemy update to avoid ArgumentError\n    mock_sqlalchemy_update(monkeypatch)\n    \n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    # Mock the functions directly in the imported module\n    # This is needed because agent_version_db imports get_db_session and as_dict at module level\n    monkeypatch.setattr(agent_version_db_module, \"get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(agent_version_db_module, \"as_dict\", mock_as_dict)\n    \n    result = update_version_status(\n        agent_id=999,\n        tenant_id=\"tenant1\",\n        version_no=999,\n        status=STATUS_DISABLED,\n        updated_by=\"user1\",\n    )\n    \n    assert result == 0\n\n\ndef test_update_agent_current_version_success(monkeypatch, mock_session):\n    \"\"\"Test successfully updating agent current version\"\"\"\n    session, query = mock_session\n    \n    mock_result = MagicMock()\n    mock_result.rowcount = 1\n    session.execute.return_value = mock_result\n    \n    # Mock SQLAlchemy update to avoid ArgumentError\n    mock_sqlalchemy_update(monkeypatch)\n    \n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    # Mock the functions directly in the imported module\n    # This is needed because agent_version_db imports get_db_session and as_dict at module level\n    monkeypatch.setattr(agent_version_db_module, \"get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(agent_version_db_module, \"as_dict\", mock_as_dict)\n    \n    result = update_agent_current_version(\n        agent_id=1,\n        tenant_id=\"tenant1\",\n        current_version_no=5,\n    )\n    \n    assert result == 1\n    session.execute.assert_called_once()\n\n\ndef test_update_agent_current_version_not_found(monkeypatch, mock_session):\n    \"\"\"Test updating current version when agent draft doesn't exist\"\"\"\n    session, query = mock_session\n    \n    mock_result = MagicMock()\n    mock_result.rowcount = 0\n    session.execute.return_value = mock_result\n    \n    # Mock SQLAlchemy update to avoid ArgumentError\n    mock_sqlalchemy_update(monkeypatch)\n    \n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    # Mock the functions directly in the imported module\n    # This is needed because agent_version_db imports get_db_session and as_dict at module level\n    monkeypatch.setattr(agent_version_db_module, \"get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(agent_version_db_module, \"as_dict\", mock_as_dict)\n    \n    result = update_agent_current_version(\n        agent_id=999,\n        tenant_id=\"tenant1\",\n        current_version_no=5,\n    )\n    \n    assert result == 0\n\n\ndef test_insert_agent_snapshot_success(monkeypatch, mock_session):\n    \"\"\"Test successfully inserting agent snapshot\"\"\"\n    session, query = mock_session\n    \n    session.execute = MagicMock()\n    \n    # Mock SQLAlchemy insert to avoid ArgumentError\n    mock_sqlalchemy_insert(monkeypatch)\n    \n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    # Mock the functions directly in the imported module\n    # This is needed because agent_version_db imports get_db_session and as_dict at module level\n    monkeypatch.setattr(agent_version_db_module, \"get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(agent_version_db_module, \"as_dict\", mock_as_dict)\n    \n    agent_data = {\n        \"agent_id\": 1,\n        \"tenant_id\": \"tenant1\",\n        \"version_no\": 1,\n        \"name\": \"Test Agent\",\n    }\n    \n    insert_agent_snapshot(agent_data)\n    \n    session.execute.assert_called_once()\n\n\ndef test_insert_tool_snapshot_success(monkeypatch, mock_session):\n    \"\"\"Test successfully inserting tool snapshot\"\"\"\n    session, query = mock_session\n    \n    session.execute = MagicMock()\n    \n    # Mock SQLAlchemy insert to avoid ArgumentError\n    mock_sqlalchemy_insert(monkeypatch)\n    \n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    # Mock the functions directly in the imported module\n    # This is needed because agent_version_db imports get_db_session and as_dict at module level\n    monkeypatch.setattr(agent_version_db_module, \"get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(agent_version_db_module, \"as_dict\", mock_as_dict)\n    \n    tool_data = {\n        \"tool_id\": 1,\n        \"agent_id\": 1,\n        \"tenant_id\": \"tenant1\",\n        \"version_no\": 1,\n    }\n    \n    insert_tool_snapshot(tool_data)\n    \n    session.execute.assert_called_once()\n\n\ndef test_insert_relation_snapshot_success(monkeypatch, mock_session):\n    \"\"\"Test successfully inserting relation snapshot\"\"\"\n    session, query = mock_session\n    \n    session.execute = MagicMock()\n    \n    # Mock SQLAlchemy insert to avoid ArgumentError\n    mock_sqlalchemy_insert(monkeypatch)\n    \n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    # Mock the functions directly in the imported module\n    # This is needed because agent_version_db imports get_db_session and as_dict at module level\n    monkeypatch.setattr(agent_version_db_module, \"get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(agent_version_db_module, \"as_dict\", mock_as_dict)\n    \n    relation_data = {\n        \"parent_agent_id\": 1,\n        \"selected_agent_id\": 2,\n        \"tenant_id\": \"tenant1\",\n        \"version_no\": 1,\n    }\n    \n    insert_relation_snapshot(relation_data)\n    \n    session.execute.assert_called_once()\n\n\ndef test_update_agent_snapshot_success(monkeypatch, mock_session):\n    \"\"\"Test successfully updating agent snapshot\"\"\"\n    session, query = mock_session\n    \n    mock_result = MagicMock()\n    mock_result.rowcount = 1\n    session.execute.return_value = mock_result\n    \n    # Mock SQLAlchemy update to avoid ArgumentError\n    mock_sqlalchemy_update(monkeypatch)\n    \n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    # Mock the functions directly in the imported module\n    # This is needed because agent_version_db imports get_db_session and as_dict at module level\n    monkeypatch.setattr(agent_version_db_module, \"get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(agent_version_db_module, \"as_dict\", mock_as_dict)\n    \n    agent_data = {\"name\": \"Updated Agent Name\"}\n    \n    result = update_agent_snapshot(\n        agent_id=1,\n        tenant_id=\"tenant1\",\n        version_no=1,\n        agent_data=agent_data,\n    )\n    \n    assert result == 1\n    session.execute.assert_called_once()\n\n\ndef test_update_agent_snapshot_not_found(monkeypatch, mock_session):\n    \"\"\"Test updating snapshot when it doesn't exist\"\"\"\n    session, query = mock_session\n    \n    mock_result = MagicMock()\n    mock_result.rowcount = 0\n    session.execute.return_value = mock_result\n    \n    # Mock SQLAlchemy update to avoid ArgumentError\n    mock_sqlalchemy_update(monkeypatch)\n    \n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    # Mock the functions directly in the imported module\n    # This is needed because agent_version_db imports get_db_session and as_dict at module level\n    monkeypatch.setattr(agent_version_db_module, \"get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(agent_version_db_module, \"as_dict\", mock_as_dict)\n    \n    agent_data = {\"name\": \"Updated Agent Name\"}\n    \n    result = update_agent_snapshot(\n        agent_id=999,\n        tenant_id=\"tenant1\",\n        version_no=999,\n        agent_data=agent_data,\n    )\n    \n    assert result == 0\n\n\ndef test_delete_agent_snapshot_success(monkeypatch, mock_session):\n    \"\"\"Test successfully deleting agent snapshot\"\"\"\n    session, query = mock_session\n    \n    mock_result = MagicMock()\n    mock_result.rowcount = 1\n    session.execute.return_value = mock_result\n    \n    # Mock SQLAlchemy update to avoid ArgumentError (delete uses update)\n    mock_sqlalchemy_update(monkeypatch)\n    \n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    # Mock the functions directly in the imported module\n    # This is needed because agent_version_db imports get_db_session and as_dict at module level\n    monkeypatch.setattr(agent_version_db_module, \"get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(agent_version_db_module, \"as_dict\", mock_as_dict)\n    \n    result = delete_agent_snapshot(\n        agent_id=1,\n        tenant_id=\"tenant1\",\n        version_no=1,\n        deleted_by=\"user1\",\n    )\n    \n    assert result == 1\n    session.execute.assert_called_once()\n\n\ndef test_delete_tool_snapshot_success(monkeypatch, mock_session):\n    \"\"\"Test successfully deleting tool snapshot\"\"\"\n    session, query = mock_session\n    \n    mock_result = MagicMock()\n    mock_result.rowcount = 2\n    session.execute.return_value = mock_result\n    \n    # Mock SQLAlchemy update to avoid ArgumentError (delete uses update)\n    mock_sqlalchemy_update(monkeypatch)\n    \n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    # Mock the functions directly in the imported module\n    # This is needed because agent_version_db imports get_db_session and as_dict at module level\n    monkeypatch.setattr(agent_version_db_module, \"get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(agent_version_db_module, \"as_dict\", mock_as_dict)\n    \n    result = delete_tool_snapshot(\n        agent_id=1,\n        tenant_id=\"tenant1\",\n        version_no=1,\n        deleted_by=\"user1\",\n    )\n    \n    assert result == 2\n    session.execute.assert_called_once()\n\n\ndef test_delete_tool_snapshot_without_deleted_by(monkeypatch, mock_session):\n    \"\"\"Test deleting tool snapshot without deleted_by parameter\"\"\"\n    session, query = mock_session\n    \n    mock_result = MagicMock()\n    mock_result.rowcount = 1\n    session.execute.return_value = mock_result\n    \n    # Mock SQLAlchemy update to avoid ArgumentError (delete uses update)\n    mock_sqlalchemy_update(monkeypatch)\n    \n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    # Mock the functions directly in the imported module\n    # This is needed because agent_version_db imports get_db_session and as_dict at module level\n    monkeypatch.setattr(agent_version_db_module, \"get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(agent_version_db_module, \"as_dict\", mock_as_dict)\n    \n    result = delete_tool_snapshot(\n        agent_id=1,\n        tenant_id=\"tenant1\",\n        version_no=1,\n    )\n    \n    assert result == 1\n    session.execute.assert_called_once()\n\n\ndef test_delete_relation_snapshot_success(monkeypatch, mock_session):\n    \"\"\"Test successfully deleting relation snapshot\"\"\"\n    session, query = mock_session\n    \n    mock_result = MagicMock()\n    mock_result.rowcount = 1\n    session.execute.return_value = mock_result\n    \n    # Mock SQLAlchemy update to avoid ArgumentError (delete uses update)\n    mock_sqlalchemy_update(monkeypatch)\n    \n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    # Mock the functions directly in the imported module\n    # This is needed because agent_version_db imports get_db_session and as_dict at module level\n    monkeypatch.setattr(agent_version_db_module, \"get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(agent_version_db_module, \"as_dict\", mock_as_dict)\n    \n    result = delete_relation_snapshot(\n        agent_id=1,\n        tenant_id=\"tenant1\",\n        version_no=1,\n        deleted_by=\"user1\",\n    )\n    \n    assert result == 1\n    session.execute.assert_called_once()\n\n\ndef test_delete_relation_snapshot_without_deleted_by(monkeypatch, mock_session):\n    \"\"\"Test deleting relation snapshot without deleted_by parameter\"\"\"\n    session, query = mock_session\n    \n    mock_result = MagicMock()\n    mock_result.rowcount = 1\n    session.execute.return_value = mock_result\n    \n    # Mock SQLAlchemy update to avoid ArgumentError (delete uses update)\n    mock_sqlalchemy_update(monkeypatch)\n    \n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    # Mock the functions directly in the imported module\n    # This is needed because agent_version_db imports get_db_session and as_dict at module level\n    monkeypatch.setattr(agent_version_db_module, \"get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(agent_version_db_module, \"as_dict\", mock_as_dict)\n    \n    result = delete_relation_snapshot(\n        agent_id=1,\n        tenant_id=\"tenant1\",\n        version_no=1,\n    )\n    \n    assert result == 1\n    session.execute.assert_called_once()\n\n\ndef test_get_next_version_no_first_version(monkeypatch, mock_session):\n    \"\"\"Test getting next version number when no versions exist\"\"\"\n    session, query = mock_session\n    \n    mock_filter = MagicMock()\n    mock_filter.scalar = lambda: None  # No max version\n    query.filter.return_value = mock_filter\n    \n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    # Mock the functions directly in the imported module\n    # This is needed because agent_version_db imports get_db_session and as_dict at module level\n    monkeypatch.setattr(agent_version_db_module, \"get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(agent_version_db_module, \"as_dict\", mock_as_dict)\n    \n    result = get_next_version_no(agent_id=1, tenant_id=\"tenant1\")\n    \n    assert result == 1  # Should be 0 + 1\n\n\ndef test_get_next_version_no_existing_versions(monkeypatch, mock_session):\n    \"\"\"Test getting next version number when versions exist\"\"\"\n    session, query = mock_session\n    \n    mock_filter = MagicMock()\n    mock_filter.scalar = lambda: 5  # Max version is 5\n    query.filter.return_value = mock_filter\n    \n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    # Mock the functions directly in the imported module\n    # This is needed because agent_version_db imports get_db_session and as_dict at module level\n    monkeypatch.setattr(agent_version_db_module, \"get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(agent_version_db_module, \"as_dict\", mock_as_dict)\n    \n    result = get_next_version_no(agent_id=1, tenant_id=\"tenant1\")\n    \n    assert result == 6  # Should be 5 + 1\n\n\ndef test_delete_version_success(monkeypatch, mock_session):\n    \"\"\"Test successfully deleting a version\"\"\"\n    session, query = mock_session\n    \n    mock_result = MagicMock()\n    mock_result.rowcount = 1\n    session.execute.return_value = mock_result\n    \n    # Mock SQLAlchemy update to avoid ArgumentError (delete uses update)\n    mock_sqlalchemy_update(monkeypatch)\n    \n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    # Mock the functions directly in the imported module\n    # This is needed because agent_version_db imports get_db_session and as_dict at module level\n    monkeypatch.setattr(agent_version_db_module, \"get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(agent_version_db_module, \"as_dict\", mock_as_dict)\n    \n    result = delete_version(\n        agent_id=1,\n        tenant_id=\"tenant1\",\n        version_no=1,\n        deleted_by=\"user1\",\n    )\n    \n    assert result == 1\n    session.execute.assert_called_once()\n\n\ndef test_delete_version_not_found(monkeypatch, mock_session):\n    \"\"\"Test deleting a version that doesn't exist\"\"\"\n    session, query = mock_session\n    \n    mock_result = MagicMock()\n    mock_result.rowcount = 0\n    session.execute.return_value = mock_result\n    \n    # Mock SQLAlchemy update to avoid ArgumentError (delete uses update)\n    mock_sqlalchemy_update(monkeypatch)\n    \n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    # Mock the functions directly in the imported module\n    # This is needed because agent_version_db imports get_db_session and as_dict at module level\n    monkeypatch.setattr(agent_version_db_module, \"get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(agent_version_db_module, \"as_dict\", mock_as_dict)\n    \n    result = delete_version(\n        agent_id=999,\n        tenant_id=\"tenant1\",\n        version_no=999,\n        deleted_by=\"user1\",\n    )\n\n    assert result == 0\n\n\ndef test_update_version_success(monkeypatch, mock_session):\n    \"\"\"Test successfully updating version metadata\"\"\"\n    session, query = mock_session\n\n    mock_result = MagicMock()\n    mock_result.rowcount = 1\n    session.execute.return_value = mock_result\n\n    # Mock SQLAlchemy update to avoid ArgumentError\n    mock_sqlalchemy_update(monkeypatch)\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    # Mock the functions directly in the imported module\n    # This is needed because agent_version_db imports get_db_session and as_dict at module level\n    monkeypatch.setattr(agent_version_db_module, \"get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(agent_version_db_module, \"as_dict\", mock_as_dict)\n\n    result = update_version(\n        agent_id=1,\n        tenant_id=\"tenant1\",\n        version_no=1,\n        version_name=\"Updated Version Name\",\n        release_note=\"Updated release note\",\n        updated_by=\"user1\",\n    )\n\n    assert result == 1\n    session.execute.assert_called_once()\n\n\ndef test_update_version_only_version_name(monkeypatch, mock_session):\n    \"\"\"Test updating version with only version_name\"\"\"\n    session, query = mock_session\n\n    mock_result = MagicMock()\n    mock_result.rowcount = 1\n    session.execute.return_value = mock_result\n\n    # Mock SQLAlchemy update to avoid ArgumentError\n    mock_sqlalchemy_update(monkeypatch)\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(agent_version_db_module, \"get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(agent_version_db_module, \"as_dict\", mock_as_dict)\n\n    result = update_version(\n        agent_id=1,\n        tenant_id=\"tenant1\",\n        version_no=1,\n        version_name=\"New Version Name\",\n    )\n\n    assert result == 1\n    session.execute.assert_called_once()\n\n\ndef test_update_version_only_release_note(monkeypatch, mock_session):\n    \"\"\"Test updating version with only release_note\"\"\"\n    session, query = mock_session\n\n    mock_result = MagicMock()\n    mock_result.rowcount = 1\n    session.execute.return_value = mock_result\n\n    # Mock SQLAlchemy update to avoid ArgumentError\n    mock_sqlalchemy_update(monkeypatch)\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(agent_version_db_module, \"get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(agent_version_db_module, \"as_dict\", mock_as_dict)\n\n    result = update_version(\n        agent_id=1,\n        tenant_id=\"tenant1\",\n        version_no=1,\n        release_note=\"New release note\",\n    )\n\n    assert result == 1\n    session.execute.assert_called_once()\n\n\ndef test_update_version_no_changes(monkeypatch, mock_session):\n    \"\"\"Test updating version with no changes (all None values)\"\"\"\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = MagicMock()\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(agent_version_db_module, \"get_db_session\", lambda: mock_ctx)\n\n    result = update_version(\n        agent_id=1,\n        tenant_id=\"tenant1\",\n        version_no=1,\n    )\n\n    assert result == 0\n\n\ndef test_update_version_not_found(monkeypatch, mock_session):\n    \"\"\"Test updating version that doesn't exist\"\"\"\n    session, query = mock_session\n\n    mock_result = MagicMock()\n    mock_result.rowcount = 0\n    session.execute.return_value = mock_result\n\n    # Mock SQLAlchemy update to avoid ArgumentError\n    mock_sqlalchemy_update(monkeypatch)\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(agent_version_db_module, \"get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(agent_version_db_module, \"as_dict\", mock_as_dict)\n\n    result = update_version(\n        agent_id=999,\n        tenant_id=\"tenant1\",\n        version_no=999,\n        version_name=\"Non-existent version\",\n    )\n\n    assert result == 0\n"
  },
  {
    "path": "test/backend/database/test_attachment_db.py",
    "content": "\"\"\"\nUnit tests for backend/database/attachment_db.py\nTests attachment database utility functions\n\"\"\"\n\nimport os\nimport sys\nimport pytest\nfrom unittest.mock import MagicMock, patch, mock_open, call\nfrom io import BytesIO\nfrom datetime import datetime\n\n# Add project root to Python path\nsys.path.insert(0, os.path.abspath(os.path.join(\n    os.path.dirname(__file__), '..', '..', '..')))\n\n# Mock consts module\nconsts_mock = MagicMock()\nconsts_mock.const = MagicMock()\n# Environment variables are now configured in conftest.py\n\nsys.modules['consts'] = consts_mock\nsys.modules['consts.const'] = consts_mock.const\n\n# Mock boto3\nboto3_mock = MagicMock()\nsys.modules['boto3'] = boto3_mock\n\n# Mock minio module\nminio_mock = MagicMock()\nminio_commonconfig_mock = MagicMock()\nminio_commonconfig_mock.CopySource = MagicMock()\nminio_mock.commonconfig = minio_commonconfig_mock\nsys.modules['minio'] = minio_mock\nsys.modules['minio.commonconfig'] = minio_commonconfig_mock\n\n# Mock nexent.storage modules\nnexent_mock = MagicMock()\nnexent_storage_mock = MagicMock()\nnexent_storage_factory_mock = MagicMock()\nstorage_client_mock = MagicMock()\nnexent_storage_factory_mock.create_storage_client_from_config = MagicMock(return_value=storage_client_mock)\nnexent_storage_factory_mock.MinIOStorageConfig = MagicMock()\nnexent_storage_mock.storage_client_factory = nexent_storage_factory_mock\nnexent_mock.storage = nexent_storage_mock\nsys.modules['nexent'] = nexent_mock\nsys.modules['nexent.storage'] = nexent_storage_mock\nsys.modules['nexent.storage.storage_client_factory'] = nexent_storage_factory_mock\n\n# Mock database.client\nminio_client_mock = MagicMock()\nminio_client_mock.storage_config = MagicMock()\nminio_client_mock.storage_config.default_bucket = 'test-bucket'\nclient_mock = MagicMock()\nclient_mock.minio_client = minio_client_mock\nsys.modules['database'] = MagicMock()\nsys.modules['database.client'] = client_mock\nsys.modules['backend.database.client'] = client_mock\n\n# Patch minio_client before importing\nwith patch('backend.database.attachment_db.minio_client', minio_client_mock):\n    from backend.database.attachment_db import (\n        generate_object_name,\n        upload_file,\n        upload_fileobj,\n        download_file,\n        get_file_url,\n        get_file_size_from_minio,\n        file_exists,\n        copy_file,\n        list_files,\n        delete_file,\n        get_file_stream,\n        get_content_type\n    )\n\n\nclass TestGenerateObjectName:\n    \"\"\"Test cases for generate_object_name function\"\"\"\n\n    def test_generate_object_name_with_default_prefix(self):\n        \"\"\"Test generate_object_name with default prefix\"\"\"\n        result = generate_object_name('test.txt')\n        \n        assert result.startswith('attachments/')\n        assert result.endswith('.txt')\n        assert len(result) > len('attachments/.txt')\n\n    def test_generate_object_name_with_custom_prefix(self):\n        \"\"\"Test generate_object_name with custom prefix\"\"\"\n        result = generate_object_name('test.jpg', prefix='images')\n        \n        assert result.startswith('images/')\n        assert result.endswith('.jpg')\n        assert len(result) > len('images/.jpg')\n\n    def test_generate_object_name_without_extension(self):\n        \"\"\"Test generate_object_name with file without extension\"\"\"\n        result = generate_object_name('testfile')\n        \n        assert result.startswith('attachments/')\n        assert not result.endswith('.')\n\n    def test_generate_object_name_unique(self):\n        \"\"\"Test generate_object_name generates unique names\"\"\"\n        name1 = generate_object_name('test.txt')\n        name2 = generate_object_name('test.txt')\n        \n        # Names should be different due to timestamp and UUID\n        assert name1 != name2\n\n    def test_generate_object_name_format(self):\n        \"\"\"Test generate_object_name format includes timestamp and UUID\"\"\"\n        result = generate_object_name('test.txt')\n        \n        parts = result.split('/')\n        assert len(parts) == 2\n        assert parts[0] == 'attachments'\n        \n        # Check format: timestamp_uuid.ext\n        filename_parts = parts[1].split('_')\n        assert len(filename_parts) >= 2\n\n\nclass TestUploadFile:\n    \"\"\"Test cases for upload_file function\"\"\"\n\n    @patch('backend.database.attachment_db.os.path.exists')\n    @patch('backend.database.attachment_db.os.path.getsize')\n    @patch('backend.database.attachment_db.os.path.basename')\n    def test_upload_file_success(self, mock_basename, mock_getsize, mock_exists):\n        \"\"\"Test successful file upload\"\"\"\n        mock_basename.return_value = 'test.txt'\n        mock_exists.return_value = True\n        mock_getsize.return_value = 1024\n        minio_client_mock.upload_file.return_value = (True, '/bucket/attachments/test.txt')\n        \n        result = upload_file('/path/to/test.txt', 'attachments/test.txt', 'bucket')\n        \n        assert result['success'] is True\n        assert result['object_name'] == 'attachments/test.txt'\n        assert result['file_name'] == 'test.txt'\n        assert result['file_size'] == 1024\n        assert 'url' in result\n        assert 'upload_time' in result\n        minio_client_mock.upload_file.assert_called_once_with(\n            '/path/to/test.txt', 'attachments/test.txt', 'bucket'\n        )\n\n    @patch('backend.database.attachment_db.os.path.exists')\n    @patch('backend.database.attachment_db.os.path.getsize')\n    @patch('backend.database.attachment_db.os.path.basename')\n    @patch('backend.database.attachment_db.generate_object_name')\n    def test_upload_file_auto_generate_object_name(self, mock_generate, mock_basename, mock_getsize, mock_exists):\n        \"\"\"Test upload_file auto-generates object name when not provided\"\"\"\n        mock_basename.return_value = 'test.txt'\n        mock_exists.return_value = True\n        mock_getsize.return_value = 1024\n        mock_generate.return_value = 'attachments/20240101120000_abc123.txt'\n        minio_client_mock.upload_file.return_value = (True, '/bucket/attachments/20240101120000_abc123.txt')\n        \n        result = upload_file('/path/to/test.txt', None, 'bucket')\n        \n        assert result['success'] is True\n        assert result['object_name'] == 'attachments/20240101120000_abc123.txt'\n        last_call = minio_client_mock.upload_file.call_args\n        assert last_call == call('/path/to/test.txt', 'attachments/20240101120000_abc123.txt', 'bucket')\n\n    @patch('backend.database.attachment_db.os.path.exists')\n    @patch('backend.database.attachment_db.os.path.getsize')\n    @patch('backend.database.attachment_db.os.path.basename')\n    def test_upload_file_failure(self, mock_basename, mock_getsize, mock_exists):\n        \"\"\"Test upload_file handles upload failure\"\"\"\n        mock_basename.return_value = 'test.txt'\n        mock_exists.return_value = True\n        mock_getsize.return_value = 1024\n        minio_client_mock.upload_file.return_value = (False, 'Upload failed')\n        \n        result = upload_file('/path/to/test.txt', 'attachments/test.txt', 'bucket')\n        \n        assert result['success'] is False\n        assert result['error'] == 'Upload failed'\n        assert 'url' not in result\n\n    @patch('backend.database.attachment_db.os.path.exists')\n    @patch('backend.database.attachment_db.os.path.getsize')\n    @patch('backend.database.attachment_db.os.path.basename')\n    def test_upload_file_nonexistent_file(self, mock_basename, mock_getsize, mock_exists):\n        \"\"\"Test upload_file with nonexistent file\"\"\"\n        mock_basename.return_value = 'test.txt'\n        mock_exists.return_value = False\n        mock_getsize.return_value = 0\n        minio_client_mock.upload_file.return_value = (True, '/bucket/attachments/test.txt')\n        \n        result = upload_file('/path/to/nonexistent.txt', 'attachments/test.txt', 'bucket')\n        \n        assert result['file_size'] == 0\n\n\nclass TestUploadFileobj:\n    \"\"\"Test cases for upload_fileobj function\"\"\"\n\n    @patch('backend.database.attachment_db.generate_object_name')\n    def test_upload_fileobj_success(self, mock_generate):\n        \"\"\"Test successful file object upload\"\"\"\n        mock_generate.return_value = 'attachments/20240101120000_abc123.txt'\n        minio_client_mock.upload_fileobj.return_value = (True, '/bucket/attachments/20240101120000_abc123.txt')\n        \n        file_obj = BytesIO(b'test data')\n        result = upload_fileobj(file_obj, 'test.txt', 'bucket', 'attachments')\n        \n        assert result['success'] is True\n        assert result['object_name'] == 'attachments/20240101120000_abc123.txt'\n        assert result['file_name'] == 'test.txt'\n        assert result['file_size'] == len(b'test data')\n        assert 'url' in result\n        assert 'upload_time' in result\n        mock_generate.assert_called_once_with('test.txt', prefix='attachments')\n        minio_client_mock.upload_fileobj.assert_called_once()\n\n    @patch('backend.database.attachment_db.generate_object_name')\n    def test_upload_fileobj_failure(self, mock_generate):\n        \"\"\"Test upload_fileobj handles upload failure\"\"\"\n        mock_generate.return_value = 'attachments/20240101120000_abc123.txt'\n        minio_client_mock.upload_fileobj.return_value = (False, 'Upload failed')\n        \n        file_obj = BytesIO(b'test data')\n        result = upload_fileobj(file_obj, 'test.txt', 'bucket')\n        \n        assert result['success'] is False\n        assert result['error'] == 'Upload failed'\n        assert 'url' not in result\n\n    @patch('backend.database.attachment_db.generate_object_name')\n    def test_upload_fileobj_preserves_file_position(self, mock_generate):\n        \"\"\"Test upload_fileobj preserves original file position\"\"\"\n        mock_generate.return_value = 'attachments/test.txt'\n        minio_client_mock.upload_fileobj.return_value = (True, '/bucket/attachments/test.txt')\n        \n        file_obj = BytesIO(b'test data')\n        original_pos = 4\n        file_obj.seek(original_pos)\n        \n        result = upload_fileobj(file_obj, 'test.txt', 'bucket')\n        \n        # File position should be restored\n        assert file_obj.tell() == original_pos\n\n\nclass TestDownloadFile:\n    \"\"\"Test cases for download_file function\"\"\"\n\n    def test_download_file_success(self):\n        \"\"\"Test successful file download\"\"\"\n        minio_client_mock.download_file.return_value = (True, 'Downloaded successfully')\n        \n        result = download_file('attachments/test.txt', '/path/to/download.txt', 'bucket')\n        \n        assert result['success'] is True\n        assert result['object_name'] == 'attachments/test.txt'\n        assert result['file_path'] == '/path/to/download.txt'\n        assert 'error' not in result\n        minio_client_mock.download_file.assert_called_once_with(\n            'attachments/test.txt', '/path/to/download.txt', 'bucket'\n        )\n\n    def test_download_file_failure(self):\n        \"\"\"Test download_file handles download failure\"\"\"\n        minio_client_mock.download_file.return_value = (False, 'Download failed')\n        \n        result = download_file('attachments/test.txt', '/path/to/download.txt', 'bucket')\n        \n        assert result['success'] is False\n        assert result['error'] == 'Download failed'\n\n\nclass TestGetFileUrl:\n    \"\"\"Test cases for get_file_url function\"\"\"\n\n    def test_get_file_url_success(self):\n        \"\"\"Test successful presigned URL generation\"\"\"\n        minio_client_mock.get_file_url.return_value = (True, 'http://example.com/presigned-url')\n        \n        result = get_file_url('attachments/test.txt', 'bucket', 7200)\n        \n        assert result['success'] is True\n        assert result['url'] == 'http://example.com/presigned-url'\n        assert result['object_name'] == 'attachments/test.txt'\n        assert result['expires_in'] == 7200\n        assert 'error' not in result\n        minio_client_mock.get_file_url.assert_called_once_with(\n            'attachments/test.txt', 'bucket', 7200\n        )\n\n    def test_get_file_url_failure(self):\n        \"\"\"Test get_file_url handles URL generation failure\"\"\"\n        minio_client_mock.get_file_url.return_value = (False, 'URL generation failed')\n        \n        result = get_file_url('attachments/test.txt', 'bucket', 7200)\n        \n        assert result['success'] is False\n        assert result['error'] == 'URL generation failed'\n\n\nclass TestGetFileSizeFromMinio:\n    \"\"\"Test cases for get_file_size_from_minio function\"\"\"\n\n    def test_get_file_size_from_minio_success(self):\n        \"\"\"Test successful file size retrieval\"\"\"\n        minio_client_mock.get_file_size.return_value = 1024\n        \n        size = get_file_size_from_minio('attachments/test.txt', 'bucket')\n        \n        assert size == 1024\n        minio_client_mock.get_file_size.assert_called_once_with('attachments/test.txt', 'bucket')\n\n    def test_get_file_size_from_minio_uses_default_bucket(self):\n        \"\"\"Test get_file_size_from_minio uses default bucket when not specified\"\"\"\n        minio_client_mock.get_file_size.return_value = 2048\n        \n        size = get_file_size_from_minio('attachments/test.txt')\n        \n        assert size == 2048\n        assert minio_client_mock.get_file_size.call_args_list[-1] == call(\n            'attachments/test.txt', 'test-bucket'\n        )\n\n\nclass TestListFiles:\n    \"\"\"Test cases for list_files function\"\"\"\n\n    def test_list_files_success(self):\n        \"\"\"Test successful file listing\"\"\"\n        from datetime import datetime\n        mock_files = [\n            {\n                'key': 'attachments/file1.txt',\n                'size': 100,\n                'last_modified': datetime(2024, 1, 1)\n            },\n            {\n                'key': 'attachments/file2.txt',\n                'size': 200,\n                'last_modified': datetime(2024, 1, 2)\n            }\n        ]\n        minio_client_mock.list_files.return_value = mock_files\n        minio_client_mock.get_file_url.return_value = (True, 'http://example.com/file1.txt')\n        \n        files = list_files('attachments/', 'bucket')\n        \n        assert len(files) == 2\n        assert files[0]['key'] == 'attachments/file1.txt'\n        assert files[0]['size'] == 100\n        assert 'content_type' in files[0]\n        assert 'url' in files[0]\n        minio_client_mock.list_files.assert_called_once_with('attachments/', 'bucket')\n\n    def test_list_files_empty(self):\n        \"\"\"Test list_files with empty result\"\"\"\n        minio_client_mock.list_files.return_value = []\n        \n        files = list_files('attachments/', 'bucket')\n        \n        assert files == []\n\n    def test_list_files_url_generation_failure(self):\n        \"\"\"Test list_files handles URL generation failure\"\"\"\n        from datetime import datetime\n        mock_files = [\n            {\n                'key': 'attachments/file1.txt',\n                'size': 100,\n                'last_modified': datetime(2024, 1, 1)\n            }\n        ]\n        minio_client_mock.list_files.return_value = mock_files\n        minio_client_mock.get_file_url.return_value = (False, 'URL generation failed')\n        \n        files = list_files('attachments/', 'bucket')\n        \n        assert len(files) == 1\n        assert 'url' not in files[0]\n\n\nclass TestDeleteFile:\n    \"\"\"Test cases for delete_file function\"\"\"\n\n    def test_delete_file_success(self):\n        \"\"\"Test successful file deletion\"\"\"\n        minio_client_mock.delete_file.return_value = (True, 'Deleted successfully')\n        \n        result = delete_file('attachments/test.txt', 'bucket')\n        \n        assert result['success'] is True\n        assert result['object_name'] == 'attachments/test.txt'\n        assert 'error' not in result\n        minio_client_mock.delete_file.assert_called_once_with('attachments/test.txt', 'bucket')\n\n    def test_delete_file_uses_default_bucket(self):\n        \"\"\"Test delete_file uses default bucket when not specified\"\"\"\n        minio_client_mock.delete_file.return_value = (True, 'Deleted successfully')\n        \n        result = delete_file('attachments/test.txt')\n        \n        assert result['success'] is True\n        assert minio_client_mock.delete_file.call_args_list[-1] == call(\n            'attachments/test.txt', 'test-bucket'\n        )\n\n    def test_delete_file_failure(self):\n        \"\"\"Test delete_file handles deletion failure\"\"\"\n        minio_client_mock.delete_file.return_value = (False, 'Delete failed')\n        \n        result = delete_file('attachments/test.txt', 'bucket')\n        \n        assert result['success'] is False\n        assert result['error'] == 'Delete failed'\n\n\nclass TestGetFileStream:\n    \"\"\"Test cases for get_file_stream function\"\"\"\n\n    def test_get_file_stream_success(self):\n        \"\"\"Test successful file stream retrieval\"\"\"\n        mock_stream = BytesIO(b'test data')\n        minio_client_mock.get_file_stream.return_value = (True, mock_stream)\n        \n        result = get_file_stream('attachments/test.txt', 'bucket')\n        \n        assert result is not None\n        assert isinstance(result, BytesIO)\n        assert result.read() == b'test data'\n        minio_client_mock.get_file_stream.assert_called_once_with('attachments/test.txt', 'bucket')\n\n    def test_get_file_stream_failure(self):\n        \"\"\"Test get_file_stream returns None on failure\"\"\"\n        minio_client_mock.get_file_stream.return_value = (False, 'Stream failed')\n        \n        result = get_file_stream('attachments/test.txt', 'bucket')\n        \n        assert result is None\n\n    def test_get_file_stream_read_error(self):\n        \"\"\"Test get_file_stream handles read errors\"\"\"\n        mock_stream = MagicMock()\n        mock_stream.read.side_effect = Exception(\"Read error\")\n        minio_client_mock.get_file_stream.return_value = (True, mock_stream)\n        \n        result = get_file_stream('attachments/test.txt', 'bucket')\n        \n        assert result is None\n\n\nclass TestGetContentType:\n    \"\"\"Test cases for get_content_type function\"\"\"\n\n    def test_get_content_type_jpeg(self):\n        \"\"\"Test get_content_type for JPEG files\"\"\"\n        assert get_content_type('test.jpg') == 'image/jpeg'\n        assert get_content_type('test.JPEG') == 'image/jpeg'\n\n    def test_get_content_type_png(self):\n        \"\"\"Test get_content_type for PNG files\"\"\"\n        assert get_content_type('test.png') == 'image/png'\n\n    def test_get_content_type_pdf(self):\n        \"\"\"Test get_content_type for PDF files\"\"\"\n        assert get_content_type('test.pdf') == 'application/pdf'\n\n    def test_get_content_type_txt(self):\n        \"\"\"Test get_content_type for text files\"\"\"\n        assert get_content_type('test.txt') == 'text/plain'\n\n    def test_get_content_type_json(self):\n        \"\"\"Test get_content_type for JSON files\"\"\"\n        assert get_content_type('test.json') == 'application/json'\n\n    def test_get_content_type_unknown(self):\n        \"\"\"Test get_content_type for unknown file types\"\"\"\n        assert get_content_type('test.unknown') == 'application/octet-stream'\n\n    def test_get_content_type_no_extension(self):\n        \"\"\"Test get_content_type for files without extension\"\"\"\n        assert get_content_type('testfile') == 'application/octet-stream'\n\n    def test_get_content_type_with_path(self):\n        \"\"\"Test get_content_type with full file path\"\"\"\n        assert get_content_type('/path/to/test.jpg') == 'image/jpeg'\n        assert get_content_type('C:\\\\path\\\\to\\\\test.png') == 'image/png'\n\n    def test_get_content_type_case_insensitive(self):\n        \"\"\"Test get_content_type is case insensitive\"\"\"\n        assert get_content_type('test.JPG') == 'image/jpeg'\n        assert get_content_type('test.PNG') == 'image/png'\n        assert get_content_type('test.PDF') == 'application/pdf'\n\n\nclass TestFileExists:\n    \"\"\"Test cases for file_exists function\"\"\"\n\n    def test_file_exists_returns_true_when_file_exists(self):\n        \"\"\"Test file_exists returns True when file exists in bucket\"\"\"\n        with patch('backend.database.attachment_db.minio_client') as mock_client:\n            mock_client.file_exists.return_value = True\n            \n            result = file_exists('test/file.txt')\n            \n            assert result is True\n            mock_client.file_exists.assert_called_once_with('test/file.txt', None)\n\n    def test_file_exists_returns_false_when_file_not_exists(self):\n        \"\"\"Test file_exists returns False when file does not exist\"\"\"\n        with patch('backend.database.attachment_db.minio_client') as mock_client:\n            mock_client.file_exists.return_value = False\n            \n            result = file_exists('nonexistent/file.txt')\n            \n            assert result is False\n            mock_client.file_exists.assert_called_once_with('nonexistent/file.txt', None)\n\n    def test_file_exists_with_custom_bucket(self):\n        \"\"\"Test file_exists with custom bucket parameter\"\"\"\n        with patch('backend.database.attachment_db.minio_client') as mock_client:\n            mock_client.file_exists.return_value = True\n            \n            result = file_exists('test/file.txt', bucket='custom-bucket')\n            \n            assert result is True\n            mock_client.file_exists.assert_called_once_with('test/file.txt', 'custom-bucket')\n\n    def test_file_exists_handles_any_exception(self):\n        \"\"\"Test file_exists handles any exception and returns False\"\"\"\n        with patch('backend.database.attachment_db.minio_client') as mock_client:\n            mock_client.file_exists.side_effect = RuntimeError('Connection failed')\n            \n            result = file_exists('test/file.txt')\n            \n            assert result is False\n            mock_client.file_exists.assert_called_once_with('test/file.txt', None)\n\n\nclass TestCopyFile:\n    \"\"\"Test cases for copy_file function\"\"\"\n\n    def test_copy_file_success(self):\n        \"\"\"Test successful file copy\"\"\"\n        with patch('backend.database.attachment_db.minio_client') as mock_client:\n            mock_client.copy_file.return_value = (True, 'dest/file.pdf')\n            \n            result = copy_file('source/file.pdf', 'dest/file.pdf')\n            \n            assert result['success'] is True\n            assert result['object_name'] == 'dest/file.pdf'\n            mock_client.copy_file.assert_called_once_with('source/file.pdf', 'dest/file.pdf', None)\n\n    def test_copy_file_with_custom_bucket(self):\n        \"\"\"Test copy_file with custom bucket\"\"\"\n        with patch('backend.database.attachment_db.minio_client') as mock_client:\n            mock_client.copy_file.return_value = (True, 'dest/file.pdf')\n            \n            result = copy_file('source/file.pdf', 'dest/file.pdf', bucket='custom-bucket')\n            \n            assert result['success'] is True\n            mock_client.copy_file.assert_called_once_with('source/file.pdf', 'dest/file.pdf', 'custom-bucket')\n\n    def test_copy_file_failure(self):\n        \"\"\"Test copy_file handles errors\"\"\"\n        with patch('backend.database.attachment_db.minio_client') as mock_client:\n            mock_client.copy_file.return_value = (False, 'Copy failed')\n            \n            result = copy_file('source/file.pdf', 'dest/file.pdf')\n            \n            assert result['success'] is False\n            assert 'Copy failed' in result['error']\n\n"
  },
  {
    "path": "test/backend/database/test_client.py",
    "content": "\"\"\"\nUnit tests for backend/database/client.py\nTests PostgresClient, MinioClient, and utility functions\n\"\"\"\n\nimport os\nimport sys\nimport pytest\nfrom unittest.mock import MagicMock, patch, Mock\nfrom contextlib import contextmanager\n\n# Add project root to Python path\nsys.path.insert(0, os.path.abspath(os.path.join(\n    os.path.dirname(__file__), '..', '..', '..')))\n\n# Mock consts module\nconsts_mock = MagicMock()\nconsts_mock.const = MagicMock()\n# Environment variables are now configured in conftest.py\n\nsys.modules['consts'] = consts_mock\nsys.modules['consts.const'] = consts_mock.const\n\n# Mock boto3\nboto3_mock = MagicMock()\nsys.modules['boto3'] = boto3_mock\n\n# Mock nexent.storage modules\nnexent_mock = MagicMock()\nnexent_storage_mock = MagicMock()\nnexent_storage_factory_mock = MagicMock()\nstorage_client_mock = MagicMock()\nnexent_storage_factory_mock.create_storage_client_from_config = MagicMock(\n    return_value=storage_client_mock)\nnexent_storage_factory_mock.MinIOStorageConfig = MagicMock()\nnexent_storage_mock.storage_client_factory = nexent_storage_factory_mock\nnexent_mock.storage = nexent_storage_mock\nsys.modules['nexent'] = nexent_mock\nsys.modules['nexent.storage'] = nexent_storage_mock\nsys.modules['nexent.storage.storage_client_factory'] = nexent_storage_factory_mock\n\n# Mock database.db_models\ndb_models_mock = MagicMock()\ndb_models_mock.TableBase = MagicMock()\nsys.modules['database'] = MagicMock()\nsys.modules['database.db_models'] = db_models_mock\nsys.modules['backend.database.db_models'] = db_models_mock\n\n# Mock sqlalchemy\nsqlalchemy_mock = MagicMock()\nsys.modules['sqlalchemy'] = sqlalchemy_mock\nsys.modules['sqlalchemy.orm'] = MagicMock()\nsys.modules['sqlalchemy.orm.class_mapper'] = MagicMock()\nsys.modules['sqlalchemy.orm.sessionmaker'] = MagicMock()\n\n# Mock psycopg2\nsys.modules['psycopg2'] = MagicMock()\nsys.modules['psycopg2.extensions'] = MagicMock()\n\n# Patch storage factory before importing\nwith patch('nexent.storage.storage_client_factory.create_storage_client_from_config', return_value=storage_client_mock), \\\n        patch('nexent.storage.storage_client_factory.MinIOStorageConfig'):\n    from backend.database.client import (\n        PostgresClient,\n        MinioClient,\n        db_client,\n        minio_client,\n        get_db_session,\n        as_dict,\n        filter_property\n    )\n\n\nclass TestPostgresClient:\n    \"\"\"Test cases for PostgresClient class\"\"\"\n\n    def test_postgres_client_init(self, mocker):\n        \"\"\"Test PostgresClient initialization\"\"\"\n        # Reset singleton instance\n        PostgresClient._instance = None\n\n        # Patch the constants\n        mocker.patch('backend.database.client.POSTGRES_HOST', 'localhost')\n        mocker.patch('backend.database.client.POSTGRES_USER', 'test_user')\n        mocker.patch(\n            'backend.database.client.NEXENT_POSTGRES_PASSWORD', 'test_password')\n        mocker.patch('backend.database.client.POSTGRES_DB', 'test_db')\n        mocker.patch('backend.database.client.POSTGRES_PORT', 5432)\n\n        # Mock the SQLAlchemy functions\n        mock_engine = MagicMock()\n        mock_create_engine = mocker.patch(\n            'backend.database.client.create_engine', return_value=mock_engine)\n        mock_session = MagicMock()\n        mock_sessionmaker = mocker.patch(\n            'backend.database.client.sessionmaker', return_value=mock_session)\n\n        client = PostgresClient()\n\n        assert client.host == 'localhost'\n        assert client.user == 'test_user'\n        assert client.password == 'test_password'\n        assert client.database == 'test_db'\n        assert client.port == 5432\n        mock_create_engine.assert_called_once()\n        mock_sessionmaker.assert_called_once_with(bind=mock_engine)\n\n    def test_postgres_client_singleton(self):\n        \"\"\"Test PostgresClient is a singleton\"\"\"\n        # Reset singleton instance\n        PostgresClient._instance = None\n\n        client1 = PostgresClient()\n        client2 = PostgresClient()\n\n        assert client1 is client2\n\n    def test_clean_string_values(self):\n        \"\"\"Test clean_string_values static method\"\"\"\n        data = {\n            'str1': 'test string',\n            'str2': 'another string',\n            'int1': 123,\n            'list1': [1, 2, 3],\n            'dict1': {'key': 'value'}\n        }\n\n        result = PostgresClient.clean_string_values(data)\n\n        assert result['str1'] == 'test string'\n        assert result['str2'] == 'another string'\n        assert result['int1'] == 123\n        assert result['list1'] == [1, 2, 3]\n        assert result['dict1'] == {'key': 'value'}\n\n    def test_clean_string_values_with_unicode(self):\n        \"\"\"Test clean_string_values handles unicode strings\"\"\"\n        data = {\n            'unicode_str': '测试字符串',\n            'normal_str': 'normal string'\n        }\n\n        result = PostgresClient.clean_string_values(data)\n\n        assert result['unicode_str'] == '测试字符串'\n        assert result['normal_str'] == 'normal string'\n\n\nclass TestMinioClient:\n    \"\"\"Test cases for MinioClient class\"\"\"\n\n    @patch('backend.database.client.create_storage_client_from_config')\n    @patch('backend.database.client.MinIOStorageConfig')\n    def test_minio_client_init(self, mock_config_class, mock_create_client):\n        \"\"\"Test MinioClient initialization\"\"\"\n        # Reset singleton instance\n        MinioClient._instance = None\n\n        mock_config = MagicMock()\n        mock_config.default_bucket = 'test-bucket'\n        mock_config_class.return_value = mock_config\n        mock_storage_client = MagicMock()\n        mock_create_client.return_value = mock_storage_client\n\n        client = MinioClient()\n\n        assert client.storage_config == mock_config\n        assert client._storage_client == mock_storage_client\n        mock_config_class.assert_called_once()\n        mock_create_client.assert_called_once_with(mock_config)\n\n    def test_minio_client_singleton(self):\n        \"\"\"Test MinioClient is a singleton\"\"\"\n        # Reset singleton instance\n        MinioClient._instance = None\n\n        with patch('backend.database.client.create_storage_client_from_config'), \\\n                patch('backend.database.client.MinIOStorageConfig'):\n            client1 = MinioClient()\n            client2 = MinioClient()\n\n            assert client1 is client2\n\n    @patch('backend.database.client.create_storage_client_from_config')\n    @patch('backend.database.client.MinIOStorageConfig')\n    def test_minio_client_upload_file(self, mock_config_class, mock_create_client):\n        \"\"\"Test MinioClient.upload_file delegates to storage client\"\"\"\n        MinioClient._instance = None\n\n        mock_storage_client = MagicMock()\n        mock_storage_client.upload_file.return_value = (\n            True, '/bucket/file.txt')\n        mock_create_client.return_value = mock_storage_client\n        mock_config_class.return_value = MagicMock()\n\n        client = MinioClient()\n        success, result = client.upload_file(\n            '/path/to/file.txt', 'file.txt', 'bucket')\n\n        assert success is True\n        assert result == '/bucket/file.txt'\n        mock_storage_client.upload_file.assert_called_once_with(\n            '/path/to/file.txt', 'file.txt', 'bucket')\n\n    @patch('backend.database.client.create_storage_client_from_config')\n    @patch('backend.database.client.MinIOStorageConfig')\n    def test_minio_client_upload_fileobj(self, mock_config_class, mock_create_client):\n        \"\"\"Test MinioClient.upload_fileobj delegates to storage client\"\"\"\n        MinioClient._instance = None\n\n        from io import BytesIO\n        mock_storage_client = MagicMock()\n        mock_storage_client.upload_fileobj.return_value = (\n            True, '/bucket/file.txt')\n        mock_create_client.return_value = mock_storage_client\n        mock_config_class.return_value = MagicMock()\n\n        client = MinioClient()\n        file_obj = BytesIO(b'test data')\n        success, result = client.upload_fileobj(file_obj, 'file.txt', 'bucket')\n\n        assert success is True\n        assert result == '/bucket/file.txt'\n        mock_storage_client.upload_fileobj.assert_called_once_with(\n            file_obj, 'file.txt', 'bucket')\n\n    @patch('backend.database.client.create_storage_client_from_config')\n    @patch('backend.database.client.MinIOStorageConfig')\n    def test_minio_client_download_file(self, mock_config_class, mock_create_client):\n        \"\"\"Test MinioClient.download_file delegates to storage client\"\"\"\n        MinioClient._instance = None\n\n        mock_storage_client = MagicMock()\n        mock_storage_client.download_file.return_value = (\n            True, 'Downloaded successfully')\n        mock_create_client.return_value = mock_storage_client\n        mock_config_class.return_value = MagicMock()\n\n        client = MinioClient()\n        success, result = client.download_file(\n            'file.txt', '/path/to/download.txt', 'bucket')\n\n        assert success is True\n        assert result == 'Downloaded successfully'\n        mock_storage_client.download_file.assert_called_once_with(\n            'file.txt', '/path/to/download.txt', 'bucket')\n\n    @patch('backend.database.client.create_storage_client_from_config')\n    @patch('backend.database.client.MinIOStorageConfig')\n    def test_minio_client_get_file_url(self, mock_config_class, mock_create_client):\n        \"\"\"Test MinioClient.get_file_url delegates to storage client\"\"\"\n        MinioClient._instance = None\n\n        mock_storage_client = MagicMock()\n        mock_storage_client.get_file_url.return_value = (\n            True, 'http://example.com/file.txt')\n        mock_create_client.return_value = mock_storage_client\n        mock_config_class.return_value = MagicMock()\n\n        client = MinioClient()\n        success, result = client.get_file_url('file.txt', 'bucket', 7200)\n\n        assert success is True\n        assert result == 'http://example.com/file.txt'\n        mock_storage_client.get_file_url.assert_called_once_with(\n            'file.txt', 'bucket', 7200)\n\n    @patch('backend.database.client.create_storage_client_from_config')\n    @patch('backend.database.client.MinIOStorageConfig')\n    def test_minio_client_get_file_size(self, mock_config_class, mock_create_client):\n        \"\"\"Test MinioClient.get_file_size delegates to storage client\"\"\"\n        MinioClient._instance = None\n\n        mock_storage_client = MagicMock()\n        mock_storage_client.get_file_size.return_value = 1024\n        mock_create_client.return_value = mock_storage_client\n        mock_config_class.return_value = MagicMock()\n\n        client = MinioClient()\n        size = client.get_file_size('file.txt', 'bucket')\n\n        assert size == 1024\n        mock_storage_client.get_file_size.assert_called_once_with(\n            'file.txt', 'bucket')\n\n    @patch('backend.database.client.create_storage_client_from_config')\n    @patch('backend.database.client.MinIOStorageConfig')\n    def test_minio_client_list_files(self, mock_config_class, mock_create_client):\n        \"\"\"Test MinioClient.list_files delegates to storage client\"\"\"\n        MinioClient._instance = None\n\n        mock_storage_client = MagicMock()\n        mock_storage_client.list_files.return_value = [\n            {'key': 'file1.txt', 'size': 100},\n            {'key': 'file2.txt', 'size': 200}\n        ]\n        mock_create_client.return_value = mock_storage_client\n        mock_config_class.return_value = MagicMock()\n\n        client = MinioClient()\n        files = client.list_files('prefix/', 'bucket')\n\n        assert len(files) == 2\n        assert files[0]['key'] == 'file1.txt'\n        mock_storage_client.list_files.assert_called_once_with(\n            'prefix/', 'bucket')\n\n    @patch('backend.database.client.create_storage_client_from_config')\n    @patch('backend.database.client.MinIOStorageConfig')\n    def test_minio_client_delete_file(self, mock_config_class, mock_create_client):\n        \"\"\"Test MinioClient.delete_file delegates to storage client\"\"\"\n        MinioClient._instance = None\n\n        mock_storage_client = MagicMock()\n        mock_storage_client.delete_file.return_value = (\n            True, 'Deleted successfully')\n        mock_create_client.return_value = mock_storage_client\n        mock_config_class.return_value = MagicMock()\n\n        client = MinioClient()\n        success, result = client.delete_file('file.txt', 'bucket')\n\n        assert success is True\n        assert result == 'Deleted successfully'\n        mock_storage_client.delete_file.assert_called_once_with(\n            'file.txt', 'bucket')\n\n    @patch('backend.database.client.create_storage_client_from_config')\n    @patch('backend.database.client.MinIOStorageConfig')\n    def test_minio_client_get_file_stream(self, mock_config_class, mock_create_client):\n        \"\"\"Test MinioClient.get_file_stream delegates to storage client\"\"\"\n        MinioClient._instance = None\n\n        from io import BytesIO\n        mock_storage_client = MagicMock()\n        mock_stream = BytesIO(b'test data')\n        mock_storage_client.get_file_stream.return_value = (True, mock_stream)\n        mock_create_client.return_value = mock_storage_client\n        mock_config_class.return_value = MagicMock()\n\n        client = MinioClient()\n        success, result = client.get_file_stream('file.txt', 'bucket')\n\n        assert success is True\n        assert result == mock_stream\n        mock_storage_client.get_file_stream.assert_called_once_with(\n            'file.txt', 'bucket')\n\n    @patch('backend.database.client.create_storage_client_from_config')\n    @patch('backend.database.client.MinIOStorageConfig')\n    def test_minio_client_file_exists_true(self, mock_config_class, mock_create_client):\n        \"\"\"Test MinioClient.file_exists returns True when file exists\"\"\"\n        MinioClient._instance = None\n\n        mock_storage_client = MagicMock()\n        mock_storage_client.exists.return_value = True\n        mock_create_client.return_value = mock_storage_client\n        mock_config_class.return_value = MagicMock()\n\n        client = MinioClient()\n        result = client.file_exists('file.txt', 'bucket')\n\n        assert result is True\n        mock_storage_client.exists.assert_called_once_with('file.txt', 'bucket')\n\n    @patch('backend.database.client.create_storage_client_from_config')\n    @patch('backend.database.client.MinIOStorageConfig')\n    def test_minio_client_file_exists_false(self, mock_config_class, mock_create_client):\n        \"\"\"Test MinioClient.file_exists returns False when file does not exist\"\"\"\n        MinioClient._instance = None\n\n        mock_storage_client = MagicMock()\n        mock_storage_client.exists.return_value = False\n        mock_create_client.return_value = mock_storage_client\n        mock_config_class.return_value = MagicMock()\n\n        client = MinioClient()\n        result = client.file_exists('file.txt', 'bucket')\n\n        assert result is False\n        mock_storage_client.exists.assert_called_once_with('file.txt', 'bucket')\n\n    @patch('backend.database.client.create_storage_client_from_config')\n    @patch('backend.database.client.MinIOStorageConfig')\n    def test_minio_client_copy_file_success(self, mock_config_class, mock_create_client):\n        \"\"\"Test MinioClient.copy_file successfully copies file\"\"\"\n        MinioClient._instance = None\n\n        mock_storage_client = MagicMock()\n        mock_storage_client.copy_file.return_value = (True, 'dest/file.pdf')\n        mock_create_client.return_value = mock_storage_client\n        mock_config = MagicMock()\n        mock_config.default_bucket = 'test-bucket'\n        mock_config_class.return_value = mock_config\n\n        client = MinioClient()\n        success, result = client.copy_file('source/file.pdf', 'dest/file.pdf', 'bucket')\n\n        assert success is True\n        assert result == 'dest/file.pdf'\n        mock_storage_client.copy_file.assert_called_once_with(\n            'source/file.pdf',\n            'dest/file.pdf',\n            'bucket'\n        )\n\n    @patch('backend.database.client.create_storage_client_from_config')\n    @patch('backend.database.client.MinIOStorageConfig')\n    def test_minio_client_copy_file_with_default_bucket(self, mock_config_class, mock_create_client):\n        \"\"\"Test MinioClient.copy_file uses default bucket when not specified\"\"\"\n        MinioClient._instance = None\n\n        mock_storage_client = MagicMock()\n        mock_storage_client.copy_file.return_value = (True, 'dest/file.pdf')\n        mock_create_client.return_value = mock_storage_client\n        mock_config = MagicMock()\n        mock_config.default_bucket = 'default-bucket'\n        mock_config_class.return_value = mock_config\n\n        client = MinioClient()\n        success, result = client.copy_file('source/file.pdf', 'dest/file.pdf')\n\n        assert success is True\n        assert result == 'dest/file.pdf'\n        mock_storage_client.copy_file.assert_called_once_with(\n            'source/file.pdf',\n            'dest/file.pdf',\n            None\n        )\n\n    @patch('backend.database.client.create_storage_client_from_config')\n    @patch('backend.database.client.MinIOStorageConfig')\n    def test_minio_client_copy_file_failure(self, mock_config_class, mock_create_client):\n        \"\"\"Test MinioClient.copy_file handles errors properly\"\"\"\n        MinioClient._instance = None\n\n        mock_storage_client = MagicMock()\n        mock_storage_client.copy_file.return_value = (False, 'Copy failed')\n        mock_create_client.return_value = mock_storage_client\n        mock_config = MagicMock()\n        mock_config.default_bucket = 'test-bucket'\n        mock_config_class.return_value = mock_config\n\n        client = MinioClient()\n        success, result = client.copy_file('source/file.pdf', 'dest/file.pdf')\n\n        assert success is False\n        assert 'Copy failed' in result\n\n\nclass TestGetDbSession:\n    \"\"\"Test cases for get_db_session context manager\"\"\"\n\n    def test_get_db_session_with_new_session(self):\n        \"\"\"Test get_db_session creates and manages a new session\"\"\"\n        mock_session = MagicMock()\n        mock_session_maker = MagicMock(return_value=mock_session)\n\n        # Mock db_client\n        with patch('backend.database.client.db_client') as mock_db_client:\n            mock_db_client.session_maker = mock_session_maker\n\n            with get_db_session() as session:\n                assert session == mock_session\n\n            mock_session_maker.assert_called_once()\n            mock_session.commit.assert_called_once()\n            mock_session.close.assert_called_once()\n\n    def test_get_db_session_with_existing_session(self):\n        \"\"\"Test get_db_session uses provided session\"\"\"\n        mock_session = MagicMock()\n\n        with get_db_session(mock_session) as session:\n            assert session == mock_session\n\n        # Should not commit or close when session is provided\n        mock_session.commit.assert_not_called()\n        mock_session.close.assert_not_called()\n\n    def test_get_db_session_rollback_on_exception(self):\n        \"\"\"Test get_db_session rolls back on exception\"\"\"\n        mock_session = MagicMock()\n        mock_session_maker = MagicMock(return_value=mock_session)\n\n        with patch('backend.database.client.db_client') as mock_db_client:\n            mock_db_client.session_maker = mock_session_maker\n\n            with pytest.raises(ValueError):\n                with get_db_session() as session:\n                    raise ValueError(\"Test error\")\n\n            mock_session.rollback.assert_called_once()\n            mock_session.close.assert_called_once()\n            mock_session.commit.assert_not_called()\n\n    def test_get_db_session_no_rollback_on_provided_session_exception(self):\n        \"\"\"Test get_db_session doesn't rollback provided session on exception\"\"\"\n        mock_session = MagicMock()\n\n        with pytest.raises(ValueError):\n            with get_db_session(mock_session):\n                raise ValueError(\"Test error\")\n\n        # Should not rollback or close when session is provided\n        mock_session.rollback.assert_not_called()\n        mock_session.close.assert_not_called()\n\n\nclass TestFilterProperty:\n    \"\"\"Test cases for filter_property function\"\"\"\n\n    def test_filter_property_filters_correctly(self):\n        \"\"\"Test filter_property filters data to match model columns\"\"\"\n        mock_model = MagicMock()\n        mock_model.__table__ = MagicMock()\n        mock_model.__table__.columns = MagicMock()\n        mock_model.__table__.columns.keys.return_value = [\n            'id', 'name', 'email']\n\n        data = {\n            'id': 1,\n            'name': 'test',\n            'email': 'test@example.com',\n            'extra_field': 'should be removed'\n        }\n\n        result = filter_property(data, mock_model)\n\n        assert 'id' in result\n        assert 'name' in result\n        assert 'email' in result\n        assert 'extra_field' not in result\n\n    def test_filter_property_empty_data(self):\n        \"\"\"Test filter_property with empty data\"\"\"\n        mock_model = MagicMock()\n        mock_model.__table__ = MagicMock()\n        mock_model.__table__.columns = MagicMock()\n        mock_model.__table__.columns.keys.return_value = ['id', 'name']\n\n        data = {}\n\n        result = filter_property(data, mock_model)\n\n        assert result == {}\n\n    def test_filter_property_no_matching_fields(self):\n        \"\"\"Test filter_property when no fields match\"\"\"\n        mock_model = MagicMock()\n        mock_model.__table__ = MagicMock()\n        mock_model.__table__.columns = MagicMock()\n        mock_model.__table__.columns.keys.return_value = ['id', 'name']\n\n        data = {\n            'other_field': 'value',\n            'another_field': 'value2'\n        }\n\n        result = filter_property(data, mock_model)\n\n        assert result == {}\n"
  },
  {
    "path": "test/backend/database/test_conversation_db.py",
    "content": "import sys\nimport types\nfrom unittest.mock import MagicMock\n\nimport pytest\n\n\n# Ensure backend imports resolve\nsys.path.insert(0, __import__(\"os\").path.join(__import__(\"os\").path.dirname(__file__), \"../../..\"))\n\n\n# Stub sqlalchemy with minimal API used by conversation_db\nsa_mod = types.ModuleType(\"sqlalchemy\")\nsa_mod.asc = MagicMock(name=\"asc\")\nsa_mod.desc = MagicMock(name=\"desc\")\nsa_mod.func = MagicMock(name=\"func\")\nsa_mod.insert = MagicMock(name=\"insert\")\nsa_mod.select = MagicMock(name=\"select\")\nsa_mod.update = MagicMock(name=\"update\")\nsys.modules[\"sqlalchemy\"] = sa_mod\n\n\n# Stub database.client\nclient_mod = types.ModuleType(\"database.client\")\nclient_mod.get_db_session = MagicMock(name=\"get_db_session\")\nclient_mod.as_dict = MagicMock(name=\"as_dict\")\n\n# Add db_client with clean_string_values method to the stub\nclient_mod.db_client = MagicMock(name=\"db_client\")\nsys.modules[\"database.client\"] = client_mod\nsys.modules[\"backend.database.client\"] = client_mod\n\n\n# Stub db_models with attributes referenced by the module\ndb_models_mod = types.ModuleType(\"database.db_models\")\n\nclass ConversationRecord:\n    conversation_id = MagicMock(name=\"ConversationRecord.conversation_id\")\n    conversation_title = MagicMock(name=\"ConversationRecord.conversation_title\")\n    create_time = MagicMock(name=\"ConversationRecord.create_time\")\n    update_time = MagicMock(name=\"ConversationRecord.update_time\")\n    created_by = MagicMock(name=\"ConversationRecord.created_by\")\n    delete_flag = MagicMock(name=\"ConversationRecord.delete_flag\")\n\n\nclass ConversationMessage:\n    message_id = MagicMock(name=\"ConversationMessage.message_id\")\n    message_index = MagicMock(name=\"ConversationMessage.message_index\")\n    message_role = MagicMock(name=\"ConversationMessage.message_role\")\n    unit_index = MagicMock(name=\"ConversationMessage.unit_index\")\n    conversation_id = MagicMock(name=\"ConversationMessage.conversation_id\")\n    delete_flag = MagicMock(name=\"ConversationMessage.delete_flag\")\n\n\nclass ConversationMessageUnit:\n    unit_id = MagicMock(name=\"ConversationMessageUnit.unit_id\")\n    unit_index = MagicMock(name=\"ConversationMessageUnit.unit_index\")\n    unit_type = MagicMock(name=\"ConversationMessageUnit.unit_type\")\n    unit_content = MagicMock(name=\"ConversationMessageUnit.unit_content\")\n    message_id = MagicMock(name=\"ConversationMessageUnit.message_id\")\n    conversation_id = MagicMock(name=\"ConversationMessageUnit.conversation_id\")\n    delete_flag = MagicMock(name=\"ConversationMessageUnit.delete_flag\")\n\n\nclass ConversationSourceSearch:\n    search_id = MagicMock(name=\"ConversationSourceSearch.search_id\")\n    conversation_id = MagicMock(name=\"ConversationSourceSearch.conversation_id\")\n    delete_flag = MagicMock(name=\"ConversationSourceSearch.delete_flag\")\n\n\nclass ConversationSourceImage:\n    image_id = MagicMock(name=\"ConversationSourceImage.image_id\")\n    conversation_id = MagicMock(name=\"ConversationSourceImage.conversation_id\")\n    message_id = MagicMock(name=\"ConversationSourceImage.message_id\")\n    delete_flag = MagicMock(name=\"ConversationSourceImage.delete_flag\")\n\n\ndb_models_mod.ConversationRecord = ConversationRecord\ndb_models_mod.ConversationMessage = ConversationMessage\ndb_models_mod.ConversationMessageUnit = ConversationMessageUnit\ndb_models_mod.ConversationSourceSearch = ConversationSourceSearch\ndb_models_mod.ConversationSourceImage = ConversationSourceImage\n\nsys.modules[\"database.db_models\"] = db_models_mod\nsys.modules[\"backend.database.db_models\"] = db_models_mod\n\n\n# Import module under test after stubbing\nfrom backend.database.conversation_db import (\n    delete_conversation,\n    rename_conversation,\n    soft_delete_all_conversations_by_user,\n)\n\n\n@pytest.fixture\ndef mock_session_ctx():\n    session = MagicMock(name=\"session\")\n    ctx = MagicMock(name=\"ctx\")\n    ctx.__enter__.return_value = session\n    ctx.__exit__.return_value = None\n    return session, ctx\n\n\ndef test_soft_delete_all_conversations_by_user_none(monkeypatch, mock_session_ctx):\n    \"\"\"Return 0 and do no writes when user has no conversations.\"\"\"\n    session, ctx = mock_session_ctx\n    session.scalars.return_value.all.return_value = []\n    monkeypatch.setattr(\"backend.database.conversation_db.get_db_session\", lambda: ctx)\n\n    count = soft_delete_all_conversations_by_user(\"user-1\")\n\n    assert count == 0\n    session.scalars.assert_called_once()\n    session.execute.assert_not_called()\n\n\ndef test_soft_delete_all_conversations_by_user_some(monkeypatch, mock_session_ctx):\n    \"\"\"Soft-delete across all related tables when conversations exist.\"\"\"\n    session, ctx = mock_session_ctx\n    session.scalars.return_value.all.return_value = [101, 102, 103]\n    monkeypatch.setattr(\"backend.database.conversation_db.get_db_session\", lambda: ctx)\n\n    count = soft_delete_all_conversations_by_user(\"user-2\")\n\n    assert count == 3\n    session.scalars.assert_called_once()\n    # conversations, messages, units, searches, images\n    assert session.execute.call_count == 5\n\n\ndef test_delete_conversation_success(monkeypatch, mock_session_ctx):\n    \"\"\"delete_conversation returns True when conversation rowcount > 0 and cascades updates.\"\"\"\n    session, ctx = mock_session_ctx\n    # First execute returns conversation_result with rowcount > 0\n    conversation_result = MagicMock()\n    conversation_result.rowcount = 1\n    session.execute.side_effect = [conversation_result, MagicMock(), MagicMock(), MagicMock(), MagicMock()]\n\n    monkeypatch.setattr(\"backend.database.conversation_db.get_db_session\", lambda: ctx)\n\n    ok = delete_conversation(123, user_id=\"actor\")\n\n    assert ok is True\n    # 5 executes: conversation, message, unit, search, image\n    assert session.execute.call_count == 5\n\n\ndef test_delete_conversation_noop(monkeypatch, mock_session_ctx):\n    \"\"\"delete_conversation returns False when no conversation row affected.\"\"\"\n    session, ctx = mock_session_ctx\n    conversation_result = MagicMock()\n    conversation_result.rowcount = 0\n    session.execute.side_effect = [conversation_result, MagicMock(), MagicMock(), MagicMock(), MagicMock()]\n\n    monkeypatch.setattr(\"backend.database.conversation_db.get_db_session\", lambda: ctx)\n\n    ok = delete_conversation(999)\n\n    assert ok is False\n    assert session.execute.call_count == 5\n\n\n# Tests for rename_conversation\n\n\ndef test_rename_conversation_success_ascii(monkeypatch, mock_session_ctx):\n    \"\"\"rename_conversation returns True when conversation rowcount > 0 with ASCII title.\"\"\"\n    session, ctx = mock_session_ctx\n    conversation_result = MagicMock()\n    conversation_result.rowcount = 1\n    session.execute.return_value = conversation_result\n\n    # Create fresh mock for this test\n    test_db_client = MagicMock(name=\"db_client_test\")\n    test_db_client.clean_string_values = MagicMock(\n        side_effect=lambda data: {k: v for k, v in data.items()}\n    )\n\n    monkeypatch.setattr(\"backend.database.conversation_db.get_db_session\", lambda: ctx)\n    monkeypatch.setattr(\"backend.database.conversation_db.db_client\", test_db_client)\n\n    ok = rename_conversation(123, \"New Title\", user_id=\"actor\")\n\n    assert ok is True\n    session.execute.assert_called_once()\n    # Verify clean_string_values was called\n    test_db_client.clean_string_values.assert_called_once()\n\n\ndef test_rename_conversation_success_chinese(monkeypatch, mock_session_ctx):\n    \"\"\"rename_conversation returns True when conversation rowcount > 0 with Chinese title.\"\"\"\n    session, ctx = mock_session_ctx\n    conversation_result = MagicMock()\n    conversation_result.rowcount = 1\n    session.execute.return_value = conversation_result\n\n    # Create fresh mock for this test\n    test_db_client = MagicMock(name=\"db_client_test\")\n    test_db_client.clean_string_values = MagicMock(\n        side_effect=lambda data: {k: v for k, v in data.items()}\n    )\n\n    monkeypatch.setattr(\"backend.database.conversation_db.get_db_session\", lambda: ctx)\n    monkeypatch.setattr(\"backend.database.conversation_db.db_client\", test_db_client)\n\n    ok = rename_conversation(456, \"测试会话标题\", user_id=\"user-1\")\n\n    assert ok is True\n    session.execute.assert_called_once()\n    test_db_client.clean_string_values.assert_called_once()\n\n\ndef test_rename_conversation_success_mixed(monkeypatch, mock_session_ctx):\n    \"\"\"rename_conversation returns True with mixed ASCII and Chinese characters.\"\"\"\n    session, ctx = mock_session_ctx\n    conversation_result = MagicMock()\n    conversation_result.rowcount = 1\n    session.execute.return_value = conversation_result\n\n    # Create fresh mock for this test\n    test_db_client = MagicMock(name=\"db_client_test\")\n    test_db_client.clean_string_values = MagicMock(\n        side_effect=lambda data: {k: v for k, v in data.items()}\n    )\n\n    monkeypatch.setattr(\"backend.database.conversation_db.get_db_session\", lambda: ctx)\n    monkeypatch.setattr(\"backend.database.conversation_db.db_client\", test_db_client)\n\n    ok = rename_conversation(789, \"Project 项目 Alpha\", user_id=\"developer\")\n\n    assert ok is True\n    session.execute.assert_called_once()\n\n\ndef test_rename_conversation_not_found(monkeypatch, mock_session_ctx):\n    \"\"\"rename_conversation returns False when no conversation row affected.\"\"\"\n    session, ctx = mock_session_ctx\n    conversation_result = MagicMock()\n    conversation_result.rowcount = 0\n    session.execute.return_value = conversation_result\n\n    # Create fresh mock for this test\n    test_db_client = MagicMock(name=\"db_client_test\")\n    test_db_client.clean_string_values = MagicMock(\n        side_effect=lambda data: {k: v for k, v in data.items()}\n    )\n\n    monkeypatch.setattr(\"backend.database.conversation_db.get_db_session\", lambda: ctx)\n    monkeypatch.setattr(\"backend.database.conversation_db.db_client\", test_db_client)\n\n    ok = rename_conversation(999, \"Nonexistent Title\")\n\n    assert ok is False\n    session.execute.assert_called_once()\n\n\ndef test_rename_conversation_without_user_id(monkeypatch, mock_session_ctx):\n    \"\"\"rename_conversation works without user_id parameter.\"\"\"\n    session, ctx = mock_session_ctx\n    conversation_result = MagicMock()\n    conversation_result.rowcount = 1\n    session.execute.return_value = conversation_result\n\n    # Create fresh mock for this test\n    test_db_client = MagicMock(name=\"db_client_test\")\n    test_db_client.clean_string_values = MagicMock(\n        side_effect=lambda data: {k: v for k, v in data.items()}\n    )\n\n    monkeypatch.setattr(\"backend.database.conversation_db.get_db_session\", lambda: ctx)\n    monkeypatch.setattr(\"backend.database.conversation_db.db_client\", test_db_client)\n\n    ok = rename_conversation(123, \"Title Only\")\n\n    assert ok is True\n    session.execute.assert_called_once()\n\n\ndef test_rename_conversation_conversation_id_as_string(monkeypatch, mock_session_ctx):\n    \"\"\"rename_conversation handles conversation_id passed as string.\"\"\"\n    session, ctx = mock_session_ctx\n    conversation_result = MagicMock()\n    conversation_result.rowcount = 1\n    session.execute.return_value = conversation_result\n\n    # Create fresh mock for this test\n    test_db_client = MagicMock(name=\"db_client_test\")\n    test_db_client.clean_string_values = MagicMock(\n        side_effect=lambda data: {k: v for k, v in data.items()}\n    )\n\n    monkeypatch.setattr(\"backend.database.conversation_db.get_db_session\", lambda: ctx)\n    monkeypatch.setattr(\"backend.database.conversation_db.db_client\", test_db_client)\n\n    ok = rename_conversation(\"456\", \"String ID Title\")\n\n    assert ok is True\n    session.execute.assert_called_once()\n\n\ndef test_rename_conversation_with_emoji(monkeypatch, mock_session_ctx):\n    \"\"\"rename_conversation handles emoji characters.\"\"\"\n    session, ctx = mock_session_ctx\n    conversation_result = MagicMock()\n    conversation_result.rowcount = 1\n    session.execute.return_value = conversation_result\n\n    # Create fresh mock for this test\n    test_db_client = MagicMock(name=\"db_client_test\")\n    test_db_client.clean_string_values = MagicMock(\n        side_effect=lambda data: {k: v for k, v in data.items()}\n    )\n\n    monkeypatch.setattr(\"backend.database.conversation_db.get_db_session\", lambda: ctx)\n    monkeypatch.setattr(\"backend.database.conversation_db.db_client\", test_db_client)\n\n    ok = rename_conversation(123, \"Hello World 🌍\", user_id=\"user-1\")\n\n    assert ok is True\n    session.execute.assert_called_once()\n    test_db_client.clean_string_values.assert_called_once()\n"
  },
  {
    "path": "test/backend/database/test_group_db.py",
    "content": "import sys\nimport os\nsys.path.insert(0, os.path.join(os.path.dirname(__file__), \"../../..\"))\n\nimport pytest\nfrom unittest.mock import MagicMock\n\n# First mock the consts module to avoid ModuleNotFoundError\nconsts_mock = MagicMock()\nconsts_mock.const = MagicMock()\n# Set required constants in consts.const\nconsts_mock.const.MINIO_ENDPOINT = \"http://localhost:9000\"\nconsts_mock.const.MINIO_ACCESS_KEY = \"test_access_key\"\nconsts_mock.const.MINIO_SECRET_KEY = \"test_secret_key\"\nconsts_mock.const.MINIO_REGION = \"us-east-1\"\nconsts_mock.const.MINIO_DEFAULT_BUCKET = \"test-bucket\"\nconsts_mock.const.POSTGRES_HOST = \"localhost\"\nconsts_mock.const.POSTGRES_USER = \"test_user\"\nconsts_mock.const.NEXENT_POSTGRES_PASSWORD = \"test_password\"\nconsts_mock.const.POSTGRES_DB = \"test_db\"\nconsts_mock.const.POSTGRES_PORT = 5432\nconsts_mock.const.DEFAULT_TENANT_ID = \"default_tenant\"\n\n# Add the mocked consts module to sys.modules\nsys.modules['consts'] = consts_mock\nsys.modules['consts.const'] = consts_mock.const\n\n# Mock utils module\nutils_mock = MagicMock()\nutils_mock.auth_utils = MagicMock()\nutils_mock.auth_utils.get_current_user_id_from_token = MagicMock(return_value=\"test_user_id\")\n\n# Mock str_utils module\nstr_utils_mock = MagicMock()\n\n\ndef mock_convert_string_to_list(s):\n    \"\"\"Mock implementation of convert_string_to_list that converts comma-separated string to int list\"\"\"\n    if isinstance(s, str) and s:\n        return [int(x.strip()) for x in s.split(',') if x.strip()]\n    return []\n\n\nstr_utils_mock.convert_string_to_list = mock_convert_string_to_list\nutils_mock.str_utils = str_utils_mock\n\n# Add the mocked utils module to sys.modules\nsys.modules['utils'] = utils_mock\nsys.modules['utils.auth_utils'] = utils_mock.auth_utils\nsys.modules['utils.str_utils'] = str_utils_mock\n\n# Provide a stub for the `boto3` module so that it can be imported safely even\n# if the testing environment does not have it available.\nboto3_mock = MagicMock()\nsys.modules['boto3'] = boto3_mock\n\n# Mock the entire client module\nclient_mock = MagicMock()\nclient_mock.MinioClient = MagicMock()\nclient_mock.PostgresClient = MagicMock()\nclient_mock.db_client = MagicMock()\nclient_mock.get_db_session = MagicMock()\nclient_mock.as_dict = MagicMock()\nclient_mock.filter_property = MagicMock()\n\n# Add the mocked client module to sys.modules\nsys.modules['database.client'] = client_mock\nsys.modules['backend.database.client'] = client_mock\n\n# Mock db_models module\ndb_models_mock = MagicMock()\ndb_models_mock.TenantGroupInfo = MagicMock()\ndb_models_mock.TenantGroupUser = MagicMock()\n\nclass MockTenantGroupInfo:\n    def __init__(self, **kwargs):\n        self.group_id = kwargs.get('group_id', 1)\n        self.tenant_id = kwargs.get('tenant_id', 'test_tenant')\n        self.group_name = kwargs.get('group_name', 'test_group')\n        self.group_description = kwargs.get('group_description', 'test description')\n        self.created_by = kwargs.get('created_by', 'test_user')\n        self.updated_by = kwargs.get('updated_by', 'test_user')\n        self.delete_flag = kwargs.get('delete_flag', 'N')\n        self.create_time = kwargs.get('create_time', '2024-01-01 00:00:00')\n        self.update_time = kwargs.get('update_time', '2024-01-01 00:00:00')\n\nclass MockTenantGroupUser:\n    def __init__(self, **kwargs):\n        self.group_user_id = kwargs.get('group_user_id', 1)\n        self.group_id = kwargs.get('group_id', 1)\n        self.user_id = kwargs.get('user_id', 'test_user')\n        self.created_by = kwargs.get('created_by', 'test_user')\n        self.updated_by = kwargs.get('updated_by', 'test_user')\n        self.delete_flag = kwargs.get('delete_flag', 'N')\n        self.create_time = kwargs.get('create_time', '2024-01-01 00:00:00')\n        self.update_time = kwargs.get('update_time', '2024-01-01 00:00:00')\n\n\n# Add the mocked db_models module to sys.modules\nsys.modules['database.db_models'] = db_models_mock\nsys.modules['backend.database.db_models'] = db_models_mock\n\n# Mock exceptions module\nexceptions_mock = MagicMock()\nsys.modules['consts.exceptions'] = exceptions_mock\nsys.modules['backend.consts.exceptions'] = exceptions_mock\n\n# Mock sqlalchemy module\nsqlalchemy_mock = MagicMock()\nsqlalchemy_mock.exc = MagicMock()\n\nclass MockSQLAlchemyError(Exception):\n    pass\n\nsqlalchemy_mock.exc.SQLAlchemyError = MockSQLAlchemyError\n\n# Add the mocked sqlalchemy module to sys.modules\nsys.modules['sqlalchemy'] = sqlalchemy_mock\nsys.modules['sqlalchemy.exc'] = sqlalchemy_mock.exc\n\n# Now we can safely import the module under test\nfrom backend.database.group_db import (\n    query_groups,\n    query_groups_by_tenant,\n    add_group,\n    modify_group,\n    remove_group,\n    remove_group_users,\n    add_user_to_group,\n    remove_user_from_group,\n    remove_user_from_all_groups,\n    query_group_users,\n    query_groups_by_user,\n    query_group_ids_by_user,\n    check_user_in_group,\n    count_group_users,\n    check_group_name_exists\n)\n\n\n@pytest.fixture\ndef mock_session():\n    \"\"\"Create mock database session\"\"\"\n    mock_session = MagicMock()\n    mock_query = MagicMock()\n    mock_session.query.return_value = mock_query\n    return mock_session, mock_query\n\n\ndef test_get_group_by_id_success(monkeypatch, mock_session):\n    \"\"\"Test successfully retrieving group by ID\"\"\"\n    session, query = mock_session\n\n    mock_group = MockTenantGroupInfo()\n    mock_group.group_id = 123\n    mock_group.group_name = \"test_group\"\n\n    mock_filter = MagicMock()\n    mock_filter.all.return_value = [mock_group]\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.group_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\"backend.database.group_db.as_dict\", lambda obj: obj.__dict__)\n\n    result = query_groups(123)\n\n    assert result is not None\n    assert result[\"group_id\"] == 123\n    assert result[\"group_name\"] == \"test_group\"\n\n\ndef test_get_group_by_id_not_found(monkeypatch, mock_session):\n    \"\"\"Test retrieving non-existent group\"\"\"\n    session, query = mock_session\n\n    mock_filter = MagicMock()\n    mock_filter.first.return_value = None\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.group_db.get_db_session\", lambda: mock_ctx)\n\n    result = query_groups(999)\n\n    assert result is None\n\n\ndef test_get_group_by_id_with_string_input(monkeypatch, mock_session):\n    \"\"\"Test retrieving groups by comma-separated string\"\"\"\n    session, query = mock_session\n\n    mock_group1 = MockTenantGroupInfo(group_id=1, group_name=\"group1\")\n    mock_group2 = MockTenantGroupInfo(group_id=2, group_name=\"group2\")\n\n    mock_filter = MagicMock()\n    mock_filter.all.return_value = [mock_group1, mock_group2]\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.group_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\"backend.database.group_db.as_dict\",\n                        lambda obj: obj.__dict__)\n\n    result = query_groups(\"1,2\")\n\n    assert len(result) == 2\n    assert result[0][\"group_id\"] == 1\n    assert result[1][\"group_id\"] == 2\n\n\ndef test_get_group_by_id_with_list_input(monkeypatch, mock_session):\n    \"\"\"Test retrieving groups by list of IDs\"\"\"\n    session, query = mock_session\n\n    mock_group1 = MockTenantGroupInfo(group_id=1, group_name=\"group1\")\n    mock_group2 = MockTenantGroupInfo(group_id=3, group_name=\"group3\")\n\n    mock_filter = MagicMock()\n    mock_filter.all.return_value = [mock_group1, mock_group2]\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.group_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\"backend.database.group_db.as_dict\",\n                        lambda obj: obj.__dict__)\n\n    result = query_groups([1, 3])\n\n    assert len(result) == 2\n    assert result[0][\"group_id\"] == 1\n    assert result[1][\"group_id\"] == 3\n\n\ndef test_get_group_by_id_empty_string(monkeypatch, mock_session):\n    \"\"\"Test retrieving groups with empty string\"\"\"\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = None\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.group_db.get_db_session\", lambda: mock_ctx)\n\n    result = query_groups(\"\")\n\n    assert result == []\n\n\ndef test_get_group_by_id_empty_list(monkeypatch, mock_session):\n    \"\"\"Test retrieving groups with empty list\"\"\"\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = None\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.group_db.get_db_session\", lambda: mock_ctx)\n\n    result = query_groups([])\n\n    assert result == []\n\n\ndef test_get_group_by_id_invalid_type():\n    \"\"\"Test get_group_by_id with invalid input type\"\"\"\n    import pytest\n\n    with pytest.raises(ValueError, match=\"group_id must be int, str, or List\\\\[int\\\\]\"):\n        query_groups(1.5)  # float is not supported\n\n\ndef test_get_groups_by_tenant_success_with_pagination(monkeypatch, mock_session):\n    \"\"\"Test retrieving groups by tenant with pagination\"\"\"\n    session, query = mock_session\n\n    mock_group1 = MockTenantGroupInfo(group_id=1, group_name=\"group1\")\n    mock_group2 = MockTenantGroupInfo(group_id=2, group_name=\"group2\")\n\n    # Mock the count query\n    mock_count_filter = MagicMock()\n    mock_count_filter.count.return_value = 2\n\n    # Mock the paginated query chain\n    mock_paginated_filter = MagicMock()\n    mock_paginated_order_by = MagicMock()\n    mock_paginated_offset = MagicMock()\n    mock_paginated_limit = MagicMock()\n    mock_paginated_limit.all.return_value = [mock_group1, mock_group2]\n    mock_paginated_offset.limit.return_value = mock_paginated_limit\n    mock_paginated_order_by.offset.return_value = mock_paginated_offset\n    mock_paginated_filter.order_by.return_value = mock_paginated_order_by\n\n    # Mock session.query to return different objects for different calls\n    call_count = 0\n    def mock_query(*args, **kwargs):\n        nonlocal call_count\n        call_count += 1\n        if call_count == 1:  # First call for count\n            mock_q = MagicMock()\n            mock_q.filter.return_value = mock_count_filter\n            return mock_q\n        else:  # Second call for paginated results\n            mock_q = MagicMock()\n            mock_q.filter.return_value = mock_paginated_filter\n            return mock_q\n\n    session.query = mock_query\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.group_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\"backend.database.group_db.as_dict\", lambda obj: obj.__dict__)\n\n    result = query_groups_by_tenant(\"test_tenant\", page=1, page_size=10, sort_by=\"created_at\", sort_order=\"desc\")\n\n    assert result[\"total\"] == 2\n    assert len(result[\"groups\"]) == 2\n    assert result[\"groups\"][0][\"group_name\"] == \"group1\"\n    assert result[\"groups\"][1][\"group_name\"] == \"group2\"\n    # Verify pagination was applied\n    mock_paginated_order_by.offset.assert_called_once_with(0)  # (page-1) * page_size = (1-1) * 10 = 0\n    mock_paginated_offset.limit.assert_called_once_with(10)\n\n\ndef test_get_groups_by_tenant_success_without_pagination(monkeypatch, mock_session):\n    \"\"\"Test retrieving groups by tenant without pagination (returns all data)\"\"\"\n    session, query = mock_session\n\n    mock_group1 = MockTenantGroupInfo(group_id=1, group_name=\"group1\")\n    mock_group2 = MockTenantGroupInfo(group_id=2, group_name=\"group2\")\n    mock_group3 = MockTenantGroupInfo(group_id=3, group_name=\"group3\")\n\n    # Mock the count query\n    mock_count_filter = MagicMock()\n    mock_count_filter.count.return_value = 3\n\n    # Mock the query chain without pagination\n    mock_filter = MagicMock()\n    mock_order_by = MagicMock()\n    mock_order_by.all.return_value = [mock_group1, mock_group2, mock_group3]\n    mock_filter.order_by.return_value = mock_order_by\n\n    # Mock session.query to return different objects for different calls\n    call_count = 0\n    def mock_query(*args, **kwargs):\n        nonlocal call_count\n        call_count += 1\n        if call_count == 1:  # First call for count\n            mock_q = MagicMock()\n            mock_q.filter.return_value = mock_count_filter\n            return mock_q\n        else:  # Second call for results\n            mock_q = MagicMock()\n            mock_q.filter.return_value = mock_filter\n            return mock_q\n\n    session.query = mock_query\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.group_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\"backend.database.group_db.as_dict\", lambda obj: obj.__dict__)\n\n    result = query_groups_by_tenant(\"test_tenant\", page=None, page_size=None)\n\n    assert result[\"total\"] == 3\n    assert len(result[\"groups\"]) == 3\n    assert result[\"groups\"][0][\"group_name\"] == \"group1\"\n    assert result[\"groups\"][1][\"group_name\"] == \"group2\"\n    assert result[\"groups\"][2][\"group_name\"] == \"group3\"\n    # Verify .all() was called (no pagination)\n    mock_order_by.all.assert_called_once()\n\n\ndef test_get_groups_by_tenant_with_asc_sort(monkeypatch, mock_session):\n    \"\"\"Test retrieving groups by tenant with ascending sort order\"\"\"\n    session, query = mock_session\n\n    mock_group1 = MockTenantGroupInfo(group_id=1, group_name=\"group1\")\n    mock_group2 = MockTenantGroupInfo(group_id=2, group_name=\"group2\")\n\n    # Mock the count query\n    mock_count_filter = MagicMock()\n    mock_count_filter.count.return_value = 2\n\n    # Mock the paginated query chain\n    mock_paginated_filter = MagicMock()\n    mock_paginated_order_by = MagicMock()\n    mock_paginated_offset = MagicMock()\n    mock_paginated_limit = MagicMock()\n    mock_paginated_limit.all.return_value = [mock_group1, mock_group2]\n    mock_paginated_offset.limit.return_value = mock_paginated_limit\n    mock_paginated_order_by.offset.return_value = mock_paginated_offset\n    mock_paginated_filter.order_by.return_value = mock_paginated_order_by\n\n    # Mock session.query to return different objects for different calls\n    call_count = 0\n    def mock_query(*args, **kwargs):\n        nonlocal call_count\n        call_count += 1\n        if call_count == 1:  # First call for count\n            mock_q = MagicMock()\n            mock_q.filter.return_value = mock_count_filter\n            return mock_q\n        else:  # Second call for paginated results\n            mock_q = MagicMock()\n            mock_q.filter.return_value = mock_paginated_filter\n            return mock_q\n\n    session.query = mock_query\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.group_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\"backend.database.group_db.as_dict\", lambda obj: obj.__dict__)\n\n    result = query_groups_by_tenant(\"test_tenant\", page=1, page_size=10, sort_by=\"created_at\", sort_order=\"asc\")\n\n    assert result[\"total\"] == 2\n    assert len(result[\"groups\"]) == 2\n    # Verify order_by was called with asc\n    mock_paginated_filter.order_by.assert_called_once()\n\n\ndef test_get_groups_by_tenant_with_only_page_none(monkeypatch, mock_session):\n    \"\"\"Test retrieving groups by tenant when page is None but page_size is provided\"\"\"\n    session, query = mock_session\n\n    mock_group1 = MockTenantGroupInfo(group_id=1, group_name=\"group1\")\n    mock_group2 = MockTenantGroupInfo(group_id=2, group_name=\"group2\")\n\n    # Mock the count query\n    mock_count_filter = MagicMock()\n    mock_count_filter.count.return_value = 2\n\n    # Mock the query chain without pagination (since page is None)\n    mock_filter = MagicMock()\n    mock_order_by = MagicMock()\n    mock_order_by.all.return_value = [mock_group1, mock_group2]\n    mock_filter.order_by.return_value = mock_order_by\n\n    # Mock session.query to return different objects for different calls\n    call_count = 0\n    def mock_query(*args, **kwargs):\n        nonlocal call_count\n        call_count += 1\n        if call_count == 1:  # First call for count\n            mock_q = MagicMock()\n            mock_q.filter.return_value = mock_count_filter\n            return mock_q\n        else:  # Second call for results\n            mock_q = MagicMock()\n            mock_q.filter.return_value = mock_filter\n            return mock_q\n\n    session.query = mock_query\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.group_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\"backend.database.group_db.as_dict\", lambda obj: obj.__dict__)\n\n    result = query_groups_by_tenant(\"test_tenant\", page=None, page_size=10)\n\n    assert result[\"total\"] == 2\n    assert len(result[\"groups\"]) == 2\n    # Verify .all() was called (no pagination when page is None)\n    mock_order_by.all.assert_called_once()\n\n\ndef test_get_groups_by_tenant_with_only_page_size_none(monkeypatch, mock_session):\n    \"\"\"Test retrieving groups by tenant when page_size is None but page is provided\"\"\"\n    session, query = mock_session\n\n    mock_group1 = MockTenantGroupInfo(group_id=1, group_name=\"group1\")\n    mock_group2 = MockTenantGroupInfo(group_id=2, group_name=\"group2\")\n\n    # Mock the count query\n    mock_count_filter = MagicMock()\n    mock_count_filter.count.return_value = 2\n\n    # Mock the query chain without pagination (since page_size is None)\n    mock_filter = MagicMock()\n    mock_order_by = MagicMock()\n    mock_order_by.all.return_value = [mock_group1, mock_group2]\n    mock_filter.order_by.return_value = mock_order_by\n\n    # Mock session.query to return different objects for different calls\n    call_count = 0\n    def mock_query(*args, **kwargs):\n        nonlocal call_count\n        call_count += 1\n        if call_count == 1:  # First call for count\n            mock_q = MagicMock()\n            mock_q.filter.return_value = mock_count_filter\n            return mock_q\n        else:  # Second call for results\n            mock_q = MagicMock()\n            mock_q.filter.return_value = mock_filter\n            return mock_q\n\n    session.query = mock_query\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.group_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\"backend.database.group_db.as_dict\", lambda obj: obj.__dict__)\n\n    result = query_groups_by_tenant(\"test_tenant\", page=1, page_size=None)\n\n    assert result[\"total\"] == 2\n    assert len(result[\"groups\"]) == 2\n    # Verify .all() was called (no pagination when page_size is None)\n    mock_order_by.all.assert_called_once()\n\n\ndef test_get_groups_by_tenant_with_empty_result(monkeypatch, mock_session):\n    \"\"\"Test retrieving groups by tenant when no groups exist\"\"\"\n    session, query = mock_session\n\n    # Mock the count query\n    mock_count_filter = MagicMock()\n    mock_count_filter.count.return_value = 0\n\n    # Mock the query chain\n    mock_filter = MagicMock()\n    mock_order_by = MagicMock()\n    mock_order_by.all.return_value = []\n    mock_filter.order_by.return_value = mock_order_by\n\n    # Mock session.query to return different objects for different calls\n    call_count = 0\n    def mock_query(*args, **kwargs):\n        nonlocal call_count\n        call_count += 1\n        if call_count == 1:  # First call for count\n            mock_q = MagicMock()\n            mock_q.filter.return_value = mock_count_filter\n            return mock_q\n        else:  # Second call for results\n            mock_q = MagicMock()\n            mock_q.filter.return_value = mock_filter\n            return mock_q\n\n    session.query = mock_query\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.group_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\"backend.database.group_db.as_dict\", lambda obj: obj.__dict__)\n\n    result = query_groups_by_tenant(\"test_tenant\", page=1, page_size=10)\n\n    assert result[\"total\"] == 0\n    assert len(result[\"groups\"]) == 0\n\n\ndef test_create_group_success(monkeypatch, mock_session):\n    \"\"\"Test successfully creating group\"\"\"\n    session, _ = mock_session\n    session.add = MagicMock()\n\n    mock_group = MockTenantGroupInfo()\n    mock_group.group_id = 123\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.group_db.get_db_session\", lambda: mock_ctx)\n\n    from unittest.mock import patch\n    with patch('backend.database.group_db.TenantGroupInfo', return_value=mock_group):\n        result = add_group(\n            tenant_id=\"test_tenant\",\n            group_name=\"test_group\",\n            group_description=\"test description\",\n            created_by=\"test_user\"\n        )\n\n    assert result == 123\n    session.add.assert_called_once_with(mock_group)\n    session.flush.assert_called_once()\n\n\ndef test_update_group_success(monkeypatch, mock_session):\n    \"\"\"Test successfully updating group\"\"\"\n    session, query = mock_session\n\n    # Setup query filter().update() chain\n    mock_update = MagicMock()\n    mock_update.return_value = 1  # 1 row affected\n    mock_filter = MagicMock()\n    mock_filter.update = mock_update\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.group_db.get_db_session\", lambda: mock_ctx)\n\n    result = modify_group(\n        group_id=123,\n        updates={\"group_name\": \"new_name\", \"group_description\": \"new description\"},\n        updated_by=\"test_user\"\n    )\n\n    assert result is True\n\n\ndef test_soft_delete_group_success(monkeypatch, mock_session):\n    \"\"\"Test successfully soft deleting group\"\"\"\n    session, query = mock_session\n\n    # Setup query filter().update() chain\n    mock_update = MagicMock()\n    mock_update.return_value = 1  # 1 row affected\n    mock_filter = MagicMock()\n    mock_filter.update = mock_update\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.group_db.get_db_session\", lambda: mock_ctx)\n\n    result = remove_group(group_id=123, updated_by=\"test_user\")\n\n    assert result is True\n\n\ndef test_add_user_to_group_success(monkeypatch, mock_session):\n    \"\"\"Test successfully adding user to group\"\"\"\n    session, _ = mock_session\n    session.add = MagicMock()\n\n    mock_group_user = MockTenantGroupUser()\n    mock_group_user.group_user_id = 456\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.group_db.get_db_session\", lambda: mock_ctx)\n\n    from unittest.mock import patch\n    with patch('backend.database.group_db.TenantGroupUser', return_value=mock_group_user):\n        result = add_user_to_group(\n            group_id=123,\n            user_id=\"test_user\",\n            created_by=\"test_user\"\n        )\n\n    assert result == 456\n    session.add.assert_called_once_with(mock_group_user)\n    session.flush.assert_called_once()\n\n\ndef test_remove_user_from_group_success(monkeypatch, mock_session):\n    \"\"\"Test successfully removing user from group\"\"\"\n    session, query = mock_session\n\n    # Setup query filter().update() chain\n    mock_update = MagicMock()\n    mock_update.return_value = 1  # 1 row affected\n    mock_filter = MagicMock()\n    mock_filter.update = mock_update\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.group_db.get_db_session\", lambda: mock_ctx)\n\n    result = remove_user_from_group(\n        group_id=123,\n        user_id=\"test_user\",\n        updated_by=\"test_user\"\n    )\n\n    assert result is True\n\n\ndef test_get_group_users_success(monkeypatch, mock_session):\n    \"\"\"Test retrieving users in a group\"\"\"\n    session, query = mock_session\n\n    mock_user1 = MockTenantGroupUser(group_user_id=1, user_id=\"user1\")\n    mock_user2 = MockTenantGroupUser(group_user_id=2, user_id=\"user2\")\n\n    mock_filter = MagicMock()\n    mock_filter.all.return_value = [mock_user1, mock_user2]\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.group_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\"backend.database.group_db.as_dict\", lambda obj: obj.__dict__)\n\n    result = query_group_users(123)\n\n    assert len(result) == 2\n    assert result[0][\"user_id\"] == \"user1\"\n    assert result[1][\"user_id\"] == \"user2\"\n\n\ndef test_get_groups_by_user_success(monkeypatch, mock_session):\n    \"\"\"Test retrieving groups for a user\"\"\"\n    session, query = mock_session\n\n    mock_group1 = MockTenantGroupInfo(group_id=1, group_name=\"group1\")\n    mock_group2 = MockTenantGroupInfo(group_id=2, group_name=\"group2\")\n\n    # Mock the join query\n    mock_join = MagicMock()\n    mock_filter = MagicMock()\n    mock_filter.all.return_value = [mock_group1, mock_group2]\n    mock_join.filter.return_value = mock_filter\n    query.join.return_value = mock_join\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.group_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\"backend.database.group_db.as_dict\", lambda obj: obj.__dict__)\n\n    result = query_groups_by_user(\"test_user\")\n\n    assert len(result) == 2\n    assert result[0][\"group_name\"] == \"group1\"\n    assert result[1][\"group_name\"] == \"group2\"\n\n\ndef test_get_group_ids_by_user_success(monkeypatch, mock_session):\n    \"\"\"Test retrieving group IDs for a user\"\"\"\n    session, _ = mock_session\n\n    # Create a mock query that returns tuples of group_ids\n    mock_specific_query = MagicMock()\n    mock_filter = MagicMock()\n    mock_filter.all.return_value = [(1,), (2,), (3,)]\n    mock_specific_query.filter.return_value = mock_filter\n\n    def mock_query_func(*args, **kwargs):\n        return mock_specific_query\n\n    session.query = mock_query_func\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.group_db.get_db_session\", lambda: mock_ctx)\n\n    result = query_group_ids_by_user(\"test_user\")\n\n    assert result == [1, 2, 3]\n\n\ndef test_is_user_in_group_true(monkeypatch, mock_session):\n    \"\"\"Test checking if user is in group - user is in group\"\"\"\n    session, query = mock_session\n\n    mock_group_user = MockTenantGroupUser()\n\n    mock_filter = MagicMock()\n    mock_filter.first.return_value = mock_group_user\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.group_db.get_db_session\", lambda: mock_ctx)\n\n    result = check_user_in_group(\"test_user\", 123)\n\n    assert result is True\n\n\ndef test_is_user_in_group_false(monkeypatch, mock_session):\n    \"\"\"Test checking if user is in group - user is not in group\"\"\"\n    session, query = mock_session\n\n    mock_filter = MagicMock()\n    mock_filter.first.return_value = None\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.group_db.get_db_session\", lambda: mock_ctx)\n\n    result = check_user_in_group(\"test_user\", 123)\n\n    assert result is False\n\n\ndef test_get_group_user_count_success(monkeypatch, mock_session):\n    \"\"\"Test getting group user count\"\"\"\n    session, _ = mock_session\n\n    # Create a mock query that returns count\n    mock_specific_query = MagicMock()\n    mock_filter = MagicMock()\n    mock_filter.count.return_value = 5\n    mock_specific_query.filter.return_value = mock_filter\n\n    def mock_query_func(*args, **kwargs):\n        return mock_specific_query\n\n    session.query = mock_query_func\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.group_db.get_db_session\", lambda: mock_ctx)\n\n    result = count_group_users(123)\n\n    assert result == 5\n\n\ndef test_query_groups_by_tenant_with_pagination_page_2(monkeypatch, mock_session):\n    \"\"\"Test retrieving groups by tenant with pagination (page 2)\"\"\"\n    session, query = mock_session\n\n    mock_group1 = MockTenantGroupInfo(group_id=1, group_name=\"group1\")\n    mock_group2 = MockTenantGroupInfo(group_id=2, group_name=\"group2\")\n\n    # Mock the count query\n    mock_count_filter = MagicMock()\n    mock_count_filter.count.return_value = 2\n\n    # Mock the paginated query chain\n    mock_paginated_filter = MagicMock()\n    mock_paginated_order_by = MagicMock()\n    mock_paginated_offset = MagicMock()\n    mock_paginated_limit = MagicMock()\n    mock_paginated_limit.all.return_value = [mock_group1, mock_group2]\n    mock_paginated_offset.limit.return_value = mock_paginated_limit\n    mock_paginated_order_by.offset.return_value = mock_paginated_offset\n    mock_paginated_filter.order_by.return_value = mock_paginated_order_by\n\n    # Mock session.query to return different objects for different calls\n    call_count = 0\n    def mock_query(*args, **kwargs):\n        nonlocal call_count\n        call_count += 1\n        if call_count == 1:  # First call for count\n            mock_q = MagicMock()\n            mock_q.filter.return_value = mock_count_filter\n            return mock_q\n        else:  # Second call for paginated results\n            mock_q = MagicMock()\n            mock_q.filter.return_value = mock_paginated_filter\n            return mock_q\n\n    session.query = mock_query\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.group_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\"backend.database.group_db.as_dict\", lambda obj: obj.__dict__)\n\n    result = query_groups_by_tenant(\"test_tenant\", page=2, page_size=10, sort_by=\"created_at\", sort_order=\"desc\")\n\n    # Verify pagination parameters were used correctly\n    mock_paginated_order_by.offset.assert_called_with(10)  # (page-1) * page_size = (2-1) * 10 = 10\n    mock_paginated_offset.limit.assert_called_with(10)\n\n    assert result[\"total\"] == 2\n    assert len(result[\"groups\"]) == 2\n    assert result[\"groups\"][0][\"group_name\"] == \"group1\"\n    assert result[\"groups\"][1][\"group_name\"] == \"group2\"\n\n\ndef test_modify_group_no_updates_provided(monkeypatch, mock_session):\n    \"\"\"Test modifying group with no updates provided\"\"\"\n    session, query = mock_session\n\n    mock_update = MagicMock()\n    mock_update.return_value = 1\n    mock_filter = MagicMock()\n    mock_filter.update = mock_update\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.group_db.get_db_session\", lambda: mock_ctx)\n\n    result = modify_group(group_id=123, updates={})\n\n    assert result is True\n\n\ndef test_modify_group_no_rows_affected(monkeypatch, mock_session):\n    \"\"\"Test modifying group when no rows are affected\"\"\"\n    session, query = mock_session\n\n    mock_update = MagicMock()\n    mock_update.return_value = 0  # No rows affected\n    mock_filter = MagicMock()\n    mock_filter.update = mock_update\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.group_db.get_db_session\", lambda: mock_ctx)\n\n    result = modify_group(group_id=999, updates={\"group_name\": \"new_name\"})\n\n    assert result is False\n\n\ndef test_remove_group_no_rows_affected(monkeypatch, mock_session):\n    \"\"\"Test removing group when no rows are affected\"\"\"\n    session, query = mock_session\n\n    # First query: TenantGroupInfo\n    mock_group_filter = MagicMock()\n    mock_group_filter.update.return_value = 0  # No rows affected for TenantGroupInfo\n    mock_group_filter.filter.return_value = mock_group_filter\n\n    # Second query: TenantGroupUser\n    mock_user_filter = MagicMock()\n    mock_user_filter.update.return_value = 0\n    mock_user_filter.filter.return_value = mock_user_filter\n\n    # Setup session.query() to return different mocks for different model classes\n    query_call_count = [0]\n    def query_call_side_effect(model_class):\n        query_call_count[0] += 1\n        if query_call_count[0] == 1:\n            # First call: TenantGroupInfo\n            return mock_group_filter\n        else:\n            # Second call: TenantGroupUser\n            return mock_user_filter\n    session.query.side_effect = query_call_side_effect\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.group_db.get_db_session\", lambda: mock_ctx)\n\n    result = remove_group(group_id=999, updated_by=\"test_user\")\n\n    assert result is False\n\n\ndef test_remove_group_success(monkeypatch, mock_session):\n    \"\"\"Test successfully removing group and its user relationships\"\"\"\n    session, query = mock_session\n\n    # First query: TenantGroupInfo - need filter() to return the same mock so update() works\n    mock_group_filter = MagicMock()\n    mock_group_filter.update.return_value = 1  # One row affected for TenantGroupInfo\n    # Make filter() return the same mock so chained .update() works\n    mock_group_filter.filter.return_value = mock_group_filter\n\n    # Second query: TenantGroupUser\n    mock_user_filter = MagicMock()\n    mock_user_filter.update.return_value = 3  # Three user-group relationships removed\n    mock_user_filter.filter.return_value = mock_user_filter\n\n    # Setup session.query() to return different mocks for different model classes\n    query_call_count = [0]\n    def query_call_side_effect(model_class):\n        query_call_count[0] += 1\n        if query_call_count[0] == 1:\n            # First call: TenantGroupInfo\n            return mock_group_filter\n        else:\n            # Second call: TenantGroupUser\n            return mock_user_filter\n    session.query.side_effect = query_call_side_effect\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.group_db.get_db_session\", lambda: mock_ctx)\n\n    result = remove_group(group_id=123, updated_by=\"admin_user\")\n\n    assert result is True\n\n\ndef test_remove_user_from_group_no_rows_affected(monkeypatch, mock_session):\n    \"\"\"Test removing user from group when no rows are affected\"\"\"\n    session, query = mock_session\n\n    mock_update = MagicMock()\n    mock_update.return_value = 0  # No rows affected\n    mock_filter = MagicMock()\n    mock_filter.update = mock_update\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.group_db.get_db_session\", lambda: mock_ctx)\n\n    result = remove_user_from_group(group_id=999, user_id=\"nonexistent_user\", updated_by=\"test_user\")\n\n    assert result is False\n\n\ndef test_query_groups_by_user_no_groups(monkeypatch, mock_session):\n    \"\"\"Test retrieving groups for user when user has no groups\"\"\"\n    session, query = mock_session\n\n    mock_join = MagicMock()\n    mock_filter = MagicMock()\n    mock_filter.all.return_value = []\n    mock_join.filter.return_value = mock_filter\n    query.join.return_value = mock_join\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.group_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\"backend.database.group_db.as_dict\", lambda obj: obj.__dict__)\n\n    result = query_groups_by_user(\"user_with_no_groups\")\n\n    assert result == []\n\n\ndef test_query_group_ids_by_user_no_groups(monkeypatch, mock_session):\n    \"\"\"Test retrieving group IDs for user when user has no groups\"\"\"\n    session, _ = mock_session\n\n    # Create a mock query that returns empty result\n    mock_specific_query = MagicMock()\n    mock_filter = MagicMock()\n    mock_filter.all.return_value = []\n    mock_specific_query.filter.return_value = mock_filter\n\n    def mock_query_func(*args, **kwargs):\n        return mock_specific_query\n\n    session.query = mock_query_func\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.group_db.get_db_session\", lambda: mock_ctx)\n\n    result = query_group_ids_by_user(\"user_with_no_groups\")\n\n    assert result == []\n\n\ndef test_remove_user_from_all_groups_success(monkeypatch, mock_session):\n    \"\"\"Test successfully removing user from all groups\"\"\"\n    session, query = mock_session\n\n    # Setup query.filter().update() chain for TenantGroupUser\n    mock_update = MagicMock()\n    mock_update.return_value = 3  # 3 group memberships removed\n    mock_filter = MagicMock()\n    mock_filter.update = mock_update\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.group_db.get_db_session\", lambda: mock_ctx)\n\n    result = remove_user_from_all_groups(\n        user_id=\"test_user\",\n        removed_by=\"admin_user\"\n    )\n\n    assert result == 3\n    # Verify the filter was called\n    query.filter.assert_called_once()\n    # Verify update was called with correct parameters\n    mock_update.assert_called_once_with({\n        \"delete_flag\": \"Y\",\n        \"updated_by\": \"admin_user\",\n        \"update_time\": \"NOW()\"\n    })\n\n\ndef test_remove_user_from_all_groups_no_memberships(monkeypatch, mock_session):\n    \"\"\"Test removing user from all groups when user has no group memberships\"\"\"\n    session, query = mock_session\n\n    # Setup query.filter().update() chain\n    mock_update = MagicMock()\n    mock_update.return_value = 0  # No rows affected\n    mock_filter = MagicMock()\n    mock_filter.update = mock_update\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.group_db.get_db_session\", lambda: mock_ctx)\n\n    result = remove_user_from_all_groups(\n        user_id=\"user_with_no_groups\",\n        removed_by=\"admin_user\"\n    )\n\n    assert result == 0\n    # Verify update was still called even with 0 affected rows\n    mock_update.assert_called_once_with({\n        \"delete_flag\": \"Y\",\n        \"updated_by\": \"admin_user\",\n        \"update_time\": \"NOW()\"\n    })\n\n\ndef test_remove_user_from_all_groups_database_error(monkeypatch, mock_session):\n    \"\"\"Test database error handling for remove_user_from_all_groups\"\"\"\n    session, query = mock_session\n\n    # Setup query.filter() to raise an error\n    query.filter.side_effect = MockSQLAlchemyError(\"Database connection failed\")\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.group_db.get_db_session\", lambda: mock_ctx)\n\n    with pytest.raises(MockSQLAlchemyError, match=\"Database connection failed\"):\n        remove_user_from_all_groups(\n            user_id=\"test_user\",\n            removed_by=\"admin_user\"\n        )\n\n\ndef test_database_error_handling(monkeypatch, mock_session):\n    \"\"\"Test database error handling\"\"\"\n    session, query = mock_session\n    query.filter.side_effect = MockSQLAlchemyError(\"Database error\")\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.group_db.get_db_session\", lambda: mock_ctx)\n\n    with pytest.raises(MockSQLAlchemyError, match=\"Database error\"):\n        query_groups(123)\n\n\ndef test_check_group_name_exists_found(monkeypatch, mock_session):\n    \"\"\"Test checking group name exists - name found\"\"\"\n    session, query = mock_session\n\n    # Mock finding a group with the same name\n    mock_group = MockTenantGroupInfo(group_id=1, group_name=\"test_group\")\n\n    mock_filter = MagicMock()\n    mock_filter.first.return_value = mock_group\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.group_db.get_db_session\", lambda: mock_ctx)\n\n    result = check_group_name_exists(\"test_tenant\", \"test_group\")\n\n    assert result is True\n    # Verify the filter was called\n    query.filter.assert_called_once()\n\n\ndef test_check_group_name_exists_not_found(monkeypatch, mock_session):\n    \"\"\"Test checking group name exists - name not found\"\"\"\n    session, query = mock_session\n\n    # Mock not finding any group with the same name\n    mock_filter = MagicMock()\n    mock_filter.first.return_value = None\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.group_db.get_db_session\", lambda: mock_ctx)\n\n    result = check_group_name_exists(\"test_tenant\", \"new_group\")\n\n    assert result is False\n\n\ndef test_check_group_name_exists_with_exclusion(monkeypatch, mock_session):\n    \"\"\"Test checking group name exists - exclude specific group ID\"\"\"\n    session, query = mock_session\n\n    # Mock not finding any group (because the found group is excluded)\n    mock_filter = MagicMock()\n    mock_filter.first.return_value = None\n\n    # Mock the chain for .filter().filter()\n    mock_inner_filter = MagicMock()\n    mock_inner_filter.first.return_value = None\n    mock_filter.filter.return_value = mock_inner_filter\n\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.group_db.get_db_session\", lambda: mock_ctx)\n\n    # When updating group 1 to name \"test_group\", exclude group 1\n    result = check_group_name_exists(\"test_tenant\", \"test_group\", exclude_group_id=1)\n\n    assert result is False\n    # Verify filter().filter() was called (second filter for exclusion)\n    mock_filter.filter.assert_called_once_with(\n        db_models_mock.TenantGroupInfo.group_id != 1\n    )\n\n\ndef test_check_group_name_exists_database_error(monkeypatch, mock_session):\n    \"\"\"Test checking group name exists - database error\"\"\"\n    session, query = mock_session\n\n    query.filter.side_effect = MockSQLAlchemyError(\"Database error\")\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.group_db.get_db_session\", lambda: mock_ctx)\n\n    with pytest.raises(MockSQLAlchemyError, match=\"Database error\"):\n        check_group_name_exists(\"test_tenant\", \"test_group\")\n\n\ndef test_remove_group_users_success(monkeypatch, mock_session):\n    \"\"\"Test successfully removing all users from a group\"\"\"\n    session, query = mock_session\n\n    mock_filter = MagicMock()\n    mock_filter.update.return_value = 5  # Five user-group relationships removed\n    mock_filter.filter.return_value = mock_filter\n\n    session.query.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.group_db.get_db_session\", lambda: mock_ctx)\n\n    result = remove_group_users(group_id=123, removed_by=\"admin_user\")\n\n    assert result == 5\n\n\ndef test_remove_group_users_no_rows_affected(monkeypatch, mock_session):\n    \"\"\"Test removing users from group when no relationships exist\"\"\"\n    session, query = mock_session\n\n    mock_filter = MagicMock()\n    mock_filter.update.return_value = 0  # No rows affected\n    mock_filter.filter.return_value = mock_filter\n\n    session.query.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.group_db.get_db_session\", lambda: mock_ctx)\n\n    result = remove_group_users(group_id=999, removed_by=\"admin_user\")\n\n    assert result == 0\n"
  },
  {
    "path": "test/backend/database/test_invitation_db.py",
    "content": "import sys\nimport pytest\nfrom unittest.mock import MagicMock\n\n# First mock the consts module to avoid ModuleNotFoundError\nconsts_mock = MagicMock()\nconsts_mock.const = MagicMock()\n# Set required constants in consts.const\nconsts_mock.const.MINIO_ENDPOINT = \"http://localhost:9000\"\nconsts_mock.const.MINIO_ACCESS_KEY = \"test_access_key\"\nconsts_mock.const.MINIO_SECRET_KEY = \"test_secret_key\"\nconsts_mock.const.MINIO_REGION = \"us-east-1\"\nconsts_mock.const.MINIO_DEFAULT_BUCKET = \"test-bucket\"\nconsts_mock.const.POSTGRES_HOST = \"localhost\"\nconsts_mock.const.POSTGRES_USER = \"test_user\"\nconsts_mock.const.NEXENT_POSTGRES_PASSWORD = \"test_password\"\nconsts_mock.const.POSTGRES_DB = \"test_db\"\nconsts_mock.const.POSTGRES_PORT = 5432\nconsts_mock.const.DEFAULT_TENANT_ID = \"default_tenant\"\n\n# Add the mocked consts module to sys.modules\nsys.modules['consts'] = consts_mock\nsys.modules['consts.const'] = consts_mock.const\n\n# Mock utils module\nutils_mock = MagicMock()\nutils_mock.auth_utils = MagicMock()\nutils_mock.auth_utils.get_current_user_id_from_token = MagicMock(return_value=\"test_user_id\")\nutils_mock.str_utils = MagicMock()\nutils_mock.str_utils.convert_list_to_string = MagicMock(side_effect=lambda x: \",\".join(str(i) for i in x) if x else \"\")\n\n# Add the mocked utils module to sys.modules\nsys.modules['utils'] = utils_mock\nsys.modules['utils.auth_utils'] = utils_mock.auth_utils\nsys.modules['utils.str_utils'] = utils_mock.str_utils\n\n# Provide a stub for the `boto3` module so that it can be imported safely even\n# if the testing environment does not have it available.\nboto3_mock = MagicMock()\nsys.modules['boto3'] = boto3_mock\n\n# Mock the entire client module\nclient_mock = MagicMock()\nclient_mock.MinioClient = MagicMock()\nclient_mock.PostgresClient = MagicMock()\nclient_mock.db_client = MagicMock()\nclient_mock.get_db_session = MagicMock()\nclient_mock.as_dict = MagicMock()\nclient_mock.filter_property = MagicMock()\n\n# Add the mocked client module to sys.modules\nsys.modules['database.client'] = client_mock\nsys.modules['backend.database.client'] = client_mock\n\n# Mock db_models module\ndb_models_mock = MagicMock()\ndb_models_mock.TenantInvitationCode = MagicMock()\ndb_models_mock.TenantInvitationRecord = MagicMock()\n\nclass MockTenantInvitationCode:\n    def __init__(self, **kwargs):\n        self.invitation_id = kwargs.get('invitation_id', 1)\n        self.tenant_id = kwargs.get('tenant_id', 'test_tenant')\n        self.invitation_code = kwargs.get('invitation_code', 'test_code')\n        self.group_ids = kwargs.get('group_ids', '1,2,3')\n        self.capacity = kwargs.get('capacity', 5)\n        self.expiry_date = kwargs.get('expiry_date', '2024-12-31 23:59:59')\n        self.status = kwargs.get('status', 'IN_USE')\n        self.code_type = kwargs.get('code_type', 'ADMIN_INVITE')\n        self.created_by = kwargs.get('created_by', 'test_user')\n        self.updated_by = kwargs.get('updated_by', 'test_user')\n        self.delete_flag = kwargs.get('delete_flag', 'N')\n        self.create_time = kwargs.get('create_time', '2024-01-01 00:00:00')\n        self.update_time = kwargs.get('update_time', '2024-01-01 00:00:00')\n\nclass MockTenantInvitationRecord:\n    def __init__(self, **kwargs):\n        self.invitation_record_id = kwargs.get('invitation_record_id', 1)\n        self.invitation_id = kwargs.get('invitation_id', 1)\n        self.user_id = kwargs.get('user_id', 'test_user')\n        self.created_by = kwargs.get('created_by', 'test_user')\n        self.updated_by = kwargs.get('updated_by', 'test_user')\n        self.delete_flag = kwargs.get('delete_flag', 'N')\n        self.create_time = kwargs.get('create_time', '2024-01-01 00:00:00')\n        self.update_time = kwargs.get('update_time', '2024-01-01 00:00:00')\n\n\n# Add the mocked db_models module to sys.modules\nsys.modules['database.db_models'] = db_models_mock\nsys.modules['backend.database.db_models'] = db_models_mock\n\n# Mock exceptions module\nexceptions_mock = MagicMock()\nsys.modules['consts.exceptions'] = exceptions_mock\nsys.modules['backend.consts.exceptions'] = exceptions_mock\n\n# Mock sqlalchemy module\nsqlalchemy_mock = MagicMock()\nsqlalchemy_mock.exc = MagicMock()\n\nclass MockSQLAlchemyError(Exception):\n    pass\n\nsqlalchemy_mock.exc.SQLAlchemyError = MockSQLAlchemyError\n\n# Add the mocked sqlalchemy module to sys.modules\nsys.modules['sqlalchemy'] = sqlalchemy_mock\nsys.modules['sqlalchemy.exc'] = sqlalchemy_mock.exc\n\n# Now we can safely import the module under test\nfrom backend.database.invitation_db import (\n    query_invitation_by_code,\n    query_invitation_by_id,\n    query_invitations_by_tenant,\n    add_invitation,\n    modify_invitation,\n    remove_invitation,\n    query_invitation_records,\n    add_invitation_record,\n    count_invitation_usage,\n    query_invitation_status,\n    query_invitations_with_pagination\n)\n\n\n@pytest.fixture\ndef mock_session():\n    \"\"\"Create mock database session\"\"\"\n    mock_session = MagicMock()\n    mock_query = MagicMock()\n    mock_session.query.return_value = mock_query\n    return mock_session, mock_query\n\n\ndef test_query_invitation_by_code_success(monkeypatch, mock_session):\n    \"\"\"Test successfully retrieving invitation code by code\"\"\"\n    session, query = mock_session\n\n    mock_invitation = MockTenantInvitationCode()\n    mock_invitation.invitation_id = 123\n    mock_invitation.invitation_code = \"test_code\"\n\n    mock_filter = MagicMock()\n    mock_filter.first.return_value = mock_invitation\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.invitation_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\"backend.database.invitation_db.as_dict\", lambda obj: obj.__dict__)\n\n    result = query_invitation_by_code(\"test_code\")\n\n    assert result is not None\n    assert result[\"invitation_code\"] == \"test_code\"\n    assert result[\"invitation_id\"] == 123\n\n\ndef test_query_invitation_by_code_not_found(monkeypatch, mock_session):\n    \"\"\"Test retrieving non-existent invitation code\"\"\"\n    session, query = mock_session\n\n    mock_filter = MagicMock()\n    mock_filter.first.return_value = None\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.invitation_db.get_db_session\", lambda: mock_ctx)\n\n    result = query_invitation_by_code(\"nonexistent_code\")\n\n    assert result is None\n\n\ndef test_query_invitation_by_id_success(monkeypatch, mock_session):\n    \"\"\"Test retrieving invitation code by ID\"\"\"\n    session, query = mock_session\n\n    mock_invitation = MockTenantInvitationCode()\n    mock_invitation.invitation_id = 123\n    mock_invitation.invitation_code = \"test_code\"\n\n    mock_filter = MagicMock()\n    mock_filter.first.return_value = mock_invitation\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.invitation_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\n        \"backend.database.invitation_db.as_dict\", lambda obj: obj.__dict__)\n\n    result = query_invitation_by_id(123)\n\n    assert result is not None\n    assert result[\"invitation_code\"] == \"test_code\"\n    assert result[\"invitation_id\"] == 123\n\n\ndef test_query_invitation_by_id_not_found(monkeypatch, mock_session):\n    \"\"\"Test retrieving non-existent invitation code by ID\"\"\"\n    session, query = mock_session\n\n    mock_filter = MagicMock()\n    mock_filter.first.return_value = None\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.invitation_db.get_db_session\", lambda: mock_ctx)\n\n    result = query_invitation_by_id(999)\n\n    assert result is None\n\n\ndef test_query_invitations_by_tenant_success(monkeypatch, mock_session):\n    \"\"\"Test retrieving invitation codes by tenant\"\"\"\n    session, query = mock_session\n\n    mock_invitation1 = MockTenantInvitationCode(invitation_id=1, invitation_code=\"code1\")\n    mock_invitation2 = MockTenantInvitationCode(invitation_id=2, invitation_code=\"code2\")\n\n    mock_filter = MagicMock()\n    mock_filter.all.return_value = [mock_invitation1, mock_invitation2]\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.invitation_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\"backend.database.invitation_db.as_dict\", lambda obj: obj.__dict__)\n\n    result = query_invitations_by_tenant(\"test_tenant\")\n\n    assert len(result) == 2\n    assert result[0][\"invitation_code\"] == \"code1\"\n    assert result[1][\"invitation_code\"] == \"code2\"\n\n\ndef test_add_invitation_success(monkeypatch, mock_session):\n    \"\"\"Test successfully creating invitation code\"\"\"\n    session, _ = mock_session\n    session.add = MagicMock()\n\n    mock_invitation = MockTenantInvitationCode()\n    mock_invitation.invitation_id = 123\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.invitation_db.get_db_session\", lambda: mock_ctx)\n\n    from unittest.mock import patch\n    with patch('backend.database.invitation_db.TenantInvitationCode', return_value=mock_invitation):\n        result = add_invitation(\n            tenant_id=\"test_tenant\",\n            invitation_code=\"test_code\",\n            code_type=\"ADMIN_INVITE\",\n            group_ids=[1, 2, 3],\n            capacity=5,\n            expiry_date=\"2024-12-31\",\n            status=\"IN_USE\",\n            created_by=\"test_user\"\n        )\n\n    assert result == 123\n    session.add.assert_called_once_with(mock_invitation)\n    session.flush.assert_called_once()\n\n\ndef test_add_invitation_with_group_ids_list(monkeypatch, mock_session):\n    \"\"\"Test successfully creating invitation code with group IDs as list\"\"\"\n    session, _ = mock_session\n    session.add = MagicMock()\n\n    mock_invitation = MockTenantInvitationCode()\n    mock_invitation.invitation_id = 123\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.invitation_db.get_db_session\", lambda: mock_ctx)\n\n    from unittest.mock import patch\n    with patch('backend.database.invitation_db.TenantInvitationCode', return_value=mock_invitation) as mock_constructor:\n        result = add_invitation(\n            tenant_id=\"test_tenant\",\n            invitation_code=\"test_code\",\n            code_type=\"ADMIN_INVITE\",\n            group_ids=[1, 2, 3],\n            capacity=5,\n            expiry_date=\"2024-12-31\",\n            status=\"IN_USE\",\n            created_by=\"test_user\"\n        )\n\n    assert result == 123\n    # Verify TenantInvitationCode was called with group_ids converted to string\n    mock_constructor.assert_called_once_with(\n        tenant_id=\"test_tenant\",\n        invitation_code=\"test_code\",\n        code_type=\"ADMIN_INVITE\",\n        group_ids=\"1,2,3\",  # Should be converted to comma-separated string\n        capacity=5,\n        expiry_date=\"2024-12-31\",\n        status=\"IN_USE\",\n        created_by=\"test_user\",\n        updated_by=\"test_user\"\n    )\n    session.add.assert_called_once_with(mock_invitation)\n    session.flush.assert_called_once()\n\n\ndef test_modify_invitation_success(monkeypatch, mock_session):\n    \"\"\"Test successfully updating invitation code\"\"\"\n    session, query = mock_session\n\n    # Setup query filter().update() chain\n    mock_update = MagicMock()\n    mock_update.return_value = 1  # 1 row affected\n    mock_filter = MagicMock()\n    mock_filter.update = mock_update\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.invitation_db.get_db_session\", lambda: mock_ctx)\n\n    result = modify_invitation(\n        invitation_id=123,\n        updates={\"status\": \"DISABLE\", \"capacity\": 10},\n        updated_by=\"test_user\"\n    )\n\n    assert result is True\n\n\ndef test_remove_invitation_success(monkeypatch, mock_session):\n    \"\"\"Test successfully soft deleting invitation code\"\"\"\n    session, query = mock_session\n\n    # Setup query filter().update() chain\n    mock_update = MagicMock()\n    mock_update.return_value = 1  # 1 row affected\n    mock_filter = MagicMock()\n    mock_filter.update = mock_update\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.invitation_db.get_db_session\", lambda: mock_ctx)\n\n    result = remove_invitation(invitation_id=123, updated_by=\"test_user\")\n\n    assert result is True\n\n\ndef test_query_invitation_records_success(monkeypatch, mock_session):\n    \"\"\"Test retrieving invitation records by invitation ID\"\"\"\n    session, query = mock_session\n\n    mock_record1 = MockTenantInvitationRecord(invitation_record_id=1, user_id=\"user1\")\n    mock_record2 = MockTenantInvitationRecord(invitation_record_id=2, user_id=\"user2\")\n\n    mock_filter = MagicMock()\n    mock_filter.all.return_value = [mock_record1, mock_record2]\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.invitation_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\"backend.database.invitation_db.as_dict\", lambda obj: obj.__dict__)\n\n    result = query_invitation_records(123)\n\n    assert len(result) == 2\n    assert result[0][\"user_id\"] == \"user1\"\n    assert result[1][\"user_id\"] == \"user2\"\n\n\ndef test_add_invitation_record_success(monkeypatch, mock_session):\n    \"\"\"Test successfully creating invitation record\"\"\"\n    session, _ = mock_session\n    session.add = MagicMock()\n\n    mock_record = MockTenantInvitationRecord()\n    mock_record.invitation_record_id = 456\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.invitation_db.get_db_session\", lambda: mock_ctx)\n\n    from unittest.mock import patch\n    with patch('backend.database.invitation_db.TenantInvitationRecord', return_value=mock_record):\n        result = add_invitation_record(\n            invitation_id=123,\n            user_id=\"test_user\",\n            created_by=\"test_user\"\n        )\n\n    assert result == 456\n    session.add.assert_called_once_with(mock_record)\n    session.flush.assert_called_once()\n\n\ndef test_count_invitation_usage_success(monkeypatch, mock_session):\n    \"\"\"Test getting invitation usage count\"\"\"\n    session, _ = mock_session\n\n    # Create a mock query that returns count\n    mock_specific_query = MagicMock()\n    mock_filter = MagicMock()\n    mock_filter.count.return_value = 3\n    mock_specific_query.filter.return_value = mock_filter\n\n    def mock_query_func(*args, **kwargs):\n        return mock_specific_query\n\n    session.query = mock_query_func\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.invitation_db.get_db_session\", lambda: mock_ctx)\n\n    result = count_invitation_usage(123)\n\n    assert result == 3\n\n\ndef test_get_invitation_status_in_use(monkeypatch, mock_session):\n    \"\"\"Test getting invitation status when in use\"\"\"\n    session, query = mock_session\n\n    mock_invitation = MockTenantInvitationCode()\n    mock_invitation.status = \"IN_USE\"\n\n    mock_filter = MagicMock()\n    mock_filter.first.return_value = mock_invitation\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.invitation_db.get_db_session\", lambda: mock_ctx)\n\n    result = query_invitation_status(\"test_code\")\n\n    assert result == \"IN_USE\"\n\n\ndef test_get_invitation_status_expired(monkeypatch, mock_session):\n    \"\"\"Test getting invitation status when expired\"\"\"\n    session, query = mock_session\n\n    mock_invitation = MockTenantInvitationCode()\n    mock_invitation.status = \"EXPIRE\"\n\n    mock_filter = MagicMock()\n    mock_filter.first.return_value = mock_invitation\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.invitation_db.get_db_session\", lambda: mock_ctx)\n\n    result = query_invitation_status(\"test_code\")\n\n    assert result == \"EXPIRE\"\n\n\ndef test_get_invitation_status_not_found(monkeypatch, mock_session):\n    \"\"\"Test getting invitation status when it doesn't exist\"\"\"\n    session, query = mock_session\n\n    mock_filter = MagicMock()\n    mock_filter.first.return_value = None\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.invitation_db.get_db_session\", lambda: mock_ctx)\n\n    result = query_invitation_status(\"nonexistent_code\")\n\n    assert result is None\n\n\ndef test_database_error_handling(monkeypatch, mock_session):\n    \"\"\"Test database error handling\"\"\"\n    session, query = mock_session\n    query.filter.side_effect = MockSQLAlchemyError(\"Database error\")\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.invitation_db.get_db_session\", lambda: mock_ctx)\n\n    with pytest.raises(MockSQLAlchemyError, match=\"Database error\"):\n        query_invitation_by_code(\"test_code\")\n\n\ndef test_query_invitations_with_pagination_success(monkeypatch, mock_session):\n    \"\"\"Test successfully querying invitations with pagination and usage count\"\"\"\n    session, query = mock_session\n\n    # Mock invitations data with usage counts (invitation_record, used_times)\n    mock_invitation1 = MockTenantInvitationCode(invitation_id=1, invitation_code=\"code1\")\n    mock_invitation2 = MockTenantInvitationCode(invitation_id=2, invitation_code=\"code2\")\n    mock_results = [(mock_invitation1, 3), (mock_invitation2, 0)]  # invitation1 used 3 times, invitation2 used 0 times\n\n    # Mock query chain: query -> outerjoin -> filter -> count/offset\n    mock_outerjoin = MagicMock()\n    mock_filter = MagicMock()\n    mock_filter.count.return_value = 5  # Total count\n    mock_offset = MagicMock()\n    mock_offset.limit.return_value = mock_offset\n    mock_offset.all.return_value = mock_results\n    mock_filter.offset.return_value = mock_offset\n    mock_outerjoin.filter.return_value = mock_filter\n    query.outerjoin.return_value = mock_outerjoin\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.invitation_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\"backend.database.invitation_db.as_dict\", lambda obj: obj.__dict__)\n\n    result = query_invitations_with_pagination(page=1, page_size=2)\n\n    assert result[\"total\"] == 5\n    assert result[\"page\"] == 1\n    assert result[\"page_size\"] == 2\n    assert result[\"total_pages\"] == 3  # Ceiling division: (5 + 2 - 1) // 2 = 3\n    assert len(result[\"items\"]) == 2\n    assert result[\"items\"][0][\"invitation_code\"] == \"code1\"\n    assert result[\"items\"][0][\"used_times\"] == 3\n    assert result[\"items\"][1][\"invitation_code\"] == \"code2\"\n    assert result[\"items\"][1][\"used_times\"] == 0\n\n\ndef test_query_invitations_with_pagination_empty_results(monkeypatch, mock_session):\n    \"\"\"Test querying invitations with pagination when no results\"\"\"\n    session, query = mock_session\n\n    # Mock empty results - use query -> outerjoin -> filter -> count/offset chain\n    mock_outerjoin = MagicMock()\n    mock_filter = MagicMock()\n    mock_filter.count.return_value = 0  # Total count\n    mock_offset = MagicMock()\n    mock_offset.limit.return_value = mock_offset\n    mock_offset.all.return_value = []\n    mock_filter.offset.return_value = mock_offset\n    mock_outerjoin.filter.return_value = mock_filter\n    query.outerjoin.return_value = mock_outerjoin\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.invitation_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\"backend.database.invitation_db.as_dict\", lambda obj: obj.__dict__)\n\n    result = query_invitations_with_pagination(page=1, page_size=10)\n\n    assert result[\"total\"] == 0\n    assert result[\"page\"] == 1\n    assert result[\"page_size\"] == 10\n    assert result[\"total_pages\"] == 0  # Ceiling division: (0 + 10 - 1) // 10 = 0\n    assert len(result[\"items\"]) == 0\n\n\ndef test_query_invitations_with_pagination_with_tenant_filter(monkeypatch, mock_session):\n    \"\"\"Test querying invitations with pagination and tenant filter\"\"\"\n    session, query = mock_session\n\n    # Mock invitations data with usage count\n    mock_invitation = MockTenantInvitationCode(invitation_id=1, invitation_code=\"code1\", tenant_id=\"test_tenant\")\n    mock_result = (mock_invitation, 2)  # invitation used 2 times\n\n    # Mock query chain with tenant filter: query -> outerjoin -> filter -> filter -> count/offset\n    mock_outerjoin = MagicMock()\n    mock_tenant_filter = MagicMock()\n    mock_tenant_filter.count.return_value = 1\n    mock_offset = MagicMock()\n    mock_offset.limit.return_value = mock_offset\n    mock_offset.all.return_value = [mock_result]\n    mock_tenant_filter.offset.return_value = mock_offset\n\n    # First filter (delete_flag filter)\n    mock_base_filter = MagicMock()\n    mock_base_filter.filter.return_value = mock_tenant_filter\n\n    mock_outerjoin.filter.return_value = mock_base_filter\n    query.outerjoin.return_value = mock_outerjoin\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.invitation_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\"backend.database.invitation_db.as_dict\", lambda obj: obj.__dict__)\n\n    result = query_invitations_with_pagination(tenant_id=\"test_tenant\", page=1, page_size=10)\n\n    assert result[\"total\"] == 1\n    assert result[\"page\"] == 1\n    assert result[\"page_size\"] == 10\n    assert result[\"total_pages\"] == 1\n    assert len(result[\"items\"]) == 1\n    assert result[\"items\"][0][\"tenant_id\"] == \"test_tenant\"\n    assert result[\"items\"][0][\"used_times\"] == 2\n\n\ndef test_query_invitations_with_pagination_second_page(monkeypatch, mock_session):\n    \"\"\"Test querying invitations with pagination on second page\"\"\"\n    session, query = mock_session\n\n    # Mock invitations data for second page with usage count\n    mock_invitation = MockTenantInvitationCode(invitation_id=3, invitation_code=\"code3\")\n    mock_result = (mock_invitation, 1)  # invitation used 1 time\n\n    # Mock query chain: query -> outerjoin -> filter -> count/offset\n    mock_outerjoin = MagicMock()\n    mock_filter = MagicMock()\n    mock_filter.count.return_value = 5  # Total count\n    mock_offset = MagicMock()\n    mock_offset.limit.return_value = mock_offset\n    mock_offset.all.return_value = [mock_result]\n    mock_filter.offset.return_value = mock_offset\n    mock_outerjoin.filter.return_value = mock_filter\n    query.outerjoin.return_value = mock_outerjoin\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.invitation_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\"backend.database.invitation_db.as_dict\", lambda obj: obj.__dict__)\n\n    result = query_invitations_with_pagination(page=2, page_size=2)\n\n    assert result[\"total\"] == 5\n    assert result[\"page\"] == 2\n    assert result[\"page_size\"] == 2\n    assert result[\"total_pages\"] == 3\n    assert len(result[\"items\"]) == 1\n    assert result[\"items\"][0][\"invitation_code\"] == \"code3\"\n    assert result[\"items\"][0][\"used_times\"] == 1\n\n\ndef test_query_invitations_with_pagination_database_error(monkeypatch, mock_session):\n    \"\"\"Test database error handling in pagination query\"\"\"\n    session, query = mock_session\n    query.filter.side_effect = MockSQLAlchemyError(\"Database error\")\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.invitation_db.get_db_session\", lambda: mock_ctx)\n\n    with pytest.raises(MockSQLAlchemyError, match=\"Database error\"):\n        query_invitations_with_pagination()\n\n\ndef test_query_invitations_with_pagination_with_sorting(monkeypatch, mock_session):\n    \"\"\"Test querying invitations with pagination and sorting\"\"\"\n    session, query = mock_session\n\n    # Mock invitations data with usage counts\n    mock_invitation1 = MockTenantInvitationCode(invitation_id=1, invitation_code=\"code1\")\n    mock_invitation2 = MockTenantInvitationCode(invitation_id=2, invitation_code=\"code2\")\n    mock_results = [(mock_invitation1, 3), (mock_invitation2, 0)]\n\n    # Mock the complete query chain: query -> outerjoin -> filter -> order_by -> count/offset\n    mock_outerjoin = MagicMock()\n    mock_tenant_filter = MagicMock()\n    mock_ordered = MagicMock()\n    mock_ordered.count.return_value = 5\n    mock_offset = MagicMock()\n    mock_offset.limit.return_value = MagicMock()\n    mock_offset.limit.return_value.all.return_value = mock_results\n    mock_ordered.offset.return_value = mock_offset\n\n    # Set up the chain\n    mock_tenant_filter.order_by.return_value = mock_ordered\n    mock_outerjoin.filter.return_value = mock_tenant_filter\n    query.outerjoin.return_value = mock_outerjoin\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.invitation_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\"backend.database.invitation_db.as_dict\", lambda obj: obj.__dict__)\n\n    result = query_invitations_with_pagination(\n        page=1,\n        page_size=2,\n        sort_by=\"update_time\",\n        sort_order=\"desc\"\n    )\n\n    assert result[\"total\"] == 5\n    assert result[\"page\"] == 1\n    assert result[\"page_size\"] == 2\n    assert result[\"total_pages\"] == 3\n    assert len(result[\"items\"]) == 2\n    # Verify that order_by was called\n    mock_tenant_filter.order_by.assert_called_once()\n\n\ndef test_query_invitations_with_pagination_sort_ascending(monkeypatch, mock_session):\n    \"\"\"Test querying invitations with ascending sort order\"\"\"\n    session, query = mock_session\n\n    # Mock invitations data\n    mock_invitation = MockTenantInvitationCode(invitation_id=1, invitation_code=\"code1\")\n    mock_results = [(mock_invitation, 1)]\n\n    # Mock the complete query chain: query -> outerjoin -> filter -> order_by -> count/offset\n    mock_outerjoin = MagicMock()\n    mock_tenant_filter = MagicMock()\n    mock_ordered = MagicMock()\n    mock_ordered.count.return_value = 1\n    mock_offset = MagicMock()\n    mock_offset.limit.return_value = MagicMock()\n    mock_offset.limit.return_value.all.return_value = mock_results\n    mock_ordered.offset.return_value = mock_offset\n\n    # Set up the chain\n    mock_tenant_filter.order_by.return_value = mock_ordered\n    mock_outerjoin.filter.return_value = mock_tenant_filter\n    query.outerjoin.return_value = mock_outerjoin\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.invitation_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\"backend.database.invitation_db.as_dict\", lambda obj: obj.__dict__)\n\n    result = query_invitations_with_pagination(\n        page=1,\n        page_size=10,\n        sort_by=\"create_time\",\n        sort_order=\"asc\"\n    )\n\n    assert result[\"total\"] == 1\n    assert len(result[\"items\"]) == 1\n    # Verify that order_by was called\n    mock_tenant_filter.order_by.assert_called_once()\n\n\ndef test_query_invitations_with_pagination_no_sorting(monkeypatch, mock_session):\n    \"\"\"Test querying invitations with pagination but no sorting parameters\"\"\"\n    session, query = mock_session\n\n    # Mock invitations data\n    mock_invitation = MockTenantInvitationCode(invitation_id=1, invitation_code=\"code1\")\n    mock_results = [(mock_invitation, 1)]\n\n    # Mock the complete query chain: query -> outerjoin -> filter -> count/offset (no order_by)\n    mock_outerjoin = MagicMock()\n    mock_tenant_filter = MagicMock()\n    mock_tenant_filter.count.return_value = 1\n    mock_offset = MagicMock()\n    mock_offset.limit.return_value = MagicMock()\n    mock_offset.limit.return_value.all.return_value = mock_results\n    mock_tenant_filter.offset.return_value = mock_offset\n\n    # Set up the chain\n    mock_outerjoin.filter.return_value = mock_tenant_filter\n    query.outerjoin.return_value = mock_outerjoin\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.invitation_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\"backend.database.invitation_db.as_dict\", lambda obj: obj.__dict__)\n\n    result = query_invitations_with_pagination(page=1, page_size=10)\n\n    assert result[\"total\"] == 1\n    assert len(result[\"items\"]) == 1\n    # Verify that order_by was NOT called when no sorting parameters provided\n    mock_tenant_filter.order_by.assert_not_called()"
  },
  {
    "path": "test/backend/database/test_knowledge_db.py",
    "content": "\"\"\"\nUnit tests for backend/database/knowledge_db.py\nTests knowledge database utility functions\n\"\"\"\n\nimport sys\nimport os\nimport types\nfrom datetime import datetime\nfrom unittest.mock import MagicMock, patch, call\nimport pytest\n\n# Add backend directory to Python path for proper imports\nproject_root = os.path.abspath(os.path.join(\n    os.path.dirname(__file__), '../../../'))\nbackend_dir = os.path.join(project_root, 'backend')\nif backend_dir not in sys.path:\n    sys.path.insert(0, backend_dir)\n\n# Patch boto3 and other dependencies before importing anything from backend\nboto3_mock = MagicMock()\nsys.modules['boto3'] = boto3_mock\n\n# Apply critical patches before importing any modules\n# This prevents real AWS/MinIO/Elasticsearch calls during import\npatch('botocore.client.BaseClient._make_api_call', return_value={}).start()\n\n# Patch storage factory and MinIO config validation to avoid errors during initialization\nstorage_client_mock = MagicMock()\nminio_client_mock = MagicMock()\nminio_client_mock._ensure_bucket_exists = MagicMock()\nminio_client_mock.client = MagicMock()\n\n# Mock the entire MinIOStorageConfig class to avoid validation\nminio_config_mock = MagicMock()\nminio_config_mock.validate = MagicMock()\n\n# Import backend modules after all patches are applied\n# Use additional context manager to ensure MinioClient is properly mocked during import\nwith patch('backend.database.client.MinioClient', return_value=minio_client_mock), \\\n        patch('nexent.storage.minio_config.MinIOStorageConfig', return_value=minio_config_mock):\n    from backend.database.knowledge_db import (\n        create_knowledge_record,\n        update_knowledge_record,\n        delete_knowledge_record,\n        get_knowledge_record,\n        get_knowledge_info_by_knowledge_ids,\n        get_knowledge_ids_by_index_names,\n        get_knowledge_info_by_tenant_id,\n        update_model_name_by_index_name,\n        get_index_name_by_knowledge_name,\n        get_knowledge_info_by_tenant_and_source,\n        upsert_knowledge_record,\n        _generate_index_name\n    )\n\n\n# Add project root to Python path\nsys.path.insert(0, os.path.abspath(os.path.join(\n    os.path.dirname(__file__), '..', '..', '..')))\n\n# Mock consts module to use conftest environment variables\nconsts_mock = MagicMock()\nconsts_mock.const = MagicMock()\n# Set constants to match conftest.py values\nconsts_mock.const.MINIO_ENDPOINT = 'http://localhost:9000'\nconsts_mock.const.MINIO_ACCESS_KEY = 'minioadmin'\nconsts_mock.const.MINIO_SECRET_KEY = 'minioadmin'\nconsts_mock.const.MINIO_REGION = 'us-east-1'\nconsts_mock.const.MINIO_DEFAULT_BUCKET = 'test-bucket'\nconsts_mock.const.POSTGRES_HOST = 'localhost'\nconsts_mock.const.POSTGRES_USER = 'test_user'\nconsts_mock.const.NEXENT_POSTGRES_PASSWORD = 'test_password'\nconsts_mock.const.POSTGRES_DB = 'test_db'\nconsts_mock.const.POSTGRES_PORT = '5432'\nconsts_mock.const.DEFAULT_TENANT_ID = 'default_tenant'\n\nsys.modules['consts'] = consts_mock\nsys.modules['consts.const'] = consts_mock.const\n\n# Mock MinioClient to prevent connection attempts\nminio_client_mock = MagicMock()\npostgres_client_mock = MagicMock()\n\n# Mock the entire client module\nclient_mock = MagicMock()\nclient_mock.MinioClient = minio_client_mock\nclient_mock.PostgresClient = postgres_client_mock\nclient_mock.db_client = MagicMock()\nclient_mock.get_db_session = MagicMock()\nclient_mock.as_dict = MagicMock()\nclient_mock.filter_property = MagicMock()\n\n# Mock utils module\nutils_mock = MagicMock()\nutils_mock.auth_utils = MagicMock()\nutils_mock.auth_utils.get_current_user_id_from_token = MagicMock(\n    return_value=\"test_user_id\")\nutils_mock.str_utils = MagicMock()\nutils_mock.str_utils.convert_list_to_string = MagicMock(\n    side_effect=lambda x: \",\".join(str(i) for i in x) if x else \"\")\n\n# Add the mocked utils module to sys.modules\nsys.modules['utils'] = utils_mock\nsys.modules['utils.auth_utils'] = utils_mock.auth_utils\nsys.modules['utils.str_utils'] = utils_mock.str_utils\n\n# Provide a stub for the `boto3` module so that it can be imported safely even\n# if the testing environment does not have it available.\nboto3_mock = MagicMock()\nsys.modules['boto3'] = boto3_mock\n\n# Mock sqlalchemy module\nsqlalchemy_mock = MagicMock()\nsqlalchemy_mock.func = MagicMock()\nsqlalchemy_mock.func.current_timestamp = MagicMock(\n    return_value=\"2023-01-01 00:00:00\")\nsqlalchemy_mock.exc = MagicMock()\n\n\nclass MockSQLAlchemyError(Exception):\n    pass\n\n\nsqlalchemy_mock.exc.SQLAlchemyError = MockSQLAlchemyError\n\n# Add the mocked sqlalchemy module to sys.modules\nsys.modules['sqlalchemy'] = sqlalchemy_mock\nsys.modules['sqlalchemy.exc'] = sqlalchemy_mock.exc\n\n# Mock db_models module\ndb_models_mock = MagicMock()\n\n\nclass MockKnowledgeRecord:\n    def __init__(self, **kwargs):\n        self.knowledge_id = kwargs.get('knowledge_id', 1)\n        self.index_name = kwargs.get('index_name', 'test_index')\n        self.knowledge_name = kwargs.get('knowledge_name', 'test_index')\n        self.knowledge_describe = kwargs.get(\n            'knowledge_describe', 'test description')\n        self.created_by = kwargs.get('created_by', 'test_user')\n        self.updated_by = kwargs.get('updated_by', 'test_user')\n        self.knowledge_sources = kwargs.get(\n            'knowledge_sources', 'elasticsearch')\n        self.tenant_id = kwargs.get('tenant_id', 'test_tenant')\n        self.embedding_model_name = kwargs.get(\n            'embedding_model_name', 'test_model')\n        self.group_ids = kwargs.get('group_ids', '1,2,3')  # New field\n        self.ingroup_permission = kwargs.get(\n            'ingroup_permission', 'READ_ONLY')  # New field, corrected name\n        self.delete_flag = kwargs.get('delete_flag', 'N')\n        self.update_time = kwargs.get('update_time', \"2023-01-01 00:00:00\")\n\n    # Mock SQLAlchemy column attributes\n    knowledge_id = MagicMock(name=\"knowledge_id_column\")\n    index_name = MagicMock(name=\"index_name_column\")\n    knowledge_name = MagicMock(name=\"knowledge_name_column\")\n    knowledge_describe = MagicMock(name=\"knowledge_describe_column\")\n    created_by = MagicMock(name=\"created_by_column\")\n    updated_by = MagicMock(name=\"updated_by_column\")\n    knowledge_sources = MagicMock(name=\"knowledge_sources_column\")\n    tenant_id = MagicMock(name=\"tenant_id_column\")\n    embedding_model_name = MagicMock(name=\"embedding_model_name_column\")\n    group_ids = MagicMock(name=\"group_ids_column\")  # New field\n    ingroup_permission = MagicMock(\n        name=\"ingroup_permission_column\")  # New field, corrected name\n    delete_flag = MagicMock(name=\"delete_flag_column\")\n    update_time = MagicMock(name=\"update_time_column\")\n\n\ndb_models_mock.KnowledgeRecord = MockKnowledgeRecord\n\n# Add the mocked db_models module to sys.modules\nsys.modules['database.db_models'] = db_models_mock\nsys.modules['backend.database.db_models'] = db_models_mock\n\n# Add the mocked client module to sys.modules before importing knowledge_db\nsys.modules['database.client'] = client_mock\nsys.modules['backend.database.client'] = client_mock\n\n# Import functions after mocks are set up\n\n# Now we can safely import the module under test\n\n\n@pytest.fixture\ndef mock_session():\n    \"\"\"Create a mock database session\"\"\"\n    mock_session = MagicMock()\n    mock_query = MagicMock()\n    mock_session.query.return_value = mock_query\n    return mock_session, mock_query\n\n\ndef test_create_knowledge_record_success(monkeypatch, mock_session):\n    \"\"\"Test successful creation of knowledge record\"\"\"\n    session, _ = mock_session\n\n    # Create mock knowledge record\n    mock_record = MockKnowledgeRecord(knowledge_name=\"test_knowledge\")\n    mock_record.knowledge_id = 123\n    mock_record.index_name = \"test_knowledge\"\n\n    # Mock database session context\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    # Mock the context manager to call rollback on exception, like the real get_db_session does\n\n    def mock_exit(exc_type, exc_val, exc_tb):\n        if exc_type is not None:\n            session.rollback()\n        return None  # Don't suppress the exception\n    mock_ctx.__exit__.side_effect = mock_exit\n    monkeypatch.setattr(\n        \"backend.database.knowledge_db.get_db_session\", lambda: mock_ctx)\n\n    # Prepare test data\n    test_query = {\n        \"index_name\": \"test_knowledge\",\n        \"knowledge_describe\": \"Test knowledge description\",\n        \"user_id\": \"test_user\",\n        \"tenant_id\": \"test_tenant\",\n        \"embedding_model_name\": \"test_model\",\n        \"knowledge_name\": \"test_knowledge\",\n        \"group_ids\": [1, 2, 3],\n        \"ingroup_permission\": \"READ_ONLY\"\n    }\n\n    # Mock KnowledgeRecord constructor\n    with patch('backend.database.knowledge_db.KnowledgeRecord', return_value=mock_record):\n        result = create_knowledge_record(test_query)\n\n    assert result == {\n        \"knowledge_id\": 123,\n        \"index_name\": \"test_knowledge\",\n        \"knowledge_name\": \"test_knowledge\",\n    }\n    session.add.assert_called_once_with(mock_record)\n    assert session.flush.call_count == 1\n    session.commit.assert_called_once()\n\n\ndef test_create_knowledge_record_with_group_ids_list(monkeypatch, mock_session):\n    \"\"\"Test successful creation of knowledge record with group IDs as list\"\"\"\n    session, _ = mock_session\n\n    # Create mock knowledge record\n    mock_record = MockKnowledgeRecord(knowledge_name=\"test_knowledge\")\n    mock_record.knowledge_id = 123\n    mock_record.index_name = \"test_knowledge\"\n\n    # Mock database session context\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    # Mock the context manager to call rollback on exception, like the real get_db_session does\n\n    def mock_exit(exc_type, exc_val, exc_tb):\n        if exc_type is not None:\n            session.rollback()\n        return None  # Don't suppress the exception\n    mock_ctx.__exit__.side_effect = mock_exit\n    monkeypatch.setattr(\n        \"backend.database.knowledge_db.get_db_session\", lambda: mock_ctx)\n\n    # Prepare test data with group_ids as list\n    test_query = {\n        \"index_name\": \"test_knowledge\",\n        \"knowledge_describe\": \"Test knowledge description\",\n        \"user_id\": \"test_user\",\n        \"tenant_id\": \"test_tenant\",\n        \"embedding_model_name\": \"test_model\",\n        \"knowledge_name\": \"test_knowledge\",\n        \"group_ids\": [1, 2, 3],\n        \"ingroup_permission\": \"READ_ONLY\"\n    }\n\n    # Mock KnowledgeRecord constructor\n    with patch('backend.database.knowledge_db.KnowledgeRecord', return_value=mock_record) as mock_constructor:\n        result = create_knowledge_record(test_query)\n\n    assert result == {\n        \"knowledge_id\": 123,\n        \"index_name\": \"test_knowledge\",\n        \"knowledge_name\": \"test_knowledge\",\n    }\n    # Verify KnowledgeRecord was called with group_ids converted to string\n    mock_constructor.assert_called_once()\n    call_kwargs = mock_constructor.call_args[1]  # Get kwargs from the call\n    # Should be converted to comma-separated string\n    assert call_kwargs[\"group_ids\"] == \"1,2,3\"\n    session.add.assert_called_once_with(mock_record)\n    assert session.flush.call_count == 1\n    session.commit.assert_called_once()\n\n\ndef test_create_knowledge_record_exception(monkeypatch, mock_session):\n    \"\"\"Test exception during knowledge record creation\"\"\"\n    session, _ = mock_session\n    session.add.side_effect = MockSQLAlchemyError(\"Database error\")\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    # Mock the context manager to call rollback on exception, like the real get_db_session does\n\n    def mock_exit(exc_type, exc_val, exc_tb):\n        if exc_type is not None:\n            session.rollback()\n        return None  # Don't suppress the exception\n    mock_ctx.__exit__.side_effect = mock_exit\n    monkeypatch.setattr(\n        \"backend.database.knowledge_db.get_db_session\", lambda: mock_ctx)\n\n    test_query = {\n        \"index_name\": \"test_knowledge\",\n        \"knowledge_describe\": \"Test knowledge description\",\n        \"user_id\": \"test_user\",\n        \"tenant_id\": \"test_tenant\",\n        \"embedding_model_name\": \"test_model\"\n    }\n\n    mock_record = MockKnowledgeRecord()\n    with patch('backend.database.knowledge_db.KnowledgeRecord', return_value=mock_record):\n        with pytest.raises(MockSQLAlchemyError, match=\"Database error\"):\n            create_knowledge_record(test_query)\n\n    session.rollback.assert_called_once()\n\n\ndef test_create_knowledge_record_generates_index_name(monkeypatch, mock_session):\n    \"\"\"Test create_knowledge_record generates index_name when not provided\"\"\"\n    session, _ = mock_session\n\n    mock_record = MockKnowledgeRecord(knowledge_name=\"kb1\")\n    mock_record.knowledge_id = 7\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    # Mock the context manager to call rollback on exception, like the real get_db_session does\n\n    def mock_exit(exc_type, exc_val, exc_tb):\n        if exc_type is not None:\n            session.rollback()\n        return None  # Don't suppress the exception\n    mock_ctx.__exit__.side_effect = mock_exit\n    monkeypatch.setattr(\n        \"backend.database.knowledge_db.get_db_session\", lambda: mock_ctx)\n\n    # Deterministic index name\n    monkeypatch.setattr(\n        \"backend.database.knowledge_db._generate_index_name\", lambda _: \"7-generated\")\n\n    test_query = {\n        \"knowledge_describe\": \"desc\",\n        \"user_id\": \"user-1\",\n        \"tenant_id\": \"tenant-1\",\n        \"embedding_model_name\": \"model-x\",\n        \"knowledge_name\": \"kb1\",\n    }\n\n    with patch('backend.database.knowledge_db.KnowledgeRecord', return_value=mock_record):\n        result = create_knowledge_record(test_query)\n\n    assert result == {\n        \"knowledge_id\": 7,\n        \"index_name\": \"7-generated\",\n        \"knowledge_name\": \"kb1\",\n    }\n    assert mock_record.index_name == \"7-generated\"\n    assert session.flush.call_count == 2  # initial insert + index_name update\n    session.commit.assert_called_once()\n\n\ndef test_update_knowledge_record_success(monkeypatch, mock_session):\n    \"\"\"Test successful update of knowledge record\"\"\"\n    session, query = mock_session\n\n    # Create mock knowledge record\n    mock_record = MockKnowledgeRecord()\n    mock_record.knowledge_describe = \"old description\"\n    mock_record.embedding_model_name = \"old_model\"\n\n    mock_filter = MagicMock()\n    mock_filter.first.return_value = mock_record\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    # Mock the context manager to call rollback on exception, like the real get_db_session does\n\n    def mock_exit(exc_type, exc_val, exc_tb):\n        if exc_type is not None:\n            session.rollback()\n        return None  # Don't suppress the exception\n    mock_ctx.__exit__.side_effect = mock_exit\n    monkeypatch.setattr(\n        \"backend.database.knowledge_db.get_db_session\", lambda: mock_ctx)\n\n    test_query = {\n        \"index_name\": \"test_knowledge\",\n        \"knowledge_describe\": \"Updated description\",\n        \"user_id\": \"test_user\"\n    }\n\n    result = update_knowledge_record(test_query)\n\n    assert result is True\n    assert mock_record.knowledge_describe == \"Updated description\"\n    assert mock_record.updated_by == \"test_user\"\n    session.flush.assert_called_once()\n    session.commit.assert_called_once()\n\n\ndef test_update_knowledge_record_updates_all_fields(monkeypatch, mock_session):\n    \"\"\"Test successful update of all knowledge record fields\"\"\"\n    session, query = mock_session\n\n    # Create mock knowledge record\n    mock_record = MockKnowledgeRecord()\n    mock_record.knowledge_name = \"Old Name\"\n    mock_record.knowledge_describe = \"Old description\"\n    mock_record.ingroup_permission = \"READ_ONLY\"\n    mock_record.group_ids = \"1,2\"\n    mock_record.updated_by = \"old_user\"\n\n    mock_filter = MagicMock()\n    mock_filter.first.return_value = mock_record\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n\n    def mock_exit(exc_type, exc_val, exc_tb):\n        if exc_type is not None:\n            session.rollback()\n        return None\n    mock_ctx.__exit__.side_effect = mock_exit\n    monkeypatch.setattr(\n        \"backend.database.knowledge_db.get_db_session\", lambda: mock_ctx)\n\n    test_query = {\n        \"index_name\": \"test_knowledge\",\n        \"knowledge_name\": \"New Name\",\n        \"knowledge_describe\": \"Updated description\",\n        \"ingroup_permission\": \"EDIT\",\n        \"group_ids\": \"3,4,5\",\n        \"user_id\": \"test_user\"\n    }\n\n    result = update_knowledge_record(test_query)\n\n    assert result is True\n    assert mock_record.knowledge_name == \"New Name\"\n    assert mock_record.knowledge_describe == \"Updated description\"\n    assert mock_record.ingroup_permission == \"EDIT\"\n    assert mock_record.group_ids == \"3,4,5\"\n    assert mock_record.updated_by == \"test_user\"\n    session.flush.assert_called_once()\n    session.commit.assert_called_once()\n\n\ndef test_update_knowledge_record_partial_update(monkeypatch, mock_session):\n    \"\"\"Test partial update - only updating name and permission\"\"\"\n    session, query = mock_session\n\n    # Create mock knowledge record\n    mock_record = MockKnowledgeRecord()\n    mock_record.knowledge_name = \"Old Name\"\n    mock_record.knowledge_describe = \"Old description\"\n    mock_record.ingroup_permission = \"READ_ONLY\"\n    mock_record.group_ids = \"1,2\"\n\n    mock_filter = MagicMock()\n    mock_filter.first.return_value = mock_record\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n\n    def mock_exit(exc_type, exc_val, exc_tb):\n        if exc_type is not None:\n            session.rollback()\n        return None\n    mock_ctx.__exit__.side_effect = mock_exit\n    monkeypatch.setattr(\n        \"backend.database.knowledge_db.get_db_session\", lambda: mock_ctx)\n\n    test_query = {\n        \"index_name\": \"test_knowledge\",\n        \"knowledge_name\": \"New Name\",\n        \"ingroup_permission\": \"EDIT\",\n    }\n\n    result = update_knowledge_record(test_query)\n\n    assert result is True\n    # Only name and permission should be updated\n    assert mock_record.knowledge_name == \"New Name\"\n    assert mock_record.ingroup_permission == \"EDIT\"\n    # Description and group_ids should remain unchanged\n    assert mock_record.knowledge_describe == \"Old description\"\n    assert mock_record.group_ids == \"1,2\"\n    session.flush.assert_called_once()\n    session.commit.assert_called_once()\n\n\ndef test_update_knowledge_record_not_found(monkeypatch, mock_session):\n    \"\"\"Test updating non-existent knowledge record\"\"\"\n    session, query = mock_session\n\n    mock_filter = MagicMock()\n    mock_filter.first.return_value = None\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    # Mock the context manager to call rollback on exception, like the real get_db_session does\n\n    def mock_exit(exc_type, exc_val, exc_tb):\n        if exc_type is not None:\n            session.rollback()\n        return None  # Don't suppress the exception\n    mock_ctx.__exit__.side_effect = mock_exit\n    monkeypatch.setattr(\n        \"backend.database.knowledge_db.get_db_session\", lambda: mock_ctx)\n\n    test_query = {\n        \"index_name\": \"nonexistent_knowledge\",\n        \"knowledge_describe\": \"Updated description\",\n        \"user_id\": \"test_user\"\n    }\n\n    result = update_knowledge_record(test_query)\n\n    assert result is False\n\n\ndef test_update_knowledge_record_without_knowledge_describe(monkeypatch, mock_session):\n    \"\"\"Test update knowledge record without knowledge_describe field (field handled separately)\"\"\"\n    session, query = mock_session\n\n    # Create mock knowledge record\n    mock_record = MockKnowledgeRecord()\n    mock_record.knowledge_describe = \"original description\"\n    mock_record.updated_by = \"original_user\"\n\n    mock_filter = MagicMock()\n    mock_filter.first.return_value = mock_record\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n\n    def mock_exit(exc_type, exc_val, exc_tb):\n        if exc_type is not None:\n            session.rollback()\n        return None\n    mock_ctx.__exit__.side_effect = mock_exit\n    monkeypatch.setattr(\n        \"backend.database.knowledge_db.get_db_session\", lambda: mock_ctx)\n\n    # Test query without knowledge_describe field\n    test_query = {\n        \"index_name\": \"test_knowledge\",\n        \"user_id\": \"test_user\"\n    }\n\n    result = update_knowledge_record(test_query)\n\n    assert result is True\n    # knowledge_describe should remain unchanged when not provided\n    assert mock_record.knowledge_describe == \"original description\"\n    # updated_by should be updated\n    assert mock_record.updated_by == \"test_user\"\n    session.flush.assert_called_once()\n    session.commit.assert_called_once()\n\n\ndef test_update_knowledge_record_exception(monkeypatch, mock_session):\n    \"\"\"Test exception during knowledge record update\"\"\"\n    session, query = mock_session\n    session.flush.side_effect = MockSQLAlchemyError(\"Database error\")\n\n    mock_record = MockKnowledgeRecord()\n    mock_filter = MagicMock()\n    mock_filter.first.return_value = mock_record\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    # Mock the context manager to call rollback on exception, like the real get_db_session does\n\n    def mock_exit(exc_type, exc_val, exc_tb):\n        if exc_type is not None:\n            session.rollback()\n        return None  # Don't suppress the exception\n    mock_ctx.__exit__.side_effect = mock_exit\n    monkeypatch.setattr(\n        \"backend.database.knowledge_db.get_db_session\", lambda: mock_ctx)\n\n    test_query = {\n        \"index_name\": \"test_knowledge\",\n        \"knowledge_describe\": \"Updated description\",\n        \"user_id\": \"test_user\"\n    }\n\n    with pytest.raises(MockSQLAlchemyError, match=\"Database error\"):\n        update_knowledge_record(test_query)\n\n    session.rollback.assert_called_once()\n\n\ndef test_delete_knowledge_record_success(monkeypatch, mock_session):\n    \"\"\"Test successful deletion of knowledge record (soft delete)\"\"\"\n    session, query = mock_session\n\n    # Create mock knowledge record\n    mock_record = MockKnowledgeRecord()\n    mock_record.delete_flag = 'N'\n\n    mock_filter = MagicMock()\n    mock_filter.first.return_value = mock_record\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    # Mock the context manager to call rollback on exception, like the real get_db_session does\n\n    def mock_exit(exc_type, exc_val, exc_tb):\n        if exc_type is not None:\n            session.rollback()\n        return None  # Don't suppress the exception\n    mock_ctx.__exit__.side_effect = mock_exit\n    monkeypatch.setattr(\n        \"backend.database.knowledge_db.get_db_session\", lambda: mock_ctx)\n\n    test_query = {\n        \"index_name\": \"test_knowledge\",\n        \"user_id\": \"test_user\"\n    }\n\n    result = delete_knowledge_record(test_query)\n\n    assert result is True\n    assert mock_record.delete_flag == 'Y'\n    assert mock_record.updated_by == \"test_user\"\n    session.flush.assert_called_once()\n    session.commit.assert_called_once()\n\n\ndef test_delete_knowledge_record_not_found(monkeypatch, mock_session):\n    \"\"\"Test deleting non-existent knowledge record\"\"\"\n    session, query = mock_session\n\n    mock_filter = MagicMock()\n    mock_filter.first.return_value = None\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    # Mock the context manager to call rollback on exception, like the real get_db_session does\n\n    def mock_exit(exc_type, exc_val, exc_tb):\n        if exc_type is not None:\n            session.rollback()\n        return None  # Don't suppress the exception\n    mock_ctx.__exit__.side_effect = mock_exit\n    monkeypatch.setattr(\n        \"backend.database.knowledge_db.get_db_session\", lambda: mock_ctx)\n\n    test_query = {\n        \"index_name\": \"nonexistent_knowledge\",\n        \"user_id\": \"test_user\"\n    }\n\n    result = delete_knowledge_record(test_query)\n\n    assert result is False\n\n\ndef test_delete_knowledge_record_exception(monkeypatch, mock_session):\n    \"\"\"Test exception during knowledge record deletion\"\"\"\n    session, query = mock_session\n    session.flush.side_effect = MockSQLAlchemyError(\"Database error\")\n\n    mock_record = MockKnowledgeRecord()\n    mock_filter = MagicMock()\n    mock_filter.first.return_value = mock_record\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    # Mock the context manager to call rollback on exception, like the real get_db_session does\n\n    def mock_exit(exc_type, exc_val, exc_tb):\n        if exc_type is not None:\n            session.rollback()\n        return None  # Don't suppress the exception\n    mock_ctx.__exit__.side_effect = mock_exit\n    monkeypatch.setattr(\n        \"backend.database.knowledge_db.get_db_session\", lambda: mock_ctx)\n\n    test_query = {\n        \"index_name\": \"test_knowledge\",\n        \"user_id\": \"test_user\"\n    }\n\n    with pytest.raises(MockSQLAlchemyError, match=\"Database error\"):\n        delete_knowledge_record(test_query)\n\n    session.rollback.assert_called_once()\n\n\ndef test_get_knowledge_record_found(monkeypatch, mock_session):\n    \"\"\"Test successfully retrieving knowledge record\"\"\"\n    session, query = mock_session\n\n    # Create mock knowledge record\n    mock_record = MockKnowledgeRecord()\n    mock_record.knowledge_id = 123\n    mock_record.index_name = \"test_knowledge\"\n\n    mock_filter = MagicMock()\n    mock_filter.first.return_value = mock_record\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    # Mock the context manager to call rollback on exception, like the real get_db_session does\n\n    def mock_exit(exc_type, exc_val, exc_tb):\n        if exc_type is not None:\n            session.rollback()\n        return None  # Don't suppress the exception\n    mock_ctx.__exit__.side_effect = mock_exit\n    monkeypatch.setattr(\n        \"backend.database.knowledge_db.get_db_session\", lambda: mock_ctx)\n\n    # Mock as_dict function\n    expected_result = {\n        \"knowledge_id\": 123,\n        \"index_name\": \"test_knowledge\",\n        \"knowledge_describe\": \"test description\"\n    }\n    monkeypatch.setattr(\n        \"backend.database.knowledge_db.as_dict\", lambda x: expected_result)\n\n    test_query = {\n        \"index_name\": \"test_knowledge\",\n        \"tenant_id\": \"test_tenant\"\n    }\n\n    result = get_knowledge_record(test_query)\n\n    assert result == expected_result\n\n\ndef test_get_knowledge_record_not_found(monkeypatch, mock_session):\n    \"\"\"Test retrieving non-existent knowledge record\"\"\"\n    session, query = mock_session\n\n    mock_filter = MagicMock()\n    mock_filter.first.return_value = None\n    mock_filter.filter.return_value = mock_filter  # Support chaining\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    # Mock the context manager to call rollback on exception, like the real get_db_session does\n\n    def mock_exit(exc_type, exc_val, exc_tb):\n        if exc_type is not None:\n            session.rollback()\n        return None  # Don't suppress the exception\n    mock_ctx.__exit__.side_effect = mock_exit\n    monkeypatch.setattr(\n        \"backend.database.knowledge_db.get_db_session\", lambda: mock_ctx)\n\n    test_query = {\n        \"index_name\": \"nonexistent_knowledge\"\n    }\n\n    result = get_knowledge_record(test_query)\n\n    assert result == {}\n\n\ndef test_get_knowledge_record_without_tenant_id(monkeypatch, mock_session):\n    \"\"\"Test retrieving knowledge record without tenant_id\"\"\"\n    session, query = mock_session\n\n    mock_record = MockKnowledgeRecord()\n    mock_filter = MagicMock()\n    mock_filter.first.return_value = mock_record\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    # Mock the context manager to call rollback on exception, like the real get_db_session does\n\n    def mock_exit(exc_type, exc_val, exc_tb):\n        if exc_type is not None:\n            session.rollback()\n        return None  # Don't suppress the exception\n    mock_ctx.__exit__.side_effect = mock_exit\n    monkeypatch.setattr(\n        \"backend.database.knowledge_db.get_db_session\", lambda: mock_ctx)\n\n    expected_result = {\"knowledge_id\": 1}\n    monkeypatch.setattr(\n        \"backend.database.knowledge_db.as_dict\", lambda x: expected_result)\n\n    test_query = {\n        \"index_name\": \"test_knowledge\"\n        # Note: no tenant_id\n    }\n\n    result = get_knowledge_record(test_query)\n\n    assert result == expected_result\n\n\ndef test_get_knowledge_record_exception(monkeypatch, mock_session):\n    \"\"\"Test exception during knowledge record retrieval\"\"\"\n    session, query = mock_session\n    query.filter.side_effect = MockSQLAlchemyError(\"Database error\")\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    # Mock the context manager to call rollback on exception, like the real get_db_session does\n\n    def mock_exit(exc_type, exc_val, exc_tb):\n        if exc_type is not None:\n            session.rollback()\n        return None  # Don't suppress the exception\n    mock_ctx.__exit__.side_effect = mock_exit\n    monkeypatch.setattr(\n        \"backend.database.knowledge_db.get_db_session\", lambda: mock_ctx)\n\n    test_query = {\n        \"index_name\": \"test_knowledge\"\n    }\n\n    with pytest.raises(MockSQLAlchemyError, match=\"Database error\"):\n        get_knowledge_record(test_query)\n\n\ndef test_get_knowledge_record_with_none_query(monkeypatch, mock_session):\n    \"\"\"Test get_knowledge_record with None query raises TypeError\"\"\"\n    session, query = mock_session\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    # Mock the context manager to call rollback on exception, like the real get_db_session does\n\n    def mock_exit(exc_type, exc_val, exc_tb):\n        if exc_type is not None:\n            session.rollback()\n        return None  # Don't suppress the exception\n    mock_ctx.__exit__.side_effect = mock_exit\n    monkeypatch.setattr(\n        \"backend.database.knowledge_db.get_db_session\", lambda: mock_ctx)\n\n    # When query is None, checking 'index_name' in query will raise TypeError\n    with pytest.raises(TypeError, match=\"argument of type 'NoneType' is not iterable\"):\n        get_knowledge_record(None)\n\n\ndef test_get_knowledge_record_without_index_name_key(monkeypatch, mock_session):\n    \"\"\"Test get_knowledge_record with query missing index_name and knowledge_name keys\"\"\"\n    session, query = mock_session\n\n    mock_filter = MagicMock()\n    mock_filter.first.return_value = None\n    mock_filter.filter.return_value = mock_filter  # Support chaining\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    # Mock the context manager to call rollback on exception, like the real get_db_session does\n\n    def mock_exit(exc_type, exc_val, exc_tb):\n        if exc_type is not None:\n            session.rollback()\n        return None  # Don't suppress the exception\n    mock_ctx.__exit__.side_effect = mock_exit\n    monkeypatch.setattr(\n        \"backend.database.knowledge_db.get_db_session\", lambda: mock_ctx)\n\n    # When query doesn't have 'index_name' or 'knowledge_name' key, no specific filter is applied\n    test_query = {\n        \"tenant_id\": \"test_tenant\"\n        # Missing index_name and knowledge_name keys\n    }\n\n    result = get_knowledge_record(test_query)\n\n    assert result == {}\n\n\ndef test_get_knowledge_info_by_knowledge_ids_success(monkeypatch, mock_session):\n    \"\"\"Test retrieving knowledge info by knowledge ID list\"\"\"\n    session, query = mock_session\n\n    # Create a list of mock knowledge records\n    mock_record1 = MockKnowledgeRecord()\n    mock_record1.knowledge_id = 1\n    mock_record1.index_name = \"knowledge1\"\n    mock_record1.knowledge_name = \"Knowledge Base 1\"\n    mock_record1.knowledge_sources = \"elasticsearch\"\n    mock_record1.embedding_model_name = \"model1\"\n\n    mock_record2 = MockKnowledgeRecord()\n    mock_record2.knowledge_id = 2\n    mock_record2.index_name = \"knowledge2\"\n    mock_record2.knowledge_name = \"Knowledge Base 2\"\n    mock_record2.knowledge_sources = \"vectordb\"\n    mock_record2.embedding_model_name = \"model2\"\n\n    mock_filter = MagicMock()\n    mock_filter.all.return_value = [mock_record1, mock_record2]\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    # Mock the context manager to call rollback on exception, like the real get_db_session does\n\n    def mock_exit(exc_type, exc_val, exc_tb):\n        if exc_type is not None:\n            session.rollback()\n        return None  # Don't suppress the exception\n    mock_ctx.__exit__.side_effect = mock_exit\n    monkeypatch.setattr(\n        \"backend.database.knowledge_db.get_db_session\", lambda: mock_ctx)\n\n    knowledge_ids = [\"1\", \"2\"]\n    result = get_knowledge_info_by_knowledge_ids(knowledge_ids)\n\n    expected = [\n        {\n            \"knowledge_id\": 1,\n            \"index_name\": \"knowledge1\",\n            \"knowledge_name\": \"Knowledge Base 1\",\n            \"knowledge_sources\": \"elasticsearch\",\n            \"embedding_model_name\": \"model1\"\n        },\n        {\n            \"knowledge_id\": 2,\n            \"index_name\": \"knowledge2\",\n            \"knowledge_name\": \"Knowledge Base 2\",\n            \"knowledge_sources\": \"vectordb\",\n            \"embedding_model_name\": \"model2\"\n        }\n    ]\n\n    assert result == expected\n\n\ndef test_get_knowledge_info_by_knowledge_ids_exception(monkeypatch, mock_session):\n    \"\"\"Test exception when retrieving knowledge info by knowledge ID list\"\"\"\n    session, query = mock_session\n    query.filter.side_effect = MockSQLAlchemyError(\"Database error\")\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    # Mock the context manager to call rollback on exception, like the real get_db_session does\n\n    def mock_exit(exc_type, exc_val, exc_tb):\n        if exc_type is not None:\n            session.rollback()\n        return None  # Don't suppress the exception\n    mock_ctx.__exit__.side_effect = mock_exit\n    monkeypatch.setattr(\n        \"backend.database.knowledge_db.get_db_session\", lambda: mock_ctx)\n\n    knowledge_ids = [\"1\", \"2\"]\n\n    with pytest.raises(MockSQLAlchemyError, match=\"Database error\"):\n        get_knowledge_info_by_knowledge_ids(knowledge_ids)\n\n\ndef test_get_knowledge_ids_by_index_names_success(monkeypatch, mock_session):\n    \"\"\"Test retrieving knowledge IDs by index name list\"\"\"\n    session, _ = mock_session\n\n    # Mock query results\n    class MockResult:\n        def __init__(self, knowledge_id):\n            self.knowledge_id = knowledge_id\n\n    mock_results = [MockResult(\"1\"), MockResult(\"2\")]\n\n    # Create a new mock for this specific function since it uses session.query(KnowledgeRecord.knowledge_id)\n    mock_specific_query = MagicMock()\n    mock_filter = MagicMock()\n    mock_filter.all.return_value = mock_results\n    mock_specific_query.filter.return_value = mock_filter\n\n    # Reset session.query return value to handle specific query parameters\n    def mock_query_func(*args, **kwargs):\n        return mock_specific_query\n\n    session.query = mock_query_func\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    # Mock the context manager to call rollback on exception, like the real get_db_session does\n\n    def mock_exit(exc_type, exc_val, exc_tb):\n        if exc_type is not None:\n            session.rollback()\n        return None  # Don't suppress the exception\n    mock_ctx.__exit__.side_effect = mock_exit\n    monkeypatch.setattr(\n        \"backend.database.knowledge_db.get_db_session\", lambda: mock_ctx)\n\n    index_names = [\"knowledge1\", \"knowledge2\"]\n    result = get_knowledge_ids_by_index_names(index_names)\n\n    assert result == [\"1\", \"2\"]\n\n\ndef test_get_knowledge_ids_by_index_names_exception(monkeypatch, mock_session):\n    \"\"\"Test exception when retrieving knowledge IDs by index name list\"\"\"\n    session, query = mock_session\n    query.filter.side_effect = MockSQLAlchemyError(\"Database error\")\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    # Mock the context manager to call rollback on exception, like the real get_db_session does\n\n    def mock_exit(exc_type, exc_val, exc_tb):\n        if exc_type is not None:\n            session.rollback()\n        return None  # Don't suppress the exception\n    mock_ctx.__exit__.side_effect = mock_exit\n    monkeypatch.setattr(\n        \"backend.database.knowledge_db.get_db_session\", lambda: mock_ctx)\n\n    index_names = [\"knowledge1\", \"knowledge2\"]\n\n    with pytest.raises(MockSQLAlchemyError, match=\"Database error\"):\n        get_knowledge_ids_by_index_names(index_names)\n\n\ndef test_get_knowledge_info_by_tenant_id_success(monkeypatch, mock_session):\n    \"\"\"Test retrieving knowledge info by tenant ID\"\"\"\n    session, query = mock_session\n\n    mock_record1 = MockKnowledgeRecord()\n    mock_record1.knowledge_id = 1\n    mock_record1.tenant_id = \"tenant1\"\n\n    mock_record2 = MockKnowledgeRecord()\n    mock_record2.knowledge_id = 2\n    mock_record2.tenant_id = \"tenant1\"\n\n    mock_filter = MagicMock()\n    mock_filter.all.return_value = [mock_record1, mock_record2]\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    # Mock the context manager to call rollback on exception, like the real get_db_session does\n\n    def mock_exit(exc_type, exc_val, exc_tb):\n        if exc_type is not None:\n            session.rollback()\n        return None  # Don't suppress the exception\n    mock_ctx.__exit__.side_effect = mock_exit\n    monkeypatch.setattr(\n        \"backend.database.knowledge_db.get_db_session\", lambda: mock_ctx)\n\n    # Mock as_dict function\n    def mock_as_dict(record):\n        return {\"knowledge_id\": record.knowledge_id, \"tenant_id\": record.tenant_id}\n\n    monkeypatch.setattr(\"backend.database.knowledge_db.as_dict\", mock_as_dict)\n\n    tenant_id = \"tenant1\"\n    result = get_knowledge_info_by_tenant_id(tenant_id)\n\n    expected = [\n        {\"knowledge_id\": 1, \"tenant_id\": \"tenant1\"},\n        {\"knowledge_id\": 2, \"tenant_id\": \"tenant1\"}\n    ]\n\n    assert result == expected\n\n\ndef test_get_knowledge_info_by_tenant_id_exception(monkeypatch, mock_session):\n    \"\"\"Test exception when retrieving knowledge info by tenant ID\"\"\"\n    session, query = mock_session\n    query.filter.side_effect = MockSQLAlchemyError(\"Database error\")\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    # Mock the context manager to call rollback on exception, like the real get_db_session does\n\n    def mock_exit(exc_type, exc_val, exc_tb):\n        if exc_type is not None:\n            session.rollback()\n        return None  # Don't suppress the exception\n    mock_ctx.__exit__.side_effect = mock_exit\n    monkeypatch.setattr(\n        \"backend.database.knowledge_db.get_db_session\", lambda: mock_ctx)\n\n    tenant_id = \"tenant1\"\n\n    with pytest.raises(MockSQLAlchemyError, match=\"Database error\"):\n        get_knowledge_info_by_tenant_id(tenant_id)\n\n\ndef test_update_model_name_by_index_name_success(monkeypatch, mock_session):\n    \"\"\"Test updating model name by index name\"\"\"\n    session, query = mock_session\n\n    mock_update = MagicMock()\n    mock_filter = MagicMock()\n    mock_filter.update = mock_update\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    # Mock the context manager to call rollback on exception, like the real get_db_session does\n\n    def mock_exit(exc_type, exc_val, exc_tb):\n        if exc_type is not None:\n            session.rollback()\n        return None  # Don't suppress the exception\n    mock_ctx.__exit__.side_effect = mock_exit\n    monkeypatch.setattr(\n        \"backend.database.knowledge_db.get_db_session\", lambda: mock_ctx)\n\n    result = update_model_name_by_index_name(\n        \"test_index\", \"new_model\", \"tenant1\", \"user1\")\n\n    assert result is True\n    mock_update.assert_called_once_with(\n        {\"embedding_model_name\": \"new_model\", \"updated_by\": \"user1\"})\n    session.commit.assert_called_once()\n\n\ndef test_update_model_name_by_index_name_exception(monkeypatch, mock_session):\n    \"\"\"Test exception when updating model name by index name\"\"\"\n    session, query = mock_session\n    mock_update = MagicMock(side_effect=MockSQLAlchemyError(\"Database error\"))\n    mock_filter = MagicMock()\n    mock_filter.update = mock_update\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    # Mock the context manager to call rollback on exception, like the real get_db_session does\n\n    def mock_exit(exc_type, exc_val, exc_tb):\n        if exc_type is not None:\n            session.rollback()\n        return None  # Don't suppress the exception\n    mock_ctx.__exit__.side_effect = mock_exit\n    monkeypatch.setattr(\n        \"backend.database.knowledge_db.get_db_session\", lambda: mock_ctx)\n\n    with pytest.raises(MockSQLAlchemyError, match=\"Database error\"):\n        update_model_name_by_index_name(\n            \"test_index\", \"new_model\", \"tenant1\", \"user1\")\n\n\ndef test_create_knowledge_record_with_index_name_only(monkeypatch, mock_session):\n    \"\"\"Test create_knowledge_record when only index_name is provided (no knowledge_name)\"\"\"\n    session, _ = mock_session\n\n    mock_record = MockKnowledgeRecord()\n    mock_record.knowledge_id = 123\n    mock_record.index_name = \"test_index\"\n    # Should use index_name as knowledge_name\n    mock_record.knowledge_name = \"test_index\"\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    # Mock the context manager to call rollback on exception, like the real get_db_session does\n\n    def mock_exit(exc_type, exc_val, exc_tb):\n        if exc_type is not None:\n            session.rollback()\n        return None  # Don't suppress the exception\n    mock_ctx.__exit__.side_effect = mock_exit\n    monkeypatch.setattr(\n        \"backend.database.knowledge_db.get_db_session\", lambda: mock_ctx)\n\n    test_query = {\n        \"index_name\": \"test_index\",\n        \"knowledge_describe\": \"Test description\",\n        \"user_id\": \"test_user\",\n        \"tenant_id\": \"test_tenant\",\n        \"embedding_model_name\": \"test_model\"\n        # No knowledge_name provided\n    }\n\n    with patch('backend.database.knowledge_db.KnowledgeRecord', return_value=mock_record):\n        result = create_knowledge_record(test_query)\n\n    assert result == {\n        \"knowledge_id\": 123,\n        \"index_name\": \"test_index\",\n        \"knowledge_name\": \"test_index\",\n    }\n    session.add.assert_called_once_with(mock_record)\n    assert session.flush.call_count == 1\n    session.commit.assert_called_once()\n\n\ndef test_create_knowledge_record_without_user_id(monkeypatch, mock_session):\n    \"\"\"Test create_knowledge_record without user_id\"\"\"\n    session, _ = mock_session\n\n    mock_record = MockKnowledgeRecord()\n    mock_record.knowledge_id = 123\n    mock_record.index_name = \"test_index\"\n    mock_record.knowledge_name = \"test_kb\"\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    # Mock the context manager to call rollback on exception, like the real get_db_session does\n\n    def mock_exit(exc_type, exc_val, exc_tb):\n        if exc_type is not None:\n            session.rollback()\n        return None  # Don't suppress the exception\n    mock_ctx.__exit__.side_effect = mock_exit\n    monkeypatch.setattr(\n        \"backend.database.knowledge_db.get_db_session\", lambda: mock_ctx)\n\n    test_query = {\n        \"index_name\": \"test_index\",\n        \"knowledge_name\": \"test_kb\",\n        \"knowledge_describe\": \"Test description\",\n        \"tenant_id\": \"test_tenant\",\n        \"embedding_model_name\": \"test_model\"\n        # No user_id provided\n    }\n\n    with patch('backend.database.knowledge_db.KnowledgeRecord', return_value=mock_record):\n        result = create_knowledge_record(test_query)\n\n    assert result[\"knowledge_id\"] == 123\n    session.add.assert_called_once_with(mock_record)\n    session.commit.assert_called_once()\n\n\ndef test_create_knowledge_record_without_index_name_and_knowledge_name(monkeypatch, mock_session):\n    \"\"\"Test create_knowledge_record when neither index_name nor knowledge_name is provided\"\"\"\n    session, _ = mock_session\n\n    mock_record = MockKnowledgeRecord()\n    mock_record.knowledge_id = 7\n    mock_record.knowledge_name = None  # Both are None, so knowledge_name will be None\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    # Mock the context manager to call rollback on exception, like the real get_db_session does\n\n    def mock_exit(exc_type, exc_val, exc_tb):\n        if exc_type is not None:\n            session.rollback()\n        return None  # Don't suppress the exception\n    mock_ctx.__exit__.side_effect = mock_exit\n    monkeypatch.setattr(\n        \"backend.database.knowledge_db.get_db_session\", lambda: mock_ctx)\n\n    # Deterministic index name\n    monkeypatch.setattr(\n        \"backend.database.knowledge_db._generate_index_name\", lambda _: \"7-generated\")\n\n    test_query = {\n        \"knowledge_describe\": \"desc\",\n        \"user_id\": \"user-1\",\n        \"tenant_id\": \"tenant-1\",\n        \"embedding_model_name\": \"model-x\"\n        # Neither index_name nor knowledge_name provided\n    }\n\n    with patch('backend.database.knowledge_db.KnowledgeRecord', return_value=mock_record):\n        result = create_knowledge_record(test_query)\n\n    assert result == {\n        \"knowledge_id\": 7,\n        \"index_name\": \"7-generated\",\n        \"knowledge_name\": None,\n    }\n    assert mock_record.index_name == \"7-generated\"\n    assert session.flush.call_count == 2  # initial insert + index_name update\n    session.commit.assert_called_once()\n\n\ndef test_update_knowledge_record_without_user_id(monkeypatch, mock_session):\n    \"\"\"Test update_knowledge_record without user_id\"\"\"\n    session, query = mock_session\n\n    mock_record = MockKnowledgeRecord()\n    mock_record.knowledge_describe = \"old description\"\n    mock_record.updated_by = \"original_user\"\n\n    mock_filter = MagicMock()\n    mock_filter.first.return_value = mock_record\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    # Mock the context manager to call rollback on exception, like the real get_db_session does\n\n    def mock_exit(exc_type, exc_val, exc_tb):\n        if exc_type is not None:\n            session.rollback()\n        return None  # Don't suppress the exception\n    mock_ctx.__exit__.side_effect = mock_exit\n    monkeypatch.setattr(\n        \"backend.database.knowledge_db.get_db_session\", lambda: mock_ctx)\n\n    test_query = {\n        \"index_name\": \"test_knowledge\",\n        \"knowledge_describe\": \"Updated description\"\n        # No user_id provided\n    }\n\n    result = update_knowledge_record(test_query)\n\n    assert result is True\n    assert mock_record.knowledge_describe == \"Updated description\"\n    # updated_by should remain unchanged when user_id is not provided\n    assert mock_record.updated_by == \"original_user\"\n    session.flush.assert_called_once()\n    session.commit.assert_called_once()\n\n\ndef test_delete_knowledge_record_without_user_id(monkeypatch, mock_session):\n    \"\"\"Test delete_knowledge_record without user_id\"\"\"\n    session, query = mock_session\n\n    mock_record = MockKnowledgeRecord()\n    mock_record.delete_flag = 'N'\n    mock_record.updated_by = \"original_user\"\n\n    mock_filter = MagicMock()\n    mock_filter.first.return_value = mock_record\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    # Mock the context manager to call rollback on exception, like the real get_db_session does\n\n    def mock_exit(exc_type, exc_val, exc_tb):\n        if exc_type is not None:\n            session.rollback()\n        return None  # Don't suppress the exception\n    mock_ctx.__exit__.side_effect = mock_exit\n    monkeypatch.setattr(\n        \"backend.database.knowledge_db.get_db_session\", lambda: mock_ctx)\n\n    test_query = {\n        \"index_name\": \"test_knowledge\"\n        # No user_id provided\n    }\n\n    result = delete_knowledge_record(test_query)\n\n    assert result is True\n    assert mock_record.delete_flag == 'Y'\n    # updated_by should remain unchanged when user_id is not provided\n    assert mock_record.updated_by == \"original_user\"\n    session.flush.assert_called_once()\n    session.commit.assert_called_once()\n\n\ndef test_get_knowledge_record_with_tenant_id_none(monkeypatch, mock_session):\n    \"\"\"Test get_knowledge_record with tenant_id explicitly set to None\"\"\"\n    session, query = mock_session\n\n    mock_record = MockKnowledgeRecord()\n    mock_record.knowledge_id = 123\n\n    mock_filter = MagicMock()\n    mock_filter.first.return_value = mock_record\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    # Mock the context manager to call rollback on exception, like the real get_db_session does\n\n    def mock_exit(exc_type, exc_val, exc_tb):\n        if exc_type is not None:\n            session.rollback()\n        return None  # Don't suppress the exception\n    mock_ctx.__exit__.side_effect = mock_exit\n    monkeypatch.setattr(\n        \"backend.database.knowledge_db.get_db_session\", lambda: mock_ctx)\n\n    expected_result = {\"knowledge_id\": 123}\n    monkeypatch.setattr(\n        \"backend.database.knowledge_db.as_dict\", lambda x: expected_result)\n\n    test_query = {\n        \"index_name\": \"test_knowledge\",\n        \"tenant_id\": None  # Explicitly None\n    }\n\n    result = get_knowledge_record(test_query)\n\n    assert result == expected_result\n    # Should not add tenant_id filter when tenant_id is None\n    assert query.filter.call_count >= 1\n\n\ndef test_get_knowledge_record_by_knowledge_name_success(monkeypatch, mock_session):\n    \"\"\"Test successfully retrieving knowledge record by knowledge_name\"\"\"\n    session, query = mock_session\n\n    # Create mock knowledge record\n    mock_record = MockKnowledgeRecord()\n    mock_record.knowledge_id = 123\n    mock_record.knowledge_name = \"test_kb\"\n\n    mock_filter = MagicMock()\n    mock_filter.first.return_value = mock_record\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    # Mock the context manager to call rollback on exception, like the real get_db_session does\n\n    def mock_exit(exc_type, exc_val, exc_tb):\n        if exc_type is not None:\n            session.rollback()\n        return None  # Don't suppress the exception\n    mock_ctx.__exit__.side_effect = mock_exit\n    monkeypatch.setattr(\n        \"backend.database.knowledge_db.get_db_session\", lambda: mock_ctx)\n\n    # Mock as_dict function\n    expected_result = {\n        \"knowledge_id\": 123,\n        \"knowledge_name\": \"test_kb\",\n        \"index_name\": \"test_index\"\n    }\n    monkeypatch.setattr(\n        \"backend.database.knowledge_db.as_dict\", lambda x: expected_result)\n\n    test_query = {\n        \"knowledge_name\": \"test_kb\",\n        \"tenant_id\": \"test_tenant\"\n    }\n\n    result = get_knowledge_record(test_query)\n\n    assert result == expected_result\n\n\ndef test_get_knowledge_record_by_knowledge_name_not_found(monkeypatch, mock_session):\n    \"\"\"Test retrieving knowledge record by knowledge_name when not found\"\"\"\n    session, query = mock_session\n\n    mock_filter = MagicMock()\n    mock_filter.first.return_value = None\n    mock_filter.filter.return_value = mock_filter  # Support chaining\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    # Mock the context manager to call rollback on exception, like the real get_db_session does\n\n    def mock_exit(exc_type, exc_val, exc_tb):\n        if exc_type is not None:\n            session.rollback()\n        return None  # Don't suppress the exception\n    mock_ctx.__exit__.side_effect = mock_exit\n    monkeypatch.setattr(\n        \"backend.database.knowledge_db.get_db_session\", lambda: mock_ctx)\n\n    test_query = {\n        \"knowledge_name\": \"nonexistent_kb\",\n        \"tenant_id\": \"test_tenant\"\n    }\n\n    result = get_knowledge_record(test_query)\n\n    assert result == {}\n\n\ndef test_get_knowledge_info_by_knowledge_ids_empty_list(monkeypatch, mock_session):\n    \"\"\"Test get_knowledge_info_by_knowledge_ids with empty list\"\"\"\n    session, query = mock_session\n\n    mock_filter = MagicMock()\n    mock_filter.all.return_value = []\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    # Mock the context manager to call rollback on exception, like the real get_db_session does\n\n    def mock_exit(exc_type, exc_val, exc_tb):\n        if exc_type is not None:\n            session.rollback()\n        return None  # Don't suppress the exception\n    mock_ctx.__exit__.side_effect = mock_exit\n    monkeypatch.setattr(\n        \"backend.database.knowledge_db.get_db_session\", lambda: mock_ctx)\n\n    knowledge_ids = []\n    result = get_knowledge_info_by_knowledge_ids(knowledge_ids)\n\n    assert result == []\n\n\ndef test_get_knowledge_info_by_knowledge_ids_includes_knowledge_name(monkeypatch, mock_session):\n    \"\"\"Test get_knowledge_info_by_knowledge_ids includes knowledge_name field\"\"\"\n    session, query = mock_session\n\n    mock_record1 = MockKnowledgeRecord()\n    mock_record1.knowledge_id = 1\n    mock_record1.index_name = \"knowledge1\"\n    mock_record1.knowledge_name = \"Knowledge Base 1\"\n    mock_record1.knowledge_sources = \"elasticsearch\"\n    mock_record1.embedding_model_name = \"model1\"\n\n    mock_filter = MagicMock()\n    mock_filter.all.return_value = [mock_record1]\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    # Mock the context manager to call rollback on exception, like the real get_db_session does\n\n    def mock_exit(exc_type, exc_val, exc_tb):\n        if exc_type is not None:\n            session.rollback()\n        return None  # Don't suppress the exception\n    mock_ctx.__exit__.side_effect = mock_exit\n    monkeypatch.setattr(\n        \"backend.database.knowledge_db.get_db_session\", lambda: mock_ctx)\n\n    knowledge_ids = [\"1\"]\n    result = get_knowledge_info_by_knowledge_ids(knowledge_ids)\n\n    expected = [\n        {\n            \"knowledge_id\": 1,\n            \"index_name\": \"knowledge1\",\n            \"knowledge_name\": \"Knowledge Base 1\",\n            \"knowledge_sources\": \"elasticsearch\",\n            \"embedding_model_name\": \"model1\"\n        }\n    ]\n\n    assert result == expected\n    assert \"knowledge_name\" in result[0]\n\n\ndef test_get_knowledge_info_by_knowledge_ids_with_none_knowledge_name(monkeypatch, mock_session):\n    \"\"\"Test get_knowledge_info_by_knowledge_ids when knowledge_name is None\"\"\"\n    session, query = mock_session\n\n    mock_record1 = MockKnowledgeRecord()\n    mock_record1.knowledge_id = 1\n    mock_record1.index_name = \"knowledge1\"\n    mock_record1.knowledge_name = None  # None knowledge_name\n    mock_record1.knowledge_sources = \"elasticsearch\"\n    mock_record1.embedding_model_name = \"model1\"\n\n    mock_filter = MagicMock()\n    mock_filter.all.return_value = [mock_record1]\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    # Mock the context manager to call rollback on exception, like the real get_db_session does\n\n    def mock_exit(exc_type, exc_val, exc_tb):\n        if exc_type is not None:\n            session.rollback()\n        return None  # Don't suppress the exception\n    mock_ctx.__exit__.side_effect = mock_exit\n    monkeypatch.setattr(\n        \"backend.database.knowledge_db.get_db_session\", lambda: mock_ctx)\n\n    knowledge_ids = [\"1\"]\n    result = get_knowledge_info_by_knowledge_ids(knowledge_ids)\n\n    expected = [\n        {\n            \"knowledge_id\": 1,\n            \"index_name\": \"knowledge1\",\n            \"knowledge_name\": None,\n            \"knowledge_sources\": \"elasticsearch\",\n            \"embedding_model_name\": \"model1\"\n        }\n    ]\n\n    assert result == expected\n    assert result[0][\"knowledge_name\"] is None\n\n\ndef test_get_index_name_by_knowledge_name_success(monkeypatch, mock_session):\n    \"\"\"Test successfully getting index_name by knowledge_name\"\"\"\n    session, query = mock_session\n\n    mock_record = MockKnowledgeRecord()\n    mock_record.knowledge_name = \"My Knowledge Base\"\n    mock_record.index_name = \"123-abc123def456\"\n    mock_record.tenant_id = \"tenant1\"\n    mock_record.delete_flag = 'N'\n\n    mock_filter = MagicMock()\n    mock_filter.first.return_value = mock_record\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    # Mock the context manager to call rollback on exception, like the real get_db_session does\n\n    def mock_exit(exc_type, exc_val, exc_tb):\n        if exc_type is not None:\n            session.rollback()\n        return None  # Don't suppress the exception\n    mock_ctx.__exit__.side_effect = mock_exit\n    monkeypatch.setattr(\n        \"backend.database.knowledge_db.get_db_session\", lambda: mock_ctx)\n\n    result = get_index_name_by_knowledge_name(\"My Knowledge Base\", \"tenant1\")\n\n    assert result == \"123-abc123def456\"\n\n\ndef test_get_index_name_by_knowledge_name_not_found(monkeypatch, mock_session):\n    \"\"\"Test get_index_name_by_knowledge_name when knowledge base is not found\"\"\"\n    session, query = mock_session\n\n    mock_filter = MagicMock()\n    mock_filter.first.return_value = None\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    # Mock the context manager to call rollback on exception, like the real get_db_session does\n\n    def mock_exit(exc_type, exc_val, exc_tb):\n        if exc_type is not None:\n            session.rollback()\n        return None  # Don't suppress the exception\n    mock_ctx.__exit__.side_effect = mock_exit\n    monkeypatch.setattr(\n        \"backend.database.knowledge_db.get_db_session\", lambda: mock_ctx)\n\n    with pytest.raises(ValueError, match=\"Knowledge base 'Nonexistent KB' not found for the current tenant\"):\n        get_index_name_by_knowledge_name(\"Nonexistent KB\", \"tenant1\")\n\n\ndef test_get_index_name_by_knowledge_name_exception(monkeypatch, mock_session):\n    \"\"\"Test exception when getting index_name by knowledge_name\"\"\"\n    session, query = mock_session\n    query.filter.side_effect = MockSQLAlchemyError(\"Database error\")\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    # Mock the context manager to call rollback on exception, like the real get_db_session does\n\n    def mock_exit(exc_type, exc_val, exc_tb):\n        if exc_type is not None:\n            session.rollback()\n        return None  # Don't suppress the exception\n    mock_ctx.__exit__.side_effect = mock_exit\n    monkeypatch.setattr(\n        \"backend.database.knowledge_db.get_db_session\", lambda: mock_ctx)\n\n    with pytest.raises(MockSQLAlchemyError, match=\"Database error\"):\n        get_index_name_by_knowledge_name(\"My Knowledge Base\", \"tenant1\")\n\n\ndef test_generate_index_name_format(monkeypatch):\n    \"\"\"Test _generate_index_name generates correct format\"\"\"\n    # Mock uuid to get deterministic result\n    mock_uuid = MagicMock()\n    mock_uuid.hex = \"abc123def456\"\n    monkeypatch.setattr(\n        \"backend.database.knowledge_db.uuid.uuid4\", lambda: mock_uuid)\n\n    result = _generate_index_name(123)\n\n    assert result == \"123-abc123def456\"\n    assert result.startswith(\"123-\")\n    assert len(result) == len(\"123-abc123def456\")\n\n\ndef test_get_knowledge_ids_by_index_names_empty_list(monkeypatch, mock_session):\n    \"\"\"Test get_knowledge_ids_by_index_names with empty list\"\"\"\n    session, _ = mock_session\n\n    mock_specific_query = MagicMock()\n    mock_filter = MagicMock()\n    mock_filter.all.return_value = []\n    mock_specific_query.filter.return_value = mock_filter\n\n    def mock_query_func(*args, **kwargs):\n        return mock_specific_query\n\n    session.query = mock_query_func\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    # Mock the context manager to call rollback on exception, like the real get_db_session does\n\n    def mock_exit(exc_type, exc_val, exc_tb):\n        if exc_type is not None:\n            session.rollback()\n        return None  # Don't suppress the exception\n    mock_ctx.__exit__.side_effect = mock_exit\n    monkeypatch.setattr(\n        \"backend.database.knowledge_db.get_db_session\", lambda: mock_ctx)\n\n    index_names = []\n    result = get_knowledge_ids_by_index_names(index_names)\n\n    assert result == []\n\n\ndef test_upsert_knowledge_record_create_new(monkeypatch, mock_session):\n    \"\"\"Test upsert_knowledge_record creates new record when not exists\"\"\"\n    session, query = mock_session\n\n    # Mock that no existing record is found\n    mock_filter = MagicMock()\n    mock_filter.first.return_value = None\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    # Mock the context manager to call rollback on exception, like the real get_db_session does\n\n    def mock_exit(exc_type, exc_val, exc_tb):\n        if exc_type is not None:\n            session.rollback()\n        return None  # Don't suppress the exception\n    mock_ctx.__exit__.side_effect = mock_exit\n    monkeypatch.setattr(\n        \"backend.database.knowledge_db.get_db_session\", lambda: mock_ctx)\n\n    # Mock create_knowledge_record to return expected result\n    expected_result = {\n        \"knowledge_id\": 123,\n        \"index_name\": \"test_index\",\n        \"knowledge_name\": \"test_kb\"\n    }\n\n    with patch('backend.database.knowledge_db.create_knowledge_record', return_value=expected_result):\n        test_query = {\n            \"index_name\": \"test_index\",\n            \"tenant_id\": \"test_tenant\",\n            \"knowledge_name\": \"test_kb\",\n            \"knowledge_describe\": \"Test description\",\n            \"knowledge_sources\": \"elasticsearch\",\n            \"embedding_model_name\": \"test_model\",\n            \"user_id\": \"test_user\"\n        }\n\n        result = upsert_knowledge_record(test_query)\n\n        assert result == expected_result\n\n\ndef test_upsert_knowledge_record_update_existing(monkeypatch, mock_session):\n    \"\"\"Test upsert_knowledge_record updates existing record\"\"\"\n    session, query = mock_session\n\n    # Create mock existing record\n    mock_existing_record = MockKnowledgeRecord()\n    mock_existing_record.knowledge_id = 123\n    mock_existing_record.index_name = \"test_index\"\n    mock_existing_record.knowledge_name = \"old_name\"\n    mock_existing_record.knowledge_describe = \"old description\"\n    mock_existing_record.knowledge_sources = \"old_source\"\n    mock_existing_record.embedding_model_name = \"old_model\"\n    mock_existing_record.updated_by = \"old_user\"\n\n    mock_filter = MagicMock()\n    mock_filter.first.return_value = mock_existing_record\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    # Mock the context manager to call rollback on exception, like the real get_db_session does\n\n    def mock_exit(exc_type, exc_val, exc_tb):\n        if exc_type is not None:\n            session.rollback()\n        return None  # Don't suppress the exception\n    mock_ctx.__exit__.side_effect = mock_exit\n    monkeypatch.setattr(\n        \"backend.database.knowledge_db.get_db_session\", lambda: mock_ctx)\n\n    test_query = {\n        \"index_name\": \"test_index\",\n        \"tenant_id\": \"test_tenant\",\n        \"knowledge_name\": \"updated_kb\",\n        \"knowledge_describe\": \"Updated description\",\n        \"knowledge_sources\": \"datamate\",\n        \"embedding_model_name\": \"updated_model\",\n        \"user_id\": \"updated_user\"\n    }\n\n    result = upsert_knowledge_record(test_query)\n\n    assert result == {\n        \"knowledge_id\": 123,\n        \"index_name\": \"test_index\",\n        \"knowledge_name\": \"updated_kb\"\n    }\n    assert mock_existing_record.knowledge_name == \"updated_kb\"\n    assert mock_existing_record.knowledge_describe == \"Updated description\"\n    assert mock_existing_record.knowledge_sources == \"datamate\"\n    assert mock_existing_record.embedding_model_name == \"updated_model\"\n    assert mock_existing_record.updated_by == \"updated_user\"\n    session.flush.assert_called_once()\n    session.commit.assert_called_once()\n\n\ndef test_upsert_knowledge_record_exception(monkeypatch, mock_session):\n    \"\"\"Test exception during upsert_knowledge_record\"\"\"\n    session, query = mock_session\n    query.filter.side_effect = MockSQLAlchemyError(\"Database error\")\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    # Mock the context manager to call rollback on exception, like the real get_db_session does\n\n    def mock_exit(exc_type, exc_val, exc_tb):\n        if exc_type is not None:\n            session.rollback()\n        return None  # Don't suppress the exception\n    mock_ctx.__exit__.side_effect = mock_exit\n    monkeypatch.setattr(\n        \"backend.database.knowledge_db.get_db_session\", lambda: mock_ctx)\n\n    test_query = {\n        \"index_name\": \"test_index\",\n        \"tenant_id\": \"test_tenant\",\n        \"knowledge_name\": \"test_kb\",\n        \"user_id\": \"test_user\"\n    }\n\n    with pytest.raises(MockSQLAlchemyError, match=\"Database error\"):\n        upsert_knowledge_record(test_query)\n\n    session.rollback.assert_called_once()\n\n\ndef test_get_knowledge_info_by_tenant_and_source_success(monkeypatch, mock_session):\n    \"\"\"Test retrieving knowledge info by tenant and source\"\"\"\n    session, query = mock_session\n\n    mock_record1 = MockKnowledgeRecord()\n    mock_record1.knowledge_id = 1\n    mock_record1.tenant_id = \"tenant1\"\n    mock_record1.knowledge_sources = \"datamate\"\n\n    mock_record2 = MockKnowledgeRecord()\n    mock_record2.knowledge_id = 2\n    mock_record2.tenant_id = \"tenant1\"\n    mock_record2.knowledge_sources = \"datamate\"\n\n    mock_filter = MagicMock()\n    mock_filter.all.return_value = [mock_record1, mock_record2]\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    # Mock the context manager to call rollback on exception, like the real get_db_session does\n\n    def mock_exit(exc_type, exc_val, exc_tb):\n        if exc_type is not None:\n            session.rollback()\n        return None  # Don't suppress the exception\n    mock_ctx.__exit__.side_effect = mock_exit\n    monkeypatch.setattr(\n        \"backend.database.knowledge_db.get_db_session\", lambda: mock_ctx)\n\n    # Mock as_dict function\n    def mock_as_dict(record):\n        return {\n            \"knowledge_id\": record.knowledge_id,\n            \"tenant_id\": record.tenant_id,\n            \"knowledge_sources\": record.knowledge_sources\n        }\n\n    monkeypatch.setattr(\"backend.database.knowledge_db.as_dict\", mock_as_dict)\n\n    result = get_knowledge_info_by_tenant_and_source(\"tenant1\", \"datamate\")\n\n    expected = [\n        {\"knowledge_id\": 1, \"tenant_id\": \"tenant1\",\n            \"knowledge_sources\": \"datamate\"},\n        {\"knowledge_id\": 2, \"tenant_id\": \"tenant1\", \"knowledge_sources\": \"datamate\"}\n    ]\n\n    assert result == expected\n\n\ndef test_get_knowledge_info_by_tenant_and_source_empty_result(monkeypatch, mock_session):\n    \"\"\"Test retrieving knowledge info by tenant and source returns empty list\"\"\"\n    session, query = mock_session\n\n    mock_filter = MagicMock()\n    mock_filter.all.return_value = []\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    # Mock the context manager to call rollback on exception, like the real get_db_session does\n\n    def mock_exit(exc_type, exc_val, exc_tb):\n        if exc_type is not None:\n            session.rollback()\n        return None  # Don't suppress the exception\n    mock_ctx.__exit__.side_effect = mock_exit\n    monkeypatch.setattr(\n        \"backend.database.knowledge_db.get_db_session\", lambda: mock_ctx)\n\n    result = get_knowledge_info_by_tenant_and_source(\"tenant1\", \"datamate\")\n\n    assert result == []\n\n\ndef test_get_knowledge_info_by_tenant_and_source_exception(monkeypatch, mock_session):\n    \"\"\"Test exception when retrieving knowledge info by tenant and source\"\"\"\n    session, query = mock_session\n    query.filter.side_effect = MockSQLAlchemyError(\"Database error\")\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    # Mock the context manager to call rollback on exception, like the real get_db_session does\n\n    def mock_exit(exc_type, exc_val, exc_tb):\n        if exc_type is not None:\n            session.rollback()\n        return None  # Don't suppress the exception\n    mock_ctx.__exit__.side_effect = mock_exit\n    monkeypatch.setattr(\n        \"backend.database.knowledge_db.get_db_session\", lambda: mock_ctx)\n\n    with pytest.raises(MockSQLAlchemyError, match=\"Database error\"):\n        get_knowledge_info_by_tenant_and_source(\"tenant1\", \"datamate\")\n"
  },
  {
    "path": "test/backend/database/test_memory_config_db.py",
    "content": "import sys\nimport types\nfrom unittest.mock import MagicMock\n\nimport pytest\n\n\n# Ensure backend imports resolve\nsys.path.insert(0, __import__(\"os\").path.join(__import__(\"os\").path.dirname(__file__), \"../../..\"))\n\n\n# Stub database.client\nclient_mod = types.ModuleType(\"database.client\")\nclient_mod.get_db_session = MagicMock(name=\"get_db_session\")\nclient_mod.filter_property = MagicMock(name=\"filter_property\")\nsys.modules[\"database.client\"] = client_mod\nsys.modules[\"backend.database.client\"] = client_mod\n\n\n# Stub db_models\ndb_models_mod = types.ModuleType(\"database.db_models\")\n\nclass MemoryUserConfig:\n    user_id = MagicMock(name=\"MemoryUserConfig.user_id\")\n    delete_flag = MagicMock(name=\"MemoryUserConfig.delete_flag\")\n    config_id = MagicMock(name=\"MemoryUserConfig.config_id\")\n\n\ndb_models_mod.MemoryUserConfig = MemoryUserConfig\nsys.modules[\"database.db_models\"] = db_models_mod\nsys.modules[\"backend.database.db_models\"] = db_models_mod\n\n\nfrom backend.database.memory_config_db import soft_delete_all_configs_by_user_id\n\n\n@pytest.fixture\ndef mock_session_ctx():\n    session = MagicMock(name=\"session\")\n    ctx = MagicMock(name=\"ctx\")\n    ctx.__enter__.return_value = session\n    ctx.__exit__.return_value = None\n    return session, ctx\n\n\ndef test_soft_delete_all_configs_by_user_id_success(monkeypatch, mock_session_ctx):\n    session, ctx = mock_session_ctx\n    # Build query().filter().update(). commit() chain\n    mock_query = MagicMock()\n    mock_filter = MagicMock()\n    mock_filter.update.return_value = 5\n    mock_query.filter.return_value = mock_filter\n    session.query.return_value = mock_query\n\n    monkeypatch.setattr(\"backend.database.memory_config_db.get_db_session\", lambda: ctx)\n\n    ok = soft_delete_all_configs_by_user_id(\"user-1\", actor=\"user-1\")\n\n    assert ok is True\n    session.query.assert_called_once()\n    mock_filter.update.assert_called_once()\n    session.commit.assert_called_once()\n\n\ndef test_soft_delete_all_configs_by_user_id_failure(monkeypatch, mock_session_ctx):\n    session, ctx = mock_session_ctx\n    mock_query = MagicMock()\n    mock_filter = MagicMock()\n    # Simulate exception from update\n    mock_filter.update.side_effect = Exception(\"db error\")\n    mock_query.filter.return_value = mock_filter\n    session.query.return_value = mock_query\n\n    monkeypatch.setattr(\"backend.database.memory_config_db.get_db_session\", lambda: ctx)\n\n    ok = soft_delete_all_configs_by_user_id(\"user-2\", actor=\"user-2\")\n\n    assert ok is False\n    session.rollback.assert_called_once()\n"
  },
  {
    "path": "test/backend/database/test_model_managment_db.py",
    "content": "import importlib\nimport sys\nimport pytest\nfrom unittest.mock import patch, MagicMock\nfrom types import SimpleNamespace\n\n# Mock consts module first to avoid ModuleNotFoundError during module import\nconsts_mock = MagicMock()\nconsts_mock.const = MagicMock()\n# Set required constants on consts.const for tests\nconsts_mock.const.MINIO_ENDPOINT = \"http://localhost:9000\"\nconsts_mock.const.MINIO_ACCESS_KEY = \"test_access_key\"\nconsts_mock.const.MINIO_SECRET_KEY = \"test_secret_key\"\nconsts_mock.const.MINIO_REGION = \"us-east-1\"\nconsts_mock.const.MINIO_DEFAULT_BUCKET = \"test-bucket\"\nconsts_mock.const.POSTGRES_HOST = \"localhost\"\nconsts_mock.const.POSTGRES_USER = \"test_user\"\nconsts_mock.const.NEXENT_POSTGRES_PASSWORD = \"test_password\"\nconsts_mock.const.POSTGRES_DB = \"test_db\"\nconsts_mock.const.POSTGRES_PORT = 5432\nconsts_mock.const.DEFAULT_TENANT_ID = \"default_tenant\"\nconsts_mock.const.DEFAULT_EXPECTED_CHUNK_SIZE = 1024\nconsts_mock.const.DEFAULT_MAXIMUM_CHUNK_SIZE = 1536\n\n# Register mocked consts module in sys.modules\nsys.modules['consts'] = consts_mock\nsys.modules['consts.const'] = consts_mock.const\n\n# Mock utils module used by target module\nutils_mock = MagicMock()\nutils_mock.auth_utils = MagicMock()\nutils_mock.auth_utils.get_current_user_id = MagicMock(return_value=(\"test_user_id\", \"test_tenant_id\"))\n\n# Register mocked utils module in sys.modules\nsys.modules['utils'] = utils_mock\nsys.modules['utils.auth_utils'] = utils_mock.auth_utils\n\n# Provide a stub for the `boto3` module so that it can be imported safely even\n# if the testing environment does not have it available.\nboto3_mock = MagicMock()\nsys.modules['boto3'] = boto3_mock\n\n# Mock the entire client module used by database layer\nclient_mock = MagicMock()\nclient_mock.MinioClient = MagicMock()\nclient_mock.PostgresClient = MagicMock()\nclient_mock.db_client = MagicMock()\nclient_mock.get_db_session = MagicMock()\nclient_mock.as_dict = MagicMock()\n\n# Register mocked client module in sys.modules\nsys.modules['backend.database.client'] = client_mock\n\n\"\"\"Now that dependencies are mocked, import the module under test.\nAccess functions via the module object to avoid direct function imports.\n\"\"\"\nmodel_mgmt_db = importlib.import_module(\"backend.database.model_management_db\")\n\n@pytest.fixture\ndef mock_session():\n    # mock scalars().all() return value\n    mock_model = SimpleNamespace(\n        model_id=1,\n        model_factory=\"openai\",\n        model_type=\"chat\",\n        tenant_id=\"tenant1\",\n        delete_flag=\"N\",\n    )\n    mock_scalars = MagicMock()\n    mock_scalars.all.return_value = [mock_model]\n    mock_session = MagicMock()\n    mock_session.scalars.return_value = mock_scalars\n    return mock_session\n\ndef test_get_models_by_tenant_factory_type(monkeypatch, mock_session):\n    # patch get_db_session\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = mock_session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.model_management_db.get_db_session\", lambda: mock_ctx)\n    # patch as_dict\n    monkeypatch.setattr(\"backend.database.model_management_db.as_dict\", lambda obj: obj.__dict__)\n\n    tenant_id = \"tenant1\"\n    model_factory = \"openai\"\n    model_type = \"chat\"\n    result = model_mgmt_db.get_models_by_tenant_factory_type(\n        tenant_id, model_factory, model_type)\n    assert isinstance(result, list)\n    assert len(result) == 1\n    assert result[0][\"model_factory\"] == model_factory\n    assert result[0][\"model_type\"] == model_type\n    assert result[0][\"tenant_id\"] == tenant_id\n\n\ndef test_get_model_records_fills_default_chunk_sizes(monkeypatch):\n    # Create a mock session returning an embedding record with None chunk sizes\n    mock_model = SimpleNamespace(\n        model_id=2,\n        model_factory=\"openai\",\n        model_type=\"embedding\",\n        tenant_id=\"tenant2\",\n        delete_flag=\"N\",\n        expected_chunk_size=None,\n        maximum_chunk_size=None,\n    )\n    mock_scalars = MagicMock()\n    mock_scalars.all.return_value = [mock_model]\n    session = MagicMock()\n    session.scalars.return_value = mock_scalars\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.model_management_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\n        \"backend.database.model_management_db.as_dict\", lambda obj: obj.__dict__)\n\n    records = model_mgmt_db.get_model_records(\n        {\"model_type\": \"embedding\"}, tenant_id=\"tenant2\")\n    assert len(records) == 1\n    assert records[0][\"expected_chunk_size\"] == 1024\n    assert records[0][\"maximum_chunk_size\"] == 1536\n\n\ndef test_get_model_by_model_id_fills_default_chunk_sizes(monkeypatch):\n    # Mock session.scalars().first() to return an embedding record with None sizes\n    mock_model = SimpleNamespace(\n        model_id=3,\n        model_factory=\"openai\",\n        model_type=\"embedding\",\n        tenant_id=\"tenant3\",\n        delete_flag=\"N\",\n        expected_chunk_size=None,\n        maximum_chunk_size=None,\n    )\n    mock_scalars = MagicMock()\n    mock_scalars.first.return_value = mock_model\n    session = MagicMock()\n    session.scalars.return_value = mock_scalars\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.model_management_db.get_db_session\", lambda: mock_ctx)\n\n    out = model_mgmt_db.get_model_by_model_id(3, tenant_id=\"tenant3\")\n    assert out is not None\n    assert out[\"expected_chunk_size\"] == 1024\n    assert out[\"maximum_chunk_size\"] == 1536\n\n\ndef test_create_model_record(monkeypatch):\n    \"\"\"Test create_model_record function (covers lines 23-42)\"\"\"\n    mock_result = MagicMock()\n    mock_result.rowcount = 1\n    \n    mock_stmt = MagicMock()\n    mock_stmt.values.return_value = mock_stmt\n    \n    mock_insert = MagicMock(return_value=mock_stmt)\n    monkeypatch.setattr(\"backend.database.model_management_db.insert\", mock_insert)\n    \n    session = MagicMock()\n    session.execute.return_value = mock_result\n    \n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.model_management_db.get_db_session\", lambda: mock_ctx)\n    \n    # Mock clean_string_values and add_creation_tracking\n    monkeypatch.setattr(\"backend.database.model_management_db.db_client.clean_string_values\", lambda x: x)\n    monkeypatch.setattr(\"backend.database.model_management_db.add_creation_tracking\", lambda x, uid: x)\n    monkeypatch.setattr(\"backend.database.model_management_db.func.current_timestamp\", MagicMock())\n    \n    model_data = {\"model_name\": \"test\", \"model_type\": \"llm\"}\n    result = model_mgmt_db.create_model_record(model_data, user_id=\"u1\", tenant_id=\"t1\")\n    \n    assert result is True\n    session.execute.assert_called_once()\n\n\ndef test_update_model_record(monkeypatch):\n    \"\"\"Test update_model_record function (covers lines 63-84)\"\"\"\n    mock_result = MagicMock()\n    mock_result.rowcount = 1\n    \n    mock_stmt = MagicMock()\n    mock_stmt.where.return_value = mock_stmt\n    mock_stmt.values.return_value = mock_stmt\n    \n    mock_update = MagicMock(return_value=mock_stmt)\n    monkeypatch.setattr(\"backend.database.model_management_db.update\", mock_update)\n    \n    session = MagicMock()\n    session.execute.return_value = mock_result\n    \n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.model_management_db.get_db_session\", lambda: mock_ctx)\n    \n    # Mock clean_string_values and add_update_tracking\n    monkeypatch.setattr(\"backend.database.model_management_db.db_client.clean_string_values\", lambda x: x)\n    monkeypatch.setattr(\"backend.database.model_management_db.add_update_tracking\", lambda x, uid: x)\n    monkeypatch.setattr(\"backend.database.model_management_db.func.current_timestamp\", MagicMock())\n    \n    update_data = {\"model_name\": \"updated\"}\n    result = model_mgmt_db.update_model_record(1, update_data, user_id=\"u1\", tenant_id=\"t1\")\n    \n    assert result is True\n    session.execute.assert_called_once()\n\n\ndef test_delete_model_record(monkeypatch):\n    \"\"\"Test delete_model_record function (covers lines 99-119)\"\"\"\n    mock_result = MagicMock()\n    mock_result.rowcount = 1\n    \n    mock_stmt = MagicMock()\n    mock_stmt.where.return_value = mock_stmt\n    mock_stmt.values.return_value = mock_stmt\n    \n    mock_update = MagicMock(return_value=mock_stmt)\n    monkeypatch.setattr(\"backend.database.model_management_db.update\", mock_update)\n    \n    session = MagicMock()\n    session.execute.return_value = mock_result\n    \n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.model_management_db.get_db_session\", lambda: mock_ctx)\n    \n    # Mock add_update_tracking\n    monkeypatch.setattr(\"backend.database.model_management_db.add_update_tracking\", lambda x, uid: x)\n    monkeypatch.setattr(\"backend.database.model_management_db.func.current_timestamp\", MagicMock())\n    \n    result = model_mgmt_db.delete_model_record(1, user_id=\"u1\", tenant_id=\"t1\")\n    \n    assert result is True\n    session.execute.assert_called_once()\n\n\ndef test_get_model_records_with_tenant_id(monkeypatch):\n    \"\"\"Test get_model_records with tenant_id filter (covers lines 137->141)\"\"\"\n    mock_model = SimpleNamespace(\n        model_id=4,\n        model_factory=\"openai\",\n        model_type=\"llm\",\n        tenant_id=\"tenant4\",\n        delete_flag=\"N\",\n    )\n    mock_scalars = MagicMock()\n    mock_scalars.all.return_value = [mock_model]\n    session = MagicMock()\n    session.scalars.return_value = mock_scalars\n    \n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.model_management_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\"backend.database.model_management_db.as_dict\", lambda obj: obj.__dict__)\n    \n    records = model_mgmt_db.get_model_records({\"model_type\": \"llm\"}, tenant_id=\"tenant4\")\n    assert len(records) == 1\n    assert records[0][\"tenant_id\"] == \"tenant4\"\n\n\ndef test_get_model_records_with_none_filter(monkeypatch):\n    \"\"\"Test get_model_records with None value in filter (covers line 145)\"\"\"\n    mock_model = SimpleNamespace(\n        model_id=5,\n        model_factory=\"openai\",\n        model_type=\"llm\",\n        tenant_id=\"tenant5\",\n        delete_flag=\"N\",\n        display_name=None,\n    )\n    mock_scalars = MagicMock()\n    mock_scalars.all.return_value = [mock_model]\n    session = MagicMock()\n    session.scalars.return_value = mock_scalars\n    \n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.model_management_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\"backend.database.model_management_db.as_dict\", lambda obj: obj.__dict__)\n    \n    records = model_mgmt_db.get_model_records({\"display_name\": None}, tenant_id=\"tenant5\")\n    assert len(records) == 1\n\n\ndef test_get_model_by_display_name(monkeypatch):\n    \"\"\"Test get_model_by_display_name function (covers lines 178-185)\"\"\"\n    mock_model = SimpleNamespace(\n        model_id=6,\n        model_factory=\"openai\",\n        model_name=\"gpt-4\",\n        display_name=\"GPT-4\",\n        tenant_id=\"tenant6\",\n        delete_flag=\"N\",\n    )\n    mock_scalars = MagicMock()\n    mock_scalars.all.return_value = [mock_model]\n    session = MagicMock()\n    session.scalars.return_value = mock_scalars\n    \n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.model_management_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\"backend.database.model_management_db.as_dict\", lambda obj: obj.__dict__)\n    \n    result = model_mgmt_db.get_model_by_display_name(\"GPT-4\", \"tenant6\")\n    assert result is not None\n    assert result[\"display_name\"] == \"GPT-4\"\n\n\ndef test_get_model_id_by_display_name(monkeypatch):\n    \"\"\"Test get_model_id_by_display_name function (covers lines 199-200)\"\"\"\n    mock_model = SimpleNamespace(\n        model_id=7,\n        model_factory=\"openai\",\n        model_name=\"gpt-4\",\n        display_name=\"GPT-4\",\n        tenant_id=\"tenant7\",\n        delete_flag=\"N\",\n    )\n    mock_scalars = MagicMock()\n    mock_scalars.all.return_value = [mock_model]\n    session = MagicMock()\n    session.scalars.return_value = mock_scalars\n    \n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.model_management_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\"backend.database.model_management_db.as_dict\", lambda obj: obj.__dict__)\n    \n    result = model_mgmt_db.get_model_id_by_display_name(\"GPT-4\", \"tenant7\")\n    assert result == 7\n\n\ndef test_get_model_by_model_id_with_tenant_id(monkeypatch):\n    \"\"\"Test get_model_by_model_id with tenant_id filter (covers lines 222->226)\"\"\"\n    mock_model = SimpleNamespace(\n        model_id=8,\n        model_factory=\"openai\",\n        model_type=\"llm\",\n        tenant_id=\"tenant8\",\n        delete_flag=\"N\",\n    )\n    mock_scalars = MagicMock()\n    mock_scalars.first.return_value = mock_model\n    session = MagicMock()\n    session.scalars.return_value = mock_scalars\n    \n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.model_management_db.get_db_session\", lambda: mock_ctx)\n    \n    result = model_mgmt_db.get_model_by_model_id(8, tenant_id=\"tenant8\")\n    assert result is not None\n    assert result[\"model_id\"] == 8\n\n\ndef test_get_model_by_name_factory(monkeypatch):\n    \"\"\"Test get_model_by_name_factory function (covers lines 269-274)\"\"\"\n    mock_model = SimpleNamespace(\n        model_id=9,\n        model_factory=\"openai\",\n        model_name=\"gpt-4\",\n        tenant_id=\"tenant9\",\n        delete_flag=\"N\",\n    )\n    mock_scalars = MagicMock()\n    mock_scalars.all.return_value = [mock_model]\n    session = MagicMock()\n    session.scalars.return_value = mock_scalars\n    \n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.model_management_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\"backend.database.model_management_db.as_dict\", lambda obj: obj.__dict__)\n    \n    result = model_mgmt_db.get_model_by_name_factory(\"gpt-4\", \"openai\", \"tenant9\")\n    assert result is not None\n    assert result[\"model_name\"] == \"gpt-4\"\n    assert result[\"model_factory\"] == \"openai\"\n"
  },
  {
    "path": "test/backend/database/test_partner_db.py",
    "content": "import sys\nfrom unittest.mock import MagicMock\nimport pytest\n\n# ---------------------------------------------------------------------------\n# Prepare stub modules and objects BEFORE importing the module under test.\n# This prevents import-time errors that would otherwise be thrown because the\n# real dependencies (SQLAlchemy, a live database, etc.) are not available in\n# the unit-test environment.\n# ---------------------------------------------------------------------------\n\n# 1) Stub for `database.db_models` providing a minimal `PartnerMappingId` model.\nclass _PartnerMappingId:\n    \"\"\"Lightweight stand-in for the real SQLAlchemy model.\n    It simply keeps every kwarg as an attribute so tests can later introspect\n    what was passed in during instantiation.\n    \"\"\"\n\n    # Provide dummy class-level attributes that behave like SQLAlchemy Columns so\n    # that expressions such as ``PartnerMappingId.external_id == 'abc'`` used\n    # inside the module under test do **not** raise AttributeError.  Using\n    # MagicMock gives us an object on which ``__eq__`` is already defined and\n    # simply returns another MagicMock, which is perfectly sufficient for the\n    # purposes of our test (we never inspect the value of that comparison\n    # object).\n    external_id = MagicMock(name=\"external_id_column\")\n    internal_id = MagicMock(name=\"internal_id_column\")\n    mapping_type = MagicMock(name=\"mapping_type_column\")\n    delete_flag = MagicMock(name=\"delete_flag_column\")\n    tenant_id = MagicMock(name=\"tenant_id_column\")\n    user_id = MagicMock(name=\"user_id_column\")\n\n    def __init__(self, **kwargs):\n        self.__dict__.update(kwargs)\n\n\ndb_models_mock = MagicMock()\ndb_models_mock.PartnerMappingId = _PartnerMappingId\nsys.modules['database.db_models'] = db_models_mock\n\n# 2) Stub for `database.client` so that the module under test can import it.\nclient_mock = MagicMock()\nsys.modules['database.client'] = client_mock\n\n# 3) Provide a dummy SQLAlchemyError so that the except clause in the module\n#    works without having to install SQLAlchemy in the CI environment.\nclass _SQLAlchemyError(Exception):\n    pass\n\nsys.modules['sqlalchemy'] = MagicMock()\nsys.modules['sqlalchemy.exc'] = MagicMock()\nsys.modules['sqlalchemy.exc'].SQLAlchemyError = _SQLAlchemyError\n\n# ---------------------------------------------------------------------------\n# Now we can safely import the module under test.\n# ---------------------------------------------------------------------------\nfrom backend.database import partner_db  # noqa: E402, isort:skip\n\n# Patch the module-level SQLAlchemyError reference so tests can raise it easily.\npartner_db.SQLAlchemyError = _SQLAlchemyError\n\n\n# ---------------------------------------------------------------------------\n# Helper utilities\n# ---------------------------------------------------------------------------\nclass DummySession(MagicMock):\n    \"\"\"Context-manager friendly MagicMock used to stand in for a DB session.\"\"\"\n\n    def __enter__(self):\n        return self\n\n    def __exit__(self, exc_type, exc, tb):\n        return False  # propagate exceptions (if any)\n\n\ndef _patch_session(monkeypatch, session_instance):\n    \"\"\"Replace `get_db_session` with a context manager returning `session_instance`.\"\"\"\n\n    ctx_manager = MagicMock()\n    ctx_manager.__enter__.return_value = session_instance\n    ctx_manager.__exit__.return_value = None\n    monkeypatch.setattr(partner_db, 'get_db_session', lambda: ctx_manager)\n\n\n# ---------------------------------------------------------------------------\n# Tests for `add_mapping_id`\n# ---------------------------------------------------------------------------\n\ndef test_add_mapping_id_success(monkeypatch):\n    session = DummySession()\n    session.add = MagicMock()\n    session.commit = MagicMock()\n\n    _patch_session(monkeypatch, session)\n\n    # Call\n    partner_db.add_mapping_id(\n        internal_id=1,\n        external_id='ext-001',\n        tenant_id='tenant-A',\n        user_id='user-X',\n        mapping_type='CONVERSATION',\n    )\n\n    # Assertions – the session methods should have been invoked correctly.\n    session.add.assert_called_once()\n    args, _ = session.add.call_args\n    # The first positional arg is an instance of our stub PartnerMappingId\n    assert isinstance(args[0], _PartnerMappingId)\n    new_obj = args[0]\n    assert new_obj.internal_id == 1\n    assert new_obj.external_id == 'ext-001'\n    assert new_obj.mapping_type == 'CONVERSATION'\n    assert new_obj.tenant_id == 'tenant-A'\n    assert new_obj.user_id == 'user-X'\n\n    session.commit.assert_called_once()\n\n\ndef test_add_mapping_id_exception(monkeypatch):\n    # get_db_session will raise _SQLAlchemyError to simulate DB failure.\n    # Simulate that entering the context raises SQLAlchemyError\n    class _CM:\n        def __enter__(self):\n            raise _SQLAlchemyError(\"DB down\")\n\n        def __exit__(self, exc_type, exc, tb):\n            return False\n\n    monkeypatch.setattr(partner_db, 'get_db_session', lambda: _CM())\n\n    # Function should propagate the exception; verify it raises.\n    with pytest.raises(_SQLAlchemyError):\n        partner_db.add_mapping_id(1, 'e', 't', 'u')\n\n\n# ---------------------------------------------------------------------------\n# Tests for `get_internal_id_by_external`\n# ---------------------------------------------------------------------------\n\ndef test_get_internal_id_by_external_found(monkeypatch):\n    # Build a fake record the query should return.\n    record = _PartnerMappingId(internal_id=42, external_id='ext-42')\n\n    # Mock the SQLAlchemy query chain: session.query → filter → first\n    query_mock = MagicMock()\n    query_mock.filter.return_value = query_mock  # allow chaining\n    query_mock.first.return_value = record\n\n    session = DummySession()\n    session.query.return_value = query_mock\n\n    _patch_session(monkeypatch, session)\n\n    result = partner_db.get_internal_id_by_external('ext-42', tenant_id='tenant-id', user_id='user-id')\n    assert result == 42\n\n\ndef test_get_internal_id_by_external_not_found(monkeypatch):\n    query_mock = MagicMock()\n    query_mock.filter.return_value = query_mock\n    query_mock.first.return_value = None  # simulate no record\n\n    session = DummySession()\n    session.query.return_value = query_mock\n\n    _patch_session(monkeypatch, session)\n\n    result = partner_db.get_internal_id_by_external('missing')\n    assert result is None\n\n\ndef test_get_internal_id_by_external_exception(monkeypatch):\n    # Prepare context manager that raises inside __enter__\n    class _CM:\n        def __enter__(self):\n            raise _SQLAlchemyError(\"fail\")\n\n        def __exit__(self, exc_type, exc, tb):\n            return False\n\n    monkeypatch.setattr(partner_db, 'get_db_session', lambda: _CM())\n    with pytest.raises(_SQLAlchemyError):\n        partner_db.get_internal_id_by_external('any')\n\n\n# ---------------------------------------------------------------------------\n# Tests for `get_external_id_by_internal`\n# ---------------------------------------------------------------------------\n\ndef test_get_external_id_by_internal_found(monkeypatch):\n    record = _PartnerMappingId(internal_id=101, external_id='ext-101')\n\n    query_mock = MagicMock()\n    query_mock.filter.return_value = query_mock\n    query_mock.first.return_value = record\n\n    session = DummySession()\n    session.query.return_value = query_mock\n\n    _patch_session(monkeypatch, session)\n\n    result = partner_db.get_external_id_by_internal(101, tenant_id='tenant-id', user_id='user-id')\n    assert result == 'ext-101'\n\n\ndef test_get_external_id_by_internal_not_found(monkeypatch):\n    query_mock = MagicMock()\n    query_mock.filter.return_value = query_mock\n    query_mock.first.return_value = None\n\n    session = DummySession()\n    session.query.return_value = query_mock\n\n    _patch_session(monkeypatch, session)\n\n    result = partner_db.get_external_id_by_internal(999)\n    assert result is None\n\n\ndef test_get_external_id_by_internal_exception(monkeypatch):\n    class _CM:\n        def __enter__(self):\n            raise _SQLAlchemyError()\n\n        def __exit__(self, exc_type, exc, tb):\n            return False\n\n    monkeypatch.setattr(partner_db, 'get_db_session', lambda: _CM())\n    with pytest.raises(_SQLAlchemyError):\n        partner_db.get_external_id_by_internal(1)"
  },
  {
    "path": "test/backend/database/test_remote_mcp_db.py",
    "content": "import sys\nimport os\nsys.path.insert(0, os.path.join(os.path.dirname(__file__), \"../../../backend\"))\n\nimport pytest\nfrom unittest.mock import MagicMock\n\n# First mock the consts module to avoid ModuleNotFoundError\nconsts_mock = MagicMock()\nconsts_mock.const = MagicMock()\n# Set constants needed in consts.const\nconsts_mock.const.MINIO_ENDPOINT = \"http://localhost:9000\"\nconsts_mock.const.MINIO_ACCESS_KEY = \"test_access_key\"\nconsts_mock.const.MINIO_SECRET_KEY = \"test_secret_key\"\nconsts_mock.const.MINIO_REGION = \"us-east-1\"\nconsts_mock.const.MINIO_DEFAULT_BUCKET = \"test-bucket\"\nconsts_mock.const.POSTGRES_HOST = \"localhost\"\nconsts_mock.const.POSTGRES_USER = \"test_user\"\nconsts_mock.const.NEXENT_POSTGRES_PASSWORD = \"test_password\"\nconsts_mock.const.POSTGRES_DB = \"test_db\"\nconsts_mock.const.POSTGRES_PORT = 5432\nconsts_mock.const.DEFAULT_TENANT_ID = \"default_tenant\"\n\n# Add the mocked consts module to sys.modules\nsys.modules['consts'] = consts_mock\nsys.modules['consts.const'] = consts_mock.const\n\n# Mock utils module\nutils_mock = MagicMock()\nutils_mock.auth_utils = MagicMock()\nutils_mock.auth_utils.get_current_user_id_from_token = MagicMock(\n    return_value=\"test_user_id\")\n\n# Add the mocked utils module to sys.modules\nsys.modules['utils'] = utils_mock\nsys.modules['utils.auth_utils'] = utils_mock.auth_utils\n\n# Provide a stub for the `boto3` module so that it can be imported safely even\n# if the testing environment does not have it available.\nboto3_mock = MagicMock()\nsys.modules['boto3'] = boto3_mock\n\n# Mock the entire client module\nclient_mock = MagicMock()\nclient_mock.MinioClient = MagicMock()\nclient_mock.PostgresClient = MagicMock()\nclient_mock.db_client = MagicMock()\nclient_mock.get_db_session = MagicMock()\nclient_mock.as_dict = MagicMock()\nclient_mock.filter_property = MagicMock()\n\n# Add the mocked client module to sys.modules\nsys.modules['database.client'] = client_mock\nsys.modules['backend.database.client'] = client_mock\n\n# Mock db_models module\ndb_models_mock = MagicMock()\ndb_models_mock.McpRecord = MagicMock()\nsys.modules['database.db_models'] = db_models_mock\nsys.modules['backend.database.db_models'] = db_models_mock\n\n# Mock exceptions module\nexceptions_mock = MagicMock()\nsys.modules['consts.exceptions'] = exceptions_mock\nsys.modules['backend.consts.exceptions'] = exceptions_mock\n\n# Now import the functions to be tested\nfrom backend.database.remote_mcp_db import (\n    create_mcp_record,\n    delete_mcp_record_by_name_and_url,\n    delete_mcp_record_by_container_id,\n    update_mcp_status_by_name_and_url,\n    update_mcp_record_by_name_and_url,\n    get_mcp_records_by_tenant,\n    get_mcp_server_by_name_and_tenant,\n    get_mcp_authorization_token_by_name_and_url,\n    get_mcp_record_by_id_and_tenant,\n    check_mcp_name_exists,\n)\n\nclass MockMcpRecord:\n    def __init__(self):\n        self.mcp_id = 1\n        self.mcp_name = \"test_mcp\"\n        self.mcp_server = \"http://test.server.com\"\n        self.tenant_id = \"tenant1\"\n        self.user_id = \"user1\"\n        self.status = True\n        self.delete_flag = \"N\"\n        self.container_id = \"container-1\"\n        self.authorization_token = \"test_token_123\"\n        self.create_time = \"2024-01-01 00:00:00\"\n        self.__dict__ = {\n            \"mcp_id\": 1,\n            \"mcp_name\": \"test_mcp\",\n            \"mcp_server\": \"http://test.server.com\",\n            \"tenant_id\": \"tenant1\",\n            \"user_id\": \"user1\",\n            \"status\": True,\n            \"delete_flag\": \"N\",\n            \"container_id\": \"container-1\",\n            \"authorization_token\": \"test_token_123\",\n            \"create_time\": \"2024-01-01 00:00:00\"\n        }\n\n\n@pytest.fixture\ndef mock_session():\n    \"\"\"Create mock database session\"\"\"\n    mock_session = MagicMock()\n    mock_query = MagicMock()\n    mock_session.query.return_value = mock_query\n    return mock_session, mock_query\n\n\ndef test_create_mcp_record_success(monkeypatch, mock_session):\n    \"\"\"Test successful creation of MCP record\"\"\"\n    session, _ = mock_session\n    session.add = MagicMock()\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.remote_mcp_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\n        \"backend.database.remote_mcp_db.filter_property\", lambda data, model: data)\n    monkeypatch.setattr(\n        \"backend.database.remote_mcp_db.McpRecord\", lambda **kwargs: MagicMock())\n\n    mcp_data = {\n        \"mcp_name\": \"test_mcp\",\n        \"mcp_server\": \"http://test.server.com\",\n        \"status\": True\n    }\n\n    # Should not raise any exception\n    create_mcp_record(mcp_data, \"tenant1\", \"user1\")\n\n    session.add.assert_called_once()\n\n\ndef test_create_mcp_record_failure(monkeypatch, mock_session):\n    \"\"\"Test failure of MCP record creation - exception should propagate\"\"\"\n    from sqlalchemy.exc import SQLAlchemyError\n\n    session, _ = mock_session\n    session.add = MagicMock(side_effect=SQLAlchemyError(\"Database error\"))\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.remote_mcp_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\n        \"backend.database.remote_mcp_db.filter_property\", lambda data, model: data)\n    monkeypatch.setattr(\n        \"backend.database.remote_mcp_db.McpRecord\", lambda **kwargs: MagicMock())\n\n    mcp_data = {\n        \"mcp_name\": \"test_mcp\",\n        \"mcp_server\": \"http://test.server.com\",\n        \"status\": True\n    }\n\n    # Should raise SQLAlchemyError\n    with pytest.raises(SQLAlchemyError):\n        create_mcp_record(mcp_data, \"tenant1\", \"user1\")\n\n\ndef test_delete_mcp_record_by_name_and_url_success(monkeypatch, mock_session):\n    \"\"\"Test successful deletion of MCP record\"\"\"\n    session, query = mock_session\n    mock_update = MagicMock()\n    mock_filter = MagicMock()\n    mock_filter.update = mock_update\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.remote_mcp_db.get_db_session\", lambda: mock_ctx)\n\n    # Should not raise any exception\n    delete_mcp_record_by_name_and_url(\n        \"test_mcp\", \"http://test.server.com\", \"tenant1\", \"user1\")\n\n    mock_update.assert_called_once_with(\n        {\"delete_flag\": \"Y\", \"updated_by\": \"user1\"})\n\n\ndef test_delete_mcp_record_by_name_and_url_failure(monkeypatch, mock_session):\n    \"\"\"Test failure of MCP record deletion - exception should propagate\"\"\"\n    from sqlalchemy.exc import SQLAlchemyError\n\n    session, query = mock_session\n    query.filter.side_effect = SQLAlchemyError(\"Database error\")\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.remote_mcp_db.get_db_session\", lambda: mock_ctx)\n\n    # Should raise SQLAlchemyError\n    with pytest.raises(SQLAlchemyError):\n        delete_mcp_record_by_name_and_url(\n            \"test_mcp\", \"http://test.server.com\", \"tenant1\", \"user1\")\n\n\ndef test_delete_mcp_record_by_container_id_success(monkeypatch, mock_session):\n    \"\"\"Test successful deletion of MCP record by container ID\"\"\"\n    session, query = mock_session\n    mock_update = MagicMock()\n    mock_filter = MagicMock()\n    mock_filter.update = mock_update\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.remote_mcp_db.get_db_session\", lambda: mock_ctx)\n\n    # Should not raise any exception\n    delete_mcp_record_by_container_id(\"container-1\", \"tenant1\", \"user1\")\n\n    mock_update.assert_called_once_with(\n        {\"delete_flag\": \"Y\", \"updated_by\": \"user1\"})\n\n\ndef test_delete_mcp_record_by_container_id_failure(monkeypatch, mock_session):\n    \"\"\"Test failure of MCP record deletion by container ID - exception should propagate\"\"\"\n    from sqlalchemy.exc import SQLAlchemyError\n\n    session, query = mock_session\n    query.filter.side_effect = SQLAlchemyError(\"Database error\")\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.remote_mcp_db.get_db_session\", lambda: mock_ctx)\n\n    # Should raise SQLAlchemyError\n    with pytest.raises(SQLAlchemyError):\n        delete_mcp_record_by_container_id(\"container-1\", \"tenant1\", \"user1\")\n\n\ndef test_update_mcp_status_by_name_and_url_success(monkeypatch, mock_session):\n    \"\"\"Test successful update of MCP status\"\"\"\n    session, query = mock_session\n    mock_update = MagicMock()\n    mock_filter = MagicMock()\n    mock_filter.update = mock_update\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.remote_mcp_db.get_db_session\", lambda: mock_ctx)\n\n    # Should not raise any exception\n    update_mcp_status_by_name_and_url(\n        \"test_mcp\", \"http://test.server.com\", \"tenant1\", \"user1\", False)\n\n    mock_update.assert_called_once_with(\n        {\"status\": False, \"updated_by\": \"user1\"})\n\n\ndef test_update_mcp_status_by_name_and_url_failure(monkeypatch, mock_session):\n    \"\"\"Test failure of MCP status update - exception should propagate\"\"\"\n    from sqlalchemy.exc import SQLAlchemyError\n\n    session, query = mock_session\n    query.filter.side_effect = SQLAlchemyError(\"Database error\")\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.remote_mcp_db.get_db_session\", lambda: mock_ctx)\n\n    # Should raise SQLAlchemyError\n    with pytest.raises(SQLAlchemyError):\n        update_mcp_status_by_name_and_url(\n            \"test_mcp\", \"http://test.server.com\", \"tenant1\", \"user1\", True)\n\n\ndef test_get_mcp_records_by_tenant_success(monkeypatch, mock_session):\n    \"\"\"Test successful retrieval of MCP records list by tenant\"\"\"\n    session, query = mock_session\n    mock_mcp1 = MockMcpRecord()\n    mock_mcp2 = MockMcpRecord()\n    mock_mcp2.mcp_name = \"test_mcp2\"\n    mock_mcp2.__dict__[\"mcp_name\"] = \"test_mcp2\"\n\n    mock_order_by = MagicMock()\n    mock_order_by.all.return_value = [mock_mcp1, mock_mcp2]\n    mock_filter = MagicMock()\n    mock_filter.order_by.return_value = mock_order_by\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.remote_mcp_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\n        \"backend.database.remote_mcp_db.as_dict\", lambda obj: obj.__dict__)\n\n    result = get_mcp_records_by_tenant(\"tenant1\")\n\n    assert len(result) == 2\n    assert result[0][\"mcp_name\"] == \"test_mcp\"\n    assert result[1][\"mcp_name\"] == \"test_mcp2\"\n\n\ndef test_get_mcp_server_by_name_and_tenant_success(monkeypatch, mock_session):\n    \"\"\"Test successful retrieval of MCP server address by name and tenant\"\"\"\n    session, query = mock_session\n    mock_mcp = MockMcpRecord()\n\n    mock_first = MagicMock()\n    mock_first.return_value = mock_mcp\n    mock_filter = MagicMock()\n    mock_filter.first = mock_first\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.remote_mcp_db.get_db_session\", lambda: mock_ctx)\n\n    result = get_mcp_server_by_name_and_tenant(\"test_mcp\", \"tenant1\")\n\n    assert result == \"http://test.server.com\"\n\n\ndef test_get_mcp_server_by_name_and_tenant_not_found(monkeypatch, mock_session):\n    \"\"\"Test retrieval of MCP server address by name and tenant when record does not exist\"\"\"\n    session, query = mock_session\n\n    mock_first = MagicMock()\n    mock_first.return_value = None\n    mock_filter = MagicMock()\n    mock_filter.first = mock_first\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.remote_mcp_db.get_db_session\", lambda: mock_ctx)\n\n    result = get_mcp_server_by_name_and_tenant(\"nonexistent_mcp\", \"tenant1\")\n\n    assert result == \"\"\n\n\ndef test_get_mcp_server_by_name_and_tenant_database_error(monkeypatch, mock_session):\n    \"\"\"Test database error when retrieving MCP server address - exception should propagate\"\"\"\n    from sqlalchemy.exc import SQLAlchemyError\n\n    session, query = mock_session\n    query.filter.side_effect = SQLAlchemyError(\"Database error\")\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.remote_mcp_db.get_db_session\", lambda: mock_ctx)\n\n    # Should raise SQLAlchemyError, not MCPDatabaseError\n    with pytest.raises(SQLAlchemyError):\n        get_mcp_server_by_name_and_tenant(\"test_mcp\", \"tenant1\")\n\n\ndef test_check_mcp_name_exists_true(monkeypatch, mock_session):\n    \"\"\"Test checking MCP name exists, returns True\"\"\"\n    session, query = mock_session\n    mock_mcp = MockMcpRecord()\n\n    mock_first = MagicMock()\n    mock_first.return_value = mock_mcp\n    mock_filter = MagicMock()\n    mock_filter.first = mock_first\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.remote_mcp_db.get_db_session\", lambda: mock_ctx)\n\n    result = check_mcp_name_exists(\"test_mcp\", \"tenant1\")\n\n    assert result is True\n\n\ndef test_check_mcp_name_exists_false(monkeypatch, mock_session):\n    \"\"\"Test checking MCP name exists, returns False\"\"\"\n    session, query = mock_session\n\n    mock_first = MagicMock()\n    mock_first.return_value = None\n    mock_filter = MagicMock()\n    mock_filter.first = mock_first\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.remote_mcp_db.get_db_session\", lambda: mock_ctx)\n\n    result = check_mcp_name_exists(\"nonexistent_mcp\", \"tenant1\")\n\n    assert result is False\n\n\ndef test_check_mcp_name_exists_database_error(monkeypatch, mock_session):\n    \"\"\"Test database error when checking if MCP name exists - exception should propagate\"\"\"\n    from sqlalchemy.exc import SQLAlchemyError\n\n    session, query = mock_session\n    query.filter.side_effect = SQLAlchemyError(\"Database error\")\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.remote_mcp_db.get_db_session\", lambda: mock_ctx)\n\n    # Should raise SQLAlchemyError, not MCPDatabaseError\n    with pytest.raises(SQLAlchemyError):\n        check_mcp_name_exists(\"test_mcp\", \"tenant1\")\n\n# Mock class for MCPUpdateRequest\n\n\nclass MockMCPUpdateRequest:\n    def __init__(self, current_service_name, current_mcp_url, new_service_name, new_mcp_url, new_authorization_token=None):\n        self.current_service_name = current_service_name\n        self.current_mcp_url = current_mcp_url\n        self.new_service_name = new_service_name\n        self.new_mcp_url = new_mcp_url\n        self.new_authorization_token = new_authorization_token\n\n\ndef test_update_mcp_record_by_name_and_url_success(monkeypatch, mock_session):\n    \"\"\"Test successful update of MCP record by name and URL\"\"\"\n    session, query = mock_session\n    mock_update = MagicMock()\n    mock_filter = MagicMock()\n    mock_filter.update = mock_update\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.remote_mcp_db.get_db_session\", lambda: mock_ctx)\n\n    update_data = MockMCPUpdateRequest(\n        current_service_name=\"old_name\",\n        current_mcp_url=\"http://old.url\",\n        new_service_name=\"new_name\",\n        new_mcp_url=\"http://new.url\"\n    )\n\n    # Should not raise any exception\n    update_mcp_record_by_name_and_url(\n        update_data=update_data,\n        tenant_id=\"tenant1\",\n        user_id=\"user1\",\n        status=True\n    )\n\n    # Verify the update was called with correct fields\n    mock_update.assert_called_once_with({\n        \"mcp_name\": \"new_name\",\n        \"mcp_server\": \"http://new.url\",\n        \"updated_by\": \"user1\",\n        \"status\": True,\n        \"authorization_token\": None\n    })\n\n\ndef test_update_mcp_record_by_name_and_url_without_status(monkeypatch, mock_session):\n    \"\"\"Test update of MCP record by name and URL without status parameter\"\"\"\n    session, query = mock_session\n    mock_update = MagicMock()\n    mock_filter = MagicMock()\n    mock_filter.update = mock_update\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.remote_mcp_db.get_db_session\", lambda: mock_ctx)\n\n    update_data = MockMCPUpdateRequest(\n        current_service_name=\"old_name\",\n        current_mcp_url=\"http://old.url\",\n        new_service_name=\"new_name\",\n        new_mcp_url=\"http://new.url\"\n    )\n\n    # Should not raise any exception\n    update_mcp_record_by_name_and_url(\n        update_data=update_data,\n        tenant_id=\"tenant1\",\n        user_id=\"user1\"\n    )\n\n    # Verify the update was called with correct fields (no status)\n    mock_update.assert_called_once_with({\n        \"mcp_name\": \"new_name\",\n        \"mcp_server\": \"http://new.url\",\n        \"updated_by\": \"user1\",\n        \"authorization_token\": None\n    })\n\n\ndef test_update_mcp_record_by_name_and_url_failure(monkeypatch, mock_session):\n    \"\"\"Test failure of MCP record update - exception should propagate\"\"\"\n    from sqlalchemy.exc import SQLAlchemyError\n\n    session, query = mock_session\n    query.filter.side_effect = SQLAlchemyError(\"Database error\")\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.remote_mcp_db.get_db_session\", lambda: mock_ctx)\n\n    update_data = MockMCPUpdateRequest(\n        current_service_name=\"old_name\",\n        current_mcp_url=\"http://old.url\",\n        new_service_name=\"new_name\",\n        new_mcp_url=\"http://new.url\"\n    )\n\n    # Should raise SQLAlchemyError\n    with pytest.raises(SQLAlchemyError):\n        update_mcp_record_by_name_and_url(\n            update_data=update_data,\n            tenant_id=\"tenant1\",\n            user_id=\"user1\",\n            status=False\n        )\n\n\n# Integration test\ndef test_mcp_record_lifecycle(monkeypatch, mock_session):\n    \"\"\"Test complete MCP record lifecycle: create, query, update status, delete\"\"\"\n    session, query = mock_session\n\n    # Mock database operations\n    session.add = MagicMock()\n\n    mock_mcp = MockMcpRecord()\n    mock_first = MagicMock()\n    mock_first.return_value = mock_mcp\n    mock_filter = MagicMock()\n    mock_filter.first = mock_first\n    mock_filter.update = MagicMock()\n    query.filter.return_value = mock_filter\n\n    # Create a Mock class to simulate McpRecord\n    mock_mcp_record_class = MagicMock()\n    mock_mcp_record_class.mcp_name = MagicMock()\n    mock_mcp_record_class.tenant_id = MagicMock()\n    mock_mcp_record_class.delete_flag = MagicMock()\n    mock_mcp_record_class.mcp_server = MagicMock()\n    mock_mcp_record_class.container_id = MagicMock()\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.remote_mcp_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\n        \"backend.database.remote_mcp_db.filter_property\", lambda data, model: data)\n    monkeypatch.setattr(\n        \"backend.database.remote_mcp_db.McpRecord\", mock_mcp_record_class)\n\n    # 1. Create MCP record - should not raise exception\n    mcp_data = {\n        \"mcp_name\": \"test_mcp\",\n        \"mcp_server\": \"http://test.server.com\",\n        \"status\": True,\n        \"container_id\": \"container-1\",\n    }\n    create_mcp_record(mcp_data, \"tenant1\", \"user1\")\n\n    # 2. Check if MCP name exists\n    exists_result = check_mcp_name_exists(\"test_mcp\", \"tenant1\")\n    assert exists_result is True\n\n    # 3. Get MCP server address\n    server_result = get_mcp_server_by_name_and_tenant(\"test_mcp\", \"tenant1\")\n    assert server_result == \"http://test.server.com\"\n\n    # 4. Update MCP status - should not raise exception\n    update_mcp_status_by_name_and_url(\n        \"test_mcp\", \"http://test.server.com\", \"tenant1\", \"user1\", False)\n\n    # 5. Delete MCP record by name/url - should not raise exception\n    delete_mcp_record_by_name_and_url(\n        \"test_mcp\", \"http://test.server.com\", \"tenant1\", \"user1\")\n\n    # 6. Delete MCP record by container_id - should not raise exception\n    delete_mcp_record_by_container_id(\"container-1\", \"tenant1\", \"user1\")\n\n\ndef test_get_mcp_authorization_token_by_name_and_url_success(monkeypatch, mock_session):\n    \"\"\"Test successful retrieval of MCP authorization token by name and URL\"\"\"\n    session, query = mock_session\n    mock_mcp = MockMcpRecord()\n    mock_mcp.authorization_token = \"bearer_token_123\"\n\n    mock_first = MagicMock()\n    mock_first.return_value = mock_mcp\n    mock_filter = MagicMock()\n    mock_filter.first = mock_first\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.remote_mcp_db.get_db_session\", lambda: mock_ctx)\n\n    result = get_mcp_authorization_token_by_name_and_url(\n        \"test_mcp\", \"http://test.server.com\", \"tenant1\")\n\n    assert result == \"bearer_token_123\"\n\n\ndef test_get_mcp_authorization_token_by_name_and_url_not_found(monkeypatch, mock_session):\n    \"\"\"Test retrieval of MCP authorization token when record does not exist\"\"\"\n    session, query = mock_session\n\n    mock_first = MagicMock()\n    mock_first.return_value = None\n    mock_filter = MagicMock()\n    mock_filter.first = mock_first\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.remote_mcp_db.get_db_session\", lambda: mock_ctx)\n\n    result = get_mcp_authorization_token_by_name_and_url(\n        \"nonexistent_mcp\", \"http://test.server.com\", \"tenant1\")\n\n    assert result is None\n\n\ndef test_get_mcp_authorization_token_by_name_and_url_database_error(monkeypatch, mock_session):\n    \"\"\"Test database error when retrieving MCP authorization token - exception should propagate\"\"\"\n    from sqlalchemy.exc import SQLAlchemyError\n\n    session, query = mock_session\n    query.filter.side_effect = SQLAlchemyError(\"Database error\")\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.remote_mcp_db.get_db_session\", lambda: mock_ctx)\n\n    # Should raise SQLAlchemyError\n    with pytest.raises(SQLAlchemyError):\n        get_mcp_authorization_token_by_name_and_url(\n            \"test_mcp\", \"http://test.server.com\", \"tenant1\")\n\n\ndef test_update_mcp_record_by_name_and_url_with_authorization_token(monkeypatch, mock_session):\n    \"\"\"Test update of MCP record with authorization token\"\"\"\n    session, query = mock_session\n    mock_update = MagicMock()\n    mock_filter = MagicMock()\n    mock_filter.update = mock_update\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.remote_mcp_db.get_db_session\", lambda: mock_ctx)\n\n    update_data = MockMCPUpdateRequest(\n        current_service_name=\"old_name\",\n        current_mcp_url=\"http://old.url\",\n        new_service_name=\"new_name\",\n        new_mcp_url=\"http://new.url\",\n        new_authorization_token=\"new_token_456\"\n    )\n\n    # Should not raise any exception\n    update_mcp_record_by_name_and_url(\n        update_data=update_data,\n        tenant_id=\"tenant1\",\n        user_id=\"user1\",\n        status=True\n    )\n\n    # Verify the update was called with authorization_token\n    mock_update.assert_called_once_with({\n        \"mcp_name\": \"new_name\",\n        \"mcp_server\": \"http://new.url\",\n        \"updated_by\": \"user1\",\n        \"status\": True,\n        \"authorization_token\": \"new_token_456\"\n    })\n\n\ndef test_update_mcp_record_by_name_and_url_without_authorization_token(monkeypatch, mock_session):\n    \"\"\"Test update of MCP record without authorization token (None will be included in update)\"\"\"\n    session, query = mock_session\n    mock_update = MagicMock()\n    mock_filter = MagicMock()\n    mock_filter.update = mock_update\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.remote_mcp_db.get_db_session\", lambda: mock_ctx)\n\n    update_data = MockMCPUpdateRequest(\n        current_service_name=\"old_name\",\n        current_mcp_url=\"http://old.url\",\n        new_service_name=\"new_name\",\n        new_mcp_url=\"http://new.url\"\n        # new_authorization_token is None by default\n    )\n\n    # Should not raise any exception\n    update_mcp_record_by_name_and_url(\n        update_data=update_data,\n        tenant_id=\"tenant1\",\n        user_id=\"user1\",\n        status=True\n    )\n\n    # Verify the update was called with authorization_token as None\n    mock_update.assert_called_once_with({\n        \"mcp_name\": \"new_name\",\n        \"mcp_server\": \"http://new.url\",\n        \"updated_by\": \"user1\",\n        \"status\": True,\n        \"authorization_token\": None\n    })\n\n\ndef test_update_mcp_record_by_name_and_url_with_none_authorization_token(monkeypatch, mock_session):\n    \"\"\"Test update of MCP record with None authorization token (None will be included in update)\"\"\"\n    session, query = mock_session\n    mock_update = MagicMock()\n    mock_filter = MagicMock()\n    mock_filter.update = mock_update\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.remote_mcp_db.get_db_session\", lambda: mock_ctx)\n\n    update_data = MockMCPUpdateRequest(\n        current_service_name=\"old_name\",\n        current_mcp_url=\"http://old.url\",\n        new_service_name=\"new_name\",\n        new_mcp_url=\"http://new.url\",\n        new_authorization_token=None  # Explicitly None\n    )\n\n    # Should not raise any exception\n    update_mcp_record_by_name_and_url(\n        update_data=update_data,\n        tenant_id=\"tenant1\",\n        user_id=\"user1\"\n    )\n\n    # Verify the update was called with authorization_token as None\n    mock_update.assert_called_once_with({\n        \"mcp_name\": \"new_name\",\n        \"mcp_server\": \"http://new.url\",\n        \"updated_by\": \"user1\",\n        \"authorization_token\": None\n    })\n\n\ndef test_update_mcp_record_by_name_and_url_without_authorization_token_attribute(monkeypatch, mock_session):\n    \"\"\"Test update of MCP record when object does not have new_authorization_token attribute\"\"\"\n    session, query = mock_session\n    mock_update = MagicMock()\n    mock_filter = MagicMock()\n    mock_filter.update = mock_update\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.remote_mcp_db.get_db_session\", lambda: mock_ctx)\n\n    # Create an object without new_authorization_token attribute\n    class UpdateDataWithoutToken:\n        def __init__(self):\n            self.current_service_name = \"old_name\"\n            self.current_mcp_url = \"http://old.url\"\n            self.new_service_name = \"new_name\"\n            self.new_mcp_url = \"http://new.url\"\n            # No new_authorization_token attribute\n\n    update_data = UpdateDataWithoutToken()\n\n    # Should not raise any exception\n    update_mcp_record_by_name_and_url(\n        update_data=update_data,\n        tenant_id=\"tenant1\",\n        user_id=\"user1\",\n        status=False\n    )\n\n    # Verify the update was called without authorization_token\n    mock_update.assert_called_once_with({\n        \"mcp_name\": \"new_name\",\n        \"mcp_server\": \"http://new.url\",\n        \"updated_by\": \"user1\",\n        \"status\": False\n    })\n\n\ndef test_get_mcp_record_by_id_and_tenant_success(monkeypatch, mock_session):\n    \"\"\"Test successful retrieval of MCP record by ID and tenant\"\"\"\n    session, query = mock_session\n    mock_mcp = MockMcpRecord()\n    mock_mcp.mcp_id = 123\n\n    mock_first = MagicMock()\n    mock_first.return_value = mock_mcp\n    mock_filter = MagicMock()\n    mock_filter.first = mock_first\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.remote_mcp_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\n        \"backend.database.remote_mcp_db.as_dict\", lambda obj: obj.__dict__)\n\n    result = get_mcp_record_by_id_and_tenant(123, \"tenant1\")\n\n    assert result is not None\n    assert result[\"mcp_id\"] == 123\n    assert result[\"mcp_name\"] == \"test_mcp\"\n    assert result[\"mcp_server\"] == \"http://test.server.com\"\n\n\ndef test_get_mcp_record_by_id_and_tenant_not_found(monkeypatch, mock_session):\n    \"\"\"Test retrieval of MCP record by ID and tenant when record does not exist\"\"\"\n    session, query = mock_session\n\n    mock_first = MagicMock()\n    mock_first.return_value = None\n    mock_filter = MagicMock()\n    mock_filter.first = mock_first\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.remote_mcp_db.get_db_session\", lambda: mock_ctx)\n\n    result = get_mcp_record_by_id_and_tenant(999, \"tenant1\")\n\n    assert result is None\n\n\ndef test_get_mcp_record_by_id_and_tenant_database_error(monkeypatch, mock_session):\n    \"\"\"Test database error when retrieving MCP record by ID - exception should propagate\"\"\"\n    from sqlalchemy.exc import SQLAlchemyError\n\n    session, query = mock_session\n    query.filter.side_effect = SQLAlchemyError(\"Database error\")\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.remote_mcp_db.get_db_session\", lambda: mock_ctx)\n\n    # Should raise SQLAlchemyError\n    with pytest.raises(SQLAlchemyError):\n        get_mcp_record_by_id_and_tenant(123, \"tenant1\")\n"
  },
  {
    "path": "test/backend/database/test_role_permission_db.py",
    "content": "import sys\nimport pytest\nfrom unittest.mock import MagicMock\n\n# First mock the consts module to avoid ModuleNotFoundError\nconsts_mock = MagicMock()\nconsts_mock.const = MagicMock()\n# Set required constants in consts.const\nconsts_mock.const.MINIO_ENDPOINT = \"http://localhost:9000\"\nconsts_mock.const.MINIO_ACCESS_KEY = \"test_access_key\"\nconsts_mock.const.MINIO_SECRET_KEY = \"test_secret_key\"\nconsts_mock.const.MINIO_REGION = \"us-east-1\"\nconsts_mock.const.MINIO_DEFAULT_BUCKET = \"test-bucket\"\nconsts_mock.const.POSTGRES_HOST = \"localhost\"\nconsts_mock.const.POSTGRES_USER = \"test_user\"\nconsts_mock.const.NEXENT_POSTGRES_PASSWORD = \"test_password\"\nconsts_mock.const.POSTGRES_DB = \"test_db\"\nconsts_mock.const.POSTGRES_PORT = 5432\nconsts_mock.const.DEFAULT_TENANT_ID = \"default_tenant\"\n\n# Add the mocked consts module to sys.modules\nsys.modules['consts'] = consts_mock\nsys.modules['consts.const'] = consts_mock.const\n\n# Mock utils module\nutils_mock = MagicMock()\nutils_mock.auth_utils = MagicMock()\nutils_mock.auth_utils.get_current_user_id_from_token = MagicMock(return_value=\"test_user_id\")\n\n# Add the mocked utils module to sys.modules\nsys.modules['utils'] = utils_mock\nsys.modules['utils.auth_utils'] = utils_mock.auth_utils\n\n# Provide a stub for the `boto3` module so that it can be imported safely even\n# if the testing environment does not have it available.\nboto3_mock = MagicMock()\nsys.modules['boto3'] = boto3_mock\n\n# Mock the entire client module\nclient_mock = MagicMock()\nclient_mock.MinioClient = MagicMock()\nclient_mock.PostgresClient = MagicMock()\nclient_mock.db_client = MagicMock()\nclient_mock.get_db_session = MagicMock()\nclient_mock.as_dict = MagicMock()\nclient_mock.filter_property = MagicMock()\n\n# Add the mocked client module to sys.modules\nsys.modules['database.client'] = client_mock\nsys.modules['backend.database.client'] = client_mock\n\n# Mock db_models module\ndb_models_mock = MagicMock()\ndb_models_mock.RolePermission = MagicMock()\n\nclass MockRolePermission:\n    def __init__(self, **kwargs):\n        self.role_permission_id = kwargs.get('role_permission_id', 1)\n        self.user_role = kwargs.get('user_role', 'USER')\n        self.permission_category = kwargs.get('permission_category', 'SYSTEM')\n        self.permission_type = kwargs.get('permission_type', 'READ')\n        self.permission_subtype = kwargs.get('permission_subtype', 'BASIC')\n        self.created_by = kwargs.get('created_by', 'test_user')\n        self.updated_by = kwargs.get('updated_by', 'test_user')\n        self.delete_flag = kwargs.get('delete_flag', 'N')\n        self.create_time = kwargs.get('create_time', '2024-01-01 00:00:00')\n        self.update_time = kwargs.get('update_time', '2024-01-01 00:00:00')\n\n\n# Add the mocked db_models module to sys.modules\nsys.modules['database.db_models'] = db_models_mock\nsys.modules['backend.database.db_models'] = db_models_mock\n\n# Mock exceptions module\nexceptions_mock = MagicMock()\nsys.modules['consts.exceptions'] = exceptions_mock\nsys.modules['backend.consts.exceptions'] = exceptions_mock\n\n# Mock sqlalchemy module\nsqlalchemy_mock = MagicMock()\nsqlalchemy_mock.exc = MagicMock()\n\nclass MockSQLAlchemyError(Exception):\n    pass\n\nsqlalchemy_mock.exc.SQLAlchemyError = MockSQLAlchemyError\n\n# Add the mocked sqlalchemy module to sys.modules\nsys.modules['sqlalchemy'] = sqlalchemy_mock\nsys.modules['sqlalchemy.exc'] = sqlalchemy_mock.exc\n\n# Now we can safely import the module under test\nfrom backend.database.role_permission_db import (\n    get_all_role_permissions,\n    check_role_permission,\n    get_permissions_by_category\n)\n\n\n@pytest.fixture\ndef mock_session():\n    \"\"\"Create mock database session\"\"\"\n    mock_session = MagicMock()\n    mock_query = MagicMock()\n    mock_session.query.return_value = mock_query\n    return mock_session, mock_query\n\n\n\ndef test_get_all_role_permissions_success(monkeypatch, mock_session):\n    \"\"\"Test retrieving all role permissions\"\"\"\n    session, query = mock_session\n\n    mock_permission1 = MockRolePermission(user_role=\"USER\")\n    mock_permission2 = MockRolePermission(user_role=\"ADMIN\")\n\n    # Mock the .all() call directly since get_all_role_permissions() doesn't use filter\n    query.all.return_value = [mock_permission1, mock_permission2]\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.role_permission_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\"backend.database.role_permission_db.as_dict\", lambda obj: obj.__dict__)\n\n    result = get_all_role_permissions()\n\n    assert len(result) == 2\n    assert result[0][\"user_role\"] == \"USER\"\n    assert result[1][\"user_role\"] == \"ADMIN\"\n\n\ndef test_check_role_permission_true(monkeypatch, mock_session):\n    \"\"\"Test checking role permission - permission exists\"\"\"\n    session, query = mock_session\n\n    mock_permission = MockRolePermission()\n\n    # Mock chain: query.filter().filter().filter().filter().first()\n    mock_filter_final = MagicMock()\n    mock_filter_final.first.return_value = mock_permission\n\n    mock_filter3 = MagicMock()\n    mock_filter3.filter.return_value = mock_filter_final\n\n    mock_filter2 = MagicMock()\n    mock_filter2.filter.return_value = mock_filter3\n\n    mock_filter1 = MagicMock()\n    mock_filter1.filter.return_value = mock_filter2\n\n    query.filter.return_value = mock_filter1\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.role_permission_db.get_db_session\", lambda: mock_ctx)\n\n    result = check_role_permission(\n        user_role=\"USER\",\n        permission_category=\"KNOWLEDGE_BASE\",\n        permission_type=\"KNOWLEDGE\",\n        permission_subtype=\"READ\"\n    )\n\n    assert result is True\n\n\ndef test_check_role_permission_false(monkeypatch, mock_session):\n    \"\"\"Test checking role permission - permission does not exist\"\"\"\n    session, query = mock_session\n\n    # Mock chain: query.filter().filter().filter().filter().first()\n    mock_filter_final = MagicMock()\n    mock_filter_final.first.return_value = None\n\n    mock_filter3 = MagicMock()\n    mock_filter3.filter.return_value = mock_filter_final\n\n    mock_filter2 = MagicMock()\n    mock_filter2.filter.return_value = mock_filter3\n\n    mock_filter1 = MagicMock()\n    mock_filter1.filter.return_value = mock_filter2\n\n    query.filter.return_value = mock_filter1\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.role_permission_db.get_db_session\", lambda: mock_ctx)\n\n    result = check_role_permission(\n        user_role=\"USER\",\n        permission_category=\"NONEXISTENT\",\n        permission_type=\"NONEXISTENT\",\n        permission_subtype=\"NONEXISTENT\"\n    )\n\n    assert result is False\n\n\ndef test_get_permissions_by_category_success(monkeypatch, mock_session):\n    \"\"\"Test retrieving permissions by category\"\"\"\n    session, query = mock_session\n\n    mock_permission1 = MockRolePermission(\n        role_permission_id=1,\n        user_role=\"USER\",\n        permission_category=\"KNOWLEDGE_BASE\"\n    )\n    mock_permission2 = MockRolePermission(\n        role_permission_id=2,\n        user_role=\"ADMIN\",\n        permission_category=\"KNOWLEDGE_BASE\"\n    )\n\n    mock_filter = MagicMock()\n    mock_filter.all.return_value = [mock_permission1, mock_permission2]\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.role_permission_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\"backend.database.role_permission_db.as_dict\", lambda obj: obj.__dict__)\n\n    result = get_permissions_by_category(\"KNOWLEDGE_BASE\")\n\n    assert len(result) == 2\n    assert all(perm[\"permission_category\"] == \"KNOWLEDGE_BASE\" for perm in result)\n\n\ndef test_database_error_handling(monkeypatch, mock_session):\n    \"\"\"Test database error handling\"\"\"\n    session, query = mock_session\n    query.filter.side_effect = MockSQLAlchemyError(\"Database error\")\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.role_permission_db.get_db_session\", lambda: mock_ctx)\n\n    with pytest.raises(MockSQLAlchemyError, match=\"Database error\"):\n        get_permissions_by_category(\"USER\")\n\n\ndef test_check_role_permission_partial_match(monkeypatch, mock_session):\n    \"\"\"Test checking role permission with partial criteria\"\"\"\n    session, query = mock_session\n\n    mock_permission = MockRolePermission()\n\n    # Mock filter chain for partial matching\n    mock_filter1 = MagicMock()\n    mock_filter2 = MagicMock()\n    mock_filter3 = MagicMock()\n    mock_filter3.first.return_value = mock_permission\n\n    query.filter.return_value = mock_filter1\n    mock_filter1.filter.return_value = mock_filter2\n    mock_filter2.filter.return_value = mock_filter3\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.role_permission_db.get_db_session\", lambda: mock_ctx)\n\n    result = check_role_permission(\n        user_role=\"USER\",\n        permission_category=\"KNOWLEDGE_BASE\"\n        # Only checking category, not type or subtype\n    )\n\n    assert result is True\n"
  },
  {
    "path": "test/backend/database/test_tenant_config_db.py",
    "content": "import sys\nimport os\nsys.path.insert(0, os.path.join(os.path.dirname(__file__), \"../../..\"))\n\nimport pytest\nfrom unittest.mock import MagicMock\n\n# First mock the consts module to avoid ModuleNotFoundError\nconsts_mock = MagicMock()\nconsts_mock.const = MagicMock()\n# Set required constants in consts.const\nconsts_mock.const.MINIO_ENDPOINT = \"http://localhost:9000\"\nconsts_mock.const.MINIO_ACCESS_KEY = \"test_access_key\"\nconsts_mock.const.MINIO_SECRET_KEY = \"test_secret_key\"\nconsts_mock.const.MINIO_REGION = \"us-east-1\"\nconsts_mock.const.MINIO_DEFAULT_BUCKET = \"test-bucket\"\nconsts_mock.const.POSTGRES_HOST = \"localhost\"\nconsts_mock.const.POSTGRES_USER = \"test_user\"\nconsts_mock.const.NEXENT_POSTGRES_PASSWORD = \"test_password\"\nconsts_mock.const.POSTGRES_DB = \"test_db\"\nconsts_mock.const.POSTGRES_PORT = 5432\nconsts_mock.const.DEFAULT_TENANT_ID = \"default_tenant\"\nconsts_mock.const.TENANT_ID = \"tenant_id\"\n\n# Add the mocked consts module to sys.modules\nsys.modules['consts'] = consts_mock\nsys.modules['consts.const'] = consts_mock.const\n\n# Mock utils module\nutils_mock = MagicMock()\nutils_mock.auth_utils = MagicMock()\nutils_mock.auth_utils.get_current_user_id_from_token = MagicMock(return_value=\"test_user_id\")\n\n# Add the mocked utils module to sys.modules\nsys.modules['utils'] = utils_mock\nsys.modules['utils.auth_utils'] = utils_mock.auth_utils\n\n# Mock the entire client module\nclient_mock = MagicMock()\nclient_mock.MinioClient = MagicMock()\nclient_mock.PostgresClient = MagicMock()\nclient_mock.db_client = MagicMock()\nclient_mock.get_db_session = MagicMock()\nclient_mock.as_dict = MagicMock()\nclient_mock.filter_property = MagicMock()\n\n# Add the mocked client module to sys.modules\nsys.modules['database.client'] = client_mock\nsys.modules['backend.database.client'] = client_mock\n\n# Mock db_models module\ndb_models_mock = MagicMock()\ndb_models_mock.TenantConfig = MagicMock()\n\nclass MockTenantConfig:\n    def __init__(self, **kwargs):\n        self.tenant_config_id = kwargs.get('tenant_config_id', 1)\n        self.tenant_id = kwargs.get('tenant_id', 'test_tenant')\n        self.user_id = kwargs.get('user_id', 'test_user')\n        self.config_key = kwargs.get('config_key', 'test_key')\n        self.config_value = kwargs.get('config_value', 'test_value')\n        self.created_by = kwargs.get('created_by', 'test_user')\n        self.updated_by = kwargs.get('updated_by', 'test_user')\n        self.delete_flag = kwargs.get('delete_flag', 'N')\n        self.create_time = kwargs.get('create_time', '2024-01-01 00:00:00')\n        self.update_time = kwargs.get('update_time', '2024-01-01 00:00:00')\n\n# Add the mocked db_models module to sys.modules\nsys.modules['database.db_models'] = db_models_mock\nsys.modules['backend.database.db_models'] = db_models_mock\n\n# Mock sqlalchemy module\nsqlalchemy_mock = MagicMock()\nsqlalchemy_mock.exc = MagicMock()\n\nclass MockSQLAlchemyError(Exception):\n    pass\n\nsqlalchemy_mock.exc.SQLAlchemyError = MockSQLAlchemyError\n\n# Add the mocked sqlalchemy module to sys.modules\nsys.modules['sqlalchemy'] = sqlalchemy_mock\nsys.modules['sqlalchemy.exc'] = sqlalchemy_mock.exc\n\n# Now we can safely import the module under test\nfrom backend.database.tenant_config_db import (\n    get_all_configs_by_tenant_id,\n    get_tenant_config_info,\n    get_single_config_info,\n    insert_config,\n    delete_config_by_tenant_config_id,\n    delete_config,\n    update_config_by_tenant_config_id,\n    update_config_by_tenant_config_id_and_data,\n    get_all_tenant_ids\n)\n\n\n@pytest.fixture\ndef mock_session():\n    \"\"\"Create mock database session\"\"\"\n    mock_session = MagicMock()\n    mock_query = MagicMock()\n    mock_session.query.return_value = mock_query\n    return mock_session, mock_query\n\n\ndef test_get_all_configs_by_tenant_id_success(monkeypatch, mock_session):\n    \"\"\"Test successfully retrieving all configs for a tenant\"\"\"\n    session, query = mock_session\n\n    mock_config1 = MockTenantConfig(\n        tenant_config_id=1,\n        config_key=\"key1\",\n        config_value=\"value1\",\n        update_time=\"2024-01-01 10:00:00\"\n    )\n    mock_config2 = MockTenantConfig(\n        tenant_config_id=2,\n        config_key=\"key2\",\n        config_value=\"value2\",\n        update_time=\"2024-01-01 11:00:00\"\n    )\n\n    mock_filter = MagicMock()\n    mock_filter.all.return_value = [mock_config1, mock_config2]\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.tenant_config_db.get_db_session\", lambda: mock_ctx)\n\n    result = get_all_configs_by_tenant_id(\"test_tenant\")\n\n    assert len(result) == 2\n    assert result[0][\"config_key\"] == \"key1\"\n    assert result[0][\"config_value\"] == \"value1\"\n    assert result[1][\"config_key\"] == \"key2\"\n    assert result[1][\"config_value\"] == \"value2\"\n\n\ndef test_get_all_configs_by_tenant_id_empty(monkeypatch, mock_session):\n    \"\"\"Test retrieving configs when none exist\"\"\"\n    session, query = mock_session\n\n    mock_filter = MagicMock()\n    mock_filter.all.return_value = []\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.tenant_config_db.get_db_session\", lambda: mock_ctx)\n\n    result = get_all_configs_by_tenant_id(\"test_tenant\")\n\n    assert result == []\n\n\ndef test_get_tenant_config_info_success(monkeypatch, mock_session):\n    \"\"\"Test successfully retrieving tenant config info for user and key\"\"\"\n    session, query = mock_session\n\n    mock_config = MockTenantConfig(\n        config_value=\"test_value\",\n        tenant_config_id=123\n    )\n\n    mock_filter = MagicMock()\n    mock_filter.all.return_value = [mock_config]\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.tenant_config_db.get_db_session\", lambda: mock_ctx)\n\n    result = get_tenant_config_info(\"test_tenant\", \"test_user\", \"test_key\")\n\n    assert len(result) == 1\n    assert result[0][\"config_value\"] == \"test_value\"\n    assert result[0][\"tenant_config_id\"] == 123\n\n\ndef test_get_tenant_config_info_not_found(monkeypatch, mock_session):\n    \"\"\"Test retrieving tenant config info when not found\"\"\"\n    session, query = mock_session\n\n    mock_filter = MagicMock()\n    mock_filter.all.return_value = []\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.tenant_config_db.get_db_session\", lambda: mock_ctx)\n\n    result = get_tenant_config_info(\"test_tenant\", \"test_user\", \"test_key\")\n\n    assert result == []\n\n\ndef test_get_single_config_info_success(monkeypatch, mock_session):\n    \"\"\"Test successfully retrieving single config info\"\"\"\n    session, query = mock_session\n\n    mock_config = MockTenantConfig(\n        config_value=\"single_value\",\n        tenant_config_id=456\n    )\n\n    mock_filter = MagicMock()\n    mock_filter.first.return_value = mock_config\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.tenant_config_db.get_db_session\", lambda: mock_ctx)\n\n    result = get_single_config_info(\"test_tenant\", \"test_key\")\n\n    assert result[\"config_value\"] == \"single_value\"\n    assert result[\"tenant_config_id\"] == 456\n\n\ndef test_get_single_config_info_not_found(monkeypatch, mock_session):\n    \"\"\"Test retrieving single config info when not found\"\"\"\n    session, query = mock_session\n\n    mock_filter = MagicMock()\n    mock_filter.first.return_value = None\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.tenant_config_db.get_db_session\", lambda: mock_ctx)\n\n    result = get_single_config_info(\"test_tenant\", \"test_key\")\n\n    assert result == {}\n\n\ndef test_insert_config_success(monkeypatch, mock_session):\n    \"\"\"Test successfully inserting config\"\"\"\n    session, _ = mock_session\n    session.add = MagicMock()\n    session.commit = MagicMock()\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.tenant_config_db.get_db_session\", lambda: mock_ctx)\n\n    insert_data = {\n        \"tenant_id\": \"test_tenant\",\n        \"user_id\": \"test_user\",\n        \"config_key\": \"test_key\",\n        \"config_value\": \"test_value\"\n    }\n\n    result = insert_config(insert_data)\n\n    assert result is True\n    session.add.assert_called_once()\n    session.commit.assert_called_once()\n\n\ndef test_insert_config_failure(monkeypatch, mock_session):\n    \"\"\"Test inserting config with database error\"\"\"\n    session, _ = mock_session\n    session.add = MagicMock()\n    session.commit = MagicMock(side_effect=MockSQLAlchemyError(\"Insert failed\"))\n    session.rollback = MagicMock()\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.tenant_config_db.get_db_session\", lambda: mock_ctx)\n\n    insert_data = {\n        \"tenant_id\": \"test_tenant\",\n        \"user_id\": \"test_user\",\n        \"config_key\": \"test_key\",\n        \"config_value\": \"test_value\"\n    }\n\n    result = insert_config(insert_data)\n\n    assert result is False\n    session.rollback.assert_called_once()\n\n\ndef test_delete_config_by_tenant_config_id_success(monkeypatch, mock_session):\n    \"\"\"Test successfully deleting config by tenant config ID\"\"\"\n    session, query = mock_session\n\n    mock_update = MagicMock()\n    mock_update.return_value = 1  # 1 row affected\n    mock_filter = MagicMock()\n    mock_filter.update = mock_update\n    query.filter.return_value = mock_filter\n\n    session.commit = MagicMock()\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.tenant_config_db.get_db_session\", lambda: mock_ctx)\n\n    result = delete_config_by_tenant_config_id(123)\n\n    assert result is True\n    session.commit.assert_called_once()\n\n\ndef test_delete_config_by_tenant_config_id_failure(monkeypatch, mock_session):\n    \"\"\"Test deleting config by tenant config ID with database error\"\"\"\n    session, query = mock_session\n\n    mock_filter = MagicMock()\n    mock_filter.update = MagicMock(side_effect=MockSQLAlchemyError(\"Delete failed\"))\n    query.filter.return_value = mock_filter\n\n    session.rollback = MagicMock()\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.tenant_config_db.get_db_session\", lambda: mock_ctx)\n\n    result = delete_config_by_tenant_config_id(123)\n\n    assert result is False\n    session.rollback.assert_called_once()\n\n\ndef test_delete_config_success(monkeypatch, mock_session):\n    \"\"\"Test successfully deleting config\"\"\"\n    session, query = mock_session\n\n    mock_update = MagicMock()\n    mock_update.return_value = 1  # 1 row affected\n    mock_filter = MagicMock()\n    mock_filter.update = mock_update\n    query.filter.return_value = mock_filter\n\n    session.commit = MagicMock()\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.tenant_config_db.get_db_session\", lambda: mock_ctx)\n\n    result = delete_config(\"test_tenant\", \"test_user\", \"test_key\", \"test_value\")\n\n    assert result is True\n    session.commit.assert_called_once()\n\n\ndef test_delete_config_failure(monkeypatch, mock_session):\n    \"\"\"Test deleting config with database error\"\"\"\n    session, query = mock_session\n\n    mock_filter = MagicMock()\n    mock_filter.update = MagicMock(side_effect=MockSQLAlchemyError(\"Delete failed\"))\n    query.filter.return_value = mock_filter\n\n    session.rollback = MagicMock()\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.tenant_config_db.get_db_session\", lambda: mock_ctx)\n\n    result = delete_config(\"test_tenant\", \"test_user\", \"test_key\", \"test_value\")\n\n    assert result is False\n    session.rollback.assert_called_once()\n\n\ndef test_update_config_by_tenant_config_id_success(monkeypatch, mock_session):\n    \"\"\"Test successfully updating config by tenant config ID\"\"\"\n    session, query = mock_session\n\n    mock_update = MagicMock()\n    mock_update.return_value = 1  # 1 row affected\n    mock_filter = MagicMock()\n    mock_filter.update = mock_update\n    query.filter.return_value = mock_filter\n\n    session.commit = MagicMock()\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.tenant_config_db.get_db_session\", lambda: mock_ctx)\n\n    result = update_config_by_tenant_config_id(123, \"new_value\")\n\n    assert result is True\n    session.commit.assert_called_once()\n\n\ndef test_update_config_by_tenant_config_id_failure(monkeypatch, mock_session):\n    \"\"\"Test updating config by tenant config ID with database error\"\"\"\n    session, query = mock_session\n\n    mock_filter = MagicMock()\n    mock_filter.update = MagicMock(side_effect=MockSQLAlchemyError(\"Update failed\"))\n    query.filter.return_value = mock_filter\n\n    session.rollback = MagicMock()\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.tenant_config_db.get_db_session\", lambda: mock_ctx)\n\n    result = update_config_by_tenant_config_id(123, \"new_value\")\n\n    assert result is False\n    session.rollback.assert_called_once()\n\n\ndef test_update_config_by_tenant_config_id_and_data_success(monkeypatch, mock_session):\n    \"\"\"Test successfully updating config by tenant config ID and data\"\"\"\n    session, query = mock_session\n\n    mock_update = MagicMock()\n    mock_update.return_value = 1  # 1 row affected\n    mock_filter = MagicMock()\n    mock_filter.update = mock_update\n    query.filter.return_value = mock_filter\n\n    session.commit = MagicMock()\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.tenant_config_db.get_db_session\", lambda: mock_ctx)\n\n    update_data = {\"config_value\": \"new_value\", \"updated_by\": \"test_user\"}\n    result = update_config_by_tenant_config_id_and_data(123, update_data)\n\n    assert result is True\n    session.commit.assert_called_once()\n\n\ndef test_update_config_by_tenant_config_id_and_data_failure(monkeypatch, mock_session):\n    \"\"\"Test updating config by tenant config ID and data with database error\"\"\"\n    session, query = mock_session\n\n    mock_filter = MagicMock()\n    mock_filter.update = MagicMock(side_effect=MockSQLAlchemyError(\"Update failed\"))\n    query.filter.return_value = mock_filter\n\n    session.rollback = MagicMock()\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.tenant_config_db.get_db_session\", lambda: mock_ctx)\n\n    update_data = {\"config_value\": \"new_value\", \"updated_by\": \"test_user\"}\n    result = update_config_by_tenant_config_id_and_data(123, update_data)\n\n    assert result is False\n    session.rollback.assert_called_once()\n\n\ndef test_get_all_tenant_ids_success(monkeypatch, mock_session):\n    \"\"\"Test successfully retrieving all tenant IDs\"\"\"\n    session, _ = mock_session\n\n    # Create a mock query chain that returns tenant IDs\n    mock_distinct = MagicMock()\n    mock_distinct.all.return_value = [(\"tenant1\",), (\"tenant2\",), (\"tenant3\",)]\n\n    mock_filter = MagicMock()\n    mock_filter.distinct.return_value = mock_distinct\n\n    mock_specific_query = MagicMock()\n    mock_specific_query.filter.return_value = mock_filter\n\n    def mock_query_func(*args, **kwargs):\n        return mock_specific_query\n\n    session.query = mock_query_func\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.tenant_config_db.get_db_session\", lambda: mock_ctx)\n\n    result = get_all_tenant_ids()\n\n    assert result == []\n\n\ndef test_get_all_tenant_ids_empty(monkeypatch, mock_session):\n    \"\"\"Test retrieving tenant IDs when none exist\"\"\"\n    session, _ = mock_session\n\n    # Create a mock query that returns empty result\n    mock_specific_query = MagicMock()\n    mock_filter = MagicMock()\n    mock_filter.all.return_value = []\n    mock_specific_query.filter.return_value = mock_filter\n\n    def mock_query_func(*args, **kwargs):\n        return mock_specific_query\n\n    session.query = mock_query_func\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.tenant_config_db.get_db_session\", lambda: mock_ctx)\n\n    result = get_all_tenant_ids()\n\n    assert result == []\n\n\ndef test_database_error_handling(monkeypatch, mock_session):\n    \"\"\"Test database error handling across functions\"\"\"\n    session, query = mock_session\n    query.filter.side_effect = MockSQLAlchemyError(\"Database error\")\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.tenant_config_db.get_db_session\", lambda: mock_ctx)\n\n    with pytest.raises(MockSQLAlchemyError, match=\"Database error\"):\n        get_all_configs_by_tenant_id(\"test_tenant\")\n"
  },
  {
    "path": "test/backend/database/test_token_db.py",
    "content": "import sys\nimport os\nsys.path.insert(0, os.path.join(os.path.dirname(__file__), \"../../..\"))\n\nimport pytest\nfrom unittest.mock import MagicMock, patch\n\n\n# First mock the consts module to avoid ModuleNotFoundError\nconsts_mock = MagicMock()\nconsts_mock.const = MagicMock()\nconsts_mock.const.MINIO_ENDPOINT = \"http://localhost:9000\"\nconsts_mock.const.MINIO_ACCESS_KEY = \"test_access_key\"\nconsts_mock.const.MINIO_SECRET_KEY = \"test_secret_key\"\nconsts_mock.const.MINIO_REGION = \"us-east-1\"\nconsts_mock.const.MINIO_DEFAULT_BUCKET = \"test-bucket\"\nconsts_mock.const.POSTGRES_HOST = \"localhost\"\nconsts_mock.const.POSTGRES_USER = \"test_user\"\nconsts_mock.const.NEXENT_POSTGRES_PASSWORD = \"test_password\"\nconsts_mock.const.POSTGRES_DB = \"test_db\"\nconsts_mock.const.POSTGRES_PORT = 5432\nconsts_mock.const.DEFAULT_TENANT_ID = \"default_tenant\"\n\nsys.modules['consts'] = consts_mock\nsys.modules['consts.const'] = consts_mock.const\n\n# Mock database client\nclient_mock = MagicMock()\nclient_mock.MinioClient = MagicMock()\nclient_mock.PostgresClient = MagicMock()\nclient_mock.db_client = MagicMock()\nclient_mock.get_db_session = MagicMock()\nclient_mock.as_dict = MagicMock()\nclient_mock.filter_property = MagicMock()\n\nsys.modules['database.client'] = client_mock\nsys.modules['backend.database.client'] = client_mock\n\n\n# Create mock classes that work with SQLAlchemy query\nclass MockUserTokenInfo:\n    \"\"\"Mock UserTokenInfo for testing.\"\"\"\n    _instances = []\n    \n    def __init__(self, token_id=1, access_key=\"nexent-abc123\", user_id=\"user123\",\n                 delete_flag=\"N\", create_time=None, update_time=None, created_by=None, updated_by=None):\n        self.token_id = token_id\n        self.access_key = access_key\n        self.user_id = user_id\n        self.delete_flag = delete_flag\n        self.create_time = create_time\n        self.update_time = update_time\n        self.created_by = created_by or user_id\n        self.updated_by = updated_by or user_id\n        MockUserTokenInfo._instances.append(self)\n    \n    @property\n    def token_id(self):\n        return self._token_id\n    \n    @token_id.setter\n    def token_id(self, value):\n        self._token_id = value\n    \n    @property\n    def user_id(self):\n        return self._user_id\n    \n    @user_id.setter\n    def user_id(self, value):\n        self._user_id = value\n    \n    @property\n    def access_key(self):\n        return self._access_key\n    \n    @access_key.setter\n    def access_key(self, value):\n        self._access_key = value\n    \n    @property\n    def delete_flag(self):\n        return self._delete_flag\n    \n    @delete_flag.setter\n    def delete_flag(self, value):\n        self._delete_flag = value\n    \n    @property\n    def create_time(self):\n        return self._create_time\n    \n    @create_time.setter\n    def create_time(self, value):\n        self._create_time = value\n    \n    @classmethod\n    def reset(cls):\n        cls._instances = []\n\n\nclass MockUserTokenUsageLog:\n    \"\"\"Mock UserTokenUsageLog for testing.\"\"\"\n    _instances = []\n    \n    def __init__(self, token_usage_id=1, token_id=1, call_function_name=\"run_chat\",\n                 related_id=123, created_by=\"user123\", meta_data=None, create_time=None):\n        self.token_usage_id = token_usage_id\n        self.token_id = token_id\n        self.call_function_name = call_function_name\n        self.related_id = related_id\n        self.created_by = created_by\n        self.meta_data = meta_data\n        self.create_time = create_time\n        MockUserTokenUsageLog._instances.append(self)\n    \n    @classmethod\n    def reset(cls):\n        cls._instances = []\n\n\n# Set class attributes for SQLAlchemy filter operations\nMockUserTokenInfo.token_id = 1\nMockUserTokenInfo.access_key = \"test\"\nMockUserTokenInfo.user_id = \"test\"\nMockUserTokenInfo.delete_flag = \"N\"\n\n# Mock the create_time attribute with a mock that supports .desc()\nclass MockColumn:\n    def desc(self):\n        return \"desc\"\n\nMockUserTokenInfo.create_time = MockColumn()\n\nMockUserTokenUsageLog.token_usage_id = 1\nMockUserTokenUsageLog.token_id = 1\nMockUserTokenUsageLog.call_function_name = \"test\"\nMockUserTokenUsageLog.related_id = 1\nMockUserTokenUsageLog.create_time = MockColumn()\n\ndb_models_mock = MagicMock()\ndb_models_mock.UserTokenInfo = MockUserTokenInfo\ndb_models_mock.UserTokenUsageLog = MockUserTokenUsageLog\nsys.modules['database.db_models'] = db_models_mock\nsys.modules['backend.database.db_models'] = db_models_mock\n\n# Mock exceptions\nexceptions_mock = MagicMock()\nsys.modules['consts.exceptions'] = exceptions_mock\nsys.modules['backend.consts.exceptions'] = exceptions_mock\n\n# Mock sqlalchemy\nsqlalchemy_mock = MagicMock()\nsqlalchemy_mock.exc.SQLAlchemyError = type(\"SQLAlchemyError\", (Exception,), {})\nsys.modules['sqlalchemy'] = sqlalchemy_mock\nsys.modules['sqlalchemy.exc'] = sqlalchemy_mock.exc\n\n\n# Import the module under test\nfrom backend.database import token_db\n\n\nclass MockQuery:\n    \"\"\"Mock query object for testing.\"\"\"\n    def __init__(self, model_class, instances):\n        self._model_class = model_class\n        self._instances = instances\n        self._filters = []\n        self._order_by = None\n\n    def filter(self, *args):\n        self._filters.append(args)\n        return self\n\n    def filter_by(self, **kwargs):\n        self._filters.append(kwargs)\n        return self\n\n    def order_by(self, *args):\n        self._order_by = args\n        return self\n\n    def first(self):\n        # Simple implementation - return first matching instance\n        if not self._instances:\n            return None\n        return self._instances[0] if self._instances else None\n\n    def all(self):\n        return list(self._instances)\n\n\nclass MockSession:\n    \"\"\"Mock database session for testing.\"\"\"\n    def __init__(self):\n        self.added_objects = []\n        MockUserTokenInfo.reset()\n        MockUserTokenUsageLog.reset()\n        self._tokens = []\n        self._usage_logs = []\n\n    def __enter__(self):\n        return self\n\n    def __exit__(self, exc_type, exc_val, exc_tb):\n        pass\n\n    def add(self, obj):\n        self.added_objects.append(obj)\n        if isinstance(obj, MockUserTokenInfo):\n            obj.token_id = len(self._tokens) + 1\n            self._tokens.append(obj)\n        if isinstance(obj, MockUserTokenUsageLog):\n            obj.token_usage_id = len(self._usage_logs) + 1\n            self._usage_logs.append(obj)\n\n    def flush(self):\n        pass\n\n    def query(self, model_class):\n        if model_class == MockUserTokenInfo:\n            return MockQuery(model_class, self._tokens)\n        if model_class == MockUserTokenUsageLog:\n            return MockQuery(model_class, self._usage_logs)\n        return MockQuery(model_class, [])\n\n\n@pytest.fixture\ndef mock_session():\n    \"\"\"Fixture to provide a mock database session.\"\"\"\n    return MockSession()\n\n\n@pytest.fixture\ndef mock_db_session(mock_session):\n    \"\"\"Fixture to mock get_db_session.\"\"\"\n    with patch.object(token_db, 'get_db_session', return_value=mock_session):\n        yield mock_session\n\n\nclass TestGenerateAccessKey:\n    \"\"\"Tests for generate_access_key function.\"\"\"\n\n    def test_generate_access_key_format(self):\n        \"\"\"Test that generated access key has correct format.\"\"\"\n        key = token_db.generate_access_key()\n        assert key.startswith(\"nexent-\")\n        assert len(key) > len(\"nexent-\")\n\n    def test_generate_access_key_unique(self):\n        \"\"\"Test that generated access keys are unique.\"\"\"\n        keys = [token_db.generate_access_key() for _ in range(10)]\n        assert len(set(keys)) == 10\n\n\nclass TestCreateToken:\n    \"\"\"Tests for create_token function.\"\"\"\n\n    def test_create_token_success(self, mock_db_session):\n        \"\"\"Test successful token creation.\"\"\"\n        result = token_db.create_token(\"nexent-test123\", \"user123\")\n\n        assert result[\"token_id\"] is not None\n        assert result[\"access_key\"] == \"nexent-test123\"\n        assert result[\"user_id\"] == \"user123\"\n        assert len(mock_db_session.added_objects) == 1\n\n\nclass TestListTokensByUser:\n    \"\"\"Tests for list_tokens_by_user function.\"\"\"\n\n    def test_list_tokens_by_user_success(self, mock_db_session):\n        \"\"\"Test successful token listing.\"\"\"\n        # Add some tokens\n        token1 = MockUserTokenInfo(token_id=1, access_key=\"nexent-key1\", user_id=\"user123\")\n        token2 = MockUserTokenInfo(token_id=2, access_key=\"nexent-key2\", user_id=\"user123\")\n        mock_db_session._tokens.extend([token1, token2])\n\n        result = token_db.list_tokens_by_user(\"user123\")\n\n        assert len(result) >= 1\n\n    def test_list_tokens_by_user_empty(self, mock_db_session):\n        \"\"\"Test listing tokens when user has none.\"\"\"\n        result = token_db.list_tokens_by_user(\"user_nonexistent\")\n        assert isinstance(result, list)\n\n\nclass TestGetTokenById:\n    \"\"\"Tests for get_token_by_id function.\"\"\"\n\n    def test_get_token_by_id_success(self, mock_db_session):\n        \"\"\"Test successful token retrieval by ID.\"\"\"\n        token = MockUserTokenInfo(token_id=1, access_key=\"nexent-key1\", user_id=\"user123\")\n        mock_db_session._tokens.append(token)\n\n        result = token_db.get_token_by_id(1)\n        assert result is not None\n\n    def test_get_token_by_id_not_found(self, mock_db_session):\n        \"\"\"Test token retrieval with non-existent ID.\"\"\"\n        result = token_db.get_token_by_id(999)\n        assert result is None\n\n\nclass TestGetTokenByAccessKey:\n    \"\"\"Tests for get_token_by_access_key function.\"\"\"\n\n    def test_get_token_by_access_key_success(self, mock_db_session):\n        \"\"\"Test successful token retrieval by access key.\"\"\"\n        token = MockUserTokenInfo(token_id=1, access_key=\"nexent-key1\", user_id=\"user123\", delete_flag=\"N\")\n        mock_db_session._tokens.append(token)\n\n        result = token_db.get_token_by_access_key(\"nexent-key1\")\n        assert result is not None\n        assert result[\"access_key\"] == \"nexent-key1\"\n        assert result[\"user_id\"] == \"user123\"\n\n    def test_get_token_by_access_key_not_found(self, mock_db_session):\n        \"\"\"Test token retrieval with non-existent access key.\"\"\"\n        result = token_db.get_token_by_access_key(\"nexent-nonexistent\")\n        assert result is None\n\n\nclass TestDeleteToken:\n    \"\"\"Tests for delete_token function.\"\"\"\n\n    def test_delete_token_success(self, mock_db_session):\n        \"\"\"Test successful token deletion.\"\"\"\n        token = MockUserTokenInfo(token_id=1, access_key=\"nexent-key1\", user_id=\"user123\", delete_flag=\"N\")\n        mock_db_session._tokens.append(token)\n\n        result = token_db.delete_token(1, \"user123\")\n        assert result is True\n        assert token.delete_flag == \"Y\"\n\n    def test_delete_token_not_found(self, mock_db_session):\n        \"\"\"Test deletion of non-existent token.\"\"\"\n        result = token_db.delete_token(999, \"user123\")\n        assert result is False\n\n\nclass TestLogTokenUsage:\n    \"\"\"Tests for log_token_usage function.\"\"\"\n\n    def test_log_token_usage_success(self, mock_db_session):\n        \"\"\"Test successful token usage logging.\"\"\"\n        result = token_db.log_token_usage(\n            token_id=1,\n            call_function_name=\"run_chat\",\n            related_id=123,\n            created_by=\"user123\",\n            metadata={\"query\": \"test\"}\n        )\n\n        assert result is not None\n        assert len(mock_db_session.added_objects) == 1\n\n    def test_log_token_usage_without_metadata(self, mock_db_session):\n        \"\"\"Test token usage logging without metadata.\"\"\"\n        result = token_db.log_token_usage(\n            token_id=1,\n            call_function_name=\"get_agent_info_list\",\n            related_id=None,\n            created_by=\"user123\"\n        )\n\n        assert result is not None\n\n\nclass TestGetLatestUsageMetadata:\n    \"\"\"Tests for get_latest_usage_metadata function.\"\"\"\n\n    def test_get_latest_usage_metadata_success(self, mock_db_session):\n        \"\"\"Test successful metadata retrieval.\"\"\"\n        usage_log = MockUserTokenUsageLog(\n            token_usage_id=1,\n            token_id=1,\n            call_function_name=\"run_chat\",\n            related_id=123,\n            meta_data={\"query\": \"test query\"}\n        )\n        mock_db_session._usage_logs.append(usage_log)\n\n        result = token_db.get_latest_usage_metadata(1, 123, \"run_chat\")\n        assert result is not None\n        assert result[\"query\"] == \"test query\"\n\n    def test_get_latest_usage_metadata_not_found(self, mock_db_session):\n        \"\"\"Test metadata retrieval with no matching records.\"\"\"\n        result = token_db.get_latest_usage_metadata(999, 999, \"nonexistent\")\n        assert result is None\n"
  },
  {
    "path": "test/backend/database/test_tool_db.py",
    "content": "import sys\nimport pytest\nfrom unittest.mock import patch, MagicMock\n\n# First mock the consts module to avoid ModuleNotFoundError\nconsts_mock = MagicMock()\nconsts_mock.const = MagicMock()\n# Set up required constants in consts.const\nconsts_mock.const.MINIO_ENDPOINT = \"http://localhost:9000\"\nconsts_mock.const.MINIO_ACCESS_KEY = \"test_access_key\"\nconsts_mock.const.MINIO_SECRET_KEY = \"test_secret_key\"\nconsts_mock.const.MINIO_REGION = \"us-east-1\"\nconsts_mock.const.MINIO_DEFAULT_BUCKET = \"test-bucket\"\nconsts_mock.const.POSTGRES_HOST = \"localhost\"\nconsts_mock.const.POSTGRES_USER = \"test_user\"\nconsts_mock.const.NEXENT_POSTGRES_PASSWORD = \"test_password\"\nconsts_mock.const.POSTGRES_DB = \"test_db\"\nconsts_mock.const.POSTGRES_PORT = 5432\nconsts_mock.const.DEFAULT_TENANT_ID = \"default_tenant\"\n\n# Mock consts.model module and ToolSourceEnum\n# Create a mock ToolSourceEnum that supports .value attribute access\n\nclass MockEnumMember:\n    def __init__(self, value):\n        self.value = value\n\n\nclass MockToolSourceEnum:\n    LOCAL = MockEnumMember(\"local\")\n    MCP = MockEnumMember(\"mcp\")\n    LANGCHAIN = MockEnumMember(\"langchain\")\n\n# Create consts.model as a proper module-like object\n\n\nclass MockModelModule:\n    ToolSourceEnum = MockToolSourceEnum\n\n\nconsts_mock.model = MockModelModule()\n\n# Add the mocked consts module to sys.modules\nsys.modules['consts'] = consts_mock\nsys.modules['consts.const'] = consts_mock.const\nsys.modules['consts.model'] = consts_mock.model\n\n# Mock utils module\nutils_mock = MagicMock()\nutils_mock.auth_utils = MagicMock()\nutils_mock.auth_utils.get_current_user_id_from_token = MagicMock(\n    return_value=\"test_user_id\")\n\n# Add the mocked utils module to sys.modules\nsys.modules['utils'] = utils_mock\nsys.modules['utils.auth_utils'] = utils_mock.auth_utils\n\n# Provide a stub for the `boto3` module so that it can be imported safely even\n# if the testing environment does not have it available.\nboto3_mock = MagicMock()\nsys.modules['boto3'] = boto3_mock\n\n# Mock the entire client module\nclient_mock = MagicMock()\nclient_mock.MinioClient = MagicMock()\nclient_mock.PostgresClient = MagicMock()\nclient_mock.db_client = MagicMock()\nclient_mock.get_db_session = MagicMock()\nclient_mock.as_dict = MagicMock()\nclient_mock.filter_property = MagicMock()\n\n# Add the mocked client module to sys.modules\nsys.modules['database.client'] = client_mock\nsys.modules['backend.database.client'] = client_mock\n\n# Mock db_models module\ndb_models_mock = MagicMock()\ndb_models_mock.ToolInstance = MagicMock()\ndb_models_mock.ToolInfo = MagicMock()\n\n# Add the mocked db_models module to sys.modules\nsys.modules['database.db_models'] = db_models_mock\nsys.modules['backend.database.db_models'] = db_models_mock\n\n# Mock agent_db module\nagent_db_mock = MagicMock()\nagent_db_mock.logger = MagicMock()\n\n# Add the mocked agent_db module to sys.modules\nsys.modules['database.agent_db'] = agent_db_mock\nsys.modules['backend.database.agent_db'] = agent_db_mock\n\n# Now we can safely import the module being tested\nfrom backend.database.tool_db import (\n    create_tool,\n    create_or_update_tool_by_tool_info,\n    query_all_tools,\n    query_tool_instances_by_id,\n    query_tool_instances_by_agent_id,\n    query_tools_by_ids,\n    query_all_enabled_tool_instances,\n    update_tool_table_from_scan_tool_list,\n    add_tool_field,\n    search_tools_for_sub_agent,\n    check_tool_is_available,\n    delete_tools_by_agent_id,\n    search_last_tool_instance_by_tool_id,\n    check_tool_list_initialized\n)\n\nclass MockToolInstance:\n    def __init__(self):\n        self.tool_instance_id = 1\n        self.tool_id = 1\n        self.agent_id = 1\n        self.tenant_id = \"tenant1\"\n        self.user_id = \"user1\"\n        self.enabled = True\n        self.delete_flag = \"N\"\n        self.__dict__ = {\n            \"tool_instance_id\": 1,\n            \"tool_id\": 1,\n            \"agent_id\": 1,\n            \"tenant_id\": \"tenant1\",\n            \"user_id\": \"user1\",\n            \"enabled\": True,\n            \"delete_flag\": \"N\"\n        }\n\n\nclass MockToolInfo:\n    def __init__(self):\n        self.tool_id = 1\n        self.name = \"test_tool\"\n        self.description = \"test description\"\n        self.source = \"test_source\"\n        self.author = \"tenant1\"\n        self.is_available = True\n        self.delete_flag = \"N\"\n        self.params = [{\"name\": \"param1\", \"default\": \"value1\"}]\n        self.usage = \"test usage\"\n        self.inputs = \"test inputs\"\n        self.output_type = \"test output\"\n        self.class_name = \"TestTool\"\n        self.__dict__ = {\n            \"tool_id\": 1,\n            \"name\": \"test_tool\",\n            \"description\": \"test description\",\n            \"source\": \"test_source\",\n            \"author\": \"tenant1\",\n            \"is_available\": True,\n            \"delete_flag\": \"N\",\n            \"params\": [{\"name\": \"param1\", \"default\": \"value1\"}],\n            \"usage\": \"test usage\",\n            \"inputs\": \"test inputs\",\n            \"output_type\": \"test output\",\n            \"class_name\": \"TestTool\"\n        }\n\n\n@pytest.fixture\ndef mock_session():\n    \"\"\"Create a mock database session\"\"\"\n    mock_session = MagicMock()\n    mock_query = MagicMock()\n    mock_session.query.return_value = mock_query\n    return mock_session, mock_query\n\n\ndef test_create_tool_success(monkeypatch, mock_session):\n    \"\"\"Test successful tool creation\"\"\"\n    session, query = mock_session\n    session.add = MagicMock()\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.tool_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\n        \"backend.database.tool_db.filter_property\", lambda data, model: data)\n    monkeypatch.setattr(\"backend.database.tool_db.ToolInstance\",\n                        lambda **kwargs: MagicMock())\n\n    tool_info = {\"tool_id\": 1, \"agent_id\": 1, \"tenant_id\": \"tenant1\"}\n    create_tool(tool_info)\n\n    session.add.assert_called_once()\n\n\ndef test_create_or_update_tool_by_tool_info_update_existing(monkeypatch, mock_session):\n    \"\"\"Test updating an existing tool instance\"\"\"\n    session, query = mock_session\n    mock_tool_instance = MockToolInstance()\n\n    mock_first = MagicMock()\n    mock_first.return_value = mock_tool_instance\n    mock_filter = MagicMock()\n    mock_filter.first = mock_first\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.tool_db.get_db_session\", lambda: mock_ctx)\n\n    tool_info = MagicMock()\n    tool_info.__dict__ = {\"agent_id\": 1, \"tool_id\": 1}\n\n    result = create_or_update_tool_by_tool_info(tool_info, \"tenant1\", \"user1\")\n\n    assert result == mock_tool_instance\n\n\ndef test_create_or_update_tool_by_tool_info_create_new(monkeypatch, mock_session):\n    \"\"\"Test creating a new tool instance\"\"\"\n    session, query = mock_session\n    mock_first = MagicMock()\n    mock_first.return_value = None\n    mock_filter = MagicMock()\n    mock_filter.first = mock_first\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.tool_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\n        \"backend.database.tool_db.filter_property\", lambda data, model: data)\n\n    # Mock ToolInstance class - needs to have column attributes for query building\n    mock_tool_instance = MockToolInstance()\n\n    # Create a Mock class that can be used both as a class (for query) and instantiated\n    class MockToolInstanceClass:\n        tenant_id = MagicMock()\n        agent_id = MagicMock()\n        tool_id = MagicMock()\n        delete_flag = MagicMock()\n        version_no = MagicMock()\n\n        def __init__(self, **kwargs):\n            # Copy attributes from mock_tool_instance\n            for key, value in mock_tool_instance.__dict__.items():\n                setattr(self, key, value)\n            # Update with any kwargs passed\n            for key, value in kwargs.items():\n                setattr(self, key, value)\n\n    monkeypatch.setattr(\n        \"backend.database.tool_db.ToolInstance\", MockToolInstanceClass)\n\n    session.add = MagicMock()\n    session.flush = MagicMock()\n\n    tool_info = MagicMock()\n    tool_info.__dict__ = {\"agent_id\": 1, \"tool_id\": 1}\n\n    result = create_or_update_tool_by_tool_info(tool_info, \"tenant1\", \"user1\")\n\n    assert isinstance(result, MockToolInstanceClass)\n    session.add.assert_called_once()\n    session.flush.assert_called_once()\n\n\n\ndef test_query_all_tools(monkeypatch, mock_session):\n    \"\"\"Test querying all tools\"\"\"\n    session, query = mock_session\n    mock_tool_info = MockToolInfo()\n\n    mock_all = MagicMock()\n    mock_all.return_value = [mock_tool_info]\n    mock_filter = MagicMock()\n    mock_filter.all = mock_all\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.tool_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\"backend.database.tool_db.as_dict\",\n                        lambda obj: obj.__dict__)\n\n    result = query_all_tools(\"tenant1\")\n\n    assert len(result) == 1\n    assert result[0][\"tool_id\"] == 1\n    assert result[0][\"name\"] == \"test_tool\"\n\n\ndef test_query_tool_instances_by_id_found(monkeypatch, mock_session):\n    \"\"\"Test successfully querying tool instances\"\"\"\n    session, query = mock_session\n    mock_tool_instance = MockToolInstance()\n\n    mock_first = MagicMock()\n    mock_first.return_value = mock_tool_instance\n    mock_filter = MagicMock()\n    mock_filter.first = mock_first\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.tool_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\"backend.database.tool_db.as_dict\",\n                        lambda obj: obj.__dict__)\n\n    result = query_tool_instances_by_id(1, 1, \"tenant1\")\n\n    assert result[\"tool_instance_id\"] == 1\n    assert result[\"tool_id\"] == 1\n\n\ndef test_query_tool_instances_by_id_not_found(monkeypatch, mock_session):\n    \"\"\"Test querying non-existent tool instances\"\"\"\n    session, query = mock_session\n    mock_first = MagicMock()\n    mock_first.return_value = None\n    mock_filter = MagicMock()\n    mock_filter.first = mock_first\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.tool_db.get_db_session\", lambda: mock_ctx)\n\n    result = query_tool_instances_by_id(1, 1, \"tenant1\")\n\n    assert result is None\n\n\ndef test_query_tools_by_ids(monkeypatch, mock_session):\n    \"\"\"Test querying tools by ID list\"\"\"\n    session, query = mock_session\n    mock_tool_info = MockToolInfo()\n\n    mock_all = MagicMock()\n    mock_all.return_value = [mock_tool_info]\n    mock_filter2 = MagicMock()\n    mock_filter2.all = mock_all\n    mock_filter1 = MagicMock()\n    mock_filter1.filter.return_value = mock_filter2\n    query.filter.return_value = mock_filter1\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.tool_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\"backend.database.tool_db.as_dict\",\n                        lambda obj: obj.__dict__)\n\n    result = query_tools_by_ids([1, 2])\n\n    assert len(result) == 1\n    assert result[0][\"tool_id\"] == 1\n\n\ndef test_query_all_enabled_tool_instances(monkeypatch, mock_session):\n    \"\"\"Test querying all enabled tool instances\"\"\"\n    session, query = mock_session\n    mock_tool_instance = MockToolInstance()\n\n    mock_all = MagicMock()\n    mock_all.return_value = [mock_tool_instance]\n    mock_filter = MagicMock()\n    mock_filter.all = mock_all\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.tool_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\"backend.database.tool_db.as_dict\",\n                        lambda obj: obj.__dict__)\n\n    result = query_all_enabled_tool_instances(1, \"tenant1\")\n\n    assert len(result) == 1\n    assert result[0][\"tool_instance_id\"] == 1\n\n\ndef test_update_tool_table_from_scan_tool_list_success(monkeypatch, mock_session):\n    \"\"\"Test successfully updating tool table\"\"\"\n    session, query = mock_session\n    mock_tool_info = MockToolInfo()\n\n    mock_all = MagicMock()\n    mock_all.return_value = [mock_tool_info]\n    mock_filter = MagicMock()\n    mock_filter.all = mock_all\n    query.filter.return_value = mock_filter\n\n    session.add = MagicMock()\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.tool_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\n        \"backend.database.tool_db.filter_property\", lambda data, model: data)\n\n    # Create a mock for ToolInfo class with properly accessible attributes\n    mock_tool_info_class = MagicMock()\n    mock_tool_info_class.delete_flag = \"N\"\n    mock_tool_info_class.author = \"tenant1\"\n    mock_tool_info_class.name = \"test_tool\"\n    mock_tool_info_class.source = \"test_source\"\n    monkeypatch.setattr(\"backend.database.tool_db.ToolInfo\",\n                        mock_tool_info_class)\n\n    tool_list = [MockToolInfo()]\n    update_tool_table_from_scan_tool_list(\"tenant1\", \"user1\", tool_list)\n\n    # Function executes successfully without throwing exceptions\n\n\ndef test_update_tool_table_from_scan_tool_list_create_new_tool(monkeypatch, mock_session):\n    \"\"\"Test creating new tool when tool doesn't exist in database\"\"\"\n    session, query = mock_session\n\n    # Mock existing tools with different name&source combination\n    existing_tool = MockToolInfo()\n    existing_tool.name = \"existing_tool\"\n    existing_tool.source = \"existing_source\"\n\n    mock_all = MagicMock()\n    mock_all.return_value = [existing_tool]\n    mock_filter = MagicMock()\n    mock_filter.all = mock_all\n    query.filter.return_value = mock_filter\n\n    session.add = MagicMock()\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.tool_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\n        \"backend.database.tool_db.filter_property\", lambda data, model: data)\n\n    # Create a mock for ToolInfo class constructor\n    mock_tool_info_instance = MagicMock()\n    mock_tool_info_class = MagicMock(return_value=mock_tool_info_instance)\n    monkeypatch.setattr(\"backend.database.tool_db.ToolInfo\",\n                        mock_tool_info_class)\n\n    # Create a new tool with different name&source that doesn't exist in database\n    new_tool = MockToolInfo()\n    new_tool.name = \"new_tool\"\n    new_tool.source = \"new_source\"\n    tool_list = [new_tool]\n\n    update_tool_table_from_scan_tool_list(\"tenant1\", \"user1\", tool_list)\n\n    # Verify that session.add was called to add the new tool\n    session.add.assert_called_once_with(mock_tool_info_instance)\n    # Verify that ToolInfo constructor was called with correct parameters\n    expected_call_args = new_tool.__dict__.copy()\n    expected_call_args.update({\n        \"created_by\": \"user1\",\n        \"updated_by\": \"user1\",\n        \"author\": \"tenant1\",\n        \"is_available\": True\n    })\n    mock_tool_info_class.assert_called_once_with(**expected_call_args)\n\n\ndef test_update_tool_table_from_scan_tool_list_create_new_tool_invalid_name(monkeypatch, mock_session):\n    \"\"\"Test creating new tool with invalid name (is_available=False)\"\"\"\n    session, query = mock_session\n\n    # Mock existing tools with different name&source combination\n    existing_tool = MockToolInfo()\n    existing_tool.name = \"existing_tool\"\n    existing_tool.source = \"existing_source\"\n\n    mock_all = MagicMock()\n    mock_all.return_value = [existing_tool]\n    mock_filter = MagicMock()\n    mock_filter.all = mock_all\n    query.filter.return_value = mock_filter\n\n    session.add = MagicMock()\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.tool_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\n        \"backend.database.tool_db.filter_property\", lambda data, model: data)\n\n    # Create a mock for ToolInfo class constructor\n    mock_tool_info_instance = MagicMock()\n    mock_tool_info_class = MagicMock(return_value=mock_tool_info_instance)\n    monkeypatch.setattr(\"backend.database.tool_db.ToolInfo\",\n                        mock_tool_info_class)\n\n    # Create a new tool with invalid name (contains special characters)\n    new_tool = MockToolInfo()\n    new_tool.name = \"invalid-tool-name!\"  # Contains dash and exclamation mark\n    new_tool.source = \"new_source\"\n    tool_list = [new_tool]\n\n    update_tool_table_from_scan_tool_list(\"tenant1\", \"user1\", tool_list)\n\n    # Verify that session.add was called to add the new tool\n    session.add.assert_called_once_with(mock_tool_info_instance)\n    # Verify that ToolInfo constructor was called with is_available=False for invalid name\n    expected_call_args = new_tool.__dict__.copy()\n    expected_call_args.update({\n        \"created_by\": \"user1\",\n        \"updated_by\": \"user1\",\n        \"author\": \"tenant1\",\n        \"is_available\": False  # Should be False for invalid tool name\n    })\n    mock_tool_info_class.assert_called_once_with(**expected_call_args)\n\n\ndef test_update_tool_table_mcp_tools_same_name_different_usage(monkeypatch, mock_session):\n    \"\"\"Test MCP tools with same name but different usage (MCP server) should be treated as different tools\"\"\"\n    session, query = mock_session\n\n    # Mock existing tools - one MCP tool from server1\n    existing_tool = MockToolInfo()\n    existing_tool.name = \"get_tickets\"\n    existing_tool.source = \"mcp\"\n    existing_tool.usage = \"mcp_server_1\"\n\n    mock_all = MagicMock()\n    mock_all.return_value = [existing_tool]\n    mock_filter = MagicMock()\n    mock_filter.all = mock_all\n    query.filter.return_value = mock_filter\n\n    session.add = MagicMock()\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.tool_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\n        \"backend.database.tool_db.filter_property\", lambda data, model: data)\n\n    # Create a mock for ToolInfo class constructor\n    mock_tool_info_instance = MagicMock()\n    mock_tool_info_class = MagicMock(return_value=mock_tool_info_instance)\n    monkeypatch.setattr(\"backend.database.tool_db.ToolInfo\",\n                        mock_tool_info_class)\n\n    # Create a new MCP tool with same name but different usage (different MCP server)\n    new_tool = MockToolInfo()\n    new_tool.name = \"get_tickets\"\n    new_tool.source = \"mcp\"\n    new_tool.usage = \"mcp_server_2\"  # Different MCP server\n    tool_list = [new_tool]\n\n    update_tool_table_from_scan_tool_list(\"tenant1\", \"user1\", tool_list)\n\n    # Verify that session.add was called to add the new tool (different usage = different tool)\n    session.add.assert_called_once_with(mock_tool_info_instance)\n    # Verify that ToolInfo constructor was called with correct parameters\n    expected_call_args = new_tool.__dict__.copy()\n    expected_call_args.update({\n        \"created_by\": \"user1\",\n        \"updated_by\": \"user1\",\n        \"author\": \"tenant1\",\n        \"is_available\": True\n    })\n    mock_tool_info_class.assert_called_once_with(**expected_call_args)\n\n\ndef test_update_tool_table_mcp_tools_same_name_same_usage(monkeypatch, mock_session):\n    \"\"\"Test MCP tools with same name and same usage should update existing tool\"\"\"\n    session, query = mock_session\n\n    # Mock existing MCP tool\n    existing_tool = MockToolInfo()\n    existing_tool.name = \"get_tickets\"\n    existing_tool.source = \"mcp\"\n    existing_tool.usage = \"mcp_server_1\"\n    existing_tool.description = \"old description\"\n    existing_tool.is_available = True\n\n    mock_all = MagicMock()\n    mock_all.return_value = [existing_tool]\n    mock_filter = MagicMock()\n    mock_filter.all = mock_all\n    query.filter.return_value = mock_filter\n\n    session.add = MagicMock()\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.tool_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\n        \"backend.database.tool_db.filter_property\", lambda data, model: data)\n\n    # Create a new MCP tool with same name and same usage (should update existing)\n    new_tool = MockToolInfo()\n    new_tool.name = \"get_tickets\"\n    new_tool.source = \"mcp\"\n    new_tool.usage = \"mcp_server_1\"  # Same MCP server\n    new_tool.description = \"new description\"\n    tool_list = [new_tool]\n\n    update_tool_table_from_scan_tool_list(\"tenant1\", \"user1\", tool_list)\n\n    # Verify that session.add was NOT called (tool should be updated, not created)\n    session.add.assert_not_called()\n    # Verify that existing tool was updated\n    assert existing_tool.description == \"new description\"\n    assert existing_tool.updated_by == \"user1\"\n    assert existing_tool.is_available is True\n\n\ndef test_update_tool_table_mcp_tools_empty_usage(monkeypatch, mock_session):\n    \"\"\"Test MCP tools with empty/null usage should be handled correctly\"\"\"\n    session, query = mock_session\n\n    # Mock existing MCP tool with empty usage\n    existing_tool = MockToolInfo()\n    existing_tool.name = \"get_tickets\"\n    existing_tool.source = \"mcp\"\n    existing_tool.usage = None  # Empty usage\n\n    mock_all = MagicMock()\n    mock_all.return_value = [existing_tool]\n    mock_filter = MagicMock()\n    mock_filter.all = mock_all\n    query.filter.return_value = mock_filter\n\n    session.add = MagicMock()\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.tool_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\n        \"backend.database.tool_db.filter_property\", lambda data, model: data)\n\n    # Create a mock for ToolInfo class constructor\n    mock_tool_info_instance = MagicMock()\n    mock_tool_info_class = MagicMock(return_value=mock_tool_info_instance)\n    monkeypatch.setattr(\"backend.database.tool_db.ToolInfo\",\n                        mock_tool_info_class)\n\n    # Create a new MCP tool with same name and empty usage (should update existing)\n    new_tool = MockToolInfo()\n    new_tool.name = \"get_tickets\"\n    new_tool.source = \"mcp\"\n    new_tool.usage = \"\"  # Empty usage (same as None)\n    tool_list = [new_tool]\n\n    update_tool_table_from_scan_tool_list(\"tenant1\", \"user1\", tool_list)\n\n    # Verify that session.add was NOT called (tool should be updated, not created)\n    session.add.assert_not_called()\n    # Verify that existing tool was updated\n    assert existing_tool.updated_by == \"user1\"\n\n\ndef test_update_tool_table_non_mcp_tools_use_name_source(monkeypatch, mock_session):\n    \"\"\"Test non-MCP tools should still use name&source as unique key\"\"\"\n    session, query = mock_session\n\n    # Mock existing non-MCP tool\n    existing_tool = MockToolInfo()\n    existing_tool.name = \"test_tool\"\n    existing_tool.source = \"local\"\n    existing_tool.usage = \"some_usage\"  # Usage should be ignored for non-MCP tools\n\n    mock_all = MagicMock()\n    mock_all.return_value = [existing_tool]\n    mock_filter = MagicMock()\n    mock_filter.all = mock_all\n    query.filter.return_value = mock_filter\n\n    session.add = MagicMock()\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.tool_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\n        \"backend.database.tool_db.filter_property\", lambda data, model: data)\n\n    # Create a new non-MCP tool with same name and source but different usage\n    new_tool = MockToolInfo()\n    new_tool.name = \"test_tool\"\n    new_tool.source = \"local\"\n    # Different usage, but should still match existing tool\n    new_tool.usage = \"different_usage\"\n    tool_list = [new_tool]\n\n    update_tool_table_from_scan_tool_list(\"tenant1\", \"user1\", tool_list)\n\n    # Verify that session.add was NOT called (tool should be updated, not created)\n    # because non-MCP tools use name&source as unique key, ignoring usage\n    session.add.assert_not_called()\n    # Verify that existing tool was updated\n    assert existing_tool.updated_by == \"user1\"\n\n\ndef test_update_tool_table_mcp_tools_multiple_different_servers(monkeypatch, mock_session):\n    \"\"\"Test multiple MCP tools from different servers with same name should all be created\"\"\"\n    session, query = mock_session\n\n    # Mock existing MCP tool from server1\n    existing_tool = MockToolInfo()\n    existing_tool.name = \"get_tickets\"\n    existing_tool.source = \"mcp\"\n    existing_tool.usage = \"mcp_server_1\"\n\n    mock_all = MagicMock()\n    mock_all.return_value = [existing_tool]\n    mock_filter = MagicMock()\n    mock_filter.all = mock_all\n    query.filter.return_value = mock_filter\n\n    session.add = MagicMock()\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.tool_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\n        \"backend.database.tool_db.filter_property\", lambda data, model: data)\n\n    # Create a mock for ToolInfo class constructor\n    mock_tool_info_instance = MagicMock()\n    mock_tool_info_class = MagicMock(return_value=mock_tool_info_instance)\n    monkeypatch.setattr(\"backend.database.tool_db.ToolInfo\",\n                        mock_tool_info_class)\n\n    # Create two new MCP tools with same name but different usage (different servers)\n    new_tool1 = MockToolInfo()\n    new_tool1.name = \"get_tickets\"\n    new_tool1.source = \"mcp\"\n    new_tool1.usage = \"mcp_server_2\"  # Different server\n\n    new_tool2 = MockToolInfo()\n    new_tool2.name = \"get_tickets\"\n    new_tool2.source = \"mcp\"\n    new_tool2.usage = \"mcp_server_3\"  # Another different server\n\n    tool_list = [new_tool1, new_tool2]\n\n    update_tool_table_from_scan_tool_list(\"tenant1\", \"user1\", tool_list)\n\n    # Verify that session.add was called twice (one for each new tool)\n    assert session.add.call_count == 2\n\n\ndef test_update_tool_table_mixed_mcp_and_non_mcp_tools(monkeypatch, mock_session):\n    \"\"\"Test mixed scenario with both MCP and non-MCP tools\"\"\"\n    session, query = mock_session\n\n    # Mock existing tools: one MCP tool and one non-MCP tool\n    existing_mcp_tool = MockToolInfo()\n    existing_mcp_tool.name = \"get_tickets\"\n    existing_mcp_tool.source = \"mcp\"\n    existing_mcp_tool.usage = \"mcp_server_1\"\n\n    existing_local_tool = MockToolInfo()\n    existing_local_tool.name = \"local_tool\"\n    existing_local_tool.source = \"local\"\n    existing_local_tool.usage = \"some_usage\"\n\n    mock_all = MagicMock()\n    mock_all.return_value = [existing_mcp_tool, existing_local_tool]\n    mock_filter = MagicMock()\n    mock_filter.all = mock_all\n    query.filter.return_value = mock_filter\n\n    session.add = MagicMock()\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.tool_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\n        \"backend.database.tool_db.filter_property\", lambda data, model: data)\n\n    # Create a mock for ToolInfo class constructor\n    mock_tool_info_instance = MagicMock()\n    mock_tool_info_class = MagicMock(return_value=mock_tool_info_instance)\n    monkeypatch.setattr(\"backend.database.tool_db.ToolInfo\",\n                        mock_tool_info_class)\n\n    # Create tools: update existing MCP tool, update existing local tool, create new MCP tool\n    update_mcp_tool = MockToolInfo()\n    update_mcp_tool.name = \"get_tickets\"\n    update_mcp_tool.source = \"mcp\"\n    update_mcp_tool.usage = \"mcp_server_1\"  # Same as existing, should update\n\n    update_local_tool = MockToolInfo()\n    update_local_tool.name = \"local_tool\"\n    update_local_tool.source = \"local\"  # Same as existing, should update\n\n    new_mcp_tool = MockToolInfo()\n    new_mcp_tool.name = \"get_tickets\"\n    new_mcp_tool.source = \"mcp\"\n    new_mcp_tool.usage = \"mcp_server_2\"  # Different server, should create\n\n    tool_list = [update_mcp_tool, update_local_tool, new_mcp_tool]\n\n    update_tool_table_from_scan_tool_list(\"tenant1\", \"user1\", tool_list)\n\n    # Verify that session.add was called once (only for the new MCP tool)\n    assert session.add.call_count == 1\n    # Verify that existing tools were updated\n    assert existing_mcp_tool.updated_by == \"user1\"\n    assert existing_local_tool.updated_by == \"user1\"\n\n\ndef test_update_tool_table_mcp_tool_update_existing_attributes(monkeypatch, mock_session):\n    \"\"\"Test that updating existing MCP tool properly updates all attributes\"\"\"\n    session, query = mock_session\n\n    # Mock existing MCP tool\n    existing_tool = MockToolInfo()\n    existing_tool.name = \"get_tickets\"\n    existing_tool.source = \"mcp\"\n    existing_tool.usage = \"mcp_server_1\"\n    existing_tool.description = \"old description\"\n    existing_tool.params = [{\"name\": \"old_param\"}]\n    existing_tool.is_available = True\n\n    mock_all = MagicMock()\n    mock_all.return_value = [existing_tool]\n    mock_filter = MagicMock()\n    mock_filter.all = mock_all\n    query.filter.return_value = mock_filter\n\n    session.add = MagicMock()\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.tool_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\n        \"backend.database.tool_db.filter_property\", lambda data, model: data)\n\n    # Create updated MCP tool with same name and usage\n    updated_tool = MockToolInfo()\n    updated_tool.name = \"get_tickets\"\n    updated_tool.source = \"mcp\"\n    updated_tool.usage = \"mcp_server_1\"\n    updated_tool.description = \"new description\"\n    updated_tool.params = [{\"name\": \"new_param\"}]\n    tool_list = [updated_tool]\n\n    update_tool_table_from_scan_tool_list(\"tenant1\", \"user1\", tool_list)\n\n    # Verify that session.add was NOT called (tool should be updated, not created)\n    session.add.assert_not_called()\n    # Verify that existing tool attributes were updated\n    assert existing_tool.description == \"new description\"\n    assert existing_tool.params == [{\"name\": \"new_param\"}]\n    assert existing_tool.updated_by == \"user1\"\n    assert existing_tool.is_available is True\n\n\ndef test_update_tool_table_existing_tools_set_unavailable(monkeypatch, mock_session):\n    \"\"\"Test that all existing tools are set to unavailable before processing tool list\"\"\"\n    session, query = mock_session\n\n    # Mock multiple existing tools\n    existing_tool1 = MockToolInfo()\n    existing_tool1.name = \"tool1\"\n    existing_tool1.source = \"local\"\n    existing_tool1.is_available = True\n\n    existing_tool2 = MockToolInfo()\n    existing_tool2.name = \"get_tickets\"\n    existing_tool2.source = \"mcp\"\n    existing_tool2.usage = \"mcp_server_1\"\n    existing_tool2.is_available = True\n\n    mock_all = MagicMock()\n    mock_all.return_value = [existing_tool1, existing_tool2]\n    mock_filter = MagicMock()\n    mock_filter.all = mock_all\n    query.filter.return_value = mock_filter\n\n    session.add = MagicMock()\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.tool_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\n        \"backend.database.tool_db.filter_property\", lambda data, model: data)\n\n    # Create a mock for ToolInfo class constructor\n    mock_tool_info_instance = MagicMock()\n    mock_tool_info_class = MagicMock(return_value=mock_tool_info_instance)\n    monkeypatch.setattr(\"backend.database.tool_db.ToolInfo\",\n                        mock_tool_info_class)\n\n    # Create tool list with only one tool (tool2 will be updated, tool1 will remain unavailable)\n    updated_tool = MockToolInfo()\n    updated_tool.name = \"get_tickets\"\n    updated_tool.source = \"mcp\"\n    updated_tool.usage = \"mcp_server_1\"\n    tool_list = [updated_tool]\n\n    update_tool_table_from_scan_tool_list(\"tenant1\", \"user1\", tool_list)\n\n    # Verify that existing_tool1 is set to unavailable (not in tool_list)\n    assert existing_tool1.is_available is False\n    # Verify that existing_tool2 is set to available (updated from tool_list)\n    assert existing_tool2.is_available is True\n\n\ndef test_update_tool_table_mcp_tool_invalid_name(monkeypatch, mock_session):\n    \"\"\"Test MCP tool with invalid name should set is_available=False\"\"\"\n    session, query = mock_session\n\n    # Mock existing tools\n    existing_tool = MockToolInfo()\n    existing_tool.name = \"existing_tool\"\n    existing_tool.source = \"local\"\n\n    mock_all = MagicMock()\n    mock_all.return_value = [existing_tool]\n    mock_filter = MagicMock()\n    mock_filter.all = mock_all\n    query.filter.return_value = mock_filter\n\n    session.add = MagicMock()\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.tool_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\n        \"backend.database.tool_db.filter_property\", lambda data, model: data)\n\n    # Create a mock for ToolInfo class constructor\n    mock_tool_info_instance = MagicMock()\n    mock_tool_info_class = MagicMock(return_value=mock_tool_info_instance)\n    monkeypatch.setattr(\"backend.database.tool_db.ToolInfo\",\n                        mock_tool_info_class)\n\n    # Create a new MCP tool with invalid name (contains special characters)\n    new_tool = MockToolInfo()\n    new_tool.name = \"invalid-tool-name!\"  # Contains dash and exclamation mark\n    new_tool.source = \"mcp\"\n    new_tool.usage = \"mcp_server_1\"\n    tool_list = [new_tool]\n\n    update_tool_table_from_scan_tool_list(\"tenant1\", \"user1\", tool_list)\n\n    # Verify that session.add was called to add the new tool\n    session.add.assert_called_once_with(mock_tool_info_instance)\n    # Verify that ToolInfo constructor was called with is_available=False for invalid name\n    expected_call_args = new_tool.__dict__.copy()\n    expected_call_args.update({\n        \"created_by\": \"user1\",\n        \"updated_by\": \"user1\",\n        \"author\": \"tenant1\",\n        \"is_available\": False  # Should be False for invalid tool name\n    })\n    mock_tool_info_class.assert_called_once_with(**expected_call_args)\n\n\ndef test_add_tool_field(monkeypatch, mock_session):\n    \"\"\"Test adding tool field\"\"\"\n    session, query = mock_session\n    mock_tool_info = MockToolInfo()\n\n    mock_first = MagicMock()\n    mock_first.return_value = mock_tool_info\n    mock_filter = MagicMock()\n    mock_filter.first = mock_first\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.tool_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\"backend.database.tool_db.as_dict\",\n                        lambda obj: obj.__dict__)\n\n    tool_info = {\"tool_id\": 1, \"params\": {\"param1\": \"value1\"}}\n    result = add_tool_field(tool_info)\n\n    assert result[\"name\"] == \"test_tool\"\n    assert result[\"description\"] == \"test description\"\n    assert result[\"source\"] == \"test_source\"\n\n\ndef test_search_tools_for_sub_agent(monkeypatch, mock_session):\n    \"\"\"Test searching tools for sub-agent\"\"\"\n    session, query = mock_session\n    mock_tool_instance = MockToolInstance()\n\n    mock_all = MagicMock()\n    mock_all.return_value = [mock_tool_instance]\n    mock_filter = MagicMock()\n    mock_filter.all = mock_all\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.tool_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\"backend.database.tool_db.as_dict\",\n                        lambda obj: obj.__dict__)\n    monkeypatch.setattr(\n        \"backend.database.tool_db.add_tool_field\", lambda data: data)\n\n    result = search_tools_for_sub_agent(1, \"tenant1\")\n\n    assert len(result) == 1\n    assert result[0][\"tool_instance_id\"] == 1\n\n\ndef test_check_tool_is_available(monkeypatch, mock_session):\n    \"\"\"Test checking if tool is available\"\"\"\n    session, query = mock_session\n    mock_tool_info = MockToolInfo()\n\n    # Directly set the return value of query.filter().all()\n    mock_all = MagicMock()\n    mock_all.return_value = [mock_tool_info]\n    query.filter.return_value.all = mock_all\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.tool_db.get_db_session\", lambda: mock_ctx)\n\n    result = check_tool_is_available([1, 2])\n\n    assert result == [True]\n\n\ndef test_delete_tools_by_agent_id_success(monkeypatch, mock_session):\n    \"\"\"Test successfully deleting agent's tools\"\"\"\n    session, query = mock_session\n    mock_update = MagicMock()\n    mock_filter = MagicMock()\n    mock_filter.update = mock_update\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.tool_db.get_db_session\", lambda: mock_ctx)\n\n    # Function returns no value, only verify successful execution\n    delete_tools_by_agent_id(1, \"tenant1\", \"user1\")\n\n    mock_update.assert_called_once()\n\n\ndef test_search_last_tool_instance_by_tool_id_found(monkeypatch, mock_session):\n    \"\"\"Test successfully finding last tool instance by tool ID\"\"\"\n    session, query = mock_session\n    mock_tool_instance = MockToolInstance()\n    mock_tool_instance.params = {\"param1\": \"value1\", \"param2\": \"value2\"}\n    mock_tool_instance.update_time = \"2023-01-01 12:00:00\"\n\n    mock_first = MagicMock()\n    mock_first.return_value = mock_tool_instance\n    mock_order_by = MagicMock()\n    mock_order_by.first = mock_first\n    mock_filter = MagicMock()\n    mock_filter.order_by.return_value = mock_order_by\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.tool_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\"backend.database.tool_db.as_dict\",\n                        lambda obj: obj.__dict__)\n\n    result = search_last_tool_instance_by_tool_id(1, \"tenant1\", \"user1\")\n\n    assert result[\"tool_instance_id\"] == 1\n    assert result[\"tool_id\"] == 1\n    assert result[\"params\"] == {\"param1\": \"value1\", \"param2\": \"value2\"}\n\n\ndef test_search_last_tool_instance_by_tool_id_not_found(monkeypatch, mock_session):\n    \"\"\"Test searching for non-existent last tool instance\"\"\"\n    session, query = mock_session\n    mock_first = MagicMock()\n    mock_first.return_value = None\n    mock_order_by = MagicMock()\n    mock_order_by.first = mock_first\n    mock_filter = MagicMock()\n    mock_filter.order_by.return_value = mock_order_by\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.tool_db.get_db_session\", lambda: mock_ctx)\n\n    result = search_last_tool_instance_by_tool_id(999, \"tenant1\", \"user1\")\n\n    assert result is None\n\n\ndef test_search_last_tool_instance_by_tool_id_with_deleted_flag(monkeypatch, mock_session):\n    \"\"\"Test searching for tool instance with deleted flag filter\"\"\"\n    session, query = mock_session\n    mock_tool_instance = MockToolInstance()\n    mock_tool_instance.delete_flag = \"N\"\n\n    mock_first = MagicMock()\n    mock_first.return_value = mock_tool_instance\n    mock_order_by = MagicMock()\n    mock_order_by.first = mock_first\n    mock_filter = MagicMock()\n    mock_filter.order_by.return_value = mock_order_by\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.tool_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\"backend.database.tool_db.as_dict\",\n                        lambda obj: obj.__dict__)\n\n    result = search_last_tool_instance_by_tool_id(1, \"tenant1\", \"user1\")\n\n    assert result[\"delete_flag\"] == \"N\"\n    # Verify that the filter was called with correct parameters\n    assert query.filter.call_count == 1\n\n\ndef test_search_last_tool_instance_by_tool_id_ordering(monkeypatch, mock_session):\n    \"\"\"Test that results are ordered by update_time desc\"\"\"\n    session, query = mock_session\n    mock_tool_instance = MockToolInstance()\n\n    mock_first = MagicMock()\n    mock_first.return_value = mock_tool_instance\n    mock_order_by = MagicMock()\n    mock_order_by.first = mock_first\n    mock_filter = MagicMock()\n    mock_filter.order_by.return_value = mock_order_by\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.tool_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\"backend.database.tool_db.as_dict\",\n                        lambda obj: obj.__dict__)\n\n    result = search_last_tool_instance_by_tool_id(1, \"tenant1\", \"user1\")\n\n    # Verify that order_by was called (indicating proper ordering)\n    mock_filter.order_by.assert_called_once()\n    assert result is not None\n\n\ndef test_search_last_tool_instance_by_tool_id_different_tenants(monkeypatch, mock_session):\n    \"\"\"Test searching with different tenant and user IDs\"\"\"\n    session, query = mock_session\n    mock_tool_instance = MockToolInstance()\n    mock_tool_instance.tenant_id = \"tenant2\"\n    mock_tool_instance.user_id = \"user2\"\n\n    mock_first = MagicMock()\n    mock_first.return_value = mock_tool_instance\n    mock_order_by = MagicMock()\n    mock_order_by.first = mock_first\n    mock_filter = MagicMock()\n    mock_filter.order_by.return_value = mock_order_by\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.tool_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\"backend.database.tool_db.as_dict\",\n                        lambda obj: obj.__dict__)\n\n    result = search_last_tool_instance_by_tool_id(1, \"tenant2\", \"user2\")\n\n    assert result[\"tenant_id\"] == \"tenant2\"\n\n\ndef test_query_tool_instances_by_agent_id(monkeypatch, mock_session):\n    \"\"\"Test querying all tool instances for an agent\"\"\"\n    session, query = mock_session\n    mock_tool_instance1 = MockToolInstance()\n    mock_tool_instance1.tool_id = 1\n    mock_tool_instance2 = MockToolInstance()\n    mock_tool_instance2.tool_id = 2\n\n    mock_all = MagicMock()\n    mock_all.return_value = [mock_tool_instance1, mock_tool_instance2]\n    query.all = mock_all\n    # Set up filter chain: query.filter(...).all()\n    query.filter.return_value.all = mock_all\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.tool_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\"backend.database.tool_db.as_dict\",\n                        lambda obj: obj.__dict__)\n\n    result = query_tool_instances_by_agent_id(agent_id=1, tenant_id=\"tenant1\")\n\n    assert len(result) == 2\n    assert result[0][\"tool_id\"] == 1\n    assert result[1][\"tool_id\"] == 2\n\n\ndef test_query_tool_instances_by_agent_id_empty(monkeypatch, mock_session):\n    \"\"\"Test querying tool instances when agent has no instances\"\"\"\n    session, query = mock_session\n\n    mock_all = MagicMock()\n    mock_all.return_value = []\n    query.all = mock_all\n    query.filter.return_value.all = mock_all\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.tool_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\"backend.database.tool_db.as_dict\",\n                        lambda obj: obj.__dict__)\n\n    result = query_tool_instances_by_agent_id(agent_id=1, tenant_id=\"tenant1\")\n\n    assert result == []\n\n\ndef test_query_tool_instances_by_agent_id_with_version(monkeypatch, mock_session):\n    \"\"\"Test querying tool instances with specific version number\"\"\"\n    session, query = mock_session\n    mock_tool_instance = MockToolInstance()\n    mock_tool_instance.tool_id = 1\n\n    mock_all = MagicMock()\n    mock_all.return_value = [mock_tool_instance]\n    query.all = mock_all\n    query.filter.return_value.all = mock_all\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.tool_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\"backend.database.tool_db.as_dict\",\n                        lambda obj: obj.__dict__)\n\n    result = query_tool_instances_by_agent_id(\n        agent_id=1, tenant_id=\"tenant1\", version_no=2)\n\n    assert len(result) == 1\n    assert result[0][\"tool_id\"] == 1\n\n\ndef test_check_tool_list_initialized_has_tools(monkeypatch, mock_session):\n    \"\"\"Test check_tool_list_initialized returns True when tools exist\"\"\"\n    session, query = mock_session\n\n    # Mock count to return > 0 (tools exist)\n    mock_count = MagicMock()\n    mock_count.return_value = 5\n    query.filter.return_value.count = mock_count\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.tool_db.get_db_session\", lambda: mock_ctx)\n\n    result = check_tool_list_initialized(\"tenant1\")\n\n    assert result is True\n    mock_count.assert_called_once()\n\n\ndef test_check_tool_list_initialized_no_tools(monkeypatch, mock_session):\n    \"\"\"Test check_tool_list_initialized returns False when no tools exist\"\"\"\n    session, query = mock_session\n\n    # Mock count to return 0 (no tools exist)\n    mock_count = MagicMock()\n    mock_count.return_value = 0\n    query.filter.return_value.count = mock_count\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.tool_db.get_db_session\", lambda: mock_ctx)\n\n    result = check_tool_list_initialized(\"new_tenant\")\n\n    assert result is False\n    mock_count.assert_called_once()\n\n\ndef test_check_tool_list_initialized_with_deleted_tools_only(monkeypatch, mock_session):\n    \"\"\"Test check_tool_list_initialized returns False when only deleted tools exist\"\"\"\n    session, query = mock_session\n\n    # Mock count to return 0 because deleted tools are filtered out\n    mock_count = MagicMock()\n    mock_count.return_value = 0\n    query.filter.return_value.count = mock_count\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.tool_db.get_db_session\", lambda: mock_ctx)\n\n    result = check_tool_list_initialized(\"tenant_with_only_deleted_tools\")\n\n    assert result is False\n    mock_count.assert_called_once()\n\n\ndef test_check_tool_list_initialized_correct_tenant_filter(monkeypatch, mock_session):\n    \"\"\"Test check_tool_list_initialized uses correct tenant filter\"\"\"\n    session, query = mock_session\n\n    mock_count = MagicMock()\n    mock_count.return_value = 1\n    query.filter.return_value.count = mock_count\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.tool_db.get_db_session\", lambda: mock_ctx)\n\n    target_tenant = \"specific_tenant_id\"\n    check_tool_list_initialized(target_tenant)\n\n    # Verify that filter was called with correct tenant\n    filter_call_args = query.filter.call_args[0]\n    # Check that ToolInfo.author == target_tenant is in the filter conditions\n    from backend.database.db_models import ToolInfo\n    assert (ToolInfo.delete_flag != 'Y') in filter_call_args\n"
  },
  {
    "path": "test/backend/database/test_user_tenant_db.py",
    "content": "import sys\nimport os\nsys.path.insert(0, os.path.join(os.path.dirname(__file__), \"../../..\"))\n\nimport pytest\nfrom unittest.mock import MagicMock\n\n# First mock the consts module to avoid ModuleNotFoundError\nconsts_mock = MagicMock()\nconsts_mock.const = MagicMock()\n# Set constants needed in consts.const\nconsts_mock.const.MINIO_ENDPOINT = \"http://localhost:9000\"\nconsts_mock.const.MINIO_ACCESS_KEY = \"test_access_key\"\nconsts_mock.const.MINIO_SECRET_KEY = \"test_secret_key\"\nconsts_mock.const.MINIO_REGION = \"us-east-1\"\nconsts_mock.const.MINIO_DEFAULT_BUCKET = \"test-bucket\"\nconsts_mock.const.POSTGRES_HOST = \"localhost\"\nconsts_mock.const.POSTGRES_USER = \"test_user\"\nconsts_mock.const.NEXENT_POSTGRES_PASSWORD = \"test_password\"\nconsts_mock.const.POSTGRES_DB = \"test_db\"\nconsts_mock.const.POSTGRES_PORT = 5432\nconsts_mock.const.DEFAULT_TENANT_ID = \"default_tenant\"\n\n# Add the mocked consts module to sys.modules\nsys.modules['consts'] = consts_mock\nsys.modules['consts.const'] = consts_mock.const\n\n# Mock utils module\nutils_mock = MagicMock()\nutils_mock.auth_utils = MagicMock()\nutils_mock.auth_utils.get_current_user_id_from_token = MagicMock(return_value=\"test_user_id\")\nutils_mock.str_utils = MagicMock()\nutils_mock.str_utils.convert_list_to_string = MagicMock(\n    side_effect=lambda x: \",\".join(str(i) for i in x) if x else \"\")\n\n# Add the mocked utils module to sys.modules\nsys.modules['utils'] = utils_mock\nsys.modules['utils.auth_utils'] = utils_mock.auth_utils\nsys.modules['utils.str_utils'] = utils_mock.str_utils\n\n# Provide a stub for the `boto3` module so that it can be imported safely even\n# if the testing environment does not have it available.\nboto3_mock = MagicMock()\nsys.modules['boto3'] = boto3_mock\n\n# Mock the entire client module\nclient_mock = MagicMock()\nclient_mock.MinioClient = MagicMock()\nclient_mock.PostgresClient = MagicMock()\nclient_mock.db_client = MagicMock()\nclient_mock.get_db_session = MagicMock()\nclient_mock.as_dict = MagicMock()\nclient_mock.filter_property = MagicMock()\n\n# Add the mocked client module to sys.modules\nsys.modules['database.client'] = client_mock\nsys.modules['backend.database.client'] = client_mock\n\n# Mock db_models module\ndb_models_mock = MagicMock()\ndb_models_mock.UserTenant = MagicMock()\nsys.modules['database.db_models'] = db_models_mock\nsys.modules['backend.database.db_models'] = db_models_mock\n\n# Mock exceptions module\nexceptions_mock = MagicMock()\nsys.modules['consts.exceptions'] = exceptions_mock\nsys.modules['backend.consts.exceptions'] = exceptions_mock\n\n# Mock SQLAlchemy exception for testing\nclass MockSQLAlchemyError(Exception):\n    \"\"\"Mock SQLAlchemy exception for testing database errors\"\"\"\n    pass\n\n# Mock sqlalchemy.exc module\nsqlalchemy_mock = MagicMock()\nsqlalchemy_mock.exc.SQLAlchemyError = MockSQLAlchemyError\nsys.modules['sqlalchemy'] = sqlalchemy_mock\nsys.modules['sqlalchemy.exc'] = sqlalchemy_mock.exc\n\n# Now import the functions to be tested\nfrom backend.database.user_tenant_db import (\n    get_user_tenant_by_user_id,\n    get_all_tenant_ids,\n    insert_user_tenant,\n    get_users_by_tenant_id,\n    update_user_tenant_role,\n    soft_delete_user_tenant_by_user_id,\n    soft_delete_users_by_tenant_id,\n)\n\nclass MockUserTenant:\n    def __init__(self, user_id=\"test_user_id\", user_email=\"test@example.com\", user_role=\"USER\"):\n        self.user_id = user_id\n        self.tenant_id = \"test_tenant_id\"\n        self.user_email = user_email\n        self.user_role = user_role\n        self.delete_flag = \"N\"\n        self.created_by = user_id\n        self.updated_by = user_id\n        self.create_time = \"2024-01-01 00:00:00\"\n        self.update_time = \"2024-01-01 00:00:00\"\n        self.__dict__ = {\n            \"user_id\": user_id,\n            \"tenant_id\": \"test_tenant_id\",\n            \"user_email\": user_email,\n            \"user_role\": user_role,\n            \"delete_flag\": \"N\",\n            \"created_by\": user_id,\n            \"updated_by\": user_id,\n            \"create_time\": \"2024-01-01 00:00:00\",\n            \"update_time\": \"2024-01-01 00:00:00\"\n        }\n\n@pytest.fixture\ndef mock_session():\n    \"\"\"Create mock database session\"\"\"\n    mock_session = MagicMock()\n    mock_query = MagicMock()\n    mock_session.query.return_value = mock_query\n    return mock_session, mock_query\n\ndef test_get_user_tenant_by_user_id_success(monkeypatch, mock_session):\n    \"\"\"Test successful retrieval of user tenant relationship by user ID\"\"\"\n    session, query = mock_session\n    mock_user_tenant = MockUserTenant()\n\n    mock_first = MagicMock()\n    mock_first.return_value = mock_user_tenant\n    mock_filter = MagicMock()\n    mock_filter.first = mock_first\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.user_tenant_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\"backend.database.user_tenant_db.as_dict\", lambda obj: obj.__dict__)\n\n    result = get_user_tenant_by_user_id(\"test_user_id\")\n\n    assert result is not None\n    assert result[\"user_id\"] == \"test_user_id\"\n    assert result[\"tenant_id\"] == \"test_tenant_id\"\n    assert result[\"user_role\"] == \"USER\"\n    assert result[\"delete_flag\"] == \"N\"\n\ndef test_get_user_tenant_by_user_id_not_found(monkeypatch, mock_session):\n    \"\"\"Test retrieval of user tenant relationship when record does not exist\"\"\"\n    session, query = mock_session\n\n    mock_first = MagicMock()\n    mock_first.return_value = None\n    mock_filter = MagicMock()\n    mock_filter.first = mock_first\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.user_tenant_db.get_db_session\", lambda: mock_ctx)\n\n    result = get_user_tenant_by_user_id(\"nonexistent_user_id\")\n\n    assert result is None\n\ndef test_get_user_tenant_by_user_id_database_error(monkeypatch, mock_session):\n    \"\"\"Test database error when retrieving user tenant relationship - exception should propagate\"\"\"\n    from sqlalchemy.exc import SQLAlchemyError\n\n    session, query = mock_session\n    query.filter.side_effect = SQLAlchemyError(\"Database error\")\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.user_tenant_db.get_db_session\", lambda: mock_ctx)\n\n    # Should raise SQLAlchemyError\n    with pytest.raises(SQLAlchemyError):\n        get_user_tenant_by_user_id(\"test_user_id\")\n\ndef test_insert_user_tenant_success(monkeypatch, mock_session):\n    \"\"\"Test successful insertion of user tenant relationship\"\"\"\n    session, _ = mock_session\n    session.add = MagicMock()\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.user_tenant_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\"backend.database.user_tenant_db.UserTenant\", lambda **kwargs: MagicMock())\n\n    # Should not raise any exception\n    insert_user_tenant(\"test_user_id\", \"test_tenant_id\")\n\n    session.add.assert_called_once()\n\ndef test_insert_user_tenant_failure(monkeypatch, mock_session):\n    \"\"\"Test failure of user tenant relationship insertion - exception should propagate\"\"\"\n    from sqlalchemy.exc import SQLAlchemyError\n\n    session, _ = mock_session\n    session.add = MagicMock(side_effect=SQLAlchemyError(\"Database error\"))\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.user_tenant_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\"backend.database.user_tenant_db.UserTenant\", lambda **kwargs: MagicMock())\n\n    # Should raise SQLAlchemyError\n    with pytest.raises(SQLAlchemyError):\n        insert_user_tenant(\"test_user_id\", \"test_tenant_id\")\n\ndef test_insert_user_tenant_with_empty_user_id(monkeypatch, mock_session):\n    \"\"\"Test insertion of user tenant relationship with empty user ID\"\"\"\n    session, _ = mock_session\n    session.add = MagicMock()\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.user_tenant_db.get_db_session\", lambda: mock_ctx)\n\n    # Mock UserTenant constructor to capture the arguments\n    mock_user_tenant_instance = MagicMock()\n    mock_user_tenant_constructor = MagicMock(return_value=mock_user_tenant_instance)\n    monkeypatch.setattr(\"backend.database.user_tenant_db.UserTenant\", mock_user_tenant_constructor)\n\n    # Should not raise any exception\n    insert_user_tenant(\"\", \"test_tenant_id\")\n\n    # Verify UserTenant was called with correct parameters\n    mock_user_tenant_constructor.assert_called_once_with(\n        user_id=\"\",\n        tenant_id=\"test_tenant_id\",\n        user_role=\"USER\",\n        user_email=None,\n        created_by=\"\",\n        updated_by=\"\"\n    )\n    session.add.assert_called_once_with(mock_user_tenant_instance)\n\n\ndef test_insert_user_tenant_with_empty_tenant_id(monkeypatch, mock_session):\n    \"\"\"Test insertion of user tenant relationship with empty tenant ID\"\"\"\n    session, _ = mock_session\n    session.add = MagicMock()\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.user_tenant_db.get_db_session\", lambda: mock_ctx)\n\n    # Mock UserTenant constructor to capture the arguments\n    mock_user_tenant_instance = MagicMock()\n    mock_user_tenant_constructor = MagicMock(return_value=mock_user_tenant_instance)\n    monkeypatch.setattr(\"backend.database.user_tenant_db.UserTenant\", mock_user_tenant_constructor)\n\n    # Should not raise any exception\n    insert_user_tenant(\"test_user_id\", \"\")\n\n    # Verify UserTenant was called with correct parameters\n    mock_user_tenant_constructor.assert_called_once_with(\n        user_id=\"test_user_id\",\n        tenant_id=\"\",\n        user_role=\"USER\",\n        user_email=None,\n        created_by=\"test_user_id\",\n        updated_by=\"test_user_id\"\n    )\n    session.add.assert_called_once_with(mock_user_tenant_instance)\n\n# Integration test\ndef test_user_tenant_lifecycle(monkeypatch, mock_session):\n    \"\"\"Test complete user tenant lifecycle: insert and then retrieve\"\"\"\n    session, query = mock_session\n\n    # Mock database operations for insertion\n    session.add = MagicMock()\n\n    # Mock database operations for retrieval\n    mock_user_tenant = MockUserTenant()\n    mock_first = MagicMock()\n    mock_first.return_value = mock_user_tenant\n    mock_filter = MagicMock()\n    mock_filter.first = mock_first\n    query.filter.return_value = mock_filter\n\n    # Create a proper mock UserTenant class with attributes\n    mock_user_tenant_class = MagicMock()\n    mock_user_tenant_class.user_id = MagicMock()\n    mock_user_tenant_class.delete_flag = MagicMock()\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.user_tenant_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\"backend.database.user_tenant_db.UserTenant\", mock_user_tenant_class)\n    monkeypatch.setattr(\"backend.database.user_tenant_db.as_dict\", lambda obj: obj.__dict__)\n\n    # 1. Insert user tenant relationship - should not raise exception\n    insert_user_tenant(\"test_user_id\", \"test_tenant_id\")\n    session.add.assert_called_once()\n\n    # 2. Retrieve user tenant relationship\n    result = get_user_tenant_by_user_id(\"test_user_id\")\n    assert result is not None\n    assert result[\"user_id\"] == \"test_user_id\"\n    assert result[\"tenant_id\"] == \"test_tenant_id\"\n    assert result[\"user_role\"] == \"USER\"\n    assert result[\"delete_flag\"] == \"N\"\n\ndef test_get_user_tenant_by_user_id_with_deleted_record(monkeypatch, mock_session):\n    \"\"\"Test retrieval of user tenant relationship when record is marked as deleted\"\"\"\n    session, query = mock_session\n\n    # Mock a deleted record (should not be returned)\n    mock_first = MagicMock()\n    mock_first.return_value = None  # Filter should exclude deleted records\n    mock_filter = MagicMock()\n    mock_filter.first = mock_first\n    query.filter.return_value = mock_filter\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.user_tenant_db.get_db_session\", lambda: mock_ctx)\n\n    result = get_user_tenant_by_user_id(\"deleted_user_id\")\n\n    assert result is None\n    # Verify that the filter was called with correct conditions\n    query.filter.assert_called_once()\n\n\ndef test_get_all_tenant_ids_empty_database(monkeypatch, mock_session):\n    \"\"\"Test get_all_tenant_ids when database is empty - should return only DEFAULT_TENANT_ID\"\"\"\n    session, query = mock_session\n\n    # Mock empty database result\n    query.filter.return_value.distinct.return_value.all.return_value = []\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.user_tenant_db.get_db_session\", lambda: mock_ctx)\n\n    result = get_all_tenant_ids()\n\n    assert result == [\"default_tenant\"]  # DEFAULT_TENANT_ID from consts_mock\n    assert len(result) == 1\n\n\ndef test_get_all_tenant_ids_with_existing_tenants(monkeypatch, mock_session):\n    \"\"\"Test get_all_tenant_ids with existing tenants - should include all plus DEFAULT_TENANT_ID\"\"\"\n    session, query = mock_session\n\n    # Mock database result with existing tenants\n    mock_tenants = [\n        (\"tenant_1\",),\n        (\"tenant_2\",),\n        (\"tenant_3\",)\n    ]\n    query.filter.return_value.distinct.return_value.all.return_value = mock_tenants\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.user_tenant_db.get_db_session\", lambda: mock_ctx)\n\n    result = get_all_tenant_ids()\n\n    assert len(result) == 4  # 3 existing + 1 default\n    assert \"tenant_1\" in result\n    assert \"tenant_2\" in result\n    assert \"tenant_3\" in result\n    assert \"default_tenant\" in result  # DEFAULT_TENANT_ID from consts_mock\n    # Should not duplicate DEFAULT_TENANT_ID\n    assert result.count(\"default_tenant\") == 1\n\n\ndef test_soft_delete_user_tenant_by_user_id_success(monkeypatch, mock_session):\n    \"\"\"Test soft deletion updates rows for the given user\"\"\"\n    session, _ = mock_session\n\n    # Setup query filter().update() chain\n    mock_query = MagicMock()\n    mock_query.filter.return_value.update.return_value = 2\n    session.query.return_value = mock_query\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.user_tenant_db.get_db_session\", lambda: mock_ctx)\n\n    ok = soft_delete_user_tenant_by_user_id(\"user123\", \"actor1\")\n    assert ok is True\n    mock_query.filter.assert_called_once()\n    mock_query.filter.return_value.update.assert_called_once()\n\n\ndef test_soft_delete_user_tenant_by_user_id_no_rows(monkeypatch, mock_session):\n    \"\"\"Test soft deletion when no rows match\"\"\"\n    session, _ = mock_session\n    mock_query = MagicMock()\n    mock_query.filter.return_value.update.return_value = 0\n    session.query.return_value = mock_query\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.user_tenant_db.get_db_session\", lambda: mock_ctx)\n\n    ok = soft_delete_user_tenant_by_user_id(\"none\", \"test_user\")\n    assert ok is False\n\n\ndef test_get_users_by_tenant_id_success_with_pagination(monkeypatch, mock_session):\n    \"\"\"Test successfully getting users by tenant ID with pagination\"\"\"\n    session, query = mock_session\n\n    # Mock the pagination query result\n    mock_paginated_results = [\n        MockUserTenant(user_id=\"user1\", user_email=\"user1@example.com\", user_role=\"ADMIN\"),\n        MockUserTenant(user_id=\"user2\", user_email=\"user2@example.com\", user_role=\"USER\"),\n    ]\n\n    # Create mock objects outside the function so they can be accessed in assertions\n    mock_paginated_filter = MagicMock()\n    mock_paginated_order_by = MagicMock()\n    mock_paginated_offset = MagicMock()\n    mock_paginated_limit = MagicMock()\n    mock_paginated_limit.all.return_value = mock_paginated_results\n    mock_paginated_offset.limit.return_value = mock_paginated_limit\n    mock_paginated_order_by.offset.return_value = mock_paginated_offset\n    mock_paginated_filter.order_by.return_value = mock_paginated_order_by\n\n    # Mock session.query to return different objects for different calls\n    call_count = 0\n    def mock_query(*args, **kwargs):\n        nonlocal call_count\n        call_count += 1\n        if call_count == 1:  # First call for count\n            mock_q = MagicMock()\n            mock_count_filter = MagicMock()\n            mock_count_filter.count.return_value = 5\n            mock_q.filter.return_value = mock_count_filter\n            return mock_q\n        else:  # Second call for paginated results\n            mock_q = MagicMock()\n            mock_q.filter.return_value = mock_paginated_filter\n            return mock_q\n\n    session.query = mock_query\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.user_tenant_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\"backend.database.user_tenant_db.as_dict\", lambda obj: obj.__dict__)\n\n    result = get_users_by_tenant_id(\"test_tenant\", page=2, page_size=10, sort_by=\"created_at\", sort_order=\"desc\")\n\n    assert result[\"total\"] == 5\n    assert len(result[\"users\"]) == 2\n    assert result[\"users\"][0][\"user_id\"] == \"user1\"\n    assert result[\"users\"][0][\"user_email\"] == \"user1@example.com\"\n    assert result[\"users\"][0][\"user_role\"] == \"ADMIN\"\n    assert result[\"users\"][1][\"user_id\"] == \"user2\"\n    assert result[\"users\"][1][\"user_email\"] == \"user2@example.com\"\n    assert result[\"users\"][1][\"user_role\"] == \"USER\"\n    # Verify pagination was applied\n    mock_paginated_order_by.offset.assert_called_once_with(10)  # (page-1) * page_size = (2-1) * 10 = 10\n    mock_paginated_offset.limit.assert_called_once_with(10)\n\n\ndef test_get_users_by_tenant_id_success_without_pagination(monkeypatch, mock_session):\n    \"\"\"Test successfully getting users by tenant ID without pagination (returns all data)\"\"\"\n    session, query = mock_session\n\n    # Mock the query result (all users)\n    mock_all_results = [\n        MockUserTenant(user_id=\"user1\", user_email=\"user1@example.com\", user_role=\"ADMIN\"),\n        MockUserTenant(user_id=\"user2\", user_email=\"user2@example.com\", user_role=\"USER\"),\n        MockUserTenant(user_id=\"user3\", user_email=\"user3@example.com\", user_role=\"USER\"),\n    ]\n\n    # Create mock objects outside the function so they can be accessed in assertions\n    mock_filter = MagicMock()\n    mock_order_by = MagicMock()\n    mock_order_by.all.return_value = mock_all_results\n    mock_filter.order_by.return_value = mock_order_by\n\n    # Mock session.query to return different objects for different calls\n    call_count = 0\n    def mock_query(*args, **kwargs):\n        nonlocal call_count\n        call_count += 1\n        if call_count == 1:  # First call for count\n            mock_q = MagicMock()\n            mock_count_filter = MagicMock()\n            mock_count_filter.count.return_value = 3\n            mock_q.filter.return_value = mock_count_filter\n            return mock_q\n        else:  # Second call for all results\n            mock_q = MagicMock()\n            mock_q.filter.return_value = mock_filter\n            return mock_q\n\n    session.query = mock_query\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.user_tenant_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\"backend.database.user_tenant_db.as_dict\", lambda obj: obj.__dict__)\n\n    result = get_users_by_tenant_id(\"test_tenant\", page=None, page_size=None)\n\n    assert result[\"total\"] == 3\n    assert len(result[\"users\"]) == 3\n    assert result[\"users\"][0][\"user_id\"] == \"user1\"\n    assert result[\"users\"][1][\"user_id\"] == \"user2\"\n    assert result[\"users\"][2][\"user_id\"] == \"user3\"\n    # Verify .all() was called (no pagination)\n    mock_order_by.all.assert_called_once()\n\n\ndef test_get_users_by_tenant_id_with_asc_sort(monkeypatch, mock_session):\n    \"\"\"Test getting users by tenant ID with ascending sort order\"\"\"\n    session, query = mock_session\n\n    mock_paginated_results = [\n        MockUserTenant(user_id=\"user1\", user_email=\"user1@example.com\", user_role=\"ADMIN\")\n    ]\n\n    # Create mock objects outside the function so they can be accessed in assertions\n    mock_paginated_filter = MagicMock()\n    mock_paginated_order_by = MagicMock()\n    mock_paginated_offset = MagicMock()\n    mock_paginated_limit = MagicMock()\n    mock_paginated_limit.all.return_value = mock_paginated_results\n    mock_paginated_offset.limit.return_value = mock_paginated_limit\n    mock_paginated_order_by.offset.return_value = mock_paginated_offset\n    mock_paginated_filter.order_by.return_value = mock_paginated_order_by\n\n    # Mock session.query to return different objects for different calls\n    call_count = 0\n    def mock_query(*args, **kwargs):\n        nonlocal call_count\n        call_count += 1\n        if call_count == 1:  # First call for count\n            mock_q = MagicMock()\n            mock_count_filter = MagicMock()\n            mock_count_filter.count.return_value = 1\n            mock_q.filter.return_value = mock_count_filter\n            return mock_q\n        else:  # Second call for paginated results\n            mock_q = MagicMock()\n            mock_q.filter.return_value = mock_paginated_filter\n            return mock_q\n\n    session.query = mock_query\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.user_tenant_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\"backend.database.user_tenant_db.as_dict\", lambda obj: obj.__dict__)\n\n    result = get_users_by_tenant_id(\"test_tenant\", page=1, page_size=10, sort_by=\"created_at\", sort_order=\"asc\")\n\n    assert result[\"total\"] == 1\n    assert len(result[\"users\"]) == 1\n    # Verify order_by was called with asc\n    mock_paginated_filter.order_by.assert_called_once()\n\n\ndef test_get_users_by_tenant_id_with_only_page_none(monkeypatch, mock_session):\n    \"\"\"Test getting users by tenant ID when page is None but page_size is provided\"\"\"\n    session, query = mock_session\n\n    mock_all_results = [\n        MockUserTenant(user_id=\"user1\", user_email=\"user1@example.com\", user_role=\"ADMIN\")\n    ]\n\n    # Create mock objects outside the function so they can be accessed in assertions\n    mock_filter = MagicMock()\n    mock_order_by = MagicMock()\n    mock_order_by.all.return_value = mock_all_results\n    mock_filter.order_by.return_value = mock_order_by\n\n    # Mock session.query to return different objects for different calls\n    call_count = 0\n    def mock_query(*args, **kwargs):\n        nonlocal call_count\n        call_count += 1\n        if call_count == 1:  # First call for count\n            mock_q = MagicMock()\n            mock_count_filter = MagicMock()\n            mock_count_filter.count.return_value = 1\n            mock_q.filter.return_value = mock_count_filter\n            return mock_q\n        else:  # Second call for all results (no pagination when page is None)\n            mock_q = MagicMock()\n            mock_q.filter.return_value = mock_filter\n            return mock_q\n\n    session.query = mock_query\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.user_tenant_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\"backend.database.user_tenant_db.as_dict\", lambda obj: obj.__dict__)\n\n    result = get_users_by_tenant_id(\"test_tenant\", page=None, page_size=10)\n\n    assert result[\"total\"] == 1\n    assert len(result[\"users\"]) == 1\n    # Verify .all() was called (no pagination when page is None)\n    mock_order_by.all.assert_called_once()\n\n\ndef test_get_users_by_tenant_id_with_only_page_size_none(monkeypatch, mock_session):\n    \"\"\"Test getting users by tenant ID when page_size is None but page is provided\"\"\"\n    session, query = mock_session\n\n    mock_all_results = [\n        MockUserTenant(user_id=\"user1\", user_email=\"user1@example.com\", user_role=\"ADMIN\")\n    ]\n\n    # Create mock objects outside the function so they can be accessed in assertions\n    mock_filter = MagicMock()\n    mock_order_by = MagicMock()\n    mock_order_by.all.return_value = mock_all_results\n    mock_filter.order_by.return_value = mock_order_by\n\n    # Mock session.query to return different objects for different calls\n    call_count = 0\n    def mock_query(*args, **kwargs):\n        nonlocal call_count\n        call_count += 1\n        if call_count == 1:  # First call for count\n            mock_q = MagicMock()\n            mock_count_filter = MagicMock()\n            mock_count_filter.count.return_value = 1\n            mock_q.filter.return_value = mock_count_filter\n            return mock_q\n        else:  # Second call for all results (no pagination when page_size is None)\n            mock_q = MagicMock()\n            mock_q.filter.return_value = mock_filter\n            return mock_q\n\n    session.query = mock_query\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.user_tenant_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\"backend.database.user_tenant_db.as_dict\", lambda obj: obj.__dict__)\n\n    result = get_users_by_tenant_id(\"test_tenant\", page=1, page_size=None)\n\n    assert result[\"total\"] == 1\n    assert len(result[\"users\"]) == 1\n    # Verify .all() was called (no pagination when page_size is None)\n    mock_order_by.all.assert_called_once()\n\n\ndef test_get_users_by_tenant_id_empty_result(monkeypatch, mock_session):\n    \"\"\"Test getting users by tenant ID when no users exist\"\"\"\n    session, query = mock_session\n\n    # Mock count query returning 0\n    mock_count_query = MagicMock()\n    mock_count_query.count.return_value = 0\n    query.filter.return_value = mock_count_query\n\n    # Mock the query chain for results\n    mock_filter = MagicMock()\n    mock_order_by = MagicMock()\n    mock_order_by.all.return_value = []\n    mock_filter.order_by.return_value = mock_order_by\n\n    # Mock session.query to return different objects for different calls\n    call_count = 0\n    def mock_query(*args, **kwargs):\n        nonlocal call_count\n        call_count += 1\n        if call_count == 1:  # First call for count\n            mock_q = MagicMock()\n            mock_q.filter.return_value = mock_count_query\n            return mock_q\n        else:  # Second call for results\n            mock_q = MagicMock()\n            mock_q.filter.return_value = mock_filter\n            return mock_q\n\n    session.query = mock_query\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.user_tenant_db.get_db_session\", lambda: mock_ctx)\n    monkeypatch.setattr(\"backend.database.user_tenant_db.as_dict\", lambda obj: obj.__dict__)\n\n    result = get_users_by_tenant_id(\"empty_tenant\", page=1, page_size=20)\n\n    assert result[\"total\"] == 0\n    assert result[\"users\"] == []\n\n\ndef test_update_user_tenant_role_success(monkeypatch, mock_session):\n    \"\"\"Test successfully updating user tenant role\"\"\"\n    session, query = mock_session\n\n    # Mock update query\n    mock_update_query = MagicMock()\n    mock_update_query.update.return_value = 1  # 1 row affected\n    query.filter.return_value = mock_update_query\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.user_tenant_db.get_db_session\", lambda: mock_ctx)\n\n    result = update_user_tenant_role(\"user123\", \"ADMIN\", \"updater456\")\n\n    assert result is True\n    # Verify the update was called with correct parameters\n    mock_update_query.update.assert_called_once_with({\n        \"user_role\": \"ADMIN\",\n        \"updated_by\": \"updater456\",\n        \"update_time\": \"NOW()\"\n    })\n\n\ndef test_update_user_tenant_role_no_user_found(monkeypatch, mock_session):\n    \"\"\"Test updating user tenant role when user not found\"\"\"\n    session, query = mock_session\n\n    # Mock update query returning 0 (no rows affected)\n    mock_update_query = MagicMock()\n    mock_update_query.update.return_value = 0  # No rows affected\n    query.filter.return_value = mock_update_query\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.user_tenant_db.get_db_session\", lambda: mock_ctx)\n\n    result = update_user_tenant_role(\"nonexistent_user\", \"ADMIN\", \"updater456\")\n\n    assert result is False\n\n\ndef test_update_user_tenant_role_database_error(monkeypatch, mock_session):\n    \"\"\"Test database error handling for update_user_tenant_role\"\"\"\n    session, query = mock_session\n\n    # Mock query.filter to raise an error\n    query.filter.side_effect = MockSQLAlchemyError(\"Database connection failed\")\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\"backend.database.user_tenant_db.get_db_session\", lambda: mock_ctx)\n\n    with pytest.raises(MockSQLAlchemyError, match=\"Database connection failed\"):\n        update_user_tenant_role(\"user123\", \"ADMIN\", \"updater456\")\n\n\ndef test_soft_delete_users_by_tenant_id_success(monkeypatch, mock_session):\n    \"\"\"Test successfully soft deleting all users for a tenant\"\"\"\n    session, _ = mock_session\n\n    # Setup query filter().update() chain\n    mock_query = MagicMock()\n    mock_query.filter.return_value.update.return_value = 5  # 5 users deleted\n    session.query.return_value = mock_query\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.user_tenant_db.get_db_session\", lambda: mock_ctx)\n\n    ok = soft_delete_users_by_tenant_id(\"tenant123\", \"admin_user\")\n    assert ok is True\n    mock_query.filter.assert_called_once()\n    mock_query.filter.return_value.update.assert_called_once()\n\n\ndef test_soft_delete_users_by_tenant_id_no_users(monkeypatch, mock_session):\n    \"\"\"Test soft deleting users when no users exist for the tenant\"\"\"\n    session, _ = mock_session\n    mock_query = MagicMock()\n    mock_query.filter.return_value.update.return_value = 0  # No users deleted\n    session.query.return_value = mock_query\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.user_tenant_db.get_db_session\", lambda: mock_ctx)\n\n    ok = soft_delete_users_by_tenant_id(\"empty_tenant\", \"admin_user\")\n    assert ok is False  # Returns False when no users were deleted\n\n\ndef test_soft_delete_users_by_tenant_id_database_error(monkeypatch, mock_session):\n    \"\"\"Test database error handling for soft_delete_users_by_tenant_id\"\"\"\n    session, query = mock_session\n\n    # Mock query.filter to raise an error\n    query.filter.side_effect = MockSQLAlchemyError(\"Database connection failed\")\n\n    mock_ctx = MagicMock()\n    mock_ctx.__enter__.return_value = session\n    mock_ctx.__exit__.return_value = None\n    monkeypatch.setattr(\n        \"backend.database.user_tenant_db.get_db_session\", lambda: mock_ctx)\n\n    with pytest.raises(MockSQLAlchemyError, match=\"Database connection failed\"):\n        soft_delete_users_by_tenant_id(\"tenant123\", \"admin_user\")\n"
  },
  {
    "path": "test/backend/middleware/test_exception_handler.py",
    "content": "\"\"\"\nUnit tests for Exception Handler Middleware.\n\nTests the ExceptionHandlerMiddleware class and helper functions\nfor centralized error handling in the FastAPI application.\n\"\"\"\nimport atexit\nimport sys\nimport os\n\n# Add backend directory to path for imports BEFORE any module imports\n# From test/backend/middleware/ -> go up 3 levels to project root -> backend/\nbackend_dir = os.path.abspath(os.path.join(\n    os.path.dirname(__file__), \"../../../backend\"))\nif backend_dir not in sys.path:\n    sys.path.insert(0, backend_dir)\n\nimport pytest\nfrom fastapi import Request, HTTPException\nfrom fastapi.responses import Response\nfrom backend.middleware.exception_handler import (\n    ExceptionHandlerMiddleware,\n    _http_status_to_error_code,\n    create_error_response,\n    create_success_response,\n)\nfrom consts.exceptions import AppException\nfrom consts.error_code import ErrorCode\nfrom unittest.mock import patch, MagicMock, AsyncMock, Mock\n\n\n# Apply critical patches before importing any modules\n# This prevents real AWS/MinIO/Elasticsearch calls during import\npatch('botocore.client.BaseClient._make_api_call', return_value={}).start()\n\n# Patch storage factory and MinIO config validation to avoid errors during initialization\n# These patches must be started before any imports that use MinioClient\nstorage_client_mock = MagicMock()\nminio_mock = MagicMock()\nminio_mock._ensure_bucket_exists = MagicMock()\nminio_mock.client = MagicMock()\n\n# Start critical patches first - storage factory and config validation must be patched\n# before any module imports that might trigger MinioClient initialization\ncritical_patches = [\n    # Patch storage factory and MinIO config validation FIRST\n    patch('nexent.storage.storage_client_factory.create_storage_client_from_config',\n          return_value=storage_client_mock),\n    patch('nexent.storage.minio_config.MinIOStorageConfig.validate',\n          lambda self: None),\n    # Mock boto3 client\n    patch('boto3.client', return_value=Mock()),\n    # Mock boto3 resource\n    patch('boto3.resource', return_value=Mock()),\n    # Mock Elasticsearch to prevent connection errors\n    patch('elasticsearch.Elasticsearch', return_value=Mock()),\n]\n\nfor p in critical_patches:\n    p.start()\n\n# Patch MinioClient class to return mock instance when instantiated\n# This prevents real initialization during module import\npatches = [\n    patch('backend.database.client.MinioClient', return_value=minio_mock),\n    patch('database.client.MinioClient', return_value=minio_mock),\n    patch('backend.database.client.minio_client', minio_mock),\n]\n\nfor p in patches:\n    p.start()\n\n# Combine all patches for cleanup\nall_patches = critical_patches + patches\n\n# Now safe to import modules that use database.client\n# After import, we can patch get_db_session if needed\ntry:\n    from backend.database import client as db_client_module\n    # Patch get_db_session after module is imported\n    db_session_patch = patch.object(\n        db_client_module, 'get_db_session', return_value=Mock())\n    db_session_patch.start()\n    all_patches.append(db_session_patch)\nexcept ImportError:\n    # If import fails, try patching the path directly (may trigger import)\n    db_session_patch = patch(\n        'backend.database.client.get_db_session', return_value=Mock())\n    db_session_patch.start()\n    all_patches.append(db_session_patch)\n\n# Now safe to import app modules - AFTER all patches are applied\n# Import exception classes\n\n# Import pytest for test decorators\n\n# Stop all patches at the end of the module\n\n\ndef stop_patches():\n    for p in all_patches:\n        p.stop()\n\n\natexit.register(stop_patches)\n\n\nclass TestHttpStatusToErrorCode:\n    \"\"\"Test class for _http_status_to_error_code function.\"\"\"\n\n    def test_maps_400_to_common_validation_error(self):\n        \"\"\"Test that HTTP 400 maps to COMMON_VALIDATION_ERROR.\"\"\"\n        assert _http_status_to_error_code(400) == ErrorCode.COMMON_VALIDATION_ERROR\n\n    def test_maps_401_to_common_unauthorized(self):\n        \"\"\"Test that HTTP 401 maps to COMMON_UNAUTHORIZED.\"\"\"\n        assert _http_status_to_error_code(401) == ErrorCode.COMMON_UNAUTHORIZED\n\n    def test_maps_403_to_common_forbidden(self):\n        \"\"\"Test that HTTP 403 maps to COMMON_FORBIDDEN.\"\"\"\n        assert _http_status_to_error_code(403) == ErrorCode.COMMON_FORBIDDEN\n\n    def test_maps_404_to_common_resource_not_found(self):\n        \"\"\"Test that HTTP 404 maps to COMMON_RESOURCE_NOT_FOUND.\"\"\"\n        assert _http_status_to_error_code(404) == ErrorCode.COMMON_RESOURCE_NOT_FOUND\n\n    def test_maps_429_to_common_rate_limit_exceeded(self):\n        \"\"\"Test that HTTP 429 maps to COMMON_RATE_LIMIT_EXCEEDED.\"\"\"\n        assert _http_status_to_error_code(429) == ErrorCode.COMMON_RATE_LIMIT_EXCEEDED\n\n    def test_maps_500_to_system_internal_error(self):\n        \"\"\"Test that HTTP 500 maps to SYSTEM_INTERNAL_ERROR.\"\"\"\n        assert _http_status_to_error_code(500) == ErrorCode.SYSTEM_INTERNAL_ERROR\n\n    def test_maps_502_to_system_service_unavailable(self):\n        \"\"\"Test that HTTP 502 maps to SYSTEM_SERVICE_UNAVAILABLE.\"\"\"\n        assert _http_status_to_error_code(502) == ErrorCode.SYSTEM_SERVICE_UNAVAILABLE\n\n    def test_maps_503_to_system_service_unavailable(self):\n        \"\"\"Test that HTTP 503 maps to SYSTEM_SERVICE_UNAVAILABLE.\"\"\"\n        assert _http_status_to_error_code(503) == ErrorCode.SYSTEM_SERVICE_UNAVAILABLE\n\n    def test_unknown_status_returns_system_unknown_error(self):\n        \"\"\"Test that unknown HTTP status codes map to SYSTEM_UNKNOWN_ERROR.\"\"\"\n        assert _http_status_to_error_code(418) == ErrorCode.SYSTEM_UNKNOWN_ERROR\n        assert _http_status_to_error_code(599) == ErrorCode.SYSTEM_UNKNOWN_ERROR\n\n\nclass TestCreateErrorResponse:\n    \"\"\"Test class for create_error_response function.\"\"\"\n\n    def test_create_error_response_default(self):\n        \"\"\"Test creating error response with default values.\"\"\"\n        response = create_error_response(ErrorCode.DIFY_AUTH_ERROR)\n\n        assert response.status_code == 401\n        assert response.body is not None\n\n    def test_create_error_response_custom_message(self):\n        \"\"\"Test creating error response with custom message.\"\"\"\n        custom_message = \"Custom error message\"\n        response = create_error_response(\n            ErrorCode.DIFY_AUTH_ERROR,\n            message=custom_message\n        )\n\n        assert response.status_code == 401\n\n    def test_create_error_response_with_trace_id(self):\n        \"\"\"Test creating error response with trace ID.\"\"\"\n        trace_id = \"test-trace-id-123\"\n        response = create_error_response(\n            ErrorCode.DIFY_AUTH_ERROR,\n            trace_id=trace_id\n        )\n\n        assert response.status_code == 401\n\n    def test_create_error_response_with_details(self):\n        \"\"\"Test creating error response with additional details.\"\"\"\n        details = {\"field\": \"api_key\", \"issue\": \"invalid format\"}\n        response = create_error_response(\n            ErrorCode.DIFY_CONFIG_INVALID,\n            details=details\n        )\n\n        assert response.status_code == 400\n\n    def test_create_error_response_custom_http_status(self):\n        \"\"\"Test creating error response with custom HTTP status.\"\"\"\n        response = create_error_response(\n            ErrorCode.DIFY_SERVICE_ERROR,\n            http_status=502\n        )\n\n        assert response.status_code == 502\n\n    def test_create_error_response_dify_auth_error(self):\n        \"\"\"Test creating error response for DIFY_AUTH_ERROR.\"\"\"\n        response = create_error_response(ErrorCode.DIFY_AUTH_ERROR)\n\n        assert response.status_code == 401\n\n    def test_create_error_response_dify_config_invalid(self):\n        \"\"\"Test creating error response for DIFY_CONFIG_INVALID.\"\"\"\n        response = create_error_response(ErrorCode.DIFY_CONFIG_INVALID)\n\n        assert response.status_code == 400\n\n    def test_create_error_response_dify_rate_limit(self):\n        \"\"\"Test creating error response for DIFY_RATE_LIMIT.\"\"\"\n        response = create_error_response(ErrorCode.DIFY_RATE_LIMIT)\n\n        assert response.status_code == 429\n\n    def test_create_error_response_validation_error(self):\n        \"\"\"Test creating error response for COMMON_VALIDATION_ERROR.\"\"\"\n        response = create_error_response(ErrorCode.COMMON_VALIDATION_ERROR)\n\n        assert response.status_code == 400\n\n    def test_create_error_response_token_expired(self):\n        \"\"\"Test creating error response for COMMON_TOKEN_EXPIRED.\"\"\"\n        response = create_error_response(ErrorCode.COMMON_TOKEN_EXPIRED)\n\n        assert response.status_code == 401\n\n\nclass TestCreateSuccessResponse:\n    \"\"\"Test class for create_success_response function.\"\"\"\n\n    def test_create_success_response_default(self):\n        \"\"\"Test creating success response with default values.\"\"\"\n        response = create_success_response()\n\n        assert response.status_code == 200\n\n    def test_create_success_response_with_data(self):\n        \"\"\"Test creating success response with data.\"\"\"\n        data = {\"key\": \"value\"}\n        response = create_success_response(data=data)\n\n        assert response.status_code == 200\n\n    def test_create_success_response_custom_message(self):\n        \"\"\"Test creating success response with custom message.\"\"\"\n        response = create_success_response(message=\"Operation successful\")\n\n        assert response.status_code == 200\n\n    def test_create_success_response_with_trace_id(self):\n        \"\"\"Test creating success response with trace ID.\"\"\"\n        trace_id = \"test-trace-id-456\"\n        response = create_success_response(trace_id=trace_id)\n\n        assert response.status_code == 200\n\n    def test_create_success_response_all_params(self):\n        \"\"\"Test creating success response with all parameters.\"\"\"\n        data = {\"result\": \"ok\"}\n        message = \"Success\"\n        trace_id = \"trace-789\"\n        response = create_success_response(\n            data=data,\n            message=message,\n            trace_id=trace_id\n        )\n\n        assert response.status_code == 200\n\n\nclass TestExceptionHandlerMiddleware:\n    \"\"\"Test class for ExceptionHandlerMiddleware.\"\"\"\n\n    @pytest.mark.asyncio\n    async def test_dispatch_normal_request(self):\n        \"\"\"Test that normal requests pass through without error.\"\"\"\n        middleware = ExceptionHandlerMiddleware(app=MagicMock())\n\n        mock_request = MagicMock(spec=Request)\n        mock_request.state = MagicMock()\n\n        mock_response = MagicMock(spec=Response)\n        mock_call_next = AsyncMock(return_value=mock_response)\n\n        response = await middleware.dispatch(mock_request, mock_call_next)\n\n        mock_call_next.assert_called_once_with(mock_request)\n        assert response == mock_response\n\n    @pytest.mark.asyncio\n    async def test_dispatch_app_exception(self):\n        \"\"\"Test handling of AppException.\"\"\"\n        middleware = ExceptionHandlerMiddleware(app=MagicMock())\n\n        mock_request = MagicMock(spec=Request)\n        mock_request.state = MagicMock()\n\n        # Simulate AppException being raised\n        app_exception = AppException(\n            ErrorCode.DIFY_AUTH_ERROR,\n            \"Dify authentication failed\"\n        )\n        mock_call_next = AsyncMock(side_effect=app_exception)\n\n        response = await middleware.dispatch(mock_request, mock_call_next)\n\n        assert response.status_code == 401\n\n    @pytest.mark.asyncio\n    async def test_dispatch_http_exception(self):\n        \"\"\"Test handling of FastAPI HTTPException.\"\"\"\n        middleware = ExceptionHandlerMiddleware(app=MagicMock())\n\n        mock_request = MagicMock(spec=Request)\n        mock_request.state = MagicMock()\n\n        # Simulate HTTPException being raised\n        http_exception = HTTPException(status_code=404, detail=\"Not found\")\n        mock_call_next = AsyncMock(side_effect=http_exception)\n\n        response = await middleware.dispatch(mock_request, mock_call_next)\n\n        assert response.status_code == 404\n\n    @pytest.mark.asyncio\n    async def test_dispatch_generic_exception(self):\n        \"\"\"Test handling of generic exceptions.\"\"\"\n        middleware = ExceptionHandlerMiddleware(app=MagicMock())\n\n        mock_request = MagicMock(spec=Request)\n        mock_request.state = MagicMock()\n\n        # Simulate generic exception being raised\n        generic_exception = RuntimeError(\"Something went wrong\")\n        mock_call_next = AsyncMock(side_effect=generic_exception)\n\n        response = await middleware.dispatch(mock_request, mock_call_next)\n\n        # Should return 500 with internal error code\n        assert response.status_code == 500\n\n    @pytest.mark.asyncio\n    async def test_trace_id_generated(self):\n        \"\"\"Test that trace ID is generated for each request.\"\"\"\n        middleware = ExceptionHandlerMiddleware(app=MagicMock())\n\n        mock_request = MagicMock(spec=Request)\n        mock_request.state = MagicMock()\n\n        mock_response = MagicMock(spec=Response)\n        mock_call_next = AsyncMock(return_value=mock_response)\n\n        response = await middleware.dispatch(mock_request, mock_call_next)\n\n        # Verify trace_id was set on request.state\n        assert hasattr(mock_request.state, 'trace_id')\n\n    @pytest.mark.asyncio\n    async def test_app_exception_with_details(self):\n        \"\"\"Test handling of AppException with details.\"\"\"\n        middleware = ExceptionHandlerMiddleware(app=MagicMock())\n\n        mock_request = MagicMock(spec=Request)\n        mock_request.state = MagicMock()\n\n        # AppException with details\n        app_exception = AppException(\n            ErrorCode.DIFY_CONFIG_INVALID,\n            \"Invalid configuration\",\n            details={\"field\": \"api_key\"}\n        )\n        mock_call_next = AsyncMock(side_effect=app_exception)\n\n        response = await middleware.dispatch(mock_request, mock_call_next)\n\n        assert response.status_code == 400\n\n    @pytest.mark.asyncio\n    async def test_different_error_codes_map_to_correct_status(self):\n        \"\"\"Test that different error codes produce correct HTTP status.\"\"\"\n        test_cases = [\n            (ErrorCode.COMMON_TOKEN_EXPIRED, 401),\n            (ErrorCode.COMMON_TOKEN_INVALID, 401),\n            (ErrorCode.COMMON_FORBIDDEN, 403),\n            (ErrorCode.COMMON_RATE_LIMIT_EXCEEDED, 429),\n            (ErrorCode.COMMON_VALIDATION_ERROR, 400),\n            (ErrorCode.FILE_TOO_LARGE, 413),\n        ]\n\n        middleware = ExceptionHandlerMiddleware(app=MagicMock())\n        mock_request = MagicMock(spec=Request)\n        mock_request.state = MagicMock()\n\n        for error_code, expected_status in test_cases:\n            app_exception = AppException(error_code, \"Test error\")\n            mock_call_next = AsyncMock(side_effect=app_exception)\n\n            response = await middleware.dispatch(mock_request, mock_call_next)\n\n            assert response.status_code == expected_status, \\\n                f\"Expected {expected_status} for {error_code}, got {response.status_code}\"\n\n\nclass TestErrorResponseFormat:\n    \"\"\"Test class for error response format.\"\"\"\n\n    def test_error_response_contains_code_as_int(self):\n        \"\"\"Test that error response contains code as integer.\"\"\"\n        response = create_error_response(ErrorCode.DIFY_AUTH_ERROR)\n        # Parse response body\n        import json\n        body = json.loads(response.body)\n        assert \"code\" in body\n        assert body[\"code\"] == \"130204\"\n\n    def test_error_response_contains_message(self):\n        \"\"\"Test that error response contains message.\"\"\"\n        response = create_error_response(ErrorCode.DIFY_AUTH_ERROR, message=\"Custom message\")\n        import json\n        body = json.loads(response.body)\n        assert body[\"message\"] == \"Custom message\"\n\n    def test_error_response_contains_trace_id(self):\n        \"\"\"Test that error response contains trace_id.\"\"\"\n        response = create_error_response(ErrorCode.DIFY_AUTH_ERROR, trace_id=\"test-123\")\n        import json\n        body = json.loads(response.body)\n        assert body[\"trace_id\"] == \"test-123\"\n\n    def test_error_response_contains_details(self):\n        \"\"\"Test that error response contains details.\"\"\"\n        details = {\"field\": \"api_key\", \"reason\": \"invalid\"}\n        response = create_error_response(ErrorCode.DIFY_CONFIG_INVALID, details=details)\n        import json\n        body = json.loads(response.body)\n        assert body[\"details\"] == details\n\n    def test_error_response_details_null_when_not_provided(self):\n        \"\"\"Test that details is null when not provided.\"\"\"\n        response = create_error_response(ErrorCode.DIFY_AUTH_ERROR)\n        import json\n        body = json.loads(response.body)\n        assert body[\"details\"] is None\n\n\nclass TestNewErrorCodes:\n    \"\"\"Test class for new error codes.\"\"\"\n\n    def test_datamate_connection_failed(self):\n        \"\"\"Test DATAMATE_CONNECTION_FAILED error code.\"\"\"\n        assert ErrorCode.DATAMATE_CONNECTION_FAILED.value == \"130101\"\n\n    def test_me_connection_failed(self):\n        \"\"\"Test ME_CONNECTION_FAILED error code.\"\"\"\n        assert ErrorCode.ME_CONNECTION_FAILED.value == \"130301\"\n\n    def test_northbound_request_failed(self):\n        \"\"\"Test NORTHBOUND_REQUEST_FAILED error code.\"\"\"\n        assert ErrorCode.NORTHBOUND_REQUEST_FAILED.value == \"140101\"\n\n    def test_northbound_config_invalid(self):\n        \"\"\"Test NORTHBOUND_CONFIG_INVALID error code.\"\"\"\n        assert ErrorCode.NORTHBOUND_CONFIG_INVALID.value == \"140201\"\n\n    def test_dataprocess_task_failed(self):\n        \"\"\"Test DATAPROCESS_TASK_FAILED error code.\"\"\"\n        assert ErrorCode.DATAPROCESS_TASK_FAILED.value == \"150101\"\n\n    def test_dataprocess_parse_failed(self):\n        \"\"\"Test DATAPROCESS_PARSE_FAILED error code.\"\"\"\n        assert ErrorCode.DATAPROCESS_PARSE_FAILED.value == \"150102\"\n\n    def test_quick_config_invalid(self):\n        \"\"\"Test QUICK_CONFIG_INVALID error code.\"\"\"\n        assert ErrorCode.QUICK_CONFIG_INVALID.value == \"020101\"\n\n    def test_agentspace_agent_not_found(self):\n        \"\"\"Test AGENTSPACE_AGENT_NOT_FOUND error code.\"\"\"\n        assert ErrorCode.AGENTSPACE_AGENT_NOT_FOUND.value == \"030101\"\n\n    def test_knowledge_not_found(self):\n        \"\"\"Test KNOWLEDGE_NOT_FOUND error code.\"\"\"\n        assert ErrorCode.KNOWLEDGE_NOT_FOUND.value == \"060101\"\n\n    def test_memory_not_found(self):\n        \"\"\"Test MEMORY_NOT_FOUND error code.\"\"\"\n        assert ErrorCode.MEMORY_NOT_FOUND.value == \"100101\"\n\n    def test_profile_user_not_found(self):\n        \"\"\"Test PROFILE_USER_NOT_FOUND error code.\"\"\"\n        assert ErrorCode.PROFILE_USER_NOT_FOUND.value == \"110101\"\n\n    def test_tenant_not_found(self):\n        \"\"\"Test TENANT_NOT_FOUND error code.\"\"\"\n        assert ErrorCode.TENANT_NOT_FOUND.value == \"120101\"\n\n    def test_mcp_tool_not_found(self):\n        \"\"\"Test MCP_TOOL_NOT_FOUND error code.\"\"\"\n        assert ErrorCode.MCP_TOOL_NOT_FOUND.value == \"070101\"\n\n    def test_mcp_name_illegal(self):\n        \"\"\"Test MCP_NAME_ILLEGAL error code.\"\"\"\n        assert ErrorCode.MCP_NAME_ILLEGAL.value == \"070301\"\n\n    def test_model_not_found(self):\n        \"\"\"Test MODEL_NOT_FOUND error code.\"\"\"\n        assert ErrorCode.MODEL_NOT_FOUND.value == \"090101\"\n\n\nclass TestAppExceptionToDict:\n    \"\"\"Test class for AppException.to_dict() method.\"\"\"\n\n    def test_to_dict_contains_code(self):\n        \"\"\"Test that to_dict contains code as integer.\"\"\"\n        exc = AppException(ErrorCode.DIFY_AUTH_ERROR, \"Auth failed\")\n        result = exc.to_dict()\n        assert result[\"code\"] == \"130204\"\n\n    def test_to_dict_contains_message(self):\n        \"\"\"Test that to_dict contains message.\"\"\"\n        exc = AppException(ErrorCode.DIFY_AUTH_ERROR, \"Custom message\")\n        result = exc.to_dict()\n        assert result[\"message\"] == \"Custom message\"\n\n    def test_to_dict_contains_details(self):\n        \"\"\"Test that to_dict contains details.\"\"\"\n        exc = AppException(ErrorCode.DIFY_CONFIG_INVALID, \"Invalid\", details={\"key\": \"value\"})\n        result = exc.to_dict()\n        assert result[\"details\"] == {\"key\": \"value\"}\n\n    def test_to_dict_details_null_when_empty(self):\n        \"\"\"Test that details is null when empty dict.\"\"\"\n        exc = AppException(ErrorCode.DIFY_AUTH_ERROR, \"Auth failed\", details={})\n        result = exc.to_dict()\n        assert result[\"details\"] is None\n"
  },
  {
    "path": "test/backend/services/__init__.py",
    "content": "\"\"\"\nUnit tests for services modules\n\"\"\"\n\n# Backend test package\n\nimport os\nimport sys\n\n# Dynamically determine the backend path\ncurrent_dir = os.path.dirname(os.path.abspath(__file__))\nbackend_dir = os.path.abspath(os.path.join(current_dir, \"../../../backend\"))\nsys.path.append(backend_dir)\n"
  },
  {
    "path": "test/backend/services/providers/__init__.py",
    "content": ""
  },
  {
    "path": "test/backend/services/providers/test_base.py",
    "content": "\"\"\"Unit tests for model provider base module.\n\nTests cover error classification utilities and abstract base class.\n\"\"\"\n\nimport pytest\nfrom unittest.mock import MagicMock, AsyncMock, patch\nfrom pytest_mock import MockFixture\n\nfrom backend.services.providers.base import (\n    _create_error_response,\n    _classify_provider_error,\n    AbstractModelProvider,\n)\n\n\nclass TestCreateErrorResponse:\n    \"\"\"Tests for _create_error_response function.\"\"\"\n\n    def test_create_error_response_basic(self):\n        \"\"\"Test basic error response creation.\"\"\"\n        result = _create_error_response(\"test_error\", \"Test error message\")\n        assert result == [{\"_error\": \"test_error\",\n                           \"_message\": \"Test error message\"}]\n\n    def test_create_error_response_with_http_code(self):\n        \"\"\"Test error response creation with HTTP status code.\"\"\"\n        result = _create_error_response(\n            \"authentication_failed\",\n            \"Invalid API key\",\n            401\n        )\n        assert result == [{\n            \"_error\": \"authentication_failed\",\n            \"_message\": \"Invalid API key\",\n            \"_http_code\": 401\n        }]\n\n\nclass TestClassifyProviderError:\n    \"\"\"Tests for _classify_provider_error function.\"\"\"\n\n    def test_classify_401_unauthorized(self):\n        \"\"\"Test classification of 401 Unauthorized error.\"\"\"\n        result = _classify_provider_error(\n            provider_name=\"TestProvider\",\n            status_code=401,\n            error_message=\"Invalid credentials\"\n        )\n        assert result[0][\"_error\"] == \"authentication_failed\"\n        assert result[0][\"_http_code\"] == 401\n\n    def test_classify_403_forbidden(self):\n        \"\"\"Test classification of 403 Forbidden error.\"\"\"\n        result = _classify_provider_error(\n            provider_name=\"TestProvider\",\n            status_code=403,\n            error_message=\"Insufficient permissions\"\n        )\n        assert result[0][\"_error\"] == \"access_forbidden\"\n        assert result[0][\"_http_code\"] == 403\n\n    def test_classify_404_not_found(self):\n        \"\"\"Test classification of 404 Not Found error.\"\"\"\n        result = _classify_provider_error(\n            provider_name=\"TestProvider\",\n            status_code=404,\n            error_message=\"Endpoint not found\"\n        )\n        assert result[0][\"_error\"] == \"endpoint_not_found\"\n        assert result[0][\"_http_code\"] == 404\n\n    def test_classify_400_bad_request(self):\n        \"\"\"Test classification of 400 Bad Request error.\"\"\"\n        result = _classify_provider_error(\n            provider_name=\"TestProvider\",\n            status_code=400,\n            error_message=\"Invalid request\"\n        )\n        assert result[0][\"_error\"] == \"api_error\"\n        assert result[0][\"_http_code\"] == 400\n\n    def test_classify_500_server_error(self):\n        \"\"\"Test classification of 500 Server Error.\"\"\"\n        result = _classify_provider_error(\n            provider_name=\"TestProvider\",\n            status_code=500,\n            error_message=\"Internal server error\"\n        )\n        assert result[0][\"_error\"] == \"server_error\"\n        assert result[0][\"_http_code\"] == 500\n\n    def test_classify_502_bad_gateway(self):\n        \"\"\"Test classification of 502 Bad Gateway.\"\"\"\n        result = _classify_provider_error(\n            provider_name=\"TestProvider\",\n            status_code=502,\n            error_message=\"Bad gateway\"\n        )\n        assert result[0][\"_error\"] == \"server_error\"\n        assert result[0][\"_http_code\"] == 502\n\n    def test_classify_ssl_error(self):\n        \"\"\"Test classification of SSL certificate error via generic exception path.\"\"\"\n        # Test with a generic exception that has SSL in the message\n        mock_exception = Exception(\"SSL certificate verify failed\")\n        result = _classify_provider_error(\n            provider_name=\"TestProvider\",\n            exception=mock_exception\n        )\n        # Falls through to generic exception handling\n        assert result[0][\"_error\"] == \"connection_failed\"\n\n    def test_classify_connection_failed(self):\n        \"\"\"Test classification of connection failed error.\"\"\"\n        # Test with a generic exception that simulates connection failure\n        mock_exception = Exception(\"Connection refused\")\n        result = _classify_provider_error(\n            provider_name=\"TestProvider\",\n            exception=mock_exception\n        )\n        assert result[0][\"_error\"] == \"connection_failed\"\n\n    def test_classify_timeout_error(self):\n        \"\"\"Test classification of timeout error.\"\"\"\n        import aiohttp\n        mock_exception = aiohttp.ServerTimeoutError()\n        result = _classify_provider_error(\n            provider_name=\"TestProvider\",\n            exception=mock_exception\n        )\n        assert result[0][\"_error\"] == \"timeout\"\n\n    def test_classify_server_disconnected_error(self):\n        \"\"\"Test classification of server disconnected error.\"\"\"\n        import aiohttp\n        mock_exception = aiohttp.ServerDisconnectedError(\n            message=\"Server disconnected\")\n        result = _classify_provider_error(\n            provider_name=\"TestProvider\",\n            exception=mock_exception\n        )\n        assert result[0][\"_error\"] == \"connection_failed\"\n\n    def test_classify_content_type_error(self):\n        \"\"\"Test classification of content type error.\"\"\"\n        import aiohttp\n        mock_exception = aiohttp.ContentTypeError(\n            request_info=MagicMock(),\n            history=(),\n            message=\"Unexpected content type\"\n        )\n        result = _classify_provider_error(\n            provider_name=\"TestProvider\",\n            exception=mock_exception\n        )\n        assert result[0][\"_error\"] == \"invalid_response\"\n\n    def test_classify_generic_exception(self):\n        \"\"\"Test classification of generic exception.\"\"\"\n        mock_exception = Exception(\"Some unknown error\")\n        result = _classify_provider_error(\n            provider_name=\"TestProvider\",\n            exception=mock_exception\n        )\n        assert result[0][\"_error\"] == \"connection_failed\"\n\n    def test_classify_client_connector_error_ssl(self):\n        \"\"\"Test classification of aiohttp.ClientConnectorError with SSL error.\"\"\"\n        import aiohttp\n        from unittest.mock import Mock, patch\n\n        # Create a subclass that overrides __str__\n        class MockClientConnectorError(aiohttp.ClientConnectorError):\n            def __init__(self, message):\n                mock_conn_key = Mock()\n                mock_conn_key.ssl = False\n                mock_os_error = Mock()\n                mock_os_error.errno = 1\n                mock_os_error.strerror = message\n                super().__init__(connection_key=mock_conn_key, os_error=mock_os_error)\n                self._message = message\n\n            def __str__(self):\n                return self._message\n\n        mock_exception = MockClientConnectorError(\"SSL certificate verification failed\")\n        result = _classify_provider_error(\n            provider_name=\"TestProvider\",\n            exception=mock_exception\n        )\n        assert result[0][\"_error\"] == \"ssl_error\"\n\n    def test_classify_client_connector_error_certificate_in_message(self):\n        \"\"\"Test classification of aiohttp.ClientConnectorError with certificate in message.\"\"\"\n        import aiohttp\n        from unittest.mock import Mock\n\n        class MockClientConnectorError(aiohttp.ClientConnectorError):\n            def __init__(self, message):\n                mock_conn_key = Mock()\n                mock_conn_key.ssl = False\n                mock_os_error = Mock()\n                mock_os_error.errno = 1\n                mock_os_error.strerror = message\n                super().__init__(connection_key=mock_conn_key, os_error=mock_os_error)\n                self._message = message\n\n            def __str__(self):\n                return self._message\n\n        mock_exception = MockClientConnectorError(\"Certificate has expired\")\n        result = _classify_provider_error(\n            provider_name=\"TestProvider\",\n            exception=mock_exception\n        )\n        assert result[0][\"_error\"] == \"ssl_error\"\n\n    def test_classify_client_connector_error_non_ssl(self):\n        \"\"\"Test classification of aiohttp.ClientConnectorError without SSL error.\"\"\"\n        import aiohttp\n        from unittest.mock import Mock\n\n        class MockClientConnectorError(aiohttp.ClientConnectorError):\n            def __init__(self, message):\n                mock_conn_key = Mock()\n                mock_conn_key.ssl = False\n                mock_os_error = Mock()\n                mock_os_error.errno = 111\n                mock_os_error.strerror = message\n                super().__init__(connection_key=mock_conn_key, os_error=mock_os_error)\n                self._message = message\n\n            def __str__(self):\n                return self._message\n\n        mock_exception = MockClientConnectorError(\"Connection refused\")\n        result = _classify_provider_error(\n            provider_name=\"TestProvider\",\n            exception=mock_exception\n        )\n        assert result[0][\"_error\"] == \"connection_failed\"\n\n    def test_classify_429_too_many_requests(self):\n        \"\"\"Test classification of 429 Too Many Requests error.\"\"\"\n        result = _classify_provider_error(\n            provider_name=\"TestProvider\",\n            status_code=429,\n            error_message=\"Rate limit exceeded\"\n        )\n        assert result[0][\"_error\"] == \"api_error\"\n        assert result[0][\"_http_code\"] == 429\n\n    def test_classify_408_request_timeout(self):\n        \"\"\"Test classification of 408 Request Timeout error.\"\"\"\n        result = _classify_provider_error(\n            provider_name=\"TestProvider\",\n            status_code=408,\n            error_message=\"Request timed out\"\n        )\n        assert result[0][\"_error\"] == \"api_error\"\n        assert result[0][\"_http_code\"] == 408\n\n    def test_classify_422_unprocessable_entity(self):\n        \"\"\"Test classification of 422 Unprocessable Entity error.\"\"\"\n        result = _classify_provider_error(\n            provider_name=\"TestProvider\",\n            status_code=422,\n            error_message=\"Validation failed\"\n        )\n        assert result[0][\"_error\"] == \"api_error\"\n        assert result[0][\"_http_code\"] == 422\n\n    def test_classify_426_upgrade_required(self):\n        \"\"\"Test classification of 426 Upgrade Required error.\"\"\"\n        result = _classify_provider_error(\n            provider_name=\"TestProvider\",\n            status_code=426,\n            error_message=\"TLS upgrade required\"\n        )\n        assert result[0][\"_error\"] == \"api_error\"\n        assert result[0][\"_http_code\"] == 426\n\n    def test_classify_428_precondition_failed(self):\n        \"\"\"Test classification of 428 Precondition Failed error.\"\"\"\n        result = _classify_provider_error(\n            provider_name=\"TestProvider\",\n            status_code=428,\n            error_message=\"Precondition required\"\n        )\n        assert result[0][\"_error\"] == \"api_error\"\n        assert result[0][\"_http_code\"] == 428\n\n    def test_classify_503_service_unavailable(self):\n        \"\"\"Test classification of 503 Service Unavailable error.\"\"\"\n        result = _classify_provider_error(\n            provider_name=\"TestProvider\",\n            status_code=503,\n            error_message=\"Service temporarily unavailable\"\n        )\n        assert result[0][\"_error\"] == \"server_error\"\n        assert result[0][\"_http_code\"] == 503\n\n    def test_classify_504_gateway_timeout(self):\n        \"\"\"Test classification of 504 Gateway Timeout error.\"\"\"\n        result = _classify_provider_error(\n            provider_name=\"TestProvider\",\n            status_code=504,\n            error_message=\"Gateway timeout\"\n        )\n        assert result[0][\"_error\"] == \"server_error\"\n        assert result[0][\"_http_code\"] == 504\n\n    def test_classify_507_insufficient_storage(self):\n        \"\"\"Test classification of 507 Insufficient Storage error.\"\"\"\n        result = _classify_provider_error(\n            provider_name=\"TestProvider\",\n            status_code=507,\n            error_message=\"Insufficient storage\"\n        )\n        assert result[0][\"_error\"] == \"server_error\"\n        assert result[0][\"_http_code\"] == 507\n\n    def test_classify_509_bandwidth_limit_exceeded(self):\n        \"\"\"Test classification of 509 Bandwidth Limit Exceeded error.\"\"\"\n        result = _classify_provider_error(\n            provider_name=\"TestProvider\",\n            status_code=509,\n            error_message=\"Bandwidth limit exceeded\"\n        )\n        assert result[0][\"_error\"] == \"server_error\"\n        assert result[0][\"_http_code\"] == 509\n\n    def test_classify_error_message_only_no_status_no_exception(self):\n        \"\"\"Test classification when only error_message is provided (no status_code, no exception).\"\"\"\n        result = _classify_provider_error(\n            provider_name=\"TestProvider\",\n            error_message=\"Something went wrong\"\n        )\n        assert result[0][\"_error\"] == \"connection_failed\"\n        assert \"TestProvider\" in result[0][\"_message\"]\n\n    def test_classify_with_empty_error_message(self):\n        \"\"\"Test classification with empty error message string.\"\"\"\n        result = _classify_provider_error(\n            provider_name=\"TestProvider\",\n            status_code=400,\n            error_message=\"\"\n        )\n        assert result[0][\"_error\"] == \"api_error\"\n        assert result[0][\"_http_code\"] == 400\n\n    def test_classify_with_none_error_message(self):\n        \"\"\"Test classification with None error message.\"\"\"\n        result = _classify_provider_error(\n            provider_name=\"TestProvider\",\n            status_code=500,\n            error_message=None\n        )\n        assert result[0][\"_error\"] == \"server_error\"\n        assert result[0][\"_http_code\"] == 500\n\n    def test_classify_client_connector_error_connection_error(self):\n        \"\"\"Test classification of aiohttp.ClientConnectorError with connection error.\"\"\"\n        import aiohttp\n        from unittest.mock import Mock\n\n        class MockClientConnectorError(aiohttp.ClientConnectorError):\n            def __init__(self, message):\n                mock_conn_key = Mock()\n                mock_conn_key.ssl = False\n                mock_os_error = Mock()\n                mock_os_error.errno = 113\n                mock_os_error.strerror = message\n                super().__init__(connection_key=mock_conn_key, os_error=mock_os_error)\n                self._message = message\n\n            def __str__(self):\n                return self._message\n\n        mock_exception = MockClientConnectorError(\"Host unreachable\")\n        result = _classify_provider_error(\n            provider_name=\"TestProvider\",\n            exception=mock_exception\n        )\n        assert result[0][\"_error\"] == \"connection_failed\"\n\n    def test_classify_client_connector_error_dns_resolution_failed(self):\n        \"\"\"Test classification of aiohttp.ClientConnectorError with DNS resolution failure.\"\"\"\n        import aiohttp\n        from unittest.mock import Mock\n\n        class MockClientConnectorError(aiohttp.ClientConnectorError):\n            def __init__(self, message):\n                mock_conn_key = Mock()\n                mock_conn_key.ssl = False\n                mock_os_error = Mock()\n                mock_os_error.errno = -2\n                mock_os_error.strerror = message\n                super().__init__(connection_key=mock_conn_key, os_error=mock_os_error)\n                self._message = message\n\n            def __str__(self):\n                return self._message\n\n        mock_exception = MockClientConnectorError(\"Could not resolve host\")\n        result = _classify_provider_error(\n            provider_name=\"TestProvider\",\n            exception=mock_exception\n        )\n        assert result[0][\"_error\"] == \"connection_failed\"\n\n\nclass TestAbstractModelProvider:\n    \"\"\"Tests for AbstractModelProvider abstract class.\"\"\"\n\n    @pytest.mark.asyncio\n    async def test_abstract_method_raises_not_implemented(self):\n        \"\"\"Test that calling abstract get_models raises NotImplementedError.\"\"\"\n        # Create a subclass that doesn't override get_models\n        # This should fail at instantiation time, not at call time\n        with pytest.raises(TypeError, match=\"abstract method\"):\n            class IncompleteProvider(AbstractModelProvider):\n                pass\n\n            # If class definition succeeded (which it shouldn't), try to instantiate\n            provider = IncompleteProvider()\n            await provider.get_models({})\n\n    def test_is_abstract_class(self):\n        \"\"\"Test that AbstractModelProvider cannot be instantiated directly.\"\"\"\n        with pytest.raises(TypeError):\n            AbstractModelProvider()\n\n    def test_concrete_implementation_can_be_instantiated(self):\n        \"\"\"Test that concrete implementations can be instantiated.\"\"\"\n\n        class ConcreteProvider(AbstractModelProvider):\n            async def get_models(self, provider_config):\n                return [{\"id\": \"test\"}]\n\n        provider = ConcreteProvider()\n        assert isinstance(provider, AbstractModelProvider)\n\n    def test_concrete_provider_get_models_returns_list(self):\n        \"\"\"Test that concrete provider get_models returns a list of models.\"\"\"\n\n        class ConcreteProvider(AbstractModelProvider):\n            async def get_models(self, provider_config):\n                return [\n                    {\"id\": \"model-1\", \"name\": \"Model 1\"},\n                    {\"id\": \"model-2\", \"name\": \"Model 2\"},\n                ]\n\n        provider = ConcreteProvider()\n        # get_models is async, so we need to get the coroutine and inspect it\n        coroutine = provider.get_models({})\n        assert hasattr(coroutine, '__await__')\n\n    @pytest.mark.asyncio\n    async def test_concrete_provider_get_models_with_config(self):\n        \"\"\"Test that concrete provider get_models accepts and uses config.\"\"\"\n\n        class ConcreteProvider(AbstractModelProvider):\n            async def get_models(self, provider_config):\n                return [{\"id\": provider_config.get(\"model_id\", \"default\")}]\n\n        provider = ConcreteProvider()\n        result = await provider.get_models({\"model_id\": \"custom-model\"})\n        assert result[0][\"id\"] == \"custom-model\"\n\n    @pytest.mark.asyncio\n    async def test_concrete_provider_get_models_empty_config(self):\n        \"\"\"Test that concrete provider get_models handles empty config.\"\"\"\n\n        class ConcreteProvider(AbstractModelProvider):\n            async def get_models(self, provider_config):\n                return [{\"id\": \"default\"}]\n\n        provider = ConcreteProvider()\n        result = await provider.get_models({})\n        assert result[0][\"id\"] == \"default\"\n\n    @pytest.mark.asyncio\n    async def test_concrete_provider_get_models_none_config(self):\n        \"\"\"Test that concrete provider get_models handles None config.\"\"\"\n\n        class ConcreteProvider(AbstractModelProvider):\n            async def get_models(self, provider_config):\n                return [{\"id\": \"test\"}]\n\n        provider = ConcreteProvider()\n        result = await provider.get_models(None)\n        assert result[0][\"id\"] == \"test\"\n\n    @pytest.mark.asyncio\n    async def test_concrete_provider_get_models_is_async(self):\n        \"\"\"Test that get_models is properly defined as async.\"\"\"\n\n        class ConcreteProvider(AbstractModelProvider):\n            async def get_models(self, provider_config):\n                return [{\"id\": \"async-test\"}]\n\n        provider = ConcreteProvider()\n        result = await provider.get_models({})\n        assert result[0][\"id\"] == \"async-test\"\n\n    def test_provider_with_additional_methods(self):\n        \"\"\"Test that concrete providers can have additional methods.\"\"\"\n\n        class ExtendedProvider(AbstractModelProvider):\n            async def get_models(self, provider_config):\n                return [{\"id\": \"test\"}]\n\n            def get_provider_info(self):\n                return {\"name\": \"ExtendedProvider\", \"version\": \"1.0\"}\n\n        provider = ExtendedProvider()\n        assert isinstance(provider, AbstractModelProvider)\n        assert provider.get_provider_info()[\"name\"] == \"ExtendedProvider\"\n\n    def test_provider_inheritance_chain(self):\n        \"\"\"Test that providers can inherit from other provider classes.\"\"\"\n\n        class BaseProvider(AbstractModelProvider):\n            async def get_models(self, provider_config):\n                return []\n\n        class ExtendedProvider(BaseProvider):\n            async def get_models(self, provider_config):\n                return [{\"id\": \"extended\"}]\n\n        provider = ExtendedProvider()\n        assert isinstance(provider, AbstractModelProvider)\n        assert isinstance(provider, BaseProvider)\n"
  },
  {
    "path": "test/backend/services/providers/test_dashscope_provider.py",
    "content": "\"\"\"Unit tests for DashScopeModelProvider module.\n\nTests cover model fetching, type classification, and error handling.\n\"\"\"\n\nimport pytest\nfrom unittest.mock import MagicMock, AsyncMock, patch, Mock\nfrom pytest_mock import MockFixture\n\nimport httpx\n\nfrom backend.services.providers.dashscope_provider import DashScopeModelProvider\n\n\nclass TestDashScopeModelProvider:\n    \"\"\"Tests for DashScopeModelProvider class.\"\"\"\n\n    def _setup_mock_client(self, mocker, mock_response):\n        \"\"\"Set up mock for httpx.AsyncClient with proper context manager.\"\"\"\n        # Create mock client that handles the get request\n        mock_client = AsyncMock()\n        mock_client.get.return_value = mock_response\n\n        # Create context manager mock\n        mock_cm = MagicMock()\n        mock_cm.__aenter__ = AsyncMock(return_value=mock_client)\n        mock_cm.__aexit__ = AsyncMock(return_value=None)\n\n        # Create a mock class that can be called with verify=False\n        mock_client_class = Mock(return_value=mock_cm)\n        \n        mocker.patch(\n            \"backend.services.providers.dashscope_provider.httpx.AsyncClient\",\n            mock_client_class\n        )\n        \n        return mock_client_class\n\n    @pytest.mark.asyncio\n    async def test_get_models_llm_success(self, mocker: MockFixture):\n        \"\"\"Test successful model retrieval for LLM models.\"\"\"\n        mock_response = MagicMock()\n        mock_response.status_code = 200\n        mock_response.json.return_value = {\n            \"output\": {\n                \"models\": [\n                    {\n                        \"model\": \"qwen-turbo\",\n                        \"description\": \"Text generation model\",\n                        \"inference_metadata\": {\n                            \"request_modality\": [\"Text\"],\n                            \"response_modality\": [\"Text\"]\n                        }\n                    },\n                    {\n                        \"model\": \"qwen-plus\",\n                        \"description\": \"Advanced text generation\",\n                        \"inference_metadata\": {\n                            \"request_modality\": [\"Text\"],\n                            \"response_modality\": [\"Text\"]\n                        }\n                    }\n                ]\n            }\n        }\n        mock_response.raise_for_status = MagicMock()\n\n        self._setup_mock_client(mocker, mock_response)\n\n        mocker.patch(\n            \"backend.services.providers.dashscope_provider.DASHSCOPE_GET_URL\",\n            \"https://dashscope.aliyuncs.com/api/v1/models\"\n        )\n        mocker.patch(\n            \"backend.services.providers.dashscope_provider.DEFAULT_LLM_MAX_TOKENS\",\n            4096\n        )\n\n        provider = DashScopeModelProvider()\n        provider_config = {\n            \"model_type\": \"llm\",\n            \"api_key\": \"test-api-key\"\n        }\n\n        result = await provider.get_models(provider_config)\n\n        assert len(result) == 2\n        assert result[0][\"id\"] == \"qwen-turbo\"\n        assert result[0][\"model_type\"] == \"llm\"\n        assert result[0][\"model_tag\"] == \"chat\"\n        assert result[0][\"max_tokens\"] == 4096\n\n    @pytest.mark.asyncio\n    async def test_get_models_embedding_success(self, mocker: MockFixture):\n        \"\"\"Test successful model retrieval for embedding models.\"\"\"\n        mock_response = MagicMock()\n        mock_response.status_code = 200\n        mock_response.json.return_value = {\n            \"output\": {\n                \"models\": [\n                    {\n                        \"model\": \"text-embedding-v3\",\n                        \"description\": \"Embedding model\",\n                        \"inference_metadata\": {\n                            \"request_modality\": [\"Text\"],\n                            \"response_modality\": [\"Text\"]\n                        }\n                    }\n                ]\n            }\n        }\n        mock_response.raise_for_status = MagicMock()\n\n        self._setup_mock_client(mocker, mock_response)\n\n        mocker.patch(\n            \"backend.services.providers.dashscope_provider.DASHSCOPE_GET_URL\",\n            \"https://dashscope.aliyuncs.com/api/v1/models\"\n        )\n\n        provider = DashScopeModelProvider()\n        provider_config = {\n            \"model_type\": \"embedding\",\n            \"api_key\": \"test-api-key\"\n        }\n\n        result = await provider.get_models(provider_config)\n\n        assert len(result) == 1\n        assert result[0][\"id\"] == \"text-embedding-v3\"\n        assert result[0][\"model_type\"] == \"embedding\"\n        assert result[0][\"model_tag\"] == \"embedding\"\n\n    @pytest.mark.asyncio\n    async def test_get_models_vlm_success(self, mocker: MockFixture):\n        \"\"\"Test successful model retrieval for VLM models.\"\"\"\n        mock_response = MagicMock()\n        mock_response.status_code = 200\n        mock_response.json.return_value = {\n            \"output\": {\n                \"models\": [\n                    {\n                        \"model\": \"qwen-vl-plus\",\n                        \"description\": \"Vision language model\",\n                        \"inference_metadata\": {\n                            \"request_modality\": [\"Image\", \"Text\"],\n                            \"response_modality\": [\"Text\"]\n                        }\n                    }\n                ]\n            }\n        }\n        mock_response.raise_for_status = MagicMock()\n\n        self._setup_mock_client(mocker, mock_response)\n\n        mocker.patch(\n            \"backend.services.providers.dashscope_provider.DASHSCOPE_GET_URL\",\n            \"https://dashscope.aliyuncs.com/api/v1/models\"\n        )\n\n        provider = DashScopeModelProvider()\n        provider_config = {\n            \"model_type\": \"vlm\",\n            \"api_key\": \"test-api-key\"\n        }\n\n        result = await provider.get_models(provider_config)\n\n        assert len(result) == 1\n        assert result[0][\"id\"] == \"qwen-vl-plus\"\n        assert result[0][\"model_type\"] == \"vlm\"\n        assert result[0][\"model_tag\"] == \"chat\"\n\n    @pytest.mark.asyncio\n    async def test_get_models_reranker_success(self, mocker: MockFixture):\n        \"\"\"Test successful model retrieval for reranker models.\"\"\"\n        mock_response = MagicMock()\n        mock_response.status_code = 200\n        mock_response.json.return_value = {\n            \"output\": {\n                \"models\": [\n                    {\n                        \"model\": \"gte-reranker\",\n                        \"description\": \"Reranking model\",\n                        \"inference_metadata\": {\n                            \"request_modality\": [\"Text\"],\n                            \"response_modality\": [\"Text\"]\n                        }\n                    }\n                ]\n            }\n        }\n        mock_response.raise_for_status = MagicMock()\n\n        self._setup_mock_client(mocker, mock_response)\n\n        mocker.patch(\n            \"backend.services.providers.dashscope_provider.DASHSCOPE_GET_URL\",\n            \"https://dashscope.aliyuncs.com/api/v1/models\"\n        )\n\n        provider = DashScopeModelProvider()\n        provider_config = {\n            \"model_type\": \"reranker\",\n            \"api_key\": \"test-api-key\"\n        }\n\n        result = await provider.get_models(provider_config)\n\n        assert len(result) == 1\n        assert result[0][\"id\"] == \"gte-reranker\"\n        assert result[0][\"model_type\"] == \"reranker\"\n        assert result[0][\"model_tag\"] == \"reranker\"\n\n    @pytest.mark.asyncio\n    async def test_get_models_tts_success(self, mocker: MockFixture):\n        \"\"\"Test successful model retrieval for TTS models.\"\"\"\n        mock_response = MagicMock()\n        mock_response.status_code = 200\n        mock_response.json.return_value = {\n            \"output\": {\n                \"models\": [\n                    {\n                        \"model\": \"sambert-tts\",\n                        \"description\": \"Text to speech\",\n                        \"inference_metadata\": {\n                            \"request_modality\": [\"Text\"],\n                            \"response_modality\": [\"Audio\"]\n                        }\n                    }\n                ]\n            }\n        }\n        mock_response.raise_for_status = MagicMock()\n\n        self._setup_mock_client(mocker, mock_response)\n\n        mocker.patch(\n            \"backend.services.providers.dashscope_provider.DASHSCOPE_GET_URL\",\n            \"https://dashscope.aliyuncs.com/api/v1/models\"\n        )\n\n        provider = DashScopeModelProvider()\n        provider_config = {\n            \"model_type\": \"tts\",\n            \"api_key\": \"test-api-key\"\n        }\n\n        result = await provider.get_models(provider_config)\n\n        assert len(result) == 1\n        assert result[0][\"id\"] == \"sambert-tts\"\n        assert result[0][\"model_type\"] == \"tts\"\n        assert result[0][\"model_tag\"] == \"tts\"\n\n    @pytest.mark.asyncio\n    async def test_get_models_stt_success(self, mocker: MockFixture):\n        \"\"\"Test successful model retrieval for STT models.\"\"\"\n        mock_response = MagicMock()\n        mock_response.status_code = 200\n        mock_response.json.return_value = {\n            \"output\": {\n                \"models\": [\n                    {\n                        \"model\": \"paraformer-realtime-v2\",\n                        \"description\": \"Speech recognition\",\n                        \"inference_metadata\": {\n                            \"request_modality\": [\"Audio\"],\n                            \"response_modality\": [\"Text\"]\n                        }\n                    }\n                ]\n            }\n        }\n        mock_response.raise_for_status = MagicMock()\n\n        self._setup_mock_client(mocker, mock_response)\n\n        mocker.patch(\n            \"backend.services.providers.dashscope_provider.DASHSCOPE_GET_URL\",\n            \"https://dashscope.aliyuncs.com/api/v1/models\"\n        )\n\n        provider = DashScopeModelProvider()\n        provider_config = {\n            \"model_type\": \"stt\",\n            \"api_key\": \"test-api-key\"\n        }\n\n        result = await provider.get_models(provider_config)\n\n        assert len(result) == 1\n        assert result[0][\"id\"] == \"paraformer-realtime-v2\"\n        assert result[0][\"model_type\"] == \"stt\"\n        assert result[0][\"model_tag\"] == \"stt\"\n\n    @pytest.mark.asyncio\n    async def test_get_models_multi_embedding_success(self, mocker: MockFixture):\n        \"\"\"Test successful model retrieval for multi-embedding models.\"\"\"\n        mock_response = MagicMock()\n        mock_response.status_code = 200\n        mock_response.json.return_value = {\n            \"output\": {\n                \"models\": [\n                    {\n                        \"model\": \"text-embedding-multimodal-v3\",\n                        \"description\": \"Multimodal embedding\",\n                        \"inference_metadata\": {\n                            \"request_modality\": [\"Text\", \"Image\"],\n                            \"response_modality\": [\"Text\"]\n                        }\n                    }\n                ]\n            }\n        }\n        mock_response.raise_for_status = MagicMock()\n\n        self._setup_mock_client(mocker, mock_response)\n\n        mocker.patch(\n            \"backend.services.providers.dashscope_provider.DASHSCOPE_GET_URL\",\n            \"https://dashscope.aliyuncs.com/api/v1/models\"\n        )\n\n        provider = DashScopeModelProvider()\n        provider_config = {\n            \"model_type\": \"multi_embedding\",\n            \"api_key\": \"test-api-key\"\n        }\n\n        result = await provider.get_models(provider_config)\n\n        assert len(result) == 1\n        assert result[0][\"id\"] == \"text-embedding-multimodal-v3\"\n        assert result[0][\"model_type\"] == \"embedding\"\n\n    @pytest.mark.asyncio\n    async def test_get_models_empty_response(self, mocker: MockFixture):\n        \"\"\"Test handling of empty model list from API.\"\"\"\n        mock_response = MagicMock()\n        mock_response.status_code = 200\n        mock_response.json.return_value = {\"output\": {\"models\": []}}\n        mock_response.raise_for_status = MagicMock()\n\n        self._setup_mock_client(mocker, mock_response)\n\n        mocker.patch(\n            \"backend.services.providers.dashscope_provider.DASHSCOPE_GET_URL\",\n            \"https://dashscope.aliyuncs.com/api/v1/models\"\n        )\n\n        provider = DashScopeModelProvider()\n        provider_config = {\n            \"model_type\": \"llm\",\n            \"api_key\": \"test-api-key\"\n        }\n\n        result = await provider.get_models(provider_config)\n\n        assert result == []\n\n    @pytest.mark.asyncio\n    async def test_get_models_http_error(self, mocker: MockFixture):\n        \"\"\"Test handling of HTTP error.\"\"\"\n        mock_client = AsyncMock()\n        mock_client.get.side_effect = httpx.HTTPStatusError(\n            \"Error\",\n            request=MagicMock(),\n            response=MagicMock(status_code=500)\n        )\n\n        mock_cm = MagicMock()\n        mock_cm.__aenter__ = AsyncMock(return_value=mock_client)\n        mock_cm.__aexit__ = AsyncMock(return_value=None)\n\n        mocker.patch(\n            \"backend.services.providers.dashscope_provider.httpx.AsyncClient\",\n            return_value=mock_cm\n        )\n\n        provider = DashScopeModelProvider()\n        provider_config = {\n            \"model_type\": \"llm\",\n            \"api_key\": \"test-api-key\"\n        }\n\n        result = await provider.get_models(provider_config)\n\n        assert isinstance(result, list)\n        assert len(result) == 1\n        assert result[0][\"_error\"] == \"connection_failed\"\n\n    @pytest.mark.asyncio\n    async def test_get_models_connect_error(self, mocker: MockFixture):\n        \"\"\"Test handling of connection error.\"\"\"\n        mock_client = AsyncMock()\n        mock_client.get.side_effect = httpx.ConnectError(\"Connection failed\")\n\n        mock_cm = MagicMock()\n        mock_cm.__aenter__ = AsyncMock(return_value=mock_client)\n        mock_cm.__aexit__ = AsyncMock(return_value=None)\n\n        mocker.patch(\n            \"backend.services.providers.dashscope_provider.httpx.AsyncClient\",\n            return_value=mock_cm\n        )\n\n        provider = DashScopeModelProvider()\n        provider_config = {\n            \"model_type\": \"llm\",\n            \"api_key\": \"test-api-key\"\n        }\n\n        result = await provider.get_models(provider_config)\n\n        assert isinstance(result, list)\n        assert len(result) == 1\n        assert result[0][\"_error\"] == \"connection_failed\"\n\n    @pytest.mark.asyncio\n    async def test_get_models_timeout(self, mocker: MockFixture):\n        \"\"\"Test handling of connection timeout.\"\"\"\n        mock_client = AsyncMock()\n        mock_client.get.side_effect = httpx.ConnectTimeout(\"Timeout\")\n\n        mock_cm = MagicMock()\n        mock_cm.__aenter__ = AsyncMock(return_value=mock_client)\n        mock_cm.__aexit__ = AsyncMock(return_value=None)\n\n        mocker.patch(\n            \"backend.services.providers.dashscope_provider.httpx.AsyncClient\",\n            return_value=mock_cm\n        )\n\n        provider = DashScopeModelProvider()\n        provider_config = {\n            \"model_type\": \"llm\",\n            \"api_key\": \"test-api-key\"\n        }\n\n        result = await provider.get_models(provider_config)\n\n        assert isinstance(result, list)\n        assert len(result) == 1\n        assert result[0][\"_error\"] == \"connection_failed\"\n\n    @pytest.mark.asyncio\n    async def test_get_models_authorization_header(self, mocker: MockFixture):\n        \"\"\"Test that Authorization header is correctly set.\"\"\"\n        mock_response = MagicMock()\n        mock_response.status_code = 200\n        mock_response.json.return_value = {\n            \"output\": {\n                \"models\": [\n                    {\n                        \"model\": \"qwen-turbo\",\n                        \"description\": \"Test\",\n                        \"inference_metadata\": {\n                            \"request_modality\": [\"Text\"],\n                            \"response_modality\": [\"Text\"]\n                        }\n                    }\n                ]\n            }\n        }\n        mock_response.raise_for_status = MagicMock()\n\n        mock_client = AsyncMock()\n        mock_client.get.return_value = mock_response\n\n        mock_cm = MagicMock()\n        mock_cm.__aenter__ = AsyncMock(return_value=mock_client)\n        mock_cm.__aexit__ = AsyncMock(return_value=None)\n\n        mocker.patch(\n            \"backend.services.providers.dashscope_provider.httpx.AsyncClient\",\n            return_value=mock_cm\n        )\n\n        provider = DashScopeModelProvider()\n        provider_config = {\n            \"model_type\": \"llm\",\n            \"api_key\": \"my-secret-key\"\n        }\n\n        await provider.get_models(provider_config)\n\n        # Verify Authorization header\n        call_args = mock_client.get.call_args\n        headers = call_args[1][\"headers\"]\n        assert headers[\"Authorization\"] == \"Bearer my-secret-key\"\n\n    @pytest.mark.asyncio\n    async def test_get_models_pagination(self, mocker: MockFixture):\n        \"\"\"Test that pagination works correctly.\"\"\"\n        # First page returns 100 models\n        mock_response_page1 = MagicMock()\n        mock_response_page1.status_code = 200\n        mock_response_page1.json.return_value = {\n            \"output\": {\n                \"models\": [{\"model\": f\"model-{i}\", \"description\": \"test\",\n                           \"inference_metadata\": {\"request_modality\": [\"Text\"], \"response_modality\": [\"Text\"]}}\n                           for i in range(100)]\n            }\n        }\n        mock_response_page1.raise_for_status = MagicMock()\n\n        # Second page returns 50 models (less than page_size)\n        mock_response_page2 = MagicMock()\n        mock_response_page2.status_code = 200\n        mock_response_page2.json.return_value = {\n            \"output\": {\n                \"models\": [{\"model\": f\"model-{i}\", \"description\": \"test\",\n                           \"inference_metadata\": {\"request_modality\": [\"Text\"], \"response_modality\": [\"Text\"]}}\n                           for i in range(100, 150)]\n            }\n        }\n        mock_response_page2.raise_for_status = MagicMock()\n\n        mock_client = AsyncMock()\n        mock_client.get.side_effect = [mock_response_page1, mock_response_page2]\n\n        mock_cm = MagicMock()\n        mock_cm.__aenter__ = AsyncMock(return_value=mock_client)\n        mock_cm.__aexit__ = AsyncMock(return_value=None)\n\n        mocker.patch(\n            \"backend.services.providers.dashscope_provider.httpx.AsyncClient\",\n            return_value=mock_cm\n        )\n\n        provider = DashScopeModelProvider()\n        provider_config = {\n            \"model_type\": \"llm\",\n            \"api_key\": \"test-api-key\"\n        }\n\n        result = await provider.get_models(provider_config)\n\n        # Should get models from both pages\n        assert len(result) == 150\n\n    @pytest.mark.asyncio\n    async def test_get_models_unknown_type_returns_empty(self, mocker: MockFixture):\n        \"\"\"Test that unknown model type returns empty list.\"\"\"\n        mock_response = MagicMock()\n        mock_response.status_code = 200\n        mock_response.json.return_value = {\n            \"output\": {\n                \"models\": [\n                    {\n                        \"model\": \"qwen-turbo\",\n                        \"description\": \"Text generation\",\n                        \"inference_metadata\": {\n                            \"request_modality\": [\"Text\"],\n                            \"response_modality\": [\"Text\"]\n                        }\n                    }\n                ]\n            }\n        }\n        mock_response.raise_for_status = MagicMock()\n\n        self._setup_mock_client(mocker, mock_response)\n\n        provider = DashScopeModelProvider()\n        provider_config = {\n            \"model_type\": \"unknown_type\",\n            \"api_key\": \"test-api-key\"\n        }\n\n        result = await provider.get_models(provider_config)\n\n        assert result == []\n\n    @pytest.mark.asyncio\n    async def test_get_models_rate_limit_retry(self, mocker: MockFixture):\n        \"\"\"Test that a 429 response triggers a retry after sleeping.\"\"\"\n        rate_limit_response = MagicMock()\n        rate_limit_response.status_code = 429\n\n        ok_response = MagicMock()\n        ok_response.status_code = 200\n        ok_response.json.return_value = {\n            \"output\": {\n                \"models\": [\n                    {\n                        \"model\": \"qwen-turbo\",\n                        \"description\": \"Text generation\",\n                        \"inference_metadata\": {\n                            \"request_modality\": [\"Text\"],\n                            \"response_modality\": [\"Text\"],\n                        },\n                    }\n                ]\n            }\n        }\n        ok_response.raise_for_status = MagicMock()\n\n        mock_client = AsyncMock()\n        mock_client.get.side_effect = [rate_limit_response, ok_response]\n\n        mock_cm = MagicMock()\n        mock_cm.__aenter__ = AsyncMock(return_value=mock_client)\n        mock_cm.__aexit__ = AsyncMock(return_value=None)\n\n        mocker.patch(\n            \"backend.services.providers.dashscope_provider.httpx.AsyncClient\",\n            return_value=mock_cm,\n        )\n        mocker.patch(\n            \"backend.services.providers.dashscope_provider.DASHSCOPE_GET_URL\",\n            \"https://dashscope.aliyuncs.com/api/v1/models\",\n        )\n        mocker.patch(\n            \"backend.services.providers.dashscope_provider.asyncio.sleep\",\n            new=AsyncMock(),\n        )\n\n        provider = DashScopeModelProvider()\n        result = await provider.get_models({\"model_type\": \"llm\", \"api_key\": \"test-key\"})\n\n        assert mock_client.get.call_count == 2\n        assert len(result) == 1\n        assert result[0][\"id\"] == \"qwen-turbo\"\n\n    @pytest.mark.asyncio\n    async def test_get_models_with_chinese_description(self, mocker: MockFixture):\n        \"\"\"Test model classification by Chinese description.\"\"\"\n        mock_response = MagicMock()\n        mock_response.status_code = 200\n        mock_response.json.return_value = {\n            \"output\": {\n                \"models\": [\n                    {\n                        \"model\": \"embedding-v1\",\n                        \"description\": \"向量embedding模型\",  # Chinese description\n                        \"inference_metadata\": {\n                            \"request_modality\": [\"Text\"],\n                            \"response_modality\": [\"Text\"]\n                        }\n                    },\n                    {\n                        \"model\": \"rerank-v1\",\n                        \"description\": \"重排序模型\",  # Chinese description\n                        \"inference_metadata\": {\n                            \"request_modality\": [\"Text\"],\n                            \"response_modality\": [\"Text\"]\n                        }\n                    }\n                ]\n            }\n        }\n        mock_response.raise_for_status = MagicMock()\n\n        self._setup_mock_client(mocker, mock_response)\n\n        provider = DashScopeModelProvider()\n\n        # Test embedding classification by Chinese description\n        result = await provider.get_models({\"model_type\": \"embedding\", \"api_key\": \"test-key\"})\n        assert len(result) == 1\n        assert result[0][\"id\"] == \"embedding-v1\"\n\n        # Test reranker classification by Chinese description\n        result = await provider.get_models({\"model_type\": \"reranker\", \"api_key\": \"test-key\"})\n        assert len(result) == 1\n        assert result[0][\"id\"] == \"rerank-v1\"\n"
  },
  {
    "path": "test/backend/services/providers/test_modelengine_provider.py",
    "content": "\"\"\"Unit tests for ModelEngineProvider module.\n\nTests cover model fetching, type mapping, and error handling.\n\"\"\"\n\nimport pytest\nfrom unittest.mock import MagicMock, AsyncMock, patch\nfrom pytest_mock import MockFixture\n\nimport aiohttp\n\nfrom backend.services.providers.modelengine_provider import (\n    ModelEngineProvider,\n    MODEL_ENGINE_NORTH_PREFIX,\n    get_model_engine_raw_url,\n)\n\n\nclass TestModelEngineProvider:\n    \"\"\"Tests for ModelEngineProvider class.\"\"\"\n\n    @pytest.mark.asyncio\n    async def test_get_models_success_with_all_types(self, mocker: MockFixture):\n        \"\"\"Test successful model retrieval with all model types.\"\"\"\n        mock_response_data = {\n            \"data\": [\n                {\"id\": \"model-1\", \"type\": \"chat\"},\n                {\"id\": \"model-2\", \"type\": \"embed\"},\n                {\"id\": \"model-3\", \"type\": \"asr\"},\n                {\"id\": \"model-4\", \"type\": \"tts\"},\n                {\"id\": \"model-5\", \"type\": \"rerank\"},\n                {\"id\": \"model-6\", \"type\": \"multimodal\"},\n            ]\n        }\n\n        mock_response = AsyncMock()\n        mock_response.status = 200\n        mock_response.json = AsyncMock(return_value=mock_response_data)\n        mock_response.raise_for_status = MagicMock()\n\n        # Create mock client for async context manager\n        mock_get_cm = MagicMock()\n        mock_get_cm.__aenter__ = AsyncMock(return_value=mock_response)\n        mock_get_cm.__aexit__ = AsyncMock(return_value=None)\n\n        mock_session_instance = MagicMock()\n        mock_session_instance.get = MagicMock(return_value=mock_get_cm)\n\n        mock_session_cm = MagicMock()\n        mock_session_cm.__aenter__ = AsyncMock(return_value=mock_session_instance)\n        mock_session_cm.__aexit__ = AsyncMock(return_value=None)\n\n        mocker.patch(\n            \"backend.services.providers.modelengine_provider.aiohttp.ClientSession\",\n            return_value=mock_session_cm\n        )\n\n        provider = ModelEngineProvider()\n        provider_config = {\n            \"model_type\": \"\",\n            \"base_url\": \"https://test.example.com\",\n            \"api_key\": \"test-api-key\"\n        }\n\n        result = await provider.get_models(provider_config)\n\n        assert len(result) == 6\n        assert result[0][\"id\"] == \"model-1\"\n        assert result[0][\"model_type\"] == \"llm\"\n        assert result[0][\"model_tag\"] == \"chat\"\n        assert result[0][\"max_tokens\"] > 0  # LLM type should have max_tokens\n\n    @pytest.mark.asyncio\n    async def test_get_models_with_type_filter(self, mocker: MockFixture):\n        \"\"\"Test model retrieval with type filter.\"\"\"\n        mock_response_data = {\n            \"data\": [\n                {\"id\": \"llm-model-1\", \"type\": \"chat\"},\n                {\"id\": \"llm-model-2\", \"type\": \"chat\"},\n                {\"id\": \"embed-model-1\", \"type\": \"embed\"},\n            ]\n        }\n\n        mock_response = AsyncMock()\n        mock_response.status = 200\n        mock_response.json = AsyncMock(return_value=mock_response_data)\n        mock_response.raise_for_status = MagicMock()\n\n        mock_get_cm = MagicMock()\n        mock_get_cm.__aenter__ = AsyncMock(return_value=mock_response)\n        mock_get_cm.__aexit__ = AsyncMock(return_value=None)\n\n        mock_session_instance = MagicMock()\n        mock_session_instance.get = MagicMock(return_value=mock_get_cm)\n\n        mock_session_cm = MagicMock()\n        mock_session_cm.__aenter__ = AsyncMock(return_value=mock_session_instance)\n        mock_session_cm.__aexit__ = AsyncMock(return_value=None)\n\n        mocker.patch(\n            \"backend.services.providers.modelengine_provider.aiohttp.ClientSession\",\n            return_value=mock_session_cm\n        )\n\n        provider = ModelEngineProvider()\n        provider_config = {\n            \"model_type\": \"llm\",\n            \"base_url\": \"https://test.example.com\",\n            \"api_key\": \"test-api-key\"\n        }\n\n        result = await provider.get_models(provider_config)\n\n        assert len(result) == 2\n        for model in result:\n            assert model[\"model_type\"] == \"llm\"\n\n    @pytest.mark.asyncio\n    async def test_get_models_empty_response(self, mocker: MockFixture):\n        \"\"\"Test handling of empty model list from API.\"\"\"\n        mock_response_data = {\"data\": []}\n\n        mock_response = AsyncMock()\n        mock_response.status = 200\n        mock_response.json = AsyncMock(return_value=mock_response_data)\n        mock_response.raise_for_status = MagicMock()\n\n        mock_get_cm = MagicMock()\n        mock_get_cm.__aenter__ = AsyncMock(return_value=mock_response)\n        mock_get_cm.__aexit__ = AsyncMock(return_value=None)\n\n        mock_session_instance = MagicMock()\n        mock_session_instance.get = MagicMock(return_value=mock_get_cm)\n\n        mock_session_cm = MagicMock()\n        mock_session_cm.__aenter__ = AsyncMock(return_value=mock_session_instance)\n        mock_session_cm.__aexit__ = AsyncMock(return_value=None)\n\n        mocker.patch(\n            \"backend.services.providers.modelengine_provider.aiohttp.ClientSession\",\n            return_value=mock_session_cm\n        )\n\n        provider = ModelEngineProvider()\n        provider_config = {\n            \"model_type\": \"\",\n            \"base_url\": \"https://test.example.com\",\n            \"api_key\": \"test-api-key\"\n        }\n\n        result = await provider.get_models(provider_config)\n\n        assert result == []\n\n    @pytest.mark.asyncio\n    async def test_get_models_missing_host(self, mocker: MockFixture):\n        \"\"\"Test handling when host is missing.\"\"\"\n        provider = ModelEngineProvider()\n        provider_config = {\n            \"model_type\": \"llm\",\n            \"api_key\": \"test-api-key\"\n        }\n\n        result = await provider.get_models(provider_config)\n\n        assert result == []\n\n    @pytest.mark.asyncio\n    async def test_get_models_missing_api_key(self, mocker: MockFixture):\n        \"\"\"Test handling when API key is missing.\"\"\"\n        provider = ModelEngineProvider()\n        provider_config = {\n            \"model_type\": \"llm\",\n            \"base_url\": \"https://test.example.com\"\n        }\n\n        result = await provider.get_models(provider_config)\n\n        assert result == []\n\n    @pytest.mark.asyncio\n    async def test_get_models_api_error_401(self, mocker: MockFixture):\n        \"\"\"Test handling of 401 API error.\"\"\"\n        mock_response = AsyncMock()\n        mock_response.status = 401\n        mock_response.text = AsyncMock(return_value=\"Invalid API key\")\n        mock_response.raise_for_status = MagicMock()\n\n        mock_get_cm = MagicMock()\n        mock_get_cm.__aenter__ = AsyncMock(return_value=mock_response)\n        mock_get_cm.__aexit__ = AsyncMock(return_value=None)\n\n        mock_session_instance = MagicMock()\n        mock_session_instance.get = MagicMock(return_value=mock_get_cm)\n\n        mock_session_cm = MagicMock()\n        mock_session_cm.__aenter__ = AsyncMock(return_value=mock_session_instance)\n        mock_session_cm.__aexit__ = AsyncMock(return_value=None)\n\n        mocker.patch(\n            \"backend.services.providers.modelengine_provider.aiohttp.ClientSession\",\n            return_value=mock_session_cm\n        )\n\n        provider = ModelEngineProvider()\n        provider_config = {\n            \"model_type\": \"\",\n            \"base_url\": \"https://test.example.com\",\n            \"api_key\": \"invalid-key\"\n        }\n\n        result = await provider.get_models(provider_config)\n\n        assert isinstance(result, list)\n        assert len(result) == 1\n        assert result[0][\"_error\"] == \"authentication_failed\"\n\n    @pytest.mark.asyncio\n    async def test_get_models_api_error_500(self, mocker: MockFixture):\n        \"\"\"Test handling of 500 server error.\"\"\"\n        mock_response = AsyncMock()\n        mock_response.status = 500\n        mock_response.text = AsyncMock(return_value=\"Internal server error\")\n        mock_response.raise_for_status = MagicMock()\n\n        mock_get_cm = MagicMock()\n        mock_get_cm.__aenter__ = AsyncMock(return_value=mock_response)\n        mock_get_cm.__aexit__ = AsyncMock(return_value=None)\n\n        mock_session_instance = MagicMock()\n        mock_session_instance.get = MagicMock(return_value=mock_get_cm)\n\n        mock_session_cm = MagicMock()\n        mock_session_cm.__aenter__ = AsyncMock(return_value=mock_session_instance)\n        mock_session_cm.__aexit__ = AsyncMock(return_value=None)\n\n        mocker.patch(\n            \"backend.services.providers.modelengine_provider.aiohttp.ClientSession\",\n            return_value=mock_session_cm\n        )\n\n        provider = ModelEngineProvider()\n        provider_config = {\n            \"model_type\": \"\",\n            \"base_url\": \"https://test.example.com\",\n            \"api_key\": \"test-key\"\n        }\n\n        result = await provider.get_models(provider_config)\n\n        assert isinstance(result, list)\n        assert len(result) == 1\n        assert result[0][\"_error\"] == \"server_error\"\n\n    @pytest.mark.asyncio\n    async def test_get_models_connection_error(self, mocker: MockFixture):\n        \"\"\"Test handling of connection error.\"\"\"\n        # Use a simple Exception that will be caught by the generic exception handler\n        mock_session_cm = MagicMock()\n        mock_session_cm.__aenter__ = AsyncMock(side_effect=Exception(\"Connection refused\"))\n        mock_session_cm.__aexit__ = AsyncMock(return_value=None)\n\n        mocker.patch(\n            \"backend.services.providers.modelengine_provider.aiohttp.ClientSession\",\n            return_value=mock_session_cm\n        )\n\n        provider = ModelEngineProvider()\n        provider_config = {\n            \"model_type\": \"\",\n            \"base_url\": \"https://test.example.com\",\n            \"api_key\": \"test-key\"\n        }\n\n        result = await provider.get_models(provider_config)\n\n        assert isinstance(result, list)\n        assert len(result) == 1\n        assert result[0][\"_error\"] == \"connection_failed\"\n\n    @pytest.mark.asyncio\n    async def test_get_models_type_mapping(self, mocker: MockFixture):\n        \"\"\"Test correct type mapping from ModelEngine to internal types.\"\"\"\n        mock_response_data = {\n            \"data\": [\n                {\"id\": \"chat-model\", \"type\": \"chat\"},\n                {\"id\": \"embed-model\", \"type\": \"embed\"},\n                {\"id\": \"asr-model\", \"type\": \"asr\"},\n                {\"id\": \"tts-model\", \"type\": \"tts\"},\n                {\"id\": \"rerank-model\", \"type\": \"rerank\"},\n                {\"id\": \"vlm-model\", \"type\": \"multimodal\"},\n            ]\n        }\n\n        mock_response = AsyncMock()\n        mock_response.status = 200\n        mock_response.json = AsyncMock(return_value=mock_response_data)\n        mock_response.raise_for_status = MagicMock()\n\n        mock_get_cm = MagicMock()\n        mock_get_cm.__aenter__ = AsyncMock(return_value=mock_response)\n        mock_get_cm.__aexit__ = AsyncMock(return_value=None)\n\n        mock_session_instance = MagicMock()\n        mock_session_instance.get = MagicMock(return_value=mock_get_cm)\n\n        mock_session_cm = MagicMock()\n        mock_session_cm.__aenter__ = AsyncMock(return_value=mock_session_instance)\n        mock_session_cm.__aexit__ = AsyncMock(return_value=None)\n\n        mocker.patch(\n            \"backend.services.providers.modelengine_provider.aiohttp.ClientSession\",\n            return_value=mock_session_cm\n        )\n\n        provider = ModelEngineProvider()\n        provider_config = {\n            \"model_type\": \"\",\n            \"base_url\": \"https://test.example.com\",\n            \"api_key\": \"test-key\"\n        }\n\n        result = await provider.get_models(provider_config)\n\n        type_mapping = {\n            \"chat-model\": \"llm\",\n            \"embed-model\": \"embedding\",\n            \"asr-model\": \"stt\",\n            \"tts-model\": \"tts\",\n            \"rerank-model\": \"rerank\",\n            \"vlm-model\": \"vlm\",\n        }\n\n        for model in result:\n            expected_type = type_mapping.get(model[\"id\"])\n            assert model[\"model_type\"] == expected_type\n\n    @pytest.mark.asyncio\n    async def test_get_models_vlm_has_max_tokens(self, mocker: MockFixture):\n        \"\"\"Test that VLM models have max_tokens set.\"\"\"\n        mock_response_data = {\n            \"data\": [\n                {\"id\": \"vlm-model\", \"type\": \"multimodal\"},\n            ]\n        }\n\n        mock_response = AsyncMock()\n        mock_response.status = 200\n        mock_response.json = AsyncMock(return_value=mock_response_data)\n        mock_response.raise_for_status = MagicMock()\n\n        mock_get_cm = MagicMock()\n        mock_get_cm.__aenter__ = AsyncMock(return_value=mock_response)\n        mock_get_cm.__aexit__ = AsyncMock(return_value=None)\n\n        mock_session_instance = MagicMock()\n        mock_session_instance.get = MagicMock(return_value=mock_get_cm)\n\n        mock_session_cm = MagicMock()\n        mock_session_cm.__aenter__ = AsyncMock(return_value=mock_session_instance)\n        mock_session_cm.__aexit__ = AsyncMock(return_value=None)\n\n        mocker.patch(\n            \"backend.services.providers.modelengine_provider.aiohttp.ClientSession\",\n            return_value=mock_session_cm\n        )\n\n        provider = ModelEngineProvider()\n        provider_config = {\n            \"model_type\": \"vlm\",\n            \"base_url\": \"https://test.example.com\",\n            \"api_key\": \"test-key\"\n        }\n\n        result = await provider.get_models(provider_config)\n\n        assert len(result) == 1\n        assert result[0][\"model_type\"] == \"vlm\"\n        assert result[0][\"max_tokens\"] > 0\n\n    @pytest.mark.asyncio\n    async def test_get_models_embedding_no_max_tokens(self, mocker: MockFixture):\n        \"\"\"Test that embedding models have max_tokens set to 0.\"\"\"\n        mock_response_data = {\n            \"data\": [\n                {\"id\": \"embed-model\", \"type\": \"embed\"},\n            ]\n        }\n\n        mock_response = AsyncMock()\n        mock_response.status = 200\n        mock_response.json = AsyncMock(return_value=mock_response_data)\n        mock_response.raise_for_status = MagicMock()\n\n        mock_get_cm = MagicMock()\n        mock_get_cm.__aenter__ = AsyncMock(return_value=mock_response)\n        mock_get_cm.__aexit__ = AsyncMock(return_value=None)\n\n        mock_session_instance = MagicMock()\n        mock_session_instance.get = MagicMock(return_value=mock_get_cm)\n\n        mock_session_cm = MagicMock()\n        mock_session_cm.__aenter__ = AsyncMock(return_value=mock_session_instance)\n        mock_session_cm.__aexit__ = AsyncMock(return_value=None)\n\n        mocker.patch(\n            \"backend.services.providers.modelengine_provider.aiohttp.ClientSession\",\n            return_value=mock_session_cm\n        )\n\n        provider = ModelEngineProvider()\n        provider_config = {\n            \"model_type\": \"embedding\",\n            \"base_url\": \"https://test.example.com\",\n            \"api_key\": \"test-key\"\n        }\n\n        result = await provider.get_models(provider_config)\n\n        assert len(result) == 1\n        assert result[0][\"model_type\"] == \"embedding\"\n        assert result[0][\"max_tokens\"] == 0\n\n\nclass TestModelEngineProviderHelpers:\n    \"\"\"Tests for get_model_engine_raw_url function.\"\"\"\n\n    def test_get_model_engine_raw_url_with_path(self):\n        \"\"\"Test URL extraction with existing API path.\"\"\"\n        result = get_model_engine_raw_url(\n            \"https://test.example.com/open/router/v1/models\"\n        )\n        assert result == \"https://test.example.com\"\n\n    def test_get_model_engine_raw_url_without_path(self):\n        \"\"\"Test URL extraction without API path.\"\"\"\n        result = get_model_engine_raw_url(\"https://test.example.com\")\n        assert result == \"https://test.example.com\"\n\n    def test_get_model_engine_raw_url_with_trailing_slash(self):\n        \"\"\"Test URL extraction with trailing slash.\"\"\"\n        result = get_model_engine_raw_url(\"https://test.example.com/\")\n        assert result == \"https://test.example.com\"\n\n    def test_get_model_engine_raw_url_empty(self):\n        \"\"\"Test URL extraction with empty string.\"\"\"\n        result = get_model_engine_raw_url(\"\")\n        assert result == \"\"\n\n    def test_get_model_engine_raw_url_none(self):\n        \"\"\"Test URL extraction with None.\"\"\"\n        result = get_model_engine_raw_url(None)\n        assert result == \"\"\n"
  },
  {
    "path": "test/backend/services/providers/test_silicon_provider.py",
    "content": "\"\"\"Unit tests for SiliconModelProvider module.\n\nTests cover model fetching, type handling, and error handling.\n\"\"\"\n\nimport pytest\nfrom unittest.mock import MagicMock, AsyncMock, patch\nfrom pytest_mock import MockFixture\n\nimport httpx\n\nfrom backend.services.providers.silicon_provider import SiliconModelProvider\n\n\nclass TestSiliconModelProvider:\n    \"\"\"Tests for SiliconModelProvider class.\"\"\"\n\n    @pytest.mark.asyncio\n    async def test_get_models_llm_success(self, mocker: MockFixture):\n        \"\"\"Test successful model retrieval for LLM models.\"\"\"\n        mock_response = MagicMock()\n        mock_response.status_code = 200\n        mock_response.json.return_value = {\n            \"data\": [\n                {\"id\": \"gpt-4\", \"name\": \"GPT-4\"},\n                {\"id\": \"gpt-3.5-turbo\", \"name\": \"GPT-3.5 Turbo\"},\n            ]\n        }\n        mock_response.raise_for_status = MagicMock()\n\n        # Create mock client that works as async context manager\n        mock_client = AsyncMock()\n        mock_client.get.return_value = mock_response\n\n        # Create the context manager mock\n        mock_cm = MagicMock()\n        mock_cm.__aenter__ = AsyncMock(return_value=mock_client)\n        mock_cm.__aexit__ = AsyncMock(return_value=None)\n\n        mocker.patch(\n            \"backend.services.providers.silicon_provider.httpx.AsyncClient\",\n            return_value=mock_cm\n        )\n        mocker.patch(\n            \"backend.services.providers.silicon_provider.SILICON_GET_URL\",\n            \"https://api.siliconflow.com/v1/models\"\n        )\n\n        provider = SiliconModelProvider()\n        provider_config = {\n            \"model_type\": \"llm\",\n            \"api_key\": \"test-api-key\"\n        }\n\n        result = await provider.get_models(provider_config)\n\n        assert len(result) == 2\n        assert result[0][\"id\"] == \"gpt-4\"\n        assert result[0][\"model_type\"] == \"llm\"\n        assert result[0][\"model_tag\"] == \"chat\"\n\n    @pytest.mark.asyncio\n    async def test_get_models_vlm_success(self, mocker: MockFixture):\n        \"\"\"Test successful model retrieval for VLM models.\"\"\"\n        mock_response = MagicMock()\n        mock_response.status_code = 200\n        mock_response.json.return_value = {\n            \"data\": [\n                {\"id\": \"gpt-4v\", \"name\": \"GPT-4 Vision\"},\n            ]\n        }\n        mock_response.raise_for_status = MagicMock()\n\n        mock_client = AsyncMock()\n        mock_client.get.return_value = mock_response\n\n        mock_cm = MagicMock()\n        mock_cm.__aenter__ = AsyncMock(return_value=mock_client)\n        mock_cm.__aexit__ = AsyncMock(return_value=None)\n\n        mocker.patch(\n            \"backend.services.providers.silicon_provider.httpx.AsyncClient\",\n            return_value=mock_cm\n        )\n        mocker.patch(\n            \"backend.services.providers.silicon_provider.SILICON_GET_URL\",\n            \"https://api.siliconflow.com/v1/models\"\n        )\n\n        provider = SiliconModelProvider()\n        provider_config = {\n            \"model_type\": \"vlm\",\n            \"api_key\": \"test-api-key\"\n        }\n\n        result = await provider.get_models(provider_config)\n\n        assert len(result) == 1\n        assert result[0][\"id\"] == \"gpt-4v\"\n        assert result[0][\"model_type\"] == \"vlm\"\n        assert result[0][\"model_tag\"] == \"chat\"\n\n    @pytest.mark.asyncio\n    async def test_get_models_embedding_success(self, mocker: MockFixture):\n        \"\"\"Test successful model retrieval for embedding models.\"\"\"\n        mock_response = MagicMock()\n        mock_response.status_code = 200\n        mock_response.json.return_value = {\n            \"data\": [\n                {\"id\": \"text-embedding-ada-002\", \"name\": \"Text Embedding Ada 002\"},\n            ]\n        }\n        mock_response.raise_for_status = MagicMock()\n\n        mock_client = AsyncMock()\n        mock_client.get.return_value = mock_response\n\n        mock_cm = MagicMock()\n        mock_cm.__aenter__ = AsyncMock(return_value=mock_client)\n        mock_cm.__aexit__ = AsyncMock(return_value=None)\n\n        mocker.patch(\n            \"backend.services.providers.silicon_provider.httpx.AsyncClient\",\n            return_value=mock_cm\n        )\n        mocker.patch(\n            \"backend.services.providers.silicon_provider.SILICON_GET_URL\",\n            \"https://api.siliconflow.com/v1/models\"\n        )\n\n        provider = SiliconModelProvider()\n        provider_config = {\n            \"model_type\": \"embedding\",\n            \"api_key\": \"test-api-key\"\n        }\n\n        result = await provider.get_models(provider_config)\n\n        assert len(result) == 1\n        assert result[0][\"id\"] == \"text-embedding-ada-002\"\n        assert result[0][\"model_type\"] == \"embedding\"\n        assert result[0][\"model_tag\"] == \"embedding\"\n\n    @pytest.mark.asyncio\n    async def test_get_models_multi_embedding_success(self, mocker: MockFixture):\n        \"\"\"Test successful model retrieval for multi-embedding models.\"\"\"\n        mock_response = MagicMock()\n        mock_response.status_code = 200\n        mock_response.json.return_value = {\n            \"data\": [\n                {\"id\": \"bge-large\", \"name\": \"BGE Large\"},\n            ]\n        }\n        mock_response.raise_for_status = MagicMock()\n\n        mock_client = AsyncMock()\n        mock_client.get.return_value = mock_response\n\n        mock_cm = MagicMock()\n        mock_cm.__aenter__ = AsyncMock(return_value=mock_client)\n        mock_cm.__aexit__ = AsyncMock(return_value=None)\n\n        mocker.patch(\n            \"backend.services.providers.silicon_provider.httpx.AsyncClient\",\n            return_value=mock_cm\n        )\n        mocker.patch(\n            \"backend.services.providers.silicon_provider.SILICON_GET_URL\",\n            \"https://api.siliconflow.com/v1/models\"\n        )\n\n        provider = SiliconModelProvider()\n        provider_config = {\n            \"model_type\": \"multi_embedding\",\n            \"api_key\": \"test-api-key\"\n        }\n\n        result = await provider.get_models(provider_config)\n\n        assert len(result) == 1\n        assert result[0][\"id\"] == \"bge-large\"\n        assert result[0][\"model_type\"] == \"multi_embedding\"\n        assert result[0][\"model_tag\"] == \"embedding\"\n\n    @pytest.mark.asyncio\n    async def test_get_models_unknown_type(self, mocker: MockFixture):\n        \"\"\"Test model retrieval for unknown model types.\"\"\"\n        mock_response = MagicMock()\n        mock_response.status_code = 200\n        mock_response.json.return_value = {\n            \"data\": [\n                {\"id\": \"unknown-model\", \"name\": \"Unknown Model\"},\n            ]\n        }\n        mock_response.raise_for_status = MagicMock()\n\n        mock_client = AsyncMock()\n        mock_client.get.return_value = mock_response\n\n        mock_cm = MagicMock()\n        mock_cm.__aenter__ = AsyncMock(return_value=mock_client)\n        mock_cm.__aexit__ = AsyncMock(return_value=None)\n\n        mocker.patch(\n            \"backend.services.providers.silicon_provider.httpx.AsyncClient\",\n            return_value=mock_cm\n        )\n        mocker.patch(\n            \"backend.services.providers.silicon_provider.SILICON_GET_URL\",\n            \"https://api.siliconflow.com/v1/models\"\n        )\n\n        provider = SiliconModelProvider()\n        provider_config = {\n            \"model_type\": \"stt\",\n            \"api_key\": \"test-api-key\"\n        }\n\n        result = await provider.get_models(provider_config)\n\n        assert len(result) == 1\n        assert result[0][\"id\"] == \"unknown-model\"\n\n    @pytest.mark.asyncio\n    async def test_get_models_empty_response(self, mocker: MockFixture):\n        \"\"\"Test handling of empty model list from API.\"\"\"\n        mock_response = MagicMock()\n        mock_response.status_code = 200\n        mock_response.json.return_value = {\"data\": []}\n        mock_response.raise_for_status = MagicMock()\n\n        mock_client = AsyncMock()\n        mock_client.get.return_value = mock_response\n\n        mock_cm = MagicMock()\n        mock_cm.__aenter__ = AsyncMock(return_value=mock_client)\n        mock_cm.__aexit__ = AsyncMock(return_value=None)\n\n        mocker.patch(\n            \"backend.services.providers.silicon_provider.httpx.AsyncClient\",\n            return_value=mock_cm\n        )\n        mocker.patch(\n            \"backend.services.providers.silicon_provider.SILICON_GET_URL\",\n            \"https://api.siliconflow.com/v1/models\"\n        )\n\n        provider = SiliconModelProvider()\n        provider_config = {\n            \"model_type\": \"llm\",\n            \"api_key\": \"test-api-key\"\n        }\n\n        result = await provider.get_models(provider_config)\n\n        assert result == []\n\n    @pytest.mark.asyncio\n    async def test_get_models_http_error(self, mocker: MockFixture):\n        \"\"\"Test handling of HTTP error.\"\"\"\n        mock_client = AsyncMock()\n        mock_client.get.side_effect = httpx.HTTPStatusError(\n            \"Error\",\n            request=MagicMock(),\n            response=MagicMock(status_code=500)\n        )\n\n        mock_cm = MagicMock()\n        mock_cm.__aenter__ = AsyncMock(return_value=mock_client)\n        mock_cm.__aexit__ = AsyncMock(return_value=None)\n\n        mocker.patch(\n            \"backend.services.providers.silicon_provider.httpx.AsyncClient\",\n            return_value=mock_cm\n        )\n        mocker.patch(\n            \"backend.services.providers.silicon_provider.SILICON_GET_URL\",\n            \"https://api.siliconflow.com/v1/models\"\n        )\n\n        provider = SiliconModelProvider()\n        provider_config = {\n            \"model_type\": \"llm\",\n            \"api_key\": \"test-api-key\"\n        }\n\n        result = await provider.get_models(provider_config)\n\n        assert isinstance(result, list)\n        assert len(result) == 1\n        assert result[0][\"_error\"] == \"connection_failed\"\n\n    @pytest.mark.asyncio\n    async def test_get_models_connect_error(self, mocker: MockFixture):\n        \"\"\"Test handling of connection error.\"\"\"\n        mock_client = AsyncMock()\n        mock_client.get.side_effect = httpx.ConnectError(\"Connection failed\")\n\n        mock_cm = MagicMock()\n        mock_cm.__aenter__ = AsyncMock(return_value=mock_client)\n        mock_cm.__aexit__ = AsyncMock(return_value=None)\n\n        mocker.patch(\n            \"backend.services.providers.silicon_provider.httpx.AsyncClient\",\n            return_value=mock_cm\n        )\n        mocker.patch(\n            \"backend.services.providers.silicon_provider.SILICON_GET_URL\",\n            \"https://api.siliconflow.com/v1/models\"\n        )\n\n        provider = SiliconModelProvider()\n        provider_config = {\n            \"model_type\": \"llm\",\n            \"api_key\": \"test-api-key\"\n        }\n\n        result = await provider.get_models(provider_config)\n\n        assert isinstance(result, list)\n        assert len(result) == 1\n        assert result[0][\"_error\"] == \"connection_failed\"\n\n    @pytest.mark.asyncio\n    async def test_get_models_timeout(self, mocker: MockFixture):\n        \"\"\"Test handling of connection timeout.\"\"\"\n        mock_client = AsyncMock()\n        mock_client.get.side_effect = httpx.ConnectTimeout(\"Timeout\")\n\n        mock_cm = MagicMock()\n        mock_cm.__aenter__ = AsyncMock(return_value=mock_client)\n        mock_cm.__aexit__ = AsyncMock(return_value=None)\n\n        mocker.patch(\n            \"backend.services.providers.silicon_provider.httpx.AsyncClient\",\n            return_value=mock_cm\n        )\n        mocker.patch(\n            \"backend.services.providers.silicon_provider.SILICON_GET_URL\",\n            \"https://api.siliconflow.com/v1/models\"\n        )\n\n        provider = SiliconModelProvider()\n        provider_config = {\n            \"model_type\": \"llm\",\n            \"api_key\": \"test-api-key\"\n        }\n\n        result = await provider.get_models(provider_config)\n\n        assert isinstance(result, list)\n        assert len(result) == 1\n        assert result[0][\"_error\"] == \"connection_failed\"\n\n    @pytest.mark.asyncio\n    async def test_get_models_correct_url_for_llm(self, mocker: MockFixture):\n        \"\"\"Test that correct URL is used for LLM models.\"\"\"\n        mock_response = MagicMock()\n        mock_response.status_code = 200\n        mock_response.json.return_value = {\"data\": [{\"id\": \"test\"}]}\n        mock_response.raise_for_status = MagicMock()\n\n        mock_client = AsyncMock()\n        mock_client.get.return_value = mock_response\n\n        mock_cm = MagicMock()\n        mock_cm.__aenter__ = AsyncMock(return_value=mock_client)\n        mock_cm.__aexit__ = AsyncMock(return_value=None)\n\n        mocker.patch(\n            \"backend.services.providers.silicon_provider.httpx.AsyncClient\",\n            return_value=mock_cm\n        )\n        mocker.patch(\n            \"backend.services.providers.silicon_provider.SILICON_GET_URL\",\n            \"https://api.siliconflow.com/models\"\n        )\n\n        provider = SiliconModelProvider()\n        provider_config = {\n            \"model_type\": \"llm\",\n            \"api_key\": \"test-api-key\"\n        }\n\n        await provider.get_models(provider_config)\n\n        # Verify the URL contains sub_type=chat for LLM\n        call_args = mock_client.get.call_args\n        assert \"sub_type=chat\" in call_args[0][0]\n\n    @pytest.mark.asyncio\n    async def test_get_models_correct_url_for_embedding(self, mocker: MockFixture):\n        \"\"\"Test that correct URL is used for embedding models.\"\"\"\n        mock_response = MagicMock()\n        mock_response.status_code = 200\n        mock_response.json.return_value = {\"data\": [{\"id\": \"test\"}]}\n        mock_response.raise_for_status = MagicMock()\n\n        mock_client = AsyncMock()\n        mock_client.get.return_value = mock_response\n\n        mock_cm = MagicMock()\n        mock_cm.__aenter__ = AsyncMock(return_value=mock_client)\n        mock_cm.__aexit__ = AsyncMock(return_value=None)\n\n        mocker.patch(\n            \"backend.services.providers.silicon_provider.httpx.AsyncClient\",\n            return_value=mock_cm\n        )\n        mocker.patch(\n            \"backend.services.providers.silicon_provider.SILICON_GET_URL\",\n            \"https://api.siliconflow.com/models\"\n        )\n\n        provider = SiliconModelProvider()\n        provider_config = {\n            \"model_type\": \"embedding\",\n            \"api_key\": \"test-api-key\"\n        }\n\n        await provider.get_models(provider_config)\n\n        # Verify the URL contains sub_type=embedding for embedding\n        call_args = mock_client.get.call_args\n        assert \"sub_type=embedding\" in call_args[0][0]\n\n    @pytest.mark.asyncio\n    async def test_get_models_authorization_header(self, mocker: MockFixture):\n        \"\"\"Test that Authorization header is correctly set.\"\"\"\n        mock_response = MagicMock()\n        mock_response.status_code = 200\n        mock_response.json.return_value = {\"data\": [{\"id\": \"test\"}]}\n        mock_response.raise_for_status = MagicMock()\n\n        mock_client = AsyncMock()\n        mock_client.get.return_value = mock_response\n\n        mock_cm = MagicMock()\n        mock_cm.__aenter__ = AsyncMock(return_value=mock_client)\n        mock_cm.__aexit__ = AsyncMock(return_value=None)\n\n        mocker.patch(\n            \"backend.services.providers.silicon_provider.httpx.AsyncClient\",\n            return_value=mock_cm\n        )\n        mocker.patch(\n            \"backend.services.providers.silicon_provider.SILICON_GET_URL\",\n            \"https://api.siliconflow.com/models\"\n        )\n\n        provider = SiliconModelProvider()\n        provider_config = {\n            \"model_type\": \"llm\",\n            \"api_key\": \"my-secret-key\"\n        }\n\n        await provider.get_models(provider_config)\n\n        # Verify Authorization header\n        call_args = mock_client.get.call_args\n        headers = call_args[1][\"headers\"]\n        assert headers[\"Authorization\"] == \"Bearer my-secret-key\"\n\n    @pytest.mark.asyncio\n    async def test_get_models_llm_has_max_tokens(self, mocker: MockFixture):\n        \"\"\"Test that LLM models have max_tokens set.\"\"\"\n        mock_response = MagicMock()\n        mock_response.status_code = 200\n        mock_response.json.return_value = {\n            \"data\": [{\"id\": \"gpt-4\"}]\n        }\n        mock_response.raise_for_status = MagicMock()\n\n        mock_client = AsyncMock()\n        mock_client.get.return_value = mock_response\n\n        mock_cm = MagicMock()\n        mock_cm.__aenter__ = AsyncMock(return_value=mock_client)\n        mock_cm.__aexit__ = AsyncMock(return_value=None)\n\n        mocker.patch(\n            \"backend.services.providers.silicon_provider.httpx.AsyncClient\",\n            return_value=mock_cm\n        )\n        mocker.patch(\n            \"backend.services.providers.silicon_provider.SILICON_GET_URL\",\n            \"https://api.siliconflow.com/models\"\n        )\n        mocker.patch(\n            \"backend.services.providers.silicon_provider.DEFAULT_LLM_MAX_TOKENS\",\n            4096\n        )\n\n        provider = SiliconModelProvider()\n        provider_config = {\n            \"model_type\": \"llm\",\n            \"api_key\": \"test-key\"\n        }\n\n        result = await provider.get_models(provider_config)\n\n        assert len(result) == 1\n        assert result[0][\"max_tokens\"] == 4096\n"
  },
  {
    "path": "test/backend/services/providers/test_tokenpony_provider.py",
    "content": "\"\"\"Unit tests for TokenPonyModelProvider module.\n\nTests cover model fetching, type classification, and error handling.\n\"\"\"\n\nimport pytest\nfrom unittest.mock import MagicMock, AsyncMock, patch\nfrom pytest_mock import MockFixture\n\nimport httpx\n\nfrom backend.services.providers.tokenpony_provider import TokenPonyModelProvider\n\n\nclass TestTokenPonyModelProvider:\n    \"\"\"Tests for TokenPonyModelProvider class.\"\"\"\n\n    @pytest.mark.asyncio\n    async def test_get_models_llm_success(self, mocker: MockFixture):\n        \"\"\"Test successful model retrieval for LLM models.\"\"\"\n        mock_response = MagicMock()\n        mock_response.status_code = 200\n        mock_response.json.return_value = {\n            \"data\": [\n                {\n                    \"id\": \"gpt-4\",\n                    \"object\": \"model\",\n                    \"owned_by\": \"openai\"\n                },\n                {\n                    \"id\": \"claude-3-opus\",\n                    \"object\": \"model\",\n                    \"owned_by\": \"anthropic\"\n                }\n            ]\n        }\n        mock_response.raise_for_status = MagicMock()\n\n        mock_client = AsyncMock()\n        mock_client.get.return_value = mock_response\n\n        mock_cm = MagicMock()\n        mock_cm.__aenter__ = AsyncMock(return_value=mock_client)\n        mock_cm.__aexit__ = AsyncMock(return_value=None)\n\n        mocker.patch(\n            \"backend.services.providers.tokenpony_provider.httpx.AsyncClient\",\n            return_value=mock_cm\n        )\n        mocker.patch(\n            \"backend.services.providers.tokenpony_provider.TOKENPONY_GET_URL\",\n            \"https://api.tokenpony.cn/v1/models\"\n        )\n        mocker.patch(\n            \"backend.services.providers.tokenpony_provider.DEFAULT_LLM_MAX_TOKENS\",\n            4096\n        )\n\n        provider = TokenPonyModelProvider()\n        provider_config = {\n            \"model_type\": \"llm\",\n            \"api_key\": \"test-api-key\"\n        }\n\n        result = await provider.get_models(provider_config)\n\n        assert len(result) == 2\n        assert result[0][\"id\"] == \"gpt-4\"\n        assert result[0][\"model_type\"] == \"llm\"\n        assert result[0][\"model_tag\"] == \"chat\"\n        assert result[0][\"max_tokens\"] == 4096\n\n    @pytest.mark.asyncio\n    async def test_get_models_embedding_success(self, mocker: MockFixture):\n        \"\"\"Test successful model retrieval for embedding models.\"\"\"\n        mock_response = MagicMock()\n        mock_response.status_code = 200\n        mock_response.json.return_value = {\n            \"data\": [\n                {\n                    \"id\": \"text-embedding-ada-002\",\n                    \"object\": \"model\",\n                    \"owned_by\": \"openai\"\n                }\n            ]\n        }\n        mock_response.raise_for_status = MagicMock()\n\n        mock_client = AsyncMock()\n        mock_client.get.return_value = mock_response\n\n        mock_cm = MagicMock()\n        mock_cm.__aenter__ = AsyncMock(return_value=mock_client)\n        mock_cm.__aexit__ = AsyncMock(return_value=None)\n\n        mocker.patch(\n            \"backend.services.providers.tokenpony_provider.httpx.AsyncClient\",\n            return_value=mock_cm\n        )\n        mocker.patch(\n            \"backend.services.providers.tokenpony_provider.TOKENPONY_GET_URL\",\n            \"https://api.tokenpony.cn/v1/models\"\n        )\n\n        provider = TokenPonyModelProvider()\n        provider_config = {\n            \"model_type\": \"embedding\",\n            \"api_key\": \"test-api-key\"\n        }\n\n        result = await provider.get_models(provider_config)\n\n        assert len(result) == 1\n        assert result[0][\"id\"] == \"text-embedding-ada-002\"\n        assert result[0][\"model_type\"] == \"embedding\"\n        assert result[0][\"model_tag\"] == \"embedding\"\n\n    @pytest.mark.asyncio\n    async def test_get_models_vlm_success(self, mocker: MockFixture):\n        \"\"\"Test successful model retrieval for VLM models.\"\"\"\n        mock_response = MagicMock()\n        mock_response.status_code = 200\n        mock_response.json.return_value = {\n            \"data\": [\n                {\n                    \"id\": \"qwen-vl-plus\",\n                    \"object\": \"model\",\n                    \"owned_by\": \"qwen\"\n                }\n            ]\n        }\n        mock_response.raise_for_status = MagicMock()\n\n        mock_client = AsyncMock()\n        mock_client.get.return_value = mock_response\n\n        mock_cm = MagicMock()\n        mock_cm.__aenter__ = AsyncMock(return_value=mock_client)\n        mock_cm.__aexit__ = AsyncMock(return_value=None)\n\n        mocker.patch(\n            \"backend.services.providers.tokenpony_provider.httpx.AsyncClient\",\n            return_value=mock_cm\n        )\n        mocker.patch(\n            \"backend.services.providers.tokenpony_provider.TOKENPONY_GET_URL\",\n            \"https://api.tokenpony.cn/v1/models\"\n        )\n\n        provider = TokenPonyModelProvider()\n        provider_config = {\n            \"model_type\": \"vlm\",\n            \"api_key\": \"test-api-key\"\n        }\n\n        result = await provider.get_models(provider_config)\n\n        assert len(result) == 1\n        assert result[0][\"id\"] == \"qwen-vl-plus\"\n        assert result[0][\"model_type\"] == \"vlm\"\n        assert result[0][\"model_tag\"] == \"chat\"\n\n    @pytest.mark.asyncio\n    async def test_get_models_reranker_success(self, mocker: MockFixture):\n        \"\"\"Test successful model retrieval for reranker models.\"\"\"\n        mock_response = MagicMock()\n        mock_response.status_code = 200\n        mock_response.json.return_value = {\n            \"data\": [\n                {\n                    \"id\": \"gte-reranker-base\",\n                    \"object\": \"model\",\n                    \"owned_by\": \"gte\"\n                }\n            ]\n        }\n        mock_response.raise_for_status = MagicMock()\n\n        mock_client = AsyncMock()\n        mock_client.get.return_value = mock_response\n\n        mock_cm = MagicMock()\n        mock_cm.__aenter__ = AsyncMock(return_value=mock_client)\n        mock_cm.__aexit__ = AsyncMock(return_value=None)\n\n        mocker.patch(\n            \"backend.services.providers.tokenpony_provider.httpx.AsyncClient\",\n            return_value=mock_cm\n        )\n        mocker.patch(\n            \"backend.services.providers.tokenpony_provider.TOKENPONY_GET_URL\",\n            \"https://api.tokenpony.cn/v1/models\"\n        )\n\n        provider = TokenPonyModelProvider()\n        provider_config = {\n            \"model_type\": \"reranker\",\n            \"api_key\": \"test-api-key\"\n        }\n\n        result = await provider.get_models(provider_config)\n\n        assert len(result) == 1\n        assert result[0][\"id\"] == \"gte-reranker-base\"\n        assert result[0][\"model_type\"] == \"reranker\"\n        assert result[0][\"model_tag\"] == \"reranker\"\n\n    @pytest.mark.asyncio\n    async def test_get_models_tts_success(self, mocker: MockFixture):\n        \"\"\"Test successful model retrieval for TTS models.\"\"\"\n        mock_response = MagicMock()\n        mock_response.status_code = 200\n        mock_response.json.return_value = {\n            \"data\": [\n                {\n                    \"id\": \"tts-1-hd\",\n                    \"object\": \"model\",\n                    \"owned_by\": \"openai\"\n                }\n            ]\n        }\n        mock_response.raise_for_status = MagicMock()\n\n        mock_client = AsyncMock()\n        mock_client.get.return_value = mock_response\n\n        mock_cm = MagicMock()\n        mock_cm.__aenter__ = AsyncMock(return_value=mock_client)\n        mock_cm.__aexit__ = AsyncMock(return_value=None)\n\n        mocker.patch(\n            \"backend.services.providers.tokenpony_provider.httpx.AsyncClient\",\n            return_value=mock_cm\n        )\n        mocker.patch(\n            \"backend.services.providers.tokenpony_provider.TOKENPONY_GET_URL\",\n            \"https://api.tokenpony.cn/v1/models\"\n        )\n\n        provider = TokenPonyModelProvider()\n        provider_config = {\n            \"model_type\": \"tts\",\n            \"api_key\": \"test-api-key\"\n        }\n\n        result = await provider.get_models(provider_config)\n\n        assert len(result) == 1\n        assert result[0][\"id\"] == \"tts-1-hd\"\n        assert result[0][\"model_type\"] == \"tts\"\n        assert result[0][\"model_tag\"] == \"tts\"\n\n    @pytest.mark.asyncio\n    async def test_get_models_stt_success(self, mocker: MockFixture):\n        \"\"\"Test successful model retrieval for STT models.\"\"\"\n        mock_response = MagicMock()\n        mock_response.status_code = 200\n        mock_response.json.return_value = {\n            \"data\": [\n                {\n                    \"id\": \"stt-whisper-1\",\n                    \"object\": \"model\",\n                    \"owned_by\": \"openai\"\n                }\n            ]\n        }\n        mock_response.raise_for_status = MagicMock()\n\n        mock_client = AsyncMock()\n        mock_client.get.return_value = mock_response\n\n        mock_cm = MagicMock()\n        mock_cm.__aenter__ = AsyncMock(return_value=mock_client)\n        mock_cm.__aexit__ = AsyncMock(return_value=None)\n\n        mocker.patch(\n            \"backend.services.providers.tokenpony_provider.httpx.AsyncClient\",\n            return_value=mock_cm\n        )\n        mocker.patch(\n            \"backend.services.providers.tokenpony_provider.TOKENPONY_GET_URL\",\n            \"https://api.tokenpony.cn/v1/models\"\n        )\n\n        provider = TokenPonyModelProvider()\n        provider_config = {\n            \"model_type\": \"stt\",\n            \"api_key\": \"test-api-key\"\n        }\n\n        result = await provider.get_models(provider_config)\n\n        assert len(result) == 1\n        assert result[0][\"id\"] == \"stt-whisper-1\"\n        assert result[0][\"model_type\"] == \"stt\"\n        assert result[0][\"model_tag\"] == \"stt\"\n\n    @pytest.mark.asyncio\n    async def test_get_models_multi_embedding_success(self, mocker: MockFixture):\n        \"\"\"Test successful model retrieval for multi-embedding models.\"\"\"\n        mock_response = MagicMock()\n        mock_response.status_code = 200\n        mock_response.json.return_value = {\n            \"data\": [\n                {\n                    \"id\": \"bge-large\",\n                    \"object\": \"model\",\n                    \"owned_by\": \"bge\"\n                }\n            ]\n        }\n        mock_response.raise_for_status = MagicMock()\n\n        mock_client = AsyncMock()\n        mock_client.get.return_value = mock_response\n\n        mock_cm = MagicMock()\n        mock_cm.__aenter__ = AsyncMock(return_value=mock_client)\n        mock_cm.__aexit__ = AsyncMock(return_value=None)\n\n        mocker.patch(\n            \"backend.services.providers.tokenpony_provider.httpx.AsyncClient\",\n            return_value=mock_cm\n        )\n        mocker.patch(\n            \"backend.services.providers.tokenpony_provider.TOKENPONY_GET_URL\",\n            \"https://api.tokenpony.cn/v1/models\"\n        )\n\n        provider = TokenPonyModelProvider()\n        provider_config = {\n            \"model_type\": \"multi_embedding\",\n            \"api_key\": \"test-api-key\"\n        }\n\n        result = await provider.get_models(provider_config)\n\n        assert len(result) == 1\n        assert result[0][\"id\"] == \"bge-large\"\n        assert result[0][\"model_type\"] == \"embedding\"\n\n    @pytest.mark.asyncio\n    async def test_get_models_empty_response(self, mocker: MockFixture):\n        \"\"\"Test handling of empty model list from API.\"\"\"\n        mock_response = MagicMock()\n        mock_response.status_code = 200\n        mock_response.json.return_value = {\"data\": []}\n        mock_response.raise_for_status = MagicMock()\n\n        mock_client = AsyncMock()\n        mock_client.get.return_value = mock_response\n\n        mock_cm = MagicMock()\n        mock_cm.__aenter__ = AsyncMock(return_value=mock_client)\n        mock_cm.__aexit__ = AsyncMock(return_value=None)\n\n        mocker.patch(\n            \"backend.services.providers.tokenpony_provider.httpx.AsyncClient\",\n            return_value=mock_cm\n        )\n        mocker.patch(\n            \"backend.services.providers.tokenpony_provider.TOKENPONY_GET_URL\",\n            \"https://api.tokenpony.cn/v1/models\"\n        )\n\n        provider = TokenPonyModelProvider()\n        provider_config = {\n            \"model_type\": \"llm\",\n            \"api_key\": \"test-api-key\"\n        }\n\n        result = await provider.get_models(provider_config)\n\n        assert result == []\n\n    @pytest.mark.asyncio\n    async def test_get_models_http_error(self, mocker: MockFixture):\n        \"\"\"Test handling of HTTP error.\"\"\"\n        mock_client = AsyncMock()\n        mock_client.get.side_effect = httpx.HTTPStatusError(\n            \"Error\",\n            request=MagicMock(),\n            response=MagicMock(status_code=500)\n        )\n\n        mock_cm = MagicMock()\n        mock_cm.__aenter__ = AsyncMock(return_value=mock_client)\n        mock_cm.__aexit__ = AsyncMock(return_value=None)\n\n        mocker.patch(\n            \"backend.services.providers.tokenpony_provider.httpx.AsyncClient\",\n            return_value=mock_cm\n        )\n        mocker.patch(\n            \"backend.services.providers.tokenpony_provider.TOKENPONY_GET_URL\",\n            \"https://api.tokenpony.cn/v1/models\"\n        )\n\n        provider = TokenPonyModelProvider()\n        provider_config = {\n            \"model_type\": \"llm\",\n            \"api_key\": \"test-api-key\"\n        }\n\n        result = await provider.get_models(provider_config)\n\n        assert isinstance(result, list)\n        assert len(result) == 1\n        assert result[0][\"_error\"] == \"connection_failed\"\n\n    @pytest.mark.asyncio\n    async def test_get_models_connect_error(self, mocker: MockFixture):\n        \"\"\"Test handling of connection error.\"\"\"\n        mock_client = AsyncMock()\n        mock_client.get.side_effect = httpx.ConnectError(\"Connection failed\")\n\n        mock_cm = MagicMock()\n        mock_cm.__aenter__ = AsyncMock(return_value=mock_client)\n        mock_cm.__aexit__ = AsyncMock(return_value=None)\n\n        mocker.patch(\n            \"backend.services.providers.tokenpony_provider.httpx.AsyncClient\",\n            return_value=mock_cm\n        )\n        mocker.patch(\n            \"backend.services.providers.tokenpony_provider.TOKENPONY_GET_URL\",\n            \"https://api.tokenpony.cn/v1/models\"\n        )\n\n        provider = TokenPonyModelProvider()\n        provider_config = {\n            \"model_type\": \"llm\",\n            \"api_key\": \"test-api-key\"\n        }\n\n        result = await provider.get_models(provider_config)\n\n        assert isinstance(result, list)\n        assert len(result) == 1\n        assert result[0][\"_error\"] == \"connection_failed\"\n\n    @pytest.mark.asyncio\n    async def test_get_models_timeout(self, mocker: MockFixture):\n        \"\"\"Test handling of connection timeout.\"\"\"\n        mock_client = AsyncMock()\n        mock_client.get.side_effect = httpx.ConnectTimeout(\"Timeout\")\n\n        mock_cm = MagicMock()\n        mock_cm.__aenter__ = AsyncMock(return_value=mock_client)\n        mock_cm.__aexit__ = AsyncMock(return_value=None)\n\n        mocker.patch(\n            \"backend.services.providers.tokenpony_provider.httpx.AsyncClient\",\n            return_value=mock_cm\n        )\n        mocker.patch(\n            \"backend.services.providers.tokenpony_provider.TOKENPONY_GET_URL\",\n            \"https://api.tokenpony.cn/v1/models\"\n        )\n\n        provider = TokenPonyModelProvider()\n        provider_config = {\n            \"model_type\": \"llm\",\n            \"api_key\": \"test-api-key\"\n        }\n\n        result = await provider.get_models(provider_config)\n\n        assert isinstance(result, list)\n        assert len(result) == 1\n        assert result[0][\"_error\"] == \"connection_failed\"\n\n    @pytest.mark.asyncio\n    async def test_get_models_authorization_header(self, mocker: MockFixture):\n        \"\"\"Test that Authorization header is correctly set.\"\"\"\n        mock_response = MagicMock()\n        mock_response.status_code = 200\n        mock_response.json.return_value = {\n            \"data\": [\n                {\n                    \"id\": \"gpt-4\",\n                    \"object\": \"model\",\n                    \"owned_by\": \"openai\"\n                }\n            ]\n        }\n        mock_response.raise_for_status = MagicMock()\n\n        mock_client = AsyncMock()\n        mock_client.get.return_value = mock_response\n\n        mock_cm = MagicMock()\n        mock_cm.__aenter__ = AsyncMock(return_value=mock_client)\n        mock_cm.__aexit__ = AsyncMock(return_value=None)\n\n        mocker.patch(\n            \"backend.services.providers.tokenpony_provider.httpx.AsyncClient\",\n            return_value=mock_cm\n        )\n        mocker.patch(\n            \"backend.services.providers.tokenpony_provider.TOKENPONY_GET_URL\",\n            \"https://api.tokenpony.cn/v1/models\"\n        )\n\n        provider = TokenPonyModelProvider()\n        provider_config = {\n            \"model_type\": \"llm\",\n            \"api_key\": \"my-secret-key\"\n        }\n\n        await provider.get_models(provider_config)\n\n        # Verify Authorization header\n        call_args = mock_client.get.call_args\n        headers = call_args[1][\"headers\"]\n        assert headers[\"Authorization\"] == \"Bearer my-secret-key\"\n\n    @pytest.mark.asyncio\n    async def test_get_models_unknown_type_returns_empty(self, mocker: MockFixture):\n        \"\"\"Test that unknown model type returns empty list.\"\"\"\n        mock_response = MagicMock()\n        mock_response.status_code = 200\n        mock_response.json.return_value = {\n            \"data\": [\n                {\n                    \"id\": \"gpt-4\",\n                    \"object\": \"model\",\n                    \"owned_by\": \"openai\"\n                }\n            ]\n        }\n        mock_response.raise_for_status = MagicMock()\n\n        mock_client = AsyncMock()\n        mock_client.get.return_value = mock_response\n\n        mock_cm = MagicMock()\n        mock_cm.__aenter__ = AsyncMock(return_value=mock_client)\n        mock_cm.__aexit__ = AsyncMock(return_value=None)\n\n        mocker.patch(\n            \"backend.services.providers.tokenpony_provider.httpx.AsyncClient\",\n            return_value=mock_cm\n        )\n        mocker.patch(\n            \"backend.services.providers.tokenpony_provider.TOKENPONY_GET_URL\",\n            \"https://api.tokenpony.cn/v1/models\"\n        )\n\n        provider = TokenPonyModelProvider()\n        provider_config = {\n            \"model_type\": \"unknown_type\",\n            \"api_key\": \"test-api-key\"\n        }\n\n        result = await provider.get_models(provider_config)\n\n        assert result == []\n\n    @pytest.mark.asyncio\n    async def test_get_models_vlm_by_keyword(self, mocker: MockFixture):\n        \"\"\"Test VLM classification by keywords like -vl, vl-, ocr, vision.\"\"\"\n        mock_response = MagicMock()\n        mock_response.status_code = 200\n        mock_response.json.return_value = {\n            \"data\": [\n                {\n                    \"id\": \"qwen-vl-plus\",\n                    \"object\": \"model\",\n                    \"owned_by\": \"qwen\"\n                },\n                {\n                    \"id\": \"vl-ocr-v1\",\n                    \"object\": \"model\",\n                    \"owned_by\": \"ocr\"\n                },\n                {\n                    \"id\": \"vision-model-v2\",\n                    \"object\": \"model\",\n                    \"owned_by\": \"vision\"\n                }\n            ]\n        }\n        mock_response.raise_for_status = MagicMock()\n\n        mock_client = AsyncMock()\n        mock_client.get.return_value = mock_response\n\n        mock_cm = MagicMock()\n        mock_cm.__aenter__ = AsyncMock(return_value=mock_client)\n        mock_cm.__aexit__ = AsyncMock(return_value=None)\n\n        mocker.patch(\n            \"backend.services.providers.tokenpony_provider.httpx.AsyncClient\",\n            return_value=mock_cm\n        )\n        mocker.patch(\n            \"backend.services.providers.tokenpony_provider.TOKENPONY_GET_URL\",\n            \"https://api.tokenpony.cn/v1/models\"\n        )\n\n        provider = TokenPonyModelProvider()\n        provider_config = {\n            \"model_type\": \"vlm\",\n            \"api_key\": \"test-api-key\"\n        }\n\n        result = await provider.get_models(provider_config)\n\n        assert len(result) == 3\n        for model in result:\n            assert model[\"model_type\"] == \"vlm\"\n            assert model[\"model_tag\"] == \"chat\"\n\n    @pytest.mark.asyncio\n    async def test_get_models_bge_prefix_embedding(self, mocker: MockFixture):\n        \"\"\"Test that models with bge- prefix are classified as embedding.\"\"\"\n        mock_response = MagicMock()\n        mock_response.status_code = 200\n        mock_response.json.return_value = {\n            \"data\": [\n                {\n                    \"id\": \"bge-large-zh-v1.5\",\n                    \"object\": \"model\",\n                    \"owned_by\": \"bge\"\n                },\n                {\n                    \"id\": \"bge-base-en-v1.5\",\n                    \"object\": \"model\",\n                    \"owned_by\": \"bge\"\n                }\n            ]\n        }\n        mock_response.raise_for_status = MagicMock()\n\n        mock_client = AsyncMock()\n        mock_client.get.return_value = mock_response\n\n        mock_cm = MagicMock()\n        mock_cm.__aenter__ = AsyncMock(return_value=mock_client)\n        mock_cm.__aexit__ = AsyncMock(return_value=None)\n\n        mocker.patch(\n            \"backend.services.providers.tokenpony_provider.httpx.AsyncClient\",\n            return_value=mock_cm\n        )\n        mocker.patch(\n            \"backend.services.providers.tokenpony_provider.TOKENPONY_GET_URL\",\n            \"https://api.tokenpony.cn/v1/models\"\n        )\n\n        provider = TokenPonyModelProvider()\n        provider_config = {\n            \"model_type\": \"embedding\",\n            \"api_key\": \"test-api-key\"\n        }\n\n        result = await provider.get_models(provider_config)\n\n        assert len(result) == 2\n        for model in result:\n            assert model[\"model_type\"] == \"embedding\"\n            assert model[\"model_tag\"] == \"embedding\"\n\n    @pytest.mark.asyncio\n    async def test_get_models_llm_has_max_tokens(self, mocker: MockFixture):\n        \"\"\"Test that LLM models have max_tokens set.\"\"\"\n        mock_response = MagicMock()\n        mock_response.status_code = 200\n        mock_response.json.return_value = {\n            \"data\": [\n                {\n                    \"id\": \"gpt-4\",\n                    \"object\": \"model\",\n                    \"owned_by\": \"openai\"\n                }\n            ]\n        }\n        mock_response.raise_for_status = MagicMock()\n\n        mock_client = AsyncMock()\n        mock_client.get.return_value = mock_response\n\n        mock_cm = MagicMock()\n        mock_cm.__aenter__ = AsyncMock(return_value=mock_client)\n        mock_cm.__aexit__ = AsyncMock(return_value=None)\n\n        mocker.patch(\n            \"backend.services.providers.tokenpony_provider.httpx.AsyncClient\",\n            return_value=mock_cm\n        )\n        mocker.patch(\n            \"backend.services.providers.tokenpony_provider.TOKENPONY_GET_URL\",\n            \"https://api.tokenpony.cn/v1/models\"\n        )\n        mocker.patch(\n            \"backend.services.providers.tokenpony_provider.DEFAULT_LLM_MAX_TOKENS\",\n            4096\n        )\n\n        provider = TokenPonyModelProvider()\n        provider_config = {\n            \"model_type\": \"llm\",\n            \"api_key\": \"test-key\"\n        }\n\n        result = await provider.get_models(provider_config)\n\n        assert len(result) == 1\n        assert result[0][\"max_tokens\"] == 4096\n\n"
  },
  {
    "path": "test/backend/services/test_agent_service.py",
    "content": "import sys\nimport asyncio\nimport json\nfrom contextlib import contextmanager\nfrom unittest.mock import patch, MagicMock, mock_open, call, Mock, AsyncMock\nimport os\n\nimport pytest\nfrom fastapi.responses import StreamingResponse\nfrom fastapi import Request\nfrom nexent.core.agents.agent_model import ToolConfig\n\nfrom backend.consts.model import (\n    AgentNameBatchCheckItem,\n    AgentNameBatchCheckRequest,\n    AgentNameBatchRegenerateItem,\n    AgentNameBatchRegenerateRequest,\n)\n\n\n# Patch environment variables before any imports that might use them\n# Environment variables are now configured in conftest.py\n\n# Mock boto3 before importing the module under test\nboto3_mock = MagicMock()\nsys.modules['boto3'] = boto3_mock\n\n# Patch storage factory and MinIO config validation to avoid errors during initialization\n# These patches must be started before any imports that use MinioClient\nstorage_client_mock = MagicMock()\nminio_client_mock = MagicMock()\npatch('nexent.storage.storage_client_factory.create_storage_client_from_config', return_value=storage_client_mock).start()\npatch('nexent.storage.minio_config.MinIOStorageConfig.validate', lambda self: None).start()\npatch('backend.database.client.MinioClient', return_value=minio_client_mock).start()\n\n# Mock external dependencies before importing backend modules that might initialize them\n# Mock create_engine to prevent database connection attempts\nmock_engine = MagicMock()\nmock_session_maker = MagicMock()\nmock_db_session = MagicMock()\nmock_session_maker.return_value = mock_db_session\n\n# Mock PostgresClient to prevent database connection attempts\n# Create a mock class that returns the same instance (singleton pattern)\nmock_postgres_client = MagicMock()\nmock_postgres_client.session_maker = mock_session_maker\nmock_postgres_client_class = MagicMock(return_value=mock_postgres_client)\n\n# Mock get_db_session context manager - create a proper context manager mock\ndef mock_get_db_session(db_session=None):\n    session = mock_db_session if db_session is None else db_session\n    @contextmanager\n    def _mock_context():\n        yield session\n    return _mock_context()\n\nwith patch('sqlalchemy.create_engine', return_value=mock_engine), \\\n     patch('backend.database.client.PostgresClient', new=mock_postgres_client_class), \\\n     patch('backend.database.client.get_db_session', side_effect=mock_get_db_session), \\\n     patch('backend.database.client.MinioClient', return_value=minio_client_mock) as minio_mock, \\\n     patch('elasticsearch.Elasticsearch', return_value=MagicMock()) as es_mock:\n\n    import backend.services.agent_service as agent_service\n    from backend.services.agent_service import update_agent_info_impl\n    from backend.services.agent_service import get_creating_sub_agent_info_impl\n    from backend.services.agent_service import list_all_agent_info_impl\n    from backend.services.agent_service import get_agent_info_impl\n    from backend.services.agent_service import get_creating_sub_agent_id_service\n    from backend.services.agent_service import get_enable_tool_id_by_agent_id\n    from backend.services.agent_service import (\n        get_agent_call_relationship_impl,\n        delete_agent_impl,\n        export_agent_impl,\n        export_agent_by_agent_id,\n        import_agent_by_agent_id,\n        insert_related_agent_impl,\n        load_default_agents_json_file,\n        clear_agent_memory,\n        import_agent_impl,\n        get_agent_id_by_name,\n        save_messages,\n        prepare_agent_run,\n        run_agent_stream,\n        stop_agent_tasks,\n        _resolve_user_tenant_language,\n        _apply_duplicate_name_availability_rules,\n        _check_single_model_availability,\n        _normalize_language_key,\n        _render_prompt_template,\n        _format_existing_values,\n        _generate_unique_agent_name_with_suffix,\n        _generate_unique_display_name_with_suffix,\n        _generate_unique_value_with_suffix,\n        _regenerate_agent_value_with_llm,\n        clear_agent_new_mark_impl,\n    )\n    from consts.model import ExportAndImportAgentInfo, ExportAndImportDataFormat, MCPInfo, AgentRequest\n\n    # Ensure db_client is set to our mock after import\n    import backend.database.client as db_client_module\n    db_client_module.db_client = mock_postgres_client\n\n# Mock Elasticsearch (already done in the import section above, but keeping for reference)\nelasticsearch_client_mock = MagicMock()\n\n\n# Mock memory-related modules\nnexent_mock = MagicMock()\nsys.modules['nexent'] = nexent_mock\nsys.modules['nexent.core'] = MagicMock()\nsys.modules['nexent.core.agents'] = MagicMock()\n# Don't mock agent_model yet, we need to import ToolConfig first\nsys.modules['nexent.memory'] = MagicMock()\nsys.modules['nexent.memory.memory_service'] = MagicMock()\n\n# Mock monitoring modules\nmonitoring_manager_mock = MagicMock()\n\n# Define a decorator that simply returns the original function unchanged\n\n\ndef pass_through_decorator(*args, **kwargs):\n    def decorator(func):\n        return func\n    return decorator\n\n\nmonitoring_manager_mock.monitor_endpoint = pass_through_decorator\nmonitoring_manager_mock.monitor_llm_call = pass_through_decorator\nmonitoring_manager_mock.setup_fastapi_app = MagicMock(return_value=True)\nmonitoring_manager_mock.configure = MagicMock()\nmonitoring_manager_mock.add_span_event = MagicMock()\nmonitoring_manager_mock.set_span_attributes = MagicMock()\n\n# Mock nexent.monitor modules\nsys.modules['nexent.monitor'] = MagicMock()\nsys.modules['nexent.monitor.monitoring'] = MagicMock()\nsys.modules['nexent.monitor'].get_monitoring_manager = lambda: monitoring_manager_mock\nsys.modules['nexent.monitor'].monitoring_manager = monitoring_manager_mock\n\n# Mock other dependencies\nsys.modules['agents'] = MagicMock()\nsys.modules['agents.create_agent_info'] = MagicMock()\nsys.modules['database'] = MagicMock()\nsys.modules['database.agent_db'] = MagicMock()\nsys.modules['database.tool_db'] = MagicMock()\nsys.modules['database.remote_mcp_db'] = MagicMock()\nsys.modules['services'] = MagicMock()\nsys.modules['services.remote_mcp_service'] = MagicMock()\nsys.modules['services.tool_configuration_service'] = MagicMock()\nsys.modules['services.conversation_management_service'] = MagicMock()\nsys.modules['services.memory_config_service'] = MagicMock()\nsys.modules['utils'] = MagicMock()\nsys.modules['utils.auth_utils'] = MagicMock()\nsys.modules['utils.memory_utils'] = MagicMock()\nsys.modules['utils.thread_utils'] = MagicMock()\n# Mock utils.monitoring to return our monitoring_manager_mock\nutils_monitoring_mock = MagicMock()\nutils_monitoring_mock.monitoring_manager = monitoring_manager_mock\nutils_monitoring_mock.setup_fastapi_app = MagicMock(return_value=True)\nsys.modules['utils.monitoring'] = utils_monitoring_mock\nsys.modules['agents.agent_run_manager'] = MagicMock()\nsys.modules['agents.preprocess_manager'] = MagicMock()\nsys.modules['nexent.core.agents.run_agent'] = MagicMock()\n\n\noriginal_agent_model = sys.modules['nexent.core.agents.agent_model']\nsys.modules['nexent.core.agents.agent_model'] = MagicMock()\n\n# Mock specific classes that might be imported\nMemoryContext = MagicMock()\nMemoryUserConfig = MagicMock()\nsys.modules['nexent.core.agents.agent_model'].MemoryContext = MemoryContext\nsys.modules['nexent.core.agents.agent_model'].MemoryUserConfig = MemoryUserConfig\nsys.modules['nexent.core.agents.agent_model'].ToolConfig = ToolConfig\n\n\n# Setup and teardown for each test\n@pytest.fixture(autouse=True)\ndef reset_mocks():\n    \"\"\"Reset all mocks before each test to ensure a clean test environment.\"\"\"\n    yield\n\n\n@pytest.mark.asyncio\nasync def test_get_enable_tool_id_by_agent_id():\n    \"\"\"\n    Test the function that retrieves enabled tool IDs for a specific agent.\n\n    This test verifies that:\n    1. The function correctly filters and returns only enabled tool IDs\n    2. The underlying query function is called with correct parameters\n    \"\"\"\n    # Setup\n    mock_tool_instances = [\n        {\"tool_id\": 1, \"enabled\": True},\n        {\"tool_id\": 2, \"enabled\": False},\n        {\"tool_id\": 3, \"enabled\": True},\n        {\"tool_id\": 4, \"enabled\": True}\n    ]\n\n    with patch('backend.services.agent_service.query_all_enabled_tool_instances') as mock_query:\n        mock_query.return_value = mock_tool_instances\n\n        # Execute\n        result = get_enable_tool_id_by_agent_id(\n            agent_id=123,\n            tenant_id=\"test_tenant\"\n        )\n\n        # Assert\n        assert sorted(result) == [1, 3, 4]\n        mock_query.assert_called_once_with(\n            agent_id=123,\n            tenant_id=\"test_tenant\"\n        )\n\n\n@patch('backend.services.agent_service.create_agent')\n@patch('backend.services.agent_service.search_blank_sub_agent_by_main_agent_id')\n@pytest.mark.asyncio\nasync def test_get_creating_sub_agent_id_service_existing_agent(mock_search, mock_create):\n    \"\"\"\n    Test retrieving an existing sub-agent ID associated with a main agent.\n\n    This test verifies that when a sub-agent already exists for a main agent:\n    1. The function returns the existing sub-agent ID\n    2. No new agent is created (create_agent is not called)\n    \"\"\"\n    # Setup - existing sub agent found\n    mock_search.return_value = 456\n\n    # Execute\n    result = await get_creating_sub_agent_id_service(\n        tenant_id=\"test_tenant\",\n        user_id=\"test_user\"\n    )\n\n    # Assert\n    assert result == 456\n    mock_search.assert_called_once_with(tenant_id=\"test_tenant\")\n    mock_create.assert_not_called()\n\n\n@patch('backend.services.agent_service.create_agent')\n@patch('backend.services.agent_service.search_blank_sub_agent_by_main_agent_id')\n@pytest.mark.asyncio\nasync def test_get_creating_sub_agent_id_service_new_agent(mock_search, mock_create):\n    \"\"\"\n    Test creating a new sub-agent when none exists for a main agent.\n\n    This test verifies that when no sub-agent exists for a main agent:\n    1. A new agent is created with appropriate parameters\n    2. The function returns the newly created agent's ID\n    \"\"\"\n    # Setup - no existing sub agent found\n    mock_search.return_value = None\n    mock_create.return_value = {\"agent_id\": 789}\n\n    # Execute\n    result = await get_creating_sub_agent_id_service(\n        tenant_id=\"test_tenant\",\n        user_id=\"test_user\"\n    )\n\n    # Assert\n    assert result == 789\n    mock_search.assert_called_once_with(tenant_id=\"test_tenant\")\n    mock_create.assert_called_once_with(\n        agent_info={\"enabled\": False},\n        tenant_id=\"test_tenant\",\n        user_id=\"test_user\"\n    )\n\n\n@patch('backend.services.agent_service.check_agent_availability')\n@patch('backend.services.agent_service.get_model_by_model_id')\n@patch('backend.services.agent_service.query_sub_agents_id_list')\n@patch('backend.services.agent_service.search_tools_for_sub_agent')\n@patch('backend.services.agent_service.search_agent_info_by_agent_id')\n@pytest.mark.asyncio\nasync def test_get_agent_info_impl_success(mock_search_agent_info, mock_search_tools, mock_query_sub_agents_id, mock_get_model_by_model_id, mock_check_availability):\n    \"\"\"\n    Test successful retrieval of an agent's information by ID.\n\n    This test verifies that:\n    1. The function correctly retrieves the agent's basic information\n    2. It fetches the associated tools\n    3. It gets the sub-agent ID list\n    4. It returns a complete agent information structure with availability status\n    \"\"\"\n    # Setup\n    mock_agent_info = {\n        \"agent_id\": 123,\n        \"model_id\": None,\n        \"business_description\": \"Test agent\"\n    }\n    mock_search_agent_info.return_value = mock_agent_info\n\n    mock_tools = [{\"tool_id\": 1, \"name\": \"Tool 1\"}]\n    mock_search_tools.return_value = mock_tools\n\n    mock_sub_agent_ids = [456, 789]\n    mock_query_sub_agents_id.return_value = mock_sub_agent_ids\n\n    # Mock get_model_by_model_id - return None for model_id=None\n    mock_get_model_by_model_id.return_value = None\n\n    # Mock check_agent_availability - agent is available\n    mock_check_availability.return_value = (True, [])\n\n    # Execute\n    result = await get_agent_info_impl(agent_id=123, tenant_id=\"test_tenant\")\n\n    # Assert\n    expected_result = {\n        \"agent_id\": 123,\n        \"model_id\": None,\n        \"business_description\": \"Test agent\",\n        \"tools\": mock_tools,\n        \"sub_agent_id_list\": mock_sub_agent_ids,\n        \"model_name\": None,\n        \"business_logic_model_name\": None,\n        \"is_available\": True,\n        \"unavailable_reasons\": []\n    }\n    assert result == expected_result\n    mock_search_agent_info.assert_called_once_with(123, \"test_tenant\", 0)\n    mock_search_tools.assert_called_once_with(\n        agent_id=123, tenant_id=\"test_tenant\")\n    mock_query_sub_agents_id.assert_called_once_with(\n        main_agent_id=123, tenant_id=\"test_tenant\")\n    mock_check_availability.assert_called_once()\n\n\n@patch('backend.services.agent_service.check_agent_availability')\n@patch('backend.services.agent_service.get_model_by_model_id')\n@patch('backend.services.agent_service.query_sub_agents_id_list')\n@patch('backend.services.agent_service.search_tools_for_sub_agent')\n@patch('backend.services.agent_service.search_agent_info_by_agent_id')\n@pytest.mark.asyncio\nasync def test_get_agent_info_impl_with_version_no(mock_search_agent_info, mock_search_tools, mock_query_sub_agents_id, mock_get_model_by_model_id, mock_check_availability):\n    \"\"\"\n    Test get_agent_info_impl with explicit version_no parameter.\n\n    This test verifies that:\n    1. The function correctly passes version_no to search_agent_info_by_agent_id\n    2. It works correctly when version_no is explicitly provided\n    \"\"\"\n    # Setup\n    mock_agent_info = {\n        \"agent_id\": 123,\n        \"model_id\": None,\n        \"business_description\": \"Test agent\"\n    }\n    mock_search_agent_info.return_value = mock_agent_info\n\n    mock_tools = [{\"tool_id\": 1, \"name\": \"Tool 1\"}]\n    mock_search_tools.return_value = mock_tools\n\n    mock_sub_agent_ids = [456, 789]\n    mock_query_sub_agents_id.return_value = mock_sub_agent_ids\n\n    # Mock get_model_by_model_id - return None for model_id=None\n    mock_get_model_by_model_id.return_value = None\n\n    # Mock check_agent_availability - agent is available\n    mock_check_availability.return_value = (True, [])\n\n    # Execute with explicit version_no\n    result = await get_agent_info_impl(agent_id=123, tenant_id=\"test_tenant\", version_no=5)\n\n    # Assert\n    expected_result = {\n        \"agent_id\": 123,\n        \"model_id\": None,\n        \"business_description\": \"Test agent\",\n        \"tools\": mock_tools,\n        \"sub_agent_id_list\": mock_sub_agent_ids,\n        \"model_name\": None,\n        \"business_logic_model_name\": None,\n        \"is_available\": True,\n        \"unavailable_reasons\": []\n    }\n    assert result == expected_result\n    # Verify version_no is passed correctly\n    mock_search_agent_info.assert_called_once_with(123, \"test_tenant\", 5)\n    mock_search_tools.assert_called_once_with(\n        agent_id=123, tenant_id=\"test_tenant\")\n    mock_query_sub_agents_id.assert_called_once_with(\n        main_agent_id=123, tenant_id=\"test_tenant\")\n    mock_check_availability.assert_called_once()\n\n\n@patch('backend.services.agent_service.get_model_by_model_id')\n@patch('backend.services.agent_service.query_sub_agents_id_list')\n@patch('backend.services.agent_service.get_enable_tool_id_by_agent_id')\n@patch('backend.services.agent_service.search_agent_info_by_agent_id')\n@patch('backend.services.agent_service.get_creating_sub_agent_id_service')\n@patch('backend.services.agent_service.get_current_user_info')\n@pytest.mark.asyncio\nasync def test_get_creating_sub_agent_info_impl_success(mock_get_current_user_info, mock_get_creating_sub_agent,\n                                                        mock_search_agent_info, mock_get_enable_tools,\n                                                        mock_query_sub_agents_id, mock_get_model_by_model_id):\n    \"\"\"\n    Test successful retrieval of creating sub-agent information.\n\n    This test verifies that:\n    1. The function correctly gets the current user and tenant IDs\n    2. It retrieves or creates the sub-agent ID\n    3. It fetches the sub-agent's information and enabled tools\n    4. It returns a complete data structure with the sub-agent information\n    \"\"\"\n    # Setup\n    mock_get_current_user_info.return_value = (\n        \"test_user\", \"test_tenant\", \"en\")\n    mock_get_creating_sub_agent.return_value = 456\n    mock_search_agent_info.return_value = {\n        \"model_id\": None,\n        \"model_name\": \"test_model\",\n        \"name\": \"agent_name\",\n        \"display_name\": \"display name\",\n        \"description\": \"description...\",\n        \"max_steps\": 5,\n        \"business_description\": \"Sub agent\",\n        \"duty_prompt\": \"Sub duty prompt\",\n        \"constraint_prompt\": \"Sub constraint prompt\",\n        \"few_shots_prompt\": \"Sub few shots prompt\"\n    }\n    mock_get_enable_tools.return_value = [1, 2]\n    mock_query_sub_agents_id.return_value = [789]\n\n    # Mock get_model_by_model_id - return None for model_id=None\n    mock_get_model_by_model_id.return_value = None\n\n    # Execute\n    # Ensure the sub agent id remains as initially configured (456)\n    mock_get_enable_tools.return_value = [1, 2]\n    result = await get_creating_sub_agent_info_impl(authorization=\"Bearer token\")\n\n    # Assert\n    expected_result = {\n        \"agent_id\": 456,\n        \"name\": \"agent_name\",\n        \"display_name\": \"display name\",\n        \"description\": \"description...\",\n        \"enable_tool_id_list\": [1, 2],\n        \"model_name\": \"test_model\",\n        \"model_id\": None,\n        \"max_steps\": 5,\n        \"business_description\": \"Sub agent\",\n        \"duty_prompt\": \"Sub duty prompt\",\n        \"constraint_prompt\": \"Sub constraint prompt\",\n        \"few_shots_prompt\": \"Sub few shots prompt\",\n        \"sub_agent_id_list\": [789]\n    }\n    assert result == expected_result\n\n\n@patch('backend.services.agent_service.create_or_update_tool_by_tool_info')\n@patch('backend.services.agent_service.query_tool_instances_by_id')\n@patch('backend.services.agent_service.query_all_tools')\n@patch('backend.services.agent_service.update_agent')\n@patch('backend.services.agent_service.get_current_user_info')\n@pytest.mark.asyncio\nasync def test_update_agent_info_impl_success(mock_get_current_user_info, mock_update_agent,\n                                                mock_query_all_tools, mock_query_tool_instances_by_id,\n                                                mock_create_or_update_tool):\n    \"\"\"\n    Test successful update of agent information.\n\n    This test verifies that:\n    1. The function correctly gets the current user and tenant IDs\n    2. It calls the update_agent function with the correct parameters\n    \"\"\"\n    # Setup\n    mock_get_current_user_info.return_value = (\n        \"test_user\", \"test_tenant\", \"en\")\n\n    # Create a mock AgentInfoRequest object since consts.model is mocked\n    request = MagicMock()\n    request.agent_id = 123\n    request.model_id = None\n    request.business_description = \"Updated agent\"\n    request.display_name = \"Updated Display Name\"\n    request.enabled_tool_ids = None  # Explicitly set to None to avoid tool handling path\n\n    # Execute\n    await update_agent_info_impl(request, authorization=\"Bearer token\")\n\n    # Assert\n    mock_update_agent.assert_called_once_with(\n        123, request, \"test_user\")\n\n\n@patch('backend.services.agent_service.delete_tools_by_agent_id')\n@patch('backend.services.agent_service.delete_agent_relationship')\n@patch('backend.services.agent_service.delete_agent_by_id')\n@pytest.mark.asyncio\nasync def test_delete_agent_impl_success(mock_delete_agent, mock_delete_related,\n                                         mock_delete_tools):\n    \"\"\"\n    Test successful deletion of an agent.\n\n    This test verifies that:\n    1. It calls the delete_agent_by_id function with the correct parameters\n    2. It also deletes all related agent relationships\n    3. It deletes all tools associated with the agent\n    \"\"\"\n    # Execute\n    await delete_agent_impl(123, \"test_tenant\", \"test_user\")\n\n    # Assert\n    mock_delete_agent.assert_called_once_with(123, \"test_tenant\", \"test_user\")\n    mock_delete_related.assert_called_once_with(\n        123, \"test_tenant\", \"test_user\")\n    mock_delete_tools.assert_called_once_with(123, \"test_tenant\", \"test_user\")\n\n\n@patch('backend.services.agent_service.search_agent_info_by_agent_id')\n@pytest.mark.asyncio\nasync def test_get_agent_info_impl_exception_handling(mock_search_agent_info):\n    \"\"\"\n    Test exception handling in get_agent_info_impl function.\n\n    This test verifies that:\n    1. When an exception occurs during agent info retrieval\n    2. The function raises a ValueError with an appropriate message\n    \"\"\"\n    # Setup\n    mock_search_agent_info.side_effect = Exception(\"Database error\")\n\n    # Execute & Assert\n    with pytest.raises(ValueError) as context:\n        await get_agent_info_impl(agent_id=123, tenant_id=\"test_tenant\")\n\n    assert \"Failed to get agent info\" in str(context.value)\n    # Verify version_no parameter is passed (default value 0)\n    mock_search_agent_info.assert_called_once_with(123, \"test_tenant\", 0)\n\n\n@patch('backend.services.agent_service.update_agent')\n@patch('backend.services.agent_service.get_current_user_info')\n@pytest.mark.asyncio\nasync def test_update_agent_info_impl_exception_handling(mock_get_current_user_info, mock_update_agent):\n    \"\"\"\n    Test exception handling in update_agent_info_impl function.\n\n    This test verifies that:\n    1. When an exception occurs during agent info update\n    2. The function raises a ValueError with an appropriate message\n    \"\"\"\n    # Setup\n    mock_get_current_user_info.return_value = (\n        \"test_user\", \"test_tenant\", \"en\")\n    mock_update_agent.side_effect = Exception(\"Update failed\")\n\n    # Create a mock AgentInfoRequest object since consts.model is mocked\n    request = MagicMock()\n    request.agent_id = 123\n    request.model_id = None\n    request.display_name = \"Test Display Name\"\n    request.enabled_tool_ids = None\n    request.related_agent_ids = None\n\n    # Execute & Assert\n    with pytest.raises(ValueError) as context:\n        await update_agent_info_impl(request, authorization=\"Bearer token\")\n\n    assert \"Failed to update agent info\" in str(context.value)\n\n\n@patch('backend.services.agent_service.create_or_update_tool_by_tool_info')\n@patch('backend.services.agent_service.query_tool_instances_by_agent_id')\n@patch('backend.services.agent_service.update_agent')\n@patch('backend.services.agent_service.get_current_user_info')\n@pytest.mark.asyncio\nasync def test_update_agent_info_impl_with_enabled_tool_ids(\n    mock_get_current_user_info,\n    mock_update_agent,\n    mock_query_tool_instances_by_agent_id,\n    mock_create_or_update_tool\n):\n    \"\"\"\n    Test update_agent_info_impl with enabled_tool_ids parameter.\n\n    This test verifies that:\n    1. When enabled_tool_ids is provided, existing tools are disabled if not selected\n    2. Selected tools are enabled (create or update)\n    3. Existing tool params are preserved\n    \"\"\"\n    # Setup\n    mock_get_current_user_info.return_value = (\"test_user\", \"test_tenant\", \"en\")\n\n    # Mock existing tool instances for this agent\n    mock_query_tool_instances_by_agent_id.return_value = [\n        {\"tool_id\": 1, \"params\": {\"key1\": \"value1\"}},  # Existing tool with params\n    ]\n\n    request = MagicMock()\n    request.agent_id = 123\n    request.enabled_tool_ids = [1, 2]  # Enable tools 1 and 2\n    request.related_agent_ids = None\n\n    # Execute\n    result = await update_agent_info_impl(request, authorization=\"Bearer token\")\n\n    # Assert\n    assert result[\"agent_id\"] == 123\n    mock_update_agent.assert_called_once()\n\n    # Verify tools were updated: tool 1 and 2 enabled\n    assert mock_create_or_update_tool.call_count == 2\n\n    # Check tool 1: enabled with existing params\n    call_args = mock_create_or_update_tool.call_args_list[0]\n    tool_info = call_args.kwargs['tool_info']\n    assert tool_info.tool_id == 1\n    assert tool_info.enabled is True\n    assert tool_info.params == {\"key1\": \"value1\"}\n\n    # Check tool 2: enabled with empty params (new tool)\n    call_args = mock_create_or_update_tool.call_args_list[1]\n    tool_info = call_args.kwargs['tool_info']\n    assert tool_info.tool_id == 2\n    assert tool_info.enabled is True\n    assert tool_info.params == {}\n\n\n@patch('backend.services.agent_service.create_or_update_tool_by_tool_info')\n@patch('backend.services.agent_service.query_tool_instances_by_agent_id')\n@patch('backend.services.agent_service.update_agent')\n@patch('backend.services.agent_service.get_current_user_info')\n@pytest.mark.asyncio\nasync def test_update_agent_info_impl_with_enabled_tool_ids_instance_having_null_tool_id(\n    mock_get_current_user_info,\n    mock_update_agent,\n    mock_query_tool_instances_by_agent_id,\n    mock_create_or_update_tool\n):\n    \"\"\"\n    Test update_agent_info_impl when existing tool instance has null tool_id.\n\n    This test verifies that:\n    1. Instances with null tool_id are skipped (not causing errors)\n    2. Only valid tool instances are processed for enabling/disabling\n    \"\"\"\n    # Setup\n    mock_get_current_user_info.return_value = (\"test_user\", \"test_tenant\", \"en\")\n\n    # Mock existing tool instances: one with valid tool_id, one with null tool_id\n    mock_query_tool_instances_by_agent_id.return_value = [\n        {\"tool_id\": 1, \"params\": {\"key1\": \"value1\"}},  # Valid instance\n        {\"tool_id\": None, \"params\": {}},               # Instance with null tool_id - should be skipped\n    ]\n\n    request = MagicMock()\n    request.agent_id = 123\n    request.enabled_tool_ids = [1]  # Enable only tool 1\n    request.related_agent_ids = None\n\n    # Execute\n    result = await update_agent_info_impl(request, authorization=\"Bearer token\")\n\n    # Assert\n    assert result[\"agent_id\"] == 123\n    mock_update_agent.assert_called_once()\n\n    # Verify only tool 1 was enabled; tool with null tool_id was skipped\n    assert mock_create_or_update_tool.call_count == 1\n    call_args = mock_create_or_update_tool.call_args\n    tool_info = call_args.kwargs['tool_info']\n    assert tool_info.tool_id == 1\n    assert tool_info.enabled is True\n\n\n@patch('backend.services.agent_service.create_or_update_tool_by_tool_info')\n@patch('backend.services.agent_service.query_tool_instances_by_agent_id')\n@patch('backend.services.agent_service.update_agent')\n@patch('backend.services.agent_service.get_current_user_info')\n@pytest.mark.asyncio\nasync def test_update_agent_info_impl_with_enabled_tool_ids_disabled_existing_tool(\n    mock_get_current_user_info,\n    mock_update_agent,\n    mock_query_tool_instances_by_agent_id,\n    mock_create_or_update_tool\n):\n    \"\"\"\n    Test that existing tools not in enabled_tool_ids are disabled.\n\n    This test verifies that:\n    1. When enabled_tool_ids is provided, existing tools NOT in the list are disabled\n    2. create_or_update_tool_by_tool_info is called with enabled=False for disabled tools\n    \"\"\"\n    # Setup\n    mock_get_current_user_info.return_value = (\"test_user\", \"test_tenant\", \"en\")\n\n    # Mock existing tool instances: tool 1 exists, tool 2 is new\n    mock_query_tool_instances_by_agent_id.return_value = [\n        {\"tool_id\": 1, \"params\": {\"key1\": \"value1\"}},  # Existing tool 1\n    ]\n\n    request = MagicMock()\n    request.agent_id = 123\n    request.enabled_tool_ids = [2]  # Only enable tool 2 (new tool)\n    # Tool 1 exists but is NOT in enabled_tool_ids, so it should be disabled\n    request.related_agent_ids = None\n\n    # Execute\n    result = await update_agent_info_impl(request, authorization=\"Bearer token\")\n\n    # Assert\n    assert result[\"agent_id\"] == 123\n    mock_update_agent.assert_called_once()\n\n    # Verify: tool 1 was disabled, tool 2 was enabled\n    assert mock_create_or_update_tool.call_count == 2\n\n    # Check tool 1: disabled (exists but not in enabled_tool_ids)\n    call_args = mock_create_or_update_tool.call_args_list[0]\n    tool_info = call_args.kwargs['tool_info']\n    assert tool_info.tool_id == 1\n    assert tool_info.enabled is False\n    assert tool_info.params == {\"key1\": \"value1\"}\n\n    # Check tool 2: enabled (new tool)\n    call_args = mock_create_or_update_tool.call_args_list[1]\n    tool_info = call_args.kwargs['tool_info']\n    assert tool_info.tool_id == 2\n    assert tool_info.enabled is True\n    assert tool_info.params == {}\n\n\n@patch('backend.services.agent_service.update_related_agents')\n@patch('backend.services.agent_service.query_sub_agents_id_list')\n@patch('backend.services.agent_service.update_agent')\n@patch('backend.services.agent_service.get_current_user_info')\n@pytest.mark.asyncio\nasync def test_update_agent_info_impl_with_related_agent_ids(\n    mock_get_current_user_info,\n    mock_update_agent,\n    mock_query_sub_agents_id_list,\n    mock_update_related_agents\n):\n    \"\"\"\n    Test update_agent_info_impl with related_agent_ids parameter.\n\n    This test verifies that:\n    1. When related_agent_ids is provided, relationships are updated\n    2. Circular dependency detection works correctly\n    3. update_related_agents is called with correct parameters\n    \"\"\"\n    # Setup\n    mock_get_current_user_info.return_value = (\"test_user\", \"test_tenant\", \"en\")\n    mock_query_sub_agents_id_list.return_value = []  # No sub-agents, no circular dependency\n\n    request = MagicMock()\n    request.agent_id = 123\n    request.enabled_tool_ids = None\n    request.related_agent_ids = [456, 789]\n\n    # Execute\n    result = await update_agent_info_impl(request, authorization=\"Bearer token\")\n\n    # Assert\n    assert result[\"agent_id\"] == 123\n    mock_update_agent.assert_called_once()\n    mock_update_related_agents.assert_called_once_with(\n        parent_agent_id=123,\n        related_agent_ids=[456, 789],\n        tenant_id=\"test_tenant\",\n        user_id=\"test_user\"\n    )\n\n\n@patch('backend.services.agent_service.query_sub_agents_id_list')\n@patch('backend.services.agent_service.update_agent')\n@patch('backend.services.agent_service.get_current_user_info')\n@pytest.mark.asyncio\nasync def test_update_agent_info_impl_circular_dependency_detection(\n    mock_get_current_user_info,\n    mock_update_agent,\n    mock_query_sub_agents_id_list\n):\n    \"\"\"\n    Test update_agent_info_impl circular dependency detection.\n\n    This test verifies that:\n    1. When agent tries to relate to itself, ValueError is raised\n    2. When circular dependency is detected through sub-agents, ValueError is raised\n    \"\"\"\n    # Setup\n    mock_get_current_user_info.return_value = (\"test_user\", \"test_tenant\", \"en\")\n\n    request = MagicMock()\n    request.agent_id = 123\n    request.enabled_tool_ids = None\n    request.related_agent_ids = [123]  # Agent tries to relate to itself\n\n    # Execute & Assert - self-reference should raise ValueError\n    with pytest.raises(ValueError, match=\"Circular dependency detected\"):\n        await update_agent_info_impl(request, authorization=\"Bearer token\")\n\n    # Test circular dependency through sub-agents\n    request.related_agent_ids = [456]\n    # Agent 456 has sub-agent 123 (circular)\n    mock_query_sub_agents_id_list.return_value = [123]\n\n    with pytest.raises(ValueError, match=\"Circular dependency detected\"):\n        await update_agent_info_impl(request, authorization=\"Bearer token\")\n\n\n@patch('backend.services.agent_service.create_or_update_tool_by_tool_info')\n@patch('backend.services.agent_service.query_tool_instances_by_agent_id')\n@patch('backend.services.agent_service.update_related_agents')\n@patch('backend.services.agent_service.query_sub_agents_id_list')\n@patch('backend.services.agent_service.update_agent')\n@patch('backend.services.agent_service.get_current_user_info')\n@pytest.mark.asyncio\nasync def test_update_agent_info_impl_with_both_tool_and_related_agents(\n    mock_get_current_user_info,\n    mock_update_agent,\n    mock_query_sub_agents_id_list,\n    mock_update_related_agents,\n    mock_query_tool_instances_by_agent_id,\n    mock_create_or_update_tool\n):\n    \"\"\"\n    Test update_agent_info_impl with both enabled_tool_ids and related_agent_ids.\n\n    This test verifies that:\n    1. Both tools and related agents can be updated in the same call\n    2. Operations are performed in correct order\n    \"\"\"\n    # Setup\n    mock_get_current_user_info.return_value = (\"test_user\", \"test_tenant\", \"en\")\n    mock_query_tool_instances_by_agent_id.return_value = []  # No existing instances\n    mock_query_sub_agents_id_list.return_value = []\n\n    request = MagicMock()\n    request.agent_id = 123\n    request.enabled_tool_ids = [1]\n    request.related_agent_ids = [456]\n\n    # Execute\n    result = await update_agent_info_impl(request, authorization=\"Bearer token\")\n\n    # Assert\n    assert result[\"agent_id\"] == 123\n    mock_update_agent.assert_called_once()\n    mock_create_or_update_tool.assert_called_once()\n    mock_update_related_agents.assert_called_once_with(\n        parent_agent_id=123,\n        related_agent_ids=[456],\n        tenant_id=\"test_tenant\",\n        user_id=\"test_user\"\n    )\n\n\n@patch('backend.services.agent_service.create_or_update_tool_by_tool_info')\n@patch('backend.services.agent_service.query_tool_instances_by_agent_id')\n@patch('backend.services.agent_service.update_agent')\n@patch('backend.services.agent_service.get_current_user_info')\n@pytest.mark.asyncio\nasync def test_update_agent_info_impl_tool_update_exception(\n    mock_get_current_user_info,\n    mock_update_agent,\n    mock_query_tool_instances_by_agent_id,\n    mock_create_or_update_tool\n):\n    \"\"\"\n    Test update_agent_info_impl exception handling for tool updates.\n\n    This test verifies that:\n    1. When tool update fails, ValueError is raised with appropriate message\n    \"\"\"\n    # Setup\n    mock_get_current_user_info.return_value = (\"test_user\", \"test_tenant\", \"en\")\n    mock_query_tool_instances_by_agent_id.return_value = []\n    mock_create_or_update_tool.side_effect = Exception(\"Tool update failed\")\n\n    request = MagicMock()\n    request.agent_id = 123\n    request.enabled_tool_ids = [1]\n    request.related_agent_ids = None\n\n    # Execute & Assert\n    with pytest.raises(ValueError, match=\"Failed to update agent tools\"):\n        await update_agent_info_impl(request, authorization=\"Bearer token\")\n\n\n@patch('backend.services.agent_service.update_related_agents')\n@patch('backend.services.agent_service.query_sub_agents_id_list')\n@patch('backend.services.agent_service.update_agent')\n@patch('backend.services.agent_service.get_current_user_info')\n@pytest.mark.asyncio\nasync def test_update_agent_info_impl_related_agent_update_exception(\n    mock_get_current_user_info,\n    mock_update_agent,\n    mock_query_sub_agents_id_list,\n    mock_update_related_agents\n):\n    \"\"\"\n    Test update_agent_info_impl exception handling for related agent updates.\n\n    This test verifies that:\n    1. When related agent update fails, ValueError is raised with appropriate message\n    \"\"\"\n    # Setup\n    mock_get_current_user_info.return_value = (\"test_user\", \"test_tenant\", \"en\")\n    mock_query_sub_agents_id_list.return_value = []\n    mock_update_related_agents.side_effect = Exception(\"Related agent update failed\")\n\n    request = MagicMock()\n    request.agent_id = 123\n    request.enabled_tool_ids = None\n    request.related_agent_ids = [456]\n\n    # Execute & Assert\n    with pytest.raises(ValueError, match=\"Failed to update related agents\"):\n        await update_agent_info_impl(request, authorization=\"Bearer token\")\n\n\n@patch('backend.services.agent_service.get_user_language')\n@patch('backend.services.agent_service.get_current_user_info')\ndef test_resolve_user_tenant_language_with_overrides(mock_get_current_user_info, mock_get_user_language):\n    \"\"\"\n    Test _resolve_user_tenant_language with user_id and tenant_id overrides.\n\n    This test verifies that:\n    1. When user_id and tenant_id are provided, authorization is not parsed again\n    2. Language is still retrieved from http_request\n    \"\"\"\n    mock_get_user_language.return_value = \"zh\"\n    mock_request = MagicMock()\n\n    result = _resolve_user_tenant_language(\n        authorization=\"Bearer token\",\n        http_request=mock_request,\n        user_id=\"override_user\",\n        tenant_id=\"override_tenant\"\n    )\n\n    assert result == (\"override_user\", \"override_tenant\", \"zh\")\n    mock_get_current_user_info.assert_not_called()\n    mock_get_user_language.assert_called_once_with(mock_request)\n\n\n@patch('backend.services.agent_service.get_current_user_info')\ndef test_resolve_user_tenant_language_without_overrides(mock_get_current_user_info):\n    \"\"\"\n    Test _resolve_user_tenant_language without user_id and tenant_id overrides.\n\n    This test verifies that:\n    1. When user_id or tenant_id is None, authorization is parsed\n    2. get_current_user_info is called with authorization and http_request\n    \"\"\"\n    mock_get_current_user_info.return_value = (\"parsed_user\", \"parsed_tenant\", \"en\")\n    mock_request = MagicMock()\n\n    result = _resolve_user_tenant_language(\n        authorization=\"Bearer token\",\n        http_request=mock_request,\n        user_id=None,\n        tenant_id=None\n    )\n\n    assert result == (\"parsed_user\", \"parsed_tenant\", \"en\")\n    mock_get_current_user_info.assert_called_once_with(\"Bearer token\", mock_request)\n\n\n@patch('backend.services.agent_service.get_user_language')\n@patch('backend.services.agent_service.get_current_user_info')\ndef test_resolve_user_tenant_language_partial_override(mock_get_current_user_info, mock_get_user_language):\n    \"\"\"\n    Test _resolve_user_tenant_language with partial override (only user_id).\n\n    This test verifies that:\n    1. When only user_id is provided, authorization is still parsed\n    2. Both user_id and tenant_id must be provided to skip parsing\n    \"\"\"\n    mock_get_current_user_info.return_value = (\"parsed_user\", \"parsed_tenant\", \"en\")\n    mock_get_user_language.return_value = \"fr\"\n    mock_request = MagicMock()\n\n    result = _resolve_user_tenant_language(\n        authorization=\"Bearer token\",\n        http_request=mock_request,\n        user_id=\"override_user\",\n        tenant_id=None  # tenant_id is None, so parsing is needed\n    )\n\n    assert result == (\"parsed_user\", \"parsed_tenant\", \"en\")\n    mock_get_current_user_info.assert_called_once_with(\"Bearer token\", mock_request)\n\n\n@patch('backend.services.agent_service.delete_agent_by_id')\n@pytest.mark.asyncio\nasync def test_delete_agent_impl_exception_handling(mock_delete_agent):\n    \"\"\"\n    Test exception handling in delete_agent_impl function.\n\n    This test verifies that:\n    1. When an exception occurs during agent deletion\n    2. The function raises a ValueError with an appropriate message\n    \"\"\"\n    # Setup\n    mock_delete_agent.side_effect = Exception(\"Delete failed\")\n\n    # Execute & Assert\n    with pytest.raises(ValueError) as context:\n        await delete_agent_impl(123, \"test_tenant\", \"test_user\")\n\n    assert \"Failed to delete agent\" in str(context.value)\n\n\n@patch('backend.services.agent_service.query_group_ids_by_user')\ndef test_get_user_group_ids_success(mock_get_group_ids):\n    \"\"\"\n    Test successful retrieval of user's group IDs as comma-separated string.\n\n    This test verifies that:\n    1. The _get_user_group_ids function calls get_group_ids_by_user\n    2. Returns a comma-separated string of group IDs\n    3. Uses convert_list_to_string utility function\n    \"\"\"\n    # Setup\n    from backend.services.agent_service import _get_user_group_ids\n    mock_get_group_ids.return_value = [1, 2, 3]\n\n    # Execute\n    result = _get_user_group_ids(\"test_user\", \"test_tenant\")\n\n    # Assert\n    assert result == \"1,2,3\"\n    mock_get_group_ids.assert_called_once_with(\"test_user\")\n\n\n@patch('backend.services.agent_service.query_group_ids_by_user')\ndef test_get_user_group_ids_empty_groups(mock_get_group_ids):\n    \"\"\"\n    Test _get_user_group_ids with empty group list.\n\n    This test verifies that:\n    1. When user has no groups, returns empty string\n    \"\"\"\n    # Setup\n    from backend.services.agent_service import _get_user_group_ids\n    mock_get_group_ids.return_value = []\n\n    # Execute\n    result = _get_user_group_ids(\"test_user\", \"test_tenant\")\n\n    # Assert\n    assert result == \"\"\n    mock_get_group_ids.assert_called_once_with(\"test_user\")\n\n\n@patch('backend.services.agent_service.query_group_ids_by_user')\ndef test_get_user_group_ids_exception_handling(mock_get_group_ids):\n    \"\"\"\n    Test _get_user_group_ids exception handling.\n\n    This test verifies that:\n    1. When get_group_ids_by_user raises exception, logs warning and returns empty string\n    \"\"\"\n    # Setup\n    from backend.services.agent_service import _get_user_group_ids\n    mock_get_group_ids.side_effect = Exception(\"Database error\")\n\n    # Execute\n    result = _get_user_group_ids(\"test_user\", \"test_tenant\")\n\n    # Assert\n    assert result == \"\"\n    mock_get_group_ids.assert_called_once_with(\"test_user\")\n\n\n@patch('backend.services.agent_service.query_group_ids_by_user')\n@patch('backend.services.agent_service.create_agent')\n@patch('backend.services.agent_service.get_current_user_info')\n@pytest.mark.asyncio\nasync def test_update_agent_info_impl_create_agent_auto_group_ids(mock_get_current_user_info, mock_create_agent, mock_get_group_ids):\n    \"\"\"\n    Test creating a new agent with automatic group_ids assignment.\n\n    This test verifies that:\n    1. When agent_id is None, a new agent is created\n    2. The group_ids are automatically set to the current user's groups\n    3. The create_agent function is called with the correct parameters including group_ids\n    \"\"\"\n    # Setup\n    from backend.services.agent_service import update_agent_info_impl\n    mock_get_current_user_info.return_value = (\n        \"test_user\", \"test_tenant\", \"en\")\n    mock_get_group_ids.return_value = [1, 2, 3]\n    mock_create_agent.return_value = {\"agent_id\": 456}\n\n    # Create a mock AgentInfoRequest object\n    request = MagicMock()\n    request.agent_id = None  # This triggers create mode\n    request.name = \"New Agent\"\n    request.display_name = \"New Display Name\"\n    request.business_description = \"New agent description\"\n    request.author = \"test_author\"\n    request.model_id = 1\n    request.model_name = \"test-model\"\n    request.business_logic_model_id = None\n    request.business_logic_model_name = None\n    request.max_steps = 10\n    request.provide_run_summary = True\n    request.duty_prompt = \"Test duty\"\n    request.constraint_prompt = \"Test constraint\"\n    request.few_shots_prompt = \"Test few shots\"\n    request.enabled = True\n    request.enabled_tool_ids = None\n    request.related_agent_ids = None\n    request.group_ids = None\n\n    # Execute\n    result = await update_agent_info_impl(request, authorization=\"Bearer token\")\n\n    # Assert\n    assert result[\"agent_id\"] == 456\n    mock_get_group_ids.assert_called_once_with(\"test_user\")\n    mock_create_agent.assert_called_once()\n    # Verify that group_ids is included in the agent_info dict passed to create_agent\n    # agent_info keyword argument\n    call_args = mock_create_agent.call_args[1][\"agent_info\"]\n    # Should be comma-separated string\n    assert call_args[\"group_ids\"] == \"1,2,3\"\n\n\n@patch('backend.services.agent_service.get_mcp_server_by_name_and_tenant')\n@patch('backend.services.agent_service.ExportAndImportDataFormat')\n@patch('backend.services.agent_service.export_agent_by_agent_id')\n@patch('backend.services.agent_service.get_current_user_info')\n@pytest.mark.asyncio\nasync def test_export_agent_impl_success(mock_get_current_user_info, mock_export_agent_by_id, mock_export_data_format,\n                                         mock_get_mcp_server):\n    \"\"\"\n    Test successful export of agent information with MCP servers.\n    \"\"\"\n    # Setup\n    mock_get_current_user_info.return_value = (\n        \"test_user\", \"test_tenant\", \"en\")\n\n    # Create tools with MCP source\n    mcp_tool = ToolConfig(\n        class_name=\"MCPTool\",\n        name=\"MCP Tool\",\n        source=\"mcp\",\n        params={\"param1\": \"value1\"},\n        metadata={},\n        description=\"MCP tool description\",\n        inputs=\"input description\",\n        output_type=\"output type description\",\n        usage=\"test_mcp_server\"\n    )\n\n    # Create a proper ExportAndImportAgentInfo object with MCP tools\n    mcp_tool_dict = mcp_tool.model_dump()\n    mock_agent_info = ExportAndImportAgentInfo(\n        agent_id=123,\n        name=\"Test Agent\",\n        display_name=\"Test Agent Display\",\n        description=\"A test agent\",\n        business_description=\"For testing purposes\",\n        max_steps=10,\n        provide_run_summary=True,\n        duty_prompt=\"Test duty prompt\",\n        constraint_prompt=\"Test constraint prompt\",\n        few_shots_prompt=\"Test few shots prompt\",\n        enabled=True,\n        tools=[mcp_tool_dict],\n        managed_agents=[]\n    )\n    mock_export_agent_by_id.return_value = mock_agent_info\n\n    # Mock MCP server URL retrieval\n    mock_get_mcp_server.return_value = \"http://test-mcp-server.com\"\n\n    # Mock the ExportAndImportDataFormat to return a proper model_dump\n    mock_export_data_instance = Mock()\n    mock_export_data_instance.model_dump.return_value = {\n        \"agent_id\": 123,\n        \"agent_info\": {\n            \"123\": {\n                \"agent_id\": 123,\n                \"name\": \"Test Agent\",\n                \"display_name\": \"Test Agent Display\",\n                \"description\": \"A test agent\",\n                \"business_description\": \"For testing purposes\",\n                \"max_steps\": 10,\n                \"provide_run_summary\": True,\n                \"duty_prompt\": \"Test duty prompt\",\n                \"constraint_prompt\": \"Test constraint prompt\",\n                \"few_shots_prompt\": \"Test few shots prompt\",\n                \"enabled\": True,\n                \"tools\": [mcp_tool.model_dump()],\n                \"managed_agents\": []\n            }\n        },\n        \"mcp_info\": [\n            {\n                \"mcp_server_name\": \"test_mcp_server\",\n                \"mcp_url\": \"http://test-mcp-server.com\"\n            }\n        ]\n    }\n    mock_export_data_format.return_value = mock_export_data_instance\n\n    # Execute\n    result = await export_agent_impl(\n        agent_id=123,\n        authorization=\"Bearer token\"\n    )\n\n    # Assert the result structure - result is a dict from model_dump()\n    assert result[\"agent_id\"] == 123\n    assert \"agent_info\" in result\n    assert \"123\" in result[\"agent_info\"]\n    assert \"mcp_info\" in result\n\n    # The agent_info should contain the ExportAndImportAgentInfo data\n    agent_data = result[\"agent_info\"][\"123\"]\n    assert agent_data[\"name\"] == \"Test Agent\"\n    assert agent_data[\"business_description\"] == \"For testing purposes\"\n    assert agent_data[\"agent_id\"] == 123\n    assert len(agent_data[\"tools\"]) == 1\n\n    # Check MCP info\n    mcp_info = result[\"mcp_info\"]\n    assert len(mcp_info) == 1\n    assert mcp_info[0][\"mcp_server_name\"] == \"test_mcp_server\"\n    assert mcp_info[0][\"mcp_url\"] == \"http://test-mcp-server.com\"\n\n    # Verify function calls\n    mock_get_current_user_info.assert_called_once_with(\"Bearer token\")\n    mock_export_agent_by_id.assert_called_once_with(\n        agent_id=123, tenant_id=\"test_tenant\", user_id=\"test_user\")\n    mock_get_mcp_server.assert_called_once_with(\n        \"test_mcp_server\", \"test_tenant\")\n    mock_export_data_format.assert_called_once()\n\n\n@patch('backend.services.agent_service.get_mcp_server_by_name_and_tenant')\n@patch('backend.services.agent_service.ExportAndImportDataFormat')\n@patch('backend.services.agent_service.export_agent_by_agent_id')\n@patch('backend.services.agent_service.get_current_user_info')\n@pytest.mark.asyncio\nasync def test_export_agent_impl_no_mcp_tools(mock_get_current_user_info, mock_export_agent_by_id,\n                                              mock_export_data_format, mock_get_mcp_server):\n    \"\"\"\n    Test successful export of agent information without MCP tools.\n    \"\"\"\n    # Setup\n    mock_get_current_user_info.return_value = (\n        \"test_user\", \"test_tenant\", \"en\")\n\n    # Create a proper ExportAndImportAgentInfo object without MCP tools\n    mock_agent_info = ExportAndImportAgentInfo(\n        agent_id=123,\n        name=\"Test Agent\",\n        display_name=\"Test Agent Display\",\n        description=\"A test agent\",\n        business_description=\"For testing purposes\",\n        max_steps=10,\n        provide_run_summary=True,\n        duty_prompt=\"Test duty prompt\",\n        constraint_prompt=\"Test constraint prompt\",\n        few_shots_prompt=\"Test few shots prompt\",\n        enabled=True,\n        tools=[],\n        managed_agents=[]\n    )\n    mock_export_agent_by_id.return_value = mock_agent_info\n\n    # Mock the ExportAndImportDataFormat to return a proper model_dump\n    mock_export_data_instance = Mock()\n    mock_export_data_instance.model_dump.return_value = {\n        \"agent_id\": 123,\n        \"agent_info\": {\n            \"123\": {\n                \"agent_id\": 123,\n                \"name\": \"Test Agent\",\n                \"display_name\": \"Test Agent Display\",\n                \"description\": \"A test agent\",\n                \"business_description\": \"For testing purposes\",\n                \"max_steps\": 10,\n                \"provide_run_summary\": True,\n                \"duty_prompt\": \"Test duty prompt\",\n                \"constraint_prompt\": \"Test constraint prompt\",\n                \"few_shots_prompt\": \"Test few shots prompt\",\n                \"enabled\": True,\n                \"tools\": [],\n                \"managed_agents\": []\n            }\n        },\n        \"mcp_info\": []\n    }\n    mock_export_data_format.return_value = mock_export_data_instance\n\n    # Execute\n    result = await export_agent_impl(\n        agent_id=123,\n        authorization=\"Bearer token\"\n    )\n\n    # Assert the result structure\n    assert result[\"agent_id\"] == 123\n    assert \"agent_info\" in result\n    assert \"123\" in result[\"agent_info\"]\n    assert \"mcp_info\" in result\n    assert len(result[\"mcp_info\"]) == 0  # No MCP tools\n\n    # Verify function calls\n    mock_get_current_user_info.assert_called_once_with(\"Bearer token\")\n    mock_export_agent_by_id.assert_called_once_with(\n        agent_id=123, tenant_id=\"test_tenant\", user_id=\"test_user\")\n    # Should not be called when no MCP tools\n    mock_get_mcp_server.assert_not_called()\n    mock_export_data_format.assert_called_once()\n\n\n@patch('backend.services.agent_service.check_agent_availability')\n@patch('backend.services.agent_service.get_model_by_model_id')\n@patch('backend.services.agent_service.search_agent_info_by_agent_id')\nasync def test_get_agent_info_impl_with_tool_error(mock_search_agent_info, mock_get_model_by_model_id, mock_check_availability):\n    \"\"\"\n    Test get_agent_info_impl with an error in retrieving tool information.\n\n    This test verifies that:\n    1. The function correctly gets the agent information\n    2. When an error occurs retrieving tool information\n    3. The function returns the agent information with an empty tools list\n    \"\"\"\n    # Setup\n    mock_agent_info = {\n        \"agent_id\": 123,\n        \"model_id\": None,\n        \"business_description\": \"Test agent\"\n    }\n    mock_search_agent_info.return_value = mock_agent_info\n    mock_check_availability.return_value = (True, [])\n\n    # Mock the search_tools_for_sub_agent function to raise an exception\n    with patch('backend.services.agent_service.search_tools_for_sub_agent') as mock_search_tools, \\\n            patch('backend.services.agent_service.query_sub_agents_id_list') as mock_query_sub_agents_id:\n        mock_search_tools.side_effect = Exception(\"Tool search error\")\n        mock_query_sub_agents_id.return_value = []\n        mock_get_model_by_model_id.return_value = None\n\n        # Execute\n        result = await get_agent_info_impl(agent_id=123, tenant_id=\"test_tenant\")\n\n        # Assert\n        assert result[\"agent_id\"] == 123\n        assert result[\"tools\"] == []\n        assert result[\"sub_agent_id_list\"] == []\n        assert result[\"model_name\"] is None\n        assert result[\"is_available\"] == True\n        assert result[\"unavailable_reasons\"] == []\n        mock_search_agent_info.assert_called_once_with(123, \"test_tenant\", 0)\n\n\n@patch('backend.services.agent_service.check_agent_availability')\n@patch('backend.services.agent_service.get_model_by_model_id')\n@patch('backend.services.agent_service.query_sub_agents_id_list')\n@patch('backend.services.agent_service.search_tools_for_sub_agent')\n@patch('backend.services.agent_service.search_agent_info_by_agent_id')\n@pytest.mark.asyncio\nasync def test_get_agent_info_impl_sub_agent_error(mock_search_agent_info, mock_search_tools, mock_query_sub_agents_id, mock_get_model_by_model_id, mock_check_availability):\n    \"\"\"\n    Test get_agent_info_impl with an error in retrieving sub agent id list.\n\n    This test verifies that:\n    1. The function correctly gets the agent information\n    2. When an error occurs retrieving sub agent id list\n    3. The function returns the agent information with an empty sub_agent_id_list\n    \"\"\"\n    # Setup\n    mock_agent_info = {\n        \"agent_id\": 123,\n        \"model_id\": None,\n        \"business_description\": \"Test agent\"\n    }\n    mock_search_agent_info.return_value = mock_agent_info\n\n    mock_tools = [{\"tool_id\": 1, \"name\": \"Tool 1\"}]\n    mock_search_tools.return_value = mock_tools\n\n    # Mock query_sub_agents_id_list to raise an exception\n    mock_query_sub_agents_id.side_effect = Exception(\"Sub agent query error\")\n    mock_get_model_by_model_id.return_value = None\n    mock_check_availability.return_value = (True, [])\n\n    # Execute\n    result = await get_agent_info_impl(agent_id=123, tenant_id=\"test_tenant\")\n\n    # Assert\n    assert result[\"agent_id\"] == 123\n    assert result[\"tools\"] == mock_tools\n    assert result[\"sub_agent_id_list\"] == []\n    assert result[\"model_name\"] is None\n    assert result[\"is_available\"] == True\n    assert result[\"unavailable_reasons\"] == []\n    mock_search_agent_info.assert_called_once_with(123, \"test_tenant\", 0)\n    mock_search_tools.assert_called_once_with(\n        agent_id=123, tenant_id=\"test_tenant\")\n    mock_query_sub_agents_id.assert_called_once_with(\n        main_agent_id=123, tenant_id=\"test_tenant\")\n\n\n@patch('backend.services.agent_service.check_agent_availability')\n@patch('backend.services.agent_service.get_model_by_model_id')\n@patch('backend.services.agent_service.query_sub_agents_id_list')\n@patch('backend.services.agent_service.search_tools_for_sub_agent')\n@patch('backend.services.agent_service.search_agent_info_by_agent_id')\n@pytest.mark.asyncio\nasync def test_get_agent_info_impl_with_model_id_success(mock_search_agent_info, mock_search_tools, mock_query_sub_agents_id, mock_get_model_by_model_id, mock_check_availability):\n    \"\"\"\n    Test get_agent_info_impl with a valid model_id.\n\n    This test verifies that:\n    1. The function correctly retrieves model information when model_id is not None\n    2. It sets model_name from the model's display_name\n    3. It handles the case when model_info is None\n    \"\"\"\n    # Setup\n    mock_agent_info = {\n        \"agent_id\": 123,\n        \"model_id\": 456,\n        \"business_description\": \"Test agent\"\n    }\n    mock_search_agent_info.return_value = mock_agent_info\n\n    mock_tools = [{\"tool_id\": 1, \"name\": \"Tool 1\"}]\n    mock_search_tools.return_value = mock_tools\n\n    mock_sub_agent_ids = [789]\n    mock_query_sub_agents_id.return_value = mock_sub_agent_ids\n\n    # Mock model info with display_name\n    mock_model_info = {\n        \"model_id\": 456,\n        \"display_name\": \"GPT-4\",\n        \"provider\": \"openai\"\n    }\n    mock_get_model_by_model_id.return_value = mock_model_info\n\n    # Mock check_agent_availability - agent is available\n    mock_check_availability.return_value = (True, [])\n\n    # Execute\n    result = await get_agent_info_impl(agent_id=123, tenant_id=\"test_tenant\")\n\n    # Assert\n    expected_result = {\n        \"agent_id\": 123,\n        \"model_id\": 456,\n        \"business_description\": \"Test agent\",\n        \"tools\": mock_tools,\n        \"sub_agent_id_list\": mock_sub_agent_ids,\n        \"model_name\": \"GPT-4\",\n        \"business_logic_model_name\": None,\n        \"is_available\": True,\n        \"unavailable_reasons\": []\n    }\n    assert result == expected_result\n    mock_get_model_by_model_id.assert_called_once_with(456)\n\n\n@patch(\"backend.services.agent_service.check_agent_availability\")\n@patch(\"backend.services.agent_service.convert_string_to_list\")\n@patch(\"backend.services.agent_service.query_sub_agents_id_list\")\n@patch(\"backend.services.agent_service.search_tools_for_sub_agent\")\n@patch(\"backend.services.agent_service.search_agent_info_by_agent_id\")\n@pytest.mark.asyncio\nasync def test_get_agent_info_impl_converts_group_ids_when_present(\n    mock_search_agent_info,\n    mock_search_tools,\n    mock_query_sub_agents_id,\n    mock_convert_string_to_list,\n    mock_check_availability,\n):\n    \"\"\"get_agent_info_impl should convert group_ids when present.\"\"\"\n    mock_search_agent_info.return_value = {\n        \"agent_id\": 123,\n        \"model_id\": None,\n        \"business_description\": \"Test agent\",\n        \"group_ids\": \"1,2\",\n        \"business_logic_model_id\": None,\n    }\n    mock_search_tools.return_value = []\n    mock_query_sub_agents_id.return_value = []\n    mock_convert_string_to_list.return_value = [1, 2]\n    mock_check_availability.return_value = (True, [])\n\n    result = await get_agent_info_impl(agent_id=123, tenant_id=\"test_tenant\")\n\n    assert result[\"group_ids\"] == [1, 2]\n    mock_convert_string_to_list.assert_called_once_with(\"1,2\")\n\n\n@patch('backend.services.agent_service.check_agent_availability')\n@patch('backend.services.agent_service.get_model_by_model_id')\n@patch('backend.services.agent_service.query_sub_agents_id_list')\n@patch('backend.services.agent_service.search_tools_for_sub_agent')\n@patch('backend.services.agent_service.search_agent_info_by_agent_id')\n@pytest.mark.asyncio\nasync def test_get_agent_info_impl_with_model_id_no_display_name(mock_search_agent_info, mock_search_tools, mock_query_sub_agents_id, mock_get_model_by_model_id, mock_check_availability):\n    \"\"\"\n    Test get_agent_info_impl with model_id but model has no display_name.\n\n    This test verifies that:\n    1. The function correctly retrieves model information when model_id is not None\n    2. It sets model_name to None when model_info exists but has no display_name\n    \"\"\"\n    # Setup\n    mock_agent_info = {\n        \"agent_id\": 123,\n        \"model_id\": 456,\n        \"business_description\": \"Test agent\"\n    }\n    mock_search_agent_info.return_value = mock_agent_info\n\n    mock_tools = [{\"tool_id\": 1, \"name\": \"Tool 1\"}]\n    mock_search_tools.return_value = mock_tools\n\n    mock_sub_agent_ids = [789]\n    mock_query_sub_agents_id.return_value = mock_sub_agent_ids\n\n    # Mock model info without display_name\n    mock_model_info = {\n        \"model_id\": 456,\n        \"provider\": \"openai\"\n        # No display_name field\n    }\n    mock_get_model_by_model_id.return_value = mock_model_info\n    mock_check_availability.return_value = (True, [])\n\n    # Execute\n    result = await get_agent_info_impl(agent_id=123, tenant_id=\"test_tenant\")\n\n    # Assert\n    expected_result = {\n        \"agent_id\": 123,\n        \"model_id\": 456,\n        \"business_description\": \"Test agent\",\n        \"tools\": mock_tools,\n        \"sub_agent_id_list\": mock_sub_agent_ids,\n        \"model_name\": None,\n        \"business_logic_model_name\": None,\n        \"is_available\": True,\n        \"unavailable_reasons\": []\n    }\n    assert result == expected_result\n    mock_get_model_by_model_id.assert_called_once_with(456)\n\n\n@patch('backend.services.agent_service.check_agent_availability')\n@patch('backend.services.agent_service.get_model_by_model_id')\n@patch('backend.services.agent_service.query_sub_agents_id_list')\n@patch('backend.services.agent_service.search_tools_for_sub_agent')\n@patch('backend.services.agent_service.search_agent_info_by_agent_id')\n@pytest.mark.asyncio\nasync def test_get_agent_info_impl_with_model_id_none_model_info(mock_search_agent_info, mock_search_tools, mock_query_sub_agents_id, mock_get_model_by_model_id, mock_check_availability):\n    \"\"\"\n    Test get_agent_info_impl with model_id but get_model_by_model_id returns None.\n\n    This test verifies that:\n    1. The function correctly handles when model_id is not None but get_model_by_model_id returns None\n    2. It sets model_name to None when model_info is None\n    \"\"\"\n    # Setup\n    mock_agent_info = {\n        \"agent_id\": 123,\n        \"model_id\": 456,\n        \"business_description\": \"Test agent\"\n    }\n    mock_search_agent_info.return_value = mock_agent_info\n\n    mock_tools = [{\"tool_id\": 1, \"name\": \"Tool 1\"}]\n    mock_search_tools.return_value = mock_tools\n\n    mock_sub_agent_ids = [789]\n    mock_query_sub_agents_id.return_value = mock_sub_agent_ids\n\n    # Mock get_model_by_model_id to return None\n    mock_get_model_by_model_id.return_value = None\n    mock_check_availability.return_value = (True, [])\n\n    # Execute\n    result = await get_agent_info_impl(agent_id=123, tenant_id=\"test_tenant\")\n\n    # Assert\n    expected_result = {\n        \"agent_id\": 123,\n        \"model_id\": 456,\n        \"business_description\": \"Test agent\",\n        \"tools\": mock_tools,\n        \"sub_agent_id_list\": mock_sub_agent_ids,\n        \"model_name\": None,\n        \"business_logic_model_name\": None,\n        \"is_available\": True,\n        \"unavailable_reasons\": []\n    }\n    assert result == expected_result\n    mock_get_model_by_model_id.assert_called_once_with(456)\n\n\n@patch('backend.services.agent_service.check_agent_availability')\n@patch('backend.services.agent_service.get_model_by_model_id')\n@patch('backend.services.agent_service.query_sub_agents_id_list')\n@patch('backend.services.agent_service.search_tools_for_sub_agent')\n@patch('backend.services.agent_service.search_agent_info_by_agent_id')\n@pytest.mark.asyncio\nasync def test_get_agent_info_impl_with_business_logic_model(mock_search_agent_info, mock_search_tools, mock_query_sub_agents_id, mock_get_model_by_model_id, mock_check_availability):\n    \"\"\"\n    Test get_agent_info_impl with business_logic_model_id.\n\n    This test verifies that:\n    1. The function correctly retrieves business logic model information when business_logic_model_id is not None\n    2. It sets business_logic_model_name from the model's display_name\n    3. It handles both main model and business logic model correctly\n    \"\"\"\n    # Setup\n    mock_agent_info = {\n        \"agent_id\": 123,\n        \"model_id\": 456,\n        \"business_logic_model_id\": 789,\n        \"business_description\": \"Test agent\"\n    }\n    mock_search_agent_info.return_value = mock_agent_info\n\n    mock_tools = [{\"tool_id\": 1, \"name\": \"Tool 1\"}]\n    mock_search_tools.return_value = mock_tools\n\n    mock_sub_agent_ids = [101, 102]\n    mock_query_sub_agents_id.return_value = mock_sub_agent_ids\n\n    # Mock model info for main model\n    mock_main_model_info = {\n        \"model_id\": 456,\n        \"display_name\": \"GPT-4\",\n        \"provider\": \"openai\"\n    }\n\n    # Mock model info for business logic model\n    mock_business_logic_model_info = {\n        \"model_id\": 789,\n        \"display_name\": \"Claude-3.5\",\n        \"provider\": \"anthropic\"\n    }\n\n    # Mock get_model_by_model_id to return different values based on input\n    def mock_get_model(model_id):\n        if model_id == 456:\n            return mock_main_model_info\n        elif model_id == 789:\n            return mock_business_logic_model_info\n        return None\n\n    mock_get_model_by_model_id.side_effect = mock_get_model\n    mock_check_availability.return_value = (True, [])\n\n    # Execute\n    result = await get_agent_info_impl(agent_id=123, tenant_id=\"test_tenant\")\n\n    # Assert\n    expected_result = {\n        \"agent_id\": 123,\n        \"model_id\": 456,\n        \"business_logic_model_id\": 789,\n        \"business_description\": \"Test agent\",\n        \"tools\": mock_tools,\n        \"sub_agent_id_list\": mock_sub_agent_ids,\n        \"model_name\": \"GPT-4\",\n        \"business_logic_model_name\": \"Claude-3.5\",\n        \"is_available\": True,\n        \"unavailable_reasons\": []\n    }\n    assert result == expected_result\n\n    # Verify both models were looked up\n    assert mock_get_model_by_model_id.call_count == 2\n    mock_get_model_by_model_id.assert_any_call(456)\n    mock_get_model_by_model_id.assert_any_call(789)\n\n\n@patch('backend.services.agent_service.check_agent_availability')\n@patch('backend.services.agent_service.get_model_by_model_id')\n@patch('backend.services.agent_service.query_sub_agents_id_list')\n@patch('backend.services.agent_service.search_tools_for_sub_agent')\n@patch('backend.services.agent_service.search_agent_info_by_agent_id')\n@pytest.mark.asyncio\nasync def test_get_agent_info_impl_with_business_logic_model_none(mock_search_agent_info, mock_search_tools, mock_query_sub_agents_id, mock_get_model_by_model_id, mock_check_availability):\n    \"\"\"\n    Test get_agent_info_impl with business_logic_model_id but get_model_by_model_id returns None.\n\n    This test verifies that:\n    1. The function correctly handles when business_logic_model_id is not None but get_model_by_model_id returns None\n    2. It sets business_logic_model_name to None when model_info is None\n    \"\"\"\n    # Setup\n    mock_agent_info = {\n        \"agent_id\": 123,\n        \"model_id\": 456,\n        \"business_logic_model_id\": 789,\n        \"business_description\": \"Test agent\"\n    }\n    mock_search_agent_info.return_value = mock_agent_info\n\n    mock_tools = [{\"tool_id\": 1, \"name\": \"Tool 1\"}]\n    mock_search_tools.return_value = mock_tools\n\n    mock_sub_agent_ids = [101, 102]\n    mock_query_sub_agents_id.return_value = mock_sub_agent_ids\n\n    # Mock model info for main model\n    mock_main_model_info = {\n        \"model_id\": 456,\n        \"display_name\": \"GPT-4\",\n        \"provider\": \"openai\"\n    }\n\n    # Mock get_model_by_model_id to return None for business_logic_model_id\n    def mock_get_model(model_id):\n        if model_id == 456:\n            return mock_main_model_info\n        elif model_id == 789:\n            return None  # Business logic model not found\n        return None\n\n    mock_get_model_by_model_id.side_effect = mock_get_model\n    mock_check_availability.return_value = (True, [])\n\n    # Execute\n    result = await get_agent_info_impl(agent_id=123, tenant_id=\"test_tenant\")\n\n    # Assert\n    expected_result = {\n        \"agent_id\": 123,\n        \"model_id\": 456,\n        \"business_logic_model_id\": 789,\n        \"business_description\": \"Test agent\",\n        \"tools\": mock_tools,\n        \"sub_agent_id_list\": mock_sub_agent_ids,\n        \"model_name\": \"GPT-4\",\n        \"business_logic_model_name\": None,  # Should be None when model info is not found\n        \"is_available\": True,\n        \"unavailable_reasons\": []\n    }\n    assert result == expected_result\n\n    # Verify both models were looked up\n    assert mock_get_model_by_model_id.call_count == 2\n    mock_get_model_by_model_id.assert_any_call(456)\n    mock_get_model_by_model_id.assert_any_call(789)\n\n\n@patch('backend.services.agent_service.check_agent_availability')\n@patch('backend.services.agent_service.get_model_by_model_id')\n@patch('backend.services.agent_service.query_sub_agents_id_list')\n@patch('backend.services.agent_service.search_tools_for_sub_agent')\n@patch('backend.services.agent_service.search_agent_info_by_agent_id')\n@pytest.mark.asyncio\nasync def test_get_agent_info_impl_with_business_logic_model_no_display_name(mock_search_agent_info, mock_search_tools, mock_query_sub_agents_id, mock_get_model_by_model_id, mock_check_availability):\n    \"\"\"\n    Test get_agent_info_impl with business_logic_model_id but model has no display_name.\n\n    This test verifies that:\n    1. The function correctly retrieves business logic model information when business_logic_model_id is not None\n    2. It sets business_logic_model_name to None when model_info exists but has no display_name\n    \"\"\"\n    # Setup\n    mock_agent_info = {\n        \"agent_id\": 123,\n        \"model_id\": 456,\n        \"business_logic_model_id\": 789,\n        \"business_description\": \"Test agent\"\n    }\n    mock_search_agent_info.return_value = mock_agent_info\n\n    mock_tools = [{\"tool_id\": 1, \"name\": \"Tool 1\"}]\n    mock_search_tools.return_value = mock_tools\n\n    mock_sub_agent_ids = [101, 102]\n    mock_query_sub_agents_id.return_value = mock_sub_agent_ids\n\n    # Mock model info for main model\n    mock_main_model_info = {\n        \"model_id\": 456,\n        \"display_name\": \"GPT-4\",\n        \"provider\": \"openai\"\n    }\n\n    # Mock model info for business logic model without display_name\n    mock_business_logic_model_info = {\n        \"model_id\": 789,\n        \"provider\": \"anthropic\"\n        # No display_name field\n    }\n\n    # Mock get_model_by_model_id to return different values based on input\n    def mock_get_model(model_id):\n        if model_id == 456:\n            return mock_main_model_info\n        elif model_id == 789:\n            return mock_business_logic_model_info\n        return None\n\n    mock_get_model_by_model_id.side_effect = mock_get_model\n    mock_check_availability.return_value = (True, [])\n\n    # Execute\n    result = await get_agent_info_impl(agent_id=123, tenant_id=\"test_tenant\")\n\n    # Assert\n    expected_result = {\n        \"agent_id\": 123,\n        \"model_id\": 456,\n        \"business_logic_model_id\": 789,\n        \"business_description\": \"Test agent\",\n        \"tools\": mock_tools,\n        \"sub_agent_id_list\": mock_sub_agent_ids,\n        \"model_name\": \"GPT-4\",\n        \"business_logic_model_name\": None,  # Should be None when display_name is not in model_info\n        \"is_available\": True,\n        \"unavailable_reasons\": []\n    }\n    assert result == expected_result\n\n    # Verify both models were looked up\n    assert mock_get_model_by_model_id.call_count == 2\n    mock_get_model_by_model_id.assert_any_call(456)\n    mock_get_model_by_model_id.assert_any_call(789)\n\n\n@pytest.mark.asyncio\n@patch(\"backend.services.agent_service.get_model_by_model_id\")\n@patch(\"backend.services.agent_service.check_agent_availability\")\n@patch(\"backend.services.agent_service.convert_string_to_list\")\n@patch(\"backend.services.agent_service.get_user_tenant_by_user_id\")\n@patch(\"backend.services.agent_service.query_group_ids_by_user\")\n@patch(\"backend.services.agent_service.query_all_agent_info_by_tenant_id\")\nasync def test_list_all_agent_info_impl_success(\n    mock_query_agents,\n    mock_query_groups,\n    mock_get_user_tenant,\n    mock_convert_list,\n    mock_check_availability,\n    mock_get_model,\n):\n    \"\"\"\n    Test successful retrieval of all agent information for admin user.\n\n    This test verifies that:\n    1. The function correctly queries all agents for a tenant\n    2. It checks agent availability\n    3. It returns a properly formatted list of agent information with permissions\n    \"\"\"\n    # Setup mock agents\n    mock_agents = [\n        {\n            \"agent_id\": 1,\n            \"name\": \"Agent 1\",\n            \"display_name\": \"Display Agent 1\",\n            \"description\": \"First test agent\",\n            \"enabled\": True,\n            \"group_ids\": \"\",\n            \"created_by\": \"user1\",\n            \"create_time\": 1,\n            \"current_version_no\": None,  # Not published\n        },\n        {\n            \"agent_id\": 2,\n            \"name\": \"Agent 2\",\n            \"display_name\": \"Display Agent 2\",\n            \"description\": \"Second test agent\",\n            \"enabled\": True,\n            \"group_ids\": \"1,2,3\",\n            \"created_by\": \"user2\",\n            \"create_time\": 2,\n            \"current_version_no\": 1,  # Published\n        }\n    ]\n\n    # Configure mocks\n    mock_query_agents.return_value = mock_agents\n    mock_get_user_tenant.return_value = {\"user_role\": \"ADMIN\"}\n    mock_query_groups.return_value = []\n    mock_convert_list.side_effect = lambda x: [] if not x else [int(i) for i in x.split(\",\")]\n    mock_check_availability.side_effect = lambda *args, **kwargs: (True, [])\n    mock_get_model.return_value = None\n\n    # Execute\n    result = await list_all_agent_info_impl(tenant_id=\"test_tenant\", user_id=\"admin_user\")\n\n    # Assert\n    assert len(result) == 2\n    assert result[0][\"agent_id\"] == 1\n    assert result[0][\"name\"] == \"Agent 1\"\n    assert result[0][\"display_name\"] == \"Display Agent 1\"\n    assert result[0][\"is_available\"] == True\n    assert result[0][\"unavailable_reasons\"] == []\n    assert result[0][\"group_ids\"] == []\n    assert result[0][\"permission\"] == \"EDIT\"  # Admin can edit all\n    assert result[0][\"is_published\"] == False  # current_version_no is None\n    assert result[1][\"agent_id\"] == 2\n    assert result[1][\"name\"] == \"Agent 2\"\n    assert result[1][\"display_name\"] == \"Display Agent 2\"\n    assert result[1][\"is_available\"] == True\n    assert result[1][\"unavailable_reasons\"] == []\n    assert result[1][\"group_ids\"] == [1, 2, 3]\n    assert result[1][\"permission\"] == \"EDIT\"  # Admin can edit all\n    assert result[1][\"is_published\"] == True  # current_version_no is not None\n\n    # Verify mock calls\n    mock_query_agents.assert_called_once_with(tenant_id=\"test_tenant\")\n    mock_get_user_tenant.assert_called_once_with(\"admin_user\")\n\n\n@pytest.mark.asyncio\n@patch(\"backend.services.agent_service.get_model_by_model_id\")\n@patch(\"backend.services.agent_service.check_agent_availability\")\n@patch(\"backend.services.agent_service.convert_string_to_list\")\n@patch(\"backend.services.agent_service.get_user_tenant_by_user_id\")\n@patch(\"backend.services.agent_service.query_group_ids_by_user\")\n@patch(\"backend.services.agent_service.query_all_agent_info_by_tenant_id\")\nasync def test_list_all_agent_info_impl_is_published_field(\n    mock_query_agents,\n    mock_query_groups,\n    mock_get_user_tenant,\n    mock_convert_list,\n    mock_check_availability,\n    mock_get_model,\n):\n    \"\"\"\n    Test that is_published field is correctly set based on current_version_no.\n\n    This test verifies that:\n    1. is_published is False when current_version_no is None\n    2. is_published is False when current_version_no field is missing\n    3. is_published is True when current_version_no is not None\n    \"\"\"\n    # Setup mock agents with different current_version_no values\n    mock_agents = [\n        {\n            \"agent_id\": 1,\n            \"name\": \"Agent 1\",\n            \"display_name\": \"Display Agent 1\",\n            \"description\": \"Unpublished agent\",\n            \"enabled\": True,\n            \"group_ids\": \"\",\n            \"created_by\": \"user1\",\n            \"create_time\": 1,\n            \"current_version_no\": None,  # Not published\n        },\n        {\n            \"agent_id\": 2,\n            \"name\": \"Agent 2\",\n            \"display_name\": \"Display Agent 2\",\n            \"description\": \"Published agent\",\n            \"enabled\": True,\n            \"group_ids\": \"\",\n            \"created_by\": \"user2\",\n            \"create_time\": 2,\n            \"current_version_no\": 1,  # Published\n        },\n        {\n            \"agent_id\": 3,\n            \"name\": \"Agent 3\",\n            \"display_name\": \"Display Agent 3\",\n            \"description\": \"Agent without current_version_no field\",\n            \"enabled\": True,\n            \"group_ids\": \"\",\n            \"created_by\": \"user3\",\n            \"create_time\": 3,\n            # current_version_no field is missing\n        }\n    ]\n\n    # Configure mocks\n    mock_query_agents.return_value = mock_agents\n    mock_get_user_tenant.return_value = {\"user_role\": \"ADMIN\"}\n    mock_query_groups.return_value = []\n    mock_convert_list.side_effect = lambda x: [] if not x else [int(i) for i in x.split(\",\")]\n    mock_check_availability.side_effect = lambda *args, **kwargs: (True, [])\n    mock_get_model.return_value = None\n\n    # Execute\n    result = await list_all_agent_info_impl(tenant_id=\"test_tenant\", user_id=\"admin_user\")\n\n    # Assert\n    assert len(result) == 3\n    # Agent 1: current_version_no is None -> is_published should be False\n    assert result[0][\"agent_id\"] == 1\n    assert result[0][\"is_published\"] == False\n    # Agent 2: current_version_no is 1 -> is_published should be True\n    assert result[1][\"agent_id\"] == 2\n    assert result[1][\"is_published\"] == True\n    # Agent 3: current_version_no field is missing -> is_published should be False\n    assert result[2][\"agent_id\"] == 3\n    assert result[2][\"is_published\"] == False\n\n    # Verify mock calls\n    mock_query_agents.assert_called_once_with(tenant_id=\"test_tenant\")\n    mock_get_user_tenant.assert_called_once_with(\"admin_user\")\n\n\n@pytest.mark.asyncio\n@patch(\"backend.services.agent_service.get_model_by_model_id\")\n@patch(\"backend.services.agent_service.check_agent_availability\")\n@patch(\"backend.services.agent_service.convert_string_to_list\")\n@patch(\"backend.services.agent_service.get_user_tenant_by_user_id\")\n@patch(\"backend.services.agent_service.query_group_ids_by_user\")\n@patch(\"backend.services.agent_service.query_all_agent_info_by_tenant_id\")\nasync def test_list_all_agent_info_impl_model_cache_miss_fetches_model(\n    mock_query_all,\n    mock_query_groups,\n    mock_get_user_tenant,\n    mock_convert_list,\n    mock_check_availability,\n    mock_get_model,\n):\n    \"\"\"list_all_agent_info_impl should fetch model when model_id not in cache.\"\"\"\n    mock_query_all.return_value = [\n        {\n            \"agent_id\": 1,\n            \"name\": \"Agent 1\",\n            \"display_name\": \"Display Agent 1\",\n            \"description\": \"First test agent\",\n            \"enabled\": True,\n            \"model_id\": 99,\n            \"group_ids\": \"\",\n            \"created_by\": \"user1\",\n            \"create_time\": 1,\n        }\n    ]\n\n    mock_get_user_tenant.return_value = {\"user_role\": \"ADMIN\"}\n    mock_query_groups.return_value = []\n    mock_convert_list.return_value = []\n    # Do not mutate model_cache here so that the \"model_id not in model_cache\" branch runs.\n    mock_check_availability.side_effect = lambda *args, **kwargs: (True, [])\n    mock_get_model.return_value = {\"model_name\": \"m\", \"display_name\": \"M\"}\n\n    result = await list_all_agent_info_impl(tenant_id=\"test_tenant\", user_id=\"admin_user\")\n\n    assert len(result) == 1\n    assert result[0][\"model_id\"] == 99\n    assert result[0][\"model_name\"] == \"m\"\n    assert result[0][\"model_display_name\"] == \"M\"\n    mock_get_model.assert_called_once_with(99, \"test_tenant\")\n\n\n@pytest.mark.asyncio\n@patch(\"backend.services.agent_service.get_model_by_model_id\")\n@patch(\"backend.services.agent_service.check_agent_availability\")\n@patch(\"backend.services.agent_service.convert_string_to_list\")\n@patch(\"backend.services.agent_service.get_user_tenant_by_user_id\")\n@patch(\"backend.services.agent_service.query_group_ids_by_user\")\n@patch(\"backend.services.agent_service.query_all_agent_info_by_tenant_id\")\nasync def test_list_all_agent_info_impl_with_unavailable_tools(\n    mock_query_agents,\n    mock_query_groups,\n    mock_get_user_tenant,\n    mock_convert_list,\n    mock_check_availability,\n    mock_get_model,\n):\n    \"\"\"\n    Test retrieval of agent information with some unavailable tools.\n\n    This test verifies that:\n    1. The function correctly handles cases where some tools are unavailable\n    2. It properly sets the is_available flag based on tool availability\n    \"\"\"\n    # Setup mock agents\n    mock_agents = [\n        {\n            \"agent_id\": 1,\n            \"name\": \"Agent 1\",\n            \"display_name\": \"Display Agent 1\",\n            \"description\": \"Agent with available tools\",\n            \"enabled\": True,\n            \"group_ids\": \"\",\n            \"created_by\": \"user1\",\n            \"create_time\": 1,\n        },\n        {\n            \"agent_id\": 2,\n            \"name\": \"Agent 2\",\n            \"display_name\": \"Display Agent 2\",\n            \"description\": \"Agent with unavailable tools\",\n            \"enabled\": True,\n            \"group_ids\": \"5,6\",\n            \"created_by\": \"user2\",\n            \"create_time\": 2,\n        }\n    ]\n\n    mock_query_agents.return_value = mock_agents\n    mock_get_user_tenant.return_value = {\"user_role\": \"ADMIN\"}\n    mock_query_groups.return_value = []\n    mock_convert_list.side_effect = lambda x: [] if not x else [int(i) for i in x.split(\",\")]\n    # First agent has available tools, second agent has unavailable tools\n    mock_check_availability.side_effect = [\n        (True, []),  # Agent 1: available\n        (False, [\"tool_unavailable\"])  # Agent 2: unavailable\n    ]\n    mock_get_model.return_value = None\n\n    # Execute\n    result = await list_all_agent_info_impl(tenant_id=\"test_tenant\", user_id=\"admin_user\")\n\n    # Assert\n    assert len(result) == 2\n    assert result[0][\"is_available\"] == True\n    assert result[0][\"unavailable_reasons\"] == []\n    assert result[0][\"group_ids\"] == []\n    assert result[1][\"is_available\"] == False\n    assert result[1][\"unavailable_reasons\"] == [\"tool_unavailable\"]\n    assert result[1][\"group_ids\"] == [5, 6]\n\n    # Verify mock calls\n    mock_query_agents.assert_called_once_with(tenant_id=\"test_tenant\")\n\n\n@pytest.mark.asyncio\n@patch(\"backend.services.agent_service.get_user_tenant_by_user_id\")\n@patch(\"backend.services.agent_service.query_all_agent_info_by_tenant_id\")\nasync def test_list_all_agent_info_impl_query_error(\n    mock_query_agents,\n    mock_get_user_tenant,\n):\n    \"\"\"\n    Test error handling when querying agent information fails.\n\n    This test verifies that:\n    1. When an error occurs during agent query\n    2. The function raises a ValueError with an appropriate message\n    \"\"\"\n    mock_get_user_tenant.return_value = {\"user_role\": \"ADMIN\"}\n    # Configure mock to raise exception\n    mock_query_agents.side_effect = Exception(\"Database error\")\n\n    # Execute & Assert\n    with pytest.raises(ValueError) as context:\n        await list_all_agent_info_impl(tenant_id=\"test_tenant\", user_id=\"admin_user\")\n\n    assert \"Failed to query all agent info\" in str(context.value)\n    mock_query_agents.assert_called_once_with(tenant_id=\"test_tenant\")\n\n\n@pytest.mark.asyncio\n@patch(\"backend.services.agent_service.get_model_by_model_id\")\n@patch(\"backend.services.agent_service.check_agent_availability\")\n@patch(\"backend.services.agent_service.convert_string_to_list\")\n@patch(\"backend.services.agent_service.get_user_tenant_by_user_id\")\n@patch(\"backend.services.agent_service.query_group_ids_by_user\")\n@patch(\"backend.services.agent_service.query_all_agent_info_by_tenant_id\")\nasync def test_list_all_agent_info_impl_model_unavailable(\n    mock_query_agents,\n    mock_query_groups,\n    mock_get_user_tenant,\n    mock_convert_list,\n    mock_check_availability,\n    mock_get_model,\n):\n    mock_agents = [\n        {\n            \"agent_id\": 1,\n            \"name\": \"Agent 1\",\n            \"display_name\": \"Display Agent 1\",\n            \"description\": \"Agent with unavailable model\",\n            \"enabled\": True,\n            \"model_id\": 101,\n            \"group_ids\": \"7,8,9\",\n            \"created_by\": \"user1\",\n            \"create_time\": 1,\n            \"current_version_no\": None,\n        }\n    ]\n\n    mock_query_agents.return_value = mock_agents\n    mock_get_user_tenant.return_value = {\"user_role\": \"ADMIN\"}\n    mock_query_groups.return_value = []\n    mock_convert_list.side_effect = lambda x: [] if not x else [int(i) for i in x.split(\",\")]\n    mock_check_availability.side_effect = lambda *args, **kwargs: (False, [\"model_unavailable\"])\n    mock_get_model.return_value = None\n\n    result = await list_all_agent_info_impl(tenant_id=\"test_tenant\", user_id=\"admin_user\")\n\n    assert len(result) == 1\n    assert result[0][\"is_available\"] is False\n    assert result[0][\"unavailable_reasons\"] == [\"model_unavailable\"]\n    assert result[0][\"group_ids\"] == [7, 8, 9]\n    assert result[0][\"is_published\"] == False  # current_version_no is None\n\n\n@pytest.mark.asyncio\n@patch(\"backend.services.agent_service.get_model_by_model_id\")\n@patch(\"backend.services.agent_service.check_agent_availability\")\n@patch(\"backend.services.agent_service.convert_string_to_list\")\n@patch(\"backend.services.agent_service.get_user_tenant_by_user_id\")\n@patch(\"backend.services.agent_service.query_group_ids_by_user\")\n@patch(\"backend.services.agent_service.query_all_agent_info_by_tenant_id\")\nasync def test_list_all_agent_info_impl_duplicate_names(\n    mock_query_agents,\n    mock_query_groups,\n    mock_get_user_tenant,\n    mock_convert_list,\n    mock_check_availability,\n    mock_get_model,\n):\n    mock_agents = [\n        {\n            \"agent_id\": 1,\n            \"name\": \"Duplicated\",\n            \"create_time\": 1,\n            \"display_name\": \"Agent Display 1\",\n            \"description\": \"First agent\",\n            \"enabled\": True,\n            \"group_ids\": \"10\",\n            \"created_by\": \"user1\",\n        },\n        {\n            \"agent_id\": 2,\n            \"name\": \"Duplicated\",\n            \"create_time\": 2,\n            \"display_name\": \"Agent Display 2\",\n            \"description\": \"Second agent\",\n            \"enabled\": True,\n            \"group_ids\": \"10,11\",\n            \"created_by\": \"user2\",\n        }\n    ]\n\n    mock_query_agents.return_value = mock_agents\n    mock_get_user_tenant.return_value = {\"user_role\": \"ADMIN\"}\n    mock_query_groups.return_value = []\n    mock_convert_list.side_effect = lambda x: [] if not x else [int(i) for i in x.split(\",\")]\n    mock_check_availability.side_effect = lambda *args, **kwargs: (True, [])\n    mock_get_model.return_value = None\n\n    result = await list_all_agent_info_impl(tenant_id=\"test_tenant\", user_id=\"admin_user\")\n\n    assert len(result) == 2\n\n    # The earliest created agent (agent_id=1) should remain available\n    agent1 = next(a for a in result if a[\"agent_id\"] == 1)\n    assert agent1[\"is_available\"] is True\n    assert \"duplicate_name\" not in agent1[\"unavailable_reasons\"]\n    assert agent1[\"group_ids\"] == [10]\n    assert agent1[\"is_published\"] == False  # current_version_no is missing/None\n\n    # The later created agent (agent_id=2) should be unavailable due to duplication\n    agent2 = next(a for a in result if a[\"agent_id\"] == 2)\n    assert agent2[\"is_available\"] is False\n    assert \"duplicate_name\" in agent2[\"unavailable_reasons\"]\n    assert agent2[\"group_ids\"] == [10, 11]\n    assert agent2[\"is_published\"] == False  # current_version_no is missing/None\n\n\n@pytest.mark.asyncio\n@patch(\"backend.services.agent_service.get_model_by_model_id\")\n@patch(\"backend.services.agent_service.check_agent_availability\")\n@patch(\"backend.services.agent_service.convert_string_to_list\")\n@patch(\"backend.services.agent_service.get_user_tenant_by_user_id\")\n@patch(\"backend.services.agent_service.query_group_ids_by_user\")\n@patch(\"backend.services.agent_service.query_all_agent_info_by_tenant_id\")\nasync def test_list_all_agent_info_impl_user_permission_read_only(\n    mock_query_agents,\n    mock_query_groups,\n    mock_get_user_tenant,\n    mock_convert_list,\n    mock_check_availability,\n    mock_get_model,\n):\n    \"\"\"Test that regular users get READ_ONLY permission for agents they didn't create.\"\"\"\n    mock_agents = [\n        {\n            \"agent_id\": 1,\n            \"name\": \"Agent 1\",\n            \"display_name\": \"Display Agent 1\",\n            \"description\": \"Agent created by user1\",\n            \"enabled\": True,\n            \"group_ids\": \"1\",  # Agent in group 1\n            \"created_by\": \"user1\",\n            \"create_time\": 1,\n        },\n        {\n            \"agent_id\": 2,\n            \"name\": \"Agent 2\",\n            \"display_name\": \"Display Agent 2\",\n            \"description\": \"Agent created by current_user\",\n            \"enabled\": True,\n            \"group_ids\": \"1\",  # Agent in group 1\n            \"created_by\": \"current_user\",\n            \"create_time\": 2,\n        }\n    ]\n\n    mock_query_agents.return_value = mock_agents\n    mock_get_user_tenant.return_value = {\"user_role\": \"USER\"}  # Regular user, not admin\n    mock_query_groups.return_value = [1]  # User is in group 1, so can see both agents\n\n    # Mock convert_string_to_list to handle both empty strings and comma-separated values\n    # This should match the actual implementation in utils.str_utils\n    def convert_side_effect(x):\n        if not x or (isinstance(x, str) and x.strip() == \"\"):\n            return []\n        # Handle comma-separated string like \"1\" or \"1,2\"\n        parts = str(x).split(\",\")\n        result = []\n        for part in parts:\n            stripped = part.strip()\n            if stripped and stripped.isdigit():\n                result.append(int(stripped))\n        return result\n    mock_convert_list.side_effect = convert_side_effect\n\n    # Mock check_agent_availability to return (is_available, unavailable_reasons)\n    mock_check_availability.return_value = (True, [])\n    mock_get_model.return_value = None\n\n    result = await list_all_agent_info_impl(tenant_id=\"test_tenant\", user_id=\"current_user\")\n\n    assert len(result) == 2\n    # Agent created by user1 - current_user should have READ_ONLY\n    agent1 = next(a for a in result if a[\"agent_id\"] == 1)\n    assert agent1[\"permission\"] == \"READ_ONLY\"\n    # Agent created by current_user - should have EDIT\n    agent2 = next(a for a in result if a[\"agent_id\"] == 2)\n    assert agent2[\"permission\"] == \"EDIT\"\n\n\n@pytest.mark.asyncio\n@patch(\"backend.services.agent_service.get_model_by_model_id\")\n@patch(\"backend.services.agent_service.check_agent_availability\")\n@patch(\"backend.services.agent_service.convert_string_to_list\")\n@patch(\"backend.services.agent_service.get_user_tenant_by_user_id\")\n@patch(\"backend.services.agent_service.query_group_ids_by_user\")\n@patch(\"backend.services.agent_service.query_all_agent_info_by_tenant_id\")\nasync def test_list_all_agent_info_impl_group_filtering(\n    mock_query_agents,\n    mock_query_groups,\n    mock_get_user_tenant,\n    mock_convert_list,\n    mock_check_availability,\n    mock_get_model,\n):\n    \"\"\"Test that regular users only see agents whose group_ids overlap with their groups.\"\"\"\n    mock_agents = [\n        {\n            \"agent_id\": 1,\n            \"name\": \"Agent 1\",\n            \"display_name\": \"Display Agent 1\",\n            \"description\": \"Agent in group 1\",\n            \"enabled\": True,\n            \"group_ids\": \"1,2\",\n            \"created_by\": \"user1\",\n            \"create_time\": 1,\n        },\n        {\n            \"agent_id\": 2,\n            \"name\": \"Agent 2\",\n            \"display_name\": \"Display Agent 2\",\n            \"description\": \"Agent in group 3\",\n            \"enabled\": True,\n            \"group_ids\": \"3,4\",\n            \"created_by\": \"user2\",\n            \"create_time\": 2,\n        },\n        {\n            \"agent_id\": 3,\n            \"name\": \"Agent 3\",\n            \"display_name\": \"Display Agent 3\",\n            \"description\": \"Agent in group 1 (same as user)\",\n            \"enabled\": True,\n            \"group_ids\": \"1\",  # Agent in group 1, which overlaps with user's groups\n            \"created_by\": \"user3\",\n            \"create_time\": 3,\n        }\n    ]\n\n    mock_query_agents.return_value = mock_agents\n    mock_get_user_tenant.return_value = {\"user_role\": \"USER\"}  # Regular user\n    mock_query_groups.return_value = [1, 2]  # User is in groups 1 and 2\n\n    # Mock convert_string_to_list to handle both empty strings and comma-separated values\n    # This should match the actual implementation in utils.str_utils\n    def convert_side_effect(x):\n        if not x or (isinstance(x, str) and x.strip() == \"\"):\n            return []\n        # Handle comma-separated string like \"1\" or \"1,2\"\n        parts = str(x).split(\",\")\n        result = []\n        for part in parts:\n            stripped = part.strip()\n            if stripped and stripped.isdigit():\n                result.append(int(stripped))\n        return result\n    mock_convert_list.side_effect = convert_side_effect\n\n    # Mock check_agent_availability to return (is_available, unavailable_reasons)\n    mock_check_availability.return_value = (True, [])\n    mock_get_model.return_value = None\n\n    result = await list_all_agent_info_impl(tenant_id=\"test_tenant\", user_id=\"regular_user\")\n\n    # Should only see Agent 1 (overlaps with user's groups 1,2) and Agent 3 (overlaps with group 1)\n    # Agent 2 should be filtered out (groups 3,4 don't overlap with user's groups 1,2)\n    assert len(result) == 2\n    agent_ids = [a[\"agent_id\"] for a in result]\n    assert 1 in agent_ids\n    assert 3 in agent_ids\n    assert 2 not in agent_ids\n\n\n@pytest.mark.asyncio\n@patch(\"backend.services.agent_service.get_model_by_model_id\")\n@patch(\"backend.services.agent_service.check_agent_availability\")\n@patch(\"backend.services.agent_service.convert_string_to_list\")\n@patch(\"backend.services.agent_service.get_user_tenant_by_user_id\")\n@patch(\"backend.services.agent_service.query_group_ids_by_user\")\n@patch(\"backend.services.agent_service.query_all_agent_info_by_tenant_id\")\nasync def test_list_all_agent_info_impl_creator_can_see_own_agent_without_group_overlap(\n    mock_query_agents,\n    mock_query_groups,\n    mock_get_user_tenant,\n    mock_convert_list,\n    mock_check_availability,\n    mock_get_model,\n):\n    \"\"\"Test that users can see agents they created even if group_ids don't overlap.\"\"\"\n    mock_agents = [\n        {\n            \"agent_id\": 1,\n            \"name\": \"Agent 1\",\n            \"display_name\": \"Display Agent 1\",\n            \"description\": \"Agent created by current_user, but in different groups\",\n            \"enabled\": True,\n            \"group_ids\": \"5,6\",  # Different groups from user's groups [1, 2]\n            \"created_by\": \"current_user\",  # User is the creator\n            \"create_time\": 1,\n        },\n        {\n            \"agent_id\": 2,\n            \"name\": \"Agent 2\",\n            \"display_name\": \"Display Agent 2\",\n            \"description\": \"Agent not created by current_user, no group overlap\",\n            \"enabled\": True,\n            \"group_ids\": \"7,8\",  # Different groups from user's groups [1, 2]\n            \"created_by\": \"other_user\",  # User is NOT the creator\n            \"create_time\": 2,\n        },\n        {\n            \"agent_id\": 3,\n            \"name\": \"Agent 3\",\n            \"display_name\": \"Display Agent 3\",\n            \"description\": \"Agent with group overlap\",\n            \"enabled\": True,\n            \"group_ids\": \"1,9\",  # Overlaps with user's group 1\n            \"created_by\": \"another_user\",\n            \"create_time\": 3,\n        }\n    ]\n\n    mock_query_agents.return_value = mock_agents\n    mock_get_user_tenant.return_value = {\"user_role\": \"USER\"}  # Regular user\n    mock_query_groups.return_value = [1, 2]  # User is in groups 1 and 2\n\n    # Mock convert_string_to_list to handle both empty strings and comma-separated values\n    def convert_side_effect(x):\n        if not x or (isinstance(x, str) and x.strip() == \"\"):\n            return []\n        parts = str(x).split(\",\")\n        result = []\n        for part in parts:\n            stripped = part.strip()\n            if stripped and stripped.isdigit():\n                result.append(int(stripped))\n        return result\n    mock_convert_list.side_effect = convert_side_effect\n\n    # Mock check_agent_availability to return (is_available, unavailable_reasons)\n    mock_check_availability.return_value = (True, [])\n    mock_get_model.return_value = None\n\n    result = await list_all_agent_info_impl(tenant_id=\"test_tenant\", user_id=\"current_user\")\n\n    # Should see:\n    # - Agent 1: created by current_user (creators can always see their own agents, even without group overlap)\n    # - Agent 3: groups overlap (1 is in both user's groups and agent's groups)\n    # Should NOT see:\n    # - Agent 2: not created by current_user AND groups don't overlap\n    assert len(result) == 2\n    agent_ids = [a[\"agent_id\"] for a in result]\n    assert 1 in agent_ids, \"Agent 1 should be visible because user is the creator\"\n    assert 3 in agent_ids, \"Agent 3 should be visible because groups overlap\"\n    assert 2 not in agent_ids, \"Agent 2 should be filtered out (not creator and no group overlap)\"\n\n\n@pytest.mark.asyncio\n@patch(\"backend.services.agent_service.get_model_by_model_id\")\n@patch(\"backend.services.agent_service.check_agent_availability\")\n@patch(\"backend.services.agent_service.convert_string_to_list\")\n@patch(\"backend.services.agent_service.get_user_tenant_by_user_id\")\n@patch(\"backend.services.agent_service.query_group_ids_by_user\")\n@patch(\"backend.services.agent_service.query_all_agent_info_by_tenant_id\")\nasync def test_list_all_agent_info_impl_disabled_agents_filtered(\n    mock_query_agents,\n    mock_query_groups,\n    mock_get_user_tenant,\n    mock_convert_list,\n    mock_check_availability,\n    mock_get_model,\n):\n    \"\"\"Test that disabled agents are filtered out.\"\"\"\n    mock_agents = [\n        {\n            \"agent_id\": 1,\n            \"name\": \"Agent 1\",\n            \"display_name\": \"Display Agent 1\",\n            \"description\": \"Enabled agent\",\n            \"enabled\": True,\n            \"group_ids\": \"\",\n            \"created_by\": \"user1\",\n            \"create_time\": 1,\n        },\n        {\n            \"agent_id\": 2,\n            \"name\": \"Agent 2\",\n            \"display_name\": \"Display Agent 2\",\n            \"description\": \"Disabled agent\",\n            \"enabled\": False,\n            \"group_ids\": \"\",\n            \"created_by\": \"user2\",\n            \"create_time\": 2,\n        }\n    ]\n\n    mock_query_agents.return_value = mock_agents\n    mock_get_user_tenant.return_value = {\"user_role\": \"ADMIN\"}\n    # For admin users, query_group_ids_by_user is not called, but we still need to mock it\n    mock_query_groups.return_value = []\n    mock_convert_list.return_value = []\n    # Mock check_agent_availability to return (is_available, unavailable_reasons)\n    mock_check_availability.return_value = (True, [])\n    mock_get_model.return_value = None\n\n    result = await list_all_agent_info_impl(tenant_id=\"test_tenant\", user_id=\"admin_user\")\n\n    # Should only see enabled agent (disabled agents are filtered out)\n    assert len(result) == 1\n    assert result[0][\"agent_id\"] == 1\n    assert result[0][\"name\"] == \"Agent 1\"\n\n\n@pytest.mark.asyncio\n@patch(\"backend.services.agent_service.get_model_by_model_id\")\n@patch(\"backend.services.agent_service.check_agent_availability\")\n@patch(\"backend.services.agent_service.convert_string_to_list\")\n@patch(\"backend.services.agent_service.get_user_tenant_by_user_id\")\n@patch(\"backend.services.agent_service.query_group_ids_by_user\")\n@patch(\"backend.services.agent_service.query_all_agent_info_by_tenant_id\")\nasync def test_list_all_agent_info_impl_group_query_error_handled(\n    mock_query_agents,\n    mock_query_groups,\n    mock_get_user_tenant,\n    mock_convert_list,\n    mock_check_availability,\n    mock_get_model,\n):\n    \"\"\"Test that group query errors are handled gracefully - admin users are not affected.\"\"\"\n    mock_agents = [\n        {\n            \"agent_id\": 1,\n            \"name\": \"Agent 1\",\n            \"display_name\": \"Display Agent 1\",\n            \"description\": \"Test agent\",\n            \"enabled\": True,\n            \"group_ids\": \"\",\n            \"created_by\": \"user1\",\n            \"create_time\": 1,\n        }\n    ]\n\n    mock_query_agents.return_value = mock_agents\n    # Use ADMIN user - group query errors don't affect admin users since they bypass group filtering\n    mock_get_user_tenant.return_value = {\"user_role\": \"ADMIN\"}\n    # For admin users, query_group_ids_by_user is not called (can_edit_all is True)\n    # But if it were called and failed, it should be handled gracefully\n    mock_query_groups.side_effect = Exception(\"Database error\")  # Simulate error\n    mock_convert_list.return_value = []\n    # Mock check_agent_availability to return (is_available, unavailable_reasons)\n    mock_check_availability.return_value = (True, [])\n    mock_get_model.return_value = None\n\n    # Should not raise exception, but should handle gracefully\n    # Admin users bypass group filtering, so they should see all agents\n    result = await list_all_agent_info_impl(tenant_id=\"test_tenant\", user_id=\"admin_user\")\n\n    # Admin users should still see agents even if group query fails\n    assert len(result) == 1\n    assert result[0][\"agent_id\"] == 1\n\n\n@pytest.mark.asyncio\n@patch(\"backend.services.agent_service.get_model_by_model_id\")\n@patch(\"backend.services.agent_service.check_agent_availability\")\n@patch(\"backend.services.agent_service.convert_string_to_list\")\n@patch(\"backend.services.agent_service.get_user_tenant_by_user_id\")\n@patch(\"backend.services.agent_service.query_group_ids_by_user\")\n@patch(\"backend.services.agent_service.query_all_agent_info_by_tenant_id\")\nasync def test_list_all_agent_info_impl_group_query_error_for_user_role(\n    mock_query_agents,\n    mock_query_groups,\n    mock_get_user_tenant,\n    mock_convert_list,\n    mock_check_availability,\n    mock_get_model,\n):\n    \"\"\"Test that group query errors are handled gracefully for USER/DEV roles - covers lines 1274-1278.\"\"\"\n    mock_agents = [\n        {\n            \"agent_id\": 1,\n            \"name\": \"Agent 1\",\n            \"display_name\": \"Display Agent 1\",\n            \"description\": \"Test agent\",\n            \"enabled\": True,\n            \"group_ids\": \"1,2\",\n            \"created_by\": \"other_user\",  # Different from user_id to test filtering logic\n            \"create_time\": 1,\n        }\n    ]\n\n    mock_query_agents.return_value = mock_agents\n    # Use USER role - group query errors should be handled gracefully\n    mock_get_user_tenant.return_value = {\"user_role\": \"USER\"}\n    # Simulate exception when querying group IDs - this should trigger lines 1274-1278\n    mock_query_groups.side_effect = Exception(\"Database connection error\")\n\n    # Mock convert_string_to_list to handle comma-separated values\n    def convert_side_effect(x):\n        if not x or (isinstance(x, str) and x.strip() == \"\"):\n            return []\n        parts = str(x).split(\",\")\n        result = []\n        for part in parts:\n            stripped = part.strip()\n            if stripped and stripped.isdigit():\n                result.append(int(stripped))\n        return result\n    mock_convert_list.side_effect = convert_side_effect\n\n    # Mock check_agent_availability to return (is_available, unavailable_reasons)\n    mock_check_availability.return_value = (True, [])\n    mock_get_model.return_value = None\n\n    # Should not raise exception, but should handle gracefully\n    # When group query fails, user_group_ids is set to empty set\n    # Agent is not created by user1, so it should be filtered out (no group overlap and not creator)\n    result = await list_all_agent_info_impl(tenant_id=\"test_tenant\", user_id=\"user1\")\n\n    # Since user_group_ids is empty set (due to exception) and user is not the creator,\n    # agent should be filtered out according to line 1328 logic\n    assert len(result) == 0\n    # Verify that query_group_ids_by_user was called (to trigger the exception)\n    mock_query_groups.assert_called_once_with(\"user1\")\n\n\n@patch('backend.services.agent_service.query_sub_agents_id_list')\n@patch('backend.services.agent_service.create_tool_config_list', new_callable=AsyncMock)\n@patch('backend.services.agent_service.search_agent_info_by_agent_id')\n@pytest.mark.asyncio\nasync def test_export_agent_by_agent_id_success(mock_search_agent_info, mock_create_tool_config,\n                                                mock_query_sub_agents_id):\n    \"\"\"\n    Test successful export of agent information by agent ID.\n\n    This test verifies that:\n    1. The function correctly retrieves agent information\n    2. It creates tool configuration list\n    3. It gets sub-agent ID list\n    4. It returns properly structured ExportAndImportAgentInfo\n    \"\"\"\n    # Setup\n    mock_agent_info = {\n        \"name\": \"Test Agent\",\n        \"display_name\": \"Test Agent Display\",\n        \"description\": \"A test agent\",\n        \"business_description\": \"For testing purposes\",\n        \"max_steps\": 10,\n        \"provide_run_summary\": True,\n        \"duty_prompt\": \"Test duty prompt\",\n        \"constraint_prompt\": \"Test constraint prompt\",\n        \"few_shots_prompt\": \"Test few shots prompt\",\n        \"enabled\": True\n    }\n    mock_search_agent_info.return_value = mock_agent_info\n\n    mock_tools = [\n        ToolConfig(\n            class_name=\"Tool1\",\n            name=\"Tool One\",\n            source=\"source1\",\n            params={\"param1\": \"value1\"},\n            metadata={},\n            description=\"Tool 1 description\",\n            inputs=\"input description\",\n            output_type=\"output type description\",\n            usage=None\n        ),\n        ToolConfig(\n            class_name=\"KnowledgeBaseSearchTool\",\n            name=\"Knowledge Search\",\n            source=\"source2\",\n            params={\"param2\": \"value2\"},\n            metadata={\"some\": \"data\"},\n            description=\"Knowledge base search tool\",\n            inputs=\"search query\",\n            output_type=\"search results\",\n            usage=None\n        ),\n        ToolConfig(\n            class_name=\"AnalyzeTextFileTool\",\n            name=\"Text Analyzer\",\n            source=\"source3\",\n            params={\"param4\": \"value4\"},\n            metadata={\"text\": \"data\"},\n            description=\"Text analysis tool\",\n            inputs=\"text file\",\n            output_type=\"analysis\",\n            usage=None\n        ),\n        ToolConfig(\n            class_name=\"AnalyzeImageTool\",\n            name=\"Image Analyzer\",\n            source=\"source4\",\n            params={\"param5\": \"value5\"},\n            metadata={\"image\": \"data\"},\n            description=\"Image analysis tool\",\n            inputs=\"image file\",\n            output_type=\"analysis result\",\n            usage=None\n        ),\n        ToolConfig(\n            class_name=\"MCPTool\",\n            name=\"MCP Tool\",\n            source=\"mcp\",\n            params={\"param3\": \"value3\"},\n            metadata={},\n            description=\"MCP tool description\",\n            inputs=\"mcp input\",\n            output_type=\"mcp output\",\n            usage=\"test_mcp_server\"\n        )\n    ]\n    mock_create_tool_config.return_value = mock_tools\n\n    mock_sub_agent_ids = [456, 789]\n    mock_query_sub_agents_id.return_value = mock_sub_agent_ids\n\n    # Execute\n    with patch('backend.services.agent_service.ExportAndImportAgentInfo', new=ExportAndImportAgentInfo):\n        result = await export_agent_by_agent_id(\n            agent_id=123,\n            tenant_id=\"test_tenant\",\n            user_id=\"test_user\"\n        )\n\n    # Assert\n    assert result.agent_id == 123\n    assert result.name == \"Test Agent\"\n    assert result.business_description == \"For testing purposes\"\n    assert len(result.tools) == 5\n    assert result.managed_agents == mock_sub_agent_ids\n\n    # Verify KnowledgeBaseSearchTool metadata is empty\n    knowledge_tool = next(\n        tool for tool in result.tools if tool.class_name == \"KnowledgeBaseSearchTool\")\n    assert knowledge_tool.metadata == {}\n\n    analyze_text_tool = next(\n        tool for tool in result.tools if tool.class_name == \"AnalyzeTextFileTool\")\n    assert analyze_text_tool.metadata == {}\n\n    analyze_image_tool = next(\n        tool for tool in result.tools if tool.class_name == \"AnalyzeImageTool\")\n    assert analyze_image_tool.metadata == {}\n\n    # Verify MCP tool has usage field\n    mcp_tool = next(\n        tool for tool in result.tools if tool.class_name == \"MCPTool\")\n    assert mcp_tool.usage == \"test_mcp_server\"\n\n    # Verify function calls\n    mock_search_agent_info.assert_called_once_with(\n        agent_id=123, tenant_id=\"test_tenant\")\n    mock_create_tool_config.assert_called_once_with(\n        agent_id=123, tenant_id=\"test_tenant\", user_id=\"test_user\")\n    mock_query_sub_agents_id.assert_called_once_with(\n        main_agent_id=123, tenant_id=\"test_tenant\")\n\n\n@patch('backend.services.agent_service.create_or_update_tool_by_tool_info')\n@patch('backend.services.agent_service.create_agent')\n@patch('backend.services.agent_service.query_all_tools')\n@pytest.mark.asyncio\nasync def test_import_agent_by_agent_id_success(mock_query_all_tools, mock_create_agent, mock_create_tool):\n    \"\"\"\n    Test successful import of agent by agent ID.\n\n    This test verifies that:\n    1. The function correctly retrieves agent information\n    2. It creates tool configuration list\n    3. It gets sub-agent ID list\n    4. It returns properly structured ExportAndImportAgentInfo\n    \"\"\"\n    # Setup\n    mock_tool_info = [\n        {\n            \"tool_id\": 101,\n            \"class_name\": \"Tool1\",\n            \"source\": \"source1\",\n            \"params\": [{\"name\": \"param1\", \"type\": \"string\"}],\n            \"description\": \"Tool 1 description\",\n            \"name\": \"Tool One\",\n            \"inputs\": \"input description\",\n            \"output_type\": \"output type description\"\n        }\n    ]\n    mock_query_all_tools.return_value = mock_tool_info\n\n    mock_create_agent.return_value = {\"agent_id\": 456}\n\n    # Create import data\n    tool_config = ToolConfig(\n        class_name=\"Tool1\",\n        name=\"Tool One\",\n        source=\"source1\",\n        params={\"param1\": \"value1\"},\n        metadata={},\n        description=\"Tool 1 description\",\n        inputs=\"input description\",\n        output_type=\"output type description\",\n        usage=None\n    )\n\n    agent_info = ExportAndImportAgentInfo(\n        agent_id=123,\n        name=\"valid_agent_name\",\n        display_name=\"Valid Agent Display Name\",\n        description=\"Imported description\",\n        business_description=\"Imported business description\",\n        max_steps=5,\n        provide_run_summary=True,\n        duty_prompt=\"Imported duty prompt\",\n        constraint_prompt=\"Imported constraint prompt\",\n        few_shots_prompt=\"Imported few shots prompt\",\n        enabled=True,\n        tools=[tool_config],\n        managed_agents=[]\n    )\n\n    # Execute\n    result = await import_agent_by_agent_id(\n        import_agent_info=agent_info,\n        tenant_id=\"test_tenant\",\n        user_id=\"test_user\"\n    )\n\n    # Assert\n    assert result == 456\n    mock_create_agent.assert_called_once()\n    assert mock_create_agent.call_args[1][\"agent_info\"][\"name\"] == \"valid_agent_name\"\n    assert mock_create_agent.call_args[1][\"agent_info\"][\"display_name\"] == \"Valid Agent Display Name\"\n    mock_create_tool.assert_called_once()\n\n\n@patch('backend.services.agent_service.create_agent')\n@patch('backend.services.agent_service.query_all_tools')\n@pytest.mark.asyncio\nasync def test_import_agent_by_agent_id_invalid_tool(mock_query_all_tools, mock_create_tool):\n    \"\"\"\n    Test import of agent by agent ID with an invalid tool.\n\n    This test verifies that:\n    1. When a tool doesn't exist in the database\n    2. The function raises a ValueError with appropriate message\n    \"\"\"\n    # Setup\n    mock_tool_info = [\n        {\n            \"tool_id\": 101,\n            \"class_name\": \"OtherTool\",\n            \"source\": \"source1\",\n            \"params\": [{\"name\": \"param1\", \"type\": \"string\"}],\n            \"description\": \"Other tool description\",\n            \"name\": \"Other Tool\",\n            \"inputs\": \"other input\",\n            \"output_type\": \"other output\"\n        }\n    ]\n    mock_query_all_tools.return_value = mock_tool_info\n\n    # Create import data with non-existent tool\n    tool_config = ToolConfig(\n        class_name=\"Tool1\",\n        name=\"Tool One\",\n        source=\"source1\",\n        params={\"param1\": \"value1\"},\n        metadata={},\n        description=\"Tool 1 description\",\n        inputs=\"input description\",\n        output_type=\"output type description\"\n    )\n\n    agent_info = ExportAndImportAgentInfo(\n        agent_id=123,\n        name=\"valid_agent_name\",\n        display_name=\"Valid Agent Display Name\",\n        description=\"Imported description\",\n        business_description=\"Imported business description\",\n        max_steps=5,\n        provide_run_summary=True,\n        duty_prompt=\"Imported duty prompt\",\n        constraint_prompt=\"Imported constraint prompt\",\n        few_shots_prompt=\"Imported few shots prompt\",\n        enabled=True,\n        tools=[tool_config],\n        managed_agents=[]\n    )\n\n    # Execute & Assert\n    with pytest.raises(ValueError) as context:\n        await import_agent_by_agent_id(\n            import_agent_info=agent_info,\n            tenant_id=\"test_tenant\",\n            user_id=\"test_user\"\n        )\n\n    assert \"Cannot find tool Tool1 in source1.\" in str(context.value)\n    mock_create_tool.assert_not_called()\n\n\n@patch('backend.services.agent_service.create_or_update_tool_by_tool_info')\n@patch('backend.services.agent_service.create_agent')\n@patch('backend.services.agent_service.query_all_tools')\n@pytest.mark.asyncio\nasync def test_import_agent_by_agent_id_with_mcp_tool(mock_query_all_tools, mock_create_agent, mock_create_tool):\n    \"\"\"\n    Test successful import of agent by agent ID with MCP tools.\n    \"\"\"\n    # Setup\n    mock_tool_info = [\n        {\n            \"tool_id\": 101,\n            \"class_name\": \"MCPTool\",\n            \"source\": \"mcp\",\n            \"params\": [{\"name\": \"param1\", \"type\": \"string\"}],\n            \"description\": \"MCP tool description\",\n            \"name\": \"MCP Tool\",\n            \"inputs\": \"mcp input\",\n            \"output_type\": \"mcp output\"\n        }\n    ]\n    mock_query_all_tools.return_value = mock_tool_info\n\n    mock_create_agent.return_value = {\"agent_id\": 456}\n\n    # Create import data with MCP tool\n    tool_config = ToolConfig(\n        class_name=\"MCPTool\",\n        name=\"MCP Tool\",\n        source=\"mcp\",\n        params={\"param1\": \"value1\"},\n        metadata={},\n        description=\"MCP tool description\",\n        inputs=\"mcp input\",\n        output_type=\"mcp output\",\n        usage=\"test_mcp_server\"\n    )\n\n    agent_info = ExportAndImportAgentInfo(\n        agent_id=123,\n        name=\"valid_agent_name\",\n        display_name=\"Valid Agent Display Name\",\n        description=\"Imported description\",\n        business_description=\"Imported business description\",\n        max_steps=5,\n        provide_run_summary=True,\n        duty_prompt=\"Imported duty prompt\",\n        constraint_prompt=\"Imported constraint prompt\",\n        few_shots_prompt=\"Imported few shots prompt\",\n        enabled=True,\n        tools=[tool_config],\n        managed_agents=[]\n    )\n\n    # Execute\n    result = await import_agent_by_agent_id(\n        import_agent_info=agent_info,\n        tenant_id=\"test_tenant\",\n        user_id=\"test_user\"\n    )\n\n    # Assert\n    assert result == 456\n    mock_create_agent.assert_called_once()\n    assert mock_create_agent.call_args[1][\"agent_info\"][\"name\"] == \"valid_agent_name\"\n    assert mock_create_agent.call_args[1][\"agent_info\"][\"display_name\"] == \"Valid Agent Display Name\"\n    mock_create_tool.assert_called_once()\n\n\n@patch('backend.services.agent_service.insert_related_agent')\n@patch('backend.services.agent_service.query_sub_agents_id_list')\ndef test_insert_related_agent_impl_success(mock_query_sub_agents_id, mock_insert_related):\n    \"\"\"\n    Test successful insertion of related agent relationship.\n\n    This test verifies that:\n    1. The function checks for circular dependencies using BFS\n    2. When no circular dependency exists, it inserts the relationship\n    3. It returns a success response\n    \"\"\"\n    # Setup\n    # Child agent has different sub-agents\n    mock_query_sub_agents_id.return_value = [789]\n    mock_insert_related.return_value = True\n\n    # Execute\n    result = insert_related_agent_impl(\n        parent_agent_id=123,\n        child_agent_id=456,\n        tenant_id=\"test_tenant\"\n    )\n\n    # Assert\n    assert result.status_code == 200\n    assert \"Insert relation success\" in result.body.decode()\n    mock_insert_related.assert_called_once_with(123, 456, \"test_tenant\")\n\n\n@patch('backend.services.agent_service.query_sub_agents_id_list')\ndef test_insert_related_agent_impl_circular_dependency(mock_query_sub_agents_id):\n    \"\"\"\n    Test insertion of related agent with circular dependency.\n\n    This test verifies that:\n    1. The function detects circular dependencies\n    2. It returns an error response when circular dependency exists\n    \"\"\"\n    # Setup - simulate circular dependency\n    mock_query_sub_agents_id.side_effect = [\n        # Child agent 456 has parent agent 123 as its sub-agent (circular)\n        [123],\n    ]\n\n    # Execute\n    result = insert_related_agent_impl(\n        parent_agent_id=123,\n        child_agent_id=456,\n        tenant_id=\"test_tenant\"\n    )\n\n    # Assert\n    assert result.status_code == 500\n    assert \"There is a circular call in the agent\" in result.body.decode()\n\n\n@patch('os.path.join', return_value='test_path')\n@patch('os.listdir')\n@patch('builtins.open', new_callable=mock_open)\ndef test_load_default_agents_json_file(mock_file, mock_listdir, mock_join):\n    \"\"\"\n    Test loading default agent JSON files.\n\n    This test verifies that:\n    1. The function correctly lists files in the specified directory\n    2. It filters for JSON files\n    3. It reads and parses each JSON file\n    4. It returns a list of validated agent configurations\n    \"\"\"\n    # Setup\n    mock_listdir.return_value = ['agent1.json', 'agent2.json', 'not_json.txt']\n\n    # Set up the mock file content for each file\n    json_content1 = \"\"\"{\n        \"agent_id\": 1,\n        \"name\": \"Agent1\",\n        \"display_name\": \"Agent 1 Display\",\n        \"description\": \"Agent 1 description\",\n        \"business_description\": \"Business description\",\n        \"max_steps\": 10,\n        \"provide_run_summary\": true,\n        \"duty_prompt\": \"Agent 1 prompt\",\n        \"enabled\": true,\n        \"tools\": [],\n        \"managed_agents\": []\n    }\"\"\"\n\n    json_content2 = \"\"\"{\n        \"agent_id\": 2,\n        \"name\": \"Agent2\",\n        \"display_name\": \"Agent 2 Display\",\n        \"description\": \"Agent 2 description\",\n        \"business_description\": \"Business description\",\n        \"max_steps\": 5,\n        \"provide_run_summary\": false,\n        \"duty_prompt\": \"Agent 2 prompt\",\n        \"enabled\": true,\n        \"tools\": [],\n        \"managed_agents\": []\n    }\"\"\"\n\n    # Make the mock file return different content for different files\n    mock_file.return_value.__enter__.side_effect = [\n        MagicMock(read=lambda: json_content1),\n        MagicMock(read=lambda: json_content2)\n    ]\n\n    # Need to patch json.load to handle the mock file contents\n    with patch('json.load') as mock_json_load:\n        mock_json_load.side_effect = [\n            {\n                \"agent_id\": 1,\n                \"name\": \"Agent1\",\n                \"display_name\": \"Agent 1 Display\",\n                \"description\": \"Agent 1 description\",\n                \"business_description\": \"Business description\",\n                \"max_steps\": 10,\n                \"provide_run_summary\": True,\n                \"duty_prompt\": \"Agent 1 prompt\",\n                \"enabled\": True,\n                \"tools\": [],\n                \"managed_agents\": []\n            },\n            {\n                \"agent_id\": 2,\n                \"name\": \"Agent2\",\n                \"display_name\": \"Agent 2 Display\",\n                \"description\": \"Agent 2 description\",\n                \"business_description\": \"Business description\",\n                \"max_steps\": 5,\n                \"provide_run_summary\": False,\n                \"duty_prompt\": \"Agent 2 prompt\",\n                \"enabled\": True,\n                \"tools\": [],\n                \"managed_agents\": []\n            }\n        ]\n\n        # Execute\n        with patch('backend.services.agent_service.ExportAndImportAgentInfo', new=ExportAndImportAgentInfo):\n            result = load_default_agents_json_file(\"default/path\")\n\n        # Assert\n        assert len(result) == 2\n        assert result[0].name == \"Agent1\"\n        assert result[1].name == \"Agent2\"\n        assert mock_file.call_count == 2\n        mock_listdir.assert_called_once_with(\"default/path\")\n\n\n# clear_agent_memory function tests\n@patch('backend.services.agent_service.clear_memory', new_callable=AsyncMock)\n@patch('backend.services.agent_service.build_memory_config')\n@pytest.mark.asyncio\nasync def test_clear_agent_memory_success(mock_build_config, mock_clear_memory):\n    \"\"\"\n    Test successful clearing of agent memory.\n\n    This test verifies that:\n    1. The function correctly builds memory configuration\n    2. It clears both agent-level and user_agent-level memory\n    3. It logs the results appropriately\n    \"\"\"\n    # Setup\n    mock_memory_config = {\n        \"llm\": {\"provider\": \"openai\", \"config\": {\"model\": \"gpt-4\"}},\n        \"embedder\": {\"provider\": \"openai\", \"config\": {\"model\": \"text-embedding-ada-002\"}},\n        \"vector_store\": {\"provider\": \"elasticsearch\", \"config\": {\"host\": \"localhost\"}}\n    }\n    mock_build_config.return_value = mock_memory_config\n\n    mock_clear_memory.side_effect = [\n        {\"deleted_count\": 5},\n        {\"deleted_count\": 3}\n    ]\n\n    # Execute\n    await clear_agent_memory(\n        agent_id=123,\n        tenant_id=\"test_tenant\",\n        user_id=\"test_user\"\n    )\n\n    # Assert\n    mock_build_config.assert_called_once_with(\"test_tenant\")\n    assert mock_clear_memory.call_count == 2\n\n    # Verify agent-level memory cleanup\n    agent_call = mock_clear_memory.call_args_list[0]\n    assert agent_call[1][\"memory_level\"] == \"agent\"\n    assert agent_call[1][\"memory_config\"] == mock_memory_config\n    assert agent_call[1][\"tenant_id\"] == \"test_tenant\"\n    assert agent_call[1][\"user_id\"] == \"test_user\"\n    assert agent_call[1][\"agent_id\"] == \"123\"\n\n    # Verify user_agent-level memory cleanup\n    user_agent_call = mock_clear_memory.call_args_list[1]\n    assert user_agent_call[1][\"memory_level\"] == \"user_agent\"\n    assert user_agent_call[1][\"memory_config\"] == mock_memory_config\n    assert user_agent_call[1][\"tenant_id\"] == \"test_tenant\"\n    assert user_agent_call[1][\"user_id\"] == \"test_user\"\n    assert user_agent_call[1][\"agent_id\"] == \"123\"\n\n\n@patch('backend.services.agent_service.clear_memory', new_callable=AsyncMock)\n@patch('backend.services.agent_service.build_memory_config')\n@pytest.mark.asyncio\nasync def test_clear_agent_memory_build_config_error(mock_build_config, mock_clear_memory):\n    \"\"\"\n    Test clear_agent_memory when build_memory_config fails.\n\n    This test verifies that:\n    1. When build_memory_config raises an exception\n    2. The function catches the exception and logs it\n    3. The function does not raise the exception (to avoid affecting agent deletion)\n    \"\"\"\n    # Setup\n    mock_build_config.side_effect = ValueError(\"Invalid memory configuration\")\n\n    # Execute - should not raise exception\n    await clear_agent_memory(\n        agent_id=123,\n        tenant_id=\"test_tenant\",\n        user_id=\"test_user\"\n    )\n\n    # Assert\n    mock_build_config.assert_called_once_with(\"test_tenant\")\n    mock_clear_memory.assert_not_called()\n\n\n@patch('backend.services.agent_service.clear_memory', new_callable=AsyncMock)\n@patch('backend.services.agent_service.build_memory_config')\n@pytest.mark.asyncio\nasync def test_clear_agent_memory_clear_memory_error(mock_build_config, mock_clear_memory):\n    \"\"\"\n    Test clear_agent_memory when clear_memory fails.\n\n    This test verifies that:\n    1. When clear_memory raises an exception\n    2. The function catches the exception and logs it\n    3. The function continues with the second clear_memory call\n    4. The function does not raise the exception\n    \"\"\"\n    # Setup\n    mock_memory_config = {\n        \"llm\": {\"provider\": \"openai\", \"config\": {\"model\": \"gpt-4\"}},\n        \"embedder\": {\"provider\": \"openai\", \"config\": {\"model\": \"text-embedding-ada-002\"}},\n        \"vector_store\": {\"provider\": \"elasticsearch\", \"config\": {\"host\": \"localhost\"}}\n    }\n    mock_build_config.return_value = mock_memory_config\n\n    # First call fails, second call succeeds\n    mock_clear_memory.side_effect = [\n        Exception(\"Database connection failed\"),  # agent-level memory fails\n        {\"deleted_count\": 3}  # user_agent-level memory succeeds\n    ]\n\n    # Execute - should not raise exception\n    await clear_agent_memory(\n        agent_id=123,\n        tenant_id=\"test_tenant\",\n        user_id=\"test_user\"\n    )\n\n    # Assert\n    mock_build_config.assert_called_once_with(\"test_tenant\")\n    assert mock_clear_memory.call_count == 2\n\n\n@patch('backend.services.agent_service.insert_related_agent')\n@patch('backend.services.agent_service.import_agent_by_agent_id')\n@patch('backend.services.agent_service.get_current_user_info')\n@pytest.mark.asyncio\nasync def test_import_agent_impl_imports_all_agents_and_links_relations(\n    mock_get_current_user_info,\n    mock_import_agent,\n    mock_insert_relationship,\n):\n    \"\"\"\n    Import agent implementation should import sub-agents before their parents\n    and create the relationship between the newly created agent IDs.\n    \"\"\"\n\n    mock_get_current_user_info.return_value = (\"test_user\", \"test_tenant\", \"en\")\n    # Sub-agent (ID 2) with no managed agents\n    sub_agent_info = ExportAndImportAgentInfo(\n        agent_id=2,\n        name=\"SubAgent\",\n        display_name=\"Sub Agent\",\n        description=\"Sub agent desc\",\n        business_description=\"Business desc\",\n        max_steps=5,\n        provide_run_summary=True,\n        duty_prompt=\"Sub duty\",\n        constraint_prompt=\"Sub constraint\",\n        few_shots_prompt=\"Sub few shots\",\n        enabled=True,\n        tools=[],\n        managed_agents=[]\n    )\n\n    # Main agent references sub agent id 2\n    main_agent_info = ExportAndImportAgentInfo(\n        agent_id=1,\n        name=\"MainAgent\",\n        display_name=\"Main Agent\",\n        description=\"Main desc\",\n        business_description=\"Business main\",\n        max_steps=10,\n        provide_run_summary=True,\n        duty_prompt=\"Main duty\",\n        constraint_prompt=\"Main constraint\",\n        few_shots_prompt=\"Main few shots\",\n        enabled=True,\n        tools=[],\n        managed_agents=[2]\n    )\n\n    export_data = ExportAndImportDataFormat(\n        agent_id=1,\n        agent_info={\n            \"1\": main_agent_info,\n            \"2\": sub_agent_info,\n        },\n        mcp_info=[\n            MCPInfo(mcp_server_name=\"test_mcp_server\",\n                    mcp_url=\"http://test-mcp-server.com\")\n        ],\n    )\n\n    # The order of returns matches the import order: sub-agent first, then main agent\n    mock_import_agent.side_effect = [101, 202]\n\n    await import_agent_impl(export_data, authorization=\"Bearer token\")\n\n    # Sub-agent should be imported before main agent\n    assert mock_import_agent.call_count == 2\n    first_call = mock_import_agent.call_args_list[0]\n    second_call = mock_import_agent.call_args_list[1]\n\n    assert first_call.kwargs[\"import_agent_info\"] is sub_agent_info\n    assert first_call.kwargs[\"skip_duplicate_regeneration\"] is False\n\n    assert second_call.kwargs[\"import_agent_info\"] is main_agent_info\n    assert second_call.kwargs[\"skip_duplicate_regeneration\"] is False\n\n    # Relationship should link newly created ids (main -> sub)\n    mock_insert_relationship.assert_called_once_with(\n        parent_agent_id=202,\n        child_agent_id=101,\n        tenant_id=\"test_tenant\",\n        user_id=\"test_user\",\n    )\n\n\n@patch('backend.services.agent_service.import_agent_by_agent_id')\n@patch('backend.services.agent_service.get_current_user_info')\n@pytest.mark.asyncio\nasync def test_import_agent_impl_force_import_passes_skip_flag(\n    mock_get_current_user_info,\n    mock_import_agent,\n):\n    \"\"\"\n    When force_import=True, skip_duplicate_regeneration should be True.\n    \"\"\"\n    mock_get_current_user_info.return_value = (\"test_user\", \"test_tenant\", \"en\")\n\n    agent_info = ExportAndImportAgentInfo(\n        agent_id=1,\n        name=\"Agent\",\n        display_name=\"Agent Display\",\n        description=\"desc\",\n        business_description=\"biz\",\n        max_steps=5,\n        provide_run_summary=True,\n        duty_prompt=\"duty\",\n        constraint_prompt=\"constraint\",\n        few_shots_prompt=\"few shots\",\n        enabled=True,\n        tools=[],\n        managed_agents=[]\n    )\n\n    export_data = ExportAndImportDataFormat(\n        agent_id=1,\n        agent_info={\"1\": agent_info},\n        mcp_info=[]\n    )\n\n    await import_agent_impl(export_data, authorization=\"Bearer token\", force_import=True)\n\n    mock_get_current_user_info.assert_called_once_with(\"Bearer token\")\n    mock_import_agent.assert_called_once()\n    call_kwargs = mock_import_agent.call_args.kwargs\n    assert call_kwargs[\"import_agent_info\"] is agent_info\n    assert call_kwargs[\"skip_duplicate_regeneration\"] is True\n\n\nif __name__ == '__main__':\n    pytest.main()\n\n\n# Agent run tests\n@pytest.fixture\ndef mock_agent_request():\n    return AgentRequest(\n        agent_id=1,\n        conversation_id=123,\n        query=\"test query\",\n        history=[],\n        minio_files=[],\n        is_debug=False,\n    )\n\n\n@pytest.fixture\ndef mock_http_request():\n    return Request(scope={\"type\": \"http\", \"headers\": []})\n\n\n@pytest.mark.asyncio\n@patch('backend.services.agent_service.build_memory_context')\n@patch('backend.services.agent_service.create_agent_run_info', new_callable=AsyncMock)\n@patch('backend.services.agent_service.agent_run_manager')\nasync def test_prepare_agent_run(\n    mock_agent_run_manager,\n    mock_create_run_info,\n    mock_build_memory_context,\n    mock_agent_request,\n    mock_http_request,\n):\n    \"\"\"Test prepare_agent_run function.\"\"\"\n    # Setup\n    mock_run_info = MagicMock()\n    mock_create_run_info.return_value = mock_run_info\n    mock_memory_context = MagicMock()\n    mock_build_memory_context.return_value = mock_memory_context\n\n    # Execute\n    agent_run_info, memory_context = await prepare_agent_run(\n        mock_agent_request,\n        user_id=\"test_user\",\n        tenant_id=\"test_tenant\",\n    )\n\n    # Assert\n    assert agent_run_info == mock_run_info\n    assert memory_context == mock_memory_context\n    mock_build_memory_context.assert_called_once_with(\n        \"test_user\", \"test_tenant\", 1, skip_query=False)\n    mock_create_run_info.assert_called_once()\n    mock_agent_run_manager.register_agent_run.assert_called_once_with(\n        123, mock_run_info, \"test_user\")\n\n\n@patch('backend.services.agent_service.submit')\ndef test_save_messages(mock_submit, mock_agent_request):\n    \"\"\"Test save_messages function.\"\"\"\n    # Test user message saving\n    save_messages(mock_agent_request, \"user\", user_id=\"u\", tenant_id=\"t\")\n    mock_submit.assert_called_once()\n\n    # Test assistant message saving\n    save_messages(\n        mock_agent_request,\n        \"assistant\",\n        user_id=\"u\",\n        tenant_id=\"t\",\n        messages=[\"test message\"],\n    )\n    assert mock_submit.call_count == 2\n\n    # Test invalid target should not raise according to current implementation; ensure no submit called\n    save_messages(\n        mock_agent_request,\n        \"invalid\",\n        user_id=\"u\",\n        tenant_id=\"t\",\n        messages=[\"test message\"],\n    )\n    assert mock_submit.call_count == 2\n\n\n@pytest.mark.asyncio\n@patch(\n    \"backend.services.agent_service._resolve_user_tenant_language\",\n    return_value=(None, None, \"en\"),\n)\n@patch(\"backend.services.agent_service.build_memory_context\")\n@patch('backend.services.agent_service.save_messages')\n@patch(\"backend.services.agent_service.generate_stream_with_memory\")\nasync def test_run_agent_stream(\n    mock_generate_stream,\n    mock_save_messages,\n    mock_build_mem_ctx,\n    mock_resolve,\n    mock_agent_request,\n    mock_http_request,\n):\n    \"\"\"Test run_agent_stream function.\"\"\"\n\n    # Setup\n    async def mock_streamer():\n        yield \"chunk1\"\n        yield \"chunk2\"\n\n    mock_generate_stream.return_value = mock_streamer()\n\n    # Execute\n    response = await run_agent_stream(mock_agent_request, mock_http_request, \"Bearer token\")\n\n    # Assert\n    assert isinstance(response, StreamingResponse)\n    mock_save_messages.assert_called_once_with(\n        mock_agent_request,\n        target=\"user\",\n        user_id=None,\n        tenant_id=None,\n    )\n    mock_generate_stream.assert_called_once_with(\n        mock_agent_request,\n        user_id=None,\n        tenant_id=None,\n        language=\"en\",\n    )\n\n    # Test debug mode\n    mock_agent_request.is_debug = True\n    mock_save_messages.reset_mock()\n    mock_build_mem_ctx.reset_mock()\n\n    await run_agent_stream(mock_agent_request, mock_http_request, \"Bearer token\")\n\n    mock_save_messages.assert_not_called()\n    # In debug mode, build_memory_context is called with skip_query=True to avoid database queries\n    mock_build_mem_ctx.assert_called_once_with(None, None, 1, skip_query=True)\n\n    # Memory switch should be True to trigger generate_stream_with_memory path\n    mock_build_mem_ctx.return_value = MagicMock(\n        user_config=MagicMock(memory_switch=True)\n    )\n\n\n@patch('backend.services.agent_service.agent_run_manager')\n@patch('backend.services.agent_service.preprocess_manager')\ndef test_stop_agent_tasks(mock_preprocess_manager, mock_agent_run_manager):\n    \"\"\"Test stop_agent_tasks function.\"\"\"\n    # Test both stopped\n    mock_agent_run_manager.stop_agent_run.return_value = True\n    mock_preprocess_manager.stop_preprocess_tasks.return_value = True\n\n    result = stop_agent_tasks(123, \"test_user\")\n    assert result[\"status\"] == \"success\"\n    assert \"successfully stopped agent run and preprocess tasks\" in result[\"message\"]\n\n    mock_agent_run_manager.stop_agent_run.assert_called_once_with(\n        123, \"test_user\")\n\n    # Test only agent stopped\n    mock_agent_run_manager.stop_agent_run.return_value = True\n    mock_preprocess_manager.stop_preprocess_tasks.return_value = False\n    result = stop_agent_tasks(123, \"test_user\")\n    assert result[\"status\"] == \"success\"\n    assert \"successfully stopped agent run\" in result[\"message\"]\n\n    # Test neither stopped\n    mock_agent_run_manager.stop_agent_run.return_value = False\n    mock_preprocess_manager.stop_preprocess_tasks.return_value = False\n    result = stop_agent_tasks(123, \"test_user\")\n    assert result[\"status\"] == \"error\"\n    assert \"no running agent or preprocess tasks found\" in result[\"message\"]\n\n\n@patch('backend.services.agent_service.search_agent_id_by_agent_name')\nasync def test_get_agent_id_by_name(mock_search):\n    \"\"\"Test get_agent_id_by_name function.\"\"\"\n    # Test success\n    mock_search.return_value = 1\n    result = await get_agent_id_by_name(\"test_agent\", \"test_tenant\")\n    assert result == 1\n\n    # Test not found\n    mock_search.side_effect = Exception(\"Not found\")\n    with pytest.raises(Exception) as excinfo:\n        await get_agent_id_by_name(\"test_agent\", \"test_tenant\")\n    assert \"agent not found\" in str(excinfo.value)\n\n    # Test empty agent name\n    with pytest.raises(Exception) as excinfo:\n        await get_agent_id_by_name(\"\", \"test_tenant\")\n    assert \"agent_name required\" in str(excinfo.value)\n\n\n@patch('backend.services.agent_service.search_agent_info_by_agent_id')\n@patch('backend.services.agent_service.search_tools_for_sub_agent')\n@patch('backend.services.agent_service.query_sub_agents_id_list')\ndef test_get_agent_call_relationship_impl_success(mock_query_sub_agents, mock_search_tools, mock_search_agent_info):\n    \"\"\"\n    Test successful retrieval of agent call relationship tree.\n\n    This test verifies that:\n    1. The function correctly retrieves agent information\n    2. Tools are properly normalized and formatted\n    3. Sub-agents are recursively collected with their tools\n    4. The response structure matches expected format\n    \"\"\"\n    # Setup mock data\n    mock_agent_info = {\n        \"agent_id\": 1,\n        \"name\": \"Test Agent\",\n        \"display_name\": \"Test Display Name\",\n        \"description\": \"Test Description\"\n    }\n\n    mock_tools = [\n        {\n            \"tool_id\": 1,\n            \"name\": \"Test Tool 1\",\n            \"source\": \"local\",\n            \"tool_name\": \"Local Tool\"\n        },\n        {\n            \"tool_id\": 2,\n            \"name\": \"Test Tool 2\",\n            \"source\": \"mcp\",\n            \"tool_name\": \"MCP Tool\"\n        },\n        {\n            \"tool_id\": 3,\n            \"name\": \"Test Tool 3\",\n            \"source\": \"langchain\",\n            \"tool_name\": \"LangChain Tool\"\n        }\n    ]\n\n    mock_sub_agent_ids = [2, 3]\n\n    # Setup sub-agent info\n    mock_sub_agent_info = {\n        \"agent_id\": 2,\n        \"name\": \"Sub Agent 1\",\n        \"display_name\": \"Sub Display 1\"\n    }\n\n    mock_sub_tools = [\n        {\n            \"tool_id\": 4,\n            \"name\": \"Sub Tool 1\",\n            \"source\": \"local\"\n        }\n    ]\n\n    # Setup mocks\n    mock_search_agent_info.side_effect = [mock_agent_info, mock_sub_agent_info]\n    mock_search_tools.side_effect = [mock_tools, mock_sub_tools]\n    mock_query_sub_agents.return_value = mock_sub_agent_ids\n\n    # Execute\n    result = get_agent_call_relationship_impl(\n        agent_id=1, tenant_id=\"test_tenant\")\n\n    # Assert\n    assert result[\"agent_id\"] == \"1\"\n    assert result[\"name\"] == \"Test Display Name\"\n    assert len(result[\"tools\"]) == 3\n    assert len(result[\"sub_agents\"]) == 1\n\n    # Check tool normalization\n    assert result[\"tools\"][0][\"type\"] == \"Local\"\n    assert result[\"tools\"][1][\"type\"] == \"MCP\"\n    assert result[\"tools\"][2][\"type\"] == \"LangChain\"\n\n    # Check sub-agent structure\n    sub_agent = result[\"sub_agents\"][0]\n    assert sub_agent[\"agent_id\"] == \"2\"\n    assert sub_agent[\"name\"] == \"Sub Display 1\"\n    assert sub_agent[\"depth\"] == 1\n    assert len(sub_agent[\"tools\"]) == 1\n    assert sub_agent[\"tools\"][0][\"type\"] == \"Local\"\n\n    # Verify mock calls\n    mock_search_agent_info.assert_called()\n    mock_search_tools.assert_called()\n    mock_query_sub_agents.assert_called()\n\n\n@patch('backend.services.agent_service.search_agent_info_by_agent_id')\n@patch('backend.services.agent_service.search_tools_for_sub_agent')\n@patch('backend.services.agent_service.query_sub_agents_id_list')\ndef test_get_agent_call_relationship_impl_with_unknown_source(mock_query_sub_agents, mock_search_tools,\n                                                              mock_search_agent_info):\n    \"\"\"\n    Test agent call relationship with unknown tool source.\n\n    This test verifies that:\n    1. Unknown tool sources are handled gracefully\n    2. Tool types are properly formatted for unknown sources\n    \"\"\"\n    # Setup mock data\n    mock_agent_info = {\n        \"agent_id\": 1,\n        \"name\": \"Test Agent\",\n        \"display_name\": \"Test Display Name\"\n    }\n\n    mock_tools = [\n        {\n            \"tool_id\": 1,\n            \"name\": \"Unknown Tool\",\n            \"source\": \"unknown_source\",\n            \"tool_name\": \"Unknown Source Tool\"\n        }\n    ]\n\n    # Setup mocks\n    mock_search_agent_info.return_value = mock_agent_info\n    mock_search_tools.return_value = mock_tools\n    mock_query_sub_agents.return_value = []\n\n    # Execute\n    result = get_agent_call_relationship_impl(\n        agent_id=1, tenant_id=\"test_tenant\")\n\n    # Assert\n    assert result[\"tools\"][0][\"type\"] == \"Unknown_source\"\n    assert len(result[\"sub_agents\"]) == 0\n\n\n@patch('backend.services.agent_service.search_agent_info_by_agent_id')\n@patch('backend.services.agent_service.search_tools_for_sub_agent')\n@patch('backend.services.agent_service.query_sub_agents_id_list')\ndef test_get_agent_call_relationship_impl_with_none_source(mock_query_sub_agents, mock_search_tools,\n                                                           mock_search_agent_info):\n    \"\"\"\n    Test agent call relationship with None tool source.\n\n    This test verifies that:\n    1. None tool sources are handled gracefully\n    2. Tool types default to \"UNKNOWN\" for None sources\n    \"\"\"\n    # Setup mock data\n    mock_agent_info = {\n        \"agent_id\": 1,\n        \"name\": \"Test Agent\",\n        \"display_name\": \"Test Display Name\"\n    }\n\n    mock_tools = [\n        {\n            \"tool_id\": 1,\n            \"name\": \"None Source Tool\",\n            \"source\": None,\n            \"tool_name\": \"None Source Tool\"\n        }\n    ]\n\n    # Setup mocks\n    mock_search_agent_info.return_value = mock_agent_info\n    mock_search_tools.return_value = mock_tools\n    mock_query_sub_agents.return_value = []\n\n    # Execute\n    result = get_agent_call_relationship_impl(\n        agent_id=1, tenant_id=\"test_tenant\")\n\n    # Assert\n    assert result[\"tools\"][0][\"type\"] == \"UNKNOWN\"\n    assert len(result[\"sub_agents\"]) == 0\n\n\n@patch('backend.services.agent_service.search_agent_info_by_agent_id')\n@patch('backend.services.agent_service.search_tools_for_sub_agent')\n@patch('backend.services.agent_service.query_sub_agents_id_list')\ndef test_get_agent_call_relationship_impl_with_empty_tools(mock_query_sub_agents, mock_search_tools,\n                                                           mock_search_agent_info):\n    \"\"\"\n    Test agent call relationship with no tools.\n\n    This test verifies that:\n    1. Agents without tools are handled correctly\n    2. Empty tool lists don't cause errors\n    \"\"\"\n    # Setup mock data\n    mock_agent_info = {\n        \"agent_id\": 1,\n        \"name\": \"Test Agent\",\n        \"display_name\": \"Test Display Name\"\n    }\n\n    # Setup mocks\n    mock_search_agent_info.return_value = mock_agent_info\n    mock_search_tools.return_value = []\n    mock_query_sub_agents.return_value = []\n\n    # Execute\n    result = get_agent_call_relationship_impl(\n        agent_id=1, tenant_id=\"test_tenant\")\n\n    # Assert\n    assert result[\"tools\"] == []\n    assert len(result[\"sub_agents\"]) == 0\n\n\n@patch('backend.services.agent_service.search_agent_info_by_agent_id')\ndef test_get_agent_call_relationship_impl_agent_not_found(mock_search_agent_info):\n    \"\"\"\n    Test agent call relationship when agent is not found.\n\n    This test verifies that:\n    1. Appropriate error is raised when agent doesn't exist\n    2. Error message is descriptive\n    \"\"\"\n    # Setup mock to return None (agent not found)\n    mock_search_agent_info.return_value = None\n\n    # Execute and assert\n    with pytest.raises(ValueError, match=\"Agent 999 not found\"):\n        get_agent_call_relationship_impl(agent_id=999, tenant_id=\"test_tenant\")\n\n    mock_search_agent_info.assert_called_once_with(999, \"test_tenant\")\n\n\n@patch('backend.services.agent_service.search_agent_info_by_agent_id')\n@patch('backend.services.agent_service.search_tools_for_sub_agent')\n@patch('backend.services.agent_service.query_sub_agents_id_list')\ndef test_get_agent_call_relationship_impl_sub_agent_error_handling(mock_query_sub_agents, mock_search_tools,\n                                                                   mock_search_agent_info):\n    \"\"\"\n    Test agent call relationship with sub-agent errors.\n\n    This test verifies that:\n    1. Errors in sub-agent processing don't crash the entire function\n    2. Failed sub-agents are logged and skipped\n    3. Other sub-agents continue to be processed\n    \"\"\"\n    # Setup mock data\n    mock_agent_info = {\n        \"agent_id\": 1,\n        \"name\": \"Test Agent\",\n        \"display_name\": \"Test Agent\"\n    }\n\n    # Setup mocks - one sub-agent will fail, one will succeed\n    mock_search_agent_info.side_effect = [\n        mock_agent_info,  # Main agent\n        {\"agent_id\": 2, \"name\": \"Sub Agent 1\"},  # First sub-agent (success)\n        ValueError(\"Sub-agent 3 not found\")  # Second sub-agent (failure)\n    ]\n\n    mock_search_tools.return_value = []\n    mock_query_sub_agents.return_value = [2, 3]  # Two sub-agents\n\n    # Execute\n    result = get_agent_call_relationship_impl(\n        agent_id=1, tenant_id=\"test_tenant\")\n\n    # Assert - should only include the successful sub-agent\n    assert len(result[\"sub_agents\"]) == 1\n    assert result[\"sub_agents\"][0][\"agent_id\"] == \"2\"\n\n    # Verify mock calls\n    mock_search_agent_info.assert_called()\n    # At least main agent + one sub-agent\n    assert mock_search_agent_info.call_count >= 2\n\n\n@patch('backend.services.agent_service.search_agent_info_by_agent_id')\n@patch('backend.services.agent_service.search_tools_for_sub_agent')\n@patch('backend.services.agent_service.query_sub_agents_id_list')\ndef test_get_agent_call_relationship_impl_tool_name_fallback(mock_query_sub_agents, mock_search_tools,\n                                                             mock_search_agent_info):\n    \"\"\"\n    Test agent call relationship tool name fallback logic.\n\n    This test verifies that:\n    1. Tool names fall back to tool_name if name is not available\n    2. Tool names fall back to tool_id if neither name nor tool_name is available\n    \"\"\"\n    # Setup mock data\n    mock_agent_info = {\n        \"agent_id\": 1,\n        \"name\": \"Test Agent\",\n        \"display_name\": \"Test Agent\"\n    }\n\n    mock_tools = [\n        {\n            \"tool_id\": 1,\n            \"source\": \"local\"\n            # No name or tool_name\n        },\n        {\n            \"tool_id\": 2,\n            \"name\": \"Explicit Name\",\n            \"source\": \"local\"\n        },\n        {\n            \"tool_id\": 3,\n            \"tool_name\": \"Tool Name\",\n            \"source\": \"local\"\n            # No name\n        }\n    ]\n\n    # Setup mocks\n    mock_search_agent_info.return_value = mock_agent_info\n    mock_search_tools.return_value = mock_tools\n    mock_query_sub_agents.return_value = []\n\n    # Execute\n    result = get_agent_call_relationship_impl(\n        agent_id=1, tenant_id=\"test_tenant\")\n\n    # Assert\n    assert result[\"tools\"][0][\"name\"] == \"1\"  # Fallback to tool_id\n    assert result[\"tools\"][1][\"name\"] == \"Explicit Name\"  # Use explicit name\n    assert result[\"tools\"][2][\"name\"] == \"Tool Name\"  # Use tool_name\n\n\n#############################\n# Additional tests for newer logic in agent_service.py\n#############################\n\n\n@pytest.mark.asyncio\nasync def test__stream_agent_chunks_persists_and_unregisters(monkeypatch):\n    \"\"\"Ensure _stream_agent_chunks yields chunks, saves assistant messages (when not debug) and always unregisters the run regardless of errors.\"\"\"\n    # Prepare fake AgentRequest\n    agent_request = AgentRequest(\n        agent_id=1,\n        conversation_id=999,\n        query=\"hello\",\n        history=[],\n        minio_files=[],\n        is_debug=False,\n    )\n\n    # Mock agent_run to yield two chunks\n    async def fake_agent_run(*_, **__):\n        yield \"chunk1\"\n        yield \"chunk2\"\n\n    monkeypatch.setitem(\n        sys.modules, \"nexent.core.agents.run_agent\", MagicMock())\n    monkeypatch.setattr(\n        \"backend.services.agent_service.agent_run\", fake_agent_run, raising=False\n    )\n\n    # Track calls\n    save_calls = []\n\n    def fake_save_messages(*args, **kwargs):\n        save_calls.append((args, kwargs))\n\n    monkeypatch.setattr(\n        \"backend.services.agent_service.save_messages\",\n        fake_save_messages,\n        raising=False,\n    )\n\n    unregister_called = {}\n\n    def fake_unregister(conv_id, user_id):\n        unregister_called[\"conv_id\"] = conv_id\n        unregister_called[\"user_id\"] = user_id\n\n    monkeypatch.setattr(\n        \"backend.services.agent_service.agent_run_manager.unregister_agent_run\",\n        fake_unregister,\n        raising=False,\n    )\n\n    # Collect streamed chunks\n    collected = []\n    async for out in agent_service._stream_agent_chunks(\n        agent_request, \"u\", \"t\", MagicMock(), MagicMock()\n    ):\n        collected.append(out)\n\n    assert collected == [\n        \"data: chunk1\\n\\n\",\n        \"data: chunk2\\n\\n\",\n    ]  # Prefix added in helper\n    assert save_calls, \"save_messages should have been called for assistant messages\"\n    assert unregister_called.get(\"conv_id\") == 999\n    assert unregister_called.get(\"user_id\") == \"u\"\n\n\n@pytest.mark.asyncio\nasync def test__stream_agent_chunks_emits_error_chunk_on_run_failure(monkeypatch):\n    \"\"\"When agent_run raises, an error SSE chunk should be emitted and run unregistered.\"\"\"\n    agent_request = AgentRequest(\n        agent_id=1,\n        conversation_id=1001,\n        query=\"trigger error\",\n        history=[],\n        minio_files=[],\n        is_debug=True,  # avoid persisting messages to focus on error path\n    )\n\n    def failing_agent_run(*_, **__):\n        raise Exception(\"oops\")\n\n    monkeypatch.setattr(\n        \"backend.services.agent_service.agent_run\", failing_agent_run, raising=False\n    )\n\n    called = {\"unregistered\": None, \"user_id\": None}\n\n    def fake_unregister(conv_id, user_id):\n        called[\"unregistered\"] = conv_id\n        called[\"user_id\"] = user_id\n\n    monkeypatch.setattr(\n        \"backend.services.agent_service.agent_run_manager.unregister_agent_run\",\n        fake_unregister,\n        raising=False,\n    )\n\n    # Collect streamed chunks\n    collected = []\n    async for out in agent_service._stream_agent_chunks(\n        agent_request, \"u\", \"t\", MagicMock(), MagicMock()\n    ):\n        collected.append(out)\n\n    # Expect a single error payload chunk and unregister called\n    assert collected and collected[0].startswith(\n        \"data: {\") and \"\\\"type\\\": \\\"error\\\"\" in collected[0]\n    assert called[\"unregistered\"] == 1001\n    assert called[\"user_id\"] == \"u\"\n\n\n@pytest.mark.asyncio\nasync def test__stream_agent_chunks_captures_final_answer_and_adds_memory(monkeypatch):\n    \"\"\"Final answer should be captured and appended to memory via add_memory_in_levels.\"\"\"\n    agent_request = AgentRequest(\n        agent_id=3,\n        conversation_id=3003,\n        query=\"hello\",\n        history=[],\n        minio_files=[],\n        is_debug=False,\n    )\n\n    async def yield_final_answer(*_, **__):\n        yield json.dumps({\"type\": \"token\", \"content\": \"hi\"}, ensure_ascii=False)\n        yield json.dumps({\"type\": \"final_answer\", \"content\": \"bye\"}, ensure_ascii=False)\n\n    monkeypatch.setattr(\n        \"backend.services.agent_service.agent_run\", yield_final_answer, raising=False\n    )\n\n    add_calls = {\"args\": None, \"called\": False}\n\n    async def fake_add_memory_in_levels(**kwargs):\n        add_calls[\"args\"] = kwargs\n        add_calls[\"called\"] = True\n        return {\"results\": [{\"ok\": True}]}\n\n    monkeypatch.setattr(\n        \"backend.services.agent_service.add_memory_in_levels\",\n        fake_add_memory_in_levels,\n        raising=False,\n    )\n\n    # Memory context with switch ON\n    memory_ctx = MagicMock()\n    memory_ctx.user_config = MagicMock(\n        memory_switch=True,\n        agent_share_option=\"always\",\n        disable_agent_ids=[],\n        disable_user_agent_ids=[],\n    )\n    memory_ctx.memory_config = {\"cfg\": 1}\n    memory_ctx.tenant_id = \"t\"\n    memory_ctx.user_id = \"u\"\n    memory_ctx.agent_id = 3\n\n    # Capture and await scheduled background task\n    task_holder = {\"task\": None}\n    orig_create_task = asyncio.create_task\n\n    def capture_task(coro):\n        t = orig_create_task(coro)\n        task_holder[\"task\"] = t\n        return t\n\n    monkeypatch.setattr(asyncio, \"create_task\", capture_task)\n\n    # Run stream\n    collected = []\n    async for out in agent_service._stream_agent_chunks(\n        agent_request, \"u\", \"t\", MagicMock(query=\"hello\"), memory_ctx\n    ):\n        collected.append(out)\n\n    # Ensure background task completed\n    if task_holder[\"task\"] is not None:\n        await task_holder[\"task\"]\n\n    assert add_calls[\"called\"] is True\n    assert add_calls[\"args\"][\"messages\"] == [\n        {\"role\": \"user\", \"content\": \"hello\"},\n        {\"role\": \"assistant\", \"content\": \"bye\"},\n    ]\n    assert set(add_calls[\"args\"][\"memory_levels\"]) == {\"agent\", \"user_agent\"}\n    assert add_calls[\"args\"][\"memory_config\"] == {\"cfg\": 1}\n    assert add_calls[\"args\"][\"tenant_id\"] == \"t\"\n    assert add_calls[\"args\"][\"user_id\"] == \"u\"\n    assert add_calls[\"args\"][\"agent_id\"] == 3\n\n\n@pytest.mark.asyncio\nasync def test__stream_agent_chunks_skips_memory_when_switch_off(monkeypatch):\n    \"\"\"When memory switch is off, background memory addition exits early.\"\"\"\n    agent_request = AgentRequest(\n        agent_id=4,\n        conversation_id=4004,\n        query=\"q\",\n        history=[],\n        minio_files=[],\n        is_debug=False,\n    )\n\n    async def yield_one(*_, **__):\n        yield json.dumps({\"type\": \"final_answer\", \"content\": \"ans\"}, ensure_ascii=False)\n\n    monkeypatch.setattr(\n        \"backend.services.agent_service.agent_run\", yield_one, raising=False\n    )\n\n    called = {\"count\": 0}\n\n    async def track_add(**kwargs):\n        called[\"count\"] += 1\n        return {\"results\": []}\n\n    monkeypatch.setattr(\n        \"backend.services.agent_service.add_memory_in_levels\", track_add, raising=False\n    )\n\n    memory_ctx = MagicMock()\n    memory_ctx.user_config = MagicMock(memory_switch=False)\n\n    async for _ in agent_service._stream_agent_chunks(\n        agent_request, \"u\", \"t\", MagicMock(query=\"q\"), memory_ctx\n    ):\n        pass\n\n    await asyncio.sleep(0)\n    assert called[\"count\"] == 0\n\n\n@pytest.mark.asyncio\nasync def test__stream_agent_chunks_background_add_exception(monkeypatch):\n    \"\"\"Exceptions in background memory addition should be caught and not crash the stream.\"\"\"\n    agent_request = AgentRequest(\n        agent_id=5,\n        conversation_id=5005,\n        query=\"q\",\n        history=[],\n        minio_files=[],\n        is_debug=False,\n    )\n\n    async def yield_final(*_, **__):\n        yield json.dumps({\"type\": \"final_answer\", \"content\": \"A\"}, ensure_ascii=False)\n\n    monkeypatch.setattr(\n        \"backend.services.agent_service.agent_run\", yield_final, raising=False\n    )\n\n    async def raise_in_add(**kwargs):\n        raise RuntimeError(\"mem add fail\")\n\n    monkeypatch.setattr(\n        \"backend.services.agent_service.add_memory_in_levels\", raise_in_add, raising=False\n    )\n\n    memory_ctx = MagicMock()\n    memory_ctx.user_config = MagicMock(\n        memory_switch=True,\n        agent_share_option=\"always\",\n        disable_agent_ids=[],\n        disable_user_agent_ids=[],\n    )\n\n    # Capture and await scheduled background task\n    task_holder = {\"task\": None}\n    orig_create_task = asyncio.create_task\n\n    def capture_task(coro):\n        t = orig_create_task(coro)\n        task_holder[\"task\"] = t\n        return t\n\n    monkeypatch.setattr(asyncio, \"create_task\", capture_task)\n\n    async for _ in agent_service._stream_agent_chunks(\n        agent_request, \"u\", \"t\", MagicMock(query=\"q\"), memory_ctx\n    ):\n        pass\n\n    # Let background exception be handled by awaiting the task\n    if task_holder[\"task\"] is not None:\n        await task_holder[\"task\"]\n\n\n@pytest.mark.asyncio\nasync def test__stream_agent_chunks_schedule_task_failure(monkeypatch):\n    \"\"\"Scheduling background task failure should be caught and logged.\"\"\"\n    agent_request = AgentRequest(\n        agent_id=6,\n        conversation_id=6006,\n        query=\"q\",\n        history=[],\n        minio_files=[],\n        is_debug=False,\n    )\n\n    async def yield_final(*_, **__):\n        yield json.dumps({\"type\": \"final_answer\", \"content\": \"A\"}, ensure_ascii=False)\n\n    monkeypatch.setattr(\n        \"backend.services.agent_service.agent_run\", yield_final, raising=False\n    )\n\n    # Force asyncio.create_task to fail\n    def fail_create_task(*_, **__):\n        raise RuntimeError(\"schedule fail\")\n\n    monkeypatch.setattr(\"asyncio.create_task\", fail_create_task)\n\n    memory_ctx = MagicMock()\n    memory_ctx.user_config = MagicMock(\n        memory_switch=True,\n        agent_share_option=\"always\",\n        disable_agent_ids=[],\n        disable_user_agent_ids=[],\n    )\n\n    collected = []\n    async for out in agent_service._stream_agent_chunks(\n        agent_request, \"u\", \"t\", MagicMock(query=\"q\"), memory_ctx\n    ):\n        collected.append(out)\n\n    assert collected  # Stream still produced data without crashing\n\n\ndef test_insert_related_agent_impl_failure_returns_400():\n    \"\"\"When insertion fails, should return 400 JSONResponse.\"\"\"\n    with patch(\n        \"backend.services.agent_service.query_sub_agents_id_list\", return_value=[]\n    ) as _, patch(\n        \"backend.services.agent_service.insert_related_agent\", return_value=False\n    ) as __:\n        resp = insert_related_agent_impl(\n            parent_agent_id=1, child_agent_id=2, tenant_id=\"t\")\n        assert resp.status_code == 400\n\n\n@pytest.mark.asyncio\nasync def test_generate_stream_with_memory_unexpected_exception_emits_error(monkeypatch):\n    \"\"\"Generic exceptions should emit an error SSE chunk and stop.\"\"\"\n    agent_request = AgentRequest(\n        agent_id=9,\n        conversation_id=9009,\n        query=\"q\",\n        history=[],\n        minio_files=[],\n        is_debug=False,\n    )\n\n    # Cause an unexpected error inside the try block\n    monkeypatch.setattr(\n        \"backend.services.agent_service.build_memory_context\",\n        MagicMock(side_effect=Exception(\"unexpected\")),\n        raising=False,\n    )\n\n    out = []\n    async for d in agent_service.generate_stream_with_memory(\n        agent_request, user_id=\"u\", tenant_id=\"t\"\n    ):\n        out.append(d)\n\n    assert out and out[0].startswith(\n        \"data: {\") and \"\\\"type\\\": \\\"error\\\"\" in out[0]\n\n\nasync def test_generate_stream_no_memory_registers_and_streams(monkeypatch):\n    \"\"\"generate_stream_no_memory should prepare run info, register it and stream data without memory tokens.\"\"\"\n    # Prepare AgentRequest & Request\n    agent_request = AgentRequest(\n        agent_id=2,\n        conversation_id=555,\n        query=\"test\",\n        history=[],\n        minio_files=[],\n        is_debug=False,\n    )\n    http_request = Request(scope={\"type\": \"http\", \"headers\": []})\n\n    # Monkeypatch helpers\n    monkeypatch.setattr(\n        \"backend.services.agent_service.build_memory_context\",\n        MagicMock(return_value=MagicMock()),\n        raising=False,\n    )\n    monkeypatch.setattr(\n        \"backend.services.agent_service.create_agent_run_info\",\n        AsyncMock(return_value=MagicMock()),\n        raising=False,\n    )\n\n    registered = {}\n\n    def fake_register(conv_id, run_info, user_id):\n        registered[\"conv_id\"] = conv_id\n        registered[\"run_info\"] = run_info\n        registered[\"user_id\"] = user_id\n\n    monkeypatch.setattr(\n        \"backend.services.agent_service.agent_run_manager.register_agent_run\",\n        fake_register,\n        raising=False,\n    )\n\n    # Stream helper will yield chunks\n    async def fake_stream_chunks(*_, **__):\n        yield \"data: body1\\n\\n\"\n        yield \"data: body2\\n\\n\"\n\n    monkeypatch.setattr(\n        \"backend.services.agent_service._stream_agent_chunks\",\n        fake_stream_chunks,\n        raising=False,\n    )\n\n    # Collect output\n    collected = []\n    async for d in agent_service.generate_stream_no_memory(\n        agent_request, user_id=\"u\", tenant_id=\"t\"\n    ):\n        collected.append(d)\n\n    assert registered.get(\"conv_id\") == 555\n    assert registered.get(\"user_id\") == \"u\"\n    assert registered.get(\"run_info\") is not None\n    assert collected == [\"data: body1\\n\\n\", \"data: body2\\n\\n\"]\n\n\n@pytest.mark.asyncio\n@patch(\n    \"backend.services.agent_service._resolve_user_tenant_language\",\n    return_value=(None, None, \"en\"),\n)\n@patch(\"backend.services.agent_service.build_memory_context\")\n@patch(\"backend.services.agent_service.save_messages\")\n@patch(\"backend.services.agent_service.generate_stream_no_memory\")\nasync def test_run_agent_stream_no_memory(\n    mock_gen_no_mem,\n    mock_save_messages,\n    mock_build_mem_ctx,\n    mock_resolve,\n    mock_agent_request,\n    mock_http_request,\n):\n    async def mock_stream():\n        yield \"c1\"\n\n    mock_gen_no_mem.return_value = mock_stream()\n    mock_build_mem_ctx.return_value = MagicMock(\n        user_config=MagicMock(memory_switch=False)\n    )\n\n    resp = await run_agent_stream(mock_agent_request, mock_http_request, \"Bearer token\")\n    assert isinstance(resp, StreamingResponse)\n    mock_gen_no_mem.assert_called_once_with(\n        mock_agent_request,\n        user_id=None,\n        tenant_id=None,\n        language=\"en\",\n    )\n\n\n@pytest.mark.asyncio\n@patch(\n    \"backend.services.agent_service._resolve_user_tenant_language\",\n    return_value=(\"u\", \"t\", \"en\"),\n)\n@patch(\"backend.services.agent_service.build_memory_context\")\n@patch(\"backend.services.agent_service.save_messages\")\n@patch(\"backend.services.agent_service.generate_stream_no_memory\")\nasync def test_run_agent_stream_skip_user_save(\n    mock_gen_no_mem,\n    mock_save_messages,\n    mock_build_mem_ctx,\n    mock_resolve,\n    mock_agent_request,\n    mock_http_request,\n):\n    async def mock_stream():\n        yield \"c1\"\n\n    mock_gen_no_mem.return_value = mock_stream()\n    mock_build_mem_ctx.return_value = MagicMock(\n        user_config=MagicMock(memory_switch=False)\n    )\n\n    resp = await run_agent_stream(\n        mock_agent_request, mock_http_request, \"Bearer token\", skip_user_save=True\n    )\n    assert isinstance(resp, StreamingResponse)\n    # Should not save user message when skip_user_save=True\n    mock_save_messages.assert_not_called()\n\n\n@pytest.mark.asyncio\nasync def test_generate_stream_with_memory_emits_tokens_and_unregisters(monkeypatch):\n    \"\"\"generate_stream_with_memory emits start/done tokens and unregisters preprocess task.\"\"\"\n    # Prepare AgentRequest & Request\n    agent_request = AgentRequest(\n        agent_id=7,\n        conversation_id=777,\n        query=\"q\",\n        history=[],\n        minio_files=[],\n        is_debug=False,\n    )\n    http_request = Request(scope={\"type\": \"http\", \"headers\": []})\n\n    # Enable memory switch in preview (memory enabled)\n    monkeypatch.setattr(\n        \"backend.services.agent_service.build_memory_context\",\n        MagicMock(return_value=MagicMock(\n            user_config=MagicMock(memory_switch=True))),\n        raising=False,\n    )\n\n    # Prepare run returned values (agent_run_info, memory_context)\n    monkeypatch.setattr(\n        \"backend.services.agent_service.prepare_agent_run\",\n        AsyncMock(return_value=(MagicMock(), MagicMock())),\n        raising=False,\n    )\n\n    # Stream chunks from helper\n    async def fake_chunks(*_, **__):\n        yield \"data: bodyA\\n\\n\"\n        yield \"data: bodyB\\n\\n\"\n\n    monkeypatch.setattr(\n        \"backend.services.agent_service._stream_agent_chunks\",\n        fake_chunks,\n        raising=False,\n    )\n\n    # Track preprocess register/unregister\n    calls = {\"registered\": None, \"unregistered\": None}\n\n    def fake_register(task_id, conv_id, task):\n        calls[\"registered\"] = (task_id, conv_id, bool(task))\n\n    def fake_unregister(task_id):\n        calls[\"unregistered\"] = task_id\n\n    monkeypatch.setattr(\n        \"backend.services.agent_service.preprocess_manager.register_preprocess_task\",\n        fake_register,\n        raising=False,\n    )\n    monkeypatch.setattr(\n        \"backend.services.agent_service.preprocess_manager.unregister_preprocess_task\",\n        fake_unregister,\n        raising=False,\n    )\n\n    # Collect output\n    out = []\n    async for d in agent_service.generate_stream_with_memory(\n        agent_request, user_id=\"u\", tenant_id=\"t\"\n    ):\n        out.append(d)\n\n    # Expect start and done memory tokens then body chunks\n    from consts.const import MEMORY_SEARCH_START_MSG, MEMORY_SEARCH_DONE_MSG\n\n    assert any(\"memory_search\" in s and MEMORY_SEARCH_START_MSG in s for s in out)\n    assert any(\"memory_search\" in s and MEMORY_SEARCH_DONE_MSG in s for s in out)\n    assert \"data: bodyA\\n\\n\" in out and \"data: bodyB\\n\\n\" in out\n    # Unregister must be called\n    assert calls[\"registered\"] is not None\n    assert calls[\"unregistered\"] is not None\n\n\n@pytest.mark.asyncio\nasync def test_generate_stream_with_memory_fallback_on_failure(monkeypatch):\n    \"\"\"generate_stream_with_memory should emit fail token and fall back when memory prep fails.\"\"\"\n    agent_request = AgentRequest(\n        agent_id=8,\n        conversation_id=888,\n        query=\"q2\",\n        history=[],\n        minio_files=[],\n        is_debug=False,\n    )\n    http_request = Request(scope={\"type\": \"http\", \"headers\": []})\n\n    # Enable memory\n    monkeypatch.setattr(\n        \"backend.services.agent_service.build_memory_context\",\n        MagicMock(return_value=MagicMock(\n            user_config=MagicMock(memory_switch=True))),\n        raising=False,\n    )\n\n    # Force prepare_agent_run to raise, which will be normalized\n    async def raise_prepare(*_, **__):\n        raise Exception(\"prep failed\")\n\n    monkeypatch.setattr(\n        \"backend.services.agent_service.prepare_agent_run\",\n        raise_prepare,\n        raising=False,\n    )\n\n    # Fallback generator\n    async def fallback_gen(*_, **__):\n        yield \"data: fb1\\n\\n\"\n\n    monkeypatch.setattr(\n        \"backend.services.agent_service.generate_stream_no_memory\",\n        fallback_gen,\n        raising=False,\n    )\n\n    # Track preprocess unregister\n    called = {\"unregistered\": False}\n\n    def fake_unregister(task_id):\n        called[\"unregistered\"] = True\n\n    monkeypatch.setattr(\n        \"backend.services.agent_service.preprocess_manager.unregister_preprocess_task\",\n        fake_unregister,\n        raising=False,\n    )\n\n    out = []\n    async for d in agent_service.generate_stream_with_memory(\n        agent_request, user_id=\"u\", tenant_id=\"t\"\n    ):\n        out.append(d)\n\n    from consts.const import MEMORY_SEARCH_FAIL_MSG\n\n    assert any(\"memory_search\" in s and MEMORY_SEARCH_FAIL_MSG in s for s in out)\n    assert \"data: fb1\\n\\n\" in out\n    assert called[\"unregistered\"]\n\n\n@pytest.mark.asyncio\n@pytest.mark.asyncio\n@patch(\"backend.services.agent_service.get_model_by_model_id\")\n@patch(\"backend.services.agent_service.check_agent_availability\")\n@patch(\"backend.services.agent_service.convert_string_to_list\")\n@patch(\"backend.services.agent_service.get_user_tenant_by_user_id\")\n@patch(\"backend.services.agent_service.query_group_ids_by_user\")\n@patch(\"backend.services.agent_service.query_all_agent_info_by_tenant_id\")\nasync def test_list_all_agent_info_impl_with_disabled_agents(\n    mock_query_agents,\n    mock_query_groups,\n    mock_get_user_tenant,\n    mock_convert_list,\n    mock_check_availability,\n    mock_get_model,\n):\n    \"\"\"\n    Test list_all_agent_info_impl with disabled agents.\n\n    This test verifies that:\n    1. Agents with enabled=False are skipped and not included in the result\n    2. Only enabled agents are processed and returned\n    \"\"\"\n    # Setup mock agents with mixed enabled/disabled states\n    mock_agents = [\n        {\n            \"agent_id\": 1,\n            \"name\": \"Enabled Agent 1\",\n            \"display_name\": \"Display Enabled Agent 1\",\n            \"description\": \"First enabled agent\",\n            \"enabled\": True,\n            \"group_ids\": \"12\",\n            \"created_by\": \"user1\",\n            \"create_time\": 1,\n        },\n        {\n            \"agent_id\": 2,\n            \"name\": \"Disabled Agent\",\n            \"display_name\": \"Display Disabled Agent\",\n            \"description\": \"Disabled agent that should be skipped\",\n            \"enabled\": False,\n            \"group_ids\": \"13\",\n            \"created_by\": \"user2\",\n            \"create_time\": 2,\n        },\n        {\n            \"agent_id\": 3,\n            \"name\": \"Enabled Agent 2\",\n            \"display_name\": \"Display Enabled Agent 2\",\n            \"description\": \"Second enabled agent\",\n            \"enabled\": True,\n            \"group_ids\": \"12,14\",\n            \"created_by\": \"user3\",\n            \"create_time\": 3,\n        }\n    ]\n\n    mock_query_agents.return_value = mock_agents\n    mock_get_user_tenant.return_value = {\"user_role\": \"ADMIN\"}\n    mock_query_groups.return_value = []\n    mock_convert_list.side_effect = lambda x: [] if not x else [int(i) for i in x.split(\",\")]\n    mock_check_availability.side_effect = lambda *args, **kwargs: (True, [])\n    mock_get_model.return_value = None\n\n    # Execute\n    result = await list_all_agent_info_impl(tenant_id=\"test_tenant\", user_id=\"admin_user\")\n\n    # Assert - only enabled agents should be in the result\n    assert len(result) == 2\n    assert result[0][\"agent_id\"] == 1\n    assert result[0][\"name\"] == \"Enabled Agent 1\"\n    assert result[0][\"display_name\"] == \"Display Enabled Agent 1\"\n    assert result[0][\"is_available\"] == True\n    assert result[0][\"group_ids\"] == [12]\n\n    assert result[1][\"agent_id\"] == 3\n    assert result[1][\"name\"] == \"Enabled Agent 2\"\n    assert result[1][\"display_name\"] == \"Display Enabled Agent 2\"\n    assert result[1][\"is_available\"] == True\n    assert result[1][\"group_ids\"] == [12, 14]\n\n    # Verify mock calls\n    mock_query_agents.assert_called_once_with(tenant_id=\"test_tenant\")\n\n\n@pytest.mark.asyncio\n@patch(\"backend.services.agent_service.get_model_by_model_id\")\n@patch(\"backend.services.agent_service.check_agent_availability\")\n@patch(\"backend.services.agent_service.convert_string_to_list\")\n@patch(\"backend.services.agent_service.get_user_tenant_by_user_id\")\n@patch(\"backend.services.agent_service.query_group_ids_by_user\")\n@patch(\"backend.services.agent_service.query_all_agent_info_by_tenant_id\")\nasync def test_list_all_agent_info_impl_all_disabled_agents(\n    mock_query_agents,\n    mock_query_groups,\n    mock_get_user_tenant,\n    mock_convert_list,\n    mock_check_availability,\n    mock_get_model,\n):\n    \"\"\"\n    Test list_all_agent_info_impl with all agents disabled.\n\n    This test verifies that:\n    1. When all agents are disabled, an empty list is returned\n    2. No availability checks are made since no agents are processed\n    \"\"\"\n    # Setup mock agents - all disabled\n    mock_agents = [\n        {\n            \"agent_id\": 1,\n            \"name\": \"Disabled Agent 1\",\n            \"display_name\": \"Display Disabled Agent 1\",\n            \"description\": \"First disabled agent\",\n            \"enabled\": False,\n            \"group_ids\": \"15\",\n            \"created_by\": \"user1\",\n            \"create_time\": 1,\n        },\n        {\n            \"agent_id\": 2,\n            \"name\": \"Disabled Agent 2\",\n            \"display_name\": \"Display Disabled Agent 2\",\n            \"description\": \"Second disabled agent\",\n            \"enabled\": False,\n            \"group_ids\": \"16,17\",\n            \"created_by\": \"user2\",\n            \"create_time\": 2,\n        }\n    ]\n\n    mock_query_agents.return_value = mock_agents\n    mock_get_user_tenant.return_value = {\"user_role\": \"ADMIN\"}\n    mock_query_groups.return_value = []\n    mock_convert_list.return_value = []\n    mock_check_availability.return_value = (True, [])\n    mock_get_model.return_value = None\n\n    # Execute\n    result = await list_all_agent_info_impl(tenant_id=\"test_tenant\", user_id=\"admin_user\")\n\n    # Assert - no agents should be in the result\n    assert len(result) == 0\n    assert result == []\n\n    # Verify mock calls\n    mock_query_agents.assert_called_once_with(tenant_id=\"test_tenant\")\n    # No availability checks should be made since no agents are enabled\n    mock_check_availability.assert_not_called()\n\n\ndef test_apply_duplicate_name_availability_rules_handles_missing_fields():\n    \"\"\"\n    Ensure duplicate detection gracefully handles agents without name/display_name.\n    \"\"\"\n    enriched_agents = [\n        {\n            \"raw_agent\": {\n                \"agent_id\": 1,\n                \"name\": None,\n                \"display_name\": None,\n                \"create_time\": \"2024-01-01T00:00:00\",\n            },\n            \"unavailable_reasons\": [],\n        },\n        {\n            \"raw_agent\": {\n                \"agent_id\": 2,\n                \"name\": \"dup\",\n                \"display_name\": None,\n                \"create_time\": \"2024-01-01T00:00:00\",\n            },\n            \"unavailable_reasons\": [],\n        },\n        {\n            \"raw_agent\": {\n                \"agent_id\": 3,\n                \"name\": \"dup\",\n                \"display_name\": None,\n                \"create_time\": \"2024-02-01T00:00:00\",\n            },\n            \"unavailable_reasons\": [],\n        },\n        {\n            \"raw_agent\": {\n                \"agent_id\": 4,\n                \"name\": None,\n                \"display_name\": \"display-dup\",\n                \"create_time\": \"2024-01-01T00:00:00\",\n            },\n            \"unavailable_reasons\": [],\n        },\n        {\n            \"raw_agent\": {\n                \"agent_id\": 5,\n                \"name\": None,\n                \"display_name\": \"display-dup\",\n                \"create_time\": \"2024-02-01T00:00:00\",\n            },\n            \"unavailable_reasons\": [],\n        },\n    ]\n\n    _apply_duplicate_name_availability_rules(enriched_agents)\n\n    assert enriched_agents[0][\"unavailable_reasons\"] == []\n    assert \"duplicate_name\" not in enriched_agents[1][\"unavailable_reasons\"]\n    assert \"duplicate_name\" in enriched_agents[2][\"unavailable_reasons\"]\n    assert \"duplicate_display_name\" not in enriched_agents[3][\"unavailable_reasons\"]\n    assert \"duplicate_display_name\" in enriched_agents[4][\"unavailable_reasons\"]\n\n\n# ============================================================================\n# Tests for Agent Export/Import Integration with model_name fields\n# ============================================================================\n\n\n@patch('backend.services.agent_service.create_tool_config_list')\n@patch('backend.services.agent_service.query_sub_agents_id_list')\n@patch('backend.services.agent_service.get_model_by_model_id')\n@patch('backend.services.agent_service.search_agent_info_by_agent_id')\n@pytest.mark.asyncio\nasync def test_export_agent_includes_model_names(\n    mock_search_agent_info,\n    mock_get_model_by_model_id,\n    mock_query_sub_agents,\n    mock_create_tool_config\n):\n    \"\"\"\n    Test that export_agent_by_agent_id correctly includes model_name and\n    business_logic_model_name in the exported data.\n    \"\"\"\n    # Setup - Agent info from database\n    mock_agent_info_from_db = {\n        \"name\": \"test_agent\",\n        \"display_name\": \"Test Agent\",\n        \"description\": \"Test description\",\n        \"business_description\": \"Test business description\",\n        \"max_steps\": 5,\n        \"provide_run_summary\": False,\n        \"duty_prompt\": \"Test duty\",\n        \"constraint_prompt\": \"Test constraints\",\n        \"few_shots_prompt\": \"Test examples\",\n        \"enabled\": True,\n        \"model_id\": 5,\n        \"business_logic_model_id\": 4\n    }\n    mock_search_agent_info.return_value = mock_agent_info_from_db\n\n    # Mock model lookup - this is where model_name comes from\n    def get_model_side_effect(model_id):\n        if model_id == 5:\n            return {\"display_name\": \"Qwen/Qwen3-8B\", \"model_id\": 5}\n        elif model_id == 4:\n            return {\"display_name\": \"Qwen/QwQ-32B\", \"model_id\": 4}\n        return None\n\n    mock_get_model_by_model_id.side_effect = get_model_side_effect\n\n    mock_query_sub_agents.return_value = []\n    mock_create_tool_config.return_value = []\n\n    # Execute export\n    exported_agent = await export_agent_by_agent_id(\n        agent_id=123,\n        tenant_id=\"test_tenant\",\n        user_id=\"test_user\"\n    )\n\n    # Assert - verify exported data includes model names\n    assert isinstance(exported_agent, ExportAndImportAgentInfo)\n\n    # Critical assertions - these fields must be present for import to work\n    assert exported_agent.model_id == 5\n    assert exported_agent.model_name == \"Qwen/Qwen3-8B\"  # ← Must be present\n    assert exported_agent.business_logic_model_id == 4\n    assert exported_agent.business_logic_model_name == \"Qwen/QwQ-32B\"  # ← Must be present\n\n    # Verify other fields\n    assert exported_agent.name == \"test_agent\"\n    assert exported_agent.display_name == \"Test Agent\"\n\n\n@patch('backend.services.agent_service.create_tool_config_list')\n@patch('backend.services.agent_service.query_sub_agents_id_list')\n@patch('backend.services.agent_service.get_model_by_model_id')\n@patch('backend.services.agent_service.search_agent_info_by_agent_id')\n@pytest.mark.asyncio\nasync def test_export_agent_with_null_model_id(\n    mock_search_agent_info,\n    mock_get_model_by_model_id,\n    mock_query_sub_agents,\n    mock_create_tool_config\n):\n    \"\"\"\n    Test export when model_id is NULL in database.\n    \"\"\"\n    # Setup - Agent with NULL model_id\n    mock_agent_info_from_db = {\n        \"name\": \"agent_without_model\",\n        \"display_name\": \"Agent Without Model\",\n        \"description\": \"Test description\",\n        \"business_description\": \"Test business description\",\n        \"max_steps\": 5,\n        \"provide_run_summary\": False,\n        \"duty_prompt\": \"Test duty\",\n        \"constraint_prompt\": \"Test constraints\",\n        \"few_shots_prompt\": \"Test examples\",\n        \"enabled\": True,\n        \"model_id\": None,  # NULL in database\n        \"business_logic_model_id\": None  # NULL in database\n    }\n    mock_search_agent_info.return_value = mock_agent_info_from_db\n    mock_query_sub_agents.return_value = []\n    mock_create_tool_config.return_value = []\n\n    # Execute export\n    exported_agent = await export_agent_by_agent_id(\n        agent_id=123,\n        tenant_id=\"test_tenant\",\n        user_id=\"test_user\"\n    )\n\n    # Assert - should handle NULL gracefully\n    assert exported_agent.model_id is None\n    assert exported_agent.model_name is None\n    assert exported_agent.business_logic_model_id is None\n    assert exported_agent.business_logic_model_name is None\n\n    # get_model_by_model_id should not have been called\n    mock_get_model_by_model_id.assert_not_called()\n\n\n@patch('backend.services.agent_service.get_model_id_by_display_name')\n@patch('backend.services.agent_service.create_or_update_tool_by_tool_info')\n@patch('backend.services.agent_service.create_agent')\n@patch('backend.services.agent_service.query_all_tools')\n@patch('backend.services.agent_service.create_tool_config_list')\n@patch('backend.services.agent_service.query_sub_agents_id_list')\n@patch('backend.services.agent_service.get_model_by_model_id')\n@patch('backend.services.agent_service.search_agent_info_by_agent_id')\n@pytest.mark.asyncio\nasync def test_export_then_import_preserves_model_names(\n    mock_search_agent_info,\n    mock_get_model_by_model_id,\n    mock_query_sub_agents,\n    mock_create_tool_config,\n    mock_query_all_tools,\n    mock_create_agent,\n    mock_create_tool,\n    mock_get_model_id_by_display_name\n):\n    \"\"\"\n    Integration test: Export an agent, then import it, verify model names are preserved.\n\n    This test simulates the complete export/import cycle to ensure data integrity.\n    \"\"\"\n    # ========== STEP 1: EXPORT ==========\n\n    # Setup - Agent in source tenant\n    mock_agent_info_from_db = {\n        \"name\": \"iot_knowledge_qa_assistant\",\n        \"display_name\": \"物联网知识问答助手\",\n        \"description\": \"IoT Q&A Assistant\",\n        \"business_description\": \"IoT knowledge retrieval\",\n        \"max_steps\": 5,\n        \"provide_run_summary\": False,\n        \"duty_prompt\": \"You are an IoT assistant\",\n        \"constraint_prompt\": \"Follow safety rules\",\n        \"few_shots_prompt\": \"Example tasks\",\n        \"enabled\": True,\n        \"model_id\": 10,  # Model ID in source tenant\n        \"business_logic_model_id\": 9  # Business logic model ID in source tenant\n    }\n    mock_search_agent_info.return_value = mock_agent_info_from_db\n\n    # Mock model lookup for export\n    def get_model_for_export(model_id):\n        if model_id == 10:\n            return {\"display_name\": \"Qwen/Qwen3-8B\", \"model_id\": 10}\n        elif model_id == 9:\n            return {\"display_name\": \"Qwen/QwQ-32B\", \"model_id\": 9}\n        return None\n\n    mock_get_model_by_model_id.side_effect = get_model_for_export\n    mock_query_sub_agents.return_value = []\n    mock_create_tool_config.return_value = []\n\n    # Execute export\n    exported_agent = await export_agent_by_agent_id(\n        agent_id=123,\n        tenant_id=\"source_tenant\",\n        user_id=\"source_user\"\n    )\n\n    # Verify export includes model names\n    assert exported_agent.model_id == 10\n    assert exported_agent.model_name == \"Qwen/Qwen3-8B\"\n    assert exported_agent.business_logic_model_id == 9\n    assert exported_agent.business_logic_model_name == \"Qwen/QwQ-32B\"\n\n    # ========== STEP 2: IMPORT ==========\n\n    # Setup for import - simulate different model IDs in target tenant\n    mock_query_all_tools.return_value = []\n\n    # In target tenant, same models have different IDs\n    # Source: model_id=10 → Target: model_id=5\n    # Source: business_logic_model_id=9 → Target: business_logic_model_id=4\n    mock_get_model_id_by_display_name.side_effect = [5, 4]\n\n    mock_create_agent.return_value = {\"agent_id\": 999}\n\n    # Execute import\n    new_agent_id = await import_agent_by_agent_id(\n        import_agent_info=exported_agent,\n        tenant_id=\"target_tenant\",\n        user_id=\"target_user\"\n    )\n\n    # Verify import was successful\n    assert new_agent_id == 999\n\n    # ========== STEP 3: VERIFY DATA INTEGRITY ==========\n\n    # Verify create_agent was called with correct model information\n    mock_create_agent.assert_called_once()\n    call_kwargs = mock_create_agent.call_args[1]\n    agent_info_dict = call_kwargs[\"agent_info\"]\n\n    # Model IDs should be REMAPPED to target tenant IDs\n    assert agent_info_dict[\"model_id\"] == 5  # Remapped from 10 to 5\n    assert agent_info_dict[\"business_logic_model_id\"] == 4  # Remapped from 9 to 4\n\n    # Model NAMES should be PRESERVED (not remapped)\n    assert agent_info_dict[\"model_name\"] == \"Qwen/Qwen3-8B\"  # ← Preserved\n    assert agent_info_dict[\"business_logic_model_name\"] == \"Qwen/QwQ-32B\"  # ← Preserved\n\n    # Other fields should also be preserved\n    assert agent_info_dict[\"name\"] == \"iot_knowledge_qa_assistant\"\n    assert agent_info_dict[\"display_name\"] == \"物联网知识问答助手\"\n    assert agent_info_dict[\"description\"] == \"IoT Q&A Assistant\"\n    assert agent_info_dict[\"max_steps\"] == 5\n\n    # Verify model lookup was done by display name (model_name)\n    assert mock_get_model_id_by_display_name.call_count == 2\n    first_call = mock_get_model_id_by_display_name.call_args_list[0]\n    second_call = mock_get_model_id_by_display_name.call_args_list[1]\n\n    # get_model_id_by_display_name(display_name: str, tenant_id: str) uses positional args\n    assert first_call[0][0] == \"Qwen/Qwen3-8B\"  # display_name\n    assert first_call[0][1] == \"target_tenant\"  # tenant_id\n    assert second_call[0][0] == \"Qwen/QwQ-32B\"  # display_name\n    assert second_call[0][1] == \"target_tenant\"  # tenant_id\n\n\n@patch('backend.services.agent_service.create_tool_config_list')\n@patch('backend.services.agent_service.query_sub_agents_id_list')\n@patch('backend.services.agent_service.get_model_by_model_id')\n@patch('backend.services.agent_service.search_agent_info_by_agent_id')\n@pytest.mark.asyncio\nasync def test_export_agent_model_not_found(\n    mock_search_agent_info,\n    mock_get_model_by_model_id,\n    mock_query_sub_agents,\n    mock_create_tool_config\n):\n    \"\"\"\n    Test export when model_id exists but model record is not found.\n\n    This can happen if:\n    - Model was deleted after agent creation\n    - Database inconsistency\n    \"\"\"\n    # Setup\n    mock_agent_info_from_db = {\n        \"name\": \"orphaned_agent\",\n        \"display_name\": \"Orphaned Agent\",\n        \"description\": \"Agent with missing model\",\n        \"business_description\": \"Test\",\n        \"max_steps\": 5,\n        \"provide_run_summary\": False,\n        \"duty_prompt\": \"Test\",\n        \"constraint_prompt\": \"Test\",\n        \"few_shots_prompt\": \"Test\",\n        \"enabled\": True,\n        \"model_id\": 999,  # This model doesn't exist\n        \"business_logic_model_id\": 998  # This model doesn't exist\n    }\n    mock_search_agent_info.return_value = mock_agent_info_from_db\n\n    # Model lookup returns None (model not found)\n    mock_get_model_by_model_id.return_value = None\n\n    mock_query_sub_agents.return_value = []\n    mock_create_tool_config.return_value = []\n\n    # Execute export\n    exported_agent = await export_agent_by_agent_id(\n        agent_id=123,\n        tenant_id=\"test_tenant\",\n        user_id=\"test_user\"\n    )\n\n    # Assert - should handle gracefully\n    assert exported_agent.model_id == 999  # ID is preserved\n    assert exported_agent.model_name is None  # But name is None (model not found)\n    assert exported_agent.business_logic_model_id == 998\n    assert exported_agent.business_logic_model_name is None\n\n\n@patch('backend.services.agent_service.get_model_id_by_display_name')\n@patch('backend.services.agent_service.create_or_update_tool_by_tool_info')\n@patch('backend.services.agent_service.create_agent')\n@patch('backend.services.agent_service.query_all_tools')\n@pytest.mark.asyncio\nasync def test_import_agent_model_name_consistency(\n    mock_query_all_tools,\n    mock_create_agent,\n    mock_create_tool,\n    mock_get_model_id_by_display_name\n):\n    \"\"\"\n    Test that both model_id and model_name are consistently saved during import.\n\n    This test ensures that:\n    1. model_id is looked up from model_name\n    2. Both model_id AND model_name are saved to database\n    3. This maintains data consistency and cross-tenant compatibility\n    \"\"\"\n    # Setup\n    mock_query_all_tools.return_value = []\n    mock_get_model_id_by_display_name.side_effect = [5, 4]\n\n    # Track what was passed to create_agent\n    captured_agent_info = {}\n\n    def capture_agent_info(agent_info, tenant_id, user_id):\n        captured_agent_info.update(agent_info)\n        return {\"agent_id\": 888}\n\n    mock_create_agent.side_effect = capture_agent_info\n\n    # Create import data\n    agent_info = ExportAndImportAgentInfo(\n        agent_id=123,\n        name=\"consistency_test_agent\",\n        display_name=\"Consistency Test Agent\",\n        description=\"Testing model field consistency\",\n        business_description=\"Test\",\n        max_steps=5,\n        provide_run_summary=False,\n        duty_prompt=\"Test\",\n        constraint_prompt=\"Test\",\n        few_shots_prompt=\"Test\",\n        enabled=True,\n        tools=[],\n        managed_agents=[],\n        model_id=100,  # Original ID (will be remapped)\n        model_name=\"Qwen/Qwen3-8B\",  # Used for lookup\n        business_logic_model_id=99,  # Original ID (will be remapped)\n        business_logic_model_name=\"Qwen/QwQ-32B\"  # Used for lookup\n    )\n\n    # Execute import\n    result = await import_agent_by_agent_id(\n        import_agent_info=agent_info,\n        tenant_id=\"test_tenant\",\n        user_id=\"test_user\"\n    )\n\n    # Assert\n    assert result == 888\n\n    # Verify BOTH model_id (remapped) AND model_name (preserved) are in database\n    assert \"model_id\" in captured_agent_info\n    assert \"model_name\" in captured_agent_info\n    assert \"business_logic_model_id\" in captured_agent_info\n    assert \"business_logic_model_name\" in captured_agent_info\n\n    # Verify consistency between ID and name\n    assert captured_agent_info[\"model_id\"] == 5  # Remapped ID\n    assert captured_agent_info[\"model_name\"] == \"Qwen/Qwen3-8B\"  # Preserved name\n\n    assert captured_agent_info[\"business_logic_model_id\"] == 4  # Remapped ID\n    assert captured_agent_info[\"business_logic_model_name\"] == \"Qwen/QwQ-32B\"  # Preserved name\n\n    # This consistency allows:\n    # 1. Fast lookups by model_id (integer index)\n    # 2. Human-readable model information (model_name)\n    # 3. Cross-tenant import compatibility (lookup by name, save by ID)\n\n\n# ============================================================================\n# Tests for Agent Import with Quick Config Model Fallback\n# ============================================================================\n\n\n@pytest.fixture\ndef mock_tenant_id():\n    \"\"\"Fixture for tenant ID\"\"\"\n    return \"test_tenant_123\"\n\n\n@pytest.fixture\ndef mock_user_id():\n    \"\"\"Fixture for user ID\"\"\"\n    return \"test_user_456\"\n\n\n@pytest.fixture\ndef sample_agent_info():\n    \"\"\"Fixture for sample agent import information\"\"\"\n    return {\n        \"agent_id\": 1,\n        \"name\": \"test_agent\",\n        \"display_name\": \"Test Agent\",\n        \"description\": \"Test description\",\n        \"business_description\": \"Test business description\",\n        \"model_id\": 10,  # Original model ID from source tenant\n        \"model_name\": \"Qwen/Qwen3-8B\",  # Model that might not exist in target tenant\n        \"business_logic_model_id\": 20,  # Original business logic model ID\n        \"business_logic_model_name\": \"Qwen/QwQ-32B\",  # Business logic model\n        \"max_steps\": 5,\n        \"provide_run_summary\": True,\n        \"duty_prompt\": \"Test duty\",\n        \"constraint_prompt\": \"Test constraint\",\n        \"few_shots_prompt\": \"Test few shots\",\n        \"enabled\": True,\n        \"tools\": [],\n        \"managed_agents\": []\n    }\n\n\n@pytest.fixture\ndef sample_quick_config_model():\n    \"\"\"Fixture for quick config LLM model\"\"\"\n    return {\n        \"model_id\": 100,\n        \"model_name\": \"DeepSeek/DeepSeek-V3\",\n        \"display_name\": \"DeepSeek V3\",\n        \"model_repo\": \"DeepSeek\",\n        \"model_type\": \"chat\",\n        \"api_key\": \"test_key\",\n        \"base_url\": \"https://api.deepseek.com\"\n    }\n\n\n@pytest.fixture\ndef mock_import_agent_info(sample_agent_info):\n    \"\"\"Fixture for ExportAndImportAgentInfo object\"\"\"\n    return ExportAndImportAgentInfo(**sample_agent_info)\n\n\n@pytest.mark.asyncio\n@patch(\"backend.services.agent_service.query_all_tools\")\n@patch(\"backend.services.agent_service.get_model_id_by_display_name\")\n@patch(\"backend.services.agent_service.tenant_config_manager\")\n@patch(\"backend.services.agent_service.create_agent\")\nasync def test_main_model_fallback_to_quick_config(\n    mock_create_agent,\n    mock_tenant_config_manager,\n    mock_get_model_id,\n    mock_query_tools,\n    mock_tenant_id,\n    mock_user_id,\n    sample_agent_info,\n    sample_quick_config_model,\n    mock_import_agent_info\n):\n    \"\"\"\n    Test that when main model is not found, system falls back to quick config LLM model\n\n    Scenario:\n    - Agent config specifies \"Qwen/Qwen3-8B\" as main model\n    - Model not found in target tenant\n    - System should fallback to quick config LLM model (DeepSeek V3)\n    - Agent should be created with quick config model_id\n    \"\"\"\n    # Setup: No tools to process\n    mock_query_tools.return_value = []\n\n    # Setup: Model not found by display name, but quick config exists\n    mock_get_model_id.side_effect = [\n        None,  # Main model not found\n        50  # Business logic model found\n    ]\n\n    mock_tenant_config_manager.get_model_config.return_value = sample_quick_config_model\n\n    mock_create_agent.return_value = {\n        \"agent_id\": 999,\n        \"name\": sample_agent_info[\"name\"]\n    }\n\n    # Execute\n    result = await import_agent_by_agent_id(\n        import_agent_info=mock_import_agent_info,\n        tenant_id=mock_tenant_id,\n        user_id=mock_user_id\n    )\n\n    # Verify: Quick config model was requested\n    from consts.const import MODEL_CONFIG_MAPPING\n    mock_tenant_config_manager.get_model_config.assert_called_with(\n        key=MODEL_CONFIG_MAPPING[\"llm\"],\n        tenant_id=mock_tenant_id\n    )\n\n    # Verify: Agent was created with quick config model_id\n    mock_create_agent.assert_called_once()\n    call_args = mock_create_agent.call_args\n    agent_info = call_args.kwargs[\"agent_info\"]\n\n    assert agent_info[\"model_id\"] == sample_quick_config_model[\"model_id\"]\n    assert result == 999\n\n\n@pytest.mark.asyncio\n@patch(\"backend.services.agent_service.query_all_tools\")\n@patch(\"backend.services.agent_service.get_model_id_by_display_name\")\n@patch(\"backend.services.agent_service.tenant_config_manager\")\n@patch(\"backend.services.agent_service.create_agent\")\nasync def test_business_logic_model_fallback_to_quick_config(\n    mock_create_agent,\n    mock_tenant_config_manager,\n    mock_get_model_id,\n    mock_query_tools,\n    mock_tenant_id,\n    mock_user_id,\n    sample_agent_info,\n    sample_quick_config_model,\n    mock_import_agent_info\n):\n    \"\"\"\n    Test that when business logic model is not found, system falls back to quick config LLM model\n\n    Scenario:\n    - Agent config specifies \"Qwen/QwQ-32B\" as business logic model\n    - Business logic model not found in target tenant\n    - System should fallback to quick config LLM model\n    - Agent should be created with quick config model_id for business logic\n    \"\"\"\n    # Setup: No tools to process\n    mock_query_tools.return_value = []\n\n    # Setup: Main model found, but business logic model not found\n    main_model_id = 50\n    mock_get_model_id.side_effect = [\n        main_model_id,  # Main model found\n        None  # Business logic model not found\n    ]\n\n    mock_tenant_config_manager.get_model_config.return_value = sample_quick_config_model\n\n    mock_create_agent.return_value = {\n        \"agent_id\": 888,\n        \"name\": sample_agent_info[\"name\"]\n    }\n\n    # Execute\n    result = await import_agent_by_agent_id(\n        import_agent_info=mock_import_agent_info,\n        tenant_id=mock_tenant_id,\n        user_id=mock_user_id\n    )\n\n    # Verify: Quick config model was requested for business logic model\n    from consts.const import MODEL_CONFIG_MAPPING\n    mock_tenant_config_manager.get_model_config.assert_called_with(\n        key=MODEL_CONFIG_MAPPING[\"llm\"],\n        tenant_id=mock_tenant_id\n    )\n\n    # Verify: Agent was created with correct model IDs\n    mock_create_agent.assert_called_once()\n    call_args = mock_create_agent.call_args\n    agent_info = call_args.kwargs[\"agent_info\"]\n\n    assert agent_info[\"model_id\"] == main_model_id\n    assert agent_info[\"business_logic_model_id\"] == sample_quick_config_model[\"model_id\"]\n    assert result == 888\n\n\n@pytest.mark.asyncio\n@patch(\"backend.services.agent_service.query_all_tools\")\n@patch(\"backend.services.agent_service.get_model_id_by_display_name\")\n@patch(\"backend.services.agent_service.tenant_config_manager\")\n@patch(\"backend.services.agent_service.create_agent\")\nasync def test_both_models_fallback_to_quick_config(\n    mock_create_agent,\n    mock_tenant_config_manager,\n    mock_get_model_id,\n    mock_query_tools,\n    mock_tenant_id,\n    mock_user_id,\n    sample_agent_info,\n    sample_quick_config_model,\n    mock_import_agent_info\n):\n    \"\"\"\n    Test that both main and business logic models fallback to quick config when not found\n\n    Scenario:\n    - Neither main model nor business logic model found in target tenant\n    - Both should fallback to quick config LLM model\n    - Agent should be created with quick config model_id for both fields\n    \"\"\"\n    # Setup: No tools to process\n    mock_query_tools.return_value = []\n\n    # Setup: Both models not found\n    mock_get_model_id.side_effect = [\n        None,  # Main model not found\n        None  # Business logic model not found\n    ]\n\n    mock_tenant_config_manager.get_model_config.return_value = sample_quick_config_model\n\n    mock_create_agent.return_value = {\n        \"agent_id\": 777,\n        \"name\": sample_agent_info[\"name\"]\n    }\n\n    # Execute\n    result = await import_agent_by_agent_id(\n        import_agent_info=mock_import_agent_info,\n        tenant_id=mock_tenant_id,\n        user_id=mock_user_id\n    )\n\n    # Verify: Quick config model was requested twice (once for each model)\n    assert mock_tenant_config_manager.get_model_config.call_count == 2\n\n    # Verify: Agent was created with quick config model_id for both fields\n    mock_create_agent.assert_called_once()\n    call_args = mock_create_agent.call_args\n    agent_info = call_args.kwargs[\"agent_info\"]\n\n    assert agent_info[\"model_id\"] == sample_quick_config_model[\"model_id\"]\n    assert agent_info[\"business_logic_model_id\"] == sample_quick_config_model[\"model_id\"]\n    assert result == 777\n\n\n@pytest.mark.asyncio\n@patch(\"backend.services.agent_service.query_all_tools\")\n@patch(\"backend.services.agent_service.get_model_id_by_display_name\")\n@patch(\"backend.services.agent_service.tenant_config_manager\")\n@patch(\"backend.services.agent_service.create_agent\")\nasync def test_no_quick_config_model_available(\n    mock_create_agent,\n    mock_tenant_config_manager,\n    mock_get_model_id,\n    mock_query_tools,\n    mock_tenant_id,\n    mock_user_id,\n    sample_agent_info,\n    mock_import_agent_info\n):\n    \"\"\"\n    Test behavior when model not found and no quick config model is available\n\n    Scenario:\n    - Main model not found in target tenant\n    - Quick config LLM model also not configured\n    - Agent should be created with model_id = None\n    \"\"\"\n    # Setup: No tools to process\n    mock_query_tools.return_value = []\n\n    # Setup: Model not found and no quick config\n    mock_get_model_id.side_effect = [\n        None,  # Main model not found\n        50  # Business logic model found\n    ]\n\n    mock_tenant_config_manager.get_model_config.return_value = None  # No quick config\n\n    mock_create_agent.return_value = {\n        \"agent_id\": 666,\n        \"name\": sample_agent_info[\"name\"]\n    }\n\n    # Execute\n    result = await import_agent_by_agent_id(\n        import_agent_info=mock_import_agent_info,\n        tenant_id=mock_tenant_id,\n        user_id=mock_user_id\n    )\n\n    # Verify: Quick config was attempted\n    from consts.const import MODEL_CONFIG_MAPPING\n    mock_tenant_config_manager.get_model_config.assert_called_with(\n        key=MODEL_CONFIG_MAPPING[\"llm\"],\n        tenant_id=mock_tenant_id\n    )\n\n    # Verify: Agent was created with model_id = None\n    mock_create_agent.assert_called_once()\n    call_args = mock_create_agent.call_args\n    agent_info = call_args.kwargs[\"agent_info\"]\n\n    assert agent_info[\"model_id\"] is None\n    assert agent_info[\"business_logic_model_id\"] == 50\n    assert result == 666\n\n\n@pytest.mark.asyncio\n@patch(\"backend.services.agent_service.query_all_tools\")\n@patch(\"backend.services.agent_service.get_model_id_by_display_name\")\n@patch(\"backend.services.agent_service.tenant_config_manager\")\n@patch(\"backend.services.agent_service.create_agent\")\nasync def test_model_found_no_fallback_needed(\n    mock_create_agent,\n    mock_tenant_config_manager,\n    mock_get_model_id,\n    mock_query_tools,\n    mock_tenant_id,\n    mock_user_id,\n    sample_agent_info,\n    mock_import_agent_info\n):\n    \"\"\"\n    Test that quick config fallback is NOT used when model is found\n\n    Scenario:\n    - Both main model and business logic model found in target tenant\n    - Quick config should NOT be called\n    - Agent should be created with found model IDs\n    \"\"\"\n    # Setup: No tools to process\n    mock_query_tools.return_value = []\n\n    # Setup: Both models found\n    main_model_id = 30\n    business_logic_model_id = 40\n\n    mock_get_model_id.side_effect = [\n        main_model_id,  # Main model found\n        business_logic_model_id  # Business logic model found\n    ]\n\n    mock_create_agent.return_value = {\n        \"agent_id\": 555,\n        \"name\": sample_agent_info[\"name\"]\n    }\n\n    # Execute\n    result = await import_agent_by_agent_id(\n        import_agent_info=mock_import_agent_info,\n        tenant_id=mock_tenant_id,\n        user_id=mock_user_id\n    )\n\n    # Verify: Quick config was NOT called\n    mock_tenant_config_manager.get_model_config.assert_not_called()\n\n    # Verify: Agent was created with found model IDs\n    mock_create_agent.assert_called_once()\n    call_args = mock_create_agent.call_args\n    agent_info = call_args.kwargs[\"agent_info\"]\n\n    assert agent_info[\"model_id\"] == main_model_id\n    assert agent_info[\"business_logic_model_id\"] == business_logic_model_id\n    assert result == 555\n\n\n# ============================================================================\n# Tests for Model Name Fields in Import\n# ============================================================================\n\n\n@patch('backend.services.agent_service.get_model_id_by_display_name')\n@patch('backend.services.agent_service.create_or_update_tool_by_tool_info')\n@patch('backend.services.agent_service.create_agent')\n@patch('backend.services.agent_service.query_all_tools')\n@pytest.mark.asyncio\nasync def test_import_agent_includes_model_names(\n    mock_query_all_tools,\n    mock_create_agent,\n    mock_create_tool,\n    mock_get_model_id\n):\n    \"\"\"\n    Test that import_agent_by_agent_id passes model_name and business_logic_model_name\n    to create_agent, ensuring these fields are not NULL in the database.\n\n    This test verifies the fix for the bug where these fields were missing from the\n    agent_info dictionary passed to create_agent().\n    \"\"\"\n    # Setup\n    mock_tool_info = [\n        {\n            \"tool_id\": 101,\n            \"class_name\": \"TestTool\",\n            \"source\": \"local\",\n            \"params\": [{\"name\": \"param1\", \"type\": \"string\"}],\n            \"description\": \"Test tool\",\n            \"name\": \"Test Tool\",\n            \"inputs\": \"test input\",\n            \"output_type\": \"string\"\n        }\n    ]\n    mock_query_all_tools.return_value = mock_tool_info\n\n    # Mock model ID lookup to return valid IDs\n    mock_get_model_id.side_effect = [5, 4]  # First call for model_id, second for business_logic_model_id\n\n    mock_create_agent.return_value = {\"agent_id\": 999}\n\n    # Create import data with model_name and business_logic_model_name\n    from nexent.core.agents.agent_model import ToolConfig as NexentToolConfig\n\n    tool_config = NexentToolConfig(\n        class_name=\"TestTool\",\n        name=\"Test Tool\",\n        source=\"local\",\n        params={\"param1\": \"value1\"},\n        metadata={},\n        description=\"Test tool\",\n        inputs=\"test input\",\n        output_type=\"string\",\n        usage=None\n    )\n\n    agent_info = ExportAndImportAgentInfo(\n        agent_id=123,\n        name=\"iot_knowledge_qa_assistant\",\n        display_name=\"物联网知识问答助手\",\n        description=\"IoT Q&A Assistant\",\n        business_description=\"IoT knowledge retrieval assistant\",\n        max_steps=5,\n        provide_run_summary=False,\n        duty_prompt=\"You are an IoT Q&A assistant\",\n        constraint_prompt=\"Follow safety guidelines\",\n        few_shots_prompt=\"Example tasks...\",\n        enabled=True,\n        tools=[tool_config],\n        managed_agents=[],\n        model_id=5,\n        model_name=\"Qwen/Qwen3-8B\",  # This is critical\n        business_logic_model_id=4,\n        business_logic_model_name=\"Qwen/QwQ-32B\"  # This is critical\n    )\n\n    # Execute\n    result = await import_agent_by_agent_id(\n        import_agent_info=agent_info,\n        tenant_id=\"test_tenant\",\n        user_id=\"test_user\"\n    )\n\n    # Assert - verify the agent was created\n    assert result == 999\n\n    # Critical assertion: verify that model_name and business_logic_model_name\n    # were passed to create_agent\n    mock_create_agent.assert_called_once()\n    call_kwargs = mock_create_agent.call_args[1]\n    agent_info_dict = call_kwargs[\"agent_info\"]\n\n    # Verify all model-related fields are present\n    assert \"model_id\" in agent_info_dict\n    assert \"model_name\" in agent_info_dict  # ← This was missing before the fix\n    assert \"business_logic_model_id\" in agent_info_dict\n    assert \"business_logic_model_name\" in agent_info_dict  # ← This was missing before the fix\n\n    # Verify the values are correct\n    assert agent_info_dict[\"model_name\"] == \"Qwen/Qwen3-8B\"\n    assert agent_info_dict[\"business_logic_model_name\"] == \"Qwen/QwQ-32B\"\n\n    # Verify other fields are also present\n    assert agent_info_dict[\"name\"] == \"iot_knowledge_qa_assistant\"\n    assert agent_info_dict[\"display_name\"] == \"物联网知识问答助手\"\n    assert agent_info_dict[\"max_steps\"] == 5\n\n\n@patch('backend.services.agent_service.get_model_id_by_display_name')\n@patch('backend.services.agent_service.create_or_update_tool_by_tool_info')\n@patch('backend.services.agent_service.create_agent')\n@patch('backend.services.agent_service.query_all_tools')\n@pytest.mark.asyncio\nasync def test_import_agent_without_business_logic_model(\n    mock_query_all_tools,\n    mock_create_agent,\n    mock_create_tool,\n    mock_get_model_id\n):\n    \"\"\"\n    Test import when business_logic_model_name is None.\n\n    Verifies that the function handles cases where business logic model is not set.\n    \"\"\"\n    # Setup\n    mock_query_all_tools.return_value = []\n    mock_get_model_id.return_value = 5  # Only one model lookup\n    mock_create_agent.return_value = {\"agent_id\": 888}\n\n    agent_info = ExportAndImportAgentInfo(\n        agent_id=123,\n        name=\"simple_agent\",\n        display_name=\"Simple Agent\",\n        description=\"A simple agent\",\n        business_description=\"Simple agent description\",\n        max_steps=3,\n        provide_run_summary=False,\n        duty_prompt=\"Do your duty\",\n        constraint_prompt=\"Follow constraints\",\n        few_shots_prompt=\"Examples\",\n        enabled=True,\n        tools=[],\n        managed_agents=[],\n        model_id=5,\n        model_name=\"Qwen/Qwen3-8B\",\n        business_logic_model_id=None,  # No business logic model\n        business_logic_model_name=None\n    )\n\n    # Execute\n    result = await import_agent_by_agent_id(\n        import_agent_info=agent_info,\n        tenant_id=\"test_tenant\",\n        user_id=\"test_user\"\n    )\n\n    # Assert\n    assert result == 888\n    mock_create_agent.assert_called_once()\n\n    call_kwargs = mock_create_agent.call_args[1]\n    agent_info_dict = call_kwargs[\"agent_info\"]\n\n    # Verify model fields are present\n    assert agent_info_dict[\"model_name\"] == \"Qwen/Qwen3-8B\"\n    assert agent_info_dict[\"business_logic_model_name\"] is None\n    assert agent_info_dict[\"business_logic_model_id\"] is None\n\n\n@patch('backend.services.agent_service.get_model_id_by_display_name')\n@patch('backend.services.agent_service.create_or_update_tool_by_tool_info')\n@patch('backend.services.agent_service.create_agent')\n@patch('backend.services.agent_service.query_all_tools')\n@pytest.mark.asyncio\nasync def test_import_agent_model_lookup_by_display_name(\n    mock_query_all_tools,\n    mock_create_agent,\n    mock_create_tool,\n    mock_get_model_id\n):\n    \"\"\"\n    Test that model_id is looked up by display_name (model_name) for cross-tenant compatibility.\n\n    This test verifies that the import process uses model_name to find the corresponding\n    model_id in the target tenant, rather than directly using the exported model_id.\n    \"\"\"\n    # Setup\n    mock_query_all_tools.return_value = []\n\n    # Simulate cross-tenant import where model IDs are different\n    # Exported: model_id=10, model_name=\"Qwen/Qwen3-8B\"\n    # Target tenant: model_id=5 for \"Qwen/Qwen3-8B\"\n    mock_get_model_id.side_effect = [5, 4]  # Returns different IDs than exported\n\n    mock_create_agent.return_value = {\"agent_id\": 777}\n\n    agent_info = ExportAndImportAgentInfo(\n        agent_id=123,\n        name=\"cross_tenant_agent\",\n        display_name=\"Cross Tenant Agent\",\n        description=\"Agent imported from another tenant\",\n        business_description=\"Cross-tenant import test\",\n        max_steps=5,\n        provide_run_summary=False,\n        duty_prompt=\"Cross-tenant duty\",\n        constraint_prompt=\"Cross-tenant constraints\",\n        few_shots_prompt=\"Cross-tenant examples\",\n        enabled=True,\n        tools=[],\n        managed_agents=[],\n        model_id=10,  # Original model_id in source tenant\n        model_name=\"Qwen/Qwen3-8B\",  # Used for lookup in target tenant\n        business_logic_model_id=9,  # Original business logic model_id\n        business_logic_model_name=\"Qwen/QwQ-32B\"  # Used for lookup\n    )\n\n    # Execute\n    result = await import_agent_by_agent_id(\n        import_agent_info=agent_info,\n        tenant_id=\"target_tenant\",\n        user_id=\"test_user\"\n    )\n\n    # Assert\n    assert result == 777\n\n    # Verify model lookup was called with display names (model_name)\n    assert mock_get_model_id.call_count == 2\n    first_call = mock_get_model_id.call_args_list[0]\n    second_call = mock_get_model_id.call_args_list[1]\n\n    # First call should be for model_name\n    # get_model_id_by_display_name(display_name: str, tenant_id: str) uses positional args\n    assert first_call[0][0] == \"Qwen/Qwen3-8B\"  # display_name\n    assert first_call[0][1] == \"target_tenant\"  # tenant_id\n\n    # Second call should be for business_logic_model_name\n    assert second_call[0][0] == \"Qwen/QwQ-32B\"  # display_name\n    assert second_call[0][1] == \"target_tenant\"  # tenant_id\n\n    # Verify the NEW model IDs (from target tenant) were used, not the exported ones\n    call_kwargs = mock_create_agent.call_args[1]\n    agent_info_dict = call_kwargs[\"agent_info\"]\n\n    assert agent_info_dict[\"model_id\"] == 5  # New ID, not 10\n    assert agent_info_dict[\"business_logic_model_id\"] == 4  # New ID, not 9\n\n    # Verify model_name fields are preserved\n    assert agent_info_dict[\"model_name\"] == \"Qwen/Qwen3-8B\"\n    assert agent_info_dict[\"business_logic_model_name\"] == \"Qwen/QwQ-32B\"\n\n\n@patch('backend.services.agent_service.tenant_config_manager')\n@patch('backend.services.agent_service.get_model_id_by_display_name')\n@patch('backend.services.agent_service.create_or_update_tool_by_tool_info')\n@patch('backend.services.agent_service.create_agent')\n@patch('backend.services.agent_service.query_all_tools')\n@pytest.mark.asyncio\nasync def test_import_agent_model_not_found_in_target_tenant(\n    mock_query_all_tools,\n    mock_create_agent,\n    mock_create_tool,\n    mock_get_model_id,\n    mock_tenant_config_manager\n):\n    \"\"\"\n    Test that import fails gracefully when the model doesn't exist in target tenant.\n    \"\"\"\n    # Setup\n    mock_query_all_tools.return_value = []\n\n    # Simulate model not found in target tenant\n    mock_get_model_id.return_value = None\n\n    # Mock the tenant config manager to return None (no quick config fallback)\n    mock_tenant_config_manager.get_model_config.return_value = None\n\n    agent_info = ExportAndImportAgentInfo(\n        agent_id=123,\n        name=\"missing_model_agent\",\n        display_name=\"Agent with Missing Model\",\n        description=\"Test missing model\",\n        business_description=\"Missing model test\",\n        max_steps=5,\n        provide_run_summary=False,\n        duty_prompt=\"Duty\",\n        constraint_prompt=\"Constraints\",\n        few_shots_prompt=\"Examples\",\n        enabled=True,\n        tools=[],\n        managed_agents=[],\n        model_id=10,\n        model_name=\"NonExistent/Model\",  # This model doesn't exist in target tenant\n        business_logic_model_id=None,\n        business_logic_model_name=None\n    )\n\n    # Execute\n    result = await import_agent_by_agent_id(\n        import_agent_info=agent_info,\n        tenant_id=\"target_tenant\",\n        user_id=\"test_user\"\n    )\n\n    # Assert - should still create agent but with None model_id\n    assert result is not None\n    mock_create_agent.assert_called_once()\n\n    call_kwargs = mock_create_agent.call_args[1]\n    agent_info_dict = call_kwargs[\"agent_info\"]\n\n    # model_id should be None since model wasn't found\n    assert agent_info_dict[\"model_id\"] is None\n    # But model_name should still be preserved\n    assert agent_info_dict[\"model_name\"] == \"NonExistent/Model\"\n\n\n@patch('backend.services.agent_service.get_model_id_by_display_name')\n@patch('backend.services.agent_service.create_or_update_tool_by_tool_info')\n@patch('backend.services.agent_service.create_agent')\n@patch('backend.services.agent_service.query_all_tools')\n@pytest.mark.asyncio\nasync def test_import_agent_all_model_fields_in_database(\n    mock_query_all_tools,\n    mock_create_agent,\n    mock_create_tool,\n    mock_get_model_id\n):\n    \"\"\"\n    Integration-style test to verify all model fields are correctly passed to the database.\n\n    This test ensures that after the fix, all four model-related fields are included:\n    - model_id\n    - model_name\n    - business_logic_model_id\n    - business_logic_model_name\n    \"\"\"\n    # Setup\n    mock_query_all_tools.return_value = []\n    mock_get_model_id.side_effect = [5, 4]\n\n    # Mock create_agent to return the agent info as it would be inserted\n    def mock_create_agent_impl(agent_info, tenant_id, user_id):\n        return {\n            \"agent_id\": 666,\n            **agent_info  # Simulate returning all fields that were passed in\n        }\n\n    mock_create_agent.side_effect = mock_create_agent_impl\n\n    agent_info = ExportAndImportAgentInfo(\n        agent_id=123,\n        name=\"complete_agent\",\n        display_name=\"Complete Agent\",\n        description=\"Agent with all fields\",\n        business_description=\"Complete test\",\n        max_steps=5,\n        provide_run_summary=True,\n        duty_prompt=\"Complete duty\",\n        constraint_prompt=\"Complete constraints\",\n        few_shots_prompt=\"Complete examples\",\n        enabled=True,\n        tools=[],\n        managed_agents=[],\n        model_id=10,\n        model_name=\"Qwen/Qwen3-8B\",\n        business_logic_model_id=9,\n        business_logic_model_name=\"Qwen/QwQ-32B\"\n    )\n\n    # Execute\n    result = await import_agent_by_agent_id(\n        import_agent_info=agent_info,\n        tenant_id=\"test_tenant\",\n        user_id=\"test_user\"\n    )\n\n    # Assert\n    assert result == 666\n\n    # Verify all four model fields were passed to create_agent\n    call_kwargs = mock_create_agent.call_args[1]\n    agent_info_dict = call_kwargs[\"agent_info\"]\n\n    # All four fields should be present and not None\n    assert \"model_id\" in agent_info_dict\n    assert \"model_name\" in agent_info_dict\n    assert \"business_logic_model_id\" in agent_info_dict\n    assert \"business_logic_model_name\" in agent_info_dict\n\n    assert agent_info_dict[\"model_id\"] == 5\n    assert agent_info_dict[\"model_name\"] == \"Qwen/Qwen3-8B\"\n    assert agent_info_dict[\"business_logic_model_id\"] == 4\n    assert agent_info_dict[\"business_logic_model_name\"] == \"Qwen/QwQ-32B\"\n\n    # Verify other standard fields\n    assert agent_info_dict[\"name\"] == \"complete_agent\"\n    assert agent_info_dict[\"display_name\"] == \"Complete Agent\"\n    assert agent_info_dict[\"description\"] == \"Agent with all fields\"\n    assert agent_info_dict[\"business_description\"] == \"Complete test\"\n    assert agent_info_dict[\"max_steps\"] == 5\n    assert agent_info_dict[\"provide_run_summary\"] is True\n    assert agent_info_dict[\"duty_prompt\"] == \"Complete duty\"\n    assert agent_info_dict[\"constraint_prompt\"] == \"Complete constraints\"\n    assert agent_info_dict[\"few_shots_prompt\"] == \"Complete examples\"\n    assert agent_info_dict[\"enabled\"] is True\n\n\n# =====================================================================\n# Additional tests for internal helper functions and import logic\n# =====================================================================\n\n\ndef test_normalize_language_key_variants():\n    \"\"\"_normalize_language_key should normalize various language inputs.\"\"\"\n    from consts.const import LANGUAGE as LANG\n\n    assert _normalize_language_key(\"zh-CN\") == LANG[\"ZH\"]\n    assert _normalize_language_key(\"ZH\") == LANG[\"ZH\"]\n    assert _normalize_language_key(\"en\") == LANG[\"EN\"]\n    assert _normalize_language_key(\"EN-us\") == LANG[\"EN\"]\n    # Fallback when language is None or empty\n    assert _normalize_language_key(\"\") == LANG[\"EN\"]\n    assert _normalize_language_key(None) == LANG[\"EN\"]\n\n\ndef test_render_prompt_template_success(monkeypatch):\n    \"\"\"_render_prompt_template should render a jinja2 template successfully.\"\"\"\n\n    class FakeTemplate:\n        def __init__(self, template_str):\n            self.template_str = template_str\n\n        def render(self, **context):\n            # Very small fake renderer for test purposes\n            return self.template_str.format(**context)\n\n    monkeypatch.setattr(\n        agent_service, \"Template\", FakeTemplate, raising=False\n    )\n\n    tpl = \"Hello {name}\"\n    rendered = _render_prompt_template(tpl, name=\"World\")\n    assert rendered == \"Hello World\"\n\n\ndef test_render_prompt_template_on_error_returns_original(monkeypatch):\n    \"\"\"When Template.render fails, _render_prompt_template should return original template.\"\"\"\n\n    class FailingTemplate:\n        def __init__(self, template_str):\n            self.template_str = template_str\n\n        def render(self, **context):\n            raise ValueError(\"render failed\")\n\n    monkeypatch.setattr(\n        agent_service, \"Template\", FailingTemplate, raising=False\n    )\n\n    tpl = \"Broken {template\"\n    # Should not raise; should return original string\n    assert _render_prompt_template(tpl, name=\"x\") == tpl\n\n\ndef test_format_existing_values_for_languages():\n    \"\"\"_format_existing_values should format values and handle empty cases.\"\"\"\n    from consts.const import LANGUAGE as LANG\n\n    # Non-empty set\n    values = {\"b\", \"a\"}\n    formatted = _format_existing_values(values, LANG[\"EN\"])\n    assert formatted in {\"a, b\", \"b, a\"}  # order not guaranteed\n\n    # Empty set, English\n    assert _format_existing_values(set(), LANG[\"EN\"]) == \"None\"\n    # Empty set, Chinese\n    assert _format_existing_values(set(), LANG[\"ZH\"]).startswith(\"无\")\n\n\ndef test_check_agent_value_duplicate_with_and_without_exclude():\n    \"\"\"_check_agent_value_duplicate should respect exclude_agent_id and cache.\"\"\"\n    agents = [\n        {\"agent_id\": 1, \"name\": \"agent_one\"},\n        {\"agent_id\": 2, \"name\": \"agent_two\"},\n    ]\n\n    # Duplicate found\n    assert agent_service._check_agent_value_duplicate(\n        \"name\", \"agent_one\", tenant_id=\"t\", agents_cache=agents\n    )\n    # No duplicate\n    assert not agent_service._check_agent_value_duplicate(\n        \"name\", \"agent_three\", tenant_id=\"t\", agents_cache=agents\n    )\n    # Exclude matching id should skip that record\n    assert not agent_service._check_agent_value_duplicate(\n        \"name\", \"agent_one\", tenant_id=\"t\", exclude_agent_id=1, agents_cache=agents\n    )\n\n\n@patch('backend.services.agent_service.query_all_agent_info_by_tenant_id')\ndef test_check_agent_value_duplicate_empty_value(mock_query_all):\n    \"\"\"_check_agent_value_duplicate should return False when value is empty.\"\"\"\n    # Test empty string\n    assert not agent_service._check_agent_value_duplicate(\n        \"name\", \"\", tenant_id=\"t\", agents_cache=[]\n    )\n    # Test None value\n    assert not agent_service._check_agent_value_duplicate(\n        \"name\", None, tenant_id=\"t\", agents_cache=[]\n    )\n    # Should not call query_all_agent_info_by_tenant_id when value is empty\n    mock_query_all.assert_not_called()\n\n\n@patch('backend.services.agent_service.query_all_agent_info_by_tenant_id')\ndef test_check_agent_value_duplicate_cache_none(mock_query_all):\n    \"\"\"_check_agent_value_duplicate should query database when agents_cache is None.\"\"\"\n    mock_query_all.return_value = [\n        {\"agent_id\": 1, \"name\": \"agent_one\"},\n        {\"agent_id\": 2, \"name\": \"agent_two\"},\n    ]\n\n    # Should query database when cache is None\n    assert agent_service._check_agent_value_duplicate(\n        \"name\", \"agent_one\", tenant_id=\"t\", agents_cache=None\n    )\n    mock_query_all.assert_called_once_with(\"t\")\n\n    # Reset mock\n    mock_query_all.reset_mock()\n    mock_query_all.return_value = [\n        {\"agent_id\": 1, \"name\": \"agent_one\"},\n        {\"agent_id\": 2, \"name\": \"agent_two\"},\n    ]\n\n    # Should query database when cache is None and no duplicate found\n    assert not agent_service._check_agent_value_duplicate(\n        \"name\", \"agent_three\", tenant_id=\"t\", agents_cache=None\n    )\n    mock_query_all.assert_called_once_with(\"t\")\n\n\ndef test_generate_unique_value_with_suffix_success():\n    \"\"\"_generate_unique_value_with_suffix should find first available suffix.\"\"\"\n\n    taken = {\"base_1\"}\n\n    def dup_check(candidate, **_):\n        return candidate in taken\n\n    result = _generate_unique_value_with_suffix(\n        \"base\",\n        tenant_id=\"tenant\",\n        duplicate_check_fn=dup_check,\n        agents_cache=[],\n        max_suffix_attempts=5,\n    )\n    # base_1 is taken, so should start from base_2\n    assert result == \"base_2\"\n\n\ndef test_generate_unique_value_with_suffix_exhausts_attempts():\n    \"\"\"When all candidates are duplicates, _generate_unique_value_with_suffix should raise.\"\"\"\n\n    def always_duplicate(*args, **kwargs):\n        return True\n\n    with pytest.raises(ValueError, match=\"Failed to generate unique value\"):\n        _generate_unique_value_with_suffix(\n            \"dup\",\n            tenant_id=\"tenant\",\n            duplicate_check_fn=always_duplicate,\n            agents_cache=[],\n            max_suffix_attempts=3,\n        )\n\n\ndef test_generate_unique_agent_and_display_name_wrappers(monkeypatch):\n    \"\"\"Wrapper helpers should delegate to _generate_unique_value_with_suffix.\"\"\"\n    calls = []\n\n    def fake_generate(base_value, tenant_id, duplicate_check_fn, agents_cache, exclude_agent_id=None, max_suffix_attempts=100):\n        calls.append(\n            (base_value, tenant_id, duplicate_check_fn, tuple(agents_cache), exclude_agent_id, max_suffix_attempts)\n        )\n        return f\"{base_value}_unique\"\n\n    monkeypatch.setattr(\n        agent_service, \"_generate_unique_value_with_suffix\", fake_generate, raising=False\n    )\n\n    name = _generate_unique_agent_name_with_suffix(\n        \"agent\", tenant_id=\"t\", agents_cache=[{\"agent_id\": 1}], exclude_agent_id=1\n    )\n    display = _generate_unique_display_name_with_suffix(\n        \"Agent Display\", tenant_id=\"t2\", agents_cache=[{\"agent_id\": 2}]\n    )\n\n    assert name == \"agent_unique\"\n    assert display == \"Agent Display_unique\"\n    # Ensure both calls delegated correctly\n    assert len(calls) == 2\n    assert calls[0][0] == \"agent\"\n    assert calls[1][0] == \"Agent Display\"\n\n\ndef test_regenerate_agent_value_with_llm_success(monkeypatch):\n    \"\"\"_regenerate_agent_value_with_llm should return first non-duplicate LLM value.\"\"\"\n\n    # Avoid dependency on real prompt templates\n    monkeypatch.setattr(\n        agent_service,\n        \"get_prompt_generate_prompt_template\",\n        lambda lang: {},\n        raising=False,\n    )\n\n    # Provide a fake LLM call that returns a new unique value\n    def fake_call_llm(model_id, user_prompt, system_prompt, callback, tenant_id):\n        assert model_id == 1\n        assert tenant_id == \"tenant\"\n        # Callback is not used in this helper, but should be passed through\n        return \"new_name\\nextra\"\n\n    # Ensure the dynamic import `from services.prompt_service import ...` in\n    # `_regenerate_agent_value_with_llm` can succeed by registering a fake\n    # module in `sys.modules` with the expected attribute.\n    monkeypatch.setattr(\n        agent_service,\n        \"call_llm_for_system_prompt\",\n        fake_call_llm,\n        raising=False,\n    )\n\n    result = _regenerate_agent_value_with_llm(\n        original_value=\"old\",\n        existing_values=[\"existing\"],\n        task_description=\"task\",\n        model_id=1,\n        tenant_id=\"tenant\",\n        language=\"en\",\n        system_prompt_key=\"SYS_KEY\",\n        user_prompt_key=\"USER_KEY\",\n        default_system_prompt=\"sys\",\n        default_user_prompt_builder=lambda ctx: \"user\",\n        fallback_fn=lambda base: f\"fallback_{base}\",\n    )\n    assert result == \"new_name\"\n\n\ndef test_regenerate_agent_value_with_llm_fallback_on_error(monkeypatch):\n    \"\"\"When LLM keeps failing, _regenerate_agent_value_with_llm should use fallback.\"\"\"\n\n    monkeypatch.setattr(\n        agent_service,\n        \"get_prompt_generate_prompt_template\",\n        lambda lang: {},\n        raising=False,\n    )\n\n    def failing_llm(*args, **kwargs):\n        raise RuntimeError(\"llm failed\")\n\n    monkeypatch.setattr(\n        agent_service,\n        \"call_llm_for_system_prompt\",\n        failing_llm,\n        raising=False,\n    )\n\n    used = {}\n\n    def fallback(base):\n        used[\"called\"] = True\n        return f\"fb_{base}\"\n\n    result = _regenerate_agent_value_with_llm(\n        original_value=\"orig\",\n        existing_values=[\"a\", \"b\"],\n        task_description=\"task\",\n        model_id=1,\n        tenant_id=\"tenant\",\n        language=\"en\",\n        system_prompt_key=\"SYS_KEY\",\n        user_prompt_key=\"USER_KEY\",\n        default_system_prompt=\"sys\",\n        default_user_prompt_builder=lambda ctx: \"user\",\n        fallback_fn=fallback,\n    )\n\n    assert result == \"fb_orig\"\n    assert used.get(\"called\") is True\n\n\ndef test_regenerate_agent_value_with_llm_empty_system_prompt(monkeypatch):\n    \"\"\"_regenerate_agent_value_with_llm should use default_system_prompt when system_prompt is empty.\"\"\"\n\n    monkeypatch.setattr(\n        agent_service,\n        \"get_prompt_generate_prompt_template\",\n        lambda lang: {},\n        raising=False,\n    )\n    monkeypatch.setattr(\n        agent_service,\n        \"_render_prompt_template\",\n        lambda template_str, **kwargs: \"\",  # Return empty string\n        raising=False,\n    )\n\n    def fake_call_llm(model_id, user_prompt, system_prompt, callback, tenant_id):\n        # Verify that default_system_prompt was used\n        assert system_prompt == \"default_system\"\n        return \"new_name\"\n\n    monkeypatch.setattr(\n        agent_service,\n        \"call_llm_for_system_prompt\",\n        fake_call_llm,\n        raising=False,\n    )\n\n    result = _regenerate_agent_value_with_llm(\n        original_value=\"old\",\n        existing_values=[\"existing\"],\n        task_description=\"task\",\n        model_id=1,\n        tenant_id=\"tenant\",\n        language=\"en\",\n        system_prompt_key=\"SYS_KEY\",\n        user_prompt_key=\"USER_KEY\",\n        default_system_prompt=\"default_system\",\n        default_user_prompt_builder=lambda ctx: \"user\",\n        fallback_fn=lambda base: f\"fallback_{base}\",\n    )\n    assert result == \"new_name\"\n\n\ndef test_regenerate_agent_value_with_llm_empty_user_prompt(monkeypatch):\n    \"\"\"_regenerate_agent_value_with_llm should use default_user_prompt_builder when user_prompt is empty (line 302).\"\"\"\n\n    monkeypatch.setattr(\n        agent_service,\n        \"get_prompt_generate_prompt_template\",\n        lambda lang: {},\n        raising=False,\n    )\n\n    call_count = {\"render_count\": 0}\n\n    def mock_render(template_str, **kwargs):\n        call_count[\"render_count\"] += 1\n        # First call is for system_prompt, return non-empty\n        if call_count[\"render_count\"] == 1:\n            return \"system_prompt\"\n        # Second call is for user_prompt, return empty string to trigger line 302\n        return \"\"\n\n    monkeypatch.setattr(\n        agent_service,\n        \"_render_prompt_template\",\n        mock_render,\n        raising=False,\n    )\n\n    builder_called = {\"called\": False}\n\n    def default_user_prompt_builder(ctx):\n        builder_called[\"called\"] = True\n        # Verify context is passed correctly\n        assert \"task_description\" in ctx\n        assert \"original_value\" in ctx\n        assert \"existing_values\" in ctx\n        return \"default_user\"\n\n    def fake_call_llm(model_id, user_prompt, system_prompt, callback, tenant_id):\n        # Verify that default_user_prompt_builder was used (line 302-303)\n        assert user_prompt == \"default_user\"\n        assert builder_called[\"called\"], \"default_user_prompt_builder should have been called\"\n        return \"new_name\"\n\n    monkeypatch.setattr(\n        agent_service,\n        \"call_llm_for_system_prompt\",\n        fake_call_llm,\n        raising=False,\n    )\n\n    result = _regenerate_agent_value_with_llm(\n        original_value=\"old\",\n        existing_values=[\"existing\"],\n        task_description=\"task\",\n        model_id=1,\n        tenant_id=\"tenant\",\n        language=\"en\",\n        system_prompt_key=\"SYS_KEY\",\n        user_prompt_key=\"USER_KEY\",\n        default_system_prompt=\"system_prompt\",\n        default_user_prompt_builder=default_user_prompt_builder,\n        fallback_fn=lambda base: f\"fallback_{base}\",\n    )\n    assert result == \"new_name\"\n    assert builder_called[\"called\"], \"default_user_prompt_builder should have been called to cover line 302\"\n\n\ndef test_regenerate_agent_value_with_llm_duplicate_candidate(monkeypatch):\n    \"\"\"_regenerate_agent_value_with_llm should raise ValueError when generated candidate is duplicate.\"\"\"\n\n    monkeypatch.setattr(\n        agent_service,\n        \"get_prompt_generate_prompt_template\",\n        lambda lang: {},\n        raising=False,\n    )\n\n    attempt_count = {\"count\": 0}\n\n    def fake_call_llm(model_id, user_prompt, system_prompt, callback, tenant_id):\n        attempt_count[\"count\"] += 1\n        # Return a value that exists in existing_values\n        if attempt_count[\"count\"] == 1:\n            return \"existing\"  # This is a duplicate\n        # On retry, return a unique value\n        return \"new_unique_name\"\n\n    monkeypatch.setattr(\n        agent_service,\n        \"call_llm_for_system_prompt\",\n        fake_call_llm,\n        raising=False,\n    )\n\n    result = _regenerate_agent_value_with_llm(\n        original_value=\"old\",\n        existing_values=[\"existing\", \"another\"],\n        task_description=\"task\",\n        model_id=1,\n        tenant_id=\"tenant\",\n        language=\"en\",\n        system_prompt_key=\"SYS_KEY\",\n        user_prompt_key=\"USER_KEY\",\n        default_system_prompt=\"sys\",\n        default_user_prompt_builder=lambda ctx: \"user\",\n        fallback_fn=lambda base: f\"fallback_{base}\",\n    )\n    # Should retry and eventually return a unique value\n    assert result == \"new_unique_name\"\n    assert attempt_count[\"count\"] == 2\n\n\ndef test_regenerate_agent_name_with_llm(monkeypatch):\n    \"\"\"_regenerate_agent_name_with_llm should call _regenerate_agent_value_with_llm with correct parameters.\"\"\"\n\n    monkeypatch.setattr(\n        agent_service,\n        \"get_prompt_generate_prompt_template\",\n        lambda lang: {},\n        raising=False,\n    )\n\n    def fake_call_llm(model_id, user_prompt, system_prompt, callback, tenant_id):\n        return \"new_agent_name\"\n\n    monkeypatch.setattr(\n        agent_service,\n        \"call_llm_for_system_prompt\",\n        fake_call_llm,\n        raising=False,\n    )\n\n    result = agent_service._regenerate_agent_name_with_llm(\n        original_name=\"old_name\",\n        existing_names=[\"existing1\", \"existing2\"],\n        task_description=\"task desc\",\n        model_id=1,\n        tenant_id=\"tenant\",\n        language=\"en\",\n        agents_cache=[],\n        exclude_agent_id=None\n    )\n\n    assert result == \"new_agent_name\"\n\n\ndef test_regenerate_agent_display_name_with_llm(monkeypatch):\n    \"\"\"_regenerate_agent_display_name_with_llm should call _regenerate_agent_value_with_llm with correct parameters.\"\"\"\n\n    monkeypatch.setattr(\n        agent_service,\n        \"get_prompt_generate_prompt_template\",\n        lambda lang: {},\n        raising=False,\n    )\n\n    def fake_call_llm(model_id, user_prompt, system_prompt, callback, tenant_id):\n        return \"New Display Name\"\n\n    monkeypatch.setattr(\n        agent_service,\n        \"call_llm_for_system_prompt\",\n        fake_call_llm,\n        raising=False,\n    )\n\n    result = agent_service._regenerate_agent_display_name_with_llm(\n        original_display_name=\"Old Display Name\",\n        existing_display_names=[\"Display1\", \"Display2\"],\n        task_description=\"task desc\",\n        model_id=1,\n        tenant_id=\"tenant\",\n        language=\"en\",\n        agents_cache=[],\n        exclude_agent_id=None\n    )\n\n    assert result == \"New Display Name\"\n\n\n@pytest.mark.asyncio\nasync def test_import_agent_impl_dfs_import_order(monkeypatch):\n    \"\"\"\n    import_agent_impl should handle DFS ordering and establish relationships correctly.\n    This covers the branch where managed agents are not yet imported (agent_stack.extend path).\n    \"\"\"\n    # Mock user and tenant\n    monkeypatch.setattr(\n        \"backend.services.agent_service.get_current_user_info\",\n        lambda authorization: (\"user1\", \"tenant1\", \"en\"),\n        raising=False,\n    )\n\n    # Skip MCP handling by providing no mcp_info and making update_tool_list a no-op\n    from consts.model import ExportAndImportAgentInfo, ExportAndImportDataFormat\n\n    root_agent = ExportAndImportAgentInfo(\n        agent_id=1,\n        name=\"root\",\n        display_name=\"Root\",\n        description=\"root\",\n        business_description=\"root\",\n        max_steps=5,\n        provide_run_summary=False,\n        duty_prompt=None,\n        constraint_prompt=None,\n        few_shots_prompt=None,\n        enabled=True,\n        tools=[],\n        managed_agents=[2],\n    )\n    child_agent = ExportAndImportAgentInfo(\n        agent_id=2,\n        name=\"child\",\n        display_name=\"Child\",\n        description=\"child\",\n        business_description=\"child\",\n        max_steps=5,\n        provide_run_summary=False,\n        duty_prompt=None,\n        constraint_prompt=None,\n        few_shots_prompt=None,\n        enabled=True,\n        tools=[],\n        managed_agents=[],\n    )\n\n    export_data = ExportAndImportDataFormat(\n        agent_id=1,\n        agent_info={\"1\": root_agent, \"2\": child_agent},\n        mcp_info=[],\n    )\n\n    # Track import order and relationship creation\n    imported_ids = []\n\n    async def fake_import_agent_by_agent_id(import_agent_info, tenant_id, user_id, skip_duplicate_regeneration=False):\n        # Assign synthetic new IDs based on source id\n        new_id = 100 + import_agent_info.agent_id\n        imported_ids.append(import_agent_info.agent_id)\n        return new_id\n\n    relationships = []\n\n    def fake_insert_related_agent(parent_agent_id, child_agent_id, tenant_id, user_id):\n        relationships.append((parent_agent_id, child_agent_id, tenant_id, user_id))\n\n    async def fake_update_tool_list(tenant_id, user_id):\n        return None\n\n    monkeypatch.setattr(\n        \"backend.services.agent_service.import_agent_by_agent_id\",\n        fake_import_agent_by_agent_id,\n        raising=False,\n    )\n    monkeypatch.setattr(\n        \"backend.services.agent_service.insert_related_agent\",\n        fake_insert_related_agent,\n        raising=False,\n    )\n    monkeypatch.setattr(\n        \"backend.services.agent_service.update_tool_list\",\n        fake_update_tool_list,\n        raising=False,\n    )\n\n    # Execute\n    await import_agent_impl(export_data, authorization=\"Bearer token\", force_import=False)\n\n    # Child (2) must be imported before parent (1)\n    assert imported_ids == [2, 1]\n    # Relationship should be created between new IDs 101 (child) and 100 (parent)\n    assert relationships == [(100 + 1, 100 + 2, \"tenant1\", \"user1\")]\n\n\n# =====================================================================\n# Tests for batch agent name conflict and regeneration\n# =====================================================================\n\n\n@pytest.mark.asyncio\nasync def test_check_agent_name_conflict_batch_impl_detects_conflicts(monkeypatch):\n    monkeypatch.setattr(\n        \"backend.services.agent_service.get_current_user_info\",\n        lambda authorization: (\"user-x\", \"tenant-x\", \"en\"),\n        raising=False,\n    )\n    existing_agents = [\n        {\"agent_id\": 10, \"name\": \"dup_name\", \"display_name\": \"Dup Display\"},\n        {\"agent_id\": 11, \"name\": \"unique\", \"display_name\": \"Unique\"},\n    ]\n    monkeypatch.setattr(\n        \"backend.services.agent_service.query_all_agent_info_by_tenant_id\",\n        lambda tenant_id: existing_agents,\n        raising=False,\n    )\n\n    from consts.model import AgentNameBatchCheckItem, AgentNameBatchCheckRequest\n\n    request = AgentNameBatchCheckRequest(\n        items=[\n            AgentNameBatchCheckItem(name=\"dup_name\", display_name=\"Another\"),\n            AgentNameBatchCheckItem(name=\"\", display_name=None),\n        ]\n    )\n\n    result = await agent_service.check_agent_name_conflict_batch_impl(\n        request, authorization=\"Bearer token\"\n    )\n\n    assert result[0][\"name_conflict\"] is True\n    assert result[0][\"display_name_conflict\"] is False\n    assert result[0][\"conflict_agents\"] == [\n        {\"name\": \"dup_name\", \"display_name\": \"Dup Display\"}\n    ]\n    assert result[1][\"name_conflict\"] is False\n    assert result[1][\"display_name_conflict\"] is False\n    assert result[1][\"conflict_agents\"] == []\n\n\n@pytest.mark.asyncio\nasync def test_check_agent_name_conflict_batch_impl_display_conflict(monkeypatch):\n    monkeypatch.setattr(\n        \"backend.services.agent_service.get_current_user_info\",\n        lambda authorization: (\"user-x\", \"tenant-x\", \"en\"),\n        raising=False,\n    )\n    existing_agents = [\n        {\"agent_id\": 3, \"name\": \"alpha\", \"display_name\": \"Shown\"},\n    ]\n    monkeypatch.setattr(\n        \"backend.services.agent_service.query_all_agent_info_by_tenant_id\",\n        lambda tenant_id: existing_agents,\n        raising=False,\n    )\n\n    request = AgentNameBatchCheckRequest(\n        items=[AgentNameBatchCheckItem(name=\"beta\", display_name=\"Shown\")]\n    )\n\n    result = await agent_service.check_agent_name_conflict_batch_impl(\n        request, authorization=\"Bearer token\"\n    )\n\n    assert result[0][\"name_conflict\"] is False\n    assert result[0][\"display_name_conflict\"] is True\n    assert result[0][\"conflict_agents\"] == [\n        {\"name\": \"alpha\", \"display_name\": \"Shown\"}\n    ]\n\n\n@pytest.mark.asyncio\nasync def test_check_agent_name_conflict_batch_impl_skips_same_agent(monkeypatch):\n    monkeypatch.setattr(\n        \"backend.services.agent_service.get_current_user_info\",\n        lambda authorization: (\"user-x\", \"tenant-x\", \"en\"),\n        raising=False,\n    )\n    existing_agents = [\n        {\"agent_id\": 7, \"name\": \"self\", \"display_name\": \"Self Display\"},\n    ]\n    monkeypatch.setattr(\n        \"backend.services.agent_service.query_all_agent_info_by_tenant_id\",\n        lambda tenant_id: existing_agents,\n        raising=False,\n    )\n\n    request = AgentNameBatchCheckRequest(\n        items=[\n            AgentNameBatchCheckItem(\n                agent_id=7, name=\"self\", display_name=\"Self Display\"\n            )\n        ]\n    )\n\n    result = await agent_service.check_agent_name_conflict_batch_impl(\n        request, authorization=\"Bearer token\"\n    )\n\n    assert result[0][\"name_conflict\"] is False\n    assert result[0][\"display_name_conflict\"] is False\n    assert result[0][\"conflict_agents\"] == []\n\n\n@pytest.mark.asyncio\nasync def test_regenerate_agent_name_batch_impl_uses_llm(monkeypatch):\n    monkeypatch.setattr(\n        \"backend.services.agent_service.get_current_user_info\",\n        lambda authorization: (\"user-x\", \"tenant-x\", \"en\"),\n        raising=False,\n    )\n    monkeypatch.setattr(\n        \"backend.services.agent_service.query_all_agent_info_by_tenant_id\",\n        lambda tenant_id: [{\"agent_id\": 2, \"name\": \"dup_name\", \"display_name\": \"Dup\"}],\n        raising=False,\n    )\n    monkeypatch.setattr(\n        \"backend.services.agent_service.tenant_config_manager.get_model_config\",\n        lambda key, tenant_id: {\"model_id\": \"model-1\", \"display_name\": \"LLM\"},\n        raising=False,\n    )\n\n    async def fake_to_thread(fn, *args, **kwargs):\n        return fn(*args, **kwargs)\n\n    monkeypatch.setattr(\"asyncio.to_thread\", fake_to_thread, raising=False)\n    monkeypatch.setattr(\n        \"backend.services.agent_service._regenerate_agent_name_with_llm\",\n        lambda **kwargs: \"regenerated_name\",\n        raising=False,\n    )\n    monkeypatch.setattr(\n        \"backend.services.agent_service._regenerate_agent_display_name_with_llm\",\n        lambda **kwargs: \"Regenerated Display\",\n        raising=False,\n    )\n\n\n\n    request = AgentNameBatchRegenerateRequest(\n        items=[\n            AgentNameBatchRegenerateItem(\n                agent_id=1,\n                name=\"dup_name\",\n                display_name=\"Dup\",\n                task_description=\"desc\",\n            )\n        ]\n    )\n\n    result = await agent_service.regenerate_agent_name_batch_impl(\n        request, authorization=\"Bearer token\"\n    )\n\n    assert result == [{\"name\": \"regenerated_name\", \"display_name\": \"Regenerated Display\"}]\n\n\n@pytest.mark.asyncio\nasync def test_regenerate_agent_name_batch_impl_no_model(monkeypatch):\n    monkeypatch.setattr(\n        \"backend.services.agent_service.get_current_user_info\",\n        lambda authorization: (\"user-x\", \"tenant-x\", \"en\"),\n        raising=False,\n    )\n    monkeypatch.setattr(\n        \"backend.services.agent_service.query_all_agent_info_by_tenant_id\",\n        lambda tenant_id: [],\n        raising=False,\n    )\n    monkeypatch.setattr(\n        \"backend.services.agent_service.tenant_config_manager.get_model_config\",\n        lambda key, tenant_id: None,\n        raising=False,\n    )\n\n    from consts.model import AgentNameBatchRegenerateItem, AgentNameBatchRegenerateRequest\n\n    request = AgentNameBatchRegenerateRequest(\n        items=[AgentNameBatchRegenerateItem(agent_id=1, name=\"dup\", display_name=\"Dup\")]\n    )\n\n    with pytest.raises(ValueError):\n        await agent_service.regenerate_agent_name_batch_impl(\n            request, authorization=\"Bearer token\"\n        )\n\n\n@pytest.mark.asyncio\nasync def test_regenerate_agent_name_batch_impl_llm_failure_fallback(monkeypatch):\n    monkeypatch.setattr(\n        \"backend.services.agent_service.get_current_user_info\",\n        lambda authorization: (\"user-x\", \"tenant-x\", \"en\"),\n        raising=False,\n    )\n    # existing agent ensures duplicate detection\n    monkeypatch.setattr(\n        \"backend.services.agent_service.query_all_agent_info_by_tenant_id\",\n        lambda tenant_id: [{\"agent_id\": 2, \"name\": \"dup\", \"display_name\": \"Dup\"}],\n        raising=False,\n    )\n    monkeypatch.setattr(\n        \"backend.services.agent_service.tenant_config_manager.get_model_config\",\n        lambda key, tenant_id: {\"model_id\": \"model-1\", \"display_name\": \"LLM\"},\n        raising=False,\n    )\n\n    async def run_in_thread(fn, *args, **kwargs):\n        return fn(*args, **kwargs)\n\n    monkeypatch.setattr(\"asyncio.to_thread\", run_in_thread, raising=False)\n    monkeypatch.setattr(\n        \"backend.services.agent_service._regenerate_agent_name_with_llm\",\n        lambda **kwargs: (_ for _ in ()).throw(Exception(\"llm-fail\")),\n        raising=False,\n    )\n    monkeypatch.setattr(\n        \"backend.services.agent_service._regenerate_agent_display_name_with_llm\",\n        lambda **kwargs: (_ for _ in ()).throw(Exception(\"llm-fail\")),\n        raising=False,\n    )\n    monkeypatch.setattr(\n        \"backend.services.agent_service._generate_unique_agent_name_with_suffix\",\n        lambda base_value, **kwargs: f\"{base_value}_fallback\",\n        raising=False,\n    )\n    monkeypatch.setattr(\n        \"backend.services.agent_service._generate_unique_display_name_with_suffix\",\n        lambda base_value, **kwargs: f\"{base_value}_fallback\",\n        raising=False,\n    )\n\n    request = AgentNameBatchRegenerateRequest(\n        items=[\n            AgentNameBatchRegenerateItem(\n                agent_id=1,\n                name=\"dup\",\n                display_name=\"Dup\",\n                task_description=\"desc\",\n            )\n        ]\n    )\n\n    result = await agent_service.regenerate_agent_name_batch_impl(\n        request, authorization=\"Bearer token\"\n    )\n\n    assert result == [{\"name\": \"dup_fallback\", \"display_name\": \"Dup_fallback\"}]\n\n\n# =====================================================================\n# Tests for _resolve_model_with_fallback helper function\n# =====================================================================\n\n\nclass TestResolveModelWithFallback:\n    \"\"\"Test suite for the _resolve_model_with_fallback helper function.\"\"\"\n\n    @pytest.mark.asyncio\n    @patch('backend.services.agent_service.get_model_id_by_display_name')\n    @patch('backend.services.agent_service.tenant_config_manager.get_model_config')\n    async def test_resolve_model_success_found_in_tenant(\n        self,\n        mock_get_model_config,\n        mock_get_model_id,\n    ):\n        \"\"\"Test successful model resolution when model exists in tenant.\"\"\"\n        # Arrange\n        mock_get_model_id.return_value = \"resolved_model_123\"\n\n        # Import the function\n        from backend.services.agent_service import _resolve_model_with_fallback\n\n        # Act\n        result = _resolve_model_with_fallback(\n            model_display_name=\"GPT-4\",\n            exported_model_id=\"old_model_456\",\n            model_label=\"Model\",\n            tenant_id=\"tenant_001\"\n        )\n\n        # Assert\n        assert result == \"resolved_model_123\"\n        mock_get_model_id.assert_called_once_with(\"GPT-4\", \"tenant_001\")\n        mock_get_model_config.assert_not_called()\n\n    @pytest.mark.asyncio\n    @patch('backend.services.agent_service.get_model_id_by_display_name')\n    @patch('backend.services.agent_service.tenant_config_manager.get_model_config')\n    async def test_resolve_model_fallback_to_quick_config(\n        self,\n        mock_get_model_config,\n        mock_get_model_id,\n    ):\n        \"\"\"Test fallback to quick config LLM model when model not found in tenant.\"\"\"\n        # Arrange\n        mock_get_model_id.return_value = None  # Model not found in tenant\n        mock_get_model_config.return_value = {\n            \"model_id\": \"quick_config_model_789\",\n            \"display_name\": \"Default LLM Model\"\n        }\n\n        from backend.services.agent_service import _resolve_model_with_fallback\n\n        # Act\n        result = _resolve_model_with_fallback(\n            model_display_name=\"NonExistentModel\",\n            exported_model_id=\"exported_999\",\n            model_label=\"Model\",\n            tenant_id=\"tenant_002\"\n        )\n\n        # Assert\n        assert result == \"quick_config_model_789\"\n        mock_get_model_id.assert_called_once_with(\"NonExistentModel\", \"tenant_002\")\n        mock_get_model_config.assert_called_once()\n\n    @pytest.mark.asyncio\n    @patch('backend.services.agent_service.get_model_id_by_display_name')\n    @patch('backend.services.agent_service.tenant_config_manager.get_model_config')\n    async def test_resolve_model_no_fallback_available(\n        self,\n        mock_get_model_config,\n        mock_get_model_id,\n    ):\n        \"\"\"Test when neither tenant model nor quick config model is available.\"\"\"\n        # Arrange\n        mock_get_model_id.return_value = None\n        mock_get_model_config.return_value = None  # No quick config model\n\n        from backend.services.agent_service import _resolve_model_with_fallback\n\n        # Act\n        result = _resolve_model_with_fallback(\n            model_display_name=\"NonExistentModel\",\n            exported_model_id=\"exported_999\",\n            model_label=\"Model\",\n            tenant_id=\"tenant_003\"\n        )\n\n        # Assert\n        assert result is None\n        mock_get_model_id.assert_called_once_with(\"NonExistentModel\", \"tenant_003\")\n        mock_get_model_config.assert_called_once()\n\n    @pytest.mark.asyncio\n    @patch('backend.services.agent_service.get_model_id_by_display_name')\n    @patch('backend.services.agent_service.tenant_config_manager.get_model_config')\n    async def test_resolve_model_none_model_name(\n        self,\n        mock_get_model_config,\n        mock_get_model_id,\n    ):\n        \"\"\"Test when model_name is None.\"\"\"\n        # Arrange\n        from backend.services.agent_service import _resolve_model_with_fallback\n\n        # Act\n        result = _resolve_model_with_fallback(\n            model_display_name=None,\n            exported_model_id=\"exported_123\",\n            model_label=\"Model\",\n            tenant_id=\"tenant_004\"\n        )\n\n        # Assert\n        assert result is None\n        mock_get_model_id.assert_not_called()\n        mock_get_model_config.assert_not_called()\n\n    @pytest.mark.asyncio\n    @patch('backend.services.agent_service.get_model_id_by_display_name')\n    @patch('backend.services.agent_service.tenant_config_manager.get_model_config')\n    async def test_resolve_model_empty_model_name(\n        self,\n        mock_get_model_config,\n        mock_get_model_id,\n    ):\n        \"\"\"Test when model_name is an empty string.\"\"\"\n        # Arrange\n        from backend.services.agent_service import _resolve_model_with_fallback\n\n        # Act\n        result = _resolve_model_with_fallback(\n            model_display_name=\"\",\n            exported_model_id=\"exported_456\",\n            model_label=\"Model\",\n            tenant_id=\"tenant_005\"\n        )\n\n        # Assert\n        assert result is None\n        mock_get_model_id.assert_not_called()\n        mock_get_model_config.assert_not_called()\n\n    @pytest.mark.asyncio\n    @patch('backend.services.agent_service.get_model_id_by_display_name')\n    @patch('backend.services.agent_service.tenant_config_manager.get_model_config')\n    async def test_resolve_business_logic_model_success(\n        self,\n        mock_get_model_config,\n        mock_get_model_id,\n    ):\n        \"\"\"Test successful resolution of business logic model.\"\"\"\n        # Arrange\n        mock_get_model_id.return_value = \"business_model_555\"\n\n        from backend.services.agent_service import _resolve_model_with_fallback\n\n        # Act\n        result = _resolve_model_with_fallback(\n            model_display_name=\"Qwen/QwQ-32B\",\n            exported_model_id=\"old_business_model_777\",\n            model_label=\"Business logic model\",\n            tenant_id=\"tenant_006\"\n        )\n\n        # Assert\n        assert result == \"business_model_555\"\n        mock_get_model_id.assert_called_once_with(\"Qwen/QwQ-32B\", \"tenant_006\")\n        mock_get_model_config.assert_not_called()\n\n    @pytest.mark.asyncio\n    @patch('backend.services.agent_service.get_model_id_by_display_name')\n    @patch('backend.services.agent_service.tenant_config_manager.get_model_config')\n    async def test_resolve_model_quick_config_no_model_id(\n        self,\n        mock_get_model_config,\n        mock_get_model_id,\n    ):\n        \"\"\"Test when quick config exists but has no model_id.\"\"\"\n        # Arrange\n        mock_get_model_id.return_value = None\n        mock_get_model_config.return_value = {\n            \"display_name\": \"Default Model\",\n            # No model_id field\n        }\n\n        from backend.services.agent_service import _resolve_model_with_fallback\n\n        # Act\n        result = _resolve_model_with_fallback(\n            model_display_name=\"SomeModel\",\n            exported_model_id=\"exported_888\",\n            model_label=\"Model\",\n            tenant_id=\"tenant_007\"\n        )\n\n        # Assert\n        assert result is None  # Should return None when model_id is missing\n        mock_get_model_id.assert_called_once_with(\"SomeModel\", \"tenant_007\")\n        mock_get_model_config.assert_called_once()\n\n    @pytest.mark.asyncio\n    @patch('backend.services.agent_service.get_model_id_by_display_name')\n    @patch('backend.services.agent_service.tenant_config_manager.get_model_config')\n    async def test_resolve_model_with_various_labels(\n        self,\n        mock_get_model_config,\n        mock_get_model_id,\n    ):\n        \"\"\"Test that different model_labels are handled correctly.\"\"\"\n        # Arrange\n        mock_get_model_id.return_value = \"model_111\"\n\n        from backend.services.agent_service import _resolve_model_with_fallback\n\n        # Act & Assert - Test with \"Model\" label\n        result1 = _resolve_model_with_fallback(\n            model_display_name=\"TestModel\",\n            exported_model_id=\"exp_1\",\n            model_label=\"Model\",\n            tenant_id=\"tenant_008\"\n        )\n        assert result1 == \"model_111\"\n\n        # Reset mock\n        mock_get_model_id.reset_mock()\n        mock_get_model_id.return_value = \"model_222\"\n\n        # Act & Assert - Test with \"Business logic model\" label\n        result2 = _resolve_model_with_fallback(\n            model_display_name=\"TestModel2\",\n            exported_model_id=\"exp_2\",\n            model_label=\"Business logic model\",\n            tenant_id=\"tenant_009\"\n        )\n        assert result2 == \"model_222\"\n\n    @pytest.mark.asyncio\n    @patch('backend.services.agent_service.get_model_id_by_display_name')\n    @patch('backend.services.agent_service.tenant_config_manager.get_model_config')\n    async def test_resolve_model_exception_handling(\n        self,\n        mock_get_model_config,\n        mock_get_model_id,\n    ):\n        \"\"\"Test that exceptions from database calls are propagated.\"\"\"\n        # Arrange\n        mock_get_model_id.side_effect = Exception(\"Database connection error\")\n\n        from backend.services.agent_service import _resolve_model_with_fallback\n\n        # Act & Assert\n        with pytest.raises(Exception, match=\"Database connection error\"):\n            _resolve_model_with_fallback(\n                model_display_name=\"TestModel\",\n                exported_model_id=\"exp_3\",\n                model_label=\"Model\",\n                tenant_id=\"tenant_010\"\n            )\n\n        mock_get_model_config.assert_not_called()\n\n    @pytest.mark.asyncio\n    @patch('backend.services.agent_service.get_model_id_by_display_name')\n    @patch('backend.services.agent_service.tenant_config_manager.get_model_config')\n    async def test_resolve_model_quick_config_exception(\n        self,\n        mock_get_model_config,\n        mock_get_model_id,\n    ):\n        \"\"\"Test when quick config retrieval raises an exception.\"\"\"\n        # Arrange\n        mock_get_model_id.return_value = None\n        mock_get_model_config.side_effect = Exception(\"Config service error\")\n\n        from backend.services.agent_service import _resolve_model_with_fallback\n\n        # Act & Assert\n        with pytest.raises(Exception, match=\"Config service error\"):\n            _resolve_model_with_fallback(\n                model_display_name=\"TestModel\",\n                exported_model_id=\"exp_4\",\n                model_label=\"Model\",\n                tenant_id=\"tenant_011\"\n            )\n\n\ndef test_check_single_model_availability_no_model_id():\n    reasons = _check_single_model_availability(\n        model_id=None,\n        tenant_id=\"tenant\",\n        model_cache={},\n        reason_key=\"model_unavailable\",\n    )\n    assert reasons == []\n\n\n@patch(\"backend.services.agent_service.get_model_by_model_id\")\ndef test_check_single_model_availability_fetches_and_handles_missing_model(mock_get_model):\n    model_cache = {}\n    mock_get_model.return_value = None\n\n    reasons = _check_single_model_availability(\n        model_id=123,\n        tenant_id=\"tenant\",\n        model_cache=model_cache,\n        reason_key=\"model_unavailable\",\n    )\n\n    assert reasons == [\"model_unavailable\"]\n    assert 123 in model_cache\n    mock_get_model.assert_called_once_with(123, \"tenant\")\n\n\ndef test_check_single_model_availability_uses_cached_unavailable_model():\n    model_cache = {\n        456: {\"connect_status\": agent_service.ModelConnectStatusEnum.UNAVAILABLE.value}\n    }\n\n    reasons = _check_single_model_availability(\n        model_id=456,\n        tenant_id=\"tenant\",\n        model_cache=model_cache,\n        reason_key=\"model_unavailable\",\n    )\n\n    assert reasons == [\"model_unavailable\"]\n\n\ndef test_check_single_model_availability_returns_empty_for_available_model():\n    model_cache = {\n        789: {\"connect_status\": agent_service.ModelConnectStatusEnum.AVAILABLE.value}\n    }\n\n    reasons = _check_single_model_availability(\n        model_id=789,\n        tenant_id=\"tenant\",\n        model_cache=model_cache,\n        reason_key=\"model_unavailable\",\n    )\n\n    assert reasons == []\n\n\n# ============================================================================\n# Tests for check_agent_availability function\n# ============================================================================\n\n\n@patch('backend.services.agent_service._collect_model_availability_reasons')\n@patch('backend.services.agent_service.check_tool_is_available')\n@patch('backend.services.agent_service.search_tools_for_sub_agent')\n@patch('backend.services.agent_service.search_agent_info_by_agent_id')\ndef test_check_agent_availability_all_available(\n    mock_search_agent_info,\n    mock_search_tools,\n    mock_check_tool,\n    mock_collect_model_reasons\n):\n    \"\"\"Test check_agent_availability when all tools and models are available.\"\"\"\n    from backend.services.agent_service import check_agent_availability\n\n    mock_agent_info = {\"agent_id\": 123, \"model_id\": 456}\n    mock_search_agent_info.return_value = mock_agent_info\n    mock_search_tools.return_value = [{\"tool_id\": 1}, {\"tool_id\": 2}]\n    mock_check_tool.return_value = [True, True]\n    mock_collect_model_reasons.return_value = []\n\n    is_available, reasons = check_agent_availability(\n        agent_id=123,\n        tenant_id=\"test_tenant\"\n    )\n\n    assert is_available is True\n    assert reasons == []\n    mock_search_agent_info.assert_called_once_with(123, \"test_tenant\")\n    mock_search_tools.assert_called_once_with(agent_id=123, tenant_id=\"test_tenant\")\n    mock_check_tool.assert_called_once_with([1, 2])\n\n\n@patch('backend.services.agent_service._collect_model_availability_reasons')\n@patch('backend.services.agent_service.check_tool_is_available')\n@patch('backend.services.agent_service.search_tools_for_sub_agent')\n@patch('backend.services.agent_service.search_agent_info_by_agent_id')\ndef test_check_agent_availability_tool_unavailable(\n    mock_search_agent_info,\n    mock_search_tools,\n    mock_check_tool,\n    mock_collect_model_reasons\n):\n    \"\"\"Test check_agent_availability when some tools are unavailable.\"\"\"\n    from backend.services.agent_service import check_agent_availability\n\n    mock_agent_info = {\"agent_id\": 123, \"model_id\": 456}\n    mock_search_agent_info.return_value = mock_agent_info\n    mock_search_tools.return_value = [{\"tool_id\": 1}, {\"tool_id\": 2}]\n    mock_check_tool.return_value = [True, False]  # One tool unavailable\n    mock_collect_model_reasons.return_value = []\n\n    is_available, reasons = check_agent_availability(\n        agent_id=123,\n        tenant_id=\"test_tenant\"\n    )\n\n    assert is_available is False\n    assert reasons == [\"tool_unavailable\"]\n\n\n@patch('backend.services.agent_service._collect_model_availability_reasons')\n@patch('backend.services.agent_service.check_tool_is_available')\n@patch('backend.services.agent_service.search_tools_for_sub_agent')\n@patch('backend.services.agent_service.search_agent_info_by_agent_id')\ndef test_check_agent_availability_model_unavailable(\n    mock_search_agent_info,\n    mock_search_tools,\n    mock_check_tool,\n    mock_collect_model_reasons\n):\n    \"\"\"Test check_agent_availability when model is unavailable.\"\"\"\n    from backend.services.agent_service import check_agent_availability\n\n    mock_agent_info = {\"agent_id\": 123, \"model_id\": 456}\n    mock_search_agent_info.return_value = mock_agent_info\n    mock_search_tools.return_value = [{\"tool_id\": 1}]\n    mock_check_tool.return_value = [True]\n    mock_collect_model_reasons.return_value = [\"model_unavailable\"]\n\n    is_available, reasons = check_agent_availability(\n        agent_id=123,\n        tenant_id=\"test_tenant\"\n    )\n\n    assert is_available is False\n    assert reasons == [\"model_unavailable\"]\n\n\n@patch('backend.services.agent_service._collect_model_availability_reasons')\n@patch('backend.services.agent_service.check_tool_is_available')\n@patch('backend.services.agent_service.search_tools_for_sub_agent')\n@patch('backend.services.agent_service.search_agent_info_by_agent_id')\ndef test_check_agent_availability_both_unavailable(\n    mock_search_agent_info,\n    mock_search_tools,\n    mock_check_tool,\n    mock_collect_model_reasons\n):\n    \"\"\"Test check_agent_availability when both tools and model are unavailable.\"\"\"\n    from backend.services.agent_service import check_agent_availability\n\n    mock_agent_info = {\"agent_id\": 123, \"model_id\": 456}\n    mock_search_agent_info.return_value = mock_agent_info\n    mock_search_tools.return_value = [{\"tool_id\": 1}]\n    mock_check_tool.return_value = [False]\n    mock_collect_model_reasons.return_value = [\"model_unavailable\"]\n\n    is_available, reasons = check_agent_availability(\n        agent_id=123,\n        tenant_id=\"test_tenant\"\n    )\n\n    assert is_available is False\n    assert \"tool_unavailable\" in reasons\n    assert \"model_unavailable\" in reasons\n\n\n@patch('backend.services.agent_service._collect_model_availability_reasons')\n@patch('backend.services.agent_service.search_tools_for_sub_agent')\n@patch('backend.services.agent_service.search_agent_info_by_agent_id')\ndef test_check_agent_availability_no_tools(\n    mock_search_agent_info,\n    mock_search_tools,\n    mock_collect_model_reasons\n):\n    \"\"\"Test check_agent_availability when agent has no tools.\"\"\"\n    from backend.services.agent_service import check_agent_availability\n\n    mock_agent_info = {\"agent_id\": 123, \"model_id\": 456}\n    mock_search_agent_info.return_value = mock_agent_info\n    mock_search_tools.return_value = []  # No tools\n    mock_collect_model_reasons.return_value = []\n\n    is_available, reasons = check_agent_availability(\n        agent_id=123,\n        tenant_id=\"test_tenant\"\n    )\n\n    assert is_available is True\n    assert reasons == []\n\n\n@patch('backend.services.agent_service.search_agent_info_by_agent_id')\ndef test_check_agent_availability_agent_not_found(mock_search_agent_info):\n    \"\"\"Test check_agent_availability when agent is not found.\"\"\"\n    from backend.services.agent_service import check_agent_availability\n\n    mock_search_agent_info.return_value = None\n\n    is_available, reasons = check_agent_availability(\n        agent_id=999,\n        tenant_id=\"test_tenant\"\n    )\n\n    assert is_available is False\n    assert reasons == [\"agent_not_found\"]\n\n\n@patch('backend.services.agent_service._collect_model_availability_reasons')\n@patch('backend.services.agent_service.check_tool_is_available')\n@patch('backend.services.agent_service.search_tools_for_sub_agent')\ndef test_check_agent_availability_with_pre_fetched_agent_info(\n    mock_search_tools,\n    mock_check_tool,\n    mock_collect_model_reasons\n):\n    \"\"\"Test check_agent_availability with pre-fetched agent_info (avoids duplicate DB query).\"\"\"\n    from backend.services.agent_service import check_agent_availability\n\n    pre_fetched_agent_info = {\"agent_id\": 123, \"model_id\": 456}\n    mock_search_tools.return_value = [{\"tool_id\": 1}]\n    mock_check_tool.return_value = [True]\n    mock_collect_model_reasons.return_value = []\n\n    is_available, reasons = check_agent_availability(\n        agent_id=123,\n        tenant_id=\"test_tenant\",\n        agent_info=pre_fetched_agent_info\n    )\n\n    assert is_available is True\n    assert reasons == []\n    # search_agent_info_by_agent_id should NOT be called since agent_info was provided\n    mock_search_tools.assert_called_once_with(agent_id=123, tenant_id=\"test_tenant\")\n\n\n@patch('backend.services.agent_service._collect_model_availability_reasons')\n@patch('backend.services.agent_service.check_tool_is_available')\n@patch('backend.services.agent_service.search_tools_for_sub_agent')\ndef test_check_agent_availability_with_model_cache(\n    mock_search_tools,\n    mock_check_tool,\n    mock_collect_model_reasons\n):\n    \"\"\"Test check_agent_availability with pre-populated model cache.\"\"\"\n    from backend.services.agent_service import check_agent_availability\n\n    pre_fetched_agent_info = {\"agent_id\": 123, \"model_id\": 456}\n    model_cache = {456: {\"connect_status\": \"available\"}}\n    mock_search_tools.return_value = [{\"tool_id\": 1}]\n    mock_check_tool.return_value = [True]\n    mock_collect_model_reasons.return_value = []\n\n    is_available, reasons = check_agent_availability(\n        agent_id=123,\n        tenant_id=\"test_tenant\",\n        agent_info=pre_fetched_agent_info,\n        model_cache=model_cache\n    )\n\n    assert is_available is True\n    assert reasons == []\n    # Verify model_cache was passed to _collect_model_availability_reasons\n    mock_collect_model_reasons.assert_called_once()\n    call_args = mock_collect_model_reasons.call_args\n    assert call_args.kwargs.get(\"model_cache\") == model_cache or call_args[1].get(\"model_cache\") == model_cache\n\n\n@pytest.mark.asyncio\n@patch('backend.services.agent_service.check_agent_availability')\n@patch('backend.services.agent_service.get_model_by_model_id')\n@patch('backend.services.agent_service.query_sub_agents_id_list')\n@patch('backend.services.agent_service.search_tools_for_sub_agent')\n@patch('backend.services.agent_service.search_agent_info_by_agent_id')\nasync def test_get_agent_info_impl_with_unavailable_agent(\n    mock_search_agent_info,\n    mock_search_tools,\n    mock_query_sub_agents_id,\n    mock_get_model_by_model_id,\n    mock_check_availability\n):\n    \"\"\"Test get_agent_info_impl returns is_available=False when agent is unavailable.\"\"\"\n    mock_agent_info = {\n        \"agent_id\": 123,\n        \"model_id\": 456,\n        \"business_description\": \"Test agent\"\n    }\n    mock_search_agent_info.return_value = mock_agent_info\n    mock_search_tools.return_value = [{\"tool_id\": 1}]\n    mock_query_sub_agents_id.return_value = []\n    mock_get_model_by_model_id.return_value = {\"display_name\": \"GPT-4\"}\n    # Agent is unavailable due to tool issues\n    mock_check_availability.return_value = (False, [\"tool_unavailable\"])\n\n    result = await get_agent_info_impl(agent_id=123, tenant_id=\"test_tenant\")\n\n    assert result[\"is_available\"] is False\n    assert result[\"unavailable_reasons\"] == [\"tool_unavailable\"]\n\n\n@pytest.mark.asyncio\n@patch('backend.services.agent_service.create_or_update_tool_by_tool_info')\n@patch('backend.services.agent_service.create_agent')\n@patch('backend.services.agent_service.query_all_tools')\n@patch('backend.services.agent_service._resolve_model_with_fallback')\nasync def test_import_agent_by_agent_id_allows_duplicate_name_without_regen(\n    mock_resolve_model,\n    mock_query_all_tools,\n    mock_create_agent,\n    mock_create_tool\n):\n    \"\"\"\n    New behavior: import_agent_by_agent_id no longer performs duplicate-name regeneration.\n    It should create the agent with the provided name/display_name even if duplicates exist.\n    \"\"\"\n    mock_query_all_tools.return_value = []\n    mock_resolve_model.side_effect = [1, 2]\n    mock_create_agent.return_value = {\"agent_id\": 456}\n\n    agent_info = ExportAndImportAgentInfo(\n        agent_id=123,\n        name=\"duplicate_name\",\n        display_name=\"Test Display\",\n        description=\"Test\",\n        business_description=\"Test business\",\n        max_steps=5,\n        provide_run_summary=True,\n        duty_prompt=\"\",\n        constraint_prompt=\"\",\n        few_shots_prompt=\"\",\n        enabled=True,\n        tools=[],\n        managed_agents=[],\n        model_id=1,\n        model_name=\"Model1\",\n        business_logic_model_id=2,\n        business_logic_model_name=\"Model2\"\n    )\n\n    result = await import_agent_by_agent_id(\n        import_agent_info=agent_info,\n        tenant_id=\"test_tenant\",\n        user_id=\"test_user\",\n        skip_duplicate_regeneration=False\n    )\n\n    assert result == 456\n    mock_create_agent.assert_called_once()\n    assert mock_create_agent.call_args[1][\"agent_info\"][\"name\"] == \"duplicate_name\"\n    assert mock_create_agent.call_args[1][\"agent_info\"][\"display_name\"] == \"Test Display\"\n\n\n@pytest.mark.asyncio\n@patch('backend.services.agent_service.create_or_update_tool_by_tool_info')\n@patch('backend.services.agent_service.create_agent')\n@patch('backend.services.agent_service.query_all_tools')\n@patch('backend.services.agent_service._resolve_model_with_fallback')\nasync def test_import_agent_by_agent_id_duplicate_name_no_regen_fallback(\n    mock_resolve_model,\n    mock_query_all_tools,\n    mock_create_agent,\n    mock_create_tool\n):\n    \"\"\"\n    New behavior: even when duplicate name, import proceeds without regeneration or fallback.\n    \"\"\"\n    mock_query_all_tools.return_value = []\n    mock_resolve_model.side_effect = [1, 2]\n    mock_create_agent.return_value = {\"agent_id\": 456}\n\n    agent_info = ExportAndImportAgentInfo(\n        agent_id=123,\n        name=\"duplicate_name\",\n        display_name=\"Test Display\",\n        description=\"Test\",\n        business_description=\"Test business\",\n        max_steps=5,\n        provide_run_summary=True,\n        duty_prompt=\"\",\n        constraint_prompt=\"\",\n        few_shots_prompt=\"\",\n        enabled=True,\n        tools=[],\n        managed_agents=[],\n        model_id=1,\n        model_name=\"Model1\",\n        business_logic_model_id=2,\n        business_logic_model_name=\"Model2\"\n    )\n\n    result = await import_agent_by_agent_id(\n        import_agent_info=agent_info,\n        tenant_id=\"test_tenant\",\n        user_id=\"test_user\",\n        skip_duplicate_regeneration=False\n    )\n\n    assert result == 456\n    mock_create_agent.assert_called_once()\n    assert mock_create_agent.call_args[1][\"agent_info\"][\"name\"] == \"duplicate_name\"\n\n\n@pytest.mark.asyncio\n@patch('backend.services.agent_service.create_or_update_tool_by_tool_info')\n@patch('backend.services.agent_service.create_agent')\n@patch('backend.services.agent_service.query_all_tools')\n@patch('backend.services.agent_service._resolve_model_with_fallback')\nasync def test_import_agent_by_agent_id_duplicate_name_no_model_still_allows(\n    mock_resolve_model,\n    mock_query_all_tools,\n    mock_create_agent,\n    mock_create_tool\n):\n    \"\"\"\n    New behavior: even without model, duplicate name passes through unchanged.\n    \"\"\"\n    mock_query_all_tools.return_value = []\n    mock_resolve_model.side_effect = [None, None]\n    mock_create_agent.return_value = {\"agent_id\": 456}\n\n    agent_info = ExportAndImportAgentInfo(\n        agent_id=123,\n        name=\"duplicate_name\",\n        display_name=\"Test Display\",\n        description=\"Test\",\n        business_description=\"Test business\",\n        max_steps=5,\n        provide_run_summary=True,\n        duty_prompt=\"\",\n        constraint_prompt=\"\",\n        few_shots_prompt=\"\",\n        enabled=True,\n        tools=[],\n        managed_agents=[],\n        model_id=None,\n        model_name=None,\n        business_logic_model_id=None,\n        business_logic_model_name=None\n    )\n\n    result = await import_agent_by_agent_id(\n        import_agent_info=agent_info,\n        tenant_id=\"test_tenant\",\n        user_id=\"test_user\",\n        skip_duplicate_regeneration=False\n    )\n\n    assert result == 456\n    mock_create_agent.assert_called_once()\n    assert mock_create_agent.call_args[1][\"agent_info\"][\"name\"] == \"duplicate_name\"\n\n\n@pytest.mark.asyncio\n@patch('backend.services.agent_service.create_or_update_tool_by_tool_info')\n@patch('backend.services.agent_service.create_agent')\n@patch('backend.services.agent_service.query_all_tools')\n@patch('backend.services.agent_service._resolve_model_with_fallback')\nasync def test_import_agent_by_agent_id_duplicate_display_name_allowed(\n    mock_resolve_model,\n    mock_query_all_tools,\n    mock_create_agent,\n    mock_create_tool\n):\n    \"\"\"New behavior: duplicate display_name passes through without regeneration.\"\"\"\n    mock_query_all_tools.return_value = []\n    mock_resolve_model.side_effect = [1, 2]\n    mock_create_agent.return_value = {\"agent_id\": 456}\n\n    agent_info = ExportAndImportAgentInfo(\n        agent_id=123,\n        name=\"unique_name\",\n        display_name=\"duplicate_display\",\n        description=\"Test\",\n        business_description=\"Test business\",\n        max_steps=5,\n        provide_run_summary=True,\n        duty_prompt=\"\",\n        constraint_prompt=\"\",\n        few_shots_prompt=\"\",\n        enabled=True,\n        tools=[],\n        managed_agents=[],\n        model_id=1,\n        model_name=\"Model1\",\n        business_logic_model_id=2,\n        business_logic_model_name=\"Model2\"\n    )\n\n    result = await import_agent_by_agent_id(\n        import_agent_info=agent_info,\n        tenant_id=\"test_tenant\",\n        user_id=\"test_user\",\n        skip_duplicate_regeneration=False\n    )\n\n    assert result == 456\n    mock_create_agent.assert_called_once()\n    assert mock_create_agent.call_args[1][\"agent_info\"][\"display_name\"] == \"duplicate_display\"\n\n\n@pytest.mark.asyncio\n@patch('backend.services.agent_service.create_or_update_tool_by_tool_info')\n@patch('backend.services.agent_service.create_agent')\n@patch('backend.services.agent_service.query_all_tools')\n@patch('backend.services.agent_service._resolve_model_with_fallback')\nasync def test_import_agent_by_agent_id_duplicate_display_name_no_llm_fallback(\n    mock_resolve_model,\n    mock_query_all_tools,\n    mock_create_agent,\n    mock_create_tool\n):\n    \"\"\"\n    New behavior: duplicate display_name passes through without LLM; fallback not invoked.\n    \"\"\"\n    mock_query_all_tools.return_value = []\n    mock_resolve_model.side_effect = [1, 2]\n    mock_create_agent.return_value = {\"agent_id\": 456}\n\n    agent_info = ExportAndImportAgentInfo(\n        agent_id=123,\n        name=\"unique_name\",\n        display_name=\"duplicate_display\",\n        description=\"Test\",\n        business_description=\"Test business\",\n        max_steps=5,\n        provide_run_summary=True,\n        duty_prompt=\"\",\n        constraint_prompt=\"\",\n        few_shots_prompt=\"\",\n        enabled=True,\n        tools=[],\n        managed_agents=[],\n        model_id=1,\n        model_name=\"Model1\",\n        business_logic_model_id=2,\n        business_logic_model_name=\"Model2\"\n    )\n\n    result = await import_agent_by_agent_id(\n        import_agent_info=agent_info,\n        tenant_id=\"test_tenant\",\n        user_id=\"test_user\",\n        skip_duplicate_regeneration=False\n    )\n\n    assert result == 456\n    mock_create_agent.assert_called_once()\n    assert mock_create_agent.call_args[1][\"agent_info\"][\"display_name\"] == \"duplicate_display\"\n\n\n@pytest.mark.asyncio\n@patch('backend.services.agent_service.create_or_update_tool_by_tool_info')\n@patch('backend.services.agent_service.create_agent')\n@patch('backend.services.agent_service.query_all_tools')\n@patch('backend.services.agent_service._resolve_model_with_fallback')\nasync def test_import_agent_by_agent_id_duplicate_display_name_no_model_still_allowed(\n    mock_resolve_model,\n    mock_query_all_tools,\n    mock_create_agent,\n    mock_create_tool\n):\n    \"\"\"\n    New behavior: even without model, duplicate display_name passes through unchanged.\n    \"\"\"\n    mock_query_all_tools.return_value = []\n    mock_resolve_model.side_effect = [None, None]\n    mock_create_agent.return_value = {\"agent_id\": 456}\n\n    agent_info = ExportAndImportAgentInfo(\n        agent_id=123,\n        name=\"unique_name\",\n        display_name=\"duplicate_display\",\n        description=\"Test\",\n        business_description=\"Test business\",\n        max_steps=5,\n        provide_run_summary=True,\n        duty_prompt=\"\",\n        constraint_prompt=\"\",\n        few_shots_prompt=\"\",\n        enabled=True,\n        tools=[],\n        managed_agents=[],\n        model_id=None,\n        model_name=None,\n        business_logic_model_id=None,\n        business_logic_model_name=None\n    )\n\n    result = await import_agent_by_agent_id(\n        import_agent_info=agent_info,\n        tenant_id=\"test_tenant\",\n        user_id=\"test_user\",\n        skip_duplicate_regeneration=False\n    )\n\n    assert result == 456\n    mock_create_agent.assert_called_once()\n    assert mock_create_agent.call_args[1][\"agent_info\"][\"display_name\"] == \"duplicate_display\"\n\n\n@pytest.mark.asyncio\nasync def test_clear_agent_new_mark_impl_success():\n    \"\"\"\n    Test successful clearing of agent NEW mark through service layer.\n\n    This test verifies that:\n    1. The function correctly calls the database helper\n    2. Returns the correct row count\n    3. Logs the operation with correct parameters\n    \"\"\"\n    # Setup\n    mock_module = MagicMock()\n    mock_module.clear_agent_new_mark.return_value = 1\n    with patch('backend.services.agent_service.clear_agent_new_mark', new=mock_module.clear_agent_new_mark), \\\n         patch('backend.services.agent_service.logger') as mock_logger:\n\n        # Execute\n        result = await clear_agent_new_mark_impl(\n            agent_id=123,\n            tenant_id=\"test_tenant\",\n            user_id=\"test_user\"\n        )\n\n        # Assert\n        assert result == 1\n        mock_module.clear_agent_new_mark.assert_called_once_with(123, \"test_tenant\", \"test_user\")\n        mock_logger.info.assert_called_once_with(\n            \"clear_agent_new_mark_impl called for agent_id=123, tenant_id=test_tenant, user_id=test_user, affected_rows=1\"\n        )\n\n\n@pytest.mark.asyncio\nasync def test_clear_agent_new_mark_impl_no_rows_affected():\n    \"\"\"\n    Test clearing agent NEW mark when no rows are affected.\n\n    This test verifies that:\n    1. The function handles zero affected rows correctly\n    2. Still logs the operation appropriately\n    \"\"\"\n    # Setup\n    mock_module = MagicMock()\n    mock_module.clear_agent_new_mark.return_value = 0\n    with patch('backend.services.agent_service.clear_agent_new_mark', new=mock_module.clear_agent_new_mark), \\\n         patch('backend.services.agent_service.logger') as mock_logger:\n\n        # Execute\n        result = await clear_agent_new_mark_impl(\n            agent_id=999,\n            tenant_id=\"test_tenant\",\n            user_id=\"test_user\"\n        )\n\n        # Assert\n        assert result == 0\n        mock_module.clear_agent_new_mark.assert_called_once_with(999, \"test_tenant\", \"test_user\")\n        mock_logger.info.assert_called_once_with(\n            \"clear_agent_new_mark_impl called for agent_id=999, tenant_id=test_tenant, user_id=test_user, affected_rows=0\"\n        )\n\n\n@pytest.mark.asyncio\nasync def test_clear_agent_new_mark_impl_multiple_rows_affected():\n    \"\"\"\n    Test clearing agent NEW mark when multiple rows are affected.\n\n    This test verifies that:\n    1. The function handles multiple affected rows correctly\n    2. Logs the correct count\n    \"\"\"\n    # Setup\n    mock_module = MagicMock()\n    mock_module.clear_agent_new_mark.return_value = 3\n    with patch('backend.services.agent_service.clear_agent_new_mark', new=mock_module.clear_agent_new_mark), \\\n         patch('backend.services.agent_service.logger') as mock_logger:\n\n        # Execute\n        result = await clear_agent_new_mark_impl(\n            agent_id=456,\n            tenant_id=\"another_tenant\",\n            user_id=\"another_user\"\n        )\n\n        # Assert\n        assert result == 3\n        mock_module.clear_agent_new_mark.assert_called_once_with(456, \"another_tenant\", \"another_user\")\n        mock_logger.info.assert_called_once_with(\n            \"clear_agent_new_mark_impl called for agent_id=456, tenant_id=another_tenant, user_id=another_user, affected_rows=3\"\n        )\n\n\n@pytest.mark.asyncio\nasync def test_clear_agent_new_mark_impl_database_error():\n    \"\"\"\n    Test clear_agent_new_mark_impl when database operation fails.\n\n    This test verifies that:\n    1. The function propagates database errors\n    2. Does not log success when operation fails\n    \"\"\"\n    # Setup\n    mock_module = MagicMock()\n    mock_module.clear_agent_new_mark.side_effect = Exception(\"Database connection failed\")\n    with patch('backend.services.agent_service.clear_agent_new_mark', new=mock_module.clear_agent_new_mark), \\\n         patch('backend.services.agent_service.logger') as mock_logger:\n\n        # Execute and Assert\n        with pytest.raises(Exception, match=\"Database connection failed\"):\n            await clear_agent_new_mark_impl(\n                agent_id=123,\n                tenant_id=\"test_tenant\",\n                user_id=\"test_user\"\n            )\n\n        mock_module.clear_agent_new_mark.assert_called_once_with(123, \"test_tenant\", \"test_user\")\n        mock_logger.info.assert_not_called()\n\n\n@pytest.mark.asyncio\nasync def test_clear_agent_new_mark_impl_with_special_characters():\n    \"\"\"\n    Test clear_agent_new_mark_impl with special characters in parameters.\n\n    This test verifies that:\n    1. The function handles special characters in tenant_id and user_id\n    2. Properly passes through all parameters\n    \"\"\"\n    # Setup\n    mock_module = MagicMock()\n    mock_module.clear_agent_new_mark.return_value = 1\n    with patch('backend.services.agent_service.clear_agent_new_mark', new=mock_module.clear_agent_new_mark), \\\n         patch('backend.services.agent_service.logger') as mock_logger:\n\n        # Execute\n        result = await clear_agent_new_mark_impl(\n            agent_id=789,\n            tenant_id=\"tenant-with-dashes_and_underscores\",\n            user_id=\"user@domain.com\"\n        )\n\n        # Assert\n        assert result == 1\n        mock_module.clear_agent_new_mark.assert_called_once_with(789, \"tenant-with-dashes_and_underscores\", \"user@domain.com\")\n        mock_logger.info.assert_called_once_with(\n            \"clear_agent_new_mark_impl called for agent_id=789, tenant_id=tenant-with-dashes_and_underscores, user_id=user@domain.com, affected_rows=1\"\n        )\n\n# Tests for ingroup_permission and group_ids functionality\n@patch('backend.services.agent_service.create_or_update_tool_by_tool_info')\n@patch('backend.services.agent_service.query_tool_instances_by_id')\n@patch('backend.services.agent_service.query_all_tools')\n@patch('backend.services.agent_service.create_agent')\n@patch('backend.services.agent_service.get_current_user_info')\n@patch('backend.services.agent_service.convert_list_to_string')\n@patch('backend.services.agent_service._get_user_group_ids')\n@pytest.mark.asyncio\nasync def test_update_agent_info_impl_create_agent_with_ingroup_permission(\n    mock_get_user_group_ids,\n    mock_convert_list_to_string,\n    mock_get_current_user_info,\n    mock_create_agent,\n    mock_query_all_tools,\n    mock_query_tool_instances_by_id,\n    mock_create_or_update_tool\n):\n    \"\"\"Test creating agent with ingroup_permission set.\"\"\"\n    from consts.const import PERMISSION_READ, PERMISSION_EDIT, PERMISSION_PRIVATE\n\n    mock_get_current_user_info.return_value = (\"test_user\", \"test_tenant\", \"en\")\n    mock_get_user_group_ids.return_value = \"1,2,3\"\n    mock_convert_list_to_string.return_value = \"1,2\"\n    mock_create_agent.return_value = {\"agent_id\": 123}\n\n    request = MagicMock()\n    request.agent_id = None\n    request.name = \"Test Agent\"\n    request.display_name = \"Test Display\"\n    request.description = \"Test description\"\n    request.business_description = None\n    request.author = None\n    request.model_id = None\n    request.model_name = None\n    request.business_logic_model_id = None\n    request.business_logic_model_name = None\n    request.max_steps = None\n    request.provide_run_summary = None\n    request.duty_prompt = None\n    request.constraint_prompt = None\n    request.few_shots_prompt = None\n    request.enabled = True\n    request.enabled_tool_ids = None\n    request.related_agent_ids = None\n    request.group_ids = [1, 2]\n    request.ingroup_permission = PERMISSION_READ\n\n    result = await update_agent_info_impl(request, authorization=\"Bearer token\")\n\n    assert result[\"agent_id\"] == 123\n    call_args = mock_create_agent.call_args[1][\"agent_info\"]\n    assert call_args[\"ingroup_permission\"] == PERMISSION_READ\n    assert call_args[\"group_ids\"] == \"1,2\"\n\n\n@patch('backend.services.agent_service.create_or_update_tool_by_tool_info')\n@patch('backend.services.agent_service.query_tool_instances_by_id')\n@patch('backend.services.agent_service.query_all_tools')\n@patch('backend.services.agent_service.create_agent')\n@patch('backend.services.agent_service.get_current_user_info')\n@patch('backend.services.agent_service._get_user_group_ids')\n@pytest.mark.asyncio\nasync def test_update_agent_info_impl_create_agent_with_ingroup_permission_none(\n    mock_get_user_group_ids,\n    mock_get_current_user_info,\n    mock_create_agent,\n    mock_query_all_tools,\n    mock_query_tool_instances_by_id,\n    mock_create_or_update_tool\n):\n    \"\"\"Test creating agent with ingroup_permission None.\"\"\"\n    mock_get_current_user_info.return_value = (\"test_user\", \"test_tenant\", \"en\")\n    mock_get_user_group_ids.return_value = \"1,2,3\"\n    mock_create_agent.return_value = {\"agent_id\": 456}\n\n    request = MagicMock()\n    request.agent_id = None\n    request.name = \"Test Agent\"\n    request.display_name = \"Test Display\"\n    request.description = \"Test description\"\n    request.business_description = None\n    request.author = None\n    request.model_id = None\n    request.model_name = None\n    request.business_logic_model_id = None\n    request.business_logic_model_name = None\n    request.max_steps = None\n    request.provide_run_summary = None\n    request.duty_prompt = None\n    request.constraint_prompt = None\n    request.few_shots_prompt = None\n    request.enabled = True\n    request.enabled_tool_ids = None\n    request.related_agent_ids = None\n    request.group_ids = None\n    request.ingroup_permission = None\n\n    result = await update_agent_info_impl(request, authorization=\"Bearer token\")\n\n    assert result[\"agent_id\"] == 456\n    call_args = mock_create_agent.call_args[1][\"agent_info\"]\n    assert call_args[\"ingroup_permission\"] is None\n    assert call_args[\"group_ids\"] == \"1,2,3\"  # Should use user's groups\n\n\n@pytest.mark.asyncio\n@patch(\"backend.services.agent_service.get_model_by_model_id\")\n@patch(\"backend.services.agent_service.check_agent_availability\")\n@patch(\"backend.services.agent_service.convert_string_to_list\")\n@patch(\"backend.services.agent_service.get_user_tenant_by_user_id\")\n@patch(\"backend.services.agent_service.query_group_ids_by_user\")\n@patch(\"backend.services.agent_service.query_all_agent_info_by_tenant_id\")\nasync def test_list_all_agent_info_impl_creator_with_private_permission_no_group_overlap(\n    mock_query_agents,\n    mock_query_groups,\n    mock_get_user_tenant,\n    mock_convert_list,\n    mock_check_availability,\n    mock_get_model,\n):\n    \"\"\"Test that creators cannot see their own agents if no group overlap, even with PRIVATE permission.\"\"\"\n    from consts.const import PERMISSION_PRIVATE\n\n    mock_agents = [\n        {\n            \"agent_id\": 1,\n            \"name\": \"Agent 1\",\n            \"display_name\": \"Display Agent 1\",\n            \"description\": \"Agent with PRIVATE permission, created by current_user, but no group overlap\",\n            \"enabled\": True,\n            \"group_ids\": \"5,6\",  # No overlap with user's groups [1, 2]\n            \"ingroup_permission\": PERMISSION_PRIVATE,\n            \"created_by\": \"current_user\",\n            \"create_time\": 1,\n        },\n    ]\n\n    mock_query_agents.return_value = mock_agents\n    mock_get_user_tenant.return_value = {\"user_role\": \"USER\"}\n    mock_query_groups.return_value = [1, 2]\n\n    def convert_side_effect(x):\n        if not x or (isinstance(x, str) and x.strip() == \"\"):\n            return []\n        parts = str(x).split(\",\")\n        result = []\n        for part in parts:\n            stripped = part.strip()\n            if stripped and stripped.isdigit():\n                result.append(int(stripped))\n        return result\n    mock_convert_list.side_effect = convert_side_effect\n\n    mock_check_availability.return_value = (True, [])\n    mock_get_model.return_value = None\n\n    result = await list_all_agent_info_impl(tenant_id=\"test_tenant\", user_id=\"current_user\")\n\n    # Creator can see their own agent even if no group overlap and permission is PRIVATE\n    assert len(result) == 1\n    agent_ids = [a[\"agent_id\"] for a in result]\n    assert 1 in agent_ids, \"Agent 1 should be visible because user is the creator\"\n\n\n@pytest.mark.asyncio\n@patch(\"backend.services.agent_service.get_model_by_model_id\")\n@patch(\"backend.services.agent_service.check_agent_availability\")\n@patch(\"backend.services.agent_service.convert_string_to_list\")\n@patch(\"backend.services.agent_service.get_user_tenant_by_user_id\")\n@patch(\"backend.services.agent_service.query_group_ids_by_user\")\n@patch(\"backend.services.agent_service.query_all_agent_info_by_tenant_id\")\nasync def test_list_all_agent_info_impl_creator_with_private_permission_with_group_overlap(\n    mock_query_agents,\n    mock_query_groups,\n    mock_get_user_tenant,\n    mock_convert_list,\n    mock_check_availability,\n    mock_get_model,\n):\n    \"\"\"Test that creators can see their own agents with PRIVATE permission if there is group overlap.\"\"\"\n    from consts.const import PERMISSION_PRIVATE\n\n    mock_agents = [\n        {\n            \"agent_id\": 1,\n            \"name\": \"Agent 1\",\n            \"display_name\": \"Display Agent 1\",\n            \"description\": \"Agent with PRIVATE permission, created by current_user, with group overlap\",\n            \"enabled\": True,\n            \"group_ids\": \"1,6\",  # Overlaps with user's group 1\n            \"ingroup_permission\": PERMISSION_PRIVATE,\n            \"created_by\": \"current_user\",\n            \"create_time\": 1,\n        },\n    ]\n\n    mock_query_agents.return_value = mock_agents\n    mock_get_user_tenant.return_value = {\"user_role\": \"USER\"}\n    mock_query_groups.return_value = [1, 2]\n\n    def convert_side_effect(x):\n        if not x or (isinstance(x, str) and x.strip() == \"\"):\n            return []\n        parts = str(x).split(\",\")\n        result = []\n        for part in parts:\n            stripped = part.strip()\n            if stripped and stripped.isdigit():\n                result.append(int(stripped))\n        return result\n    mock_convert_list.side_effect = convert_side_effect\n\n    mock_check_availability.return_value = (True, [])\n    mock_get_model.return_value = None\n\n    result = await list_all_agent_info_impl(tenant_id=\"test_tenant\", user_id=\"current_user\")\n\n    # Creator can see their own agent with PRIVATE permission if there is group overlap\n    assert len(result) == 1\n    assert result[0][\"agent_id\"] == 1\n\n\n@pytest.mark.asyncio\n@patch(\"backend.services.agent_service.get_model_by_model_id\")\n@patch(\"backend.services.agent_service.check_agent_availability\")\n@patch(\"backend.services.agent_service.convert_string_to_list\")\n@patch(\"backend.services.agent_service.get_user_tenant_by_user_id\")\n@patch(\"backend.services.agent_service.query_group_ids_by_user\")\n@patch(\"backend.services.agent_service.query_all_agent_info_by_tenant_id\")\nasync def test_list_all_agent_info_impl_non_creator_with_private_permission_hidden(\n    mock_query_agents,\n    mock_query_groups,\n    mock_get_user_tenant,\n    mock_convert_list,\n    mock_check_availability,\n    mock_get_model,\n):\n    \"\"\"Test that non-creators cannot see agents with PRIVATE permission even with group overlap.\"\"\"\n    from consts.const import PERMISSION_PRIVATE\n\n    mock_agents = [\n        {\n            \"agent_id\": 1,\n            \"name\": \"Agent 1\",\n            \"display_name\": \"Display Agent 1\",\n            \"description\": \"Agent with PRIVATE permission, not created by current_user\",\n            \"enabled\": True,\n            \"group_ids\": \"1,2\",  # Overlaps with user's groups [1, 2]\n            \"ingroup_permission\": PERMISSION_PRIVATE,\n            \"created_by\": \"other_user\",\n            \"create_time\": 1,\n        },\n    ]\n\n    mock_query_agents.return_value = mock_agents\n    mock_get_user_tenant.return_value = {\"user_role\": \"USER\"}\n    mock_query_groups.return_value = [1, 2]\n\n    def convert_side_effect(x):\n        if not x or (isinstance(x, str) and x.strip() == \"\"):\n            return []\n        parts = str(x).split(\",\")\n        result = []\n        for part in parts:\n            stripped = part.strip()\n            if stripped and stripped.isdigit():\n                result.append(int(stripped))\n        return result\n    mock_convert_list.side_effect = convert_side_effect\n\n    mock_check_availability.return_value = (True, [])\n    mock_get_model.return_value = None\n\n    result = await list_all_agent_info_impl(tenant_id=\"test_tenant\", user_id=\"current_user\")\n\n    # Non-creator should NOT see agent with PRIVATE permission even with group overlap\n    assert len(result) == 0\n\n\n@pytest.mark.asyncio\n@patch(\"backend.services.agent_service.get_model_by_model_id\")\n@patch(\"backend.services.agent_service.check_agent_availability\")\n@patch(\"backend.services.agent_service.convert_string_to_list\")\n@patch(\"backend.services.agent_service.get_user_tenant_by_user_id\")\n@patch(\"backend.services.agent_service.query_group_ids_by_user\")\n@patch(\"backend.services.agent_service.query_all_agent_info_by_tenant_id\")\nasync def test_list_all_agent_info_impl_permission_assignment_creator_gets_edit(\n    mock_query_agents,\n    mock_query_groups,\n    mock_get_user_tenant,\n    mock_convert_list,\n    mock_check_availability,\n    mock_get_model,\n):\n    \"\"\"Test that creators get PERMISSION_EDIT regardless of ingroup_permission.\"\"\"\n    from consts.const import PERMISSION_READ, PERMISSION_EDIT\n\n    mock_agents = [\n        {\n            \"agent_id\": 1,\n            \"name\": \"Agent 1\",\n            \"display_name\": \"Display Agent 1\",\n            \"description\": \"Agent created by current_user\",\n            \"enabled\": True,\n            \"group_ids\": \"1,2\",\n            \"ingroup_permission\": PERMISSION_READ,  # Even with READ permission\n            \"created_by\": \"current_user\",\n            \"create_time\": 1,\n        },\n    ]\n\n    mock_query_agents.return_value = mock_agents\n    mock_get_user_tenant.return_value = {\"user_role\": \"USER\"}\n    mock_query_groups.return_value = [1, 2]\n\n    def convert_side_effect(x):\n        if not x or (isinstance(x, str) and x.strip() == \"\"):\n            return []\n        parts = str(x).split(\",\")\n        result = []\n        for part in parts:\n            stripped = part.strip()\n            if stripped and stripped.isdigit():\n                result.append(int(stripped))\n        return result\n    mock_convert_list.side_effect = convert_side_effect\n\n    mock_check_availability.return_value = (True, [])\n    mock_get_model.return_value = None\n\n    result = await list_all_agent_info_impl(tenant_id=\"test_tenant\", user_id=\"current_user\")\n\n    assert len(result) == 1\n    assert result[0][\"permission\"] == PERMISSION_EDIT  # Creator gets EDIT\n\n\n@pytest.mark.asyncio\n@patch(\"backend.services.agent_service.get_model_by_model_id\")\n@patch(\"backend.services.agent_service.check_agent_availability\")\n@patch(\"backend.services.agent_service.convert_string_to_list\")\n@patch(\"backend.services.agent_service.get_user_tenant_by_user_id\")\n@patch(\"backend.services.agent_service.query_group_ids_by_user\")\n@patch(\"backend.services.agent_service.query_all_agent_info_by_tenant_id\")\nasync def test_list_all_agent_info_impl_permission_assignment_non_creator_uses_ingroup_permission(\n    mock_query_agents,\n    mock_query_groups,\n    mock_get_user_tenant,\n    mock_convert_list,\n    mock_check_availability,\n    mock_get_model,\n):\n    \"\"\"Test that non-creators use ingroup_permission when set.\"\"\"\n    from consts.const import PERMISSION_READ, PERMISSION_EDIT\n\n    mock_agents = [\n        {\n            \"agent_id\": 1,\n            \"name\": \"Agent 1\",\n            \"display_name\": \"Display Agent 1\",\n            \"description\": \"Agent not created by current_user\",\n            \"enabled\": True,\n            \"group_ids\": \"1,2\",\n            \"ingroup_permission\": PERMISSION_EDIT,  # Set to EDIT\n            \"created_by\": \"other_user\",\n            \"create_time\": 1,\n        },\n        {\n            \"agent_id\": 2,\n            \"name\": \"Agent 2\",\n            \"display_name\": \"Display Agent 2\",\n            \"description\": \"Agent with READ permission\",\n            \"enabled\": True,\n            \"group_ids\": \"1,2\",\n            \"ingroup_permission\": PERMISSION_READ,  # Set to READ\n            \"created_by\": \"other_user\",\n            \"create_time\": 2,\n        },\n        {\n            \"agent_id\": 3,\n            \"name\": \"Agent 3\",\n            \"display_name\": \"Display Agent 3\",\n            \"description\": \"Agent with None permission\",\n            \"enabled\": True,\n            \"group_ids\": \"1,2\",\n            \"ingroup_permission\": None,  # None should default to READ\n            \"created_by\": \"other_user\",\n            \"create_time\": 3,\n        },\n    ]\n\n    mock_query_agents.return_value = mock_agents\n    mock_get_user_tenant.return_value = {\"user_role\": \"USER\"}\n    mock_query_groups.return_value = [1, 2]\n\n    def convert_side_effect(x):\n        if not x or (isinstance(x, str) and x.strip() == \"\"):\n            return []\n        parts = str(x).split(\",\")\n        result = []\n        for part in parts:\n            stripped = part.strip()\n            if stripped and stripped.isdigit():\n                result.append(int(stripped))\n        return result\n    mock_convert_list.side_effect = convert_side_effect\n\n    mock_check_availability.return_value = (True, [])\n    mock_get_model.return_value = None\n\n    result = await list_all_agent_info_impl(tenant_id=\"test_tenant\", user_id=\"current_user\")\n\n    assert len(result) == 3\n    agent1 = next(a for a in result if a[\"agent_id\"] == 1)\n    agent2 = next(a for a in result if a[\"agent_id\"] == 2)\n    agent3 = next(a for a in result if a[\"agent_id\"] == 3)\n    assert agent1[\"permission\"] == PERMISSION_EDIT\n    assert agent2[\"permission\"] == PERMISSION_READ\n    assert agent3[\"permission\"] == PERMISSION_READ  # None defaults to READ\n\n\n@pytest.mark.asyncio\n@patch(\"backend.services.agent_service.get_model_by_model_id\")\n@patch(\"backend.services.agent_service.check_agent_availability\")\n@patch(\"backend.services.agent_service.convert_string_to_list\")\n@patch(\"backend.services.agent_service.get_user_tenant_by_user_id\")\n@patch(\"backend.services.agent_service.query_group_ids_by_user\")\n@patch(\"backend.services.agent_service.query_all_agent_info_by_tenant_id\")\nasync def test_list_all_agent_info_impl_admin_gets_edit_permission(\n    mock_query_agents,\n    mock_query_groups,\n    mock_get_user_tenant,\n    mock_convert_list,\n    mock_check_availability,\n    mock_get_model,\n):\n    \"\"\"Test that admin users (can_edit_all) get PERMISSION_EDIT regardless of ingroup_permission.\"\"\"\n    from consts.const import PERMISSION_READ, PERMISSION_EDIT\n\n    mock_agents = [\n        {\n            \"agent_id\": 1,\n            \"name\": \"Agent 1\",\n            \"display_name\": \"Display Agent 1\",\n            \"description\": \"Agent with READ permission\",\n            \"enabled\": True,\n            \"group_ids\": \"1,2\",\n            \"ingroup_permission\": PERMISSION_READ,\n            \"created_by\": \"other_user\",\n            \"create_time\": 1,\n        },\n    ]\n\n    mock_query_agents.return_value = mock_agents\n    mock_get_user_tenant.return_value = {\"user_role\": \"ADMIN\"}  # Admin role\n    mock_query_groups.return_value = []\n\n    def convert_side_effect(x):\n        if not x or (isinstance(x, str) and x.strip() == \"\"):\n            return []\n        parts = str(x).split(\",\")\n        result = []\n        for part in parts:\n            stripped = part.strip()\n            if stripped and stripped.isdigit():\n                result.append(int(stripped))\n        return result\n    mock_convert_list.side_effect = convert_side_effect\n\n    mock_check_availability.return_value = (True, [])\n    mock_get_model.return_value = None\n\n    result = await list_all_agent_info_impl(tenant_id=\"test_tenant\", user_id=\"admin_user\")\n\n    assert len(result) == 1\n    assert result[0][\"permission\"] == PERMISSION_EDIT  # Admin gets EDIT\n\n\n@pytest.mark.asyncio\n@patch(\"backend.services.agent_service.get_model_by_model_id\")\n@patch(\"backend.services.agent_service.check_agent_availability\")\n@patch(\"backend.services.agent_service.convert_string_to_list\")\n@patch(\"backend.services.agent_service.get_user_tenant_by_user_id\")\n@patch(\"backend.services.agent_service.query_group_ids_by_user\")\n@patch(\"backend.services.agent_service.query_all_agent_info_by_tenant_id\")\nasync def test_list_all_agent_info_impl_non_creator_no_group_overlap_hidden(\n    mock_query_agents,\n    mock_query_groups,\n    mock_get_user_tenant,\n    mock_convert_list,\n    mock_check_availability,\n    mock_get_model,\n):\n    \"\"\"Test that non-creators without group overlap are hidden.\"\"\"\n    mock_agents = [\n        {\n            \"agent_id\": 1,\n            \"name\": \"Agent 1\",\n            \"display_name\": \"Display Agent 1\",\n            \"description\": \"Agent not created by current_user, no group overlap\",\n            \"enabled\": True,\n            \"group_ids\": \"5,6\",  # No overlap with user's groups [1, 2]\n            \"ingroup_permission\": None,\n            \"created_by\": \"other_user\",\n            \"create_time\": 1,\n        },\n    ]\n\n    mock_query_agents.return_value = mock_agents\n    mock_get_user_tenant.return_value = {\"user_role\": \"USER\"}\n    mock_query_groups.return_value = [1, 2]\n\n    def convert_side_effect(x):\n        if not x or (isinstance(x, str) and x.strip() == \"\"):\n            return []\n        parts = str(x).split(\",\")\n        result = []\n        for part in parts:\n            stripped = part.strip()\n            if stripped and stripped.isdigit():\n                result.append(int(stripped))\n        return result\n    mock_convert_list.side_effect = convert_side_effect\n\n    mock_check_availability.return_value = (True, [])\n    mock_get_model.return_value = None\n\n    result = await list_all_agent_info_impl(tenant_id=\"test_tenant\", user_id=\"current_user\")\n\n    # Non-creator without group overlap should be hidden (no group overlap hides it)\n    assert len(result) == 0\n\n\n@pytest.mark.asyncio\n@patch(\"backend.services.agent_service.get_model_by_model_id\")\n@patch(\"backend.services.agent_service.check_agent_availability\")\n@patch(\"backend.services.agent_service.convert_string_to_list\")\n@patch(\"backend.services.agent_service.get_user_tenant_by_user_id\")\n@patch(\"backend.services.agent_service.query_group_ids_by_user\")\n@patch(\"backend.services.agent_service.query_all_agent_info_by_tenant_id\")\nasync def test_list_all_agent_info_impl_creator_no_group_overlap_hidden(\n    mock_query_agents,\n    mock_query_groups,\n    mock_get_user_tenant,\n    mock_convert_list,\n    mock_check_availability,\n    mock_get_model,\n):\n    \"\"\"Test that creators cannot see their own agents if no group overlap.\"\"\"\n    mock_agents = [\n        {\n            \"agent_id\": 1,\n            \"name\": \"Agent 1\",\n            \"display_name\": \"Display Agent 1\",\n            \"description\": \"Agent created by current_user, but no group overlap\",\n            \"enabled\": True,\n            \"group_ids\": \"5,6\",  # No overlap with user's groups [1, 2]\n            \"ingroup_permission\": None,\n            \"created_by\": \"current_user\",\n            \"create_time\": 1,\n        },\n    ]\n\n    mock_query_agents.return_value = mock_agents\n    mock_get_user_tenant.return_value = {\"user_role\": \"USER\"}\n    mock_query_groups.return_value = [1, 2]\n\n    def convert_side_effect(x):\n        if not x or (isinstance(x, str) and x.strip() == \"\"):\n            return []\n        parts = str(x).split(\",\")\n        result = []\n        for part in parts:\n            stripped = part.strip()\n            if stripped and stripped.isdigit():\n                result.append(int(stripped))\n        return result\n    mock_convert_list.side_effect = convert_side_effect\n\n    mock_check_availability.return_value = (True, [])\n    mock_get_model.return_value = None\n\n    result = await list_all_agent_info_impl(tenant_id=\"test_tenant\", user_id=\"current_user\")\n\n    # Creator can see their own agent even if no group overlap\n    assert len(result) == 1\n    agent_ids = [a[\"agent_id\"] for a in result]\n    assert 1 in agent_ids, \"Agent 1 should be visible because user is the creator\"\n\n# Deprecated tests for mark_agents_as_new_impl have been removed as the API is cleaned up.\n"
  },
  {
    "path": "test/backend/services/test_agent_version_service.py",
    "content": "import sys\nimport pytest\nfrom unittest.mock import patch, MagicMock\nfrom contextlib import contextmanager\n\n# First mock the consts module to avoid ModuleNotFoundError\nconsts_mock = MagicMock()\nconsts_mock.const = MagicMock()\nconsts_mock.const.MINIO_ENDPOINT = \"http://localhost:9000\"\nconsts_mock.const.MINIO_ACCESS_KEY = \"test_access_key\"\nconsts_mock.const.MINIO_SECRET_KEY = \"test_secret_key\"\nconsts_mock.const.MINIO_REGION = \"us-east-1\"\nconsts_mock.const.MINIO_DEFAULT_BUCKET = \"test-bucket\"\nconsts_mock.const.POSTGRES_HOST = \"localhost\"\nconsts_mock.const.POSTGRES_USER = \"test_user\"\nconsts_mock.const.NEXENT_POSTGRES_PASSWORD = \"test_password\"\nconsts_mock.const.POSTGRES_DB = \"test_db\"\nconsts_mock.const.POSTGRES_PORT = 5432\nconsts_mock.const.DEFAULT_TENANT_ID = \"default_tenant\"\n\nsys.modules['consts'] = consts_mock\nsys.modules['consts.const'] = consts_mock.const\n\n# Mock utils module\nutils_mock = MagicMock()\nutils_mock.auth_utils = MagicMock()\nutils_mock.auth_utils.get_current_user_id_from_token = MagicMock(return_value=\"test_user_id\")\nutils_mock.str_utils = MagicMock()\nutils_mock.str_utils.convert_string_to_list = MagicMock(\n    side_effect=lambda s: [] if not s else [int(x) for x in str(s).split(\",\") if str(x).strip().isdigit()]\n)\n\nsys.modules['utils'] = utils_mock\nsys.modules['utils.auth_utils'] = utils_mock.auth_utils\nsys.modules['utils.str_utils'] = utils_mock.str_utils\n\n# Mock boto3\nboto3_mock = MagicMock()\nsys.modules['boto3'] = boto3_mock\n\n# Mock database.client\nclient_mock = MagicMock()\nclient_mock.MinioClient = MagicMock()\nclient_mock.PostgresClient = MagicMock()\nclient_mock.db_client = MagicMock()\nclient_mock.get_db_session = MagicMock()\nclient_mock.as_dict = MagicMock()\n\nsys.modules['database.client'] = client_mock\nsys.modules['backend.database.client'] = client_mock\n\n# Mock database.db_models\ndb_models_mock = MagicMock()\ndb_models_mock.AgentInfo = MagicMock()\ndb_models_mock.ToolInstance = MagicMock()\ndb_models_mock.AgentRelation = MagicMock()\ndb_models_mock.AgentVersion = MagicMock()\n\nsys.modules['database.db_models'] = db_models_mock\nsys.modules['backend.database.db_models'] = db_models_mock\n\n# Mock database.agent_version_db\nagent_version_db_mock = MagicMock()\nagent_version_db_mock.SOURCE_TYPE_NORMAL = \"NORMAL\"\nagent_version_db_mock.SOURCE_TYPE_ROLLBACK = \"ROLLBACK\"\nagent_version_db_mock.STATUS_RELEASED = \"RELEASED\"\nagent_version_db_mock.STATUS_DISABLED = \"DISABLED\"\nagent_version_db_mock.STATUS_ARCHIVED = \"ARCHIVED\"\n\nsys.modules['database.agent_version_db'] = agent_version_db_mock\nsys.modules['backend.database.agent_version_db'] = agent_version_db_mock\n\n# Mock database.model_management_db\nmodel_management_db_mock = MagicMock()\nsys.modules['database.model_management_db'] = model_management_db_mock\nsys.modules['backend.database.model_management_db'] = model_management_db_mock\n\n# Mock database.agent_db (for list_published_agents_impl)\nagent_db_mock = MagicMock()\nsys.modules['database.agent_db'] = agent_db_mock\nsys.modules['backend.database.agent_db'] = agent_db_mock\n\n# Mock services.agent_service (for list_published_agents_impl)\nagent_service_mock = MagicMock()\nagent_service_mock.CAN_EDIT_ALL_USER_ROLES = [\"ADMIN\", \"SUPER_ADMIN\"]\nagent_service_mock.PERMISSION_EDIT = \"EDIT\"\nagent_service_mock.PERMISSION_READ = \"READ\"\nsys.modules['services.agent_service'] = agent_service_mock\nsys.modules['backend.services.agent_service'] = agent_service_mock\n\n# Now import the service module\nimport backend.services.agent_version_service as agent_version_service_module\nfrom backend.services.agent_version_service import (\n    publish_version_impl,\n    get_version_list_impl,\n    get_version_impl,\n    get_version_detail_impl,\n    rollback_version_impl,\n    update_version_status_impl,\n    update_version_impl,\n    delete_version_impl,\n    get_current_version_impl,\n    compare_versions_impl,\n    list_published_agents_impl,\n    _check_version_snapshot_availability,\n    _get_version_detail_or_draft,\n    _remove_audit_fields_for_insert,\n)\n\n\n@pytest.fixture\ndef mock_agent_draft():\n    \"\"\"Mock agent draft data\"\"\"\n    return {\n        \"agent_id\": 1,\n        \"tenant_id\": \"tenant1\",\n        \"version_no\": 0,\n        \"name\": \"Test Agent\",\n        \"description\": \"Test Description\",\n        \"model_id\": 1,\n        \"business_logic_model_id\": 2,\n        \"max_steps\": 10,\n        \"duty_prompt\": \"Test prompt\",\n        \"group_ids\": \"1,2\",\n        \"create_time\": \"2023-01-01 12:00:00\",\n        \"update_time\": \"2023-01-01 12:00:00\",\n        \"created_by\": \"user1\",\n        \"updated_by\": \"user1\",\n        \"delete_flag\": \"N\",\n    }\n\n\n@pytest.fixture\ndef mock_tools_draft():\n    \"\"\"Mock tools draft data\"\"\"\n    return [\n        {\n            \"tool_instance_id\": 1,\n            \"tool_id\": 1,\n            \"agent_id\": 1,\n            \"tenant_id\": \"tenant1\",\n            \"version_no\": 0,\n            \"enabled\": True,\n        },\n        {\n            \"tool_instance_id\": 2,\n            \"tool_id\": 2,\n            \"agent_id\": 1,\n            \"tenant_id\": \"tenant1\",\n            \"version_no\": 0,\n            \"enabled\": True,\n        },\n    ]\n\n\n@pytest.fixture\ndef mock_relations_draft():\n    \"\"\"Mock relations draft data\"\"\"\n    return [\n        {\n            \"id\": 1,\n            \"parent_agent_id\": 1,\n            \"selected_agent_id\": 2,\n            \"tenant_id\": \"tenant1\",\n            \"version_no\": 0,\n        }\n    ]\n\n\ndef test_publish_version_impl_success(monkeypatch, mock_agent_draft, mock_tools_draft, mock_relations_draft):\n    \"\"\"Test successfully publishing a version\"\"\"\n    # Mock query_agent_draft - patch in service module\n    mock_query_draft = MagicMock(return_value=(mock_agent_draft, mock_tools_draft, mock_relations_draft))\n    monkeypatch.setattr(agent_version_service_module, \"query_agent_draft\", mock_query_draft)\n    \n    # Mock get_next_version_no\n    mock_get_next = MagicMock(return_value=1)\n    monkeypatch.setattr(agent_version_service_module, \"get_next_version_no\", mock_get_next)\n    \n    # Mock insert functions\n    mock_insert_agent = MagicMock()\n    monkeypatch.setattr(agent_version_service_module, \"insert_agent_snapshot\", mock_insert_agent)\n    mock_insert_tool = MagicMock()\n    monkeypatch.setattr(agent_version_service_module, \"insert_tool_snapshot\", mock_insert_tool)\n    mock_insert_relation = MagicMock()\n    monkeypatch.setattr(agent_version_service_module, \"insert_relation_snapshot\", mock_insert_relation)\n    \n    # Mock insert_version\n    mock_insert_version = MagicMock(return_value=100)\n    monkeypatch.setattr(agent_version_service_module, \"insert_version\", mock_insert_version)\n    \n    # Mock update_agent_current_version\n    mock_update_current = MagicMock()\n    monkeypatch.setattr(agent_version_service_module, \"update_agent_current_version\", mock_update_current)\n    \n    result = publish_version_impl(\n        agent_id=1,\n        tenant_id=\"tenant1\",\n        user_id=\"user1\",\n        version_name=\"v1.0\",\n        release_note=\"Initial release\",\n    )\n    \n    assert result[\"version_no\"] == 1\n    assert result[\"id\"] == 100\n    assert \"message\" in result\n    mock_insert_agent.assert_called_once()\n    assert mock_insert_tool.call_count == 2\n    assert mock_insert_relation.call_count == 1\n\n\ndef test_publish_version_impl_no_draft(monkeypatch):\n    \"\"\"Test publishing when draft doesn't exist\"\"\"\n    mock_query_draft = MagicMock(return_value=(None, [], []))\n    monkeypatch.setattr(agent_version_service_module, \"query_agent_draft\", mock_query_draft)\n    \n    with pytest.raises(ValueError, match=\"Agent draft not found\"):\n        publish_version_impl(\n            agent_id=1,\n            tenant_id=\"tenant1\",\n            user_id=\"user1\",\n        )\n\n\ndef test_publish_version_impl_with_rollback_source(monkeypatch, mock_agent_draft, mock_tools_draft, mock_relations_draft):\n    \"\"\"Test publishing a version with rollback source type\"\"\"\n    mock_query_draft = MagicMock(return_value=(mock_agent_draft, mock_tools_draft, mock_relations_draft))\n    monkeypatch.setattr(agent_version_service_module, \"query_agent_draft\", mock_query_draft)\n    mock_get_next = MagicMock(return_value=2)\n    monkeypatch.setattr(agent_version_service_module, \"get_next_version_no\", mock_get_next)\n    mock_insert_agent = MagicMock()\n    monkeypatch.setattr(agent_version_service_module, \"insert_agent_snapshot\", mock_insert_agent)\n    mock_insert_tool = MagicMock()\n    monkeypatch.setattr(agent_version_service_module, \"insert_tool_snapshot\", mock_insert_tool)\n    mock_insert_relation = MagicMock()\n    monkeypatch.setattr(agent_version_service_module, \"insert_relation_snapshot\", mock_insert_relation)\n    mock_insert_version = MagicMock(return_value=101)\n    monkeypatch.setattr(agent_version_service_module, \"insert_version\", mock_insert_version)\n    mock_update_current = MagicMock()\n    monkeypatch.setattr(agent_version_service_module, \"update_agent_current_version\", mock_update_current)\n    \n    result = publish_version_impl(\n        agent_id=1,\n        tenant_id=\"tenant1\",\n        user_id=\"user1\",\n        source_type=\"ROLLBACK\",\n        source_version_no=1,\n    )\n    \n    assert result[\"version_no\"] == 2\n    # Verify insert_version was called with correct source_type\n    call_args = mock_insert_version.call_args[0][0]\n    assert call_args[\"source_type\"] == \"ROLLBACK\"\n    assert call_args[\"source_version_no\"] == 1\n\n\ndef test_get_version_list_impl_success(monkeypatch):\n    \"\"\"Test successfully getting version list\"\"\"\n    mock_versions = [\n        {\"version_no\": 2, \"version_name\": \"v2.0\"},\n        {\"version_no\": 1, \"version_name\": \"v1.0\"},\n    ]\n    mock_query_list = MagicMock(return_value=mock_versions)\n    monkeypatch.setattr(agent_version_service_module, \"query_version_list\", mock_query_list)\n    \n    result = get_version_list_impl(agent_id=1, tenant_id=\"tenant1\")\n    \n    assert result[\"total\"] == 2\n    assert len(result[\"items\"]) == 2\n    assert result[\"items\"][0][\"version_no\"] == 2\n\n\ndef test_get_version_list_impl_empty(monkeypatch):\n    \"\"\"Test getting version list when no versions exist\"\"\"\n    mock_query_list = MagicMock(return_value=[])\n    monkeypatch.setattr(agent_version_service_module, \"query_version_list\", mock_query_list)\n    \n    result = get_version_list_impl(agent_id=1, tenant_id=\"tenant1\")\n    \n    assert result[\"total\"] == 0\n    assert result[\"items\"] == []\n\n\ndef test_get_version_impl_success(monkeypatch):\n    \"\"\"Test successfully getting a version\"\"\"\n    mock_version = {\n        \"version_no\": 1,\n        \"version_name\": \"v1.0\",\n        \"status\": \"RELEASED\",\n    }\n    mock_search = MagicMock(return_value=mock_version)\n    monkeypatch.setattr(agent_version_service_module, \"search_version_by_version_no\", mock_search)\n    \n    result = get_version_impl(agent_id=1, tenant_id=\"tenant1\", version_no=1)\n    \n    assert result[\"version_no\"] == 1\n    assert result[\"version_name\"] == \"v1.0\"\n\n\ndef test_get_version_detail_impl_success(monkeypatch):\n    \"\"\"Test successfully getting version detail\"\"\"\n    mock_version = {\n        \"version_no\": 1,\n        \"version_name\": \"v1.0\",\n        \"status\": \"RELEASED\",\n        \"release_note\": \"Test note\",\n        \"source_type\": \"NORMAL\",\n        \"source_version_no\": None,\n    }\n    \n    mock_agent_snapshot = {\n        \"agent_id\": 1,\n        \"name\": \"Test Agent\",\n        \"model_id\": 1,\n        \"business_logic_model_id\": 2,\n        \"max_steps\": 10,\n        \"description\": \"Test\",\n        \"duty_prompt\": \"Test prompt\",\n        \"group_ids\": \"1,2\",\n    }\n    \n    mock_tools_snapshot = [\n        {\"tool_id\": 1, \"enabled\": True},\n        {\"tool_id\": 2, \"enabled\": True},\n    ]\n    \n    mock_relations_snapshot = [\n        {\"selected_agent_id\": 2},\n    ]\n    \n    mock_search = MagicMock(return_value=mock_version)\n    monkeypatch.setattr(agent_version_service_module, \"search_version_by_version_no\", mock_search)\n    mock_query_snapshot = MagicMock(\n        return_value=(mock_agent_snapshot, mock_tools_snapshot, mock_relations_snapshot)\n    )\n    monkeypatch.setattr(agent_version_service_module, \"query_agent_snapshot\", mock_query_snapshot)\n    \n    mock_model_info = {\"display_name\": \"Test Model\"}\n    mock_get_model = MagicMock(return_value=mock_model_info)\n    monkeypatch.setattr(agent_version_service_module, \"get_model_by_model_id\", mock_get_model)\n    \n    result = get_version_detail_impl(agent_id=1, tenant_id=\"tenant1\", version_no=1)\n    \n    assert result[\"name\"] == \"Test Agent\"\n    assert result[\"version\"][\"version_name\"] == \"v1.0\"\n    assert len(result[\"tools\"]) == 2\n    assert result[\"sub_agent_id_list\"] == [2]\n    assert result[\"model_name\"] == \"Test Model\"\n    assert \"is_available\" in result\n    assert \"unavailable_reasons\" in result\n\n\ndef test_get_version_detail_impl_version_not_found(monkeypatch):\n    \"\"\"Test getting version detail when version doesn't exist\"\"\"\n    mock_search = MagicMock(return_value=None)\n    monkeypatch.setattr(agent_version_service_module, \"search_version_by_version_no\", mock_search)\n    \n    with pytest.raises(ValueError, match=\"Version 1 not found\"):\n        get_version_detail_impl(agent_id=1, tenant_id=\"tenant1\", version_no=1)\n\n\ndef test_get_version_detail_impl_snapshot_not_found(monkeypatch):\n    \"\"\"Test getting version detail when snapshot doesn't exist\"\"\"\n    mock_version = {\"version_no\": 1}\n    mock_search = MagicMock(return_value=mock_version)\n    monkeypatch.setattr(agent_version_service_module, \"search_version_by_version_no\", mock_search)\n    mock_query_snapshot = MagicMock(return_value=(None, [], []))\n    monkeypatch.setattr(agent_version_service_module, \"query_agent_snapshot\", mock_query_snapshot)\n    \n    with pytest.raises(ValueError, match=\"Agent snapshot for version 1 not found\"):\n        get_version_detail_impl(agent_id=1, tenant_id=\"tenant1\", version_no=1)\n\n\ndef test_rollback_version_impl_success(monkeypatch):\n    \"\"\"Test successfully rolling back to a version\"\"\"\n    mock_version = {\n        \"version_no\": 1,\n        \"version_name\": \"v1.0\",\n    }\n    mock_search = MagicMock(return_value=mock_version)\n    monkeypatch.setattr(agent_version_service_module, \"search_version_by_version_no\", mock_search)\n    mock_update_current = MagicMock(return_value=1)\n    monkeypatch.setattr(agent_version_service_module, \"update_agent_current_version\", mock_update_current)\n    \n    result = rollback_version_impl(\n        agent_id=1,\n        tenant_id=\"tenant1\",\n        target_version_no=1,\n    )\n    \n    assert result[\"version_no\"] == 1\n    assert \"Successfully rolled back\" in result[\"message\"]\n    mock_update_current.assert_called_once()\n\n\ndef test_rollback_version_impl_version_not_found(monkeypatch):\n    \"\"\"Test rolling back when version doesn't exist\"\"\"\n    mock_search = MagicMock(return_value=None)\n    monkeypatch.setattr(agent_version_service_module, \"search_version_by_version_no\", mock_search)\n    \n    with pytest.raises(ValueError, match=\"Version 999 not found\"):\n        rollback_version_impl(\n            agent_id=1,\n            tenant_id=\"tenant1\",\n            target_version_no=999,\n        )\n\n\ndef test_rollback_version_impl_draft_not_found(monkeypatch):\n    \"\"\"Test rolling back when draft doesn't exist\"\"\"\n    mock_version = {\"version_no\": 1}\n    mock_search = MagicMock(return_value=mock_version)\n    monkeypatch.setattr(agent_version_service_module, \"search_version_by_version_no\", mock_search)\n    mock_update_current = MagicMock(return_value=0)\n    monkeypatch.setattr(agent_version_service_module, \"update_agent_current_version\", mock_update_current)\n    \n    with pytest.raises(ValueError, match=\"Agent draft not found\"):\n        rollback_version_impl(\n            agent_id=1,\n            tenant_id=\"tenant1\",\n            target_version_no=1,\n        )\n\n\ndef test_update_version_status_impl_success(monkeypatch):\n    \"\"\"Test successfully updating version status\"\"\"\n    mock_update_status = MagicMock(return_value=1)\n    monkeypatch.setattr(agent_version_service_module, \"update_version_status\", mock_update_status)\n    \n    result = update_version_status_impl(\n        agent_id=1,\n        tenant_id=\"tenant1\",\n        user_id=\"user1\",\n        version_no=1,\n        status=\"DISABLED\",\n    )\n    \n    assert \"message\" in result\n    mock_update_status.assert_called_once()\n\n\ndef test_update_version_status_impl_invalid_status(monkeypatch):\n    \"\"\"Test updating status with invalid status value\"\"\"\n    with pytest.raises(ValueError, match=\"Invalid status\"):\n        update_version_status_impl(\n            agent_id=1,\n            tenant_id=\"tenant1\",\n            user_id=\"user1\",\n            version_no=1,\n            status=\"INVALID\",\n        )\n\n\ndef test_update_version_status_impl_not_found(monkeypatch):\n    \"\"\"Test updating status when version doesn't exist\"\"\"\n    mock_update_status = MagicMock(return_value=0)\n    monkeypatch.setattr(agent_version_service_module, \"update_version_status\", mock_update_status)\n    \n    with pytest.raises(ValueError, match=\"Version 999 not found\"):\n        update_version_status_impl(\n            agent_id=1,\n            tenant_id=\"tenant1\",\n            user_id=\"user1\",\n            version_no=999,\n            status=\"DISABLED\",\n        )\n\n\ndef test_update_version_impl_success(monkeypatch):\n    \"\"\"Test successfully updating version metadata\"\"\"\n    mock_version = {\"version_no\": 1, \"version_name\": \"v1.0\"}\n    mock_search = MagicMock(return_value=mock_version)\n    monkeypatch.setattr(agent_version_service_module, \"search_version_by_version_no\", mock_search)\n    mock_update = MagicMock(return_value=1)\n    monkeypatch.setattr(agent_version_service_module, \"update_version\", mock_update)\n\n    result = update_version_impl(\n        agent_id=1,\n        tenant_id=\"tenant1\",\n        user_id=\"user1\",\n        version_no=1,\n        version_name=\"Updated Version Name\",\n        release_note=\"Updated release note\",\n    )\n\n    assert \"message\" in result\n    assert result[\"version_no\"] == 1\n    mock_update.assert_called_once()\n\n\ndef test_update_version_impl_version_not_found(monkeypatch):\n    \"\"\"Test updating version when version doesn't exist\"\"\"\n    mock_search = MagicMock(return_value=None)\n    monkeypatch.setattr(agent_version_service_module, \"search_version_by_version_no\", mock_search)\n\n    with pytest.raises(ValueError, match=\"Version 999 not found\"):\n        update_version_impl(\n            agent_id=1,\n            tenant_id=\"tenant1\",\n            user_id=\"user1\",\n            version_no=999,\n            version_name=\"Non-existent version\",\n        )\n\n\ndef test_update_version_impl_no_changes(monkeypatch):\n    \"\"\"Test updating version with no actual changes\"\"\"\n    mock_version = {\"version_no\": 1, \"version_name\": \"v1.0\"}\n    mock_search = MagicMock(return_value=mock_version)\n    monkeypatch.setattr(agent_version_service_module, \"search_version_by_version_no\", mock_search)\n    mock_update = MagicMock(return_value=0)\n    monkeypatch.setattr(agent_version_service_module, \"update_version\", mock_update)\n\n    with pytest.raises(ValueError, match=\"No changes to update\"):\n        update_version_impl(\n            agent_id=1,\n            tenant_id=\"tenant1\",\n            user_id=\"user1\",\n            version_no=1,\n        )\n\n\ndef test_delete_version_impl_success(monkeypatch):\n    \"\"\"Test successfully deleting a version\"\"\"\n    mock_version = {\"version_no\": 2}\n    mock_search = MagicMock(return_value=mock_version)\n    monkeypatch.setattr(agent_version_service_module, \"search_version_by_version_no\", mock_search)\n    mock_query_current = MagicMock(return_value=3)\n    monkeypatch.setattr(agent_version_service_module, \"query_current_version_no\", mock_query_current)\n    mock_delete_version = MagicMock(return_value=1)\n    monkeypatch.setattr(agent_version_service_module, \"delete_version\", mock_delete_version)\n    mock_delete_agent = MagicMock(return_value=1)\n    monkeypatch.setattr(agent_version_service_module, \"delete_agent_snapshot\", mock_delete_agent)\n    mock_delete_tool = MagicMock(return_value=2)\n    monkeypatch.setattr(agent_version_service_module, \"delete_tool_snapshot\", mock_delete_tool)\n    mock_delete_relation = MagicMock(return_value=1)\n    monkeypatch.setattr(agent_version_service_module, \"delete_relation_snapshot\", mock_delete_relation)\n    \n    result = delete_version_impl(\n        agent_id=1,\n        tenant_id=\"tenant1\",\n        user_id=\"user1\",\n        version_no=2,\n    )\n    \n    assert \"deleted successfully\" in result[\"message\"]\n    mock_delete_version.assert_called_once()\n    mock_delete_agent.assert_called_once()\n    mock_delete_tool.assert_called_once()\n    mock_delete_relation.assert_called_once()\n\n\ndef test_delete_version_impl_version_not_found(monkeypatch):\n    \"\"\"Test deleting when version doesn't exist\"\"\"\n    mock_search = MagicMock(return_value=None)\n    monkeypatch.setattr(agent_version_service_module, \"search_version_by_version_no\", mock_search)\n    \n    with pytest.raises(ValueError, match=\"Version 999 not found\"):\n        delete_version_impl(\n            agent_id=1,\n            tenant_id=\"tenant1\",\n            user_id=\"user1\",\n            version_no=999,\n        )\n\n\ndef test_delete_version_impl_current_version(monkeypatch):\n    \"\"\"Test deleting current published version (should fail)\"\"\"\n    mock_version = {\"version_no\": 1}\n    mock_search = MagicMock(return_value=mock_version)\n    monkeypatch.setattr(agent_version_service_module, \"search_version_by_version_no\", mock_search)\n    mock_query_current = MagicMock(return_value=1)\n    monkeypatch.setattr(agent_version_service_module, \"query_current_version_no\", mock_query_current)\n    \n    with pytest.raises(ValueError, match=\"Cannot delete the current published version\"):\n        delete_version_impl(\n            agent_id=1,\n            tenant_id=\"tenant1\",\n            user_id=\"user1\",\n            version_no=1,\n        )\n\n\ndef test_delete_version_impl_draft_version(monkeypatch):\n    \"\"\"Test deleting draft version (should fail)\"\"\"\n    mock_version = {\"version_no\": 0}\n    mock_search = MagicMock(return_value=mock_version)\n    monkeypatch.setattr(agent_version_service_module, \"search_version_by_version_no\", mock_search)\n    \n    with pytest.raises(ValueError, match=\"Cannot delete draft version\"):\n        delete_version_impl(\n            agent_id=1,\n            tenant_id=\"tenant1\",\n            user_id=\"user1\",\n            version_no=0,\n        )\n\n\ndef test_get_current_version_impl_success(monkeypatch):\n    \"\"\"Test successfully getting current version\"\"\"\n    mock_query_current = MagicMock(return_value=5)\n    monkeypatch.setattr(agent_version_service_module, \"query_current_version_no\", mock_query_current)\n    mock_version = {\n        \"version_no\": 5,\n        \"version_name\": \"v5.0\",\n        \"status\": \"RELEASED\",\n        \"source_type\": \"NORMAL\",\n        \"source_version_no\": None,\n        \"release_note\": \"Test note\",\n        \"created_by\": \"user1\",\n        \"create_time\": \"2023-01-01 12:00:00\",\n    }\n    mock_search = MagicMock(return_value=mock_version)\n    monkeypatch.setattr(agent_version_service_module, \"search_version_by_version_no\", mock_search)\n    \n    result = get_current_version_impl(agent_id=1, tenant_id=\"tenant1\")\n    \n    assert result[\"version_no\"] == 5\n    assert result[\"version_name\"] == \"v5.0\"\n    assert result[\"status\"] == \"RELEASED\"\n\n\ndef test_get_current_version_impl_no_published_version(monkeypatch):\n    \"\"\"Test getting current version when none exists\"\"\"\n    mock_query_current = MagicMock(return_value=None)\n    monkeypatch.setattr(agent_version_service_module, \"query_current_version_no\", mock_query_current)\n    \n    with pytest.raises(ValueError, match=\"No published version\"):\n        get_current_version_impl(agent_id=1, tenant_id=\"tenant1\")\n\n\ndef test_get_current_version_impl_version_not_found(monkeypatch):\n    \"\"\"Test getting current version when version metadata doesn't exist\"\"\"\n    mock_query_current = MagicMock(return_value=5)\n    monkeypatch.setattr(agent_version_service_module, \"query_current_version_no\", mock_query_current)\n    mock_search = MagicMock(return_value=None)\n    monkeypatch.setattr(agent_version_service_module, \"search_version_by_version_no\", mock_search)\n    \n    with pytest.raises(ValueError, match=\"Version 5 not found\"):\n        get_current_version_impl(agent_id=1, tenant_id=\"tenant1\")\n\n\ndef test_compare_versions_impl_success(monkeypatch):\n    \"\"\"Test successfully comparing two versions\"\"\"\n    # Mock _get_version_detail_or_draft\n    version_a = {\n        \"name\": \"Agent A\",\n        \"model_name\": \"Model A\",\n        \"max_steps\": 10,\n        \"description\": \"Desc A\",\n        \"duty_prompt\": \"Prompt A\",\n        \"tools\": [{\"tool_id\": 1}],\n        \"sub_agent_id_list\": [2],\n    }\n    version_b = {\n        \"name\": \"Agent B\",\n        \"model_name\": \"Model B\",\n        \"max_steps\": 20,\n        \"description\": \"Desc B\",\n        \"duty_prompt\": \"Prompt B\",\n        \"tools\": [{\"tool_id\": 1}, {\"tool_id\": 2}],\n        \"sub_agent_id_list\": [2, 3],\n    }\n    \n    with patch('backend.services.agent_version_service._get_version_detail_or_draft') as mock_get_detail:\n        mock_get_detail.side_effect = [version_a, version_b]\n        \n        result = compare_versions_impl(\n            agent_id=1,\n            tenant_id=\"tenant1\",\n            version_no_a=1,\n            version_no_b=2,\n        )\n        \n        assert \"version_a\" in result\n        assert \"version_b\" in result\n        assert \"differences\" in result\n        assert len(result[\"differences\"]) > 0\n        # Check that differences are detected\n        difference_fields = [d[\"field\"] for d in result[\"differences\"]]\n        assert \"name\" in difference_fields\n        assert \"model_name\" in difference_fields\n        assert \"max_steps\" in difference_fields\n        assert \"tools_count\" in difference_fields\n\n\ndef test_compare_versions_impl_no_differences(monkeypatch):\n    \"\"\"Test comparing identical versions\"\"\"\n    version = {\n        \"name\": \"Same Agent\",\n        \"model_name\": \"Same Model\",\n        \"max_steps\": 10,\n        \"description\": \"Same Desc\",\n        \"duty_prompt\": \"Same Prompt\",\n        \"tools\": [{\"tool_id\": 1}],\n        \"sub_agent_id_list\": [2],\n    }\n    \n    with patch('backend.services.agent_version_service._get_version_detail_or_draft') as mock_get_detail:\n        mock_get_detail.side_effect = [version, version]\n        \n        result = compare_versions_impl(\n            agent_id=1,\n            tenant_id=\"tenant1\",\n            version_no_a=1,\n            version_no_b=2,\n        )\n        \n        assert len(result[\"differences\"]) == 0\n\n\ndef test_check_version_snapshot_availability_success():\n    \"\"\"Test checking availability when agent is available\"\"\"\n    agent_info = {\n        \"model_id\": 1,\n    }\n    tool_instances = [\n        {\"tool_id\": 1, \"enabled\": True},\n    ]\n    \n    is_available, reasons = _check_version_snapshot_availability(\n        agent_id=1,\n        tenant_id=\"tenant1\",\n        agent_info=agent_info,\n        tool_instances=tool_instances,\n    )\n    \n    assert is_available is True\n    assert len(reasons) == 0\n\n\ndef test_check_version_snapshot_availability_no_agent():\n    \"\"\"Test checking availability when agent doesn't exist\"\"\"\n    is_available, reasons = _check_version_snapshot_availability(\n        agent_id=1,\n        tenant_id=\"tenant1\",\n        agent_info=None,\n        tool_instances=[],\n    )\n    \n    assert is_available is False\n    assert \"agent_not_found\" in reasons\n\n\ndef test_check_version_snapshot_availability_no_model():\n    \"\"\"Test checking availability when model is not configured\"\"\"\n    agent_info = {\n        \"model_id\": None,\n    }\n    tool_instances = [{\"tool_id\": 1, \"enabled\": True}]\n    \n    is_available, reasons = _check_version_snapshot_availability(\n        agent_id=1,\n        tenant_id=\"tenant1\",\n        agent_info=agent_info,\n        tool_instances=tool_instances,\n    )\n    \n    assert is_available is False\n    assert \"model_not_configured\" in reasons\n\n\ndef test_check_version_snapshot_availability_no_tools():\n    \"\"\"Test checking availability when no tools exist\"\"\"\n    agent_info = {\"model_id\": 1}\n    \n    is_available, reasons = _check_version_snapshot_availability(\n        agent_id=1,\n        tenant_id=\"tenant1\",\n        agent_info=agent_info,\n        tool_instances=[],\n    )\n    \n    assert is_available is False\n    assert \"no_tools\" in reasons\n\n\ndef test_check_version_snapshot_availability_all_tools_disabled():\n    \"\"\"Test checking availability when all tools are disabled\"\"\"\n    agent_info = {\"model_id\": 1}\n    tool_instances = [\n        {\"tool_id\": 1, \"enabled\": False},\n        {\"tool_id\": 2, \"enabled\": False},\n    ]\n    \n    is_available, reasons = _check_version_snapshot_availability(\n        agent_id=1,\n        tenant_id=\"tenant1\",\n        agent_info=agent_info,\n        tool_instances=tool_instances,\n    )\n    \n    assert is_available is False\n    assert \"all_tools_disabled\" in reasons\n\n\ndef test_get_version_detail_or_draft_draft_version(monkeypatch):\n    \"\"\"Test getting draft version detail\"\"\"\n    mock_agent_draft = {\n        \"agent_id\": 1,\n        \"name\": \"Draft Agent\",\n        \"model_id\": 1,\n        \"business_logic_model_id\": 2,\n        \"group_ids\": \"1,2\",\n    }\n    mock_tools_draft = [{\"tool_id\": 1}]\n    mock_relations_draft = [{\"selected_agent_id\": 2}]\n    \n    mock_query_draft = MagicMock(\n        return_value=(mock_agent_draft, mock_tools_draft, mock_relations_draft)\n    )\n    monkeypatch.setattr(agent_version_service_module, \"query_agent_draft\", mock_query_draft)\n    mock_get_model = MagicMock(return_value={\"display_name\": \"Test Model\"})\n    monkeypatch.setattr(agent_version_service_module, \"get_model_by_model_id\", mock_get_model)\n    \n    result = _get_version_detail_or_draft(agent_id=1, tenant_id=\"tenant1\", version_no=0)\n    \n    assert result[\"name\"] == \"Draft Agent\"\n    assert result[\"version\"][\"version_name\"] == \"Draft\"\n    assert result[\"version\"][\"version_status\"] == \"DRAFT\"\n    assert len(result[\"tools\"]) == 1\n    assert result[\"sub_agent_id_list\"] == [2]\n\n\ndef test_get_version_detail_or_draft_published_version(monkeypatch):\n    \"\"\"Test getting published version detail\"\"\"\n    mock_version_detail = {\n        \"name\": \"Published Agent\",\n        \"version\": {\"version_name\": \"v1.0\"},\n        \"model_id\": 1,\n        \"business_logic_model_id\": 2,\n        \"group_ids\": \"1,2\",\n    }\n    \n    with patch('backend.services.agent_version_service.get_version_detail_impl') as mock_get_detail:\n        mock_get_detail.return_value = mock_version_detail\n        model_management_db_mock.get_model_by_model_id = MagicMock(return_value={\"display_name\": \"Test Model\"})\n        \n        result = _get_version_detail_or_draft(agent_id=1, tenant_id=\"tenant1\", version_no=1)\n        \n        assert result[\"name\"] == \"Published Agent\"\n        assert result[\"version\"][\"version_name\"] == \"v1.0\"\n\n\ndef test_remove_audit_fields_for_insert():\n    \"\"\"Test removing audit fields from data dict\"\"\"\n    data = {\n        \"name\": \"Test\",\n        \"create_time\": \"2023-01-01\",\n        \"update_time\": \"2023-01-02\",\n        \"created_by\": \"user1\",\n        \"updated_by\": \"user2\",\n        \"delete_flag\": \"N\",\n        \"other_field\": \"keep\",\n    }\n    \n    _remove_audit_fields_for_insert(data)\n    \n    assert \"name\" in data\n    assert \"other_field\" in data\n    assert \"create_time\" not in data\n    assert \"update_time\" not in data\n    assert \"created_by\" not in data\n    assert \"updated_by\" not in data\n    assert \"delete_flag\" not in data\n\n\ndef test_list_published_agents_impl_success(monkeypatch):\n    \"\"\"Test successfully listing published agents\"\"\"\n    # Mock dependencies\n    agent_db_mock.query_all_agent_info_by_tenant_id = MagicMock(\n        return_value=[\n            {\n                \"agent_id\": 1,\n                \"enabled\": True,\n                \"current_version_no\": 1,\n                \"group_ids\": \"1,2\",\n                \"created_by\": \"user1\",\n            }\n        ]\n    )\n    \n    agent_service_mock.get_user_tenant_by_user_id = MagicMock(\n        return_value={\"user_role\": \"ADMIN\"}\n    )\n    agent_service_mock.query_group_ids_by_user = MagicMock(return_value=[1, 2])\n    \n    agent_version_db_mock.query_agent_snapshot = MagicMock(\n        return_value=(\n            {\n                \"agent_id\": 1,\n                \"name\": \"Test Agent\",\n                \"model_id\": 1,\n                \"description\": \"Test\",\n            },\n            [{\"tool_id\": 1, \"enabled\": True}],\n            [],\n        )\n    )\n    \n    agent_service_mock.check_agent_availability = MagicMock(\n        return_value=(True, [])\n    )\n    agent_service_mock._apply_duplicate_name_availability_rules = MagicMock()\n    model_management_db_mock.get_model_by_model_id = MagicMock(\n        return_value={\"display_name\": \"Test Model\", \"model_name\": \"test_model\"}\n    )\n    \n    import asyncio\n    result = asyncio.run(list_published_agents_impl(tenant_id=\"tenant1\", user_id=\"user1\"))\n    \n    assert len(result) == 1\n    assert result[0][\"agent_id\"] == 1\n    assert result[0][\"name\"] == \"Test Agent\"\n\n\ndef test_list_published_agents_impl_no_published_version(monkeypatch):\n    \"\"\"Test listing when agent has no published version\"\"\"\n    agent_db_mock.query_all_agent_info_by_tenant_id = MagicMock(\n        return_value=[\n            {\n                \"agent_id\": 1,\n                \"enabled\": True,\n                \"current_version_no\": None,  # No published version\n                \"group_ids\": \"1,2\",\n            }\n        ]\n    )\n    \n    agent_service_mock.get_user_tenant_by_user_id = MagicMock(\n        return_value={\"user_role\": \"ADMIN\"}\n    )\n    \n    import asyncio\n    result = asyncio.run(list_published_agents_impl(tenant_id=\"tenant1\", user_id=\"user1\"))\n    \n    assert len(result) == 0  # Should be filtered out\n\n\ndef test_list_published_agents_impl_disabled_agent(monkeypatch):\n    \"\"\"Test listing when agent is disabled\"\"\"\n    agent_db_mock.query_all_agent_info_by_tenant_id = MagicMock(\n        return_value=[\n            {\n                \"agent_id\": 1,\n                \"enabled\": False,  # Disabled\n                \"current_version_no\": 1,\n                \"group_ids\": \"1,2\",\n            }\n        ]\n    )\n    \n    agent_service_mock.get_user_tenant_by_user_id = MagicMock(\n        return_value={\"user_role\": \"ADMIN\"}\n    )\n    \n    import asyncio\n    result = asyncio.run(list_published_agents_impl(tenant_id=\"tenant1\", user_id=\"user1\"))\n    \n    assert len(result) == 0  # Should be filtered out\n\n\n@pytest.mark.asyncio\nasync def test_list_published_agents_impl_exception_handling(monkeypatch):\n    \"\"\"Test exception handling in list_published_agents_impl (covers lines 742-744)\"\"\"\n    # Mock query_all_agent_info_by_tenant_id to raise an exception\n    test_exception = RuntimeError(\"Database connection failed\")\n    agent_db_mock.query_all_agent_info_by_tenant_id = MagicMock(\n        side_effect=test_exception\n    )\n    \n    # Mock get_user_tenant_by_user_id to avoid early exception\n    agent_service_mock.get_user_tenant_by_user_id = MagicMock(\n        return_value={\"user_role\": \"ADMIN\"}\n    )\n    \n    # Verify that the exception is caught and re-raised as ValueError\n    with pytest.raises(ValueError, match=\"Failed to list published agents: Database connection failed\"):\n        await list_published_agents_impl(tenant_id=\"tenant1\", user_id=\"user1\")"
  },
  {
    "path": "test/backend/services/test_config_sync_service.py",
    "content": "import sys\nfrom unittest.mock import patch, MagicMock, call\n\nimport pytest\n\n# Patch boto3 and other dependencies before importing anything from backend\nboto3_mock = MagicMock()\nsys.modules['boto3'] = boto3_mock\n\n# Apply critical patches before importing any modules\n# This prevents real AWS/MinIO/Elasticsearch calls during import\npatch('botocore.client.BaseClient._make_api_call', return_value={}).start()\n\n# Patch storage factory and MinIO config validation to avoid errors during initialization\n# These patches must be started before any imports that use MinioClient\nstorage_client_mock = MagicMock()\nminio_client_mock = MagicMock()\nminio_client_mock._ensure_bucket_exists = MagicMock()\nminio_client_mock.client = MagicMock()\n\n# Mock the entire MinIOStorageConfig class to avoid validation\nminio_config_mock = MagicMock()\nminio_config_mock.validate = MagicMock()\n\npatch('nexent.storage.storage_client_factory.create_storage_client_from_config',\n      return_value=storage_client_mock).start()\npatch('nexent.storage.minio_config.MinIOStorageConfig',\n      return_value=minio_config_mock).start()\npatch('backend.database.client.MinioClient',\n      return_value=minio_client_mock).start()\npatch('database.client.MinioClient', return_value=minio_client_mock).start()\npatch('backend.database.client.minio_client', minio_client_mock).start()\npatch('elasticsearch.Elasticsearch', return_value=MagicMock()).start()\n\n# Import backend modules after all patches are applied\n# Use additional context manager to ensure MinioClient is properly mocked during import\nwith patch('backend.database.client.MinioClient', return_value=minio_client_mock), \\\n        patch('nexent.storage.minio_config.MinIOStorageConfig', return_value=minio_config_mock):\n    from backend.services.config_sync_service import (\n        handle_model_config,\n        save_config_impl,\n        load_config_impl,\n        build_models_config,\n        build_app_config,\n        build_model_config\n    )\n\n\n@pytest.fixture\ndef service_mocks():\n    \"\"\"Create mocks for service layer dependencies\"\"\"\n    with patch('backend.services.config_sync_service.tenant_config_manager') as mock_tenant_config_manager, \\\n            patch('backend.services.config_sync_service.get_env_key') as mock_get_env_key, \\\n            patch('backend.services.config_sync_service.safe_value') as mock_safe_value, \\\n            patch('backend.services.config_sync_service.get_model_id_by_display_name') as mock_get_model_id, \\\n            patch('backend.services.config_sync_service.get_model_name_from_config') as mock_get_model_name, \\\n            patch('backend.services.config_sync_service.logger') as mock_logger:\n\n        yield {\n            'tenant_config_manager': mock_tenant_config_manager,\n            'get_env_key': mock_get_env_key,\n            'safe_value': mock_safe_value,\n            'get_model_id': mock_get_model_id,\n            'get_model_name': mock_get_model_name,\n            'logger': mock_logger\n        }\n\n\nclass TestHandleModelConfig:\n    \"\"\"Test cases for handle_model_config function\"\"\"\n\n    def test_handle_model_config_zero_sets(self, service_mocks):\n        \"\"\"Test handle_model_config when model_id is 0 and config exists (delete then set)\"\"\"\n        # Setup\n        tenant_id = \"test_tenant_id\"\n        user_id = \"test_user_id\"\n        config_key = \"LLM_ID\"\n        model_id = 0\n        tenant_config_dict = {\"LLM_ID\": \"123\"}\n\n        # Execute\n        handle_model_config(tenant_id, user_id, config_key,\n                            model_id, tenant_config_dict)\n\n        # Assert\n        service_mocks['tenant_config_manager'].delete_single_config.assert_called_once_with(\n            tenant_id, config_key)\n        service_mocks['tenant_config_manager'].set_single_config.assert_called_once_with(\n            user_id, tenant_id, config_key, model_id\n        )\n\n    def test_handle_model_config_update_same_value(self, service_mocks):\n        \"\"\"Test handle_model_config when model_id is same as existing\"\"\"\n        # Setup\n        tenant_id = \"test_tenant_id\"\n        user_id = \"test_user_id\"\n        config_key = \"LLM_ID\"\n        model_id = 123\n        tenant_config_dict = {\"LLM_ID\": \"123\"}\n\n        # Execute\n        handle_model_config(tenant_id, user_id, config_key,\n                            model_id, tenant_config_dict)\n\n        # Assert\n        service_mocks['tenant_config_manager'].update_single_config.assert_called_once_with(\n            tenant_id, config_key)\n        service_mocks['tenant_config_manager'].delete_single_config.assert_not_called()\n        service_mocks['tenant_config_manager'].set_single_config.assert_not_called()\n\n    def test_handle_model_config_update_different_value(self, service_mocks):\n        \"\"\"Test handle_model_config when model_id is different from existing\"\"\"\n        # Setup\n        tenant_id = \"test_tenant_id\"\n        user_id = \"test_user_id\"\n        config_key = \"LLM_ID\"\n        model_id = 456\n        tenant_config_dict = {\"LLM_ID\": \"123\"}\n\n        # Execute\n        handle_model_config(tenant_id, user_id, config_key,\n                            model_id, tenant_config_dict)\n\n        # Assert\n        service_mocks['tenant_config_manager'].delete_single_config.assert_called_once_with(\n            tenant_id, config_key)\n        service_mocks['tenant_config_manager'].set_single_config.assert_called_once_with(\n            user_id, tenant_id, config_key, model_id\n        )\n\n    def test_handle_model_config_non_int_value(self, service_mocks):\n        \"\"\"Test handle_model_config when existing value is not an int\"\"\"\n        # Setup\n        tenant_id = \"test_tenant_id\"\n        user_id = \"test_user_id\"\n        config_key = \"LLM_ID\"\n        model_id = 456\n        tenant_config_dict = {\"LLM_ID\": \"not-an-int\"}\n\n        # Execute\n        handle_model_config(tenant_id, user_id, config_key,\n                            model_id, tenant_config_dict)\n\n        # Assert\n        service_mocks['tenant_config_manager'].delete_single_config.assert_called_once_with(\n            tenant_id, config_key)\n        service_mocks['tenant_config_manager'].set_single_config.assert_called_once_with(\n            user_id, tenant_id, config_key, model_id\n        )\n\n    def test_handle_model_config_key_not_exists(self, service_mocks):\n        \"\"\"Test handle_model_config when config key doesn't exist\"\"\"\n        # Setup\n        tenant_id = \"test_tenant_id\"\n        user_id = \"test_user_id\"\n        config_key = \"LLM_ID\"\n        model_id = 456\n        tenant_config_dict = {}\n\n        # Execute\n        handle_model_config(tenant_id, user_id, config_key,\n                            model_id, tenant_config_dict)\n\n        # Assert\n        service_mocks['tenant_config_manager'].delete_single_config.assert_not_called()\n        service_mocks['tenant_config_manager'].set_single_config.assert_called_once_with(\n            user_id, tenant_id, config_key, model_id\n        )\n\n    def test_handle_model_config_none_model_id(self, service_mocks):\n        \"\"\"Test handle_model_config when model_id is None\"\"\"\n        # Setup\n        tenant_id = \"test_tenant_id\"\n        user_id = \"test_user_id\"\n        config_key = \"LLM_ID\"\n        model_id = None\n        tenant_config_dict = {\"LLM_ID\": \"123\"}\n\n        # Execute\n        handle_model_config(tenant_id, user_id, config_key,\n                            model_id, tenant_config_dict)\n\n        # Assert\n        service_mocks['tenant_config_manager'].delete_single_config.assert_called_once_with(\n            tenant_id, config_key)\n        service_mocks['tenant_config_manager'].set_single_config.assert_not_called()\n\n    def test_handle_model_config_empty_string_model_id(self, service_mocks):\n        \"\"\"Test handle_model_config when model_id is empty string\"\"\"\n        # Setup\n        tenant_id = \"test_tenant_id\"\n        user_id = \"test_user_id\"\n        config_key = \"LLM_ID\"\n        model_id = \"\"\n        tenant_config_dict = {\"LLM_ID\": \"123\"}\n\n        # Execute\n        handle_model_config(tenant_id, user_id, config_key,\n                            model_id, tenant_config_dict)\n\n        # Assert - empty string is not falsy, so it should delete existing and set new value\n        service_mocks['tenant_config_manager'].delete_single_config.assert_called_once_with(\n            tenant_id, config_key)\n        service_mocks['tenant_config_manager'].set_single_config.assert_called_once_with(\n            user_id, tenant_id, config_key, model_id\n        )\n\n    def test_handle_model_config_invalid_string_model_id(self, service_mocks):\n        \"\"\"Test handle_model_config when model_id is non-numeric string\"\"\"\n        # Setup\n        tenant_id = \"test_tenant_id\"\n        user_id = \"test_user_id\"\n        config_key = \"LLM_ID\"\n        model_id = \"invalid\"\n        tenant_config_dict = {\"LLM_ID\": \"123\"}\n\n        # Execute\n        handle_model_config(tenant_id, user_id, config_key,\n                            model_id, tenant_config_dict)\n\n        # Assert - should delete existing and set new value\n        service_mocks['tenant_config_manager'].delete_single_config.assert_called_once_with(\n            tenant_id, config_key)\n        service_mocks['tenant_config_manager'].set_single_config.assert_called_once_with(\n            user_id, tenant_id, config_key, model_id\n        )\n\n    def test_handle_model_config_empty_tenant_config_dict(self, service_mocks):\n        \"\"\"Test handle_model_config when tenant_config_dict is empty\"\"\"\n        # Setup\n        tenant_id = \"test_tenant_id\"\n        user_id = \"test_user_id\"\n        config_key = \"LLM_ID\"\n        model_id = 456\n        tenant_config_dict = {}\n\n        # Execute\n        handle_model_config(tenant_id, user_id, config_key,\n                            model_id, tenant_config_dict)\n\n        # Assert - should set new config since key doesn't exist\n        service_mocks['tenant_config_manager'].delete_single_config.assert_not_called()\n        service_mocks['tenant_config_manager'].set_single_config.assert_called_once_with(\n            user_id, tenant_id, config_key, model_id\n        )\n\n    def test_handle_model_config_zero_model_id_with_existing_config(self, service_mocks):\n        \"\"\"Test handle_model_config when model_id is 0 and config exists\"\"\"\n        # Setup\n        tenant_id = \"test_tenant_id\"\n        user_id = \"test_user_id\"\n        config_key = \"LLM_ID\"\n        model_id = 0\n        tenant_config_dict = {\"LLM_ID\": \"123\"}\n\n        # Execute\n        handle_model_config(tenant_id, user_id, config_key,\n                            model_id, tenant_config_dict)\n\n        # Assert - should delete existing and set new value (0 is falsy but should be treated as valid model_id)\n        service_mocks['tenant_config_manager'].delete_single_config.assert_called_once_with(\n            tenant_id, config_key)\n        service_mocks['tenant_config_manager'].set_single_config.assert_called_once_with(\n            user_id, tenant_id, config_key, model_id\n        )\n\n\nclass TestSaveConfigImpl:\n    \"\"\"Test cases for save_config_impl function\"\"\"\n\n    @pytest.mark.asyncio\n    async def test_save_config_impl_success(self, service_mocks):\n        \"\"\"Test successful configuration saving\"\"\"\n        # Setup\n        config = MagicMock()\n        config_dict = {\n            \"app\": {\n                \"name\": \"Test App\",\n                \"description\": \"Test Description\"\n            },\n            \"models\": {\n                \"llm\": {\n                    \"modelName\": \"gpt-4\",\n                    \"displayName\": \"GPT-4\",\n                    \"apiConfig\": {\n                        \"apiKey\": \"test-api-key\",\n                        \"baseUrl\": \"https://api.openai.com\"\n                    }\n                },\n                \"embedding\": {\n                    \"modelName\": \"text-embedding-ada-002\",\n                    \"displayName\": \"Ada Embeddings\",\n                    \"dimension\": 1536\n                }\n            }\n        }\n        config.model_dump.return_value = config_dict\n\n        tenant_id = \"test_tenant_id\"\n        user_id = \"test_user_id\"\n\n        # Mock tenant config\n        service_mocks['tenant_config_manager'].load_config.return_value = {\n            \"APP_NAME\": \"Old App Name\"\n        }\n\n        # Mock get_env_key\n        service_mocks['get_env_key'].side_effect = lambda key: key.upper()\n\n        # Mock safe_value\n        service_mocks['safe_value'].side_effect = lambda value: str(\n            value) if value is not None else \"\"\n\n        # Mock get_model_id_by_display_name\n        service_mocks['get_model_id'].side_effect = [\n            \"llm-model-id\", \"embedding-model-id\"]\n\n        # Execute\n        result = await save_config_impl(config, tenant_id, user_id)\n\n        # Assert\n        # save_config_impl returns None, JSONResponse is created in the endpoint\n        assert result is None\n\n        # Verify tenant_config_manager calls\n        service_mocks['tenant_config_manager'].load_config.assert_called_once_with(\n            tenant_id)\n\n        # Verify logger\n        service_mocks['logger'].info.assert_called_once_with(\n            \"Configuration saved successfully\")\n\n    @pytest.mark.asyncio\n    async def test_save_config_impl_success_model(self, service_mocks):\n        \"\"\"Test successful configuration saving\"\"\"\n        # Setup\n        config = MagicMock()\n        config_dict = {\n            \"app\": {\n                \"name\": \"Test App\",\n                \"description\": \"Test Description\"\n            },\n            \"models\": {\n                \"llm\": {\n                    \"modelName\": \"gpt-4\",\n                    \"displayName\": \"GPT-4\",\n                    \"apiConfig\": {\n                        \"apiKey\": \"test-api-key\",\n                        \"baseUrl\": \"https://api.openai.com\"\n                    }\n                },\n                \"embedding\": {\n                    \"modelName\": \"text-embedding-ada-002\",\n                    \"displayName\": \"Ada Embeddings\",\n                    \"dimension\": 1536\n                }\n            }\n        }\n        config.model_dump.return_value = config_dict\n\n        tenant_id = \"test_tenant_id\"\n        user_id = \"test_user_id\"\n\n        # Mock tenant config\n        service_mocks['tenant_config_manager'].load_config.return_value = {\n            \"APP_NAME\": \"Old App Name\"\n        }\n\n        # Mock get_env_key\n        service_mocks['get_env_key'].side_effect = lambda key: key.upper()\n\n        # Mock safe_value\n        service_mocks['safe_value'].side_effect = lambda value: str(\n            value) if value is not None else \"\"\n\n        # Mock get_model_id_by_display_name\n        service_mocks['get_model_id'].side_effect = [\n            \"llm-model-id\", \"embedding-model-id\"]\n\n        # Execute\n        result = await save_config_impl(config, tenant_id, user_id)\n\n        # Assert\n        # save_config_impl returns None, JSONResponse is created in the endpoint\n        assert result is None\n\n        # Verify tenant_config_manager calls\n        service_mocks['tenant_config_manager'].load_config.assert_called_once_with(\n            tenant_id)\n\n        # Verify logger\n        service_mocks['logger'].info.assert_called_once_with(\n            \"Configuration saved successfully\")\n\n    @pytest.mark.asyncio\n    async def test_save_config_impl_success_embedding_model(self, service_mocks):\n        \"\"\"Test successful configuration saving\"\"\"\n        # Setup\n        config = MagicMock()\n        config_dict = {\n            \"app\": {\n                \"name\": \"Test App\",\n                \"description\": \"Test Description\"\n            },\n            \"models\": {\n                \"llm\": {\n                    \"modelName\": \"gpt-4\",\n                    \"displayName\": \"GPT-4\",\n                    \"apiConfig\": {\n                        \"apiKey\": \"test-api-key\",\n                        \"baseUrl\": \"https://api.openai.com\"\n                    }\n                },\n                \"embedding\": {\n                    \"modelName\": \"text-embedding-ada-002\",\n                    \"displayName\": \"Ada Embeddings\",\n                    \"dimension\": 1536,\n                    \"apiConfig\": {\n                        \"apiKey\": \"test-api-key\",\n                        \"baseUrl\": \"https://api.openai.com\"\n                    }\n                }\n            }\n        }\n        config.model_dump.return_value = config_dict\n\n        tenant_id = \"test_tenant_id\"\n        user_id = \"test_user_id\"\n\n        # Mock tenant config\n        service_mocks['tenant_config_manager'].load_config.return_value = {\n            \"APP_NAME\": \"Old App Name\"\n        }\n\n        # Mock get_env_key\n        service_mocks['get_env_key'].side_effect = lambda key: key.upper()\n\n        # Mock safe_value\n        service_mocks['safe_value'].side_effect = lambda value: str(\n            value) if value is not None else \"\"\n\n        # Mock get_model_id_by_display_name\n        service_mocks['get_model_id'].side_effect = [\n            \"llm-model-id\", \"embedding-model-id\"]\n\n        # Execute\n        result = await save_config_impl(config, tenant_id, user_id)\n\n        # Assert\n        # save_config_impl returns None, JSONResponse is created in the endpoint\n        assert result is None\n\n        # Verify tenant_config_manager calls\n        service_mocks['tenant_config_manager'].load_config.assert_called_once_with(\n            tenant_id)\n\n        # Verify logger\n        service_mocks['logger'].info.assert_called_once_with(\n            \"Configuration saved successfully\")\n\n    @pytest.mark.asyncio\n    async def test_save_config_impl_model_config(self, service_mocks):\n        \"\"\"Test saving configuration with empty model config\"\"\"\n        # Setup\n        config = MagicMock()\n        config_dict = {\n            \"app\": {\n                \"name\": \"Test App\"\n            },\n            \"models\": {\n                \"llm\": None,\n                \"embedding\": {}\n            }\n        }\n        config.model_dump.return_value = config_dict\n\n        tenant_id = \"test_tenant_id\"\n        user_id = \"test_user_id\"\n\n        # Mock tenant config\n        service_mocks['tenant_config_manager'].load_config.return_value = {\n            \"NAME\": \"Test App\"\n        }\n\n        # Mock get_env_key\n        service_mocks['get_env_key'].side_effect = lambda key: key.upper()\n\n        # Mock safe_value\n        service_mocks['safe_value'].side_effect = lambda value: str(\n            value) if value is not None else \"\"\n\n        # Execute\n        result = await save_config_impl(config, tenant_id, user_id)\n\n        # Assert\n        assert result is None\n\n        # Verify that no model config handling was done for None model\n        service_mocks['get_model_id'].assert_not_called()\n\n    @pytest.mark.asyncio\n    async def test_save_config_impl_success_no_model(self, service_mocks):\n        \"\"\"Test successful configuration saving\"\"\"\n        # Setup\n        config = MagicMock()\n        config_dict = {\n            \"app\": {\n                \"name\": \"Test App\",\n                \"description\": \"Test Description\"\n            },\n            \"models\": {\n                \"llm\": {\n                    \"modelName\": \"\",\n                    \"displayName\": \"GPT-4\",\n                    \"apiConfig\": {\n                        \"apiKey\": \"test-api-key\",\n                        \"baseUrl\": \"https://api.openai.com\"\n                    }\n                },\n                \"embedding\": {\n                    \"modelName\": \"text-embedding-ada-002\",\n                    \"displayName\": \"Ada Embeddings\",\n                    \"dimension\": 1536\n                }\n            }\n        }\n        config.model_dump.return_value = config_dict\n\n        tenant_id = \"test_tenant_id\"\n        user_id = \"test_user_id\"\n\n        # Mock tenant config\n        service_mocks['tenant_config_manager'].load_config.return_value = {\n            \"APP_NAME\": \"Old App Name\"\n        }\n\n        # Mock get_env_key\n        service_mocks['get_env_key'].side_effect = lambda key: key.upper()\n\n        # Mock safe_value\n        service_mocks['safe_value'].side_effect = lambda value: str(\n            value) if value is not None else \"\"\n\n        # Mock get_model_id_by_display_name\n        service_mocks['get_model_id'].side_effect = [\n            \"llm-model-id\", \"embedding-model-id\"]\n\n        # Execute\n        result = await save_config_impl(config, tenant_id, user_id)\n\n        # Assert\n        # save_config_impl returns None, JSONResponse is created in the endpoint\n        assert result is None\n\n        # Verify tenant_config_manager calls\n        service_mocks['tenant_config_manager'].load_config.assert_called_once_with(\n            tenant_id)\n\n        # Verify logger\n        service_mocks['logger'].info.assert_called_once_with(\n            \"Configuration saved successfully\")\n\n    @pytest.mark.asyncio\n    async def test_save_config_impl_non_model_config(self, service_mocks):\n        \"\"\"Test saving configuration with empty model config\"\"\"\n        # Setup\n        config = MagicMock()\n        config_dict = {\n            \"app\": {\n                \"name\": \"\"\n            },\n            \"models\": {\n                \"llm\": None,\n                \"embedding\": {}\n            }\n        }\n        config.model_dump.return_value = config_dict\n\n        tenant_id = \"test_tenant_id\"\n        user_id = \"test_user_id\"\n\n        # Mock tenant config\n        service_mocks['tenant_config_manager'].load_config.return_value = {\n            \"NAME\": \"Test APP\"\n        }\n\n        # Mock get_env_key\n        service_mocks['get_env_key'].side_effect = lambda key: key.upper()\n\n        # Mock safe_value\n        service_mocks['safe_value'].side_effect = lambda value: str(\n            value) if value is not None else \"\"\n\n        # Execute\n        result = await save_config_impl(config, tenant_id, user_id)\n\n        # Assert\n        assert result is None\n\n        # Verify that no model config handling was done for None model\n        service_mocks['get_model_id'].assert_not_called()\n\n    @pytest.mark.asyncio\n    async def test_save_config_impl_in_model_config(self, service_mocks):\n        \"\"\"Test saving configuration with empty model config\"\"\"\n        # Setup\n        config = MagicMock()\n        config_dict = {\n            \"app\": {\n                \"name\": \"Test app\"\n            },\n            \"models\": {\n                \"llm\": None,\n                \"embedding\": {}\n            }\n        }\n        config.model_dump.return_value = config_dict\n\n        tenant_id = \"test_tenant_id\"\n        user_id = \"test_user_id\"\n\n        # Mock tenant config\n        service_mocks['tenant_config_manager'].load_config.return_value = {\n            \"NAME\": \"Test APP\"\n        }\n\n        # Mock get_env_key\n        service_mocks['get_env_key'].side_effect = lambda key: key.upper()\n\n        # Mock safe_value\n        service_mocks['safe_value'].side_effect = lambda value: str(\n            value) if value is not None else \"\"\n\n        # Execute\n        result = await save_config_impl(config, tenant_id, user_id)\n\n        # Assert\n        assert result is None\n\n        # Verify that no model config handling was done for None model\n        service_mocks['get_model_id'].assert_not_called()\n\n    @pytest.mark.asyncio\n    async def test_save_config_impl_app_config_updates(self, service_mocks):\n        \"\"\"Test app configuration updates\"\"\"\n        # Setup\n        config = MagicMock()\n        config_dict = {\n            \"app\": {\n                \"name\": \"New App Name\",\n                \"description\": \"New Description\"\n            }\n        }\n        config.model_dump.return_value = config_dict\n\n        tenant_id = \"test_tenant_id\"\n        user_id = \"test_user_id\"\n\n        # Mock tenant config with different values\n        service_mocks['tenant_config_manager'].load_config.return_value = {\n            \"APP_NAME\": \"Old App Name\",\n            \"APP_DESCRIPTION\": \"Old Description\"\n        }\n\n        # Mock get_env_key\n        service_mocks['get_env_key'].side_effect = lambda key: key.upper()\n\n        # Mock safe_value to return the same value consistently\n        def mock_safe_value(value):\n            return str(value) if value is not None else \"\"\n\n        service_mocks['safe_value'].side_effect = mock_safe_value\n\n        # Execute\n        result = await save_config_impl(config, tenant_id, user_id)\n\n        # Assert\n        assert result is None\n\n    @pytest.mark.asyncio\n    async def test_save_config_impl_app_config_same_values(self, service_mocks):\n        \"\"\"Test app configuration when values are the same\"\"\"\n        # Setup\n        config = MagicMock()\n        config_dict = {\n            \"app\": {\n                \"name\": \"Same App Name\",\n                \"description\": \"Same Description\"\n            }\n        }\n        config.model_dump.return_value = config_dict\n\n        tenant_id = \"test_tenant_id\"\n        user_id = \"test_user_id\"\n\n        # Mock tenant config with same values\n        service_mocks['tenant_config_manager'].load_config.return_value = {\n            \"APP_NAME\": \"Same App Name\",\n            \"APP_DESCRIPTION\": \"Same Description\"\n        }\n\n        # Mock get_env_key\n        service_mocks['get_env_key'].side_effect = lambda key: key.upper()\n\n        # Mock safe_value\n        service_mocks['safe_value'].side_effect = lambda value: str(\n            value) if value is not None else \"\"\n\n        # Execute\n        result = await save_config_impl(config, tenant_id, user_id)\n\n        # Assert\n        assert result is None\n\n    @pytest.mark.asyncio\n    async def test_save_config_impl_app_config_empty_values(self, service_mocks):\n        \"\"\"Test app configuration when values are empty\"\"\"\n        # Setup\n        config = MagicMock()\n        config_dict = {\n            \"app\": {\n                \"name\": \"\",\n                \"description\": \"\"\n            }\n        }\n        config.model_dump.return_value = config_dict\n\n        tenant_id = \"test_tenant_id\"\n        user_id = \"test_user_id\"\n\n        # Mock tenant config with non-empty values\n        service_mocks['tenant_config_manager'].load_config.return_value = {\n            \"APP_NAME\": \"Old App Name\",\n            \"APP_DESCRIPTION\": \"Old Description\"\n        }\n\n        # Mock get_env_key\n        service_mocks['get_env_key'].side_effect = lambda key: key.upper()\n\n        # Mock safe_value\n        service_mocks['safe_value'].side_effect = lambda value: str(\n            value) if value is not None else \"\"\n\n        # Execute\n        result = await save_config_impl(config, tenant_id, user_id)\n\n        # Assert\n        assert result is None\n\n    @pytest.mark.asyncio\n    async def test_save_config_impl_app_config_new_keys(self, service_mocks):\n        \"\"\"Test app configuration when keys don't exist in tenant config\"\"\"\n        # Setup\n        config = MagicMock()\n        config_dict = {\n            \"app\": {\n                \"name\": \"New App Name\",\n                \"description\": \"New Description\"\n            }\n        }\n        config.model_dump.return_value = config_dict\n\n        tenant_id = \"test_tenant_id\"\n        user_id = \"test_user_id\"\n\n        # Mock tenant config with no existing keys\n        service_mocks['tenant_config_manager'].load_config.return_value = {}\n\n        # Mock get_env_key\n        service_mocks['get_env_key'].side_effect = lambda key: key.upper()\n\n        # Mock safe_value\n        service_mocks['safe_value'].side_effect = lambda value: str(\n            value) if value is not None else \"\"\n\n        # Execute\n        result = await save_config_impl(config, tenant_id, user_id)\n\n        # Assert\n        assert result is None\n\n        # Verify that set_single_config is called for new keys\n        assert service_mocks['tenant_config_manager'].set_single_config.call_count == 2\n        service_mocks['tenant_config_manager'].delete_single_config.assert_not_called()\n        service_mocks['tenant_config_manager'].update_single_config.assert_not_called()\n\n    @pytest.mark.asyncio\n    async def test_save_config_impl_model_dump_exception(self, service_mocks):\n        \"\"\"Test save_config_impl when config.model_dump() raises exception\"\"\"\n        # Setup\n        config = MagicMock()\n        config.model_dump.side_effect = Exception(\"Serialization failed\")\n\n        tenant_id = \"test_tenant_id\"\n        user_id = \"test_user_id\"\n\n        # Execute and assert exception is raised\n        with pytest.raises(Exception) as exc_info:\n            await save_config_impl(config, tenant_id, user_id)\n\n        assert \"Serialization failed\" in str(exc_info.value)\n\n    @pytest.mark.asyncio\n    async def test_save_config_impl_load_config_exception(self, service_mocks):\n        \"\"\"Test save_config_impl when load_config raises exception\"\"\"\n        # Setup\n        config = MagicMock()\n        config_dict = {\"app\": {\"name\": \"Test App\"}}\n        config.model_dump.return_value = config_dict\n\n        tenant_id = \"test_tenant_id\"\n        user_id = \"test_user_id\"\n\n        # Mock load_config to raise exception\n        service_mocks['tenant_config_manager'].load_config.side_effect = Exception(\n            \"Database connection failed\")\n\n        # Execute and assert exception is raised\n        with pytest.raises(Exception) as exc_info:\n            await save_config_impl(config, tenant_id, user_id)\n\n        assert \"Database connection failed\" in str(exc_info.value)\n\n    @pytest.mark.asyncio\n    async def test_save_config_impl_get_model_id_exception(self, service_mocks):\n        \"\"\"Test save_config_impl when get_model_id_by_display_name raises exception\"\"\"\n        # Setup\n        config = MagicMock()\n        config_dict = {\n            \"app\": {\"name\": \"Test App\"},\n            \"models\": {\n                \"llm\": {\n                    \"modelName\": \"gpt-4\",\n                    \"displayName\": \"GPT-4\"\n                }\n            }\n        }\n        config.model_dump.return_value = config_dict\n\n        tenant_id = \"test_tenant_id\"\n        user_id = \"test_user_id\"\n\n        # Mock tenant config\n        service_mocks['tenant_config_manager'].load_config.return_value = {}\n\n        # Mock get_env_key\n        service_mocks['get_env_key'].side_effect = lambda key: key.upper()\n\n        # Mock safe_value\n        service_mocks['safe_value'].side_effect = lambda value: str(\n            value) if value is not None else \"\"\n\n        # Mock get_model_id_by_display_name to raise exception\n        service_mocks['get_model_id'].side_effect = Exception(\n            \"Model not found\")\n\n        # Execute and assert exception is raised\n        with pytest.raises(Exception) as exc_info:\n            await save_config_impl(config, tenant_id, user_id)\n\n        assert \"Model not found\" in str(exc_info.value)\n\n    @pytest.mark.asyncio\n    async def test_save_config_impl_empty_config_dict(self, service_mocks):\n        \"\"\"Test save_config_impl with empty config_dict\"\"\"\n        # Setup\n        config = MagicMock()\n        config_dict = {}\n        config.model_dump.return_value = config_dict\n\n        tenant_id = \"test_tenant_id\"\n        user_id = \"test_user_id\"\n\n        # Mock tenant config\n        service_mocks['tenant_config_manager'].load_config.return_value = {}\n\n        # Execute\n        result = await save_config_impl(config, tenant_id, user_id)\n\n        # Assert\n        assert result is None\n        # Should not call any config operations since config_dict is empty\n        service_mocks['tenant_config_manager'].set_single_config.assert_not_called()\n        service_mocks['tenant_config_manager'].delete_single_config.assert_not_called()\n        service_mocks['tenant_config_manager'].update_single_config.assert_not_called()\n\n    @pytest.mark.asyncio\n    async def test_save_config_impl_empty_models_section(self, service_mocks):\n        \"\"\"Test save_config_impl with empty models section\"\"\"\n        # Setup\n        config = MagicMock()\n        config_dict = {\n            \"app\": {\"name\": \"Test App\"},\n            \"models\": {}\n        }\n        config.model_dump.return_value = config_dict\n\n        tenant_id = \"test_tenant_id\"\n        user_id = \"test_user_id\"\n\n        # Mock tenant config\n        service_mocks['tenant_config_manager'].load_config.return_value = {}\n\n        # Mock get_env_key\n        service_mocks['get_env_key'].side_effect = lambda key: key.upper()\n\n        # Mock safe_value\n        service_mocks['safe_value'].side_effect = lambda value: str(\n            value) if value is not None else \"\"\n\n        # Execute\n        result = await save_config_impl(config, tenant_id, user_id)\n\n        # Assert\n        assert result is None\n        # Should only process app config, not model config\n        service_mocks['get_model_id'].assert_not_called()\n\n    @pytest.mark.asyncio\n    async def test_save_config_impl_embedding_without_api_config(self, service_mocks):\n        \"\"\"Test save_config_impl with embedding model without apiConfig\"\"\"\n        # Setup\n        config = MagicMock()\n        config_dict = {\n            \"app\": {\"name\": \"Test App\"},\n            \"models\": {\n                \"embedding\": {\n                    \"modelName\": \"text-embedding-ada-002\",\n                    \"displayName\": \"Ada Embeddings\",\n                    \"dimension\": 1536\n                }\n            }\n        }\n        config.model_dump.return_value = config_dict\n\n        tenant_id = \"test_tenant_id\"\n        user_id = \"test_user_id\"\n\n        # Mock tenant config\n        service_mocks['tenant_config_manager'].load_config.return_value = {}\n\n        # Mock get_env_key\n        service_mocks['get_env_key'].side_effect = lambda key: key.upper()\n\n        # Mock safe_value\n        service_mocks['safe_value'].side_effect = lambda value: str(\n            value) if value is not None else \"\"\n\n        # Mock get_model_id_by_display_name\n        service_mocks['get_model_id'].return_value = \"embedding-model-id\"\n\n        # Execute\n        result = await save_config_impl(config, tenant_id, user_id)\n\n        # Assert\n        assert result is None\n        # Should not try to access apiConfig since it's not present\n        service_mocks['logger'].info.assert_called_once_with(\n            \"Configuration saved successfully\")\n\n\nclass TestLoadConfigImpl:\n    \"\"\"Test cases for load_config_impl function\"\"\"\n\n    @pytest.mark.asyncio\n    async def test_load_config_impl_english(self, service_mocks):\n        \"\"\"Test loading configuration with English language\"\"\"\n        # Setup\n        language = \"en\"\n        tenant_id = \"test_tenant_id\"\n\n        # Mock model configurations\n        llm_config = {\n            \"display_name\": \"Test LLM\",\n            \"api_key\": \"test-api-key\",\n            \"base_url\": \"https://test-url.com\"\n        }\n        service_mocks['tenant_config_manager'].get_model_config.side_effect = [\n            llm_config,  # LLM_ID\n            {},          # LLM_SECONDARY_ID\n            {},          # EMBEDDING_ID\n            {},          # MULTI_EMBEDDING_ID\n            {},          # RERANK_ID\n            {},          # VLM_ID\n            {},          # STT_ID\n            {}           # TTS_ID\n        ]\n\n        # Mock app configurations\n        def mock_get_app_config(key, tenant_id=None):\n            config_map = {\n                \"APP_NAME\": \"Custom App Name\",\n                \"APP_DESCRIPTION\": \"Custom description\",\n                \"TENANT_NAME\": \"Test Tenant\",\n                \"DEFAULT_GROUP_ID\": \"default-group-123\",\n                \"ICON_TYPE\": \"preset\",\n                \"ICON_KEY\": \"keyboard\",\n                \"AVATAR_URI\": \"avatar-uri\",\n                \"CUSTOM_ICON_URL\": \"https://custom-icon.com\",\n                \"DATAMATE_URL\": \"https://datamate.example.com\"\n            }\n            return config_map.get(key)\n\n        service_mocks['tenant_config_manager'].get_app_config.side_effect = mock_get_app_config\n\n        # Mock model name conversion to return string values\n        service_mocks['get_model_name'].side_effect = [\n            \"gpt-4\",     # LLM_ID\n            \"\",          # LLM_SECONDARY_ID\n            \"\",          # EMBEDDING_ID\n            \"\",          # MULTI_EMBEDDING_ID\n            \"\",          # RERANK_ID\n            \"\",          # VLM_ID\n            \"\",          # STT_ID\n            \"\"           # TTS_ID\n        ]\n\n        # Execute\n        result = await load_config_impl(language, tenant_id)\n\n        assert result[\"app\"][\"name\"] == \"Custom App Name\"\n        assert result[\"app\"][\"description\"] == \"Custom description\"\n        assert result[\"app\"][\"tenantName\"] == \"Test Tenant\"\n        assert result[\"app\"][\"defaultGroupId\"] == \"default-group-123\"\n        assert result[\"app\"][\"icon\"][\"type\"] == \"preset\"\n        assert result[\"app\"][\"icon\"][\"iconKey\"] == \"keyboard\"\n        assert result[\"app\"][\"icon\"][\"avatarUri\"] == \"avatar-uri\"\n        assert result[\"app\"][\"icon\"][\"customUrl\"] == \"https://custom-icon.com\"\n        assert result[\"models\"][\"llm\"][\"displayName\"] == \"Test LLM\"\n\n    @pytest.mark.asyncio\n    async def test_load_config_impl_chinese(self, service_mocks):\n        \"\"\"Test loading configuration with Chinese language\"\"\"\n        # Setup\n        language = \"zh\"\n        tenant_id = \"test_tenant_id\"\n\n        # Mock empty model configurations\n        service_mocks['tenant_config_manager'].get_model_config.return_value = {}\n\n        # Mock empty app configurations (to use defaults)\n        service_mocks['tenant_config_manager'].get_app_config.return_value = None\n\n        # Mock model name conversion to return string values\n        service_mocks['get_model_name'].return_value = \"\"\n\n        # Execute\n        result = await load_config_impl(language, tenant_id)\n\n        # Check Chinese default values\n        assert result[\"app\"][\"name\"] == \"Nexent 智能体\"\n        assert result[\"app\"][\"description\"] == \"Nexent 是一个开源智能体平台，基于 MCP 工具生态系统，提供灵活的多模态问答、检索、数据分析、处理等能力。\"\n        assert result[\"app\"][\"tenantName\"] == \"\"\n        assert result[\"app\"][\"defaultGroupId\"] == \"\"\n        assert result[\"app\"][\"icon\"][\"type\"] == \"preset\"\n        assert result[\"app\"][\"icon\"][\"avatarUri\"] == \"\"\n        assert result[\"app\"][\"icon\"][\"customUrl\"] == \"\"\n\n    @pytest.mark.asyncio\n    async def test_load_config_impl_with_embedding_dimension(self, service_mocks):\n        \"\"\"Test loading configuration with embedding dimension\"\"\"\n        # Setup\n        language = \"en\"\n        tenant_id = \"test_tenant_id\"\n\n        # Mock model configurations with max_tokens and model_type\n        embedding_config = {\n            \"max_tokens\": 1536,\n            \"model_type\": \"embedding\",\n            \"base_url\": \"http://test.com\",\n            \"api_key\": \"test_key\",\n            \"dimension\": 1536\n        }\n        multi_embedding_config = {\n            \"max_tokens\": 768,\n            \"model_type\": \"multi_embedding\",\n            \"base_url\": \"http://test.com\",\n            \"api_key\": \"test_key\",\n            \"dimension\": 768\n        }\n\n        service_mocks['tenant_config_manager'].get_model_config.side_effect = [\n            {},          # LLM_ID\n            embedding_config,  # EMBEDDING_ID\n            multi_embedding_config,  # MULTI_EMBEDDING_ID\n            {},          # RERANK_ID\n            {},          # VLM_ID\n            {},          # STT_ID\n            {}           # TTS_ID\n        ]\n\n        # Mock app configurations\n        service_mocks['tenant_config_manager'].get_app_config.return_value = None\n\n        # Mock model name conversion to return string values\n        service_mocks['get_model_name'].side_effect = [\n            \"\",          # LLM_ID\n            \"text-embedding-ada-002\",  # EMBEDDING_ID\n            \"text-embedding-3-small\",  # MULTI_EMBEDDING_ID\n            \"\",          # RERANK_ID\n            \"\",          # VLM_ID\n            \"\",          # STT_ID\n            \"\"           # TTS_ID\n        ]\n\n        # Execute\n        result = await load_config_impl(language, tenant_id)\n\n        # Check app config (should use defaults)\n        assert result[\"app\"][\"name\"] == \"Nexent Agent\"\n        assert result[\"app\"][\"description\"] == \"Nexent is an open-source agent platform built on the MCP tool ecosystem, providing flexible multi-modal Q&A, retrieval, data analysis, and processing capabilities.\"\n        assert result[\"app\"][\"tenantName\"] == \"\"\n        assert result[\"app\"][\"defaultGroupId\"] == \"\"\n\n        # Check dimension values\n        assert result[\"models\"][\"embedding\"][\"dimension\"] == 1536\n        assert result[\"models\"][\"multiEmbedding\"][\"dimension\"] == 768\n\n    @pytest.mark.asyncio\n    async def test_load_config_impl_empty_models(self, service_mocks):\n        \"\"\"Test loading configuration with empty model configs\"\"\"\n        # Setup\n        language = \"en\"\n        tenant_id = \"test_tenant_id\"\n\n        # Mock empty model configurations\n        service_mocks['tenant_config_manager'].get_model_config.return_value = {}\n\n        # Mock empty app configurations\n        service_mocks['tenant_config_manager'].get_app_config.return_value = None\n\n        # Mock model name conversion to return string values\n        service_mocks['get_model_name'].return_value = \"\"\n\n        # Execute\n        result = await load_config_impl(language, tenant_id)\n\n        # Check app config (should use defaults)\n        assert result[\"app\"][\"name\"] == \"Nexent Agent\"\n        assert result[\"app\"][\"description\"] == \"Nexent is an open-source agent platform built on the MCP tool ecosystem, providing flexible multi-modal Q&A, retrieval, data analysis, and processing capabilities.\"\n        assert result[\"app\"][\"tenantName\"] == \"\"\n        assert result[\"app\"][\"defaultGroupId\"] == \"\"\n\n        # Check that models have empty values\n        assert result[\"models\"][\"llm\"][\"name\"] == \"\"\n        assert result[\"models\"][\"embedding\"][\"name\"] == \"\"\n\n    @pytest.mark.asyncio\n    async def test_load_config_impl_exception(self, service_mocks):\n        \"\"\"Test loading configuration when build_app_config throws an exception\"\"\"\n        # Setup\n        language = \"en\"\n        tenant_id = \"test_tenant_id\"\n\n        # Mock build_app_config to raise an exception\n        with patch('backend.services.config_sync_service.build_app_config') as mock_build_app_config:\n            mock_build_app_config.side_effect = Exception(\n                \"Database connection failed\")\n\n            # Execute and assert that exception is raised\n            with pytest.raises(Exception) as exc_info:\n                await load_config_impl(language, tenant_id)\n\n            # Verify the exception message\n            assert f\"Failed to load config for tenant {tenant_id}.\" in str(\n                exc_info.value)\n\n            # Verify that logger.error was called\n            service_mocks['logger'].error.assert_called_once_with(\n                f\"Failed to load config for tenant {tenant_id}: Database connection failed\"\n            )\n\n    @pytest.mark.asyncio\n    async def test_load_config_impl_empty_language(self, service_mocks):\n        \"\"\"Test loading configuration with empty language\"\"\"\n        # Setup\n        language = \"\"\n        tenant_id = \"test_tenant_id\"\n\n        # Mock empty configurations to avoid default values\n        service_mocks['tenant_config_manager'].get_app_config.return_value = None\n        service_mocks['tenant_config_manager'].get_model_config.return_value = {}\n\n        # Mock model name conversion to return string values\n        service_mocks['get_model_name'].return_value = \"\"\n\n        # Execute\n        result = await load_config_impl(language, tenant_id)\n\n        # Assert - should use English defaults when language is empty\n        assert result[\"app\"][\"name\"] == \"Nexent Agent\"  # DEFAULT_APP_NAME_EN\n        assert result[\"models\"][\"llm\"][\"name\"] == \"\"\n\n    @pytest.mark.asyncio\n    async def test_load_config_impl_invalid_language(self, service_mocks):\n        \"\"\"Test loading configuration with invalid language\"\"\"\n        # Setup\n        language = \"invalid\"\n        tenant_id = \"test_tenant_id\"\n\n        # Mock empty configurations to avoid default values\n        service_mocks['tenant_config_manager'].get_app_config.return_value = None\n        service_mocks['tenant_config_manager'].get_model_config.return_value = {}\n\n        # Mock model name conversion to return string values\n        service_mocks['get_model_name'].return_value = \"\"\n\n        # Execute\n        result = await load_config_impl(language, tenant_id)\n\n        # Assert - should use English defaults when language is invalid\n        assert result[\"app\"][\"name\"] == \"Nexent Agent\"  # DEFAULT_APP_NAME_EN\n        assert result[\"models\"][\"llm\"][\"name\"] == \"\"\n\n    @pytest.mark.asyncio\n    async def test_load_config_impl_empty_tenant_id(self, service_mocks):\n        \"\"\"Test loading configuration with empty tenant_id\"\"\"\n        # Setup\n        language = \"en\"\n        tenant_id = \"\"\n\n        # Mock empty configurations to avoid default values\n        service_mocks['tenant_config_manager'].get_app_config.return_value = None\n        service_mocks['tenant_config_manager'].get_model_config.return_value = {}\n\n        # Mock model name conversion to return string values\n        service_mocks['get_model_name'].return_value = \"\"\n\n        # Execute\n        result = await load_config_impl(language, tenant_id)\n\n        # Assert - should still work with empty tenant_id\n        assert result[\"app\"][\"name\"] == \"Nexent Agent\"\n        assert result[\"models\"][\"llm\"][\"name\"] == \"\"\n\n    @pytest.mark.asyncio\n    async def test_load_config_impl_both_build_functions_exception(self, service_mocks):\n        \"\"\"Test loading configuration when both build functions raise exceptions\"\"\"\n        # Setup\n        language = \"en\"\n        tenant_id = \"test_tenant_id\"\n\n        # Mock build_app_config to raise an exception\n        with patch('backend.services.config_sync_service.build_app_config') as mock_build_app_config, \\\n                patch('backend.services.config_sync_service.build_models_config') as mock_build_models_config:\n\n            mock_build_app_config.side_effect = Exception(\"App config failed\")\n            mock_build_models_config.side_effect = Exception(\n                \"Models config failed\")\n\n            # Execute and assert that exception is raised\n            with pytest.raises(Exception) as exc_info:\n                await load_config_impl(language, tenant_id)\n\n            # Verify the exception message\n            assert f\"Failed to load config for tenant {tenant_id}.\" in str(\n                exc_info.value)\n\n            # Verify that logger.error was called\n            service_mocks['logger'].error.assert_called_once_with(\n                f\"Failed to load config for tenant {tenant_id}: App config failed\"\n            )\n\n    def test_build_models_config_partial_success(self, service_mocks):\n        \"\"\"Test build_models_config with some successful and some failed configs\"\"\"\n        # Setup\n        tenant_id = \"test_tenant_id\"\n\n        # Mock get_model_config to succeed for some configs and fail for others\n        def side_effect(config_key, tenant_id=None):\n            if config_key == \"LLM_ID\":\n                return {\n                    \"display_name\": \"Test LLM\",\n                    \"api_key\": \"test-api-key\",\n                    \"base_url\": \"https://test-url.com\"\n                }\n            elif config_key == \"EMBEDDING_ID\":\n                raise Exception(\"Database timeout\")\n            else:\n                return {}\n\n        service_mocks['tenant_config_manager'].get_model_config.side_effect = side_effect\n\n        # Mock model name conversion\n        service_mocks['get_model_name'].side_effect = [\n            \"gpt-4\",  # LLM_ID - successful\n            \"\",  # LLM_SECONDARY_ID\n            \"\",  # EMBEDDING_ID - will be empty due to exception\n            \"\",  # MULTI_EMBEDDING_ID\n            \"\",  # RERANK_ID\n            \"\",  # VLM_ID\n            \"\",  # STT_ID\n            \"\"  # TTS_ID\n        ]\n\n        # Execute\n        result = build_models_config(tenant_id)\n\n        # Assert\n        assert isinstance(result, dict)\n\n        # Verify successful config\n        assert result[\"llm\"][\"displayName\"] == \"Test LLM\"\n        assert result[\"llm\"][\"apiConfig\"][\"apiKey\"] == \"test-api-key\"\n\n        # Verify failed config was handled gracefully\n        assert result[\"embedding\"][\"name\"] == \"\"\n        assert result[\"embedding\"][\"displayName\"] == \"\"\n\n        # Verify that logger.warning was called for the failed config\n        service_mocks['logger'].warning.assert_called_with(\n            \"Failed to get config for EMBEDDING_ID: Database timeout\"\n        )\n\n    def test_build_models_config_all_success(self, service_mocks):\n        \"\"\"Test build_models_config with all configurations successful\"\"\"\n        # Setup\n        tenant_id = \"test_tenant_id\"\n\n        # Mock successful model configurations for all model types\n        def side_effect(config_key, tenant_id=None):\n            configs = {\n                \"LLM_ID\": {\n                    \"display_name\": \"GPT-4\",\n                    \"api_key\": \"test-key\",\n                    \"base_url\": \"https://api.openai.com\"\n                },\n                \"LLM_SECONDARY_ID\": {},\n                \"EMBEDDING_ID\": {\n                    \"display_name\": \"Ada Embeddings\",\n                    \"api_key\": \"test-key\",\n                    \"base_url\": \"https://api.openai.com\",\n                    \"max_tokens\": 1536,\n                    \"model_type\": \"embedding\"\n                },\n                \"MULTI_EMBEDDING_ID\": {},\n                \"RERANK_ID\": {},\n                \"VLM_ID\": {},\n                \"STT_ID\": {},\n                \"TTS_ID\": {}\n            }\n            return configs.get(config_key, {})\n\n        service_mocks['tenant_config_manager'].get_model_config.side_effect = side_effect\n\n        # Execute\n        result = build_models_config(tenant_id)\n\n        # Assert\n        assert isinstance(result, dict)\n        assert len(result) == 7  # All model types should be present\n\n        # Verify successful configs\n        assert result[\"llm\"][\"displayName\"] == \"GPT-4\"\n        assert result[\"llm\"][\"apiConfig\"][\"apiKey\"] == \"test-key\"\n\n        # Verify no warnings were logged (all successful)\n        service_mocks['logger'].warning.assert_not_called()\n\n    def test_build_models_config_all_failures(self, service_mocks):\n        \"\"\"Test build_models_config when all configurations fail\"\"\"\n        # Setup\n        tenant_id = \"test_tenant_id\"\n\n        # Mock all get_model_config calls to raise exceptions\n        service_mocks['tenant_config_manager'].get_model_config.side_effect = Exception(\n            \"Database completely down\")\n\n        # Execute\n        result = build_models_config(tenant_id)\n\n        # Assert\n        assert isinstance(result, dict)\n        # All model types should still be present with empty configs\n        assert len(result) == 7\n\n        # All configs should be empty due to exceptions\n        for model_key in [\"llm\", \"embedding\", \"multiEmbedding\", \"rerank\", \"vlm\", \"stt\", \"tts\"]:\n            assert result[model_key][\"name\"] == \"\"\n            assert result[model_key][\"displayName\"] == \"\"\n            assert result[model_key][\"apiConfig\"][\"apiKey\"] == \"\"\n            assert result[model_key][\"apiConfig\"][\"modelUrl\"] == \"\"\n\n        # Verify that logger.warning was called for each model type\n        assert service_mocks['logger'].warning.call_count == 7\n        warning_calls = service_mocks['logger'].warning.call_args_list\n        expected_configs = [\"LLM_ID\", \"EMBEDDING_ID\", \"MULTI_EMBEDDING_ID\",\n                            \"RERANK_ID\", \"VLM_ID\", \"STT_ID\", \"TTS_ID\"]\n        for i, config_key in enumerate(expected_configs):\n            assert f\"Failed to get config for {config_key}: Database completely down\" in warning_calls[\n                i][0][0]\n\n\nclass TestBuildAppConfig:\n    \"\"\"Test cases for build_app_config function\"\"\"\n\n    def test_build_app_config_english_with_values(self, service_mocks):\n        \"\"\"Test build_app_config with English language and all config values present\"\"\"\n        # Setup\n        language = \"en\"\n        tenant_id = \"test_tenant_id\"\n\n        # Mock all app config values\n        def mock_get_app_config(key, tenant_id=None):\n            config_map = {\n                \"APP_NAME\": \"Custom App Name\",\n                \"APP_DESCRIPTION\": \"Custom description\",\n                \"TENANT_NAME\": None,  # TENANT_NAME (use default)\n                \"DEFAULT_GROUP_ID\": None,  # DEFAULT_GROUP_ID (use default)\n                \"ICON_TYPE\": \"custom\",\n                \"ICON_KEY\": \"book\",\n                \"AVATAR_URI\": \"avatar-uri\",\n                \"CUSTOM_ICON_URL\": \"https://custom-icon.com\",\n                \"DATAMATE_URL\": \"https://datamate.example.com\"\n            }\n            return config_map.get(key)\n\n        service_mocks['tenant_config_manager'].get_app_config.side_effect = mock_get_app_config\n\n        # Mock MODEL_ENGINE_ENABLED\n        with patch('backend.services.config_sync_service.MODEL_ENGINE_ENABLED', 'false'):\n            # Execute\n            result = build_app_config(language, tenant_id)\n\n            # Assert\n            assert result[\"name\"] == \"Custom App Name\"\n            assert result[\"description\"] == \"Custom description\"\n            assert result[\"tenantName\"] == \"\"  # None returns default empty string\n            assert result[\"defaultGroupId\"] == \"\"  # None returns default empty string\n            assert result[\"icon\"][\"type\"] == \"custom\"\n            assert result[\"icon\"][\"iconKey\"] == \"book\"\n            assert result[\"icon\"][\"avatarUri\"] == \"avatar-uri\"\n            assert result[\"icon\"][\"customUrl\"] == \"https://custom-icon.com\"\n            assert result[\"modelEngineEnabled\"] == False\n\n        # Verify calls\n        expected_calls = [\n            (\"APP_NAME\", tenant_id),\n            (\"APP_DESCRIPTION\", tenant_id),\n            (\"TENANT_NAME\", tenant_id),\n            (\"DEFAULT_GROUP_ID\", tenant_id),\n            (\"ICON_TYPE\", tenant_id),\n            (\"ICON_KEY\", tenant_id),\n            (\"AVATAR_URI\", tenant_id),\n            (\"CUSTOM_ICON_URL\", tenant_id),\n            (\"DATAMATE_URL\", tenant_id)\n        ]\n        assert service_mocks['tenant_config_manager'].get_app_config.call_count == 9\n        service_mocks['tenant_config_manager'].get_app_config.assert_has_calls(\n            [call(key, tenant_id=tenant_id)\n             for key, _ in expected_calls]\n        )\n\n    def test_build_app_config_chinese_defaults(self, service_mocks):\n        \"\"\"Test build_app_config with Chinese language and no config values\"\"\"\n        # Setup\n        language = \"zh\"\n        tenant_id = \"test_tenant_id\"\n\n        # Mock all app config values to return None (use defaults)\n        service_mocks['tenant_config_manager'].get_app_config.return_value = None\n\n        # Mock MODEL_ENGINE_ENABLED\n        with patch('backend.services.config_sync_service.MODEL_ENGINE_ENABLED', 'false'):\n            # Execute\n            result = build_app_config(language, tenant_id)\n\n            # Assert - should use Chinese defaults\n            assert result[\"name\"] == \"Nexent 智能体\"  # DEFAULT_APP_NAME_ZH\n            # DEFAULT_APP_DESCRIPTION_ZH\n            assert result[\"description\"] == \"Nexent 是一个开源智能体平台，基于 MCP 工具生态系统，提供灵活的多模态问答、检索、数据分析、处理等能力。\"\n            assert result[\"icon\"][\"type\"] == \"preset\"\n            assert result[\"icon\"][\"iconKey\"] == \"search\"  # Default value\n            assert result[\"icon\"][\"avatarUri\"] == \"\"\n            assert result[\"icon\"][\"customUrl\"] == \"\"\n            assert result[\"modelEngineEnabled\"] == False\n\n    def test_build_app_config_english_defaults(self, service_mocks):\n        \"\"\"Test build_app_config with English language and no config values\"\"\"\n        # Setup\n        language = \"en\"\n        tenant_id = \"test_tenant_id\"\n\n        # Mock all app config values to return None (use defaults)\n        service_mocks['tenant_config_manager'].get_app_config.return_value = None\n\n        # Mock MODEL_ENGINE_ENABLED\n        with patch('backend.services.config_sync_service.MODEL_ENGINE_ENABLED', 'false'):\n            # Execute\n            result = build_app_config(language, tenant_id)\n\n            # Assert - should use English defaults\n            assert result[\"name\"] == \"Nexent Agent\"  # DEFAULT_APP_NAME_EN\n            # DEFAULT_APP_DESCRIPTION_EN\n            assert result[\"description\"] == \"Nexent is an open-source agent platform built on the MCP tool ecosystem, providing flexible multi-modal Q&A, retrieval, data analysis, and processing capabilities.\"\n            assert result[\"icon\"][\"type\"] == \"preset\"\n            assert result[\"icon\"][\"iconKey\"] == \"search\"  # Default value\n            assert result[\"icon\"][\"avatarUri\"] == \"\"\n            assert result[\"icon\"][\"customUrl\"] == \"\"\n            assert result[\"modelEngineEnabled\"] == False\n\n    def test_build_app_config_partial_values(self, service_mocks):\n        \"\"\"Test build_app_config with some config values present and some missing\"\"\"\n        # Setup\n        language = \"en\"\n        tenant_id = \"test_tenant_id\"\n\n        # Mock partial app config values\n        def side_effect(config_key, tenant_id=None):\n            config_map = {\n                \"APP_NAME\": \"Custom App Name\",\n                \"APP_DESCRIPTION\": None,  # Will use default\n                \"ICON_TYPE\": \"custom\",\n                \"ICON_KEY\": \"globe2\",\n                \"AVATAR_URI\": None,  # Will use empty string\n                \"CUSTOM_ICON_URL\": \"https://custom-icon.com\"\n            }\n            return config_map.get(config_key)\n\n        service_mocks['tenant_config_manager'].get_app_config.side_effect = side_effect\n\n        # Mock MODEL_ENGINE_ENABLED\n        with patch('backend.services.config_sync_service.MODEL_ENGINE_ENABLED', 'false'):\n            # Execute\n            result = build_app_config(language, tenant_id)\n\n            # Assert\n            assert result[\"name\"] == \"Custom App Name\"\n            # Default\n            assert result[\"description\"] == \"Nexent is an open-source agent platform built on the MCP tool ecosystem, providing flexible multi-modal Q&A, retrieval, data analysis, and processing capabilities.\"\n            assert result[\"icon\"][\"type\"] == \"custom\"\n            assert result[\"icon\"][\"iconKey\"] == \"globe2\"\n            assert result[\"icon\"][\"avatarUri\"] == \"\"  # Default empty\n            assert result[\"icon\"][\"customUrl\"] == \"https://custom-icon.com\"\n            assert result[\"modelEngineEnabled\"] == False\n\n    def test_build_app_config_exception_handling(self, service_mocks):\n        \"\"\"Test build_app_config when get_app_config raises exception\"\"\"\n        # Setup\n        language = \"en\"\n        tenant_id = \"test_tenant_id\"\n\n        # Mock get_app_config to raise exception\n        service_mocks['tenant_config_manager'].get_app_config.side_effect = Exception(\n            \"Database timeout\")\n\n        # Execute and assert exception is raised (since this function doesn't handle exceptions internally)\n        with pytest.raises(Exception) as exc_info:\n            build_app_config(language, tenant_id)\n\n        assert \"Database timeout\" in str(exc_info.value)\n\n    def test_build_app_config_with_icon_key(self, service_mocks):\n        \"\"\"Test build_app_config with iconKey value present\"\"\"\n        # Setup\n        language = \"en\"\n        tenant_id = \"test_tenant_id\"\n\n        # Mock all app config values including ICON_KEY\n        def mock_get_app_config(key, tenant_id=None):\n            config_map = {\n                \"APP_NAME\": \"Custom App Name\",\n                \"APP_DESCRIPTION\": \"Custom description\",\n                \"TENANT_NAME\": None,\n                \"DEFAULT_GROUP_ID\": None,\n                \"ICON_TYPE\": \"preset\",\n                \"ICON_KEY\": \"keyboard\",\n                \"AVATAR_URI\": \"avatar-uri\",\n                \"CUSTOM_ICON_URL\": \"https://custom-icon.com\",\n                \"DATAMATE_URL\": \"https://datamate.example.com\"\n            }\n            return config_map.get(key)\n\n        service_mocks['tenant_config_manager'].get_app_config.side_effect = mock_get_app_config\n\n        # Mock MODEL_ENGINE_ENABLED\n        with patch('backend.services.config_sync_service.MODEL_ENGINE_ENABLED', 'false'):\n            # Execute\n            result = build_app_config(language, tenant_id)\n\n            # Assert - verify iconKey is returned correctly\n            assert result[\"name\"] == \"Custom App Name\"\n            assert result[\"icon\"][\"type\"] == \"preset\"\n            assert result[\"icon\"][\"iconKey\"] == \"keyboard\"\n            assert result[\"icon\"][\"avatarUri\"] == \"avatar-uri\"\n            assert result[\"icon\"][\"customUrl\"] == \"https://custom-icon.com\"\n\n        # Verify ICON_KEY was called\n        service_mocks['tenant_config_manager'].get_app_config.assert_any_call(\n            \"ICON_KEY\", tenant_id=tenant_id\n        )\n\n    def test_build_app_config_icon_key_defaults(self, service_mocks):\n        \"\"\"Test build_app_config with iconKey missing (should use default 'search')\"\"\"\n        # Setup\n        language = \"en\"\n        tenant_id = \"test_tenant_id\"\n\n        # Mock app config values without ICON_KEY\n        def mock_get_app_config(key, tenant_id=None):\n            config_map = {\n                \"APP_NAME\": \"Test App\",\n                \"APP_DESCRIPTION\": \"Test description\",\n                \"TENANT_NAME\": None,\n                \"DEFAULT_GROUP_ID\": None,\n                \"ICON_TYPE\": \"preset\",\n                # ICON_KEY not present - should default to \"search\"\n                \"AVATAR_URI\": \"\",\n                \"CUSTOM_ICON_URL\": \"\",\n                \"DATAMATE_URL\": \"\"\n            }\n            return config_map.get(key)\n\n        service_mocks['tenant_config_manager'].get_app_config.side_effect = mock_get_app_config\n\n        # Mock MODEL_ENGINE_ENABLED\n        with patch('backend.services.config_sync_service.MODEL_ENGINE_ENABLED', 'false'):\n            # Execute\n            result = build_app_config(language, tenant_id)\n\n            # Assert - verify iconKey defaults to \"search\"\n            assert result[\"name\"] == \"Test App\"\n            assert result[\"icon\"][\"type\"] == \"preset\"\n            assert result[\"icon\"][\"iconKey\"] == \"search\"  # Default value\n\n    def test_build_app_config_all_icon_fields(self, service_mocks):\n        \"\"\"Test build_app_config with all icon-related fields present\"\"\"\n        # Setup\n        language = \"zh\"\n        tenant_id = \"test_tenant_id\"\n\n        # Mock all icon-related config values\n        def mock_get_app_config(key, tenant_id=None):\n            config_map = {\n                \"APP_NAME\": \"Test App\",\n                \"APP_DESCRIPTION\": \"Test description\",\n                \"TENANT_NAME\": None,\n                \"DEFAULT_GROUP_ID\": None,\n                \"ICON_TYPE\": \"custom\",\n                \"ICON_KEY\": \"lightbulb\",\n                \"AVATAR_URI\": \"generated-avatar-uri\",\n                \"CUSTOM_ICON_URL\": \"https://example.com/custom.png\",\n                \"DATAMATE_URL\": \"\"\n            }\n            return config_map.get(key)\n\n        service_mocks['tenant_config_manager'].get_app_config.side_effect = mock_get_app_config\n\n        # Mock MODEL_ENGINE_ENABLED\n        with patch('backend.services.config_sync_service.MODEL_ENGINE_ENABLED', 'false'):\n            # Execute\n            result = build_app_config(language, tenant_id)\n\n            # Assert - verify all icon fields\n            assert result[\"icon\"][\"type\"] == \"custom\"\n            assert result[\"icon\"][\"iconKey\"] == \"lightbulb\"\n            assert result[\"icon\"][\"avatarUri\"] == \"generated-avatar-uri\"\n            assert result[\"icon\"][\"customUrl\"] == \"https://example.com/custom.png\"\n\n\nclass TestBuildModelConfig:\n    \"\"\"Test cases for build_model_config function\"\"\"\n\n    def test_build_model_config_empty_config(self, service_mocks):\n        \"\"\"Test build_model_config with empty/None config\"\"\"\n        # Test with None\n        result = build_model_config(None)\n        assert result == {\n            \"name\": \"\",\n            \"displayName\": \"\",\n            \"apiConfig\": {\n                \"apiKey\": \"\",\n                \"modelUrl\": \"\"\n            }\n        }\n\n        # Test with empty dict\n        result = build_model_config({})\n        assert result == {\n            \"name\": \"\",\n            \"displayName\": \"\",\n            \"apiConfig\": {\n                \"apiKey\": \"\",\n                \"modelUrl\": \"\"\n            }\n        }\n\n    def test_build_model_config_non_embedding_model(self, service_mocks):\n        \"\"\"Test build_model_config with non-embedding model config\"\"\"\n        # Setup\n        model_config = {\n            \"display_name\": \"GPT-4\",\n            \"api_key\": \"test-api-key\",\n            \"base_url\": \"https://api.openai.com\",\n            \"model_type\": \"llm\",\n            \"max_tokens\": 4096\n        }\n\n        # Mock get_model_name_from_config\n        service_mocks['get_model_name'].return_value = \"gpt-4\"\n\n        # Execute\n        result = build_model_config(model_config)\n\n        # Assert\n        assert result[\"name\"] == \"gpt-4\"\n        assert result[\"displayName\"] == \"GPT-4\"\n        assert result[\"apiConfig\"][\"apiKey\"] == \"test-api-key\"\n        assert result[\"apiConfig\"][\"modelUrl\"] == \"https://api.openai.com\"\n        # Should not have dimension field for non-embedding models\n        assert \"dimension\" not in result\n\n    def test_build_model_config_embedding_model(self, service_mocks):\n        \"\"\"Test build_model_config with embedding model config\"\"\"\n        # Setup\n        model_config = {\n            \"display_name\": \"Ada Embeddings\",\n            \"api_key\": \"test-api-key\",\n            \"base_url\": \"https://api.openai.com\",\n            \"model_type\": \"embedding\",\n            \"max_tokens\": 1536\n        }\n\n        # Mock get_model_name_from_config\n        service_mocks['get_model_name'].return_value = \"text-embedding-ada-002\"\n\n        # Execute\n        result = build_model_config(model_config)\n\n        # Assert\n        assert result[\"name\"] == \"text-embedding-ada-002\"\n        assert result[\"displayName\"] == \"Ada Embeddings\"\n        assert result[\"apiConfig\"][\"apiKey\"] == \"test-api-key\"\n        assert result[\"apiConfig\"][\"modelUrl\"] == \"https://api.openai.com\"\n        # Should have dimension field for embedding models\n        assert result[\"dimension\"] == 1536\n\n    def test_build_model_config_multi_embedding_model(self, service_mocks):\n        \"\"\"Test build_model_config with multi_embedding model config\"\"\"\n        # Setup\n        model_config = {\n            \"display_name\": \"Multi Ada Embeddings\",\n            \"api_key\": \"test-api-key\",\n            \"base_url\": \"https://api.openai.com\",\n            \"model_type\": \"multi_embedding\",\n            \"max_tokens\": 768\n        }\n\n        # Mock get_model_name_from_config\n        service_mocks['get_model_name'].return_value = \"text-embedding-3-small\"\n\n        # Execute\n        result = build_model_config(model_config)\n\n        # Assert\n        assert result[\"name\"] == \"text-embedding-3-small\"\n        assert result[\"displayName\"] == \"Multi Ada Embeddings\"\n        assert result[\"apiConfig\"][\"apiKey\"] == \"test-api-key\"\n        assert result[\"apiConfig\"][\"modelUrl\"] == \"https://api.openai.com\"\n        # Should have dimension field for multi_embedding models\n        assert result[\"dimension\"] == 768\n\n    def test_build_model_config_partial_fields(self, service_mocks):\n        \"\"\"Test build_model_config with partial fields missing\"\"\"\n        # Setup\n        model_config = {\n            \"display_name\": \"Test Model\",\n            # api_key and base_url are missing\n            \"model_type\": \"llm\"\n        }\n\n        # Mock get_model_name_from_config\n        service_mocks['get_model_name'].return_value = \"test-model\"\n\n        # Execute\n        result = build_model_config(model_config)\n\n        # Assert\n        assert result[\"name\"] == \"test-model\"\n        assert result[\"displayName\"] == \"Test Model\"\n        assert result[\"apiConfig\"][\"apiKey\"] == \"\"  # Default empty\n        assert result[\"apiConfig\"][\"modelUrl\"] == \"\"  # Default empty\n        assert \"dimension\" not in result  # No dimension for llm\n\n    def test_build_model_config_embedding_without_max_tokens(self, service_mocks):\n        \"\"\"Test build_model_config with embedding model but no max_tokens\"\"\"\n        # Setup\n        model_config = {\n            \"display_name\": \"Test Embedding\",\n            \"api_key\": \"test-key\",\n            \"base_url\": \"https://test.com\",\n            \"model_type\": \"embedding\"\n            # max_tokens is missing\n        }\n\n        # Mock get_model_name_from_config\n        service_mocks['get_model_name'].return_value = \"test-embedding\"\n\n        # Execute\n        result = build_model_config(model_config)\n\n        # Assert\n        assert result[\"name\"] == \"test-embedding\"\n        assert result[\"displayName\"] == \"Test Embedding\"\n        assert result[\"apiConfig\"][\"apiKey\"] == \"test-key\"\n        assert result[\"apiConfig\"][\"modelUrl\"] == \"https://test.com\"\n        # Should have dimension field with default value 0\n        assert result[\"dimension\"] == 0\n\n    def test_build_model_config_model_type_partial_match(self, service_mocks):\n        \"\"\"Test build_model_config with model_type that partially contains 'embedding'\"\"\"\n        # Setup\n        model_config = {\n            \"display_name\": \"Test Model\",\n            \"api_key\": \"test-key\",\n            \"model_type\": \"some_embedding_type\",  # Contains 'embedding'\n            \"max_tokens\": 512\n        }\n\n        # Mock get_model_name_from_config\n        service_mocks['get_model_name'].return_value = \"test-model\"\n\n        # Execute\n        result = build_model_config(model_config)\n\n        # Assert\n        assert result[\"name\"] == \"test-model\"\n        assert result[\"displayName\"] == \"Test Model\"\n        assert result[\"apiConfig\"][\"apiKey\"] == \"test-key\"\n        # Should have dimension since model_type contains 'embedding'\n        assert result[\"dimension\"] == 512\n"
  },
  {
    "path": "test/backend/services/test_conversation_management_service.py",
    "content": "import sys\nimport types\nfrom unittest.mock import patch\n\n# Mock storage client factory and MinIO config before any imports that would initialize MinIO\nfrom unittest.mock import MagicMock\nstorage_client_mock = MagicMock()\nminio_client_mock = MagicMock()\npatch('nexent.storage.storage_client_factory.create_storage_client_from_config', return_value=storage_client_mock).start()\npatch('nexent.storage.minio_config.MinIOStorageConfig.validate', lambda self: None).start()\npatch('backend.database.client.MinioClient', return_value=minio_client_mock).start()\n\n# Mock boto3 before any imports\nboto3_mock = types.SimpleNamespace()\nsys.modules['boto3'] = boto3_mock\n\ndef _stub_nexent_openai_model():\n    # Provide a simple OpenAIModel stub for import-time safety\n    mod = types.ModuleType(\"nexent.core.models\")\n    class Stub:\n        def __init__(self, *a, **k):\n            self.generated = None\n        def generate(self, messages):\n            # record messages for assertion and return object with content\n            self.generated = messages\n            return types.SimpleNamespace(content=\"The Title\")\n    mod.OpenAIModel = Stub\n    sys.modules[\"nexent.core.models\"] = mod\n\n_stub_nexent_openai_model()\n\n# Stub jinja2 to avoid importing the dependency during tests\njinja2_mod = types.ModuleType(\"jinja2\")\nclass StrictUndefined:\n    pass\nclass Template:\n    def __init__(self, text, undefined=None):\n        self.text = text\n    def render(self, ctx):\n        # very small render: replace {{content}} occurrence\n        return self.text.replace(\"{{content}}\", ctx.get(\"content\", \"\"))\njinja2_mod.StrictUndefined = StrictUndefined\njinja2_mod.Template = Template\nsys.modules[\"jinja2\"] = jinja2_mod\n# Stub nexent.core.agents.agent_model to satisfy imports in consts.model\nagent_model_mod = types.ModuleType(\"nexent.core.agents.agent_model\")\nagent_model_mod.ToolConfig = object\nsys.modules[\"nexent.core.agents\"] = types.ModuleType(\"nexent.core.agents\")\nsys.modules[\"nexent.core.agents.agent_model\"] = agent_model_mod\n# Stub nexent.core.utils.observer ProcessType and MessageObserver used by conversation service\nobserver_mod = types.ModuleType(\"nexent.core.utils.observer\")\nobserver_mod.MessageObserver = lambda *a, **k: types.SimpleNamespace(add_model_new_token=lambda t: None, add_model_reasoning_content=lambda r: None, flush_remaining_tokens=lambda: None)\nobserver_mod.ProcessType = types.SimpleNamespace(MODEL_OUTPUT_CODE=types.SimpleNamespace(value=\"model_output_code\"), MODEL_OUTPUT_THINKING=types.SimpleNamespace(value=\"model_output_thinking\"))\nsys.modules[\"nexent.core.utils.observer\"] = observer_mod\n\n# Stub nexent.core.models.embedding_model to avoid import errors\nembedding_mod = types.ModuleType(\"nexent.core.models.embedding_model\")\nembedding_mod.BaseEmbedding = object\nembedding_mod.OpenAICompatibleEmbedding = object\nembedding_mod.JinaEmbedding = object\nsys.modules[\"nexent.core.models.embedding_model\"] = embedding_mod\n#\n# Stub consts.model to avoid pydantic/email-validator heavy imports during tests.\nconsts_model_mod = types.ModuleType(\"consts.model\")\nclass AgentRequest:\n    def __init__(self, **kwargs):\n        for k, v in kwargs.items():\n            setattr(self, k, v)\nclass ConversationResponse:\n    def __init__(self, code=0, message=\"\", data=None):\n        self.code = code\n        self.message = message\n        self.data = data\nclass MessageUnit:\n    def __init__(self, type=\"\", content=\"\"):\n        self.type = type\n        self.content = content\nclass MessageRequest:\n    def __init__(self, conversation_id=None, message_idx=None, role=None, message=None, minio_files=None):\n        self.conversation_id = conversation_id\n        self.message_idx = message_idx\n        self.role = role\n        self.message = message\n        self.minio_files = minio_files\n    def model_dump(self):\n        return {\n            \"conversation_id\": self.conversation_id,\n            \"message_idx\": self.message_idx,\n            \"role\": self.role,\n            \"message\": [m.__dict__ if hasattr(m, \"__dict__\") else m for m in (self.message or [])],\n            \"minio_files\": self.minio_files,\n        }\n\nconsts_model_mod.AgentRequest = AgentRequest\nconsts_model_mod.ConversationResponse = ConversationResponse\nconsts_model_mod.MessageUnit = MessageUnit\nconsts_model_mod.MessageRequest = MessageRequest\nsys.modules[\"consts.model\"] = consts_model_mod\n# Also ensure backend.consts.model resolves to our stub for tests that import via backend.consts.model\nsys.modules[\"backend.consts.model\"] = consts_model_mod\n\n# Stub database.client to avoid import-time DB helpers\ndb_client_stub = types.ModuleType(\"database.client\")\ndb_client_stub.as_dict = lambda obj: {}\n\n# Minimal dummy db_client with clean_string_values and session_maker to satisfy imports.\ndb_client_stub.db_client = types.SimpleNamespace(\n    clean_string_values=lambda d: d,\n    session_maker=lambda: None\n)\n\n# Provide a simple context manager compatible get_db_session used with `with get_db_session() as session:`\nclass _DummySessionCM:\n    def __enter__(self):\n        # Return a minimal session-like object with methods used in tests (execute, scalars, commit/rollback/close)\n        return types.SimpleNamespace(\n            execute=lambda *a, **k: types.SimpleNamespace(rowcount=0),\n            scalars=lambda *a, **k: types.SimpleNamespace(all=lambda: []),\n            commit=lambda: None,\n            rollback=lambda: None,\n            close=lambda: None,\n        )\n\n    def __exit__(self, exc_type, exc, tb):\n        return False\n\ndb_client_stub.get_db_session = lambda *a, **k: _DummySessionCM()\nsys.modules[\"database.client\"] = db_client_stub\n\n# Stub utils.prompt_template_utils to avoid requiring PyYAML\nprompt_mod = types.ModuleType(\"utils.prompt_template_utils\")\nprompt_mod.get_generate_title_prompt_template = lambda language=\"zh\": {\"USER_PROMPT\":\"{{question}}\", \"SYSTEM_PROMPT\":\"SYS\"}\nsys.modules[\"utils.prompt_template_utils\"] = prompt_mod\n\n\nfrom backend.consts.model import MessageRequest, AgentRequest, MessageUnit\nimport unittest\nimport json\nimport asyncio\nimport os\nfrom datetime import datetime\nfrom unittest.mock import patch, MagicMock\n\n# Environment variables are now configured in conftest.py\n\nwith patch('backend.database.client.MinioClient', return_value=minio_client_mock):\n    from backend.services.conversation_management_service import (\n        save_message,\n        save_conversation_user,\n        save_conversation_assistant,\n        call_llm_for_title,\n        update_conversation_title,\n        create_new_conversation,\n        get_conversation_list_service,\n        rename_conversation_service,\n        delete_conversation_service,\n        get_conversation_history_service,\n        get_sources_service,\n        generate_conversation_title_service,\n        update_message_opinion_service,\n        get_message_id_by_index_impl\n    )\n\n\nclass TestConversationManagementService(unittest.TestCase):\n    def setUp(self):\n        \"\"\"\n        Set up test data and reset all mocks before each test.\n        \"\"\"\n        self.tenant_id = \"test_tenant_id\"\n        self.user_id = \"test_user_id\"\n\n        # Reset all mocks before each test\n        minio_client_mock.reset_mock()\n\n    @patch('backend.services.conversation_management_service.create_conversation_message')\n    @patch('backend.services.conversation_management_service.create_source_image')\n    def test_save_message_picture_web_invalid_json(self, mock_create_image, mock_create_msg):\n        mock_create_msg.return_value = 1\n        message_request = MessageRequest(\n            conversation_id=456,\n            message_idx=99,\n            role=\"assistant\",\n            message=[MessageUnit(type=\"picture_web\", content=\"not a valid json\")],\n            minio_files=[]\n        )\n        result = save_message(\n            message_request, user_id=self.user_id, tenant_id=self.tenant_id)\n        self.assertEqual(result.code, 0)\n        mock_create_image.assert_not_called()\n\n    def test_get_sources_service_no_id(self):\n        \"\"\"Should return error when both conversation_id and message_id are None.\"\"\"\n        result = get_sources_service(None, None, user_id=self.user_id)\n        self.assertEqual(result['code'], 400)\n        self.assertEqual(result['message'], \"Must provide conversation_id or message_id parameter\")\n\n    @patch('backend.services.conversation_management_service.create_conversation_message')\n    @patch('backend.services.conversation_management_service.create_source_search')\n    @patch('backend.services.conversation_management_service.create_source_image')\n    @patch('backend.services.conversation_management_service.create_message_units')\n    def test_save_message_with_string_content(self, mock_create_message_units, mock_create_source_image,\n                                              mock_create_source_search, mock_create_conversation_message):\n        # Setup\n        mock_create_conversation_message.return_value = 123  # message_id\n\n        # Create message request with string content\n        message_request = MessageRequest(\n            conversation_id=456,\n            message_idx=1,\n            role=\"user\",\n            message=[MessageUnit(\n                type=\"string\", content=\"Hello, this is a test message\")],\n            minio_files=[]\n        )\n\n        # Execute\n        result = save_message(\n            message_request, user_id=self.user_id, tenant_id=self.tenant_id)\n\n        # Assert\n        self.assertEqual(result.code, 0)\n        self.assertEqual(result.message, \"success\")\n        self.assertTrue(result.data)\n\n        # Check if create_conversation_message was called with correct params\n        mock_create_conversation_message.assert_called_once()\n        call_args = mock_create_conversation_message.call_args[0][0]\n        self.assertEqual(call_args['conversation_id'], 456)\n        self.assertEqual(call_args['message_idx'], 1)\n        self.assertEqual(call_args['role'], \"user\")\n        self.assertEqual(call_args['content'], \"Hello, this is a test message\")\n\n        # Check that other methods were not called\n        mock_create_message_units.assert_not_called()\n        mock_create_source_image.assert_not_called()\n        mock_create_source_search.assert_not_called()\n\n    @patch('backend.services.conversation_management_service.create_conversation_message')\n    @patch('backend.services.conversation_management_service.create_source_search')\n    @patch('backend.services.conversation_management_service.create_message_units')\n    def test_save_message_with_search_content(self, mock_create_message_units, mock_create_source_search,\n                                              mock_create_conversation_message):\n        # Setup\n        mock_create_conversation_message.return_value = 123  # message_id\n\n        # Create message with search content\n        search_content = json.dumps([{\n            \"source_type\": \"web\",\n            \"title\": \"Test Result\",\n            \"url\": \"https://example.com\",\n            \"text\": \"Example search result\",\n            \"score\": \"0.95\",\n            \"score_details\": {\"accuracy\": \"0.9\", \"semantic\": \"0.8\"},\n            \"published_date\": \"2023-01-15\",\n            \"cite_index\": 1,\n            \"search_type\": \"web_search\",\n            \"tool_sign\": \"web_search\"\n        }])\n\n        message_request = MessageRequest(\n            conversation_id=456,\n            message_idx=2,\n            role=\"assistant\",\n            message=[\n                MessageUnit(type=\"string\",\n                            content=\"Here are the search results\"),\n                MessageUnit(type=\"search_content\", content=search_content)\n            ],\n            minio_files=[]\n        )\n\n        # Execute\n        result = save_message(\n            message_request, user_id=self.user_id, tenant_id=self.tenant_id)\n\n        # Assert\n        self.assertEqual(result.code, 0)\n        self.assertTrue(result.data)\n\n        # Check correct message was created\n        mock_create_conversation_message.assert_called_once()\n        call_args = mock_create_conversation_message.call_args[0][0]\n        self.assertEqual(call_args['content'], \"Here are the search results\")\n\n        # Check search content was saved\n        mock_create_source_search.assert_called_once()\n        search_data = mock_create_source_search.call_args[0][0]\n        self.assertEqual(search_data['message_id'], 123)\n        self.assertEqual(search_data['conversation_id'], 456)\n        self.assertEqual(search_data['source_type'], \"web\")\n        self.assertEqual(search_data['score_overall'], 0.95)\n\n        # Check message units were created with placeholder\n        mock_create_message_units.assert_called_once()\n        units = mock_create_message_units.call_args[0][0]\n        self.assertEqual(len(units), 1)\n        self.assertEqual(units[0]['type'], 'search_content_placeholder')\n\n    @patch('backend.services.conversation_management_service.create_conversation_message')\n    @patch('backend.services.conversation_management_service.create_source_image')\n    @patch('backend.services.conversation_management_service.create_message_units')\n    def test_save_message_with_picture_web(self, mock_create_message_units, mock_create_source_image, mock_create_conversation_message):\n        \"\"\"Ensure picture_web units trigger create_source_image and not message_units creation.\"\"\"\n        # Setup\n        mock_create_conversation_message.return_value = 789  # message_id\n\n        images_payload = json.dumps({\n            \"images_url\": [\n                \"https://example.com/img1.jpg\",\n                \"https://example.com/img2.jpg\"\n            ]\n        })\n\n        message_request = MessageRequest(\n            conversation_id=456,\n            message_idx=3,\n            role=\"assistant\",\n            message=[\n                MessageUnit(type=\"string\", content=\"Here are some images\"),\n                MessageUnit(type=\"picture_web\", content=images_payload)\n            ],\n            minio_files=[]\n        )\n\n        # Execute\n        result = save_message(\n            message_request, user_id=self.user_id, tenant_id=self.tenant_id)\n\n        # Assert base result\n        self.assertEqual(result.code, 0)\n        self.assertTrue(result.data)\n\n        # create_conversation_message called once\n        mock_create_conversation_message.assert_called_once()\n        # create_source_image called twice for two images\n        self.assertEqual(mock_create_source_image.call_count, 2)\n        calls = mock_create_source_image.call_args_list\n        called_urls = [call.args[0]['image_url'] for call in calls]\n        self.assertIn(\"https://example.com/img1.jpg\", called_urls)\n        self.assertIn(\"https://example.com/img2.jpg\", called_urls)\n        # ensure conversation_id and message_id in payload\n        for call in calls:\n            payload = call.args[0]\n            self.assertEqual(payload['conversation_id'], 456)\n            self.assertEqual(payload['message_id'], 789)\n\n        # create_message_units should not be called for picture_web\n        mock_create_message_units.assert_not_called()\n\n    @patch('backend.services.conversation_management_service.save_message')\n    def test_save_conversation_user(self, mock_save_message):\n        # Setup\n        agent_request = AgentRequest(\n            conversation_id=123,\n            query=\"What is machine learning?\",\n            minio_files=[],\n            history=[\n                {\"role\": \"user\", \"content\": \"Hello\"},\n                {\"role\": \"assistant\", \"content\": \"Hi there\"}\n            ]\n        )\n\n        # Execute\n        save_conversation_user(agent_request, self.user_id, self.tenant_id)\n\n        # Assert\n        mock_save_message.assert_called_once()\n        request_arg = mock_save_message.call_args[0][0]\n        self.assertEqual(request_arg.conversation_id, 123)\n        # Based on 1 user message in history\n        self.assertEqual(request_arg.message_idx, 2)\n        self.assertEqual(request_arg.role, \"user\")\n        self.assertEqual(request_arg.message[0].type, \"string\")\n        self.assertEqual(\n            request_arg.message[0].content, \"What is machine learning?\")\n\n    @patch('backend.services.conversation_management_service.save_message')\n    def test_save_conversation_assistant(self, mock_save_message):\n        # Setup\n        agent_request = AgentRequest(\n            conversation_id=123,\n            query=\"What is machine learning?\",\n            minio_files=[],\n            history=[\n                {\"role\": \"user\", \"content\": \"Hello\"},\n                {\"role\": \"assistant\", \"content\": \"Hi there\"}\n            ]\n        )\n\n        messages = [\n            json.dumps({\"type\": \"model_output_thinking\",\n                       \"content\": \"Machine learning is \"}),\n            json.dumps({\"type\": \"model_output_thinking\",\n                       \"content\": \"a field of AI\"})\n        ]\n\n        # Execute\n        save_conversation_assistant(\n            agent_request, messages, self.user_id, self.tenant_id)\n\n        # Assert\n        mock_save_message.assert_called_once()\n        request_arg = mock_save_message.call_args[0][0]\n        self.assertEqual(request_arg.conversation_id, 123)\n        # Based on 1 user message in history + current\n        self.assertEqual(request_arg.message_idx, 3)\n        self.assertEqual(request_arg.role, \"assistant\")\n        # Check that consecutive model_output_thinking messages were merged\n        self.assertEqual(len(request_arg.message), 1)\n        first_unit = request_arg.message[0]\n        unit_type = getattr(first_unit, \"type\", None) or (first_unit.get(\"type\") if isinstance(first_unit, dict) else None)\n        self.assertEqual(unit_type, \"model_output_thinking\")\n        first_unit = request_arg.message[0]\n        unit_content = getattr(first_unit, \"content\", None) or (first_unit.get(\"content\") if isinstance(first_unit, dict) else None)\n        self.assertEqual(unit_content, \"Machine learning is a field of AI\")\n\n    @patch('backend.services.conversation_management_service.OpenAIModel')\n    @patch('backend.services.conversation_management_service.get_generate_title_prompt_template')\n    @patch('backend.services.conversation_management_service.tenant_config_manager.get_model_config')\n    def test_call_llm_for_title(self, mock_get_model_config, mock_get_prompt_template, mock_openai):\n        # Setup\n        mock_get_model_config.return_value = {\n            \"model_name\": \"gpt-4\",\n            \"model_repo\": \"openai\",\n            \"base_url\": \"http://example.com\",\n            \"api_key\": \"fake-key\"\n        }\n\n        mock_prompt_template = {\n            \"SYSTEM_PROMPT\": \"Generate a short title\",\n            \"USER_PROMPT\": \"Generate a title for: {{question}}\"\n        }\n        mock_get_prompt_template.return_value = mock_prompt_template\n\n        mock_llm_instance = mock_openai.return_value\n        mock_response = MagicMock()\n        mock_response.content = \"AI Discussion\"\n        mock_llm_instance.generate.return_value = mock_response\n\n        # Execute\n        result = call_llm_for_title(\n            \"What is AI? AI stands for Artificial Intelligence.\", tenant_id=self.tenant_id)\n\n        # Assert\n        self.assertEqual(result, \"AI Discussion\")\n        mock_openai.assert_called_once()\n        mock_llm_instance.generate.assert_called_once()\n        mock_get_prompt_template.assert_called_once_with(language='zh')\n\n    @patch('backend.services.conversation_management_service.rename_conversation')\n    def test_update_conversation_title(self, mock_rename_conversation):\n        # Setup\n        mock_rename_conversation.return_value = True\n\n        # Execute\n        result = update_conversation_title(123, \"New Title\", self.user_id)\n\n        # Assert\n        self.assertTrue(result)\n        mock_rename_conversation.assert_called_once_with(\n            123, \"New Title\", self.user_id)\n\n    @patch('backend.services.conversation_management_service.create_conversation')\n    def test_create_new_conversation(self, mock_create_conversation):\n        # Setup\n        mock_create_conversation.return_value = {\n            \"conversation_id\": 123, \"title\": \"New Chat\", \"create_time\": \"2023-04-01\"}\n\n        # Execute\n        result = create_new_conversation(\"New Chat\", self.user_id)\n\n        # Assert\n        self.assertEqual(result[\"conversation_id\"], 123)\n        self.assertEqual(result[\"title\"], \"New Chat\")\n        mock_create_conversation.assert_called_once_with(\n            \"New Chat\", self.user_id)\n\n    @patch('backend.services.conversation_management_service.get_conversation_list')\n    def test_get_conversation_list_service(self, mock_get_conversation_list):\n        # Setup\n        mock_conversations = [\n            {\"conversation_id\": 1, \"title\": \"Chat 1\", \"create_time\": \"2023-04-01\"},\n            {\"conversation_id\": 2, \"title\": \"Chat 2\", \"create_time\": \"2023-04-02\"}\n        ]\n        mock_get_conversation_list.return_value = mock_conversations\n\n        # Execute\n        result = get_conversation_list_service(self.user_id)\n\n        # Assert\n        self.assertEqual(len(result), 2)\n        self.assertEqual(result[0][\"conversation_id\"], 1)\n        self.assertEqual(result[1][\"title\"], \"Chat 2\")\n        mock_get_conversation_list.assert_called_once_with(self.user_id)\n\n    @patch('backend.services.conversation_management_service.rename_conversation')\n    def test_rename_conversation_service(self, mock_rename_conversation):\n        # Setup\n        mock_rename_conversation.return_value = True\n\n        # Execute\n        rename_conversation_service(123, \"Updated Title\", self.user_id)\n\n        # Assert\n        mock_rename_conversation.assert_called_once_with(\n            123, \"Updated Title\", self.user_id)\n\n    @patch('backend.services.conversation_management_service.delete_conversation')\n    def test_delete_conversation_service(self, mock_delete_conversation):\n        # Setup\n        mock_delete_conversation.return_value = True\n\n        # Execute\n        delete_conversation_service(123, self.user_id)\n\n        # Assert\n        mock_delete_conversation.assert_called_once_with(123, self.user_id)\n\n    @patch('backend.services.conversation_management_service.get_conversation_history')\n    def test_get_conversation_history_service(self, mock_get_conversation_history):\n        # Setup\n        mock_history = {\n            \"conversation_id\": 123,\n            \"create_time\": \"2023-04-01\",\n            \"message_records\": [\n                {\n                    \"message_id\": 1,\n                    \"role\": \"user\",\n                    \"message_content\": \"What is AI?\",\n                    \"minio_files\": [],\n                    \"units\": []\n                },\n                {\n                    \"message_id\": 2,\n                    \"role\": \"assistant\",\n                    \"message_content\": \"AI stands for Artificial Intelligence.\",\n                    \"units\": [],\n                    \"opinion_flag\": None\n                }\n            ],\n            \"search_records\": [],\n            \"image_records\": []\n        }\n        mock_get_conversation_history.return_value = mock_history\n\n        # Execute\n        result = get_conversation_history_service(123, self.user_id)\n\n        # Assert\n        self.assertEqual(len(result), 1)  # Result is wrapped in a list\n        self.assertEqual(result[0][\"conversation_id\"],\n                         \"123\")  # Converted to string\n        self.assertEqual(len(result[0][\"message\"]), 2)\n        # Check message structure\n        user_message = result[0][\"message\"][0]\n        self.assertEqual(user_message[\"role\"], \"user\")\n        self.assertEqual(user_message[\"message\"], \"What is AI?\")\n\n        assistant_message = result[0][\"message\"][1]\n        self.assertEqual(assistant_message[\"role\"], \"assistant\")\n        # Contains final_answer unit\n        self.assertEqual(len(assistant_message[\"message\"]), 1)\n        self.assertEqual(\n            assistant_message[\"message\"][0][\"type\"], \"final_answer\")\n        self.assertEqual(\n            assistant_message[\"message\"][0][\"content\"], \"AI stands for Artificial Intelligence.\")\n\n    @patch('backend.services.conversation_management_service.get_conversation')\n    @patch('backend.services.conversation_management_service.get_source_searches_by_message')\n    @patch('backend.services.conversation_management_service.get_source_images_by_message')\n    def test_get_sources_service_by_message(self, mock_get_images, mock_get_searches, mock_get_conversation):\n        # Setup\n        mock_get_conversation.return_value = {\n            \"conversation_id\": 123, \"title\": \"Test Chat\"}\n\n        mock_searches = [\n            {\n                \"message_id\": 2,\n                \"source_title\": \"AI Definition\",\n                \"source_content\": \"AI stands for Artificial Intelligence\",\n                \"source_type\": \"web\",\n                \"source_location\": \"https://example.com/ai\",\n                \"published_date\": datetime(2023, 1, 15),\n                \"score_overall\": 0.95,\n                \"score_accuracy\": 0.9,\n                \"score_semantic\": 0.8,\n                \"cite_index\": 1,\n                \"search_type\": \"web_search\",\n                \"tool_sign\": \"web_search\"\n            }\n        ]\n        mock_get_searches.return_value = mock_searches\n\n        mock_images = [\n            {\"message_id\": 2, \"image_url\": \"https://example.com/image.jpg\"}\n        ]\n        mock_get_images.return_value = mock_images\n\n        # Execute\n        result = get_sources_service(None, 2, user_id=self.user_id)\n\n        # Assert\n        self.assertEqual(result[\"code\"], 0)\n        self.assertEqual(result[\"message\"], \"success\")\n        # Check searches\n        self.assertEqual(len(result[\"data\"][\"searches\"]), 1)\n        search = result[\"data\"][\"searches\"][0]\n        self.assertEqual(search[\"title\"], \"AI Definition\")\n        self.assertEqual(search[\"url\"], \"https://example.com/ai\")\n        self.assertEqual(search[\"published_date\"], \"2023-01-15\")\n        self.assertEqual(search[\"score\"], 0.95)\n        self.assertEqual(search[\"score_details\"][\"accuracy\"], 0.9)\n        # Check images\n        self.assertEqual(len(result[\"data\"][\"images\"]), 1)\n        self.assertEqual(result[\"data\"][\"images\"][0],\n                         \"https://example.com/image.jpg\")\n\n    @patch('backend.services.conversation_management_service.update_message_opinion')\n    def test_update_message_opinion_service(self, mock_update_opinion):\n        # Setup\n        mock_update_opinion.return_value = True\n\n        # Execute\n        update_message_opinion_service(123, \"Y\")\n\n        # Assert\n        mock_update_opinion.assert_called_once_with(123, \"Y\")\n\n    @patch('backend.services.conversation_management_service.update_message_opinion')\n    def test_update_message_opinion_service_failure(self, mock_update_opinion):\n        \"\"\"Ensure service raises exception when DB update fails (returns False).\"\"\"\n        # Setup failure\n        mock_update_opinion.return_value = False\n\n        # Execute & Assert\n        with self.assertRaises(Exception) as context:\n            update_message_opinion_service(123, \"Y\")\n        self.assertIn(\"Message does not exist\", str(context.exception))\n        mock_update_opinion.assert_called_once_with(123, \"Y\")\n\n    @patch('backend.services.conversation_management_service.get_message_id_by_index')\n    def test_get_message_id_by_index_impl_success(self, mock_get_message):\n        \"\"\"Should return message_id when found.\"\"\"\n        mock_get_message.return_value = 999\n        import asyncio\n        result = asyncio.run(get_message_id_by_index_impl(123, 2))\n        self.assertEqual(result, 999)\n        mock_get_message.assert_called_once_with(123, 2)\n\n    @patch('backend.services.conversation_management_service.get_message_id_by_index')\n    def test_get_message_id_by_index_impl_not_found(self, mock_get_message):\n        \"\"\"Should raise Exception when message_id not found.\"\"\"\n        mock_get_message.return_value = None\n        import asyncio\n        with self.assertRaises(Exception) as ctx:\n            asyncio.run(get_message_id_by_index_impl(123, 2))\n        self.assertIn(\"Message not found\", str(ctx.exception))\n        mock_get_message.assert_called_once_with(123, 2)\n\n    # Tests for generate_conversation_title_service\n    @patch('backend.services.conversation_management_service.call_llm_for_title')\n    @patch('backend.services.conversation_management_service.update_conversation_title')\n    def test_generate_conversation_title_service(self, mock_update_title, mock_call_llm):\n        \"\"\"Test generate_conversation_title_service generates title from question.\"\"\"\n        # Setup\n        mock_call_llm.return_value = \"Python Tips\"\n        mock_update_title.return_value = True\n\n        # Execute\n        import asyncio\n        result = asyncio.run(generate_conversation_title_service(\n            123, \"How to use Python effectively?\", self.user_id, self.tenant_id, \"en\"))\n\n        # Assert\n        self.assertEqual(result, \"Python Tips\")\n        mock_call_llm.assert_called_once_with(\n            \"How to use Python effectively?\", self.tenant_id, \"en\")\n        mock_update_title.assert_called_once_with(\n            123, \"Python Tips\", self.user_id)\n\n\nif __name__ == '__main__':\n    unittest.main()\n"
  },
  {
    "path": "test/backend/services/test_data_process_service.py",
    "content": "import sys\nimport unittest\nimport os\nimport io\nimport base64\nimport asyncio\nimport types\nfrom unittest.mock import patch, MagicMock, AsyncMock\nimport warnings\nfrom PIL import Image\nimport pytest\nfrom celery import states\n\n# Set required environment variables\nos.environ['REDIS_URL'] = 'redis://mock:6379/0'\nos.environ['REDIS_BACKEND_URL'] = 'redis://mock:6379/0'\n\n# Mock modules to prevent actual import chain\nsys.modules['data_process.app'] = MagicMock()\nsys.modules['data_process.app'].app = MagicMock()\nsys.modules['data_process.tasks'] = MagicMock()\nsys.modules['data_process.ray_actors'] = MagicMock()\nsys.modules['database.attachment_db'] = MagicMock()\nsys.modules['database.client'] = MagicMock()\nsys.modules['database.client'].minio_client = MagicMock()\nsys.modules['transformers'] = MagicMock()\nsys.modules['transformers'].CLIPProcessor = MagicMock()\nsys.modules['transformers'].CLIPModel = MagicMock()\nsys.modules['nexent'] = MagicMock()\nsys.modules['nexent.core'] = MagicMock()\nsys.modules['nexent.core.agents'] = MagicMock()\nsys.modules['nexent.core.agents.agent_model'] = MagicMock()\nsys.modules['nexent.core.agents.agent_model'].ToolConfig = MagicMock()\n\n# Add missing nexent.data_process module mock\nsys.modules['nexent.data_process'] = MagicMock()\nsys.modules['nexent.data_process.core'] = MagicMock()\nsys.modules['nexent.data_process.core'].DataProcessCore = MagicMock()\n\n# Mock constants from consts.const\nmock_const = MagicMock()\nmock_const.CLIP_MODEL_PATH = \"mock_clip_path\"\nmock_const.IMAGE_FILTER = True\nmock_const.REDIS_BACKEND_URL = \"redis://mock:6379/0\"\nmock_const.REDIS_URL = \"redis://mock:6379/0\"\nmock_const.MAX_CONCURRENT_CONVERSIONS = 3\nsys.modules['consts.const'] = mock_const\n\n# Stub consts.exceptions with a *real* exception class so assertRaises works correctly\n_exceptions_mod = types.ModuleType('consts.exceptions')\n\n\nclass OfficeConversionException(Exception):\n    \"\"\"Stub OfficeConversionException used in tests.\"\"\"\n\n\n_exceptions_mod.OfficeConversionException = OfficeConversionException\nsys.modules['consts.exceptions'] = _exceptions_mod\n\n# Stub utils.file_management_utils (new import in data_process_service)\nif 'utils.file_management_utils' not in sys.modules:\n    import types as _types\n    _utils_mod = _types.ModuleType('utils.file_management_utils')\n    _utils_mod.convert_office_to_pdf = AsyncMock()\n    sys.modules['utils.file_management_utils'] = _utils_mod\n\n# from backend.services.data_process_service import DataProcessService, get_data_process_service\nwith patch('data_process.utils.get_task_info') as mock_get_task_info, \\\n        patch('data_process.utils.get_all_task_ids_from_redis') as mock_get_redis_task_ids:\n    from backend.services.data_process_service import DataProcessService, get_data_process_service\n\n\nclass TestDataProcessService(unittest.TestCase):\n\n    class _NopSemaphore:\n        \"\"\"Drop-in asyncio.Semaphore that never blocks.\n\n        asyncio.Semaphore is bound to the event loop at creation time; using\n        asyncio.run() in tests creates a new loop each time, so the module-level\n        semaphore would deadlock. This stub avoids that issue completely.\n        \"\"\"\n\n        async def __aenter__(self):\n            return self\n\n        async def __aexit__(self, *args):\n            return False\n\n    def setUp(self):\n        \"\"\"Set up test environment before each test\"\"\"\n        # Create a clean instance for each test\n        self.service = DataProcessService()\n        # Store original environment to restore after tests\n        self.original_env = os.environ.copy()\n        # Suppress warnings during tests\n        warnings.filterwarnings('ignore', category=UserWarning)\n\n        # Replace module-level semaphore with a no-op to avoid asyncio loop issues\n        import backend.services.data_process_service as _dm\n        self._dm = _dm\n        self._orig_sem = _dm._conversion_semaphore\n        self._nop_sem = TestDataProcessService._NopSemaphore()\n        _dm._conversion_semaphore = self._nop_sem\n\n        # Reset mocks for each test to prevent interference\n        mock_celery_app = sys.modules['data_process.app'].app\n        mock_celery_app.reset_mock()\n        self.mock_celery_app = mock_celery_app\n\n    def tearDown(self):\n        \"\"\"Clean up after each test\"\"\"\n        # Restore the original semaphore\n        self._dm._conversion_semaphore = self._orig_sem\n        # Restore environment variables\n        os.environ.clear()\n        os.environ.update(self.original_env)\n\n    @staticmethod\n    def _make_stream(data: bytes):\n        \"\"\"Return a BytesIO stream containing *data*.\"\"\"\n        from io import BytesIO\n        return BytesIO(data)\n\n    @patch('backend.services.data_process_service.redis.ConnectionPool.from_url')\n    @patch('backend.services.data_process_service.redis.Redis')\n    def test_init_redis_client_with_url(self, mock_redis, mock_pool):\n        \"\"\"\n        Test Redis client initialization with URL.\n\n        This test verifies that when the REDIS_BACKEND_URL environment variable is set,\n        the service correctly initializes the Redis client with the proper configuration.\n        It checks that:\n        1. The connection pool is created with the correct URL and parameters\n        2. The Redis client is initialized using the connection pool\n        3. Both the Redis client and pool are stored in the service instance\n        \"\"\"\n        # Set environment variable\n        os.environ['REDIS_BACKEND_URL'] = 'redis://localhost:6379/0'\n\n        # Create a fresh instance to trigger init\n        service = DataProcessService()\n\n        # Assert that Redis was properly initialized\n        mock_pool.assert_called_once_with(\n            'redis://mock:6379/0',\n            max_connections=50,\n            decode_responses=True\n        )\n        mock_redis.assert_called_once()\n        self.assertIsNotNone(service.redis_client)\n        self.assertIsNotNone(service.redis_pool)\n\n    @patch('backend.services.data_process_service.redis.ConnectionPool.from_url')\n    def test_init_redis_client_without_url(self, mock_pool):\n        \"\"\"\n        Test Redis client initialization without URL.\n\n        This test verifies the behavior when REDIS_BACKEND_URL environment variable is not set.\n        It ensures that:\n        1. The connection pool is not created\n        2. The Redis client is not initialized\n        3. Both redis_client and redis_pool attributes are set to None\n        \"\"\"\n        # Ensure environment variable is not set\n        if 'REDIS_BACKEND_URL' in os.environ:\n            del os.environ['REDIS_BACKEND_URL']\n\n        # Temporarily set REDIS_BACKEND_URL to None in the mock\n        import backend.services.data_process_service as dps_module\n        original_redis_backend_url = dps_module.REDIS_BACKEND_URL\n        dps_module.REDIS_BACKEND_URL = None\n\n        try:\n            # Create a fresh instance to trigger init\n            service = DataProcessService()\n\n            # Assert that Redis was not initialized\n            mock_pool.assert_not_called()\n            self.assertIsNone(service.redis_client)\n            self.assertIsNone(service.redis_pool)\n        finally:\n            # Restore the original value\n            dps_module.REDIS_BACKEND_URL = original_redis_backend_url\n\n    @patch('backend.services.data_process_service.redis.ConnectionPool.from_url')\n    def test_init_redis_client_with_exception(self, mock_pool):\n        \"\"\"\n        Test Redis client initialization with exception.\n\n        This test verifies the service's error handling when Redis initialization fails.\n        It ensures that:\n        1. When an exception occurs during Redis pool creation, it's handled gracefully\n        2. Both redis_client and redis_pool attributes are set to None\n        3. The service can still be instantiated without crashing\n        \"\"\"\n        # Set environment variable\n        os.environ['REDIS_BACKEND_URL'] = 'redis://localhost:6379/0'\n\n        # Make redis pool raise an exception\n        mock_pool.side_effect = Exception(\"Test exception\")\n\n        # Create a fresh instance to trigger init\n        service = DataProcessService()\n\n        # Assert that Redis was not initialized\n        self.assertIsNone(service.redis_client)\n        self.assertIsNone(service.redis_pool)\n\n    @patch('backend.services.data_process_service.CLIPModel.from_pretrained')\n    @patch('backend.services.data_process_service.CLIPProcessor.from_pretrained')\n    def test_init_clip_model_success(self, mock_processor, mock_model):\n        \"\"\"\n        Test successful CLIP model initialization.\n\n        This test verifies that the CLIP model and processor are correctly initialized.\n        It ensures that:\n        1. The CLIPModel and CLIPProcessor are loaded from the pretrained path\n        2. The model and processor objects are stored in the service instance\n        3. The clip_available flag is set to True indicating the model is ready for use\n        \"\"\"\n        # Setup mocks\n        mock_model.return_value = MagicMock()\n        mock_processor.return_value = MagicMock()\n\n        # Initialize CLIP model\n        self.service._init_clip_model()\n\n        # Verify CLIP model was properly initialized\n        self.assertTrue(self.service.clip_available)\n        self.assertIsNotNone(self.service.model)\n        self.assertIsNotNone(self.service.processor)\n\n    @patch('backend.services.data_process_service.CLIPModel.from_pretrained')\n    def test_init_clip_model_failure(self, mock_model):\n        \"\"\"\n        Test CLIP model initialization failure.\n\n        This test verifies the service's error handling when CLIP model loading fails.\n        It ensures that:\n        1. When an exception occurs during model loading, it's handled gracefully\n        2. The clip_available flag is set to False\n        3. Both model and processor attributes are set to None\n        4. The service can still function without the CLIP model\n        \"\"\"\n        # Setup mock to raise exception\n        mock_model.side_effect = Exception(\"Failed to load model\")\n\n        # Initialize CLIP model\n        self.service._init_clip_model()\n\n        # Verify CLIP model was not initialized\n        self.assertFalse(self.service.clip_available)\n        self.assertIsNone(self.service.model)\n        self.assertIsNone(self.service.processor)\n\n    def test_check_image_size(self):\n        \"\"\"\n        Test image size checking functionality.\n\n        This test verifies the image size validation logic.\n        It ensures that:\n        1. Images with dimensions above the minimum thresholds are accepted\n        2. Images with dimensions below the minimum thresholds are rejected\n        3. Custom minimum thresholds can be applied when specified\n        \"\"\"\n        # Test with valid image size\n        self.assertTrue(self.service.check_image_size(300, 300))\n        self.assertTrue(self.service.check_image_size(200, 200))\n\n        # Test with invalid image size\n        self.assertFalse(self.service.check_image_size(100, 300))\n        self.assertFalse(self.service.check_image_size(300, 100))\n        self.assertFalse(self.service.check_image_size(100, 100))\n\n        # Test with custom minimum size\n        self.assertTrue(self.service.check_image_size(\n            150, 150, min_width=100, min_height=100))\n        self.assertFalse(self.service.check_image_size(\n            150, 150, min_width=200, min_height=200))\n\n    async def async_test_start_stop(self):\n        \"\"\"\n        Async implementation of start and stop method testing.\n\n        This test verifies that the async start and stop methods execute without errors.\n        Both methods primarily log information and don't have specific return values\n        or state changes to verify beyond successful execution.\n        \"\"\"\n        # These methods just log messages, so we just ensure they don't fail\n        await self.service.start()\n        await self.service.stop()\n\n    def test_start_stop(self):\n        \"\"\"\n        Test service start and stop methods.\n\n        This test serves as a wrapper to run the async test for start and stop methods.\n        It verifies that both service lifecycle methods execute without raising exceptions.\n        \"\"\"\n        asyncio.run(self.async_test_start_stop())\n\n    @patch('backend.services.data_process_service.celery_app')\n    def test_get_celery_inspector_success(self, mock_celery_app):\n        \"\"\"\n        Test successful retrieval of Celery inspector.\n\n        This test verifies the creation and caching of the Celery inspector.\n        It ensures that:\n        1. The inspector is correctly created from the Celery app\n        2. The inspector is stored in the service instance for future use\n        3. The timestamp of the last inspector access is updated\n        \"\"\"\n        # Setup mocks\n        mock_inspector = MagicMock()\n        mock_inspector.ping.return_value = True\n        mock_celery_app.control.inspect.return_value = mock_inspector\n\n        # Get inspector\n        inspector = self.service._get_celery_inspector()\n\n        # Verify inspector was created and cached\n        self.assertEqual(inspector, mock_inspector)\n        self.assertEqual(self.service._inspector, mock_inspector)\n        self.assertGreater(self.service._inspector_last_time, 0)\n\n    @patch('backend.services.data_process_service.celery_app')\n    def test_get_celery_inspector_failure(self, mock_celery_app):\n        \"\"\"\n        Test Celery inspector creation failure.\n\n        This test verifies the service's error handling when creating the Celery inspector fails.\n        It ensures that:\n        1. When an exception occurs during inspector creation, it's raised to the caller\n        2. The exception message includes context about the failure\n        \"\"\"\n        # Setup mocks to raise exception\n        mock_celery_app.control.inspect.side_effect = Exception(\n            \"Failed to create inspector\")\n\n        # Verify exception is raised\n        with self.assertRaises(Exception) as context:\n            self.service._get_celery_inspector()\n\n        # Verify exception message\n        self.assertIn(\"Failed to create inspector with celery_app\",\n                      str(context.exception))\n\n    @patch('backend.services.data_process_service.celery_app')\n    def test_get_celery_inspector_cache(self, mock_celery_app):\n        \"\"\"\n        Test Celery inspector caching behavior.\n\n        This test verifies the caching mechanism for the Celery inspector.\n        It ensures that:\n        1. The first call creates a new inspector\n        2. Subsequent calls within the cache timeout return the cached inspector\n        3. After the cache timeout expires, a new inspector is created\n        \"\"\"\n        # Setup mocks\n        mock_inspector1 = MagicMock()\n        mock_inspector1.ping.return_value = True\n        mock_inspector2 = MagicMock()\n        mock_inspector2.ping.return_value = True\n\n        mock_celery_app.control.inspect.side_effect = [\n            mock_inspector1, mock_inspector2]\n\n        # First call should create inspector\n        inspector1 = self.service._get_celery_inspector()\n        self.assertEqual(inspector1, mock_inspector1)\n\n        # Second call should use cached inspector\n        inspector2 = self.service._get_celery_inspector()\n        self.assertEqual(inspector2, mock_inspector1)\n\n        # Modify last access time to expire cache\n        self.service._inspector_last_time = 0\n\n        # Third call should create a new inspector\n        inspector3 = self.service._get_celery_inspector()\n        self.assertEqual(inspector3, mock_inspector2)\n\n    @patch('backend.services.data_process_service.celery_app')\n    @patch('backend.services.data_process_service.logger')\n    def test_get_celery_inspector_missing_broker_url(self, mock_logger, mock_celery_app):\n        \"\"\"\n        Test Celery inspector creation when broker_url is missing.\n\n        This test verifies that the service handles missing broker_url configuration correctly.\n        It ensures that:\n        1. When broker_url is None or empty, it's set to REDIS_URL\n        2. When result_backend is None or empty, it's set to REDIS_BACKEND_URL\n        3. A warning is logged about the reconfiguration\n        4. The inspector is created successfully after reconfiguration\n        \"\"\"\n        # Setup mocks\n        mock_inspector = MagicMock()\n        mock_inspector.ping.return_value = True\n        mock_celery_app.control.inspect.return_value = mock_inspector\n\n        # Configure celery_app.conf to have missing broker_url\n        mock_celery_app.conf.broker_url = None\n        mock_celery_app.conf.result_backend = \"redis://backend:6379/0\"\n\n        # Get inspector\n        inspector = self.service._get_celery_inspector()\n\n        # Verify broker_url was set to REDIS_URL\n        self.assertEqual(mock_celery_app.conf.broker_url,\n                         \"redis://mock:6379/0\")\n\n        # Verify warning was logged\n        mock_logger.warning.assert_called_once()\n        warning_call = mock_logger.warning.call_args[0][0]\n        self.assertIn(\n            \"Celery broker URL is not configured properly\", warning_call)\n        self.assertIn(\"redis://mock:6379/0\", warning_call)\n\n        # Verify inspector was created and cached\n        self.assertEqual(inspector, mock_inspector)\n        self.assertEqual(self.service._inspector, mock_inspector)\n        self.assertGreater(self.service._inspector_last_time, 0)\n\n    @patch('backend.services.data_process_service.celery_app')\n    @patch('backend.services.data_process_service.logger')\n    def test_get_celery_inspector_missing_both_urls(self, mock_logger, mock_celery_app):\n        \"\"\"\n        Test Celery inspector creation when both broker_url and result_backend are missing.\n\n        This test verifies that the service handles missing both configurations correctly.\n        It ensures that:\n        1. When both broker_url and result_backend are None or empty, they're set to their respective Redis URLs\n        2. A warning is logged about the reconfiguration\n        3. The inspector is created successfully after reconfiguration\n        \"\"\"\n        # Setup mocks\n        mock_inspector = MagicMock()\n        mock_inspector.ping.return_value = True\n        mock_celery_app.control.inspect.return_value = mock_inspector\n\n        # Configure celery_app.conf to have both missing\n        mock_celery_app.conf.broker_url = None\n        mock_celery_app.conf.result_backend = None\n\n        # Get inspector\n        inspector = self.service._get_celery_inspector()\n\n        # Verify both URLs were set\n        self.assertEqual(mock_celery_app.conf.broker_url,\n                         \"redis://mock:6379/0\")\n        self.assertEqual(mock_celery_app.conf.result_backend,\n                         \"redis://mock:6379/0\")\n\n        # Verify warning was logged\n        mock_logger.warning.assert_called_once()\n        warning_call = mock_logger.warning.call_args[0][0]\n        self.assertIn(\n            \"Celery broker URL is not configured properly\", warning_call)\n        self.assertIn(\"redis://mock:6379/0\", warning_call)\n\n        # Verify inspector was created and cached\n        self.assertEqual(inspector, mock_inspector)\n        self.assertEqual(self.service._inspector, mock_inspector)\n        self.assertGreater(self.service._inspector_last_time, 0)\n\n    @patch('backend.services.data_process_service.celery_app')\n    @patch('backend.services.data_process_service.logger')\n    def test_get_celery_inspector_empty_string_urls(self, mock_logger, mock_celery_app):\n        \"\"\"\n        Test Celery inspector creation when broker_url and result_backend are empty strings.\n\n        This test verifies that the service handles empty string configurations correctly.\n        It ensures that:\n        1. When broker_url and result_backend are empty strings, they're treated as missing\n        2. They're set to their respective Redis URLs\n        3. A warning is logged about the reconfiguration\n        4. The inspector is created successfully after reconfiguration\n        \"\"\"\n        # Setup mocks\n        mock_inspector = MagicMock()\n        mock_inspector.ping.return_value = True\n        mock_celery_app.control.inspect.return_value = mock_inspector\n\n        # Configure celery_app.conf to have empty strings\n        mock_celery_app.conf.broker_url = \"\"\n        mock_celery_app.conf.result_backend = \"\"\n\n        # Get inspector\n        inspector = self.service._get_celery_inspector()\n\n        # Verify both URLs were set\n        self.assertEqual(mock_celery_app.conf.broker_url,\n                         \"redis://mock:6379/0\")\n        self.assertEqual(mock_celery_app.conf.result_backend,\n                         \"redis://mock:6379/0\")\n\n        # Verify warning was logged\n        mock_logger.warning.assert_called_once()\n        warning_call = mock_logger.warning.call_args[0][0]\n        self.assertIn(\n            \"Celery broker URL is not configured properly\", warning_call)\n        self.assertIn(\"redis://mock:6379/0\", warning_call)\n\n        # Verify inspector was created and cached\n        self.assertEqual(inspector, mock_inspector)\n        self.assertEqual(self.service._inspector, mock_inspector)\n        self.assertGreater(self.service._inspector_last_time, 0)\n\n    @patch('backend.services.data_process_service.celery_app')\n    @patch('backend.services.data_process_service.logger')\n    def test_get_celery_inspector_no_reconfiguration_needed(self, mock_logger, mock_celery_app):\n        \"\"\"\n        Test Celery inspector creation when both URLs are already configured.\n\n        This test verifies that the service doesn't reconfigure when URLs are already set.\n        It ensures that:\n        1. When both broker_url and result_backend are already configured, no reconfiguration occurs\n        2. No warning is logged\n        3. The inspector is created successfully without modification\n        \"\"\"\n        # Setup mocks\n        mock_inspector = MagicMock()\n        mock_inspector.ping.return_value = True\n        mock_celery_app.control.inspect.return_value = mock_inspector\n\n        # Configure celery_app.conf to have both URLs already set\n        mock_celery_app.conf.broker_url = \"redis://existing-broker:6379/0\"\n        mock_celery_app.conf.result_backend = \"redis://existing-backend:6379/0\"\n\n        # Get inspector\n        inspector = self.service._get_celery_inspector()\n\n        # Verify URLs were not changed\n        self.assertEqual(mock_celery_app.conf.broker_url,\n                         \"redis://existing-broker:6379/0\")\n        self.assertEqual(mock_celery_app.conf.result_backend,\n                         \"redis://existing-backend:6379/0\")\n\n        # Verify no warning was logged\n        mock_logger.warning.assert_not_called()\n\n        # Verify inspector was created and cached\n        self.assertEqual(inspector, mock_inspector)\n        self.assertEqual(self.service._inspector, mock_inspector)\n        self.assertGreater(self.service._inspector_last_time, 0)\n\n    @patch('data_process.utils.get_task_info')\n    @pytest.mark.asyncio\n    async def async_test_get_task(self, mock_get_task_info):\n        \"\"\"\n        Async implementation of get_task testing.\n\n        This test verifies that the service correctly retrieves task information by ID.\n        It ensures that:\n        1. The utility function is called with the correct task ID\n        2. The task data is returned as-is from the utility function\n        \"\"\"\n        # Setup mock\n        task_data = {\"id\": \"task1\"}\n        mock_get_task_info.return_value = task_data\n\n        # Get task\n        result = await self.service.get_task(\"task1\")\n\n        # Verify result\n        mock_get_task_info.assert_not_called()\n\n    def test_get_task(self):\n        \"\"\"\n        Test retrieval of task by ID.\n\n        This test serves as a wrapper to run the async test for get_task.\n        It verifies that the service can retrieve information about a specific task.\n        \"\"\"\n        asyncio.run(self.async_test_get_task())\n\n    @patch('backend.services.data_process_service.DataProcessService._get_celery_inspector')\n    @patch('data_process.utils.get_task_info')\n    @patch('data_process.utils.get_all_task_ids_from_redis')\n    @pytest.mark.asyncio\n    async def async_test_get_all_tasks(self, mock_get_redis_task_ids, mock_get_task_info, mock_get_inspector):\n        \"\"\"\n        Async implementation of get_all_tasks testing.\n\n        This test verifies that the service correctly retrieves all tasks.\n        It ensures that:\n        1. Active and reserved tasks are retrieved from Celery\n        2. Completed tasks are retrieved from Redis\n        3. Task information is fetched for each task ID\n        4. Tasks can be filtered based on their properties\n        5. The combined task list is returned with all task details\n        \"\"\"\n        # Setup mocks\n        mock_inspector = MagicMock()\n        mock_inspector.active.return_value = {\n            'worker1': [{'id': 'task1'}, {'id': 'task2'}]\n        }\n        mock_inspector.reserved.return_value = {\n            'worker1': [{'id': 'task3'}]\n        }\n        mock_get_inspector.return_value = mock_inspector\n\n        mock_get_redis_task_ids.return_value = ['task2', 'task4', 'task5']\n\n        # Setup task info mock to return different task data\n        async def mock_task_info(task_id):\n            task_data = {\n                'task1': {'id': 'task1', 'status': 'ACTIVE', 'index_name': 'index1', 'task_name': 'task_name1'},\n                'task2': {'id': 'task2', 'status': 'ACTIVE', 'index_name': 'index2', 'task_name': 'task_name2'},\n                'task3': {'id': 'task3', 'status': 'RESERVED', 'index_name': 'index3', 'task_name': 'task_name3'},\n                'task4': {'id': 'task4', 'status': 'SUCCESS', 'index_name': 'index4', 'task_name': 'task_name4'},\n                'task5': {'id': 'task5', 'status': 'FAILURE', 'index_name': None, 'task_name': None},\n            }\n            return task_data.get(task_id, {})\n\n        mock_get_task_info.side_effect = mock_task_info\n\n        # Get all tasks with filtering\n        result = await self.service.get_all_tasks(filter=True)\n\n        # Verify result (should not include task5)\n        self.assertEqual(len(result), 3)\n\n        # Get all tasks without filtering\n        result = await self.service.get_all_tasks(filter=False)\n\n        # Verify result (should include all tasks)\n        self.assertEqual(len(result), 3)\n\n    def test_get_all_tasks(self):\n        \"\"\"\n        Test retrieval of all tasks.\n\n        This test serves as a wrapper to run the async test for get_all_tasks.\n        It verifies that the service can retrieve a comprehensive list of all tasks\n        from both Celery (active and reserved) and Redis (completed).\n        \"\"\"\n        asyncio.run(self.async_test_get_all_tasks())\n\n    @patch('backend.services.data_process_service.DataProcessService._get_celery_inspector')\n    @patch('data_process.utils.get_task_info')\n    @patch('data_process.utils.get_all_task_ids_from_redis')\n    @pytest.mark.asyncio\n    async def test_get_all_tasks_redis_error(self, mock_get_redis_task_ids, mock_get_task_info, mock_get_inspector):\n        \"\"\"\n        Test get_all_tasks when Redis query fails.\n\n        This test verifies that the service handles Redis errors gracefully\n        and continues to process tasks from other sources.\n        \"\"\"\n        # Setup mocks\n        mock_inspector = MagicMock()\n        mock_inspector.active.return_value = {\n            'worker1': [{'id': 'task1'}, {'id': 'task2'}]\n        }\n        mock_inspector.reserved.return_value = {\n            'worker1': [{'id': 'task3'}]\n        }\n        mock_get_inspector.return_value = mock_inspector\n\n        # Mock Redis to raise an exception\n        mock_get_redis_task_ids.side_effect = Exception(\n            \"Redis connection failed\")\n\n        # Setup task info mock\n        async def mock_task_info(task_id):\n            task_data = {\n                'task1': {'id': 'task1', 'status': 'ACTIVE', 'index_name': 'index1', 'task_name': 'task_name1'},\n                'task2': {'id': 'task2', 'status': 'ACTIVE', 'index_name': 'index2', 'task_name': 'task_name2'},\n                'task3': {'id': 'task3', 'status': 'RESERVED', 'index_name': 'index3', 'task_name': 'task_name3'},\n            }\n            return task_data.get(task_id, {})\n\n        mock_get_task_info.side_effect = mock_task_info\n\n        # Get all tasks - should handle Redis error gracefully\n        result = await self.service.get_all_tasks(filter=True)\n\n        # Verify result (should only include tasks from Celery, not Redis)\n        self.assertEqual(len(result), 3)\n\n        # Verify that Redis was called and failed\n        mock_get_redis_task_ids.assert_called_once()\n\n    @patch('backend.services.data_process_service.DataProcessService.get_all_tasks')\n    @pytest.mark.asyncio\n    async def async_test_get_index_tasks(self, mock_get_all_tasks):\n        \"\"\"\n        Async implementation of get_index_tasks testing.\n\n        This test verifies that the service correctly retrieves tasks for a specific index.\n        It ensures that:\n        1. All tasks are retrieved first\n        2. Tasks are filtered based on the index_name property\n        3. Only tasks matching the specified index are returned\n        \"\"\"\n        # Setup mock\n        mock_get_all_tasks.return_value = [\n            {'id': 'task1', 'index_name': 'index1', 'task_name': 'task_name1'},\n            {'id': 'task2', 'index_name': 'index2', 'task_name': 'task_name2'},\n            {'id': 'task3', 'index_name': 'index1', 'task_name': 'task_name3'},\n        ]\n\n        # Get tasks for index1\n        result = await self.service.get_index_tasks('index1')\n\n        # Verify result\n        self.assertEqual(len(result), 2)\n        self.assertEqual(result[0]['id'], 'task1')\n        self.assertEqual(result[1]['id'], 'task3')\n\n        # Get tasks for index2\n        result = await self.service.get_index_tasks('index2')\n\n        # Verify result\n        self.assertEqual(len(result), 1)\n        self.assertEqual(result[0]['id'], 'task2')\n\n        # Get tasks for non-existent index\n        result = await self.service.get_index_tasks('index3')\n\n        # Verify result\n        self.assertEqual(len(result), 0)\n\n    def test_get_index_tasks(self):\n        \"\"\"\n        Test retrieval of tasks for a specific index.\n\n        This test serves as a wrapper to run the async test for get_index_tasks.\n        It verifies that the service can filter tasks based on their associated index.\n        \"\"\"\n        asyncio.run(self.async_test_get_index_tasks())\n\n    @patch('aiohttp.ClientSession')\n    @pytest.mark.asyncio\n    async def async_test_load_image_from_url(self, mock_session):\n        \"\"\"\n        Async implementation for testing image loading from URL.\n\n        This test verifies that the service can load images from URLs.\n        It ensures that:\n        1. The HTTP request is made to the correct URL\n        2. The response is properly processed to create a PIL Image\n        3. The returned image has the expected properties\n        \"\"\"\n        # Create a test image\n        img = Image.new('RGB', (300, 300), color='red')\n        img_byte_arr = io.BytesIO()\n        img.save(img_byte_arr, format='PNG')\n        img_byte_arr = img_byte_arr.getvalue()\n\n        # Setup mock response\n        mock_response = AsyncMock()\n        mock_response.status = 200\n        mock_response.read.return_value = img_byte_arr\n\n        # Setup mock session\n        mock_session_instance = MagicMock()\n        mock_session_instance.__aenter__.return_value = mock_session_instance\n        mock_session_instance.get.return_value.__aenter__.return_value = mock_response\n        mock_session.return_value = mock_session_instance\n\n        # Load image from URL\n        result = await self.service.load_image(\"http://example.com/image.png\")\n\n        # Verify result\n        self.assertIsNotNone(result)\n        self.assertEqual(result.width, 300)\n        self.assertEqual(result.height, 300)\n        self.assertEqual(result.mode, 'RGB')\n\n    @patch('aiohttp.ClientSession')\n    @pytest.mark.asyncio\n    async def async_test_load_image_from_url_failure(self, mock_session):\n        \"\"\"\n        Async implementation for testing image loading failure from URL.\n\n        This test verifies the service's error handling when image loading fails.\n        It ensures that:\n        1. When the HTTP request returns a non-200 status code, the error is handled\n        2. The method returns None to indicate failure\n        \"\"\"\n        # Setup mock response with error status\n        mock_response = AsyncMock()\n        mock_response.status = 404\n\n        # Setup mock session\n        mock_session_instance = MagicMock()\n        mock_session_instance.__aenter__.return_value = mock_session_instance\n        mock_session_instance.get.return_value.__aenter__.return_value = mock_response\n        mock_session.return_value = mock_session_instance\n\n        # Load image from URL\n        result = await self.service.load_image(\"http://example.com/not-found.png\")\n\n        # Verify result\n        self.assertIsNone(result)\n\n    @patch('aiohttp.ClientSession')\n    @pytest.mark.asyncio\n    async def async_test_load_image_from_base64(self, mock_session):\n        \"\"\"\n        Async implementation for testing image loading from base64 data.\n\n        This test verifies that the service can load images from base64-encoded data.\n        It ensures that:\n        1. Base64 data URIs are properly detected and processed\n        2. The image is correctly decoded from base64\n        3. The returned image has the expected properties\n        4. HTTP session is not used for base64 images\n        \"\"\"\n        # Create a test image and convert to base64\n        img = Image.new('RGB', (300, 300), color='blue')\n        img_byte_arr = io.BytesIO()\n        img.save(img_byte_arr, format='PNG')\n        img_base64 = base64.b64encode(img_byte_arr.getvalue()).decode('utf-8')\n        img_data_uri = f\"data:image/png;base64,{img_base64}\"\n\n        # Load image from base64\n        result = await self.service.load_image(img_data_uri)\n\n        # Verify result\n        self.assertIsNotNone(result)\n        self.assertEqual(result.width, 300)\n        self.assertEqual(result.height, 300)\n        self.assertEqual(result.mode, 'RGB')\n\n        # Session should not be used for base64 images\n        mock_session.assert_called_once()\n        mock_session_instance = mock_session.return_value.__aenter__.return_value\n        mock_session_instance.get.assert_not_called()\n\n    @patch('os.path.isfile')\n    @patch('PIL.Image.open')\n    @pytest.mark.asyncio\n    async def async_test_load_image_from_file(self, mock_image_open, mock_isfile):\n        \"\"\"\n        Async implementation for testing image loading from file.\n\n        This test verifies that the service can load images from the filesystem.\n        It ensures that:\n        1. The file existence is checked\n        2. PIL.Image.open is called with the correct path\n        3. The returned image preserves the properties of the loaded image\n        \"\"\"\n        # Setup mocks\n        mock_isfile.return_value = True\n        mock_img = MagicMock()\n        mock_img.mode = 'RGB'\n        mock_img.size = (300, 300)\n        mock_image_open.return_value = mock_img\n\n        # Load image from file\n        result = await self.service.load_image(\"/path/to/image.png\")\n\n        # Verify result\n        self.assertIsNotNone(result)\n        mock_image_open.assert_called_once_with(\"/path/to/image.png\")\n\n    @patch('aiohttp.ClientSession')\n    @pytest.mark.asyncio\n    async def async_test_load_image_rgba_to_rgb_conversion(self, mock_session):\n        \"\"\"\n        Async implementation for testing RGBA to RGB conversion.\n\n        This test verifies that the service correctly converts RGBA images to RGB.\n        It ensures that:\n        1. RGBA images are converted to RGB with white background\n        2. The alpha channel is properly handled using mask\n        3. The returned image has RGB mode\n        \"\"\"\n        # Create a test RGBA image\n        img = Image.new('RGBA', (300, 300), color=(\n            255, 0, 0, 128))  # Semi-transparent red\n        img_byte_arr = io.BytesIO()\n        img.save(img_byte_arr, format='PNG')\n        img_byte_arr = img_byte_arr.getvalue()\n\n        # Setup mock response\n        mock_response = AsyncMock()\n        mock_response.status = 200\n        mock_response.read.return_value = img_byte_arr\n\n        # Setup mock session\n        mock_session_instance = MagicMock()\n        mock_session_instance.__aenter__.return_value = mock_session_instance\n        mock_session_instance.get.return_value.__aenter__.return_value = mock_response\n        mock_session.return_value = mock_session_instance\n\n        # Load image from URL\n        result = await self.service.load_image(\"http://example.com/rgba_image.png\")\n\n        # Verify result\n        self.assertIsNotNone(result)\n        self.assertEqual(result.width, 300)\n        self.assertEqual(result.height, 300)\n        self.assertEqual(result.mode, 'RGB')  # Should be converted to RGB\n\n    @patch('aiohttp.ClientSession')\n    @pytest.mark.asyncio\n    async def async_test_load_image_non_rgb_to_rgb_conversion(self, mock_session):\n        \"\"\"\n        Async implementation for testing non-RGB to RGB conversion.\n\n        This test verifies that the service correctly converts non-RGB images to RGB.\n        It ensures that:\n        1. Non-RGB images (like L, P, etc.) are converted to RGB\n        2. The conversion preserves image dimensions\n        3. The returned image has RGB mode\n        \"\"\"\n        # Create a test grayscale image\n        img = Image.new('L', (300, 300), color=128)  # Grayscale\n        img_byte_arr = io.BytesIO()\n        img.save(img_byte_arr, format='PNG')\n        img_byte_arr = img_byte_arr.getvalue()\n\n        # Setup mock response\n        mock_response = AsyncMock()\n        mock_response.status = 200\n        mock_response.read.return_value = img_byte_arr\n\n        # Setup mock session\n        mock_session_instance = MagicMock()\n        mock_session_instance.__aenter__.return_value = mock_session_instance\n        mock_session_instance.get.return_value.__aenter__.return_value = mock_response\n        mock_session.return_value = mock_session_instance\n\n        # Load image from URL\n        result = await self.service.load_image(\"http://example.com/grayscale_image.png\")\n\n        # Verify result\n        self.assertIsNotNone(result)\n        self.assertEqual(result.width, 300)\n        self.assertEqual(result.height, 300)\n        self.assertEqual(result.mode, 'RGB')  # Should be converted to RGB\n\n    @patch('aiohttp.ClientSession')\n    @pytest.mark.asyncio\n    async def async_test_load_image_rgb_no_conversion(self, mock_session):\n        \"\"\"\n        Async implementation for testing RGB images that don't need conversion.\n\n        This test verifies that RGB images are not unnecessarily converted.\n        It ensures that:\n        1. RGB images remain in RGB mode\n        2. No conversion operations are performed\n        3. The image properties are preserved\n        \"\"\"\n        # Create a test RGB image\n        img = Image.new('RGB', (300, 300), color='blue')\n        img_byte_arr = io.BytesIO()\n        img.save(img_byte_arr, format='PNG')\n        img_byte_arr = img_byte_arr.getvalue()\n\n        # Setup mock response\n        mock_response = AsyncMock()\n        mock_response.status = 200\n        mock_response.read.return_value = img_byte_arr\n\n        # Setup mock session\n        mock_session_instance = MagicMock()\n        mock_session_instance.__aenter__.return_value = mock_session_instance\n        mock_session_instance.get.return_value.__aenter__.return_value = mock_response\n        mock_session.return_value = mock_session_instance\n\n        # Load image from URL\n        result = await self.service.load_image(\"http://example.com/rgb_image.png\")\n\n        # Verify result\n        self.assertIsNotNone(result)\n        self.assertEqual(result.width, 300)\n        self.assertEqual(result.height, 300)\n        self.assertEqual(result.mode, 'RGB')  # Should remain RGB\n\n    @patch('aiohttp.ClientSession')\n    @pytest.mark.asyncio\n    async def async_test_load_image_rgba_base64_conversion(self, mock_session):\n        \"\"\"\n        Async implementation for testing RGBA to RGB conversion in base64 images.\n\n        This test verifies that RGBA base64 images are correctly converted to RGB.\n        It ensures that:\n        1. RGBA base64 images are converted to RGB with white background\n        2. The alpha channel is properly handled\n        3. The returned image has RGB mode\n        \"\"\"\n        # Create a test RGBA image and convert to base64\n        img = Image.new('RGBA', (300, 300), color=(\n            0, 255, 0, 200))  # Semi-transparent green\n        img_byte_arr = io.BytesIO()\n        img.save(img_byte_arr, format='PNG')\n        img_base64 = base64.b64encode(img_byte_arr.getvalue()).decode('utf-8')\n        img_data_uri = f\"data:image/png;base64,{img_base64}\"\n\n        # Load image from base64\n        result = await self.service.load_image(img_data_uri)\n\n        # Verify result\n        self.assertIsNotNone(result)\n        self.assertEqual(result.width, 300)\n        self.assertEqual(result.height, 300)\n        self.assertEqual(result.mode, 'RGB')  # Should be converted to RGB\n\n        # Session should not be used for base64 images\n        mock_session.assert_called_once()\n        mock_session_instance = mock_session.return_value.__aenter__.return_value\n        mock_session_instance.get.assert_not_called()\n\n    @patch('aiohttp.ClientSession')\n    @pytest.mark.asyncio\n    async def async_test_load_image_non_rgb_base64_conversion(self, mock_session):\n        \"\"\"\n        Async implementation for testing non-RGB to RGB conversion in base64 images.\n\n        This test verifies that non-RGB base64 images are correctly converted to RGB.\n        It ensures that:\n        1. Non-RGB base64 images are converted to RGB\n        2. The conversion preserves image dimensions\n        3. The returned image has RGB mode\n        \"\"\"\n        # Create a test grayscale image and convert to base64\n        img = Image.new('L', (300, 300), color=64)  # Grayscale\n        img_byte_arr = io.BytesIO()\n        img.save(img_byte_arr, format='PNG')\n        img_base64 = base64.b64encode(img_byte_arr.getvalue()).decode('utf-8')\n        img_data_uri = f\"data:image/png;base64,{img_base64}\"\n\n        # Load image from base64\n        result = await self.service.load_image(img_data_uri)\n\n        # Verify result\n        self.assertIsNotNone(result)\n        self.assertEqual(result.width, 300)\n        self.assertEqual(result.height, 300)\n        self.assertEqual(result.mode, 'RGB')  # Should be converted to RGB\n\n        # Session should not be used for base64 images\n        mock_session.assert_called_once()\n        mock_session_instance = mock_session.return_value.__aenter__.return_value\n        mock_session_instance.get.assert_not_called()\n\n    @patch('os.path.isfile')\n    @patch('PIL.Image.open')\n    @pytest.mark.asyncio\n    async def async_test_load_image_non_rgb_file_conversion(self, mock_image_open, mock_isfile):\n        \"\"\"\n        Async implementation for testing non-RGB to RGB conversion in local files.\n\n        This test verifies that non-RGB local files are correctly converted to RGB.\n        It ensures that:\n        1. Non-RGB local files are converted to RGB\n        2. The conversion preserves image dimensions\n        3. The returned image has RGB mode\n        \"\"\"\n        # Setup mocks\n        mock_isfile.return_value = True\n        mock_img = MagicMock()\n        mock_img.mode = 'L'  # Grayscale\n        mock_img.size = (300, 300)\n        mock_img.convert.return_value = MagicMock()  # Mock the converted image\n        mock_image_open.return_value = mock_img\n\n        # Load image from file\n        result = await self.service.load_image(\"/path/to/grayscale_image.png\")\n\n        # Verify result\n        self.assertIsNotNone(result)\n        mock_image_open.assert_called_once_with(\"/path/to/grayscale_image.png\")\n        mock_img.convert.assert_called_once_with('RGB')\n\n    @patch('os.path.isfile')\n    @patch('PIL.Image.open')\n    @pytest.mark.asyncio\n    async def async_test_load_image_rgb_file_no_conversion(self, mock_image_open, mock_isfile):\n        \"\"\"\n        Async implementation for testing RGB local files that don't need conversion.\n\n        This test verifies that RGB local files are not unnecessarily converted.\n        It ensures that:\n        1. RGB local files remain in RGB mode\n        2. No conversion operations are performed\n        3. The image properties are preserved\n        \"\"\"\n        # Setup mocks\n        mock_isfile.return_value = True\n        mock_img = MagicMock()\n        mock_img.mode = 'RGB'\n        mock_img.size = (300, 300)\n        mock_image_open.return_value = mock_img\n\n        # Load image from file\n        result = await self.service.load_image(\"/path/to/rgb_image.png\")\n\n        # Verify result\n        self.assertIsNotNone(result)\n        mock_image_open.assert_called_once_with(\"/path/to/rgb_image.png\")\n        # No conversion should be called for RGB images\n\n    @patch('aiohttp.ClientSession')\n    @pytest.mark.asyncio\n    async def async_test_load_image_svg_filtered(self, mock_session):\n        \"\"\"\n        Async implementation for testing SVG file filtering.\n\n        This test verifies that SVG files are filtered out and not processed.\n        It ensures that:\n        1. SVG files are detected by their extension\n        2. The method returns None for SVG files\n        3. No HTTP request is made for SVG files\n        \"\"\"\n        # Load SVG image (should be filtered out)\n        result = await self.service.load_image(\"http://example.com/image.svg\")\n\n        # Verify result - should be None for SVG files\n        self.assertIsNone(result)\n\n        # Session should not be used for SVG files\n        mock_session.assert_called_once()\n        mock_session_instance = mock_session.return_value.__aenter__.return_value\n        mock_session_instance.get.assert_not_called()\n\n    @patch('aiohttp.ClientSession')\n    @patch('tempfile.NamedTemporaryFile')\n    @patch('PIL.Image.open')\n    @patch('PIL.Image.new')\n    @patch('os.unlink')\n    @patch('os.path.splitext')\n    @patch('backend.services.data_process_service.logger')\n    @pytest.mark.asyncio\n    async def async_test_load_image_temp_file_fallback(self, mock_logger, mock_splitext, mock_unlink, mock_image_new, mock_image_open, mock_tempfile, mock_session):\n        \"\"\"\n        Async implementation for testing temporary file fallback when direct loading fails.\n\n        This test verifies that when direct image loading fails, the service falls back\n        to using a temporary file for loading.\n        It ensures that:\n        1. Direct loading fails and triggers the fallback mechanism\n        2. A temporary file is created with the correct suffix\n        3. Image data is written to the temporary file\n        4. The image is loaded from the temporary file\n        5. The temporary file is properly cleaned up\n        6. Image mode conversion is applied if needed\n        \"\"\"\n        # Create a test image\n        img = Image.new('RGB', (300, 300), color='green')\n        img_byte_arr = io.BytesIO()\n        img.save(img_byte_arr, format='PNG')\n        img_byte_arr = img_byte_arr.getvalue()\n\n        # Setup mock response\n        mock_response = AsyncMock()\n        mock_response.status = 200\n        mock_response.read.return_value = img_byte_arr\n\n        # Setup mock session\n        mock_session_instance = MagicMock()\n        mock_session_instance.__aenter__.return_value = mock_session_instance\n        mock_session_instance.get.return_value.__aenter__.return_value = mock_response\n        mock_session.return_value = mock_session_instance\n\n        # Setup mocks for the fallback mechanism\n        mock_splitext.return_value = ('image', '.png')\n\n        # Mock the temporary file\n        mock_temp_file = MagicMock()\n        mock_temp_file.name = '/tmp/temp_image.png'\n        mock_tempfile.return_value.__enter__.return_value = mock_temp_file\n\n        # Mock Image.open to fail on direct loading but succeed on temp file\n        def mock_image_open_side_effect(path_or_file):\n            if isinstance(path_or_file, io.BytesIO):\n                # Direct loading fails\n                raise Exception(\"Direct loading failed\")\n            else:\n                # Loading from temp file succeeds\n                mock_img = MagicMock()\n                mock_img.mode = 'RGB'\n                mock_img.size = (300, 300)\n                return mock_img\n\n        mock_image_open.side_effect = mock_image_open_side_effect\n\n        # Load image from URL\n        result = await self.service.load_image(\"http://example.com/image.png\")\n\n        # Verify result\n        self.assertIsNotNone(result)\n        self.assertEqual(result.mode, 'RGB')\n        self.assertEqual(result.size, (300, 300))\n\n        # Verify the fallback mechanism was used\n        mock_splitext.assert_called_once_with(\"http://example.com/image.png\")\n        mock_tempfile.assert_called_once_with(suffix='.png', delete=False)\n\n        # Verify image data was written to temp file\n        mock_temp_file.write.assert_called_once_with(img_byte_arr)\n        mock_temp_file.flush.assert_called_once()\n\n        # Verify image was loaded from temp file\n        mock_image_open.assert_any_call('/tmp/temp_image.png')\n\n        # Verify temp file was cleaned up\n        mock_unlink.assert_called_once_with('/tmp/temp_image.png')\n\n    @patch('os.path.isfile')\n    @patch('PIL.Image.open')\n    @patch('backend.services.data_process_service.logger')\n    @pytest.mark.asyncio\n    async def async_test_load_image_local_file_exception(self, mock_logger, mock_image_open, mock_isfile):\n        \"\"\"\n        Async implementation for testing local file loading exception.\n\n        This test verifies that when loading a local file fails, the service properly\n        logs the error and returns None.\n        It ensures that:\n        1. The file existence is checked and returns True\n        2. PIL.Image.open fails with an exception\n        3. The error is logged with appropriate context\n        4. The method returns None instead of raising an exception\n        \"\"\"\n        # Setup mocks\n        mock_isfile.return_value = True\n        mock_image_open.side_effect = Exception(\"Corrupted image file\")\n\n        # Load image from file\n        result = await self.service.load_image(\"/path/to/corrupted_image.png\")\n\n        # Verify result\n        self.assertIsNone(result)\n\n        # Verify error was logged\n        mock_logger.info.assert_called_once()\n        error_call = mock_logger.info.call_args[0][0]\n        self.assertIn(\n            \"Failed to load local image: Corrupted image file\", error_call)\n\n        # Verify file existence was checked\n        mock_isfile.assert_called_once_with(\"/path/to/corrupted_image.png\")\n\n        # Verify Image.open was attempted\n        mock_image_open.assert_called_once_with(\"/path/to/corrupted_image.png\")\n\n    def test_load_image(self):\n        \"\"\"\n        Test image loading from various sources.\n\n        This test serves as a wrapper to run the async tests for load_image.\n        It verifies that the service can load images from:\n        1. URLs (with both success and failure cases)\n        2. Base64-encoded data\n        3. Local files\n        4. Image mode conversions (RGBA to RGB, non-RGB to RGB)\n        5. SVG file filtering\n        6. Temporary file fallback mechanism\n        7. Local file loading exceptions\n        8. General exception handling\n        \"\"\"\n        asyncio.run(self.async_test_load_image_from_url())\n        asyncio.run(self.async_test_load_image_from_url_failure())\n        asyncio.run(self.async_test_load_image_from_base64())\n        asyncio.run(self.async_test_load_image_from_file())\n        asyncio.run(self.async_test_load_image_rgba_to_rgb_conversion())\n        asyncio.run(self.async_test_load_image_non_rgb_to_rgb_conversion())\n        asyncio.run(self.async_test_load_image_rgb_no_conversion())\n        asyncio.run(self.async_test_load_image_rgba_base64_conversion())\n        asyncio.run(self.async_test_load_image_non_rgb_base64_conversion())\n        asyncio.run(self.async_test_load_image_non_rgb_file_conversion())\n        asyncio.run(self.async_test_load_image_rgb_file_no_conversion())\n        asyncio.run(self.async_test_load_image_svg_filtered())\n        asyncio.run(self.async_test_load_image_temp_file_fallback())\n        asyncio.run(self.async_test_load_image_local_file_exception())\n\n    @patch('backend.services.data_process_service.DataProcessService.load_image')\n    @patch('backend.services.data_process_service.DataProcessService.check_image_size')\n    @patch('backend.services.data_process_service.DataProcessService._init_clip_model')\n    @pytest.mark.asyncio\n    async def async_test_filter_important_image_size_filter(self, mock_init_clip, mock_check_size, mock_load_image):\n        \"\"\"\n        Async implementation for testing image filtering by size.\n\n        This test verifies the initial size filtering stage of the image importance filter.\n        It ensures that:\n        1. Images that don't meet size requirements are immediately rejected\n        2. The CLIP model is not initialized for such images (optimization)\n        3. The result indicates the image is not important with zero confidence\n        \"\"\"\n        # Setup mocks\n        mock_img = MagicMock()\n        mock_img.width = 100  # Small image\n        mock_img.height = 100\n        mock_load_image.return_value = mock_img\n        mock_check_size.return_value = False  # Image doesn't meet size requirements\n\n        # Filter image\n        result = await self.service.filter_important_image(\"http://example.com/small_image.png\")\n\n        # Verify result\n        self.assertFalse(result[\"is_important\"])\n        self.assertEqual(result[\"confidence\"], 0.0)\n        mock_load_image.assert_called_once_with(\n            \"http://example.com/small_image.png\")\n        mock_check_size.assert_called_once_with(100, 100)\n        mock_init_clip.assert_not_called()  # CLIP should not be initialized\n\n    @patch('backend.services.data_process_service.IMAGE_FILTER', False)\n    @patch('backend.services.data_process_service.DataProcessService.load_image')\n    @patch('backend.services.data_process_service.DataProcessService.check_image_size')\n    @pytest.mark.asyncio\n    async def async_test_filter_important_image_filter_disabled(self, mock_check_size, mock_load_image):\n        \"\"\"\n        Async implementation for testing behavior when image filtering is disabled.\n\n        This test verifies that when IMAGE_FILTER is disabled:\n        1. All images are considered important regardless of content\n        2. The result indicates the image is important with maximum confidence\n        3. The CLIP model is not used (optimization)\n        \"\"\"\n        # Setup mocks\n        mock_img = MagicMock()\n        mock_img.width = 300\n        mock_img.height = 300\n        mock_load_image.return_value = mock_img\n        mock_check_size.return_value = True  # Image meets size requirements\n\n        # Filter image\n        result = await self.service.filter_important_image(\"http://example.com/image.png\")\n\n        # Verify result\n        self.assertTrue(result[\"is_important\"])\n        self.assertEqual(result[\"confidence\"], 1.0)\n\n    @patch('backend.services.data_process_service.IMAGE_FILTER', True)\n    @patch('backend.services.data_process_service.DataProcessService.load_image')\n    @patch('backend.services.data_process_service.DataProcessService.check_image_size')\n    @patch('torch.no_grad')\n    @pytest.mark.asyncio\n    async def async_test_filter_important_image_with_clip(self, mock_no_grad, mock_check_size, mock_load_image):\n        \"\"\"\n        Async implementation for testing image filtering with CLIP model.\n\n        This test verifies the complete image filtering process with CLIP:\n        1. The image is loaded and passes size requirements\n        2. The CLIP model processes the image with positive and negative prompts\n        3. The model's output probabilities determine the image importance\n        4. The result includes the correct confidence scores and classification\n        \"\"\"\n        # Setup image mock\n        mock_img = MagicMock()\n        mock_img.width = 300\n        mock_img.height = 300\n        mock_img.mode = 'RGB'\n        mock_load_image.return_value = mock_img\n        mock_check_size.return_value = True  # Image meets size requirements\n\n        # Setup CLIP model mocks\n        self.service.clip_available = True\n        self.service.model = MagicMock()\n        self.service.processor = MagicMock()\n\n        # Setup model outputs\n        mock_outputs = MagicMock()\n        mock_logits = MagicMock()\n        mock_probs = MagicMock()\n        mock_probs[0].tolist.return_value = [0.3, 0.7]  # [negative, positive]\n        mock_logits.softmax.return_value = mock_probs\n        mock_outputs.logits_per_image = mock_logits\n        self.service.model.return_value = mock_outputs\n\n        # Setup processor\n        self.service.processor.return_value = {\"inputs\": \"processed\"}\n\n        # Filter image\n        result = await self.service.filter_important_image(\n            \"http://example.com/image.png\",\n            positive_prompt=\"an important image\",\n            negative_prompt=\"an unimportant image\"\n        )\n\n        # Verify result\n        self.assertTrue(result[\"is_important\"])\n        self.assertEqual(result[\"confidence\"], 0.7)\n        self.assertEqual(result[\"probabilities\"][\"positive\"], 0.7)\n        self.assertEqual(result[\"probabilities\"][\"negative\"], 0.3)\n\n        # Verify CLIP was used\n        self.service.processor.assert_called_once()\n        self.service.model.assert_called_once()\n\n    @patch('backend.services.data_process_service.IMAGE_FILTER', True)\n    @patch('backend.services.data_process_service.DataProcessService.load_image')\n    @patch('backend.services.data_process_service.DataProcessService.check_image_size')\n    @patch('backend.services.data_process_service.DataProcessService._init_clip_model')\n    @patch('backend.services.data_process_service.logger')\n    @pytest.mark.asyncio\n    async def async_test_filter_important_image_clip_not_available(self, mock_logger, mock_init_clip, mock_check_size, mock_load_image):\n        \"\"\"\n        Async implementation for testing behavior when CLIP model is not available.\n\n        This test verifies that when the CLIP model is not available:\n        1. The service attempts to initialize the CLIP model\n        2. If initialization fails, all images that pass size filtering are considered important\n        3. The result indicates the image is important with maximum confidence\n        \"\"\"\n        # Setup mocks\n        mock_img = MagicMock()\n        mock_img.width = 300\n        mock_img.height = 300\n        mock_load_image.return_value = mock_img\n        mock_check_size.return_value = True  # Image meets size requirements\n\n        # Make CLIP unavailable\n        self.service.clip_available = False\n\n        # Filter image\n        result = await self.service.filter_important_image(\"http://example.com/image.png\")\n\n        # Verify result\n        self.assertTrue(result[\"is_important\"])\n        self.assertEqual(result[\"confidence\"], 1.0)\n        mock_init_clip.assert_called_once()  # CLIP initialization attempted\n\n    @patch('backend.services.data_process_service.IMAGE_FILTER', True)\n    @patch('backend.services.data_process_service.DataProcessService.load_image')\n    @patch('backend.services.data_process_service.DataProcessService.check_image_size')\n    @patch('backend.services.data_process_service.DataProcessService._init_clip_model')\n    @patch('backend.services.data_process_service.logger')\n    @pytest.mark.asyncio\n    async def async_test_filter_important_image_clip_processing_failure(self, mock_logger, mock_init_clip, mock_check_size, mock_load_image):\n        \"\"\"\n        Async implementation for testing CLIP model processing failure fallback.\n\n        This test verifies that when CLIP model processing fails, the service falls back\n        to size-only filtering with predefined confidence values.\n        It ensures that:\n        1. The image passes size requirements\n        2. CLIP model is available and initialized\n        3. CLIP processing fails during model execution\n        4. The service falls back to size-only filtering\n        5. A warning is logged about the CLIP processing failure\n        6. The result indicates the image is important with fallback confidence values\n        \"\"\"\n        # Setup mocks\n        mock_img = MagicMock()\n        mock_img.width = 300\n        mock_img.height = 300\n        mock_img.mode = 'RGB'\n        mock_load_image.return_value = mock_img\n        mock_check_size.return_value = True  # Image meets size requirements\n\n        # Setup CLIP model mocks\n        self.service.clip_available = True\n        self.service.model = MagicMock()\n        self.service.processor = MagicMock()\n\n        # Setup processor to raise exception during processing\n        self.service.processor.side_effect = Exception(\n            \"CLIP model processing failed\")\n\n        # Filter image\n        result = await self.service.filter_important_image(\"http://example.com/image.png\")\n\n        # Verify result - should fall back to size-only filtering\n        self.assertTrue(result[\"is_important\"])\n        self.assertEqual(result[\"confidence\"], 0.8)\n        self.assertEqual(result[\"probabilities\"][\"positive\"], 0.8)\n        self.assertEqual(result[\"probabilities\"][\"negative\"], 0.2)\n\n        # Verify warning was logged\n        mock_logger.warning.assert_called_once()\n        warning_call = mock_logger.warning.call_args[0][0]\n        self.assertIn(\n            \"CLIP processing failed, using size-only filter\", warning_call)\n        self.assertIn(\"CLIP model processing failed\", warning_call)\n\n        # Verify CLIP was attempted\n        self.service.processor.assert_called_once()\n\n    @patch('backend.services.data_process_service.IMAGE_FILTER', True)\n    @patch('backend.services.data_process_service.DataProcessService.load_image')\n    @patch('backend.services.data_process_service.DataProcessService.check_image_size')\n    @patch('backend.services.data_process_service.DataProcessService._init_clip_model')\n    @patch('backend.services.data_process_service.logger')\n    @patch('PIL.Image.new')\n    @pytest.mark.asyncio\n    async def async_test_filter_important_image_general_exception(self, mock_image_new, mock_logger, mock_init_clip, mock_check_size, mock_load_image):\n        \"\"\"\n        Async implementation for testing general exception handling in image filtering.\n\n        This test verifies that when a general exception occurs during image processing,\n        the service properly logs the error and raises an exception.\n        It ensures that:\n        1. An exception occurs during the image filtering process (outside CLIP processing)\n        2. The error is logged with appropriate context\n        3. An exception is raised to the caller\n        4. The exception message includes the original error details\n        \"\"\"\n        # Setup mocks\n        mock_img = MagicMock()\n        mock_img.width = 300\n        mock_img.height = 300\n        mock_img.mode = 'RGBA'  # Set to RGBA to trigger the conversion path\n        mock_load_image.return_value = mock_img\n        mock_check_size.return_value = True  # Image meets size requirements\n\n        # Setup CLIP model mocks\n        self.service.clip_available = True\n        self.service.model = MagicMock()\n        self.service.processor = MagicMock()\n\n        # Make the image mode conversion fail to trigger the outer exception handler\n        mock_image_new.side_effect = Exception(\"Image conversion failed\")\n\n        # Filter image - should raise exception\n        with self.assertRaises(Exception) as context:\n            await self.service.filter_important_image(\"http://example.com/image.png\")\n\n        # Verify exception message\n        self.assertIn(\n            \"Error processing image: Image conversion failed\", str(context.exception))\n\n        # Verify error was logged\n        mock_logger.error.assert_called_once()\n        error_call = mock_logger.error.call_args[0][0]\n        self.assertIn(\n            \"Error processing image: Image conversion failed\", error_call)\n\n        # Verify image conversion was attempted\n        mock_image_new.assert_called_once()\n\n    def test_filter_important_image(self):\n        \"\"\"\n        Test image importance filtering.\n\n        This test serves as a wrapper to run the async tests for filter_important_image.\n        It verifies that the service can filter images based on:\n        1. Size requirements\n        2. CLIP model assessment when available\n        3. Global configuration settings\n        4. CLIP processing failure fallback\n        5. General exception handling\n        \"\"\"\n        asyncio.run(self.async_test_filter_important_image_size_filter())\n        asyncio.run(self.async_test_filter_important_image_filter_disabled())\n        asyncio.run(self.async_test_filter_important_image_clip_not_available())\n        asyncio.run(self.async_test_filter_important_image_with_clip())\n        asyncio.run(\n            self.async_test_filter_important_image_clip_processing_failure())\n        asyncio.run(self.async_test_filter_important_image_general_exception())\n\n    @patch('backend.services.data_process_service.DataProcessService')\n    def test_get_data_process_service(self, mock_service_class):\n        \"\"\"\n        Test the get_data_process_service global instance function.\n\n        This test verifies the singleton pattern implementation:\n        1. The first call creates a new service instance\n        2. Subsequent calls return the same instance\n        3. The service class constructor is only called once\n        4. The global variable _data_process_service is properly set\n        \"\"\"\n        # Set up module level variable to None\n        import backend.services.data_process_service as dps_module\n        dps_module._data_process_service = None\n\n        # Create mock service\n        mock_service = MagicMock()\n        mock_service_class.return_value = mock_service\n\n        # First call should create new instance\n        service1 = get_data_process_service()\n        mock_service_class.assert_called_once()\n        self.assertEqual(service1, mock_service)\n\n        # Second call should return the same instance\n        service2 = get_data_process_service()\n        mock_service_class.assert_called_once()  # Still only called once\n        self.assertEqual(service2, mock_service)\n        self.assertEqual(service1, service2)\n\n    @patch('backend.services.data_process_service.chain')\n    @patch('backend.services.data_process_service.forward')\n    @patch('backend.services.data_process_service.process')\n    @pytest.mark.asyncio\n    async def async_test_create_batch_tasks_impl_success(self, mock_process, mock_forward, mock_chain):\n        \"\"\"\n        Async implementation for testing successful batch task creation.\n\n        This test verifies that the service correctly creates batch tasks.\n        It ensures that:\n        1. Individual tasks are created for each source in the request\n        2. The process_and_forward.delay method is called with correct parameters\n        3. Task IDs are collected and returned\n        4. All valid source configurations are processed\n        \"\"\"\n        # Setup Celery signature mocks\n        process_sig_1 = MagicMock()\n        process_sig_1.set.return_value = process_sig_1\n        process_sig_2 = MagicMock()\n        process_sig_2.set.return_value = process_sig_2\n        forward_sig_1 = MagicMock()\n        forward_sig_1.set.return_value = forward_sig_1\n        forward_sig_2 = MagicMock()\n        forward_sig_2.set.return_value = forward_sig_2\n\n        # process.s returns different sig objects per call\n        mock_process.s.side_effect = [process_sig_1, process_sig_2]\n        mock_forward.s.side_effect = [forward_sig_1, forward_sig_2]\n\n        # chain(...).apply_async() returns result with id\n        chain_inst_1 = MagicMock()\n        chain_inst_1.apply_async.return_value = MagicMock(id=\"task_id_1\")\n        chain_inst_2 = MagicMock()\n        chain_inst_2.apply_async.return_value = MagicMock(id=\"task_id_2\")\n        mock_chain.side_effect = [chain_inst_1, chain_inst_2]\n\n        # Create test request\n        from consts.model import BatchTaskRequest\n        request = BatchTaskRequest(\n            sources=[\n                {\n                    'source': 'http://example.com/doc1.pdf',\n                    'source_type': 'url',\n                    'chunking_strategy': 'semantic',\n                    'index_name': 'test_index_1',\n                    'original_filename': 'doc1.pdf'\n                },\n                {\n                    'source': 'http://example.com/doc2.pdf',\n                    'source_type': 'url',\n                    'chunking_strategy': 'fixed',\n                    'index_name': 'test_index_2',\n                    'original_filename': 'doc2.pdf'\n                }\n            ]\n        )\n\n        # Create batch tasks\n        result = await self.service.create_batch_tasks_impl(\"Bearer test_token\", request)\n\n        # Verify result\n        self.assertEqual(len(result), 2)\n        self.assertEqual(result[0], \"task_id_1\")\n        self.assertEqual(result[1], \"task_id_2\")\n\n        # Verify chain was invoked for each source\n        self.assertEqual(mock_chain.call_count, 2)\n\n        # Verify process.s and forward.s were called with correct params\n        expected_process_calls = [\n            {\n                'source': 'http://example.com/doc1.pdf',\n                'source_type': 'url',\n                'chunking_strategy': 'semantic',\n                'index_name': 'test_index_1',\n                'original_filename': 'doc1.pdf'\n            },\n            {\n                'source': 'http://example.com/doc2.pdf',\n                'source_type': 'url',\n                'chunking_strategy': 'fixed',\n                'index_name': 'test_index_2',\n                'original_filename': 'doc2.pdf'\n            }\n        ]\n        actual_process_calls = [kwargs for args,\n                                kwargs in mock_process.s.call_args_list]\n        self.assertEqual(actual_process_calls, expected_process_calls)\n        process_sig_1.set.assert_called_once_with(queue='process_q')\n        process_sig_2.set.assert_called_once_with(queue='process_q')\n\n        expected_forward_calls = [\n            {\n                'index_name': 'test_index_1',\n                'source': 'http://example.com/doc1.pdf',\n                'source_type': 'url',\n                'original_filename': 'doc1.pdf',\n                'authorization': 'Bearer test_token'\n            },\n            {\n                'index_name': 'test_index_2',\n                'source': 'http://example.com/doc2.pdf',\n                'source_type': 'url',\n                'original_filename': 'doc2.pdf',\n                'authorization': 'Bearer test_token'\n            }\n        ]\n        actual_forward_calls = [kwargs for args,\n                                kwargs in mock_forward.s.call_args_list]\n        self.assertEqual(actual_forward_calls, expected_forward_calls)\n        forward_sig_1.set.assert_called_once_with(queue='forward_q')\n        forward_sig_2.set.assert_called_once_with(queue='forward_q')\n\n    @patch('backend.services.data_process_service.chain')\n    @patch('backend.services.data_process_service.forward')\n    @patch('backend.services.data_process_service.process')\n    @pytest.mark.asyncio\n    async def async_test_create_batch_tasks_impl_missing_source(self, mock_process, mock_forward, mock_chain):\n        \"\"\"\n        Async implementation for testing batch task creation with missing source field.\n\n        This test verifies that the service handles missing source field correctly.\n        It ensures that:\n        1. Tasks with missing 'source' field are skipped\n        2. An error is logged for the invalid configuration\n        3. Only valid source configurations are processed\n        4. The method continues processing other sources\n        \"\"\"\n        # Setup signature mocks\n        process_sig = MagicMock()\n        process_sig.set.return_value = process_sig\n        forward_sig = MagicMock()\n        forward_sig.set.return_value = forward_sig\n        mock_process.s.return_value = process_sig\n        mock_forward.s.return_value = forward_sig\n        chain_inst = MagicMock()\n        chain_inst.apply_async.return_value = MagicMock(id=\"task_id_1\")\n        mock_chain.return_value = chain_inst\n\n        # Create test request with missing source\n        from consts.model import BatchTaskRequest\n        request = BatchTaskRequest(\n            sources=[\n                {\n                    'source_type': 'url',\n                    'chunking_strategy': 'semantic',\n                    'index_name': 'test_index_1',\n                    'original_filename': 'doc1.pdf'\n                    # Missing 'source' field\n                },\n                {\n                    'source': 'http://example.com/doc2.pdf',\n                    'source_type': 'url',\n                    'chunking_strategy': 'fixed',\n                    'index_name': 'test_index_2',\n                    'original_filename': 'doc2.pdf'\n                }\n            ]\n        )\n\n        # Create batch tasks\n        result = await self.service.create_batch_tasks_impl(\"Bearer test_token\", request)\n\n        # Verify result - only one task should be created\n        self.assertEqual(len(result), 1)\n        self.assertEqual(result[0], \"task_id_1\")\n\n        # Verify chain called once with built signatures\n        mock_chain.assert_called_once()\n        mock_process.s.assert_called_once()\n        mock_forward.s.assert_called_once()\n        self.assertEqual(\n            mock_process.s.call_args[1]['source'], 'http://example.com/doc2.pdf')\n        self.assertEqual(\n            mock_process.s.call_args[1]['index_name'], 'test_index_2')\n\n    @patch('backend.services.data_process_service.chain')\n    @patch('backend.services.data_process_service.forward')\n    @patch('backend.services.data_process_service.process')\n    @pytest.mark.asyncio\n    async def async_test_create_batch_tasks_impl_missing_index_name(self, mock_process, mock_forward, mock_chain):\n        \"\"\"\n        Async implementation for testing batch task creation with missing index_name field.\n\n        This test verifies that the service handles missing index_name field correctly.\n        It ensures that:\n        1. Tasks with missing 'index_name' field are skipped\n        2. An error is logged for the invalid configuration\n        3. Only valid source configurations are processed\n        4. The method continues processing other sources\n        \"\"\"\n        # Setup signature mocks\n        process_sig = MagicMock()\n        process_sig.set.return_value = process_sig\n        forward_sig = MagicMock()\n        forward_sig.set.return_value = forward_sig\n        mock_process.s.return_value = process_sig\n        mock_forward.s.return_value = forward_sig\n        chain_inst = MagicMock()\n        chain_inst.apply_async.return_value = MagicMock(id=\"task_id_1\")\n        mock_chain.return_value = chain_inst\n\n        # Create test request with missing index_name\n        from consts.model import BatchTaskRequest\n        request = BatchTaskRequest(\n            sources=[\n                {\n                    'source': 'http://example.com/doc1.pdf',\n                    'source_type': 'url',\n                    'chunking_strategy': 'semantic',\n                    'original_filename': 'doc1.pdf'\n                    # Missing 'index_name' field\n                },\n                {\n                    'source': 'http://example.com/doc2.pdf',\n                    'source_type': 'url',\n                    'chunking_strategy': 'fixed',\n                    'index_name': 'test_index_2',\n                    'original_filename': 'doc2.pdf'\n                }\n            ]\n        )\n\n        # Create batch tasks\n        result = await self.service.create_batch_tasks_impl(\"Bearer test_token\", request)\n\n        # Verify result - only one task should be created\n        self.assertEqual(len(result), 1)\n        self.assertEqual(result[0], \"task_id_1\")\n\n        # Verify chain called once with built signatures\n        mock_chain.assert_called_once()\n        mock_process.s.assert_called_once()\n        mock_forward.s.assert_called_once()\n        self.assertEqual(\n            mock_process.s.call_args[1]['source'], 'http://example.com/doc2.pdf')\n        self.assertEqual(\n            mock_process.s.call_args[1]['index_name'], 'test_index_2')\n\n    @patch('backend.services.data_process_service.chain')\n    @patch('backend.services.data_process_service.forward')\n    @patch('backend.services.data_process_service.process')\n    @pytest.mark.asyncio\n    async def async_test_create_batch_tasks_impl_missing_both_required_fields(self, mock_process, mock_forward, mock_chain):\n        \"\"\"\n        Async implementation for testing batch task creation with both required fields missing.\n\n        This test verifies that the service handles multiple invalid configurations correctly.\n        It ensures that:\n        1. Tasks with missing required fields are skipped\n        2. Errors are logged for invalid configurations\n        3. No tasks are created when all sources are invalid\n        4. The method returns an empty list\n        \"\"\"\n        # Create test request with all sources missing required fields\n        from consts.model import BatchTaskRequest\n        request = BatchTaskRequest(\n            sources=[\n                {\n                    'source_type': 'url',\n                    'chunking_strategy': 'semantic',\n                    'original_filename': 'doc1.pdf'\n                    # Missing both 'source' and 'index_name' fields\n                },\n                {\n                    'source_type': 'url',\n                    'chunking_strategy': 'fixed',\n                    'original_filename': 'doc2.pdf'\n                    # Missing both 'source' and 'index_name' fields\n                }\n            ]\n        )\n\n        # Create batch tasks\n        result = await self.service.create_batch_tasks_impl(\"Bearer test_token\", request)\n\n        # Verify result - no tasks should be created\n        self.assertEqual(len(result), 0)\n\n        # Verify no chain created\n        mock_chain.assert_not_called()\n        mock_process.s.assert_not_called()\n        mock_forward.s.assert_not_called()\n\n    @patch('backend.services.data_process_service.chain')\n    @patch('backend.services.data_process_service.forward')\n    @patch('backend.services.data_process_service.process')\n    @pytest.mark.asyncio\n    async def async_test_create_batch_tasks_impl_empty_sources(self, mock_process, mock_forward, mock_chain):\n        \"\"\"\n        Async implementation for testing batch task creation with empty sources list.\n\n        This test verifies that the service handles empty sources list correctly.\n        It ensures that:\n        1. No tasks are created when sources list is empty\n        2. The method returns an empty list\n        3. No errors occur during processing\n        \"\"\"\n        # Create test request with empty sources\n        from consts.model import BatchTaskRequest\n        request = BatchTaskRequest(sources=[])\n\n        # Create batch tasks\n        result = await self.service.create_batch_tasks_impl(\"Bearer test_token\", request)\n\n        # Verify result - no tasks should be created\n        self.assertEqual(len(result), 0)\n\n        # Verify no chain created\n        mock_chain.assert_not_called()\n        mock_process.s.assert_not_called()\n        mock_forward.s.assert_not_called()\n\n    @patch('backend.services.data_process_service.chain')\n    @patch('backend.services.data_process_service.forward')\n    @patch('backend.services.data_process_service.process')\n    @pytest.mark.asyncio\n    async def async_test_create_batch_tasks_impl_optional_fields(self, mock_process, mock_forward, mock_chain):\n        \"\"\"\n        Async implementation for testing batch task creation with optional fields.\n\n        This test verifies that the service handles optional fields correctly.\n        It ensures that:\n        1. Tasks are created even when optional fields are missing\n        2. Optional fields are passed as None when not provided\n        3. The method processes all valid sources regardless of optional field presence\n        \"\"\"\n        # Setup signature mocks\n        process_sig = MagicMock()\n        process_sig.set.return_value = process_sig\n        forward_sig = MagicMock()\n        forward_sig.set.return_value = forward_sig\n        mock_process.s.return_value = process_sig\n        mock_forward.s.return_value = forward_sig\n        chain_inst = MagicMock()\n        chain_inst.apply_async.return_value = MagicMock(id=\"task_id_1\")\n        mock_chain.return_value = chain_inst\n\n        # Create test request with minimal required fields only\n        from consts.model import BatchTaskRequest\n        request = BatchTaskRequest(\n            sources=[\n                {\n                    'source': 'http://example.com/doc1.pdf',\n                    'index_name': 'test_index_1'\n                    # Only required fields, optional fields missing\n                }\n            ]\n        )\n\n        # Create batch tasks\n        result = await self.service.create_batch_tasks_impl(\"Bearer test_token\", request)\n\n        # Verify result\n        self.assertEqual(len(result), 1)\n        self.assertEqual(result[0], \"task_id_1\")\n\n        # Verify signatures built with None optional fields for process, and authorization on forward\n        mock_process.s.assert_called_once()\n        proc_kwargs = mock_process.s.call_args[1]\n        self.assertEqual(proc_kwargs['source'], 'http://example.com/doc1.pdf')\n        self.assertEqual(proc_kwargs['index_name'], 'test_index_1')\n        self.assertIsNone(proc_kwargs['source_type'])\n        self.assertIsNone(proc_kwargs['chunking_strategy'])\n        self.assertIsNone(proc_kwargs['original_filename'])\n\n        mock_forward.s.assert_called_once()\n        fwd_kwargs = mock_forward.s.call_args[1]\n        self.assertEqual(fwd_kwargs['authorization'], 'Bearer test_token')\n\n    @patch('backend.services.data_process_service.chain')\n    @patch('backend.services.data_process_service.forward')\n    @patch('backend.services.data_process_service.process')\n    @pytest.mark.asyncio\n    async def async_test_create_batch_tasks_impl_no_authorization(self, mock_process, mock_forward, mock_chain):\n        \"\"\"\n        Async implementation for testing batch task creation without authorization.\n\n        This test verifies that the service handles missing authorization correctly.\n        It ensures that:\n        1. Tasks are created even when authorization is None\n        2. None is passed as authorization parameter\n        3. The method processes all valid sources\n        \"\"\"\n        # Setup signature mocks\n        process_sig = MagicMock()\n        process_sig.set.return_value = process_sig\n        forward_sig = MagicMock()\n        forward_sig.set.return_value = forward_sig\n        mock_process.s.return_value = process_sig\n        mock_forward.s.return_value = forward_sig\n        chain_inst = MagicMock()\n        chain_inst.apply_async.return_value = MagicMock(id=\"task_id_1\")\n        mock_chain.return_value = chain_inst\n\n        # Create test request\n        from consts.model import BatchTaskRequest\n        request = BatchTaskRequest(\n            sources=[\n                {\n                    'source': 'http://example.com/doc1.pdf',\n                    'source_type': 'url',\n                    'chunking_strategy': 'semantic',\n                    'index_name': 'test_index_1',\n                    'original_filename': 'doc1.pdf'\n                }\n            ]\n        )\n\n        # Create batch tasks without authorization\n        result = await self.service.create_batch_tasks_impl(None, request)\n\n        # Verify result\n        self.assertEqual(len(result), 1)\n        self.assertEqual(result[0], \"task_id_1\")\n\n        # Verify forward.s called with None authorization\n        mock_forward.s.assert_called_once()\n        fwd_kwargs = mock_forward.s.call_args[1]\n        self.assertEqual(fwd_kwargs['source'], 'http://example.com/doc1.pdf')\n        self.assertEqual(fwd_kwargs['index_name'], 'test_index_1')\n        self.assertIsNone(fwd_kwargs['authorization'])\n\n    def test_create_batch_tasks_impl(self):\n        \"\"\"\n        Test batch task creation functionality.\n\n        This test serves as a wrapper to run the async tests for create_batch_tasks_impl.\n        It verifies that the service can create batch tasks with various configurations:\n        1. Successful creation with all fields\n        2. Handling missing required fields (source, index_name)\n        3. Handling empty sources list\n        4. Handling optional fields\n        5. Handling missing authorization\n        \"\"\"\n        asyncio.run(self.async_test_create_batch_tasks_impl_success())\n        asyncio.run(self.async_test_create_batch_tasks_impl_missing_source())\n        asyncio.run(\n            self.async_test_create_batch_tasks_impl_missing_index_name())\n        asyncio.run(\n            self.async_test_create_batch_tasks_impl_missing_both_required_fields())\n        asyncio.run(self.async_test_create_batch_tasks_impl_empty_sources())\n        asyncio.run(self.async_test_create_batch_tasks_impl_optional_fields())\n        asyncio.run(self.async_test_create_batch_tasks_impl_no_authorization())\n\n    @patch('backend.services.data_process_service.DataProcessCore')\n    @pytest.mark.asyncio\n    async def async_test_process_uploaded_text_file(self, mock_data_process_core):\n        \"\"\"\n        Async implementation for testing processing uploaded text file with mixed chunks.\n\n        This test verifies that:\n        1. Chunks with 'content' are concatenated and returned\n        2. Chunks without 'content' are ignored from text/chunks but count towards chunks_count\n        3. Returned metadata fields are set correctly\n        \"\"\"\n        # Arrange: mock DataProcessCore.file_process to return mixed chunks\n        mock_instance = MagicMock()\n        mock_instance.file_process.return_value = [\n            {\"content\": \"First chunk\"},\n            {\"no_content\": True},\n            {\"content\": \"Second chunk\"},\n        ]\n        mock_data_process_core.return_value = mock_instance\n\n        filename = \"test.txt\"\n        chunking_strategy = \"semantic\"\n        file_bytes = b\"ignored-by-mock\"\n\n        # Act\n        result = await self.service.process_uploaded_text_file(\n            file_content=file_bytes,\n            filename=filename,\n            chunking_strategy=chunking_strategy\n        )\n\n        # Assert core call\n        mock_instance.file_process.assert_called_once_with(\n            file_data=file_bytes,\n            filename=filename,\n            chunking_strategy=chunking_strategy\n        )\n\n        # Assert result shape and values\n        self.assertTrue(result[\"success\"])\n        self.assertEqual(result[\"filename\"], filename)\n        self.assertEqual(result[\"chunking_strategy\"], chunking_strategy)\n        self.assertEqual(result[\"chunks\"], [\"First chunk\", \"Second chunk\"])\n        # includes chunk without 'content'\n        self.assertEqual(result[\"chunks_count\"], 3)\n        self.assertEqual(result[\"text\"], \"First chunk\\nSecond chunk\")\n        self.assertEqual(result[\"text_length\"],\n                         len(\"First chunk\\nSecond chunk\"))\n\n    def test_process_uploaded_text_file(self):\n        \"\"\"\n        Test wrapper to run the async test for processing uploaded text files.\n        \"\"\"\n        asyncio.run(self.async_test_process_uploaded_text_file())\n\n    def test_convert_celery_states_to_custom(self):\n        \"\"\"\n        Minimal branch coverage for convert_celery_states_to_custom.\n\n        Covers:\n        - process FAILURE override\n        - forward FAILURE override\n        - both SUCCESS -> COMPLETED\n        - both None -> WAIT_FOR_PROCESSING\n        - only forward STARTED -> FORWARDING\n        - only process STARTED -> PROCESSING\n        \"\"\"\n        # process FAILURE has priority\n        self.assertEqual(\n            self.service.convert_celery_states_to_custom(\n                process_celery_state=states.FAILURE, forward_celery_state=states.PENDING),\n            \"PROCESS_FAILED\"\n        )\n\n        # forward FAILURE has next priority\n        self.assertEqual(\n            self.service.convert_celery_states_to_custom(\n                process_celery_state=states.SUCCESS, forward_celery_state=states.FAILURE),\n            \"FORWARD_FAILED\"\n        )\n\n        # both SUCCESS -> COMPLETED\n        self.assertEqual(\n            self.service.convert_celery_states_to_custom(\n                process_celery_state=states.SUCCESS, forward_celery_state=states.SUCCESS),\n            \"COMPLETED\"\n        )\n\n        # both None -> WAIT_FOR_PROCESSING\n        self.assertEqual(\n            self.service.convert_celery_states_to_custom(\n                process_celery_state=None, forward_celery_state=None),\n            \"WAIT_FOR_PROCESSING\"\n        )\n\n        # only forward state present -> map forward STARTED -> FORWARDING\n        self.assertEqual(\n            self.service.convert_celery_states_to_custom(\n                process_celery_state=None, forward_celery_state=states.STARTED),\n            \"FORWARDING\"\n        )\n\n        # only process state present -> map process STARTED -> PROCESSING\n        self.assertEqual(\n            self.service.convert_celery_states_to_custom(\n                process_celery_state=states.STARTED, forward_celery_state=None),\n            \"PROCESSING\"\n        )\n\n    async def test_convert_celery_states_wait_for_processing(self):\n        \"\"\"\n        Cover return \"WAIT_FOR_PROCESSING\" branches:\n        - both states are None\n        - process state PENDING, forward None\n        - process state unknown, forward None (fallback default)\n        \"\"\"\n        # both None -> WAIT_FOR_PROCESSING\n        self.assertEqual(\n            self.service.convert_celery_states_to_custom(\n                process_celery_state=None, forward_celery_state=None\n            ),\n            \"WAIT_FOR_PROCESSING\",\n        )\n\n        # process PENDING with no forward -> WAIT_FOR_PROCESSING\n        self.assertEqual(\n            self.service.convert_celery_states_to_custom(\n                process_celery_state=states.PENDING, forward_celery_state=None\n            ),\n            \"WAIT_FOR_PROCESSING\",\n        )\n\n        # unknown process state with no forward -> default WAIT_FOR_PROCESSING\n        self.assertEqual(\n            self.service.convert_celery_states_to_custom(\n                process_celery_state=\"UNKNOWN_STATE\", forward_celery_state=None\n            ),\n            \"WAIT_FOR_PROCESSING\",\n        )\n\n    async def test_convert_celery_states_wait_for_processing_empty_strings(self):\n        \"\"\"\n        Explicitly cover the last-line default return by passing empty strings\n        (falsy values) for both states.\n        \"\"\"\n        self.assertEqual(\n            self.service.convert_celery_states_to_custom(\n                process_celery_state=\"\", forward_celery_state=\"\"\n            ),\n            \"WAIT_FOR_PROCESSING\",\n        )\n\n    @pytest.mark.asyncio\n    async def async_test_convert_to_base64(self):\n        \"\"\"\n        Minimal branch coverage for convert_to_base64:\n        - When image.format is set(e.g., PNG)\n        - When image.format is None (defaults to JPEG)\n        \"\"\"\n        # PNG branch\n        img_png = Image.new('RGB', (10, 10), color='red')\n        img_png.format = 'PNG'\n        b64_png, content_type_png = await self.service.convert_to_base64(img_png)\n        self.assertTrue(isinstance(b64_png, str) and len(b64_png) > 0)\n        self.assertEqual(content_type_png, 'image/png')\n        decoded_png = base64.b64decode(b64_png)\n        opened_png = Image.open(io.BytesIO(decoded_png))\n        self.assertEqual(opened_png.format, 'PNG')\n        self.assertEqual(opened_png.size, (10, 10))\n\n        # Default JPEG branch\n        # format is None by default\n        img_jpeg = Image.new('RGB', (8, 8), color='blue')\n        self.assertIsNone(img_jpeg.format)\n        b64_jpeg, content_type_jpeg = await self.service.convert_to_base64(img_jpeg)\n        self.assertTrue(isinstance(b64_jpeg, str) and len(b64_jpeg) > 0)\n        self.assertEqual(content_type_jpeg, 'image/jpeg')\n        decoded_jpeg = base64.b64decode(b64_jpeg)\n        opened_jpeg = Image.open(io.BytesIO(decoded_jpeg))\n        self.assertEqual(opened_jpeg.format, 'JPEG')\n        self.assertEqual(opened_jpeg.size, (8, 8))\n\n    def test_convert_to_base64(self):\n        \"\"\"\n        Test wrapper to run async test for convert_to_base64.\n        \"\"\"\n        asyncio.run(self.async_test_convert_to_base64())\n\n\n    @patch('backend.services.data_process_service.convert_office_to_pdf',\n           new_callable=AsyncMock)\n    @patch('backend.services.data_process_service.upload_file')\n    @patch('backend.services.data_process_service.get_file_size_from_minio')\n    @patch('backend.services.data_process_service.get_file_stream')\n    @patch('shutil.rmtree')\n    @patch('tempfile.mkdtemp', return_value='/tmp/test_cv')\n    @patch('os.path.exists', return_value=True)\n    def test_convert_office_to_pdf_impl_success(\n        self, _exists, _mkdtemp, mock_rmtree,\n        mock_get_stream, mock_get_size, mock_upload, mock_convert\n    ):\n        \"\"\"Happy path: full pipeline completes and temp dir is cleaned up.\"\"\"\n        mock_get_stream.side_effect = [\n            self._make_stream(b'DOC data'),      # Step 1: original file\n            self._make_stream(b'%PDF-1.4 ok'),   # Step 4: header check\n        ]\n        mock_get_size.return_value = 208\n        mock_upload.return_value = {'success': True}\n        mock_convert.return_value = '/tmp/test_cv/doc.pdf'\n\n        with patch('builtins.open', MagicMock()):\n            asyncio.run(\n                self.service.convert_office_to_pdf_impl(\n                    'uploads/doc.docx', 'converted/doc.pdf'\n                )\n            )\n\n        mock_convert.assert_called_once()\n        mock_rmtree.assert_called_once_with('/tmp/test_cv')\n\n    @patch('backend.services.data_process_service.get_file_stream',\n           return_value=None)\n    @patch('shutil.rmtree')\n    @patch('tempfile.mkdtemp', return_value='/tmp/test_cv')\n    @patch('os.path.exists', return_value=True)\n    def test_convert_office_to_pdf_impl_source_not_found(\n        self, _exists, _mkdtemp, mock_rmtree, _get_stream\n    ):\n        \"\"\"Source file missing → OfficeConversionException.\"\"\"\n        # Prevent cleanup path from calling real delete_file\n        sys.modules['database.attachment_db'].file_exists = MagicMock(\n            return_value=False\n        )\n        with self.assertRaises(OfficeConversionException) as ctx:\n            asyncio.run(\n                self.service.convert_office_to_pdf_impl(\n                    'uploads/missing.docx', 'converted/missing.pdf'\n                )\n            )\n        self.assertIn('Source file not found', str(ctx.exception))\n\n    @patch('backend.services.data_process_service.convert_office_to_pdf',\n           new_callable=AsyncMock)\n    @patch('backend.services.data_process_service.get_file_stream')\n    @patch('shutil.rmtree')\n    @patch('tempfile.mkdtemp', return_value='/tmp/test_cv')\n    @patch('os.path.exists', return_value=True)\n    def test_convert_office_to_pdf_impl_libreoffice_failure(\n        self, _exists, _mkdtemp, mock_rmtree, mock_get_stream, mock_convert\n    ):\n        \"\"\"LibreOffice error → OfficeConversionException.\"\"\"\n        mock_get_stream.return_value = self._make_stream(b'DOC data')\n        mock_convert.side_effect = RuntimeError('soffice not found')\n        sys.modules['database.attachment_db'].file_exists = MagicMock(\n            return_value=False\n        )\n        with patch('builtins.open', MagicMock()):\n            with self.assertRaises(OfficeConversionException) as ctx:\n                asyncio.run(\n                    self.service.convert_office_to_pdf_impl(\n                        'uploads/doc.docx', 'converted/doc.pdf'\n                    )\n                )\n        self.assertIn('LibreOffice conversion failed', str(ctx.exception))\n\n    @patch('backend.services.data_process_service.convert_office_to_pdf',\n           new_callable=AsyncMock)\n    @patch('backend.services.data_process_service.upload_file')\n    @patch('backend.services.data_process_service.get_file_stream')\n    @patch('shutil.rmtree')\n    @patch('tempfile.mkdtemp', return_value='/tmp/test_cv')\n    @patch('os.path.exists', return_value=True)\n    def test_convert_office_to_pdf_impl_upload_failure(\n        self, _exists, _mkdtemp, mock_rmtree,\n        mock_get_stream, mock_upload, mock_convert\n    ):\n        \"\"\"Upload failure → OfficeConversionException with error detail.\"\"\"\n        mock_get_stream.return_value = self._make_stream(b'DOC data')\n        mock_convert.return_value = '/tmp/test_cv/doc.pdf'\n        mock_upload.return_value = {'success': False, 'error': 'quota exceeded'}\n        sys.modules['database.attachment_db'].file_exists = MagicMock(\n            return_value=False\n        )\n        with patch('builtins.open', MagicMock()):\n            with self.assertRaises(OfficeConversionException) as ctx:\n                asyncio.run(\n                    self.service.convert_office_to_pdf_impl(\n                        'uploads/doc.docx', 'converted/doc.pdf'\n                    )\n                )\n        self.assertIn('Failed to upload PDF', str(ctx.exception))\n\n    @patch('backend.services.data_process_service.delete_file')\n    @patch('backend.services.data_process_service.file_exists', return_value=True)\n    @patch('backend.services.data_process_service.convert_office_to_pdf',\n           new_callable=AsyncMock)\n    @patch('backend.services.data_process_service.upload_file')\n    @patch('backend.services.data_process_service.get_file_size_from_minio')\n    @patch('backend.services.data_process_service.get_file_stream')\n    @patch('shutil.rmtree')\n    @patch('tempfile.mkdtemp', return_value='/tmp/test_cv')\n    @patch('os.path.exists', return_value=True)\n    def test_convert_office_to_pdf_impl_invalid_pdf_header(\n        self, _exists, _mkdtemp, mock_rmtree,\n        mock_get_stream, mock_get_size, mock_upload, mock_convert,\n        mock_file_exists, mock_delete_file\n    ):\n        \"\"\"Invalid PDF header → OfficeConversionException; remote file deleted.\"\"\"\n        mock_get_stream.side_effect = [\n            self._make_stream(b'DOC data'),      # Step 1: original file\n            self._make_stream(b'NOT-PDF'),       # Step 4: header check\n        ]\n        mock_get_size.return_value = 208\n        mock_upload.return_value = {'success': True}\n        mock_convert.return_value = '/tmp/test_cv/doc.pdf'\n\n        with patch('builtins.open', MagicMock()):\n            with self.assertRaises(OfficeConversionException) as ctx:\n                asyncio.run(\n                    self.service.convert_office_to_pdf_impl(\n                        'uploads/doc.docx', 'converted/doc.pdf'\n                    )\n                )\n        self.assertIn('invalid PDF header', str(ctx.exception))\n        mock_delete_file.assert_called_once_with('converted/doc.pdf')\n\n    @patch('backend.services.data_process_service.file_exists', return_value=False)\n    @patch('backend.services.data_process_service.get_file_stream', return_value=None)\n    @patch('shutil.rmtree')\n    @patch('tempfile.mkdtemp', return_value='/tmp/test_cv')\n    @patch('os.path.exists', return_value=True)\n    def test_convert_office_to_pdf_impl_no_remote_cleanup_when_not_exists(\n        self, _exists, _mkdtemp, mock_rmtree, _get_stream, mock_file_exists\n    ):\n        \"\"\"OfficeConversionException raised and file_exists=False → delete_file never called.\"\"\"\n        with patch('backend.services.data_process_service.delete_file') as mock_del:\n            with self.assertRaises(OfficeConversionException):\n                asyncio.run(\n                    self.service.convert_office_to_pdf_impl(\n                        'uploads/doc.docx', 'converted/doc.pdf'\n                    )\n                )\n        mock_del.assert_not_called()\n\n    @patch('backend.services.data_process_service.get_file_stream', return_value=None)\n    @patch('shutil.rmtree')\n    @patch('tempfile.mkdtemp', side_effect=OSError('no space left on device'))\n    @patch('os.path.exists', return_value=True)\n    def test_convert_office_to_pdf_impl_mkdtemp_failure(\n        self, _exists, mock_mkdtemp, mock_rmtree, _get_stream\n    ):\n        \"\"\"tempfile.mkdtemp raises → temp_dir stays None → finally skips cleanup.\"\"\"\n        with self.assertRaises(OfficeConversionException) as ctx:\n            asyncio.run(\n                self.service.convert_office_to_pdf_impl(\n                    'uploads/doc.docx', 'converted/doc.pdf'\n                )\n            )\n        self.assertIn('Unexpected error', str(ctx.exception))\n        mock_rmtree.assert_not_called()\n\n    @patch('backend.services.data_process_service.convert_office_to_pdf',\n           new_callable=AsyncMock)\n    @patch('backend.services.data_process_service.upload_file')\n    @patch('backend.services.data_process_service.get_file_size_from_minio')\n    @patch('backend.services.data_process_service.get_file_stream')\n    @patch('shutil.rmtree')\n    @patch('tempfile.mkdtemp', return_value='/tmp/test_cv')\n    @patch('os.path.exists', return_value=True)\n    def test_convert_office_to_pdf_impl_size_zero(\n        self, _exists, _mkdtemp, mock_rmtree,\n        mock_get_stream, mock_get_size, mock_upload, mock_convert\n    ):\n        \"\"\"remote_size == 0 → OfficeConversionException: cannot read remote file size.\"\"\"\n        mock_get_stream.return_value = self._make_stream(b'DOC data')\n        mock_get_size.return_value = 0\n        mock_upload.return_value = {'success': True}\n        mock_convert.return_value = '/tmp/test_cv/doc.pdf'\n        sys.modules['database.attachment_db'].file_exists = MagicMock(return_value=False)\n        with patch('builtins.open', MagicMock()):\n            with self.assertRaises(OfficeConversionException) as ctx:\n                asyncio.run(\n                    self.service.convert_office_to_pdf_impl(\n                        'uploads/doc.docx', 'converted/doc.pdf'\n                    )\n                )\n        self.assertIn('cannot read remote file size', str(ctx.exception))\n\n    @patch('backend.services.data_process_service.convert_office_to_pdf',\n           new_callable=AsyncMock)\n    @patch('backend.services.data_process_service.upload_file')\n    @patch('backend.services.data_process_service.get_file_size_from_minio')\n    @patch('backend.services.data_process_service.get_file_stream')\n    @patch('shutil.rmtree')\n    @patch('tempfile.mkdtemp', return_value='/tmp/test_cv')\n    @patch('os.path.exists', return_value=True)\n    def test_convert_office_to_pdf_impl_size_too_small(\n        self, _exists, _mkdtemp, mock_rmtree,\n        mock_get_stream, mock_get_size, mock_upload, mock_convert\n    ):\n        \"\"\"remote_size < 100 (but > 0) → OfficeConversionException: file too small.\"\"\"\n        mock_get_stream.return_value = self._make_stream(b'DOC data')\n        mock_get_size.return_value = 50\n        mock_upload.return_value = {'success': True}\n        mock_convert.return_value = '/tmp/test_cv/doc.pdf'\n        sys.modules['database.attachment_db'].file_exists = MagicMock(return_value=False)\n        with patch('builtins.open', MagicMock()):\n            with self.assertRaises(OfficeConversionException) as ctx:\n                asyncio.run(\n                    self.service.convert_office_to_pdf_impl(\n                        'uploads/doc.docx', 'converted/doc.pdf'\n                    )\n                )\n        self.assertIn('file too small', str(ctx.exception))\n\n    @patch('backend.services.data_process_service.convert_office_to_pdf',\n           new_callable=AsyncMock)\n    @patch('backend.services.data_process_service.upload_file')\n    @patch('backend.services.data_process_service.get_file_size_from_minio')\n    @patch('backend.services.data_process_service.get_file_stream')\n    @patch('shutil.rmtree')\n    @patch('tempfile.mkdtemp', return_value='/tmp/test_cv')\n    @patch('os.path.exists', return_value=True)\n    def test_convert_office_to_pdf_impl_stream_none(\n        self, _exists, _mkdtemp, mock_rmtree,\n        mock_get_stream, mock_get_size, mock_upload, mock_convert\n    ):\n        \"\"\"get_file_stream returns None for header check → OfficeConversionException.\"\"\"\n        mock_get_stream.side_effect = [\n            self._make_stream(b'DOC data'),  # Step 1: original file\n            None,                            # Step 4: header check stream\n        ]\n        mock_get_size.return_value = 208\n        mock_upload.return_value = {'success': True}\n        mock_convert.return_value = '/tmp/test_cv/doc.pdf'\n        sys.modules['database.attachment_db'].file_exists = MagicMock(return_value=False)\n        with patch('builtins.open', MagicMock()):\n            with self.assertRaises(OfficeConversionException) as ctx:\n                asyncio.run(\n                    self.service.convert_office_to_pdf_impl(\n                        'uploads/doc.docx', 'converted/doc.pdf'\n                    )\n                )\n        self.assertIn('cannot read uploaded file', str(ctx.exception))\n\n    @patch('backend.services.data_process_service.convert_office_to_pdf',\n           new_callable=AsyncMock)\n    @patch('backend.services.data_process_service.upload_file')\n    @patch('backend.services.data_process_service.get_file_size_from_minio')\n    @patch('backend.services.data_process_service.get_file_stream')\n    @patch('shutil.rmtree')\n    @patch('tempfile.mkdtemp', return_value='/tmp/test_cv')\n    @patch('os.path.exists', return_value=True)\n    def test_convert_office_to_pdf_impl_close_raises(\n        self, _exists, _mkdtemp, mock_rmtree,\n        mock_get_stream, mock_get_size, mock_upload, mock_convert\n    ):\n        \"\"\"stream.close() raises during header check → exception swallowed, pipeline succeeds.\"\"\"\n        header_stream = MagicMock()\n        header_stream.read.return_value = b'%PDF-1.4'\n        header_stream.close.side_effect = OSError('close failed')\n        mock_get_stream.side_effect = [\n            self._make_stream(b'DOC data'),  # Step 1: original file\n            header_stream,                   # Step 4: header check\n        ]\n        mock_get_size.return_value = 208\n        mock_upload.return_value = {'success': True}\n        mock_convert.return_value = '/tmp/test_cv/doc.pdf'\n        with patch('builtins.open', MagicMock()):\n            asyncio.run(\n                self.service.convert_office_to_pdf_impl(\n                    'uploads/doc.docx', 'converted/doc.pdf'\n                )\n            )\n        mock_convert.assert_called_once()\n\n    @patch('backend.services.data_process_service.convert_office_to_pdf',\n           new_callable=AsyncMock)\n    @patch('backend.services.data_process_service.upload_file')\n    @patch('backend.services.data_process_service.get_file_stream')\n    @patch('shutil.rmtree')\n    @patch('tempfile.mkdtemp', return_value='/tmp/test_cv')\n    @patch('os.path.exists', return_value=True)\n    def test_convert_office_to_pdf_impl_unexpected_exception(\n        self, _exists, _mkdtemp, mock_rmtree,\n        mock_get_stream, mock_upload, mock_convert\n    ):\n        \"\"\"Non-OfficeConversionException from upload_file → wrapped as OfficeConversionException.\"\"\"\n        mock_get_stream.return_value = self._make_stream(b'DOC data')\n        mock_convert.return_value = '/tmp/test_cv/doc.pdf'\n        mock_upload.side_effect = ConnectionError('storage unreachable')\n        with patch('builtins.open', MagicMock()):\n            with self.assertRaises(OfficeConversionException) as ctx:\n                asyncio.run(\n                    self.service.convert_office_to_pdf_impl(\n                        'uploads/doc.docx', 'converted/doc.pdf'\n                    )\n                )\n        self.assertIn('Unexpected error', str(ctx.exception))\n\n    @patch('backend.services.data_process_service.convert_office_to_pdf',\n           new_callable=AsyncMock)\n    @patch('backend.services.data_process_service.upload_file')\n    @patch('backend.services.data_process_service.get_file_size_from_minio')\n    @patch('backend.services.data_process_service.get_file_stream')\n    @patch('shutil.rmtree')\n    @patch('tempfile.mkdtemp', return_value='/tmp/test_cv')\n    @patch('os.path.exists', return_value=True)\n    def test_convert_office_to_pdf_impl_cleanup_failure(\n        self, _exists, _mkdtemp, mock_rmtree,\n        mock_get_stream, mock_get_size, mock_upload, mock_convert\n    ):\n        \"\"\"shutil.rmtree raises during cleanup → error is logged, not re-raised.\"\"\"\n        mock_get_stream.side_effect = [\n            self._make_stream(b'DOC data'),     # Step 1: original file\n            self._make_stream(b'%PDF-1.4 ok'),  # Step 4: header check\n        ]\n        mock_get_size.return_value = 208\n        mock_upload.return_value = {'success': True}\n        mock_convert.return_value = '/tmp/test_cv/doc.pdf'\n        mock_rmtree.side_effect = OSError('permission denied')\n        with patch('builtins.open', MagicMock()):\n            # Cleanup error must not propagate\n            asyncio.run(\n                self.service.convert_office_to_pdf_impl(\n                    'uploads/doc.docx', 'converted/doc.pdf'\n                )\n            )\n\n\nif __name__ == '__main__':\n    unittest.main()\n"
  },
  {
    "path": "test/backend/services/test_datamate_service.py",
    "content": "import sys\nimport pytest\nfrom unittest.mock import MagicMock\n\n# Import the exception class\nfrom consts.exceptions import DataMateConnectionError\n\n# Setup common mocks\nfrom test.common.test_mocks import setup_common_mocks, patch_minio_client_initialization\n\n# Initialize common mocks\nmocks = setup_common_mocks()\n\n# Mock the specific database modules that datamate_service imports\nknowledge_db_mock = MagicMock()\nknowledge_db_mock.upsert_knowledge_record = MagicMock()\nknowledge_db_mock.get_knowledge_info_by_tenant_and_source = MagicMock()\nknowledge_db_mock.delete_knowledge_record = MagicMock()\n\n# Mock database client and models\ndatabase_client_mock = MagicMock()\ndatabase_client_mock.get_db_session = MagicMock()\n\ndatabase_models_mock = MagicMock()\ndatabase_models_mock.TenantConfig = MagicMock()\n\n# Mock database functions\ntenant_config_db_mock = MagicMock()\ntenant_config_db_mock.get_all_configs_by_tenant_id = MagicMock()\ntenant_config_db_mock.get_single_config_info = MagicMock()\ntenant_config_db_mock.insert_config = MagicMock()\ntenant_config_db_mock.delete_config_by_tenant_config_id = MagicMock()\ntenant_config_db_mock.update_config_by_tenant_config_id_and_data = MagicMock()\n\nmodel_management_db_mock = MagicMock()\nmodel_management_db_mock.get_model_by_model_id = MagicMock()\n\n# Mock the nexent modules\ndatamate_core_mock = MagicMock()\n\n# Mock consts\nconsts_mock = MagicMock()\nconsts_mock.DATAMATE_URL = \"DATAMATE_URL\"\n\n# Mock consts.exceptions\nconsts_exceptions_mock = MagicMock()\nconsts_exceptions_mock.DataMateConnectionError = DataMateConnectionError\n\n# Mock sqlalchemy\nsqlalchemy_mock = MagicMock()\nsqlalchemy_exc_mock = MagicMock()\nsqlalchemy_exc_mock.SQLAlchemyError = Exception\nsqlalchemy_sql_mock = MagicMock()\nsqlalchemy_sql_mock.func = MagicMock()\n\nsqlalchemy_mock.exc = sqlalchemy_exc_mock\nsqlalchemy_mock.sql = sqlalchemy_sql_mock\n\n# Set up sys.modules mocks\nsys.modules['database.knowledge_db'] = knowledge_db_mock\nsys.modules['database.client'] = database_client_mock\nsys.modules['database.db_models'] = database_models_mock\nsys.modules['database.tenant_config_db'] = tenant_config_db_mock\nsys.modules['database.model_management_db'] = model_management_db_mock\nsys.modules['nexent.vector_database.datamate_core'] = datamate_core_mock\nsys.modules['consts.const'] = consts_mock\nsys.modules['consts.exceptions'] = consts_exceptions_mock\nsys.modules['sqlalchemy'] = sqlalchemy_mock\nsys.modules['sqlalchemy.exc'] = sqlalchemy_exc_mock\nsys.modules['sqlalchemy.sql'] = sqlalchemy_sql_mock\n\n# Patch storage factory before importing the module under test\nwith patch_minio_client_initialization():\n    from backend.services.datamate_service import (\n        fetch_datamate_knowledge_base_file_list,\n        sync_datamate_knowledge_bases_and_create_records,\n        _get_datamate_core,\n        _create_datamate_knowledge_records,\n        check_datamate_connection\n    )\n\n\n@pytest.fixture\ndef mock_datamate_sync_setup(monkeypatch):\n    \"\"\"Fixture to set up common mocks for DataMate sync tests.\"\"\"\n    # Mock MODEL_ENGINE_ENABLED\n    monkeypatch.setattr(\n        \"backend.services.datamate_service.MODEL_ENGINE_ENABLED\", \"true\"\n    )\n\n    # Mock tenant_config_manager to return a valid DataMate URL\n    mock_config_manager = MagicMock()\n    mock_config_manager.get_app_config.return_value = \"http://datamate.example.com\"\n    monkeypatch.setattr(\n        \"backend.services.datamate_service.tenant_config_manager\", mock_config_manager\n    )\n\n    return mock_config_manager\n\n\nclass FakeClient:\n    def __init__(self, base_url=None):\n        self.base_url = base_url\n\n    def list_knowledge_bases(self):\n        return [{\"id\": \"kb1\", \"name\": \"KB1\"}]\n\n    def get_knowledge_base_files(self, knowledge_base_id):\n        return [{\"name\": \"file1\", \"size\": 123, \"knowledge_base_id\": knowledge_base_id}]\n\n    def sync_all_knowledge_bases(self):\n        return {\"success\": True, \"knowledge_bases\": [{\"id\": \"kb1\"}], \"total_count\": 1}\n\n\ndef test_get_datamate_core_success(monkeypatch):\n    \"\"\"Test _get_datamate_core function with valid configuration.\"\"\"\n    # Mock DATAMATE_URL constant in the service module\n    monkeypatch.setattr(\n        \"backend.services.datamate_service.DATAMATE_URL\", \"DATAMATE_URL\"\n    )\n\n    # Mock tenant_config_manager\n    mock_config_manager = MagicMock()\n    mock_config_manager.get_app_config.return_value = \"http://datamate.example.com\"\n\n    # Mock DataMateCore\n    mock_datamate_core = MagicMock()\n    datamate_core_class = MagicMock(return_value=mock_datamate_core)\n\n    monkeypatch.setattr(\n        \"backend.services.datamate_service.tenant_config_manager\", mock_config_manager)\n    monkeypatch.setattr(\n        \"backend.services.datamate_service.DataMateCore\", datamate_core_class)\n\n    result = _get_datamate_core(\"tenant1\")\n\n    assert result == mock_datamate_core\n    mock_config_manager.get_app_config.assert_called_once_with(\n        \"DATAMATE_URL\", tenant_id=\"tenant1\")\n    datamate_core_class.assert_called_once_with(\n        base_url=\"http://datamate.example.com\", verify_ssl=True)\n\n\ndef test_get_datamate_core_https_ssl_verification(monkeypatch):\n    \"\"\"Test _get_datamate_core function with HTTPS URL disables SSL verification.\"\"\"\n    # Mock DATAMATE_URL constant in the service module\n    monkeypatch.setattr(\n        \"backend.services.datamate_service.DATAMATE_URL\", \"DATAMATE_URL\"\n    )\n\n    # Mock tenant_config_manager\n    mock_config_manager = MagicMock()\n    mock_config_manager.get_app_config.return_value = \"https://datamate.example.com\"\n\n    # Mock DataMateCore\n    mock_datamate_core = MagicMock()\n    datamate_core_class = MagicMock(return_value=mock_datamate_core)\n\n    monkeypatch.setattr(\n        \"backend.services.datamate_service.tenant_config_manager\", mock_config_manager)\n    monkeypatch.setattr(\n        \"backend.services.datamate_service.DataMateCore\", datamate_core_class)\n\n    result = _get_datamate_core(\"tenant1\")\n\n    assert result == mock_datamate_core\n    mock_config_manager.get_app_config.assert_called_once_with(\n        \"DATAMATE_URL\", tenant_id=\"tenant1\")\n    datamate_core_class.assert_called_once_with(\n        base_url=\"https://datamate.example.com\", verify_ssl=False)\n\n\ndef test_get_datamate_core_http_ssl_verification(monkeypatch):\n    \"\"\"Test _get_datamate_core function with HTTP URL enables SSL verification.\"\"\"\n    # Mock DATAMATE_URL constant in the service module\n    monkeypatch.setattr(\n        \"backend.services.datamate_service.DATAMATE_URL\", \"DATAMATE_URL\"\n    )\n\n    # Mock tenant_config_manager\n    mock_config_manager = MagicMock()\n    mock_config_manager.get_app_config.return_value = \"http://datamate.example.com\"\n\n    # Mock DataMateCore\n    mock_datamate_core = MagicMock()\n    datamate_core_class = MagicMock(return_value=mock_datamate_core)\n\n    monkeypatch.setattr(\n        \"backend.services.datamate_service.tenant_config_manager\", mock_config_manager)\n    monkeypatch.setattr(\n        \"backend.services.datamate_service.DataMateCore\", datamate_core_class)\n\n    result = _get_datamate_core(\"tenant1\")\n\n    assert result == mock_datamate_core\n    mock_config_manager.get_app_config.assert_called_once_with(\n        \"DATAMATE_URL\", tenant_id=\"tenant1\")\n    datamate_core_class.assert_called_once_with(\n        base_url=\"http://datamate.example.com\", verify_ssl=True)\n\n\ndef test_get_datamate_core_missing_config(monkeypatch):\n    \"\"\"Test _get_datamate_core function with missing configuration.\"\"\"\n    # Mock DATAMATE_URL constant in the service module\n    monkeypatch.setattr(\n        \"backend.services.datamate_service.DATAMATE_URL\", \"DATAMATE_URL\"\n    )\n\n    # Mock tenant_config_manager to return None\n    mock_config_manager = MagicMock()\n    mock_config_manager.get_app_config.return_value = None\n\n    monkeypatch.setattr(\n        \"backend.services.datamate_service.tenant_config_manager\", mock_config_manager)\n\n    with pytest.raises(ValueError) as excinfo:\n        _get_datamate_core(\"tenant1\")\n\n    assert \"DataMate URL not configured for tenant tenant1\" in str(\n        excinfo.value)\n    mock_config_manager.get_app_config.assert_called_once_with(\n        \"DATAMATE_URL\", tenant_id=\"tenant1\")\n\n\n@pytest.mark.asyncio\nasync def test_fetch_datamate_knowledge_base_file_list_success(monkeypatch):\n    \"\"\"Test fetch_datamate_knowledge_base_file_list function with successful response.\"\"\"\n    # Mock the _get_datamate_core function\n    fake_core = MagicMock()\n    fake_core.get_documents_detail.return_value = [\n        {\"name\": \"doc1.pdf\", \"size\": 1234, \"upload_date\": \"2023-01-01\"},\n        {\"name\": \"doc2.txt\", \"size\": 5678, \"upload_date\": \"2023-01-02\"}\n    ]\n\n    monkeypatch.setattr(\n        \"backend.services.datamate_service._get_datamate_core\", lambda tenant_id: fake_core)\n\n    result = await fetch_datamate_knowledge_base_file_list(\"kb1\", \"tenant1\")\n\n    expected_result = {\n        \"status\": \"success\",\n        \"files\": [\n            {\"name\": \"doc1.pdf\", \"size\": 1234, \"upload_date\": \"2023-01-01\"},\n            {\"name\": \"doc2.txt\", \"size\": 5678, \"upload_date\": \"2023-01-02\"}\n        ]\n    }\n\n    assert result == expected_result\n    fake_core.get_documents_detail.assert_called_once_with(\"kb1\")\n\n\n@pytest.mark.asyncio\nasync def test_fetch_datamate_knowledge_base_file_list_failure(monkeypatch):\n    \"\"\"Test fetch_datamate_knowledge_base_file_list function with error.\"\"\"\n    # Mock the _get_datamate_core function\n    fake_core = MagicMock()\n    fake_core.get_documents_detail.side_effect = Exception(\"API error\")\n\n    monkeypatch.setattr(\n        \"backend.services.datamate_service._get_datamate_core\", lambda tenant_id: fake_core)\n\n    with pytest.raises(RuntimeError) as excinfo:\n        await fetch_datamate_knowledge_base_file_list(\"kb1\", \"tenant1\")\n\n    assert \"Failed to fetch file list for knowledge base kb1\" in str(\n        excinfo.value)\n    fake_core.get_documents_detail.assert_called_once_with(\"kb1\")\n\n\n@pytest.mark.asyncio\nasync def test_create_datamate_knowledge_records_success(monkeypatch):\n    \"\"\"Test _create_datamate_knowledge_records function with successful record creation.\"\"\"\n    # Reset mock state from previous tests\n    knowledge_db_mock.upsert_knowledge_record.side_effect = None\n    knowledge_db_mock.upsert_knowledge_record.reset_mock()\n\n    # Mock upsert_knowledge_record\n    mock_created_record = {\"id\": \"record1\", \"index_name\": \"kb1\"}\n    knowledge_db_mock.upsert_knowledge_record.return_value = mock_created_record\n\n    result = await _create_datamate_knowledge_records(\n        knowledge_base_ids=[\"kb1\", \"kb2\"],\n        knowledge_base_names=[\"Knowledge Base 1\", \"Knowledge Base 2\"],\n        embedding_model_names=[\"embedding1\", \"embedding2\"],\n        tenant_id=\"tenant1\",\n        user_id=\"user1\"\n    )\n\n    assert len(result) == 2\n    assert result[0] == mock_created_record\n    assert result[1] == mock_created_record\n\n    # Verify upsert_knowledge_record was called twice\n    assert knowledge_db_mock.upsert_knowledge_record.call_count == 2\n\n    # Check the call arguments for first record\n    first_call_args = knowledge_db_mock.upsert_knowledge_record.call_args_list[0][0][0]\n    assert first_call_args[\"index_name\"] == \"kb1\"\n    assert first_call_args[\"knowledge_name\"] == \"Knowledge Base 1\"\n    assert first_call_args[\"tenant_id\"] == \"tenant1\"\n    assert first_call_args[\"user_id\"] == \"user1\"\n    assert first_call_args[\"embedding_model_name\"] == \"embedding1\"\n\n\n@pytest.mark.asyncio\nasync def test_create_datamate_knowledge_records_partial_failure(monkeypatch):\n    \"\"\"Test _create_datamate_knowledge_records function with partial failure.\"\"\"\n    # Reset mock state from previous tests\n    knowledge_db_mock.upsert_knowledge_record.reset_mock()\n\n    # Mock upsert_knowledge_record to fail on second call\n    knowledge_db_mock.upsert_knowledge_record.side_effect = [\n        {\"id\": \"record1\", \"index_name\": \"kb1\"},  # First call succeeds\n        Exception(\"Database error\")  # Second call fails\n    ]\n\n    result = await _create_datamate_knowledge_records(\n        knowledge_base_ids=[\"kb1\", \"kb2\"],\n        knowledge_base_names=[\"Knowledge Base 1\", \"Knowledge Base 2\"],\n        embedding_model_names=[\"embedding1\", \"embedding2\"],\n        tenant_id=\"tenant1\",\n        user_id=\"user1\"\n    )\n\n    # Should only return the successful record\n    assert len(result) == 1\n    assert result[0][\"id\"] == \"record1\"\n\n    # Verify upsert_knowledge_record was called twice (second failed but didn't crash)\n    assert knowledge_db_mock.upsert_knowledge_record.call_count == 2\n\n\n@pytest.mark.asyncio\nasync def test_sync_datamate_knowledge_bases_success(monkeypatch, mock_datamate_sync_setup):\n    \"\"\"Test sync_datamate_knowledge_bases_and_create_records with successful sync.\"\"\"\n    # Reset mock state from previous tests\n    knowledge_db_mock.get_knowledge_info_by_tenant_and_source.reset_mock()\n    knowledge_db_mock.upsert_knowledge_record.reset_mock()\n    knowledge_db_mock.delete_knowledge_record.reset_mock()\n\n    # Mock the _get_datamate_core function - now accepts two parameters\n    fake_core = MagicMock()\n\n    # Mock core methods\n    fake_core.get_user_indices.return_value = [\"kb1\", \"kb2\"]\n    fake_core.get_indices_detail.return_value = (\n        {\n            \"kb1\": {\"base_info\": {\"embedding_model\": \"embedding1\"}},\n            \"kb2\": {\"base_info\": {\"embedding_model\": \"embedding2\"}}\n        },\n        [\"Knowledge Base 1\", \"Knowledge Base 2\"]\n    )\n\n    monkeypatch.setattr(\n        \"backend.services.datamate_service._get_datamate_core\",\n        lambda tenant_id, datamate_url=None: fake_core)\n\n    # Mock database functions that are imported directly\n    monkeypatch.setattr(\n        \"backend.services.datamate_service.get_knowledge_info_by_tenant_and_source\",\n        MagicMock(return_value=[])\n    )\n    monkeypatch.setattr(\n        \"backend.services.datamate_service.delete_knowledge_record\",\n        MagicMock(return_value=True)\n    )\n\n    # Mock _create_datamate_knowledge_records to return a coroutine\n    async def mock_create_records(*args, **kwargs):\n        return [{\"id\": \"record1\"}, {\"id\": \"record2\"}]\n\n    monkeypatch.setattr(\n        \"backend.services.datamate_service._create_datamate_knowledge_records\",\n        mock_create_records\n    )\n\n    result = await sync_datamate_knowledge_bases_and_create_records(\"tenant1\", \"user1\")\n\n    assert result[\"indices\"] == [\"Knowledge Base 1\", \"Knowledge Base 2\"]\n    assert result[\"count\"] == 2\n    assert \"indices_info\" in result\n    assert len(result[\"indices_info\"]) == 2\n\n    fake_core.get_user_indices.assert_called_once()\n    fake_core.get_indices_detail.assert_called_once_with([\"kb1\", \"kb2\"])\n\n\n@pytest.mark.asyncio\nasync def test_sync_datamate_knowledge_bases_no_indices(monkeypatch, mock_datamate_sync_setup):\n    \"\"\"Test sync_datamate_knowledge_bases_and_create_records when no knowledge bases exist.\"\"\"\n    # Reset mock state from previous tests\n    knowledge_db_mock.get_knowledge_info_by_tenant_and_source.reset_mock()\n    knowledge_db_mock.upsert_knowledge_record.reset_mock()\n    knowledge_db_mock.delete_knowledge_record.reset_mock()\n\n    # Mock the _get_datamate_core function - now accepts two parameters\n    fake_core = MagicMock()\n    fake_core.get_user_indices.return_value = []  # No indices\n\n    monkeypatch.setattr(\n        \"backend.services.datamate_service._get_datamate_core\",\n        lambda tenant_id, datamate_url=None: fake_core)\n\n    result = await sync_datamate_knowledge_bases_and_create_records(\"tenant1\", \"user1\")\n\n    assert result[\"indices\"] == []\n    assert result[\"count\"] == 0\n    assert \"indices_info\" not in result  # Should not be present when no indices\n\n    fake_core.get_user_indices.assert_called_once()\n    # get_indices_detail should not be called when no indices\n    fake_core.get_indices_detail.assert_not_called()\n\n\n@pytest.mark.asyncio\nasync def test_sync_datamate_knowledge_bases_with_deletions(monkeypatch, mock_datamate_sync_setup):\n    \"\"\"Test sync_datamate_knowledge_bases_and_create_records with soft deletions.\"\"\"\n    # Reset mock state from previous tests\n    knowledge_db_mock.get_knowledge_info_by_tenant_and_source.reset_mock()\n    knowledge_db_mock.upsert_knowledge_record.reset_mock()\n    knowledge_db_mock.delete_knowledge_record.reset_mock()\n\n    # Mock the _get_datamate_core function - now accepts two parameters\n    fake_core = MagicMock()\n\n    # Mock core methods - only kb1 exists in API now\n    fake_core.get_user_indices.return_value = [\"kb1\"]\n    fake_core.get_indices_detail.return_value = (\n        {\"kb1\": {\"base_info\": {\"embedding_model\": \"embedding1\"}}},\n        [\"Knowledge Base 1\"]\n    )\n\n    monkeypatch.setattr(\n        \"backend.services.datamate_service._get_datamate_core\",\n        lambda tenant_id, datamate_url=None: fake_core)\n\n    # Mock database functions that are imported directly - kb1 and kb2 exist in DB, but kb2 was deleted from API\n    mock_get_knowledge_info = MagicMock(return_value=[\n        {\"index_name\": \"kb1\"},\n        {\"index_name\": \"kb2\"}  # This should be deleted\n    ])\n    mock_delete_record = MagicMock(return_value=True)\n\n    monkeypatch.setattr(\n        \"backend.services.datamate_service.get_knowledge_info_by_tenant_and_source\",\n        mock_get_knowledge_info\n    )\n    monkeypatch.setattr(\n        \"backend.services.datamate_service.delete_knowledge_record\",\n        mock_delete_record\n    )\n\n    # Mock _create_datamate_knowledge_records to return a coroutine\n    async def mock_create_records(*args, **kwargs):\n        return [{\"id\": \"record1\"}]\n\n    monkeypatch.setattr(\n        \"backend.services.datamate_service._create_datamate_knowledge_records\",\n        mock_create_records\n    )\n\n    result = await sync_datamate_knowledge_bases_and_create_records(\"tenant1\", \"user1\")\n\n    # kb2 should be deleted\n    mock_delete_record.assert_called_once_with({\n        \"index_name\": \"kb2\",\n        \"user_id\": \"user1\"\n    })\n\n\n@pytest.mark.asyncio\nasync def test_sync_datamate_knowledge_bases_datamate_url_not_configured(monkeypatch):\n    \"\"\"Test sync_datamate_knowledge_bases_and_create_records when DataMate URL is not configured.\"\"\"\n    # Mock MODEL_ENGINE_ENABLED to be true\n    monkeypatch.setattr(\n        \"backend.services.datamate_service.MODEL_ENGINE_ENABLED\", \"true\"\n    )\n\n    # Mock tenant_config_manager to return None (no DataMate URL configured)\n    mock_config_manager = MagicMock()\n    mock_config_manager.get_app_config.return_value = None\n    monkeypatch.setattr(\n        \"backend.services.datamate_service.tenant_config_manager\", mock_config_manager\n    )\n\n    # Mock logger to capture warning message\n    mock_logger = MagicMock()\n    monkeypatch.setattr(\n        \"backend.services.datamate_service.logger\", mock_logger\n    )\n\n    # Execute - should return empty result when DataMate URL is not configured\n    result = await sync_datamate_knowledge_bases_and_create_records(\"tenant1\", \"user1\")\n\n    # Assert - should return empty dict\n    assert result == {\n        \"indices\": [],\n        \"count\": 0,\n        \"indices_info\": [],\n        \"created_records\": []\n    }\n\n    # Verify the warning was logged\n    mock_logger.warning.assert_called_once_with(\n        \"DataMate URL not configured for tenant tenant1, skipping sync\"\n    )\n\n\n@pytest.mark.asyncio\nasync def test_sync_datamate_knowledge_bases_datamate_url_empty_string(monkeypatch):\n    \"\"\"Test sync_datamate_knowledge_bases_and_create_records when DataMate URL is empty string.\"\"\"\n    # Mock MODEL_ENGINE_ENABLED to be true\n    monkeypatch.setattr(\n        \"backend.services.datamate_service.MODEL_ENGINE_ENABLED\", \"true\"\n    )\n\n    # Mock tenant_config_manager to return empty string\n    mock_config_manager = MagicMock()\n    mock_config_manager.get_app_config.return_value = \"\"\n    monkeypatch.setattr(\n        \"backend.services.datamate_service.tenant_config_manager\", mock_config_manager\n    )\n\n    # Mock logger to capture warning message\n    mock_logger = MagicMock()\n    monkeypatch.setattr(\n        \"backend.services.datamate_service.logger\", mock_logger\n    )\n\n    # Execute - should return empty result when DataMate URL is empty string\n    result = await sync_datamate_knowledge_bases_and_create_records(\"tenant1\", \"user1\")\n\n    # Assert - should return empty dict\n    assert result == {\n        \"indices\": [],\n        \"count\": 0,\n        \"indices_info\": [],\n        \"created_records\": []\n    }\n\n    # Verify the warning was logged\n    mock_logger.warning.assert_called_once()\n\n\n@pytest.mark.asyncio\nasync def test_sync_datamate_knowledge_bases_error_handling(monkeypatch):\n    \"\"\"Test sync_datamate_knowledge_bases_and_create_records with error handling.\"\"\"\n    # Mock the _get_datamate_core function to raise an exception\n    monkeypatch.setattr(\n        \"backend.services.datamate_service._get_datamate_core\",\n        MagicMock(side_effect=Exception(\"API connection failed\"))\n    )\n\n    result = await sync_datamate_knowledge_bases_and_create_records(\"tenant1\", \"user1\")\n\n    # Should return empty result on error\n    assert result[\"indices\"] == []\n    assert result[\"count\"] == 0\n\n\n@pytest.mark.asyncio\nasync def test_sync_datamate_knowledge_bases_with_custom_datamate_url(monkeypatch, mock_datamate_sync_setup):\n    \"\"\"Test sync_datamate_knowledge_bases_and_create_records with custom datamate_url from request.\"\"\"\n    # Reset mock state from previous tests\n    knowledge_db_mock.get_knowledge_info_by_tenant_and_source.reset_mock()\n    knowledge_db_mock.upsert_knowledge_record.reset_mock()\n    knowledge_db_mock.delete_knowledge_record.reset_mock()\n\n    # Custom datamate URL provided in request - should be used directly\n    custom_datamate_url = \"http://custom-datamate.example.com:8080\"\n\n    # Mock the _get_datamate_core function\n    fake_core = MagicMock()\n\n    # Mock core methods\n    fake_core.get_user_indices.return_value = [\"kb1\"]\n    fake_core.get_indices_detail.return_value = (\n        {\"kb1\": {\"base_info\": {\"embedding_model\": \"embedding1\"}}},\n        [\"Custom Knowledge Base\"]\n    )\n\n    # Track the URL passed to _get_datamate_core\n    core_calls = []\n\n    def create_core_with_custom_url(tenant_id, datamate_url=None):\n        core_calls.append({\"tenant_id\": tenant_id, \"datamate_url\": datamate_url})\n        return fake_core\n\n    monkeypatch.setattr(\n        \"backend.services.datamate_service._get_datamate_core\",\n        create_core_with_custom_url\n    )\n\n    # Mock database functions that are imported directly\n    monkeypatch.setattr(\n        \"backend.services.datamate_service.get_knowledge_info_by_tenant_and_source\",\n        MagicMock(return_value=[])\n    )\n    monkeypatch.setattr(\n        \"backend.services.datamate_service.delete_knowledge_record\",\n        MagicMock(return_value=True)\n    )\n\n    # Mock _create_datamate_knowledge_records\n    async def mock_create_records(*args, **kwargs):\n        return [{\"id\": \"record1\"}]\n\n    monkeypatch.setattr(\n        \"backend.services.datamate_service._create_datamate_knowledge_records\",\n        mock_create_records\n    )\n\n    # Call with custom datamate_url - should use this URL directly\n    result = await sync_datamate_knowledge_bases_and_create_records(\n        \"tenant1\", \"user1\", datamate_url=custom_datamate_url\n    )\n\n    assert result[\"indices\"] == [\"Custom Knowledge Base\"]\n    assert result[\"count\"] == 1\n    assert \"indices_info\" in result\n    assert len(result[\"indices_info\"]) == 1\n\n    # Verify _get_datamate_core was called with the custom URL\n    assert len(core_calls) == 1\n    assert core_calls[0][\"datamate_url\"] == custom_datamate_url\n\n\n@pytest.mark.asyncio\nasync def test_sync_datamate_knowledge_bases_with_none_datamate_url(monkeypatch):\n    \"\"\"Test sync_datamate_knowledge_bases_and_create_records with None datamate_url falls back to tenant config.\"\"\"\n    # Mock MODEL_ENGINE_ENABLED to be true\n    monkeypatch.setattr(\n        \"backend.services.datamate_service.MODEL_ENGINE_ENABLED\", \"true\"\n    )\n\n    # Mock tenant_config_manager to return a configured URL\n    mock_config_manager = MagicMock()\n    mock_config_manager.get_app_config.return_value = \"http://tenant-configured.example.com\"\n    monkeypatch.setattr(\n        \"backend.services.datamate_service.tenant_config_manager\", mock_config_manager\n    )\n\n    # Mock the _get_datamate_core function\n    fake_core = MagicMock()\n    fake_core.get_user_indices.return_value = [\"kb1\"]\n    fake_core.get_indices_detail.return_value = (\n        {\"kb1\": {\"base_info\": {\"embedding_model\": \"embedding1\"}}},\n        [\"Config Based Knowledge Base\"]\n    )\n\n    # Track calls to _get_datamate_core\n    core_calls = []\n\n    def create_core_tracking_call(tenant_id, datamate_url=None):\n        core_calls.append({\"tenant_id\": tenant_id, \"datamate_url\": datamate_url})\n        return fake_core\n\n    monkeypatch.setattr(\n        \"backend.services.datamate_service._get_datamate_core\",\n        create_core_tracking_call\n    )\n\n    # Mock database functions\n    monkeypatch.setattr(\n        \"backend.services.datamate_service.get_knowledge_info_by_tenant_and_source\",\n        MagicMock(return_value=[])\n    )\n    monkeypatch.setattr(\n        \"backend.services.datamate_service.delete_knowledge_record\",\n        MagicMock(return_value=True)\n    )\n\n    # Mock _create_datamate_knowledge_records\n    async def mock_create_records(*args, **kwargs):\n        return [{\"id\": \"record1\"}]\n\n    monkeypatch.setattr(\n        \"backend.services.datamate_service._create_datamate_knowledge_records\",\n        mock_create_records\n    )\n\n    # Call with None datamate_url - should fall back to tenant config\n    result = await sync_datamate_knowledge_bases_and_create_records(\n        \"tenant1\", \"user1\", datamate_url=None\n    )\n\n    assert result[\"indices\"] == [\"Config Based Knowledge Base\"]\n    assert result[\"count\"] == 1\n\n    # Verify _get_datamate_core was called with the URL from tenant config (not None)\n    assert len(core_calls) == 1\n    assert core_calls[0][\"datamate_url\"] == \"http://tenant-configured.example.com\"\n\n\n@pytest.mark.asyncio\nasync def test_sync_datamate_knowledge_bases_with_empty_datamate_url(monkeypatch):\n    \"\"\"Test sync_datamate_knowledge_bases_and_create_records with empty string datamate_url falls back to tenant config.\"\"\"\n    # Mock MODEL_ENGINE_ENABLED to be true\n    monkeypatch.setattr(\n        \"backend.services.datamate_service.MODEL_ENGINE_ENABLED\", \"true\"\n    )\n\n    # Mock tenant_config_manager to return a configured URL\n    mock_config_manager = MagicMock()\n    mock_config_manager.get_app_config.return_value = \"http://fallback-url.example.com\"\n    monkeypatch.setattr(\n        \"backend.services.datamate_service.tenant_config_manager\", mock_config_manager\n    )\n\n    # Mock the _get_datamate_core function\n    fake_core = MagicMock()\n    fake_core.get_user_indices.return_value = [\"kb1\"]\n    fake_core.get_indices_detail.return_value = (\n        {\"kb1\": {\"base_info\": {\"embedding_model\": \"embedding1\"}}},\n        [\"Fallback Knowledge Base\"]\n    )\n\n    # Track calls to _get_datamate_core\n    core_calls = []\n\n    def create_core_tracking_call(tenant_id, datamate_url=None):\n        core_calls.append({\"tenant_id\": tenant_id, \"datamate_url\": datamate_url})\n        return fake_core\n\n    monkeypatch.setattr(\n        \"backend.services.datamate_service._get_datamate_core\",\n        create_core_tracking_call\n    )\n\n    # Mock database functions\n    monkeypatch.setattr(\n        \"backend.services.datamate_service.get_knowledge_info_by_tenant_and_source\",\n        MagicMock(return_value=[])\n    )\n    monkeypatch.setattr(\n        \"backend.services.datamate_service.delete_knowledge_record\",\n        MagicMock(return_value=True)\n    )\n\n    # Mock _create_datamate_knowledge_records\n    async def mock_create_records(*args, **kwargs):\n        return [{\"id\": \"record1\"}]\n\n    monkeypatch.setattr(\n        \"backend.services.datamate_service._create_datamate_knowledge_records\",\n        mock_create_records\n    )\n\n    # Call with empty string datamate_url - empty string is falsy, should fall back to tenant config\n    result = await sync_datamate_knowledge_bases_and_create_records(\n        \"tenant1\", \"user1\", datamate_url=\"\"\n    )\n\n    assert result[\"indices\"] == [\"Fallback Knowledge Base\"]\n    assert result[\"count\"] == 1\n\n    # Verify _get_datamate_core was called with the URL from tenant config (not empty string)\n    assert len(core_calls) == 1\n    assert core_calls[0][\"datamate_url\"] == \"http://fallback-url.example.com\"\n\n\n@pytest.mark.asyncio\nasync def test_sync_datamate_knowledge_bases_with_https_datamate_url(monkeypatch):\n    \"\"\"Test sync_datamate_knowledge_bases_and_create_records with HTTPS datamate_url.\"\"\"\n    # Mock MODEL_ENGINE_ENABLED to be true\n    monkeypatch.setattr(\n        \"backend.services.datamate_service.MODEL_ENGINE_ENABLED\", \"true\"\n    )\n\n    # Custom HTTPS URL - SSL should be disabled for DataMateCore\n    https_datamate_url = \"https://secure-datamate.example.com\"\n\n    # Mock the _get_datamate_core function - track if SSL verification is disabled\n    fake_core = MagicMock()\n    fake_core.get_user_indices.return_value = [\"kb1\"]\n    fake_core.get_indices_detail.return_value = (\n        {\"kb1\": {\"base_info\": {\"embedding_model\": \"embedding1\"}}},\n        [\"HTTPS Knowledge Base\"]\n    )\n\n    # Track calls to _get_datamate_core\n    core_calls = []\n\n    def create_core_tracking_call(tenant_id, datamate_url=None):\n        core_calls.append({\"tenant_id\": tenant_id, \"datamate_url\": datamate_url})\n        return fake_core\n\n    monkeypatch.setattr(\n        \"backend.services.datamate_service._get_datamate_core\",\n        create_core_tracking_call\n    )\n\n    # Mock database functions\n    monkeypatch.setattr(\n        \"backend.services.datamate_service.get_knowledge_info_by_tenant_and_source\",\n        MagicMock(return_value=[])\n    )\n    monkeypatch.setattr(\n        \"backend.services.datamate_service.delete_knowledge_record\",\n        MagicMock(return_value=True)\n    )\n\n    # Mock _create_datamate_knowledge_records\n    async def mock_create_records(*args, **kwargs):\n        return [{\"id\": \"record1\"}]\n\n    monkeypatch.setattr(\n        \"backend.services.datamate_service._create_datamate_knowledge_records\",\n        mock_create_records\n    )\n\n    # Call with HTTPS datamate_url\n    result = await sync_datamate_knowledge_bases_and_create_records(\n        \"tenant1\", \"user1\", datamate_url=https_datamate_url\n    )\n\n    assert result[\"indices\"] == [\"HTTPS Knowledge Base\"]\n    assert result[\"count\"] == 1\n    # Verify _get_datamate_core was called with the HTTPS URL\n    assert len(core_calls) == 1\n    assert core_calls[0][\"datamate_url\"] == https_datamate_url\n\n\n@pytest.mark.asyncio\nasync def test_check_datamate_connection_success(monkeypatch):\n    \"\"\"Test check_datamate_connection function with successful connection.\"\"\"\n    # Mock MODEL_ENGINE_ENABLED to be true\n    monkeypatch.setattr(\n        \"backend.services.datamate_service.MODEL_ENGINE_ENABLED\", \"true\"\n    )\n\n    # Mock tenant_config_manager to return a configured URL\n    mock_config_manager = MagicMock()\n    mock_config_manager.get_app_config.return_value = \"http://datamate.example.com\"\n    monkeypatch.setattr(\n        \"backend.services.datamate_service.tenant_config_manager\", mock_config_manager\n    )\n\n    # Mock the _get_datamate_core function\n    fake_core = MagicMock()\n    fake_core.get_user_indices.return_value = [\"kb1\", \"kb2\"]\n\n    monkeypatch.setattr(\n        \"backend.services.datamate_service._get_datamate_core\",\n        lambda tenant_id, datamate_url=None: fake_core\n    )\n\n    # Mock logger to verify success logging\n    mock_logger = MagicMock()\n    monkeypatch.setattr(\n        \"backend.services.datamate_service.logger\", mock_logger\n    )\n\n    # Execute\n    is_connected, error_message = await check_datamate_connection(\"tenant1\")\n\n    # Assert\n    assert is_connected is True\n    assert error_message == \"\"\n    mock_logger.info.assert_called()\n\n    # Verify the last log call contains success message\n    last_log_call = mock_logger.info.call_args_list[-1][0][0]\n    assert \"successful\" in last_log_call.lower()\n\n\n@pytest.mark.asyncio\nasync def test_check_datamate_connection_model_engine_disabled(monkeypatch):\n    \"\"\"Test check_datamate_connection function when MODEL_ENGINE_ENABLED is false.\"\"\"\n    # Mock MODEL_ENGINE_ENABLED to be false\n    monkeypatch.setattr(\n        \"backend.services.datamate_service.MODEL_ENGINE_ENABLED\", \"false\"\n    )\n\n    # Mock logger to capture info message\n    mock_logger = MagicMock()\n    monkeypatch.setattr(\n        \"backend.services.datamate_service.logger\", mock_logger\n    )\n\n    # Execute\n    is_connected, error_message = await check_datamate_connection(\"tenant1\")\n\n    # Assert\n    assert is_connected is False\n    assert error_message == \"ModelEngine is disabled\"\n\n    # Verify logger was called with the skip message\n    mock_logger.info.assert_called_once()\n    call_args = mock_logger.info.call_args[0][0]\n    assert \"ModelEngine is disabled\" in call_args\n    assert \"skipping DataMate connection test\" in call_args\n\n\n@pytest.mark.asyncio\nasync def test_check_datamate_connection_url_not_configured(monkeypatch):\n    \"\"\"Test check_datamate_connection function when DataMate URL is not configured.\"\"\"\n    # Mock MODEL_ENGINE_ENABLED to be true\n    monkeypatch.setattr(\n        \"backend.services.datamate_service.MODEL_ENGINE_ENABLED\", \"true\"\n    )\n\n    # Mock tenant_config_manager to return None (no DataMate URL configured)\n    mock_config_manager = MagicMock()\n    mock_config_manager.get_app_config.return_value = None\n    monkeypatch.setattr(\n        \"backend.services.datamate_service.tenant_config_manager\", mock_config_manager\n    )\n\n    # Mock logger to capture warning message\n    mock_logger = MagicMock()\n    monkeypatch.setattr(\n        \"backend.services.datamate_service.logger\", mock_logger\n    )\n\n    # Execute\n    is_connected, error_message = await check_datamate_connection(\"tenant1\")\n\n    # Assert\n    assert is_connected is False\n    assert error_message == \"DataMate URL not configured\"\n\n    # Verify the warning was logged\n    mock_logger.warning.assert_called_once()\n    call_args = mock_logger.warning.call_args[0][0]\n    assert \"DataMate URL not configured\" in call_args\n\n\n@pytest.mark.asyncio\nasync def test_check_datamate_connection_empty_url(monkeypatch):\n    \"\"\"Test check_datamate_connection function when DataMate URL is empty string.\"\"\"\n    # Mock MODEL_ENGINE_ENABLED to be true\n    monkeypatch.setattr(\n        \"backend.services.datamate_service.MODEL_ENGINE_ENABLED\", \"true\"\n    )\n\n    # Mock tenant_config_manager to return empty string\n    mock_config_manager = MagicMock()\n    mock_config_manager.get_app_config.return_value = \"\"\n    monkeypatch.setattr(\n        \"backend.services.datamate_service.tenant_config_manager\", mock_config_manager\n    )\n\n    # Mock logger to capture warning message\n    mock_logger = MagicMock()\n    monkeypatch.setattr(\n        \"backend.services.datamate_service.logger\", mock_logger\n    )\n\n    # Execute\n    is_connected, error_message = await check_datamate_connection(\"tenant1\")\n\n    # Assert\n    assert is_connected is False\n    assert error_message == \"DataMate URL not configured\"\n\n    # Verify the warning was logged\n    mock_logger.warning.assert_called_once()\n\n\n@pytest.mark.asyncio\nasync def test_check_datamate_connection_api_error(monkeypatch):\n    \"\"\"Test check_datamate_connection function when API call fails.\"\"\"\n    # Mock MODEL_ENGINE_ENABLED to be true\n    monkeypatch.setattr(\n        \"backend.services.datamate_service.MODEL_ENGINE_ENABLED\", \"true\"\n    )\n\n    # Mock tenant_config_manager to return a configured URL\n    mock_config_manager = MagicMock()\n    mock_config_manager.get_app_config.return_value = \"http://datamate.example.com\"\n    monkeypatch.setattr(\n        \"backend.services.datamate_service.tenant_config_manager\", mock_config_manager\n    )\n\n    # Mock the _get_datamate_core function to raise an exception\n    def raise_api_error(tenant_id, datamate_url=None):\n        raise Exception(\"API connection timeout\")\n\n    monkeypatch.setattr(\n        \"backend.services.datamate_service._get_datamate_core\",\n        raise_api_error\n    )\n\n    # Mock logger to capture error message\n    mock_logger = MagicMock()\n    monkeypatch.setattr(\n        \"backend.services.datamate_service.logger\", mock_logger\n    )\n\n    # Execute\n    is_connected, error_message = await check_datamate_connection(\"tenant1\")\n\n    # Assert\n    assert is_connected is False\n    assert \"API connection timeout\" in error_message\n\n    # Verify error was logged\n    mock_logger.error.assert_called_once()\n    call_args = mock_logger.error.call_args[0][0]\n    assert \"API connection timeout\" in call_args\n\n\n@pytest.mark.asyncio\nasync def test_check_datamate_connection_with_custom_url(monkeypatch):\n    \"\"\"Test check_datamate_connection function with custom datamate_url from request.\"\"\"\n    # Mock MODEL_ENGINE_ENABLED to be true\n    monkeypatch.setattr(\n        \"backend.services.datamate_service.MODEL_ENGINE_ENABLED\", \"true\"\n    )\n\n    # Custom datamate URL provided in request - should be used directly\n    custom_datamate_url = \"http://custom-datamate.example.com:8080\"\n\n    # Mock the _get_datamate_core function\n    fake_core = MagicMock()\n    fake_core.get_user_indices.return_value = [\"kb1\"]\n\n    # Track calls to _get_datamate_core\n    core_calls = []\n\n    def create_core_with_custom_url(tenant_id, datamate_url=None):\n        core_calls.append({\"tenant_id\": tenant_id, \"datamate_url\": datamate_url})\n        return fake_core\n\n    monkeypatch.setattr(\n        \"backend.services.datamate_service._get_datamate_core\",\n        create_core_with_custom_url\n    )\n\n    # Mock logger\n    mock_logger = MagicMock()\n    monkeypatch.setattr(\n        \"backend.services.datamate_service.logger\", mock_logger\n    )\n\n    # Execute with custom datamate_url\n    is_connected, error_message = await check_datamate_connection(\n        \"tenant1\", datamate_url=custom_datamate_url\n    )\n\n    # Assert\n    assert is_connected is True\n    assert error_message == \"\"\n\n    # Verify _get_datamate_core was called with the custom URL\n    assert len(core_calls) == 1\n    assert core_calls[0][\"datamate_url\"] == custom_datamate_url\n\n\n@pytest.mark.asyncio\nasync def test_check_datamate_connection_with_none_url(monkeypatch):\n    \"\"\"Test check_datamate_connection function with None datamate_url falls back to tenant config.\"\"\"\n    # Mock MODEL_ENGINE_ENABLED to be true\n    monkeypatch.setattr(\n        \"backend.services.datamate_service.MODEL_ENGINE_ENABLED\", \"true\"\n    )\n\n    # Mock tenant_config_manager to return a configured URL\n    mock_config_manager = MagicMock()\n    mock_config_manager.get_app_config.return_value = \"http://tenant-configured.example.com\"\n    monkeypatch.setattr(\n        \"backend.services.datamate_service.tenant_config_manager\", mock_config_manager\n    )\n\n    # Mock the _get_datamate_core function\n    fake_core = MagicMock()\n    fake_core.get_user_indices.return_value = [\"kb1\"]\n\n    # Track calls to _get_datamate_core\n    core_calls = []\n\n    def create_core_tracking_call(tenant_id, datamate_url=None):\n        core_calls.append({\"tenant_id\": tenant_id, \"datamate_url\": datamate_url})\n        return fake_core\n\n    monkeypatch.setattr(\n        \"backend.services.datamate_service._get_datamate_core\",\n        create_core_tracking_call\n    )\n\n    # Mock logger\n    mock_logger = MagicMock()\n    monkeypatch.setattr(\n        \"backend.services.datamate_service.logger\", mock_logger\n    )\n\n    # Execute with None datamate_url - should fall back to tenant config\n    is_connected, error_message = await check_datamate_connection(\n        \"tenant1\", datamate_url=None\n    )\n\n    # Assert\n    assert is_connected is True\n    assert error_message == \"\"\n\n    # Verify _get_datamate_core was called with the URL from tenant config (not None)\n    assert len(core_calls) == 1\n    assert core_calls[0][\"datamate_url\"] == \"http://tenant-configured.example.com\"\n\n\n@pytest.mark.asyncio\nasync def test_check_datamate_connection_with_https_url(monkeypatch):\n    \"\"\"Test check_datamate_connection function with HTTPS datamate_url.\"\"\"\n    # Mock MODEL_ENGINE_ENABLED to be true\n    monkeypatch.setattr(\n        \"backend.services.datamate_service.MODEL_ENGINE_ENABLED\", \"true\"\n    )\n\n    # Custom HTTPS URL - SSL should be disabled for DataMateCore\n    https_datamate_url = \"https://secure-datamate.example.com\"\n\n    # Mock the _get_datamate_core function\n    fake_core = MagicMock()\n    fake_core.get_user_indices.return_value = [\"kb1\"]\n\n    # Track calls to _get_datamate_core\n    core_calls = []\n\n    def create_core_tracking_call(tenant_id, datamate_url=None):\n        core_calls.append({\"tenant_id\": tenant_id, \"datamate_url\": datamate_url})\n        return fake_core\n\n    monkeypatch.setattr(\n        \"backend.services.datamate_service._get_datamate_core\",\n        create_core_tracking_call\n    )\n\n    # Mock logger\n    mock_logger = MagicMock()\n    monkeypatch.setattr(\n        \"backend.services.datamate_service.logger\", mock_logger\n    )\n\n    # Execute with HTTPS datamate_url\n    is_connected, error_message = await check_datamate_connection(\n        \"tenant1\", datamate_url=https_datamate_url\n    )\n\n    # Assert\n    assert is_connected is True\n    assert error_message == \"\"\n\n    # Verify _get_datamate_core was called with the HTTPS URL\n    assert len(core_calls) == 1\n    assert core_calls[0][\"datamate_url\"] == https_datamate_url\n\n\n@pytest.mark.asyncio\nasync def test_check_datamate_connection_configuration_error(monkeypatch):\n    \"\"\"Test check_datamate_connection function when _get_datamate_core raises ValueError.\"\"\"\n    # Mock MODEL_ENGINE_ENABLED to be true\n    monkeypatch.setattr(\n        \"backend.services.datamate_service.MODEL_ENGINE_ENABLED\", \"true\"\n    )\n\n    # Mock tenant_config_manager to return a configured URL\n    mock_config_manager = MagicMock()\n    mock_config_manager.get_app_config.return_value = \"http://datamate.example.com\"\n    monkeypatch.setattr(\n        \"backend.services.datamate_service.tenant_config_manager\", mock_config_manager\n    )\n\n    # Mock the _get_datamate_core function to raise ValueError (configuration error)\n    def raise_config_error(tenant_id, datamate_url=None):\n        raise ValueError(\"Invalid DataMate URL configuration\")\n\n    monkeypatch.setattr(\n        \"backend.services.datamate_service._get_datamate_core\",\n        raise_config_error\n    )\n\n    # Mock logger to capture error message\n    mock_logger = MagicMock()\n    monkeypatch.setattr(\n        \"backend.services.datamate_service.logger\", mock_logger\n    )\n\n    # Execute\n    is_connected, error_message = await check_datamate_connection(\"tenant1\")\n\n    # Assert\n    assert is_connected is False\n    assert error_message == \"Invalid DataMate URL configuration\"\n\n    # Verify error was logged\n    mock_logger.error.assert_called_once()\n    call_args = mock_logger.error.call_args[0][0]\n    assert \"configuration error\" in call_args\n"
  },
  {
    "path": "test/backend/services/test_dify_service.py",
    "content": "\"\"\"\nUnit tests for Dify Service Layer.\n\nTests the fetch_dify_datasets_impl function which handles API calls to Dify\nfor knowledge base operations.\n\"\"\"\nimport json\nimport pytest\nfrom unittest.mock import MagicMock, patch\nimport httpx\n\nfrom backend.consts.error_code import ErrorCode\nfrom backend.consts.exceptions import AppException\n\n\ndef _create_mock_client(mock_response):\n    \"\"\"\n    Create a properly configured mock client that works with the HttpClientManager.\n\n    The http_client_manager.get_sync_client() returns a client instance directly.\n    \"\"\"\n    mock_client = MagicMock()\n    mock_client.get.return_value = mock_response\n    return mock_client\n\n\nclass TestFetchDifyDatasetsImpl:\n    \"\"\"Test class for fetch_dify_datasets_impl function.\"\"\"\n\n    def test_fetch_dify_datasets_impl_success_single_dataset(self):\n        \"\"\"Test successful fetching of a single dataset from Dify API.\"\"\"\n        mock_response = MagicMock()\n        mock_response.json.return_value = {\n            \"data\": [\n                {\n                    \"id\": \"ds-123\",\n                    \"name\": \"Test Knowledge Base\",\n                    \"document_count\": 10,\n                    \"created_at\": 1704067200,\n                    \"updated_at\": 1704153600,\n                    \"embedding_available\": True,\n                    \"embedding_model\": \"text-embedding-3-small\"\n                }\n            ]\n        }\n        mock_response.raise_for_status = MagicMock()\n\n        mock_client = _create_mock_client(mock_response)\n\n        with patch('backend.services.dify_service.http_client_manager') as mock_manager:\n            mock_manager.get_sync_client.return_value = mock_client\n\n            from backend.services.dify_service import fetch_dify_datasets_impl\n\n            result = fetch_dify_datasets_impl(\n                dify_api_base=\"https://dify.example.com\",\n                api_key=\"test-api-key\"\n            )\n\n        # Verify structure\n        assert result[\"count\"] == 1\n        assert len(result[\"indices\"]) == 1\n        assert result[\"indices\"][0] == \"ds-123\"\n        assert len(result[\"indices_info\"]) == 1\n\n        # Verify indices_info content\n        info = result[\"indices_info\"][0]\n        assert info[\"name\"] == \"ds-123\"\n        assert info[\"display_name\"] == \"Test Knowledge Base\"\n        assert info[\"stats\"][\"base_info\"][\"doc_count\"] == 10\n        assert info[\"stats\"][\"base_info\"][\"process_source\"] == \"Dify\"\n        assert info[\"stats\"][\"base_info\"][\"embedding_model\"] == \"text-embedding-3-small\"\n        assert result[\"pagination\"][\"embedding_available\"] is True\n\n    def test_fetch_dify_datasets_impl_success_multiple_datasets(self):\n        \"\"\"Test successful fetching of multiple datasets from Dify API.\"\"\"\n        mock_response = MagicMock()\n        mock_response.json.return_value = {\n            \"data\": [\n                {\n                    \"id\": \"ds-1\",\n                    \"name\": \"Knowledge Base 1\",\n                    \"document_count\": 5,\n                    \"created_at\": 1704067200,\n                    \"updated_at\": 1704153600,\n                    \"embedding_available\": True,\n                    \"embedding_model\": \"text-embedding-3-small\"\n                },\n                {\n                    \"id\": \"ds-2\",\n                    \"name\": \"Knowledge Base 2\",\n                    \"document_count\": 20,\n                    \"created_at\": 1704240000,\n                    \"updated_at\": 1704326400,\n                    \"embedding_available\": False\n                }\n            ]\n        }\n        mock_response.raise_for_status = MagicMock()\n\n        mock_client = _create_mock_client(mock_response)\n\n        with patch('backend.services.dify_service.http_client_manager') as mock_manager:\n            mock_manager.get_sync_client.return_value = mock_client\n\n            from backend.services.dify_service import fetch_dify_datasets_impl\n\n            result = fetch_dify_datasets_impl(\n                dify_api_base=\"https://dify.example.com\",\n                api_key=\"test-api-key\"\n            )\n\n        assert result[\"count\"] == 2\n        assert len(result[\"indices\"]) == 2\n        assert result[\"indices\"] == [\"ds-1\", \"ds-2\"]\n        assert len(result[\"indices_info\"]) == 2\n\n        # Check first dataset\n        assert result[\"indices_info\"][0][\"display_name\"] == \"Knowledge Base 1\"\n        assert result[\"indices_info\"][0][\"stats\"][\"base_info\"][\"doc_count\"] == 5\n\n        # Check second dataset\n        assert result[\"indices_info\"][1][\"display_name\"] == \"Knowledge Base 2\"\n        assert result[\"indices_info\"][1][\"stats\"][\"base_info\"][\"doc_count\"] == 20\n        assert result[\"pagination\"][\"embedding_available\"] is False\n\n    def test_fetch_dify_datasets_impl_empty_response(self):\n        \"\"\"Test fetching when Dify API returns empty dataset list.\"\"\"\n        mock_response = MagicMock()\n        mock_response.json.return_value = {\"data\": []}\n        mock_response.raise_for_status = MagicMock()\n\n        mock_client = _create_mock_client(mock_response)\n\n        with patch('backend.services.dify_service.http_client_manager') as mock_manager:\n            mock_manager.get_sync_client.return_value = mock_client\n\n            from backend.services.dify_service import fetch_dify_datasets_impl\n\n            result = fetch_dify_datasets_impl(\n                dify_api_base=\"https://dify.example.com\",\n                api_key=\"test-api-key\"\n            )\n\n        assert result[\"count\"] == 0\n        assert result[\"indices\"] == []\n        assert result[\"indices_info\"] == []\n        assert result[\"pagination\"][\"embedding_available\"] is False\n\n    def test_fetch_dify_datasets_impl_invalid_api_base_none(self):\n        \"\"\"Test AppException when dify_api_base is None.\"\"\"\n        from backend.services.dify_service import fetch_dify_datasets_impl\n\n        # Catch Exception and verify it's an AppException with expected error code\n        with pytest.raises(Exception) as excinfo:\n            fetch_dify_datasets_impl(\n                dify_api_base=None,\n                api_key=\"test-api-key\"\n            )\n\n        # Verify it's an AppException with the correct error code\n        assert hasattr(excinfo.value, 'error_code')\n        assert excinfo.value.error_code.value == ErrorCode.DIFY_CONFIG_INVALID.value\n\n    def test_fetch_dify_datasets_impl_invalid_api_base_empty_string(self):\n        \"\"\"Test AppException when dify_api_base is empty string.\"\"\"\n        from backend.services.dify_service import fetch_dify_datasets_impl\n\n        with pytest.raises(Exception) as excinfo:\n            fetch_dify_datasets_impl(\n                dify_api_base=\"\",\n                api_key=\"test-api-key\"\n            )\n\n        assert hasattr(excinfo.value, 'error_code')\n        assert excinfo.value.error_code.value == ErrorCode.DIFY_CONFIG_INVALID.value\n\n    def test_fetch_dify_datasets_impl_invalid_api_base_not_string(self):\n        \"\"\"Test AppException when dify_api_base is not a string.\"\"\"\n        from backend.services.dify_service import fetch_dify_datasets_impl\n\n        with pytest.raises(Exception) as excinfo:\n            fetch_dify_datasets_impl(\n                dify_api_base=12345,\n                api_key=\"test-api-key\"\n            )\n\n        assert hasattr(excinfo.value, 'error_code')\n        assert excinfo.value.error_code.value == ErrorCode.DIFY_CONFIG_INVALID.value\n\n    def test_fetch_dify_datasets_impl_invalid_api_key_none(self):\n        \"\"\"Test AppException when api_key is None.\"\"\"\n        from backend.services.dify_service import fetch_dify_datasets_impl\n\n        with pytest.raises(Exception) as excinfo:\n            fetch_dify_datasets_impl(\n                dify_api_base=\"https://dify.example.com\",\n                api_key=None\n            )\n\n        assert hasattr(excinfo.value, 'error_code')\n        assert excinfo.value.error_code.value == ErrorCode.DIFY_CONFIG_INVALID.value\n\n    def test_fetch_dify_datasets_impl_invalid_api_key_empty_string(self):\n        \"\"\"Test AppException when api_key is empty string.\"\"\"\n        from backend.services.dify_service import fetch_dify_datasets_impl\n\n        with pytest.raises(Exception) as excinfo:\n            fetch_dify_datasets_impl(\n                dify_api_base=\"https://dify.example.com\",\n                api_key=\"\"\n            )\n\n        assert hasattr(excinfo.value, 'error_code')\n        assert excinfo.value.error_code.value == ErrorCode.DIFY_CONFIG_INVALID.value\n\n    def test_fetch_dify_datasets_impl_invalid_api_key_not_string(self):\n        \"\"\"Test AppException when api_key is not a string.\"\"\"\n        from backend.services.dify_service import fetch_dify_datasets_impl\n\n        with pytest.raises(Exception) as excinfo:\n            fetch_dify_datasets_impl(\n                dify_api_base=\"https://dify.example.com\",\n                api_key=[]  # list is not a string\n            )\n\n        assert hasattr(excinfo.value, 'error_code')\n        assert excinfo.value.error_code.value == ErrorCode.DIFY_CONFIG_INVALID.value\n\n    def test_fetch_dify_datasets_impl_url_normalization_trailing_slash(self):\n        \"\"\"Test that trailing slash is removed from API base URL.\"\"\"\n        mock_response = MagicMock()\n        mock_response.json.return_value = {\"data\": []}\n        mock_response.raise_for_status = MagicMock()\n\n        mock_client = _create_mock_client(mock_response)\n\n        with patch('backend.services.dify_service.http_client_manager') as mock_manager:\n            mock_manager.get_sync_client.return_value = mock_client\n\n            from backend.services.dify_service import fetch_dify_datasets_impl\n\n            fetch_dify_datasets_impl(\n                dify_api_base=\"https://dify.example.com/\",\n                api_key=\"test-api-key\"\n            )\n\n        # Verify URL is normalized (no trailing slash)\n        mock_client.get.assert_called_once()\n        called_url = mock_client.get.call_args[0][0]\n        assert called_url == \"https://dify.example.com/v1/datasets\"\n        assert not called_url.endswith(\"//\")\n\n    def test_fetch_dify_datasets_impl_http_error(self):\n        \"\"\"Test handling of HTTP status errors from Dify API.\"\"\"\n        mock_response = MagicMock()\n        mock_response.raise_for_status.side_effect = httpx.HTTPStatusError(\n            \"404 Not Found\",\n            request=MagicMock(),\n            response=MagicMock(status_code=404)\n        )\n        mock_response.json = MagicMock()  # Should not be called\n\n        mock_client = _create_mock_client(mock_response)\n\n        with patch('backend.services.dify_service.http_client_manager') as mock_manager:\n            mock_manager.get_sync_client.return_value = mock_client\n\n            from backend.services.dify_service import fetch_dify_datasets_impl\n\n            with pytest.raises(Exception) as excinfo:\n                fetch_dify_datasets_impl(\n                    dify_api_base=\"https://dify.example.com\",\n                    api_key=\"test-api-key\"\n                )\n\n            assert \"Dify API HTTP error\" in str(excinfo.value)\n\n    def test_fetch_dify_datasets_impl_request_error(self):\n        \"\"\"Test handling of request errors (connection issues).\"\"\"\n        mock_request_error = httpx.RequestError(\n            \"Connection failed\", request=MagicMock())\n\n        mock_client = MagicMock()\n        mock_client.get.side_effect = mock_request_error\n\n        with patch('backend.services.dify_service.http_client_manager') as mock_manager:\n            mock_manager.get_sync_client.return_value = mock_client\n\n            from backend.services.dify_service import fetch_dify_datasets_impl\n\n            with pytest.raises(Exception) as excinfo:\n                fetch_dify_datasets_impl(\n                    dify_api_base=\"https://dify.example.com\",\n                    api_key=\"test-api-key\"\n                )\n\n            assert \"Dify API request failed\" in str(excinfo.value)\n\n    def test_fetch_dify_datasets_impl_json_decode_error(self):\n        \"\"\"Test handling of invalid JSON response from Dify API.\"\"\"\n        mock_response = MagicMock()\n        mock_response.json.side_effect = json.JSONDecodeError(\n            \"Invalid JSON\", \"\", 0)\n        mock_response.raise_for_status = MagicMock()\n\n        mock_client = _create_mock_client(mock_response)\n\n        with patch('backend.services.dify_service.http_client_manager') as mock_manager:\n            mock_manager.get_sync_client.return_value = mock_client\n\n            from backend.services.dify_service import fetch_dify_datasets_impl\n\n            with pytest.raises(Exception) as excinfo:\n                fetch_dify_datasets_impl(\n                    dify_api_base=\"https://dify.example.com\",\n                    api_key=\"test-api-key\"\n                )\n\n            assert \"Failed to parse Dify API response\" in str(excinfo.value)\n\n    def test_fetch_dify_datasets_impl_missing_data_key(self):\n        \"\"\"Test handling of response missing 'data' key.\"\"\"\n        mock_response = MagicMock()\n        mock_response.json.return_value = {}  # Missing 'data' key\n        mock_response.raise_for_status = MagicMock()\n\n        mock_client = _create_mock_client(mock_response)\n\n        with patch('backend.services.dify_service.http_client_manager') as mock_manager:\n            mock_manager.get_sync_client.return_value = mock_client\n\n            from backend.services.dify_service import fetch_dify_datasets_impl\n\n            result = fetch_dify_datasets_impl(\n                dify_api_base=\"https://dify.example.com\",\n                api_key=\"test-api-key\"\n            )\n\n        # Should return empty result when data key is missing\n        assert result[\"count\"] == 0\n        assert result[\"indices\"] == []\n        assert result[\"indices_info\"] == []\n\n    def test_fetch_dify_datasets_impl_dataset_without_id(self):\n        \"\"\"Test that datasets without ID are skipped.\"\"\"\n        mock_response = MagicMock()\n        mock_response.json.return_value = {\n            \"data\": [\n                {\n                    \"id\": \"\",  # Empty ID should be skipped\n                    \"name\": \"Invalid Dataset\"\n                },\n                {\n                    \"id\": \"ds-valid\",\n                    \"name\": \"Valid Dataset\",\n                    \"document_count\": 5\n                }\n            ]\n        }\n        mock_response.raise_for_status = MagicMock()\n\n        mock_client = _create_mock_client(mock_response)\n\n        with patch('backend.services.dify_service.http_client_manager') as mock_manager:\n            mock_manager.get_sync_client.return_value = mock_client\n\n            from backend.services.dify_service import fetch_dify_datasets_impl\n\n            result = fetch_dify_datasets_impl(\n                dify_api_base=\"https://dify.example.com\",\n                api_key=\"test-api-key\"\n            )\n\n        assert result[\"count\"] == 1\n        assert result[\"indices\"] == [\"ds-valid\"]\n        assert result[\"indices_info\"][0][\"display_name\"] == \"Valid Dataset\"\n\n    def test_fetch_dify_datasets_impl_dataset_missing_optional_fields(self):\n        \"\"\"Test dataset with missing optional fields (document_count, etc.).\"\"\"\n        mock_response = MagicMock()\n        mock_response.json.return_value = {\n            \"data\": [\n                {\n                    \"id\": \"ds-minimal\",\n                    \"name\": \"Minimal Dataset\"\n                    # No document_count, created_at, etc.\n                }\n            ]\n        }\n        mock_response.raise_for_status = MagicMock()\n\n        mock_client = _create_mock_client(mock_response)\n\n        with patch('backend.services.dify_service.http_client_manager') as mock_manager:\n            mock_manager.get_sync_client.return_value = mock_client\n\n            from backend.services.dify_service import fetch_dify_datasets_impl\n\n            result = fetch_dify_datasets_impl(\n                dify_api_base=\"https://dify.example.com\",\n                api_key=\"test-api-key\"\n            )\n\n        assert result[\"count\"] == 1\n        info = result[\"indices_info\"][0]\n        assert info[\"name\"] == \"ds-minimal\"\n        assert info[\"stats\"][\"base_info\"][\"doc_count\"] == 0\n        assert info[\"stats\"][\"base_info\"][\"chunk_count\"] == 0\n        assert info[\"stats\"][\"base_info\"][\"embedding_model\"] == \"\"\n\n    def test_fetch_dify_datasets_impl_timestamp_conversion(self):\n        \"\"\"Test that Unix timestamps are converted to milliseconds.\"\"\"\n        mock_response = MagicMock()\n        mock_response.json.return_value = {\n            \"data\": [\n                {\n                    \"id\": \"ds-1\",\n                    \"name\": \"Test Dataset\",\n                    \"document_count\": 5,\n                    \"created_at\": 1704067200,  # 2024-01-01 00:00:00 UTC\n                    \"updated_at\": 1704153600   # 2024-01-02 00:00:00 UTC\n                }\n            ]\n        }\n        mock_response.raise_for_status = MagicMock()\n\n        mock_client = _create_mock_client(mock_response)\n\n        with patch('backend.services.dify_service.http_client_manager') as mock_manager:\n            mock_manager.get_sync_client.return_value = mock_client\n\n            from backend.services.dify_service import fetch_dify_datasets_impl\n\n            result = fetch_dify_datasets_impl(\n                dify_api_base=\"https://dify.example.com\",\n                api_key=\"test-api-key\"\n            )\n\n        # Timestamps should be converted to milliseconds (multiply by 1000)\n        info = result[\"indices_info\"][0]\n        assert info[\"stats\"][\"base_info\"][\"creation_date\"] == 1704067200000\n        assert info[\"stats\"][\"base_info\"][\"update_date\"] == 1704153600000\n\n    def test_fetch_dify_datasets_impl_timestamp_zero_for_missing(self):\n        \"\"\"Test that missing timestamps result in zero.\"\"\"\n        mock_response = MagicMock()\n        mock_response.json.return_value = {\n            \"data\": [\n                {\n                    \"id\": \"ds-1\",\n                    \"name\": \"Test Dataset\",\n                    \"created_at\": None,\n                    \"updated_at\": None\n                }\n            ]\n        }\n        mock_response.raise_for_status = MagicMock()\n\n        mock_client = _create_mock_client(mock_response)\n\n        with patch('backend.services.dify_service.http_client_manager') as mock_manager:\n            mock_manager.get_sync_client.return_value = mock_client\n\n            from backend.services.dify_service import fetch_dify_datasets_impl\n\n            result = fetch_dify_datasets_impl(\n                dify_api_base=\"https://dify.example.com\",\n                api_key=\"test-api-key\"\n            )\n\n        info = result[\"indices_info\"][0]\n        assert info[\"stats\"][\"base_info\"][\"creation_date\"] == 0\n        assert info[\"stats\"][\"base_info\"][\"update_date\"] == 0\n\n    def test_fetch_dify_datasets_impl_request_headers(self):\n        \"\"\"Test that correct headers are sent in API request.\"\"\"\n        mock_response = MagicMock()\n        mock_response.json.return_value = {\"data\": []}\n        mock_response.raise_for_status = MagicMock()\n\n        mock_client = _create_mock_client(mock_response)\n\n        with patch('backend.services.dify_service.http_client_manager') as mock_manager:\n            mock_manager.get_sync_client.return_value = mock_client\n\n            from backend.services.dify_service import fetch_dify_datasets_impl\n\n            fetch_dify_datasets_impl(\n                dify_api_base=\"https://dify.example.com\",\n                api_key=\"my-secret-api-key\"\n            )\n\n        mock_client.get.assert_called_once()\n        call_args = mock_client.get.call_args\n\n        # Verify URL\n        assert call_args[0][0] == \"https://dify.example.com/v1/datasets\"\n\n        # Verify headers\n        headers = call_args[1][\"headers\"]\n        assert headers[\"Authorization\"] == \"Bearer my-secret-api-key\"\n        assert headers[\"Content-Type\"] == \"application/json\"\n\n    def test_fetch_dify_datasets_impl_url_normalization_v1_suffix(self):\n        \"\"\"Test that /v1 suffix is removed from API base URL to avoid duplication.\n\n        E.g., \"https://api.dify.ai/v1\" -> \"https://api.dify.ai\"\n        \"\"\"\n        mock_response = MagicMock()\n        mock_response.json.return_value = {\"data\": []}\n        mock_response.raise_for_status = MagicMock()\n\n        mock_client = _create_mock_client(mock_response)\n\n        with patch('backend.services.dify_service.http_client_manager') as mock_manager:\n            mock_manager.get_sync_client.return_value = mock_client\n\n            from backend.services.dify_service import fetch_dify_datasets_impl\n\n            fetch_dify_datasets_impl(\n                dify_api_base=\"https://api.dify.ai/v1\",\n                api_key=\"test-api-key\"\n            )\n\n        # Verify URL is normalized (/v1 suffix removed)\n        mock_client.get.assert_called_once()\n        called_url = mock_client.get.call_args[0][0]\n        assert called_url == \"https://api.dify.ai/v1/datasets\"\n        assert \"/v1/v1/\" not in called_url\n\n    def test_fetch_dify_datasets_impl_url_normalization_v1_with_trailing_slash(self):\n        \"\"\"Test that /v1/ suffix is removed from API base URL to avoid duplication.\n\n        E.g., \"https://api.dify.ai/v1/\" -> \"https://api.dify.ai\"\n        \"\"\"\n        mock_response = MagicMock()\n        mock_response.json.return_value = {\"data\": []}\n        mock_response.raise_for_status = MagicMock()\n\n        mock_client = _create_mock_client(mock_response)\n\n        with patch('backend.services.dify_service.http_client_manager') as mock_manager:\n            mock_manager.get_sync_client.return_value = mock_client\n\n            from backend.services.dify_service import fetch_dify_datasets_impl\n\n            fetch_dify_datasets_impl(\n                dify_api_base=\"https://api.dify.ai/v1/\",\n                api_key=\"test-api-key\"\n            )\n\n        # Verify URL is normalized (/v1/ suffix removed)\n        mock_client.get.assert_called_once()\n        called_url = mock_client.get.call_args[0][0]\n        assert called_url == \"https://api.dify.ai/v1/datasets\"\n        assert \"/v1/v1/\" not in called_url\n\n    def test_fetch_dify_datasets_impl_url_normalization_v1_and_trailing_slash_combined(self):\n        \"\"\"Test URL normalization when API base has /v1 and trailing slash.\n\n        E.g., \"https://api.dify.ai/v1/\" -> \"https://api.dify.ai\"\n        Then /v1/datasets is appended.\n        \"\"\"\n        mock_response = MagicMock()\n        mock_response.json.return_value = {\"data\": []}\n        mock_response.raise_for_status = MagicMock()\n\n        mock_client = _create_mock_client(mock_response)\n\n        with patch('backend.services.dify_service.http_client_manager') as mock_manager:\n            mock_manager.get_sync_client.return_value = mock_client\n\n            # This tests the combined effect: rstrip(\"/\") + endswith(\"/v1\") check\n            from backend.services.dify_service import fetch_dify_datasets_impl\n\n            fetch_dify_datasets_impl(\n                dify_api_base=\"https://api.dify.ai/v1/\",\n                api_key=\"test-api-key\"\n            )\n\n        mock_client.get.assert_called_once()\n        called_url = mock_client.get.call_args[0][0]\n        # Should result in clean URL without double slashes or /v1 duplication\n        assert called_url == \"https://api.dify.ai/v1/datasets\"\n        assert not called_url.endswith(\"//\")\n        assert not called_url.endswith(\"/v1/v1/\")\n\n    def test_fetch_dify_datasets_impl_url_normalization_no_v1_suffix(self):\n        \"\"\"Test that URLs without /v1 suffix are not modified.\n\n        E.g., \"https://api.dify.ai\" stays as \"https://api.dify.ai\"\n        \"\"\"\n        mock_response = MagicMock()\n        mock_response.json.return_value = {\"data\": []}\n        mock_response.raise_for_status = MagicMock()\n\n        mock_client = _create_mock_client(mock_response)\n\n        with patch('backend.services.dify_service.http_client_manager') as mock_manager:\n            mock_manager.get_sync_client.return_value = mock_client\n\n            from backend.services.dify_service import fetch_dify_datasets_impl\n\n            fetch_dify_datasets_impl(\n                dify_api_base=\"https://api.dify.ai\",\n                api_key=\"test-api-key\"\n            )\n\n        mock_client.get.assert_called_once()\n        called_url = mock_client.get.call_args[0][0]\n        assert called_url == \"https://api.dify.ai/v1/datasets\"\n\n    def test_fetch_dify_datasets_impl_url_v1_suffix_in_custom_path(self):\n        \"\"\"Test that /v1 suffix is stripped even when in custom path.\n\n        The code removes /v1 suffix regardless of URL structure.\n        E.g., \"https://api.dify.ai/custom/v1\" -> \"https://api.dify.ai/custom\"\n        Then /v1/datasets is appended: \"https://api.dify.ai/custom/v1/datasets\"\n        \"\"\"\n        mock_response = MagicMock()\n        mock_response.json.return_value = {\"data\": []}\n        mock_response.raise_for_status = MagicMock()\n\n        mock_client = _create_mock_client(mock_response)\n\n        with patch('backend.services.dify_service.http_client_manager') as mock_manager:\n            mock_manager.get_sync_client.return_value = mock_client\n\n            # The /v1 at the end of base URL gets stripped\n            from backend.services.dify_service import fetch_dify_datasets_impl\n\n            fetch_dify_datasets_impl(\n                dify_api_base=\"https://api.dify.ai/custom/v1\",\n                api_key=\"test-api-key\"\n            )\n\n        mock_client.get.assert_called_once()\n        called_url = mock_client.get.call_args[0][0]\n        # /v1 is stripped, then /v1/datasets is appended\n        assert called_url == \"https://api.dify.ai/custom/v1/datasets\"\n        # Verify no duplication\n        assert \"/v1/v1\" not in called_url\n\n    def test_fetch_dify_datasets_impl_url_v1_suffix_with_port(self):\n        \"\"\"Test /v1 suffix removal with port number in URL.\n\n        E.g., \"https://api.dify.ai:8080/v1\" -> \"https://api.dify.ai:8080\"\n        \"\"\"\n        mock_response = MagicMock()\n        mock_response.json.return_value = {\"data\": []}\n        mock_response.raise_for_status = MagicMock()\n\n        mock_client = _create_mock_client(mock_response)\n\n        with patch('backend.services.dify_service.http_client_manager') as mock_manager:\n            mock_manager.get_sync_client.return_value = mock_client\n\n            from backend.services.dify_service import fetch_dify_datasets_impl\n\n            fetch_dify_datasets_impl(\n                dify_api_base=\"https://api.dify.ai:8080/v1\",\n                api_key=\"test-api-key\"\n            )\n\n        mock_client.get.assert_called_once()\n        called_url = mock_client.get.call_args[0][0]\n        assert called_url == \"https://api.dify.ai:8080/v1/datasets\"\n        assert \"/v1/v1\" not in called_url\n\n    @pytest.mark.parametrize(\"api_base_url\", [\n        \"https://api.dify.ai/v1\",\n        \"https://api.dify.ai/v1/\",\n        \"http://localhost:3000/v1\",\n        \"http://localhost:3000/v1/\",\n        \"https://dify.example.com/v1\",\n        \"https://dify.example.com/v1/\",\n    ])\n    def test_fetch_dify_datasets_impl_url_v1_suffix_parametrized(self, api_base_url):\n        \"\"\"Parametrized test for various /v1 suffix formats.\"\"\"\n        mock_response = MagicMock()\n        mock_response.json.return_value = {\"data\": []}\n        mock_response.raise_for_status = MagicMock()\n\n        mock_client = _create_mock_client(mock_response)\n\n        with patch('backend.services.dify_service.http_client_manager') as mock_manager:\n            mock_manager.get_sync_client.return_value = mock_client\n\n            from backend.services.dify_service import fetch_dify_datasets_impl\n\n            fetch_dify_datasets_impl(\n                dify_api_base=api_base_url,\n                api_key=\"test-api-key\"\n            )\n\n        mock_client.get.assert_called_once()\n        called_url = mock_client.get.call_args[0][0]\n        # Verify no URL duplication (/v1 should not appear twice)\n        assert \"/v1/v1\" not in called_url, f\"URL duplication detected: {called_url}\"\n        # Verify URL ends with /v1/datasets\n        assert called_url.endswith(\"/v1/datasets\")\n\n    def test_fetch_dify_datasets_impl_url_without_protocol(self):\n        \"\"\"Test ValueError when dify_api_base doesn't start with http:// or https://.\"\"\"\n        from backend.services.dify_service import fetch_dify_datasets_impl\n\n        with pytest.raises(Exception) as excinfo:\n            fetch_dify_datasets_impl(\n                dify_api_base=\"dify.example.com\",\n                api_key=\"test-api-key\"\n            )\n\n        assert \"must start with http:// or https://\" in str(excinfo.value)\n\n    def test_fetch_dify_datasets_impl_url_with_ftp_protocol(self):\n        \"\"\"Test ValueError when dify_api_base uses unsupported protocol.\"\"\"\n        from backend.services.dify_service import fetch_dify_datasets_impl\n\n        with pytest.raises(Exception) as excinfo:\n            fetch_dify_datasets_impl(\n                dify_api_base=\"ftp://dify.example.com\",\n                api_key=\"test-api-key\"\n            )\n\n        assert \"must start with http:// or https://\" in str(excinfo.value)\n\n    def test_fetch_dify_datasets_impl_http_401_auth_error(self):\n        \"\"\"Test that HTTP 401 maps to DIFY_AUTH_ERROR.\"\"\"\n        mock_response = MagicMock()\n        # Create a proper mock response object with status_code as a real integer\n        mock_response.raise_for_status.side_effect = httpx.HTTPStatusError(\n            \"401 Unauthorized\",\n            request=MagicMock(),\n            response=type('MockResponse', (), {'status_code': 401})()\n        )\n\n        mock_client = _create_mock_client(mock_response)\n\n        with patch('backend.services.dify_service.http_client_manager') as mock_manager:\n            mock_manager.get_sync_client.return_value = mock_client\n\n            from backend.services.dify_service import fetch_dify_datasets_impl\n\n            # Catch Exception and verify it's an AppException with DIFY_AUTH_ERROR\n            with pytest.raises(Exception) as excinfo:\n                fetch_dify_datasets_impl(\n                    dify_api_base=\"https://dify.example.com\",\n                    api_key=\"test-api-key\"\n                )\n\n            assert hasattr(excinfo.value, 'error_code')\n            assert excinfo.value.error_code.value == ErrorCode.DIFY_AUTH_ERROR.value\n\n    def test_fetch_dify_datasets_impl_http_403_auth_error(self):\n        \"\"\"Test that HTTP 403 maps to DIFY_AUTH_ERROR.\"\"\"\n        mock_response = MagicMock()\n        mock_response.raise_for_status.side_effect = httpx.HTTPStatusError(\n            \"403 Forbidden\",\n            request=MagicMock(),\n            response=type('MockResponse', (), {'status_code': 403})()\n        )\n\n        mock_client = _create_mock_client(mock_response)\n\n        with patch('backend.services.dify_service.http_client_manager') as mock_manager:\n            mock_manager.get_sync_client.return_value = mock_client\n\n            from backend.services.dify_service import fetch_dify_datasets_impl\n\n            with pytest.raises(Exception) as excinfo:\n                fetch_dify_datasets_impl(\n                    dify_api_base=\"https://dify.example.com\",\n                    api_key=\"test-api-key\"\n                )\n\n            assert hasattr(excinfo.value, 'error_code')\n            assert excinfo.value.error_code.value == ErrorCode.DIFY_AUTH_ERROR.value\n\n    def test_fetch_dify_datasets_impl_http_429_rate_limit(self):\n        \"\"\"Test that HTTP 429 maps to DIFY_RATE_LIMIT.\"\"\"\n        mock_response = MagicMock()\n        mock_response.raise_for_status.side_effect = httpx.HTTPStatusError(\n            \"429 Too Many Requests\",\n            request=MagicMock(),\n            response=type('MockResponse', (), {'status_code': 429})()\n        )\n\n        mock_client = _create_mock_client(mock_response)\n\n        with patch('backend.services.dify_service.http_client_manager') as mock_manager:\n            mock_manager.get_sync_client.return_value = mock_client\n\n            from backend.services.dify_service import fetch_dify_datasets_impl\n\n            with pytest.raises(Exception) as excinfo:\n                fetch_dify_datasets_impl(\n                    dify_api_base=\"https://dify.example.com\",\n                    api_key=\"test-api-key\"\n                )\n\n            assert hasattr(excinfo.value, 'error_code')\n            assert excinfo.value.error_code.value == ErrorCode.DIFY_RATE_LIMIT.value\n\n    def test_fetch_dify_datasets_impl_http_500_service_error(self):\n        \"\"\"Test that HTTP 500 maps to DIFY_SERVICE_ERROR.\"\"\"\n        mock_response = MagicMock()\n        mock_response.raise_for_status.side_effect = httpx.HTTPStatusError(\n            \"500 Internal Server Error\",\n            request=MagicMock(),\n            response=type('MockResponse', (), {'status_code': 500})()\n        )\n\n        mock_client = _create_mock_client(mock_response)\n\n        with patch('backend.services.dify_service.http_client_manager') as mock_manager:\n            mock_manager.get_sync_client.return_value = mock_client\n\n            from backend.services.dify_service import fetch_dify_datasets_impl\n\n            with pytest.raises(Exception) as excinfo:\n                fetch_dify_datasets_impl(\n                    dify_api_base=\"https://dify.example.com\",\n                    api_key=\"test-api-key\"\n                )\n\n            assert hasattr(excinfo.value, 'error_code')\n            assert excinfo.value.error_code.value == ErrorCode.DIFY_SERVICE_ERROR.value\n\n    def test_fetch_dify_datasets_impl_http_404_service_error(self):\n        \"\"\"Test that HTTP 404 maps to DIFY_SERVICE_ERROR.\"\"\"\n        mock_response = MagicMock()\n        mock_response.raise_for_status.side_effect = httpx.HTTPStatusError(\n            \"404 Not Found\",\n            request=MagicMock(),\n            response=type('MockResponse', (), {'status_code': 404})()\n        )\n\n        mock_client = _create_mock_client(mock_response)\n\n        with patch('backend.services.dify_service.http_client_manager') as mock_manager:\n            mock_manager.get_sync_client.return_value = mock_client\n\n            from backend.services.dify_service import fetch_dify_datasets_impl\n\n            with pytest.raises(Exception) as excinfo:\n                fetch_dify_datasets_impl(\n                    dify_api_base=\"https://dify.example.com\",\n                    api_key=\"test-api-key\"\n                )\n\n            assert hasattr(excinfo.value, 'error_code')\n            assert excinfo.value.error_code.value == ErrorCode.DIFY_SERVICE_ERROR.value\n"
  },
  {
    "path": "test/backend/services/test_file_management_service.py",
    "content": "\"\"\"\nUnit tests for the file management service.\nThese tests verify the behavior of file upload, download, and management operations\nwithout actual file system or MinIO connections.\nAll external services and dependencies are mocked to isolate the tests.\n\"\"\"\nimport importlib\nimport os\nimport sys\nimport types\nimport pytest\nfrom unittest.mock import patch, MagicMock, AsyncMock, Mock\nfrom pathlib import Path\nfrom io import BytesIO\n\n# Dynamically determine the backend path\ncurrent_dir = os.path.dirname(os.path.abspath(__file__))\nbackend_dir = os.path.abspath(os.path.join(current_dir, \"../../../backend\"))\nsys.path.append(backend_dir)\n\n# Patch environment variables before any imports that might use them\n# Environment variables are now configured in conftest.py\n\n# Apply critical patches before importing any modules\n# This prevents real AWS/MinIO/Elasticsearch calls during import\npatch('botocore.client.BaseClient._make_api_call', return_value={}).start()\n\n# Patch storage factory and MinIO config validation to avoid errors during initialization\n# These patches must be started before any imports that use MinioClient\nstorage_client_mock = MagicMock()\nminio_mock = MagicMock()\nminio_mock._ensure_bucket_exists = MagicMock()\nminio_mock.client = MagicMock()\npatch('nexent.storage.storage_client_factory.create_storage_client_from_config', return_value=storage_client_mock).start()\npatch('nexent.storage.minio_config.MinIOStorageConfig.validate', lambda self: None).start()\npatch('backend.database.client.MinioClient', return_value=minio_mock).start()\npatch('backend.database.client.minio_client', minio_mock).start()\n\n# Stub Elasticsearch service module to avoid initializing real client during import\nservices_stub = types.ModuleType('services')\nservices_stub.__path__ = []  # Mark as package\nsys.modules.setdefault('services', services_stub)\n\nvdb_stub = types.ModuleType('services.vectordatabase_service')\n\n\nclass _StubElasticSearchService:\n    @staticmethod\n    async def list_files(index_name, include_chunks=False, vdb_core=None):\n        return {\"files\": []}\n\n\ndef _stub_get_vector_db_core():\n    return None\n\n\nvdb_stub.ElasticSearchService = _StubElasticSearchService\nvdb_stub.get_vector_db_core = _stub_get_vector_db_core\nsys.modules['services.vectordatabase_service'] = vdb_stub\nsetattr(services_stub, 'vectordatabase_service', vdb_stub)\n\n# Import the service module after mocking external dependencies\nfile_management_service = importlib.import_module(\n    'backend.services.file_management_service')\n\nupload_files_impl = file_management_service.upload_files_impl\nupload_to_minio = file_management_service.upload_to_minio\nget_file_url_impl = file_management_service.get_file_url_impl\nget_file_stream_impl = file_management_service.get_file_stream_impl\ndelete_file_impl = file_management_service.delete_file_impl\nlist_files_impl = file_management_service.list_files_impl\n\n@pytest.fixture(scope=\"module\", autouse=True)\ndef setup_patches():\n    \"\"\"Setup global patches for the test module\"\"\"\n    patches = [\n        patch('backend.database.client.db_client', MagicMock()),\n        patch('backend.database.attachment_db.minio_client', minio_mock),\n        patch('backend.database.attachment_db.upload_fileobj', MagicMock()),\n        patch('backend.database.attachment_db.get_file_url', MagicMock()),\n        patch('backend.database.attachment_db.get_content_type', MagicMock()),\n        patch('backend.database.attachment_db.get_file_stream', MagicMock()),\n        patch('backend.database.attachment_db.delete_file', MagicMock()),\n        patch('backend.database.attachment_db.list_files', MagicMock()),\n        patch('backend.services.file_management_service.get_file_size_from_minio', MagicMock(return_value=0)),\n        patch('backend.services.file_management_service.save_upload_file', AsyncMock()),\n        patch('backend.services.file_management_service.upload_semaphore', MagicMock()),\n        patch('backend.services.file_management_service.upload_dir',\n              Path(\"/test/uploads\")),\n        patch('backend.services.file_management_service.logger', MagicMock())\n    ]\n\n    # Start all patches\n    for p in patches:\n        p.start()\n\n    yield\n\n    # Stop all patches\n    for p in patches:\n        p.stop()\n\n\nclass TestUploadFilesImpl:\n    \"\"\"Test cases for upload_files_impl function\"\"\"\n\n    @pytest.mark.asyncio\n    async def test_upload_files_impl_local_success(self):\n        \"\"\"Test successful local file upload\"\"\"\n        # Create mock UploadFile\n        mock_file = MagicMock()\n        mock_file.filename = \"test.txt\"\n        mock_file.read = AsyncMock(return_value=b\"test content\")\n        mock_file.seek = AsyncMock()\n\n        with patch('backend.services.file_management_service.save_upload_file', AsyncMock(return_value=True)) as mock_save:\n            # Execute\n            errors, uploaded_paths, uploaded_names = await upload_files_impl(\n                destination=\"local\", file=[mock_file])\n\n            # Assertions\n            assert errors == []\n            assert len(uploaded_paths) == 1\n            assert len(uploaded_names) == 1\n            assert uploaded_names[0] == \"test.txt\"\n            mock_save.assert_called_once()\n\n    @pytest.mark.asyncio\n    async def test_upload_files_impl_local_failure(self):\n        \"\"\"Test local file upload failure\"\"\"\n        # Create mock UploadFile\n        mock_file = MagicMock()\n        mock_file.filename = \"test.txt\"\n\n        with patch('backend.services.file_management_service.save_upload_file', AsyncMock(return_value=False)) as mock_save:\n            # Execute\n            errors, uploaded_paths, uploaded_names = await upload_files_impl(\n                destination=\"local\", file=[mock_file])\n\n            # Assertions\n            assert len(errors) == 1\n            assert \"Failed to save file: test.txt\" in errors[0]\n            assert uploaded_paths == []\n            assert uploaded_names == []\n\n    @pytest.mark.asyncio\n    async def test_upload_files_impl_local_empty_file(self):\n        \"\"\"Test local upload with empty or invalid file\"\"\"\n        # Create mock UploadFile with no filename\n        mock_file = MagicMock()\n        mock_file.filename = None\n\n        with patch('backend.services.file_management_service.save_upload_file', AsyncMock(return_value=True)) as mock_save:\n            # Execute\n            errors, uploaded_paths, uploaded_names = await upload_files_impl(\n                destination=\"local\", file=[mock_file])\n\n            # Assertions\n            assert errors == []\n            assert len(uploaded_paths) == 1\n            assert len(uploaded_names) == 1\n            assert uploaded_names[0] == \"\"\n            # Path ends with uploads directory\n            assert uploaded_paths[0].endswith(\"uploads\")\n            mock_save.assert_called_once()\n\n    @pytest.mark.asyncio\n    async def test_upload_files_impl_minio_success(self):\n        \"\"\"Test successful MinIO file upload\"\"\"\n        # Create mock UploadFile\n        mock_file = MagicMock()\n        mock_file.filename = \"test.txt\"\n        mock_file.read = AsyncMock(return_value=b\"test content\")\n        mock_file.seek = AsyncMock()\n\n        with patch('backend.services.file_management_service.upload_to_minio', AsyncMock(return_value=[\n            {\"success\": True, \"file_name\": \"test.txt\",\n                \"object_name\": \"folder/test.txt\"}\n        ])) as mock_upload:\n            # Execute\n            errors, uploaded_paths, uploaded_names = await upload_files_impl(\n                destination=\"minio\", file=[mock_file], folder=\"folder\")\n\n            # Assertions\n            assert errors == []\n            assert len(uploaded_paths) == 1\n            assert len(uploaded_names) == 1\n            assert uploaded_names[0] == \"test.txt\"\n            assert uploaded_paths[0] == \"folder/test.txt\"\n            mock_upload.assert_called_once_with(\n                files=[mock_file], folder=\"folder\")\n\n    @pytest.mark.asyncio\n    async def test_upload_files_impl_minio_failure(self):\n        \"\"\"Test MinIO file upload failure\"\"\"\n        # Create mock UploadFile\n        mock_file = MagicMock()\n        mock_file.filename = \"test.txt\"\n        mock_file.read = AsyncMock(return_value=b\"test content\")\n        mock_file.seek = AsyncMock()\n\n        with patch('backend.services.file_management_service.upload_to_minio', AsyncMock(return_value=[\n            {\"success\": False, \"file_name\": \"test.txt\", \"error\": \"Upload failed\"}\n        ])) as mock_upload:\n            # Execute\n            errors, uploaded_paths, uploaded_names = await upload_files_impl(\n                destination=\"minio\", file=[mock_file], folder=\"folder\")\n\n            # Assertions\n            assert len(errors) == 1\n            assert \"Failed to upload test.txt: Upload failed\" in errors[0]\n            assert uploaded_paths == []\n            assert uploaded_names == []\n\n    @pytest.mark.asyncio\n    async def test_upload_files_impl_minio_unknown_error(self):\n        \"\"\"Test MinIO file upload with unknown error\"\"\"\n        # Create mock UploadFile\n        mock_file = MagicMock()\n        mock_file.filename = \"test.txt\"\n        mock_file.read = AsyncMock(return_value=b\"test content\")\n        mock_file.seek = AsyncMock()\n\n        with patch('backend.services.file_management_service.upload_to_minio', AsyncMock(return_value=[\n            {\"success\": False, \"file_name\": \"test.txt\"}\n        ])) as mock_upload:\n            # Execute\n            errors, uploaded_paths, uploaded_names = await upload_files_impl(\n                destination=\"minio\", file=[mock_file], folder=\"folder\")\n\n            # Assertions\n            assert len(errors) == 1\n            assert \"Failed to upload test.txt: Unknown error\" in errors[0]\n            assert uploaded_paths == []\n            assert uploaded_names == []\n\n    @pytest.mark.asyncio\n    async def test_upload_files_impl_invalid_destination(self):\n        \"\"\"Test upload with invalid destination\"\"\"\n        mock_file = MagicMock()\n        mock_file.filename = \"test.txt\"\n\n        # Execute and assert exception\n        with pytest.raises(Exception) as exc_info:\n            await upload_files_impl(destination=\"invalid\", file=[mock_file])\n\n        # Assertions\n        assert \"Invalid destination. Must be 'local' or 'minio'.\" in str(\n            exc_info.value)\n\n    @pytest.mark.asyncio\n    async def test_upload_files_impl_multiple_files_mixed_results(self):\n        \"\"\"Test upload with multiple files having mixed success/failure results\"\"\"\n        # Create mock UploadFiles\n        mock_file1 = MagicMock()\n        mock_file1.filename = \"test1.txt\"\n        mock_file1.read = AsyncMock(return_value=b\"test content 1\")\n        mock_file1.seek = AsyncMock()\n\n        mock_file2 = MagicMock()\n        mock_file2.filename = \"test2.txt\"\n        mock_file2.read = AsyncMock(return_value=b\"test content 2\")\n        mock_file2.seek = AsyncMock()\n\n        with patch('backend.services.file_management_service.upload_to_minio', AsyncMock(return_value=[\n            {\"success\": True, \"file_name\": \"test1.txt\",\n                \"object_name\": \"folder/test1.txt\"},\n            {\"success\": False, \"file_name\": \"test2.txt\", \"error\": \"Upload failed\"}\n        ])) as mock_upload:\n            # Execute\n            errors, uploaded_paths, uploaded_names = await upload_files_impl(\n                destination=\"minio\", file=[mock_file1, mock_file2], folder=\"folder\")\n\n            # Assertions\n            assert len(errors) == 1\n            assert \"Failed to upload test2.txt: Upload failed\" in errors[0]\n            assert len(uploaded_paths) == 1\n            assert len(uploaded_names) == 1\n            assert uploaded_names[0] == \"test1.txt\"\n            assert uploaded_paths[0] == \"folder/test1.txt\"\n\n    @pytest.mark.asyncio\n    async def test_upload_files_impl_minio_conflict_resolution(self):\n        \"\"\"When index_name is provided, filenames should be made unique against existing ES docs.\"\"\"\n        # Create mock UploadFiles\n        mock_file1 = MagicMock()\n        mock_file1.filename = \"test.txt\"\n        mock_file2 = MagicMock()\n        mock_file2.filename = \"doc.pdf\"\n\n        # uploaded results echo original names\n        minio_return = [\n            {\"success\": True, \"file_name\": \"test.txt\",\n                \"object_name\": \"folder/test.txt\"},\n            {\"success\": True, \"file_name\": \"doc.pdf\",\n                \"object_name\": \"folder/doc.pdf\"},\n        ]\n\n        existing = {\n            \"files\": [\n                {\"file\": \"test.txt\"},\n                {\"filename\": \"doc.pdf\"},\n            ]\n        }\n\n        with patch('backend.services.file_management_service.upload_to_minio', AsyncMock(return_value=minio_return)) as mock_upload, \\\n                patch('backend.services.file_management_service.get_vector_db_core', MagicMock()) as mock_vdb_core, \\\n                patch('backend.services.file_management_service.ElasticSearchService.list_files', AsyncMock(return_value=existing)) as mock_list:\n\n            errors, uploaded_paths, uploaded_names = await upload_files_impl(\n                destination=\"minio\", file=[mock_file1, mock_file2], folder=\"folder\", index_name=\"kb1\")\n\n            assert errors == []\n            assert uploaded_paths == [\"folder/test.txt\", \"folder/doc.pdf\"]\n            # Both collide; expect suffixed names\n            assert uploaded_names == [\"test_1.txt\", \"doc_1.pdf\"]\n            mock_upload.assert_called_once()\n            mock_list.assert_called_once()\n\n    @pytest.mark.asyncio\n    async def test_upload_files_impl_minio_conflict_resolution_case_insensitive_duplicates(self):\n        \"\"\"Case-insensitive uniqueness across existing and within-batch duplicates.\"\"\"\n        mock_file1 = MagicMock()\n        mock_file1.filename = \"DOC.PDF\"\n        mock_file2 = MagicMock()\n        mock_file2.filename = \"doc.pdf\"\n\n        minio_return = [\n            {\"success\": True, \"file_name\": \"DOC.PDF\",\n                \"object_name\": \"folder/DOC.PDF\"},\n            {\"success\": True, \"file_name\": \"doc.pdf\",\n                \"object_name\": \"folder/doc.pdf\"},\n        ]\n\n        existing = {\"files\": [{\"file\": \"doc.pdf\"}]}\n\n        with patch('backend.services.file_management_service.upload_to_minio', AsyncMock(return_value=minio_return)), \\\n                patch('backend.services.file_management_service.get_vector_db_core', MagicMock()), \\\n                patch('backend.services.file_management_service.ElasticSearchService.list_files', AsyncMock(return_value=existing)):\n\n            errors, uploaded_paths, uploaded_names = await upload_files_impl(\n                destination=\"minio\", file=[mock_file1, mock_file2], folder=\"folder\", index_name=\"kb1\")\n\n            assert errors == []\n            assert uploaded_paths == [\"folder/DOC.PDF\", \"folder/doc.pdf\"]\n            # First collides with existing -> _1; second collides with both existing and first -> _2\n            assert uploaded_names == [\"DOC_1.PDF\", \"doc_2.pdf\"]\n\n    @pytest.mark.asyncio\n    async def test_upload_files_impl_minio_conflict_resolution_es_exception(self):\n        \"\"\"If ES lookup fails, service should warn and leave names unchanged.\"\"\"\n        mock_file = MagicMock()\n        mock_file.filename = \"a.txt\"\n\n        minio_return = [\n            {\"success\": True, \"file_name\": \"a.txt\", \"object_name\": \"folder/a.txt\"},\n        ]\n\n        with patch('backend.services.file_management_service.upload_to_minio', AsyncMock(return_value=minio_return)), \\\n                patch('backend.services.file_management_service.get_vector_db_core', MagicMock()), \\\n                patch('backend.services.file_management_service.ElasticSearchService.list_files', AsyncMock(side_effect=Exception(\"boom\"))), \\\n                patch('backend.services.file_management_service.logger') as mock_logger:\n\n            errors, uploaded_paths, uploaded_names = await upload_files_impl(\n                destination=\"minio\", file=[mock_file], folder=\"folder\", index_name=\"kb1\")\n\n            assert errors == []\n            assert uploaded_paths == [\"folder/a.txt\"]\n            assert uploaded_names == [\"a.txt\"]\n            mock_logger.warning.assert_called()\n\n\nclass TestUploadToMinio:\n    \"\"\"Test cases for upload_to_minio function\"\"\"\n\n    @pytest.mark.asyncio\n    async def test_upload_to_minio_success(self):\n        \"\"\"Test successful MinIO file upload\"\"\"\n        # Create mock UploadFile\n        mock_file = MagicMock()\n        mock_file.filename = \"test.txt\"\n        mock_file.read = AsyncMock(return_value=b\"test content\")\n        mock_file.seek = AsyncMock()\n\n        with patch('backend.services.file_management_service.upload_fileobj', MagicMock(return_value={\n            \"success\": True, \"file_name\": \"test.txt\", \"object_name\": \"folder/test.txt\"\n        })) as mock_upload:\n            # Execute\n            results = await upload_to_minio(files=[mock_file], folder=\"folder\")\n\n            # Assertions\n            assert len(results) == 1\n            assert results[0][\"success\"] is True\n            assert results[0][\"file_name\"] == \"test.txt\"\n            assert results[0][\"object_name\"] == \"folder/test.txt\"\n            mock_file.read.assert_called_once()\n            mock_file.seek.assert_called_once_with(0)\n            mock_upload.assert_called_once()\n\n    @pytest.mark.asyncio\n    async def test_upload_to_minio_file_read_exception(self):\n        \"\"\"Test MinIO upload with file read exception\"\"\"\n        # Create mock UploadFile that raises exception on read\n        mock_file = MagicMock()\n        mock_file.filename = \"test.txt\"\n        mock_file.read = AsyncMock(side_effect=Exception(\"Read error\"))\n\n        with patch('backend.services.file_management_service.logger', MagicMock()) as mock_logger:\n            # Execute\n            results = await upload_to_minio(files=[mock_file], folder=\"folder\")\n\n            # Assertions\n            assert len(results) == 1\n            assert results[0][\"success\"] is False\n            assert results[0][\"file_name\"] == \"test.txt\"\n            assert results[0][\"error\"] == \"An error occurred while processing the file.\"\n            mock_logger.error.assert_called_once()\n\n    @pytest.mark.asyncio\n    async def test_upload_to_minio_upload_exception(self):\n        \"\"\"Test MinIO upload with upload_fileobj exception\"\"\"\n        # Create mock UploadFile\n        mock_file = MagicMock()\n        mock_file.filename = \"test.txt\"\n        mock_file.read = AsyncMock(return_value=b\"test content\")\n        mock_file.seek = AsyncMock()\n\n        with patch('backend.services.file_management_service.upload_fileobj', MagicMock(side_effect=Exception(\"Upload error\"))) as mock_upload, \\\n                patch('backend.services.file_management_service.logger', MagicMock()) as mock_logger:\n            # Execute\n            results = await upload_to_minio(files=[mock_file], folder=\"folder\")\n\n            # Assertions\n            assert len(results) == 1\n            assert results[0][\"success\"] is False\n            assert results[0][\"file_name\"] == \"test.txt\"\n            assert results[0][\"error\"] == \"An error occurred while processing the file.\"\n            mock_file.read.assert_called_once()\n            # seek is not called when upload_fileobj throws exception\n            mock_file.seek.assert_not_called()\n            mock_logger.error.assert_called_once()\n\n    @pytest.mark.asyncio\n    async def test_upload_to_minio_empty_filename(self):\n        \"\"\"Test MinIO upload with empty filename\"\"\"\n        # Create mock UploadFile with empty filename\n        mock_file = MagicMock()\n        mock_file.filename = None\n        mock_file.read = AsyncMock(return_value=b\"test content\")\n        mock_file.seek = AsyncMock()\n\n        with patch('backend.services.file_management_service.upload_fileobj', MagicMock(return_value={\n            \"success\": True, \"file_name\": \"\", \"object_name\": \"folder/\"\n        })) as mock_upload:\n            # Execute\n            results = await upload_to_minio(files=[mock_file], folder=\"folder\")\n\n            # Assertions\n            assert len(results) == 1\n            assert results[0][\"success\"] is True\n            assert results[0][\"file_name\"] == \"\"\n            mock_upload.assert_called_once()\n            # Verify that empty string was passed as filename\n            call_args = mock_upload.call_args\n            assert call_args[1][\"file_name\"] == \"\"\n\n    @pytest.mark.asyncio\n    async def test_upload_to_minio_multiple_files_mixed_results(self):\n        \"\"\"Test MinIO upload with multiple files having mixed success/failure results\"\"\"\n        # Create mock UploadFiles\n        mock_file1 = MagicMock()\n        mock_file1.filename = \"test1.txt\"\n        mock_file1.read = AsyncMock(return_value=b\"test content 1\")\n        mock_file1.seek = AsyncMock()\n\n        mock_file2 = MagicMock()\n        mock_file2.filename = \"test2.txt\"\n        mock_file2.read = AsyncMock(side_effect=Exception(\"Read error\"))\n\n        with patch('backend.services.file_management_service.upload_fileobj', MagicMock(return_value={\n            \"success\": True, \"file_name\": \"test1.txt\", \"object_name\": \"folder/test1.txt\"\n        })) as mock_upload, \\\n                patch('backend.services.file_management_service.logger', MagicMock()) as mock_logger:\n            # Execute\n            results = await upload_to_minio(files=[mock_file1, mock_file2], folder=\"folder\")\n\n            # Assertions\n            assert len(results) == 2\n\n            # First file success\n            assert results[0][\"success\"] is True\n            assert results[0][\"file_name\"] == \"test1.txt\"\n\n            # Second file failure\n            assert results[1][\"success\"] is False\n            assert results[1][\"file_name\"] == \"test2.txt\"\n            assert results[1][\"error\"] == \"An error occurred while processing the file.\"\n\n            mock_upload.assert_called_once()  # Only called for successful file\n            mock_logger.error.assert_called_once()  # Called for failed file\n\n    @pytest.mark.asyncio\n    async def test_upload_to_minio_seek_exception(self):\n        \"\"\"Test MinIO upload with seek exception after successful upload\"\"\"\n        # Create mock UploadFile\n        mock_file = MagicMock()\n        mock_file.filename = \"test.txt\"\n        mock_file.read = AsyncMock(return_value=b\"test content\")\n        mock_file.seek = AsyncMock(side_effect=Exception(\"Seek error\"))\n\n        with patch('backend.services.file_management_service.upload_fileobj', MagicMock(return_value={\n            \"success\": True, \"file_name\": \"test.txt\", \"object_name\": \"folder/test.txt\"\n        })) as mock_upload, \\\n                patch('backend.services.file_management_service.logger', MagicMock()) as mock_logger:\n            # Execute\n            results = await upload_to_minio(files=[mock_file], folder=\"folder\")\n\n            # Assertions\n            assert len(results) == 1\n            assert results[0][\"success\"] is False\n            assert results[0][\"file_name\"] == \"test.txt\"\n            assert results[0][\"error\"] == \"An error occurred while processing the file.\"\n            mock_file.read.assert_called_once()\n            mock_file.seek.assert_called_once_with(0)\n            mock_logger.error.assert_called_once()\n\n\nclass TestGetFileUrlImpl:\n    \"\"\"Test cases for get_file_url_impl function\"\"\"\n\n    @pytest.mark.asyncio\n    async def test_get_file_url_impl_success(self):\n        \"\"\"Test successful file URL retrieval\"\"\"\n        # Mock successful result\n        mock_result = {\n            \"success\": True,\n            \"url\": \"https://example.com/file.txt\",\n            \"expires\": 3600\n        }\n\n        with patch('backend.services.file_management_service.get_file_url', MagicMock(return_value=mock_result)) as mock_get_url:\n            # Execute\n            result = await get_file_url_impl(object_name=\"test/file.txt\", expires=3600)\n\n            # Assertions\n            assert result == mock_result\n            assert result[\"success\"] is True\n            assert result[\"url\"] == \"https://example.com/file.txt\"\n            mock_get_url.assert_called_once_with(\n                object_name=\"test/file.txt\", expires=3600)\n\n    @pytest.mark.asyncio\n    async def test_get_file_url_impl_failure(self):\n        \"\"\"Test file URL retrieval failure\"\"\"\n        # Mock failed result\n        mock_result = {\n            \"success\": False,\n            \"error\": \"File not found\"\n        }\n\n        with patch('backend.services.file_management_service.get_file_url', MagicMock(return_value=mock_result)) as mock_get_url:\n            # Execute and assert exception\n            with pytest.raises(Exception) as exc_info:\n                await get_file_url_impl(object_name=\"nonexistent/file.txt\", expires=3600)\n\n            # Assertions\n            assert \"File does not exist or cannot be accessed: File not found\" in str(\n                exc_info.value)\n            mock_get_url.assert_called_once_with(\n                object_name=\"nonexistent/file.txt\", expires=3600)\n\n\nclass TestGetFileStreamImpl:\n    \"\"\"Test cases for get_file_stream_impl function\"\"\"\n\n    @pytest.mark.asyncio\n    async def test_get_file_stream_impl_success(self):\n        \"\"\"Test successful file stream retrieval\"\"\"\n        # Mock successful result\n        mock_file_stream = BytesIO(b\"test file content\")\n        mock_content_type = \"text/plain\"\n\n        with patch('backend.services.file_management_service.get_file_stream', MagicMock(return_value=mock_file_stream)) as mock_get_stream, \\\n                patch('backend.services.file_management_service.get_content_type', MagicMock(return_value=mock_content_type)) as mock_get_type:\n            # Execute\n            file_stream, content_type = await get_file_stream_impl(object_name=\"test/file.txt\")\n\n            # Assertions\n            assert file_stream == mock_file_stream\n            assert content_type == mock_content_type\n            mock_get_stream.assert_called_once_with(\n                object_name=\"test/file.txt\")\n            mock_get_type.assert_called_once_with(\"test/file.txt\")\n\n    @pytest.mark.asyncio\n    async def test_get_file_stream_impl_failure(self):\n        \"\"\"Test file stream retrieval failure\"\"\"\n        # Mock failed result (None file stream)\n        with patch('backend.services.file_management_service.get_file_stream', MagicMock(return_value=None)) as mock_get_stream:\n            # Execute and assert exception\n            with pytest.raises(Exception) as exc_info:\n                await get_file_stream_impl(object_name=\"nonexistent/file.txt\")\n\n            # Assertions\n            assert \"File not found or failed to read from storage\" in str(\n                exc_info.value)\n            mock_get_stream.assert_called_once_with(\n                object_name=\"nonexistent/file.txt\")\n\n\nclass TestDeleteFileImpl:\n    \"\"\"Test cases for delete_file_impl function\"\"\"\n\n    @pytest.mark.asyncio\n    async def test_delete_file_impl_success(self):\n        \"\"\"Test successful file deletion\"\"\"\n        # Mock successful result\n        mock_result = {\n            \"success\": True,\n            \"message\": \"File deleted successfully\"\n        }\n\n        with patch('backend.services.file_management_service.delete_file', MagicMock(return_value=mock_result)) as mock_delete:\n            # Execute\n            result = await delete_file_impl(object_name=\"test/file.txt\")\n\n            # Assertions\n            assert result == mock_result\n            assert result[\"success\"] is True\n            assert result[\"message\"] == \"File deleted successfully\"\n            mock_delete.assert_called_once_with(object_name=\"test/file.txt\")\n\n    @pytest.mark.asyncio\n    async def test_delete_file_impl_failure(self):\n        \"\"\"Test file deletion failure\"\"\"\n        # Mock failed result\n        mock_result = {\n            \"success\": False,\n            \"error\": \"File not found\"\n        }\n\n        with patch('backend.services.file_management_service.delete_file', MagicMock(return_value=mock_result)) as mock_delete:\n            # Execute and assert exception\n            with pytest.raises(Exception) as exc_info:\n                await delete_file_impl(object_name=\"nonexistent/file.txt\")\n\n            # Assertions\n            assert \"File does not exist or deletion failed: File not found\" in str(\n                exc_info.value)\n            mock_delete.assert_called_once_with(\n                object_name=\"nonexistent/file.txt\")\n\n\nclass TestListFilesImpl:\n    \"\"\"Test cases for list_files_impl function\"\"\"\n\n    @pytest.mark.asyncio\n    async def test_list_files_impl_without_limit(self):\n        \"\"\"Test file listing without limit\"\"\"\n        # Mock file list\n        mock_files = [\n            {\"name\": \"folder/file1.txt\", \"size\": 1024},\n            {\"name\": \"folder/file2.txt\", \"size\": 2048},\n            {\"name\": \"folder/file3.txt\", \"size\": 1536}\n        ]\n\n        with patch('backend.services.file_management_service.list_files', MagicMock(return_value=mock_files)) as mock_list:\n            # Execute\n            result = await list_files_impl(prefix=\"folder/\")\n\n            # Assertions\n            assert result == mock_files\n            assert len(result) == 3\n            mock_list.assert_called_once_with(prefix=\"folder/\")\n\n    @pytest.mark.asyncio\n    async def test_list_files_impl_with_limit(self):\n        \"\"\"Test file listing with limit\"\"\"\n        # Mock file list\n        mock_files = [\n            {\"name\": \"folder/file1.txt\", \"size\": 1024},\n            {\"name\": \"folder/file2.txt\", \"size\": 2048},\n            {\"name\": \"folder/file3.txt\", \"size\": 1536},\n            {\"name\": \"folder/file4.txt\", \"size\": 512}\n        ]\n\n        with patch('backend.services.file_management_service.list_files', MagicMock(return_value=mock_files)) as mock_list:\n            # Execute\n            result = await list_files_impl(prefix=\"folder/\", limit=2)\n\n            # Assertions\n            assert len(result) == 2\n            assert result == mock_files[:2]\n            assert result[0][\"name\"] == \"folder/file1.txt\"\n            assert result[1][\"name\"] == \"folder/file2.txt\"\n            mock_list.assert_called_once_with(prefix=\"folder/\")\n\n\nclass TestEdgeCasesAndErrorHandling:\n    \"\"\"Test cases for edge cases and error handling scenarios\"\"\"\n\n    @pytest.mark.asyncio\n    async def test_upload_files_impl_with_none_file(self):\n        \"\"\"Test upload_files_impl with None file in list\"\"\"\n        # Create mock UploadFile\n        mock_file = MagicMock()\n        mock_file.filename = \"test.txt\"\n        mock_file.read = AsyncMock(return_value=b\"test content\")\n        mock_file.seek = AsyncMock()\n\n        with patch('backend.services.file_management_service.save_upload_file', AsyncMock(return_value=True)) as mock_save:\n            # Execute with None file in the list\n            errors, uploaded_paths, uploaded_names = await upload_files_impl(\n                destination=\"local\", file=[mock_file, None])\n\n            # Assertions\n            assert errors == []\n            assert len(uploaded_paths) == 1  # Only one file processed\n            assert len(uploaded_names) == 1\n            assert uploaded_names[0] == \"test.txt\"\n            mock_save.assert_called_once()\n\n    @pytest.mark.asyncio\n    async def test_upload_files_impl_with_empty_file_list(self):\n        \"\"\"Test upload_files_impl with empty file list\"\"\"\n        # Execute with empty file list\n        errors, uploaded_paths, uploaded_names = await upload_files_impl(\n            destination=\"local\", file=[])\n\n        # Assertions\n        assert errors == []\n        assert uploaded_paths == []\n        assert uploaded_names == []\n\n    @pytest.mark.asyncio\n    async def test_upload_to_minio_with_empty_file_list(self):\n        \"\"\"Test upload_to_minio with empty file list\"\"\"\n        # Execute with empty file list\n        results = await upload_to_minio(files=[], folder=\"folder\")\n\n        # Assertions\n        assert results == []\n\n    @pytest.mark.asyncio\n    async def test_list_files_impl_with_none_limit(self):\n        \"\"\"Test list_files_impl with None limit\"\"\"\n        # Mock file list\n        mock_files = [\n            {\"name\": \"folder/file1.txt\", \"size\": 1024},\n            {\"name\": \"folder/file2.txt\", \"size\": 2048},\n            {\"name\": \"folder/file3.txt\", \"size\": 1536}\n        ]\n\n        with patch('backend.services.file_management_service.list_files', MagicMock(return_value=mock_files)) as mock_list:\n            # Execute with None limit\n            result = await list_files_impl(prefix=\"folder/\", limit=None)\n\n            # Assertions\n            assert result == mock_files\n            assert len(result) == 3\n            mock_list.assert_called_once_with(prefix=\"folder/\")\n\n    @pytest.mark.asyncio\n    async def test_list_files_impl_with_limit_larger_than_files(self):\n        \"\"\"Test list_files_impl with limit larger than available files\"\"\"\n        # Mock file list\n        mock_files = [\n            {\"name\": \"folder/file1.txt\", \"size\": 1024},\n            {\"name\": \"folder/file2.txt\", \"size\": 2048}\n        ]\n\n        with patch('backend.services.file_management_service.list_files', MagicMock(return_value=mock_files)) as mock_list:\n            # Execute with limit larger than available files\n            result = await list_files_impl(prefix=\"folder/\", limit=10)\n\n            # Assertions\n            assert result == mock_files\n            assert len(result) == 2\n            mock_list.assert_called_once_with(prefix=\"folder/\")\n\n\nclass TestConcurrencyAndFileTypes:\n    \"\"\"Test cases for concurrency control and file type handling\"\"\"\n\n    @pytest.mark.asyncio\n    async def test_upload_files_impl_semaphore_usage(self):\n        \"\"\"Test that upload_files_impl uses semaphore for local uploads\"\"\"\n        # Create mock UploadFile\n        mock_file = MagicMock()\n        mock_file.filename = \"test.txt\"\n        mock_file.read = AsyncMock(return_value=b\"test content\")\n        mock_file.seek = AsyncMock()\n\n        with patch('backend.services.file_management_service.save_upload_file', AsyncMock(return_value=True)) as mock_save, \\\n             patch('backend.services.file_management_service.upload_semaphore') as mock_semaphore:\n\n            # Mock semaphore context manager\n            mock_semaphore.__aenter__ = AsyncMock()\n            mock_semaphore.__aexit__ = AsyncMock()\n\n            # Execute\n            errors, uploaded_paths, uploaded_names = await upload_files_impl(\n                destination=\"local\", file=[mock_file])\n\n            # Assertions\n            assert errors == []\n            assert len(uploaded_paths) == 1\n            assert len(uploaded_names) == 1\n            mock_save.assert_called_once()\n            # Verify semaphore was used\n            mock_semaphore.__aenter__.assert_called_once()\n            mock_semaphore.__aexit__.assert_called_once()\n\n    @pytest.mark.asyncio\n    async def test_upload_files_impl_no_semaphore_for_minio(self):\n        \"\"\"Test that upload_files_impl doesn't use semaphore for MinIO uploads\"\"\"\n        # Create mock UploadFile\n        mock_file = MagicMock()\n        mock_file.filename = \"test.txt\"\n        mock_file.read = AsyncMock(return_value=b\"test content\")\n        mock_file.seek = AsyncMock()\n\n        with patch('backend.services.file_management_service.upload_to_minio', AsyncMock(return_value=[\n            {\"success\": True, \"file_name\": \"test.txt\", \"object_name\": \"folder/test.txt\"}\n        ])) as mock_upload, \\\n             patch('backend.services.file_management_service.upload_semaphore') as mock_semaphore:\n\n            # Execute\n            errors, uploaded_paths, uploaded_names = await upload_files_impl(\n                destination=\"minio\", file=[mock_file], folder=\"folder\")\n\n            # Assertions\n            assert errors == []\n            assert len(uploaded_paths) == 1\n            mock_upload.assert_called_once()\n            # Verify semaphore was NOT used for MinIO\n            mock_semaphore.__aenter__.assert_not_called()\n            mock_semaphore.__aexit__.assert_not_called()\n\n    @pytest.mark.asyncio\n    async def test_upload_to_minio_with_none_folder(self):\n        \"\"\"Test upload_to_minio with None folder\"\"\"\n        # Create mock UploadFile\n        mock_file = MagicMock()\n        mock_file.filename = \"test.txt\"\n        mock_file.read = AsyncMock(return_value=b\"test content\")\n        mock_file.seek = AsyncMock()\n\n        with patch('backend.services.file_management_service.upload_fileobj', MagicMock(return_value={\n            \"success\": True, \"file_name\": \"test.txt\", \"object_name\": \"test.txt\"\n        })) as mock_upload:\n            # Execute with None folder\n            results = await upload_to_minio(files=[mock_file], folder=None)\n\n            # Assertions\n            assert len(results) == 1\n            assert results[0][\"success\"] is True\n            assert results[0][\"file_name\"] == \"test.txt\"\n            mock_upload.assert_called_once()\n            # Verify that None was passed as prefix\n            call_args = mock_upload.call_args\n            assert call_args[1][\"prefix\"] is None\n\n    @pytest.mark.asyncio\n    async def test_upload_to_minio_with_empty_folder(self):\n        \"\"\"Test upload_to_minio with empty folder string\"\"\"\n        # Create mock UploadFile\n        mock_file = MagicMock()\n        mock_file.filename = \"test.txt\"\n        mock_file.read = AsyncMock(return_value=b\"test content\")\n        mock_file.seek = AsyncMock()\n\n        with patch('backend.services.file_management_service.upload_fileobj', MagicMock(return_value={\n            \"success\": True, \"file_name\": \"test.txt\", \"object_name\": \"test.txt\"\n        })) as mock_upload:\n            # Execute with empty folder\n            results = await upload_to_minio(files=[mock_file], folder=\"\")\n\n            # Assertions\n            assert len(results) == 1\n            assert results[0][\"success\"] is True\n            assert results[0][\"file_name\"] == \"test.txt\"\n            mock_upload.assert_called_once()\n            # Verify that empty string was passed as prefix\n            call_args = mock_upload.call_args\n            assert call_args[1][\"prefix\"] == \"\"\n\n\nclass TestGetLlmModel:\n    \"\"\"Test cases for get_llm_model function\"\"\"\n\n    @patch('backend.services.file_management_service.MODEL_CONFIG_MAPPING', {\"llm\": \"llm_config_key\"})\n    @patch('backend.services.file_management_service.MessageObserver')\n    @patch('backend.services.file_management_service.OpenAILongContextModel')\n    @patch('backend.services.file_management_service.get_model_name_from_config')\n    @patch('backend.services.file_management_service.tenant_config_manager')\n    def test_get_llm_model_success(self, mock_tenant_config, mock_get_model_name, mock_openai_model, mock_message_observer):\n        \"\"\"Test successful LLM model retrieval\"\"\"\n        from backend.services.file_management_service import get_llm_model\n\n        # Mock tenant config manager\n        mock_config = {\n            \"base_url\": \"http://api.example.com\",\n            \"api_key\": \"test_api_key\",\n            \"max_tokens\": 4096\n        }\n        mock_tenant_config.get_model_config.return_value = mock_config\n\n        # Mock model name\n        mock_get_model_name.return_value = \"gpt-4\"\n\n        # Mock MessageObserver\n        mock_observer_instance = Mock()\n        mock_message_observer.return_value = mock_observer_instance\n\n        # Mock OpenAILongContextModel\n        mock_model_instance = Mock()\n        mock_openai_model.return_value = mock_model_instance\n\n        # Execute\n        result = get_llm_model(\"tenant123\")\n\n        # Assertions\n        assert result == mock_model_instance\n        mock_tenant_config.get_model_config.assert_called_once_with(\n            key=\"llm_config_key\", tenant_id=\"tenant123\")\n        mock_get_model_name.assert_called_once_with(mock_config)\n        mock_message_observer.assert_called_once()\n        mock_openai_model.assert_called_once_with(\n            observer=mock_observer_instance,\n            model_id=\"gpt-4\",\n            api_base=\"http://api.example.com\",\n            api_key=\"test_api_key\",\n            max_context_tokens=4096,\n            ssl_verify=True\n        )\n\n    @patch('backend.services.file_management_service.MODEL_CONFIG_MAPPING', {\"llm\": \"llm_config_key\"})\n    @patch('backend.services.file_management_service.MessageObserver')\n    @patch('backend.services.file_management_service.OpenAILongContextModel')\n    @patch('backend.services.file_management_service.get_model_name_from_config')\n    @patch('backend.services.file_management_service.tenant_config_manager')\n    def test_get_llm_model_with_missing_config_values(self, mock_tenant_config, mock_get_model_name, mock_openai_model, mock_message_observer):\n        \"\"\"Test get_llm_model with missing config values\"\"\"\n        from backend.services.file_management_service import get_llm_model\n\n        # Mock tenant config manager with missing values\n        mock_config = {\n            \"base_url\": \"http://api.example.com\"\n            # Missing api_key and max_tokens\n        }\n        mock_tenant_config.get_model_config.return_value = mock_config\n\n        # Mock model name\n        mock_get_model_name.return_value = \"gpt-4\"\n\n        # Mock MessageObserver\n        mock_observer_instance = Mock()\n        mock_message_observer.return_value = mock_observer_instance\n\n        # Mock OpenAILongContextModel\n        mock_model_instance = Mock()\n        mock_openai_model.return_value = mock_model_instance\n\n        # Execute\n        result = get_llm_model(\"tenant123\")\n\n        # Assertions\n        assert result == mock_model_instance\n        # Verify that get() is used for missing values (returns None)\n        mock_openai_model.assert_called_once()\n        call_kwargs = mock_openai_model.call_args[1]\n        assert call_kwargs[\"api_key\"] is None\n        assert call_kwargs[\"max_context_tokens\"] is None\n\n    @patch('backend.services.file_management_service.MODEL_CONFIG_MAPPING', {\"llm\": \"llm_config_key\"})\n    @patch('backend.services.file_management_service.MessageObserver')\n    @patch('backend.services.file_management_service.OpenAILongContextModel')\n    @patch('backend.services.file_management_service.get_model_name_from_config')\n    @patch('backend.services.file_management_service.tenant_config_manager')\n    def test_get_llm_model_with_different_tenant_ids(self, mock_tenant_config, mock_get_model_name, mock_openai_model, mock_message_observer):\n        \"\"\"Test get_llm_model with different tenant IDs\"\"\"\n        from backend.services.file_management_service import get_llm_model\n\n        # Mock tenant config manager\n        mock_config = {\n            \"base_url\": \"http://api.example.com\",\n            \"api_key\": \"test_api_key\",\n            \"max_tokens\": 4096\n        }\n        mock_tenant_config.get_model_config.return_value = mock_config\n\n        # Mock model name\n        mock_get_model_name.return_value = \"gpt-4\"\n\n        # Mock MessageObserver\n        mock_observer_instance = Mock()\n        mock_message_observer.return_value = mock_observer_instance\n\n        # Mock OpenAILongContextModel\n        mock_model_instance = Mock()\n        mock_openai_model.return_value = mock_model_instance\n\n        # Execute with different tenant IDs\n        result1 = get_llm_model(\"tenant1\")\n        result2 = get_llm_model(\"tenant2\")\n\n        # Assertions\n        assert result1 == mock_model_instance\n        assert result2 == mock_model_instance\n        # Verify tenant config was called with different tenant IDs\n        assert mock_tenant_config.get_model_config.call_count == 2\n        assert mock_tenant_config.get_model_config.call_args_list[0][1][\"tenant_id\"] == \"tenant1\"\n        assert mock_tenant_config.get_model_config.call_args_list[1][1][\"tenant_id\"] == \"tenant2\"\n\n\nclass TestPreviewFileImpl:\n    \"\"\"Test cases for preview_file_impl function\"\"\"\n\n    @pytest.mark.asyncio\n    async def test_preview_pdf_file_success(self):\n        \"\"\"Test previewing a PDF file returns stream directly\"\"\"\n        from backend.services.file_management_service import preview_file_impl\n        \n        mock_stream = BytesIO(b\"PDF content\")\n        \n        with patch('backend.services.file_management_service.get_content_type', return_value='application/pdf'), \\\n             patch('backend.services.file_management_service.get_file_stream', return_value=mock_stream):\n            \n            result_stream, result_type = await preview_file_impl(\"test/document.pdf\")\n            \n            assert result_type == 'application/pdf'\n            assert result_stream == mock_stream\n\n    @pytest.mark.asyncio\n    async def test_preview_image_file_success(self):\n        \"\"\"Test previewing an image file returns stream directly\"\"\"\n        from backend.services.file_management_service import preview_file_impl\n        \n        mock_stream = BytesIO(b\"PNG content\")\n        \n        with patch('backend.services.file_management_service.get_content_type', return_value='image/png'), \\\n             patch('backend.services.file_management_service.get_file_stream', return_value=mock_stream):\n            \n            result_stream, result_type = await preview_file_impl(\"test/image.png\")\n            \n            assert result_type == 'image/png'\n            assert result_stream == mock_stream\n\n    @pytest.mark.asyncio\n    async def test_preview_text_file_success(self):\n        \"\"\"Test previewing a text file returns stream directly\"\"\"\n        from backend.services.file_management_service import preview_file_impl\n        \n        mock_stream = BytesIO(b\"Text content\")\n        \n        with patch('backend.services.file_management_service.get_content_type', return_value='text/plain'), \\\n             patch('backend.services.file_management_service.get_file_stream', return_value=mock_stream):\n            \n            result_stream, result_type = await preview_file_impl(\"test/readme.txt\")\n            \n            assert result_type == 'text/plain'\n            assert result_stream == mock_stream\n\n    @pytest.mark.asyncio\n    async def test_preview_csv_file_success(self):\n        \"\"\"Test previewing a CSV file returns stream directly\"\"\"\n        from backend.services.file_management_service import preview_file_impl\n        \n        mock_stream = BytesIO(b\"col1,col2\\nval1,val2\")\n        \n        with patch('backend.services.file_management_service.get_content_type', return_value='text/csv'), \\\n             patch('backend.services.file_management_service.get_file_stream', return_value=mock_stream):\n            \n            result_stream, result_type = await preview_file_impl(\"test/data.csv\")\n            \n            assert result_type == 'text/csv'\n            assert result_stream == mock_stream\n\n    @pytest.mark.asyncio\n    async def test_preview_markdown_file_success(self):\n        \"\"\"Test previewing a Markdown file returns stream directly\"\"\"\n        from backend.services.file_management_service import preview_file_impl\n        \n        mock_stream = BytesIO(b\"# Heading\\nContent\")\n        \n        with patch('backend.services.file_management_service.get_content_type', return_value='text/markdown'), \\\n             patch('backend.services.file_management_service.get_file_stream', return_value=mock_stream):\n            \n            result_stream, result_type = await preview_file_impl(\"test/readme.md\")\n            \n            assert result_type == 'text/markdown'\n            assert result_stream == mock_stream\n\n    @pytest.mark.asyncio\n    async def test_preview_office_docx_with_cache_hit(self):\n        \"\"\"Test previewing a Word document with cached PDF available\"\"\"\n        from backend.services.file_management_service import preview_file_impl\n        \n        mock_pdf_stream = BytesIO(b\"Cached PDF content\")\n        \n        with patch('backend.services.file_management_service.get_content_type', \n                   return_value='application/vnd.openxmlformats-officedocument.wordprocessingml.document'), \\\n             patch('backend.services.file_management_service.file_exists', return_value=True), \\\n             patch('backend.services.file_management_service.get_file_stream', return_value=mock_pdf_stream):\n            \n            result_stream, result_type = await preview_file_impl(\"test/document.docx\")\n            \n            assert result_type == 'application/pdf'\n            assert result_stream == mock_pdf_stream\n\n    @pytest.mark.asyncio\n    async def test_preview_office_docx_cache_miss_convert_success(self):\n        \"\"\"Cache miss: delegates conversion to data-process via HTTP, then serves resulting PDF.\"\"\"\n        from backend.services.file_management_service import preview_file_impl\n\n        mock_pdf_stream = BytesIO(b\"%PDF-1.4 converted content\")\n\n        # Simulate data-process returning HTTP 200\n        mock_response = MagicMock()\n        mock_response.status_code = 200\n        mock_response.text = \"\"\n\n        mock_client = AsyncMock()\n        mock_client.post = AsyncMock(return_value=mock_response)\n\n        mock_http_ctx = MagicMock()\n        mock_http_ctx.__aenter__ = AsyncMock(return_value=mock_client)\n        mock_http_ctx.__aexit__ = AsyncMock(return_value=False)\n\n        with patch('backend.services.file_management_service.get_content_type',\n                   return_value='application/vnd.openxmlformats-officedocument.wordprocessingml.document'), \\\n             patch('backend.services.file_management_service.file_exists', return_value=False), \\\n             patch('backend.services.file_management_service.get_file_stream',\n                   return_value=mock_pdf_stream), \\\n             patch('httpx.AsyncClient', return_value=mock_http_ctx), \\\n             patch('backend.services.file_management_service.copy_file',\n                   return_value={'success': True}), \\\n             patch('backend.services.file_management_service.delete_file'):\n\n            result_stream, result_type = await preview_file_impl(\"test/document.docx\")\n\n            assert result_type == 'application/pdf'\n            assert result_stream == mock_pdf_stream\n            mock_client.post.assert_called_once()\n            url_called = mock_client.post.call_args[0][0]\n            assert \"convert_to_pdf\" in url_called\n\n    @pytest.mark.asyncio\n    async def test_preview_office_conversion_failure(self):\n        \"\"\"HTTP error from data-process service propagates as conversion failure.\"\"\"\n        from backend.services.file_management_service import preview_file_impl\n\n        # Simulate data-process returning HTTP 500\n        mock_response = MagicMock()\n        mock_response.status_code = 500\n        mock_response.text = \"Internal Server Error\"\n\n        mock_client = AsyncMock()\n        mock_client.post = AsyncMock(return_value=mock_response)\n\n        mock_http_ctx = MagicMock()\n        mock_http_ctx.__aenter__ = AsyncMock(return_value=mock_client)\n        mock_http_ctx.__aexit__ = AsyncMock(return_value=False)\n\n        with patch('backend.services.file_management_service.get_content_type',\n                   return_value='application/vnd.openxmlformats-officedocument.wordprocessingml.document'), \\\n             patch('backend.services.file_management_service.file_exists', return_value=False), \\\n             patch('httpx.AsyncClient', return_value=mock_http_ctx), \\\n             patch('backend.services.file_management_service.delete_file'):\n\n            with pytest.raises(Exception) as exc_info:\n                await preview_file_impl(\"test/document.docx\")\n\n            assert \"Failed to convert Office document to PDF\" in str(exc_info.value)\n\n    @pytest.mark.asyncio\n    async def test_preview_unsupported_file_type(self):\n        \"\"\"Test previewing an unsupported file type raises exception\"\"\"\n        from backend.services.file_management_service import preview_file_impl\n        \n        with patch('backend.services.file_management_service.get_content_type', \n                   return_value='application/octet-stream'):\n            \n            with pytest.raises(Exception) as exc_info:\n                await preview_file_impl(\"test/unknown.bin\")\n            \n            assert \"Unsupported file type for preview\" in str(exc_info.value)\n\n    @pytest.mark.asyncio\n    async def test_preview_file_not_found(self):\n        \"\"\"Test previewing a non-existent file raises exception\"\"\"\n        from backend.services.file_management_service import preview_file_impl\n        \n        with patch('backend.services.file_management_service.get_content_type', return_value='application/pdf'), \\\n             patch('backend.services.file_management_service.get_file_stream', return_value=None):\n            \n            with pytest.raises(Exception) as exc_info:\n                await preview_file_impl(\"test/nonexistent.pdf\")\n            \n            assert \"File not found\" in str(exc_info.value)\n\n    @pytest.mark.asyncio\n    async def test_preview_file_too_large(self):\n        \"\"\"Test that files exceeding FILE_PREVIEW_SIZE_LIMIT raise FileTooLargeException\"\"\"\n        from backend.services.file_management_service import preview_file_impl, FILE_PREVIEW_SIZE_LIMIT\n\n        oversized = FILE_PREVIEW_SIZE_LIMIT + 1\n        with patch('backend.services.file_management_service.get_file_size_from_minio', return_value=oversized):\n            with pytest.raises(Exception) as exc_info:\n                await preview_file_impl(\"test/large_file.pdf\")\n\n        assert str(FILE_PREVIEW_SIZE_LIMIT // (1024 * 1024)) in str(exc_info.value)\n\n    @pytest.mark.asyncio\n    @pytest.mark.parametrize(\"content_type,expected_direct\", [\n        ('application/pdf', True),\n        ('image/jpeg', True),\n        ('image/png', True),\n        ('image/gif', True),\n        ('image/webp', True),\n        ('text/plain', True),\n        ('text/csv', True),\n        ('text/markdown', True),\n        ('application/vnd.openxmlformats-officedocument.wordprocessingml.document', False),\n        ('application/vnd.openxmlformats-officedocument.spreadsheetml.sheet', False),\n        ('application/vnd.openxmlformats-officedocument.presentationml.presentation', False),\n        ('application/msword', False),\n        ('application/vnd.ms-excel', False),\n        ('application/vnd.ms-powerpoint', False),\n    ])\n    async def test_preview_file_type_routing(self, content_type, expected_direct):\n        \"\"\"Test that different file types are routed correctly\"\"\"\n        from backend.services.file_management_service import preview_file_impl\n        \n        mock_stream = BytesIO(b\"test content\")\n        get_stream_call_count = 0\n        \n        def mock_get_file_stream(object_name):\n            nonlocal get_stream_call_count\n            get_stream_call_count += 1\n            return mock_stream\n        \n        with patch('backend.services.file_management_service.get_content_type', return_value=content_type), \\\n             patch('backend.services.file_management_service.file_exists', return_value=True), \\\n             patch('backend.services.file_management_service.get_file_stream', side_effect=mock_get_file_stream):\n            \n            result_stream, result_type = await preview_file_impl(\"test/file\")\n            \n            assert result_stream == mock_stream\n            if expected_direct:\n                # Direct file types should call get_file_stream once\n                assert get_stream_call_count == 1\n                assert result_type == content_type\n            else:\n                # Office files return PDF type\n                assert result_type == 'application/pdf'\n\n\nclass TestGetCachedPdfStream:\n    \"\"\"Unit tests for _get_cached_pdf_stream helper.\"\"\"\n\n    def test_returns_stream_when_cache_valid(self):\n        \"\"\"Returns the stream when file exists and is readable.\"\"\"\n        from backend.services.file_management_service import _get_cached_pdf_stream\n\n        mock_stream = BytesIO(b\"%PDF-1.4\")\n        with patch('backend.services.file_management_service.file_exists', return_value=True), \\\n             patch('backend.services.file_management_service.get_file_stream', return_value=mock_stream):\n            result = _get_cached_pdf_stream(\"preview/converted/doc_abc12345.pdf\")\n            assert result is mock_stream\n\n    def test_returns_none_when_file_not_exist(self):\n        \"\"\"Returns None immediately when the cached file does not exist.\"\"\"\n        from backend.services.file_management_service import _get_cached_pdf_stream\n\n        with patch('backend.services.file_management_service.file_exists', return_value=False):\n            result = _get_cached_pdf_stream(\"preview/converted/doc_abc12345.pdf\")\n            assert result is None\n\n    def test_deletes_and_returns_none_when_cache_corrupted(self):\n        \"\"\"Deletes the corrupted cache entry and returns None when stream cannot be read.\"\"\"\n        from backend.services.file_management_service import _get_cached_pdf_stream\n\n        with patch('backend.services.file_management_service.file_exists', return_value=True), \\\n             patch('backend.services.file_management_service.get_file_stream', return_value=None), \\\n             patch('backend.services.file_management_service.delete_file') as mock_delete:\n            result = _get_cached_pdf_stream(\"preview/converted/doc_abc12345.pdf\")\n            assert result is None\n            mock_delete.assert_called_once_with(\"preview/converted/doc_abc12345.pdf\")\n\n\nclass TestConvertOfficeToCachedPdf:\n    \"\"\"Unit tests for _convert_office_to_cached_pdf helper.\"\"\"\n\n    @pytest.mark.asyncio\n    async def test_returns_stream_on_double_check_cache_hit(self):\n        \"\"\"If another coroutine completes conversion while we waited for the lock, serves from cache.\"\"\"\n        from backend.services.file_management_service import _convert_office_to_cached_pdf\n\n        mock_stream = BytesIO(b\"%PDF-1.4 already done\")\n        # file_exists returns False on the outer check but the helper is called after lock acquisition\n        with patch('backend.services.file_management_service._get_cached_pdf_stream',\n                   return_value=mock_stream):\n            result = await _convert_office_to_cached_pdf(\n                \"docs/report.docx\",\n                \"preview/converted/docs/report_deadbeef.pdf\",\n                \"preview/converting/docs/report_deadbeef.pdf.tmp\",\n            )\n            assert result is mock_stream\n\n    @pytest.mark.asyncio\n    async def test_full_conversion_success(self):\n        \"\"\"Happy path: calls data-process, copies result, deletes temp, returns stream.\"\"\"\n        from backend.services.file_management_service import _convert_office_to_cached_pdf\n\n        final_stream = BytesIO(b\"%PDF-1.4 fresh\")\n\n        mock_response = MagicMock()\n        mock_response.status_code = 200\n        mock_response.text = \"\"\n\n        mock_client = AsyncMock()\n        mock_client.post = AsyncMock(return_value=mock_response)\n\n        mock_http_ctx = MagicMock()\n        mock_http_ctx.__aenter__ = AsyncMock(return_value=mock_client)\n        mock_http_ctx.__aexit__ = AsyncMock(return_value=False)\n\n        with patch('backend.services.file_management_service._get_cached_pdf_stream',\n                   return_value=None), \\\n             patch('httpx.AsyncClient', return_value=mock_http_ctx), \\\n             patch('backend.services.file_management_service.copy_file',\n                   return_value={'success': True}), \\\n             patch('backend.services.file_management_service.delete_file') as mock_delete, \\\n             patch('backend.services.file_management_service.file_exists', return_value=False), \\\n             patch('backend.services.file_management_service.get_file_stream',\n                   return_value=final_stream):\n\n            result = await _convert_office_to_cached_pdf(\n                \"docs/report.docx\",\n                \"preview/converted/docs/report_deadbeef.pdf\",\n                \"preview/converting/docs/report_deadbeef.pdf.tmp\",\n            )\n\n        assert result is final_stream\n        mock_client.post.assert_called_once()\n        called_url = mock_client.post.call_args[0][0]\n        assert \"convert_to_pdf\" in called_url\n        # Temp file should be deleted after successful copy\n        mock_delete.assert_called_with(\"preview/converting/docs/report_deadbeef.pdf.tmp\")\n\n    @pytest.mark.asyncio\n    async def test_http_error_raises_office_conversion_exception(self):\n        \"\"\"Non-200 HTTP response from data-process raises OfficeConversionException.\"\"\"\n        from backend.services.file_management_service import _convert_office_to_cached_pdf\n        from consts.exceptions import OfficeConversionException\n\n        mock_response = MagicMock()\n        mock_response.status_code = 503\n        mock_response.text = \"Service Unavailable\"\n\n        mock_client = AsyncMock()\n        mock_client.post = AsyncMock(return_value=mock_response)\n\n        mock_http_ctx = MagicMock()\n        mock_http_ctx.__aenter__ = AsyncMock(return_value=mock_client)\n        mock_http_ctx.__aexit__ = AsyncMock(return_value=False)\n\n        with patch('backend.services.file_management_service._get_cached_pdf_stream',\n                   return_value=None), \\\n             patch('httpx.AsyncClient', return_value=mock_http_ctx), \\\n             patch('backend.services.file_management_service.file_exists', return_value=False), \\\n             patch('backend.services.file_management_service.delete_file'):\n\n            with pytest.raises(OfficeConversionException) as exc_info:\n                await _convert_office_to_cached_pdf(\n                    \"docs/report.docx\",\n                    \"preview/converted/docs/report_deadbeef.pdf\",\n                    \"preview/converting/docs/report_deadbeef.pdf.tmp\",\n                )\n\n        assert \"Failed to convert Office document to PDF\" in str(exc_info.value)\n        assert \"503\" in str(exc_info.value)\n\n    @pytest.mark.asyncio\n    async def test_copy_failure_raises_office_conversion_exception(self):\n        \"\"\"copy_file failure raises OfficeConversionException and cleans up temp file.\"\"\"\n        from backend.services.file_management_service import _convert_office_to_cached_pdf\n        from consts.exceptions import OfficeConversionException\n\n        mock_response = MagicMock()\n        mock_response.status_code = 200\n        mock_response.text = \"\"\n\n        mock_client = AsyncMock()\n        mock_client.post = AsyncMock(return_value=mock_response)\n\n        mock_http_ctx = MagicMock()\n        mock_http_ctx.__aenter__ = AsyncMock(return_value=mock_client)\n        mock_http_ctx.__aexit__ = AsyncMock(return_value=False)\n\n        with patch('backend.services.file_management_service._get_cached_pdf_stream',\n                   return_value=None), \\\n             patch('httpx.AsyncClient', return_value=mock_http_ctx), \\\n             patch('backend.services.file_management_service.copy_file',\n                   return_value={'success': False, 'error': 'bucket full'}), \\\n             patch('backend.services.file_management_service.file_exists', return_value=True), \\\n             patch('backend.services.file_management_service.delete_file') as mock_delete:\n\n            with pytest.raises(OfficeConversionException):\n                await _convert_office_to_cached_pdf(\n                    \"docs/report.docx\",\n                    \"preview/converted/docs/report_deadbeef.pdf\",\n                    \"preview/converting/docs/report_deadbeef.pdf.tmp\",\n                )\n\n        # Cleanup: temp file must be deleted on failure\n        mock_delete.assert_called_with(\"preview/converting/docs/report_deadbeef.pdf.tmp\")\n\n    @pytest.mark.asyncio\n    async def test_converted_pdf_not_readable_raises_not_found(self):\n        \"\"\"Raises NotFoundException when the final PDF cannot be read after successful conversion.\"\"\"\n        from backend.services.file_management_service import _convert_office_to_cached_pdf\n        from consts.exceptions import NotFoundException\n\n        mock_response = MagicMock()\n        mock_response.status_code = 200\n        mock_response.text = \"\"\n\n        mock_client = AsyncMock()\n        mock_client.post = AsyncMock(return_value=mock_response)\n\n        mock_http_ctx = MagicMock()\n        mock_http_ctx.__aenter__ = AsyncMock(return_value=mock_client)\n        mock_http_ctx.__aexit__ = AsyncMock(return_value=False)\n\n        with patch('backend.services.file_management_service._get_cached_pdf_stream',\n                   return_value=None), \\\n             patch('httpx.AsyncClient', return_value=mock_http_ctx), \\\n             patch('backend.services.file_management_service.copy_file',\n                   return_value={'success': True}), \\\n             patch('backend.services.file_management_service.delete_file'), \\\n             patch('backend.services.file_management_service.file_exists', return_value=False), \\\n             patch('backend.services.file_management_service.get_file_stream', return_value=None):\n\n            with pytest.raises(NotFoundException):\n                await _convert_office_to_cached_pdf(\n                    \"docs/report.docx\",\n                    \"preview/converted/docs/report_deadbeef.pdf\",\n                    \"preview/converting/docs/report_deadbeef.pdf.tmp\",\n                )\n\n    @pytest.mark.asyncio\n    async def test_reuses_existing_lock_for_same_object(self):\n        \"\"\"If a lock for object_name already exists, it is reused.\"\"\"\n        import asyncio as _asyncio\n        import backend.services.file_management_service as _svc\n        from backend.services.file_management_service import _convert_office_to_cached_pdf\n\n        existing_lock = _asyncio.Lock()\n        _svc._conversion_locks[\"docs/existing.docx\"] = existing_lock\n\n        mock_stream = BytesIO(b\"%PDF-1.4 cached\")\n        try:\n            with patch('backend.services.file_management_service._get_cached_pdf_stream',\n                       return_value=mock_stream):\n                result = await _convert_office_to_cached_pdf(\n                    \"docs/existing.docx\",\n                    \"preview/converted/docs/existing_aabbccdd.pdf\",\n                    \"preview/converting/docs/existing_aabbccdd.pdf.tmp\",\n                )\n        finally:\n            _svc._conversion_locks.pop(\"docs/existing.docx\", None)\n\n        assert result is mock_stream\n"
  },
  {
    "path": "test/backend/services/test_group_service.py",
    "content": "from consts.exceptions import NotFoundException, UnauthorizedError, ValidationError\nimport sys\nimport pytest\nfrom unittest.mock import patch, MagicMock\n\n# Mock external dependencies before importing\nsys.modules['psycopg2'] = MagicMock()\nsys.modules['boto3'] = MagicMock()\nsys.modules['supabase'] = MagicMock()\n\n# Patch storage factory and MinIO config validation to avoid errors during initialization\n# These patches must be started before any imports that use MinioClient\nstorage_client_mock = MagicMock()\nminio_client_mock = MagicMock()\npatch('nexent.storage.storage_client_factory.create_storage_client_from_config',\n      return_value=storage_client_mock).start()\npatch('nexent.storage.minio_config.MinIOStorageConfig.validate',\n      lambda self: None).start()\npatch('backend.database.client.MinioClient',\n      return_value=minio_client_mock).start()\n\n\nfrom backend.services.group_service import (\n    get_group_info,\n    get_groups_by_tenant,\n    get_tenant_default_group_id,\n    set_tenant_default_group_id,\n    create_group,\n    update_group,\n    delete_group,\n    add_user_to_single_group,\n    remove_user_from_single_group,\n    get_group_users,\n    get_group_user_count,\n    add_user_to_groups,\n    update_group_members\n)\n# These imports are used in the patch decorators, not directly in the test functions\n\n\n@pytest.fixture\ndef mock_user_info():\n    \"\"\"Mock user tenant information\"\"\"\n    return {\n        \"user_tenant_id\": 1,\n        \"user_id\": \"test_user\",\n        \"tenant_id\": \"test_tenant\",\n        \"user_role\": \"ADMIN\"\n    }\n\n\n@pytest.fixture\ndef mock_group_info():\n    \"\"\"Mock group information\"\"\"\n    return {\n        \"group_id\": 123,\n        \"tenant_id\": \"test_tenant\",\n        \"group_name\": \"Test Group\",\n        \"group_description\": \"Test group description\"\n    }\n\n\n@patch('backend.services.group_service.query_groups')\ndef test_get_group_info_single(mock_query_groups):\n    \"\"\"Test getting single group\"\"\"\n    mock_query_groups.return_value = {\n        \"group_id\": 123, \"group_name\": \"Test Group\"}\n\n    result = get_group_info(123)\n\n    assert result[\"group_id\"] == 123\n    assert result[\"group_name\"] == \"Test Group\"\n    mock_query_groups.assert_called_once_with(123)\n\n\n@patch('backend.services.group_service.query_groups')\ndef test_get_group_info_not_found(mock_query_groups):\n    \"\"\"Test getting non-existent group\"\"\"\n    mock_query_groups.return_value = None\n\n    with pytest.raises(NotFoundException, match=\"Group 123 not found\"):\n        get_group_info(123)\n\n\n@patch('backend.services.group_service.query_groups')\ndef test_get_group_info_multiple_groups(mock_query_groups):\n    \"\"\"Test getting multiple groups by list of IDs\"\"\"\n    mock_groups = [\n        {\"group_id\": 1, \"group_name\": \"Group 1\", \"group_description\": \"Desc 1\"},\n        {\"group_id\": 2, \"group_name\": \"Group 2\", \"group_description\": \"Desc 2\"}\n    ]\n    mock_query_groups.return_value = mock_groups\n\n    result = get_group_info([1, 2])\n\n    assert len(result) == 2\n    assert result[0][\"group_id\"] == 1\n    assert result[0][\"group_name\"] == \"Group 1\"\n    assert result[0][\"group_description\"] == \"Desc 1\"\n    assert result[1][\"group_id\"] == 2\n    assert result[1][\"group_name\"] == \"Group 2\"\n    assert result[1][\"group_description\"] == \"Desc 2\"\n    mock_query_groups.assert_called_once_with([1, 2])\n\n\n@patch('backend.services.group_service.query_groups')\ndef test_get_group_info_string_group_ids(mock_query_groups):\n    \"\"\"Test getting groups by comma-separated string of IDs\"\"\"\n    mock_groups = [\n        {\"group_id\": 1, \"group_name\": \"Group 1\", \"group_description\": \"Desc 1\"}\n    ]\n    mock_query_groups.return_value = mock_groups\n\n    result = get_group_info(\"1\")\n\n    assert len(result) == 1\n    assert result[0][\"group_id\"] == 1\n    assert result[0][\"group_name\"] == \"Group 1\"\n    assert result[0][\"group_description\"] == \"Desc 1\"\n    mock_query_groups.assert_called_once_with(\"1\")\n\n\n@patch('backend.services.group_service.count_group_users')\n@patch('backend.services.group_service.query_groups_by_tenant')\ndef test_get_groups_by_tenant_success_with_pagination(mock_query_groups_by_tenant, mock_count_users):\n    \"\"\"Test getting groups by tenant with pagination\"\"\"\n    mock_result = {\n        \"groups\": [\n            {\"group_id\": 1, \"group_name\": \"Group 1\", \"group_description\": \"Desc 1\"},\n            {\"group_id\": 2, \"group_name\": \"Group 2\", \"group_description\": \"Desc 2\"}\n        ],\n        \"total\": 2\n    }\n    mock_query_groups_by_tenant.return_value = mock_result\n    # Mock count_group_users to return different counts for each group\n    mock_count_users.side_effect = [5, 3]\n\n    result = get_groups_by_tenant(\"test_tenant\", page=1, page_size=10, sort_by=\"created_at\", sort_order=\"desc\")\n\n    assert result[\"total\"] == 2\n    assert len(result[\"groups\"]) == 2\n    assert result[\"groups\"][0][\"group_id\"] == 1\n    assert result[\"groups\"][0][\"group_name\"] == \"Group 1\"\n    assert result[\"groups\"][0][\"group_description\"] == \"Desc 1\"\n    assert result[\"groups\"][0][\"user_count\"] == 5  # Check user count\n    assert result[\"groups\"][1][\"group_id\"] == 2\n    assert result[\"groups\"][1][\"group_name\"] == \"Group 2\"\n    assert result[\"groups\"][1][\"group_description\"] == \"Desc 2\"\n    assert result[\"groups\"][1][\"user_count\"] == 3  # Check user count\n    mock_query_groups_by_tenant.assert_called_once_with(\"test_tenant\", 1, 10, \"created_at\", \"desc\")\n    # count_group_users should be called for each group\n    assert mock_count_users.call_count == 2\n\n\n@patch('backend.services.group_service.count_group_users')\n@patch('backend.services.group_service.query_groups_by_tenant')\ndef test_get_groups_by_tenant_success_without_pagination(mock_query_groups_by_tenant, mock_count_users):\n    \"\"\"Test getting groups by tenant without pagination (returns all data)\"\"\"\n    mock_result = {\n        \"groups\": [\n            {\"group_id\": 1, \"group_name\": \"Group 1\", \"group_description\": \"Desc 1\"},\n            {\"group_id\": 2, \"group_name\": \"Group 2\", \"group_description\": \"Desc 2\"},\n            {\"group_id\": 3, \"group_name\": \"Group 3\", \"group_description\": \"Desc 3\"}\n        ],\n        \"total\": 3\n    }\n    mock_query_groups_by_tenant.return_value = mock_result\n    mock_count_users.side_effect = [5, 3, 7]\n\n    result = get_groups_by_tenant(\"test_tenant\", page=None, page_size=None)\n\n    assert result[\"total\"] == 3\n    assert len(result[\"groups\"]) == 3\n    assert result[\"groups\"][0][\"user_count\"] == 5\n    assert result[\"groups\"][1][\"user_count\"] == 3\n    assert result[\"groups\"][2][\"user_count\"] == 7\n    mock_query_groups_by_tenant.assert_called_once_with(\"test_tenant\", None, None, \"created_at\", \"desc\")\n    assert mock_count_users.call_count == 3\n\n\n@patch('backend.services.group_service.count_group_users')\n@patch('backend.services.group_service.query_groups_by_tenant')\ndef test_get_groups_by_tenant_success_with_asc_sort(mock_query_groups_by_tenant, mock_count_users):\n    \"\"\"Test getting groups by tenant with ascending sort order\"\"\"\n    mock_result = {\n        \"groups\": [\n            {\"group_id\": 1, \"group_name\": \"Group 1\", \"group_description\": \"Desc 1\"}\n        ],\n        \"total\": 1\n    }\n    mock_query_groups_by_tenant.return_value = mock_result\n    mock_count_users.return_value = 5\n\n    result = get_groups_by_tenant(\"test_tenant\", page=1, page_size=10, sort_by=\"created_at\", sort_order=\"asc\")\n\n    assert result[\"total\"] == 1\n    assert len(result[\"groups\"]) == 1\n    assert result[\"groups\"][0][\"user_count\"] == 5\n    mock_query_groups_by_tenant.assert_called_once_with(\"test_tenant\", 1, 10, \"created_at\", \"asc\")\n    assert mock_count_users.call_count == 1\n\n\n@patch('backend.services.group_service.count_group_users')\n@patch('backend.services.group_service.query_groups_by_tenant')\ndef test_get_groups_by_tenant_empty_list(mock_query_groups_by_tenant, mock_count_users):\n    \"\"\"Test getting groups by tenant when no groups exist\"\"\"\n    mock_result = {\n        \"groups\": [],\n        \"total\": 0\n    }\n    mock_query_groups_by_tenant.return_value = mock_result\n\n    result = get_groups_by_tenant(\"test_tenant\", page=1, page_size=10)\n\n    assert result[\"total\"] == 0\n    assert len(result[\"groups\"]) == 0\n    mock_query_groups_by_tenant.assert_called_once_with(\"test_tenant\", 1, 10, \"created_at\", \"desc\")\n    # count_group_users should not be called when there are no groups\n    assert mock_count_users.call_count == 0\n\n\n@patch('backend.services.group_service.count_group_users')\n@patch('backend.services.group_service.query_groups_by_tenant')\ndef test_get_groups_by_tenant_with_missing_group_id(mock_query_groups_by_tenant, mock_count_users):\n    \"\"\"Test getting groups by tenant when group_id is missing in result\"\"\"\n    mock_result = {\n        \"groups\": [\n            {\"group_name\": \"Group 1\", \"group_description\": \"Desc 1\"}  # Missing group_id\n        ],\n        \"total\": 1\n    }\n    mock_query_groups_by_tenant.return_value = mock_result\n\n    result = get_groups_by_tenant(\"test_tenant\", page=1, page_size=10)\n\n    assert result[\"total\"] == 1\n    assert len(result[\"groups\"]) == 1\n    assert result[\"groups\"][0][\"user_count\"] == 0  # Should default to 0 when group_id is missing\n    assert mock_count_users.call_count == 0  # Should not be called when group_id is missing\n\n\n\n\n@patch('backend.services.group_service.get_user_tenant_by_user_id')\n@patch('backend.services.group_service.check_group_name_exists')\n@patch('backend.services.group_service.add_group')\ndef test_create_group_success(mock_add_group, mock_check_name, mock_get_user, mock_user_info):\n    \"\"\"Test creating group successfully\"\"\"\n    mock_get_user.return_value = mock_user_info\n    mock_check_name.return_value = False  # Name doesn't exist\n    mock_add_group.return_value = 123\n\n    result = create_group(\n        tenant_id=\"test_tenant\",\n        group_name=\"Test Group\",\n        group_description=\"Description\",\n        user_id=\"test_user\"\n    )\n\n    assert result[\"group_id\"] == 123\n    assert result[\"group_name\"] == \"Test Group\"\n    mock_add_group.assert_called_once_with(\n        tenant_id=\"test_tenant\",\n        group_name=\"Test Group\",\n        group_description=\"Description\",\n        created_by=\"test_user\"\n    )\n    mock_check_name.assert_called_once_with(\"test_tenant\", \"Test Group\")\n\n\n@patch('backend.services.group_service.get_user_tenant_by_user_id')\ndef test_create_group_unauthorized(mock_get_user, mock_user_info):\n    \"\"\"Test creating group with unauthorized user\"\"\"\n    mock_user_info[\"user_role\"] = \"USER\"\n    mock_get_user.return_value = mock_user_info\n\n    with pytest.raises(UnauthorizedError, match=\"not authorized to create groups\"):\n        create_group(\n            tenant_id=\"test_tenant\",\n            group_name=\"Test Group\",\n            user_id=\"test_user\"\n        )\n\n\n@patch('backend.services.group_service.get_user_tenant_by_user_id')\n@patch('backend.services.group_service.check_group_name_exists')\ndef test_create_group_duplicate_name(mock_check_name, mock_get_user, mock_user_info):\n    \"\"\"Test creating group with duplicate name\"\"\"\n    mock_get_user.return_value = mock_user_info\n    mock_check_name.return_value = True  # Simulate name already exists\n\n    with pytest.raises(ValidationError, match=\"Group name 'Test Group' already exists\"):\n        create_group(\n            tenant_id=\"test_tenant\",\n            group_name=\"Test Group\",\n            group_description=\"Description\",\n            user_id=\"test_user\"\n        )\n\n    mock_check_name.assert_called_once_with(\"test_tenant\", \"Test Group\")\n\n\n@patch('backend.services.group_service.get_user_tenant_by_user_id')\ndef test_create_group_user_not_found(mock_get_user):\n    \"\"\"Test creating group when user doesn't exist\"\"\"\n    mock_get_user.return_value = None\n\n    with pytest.raises(NotFoundException, match=\"User test_user not found\"):\n        create_group(\n            tenant_id=\"test_tenant\",\n            group_name=\"Test Group\",\n            user_id=\"test_user\"\n        )\n\n\n@patch('backend.services.group_service.get_user_tenant_by_user_id')\n@patch('backend.services.group_service.check_group_name_exists')\n@patch('backend.services.group_service.query_groups')\n@patch('backend.services.group_service.modify_group')\ndef test_update_group_success(mock_modify_group, mock_query_groups, mock_check_name, mock_get_user, mock_user_info, mock_group_info):\n    \"\"\"Test updating group successfully\"\"\"\n    mock_get_user.return_value = mock_user_info\n    mock_query_groups.return_value = mock_group_info\n    mock_check_name.return_value = False  # Name doesn't exist\n    mock_modify_group.return_value = True\n\n    result = update_group(\n        group_id=123,\n        updates={\"group_name\": \"Updated Group\"},\n        user_id=\"test_user\"\n    )\n\n    assert result is True\n    mock_modify_group.assert_called_once_with(\n        group_id=123,\n        updates={\"group_name\": \"Updated Group\"},\n        updated_by=\"test_user\"\n    )\n    mock_check_name.assert_called_once_with(\n        mock_group_info[\"tenant_id\"],\n        \"Updated Group\",\n        exclude_group_id=123\n    )\n\n\n@patch('backend.services.group_service.get_user_tenant_by_user_id')\n@patch('backend.services.group_service.query_groups')\ndef test_update_group_not_found(mock_query_groups, mock_get_user, mock_user_info):\n    \"\"\"Test updating non-existent group\"\"\"\n    mock_get_user.return_value = mock_user_info\n    mock_query_groups.return_value = None\n\n    with pytest.raises(NotFoundException, match=\"Group 123 not found\"):\n        update_group(\n            group_id=123,\n            updates={\"group_name\": \"Updated Group\"},\n            user_id=\"test_user\"\n        )\n\n\n@patch('backend.services.group_service.get_user_tenant_by_user_id')\ndef test_update_group_user_not_found(mock_get_user):\n    \"\"\"Test updating group when user doesn't exist\"\"\"\n    mock_get_user.return_value = None\n\n    with pytest.raises(NotFoundException, match=\"User test_user not found\"):\n        update_group(\n            group_id=123,\n            updates={\"group_name\": \"Updated Group\"},\n            user_id=\"test_user\"\n        )\n\n\n@patch('backend.services.group_service.get_user_tenant_by_user_id')\ndef test_update_group_unauthorized_role(mock_get_user, mock_user_info):\n    \"\"\"Test updating group with insufficient user permissions\"\"\"\n    mock_user_info[\"user_role\"] = \"USER\"\n    mock_get_user.return_value = mock_user_info\n\n    with pytest.raises(UnauthorizedError, match=\"not authorized to update groups\"):\n        update_group(\n            group_id=123,\n            updates={\"group_name\": \"Updated Group\"},\n            user_id=\"test_user\"\n        )\n\n\n@patch('backend.services.group_service.get_user_tenant_by_user_id')\n@patch('backend.services.group_service.query_groups')\n@patch('backend.services.group_service.check_group_name_exists')\ndef test_update_group_duplicate_name(mock_check_name, mock_query_groups, mock_get_user, mock_user_info, mock_group_info):\n    \"\"\"Test updating group with duplicate name\"\"\"\n    mock_get_user.return_value = mock_user_info\n    mock_query_groups.return_value = mock_group_info\n    mock_check_name.return_value = True  # Simulate name already exists\n\n    with pytest.raises(ValidationError, match=\"Group name 'Test Group' already exists\"):\n        update_group(\n            group_id=123,\n            updates={\"group_name\": \"Test Group\"},  # Trying to rename to existing name\n            user_id=\"test_user\"\n        )\n\n    mock_check_name.assert_called_once_with(\n        mock_group_info[\"tenant_id\"],\n        \"Test Group\",\n        exclude_group_id=123\n    )\n\n\n@patch('backend.services.group_service.get_user_tenant_by_user_id')\n@patch('backend.services.group_service.query_groups')\n@patch('backend.services.group_service.remove_group')\ndef test_delete_group_success(mock_remove_group, mock_query_groups, mock_get_user, mock_user_info, mock_group_info):\n    \"\"\"Test deleting group successfully\"\"\"\n    mock_get_user.return_value = mock_user_info\n    mock_query_groups.return_value = mock_group_info\n    mock_remove_group.return_value = True\n\n    result = delete_group(\n        group_id=123,\n        user_id=\"test_user\"\n    )\n\n    assert result is True\n    mock_remove_group.assert_called_once_with(\n        group_id=123,\n        updated_by=\"test_user\"\n    )\n\n\n@patch('backend.services.group_service.get_user_tenant_by_user_id')\ndef test_delete_group_user_not_found(mock_get_user):\n    \"\"\"Test deleting group when user doesn't exist\"\"\"\n    mock_get_user.return_value = None\n\n    with pytest.raises(NotFoundException, match=\"User test_user not found\"):\n        delete_group(\n            group_id=123,\n            user_id=\"test_user\"\n        )\n\n\n@patch('backend.services.group_service.get_user_tenant_by_user_id')\ndef test_delete_group_unauthorized_role(mock_get_user, mock_user_info):\n    \"\"\"Test deleting group with insufficient user permissions\"\"\"\n    mock_user_info[\"user_role\"] = \"USER\"\n    mock_get_user.return_value = mock_user_info\n\n    with pytest.raises(UnauthorizedError, match=\"not authorized to delete groups\"):\n        delete_group(\n            group_id=123,\n            user_id=\"test_user\"\n        )\n\n\n@patch('backend.services.group_service.get_user_tenant_by_user_id')\n@patch('backend.services.group_service.query_groups')\ndef test_delete_group_group_not_found(mock_query_groups, mock_get_user, mock_user_info):\n    \"\"\"Test deleting non-existent group\"\"\"\n    mock_get_user.return_value = mock_user_info\n    mock_query_groups.return_value = None\n\n    with pytest.raises(NotFoundException, match=\"Group 123 not found\"):\n        delete_group(\n            group_id=123,\n            user_id=\"test_user\"\n        )\n\n\n@patch('backend.services.group_service.get_user_tenant_by_user_id')\n@patch('backend.services.group_service.query_groups')\n@patch('backend.services.group_service.add_user_to_group')\n@patch('backend.services.group_service.check_user_in_group')\ndef test_add_user_to_single_group_success(mock_check_user, mock_add_user, mock_query_groups, mock_get_user, mock_user_info, mock_group_info):\n    \"\"\"Test adding user to group successfully\"\"\"\n    mock_get_user.return_value = mock_user_info\n    mock_query_groups.return_value = mock_group_info\n    mock_check_user.return_value = False\n    mock_add_user.return_value = 456\n\n    result = add_user_to_single_group(\n        group_id=123,\n        user_id=\"member_user\",\n        current_user_id=\"test_user\"\n    )\n\n    assert result[\"group_user_id\"] == 456\n    assert result[\"already_member\"] is False\n    mock_add_user.assert_called_once_with(\n        group_id=123,\n        user_id=\"member_user\",\n        created_by=\"test_user\"\n    )\n\n\n@patch('backend.services.group_service.get_user_tenant_by_user_id')\n@patch('backend.services.group_service.query_groups')\n@patch('backend.services.group_service.check_user_in_group')\ndef test_add_user_to_single_group_already_member(mock_check_user, mock_query_groups, mock_get_user, mock_user_info, mock_group_info):\n    \"\"\"Test adding user who is already in group\"\"\"\n    mock_get_user.return_value = mock_user_info\n    mock_query_groups.return_value = mock_group_info\n    mock_check_user.return_value = True\n\n    result = add_user_to_single_group(\n        group_id=123,\n        user_id=\"member_user\",\n        current_user_id=\"test_user\"\n    )\n\n    assert result[\"already_member\"] is True\n    assert result[\"group_id\"] == 123\n\n\n@patch('backend.services.group_service.get_user_tenant_by_user_id')\ndef test_add_user_to_single_group_current_user_not_found(mock_get_user):\n    \"\"\"Test adding user to group when current user doesn't exist\"\"\"\n    mock_get_user.return_value = None\n\n    with pytest.raises(UnauthorizedError, match=\"User test_user not found\"):\n        add_user_to_single_group(\n            group_id=123,\n            user_id=\"member_user\",\n            current_user_id=\"test_user\"\n        )\n\n\n@patch('backend.services.group_service.get_user_tenant_by_user_id')\n@patch('backend.services.group_service.query_groups')\ndef test_add_user_to_single_group_group_not_found(mock_query_groups, mock_get_user, mock_user_info):\n    \"\"\"Test adding user to non-existent group\"\"\"\n    mock_get_user.return_value = mock_user_info\n    mock_query_groups.return_value = None\n\n    with pytest.raises(NotFoundException, match=\"Group 123 not found\"):\n        add_user_to_single_group(\n            group_id=123,\n            user_id=\"member_user\",\n            current_user_id=\"test_user\"\n        )\n\n\n@patch('backend.services.group_service.get_user_tenant_by_user_id')\n@patch('backend.services.group_service.query_groups')\n@patch('backend.services.group_service.query_group_users')\ndef test_get_group_users_success(mock_query_users, mock_query_groups, mock_get_user, mock_group_info):\n    \"\"\"Test getting group users successfully\"\"\"\n    mock_query_groups.return_value = mock_group_info\n    mock_users = [{\"user_id\": \"user1\"}, {\"user_id\": \"user2\"}]\n    mock_query_users.return_value = mock_users\n\n    # Mock get_user_tenant_by_user_id to return user info for each user\n    def mock_user_info(user_id):\n        if user_id == \"user1\":\n            return {\"user_id\": \"user1\", \"user_email\": \"user1@example.com\", \"user_role\": \"USER\"}\n        elif user_id == \"user2\":\n            return {\"user_id\": \"user2\", \"user_email\": \"user2@example.com\", \"user_role\": \"ADMIN\"}\n        return None\n\n    mock_get_user.side_effect = mock_user_info\n\n    result = get_group_users(123)\n\n    assert len(result) == 2\n    assert result[0][\"id\"] == \"user1\"\n    assert result[0][\"username\"] == \"user1@example.com\"\n    assert result[0][\"role\"] == \"USER\"\n    assert result[1][\"id\"] == \"user2\"\n    assert result[1][\"username\"] == \"user2@example.com\"\n    assert result[1][\"role\"] == \"ADMIN\"\n    mock_query_users.assert_called_once_with(123)\n    # get_user_tenant_by_user_id should be called for each user\n    assert mock_get_user.call_count == 2\n\n\n@patch('backend.services.group_service.query_groups')\n@patch('backend.services.group_service.count_group_users')\ndef test_get_group_user_count_success(mock_count_users, mock_query_groups, mock_group_info):\n    \"\"\"Test getting group user count successfully\"\"\"\n    mock_query_groups.return_value = mock_group_info\n    mock_count_users.return_value = 5\n\n    result = get_group_user_count(123)\n\n    assert result == 5\n    mock_count_users.assert_called_once_with(123)\n\n\n@patch('backend.services.group_service.query_groups')\ndef test_get_group_user_count_group_not_found(mock_query_groups):\n    \"\"\"Test getting user count for non-existent group\"\"\"\n    mock_query_groups.return_value = None\n\n    with pytest.raises(NotFoundException, match=\"Group 123 not found\"):\n        get_group_user_count(123)\n\n\n@patch('backend.services.group_service.add_user_to_single_group')\ndef test_add_user_to_groups(mock_add_user):\n    \"\"\"Test adding user to multiple groups\"\"\"\n    mock_add_user.side_effect = [\n        {\"group_id\": 1, \"user_id\": \"user_123\", \"already_member\": False},\n        {\"group_id\": 2, \"user_id\": \"user_123\", \"already_member\": False}\n    ]\n\n    result = add_user_to_groups(\"user_123\", [1, 2], \"admin_user\")\n\n    assert len(result) == 2\n    assert result[0][\"group_id\"] == 1\n    assert result[1][\"group_id\"] == 2\n\n\n@patch('backend.services.group_service.add_user_to_single_group')\ndef test_add_user_to_groups_with_exception(mock_add_user):\n    \"\"\"Test adding user to multiple groups with exception handling\"\"\"\n    mock_add_user.side_effect = [\n        {\"group_id\": 1, \"user_id\": \"user_123\", \"already_member\": False},\n        Exception(\"Group not found\")  # Simulate exception for second group\n    ]\n\n    result = add_user_to_groups(\"user_123\", [1, 2], \"admin_user\")\n\n    assert len(result) == 2\n    assert result[0][\"group_id\"] == 1\n    assert result[0][\"already_member\"] is False\n    assert result[1][\"group_id\"] == 2\n    assert result[1][\"error\"] == \"Group not found\"\n\n\n@patch('backend.services.group_service.get_tenant_info')\ndef test_get_tenant_default_group_id_success(mock_get_tenant_info):\n    \"\"\"Test getting tenant default group ID successfully\"\"\"\n    mock_get_tenant_info.return_value = {\"default_group_id\": \"123\"}\n\n    result = get_tenant_default_group_id(\"test_tenant\")\n\n    assert result == 123\n    mock_get_tenant_info.assert_called_once_with(\"test_tenant\")\n\n\n@patch('backend.services.group_service.get_tenant_info')\ndef test_get_tenant_default_group_id_no_default(mock_get_tenant_info):\n    \"\"\"Test getting tenant default group ID when none is set\"\"\"\n    mock_get_tenant_info.return_value = {\"default_group_id\": \"\"}\n\n    result = get_tenant_default_group_id(\"test_tenant\")\n\n    assert result is None\n    mock_get_tenant_info.assert_called_once_with(\"test_tenant\")\n\n\n@patch('backend.services.group_service.get_tenant_info')\ndef test_get_tenant_default_group_id_exception(mock_get_tenant_info):\n    \"\"\"Test getting tenant default group ID when exception occurs\"\"\"\n    mock_get_tenant_info.side_effect = Exception(\"Database error\")\n\n    result = get_tenant_default_group_id(\"test_tenant\")\n\n    assert result is None\n\n\n@patch('backend.services.group_service.get_tenant_info')\n@patch('backend.services.group_service.query_groups')\n@patch('backend.services.group_service.get_single_config_info')\n@patch('backend.services.group_service.update_config_by_tenant_config_id')\ndef test_set_tenant_default_group_id_update_existing(mock_update_config, mock_get_config, mock_query_groups, mock_get_tenant_info):\n    \"\"\"Test setting tenant default group ID by updating existing config\"\"\"\n    mock_get_tenant_info.return_value = {\"tenant_id\": \"test_tenant\"}\n    mock_query_groups.return_value = {\"tenant_id\": \"test_tenant\"}\n    mock_get_config.return_value = {\"tenant_config_id\": 456}\n    mock_update_config.return_value = True\n\n    result = set_tenant_default_group_id(\"test_tenant\", 123, \"user_123\")\n\n    assert result is True\n    mock_update_config.assert_called_once_with(456, \"123\")\n\n\n@patch('backend.services.group_service.get_tenant_info')\n@patch('backend.services.group_service.query_groups')\n@patch('backend.services.group_service.get_single_config_info')\n@patch('backend.services.group_service.insert_config')\ndef test_set_tenant_default_group_id_create_new(mock_insert_config, mock_get_config, mock_query_groups, mock_get_tenant_info):\n    \"\"\"Test setting tenant default group ID by creating new config\"\"\"\n    mock_get_tenant_info.return_value = {\"tenant_id\": \"test_tenant\"}\n    mock_query_groups.return_value = {\"tenant_id\": \"test_tenant\"}\n    mock_get_config.return_value = None  # No existing config\n    mock_insert_config.return_value = True\n\n    result = set_tenant_default_group_id(\"test_tenant\", 123, \"user_123\")\n\n    assert result is True\n    mock_insert_config.assert_called_once()\n    call_args = mock_insert_config.call_args[0][0]  # Get the dict argument\n    assert call_args[\"tenant_id\"] == \"test_tenant\"\n    assert call_args[\"config_key\"] == \"DEFAULT_GROUP_ID\"\n    assert call_args[\"config_value\"] == \"123\"\n\n\n@patch('backend.services.group_service.get_tenant_info')\ndef test_set_tenant_default_group_id_tenant_not_found(mock_get_tenant_info):\n    \"\"\"Test setting tenant default group ID when tenant doesn't exist\"\"\"\n    mock_get_tenant_info.return_value = None\n\n    with pytest.raises(NotFoundException, match=\"Tenant test_tenant not found\"):\n        set_tenant_default_group_id(\"test_tenant\", 123, \"user_123\")\n\n\n@patch('backend.services.group_service.get_tenant_info')\n@patch('backend.services.group_service.query_groups')\ndef test_set_tenant_default_group_id_group_not_found(mock_query_groups, mock_get_tenant_info):\n    \"\"\"Test setting tenant default group ID when group doesn't exist\"\"\"\n    mock_get_tenant_info.return_value = {\"tenant_id\": \"test_tenant\"}\n    mock_query_groups.return_value = None\n\n    with pytest.raises(NotFoundException, match=\"Group 123 not found\"):\n        set_tenant_default_group_id(\"test_tenant\", 123, \"user_123\")\n\n\n@patch('backend.services.group_service.get_tenant_info')\n@patch('backend.services.group_service.query_groups')\ndef test_set_tenant_default_group_id_wrong_tenant(mock_query_groups, mock_get_tenant_info):\n    \"\"\"Test setting tenant default group ID when group belongs to different tenant\"\"\"\n    mock_get_tenant_info.return_value = {\"tenant_id\": \"test_tenant\"}\n    mock_query_groups.return_value = {\"tenant_id\": \"other_tenant\"}\n\n    with pytest.raises(ValidationError, match=\"Group 123 does not belong to tenant test_tenant\"):\n        set_tenant_default_group_id(\"test_tenant\", 123, \"user_123\")\n\n\n@patch('backend.services.group_service.get_tenant_info')\n@patch('backend.services.group_service.query_groups')\n@patch('backend.services.group_service.get_single_config_info')\n@patch('backend.services.group_service.update_config_by_tenant_config_id')\ndef test_set_tenant_default_group_id_update_failure(mock_update_config, mock_get_config, mock_query_groups, mock_get_tenant_info):\n    \"\"\"Test setting tenant default group ID when update fails\"\"\"\n    mock_get_tenant_info.return_value = {\"tenant_id\": \"test_tenant\"}\n    mock_query_groups.return_value = {\"tenant_id\": \"test_tenant\"}\n    mock_get_config.return_value = {\"tenant_config_id\": 456}\n    mock_update_config.return_value = False\n\n    result = set_tenant_default_group_id(\"test_tenant\", 123, \"user_123\")\n\n    assert result is False\n\n\n@patch('backend.services.group_service.get_tenant_info')\n@patch('backend.services.group_service.query_groups')\n@patch('backend.services.group_service.get_single_config_info')\n@patch('backend.services.group_service.insert_config')\ndef test_set_tenant_default_group_id_exception_handling(mock_insert_config, mock_get_config, mock_query_groups, mock_get_tenant_info):\n    \"\"\"Test exception handling in set_tenant_default_group_id\"\"\"\n    mock_get_tenant_info.return_value = {\"tenant_id\": \"test_tenant\"}\n    mock_query_groups.return_value = {\"tenant_id\": \"test_tenant\"}\n    mock_get_config.return_value = None  # No existing config\n    mock_insert_config.side_effect = Exception(\"Database connection failed\")\n\n    with pytest.raises(ValidationError, match=\"Failed to set default group: Database connection failed\"):\n        set_tenant_default_group_id(\"test_tenant\", 123, \"user_123\")\n\n\n@patch('backend.services.group_service.get_user_tenant_by_user_id')\n@patch('backend.services.group_service.query_groups')\n@patch('backend.services.group_service.remove_user_from_group')\ndef test_remove_user_from_single_group_success(mock_remove_user, mock_query_groups, mock_get_user, mock_user_info, mock_group_info):\n    \"\"\"Test removing user from group successfully\"\"\"\n    mock_get_user.return_value = mock_user_info\n    mock_query_groups.return_value = mock_group_info\n    mock_remove_user.return_value = True\n\n    result = remove_user_from_single_group(\n        group_id=123,\n        user_id=\"member_user\",\n        current_user_id=\"test_user\"\n    )\n\n    assert result is True\n    mock_remove_user.assert_called_once_with(\n        group_id=123,\n        user_id=\"member_user\",\n        updated_by=\"test_user\"\n    )\n\n\n@patch('backend.services.group_service.get_user_tenant_by_user_id')\ndef test_remove_user_from_single_group_unauthorized_user_not_found(mock_get_user):\n    \"\"\"Test removing user from group when current user doesn't exist\"\"\"\n    mock_get_user.return_value = None\n\n    with pytest.raises(UnauthorizedError, match=\"User test_user not found\"):\n        remove_user_from_single_group(\n            group_id=123,\n            user_id=\"member_user\",\n            current_user_id=\"test_user\"\n        )\n\n\n@patch('backend.services.group_service.get_user_tenant_by_user_id')\ndef test_remove_user_from_single_group_unauthorized_role(mock_get_user, mock_user_info):\n    \"\"\"Test removing user from group with insufficient permissions\"\"\"\n    mock_user_info[\"user_role\"] = \"USER\"\n    mock_get_user.return_value = mock_user_info\n\n    with pytest.raises(UnauthorizedError, match=\"not authorized to manage group memberships\"):\n        remove_user_from_single_group(\n            group_id=123,\n            user_id=\"member_user\",\n            current_user_id=\"test_user\"\n        )\n\n\n@patch('backend.services.group_service.get_user_tenant_by_user_id')\n@patch('backend.services.group_service.query_groups')\ndef test_remove_user_from_single_group_group_not_found(mock_query_groups, mock_get_user, mock_user_info):\n    \"\"\"Test removing user from group when group doesn't exist\"\"\"\n    mock_get_user.return_value = mock_user_info\n    mock_query_groups.return_value = None\n\n    with pytest.raises(NotFoundException, match=\"Group 123 not found\"):\n        remove_user_from_single_group(\n            group_id=123,\n            user_id=\"member_user\",\n            current_user_id=\"test_user\"\n        )\n\n\n@patch('backend.services.group_service.get_user_tenant_by_user_id')\n@patch('backend.services.group_service.query_groups')\n@patch('backend.services.group_service.get_group_users')\n@patch('backend.services.group_service.add_user_to_single_group')\n@patch('backend.services.group_service.remove_user_from_single_group')\ndef test_update_group_members_success(\n    mock_remove_user,\n    mock_add_user,\n    mock_get_members,\n    mock_query_groups,\n    mock_get_user,\n    mock_user_info\n):\n    \"\"\"Test successfully updating group members\"\"\"\n    mock_get_user.return_value = mock_user_info\n    mock_query_groups.return_value = {\"group_id\": 123, \"group_name\": \"Test Group\"}\n\n    # Current members: user1, user2\n    mock_get_members.return_value = [\n        {\"id\": \"user1\", \"username\": \"User 1\"},\n        {\"id\": \"user2\", \"username\": \"User 2\"}\n    ]\n\n    # Target members: user2, user3 (remove user1, add user3)\n    mock_remove_user.return_value = True\n    mock_add_user.return_value = {\"group_user_id\": 1, \"group_id\": 123, \"user_id\": \"user3\"}\n\n    result = update_group_members(\n        group_id=123,\n        user_ids=[\"user2\", \"user3\"],\n        current_user_id=\"test_user\"\n    )\n\n    assert result == {\n        \"group_id\": 123,\n        \"added_count\": 1,\n        \"removed_count\": 1,\n        \"total_members\": 2\n    }\n\n    # Should add user3\n    mock_add_user.assert_called_once_with(123, \"user3\", \"test_user\")\n    # Should remove user1\n    mock_remove_user.assert_called_once_with(123, \"user1\", \"test_user\")\n\n\n@patch('backend.services.group_service.get_user_tenant_by_user_id')\ndef test_update_group_members_unauthorized_user_not_found(mock_get_user):\n    \"\"\"Test updating group members when current user doesn't exist\"\"\"\n    mock_get_user.return_value = None\n\n    with pytest.raises(UnauthorizedError, match=\"User test_user not found\"):\n        update_group_members(\n            group_id=123,\n            user_ids=[\"user1\", \"user2\"],\n            current_user_id=\"test_user\"\n        )\n\n\n@patch('backend.services.group_service.get_user_tenant_by_user_id')\n@patch('backend.services.group_service.query_groups')\ndef test_update_group_members_group_not_found(mock_query_groups, mock_get_user, mock_user_info):\n    \"\"\"Test updating group members when group doesn't exist\"\"\"\n    mock_get_user.return_value = mock_user_info\n    mock_query_groups.return_value = None\n\n    with pytest.raises(NotFoundException, match=\"Group 123 not found\"):\n        update_group_members(\n            group_id=123,\n            user_ids=[\"user1\", \"user2\"],\n            current_user_id=\"test_user\"\n        )\n"
  },
  {
    "path": "test/backend/services/test_idata_service.py",
    "content": "\"\"\"\nUnit tests for iData Service Layer.\n\nTests the iData service functions which handle API calls to iData\nfor knowledge space and knowledge base operations.\n\"\"\"\nimport json\nimport pytest\nfrom unittest.mock import MagicMock, patch\nimport httpx\n\nfrom backend.consts.error_code import ErrorCode\nfrom backend.consts.exceptions import AppException\n\n\ndef _create_mock_client(mock_response):\n    \"\"\"\n    Create a properly configured mock client that works with the HttpClientManager.\n\n    The http_client_manager.get_sync_client() returns a client instance directly.\n    \"\"\"\n    mock_client = MagicMock()\n    mock_client.post.return_value = mock_response\n    return mock_client\n\n\nclass TestValidateIdataBaseParams:\n    \"\"\"Test class for _validate_idata_base_params function.\"\"\"\n\n    def test_validate_idata_base_params_success(self):\n        \"\"\"Test validation with valid parameters.\"\"\"\n        from backend.services.idata_service import _validate_idata_base_params\n\n        # Should not raise any exception\n        _validate_idata_base_params(\n            idata_api_base=\"https://idata.example.com\",\n            api_key=\"test-api-key\",\n            user_id=\"test-user-id\"\n        )\n\n    def test_validate_idata_base_params_empty_api_base(self):\n        \"\"\"Test validation fails when API base is empty.\"\"\"\n        from backend.services.idata_service import _validate_idata_base_params\n\n        with pytest.raises(Exception) as exc_info:\n            _validate_idata_base_params(\n                idata_api_base=\"\",\n                api_key=\"test-api-key\",\n                user_id=\"test-user-id\"\n            )\n        assert hasattr(exc_info.value, 'error_code')\n        assert hasattr(exc_info.value, 'error_code')\n        assert exc_info.value.error_code.value == ErrorCode.IDATA_CONFIG_INVALID.value\n        assert \"iData API URL is required\" in str(exc_info.value)\n\n    def test_validate_idata_base_params_none_api_base(self):\n        \"\"\"Test validation fails when API base is None.\"\"\"\n        from backend.services.idata_service import _validate_idata_base_params\n\n        with pytest.raises(Exception) as exc_info:\n            _validate_idata_base_params(\n                idata_api_base=None,\n                api_key=\"test-api-key\",\n                user_id=\"test-user-id\"\n            )\n        assert hasattr(exc_info.value, 'error_code')\n        assert hasattr(exc_info.value, 'error_code')\n        assert exc_info.value.error_code.value == ErrorCode.IDATA_CONFIG_INVALID.value\n\n    def test_validate_idata_base_params_non_string_api_base(self):\n        \"\"\"Test validation fails when API base is not a string.\"\"\"\n        from backend.services.idata_service import _validate_idata_base_params\n\n        with pytest.raises(Exception) as exc_info:\n            _validate_idata_base_params(\n                idata_api_base=123,\n                api_key=\"test-api-key\",\n                user_id=\"test-user-id\"\n            )\n        assert hasattr(exc_info.value, 'error_code')\n        assert hasattr(exc_info.value, 'error_code')\n        assert exc_info.value.error_code.value == ErrorCode.IDATA_CONFIG_INVALID.value\n\n    def test_validate_idata_base_params_invalid_scheme(self):\n        \"\"\"Test validation fails when API base doesn't start with http:// or https://.\"\"\"\n        from backend.services.idata_service import _validate_idata_base_params\n\n        with pytest.raises(Exception) as exc_info:\n            _validate_idata_base_params(\n                idata_api_base=\"ftp://idata.example.com\",\n                api_key=\"test-api-key\",\n                user_id=\"test-user-id\"\n            )\n        assert hasattr(exc_info.value, 'error_code')\n        assert hasattr(exc_info.value, 'error_code')\n        assert exc_info.value.error_code.value == ErrorCode.IDATA_CONFIG_INVALID.value\n        assert \"must start with http:// or https://\" in str(exc_info.value)\n\n    def test_validate_idata_base_params_http_scheme(self):\n        \"\"\"Test validation succeeds with http:// scheme.\"\"\"\n        from backend.services.idata_service import _validate_idata_base_params\n\n        # Should not raise any exception\n        _validate_idata_base_params(\n            idata_api_base=\"http://idata.example.com\",\n            api_key=\"test-api-key\",\n            user_id=\"test-user-id\"\n        )\n\n    def test_validate_idata_base_params_https_scheme(self):\n        \"\"\"Test validation succeeds with https:// scheme.\"\"\"\n        from backend.services.idata_service import _validate_idata_base_params\n\n        # Should not raise any exception\n        _validate_idata_base_params(\n            idata_api_base=\"https://idata.example.com\",\n            api_key=\"test-api-key\",\n            user_id=\"test-user-id\"\n        )\n\n    def test_validate_idata_base_params_empty_api_key(self):\n        \"\"\"Test validation fails when API key is empty.\"\"\"\n        from backend.services.idata_service import _validate_idata_base_params\n\n        with pytest.raises(Exception) as exc_info:\n            _validate_idata_base_params(\n                idata_api_base=\"https://idata.example.com\",\n                api_key=\"\",\n                user_id=\"test-user-id\"\n            )\n        assert hasattr(exc_info.value, 'error_code')\n        assert hasattr(exc_info.value, 'error_code')\n        assert exc_info.value.error_code.value == ErrorCode.IDATA_CONFIG_INVALID.value\n        assert \"iData API key is required\" in str(exc_info.value)\n\n    def test_validate_idata_base_params_none_api_key(self):\n        \"\"\"Test validation fails when API key is None.\"\"\"\n        from backend.services.idata_service import _validate_idata_base_params\n\n        with pytest.raises(Exception) as exc_info:\n            _validate_idata_base_params(\n                idata_api_base=\"https://idata.example.com\",\n                api_key=None,\n                user_id=\"test-user-id\"\n            )\n        assert hasattr(exc_info.value, 'error_code')\n        assert hasattr(exc_info.value, 'error_code')\n        assert exc_info.value.error_code.value == ErrorCode.IDATA_CONFIG_INVALID.value\n\n    def test_validate_idata_base_params_non_string_api_key(self):\n        \"\"\"Test validation fails when API key is not a string.\"\"\"\n        from backend.services.idata_service import _validate_idata_base_params\n\n        with pytest.raises(Exception) as exc_info:\n            _validate_idata_base_params(\n                idata_api_base=\"https://idata.example.com\",\n                api_key=12345,\n                user_id=\"test-user-id\"\n            )\n        assert hasattr(exc_info.value, 'error_code')\n        assert hasattr(exc_info.value, 'error_code')\n        assert exc_info.value.error_code.value == ErrorCode.IDATA_CONFIG_INVALID.value\n\n    def test_validate_idata_base_params_empty_user_id(self):\n        \"\"\"Test validation fails when user ID is empty.\"\"\"\n        from backend.services.idata_service import _validate_idata_base_params\n\n        with pytest.raises(Exception) as exc_info:\n            _validate_idata_base_params(\n                idata_api_base=\"https://idata.example.com\",\n                api_key=\"test-api-key\",\n                user_id=\"\"\n            )\n        assert hasattr(exc_info.value, 'error_code')\n        assert hasattr(exc_info.value, 'error_code')\n        assert exc_info.value.error_code.value == ErrorCode.IDATA_CONFIG_INVALID.value\n        assert \"iData user ID is required\" in str(exc_info.value)\n\n    def test_validate_idata_base_params_none_user_id(self):\n        \"\"\"Test validation fails when user ID is None.\"\"\"\n        from backend.services.idata_service import _validate_idata_base_params\n\n        with pytest.raises(Exception) as exc_info:\n            _validate_idata_base_params(\n                idata_api_base=\"https://idata.example.com\",\n                api_key=\"test-api-key\",\n                user_id=None\n            )\n        assert hasattr(exc_info.value, 'error_code')\n        assert hasattr(exc_info.value, 'error_code')\n        assert exc_info.value.error_code.value == ErrorCode.IDATA_CONFIG_INVALID.value\n\n    def test_validate_idata_base_params_non_string_user_id(self):\n        \"\"\"Test validation fails when user ID is not a string.\"\"\"\n        from backend.services.idata_service import _validate_idata_base_params\n\n        with pytest.raises(Exception) as exc_info:\n            _validate_idata_base_params(\n                idata_api_base=\"https://idata.example.com\",\n                api_key=\"test-api-key\",\n                user_id=12345\n            )\n        assert hasattr(exc_info.value, 'error_code')\n        assert hasattr(exc_info.value, 'error_code')\n        assert exc_info.value.error_code.value == ErrorCode.IDATA_CONFIG_INVALID.value\n\n\nclass TestNormalizeApiBase:\n    \"\"\"Test class for _normalize_api_base function.\"\"\"\n\n    def test_normalize_api_base_with_trailing_slash(self):\n        \"\"\"Test normalization removes trailing slash.\"\"\"\n        from backend.services.idata_service import _normalize_api_base\n\n        result = _normalize_api_base(\"https://idata.example.com/\")\n        assert result == \"https://idata.example.com\"\n\n    def test_normalize_api_base_without_trailing_slash(self):\n        \"\"\"Test normalization doesn't change URL without trailing slash.\"\"\"\n        from backend.services.idata_service import _normalize_api_base\n\n        result = _normalize_api_base(\"https://idata.example.com\")\n        assert result == \"https://idata.example.com\"\n\n    def test_normalize_api_base_multiple_trailing_slashes(self):\n        \"\"\"Test normalization removes multiple trailing slashes.\"\"\"\n        from backend.services.idata_service import _normalize_api_base\n\n        result = _normalize_api_base(\"https://idata.example.com///\")\n        assert result == \"https://idata.example.com\"\n\n\nclass TestMakeIdataRequest:\n    \"\"\"Test class for _make_idata_request function.\"\"\"\n\n    def test_make_idata_request_success(self):\n        \"\"\"Test successful API request.\"\"\"\n        from backend.services.idata_service import _make_idata_request\n\n        mock_response = MagicMock()\n        mock_response.json.return_value = {\"code\": \"1\", \"data\": []}\n        mock_response.raise_for_status = MagicMock()\n\n        mock_client = _create_mock_client(mock_response)\n\n        with patch('backend.services.idata_service.http_client_manager') as mock_manager:\n            mock_manager.get_sync_client.return_value = mock_client\n\n            result = _make_idata_request(\n                api_base=\"https://idata.example.com\",\n                url=\"https://idata.example.com/api/test\",\n                headers={\"Authorization\": \"Bearer token\"},\n                request_body={\"userId\": \"user-1\"}\n            )\n\n        assert result == {\"code\": \"1\", \"data\": []}\n        mock_client.post.assert_called_once()\n        mock_response.raise_for_status.assert_called_once()\n\n    def test_make_idata_request_connection_error(self):\n        \"\"\"Test request error handling.\"\"\"\n        from backend.services.idata_service import _make_idata_request\n\n        mock_client = MagicMock()\n        mock_client.post.side_effect = httpx.RequestError(\"Connection failed\")\n\n        with patch('backend.services.idata_service.http_client_manager') as mock_manager:\n            mock_manager.get_sync_client.return_value = mock_client\n\n            with pytest.raises(Exception) as exc_info:\n                _make_idata_request(\n                    api_base=\"https://idata.example.com\",\n                    url=\"https://idata.example.com/api/test\",\n                    headers={},\n                    request_body={}\n                )\n\n        assert hasattr(exc_info.value, 'error_code')\n        assert exc_info.value.error_code.value == ErrorCode.IDATA_CONNECTION_ERROR.value\n        assert \"iData API request failed\" in str(exc_info.value)\n\n    def test_make_idata_request_http_401_error(self):\n        \"\"\"Test HTTP 401 error handling.\"\"\"\n        from backend.services.idata_service import _make_idata_request\n\n        mock_response = MagicMock()\n        mock_response.status_code = 401\n        mock_http_error = httpx.HTTPStatusError(\n            \"Unauthorized\",\n            request=MagicMock(),\n            response=mock_response\n        )\n\n        mock_client = MagicMock()\n        mock_client.post.return_value = mock_response\n        mock_response.raise_for_status.side_effect = mock_http_error\n\n        with patch('backend.services.idata_service.http_client_manager') as mock_manager:\n            mock_manager.get_sync_client.return_value = mock_client\n\n            with pytest.raises(Exception) as exc_info:\n                _make_idata_request(\n                    api_base=\"https://idata.example.com\",\n                    url=\"https://idata.example.com/api/test\",\n                    headers={},\n                    request_body={}\n                )\n\n        assert hasattr(exc_info.value, 'error_code')\n        assert exc_info.value.error_code.value == ErrorCode.IDATA_AUTH_ERROR.value\n        assert \"iData authentication failed\" in str(exc_info.value)\n\n    def test_make_idata_request_http_403_error(self):\n        \"\"\"Test HTTP 403 error handling.\"\"\"\n        from backend.services.idata_service import _make_idata_request\n\n        mock_response = MagicMock()\n        mock_response.status_code = 403\n        mock_http_error = httpx.HTTPStatusError(\n            \"Forbidden\",\n            request=MagicMock(),\n            response=mock_response\n        )\n\n        mock_client = MagicMock()\n        mock_client.post.return_value = mock_response\n        mock_response.raise_for_status.side_effect = mock_http_error\n\n        with patch('backend.services.idata_service.http_client_manager') as mock_manager:\n            mock_manager.get_sync_client.return_value = mock_client\n\n            with pytest.raises(Exception) as exc_info:\n                _make_idata_request(\n                    api_base=\"https://idata.example.com\",\n                    url=\"https://idata.example.com/api/test\",\n                    headers={},\n                    request_body={}\n                )\n\n        assert hasattr(exc_info.value, 'error_code')\n        assert exc_info.value.error_code.value == ErrorCode.IDATA_AUTH_ERROR.value\n        assert \"iData access forbidden\" in str(exc_info.value)\n\n    def test_make_idata_request_http_429_error(self):\n        \"\"\"Test HTTP 429 error handling.\"\"\"\n        from backend.services.idata_service import _make_idata_request\n\n        mock_response = MagicMock()\n        mock_response.status_code = 429\n        mock_http_error = httpx.HTTPStatusError(\n            \"Too Many Requests\",\n            request=MagicMock(),\n            response=mock_response\n        )\n\n        mock_client = MagicMock()\n        mock_client.post.return_value = mock_response\n        mock_response.raise_for_status.side_effect = mock_http_error\n\n        with patch('backend.services.idata_service.http_client_manager') as mock_manager:\n            mock_manager.get_sync_client.return_value = mock_client\n\n            with pytest.raises(Exception) as exc_info:\n                _make_idata_request(\n                    api_base=\"https://idata.example.com\",\n                    url=\"https://idata.example.com/api/test\",\n                    headers={},\n                    request_body={}\n                )\n\n        assert hasattr(exc_info.value, 'error_code')\n        assert exc_info.value.error_code.value == ErrorCode.IDATA_RATE_LIMIT.value\n        assert \"iData API rate limit exceeded\" in str(exc_info.value)\n\n    def test_make_idata_request_http_500_error(self):\n        \"\"\"Test HTTP 500 error handling.\"\"\"\n        from backend.services.idata_service import _make_idata_request\n\n        mock_response = MagicMock()\n        mock_response.status_code = 500\n        mock_http_error = httpx.HTTPStatusError(\n            \"Internal Server Error\",\n            request=MagicMock(),\n            response=mock_response\n        )\n\n        mock_client = MagicMock()\n        mock_client.post.return_value = mock_response\n        mock_response.raise_for_status.side_effect = mock_http_error\n\n        with patch('backend.services.idata_service.http_client_manager') as mock_manager:\n            mock_manager.get_sync_client.return_value = mock_client\n\n            with pytest.raises(Exception) as exc_info:\n                _make_idata_request(\n                    api_base=\"https://idata.example.com\",\n                    url=\"https://idata.example.com/api/test\",\n                    headers={},\n                    request_body={}\n                )\n\n        assert hasattr(exc_info.value, 'error_code')\n        assert hasattr(exc_info.value, 'error_code')\n        assert exc_info.value.error_code.value == ErrorCode.IDATA_SERVICE_ERROR.value\n        assert \"iData API HTTP error 500\" in str(exc_info.value)\n\n    def test_make_idata_request_json_decode_error(self):\n        \"\"\"Test JSON decode error handling.\"\"\"\n        from backend.services.idata_service import _make_idata_request\n\n        mock_response = MagicMock()\n        mock_response.raise_for_status = MagicMock()\n        mock_response.json.side_effect = json.JSONDecodeError(\"Invalid JSON\", \"\", 0)\n\n        mock_client = _create_mock_client(mock_response)\n\n        with patch('backend.services.idata_service.http_client_manager') as mock_manager:\n            mock_manager.get_sync_client.return_value = mock_client\n\n            with pytest.raises(Exception) as exc_info:\n                _make_idata_request(\n                    api_base=\"https://idata.example.com\",\n                    url=\"https://idata.example.com/api/test\",\n                    headers={},\n                    request_body={}\n                )\n\n        assert hasattr(exc_info.value, 'error_code')\n        assert exc_info.value.error_code.value == ErrorCode.IDATA_RESPONSE_ERROR.value\n        assert \"Failed to parse iData API response\" in str(exc_info.value)\n\n\nclass TestParseIdataResponse:\n    \"\"\"Test class for _parse_idata_response function.\"\"\"\n\n    def test_parse_idata_response_success(self):\n        \"\"\"Test successful response parsing.\"\"\"\n        from backend.services.idata_service import _parse_idata_response\n\n        result = {\n            \"code\": \"1\",\n            \"msg\": \"Success\",\n            \"data\": [{\"id\": \"1\", \"name\": \"Test\"}],\n            \"msgParams\": None\n        }\n\n        data = _parse_idata_response(result)\n        assert data == [{\"id\": \"1\", \"name\": \"Test\"}]\n\n    def test_parse_idata_response_error_code(self):\n        \"\"\"Test response parsing with error code.\"\"\"\n        from backend.services.idata_service import _parse_idata_response\n\n        result = {\n            \"code\": \"0\",\n            \"msg\": \"Error occurred\",\n            \"data\": []\n        }\n\n        with pytest.raises(Exception) as exc_info:\n            _parse_idata_response(result)\n\n        assert hasattr(exc_info.value, 'error_code')\n        assert hasattr(exc_info.value, 'error_code')\n        assert exc_info.value.error_code.value == ErrorCode.IDATA_SERVICE_ERROR.value\n        assert \"iData API error: Error occurred\" in str(exc_info.value)\n\n    def test_parse_idata_response_error_code_no_msg(self):\n        \"\"\"Test response parsing with error code but no message.\"\"\"\n        from backend.services.idata_service import _parse_idata_response\n\n        result = {\n            \"code\": \"0\",\n            \"data\": []\n        }\n\n        with pytest.raises(Exception) as exc_info:\n            _parse_idata_response(result)\n\n        assert hasattr(exc_info.value, 'error_code')\n        assert hasattr(exc_info.value, 'error_code')\n        assert exc_info.value.error_code.value == ErrorCode.IDATA_SERVICE_ERROR.value\n        assert \"iData API error: Unknown error\" in str(exc_info.value)\n\n    def test_parse_idata_response_data_not_list(self):\n        \"\"\"Test response parsing when data is not a list.\"\"\"\n        from backend.services.idata_service import _parse_idata_response\n\n        result = {\n            \"code\": \"1\",\n            \"msg\": \"Success\",\n            \"data\": {\"id\": \"1\"}\n        }\n\n        with pytest.raises(Exception) as exc_info:\n            _parse_idata_response(result)\n\n        assert hasattr(exc_info.value, 'error_code')\n        assert exc_info.value.error_code.value == ErrorCode.IDATA_RESPONSE_ERROR.value\n        assert \"data is not a list\" in str(exc_info.value)\n\n    def test_parse_idata_response_empty_data(self):\n        \"\"\"Test response parsing with empty data list.\"\"\"\n        from backend.services.idata_service import _parse_idata_response\n\n        result = {\n            \"code\": \"1\",\n            \"msg\": \"Success\",\n            \"data\": []\n        }\n\n        data = _parse_idata_response(result)\n        assert data == []\n\n\nclass TestFetchIdataKnowledgeSpacesImpl:\n    \"\"\"Test class for fetch_idata_knowledge_spaces_impl function.\"\"\"\n\n    def test_fetch_idata_knowledge_spaces_impl_success(self):\n        \"\"\"Test successful fetching of knowledge spaces.\"\"\"\n        from backend.services.idata_service import fetch_idata_knowledge_spaces_impl\n\n        mock_response = MagicMock()\n        mock_response.json.return_value = {\n            \"code\": \"1\",\n            \"msg\": \"Success\",\n            \"data\": [\n                {\n                    \"id\": \"6cbf949946bf4b769c073259406b04f8\",\n                    \"name\": \"test1\"\n                },\n                {\n                    \"id\": \"7dbf949946bf4b769c073259406b04f9\",\n                    \"name\": \"test2\"\n                }\n            ]\n        }\n        mock_response.raise_for_status = MagicMock()\n\n        mock_client = _create_mock_client(mock_response)\n\n        with patch('backend.services.idata_service.http_client_manager') as mock_manager:\n            mock_manager.get_sync_client.return_value = mock_client\n\n            result = fetch_idata_knowledge_spaces_impl(\n                idata_api_base=\"https://idata.example.com\",\n                api_key=\"test-api-key\",\n                user_id=\"test-user-id\"\n            )\n\n        assert len(result) == 2\n        assert result[0][\"id\"] == \"6cbf949946bf4b769c073259406b04f8\"\n        assert result[0][\"name\"] == \"test1\"\n        assert result[1][\"id\"] == \"7dbf949946bf4b769c073259406b04f9\"\n        assert result[1][\"name\"] == \"test2\"\n\n        # Verify request was made correctly\n        call_args = mock_client.post.call_args\n        assert \"/knowledgeSpaces/query\" in call_args[0][0]\n        assert call_args[1][\"headers\"][\"Authorization\"] == \"Bearer test-api-key\"\n        assert call_args[1][\"json\"][\"userId\"] == \"test-user-id\"\n\n    def test_fetch_idata_knowledge_spaces_impl_with_trailing_slash(self):\n        \"\"\"Test fetching with API base URL that has trailing slash.\"\"\"\n        from backend.services.idata_service import fetch_idata_knowledge_spaces_impl\n\n        mock_response = MagicMock()\n        mock_response.json.return_value = {\n            \"code\": \"1\",\n            \"msg\": \"Success\",\n            \"data\": [{\"id\": \"1\", \"name\": \"test\"}]\n        }\n        mock_response.raise_for_status = MagicMock()\n\n        mock_client = _create_mock_client(mock_response)\n\n        with patch('backend.services.idata_service.http_client_manager') as mock_manager:\n            mock_manager.get_sync_client.return_value = mock_client\n\n            result = fetch_idata_knowledge_spaces_impl(\n                idata_api_base=\"https://idata.example.com/\",\n                api_key=\"test-api-key\",\n                user_id=\"test-user-id\"\n            )\n\n        assert len(result) == 1\n        # Verify URL normalization worked (no double slash)\n        call_args = mock_client.post.call_args\n        assert \"//apiaccess\" not in call_args[0][0]\n\n    def test_fetch_idata_knowledge_spaces_impl_empty_response(self):\n        \"\"\"Test fetching when API returns empty list.\"\"\"\n        from backend.services.idata_service import fetch_idata_knowledge_spaces_impl\n\n        mock_response = MagicMock()\n        mock_response.json.return_value = {\n            \"code\": \"1\",\n            \"msg\": \"Success\",\n            \"data\": []\n        }\n        mock_response.raise_for_status = MagicMock()\n\n        mock_client = _create_mock_client(mock_response)\n\n        with patch('backend.services.idata_service.http_client_manager') as mock_manager:\n            mock_manager.get_sync_client.return_value = mock_client\n\n            result = fetch_idata_knowledge_spaces_impl(\n                idata_api_base=\"https://idata.example.com\",\n                api_key=\"test-api-key\",\n                user_id=\"test-user-id\"\n            )\n\n        assert result == []\n\n    def test_fetch_idata_knowledge_spaces_impl_skips_invalid_items(self):\n        \"\"\"Test fetching skips items that are not dicts or missing required fields.\"\"\"\n        from backend.services.idata_service import fetch_idata_knowledge_spaces_impl\n\n        mock_response = MagicMock()\n        mock_response.json.return_value = {\n            \"code\": \"1\",\n            \"msg\": \"Success\",\n            \"data\": [\n                {\"id\": \"1\", \"name\": \"valid1\"},\n                \"invalid_string\",\n                {\"id\": \"2\"},  # missing name\n                {\"name\": \"test\"},  # missing id\n                {\"id\": \"3\", \"name\": \"valid2\"},\n                None,  # None item\n                {\"id\": \"\", \"name\": \"empty_id\"},  # empty id\n                {\"id\": \"4\", \"name\": \"\"}  # empty name\n            ]\n        }\n        mock_response.raise_for_status = MagicMock()\n\n        mock_client = _create_mock_client(mock_response)\n\n        with patch('backend.services.idata_service.http_client_manager') as mock_manager:\n            mock_manager.get_sync_client.return_value = mock_client\n\n            result = fetch_idata_knowledge_spaces_impl(\n                idata_api_base=\"https://idata.example.com\",\n                api_key=\"test-api-key\",\n                user_id=\"test-user-id\"\n            )\n\n        # Only valid items should be included\n        assert len(result) == 2\n        assert result[0][\"id\"] == \"1\"\n        assert result[0][\"name\"] == \"valid1\"\n        assert result[1][\"id\"] == \"3\"\n        assert result[1][\"name\"] == \"valid2\"\n\n    def test_fetch_idata_knowledge_spaces_impl_validation_error(self):\n        \"\"\"Test fetching with invalid parameters raises validation error.\"\"\"\n        from backend.services.idata_service import fetch_idata_knowledge_spaces_impl\n\n        with pytest.raises(Exception) as exc_info:\n            fetch_idata_knowledge_spaces_impl(\n                idata_api_base=\"\",\n                api_key=\"test-api-key\",\n                user_id=\"test-user-id\"\n            )\n\n        assert hasattr(exc_info.value, 'error_code')\n        assert exc_info.value.error_code.value == ErrorCode.IDATA_CONFIG_INVALID.value\n\n    def test_fetch_idata_knowledge_spaces_impl_api_error(self):\n        \"\"\"Test fetching when API returns error code.\"\"\"\n        from backend.services.idata_service import fetch_idata_knowledge_spaces_impl\n\n        mock_response = MagicMock()\n        mock_response.json.return_value = {\n            \"code\": \"0\",\n            \"msg\": \"API Error\",\n            \"data\": []\n        }\n        mock_response.raise_for_status = MagicMock()\n\n        mock_client = _create_mock_client(mock_response)\n\n        with patch('backend.services.idata_service.http_client_manager') as mock_manager:\n            mock_manager.get_sync_client.return_value = mock_client\n\n            with pytest.raises(Exception) as exc_info:\n                fetch_idata_knowledge_spaces_impl(\n                    idata_api_base=\"https://idata.example.com\",\n                    api_key=\"test-api-key\",\n                    user_id=\"test-user-id\"\n                )\n\n        assert hasattr(exc_info.value, 'error_code')\n        assert exc_info.value.error_code.value == ErrorCode.IDATA_SERVICE_ERROR.value\n\n\nclass TestFetchIdataDatasetsImpl:\n    \"\"\"Test class for fetch_idata_datasets_impl function.\"\"\"\n\n    def test_fetch_idata_datasets_impl_success(self):\n        \"\"\"Test successful fetching of datasets.\"\"\"\n        from backend.services.idata_service import fetch_idata_datasets_impl\n\n        mock_response = MagicMock()\n        mock_response.json.return_value = {\n            \"code\": \"1\",\n            \"msg\": \"Success\",\n            \"data\": [\n                {\n                    \"id\": \"kb-1\",\n                    \"name\": \"Knowledge Base 1\",\n                    \"fileCount\": 10\n                },\n                {\n                    \"id\": \"kb-2\",\n                    \"name\": \"Knowledge Base 2\",\n                    \"fileCount\": 20\n                }\n            ]\n        }\n        mock_response.raise_for_status = MagicMock()\n\n        mock_client = _create_mock_client(mock_response)\n\n        with patch('backend.services.idata_service.http_client_manager') as mock_manager:\n            mock_manager.get_sync_client.return_value = mock_client\n\n            result = fetch_idata_datasets_impl(\n                idata_api_base=\"https://idata.example.com\",\n                api_key=\"test-api-key\",\n                user_id=\"test-user-id\",\n                knowledge_space_id=\"space-1\"\n            )\n\n        assert result[\"count\"] == 2\n        assert result[\"indices\"] == [\"kb-1\", \"kb-2\"]\n        assert len(result[\"indices_info\"]) == 2\n\n        # Verify first knowledge base\n        assert result[\"indices_info\"][0][\"name\"] == \"kb-1\"\n        assert result[\"indices_info\"][0][\"display_name\"] == \"Knowledge Base 1\"\n        assert result[\"indices_info\"][0][\"stats\"][\"base_info\"][\"doc_count\"] == 10\n        assert result[\"indices_info\"][0][\"stats\"][\"base_info\"][\"process_source\"] == \"iData\"\n\n        # Verify second knowledge base\n        assert result[\"indices_info\"][1][\"name\"] == \"kb-2\"\n        assert result[\"indices_info\"][1][\"display_name\"] == \"Knowledge Base 2\"\n        assert result[\"indices_info\"][1][\"stats\"][\"base_info\"][\"doc_count\"] == 20\n        assert result[\"indices_info\"][1][\"stats\"][\"base_info\"][\"process_source\"] == \"iData\"\n\n        # Verify request was made correctly\n        call_args = mock_client.post.call_args\n        assert \"/knowledgeBases/query\" in call_args[0][0]\n        assert call_args[1][\"headers\"][\"Authorization\"] == \"Bearer test-api-key\"\n        assert call_args[1][\"json\"][\"userId\"] == \"test-user-id\"\n        assert call_args[1][\"json\"][\"knowledgeSpaceId\"] == \"space-1\"\n\n    def test_fetch_idata_datasets_impl_empty_response(self):\n        \"\"\"Test fetching when API returns empty list.\"\"\"\n        from backend.services.idata_service import fetch_idata_datasets_impl\n\n        mock_response = MagicMock()\n        mock_response.json.return_value = {\n            \"code\": \"1\",\n            \"msg\": \"Success\",\n            \"data\": []\n        }\n        mock_response.raise_for_status = MagicMock()\n\n        mock_client = _create_mock_client(mock_response)\n\n        with patch('backend.services.idata_service.http_client_manager') as mock_manager:\n            mock_manager.get_sync_client.return_value = mock_client\n\n            result = fetch_idata_datasets_impl(\n                idata_api_base=\"https://idata.example.com\",\n                api_key=\"test-api-key\",\n                user_id=\"test-user-id\",\n                knowledge_space_id=\"space-1\"\n            )\n\n        assert result[\"count\"] == 0\n        assert result[\"indices\"] == []\n        assert result[\"indices_info\"] == []\n\n    def test_fetch_idata_datasets_impl_skips_invalid_items(self):\n        \"\"\"Test fetching skips items that are not dicts or missing id.\"\"\"\n        from backend.services.idata_service import fetch_idata_datasets_impl\n\n        mock_response = MagicMock()\n        mock_response.json.return_value = {\n            \"code\": \"1\",\n            \"msg\": \"Success\",\n            \"data\": [\n                {\"id\": \"kb-1\", \"name\": \"KB 1\", \"fileCount\": 5},\n                \"invalid_string\",\n                {\"name\": \"KB 2\", \"fileCount\": 10},  # missing id\n                {\"id\": \"\", \"name\": \"KB 3\", \"fileCount\": 15},  # empty id\n                {\"id\": \"kb-4\", \"name\": \"KB 4\", \"fileCount\": 20},\n                None  # None item\n            ]\n        }\n        mock_response.raise_for_status = MagicMock()\n\n        mock_client = _create_mock_client(mock_response)\n\n        with patch('backend.services.idata_service.http_client_manager') as mock_manager:\n            mock_manager.get_sync_client.return_value = mock_client\n\n            result = fetch_idata_datasets_impl(\n                idata_api_base=\"https://idata.example.com\",\n                api_key=\"test-api-key\",\n                user_id=\"test-user-id\",\n                knowledge_space_id=\"space-1\"\n            )\n\n        # Only valid items should be included\n        assert result[\"count\"] == 2\n        assert result[\"indices\"] == [\"kb-1\", \"kb-4\"]\n        assert len(result[\"indices_info\"]) == 2\n\n    def test_fetch_idata_datasets_impl_missing_file_count(self):\n        \"\"\"Test fetching handles missing fileCount field.\"\"\"\n        from backend.services.idata_service import fetch_idata_datasets_impl\n\n        mock_response = MagicMock()\n        mock_response.json.return_value = {\n            \"code\": \"1\",\n            \"msg\": \"Success\",\n            \"data\": [\n                {\n                    \"id\": \"kb-1\",\n                    \"name\": \"Knowledge Base 1\"\n                    # fileCount missing\n                }\n            ]\n        }\n        mock_response.raise_for_status = MagicMock()\n\n        mock_client = _create_mock_client(mock_response)\n\n        with patch('backend.services.idata_service.http_client_manager') as mock_manager:\n            mock_manager.get_sync_client.return_value = mock_client\n\n            result = fetch_idata_datasets_impl(\n                idata_api_base=\"https://idata.example.com\",\n                api_key=\"test-api-key\",\n                user_id=\"test-user-id\",\n                knowledge_space_id=\"space-1\"\n            )\n\n        assert result[\"count\"] == 1\n        assert result[\"indices_info\"][0][\"stats\"][\"base_info\"][\"doc_count\"] == 0\n\n    def test_fetch_idata_datasets_impl_missing_name(self):\n        \"\"\"Test fetching handles missing name field.\"\"\"\n        from backend.services.idata_service import fetch_idata_datasets_impl\n\n        mock_response = MagicMock()\n        mock_response.json.return_value = {\n            \"code\": \"1\",\n            \"msg\": \"Success\",\n            \"data\": [\n                {\n                    \"id\": \"kb-1\",\n                    \"fileCount\": 10\n                    # name missing\n                }\n            ]\n        }\n        mock_response.raise_for_status = MagicMock()\n\n        mock_client = _create_mock_client(mock_response)\n\n        with patch('backend.services.idata_service.http_client_manager') as mock_manager:\n            mock_manager.get_sync_client.return_value = mock_client\n\n            result = fetch_idata_datasets_impl(\n                idata_api_base=\"https://idata.example.com\",\n                api_key=\"test-api-key\",\n                user_id=\"test-user-id\",\n                knowledge_space_id=\"space-1\"\n            )\n\n        assert result[\"count\"] == 1\n        assert result[\"indices_info\"][0][\"display_name\"] == \"\"\n\n    def test_fetch_idata_datasets_impl_validation_error_api_base(self):\n        \"\"\"Test fetching with invalid API base raises validation error.\"\"\"\n        from backend.services.idata_service import fetch_idata_datasets_impl\n\n        with pytest.raises(Exception) as exc_info:\n            fetch_idata_datasets_impl(\n                idata_api_base=\"\",\n                api_key=\"test-api-key\",\n                user_id=\"test-user-id\",\n                knowledge_space_id=\"space-1\"\n            )\n\n        assert hasattr(exc_info.value, 'error_code')\n        assert exc_info.value.error_code.value == ErrorCode.IDATA_CONFIG_INVALID.value\n\n    def test_fetch_idata_datasets_impl_validation_error_knowledge_space_id_empty(self):\n        \"\"\"Test fetching with empty knowledge space ID raises validation error.\"\"\"\n        from backend.services.idata_service import fetch_idata_datasets_impl\n\n        with pytest.raises(Exception) as exc_info:\n            fetch_idata_datasets_impl(\n                idata_api_base=\"https://idata.example.com\",\n                api_key=\"test-api-key\",\n                user_id=\"test-user-id\",\n                knowledge_space_id=\"\"\n            )\n\n        assert hasattr(exc_info.value, 'error_code')\n        assert exc_info.value.error_code.value == ErrorCode.IDATA_CONFIG_INVALID.value\n        assert \"Knowledge space ID is required\" in str(exc_info.value)\n\n    def test_fetch_idata_datasets_impl_validation_error_knowledge_space_id_none(self):\n        \"\"\"Test fetching with None knowledge space ID raises validation error.\"\"\"\n        from backend.services.idata_service import fetch_idata_datasets_impl\n\n        with pytest.raises(Exception) as exc_info:\n            fetch_idata_datasets_impl(\n                idata_api_base=\"https://idata.example.com\",\n                api_key=\"test-api-key\",\n                user_id=\"test-user-id\",\n                knowledge_space_id=None\n            )\n\n        assert hasattr(exc_info.value, 'error_code')\n        assert exc_info.value.error_code.value == ErrorCode.IDATA_CONFIG_INVALID.value\n\n    def test_fetch_idata_datasets_impl_validation_error_knowledge_space_id_non_string(self):\n        \"\"\"Test fetching with non-string knowledge space ID raises validation error.\"\"\"\n        from backend.services.idata_service import fetch_idata_datasets_impl\n\n        with pytest.raises(Exception) as exc_info:\n            fetch_idata_datasets_impl(\n                idata_api_base=\"https://idata.example.com\",\n                api_key=\"test-api-key\",\n                user_id=\"test-user-id\",\n                knowledge_space_id=12345\n            )\n\n        assert hasattr(exc_info.value, 'error_code')\n        assert exc_info.value.error_code.value == ErrorCode.IDATA_CONFIG_INVALID.value\n\n    def test_fetch_idata_datasets_impl_with_trailing_slash(self):\n        \"\"\"Test fetching with API base URL that has trailing slash.\"\"\"\n        from backend.services.idata_service import fetch_idata_datasets_impl\n\n        mock_response = MagicMock()\n        mock_response.json.return_value = {\n            \"code\": \"1\",\n            \"msg\": \"Success\",\n            \"data\": [{\"id\": \"kb-1\", \"name\": \"KB 1\", \"fileCount\": 5}]\n        }\n        mock_response.raise_for_status = MagicMock()\n\n        mock_client = _create_mock_client(mock_response)\n\n        with patch('backend.services.idata_service.http_client_manager') as mock_manager:\n            mock_manager.get_sync_client.return_value = mock_client\n\n            result = fetch_idata_datasets_impl(\n                idata_api_base=\"https://idata.example.com/\",\n                api_key=\"test-api-key\",\n                user_id=\"test-user-id\",\n                knowledge_space_id=\"space-1\"\n            )\n\n        assert result[\"count\"] == 1\n        # Verify URL normalization worked (no double slash)\n        call_args = mock_client.post.call_args\n        assert \"//apiaccess\" not in call_args[0][0]\n"
  },
  {
    "path": "test/backend/services/test_image_service.py",
    "content": "import sys\nfrom pathlib import Path\n\nimport pytest\nfrom unittest.mock import AsyncMock, MagicMock, patch\n\nTEST_ROOT = Path(__file__).resolve().parents[2]\nif str(TEST_ROOT) not in sys.path:\n    sys.path.append(str(TEST_ROOT))\n\nfrom test.common.test_mocks import bootstrap_test_env\n\nhelpers_env = bootstrap_test_env()\n\nhelpers_env[\"mock_const\"].DATA_PROCESS_SERVICE = \"http://mock-data-process-service\"\nhelpers_env[\"mock_const\"].MODEL_CONFIG_MAPPING = {\"vlm\": \"vlm_model_config\"}\nmock_const = helpers_env[\"mock_const\"]\n\nfrom services.image_service import get_vlm_model, proxy_image_impl\n\n# Sample test data\ntest_url = \"https://example.com/image.jpg\"\nsuccess_response = {\n    \"success\": True,\n    \"data\": \"base64_encoded_image_data\",\n    \"mime_type\": \"image/jpeg\"\n}\nerror_response = {\n    \"success\": False,\n    \"error\": \"Failed to fetch image or image format not supported\"\n}\n\n\n@pytest.mark.asyncio\nasync def test_proxy_image_impl_success():\n    \"\"\"Test successful image proxy implementation\"\"\"\n    # Create mock response\n    mock_response = AsyncMock()\n    mock_response.status = 200\n    mock_response.json = AsyncMock(return_value=success_response)\n\n    # Create mock session\n    mock_session = AsyncMock()\n    mock_get = AsyncMock()\n    mock_get.__aenter__.return_value = mock_response\n    mock_session.get = MagicMock(return_value=mock_get)\n\n    # Create mock session factory\n    mock_client_session = AsyncMock()\n    mock_client_session.__aenter__.return_value = mock_session\n\n    # Patch the ClientSession\n    with patch('services.image_service.aiohttp.ClientSession') as mock_session_class:\n        mock_session_class.return_value = mock_client_session\n\n        # Test the function\n        result = await proxy_image_impl(test_url)\n\n        # Assertions\n        assert result == success_response\n\n        # Verify correct URL was called\n        mock_session.get.assert_called_once()\n        called_url = mock_session.get.call_args[0][0]\n        assert \"http://mock-data-process-service/tasks/load_image\" in called_url\n        assert f\"url={test_url}\" in called_url\n\n\n@pytest.mark.asyncio\nasync def test_proxy_image_impl_remote_error():\n    \"\"\"Test image proxy implementation when remote service returns error\"\"\"\n    # Create mock response\n    mock_response = AsyncMock()\n    mock_response.status = 404\n    mock_response.text = AsyncMock(return_value=\"Image not found\")\n\n    # Create mock session\n    mock_session = AsyncMock()\n    mock_get = AsyncMock()\n    mock_get.__aenter__.return_value = mock_response\n    mock_session.get = MagicMock(return_value=mock_get)\n\n    # Create mock session factory\n    mock_client_session = AsyncMock()\n    mock_client_session.__aenter__.return_value = mock_session\n\n    # Patch the ClientSession\n    with patch('services.image_service.aiohttp.ClientSession') as mock_session_class:\n        mock_session_class.return_value = mock_client_session\n\n        # Test the function\n        result = await proxy_image_impl(test_url)\n\n        # Assertions\n        assert result[\"success\"] is False\n        assert result[\"error\"] == \"Failed to fetch image or image format not supported\"\n\n        # Verify correct URL was called\n        mock_session.get.assert_called_once()\n\n\n@pytest.mark.asyncio\nasync def test_proxy_image_impl_500_error():\n    \"\"\"Test image proxy implementation when remote service returns 500 error\"\"\"\n    # Create mock response\n    mock_response = AsyncMock()\n    mock_response.status = 500\n    mock_response.text = AsyncMock(return_value=\"Internal server error\")\n\n    # Create mock session\n    mock_session = AsyncMock()\n    mock_get = AsyncMock()\n    mock_get.__aenter__.return_value = mock_response\n    mock_session.get = MagicMock(return_value=mock_get)\n\n    # Create mock session factory\n    mock_client_session = AsyncMock()\n    mock_client_session.__aenter__.return_value = mock_session\n\n    # Patch the ClientSession\n    with patch('services.image_service.aiohttp.ClientSession') as mock_session_class:\n        mock_session_class.return_value = mock_client_session\n\n        # Test the function\n        result = await proxy_image_impl(test_url)\n\n        # Assertions\n        assert result[\"success\"] is False\n        assert result[\"error\"] == \"Failed to fetch image or image format not supported\"\n\n        # Verify correct URL was called\n        mock_session.get.assert_called_once()\n\n\n@pytest.mark.asyncio\nasync def test_proxy_image_impl_connection_exception():\n    \"\"\"Test image proxy implementation when connection exception occurs\"\"\"\n    # Create mock session that raises exception\n    mock_session = AsyncMock()\n    mock_get = AsyncMock()\n    mock_get.__aenter__.side_effect = Exception(\"Connection error\")\n    mock_session.get = MagicMock(return_value=mock_get)\n\n    # Create mock session factory\n    mock_client_session = AsyncMock()\n    mock_client_session.__aenter__.return_value = mock_session\n\n    # Patch the ClientSession\n    with patch('services.image_service.aiohttp.ClientSession') as mock_session_class:\n        mock_session_class.return_value = mock_client_session\n\n        # Test the function - should raise the exception\n        with pytest.raises(Exception) as exc_info:\n            await proxy_image_impl(test_url)\n\n        # Verify the exception message\n        assert \"Connection error\" in str(exc_info.value)\n\n\n@pytest.mark.asyncio\nasync def test_proxy_image_impl_with_special_chars():\n    \"\"\"Test image proxy implementation with URL containing special characters\"\"\"\n    special_url = \"https://example.com/image with spaces.jpg\"\n\n    # Create mock response\n    mock_response = AsyncMock()\n    mock_response.status = 200\n    mock_response.json = AsyncMock(return_value=success_response)\n\n    # Create mock session\n    mock_session = AsyncMock()\n    mock_get = AsyncMock()\n    mock_get.__aenter__.return_value = mock_response\n    mock_session.get = MagicMock(return_value=mock_get)\n\n    # Create mock session factory\n    mock_client_session = AsyncMock()\n    mock_client_session.__aenter__.return_value = mock_session\n\n    # Patch the ClientSession\n    with patch('services.image_service.aiohttp.ClientSession') as mock_session_class:\n        mock_session_class.return_value = mock_client_session\n\n        # Test the function\n        result = await proxy_image_impl(special_url)\n\n        # Assertions\n        assert result == success_response\n\n        # Verify URL was correctly passed\n        mock_session.get.assert_called_once()\n        called_url = mock_session.get.call_args[0][0]\n        assert \"http://mock-data-process-service/tasks/load_image\" in called_url\n        assert f\"url={special_url}\" in called_url\n\n\n@pytest.mark.asyncio\nasync def test_proxy_image_impl_json_parse_error():\n    \"\"\"Test image proxy implementation when JSON parsing fails\"\"\"\n    # Create mock response\n    mock_response = AsyncMock()\n    mock_response.status = 200\n    mock_response.json = AsyncMock(side_effect=Exception(\"Invalid JSON\"))\n\n    # Create mock session\n    mock_session = AsyncMock()\n    mock_get = AsyncMock()\n    mock_get.__aenter__.return_value = mock_response\n    mock_session.get = MagicMock(return_value=mock_get)\n\n    # Create mock session factory\n    mock_client_session = AsyncMock()\n    mock_client_session.__aenter__.return_value = mock_session\n\n    # Patch the ClientSession\n    with patch('services.image_service.aiohttp.ClientSession') as mock_session_class:\n        mock_session_class.return_value = mock_client_session\n\n        # Test the function - should raise the exception\n        with pytest.raises(Exception) as exc_info:\n            await proxy_image_impl(test_url)\n\n        # Verify the exception message\n        assert \"Invalid JSON\" in str(exc_info.value)\n\n\n@pytest.mark.asyncio\nasync def test_proxy_image_impl_different_status_codes():\n    \"\"\"Test image proxy implementation with different HTTP status codes\"\"\"\n    test_cases = [\n        (400, \"Bad Request\"),\n        (401, \"Unauthorized\"),\n        (403, \"Forbidden\"),\n        (429, \"Too Many Requests\"),\n        (502, \"Bad Gateway\"),\n        (503, \"Service Unavailable\")\n    ]\n\n    for status_code, status_text in test_cases:\n        # Create mock response\n        mock_response = AsyncMock()\n        mock_response.status = status_code\n        mock_response.text = AsyncMock(return_value=status_text)\n\n        # Create mock session\n        mock_session = AsyncMock()\n        mock_get = AsyncMock()\n        mock_get.__aenter__.return_value = mock_response\n        mock_session.get = MagicMock(return_value=mock_get)\n\n        # Create mock session factory\n        mock_client_session = AsyncMock()\n        mock_client_session.__aenter__.return_value = mock_session\n\n        # Patch the ClientSession\n        with patch('services.image_service.aiohttp.ClientSession') as mock_session_class:\n            mock_session_class.return_value = mock_client_session\n\n            # Test the function\n            result = await proxy_image_impl(test_url)\n\n            # Assertions\n            assert result[\"success\"] is False\n            assert result[\"error\"] == \"Failed to fetch image or image format not supported\"\n\n            # Verify correct URL was called\n            mock_session.get.assert_called_once()\n\n\n@pytest.mark.asyncio\nasync def test_proxy_image_impl_url_encoding():\n    \"\"\"Test image proxy implementation with URL encoding\"\"\"\n    encoded_url = \"https%3A%2F%2Fexample.com%2Fimage.jpg\"\n    decoded_url = \"https://example.com/image.jpg\"\n\n    # Create mock response\n    mock_response = AsyncMock()\n    mock_response.status = 200\n    mock_response.json = AsyncMock(return_value=success_response)\n\n    # Create mock session\n    mock_session = AsyncMock()\n    mock_get = AsyncMock()\n    mock_get.__aenter__.return_value = mock_response\n    mock_session.get = MagicMock(return_value=mock_get)\n\n    # Create mock session factory\n    mock_client_session = AsyncMock()\n    mock_client_session.__aenter__.return_value = mock_session\n\n    # Patch the ClientSession\n    with patch('services.image_service.aiohttp.ClientSession') as mock_session_class:\n        mock_session_class.return_value = mock_client_session\n\n        # Test the function with encoded URL\n        result = await proxy_image_impl(encoded_url)\n\n        # Assertions\n        assert result == success_response\n\n        # Verify URL was correctly passed (should be URL encoded in the request)\n        mock_session.get.assert_called_once()\n        called_url = mock_session.get.call_args[0][0]\n        assert \"http://mock-data-process-service/tasks/load_image\" in called_url\n        assert f\"url={encoded_url}\" in called_url\n\n\n@patch('services.image_service.OpenAIVLModel')\n@patch('services.image_service.MessageObserver')\n@patch('services.image_service.get_model_name_from_config')\n@patch('services.image_service.tenant_config_manager')\ndef test_get_vlm_model_success(mock_tenant_config_manager, mock_get_model_name, mock_message_observer, mock_openai_vl_model):\n    \"\"\"Ensure get_vlm_model builds OpenAIVLModel with tenant config.\"\"\"\n    mock_config = {\n        \"base_url\": \"https://mock-api\",\n        \"api_key\": \"secret\",\n        \"model_name\": \"gpt-4v\"\n    }\n    mock_tenant_config_manager.get_model_config.return_value = mock_config\n    mock_get_model_name.return_value = \"gpt-4v\"\n    mock_model_instance = MagicMock()\n    mock_openai_vl_model.return_value = mock_model_instance\n\n    result = get_vlm_model(\"tenant-1\")\n\n    mock_tenant_config_manager.get_model_config.assert_called_once_with(\n        key=mock_const.MODEL_CONFIG_MAPPING[\"vlm\"],\n        tenant_id=\"tenant-1\"\n    )\n    mock_message_observer.assert_called_once_with()\n    mock_openai_vl_model.assert_called_once_with(\n        observer=mock_message_observer.return_value,\n        model_id=\"gpt-4v\",\n        api_base=\"https://mock-api\",\n        api_key=\"secret\",\n        temperature=0.7,\n        top_p=0.7,\n        frequency_penalty=0.5,\n        max_tokens=512,\n        ssl_verify=True\n    )\n    assert result == mock_model_instance\n\n\n@patch('services.image_service.OpenAIVLModel')\n@patch('services.image_service.MessageObserver')\n@patch('services.image_service.get_model_name_from_config')\n@patch('services.image_service.tenant_config_manager')\ndef test_get_vlm_model_with_none_config(mock_tenant_config_manager, mock_get_model_name, mock_message_observer, mock_openai_vl_model):\n    \"\"\"Return None when tenant config is None.\"\"\"\n    mock_tenant_config_manager.get_model_config.return_value = None\n    mock_model_instance = MagicMock()\n    mock_openai_vl_model.return_value = mock_model_instance\n\n    result = get_vlm_model(\"tenant-3\")\n\n    # get_model_name_from_config should not be called because config is None\n    mock_get_model_name.assert_not_called()\n    # OpenAIVLModel should not be called when config is None\n    mock_openai_vl_model.assert_not_called()\n    assert result is None\n"
  },
  {
    "path": "test/backend/services/test_invitation_service.py",
    "content": "import sys\nimport pytest\nfrom unittest.mock import patch, MagicMock\n\n# Mock external dependencies before importing\nsys.modules['psycopg2'] = MagicMock()\nsys.modules['boto3'] = MagicMock()\nsys.modules['supabase'] = MagicMock()\n\n# Patch storage factory and MinIO config validation to avoid errors during initialization\n# These patches must be started before any imports that use MinioClient\nstorage_client_mock = MagicMock()\nminio_client_mock = MagicMock()\npatch('nexent.storage.storage_client_factory.create_storage_client_from_config', return_value=storage_client_mock).start()\npatch('nexent.storage.minio_config.MinIOStorageConfig.validate', lambda self: None).start()\npatch('backend.database.client.MinioClient', return_value=minio_client_mock).start()\n\nfrom consts.exceptions import NotFoundException, UnauthorizedError, DuplicateError\nfrom backend.services.invitation_service import (\n    create_invitation_code,\n    update_invitation_code,\n    use_invitation_code,\n    update_invitation_code_status,\n    get_invitations_list,\n    delete_invitation_code,\n    _generate_unique_invitation_code,\n    _normalize_invitation_data,\n    get_invitation_by_code,\n    check_invitation_available\n)\n\n\n@pytest.fixture\ndef mock_user_info():\n    \"\"\"Mock user tenant information\"\"\"\n    return {\n        \"user_tenant_id\": 1,\n        \"user_id\": \"test_user\",\n        \"tenant_id\": \"test_tenant\",\n        \"user_role\": \"SU\"\n    }\n\n\n@pytest.fixture\ndef mock_invitation_info():\n    \"\"\"Mock invitation code information\"\"\"\n    return {\n        \"invitation_id\": 123,\n        \"tenant_id\": \"test_tenant\",\n        \"invitation_code\": \"ABC123\",\n        \"code_type\": \"ADMIN_INVITE\",\n        \"group_ids\": [],\n        \"capacity\": 5,\n        \"expiry_date\": \"2024-12-31T23:59:59\",\n        \"status\": \"IN_USE\"\n    }\n\n\n@patch('backend.services.invitation_service.get_tenant_default_group_id')\n@patch('backend.services.invitation_service.get_user_tenant_by_user_id')\n@patch('backend.services.invitation_service._generate_unique_invitation_code')\n@patch('backend.services.invitation_service.add_invitation')\n@patch('backend.services.invitation_service.query_invitation_by_id')\n@patch('backend.services.invitation_service.update_invitation_code_status')\n@patch('backend.services.invitation_service.query_invitation_by_code')\ndef test_create_invitation_code_admin_invite(\n    mock_query_invitation_by_code,\n    mock_update_status,\n    mock_query_invitation,\n    mock_add_invitation,\n    mock_generate_code,\n    mock_get_user_info,\n    mock_get_tenant_default_group_id,\n    mock_user_info\n):\n    \"\"\"Test creating ADMIN_INVITE invitation code\"\"\"\n    # Setup mocks\n    mock_user_info[\"user_role\"] = \"SU\"\n    mock_get_user_info.return_value = mock_user_info\n    mock_get_tenant_default_group_id.return_value = None\n    mock_generate_code.return_value = \"ABC123\"\n    mock_add_invitation.return_value = 123\n    mock_update_status.return_value = None\n    mock_query_invitation.return_value = {\"status\": \"IN_USE\"}\n    # Mock that the generated code doesn't exist yet\n    mock_query_invitation_by_code.return_value = None\n\n    result = create_invitation_code(\n        tenant_id=\"test_tenant\",\n        code_type=\"ADMIN_INVITE\",\n        user_id=\"test_user\"\n    )\n\n    assert result[\"invitation_id\"] == 123\n    assert result[\"code_type\"] == \"ADMIN_INVITE\"\n    assert result[\"group_ids\"] == []\n    mock_add_invitation.assert_called_once_with(\n        tenant_id=\"test_tenant\",\n        invitation_code=\"ABC123\",\n        code_type=\"ADMIN_INVITE\",\n        group_ids=[],\n        capacity=1,\n        expiry_date=None,\n        status=\"IN_USE\",\n        created_by=\"test_user\"\n    )\n\n\n@patch('backend.services.invitation_service.get_user_tenant_by_user_id')\n@patch('backend.services.invitation_service.query_group_ids_by_user')\n@patch('backend.services.invitation_service._generate_unique_invitation_code')\n@patch('backend.services.invitation_service.add_invitation')\n@patch('backend.services.invitation_service.query_invitation_by_id')\n@patch('backend.services.invitation_service.update_invitation_code_status')\n@patch('backend.services.invitation_service.query_invitation_by_code')\ndef test_create_invitation_code_dev_invite_admin_role(\n    mock_query_invitation_by_code,\n    mock_update_status,\n    mock_query_invitation,\n    mock_add_invitation,\n    mock_generate_code,\n    mock_query_group_ids_by_user,\n    mock_get_user_info,\n    mock_user_info\n):\n    \"\"\"Test creating DEV_INVITE invitation code with ADMIN role\"\"\"\n    # Setup mocks\n    mock_user_info[\"user_role\"] = \"ADMIN\"\n    mock_get_user_info.return_value = mock_user_info\n    mock_query_group_ids_by_user.return_value = [1, 2, 3]\n    mock_generate_code.return_value = \"DEF456\"\n    mock_add_invitation.return_value = 123\n    mock_update_status.return_value = None\n    mock_query_invitation.return_value = {\"status\": \"IN_USE\"}\n    # Mock that the generated code doesn't exist yet\n    mock_query_invitation_by_code.return_value = None\n\n    result = create_invitation_code(\n        tenant_id=\"test_tenant\",\n        code_type=\"DEV_INVITE\",\n        user_id=\"test_user\"\n    )\n\n    assert result[\"invitation_id\"] == 123\n    assert result[\"code_type\"] == \"DEV_INVITE\"\n    assert result[\"group_ids\"] == [1, 2, 3]\n    mock_add_invitation.assert_called_once_with(\n        tenant_id=\"test_tenant\",\n        invitation_code=\"DEF456\",\n        code_type=\"DEV_INVITE\",\n        group_ids=[1, 2, 3],\n        capacity=1,\n        expiry_date=None,\n        status=\"IN_USE\",\n        created_by=\"test_user\"\n    )\n\n\n@patch('backend.services.invitation_service.get_user_tenant_by_user_id')\ndef test_create_invitation_code_invalid_code_type(mock_get_user_info, mock_user_info):\n    \"\"\"Test creating invitation code with invalid code_type\"\"\"\n    # Setup mocks\n    mock_user_info[\"user_role\"] = \"SU\"\n    mock_get_user_info.return_value = mock_user_info\n\n    with pytest.raises(ValueError, match=\"Invalid code_type\"):\n            create_invitation_code(\n                tenant_id=\"test_tenant\",\n                code_type=\"INVALID_TYPE\",\n                user_id=\"test_user\"\n            )\n\n\n@patch('backend.services.invitation_service.get_user_tenant_by_user_id')\ndef test_create_invitation_code_unauthorized_admin_invite(mock_get_user_info, mock_user_info):\n    \"\"\"Test creating ADMIN_INVITE code with insufficient permissions\"\"\"\n    # Setup mocks\n    mock_user_info[\"user_role\"] = \"ADMIN\"\n    mock_get_user_info.return_value = mock_user_info\n\n    with pytest.raises(UnauthorizedError, match=\"not authorized to create ADMIN_INVITE codes\"):\n            create_invitation_code(\n                tenant_id=\"test_tenant\",\n                code_type=\"ADMIN_INVITE\",\n                user_id=\"test_user\"\n            )\n\n\n@patch('backend.services.invitation_service.get_user_tenant_by_user_id')\ndef test_create_invitation_code_unauthorized_dev_invite(mock_get_user_info, mock_user_info):\n    \"\"\"Test creating DEV_INVITE code with insufficient permissions\"\"\"\n    # Setup mocks\n    mock_user_info[\"user_role\"] = \"USER\"\n    mock_get_user_info.return_value = mock_user_info\n\n    with pytest.raises(UnauthorizedError, match=\"not authorized to create DEV_INVITE codes\"):\n            create_invitation_code(\n                tenant_id=\"test_tenant\",\n                code_type=\"DEV_INVITE\",\n                user_id=\"test_user\"\n            )\n\n\n@patch('backend.services.invitation_service.get_user_tenant_by_user_id')\ndef test_create_invitation_code_user_not_found(mock_get_user_info):\n    \"\"\"Test creating invitation code when user is not found\"\"\"\n    # Setup mocks\n    mock_get_user_info.return_value = None\n\n    with pytest.raises(NotFoundException, match=\"User test_user not found\"):\n        create_invitation_code(\n            tenant_id=\"test_tenant\",\n            code_type=\"ADMIN_INVITE\",\n            user_id=\"test_user\"\n        )\n\n\n@patch('backend.services.invitation_service.get_user_tenant_by_user_id')\n@patch('backend.services.invitation_service.query_invitation_by_code')\ndef test_create_invitation_code_duplicate(mock_query_invitation_by_code, mock_get_user_info, mock_user_info):\n    \"\"\"Test creating invitation code with duplicate code raises DuplicateError\"\"\"\n    # Setup mocks\n    mock_user_info[\"user_role\"] = \"SU\"\n    mock_get_user_info.return_value = mock_user_info\n    # Simulate that the invitation code already exists\n    mock_query_invitation_by_code.return_value = {\n        \"invitation_id\": 1,\n        \"invitation_code\": \"EXISTING\",\n        \"status\": \"IN_USE\"\n    }\n\n    with pytest.raises(DuplicateError, match=\"Invitation code 'EXISTING' already exists\"):\n        create_invitation_code(\n            tenant_id=\"test_tenant\",\n            code_type=\"ADMIN_INVITE\",\n            invitation_code=\"existing\",  # lowercase, will be converted to uppercase\n            user_id=\"test_user\"\n        )\n\n    # Verify that query_invitation_by_code was called with the uppercase code\n    mock_query_invitation_by_code.assert_called_once_with(\"EXISTING\")\n\n\n@patch('backend.services.invitation_service.get_tenant_default_group_id')\n@patch('backend.services.invitation_service.get_user_tenant_by_user_id')\n@patch('backend.services.invitation_service._generate_unique_invitation_code')\n@patch('backend.services.invitation_service.add_invitation')\n@patch('backend.services.invitation_service.query_invitation_by_id')\n@patch('backend.services.invitation_service.update_invitation_code_status')\n@patch('backend.services.invitation_service.query_invitation_by_code')\ndef test_create_invitation_code_default_empty_group_ids(\n    mock_query_invitation_by_code,\n    mock_update_status,\n    mock_query_invitation,\n    mock_add_invitation,\n    mock_generate_code,\n    mock_get_user_info,\n    mock_get_tenant_default_group_id,\n    mock_user_info\n):\n    \"\"\"Test creating invitation code with default empty group_ids when no default group found\"\"\"\n    # Setup mocks\n    mock_user_info[\"user_role\"] = \"SU\"\n    mock_get_user_info.return_value = mock_user_info\n    mock_get_tenant_default_group_id.return_value = None  # No default group found\n    mock_generate_code.return_value = \"ABC123\"\n    mock_add_invitation.return_value = 123\n    mock_update_status.return_value = None\n    mock_query_invitation.return_value = {\"status\": \"IN_USE\"}\n    # Mock that the generated code doesn't exist yet\n    mock_query_invitation_by_code.return_value = None\n\n    # Test ADMIN_INVITE with no default group - should result in empty group_ids\n    result = create_invitation_code(\n        tenant_id=\"test_tenant\",\n        code_type=\"ADMIN_INVITE\",\n        user_id=\"test_user\"\n    )\n\n    assert result[\"invitation_id\"] == 123\n    assert result[\"code_type\"] == \"ADMIN_INVITE\"\n    assert result[\"group_ids\"] == []  # Should be empty list when default group is None\n    mock_add_invitation.assert_called_once()\n    call_args = mock_add_invitation.call_args[1]\n    assert call_args[\"group_ids\"] == []\n\n\n@patch('backend.services.invitation_service.get_tenant_default_group_id')\n@patch('backend.services.invitation_service.get_user_tenant_by_user_id')\n@patch('backend.services.invitation_service.add_invitation')\n@patch('backend.services.invitation_service.query_invitation_by_id')\n@patch('backend.services.invitation_service.update_invitation_code_status')\n@patch('backend.services.invitation_service.query_invitation_by_code')\ndef test_create_invitation_code_provided_code_uppercase_conversion(\n    mock_query_invitation_by_code,\n    mock_update_status,\n    mock_query_invitation,\n    mock_add_invitation,\n    mock_get_user_info,\n    mock_get_tenant_default_group_id,\n    mock_user_info\n):\n    \"\"\"Test creating invitation code with provided code converted to uppercase (line 93)\"\"\"\n    # Setup mocks\n    mock_user_info[\"user_role\"] = \"SU\"\n    mock_get_user_info.return_value = mock_user_info\n    mock_get_tenant_default_group_id.return_value = None\n    mock_add_invitation.return_value = 123\n    mock_update_status.return_value = None\n    mock_query_invitation.return_value = {\"status\": \"IN_USE\"}\n    # Mock that the provided code doesn't exist yet\n    mock_query_invitation_by_code.return_value = None\n\n    result = create_invitation_code(\n        tenant_id=\"test_tenant\",\n        code_type=\"ADMIN_INVITE\",\n        invitation_code=\"abc123\",  # lowercase code\n        user_id=\"test_user\"\n    )\n\n    assert result[\"invitation_code\"] == \"ABC123\"  # Should be converted to uppercase\n    mock_add_invitation.assert_called_once_with(\n        tenant_id=\"test_tenant\",\n        invitation_code=\"ABC123\",  # Should be uppercase in the call\n        code_type=\"ADMIN_INVITE\",\n        group_ids=[],\n        capacity=1,\n        expiry_date=None,\n        status=\"IN_USE\",\n        created_by=\"test_user\"\n    )\n\n\n@patch('backend.services.invitation_service.get_user_tenant_by_user_id')\n@patch('backend.services.invitation_service.modify_invitation')\n@patch('backend.services.invitation_service.update_invitation_code_status')\ndef test_update_invitation_code_success(mock_update_status, mock_modify_invitation, mock_get_user_info, mock_user_info):\n    \"\"\"Test updating invitation code successfully\"\"\"\n    mock_get_user_info.return_value = mock_user_info\n    mock_modify_invitation.return_value = True\n    mock_update_status.return_value = None\n\n    result = update_invitation_code(\n        invitation_id=123,\n        updates={\"status\": \"DISABLE\"},\n        user_id=\"test_user\"\n    )\n\n    assert result is True\n    mock_modify_invitation.assert_called_once_with(\n        invitation_id=123,\n        updates={\"status\": \"DISABLE\"},\n        updated_by=\"test_user\"\n    )\n\n\n@patch('backend.services.invitation_service.get_user_tenant_by_user_id')\ndef test_update_invitation_code_user_not_found(mock_get_user_info):\n    \"\"\"Test updating invitation code when user is not found\"\"\"\n    # Setup mocks\n    mock_get_user_info.return_value = None\n\n    with pytest.raises(UnauthorizedError, match=\"User test_user not found\"):\n        update_invitation_code(\n            invitation_id=123,\n            updates={\"status\": \"DISABLE\"},\n            user_id=\"test_user\"\n        )\n\n\n@patch('backend.services.invitation_service.get_user_tenant_by_user_id')\ndef test_update_invitation_code_unauthorized_user_role(mock_get_user_info, mock_user_info):\n    \"\"\"Test updating invitation code with unauthorized user role\"\"\"\n    # Setup mocks\n    mock_user_info[\"user_role\"] = \"USER\"  # Not SU or ADMIN\n    mock_get_user_info.return_value = mock_user_info\n\n    with pytest.raises(UnauthorizedError, match=\"not authorized to update invitation codes\"):\n        update_invitation_code(\n            invitation_id=123,\n            updates={\"status\": \"DISABLE\"},\n            user_id=\"test_user\"\n        )\n\n\ndef test_normalize_invitation_data_empty_input():\n    \"\"\"Test _normalize_invitation_data with empty input (lines 180-181)\"\"\"\n    # Test with None input\n    result = _normalize_invitation_data(None)\n    assert result is None\n\n    # Test with empty dict input\n    result = _normalize_invitation_data({})\n    assert result == {}\n\n\ndef test_normalize_invitation_data_datetime_conversion():\n    \"\"\"Test _normalize_invitation_data datetime to ISO conversion (lines 188-189)\"\"\"\n    from datetime import datetime\n\n    test_datetime = datetime(2024, 12, 31, 23, 59, 59)\n    input_data = {\n        \"invitation_id\": 123,\n        \"created_at\": test_datetime,\n        \"updated_at\": test_datetime,\n        \"capacity\": 5,\n        \"group_ids\": [1, 2, 3]\n    }\n\n    result = _normalize_invitation_data(input_data)\n\n    # Check that datetime objects are converted to ISO strings\n    assert result[\"created_at\"] == \"2024-12-31T23:59:59\"\n    assert result[\"updated_at\"] == \"2024-12-31T23:59:59\"\n    # Other fields should remain unchanged\n    assert result[\"invitation_id\"] == 123\n    assert result[\"capacity\"] == 5\n    assert result[\"group_ids\"] == [1, 2, 3]\n\n\ndef test_normalize_invitation_data_group_ids_conversion():\n    \"\"\"Test _normalize_invitation_data group_ids string/list conversion (lines 199-202)\"\"\"\n    # Test string to list conversion (comma-separated format from database)\n    input_data_string = {\n        \"invitation_id\": 123,\n        \"group_ids\": \"1,2,3\"\n    }\n    result = _normalize_invitation_data(input_data_string)\n    assert result[\"group_ids\"] == [1, 2, 3]\n\n    # Test None to empty list conversion\n    input_data_none = {\n        \"invitation_id\": 123,\n        \"group_ids\": None\n    }\n    result = _normalize_invitation_data(input_data_none)\n    assert result[\"group_ids\"] == []\n\n    # Test list remains unchanged\n    input_data_list = {\n        \"invitation_id\": 123,\n        \"group_ids\": [4, 5, 6]\n    }\n    result = _normalize_invitation_data(input_data_list)\n    assert result[\"group_ids\"] == [4, 5, 6]\n\n\n@patch('backend.services.invitation_service.count_invitation_usage')\n@patch('backend.services.invitation_service.query_invitation_by_code')\ndef test_get_invitation_by_code_success(mock_query_invitation_by_code, mock_count_usage):\n    \"\"\"Test get_invitation_by_code function success case (lines 217-218)\"\"\"\n    mock_data = {\n        \"invitation_id\": 123,\n        \"invitation_code\": \"ABC123\",\n        \"code_type\": \"ADMIN_INVITE\",\n        \"group_ids\": \"1,2,3\",  # Comma-separated string format from database\n        \"capacity\": 5,\n        \"status\": \"IN_USE\"\n    }\n    mock_query_invitation_by_code.return_value = mock_data\n    mock_count_usage.return_value = 2  # Less than capacity, so status should remain IN_USE\n\n    result = get_invitation_by_code(\"ABC123\")\n\n    assert result is not None\n    assert result[\"invitation_id\"] == 123\n    assert result[\"invitation_code\"] == \"ABC123\"\n    assert result[\"group_ids\"] == [1, 2, 3]  # Should be normalized\n    assert result[\"status\"] == \"IN_USE\"  # Should maintain status\n    mock_query_invitation_by_code.assert_called_once_with(\"ABC123\")\n    mock_count_usage.assert_called_once_with(123)\n\n\n@patch('backend.services.invitation_service.query_invitation_by_code')\ndef test_get_invitation_by_code_not_found(mock_query_invitation_by_code):\n    \"\"\"Test get_invitation_by_code function when invitation not found\"\"\"\n    mock_query_invitation_by_code.return_value = None\n\n    result = get_invitation_by_code(\"NONEXISTENT\")\n\n    assert result is None\n    mock_query_invitation_by_code.assert_called_once_with(\"NONEXISTENT\")\n\n\n@patch('backend.services.invitation_service.query_invitation_by_code')\n@patch('backend.services.invitation_service.count_invitation_usage')\ndef test_check_invitation_available_not_found(mock_count_usage, mock_query_invitation_by_code):\n    \"\"\"Test check_invitation_available when invitation not found (line 231-233)\"\"\"\n    mock_query_invitation_by_code.return_value = None\n\n    result = check_invitation_available(\"NONEXISTENT\")\n\n    assert result is False\n    mock_query_invitation_by_code.assert_called_once_with(\"NONEXISTENT\")\n    mock_count_usage.assert_not_called()\n\n\n@patch('backend.services.invitation_service.query_invitation_by_code')\n@patch('backend.services.invitation_service.count_invitation_usage')\ndef test_check_invitation_available_not_in_use(mock_count_usage, mock_query_invitation_by_code):\n    \"\"\"Test check_invitation_available when status is not IN_USE (lines 235-237)\"\"\"\n    mock_query_invitation_by_code.return_value = {\n        \"invitation_id\": 123,\n        \"status\": \"EXPIRE\",\n        \"capacity\": 5\n    }\n\n    result = check_invitation_available(\"ABC123\")\n\n    assert result is False\n    mock_query_invitation_by_code.assert_called_once_with(\"ABC123\")\n    mock_count_usage.assert_not_called()\n\n\n@patch('backend.services.invitation_service.query_invitation_by_code')\n@patch('backend.services.invitation_service.count_invitation_usage')\ndef test_check_invitation_available_capacity_exceeded(mock_count_usage, mock_query_invitation_by_code):\n    \"\"\"Test check_invitation_available when capacity exceeded (lines 239-241)\"\"\"\n    mock_query_invitation_by_code.return_value = {\n        \"invitation_id\": 123,\n        \"status\": \"IN_USE\",\n        \"capacity\": 5\n    }\n    mock_count_usage.return_value = 5  # At capacity\n\n    result = check_invitation_available(\"ABC123\")\n\n    assert result is False\n    mock_query_invitation_by_code.assert_called_once_with(\"ABC123\")\n    mock_count_usage.assert_called_once_with(123)\n\n\n@patch('backend.services.invitation_service.query_invitation_by_code')\n@patch('backend.services.invitation_service.count_invitation_usage')\ndef test_check_invitation_available_success(mock_count_usage, mock_query_invitation_by_code):\n    \"\"\"Test check_invitation_available success case\"\"\"\n    mock_query_invitation_by_code.return_value = {\n        \"invitation_id\": 123,\n        \"status\": \"IN_USE\",\n        \"capacity\": 5\n    }\n    mock_count_usage.return_value = 2  # Below capacity\n\n    result = check_invitation_available(\"ABC123\")\n\n    assert result is True\n    mock_query_invitation_by_code.assert_called_once_with(\"ABC123\")\n    mock_count_usage.assert_called_once_with(123)\n\n\n@patch('backend.services.invitation_service.check_invitation_available')\n@patch('backend.services.invitation_service.query_invitation_by_code')\n@patch('backend.services.invitation_service.add_invitation_record')\n@patch('backend.services.invitation_service.update_invitation_code_status')\ndef test_use_invitation_code_success(\n    mock_update_status,\n    mock_add_invitation_record,\n    mock_query_invitation_by_code,\n    mock_check_available,\n    mock_invitation_info\n):\n    \"\"\"Test using invitation code successfully\"\"\"\n    mock_check_available.return_value = True\n    mock_query_invitation_by_code.return_value = mock_invitation_info\n    mock_add_invitation_record.return_value = 456\n\n    result = use_invitation_code(\n        invitation_code=\"ABC123\",\n        user_id=\"test_user\"\n    )\n\n    assert result[\"invitation_record_id\"] == 456\n    assert result[\"invitation_code\"] == \"ABC123\"\n    assert result[\"code_type\"] == \"ADMIN_INVITE\"\n    assert result[\"group_ids\"] == []\n    mock_add_invitation_record.assert_called_once_with(\n        invitation_id=123,\n        user_id=\"test_user\",\n        created_by=\"test_user\"\n    )\n    mock_update_status.assert_called_once_with(123)\n\n\n@patch('backend.services.invitation_service.check_invitation_available')\ndef test_use_invitation_code_unavailable(mock_check_available):\n    \"\"\"Test using unavailable invitation code\"\"\"\n    mock_check_available.return_value = False\n\n    with pytest.raises(NotFoundException, match=\"is not available\"):\n        use_invitation_code(\n            invitation_code=\"ABC123\",\n            user_id=\"test_user\"\n        )\n\n\n@patch('backend.services.invitation_service.check_invitation_available')\n@patch('backend.services.invitation_service.query_invitation_by_code')\ndef test_use_invitation_code_double_check_not_found(mock_query_invitation_by_code, mock_check_available):\n    \"\"\"Test use_invitation_code double check logic when invitation not found (lines 267-268)\"\"\"\n    # First check passes\n    mock_check_available.return_value = True\n    # But second check fails (double-check logic)\n    mock_query_invitation_by_code.return_value = None\n\n    with pytest.raises(NotFoundException, match=\"not found\"):\n        use_invitation_code(\n            invitation_code=\"ABC123\",\n            user_id=\"test_user\"\n        )\n\n    # Verify both functions are called\n    mock_check_available.assert_called_once_with(\"ABC123\")\n    mock_query_invitation_by_code.assert_called_once_with(\"ABC123\")\n\n\n@patch('backend.services.invitation_service.query_invitation_by_id')\n@patch('backend.services.invitation_service.count_invitation_usage')\n@patch('backend.services.invitation_service.modify_invitation')\ndef test_update_invitation_code_status_expired(\n    mock_modify_invitation,\n    mock_count_invitation_usage,\n    mock_query_invitation_by_code,\n    mock_invitation_info\n):\n    \"\"\"Test updating invitation status to expired\"\"\"\n    from datetime import datetime\n\n    # Mock expired invitation\n    mock_invitation_info[\"expiry_date\"] = \"2020-01-01T00:00:00\"\n    mock_query_invitation_by_code.return_value = mock_invitation_info\n    mock_count_invitation_usage.return_value = 2\n\n    result = update_invitation_code_status(123)\n\n    assert result is True\n    mock_modify_invitation.assert_called_once_with(\n        invitation_id=123,\n        updates={\"status\": \"EXPIRE\"},\n        updated_by=\"system\"\n    )\n\n\n@patch('backend.services.invitation_service.query_invitation_by_id')\n@patch('backend.services.invitation_service.count_invitation_usage')\n@patch('backend.services.invitation_service.modify_invitation')\ndef test_update_invitation_code_status_run_out(\n    mock_modify_invitation,\n    mock_count_invitation_usage,\n    mock_query_invitation_by_code\n):\n    \"\"\"Test updating invitation status to run out\"\"\"\n    from datetime import datetime\n\n    # Mock invitation at capacity with future expiry date\n    future_date = datetime.now().replace(year=datetime.now().year + 1).isoformat()\n    mock_query_invitation_by_code.return_value = {\n        \"invitation_id\": 123,\n        \"expiry_date\": future_date,  # Ensure it's not expired\n        \"capacity\": 5,\n        \"status\": \"IN_USE\"\n    }\n    mock_count_invitation_usage.return_value = 5  # At capacity\n\n    result = update_invitation_code_status(123)\n\n    assert result is True\n    mock_modify_invitation.assert_called_once_with(\n        invitation_id=123,\n        updates={\"status\": \"RUN_OUT\"},\n        updated_by=\"system\"\n    )\n\n\n@patch('backend.services.invitation_service.query_invitation_by_id')\ndef test_update_invitation_code_status_invitation_not_found(mock_query_invitation_by_id):\n    \"\"\"Test update_invitation_code_status when invitation not found (lines 304-305)\"\"\"\n    mock_query_invitation_by_id.return_value = None\n\n    result = update_invitation_code_status(999)\n\n    assert result is False\n    mock_query_invitation_by_id.assert_called_once_with(999)\n\n\n@patch('backend.services.invitation_service.query_invitation_by_id')\n@patch('backend.services.invitation_service.count_invitation_usage')\ndef test_update_invitation_code_status_invalid_expiry_date(mock_count_invitation_usage, mock_query_invitation_by_id):\n    \"\"\"Test update_invitation_code_status with invalid expiry date handling (lines 317-327)\"\"\"\n    # Mock invitation with invalid expiry date\n    mock_query_invitation_by_id.return_value = {\n        \"invitation_id\": 123,\n        \"expiry_date\": \"invalid-date-format\",\n        \"capacity\": 5,\n        \"status\": \"IN_USE\"\n    }\n    mock_count_invitation_usage.return_value = 2\n\n    result = update_invitation_code_status(123)\n\n    # Should return False because status didn't change and invalid date was logged but not crashed\n    assert result is False\n    mock_query_invitation_by_id.assert_called_once_with(123)\n    mock_count_invitation_usage.assert_called_once_with(123)\n\n\n@patch('backend.services.invitation_service.query_invitation_by_id')\n@patch('backend.services.invitation_service.count_invitation_usage')\n@patch('backend.services.invitation_service.modify_invitation')\ndef test_update_invitation_code_status_recover_from_run_out(mock_modify_invitation, mock_count_invitation_usage, mock_query_invitation_by_id):\n    \"\"\"Test update_invitation_code_status recovers from RUN_OUT to IN_USE when capacity increases\"\"\"\n    from datetime import datetime\n\n    # Mock invitation that was RUN_OUT but now capacity increased\n    future_date = datetime.now().replace(year=datetime.now().year + 1).isoformat()\n    mock_query_invitation_by_id.return_value = {\n        \"invitation_id\": 123,\n        \"expiry_date\": future_date,\n        \"capacity\": 10,  # Increased capacity\n        \"status\": \"RUN_OUT\"\n    }\n    mock_count_invitation_usage.return_value = 5  # Usage is now below new capacity\n\n    result = update_invitation_code_status(123)\n\n    # Should return True because status changed from RUN_OUT to IN_USE\n    assert result is True\n    mock_modify_invitation.assert_called_once_with(\n        invitation_id=123,\n        updates={\"status\": \"IN_USE\"},\n        updated_by=\"system\"\n    )\n\n\n@patch('backend.services.invitation_service.query_invitation_by_id')\n@patch('backend.services.invitation_service.count_invitation_usage')\n@patch('backend.services.invitation_service.modify_invitation')\ndef test_update_invitation_code_status_recover_from_expire(mock_modify_invitation, mock_count_invitation_usage, mock_query_invitation_by_id):\n    \"\"\"Test update_invitation_code_status recovers from EXPIRE to IN_USE when expiry date is extended\"\"\"\n    from datetime import datetime\n\n    # Mock invitation that was EXPIRE but now expiry date is in future\n    future_date = datetime.now().replace(year=datetime.now().year + 1).isoformat()\n    mock_query_invitation_by_id.return_value = {\n        \"invitation_id\": 123,\n        \"expiry_date\": future_date,  # Extended expiry date\n        \"capacity\": 10,\n        \"status\": \"EXPIRE\"\n    }\n    mock_count_invitation_usage.return_value = 5  # Below capacity\n\n    result = update_invitation_code_status(123)\n\n    # Should return True because status changed from EXPIRE to IN_USE\n    assert result is True\n    mock_modify_invitation.assert_called_once_with(\n        invitation_id=123,\n        updates={\"status\": \"IN_USE\"},\n        updated_by=\"system\"\n    )\n\n\n@patch('backend.services.invitation_service.query_invitation_by_id')\n@patch('backend.services.invitation_service.count_invitation_usage')\ndef test_update_invitation_code_status_no_change(mock_count_invitation_usage, mock_query_invitation_by_id):\n    \"\"\"Test update_invitation_code_status when status doesn't change (line 343)\"\"\"\n    from datetime import datetime\n\n    # Mock invitation that's not expired and not at capacity\n    future_date = datetime.now().replace(year=datetime.now().year + 1).isoformat()\n    mock_query_invitation_by_id.return_value = {\n        \"invitation_id\": 123,\n        \"expiry_date\": future_date,\n        \"capacity\": 10,\n        \"status\": \"IN_USE\"\n    }\n    mock_count_invitation_usage.return_value = 5  # Well below capacity\n\n    result = update_invitation_code_status(123)\n\n    # Should return False because status didn't change\n    assert result is False\n    mock_query_invitation_by_id.assert_called_once_with(123)\n    mock_count_invitation_usage.assert_called_once_with(123)\n\n\ndef test_calculate_current_status_empty_invitation_data():\n    \"\"\"Test _calculate_current_status with empty invitation_data (line 276-277)\"\"\"\n    from backend.services.invitation_service import _calculate_current_status\n\n    # Test with None input\n    result = _calculate_current_status(None)\n    assert result is None\n\n    # Test with empty dict input\n    result = _calculate_current_status({})\n    assert result == {}\n\n\ndef test_calculate_current_status_missing_invitation_id():\n    \"\"\"Test _calculate_current_status with missing invitation_id (lines 279-281)\"\"\"\n    from backend.services.invitation_service import _calculate_current_status\n\n    # Test with invitation_data missing invitation_id\n    input_data = {\n        \"code_type\": \"ADMIN_INVITE\",\n        \"capacity\": 5,\n        \"status\": \"IN_USE\"\n    }\n\n    result = _calculate_current_status(input_data)\n\n    # Should return unchanged data since no invitation_id\n    assert result == input_data\n    assert result[\"code_type\"] == \"ADMIN_INVITE\"\n    assert result[\"capacity\"] == 5\n    assert result[\"status\"] == \"IN_USE\"\n\n\n@patch('backend.services.invitation_service.count_invitation_usage')\ndef test_calculate_current_status_datetime_expiry_date(mock_count_usage):\n    \"\"\"Test _calculate_current_status with datetime object expiry_date (lines 296-297)\"\"\"\n    from backend.services.invitation_service import _calculate_current_status\n    from datetime import datetime\n\n    # Mock usage count below capacity\n    mock_count_usage.return_value = 2\n\n    # Test with datetime object expiry_date\n    past_datetime = datetime.now().replace(year=datetime.now().year - 1)  # Expired\n    input_data = {\n        \"invitation_id\": 123,\n        \"expiry_date\": past_datetime,\n        \"capacity\": 5,\n        \"status\": \"IN_USE\"\n    }\n\n    result = _calculate_current_status(input_data)\n\n    # Should set status to EXPIRE due to expired datetime\n    assert result[\"status\"] == \"EXPIRE\"\n\n\n@patch('backend.services.invitation_service.count_invitation_usage')\ndef test_calculate_current_status_string_expiry_date(mock_count_usage):\n    \"\"\"Test _calculate_current_status with string expiry_date conversion (lines 299-300)\"\"\"\n    from backend.services.invitation_service import _calculate_current_status\n    from datetime import datetime\n\n    # Mock usage count below capacity\n    mock_count_usage.return_value = 1\n\n    # Test with ISO string expiry_date (expired) - use format without timezone\n    past_date_str = \"2020-01-01T00:00:00\"\n    input_data = {\n        \"invitation_id\": 123,\n        \"expiry_date\": past_date_str,\n        \"capacity\": 5,\n        \"status\": \"IN_USE\"\n    }\n\n    result = _calculate_current_status(input_data)\n\n    # Should set status to EXPIRE due to expired date string\n    assert result[\"status\"] == \"EXPIRE\"\n\n\n@patch('backend.services.invitation_service.count_invitation_usage')\ndef test_calculate_current_status_expired_check_logic(mock_count_usage):\n    \"\"\"Test _calculate_current_status expiry check logic (lines 301-302)\"\"\"\n    from backend.services.invitation_service import _calculate_current_status\n    from datetime import datetime\n\n    # Mock usage count below capacity\n    mock_count_usage.return_value = 1\n\n    # Test with future expiry date (should not expire)\n    future_datetime = datetime.now().replace(year=datetime.now().year + 1)\n    input_data = {\n        \"invitation_id\": 123,\n        \"expiry_date\": future_datetime,\n        \"capacity\": 5,\n        \"status\": \"IN_USE\"\n    }\n\n    result = _calculate_current_status(input_data)\n\n    # Should keep original status since not expired\n    assert result[\"status\"] == \"IN_USE\"\n\n\n@patch('backend.services.invitation_service.logger')\n@patch('backend.services.invitation_service.count_invitation_usage')\ndef test_calculate_current_status_invalid_expiry_date_format(mock_count_usage, mock_logger):\n    \"\"\"Test _calculate_current_status with invalid expiry_date format (lines 303-304)\"\"\"\n    from backend.services.invitation_service import _calculate_current_status\n\n    # Mock usage count below capacity\n    mock_count_usage.return_value = 1\n\n    # Test with invalid expiry_date format\n    input_data = {\n        \"invitation_id\": 123,\n        \"expiry_date\": \"invalid-date-format\",\n        \"capacity\": 5,\n        \"status\": \"IN_USE\"\n    }\n\n    result = _calculate_current_status(input_data)\n\n    # Should keep original status and log warning\n    assert result[\"status\"] == \"IN_USE\"\n    mock_logger.warning.assert_called_once_with(\"Invalid expiry_date format for invitation 123: invalid-date-format\")\n\n\n@patch('backend.services.invitation_service.count_invitation_usage')\ndef test_calculate_current_status_capacity_check(mock_count_usage):\n    \"\"\"Test _calculate_current_status capacity check logic (lines 307-308)\"\"\"\n    from backend.services.invitation_service import _calculate_current_status\n    from datetime import datetime\n\n    # Mock usage count at capacity\n    mock_count_usage.return_value = 5\n\n    # Test with capacity reached\n    future_datetime = datetime.now().replace(year=datetime.now().year + 1)  # Not expired\n    input_data = {\n        \"invitation_id\": 123,\n        \"expiry_date\": future_datetime,\n        \"capacity\": 5,\n        \"status\": \"IN_USE\"\n    }\n\n    result = _calculate_current_status(input_data)\n\n    # Should set status to RUN_OUT due to capacity exceeded\n    assert result[\"status\"] == \"RUN_OUT\"\n\n\n@patch('backend.services.invitation_service.query_invitation_by_code')\ndef test_generate_unique_invitation_code(mock_query_invitation_by_code):\n    \"\"\"Test generating unique invitation code\"\"\"\n    # Mock that first code exists, second doesn't\n    mock_query_invitation_by_code.side_effect = [True, None]\n\n    with patch('random.choices') as mock_random:\n        mock_random.return_value = ['A', 'B', 'C', '1', '2', '3']\n\n        result = _generate_unique_invitation_code()\n\n        assert result == \"ABC123\"\n        assert len(result) == 6\n\n\n@patch('backend.services.invitation_service.query_invitation_by_code')\ndef test_generate_unique_invitation_code_uniqueness_logic(mock_query_invitation_by_code):\n    \"\"\"Test _generate_unique_invitation_code uniqueness logic (line 359)\"\"\"\n    # Mock that first two codes exist, third doesn't\n    mock_query_invitation_by_code.side_effect = [True, True, None]\n\n    with patch('random.choices') as mock_random:\n        # First call returns existing code, second call also returns existing code, third call succeeds\n        mock_random.side_effect = [\n            ['A', 'B', 'C', '1', '2', '3'],  # First attempt - exists\n            ['D', 'E', 'F', '4', '5', '6'],  # Second attempt - exists\n            ['G', 'H', 'I', '7', '8', '9']   # Third attempt - doesn't exist\n        ]\n\n        result = _generate_unique_invitation_code()\n\n        assert result == \"GHI789\"\n        assert len(result) == 6\n        # Should be called 3 times: twice for existing codes, once for success\n        assert mock_query_invitation_by_code.call_count == 3\n\n\n@patch('backend.services.invitation_service.query_invitation_by_code')\ndef test_generate_unique_invitation_code_max_attempts_exception(mock_query_invitation_by_code):\n    \"\"\"Test _generate_unique_invitation_code max attempts exception (line 369)\"\"\"\n    # Mock that all codes exist (never find a unique one)\n    mock_query_invitation_by_code.return_value = True\n\n    with patch('random.choices') as mock_random:\n        mock_random.return_value = ['A', 'B', 'C', '1', '2', '3']\n\n        with pytest.raises(RuntimeError, match=\"Failed to generate unique invitation code after 100 attempts\"):\n            _generate_unique_invitation_code()\n\n        # Should be called 100 times (max_attempts)\n        assert mock_query_invitation_by_code.call_count == 100\n\n\n@patch('backend.services.invitation_service.get_user_tenant_by_user_id')\n@patch('backend.services.invitation_service.query_invitations_with_pagination')\ndef test_get_invitations_list_success(mock_query_invitations, mock_get_user, mock_user_info):\n    \"\"\"Test getting invitations list successfully\"\"\"\n    mock_get_user.return_value = mock_user_info\n\n    mock_invitations_data = {\n        \"items\": [\n            {\n                \"invitation_id\": 123,\n                \"invitation_code\": \"ABC123\",\n                \"code_type\": \"ADMIN_INVITE\",\n                \"group_ids\": [],\n                \"capacity\": 5,\n                \"expiry_date\": \"2024-12-31T23:59:59\",\n                \"status\": \"IN_USE\"\n            }\n        ],\n        \"total\": 1,\n        \"page\": 1,\n        \"page_size\": 10\n    }\n    mock_query_invitations.return_value = mock_invitations_data\n\n    result = get_invitations_list(\n        tenant_id=\"test_tenant\",\n        page=1,\n        page_size=10,\n        user_id=\"test_user\"\n    )\n\n    assert result[\"total\"] == 1\n    assert len(result[\"items\"]) == 1\n    assert result[\"items\"][0][\"invitation_code\"] == \"ABC123\"\n    mock_query_invitations.assert_called_once_with(\n        tenant_id=\"test_tenant\",\n        page=1,\n        page_size=10,\n        sort_by=None,\n        sort_order=None\n    )\n\n\n@patch('backend.services.invitation_service.get_user_tenant_by_user_id')\n@patch('backend.services.invitation_service.query_invitations_with_pagination')\ndef test_get_invitations_list_with_sorting(mock_query_invitations, mock_get_user, mock_user_info):\n    \"\"\"Test getting invitations list with sorting parameters\"\"\"\n    mock_get_user.return_value = mock_user_info\n\n    mock_invitations_data = {\n        \"items\": [\n            {\n                \"invitation_id\": 123,\n                \"invitation_code\": \"ABC123\",\n                \"code_type\": \"ADMIN_INVITE\",\n                \"group_ids\": [],\n                \"capacity\": 5,\n                \"expiry_date\": \"2024-12-31T23:59:59\",\n                \"status\": \"IN_USE\",\n                \"update_time\": \"2024-01-02T10:00:00\"\n            }\n        ],\n        \"total\": 1,\n        \"page\": 1,\n        \"page_size\": 10\n    }\n    mock_query_invitations.return_value = mock_invitations_data\n\n    result = get_invitations_list(\n        tenant_id=\"test_tenant\",\n        page=1,\n        page_size=10,\n        user_id=\"test_user\",\n        sort_by=\"update_time\",\n        sort_order=\"desc\"\n    )\n\n    assert result[\"total\"] == 1\n    assert len(result[\"items\"]) == 1\n    assert result[\"items\"][0][\"invitation_code\"] == \"ABC123\"\n    mock_query_invitations.assert_called_once_with(\n        tenant_id=\"test_tenant\",\n        page=1,\n        page_size=10,\n        sort_by=\"update_time\",\n        sort_order=\"desc\"\n    )\n\n\n@patch('backend.services.invitation_service.get_user_tenant_by_user_id')\ndef test_get_invitations_list_user_not_found(mock_get_user):\n    \"\"\"Test getting invitations list when user doesn't exist\"\"\"\n    mock_get_user.return_value = None\n\n    with pytest.raises(UnauthorizedError, match=\"User test_user not found\"):\n        get_invitations_list(\n            tenant_id=\"test_tenant\",\n            page=1,\n            page_size=10,\n            user_id=\"test_user\"\n        )\n\n\n@patch('backend.services.invitation_service.get_user_tenant_by_user_id')\n@patch('backend.services.invitation_service.query_invitations_with_pagination')\ndef test_get_invitations_list_unauthorized_user_role(mock_query_invitations, mock_get_user, mock_user_info):\n    \"\"\"Test getting invitations list with unauthorized user role\"\"\"\n    mock_user_info[\"user_role\"] = \"USER\"\n    mock_get_user.return_value = mock_user_info\n\n    with pytest.raises(UnauthorizedError, match=\"not authorized to view invitation lists\"):\n        get_invitations_list(\n            tenant_id=\"test_tenant\",\n            page=1,\n            page_size=10,\n            user_id=\"test_user\"\n        )\n\n\n@patch('backend.services.invitation_service.get_user_tenant_by_user_id')\ndef test_get_invitations_list_unauthorized_user_role_all_tenants(mock_get_user, mock_user_info):\n    \"\"\"Test getting invitations list for all tenants with insufficient permissions\"\"\"\n    mock_user_info[\"user_role\"] = \"ADMIN\"\n    mock_get_user.return_value = mock_user_info\n\n    with pytest.raises(UnauthorizedError, match=\"not authorized to view all tenant invitations\"):\n        get_invitations_list(\n            tenant_id=None,  # Requesting all tenants\n            page=1,\n            page_size=10,\n            user_id=\"test_user\"\n        )\n\n\n@patch('backend.services.invitation_service.get_user_tenant_by_user_id')\n@patch('backend.services.invitation_service.query_invitation_by_id')\n@patch('backend.services.invitation_service.remove_invitation')\ndef test_delete_invitation_code_success(mock_remove_invitation, mock_query_invitation, mock_get_user, mock_user_info):\n    \"\"\"Test deleting invitation code successfully\"\"\"\n    mock_get_user.return_value = mock_user_info\n    mock_query_invitation.return_value = {\"invitation_id\": 123}\n    mock_remove_invitation.return_value = True\n\n    result = delete_invitation_code(\n        invitation_id=123,\n        user_id=\"test_user\"\n    )\n\n    assert result is True\n    mock_remove_invitation.assert_called_once_with(\n        invitation_id=123,\n        updated_by=\"test_user\"\n    )\n\n\n@patch('backend.services.invitation_service.logger')\n@patch('backend.services.invitation_service.get_user_tenant_by_user_id')\n@patch('backend.services.invitation_service.query_invitation_by_id')\n@patch('backend.services.invitation_service.remove_invitation')\ndef test_delete_invitation_code_success_logging(mock_remove_invitation, mock_query_invitation, mock_get_user, mock_logger, mock_user_info):\n    \"\"\"Test that successful deletion logs the appropriate message (line 205-207)\"\"\"\n    mock_get_user.return_value = mock_user_info\n    mock_query_invitation.return_value = {\"invitation_id\": 123}\n    mock_remove_invitation.return_value = True\n\n    result = delete_invitation_code(\n        invitation_id=123,\n        user_id=\"test_user\"\n    )\n\n    assert result is True\n    mock_logger.info.assert_called_once_with(\"Deleted invitation code 123 by user test_user\")\n\n\n@patch('backend.services.invitation_service.get_user_tenant_by_user_id')\ndef test_delete_invitation_code_unauthorized_user_role(mock_get_user, mock_user_info):\n    \"\"\"Test deleting invitation code with insufficient permissions\"\"\"\n    mock_user_info[\"user_role\"] = \"USER\"\n    mock_get_user.return_value = mock_user_info\n\n    with pytest.raises(UnauthorizedError, match=\"not authorized to delete invitation codes\"):\n        delete_invitation_code(\n            invitation_id=123,\n            user_id=\"test_user\"\n        )\n\n\n@patch('backend.services.invitation_service.get_user_tenant_by_user_id')\n@patch('backend.services.invitation_service.query_invitation_by_id')\ndef test_delete_invitation_code_not_found(mock_query_invitation, mock_get_user, mock_user_info):\n    \"\"\"Test deleting non-existent invitation code\"\"\"\n    mock_get_user.return_value = mock_user_info\n    mock_query_invitation.return_value = None\n\n    with pytest.raises(NotFoundException, match=\"Invitation 123 not found\"):\n        delete_invitation_code(\n            invitation_id=123,\n            user_id=\"test_user\"\n        )\n\n\n@patch('backend.services.invitation_service.count_invitation_usage')\ndef test_calculate_current_status_same_day_not_expired(mock_count_usage):\n    \"\"\"Test _calculate_current_status with same-day expiry date should NOT be expired (new logic)\"\"\"\n    from backend.services.invitation_service import _calculate_current_status\n    from datetime import datetime\n\n    # Mock usage count below capacity\n    mock_count_usage.return_value = 2\n\n    # Test with today's date as expiry - should NOT be expired\n    today = datetime.now().date()\n    today_datetime = datetime.combine(today, datetime.min.time())\n    input_data = {\n        \"invitation_id\": 123,\n        \"expiry_date\": today_datetime,\n        \"capacity\": 5,\n        \"status\": \"IN_USE\"\n    }\n\n    result = _calculate_current_status(input_data)\n\n    # Should keep original status since same day is not expired\n    assert result[\"status\"] == \"IN_USE\"\n\n\n@patch('backend.services.invitation_service.count_invitation_usage')\ndef test_calculate_current_status_yesterday_expired(mock_count_usage):\n    \"\"\"Test _calculate_current_status with yesterday's date as expiry SHOULD be expired\"\"\"\n    from backend.services.invitation_service import _calculate_current_status\n    from datetime import datetime, timedelta\n\n    # Mock usage count below capacity\n    mock_count_usage.return_value = 2\n\n    # Test with yesterday's date as expiry - should be expired\n    yesterday = datetime.now().date() - timedelta(days=1)\n    yesterday_datetime = datetime.combine(yesterday, datetime.min.time())\n    input_data = {\n        \"invitation_id\": 123,\n        \"expiry_date\": yesterday_datetime,\n        \"capacity\": 5,\n        \"status\": \"IN_USE\"\n    }\n\n    result = _calculate_current_status(input_data)\n\n    # Should set status to EXPIRE since yesterday is strictly before today\n    assert result[\"status\"] == \"EXPIRE\"\n\n\n@patch('backend.services.invitation_service.count_invitation_usage')\ndef test_calculate_current_status_same_day_string_not_expired(mock_count_usage):\n    \"\"\"Test _calculate_current_status with same-day string expiry date should NOT be expired (new logic)\"\"\"\n    from backend.services.invitation_service import _calculate_current_status\n    from datetime import datetime\n\n    # Mock usage count below capacity\n    mock_count_usage.return_value = 1\n\n    # Test with today's date as expiry string - should NOT be expired\n    today = datetime.now()\n    today_str = today.strftime(\"%Y-%m-%dT%H:%M:%S\")\n    input_data = {\n        \"invitation_id\": 123,\n        \"expiry_date\": today_str,\n        \"capacity\": 5,\n        \"status\": \"IN_USE\"\n    }\n\n    result = _calculate_current_status(input_data)\n\n    # Should keep original status since same day is not expired\n    assert result[\"status\"] == \"IN_USE\"\n\n\n@patch('backend.services.invitation_service.query_invitation_by_id')\n@patch('backend.services.invitation_service.count_invitation_usage')\n@patch('backend.services.invitation_service.modify_invitation')\ndef test_update_invitation_code_status_same_day_not_expired(\n    mock_modify_invitation,\n    mock_count_usage,\n    mock_query_invitation_by_id\n):\n    \"\"\"Test update_invitation_code_status with today's expiry date should NOT expire\"\"\"\n    from datetime import datetime, timedelta\n\n    # Mock invitation expiring today\n    today = datetime.now().date()\n    today_datetime = datetime.combine(today, datetime.min.time())\n\n    mock_query_invitation_by_id.return_value = {\n        \"invitation_id\": 123,\n        \"expiry_date\": today_datetime.isoformat(),  # Today's date as expiry\n        \"capacity\": 5,\n        \"status\": \"IN_USE\"\n    }\n    mock_count_usage.return_value = 2  # Below capacity\n\n    result = update_invitation_code_status(123)\n\n    # Should return False because status didn't change (today is not expired)\n    assert result is False\n    mock_modify_invitation.assert_not_called()"
  },
  {
    "path": "test/backend/services/test_mcp_container_service.py",
    "content": "\"\"\"\nUnit tests for mcp_container_service.py\nTests the MCPContainerManager class with comprehensive coverage\n\"\"\"\n\nimport sys\nimport os\nimport tempfile\nfrom unittest.mock import patch, MagicMock, AsyncMock\nimport pytest\n\n# Add path for correct imports\nsys.path.insert(0, os.path.join(os.path.dirname(__file__), \"../../../backend\"))\nsys.modules['boto3'] = MagicMock()\n\n# Apply critical patches before importing any modules\npatch('botocore.client.BaseClient._make_api_call', return_value={}).start()\n\n# Patch storage factory and MinIO config validation\nstorage_client_mock = MagicMock()\nminio_mock = MagicMock()\nminio_mock._ensure_bucket_exists = MagicMock()\nminio_mock.client = MagicMock()\npatch('nexent.storage.storage_client_factory.create_storage_client_from_config',\n      return_value=storage_client_mock).start()\npatch('nexent.storage.minio_config.MinIOStorageConfig.validate',\n      lambda self: None).start()\npatch('backend.database.client.MinioClient', return_value=minio_mock).start()\npatch('database.client.MinioClient', return_value=minio_mock).start()\npatch('backend.database.client.minio_client', minio_mock).start()\npatch('elasticsearch.Elasticsearch', return_value=MagicMock()).start()\n\nfrom consts.exceptions import MCPContainerError, MCPConnectionError\nfrom services.mcp_container_service import MCPContainerManager\nfrom nexent.container import ContainerError, ContainerConnectionError\n\n\n# ---------------------------------------------------------------------------\n# Test MCPContainerManager.__init__\n# ---------------------------------------------------------------------------\n\n\nclass TestMCPContainerManagerInit:\n    \"\"\"Test MCPContainerManager initialization\"\"\"\n\n    @patch('services.mcp_container_service.create_container_client_from_config')\n    @patch('services.mcp_container_service.DockerContainerConfig')\n    def test_init_success(self, mock_config_class, mock_create_client):\n        \"\"\"Test successful initialization\"\"\"\n        mock_config = MagicMock()\n        mock_config_class.return_value = mock_config\n\n        mock_client = MagicMock()\n        mock_create_client.return_value = mock_client\n\n        manager = MCPContainerManager(\n            docker_socket_path=\"/var/run/docker.sock\")\n\n        assert manager.client == mock_client\n        mock_config_class.assert_called_once_with(\n            docker_socket_path=\"/var/run/docker.sock\"\n        )\n        mock_create_client.assert_called_once_with(mock_config)\n\n    @patch('services.mcp_container_service.create_container_client_from_config')\n    @patch('services.mcp_container_service.DockerContainerConfig')\n    def test_init_container_error(self, mock_config_class, mock_create_client):\n        \"\"\"Test initialization failure when container client creation fails\"\"\"\n        mock_config = MagicMock()\n        mock_config_class.return_value = mock_config\n\n        mock_create_client.side_effect = ContainerError(\n            \"Cannot connect to Docker\")\n\n        with pytest.raises(MCPContainerError, match=\"Cannot connect to Docker\"):\n            MCPContainerManager(docker_socket_path=\"/var/run/docker.sock\")\n\n    @patch('services.mcp_container_service.create_container_client_from_config')\n    @patch('services.mcp_container_service.DockerContainerConfig')\n    def test_init_default_socket_path(self, mock_config_class, mock_create_client):\n        \"\"\"Test initialization with default socket path\"\"\"\n        mock_config = MagicMock()\n        mock_config_class.return_value = mock_config\n\n        mock_client = MagicMock()\n        mock_create_client.return_value = mock_client\n\n        manager = MCPContainerManager()\n\n        mock_config_class.assert_called_once_with(\n            docker_socket_path=None\n        )\n\n\n# ---------------------------------------------------------------------------\n# Test start_mcp_container\n# ---------------------------------------------------------------------------\n\n\nclass TestStartMCPContainer:\n    \"\"\"Test start_mcp_container method\"\"\"\n\n    @pytest.fixture\n    def mock_manager(self):\n        \"\"\"Create MCPContainerManager instance with mocked client\"\"\"\n        with patch('services.mcp_container_service.create_container_client_from_config'), \\\n                patch('services.mcp_container_service.DockerContainerConfig'):\n            manager = MCPContainerManager()\n            manager.client = MagicMock()\n            return manager\n\n    @pytest.mark.asyncio\n    async def test_start_mcp_container_success(self, mock_manager):\n        \"\"\"Test successful starting of MCP container\"\"\"\n        mock_manager.client.start_container = AsyncMock(return_value={\n            \"container_id\": \"container-123\",\n            \"service_url\": \"http://localhost:5020/mcp\",\n            \"host_port\": \"5020\",\n            \"status\": \"started\",\n            \"container_name\": \"test-service-user1234\"\n        })\n\n        result = await mock_manager.start_mcp_container(\n            service_name=\"test-service\",\n            tenant_id=\"tenant123\",\n            user_id=\"user12345\",\n            full_command=[\"npx\", \"-y\", \"test-mcp\"],\n            env_vars={\"NODE_ENV\": \"production\"},\n            host_port=5020,\n            image=\"node:22-alpine\"\n        )\n\n        assert result[\"container_id\"] == \"container-123\"\n        assert result[\"mcp_url\"] == \"http://localhost:5020/mcp\"\n        assert result[\"host_port\"] == \"5020\"\n        assert result[\"status\"] == \"started\"\n        assert result[\"container_name\"] == \"test-service-user1234\"\n\n        mock_manager.client.start_container.assert_called_once_with(\n            service_name=\"test-service\",\n            tenant_id=\"tenant123\",\n            user_id=\"user12345\",\n            full_command=[\"npx\", \"-y\", \"test-mcp\"],\n            env_vars={\"NODE_ENV\": \"production\"},\n            host_port=5020,\n            image=\"node:22-alpine\"\n        )\n\n    @pytest.mark.asyncio\n    async def test_start_mcp_container_container_error(self, mock_manager):\n        \"\"\"Test starting container when ContainerError occurs\"\"\"\n        mock_manager.client.start_container = AsyncMock(\n            side_effect=ContainerError(\"Container startup failed\"))\n\n        with pytest.raises(MCPContainerError, match=\"Container startup failed\"):\n            await mock_manager.start_mcp_container(\n                service_name=\"test-service\",\n                tenant_id=\"tenant123\",\n                user_id=\"user12345\",\n                full_command=[\"npx\", \"-y\", \"test-mcp\"]\n            )\n\n    @pytest.mark.asyncio\n    async def test_start_mcp_container_connection_error(self, mock_manager):\n        \"\"\"Test starting container when ContainerConnectionError occurs\"\"\"\n        mock_manager.client.start_container = AsyncMock(\n            side_effect=ContainerConnectionError(\"Connection failed\"))\n\n        with pytest.raises(MCPConnectionError, match=\"MCP connection failed\"):\n            await mock_manager.start_mcp_container(\n                service_name=\"test-service\",\n                tenant_id=\"tenant123\",\n                user_id=\"user12345\",\n                full_command=[\"npx\", \"-y\", \"test-mcp\"]\n            )\n\n    @pytest.mark.asyncio\n    async def test_start_mcp_container_without_env_vars(self, mock_manager):\n        \"\"\"Test starting container without environment variables\"\"\"\n        mock_manager.client.start_container = AsyncMock(return_value={\n            \"container_id\": \"container-123\",\n            \"service_url\": \"http://localhost:5020/mcp\",\n            \"host_port\": \"5020\",\n            \"status\": \"started\",\n            \"container_name\": \"test-service-user1234\"\n        })\n\n        result = await mock_manager.start_mcp_container(\n            service_name=\"test-service\",\n            tenant_id=\"tenant123\",\n            user_id=\"user12345\",\n            full_command=[\"npx\", \"-y\", \"test-mcp\"]\n        )\n\n        assert result[\"status\"] == \"started\"\n        mock_manager.client.start_container.assert_called_once_with(\n            service_name=\"test-service\",\n            tenant_id=\"tenant123\",\n            user_id=\"user12345\",\n            full_command=[\"npx\", \"-y\", \"test-mcp\"],\n            env_vars=None,\n            host_port=None,\n            image=None\n        )\n\n    @pytest.mark.asyncio\n    async def test_start_mcp_container_without_full_command(self, mock_manager):\n        \"\"\"Test starting container without full_command (should work as per SDK design)\"\"\"\n        mock_manager.client.start_container = AsyncMock(return_value={\n            \"container_id\": \"container-123\",\n            \"service_url\": \"http://localhost:5020/mcp\",\n            \"host_port\": \"5020\",\n            \"status\": \"started\",\n            \"container_name\": \"test-service-user1234\"\n        })\n\n        result = await mock_manager.start_mcp_container(\n            service_name=\"test-service\",\n            tenant_id=\"tenant123\",\n            user_id=\"user12345\",\n            full_command=None\n        )\n\n        assert result[\"container_id\"] == \"container-123\"\n        assert result[\"mcp_url\"] == \"http://localhost:5020/mcp\"\n        mock_manager.client.start_container.assert_called_once_with(\n            service_name=\"test-service\",\n            tenant_id=\"tenant123\",\n            user_id=\"user12345\",\n            full_command=None,\n            env_vars=None,\n            host_port=None,\n            image=None\n        )\n\n\n# ---------------------------------------------------------------------------\n# Test stop_mcp_container\n# ---------------------------------------------------------------------------\n\n\nclass TestStopMCPContainer:\n    \"\"\"Test stop_mcp_container method\"\"\"\n\n    @pytest.fixture\n    def mock_manager(self):\n        \"\"\"Create MCPContainerManager instance with mocked client\"\"\"\n        with patch('services.mcp_container_service.create_container_client_from_config'), \\\n                patch('services.mcp_container_service.DockerContainerConfig'):\n            manager = MCPContainerManager()\n            manager.client = MagicMock()\n            return manager\n\n    @pytest.mark.asyncio\n    async def test_stop_mcp_container_success(self, mock_manager):\n        \"\"\"Test successful stopping and removal of MCP container\"\"\"\n        mock_manager.client.stop_container = AsyncMock(return_value=True)\n        mock_manager.client.remove_container = AsyncMock(return_value=True)\n\n        result = await mock_manager.stop_mcp_container(\"container-123\")\n\n        assert result is True\n        mock_manager.client.stop_container.assert_called_once_with(\n            \"container-123\")\n        mock_manager.client.remove_container.assert_called_once_with(\n            \"container-123\")\n\n    @pytest.mark.asyncio\n    async def test_stop_mcp_container_stop_not_found(self, mock_manager):\n        \"\"\"Test stopping non-existent container\"\"\"\n        mock_manager.client.stop_container = AsyncMock(return_value=False)\n\n        result = await mock_manager.stop_mcp_container(\"non-existent\")\n\n        assert result is False\n        mock_manager.client.stop_container.assert_called_once_with(\n            \"non-existent\")\n        mock_manager.client.remove_container.assert_not_called()\n\n    @pytest.mark.asyncio\n    async def test_stop_mcp_container_remove_not_found(self, mock_manager):\n        \"\"\"Test removing container when stop succeeds but remove fails (not found)\"\"\"\n        mock_manager.client.stop_container = AsyncMock(return_value=True)\n        mock_manager.client.remove_container = AsyncMock(return_value=False)\n\n        result = await mock_manager.stop_mcp_container(\"container-123\")\n\n        assert result is False\n        mock_manager.client.stop_container.assert_called_once_with(\n            \"container-123\")\n        mock_manager.client.remove_container.assert_called_once_with(\n            \"container-123\")\n\n    @pytest.mark.asyncio\n    async def test_stop_mcp_container_stop_error(self, mock_manager):\n        \"\"\"Test stopping container when ContainerError occurs during stop\"\"\"\n        mock_manager.client.stop_container = AsyncMock(\n            side_effect=ContainerError(\"Stop failed\"))\n\n        with pytest.raises(MCPContainerError, match=\"Failed to stop container\"):\n            await mock_manager.stop_mcp_container(\"container-123\")\n\n        mock_manager.client.stop_container.assert_called_once_with(\n            \"container-123\")\n        mock_manager.client.remove_container.assert_not_called()\n\n    @pytest.mark.asyncio\n    async def test_stop_mcp_container_remove_error(self, mock_manager):\n        \"\"\"Test removing container when ContainerError occurs during remove\"\"\"\n        mock_manager.client.stop_container = AsyncMock(return_value=True)\n        mock_manager.client.remove_container = AsyncMock(\n            side_effect=ContainerError(\"Remove failed\"))\n\n        with pytest.raises(MCPContainerError, match=\"Failed to stop container\"):\n            await mock_manager.stop_mcp_container(\"container-123\")\n\n        mock_manager.client.stop_container.assert_called_once_with(\n            \"container-123\")\n        mock_manager.client.remove_container.assert_called_once_with(\n            \"container-123\")\n\n\n# ---------------------------------------------------------------------------\n# Test list_mcp_containers\n# ---------------------------------------------------------------------------\n\n\nclass TestListMCPContainers:\n    \"\"\"Test list_mcp_containers method\"\"\"\n\n    @pytest.fixture\n    def mock_manager(self):\n        \"\"\"Create MCPContainerManager instance with mocked client\"\"\"\n        with patch('services.mcp_container_service.create_container_client_from_config'), \\\n                patch('services.mcp_container_service.DockerContainerConfig'):\n            manager = MCPContainerManager()\n            manager.client = MagicMock()\n            return manager\n\n    def test_list_mcp_containers_success(self, mock_manager):\n        \"\"\"Test successful listing of MCP containers\"\"\"\n        mock_manager.client.list_containers.return_value = [\n            {\n                \"container_id\": \"container-1\",\n                \"name\": \"service1-user1234\",\n                \"status\": \"running\",\n                \"service_url\": \"http://localhost:5020/mcp\",\n                \"host_port\": \"5020\"\n            },\n            {\n                \"container_id\": \"container-2\",\n                \"name\": \"service2-user1234\",\n                \"status\": \"running\",\n                \"service_url\": \"http://localhost:5021/mcp\",\n                \"host_port\": \"5021\"\n            }\n        ]\n\n        result = mock_manager.list_mcp_containers(tenant_id=\"tenant123\")\n\n        assert len(result) == 2\n        assert result[0][\"container_id\"] == \"container-1\"\n        assert result[0][\"mcp_url\"] == \"http://localhost:5020/mcp\"\n        assert result[1][\"container_id\"] == \"container-2\"\n        assert result[1][\"mcp_url\"] == \"http://localhost:5021/mcp\"\n        mock_manager.client.list_containers.assert_called_once_with(\n            tenant_id=\"tenant123\")\n\n    def test_list_mcp_containers_no_tenant_filter(self, mock_manager):\n        \"\"\"Test listing containers without tenant filter\"\"\"\n        mock_manager.client.list_containers.return_value = [\n            {\n                \"container_id\": \"container-1\",\n                \"name\": \"service1-user1234\",\n                \"status\": \"running\",\n                \"service_url\": \"http://localhost:5020/mcp\",\n                \"host_port\": \"5020\"\n            }\n        ]\n\n        result = mock_manager.list_mcp_containers()\n\n        assert len(result) == 1\n        mock_manager.client.list_containers.assert_called_once_with(\n            tenant_id=None)\n\n    def test_list_mcp_containers_empty(self, mock_manager):\n        \"\"\"Test listing containers when none exist\"\"\"\n        mock_manager.client.list_containers.return_value = []\n\n        result = mock_manager.list_mcp_containers(tenant_id=\"tenant123\")\n\n        assert len(result) == 0\n\n    def test_list_mcp_containers_exception(self, mock_manager):\n        \"\"\"Test listing containers when exception occurs\"\"\"\n        mock_manager.client.list_containers.side_effect = Exception(\n            \"Connection error\")\n\n        result = mock_manager.list_mcp_containers(tenant_id=\"tenant123\")\n\n        assert result == []\n\n    def test_list_mcp_containers_maps_service_url_to_mcp_url(self, mock_manager):\n        \"\"\"Test that service_url is correctly mapped to mcp_url\"\"\"\n        mock_manager.client.list_containers.return_value = [\n            {\n                \"container_id\": \"container-1\",\n                \"name\": \"service1-user1234\",\n                \"status\": \"running\",\n                \"service_url\": \"http://localhost:5020/mcp\",\n                \"host_port\": \"5020\"\n            }\n        ]\n\n        result = mock_manager.list_mcp_containers(tenant_id=\"tenant123\")\n\n        assert result[0][\"mcp_url\"] == \"http://localhost:5020/mcp\"\n        assert \"service_url\" not in result[0]  # Should be mapped to mcp_url\n\n\n# ---------------------------------------------------------------------------\n# Test get_container_logs\n# ---------------------------------------------------------------------------\n\n\nclass TestGetContainerLogs:\n    \"\"\"Test get_container_logs method\"\"\"\n\n    @pytest.fixture\n    def mock_manager(self):\n        \"\"\"Create MCPContainerManager instance with mocked client\"\"\"\n        with patch('services.mcp_container_service.create_container_client_from_config'), \\\n                patch('services.mcp_container_service.DockerContainerConfig'):\n            manager = MCPContainerManager()\n            manager.client = MagicMock()\n            return manager\n\n    def test_get_container_logs_success(self, mock_manager):\n        \"\"\"Test successful retrieval of container logs\"\"\"\n        mock_manager.client.get_container_logs.return_value = \"Log line 1\\nLog line 2\\nLog line 3\"\n\n        logs = mock_manager.get_container_logs(\"container-123\", tail=100)\n\n        assert logs == \"Log line 1\\nLog line 2\\nLog line 3\"\n        mock_manager.client.get_container_logs.assert_called_once_with(\n            \"container-123\", tail=100)\n\n    def test_get_container_logs_custom_tail(self, mock_manager):\n        \"\"\"Test getting container logs with custom tail\"\"\"\n        mock_manager.client.get_container_logs.return_value = \"Log line 1\"\n\n        logs = mock_manager.get_container_logs(\"container-123\", tail=50)\n\n        mock_manager.client.get_container_logs.assert_called_once_with(\n            \"container-123\", tail=50)\n\n    def test_get_container_logs_default_tail(self, mock_manager):\n        \"\"\"Test getting container logs with default tail\"\"\"\n        mock_manager.client.get_container_logs.return_value = \"Log line 1\"\n\n        logs = mock_manager.get_container_logs(\"container-123\")\n\n        mock_manager.client.get_container_logs.assert_called_once_with(\n            \"container-123\", tail=100)\n\n    def test_get_container_logs_exception(self, mock_manager):\n        \"\"\"Test getting container logs when exception occurs\"\"\"\n        mock_manager.client.get_container_logs.side_effect = Exception(\n            \"Connection error\")\n\n        logs = mock_manager.get_container_logs(\"container-123\")\n\n        assert \"Error retrieving logs\" in logs\n\n\n# ---------------------------------------------------------------------------\n# Test stream_container_logs\n# ---------------------------------------------------------------------------\n\n\nclass TestStreamContainerLogs:\n    \"\"\"Test stream_container_logs method\"\"\"\n\n    @pytest.fixture\n    def mock_manager(self):\n        \"\"\"Create MCPContainerManager instance with mocked client\"\"\"\n        with patch('services.mcp_container_service.create_container_client_from_config'), \\\n                patch('services.mcp_container_service.DockerContainerConfig'):\n            manager = MCPContainerManager()\n            manager.client = MagicMock()\n            manager.client.client = MagicMock()\n            return manager\n\n    @pytest.mark.asyncio\n    async def test_stream_container_logs_initial_logs_only(self, mock_manager):\n        \"\"\"Test streaming container logs with initial logs only (follow=False)\"\"\"\n        mock_container = MagicMock()\n        mock_manager.client.client.containers.get.return_value = mock_container\n\n        # Mock initial logs\n        initial_logs_bytes = b\"Log line 1\\nLog line 2\\nLog line 3\\n\"\n        mock_container.logs.return_value = initial_logs_bytes\n\n        # Collect logs from async generator\n        logs = []\n        async for log_line in mock_manager.stream_container_logs(\n            \"container-123\", tail=100, follow=False\n        ):\n            logs.append(log_line)\n\n        assert len(logs) == 3\n        assert logs[0] == \"Log line 1\"\n        assert logs[1] == \"Log line 2\"\n        assert logs[2] == \"Log line 3\"\n        mock_container.logs.assert_called_once_with(\n            tail=100, stdout=True, stderr=True, timestamps=False\n        )\n\n    @pytest.mark.asyncio\n    async def test_stream_container_logs_empty_initial_logs(self, mock_manager):\n        \"\"\"Test streaming when initial logs are empty\"\"\"\n        mock_container = MagicMock()\n        mock_manager.client.client.containers.get.return_value = mock_container\n\n        # Mock empty initial logs\n        mock_container.logs.return_value = b\"\"\n\n        logs = []\n        async for log_line in mock_manager.stream_container_logs(\n            \"container-123\", tail=100, follow=False\n        ):\n            logs.append(log_line)\n\n        assert len(logs) == 0\n\n    @pytest.mark.asyncio\n    async def test_stream_container_logs_filters_empty_lines(self, mock_manager):\n        \"\"\"Test that empty lines are filtered out\"\"\"\n        mock_container = MagicMock()\n        mock_manager.client.client.containers.get.return_value = mock_container\n\n        # Mock logs with empty lines\n        initial_logs_bytes = b\"Log line 1\\n\\nLog line 2\\n   \\nLog line 3\\n\"\n        mock_container.logs.return_value = initial_logs_bytes\n\n        logs = []\n        async for log_line in mock_manager.stream_container_logs(\n            \"container-123\", tail=100, follow=False\n        ):\n            logs.append(log_line)\n\n        assert len(logs) == 3\n        assert \"Log line 1\" in logs\n        assert \"Log line 2\" in logs\n        assert \"Log line 3\" in logs\n\n    @pytest.mark.asyncio\n    async def test_stream_container_logs_with_follow(self, mock_manager):\n        \"\"\"Test streaming container logs with follow=True - normal flow\"\"\"\n        import asyncio\n        import threading\n        import time\n\n        mock_container = MagicMock()\n        mock_manager.client.client.containers.get.return_value = mock_container\n\n        # Mock initial logs\n        initial_logs_bytes = b\"Initial log\\n\"\n        mock_container.logs.return_value = initial_logs_bytes\n\n        # Mock follow stream - create a generator that yields chunks\n        follow_chunks = [\n            b\"New log 1\\n\",\n            b\"New log 2\\n\",\n            b\"New log 3\\n\",\n        ]\n        follow_stream = iter(follow_chunks)\n\n        # First call returns initial logs, second call returns follow stream\n        call_count = [0]\n\n        def logs_side_effect(*args, **kwargs):\n            call_count[0] += 1\n            if call_count[0] == 1:\n                # First call: initial logs\n                return initial_logs_bytes\n            elif call_count[0] == 2:\n                # Second call: follow stream\n                return follow_stream\n            else:\n                return iter([])\n\n        mock_container.logs.side_effect = logs_side_effect\n\n        # Collect logs from async generator\n        logs = []\n        async for log_line in mock_manager.stream_container_logs(\n            \"container-123\", tail=100, follow=True\n        ):\n            logs.append(log_line)\n            # Wait a bit for thread to process, then break after we get follow logs\n            if len(logs) >= 4:  # Initial log + 3 follow logs\n                break\n            await asyncio.sleep(0.1)  # Give thread time to put items in queue\n\n        # Should have initial log and follow logs\n        assert len(logs) >= 1\n        assert \"Initial log\" in logs[0]\n        # Verify follow logs are captured (may need to wait for thread)\n        assert any(\"New log\" in log for log in logs) or len(logs) >= 1\n\n    @pytest.mark.asyncio\n    async def test_stream_container_logs_container_not_found(self, mock_manager):\n        \"\"\"Test streaming logs when container is not found\"\"\"\n        from docker.errors import NotFound\n\n        mock_manager.client.client.containers.get.side_effect = NotFound(\n            \"Container not found\", response=None, explanation=\"Container does not exist\"\n        )\n\n        logs = []\n        async for log_line in mock_manager.stream_container_logs(\n            \"non-existent\", tail=100, follow=False\n        ):\n            logs.append(log_line)\n\n        # Should yield error message\n        assert len(logs) == 1\n        assert \"Error retrieving logs\" in logs[0]\n\n    @pytest.mark.asyncio\n    async def test_stream_container_logs_exception_during_streaming(self, mock_manager):\n        \"\"\"Test exception handling during log streaming in thread (covers lines 318-322)\"\"\"\n        import asyncio\n        import threading\n\n        mock_container = MagicMock()\n        mock_manager.client.client.containers.get.return_value = mock_container\n\n        # Mock initial logs to succeed\n        initial_logs_bytes = b\"Log line 1\\n\"\n        mock_container.logs.return_value = initial_logs_bytes\n\n        # Mock follow stream to raise exception during iteration in thread\n        # The exception should be raised inside the for loop (line 307), not at container.logs() call\n        call_count = [0]\n        iteration_count = [0]\n\n        def logs_side_effect(*args, **kwargs):\n            call_count[0] += 1\n            if call_count[0] == 1:\n                # First call: initial logs\n                return initial_logs_bytes\n            elif call_count[0] == 2:\n                # Second call: follow stream - raise exception during iteration\n                def exception_stream():\n                    iteration_count[0] += 1\n                    yield b\"First chunk\\n\"\n                    iteration_count[0] += 1\n                    # Raise exception during iteration (inside for loop at line 307)\n                    raise Exception(\"Stream error during iteration\")\n                return exception_stream()\n            else:\n                return iter([])\n\n        mock_container.logs.side_effect = logs_side_effect\n\n        # Collect logs from async generator\n        logs = []\n        async for log_line in mock_manager.stream_container_logs(\n            \"container-123\", tail=100, follow=True\n        ):\n            logs.append(log_line)\n            # Wait for thread to process chunks and raise exception\n            await asyncio.sleep(0.2)\n            # After exception, None should be put in queue (line 320-321)\n            # This will break the while loop (line 333-334)\n            break\n\n        # Should have initial log\n        assert len(logs) >= 1\n        assert \"Log line 1\" in logs[0]\n        # Exception should be caught at line 318, None put in queue at line 320-321\n\n    @pytest.mark.asyncio\n    async def test_stream_container_logs_follow_exception_in_logs_call(self, mock_manager):\n        \"\"\"Test exception when container.logs() raises exception (covers lines 318-322)\"\"\"\n        import asyncio\n\n        mock_container = MagicMock()\n        mock_manager.client.client.containers.get.return_value = mock_container\n\n        # Mock initial logs to succeed\n        initial_logs_bytes = b\"Log line 1\\n\"\n        mock_container.logs.return_value = initial_logs_bytes\n\n        # Mock follow stream - container.logs() call itself raises exception\n        call_count = [0]\n\n        def logs_side_effect(*args, **kwargs):\n            call_count[0] += 1\n            if call_count[0] == 1:\n                # First call: initial logs\n                return initial_logs_bytes\n            elif call_count[0] == 2:\n                # Second call: container.logs() raises exception (before iteration)\n                raise Exception(\"Error calling container.logs()\")\n            else:\n                return iter([])\n\n        mock_container.logs.side_effect = logs_side_effect\n\n        # Collect logs from async generator\n        logs = []\n        async for log_line in mock_manager.stream_container_logs(\n            \"container-123\", tail=100, follow=True\n        ):\n            logs.append(log_line)\n            # Wait for thread exception handling\n            await asyncio.sleep(0.2)\n            break\n\n        # Should have initial log\n        assert len(logs) >= 1\n        assert \"Log line 1\" in logs[0]\n        # Exception should be caught at line 318, None put in queue at line 320-321\n\n    @pytest.mark.asyncio\n    async def test_stream_container_logs_follow_with_multiple_chunks(self, mock_manager):\n        \"\"\"Test follow=True with multiple log chunks and line splitting (covers lines 307-339)\"\"\"\n        import asyncio\n        import threading\n\n        mock_container = MagicMock()\n        mock_manager.client.client.containers.get.return_value = mock_container\n\n        # Mock initial logs\n        initial_logs_bytes = b\"Initial log\\n\"\n        mock_container.logs.return_value = initial_logs_bytes\n\n        # Mock follow stream with multiple chunks containing multiple lines\n        follow_chunks = [\n            b\"Chunk 1 line 1\\nChunk 1 line 2\\n\",\n            b\"Chunk 2 line 1\\n\",\n            b\"Chunk 3 line 1\\nChunk 3 line 2\\nChunk 3 line 3\\n\",\n        ]\n        follow_stream = iter(follow_chunks)\n\n        call_count = [0]\n\n        def logs_side_effect(*args, **kwargs):\n            call_count[0] += 1\n            if call_count[0] == 1:\n                return initial_logs_bytes\n            elif call_count[0] == 2:\n                return follow_stream\n            else:\n                return iter([])\n\n        mock_container.logs.side_effect = logs_side_effect\n\n        logs = []\n        async for log_line in mock_manager.stream_container_logs(\n            \"container-123\", tail=100, follow=True\n        ):\n            logs.append(log_line)\n            # Collect all logs\n            await asyncio.sleep(0.1)\n            if len(logs) >= 10:  # Safety limit\n                break\n\n        # Should have initial log and follow logs split by lines\n        assert len(logs) >= 1\n        assert \"Initial log\" in logs[0]\n\n    @pytest.mark.asyncio\n    async def test_stream_container_logs_follow_filters_empty_lines(self, mock_manager):\n        \"\"\"Test that empty lines are filtered in follow stream (covers lines 337-339)\"\"\"\n        import asyncio\n\n        mock_container = MagicMock()\n        mock_manager.client.client.containers.get.return_value = mock_container\n\n        # Mock initial logs with empty lines\n        initial_logs_bytes = b\"Initial log\\n\"\n        mock_container.logs.return_value = initial_logs_bytes\n\n        # Mock follow stream with empty lines\n        follow_chunks = [\n            b\"Valid log 1\\n\\n   \\nValid log 2\\n\",\n        ]\n        follow_stream = iter(follow_chunks)\n\n        call_count = [0]\n\n        def logs_side_effect(*args, **kwargs):\n            call_count[0] += 1\n            if call_count[0] == 1:\n                return initial_logs_bytes\n            elif call_count[0] == 2:\n                return follow_stream\n            else:\n                return iter([])\n\n        mock_container.logs.side_effect = logs_side_effect\n\n        logs = []\n        async for log_line in mock_manager.stream_container_logs(\n            \"container-123\", tail=100, follow=True\n        ):\n            logs.append(log_line)\n            await asyncio.sleep(0.1)\n            if len(logs) >= 5:  # Safety limit\n                break\n\n        # Should filter out empty lines\n        assert len(logs) >= 1\n        # All logs should be non-empty\n        for log in logs:\n            assert log.strip() != \"\"\n\n    @pytest.mark.asyncio\n    async def test_stream_container_logs_follow_stop_flag(self, mock_manager):\n        \"\"\"Test that stop_flag stops the thread loop (covers lines 308-309, 341)\"\"\"\n        import asyncio\n        import threading\n        import time\n\n        mock_container = MagicMock()\n        mock_manager.client.client.containers.get.return_value = mock_container\n\n        # Mock initial logs\n        initial_logs_bytes = b\"Initial log\\n\"\n        mock_container.logs.return_value = initial_logs_bytes\n\n        # Mock follow stream that yields chunks slowly\n        # This allows stop_flag to be checked during iteration at line 308\n        chunk_count = [0]\n\n        def slow_stream():\n            while True:\n                chunk_count[0] += 1\n                yield f\"Log chunk {chunk_count[0]}\\n\".encode()\n                # Small delay to allow stop_flag to be set and checked\n                time.sleep(0.05)\n                if chunk_count[0] > 20:  # Safety limit\n                    break\n\n        call_count = [0]\n\n        def logs_side_effect(*args, **kwargs):\n            call_count[0] += 1\n            if call_count[0] == 1:\n                return initial_logs_bytes\n            elif call_count[0] == 2:\n                return slow_stream()\n            else:\n                return iter([])\n\n        mock_container.logs.side_effect = logs_side_effect\n\n        logs = []\n        async for log_line in mock_manager.stream_container_logs(\n            \"container-123\", tail=100, follow=True\n        ):\n            logs.append(log_line)\n            # Break early to trigger stop_flag in finally block (line 341)\n            # This will set stop_flag[0] = True, which thread checks at line 308\n            if len(logs) >= 2:\n                break\n\n        # Give thread time to check stop_flag[0] at line 308 and break at line 309\n        await asyncio.sleep(0.2)\n\n        # Should have at least initial log\n        assert len(logs) >= 1\n        # stop_flag should be set in finally block (line 341)\n        # Thread should check stop_flag[0] at line 308 and break at line 309\n\n    @pytest.mark.asyncio\n    async def test_stream_container_logs_follow_queue_none_signal(self, mock_manager):\n        \"\"\"Test that None in queue signals end of stream (covers lines 314-317, 332-334)\"\"\"\n        import asyncio\n\n        mock_container = MagicMock()\n        mock_manager.client.client.containers.get.return_value = mock_container\n\n        # Mock initial logs\n        initial_logs_bytes = b\"Initial log\\n\"\n        mock_container.logs.return_value = initial_logs_bytes\n\n        # Mock follow stream that immediately ends (puts None in queue)\n        follow_chunks = [\n            b\"Follow log 1\\n\",\n        ]\n        follow_stream = iter(follow_chunks)\n\n        call_count = [0]\n\n        def logs_side_effect(*args, **kwargs):\n            call_count[0] += 1\n            if call_count[0] == 1:\n                return initial_logs_bytes\n            elif call_count[0] == 2:\n                return follow_stream\n            else:\n                return iter([])\n\n        mock_container.logs.side_effect = logs_side_effect\n\n        logs = []\n        async for log_line in mock_manager.stream_container_logs(\n            \"container-123\", tail=100, follow=True\n        ):\n            logs.append(log_line)\n            await asyncio.sleep(0.2)  # Wait for thread to finish and put None\n\n        # Should have initial log and follow log before None signal\n        assert len(logs) >= 1\n        assert \"Initial log\" in logs[0]\n\n    @pytest.mark.asyncio\n    async def test_stream_container_logs_follow_stop_flag_during_iteration(self, mock_manager):\n        \"\"\"Test stop_flag check during log stream iteration (covers lines 308-309)\"\"\"\n        import asyncio\n        import time\n\n        mock_container = MagicMock()\n        mock_manager.client.client.containers.get.return_value = mock_container\n\n        # Mock initial logs\n        initial_logs_bytes = b\"Initial log\\n\"\n        mock_container.logs.return_value = initial_logs_bytes\n\n        # Create a stream that yields multiple chunks with delays\n        # This ensures the thread will be in the for loop (line 307) when stop_flag is checked\n        chunk_yielded = [False]\n\n        def stream_with_delay():\n            chunk_yielded[0] = True\n            yield b\"Chunk 1\\n\"\n            time.sleep(0.1)  # Delay to allow stop_flag to be set\n            yield b\"Chunk 2\\n\"\n            time.sleep(0.1)\n            yield b\"Chunk 3\\n\"\n\n        call_count = [0]\n\n        def logs_side_effect(*args, **kwargs):\n            call_count[0] += 1\n            if call_count[0] == 1:\n                return initial_logs_bytes\n            elif call_count[0] == 2:\n                return stream_with_delay()\n            else:\n                return iter([])\n\n        mock_container.logs.side_effect = logs_side_effect\n\n        logs = []\n        async for log_line in mock_manager.stream_container_logs(\n            \"container-123\", tail=100, follow=True\n        ):\n            logs.append(log_line)\n            # After getting initial log, break to set stop_flag[0] = True in finally (line 341)\n            # Thread should check stop_flag[0] at line 308 during next iteration\n            if len(logs) >= 1:\n                # Small delay to let thread start processing\n                await asyncio.sleep(0.05)\n                break\n\n        # Wait for thread to check stop_flag and break\n        await asyncio.sleep(0.2)\n\n        # Should have initial log\n        assert len(logs) >= 1\n        # stop_flag[0] is set to True in finally block (line 341)\n        # Thread checks stop_flag[0] at line 308 and breaks at line 309\n\n    @pytest.mark.asyncio\n    async def test_stream_container_logs_follow_decode_errors(self, mock_manager):\n        \"\"\"Test decode error handling in follow stream (covers line 335)\"\"\"\n        import asyncio\n\n        mock_container = MagicMock()\n        mock_manager.client.client.containers.get.return_value = mock_container\n\n        # Mock initial logs\n        initial_logs_bytes = b\"Initial log\\n\"\n        mock_container.logs.return_value = initial_logs_bytes\n\n        # Mock follow stream with invalid UTF-8\n        follow_chunks = [\n            b\"Valid log\\n\",\n            b\"\\xff\\xfeInvalid UTF-8\\n\",  # Invalid UTF-8 bytes\n            b\"Another valid log\\n\",\n        ]\n        follow_stream = iter(follow_chunks)\n\n        call_count = [0]\n\n        def logs_side_effect(*args, **kwargs):\n            call_count[0] += 1\n            if call_count[0] == 1:\n                return initial_logs_bytes\n            elif call_count[0] == 2:\n                return follow_stream\n            else:\n                return iter([])\n\n        mock_container.logs.side_effect = logs_side_effect\n\n        logs = []\n        async for log_line in mock_manager.stream_container_logs(\n            \"container-123\", tail=100, follow=True\n        ):\n            logs.append(log_line)\n            await asyncio.sleep(0.1)\n            if len(logs) >= 5:  # Safety limit\n                break\n\n        # Should handle decode errors gracefully with errors=\"replace\"\n        assert len(logs) >= 1\n        assert \"Initial log\" in logs[0]\n\n    @pytest.mark.asyncio\n    async def test_stream_container_logs_decode_error(self, mock_manager):\n        \"\"\"Test handling of decode errors in log streaming\"\"\"\n        mock_container = MagicMock()\n        mock_manager.client.client.containers.get.return_value = mock_container\n\n        # Mock logs with invalid UTF-8 bytes\n        initial_logs_bytes = b\"\\xff\\xfeInvalid UTF-8\\n\"\n        mock_container.logs.return_value = initial_logs_bytes\n\n        logs = []\n        async for log_line in mock_manager.stream_container_logs(\n            \"container-123\", tail=100, follow=False\n        ):\n            logs.append(log_line)\n\n        # Should handle decode errors gracefully with errors=\"replace\"\n        assert len(logs) >= 0\n\n    @pytest.mark.asyncio\n    async def test_stream_container_logs_custom_tail(self, mock_manager):\n        \"\"\"Test streaming with custom tail parameter\"\"\"\n        mock_container = MagicMock()\n        mock_manager.client.client.containers.get.return_value = mock_container\n\n        initial_logs_bytes = b\"Log line 1\\n\"\n        mock_container.logs.return_value = initial_logs_bytes\n\n        logs = []\n        async for log_line in mock_manager.stream_container_logs(\n            \"container-123\", tail=50, follow=False\n        ):\n            logs.append(log_line)\n\n        # Verify tail parameter was passed correctly\n        mock_container.logs.assert_called_with(\n            tail=50, stdout=True, stderr=True, timestamps=False\n        )\n\n\n# ---------------------------------------------------------------------------\n# Test load_image_from_tar_file\n# ---------------------------------------------------------------------------\n\n\nclass TestLoadImageFromTarFile:\n    \"\"\"Test load_image_from_tar_file method\"\"\"\n\n    @pytest.fixture\n    def mock_manager(self):\n        \"\"\"Create MCPContainerManager instance with mocked client\"\"\"\n        with patch('services.mcp_container_service.create_container_client_from_config'), \\\n                patch('services.mcp_container_service.DockerContainerConfig'):\n            manager = MCPContainerManager()\n            manager.client = MagicMock()\n            return manager\n\n    @pytest.mark.asyncio\n    async def test_load_image_from_tar_file_success_with_tags(self, mock_manager):\n        \"\"\"Test successful loading of image with tags\"\"\"\n        # Create a temporary file\n        with tempfile.NamedTemporaryFile(delete=False, suffix='.tar') as temp_file:\n            temp_file.write(b\"fake tar content\")\n            temp_file_path = temp_file.name\n\n        try:\n            mock_image = MagicMock()\n            mock_image.tags = [\"test-image:latest\", \"test-image:v1.0\"]\n            mock_image.id = \"sha256:1234567890abcdef\"\n\n            mock_manager.client.client.images.load.return_value = [mock_image]\n\n            result = await mock_manager.load_image_from_tar_file(temp_file_path)\n\n            assert result == \"test-image:latest\"\n            mock_manager.client.client.images.load.assert_called_once()\n        finally:\n            # Clean up\n            try:\n                os.unlink(temp_file_path)\n            except Exception:\n                pass\n\n    @pytest.mark.asyncio\n    async def test_load_image_from_tar_file_success_without_tags(self, mock_manager):\n        \"\"\"Test successful loading of image without tags\"\"\"\n        # Create a temporary file\n        with tempfile.NamedTemporaryFile(delete=False, suffix='.tar') as temp_file:\n            temp_file.write(b\"fake tar content\")\n            temp_file_path = temp_file.name\n\n        try:\n            mock_image = MagicMock()\n            mock_image.tags = []\n            mock_image.id = \"sha256:1234567890abcdef\"\n\n            mock_manager.client.client.images.load.return_value = [mock_image]\n\n            result = await mock_manager.load_image_from_tar_file(temp_file_path)\n\n            assert result == \"sha256:1234567890abcdef\"\n            mock_manager.client.client.images.load.assert_called_once()\n        finally:\n            # Clean up\n            try:\n                os.unlink(temp_file_path)\n            except Exception:\n                pass\n\n    @pytest.mark.asyncio\n    async def test_load_image_from_tar_file_empty_images(self, mock_manager):\n        \"\"\"Test loading when no images are found in tar file (covers lines 69-70)\"\"\"\n        # Create a temporary file\n        with tempfile.NamedTemporaryFile(delete=False, suffix='.tar') as temp_file:\n            temp_file.write(b\"fake tar content\")\n            temp_file_path = temp_file.name\n\n        try:\n            mock_manager.client.client.images.load.return_value = []\n\n            with pytest.raises(MCPContainerError, match=\"No images found in tar file\"):\n                await mock_manager.load_image_from_tar_file(temp_file_path)\n        finally:\n            # Clean up\n            try:\n                os.unlink(temp_file_path)\n            except Exception:\n                pass\n\n    @pytest.mark.asyncio\n    async def test_load_image_from_tar_file_exception(self, mock_manager):\n        \"\"\"Test loading when exception occurs (covers lines 80-82)\"\"\"\n        # Create a temporary file\n        with tempfile.NamedTemporaryFile(delete=False, suffix='.tar') as temp_file:\n            temp_file.write(b\"fake tar content\")\n            temp_file_path = temp_file.name\n\n        try:\n            mock_manager.client.client.images.load.side_effect = Exception(\n                \"File not found\")\n\n            with pytest.raises(MCPContainerError, match=\"Failed to load image from tar file: File not found\"):\n                await mock_manager.load_image_from_tar_file(temp_file_path)\n        finally:\n            # Clean up\n            try:\n                os.unlink(temp_file_path)\n            except Exception:\n                pass\n\n\n# ---------------------------------------------------------------------------\n# Test start_mcp_container_from_tar\n# ---------------------------------------------------------------------------\n\n\nclass TestStartMCPContainerFromTar:\n    \"\"\"Test start_mcp_container_from_tar method\"\"\"\n\n    @pytest.fixture\n    def mock_manager(self):\n        \"\"\"Create MCPContainerManager instance with mocked client\"\"\"\n        with patch('services.mcp_container_service.create_container_client_from_config'), \\\n                patch('services.mcp_container_service.DockerContainerConfig'):\n            manager = MCPContainerManager()\n            manager.client = MagicMock()\n            return manager\n\n    @pytest.mark.asyncio\n    async def test_start_mcp_container_from_tar_success(self, mock_manager):\n        \"\"\"Test successful starting of MCP container from tar file\"\"\"\n        # Mock load_image_from_tar_file\n        mock_manager.load_image_from_tar_file = AsyncMock(\n            return_value=\"loaded-image:latest\")\n\n        # Mock start_mcp_container\n        mock_manager.start_mcp_container = AsyncMock(return_value={\n            \"container_id\": \"container-123\",\n            \"mcp_url\": \"http://localhost:5020/mcp\",\n            \"host_port\": \"5020\",\n            \"status\": \"started\",\n            \"container_name\": \"test-service-user1234\"\n        })\n\n        result = await mock_manager.start_mcp_container_from_tar(\n            tar_file_path=\"/path/to/image.tar\",\n            service_name=\"test-service\",\n            tenant_id=\"tenant123\",\n            user_id=\"user12345\",\n            env_vars={\"NODE_ENV\": \"production\"},\n            host_port=5020,\n            full_command=[\"npx\", \"-y\", \"test-mcp\"]\n        )\n\n        assert result[\"container_id\"] == \"container-123\"\n        assert result[\"mcp_url\"] == \"http://localhost:5020/mcp\"\n        mock_manager.load_image_from_tar_file.assert_called_once_with(\n            \"/path/to/image.tar\")\n        mock_manager.start_mcp_container.assert_called_once_with(\n            service_name=\"test-service\",\n            tenant_id=\"tenant123\",\n            user_id=\"user12345\",\n            env_vars={\"NODE_ENV\": \"production\"},\n            host_port=5020,\n            image=\"loaded-image:latest\",\n            full_command=[\"npx\", \"-y\", \"test-mcp\"]\n        )\n\n    @pytest.mark.asyncio\n    async def test_start_mcp_container_from_tar_load_image_error(self, mock_manager):\n        \"\"\"Test starting container when load_image_from_tar_file fails (covers lines 178-181)\"\"\"\n        # Mock load_image_from_tar_file to raise error\n        mock_manager.load_image_from_tar_file = AsyncMock(\n            side_effect=MCPContainerError(\"Failed to load image\"))\n\n        with pytest.raises(MCPContainerError, match=\"Failed to start container from tar file: Failed to load image\"):\n            await mock_manager.start_mcp_container_from_tar(\n                tar_file_path=\"/path/to/image.tar\",\n                service_name=\"test-service\",\n                tenant_id=\"tenant123\",\n                user_id=\"user12345\"\n            )\n\n    @pytest.mark.asyncio\n    async def test_start_mcp_container_from_tar_start_container_error(self, mock_manager):\n        \"\"\"Test starting container when start_mcp_container fails (covers lines 178-181)\"\"\"\n        # Mock load_image_from_tar_file to succeed\n        mock_manager.load_image_from_tar_file = AsyncMock(\n            return_value=\"loaded-image:latest\")\n\n        # Mock start_mcp_container to raise error\n        mock_manager.start_mcp_container = AsyncMock(\n            side_effect=MCPContainerError(\"Container startup failed\"))\n\n        with pytest.raises(MCPContainerError, match=\"Failed to start container from tar file: Container startup failed\"):\n            await mock_manager.start_mcp_container_from_tar(\n                tar_file_path=\"/path/to/image.tar\",\n                service_name=\"test-service\",\n                tenant_id=\"tenant123\",\n                user_id=\"user12345\"\n            )\n\n\nif __name__ == \"__main__\":\n    pytest.main([__file__])\n"
  },
  {
    "path": "test/backend/services/test_memory_config_service.py",
    "content": "import sys\nimport os\nimport unittest\nfrom unittest.mock import patch, MagicMock\nimport types\nfrom contextlib import contextmanager\nfrom enum import Enum\n\n# Ensure backend modules can be imported and avoid real MinIO init\nsys.path.insert(0, os.path.join(os.path.dirname(__file__), \"../../../backend\"))\n\n# Stub consts.model for MemoryAgentShareMode\nconsts_model = types.ModuleType(\"consts.model\")\nclass MemoryAgentShareMode(str, Enum):\n    ALWAYS = \"always\"\n    ASK = \"ask\"\n    NEVER = \"never\"\nconsts_model.MemoryAgentShareMode = MemoryAgentShareMode\nsys.modules[\"consts.model\"] = consts_model\n\n# Stub consts.const values used by service\nconsts_const = types.ModuleType(\"consts.const\")\nconsts_const.MEMORY_SWITCH_KEY = \"MEMORY_SWITCH\"\nconsts_const.MEMORY_AGENT_SHARE_KEY = \"MEMORY_AGENT_SHARE\"\nconsts_const.DISABLE_AGENT_ID_KEY = \"DISABLE_AGENT_ID\"\nconsts_const.DISABLE_USERAGENT_ID_KEY = \"DISABLE_USERAGENT_ID\"\nconsts_const.DEFAULT_MEMORY_SWITCH_KEY = \"N\"\nconsts_const.DEFAULT_MEMORY_AGENT_SHARE_KEY = MemoryAgentShareMode.NEVER.value\nsys.modules[\"consts.const\"] = consts_const\n\n# Stub nexent.core.agents.agent_model for MemoryContext and MemoryUserConfig\nagent_model_mod = types.ModuleType(\"nexent.core.agents.agent_model\")\nclass MemoryUserConfig:\n    def __init__(self, memory_switch: bool, agent_share_option: str, disable_agent_ids, disable_user_agent_ids):\n        self.memory_switch = memory_switch\n        self.agent_share_option = agent_share_option\n        self.disable_agent_ids = disable_agent_ids\n        self.disable_user_agent_ids = disable_user_agent_ids\nclass MemoryContext:\n    def __init__(self, user_config, memory_config, tenant_id, user_id, agent_id):\n        self.user_config = user_config\n        self.memory_config = memory_config\n        self.tenant_id = tenant_id\n        self.user_id = user_id\n        self.agent_id = agent_id\nagent_model_mod.MemoryUserConfig = MemoryUserConfig\nagent_model_mod.MemoryContext = MemoryContext\nsys.modules[\"nexent.core.agents.agent_model\"] = agent_model_mod\n\n# Fake out database.client to prevent boto3/MinIO side effects and provide needed APIs\nfake_client = types.ModuleType(\"database.client\")\n\ndef _filter_property(data, model_class):\n    try:\n        fields = set(model_class.__table__.columns.keys())\n    except Exception:\n        fields = set(data.keys())\n    return {k: v for k, v in data.items() if k in fields}\n\n@contextmanager\ndef _get_db_session(db_session=None):\n    class DummySession:\n        def query(self, *_, **__):\n            class DummyQuery:\n                def filter(self, *__, **___):\n                    class DummyAll:\n                        def all(self_inner):\n                            return []\n                    return DummyAll()\n            return DummyQuery()\n        def add(self, *_a, **_k):\n            pass\n        def commit(self):\n            pass\n        def rollback(self):\n            pass\n        def close(self):\n            pass\n        def execute(self, *_, **__):\n            return None\n        def scalars(self, *_, **__):\n            class Dummy:\n                def first(self):\n                    return None\n            return Dummy()\n    sess = DummySession() if db_session is None else db_session\n    try:\n        yield sess\n    finally:\n        pass\n\nfake_client.filter_property = _filter_property\nfake_client.get_db_session = _get_db_session\nsys.modules[\"database.client\"] = fake_client\nsys.modules['boto3'] = MagicMock()\n\n# Stub database.memory_config_db to avoid importing SQLAlchemy models at import time\nmemcfg_db = types.ModuleType(\"database.memory_config_db\")\n\ndef _noop(*args, **kwargs):\n    return True\n\ndef _return_empty_list(*args, **kwargs):\n    return []\n\nmemcfg_db.get_all_configs_by_user_id = _return_empty_list\nmemcfg_db.get_memory_config_info = _return_empty_list\nmemcfg_db.insert_config = _noop\nmemcfg_db.delete_config_by_config_id = _noop\nmemcfg_db.update_config_by_id = _noop\nsys.modules[\"database.memory_config_db\"] = memcfg_db\n\n# Stub utils.memory_utils to ensure import works even if not patched\nutils_memory_utils = types.ModuleType(\"utils.memory_utils\")\nutils_memory_utils.build_memory_config = lambda tenant_id: {}\nsys.modules[\"utils.memory_utils\"] = utils_memory_utils\n\n\nclass TestMemoryConfigService(unittest.TestCase):\n    def setUp(self):\n        self.user_id = \"u1\"\n        self.tenant_id = \"t1\"\n        self.agent_id = 123\n\n    # ------------------------------- helpers -------------------------------\n    @patch(\"backend.services.memory_config_service.get_all_configs_by_user_id\")\n    def test_get_user_configs_defaults_and_aggregation(self, m_get_all):\n        # one single key, and two multi values\n        m_get_all.return_value = [\n            {\"config_key\": \"MEMORY_SWITCH\", \"config_value\": \"Y\", \"value_type\": \"single\"},\n            {\"config_key\": \"DISABLE_AGENT_ID\", \"config_value\": \"A1\", \"value_type\": \"multi\"},\n            {\"config_key\": \"DISABLE_AGENT_ID\", \"config_value\": \"A2\", \"value_type\": \"multi\"},\n        ]\n\n        from backend.services.memory_config_service import get_user_configs, MEMORY_AGENT_SHARE_KEY\n\n        configs = get_user_configs(self.user_id)\n        # present keys preserved\n        self.assertEqual(configs[\"MEMORY_SWITCH\"], \"Y\")\n        self.assertEqual(configs[\"DISABLE_AGENT_ID\"], [\"A1\", \"A2\"])\n        # missing single key gets default\n        self.assertIn(MEMORY_AGENT_SHARE_KEY, configs)\n\n    @patch(\"backend.services.memory_config_service.get_all_configs_by_user_id\", return_value=[])\n    def test_get_user_configs_default_switch_when_missing(self, m_get_all):\n        from backend.services.memory_config_service import get_user_configs\n\n        configs = get_user_configs(self.user_id)\n        # MEMORY_SWITCH should be defaulted when missing from DB\n        self.assertIn(consts_const.MEMORY_SWITCH_KEY, configs)\n        self.assertEqual(configs[consts_const.MEMORY_SWITCH_KEY], consts_const.DEFAULT_MEMORY_SWITCH_KEY)\n\n    # --------------------------- _update_single_config ---------------------------\n    @patch(\"backend.services.memory_config_service.update_config_by_id\")\n    @patch(\"backend.services.memory_config_service.get_memory_config_info\")\n    def test_update_single_config_update_branch_success(self, m_get_info, m_update):\n        m_get_info.return_value = [{\"config_id\": 10}]\n        m_update.return_value = True\n\n        from backend.services.memory_config_service import _update_single_config\n\n        ok = _update_single_config(self.user_id, \"MEMORY_SWITCH\", \"Y\")\n        self.assertTrue(ok)\n        m_update.assert_called_once()\n\n    @patch(\"backend.services.memory_config_service.update_config_by_id\", return_value=False)\n    @patch(\"backend.services.memory_config_service.get_memory_config_info\", return_value=[{\"config_id\": 11}])\n    def test_update_single_config_update_branch_fail(self, m_get_info, m_update):\n        from backend.services.memory_config_service import _update_single_config\n\n        ok = _update_single_config(self.user_id, \"MEMORY_SWITCH\", \"N\")\n        self.assertFalse(ok)\n\n    @patch(\"backend.services.memory_config_service.insert_config\", return_value=True)\n    @patch(\"backend.services.memory_config_service.get_memory_config_info\", return_value=[])\n    def test_update_single_config_insert_branch_success(self, m_get_info, m_insert):\n        from backend.services.memory_config_service import _update_single_config\n\n        ok = _update_single_config(self.user_id, \"MEMORY_SWITCH\", \"Y\")\n        self.assertTrue(ok)\n        m_insert.assert_called_once()\n\n    @patch(\"backend.services.memory_config_service.insert_config\", return_value=False)\n    @patch(\"backend.services.memory_config_service.get_memory_config_info\", return_value=[])\n    def test_update_single_config_insert_branch_fail(self, m_get_info, m_insert):\n        from backend.services.memory_config_service import _update_single_config\n\n        ok = _update_single_config(self.user_id, \"MEMORY_SWITCH\", \"Y\")\n        self.assertFalse(ok)\n\n    # ------------------------------ _add_multi_value ------------------------------\n    @patch(\"backend.services.memory_config_service.insert_config\", return_value=True)\n    @patch(\"backend.services.memory_config_service.get_memory_config_info\", return_value=[])\n    def test_add_multi_value_insert_success(self, m_get_info, m_insert):\n        from backend.services.memory_config_service import _add_multi_value\n\n        ok = _add_multi_value(self.user_id, \"DISABLE_AGENT_ID\", \"A1\")\n        self.assertTrue(ok)\n\n    @patch(\"backend.services.memory_config_service.insert_config\", return_value=False)\n    @patch(\"backend.services.memory_config_service.get_memory_config_info\", return_value=[])\n    def test_add_multi_value_insert_fail(self, m_get_info, m_insert):\n        from backend.services.memory_config_service import _add_multi_value\n\n        ok = _add_multi_value(self.user_id, \"DISABLE_AGENT_ID\", \"A1\")\n        self.assertFalse(ok)\n\n    @patch(\"backend.services.memory_config_service.get_memory_config_info\", return_value=[{\"config_value\": \"A1\"}])\n    def test_add_multi_value_already_exists(self, m_get_info):\n        from backend.services.memory_config_service import _add_multi_value\n\n        ok = _add_multi_value(self.user_id, \"DISABLE_AGENT_ID\", \"A1\")\n        self.assertTrue(ok)\n\n    # ---------------------------- _remove_multi_value ----------------------------\n    @patch(\"backend.services.memory_config_service.delete_config_by_config_id\", return_value=True)\n    @patch(\"backend.services.memory_config_service.get_memory_config_info\", return_value=[{\"config_id\": 9, \"config_value\": \"A1\"}])\n    def test_remove_multi_value_success(self, m_get_info, m_del):\n        from backend.services.memory_config_service import _remove_multi_value\n\n        ok = _remove_multi_value(self.user_id, \"DISABLE_AGENT_ID\", \"A1\")\n        self.assertTrue(ok)\n        m_del.assert_called_once_with(9, updated_by=self.user_id)\n\n    @patch(\"backend.services.memory_config_service.delete_config_by_config_id\", return_value=False)\n    @patch(\"backend.services.memory_config_service.get_memory_config_info\", return_value=[{\"config_id\": 9, \"config_value\": \"A1\"}])\n    def test_remove_multi_value_fail(self, m_get_info, m_del):\n        from backend.services.memory_config_service import _remove_multi_value\n\n        ok = _remove_multi_value(self.user_id, \"DISABLE_AGENT_ID\", \"A1\")\n        self.assertFalse(ok)\n\n    @patch(\"backend.services.memory_config_service.get_memory_config_info\", return_value=[{\"config_id\": 9, \"config_value\": \"A2\"}])\n    def test_remove_multi_value_not_found(self, m_get_info):\n        from backend.services.memory_config_service import _remove_multi_value\n\n        ok = _remove_multi_value(self.user_id, \"DISABLE_AGENT_ID\", \"A1\")\n        self.assertTrue(ok)  # treat not found as success\n\n    # -------------------------- getters/setters wrappers --------------------------\n    @patch(\"backend.services.memory_config_service.get_user_configs\", return_value={\"MEMORY_SWITCH\": \"Y\"})\n    def test_get_memory_switch(self, m_get):\n        from backend.services.memory_config_service import get_memory_switch\n\n        self.assertTrue(get_memory_switch(self.user_id))\n\n    @patch(\"backend.services.memory_config_service._update_single_config\", return_value=True)\n    def test_set_memory_switch_true(self, m_upd):\n        from backend.services.memory_config_service import set_memory_switch\n\n        self.assertTrue(set_memory_switch(self.user_id, True))\n        m_upd.assert_called_once()\n\n    @patch(\"backend.services.memory_config_service.get_user_configs\", return_value={\"MEMORY_AGENT_SHARE\": \"always\"})\n    def test_get_agent_share_valid(self, m_get):\n        from backend.services.memory_config_service import get_agent_share\n        self.assertEqual(get_agent_share(self.user_id), MemoryAgentShareMode.ALWAYS)\n\n    @patch(\"backend.services.memory_config_service.get_user_configs\", return_value={\"MEMORY_AGENT_SHARE\": \"weird\"})\n    def test_get_agent_share_invalid(self, m_get):\n        from backend.services.memory_config_service import get_agent_share\n        self.assertEqual(get_agent_share(self.user_id), MemoryAgentShareMode.NEVER)\n\n    @patch(\"backend.services.memory_config_service._update_single_config\", return_value=True)\n    def test_set_agent_share(self, m_upd):\n        from backend.services.memory_config_service import set_agent_share\n        self.assertTrue(set_agent_share(self.user_id, MemoryAgentShareMode.ASK))\n\n    @patch(\"backend.services.memory_config_service.get_user_configs\", return_value={\"DISABLE_AGENT_ID\": [\"A1\", \"A2\"]})\n    def test_get_disabled_agent_ids(self, m_get):\n        from backend.services.memory_config_service import get_disabled_agent_ids\n\n        ids = get_disabled_agent_ids(self.user_id)\n        self.assertEqual(ids, [\"A1\", \"A2\"])\n\n    @patch(\"backend.services.memory_config_service.get_user_configs\", return_value={})\n    def test_get_disabled_agent_ids_default_empty(self, m_get):\n        from backend.services.memory_config_service import get_disabled_agent_ids\n\n        ids = get_disabled_agent_ids(self.user_id)\n        self.assertEqual(ids, [])\n\n    @patch(\"backend.services.memory_config_service.get_user_configs\", return_value={\"DISABLE_USERAGENT_ID\": [\"UA1\"]})\n    def test_get_disabled_useragent_ids(self, m_get):\n        from backend.services.memory_config_service import get_disabled_useragent_ids\n\n        ids = get_disabled_useragent_ids(self.user_id)\n        self.assertEqual(ids, [\"UA1\"])\n\n    @patch(\"backend.services.memory_config_service.get_user_configs\", return_value={})\n    def test_get_disabled_useragent_ids_default_empty(self, m_get):\n        from backend.services.memory_config_service import get_disabled_useragent_ids\n\n        ids = get_disabled_useragent_ids(self.user_id)\n        self.assertEqual(ids, [])\n\n    @patch(\"backend.services.memory_config_service._add_multi_value\", return_value=True)\n    def test_add_disabled_agent_id(self, m_add):\n        from backend.services.memory_config_service import add_disabled_agent_id\n\n        self.assertTrue(add_disabled_agent_id(self.user_id, \"A1\"))\n        m_add.assert_called_once()\n\n    @patch(\"backend.services.memory_config_service._remove_multi_value\", return_value=True)\n    def test_remove_disabled_agent_id(self, m_rm):\n        from backend.services.memory_config_service import remove_disabled_agent_id\n\n        self.assertTrue(remove_disabled_agent_id(self.user_id, \"A1\"))\n        m_rm.assert_called_once()\n\n    @patch(\"backend.services.memory_config_service._add_multi_value\", return_value=True)\n    def test_add_disabled_useragent_id(self, m_add):\n        from backend.services.memory_config_service import add_disabled_useragent_id\n\n        self.assertTrue(add_disabled_useragent_id(self.user_id, \"UA1\"))\n        m_add.assert_called_once()\n\n    @patch(\"backend.services.memory_config_service._remove_multi_value\", return_value=True)\n    def test_remove_disabled_useragent_id(self, m_rm):\n        from backend.services.memory_config_service import remove_disabled_useragent_id\n\n        self.assertTrue(remove_disabled_useragent_id(self.user_id, \"UA1\"))\n        m_rm.assert_called_once()\n\n    # ---------------------------- build_memory_context ----------------------------\n    @patch(\"backend.services.memory_config_service.get_memory_switch\", return_value=False)\n    def test_build_memory_context_switch_off(self, m_switch):\n        with patch(\"backend.services.memory_config_service.get_agent_share\", return_value=MagicMock(value=\"never\")), \\\n             patch(\"backend.services.memory_config_service.get_disabled_agent_ids\", return_value=[]), \\\n             patch(\"backend.services.memory_config_service.get_disabled_useragent_ids\", return_value=[]):\n            from backend.services.memory_config_service import build_memory_context\n\n            ctx = build_memory_context(self.user_id, self.tenant_id, self.agent_id)\n            self.assertEqual(ctx.tenant_id, self.tenant_id)\n            self.assertEqual(ctx.user_id, self.user_id)\n            self.assertEqual(ctx.agent_id, str(self.agent_id))\n            self.assertEqual(ctx.memory_config, {})  # empty dict when off\n\n    @patch(\"backend.services.memory_config_service.get_memory_switch\", return_value=True)\n    def test_build_memory_context_switch_on(self, m_switch):\n        with patch(\"backend.services.memory_config_service.get_agent_share\", return_value=MagicMock(value=\"ask\")), \\\n             patch(\"backend.services.memory_config_service.get_disabled_agent_ids\", return_value=[\"A1\"]), \\\n             patch(\"backend.services.memory_config_service.get_disabled_useragent_ids\", return_value=[\"UA1\"]), \\\n             patch(\"backend.services.memory_config_service.build_memory_config\", return_value={\"cfg\": 1}) as m_build:\n            from backend.services.memory_config_service import build_memory_context\n\n            ctx = build_memory_context(self.user_id, self.tenant_id, self.agent_id)\n            self.assertEqual(ctx.memory_config, {\"cfg\": 1})\n            m_build.assert_called_once_with(self.tenant_id)\n\n    def test_build_memory_context_skip_query(self):\n        \"\"\"Test build_memory_context with skip_query=True\"\"\"\n        from backend.services.memory_config_service import build_memory_context\n\n        ctx = build_memory_context(self.user_id, self.tenant_id, self.agent_id, skip_query=True)\n\n        self.assertEqual(ctx.tenant_id, self.tenant_id)\n        self.assertEqual(ctx.user_id, self.user_id)\n        self.assertEqual(ctx.agent_id, str(self.agent_id))\n        self.assertEqual(ctx.memory_config, {})  # empty dict when query skipped\n        self.assertEqual(ctx.user_config.memory_switch, False)\n        self.assertEqual(ctx.user_config.agent_share_option, \"never\")  # Updated to \"never\"\n        self.assertEqual(ctx.user_config.disable_agent_ids, [])\n        self.assertEqual(ctx.user_config.disable_user_agent_ids, [])\n\n    def test_build_memory_context_skip_query_no_db_calls(self):\n        \"\"\"Test that skip_query=True doesn't make any database calls\"\"\"\n        from backend.services.memory_config_service import build_memory_context\n\n        # Mock all the database functions to ensure they're not called\n        with patch(\"backend.services.memory_config_service.get_memory_switch\") as mock_memory_switch, \\\n             patch(\"backend.services.memory_config_service.get_agent_share\") as mock_agent_share, \\\n             patch(\"backend.services.memory_config_service.get_disabled_agent_ids\") as mock_disabled_agents, \\\n             patch(\"backend.services.memory_config_service.get_disabled_useragent_ids\") as mock_disabled_user_agents, \\\n             patch(\"backend.services.memory_config_service.build_memory_config\") as mock_build_config:\n\n            ctx = build_memory_context(self.user_id, self.tenant_id, self.agent_id, skip_query=True)\n\n            # Verify no database functions were called\n            mock_memory_switch.assert_not_called()\n            mock_agent_share.assert_not_called()\n            mock_disabled_agents.assert_not_called()\n            mock_disabled_user_agents.assert_not_called()\n            mock_build_config.assert_not_called()\n\n            # Verify the context is still properly constructed\n            self.assertEqual(ctx.tenant_id, self.tenant_id)\n            self.assertEqual(ctx.user_id, self.user_id)\n            self.assertEqual(ctx.agent_id, str(self.agent_id))\n\n    def test_build_memory_context_default_behavior(self):\n        \"\"\"Test build_memory_context default behavior (skip_query=False)\"\"\"\n        from backend.services.memory_config_service import build_memory_context\n\n        # Test that default parameter works as expected\n        ctx = build_memory_context(self.user_id, self.tenant_id, self.agent_id)\n\n        # Should have called database functions (covered by existing tests)\n        # Just verify the structure\n        self.assertEqual(ctx.tenant_id, self.tenant_id)\n        self.assertEqual(ctx.user_id, self.user_id)\n        self.assertEqual(ctx.agent_id, str(self.agent_id))\n        self.assertIsInstance(ctx.memory_config, dict)\n        self.assertIsNotNone(ctx.user_config)\n\n\nif __name__ == \"__main__\":\n    unittest.main()\n"
  },
  {
    "path": "test/backend/services/test_model_health_service.py",
    "content": "import os\nimport sys\nfrom unittest import mock\n\nimport pytest\n\n# Dynamically determine the backend path\ncurrent_dir = os.path.dirname(os.path.abspath(__file__))\nbackend_dir = os.path.abspath(os.path.join(current_dir, \"../../../backend\"))\nsys.path.append(backend_dir)\n\n\nclass MockModule(mock.MagicMock):\n    @classmethod\n    def __getattr__(cls, key):\n        return mock.MagicMock()  # Return a regular MagicMock instead of a new MockModule\n\n\n# Mock required modules before any imports occur\nsys.modules['database'] = MockModule()\nsys.modules['database.client'] = MockModule()\nsys.modules['database.model_management_db'] = MockModule()\nsys.modules['utils'] = MockModule()\nsys.modules['utils.auth_utils'] = MockModule()\nsys.modules['utils.config_utils'] = MockModule()\nsys.modules['utils.model_name_utils'] = MockModule()\n\n# Mock nexent packages and modules with proper hierarchy\nsys.modules['nexent'] = MockModule()\nsys.modules['nexent.core'] = MockModule()\nsys.modules['nexent.core.agents'] = MockModule()\nsys.modules['nexent.core.agents.agent_model'] = MockModule()\nsys.modules['nexent.core.models'] = MockModule()\nsys.modules['nexent.core.models.embedding_model'] = MockModule()\n\n# Mock services packages\nsys.modules['services'] = MockModule()\nsys.modules['services.voice_service'] = MockModule()\n\n# Define the ModelConnectStatusEnum for testing\nclass ModelConnectStatusEnum:\n    AVAILABLE = \"available\"\n    UNAVAILABLE = \"unavailable\"\n    DETECTING = \"detecting\"\n\n# Define a ModelResponse class for testing\nclass ModelResponse:\n    def __init__(self, code, message=\"\", data=None):\n        self.code = code\n        self.message = message\n        self.data = data or {}\n\n\n# Now import the module under test\ntry:\n    from backend.services.model_health_service import (\n        _perform_connectivity_check,\n        check_model_connectivity,\n        verify_model_config_connectivity,\n        _embedding_dimension_check,\n        embedding_dimension_check,\n    )\nexcept ImportError:\n    from backend.services.model_health_service import (\n        _perform_connectivity_check,\n        check_model_connectivity,\n        verify_model_config_connectivity,\n        _embedding_dimension_check,\n        embedding_dimension_check,\n    )\n\n# Mock imported functions/classes after import\n\n# Apply patch before importing the module to be tested\nwith mock.patch.dict('sys.modules', {\n    'nexent': mock.MagicMock(),\n    'nexent.core': mock.MagicMock(),\n    'nexent.core.agents': mock.MagicMock(),\n    'nexent.core.agents.agent_model': mock.MagicMock(),\n    'nexent.core.models': mock.MagicMock(),\n    'nexent.core.models.embedding_model': mock.MagicMock(),\n    'database': mock.MagicMock(),\n    'database.client': mock.MagicMock(),\n    'database.model_management_db': mock.MagicMock(),\n    'utils': mock.MagicMock(),\n    'utils.auth_utils': mock.MagicMock(),\n    'utils.config_utils': mock.MagicMock(),\n    'utils.model_name_utils': mock.MagicMock(),\n    'services': mock.MagicMock(),\n    'services.voice_service': mock.MagicMock(),\n    'consts.model': mock.MagicMock(),\n    'consts.const': mock.MagicMock(),\n    'consts.provider': mock.MagicMock()\n}):\n    # Define the mocked enums and classes\n    mock_model_enum = mock.MagicMock()\n    mock_model_enum.AVAILABLE = \"available\"\n    mock_model_enum.UNAVAILABLE = \"unavailable\"\n    mock_model_enum.DETECTING = \"detecting\"\n    mock.patch('consts.model.ModelConnectStatusEnum', mock_model_enum)\n\n    # Now import the module under test (wrapped with fallback for optional symbols)\n    try:\n        from backend.services.model_health_service import (\n            _perform_connectivity_check,\n            check_model_connectivity,\n            verify_model_config_connectivity,\n            _embedding_dimension_check,\n            embedding_dimension_check,\n        )\n    except ImportError:\n        from backend.services.model_health_service import (\n            _perform_connectivity_check,\n            check_model_connectivity,\n            verify_model_config_connectivity,\n            _embedding_dimension_check,\n            embedding_dimension_check,\n        )\n\n\n@pytest.mark.asyncio\nasync def test_perform_connectivity_check_embedding():\n    # Setup\n    with mock.patch(\"backend.services.model_health_service.OpenAICompatibleEmbedding\") as mock_embedding:\n        mock_embedding_instance = mock.MagicMock()\n        mock_embedding_instance.dimension_check = mock.AsyncMock(return_value=[\n                                                                 1])\n        mock_embedding.return_value = mock_embedding_instance\n\n        # Execute\n        result = await _perform_connectivity_check(\n            \"text-embedding-ada-002\",\n            \"embedding\",\n            \"https://api.openai.com\",\n            \"test-key\",\n        )\n\n        # Assert\n        assert result is True\n        mock_embedding.assert_called_once_with(\n            model_name=\"text-embedding-ada-002\",\n            base_url=\"https://api.openai.com\",\n            api_key=\"test-key\",\n            embedding_dim=0,\n            ssl_verify=True\n        )\n        mock_embedding_instance.dimension_check.assert_called_once()\n\n\n@pytest.mark.asyncio\nasync def test_perform_connectivity_check_multi_embedding():\n    # Setup\n    with mock.patch(\"backend.services.model_health_service.JinaEmbedding\") as mock_embedding:\n        mock_embedding_instance = mock.MagicMock()\n        mock_embedding_instance.dimension_check = mock.AsyncMock(return_value=[\n                                                                 1])\n        mock_embedding.return_value = mock_embedding_instance\n\n        # Execute\n        result = await _perform_connectivity_check(\n            \"jina-embeddings-v2\",\n            \"multi_embedding\",\n            \"https://api.jina.ai\",\n            \"test-key\",\n        )\n\n        # Assert\n        assert result is True\n        mock_embedding.assert_called_once_with(\n            model_name=\"jina-embeddings-v2\",\n            base_url=\"https://api.jina.ai\",\n            api_key=\"test-key\",\n            embedding_dim=0,\n            ssl_verify=True\n        )\n        mock_embedding_instance.dimension_check.assert_called_once()\n\n\n@pytest.mark.asyncio\nasync def test_perform_connectivity_check_llm():\n    # Setup\n    with mock.patch(\"backend.services.model_health_service.MessageObserver\") as mock_observer, \\\n            mock.patch(\"backend.services.model_health_service.OpenAIModel\") as mock_model:\n        mock_observer_instance = mock.MagicMock()\n        mock_observer.return_value = mock_observer_instance\n\n        mock_model_instance = mock.MagicMock()\n        mock_model_instance.check_connectivity = mock.AsyncMock(\n            return_value=True)\n        mock_model.return_value = mock_model_instance\n\n        # Execute\n        result = await _perform_connectivity_check(\n            \"gpt-4\",\n            \"llm\",\n            \"https://api.openai.com\",\n            \"test-key\",\n        )\n\n        # Assert\n        assert result is True\n        mock_model.assert_called_once_with(\n            mock_observer_instance,\n            model_id=\"gpt-4\",\n            api_base=\"https://api.openai.com\",\n            api_key=\"test-key\",\n            ssl_verify=True\n        )\n        mock_model_instance.check_connectivity.assert_called_once()\n\n\n@pytest.mark.asyncio\nasync def test_perform_connectivity_check_vlm():\n    # Setup\n    with mock.patch(\"backend.services.model_health_service.MessageObserver\") as mock_observer, \\\n            mock.patch(\"backend.services.model_health_service.OpenAIVLModel\") as mock_model:\n        mock_observer_instance = mock.MagicMock()\n        mock_observer.return_value = mock_observer_instance\n\n        mock_model_instance = mock.MagicMock()\n        mock_model_instance.check_connectivity = mock.AsyncMock(\n            return_value=True)\n        mock_model.return_value = mock_model_instance\n\n        # Execute\n        result = await _perform_connectivity_check(\n            \"gpt-4-vision\",\n            \"vlm\",\n            \"https://api.openai.com\",\n            \"test-key\",\n        )\n\n        # Assert\n        assert result is True\n        mock_model.assert_called_once_with(\n            mock_observer_instance,\n            model_id=\"gpt-4-vision\",\n            api_base=\"https://api.openai.com\",\n            api_key=\"test-key\",\n            ssl_verify=True\n        )\n        mock_model_instance.check_connectivity.assert_called_once()\n\n\n@pytest.mark.asyncio\nasync def test_perform_connectivity_check_tts():\n    # Setup\n    with mock.patch(\"backend.services.model_health_service.get_voice_service\") as mock_get_voice_service:\n        mock_service_instance = mock.MagicMock()\n        # Fix: make check_voice_connectivity return an awaitable coroutine instead of a bool\n        async_mock = mock.AsyncMock()\n        async_mock.return_value = True\n        mock_service_instance.check_voice_connectivity = async_mock\n        mock_get_voice_service.return_value = mock_service_instance\n\n        # Execute\n        result = await _perform_connectivity_check(\n            \"tts-1\",\n            \"tts\",\n            \"https://api.openai.com\",\n            \"test-key\",\n        )\n\n        # Assert\n        assert result is True\n        mock_service_instance.check_voice_connectivity.assert_called_once_with(\"tts\")\n\n\n@pytest.mark.asyncio\nasync def test_perform_connectivity_check_stt():\n    # Setup\n    with mock.patch(\"backend.services.model_health_service.get_voice_service\") as mock_get_voice_service:\n        mock_service_instance = mock.MagicMock()\n        # Fix: make check_voice_connectivity return an awaitable coroutine instead of a bool\n        async_mock = mock.AsyncMock()\n        async_mock.return_value = True\n        mock_service_instance.check_voice_connectivity = async_mock\n        mock_get_voice_service.return_value = mock_service_instance\n\n        # Execute\n        result = await _perform_connectivity_check(\n            \"whisper-1\",\n            \"stt\",\n            \"https://api.openai.com\",\n            \"test-key\",\n        )\n\n        # Assert\n        assert result is True\n        mock_service_instance.check_voice_connectivity.assert_called_once_with(\"stt\")\n\n\n@pytest.mark.asyncio\nasync def test_perform_connectivity_check_rerank():\n    # Execute\n    result = await _perform_connectivity_check(\n        \"rerank-model\",\n        \"rerank\",\n        \"https://api.example.com\",\n        \"test-key\",\n    )\n\n    # Assert\n    assert result is False\n\n\n@pytest.mark.asyncio\nasync def test_perform_connectivity_check_base_url_normalization_localhost():\n    # Setup\n    with mock.patch(\"backend.services.model_health_service.MessageObserver\") as mock_observer, \\\n            mock.patch(\"backend.services.model_health_service.OpenAIModel\") as mock_model:\n        mock_observer_instance = mock.MagicMock()\n        mock_observer.return_value = mock_observer_instance\n\n        mock_model_instance = mock.MagicMock()\n        mock_model_instance.check_connectivity = mock.AsyncMock(\n            return_value=True)\n        mock_model.return_value = mock_model_instance\n\n        # Execute with localhost which should be normalized\n        result = await _perform_connectivity_check(\n            \"gpt-4\",\n            \"llm\",\n            \"http://localhost:8080\",\n            \"test-key\",\n        )\n\n        # Assert\n        assert result is True\n        # Ensure api_base has been normalized when calling the model\n        mock_model.assert_called_once_with(\n            mock_observer_instance,\n            model_id=\"gpt-4\",\n            api_base=\"http://host.docker.internal:8080\",\n            api_key=\"test-key\",\n            ssl_verify=True\n        )\n\n\n@pytest.mark.asyncio\nasync def test_perform_connectivity_check_base_url_normalization_127001():\n    # Setup\n    with mock.patch(\"backend.services.model_health_service.MessageObserver\") as mock_observer, \\\n            mock.patch(\"backend.services.model_health_service.OpenAIModel\") as mock_model:\n        mock_observer_instance = mock.MagicMock()\n        mock_observer.return_value = mock_observer_instance\n\n        mock_model_instance = mock.MagicMock()\n        mock_model_instance.check_connectivity = mock.AsyncMock(\n            return_value=True)\n        mock_model.return_value = mock_model_instance\n\n        # Execute with 127.0.0.1 which should be normalized\n        result = await _perform_connectivity_check(\n            \"gpt-4\",\n            \"llm\",\n            \"http://127.0.0.1:8000\",\n            \"test-key\",\n        )\n\n        # Assert\n        assert result is True\n        # Ensure api_base has been normalized when calling the model\n        mock_model.assert_called_once_with(\n            mock_observer_instance,\n            model_id=\"gpt-4\",\n            api_base=\"http://host.docker.internal:8000\",\n            api_key=\"test-key\",\n            ssl_verify=True\n        )\n\n@pytest.mark.asyncio\nasync def test_perform_connectivity_check_unsupported_type():\n    # Execute and Assert\n    with pytest.raises(ValueError) as excinfo:\n        await _perform_connectivity_check(\n            \"unsupported-model\",\n            \"unsupported_type\",\n            \"https://api.example.com\",\n            \"test-key\",\n        )\n\n    assert \"Unsupported model type\" in str(excinfo.value)\n\n\n@pytest.mark.asyncio\nasync def test_check_model_connectivity_success():\n    # Setup\n    with mock.patch(\"backend.services.model_health_service._perform_connectivity_check\") as mock_connectivity_check, \\\n            mock.patch(\"backend.services.model_health_service.get_model_by_display_name\") as mock_get_model, \\\n            mock.patch(\"backend.services.model_health_service.update_model_record\") as mock_update_model, \\\n            mock.patch(\"backend.services.model_health_service.ModelConnectStatusEnum\") as mock_enum:\n\n        mock_enum.AVAILABLE.value = \"available\"\n        mock_enum.UNAVAILABLE.value = \"unavailable\"\n        mock_enum.DETECTING.value = \"detecting\"\n\n        mock_get_model.return_value = {\n            \"model_id\": \"model123\",\n            \"model_repo\": \"openai\",\n            \"model_name\": \"gpt-4\",\n            \"model_type\": \"llm\",\n            \"base_url\": \"https://api.openai.com\",\n            \"api_key\": \"test-key\"\n        }\n        mock_connectivity_check.return_value = True\n\n        # Execute\n        response = await check_model_connectivity(\"GPT-4\", \"tenant456\")\n\n        # Assert\n        assert response[\"connectivity\"] is True\n\n        mock_get_model.assert_called_once_with(\"GPT-4\", tenant_id=\"tenant456\")\n        # Detecting first, then available\n        mock_update_model.assert_any_call(\n            \"model123\", {\"connect_status\": \"detecting\"})\n        mock_update_model.assert_any_call(\n            \"model123\", {\"connect_status\": \"available\"})\n        mock_connectivity_check.assert_called_once_with(\n            \"openai/gpt-4\", \"llm\", \"https://api.openai.com\", \"test-key\", True\n        )\n\n\n@pytest.mark.asyncio\nasync def test_check_model_connectivity_model_not_found():\n    # Setup\n    with mock.patch(\"backend.services.model_health_service.get_model_by_display_name\") as mock_get_model:\n\n        mock_get_model.return_value = None\n\n        # Execute & Assert\n        with pytest.raises(LookupError):\n            await check_model_connectivity(\"NonexistentModel\", \"tenant456\")\n\n\n@pytest.mark.asyncio\nasync def test_check_model_connectivity_failure():\n    # Setup\n    with mock.patch(\"backend.services.model_health_service._perform_connectivity_check\") as mock_connectivity_check, \\\n            mock.patch(\"backend.services.model_health_service.get_model_by_display_name\") as mock_get_model, \\\n            mock.patch(\"backend.services.model_health_service.update_model_record\") as mock_update_model, \\\n            mock.patch(\"backend.services.model_health_service.ModelConnectStatusEnum\") as mock_enum:\n\n        mock_enum.AVAILABLE.value = \"available\"\n        mock_enum.UNAVAILABLE.value = \"unavailable\"\n        mock_enum.DETECTING.value = \"detecting\"\n\n        mock_get_model.return_value = {\n            \"model_id\": \"model123\",\n            \"model_name\": \"gpt-4\",\n            \"model_type\": \"llm\",\n            \"base_url\": \"https://api.openai.com\",\n            \"api_key\": \"test-key\"\n        }\n        mock_connectivity_check.return_value = False\n\n        # Execute\n        response = await check_model_connectivity(\"GPT-4\", \"tenant456\")\n\n        # Assert\n        assert response[\"connectivity\"] is False\n\n        # Check that we updated the model status to unavailable\n        mock_update_model.assert_any_call(\n            \"model123\", {\"connect_status\": \"unavailable\"})\n\n\n@pytest.mark.asyncio\nasync def test_check_model_connectivity_exception():\n    # Setup\n    with mock.patch(\"backend.services.model_health_service._perform_connectivity_check\") as mock_connectivity_check, \\\n            mock.patch(\"backend.services.model_health_service.get_model_by_display_name\") as mock_get_model, \\\n            mock.patch(\"backend.services.model_health_service.update_model_record\") as mock_update_model, \\\n            mock.patch(\"backend.services.model_health_service.ModelConnectStatusEnum\") as mock_enum:\n\n        mock_enum.AVAILABLE.value = \"available\"\n        mock_enum.UNAVAILABLE.value = \"unavailable\"\n        mock_enum.DETECTING.value = \"detecting\"\n\n        mock_get_model.return_value = {\n            \"model_id\": \"model123\",\n            \"model_name\": \"gpt-4\",\n            \"model_type\": \"llm\",\n            \"base_url\": \"https://api.openai.com\",\n            \"api_key\": \"test-key\"\n        }\n        mock_connectivity_check.side_effect = ValueError(\n            \"Unsupported model type\")\n\n        # Execute & Assert\n        with pytest.raises(ValueError):\n            await check_model_connectivity(\"GPT-4\", \"tenant456\")\n\n        # Check that we updated the model status to unavailable\n        mock_update_model.assert_any_call(\n            \"model123\", {\"connect_status\": \"unavailable\"})\n\n\n@pytest.mark.asyncio\nasync def test_check_model_connectivity_general_exception():\n    # Setup\n    with mock.patch(\"backend.services.model_health_service.get_model_by_display_name\") as mock_get_model, \\\n            mock.patch(\"backend.services.model_health_service.update_model_record\") as mock_update_model, \\\n            mock.patch(\"backend.services.model_health_service.ModelConnectStatusEnum\") as mock_enum:\n\n        mock_enum.AVAILABLE.value = \"available\"\n        mock_enum.UNAVAILABLE.value = \"unavailable\"\n        mock_enum.DETECTING.value = \"detecting\"\n\n        mock_get_model.side_effect = Exception(\"Database error\")\n\n        # Execute & Assert\n        with pytest.raises(Exception):\n            await check_model_connectivity(\"GPT-4\", \"tenant456\")\n\n        # Should not update model record since we had an exception before getting to that point\n        mock_update_model.assert_not_called()\n\n\n@pytest.mark.asyncio\nasync def test_verify_model_config_connectivity_success():\n    # Setup\n    with mock.patch(\"backend.services.model_health_service._perform_connectivity_check\") as mock_connectivity_check:\n\n        mock_connectivity_check.return_value = True\n\n        model_config = {\n            \"model_name\": \"gpt-4\",\n            \"model_type\": \"llm\",\n            \"base_url\": \"https://api.openai.com\",\n            \"api_key\": \"test-key\",\n            \"max_tokens\": 2048\n        }\n\n        # Execute\n        response = await verify_model_config_connectivity(model_config)\n\n        # Assert\n        assert response[\"connectivity\"] is True\n        assert response[\"model_name\"] == \"gpt-4\"\n        # Success case should not have error field\n        assert \"error\" not in response\n\n        mock_connectivity_check.assert_called_once_with(\n            \"gpt-4\", \"llm\", \"https://api.openai.com\", \"test-key\", True\n        )\n\n\n@pytest.mark.asyncio\nasync def test_verify_model_config_connectivity_failure():\n    # Setup\n    with mock.patch(\"backend.services.model_health_service._perform_connectivity_check\") as mock_connectivity_check:\n\n        mock_connectivity_check.return_value = False\n\n        model_config = {\n            \"model_name\": \"gpt-4\",\n            \"model_type\": \"llm\",\n            \"base_url\": \"https://api.openai.com\",\n            \"api_key\": \"test-key\"\n        }\n\n        # Execute\n        response = await verify_model_config_connectivity(model_config)\n\n        # Assert\n        assert response[\"connectivity\"] is False\n        assert response[\"model_name\"] == \"gpt-4\"\n        # Failure case should have error field with descriptive message\n        assert \"error\" in response\n        assert \"Failed to connect to model\" in response[\"error\"]\n        assert \"gpt-4\" in response[\"error\"]\n\n\n@pytest.mark.asyncio\nasync def test_verify_model_config_connectivity_validation_error():\n    # Setup\n    with mock.patch(\"backend.services.model_health_service._perform_connectivity_check\") as mock_connectivity_check:\n\n        mock_connectivity_check.side_effect = ValueError(\"Invalid model type\")\n\n        model_config = {\n            \"model_name\": \"invalid-model\",\n            \"model_type\": \"invalid_type\",\n            \"base_url\": \"https://api.example.com\",\n            \"api_key\": \"test-key\"\n        }\n\n        # Execute\n        response = await verify_model_config_connectivity(model_config)\n\n        # Assert\n        assert response[\"connectivity\"] is False\n        assert response[\"model_name\"] == \"invalid-model\"\n        # Validation error should be included in error field\n        assert \"error\" in response\n        assert \"Invalid model type\" in response[\"error\"]\n\n\n@pytest.mark.asyncio\nasync def test_verify_model_config_connectivity_exception():\n    # Setup\n    with mock.patch(\"backend.services.model_health_service._perform_connectivity_check\") as mock_connectivity_check:\n\n        mock_connectivity_check.side_effect = Exception(\"Unexpected error\")\n\n        model_config = {\n            \"model_name\": \"gpt-4\",\n            \"model_type\": \"llm\",\n            \"base_url\": \"https://api.openai.com\",\n            \"api_key\": \"test-key\"\n        }\n\n        # Execute\n        response = await verify_model_config_connectivity(model_config)\n\n        # Assert\n        assert response[\"connectivity\"] is False\n        assert response[\"model_name\"] == \"gpt-4\"\n        # Exception should be included in error field\n        assert \"error\" in response\n        assert \"Connection verification failed\" in response[\"error\"]\n        assert \"Unexpected error\" in response[\"error\"]\n\n\n@pytest.mark.asyncio\nasync def test_save_config_with_error():\n    # This is the placeholder test function provided by the user\n    pass\n\n\n@pytest.mark.asyncio\nasync def test_embedding_dimension_check_embedding_success():\n    with mock.patch(\"backend.services.model_health_service.OpenAICompatibleEmbedding\") as mock_embedding:\n        mock_embedding_instance = mock.MagicMock()\n        mock_embedding_instance.dimension_check = mock.AsyncMock(\n            return_value=[[0.1, 0.2, 0.3]])\n        mock_embedding.return_value = mock_embedding_instance\n\n        dimension = await _embedding_dimension_check(\n            \"test-embedding\", \"embedding\", \"http://test.com\", \"test-key\"\n        )\n        assert dimension == 3\n        mock_embedding.assert_called_once_with(\n            model_name=\"test-embedding\",\n            base_url=\"http://test.com\",\n            api_key=\"test-key\",\n            embedding_dim=0,\n            ssl_verify=True\n        )\n\n\n@pytest.mark.asyncio\nasync def test_embedding_dimension_check_multi_embedding_success():\n    with mock.patch(\"backend.services.model_health_service.JinaEmbedding\") as mock_embedding:\n        mock_embedding_instance = mock.MagicMock()\n        mock_embedding_instance.dimension_check = mock.AsyncMock(\n            return_value=[[0.1, 0.2, 0.3, 0.4]])\n        mock_embedding.return_value = mock_embedding_instance\n\n        dimension = await _embedding_dimension_check(\n            \"test-multi-embedding\", \"multi_embedding\", \"http://test.com\", \"test-key\"\n        )\n        assert dimension == 4\n        mock_embedding.assert_called_once_with(\n            model_name=\"test-multi-embedding\",\n            base_url=\"http://test.com\",\n            api_key=\"test-key\",\n            embedding_dim=0,\n            ssl_verify=True\n        )\n\n\n@pytest.mark.asyncio\nasync def test_embedding_dimension_check_unsupported_type():\n    with pytest.raises(ValueError):\n        await _embedding_dimension_check(\n            \"test-model\", \"unsupported\", \"http://test.com\", \"test-key\"\n        )\n\n\n@pytest.mark.asyncio\nasync def test_embedding_dimension_check_empty_return():\n    with mock.patch(\"backend.services.model_health_service.OpenAICompatibleEmbedding\") as mock_embedding:\n        mock_embedding_instance = mock.MagicMock()\n        mock_embedding_instance.dimension_check = mock.AsyncMock(\n            return_value=[])\n        mock_embedding.return_value = mock_embedding_instance\n\n        dimension = await _embedding_dimension_check(\n            \"test-embedding\", \"embedding\", \"http://test.com\", \"test-key\"\n        )\n        assert dimension == 0\n\n\n@pytest.mark.asyncio\nasync def test_embedding_dimension_check_wrapper_success():\n    with mock.patch(\"backend.services.model_health_service._embedding_dimension_check\") as mock_internal_check, \\\n            mock.patch(\"backend.services.model_health_service.get_model_name_from_config\") as mock_get_name:\n        mock_internal_check.return_value = 1536\n        mock_get_name.return_value = \"openai/text-embedding-ada-002\"\n        model_config = {\n            \"model_repo\": \"openai\",\n            \"model_name\": \"text-embedding-ada-002\",\n            \"model_type\": \"embedding\",\n            \"base_url\": \"https://api.openai.com\",\n            \"api_key\": \"test-key\"\n        }\n        dimension = await embedding_dimension_check(model_config)\n        assert dimension == 1536\n        mock_get_name.assert_called_once_with(model_config)\n        mock_internal_check.assert_called_once_with(\n            \"openai/text-embedding-ada-002\", \"embedding\", \"https://api.openai.com\", \"test-key\", True\n        )\n\n\n@pytest.mark.asyncio\nasync def test_embedding_dimension_check_wrapper_exception():\n    with mock.patch(\"backend.services.model_health_service._embedding_dimension_check\") as mock_internal_check, \\\n            mock.patch(\"backend.services.model_health_service.get_model_name_from_config\") as mock_get_name, \\\n            mock.patch(\"backend.services.model_health_service.logger\") as mock_logger:\n        mock_internal_check.side_effect = Exception(\"test error\")\n        mock_get_name.return_value = \"openai/text-embedding-ada-002\"\n        model_config = {\n            \"model_repo\": \"openai\",\n            \"model_name\": \"text-embedding-ada-002\",\n            \"model_type\": \"embedding\",\n            \"base_url\": \"https://api.openai.com\",\n            \"api_key\": \"test-key\"\n        }\n        dimension = await embedding_dimension_check(model_config)\n        assert dimension == 0\n        mock_get_name.assert_called_once_with(model_config)\n        mock_logger.error.assert_called_once()\n\n\n@pytest.mark.asyncio\nasync def test_embedding_dimension_check_multi_embedding_empty_response():\n    \"\"\"Test multi_embedding dimension check with empty response (covers line 48-50)\"\"\"\n    with mock.patch(\"backend.services.model_health_service.JinaEmbedding\") as mock_embedding, \\\n            mock.patch(\"backend.services.model_health_service.logging\") as mock_logging:\n        mock_embedding_instance = mock.MagicMock()\n        mock_embedding_instance.dimension_check = mock.AsyncMock(\n            return_value=[])\n        mock_embedding.return_value = mock_embedding_instance\n\n        dimension = await _embedding_dimension_check(\n            \"test-multi-embedding\", \"multi_embedding\", \"http://test.com\", \"test-key\"\n        )\n\n        assert dimension == 0\n        mock_embedding.assert_called_once_with(\n            model_name=\"test-multi-embedding\",\n            base_url=\"http://test.com\",\n            api_key=\"test-key\",\n            embedding_dim=0,\n            ssl_verify=True\n        )\n        # Verify warning was logged\n        mock_logging.warning.assert_called_once_with(\n            \"Embedding dimension check for test-multi-embedding gets empty response\"\n        )\n\n\n@pytest.mark.asyncio\nasync def test_embedding_dimension_check_wrapper_value_error():\n    \"\"\"Test embedding_dimension_check wrapper with ValueError (covers line 249-250)\"\"\"\n    with mock.patch(\"backend.services.model_health_service._embedding_dimension_check\") as mock_internal_check, \\\n            mock.patch(\"backend.services.model_health_service.get_model_name_from_config\") as mock_get_name, \\\n            mock.patch(\"backend.services.model_health_service.logger\") as mock_logger:\n        mock_internal_check.side_effect = ValueError(\"Unsupported model type\")\n        mock_get_name.return_value = \"test-model\"\n        model_config = {\n            \"model_repo\": \"test\",\n            \"model_name\": \"test-model\",\n            \"model_type\": \"unsupported\",\n            \"base_url\": \"https://api.test.com\",\n            \"api_key\": \"test-key\"\n        }\n\n        dimension = await embedding_dimension_check(model_config)\n\n        assert dimension == 0\n        mock_get_name.assert_called_once_with(model_config)\n        mock_internal_check.assert_called_once_with(\n            \"test-model\", \"unsupported\", \"https://api.test.com\", \"test-key\", True\n        )\n        # Verify error was logged with the specific ValueError message\n        mock_logger.error.assert_called_once_with(\n            \"Error checking embedding dimension: Unsupported model type\"\n        )\n"
  },
  {
    "path": "test/backend/services/test_model_management_service.py",
    "content": "import os\nimport importlib\nimport logging\nimport sys\nimport types\nimport pytest\nfrom unittest import mock\n\n# Add backend to Python path for imports\ncurrent_dir = os.path.dirname(os.path.abspath(__file__))\nbackend_dir = os.path.abspath(os.path.join(current_dir, \"../../../backend\"))\nif backend_dir not in sys.path:\n    sys.path.insert(0, backend_dir)\n\n\n# Stub external modules required by consts.model before importing services\nif \"nexent\" not in sys.modules:\n    sys.modules[\"nexent\"] = mock.MagicMock()\nif \"nexent.core\" not in sys.modules:\n    sys.modules[\"nexent.core\"] = mock.MagicMock()\nif \"nexent.core.agents\" not in sys.modules:\n    sys.modules[\"nexent.core.agents\"] = mock.MagicMock()\nif \"nexent.core.agents.agent_model\" not in sys.modules:\n    agent_model_mod = types.ModuleType(\"nexent.core.agents.agent_model\")\n\n    class ToolConfig:  # minimal stub\n        pass\n\n    agent_model_mod.ToolConfig = ToolConfig\n    sys.modules[\"nexent.core.agents.agent_model\"] = agent_model_mod\n\n# Stub boto3 used by backend.database.client\nif \"boto3\" not in sys.modules:\n    sys.modules[\"boto3\"] = mock.MagicMock()\n\n# Provide stub modules for backend.database.client and database.client so that\n# patching MinioClient does not import the real client module (which pulls SQLAlchemy).\nbackend_db_client_mod = types.ModuleType(\"backend.database.client\")\n\n\nclass _MinioClient:  # minimal stub\n    pass\n\n\nbackend_db_client_mod.MinioClient = _MinioClient\nsys.modules[\"backend.database.client\"] = backend_db_client_mod\n\n# Ensure parent package exposes the submodule attribute for import machinery\ntry:\n    backend_database_pkg = importlib.import_module(\"backend.database\")\n    setattr(backend_database_pkg, \"client\", backend_db_client_mod)\nexcept Exception:\n    # If backend.database is not importable yet, defer to sys.modules injection\n    if \"backend.database\" in sys.modules:\n        setattr(sys.modules[\"backend.database\"],\n                \"client\", backend_db_client_mod)\n\n# Also stub database.client.MinioClient in case modules import without the 'backend.' prefix\ndatabase_client_mod = types.ModuleType(\"database.client\")\ndatabase_client_mod.MinioClient = _MinioClient\nsys.modules[\"database.client\"] = database_client_mod\n\nif \"database\" in sys.modules:\n    setattr(sys.modules[\"database\"], \"client\", database_client_mod)\n\n# Stub consts.model to avoid deep dependencies\nconsts_model_mod = types.ModuleType(\"consts.model\")\n\n\nclass _EnumItem:\n    def __init__(self, value: str):\n        self.value = value\n\n\nclass _ModelConnectStatusEnum:\n    OPERATIONAL = _EnumItem(\"operational\")\n    NOT_DETECTED = _EnumItem(\"not_detected\")\n    DETECTING = _EnumItem(\"detecting\")\n    UNAVAILABLE = _EnumItem(\"unavailable\")\n\n    @staticmethod\n    def get_value(status):\n        return status or _ModelConnectStatusEnum.NOT_DETECTED.value\n\n\nconsts_model_mod.ModelConnectStatusEnum = _ModelConnectStatusEnum\nsys.modules[\"consts.model\"] = consts_model_mod\nif \"consts\" not in sys.modules:\n    sys.modules[\"consts\"] = types.ModuleType(\"consts\")\n\n# Stub consts.const required by service\nconsts_const_mod = types.ModuleType(\"consts.const\")\nconsts_const_mod.LOCALHOST_IP = \"127.0.0.1\"\nconsts_const_mod.LOCALHOST_NAME = \"localhost\"\nconsts_const_mod.DOCKER_INTERNAL_HOST = \"host.docker.internal\"\n# Fields required by utils.memory_utils and services.vectordatabase_service\nconsts_const_mod.MODEL_CONFIG_MAPPING = {\n    \"llm\": \"LLM_ID\", \"embedding\": \"EMBEDDING_ID\"}\nconsts_const_mod.ES_HOST = \"http://localhost:9200\"\nconsts_const_mod.ES_API_KEY = \"\"\nconsts_const_mod.ES_USERNAME = \"\"\nconsts_const_mod.ES_PASSWORD = \"\"\nsys.modules[\"consts.const\"] = consts_const_mod\n\n# Stub sqlalchemy.sql.func used by utils.config_utils\nsqlalchemy_sql_mod = types.ModuleType(\"sqlalchemy.sql\")\n\n\nclass _Func:\n    pass\n\n\nsqlalchemy_sql_mod.func = _Func()\nsys.modules[\"sqlalchemy.sql\"] = sqlalchemy_sql_mod\n\n# Stub consts.provider used by service\nconsts_provider_mod = types.ModuleType(\"consts.provider\")\n\n\nclass _ProviderEnum:\n    SILICON = _EnumItem(\"silicon\")\n    MODELENGINE = _EnumItem(\"modelengine\")\n    DASHSCOPE = _EnumItem(\"dashscope\")\n    TOKENPONY = _EnumItem(\"tokenpony\")\n\n\nconsts_provider_mod.ProviderEnum = _ProviderEnum\nconsts_provider_mod.SILICON_BASE_URL = \"http://silicon.test\"\nconsts_provider_mod.DASHSCOPE_BASE_URL = \"https://dashscope.aliyuncs.com/compatible-mode/v1/\"\nconsts_provider_mod.TOKENPONY_BASE_URL = \"https://api.tokenpony.cn/v1/\"\nsys.modules[\"consts.provider\"] = consts_provider_mod\n\n# Stub services.model_provider_service used by service\nservices_provider_mod = types.ModuleType(\"services.model_provider_service\")\n\n\nasync def _prepare_model_dict(**kwargs):\n    return {}\n\n\ndef _merge_existing_model_tokens(model_list, tenant_id, provider, model_type):\n    return model_list\n\n\nasync def _get_provider_models(model_data):\n    return []\nservices_provider_mod.prepare_model_dict = _prepare_model_dict\nservices_provider_mod.merge_existing_model_tokens = _merge_existing_model_tokens\nservices_provider_mod.get_provider_models = _get_provider_models\nsys.modules[\"services.model_provider_service\"] = services_provider_mod\n\n# Stub services.model_health_service used by service\nservices_health_mod = types.ModuleType(\"services.model_health_service\")\n\n\nasync def _embedding_dimension_check(model_config):\n    return 0\nservices_health_mod.embedding_dimension_check = _embedding_dimension_check\nsys.modules[\"services.model_health_service\"] = services_health_mod\n\n# Stub utils.model_name_utils used by service\nutils_name_mod = types.ModuleType(\"utils.model_name_utils\")\n\n\ndef _add_repo_to_name(model_repo, model_name):\n    return f\"{model_repo}/{model_name}\" if model_repo else model_name\n\n\ndef _split_display_name(model_name: str):\n    return model_name.split(\"/\")[-1]\n\n\ndef _split_repo_name(model_name: str):\n    parts = model_name.split(\"/\", 1)\n    return (parts[0], parts[1]) if len(parts) > 1 else (\"\", parts[0])\n\n\ndef _sort_models_by_id(model_list):\n    if isinstance(model_list, list):\n        model_list.sort(key=lambda m: str(\n            (m.get(\"id\") if isinstance(m, dict) else m) or \"\")[:1].lower())\n    return model_list\n\n\nutils_name_mod.add_repo_to_name = _add_repo_to_name\nutils_name_mod.split_display_name = _split_display_name\nutils_name_mod.split_repo_name = _split_repo_name\nutils_name_mod.sort_models_by_id = _sort_models_by_id\nsys.modules[\"utils.model_name_utils\"] = utils_name_mod\n\n# Stub database.model_management_db to avoid importing heavy DB client\ndatabase_mod = types.ModuleType(\"database\")\ndb_mm_mod = types.ModuleType(\"database.model_management_db\")\n\n\ndef _noop(*args, **kwargs):\n    return None\n\n\ndef _get_model_records(*args, **kwargs):\n    return []\n\n\ndef _get_models_by_tenant_factory_type(*args, **kwargs):\n    return []\n\n\ndef _get_models_by_display_name(*args, **kwargs):\n    \"\"\"Return an empty list for display name lookups in tests.\"\"\"\n    return []\n\n\ndb_mm_mod.create_model_record = _noop\ndb_mm_mod.delete_model_record = _noop\ndb_mm_mod.get_model_by_display_name = _noop\ndb_mm_mod.get_models_by_display_name = _get_models_by_display_name\ndb_mm_mod.get_model_records = _get_model_records\ndb_mm_mod.get_models_by_tenant_factory_type = _get_models_by_tenant_factory_type\n\n\ndef _get_model_by_model_id(model_id: int, tenant_id: str):\n    # Minimal model config stub for utils.config_utils.get_model_name_from_config usage\n    return {\n        \"model_id\": model_id,\n        \"model_repo\": \"openai\",\n        \"model_name\": \"text-embedding-3-small\",\n        \"max_tokens\": 1536,\n        \"base_url\": \"https://api.openai.com\",\n        \"api_key\": \"test-key\",\n    }\n\n\ndb_mm_mod.get_model_by_model_id = _get_model_by_model_id\ndb_mm_mod.update_model_record = _noop\nsys.modules[\"database\"] = database_mod\nsys.modules[\"database.model_management_db\"] = db_mm_mod\n\n# Stub database.tenant_config_db required by utils.config_utils\ndb_tenant_cfg_mod = types.ModuleType(\"database.tenant_config_db\")\n\n\ndef _delete_config_by_tenant_config_id(*args, **kwargs):\n    return None\n\n\ndef _get_all_configs_by_tenant_id(tenant_id):\n    return {}\n\n\ndef _get_single_config_info(*args, **kwargs):\n    return None\n\n\ndef _insert_config(*args, **kwargs):\n    return None\n\n\ndef _update_config_by_tenant_config_id_and_data(*args, **kwargs):\n    return None\n\n\ndef _update_config_by_tenant_config_id(*args, **kwargs):\n    return None\n\n\ndb_tenant_cfg_mod.delete_config_by_tenant_config_id = _delete_config_by_tenant_config_id\ndb_tenant_cfg_mod.get_all_configs_by_tenant_id = _get_all_configs_by_tenant_id\ndb_tenant_cfg_mod.get_single_config_info = _get_single_config_info\ndb_tenant_cfg_mod.insert_config = _insert_config\ndb_tenant_cfg_mod.update_config_by_tenant_config_id = _update_config_by_tenant_config_id\ndb_tenant_cfg_mod.update_config_by_tenant_config_id_and_data = _update_config_by_tenant_config_id_and_data\nsys.modules[\"database.tenant_config_db\"] = db_tenant_cfg_mod\n\n# Stub services.vectordatabase_service to avoid heavy imports\nservices_vdb_mod = types.ModuleType(\"services.vectordatabase_service\")\n\n\ndef _get_vector_db_core():\n    return object()\n\n\nservices_vdb_mod.get_vector_db_core = _get_vector_db_core\nsys.modules[\"services.vectordatabase_service\"] = services_vdb_mod\n\n# Stub nexent.memory.memory_service.clear_model_memories\nnexent_memory_mod = types.ModuleType(\"nexent.memory.memory_service\")\n\n\nasync def _clear_model_memories(**kwargs):\n    return None\nnexent_memory_mod.clear_model_memories = _clear_model_memories\nsys.modules[\"nexent.memory.memory_service\"] = nexent_memory_mod\n\n# Stub services.tenant_service required by list_models_for_admin BEFORE any imports\nservices_tenant_mod = types.ModuleType(\"services.tenant_service\")\n\n\ndef _get_tenant_info(tenant_id):\n    \"\"\"Mock implementation of get_tenant_info for testing.\"\"\"\n    # Raise exception for empty tenant to test error handling\n    if tenant_id == \"empty_tenant\":\n        raise Exception(\"Tenant not found\")\n    return {\"tenant_name\": \"Test Tenant\"}\n\n\nservices_tenant_mod.get_tenant_info = _get_tenant_info\nsys.modules[\"services.tenant_service\"] = services_tenant_mod\n\n\ndef _add_repo_to_name(model_repo, model_name):\n    \"\"\"Mock implementation of add_repo_to_name for testing.\"\"\"\n    return f\"{model_repo}/{model_name}\" if model_repo else model_name\n\n\ndef import_svc():\n    \"\"\"Import service under MinioClient patch to avoid real initialization.\"\"\"\n    minio_client_mock = mock.MagicMock()\n    with mock.patch(\"backend.database.client.MinioClient\", return_value=minio_client_mock):\n        from backend.services import model_management_service as svc  # type: ignore\n    return svc\n\n\n@pytest.mark.asyncio\nasync def test_create_model_for_tenant_success_llm():\n    svc = import_svc()\n\n    with mock.patch.object(svc, \"get_model_by_display_name\", return_value=None) as mock_get_by_display, \\\n            mock.patch.object(svc, \"create_model_record\") as mock_create, \\\n            mock.patch.object(svc, \"split_repo_name\", return_value=(\"huggingface\", \"llama\")):\n\n        user_id = \"u1\"\n        tenant_id = \"t1\"\n        model_data = {\n            \"model_name\": \"huggingface/llama\",\n            \"display_name\": None,\n            \"base_url\": \"http://localhost:8000\",\n            \"model_type\": \"llm\",\n        }\n        model_data['ssl_verify'] = False\n\n        await svc.create_model_for_tenant(user_id, tenant_id, model_data)\n\n        mock_get_by_display.assert_called_once_with(\n            \"huggingface/llama\", tenant_id)\n        # create_model_record called once for non-multimodal\n        assert mock_create.call_count == 1\n\n\n@pytest.mark.asyncio\nasync def test_create_model_for_tenant_open_router_disables_ssl():\n    \"\"\"When base_url contains 'open/router' ssl_verify should be set to False.\"\"\"\n    svc = import_svc()\n\n    with mock.patch.object(svc, \"get_model_by_display_name\", return_value=None), \\\n            mock.patch.object(svc, \"create_model_record\") as mock_create, \\\n            mock.patch.object(svc, \"split_repo_name\", return_value=(\"modelengine\", \"m\")):\n\n        user_id = \"u1\"\n        tenant_id = \"t1\"\n        model_data = {\n            \"model_name\": \"modelengine/m\",\n            \"display_name\": None,\n            \"base_url\": \"https://api.example.com/open/router/v1\",\n            \"model_type\": \"llm\",\n        }\n\n        await svc.create_model_for_tenant(user_id, tenant_id, model_data)\n\n        # Ensure a single record created and ssl_verify was disabled\n        assert mock_create.call_count == 1\n        create_args = mock_create.call_args[0][0]\n        assert create_args[\"ssl_verify\"] is False\n\n\n@pytest.mark.asyncio\nasync def test_create_model_for_tenant_conflict_raises():\n    svc = import_svc()\n\n    with mock.patch.object(svc, \"get_model_by_display_name\", return_value={\"model_id\": \"exists\"}):\n        user_id = \"u1\"\n        tenant_id = \"t1\"\n        model_data = {\n            \"model_name\": \"huggingface/llama\",\n            \"display_name\": \"dup\",\n            \"base_url\": \"http://localhost:8000\",\n            \"model_type\": \"llm\",\n        }\n\n        with pytest.raises(Exception) as exc:\n            await svc.create_model_for_tenant(user_id, tenant_id, model_data)\n        assert \"Failed to create model\" in str(exc.value)\n\n\n@pytest.mark.asyncio\nasync def test_create_model_for_tenant_display_name_conflict_valueerror():\n    \"\"\"Test that display_name conflict raises ValueError (covers lines 65-72)\"\"\"\n    svc = import_svc()\n\n    existing_model = {\"model_id\": 1, \"display_name\": \"existing_name\"}\n    with mock.patch.object(svc, \"get_model_by_display_name\", return_value=existing_model):\n        user_id = \"u1\"\n        tenant_id = \"t1\"\n        model_data = {\n            \"model_name\": \"huggingface/llama\",\n            \"display_name\": \"existing_name\",  # Conflicts with existing\n            \"base_url\": \"http://localhost:8000\",\n            \"model_type\": \"llm\",\n        }\n\n        # ValueError is wrapped in Exception, but the error message should contain the original ValueError message\n        with pytest.raises(Exception) as exc:\n            await svc.create_model_for_tenant(user_id, tenant_id, model_data)\n        assert \"already in use\" in str(exc.value)\n        assert \"existing_name\" in str(exc.value)\n\n\n@pytest.mark.asyncio\nasync def test_create_model_for_tenant_multi_embedding_creates_two_records():\n    svc = import_svc()\n\n    with mock.patch.object(svc, \"get_model_by_display_name\", return_value=None), \\\n            mock.patch.object(svc, \"create_model_record\") as mock_create, \\\n            mock.patch.object(svc, \"split_repo_name\", return_value=(\"openai\", \"clip\")):\n\n        user_id = \"u1\"\n        tenant_id = \"t1\"\n        model_data = {\n            \"model_name\": \"openai/clip\",\n            \"display_name\": None,\n            \"base_url\": \"https://api.openai.com\",\n            \"model_type\": \"multi_embedding\",\n        }\n\n        await svc.create_model_for_tenant(user_id, tenant_id, model_data)\n        # Should create two records: multi_embedding and its embedding variant\n        assert mock_create.call_count == 2\n\n\n@pytest.mark.asyncio\nasync def test_create_model_for_tenant_embedding_sets_dimension():\n    svc = import_svc()\n\n    with mock.patch.object(svc, \"get_model_by_display_name\", return_value=None), \\\n            mock.patch.object(svc, \"embedding_dimension_check\", new=mock.AsyncMock(return_value=1536)) as mock_dim, \\\n            mock.patch.object(svc, \"create_model_record\") as mock_create, \\\n            mock.patch.object(svc, \"split_repo_name\", return_value=(\"openai\", \"text-embedding-ada-002\")):\n\n        user_id = \"u1\"\n        tenant_id = \"t1\"\n        model_data = {\n            \"model_name\": \"openai/text-embedding-ada-002\",\n            \"display_name\": None,\n            \"base_url\": \"https://api.openai.com\",\n            \"model_type\": \"embedding\",\n        }\n\n        await svc.create_model_for_tenant(user_id, tenant_id, model_data)\n\n        mock_dim.assert_awaited()\n        # Ensure we created exactly one record (non-multimodal)\n        assert mock_create.call_count == 1\n\n\n@pytest.mark.asyncio\nasync def test_create_model_for_tenant_embedding_sets_default_chunk_batch():\n    \"\"\"chunk_batch defaults to 10 when not provided for embedding models.\"\"\"\n    svc = import_svc()\n\n    with mock.patch.object(svc, \"get_model_by_display_name\", return_value=None), \\\n            mock.patch.object(svc, \"embedding_dimension_check\", new=mock.AsyncMock(return_value=512)) as mock_dim, \\\n            mock.patch.object(svc, \"create_model_record\") as mock_create, \\\n            mock.patch.object(svc, \"split_repo_name\", return_value=(\"openai\", \"text-embedding-3-small\")):\n\n        user_id = \"u1\"\n        tenant_id = \"t1\"\n        model_data = {\n            \"model_name\": \"openai/text-embedding-3-small\",\n            \"display_name\": None,\n            \"base_url\": \"https://api.openai.com\",\n            \"model_type\": \"embedding\",\n            \"chunk_batch\": None,  # Explicitly unset to exercise defaulting\n        }\n\n        await svc.create_model_for_tenant(user_id, tenant_id, model_data)\n\n        mock_dim.assert_awaited_once()\n        assert mock_create.call_count == 1\n        # chunk_batch should be defaulted before persistence\n        create_args = mock_create.call_args[0][0]\n        assert create_args[\"chunk_batch\"] == 10\n\n\n@pytest.mark.asyncio\nasync def test_create_model_for_tenant_multi_embedding_sets_default_chunk_batch():\n    \"\"\"chunk_batch defaults to 10 when not provided for multi_embedding models (covers line 79).\"\"\"\n    svc = import_svc()\n\n    with mock.patch.object(svc, \"get_model_by_display_name\", return_value=None), \\\n            mock.patch.object(svc, \"embedding_dimension_check\", new=mock.AsyncMock(return_value=512)) as mock_dim, \\\n            mock.patch.object(svc, \"create_model_record\") as mock_create, \\\n            mock.patch.object(svc, \"split_repo_name\", return_value=(\"openai\", \"clip\")):\n\n        user_id = \"u1\"\n        tenant_id = \"t1\"\n        model_data = {\n            \"model_name\": \"openai/clip\",\n            \"display_name\": None,\n            \"base_url\": \"https://api.openai.com\",\n            \"model_type\": \"multi_embedding\",\n            \"chunk_batch\": None,  # Explicitly unset to exercise defaulting\n        }\n\n        await svc.create_model_for_tenant(user_id, tenant_id, model_data)\n\n        mock_dim.assert_awaited_once()\n        # Should create two records: multi_embedding and its embedding variant\n        assert mock_create.call_count == 2\n\n        # Verify chunk_batch was set to 10 for both records\n        create_calls = mock_create.call_args_list\n        # First call is for multi_embedding\n        multi_emb_args = create_calls[0][0][0]\n        assert multi_emb_args[\"chunk_batch\"] == 10\n        assert multi_emb_args[\"model_type\"] == \"multi_embedding\"\n        # Second call is for embedding variant\n        emb_args = create_calls[1][0][0]\n        assert emb_args[\"chunk_batch\"] == 10\n        assert emb_args[\"model_type\"] == \"embedding\"\n\n\n@pytest.mark.asyncio\nasync def test_create_provider_models_for_tenant_success():\n    svc = import_svc()\n\n    req = {\"provider\": \"silicon\", \"model_type\": \"llm\"}\n    models = [{\"id\": \"silicon/a\"}, {\"id\": \"silicon/b\"}]\n\n    with mock.patch.object(svc, \"get_provider_models\", new=mock.AsyncMock(return_value=models)) as mock_get, \\\n            mock.patch.object(svc, \"merge_existing_model_tokens\", return_value=models) as mock_merge, \\\n            mock.patch.object(svc, \"sort_models_by_id\", side_effect=lambda m: m) as mock_sort:\n\n        out = await svc.create_provider_models_for_tenant(\"t1\", req)\n        assert out == models\n        mock_get.assert_awaited_once()\n        mock_merge.assert_called_once()\n        mock_sort.assert_called_once()\n\n\n@pytest.mark.asyncio\nasync def test_create_provider_models_for_tenant_exception():\n    svc = import_svc()\n\n    req = {\"provider\": \"silicon\", \"model_type\": \"llm\"}\n    with mock.patch.object(svc, \"get_provider_models\", new=mock.AsyncMock(side_effect=Exception(\"boom\"))):\n        with pytest.raises(Exception) as exc:\n            await svc.create_provider_models_for_tenant(\"t1\", req)\n        assert \"Failed to create provider models\" in str(exc.value)\n\n\n@pytest.mark.asyncio\nasync def test_batch_create_models_for_tenant_dashscope_provider():\n    \"\"\"Test batch_create_models_for_tenant with DASHSCOPE provider uses DASHSCOPE_BASE_URL.\"\"\"\n    svc = import_svc()\n\n    batch_payload = {\n        \"provider\": \"dashscope\",\n        \"type\": \"llm\",\n        \"models\": [{\"id\": \"qwen/qwen-turbo\", \"max_tokens\": 8192}],\n        \"api_key\": \"dash-key\",\n    }\n\n    with mock.patch.object(svc, \"get_models_by_tenant_factory_type\", return_value=[]), \\\n            mock.patch.object(svc, \"delete_model_record\"), \\\n            mock.patch.object(svc, \"split_repo_name\", return_value=(\"qwen\", \"qwen-turbo\")), \\\n            mock.patch.object(svc, \"add_repo_to_name\", return_value=\"qwen/qwen-turbo\"), \\\n            mock.patch.object(svc, \"get_model_by_display_name\", return_value=None), \\\n            mock.patch.object(svc, \"prepare_model_dict\", new=mock.AsyncMock(return_value={\"model_id\": 1})), \\\n            mock.patch.object(svc, \"create_model_record\", return_value=True):\n\n        await svc.batch_create_models_for_tenant(\"u1\", \"t1\", batch_payload)\n\n        call_args = svc.prepare_model_dict.call_args\n        assert call_args[1][\"model_url\"] == \"https://dashscope.aliyuncs.com/compatible-mode/v1/\"\n\n\n@pytest.mark.asyncio\nasync def test_batch_create_models_for_tenant_tokenpony_provider():\n    \"\"\"Test batch_create_models_for_tenant with TOKENPONY provider uses TOKENPONY_BASE_URL.\"\"\"\n    svc = import_svc()\n\n    batch_payload = {\n        \"provider\": \"tokenpony\",\n        \"type\": \"llm\",\n        \"models\": [{\"id\": \"gpt/gpt-4o\", \"max_tokens\": 128000}],\n        \"api_key\": \"tp-key\",\n    }\n\n    with mock.patch.object(svc, \"get_models_by_tenant_factory_type\", return_value=[]), \\\n            mock.patch.object(svc, \"delete_model_record\"), \\\n            mock.patch.object(svc, \"split_repo_name\", return_value=(\"gpt\", \"gpt-4o\")), \\\n            mock.patch.object(svc, \"add_repo_to_name\", return_value=\"gpt/gpt-4o\"), \\\n            mock.patch.object(svc, \"get_model_by_display_name\", return_value=None), \\\n            mock.patch.object(svc, \"prepare_model_dict\", new=mock.AsyncMock(return_value={\"model_id\": 2})), \\\n            mock.patch.object(svc, \"create_model_record\", return_value=True):\n\n        await svc.batch_create_models_for_tenant(\"u1\", \"t1\", batch_payload)\n\n        call_args = svc.prepare_model_dict.call_args\n        assert call_args[1][\"model_url\"] == \"https://api.tokenpony.cn/v1/\"\n\n\n@pytest.mark.asyncio\nasync def test_batch_create_models_for_tenant_other_provider():\n    \"\"\"Test batch_create_models_for_tenant with non-Silicon/ModelEngine provider (covers lines 138-140)\"\"\"\n    svc = import_svc()\n\n    batch_payload = {\n        \"provider\": \"openai\",  # Not Silicon or ModelEngine\n        \"type\": \"llm\",\n        \"models\": [\n            {\"id\": \"openai/gpt-4\", \"max_tokens\": 4096},\n        ],\n        \"api_key\": \"k\",\n    }\n\n    # Add MODELENGINE to ProviderEnum if it doesn't exist\n    if not hasattr(svc.ProviderEnum, 'MODELENGINE'):\n        modelengine_item = _EnumItem(\"modelengine\")\n        svc.ProviderEnum.MODELENGINE = modelengine_item\n\n    with mock.patch.object(svc, \"get_models_by_tenant_factory_type\", return_value=[]), \\\n            mock.patch.object(svc, \"delete_model_record\"), \\\n            mock.patch.object(svc, \"split_repo_name\", return_value=(\"openai\", \"gpt-4\")), \\\n            mock.patch.object(svc, \"add_repo_to_name\", return_value=\"openai/gpt-4\"), \\\n            mock.patch.object(svc, \"get_model_by_display_name\", return_value=None), \\\n            mock.patch.object(svc, \"prepare_model_dict\", new=mock.AsyncMock(return_value={\"model_id\": 1})), \\\n            mock.patch.object(svc, \"create_model_record\", return_value=True):\n\n        await svc.batch_create_models_for_tenant(\"u1\", \"t1\", batch_payload)\n\n        # Verify prepare_model_dict was called with empty model_url for non-Silicon/ModelEngine provider\n        call_args = svc.prepare_model_dict.call_args\n        # Should be empty for other providers\n        assert call_args[1][\"model_url\"] == \"\"\n\n\n@pytest.mark.asyncio\nasync def test_batch_create_models_for_tenant_flow():\n    svc = import_svc()\n\n    batch_payload = {\n        \"provider\": \"silicon\",\n        \"type\": \"llm\",\n        \"models\": [\n            {\"id\": \"silicon/keep\", \"max_tokens\": 4096},\n            {\"id\": \"silicon/new\", \"max_tokens\": 8192},\n        ],\n        \"api_key\": \"k\",\n    }\n\n    existing = [\n        {\"model_id\": \"del-id\", \"model_repo\": \"silicon\", \"model_name\": \"delete\"},\n        {\"model_id\": \"keep-id\", \"model_repo\": \"silicon\", \"model_name\": \"keep\"},\n    ]\n\n    def get_by_display(display_name, tenant_id):\n        if display_name == \"silicon/keep\":\n            return {\"model_id\": \"keep-id\", \"max_tokens\": 1024}\n        return None\n\n    with mock.patch.object(svc, \"get_models_by_tenant_factory_type\", return_value=existing) as mock_get_existing, \\\n            mock.patch.object(svc, \"delete_model_record\") as mock_delete, \\\n            mock.patch.object(svc, \"get_model_by_display_name\", side_effect=get_by_display) as mock_get_by_display, \\\n            mock.patch.object(svc, \"update_model_record\") as mock_update, \\\n            mock.patch.object(svc, \"prepare_model_dict\", new=mock.AsyncMock(return_value={\"prepared\": True})) as mock_prep, \\\n            mock.patch.object(svc, \"create_model_record\") as mock_create:\n\n        await svc.batch_create_models_for_tenant(\"u1\", \"t1\", batch_payload)\n\n        mock_get_existing.assert_called_once_with(\"t1\", \"silicon\", \"llm\")\n        mock_delete.assert_called_once_with(\"del-id\", \"u1\", \"t1\")\n        mock_get_by_display.assert_any_call(\"silicon/keep\", \"t1\")\n        mock_update.assert_called_once_with(\n            \"keep-id\", {\"max_tokens\": 4096}, \"u1\")\n        mock_prep.assert_awaited()\n        mock_create.assert_called_once()\n\n\n@pytest.mark.asyncio\nasync def test_batch_create_models_max_tokens_update():\n    \"\"\"Test batch_create_models updates max_tokens when display_name exists and max_tokens changed (covers lines 160->173, 168->171)\"\"\"\n    svc = import_svc()\n\n    batch_payload = {\n        \"provider\": \"silicon\",\n        \"type\": \"llm\",\n        \"models\": [\n            {\"id\": \"silicon/model1\", \"max_tokens\": 8192},  # Changed from 4096\n            {\"id\": \"silicon/model2\", \"max_tokens\": 4096},  # Same as existing\n            {\"id\": \"silicon/model3\", \"max_tokens\": None},  # None should not update\n        ],\n        \"api_key\": \"k\",\n    }\n\n    def get_by_display(display_name, tenant_id):\n        if display_name == \"silicon/model1\":\n            # Different from new value\n            return {\"model_id\": \"id1\", \"max_tokens\": 4096}\n        elif display_name == \"silicon/model2\":\n            return {\"model_id\": \"id2\", \"max_tokens\": 4096}  # Same as new value\n        elif display_name == \"silicon/model3\":\n            # Existing has value, new is None\n            return {\"model_id\": \"id3\", \"max_tokens\": 2048}\n        return None\n\n    with mock.patch.object(svc, \"get_models_by_tenant_factory_type\", return_value=[]), \\\n            mock.patch.object(svc, \"delete_model_record\"), \\\n            mock.patch.object(svc, \"split_repo_name\", side_effect=lambda x: (\"silicon\", x.split(\"/\")[1] if \"/\" in x else x)), \\\n            mock.patch.object(svc, \"add_repo_to_name\", side_effect=lambda r, n: f\"{r}/{n}\"), \\\n            mock.patch.object(svc, \"get_model_by_display_name\", side_effect=get_by_display) as mock_get_by_display, \\\n            mock.patch.object(svc, \"update_model_record\") as mock_update, \\\n            mock.patch.object(svc, \"prepare_model_dict\", new=mock.AsyncMock(return_value={\"model_id\": 1})), \\\n            mock.patch.object(svc, \"create_model_record\", return_value=True):\n\n        await svc.batch_create_models_for_tenant(\"u1\", \"t1\", batch_payload)\n\n        # Should update model1 (max_tokens changed from 4096 to 8192)\n        # Note: update_model_record may be called multiple times, so check if it was called with correct args\n        update_calls = [\n            call for call in mock_update.call_args_list if call[0][0] == \"id1\"]\n        if update_calls:\n            assert update_calls[0][0][1] == {\"max_tokens\": 8192}\n\n        # Should NOT update model2 (max_tokens same) or model3 (new max_tokens is None)\n        # Verify model2 and model3 were not updated\n        model2_calls = [\n            call for call in mock_update.call_args_list if call[0][0] == \"id2\"]\n        model3_calls = [\n            call for call in mock_update.call_args_list if call[0][0] == \"id3\"]\n        # model2 should not be updated (same max_tokens)\n        assert len(model2_calls) == 0\n        # model3 should not be updated (new max_tokens is None)\n        assert len(model3_calls) == 0\n\n\n@pytest.mark.asyncio\nasync def test_batch_create_models_for_tenant_exception():\n    svc = import_svc()\n\n    batch_payload = {\"provider\": \"other\", \"type\": \"llm\",\n                     \"models\": [{\"id\": \"x\"}], \"api_key\": \"k\"}\n\n    with mock.patch.object(svc, \"get_models_by_tenant_factory_type\", return_value=[]), \\\n            mock.patch.object(svc, \"prepare_model_dict\", new=mock.AsyncMock(side_effect=Exception(\"prep failed\"))):\n        with pytest.raises(Exception) as exc:\n            await svc.batch_create_models_for_tenant(\"u1\", \"t1\", batch_payload)\n        assert \"Failed to batch create models\" in str(exc.value)\n\n\nasync def test_list_provider_models_for_tenant_success():\n    svc = import_svc()\n\n    existing = [\n        {\"model_repo\": \"huggingface\", \"model_name\": \"llama\"},\n        {\"model_repo\": \"openai\", \"model_name\": \"clip\"},\n    ]\n    with mock.patch.object(svc, \"get_models_by_tenant_factory_type\", return_value=existing):\n        out = await svc.list_provider_models_for_tenant(\"t1\", \"huggingface\", \"llm\")\n        assert out[0][\"id\"] == \"huggingface/llama\"\n        assert out[1][\"id\"] == \"openai/clip\"\n\n\nasync def test_list_provider_models_for_tenant_exception():\n    svc = import_svc()\n\n    with mock.patch.object(svc, \"get_models_by_tenant_factory_type\", side_effect=Exception(\"db\")):\n        with pytest.raises(Exception) as exc:\n            await svc.list_provider_models_for_tenant(\"t1\", \"p\", \"llm\")\n        assert \"Failed to list provider models\" in str(exc.value)\n\n\nasync def test_update_single_model_for_tenant_success_single_model():\n    \"\"\"Update succeeds for a single non-embedding model with no display_name change.\"\"\"\n    svc = import_svc()\n\n    existing_models = [\n        {\"model_id\": 1, \"model_type\": \"llm\", \"display_name\": \"name\"},\n    ]\n    model_data = {\n        \"model_id\": 1,\n        \"display_name\": \"name\",\n        \"description\": \"updated\",\n        \"model_type\": \"llm\",\n    }\n\n    with mock.patch.object(svc, \"get_models_by_display_name\", return_value=existing_models) as mock_get, \\\n            mock.patch.object(svc, \"update_model_record\") as mock_update:\n        await svc.update_single_model_for_tenant(\"u1\", \"t1\", \"name\", model_data)\n\n        mock_get.assert_called_once_with(\"name\", \"t1\")\n        # update_model_record should be called without model_id in the payload\n        mock_update.assert_called_once_with(\n            1,\n            {\"display_name\": \"name\", \"description\": \"updated\", \"model_type\": \"llm\"},\n            \"u1\",\n        )\n\n\nasync def test_update_single_model_for_tenant_conflict_new_display_name():\n    \"\"\"Updating to a new conflicting display_name raises ValueError.\"\"\"\n    svc = import_svc()\n\n    existing_models = [\n        {\"model_id\": 1, \"model_type\": \"llm\", \"display_name\": \"old_name\"},\n    ]\n    conflict_models = [\n        {\"model_id\": 2, \"model_type\": \"llm\", \"display_name\": \"new_name\"},\n    ]\n    model_data = {\n        \"model_id\": 1,\n        \"display_name\": \"new_name\",\n    }\n\n    with mock.patch.object(svc, \"get_models_by_display_name\", side_effect=[existing_models, conflict_models]):\n        with pytest.raises(ValueError) as exc:\n            await svc.update_single_model_for_tenant(\"u1\", \"t1\", \"old_name\", model_data)\n        assert \"already in use\" in str(exc.value)\n\n\nasync def test_update_single_model_for_tenant_not_found_raises_lookup_error():\n    \"\"\"If no model is found for current_display_name, raise LookupError.\"\"\"\n    svc = import_svc()\n\n    with mock.patch.object(svc, \"get_models_by_display_name\", return_value=[]):\n        with pytest.raises(LookupError):\n            await svc.update_single_model_for_tenant(\"u1\", \"t1\", \"missing\", {\"display_name\": \"x\"})\n\n\nasync def test_update_single_model_for_tenant_multi_embedding_updates_both():\n    \"\"\"Updating multi_embedding models updates both embedding and multi_embedding records.\"\"\"\n    svc = import_svc()\n\n    existing_models = [\n        {\"model_id\": 10, \"model_type\": \"embedding\", \"display_name\": \"emb_name\"},\n        {\"model_id\": 11, \"model_type\": \"multi_embedding\", \"display_name\": \"emb_name\"},\n    ]\n    model_data = {\n        \"model_id\": 10,\n        \"display_name\": \"emb_name\",\n        \"description\": \"updated\",\n        \"model_type\": \"multi_embedding\",\n    }\n\n    with mock.patch.object(svc, \"get_models_by_display_name\", return_value=existing_models) as mock_get, \\\n            mock.patch.object(svc, \"update_model_record\") as mock_update:\n        await svc.update_single_model_for_tenant(\"u1\", \"t1\", \"emb_name\", model_data)\n\n        mock_get.assert_called_once_with(\"emb_name\", \"t1\")\n        # model_type should be stripped from update payload for multi_embedding flow\n        expected_update = {\"display_name\": \"emb_name\",\n                           \"description\": \"updated\"}\n        mock_update.assert_any_call(10, expected_update, \"u1\")\n        mock_update.assert_any_call(11, expected_update, \"u1\")\n\n\nasync def test_batch_update_models_for_tenant_success():\n    svc = import_svc()\n\n    models = [{\"model_id\": \"a\"}, {\"model_id\": \"b\"}]\n    with mock.patch.object(svc, \"update_model_record\") as mock_update:\n        await svc.batch_update_models_for_tenant(\"u1\", \"t1\", models)\n        assert mock_update.call_count == 2\n        mock_update.assert_any_call(\"a\", models[0], \"u1\", \"t1\")\n        mock_update.assert_any_call(\"b\", models[1], \"u1\", \"t1\")\n\n\nasync def test_batch_update_models_for_tenant_exception():\n    svc = import_svc()\n\n    models = [{\"model_id\": \"a\"}]\n    with mock.patch.object(svc, \"update_model_record\", side_effect=Exception(\"oops\")):\n        with pytest.raises(Exception) as exc:\n            await svc.batch_update_models_for_tenant(\"u1\", \"t1\", models)\n        assert \"Failed to batch update models\" in str(exc.value)\n\n\nasync def test_delete_model_for_tenant_not_found_raises_lookup_error():\n    \"\"\"If no models are found for display_name, raise LookupError.\"\"\"\n    svc = import_svc()\n\n    with mock.patch.object(svc, \"get_models_by_display_name\", return_value=[]):\n        with pytest.raises(LookupError):\n            await svc.delete_model_for_tenant(\"u1\", \"t1\", \"missing\")\n\n\nasync def test_delete_model_for_tenant_embedding_deletes_both():\n    \"\"\"Embedding + multi_embedding models are both deleted and memories cleared.\"\"\"\n    svc = import_svc()\n\n    models = [\n        {\n            \"model_id\": \"id-emb\",\n            \"model_type\": \"embedding\",\n            \"model_repo\": \"openai\",\n            \"model_name\": \"text-embedding-3-small\",\n            \"max_tokens\": 1536,\n        },\n        {\n            \"model_id\": \"id-multi\",\n            \"model_type\": \"multi_embedding\",\n            \"model_repo\": \"openai\",\n            \"model_name\": \"text-embedding-3-small\",\n            \"max_tokens\": 1536,\n        },\n    ]\n\n    with mock.patch.object(svc, \"get_models_by_display_name\", return_value=models) as mock_get, \\\n            mock.patch.object(svc, \"delete_model_record\") as mock_delete, \\\n            mock.patch.object(svc, \"get_vector_db_core\", return_value=object()) as mock_get_vdb, \\\n            mock.patch.object(svc, \"build_memory_config_for_tenant\", return_value={}) as mock_build_cfg, \\\n            mock.patch.object(svc, \"clear_model_memories\", new=mock.AsyncMock()) as mock_clear:\n        await svc.delete_model_for_tenant(\"u1\", \"t1\", \"name\")\n\n        mock_get.assert_called_once_with(\"name\", \"t1\")\n        assert mock_delete.call_count == 2\n        mock_get_vdb.assert_called_once()\n        mock_build_cfg.assert_called_once_with(\"t1\")\n        # Best-effort cleanup should be attempted for both records\n        assert mock_clear.await_count == 2\n\n\n@pytest.mark.asyncio\nasync def test_delete_model_for_tenant_cleanup_inner_exception(caplog):\n    svc = import_svc()\n\n    models = [\n        {\"model_id\": \"id-emb\", \"model_type\": \"embedding\",\n            \"model_repo\": \"r\", \"model_name\": \"n\", \"max_tokens\": 1},\n        {\"model_id\": \"id-multi\", \"model_type\": \"multi_embedding\",\n            \"model_repo\": \"r\", \"model_name\": \"n\", \"max_tokens\": 1},\n    ]\n    with mock.patch.object(svc, \"get_models_by_display_name\", return_value=models), \\\n            mock.patch.object(svc, \"delete_model_record\") as mock_delete, \\\n            mock.patch.object(svc, \"get_vector_db_core\", return_value=object()), \\\n            mock.patch.object(svc, \"build_memory_config_for_tenant\", return_value={}), \\\n            mock.patch.object(svc, \"clear_model_memories\", new=mock.AsyncMock(side_effect=Exception(\"boom\"))):\n\n        with caplog.at_level(logging.WARNING):\n            await svc.delete_model_for_tenant(\"u1\", \"t1\", \"name\")\n\n        assert mock_delete.call_count == 2\n        assert any(\n            \"Best-effort clear_model_memories failed\" in rec.message for rec in caplog.records)\n\n\n@pytest.mark.asyncio\nasync def test_delete_model_for_tenant_cleanup_outer_exception(caplog):\n    svc = import_svc()\n\n    models = [\n        {\"model_id\": \"id-emb\", \"model_type\": \"embedding\"},\n        {\"model_id\": \"id-multi\", \"model_type\": \"multi_embedding\"},\n    ]\n    with mock.patch.object(svc, \"get_models_by_display_name\", return_value=models), \\\n            mock.patch.object(svc, \"delete_model_record\") as mock_delete, \\\n            mock.patch.object(svc, \"get_vector_db_core\", side_effect=Exception(\"vdb_down\")), \\\n            mock.patch.object(svc, \"build_memory_config_for_tenant\", return_value={}):\n\n        with caplog.at_level(logging.WARNING):\n            await svc.delete_model_for_tenant(\"u1\", \"t1\", \"name\")\n\n        assert mock_delete.call_count == 2\n        assert any(\n            \"Memory cleanup preparation failed\" in rec.message for rec in caplog.records)\n\n\nasync def test_delete_model_for_tenant_non_embedding():\n    \"\"\"Non-embedding model deletes a single record without memory cleanup.\"\"\"\n    svc = import_svc()\n\n    models = [\n        {\"model_id\": \"id\", \"model_type\": \"llm\"},\n    ]\n    with mock.patch.object(svc, \"get_models_by_display_name\", return_value=models), \\\n            mock.patch.object(svc, \"delete_model_record\") as mock_delete, \\\n            mock.patch.object(svc, \"get_vector_db_core\") as mock_get_vdb:\n        await svc.delete_model_for_tenant(\"u1\", \"t1\", \"name\")\n        mock_delete.assert_called_once_with(\"id\", \"u1\", \"t1\")\n        # For non-embedding models we should not prepare vector DB cleanup\n        mock_get_vdb.assert_not_called()\n\n\nasync def test_list_models_for_tenant_success():\n    svc = import_svc()\n\n    records = [\n        {\"model_repo\": \"huggingface\", \"model_name\": \"llama\",\n            \"connect_status\": \"operational\"},\n        {\"model_repo\": \"openai\", \"model_name\": \"clip\", \"connect_status\": None},\n    ]\n    with mock.patch.object(svc, \"get_model_records\", return_value=records), \\\n            mock.patch.object(svc, \"add_repo_to_name\", side_effect=lambda model_repo, model_name: f\"{model_repo}/{model_name}\" if model_repo else model_name), \\\n            mock.patch.object(svc.ModelConnectStatusEnum, \"get_value\", side_effect=lambda s: s or \"not_detected\"):\n        out = await svc.list_models_for_tenant(\"t1\")\n        assert out[0][\"model_name\"] == \"huggingface/llama\"\n        assert out[1][\"model_name\"] == \"openai/clip\"\n        assert out[1][\"connect_status\"] == \"not_detected\"\n\n\nasync def test_list_models_for_tenant_exception():\n    svc = import_svc()\n\n    with mock.patch.object(svc, \"get_model_records\", side_effect=Exception(\"db\")):\n        with pytest.raises(Exception) as exc:\n            await svc.list_models_for_tenant(\"t1\")\n        assert \"Failed to retrieve model list\" in str(exc.value)\n\n\nasync def test_list_llm_models_for_tenant_success():\n    \"\"\"Test list_llm_models_for_tenant returns filtered LLM models.\"\"\"\n    svc = import_svc()\n\n    records = [\n        {\n            \"model_id\": \"llm1\",\n            \"model_repo\": \"huggingface\",\n            \"model_name\": \"llama-2\",\n            \"display_name\": \"LLaMA 2\",\n            \"connect_status\": \"operational\"\n        },\n        {\n            \"model_id\": \"llm2\",\n            \"model_repo\": \"openai\",\n            \"model_name\": \"gpt-4\",\n            \"display_name\": \"GPT-4\",\n            \"connect_status\": \"not_detected\"\n        }\n    ]\n\n    with mock.patch.object(svc, \"get_model_records\", return_value=records) as mock_get_records, \\\n            mock.patch.object(svc, \"add_repo_to_name\", side_effect=lambda model_repo, model_name: f\"{model_repo}/{model_name}\" if model_repo else model_name), \\\n            mock.patch.object(svc.ModelConnectStatusEnum, \"get_value\", side_effect=lambda s: s or \"not_detected\"):\n\n        result = await svc.list_llm_models_for_tenant(\"t1\")\n\n        # Should only return LLM models, filtered by model_type=\"llm\"\n        assert len(result) == 2\n        assert result[0][\"model_id\"] == \"llm1\"\n        assert result[0][\"model_name\"] == \"huggingface/llama-2\"\n        assert result[0][\"display_name\"] == \"LLaMA 2\"\n        assert result[0][\"connect_status\"] == \"operational\"\n\n        assert result[1][\"model_id\"] == \"llm2\"\n        assert result[1][\"model_name\"] == \"openai/gpt-4\"\n        assert result[1][\"display_name\"] == \"GPT-4\"\n        assert result[1][\"connect_status\"] == \"not_detected\"\n\n        # Verify get_model_records was called with correct filter\n        mock_get_records.assert_called_once_with({\"model_type\": \"llm\"}, \"t1\")\n\n\nasync def test_list_llm_models_for_tenant_exception():\n    \"\"\"Test list_llm_models_for_tenant handles exceptions properly.\"\"\"\n    svc = import_svc()\n\n    with mock.patch.object(svc, \"get_model_records\", side_effect=Exception(\"Database error\")):\n        with pytest.raises(Exception) as exc:\n            await svc.list_llm_models_for_tenant(\"t1\")\n        assert \"Failed to retrieve model list\" in str(exc.value)\n\n\nasync def test_list_llm_models_for_tenant_normalizes_connect_status():\n    \"\"\"Test list_llm_models_for_tenant normalizes connect_status values.\"\"\"\n    svc = import_svc()\n\n    records = [\n        {\n            \"model_id\": \"llm1\",\n            \"model_repo\": \"huggingface\",\n            \"model_name\": \"llama-2\",\n            \"display_name\": \"LLaMA 2\",\n            \"connect_status\": None  # Should be normalized to \"not_detected\"\n        },\n        {\n            \"model_id\": \"llm2\",\n            \"model_repo\": \"openai\",\n            \"model_name\": \"gpt-4\",\n            \"display_name\": \"GPT-4\",\n            \"connect_status\": \"operational\"\n        }\n    ]\n\n    with mock.patch.object(svc, \"get_model_records\", return_value=records), \\\n            mock.patch.object(svc, \"add_repo_to_name\", side_effect=lambda model_repo, model_name: f\"{model_repo}/{model_name}\" if model_repo else model_name), \\\n            mock.patch.object(svc.ModelConnectStatusEnum, \"get_value\", side_effect=lambda s: s or \"not_detected\"):\n\n        result = await svc.list_llm_models_for_tenant(\"t1\")\n\n        assert len(result) == 2\n        # Normalized from None\n        assert result[0][\"connect_status\"] == \"not_detected\"\n        assert result[1][\"connect_status\"] == \"operational\"\n\n\nasync def test_list_models_for_tenant_type_mapping():\n    \"\"\"Test list_models_for_tenant maps model_type from 'chat' to 'llm' (covers line 310)\"\"\"\n    svc = import_svc()\n\n    records = [\n        {\n            \"model_id\": \"llm1\",\n            \"model_repo\": \"openai\",\n            \"model_name\": \"gpt-4\",\n            \"display_name\": \"GPT-4\",\n            \"model_type\": \"chat\",  # ModelEngine type that should be mapped to \"llm\"\n            \"connect_status\": \"operational\"\n        },\n        {\n            \"model_id\": \"llm2\",\n            \"model_repo\": \"anthropic\",\n            \"model_name\": \"claude-3\",\n            \"display_name\": \"Claude 3\",\n            \"model_type\": \"llm\",  # Already correct type\n            \"connect_status\": \"not_detected\"\n        }\n    ]\n\n    with mock.patch.object(svc, \"get_model_records\", return_value=records), \\\n            mock.patch.object(svc, \"add_repo_to_name\", side_effect=lambda model_repo, model_name: f\"{model_repo}/{model_name}\" if model_repo else model_name), \\\n            mock.patch.object(svc.ModelConnectStatusEnum, \"get_value\", side_effect=lambda s: s or \"not_detected\"):\n\n        result = await svc.list_models_for_tenant(\"t1\")\n\n        assert len(result) == 2\n        # First model should have model_type mapped from \"chat\" to \"llm\" (covers line 310)\n        assert result[0][\"model_type\"] == \"llm\"  # Should be mapped from \"chat\"\n        assert result[0][\"model_id\"] == \"llm1\"\n        # Second model should remain \"llm\"\n        assert result[1][\"model_type\"] == \"llm\"\n        assert result[1][\"model_id\"] == \"llm2\"\n\n\nasync def test_list_llm_models_for_tenant_handles_missing_repo():\n    \"\"\"Test list_llm_models_for_tenant handles models without repo.\"\"\"\n    svc = import_svc()\n\n    records = [\n        {\n            \"model_id\": \"llm1\",\n            \"model_repo\": \"\",  # Empty repo\n            \"model_name\": \"local-model\",\n            \"display_name\": \"Local Model\",\n            \"connect_status\": \"operational\"\n        },\n        {\n            \"model_id\": \"llm2\",\n            \"model_repo\": None,  # None repo\n            \"model_name\": \"another-model\",\n            \"display_name\": \"Another Model\",\n            \"connect_status\": \"operational\"\n        }\n    ]\n\n    with mock.patch.object(svc, \"get_model_records\", return_value=records), \\\n            mock.patch.object(svc, \"add_repo_to_name\", side_effect=lambda model_repo, model_name: f\"{model_repo}/{model_name}\" if model_repo else model_name), \\\n            mock.patch.object(svc.ModelConnectStatusEnum, \"get_value\", side_effect=lambda s: s or \"not_detected\"):\n\n        result = await svc.list_llm_models_for_tenant(\"t1\")\n\n        assert len(result) == 2\n        assert result[0][\"model_name\"] == \"local-model\"  # No repo prefix\n        assert result[1][\"model_name\"] == \"another-model\"  # No repo prefix\n\n\n# Tests for list_models_for_admin\nasync def test_list_models_for_admin_success():\n    \"\"\"Test list_models_for_tenant returns models for a specified tenant.\"\"\"\n    svc = import_svc()\n\n    records = [\n        {\"model_repo\": \"huggingface\", \"model_name\": \"llama\",\n            \"connect_status\": \"operational\", \"model_type\": \"llm\"},\n        {\"model_repo\": \"openai\", \"model_name\": \"clip\", \"connect_status\": None, \"model_type\": \"embedding\"},\n    ]\n\n    with mock.patch.object(svc, \"get_model_records\", return_value=records), \\\n            mock.patch.object(svc, \"add_repo_to_name\", side_effect=lambda model_repo, model_name: f\"{model_repo}/{model_name}\" if model_repo else model_name), \\\n            mock.patch.object(svc.ModelConnectStatusEnum, \"get_value\", side_effect=lambda s: s or \"not_detected\"):\n        out = await svc.list_models_for_admin(\"t1\")\n        assert out[\"tenant_id\"] == \"t1\"\n        assert out[\"tenant_name\"] == \"Test Tenant\"\n        assert out[\"total\"] == 2\n        assert out[\"page\"] == 1\n        assert out[\"page_size\"] == 20\n        assert out[\"total_pages\"] == 1\n        assert len(out[\"models\"]) == 2\n        assert out[\"models\"][0][\"model_name\"] == \"huggingface/llama\"\n\n\nasync def test_list_models_for_admin_with_pagination():\n    \"\"\"Test list_models_for_tenant handles pagination correctly.\"\"\"\n    svc = import_svc()\n\n    # Create 25 records to test pagination\n    records = [\n        {\"model_repo\": \"openai\", \"model_name\": f\"gpt-{i}\", \"connect_status\": \"operational\", \"model_type\": \"llm\"}\n        for i in range(25)\n    ]\n\n    with mock.patch.object(svc, \"get_model_records\", return_value=records), \\\n            mock.patch(\"backend.utils.model_name_utils.add_repo_to_name\", side_effect=_add_repo_to_name), \\\n            mock.patch.object(svc.ModelConnectStatusEnum, \"get_value\", side_effect=lambda s: s or \"not_detected\"):\n        # Page 1, page_size 10\n        out = await svc.list_models_for_admin(\"t1\", page=1, page_size=10)\n        assert out[\"page\"] == 1\n        assert out[\"page_size\"] == 10\n        assert out[\"total\"] == 25\n        assert out[\"total_pages\"] == 3\n        assert len(out[\"models\"]) == 10\n        assert out[\"models\"][0][\"model_name\"] == \"openai/gpt-0\"\n\n        # Page 2\n        out = await svc.list_models_for_admin(\"t1\", page=2, page_size=10)\n        assert out[\"page\"] == 2\n        assert len(out[\"models\"]) == 10\n\n        # Page 3 (last page)\n        out = await svc.list_models_for_admin(\"t1\", page=3, page_size=10)\n        assert out[\"page\"] == 3\n        assert out[\"total_pages\"] == 3\n        assert len(out[\"models\"]) == 5\n\n\nasync def test_list_models_for_admin_with_model_type_filter():\n    \"\"\"Test list_models_for_tenant filters by model_type.\"\"\"\n    svc = import_svc()\n\n    records = [\n        {\"model_repo\": \"openai\", \"model_name\": \"gpt-4\", \"connect_status\": \"operational\", \"model_type\": \"llm\"},\n        {\"model_repo\": \"openai\", \"model_name\": \"text-embedding\", \"connect_status\": \"operational\", \"model_type\": \"embedding\"},\n    ]\n\n    with mock.patch.object(svc, \"get_model_records\", return_value=records) as mock_get_records, \\\n            mock.patch(\"backend.utils.model_name_utils.add_repo_to_name\", side_effect=lambda model_repo, model_name: f\"{model_repo}/{model_name}\" if model_repo else model_name), \\\n            mock.patch.object(svc.ModelConnectStatusEnum, \"get_value\", side_effect=lambda s: s or \"not_detected\"):\n        # Filter by llm\n        out = await svc.list_models_for_admin(\"t1\", model_type=\"llm\")\n        mock_get_records.assert_called_once_with({\"model_type\": \"llm\"}, \"t1\")\n        assert out[\"total\"] == 2\n        assert out[\"models\"][0][\"model_type\"] == \"llm\"\n\n\nasync def test_list_models_for_admin_empty_tenant():\n    \"\"\"Test list_models_for_tenant handles empty tenant gracefully.\"\"\"\n    svc = import_svc()\n\n    with mock.patch.object(svc, \"get_model_records\", return_value=[]):\n        # Use \"empty_tenant\" ID to trigger exception in stub, resulting in empty tenant_name\n        out = await svc.list_models_for_admin(\"empty_tenant\")\n        assert out[\"tenant_id\"] == \"empty_tenant\"\n        assert out[\"tenant_name\"] == \"\"\n        assert out[\"total\"] == 0\n        assert out[\"total_pages\"] == 0\n        assert len(out[\"models\"]) == 0\n\n\nasync def test_list_models_for_admin_exception():\n    \"\"\"Test list_models_for_tenant handles exceptions.\"\"\"\n    svc = import_svc()\n\n    with mock.patch.object(svc, \"get_model_records\", side_effect=Exception(\"db error\")):\n        with pytest.raises(Exception) as exc:\n            await svc.list_models_for_admin(\"t1\")\n        assert \"Failed to retrieve admin model list\" in str(exc.value)\n\n\nasync def test_list_models_for_admin_type_mapping():\n    \"\"\"Test list_models_for_tenant maps model_type from 'chat' to 'llm'.\"\"\"\n    svc = import_svc()\n\n    records = [\n        {\n            \"model_id\": \"llm1\",\n            \"model_repo\": \"openai\",\n            \"model_name\": \"gpt-4\",\n            \"display_name\": \"GPT-4\",\n            \"model_type\": \"chat\",  # Should be mapped to \"llm\"\n            \"connect_status\": \"operational\"\n        },\n    ]\n\n    with mock.patch.object(svc, \"get_model_records\", return_value=records), \\\n            mock.patch.object(svc, \"add_repo_to_name\", side_effect=lambda model_repo, model_name: f\"{model_repo}/{model_name}\" if model_repo else model_name), \\\n            mock.patch.object(svc.ModelConnectStatusEnum, \"get_value\", side_effect=lambda s: s or \"not_detected\"):\n        out = await svc.list_models_for_admin(\"t1\")\n\n        assert len(out[\"models\"]) == 1\n        assert out[\"models\"][0][\"model_type\"] == \"llm\"  # Should be mapped from \"chat\"\n"
  },
  {
    "path": "test/backend/services/test_model_provider_service.py",
    "content": "\"\"\"\nUnit tests for model_provider_service.py and related providers.\n\nThis test module thoroughly tests:\n- SiliconModelProvider: LLM and embedding model fetching\n- ModelEngineProvider: Multi-type model fetching with filtering\n- prepare_model_dict: Model configuration dictionary preparation\n- merge_existing_model_tokens: Token merging from existing models\n- get_provider_models: Provider-agnostic model fetching\n- get_model_engine_raw_url: URL parsing for ModelEngine endpoints\n\nCoverage: 100% for model_provider_service.py and related provider modules.\n\"\"\"\nimport sys\nfrom unittest import mock\nimport pytest\n\n# ============================================================================\n# CRITICAL: Set up mocks BEFORE any imports to prevent side effects\n# This must be done before importing backend.services.model_provider_service\n# to avoid triggering MinioClient initialization during test collection.\n# The mock for database.client MUST be set up BEFORE any import that might\n# trigger the import chain leading to database.client.MiniClient() being called.\n# ============================================================================\n\n# First, mock the SDK modules that have side effects at import time\n# NOTE: Use 'nexent' instead of 'sdk.nexent' because backend imports from the installed 'nexent' package\nsdk_modules_to_mock = [\n    \"sdk\",\n    \"nexent\",\n    \"nexent.storage\",\n    \"nexent.storage.storage_client_factory\",\n    \"nexent.storage.minio\",\n]\nfor module_path in sdk_modules_to_mock:\n    sys.modules.setdefault(module_path, mock.MagicMock())\n\n# Create a mock MinioStorageClient class that returns itself when instantiated\n# This is CRITICAL to prevent _ensure_bucket_exists from being called\n# during import of database.client.MiniClient\n\n\nclass MockMinioStorageClient(mock.MagicMock):\n    \"\"\"Mock MinioStorageClient that prevents __init__ side effects.\"\"\"\n\n    def __init__(self, *args, **kwargs):\n        # Skip the real __init__ that connects to MinIO\n        pass\n\n    @property\n    def default_bucket(self):\n        return \"test-bucket\"\n\n    def _ensure_bucket_exists(self, bucket):\n        # Prevent any connection attempts during import\n        pass\n\n\n# Set the mock class in the module BEFORE any imports that might trigger\n# database.client.MiniClient() instantiation\nsys.modules[\"nexent.storage.minio\"].MinioStorageClient = MockMinioStorageClient\n\n# Also mock the storage client factory function BEFORE import\n\n\ndef mock_create_storage_client_from_config(*args, **kwargs):\n    return MockMinioStorageClient()\n\n\nsys.modules[\"nexent.storage.storage_client_factory\"].create_storage_client_from_config = (\n    mock_create_storage_client_from_config\n)\n\n# ============================================================================\n# CRITICAL: Mock database.client module BEFORE any import that might trigger it\n# The problem is that when database.client is imported, it immediately runs\n# `minio_client = MinioClient()` which tries to connect to MinIO.\n#\n# To fix this, we need to:\n# 1. Create a mock MinioClient class that returns itself when instantiated\n# 2. Replace MinioClient in the database.client module namespace\n# 3. Replace minio_client instance with a mock\n#\n# This must happen BEFORE database.client is imported by any module.\n# ============================================================================\n\n# Create mock MinioClient class that returns itself to prevent singleton instantiation\n\n\nclass MockMinioClientClass(mock.MagicMock):\n    \"\"\"Mock MinioClient class that returns itself to prevent real client instantiation.\"\"\"\n    def __new__(cls, *args, **kwargs):\n        # Return the mock instance itself, not a new instance of the class\n        # This prevents the real MinIO client from being created\n        mock_instance = mock.MagicMock()\n        mock_instance._storage_client = mock.MagicMock()\n        mock_instance.default_bucket = \"test-bucket\"\n        return mock_instance\n\n    def __init__(self):\n        # Skip the real __init__ that connects to MinIO\n        pass\n\n\n# Create mock instance that will be used as minio_client\nmock_minio_client_instance = MockMinioClientClass()\n\n# Pre-create the database.client mock module and set it in sys.modules\n# BEFORE any import can trigger the real database.client import\nmock_database_client_module = mock.MagicMock()\nmock_database_client_module.MinioClient = MockMinioClientClass\nmock_database_client_module.minio_client = mock_minio_client_instance\nmock_database_client_module.as_dict = mock.MagicMock()\nmock_database_client_module.db_client = mock.MagicMock()\nmock_database_client_module.get_db_session = mock.MagicMock()\nsys.modules[\"database.client\"] = mock_database_client_module\n\n# Also mock the database package and model_management_db module\nmock_database_module = mock.MagicMock()\nmock_database_module.client = mock_database_client_module\nmock_database_module.model_management_db = mock.MagicMock()\nsys.modules[\"database\"] = mock_database_module\n\nsys.modules[\"database.model_management_db\"] = mock.MagicMock()\nsys.modules[\"database.model_management_db\"].get_models_by_tenant_factory_type = mock.MagicMock()\n\n# Mock other project dependencies (ONLY the modules that need mocking for import safety)\n# NOTE: Do NOT mock services module or its submodules - they are tested directly\nfor module_path in [\n    \"consts\",\n    \"consts.provider\",\n    \"consts.model\",\n    \"consts.const\",\n    \"consts.exceptions\",\n    \"utils\",\n    \"utils.model_name_utils\",\n    \"services.model_health_service\",\n]:\n    sys.modules.setdefault(module_path, mock.MagicMock())\n\n# services.providers.base should NOT be mocked as it contains _classify_provider_error used in tests\n\n# SiliconModelProvider and ModelEngineProvider will be imported from their real modules\n# in the tests that need them\n\n# Provide concrete attributes required by the module under test\nsys.modules[\"consts.provider\"].SILICON_GET_URL = \"https://silicon.com\"\n\n# Mock constants for token and chunk sizes\nsys.modules[\"consts.const\"].DEFAULT_LLM_MAX_TOKENS = 4096\nsys.modules[\"consts.const\"].DEFAULT_EXPECTED_CHUNK_SIZE = 1024\nsys.modules[\"consts.const\"].DEFAULT_MAXIMUM_CHUNK_SIZE = 1536\n\n# Mock ProviderEnum for get_provider_models tests\n\n\nclass _ProviderEnumStub:\n    SILICON = mock.Mock(value=\"silicon\")\n    MODELENGINE = mock.Mock(value=\"modelengine\")\n    DASHSCOPE = mock.Mock(value=\"dashscope\")\n    TOKENPONY = mock.Mock(value=\"tokenpony\")\n\n\nsys.modules[\"consts.provider\"].ProviderEnum = _ProviderEnumStub\n\n# Minimal ModelConnectStatusEnum stub so that prepare_model_dict can access\n# `ModelConnectStatusEnum.NOT_DETECTED.value` without importing the real enum.\n\n\nclass _EnumStub:\n    NOT_DETECTED = mock.Mock(value=\"not_detected\")\n    DETECTING = mock.Mock(value=\"detecting\")\n    CONNECTED = mock.Mock(value=\"connected\")\n    FAILED = mock.Mock(value=\"failed\")\n\n\nsys.modules[\"consts.model\"].ModelConnectStatusEnum = _EnumStub\n\n# Mock exception classes\n\n\nclass _TimeoutExceptionStub(Exception):\n    \"\"\"Mock TimeoutException for testing.\"\"\"\n    pass\n\n\nsys.modules[\"consts.exceptions\"].TimeoutException = _TimeoutExceptionStub\n\n# ============================================================================\n# NOW import the module under test (after all mocks are set up)\n# CRITICAL: This import MUST come after all sys.modules mocks are set up\n# to prevent the import chain from triggering MinioClient initialization.\n# ============================================================================\n\nfrom backend.services.model_provider_service import (\n    SiliconModelProvider,\n    prepare_model_dict,\n    merge_existing_model_tokens,\n    get_provider_models,\n)\n\n\n# ============================================================================\n# Test-cases for SiliconModelProvider.get_models\n# ============================================================================\n\n\n@pytest.mark.asyncio\nasync def test_get_models_llm_success():\n    \"\"\"Silicon provider should append chat tag/type for LLM models.\"\"\"\n    provider_config = {\"model_type\": \"llm\", \"api_key\": \"test-key\"}\n\n    # Patch HTTP client & constant inside the provider module\n    with mock.patch(\n        \"backend.services.providers.silicon_provider.httpx.AsyncClient\"\n    ) as mock_client, mock.patch(\n        \"backend.services.providers.silicon_provider.SILICON_GET_URL\",\n        \"https://silicon.com\",\n    ):\n\n        # Prepare mocked http client / response behaviour\n        mock_client_instance = mock.AsyncMock()\n        mock_client.return_value.__aenter__.return_value = mock_client_instance\n\n        # Create a proper mock for httpx.Response with correct json() behavior\n        mock_response = mock.Mock()\n        mock_response.status_code = 200\n        mock_response._json_data = {\"data\": [{\"id\": \"gpt-4\"}]}\n        mock_response.json = mock.Mock(side_effect=lambda: mock_response._json_data)\n        mock_response.raise_for_status = mock.Mock()\n        mock_client_instance.get.return_value = mock_response\n\n        # Execute\n        result = await SiliconModelProvider().get_models(provider_config)\n\n        # Assert returned value & correct HTTP call\n        assert result == [\n            {\n                \"id\": \"gpt-4\",\n                \"model_tag\": \"chat\",\n                \"model_type\": \"llm\",\n                \"max_tokens\": sys.modules[\"consts.const\"].DEFAULT_LLM_MAX_TOKENS,\n            }\n        ]\n        mock_client_instance.get.assert_called_once_with(\n            \"https://silicon.com?sub_type=chat\",\n            headers={\"Authorization\": \"Bearer test-key\"},\n        )\n\n\n@pytest.mark.asyncio\nasync def test_get_models_embedding_success():\n    \"\"\"Silicon provider should append embedding tag/type for embedding models.\"\"\"\n    provider_config = {\"model_type\": \"embedding\", \"api_key\": \"test-key\"}\n\n    with mock.patch(\n        \"backend.services.providers.silicon_provider.httpx.AsyncClient\"\n    ) as mock_client, mock.patch(\n        \"backend.services.providers.silicon_provider.SILICON_GET_URL\",\n        \"https://silicon.com\",\n    ):\n\n        mock_client_instance = mock.AsyncMock()\n        mock_client.return_value.__aenter__.return_value = mock_client_instance\n\n        mock_response = mock.Mock()\n        mock_response.status_code = 200\n        mock_response._json_data = {\n            \"data\": [{\"id\": \"text-embedding-ada-002\"}]\n        }\n        mock_response.json = mock.Mock(side_effect=lambda: mock_response._json_data)\n        mock_response.raise_for_status = mock.Mock()\n        mock_client_instance.get.return_value = mock_response\n\n        result = await SiliconModelProvider().get_models(provider_config)\n\n        assert result == [\n            {\n                \"id\": \"text-embedding-ada-002\",\n                \"model_tag\": \"embedding\",\n                \"model_type\": \"embedding\",\n            }\n        ]\n        mock_client_instance.get.assert_called_once_with(\n            \"https://silicon.com?sub_type=embedding\",\n            headers={\"Authorization\": \"Bearer test-key\"},\n        )\n\n\n@pytest.mark.asyncio\nasync def test_get_models_unknown_type():\n    \"\"\"Unknown model types should not have extra annotations and should hit the base URL.\"\"\"\n    provider_config = {\"model_type\": \"other\", \"api_key\": \"test-key\"}\n\n    with mock.patch(\n        \"backend.services.providers.silicon_provider.httpx.AsyncClient\"\n    ) as mock_client, mock.patch(\n        \"backend.services.providers.silicon_provider.SILICON_GET_URL\",\n        \"https://silicon.com\",\n    ):\n\n        mock_client_instance = mock.AsyncMock()\n        mock_client.return_value.__aenter__.return_value = mock_client_instance\n\n        mock_response = mock.Mock()\n        mock_response.status_code = 200\n        mock_response._json_data = {\"data\": [{\"id\": \"model-x\"}]}\n        mock_response.json = mock.Mock(side_effect=lambda: mock_response._json_data)\n        mock_response.raise_for_status = mock.Mock()\n        mock_client_instance.get.return_value = mock_response\n\n        result = await SiliconModelProvider().get_models(provider_config)\n\n        # No additional keys should be injected for unknown type\n        assert result == [{\"id\": \"model-x\"}]\n        mock_client_instance.get.assert_called_once_with(\n            \"https://silicon.com\",\n            headers={\"Authorization\": \"Bearer test-key\"},\n        )\n\n\n@pytest.mark.asyncio\nasync def test_get_models_exception():\n    \"\"\"HTTP errors should be caught and an error response returned.\"\"\"\n    provider_config = {\"model_type\": \"llm\", \"api_key\": \"test-key\"}\n\n    with mock.patch(\n        \"backend.services.providers.silicon_provider.httpx.AsyncClient\"\n    ) as mock_client, mock.patch(\n        \"backend.services.providers.silicon_provider.SILICON_GET_URL\",\n        \"https://silicon.com\",\n    ):\n\n        mock_client_instance = mock.AsyncMock()\n        mock_client.return_value.__aenter__.return_value = mock_client_instance\n\n        # Simulate request failure\n        mock_client_instance.get.side_effect = Exception(\"Request failed\")\n\n        result = await SiliconModelProvider().get_models(provider_config)\n\n        # Should return error response for exception\n        assert len(result) == 1\n        assert result[0][\"_error\"] == \"connection_failed\"\n\n\n# ============================================================================\n# Test-cases for prepare_model_dict\n# ============================================================================\n\n\n@pytest.mark.asyncio\nasync def test_prepare_model_dict_llm():\n    \"\"\"LLM models should not call emb dim check; chunk sizes are None; base_url untouched.\"\"\"\n    with mock.patch(\n        \"backend.services.model_provider_service.split_repo_name\",\n        return_value=(\"openai\", \"gpt-4\"),\n    ) as mock_split_repo, mock.patch(\n        \"backend.services.model_provider_service.add_repo_to_name\",\n        return_value=\"openai/gpt-4\",\n    ) as mock_add_repo_to_name, mock.patch(\n        \"backend.services.model_provider_service.ModelRequest\"\n    ) as mock_model_request, mock.patch(\n        \"backend.services.model_provider_service.embedding_dimension_check\",\n        new_callable=mock.AsyncMock,\n    ) as mock_emb_dim_check:\n\n        mock_model_req_instance = mock.MagicMock()\n        dump_dict = {\n            \"model_factory\": \"openai\",\n            \"model_name\": \"gpt-4\",\n            \"model_type\": \"llm\",\n            \"api_key\": \"test-key\",\n            \"max_tokens\": sys.modules[\"consts.const\"].DEFAULT_LLM_MAX_TOKENS,\n            \"display_name\": \"openai/gpt-4\",\n        }\n        mock_model_req_instance.model_dump.return_value = dump_dict\n        mock_model_request.return_value = mock_model_req_instance\n\n        provider = \"openai\"\n        model = {\n            \"id\": \"openai/gpt-4\",\n            \"model_type\": \"llm\",\n            \"max_tokens\": sys.modules[\"consts.const\"].DEFAULT_LLM_MAX_TOKENS,\n        }\n        base_url = \"https://api.openai.com/v1\"\n        api_key = \"test-key\"\n\n        result = await prepare_model_dict(provider, model, base_url, api_key)\n\n        mock_split_repo.assert_called_once_with(\"openai/gpt-4\")\n        mock_add_repo_to_name.assert_called_once_with(\"openai\", \"gpt-4\")\n\n        # Ensure chunk sizes are None for non-embedding types and emb check not called\n        _, kwargs = mock_model_request.call_args\n        assert kwargs[\"expected_chunk_size\"] is None\n        assert kwargs[\"maximum_chunk_size\"] is None\n        mock_emb_dim_check.assert_not_called()\n\n        expected = dump_dict | {\n            \"model_repo\": \"openai\",\n            \"base_url\": \"https://api.openai.com/v1\",\n            \"connect_status\": \"not_detected\",\n        }\n        assert result == expected\n\n\n@pytest.mark.asyncio\nasync def test_prepare_model_dict_vlm():\n    \"\"\"VLM models should behave like LLM: no emb dim check; chunk sizes None; base_url untouched.\"\"\"\n    with mock.patch(\n        \"backend.services.model_provider_service.split_repo_name\",\n        return_value=(\"openai\", \"gpt-4-vision\"),\n    ) as mock_split_repo, mock.patch(\n        \"backend.services.model_provider_service.add_repo_to_name\",\n        return_value=\"openai/gpt-4-vision\",\n    ) as mock_add_repo_to_name, mock.patch(\n        \"backend.services.model_provider_service.ModelRequest\"\n    ) as mock_model_request, mock.patch(\n        \"backend.services.model_provider_service.embedding_dimension_check\",\n        new_callable=mock.AsyncMock,\n    ) as mock_emb_dim_check:\n\n        mock_model_req_instance = mock.MagicMock()\n        dump_dict = {\n            \"model_factory\": \"openai\",\n            \"model_name\": \"gpt-4-vision\",\n            \"model_type\": \"vlm\",\n            \"api_key\": \"test-key\",\n            \"max_tokens\": sys.modules[\"consts.const\"].DEFAULT_LLM_MAX_TOKENS,\n            \"display_name\": \"openai/gpt-4-vision\",\n        }\n        mock_model_req_instance.model_dump.return_value = dump_dict\n        mock_model_request.return_value = mock_model_req_instance\n\n        provider = \"openai\"\n        model = {\n            \"id\": \"openai/gpt-4-vision\",\n            \"model_type\": \"vlm\",\n            \"max_tokens\": sys.modules[\"consts.const\"].DEFAULT_LLM_MAX_TOKENS,\n        }\n        base_url = \"https://api.openai.com/v1\"\n        api_key = \"test-key\"\n\n        result = await prepare_model_dict(provider, model, base_url, api_key)\n\n        mock_split_repo.assert_called_once_with(\"openai/gpt-4-vision\")\n        mock_add_repo_to_name.assert_called_once_with(\"openai\", \"gpt-4-vision\")\n\n        _, kwargs = mock_model_request.call_args\n        assert kwargs[\"expected_chunk_size\"] is None\n        assert kwargs[\"maximum_chunk_size\"] is None\n        mock_emb_dim_check.assert_not_called()\n\n        expected = dump_dict | {\n            \"model_repo\": \"openai\",\n            \"base_url\": \"https://api.openai.com/v1\",\n            \"connect_status\": \"not_detected\",\n        }\n        assert result == expected\n\n\n@pytest.mark.asyncio\nasync def test_prepare_model_dict_embedding():\n    \"\"\"Embedding models should call embedding_dimension_check and adjust base_url & max_tokens.\"\"\"\n    with mock.patch(\n        \"backend.services.model_provider_service.split_repo_name\",\n        return_value=(\"openai\", \"text-embedding-ada-002\"),\n    ) as mock_split_repo, mock.patch(\n        \"backend.services.model_provider_service.add_repo_to_name\",\n        return_value=\"openai/text-embedding-ada-002\",\n    ) as mock_add_repo_to_name, mock.patch(\n        \"backend.services.model_provider_service.ModelRequest\"\n    ) as mock_model_request, mock.patch(\n        \"backend.services.model_provider_service.embedding_dimension_check\",\n        new_callable=mock.AsyncMock,\n        return_value=1536,\n    ) as mock_emb_dim_check, mock.patch(\n        \"backend.services.model_provider_service.ModelConnectStatusEnum\"\n    ) as mock_enum:\n\n        mock_model_req_instance = mock.MagicMock()\n        dump_dict = {\n            \"model_factory\": \"openai\",\n            \"model_name\": \"text-embedding-ada-002\",\n            \"model_type\": \"embedding\",\n            \"api_key\": \"test-key\",\n            \"max_tokens\": 1024,\n            \"display_name\": \"openai/text-embedding-ada-002\",\n        }\n        mock_model_req_instance.model_dump.return_value = dump_dict\n        mock_model_request.return_value = mock_model_req_instance\n        mock_enum.NOT_DETECTED.value = \"not_detected\"\n\n        provider = \"openai\"\n        model = {\n            \"id\": \"openai/text-embedding-ada-002\",\n            \"model_type\": \"embedding\",\n            \"max_tokens\": 1024,\n        }\n        base_url = \"https://api.openai.com/v1/\"\n        api_key = \"test-key\"\n\n        result = await prepare_model_dict(provider, model, base_url, api_key)\n\n        mock_split_repo.assert_called_once_with(\n            \"openai/text-embedding-ada-002\")\n        mock_add_repo_to_name.assert_called_once_with(\n            \"openai\", \"text-embedding-ada-002\"\n        )\n        # Verify chunk size defaults passed into ModelRequest for embedding models\n        assert mock_model_request.call_count == 1\n        _, kwargs = mock_model_request.call_args\n        assert kwargs[\"model_factory\"] == \"openai\"\n        assert kwargs[\"model_name\"] == \"text-embedding-ada-002\"\n        assert kwargs[\"model_type\"] == \"embedding\"\n        assert kwargs[\"api_key\"] == \"test-key\"\n        # For embedding models, max_tokens is set to 0 as placeholder,\n        # will be updated by embedding_dimension_check later\n        assert kwargs[\"max_tokens\"] == 0\n        assert kwargs[\"display_name\"] == \"openai/text-embedding-ada-002\"\n        assert kwargs[\"expected_chunk_size\"] == sys.modules[\"consts.const\"].DEFAULT_EXPECTED_CHUNK_SIZE\n        assert kwargs[\"maximum_chunk_size\"] == sys.modules[\"consts.const\"].DEFAULT_MAXIMUM_CHUNK_SIZE\n        mock_emb_dim_check.assert_called_once_with(dump_dict)\n\n        expected = dump_dict | {\n            \"model_repo\": \"openai\",\n            \"base_url\": \"https://api.openai.com/v1/embeddings\",\n            \"connect_status\": \"not_detected\",\n            \"max_tokens\": 1536,\n        }\n        assert result == expected\n\n\n@pytest.mark.asyncio\nasync def test_prepare_model_dict_embedding_with_explicit_chunk_sizes():\n    \"\"\"Embedding models should pass through explicit chunk sizes from provider list.\"\"\"\n    with mock.patch(\n        \"backend.services.model_provider_service.split_repo_name\",\n        return_value=(\"openai\", \"text-embedding-3-small\"),\n    ), mock.patch(\n        \"backend.services.model_provider_service.add_repo_to_name\",\n        return_value=\"openai/text-embedding-3-small\",\n    ), mock.patch(\n        \"backend.services.model_provider_service.ModelRequest\"\n    ) as mock_model_request, mock.patch(\n        \"backend.services.model_provider_service.embedding_dimension_check\",\n        new_callable=mock.AsyncMock,\n        return_value=1536,\n    ), mock.patch(\n        \"backend.services.model_provider_service.ModelConnectStatusEnum\"\n    ) as mock_enum:\n\n        mock_model_req_instance = mock.MagicMock()\n        dump_dict = {\n            \"model_factory\": \"openai\",\n            \"model_name\": \"text-embedding-3-small\",\n            \"model_type\": \"embedding\",\n            \"api_key\": \"test-key\",\n            \"max_tokens\": 1024,\n            \"display_name\": \"openai/text-embedding-3-small\",\n            # ensure the dump does not contain chunk sizes pre-filled\n        }\n        mock_model_req_instance.model_dump.return_value = dump_dict\n        mock_model_request.return_value = mock_model_req_instance\n        mock_enum.NOT_DETECTED.value = \"not_detected\"\n\n        provider = \"openai\"\n        # Provider returns explicit chunk sizes that should override defaults\n        model = {\n            \"id\": \"openai/text-embedding-3-small\",\n            \"model_type\": \"embedding\",\n            \"max_tokens\": 1024,\n            \"expected_chunk_size\": 900,\n            \"maximum_chunk_size\": 1200,\n        }\n        base_url = \"https://api.openai.com/v1/\"\n        api_key = \"test-key\"\n\n        result = await prepare_model_dict(provider, model, base_url, api_key)\n\n        # Verify ModelRequest received explicit chunk sizes\n        _, kwargs = mock_model_request.call_args\n        assert kwargs[\"expected_chunk_size\"] == 900\n        assert kwargs[\"maximum_chunk_size\"] == 1200\n\n        # Result should contain explicit chunk sizes and updated max_tokens from emb dim check\n        expected = dump_dict | {\n            \"model_repo\": \"openai\",\n            \"base_url\": \"https://api.openai.com/v1/embeddings\",\n            \"connect_status\": \"not_detected\",\n            \"max_tokens\": 1536,\n        }\n        assert result == expected\n\n\n@pytest.mark.asyncio\nasync def test_prepare_model_dict_multi_embedding_defaults():\n    \"\"\"multi_embedding should mirror embedding: default chunk sizes and emb base_url.\"\"\"\n    with mock.patch(\n        \"backend.services.model_provider_service.split_repo_name\",\n        return_value=(\"openai\", \"text-embedding-3-large\"),\n    ) as mock_split_repo, mock.patch(\n        \"backend.services.model_provider_service.add_repo_to_name\",\n        return_value=\"openai/text-embedding-3-large\",\n    ) as mock_add_repo_to_name, mock.patch(\n        \"backend.services.model_provider_service.ModelRequest\"\n    ) as mock_model_request, mock.patch(\n        \"backend.services.model_provider_service.embedding_dimension_check\",\n        new_callable=mock.AsyncMock,\n        return_value=1536,\n    ) as mock_emb_dim_check, mock.patch(\n        \"backend.services.model_provider_service.ModelConnectStatusEnum\"\n    ) as mock_enum:\n\n        mock_model_req_instance = mock.MagicMock()\n        dump_dict = {\n            \"model_factory\": \"openai\",\n            \"model_name\": \"text-embedding-3-large\",\n            \"model_type\": \"multi_embedding\",\n            \"api_key\": \"test-key\",\n            \"max_tokens\": 1024,\n            \"display_name\": \"openai/text-embedding-3-large\",\n        }\n        mock_model_req_instance.model_dump.return_value = dump_dict\n        mock_model_request.return_value = mock_model_req_instance\n        mock_enum.NOT_DETECTED.value = \"not_detected\"\n\n        provider = \"openai\"\n        model = {\n            \"id\": \"openai/text-embedding-3-large\",\n            \"model_type\": \"multi_embedding\",\n            \"max_tokens\": 1024,\n        }\n        base_url = \"https://api.openai.com/v1/\"\n        api_key = \"test-key\"\n\n        result = await prepare_model_dict(provider, model, base_url, api_key)\n\n        mock_split_repo.assert_called_once_with(\n            \"openai/text-embedding-3-large\")\n        mock_add_repo_to_name.assert_called_once_with(\n            \"openai\", \"text-embedding-3-large\"\n        )\n\n        _, kwargs = mock_model_request.call_args\n        assert kwargs[\"expected_chunk_size\"] == sys.modules[\"consts.const\"].DEFAULT_EXPECTED_CHUNK_SIZE\n        assert kwargs[\"maximum_chunk_size\"] == sys.modules[\"consts.const\"].DEFAULT_MAXIMUM_CHUNK_SIZE\n        mock_emb_dim_check.assert_called_once_with(dump_dict)\n\n        expected = dump_dict | {\n            \"model_repo\": \"openai\",\n            \"base_url\": \"https://api.openai.com/v1/embeddings\",\n            \"connect_status\": \"not_detected\",\n            \"max_tokens\": 1536,\n        }\n        assert result == expected\n\n\n# ============================================================================\n# Test-cases for merge_existing_model_tokens\n# ============================================================================\n\n\ndef test_merge_existing_model_tokens_embedding_type():\n    \"\"\"Embedding and multi_embedding model types should return model_list unchanged.\"\"\"\n    model_list = [\n        {\"id\": \"openai/text-embedding-ada-002\", \"model_type\": \"embedding\"}\n    ]\n    tenant_id = \"test-tenant\"\n    provider = \"openai\"\n\n    # Test embedding type\n    result = merge_existing_model_tokens(\n        model_list, tenant_id, provider, \"embedding\"\n    )\n    assert result == model_list\n\n    # Test multi_embedding type\n    result = merge_existing_model_tokens(\n        model_list, tenant_id, provider, \"multi_embedding\"\n    )\n    assert result == model_list\n\n\ndef test_merge_existing_model_tokens_empty_model_list():\n    \"\"\"Empty model_list should return unchanged.\"\"\"\n    model_list = []\n    tenant_id = \"test-tenant\"\n    provider = \"openai\"\n    model_type = \"llm\"\n\n    with mock.patch(\n        \"backend.services.model_provider_service.get_models_by_tenant_factory_type\",\n        return_value=[],\n    ):\n        result = merge_existing_model_tokens(\n            model_list, tenant_id, provider, model_type\n        )\n        assert result == model_list\n\n\ndef test_merge_existing_model_tokens_no_existing_models():\n    \"\"\"When no existing models found, should return model_list unchanged.\"\"\"\n    model_list = [{\"id\": \"openai/gpt-4\", \"model_type\": \"llm\"}]\n    tenant_id = \"test-tenant\"\n    provider = \"openai\"\n    model_type = \"llm\"\n\n    with mock.patch(\n        \"backend.services.model_provider_service.get_models_by_tenant_factory_type\",\n        return_value=[],\n    ):\n        result = merge_existing_model_tokens(\n            model_list, tenant_id, provider, model_type\n        )\n        assert result == model_list\n\n\ndef test_merge_existing_model_tokens_successful_merge():\n    \"\"\"Should successfully merge max_tokens from existing models.\"\"\"\n    model_list = [\n        {\"id\": \"openai/gpt-4\", \"model_type\": \"llm\"},\n        {\"id\": \"openai/gpt-3.5-turbo\", \"model_type\": \"llm\"},\n        {\"id\": \"anthropic/claude-3\", \"model_type\": \"llm\"},\n    ]\n    tenant_id = \"test-tenant\"\n    provider = \"openai\"\n    model_type = \"llm\"\n\n    existing_models = [\n        {\n            \"model_repo\": \"openai\",\n            \"model_name\": \"gpt-4\",\n            \"max_tokens\": 8192,\n        },\n        {\n            \"model_repo\": \"openai\",\n            \"model_name\": \"gpt-3.5-turbo\",\n            \"max_tokens\": sys.modules[\"consts.const\"].DEFAULT_LLM_MAX_TOKENS,\n        },\n        # Note: claude-3 is not in existing models, so it won't get max_tokens\n    ]\n\n    with mock.patch(\n        \"backend.services.model_provider_service.get_models_by_tenant_factory_type\",\n        return_value=existing_models,\n    ):\n        result = merge_existing_model_tokens(\n            model_list, tenant_id, provider, model_type\n        )\n\n        # Check that max_tokens were merged correctly\n        assert result[0][\"max_tokens\"] == 8192  # gpt-4\n        # gpt-3.5-turbo\n        assert result[1][\"max_tokens\"] == sys.modules[\"consts.const\"].DEFAULT_LLM_MAX_TOKENS\n        assert \"max_tokens\" not in result[2]  # claude-3 (no existing model)\n\n        # Verify original model_list was not modified\n        assert result == model_list\n\n\ndef test_merge_existing_model_tokens_partial_match():\n    \"\"\"Should handle cases where only some models have existing records.\"\"\"\n    model_list = [\n        {\"id\": \"openai/gpt-4\", \"model_type\": \"llm\"},\n        {\"id\": \"anthropic/claude-3\", \"model_type\": \"llm\"},\n    ]\n    tenant_id = \"test-tenant\"\n    provider = \"openai\"\n    model_type = \"llm\"\n\n    existing_models = [\n        {\n            \"model_repo\": \"openai\",\n            \"model_name\": \"gpt-4\",\n            \"max_tokens\": 8192,\n        }\n        # claude-3 not in existing models\n    ]\n\n    with mock.patch(\n        \"backend.services.model_provider_service.get_models_by_tenant_factory_type\",\n        return_value=existing_models,\n    ):\n        result = merge_existing_model_tokens(\n            model_list, tenant_id, provider, model_type\n        )\n\n        # Only gpt-4 should have max_tokens\n        assert result[0][\"max_tokens\"] == 8192\n        assert \"max_tokens\" not in result[1]\n\n\ndef test_merge_existing_model_tokens_different_provider():\n    \"\"\"Should work with different providers.\"\"\"\n    model_list = [{\"id\": \"anthropic/claude-3\", \"model_type\": \"llm\"}]\n    tenant_id = \"test-tenant\"\n    provider = \"anthropic\"\n    model_type = \"llm\"\n\n    existing_models = [\n        {\n            \"model_repo\": \"anthropic\",\n            \"model_name\": \"claude-3\",\n            \"max_tokens\": 100000,\n        }\n    ]\n\n    with mock.patch(\n        \"backend.services.model_provider_service.get_models_by_tenant_factory_type\",\n        return_value=existing_models,\n    ):\n        result = merge_existing_model_tokens(\n            model_list, tenant_id, provider, model_type\n        )\n\n        assert result[0][\"max_tokens\"] == 100000\n\n\ndef test_merge_existing_model_tokens_verify_function_call():\n    \"\"\"Should call get_models_by_tenant_factory_type with correct parameters.\"\"\"\n    model_list = [{\"id\": \"openai/gpt-4\", \"model_type\": \"llm\"}]\n    tenant_id = \"test-tenant\"\n    provider = \"openai\"\n    model_type = \"llm\"\n\n    with mock.patch(\n        \"backend.services.model_provider_service.get_models_by_tenant_factory_type\",\n        return_value=[],\n    ) as mock_get_models:\n        merge_existing_model_tokens(\n            model_list, tenant_id, provider, model_type\n        )\n\n        mock_get_models.assert_called_once_with(\n            tenant_id, provider, model_type)\n\n\n# ============================================================================\n# Test-cases for get_provider_models\n# ============================================================================\n\n\n@pytest.mark.asyncio\nasync def test_get_provider_models_silicon_success():\n    \"\"\"Should successfully get models from Silicon provider.\"\"\"\n    model_data = {\n        \"provider\": \"silicon\",\n        \"model_type\": \"llm\",\n        \"api_key\": \"test-key\",\n    }\n\n    expected_models = [\n        {\n            \"id\": \"gpt-4\",\n            \"model_tag\": \"chat\",\n            \"model_type\": \"llm\",\n            \"max_tokens\": sys.modules[\"consts.const\"].DEFAULT_LLM_MAX_TOKENS,\n        }\n    ]\n\n    with mock.patch(\n        \"backend.services.model_provider_service.SiliconModelProvider\"\n    ) as mock_provider_class:\n        mock_provider_instance = mock.AsyncMock()\n        mock_provider_instance.get_models.return_value = expected_models\n        mock_provider_class.return_value = mock_provider_instance\n\n        result = await get_provider_models(model_data)\n\n        # Verify the result\n        assert result == expected_models\n\n        # Verify SiliconModelProvider was instantiated\n        mock_provider_class.assert_called_once()\n\n        # Verify get_models was called with correct parameters\n        mock_provider_instance.get_models.assert_called_once_with(model_data)\n\n\n@pytest.mark.asyncio\nasync def test_get_provider_models_silicon_empty_result():\n    \"\"\"Should handle empty result from Silicon provider.\"\"\"\n    model_data = {\n        \"provider\": \"silicon\",\n        \"model_type\": \"embedding\",\n        \"api_key\": \"test-key\",\n    }\n\n    with mock.patch(\n        \"backend.services.model_provider_service.SiliconModelProvider\"\n    ) as mock_provider_class:\n        mock_provider_instance = mock.AsyncMock()\n        mock_provider_instance.get_models.return_value = []\n        mock_provider_class.return_value = mock_provider_instance\n\n        result = await get_provider_models(model_data)\n\n        assert result == []\n        mock_provider_instance.get_models.assert_called_once_with(model_data)\n\n\n@pytest.mark.asyncio\nasync def test_get_provider_models_silicon_exception():\n    \"\"\"Should handle exceptions from Silicon provider and return empty list.\"\"\"\n    model_data = {\n        \"provider\": \"silicon\",\n        \"model_type\": \"llm\",\n        \"api_key\": \"test-key\",\n    }\n\n    with mock.patch(\n        \"backend.services.model_provider_service.SiliconModelProvider\"\n    ) as mock_provider_class:\n        mock_provider_instance = mock.AsyncMock()\n        mock_provider_instance.get_models.side_effect = Exception(\n            \"Provider error\"\n        )\n        mock_provider_class.return_value = mock_provider_instance\n\n        # Since get_provider_models doesn't have exception handling,\n        # the exception should propagate up\n        with pytest.raises(Exception, match=\"Provider error\"):\n            await get_provider_models(model_data)\n\n\n@pytest.mark.asyncio\nasync def test_get_provider_models_silicon_constructor_exception():\n    \"\"\"Should handle exceptions from SiliconModelProvider constructor.\"\"\"\n    model_data = {\n        \"provider\": \"silicon\",\n        \"model_type\": \"llm\",\n        \"api_key\": \"test-key\",\n    }\n\n    with mock.patch(\n        \"backend.services.model_provider_service.SiliconModelProvider\"\n    ) as mock_provider_class:\n        mock_provider_class.side_effect = Exception(\"Constructor error\")\n\n        # Exception should propagate up since get_provider_models has no exception handling\n        with pytest.raises(Exception, match=\"Constructor error\"):\n            await get_provider_models(model_data)\n\n\n@pytest.mark.asyncio\nasync def test_get_provider_models_silicon_internal_exception_handling():\n    \"\"\"Should test that SiliconModelProvider.get_models() handles internal exceptions correctly.\"\"\"\n\n    model_data = {\n        \"provider\": \"silicon\",\n        \"model_type\": \"llm\",\n        \"api_key\": \"test-key\",\n    }\n\n    # Test with a mock that simulates the real SiliconModelProvider behavior\n    with mock.patch(\n        \"backend.services.model_provider_service.SiliconModelProvider\"\n    ) as mock_provider_class:\n        # Create a mock instance that simulates the real provider's exception handling\n        mock_provider_instance = mock.AsyncMock()\n\n        # Simulate the real provider's behavior: when get_models is called with an exception,\n        # it should handle it internally and return empty list\n        async def mock_get_models_with_exception_handling(config):\n            try:\n                # Simulate some operation that might fail\n                if config.get(\"api_key\") == \"trigger_exception\":\n                    raise Exception(\"Internal provider error\")\n                return [{\"id\": \"test-model\"}]\n            except Exception:\n                # Simulate the real provider's exception handling\n                return []\n\n        mock_provider_instance.get_models = mock_get_models_with_exception_handling\n        mock_provider_class.return_value = mock_provider_instance\n\n        # Test normal case\n        result = await get_provider_models(model_data)\n        assert result == [{\"id\": \"test-model\"}]\n\n        # Test case where provider handles exception internally\n        model_data_exception = model_data.copy()\n        model_data_exception[\"api_key\"] = \"trigger_exception\"\n        result = await get_provider_models(model_data_exception)\n        assert result == []\n\n\n@pytest.mark.asyncio\nasync def test_get_provider_models_unsupported_provider():\n    \"\"\"Should return empty list for unsupported providers.\"\"\"\n    model_data = {\n        \"provider\": \"unsupported_provider\",\n        \"model_type\": \"llm\",\n        \"api_key\": \"test-key\",\n    }\n\n    result = await get_provider_models(model_data)\n\n    assert result == []\n\n\n@pytest.mark.asyncio\nasync def test_get_provider_models_missing_provider():\n    \"\"\"Should handle missing provider key gracefully.\"\"\"\n    model_data = {\n        \"model_type\": \"llm\",\n        \"api_key\": \"test-key\",\n    }\n\n    # Since get_provider_models doesn't handle missing provider key,\n    # it should raise KeyError\n    with pytest.raises(KeyError, match=\"'provider'\"):\n        await get_provider_models(model_data)\n\n\n@pytest.mark.asyncio\nasync def test_get_provider_models_silicon_with_different_model_types():\n    \"\"\"Should work with different model types for Silicon provider.\"\"\"\n    test_cases = [\n        {\"model_type\": \"llm\", \"expected_sub_type\": \"chat\"},\n        {\"model_type\": \"vlm\", \"expected_sub_type\": \"chat\"},\n        {\"model_type\": \"embedding\", \"expected_sub_type\": \"embedding\"},\n        {\"model_type\": \"multi_embedding\", \"expected_sub_type\": \"embedding\"},\n    ]\n\n    for test_case in test_cases:\n        model_data = {\n            \"provider\": \"silicon\",\n            \"model_type\": test_case[\"model_type\"],\n            \"api_key\": \"test-key\",\n        }\n\n        with mock.patch(\n            \"backend.services.model_provider_service.SiliconModelProvider\"\n        ) as mock_provider_class:\n            mock_provider_instance = mock.AsyncMock()\n            mock_provider_instance.get_models.return_value = [\n                {\"id\": \"test-model\"}\n            ]\n            mock_provider_class.return_value = mock_provider_instance\n\n            result = await get_provider_models(model_data)\n\n            assert result == [{\"id\": \"test-model\"}]\n            mock_provider_instance.get_models.assert_called_once_with(\n                model_data)\n\n\n# ============================================================================\n# Test-cases for ModelEngineProvider.get_models\n# ============================================================================\n\n\n@pytest.mark.asyncio\nasync def test_modelengine_get_models_llm_success():\n    \"\"\"ModelEngine provider should return LLM models with correct type mapping.\"\"\"\n    from backend.services.model_provider_service import ModelEngineProvider\n\n    provider_config = {\n        \"model_type\": \"llm\",\n        \"base_url\": \"https://model-engine.com\",\n        \"api_key\": \"test-key\",\n    }\n\n    with mock.patch(\n        \"backend.services.providers.modelengine_provider.aiohttp.ClientSession\"\n    ) as mock_session_class, mock.patch(\n        \"backend.services.providers.modelengine_provider.aiohttp.ClientTimeout\"\n    ), mock.patch(\n        \"backend.services.providers.modelengine_provider.aiohttp.TCPConnector\"\n    ):\n\n        # Setup mock response\n        mock_response = mock.Mock()\n        mock_response.status = 200\n        mock_response.raise_for_status = mock.Mock()\n        # aiohttp response.json() is async, use AsyncMock for proper await behavior\n        mock_response.json = mock.AsyncMock(\n            return_value={\n                \"data\": [\n                    {\"id\": \"gpt-4\", \"type\": \"chat\"},\n                    {\"id\": \"claude-3\", \"type\": \"chat\"},\n                ]\n            }\n        )\n\n        # Setup mock session with proper async context manager\n        mock_get_cm = mock.MagicMock()\n        mock_get_cm.__aenter__ = mock.AsyncMock(return_value=mock_response)\n        mock_get_cm.__aexit__ = mock.AsyncMock(return_value=None)\n\n        mock_session_instance = mock.MagicMock()\n        mock_session_instance.get = mock.Mock(return_value=mock_get_cm)\n\n        mock_session_cm = mock.MagicMock()\n        mock_session_cm.__aenter__ = mock.AsyncMock(\n            return_value=mock_session_instance\n        )\n        mock_session_cm.__aexit__ = mock.AsyncMock(return_value=None)\n\n        mock_session_class.return_value = mock_session_cm\n\n        result = await ModelEngineProvider().get_models(provider_config)\n\n        assert len(result) == 2\n        assert result[0][\"id\"] == \"gpt-4\"\n        assert result[0][\"model_type\"] == \"llm\"\n        assert result[0][\"model_tag\"] == \"chat\"\n        assert result[0][\"max_tokens\"] == sys.modules[\"consts.const\"].DEFAULT_LLM_MAX_TOKENS\n        assert result[0][\"base_url\"] == \"https://model-engine.com\"\n        assert result[0][\"api_key\"] == \"test-key\"\n\n\n@pytest.mark.asyncio\nasync def test_modelengine_get_models_embedding_success():\n    \"\"\"ModelEngine provider should return embedding models with correct type mapping.\"\"\"\n    from backend.services.model_provider_service import ModelEngineProvider\n\n    provider_config = {\n        \"model_type\": \"embedding\",\n        \"base_url\": \"https://model-engine.com\",\n        \"api_key\": \"test-key\",\n    }\n\n    with mock.patch(\n        \"backend.services.providers.modelengine_provider.aiohttp.ClientSession\"\n    ) as mock_session_class, mock.patch(\n        \"backend.services.providers.modelengine_provider.aiohttp.ClientTimeout\"\n    ), mock.patch(\n        \"backend.services.providers.modelengine_provider.aiohttp.TCPConnector\"\n    ):\n\n        mock_response = mock.AsyncMock()\n        mock_response.status = 200\n        mock_response.raise_for_status = mock.Mock()\n        mock_response.json.side_effect = lambda: {\n            \"data\": [\n                {\"id\": \"text-embedding-ada\", \"type\": \"embed\"},\n                {\"id\": \"gpt-4\", \"type\": \"chat\"},  # Should be filtered out\n            ]\n        }\n\n        # Setup mock session with proper async context manager\n        mock_get_cm = mock.MagicMock()\n        mock_get_cm.__aenter__ = mock.AsyncMock(return_value=mock_response)\n        mock_get_cm.__aexit__ = mock.AsyncMock(return_value=None)\n\n        mock_session_instance = mock.MagicMock()\n        mock_session_instance.get = mock.Mock(return_value=mock_get_cm)\n\n        mock_session_cm = mock.MagicMock()\n        mock_session_cm.__aenter__ = mock.AsyncMock(\n            return_value=mock_session_instance\n        )\n        mock_session_cm.__aexit__ = mock.AsyncMock(return_value=None)\n\n        mock_session_class.return_value = mock_session_cm\n\n        result = await ModelEngineProvider().get_models(provider_config)\n\n        assert len(result) == 1\n        assert result[0][\"id\"] == \"text-embedding-ada\"\n        assert result[0][\"model_type\"] == \"embedding\"\n        assert result[0][\"model_tag\"] == \"embed\"\n        assert result[0][\"max_tokens\"] == 0\n\n\n@pytest.mark.asyncio\nasync def test_modelengine_get_models_all_types():\n    \"\"\"ModelEngine provider should return all models when no type filter specified.\"\"\"\n    from backend.services.model_provider_service import ModelEngineProvider\n\n    provider_config = {\n        \"base_url\": \"https://model-engine.com\",\n        \"api_key\": \"test-key\",\n    }  # No model_type filter\n\n    with mock.patch(\n        \"backend.services.providers.modelengine_provider.aiohttp.ClientSession\"\n    ) as mock_session_class, mock.patch(\n        \"backend.services.providers.modelengine_provider.aiohttp.ClientTimeout\"\n    ), mock.patch(\n        \"backend.services.providers.modelengine_provider.aiohttp.TCPConnector\"\n    ):\n\n        mock_response = mock.AsyncMock()\n        mock_response.status = 200\n        mock_response.raise_for_status = mock.Mock()\n        mock_response.json.side_effect = lambda: {\n            \"data\": [\n                {\"id\": \"gpt-4\", \"type\": \"chat\"},\n                {\"id\": \"text-embedding-ada\", \"type\": \"embed\"},\n                {\"id\": \"whisper\", \"type\": \"asr\"},\n                {\"id\": \"tts-model\", \"type\": \"tts\"},\n                {\"id\": \"rerank-model\", \"type\": \"rerank\"},\n                {\"id\": \"vlm-model\", \"type\": \"multimodal\"},\n                # Should be filtered out\n                {\"id\": \"unknown-model\", \"type\": \"unknown\"},\n            ]\n        }\n\n        # Setup mock session with proper async context manager\n        mock_get_cm = mock.MagicMock()\n        mock_get_cm.__aenter__ = mock.AsyncMock(return_value=mock_response)\n        mock_get_cm.__aexit__ = mock.AsyncMock(return_value=None)\n\n        mock_session_instance = mock.MagicMock()\n        mock_session_instance.get = mock.Mock(return_value=mock_get_cm)\n\n        mock_session_cm = mock.MagicMock()\n        mock_session_cm.__aenter__ = mock.AsyncMock(\n            return_value=mock_session_instance\n        )\n        mock_session_cm.__aexit__ = mock.AsyncMock(return_value=None)\n\n        mock_session_class.return_value = mock_session_cm\n\n        result = await ModelEngineProvider().get_models(provider_config)\n\n        assert len(result) == 6\n        # Verify type mapping\n        type_map = {model[\"id\"]: model[\"model_type\"] for model in result}\n        assert type_map[\"gpt-4\"] == \"llm\"\n        assert type_map[\"text-embedding-ada\"] == \"embedding\"\n        assert type_map[\"whisper\"] == \"stt\"\n        assert type_map[\"tts-model\"] == \"tts\"\n        assert type_map[\"rerank-model\"] == \"rerank\"\n        assert type_map[\"vlm-model\"] == \"vlm\"\n\n\n@pytest.mark.asyncio\nasync def test_modelengine_get_models_exception():\n    \"\"\"ModelEngine provider should return error response on exception.\"\"\"\n    from backend.services.model_provider_service import ModelEngineProvider\n\n    provider_config = {\n        \"model_type\": \"llm\",\n        \"base_url\": \"https://model-engine.com\",\n        \"api_key\": \"test-key\"\n    }\n\n    with mock.patch(\n        \"backend.services.providers.modelengine_provider.aiohttp.ClientSession\"\n    ) as mock_session:\n\n        mock_session_instance = mock.AsyncMock()\n        mock_session_instance.__aenter__.return_value = mock_session_instance\n        mock_session_instance.get.side_effect = Exception(\"Network error\")\n        mock_session.return_value = mock_session_instance\n\n        result = await ModelEngineProvider().get_models(provider_config)\n\n        # Should return error response\n        assert len(result) == 1\n        assert result[0][\"_error\"] == \"connection_failed\"\n\n\n# ============================================================================\n# Test-cases for prepare_model_dict with ModelEngine provider\n# ============================================================================\n\n\n@pytest.mark.asyncio\nasync def test_prepare_model_dict_modelengine_llm():\n    \"\"\"ModelEngine LLM models should have correct base_url path and ssl_verify=False.\"\"\"\n    with mock.patch(\n        \"backend.services.model_provider_service.split_repo_name\",\n        return_value=(\"modelengine\", \"gpt-4\"),\n    ), mock.patch(\n        \"backend.services.model_provider_service.add_repo_to_name\",\n        return_value=\"modelengine/gpt-4\",\n    ), mock.patch(\n        \"backend.services.model_provider_service.ModelRequest\"\n    ) as mock_model_request, mock.patch(\n        \"backend.services.model_provider_service.embedding_dimension_check\",\n        new_callable=mock.AsyncMock,\n    ), mock.patch(\n        \"backend.services.model_provider_service.ProviderEnum\"\n    ) as mock_enum:\n\n        mock_model_req_instance = mock.MagicMock()\n        dump_dict = {\n            \"model_factory\": \"modelengine\",\n            \"model_name\": \"gpt-4\",\n            \"model_type\": \"llm\",\n            \"api_key\": \"me-key\",\n            \"max_tokens\": sys.modules[\"consts.const\"].DEFAULT_LLM_MAX_TOKENS,\n            \"display_name\": \"modelengine/gpt-4\",\n        }\n        mock_model_req_instance.model_dump.return_value = dump_dict\n        mock_model_request.return_value = mock_model_req_instance\n        mock_enum.MODELENGINE.value = \"modelengine\"\n\n        provider = \"modelengine\"\n        model = {\n            \"id\": \"modelengine/gpt-4\",\n            \"model_type\": \"llm\",\n            \"max_tokens\": sys.modules[\"consts.const\"].DEFAULT_LLM_MAX_TOKENS,\n            \"base_url\": \"https://120.253.225.102:50001\",  # Raw URL without /open/router/v1\n            \"api_key\": \"me-key\",\n        }\n        base_url = \"https://api.openai.com/v1\"\n        api_key = \"original-key\"\n\n        result = await prepare_model_dict(provider, model, base_url, api_key)\n\n        expected = dump_dict | {\n            \"model_repo\": \"modelengine\",\n            \"base_url\": \"https://120.253.225.102:50001/open/router/v1\",\n            \"connect_status\": \"not_detected\",\n            \"ssl_verify\": False,\n        }\n        assert result == expected\n        assert result[\"ssl_verify\"] is False\n        assert \"/open/router/v1\" in result[\"base_url\"]\n\n\n@pytest.mark.asyncio\nasync def test_prepare_model_dict_modelengine_embedding():\n    \"\"\"ModelEngine embedding models should have correct embeddings path.\"\"\"\n    with mock.patch(\n        \"backend.services.model_provider_service.split_repo_name\",\n        return_value=(\"modelengine\", \"text-embedding\"),\n    ), mock.patch(\n        \"backend.services.model_provider_service.add_repo_to_name\",\n        return_value=\"modelengine/text-embedding\",\n    ), mock.patch(\n        \"backend.services.model_provider_service.ModelRequest\"\n    ) as mock_model_request, mock.patch(\n        \"backend.services.model_provider_service.embedding_dimension_check\",\n        new_callable=mock.AsyncMock,\n        return_value=1536,\n    ), mock.patch(\n        \"backend.services.model_provider_service.ProviderEnum\"\n    ) as mock_enum, mock.patch(\n        \"backend.services.model_provider_service.ModelConnectStatusEnum\"\n    ) as mock_status_enum:\n\n        mock_model_req_instance = mock.MagicMock()\n        dump_dict = {\n            \"model_factory\": \"modelengine\",\n            \"model_name\": \"text-embedding\",\n            \"model_type\": \"embedding\",\n            \"api_key\": \"me-key\",\n            \"max_tokens\": 1024,\n            \"display_name\": \"modelengine/text-embedding\",\n        }\n        mock_model_req_instance.model_dump.return_value = dump_dict\n        mock_model_request.return_value = mock_model_req_instance\n        mock_enum.MODELENGINE.value = \"modelengine\"\n        mock_status_enum.NOT_DETECTED.value = \"not_detected\"\n\n        provider = \"modelengine\"\n        model = {\n            \"id\": \"modelengine/text-embedding\",\n            \"model_type\": \"embedding\",\n            \"max_tokens\": 1024,\n            \"base_url\": \"https://120.253.225.102:50001\",\n            \"api_key\": \"me-key\",\n        }\n        base_url = \"https://api.openai.com/v1\"\n        api_key = \"original-key\"\n\n        result = await prepare_model_dict(provider, model, base_url, api_key)\n\n        expected = dump_dict | {\n            \"model_repo\": \"modelengine\",\n            \"base_url\": \"https://120.253.225.102:50001/open/router/v1/embeddings\",\n            \"connect_status\": \"not_detected\",\n            \"ssl_verify\": False,\n            \"max_tokens\": 1536,\n        }\n        assert result == expected\n        assert result[\"ssl_verify\"] is False\n        assert \"/open/router/v1/embeddings\" in result[\"base_url\"]\n\n\n@pytest.mark.asyncio\nasync def test_prepare_model_dict_modelengine_base_url_stripping():\n    \"\"\"ModelEngine should strip existing /open/ paths from base_url.\"\"\"\n    with mock.patch(\n        \"backend.services.model_provider_service.split_repo_name\",\n        return_value=(\"modelengine\", \"gpt-4\"),\n    ), mock.patch(\n        \"backend.services.model_provider_service.add_repo_to_name\",\n        return_value=\"modelengine/gpt-4\",\n    ), mock.patch(\n        \"backend.services.model_provider_service.ModelRequest\"\n    ) as mock_model_request, mock.patch(\n        \"backend.services.model_provider_service.embedding_dimension_check\",\n        new_callable=mock.AsyncMock,\n    ), mock.patch(\n        \"backend.services.model_provider_service.ProviderEnum\"\n    ) as mock_enum:\n\n        mock_model_req_instance = mock.MagicMock()\n        dump_dict = {\n            \"model_factory\": \"modelengine\",\n            \"model_name\": \"gpt-4\",\n            \"model_type\": \"llm\",\n            \"api_key\": \"me-key\",\n            \"max_tokens\": sys.modules[\"consts.const\"].DEFAULT_LLM_MAX_TOKENS,\n            \"display_name\": \"modelengine/gpt-4\",\n        }\n        mock_model_req_instance.model_dump.return_value = dump_dict\n        mock_model_request.return_value = mock_model_req_instance\n        mock_enum.MODELENGINE.value = \"modelengine\"\n\n        provider = \"modelengine\"\n        model = {\n            \"id\": \"modelengine/gpt-4\",\n            \"model_type\": \"llm\",\n            \"max_tokens\": sys.modules[\"consts.const\"].DEFAULT_LLM_MAX_TOKENS,\n            \"base_url\": \"https://120.253.225.102:50001\",  # Raw URL without /open/ paths\n            \"api_key\": \"me-key\",\n        }\n        base_url = \"https://api.openai.com/v1\"\n        api_key = \"original-key\"\n\n        result = await prepare_model_dict(provider, model, base_url, api_key)\n\n        # Should have /open/router/v1 appended for ModelEngine\n        assert result[\"base_url\"] == \"https://120.253.225.102:50001/open/router/v1\"\n\n\n# ============================================================================\n# Test-cases for get_provider_models with ModelEngine provider\n# ============================================================================\n\n\n@pytest.mark.asyncio\nasync def test_get_provider_models_modelengine_success():\n    \"\"\"Should successfully get models from ModelEngine provider.\"\"\"\n    from backend.services.model_provider_service import ModelEngineProvider\n\n    model_data = {\"provider\": \"modelengine\", \"model_type\": \"llm\"}\n\n    expected_models = [\n        {\n            \"id\": \"gpt-4\",\n            \"model_tag\": \"chat\",\n            \"model_type\": \"llm\",\n            \"max_tokens\": sys.modules[\"consts.const\"].DEFAULT_LLM_MAX_TOKENS,\n        }\n    ]\n\n    with mock.patch(\n        \"backend.services.model_provider_service.ModelEngineProvider\"\n    ) as mock_provider_class:\n        mock_provider_instance = mock.AsyncMock()\n        mock_provider_instance.get_models.return_value = expected_models\n        mock_provider_class.return_value = mock_provider_instance\n\n        result = await get_provider_models(model_data)\n\n        assert result == expected_models\n        mock_provider_class.assert_called_once()\n        mock_provider_instance.get_models.assert_called_once_with(model_data)\n\n\n@pytest.mark.asyncio\nasync def test_get_provider_models_modelengine_empty_result():\n    \"\"\"Should handle empty result from ModelEngine provider.\"\"\"\n    from backend.services.model_provider_service import ModelEngineProvider\n\n    model_data = {\"provider\": \"modelengine\", \"model_type\": \"embedding\"}\n\n    with mock.patch(\n        \"backend.services.model_provider_service.ModelEngineProvider\"\n    ) as mock_provider_class:\n        mock_provider_instance = mock.AsyncMock()\n        mock_provider_instance.get_models.return_value = []\n        mock_provider_class.return_value = mock_provider_instance\n\n        result = await get_provider_models(model_data)\n\n        assert result == []\n        mock_provider_instance.get_models.assert_called_once_with(model_data)\n\n\n# ============================================================================\n# Additional coverage tests for edge cases\n# ============================================================================\n\n\n@pytest.mark.asyncio\nasync def test_modelengine_get_models_missing_host_or_api_key():\n    \"\"\"ModelEngine provider should return empty list when host or api_key is missing.\"\"\"\n    from backend.services.model_provider_service import ModelEngineProvider\n\n    # Mock the provider to avoid actual network calls\n    with mock.patch.object(ModelEngineProvider, \"get_models\", new_callable=mock.AsyncMock) as mock_get_models:\n        mock_get_models.return_value = []\n\n        # Test missing api_key\n        provider_config_missing_api_key = {\n            \"model_type\": \"llm\",\n            \"base_url\": \"https://model-engine.com\"\n        }\n\n        result = await ModelEngineProvider().get_models(provider_config_missing_api_key)\n        assert result == []\n\n        # Test missing base_url\n        provider_config_missing_url = {\n            \"model_type\": \"llm\",\n            \"api_key\": \"test-key\"\n        }\n\n        result = await ModelEngineProvider().get_models(provider_config_missing_url)\n        assert result == []\n\n        # Test both missing\n        provider_config_both_missing = {\n            \"model_type\": \"llm\"\n        }\n\n        result = await ModelEngineProvider().get_models(provider_config_both_missing)\n        assert result == []\n\n\n@pytest.mark.asyncio\nasync def test_silicon_get_models_empty_list():\n    \"\"\"Silicon provider should return empty list when API returns empty data.\"\"\"\n    provider_config = {\"model_type\": \"llm\", \"api_key\": \"test-key\"}\n\n    with mock.patch(\n        \"backend.services.providers.silicon_provider.httpx.AsyncClient\"\n    ) as mock_client, mock.patch(\n        \"backend.services.providers.silicon_provider.SILICON_GET_URL\",\n        \"https://silicon.com\",\n    ):\n\n        mock_client_instance = mock.AsyncMock()\n        mock_client.return_value.__aenter__.return_value = mock_client_instance\n\n        mock_response = mock.Mock()\n        mock_response.status_code = 200\n        mock_response._json_data = {\"data\": []}  # Empty model list\n        mock_response.json = mock.Mock(side_effect=lambda: mock_response._json_data)\n        mock_response.raise_for_status = mock.Mock()\n        mock_client_instance.get.return_value = mock_response\n\n        result = await SiliconModelProvider().get_models(provider_config)\n\n        # Should return empty list when API returns empty data\n        assert result == []\n\n\n@pytest.mark.asyncio\nasync def test_modelengine_get_models_http_401_error():\n    \"\"\"ModelEngine provider should return error response for 401 Unauthorized.\"\"\"\n    from backend.services.providers.base import _classify_provider_error\n\n    provider_config = {\n        \"model_type\": \"llm\",\n        \"base_url\": \"https://model-engine.com\",\n        \"api_key\": \"invalid-key\",\n    }\n\n    with mock.patch(\n        \"backend.services.providers.modelengine_provider.aiohttp.ClientSession\"\n    ) as mock_session_class, mock.patch(\n        \"backend.services.providers.modelengine_provider.aiohttp.ClientTimeout\"\n    ), mock.patch(\n        \"backend.services.providers.modelengine_provider.aiohttp.TCPConnector\"\n    ):\n\n        mock_response = mock.AsyncMock()\n        mock_response.status = 401\n        mock_response.text.side_effect = lambda: \"Invalid API key\"\n        mock_response.raise_for_status = mock.Mock()\n\n        mock_get_cm = mock.MagicMock()\n        mock_get_cm.__aenter__ = mock.AsyncMock(return_value=mock_response)\n        mock_get_cm.__aexit__ = mock.AsyncMock(return_value=None)\n\n        mock_session_instance = mock.MagicMock()\n        mock_session_instance.get = mock.Mock(return_value=mock_get_cm)\n\n        mock_session_cm = mock.MagicMock()\n        mock_session_cm.__aenter__ = mock.AsyncMock(\n            return_value=mock_session_instance\n        )\n        mock_session_cm.__aexit__ = mock.AsyncMock(return_value=None)\n\n        mock_session_class.return_value = mock_session_cm\n\n        from backend.services.model_provider_service import ModelEngineProvider\n\n        result = await ModelEngineProvider().get_models(provider_config)\n\n        # Should return error response for 401\n        assert len(result) == 1\n        assert result[0][\"_error\"] == \"authentication_failed\"\n        assert result[0][\"_http_code\"] == 401\n\n\n@pytest.mark.asyncio\nasync def test_modelengine_get_models_http_403_error():\n    \"\"\"ModelEngine provider should return error response for 403 Forbidden.\"\"\"\n    provider_config = {\n        \"model_type\": \"llm\",\n        \"base_url\": \"https://model-engine.com\",\n        \"api_key\": \"test-key\",\n    }\n\n    with mock.patch(\n        \"backend.services.providers.modelengine_provider.aiohttp.ClientSession\"\n    ) as mock_session_class, mock.patch(\n        \"backend.services.providers.modelengine_provider.aiohttp.ClientTimeout\"\n    ), mock.patch(\n        \"backend.services.providers.modelengine_provider.aiohttp.TCPConnector\"\n    ):\n\n        mock_response = mock.AsyncMock()\n        mock_response.status = 403\n        mock_response.text.side_effect = lambda: \"Access forbidden\"\n        mock_response.raise_for_status = mock.Mock()\n\n        mock_get_cm = mock.MagicMock()\n        mock_get_cm.__aenter__ = mock.AsyncMock(return_value=mock_response)\n        mock_get_cm.__aexit__ = mock.AsyncMock(return_value=None)\n\n        mock_session_instance = mock.MagicMock()\n        mock_session_instance.get = mock.Mock(return_value=mock_get_cm)\n\n        mock_session_cm = mock.MagicMock()\n        mock_session_cm.__aenter__ = mock.AsyncMock(\n            return_value=mock_session_instance\n        )\n        mock_session_cm.__aexit__ = mock.AsyncMock(return_value=None)\n\n        mock_session_class.return_value = mock_session_cm\n\n        from backend.services.model_provider_service import ModelEngineProvider\n\n        result = await ModelEngineProvider().get_models(provider_config)\n\n        assert len(result) == 1\n        assert result[0][\"_error\"] == \"access_forbidden\"\n        assert result[0][\"_http_code\"] == 403\n\n\n@pytest.mark.asyncio\nasync def test_modelengine_get_models_http_404_error():\n    \"\"\"ModelEngine provider should return error response for 404 Not Found.\"\"\"\n    provider_config = {\n        \"model_type\": \"llm\",\n        \"base_url\": \"https://model-engine.com\",\n        \"api_key\": \"test-key\",\n    }\n\n    with mock.patch(\n        \"backend.services.providers.modelengine_provider.aiohttp.ClientSession\"\n    ) as mock_session_class, mock.patch(\n        \"backend.services.providers.modelengine_provider.aiohttp.ClientTimeout\"\n    ), mock.patch(\n        \"backend.services.providers.modelengine_provider.aiohttp.TCPConnector\"\n    ):\n\n        mock_response = mock.AsyncMock()\n        mock_response.status = 404\n        mock_response.text.side_effect = lambda: \"Endpoint not found\"\n        mock_response.raise_for_status = mock.Mock()\n\n        mock_get_cm = mock.MagicMock()\n        mock_get_cm.__aenter__ = mock.AsyncMock(return_value=mock_response)\n        mock_get_cm.__aexit__ = mock.AsyncMock(return_value=None)\n\n        mock_session_instance = mock.MagicMock()\n        mock_session_instance.get = mock.Mock(return_value=mock_get_cm)\n\n        mock_session_cm = mock.MagicMock()\n        mock_session_cm.__aenter__ = mock.AsyncMock(\n            return_value=mock_session_instance\n        )\n        mock_session_cm.__aexit__ = mock.AsyncMock(return_value=None)\n\n        mock_session_class.return_value = mock_session_cm\n\n        from backend.services.model_provider_service import ModelEngineProvider\n\n        result = await ModelEngineProvider().get_models(provider_config)\n\n        assert len(result) == 1\n        assert result[0][\"_error\"] == \"endpoint_not_found\"\n        assert result[0][\"_http_code\"] == 404\n\n\n@pytest.mark.asyncio\nasync def test_modelengine_get_models_http_500_error():\n    \"\"\"ModelEngine provider should return error response for 500 Server Error.\"\"\"\n    provider_config = {\n        \"model_type\": \"llm\",\n        \"base_url\": \"https://model-engine.com\",\n        \"api_key\": \"test-key\",\n    }\n\n    with mock.patch(\n        \"backend.services.providers.modelengine_provider.aiohttp.ClientSession\"\n    ) as mock_session_class, mock.patch(\n        \"backend.services.providers.modelengine_provider.aiohttp.ClientTimeout\"\n    ), mock.patch(\n        \"backend.services.providers.modelengine_provider.aiohttp.TCPConnector\"\n    ):\n\n        mock_response = mock.AsyncMock()\n        mock_response.status = 500\n        mock_response.text.side_effect = lambda: \"Internal server error\"\n        mock_response.raise_for_status = mock.Mock()\n\n        mock_get_cm = mock.MagicMock()\n        mock_get_cm.__aenter__ = mock.AsyncMock(return_value=mock_response)\n        mock_get_cm.__aexit__ = mock.AsyncMock(return_value=None)\n\n        mock_session_instance = mock.MagicMock()\n        mock_session_instance.get = mock.Mock(return_value=mock_get_cm)\n\n        mock_session_cm = mock.MagicMock()\n        mock_session_cm.__aenter__ = mock.AsyncMock(\n            return_value=mock_session_instance\n        )\n        mock_session_cm.__aexit__ = mock.AsyncMock(return_value=None)\n\n        mock_session_class.return_value = mock_session_cm\n\n        from backend.services.model_provider_service import ModelEngineProvider\n\n        result = await ModelEngineProvider().get_models(provider_config)\n\n        assert len(result) == 1\n        assert result[0][\"_error\"] == \"server_error\"\n        assert result[0][\"_http_code\"] == 500\n\n\n@pytest.mark.asyncio\nasync def test_modelengine_get_models_connection_error():\n    \"\"\"ModelEngine provider should handle connection errors gracefully.\"\"\"\n    provider_config = {\n        \"model_type\": \"llm\",\n        \"base_url\": \"https://model-engine.com\",\n        \"api_key\": \"test-key\",\n    }\n\n    with mock.patch(\n        \"backend.services.providers.modelengine_provider.aiohttp.ClientSession\"\n    ) as mock_session_class, mock.patch(\n        \"backend.services.providers.modelengine_provider.aiohttp.ClientTimeout\"\n    ), mock.patch(\n        \"backend.services.providers.modelengine_provider.aiohttp.TCPConnector\"\n    ):\n\n        # Create a mock exception with required attributes\n        mock_error = Exception(\"Connection refused\")\n        mock_error.lower = mock.Mock(return_value=\"connection refused\")\n        mock_session_class.side_effect = mock_error\n\n        from backend.services.model_provider_service import ModelEngineProvider\n\n        result = await ModelEngineProvider().get_models(provider_config)\n\n        # Should return error response for connection failure\n        assert len(result) == 1\n        assert result[0][\"_error\"] == \"connection_failed\"\n\n\n@pytest.mark.asyncio\nasync def test_modelengine_get_models_timeout_error():\n    \"\"\"ModelEngine provider should handle timeout errors gracefully.\"\"\"\n    import aiohttp\n\n    provider_config = {\n        \"model_type\": \"llm\",\n        \"base_url\": \"https://model-engine.com\",\n        \"api_key\": \"test-key\",\n    }\n\n    with mock.patch(\n        \"backend.services.providers.modelengine_provider.aiohttp.ClientSession\"\n    ) as mock_session_class, mock.patch(\n        \"backend.services.providers.modelengine_provider.aiohttp.ClientTimeout\"\n    ), mock.patch(\n        \"backend.services.providers.modelengine_provider.aiohttp.TCPConnector\"\n    ):\n\n        # Simulate timeout error\n        mock_session_class.side_effect = aiohttp.ServerTimeoutError(\n            \"Connection timed out\"\n        )\n\n        from backend.services.model_provider_service import ModelEngineProvider\n\n        result = await ModelEngineProvider().get_models(provider_config)\n\n        # Should return error response for timeout\n        assert len(result) == 1\n        assert result[0][\"_error\"] == \"timeout\"\n\n\n@pytest.mark.asyncio\nasync def test_modelengine_get_models_generic_exception():\n    \"\"\"ModelEngine provider should handle generic exceptions gracefully.\"\"\"\n    provider_config = {\n        \"model_type\": \"llm\",\n        \"base_url\": \"https://model-engine.com\",\n        \"api_key\": \"test-key\",\n    }\n\n    with mock.patch(\n        \"backend.services.providers.modelengine_provider.aiohttp.ClientSession\"\n    ) as mock_session_class, mock.patch(\n        \"backend.services.providers.modelengine_provider.aiohttp.ClientTimeout\"\n    ), mock.patch(\n        \"backend.services.providers.modelengine_provider.aiohttp.TCPConnector\"\n    ):\n\n        # Simulate generic exception\n        mock_session_class.side_effect = Exception(\"Unexpected error\")\n\n        from backend.services.model_provider_service import ModelEngineProvider\n\n        result = await ModelEngineProvider().get_models(provider_config)\n\n        # Should return error response\n        assert len(result) == 1\n        assert result[0][\"_error\"] == \"connection_failed\"\n\n\n# ============================================================================\n# Test-cases for get_model_engine_raw_url edge cases\n# ============================================================================\n\n\ndef test_get_model_engine_raw_url_empty_string():\n    \"\"\"Should return empty string for empty input.\"\"\"\n    from backend.services.model_provider_service import get_model_engine_raw_url\n\n    result = get_model_engine_raw_url(\"\")\n    assert result == \"\"\n\n\ndef test_get_model_engine_raw_url_none_input():\n    \"\"\"Should handle None input gracefully.\"\"\"\n    from backend.services.model_provider_service import get_model_engine_raw_url\n\n    result = get_model_engine_raw_url(None)\n    assert result == \"\"\n\n\ndef test_get_model_engine_raw_url_with_open_path():\n    \"\"\"Should strip /open/router/v1 paths correctly.\"\"\"\n    from backend.services.model_provider_service import get_model_engine_raw_url\n\n    test_cases = [\n        (\n            \"https://120.253.225.102:50001/open/router/v1\",\n            \"https://120.253.225.102:50001\",\n        ),\n        (\n            \"https://model-engine.com/open/router/v1/models\",\n            \"https://model-engine.com\",\n        ),\n        (\n            \"https://120.253.225.102:50001/open/router/v1/some/deep/path\",\n            \"https://120.253.225.102:50001\",\n        ),\n    ]\n\n    for input_url, expected in test_cases:\n        result = get_model_engine_raw_url(input_url)\n        assert result == expected, f\"Failed for input: {input_url}\"\n\n\ndef test_get_model_engine_raw_url_without_open_path():\n    \"\"\"Should return URL unchanged when no /open/ path.\"\"\"\n    from backend.services.model_provider_service import get_model_engine_raw_url\n\n    test_cases = [\n        (\"https://model-engine.com\", \"https://model-engine.com\"),\n        (\"https://120.253.225.102:50001\", \"https://120.253.225.102:50001\"),\n        (\"http://localhost:8080\", \"http://localhost:8080\"),\n    ]\n\n    for input_url, expected in test_cases:\n        result = get_model_engine_raw_url(input_url)\n        assert result == expected, f\"Failed for input: {input_url}\"\n\n\ndef test_get_model_engine_raw_url_trailing_slash():\n    \"\"\"Should remove trailing slashes correctly.\"\"\"\n    from backend.services.model_provider_service import get_model_engine_raw_url\n\n    test_cases = [\n        (\"https://model-engine.com/\", \"https://model-engine.com\"),\n        (\"https://120.253.225.102:50001/\", \"https://120.253.225.102:50001\"),\n        (\n            \"https://model-engine.com/open/router/v1/\",\n            \"https://model-engine.com\",\n        ),\n    ]\n\n    for input_url, expected in test_cases:\n        result = get_model_engine_raw_url(input_url)\n        assert result == expected, f\"Failed for input: {input_url}\"\n\n\n# ============================================================================\n# Test-cases for get_provider_models with DashScope provider\n# ============================================================================\n\n\n@pytest.mark.asyncio\nasync def test_get_provider_models_dashscope_success():\n    \"\"\"Should successfully get models from DashScope provider.\"\"\"\n    from backend.services.model_provider_service import DashScopeModelProvider\n\n    model_data = {\n        \"provider\": \"dashscope\",\n        \"model_type\": \"llm\",\n        \"api_key\": \"test-key\",\n    }\n\n    expected_models = [\n        {\n            \"id\": \"qwen-turbo\",\n            \"model_tag\": \"chat\",\n            \"model_type\": \"llm\",\n            \"max_tokens\": sys.modules[\"consts.const\"].DEFAULT_LLM_MAX_TOKENS,\n        }\n    ]\n\n    with mock.patch(\n        \"backend.services.model_provider_service.DashScopeModelProvider\"\n    ) as mock_provider_class:\n        mock_provider_instance = mock.AsyncMock()\n        mock_provider_instance.get_models.return_value = expected_models\n        mock_provider_class.return_value = mock_provider_instance\n\n        result = await get_provider_models(model_data)\n\n        assert result == expected_models\n        mock_provider_class.assert_called_once()\n        mock_provider_instance.get_models.assert_called_once_with(model_data)\n\n\n@pytest.mark.asyncio\nasync def test_get_provider_models_dashscope_empty_result():\n    \"\"\"Should handle empty result from DashScope provider.\"\"\"\n    model_data = {\n        \"provider\": \"dashscope\",\n        \"model_type\": \"embedding\",\n        \"api_key\": \"test-key\",\n    }\n\n    with mock.patch(\n        \"backend.services.model_provider_service.DashScopeModelProvider\"\n    ) as mock_provider_class:\n        mock_provider_instance = mock.AsyncMock()\n        mock_provider_instance.get_models.return_value = []\n        mock_provider_class.return_value = mock_provider_instance\n\n        result = await get_provider_models(model_data)\n\n        assert result == []\n        mock_provider_instance.get_models.assert_called_once_with(model_data)\n\n\n# ============================================================================\n# Test-cases for get_provider_models with TokenPony provider\n# ============================================================================\n\n\n@pytest.mark.asyncio\nasync def test_get_provider_models_tokenpony_success():\n    \"\"\"Should successfully get models from TokenPony provider.\"\"\"\n    from backend.services.model_provider_service import TokenPonyModelProvider\n\n    model_data = {\n        \"provider\": \"tokenpony\",\n        \"model_type\": \"llm\",\n        \"api_key\": \"test-key\",\n    }\n\n    expected_models = [\n        {\n            \"id\": \"gpt-4\",\n            \"model_tag\": \"chat\",\n            \"model_type\": \"llm\",\n            \"max_tokens\": sys.modules[\"consts.const\"].DEFAULT_LLM_MAX_TOKENS,\n        }\n    ]\n\n    with mock.patch(\n        \"backend.services.model_provider_service.TokenPonyModelProvider\"\n    ) as mock_provider_class:\n        mock_provider_instance = mock.AsyncMock()\n        mock_provider_instance.get_models.return_value = expected_models\n        mock_provider_class.return_value = mock_provider_instance\n\n        result = await get_provider_models(model_data)\n\n        assert result == expected_models\n        mock_provider_class.assert_called_once()\n        mock_provider_instance.get_models.assert_called_once_with(model_data)\n\n\n@pytest.mark.asyncio\nasync def test_get_provider_models_tokenpony_empty_result():\n    \"\"\"Should handle empty result from TokenPony provider.\"\"\"\n    model_data = {\n        \"provider\": \"tokenpony\",\n        \"model_type\": \"embedding\",\n        \"api_key\": \"test-key\",\n    }\n\n    with mock.patch(\n        \"backend.services.model_provider_service.TokenPonyModelProvider\"\n    ) as mock_provider_class:\n        mock_provider_instance = mock.AsyncMock()\n        mock_provider_instance.get_models.return_value = []\n        mock_provider_class.return_value = mock_provider_instance\n\n        result = await get_provider_models(model_data)\n\n        assert result == []\n        mock_provider_instance.get_models.assert_called_once_with(model_data)"
  },
  {
    "path": "test/backend/services/test_northbound_service.py",
    "content": "import sys\nimport os\nsys.path.insert(0, os.path.join(os.path.dirname(__file__), \"../../..\"))\n\nimport pytest\nfrom unittest.mock import MagicMock, AsyncMock, patch\n\n\n# First mock the consts module to avoid ModuleNotFoundError\nconsts_mock = MagicMock()\nconsts_mock.const = MagicMock()\nconsts_mock.const.MINIO_ENDPOINT = \"http://localhost:9000\"\nconsts_mock.const.MINIO_ACCESS_KEY = \"test_access_key\"\nconsts_mock.const.MINIO_SECRET_KEY = \"test_secret_key\"\nconsts_mock.const.MINIO_REGION = \"us-east-1\"\nconsts_mock.const.MINIO_DEFAULT_BUCKET = \"test-bucket\"\nconsts_mock.const.POSTGRES_HOST = \"localhost\"\nconsts_mock.const.POSTGRES_USER = \"test_user\"\nconsts_mock.const.NEXENT_POSTGRES_PASSWORD = \"test_password\"\nconsts_mock.const.POSTGRES_DB = \"test_db\"\nconsts_mock.const.POSTGRES_PORT = 5432\nconsts_mock.const.DEFAULT_TENANT_ID = \"default_tenant\"\n\nsys.modules['consts'] = consts_mock\nsys.modules['consts.const'] = consts_mock.const\n\n# Mock exceptions module\nclass LimitExceededError(Exception):\n    pass\n\nclass UnauthorizedError(Exception):\n    pass\n\nexceptions_mock = MagicMock()\nexceptions_mock.LimitExceededError = LimitExceededError\nexceptions_mock.UnauthorizedError = UnauthorizedError\nsys.modules['consts.exceptions'] = exceptions_mock\nsys.modules['backend.consts.exceptions'] = exceptions_mock\n\n# Mock database client\nclient_mock = MagicMock()\nclient_mock.MinioClient = MagicMock()\nclient_mock.get_db_session = MagicMock()\nsys.modules['database.client'] = client_mock\nsys.modules['backend.database.client'] = client_mock\n\n# Mock token_db module\ntoken_db_mock = MagicMock()\ntoken_db_mock.log_token_usage = MagicMock(return_value=1)\ntoken_db_mock.get_latest_usage_metadata = MagicMock(return_value={\"query\": \"test\"})\nsys.modules['database.token_db'] = token_db_mock\nsys.modules['backend.database.token_db'] = token_db_mock\n\n# Mock conversation_db module\nconversation_db_mock = MagicMock()\nconversation_db_mock.get_conversation_messages = MagicMock(return_value=[\n    {\"message_role\": \"user\", \"message_content\": \"Hello\"}\n])\nsys.modules['database.conversation_db'] = conversation_db_mock\nsys.modules['backend.database.conversation_db'] = conversation_db_mock\n\n# Mock agent_service module\nagent_service_mock = MagicMock()\nagent_service_mock.run_agent_stream = AsyncMock()\nagent_service_mock.stop_agent_tasks = MagicMock(return_value={\"message\": \"stopped\"})\nagent_service_mock.list_all_agent_info_impl = AsyncMock(return_value=[{\"agent_id\": 1, \"name\": \"test_agent\"}])\nagent_service_mock.get_agent_id_by_name = AsyncMock(return_value=1)\nsys.modules['services.agent_service'] = agent_service_mock\nsys.modules['backend.services.agent_service'] = agent_service_mock\n\n# Mock conversation_management_service module\nconv_mgmt_mock = MagicMock()\nconv_mgmt_mock.save_conversation_user = MagicMock()\nconv_mgmt_mock.get_conversation_list_service = MagicMock(return_value=[\n    {\"conversation_id\": \"1\", \"title\": \"Test\"}\n])\nconv_mgmt_mock.create_new_conversation = MagicMock(return_value={\"conversation_id\": 123})\nconv_mgmt_mock.update_conversation_title_service = MagicMock()\nsys.modules['services.conversation_management_service'] = conv_mgmt_mock\nsys.modules['backend.services.conversation_management_service'] = conv_mgmt_mock\n\n# Mock consts.model\nconsts_model_mock = MagicMock()\nAgentRequest_mock = MagicMock()\nconsts_model_mock.AgentRequest = AgentRequest_mock\nsys.modules['consts.model'] = consts_model_mock\n\n# Mock database.db_models\ndb_models_mock = MagicMock()\nsys.modules['database.db_models'] = db_models_mock\n\n# Now import the module under test\nfrom backend.services import northbound_service as ns\n\n\nclass MockNorthboundContext:\n    \"\"\"Mock NorthboundContext for testing.\"\"\"\n    def __init__(self, request_id=\"req-123\", tenant_id=\"tenant-1\", user_id=\"user-1\",\n                 authorization=\"Bearer test\", token_id=0):\n        self.request_id = request_id\n        self.tenant_id = tenant_id\n        self.user_id = user_id\n        self.authorization = authorization\n        self.token_id = token_id\n\n\n@pytest.fixture(autouse=True)\ndef reset_test_isolation():\n    \"\"\"Reset test isolation state before each test.\"\"\"\n    # Clear idempotency state\n    ns._IDEMPOTENCY_RUNNING.clear()\n    # Reset mock call counts\n    token_db_mock.log_token_usage.reset_mock()\n    yield\n    # Cleanup after test\n    ns._IDEMPOTENCY_RUNNING.clear()\n\n\nclass TestNorthboundContext:\n    \"\"\"Tests for NorthboundContext dataclass.\"\"\"\n\n    def test_northbound_context_default_token_id(self):\n        \"\"\"Test that token_id defaults to 0.\"\"\"\n        ctx = ns.NorthboundContext(\n            request_id=\"req-1\",\n            tenant_id=\"tenant-1\",\n            user_id=\"user-1\",\n            authorization=\"Bearer test\"\n        )\n        assert ctx.token_id == 0\n\n    def test_northbound_context_with_token_id(self):\n        \"\"\"Test that token_id can be set.\"\"\"\n        ctx = ns.NorthboundContext(\n            request_id=\"req-1\",\n            tenant_id=\"tenant-1\",\n            user_id=\"user-1\",\n            authorization=\"Bearer test\",\n            token_id=123\n        )\n        assert ctx.token_id == 123\n\n\nclass TestBuildIdempotencyKey:\n    \"\"\"Tests for _build_idempotency_key function.\"\"\"\n\n    def test_build_idempotency_key_normal(self):\n        \"\"\"Test normal case.\"\"\"\n        key = ns._build_idempotency_key(\"tenant1\", \"123\", \"agent1\", \"query\")\n        assert \"tenant1\" in key\n        assert \"123\" in key\n\n    def test_build_idempotency_key_with_none(self):\n        \"\"\"Test with None values.\"\"\"\n        key = ns._build_idempotency_key(\"tenant1\", None, \"query\")\n        assert \"tenant1\" in key\n        # None values are converted to empty string\n        assert \"None\" not in key\n        # Should contain the empty string from None conversion\n        assert \"tenant1::\" in key or \":query\" in key\n\n    def test_build_idempotency_key_long_string(self):\n        \"\"\"Test with long string gets hashed.\"\"\"\n        long_string = \"a\" * 100\n        key = ns._build_idempotency_key(long_string)\n        # Should be hashed (not the full string)\n        assert len(key) < 100\n\n\n@pytest.mark.asyncio\nclass TestStartStreamingChat:\n    \"\"\"Tests for start_streaming_chat function.\"\"\"\n\n    async def test_start_streaming_chat_creates_conversation(self):\n        \"\"\"Test that new conversation is created when conversation_id is None.\"\"\"\n        ctx = MockNorthboundContext(token_id=1)\n\n        # Mock response\n        mock_response = MagicMock()\n        mock_response.headers = {}\n        agent_service_mock.run_agent_stream.return_value = mock_response\n\n        with patch.object(ns, 'check_and_consume_rate_limit', new_callable=AsyncMock):\n            with patch.object(ns, 'idempotency_start', new_callable=AsyncMock):\n                with patch.object(ns, 'get_conversation_history_internal', new_callable=AsyncMock) as mock_history:\n                    mock_history.return_value = {\"data\": {\"history\": []}}\n\n                    try:\n                        result = await ns.start_streaming_chat(\n                            ctx=ctx,\n                            conversation_id=None,\n                            agent_name=\"test_agent\",\n                            query=\"test query\"\n                        )\n                    except Exception:\n                        pass  # May fail due to other mocks\n\n                    # Verify create_new_conversation was called\n                    conv_mgmt_mock.create_new_conversation.assert_called()\n\n    async def test_start_streaming_chat_logs_token_usage(self):\n        \"\"\"Test that token usage is logged when token_id > 0.\"\"\"\n        ctx = MockNorthboundContext(token_id=1)\n\n        mock_response = MagicMock()\n        mock_response.headers = {}\n        agent_service_mock.run_agent_stream.return_value = mock_response\n\n        with patch.object(ns, 'check_and_consume_rate_limit', new_callable=AsyncMock):\n            with patch.object(ns, 'idempotency_start', new_callable=AsyncMock):\n                with patch.object(ns, 'idempotency_end', new_callable=AsyncMock):\n                    with patch.object(ns, 'get_conversation_history_internal', new_callable=AsyncMock) as mock_history:\n                        mock_history.return_value = {\"data\": {\"history\": []}}\n\n                        try:\n                            await ns.start_streaming_chat(\n                                ctx=ctx,\n                                conversation_id=123,\n                                agent_name=\"test_agent\",\n                                query=\"test query\",\n                                meta_data={\"key\": \"value\"}\n                            )\n                        except Exception:\n                            pass\n\n                        # Verify log_token_usage was called\n                        token_db_mock.log_token_usage.assert_called()\n\n\n@pytest.mark.asyncio\nclass TestStopChat:\n    \"\"\"Tests for stop_chat function.\"\"\"\n\n    async def test_stop_chat_success(self):\n        \"\"\"Test successful stop chat.\"\"\"\n        ctx = MockNorthboundContext(token_id=1)\n        agent_service_mock.stop_agent_tasks.return_value = {\"message\": \"stopped\"}\n\n        result = await ns.stop_chat(ctx=ctx, conversation_id=123)\n\n        assert result[\"message\"] == \"stopped\"\n        assert result[\"data\"] == 123\n\n    async def test_stop_chat_logs_token_usage(self):\n        \"\"\"Test that token usage is logged.\"\"\"\n        ctx = MockNorthboundContext(token_id=1)\n\n        await ns.stop_chat(ctx=ctx, conversation_id=123, meta_data={\"test\": \"data\"})\n\n        token_db_mock.log_token_usage.assert_called()\n\n\n@pytest.mark.asyncio\nclass TestListConversations:\n    \"\"\"Tests for list_conversations function.\"\"\"\n\n    async def test_list_conversations_success(self):\n        \"\"\"Test successful conversation listing.\"\"\"\n        ctx = MockNorthboundContext(token_id=0)  # No token_id, no metadata lookup\n\n        result = await ns.list_conversations(ctx=ctx)\n\n        assert result[\"message\"] == \"success\"\n        assert \"data\" in result\n\n    async def test_list_conversations_with_metadata(self):\n        \"\"\"Test that metadata is added when token_id > 0.\"\"\"\n        ctx = MockNorthboundContext(token_id=1)\n        token_db_mock.get_latest_usage_metadata.return_value = {\"query\": \"test query\"}\n\n        result = await ns.list_conversations(ctx=ctx)\n\n        # Should have called get_latest_usage_metadata\n        token_db_mock.get_latest_usage_metadata.assert_called()\n\n\n@pytest.mark.asyncio\nclass TestGetConversationHistory:\n    \"\"\"Tests for get_conversation_history function.\"\"\"\n\n    async def test_get_conversation_history_success(self):\n        \"\"\"Test successful history retrieval.\"\"\"\n        ctx = MockNorthboundContext(token_id=1)\n        conversation_db_mock.get_conversation_messages.return_value = [\n            {\"message_role\": \"user\", \"message_content\": \"Hello\"},\n            {\"message_role\": \"assistant\", \"message_content\": \"Hi there\"}\n        ]\n\n        result = await ns.get_conversation_history(ctx=ctx, conversation_id=123)\n\n        assert result[\"message\"] == \"success\"\n        assert \"data\" in result\n        assert \"history\" in result[\"data\"]\n\n\n@pytest.mark.asyncio\nclass TestGetConversationHistoryInternal:\n    \"\"\"Tests for get_conversation_history_internal function.\"\"\"\n\n    async def test_get_conversation_history_internal_success(self):\n        \"\"\"Test internal history retrieval without logging.\"\"\"\n        ctx = MockNorthboundContext(token_id=0)\n        conversation_db_mock.get_conversation_messages.return_value = [\n            {\"message_role\": \"user\", \"message_content\": \"Hello\"}\n        ]\n\n        result = await ns.get_conversation_history_internal(ctx=ctx, conversation_id=123)\n\n        assert result[\"message\"] == \"success\"\n        assert len(result[\"data\"][\"history\"]) == 1\n        assert result[\"data\"][\"history\"][0][\"role\"] == \"user\"\n\n    async def test_get_conversation_history_internal_no_logging(self):\n        \"\"\"Test that internal function does not log token usage.\"\"\"\n        ctx = MockNorthboundContext(token_id=1)\n        conversation_db_mock.get_conversation_messages.return_value = []\n\n        await ns.get_conversation_history_internal(ctx=ctx, conversation_id=123)\n\n        # Should NOT call log_token_usage\n        token_db_mock.log_token_usage.assert_not_called()\n\n\n@pytest.mark.asyncio\nclass TestGetAgentInfoList:\n    \"\"\"Tests for get_agent_info_list function.\"\"\"\n\n    async def test_get_agent_info_list_success(self):\n        \"\"\"Test successful agent info list retrieval.\"\"\"\n        ctx = MockNorthboundContext(token_id=1)\n        agent_service_mock.list_all_agent_info_impl.return_value = [\n            {\"agent_id\": 1, \"name\": \"test_agent\", \"description\": \"Test\"}\n        ]\n\n        result = await ns.get_agent_info_list(ctx=ctx)\n\n        assert result[\"message\"] == \"success\"\n        assert len(result[\"data\"]) == 1\n        # agent_id should be removed\n        assert \"agent_id\" not in result[\"data\"][0]\n\n\n@pytest.mark.asyncio\nclass TestUpdateConversationTitle:\n    \"\"\"Tests for update_conversation_title function.\"\"\"\n\n    async def test_update_conversation_title_success(self):\n        \"\"\"Test successful title update.\"\"\"\n        ctx = MockNorthboundContext(token_id=1)\n\n        result = await ns.update_conversation_title(\n            ctx=ctx,\n            conversation_id=123,\n            title=\"New Title\"\n        )\n\n        assert result[\"message\"] == \"success\"\n        assert result[\"data\"] == 123\n        assert \"idempotency_key\" in result\n\n    async def test_update_conversation_title_logs_token_usage(self):\n        \"\"\"Test that token usage is logged.\"\"\"\n        ctx = MockNorthboundContext(token_id=1)\n\n        await ns.update_conversation_title(\n            ctx=ctx,\n            conversation_id=123,\n            title=\"New Title\",\n            meta_data={\"source\": \"api\"}\n        )\n\n        token_db_mock.log_token_usage.assert_called()\n\n    async def test_update_conversation_title_idempotency_key(self):\n        \"\"\"Test that idempotency key is properly built.\"\"\"\n        ctx = MockNorthboundContext(tenant_id=\"tenant-1\", token_id=1)\n\n        result = await ns.update_conversation_title(\n            ctx=ctx,\n            conversation_id=123,\n            title=\"New Title\",\n            idempotency_key=\"custom-key\"\n        )\n\n        assert result[\"idempotency_key\"] == \"custom-key\"\n"
  },
  {
    "path": "test/backend/services/test_prompt_service.py",
    "content": "import json\nimport unittest\nfrom unittest.mock import patch, MagicMock\n\n# Mock boto3 and minio client before importing the module under test\nimport sys\nboto3_mock = MagicMock()\nsys.modules['boto3'] = boto3_mock\n\n# Mock ElasticSearch before importing other modules\nelasticsearch_mock = MagicMock()\nsys.modules['elasticsearch'] = elasticsearch_mock\n\n# Apply critical patches before importing any modules\n# This prevents real AWS/MinIO/Elasticsearch calls during import\npatch('botocore.client.BaseClient._make_api_call', return_value={}).start()\n\n# Patch storage factory and MinIO config validation to avoid errors during initialization\n# These patches must be started before any imports that use MinioClient\nstorage_client_mock = MagicMock()\nminio_client_mock = MagicMock()\nminio_client_mock._ensure_bucket_exists = MagicMock()\nminio_client_mock.client = MagicMock()\npatch('nexent.storage.storage_client_factory.create_storage_client_from_config', return_value=storage_client_mock).start()\npatch('nexent.storage.minio_config.MinIOStorageConfig.validate', lambda self: None).start()\npatch('backend.database.client.MinioClient', return_value=minio_client_mock).start()\npatch('database.client.MinioClient', return_value=minio_client_mock).start()\npatch('backend.database.client.minio_client', minio_client_mock).start()\npatch('nexent.vector_database.elasticsearch_core.ElasticSearchCore', return_value=MagicMock()).start()\npatch('nexent.vector_database.elasticsearch_core.Elasticsearch', return_value=MagicMock()).start()\npatch('elasticsearch.Elasticsearch', return_value=MagicMock()).start()\n\nfrom jinja2 import StrictUndefined\n\nfrom backend.services.prompt_service import (\n    generate_and_save_system_prompt_impl,\n    gen_system_prompt_streamable,\n    generate_system_prompt,\n    join_info_for_generate_system_prompt\n)\n\n\nclass TestPromptService(unittest.TestCase):\n\n    def setUp(self):\n        # Reset all mocks before each test\n        minio_client_mock.reset_mock()\n        self.test_model_id = 1\n\n    @patch('backend.services.prompt_service.generate_system_prompt')\n    @patch('backend.services.prompt_service.query_tools_by_ids')\n    @patch('backend.services.prompt_service.search_agent_info_by_agent_id')\n    @patch('backend.services.prompt_service.query_all_agent_info_by_tenant_id')\n    def test_generate_and_save_system_prompt_impl(\n        self,\n        mock_query_all_agents,\n        mock_search_agent_info,\n        mock_query_tools,\n        mock_generate_system_prompt,\n    ):\n        # Setup\n        mock_tool1 = {\"name\": \"tool1\", \"description\": \"Tool 1 desc\",\n                      \"inputs\": \"input1\", \"output_type\": \"output1\"}\n        mock_tool2 = {\"name\": \"tool2\", \"description\": \"Tool 2 desc\",\n                      \"inputs\": \"input2\", \"output_type\": \"output2\"}\n        mock_query_tools.return_value = [mock_tool1, mock_tool2]\n        # No existing agents so that duplicate detection path is not triggered\n        mock_query_all_agents.return_value = []\n\n        mock_agent1 = {\"name\": \"agent1\", \"description\": \"Agent 1 desc\"}\n        mock_agent2 = {\"name\": \"agent2\", \"description\": \"Agent 2 desc\"}\n        mock_search_agent_info.side_effect = [mock_agent1, mock_agent2]\n\n        # Mock the generator to return the expected data structure\n        def mock_generator(*args, **kwargs):\n            yield {\"type\": \"duty\", \"content\": \"Generated duty prompt\", \"is_complete\": False}\n            yield {\"type\": \"constraint\", \"content\": \"Generated constraint prompt\", \"is_complete\": False}\n            yield {\"type\": \"few_shots\", \"content\": \"Generated few shots prompt\", \"is_complete\": False}\n            yield {\"type\": \"agent_var_name\", \"content\": \"test_agent\", \"is_complete\": True}\n            yield {\"type\": \"agent_display_name\", \"content\": \"Test Agent\", \"is_complete\": True}\n            yield {\"type\": \"agent_description\", \"content\": \"Test agent description\", \"is_complete\": True}\n            yield {\"type\": \"duty\", \"content\": \"Final duty prompt\", \"is_complete\": True}\n            yield {\"type\": \"constraint\", \"content\": \"Final constraint prompt\", \"is_complete\": True}\n            yield {\"type\": \"few_shots\", \"content\": \"Final few shots prompt\", \"is_complete\": True}\n\n        mock_generate_system_prompt.side_effect = mock_generator\n\n        # Execute - test as a generator with frontend-provided IDs\n        result_gen = generate_and_save_system_prompt_impl(\n            agent_id=123,\n            model_id=self.test_model_id,\n            task_description=\"Test task\",\n            user_id=\"user123\",\n            tenant_id=\"tenant456\",\n            language=\"zh\",\n            tool_ids=[1, 2],\n            sub_agent_ids=[10, 20]\n        )\n        result = list(result_gen)  # Convert generator to list for assertion\n\n        # Assert\n        self.assertGreater(len(result), 0)\n\n        # Verify tools and agents were queried using frontend-provided IDs\n        mock_query_tools.assert_called_once_with([1, 2])\n        self.assertEqual(mock_search_agent_info.call_count, 2)\n        mock_search_agent_info.assert_any_call(agent_id=10, tenant_id=\"tenant456\")\n        mock_search_agent_info.assert_any_call(agent_id=20, tenant_id=\"tenant456\")\n\n        # Verify generate_system_prompt was called with correct parameters\n        mock_generate_system_prompt.assert_called_once()\n        call_args = mock_generate_system_prompt.call_args\n        self.assertEqual(call_args[0][0], [mock_agent1, mock_agent2])  # sub_agent_info_list\n        self.assertEqual(call_args[0][1], \"Test task\")  # task_description\n        self.assertEqual(call_args[0][2], [mock_tool1, mock_tool2])  # tool_info_list\n\n    @patch('backend.services.prompt_service.generate_system_prompt')\n    @patch('backend.services.prompt_service.query_all_agent_info_by_tenant_id')\n    @patch('backend.services.prompt_service.get_enabled_sub_agent_description_for_generate_prompt')\n    @patch('backend.services.prompt_service.get_enabled_tool_description_for_generate_prompt')\n    def test_generate_and_save_system_prompt_impl_create_mode(\n        self,\n        mock_get_enabled_tools,\n        mock_get_enabled_sub_agents,\n        mock_query_all_agents,\n        mock_generate_system_prompt,\n    ):\n        \"\"\"Test generate_and_save_system_prompt_impl in create mode (agent_id=0)\"\"\"\n        # Setup - Mock the generator to return the expected data structure\n        def mock_generator(*args, **kwargs):\n            yield {\"type\": \"duty\", \"content\": \"Generated duty prompt\", \"is_complete\": False}\n            yield {\"type\": \"constraint\", \"content\": \"Generated constraint prompt\", \"is_complete\": False}\n            yield {\"type\": \"few_shots\", \"content\": \"Generated few shots prompt\", \"is_complete\": False}\n            yield {\"type\": \"agent_var_name\", \"content\": \"test_agent\", \"is_complete\": True}\n            yield {\"type\": \"agent_display_name\", \"content\": \"Test Agent\", \"is_complete\": True}\n            yield {\"type\": \"agent_description\", \"content\": \"Test agent description\", \"is_complete\": True}\n            yield {\"type\": \"duty\", \"content\": \"Final duty prompt\", \"is_complete\": True}\n            yield {\"type\": \"constraint\", \"content\": \"Final constraint prompt\", \"is_complete\": True}\n            yield {\"type\": \"few_shots\", \"content\": \"Final few shots prompt\", \"is_complete\": True}\n\n        mock_generate_system_prompt.side_effect = mock_generator\n        # Simulate no existing agents (no duplicates)\n        mock_query_all_agents.return_value = []\n        # Simulate back-end enabled tools / sub-agents when IDs are empty\n        enabled_tools = [{\"name\": \"db_tool\", \"description\": \"DB tool\"}]\n        enabled_sub_agents = [{\"name\": \"db_agent\", \"description\": \"DB agent\"}]\n        mock_get_enabled_tools.return_value = enabled_tools\n        mock_get_enabled_sub_agents.return_value = enabled_sub_agents\n\n        # Execute - test as a generator with agent_id=0 (create mode) and empty tool/sub-agent IDs\n        result_gen = generate_and_save_system_prompt_impl(\n            agent_id=0,\n            model_id=self.test_model_id,\n            task_description=\"Test task\",\n            user_id=\"user123\",\n            tenant_id=\"tenant456\",\n            language=\"zh\",\n            tool_ids=[],\n            sub_agent_ids=[]\n        )\n        result = list(result_gen)  # Convert generator to list for assertion\n\n        # Assert\n        self.assertGreater(len(result), 0)\n\n        # Should call generate_system_prompt with back-end enabled tools and sub-agents\n        mock_generate_system_prompt.assert_called_once_with(\n            enabled_sub_agents,  # sub_agent_info_list from helper\n            \"Test task\",\n            enabled_tools,  # tool_info_list from helper\n            \"tenant456\",\n            self.test_model_id,\n            \"zh\"\n        )\n\n    @patch('backend.services.prompt_service._regenerate_agent_display_name_with_llm')\n    @patch('backend.services.prompt_service._regenerate_agent_name_with_llm')\n    @patch('backend.services.prompt_service._check_agent_display_name_duplicate')\n    @patch('backend.services.prompt_service._check_agent_name_duplicate')\n    @patch('backend.services.prompt_service.query_all_agent_info_by_tenant_id')\n    @patch('backend.services.prompt_service.generate_system_prompt')\n    @patch('backend.services.prompt_service.query_tools_by_ids')\n    @patch('backend.services.prompt_service.search_agent_info_by_agent_id')\n    def test_generate_and_save_system_prompt_impl_duplicate_names_regenerated(\n        self,\n        mock_search_agent_info,\n        mock_query_tools,\n        mock_generate_system_prompt,\n        mock_query_all_agents,\n        mock_check_name_dup,\n        mock_check_display_dup,\n        mock_regen_name,\n        mock_regen_display,\n    ):\n        \"\"\"Duplicate agent_var_name / agent_display_name should be regenerated via LLM helpers.\"\"\"\n        # Tool and sub-agent info do not matter for this test\n        mock_query_tools.return_value = []\n        mock_search_agent_info.return_value = {}\n        mock_query_all_agents.return_value = [\n            {\"agent_id\": 1, \"name\": \"dup\", \"display_name\": \"Dup Display\"}\n        ]\n\n        # Force duplicate detection\n        mock_check_name_dup.return_value = True\n        mock_check_display_dup.return_value = True\n\n        # Regenerated values\n        mock_regen_name.return_value = \"regen_var\"\n        mock_regen_display.return_value = \"Regen Display\"\n\n        # Mock generator output from generate_system_prompt\n        def mock_gen(*args, **kwargs):\n            yield {\"type\": \"agent_var_name\", \"content\": \"dup\", \"is_complete\": True}\n            yield {\"type\": \"agent_display_name\", \"content\": \"Dup Display\", \"is_complete\": True}\n\n        mock_generate_system_prompt.side_effect = mock_gen\n\n        result = list(generate_and_save_system_prompt_impl(\n            agent_id=123,\n            model_id=1,\n            task_description=\"Task\",\n            user_id=\"u\",\n            tenant_id=\"t\",\n            language=\"zh\",\n            tool_ids=[1],\n            sub_agent_ids=[10],\n        ))\n\n        # Should yield regenerated names\n        var_items = [r for r in result if r[\"type\"] == \"agent_var_name\"]\n        disp_items = [r for r in result if r[\"type\"] == \"agent_display_name\"]\n        self.assertEqual(var_items[0][\"content\"], \"regen_var\")\n        self.assertEqual(disp_items[0][\"content\"], \"Regen Display\")\n\n        mock_regen_name.assert_called_once()\n        mock_regen_display.assert_called_once()\n\n    @patch('backend.services.prompt_service._generate_unique_display_name_with_suffix')\n    @patch('backend.services.prompt_service._generate_unique_agent_name_with_suffix')\n    @patch('backend.services.prompt_service._regenerate_agent_display_name_with_llm')\n    @patch('backend.services.prompt_service._regenerate_agent_name_with_llm')\n    @patch('backend.services.prompt_service._check_agent_display_name_duplicate')\n    @patch('backend.services.prompt_service._check_agent_name_duplicate')\n    @patch('backend.services.prompt_service.query_all_agent_info_by_tenant_id')\n    @patch('backend.services.prompt_service.generate_system_prompt')\n    @patch('backend.services.prompt_service.query_tools_by_ids')\n    @patch('backend.services.prompt_service.search_agent_info_by_agent_id')\n    def test_generate_and_save_system_prompt_impl_duplicate_names_fallback_suffix(\n        self,\n        mock_search_agent_info,\n        mock_query_tools,\n        mock_generate_system_prompt,\n        mock_query_all_agents,\n        mock_check_name_dup,\n        mock_check_display_dup,\n        mock_regen_name,\n        mock_regen_display,\n        mock_generate_unique_name,\n        mock_generate_unique_display,\n    ):\n        \"\"\"When regeneration fails, duplicate names should fall back to suffix helpers.\"\"\"\n        mock_query_tools.return_value = []\n        mock_search_agent_info.return_value = {}\n        mock_query_all_agents.return_value = [\n            {\"agent_id\": 1, \"name\": \"dup\", \"display_name\": \"Dup Display\"}\n        ]\n\n        mock_check_name_dup.return_value = True\n        mock_check_display_dup.return_value = True\n\n        # Force LLM regeneration failure\n        mock_regen_name.side_effect = Exception(\"llm error\")\n        mock_regen_display.side_effect = Exception(\"llm error\")\n\n        mock_generate_unique_name.return_value = \"uniq_var\"\n        mock_generate_unique_display.return_value = \"Uniq Display\"\n\n        def mock_gen(*args, **kwargs):\n            yield {\"type\": \"agent_var_name\", \"content\": \"dup\", \"is_complete\": True}\n            yield {\"type\": \"agent_display_name\", \"content\": \"Dup Display\", \"is_complete\": True}\n\n        mock_generate_system_prompt.side_effect = mock_gen\n\n        result = list(generate_and_save_system_prompt_impl(\n            agent_id=123,\n            model_id=1,\n            task_description=\"Task\",\n            user_id=\"u\",\n            tenant_id=\"t\",\n            language=\"zh\",\n            tool_ids=[1],\n            sub_agent_ids=[10],\n        ))\n\n        var_items = [r for r in result if r[\"type\"] == \"agent_var_name\"]\n        disp_items = [r for r in result if r[\"type\"] == \"agent_display_name\"]\n        self.assertEqual(var_items[0][\"content\"], \"uniq_var\")\n        self.assertEqual(disp_items[0][\"content\"], \"Uniq Display\")\n\n        mock_generate_unique_name.assert_called_once()\n        mock_generate_unique_display.assert_called_once()\n\n    @patch('backend.services.prompt_service._check_agent_display_name_duplicate')\n    @patch('backend.services.prompt_service._check_agent_name_duplicate')\n    @patch('backend.services.prompt_service.query_all_agent_info_by_tenant_id')\n    @patch('backend.services.prompt_service.generate_system_prompt')\n    @patch('backend.services.prompt_service.query_tools_by_ids')\n    @patch('backend.services.prompt_service.search_agent_info_by_agent_id')\n    def test_generate_and_save_system_prompt_impl_name_fields_incomplete(\n        self,\n        mock_search_agent_info,\n        mock_query_tools,\n        mock_generate_system_prompt,\n        mock_query_all_agents,\n        mock_check_name_dup,\n        mock_check_display_dup,\n    ):\n        \"\"\"When agent_var_name or agent_display_name is_complete is False, skip duplicate checking (line 193 else branch).\"\"\"\n        # Setup\n        mock_query_tools.return_value = []\n        mock_search_agent_info.return_value = {}\n        mock_query_all_agents.return_value = []\n\n        # Mock generator output with incomplete name fields first, then complete ones\n        def mock_gen(*args, **kwargs):\n            yield {\"type\": \"duty\", \"content\": \"duty content\", \"is_complete\": False}\n            # Incomplete name fields - should not trigger duplicate checking (line 193 condition is False)\n            yield {\"type\": \"agent_var_name\", \"content\": \"test_agent\", \"is_complete\": False}\n            yield {\"type\": \"agent_display_name\", \"content\": \"Test Agent\", \"is_complete\": False}\n            # Complete name fields - should trigger duplicate checking (line 193 condition is True)\n            yield {\"type\": \"agent_var_name\", \"content\": \"test_agent_final\", \"is_complete\": True}\n            yield {\"type\": \"agent_display_name\", \"content\": \"Test Agent Final\", \"is_complete\": True}\n\n        mock_generate_system_prompt.side_effect = mock_gen\n        mock_check_name_dup.return_value = False\n        mock_check_display_dup.return_value = False\n\n        # Execute\n        result = list(generate_and_save_system_prompt_impl(\n            agent_id=123,\n            model_id=1,\n            task_description=\"Task\",\n            user_id=\"u\",\n            tenant_id=\"t\",\n            language=\"zh\",\n            tool_ids=[1],\n            sub_agent_ids=[10],\n        ))\n\n        # Assert - incomplete name fields should NOT be yielded (they are skipped)\n        # Only complete name fields should be yielded\n        var_items = [r for r in result if r[\"type\"] == \"agent_var_name\"]\n        disp_items = [r for r in result if r[\"type\"] == \"agent_display_name\"]\n        \n        # Should only have complete items (incomplete ones are not yielded)\n        self.assertEqual(len(var_items), 1)\n        self.assertEqual(len(disp_items), 1)\n        self.assertTrue(var_items[0].get(\"is_complete\", False))\n        self.assertTrue(disp_items[0].get(\"is_complete\", False))\n        \n        # Duplicate checking should only be called for complete items\n        mock_check_name_dup.assert_called_once()\n        mock_check_display_dup.assert_called_once()\n\n    @patch('backend.services.prompt_service._check_agent_display_name_duplicate')\n    @patch('backend.services.prompt_service._check_agent_name_duplicate')\n    @patch('backend.services.prompt_service.query_all_agent_info_by_tenant_id')\n    @patch('backend.services.prompt_service.generate_system_prompt')\n    @patch('backend.services.prompt_service.query_tools_by_ids')\n    @patch('backend.services.prompt_service.search_agent_info_by_agent_id')\n    def test_generate_and_save_system_prompt_impl_display_name_complete_no_duplicate(\n        self,\n        mock_search_agent_info,\n        mock_query_tools,\n        mock_generate_system_prompt,\n        mock_query_all_agents,\n        mock_check_name_dup,\n        mock_check_display_dup,\n    ):\n        \"\"\"Test agent_display_name path when is_complete is True and no duplicate (line 235).\"\"\"\n        # Setup\n        mock_query_tools.return_value = []\n        mock_search_agent_info.return_value = {}\n        mock_query_all_agents.return_value = []\n        mock_check_name_dup.return_value = False\n        mock_check_display_dup.return_value = False\n\n        # Mock generator output - only display_name with is_complete=True to test line 235\n        def mock_gen(*args, **kwargs):\n            yield {\"type\": \"duty\", \"content\": \"duty content\", \"is_complete\": True}\n            yield {\"type\": \"agent_display_name\", \"content\": \"Test Agent\", \"is_complete\": True}\n\n        mock_generate_system_prompt.side_effect = mock_gen\n\n        # Execute\n        result = list(generate_and_save_system_prompt_impl(\n            agent_id=123,\n            model_id=1,\n            task_description=\"Task\",\n            user_id=\"u\",\n            tenant_id=\"t\",\n            language=\"zh\",\n            tool_ids=[1],\n            sub_agent_ids=[10],\n        ))\n\n        # Assert - should yield display_name without regeneration (no duplicate)\n        disp_items = [r for r in result if r[\"type\"] == \"agent_display_name\"]\n        self.assertEqual(len(disp_items), 1)\n        self.assertEqual(disp_items[0][\"content\"], \"Test Agent\")\n        self.assertTrue(disp_items[0].get(\"is_complete\", False))\n        \n        # Should check for duplicate but not regenerate\n        mock_check_display_dup.assert_called_once()\n\n    @patch('backend.services.prompt_service._generate_unique_display_name_with_suffix')\n    @patch('backend.services.prompt_service._regenerate_agent_display_name_with_llm')\n    @patch('backend.services.prompt_service._check_agent_display_name_duplicate')\n    @patch('backend.services.prompt_service._check_agent_name_duplicate')\n    @patch('backend.services.prompt_service.query_all_agent_info_by_tenant_id')\n    @patch('backend.services.prompt_service.generate_system_prompt')\n    @patch('backend.services.prompt_service.query_tools_by_ids')\n    @patch('backend.services.prompt_service.search_agent_info_by_agent_id')\n    def test_generate_and_save_system_prompt_impl_display_name_complete_with_duplicate(\n        self,\n        mock_search_agent_info,\n        mock_query_tools,\n        mock_generate_system_prompt,\n        mock_query_all_agents,\n        mock_check_name_dup,\n        mock_check_display_dup,\n        mock_regen_display,\n        mock_generate_unique_display,\n    ):\n        \"\"\"Test agent_display_name path when is_complete is True and duplicate exists, regenerates with LLM (line 235-250).\"\"\"\n        # Setup\n        mock_query_tools.return_value = []\n        mock_search_agent_info.return_value = {}\n        mock_query_all_agents.return_value = [{\"display_name\": \"Test Agent\", \"agent_id\": 999}]\n        mock_check_name_dup.return_value = False\n        mock_check_display_dup.return_value = True  # Duplicate exists\n        mock_regen_display.return_value = \"Regenerated Display Name\"\n        mock_generate_unique_display.return_value = \"fallback_display_1\"\n\n        # Mock generator output - display_name with is_complete=True to test line 235\n        def mock_gen(*args, **kwargs):\n            yield {\"type\": \"duty\", \"content\": \"duty content\", \"is_complete\": True}\n            yield {\"type\": \"agent_display_name\", \"content\": \"Test Agent\", \"is_complete\": True}\n\n        mock_generate_system_prompt.side_effect = mock_gen\n\n        # Execute\n        result = list(generate_and_save_system_prompt_impl(\n            agent_id=123,\n            model_id=1,\n            task_description=\"Task\",\n            user_id=\"u\",\n            tenant_id=\"t\",\n            language=\"zh\",\n            tool_ids=[1],\n            sub_agent_ids=[10],\n        ))\n\n        # Assert - should yield regenerated display_name\n        disp_items = [r for r in result if r[\"type\"] == \"agent_display_name\"]\n        self.assertEqual(len(disp_items), 1)\n        self.assertEqual(disp_items[0][\"content\"], \"Regenerated Display Name\")\n        self.assertTrue(disp_items[0].get(\"is_complete\", False))\n        \n        # Should check for duplicate and regenerate\n        mock_check_display_dup.assert_called_once()\n        mock_regen_display.assert_called_once()\n\n    @patch('backend.services.prompt_service._generate_unique_display_name_with_suffix')\n    @patch('backend.services.prompt_service._regenerate_agent_display_name_with_llm')\n    @patch('backend.services.prompt_service._check_agent_display_name_duplicate')\n    @patch('backend.services.prompt_service._check_agent_name_duplicate')\n    @patch('backend.services.prompt_service.query_all_agent_info_by_tenant_id')\n    @patch('backend.services.prompt_service.generate_system_prompt')\n    @patch('backend.services.prompt_service.query_tools_by_ids')\n    @patch('backend.services.prompt_service.search_agent_info_by_agent_id')\n    def test_generate_and_save_system_prompt_impl_display_name_llm_failure_fallback(\n        self,\n        mock_search_agent_info,\n        mock_query_tools,\n        mock_generate_system_prompt,\n        mock_query_all_agents,\n        mock_check_name_dup,\n        mock_check_display_dup,\n        mock_regen_display,\n        mock_generate_unique_display,\n    ):\n        \"\"\"Test agent_display_name path when is_complete is True, duplicate exists, LLM regeneration fails, uses fallback (line 235-250).\"\"\"\n        # Setup\n        mock_query_tools.return_value = []\n        mock_search_agent_info.return_value = {}\n        mock_query_all_agents.return_value = [{\"display_name\": \"Test Agent\", \"agent_id\": 999}]\n        mock_check_name_dup.return_value = False\n        mock_check_display_dup.return_value = True  # Duplicate exists\n        mock_regen_display.side_effect = Exception(\"LLM failed\")\n        mock_generate_unique_display.return_value = \"fallback_display_2\"\n\n        # Mock generator output - display_name with is_complete=True to test line 235\n        def mock_gen(*args, **kwargs):\n            yield {\"type\": \"duty\", \"content\": \"duty content\", \"is_complete\": True}\n            yield {\"type\": \"agent_display_name\", \"content\": \"Test Agent\", \"is_complete\": True}\n\n        mock_generate_system_prompt.side_effect = mock_gen\n\n        # Execute\n        result = list(generate_and_save_system_prompt_impl(\n            agent_id=123,\n            model_id=1,\n            task_description=\"Task\",\n            user_id=\"u\",\n            tenant_id=\"t\",\n            language=\"zh\",\n            tool_ids=[1],\n            sub_agent_ids=[10],\n        ))\n\n        # Assert - should yield fallback display_name\n        disp_items = [r for r in result if r[\"type\"] == \"agent_display_name\"]\n        self.assertEqual(len(disp_items), 1)\n        self.assertEqual(disp_items[0][\"content\"], \"fallback_display_2\")\n        self.assertTrue(disp_items[0].get(\"is_complete\", False))\n        \n        # Should check for duplicate, try LLM regeneration, then use fallback\n        mock_check_display_dup.assert_called_once()\n        mock_regen_display.assert_called_once()\n        mock_generate_unique_display.assert_called_once()\n\n    @patch('backend.services.prompt_service.generate_and_save_system_prompt_impl')\n    def test_gen_system_prompt_streamable(self, mock_generate_impl):\n        \"\"\"Test gen_system_prompt_streamable function\"\"\"\n        # Setup mock data\n        test_data = [\n            {\"type\": \"duty\", \"content\": \"Test duty prompt\", \"is_complete\": False},\n            {\"type\": \"constraint\", \"content\": \"Test constraint prompt\",\n                \"is_complete\": False},\n            {\"type\": \"few_shots\", \"content\": \"Test few shots prompt\", \"is_complete\": True},\n        ]\n        mock_generate_impl.return_value = iter(test_data)\n\n        # Execute - collect results from the generator\n        result_list = []\n        for result in gen_system_prompt_streamable(\n            agent_id=123,\n            model_id=self.test_model_id,\n            task_description=\"Test task\",\n            user_id=\"user123\",\n            tenant_id=\"tenant456\",\n            language=\"zh\"\n        ):\n            result_list.append(result)\n\n        # Assert\n        # Verify generate_and_save_system_prompt_impl was called with correct parameters\n        mock_generate_impl.assert_called_once_with(\n            agent_id=123,\n            model_id=self.test_model_id,\n            task_description=\"Test task\",\n            user_id=\"user123\",\n            tenant_id=\"tenant456\",\n            language=\"zh\",\n            tool_ids=None,\n            sub_agent_ids=None,\n        )\n\n        # Verify output format - should be SSE format\n        self.assertEqual(len(result_list), 3)\n        for i, result in enumerate(result_list):\n            expected_data = f\"data: {json.dumps({'success': True, 'data': test_data[i]}, ensure_ascii=False)}\\n\\n\"\n            self.assertEqual(result, expected_data)\n\n    @patch('backend.services.prompt_service.call_llm_for_system_prompt')\n    @patch('backend.services.prompt_service.join_info_for_generate_system_prompt')\n    @patch('backend.services.prompt_service.get_prompt_generate_prompt_template')\n    def test_generate_system_prompt(self, mock_get_prompt_template, mock_join_info, mock_call_llm):\n        # Setup\n        mock_prompt_config = {\n            \"USER_PROMPT\": \"Test user prompt template\",\n            \"DUTY_SYSTEM_PROMPT\": \"Generate duty prompt\",\n            \"CONSTRAINT_SYSTEM_PROMPT\": \"Generate constraint prompt\",\n            \"FEW_SHOTS_SYSTEM_PROMPT\": \"Generate few shots prompt\",\n            \"AGENT_VARIABLE_NAME_SYSTEM_PROMPT\": \"Generate agent var name\",\n            \"AGENT_DISPLAY_NAME_SYSTEM_PROMPT\": \"Generate agent display name\",\n            \"AGENT_DESCRIPTION_SYSTEM_PROMPT\": \"Generate agent description\"\n        }\n        mock_get_prompt_template.return_value = mock_prompt_config\n\n        mock_join_info.return_value = \"Joined template content\"\n\n        # Mock call_llm_for_system_prompt to simulate streaming responses\n        def mock_llm_call(model_id, content, sys_prompt, callback, tenant_id):\n            # Simulate different responses based on system prompt\n            if \"duty\" in sys_prompt.lower():\n                if callback:\n                    callback(\"Duty prompt part 1\")\n                    callback(\"Duty prompt part 1 part 2\")\n                return \"Duty prompt part 1 part 2\"\n            elif \"constraint\" in sys_prompt.lower():\n                if callback:\n                    callback(\"Constraint prompt part 1\")\n                    callback(\"Constraint prompt part 1 part 2\")\n                return \"Constraint prompt part 1 part 2\"\n            elif \"few_shots\" in sys_prompt.lower():\n                if callback:\n                    callback(\"Few shots prompt part 1\")\n                    callback(\"Few shots prompt part 1 part 2\")\n                return \"Few shots prompt part 1 part 2\"\n            elif \"variable_name\" in sys_prompt.lower():\n                if callback:\n                    callback(\"test_agent\")\n                return \"test_agent\"\n            elif \"display_name\" in sys_prompt.lower():\n                if callback:\n                    callback(\"Test Agent\")\n                return \"Test Agent\"\n            elif \"description\" in sys_prompt.lower():\n                if callback:\n                    callback(\"Test agent description\")\n                return \"Test agent description\"\n            return \"Default response\"\n\n        mock_call_llm.side_effect = mock_llm_call\n\n        # Test data\n        mock_sub_agents = [{\"name\": \"agent1\", \"description\": \"Agent 1\"}]\n        mock_task_description = \"Test task\"\n        mock_tools = [{\"name\": \"tool1\", \"description\": \"Tool 1\"}]\n        mock_tenant_id = \"test_tenant\"\n        mock_language = \"zh\"\n\n        # Execute - collect all results from the generator\n        result_list = []\n        for result in generate_system_prompt(\n            mock_sub_agents,\n            mock_task_description,\n            mock_tools,\n            mock_tenant_id,\n            self.test_model_id,\n            mock_language\n        ):\n            result_list.append(result)\n\n        # Assert\n        # Verify template loading\n        mock_get_prompt_template.assert_called_once_with(mock_language)\n\n        # Verify template joining\n        mock_join_info.assert_called_once_with(\n            prompt_for_generate=mock_prompt_config,\n            sub_agent_info_list=mock_sub_agents,\n            task_description=mock_task_description,\n            tool_info_list=mock_tools,\n            language=mock_language\n        )\n\n        # Verify LLM calls - should be called 6 times for each prompt type\n        self.assertEqual(mock_call_llm.call_count, 6)\n\n        # Verify that results contain the expected structure\n        # Should have streaming results and final results\n        self.assertGreater(len(result_list), 0)\n\n        # Check that we get results for all expected types\n        result_types = [r[\"type\"] for r in result_list]\n        expected_types = [\"duty\", \"constraint\", \"few_shots\",\n                          \"agent_var_name\", \"agent_display_name\", \"agent_description\"]\n\n        for expected_type in expected_types:\n            self.assertIn(expected_type, result_types,\n                          f\"Missing result type: {expected_type}\")\n\n        # Check that all final results are marked as complete\n        final_results = [r for r in result_list if r.get(\"is_complete\", False)]\n        final_types = [r[\"type\"] for r in final_results]\n\n        for expected_type in expected_types:\n            self.assertIn(expected_type, final_types,\n                          f\"Missing final result for type: {expected_type}\")\n\n        # Verify content structure\n        for result in result_list:\n            self.assertIn(\"type\", result)\n            self.assertIn(\"content\", result)\n            self.assertIn(\"is_complete\", result)\n            self.assertIsInstance(result[\"is_complete\"], bool)\n            self.assertIsInstance(result[\"content\"], str)\n\n    @patch('backend.services.prompt_service.call_llm_for_system_prompt')\n    @patch('backend.services.prompt_service.join_info_for_generate_system_prompt')\n    @patch('backend.services.prompt_service.get_prompt_generate_prompt_template')\n    def test_generate_system_prompt_with_exception(self, mock_get_prompt_template, mock_join_info, mock_call_llm):\n        # Setup\n        mock_prompt_config = {\n            \"USER_PROMPT\": \"Test user prompt template\",\n            \"DUTY_SYSTEM_PROMPT\": \"Generate duty prompt\",\n            \"CONSTRAINT_SYSTEM_PROMPT\": \"Generate constraint prompt\",\n            \"FEW_SHOTS_SYSTEM_PROMPT\": \"Generate few shots prompt\",\n            \"AGENT_VARIABLE_NAME_SYSTEM_PROMPT\": \"Generate agent var name\",\n            \"AGENT_DISPLAY_NAME_SYSTEM_PROMPT\": \"Generate agent display name\",\n            \"AGENT_DESCRIPTION_SYSTEM_PROMPT\": \"Generate agent description\"\n        }\n        mock_get_prompt_template.return_value = mock_prompt_config\n        mock_join_info.return_value = \"Joined template content\"\n\n        # Mock call_llm_for_system_prompt to raise exception for one prompt type\n        def mock_llm_call_with_exception(model_id, content, sys_prompt, callback, tenant_id):\n            if \"duty\" in sys_prompt.lower():\n                raise Exception(\"LLM error for duty prompt\")\n            elif \"constraint\" in sys_prompt.lower():\n                if callback:\n                    callback(\"Constraint prompt\")\n                return \"Constraint prompt\"\n            else:\n                if callback:\n                    callback(\"Other prompt\")\n                return \"Other prompt\"\n\n        mock_call_llm.side_effect = mock_llm_call_with_exception\n\n        # Test data\n        mock_sub_agents = [{\"name\": \"agent1\", \"description\": \"Agent 1\"}]\n        mock_task_description = \"Test task\"\n        mock_tools = [{\"name\": \"tool1\", \"description\": \"Tool 1\"}]\n        mock_tenant_id = \"test_tenant\"\n        mock_language = \"en\"\n\n        # Execute - exception should be raised (this tests the error propagation behavior)\n        with self.assertRaises(Exception) as context:\n            for result in generate_system_prompt(\n                mock_sub_agents,\n                mock_task_description,\n                mock_tools,\n                mock_tenant_id,\n                self.test_model_id,\n                mock_language\n            ):\n                pass  # Consume the generator to trigger the exception\n\n        # Assert - exception message should be present\n        self.assertIn(\"LLM error\", str(context.exception))\n\n    @patch('backend.services.prompt_service.Template')\n    def test_join_info_for_generate_system_prompt(self, mock_template):\n        # Setup\n        mock_prompt_for_generate = {\"USER_PROMPT\": \"Test User Prompt\"}\n        mock_sub_agents = [\n            {\"name\": \"agent1\", \"description\": \"Agent 1 desc\"},\n            {\"name\": \"agent2\", \"description\": \"Agent 2 desc\"}\n        ]\n        mock_task_description = \"Test task\"\n        mock_tools = [\n            {\"name\": \"tool1\", \"description\": \"Tool 1 desc\",\n                \"inputs\": \"input1\", \"output_type\": \"output1\"},\n            {\"name\": \"tool2\", \"description\": \"Tool 2 desc\",\n                \"inputs\": \"input2\", \"output_type\": \"output2\"}\n        ]\n\n        mock_template_instance = MagicMock()\n        mock_template.return_value = mock_template_instance\n        mock_template_instance.render.return_value = \"Rendered content\"\n\n        # Execute\n        result = join_info_for_generate_system_prompt(\n            mock_prompt_for_generate, mock_sub_agents, mock_task_description, mock_tools\n        )\n\n        # Assert\n        self.assertEqual(result, \"Rendered content\")\n        mock_template.assert_called_once_with(\n            mock_prompt_for_generate[\"USER_PROMPT\"], undefined=StrictUndefined)\n        mock_template_instance.render.assert_called_once()\n        # Check template variables\n        template_vars = mock_template_instance.render.call_args[0][0]\n        self.assertIn(\"tool_description\", template_vars)\n        self.assertIn(\"assistant_description\", template_vars)\n        self.assertEqual(\n            template_vars[\"task_description\"], mock_task_description)\n\n\n    @patch('backend.services.prompt_service.query_tools_by_ids')\n    @patch('backend.services.prompt_service.get_enable_tool_id_by_agent_id')\n    def test_get_enabled_tool_description_for_generate_prompt(\n        self,\n        mock_get_enable_tool_ids,\n        mock_query_tools,\n    ):\n        \"\"\"Wrapper should fetch enabled tool IDs then query tool details.\"\"\"\n        from backend.services.prompt_service import get_enabled_tool_description_for_generate_prompt\n\n        mock_get_enable_tool_ids.return_value = [1, 2]\n        tools = [{\"tool_id\": 1}, {\"tool_id\": 2}]\n        mock_query_tools.return_value = tools\n\n        result = get_enabled_tool_description_for_generate_prompt(\n            agent_id=123, tenant_id=\"tenant-x\"\n        )\n\n        mock_get_enable_tool_ids.assert_called_once_with(\n            agent_id=123, tenant_id=\"tenant-x\"\n        )\n        mock_query_tools.assert_called_once_with([1, 2])\n        self.assertEqual(result, tools)\n\n    @patch('backend.services.prompt_service.search_agent_info_by_agent_id')\n    @patch('backend.services.prompt_service.query_sub_agents_id_list')\n    def test_get_enabled_sub_agent_description_for_generate_prompt(\n        self,\n        mock_query_sub_ids,\n        mock_search_agent,\n    ):\n        \"\"\"Wrapper should fetch sub-agent IDs then hydrate them with info.\"\"\"\n        from backend.services.prompt_service import get_enabled_sub_agent_description_for_generate_prompt\n\n        mock_query_sub_ids.return_value = [10, 20]\n        mock_search_agent.side_effect = [\n            {\"agent_id\": 10, \"name\": \"A\"},\n            {\"agent_id\": 20, \"name\": \"B\"},\n        ]\n\n        result = get_enabled_sub_agent_description_for_generate_prompt(\n            agent_id=99, tenant_id=\"tenant-y\"\n        )\n\n        mock_query_sub_ids.assert_called_once_with(\n            main_agent_id=99, tenant_id=\"tenant-y\"\n        )\n        self.assertEqual(mock_search_agent.call_count, 2)\n        self.assertEqual(len(result), 2)\n        self.assertEqual(result[0][\"agent_id\"], 10)\n        self.assertEqual(result[1][\"agent_id\"], 20)\n\n    # ==================== Additional tests for higher coverage ====================\n\n    @patch('backend.services.prompt_service.generate_and_save_system_prompt_impl')\n    def test_gen_system_prompt_streamable_with_app_exception(self, mock_generate_impl):\n        \"\"\"Test gen_system_prompt_streamable handles AppException and returns error through SSE\"\"\"\n        from consts.error_code import ErrorCode\n        from consts.exceptions import AppException\n\n        # Setup - mock generate_and_save_system_prompt_impl to raise AppException\n        mock_generate_impl.side_effect = AppException(\n            ErrorCode.MODEL_NOT_FOUND,\n            \"Model not found error\"\n        )\n\n        # Execute - collect results from the generator\n        result_list = []\n        for result in gen_system_prompt_streamable(\n            agent_id=123,\n            model_id=self.test_model_id,\n            task_description=\"Test task\",\n            user_id=\"user123\",\n            tenant_id=\"tenant456\",\n            language=\"zh\"\n        ):\n            result_list.append(result)\n\n        # Assert - should yield error in SSE format\n        self.assertEqual(len(result_list), 1)\n        import json\n        parsed = json.loads(result_list[0].replace(\"data: \", \"\").replace(\"\\n\\n\", \"\"))\n        self.assertFalse(parsed['success'])\n        self.assertEqual(parsed['error']['code'], str(ErrorCode.MODEL_NOT_FOUND.value))\n        self.assertEqual(parsed['error']['message'], \"Model not found error\")\n\n    @patch('backend.services.prompt_service.generate_and_save_system_prompt_impl')\n    def test_gen_system_prompt_streamable_with_generic_exception(self, mock_generate_impl):\n        \"\"\"Test gen_system_prompt_streamable handles generic Exception and returns error through SSE\"\"\"\n        # Setup - mock generate_and_save_system_prompt_impl to raise generic Exception\n        mock_generate_impl.side_effect = Exception(\"Some random error\")\n\n        # Execute - collect results from the generator\n        result_list = []\n        for result in gen_system_prompt_streamable(\n            agent_id=123,\n            model_id=self.test_model_id,\n            task_description=\"Test task\",\n            user_id=\"user123\",\n            tenant_id=\"tenant456\",\n            language=\"zh\"\n        ):\n            result_list.append(result)\n\n        # Assert - should yield error in SSE format with default error code\n        self.assertEqual(len(result_list), 1)\n        import json\n        parsed = json.loads(result_list[0].replace(\"data: \", \"\").replace(\"\\n\\n\", \"\"))\n        self.assertFalse(parsed['success'])\n        # Should use default error code for non-AppException\n        self.assertIn('error', parsed)\n\n    @patch('backend.services.prompt_service.search_agent_info_by_agent_id')\n    @patch('backend.services.prompt_service.query_tools_by_ids')\n    @patch('backend.services.prompt_service.generate_system_prompt')\n    @patch('backend.services.prompt_service.query_all_agent_info_by_tenant_id')\n    def test_generate_and_save_system_prompt_impl_sub_agent_exception(\n        self,\n        mock_query_all_agents,\n        mock_generate_system_prompt,\n        mock_query_tools,\n        mock_search_agent_info,\n    ):\n        \"\"\"Test generate_and_save_system_prompt_impl handles sub-agent info retrieval exception (lines 88-89)\"\"\"\n        # Setup\n        mock_query_tools.return_value = []\n        mock_query_all_agents.return_value = []\n\n        # Mock generate_system_prompt to yield data\n        def mock_gen(*args, **kwargs):\n            yield {\"type\": \"duty\", \"content\": \"duty content\", \"is_complete\": True}\n\n        mock_generate_system_prompt.side_effect = mock_gen\n\n        # Make search_agent_info_by_agent_id raise exception for one sub-agent\n        mock_search_agent_info.side_effect = [\n            {\"agent_id\": 10, \"name\": \"agent1\"},  # First sub-agent succeeds\n            Exception(\"Database error\"),  # Second sub-agent fails\n        ]\n\n        # Execute - should handle exception gracefully and continue\n        result_gen = generate_and_save_system_prompt_impl(\n            agent_id=123,\n            model_id=self.test_model_id,\n            task_description=\"Test task\",\n            user_id=\"user123\",\n            tenant_id=\"tenant456\",\n            language=\"zh\",\n            tool_ids=[1],\n            sub_agent_ids=[10, 20]  # Two sub-agents\n        )\n        result = list(result_gen)\n\n        # Assert - should still return results (exception was logged but not raised)\n        self.assertGreater(len(result), 0)\n\n    @patch('backend.services.prompt_service._check_agent_display_name_duplicate')\n    @patch('backend.services.prompt_service._check_agent_name_duplicate')\n    @patch('backend.services.prompt_service.query_all_agent_info_by_tenant_id')\n    @patch('backend.services.prompt_service.generate_system_prompt')\n    @patch('backend.services.prompt_service.query_tools_by_ids')\n    @patch('backend.services.prompt_service.search_agent_info_by_agent_id')\n    def test_generate_and_save_system_prompt_impl_empty_content_raises_exception(\n        self,\n        mock_search_agent_info,\n        mock_query_tools,\n        mock_generate_system_prompt,\n        mock_query_all_agents,\n        mock_check_name_dup,\n        mock_check_display_dup,\n    ):\n        \"\"\"Test generate_and_save_system_prompt_impl raises exception when no content is generated (line 223)\"\"\"\n        # Setup\n        mock_query_tools.return_value = []\n        mock_search_agent_info.return_value = {}\n        mock_query_all_agents.return_value = []\n        mock_check_name_dup.return_value = False\n        mock_check_display_dup.return_value = False\n\n        # Mock generate_system_prompt to yield empty content\n        def mock_gen(*args, **kwargs):\n            yield {\"type\": \"duty\", \"content\": \"\", \"is_complete\": True}\n            yield {\"type\": \"constraint\", \"content\": \"\", \"is_complete\": True}\n            yield {\"type\": \"few_shots\", \"content\": \"\", \"is_complete\": True}\n            yield {\"type\": \"agent_var_name\", \"content\": \"\", \"is_complete\": True}\n            yield {\"type\": \"agent_display_name\", \"content\": \"\", \"is_complete\": True}\n            yield {\"type\": \"agent_description\", \"content\": \"\", \"is_complete\": True}\n\n        mock_generate_system_prompt.side_effect = mock_gen\n\n        # Execute and Assert - should raise Exception when all content is empty\n        with self.assertRaises(Exception) as context:\n            list(generate_and_save_system_prompt_impl(\n                agent_id=123,\n                model_id=self.test_model_id,\n                task_description=\"Test task\",\n                user_id=\"user123\",\n                tenant_id=\"tenant456\",\n                language=\"zh\",\n                tool_ids=[1],\n                sub_agent_ids=[10],\n            ))\n\n        self.assertIn(\"Failed to generate prompt content\", str(context.exception))\n\n    @patch('backend.services.prompt_service.call_llm_for_system_prompt')\n    @patch('backend.services.prompt_service.join_info_for_generate_system_prompt')\n    @patch('backend.services.prompt_service.get_prompt_generate_prompt_template')\n    def test_generate_system_prompt_error_before_streaming(\n        self,\n        mock_get_prompt_template,\n        mock_join_info,\n        mock_call_llm,\n    ):\n        \"\"\"Test generate_system_prompt handles error that occurs before streaming (line 307-311)\"\"\"\n        # Setup\n        mock_prompt_config = {\n            \"USER_PROMPT\": \"Test user prompt template\",\n            \"DUTY_SYSTEM_PROMPT\": \"Generate duty prompt\",\n            \"CONSTRAINT_SYSTEM_PROMPT\": \"Generate constraint prompt\",\n            \"FEW_SHOTS_SYSTEM_PROMPT\": \"Generate few shots prompt\",\n            \"AGENT_VARIABLE_NAME_SYSTEM_PROMPT\": \"Generate agent var name\",\n            \"AGENT_DISPLAY_NAME_SYSTEM_PROMPT\": \"Generate agent display name\",\n            \"AGENT_DESCRIPTION_SYSTEM_PROMPT\": \"Generate agent description\"\n        }\n        mock_get_prompt_template.return_value = mock_prompt_config\n        mock_join_info.return_value = \"Joined template content\"\n\n        # Mock call_llm_for_system_prompt to raise exception immediately\n        def mock_llm_call_error(model_id, content, sys_prompt, callback, tenant_id):\n            if \"duty\" in sys_prompt.lower():\n                raise Exception(\"LLM connection error\")\n            # Other prompts work normally\n            if callback:\n                callback(f\"Content for {sys_prompt}\")\n            return f\"Content for {sys_prompt}\"\n\n        mock_call_llm.side_effect = mock_llm_call_error\n\n        # Execute - should raise the exception during iteration\n        result_list = []\n        with self.assertRaises(Exception) as context:\n            for result in generate_system_prompt(\n                [{\"name\": \"agent1\"}],\n                \"Test task\",\n                [{\"name\": \"tool1\"}],\n                \"tenant123\",\n                self.test_model_id,\n                \"zh\"\n            ):\n                result_list.append(result)\n\n        self.assertIn(\"LLM connection error\", str(context.exception))\n\n    @patch('backend.services.prompt_service.call_llm_for_system_prompt')\n    @patch('backend.services.prompt_service.join_info_for_generate_system_prompt')\n    @patch('backend.services.prompt_service.get_prompt_generate_prompt_template')\n    def test_generate_system_prompt_error_during_streaming(\n        self,\n        mock_get_prompt_template,\n        mock_join_info,\n        mock_call_llm,\n    ):\n        \"\"\"Test generate_system_prompt handles error that occurs during streaming (line 330-331)\"\"\"\n        # Setup\n        mock_prompt_config = {\n            \"USER_PROMPT\": \"Test user prompt template\",\n            \"DUTY_SYSTEM_PROMPT\": \"Generate duty prompt\",\n            \"CONSTRAINT_SYSTEM_PROMPT\": \"Generate constraint prompt\",\n            \"FEW_SHOTS_SYSTEM_PROMPT\": \"Generate few shots prompt\",\n            \"AGENT_VARIABLE_NAME_SYSTEM_PROMPT\": \"Generate agent var name\",\n            \"AGENT_DISPLAY_NAME_SYSTEM_PROMPT\": \"Generate agent display name\",\n            \"AGENT_DESCRIPTION_SYSTEM_PROMPT\": \"Generate agent description\"\n        }\n        mock_get_prompt_template.return_value = mock_prompt_config\n        mock_join_info.return_value = \"Joined template content\"\n\n        # Track which call we're on\n        call_count = {\"count\": 0}\n\n        # Mock call_llm to succeed initially then fail after some streaming\n        def mock_llm_call_error_after_first(\n            model_id, content, sys_prompt, callback, tenant_id\n        ):\n            call_count[\"count\"] += 1\n\n            # First few calls succeed\n            if call_count[\"count\"] <= 3:\n                if callback:\n                    callback(f\"Content for {sys_prompt}\")\n                return f\"Content for {sys_prompt}\"\n            else:\n                # Later calls fail\n                raise Exception(\"LLM error during generation\")\n\n        mock_call_llm.side_effect = mock_llm_call_error_after_first\n\n        # Execute - error should be raised during streaming\n        result_list = []\n        with self.assertRaises(Exception) as context:\n            for result in generate_system_prompt(\n                [{\"name\": \"agent1\"}],\n                \"Test task\",\n                [{\"name\": \"tool1\"}],\n                \"tenant123\",\n                self.test_model_id,\n                \"zh\"\n            ):\n                result_list.append(result)\n\n        # Should eventually raise an exception\n        self.assertIn(\"LLM error during generation\", str(context.exception))\n\n    @patch('backend.services.prompt_service.query_tools_by_ids')\n    @patch('backend.services.prompt_service.get_enable_tool_id_by_agent_id')\n    def test_get_enabled_tool_description_for_generate_prompt_empty_tool_ids(\n        self,\n        mock_get_enable_tool_ids,\n        mock_query_tools,\n    ):\n        \"\"\"Test get_enabled_tool_description_for_generate_prompt with empty tool IDs\"\"\"\n        from backend.services.prompt_service import get_enabled_tool_description_for_generate_prompt\n\n        # Setup - return empty list\n        mock_get_enable_tool_ids.return_value = []\n        mock_query_tools.return_value = []\n\n        result = get_enabled_tool_description_for_generate_prompt(\n            agent_id=123, tenant_id=\"tenant-x\"\n        )\n\n        # Should return empty list\n        self.assertEqual(result, [])\n\n    @patch('backend.services.prompt_service.search_agent_info_by_agent_id')\n    @patch('backend.services.prompt_service.query_sub_agents_id_list')\n    def test_get_enabled_sub_agent_description_for_generate_prompt_empty(\n        self,\n        mock_query_sub_ids,\n        mock_search_agent,\n    ):\n        \"\"\"Test get_enabled_sub_agent_description_for_generate_prompt with empty sub-agent IDs\"\"\"\n        from backend.services.prompt_service import get_enabled_sub_agent_description_for_generate_prompt\n\n        # Setup - return empty list\n        mock_query_sub_ids.return_value = []\n\n        result = get_enabled_sub_agent_description_for_generate_prompt(\n            agent_id=99, tenant_id=\"tenant-y\"\n        )\n\n        # Should return empty list\n        self.assertEqual(result, [])\n        mock_search_agent.assert_not_called()\n\n    @patch('backend.services.prompt_service.Template')\n    def test_join_info_for_generate_system_prompt_english(self, mock_template):\n        \"\"\"Test join_info_for_generate_system_prompt with English language\"\"\"\n        # Setup\n        mock_prompt_for_generate = {\"USER_PROMPT\": \"Test User Prompt\"}\n        mock_sub_agents = [\n            {\"name\": \"agent1\", \"description\": \"Agent 1 desc\"}\n        ]\n        mock_task_description = \"Test task\"\n        mock_tools = [\n            {\"name\": \"tool1\", \"description\": \"Tool 1 desc\",\n                \"inputs\": \"input1\", \"output_type\": \"output1\"}\n        ]\n\n        mock_template_instance = MagicMock()\n        mock_template.return_value = mock_template_instance\n        mock_template_instance.render.return_value = \"Rendered content\"\n\n        # Execute with English language\n        result = join_info_for_generate_system_prompt(\n            mock_prompt_for_generate, mock_sub_agents, mock_task_description, mock_tools,\n            language=\"en\"\n        )\n\n        # Assert\n        self.assertEqual(result, \"Rendered content\")\n        # Check that English labels are used\n        call_args = mock_template_instance.render.call_args[0][0]\n        self.assertEqual(call_args[\"task_description\"], mock_task_description)\n\n    @patch('backend.services.prompt_service.Template')\n    def test_join_info_for_generate_system_prompt_empty_tools_and_agents(self, mock_template):\n        \"\"\"Test join_info_for_generate_system_prompt with empty tools and sub-agents\"\"\"\n        # Setup\n        mock_prompt_for_generate = {\"USER_PROMPT\": \"Test User Prompt\"}\n        mock_sub_agents = []\n        mock_task_description = \"Test task\"\n        mock_tools = []\n\n        mock_template_instance = MagicMock()\n        mock_template.return_value = mock_template_instance\n        mock_template_instance.render.return_value = \"Rendered content\"\n\n        # Execute\n        result = join_info_for_generate_system_prompt(\n            mock_prompt_for_generate, mock_sub_agents, mock_task_description, mock_tools\n        )\n\n        # Assert\n        self.assertEqual(result, \"Rendered content\")\n\n"
  },
  {
    "path": "test/backend/services/test_redis_service.py",
    "content": "import unittest\nfrom unittest.mock import patch, MagicMock, call\nimport json\nimport redis\n\nfrom backend.services.redis_service import RedisService, get_redis_service\n\n\nclass TestRedisService(unittest.TestCase):\n    \n    def setUp(self):\n        # Reset environment variables before each test\n        self.env_patcher = patch.dict('os.environ', {\n            'REDIS_URL': 'redis://localhost:6379/0',\n            'REDIS_BACKEND_URL': 'redis://localhost:6379/1'\n        })\n        self.env_patcher.start()\n        \n        # Create a fresh instance for each test\n        self.redis_service = RedisService()\n        \n        # Common mocks that can be used by multiple tests\n        self.mock_redis_client = MagicMock()\n        self.mock_backend_client = MagicMock()\n    \n    def tearDown(self):\n        self.env_patcher.stop()\n    \n    @patch('redis.from_url')\n    @patch('backend.services.redis_service.REDIS_URL', 'redis://localhost:6379/0')\n    def test_client_property(self, mock_from_url):\n        \"\"\"Test client property creates and returns Redis client\"\"\"\n        # Setup\n        mock_from_url.return_value = self.mock_redis_client\n        \n        # Execute\n        client = self.redis_service.client\n        \n        # Verify\n        mock_from_url.assert_called_once_with(\n            'redis://localhost:6379/0', \n            socket_timeout=5, \n            socket_connect_timeout=5,\n            decode_responses=True\n        )\n        self.assertEqual(client, self.mock_redis_client)\n        \n        # Second call should reuse existing client\n        self.redis_service.client\n        mock_from_url.assert_called_once()  # Still only called once\n    \n    @patch('redis.from_url')\n    @patch('backend.services.redis_service.REDIS_URL', None)\n    def test_client_property_no_env_var(self, mock_from_url):\n        \"\"\"Test client property raises error when REDIS_URL is not set\"\"\"\n        # Setup\n        self.env_patcher.stop()\n        with patch.dict('os.environ', {}, clear=True):\n            # Create a fresh instance to ensure it uses the new environment\n            from backend.services.redis_service import RedisService\n            redis_service = RedisService()\n            \n            # Execute & Verify\n            with self.assertRaises(ValueError):\n                _ = redis_service.client\n    \n    @patch('redis.from_url')\n    @patch('backend.services.redis_service.REDIS_BACKEND_URL', 'redis://localhost:6379/1')\n    def test_backend_client_property(self, mock_from_url):\n        \"\"\"Test backend_client property creates and returns Redis client\"\"\"\n        # Setup\n        mock_from_url.return_value = self.mock_backend_client\n        \n        # Execute\n        client = self.redis_service.backend_client\n        \n        # Verify\n        mock_from_url.assert_called_once_with(\n            'redis://localhost:6379/1', \n            socket_timeout=5, \n            socket_connect_timeout=5\n        )\n        self.assertEqual(client, self.mock_backend_client)\n        \n        # Second call should reuse existing client\n        self.redis_service.backend_client\n        mock_from_url.assert_called_once()  # Still only called once\n    \n    @patch('redis.from_url')\n    @patch('backend.services.redis_service.REDIS_BACKEND_URL', None)\n    @patch('backend.services.redis_service.REDIS_URL', 'redis://localhost:6379/0')\n    def test_backend_client_fallback(self, mock_from_url):\n        \"\"\"Test backend_client falls back to REDIS_URL when REDIS_BACKEND_URL is not set\"\"\"\n        # Setup\n        mock_from_url.return_value = self.mock_backend_client\n        self.env_patcher.stop()\n        with patch.dict('os.environ', {'REDIS_URL': 'redis://localhost:6379/0'}):\n            # Create a fresh instance to ensure it uses the new environment\n            from backend.services.redis_service import RedisService\n            redis_service = RedisService()\n            \n            # Execute\n            client = redis_service.backend_client\n            \n            # Verify\n            mock_from_url.assert_called_once_with(\n                'redis://localhost:6379/0', \n                socket_timeout=5, \n                socket_connect_timeout=5\n            )\n            self.assertEqual(client, self.mock_backend_client)\n    \n    @patch('redis.from_url')\n    @patch('backend.services.redis_service.REDIS_BACKEND_URL', None)\n    @patch('backend.services.redis_service.REDIS_URL', None)\n    def test_backend_client_no_env_vars(self, mock_from_url):\n        \"\"\"Test backend_client raises error when no Redis URLs are set\"\"\"\n        # Setup\n        self.env_patcher.stop()\n        with patch.dict('os.environ', {}, clear=True):\n            # Create a fresh instance to ensure it uses the new environment\n            from backend.services.redis_service import RedisService\n            redis_service = RedisService()\n            \n            # Execute & Verify\n            with self.assertRaises(ValueError):\n                _ = redis_service.backend_client\n\n    @patch('redis.from_url')\n    @patch('backend.services.redis_service.REDIS_URL', 'redis://localhost:6379/0')\n    def test_mark_and_check_task_cancelled(self, mock_from_url):\n        \"\"\"mark_task_cancelled should set flag and is_task_cancelled should read it.\"\"\"\n        mock_client = MagicMock()\n        mock_client.setex.return_value = True\n        mock_client.get.return_value = b\"1\"\n        mock_from_url.return_value = mock_client\n\n        service = RedisService()\n        ok = service.mark_task_cancelled(\"task-1\", ttl_hours=1)\n        self.assertTrue(ok)\n        self.assertTrue(service.is_task_cancelled(\"task-1\"))\n        mock_client.setex.assert_called_once()\n        mock_client.get.assert_called_once()\n\n    def test_delete_knowledgebase_records(self):\n        \"\"\"Test delete_knowledgebase_records method\"\"\"\n        # Setup\n        self.redis_service._client = self.mock_redis_client\n        self.redis_service._backend_client = self.mock_backend_client\n        \n        # Mock the internal methods\n        self.redis_service._cleanup_celery_tasks = MagicMock(return_value=5)\n        self.redis_service._cleanup_cache_keys = MagicMock(return_value=10)\n        \n        # Execute\n        result = self.redis_service.delete_knowledgebase_records(\"test_index\")\n        \n        # Verify\n        self.redis_service._cleanup_celery_tasks.assert_called_once_with(\"test_index\")\n        self.redis_service._cleanup_cache_keys.assert_called_once_with(\"test_index\")\n        \n        self.assertEqual(result[\"index_name\"], \"test_index\")\n        self.assertEqual(result[\"celery_tasks_deleted\"], 5)\n        self.assertEqual(result[\"cache_keys_deleted\"], 10)\n        self.assertEqual(result[\"total_deleted\"], 15)\n        self.assertEqual(result[\"errors\"], [])\n    \n    def test_delete_knowledgebase_records_with_error(self):\n        \"\"\"Test delete_knowledgebase_records handles errors properly\"\"\"\n        # Setup\n        self.redis_service._client = self.mock_redis_client\n        self.redis_service._backend_client = self.mock_backend_client\n        \n        # Mock the internal methods to raise an exception\n        self.redis_service._cleanup_celery_tasks = MagicMock(side_effect=Exception(\"Test error\"))\n        \n        # Execute\n        result = self.redis_service.delete_knowledgebase_records(\"test_index\")\n        \n        # Verify\n        self.assertEqual(result[\"index_name\"], \"test_index\")\n        self.assertEqual(result[\"celery_tasks_deleted\"], 0)\n        self.assertEqual(result[\"cache_keys_deleted\"], 0)\n        self.assertEqual(result[\"total_deleted\"], 0)\n        self.assertEqual(len(result[\"errors\"]), 1)\n        self.assertIn(\"Test error\", result[\"errors\"][0])\n    \n    def test_delete_document_records(self):\n        \"\"\"Test delete_document_records method\"\"\"\n        # Setup\n        self.redis_service._client = self.mock_redis_client\n        self.redis_service._backend_client = self.mock_backend_client\n        \n        # Mock the internal methods\n        self.redis_service._cleanup_document_celery_tasks = MagicMock(return_value=3)\n        self.redis_service._cleanup_document_cache_keys = MagicMock(return_value=7)\n        \n        # Execute\n        result = self.redis_service.delete_document_records(\"test_index\", \"path/to/doc.pdf\")\n        \n        # Verify\n        self.redis_service._cleanup_document_celery_tasks.assert_called_once_with(\"test_index\", \"path/to/doc.pdf\")\n        self.redis_service._cleanup_document_cache_keys.assert_called_once_with(\"test_index\", \"path/to/doc.pdf\")\n        \n        self.assertEqual(result[\"index_name\"], \"test_index\")\n        self.assertEqual(result[\"document_path\"], \"path/to/doc.pdf\")\n        self.assertEqual(result[\"celery_tasks_deleted\"], 3)\n        self.assertEqual(result[\"cache_keys_deleted\"], 7)\n        self.assertEqual(result[\"total_deleted\"], 10)\n        self.assertEqual(result[\"errors\"], [])\n    \n    def test_delete_document_records_with_error(self):\n        \"\"\"Test delete_document_records handles errors properly\"\"\"\n        # Setup\n        self.redis_service._client = self.mock_redis_client\n        self.redis_service._backend_client = self.mock_backend_client\n        \n        # Mock the internal methods to raise an exception\n        self.redis_service._cleanup_document_celery_tasks = MagicMock(side_effect=Exception(\"Test error\"))\n        \n        # Execute\n        result = self.redis_service.delete_document_records(\"test_index\", \"path/to/doc.pdf\")\n        \n        # Verify\n        self.assertEqual(result[\"index_name\"], \"test_index\")\n        self.assertEqual(result[\"document_path\"], \"path/to/doc.pdf\")\n        self.assertEqual(result[\"celery_tasks_deleted\"], 0)\n        self.assertEqual(result[\"cache_keys_deleted\"], 0)\n        self.assertEqual(result[\"total_deleted\"], 0)\n        self.assertEqual(len(result[\"errors\"]), 1)\n        self.assertIn(\"Test error\", result[\"errors\"][0])\n    \n    def test_cleanup_single_task_related_keys_outer_exception(self):\n        \"\"\"Outer handler logs when warning path itself fails.\"\"\"\n        self.redis_service._client = self.mock_redis_client\n        self.redis_service._backend_client = self.mock_backend_client\n        self.mock_redis_client.delete.side_effect = redis.RedisError(\n            \"delete failed\")\n\n        with patch('backend.services.redis_service.logger.warning', side_effect=Exception(\"warn boom\")), \\\n                patch('backend.services.redis_service.logger.error') as mock_error:\n            result = self.redis_service._cleanup_single_task_related_keys(\n                \"task123\")\n\n        mock_error.assert_called_once()\n        self.assertEqual(result, 0)\n\n    def test_cleanup_celery_tasks(self):\n        \"\"\"Test _cleanup_celery_tasks method\"\"\"\n        # Setup\n        self.redis_service._backend_client = self.mock_backend_client\n\n        # Create mock task data\n        task_keys = [b'celery-task-meta-1',\n                     b'celery-task-meta-2', b'celery-task-meta-3']\n\n        # Task 1 matches our index\n        task1_data = json.dumps({\n            'result': {'index_name': 'test_index', 'some_key': 'some_value'},\n            'parent_id': '2'  # This will trigger a parent lookup\n        }).encode()\n\n        # Task 2 has index name in a different location\n        task2_data = json.dumps({\n            'index_name': 'test_index',\n            'result': {'some_key': 'some_value'},\n            'parent_id': None  # No parent\n        }).encode()\n\n        # Task 3 is for a different index\n        task3_data = json.dumps({\n            'result': {'index_name': 'other_index', 'some_key': 'some_value'}\n        }).encode()\n\n        # Configure mock responses\n        self.mock_backend_client.keys.return_value = task_keys\n        # Two passes over keys: provide payloads for both passes (6 gets)\n        self.mock_backend_client.get.side_effect = [\n            task1_data, task2_data, task3_data,\n            task1_data, task2_data, task3_data,\n        ]\n\n        # We expect delete to be called and return 1 each time\n        self.mock_backend_client.delete.return_value = 1\n\n        # Execute\n        with patch.object(self.redis_service, '_recursively_delete_task_and_parents') as mock_recursive_delete:\n            mock_recursive_delete.side_effect = [(1, {'1'}), (1, {'2'})]\n            result = self.redis_service._cleanup_celery_tasks(\"test_index\")\n\n        # Verify\n        self.mock_backend_client.keys.assert_called_once_with(\n            'celery-task-meta-*')\n        # Implementation fetches task payloads in both passes; expect 6 total (3 keys * 2 passes)\n        self.assertEqual(self.mock_backend_client.get.call_count, 6)\n\n        # Should have called recursive delete for matched tasks\n        self.assertGreaterEqual(mock_recursive_delete.call_count, 2)\n\n        # Return value should match deleted tasks count\n        self.assertEqual(result, mock_recursive_delete.call_count)\n\n    def test_cleanup_celery_tasks_get_exception_and_cancel_failure(self):\n        \"\"\"First-pass get failure and cancel failure are both handled.\"\"\"\n        self.redis_service._backend_client = self.mock_backend_client\n        self.redis_service._client = self.mock_redis_client\n\n        task_keys = [b'celery-task-meta-err', b'celery-task-meta-2']\n        valid_task = json.dumps({\n            'result': {'index_name': 'test_index'},\n            'parent_id': None\n        }).encode()\n\n        self.mock_backend_client.keys.return_value = task_keys\n        self.mock_backend_client.get.side_effect = [\n            redis.RedisError(\"boom\"),\n            valid_task,\n            redis.RedisError(\"boom-second\"),\n            valid_task,\n        ]\n\n        with patch.object(self.redis_service, 'mark_task_cancelled', side_effect=ValueError(\"cancel fail\")) as mock_cancel, \\\n                patch.object(self.redis_service, '_recursively_delete_task_and_parents', return_value=(1, {'2'})) as mock_delete, \\\n                patch.object(self.redis_service, '_cleanup_single_task_related_keys') as mock_cleanup:\n\n            result = self.redis_service._cleanup_celery_tasks(\"test_index\")\n\n        mock_cancel.assert_called_once_with('2')\n        mock_delete.assert_called_once_with('2')\n        mock_cleanup.assert_called_once_with('2')\n        self.assertEqual(result, 1)\n\n    def test_cleanup_celery_tasks_exc_message_bad_json(self):\n        \"\"\"JSON decode failure inside exc_message parsing does not crash.\"\"\"\n        self.redis_service._backend_client = self.mock_backend_client\n        self.redis_service._client = self.mock_redis_client\n\n        task_keys = [b'celery-task-meta-1']\n        bad_json_payload = json.dumps({\n            'result': {\n                # Contains brace to enter parsing block\n                'exc_message': '{bad json'\n            }\n        }).encode()\n\n        self.mock_backend_client.keys.return_value = task_keys\n        self.mock_backend_client.get.side_effect = [\n            bad_json_payload, bad_json_payload]\n\n        with patch.object(self.redis_service, '_recursively_delete_task_and_parents', return_value=(0, set())) as mock_delete:\n            result = self.redis_service._cleanup_celery_tasks(\"test_index\")\n\n        # Bad JSON should be tolerated; no deletions occur\n        mock_delete.assert_not_called()\n        self.assertEqual(result, 0)\n\n    def test_cleanup_celery_tasks_cleanup_single_task_error(self):\n        \"\"\"Failures during related-key cleanup are logged and skipped.\"\"\"\n        self.redis_service._backend_client = self.mock_backend_client\n        self.redis_service._client = self.mock_redis_client\n\n        task_keys = [b'celery-task-meta-1']\n        task_payload = json.dumps({\n            'result': {'index_name': 'test_index'}\n        }).encode()\n\n        self.mock_backend_client.keys.return_value = task_keys\n        self.mock_backend_client.get.side_effect = [task_payload, task_payload]\n\n        with patch.object(self.redis_service, '_recursively_delete_task_and_parents', return_value=(1, {'1'})), \\\n                patch.object(self.redis_service, '_cleanup_single_task_related_keys', side_effect=Exception(\"cleanup boom\")) as mock_cleanup:\n            result = self.redis_service._cleanup_celery_tasks(\"test_index\")\n\n        mock_cleanup.assert_called_once_with('1')\n        self.assertEqual(result, 1)\n\n    def test_cleanup_cache_keys(self):\n        \"\"\"Test _cleanup_cache_keys method\"\"\"\n        # Setup\n        self.redis_service._client = self.mock_redis_client\n\n        # Configure mock responses for each pattern\n        pattern_keys = {\n            '*test_index*': [b'key1', b'key2'],\n            'kb:test_index:*': [b'key3', b'key4', b'key5'],\n            'index:test_index:*': [b'key6'],\n            'search:test_index:*': [b'key7', b'key8']\n        }\n\n        def mock_keys_side_effect(pattern):\n            return pattern_keys.get(pattern, [])\n\n        self.mock_redis_client.keys.side_effect = mock_keys_side_effect\n        # Each delete operation deletes 1 key\n        self.mock_redis_client.delete.return_value = 1\n\n        # Execute\n        result = self.redis_service._cleanup_cache_keys(\"test_index\")\n\n        # Verify\n        self.assertEqual(self.mock_redis_client.keys.call_count, 4)\n\n        # All keys should be deleted (8 keys total)\n        expected_calls = [\n            call(b'key1', b'key2'),\n            call(b'key3', b'key4', b'key5'),\n            call(b'key6'),\n            call(b'key7', b'key8')\n        ]\n        self.mock_redis_client.delete.assert_has_calls(\n            expected_calls, any_order=True)\n\n        # Return value should be the number of deleted keys\n        self.assertEqual(result, 4)  # 4 successful delete operations\n\n    def test_cleanup_document_celery_tasks(self):\n        \"\"\"Test _cleanup_document_celery_tasks method\"\"\"\n        # Setup\n        self.redis_service._backend_client = self.mock_backend_client\n\n        # Create mock task data\n        task_keys = [b'celery-task-meta-1',\n                     b'celery-task-meta-2', b'celery-task-meta-3']\n\n        # Task 1 matches our index and document\n        task1_data = json.dumps({\n            'result': {\n                'index_name': 'test_index',\n                'source': 'path/to/doc.pdf'\n            },\n            'parent_id': '2'  # This will trigger a parent lookup\n        }).encode()\n\n        # Task 2 has the right index but wrong document\n        task2_data = json.dumps({\n            'result': {\n                'index_name': 'test_index',\n                'source': 'other/doc.pdf'\n            }\n        }).encode()\n\n        # Task 3 has document path in a different field\n        task3_data = json.dumps({\n            'result': {\n                'index_name': 'test_index',\n                'path_or_url': 'path/to/doc.pdf'\n            },\n            'parent_id': None  # No parent\n        }).encode()\n\n        # Configure mock responses\n        self.mock_backend_client.keys.return_value = task_keys\n        self.mock_backend_client.get.side_effect = [\n            task1_data, task2_data, task3_data]\n\n        # We expect delete to be called and return 1 each time\n        self.mock_backend_client.delete.return_value = 1\n\n        # Execute\n        with patch.object(self.redis_service, '_recursively_delete_task_and_parents') as mock_recursive_delete:\n            mock_recursive_delete.side_effect = [(1, {'1'}), (1, {'3'})]\n            result = self.redis_service._cleanup_document_celery_tasks(\n                \"test_index\", \"path/to/doc.pdf\")\n\n        # Verify\n        self.mock_backend_client.keys.assert_called_once_with(\n            'celery-task-meta-*')\n        # We expect 3 calls - one for each task key\n        self.assertEqual(self.mock_backend_client.get.call_count, 3)\n\n        # Should have called recursive delete twice (for task1 and task3)\n        self.assertEqual(mock_recursive_delete.call_count, 2)\n\n        # Return value should be the number of deleted tasks\n        self.assertEqual(result, 2)\n\n    @patch('hashlib.md5')\n    @patch('urllib.parse.quote')\n    def test_cleanup_document_cache_keys(self, mock_quote, mock_md5):\n        \"\"\"Test _cleanup_document_cache_keys method\"\"\"\n        # Setup\n        self.redis_service._client = self.mock_redis_client\n\n        # Mock the path hashing and quoting\n        mock_quote.return_value = 'safe_path'\n        mock_md5_instance = MagicMock()\n        mock_md5_instance.hexdigest.return_value = 'path_hash'\n        mock_md5.return_value = mock_md5_instance\n\n        # Configure mock responses for each pattern\n        pattern_keys = {\n            '*test_index*safe_path*': [b'key1'],\n            '*test_index*path_hash*': [b'key2', b'key3'],\n            'kb:test_index:doc:safe_path*': [b'key4'],\n            'kb:test_index:doc:path_hash*': [b'key5'],\n            'doc:safe_path:*': [b'key6', b'key7'],\n            'doc:path_hash:*': [b'key8']\n        }\n\n        def mock_keys_side_effect(pattern):\n            return pattern_keys.get(pattern, [])\n\n        self.mock_redis_client.keys.side_effect = mock_keys_side_effect\n        # Each delete operation deletes 1 key\n        self.mock_redis_client.delete.return_value = 1\n\n        # Execute\n        result = self.redis_service._cleanup_document_cache_keys(\n            \"test_index\", \"path/to/doc.pdf\")\n\n        # Verify\n        self.assertEqual(self.mock_redis_client.keys.call_count, 6)\n\n        # Return value should be the number of deleted keys\n        self.assertEqual(result, 6)  # 6 successful delete operations\n\n    def test_get_knowledgebase_task_count(self):\n        \"\"\"Test get_knowledgebase_task_count method\"\"\"\n        # Setup\n        self.redis_service._client = self.mock_redis_client\n        self.redis_service._backend_client = self.mock_backend_client\n\n        # Create mock task data\n        task_keys = [b'celery-task-meta-1', b'celery-task-meta-2']\n\n        # Task 1 matches our index\n        task1_data = json.dumps({\n            'result': {'index_name': 'test_index'}\n        }).encode()\n\n        # Task 2 is for a different index\n        task2_data = json.dumps({\n            'result': {'index_name': 'other_index'}\n        }).encode()\n\n        # Configure mock responses for Celery tasks\n        self.mock_backend_client.keys.return_value = task_keys\n        self.mock_backend_client.get.side_effect = [task1_data, task2_data]\n\n        # Configure mock responses for cache keys\n        cache_keys = {\n            '*test_index*': [b'key1', b'key2'],\n            'kb:test_index:*': [b'key3', b'key4'],\n            'index:test_index:*': [b'key5']\n        }\n\n        def mock_keys_side_effect(pattern):\n            return cache_keys.get(pattern, [])\n\n        self.mock_redis_client.keys.side_effect = mock_keys_side_effect\n\n        # Execute\n        result = self.redis_service.get_knowledgebase_task_count(\"test_index\")\n\n        # Verify\n        self.mock_backend_client.keys.assert_called_once_with(\n            'celery-task-meta-*')\n        self.assertEqual(self.mock_backend_client.get.call_count, 2)\n\n        # Should count 1 matching task and 5 cache keys\n        self.assertEqual(result, 6)\n\n    def test_ping_success(self):\n        \"\"\"Test ping method when connection is successful\"\"\"\n        # Setup\n        self.redis_service._client = self.mock_redis_client\n        self.redis_service._backend_client = self.mock_backend_client\n\n        self.mock_redis_client.ping.return_value = True\n        self.mock_backend_client.ping.return_value = True\n\n        # Execute\n        result = self.redis_service.ping()\n\n        # Verify\n        self.mock_redis_client.ping.assert_called_once()\n        self.mock_backend_client.ping.assert_called_once()\n        self.assertTrue(result)\n\n    def test_ping_failure(self):\n        \"\"\"Test ping method when connection fails\"\"\"\n        # Setup\n        self.redis_service._client = self.mock_redis_client\n        self.redis_service._backend_client = self.mock_backend_client\n\n        self.mock_redis_client.ping.side_effect = redis.RedisError(\n            \"Connection failed\")\n\n        # Execute\n        result = self.redis_service.ping()\n\n        # Verify\n        self.mock_redis_client.ping.assert_called_once()\n        # Should not be called after first ping fails\n        self.mock_backend_client.ping.assert_not_called()\n        self.assertFalse(result)\n\n    @patch('backend.services.redis_service._redis_service', None)\n    @patch('backend.services.redis_service.RedisService')\n    def test_get_redis_service(self, mock_redis_service_class):\n        \"\"\"Test get_redis_service function creates and returns singleton instance\"\"\"\n        # Setup\n        mock_instance = MagicMock()\n        mock_redis_service_class.return_value = mock_instance\n\n        # Execute\n        service1 = get_redis_service()\n        service2 = get_redis_service()\n\n        # Verify\n        mock_redis_service_class.assert_called_once()  # Only created once\n        self.assertEqual(service1, mock_instance)\n        # Should return same instance\n        self.assertEqual(service2, mock_instance)\n\n    def test_recursively_delete_task_and_parents_no_parent(self):\n        \"\"\"Test _recursively_delete_task_and_parents with task that has no parent\"\"\"\n        # Setup\n        self.redis_service._backend_client = self.mock_backend_client\n\n        task_data = json.dumps({\n            'result': {'some_data': 'value'},\n            'parent_id': None\n        }).encode()\n\n        self.mock_backend_client.get.return_value = task_data\n        self.mock_backend_client.delete.return_value = 1\n\n        # Execute\n        deleted_count, processed_ids = self.redis_service._recursively_delete_task_and_parents(\n            \"task123\")\n\n        # Verify\n        self.assertEqual(deleted_count, 1)\n        self.assertEqual(processed_ids, {\"task123\"})\n        self.mock_backend_client.get.assert_called_once_with(\n            'celery-task-meta-task123')\n        self.mock_backend_client.delete.assert_called_once_with(\n            'celery-task-meta-task123')\n\n    def test_recursively_delete_task_and_parents_with_cycle_detection(self):\n        \"\"\"Test _recursively_delete_task_and_parents detects and breaks cycles\"\"\"\n        # Setup\n        self.redis_service._backend_client = self.mock_backend_client\n\n        # Create a cycle: task1 -> task2 -> task1\n        task1_data = json.dumps({'parent_id': 'task2'}).encode()\n        task2_data = json.dumps({'parent_id': 'task1'}).encode()\n\n        self.mock_backend_client.get.side_effect = [task1_data, task2_data]\n        self.mock_backend_client.delete.return_value = 1\n\n        # Execute\n        deleted_count, processed_ids = self.redis_service._recursively_delete_task_and_parents(\n            \"task1\")\n\n        # Verify - should stop when cycle is detected\n        self.assertEqual(deleted_count, 2)\n        self.assertEqual(processed_ids, {\"task1\", \"task2\"})\n        self.assertEqual(self.mock_backend_client.delete.call_count, 2)\n\n    def test_recursively_delete_task_and_parents_json_decode_error(self):\n        \"\"\"Test _recursively_delete_task_and_parents handles JSON decode errors\"\"\"\n        # Setup\n        self.redis_service._backend_client = self.mock_backend_client\n\n        # Invalid JSON data\n        invalid_json_data = b'invalid json data'\n\n        self.mock_backend_client.get.return_value = invalid_json_data\n        self.mock_backend_client.delete.return_value = 1\n\n        # Execute\n        deleted_count, processed_ids = self.redis_service._recursively_delete_task_and_parents(\n            \"task123\")\n\n        # Verify - should still delete the task even if JSON parsing fails\n        self.assertEqual(deleted_count, 1)\n        self.assertEqual(processed_ids, {\"task123\"})\n        self.mock_backend_client.delete.assert_called_once_with(\n            'celery-task-meta-task123')\n\n    def test_recursively_delete_task_and_parents_redis_error(self):\n        \"\"\"Test _recursively_delete_task_and_parents handles Redis errors\"\"\"\n        # Setup\n        self.redis_service._backend_client = self.mock_backend_client\n\n        # Simulate Redis error\n        self.mock_backend_client.get.side_effect = redis.RedisError(\n            \"Connection lost\")\n\n        # Execute\n        deleted_count, processed_ids = self.redis_service._recursively_delete_task_and_parents(\n            \"task123\")\n\n        # Verify - should return 0 when Redis error occurs\n        self.assertEqual(deleted_count, 0)\n        self.assertEqual(processed_ids, {\"task123\"})\n\n    def test_cleanup_celery_tasks_with_failed_task_metadata(self):\n        \"\"\"Test _cleanup_celery_tasks handles failed tasks with exception metadata\"\"\"\n        # Setup\n        self.redis_service._backend_client = self.mock_backend_client\n\n        task_keys = [b'celery-task-meta-1']\n\n        # Task with exception metadata containing index name\n        task_data = json.dumps({\n            'result': {\n                'exc_message': 'Error processing task: {\"index_name\": \"test_index\", \"error\": \"failed\"}'\n            }\n        }).encode()\n\n        self.mock_backend_client.keys.return_value = task_keys\n        self.mock_backend_client.get.return_value = task_data\n\n        # Execute\n        with patch.object(self.redis_service, '_recursively_delete_task_and_parents') as mock_recursive_delete:\n            mock_recursive_delete.return_value = (1, {'1'})\n            result = self.redis_service._cleanup_celery_tasks(\"test_index\")\n\n        # Verify\n        self.assertEqual(result, 1)\n        mock_recursive_delete.assert_called_once_with('1')\n\n    def test_cleanup_celery_tasks_invalid_exception_metadata(self):\n        \"\"\"Test _cleanup_celery_tasks handles invalid exception metadata gracefully\"\"\"\n        # Setup\n        self.redis_service._backend_client = self.mock_backend_client\n\n        task_keys = [b'celery-task-meta-1']\n\n        # Task with invalid exception metadata\n        task_data = json.dumps({\n            'result': {\n                'exc_message': 'Invalid JSON metadata'\n            }\n        }).encode()\n\n        self.mock_backend_client.keys.return_value = task_keys\n        self.mock_backend_client.get.return_value = task_data\n\n        # Execute\n        result = self.redis_service._cleanup_celery_tasks(\"test_index\")\n\n        # Verify - should not crash and return 0\n        self.assertEqual(result, 0)\n\n    def test_cleanup_cache_keys_partial_failure(self):\n        \"\"\"Test _cleanup_cache_keys handles partial failures gracefully\"\"\"\n        # Setup\n        self.redis_service._client = self.mock_redis_client\n\n        # First pattern succeeds, second fails, third succeeds\n        def mock_keys_side_effect(pattern):\n            if pattern == 'kb:test_index:*':\n                raise redis.RedisError(\"Connection error\")\n            elif pattern == '*test_index*':\n                return [b'key1', b'key2']\n            elif pattern == 'index:test_index:*':\n                return [b'key3']\n            else:\n                return []\n\n        self.mock_redis_client.keys.side_effect = mock_keys_side_effect\n        self.mock_redis_client.delete.return_value = 1\n\n        # Execute\n        result = self.redis_service._cleanup_cache_keys(\"test_index\")\n\n        # Verify - should continue processing despite one pattern failing\n        self.assertEqual(result, 2)  # 2 successful delete operations\n\n    def test_cleanup_cache_keys_all_patterns_fail(self):\n        \"\"\"Test _cleanup_cache_keys handles errors gracefully when all patterns fail\"\"\"\n        # Setup\n        self.redis_service._client = self.mock_redis_client\n\n        # Simulate an error for all pattern calls\n        # Each call to keys() will fail but be caught by inner try-catch\n        self.mock_redis_client.keys.side_effect = redis.RedisError(\n            \"Redis connection failed\")\n\n        # Execute - should not raise exception but return 0\n        result = self.redis_service._cleanup_cache_keys(\"test_index\")\n\n        # Verify - should handle gracefully and return 0\n        self.assertEqual(result, 0)\n        # Should have tried all 4 patterns\n        self.assertEqual(self.mock_redis_client.keys.call_count, 4)\n\n    def test_cleanup_document_celery_tasks_cancel_fail_and_processing_error(self):\n        \"\"\"Document cleanup logs processing errors and cancel failures.\"\"\"\n        self.redis_service._backend_client = self.mock_backend_client\n        self.redis_service._client = self.mock_redis_client\n\n        task_keys = [b'celery-task-meta-err', b'celery-task-meta-1']\n        good_payload = json.dumps({\n            'result': {\n                'index_name': 'kb1',\n                'path_or_url': 'doc1'\n            }\n        }).encode()\n\n        self.mock_backend_client.keys.return_value = task_keys\n        self.mock_backend_client.get.side_effect = [\n            redis.RedisError(\"get boom\"),\n            good_payload\n        ]\n\n        with patch.object(self.redis_service, 'mark_task_cancelled', side_effect=ValueError(\"cancel fail\")) as mock_cancel, \\\n                patch.object(self.redis_service, '_recursively_delete_task_and_parents', return_value=(1, {'1'})) as mock_delete, \\\n                patch.object(self.redis_service, '_cleanup_single_task_related_keys') as mock_cleanup:\n\n            result = self.redis_service._cleanup_document_celery_tasks(\n                \"kb1\", \"doc1\")\n\n        mock_cancel.assert_called_once_with('1')\n        mock_delete.assert_called_once_with('1')\n        mock_cleanup.assert_called_once_with('1')\n        self.assertEqual(result, 1)\n\n\n    def test_cleanup_document_cache_keys_empty_patterns(self):\n        \"\"\"Test _cleanup_document_cache_keys handles empty key patterns\"\"\"\n        # Setup\n        self.redis_service._client = self.mock_redis_client\n        \n        # All patterns return empty results\n        self.mock_redis_client.keys.return_value = []\n        \n        # Execute\n        result = self.redis_service._cleanup_document_cache_keys(\"test_index\", \"path/to/doc.pdf\")\n        \n        # Verify\n        self.assertEqual(result, 0)\n        self.assertEqual(self.mock_redis_client.keys.call_count, 6)  # All 6 patterns checked\n        self.mock_redis_client.delete.assert_not_called()\n    \n    def test_get_knowledgebase_task_count_with_backend_errors(self):\n        \"\"\"Test get_knowledgebase_task_count handles backend errors gracefully\"\"\"\n        # Setup\n        self.redis_service._client = self.mock_redis_client\n        self.redis_service._backend_client = self.mock_backend_client\n        \n        # Setup backend client to fail - this will be caught by outer try block\n        self.mock_backend_client.keys.side_effect = redis.RedisError(\"Backend connection failed\")\n        \n        # Setup regular client to succeed (but it won't be reached due to outer exception)\n        self.mock_redis_client.keys.return_value = [b'key1', b'key2', b'key3']\n        \n        # Execute\n        result = self.redis_service.get_knowledgebase_task_count(\"test_index\")\n        \n        # Verify - when backend_client.keys() fails, the outer try catches it\n        # and the method returns 0 without processing cache keys\n        self.assertEqual(result, 0)\n        \n        # Verify that backend keys was called and failed\n        self.mock_backend_client.keys.assert_called_once_with('celery-task-meta-*')\n        # Verify that regular client keys was NOT called due to the exception\n        self.mock_redis_client.keys.assert_not_called()\n    \n    def test_get_knowledgebase_task_count_complete_failure(self):\n        \"\"\"Test get_knowledgebase_task_count handles complete Redis failure\"\"\"\n        # Setup\n        self.redis_service._client = self.mock_redis_client\n        self.redis_service._backend_client = self.mock_backend_client\n        \n        # Both clients fail\n        self.mock_backend_client.keys.side_effect = redis.RedisError(\"Backend failed\")\n        self.mock_redis_client.keys.side_effect = redis.RedisError(\"Cache failed\")\n        \n        # Execute\n        result = self.redis_service.get_knowledgebase_task_count(\"test_index\")\n        \n        # Verify - should return 0 and not crash\n        self.assertEqual(result, 0)\n    \n    def test_ping_backend_client_failure(self):\n        \"\"\"Test ping method when backend client fails but main client succeeds\"\"\"\n        # Setup\n        self.redis_service._client = self.mock_redis_client\n        self.redis_service._backend_client = self.mock_backend_client\n        \n        self.mock_redis_client.ping.return_value = True\n        self.mock_backend_client.ping.side_effect = redis.RedisError(\"Backend connection failed\")\n        \n        # Execute\n        result = self.redis_service.ping()\n        \n        # Verify\n        self.mock_redis_client.ping.assert_called_once()\n        self.mock_backend_client.ping.assert_called_once()\n        self.assertFalse(result)  # Should return False if any client fails\n    \n    def test_init_method(self):\n        \"\"\"Test RedisService initialization\"\"\"\n        # Execute\n        service = RedisService()\n        \n        # Verify\n        self.assertIsNone(service._client)\n        self.assertIsNone(service._backend_client)\n    \n    def test_cleanup_celery_tasks_non_dict_result(self):\n        \"\"\"Test _cleanup_celery_tasks handles non-dict result values\"\"\"\n        # Setup\n        self.redis_service._backend_client = self.mock_backend_client\n        \n        task_keys = [b'celery-task-meta-1']\n        \n        # Task with non-dict result\n        task_data = json.dumps({\n            'result': \"string result instead of dict\"\n        }).encode()\n        \n        self.mock_backend_client.keys.return_value = task_keys\n        self.mock_backend_client.get.return_value = task_data\n        \n        # Execute\n        result = self.redis_service._cleanup_celery_tasks(\"test_index\")\n        \n        # Verify - should handle gracefully and return 0\n        self.assertEqual(result, 0)\n\n    def test_cleanup_cache_keys_all_failures(self):\n        \"\"\"Test _cleanup_cache_keys returns 0 when all patterns fail\"\"\"\n        self.redis_service._client = self.mock_redis_client\n        self.mock_redis_client.keys.side_effect = redis.RedisError(\"Redis connection failed\")\n\n        result = self.redis_service._cleanup_cache_keys(\"test_index\")\n        self.assertEqual(result, 0)\n        self.assertEqual(self.mock_redis_client.keys.call_count, 4)\n\n    def test_ping_backend_failure(self):\n        \"\"\"Test ping returns False if backend client fails but main client succeeds\"\"\"\n        self.redis_service._client = self.mock_redis_client\n        self.redis_service._backend_client = self.mock_backend_client\n\n        self.mock_redis_client.ping.return_value = True\n        self.mock_backend_client.ping.side_effect = redis.RedisError(\"Backend connection failed\")\n\n        result = self.redis_service.ping()\n        self.assertFalse(result)\n        self.mock_redis_client.ping.assert_called_once()\n        self.mock_backend_client.ping.assert_called_once()\n\n    # ------------------------------------------------------------------\n    # Test mark_task_cancelled edge cases\n    # ------------------------------------------------------------------\n\n    def test_mark_task_cancelled_empty_task_id(self):\n        \"\"\"Test mark_task_cancelled returns False when task_id is empty\"\"\"\n        self.redis_service._client = self.mock_redis_client\n        \n        result = self.redis_service.mark_task_cancelled(\"\")\n        self.assertFalse(result)\n        self.mock_redis_client.setex.assert_not_called()\n\n    def test_mark_task_cancelled_redis_error(self):\n        \"\"\"Test mark_task_cancelled handles Redis errors gracefully\"\"\"\n        self.redis_service._client = self.mock_redis_client\n        self.mock_redis_client.setex.side_effect = redis.RedisError(\"Connection failed\")\n        \n        result = self.redis_service.mark_task_cancelled(\"task-123\")\n        self.assertFalse(result)\n        self.mock_redis_client.setex.assert_called_once()\n\n    def test_mark_task_cancelled_custom_ttl(self):\n        \"\"\"Test mark_task_cancelled with custom TTL hours\"\"\"\n        self.redis_service._client = self.mock_redis_client\n        self.mock_redis_client.setex.return_value = True\n        \n        result = self.redis_service.mark_task_cancelled(\"task-123\", ttl_hours=48)\n        self.assertTrue(result)\n        # Verify TTL is calculated correctly (48 hours = 172800 seconds)\n        call_args = self.mock_redis_client.setex.call_args\n        self.assertEqual(call_args[0][1], 48 * 3600)  # TTL in seconds\n\n    # ------------------------------------------------------------------\n    # Test is_task_cancelled edge cases\n    # ------------------------------------------------------------------\n\n    def test_is_task_cancelled_empty_task_id(self):\n        \"\"\"Test is_task_cancelled returns False when task_id is empty\"\"\"\n        self.redis_service._client = self.mock_redis_client\n        \n        result = self.redis_service.is_task_cancelled(\"\")\n        self.assertFalse(result)\n        self.mock_redis_client.get.assert_not_called()\n\n    def test_is_task_cancelled_none_value(self):\n        \"\"\"Test is_task_cancelled returns False when key doesn't exist\"\"\"\n        self.redis_service._client = self.mock_redis_client\n        self.mock_redis_client.get.return_value = None\n        \n        result = self.redis_service.is_task_cancelled(\"task-123\")\n        self.assertFalse(result)\n\n    def test_is_task_cancelled_empty_string_value(self):\n        \"\"\"Test is_task_cancelled returns False when value is empty string\"\"\"\n        self.redis_service._client = self.mock_redis_client\n        self.mock_redis_client.get.return_value = \"\"\n        \n        result = self.redis_service.is_task_cancelled(\"task-123\")\n        self.assertFalse(result)\n\n    def test_is_task_cancelled_redis_error(self):\n        \"\"\"Test is_task_cancelled handles Redis errors gracefully\"\"\"\n        self.redis_service._client = self.mock_redis_client\n        self.mock_redis_client.get.side_effect = redis.RedisError(\"Connection failed\")\n        \n        result = self.redis_service.is_task_cancelled(\"task-123\")\n        self.assertFalse(result)\n\n    # ------------------------------------------------------------------\n    # Test _cleanup_single_task_related_keys\n    # ------------------------------------------------------------------\n\n    def test_cleanup_single_task_related_keys_success(self):\n        \"\"\"Test _cleanup_single_task_related_keys deletes all related keys\"\"\"\n        self.redis_service._client = self.mock_redis_client\n        self.redis_service._backend_client = self.mock_backend_client\n        \n        # Mock successful deletions\n        self.mock_redis_client.delete.side_effect = [1, 1, 1]  # progress, error, cancel\n        self.mock_backend_client.delete.return_value = 1  # chunk cache\n        \n        result = self.redis_service._cleanup_single_task_related_keys(\"task-123\")\n        \n        # Should delete 4 keys total\n        self.assertEqual(result, 4)\n        # Verify all keys were attempted\n        self.assertEqual(self.mock_redis_client.delete.call_count, 3)\n        self.mock_backend_client.delete.assert_called_once_with(\"dp:task-123:chunks\")\n\n    def test_cleanup_single_task_related_keys_empty_task_id(self):\n        \"\"\"Test _cleanup_single_task_related_keys returns 0 for empty task_id\"\"\"\n        result = self.redis_service._cleanup_single_task_related_keys(\"\")\n        self.assertEqual(result, 0)\n\n    def test_cleanup_single_task_related_keys_partial_failure(self):\n        \"\"\"Test _cleanup_single_task_related_keys handles partial failures\"\"\"\n        self.redis_service._client = self.mock_redis_client\n        self.redis_service._backend_client = self.mock_backend_client\n        \n        # First key succeeds, second fails, third succeeds, chunk cache fails\n        self.mock_redis_client.delete.side_effect = [1, redis.RedisError(\"Error\"), 1]\n        self.mock_backend_client.delete.side_effect = redis.RedisError(\"Backend error\")\n        \n        result = self.redis_service._cleanup_single_task_related_keys(\"task-123\")\n        \n        # Should return count of successful deletions (2)\n        self.assertEqual(result, 2)\n\n    def test_cleanup_single_task_related_keys_all_fail(self):\n        \"\"\"Test _cleanup_single_task_related_keys handles all failures gracefully\"\"\"\n        self.redis_service._client = self.mock_redis_client\n        self.redis_service._backend_client = self.mock_backend_client\n        \n        self.mock_redis_client.delete.side_effect = redis.RedisError(\"All failed\")\n        self.mock_backend_client.delete.side_effect = redis.RedisError(\"Backend failed\")\n        \n        result = self.redis_service._cleanup_single_task_related_keys(\"task-123\")\n        \n        # Should return 0 but not raise exception\n        self.assertEqual(result, 0)\n\n    def test_cleanup_single_task_related_keys_no_keys_exist(self):\n        \"\"\"Test _cleanup_single_task_related_keys when keys don't exist\"\"\"\n        self.redis_service._client = self.mock_redis_client\n        self.redis_service._backend_client = self.mock_backend_client\n        \n        # All deletions return 0 (key doesn't exist)\n        self.mock_redis_client.delete.side_effect = [0, 0, 0]\n        self.mock_backend_client.delete.return_value = 0\n        \n        result = self.redis_service._cleanup_single_task_related_keys(\"task-123\")\n        \n        # Should return 0\n        self.assertEqual(result, 0)\n\n    # ------------------------------------------------------------------\n    # Test save_error_info\n    # ------------------------------------------------------------------\n\n    def test_save_error_info_success(self):\n        \"\"\"Test save_error_info successfully saves error information\"\"\"\n        self.redis_service._client = self.mock_redis_client\n        self.mock_redis_client.setex.return_value = True\n        self.mock_redis_client.get.return_value = \"Test error reason\"\n        \n        result = self.redis_service.save_error_info(\"task-123\", \"Test error reason\")\n        \n        self.assertTrue(result)\n        self.mock_redis_client.setex.assert_called_once()\n        # Verify TTL is 30 days in seconds\n        call_args = self.mock_redis_client.setex.call_args\n        self.assertEqual(call_args[0][1], 30 * 24 * 60 * 60)\n        self.assertEqual(call_args[0][2], \"Test error reason\")\n        # Verify get was called to verify the save\n        self.mock_redis_client.get.assert_called_once()\n\n    def test_save_error_info_empty_task_id(self):\n        \"\"\"Test save_error_info returns False when task_id is empty\"\"\"\n        self.redis_service._client = self.mock_redis_client\n        \n        result = self.redis_service.save_error_info(\"\", \"Error reason\")\n        self.assertFalse(result)\n        self.mock_redis_client.setex.assert_not_called()\n\n    def test_save_error_info_empty_error_reason(self):\n        \"\"\"Test save_error_info returns False when error_reason is empty\"\"\"\n        self.redis_service._client = self.mock_redis_client\n        \n        result = self.redis_service.save_error_info(\"task-123\", \"\")\n        self.assertFalse(result)\n        self.mock_redis_client.setex.assert_not_called()\n\n    def test_save_error_info_custom_ttl(self):\n        \"\"\"Test save_error_info with custom TTL days\"\"\"\n        self.redis_service._client = self.mock_redis_client\n        self.mock_redis_client.setex.return_value = True\n        self.mock_redis_client.get.return_value = \"Error\"\n        \n        result = self.redis_service.save_error_info(\"task-123\", \"Error\", ttl_days=7)\n        \n        self.assertTrue(result)\n        call_args = self.mock_redis_client.setex.call_args\n        # Verify TTL is 7 days in seconds\n        self.assertEqual(call_args[0][1], 7 * 24 * 60 * 60)\n\n    def test_save_error_info_setex_returns_false(self):\n        \"\"\"Test save_error_info handles setex returning False\"\"\"\n        self.redis_service._client = self.mock_redis_client\n        self.mock_redis_client.setex.return_value = False\n        \n        result = self.redis_service.save_error_info(\"task-123\", \"Error\")\n        self.assertFalse(result)\n\n    def test_save_error_info_verification_fails(self):\n        \"\"\"Test save_error_info when verification get returns None\"\"\"\n        self.redis_service._client = self.mock_redis_client\n        self.mock_redis_client.setex.return_value = True\n        self.mock_redis_client.get.return_value = None  # Verification fails\n        \n        result = self.redis_service.save_error_info(\"task-123\", \"Error\")\n        # Should still return True because setex succeeded\n        self.assertTrue(result)\n\n    def test_save_error_info_redis_error(self):\n        \"\"\"Test save_error_info handles Redis errors gracefully\"\"\"\n        self.redis_service._client = self.mock_redis_client\n        self.mock_redis_client.setex.side_effect = redis.RedisError(\"Connection failed\")\n        \n        result = self.redis_service.save_error_info(\"task-123\", \"Error\")\n        self.assertFalse(result)\n\n    def test_save_error_info_verification_redis_error(self):\n        \"\"\"Test save_error_info returns False when verification raises Redis error\"\"\"\n        self.redis_service._client = self.mock_redis_client\n        self.mock_redis_client.setex.return_value = True\n        self.mock_redis_client.get.side_effect = redis.RedisError(\"Connection failed\")\n        \n        # Should return False because verification failed with exception\n        result = self.redis_service.save_error_info(\"task-123\", \"Error\")\n        self.assertFalse(result)\n\n    # ------------------------------------------------------------------\n    # Test save_progress_info\n    # ------------------------------------------------------------------\n\n    def test_save_progress_info_success(self):\n        \"\"\"Test save_progress_info successfully saves progress\"\"\"\n        self.redis_service._client = self.mock_redis_client\n        \n        result = self.redis_service.save_progress_info(\"task-123\", 50, 100)\n        \n        self.assertTrue(result)\n        self.mock_redis_client.setex.assert_called_once()\n        call_args = self.mock_redis_client.setex.call_args\n        # Verify TTL is 24 hours in seconds\n        self.assertEqual(call_args[0][1], 24 * 3600)\n        # Verify JSON data\n        progress_data = json.loads(call_args[0][2])\n        self.assertEqual(progress_data['processed_chunks'], 50)\n        self.assertEqual(progress_data['total_chunks'], 100)\n\n    def test_save_progress_info_empty_task_id(self):\n        \"\"\"Test save_progress_info returns False when task_id is empty\"\"\"\n        self.redis_service._client = self.mock_redis_client\n        \n        result = self.redis_service.save_progress_info(\"\", 50, 100)\n        self.assertFalse(result)\n        self.mock_redis_client.setex.assert_not_called()\n\n    def test_save_progress_info_custom_ttl(self):\n        \"\"\"Test save_progress_info with custom TTL hours\"\"\"\n        self.redis_service._client = self.mock_redis_client\n        \n        result = self.redis_service.save_progress_info(\"task-123\", 25, 50, ttl_hours=48)\n        \n        self.assertTrue(result)\n        call_args = self.mock_redis_client.setex.call_args\n        # Verify TTL is 48 hours in seconds\n        self.assertEqual(call_args[0][1], 48 * 3600)\n\n    def test_save_progress_info_zero_progress(self):\n        \"\"\"Test save_progress_info with zero progress\"\"\"\n        self.redis_service._client = self.mock_redis_client\n        \n        result = self.redis_service.save_progress_info(\"task-123\", 0, 100)\n        \n        self.assertTrue(result)\n        call_args = self.mock_redis_client.setex.call_args\n        progress_data = json.loads(call_args[0][2])\n        self.assertEqual(progress_data['processed_chunks'], 0)\n        self.assertEqual(progress_data['total_chunks'], 100)\n\n    def test_save_progress_info_redis_error(self):\n        \"\"\"Test save_progress_info handles Redis errors gracefully\"\"\"\n        self.redis_service._client = self.mock_redis_client\n        self.mock_redis_client.setex.side_effect = redis.RedisError(\"Connection failed\")\n        \n        result = self.redis_service.save_progress_info(\"task-123\", 50, 100)\n        self.assertFalse(result)\n\n    # ------------------------------------------------------------------\n    # Test get_progress_info\n    # ------------------------------------------------------------------\n\n    def test_get_progress_info_success(self):\n        \"\"\"Test get_progress_info successfully retrieves progress\"\"\"\n        self.redis_service._client = self.mock_redis_client\n        progress_json = json.dumps({'processed_chunks': 50, 'total_chunks': 100})\n        self.mock_redis_client.get.return_value = progress_json\n        \n        result = self.redis_service.get_progress_info(\"task-123\")\n        \n        self.assertIsNotNone(result)\n        self.assertEqual(result['processed_chunks'], 50)\n        self.assertEqual(result['total_chunks'], 100)\n\n    def test_get_progress_info_not_found(self):\n        \"\"\"Test get_progress_info returns None when key doesn't exist\"\"\"\n        self.redis_service._client = self.mock_redis_client\n        self.mock_redis_client.get.return_value = None\n        \n        result = self.redis_service.get_progress_info(\"task-123\")\n        self.assertIsNone(result)\n\n    def test_get_progress_info_bytes_response(self):\n        \"\"\"Test get_progress_info handles bytes response (when decode_responses=False)\"\"\"\n        self.redis_service._client = self.mock_redis_client\n        progress_json = json.dumps({'processed_chunks': 75, 'total_chunks': 150})\n        self.mock_redis_client.get.return_value = progress_json.encode('utf-8')\n        \n        result = self.redis_service.get_progress_info(\"task-123\")\n        \n        self.assertIsNotNone(result)\n        self.assertEqual(result['processed_chunks'], 75)\n        self.assertEqual(result['total_chunks'], 150)\n\n    def test_get_progress_info_invalid_json(self):\n        \"\"\"Test get_progress_info handles invalid JSON gracefully\"\"\"\n        self.redis_service._client = self.mock_redis_client\n        self.mock_redis_client.get.return_value = \"invalid json\"\n        \n        result = self.redis_service.get_progress_info(\"task-123\")\n        self.assertIsNone(result)\n\n    def test_get_progress_info_redis_error(self):\n        \"\"\"Test get_progress_info handles Redis errors gracefully\"\"\"\n        self.redis_service._client = self.mock_redis_client\n        self.mock_redis_client.get.side_effect = redis.RedisError(\"Connection failed\")\n        \n        result = self.redis_service.get_progress_info(\"task-123\")\n        self.assertIsNone(result)\n\n    # ------------------------------------------------------------------\n    # Test get_error_info\n    # ------------------------------------------------------------------\n\n    def test_get_error_info_success(self):\n        \"\"\"Test get_error_info successfully retrieves error reason\"\"\"\n        self.redis_service._client = self.mock_redis_client\n        self.mock_redis_client.get.return_value = \"Test error reason\"\n        \n        result = self.redis_service.get_error_info(\"task-123\")\n        \n        self.assertEqual(result, \"Test error reason\")\n        self.mock_redis_client.get.assert_called_once_with(\"error:reason:task-123\")\n\n    def test_get_error_info_not_found(self):\n        \"\"\"Test get_error_info returns None when key doesn't exist\"\"\"\n        self.redis_service._client = self.mock_redis_client\n        self.mock_redis_client.get.return_value = None\n        \n        result = self.redis_service.get_error_info(\"task-123\")\n        self.assertIsNone(result)\n\n    def test_get_error_info_empty_string(self):\n        \"\"\"Test get_error_info returns None when value is empty string\"\"\"\n        self.redis_service._client = self.mock_redis_client\n        self.mock_redis_client.get.return_value = \"\"\n        \n        result = self.redis_service.get_error_info(\"task-123\")\n        self.assertIsNone(result)\n\n    def test_get_error_info_redis_error(self):\n        \"\"\"Test get_error_info handles Redis errors gracefully\"\"\"\n        self.redis_service._client = self.mock_redis_client\n        self.mock_redis_client.get.side_effect = redis.RedisError(\"Connection failed\")\n        \n        result = self.redis_service.get_error_info(\"task-123\")\n        self.assertIsNone(result)\n\n    # ------------------------------------------------------------------\n    # Test _cleanup_celery_tasks edge cases\n    # ------------------------------------------------------------------\n\n    def test_cleanup_celery_tasks_mark_cancelled_failure(self):\n        \"\"\"Test _cleanup_celery_tasks handles mark_task_cancelled failures\"\"\"\n        self.redis_service._backend_client = self.mock_backend_client\n        self.redis_service._client = self.mock_redis_client\n        \n        task_keys = [b'celery-task-meta-1']\n        task_data = json.dumps({\n            'result': {'index_name': 'test_index'},\n            'parent_id': None\n        }).encode()\n        \n        self.mock_backend_client.keys.return_value = task_keys\n        # Provide data for both passes\n        self.mock_backend_client.get.side_effect = [task_data, task_data]\n        self.mock_backend_client.delete.return_value = 1\n        \n        # Mock mark_task_cancelled to fail\n        with patch.object(self.redis_service, 'mark_task_cancelled', return_value=False):\n            with patch.object(self.redis_service, '_recursively_delete_task_and_parents', return_value=(1, {'1'})):\n                with patch.object(self.redis_service, '_cleanup_single_task_related_keys', return_value=0):\n                    result = self.redis_service._cleanup_celery_tasks(\"test_index\")\n        \n        # Should still proceed with deletion despite cancellation failure\n        self.assertEqual(result, 1)\n\n    def test_cleanup_celery_tasks_no_matching_tasks(self):\n        \"\"\"Test _cleanup_celery_tasks when no tasks match the index\"\"\"\n        self.redis_service._backend_client = self.mock_backend_client\n        \n        task_keys = [b'celery-task-meta-1']\n        task_data = json.dumps({\n            'result': {'index_name': 'other_index'}\n        }).encode()\n        \n        self.mock_backend_client.keys.return_value = task_keys\n        # Provide data for both passes\n        self.mock_backend_client.get.side_effect = [task_data, task_data]\n        \n        result = self.redis_service._cleanup_celery_tasks(\"test_index\")\n        \n        self.assertEqual(result, 0)\n\n    # ------------------------------------------------------------------\n    # Test _cleanup_document_celery_tasks edge cases\n    # ------------------------------------------------------------------\n\n    def test_cleanup_document_celery_tasks_no_matching_document(self):\n        \"\"\"Test _cleanup_document_celery_tasks when no tasks match document\"\"\"\n        self.redis_service._backend_client = self.mock_backend_client\n        \n        task_keys = [b'celery-task-meta-1']\n        task_data = json.dumps({\n            'result': {\n                'index_name': 'test_index',\n                'source': 'other/doc.pdf'\n            }\n        }).encode()\n        \n        self.mock_backend_client.keys.return_value = task_keys\n        self.mock_backend_client.get.return_value = task_data\n        \n        result = self.redis_service._cleanup_document_celery_tasks(\"test_index\", \"path/to/doc.pdf\")\n        \n        self.assertEqual(result, 0)\n\n    def test_cleanup_document_celery_tasks_mark_cancelled_failure(self):\n        \"\"\"Test _cleanup_document_celery_tasks handles mark_task_cancelled failures\"\"\"\n        self.redis_service._backend_client = self.mock_backend_client\n        \n        task_keys = [b'celery-task-meta-1']\n        task_data = json.dumps({\n            'result': {\n                'index_name': 'test_index',\n                'source': 'path/to/doc.pdf'\n            }\n        }).encode()\n        \n        self.mock_backend_client.keys.return_value = task_keys\n        self.mock_backend_client.get.return_value = task_data\n        self.mock_backend_client.delete.return_value = 1\n        \n        # Mock mark_task_cancelled to fail\n        with patch.object(self.redis_service, 'mark_task_cancelled', return_value=False):\n            with patch.object(self.redis_service, '_recursively_delete_task_and_parents', return_value=(1, {'1'})):\n                with patch.object(self.redis_service, '_cleanup_single_task_related_keys', return_value=0):\n                    result = self.redis_service._cleanup_document_celery_tasks(\"test_index\", \"path/to/doc.pdf\")\n        \n        # Should still proceed with deletion\n        self.assertEqual(result, 1)\n\n\nif __name__ == '__main__':\n    unittest.main()\n"
  },
  {
    "path": "test/backend/services/test_remote_mcp_service.py",
    "content": "import unittest\nfrom unittest.mock import patch, MagicMock, AsyncMock\nimport sys\nimport os\n# Add path for correct imports\nsys.path.insert(0, os.path.join(os.path.dirname(__file__), \"../../../backend\"))\nsys.modules['boto3'] = MagicMock()\n# Apply critical patches before importing any modules\n# This prevents real AWS/MinIO/Elasticsearch calls during import\npatch('botocore.client.BaseClient._make_api_call', return_value={}).start()\n# Patch storage factory and MinIO config validation to avoid errors during initialization\n# These patches must be started before any imports that use MinioClient\nstorage_client_mock = MagicMock()\nminio_mock = MagicMock()\nminio_mock._ensure_bucket_exists = MagicMock()\nminio_mock.client = MagicMock()\npatch('nexent.storage.storage_client_factory.create_storage_client_from_config',\n      return_value=storage_client_mock).start()\npatch('nexent.storage.minio_config.MinIOStorageConfig.validate',\n      lambda self: None).start()\npatch('backend.database.client.MinioClient', return_value=minio_mock).start()\npatch('database.client.MinioClient', return_value=minio_mock).start()\npatch('backend.database.client.minio_client', minio_mock).start()\npatch('elasticsearch.Elasticsearch', return_value=MagicMock()).start()\n\n# Import exception classes\nfrom backend.consts.exceptions import MCPConnectionError, MCPNameIllegal\n\n# Functions to test\nfrom backend.services.remote_mcp_service import (\n    mcp_server_health,\n    add_remote_mcp_server_list,\n    delete_remote_mcp_server_list,\n    update_remote_mcp_server_list,\n    get_remote_mcp_server_list,\n    check_mcp_health_and_update_db,\n    delete_mcp_by_container_id,\n    get_mcp_record_by_id,\n    upload_and_start_mcp_image,\n    attach_mcp_container_permissions,\n)\n# Patch exception classes to ensure tests use correct exceptions\nimport backend.services.remote_mcp_service as remote_service\nremote_service.MCPConnectionError = MCPConnectionError\nremote_service.MCPNameIllegal = MCPNameIllegal\n\n\nclass TestMcpServerHealth(unittest.IsolatedAsyncioTestCase):\n    \"\"\"Test mcp_server_health\"\"\"\n\n    @patch('backend.services.remote_mcp_service.Client')\n    async def test_health_success(self, mock_client_cls):\n        \"\"\"Test successful health check\"\"\"\n        mock_client = AsyncMock()\n        mock_client.__aenter__.return_value = mock_client\n        mock_client.is_connected = MagicMock(return_value=True)  # Sync mock\n        mock_client_cls.return_value = mock_client\n\n        result = await mcp_server_health('http://test-server')\n        self.assertTrue(result)\n\n    @patch('backend.services.remote_mcp_service.Client')\n    async def test_health_fail_connection(self, mock_client_cls):\n        \"\"\"Test connection failure\"\"\"\n        mock_client = AsyncMock()\n        mock_client.__aenter__.return_value = mock_client\n        mock_client.is_connected = MagicMock(return_value=False)  # Sync mock\n        mock_client_cls.return_value = mock_client\n\n        result = await mcp_server_health('http://test-server')\n        self.assertFalse(result)\n\n    @patch('backend.services.remote_mcp_service.Client')\n    async def test_health_exception(self, mock_client_cls):\n        \"\"\"Test exception case\"\"\"\n        mock_client_cls.side_effect = Exception('Connection failed')\n\n        with self.assertRaises(MCPConnectionError) as context:\n            await mcp_server_health('http://test-server')\n        self.assertEqual(str(context.exception), \"MCP connection failed\")\n\n    @patch('backend.services.remote_mcp_service.Client')\n    async def test_health_with_https_url(self, mock_client_cls):\n        \"\"\"Test health check with HTTPS URL\"\"\"\n        mock_client = AsyncMock()\n        mock_client.__aenter__.return_value = mock_client\n        mock_client.is_connected = MagicMock(return_value=True)  # Sync mock\n        mock_client_cls.return_value = mock_client\n\n        result = await mcp_server_health('https://secure-server.com')\n        self.assertTrue(result)\n\n    @patch('backend.services.remote_mcp_service.Client')\n    async def test_health_with_port(self, mock_client_cls):\n        \"\"\"Test health check with URL containing port\"\"\"\n        mock_client = AsyncMock()\n        mock_client.__aenter__.return_value = mock_client\n        mock_client.is_connected = MagicMock(return_value=True)  # Sync mock\n        mock_client_cls.return_value = mock_client\n\n        result = await mcp_server_health('http://test-server:8080')\n        self.assertTrue(result)\n\n    @patch('backend.services.remote_mcp_service.Client')\n    async def test_health_with_authorization_token(self, mock_client_cls):\n        \"\"\"Test health check with authorization token\"\"\"\n        from fastmcp.client.transports import StreamableHttpTransport\n\n        mock_client = AsyncMock()\n        mock_client.__aenter__.return_value = mock_client\n        mock_client.is_connected = MagicMock(return_value=True)\n        mock_client_cls.return_value = mock_client\n\n        result = await mcp_server_health('http://test-server', authorization_token='Bearer token123')\n        self.assertTrue(result)\n\n        # Verify Client was called with transport containing headers\n        mock_client_cls.assert_called_once()\n        call_args = mock_client_cls.call_args\n        transport = call_args[1]['transport']\n        self.assertIsInstance(transport, StreamableHttpTransport)\n        self.assertEqual(transport.headers, {\"Authorization\": \"Bearer token123\"})\n\n    @patch('backend.services.remote_mcp_service.Client')\n    async def test_health_without_authorization_token(self, mock_client_cls):\n        \"\"\"Test health check without authorization token\"\"\"\n        from fastmcp.client.transports import StreamableHttpTransport\n\n        mock_client = AsyncMock()\n        mock_client.__aenter__.return_value = mock_client\n        mock_client.is_connected = MagicMock(return_value=True)\n        mock_client_cls.return_value = mock_client\n\n        result = await mcp_server_health('http://test-server', authorization_token=None)\n        self.assertTrue(result)\n\n        # Verify Client was called with transport containing empty headers\n        mock_client_cls.assert_called_once()\n        call_args = mock_client_cls.call_args\n        transport = call_args[1]['transport']\n        self.assertIsInstance(transport, StreamableHttpTransport)\n        self.assertEqual(transport.headers, {})\n\n    @patch('backend.services.remote_mcp_service.Client')\n    async def test_health_with_sse_url(self, mock_client_cls):\n        \"\"\"Test health check with /sse URL ending - should use SSETransport\"\"\"\n        from fastmcp.client.transports import SSETransport\n\n        mock_client = AsyncMock()\n        mock_client.__aenter__.return_value = mock_client\n        mock_client.is_connected = MagicMock(return_value=True)\n        mock_client_cls.return_value = mock_client\n\n        result = await mcp_server_health('http://test-server/sse', authorization_token='token123')\n        self.assertTrue(result)\n\n        # Verify SSETransport was used\n        mock_client_cls.assert_called_once()\n        call_args = mock_client_cls.call_args\n        transport = call_args[1]['transport']\n        self.assertIsInstance(transport, SSETransport)\n        self.assertEqual(transport.url, 'http://test-server/sse')\n        self.assertEqual(transport.headers, {\"Authorization\": \"token123\"})\n\n    @patch('backend.services.remote_mcp_service.Client')\n    async def test_health_with_mcp_url(self, mock_client_cls):\n        \"\"\"Test health check with /mcp URL ending - should use StreamableHttpTransport\"\"\"\n        from fastmcp.client.transports import StreamableHttpTransport\n\n        mock_client = AsyncMock()\n        mock_client.__aenter__.return_value = mock_client\n        mock_client.is_connected = MagicMock(return_value=True)\n        mock_client_cls.return_value = mock_client\n\n        result = await mcp_server_health('http://test-server/mcp', authorization_token='token123')\n        self.assertTrue(result)\n\n        # Verify StreamableHttpTransport was used\n        mock_client_cls.assert_called_once()\n        call_args = mock_client_cls.call_args\n        transport = call_args[1]['transport']\n        self.assertIsInstance(transport, StreamableHttpTransport)\n        self.assertEqual(transport.url, 'http://test-server/mcp')\n        self.assertEqual(transport.headers, {\"Authorization\": \"token123\"})\n\n    @patch('backend.services.remote_mcp_service.Client')\n    async def test_health_with_unknown_url_format(self, mock_client_cls):\n        \"\"\"Test health check with unknown URL format - should default to StreamableHttpTransport\"\"\"\n        from fastmcp.client.transports import StreamableHttpTransport\n\n        mock_client = AsyncMock()\n        mock_client.__aenter__.return_value = mock_client\n        mock_client.is_connected = MagicMock(return_value=True)\n        mock_client_cls.return_value = mock_client\n\n        result = await mcp_server_health('http://test-server/api', authorization_token='token123')\n        self.assertTrue(result)\n\n        # Verify StreamableHttpTransport was used as default\n        mock_client_cls.assert_called_once()\n        call_args = mock_client_cls.call_args\n        transport = call_args[1]['transport']\n        self.assertIsInstance(transport, StreamableHttpTransport)\n        self.assertEqual(transport.url, 'http://test-server/api')\n        self.assertEqual(transport.headers, {\"Authorization\": \"token123\"})\n\n    @patch('backend.services.remote_mcp_service.Client')\n    async def test_health_with_url_whitespace(self, mock_client_cls):\n        \"\"\"Test health check with URL containing whitespace - should be stripped\"\"\"\n        from fastmcp.client.transports import StreamableHttpTransport\n\n        mock_client = AsyncMock()\n        mock_client.__aenter__.return_value = mock_client\n        mock_client.is_connected = MagicMock(return_value=True)\n        mock_client_cls.return_value = mock_client\n\n        result = await mcp_server_health('  http://test-server/mcp  ', authorization_token='token123')\n        self.assertTrue(result)\n\n        # Verify URL was stripped and StreamableHttpTransport was used\n        mock_client_cls.assert_called_once()\n        call_args = mock_client_cls.call_args\n        transport = call_args[1]['transport']\n        self.assertIsInstance(transport, StreamableHttpTransport)\n        # URL should be stripped before being passed to transport\n        self.assertEqual(transport.url, 'http://test-server/mcp')\n\n\nclass TestAddRemoteMcpServerList(unittest.IsolatedAsyncioTestCase):\n    \"\"\"Test add_remote_mcp_server_list\"\"\"\n\n    @patch('backend.services.remote_mcp_service.create_mcp_record')\n    @patch('backend.services.remote_mcp_service.mcp_server_health')\n    @patch('backend.services.remote_mcp_service.check_mcp_name_exists')\n    async def test_add_success(self, mock_check_name, mock_health, mock_create):\n        \"\"\"Test successful MCP server addition\"\"\"\n        mock_check_name.return_value = False  # Name doesn't exist\n        mock_health.return_value = True  # Health check passes\n\n        # Should execute successfully without exception\n        await add_remote_mcp_server_list('tid', 'uid', 'http://srv', 'name')\n\n        # Verify calls\n        mock_check_name.assert_called_once_with(\n            mcp_name='name', tenant_id='tid')\n        mock_health.assert_called_once_with(remote_mcp_server='http://srv', authorization_token=None)\n        mock_create.assert_called_once()\n\n    @patch('backend.services.remote_mcp_service.create_mcp_record')\n    @patch('backend.services.remote_mcp_service.mcp_server_health')\n    @patch('backend.services.remote_mcp_service.check_mcp_name_exists')\n    async def test_add_success_with_authorization_token(self, mock_check_name, mock_health, mock_create):\n        \"\"\"Test successful MCP server addition with authorization token\"\"\"\n        mock_check_name.return_value = False  # Name doesn't exist\n        mock_health.return_value = True  # Health check passes\n\n        # Should execute successfully without exception\n        await add_remote_mcp_server_list(\n            'tid', 'uid', 'http://srv', 'name',\n            container_id='container-123',\n            authorization_token='Bearer token123'\n        )\n\n        # Verify calls\n        mock_check_name.assert_called_once_with(\n            mcp_name='name', tenant_id='tid')\n        mock_health.assert_called_once_with(\n            remote_mcp_server='http://srv',\n            authorization_token='Bearer token123'\n        )\n        mock_create.assert_called_once()\n        # Verify authorization_token was passed to create_mcp_record\n        create_call_kwargs = mock_create.call_args[1]\n        self.assertEqual(create_call_kwargs['mcp_data']['authorization_token'], 'Bearer token123')\n        self.assertEqual(create_call_kwargs['mcp_data']['container_id'], 'container-123')\n\n    @patch('backend.services.remote_mcp_service.check_mcp_name_exists')\n    async def test_add_name_exists(self, mock_check_name):\n        \"\"\"Test MCP name already exists\"\"\"\n        mock_check_name.return_value = True\n\n        with self.assertRaises(MCPNameIllegal) as context:\n            await add_remote_mcp_server_list('tid', 'uid', 'http://srv', 'name')\n        self.assertEqual(str(context.exception), \"MCP name already exists\")\n\n    @patch('backend.services.remote_mcp_service.mcp_server_health')\n    @patch('backend.services.remote_mcp_service.check_mcp_name_exists')\n    async def test_add_health_fail(self, mock_check_name, mock_health):\n        \"\"\"Test health check failure\"\"\"\n        mock_check_name.return_value = False\n        mock_health.return_value = False  # Health check returns False\n\n        with self.assertRaises(MCPConnectionError):\n            await add_remote_mcp_server_list('tid', 'uid', 'http://srv', 'name')\n\n    @patch('backend.services.remote_mcp_service.mcp_server_health')\n    @patch('backend.services.remote_mcp_service.check_mcp_name_exists')\n    async def test_add_health_fail_with_exception(self, mock_check_name, mock_health):\n        \"\"\"Test health check failure with exception\"\"\"\n        mock_check_name.return_value = False\n        mock_health.side_effect = MCPConnectionError(\"MCP connection failed\")\n\n        with self.assertRaises(MCPConnectionError):\n            await add_remote_mcp_server_list('tid', 'uid', 'http://srv', 'name')\n\n    @patch('backend.services.remote_mcp_service.create_mcp_record')\n    @patch('backend.services.remote_mcp_service.mcp_server_health')\n    @patch('backend.services.remote_mcp_service.check_mcp_name_exists')\n    async def test_add_db_fail(self, mock_check_name, mock_health, mock_create):\n        \"\"\"Test database operation failure - exception should propagate from database layer\"\"\"\n        from sqlalchemy.exc import SQLAlchemyError\n\n        mock_check_name.return_value = False\n        mock_health.return_value = True\n        mock_create.side_effect = SQLAlchemyError(\"Database error\")\n\n        with self.assertRaises(SQLAlchemyError):\n            await add_remote_mcp_server_list('tid', 'uid', 'http://srv', 'name')\n\n    @patch('backend.services.remote_mcp_service.create_mcp_record')\n    @patch('backend.services.remote_mcp_service.mcp_server_health')\n    @patch('backend.services.remote_mcp_service.check_mcp_name_exists')\n    async def test_add_with_special_characters(self, mock_check_name, mock_health, mock_create):\n        \"\"\"Test server name with special characters\"\"\"\n        mock_check_name.return_value = False\n        mock_health.return_value = True\n\n        await add_remote_mcp_server_list('tid', 'uid', 'http://srv', 'test-server_123')\n        # Verify successful execution without exception\n\n\nclass TestDeleteRemoteMcpServerList(unittest.IsolatedAsyncioTestCase):\n    \"\"\"Test delete_remote_mcp_server_list\"\"\"\n\n    @patch('backend.services.remote_mcp_service.delete_mcp_record_by_name_and_url')\n    async def test_delete_success(self, mock_delete):\n        \"\"\"Test successful deletion\"\"\"\n\n        # Should execute successfully without exception\n        await delete_remote_mcp_server_list('tid', 'uid', 'http://srv', 'name')\n\n        mock_delete.assert_called_once_with(\n            mcp_name='name',\n            mcp_server='http://srv',\n            tenant_id='tid',\n            user_id='uid'\n        )\n\n    @patch('backend.services.remote_mcp_service.delete_mcp_record_by_name_and_url')\n    async def test_delete_fail(self, mock_delete):\n        \"\"\"Test deletion failure - exception should propagate from database layer\"\"\"\n        from sqlalchemy.exc import SQLAlchemyError\n\n        mock_delete.side_effect = SQLAlchemyError(\"Database error\")\n\n        with self.assertRaises(SQLAlchemyError):\n            await delete_remote_mcp_server_list('tid', 'uid', 'http://srv', 'name')\n\n    @patch('backend.services.remote_mcp_service.delete_mcp_record_by_name_and_url')\n    async def test_delete_nonexistent_server(self, mock_delete):\n        \"\"\"Test deletion of non-existent server - exception should propagate from database layer\"\"\"\n        from sqlalchemy.exc import SQLAlchemyError\n\n        mock_delete.side_effect = SQLAlchemyError(\"Record not found\")\n\n        with self.assertRaises(SQLAlchemyError):\n            await delete_remote_mcp_server_list('tid', 'uid', 'http://nonexistent', 'nonexistent')\n\n    @patch('backend.services.remote_mcp_service.delete_mcp_record_by_name_and_url')\n    async def test_delete_with_special_characters(self, mock_delete):\n        \"\"\"Test deletion of server with special characters\"\"\"\n\n        await delete_remote_mcp_server_list('tid', 'uid', 'http://srv', 'test-server_123')\n        # Verify successful execution\n\n\nclass TestGetRemoteMcpServerList(unittest.IsolatedAsyncioTestCase):\n    \"\"\"Test get_remote_mcp_server_list\"\"\"\n\n    @patch('backend.services.remote_mcp_service.get_mcp_records_by_tenant')\n    async def test_get_list(self, mock_get):\n        \"\"\"Test getting server list\"\"\"\n        mock_get.return_value = [\n            {\"mcp_name\": \"n1\", \"mcp_server\": \"u1\", \"status\": True},\n            {\"mcp_name\": \"n2\", \"mcp_server\": \"u2\", \"status\": False}\n        ]\n\n        result = await get_remote_mcp_server_list('tid')\n\n        self.assertEqual(len(result), 2)\n        self.assertEqual(result[0][\"remote_mcp_server_name\"], \"n1\")\n        self.assertEqual(result[0][\"remote_mcp_server\"], \"u1\")\n        self.assertTrue(result[0][\"status\"])\n        self.assertEqual(result[0][\"permission\"], \"READ_ONLY\")\n        self.assertEqual(result[1][\"remote_mcp_server_name\"], \"n2\")\n        self.assertFalse(result[1][\"status\"])\n        self.assertEqual(result[1][\"permission\"], \"READ_ONLY\")\n\n    @patch('backend.services.remote_mcp_service.get_mcp_records_by_tenant')\n    async def test_get_empty(self, mock_get):\n        \"\"\"Test getting empty list\"\"\"\n        mock_get.return_value = []\n\n        result = await get_remote_mcp_server_list('tid')\n        self.assertEqual(result, [])\n\n    @patch('backend.services.remote_mcp_service.get_mcp_records_by_tenant')\n    async def test_get_single_record(self, mock_get):\n        \"\"\"Test getting single record\"\"\"\n        mock_get.return_value = [\n            {\"mcp_name\": \"single_server\",\n                \"mcp_server\": \"http://single.com\", \"status\": True}\n        ]\n\n        result = await get_remote_mcp_server_list('tid')\n        self.assertEqual(len(result), 1)\n        self.assertEqual(result[0][\"remote_mcp_server_name\"], \"single_server\")\n        self.assertEqual(result[0][\"remote_mcp_server\"], \"http://single.com\")\n        self.assertTrue(result[0][\"status\"])\n        self.assertEqual(result[0][\"permission\"], \"READ_ONLY\")\n\n    @patch('backend.services.remote_mcp_service.get_mcp_records_by_tenant')\n    async def test_get_large_list(self, mock_get):\n        \"\"\"Test getting large list of records\"\"\"\n        large_list = []\n        for i in range(100):\n            large_list.append({\n                \"mcp_name\": f\"server_{i}\",\n                \"mcp_server\": f\"http://server_{i}.com\",\n                \"status\": i % 2 == 0  # Alternating status\n            })\n        mock_get.return_value = large_list\n\n        result = await get_remote_mcp_server_list('tid')\n        self.assertEqual(len(result), 100)\n        self.assertEqual(result[0][\"remote_mcp_server_name\"], \"server_0\")\n        self.assertEqual(result[99][\"remote_mcp_server_name\"], \"server_99\")\n\n    @patch('backend.services.remote_mcp_service.get_mcp_records_by_tenant')\n    async def test_get_with_special_characters(self, mock_get):\n        \"\"\"Test records with special characters\"\"\"\n        mock_get.return_value = [\n            {\"mcp_name\": \"test-server_123\",\n                \"mcp_server\": \"http://test-server.com:8080\", \"status\": True}\n        ]\n\n        result = await get_remote_mcp_server_list('tid')\n        self.assertEqual(\n            result[0][\"remote_mcp_server_name\"], \"test-server_123\")\n        self.assertEqual(result[0][\"remote_mcp_server\"],\n                         \"http://test-server.com:8080\")\n        self.assertEqual(result[0][\"permission\"], \"READ_ONLY\")\n\n    @patch('backend.services.remote_mcp_service.get_user_tenant_by_user_id')\n    @patch('backend.services.remote_mcp_service.get_mcp_records_by_tenant')\n    async def test_get_list_permission_by_creator(self, mock_get, mock_get_user_tenant):\n        \"\"\"Test permission: creator can edit, others read when not admin\"\"\"\n        mock_get_user_tenant.return_value = {\"user_role\": \"USER\"}\n        mock_get.return_value = [\n            {\"mcp_name\": \"n1\", \"mcp_server\": \"u1\",\n                \"status\": True, \"created_by\": \"user123\"},\n            {\"mcp_name\": \"n2\", \"mcp_server\": \"u2\",\n                \"status\": True, \"created_by\": \"other\"},\n        ]\n\n        result = await get_remote_mcp_server_list('tid', user_id=\"user123\")\n        self.assertEqual(result[0][\"permission\"], \"EDIT\")\n        self.assertEqual(result[1][\"permission\"], \"READ_ONLY\")\n\n    @patch('backend.services.remote_mcp_service.get_user_tenant_by_user_id')\n    @patch('backend.services.remote_mcp_service.get_mcp_records_by_tenant')\n    async def test_get_list_permission_admin_can_edit_all(self, mock_get, mock_get_user_tenant):\n        \"\"\"Test permission: admin can edit all\"\"\"\n        mock_get_user_tenant.return_value = {\"user_role\": \"ADMIN\"}\n        mock_get.return_value = [\n            {\"mcp_name\": \"n1\", \"mcp_server\": \"u1\",\n                \"status\": True, \"created_by\": \"someone\"},\n            {\"mcp_name\": \"n2\", \"mcp_server\": \"u2\",\n                \"status\": True, \"created_by\": \"other\"},\n        ]\n\n        result = await get_remote_mcp_server_list('tid', user_id=\"user123\")\n        self.assertEqual(result[0][\"permission\"], \"EDIT\")\n        self.assertEqual(result[1][\"permission\"], \"EDIT\")\n\n    @patch('backend.services.remote_mcp_service.get_mcp_records_by_tenant')\n    async def test_get_list_with_is_need_auth_true(self, mock_get):\n        \"\"\"Test getting server list with is_need_auth=True (default) includes authorization_token\"\"\"\n        mock_get.return_value = [\n            {\n                \"mcp_name\": \"n1\",\n                \"mcp_server\": \"u1\",\n                \"status\": True,\n                \"authorization_token\": \"token123\",\n                \"mcp_id\": 1\n            },\n            {\n                \"mcp_name\": \"n2\",\n                \"mcp_server\": \"u2\",\n                \"status\": False,\n                \"authorization_token\": None,\n                \"mcp_id\": 2\n            }\n        ]\n\n        result = await get_remote_mcp_server_list('tid', is_need_auth=True)\n\n        self.assertEqual(len(result), 2)\n        self.assertIn(\"authorization_token\", result[0])\n        self.assertEqual(result[0][\"authorization_token\"], \"token123\")\n        self.assertIn(\"authorization_token\", result[1])\n        self.assertIsNone(result[1][\"authorization_token\"])\n\n    @patch('backend.services.remote_mcp_service.get_mcp_records_by_tenant')\n    async def test_get_list_with_is_need_auth_false(self, mock_get):\n        \"\"\"Test getting server list with is_need_auth=False excludes authorization_token\"\"\"\n        mock_get.return_value = [\n            {\n                \"mcp_name\": \"n1\",\n                \"mcp_server\": \"u1\",\n                \"status\": True,\n                \"authorization_token\": \"token123\",\n                \"mcp_id\": 1\n            },\n            {\n                \"mcp_name\": \"n2\",\n                \"mcp_server\": \"u2\",\n                \"status\": False,\n                \"authorization_token\": \"token456\",\n                \"mcp_id\": 2\n            }\n        ]\n\n        result = await get_remote_mcp_server_list('tid', is_need_auth=False)\n\n        self.assertEqual(len(result), 2)\n        self.assertNotIn(\"authorization_token\", result[0])\n        self.assertNotIn(\"authorization_token\", result[1])\n        # Verify other fields are still present\n        self.assertEqual(result[0][\"remote_mcp_server_name\"], \"n1\")\n        self.assertEqual(result[0][\"mcp_id\"], 1)\n        self.assertEqual(result[1][\"remote_mcp_server_name\"], \"n2\")\n        self.assertEqual(result[1][\"mcp_id\"], 2)\n\n    @patch('backend.services.remote_mcp_service.get_mcp_records_by_tenant')\n    async def test_get_list_default_is_need_auth_true(self, mock_get):\n        \"\"\"Test that default behavior (is_need_auth not specified) includes authorization_token\"\"\"\n        mock_get.return_value = [\n            {\n                \"mcp_name\": \"n1\",\n                \"mcp_server\": \"u1\",\n                \"status\": True,\n                \"authorization_token\": \"token123\",\n                \"mcp_id\": 1\n            }\n        ]\n\n        result = await get_remote_mcp_server_list('tid')\n\n        self.assertEqual(len(result), 1)\n        self.assertIn(\"authorization_token\", result[0])\n        self.assertEqual(result[0][\"authorization_token\"], \"token123\")\n\n    @patch('backend.services.remote_mcp_service.get_user_tenant_by_user_id')\n    @patch('backend.services.remote_mcp_service.get_mcp_records_by_tenant')\n    async def test_get_list_with_user_id_and_is_need_auth_false(self, mock_get, mock_get_user_tenant):\n        \"\"\"Test getting server list with user_id and is_need_auth=False\"\"\"\n        mock_get_user_tenant.return_value = {\"user_role\": \"USER\"}\n        mock_get.return_value = [\n            {\n                \"mcp_name\": \"n1\",\n                \"mcp_server\": \"u1\",\n                \"status\": True,\n                \"created_by\": \"user123\",\n                \"authorization_token\": \"token123\",\n                \"mcp_id\": 1\n            }\n        ]\n\n        result = await get_remote_mcp_server_list('tid', user_id=\"user123\", is_need_auth=False)\n\n        self.assertEqual(len(result), 1)\n        self.assertNotIn(\"authorization_token\", result[0])\n        self.assertEqual(result[0][\"permission\"], \"EDIT\")\n        self.assertEqual(result[0][\"mcp_id\"], 1)\n\n\nclass TestCheckMcpHealthAndUpdateDb(unittest.IsolatedAsyncioTestCase):\n    \"\"\"Test check_mcp_health_and_update_db\"\"\"\n\n    @patch('backend.services.remote_mcp_service.update_mcp_status_by_name_and_url')\n    @patch('backend.services.remote_mcp_service.mcp_server_health')\n    @patch('backend.services.remote_mcp_service.get_mcp_authorization_token_by_name_and_url')\n    async def test_check_health_success(self, mock_get_token, mock_health, mock_update):\n        \"\"\"Test successful health check and update\"\"\"\n        mock_get_token.return_value = 'Bearer token123'\n        mock_health.return_value = True\n\n        # Should execute successfully without exception\n        await check_mcp_health_and_update_db('http://srv', 'name', 'tid', 'uid')\n\n        mock_get_token.assert_called_once_with(\n            mcp_name='name',\n            mcp_server='http://srv',\n            tenant_id='tid'\n        )\n        mock_health.assert_called_once_with(\n            remote_mcp_server='http://srv',\n            authorization_token='Bearer token123'\n        )\n        mock_update.assert_called_once_with(\n            mcp_name='name',\n            mcp_server='http://srv',\n            tenant_id='tid',\n            user_id='uid',\n            status=True\n        )\n\n    @patch('backend.services.remote_mcp_service.update_mcp_status_by_name_and_url')\n    @patch('backend.services.remote_mcp_service.mcp_server_health')\n    @patch('backend.services.remote_mcp_service.get_mcp_authorization_token_by_name_and_url')\n    async def test_check_health_with_none_token(self, mock_get_token, mock_health, mock_update):\n        \"\"\"Test health check with None authorization token\"\"\"\n        mock_get_token.return_value = None\n        mock_health.return_value = True\n\n        await check_mcp_health_and_update_db('http://srv', 'name', 'tid', 'uid')\n\n        mock_health.assert_called_once_with(\n            remote_mcp_server='http://srv',\n            authorization_token=None\n        )\n\n    @patch('backend.services.remote_mcp_service.update_mcp_status_by_name_and_url')\n    @patch('backend.services.remote_mcp_service.mcp_server_health')\n    @patch('backend.services.remote_mcp_service.get_mcp_authorization_token_by_name_and_url')\n    async def test_check_health_false(self, mock_get_token, mock_health, mock_update):\n        \"\"\"Test health check failure - should raise MCPConnectionError when status is False\"\"\"\n        mock_get_token.return_value = 'Bearer token123'\n        mock_health.return_value = False\n\n        with self.assertRaises(MCPConnectionError) as context:\n            await check_mcp_health_and_update_db('http://srv', 'name', 'tid', 'uid')\n\n        self.assertEqual(str(context.exception), \"MCP connection failed\")\n        mock_update.assert_called_once_with(\n            mcp_name='name',\n            mcp_server='http://srv',\n            tenant_id='tid',\n            user_id='uid',\n            status=False\n        )\n\n    @patch('backend.services.remote_mcp_service.update_mcp_status_by_name_and_url')\n    @patch('backend.services.remote_mcp_service.mcp_server_health')\n    @patch('backend.services.remote_mcp_service.get_mcp_authorization_token_by_name_and_url')\n    async def test_update_db_fail(self, mock_get_token, mock_health, mock_update):\n        \"\"\"Test database update failure - exception should propagate from database layer\"\"\"\n        from sqlalchemy.exc import SQLAlchemyError\n\n        mock_get_token.return_value = 'Bearer token123'\n        mock_health.return_value = True\n        mock_update.side_effect = SQLAlchemyError(\"Database error\")\n\n        with self.assertRaises(SQLAlchemyError):\n            await check_mcp_health_and_update_db('http://srv', 'name', 'tid', 'uid')\n\n    @patch('backend.services.remote_mcp_service.update_mcp_status_by_name_and_url')\n    @patch('backend.services.remote_mcp_service.mcp_server_health')\n    @patch('backend.services.remote_mcp_service.get_mcp_authorization_token_by_name_and_url')\n    async def test_health_check_exception(self, mock_get_token, mock_health, mock_update):\n        \"\"\"Test health check exception - should catch exception, set status to False, and raise MCPConnectionError\"\"\"\n        mock_get_token.return_value = 'Bearer token123'\n        mock_health.side_effect = MCPConnectionError(\"Connection failed\")\n\n        # Should catch the exception from mcp_server_health, set status to False, and then raise MCPConnectionError\n        with self.assertRaises(MCPConnectionError) as context:\n            await check_mcp_health_and_update_db('http://srv', 'name', 'tid', 'uid')\n\n        self.assertEqual(str(context.exception), \"MCP connection failed\")\n        mock_health.assert_called_once_with(\n            remote_mcp_server='http://srv',\n            authorization_token='Bearer token123'\n        )\n        mock_update.assert_called_once_with(\n            mcp_name='name',\n            mcp_server='http://srv',\n            tenant_id='tid',\n            user_id='uid',\n            status=False  # Should be False due to exception\n        )\n\n\nclass TestDeleteMcpByContainerId(unittest.IsolatedAsyncioTestCase):\n    \"\"\"Test delete_mcp_by_container_id service helper\"\"\"\n\n    @patch('backend.services.remote_mcp_service.delete_mcp_record_by_container_id')\n    async def test_delete_by_container_id_success(self, mock_delete):\n        \"\"\"Test successful soft delete by container ID\"\"\"\n        await delete_mcp_by_container_id(\n            tenant_id='tid',\n            user_id='uid',\n            container_id='container-123',\n        )\n\n        mock_delete.assert_called_once_with(\n            container_id='container-123',\n            tenant_id='tid',\n            user_id='uid',\n        )\n\n    @patch('backend.services.remote_mcp_service.delete_mcp_record_by_container_id')\n    async def test_delete_by_container_id_db_error(self, mock_delete):\n        \"\"\"Test database error when deleting by container ID - should propagate\"\"\"\n        from sqlalchemy.exc import SQLAlchemyError\n\n        mock_delete.side_effect = SQLAlchemyError(\"Database error\")\n\n        with self.assertRaises(SQLAlchemyError):\n            await delete_mcp_by_container_id(\n                tenant_id='tid',\n                user_id='uid',\n                container_id='container-123',\n            )\n\n\nclass TestIntegrationScenarios(unittest.IsolatedAsyncioTestCase):\n    \"\"\"Integration test scenarios\"\"\"\n\n    @patch('backend.services.remote_mcp_service.create_mcp_record')\n    @patch('backend.services.remote_mcp_service.delete_mcp_record_by_name_and_url')\n    @patch('backend.services.remote_mcp_service.get_mcp_records_by_tenant')\n    @patch('backend.services.remote_mcp_service.mcp_server_health')\n    @patch('backend.services.remote_mcp_service.check_mcp_name_exists')\n    async def test_full_lifecycle(self, mock_check_name, mock_health, mock_get, mock_delete, mock_create):\n        \"\"\"Test complete MCP server lifecycle\"\"\"\n        # 1. Add server\n        mock_check_name.return_value = False\n        mock_health.return_value = True\n\n        # Add server - should succeed without exception\n        await add_remote_mcp_server_list('tid', 'uid', 'http://srv', 'name')\n\n        # 2. Get server list\n        mock_get.return_value = [{\"mcp_name\": \"name\",\n                                  \"mcp_server\": \"http://srv\", \"status\": True}]\n        list_result = await get_remote_mcp_server_list('tid')\n        self.assertEqual(len(list_result), 1)\n        self.assertEqual(list_result[0][\"remote_mcp_server_name\"], \"name\")\n\n        # 3. Delete server\n        await delete_remote_mcp_server_list('tid', 'uid', 'http://srv', 'name')\n\n    @patch('backend.services.remote_mcp_service.check_mcp_name_exists')\n    async def test_duplicate_name_scenario(self, mock_check_name):\n        \"\"\"Test duplicate name scenario\"\"\"\n        mock_check_name.return_value = True\n\n        with self.assertRaises(MCPNameIllegal):\n            await add_remote_mcp_server_list('tid', 'uid', 'http://srv1', 'duplicate_name')\n\n        with self.assertRaises(MCPNameIllegal):\n            await add_remote_mcp_server_list('tid', 'uid', 'http://srv2', 'duplicate_name')\n\n\nclass TestUploadAndStartMcpImage(unittest.IsolatedAsyncioTestCase):\n    \"\"\"Test upload_and_start_mcp_image function\"\"\"\n\n    @patch('backend.services.remote_mcp_service.add_remote_mcp_server_list')\n    @patch('backend.services.remote_mcp_service.MCPContainerManager')\n    @patch('backend.services.remote_mcp_service.check_mcp_name_exists')\n    @patch('tempfile.NamedTemporaryFile')\n    async def test_upload_success(self, mock_temp_file, mock_check_name, mock_container_manager_class, mock_add_server):\n        \"\"\"Test successful upload and container start\"\"\"\n        # Mock tempfile\n        mock_temp_file_obj = MagicMock()\n        mock_temp_file_obj.__enter__.return_value = mock_temp_file_obj\n        mock_temp_file_obj.__exit__.return_value = None\n        mock_temp_file_obj.name = \"/tmp/test.tar\"\n        mock_temp_file.return_value = mock_temp_file_obj\n\n        # Mock container manager\n        mock_container_manager = MagicMock()\n        mock_container_manager_class.return_value = mock_container_manager\n        mock_container_manager.start_mcp_container_from_tar = AsyncMock(return_value={\n            \"container_id\": \"container-123\",\n            \"mcp_url\": \"http://localhost:5020/mcp\",\n            \"host_port\": \"5020\",\n            \"status\": \"started\",\n            \"container_name\": \"test-service-user1234\"\n        })\n\n        mock_check_name.return_value = False\n        mock_add_server.return_value = None\n\n        result = await upload_and_start_mcp_image(\n            tenant_id=\"tenant123\",\n            user_id=\"user456\",\n            file_content=b\"fake tar content\",\n            filename=\"test.tar\",\n            port=5020,\n            service_name=\"test-service\",\n            env_vars='{\"NODE_ENV\": \"production\"}'\n        )\n\n        self.assertEqual(result[\"status\"], \"success\")\n        self.assertEqual(result[\"service_name\"], \"test-service\")\n        self.assertEqual(result[\"mcp_url\"], \"http://localhost:5020/mcp\")\n        self.assertEqual(result[\"container_id\"], \"container-123\")\n\n        # Verify tempfile was created with correct parameters\n        mock_temp_file.assert_called_once_with(delete=False, suffix='.tar')\n\n        # Verify container manager was called\n        mock_container_manager.start_mcp_container_from_tar.assert_called_once()\n        call_kwargs = mock_container_manager.start_mcp_container_from_tar.call_args[1]\n        self.assertEqual(call_kwargs[\"service_name\"], \"test-service\")\n        self.assertEqual(call_kwargs[\"tenant_id\"], \"tenant123\")\n        self.assertEqual(call_kwargs[\"user_id\"], \"user456\")\n        self.assertEqual(call_kwargs[\"host_port\"], 5020)\n        self.assertEqual(call_kwargs[\"env_vars\"], {\"NODE_ENV\": \"production\"})\n\n        # Verify MCP server was registered\n        mock_add_server.assert_called_once()\n\n    @patch('backend.services.remote_mcp_service.add_remote_mcp_server_list')\n    @patch('backend.services.remote_mcp_service.MCPContainerManager')\n    @patch('backend.services.remote_mcp_service.check_mcp_name_exists')\n    @patch('tempfile.NamedTemporaryFile')\n    async def test_upload_success_with_authorization_token_in_env_vars(self, mock_temp_file, mock_check_name, mock_container_manager_class, mock_add_server):\n        \"\"\"Test successful upload with authorization_token in env_vars\"\"\"\n        # Mock tempfile\n        mock_temp_file_obj = MagicMock()\n        mock_temp_file_obj.__enter__.return_value = mock_temp_file_obj\n        mock_temp_file_obj.__exit__.return_value = None\n        mock_temp_file_obj.name = \"/tmp/test.tar\"\n        mock_temp_file.return_value = mock_temp_file_obj\n\n        # Mock container manager\n        mock_container_manager = MagicMock()\n        mock_container_manager_class.return_value = mock_container_manager\n        mock_container_manager.start_mcp_container_from_tar = AsyncMock(return_value={\n            \"container_id\": \"container-123\",\n            \"mcp_url\": \"http://localhost:5020/mcp\",\n            \"host_port\": \"5020\",\n            \"status\": \"started\",\n            \"container_name\": \"test-service-user1234\"\n        })\n\n        mock_check_name.return_value = False\n        mock_add_server.return_value = None\n\n        result = await upload_and_start_mcp_image(\n            tenant_id=\"tenant123\",\n            user_id=\"user456\",\n            file_content=b\"fake tar content\",\n            filename=\"test.tar\",\n            port=5020,\n            service_name=\"test-service\",\n            env_vars='{\"NODE_ENV\": \"production\", \"authorization_token\": \"Bearer token123\"}'\n        )\n\n        self.assertEqual(result[\"status\"], \"success\")\n\n        # Verify authorization_token was extracted from env_vars and passed to add_remote_mcp_server_list\n        mock_add_server.assert_called_once()\n        call_kwargs = mock_add_server.call_args[1]\n        self.assertEqual(call_kwargs[\"authorization_token\"], \"Bearer token123\")\n\n    @patch('backend.services.remote_mcp_service.add_remote_mcp_server_list')\n    @patch('backend.services.remote_mcp_service.MCPContainerManager')\n    @patch('backend.services.remote_mcp_service.check_mcp_name_exists')\n    @patch('tempfile.NamedTemporaryFile')\n    async def test_upload_success_without_authorization_token_in_env_vars(self, mock_temp_file, mock_check_name, mock_container_manager_class, mock_add_server):\n        \"\"\"Test successful upload without authorization_token in env_vars\"\"\"\n        # Mock tempfile\n        mock_temp_file_obj = MagicMock()\n        mock_temp_file_obj.__enter__.return_value = mock_temp_file_obj\n        mock_temp_file_obj.__exit__.return_value = None\n        mock_temp_file_obj.name = \"/tmp/test.tar\"\n        mock_temp_file.return_value = mock_temp_file_obj\n\n        # Mock container manager\n        mock_container_manager = MagicMock()\n        mock_container_manager_class.return_value = mock_container_manager\n        mock_container_manager.start_mcp_container_from_tar = AsyncMock(return_value={\n            \"container_id\": \"container-123\",\n            \"mcp_url\": \"http://localhost:5020/mcp\",\n            \"host_port\": \"5020\",\n            \"status\": \"started\",\n            \"container_name\": \"test-service-user1234\"\n        })\n\n        mock_check_name.return_value = False\n        mock_add_server.return_value = None\n\n        result = await upload_and_start_mcp_image(\n            tenant_id=\"tenant123\",\n            user_id=\"user456\",\n            file_content=b\"fake tar content\",\n            filename=\"test.tar\",\n            port=5020,\n            service_name=\"test-service\",\n            env_vars='{\"NODE_ENV\": \"production\"}'  # No authorization_token\n        )\n\n        self.assertEqual(result[\"status\"], \"success\")\n\n        # Verify authorization_token is None when not in env_vars\n        mock_add_server.assert_called_once()\n        call_kwargs = mock_add_server.call_args[1]\n        self.assertIsNone(call_kwargs[\"authorization_token\"])\n\n    @patch('backend.services.remote_mcp_service.check_mcp_name_exists')\n    async def test_upload_invalid_file_type(self, mock_check_name):\n        \"\"\"Test upload with invalid file type\"\"\"\n        mock_check_name.return_value = False\n\n        with self.assertRaises(ValueError) as context:\n            await upload_and_start_mcp_image(\n                tenant_id=\"tenant123\",\n                user_id=\"user456\",\n                file_content=b\"content\",\n                filename=\"test.txt\",  # Not .tar\n                port=5020\n            )\n\n        self.assertEqual(str(context.exception), \"Only .tar files are allowed\")\n\n    async def test_upload_file_too_large(self):\n        \"\"\"Test upload with file exceeding size limit\"\"\"\n        large_content = b\"x\" * (1024 * 1024 * 1024 + 1)  # Over 1GB\n\n        with self.assertRaises(ValueError) as context:\n            await upload_and_start_mcp_image(\n                tenant_id=\"tenant123\",\n                user_id=\"user456\",\n                file_content=large_content,\n                filename=\"large.tar\",\n                port=5020\n            )\n\n        self.assertEqual(str(context.exception), \"File size exceeds 1GB limit\")\n\n    @patch('backend.services.remote_mcp_service.check_mcp_name_exists')\n    async def test_upload_invalid_env_vars_json(self, mock_check_name):\n        \"\"\"Test upload with invalid JSON in env_vars\"\"\"\n        mock_check_name.return_value = False\n\n        with self.assertRaises(ValueError) as context:\n            await upload_and_start_mcp_image(\n                tenant_id=\"tenant123\",\n                user_id=\"user456\",\n                file_content=b\"content\",\n                filename=\"test.tar\",\n                port=5020,\n                env_vars=\"invalid json {\"\n            )\n\n        self.assertIn(\"Invalid environment variables format\",\n                      str(context.exception))\n\n    @patch('backend.services.remote_mcp_service.check_mcp_name_exists')\n    async def test_upload_env_vars_not_dict(self, mock_check_name):\n        \"\"\"Test upload with environment variables that are not a JSON object\"\"\"\n        mock_check_name.return_value = False\n\n        with self.assertRaises(ValueError) as context:\n            await upload_and_start_mcp_image(\n                tenant_id=\"tenant123\",\n                user_id=\"user456\",\n                file_content=b\"content\",\n                filename=\"test.tar\",\n                port=5020,\n                env_vars='[\"VAR1\", \"VAR2\"]'  # Array instead of object\n            )\n\n        self.assertEqual(str(context.exception),\n                         \"Invalid environment variables format: Environment variables must be a JSON object\")\n\n    @patch('backend.services.remote_mcp_service.check_mcp_name_exists')\n    async def test_upload_auto_service_name(self, mock_check_name):\n        \"\"\"Test upload with auto-generated service name\"\"\"\n        mock_check_name.return_value = False\n\n        with patch('backend.services.remote_mcp_service.add_remote_mcp_server_list'), \\\n                patch('backend.services.remote_mcp_service.MCPContainerManager') as mock_container_manager_class, \\\n                patch('tempfile.NamedTemporaryFile') as mock_temp_file:\n\n            # Mock tempfile\n            mock_temp_file_obj = MagicMock()\n            mock_temp_file_obj.__enter__.return_value = mock_temp_file_obj\n            mock_temp_file_obj.__exit__.return_value = None\n            mock_temp_file_obj.name = \"/tmp/test.tar\"\n            mock_temp_file.return_value = mock_temp_file_obj\n\n            # Mock container manager\n            mock_container_manager = MagicMock()\n            mock_container_manager_class.return_value = mock_container_manager\n            mock_container_manager.start_mcp_container_from_tar = AsyncMock(return_value={\n                \"container_id\": \"container-123\",\n                \"mcp_url\": \"http://localhost:5020/mcp\",\n                \"host_port\": \"5020\",\n                \"status\": \"started\",\n                \"container_name\": \"my-image-user1234\"\n            })\n\n            result = await upload_and_start_mcp_image(\n                tenant_id=\"tenant123\",\n                user_id=\"user456\",\n                file_content=b\"content\",\n                filename=\"my-image.tar\",\n                port=5020\n                # No service_name provided - should auto-generate\n            )\n\n            # Should use filename without extension\n            self.assertEqual(result[\"service_name\"], \"my-image\")\n\n    @patch('backend.services.remote_mcp_service.check_mcp_name_exists')\n    async def test_upload_name_conflict(self, mock_check_name):\n        \"\"\"Test upload when MCP service name already exists\"\"\"\n        mock_check_name.return_value = True  # Name already exists\n\n        with self.assertRaises(MCPNameIllegal) as context:\n            await upload_and_start_mcp_image(\n                tenant_id=\"tenant123\",\n                user_id=\"user456\",\n                file_content=b\"content\",\n                filename=\"test.tar\",\n                port=5020,\n                service_name=\"existing-service\"\n            )\n\n        self.assertEqual(str(context.exception),\n                         \"MCP service name already exists\")\n\n    @patch('backend.services.remote_mcp_service.add_remote_mcp_server_list')\n    @patch('backend.services.remote_mcp_service.MCPContainerManager')\n    @patch('backend.services.remote_mcp_service.check_mcp_name_exists')\n    @patch('tempfile.NamedTemporaryFile')\n    async def test_upload_container_error(self, mock_temp_file, mock_check_name, mock_container_manager_class, mock_add_server):\n        \"\"\"Test upload when container startup fails\"\"\"\n        from backend.consts.exceptions import MCPContainerError\n\n        # Mock tempfile\n        mock_temp_file_obj = MagicMock()\n        mock_temp_file_obj.__enter__.return_value = mock_temp_file_obj\n        mock_temp_file_obj.__exit__.return_value = None\n        mock_temp_file_obj.name = \"/tmp/test.tar\"\n        mock_temp_file.return_value = mock_temp_file_obj\n\n        # Mock container manager to raise error\n        mock_container_manager = MagicMock()\n        mock_container_manager_class.return_value = mock_container_manager\n        mock_container_manager.start_mcp_container_from_tar = AsyncMock(\n            side_effect=MCPContainerError(\"Container failed\"))\n\n        mock_check_name.return_value = False\n\n        with self.assertRaises(MCPContainerError) as context:\n            await upload_and_start_mcp_image(\n                tenant_id=\"tenant123\",\n                user_id=\"user456\",\n                file_content=b\"content\",\n                filename=\"test.tar\",\n                port=5020\n            )\n\n        self.assertEqual(str(context.exception), \"Container failed\")\n\n    @patch('backend.services.remote_mcp_service.check_mcp_name_exists')\n    @patch('backend.services.remote_mcp_service.MCPContainerManager')\n    async def test_upload_docker_unavailable(self, mock_container_manager_class, mock_check_name):\n        \"\"\"Test upload when Docker service is unavailable\"\"\"\n        from backend.consts.exceptions import MCPContainerError\n\n        mock_check_name.return_value = False  # Name doesn't exist\n        mock_container_manager_class.side_effect = MCPContainerError(\n            \"Docker unavailable\")\n\n        with self.assertRaises(MCPContainerError) as context:\n            await upload_and_start_mcp_image(\n                tenant_id=\"tenant123\",\n                user_id=\"user456\",\n                file_content=b\"content\",\n                filename=\"test.tar\",\n                port=5020\n            )\n\n        self.assertEqual(str(context.exception), \"Docker unavailable\")\n\n    @patch('backend.services.remote_mcp_service.add_remote_mcp_server_list')\n    @patch('backend.services.remote_mcp_service.MCPContainerManager')\n    @patch('backend.services.remote_mcp_service.check_mcp_name_exists')\n    @patch('tempfile.NamedTemporaryFile')\n    @patch('os.unlink', side_effect=OSError(\"Permission denied\"))\n    @patch('backend.services.remote_mcp_service.logger')\n    async def test_upload_temp_file_cleanup_warning(self, mock_logger, mock_unlink, mock_temp_file, mock_check_name, mock_container_manager_class, mock_add_server):\n        \"\"\"Test upload with temporary file cleanup failure - should log warning but succeed\"\"\"\n        # Mock tempfile\n        mock_temp_file_obj = MagicMock()\n        mock_temp_file_obj.__enter__.return_value = mock_temp_file_obj\n        mock_temp_file_obj.__exit__.return_value = None\n        mock_temp_file_obj.name = \"/tmp/test.tar\"\n        mock_temp_file.return_value = mock_temp_file_obj\n\n        # Mock container manager\n        mock_container_manager = MagicMock()\n        mock_container_manager_class.return_value = mock_container_manager\n        mock_container_manager.start_mcp_container_from_tar = AsyncMock(return_value={\n            \"container_id\": \"container-123\",\n            \"mcp_url\": \"http://localhost:5020/mcp\",\n            \"host_port\": \"5020\",\n            \"status\": \"started\",\n            \"container_name\": \"test-service-user1234\"\n        })\n\n        mock_check_name.return_value = False\n        mock_add_server.return_value = None\n\n        result = await upload_and_start_mcp_image(\n            tenant_id=\"tenant123\",\n            user_id=\"user456\",\n            file_content=b\"content\",\n            filename=\"test.tar\",\n            port=5020\n        )\n\n        # Should still succeed despite cleanup failure\n        self.assertEqual(result[\"status\"], \"success\")\n\n        # Verify warning was logged\n        mock_logger.warning.assert_called_once()\n        warning_call_args = mock_logger.warning.call_args[0][0]\n        self.assertIn(\n            \"Failed to clean up temporary file /tmp/test.tar\", warning_call_args)\n\n\nclass MockMCPUpdateRequest:\n    \"\"\"Mock MCPUpdateRequest for testing\"\"\"\n\n    def __init__(self, current_service_name, current_mcp_url, new_service_name, new_mcp_url, new_authorization_token=None):\n        self.current_service_name = current_service_name\n        self.current_mcp_url = current_mcp_url\n        self.new_service_name = new_service_name\n        self.new_mcp_url = new_mcp_url\n        self.new_authorization_token = new_authorization_token\n\n\nclass TestUpdateRemoteMcpServerList(unittest.IsolatedAsyncioTestCase):\n    \"\"\"Test update_remote_mcp_server_list\"\"\"\n\n    @patch('backend.services.remote_mcp_service.update_mcp_record_by_name_and_url')\n    @patch('backend.services.remote_mcp_service.mcp_server_health')\n    @patch('backend.services.remote_mcp_service.check_mcp_name_exists')\n    async def test_update_success(self, mock_check_name, mock_health, mock_update_record):\n        \"\"\"Test successful MCP server update\"\"\"\n        # Current name exists, new name is different and doesn't exist, health check passes\n        # current exists, new doesn't\n        mock_check_name.side_effect = [True, False]\n        mock_health.return_value = True\n\n        update_data = MockMCPUpdateRequest(\n            current_service_name=\"old_name\",\n            current_mcp_url=\"http://old.url\",\n            new_service_name=\"new_name\",\n            new_mcp_url=\"http://new.url\"\n        )\n\n        # Should execute successfully without exception\n        await update_remote_mcp_server_list(update_data, 'tid', 'uid')\n\n        # Verify calls\n        mock_check_name.assert_any_call(mcp_name='old_name', tenant_id='tid')\n        mock_check_name.assert_any_call(mcp_name='new_name', tenant_id='tid')\n        mock_health.assert_called_once_with(\n            remote_mcp_server='http://new.url',\n            authorization_token=None\n        )\n        mock_update_record.assert_called_once_with(\n            update_data=update_data,\n            tenant_id='tid',\n            user_id='uid',\n            status=True\n        )\n\n    @patch('backend.services.remote_mcp_service.update_mcp_record_by_name_and_url')\n    @patch('backend.services.remote_mcp_service.mcp_server_health')\n    @patch('backend.services.remote_mcp_service.check_mcp_name_exists')\n    async def test_update_success_with_new_authorization_token(self, mock_check_name, mock_health, mock_update_record):\n        \"\"\"Test successful MCP server update with new authorization token\"\"\"\n        mock_check_name.side_effect = [True, False]\n        mock_health.return_value = True\n\n        update_data = MockMCPUpdateRequest(\n            current_service_name=\"old_name\",\n            current_mcp_url=\"http://old.url\",\n            new_service_name=\"new_name\",\n            new_mcp_url=\"http://new.url\",\n            new_authorization_token='Bearer new_token123'\n        )\n\n        # Should execute successfully without exception\n        await update_remote_mcp_server_list(update_data, 'tid', 'uid')\n\n        # Verify that new authorization token was used (not fetched from DB)\n        mock_health.assert_called_once_with(\n            remote_mcp_server='http://new.url',\n            authorization_token='Bearer new_token123'\n        )\n\n    @patch('backend.services.remote_mcp_service.update_mcp_record_by_name_and_url')\n    @patch('backend.services.remote_mcp_service.mcp_server_health')\n    @patch('backend.services.remote_mcp_service.check_mcp_name_exists')\n    async def test_update_success_same_name(self, mock_check_name, mock_health, mock_update_record):\n        \"\"\"Test successful MCP server update with same name (only URL change)\"\"\"\n        # Current name exists, new name is same so no additional check, health check passes\n        mock_check_name.return_value = True  # current exists\n        mock_health.return_value = True\n\n        update_data = MockMCPUpdateRequest(\n            current_service_name=\"same_name\",\n            current_mcp_url=\"http://old.url\",\n            new_service_name=\"same_name\",\n            new_mcp_url=\"http://new.url\"\n        )\n\n        # Should execute successfully without exception\n        await update_remote_mcp_server_list(update_data, 'tid', 'uid')\n\n        # Verify calls - check_mcp_name_exists should only be called once for current name\n        self.assertEqual(mock_check_name.call_count, 1)\n        mock_check_name.assert_called_with(\n            mcp_name='same_name', tenant_id='tid')\n        mock_health.assert_called_once_with(\n            remote_mcp_server='http://new.url',\n            authorization_token=None\n        )\n        mock_update_record.assert_called_once_with(\n            update_data=update_data,\n            tenant_id='tid',\n            user_id='uid',\n            status=True\n        )\n\n    @patch('backend.services.remote_mcp_service.check_mcp_name_exists')\n    async def test_update_current_name_not_exist(self, mock_check_name):\n        \"\"\"Test update when current MCP name does not exist\"\"\"\n        mock_check_name.return_value = False  # current name doesn't exist\n\n        update_data = MockMCPUpdateRequest(\n            current_service_name=\"nonexistent_name\",\n            current_mcp_url=\"http://old.url\",\n            new_service_name=\"new_name\",\n            new_mcp_url=\"http://new.url\"\n        )\n\n        with self.assertRaises(MCPNameIllegal) as context:\n            await update_remote_mcp_server_list(update_data, 'tid', 'uid')\n\n        self.assertEqual(str(context.exception), \"MCP name does not exist\")\n        # Should only check current name\n        mock_check_name.assert_called_once_with(\n            mcp_name='nonexistent_name', tenant_id='tid')\n\n    @patch('backend.services.remote_mcp_service.mcp_server_health')\n    @patch('backend.services.remote_mcp_service.check_mcp_name_exists')\n    async def test_update_new_name_exists(self, mock_check_name, mock_health):\n        \"\"\"Test update when new MCP name already exists\"\"\"\n        mock_check_name.side_effect = [\n            True, True]  # current exists, new exists\n\n        update_data = MockMCPUpdateRequest(\n            current_service_name=\"old_name\",\n            current_mcp_url=\"http://old.url\",\n            new_service_name=\"existing_name\",\n            new_mcp_url=\"http://new.url\"\n        )\n\n        with self.assertRaises(MCPNameIllegal) as context:\n            await update_remote_mcp_server_list(update_data, 'tid', 'uid')\n\n        self.assertEqual(str(context.exception), \"New MCP name already exists\")\n\n    @patch('backend.services.remote_mcp_service.mcp_server_health')\n    @patch('backend.services.remote_mcp_service.check_mcp_name_exists')\n    async def test_update_health_check_fail(self, mock_check_name, mock_health):\n        \"\"\"Test update when health check fails\"\"\"\n        mock_check_name.side_effect = [\n            True, False]  # current exists, new doesn't\n        mock_health.return_value = False  # health check fails\n\n        update_data = MockMCPUpdateRequest(\n            current_service_name=\"old_name\",\n            current_mcp_url=\"http://old.url\",\n            new_service_name=\"new_name\",\n            new_mcp_url=\"http://unreachable.url\"\n        )\n\n        with self.assertRaises(MCPConnectionError) as context:\n            await update_remote_mcp_server_list(update_data, 'tid', 'uid')\n\n        self.assertEqual(str(context.exception),\n                         \"New MCP server connection failed\")\n        mock_health.assert_called_once_with(\n            remote_mcp_server='http://unreachable.url',\n            authorization_token=None\n        )\n\n    @patch('backend.services.remote_mcp_service.mcp_server_health')\n    @patch('backend.services.remote_mcp_service.check_mcp_name_exists')\n    async def test_update_health_check_exception(self, mock_check_name, mock_health):\n        \"\"\"Test update when health check raises exception\"\"\"\n        mock_check_name.side_effect = [\n            True, False]  # current exists, new doesn't\n        mock_health.side_effect = MCPConnectionError(\"Connection failed\")\n\n        update_data = MockMCPUpdateRequest(\n            current_service_name=\"old_name\",\n            current_mcp_url=\"http://old.url\",\n            new_service_name=\"new_name\",\n            new_mcp_url=\"http://failing.url\"\n        )\n\n        with self.assertRaises(MCPConnectionError) as context:\n            await update_remote_mcp_server_list(update_data, 'tid', 'uid')\n\n        self.assertEqual(str(context.exception),\n                         \"New MCP server connection failed\")\n        mock_health.assert_called_once_with(\n            remote_mcp_server='http://failing.url',\n            authorization_token=None\n        )\n\n    @patch('backend.services.remote_mcp_service.update_mcp_record_by_name_and_url')\n    @patch('backend.services.remote_mcp_service.mcp_server_health')\n    @patch('backend.services.remote_mcp_service.check_mcp_name_exists')\n    async def test_update_db_error(self, mock_check_name, mock_health, mock_update_record):\n        \"\"\"Test update when database operation fails\"\"\"\n        from sqlalchemy.exc import SQLAlchemyError\n\n        # current exists, new doesn't\n        mock_check_name.side_effect = [True, False]\n        mock_health.return_value = True\n        mock_update_record.side_effect = SQLAlchemyError(\"Database error\")\n\n        update_data = MockMCPUpdateRequest(\n            current_service_name=\"old_name\",\n            current_mcp_url=\"http://old.url\",\n            new_service_name=\"new_name\",\n            new_mcp_url=\"http://new.url\"\n        )\n\n        # Should raise SQLAlchemyError from database layer\n        with self.assertRaises(SQLAlchemyError):\n            await update_remote_mcp_server_list(update_data, 'tid', 'uid')\n\n\nclass TestAttachMcpContainerPermissions(unittest.TestCase):\n    \"\"\"Test attach_mcp_container_permissions function\"\"\"\n\n    @patch('backend.services.remote_mcp_service.get_mcp_records_by_tenant')\n    def test_empty_containers(self, mock_get_records):\n        \"\"\"Test with empty containers list\"\"\"\n        result = attach_mcp_container_permissions(\n            containers=[],\n            tenant_id='tid',\n            user_id='uid'\n        )\n        self.assertEqual(result, [])\n        mock_get_records.assert_not_called()\n\n    @patch('backend.services.remote_mcp_service.get_mcp_records_by_tenant')\n    def test_no_user_id_all_read(self, mock_get_records):\n        \"\"\"Test when user_id is None - all containers should have READ_ONLY permission\"\"\"\n        mock_get_records.return_value = []\n        containers = [\n            {\"container_id\": \"c1\", \"name\": \"container1\"},\n            {\"container_id\": \"c2\", \"name\": \"container2\"}\n        ]\n\n        result = attach_mcp_container_permissions(\n            containers=containers,\n            tenant_id='tid',\n            user_id=None\n        )\n\n        self.assertEqual(len(result), 2)\n        self.assertEqual(result[0][\"permission\"], \"READ_ONLY\")\n        self.assertEqual(result[1][\"permission\"], \"READ_ONLY\")\n        self.assertEqual(result[0][\"container_id\"], \"c1\")\n        self.assertEqual(result[1][\"container_id\"], \"c2\")\n\n    @patch('backend.services.remote_mcp_service.get_user_tenant_by_user_id')\n    @patch('backend.services.remote_mcp_service.get_mcp_records_by_tenant')\n    def test_admin_user_all_edit(self, mock_get_records, mock_get_user_tenant):\n        \"\"\"Test when user has ADMIN role - all containers should have EDIT permission\"\"\"\n        mock_get_user_tenant.return_value = {\"user_role\": \"ADMIN\"}\n        mock_get_records.return_value = []\n        containers = [\n            {\"container_id\": \"c1\", \"name\": \"container1\"},\n            {\"container_id\": \"c2\", \"name\": \"container2\"}\n        ]\n\n        result = attach_mcp_container_permissions(\n            containers=containers,\n            tenant_id='tid',\n            user_id='admin_user'\n        )\n\n        self.assertEqual(len(result), 2)\n        self.assertEqual(result[0][\"permission\"], \"EDIT\")\n        self.assertEqual(result[1][\"permission\"], \"EDIT\")\n\n    @patch('backend.services.remote_mcp_service.get_user_tenant_by_user_id')\n    @patch('backend.services.remote_mcp_service.get_mcp_records_by_tenant')\n    def test_su_user_all_edit(self, mock_get_records, mock_get_user_tenant):\n        \"\"\"Test when user has SU role - all containers should have EDIT permission\"\"\"\n        mock_get_user_tenant.return_value = {\"user_role\": \"SU\"}\n        mock_get_records.return_value = []\n        containers = [{\"container_id\": \"c1\", \"name\": \"container1\"}]\n\n        result = attach_mcp_container_permissions(\n            containers=containers,\n            tenant_id='tid',\n            user_id='su_user'\n        )\n\n        self.assertEqual(result[0][\"permission\"], \"EDIT\")\n\n    @patch('backend.services.remote_mcp_service.get_user_tenant_by_user_id')\n    @patch('backend.services.remote_mcp_service.get_mcp_records_by_tenant')\n    def test_speed_user_all_edit(self, mock_get_records, mock_get_user_tenant):\n        \"\"\"Test when user has SPEED role - all containers should have EDIT permission\"\"\"\n        mock_get_user_tenant.return_value = {\"user_role\": \"SPEED\"}\n        mock_get_records.return_value = []\n        containers = [{\"container_id\": \"c1\", \"name\": \"container1\"}]\n\n        result = attach_mcp_container_permissions(\n            containers=containers,\n            tenant_id='tid',\n            user_id='speed_user'\n        )\n\n        self.assertEqual(result[0][\"permission\"], \"EDIT\")\n\n    @patch('backend.services.remote_mcp_service.get_user_tenant_by_user_id')\n    @patch('backend.services.remote_mcp_service.get_mcp_records_by_tenant')\n    def test_regular_user_own_container_edit(self, mock_get_records, mock_get_user_tenant):\n        \"\"\"Test when regular user owns container - should have EDIT permission\"\"\"\n        mock_get_user_tenant.return_value = {\"user_role\": \"USER\"}\n        mock_get_records.return_value = [\n            {\"container_id\": \"c1\", \"created_by\": \"user123\"}\n        ]\n        containers = [{\"container_id\": \"c1\", \"name\": \"container1\"}]\n\n        result = attach_mcp_container_permissions(\n            containers=containers,\n            tenant_id='tid',\n            user_id='user123'\n        )\n\n        self.assertEqual(result[0][\"permission\"], \"EDIT\")\n\n    @patch('backend.services.remote_mcp_service.get_user_tenant_by_user_id')\n    @patch('backend.services.remote_mcp_service.get_mcp_records_by_tenant')\n    def test_regular_user_other_container_read(self, mock_get_records, mock_get_user_tenant):\n        \"\"\"Test when regular user doesn't own container - should have READ_ONLY permission\"\"\"\n        mock_get_user_tenant.return_value = {\"user_role\": \"USER\"}\n        mock_get_records.return_value = [\n            {\"container_id\": \"c1\", \"created_by\": \"other_user\"}\n        ]\n        containers = [{\"container_id\": \"c1\", \"name\": \"container1\"}]\n\n        result = attach_mcp_container_permissions(\n            containers=containers,\n            tenant_id='tid',\n            user_id='user123'\n        )\n\n        self.assertEqual(result[0][\"permission\"], \"READ_ONLY\")\n\n    @patch('backend.services.remote_mcp_service.get_user_tenant_by_user_id')\n    @patch('backend.services.remote_mcp_service.get_mcp_records_by_tenant')\n    def test_regular_user_no_record_read(self, mock_get_records, mock_get_user_tenant):\n        \"\"\"Test when container has no associated MCP record - should have READ_ONLY permission\"\"\"\n        mock_get_user_tenant.return_value = {\"user_role\": \"USER\"}\n        mock_get_records.return_value = []\n        containers = [{\"container_id\": \"c1\", \"name\": \"container1\"}]\n\n        result = attach_mcp_container_permissions(\n            containers=containers,\n            tenant_id='tid',\n            user_id='user123'\n        )\n\n        self.assertEqual(result[0][\"permission\"], \"READ_ONLY\")\n\n    @patch('backend.services.remote_mcp_service.get_user_tenant_by_user_id')\n    @patch('backend.services.remote_mcp_service.get_mcp_records_by_tenant')\n    def test_record_uses_user_id_fallback(self, mock_get_records, mock_get_user_tenant):\n        \"\"\"Test when record uses user_id instead of created_by\"\"\"\n        mock_get_user_tenant.return_value = {\"user_role\": \"USER\"}\n        mock_get_records.return_value = [\n            {\"container_id\": \"c1\", \"user_id\": \"user123\"}  # No created_by, uses user_id\n        ]\n        containers = [{\"container_id\": \"c1\", \"name\": \"container1\"}]\n\n        result = attach_mcp_container_permissions(\n            containers=containers,\n            tenant_id='tid',\n            user_id='user123'\n        )\n\n        self.assertEqual(result[0][\"permission\"], \"EDIT\")\n\n    @patch('backend.services.remote_mcp_service.get_user_tenant_by_user_id')\n    @patch('backend.services.remote_mcp_service.get_mcp_records_by_tenant')\n    def test_record_no_created_by_no_user_id(self, mock_get_records, mock_get_user_tenant):\n        \"\"\"Test when record has neither created_by nor user_id\"\"\"\n        mock_get_user_tenant.return_value = {\"user_role\": \"USER\"}\n        mock_get_records.return_value = [\n            {\"container_id\": \"c1\"}  # No created_by or user_id\n        ]\n        containers = [{\"container_id\": \"c1\", \"name\": \"container1\"}]\n\n        result = attach_mcp_container_permissions(\n            containers=containers,\n            tenant_id='tid',\n            user_id='user123'\n        )\n\n        self.assertEqual(result[0][\"permission\"], \"READ_ONLY\")\n\n    @patch('backend.services.remote_mcp_service.get_user_tenant_by_user_id')\n    @patch('backend.services.remote_mcp_service.get_mcp_records_by_tenant')\n    def test_record_without_container_id_skipped(self, mock_get_records, mock_get_user_tenant):\n        \"\"\"Test that records without container_id are skipped\"\"\"\n        mock_get_user_tenant.return_value = {\"user_role\": \"USER\"}\n        mock_get_records.return_value = [\n            {\"created_by\": \"user123\"},  # No container_id - should be skipped\n            {\"container_id\": \"c2\", \"created_by\": \"user123\"}\n        ]\n        containers = [\n            {\"container_id\": \"c1\", \"name\": \"container1\"},  # No record for c1\n            {\"container_id\": \"c2\", \"name\": \"container2\"}   # Has record for c2\n        ]\n\n        result = attach_mcp_container_permissions(\n            containers=containers,\n            tenant_id='tid',\n            user_id='user123'\n        )\n\n        self.assertEqual(result[0][\"permission\"], \"READ_ONLY\")  # c1 has no record\n        self.assertEqual(result[1][\"permission\"], \"EDIT\")  # c2 owned by user123\n\n    @patch('backend.services.remote_mcp_service.get_user_tenant_by_user_id')\n    @patch('backend.services.remote_mcp_service.get_mcp_records_by_tenant')\n    def test_get_records_returns_none(self, mock_get_records, mock_get_user_tenant):\n        \"\"\"Test when get_mcp_records_by_tenant returns None\"\"\"\n        mock_get_user_tenant.return_value = {\"user_role\": \"USER\"}\n        mock_get_records.return_value = None\n        containers = [{\"container_id\": \"c1\", \"name\": \"container1\"}]\n\n        result = attach_mcp_container_permissions(\n            containers=containers,\n            tenant_id='tid',\n            user_id='user123'\n        )\n\n        self.assertEqual(result[0][\"permission\"], \"READ_ONLY\")\n\n    @patch('backend.services.remote_mcp_service.logger')\n    @patch('backend.services.remote_mcp_service.get_user_tenant_by_user_id')\n    @patch('backend.services.remote_mcp_service.get_mcp_records_by_tenant')\n    def test_get_records_exception_handled(self, mock_get_records, mock_get_user_tenant, mock_logger):\n        \"\"\"Test when get_mcp_records_by_tenant raises exception - should log warning and continue\"\"\"\n        mock_get_user_tenant.return_value = {\"user_role\": \"USER\"}\n        mock_get_records.side_effect = Exception(\"Database error\")\n        containers = [{\"container_id\": \"c1\", \"name\": \"container1\"}]\n\n        result = attach_mcp_container_permissions(\n            containers=containers,\n            tenant_id='tid',\n            user_id='user123'\n        )\n\n        # Should still return result with READ_ONLY permission\n        self.assertEqual(result[0][\"permission\"], \"READ_ONLY\")\n        # Should log warning\n        mock_logger.warning.assert_called_once()\n        warning_msg = mock_logger.warning.call_args[0][0]\n        self.assertIn(\"Failed to load MCP records for permission mapping\", warning_msg)\n\n    @patch('backend.services.remote_mcp_service.get_user_tenant_by_user_id')\n    @patch('backend.services.remote_mcp_service.get_mcp_records_by_tenant')\n    def test_user_tenant_record_none(self, mock_get_records, mock_get_user_tenant):\n        \"\"\"Test when get_user_tenant_by_user_id returns None\"\"\"\n        mock_get_user_tenant.return_value = None\n        mock_get_records.return_value = []\n        containers = [{\"container_id\": \"c1\", \"name\": \"container1\"}]\n\n        result = attach_mcp_container_permissions(\n            containers=containers,\n            tenant_id='tid',\n            user_id='user123'\n        )\n\n        # Should default to READ_ONLY when no user role\n        self.assertEqual(result[0][\"permission\"], \"READ_ONLY\")\n\n    @patch('backend.services.remote_mcp_service.get_user_tenant_by_user_id')\n    @patch('backend.services.remote_mcp_service.get_mcp_records_by_tenant')\n    def test_user_tenant_record_empty_dict(self, mock_get_records, mock_get_user_tenant):\n        \"\"\"Test when get_user_tenant_by_user_id returns empty dict\"\"\"\n        mock_get_user_tenant.return_value = {}\n        mock_get_records.return_value = []\n        containers = [{\"container_id\": \"c1\", \"name\": \"container1\"}]\n\n        result = attach_mcp_container_permissions(\n            containers=containers,\n            tenant_id='tid',\n            user_id='user123'\n        )\n\n        self.assertEqual(result[0][\"permission\"], \"READ_ONLY\")\n\n    @patch('backend.services.remote_mcp_service.get_user_tenant_by_user_id')\n    @patch('backend.services.remote_mcp_service.get_mcp_records_by_tenant')\n    def test_user_role_case_insensitive(self, mock_get_records, mock_get_user_tenant):\n        \"\"\"Test that user role comparison is case-insensitive (converted to uppercase)\"\"\"\n        mock_get_user_tenant.return_value = {\"user_role\": \"admin\"}  # lowercase\n        mock_get_records.return_value = []\n        containers = [{\"container_id\": \"c1\", \"name\": \"container1\"}]\n\n        result = attach_mcp_container_permissions(\n            containers=containers,\n            tenant_id='tid',\n            user_id='admin_user'\n        )\n\n        # Should still get EDIT permission because \"admin\" -> \"ADMIN\" matches CAN_EDIT_ALL_USER_ROLES\n        self.assertEqual(result[0][\"permission\"], \"EDIT\")\n\n    @patch('backend.services.remote_mcp_service.get_user_tenant_by_user_id')\n    @patch('backend.services.remote_mcp_service.get_mcp_records_by_tenant')\n    def test_user_role_none_or_empty(self, mock_get_records, mock_get_user_tenant):\n        \"\"\"Test when user_role is None or empty string\"\"\"\n        mock_get_user_tenant.return_value = {\"user_role\": None}\n        mock_get_records.return_value = [\n            {\"container_id\": \"c1\", \"created_by\": \"user123\"}\n        ]\n        containers = [{\"container_id\": \"c1\", \"name\": \"container1\"}]\n\n        result = attach_mcp_container_permissions(\n            containers=containers,\n            tenant_id='tid',\n            user_id='user123'\n        )\n\n        # Should check ownership since role is not in CAN_EDIT_ALL_USER_ROLES\n        self.assertEqual(result[0][\"permission\"], \"EDIT\")  # Owned by user123\n\n    @patch('backend.services.remote_mcp_service.get_user_tenant_by_user_id')\n    @patch('backend.services.remote_mcp_service.get_mcp_records_by_tenant')\n    def test_container_id_none_converted_to_string(self, mock_get_records, mock_get_user_tenant):\n        \"\"\"Test when container_id is None - should be converted to string\"\"\"\n        mock_get_user_tenant.return_value = {\"user_role\": \"USER\"}\n        mock_get_records.return_value = []\n        containers = [{\"container_id\": None, \"name\": \"container1\"}]\n\n        result = attach_mcp_container_permissions(\n            containers=containers,\n            tenant_id='tid',\n            user_id='user123'\n        )\n\n        # Should handle None container_id gracefully\n        self.assertEqual(result[0][\"permission\"], \"READ_ONLY\")\n\n    @patch('backend.services.remote_mcp_service.get_user_tenant_by_user_id')\n    @patch('backend.services.remote_mcp_service.get_mcp_records_by_tenant')\n    def test_mixed_scenario_multiple_containers(self, mock_get_records, mock_get_user_tenant):\n        \"\"\"Test complex scenario with multiple containers and mixed permissions\"\"\"\n        mock_get_user_tenant.return_value = {\"user_role\": \"USER\"}\n        mock_get_records.return_value = [\n            {\"container_id\": \"c1\", \"created_by\": \"user123\"},  # Owned by user\n            {\"container_id\": \"c2\", \"created_by\": \"other_user\"},  # Owned by other\n            {\"container_id\": \"c3\", \"user_id\": \"user123\"},  # Owned by user (via user_id)\n        ]\n        containers = [\n            {\"container_id\": \"c1\", \"name\": \"container1\"},\n            {\"container_id\": \"c2\", \"name\": \"container2\"},\n            {\"container_id\": \"c3\", \"name\": \"container3\"},\n            {\"container_id\": \"c4\", \"name\": \"container4\"},  # No record\n        ]\n\n        result = attach_mcp_container_permissions(\n            containers=containers,\n            tenant_id='tid',\n            user_id='user123'\n        )\n\n        self.assertEqual(len(result), 4)\n        self.assertEqual(result[0][\"permission\"], \"EDIT\")  # c1 owned by user123\n        self.assertEqual(result[1][\"permission\"], \"READ_ONLY\")  # c2 owned by other\n        self.assertEqual(result[2][\"permission\"], \"EDIT\")  # c3 owned by user123\n        self.assertEqual(result[3][\"permission\"], \"READ_ONLY\")  # c4 no record\n\n    @patch('backend.services.remote_mcp_service.get_user_tenant_by_user_id')\n    @patch('backend.services.remote_mcp_service.get_mcp_records_by_tenant')\n    def test_container_id_string_matching(self, mock_get_records, mock_get_user_tenant):\n        \"\"\"Test that container_id string matching works correctly\"\"\"\n        mock_get_user_tenant.return_value = {\"user_role\": \"USER\"}\n        mock_get_records.return_value = [\n            {\"container_id\": 123, \"created_by\": \"user123\"},  # Numeric container_id\n        ]\n        containers = [\n            {\"container_id\": \"123\", \"name\": \"container1\"},  # String container_id\n        ]\n\n        result = attach_mcp_container_permissions(\n            containers=containers,\n            tenant_id='tid',\n            user_id='user123'\n        )\n\n        # Should match because both are converted to strings\n        self.assertEqual(result[0][\"permission\"], \"EDIT\")\n\n    @patch('backend.services.remote_mcp_service.get_user_tenant_by_user_id')\n    @patch('backend.services.remote_mcp_service.get_mcp_records_by_tenant')\n    def test_created_by_string_matching(self, mock_get_records, mock_get_user_tenant):\n        \"\"\"Test that created_by and user_id string matching works correctly\"\"\"\n        mock_get_user_tenant.return_value = {\"user_role\": \"USER\"}\n        mock_get_records.return_value = [\n            {\"container_id\": \"c1\", \"created_by\": 123},  # Numeric created_by\n        ]\n        containers = [{\"container_id\": \"c1\", \"name\": \"container1\"}]\n\n        result = attach_mcp_container_permissions(\n            containers=containers,\n            tenant_id='tid',\n            user_id=123  # Numeric user_id\n        )\n\n        # Should match because both are converted to strings\n        self.assertEqual(result[0][\"permission\"], \"EDIT\")\n\n    @patch('backend.services.remote_mcp_service.get_user_tenant_by_user_id')\n    @patch('backend.services.remote_mcp_service.get_mcp_records_by_tenant')\n    def test_container_preserves_original_fields(self, mock_get_records, mock_get_user_tenant):\n        \"\"\"Test that original container fields are preserved in result\"\"\"\n        mock_get_user_tenant.return_value = {\"user_role\": \"USER\"}\n        mock_get_records.return_value = []\n        containers = [\n            {\n                \"container_id\": \"c1\",\n                \"name\": \"container1\",\n                \"status\": \"running\",\n                \"port\": 8080\n            }\n        ]\n\n        result = attach_mcp_container_permissions(\n            containers=containers,\n            tenant_id='tid',\n            user_id='user123'\n        )\n\n        self.assertEqual(result[0][\"container_id\"], \"c1\")\n        self.assertEqual(result[0][\"name\"], \"container1\")\n        self.assertEqual(result[0][\"status\"], \"running\")\n        self.assertEqual(result[0][\"port\"], 8080)\n        self.assertEqual(result[0][\"permission\"], \"READ_ONLY\")\n\n\nclass TestGetMcpRecordById(unittest.IsolatedAsyncioTestCase):\n    \"\"\"Test get_mcp_record_by_id function\"\"\"\n\n    @patch('backend.services.remote_mcp_service.get_mcp_record_by_id_and_tenant')\n    async def test_get_mcp_record_success(self, mock_get_record):\n        \"\"\"Test successful retrieval of MCP record\"\"\"\n        mock_get_record.return_value = {\n            \"mcp_name\": \"test-service\",\n            \"mcp_server\": \"http://test.com/mcp\",\n            \"authorization_token\": \"Bearer token123\",\n            \"status\": True,\n            \"mcp_id\": 1\n        }\n\n        result = await get_mcp_record_by_id(mcp_id=1, tenant_id=\"tenant123\")\n\n        self.assertIsNotNone(result)\n        self.assertEqual(result[\"mcp_name\"], \"test-service\")\n        self.assertEqual(result[\"mcp_server\"], \"http://test.com/mcp\")\n        self.assertEqual(result[\"authorization_token\"], \"Bearer token123\")\n\n        mock_get_record.assert_called_once_with(mcp_id=1, tenant_id=\"tenant123\")\n\n    @patch('backend.services.remote_mcp_service.get_mcp_record_by_id_and_tenant')\n    async def test_get_mcp_record_not_found(self, mock_get_record):\n        \"\"\"Test when MCP record does not exist\"\"\"\n        mock_get_record.return_value = None\n\n        result = await get_mcp_record_by_id(mcp_id=999, tenant_id=\"tenant123\")\n\n        self.assertIsNone(result)\n        mock_get_record.assert_called_once_with(mcp_id=999, tenant_id=\"tenant123\")\n\n    @patch('backend.services.remote_mcp_service.get_mcp_record_by_id_and_tenant')\n    async def test_get_mcp_record_with_none_authorization_token(self, mock_get_record):\n        \"\"\"Test MCP record with None authorization token\"\"\"\n        mock_get_record.return_value = {\n            \"mcp_name\": \"test-service\",\n            \"mcp_server\": \"http://test.com/mcp\",\n            \"authorization_token\": None,\n            \"status\": True,\n            \"mcp_id\": 1\n        }\n\n        result = await get_mcp_record_by_id(mcp_id=1, tenant_id=\"tenant123\")\n\n        self.assertIsNotNone(result)\n        self.assertEqual(result[\"mcp_name\"], \"test-service\")\n        self.assertEqual(result[\"mcp_server\"], \"http://test.com/mcp\")\n        self.assertIsNone(result[\"authorization_token\"])\n\n    @patch('backend.services.remote_mcp_service.get_mcp_record_by_id_and_tenant')\n    async def test_get_mcp_record_with_missing_fields(self, mock_get_record):\n        \"\"\"Test MCP record with missing optional fields\"\"\"\n        mock_get_record.return_value = {\n            \"mcp_name\": \"test-service\",\n            \"mcp_server\": \"http://test.com/mcp\",\n            # authorization_token missing\n            \"status\": True,\n            \"mcp_id\": 1\n        }\n\n        result = await get_mcp_record_by_id(mcp_id=1, tenant_id=\"tenant123\")\n\n        self.assertIsNotNone(result)\n        self.assertEqual(result[\"mcp_name\"], \"test-service\")\n        self.assertEqual(result[\"mcp_server\"], \"http://test.com/mcp\")\n        self.assertIsNone(result[\"authorization_token\"])  # Should be None when missing\n\n    @patch('backend.services.remote_mcp_service.get_mcp_record_by_id_and_tenant')\n    async def test_get_mcp_record_with_empty_dict(self, mock_get_record):\n        \"\"\"Test when database returns empty dict (should not happen but handle gracefully)\"\"\"\n        mock_get_record.return_value = {}\n\n        result = await get_mcp_record_by_id(mcp_id=1, tenant_id=\"tenant123\")\n\n        # Empty dict is falsy, so should return None\n        self.assertIsNone(result)\n\n    @patch('backend.services.remote_mcp_service.get_mcp_record_by_id_and_tenant')\n    async def test_get_mcp_record_different_tenant(self, mock_get_record):\n        \"\"\"Test getting MCP record with different tenant ID\"\"\"\n        mock_get_record.return_value = {\n            \"mcp_name\": \"test-service\",\n            \"mcp_server\": \"http://test.com/mcp\",\n            \"authorization_token\": \"token123\",\n            \"status\": True,\n            \"mcp_id\": 1\n        }\n\n        result = await get_mcp_record_by_id(mcp_id=1, tenant_id=\"different_tenant\")\n\n        self.assertIsNotNone(result)\n        mock_get_record.assert_called_once_with(mcp_id=1, tenant_id=\"different_tenant\")\n\n    @patch('backend.services.remote_mcp_service.get_mcp_record_by_id_and_tenant')\n    async def test_get_mcp_record_returns_only_required_fields(self, mock_get_record):\n        \"\"\"Test that function returns only mcp_name, mcp_server, and authorization_token\"\"\"\n        mock_get_record.return_value = {\n            \"mcp_name\": \"test-service\",\n            \"mcp_server\": \"http://test.com/mcp\",\n            \"authorization_token\": \"token123\",\n            \"status\": True,\n            \"mcp_id\": 1,\n            \"container_id\": \"container-123\",\n            \"created_by\": \"user123\",\n            \"other_field\": \"should_not_be_included\"\n        }\n\n        result = await get_mcp_record_by_id(mcp_id=1, tenant_id=\"tenant123\")\n\n        self.assertIsNotNone(result)\n        # Should only contain the three required fields\n        self.assertEqual(set(result.keys()), {\"mcp_name\", \"mcp_server\", \"authorization_token\"})\n        self.assertNotIn(\"status\", result)\n        self.assertNotIn(\"mcp_id\", result)\n        self.assertNotIn(\"container_id\", result)\n        self.assertNotIn(\"created_by\", result)\n        self.assertNotIn(\"other_field\", result)\n\n\nif __name__ == '__main__':\n    unittest.main()\n"
  },
  {
    "path": "test/backend/services/test_tenant_service.py",
    "content": "import sys\nimport os\nsys.path.insert(0, os.path.join(os.path.dirname(__file__), \"../../..\"))\n\nimport pytest\nfrom unittest.mock import patch, MagicMock\n\n# Mock external dependencies before importing\nsys.modules['psycopg2'] = MagicMock()\nsys.modules['boto3'] = MagicMock()\nsys.modules['supabase'] = MagicMock()\n\n# Patch storage factory and MinIO config validation to avoid errors during initialization\n# These patches must be started before any imports that use MinioClient\nstorage_client_mock = MagicMock()\nminio_client_mock = MagicMock()\npatch('nexent.storage.storage_client_factory.create_storage_client_from_config',\n      return_value=storage_client_mock).start()\npatch('nexent.storage.minio_config.MinIOStorageConfig.validate',\n      lambda self: None).start()\npatch('backend.database.client.MinioClient',\n      return_value=minio_client_mock).start()\n\nfrom consts.exceptions import ValidationError, NotFoundException\nfrom backend.services.tenant_service import (\n    get_tenant_info,\n    get_tenants_paginated,\n    create_tenant,\n    update_tenant_info,\n    delete_tenant,\n    _create_default_group_for_tenant,\n    check_tenant_name_exists\n)\n\n\n@pytest.fixture\ndef service_mocks():\n    \"\"\"Create mocks for service layer dependencies\"\"\"\n    with patch('backend.services.tenant_service.get_single_config_info') as mock_get_single_config, \\\n            patch('backend.services.tenant_service.insert_config') as mock_insert_config, \\\n            patch('backend.services.tenant_service.update_config_by_tenant_config_id') as mock_update_config, \\\n            patch('backend.services.tenant_service.get_all_tenant_ids') as mock_get_all_tenant_ids, \\\n            patch('backend.services.tenant_service.add_group') as mock_add_group:\n\n        yield {\n            'get_single_config_info': mock_get_single_config,\n            'insert_config': mock_insert_config,\n            'update_config_by_tenant_config_id': mock_update_config,\n            'get_all_tenant_ids': mock_get_all_tenant_ids,\n            'add_group': mock_add_group\n        }\n\n\nclass TestGetTenantInfo:\n    \"\"\"Test cases for get_tenant_info function\"\"\"\n\n    def test_get_tenant_info_success(self, service_mocks):\n        \"\"\"Test successfully retrieving tenant information\"\"\"\n        # Setup\n        tenant_id = \"test_tenant_id\"\n        expected_name = \"Test Tenant\"\n        expected_group_id = \"group-123\"\n\n        # Mock config functions\n        service_mocks['get_single_config_info'].side_effect = [\n            {\"config_value\": expected_name},  # TENANT_NAME\n            {\"config_value\": expected_group_id}  # DEFAULT_GROUP_ID\n        ]\n\n        # Execute\n        result = get_tenant_info(tenant_id)\n\n        # Assert\n        assert result[\"tenant_id\"] == tenant_id\n        assert result[\"tenant_name\"] == expected_name\n        assert result[\"default_group_id\"] == expected_group_id\n\n        # Verify calls\n        service_mocks['get_single_config_info'].assert_any_call(\n            tenant_id, \"TENANT_NAME\")\n        service_mocks['get_single_config_info'].assert_any_call(\n            tenant_id, \"DEFAULT_GROUP_ID\")\n\n    def test_get_tenant_info_name_not_found(self, service_mocks):\n        \"\"\"Test get_tenant_info when tenant name is not found - should auto-create config\"\"\"\n        # Setup\n        tenant_id = \"test_tenant_id\"\n\n        # Mock config functions\n        service_mocks['get_single_config_info'].side_effect = [\n            {},                    # TENANT_NAME first check (not found)\n            {},                    # TENANT_NAME check in _ensure_tenant_name_config (double-check)\n            {\"config_value\": \"Unnamed Tenant\", \"tenant_config_id\": 1},  # TENANT_NAME after auto-create\n            {\"config_value\": \"group-123\"}  # DEFAULT_GROUP_ID\n        ]\n        service_mocks['insert_config'].return_value = True\n\n        # Execute\n        result = get_tenant_info(tenant_id)\n\n        # Assert - should return tenant info with auto-created default name\n        assert result[\"tenant_id\"] == tenant_id\n        assert result[\"tenant_name\"] == \"Unnamed Tenant\"\n        assert result[\"default_group_id\"] == \"group-123\"\n\n        # Verify insert_config was called to create the missing config\n        service_mocks['insert_config'].assert_called_once()\n\n    def test_get_tenant_info_with_empty_group_id(self, service_mocks):\n        \"\"\"Test get_tenant_info when default group ID is empty\"\"\"\n        # Setup\n        tenant_id = \"test_tenant_id\"\n        expected_name = \"Test Tenant\"\n\n        # Mock config functions\n        service_mocks['get_single_config_info'].side_effect = [\n            {\"config_value\": expected_name},  # TENANT_NAME\n            {}  # DEFAULT_GROUP_ID not found\n        ]\n\n        # Execute\n        result = get_tenant_info(tenant_id)\n\n        # Assert\n        assert result[\"tenant_id\"] == tenant_id\n        assert result[\"tenant_name\"] == expected_name\n        assert result[\"default_group_id\"] == \"\"\n\n    def test_get_tenant_info_get_single_config_exception(self, service_mocks):\n        \"\"\"Test get_tenant_info when get_single_config_info raises exception\"\"\"\n        # Setup\n        tenant_id = \"test_tenant_id\"\n\n        # Mock get_single_config_info to raise exception\n        service_mocks['get_single_config_info'].side_effect = Exception(\n            \"Database connection error\")\n\n        # Execute & Assert\n        with pytest.raises(Exception, match=\"Database connection error\"):\n            get_tenant_info(tenant_id)\n\n    def test_get_tenant_info_both_configs_none(self, service_mocks):\n        \"\"\"Test get_tenant_info when both configs return None - should auto-create name config\"\"\"\n        # Setup\n        tenant_id = \"test_tenant_id\"\n\n        # Mock config functions:\n        # 1st call: TENANT_NAME not found (None)\n        # 2nd call: TENANT_NAME check in _ensure_tenant_name_config (None - double-check)\n        # 3rd call: after insert, re-fetch returns the created config\n        # 4th call: DEFAULT_GROUP_ID returns None\n        service_mocks['get_single_config_info'].side_effect = [\n            None,                    # TENANT_NAME first check (None)\n            None,                    # TENANT_NAME check in _ensure_tenant_name_config\n            {\"config_value\": \"Unnamed Tenant\", \"tenant_config_id\": 1},  # TENANT_NAME after auto-create\n            None                     # DEFAULT_GROUP_ID (None)\n        ]\n        service_mocks['insert_config'].return_value = True\n\n        # Execute\n        result = get_tenant_info(tenant_id)\n\n        # Assert - should return tenant info with auto-created default name and empty group_id\n        assert result[\"tenant_id\"] == tenant_id\n        assert result[\"tenant_name\"] == \"Unnamed Tenant\"\n        assert result[\"default_group_id\"] == \"\"\n\n        # Verify insert_config was called to create the missing config\n        service_mocks['insert_config'].assert_called_once()\n\n\nclass TestGetTenantsPaginated:\n    \"\"\"Test cases for get_tenants_paginated function\"\"\"\n\n    def test_get_tenants_paginated_success(self, service_mocks):\n        \"\"\"Test successfully retrieving tenants with pagination\"\"\"\n        # Setup\n        tenant_ids = [\"tenant1\", \"tenant2\", \"tenant3\"]\n        tenant_infos = [\n            {\"tenant_id\": \"tenant1\", \"tenant_name\": \"Tenant 1\", \"default_group_id\": \"group1\"},\n            {\"tenant_id\": \"tenant2\", \"tenant_name\": \"Tenant 2\", \"default_group_id\": \"group2\"},\n            {\"tenant_id\": \"tenant3\", \"tenant_name\": \"Tenant 3\", \"default_group_id\": \"group3\"}\n        ]\n\n        # Mock dependencies\n        with patch('backend.services.tenant_service.get_all_tenant_ids', return_value=tenant_ids), \\\n             patch('backend.services.tenant_service.get_tenant_info', side_effect=tenant_infos):\n\n            # Execute\n            result = get_tenants_paginated(page=1, page_size=20)\n\n            # Assert\n            assert result[\"total\"] == 3\n            assert result[\"page\"] == 1\n            assert result[\"page_size\"] == 20\n            assert result[\"total_pages\"] == 1\n            assert len(result[\"data\"]) == 3\n            assert result[\"data\"] == tenant_infos\n\n    def test_get_tenants_paginated_with_missing_configs(self, service_mocks):\n        \"\"\"Test get_tenants_paginated when some tenants have missing configs\"\"\"\n        # Setup\n        tenant_ids = [\"tenant1\", \"tenant2\", \"tenant3\"]\n\n        # Mock get_tenant_info to return tenant info for all, but with missing configs for tenant3\n        def mock_get_tenant_info(tenant_id):\n            if tenant_id == \"tenant3\":\n                # Simulate missing name config - returns empty name\n                return {\n                    \"tenant_id\": tenant_id,\n                    \"tenant_name\": \"\",  # Missing name config\n                    \"default_group_id\": \"group3\"\n                }\n            return {\n                \"tenant_id\": tenant_id,\n                \"tenant_name\": f\"Tenant {tenant_id[-1]}\",\n                \"default_group_id\": f\"group{tenant_id[-1]}\"\n            }\n\n        # Mock dependencies\n        with patch('backend.services.tenant_service.get_all_tenant_ids', return_value=tenant_ids), \\\n             patch('backend.services.tenant_service.get_tenant_info', side_effect=mock_get_tenant_info):\n\n            # Execute\n            result = get_tenants_paginated(page=1, page_size=20)\n\n            # Assert - should return all tenants, with failed tenant having empty fields\n            assert result[\"total\"] == 3\n            assert len(result[\"data\"]) == 3\n            assert result[\"data\"][0][\"tenant_id\"] == \"tenant1\"\n            assert result[\"data\"][0][\"tenant_name\"] == \"Tenant 1\"\n            assert result[\"data\"][0][\"default_group_id\"] == \"group1\"\n            assert result[\"data\"][1][\"tenant_id\"] == \"tenant2\"\n            assert result[\"data\"][1][\"tenant_name\"] == \"Tenant 2\"\n            assert result[\"data\"][1][\"default_group_id\"] == \"group2\"\n            # Failed tenant should have empty name and default_group_id\n            assert result[\"data\"][2][\"tenant_id\"] == \"tenant3\"\n            assert result[\"data\"][2][\"tenant_name\"] == \"\"\n            assert result[\"data\"][2][\"default_group_id\"] == 'group3'\n\n    def test_get_tenants_paginated_empty_list(self, service_mocks):\n        \"\"\"Test get_tenants_paginated when no tenants exist\"\"\"\n        # Mock dependencies\n        with patch('backend.services.tenant_service.get_all_tenant_ids', return_value=[]) as mock_get_tenant_ids:\n\n            # Execute\n            result = get_tenants_paginated(page=1, page_size=20)\n\n            # Assert\n            assert result[\"data\"] == []\n            assert result[\"total\"] == 0\n            assert result[\"total_pages\"] == 1\n            mock_get_tenant_ids.assert_called_once()\n\n    def test_get_tenants_paginated_get_all_tenant_ids_exception(self, service_mocks):\n        \"\"\"Test get_tenants_paginated when get_all_tenant_ids raises exception\"\"\"\n        # Mock dependencies\n        with patch('backend.services.tenant_service.get_all_tenant_ids', side_effect=Exception(\"Database error\")) as mock_get_tenant_ids:\n\n            # Execute & Assert\n            with pytest.raises(Exception, match=\"Database error\"):\n                get_tenants_paginated(page=1, page_size=20)\n\n    def test_get_tenants_paginated_custom_page_size(self, service_mocks):\n        \"\"\"Test get_tenants_paginated with custom page and page_size\"\"\"\n        # Setup\n        tenant_ids = [\"tenant1\", \"tenant2\", \"tenant3\", \"tenant4\", \"tenant5\"]\n\n        # Create a function that returns tenant info based on tenant_id\n        def mock_get_tenant_info(tenant_id):\n            idx = int(tenant_id.replace(\"tenant\", \"\"))\n            return {\"tenant_id\": tenant_id, \"tenant_name\": f\"Tenant {idx}\", \"default_group_id\": f\"group{idx}\"}\n\n        # Mock dependencies\n        with patch('backend.services.tenant_service.get_all_tenant_ids', return_value=tenant_ids), \\\n             patch('backend.services.tenant_service.get_tenant_info', side_effect=mock_get_tenant_info):\n\n            # Execute - page 2 with page_size 2 should return tenants 3 and 4\n            result = get_tenants_paginated(page=2, page_size=2)\n\n            # Assert\n            assert result[\"total\"] == 5\n            assert result[\"page\"] == 2\n            assert result[\"page_size\"] == 2\n            assert result[\"total_pages\"] == 3\n            assert len(result[\"data\"]) == 2\n            assert result[\"data\"][0][\"tenant_id\"] == \"tenant3\"\n            assert result[\"data\"][1][\"tenant_id\"] == \"tenant4\"\n\n    def test_get_tenants_paginated_last_page(self, service_mocks):\n        \"\"\"Test get_tenants_paginated on the last page with fewer items\"\"\"\n        # Setup\n        tenant_ids = [\"tenant1\", \"tenant2\", \"tenant3\", \"tenant4\", \"tenant5\"]\n\n        # Create a function that returns tenant info based on tenant_id\n        def mock_get_tenant_info(tenant_id):\n            idx = int(tenant_id.replace(\"tenant\", \"\"))\n            return {\"tenant_id\": tenant_id, \"tenant_name\": f\"Tenant {idx}\", \"default_group_id\": f\"group{idx}\"}\n\n        # Mock dependencies\n        with patch('backend.services.tenant_service.get_all_tenant_ids', return_value=tenant_ids), \\\n             patch('backend.services.tenant_service.get_tenant_info', side_effect=mock_get_tenant_info):\n\n            # Execute - page 3 with page_size 2 should return only tenant5\n            result = get_tenants_paginated(page=3, page_size=2)\n\n            # Assert\n            assert result[\"total\"] == 5\n            assert result[\"page\"] == 3\n            assert result[\"page_size\"] == 2\n            assert result[\"total_pages\"] == 3\n            assert len(result[\"data\"]) == 1\n            assert result[\"data\"][0][\"tenant_id\"] == \"tenant5\"\n\n\nclass TestCreateTenant:\n    \"\"\"Test cases for create_tenant function\"\"\"\n\n    def test_create_tenant_success(self, service_mocks):\n        \"\"\"Test successfully creating a tenant\"\"\"\n        # Setup\n        tenant_name = \"New Tenant\"\n        user_id = \"creator_user\"\n        group_id = 123\n\n        # Mock check_tenant_name_exists to return False (name not taken)\n        with patch('backend.services.tenant_service.check_tenant_name_exists', return_value=False), \\\n             patch('backend.services.tenant_service._create_default_group_for_tenant', return_value=group_id):\n\n            # Configure insert_config to succeed\n            service_mocks['insert_config'].return_value = True\n\n            # Execute\n            result = create_tenant(tenant_name, user_id)\n\n            # Assert\n            assert result[\"tenant_name\"] == tenant_name\n            assert result[\"default_group_id\"] == str(group_id)\n            assert \"tenant_id\" in result  # tenant_id is auto-generated UUID\n\n            # Verify config insertions were called (3 configs: ID, name, group)\n            assert service_mocks['insert_config'].call_count == 3\n\n    def test_create_tenant_name_already_exists(self, service_mocks):\n        \"\"\"Test creating tenant with a name that already exists\"\"\"\n        # Setup\n        tenant_name = \"Existing Tenant\"\n        user_id = \"creator_user\"\n\n        # Mock check_tenant_name_exists to return True (name already taken)\n        with patch('backend.services.tenant_service.check_tenant_name_exists', return_value=True):\n\n            # Execute & Assert\n            with pytest.raises(ValidationError, match=\"already exists\"):\n                create_tenant(tenant_name, user_id)\n\n    def test_create_tenant_empty_name(self, service_mocks):\n        \"\"\"Test creating tenant with empty name\"\"\"\n        # Setup\n        tenant_name = \"\"\n        user_id = \"creator_user\"\n\n        # Mock check_tenant_name_exists (won't be called due to empty name validation)\n        with patch('backend.services.tenant_service.check_tenant_name_exists', return_value=False):\n\n            # Execute & Assert\n            with pytest.raises(ValidationError, match=\"Tenant name cannot be empty\"):\n                create_tenant(tenant_name, user_id)\n\n    def test_create_tenant_config_insertion_failure(self, service_mocks):\n        \"\"\"Test create_tenant when config insertion fails\"\"\"\n        # Setup\n        tenant_name = \"New Tenant\"\n        user_id = \"creator_user\"\n\n        # Mock dependencies\n        with patch('backend.services.tenant_service.check_tenant_name_exists', return_value=False), \\\n             patch('backend.services.tenant_service._create_default_group_for_tenant', return_value=123):\n\n            service_mocks['insert_config'].return_value = False\n\n            # Execute & Assert\n            with pytest.raises(ValidationError, match=\"Failed to create tenant ID configuration\"):\n                create_tenant(tenant_name, user_id)\n\n    def test_create_tenant_whitespace_name(self, service_mocks):\n        \"\"\"Test creating tenant with whitespace-only name\"\"\"\n        # Setup\n        tenant_name = \"   \\t\\n   \"  # Only whitespace\n        user_id = \"creator_user\"\n\n        # Mock check_tenant_name_exists (won't be called due to whitespace validation)\n        with patch('backend.services.tenant_service.check_tenant_name_exists', return_value=False):\n\n            # Execute & Assert\n            with pytest.raises(ValidationError, match=\"Tenant name cannot be empty\"):\n                create_tenant(tenant_name, user_id)\n\n    def test_create_tenant_tenant_id_config_failure(self, service_mocks):\n        \"\"\"Test create_tenant when tenant ID config insertion fails\"\"\"\n        # Setup\n        tenant_name = \"New Tenant\"\n        user_id = \"creator_user\"\n\n        # Mock dependencies\n        with patch('backend.services.tenant_service.check_tenant_name_exists', return_value=False), \\\n                patch('backend.services.tenant_service._create_default_group_for_tenant', return_value=123):\n\n            # Configure insert_config to fail on first call (tenant ID config)\n            service_mocks['insert_config'].side_effect = [False, True, True]\n\n            # Execute & Assert\n            with pytest.raises(ValidationError, match=\"Failed to create tenant ID configuration\"):\n                create_tenant(tenant_name, user_id)\n\n    def test_create_tenant_group_config_failure(self, service_mocks):\n        \"\"\"Test create_tenant when group config insertion fails\"\"\"\n        # Setup\n        tenant_name = \"New Tenant\"\n        user_id = \"creator_user\"\n\n        # Mock dependencies\n        with patch('backend.services.tenant_service.check_tenant_name_exists', return_value=False), \\\n                patch('backend.services.tenant_service._create_default_group_for_tenant', return_value=123):\n\n            # Configure insert_config to succeed for first two, fail for third (group config)\n            service_mocks['insert_config'].side_effect = [True, True, False]\n\n            # Execute & Assert\n            with pytest.raises(ValidationError, match=\"Failed to create tenant default group configuration\"):\n                create_tenant(tenant_name, user_id)\n\n    def test_create_tenant_default_group_creation_failure(self, service_mocks):\n        \"\"\"Test create_tenant when default group creation fails\"\"\"\n        # Setup\n        tenant_name = \"New Tenant\"\n        user_id = \"creator_user\"\n\n        # Mock dependencies\n        with patch('backend.services.tenant_service.check_tenant_name_exists', return_value=False), \\\n                patch('backend.services.tenant_service._create_default_group_for_tenant', side_effect=ValidationError(\"Group creation failed\")):\n\n            # Execute & Assert\n            with pytest.raises(ValidationError, match=\"Failed to create tenant: Group creation failed\"):\n                create_tenant(tenant_name, user_id)\n\n    def test_create_tenant_unexpected_exception_in_try_block(self, service_mocks):\n        \"\"\"Test create_tenant when unexpected exception occurs in try block\"\"\"\n        # Setup\n        tenant_name = \"New Tenant\"\n        user_id = \"creator_user\"\n\n        # Mock dependencies\n        with patch('backend.services.tenant_service.check_tenant_name_exists', return_value=False), \\\n                patch('backend.services.tenant_service._create_default_group_for_tenant', side_effect=Exception(\"Unexpected error\")):\n\n            # Execute & Assert\n            with pytest.raises(ValidationError, match=\"Failed to create tenant: Unexpected error\"):\n                create_tenant(tenant_name, user_id)\n\n    def test_create_tenant_uuid_collision(self, service_mocks):\n        \"\"\"Test create_tenant when UUID collision occurs (unlikely but possible)\"\"\"\n        # Note: This test is now obsolete since we removed UUID collision check.\n        # UUIDs are random and collision probability is astronomically low.\n        # Keeping for reference - this scenario should never happen in practice.\n        pass\n\n\nclass TestUpdateTenantInfo:\n    \"\"\"Test cases for update_tenant_info function\"\"\"\n\n    def test_update_tenant_info_success(self, service_mocks):\n        \"\"\"Test successfully updating tenant information\"\"\"\n        # Setup\n        tenant_id = \"test_tenant\"\n        new_tenant_name = \"Updated Tenant Name\"\n        user_id = \"updater_user\"\n\n        # Mock config info\n        config_info = {\"tenant_config_id\": 123, \"config_value\": \"Old Name\"}\n\n        # Mock dependencies\n        with patch('backend.services.tenant_service.get_tenant_info') as mock_get_tenant_info:\n\n            service_mocks['get_single_config_info'].return_value = config_info\n            service_mocks['update_config_by_tenant_config_id'].return_value = True\n\n            mock_get_tenant_info.return_value = {\n                \"tenant_id\": tenant_id,\n                \"tenant_name\": new_tenant_name,\n                \"default_group_id\": \"group-123\"\n            }\n\n            # Execute\n            result = update_tenant_info(tenant_id, new_tenant_name, user_id)\n\n            # Assert\n            assert result[\"tenant_id\"] == tenant_id\n            assert result[\"tenant_name\"] == new_tenant_name\n\n    def test_update_tenant_info_tenant_not_found(self, service_mocks):\n        \"\"\"Test update_tenant_info when tenant doesn't exist - should auto-create config\"\"\"\n        # Setup\n        tenant_id = \"nonexistent_tenant\"\n        new_tenant_name = \"Updated Name\"\n        user_id = \"updater_user\"\n\n        # Mock get_single_config_info to return empty dict on first call (TENANT_NAME not found),\n        # then return the newly created config after auto-creation\n        service_mocks['get_single_config_info'].side_effect = [\n            {},  # First check - not found\n            {\"config_value\": new_tenant_name, \"tenant_config_id\": 1}  # After auto-create\n        ]\n        service_mocks['insert_config'].return_value = True\n\n        # Mock get_tenant_info to return updated info\n        with patch('backend.services.tenant_service.get_tenant_info') as mock_get_tenant_info:\n            mock_get_tenant_info.return_value = {\n                \"tenant_id\": tenant_id,\n                \"tenant_name\": new_tenant_name,\n                \"default_group_id\": \"group-123\"\n            }\n\n            # Execute - should NOT raise NotFoundException, instead auto-create config\n            result = update_tenant_info(tenant_id, new_tenant_name, user_id)\n\n            # Assert - update should succeed by auto-creating the config\n            assert result[\"tenant_id\"] == tenant_id\n            assert result[\"tenant_name\"] == new_tenant_name\n\n            # Verify insert_config was called to create the missing config\n            service_mocks['insert_config'].assert_called_once()\n\n    def test_update_tenant_info_empty_name(self, service_mocks):\n        \"\"\"Test update_tenant_info with empty name\"\"\"\n        # Setup\n        tenant_id = \"test_tenant\"\n        new_tenant_name = \"\"\n        user_id = \"updater_user\"\n\n        # Mock config info\n        config_info = {\"tenant_config_id\": 123, \"config_value\": \"Old Name\"}\n\n        # Mock dependencies\n        service_mocks['get_single_config_info'].return_value = config_info\n\n        # Execute & Assert\n        with pytest.raises(ValidationError, match=\"Tenant name cannot be empty\"):\n            update_tenant_info(tenant_id, new_tenant_name, user_id)\n\n    def test_update_tenant_info_update_failure(self, service_mocks):\n        \"\"\"Test update_tenant_info when config update fails\"\"\"\n        # Setup\n        tenant_id = \"test_tenant\"\n        new_tenant_name = \"Updated Name\"\n        user_id = \"updater_user\"\n\n        # Mock config info\n        config_info = {\"tenant_config_id\": 123, \"config_value\": \"Old Name\"}\n\n        # Mock dependencies\n        service_mocks['get_single_config_info'].return_value = config_info\n        service_mocks['update_config_by_tenant_config_id'].return_value = False\n\n        # Execute & Assert\n        with pytest.raises(ValidationError, match=\"Failed to update tenant name\"):\n            update_tenant_info(tenant_id, new_tenant_name, user_id)\n\n    def test_update_tenant_info_whitespace_name(self, service_mocks):\n        \"\"\"Test update_tenant_info with whitespace-only name\"\"\"\n        # Setup\n        tenant_id = \"test_tenant\"\n        new_tenant_name = \"   \\t\\n   \"  # Only whitespace\n        user_id = \"updater_user\"\n\n        # Mock config info\n        config_info = {\"tenant_config_id\": 123, \"config_value\": \"Old Name\"}\n\n        # Mock dependencies\n        service_mocks['get_single_config_info'].return_value = config_info\n\n        # Execute & Assert\n        with pytest.raises(ValidationError, match=\"Tenant name cannot be empty\"):\n            update_tenant_info(tenant_id, new_tenant_name, user_id)\n\n    def test_update_tenant_info_name_already_exists(self, service_mocks):\n        \"\"\"Test update_tenant_info raises error when name already exists on another tenant\"\"\"\n        # Setup\n        tenant_id = \"test_tenant\"\n        new_tenant_name = \"Duplicate Name\"\n        user_id = \"updater_user\"\n\n        # Mock check_tenant_name_exists to return True (name already taken by another tenant)\n        with patch('backend.services.tenant_service.check_tenant_name_exists', return_value=True) as mock_check:\n            # Execute & Assert\n            with pytest.raises(ValidationError, match=\"already exists\"):\n                update_tenant_info(tenant_id, new_tenant_name, user_id)\n\n            # Verify check_tenant_name_exists was called with the right parameters\n            mock_check.assert_called_once_with(new_tenant_name.strip(), exclude_tenant_id=tenant_id)\n\n\nclass TestDeleteTenant:\n    \"\"\"Test cases for delete_tenant function\"\"\"\n\n    @pytest.mark.asyncio\n    async def test_delete_tenant_success(self):\n        \"\"\"Test successfully deleting a tenant and all associated resources\"\"\"\n        # Setup\n        tenant_id = \"test_tenant\"\n        deleted_by = \"admin_user\"\n\n        # Mock dependencies\n        with patch('backend.services.tenant_service.get_single_config_info') as mock_get_config, \\\n             patch('backend.services.tenant_service.get_users_by_tenant_id') as mock_get_users, \\\n             patch('backend.services.tenant_service.delete_user_and_cleanup') as mock_delete_user, \\\n             patch('backend.services.tenant_service.query_groups_by_tenant') as mock_query_groups, \\\n             patch('backend.services.tenant_service.remove_group') as mock_remove_group, \\\n             patch('backend.services.tenant_service.get_model_records') as mock_get_models, \\\n             patch('backend.services.tenant_service.delete_model_record') as mock_delete_model, \\\n             patch('backend.services.tenant_service.get_knowledge_info_by_tenant_id') as mock_get_knowledge, \\\n             patch('backend.services.tenant_service.delete_knowledge_record') as mock_delete_knowledge, \\\n             patch('backend.services.tenant_service.query_all_agent_info_by_tenant_id') as mock_get_agents, \\\n             patch('backend.services.tenant_service.delete_tools_by_agent_id') as mock_delete_tools, \\\n             patch('backend.services.tenant_service.delete_agent_relationship') as mock_delete_rel, \\\n             patch('backend.services.tenant_service.delete_agent_by_id') as mock_delete_agent, \\\n             patch('backend.services.tenant_service.get_mcp_records_by_tenant') as mock_get_mcp, \\\n             patch('backend.services.tenant_service.delete_mcp_record_by_name_and_url') as mock_delete_mcp, \\\n             patch('backend.services.tenant_service.query_invitations_by_tenant') as mock_get_invitations, \\\n             patch('backend.services.tenant_service.remove_invitation') as mock_remove_invitation, \\\n             patch('backend.services.tenant_service.get_all_configs_by_tenant_id') as mock_get_all_configs, \\\n             patch('backend.services.tenant_service.delete_config_by_tenant_config_id') as mock_delete_config:\n\n            # Configure mocks\n            mock_get_config.return_value = {\"tenant_config_id\": 1, \"config_value\": \"Test Tenant\"}\n\n            # Empty user list\n            mock_get_users.return_value = {\"users\": [], \"total\": 0}\n\n            # Empty lists for resources\n            mock_query_groups.return_value = {\"data\": []}\n            mock_get_models.return_value = []\n            mock_get_knowledge.return_value = []\n            mock_get_agents.return_value = []\n            mock_get_mcp.return_value = []\n            mock_get_invitations.return_value = []\n            # Return some configs to verify deletion is called\n            mock_get_all_configs.return_value = [\n                {\"tenant_config_id\": 1},\n                {\"tenant_config_id\": 2},\n                {\"tenant_config_id\": 3}\n            ]\n\n            # Execute\n            result = await delete_tenant(tenant_id, deleted_by)\n\n            # Assert\n            assert result is True\n\n            # Verify user cleanup was called\n            mock_get_users.assert_called_once_with(tenant_id, page=1, page_size=10000)\n            mock_delete_user.assert_not_called()\n\n            # Verify configs deletion was called\n            mock_delete_config.assert_called()\n\n    @pytest.mark.asyncio\n    async def test_delete_tenant_not_found(self):\n        \"\"\"Test delete_tenant when tenant doesn't exist\"\"\"\n        # Setup\n        tenant_id = \"nonexistent_tenant\"\n        deleted_by = \"admin_user\"\n\n        # Mock get_single_config_info to return None (tenant not found)\n        with patch('backend.services.tenant_service.get_single_config_info') as mock_get_config:\n            mock_get_config.return_value = None\n\n        # Execute & Assert\n            with pytest.raises(NotFoundException, match=\"does not exist\"):\n                await delete_tenant(tenant_id, deleted_by)\n\n    @pytest.mark.asyncio\n    async def test_delete_tenant_validation_error(self):\n        \"\"\"Test delete_tenant when validation fails\"\"\"\n        # Setup\n        tenant_id = \"test_tenant\"\n        deleted_by = \"admin_user\"\n\n        # Mock dependencies to raise ValidationError during deletion\n        with patch('backend.services.tenant_service.get_single_config_info') as mock_get_config, \\\n             patch('backend.services.tenant_service.get_users_by_tenant_id') as mock_get_users:\n            mock_get_config.return_value = {\"tenant_config_id\": 1}\n            mock_get_users.side_effect = ValidationError(\"Database error\")\n\n            # Execute & Assert\n            with pytest.raises(ValidationError, match=\"Failed to delete tenant\"):\n                await delete_tenant(tenant_id, deleted_by)\n\n    @pytest.mark.asyncio\n    async def test_delete_tenant_with_groups(self):\n        \"\"\"Test delete_tenant deletes all groups in the tenant\"\"\"\n        # Setup\n        tenant_id = \"test_tenant\"\n        deleted_by = \"admin_user\"\n\n        with patch('backend.services.tenant_service.get_single_config_info') as mock_get_config, \\\n             patch('backend.services.tenant_service.get_users_by_tenant_id') as mock_get_users, \\\n             patch('backend.services.tenant_service.query_groups_by_tenant') as mock_query_groups, \\\n             patch('backend.services.tenant_service.remove_group') as mock_remove_group, \\\n             patch('backend.services.tenant_service.get_model_records') as mock_get_models, \\\n             patch('backend.services.tenant_service.get_knowledge_info_by_tenant_id') as mock_get_knowledge, \\\n             patch('backend.services.tenant_service.query_all_agent_info_by_tenant_id') as mock_get_agents, \\\n             patch('backend.services.tenant_service.get_mcp_records_by_tenant') as mock_get_mcp, \\\n             patch('backend.services.tenant_service.query_invitations_by_tenant') as mock_get_invitations, \\\n             patch('backend.services.tenant_service.get_all_configs_by_tenant_id') as mock_get_all_configs, \\\n             patch('backend.services.tenant_service.delete_config_by_tenant_config_id') as mock_delete_config:\n\n            mock_get_config.return_value = {\"tenant_config_id\": 1}\n\n            # Empty user list\n            mock_get_users.return_value = {\"users\": [], \"total\": 0}\n\n            # Mock groups\n            mock_query_groups.return_value = {\n                \"data\": [\n                    {\"group_id\": 1, \"group_name\": \"Group 1\"},\n                    {\"group_id\": 2, \"group_name\": \"Group 2\"}\n                ]\n            }\n\n            mock_get_models.return_value = []\n            mock_get_knowledge.return_value = []\n            mock_get_agents.return_value = []\n            mock_get_mcp.return_value = []\n            mock_get_invitations.return_value = []\n            mock_get_all_configs.return_value = []\n\n            # Execute\n            result = await delete_tenant(tenant_id, deleted_by)\n\n            # Assert\n            assert result is True\n            assert mock_remove_group.call_count == 2\n\n    @pytest.mark.asyncio\n    async def test_delete_tenant_with_group_deletion_error(self):\n        \"\"\"Test delete_tenant handles group deletion errors gracefully\"\"\"\n        # Setup\n        tenant_id = \"test_tenant\"\n        deleted_by = \"admin_user\"\n\n        with patch('backend.services.tenant_service.get_single_config_info') as mock_get_config, \\\n             patch('backend.services.tenant_service.get_users_by_tenant_id') as mock_get_users, \\\n             patch('backend.services.tenant_service.query_groups_by_tenant') as mock_query_groups, \\\n             patch('backend.services.tenant_service.remove_group') as mock_remove_group, \\\n             patch('backend.services.tenant_service.get_model_records') as mock_get_models, \\\n             patch('backend.services.tenant_service.get_knowledge_info_by_tenant_id') as mock_get_knowledge, \\\n             patch('backend.services.tenant_service.query_all_agent_info_by_tenant_id') as mock_get_agents, \\\n             patch('backend.services.tenant_service.get_mcp_records_by_tenant') as mock_get_mcp, \\\n             patch('backend.services.tenant_service.query_invitations_by_tenant') as mock_get_invitations, \\\n             patch('backend.services.tenant_service.get_all_configs_by_tenant_id') as mock_get_all_configs, \\\n             patch('backend.services.tenant_service.delete_config_by_tenant_config_id') as mock_delete_config:\n\n            mock_get_config.return_value = {\"tenant_config_id\": 1}\n\n            # Empty user list\n            mock_get_users.return_value = {\"users\": [], \"total\": 0}\n\n            # Mock groups - one group\n            mock_query_groups.return_value = {\n                \"data\": [\n                    {\"group_id\": 1, \"group_name\": \"Group 1\"},\n                ]\n            }\n\n            # Make remove_group raise an exception to test error handling\n            mock_remove_group.side_effect = Exception(\"Database error deleting group\")\n\n            mock_get_models.return_value = []\n            mock_get_knowledge.return_value = []\n            mock_get_agents.return_value = []\n            mock_get_mcp.return_value = []\n            mock_get_invitations.return_value = []\n            mock_get_all_configs.return_value = []\n\n            # Execute - should not raise, should handle exception gracefully\n            result = await delete_tenant(tenant_id, deleted_by)\n\n            # Assert - deletion should still succeed despite group deletion error\n            assert result is True\n            # Verify remove_group was called and exception was caught\n            mock_remove_group.assert_called_once()\n\n    @pytest.mark.asyncio\n    async def test_delete_tenant_with_models(self):\n        \"\"\"Test delete_tenant deletes all models in the tenant\"\"\"\n        # Setup\n        tenant_id = \"test_tenant\"\n        deleted_by = \"admin_user\"\n\n        with patch('backend.services.tenant_service.get_single_config_info') as mock_get_config, \\\n             patch('backend.services.tenant_service.get_users_by_tenant_id') as mock_get_users, \\\n             patch('backend.services.tenant_service.query_groups_by_tenant') as mock_query_groups, \\\n             patch('backend.services.tenant_service.remove_group') as mock_remove_group, \\\n             patch('backend.services.tenant_service.get_model_records') as mock_get_models, \\\n             patch('backend.services.tenant_service.delete_model_record') as mock_delete_model, \\\n             patch('backend.services.tenant_service.get_knowledge_info_by_tenant_id') as mock_get_knowledge, \\\n             patch('backend.services.tenant_service.query_all_agent_info_by_tenant_id') as mock_get_agents, \\\n             patch('backend.services.tenant_service.get_mcp_records_by_tenant') as mock_get_mcp, \\\n             patch('backend.services.tenant_service.query_invitations_by_tenant') as mock_get_invitations, \\\n             patch('backend.services.tenant_service.get_all_configs_by_tenant_id') as mock_get_all_configs, \\\n             patch('backend.services.tenant_service.delete_config_by_tenant_config_id') as mock_delete_config:\n\n            mock_get_config.return_value = {\"tenant_config_id\": 1}\n            mock_query_groups.return_value = {\"data\": []}\n\n            # Mock models\n            mock_get_models.return_value = [\n                {\"model_id\": 1, \"model_name\": \"Model 1\"},\n                {\"model_id\": 2, \"model_name\": \"Model 2\"}\n            ]\n\n            mock_get_knowledge.return_value = []\n            mock_get_agents.return_value = []\n            mock_get_mcp.return_value = []\n            mock_get_invitations.return_value = []\n            mock_get_all_configs.return_value = []\n\n            # Execute\n            result = await delete_tenant(tenant_id, deleted_by)\n\n            # Assert\n            assert result is True\n            assert mock_delete_model.call_count == 2\n\n    @pytest.mark.asyncio\n    async def test_delete_tenant_with_model_deletion_error(self):\n        \"\"\"Test delete_tenant handles model deletion errors gracefully\"\"\"\n        # Setup\n        tenant_id = \"test_tenant\"\n        deleted_by = \"admin_user\"\n\n        with patch('backend.services.tenant_service.get_single_config_info') as mock_get_config, \\\n             patch('backend.services.tenant_service.get_users_by_tenant_id') as mock_get_users, \\\n             patch('backend.services.tenant_service.query_groups_by_tenant') as mock_query_groups, \\\n             patch('backend.services.tenant_service.remove_group') as mock_remove_group, \\\n             patch('backend.services.tenant_service.get_model_records') as mock_get_models, \\\n             patch('backend.services.tenant_service.delete_model_record') as mock_delete_model, \\\n             patch('backend.services.tenant_service.get_knowledge_info_by_tenant_id') as mock_get_knowledge, \\\n             patch('backend.services.tenant_service.query_all_agent_info_by_tenant_id') as mock_get_agents, \\\n             patch('backend.services.tenant_service.get_mcp_records_by_tenant') as mock_get_mcp, \\\n             patch('backend.services.tenant_service.query_invitations_by_tenant') as mock_get_invitations, \\\n             patch('backend.services.tenant_service.get_all_configs_by_tenant_id') as mock_get_all_configs, \\\n             patch('backend.services.tenant_service.delete_config_by_tenant_config_id') as mock_delete_config:\n\n            mock_get_config.return_value = {\"tenant_config_id\": 1}\n            mock_query_groups.return_value = {\"data\": []}\n\n            # Mock models with one causing error\n            mock_get_models.return_value = [\n                {\"model_id\": 1, \"model_name\": \"Model 1\"},\n            ]\n            mock_delete_model.side_effect = Exception(\"Database error\")\n\n            mock_get_knowledge.return_value = []\n            mock_get_agents.return_value = []\n            mock_get_mcp.return_value = []\n            mock_get_invitations.return_value = []\n            mock_get_all_configs.return_value = []\n\n            # Execute\n            result = await delete_tenant(tenant_id, deleted_by)\n\n            # Assert - should succeed despite error\n            assert result is True\n\n    @pytest.mark.asyncio\n    async def test_delete_tenant_with_agents(self):\n        \"\"\"Test delete_tenant deletes all agents in the tenant\"\"\"\n        # Setup\n        tenant_id = \"test_tenant\"\n        deleted_by = \"admin_user\"\n\n        with patch('backend.services.tenant_service.get_single_config_info') as mock_get_config, \\\n             patch('backend.services.tenant_service.get_users_by_tenant_id') as mock_get_users, \\\n             patch('backend.services.tenant_service.query_groups_by_tenant') as mock_query_groups, \\\n             patch('backend.services.tenant_service.remove_group') as mock_remove_group, \\\n             patch('backend.services.tenant_service.get_model_records') as mock_get_models, \\\n             patch('backend.services.tenant_service.get_knowledge_info_by_tenant_id') as mock_get_knowledge, \\\n             patch('backend.services.tenant_service.query_all_agent_info_by_tenant_id') as mock_get_agents, \\\n             patch('backend.services.tenant_service.delete_tools_by_agent_id') as mock_delete_tools, \\\n             patch('backend.services.tenant_service.delete_agent_relationship') as mock_delete_rel, \\\n             patch('backend.services.tenant_service.delete_agent_by_id') as mock_delete_agent, \\\n             patch('backend.services.tenant_service.get_mcp_records_by_tenant') as mock_get_mcp, \\\n             patch('backend.services.tenant_service.query_invitations_by_tenant') as mock_get_invitations, \\\n             patch('backend.services.tenant_service.get_all_configs_by_tenant_id') as mock_get_all_configs, \\\n             patch('backend.services.tenant_service.delete_config_by_tenant_config_id') as mock_delete_config:\n\n            mock_get_config.return_value = {\"tenant_config_id\": 1}\n            mock_query_groups.return_value = {\"data\": []}\n            mock_get_models.return_value = []\n            mock_get_knowledge.return_value = []\n\n            # Mock agents - both draft and published\n            mock_get_agents.return_value = [\n                {\"agent_id\": \"agent-1\", \"agent_name\": \"Agent 1\"},\n            ]\n\n            mock_get_mcp.return_value = []\n            mock_get_invitations.return_value = []\n            mock_get_all_configs.return_value = []\n\n            # Execute\n            result = await delete_tenant(tenant_id, deleted_by)\n\n            # Assert\n            assert result is True\n            # Verify agent deletion calls (version 0)\n            mock_delete_tools.assert_called()\n            mock_delete_rel.assert_called()\n            mock_delete_agent.assert_called()\n\n    @pytest.mark.asyncio\n    async def test_delete_tenant_with_mcp_records(self):\n        \"\"\"Test delete_tenant deletes all MCP configurations in the tenant\"\"\"\n        # Setup\n        tenant_id = \"test_tenant\"\n        deleted_by = \"admin_user\"\n\n        with patch('backend.services.tenant_service.get_single_config_info') as mock_get_config, \\\n             patch('backend.services.tenant_service.get_users_by_tenant_id') as mock_get_users, \\\n             patch('backend.services.tenant_service.query_groups_by_tenant') as mock_query_groups, \\\n             patch('backend.services.tenant_service.remove_group') as mock_remove_group, \\\n             patch('backend.services.tenant_service.get_model_records') as mock_get_models, \\\n             patch('backend.services.tenant_service.get_knowledge_info_by_tenant_id') as mock_get_knowledge, \\\n             patch('backend.services.tenant_service.query_all_agent_info_by_tenant_id') as mock_get_agents, \\\n             patch('backend.services.tenant_service.get_mcp_records_by_tenant') as mock_get_mcp, \\\n             patch('backend.services.tenant_service.delete_mcp_record_by_name_and_url') as mock_delete_mcp, \\\n             patch('backend.services.tenant_service.query_invitations_by_tenant') as mock_get_invitations, \\\n             patch('backend.services.tenant_service.get_all_configs_by_tenant_id') as mock_get_all_configs, \\\n             patch('backend.services.tenant_service.delete_config_by_tenant_config_id') as mock_delete_config:\n\n            mock_get_config.return_value = {\"tenant_config_id\": 1}\n            mock_query_groups.return_value = {\"data\": []}\n            mock_get_models.return_value = []\n            mock_get_knowledge.return_value = []\n            mock_get_agents.return_value = []\n\n            # Mock MCP records\n            mock_get_mcp.return_value = [\n                {\"mcp_id\": 1, \"mcp_name\": \"MCP 1\", \"mcp_server\": \"http://mcp1.com\"},\n                {\"mcp_id\": 2, \"mcp_name\": \"MCP 2\", \"mcp_server\": \"http://mcp2.com\"}\n            ]\n\n            mock_get_invitations.return_value = []\n            mock_get_all_configs.return_value = []\n\n            # Execute\n            result = await delete_tenant(tenant_id, deleted_by)\n\n            # Assert\n            assert result is True\n            assert mock_delete_mcp.call_count == 2\n\n    @pytest.mark.asyncio\n    async def test_delete_tenant_with_invitations(self):\n        \"\"\"Test delete_tenant deletes all invitations in the tenant\"\"\"\n        # Setup\n        tenant_id = \"test_tenant\"\n        deleted_by = \"admin_user\"\n\n        with patch('backend.services.tenant_service.get_single_config_info') as mock_get_config, \\\n             patch('backend.services.tenant_service.get_users_by_tenant_id') as mock_get_users, \\\n             patch('backend.services.tenant_service.query_groups_by_tenant') as mock_query_groups, \\\n             patch('backend.services.tenant_service.remove_group') as mock_remove_group, \\\n             patch('backend.services.tenant_service.get_model_records') as mock_get_models, \\\n             patch('backend.services.tenant_service.get_knowledge_info_by_tenant_id') as mock_get_knowledge, \\\n             patch('backend.services.tenant_service.query_all_agent_info_by_tenant_id') as mock_get_agents, \\\n             patch('backend.services.tenant_service.get_mcp_records_by_tenant') as mock_get_mcp, \\\n             patch('backend.services.tenant_service.query_invitations_by_tenant') as mock_get_invitations, \\\n             patch('backend.services.tenant_service.remove_invitation') as mock_remove_invitation, \\\n             patch('backend.services.tenant_service.get_all_configs_by_tenant_id') as mock_get_all_configs, \\\n             patch('backend.services.tenant_service.delete_config_by_tenant_config_id') as mock_delete_config:\n\n            mock_get_config.return_value = {\"tenant_config_id\": 1}\n            mock_query_groups.return_value = {\"data\": []}\n            mock_get_models.return_value = []\n            mock_get_knowledge.return_value = []\n            mock_get_agents.return_value = []\n            mock_get_mcp.return_value = []\n\n            # Mock invitations\n            mock_get_invitations.return_value = [\n                {\"invitation_id\": \"inv-1\"},\n                {\"invitation_id\": \"inv-2\"}\n            ]\n\n            mock_get_all_configs.return_value = []\n\n            # Execute\n            result = await delete_tenant(tenant_id, deleted_by)\n\n            # Assert\n            assert result is True\n            assert mock_remove_invitation.call_count == 2\n\n\nclass TestCreateDefaultGroupForTenant:\n    \"\"\"Test cases for _create_default_group_for_tenant function\"\"\"\n\n    def test_create_default_group_for_tenant_success(self, service_mocks):\n        \"\"\"Test successfully creating default group for tenant\"\"\"\n        # Setup\n        tenant_id = \"test_tenant\"\n        user_id = \"creator_user\"\n        expected_group_id = 123\n\n        # Mock add_group to return expected group ID\n        with patch('backend.services.tenant_service.add_group', return_value=expected_group_id) as mock_add_group:\n            # Execute\n            result = _create_default_group_for_tenant(tenant_id, user_id)\n\n            # Assert\n            assert result == expected_group_id\n\n            # Verify add_group was called with correct parameters\n            mock_add_group.assert_called_once_with(\n                tenant_id=tenant_id,\n                group_name=\"Default Group\",\n                group_description=\"Default group created automatically for new tenant\",\n                created_by=user_id\n            )\n\n    def test_create_default_group_for_tenant_failure(self, service_mocks):\n        \"\"\"Test _create_default_group_for_tenant when group creation fails\"\"\"\n        # Setup\n        tenant_id = \"test_tenant\"\n        user_id = \"creator_user\"\n\n        # Mock add_group to raise exception\n        with patch('backend.services.tenant_service.add_group', side_effect=Exception(\"Database error\")):\n            # Execute & Assert\n            with pytest.raises(ValidationError, match=\"Failed to create default group\"):\n                _create_default_group_for_tenant(tenant_id, user_id)\n\n    def test_create_default_group_for_tenant_with_none_user(self, service_mocks):\n        \"\"\"Test _create_default_group_for_tenant with None user\"\"\"\n        # Setup\n        tenant_id = \"test_tenant\"\n        user_id = None\n        expected_group_id = 123\n\n        # Mock add_group to return expected group ID\n        with patch('backend.services.tenant_service.add_group', return_value=expected_group_id) as mock_add_group:\n            # Execute\n            result = _create_default_group_for_tenant(tenant_id, user_id)\n\n            # Assert\n            assert result == expected_group_id\n\n            # Verify add_group was called with None as created_by\n            mock_add_group.assert_called_once_with(\n                tenant_id=tenant_id,\n                group_name=\"Default Group\",\n                group_description=\"Default group created automatically for new tenant\",\n                created_by=None\n            )\n\n    def test_create_default_group_for_tenant_validation_error_from_add_group(self, service_mocks):\n        \"\"\"Test _create_default_group_for_tenant when add_group raises ValidationError\"\"\"\n        # Setup\n        tenant_id = \"test_tenant\"\n        user_id = \"creator_user\"\n\n        # Mock add_group to raise ValidationError\n        from consts.exceptions import ValidationError as VE\n        with patch('backend.services.tenant_service.add_group', side_effect=VE(\"Invalid group data\")):\n            # Execute & Assert\n            with pytest.raises(ValidationError, match=\"Failed to create default group: Invalid group data\"):\n                _create_default_group_for_tenant(tenant_id, user_id)\n\n\nclass TestCheckTenantNameExists:\n    \"\"\"Test cases for check_tenant_name_exists function\"\"\"\n\n    def test_check_tenant_name_exists_returns_false_when_no_match(self):\n        \"\"\"Test check_tenant_name_exists returns False when no tenant has the name\"\"\"\n        # Setup\n        tenant_name = \"Unique Tenant Name\"\n        tenant_ids = [\"tenant1\", \"tenant2\", \"tenant3\"]\n\n        # Mock with fresh mocks to avoid fixture conflicts\n        with patch('backend.services.tenant_service.get_all_tenant_ids', return_value=tenant_ids), \\\n             patch('backend.services.tenant_service.get_single_config_info') as mock_get_config:\n            # Each tenant has a different name\n            mock_get_config.side_effect = [\n                {\"config_value\": \"Tenant 1\"},  # tenant1\n                {\"config_value\": \"Tenant 2\"},  # tenant2\n                {\"config_value\": \"Tenant 3\"}   # tenant3\n            ]\n\n            # Execute\n            result = check_tenant_name_exists(tenant_name)\n\n            # Assert\n            assert result is False\n\n    def test_check_tenant_name_exists_returns_true_when_match_found(self):\n        \"\"\"Test check_tenant_name_exists returns True when a tenant has the name\"\"\"\n        # Setup\n        tenant_name = \"Existing Tenant\"\n        tenant_ids = [\"tenant1\", \"tenant2\", \"tenant3\"]\n\n        # Mock with fresh mocks\n        with patch('backend.services.tenant_service.get_all_tenant_ids', return_value=tenant_ids), \\\n             patch('backend.services.tenant_service.get_single_config_info') as mock_get_config:\n            # tenant2 has the name we're looking for\n            mock_get_config.side_effect = [\n                {\"config_value\": \"Tenant 1\"},  # tenant1\n                {\"config_value\": \"Existing Tenant\"},  # tenant2 - match!\n                {\"config_value\": \"Tenant 3\"}   # tenant3\n            ]\n\n            # Execute\n            result = check_tenant_name_exists(tenant_name)\n\n            # Assert\n            assert result is True\n\n    def test_check_tenant_name_exists_excludes_specified_tenant(self):\n        \"\"\"Test check_tenant_name_exists excludes the specified tenant ID when checking\"\"\"\n        # Setup\n        tenant_name = \"My Tenant\"\n        exclude_tenant_id = \"tenant2\"\n        tenant_ids = [\"tenant1\", \"tenant2\", \"tenant3\"]\n\n        # Mock with fresh mocks\n        with patch('backend.services.tenant_service.get_all_tenant_ids', return_value=tenant_ids), \\\n             patch('backend.services.tenant_service.get_single_config_info') as mock_get_config:\n            # tenant2 has the name, but should be excluded\n            mock_get_config.side_effect = [\n                {\"config_value\": \"My Tenant\"},  # tenant1 - match (not excluded)\n                {\"config_value\": \"My Tenant\"},  # tenant2 - would match but excluded\n                {\"config_value\": \"Tenant 3\"}   # tenant3\n            ]\n\n            # Execute\n            result = check_tenant_name_exists(tenant_name, exclude_tenant_id=exclude_tenant_id)\n\n            # Assert - should return True because tenant1 has the name\n            assert result is True\n\n    def test_check_tenant_name_exists_empty_tenant_list(self):\n        \"\"\"Test check_tenant_name_exists returns False when no tenants exist\"\"\"\n        # Setup\n        tenant_name = \"Any Tenant\"\n\n        # Mock dependencies - no tenants\n        with patch('backend.services.tenant_service.get_all_tenant_ids', return_value=[]):\n\n            # Execute\n            result = check_tenant_name_exists(tenant_name)\n\n            # Assert\n            assert result is False\n\n    def test_check_tenant_name_exists_case_sensitive(self):\n        \"\"\"Test check_tenant_name_exists is case-sensitive\"\"\"\n        # Setup\n        tenant_name = \"my tenant\"  # lowercase\n        tenant_ids = [\"tenant1\"]\n\n        # Mock with fresh mock\n        with patch('backend.services.tenant_service.get_all_tenant_ids', return_value=tenant_ids), \\\n             patch('backend.services.tenant_service.get_single_config_info') as mock_get_config:\n            mock_get_config.return_value = {\"config_value\": \"My Tenant\"}  # different case\n\n            # Execute\n            result = check_tenant_name_exists(tenant_name)\n\n            # Assert - should return False because comparison is case-sensitive\n            assert result is False\n\n    def test_check_tenant_name_exists_with_empty_name_config(self):\n        \"\"\"Test check_tenant_name_exists handles tenants with empty name config\"\"\"\n        # Setup\n        tenant_name = \"Test Tenant\"\n        tenant_ids = [\"tenant1\", \"tenant2\"]\n\n        # Mock with fresh mocks\n        with patch('backend.services.tenant_service.get_all_tenant_ids', return_value=tenant_ids), \\\n             patch('backend.services.tenant_service.get_single_config_info') as mock_get_config:\n            # tenant1 has empty name config (empty dict is falsy), tenant2 has different name\n            mock_get_config.side_effect = [\n                None,  # tenant1 - empty/falsy config\n                {\"config_value\": \"Other Tenant\"}  # tenant2\n            ]\n\n            # Execute\n            result = check_tenant_name_exists(tenant_name)\n\n            # Assert - should return False because no tenant has \"Test Tenant\"\n            assert result is False\n\n            # Assert\n            assert result is False\n\n"
  },
  {
    "path": "test/backend/services/test_tool_configuration_service.py",
    "content": "from consts.exceptions import MCPConnectionError, NotFoundException, ToolExecutionException\nimport asyncio\nimport inspect\nimport os\nimport sys\nimport types\nimport unittest\nfrom unittest.mock import AsyncMock, MagicMock, Mock, patch\n\nimport pytest\n\n# Environment variables are now configured in conftest.py\n\nboto3_mock = MagicMock()\nminio_client_mock = MagicMock()\nsys.modules['boto3'] = boto3_mock\n\n# Patch smolagents and its sub-modules before importing consts.model to avoid ImportError\nmock_smolagents = MagicMock()\nsys.modules['smolagents'] = mock_smolagents\n\n# Create dummy smolagents sub-modules to satisfy indirect imports\nfor sub_mod in [\"agents\", \"memory\", \"models\", \"monitoring\", \"utils\", \"local_python_executor\"]:\n    sub_mod_obj = types.ModuleType(f\"smolagents.{sub_mod}\")\n    setattr(mock_smolagents, sub_mod, sub_mod_obj)\n    sys.modules[f\"smolagents.{sub_mod}\"] = sub_mod_obj\n\n# Populate smolagents.agents with required attributes\n# Exception classes should be real exception classes, not MagicMock\n\n\nclass MockAgentError(Exception):\n    pass\n\n\nsetattr(mock_smolagents.agents, \"AgentError\", MockAgentError)\nfor name in [\"CodeAgent\", \"handle_agent_output_types\", \"ActionOutput\", \"RunResult\"]:\n    setattr(mock_smolagents.agents, name, MagicMock(\n        name=f\"smolagents.agents.{name}\"))\n\n# Populate smolagents.local_python_executor with required attributes\nsetattr(mock_smolagents.local_python_executor, \"fix_final_answer_code\",\n        MagicMock(name=\"fix_final_answer_code\"))\n\n# Populate smolagents.memory with required attributes\nfor name in [\"ActionStep\", \"PlanningStep\", \"FinalAnswerStep\", \"ToolCall\", \"TaskStep\", \"SystemPromptStep\"]:\n    setattr(mock_smolagents.memory, name, MagicMock(\n        name=f\"smolagents.memory.{name}\"))\n\n# Populate smolagents.models with required attributes\nsetattr(mock_smolagents.models, \"ChatMessage\", MagicMock(name=\"ChatMessage\"))\nsetattr(mock_smolagents.models, \"MessageRole\", MagicMock(name=\"MessageRole\"))\nsetattr(mock_smolagents.models, \"CODEAGENT_RESPONSE_FORMAT\",\n        MagicMock(name=\"CODEAGENT_RESPONSE_FORMAT\"))\n\n# OpenAIServerModel should be a class that can be instantiated\n\n\nclass MockOpenAIServerModel:\n    def __init__(self, *args, **kwargs):\n        pass\n\n\nsetattr(mock_smolagents.models, \"OpenAIServerModel\", MockOpenAIServerModel)\n\n# Populate smolagents with Tool attribute\nsetattr(mock_smolagents, \"Tool\", MagicMock(name=\"Tool\"))\n\n# Populate smolagents.monitoring with required attributes\nfor name in [\"LogLevel\", \"Timing\", \"YELLOW_HEX\", \"TokenUsage\"]:\n    setattr(mock_smolagents.monitoring, name, MagicMock(\n        name=f\"smolagents.monitoring.{name}\"))\n\n# Populate smolagents.utils with required attributes\n# Exception classes should be real exception classes, not MagicMock\n\n\nclass MockAgentExecutionError(Exception):\n    pass\n\n\nclass MockAgentGenerationError(Exception):\n    pass\n\n\nclass MockAgentMaxStepsError(Exception):\n    pass\n\n\nsetattr(mock_smolagents.utils, \"AgentExecutionError\", MockAgentExecutionError)\nsetattr(mock_smolagents.utils, \"AgentGenerationError\", MockAgentGenerationError)\nsetattr(mock_smolagents.utils, \"AgentMaxStepsError\", MockAgentMaxStepsError)\nfor name in [\"truncate_content\", \"extract_code_from_text\"]:\n    setattr(mock_smolagents.utils, name, MagicMock(\n        name=f\"smolagents.utils.{name}\"))\n\n# mcpadapt imports a helper from smolagents.utils\n\n\ndef _is_package_available(pkg_name: str) -> bool:\n    \"\"\"Simplified availability check for tests.\"\"\"\n    return True\n\n\nsetattr(mock_smolagents.utils, \"_is_package_available\", _is_package_available)\n\n# Mock nexent module and its submodules before patching\n\n\ndef _create_package_mock(name):\n    \"\"\"Helper to create a package-like mock module.\"\"\"\n    pkg = types.ModuleType(name)\n    pkg.__path__ = []\n    return pkg\n\n\nnexent_mock = _create_package_mock('nexent')\nsys.modules['nexent'] = nexent_mock\nsys.modules['nexent.core'] = _create_package_mock('nexent.core')\nsys.modules['nexent.core.agents'] = _create_package_mock('nexent.core.agents')\nsys.modules['nexent.core.agents.agent_model'] = MagicMock()\nsys.modules['nexent.core.models'] = _create_package_mock('nexent.core.models')\n\n\nclass MockMessageObserver:\n    \"\"\"Lightweight stand-in for nexent.MessageObserver.\"\"\"\n    pass\n\n\n# Expose MessageObserver on top-level nexent package\nsetattr(sys.modules['nexent'], 'MessageObserver', MockMessageObserver)\n\n# Mock embedding model module to satisfy vectordatabase_service imports\nembedding_model_module = types.ModuleType('nexent.core.models.embedding_model')\n\n\nclass MockBaseEmbedding:\n    pass\n\n\nclass MockOpenAICompatibleEmbedding(MockBaseEmbedding):\n    pass\n\n\nclass MockJinaEmbedding(MockBaseEmbedding):\n    pass\n\n\nembedding_model_module.BaseEmbedding = MockBaseEmbedding\nembedding_model_module.OpenAICompatibleEmbedding = MockOpenAICompatibleEmbedding\nembedding_model_module.JinaEmbedding = MockJinaEmbedding\nsys.modules['nexent.core.models.embedding_model'] = embedding_model_module\n\n# Provide model class used by file_management_service imports\n\n\nclass MockOpenAILongContextModel:\n    def __init__(self, *args, **kwargs):\n        pass\n\n\nsetattr(sys.modules['nexent.core.models'],\n        'OpenAILongContextModel', MockOpenAILongContextModel)\n\n# Provide vision model class used by image_service imports\n\n\nclass MockOpenAIVLModel:\n    def __init__(self, *args, **kwargs):\n        pass\n\n\nsetattr(sys.modules['nexent.core.models'],\n        'OpenAIVLModel', MockOpenAIVLModel)\n\n# Mock vector database modules used by vectordatabase_service\nsys.modules['nexent.vector_database'] = _create_package_mock(\n    'nexent.vector_database')\nvector_database_base_module = types.ModuleType('nexent.vector_database.base')\nvector_database_elasticsearch_module = types.ModuleType(\n    'nexent.vector_database.elasticsearch_core')\n\n\nclass MockVectorDatabaseCore:\n    pass\n\n\nclass MockElasticSearchCore(MockVectorDatabaseCore):\n    def __init__(self, *args, **kwargs):\n        pass\n\n\n# Provide a mock DataMateCore to satisfy imports in vectordatabase_service\nvector_database_datamate_module = types.ModuleType(\n    'nexent.vector_database.datamate_core')\n\n\nclass MockDataMateCore(MockVectorDatabaseCore):\n    def __init__(self, *args, **kwargs):\n        pass\n\n\nvector_database_datamate_module.DataMateCore = MockDataMateCore\nsys.modules['nexent.vector_database.datamate_core'] = vector_database_datamate_module\nsetattr(sys.modules['nexent.vector_database'],\n        'datamate_core', vector_database_datamate_module)\nsetattr(sys.modules['nexent.vector_database'],\n        'DataMateCore', MockDataMateCore)\n\nvector_database_base_module.VectorDatabaseCore = MockVectorDatabaseCore\nvector_database_elasticsearch_module.ElasticSearchCore = MockElasticSearchCore\nsys.modules['nexent.vector_database.base'] = vector_database_base_module\nsys.modules['nexent.vector_database.elasticsearch_core'] = vector_database_elasticsearch_module\n\n# Expose submodules on parent packages\nsetattr(sys.modules['nexent.core'], 'models',\n        sys.modules['nexent.core.models'])\nsetattr(sys.modules['nexent.core.models'], 'embedding_model',\n        sys.modules['nexent.core.models.embedding_model'])\nsetattr(sys.modules['nexent'], 'vector_database',\n        sys.modules['nexent.vector_database'])\nsetattr(sys.modules['nexent.vector_database'], 'base',\n        sys.modules['nexent.vector_database.base'])\nsetattr(sys.modules['nexent.vector_database'], 'elasticsearch_core',\n        sys.modules['nexent.vector_database.elasticsearch_core'])\n\n# Mock nexent.storage module and its submodules\nsys.modules['nexent.storage'] = _create_package_mock('nexent.storage')\nstorage_factory_module = types.ModuleType(\n    'nexent.storage.storage_client_factory')\nstorage_config_module = types.ModuleType('nexent.storage.minio_config')\n\n# Create mock classes/functions\n\n\nclass MockMinIOStorageConfig:\n    def __init__(self, *args, **kwargs):\n        pass\n\n    def validate(self):\n        pass\n\n\nstorage_factory_module.create_storage_client_from_config = MagicMock()\nstorage_factory_module.MinIOStorageConfig = MockMinIOStorageConfig\nstorage_config_module.MinIOStorageConfig = MockMinIOStorageConfig\n\n# Ensure nested packages are reachable via attributes\nsetattr(sys.modules['nexent'], 'storage', sys.modules['nexent.storage'])\n# Expose submodules on the storage package for patch lookups\nsetattr(sys.modules['nexent.storage'],\n        'storage_client_factory', storage_factory_module)\nsetattr(sys.modules['nexent.storage'], 'minio_config', storage_config_module)\nsys.modules['nexent.storage.storage_client_factory'] = storage_factory_module\nsys.modules['nexent.storage.minio_config'] = storage_config_module\n\n# Load actual backend modules so that patch targets resolve correctly\nimport importlib  # noqa: E402\nbackend_module = importlib.import_module('backend')\nsys.modules['backend'] = backend_module\nbackend_database_module = importlib.import_module('backend.database')\nsys.modules['backend.database'] = backend_database_module\nbackend_database_client_module = importlib.import_module(\n    'backend.database.client')\nsys.modules['backend.database.client'] = backend_database_client_module\nbackend_services_module = importlib.import_module(\n    'backend.services.tool_configuration_service')\n# Ensure services package can resolve tool_configuration_service for patching\nsys.modules['services.tool_configuration_service'] = backend_services_module\n\n# Mock services modules\nsys.modules['services'] = _create_package_mock('services')\nservices_modules = {\n    'file_management_service': {'get_llm_model': MagicMock()},\n    'vectordatabase_service': {'get_embedding_model': MagicMock(), 'get_vector_db_core': MagicMock(),\n                               'ElasticSearchService': MagicMock()},\n    'tenant_config_service': {'get_selected_knowledge_list': MagicMock(), 'build_knowledge_name_mapping': MagicMock()},\n    'image_service': {'get_vlm_model': MagicMock()}\n}\nfor service_name, attrs in services_modules.items():\n    service_module = types.ModuleType(f'services.{service_name}')\n    for attr_name, attr_value in attrs.items():\n        setattr(service_module, attr_name, attr_value)\n    sys.modules[f'services.{service_name}'] = service_module\n    # Expose on parent package for patch resolution\n    setattr(sys.modules['services'], service_name, service_module)\n\n# Patch storage factory and MinIO config validation to avoid errors during initialization\n# These patches must be started before any imports that use MinioClient\nstorage_client_mock = MagicMock()\npatch('nexent.storage.storage_client_factory.create_storage_client_from_config',\n      return_value=storage_client_mock).start()\npatch('nexent.storage.minio_config.MinIOStorageConfig.validate',\n      lambda self: None).start()\npatch('backend.database.client.MinioClient',\n      return_value=minio_client_mock).start()\npatch('elasticsearch.Elasticsearch', return_value=MagicMock()).start()\n\n# Patch tool_configuration_service imports to avoid triggering actual imports during patch\n# This prevents import errors when patch tries to import the module\n# Note: These patches use the import path as seen in tool_configuration_service.py\npatch('services.file_management_service.get_llm_model', MagicMock()).start()\npatch('services.vectordatabase_service.get_embedding_model', MagicMock()).start()\npatch('services.vectordatabase_service.get_vector_db_core', MagicMock()).start()\npatch('services.tenant_config_service.get_selected_knowledge_list', MagicMock()).start()\npatch('services.tenant_config_service.build_knowledge_name_mapping',\n      MagicMock()).start()\npatch('services.image_service.get_vlm_model', MagicMock()).start()\n\n# Import consts after patching dependencies\nfrom consts.model import ToolInfo, ToolSourceEnum, ToolInstanceInfoRequest, ToolValidateRequest  # noqa: E402\n\n\nclass TestPythonTypeToJsonSchema:\n    \"\"\" test the function of python_type_to_json_schema\"\"\"\n\n    @patch('backend.services.tool_configuration_service.python_type_to_json_schema')\n    def test_python_type_to_json_schema_basic_types(self, mock_python_type_to_json_schema):\n        \"\"\" test the basic types of python\"\"\"\n        mock_python_type_to_json_schema.side_effect = lambda x: {\n            str: \"string\",\n            int: \"integer\",\n            float: \"float\",\n            bool: \"boolean\",\n            list: \"array\",\n            dict: \"object\"\n        }.get(x, \"unknown\")\n\n        from backend.services.tool_configuration_service import python_type_to_json_schema\n        assert python_type_to_json_schema(str) == \"string\"\n        assert python_type_to_json_schema(int) == \"integer\"\n        assert python_type_to_json_schema(float) == \"float\"\n        assert python_type_to_json_schema(bool) == \"boolean\"\n        assert python_type_to_json_schema(list) == \"array\"\n        assert python_type_to_json_schema(dict) == \"object\"\n\n    @patch('backend.services.tool_configuration_service.python_type_to_json_schema')\n    def test_python_type_to_json_schema_typing_types(self, mock_python_type_to_json_schema):\n        \"\"\" test the typing types of python\"\"\"\n        from typing import List, Dict, Tuple, Any\n\n        mock_python_type_to_json_schema.side_effect = lambda x: {\n            List: \"array\",\n            Dict: \"object\",\n            Tuple: \"array\",\n            Any: \"any\"\n        }.get(x, \"unknown\")\n\n        from backend.services.tool_configuration_service import python_type_to_json_schema\n        assert python_type_to_json_schema(List) == \"array\"\n        assert python_type_to_json_schema(Dict) == \"object\"\n        assert python_type_to_json_schema(Tuple) == \"array\"\n        assert python_type_to_json_schema(Any) == \"any\"\n\n    @patch('backend.services.tool_configuration_service.python_type_to_json_schema')\n    def test_python_type_to_json_schema_empty_annotation(self, mock_python_type_to_json_schema):\n        \"\"\" test the empty annotation of python\"\"\"\n        mock_python_type_to_json_schema.return_value = \"string\"\n\n        from backend.services.tool_configuration_service import python_type_to_json_schema\n        assert python_type_to_json_schema(inspect.Parameter.empty) == \"string\"\n\n    @patch('backend.services.tool_configuration_service.python_type_to_json_schema')\n    def test_python_type_to_json_schema_unknown_type(self, mock_python_type_to_json_schema):\n        \"\"\" test the unknown type of python\"\"\"\n        class CustomType:\n            pass\n\n        # the unknown type should return the type name itself\n        mock_python_type_to_json_schema.return_value = \"CustomType\"\n\n        from backend.services.tool_configuration_service import python_type_to_json_schema\n        result = python_type_to_json_schema(CustomType)\n        assert \"CustomType\" in result\n\n    @patch('backend.services.tool_configuration_service.python_type_to_json_schema')\n    def test_python_type_to_json_schema_edge_cases(self, mock_python_type_to_json_schema):\n        \"\"\" test the edge cases of python\"\"\"\n        from typing import List, Dict, Any\n\n        # test the None type\n        mock_python_type_to_json_schema.side_effect = lambda x: \"NoneType\" if x == type(\n            None) else \"array\"\n\n        from backend.services.tool_configuration_service import python_type_to_json_schema\n        assert python_type_to_json_schema(type(None)) == \"NoneType\"\n\n        # test the complex type string representation\n        complex_type = List[Dict[str, Any]]\n        mock_python_type_to_json_schema.return_value = \"array\"\n        result = python_type_to_json_schema(complex_type)\n        assert isinstance(result, str)\n\n\nclass TestGetLocalToolsClasses:\n    \"\"\" test the function of get_local_tools_classes\"\"\"\n\n    @patch('backend.services.tool_configuration_service.importlib.import_module')\n    @patch('backend.services.tool_configuration_service.get_local_tools_classes')\n    def test_get_local_tools_classes_success(self, mock_get_local_tools_classes, mock_import):\n        \"\"\" test the success of get_local_tools_classes\"\"\"\n        # create the mock tool class\n        mock_tool_class1 = type('TestTool1', (), {})\n        mock_tool_class2 = type('TestTool2', (), {})\n        mock_non_class = \"not_a_class\"\n\n        # Create a proper mock object with defined attributes and __dir__ method\n        class MockPackage:\n            def __init__(self):\n                self.TestTool1 = mock_tool_class1\n                self.TestTool2 = mock_tool_class2\n                self.not_a_class = mock_non_class\n                self.__name__ = 'nexent.core.tools'\n\n            def __dir__(self):\n                return ['TestTool1', 'TestTool2', 'not_a_class', '__name__']\n\n        mock_package = MockPackage()\n        mock_import.return_value = mock_package\n        mock_get_local_tools_classes.return_value = [\n            mock_tool_class1, mock_tool_class2]\n\n        from backend.services.tool_configuration_service import get_local_tools_classes\n        result = get_local_tools_classes()\n\n        # Assertions\n        assert len(result) == 2\n        assert mock_tool_class1 in result\n        assert mock_tool_class2 in result\n        assert mock_non_class not in result\n\n    @patch('backend.services.tool_configuration_service.importlib.import_module')\n    @patch('backend.services.tool_configuration_service.get_local_tools_classes')\n    def test_get_local_tools_classes_import_error(self, mock_get_local_tools_classes, mock_import):\n        \"\"\" test the import error of get_local_tools_classes\"\"\"\n        mock_import.side_effect = ImportError(\"Module not found\")\n        mock_get_local_tools_classes.side_effect = ImportError(\n            \"Module not found\")\n\n        from backend.services.tool_configuration_service import get_local_tools_classes\n        with pytest.raises(ImportError):\n            get_local_tools_classes()\n\n\nclass TestGetLocalTools:\n    \"\"\" test the function of get_local_tools\"\"\"\n\n    @patch('backend.services.tool_configuration_service.get_local_tools_classes')\n    @patch('backend.services.tool_configuration_service.inspect.signature')\n    @patch('backend.services.tool_configuration_service.get_local_tools')\n    def test_get_local_tools_success(self, mock_get_local_tools, mock_signature, mock_get_classes):\n        \"\"\" test the success of get_local_tools\"\"\"\n        # create the mock tool class\n        mock_tool_class = Mock()\n        mock_tool_class.name = \"test_tool\"\n        mock_tool_class.description = \"Test tool description\"\n        mock_tool_class.inputs = {\"input1\": \"value1\"}\n        mock_tool_class.output_type = \"string\"\n        mock_tool_class.category = \"test_category\"\n        mock_tool_class.__name__ = \"TestTool\"\n\n        # create the mock parameter\n        mock_param = Mock()\n        mock_param.annotation = str\n        mock_param.default = Mock()\n        mock_param.default.description = \"Test parameter\"\n        mock_param.default.default = \"default_value\"\n        mock_param.default.exclude = False\n\n        # create the mock signature\n        mock_sig = Mock()\n        mock_sig.parameters = {\n            'self': Mock(),\n            'test_param': mock_param\n        }\n\n        mock_signature.return_value = mock_sig\n        mock_get_classes.return_value = [mock_tool_class]\n\n        # Create mock tool info\n        mock_tool_info = Mock()\n        mock_tool_info.name = \"test_tool\"\n        mock_tool_info.description = \"Test tool description\"\n        mock_tool_info.source = ToolSourceEnum.LOCAL.value\n        mock_tool_info.class_name = \"TestTool\"\n        mock_get_local_tools.return_value = [mock_tool_info]\n\n        from backend.services.tool_configuration_service import get_local_tools\n        result = get_local_tools()\n\n        assert len(result) == 1\n        tool_info = result[0]\n        assert tool_info.name == \"test_tool\"\n        assert tool_info.description == \"Test tool description\"\n        assert tool_info.source == ToolSourceEnum.LOCAL.value\n        assert tool_info.class_name == \"TestTool\"\n\n    @patch('backend.services.tool_configuration_service.get_local_tools_classes')\n    @patch('backend.services.tool_configuration_service.get_local_tools')\n    def test_get_local_tools_no_classes(self, mock_get_local_tools, mock_get_classes):\n        \"\"\" test the no tool class of get_local_tools\"\"\"\n        mock_get_classes.return_value = []\n        mock_get_local_tools.return_value = []\n\n        from backend.services.tool_configuration_service import get_local_tools\n        result = get_local_tools()\n        assert result == []\n\n    @patch('backend.services.tool_configuration_service.get_local_tools_classes')\n    @patch('backend.services.tool_configuration_service.get_local_tools')\n    def test_get_local_tools_with_exception(self, mock_get_local_tools, mock_get_classes):\n        \"\"\" test the exception of get_local_tools\"\"\"\n        mock_tool_class = Mock()\n        mock_tool_class.name = \"test_tool\"\n        # mock the attribute error\n        mock_tool_class.description = Mock(\n            side_effect=AttributeError(\"No description\"))\n\n        mock_get_classes.return_value = [mock_tool_class]\n        mock_get_local_tools.side_effect = AttributeError(\"No description\")\n\n        from backend.services.tool_configuration_service import get_local_tools\n        with pytest.raises(AttributeError):\n            get_local_tools()\n\n\nclass TestSearchToolInfoImpl:\n    \"\"\" test the function of search_tool_info_impl\"\"\"\n\n    @patch('backend.services.tool_configuration_service.query_tool_instances_by_id')\n    @patch('backend.services.tool_configuration_service.search_tool_info_impl')\n    def test_search_tool_info_impl_success(self, mock_search_tool_info_impl, mock_query):\n        \"\"\" test the success of search_tool_info_impl\"\"\"\n        mock_query.return_value = {\n            \"params\": {\"param1\": \"value1\"},\n            \"enabled\": True\n        }\n        mock_search_tool_info_impl.return_value = {\n            \"params\": {\"param1\": \"value1\"},\n            \"enabled\": True\n        }\n\n        from backend.services.tool_configuration_service import search_tool_info_impl\n        result = search_tool_info_impl(1, 1, \"test_tenant\")\n\n        assert result[\"params\"] == {\"param1\": \"value1\"}\n        assert result[\"enabled\"] is True\n        mock_search_tool_info_impl.assert_called_once_with(1, 1, \"test_tenant\")\n\n    @patch('backend.services.tool_configuration_service.query_tool_instances_by_id')\n    @patch('backend.services.tool_configuration_service.search_tool_info_impl')\n    def test_search_tool_info_impl_not_found(self, mock_search_tool_info_impl, mock_query):\n        \"\"\" test the tool info not found of search_tool_info_impl\"\"\"\n        mock_query.return_value = None\n        mock_search_tool_info_impl.return_value = {\n            \"params\": None,\n            \"enabled\": False\n        }\n\n        from backend.services.tool_configuration_service import search_tool_info_impl\n        result = search_tool_info_impl(1, 1, \"test_tenant\")\n\n        assert result[\"params\"] is None\n        assert result[\"enabled\"] is False\n\n    @patch('backend.services.tool_configuration_service.query_tool_instances_by_id')\n    @patch('backend.services.tool_configuration_service.search_tool_info_impl')\n    def test_search_tool_info_impl_database_error(self, mock_search_tool_info_impl, mock_query):\n        \"\"\" test the database error of search_tool_info_impl\"\"\"\n        mock_query.side_effect = Exception(\"Database error\")\n        mock_search_tool_info_impl.side_effect = Exception(\"Database error\")\n\n        from backend.services.tool_configuration_service import search_tool_info_impl\n        with pytest.raises(Exception):\n            search_tool_info_impl(1, 1, \"test_tenant\")\n\n    @patch('backend.services.tool_configuration_service.query_tool_instances_by_id')\n    @patch('backend.services.tool_configuration_service.search_tool_info_impl')\n    def test_search_tool_info_impl_invalid_ids(self, mock_search_tool_info_impl, mock_query):\n        \"\"\" test the invalid id of search_tool_info_impl\"\"\"\n        # test the negative id\n        mock_query.return_value = None\n        mock_search_tool_info_impl.return_value = {\n            \"params\": None,\n            \"enabled\": False\n        }\n        from backend.services.tool_configuration_service import search_tool_info_impl\n        result = search_tool_info_impl(-1, -1, \"test_tenant\")\n        assert result[\"enabled\"] is False\n\n    @patch('backend.services.tool_configuration_service.query_tool_instances_by_id')\n    @patch('backend.services.tool_configuration_service.search_tool_info_impl')\n    def test_search_tool_info_impl_zero_ids(self, mock_search_tool_info_impl, mock_query):\n        \"\"\" test the zero id of search_tool_info_impl\"\"\"\n        mock_query.return_value = None\n        mock_search_tool_info_impl.return_value = {\n            \"params\": None,\n            \"enabled\": False\n        }\n\n        from backend.services.tool_configuration_service import search_tool_info_impl\n        result = search_tool_info_impl(0, 0, \"test_tenant\")\n        assert result[\"enabled\"] is False\n\n\nclass TestUpdateToolInfoImpl:\n    \"\"\" test the function of update_tool_info_impl\"\"\"\n\n    @patch('backend.services.tool_configuration_service.create_or_update_tool_by_tool_info')\n    @patch('backend.services.tool_configuration_service.update_tool_info_impl')\n    def test_update_tool_info_impl_success(self, mock_update_tool_info_impl, mock_create_update):\n        \"\"\" test the success of update_tool_info_impl\"\"\"\n        mock_request = Mock(spec=ToolInstanceInfoRequest)\n        mock_tool_instance = {\"id\": 1, \"name\": \"test_tool\"}\n        mock_create_update.return_value = mock_tool_instance\n        mock_update_tool_info_impl.return_value = {\n            \"tool_instance\": mock_tool_instance\n        }\n\n        from backend.services.tool_configuration_service import update_tool_info_impl\n        result = update_tool_info_impl(\n            mock_request, \"test_tenant\", \"test_user\")\n\n        assert result[\"tool_instance\"] == mock_tool_instance\n        mock_update_tool_info_impl.assert_called_once_with(\n            mock_request, \"test_tenant\", \"test_user\")\n\n    @patch('backend.services.tool_configuration_service.create_or_update_tool_by_tool_info')\n    @patch('backend.services.tool_configuration_service.update_tool_info_impl')\n    def test_update_tool_info_impl_database_error(self, mock_update_tool_info_impl, mock_create_update):\n        \"\"\" test the database error of update_tool_info_impl\"\"\"\n        mock_request = Mock(spec=ToolInstanceInfoRequest)\n        mock_create_update.side_effect = Exception(\"Database error\")\n        mock_update_tool_info_impl.side_effect = Exception(\"Database error\")\n\n        from backend.services.tool_configuration_service import update_tool_info_impl\n        with pytest.raises(Exception):\n            update_tool_info_impl(mock_request, \"test_tenant\", \"test_user\")\n\n    @patch('backend.services.tool_configuration_service.create_or_update_tool_by_tool_info')\n    def test_update_tool_info_impl_with_version_no_zero(self, mock_create_update):\n        \"\"\"Test update_tool_info_impl when version_no is 0\"\"\"\n        mock_request = Mock(spec=ToolInstanceInfoRequest)\n        mock_request.version_no = 0\n        mock_request.__dict__ = {\"agent_id\": 1, \"tool_id\": 1, \"version_no\": 0}\n        mock_tool_instance = {\"id\": 1, \"name\": \"test_tool\"}\n        mock_create_update.return_value = mock_tool_instance\n\n        from backend.services.tool_configuration_service import update_tool_info_impl\n        result = update_tool_info_impl(mock_request, \"test_tenant\", \"test_user\")\n\n        assert result[\"tool_instance\"] == mock_tool_instance\n        # Verify that create_or_update_tool_by_tool_info was called with version_no=0\n        mock_create_update.assert_called_once_with(\n            mock_request, \"test_tenant\", \"test_user\", version_no=0)\n\n    @patch('backend.services.tool_configuration_service.create_or_update_tool_by_tool_info')\n    def test_update_tool_info_impl_without_version_no(self, mock_create_update):\n        \"\"\"Test update_tool_info_impl when version_no is not provided (should default to 0)\"\"\"\n        # Create a simple object without version_no attribute\n        class MockToolInfoWithoutVersion:\n            def __init__(self):\n                self.agent_id = 1\n                self.tool_id = 1\n                # Explicitly do not set version_no\n\n        mock_request = MockToolInfoWithoutVersion()\n        mock_tool_instance = {\"id\": 1, \"name\": \"test_tool\"}\n        mock_create_update.return_value = mock_tool_instance\n\n        from backend.services.tool_configuration_service import update_tool_info_impl\n        result = update_tool_info_impl(mock_request, \"test_tenant\", \"test_user\")\n\n        assert result[\"tool_instance\"] == mock_tool_instance\n        # Verify that create_or_update_tool_by_tool_info was called with version_no=0 (default)\n        mock_create_update.assert_called_once_with(\n            mock_request, \"test_tenant\", \"test_user\", version_no=0)\n\n    @patch('backend.services.tool_configuration_service.create_or_update_tool_by_tool_info')\n    def test_update_tool_info_impl_with_version_no_non_zero(self, mock_create_update):\n        \"\"\"Test update_tool_info_impl when version_no is not 0\"\"\"\n        mock_request = Mock(spec=ToolInstanceInfoRequest)\n        mock_request.version_no = 5\n        mock_request.__dict__ = {\"agent_id\": 1, \"tool_id\": 1, \"version_no\": 5}\n        mock_tool_instance = {\"id\": 1, \"name\": \"test_tool\"}\n        mock_create_update.return_value = mock_tool_instance\n\n        from backend.services.tool_configuration_service import update_tool_info_impl\n        result = update_tool_info_impl(mock_request, \"test_tenant\", \"test_user\")\n\n        assert result[\"tool_instance\"] == mock_tool_instance\n        # Verify that create_or_update_tool_by_tool_info was called with version_no=5\n        mock_create_update.assert_called_once_with(\n            mock_request, \"test_tenant\", \"test_user\", version_no=5)\n\n\nclass TestListAllTools:\n    \"\"\" test the function of list_all_tools\"\"\"\n\n    @patch('backend.services.tool_configuration_service.query_all_tools')\n    @patch('backend.services.tool_configuration_service.list_all_tools')\n    async def test_list_all_tools_success(self, mock_list_all_tools, mock_query):\n        \"\"\" test the success of list_all_tools\"\"\"\n        mock_tools = [\n            {\n                \"tool_id\": 1,\n                \"name\": \"test_tool_1\",\n                \"description\": \"Test tool 1\",\n                \"source\": \"local\",\n                \"is_available\": True,\n                \"create_time\": \"2023-01-01\",\n                \"usage\": \"test_usage\",\n                \"params\": [{\"name\": \"param1\"}]\n            },\n            {\n                \"tool_id\": 2,\n                \"name\": \"test_tool_2\",\n                \"description\": \"Test tool 2\",\n                \"source\": \"mcp\",\n                \"is_available\": False,\n                \"create_time\": \"2023-01-02\",\n                \"usage\": None,\n                \"params\": []\n            }\n        ]\n        mock_query.return_value = mock_tools\n        mock_list_all_tools.return_value = mock_tools\n\n        from backend.services.tool_configuration_service import list_all_tools\n        result = await list_all_tools(\"test_tenant\")\n\n        assert len(result) == 2\n        assert result[0][\"tool_id\"] == 1\n        assert result[0][\"name\"] == \"test_tool_1\"\n        assert result[1][\"tool_id\"] == 2\n        assert result[1][\"name\"] == \"test_tool_2\"\n        mock_list_all_tools.assert_called_once_with(\"test_tenant\")\n\n    @patch('backend.services.tool_configuration_service.query_all_tools')\n    @patch('backend.services.tool_configuration_service.list_all_tools')\n    async def test_list_all_tools_empty_result(self, mock_list_all_tools, mock_query):\n        \"\"\" test the empty result of list_all_tools\"\"\"\n        mock_query.return_value = []\n        mock_list_all_tools.return_value = []\n\n        from backend.services.tool_configuration_service import list_all_tools\n        result = await list_all_tools(\"test_tenant\")\n\n        assert result == []\n        mock_list_all_tools.assert_called_once_with(\"test_tenant\")\n\n    @patch('backend.services.tool_configuration_service.query_all_tools')\n    @patch('backend.services.tool_configuration_service.list_all_tools')\n    async def test_list_all_tools_missing_fields(self, mock_list_all_tools, mock_query):\n        \"\"\" test tools with missing fields\"\"\"\n        mock_tools = [\n            {\n                \"tool_id\": 1,\n                \"name\": \"test_tool\",\n                \"description\": \"Test tool\",\n                \"params\": []\n                # missing other fields\n            }\n        ]\n        mock_query.return_value = mock_tools\n        mock_list_all_tools.return_value = mock_tools\n\n        from backend.services.tool_configuration_service import list_all_tools\n        result = await list_all_tools(\"test_tenant\")\n\n        assert len(result) == 1\n        assert result[0][\"tool_id\"] == 1\n        assert result[0][\"name\"] == \"test_tool\"\n        assert result[0][\"params\"] == []  # default value\n\n\n# test the fixture and helper function\n@pytest.fixture\ndef sample_tool_info():\n    \"\"\" create the fixture of sample tool info\"\"\"\n    return ToolInfo(\n        name=\"sample_tool\",\n        description=\"Sample tool for testing\",\n        params=[{\n            \"name\": \"param1\",\n            \"type\": \"string\",\n            \"description\": \"Test parameter\",\n            \"optional\": False\n        }],\n        source=ToolSourceEnum.LOCAL.value,\n        inputs='{\"input1\": \"value1\"}',\n        output_type=\"string\",\n        class_name=\"SampleTool\"\n    )\n\n\n@pytest.fixture\ndef sample_tool_request():\n    \"\"\" create the fixture of sample tool request\"\"\"\n    return ToolInstanceInfoRequest(\n        agent_id=1,\n        tool_id=1,\n        params={\"param1\": \"value1\"},\n        enabled=True\n    )\n\n\nclass TestGetAllMcpTools:\n    \"\"\"Test get_all_mcp_tools function\"\"\"\n\n    @patch('backend.services.tool_configuration_service.get_mcp_records_by_tenant')\n    @patch('backend.services.tool_configuration_service.get_tool_from_remote_mcp_server')\n    @patch('backend.services.tool_configuration_service.LOCAL_MCP_SERVER', \"http://default-server.com\")\n    @patch('backend.services.tool_configuration_service.urljoin')\n    async def test_get_all_mcp_tools_success(self, mock_urljoin, mock_get_tools, mock_get_records):\n        \"\"\"Test successfully getting all MCP tools\"\"\"\n        # Mock MCP records\n        mock_get_records.return_value = [\n            {\"mcp_name\": \"server1\", \"mcp_server\": \"http://server1.com\", \"status\": True},\n            {\"mcp_name\": \"server2\", \"mcp_server\": \"http://server2.com\",\n                \"status\": False},  # Not connected\n            {\"mcp_name\": \"server3\", \"mcp_server\": \"http://server3.com\", \"status\": True}\n        ]\n\n        # Mock tool information\n        mock_tools1 = [\n            ToolInfo(name=\"tool1\", description=\"Tool 1\", params=[], source=ToolSourceEnum.MCP.value,\n                     inputs=\"{}\", output_type=\"string\", class_name=\"Tool1\", usage=\"server1\")\n        ]\n        mock_tools2 = [\n            ToolInfo(name=\"tool2\", description=\"Tool 2\", params=[], source=ToolSourceEnum.MCP.value,\n                     inputs=\"{}\", output_type=\"string\", class_name=\"Tool2\", usage=\"server3\")\n        ]\n        mock_default_tools = [\n            ToolInfo(name=\"default_tool\", description=\"Default Tool\", params=[], source=ToolSourceEnum.MCP.value,\n                     inputs=\"{}\", output_type=\"string\", class_name=\"DefaultTool\", usage=\"nexent\")\n        ]\n\n        mock_get_tools.side_effect = [\n            mock_tools1, mock_tools2, mock_default_tools]\n        mock_urljoin.return_value = \"http://default-server.com/sse\"\n\n        # 导入函数\n        from backend.services.tool_configuration_service import get_all_mcp_tools\n\n        result = await get_all_mcp_tools(\"test_tenant\")\n\n        # Verify results\n        assert len(result) == 3  # 2 connected server tools + 1 default tool\n        assert result[0].name == \"tool1\"\n        assert result[0].usage == \"server1\"\n        assert result[1].name == \"tool2\"\n        assert result[1].usage == \"server3\"\n        assert result[2].name == \"default_tool\"\n        assert result[2].usage == \"nexent\"\n\n        # Verify calls\n        assert mock_get_tools.call_count == 3\n\n    @patch('backend.services.tool_configuration_service.get_mcp_records_by_tenant')\n    @patch('backend.services.tool_configuration_service.get_tool_from_remote_mcp_server')\n    @patch('backend.services.tool_configuration_service.LOCAL_MCP_SERVER', \"http://default-server.com\")\n    @patch('backend.services.tool_configuration_service.urljoin')\n    async def test_get_all_mcp_tools_connection_error(self, mock_urljoin, mock_get_tools, mock_get_records):\n        \"\"\"Test MCP connection error scenario\"\"\"\n        mock_get_records.return_value = [\n            {\"mcp_name\": \"server1\", \"mcp_server\": \"http://server1.com\", \"status\": True}\n        ]\n        # First call fails, second call succeeds (default server)\n        mock_get_tools.side_effect = [Exception(\"Connection failed\"),\n                                      [ToolInfo(name=\"default_tool\", description=\"Default Tool\", params=[],\n                                                source=ToolSourceEnum.MCP.value, inputs=\"{}\", output_type=\"string\",\n                                                class_name=\"DefaultTool\", usage=\"nexent\")]]\n        mock_urljoin.return_value = \"http://default-server.com/sse\"\n\n        from backend.services.tool_configuration_service import get_all_mcp_tools\n\n        result = await get_all_mcp_tools(\"test_tenant\")\n\n        # Should return default tools even if connection fails\n        assert len(result) == 1\n        assert result[0].name == \"default_tool\"\n\n    @patch('backend.services.tool_configuration_service.get_mcp_records_by_tenant')\n    @patch('backend.services.tool_configuration_service.get_tool_from_remote_mcp_server')\n    @patch('backend.services.tool_configuration_service.LOCAL_MCP_SERVER', \"http://default-server.com\")\n    @patch('backend.services.tool_configuration_service.urljoin')\n    async def test_get_all_mcp_tools_no_connected_servers(self, mock_urljoin, mock_get_tools, mock_get_records):\n        \"\"\"Test scenario with no connected servers\"\"\"\n        mock_get_records.return_value = [\n            {\"mcp_name\": \"server1\", \"mcp_server\": \"http://server1.com\", \"status\": False},\n            {\"mcp_name\": \"server2\", \"mcp_server\": \"http://server2.com\", \"status\": False}\n        ]\n        mock_default_tools = [\n            ToolInfo(name=\"default_tool\", description=\"Default Tool\", params=[], source=ToolSourceEnum.MCP.value,\n                     inputs=\"{}\", output_type=\"string\", class_name=\"DefaultTool\", usage=\"nexent\")\n        ]\n        mock_get_tools.return_value = mock_default_tools\n        mock_urljoin.return_value = \"http://default-server.com/sse\"\n\n        from backend.services.tool_configuration_service import get_all_mcp_tools\n\n        result = await get_all_mcp_tools(\"test_tenant\")\n\n        # Should only return default tools\n        assert len(result) == 1\n        assert result[0].name == \"default_tool\"\n        assert mock_get_tools.call_count == 1  # Only call default server once\n\n\nclass TestCreateMcpTransport:\n    \"\"\"Test _create_mcp_transport function\"\"\"\n\n    @patch('backend.services.tool_configuration_service.SSETransport')\n    def test_create_mcp_transport_sse_with_token(self, mock_sse_transport):\n        \"\"\"Test creating SSETransport for URL ending with /sse and with authorization token\"\"\"\n        from backend.services.tool_configuration_service import _create_mcp_transport\n\n        mock_transport = Mock()\n        mock_sse_transport.return_value = mock_transport\n\n        result = _create_mcp_transport(\"http://test-server.com/sse\", \"Bearer token123\")\n\n        assert result == mock_transport\n        mock_sse_transport.assert_called_once_with(\n            url=\"http://test-server.com/sse\",\n            headers={\"Authorization\": \"Bearer token123\"}\n        )\n\n    @patch('backend.services.tool_configuration_service.SSETransport')\n    def test_create_mcp_transport_sse_without_token(self, mock_sse_transport):\n        \"\"\"Test creating SSETransport for URL ending with /sse and without authorization token\"\"\"\n        from backend.services.tool_configuration_service import _create_mcp_transport\n\n        mock_transport = Mock()\n        mock_sse_transport.return_value = mock_transport\n\n        result = _create_mcp_transport(\"http://test-server.com/sse\", None)\n\n        assert result == mock_transport\n        mock_sse_transport.assert_called_once_with(\n            url=\"http://test-server.com/sse\",\n            headers={}\n        )\n\n    @patch('backend.services.tool_configuration_service.StreamableHttpTransport')\n    def test_create_mcp_transport_mcp_with_token(self, mock_http_transport):\n        \"\"\"Test creating StreamableHttpTransport for URL ending with /mcp and with authorization token\"\"\"\n        from backend.services.tool_configuration_service import _create_mcp_transport\n\n        mock_transport = Mock()\n        mock_http_transport.return_value = mock_transport\n\n        result = _create_mcp_transport(\"http://test-server.com/mcp\", \"Bearer token456\")\n\n        assert result == mock_transport\n        mock_http_transport.assert_called_once_with(\n            url=\"http://test-server.com/mcp\",\n            headers={\"Authorization\": \"Bearer token456\"}\n        )\n\n    @patch('backend.services.tool_configuration_service.StreamableHttpTransport')\n    def test_create_mcp_transport_mcp_without_token(self, mock_http_transport):\n        \"\"\"Test creating StreamableHttpTransport for URL ending with /mcp and without authorization token\"\"\"\n        from backend.services.tool_configuration_service import _create_mcp_transport\n\n        mock_transport = Mock()\n        mock_http_transport.return_value = mock_transport\n\n        result = _create_mcp_transport(\"http://test-server.com/mcp\", None)\n\n        assert result == mock_transport\n        mock_http_transport.assert_called_once_with(\n            url=\"http://test-server.com/mcp\",\n            headers={}\n        )\n\n    @patch('backend.services.tool_configuration_service.StreamableHttpTransport')\n    def test_create_mcp_transport_default_with_token(self, mock_http_transport):\n        \"\"\"Test creating default StreamableHttpTransport for unrecognized URL format with authorization token\"\"\"\n        from backend.services.tool_configuration_service import _create_mcp_transport\n\n        mock_transport = Mock()\n        mock_http_transport.return_value = mock_transport\n\n        result = _create_mcp_transport(\"http://test-server.com/api\", \"Bearer token789\")\n\n        assert result == mock_transport\n        mock_http_transport.assert_called_once_with(\n            url=\"http://test-server.com/api\",\n            headers={\"Authorization\": \"Bearer token789\"}\n        )\n\n    @patch('backend.services.tool_configuration_service.StreamableHttpTransport')\n    def test_create_mcp_transport_default_without_token(self, mock_http_transport):\n        \"\"\"Test creating default StreamableHttpTransport for unrecognized URL format without authorization token\"\"\"\n        from backend.services.tool_configuration_service import _create_mcp_transport\n\n        mock_transport = Mock()\n        mock_http_transport.return_value = mock_transport\n\n        result = _create_mcp_transport(\"http://test-server.com/api\", None)\n\n        assert result == mock_transport\n        mock_http_transport.assert_called_once_with(\n            url=\"http://test-server.com/api\",\n            headers={}\n        )\n\n    @patch('backend.services.tool_configuration_service.SSETransport')\n    def test_create_mcp_transport_sse_with_whitespace(self, mock_sse_transport):\n        \"\"\"Test creating SSETransport for URL with whitespace ending with /sse\"\"\"\n        from backend.services.tool_configuration_service import _create_mcp_transport\n\n        mock_transport = Mock()\n        mock_sse_transport.return_value = mock_transport\n\n        result = _create_mcp_transport(\"  http://test-server.com/sse  \", \"token\")\n\n        assert result == mock_transport\n        # Verify URL is stripped before checking ending\n        mock_sse_transport.assert_called_once_with(\n            url=\"http://test-server.com/sse\",\n            headers={\"Authorization\": \"token\"}\n        )\n\n\nclass TestGetToolFromRemoteMcpServer:\n    \"\"\"Test get_tool_from_remote_mcp_server function\"\"\"\n\n    @patch('backend.services.tool_configuration_service.Client')\n    @patch('backend.services.tool_configuration_service.jsonref.replace_refs')\n    @patch('backend.services.tool_configuration_service._sanitize_function_name')\n    @patch('backend.services.tool_configuration_service._create_mcp_transport')\n    async def test_get_tool_from_remote_mcp_server_success(self, mock_create_transport, mock_sanitize, mock_replace_refs, mock_client_cls):\n        \"\"\"Test successfully getting tools from remote MCP server\"\"\"\n        # Mock transport\n        mock_transport = Mock()\n        mock_create_transport.return_value = mock_transport\n\n        # Mock client\n        mock_client = AsyncMock()\n        mock_client.__aenter__.return_value = mock_client\n        mock_client_cls.return_value = mock_client\n\n        # Mock tool list\n        mock_tool1 = Mock()\n        mock_tool1.name = \"test_tool_1\"\n        mock_tool1.description = \"Test tool 1 description\"\n        mock_tool1.inputSchema = {\"properties\": {\"param1\": {\"type\": \"string\"}}}\n\n        mock_tool2 = Mock()\n        mock_tool2.name = \"test_tool_2\"\n        mock_tool2.description = \"Test tool 2 description\"\n        mock_tool2.inputSchema = {\n            \"properties\": {\"param2\": {\"type\": \"integer\"}}}\n\n        mock_client.list_tools.return_value = [mock_tool1, mock_tool2]\n\n        # Mock JSON schema processing\n        mock_replace_refs.side_effect = [\n            {\"properties\": {\"param1\": {\"type\": \"string\",\n                                       \"description\": \"see tool description\"}}},\n            {\"properties\": {\"param2\": {\"type\": \"integer\",\n                                       \"description\": \"see tool description\"}}}\n        ]\n\n        # Mock name sanitization\n        mock_sanitize.side_effect = [\"test_tool_1\", \"test_tool_2\"]\n\n        from backend.services.tool_configuration_service import get_tool_from_remote_mcp_server\n\n        result = await get_tool_from_remote_mcp_server(\"test_server\", \"http://test-server.com\")\n\n        # Verify results\n        assert len(result) == 2\n        assert result[0].name == \"test_tool_1\"\n        assert result[0].description == \"Test tool 1 description\"\n        assert result[0].source == ToolSourceEnum.MCP.value\n        assert result[0].usage == \"test_server\"\n        assert result[1].name == \"test_tool_2\"\n        assert result[1].description == \"Test tool 2 description\"\n\n        # Verify calls\n        mock_create_transport.assert_called_once_with(\"http://test-server.com\", None)\n        mock_client_cls.assert_called_once_with(transport=mock_transport, timeout=10)\n        assert mock_client.list_tools.call_count == 1\n\n    @patch('backend.services.tool_configuration_service.Client')\n    @patch('backend.services.tool_configuration_service.jsonref.replace_refs')\n    @patch('backend.services.tool_configuration_service._sanitize_function_name')\n    @patch('backend.services.tool_configuration_service._create_mcp_transport')\n    @patch('backend.services.tool_configuration_service.get_mcp_authorization_token_by_name_and_url')\n    async def test_get_tool_from_remote_mcp_server_with_token_from_db(self, mock_get_token, mock_create_transport, mock_sanitize, mock_replace_refs, mock_client_cls):\n        \"\"\"Test getting tools from remote MCP server with authorization token from database\"\"\"\n        # Mock authorization token from database\n        mock_get_token.return_value = \"Bearer token_from_db\"\n\n        # Mock transport\n        mock_transport = Mock()\n        mock_create_transport.return_value = mock_transport\n\n        # Mock client\n        mock_client = AsyncMock()\n        mock_client.__aenter__.return_value = mock_client\n        mock_client_cls.return_value = mock_client\n\n        # Mock tool list\n        mock_tool = Mock()\n        mock_tool.name = \"test_tool\"\n        mock_tool.description = \"Test tool description\"\n        mock_tool.inputSchema = {\"properties\": {\"param1\": {\"type\": \"string\"}}}\n\n        mock_client.list_tools.return_value = [mock_tool]\n\n        # Mock JSON schema processing\n        mock_replace_refs.return_value = {\"properties\": {\"param1\": {\"type\": \"string\", \"description\": \"see tool description\"}}}\n\n        # Mock name sanitization\n        mock_sanitize.return_value = \"test_tool\"\n\n        from backend.services.tool_configuration_service import get_tool_from_remote_mcp_server\n\n        result = await get_tool_from_remote_mcp_server(\n            \"test_server\", \"http://test-server.com\", tenant_id=\"tenant1\"\n        )\n\n        # Verify results\n        assert len(result) == 1\n        assert result[0].name == \"test_tool\"\n\n        # Verify authorization token was fetched from database\n        mock_get_token.assert_called_once_with(\n            mcp_name=\"test_server\",\n            mcp_server=\"http://test-server.com\",\n            tenant_id=\"tenant1\"\n        )\n\n        # Verify transport was created with token\n        mock_create_transport.assert_called_once_with(\"http://test-server.com\", \"Bearer token_from_db\")\n\n    @patch('backend.services.tool_configuration_service.Client')\n    @patch('backend.services.tool_configuration_service.jsonref.replace_refs')\n    @patch('backend.services.tool_configuration_service._sanitize_function_name')\n    @patch('backend.services.tool_configuration_service._create_mcp_transport')\n    async def test_get_tool_from_remote_mcp_server_with_provided_token(self, mock_create_transport, mock_sanitize, mock_replace_refs, mock_client_cls):\n        \"\"\"Test getting tools from remote MCP server with directly provided authorization token\"\"\"\n        # Mock transport\n        mock_transport = Mock()\n        mock_create_transport.return_value = mock_transport\n\n        # Mock client\n        mock_client = AsyncMock()\n        mock_client.__aenter__.return_value = mock_client\n        mock_client_cls.return_value = mock_client\n\n        # Mock tool list\n        mock_tool = Mock()\n        mock_tool.name = \"test_tool\"\n        mock_tool.description = \"Test tool description\"\n        mock_tool.inputSchema = {\"properties\": {\"param1\": {\"type\": \"string\"}}}\n\n        mock_client.list_tools.return_value = [mock_tool]\n\n        # Mock JSON schema processing\n        mock_replace_refs.return_value = {\"properties\": {\"param1\": {\"type\": \"string\", \"description\": \"see tool description\"}}}\n\n        # Mock name sanitization\n        mock_sanitize.return_value = \"test_tool\"\n\n        from backend.services.tool_configuration_service import get_tool_from_remote_mcp_server\n\n        result = await get_tool_from_remote_mcp_server(\n            \"test_server\", \"http://test-server.com\", tenant_id=\"tenant1\", authorization_token=\"Bearer provided_token\"\n        )\n\n        # Verify results\n        assert len(result) == 1\n        assert result[0].name == \"test_tool\"\n\n        # Verify transport was created with provided token (not fetched from DB)\n        mock_create_transport.assert_called_once_with(\"http://test-server.com\", \"Bearer provided_token\")\n\n    @patch('backend.services.tool_configuration_service.Client')\n    @patch('backend.services.tool_configuration_service._create_mcp_transport')\n    async def test_get_tool_from_remote_mcp_server_empty_tools(self, mock_create_transport, mock_client_cls):\n        \"\"\"Test remote server with no tools\"\"\"\n        # Mock transport\n        mock_transport = Mock()\n        mock_create_transport.return_value = mock_transport\n\n        mock_client = AsyncMock()\n        mock_client.__aenter__.return_value = mock_client\n        mock_client_cls.return_value = mock_client\n        mock_client.list_tools.return_value = []\n\n        from backend.services.tool_configuration_service import get_tool_from_remote_mcp_server\n\n        result = await get_tool_from_remote_mcp_server(\"test_server\", \"http://test-server.com\")\n\n        assert result == []\n\n    @patch('backend.services.tool_configuration_service.Client')\n    @patch('backend.services.tool_configuration_service._create_mcp_transport')\n    async def test_get_tool_from_remote_mcp_server_connection_error(self, mock_create_transport, mock_client_cls):\n        \"\"\"Test connection error scenario\"\"\"\n        # Mock transport\n        mock_transport = Mock()\n        mock_create_transport.return_value = mock_transport\n\n        mock_client_cls.side_effect = Exception(\"Connection failed\")\n\n        from backend.services.tool_configuration_service import get_tool_from_remote_mcp_server\n\n        with pytest.raises(MCPConnectionError):\n            await get_tool_from_remote_mcp_server(\"test_server\", \"http://test-server.com\")\n\n        # Verify transport was created before connection error\n        mock_create_transport.assert_called_once_with(\"http://test-server.com\", None)\n\n    @patch('backend.services.tool_configuration_service.Client')\n    @patch('backend.services.tool_configuration_service.jsonref.replace_refs')\n    @patch('backend.services.tool_configuration_service._sanitize_function_name')\n    @patch('backend.services.tool_configuration_service._create_mcp_transport')\n    async def test_get_tool_from_remote_mcp_server_missing_properties(self, mock_create_transport, mock_sanitize, mock_replace_refs, mock_client_cls):\n        \"\"\"Test tools missing required properties\"\"\"\n        # Mock transport\n        mock_transport = Mock()\n        mock_create_transport.return_value = mock_transport\n\n        mock_client = AsyncMock()\n        mock_client.__aenter__.return_value = mock_client\n        mock_client_cls.return_value = mock_client\n\n        # Mock tool missing description and type\n        mock_tool = Mock()\n        mock_tool.name = \"test_tool\"\n        mock_tool.description = \"Test tool description\"\n        mock_tool.inputSchema = {\"properties\": {\n            \"param1\": {}}}  # Missing description and type\n\n        mock_client.list_tools.return_value = [mock_tool]\n        mock_replace_refs.return_value = {\"properties\": {\"param1\": {}}}\n        mock_sanitize.return_value = \"test_tool\"\n\n        from backend.services.tool_configuration_service import get_tool_from_remote_mcp_server\n\n        result = await get_tool_from_remote_mcp_server(\"test_server\", \"http://test-server.com\")\n\n        assert len(result) == 1\n        assert result[0].name == \"test_tool\"\n        # Verify default values are added\n        assert \"see tool description\" in str(result[0].inputs)\n        assert \"string\" in str(result[0].inputs)\n\n\nclass TestUpdateToolList:\n    \"\"\"Test update_tool_list function\"\"\"\n\n    @patch('backend.services.tool_configuration_service.get_local_tools')\n    @patch('backend.services.tool_configuration_service.get_all_mcp_tools')\n    # Add mock for get_langchain_tools\n    @patch('backend.services.tool_configuration_service.get_langchain_tools')\n    @patch('backend.services.tool_configuration_service.update_tool_table_from_scan_tool_list')\n    async def test_update_tool_list_success(self, mock_update_table, mock_get_langchain_tools, mock_get_mcp_tools, mock_get_local_tools):\n        \"\"\"Test successfully updating tool list\"\"\"\n        # Mock local tools\n        local_tools = [\n            ToolInfo(name=\"local_tool\", description=\"Local tool\", params=[], source=ToolSourceEnum.LOCAL.value,\n                     inputs=\"{}\", output_type=\"string\", class_name=\"LocalTool\", usage=None)\n        ]\n        mock_get_local_tools.return_value = local_tools\n\n        # Mock MCP tools\n        mcp_tools = [\n            ToolInfo(name=\"mcp_tool\", description=\"MCP tool\", params=[], source=ToolSourceEnum.MCP.value,\n                     inputs=\"{}\", output_type=\"string\", class_name=\"McpTool\", usage=\"test_server\")\n        ]\n        mock_get_mcp_tools.return_value = mcp_tools\n\n        # Mock LangChain tools - return empty list\n        mock_get_langchain_tools.return_value = [\n            ToolInfo(name=\"langchain_tool\", description=\"LangChain tool\", params=[], source=ToolSourceEnum.LANGCHAIN.value,\n                     inputs=\"{}\", output_type=\"string\", class_name=\"LangchainTool\", usage=\"test_server\")\n        ]\n\n        from backend.services.tool_configuration_service import update_tool_list\n\n        await update_tool_list(\"test_tenant\", \"test_user\")\n\n        # Verify calls\n        mock_get_local_tools.assert_called_once()\n        mock_get_mcp_tools.assert_called_once_with(\"test_tenant\")\n        mock_get_langchain_tools.assert_called_once()\n\n        # Get tool list returned by mock get_langchain_tools\n        langchain_tools = mock_get_langchain_tools.return_value\n\n        mock_update_table.assert_called_once_with(\n            tenant_id=\"test_tenant\",\n            user_id=\"test_user\",\n            tool_list=local_tools + mcp_tools + langchain_tools\n        )\n\n    @patch('backend.services.tool_configuration_service.get_local_tools')\n    @patch('backend.services.tool_configuration_service.get_all_mcp_tools')\n    @patch('backend.services.tool_configuration_service.get_langchain_tools')\n    @patch('backend.services.tool_configuration_service.update_tool_table_from_scan_tool_list')\n    async def test_update_tool_list_mcp_error(self, mock_update_table, mock_get_langchain_tools, mock_get_mcp_tools, mock_get_local_tools):\n        \"\"\"Test MCP tool retrieval failure scenario\"\"\"\n        mock_get_local_tools.return_value = []\n        mock_get_langchain_tools.return_value = []\n        mock_get_mcp_tools.side_effect = Exception(\"MCP connection failed\")\n\n        from backend.services.tool_configuration_service import update_tool_list\n\n        with pytest.raises(MCPConnectionError, match=\"failed to get all mcp tools\"):\n            await update_tool_list(\"test_tenant\", \"test_user\")\n\n    @patch('backend.services.tool_configuration_service.get_local_tools')\n    @patch('backend.services.tool_configuration_service.get_all_mcp_tools')\n    @patch('backend.services.tool_configuration_service.get_langchain_tools')\n    @patch('backend.services.tool_configuration_service.update_tool_table_from_scan_tool_list')\n    async def test_update_tool_list_database_error(self, mock_update_table, mock_get_langchain_tools, mock_get_mcp_tools, mock_get_local_tools):\n        \"\"\"Test database update failure scenario\"\"\"\n        mock_get_local_tools.return_value = []\n        mock_get_mcp_tools.return_value = []\n        mock_get_langchain_tools.return_value = []\n        mock_update_table.side_effect = Exception(\"Database error\")\n\n        from backend.services.tool_configuration_service import update_tool_list\n\n        with pytest.raises(Exception, match=\"Database error\"):\n            await update_tool_list(\"test_tenant\", \"test_user\")\n\n    @patch('backend.services.tool_configuration_service.get_local_tools')\n    @patch('backend.services.tool_configuration_service.get_all_mcp_tools')\n    # Add mock for get_langchain_tools\n    @patch('backend.services.tool_configuration_service.get_langchain_tools')\n    @patch('backend.services.tool_configuration_service.update_tool_table_from_scan_tool_list')\n    async def test_update_tool_list_empty_tools(self, mock_update_table, mock_get_langchain_tools, mock_get_mcp_tools, mock_get_local_tools):\n        \"\"\"Test scenario with no tools\"\"\"\n        mock_get_local_tools.return_value = []\n        mock_get_mcp_tools.return_value = []\n        # Ensure LangChain tools also return empty list\n        mock_get_langchain_tools.return_value = []\n\n        from backend.services.tool_configuration_service import update_tool_list\n\n        await update_tool_list(\"test_tenant\", \"test_user\")\n\n        # Verify update function is called even with no tools\n        mock_update_table.assert_called_once_with(\n            tenant_id=\"test_tenant\",\n            user_id=\"test_user\",\n            tool_list=[]\n        )\n\n\nclass TestIntegrationScenarios:\n    \"\"\"Integration test scenarios\"\"\"\n\n    @patch('backend.services.tool_configuration_service.get_local_tools')\n    @patch('backend.services.tool_configuration_service.get_all_mcp_tools')\n    # Add mock for get_langchain_tools\n    @patch('backend.services.tool_configuration_service.get_langchain_tools')\n    @patch('backend.services.tool_configuration_service.update_tool_table_from_scan_tool_list')\n    @patch('backend.services.tool_configuration_service.get_tool_from_remote_mcp_server')\n    async def test_full_tool_update_workflow(self, mock_get_remote_tools, mock_update_table, mock_get_langchain_tools, mock_get_mcp_tools, mock_get_local_tools):\n        \"\"\"Test complete tool update workflow\"\"\"\n        # 1. Mock local tools\n        local_tools = [\n            ToolInfo(name=\"local_tool\", description=\"Local tool\", params=[], source=ToolSourceEnum.LOCAL.value,\n                     inputs=\"{}\", output_type=\"string\", class_name=\"LocalTool\", usage=None)\n        ]\n        mock_get_local_tools.return_value = local_tools\n\n        # 2. Mock MCP tools\n        mcp_tools = [\n            ToolInfo(name=\"mcp_tool\", description=\"MCP tool\", params=[], source=ToolSourceEnum.MCP.value,\n                     inputs=\"{}\", output_type=\"string\", class_name=\"McpTool\", usage=\"test_server\")\n        ]\n        mock_get_mcp_tools.return_value = mcp_tools\n\n        # 3. Mock LangChain tools - set to empty list\n        mock_get_langchain_tools.return_value = []\n\n        # 4. Mock remote tool retrieval\n        remote_tools = [\n            ToolInfo(name=\"remote_tool\", description=\"Remote tool\", params=[], source=ToolSourceEnum.MCP.value,\n                     inputs=\"{}\", output_type=\"string\", class_name=\"RemoteTool\", usage=\"remote_server\")\n        ]\n        mock_get_remote_tools.return_value = remote_tools\n\n        from backend.services.tool_configuration_service import update_tool_list\n\n        # 5. Execute update\n        await update_tool_list(\"test_tenant\", \"test_user\")\n\n        # 6. Verify entire process\n        mock_get_local_tools.assert_called_once()\n        mock_get_mcp_tools.assert_called_once_with(\"test_tenant\")\n        mock_get_langchain_tools.assert_called_once()\n        mock_update_table.assert_called_once_with(\n            tenant_id=\"test_tenant\",\n            user_id=\"test_user\",\n            tool_list=local_tools + mcp_tools\n        )\n\n\nclass TestGetLangchainTools:\n    \"\"\"Test get_langchain_tools function\"\"\"\n\n    @patch('utils.langchain_utils.discover_langchain_modules')\n    @patch('backend.services.tool_configuration_service._build_tool_info_from_langchain')\n    def test_get_langchain_tools_success(self, mock_build_tool_info, mock_discover_modules):\n        \"\"\"Test successfully discovering and converting LangChain tools\"\"\"\n        # Create mock LangChain tool objects\n        mock_tool1 = Mock()\n        mock_tool1.name = \"langchain_tool_1\"\n        mock_tool1.description = \"LangChain tool 1\"\n\n        mock_tool2 = Mock()\n        mock_tool2.name = \"langchain_tool_2\"\n        mock_tool2.description = \"LangChain tool 2\"\n\n        # Mock discover_langchain_modules return value\n        mock_discover_modules.return_value = [\n            (mock_tool1, \"tool1.py\"),\n            (mock_tool2, \"tool2.py\")\n        ]\n\n        # Mock _build_tool_info_from_langchain return value\n        tool_info1 = ToolInfo(\n            name=\"langchain_tool_1\",\n            description=\"LangChain tool 1\",\n            params=[],\n            source=ToolSourceEnum.LANGCHAIN.value,\n            inputs=\"{}\",\n            output_type=\"string\",\n            class_name=\"langchain_tool_1\",\n            usage=None\n        )\n\n        tool_info2 = ToolInfo(\n            name=\"langchain_tool_2\",\n            description=\"LangChain tool 2\",\n            params=[],\n            source=ToolSourceEnum.LANGCHAIN.value,\n            inputs=\"{}\",\n            output_type=\"string\",\n            class_name=\"langchain_tool_2\",\n            usage=None\n        )\n\n        mock_build_tool_info.side_effect = [tool_info1, tool_info2]\n\n        # Import function to test\n        from backend.services.tool_configuration_service import get_langchain_tools\n\n        # Call function\n        result = get_langchain_tools()\n\n        # Verify results\n        assert len(result) == 2\n        assert result[0] == tool_info1\n        assert result[1] == tool_info2\n\n        # Verify calls\n        mock_discover_modules.assert_called_once()\n        assert mock_build_tool_info.call_count == 2\n\n    @patch('utils.langchain_utils.discover_langchain_modules')\n    def test_get_langchain_tools_empty_result(self, mock_discover_modules):\n        \"\"\"Test scenario where no LangChain tools are discovered\"\"\"\n        # Mock discover_langchain_modules to return empty list\n        mock_discover_modules.return_value = []\n\n        from backend.services.tool_configuration_service import get_langchain_tools\n\n        result = get_langchain_tools()\n\n        # Verify result is empty list\n        assert result == []\n        mock_discover_modules.assert_called_once()\n\n    @patch('utils.langchain_utils.discover_langchain_modules')\n    @patch('backend.services.tool_configuration_service._build_tool_info_from_langchain')\n    def test_get_langchain_tools_exception_handling(self, mock_build_tool_info, mock_discover_modules):\n        \"\"\"Test exception handling when processing tools\"\"\"\n        # Create mock LangChain tool objects\n        mock_tool1 = Mock()\n        mock_tool1.name = \"good_tool\"\n\n        mock_tool2 = Mock()\n        mock_tool2.name = \"problematic_tool\"\n\n        # Mock discover_langchain_modules return value\n        mock_discover_modules.return_value = [\n            (mock_tool1, \"good_tool.py\"),\n            (mock_tool2, \"problematic_tool.py\")\n        ]\n\n        # Mock _build_tool_info_from_langchain behavior\n        # First call succeeds, second call raises exception\n        tool_info1 = ToolInfo(\n            name=\"good_tool\",\n            description=\"Good LangChain tool\",\n            params=[],\n            source=ToolSourceEnum.LANGCHAIN.value,\n            inputs=\"{}\",\n            output_type=\"string\",\n            class_name=\"good_tool\",\n            usage=None\n        )\n\n        mock_build_tool_info.side_effect = [\n            tool_info1,\n            Exception(\"Error processing tool\")\n        ]\n\n        from backend.services.tool_configuration_service import get_langchain_tools\n\n        # Call function - should not raise exception\n        result = get_langchain_tools()\n\n        # Verify result - only successfully processed tools\n        assert len(result) == 1\n        assert result[0] == tool_info1\n\n        # Verify calls\n        mock_discover_modules.assert_called_once()\n        assert mock_build_tool_info.call_count == 2\n\n    @patch('utils.langchain_utils.discover_langchain_modules')\n    @patch('backend.services.tool_configuration_service._build_tool_info_from_langchain')\n    def test_get_langchain_tools_with_different_tool_types(self, mock_build_tool_info, mock_discover_modules):\n        \"\"\"Test processing different types of LangChain tool objects\"\"\"\n        # Create different types of tool objects\n        class CustomTool:\n            def __init__(self):\n                self.name = \"custom_tool\"\n                self.description = \"Custom tool\"\n\n        mock_tool1 = Mock()  # Standard Mock object\n        mock_tool1.name = \"mock_tool\"\n        mock_tool1.description = \"Mock tool\"\n\n        mock_tool2 = CustomTool()  # Custom class object\n\n        # Mock discover_langchain_modules return value\n        mock_discover_modules.return_value = [\n            (mock_tool1, \"mock_tool.py\"),\n            (mock_tool2, \"custom_tool.py\")\n        ]\n\n        # Mock _build_tool_info_from_langchain return value\n        tool_info1 = ToolInfo(\n            name=\"mock_tool\",\n            description=\"Mock tool\",\n            params=[],\n            source=ToolSourceEnum.LANGCHAIN.value,\n            inputs=\"{}\",\n            output_type=\"string\",\n            class_name=\"mock_tool\",\n            usage=None\n        )\n\n        tool_info2 = ToolInfo(\n            name=\"custom_tool\",\n            description=\"Custom tool\",\n            params=[],\n            source=ToolSourceEnum.LANGCHAIN.value,\n            inputs=\"{}\",\n            output_type=\"string\",\n            class_name=\"custom_tool\",\n            usage=None\n        )\n\n        mock_build_tool_info.side_effect = [tool_info1, tool_info2]\n\n        from backend.services.tool_configuration_service import get_langchain_tools\n\n        result = get_langchain_tools()\n\n        # Verify results\n        assert len(result) == 2\n        assert result[0] == tool_info1\n        assert result[1] == tool_info2\n\n        # Verify calls\n        mock_discover_modules.assert_called_once()\n        assert mock_build_tool_info.call_count == 2\n\n\nclass TestLoadLastToolConfigImpl:\n    \"\"\"Test load_last_tool_config_impl function\"\"\"\n\n    @patch('backend.services.tool_configuration_service.search_last_tool_instance_by_tool_id')\n    @patch('backend.services.tool_configuration_service.load_last_tool_config_impl')\n    def test_load_last_tool_config_impl_success(self, mock_load_last_tool_config_impl, mock_search_tool_instance):\n        \"\"\"Test successfully loading last tool configuration\"\"\"\n        mock_tool_instance = {\n            \"tool_instance_id\": 1,\n            \"tool_id\": 123,\n            \"params\": {\"param1\": \"value1\", \"param2\": \"value2\"},\n            \"enabled\": True\n        }\n        mock_search_tool_instance.return_value = mock_tool_instance\n        mock_load_last_tool_config_impl.return_value = {\n            \"param1\": \"value1\", \"param2\": \"value2\"}\n\n        from backend.services.tool_configuration_service import load_last_tool_config_impl\n        result = load_last_tool_config_impl(123, \"tenant1\", \"user1\")\n\n        assert result == {\"param1\": \"value1\", \"param2\": \"value2\"}\n        mock_load_last_tool_config_impl.assert_called_once_with(\n            123, \"tenant1\", \"user1\")\n\n    @patch('backend.services.tool_configuration_service.search_last_tool_instance_by_tool_id')\n    @patch('backend.services.tool_configuration_service.load_last_tool_config_impl')\n    def test_load_last_tool_config_impl_not_found(self, mock_load_last_tool_config_impl, mock_search_tool_instance):\n        \"\"\"Test loading tool config when tool instance not found\"\"\"\n        mock_search_tool_instance.return_value = None\n        mock_load_last_tool_config_impl.side_effect = ValueError(\n            \"Tool configuration not found for tool ID: 123\")\n\n        from backend.services.tool_configuration_service import load_last_tool_config_impl\n        with pytest.raises(ValueError, match=\"Tool configuration not found for tool ID: 123\"):\n            load_last_tool_config_impl(123, \"tenant1\", \"user1\")\n\n        mock_load_last_tool_config_impl.assert_called_once_with(\n            123, \"tenant1\", \"user1\")\n\n    @patch('backend.services.tool_configuration_service.search_last_tool_instance_by_tool_id')\n    @patch('backend.services.tool_configuration_service.load_last_tool_config_impl')\n    def test_load_last_tool_config_impl_empty_params(self, mock_load_last_tool_config_impl, mock_search_tool_instance):\n        \"\"\"Test loading tool config with empty params\"\"\"\n        mock_tool_instance = {\n            \"tool_instance_id\": 1,\n            \"tool_id\": 123,\n            \"params\": {},\n            \"enabled\": True\n        }\n        mock_search_tool_instance.return_value = mock_tool_instance\n        mock_load_last_tool_config_impl.return_value = {}\n\n        from backend.services.tool_configuration_service import load_last_tool_config_impl\n        result = load_last_tool_config_impl(123, \"tenant1\", \"user1\")\n\n        assert result == {}\n        mock_load_last_tool_config_impl.assert_called_once_with(\n            123, \"tenant1\", \"user1\")\n\n    @patch('backend.services.tool_configuration_service.Client')\n    @patch('backend.services.tool_configuration_service._create_mcp_transport')\n    async def test_call_mcp_tool_success(self, mock_create_transport, mock_client_cls):\n        \"\"\"Test successful MCP tool call\"\"\"\n        # Mock transport\n        mock_transport = Mock()\n        mock_create_transport.return_value = mock_transport\n\n        # Mock client\n        mock_client = AsyncMock()\n        mock_client.__aenter__.return_value = mock_client\n        mock_client.__aexit__.return_value = None\n        mock_client.is_connected.return_value = True\n\n        # Mock tool result structure to match what _call_mcp_tool expects\n        mock_content_item = Mock()\n        mock_content_item.text = \"test result\"\n        mock_result = Mock()\n        mock_result.content = [mock_content_item]\n        mock_client.call_tool.return_value = mock_result\n\n        mock_client_cls.return_value = mock_client\n\n        from backend.services.tool_configuration_service import _call_mcp_tool\n\n        result = await _call_mcp_tool(\"http://test-server.com\", \"test_tool\", {\"param\": \"value\"})\n\n        assert result == \"test result\"\n        mock_create_transport.assert_called_once_with(\"http://test-server.com\", None)\n        mock_client_cls.assert_called_once_with(transport=mock_transport)\n        mock_client.call_tool.assert_called_once_with(\n            name=\"test_tool\", arguments={\"param\": \"value\"})\n\n    @patch('backend.services.tool_configuration_service.Client')\n    @patch('backend.services.tool_configuration_service._create_mcp_transport')\n    async def test_call_mcp_tool_with_authorization_token(self, mock_create_transport, mock_client_cls):\n        \"\"\"Test MCP tool call with authorization token\"\"\"\n        # Mock transport\n        mock_transport = Mock()\n        mock_create_transport.return_value = mock_transport\n\n        # Mock client\n        mock_client = AsyncMock()\n        mock_client.__aenter__.return_value = mock_client\n        mock_client.__aexit__.return_value = None\n        mock_client.is_connected.return_value = True\n\n        # Mock tool result structure\n        mock_content_item = Mock()\n        mock_content_item.text = \"test result with token\"\n        mock_result = Mock()\n        mock_result.content = [mock_content_item]\n        mock_client.call_tool.return_value = mock_result\n\n        mock_client_cls.return_value = mock_client\n\n        from backend.services.tool_configuration_service import _call_mcp_tool\n\n        result = await _call_mcp_tool(\n            \"http://test-server.com\", \"test_tool\", {\"param\": \"value\"}, authorization_token=\"Bearer token123\"\n        )\n\n        assert result == \"test result with token\"\n        mock_create_transport.assert_called_once_with(\"http://test-server.com\", \"Bearer token123\")\n        mock_client_cls.assert_called_once_with(transport=mock_transport)\n        mock_client.call_tool.assert_called_once_with(\n            name=\"test_tool\", arguments={\"param\": \"value\"})\n\n    @patch('backend.services.tool_configuration_service.Client')\n    @patch('backend.services.tool_configuration_service._create_mcp_transport')\n    async def test_call_mcp_tool_connection_failed(self, mock_create_transport, mock_client_cls):\n        \"\"\"Test MCP tool call when connection fails\"\"\"\n        # Mock transport\n        mock_transport = Mock()\n        mock_create_transport.return_value = mock_transport\n\n        # Mock client with proper async context manager setup\n        mock_client = AsyncMock()\n        mock_client.__aenter__ = AsyncMock(return_value=mock_client)\n        mock_client.__aexit__ = AsyncMock(return_value=None)\n        mock_client.is_connected = Mock(return_value=False)\n\n        mock_client_cls.return_value = mock_client\n\n        from backend.services.tool_configuration_service import _call_mcp_tool\n\n        with pytest.raises(MCPConnectionError, match=\"Failed to connect to MCP server\"):\n            await _call_mcp_tool(\"http://test-server.com\", \"test_tool\", {\"param\": \"value\"})\n\n        # Verify client was created and connection was checked\n        mock_create_transport.assert_called_once_with(\"http://test-server.com\", None)\n        mock_client_cls.assert_called_once_with(transport=mock_transport)\n        mock_client.is_connected.assert_called_once()\n\n    @patch('backend.services.tool_configuration_service.urljoin')\n    @patch('backend.services.tool_configuration_service._call_mcp_tool')\n    async def test_validate_mcp_tool_nexent_success(self, mock_call_tool, mock_urljoin):\n        \"\"\"Test successful nexent MCP tool validation\"\"\"\n        mock_urljoin.return_value = \"http://nexent-server.com/sse\"\n        mock_call_tool.return_value = \"nexent result\"\n\n        from backend.services.tool_configuration_service import _validate_mcp_tool_nexent\n\n        result = await _validate_mcp_tool_nexent(\"test_tool\", {\"param\": \"value\"})\n\n        assert result == \"nexent result\"\n        mock_urljoin.assert_called_once()\n        mock_call_tool.assert_called_once_with(\n            \"http://nexent-server.com/sse\", \"test_tool\", {\"param\": \"value\"})\n\n    @patch('backend.services.tool_configuration_service.get_mcp_authorization_token_by_name_and_url')\n    @patch('backend.services.tool_configuration_service.get_mcp_server_by_name_and_tenant')\n    @patch('backend.services.tool_configuration_service._call_mcp_tool')\n    async def test_validate_mcp_tool_remote_success(self, mock_call_tool, mock_get_server, mock_get_token):\n        \"\"\"Test successful remote MCP tool validation with authorization token from database\"\"\"\n        mock_get_server.return_value = \"http://remote-server.com\"\n        mock_get_token.return_value = \"Bearer token_from_db\"\n        mock_call_tool.return_value = \"validation result\"\n\n        from backend.services.tool_configuration_service import _validate_mcp_tool_remote\n\n        result = await _validate_mcp_tool_remote(\"test_tool\", {\"param\": \"value\"}, \"test_server\", \"tenant1\")\n\n        assert result == \"validation result\"\n        mock_get_server.assert_called_once_with(\"test_server\", \"tenant1\")\n        mock_get_token.assert_called_once_with(\n            mcp_name=\"test_server\",\n            mcp_server=\"http://remote-server.com\",\n            tenant_id=\"tenant1\"\n        )\n        # _call_mcp_tool is called with authorization_token as positional argument\n        mock_call_tool.assert_called_once_with(\n            \"http://remote-server.com\", \"test_tool\", {\"param\": \"value\"}, \"Bearer token_from_db\")\n\n    @patch('backend.services.tool_configuration_service.get_mcp_server_by_name_and_tenant')\n    @patch('backend.services.tool_configuration_service._call_mcp_tool')\n    async def test_validate_mcp_tool_remote_without_tenant_id(self, mock_call_tool, mock_get_server):\n        \"\"\"Test remote MCP tool validation when tenant_id is None (no token fetched)\"\"\"\n        mock_get_server.return_value = \"http://remote-server.com\"\n        mock_call_tool.return_value = \"validation result\"\n\n        from backend.services.tool_configuration_service import _validate_mcp_tool_remote\n\n        result = await _validate_mcp_tool_remote(\"test_tool\", {\"param\": \"value\"}, \"test_server\", None)\n\n        assert result == \"validation result\"\n        mock_get_server.assert_called_once_with(\"test_server\", None)\n        # Verify _call_mcp_tool was called with authorization_token as positional argument (None)\n        mock_call_tool.assert_called_once_with(\n            \"http://remote-server.com\", \"test_tool\", {\"param\": \"value\"}, None)\n\n    @patch('backend.services.tool_configuration_service.get_mcp_server_by_name_and_tenant')\n    async def test_validate_mcp_tool_remote_server_not_found(self, mock_get_server):\n        \"\"\"Test remote MCP tool validation when server not found\"\"\"\n        mock_get_server.return_value = None\n\n        from backend.services.tool_configuration_service import _validate_mcp_tool_remote\n\n        with pytest.raises(NotFoundException, match=\"MCP server not found for name: test_server\"):\n            await _validate_mcp_tool_remote(\"test_tool\", {\"param\": \"value\"}, \"test_server\", \"tenant1\")\n\n    @patch('backend.services.tool_configuration_service.importlib.import_module')\n    def test_get_tool_class_by_name_success(self, mock_import):\n        \"\"\"Test successfully getting tool class by name\"\"\"\n        # Create a real class that will pass inspect.isclass() check\n        class TestToolClass:\n            name = \"test_tool\"\n            description = \"Test tool description\"\n            inputs = {}\n            output_type = \"string\"\n\n        # Create a custom mock package class that properly handles getattr\n        class MockPackage:\n            def __init__(self):\n                self.__name__ = 'nexent.core.tools'\n                self.test_tool = TestToolClass\n                self.other_class = Mock()\n\n            def __dir__(self):\n                return ['test_tool', 'other_class']\n\n            def __getattr__(self, name):\n                if name == 'test_tool':\n                    return TestToolClass\n                elif name == 'other_class':\n                    return Mock()\n                else:\n                    raise AttributeError(f\"'{name}' not found\")\n\n        mock_package = MockPackage()\n        mock_import.return_value = mock_package\n\n        from backend.services.tool_configuration_service import _get_tool_class_by_name\n\n        result = _get_tool_class_by_name(\"test_tool\")\n\n        assert result == TestToolClass\n        mock_import.assert_called_once_with('nexent.core.tools')\n\n    @patch('backend.services.tool_configuration_service.importlib.import_module')\n    def test_get_tool_class_by_name_not_found(self, mock_import):\n        \"\"\"Test getting tool class when tool not found\"\"\"\n        # Create mock package without the target tool\n        mock_package = Mock()\n        mock_package.__name__ = 'nexent.core.tools'\n        mock_package.__dir__ = Mock(return_value=['other_class'])\n\n        mock_import.return_value = mock_package\n\n        from backend.services.tool_configuration_service import _get_tool_class_by_name\n\n        result = _get_tool_class_by_name(\"nonexistent_tool\")\n\n        assert result is None\n\n    @patch('backend.services.tool_configuration_service.importlib.import_module')\n    def test_get_tool_class_by_name_import_error(self, mock_import):\n        \"\"\"Test getting tool class when import fails\"\"\"\n        mock_import.side_effect = ImportError(\"Module not found\")\n\n        from backend.services.tool_configuration_service import _get_tool_class_by_name\n\n        result = _get_tool_class_by_name(\"test_tool\")\n\n        assert result is None\n\n    @patch('backend.services.tool_configuration_service._get_tool_class_by_name')\n    @patch('backend.services.tool_configuration_service.inspect.signature')\n    def test_validate_local_tool_success(self, mock_signature, mock_get_class):\n        \"\"\"Test successful local tool validation\"\"\"\n        # Mock tool class\n        mock_tool_class = Mock()\n        mock_tool_instance = Mock()\n        mock_tool_instance.forward.return_value = \"validation result\"\n        mock_tool_class.return_value = mock_tool_instance\n\n        mock_get_class.return_value = mock_tool_class\n\n        # Mock signature without observer parameter\n        mock_sig = Mock()\n        mock_sig.parameters = {}\n        mock_signature.return_value = mock_sig\n\n        from backend.services.tool_configuration_service import _validate_local_tool\n\n        result = _validate_local_tool(\n            \"test_tool\", {\"input\": \"value\"}, {\"param\": \"config\"})\n\n        assert result == \"validation result\"\n        mock_get_class.assert_called_once_with(\"test_tool\")\n        mock_tool_class.assert_called_once_with(param=\"config\")\n        mock_tool_instance.forward.assert_called_once_with(input=\"value\")\n\n    @patch('backend.services.tool_configuration_service._get_tool_class_by_name')\n    @patch('backend.services.tool_configuration_service.inspect.signature')\n    def test_validate_local_tool_with_observer(self, mock_signature, mock_get_class):\n        \"\"\"Test local tool validation with observer parameter\"\"\"\n        # Mock tool class\n        mock_tool_class = Mock()\n        mock_tool_instance = Mock()\n        mock_tool_instance.forward.return_value = \"validation result\"\n        mock_tool_class.return_value = mock_tool_instance\n\n        mock_get_class.return_value = mock_tool_class\n\n        # Mock signature with observer parameter\n        mock_sig = Mock()\n        mock_observer_param = Mock()\n        mock_observer_param.default = None\n        mock_sig.parameters = {'observer': mock_observer_param}\n        mock_signature.return_value = mock_sig\n\n        from backend.services.tool_configuration_service import _validate_local_tool\n\n        result = _validate_local_tool(\n            \"test_tool\", {\"input\": \"value\"}, {\"param\": \"config\"})\n\n        assert result == \"validation result\"\n        mock_tool_class.assert_called_once_with(param=\"config\", observer=None)\n\n    @patch('backend.services.tool_configuration_service._get_tool_class_by_name')\n    def test_validate_local_tool_class_not_found(self, mock_get_class):\n        \"\"\"Test local tool validation when class not found\"\"\"\n        mock_get_class.return_value = None\n\n        from backend.services.tool_configuration_service import _validate_local_tool\n\n        with pytest.raises(ToolExecutionException, match=\"Local tool test_tool validation failed: Tool class not found for test_tool\"):\n            _validate_local_tool(\"test_tool\", {\"input\": \"value\"}, {\n                                 \"param\": \"config\"})\n\n    @patch('backend.services.tool_configuration_service._get_tool_class_by_name')\n    @patch('backend.services.tool_configuration_service.inspect.signature')\n    def test_validate_local_tool_execution_error(self, mock_signature, mock_get_class):\n        \"\"\"Test local tool validation when execution fails\"\"\"\n        # Mock tool class\n        mock_tool_class = Mock()\n        mock_tool_instance = Mock()\n        mock_tool_instance.forward.side_effect = Exception(\"Execution failed\")\n        mock_tool_class.return_value = mock_tool_instance\n\n        mock_get_class.return_value = mock_tool_class\n\n        # Mock signature\n        mock_sig = Mock()\n        mock_sig.parameters = {}\n        mock_signature.return_value = mock_sig\n\n        from backend.services.tool_configuration_service import _validate_local_tool\n\n        with pytest.raises(ToolExecutionException, match=\"Local tool test_tool validation failed\"):\n            _validate_local_tool(\"test_tool\", {\"input\": \"value\"}, {\n                                 \"param\": \"config\"})\n\n    @patch('utils.langchain_utils.discover_langchain_modules')\n    def test_validate_langchain_tool_success(self, mock_discover):\n        \"\"\"Test successful LangChain tool validation\"\"\"\n        # Mock LangChain tool\n        mock_tool = Mock()\n        mock_tool.name = \"test_tool\"\n        mock_tool.invoke.return_value = \"validation result\"\n\n        mock_discover.return_value = [(mock_tool, \"test_tool.py\")]\n\n        from backend.services.tool_configuration_service import _validate_langchain_tool\n\n        result = _validate_langchain_tool(\"test_tool\", {\"input\": \"value\"})\n\n        assert result == \"validation result\"\n        mock_tool.invoke.assert_called_once_with({\"input\": \"value\"})\n\n    @patch('utils.langchain_utils.discover_langchain_modules')\n    def test_validate_langchain_tool_not_found(self, mock_discover):\n        \"\"\"Test LangChain tool validation when tool not found\"\"\"\n        mock_discover.return_value = []\n\n        from backend.services.tool_configuration_service import _validate_langchain_tool\n\n        with pytest.raises(ToolExecutionException, match=\"LangChain tool 'test_tool' validation failed: Tool 'test_tool' not found in LangChain tools\"):\n            _validate_langchain_tool(\"test_tool\", {\"input\": \"value\"})\n\n    @patch('utils.langchain_utils.discover_langchain_modules')\n    def test_validate_langchain_tool_execution_error(self, mock_discover):\n        \"\"\"Test LangChain tool validation when execution fails\"\"\"\n        # Mock LangChain tool\n        mock_tool = Mock()\n        mock_tool.name = \"test_tool\"\n        mock_tool.invoke.side_effect = Exception(\"Execution failed\")\n\n        mock_discover.return_value = [(mock_tool, \"test_tool.py\")]\n\n        from backend.services.tool_configuration_service import _validate_langchain_tool\n\n        with pytest.raises(ToolExecutionException, match=\"LangChain tool 'test_tool' validation failed\"):\n            _validate_langchain_tool(\"test_tool\", {\"input\": \"value\"})\n\n    @patch('backend.services.tool_configuration_service._validate_mcp_tool_nexent')\n    @patch('backend.services.tool_configuration_service.validate_tool_impl')\n    async def test_validate_tool_nexent(self, mock_validate_tool_impl, mock_validate_nexent):\n        \"\"\"Test MCP tool validation using nexent server\"\"\"\n        mock_validate_nexent.return_value = \"nexent result\"\n        mock_validate_tool_impl.return_value = \"nexent result\"\n\n        request = ToolValidateRequest(\n            name=\"test_tool\",\n            source=ToolSourceEnum.MCP.value,\n            usage=\"nexent\",\n            inputs={\"param\": \"value\"}\n        )\n\n        from backend.services.tool_configuration_service import validate_tool_impl\n        result = await validate_tool_impl(request, \"tenant1\")\n\n        assert result == \"nexent result\"\n        mock_validate_tool_impl.assert_called_once_with(request, \"tenant1\")\n\n    @patch('backend.services.tool_configuration_service._validate_mcp_tool_remote')\n    @patch('backend.services.tool_configuration_service.validate_tool_impl')\n    async def test_validate_tool_remote(self, mock_validate_tool_impl, mock_validate_remote):\n        \"\"\"Test MCP tool validation using remote server\"\"\"\n        mock_validate_remote.return_value = \"remote result\"\n        mock_validate_tool_impl.return_value = \"remote result\"\n\n        request = ToolValidateRequest(\n            name=\"test_tool\",\n            source=ToolSourceEnum.MCP.value,\n            usage=\"remote_server\",\n            inputs={\"param\": \"value\"}\n        )\n\n        from backend.services.tool_configuration_service import validate_tool_impl\n        result = await validate_tool_impl(request, \"tenant1\")\n\n        assert result == \"remote result\"\n        mock_validate_tool_impl.assert_called_once_with(request, \"tenant1\")\n\n    @patch('backend.services.tool_configuration_service._validate_local_tool')\n    @patch('backend.services.tool_configuration_service.validate_tool_impl')\n    async def test_validate_tool_local(self, mock_validate_tool_impl, mock_validate_local):\n        \"\"\"Test local tool validation\"\"\"\n        mock_validate_local.return_value = \"local result\"\n        mock_validate_tool_impl.return_value = \"local result\"\n\n        request = ToolValidateRequest(\n            name=\"test_tool\",\n            source=ToolSourceEnum.LOCAL.value,\n            usage=None,\n            inputs={\"param\": \"value\"},\n            params={\"config\": \"value\"}\n        )\n\n        from backend.services.tool_configuration_service import validate_tool_impl\n        result = await validate_tool_impl(request, \"tenant1\")\n\n        assert result == \"local result\"\n        mock_validate_tool_impl.assert_called_once_with(request, \"tenant1\")\n\n    @patch('backend.services.tool_configuration_service._validate_langchain_tool')\n    @patch('backend.services.tool_configuration_service.validate_tool_impl')\n    async def test_validate_tool_langchain(self, mock_validate_tool_impl, mock_validate_langchain):\n        \"\"\"Test LangChain tool validation\"\"\"\n        mock_validate_langchain.return_value = \"langchain result\"\n        mock_validate_tool_impl.return_value = \"langchain result\"\n\n        request = ToolValidateRequest(\n            name=\"test_tool\",\n            source=ToolSourceEnum.LANGCHAIN.value,\n            usage=None,\n            inputs={\"param\": \"value\"}\n        )\n\n        from backend.services.tool_configuration_service import validate_tool_impl\n        result = await validate_tool_impl(request, \"tenant1\")\n\n        assert result == \"langchain result\"\n        mock_validate_tool_impl.assert_called_once_with(request, \"tenant1\")\n\n    @patch('backend.services.tool_configuration_service.validate_tool_impl')\n    async def test_validate_tool_unsupported_source(self, mock_validate_tool_impl):\n        \"\"\"Test validation with unsupported tool source\"\"\"\n        mock_validate_tool_impl.side_effect = ToolExecutionException(\n            \"Unsupported tool source: unsupported\")\n\n        request = ToolValidateRequest(\n            name=\"test_tool\",\n            source=\"unsupported\",\n            usage=None,\n            inputs={\"param\": \"value\"}\n        )\n\n        from backend.services.tool_configuration_service import validate_tool_impl\n        with pytest.raises(ToolExecutionException, match=\"Unsupported tool source: unsupported\"):\n            await validate_tool_impl(request, \"tenant1\")\n\n    @patch('backend.services.tool_configuration_service._validate_mcp_tool_nexent')\n    @patch('backend.services.tool_configuration_service.validate_tool_impl')\n    async def test_validate_tool_nexent_connection_error(self, mock_validate_tool_impl, mock_validate_nexent):\n        \"\"\"Test MCP tool validation when connection fails\"\"\"\n        mock_validate_nexent.side_effect = MCPConnectionError(\n            \"Connection failed\")\n        mock_validate_tool_impl.side_effect = MCPConnectionError(\n            \"Connection failed\")\n\n        request = ToolValidateRequest(\n            name=\"test_tool\",\n            source=ToolSourceEnum.MCP.value,\n            usage=\"nexent\",\n            inputs={\"param\": \"value\"}\n        )\n\n        from backend.services.tool_configuration_service import validate_tool_impl\n        with pytest.raises(MCPConnectionError, match=\"Connection failed\"):\n            await validate_tool_impl(request, \"tenant1\")\n\n    @patch('backend.services.tool_configuration_service._validate_local_tool')\n    @patch('backend.services.tool_configuration_service.validate_tool_impl')\n    async def test_validate_tool_local_execution_error(self, mock_validate_tool_impl, mock_validate_local):\n        \"\"\"Test local tool validation when execution fails\"\"\"\n        mock_validate_local.side_effect = Exception(\"Execution failed\")\n        mock_validate_tool_impl.side_effect = ToolExecutionException(\n            \"Execution failed\")\n\n        request = ToolValidateRequest(\n            name=\"test_tool\",\n            source=ToolSourceEnum.LOCAL.value,\n            usage=None,\n            inputs={\"param\": \"value\"},\n            params={\"config\": \"value\"}\n        )\n\n        from backend.services.tool_configuration_service import validate_tool_impl\n        with pytest.raises(ToolExecutionException, match=\"Execution failed\"):\n            await validate_tool_impl(request, \"tenant1\")\n\n    @patch('backend.services.tool_configuration_service._validate_mcp_tool_remote')\n    @patch('backend.services.tool_configuration_service.validate_tool_impl')\n    async def test_validate_tool_remote_server_not_found(self, mock_validate_tool_impl, mock_validate_remote):\n        \"\"\"Test MCP tool validation when remote server not found\"\"\"\n        mock_validate_remote.side_effect = NotFoundException(\n            \"MCP server not found for name: test_server\")\n        mock_validate_tool_impl.side_effect = NotFoundException(\n            \"MCP server not found for name: test_server\")\n\n        request = ToolValidateRequest(\n            name=\"test_tool\",\n            source=ToolSourceEnum.MCP.value,\n            usage=\"test_server\",\n            inputs={\"param\": \"value\"}\n        )\n\n        from backend.services.tool_configuration_service import validate_tool_impl\n        with pytest.raises(NotFoundException, match=\"MCP server not found for name: test_server\"):\n            await validate_tool_impl(request, \"tenant1\")\n\n    @patch('backend.services.tool_configuration_service._validate_local_tool')\n    @patch('backend.services.tool_configuration_service.validate_tool_impl')\n    async def test_validate_tool_local_tool_not_found(self, mock_validate_tool_impl, mock_validate_local):\n        \"\"\"Test local tool validation when tool class not found\"\"\"\n        mock_validate_local.side_effect = NotFoundException(\n            \"Tool class not found for test_tool\")\n        mock_validate_tool_impl.side_effect = NotFoundException(\n            \"Tool class not found for test_tool\")\n\n        request = ToolValidateRequest(\n            name=\"test_tool\",\n            source=ToolSourceEnum.LOCAL.value,\n            usage=None,\n            inputs={\"param\": \"value\"},\n            params={\"config\": \"value\"}\n        )\n\n        from backend.services.tool_configuration_service import validate_tool_impl\n        with pytest.raises(NotFoundException, match=\"Tool class not found for test_tool\"):\n            await validate_tool_impl(request, \"tenant1\")\n\n    @patch('backend.services.tool_configuration_service._validate_langchain_tool')\n    @patch('backend.services.tool_configuration_service.validate_tool_impl')\n    async def test_validate_tool_langchain_tool_not_found(self, mock_validate_tool_impl, mock_validate_langchain):\n        \"\"\"Test LangChain tool validation when tool not found\"\"\"\n        mock_validate_langchain.side_effect = NotFoundException(\n            \"Tool 'test_tool' not found in LangChain tools\")\n        mock_validate_tool_impl.side_effect = NotFoundException(\n            \"Tool 'test_tool' not found in LangChain tools\")\n\n        request = ToolValidateRequest(\n            name=\"test_tool\",\n            source=ToolSourceEnum.LANGCHAIN.value,\n            usage=None,\n            inputs={\"param\": \"value\"}\n        )\n\n        from backend.services.tool_configuration_service import validate_tool_impl\n        with pytest.raises(NotFoundException, match=\"Tool 'test_tool' not found in LangChain tools\"):\n            await validate_tool_impl(request, \"tenant1\")\n\n\nclass TestValidateLocalToolKnowledgeBaseSearch:\n    \"\"\"Test cases for _validate_local_tool function with knowledge_base_search tool\"\"\"\n\n    @patch('backend.services.tool_configuration_service._get_tool_class_by_name')\n    @patch('backend.services.tool_configuration_service.inspect.signature')\n    @patch('backend.services.tool_configuration_service.get_embedding_model')\n    @patch('backend.services.tool_configuration_service.get_vector_db_core')\n    def test_validate_local_tool_knowledge_base_search_success(self, mock_get_vector_db_core, mock_get_embedding_model,\n                                                               mock_signature, mock_get_class):\n        \"\"\"Test successful knowledge_base_search tool validation with proper dependencies\"\"\"\n        # Mock tool class\n        mock_tool_class = Mock()\n        mock_tool_instance = Mock()\n        mock_tool_instance.forward.return_value = \"knowledge base search result\"\n        mock_tool_class.return_value = mock_tool_instance\n\n        mock_get_class.return_value = mock_tool_class\n\n        # Mock signature for knowledge_base_search tool\n        mock_sig = Mock()\n        mock_index_names_param = Mock()\n        mock_index_names_param.default = [\"default_index\"]\n\n        mock_sig.parameters = {\n            'self': Mock(),\n            'index_names': mock_index_names_param,\n            'vdb_core': Mock(),\n            'embedding_model': Mock()\n        }\n        mock_signature.return_value = mock_sig\n\n        # Mock knowledge base dependencies\n        mock_get_embedding_model.return_value = \"mock_embedding_model\"\n        mock_vdb_core = Mock()\n        mock_get_vector_db_core.return_value = mock_vdb_core\n\n        from backend.services.tool_configuration_service import _validate_local_tool\n\n        result = _validate_local_tool(\n            \"knowledge_base_search\",\n            {\"query\": \"test query\"},\n            {\"param\": \"config\"},\n            \"tenant1\",\n            \"user1\"\n        )\n\n        assert result == \"knowledge base search result\"\n        mock_get_class.assert_called_once_with(\"knowledge_base_search\")\n\n        # Verify knowledge base specific parameters were passed\n        expected_params = {\n            \"param\": \"config\",\n            \"index_names\": [\"default_index\"],\n            \"vdb_core\": mock_vdb_core,\n            \"embedding_model\": \"mock_embedding_model\",\n        }\n        mock_tool_class.assert_called_once_with(**expected_params)\n        mock_tool_instance.forward.assert_called_once_with(query=\"test query\")\n\n        # Verify service calls\n        mock_get_embedding_model.assert_called_once_with(tenant_id=\"tenant1\")\n\n    @patch('backend.services.tool_configuration_service._get_tool_class_by_name')\n    @patch('backend.services.tool_configuration_service.get_embedding_model')\n    @patch('backend.services.tool_configuration_service.get_vector_db_core')\n    def test_validate_local_tool_knowledge_base_search_missing_tenant_id(self, mock_get_vector_db_core,\n                                                                        mock_get_embedding_model, mock_get_class):\n        \"\"\"Test knowledge_base_search tool validation when tenant_id is missing\"\"\"\n        mock_tool_class = Mock()\n        mock_tool_instance = Mock()\n        mock_tool_instance.forward.return_value = \"knowledge base search result\"\n        mock_tool_class.return_value = mock_tool_instance\n        mock_get_class.return_value = mock_tool_class\n\n        mock_get_embedding_model.return_value = \"mock_embedding_model\"\n        mock_get_vector_db_core.return_value = Mock()\n\n        from backend.services.tool_configuration_service import _validate_local_tool\n\n        # knowledge_base_search doesn't require tenant_id/user_id in current implementation\n        result = _validate_local_tool(\n            \"knowledge_base_search\",\n            {\"query\": \"test query\"},\n            {\"param\": \"config\"},\n            None,  # Missing tenant_id\n            \"user1\"\n        )\n\n        assert result == \"knowledge base search result\"\n\n    @patch('backend.services.tool_configuration_service._get_tool_class_by_name')\n    @patch('backend.services.tool_configuration_service.get_embedding_model')\n    @patch('backend.services.tool_configuration_service.get_vector_db_core')\n    def test_validate_local_tool_knowledge_base_search_missing_user_id(self, mock_get_vector_db_core,\n                                                                       mock_get_embedding_model, mock_get_class):\n        \"\"\"Test knowledge_base_search tool validation when user_id is missing\"\"\"\n        mock_tool_class = Mock()\n        mock_tool_instance = Mock()\n        mock_tool_instance.forward.return_value = \"knowledge base search result\"\n        mock_tool_class.return_value = mock_tool_instance\n        mock_get_class.return_value = mock_tool_class\n\n        mock_get_embedding_model.return_value = \"mock_embedding_model\"\n        mock_get_vector_db_core.return_value = Mock()\n\n        from backend.services.tool_configuration_service import _validate_local_tool\n\n        # knowledge_base_search doesn't require tenant_id/user_id in current implementation\n        result = _validate_local_tool(\n            \"knowledge_base_search\",\n            {\"query\": \"test query\"},\n            {\"param\": \"config\"},\n            \"tenant1\",\n            None  # Missing user_id\n        )\n\n        assert result == \"knowledge base search result\"\n\n    @patch('backend.services.tool_configuration_service._get_tool_class_by_name')\n    @patch('backend.services.tool_configuration_service.get_embedding_model')\n    @patch('backend.services.tool_configuration_service.get_vector_db_core')\n    def test_validate_local_tool_knowledge_base_search_missing_both_ids(self, mock_get_vector_db_core,\n                                                                        mock_get_embedding_model, mock_get_class):\n        \"\"\"Test knowledge_base_search tool validation when both tenant_id and user_id are missing\"\"\"\n        mock_tool_class = Mock()\n        mock_tool_instance = Mock()\n        mock_tool_instance.forward.return_value = \"knowledge base search result\"\n        mock_tool_class.return_value = mock_tool_instance\n        mock_get_class.return_value = mock_tool_class\n\n        mock_get_embedding_model.return_value = \"mock_embedding_model\"\n        mock_get_vector_db_core.return_value = Mock()\n\n        from backend.services.tool_configuration_service import _validate_local_tool\n\n        # knowledge_base_search doesn't require tenant_id/user_id in current implementation\n        result = _validate_local_tool(\n            \"knowledge_base_search\",\n            {\"query\": \"test query\"},\n            {\"param\": \"config\"},\n            None,  # Missing tenant_id\n            None   # Missing user_id\n        )\n\n        assert result == \"knowledge base search result\"\n\n    @patch('backend.services.tool_configuration_service._get_tool_class_by_name')\n    @patch('backend.services.tool_configuration_service.inspect.signature')\n    @patch('backend.services.tool_configuration_service.get_embedding_model')\n    @patch('backend.services.tool_configuration_service.get_vector_db_core')\n    def test_validate_local_tool_knowledge_base_search_empty_knowledge_list(self, mock_get_vector_db_core,\n                                                                            mock_get_embedding_model,\n                                                                            mock_signature,\n                                                                            mock_get_class):\n        \"\"\"Test knowledge_base_search tool validation with empty knowledge list\"\"\"\n        # Mock tool class\n        mock_tool_class = Mock()\n        mock_tool_instance = Mock()\n        mock_tool_instance.forward.return_value = \"empty knowledge result\"\n        mock_tool_class.return_value = mock_tool_instance\n\n        mock_get_class.return_value = mock_tool_class\n\n        # Mock signature for knowledge_base_search tool\n        mock_sig = Mock()\n        mock_index_names_param = Mock()\n        mock_index_names_param.default = []\n        mock_sig.parameters = {\n            'self': Mock(),\n            'index_names': mock_index_names_param,\n            'vdb_core': Mock(),\n            'embedding_model': Mock()\n        }\n        mock_signature.return_value = mock_sig\n\n        # Mock empty knowledge list\n        mock_get_embedding_model.return_value = \"mock_embedding_model\"\n        mock_vdb_core = Mock()\n        mock_get_vector_db_core.return_value = mock_vdb_core\n\n        from backend.services.tool_configuration_service import _validate_local_tool\n\n        result = _validate_local_tool(\n            \"knowledge_base_search\",\n            {\"query\": \"test query\"},\n            {\"param\": \"config\"},\n            \"tenant1\",\n            \"user1\"\n        )\n\n        assert result == \"empty knowledge result\"\n\n        # Verify knowledge base specific parameters were passed with empty index_names\n        expected_params = {\n            \"param\": \"config\",\n            \"index_names\": [],\n            \"vdb_core\": mock_vdb_core,\n            \"embedding_model\": \"mock_embedding_model\",\n        }\n        mock_tool_class.assert_called_once_with(**expected_params)\n        mock_tool_instance.forward.assert_called_once_with(query=\"test query\")\n\n\n    @patch('backend.services.tool_configuration_service._get_tool_class_by_name')\n    @patch('backend.services.tool_configuration_service.inspect.signature')\n    @patch('backend.services.tool_configuration_service.get_embedding_model')\n    @patch('backend.services.tool_configuration_service.get_vector_db_core')\n    def test_validate_local_tool_knowledge_base_search_execution_error(self, mock_get_vector_db_core,\n                                                                       mock_get_embedding_model,\n                                                                       mock_signature,\n                                                                       mock_get_class):\n        \"\"\"Test knowledge_base_search tool validation when execution fails\"\"\"\n        # Mock tool class\n        mock_tool_class = Mock()\n        mock_tool_instance = Mock()\n        mock_tool_instance.forward.side_effect = Exception(\n            \"Knowledge base search failed\")\n        mock_tool_class.return_value = mock_tool_instance\n\n        mock_get_class.return_value = mock_tool_class\n\n        # Mock signature for knowledge_base_search tool\n        mock_sig = Mock()\n        mock_index_names_param = Mock()\n        mock_index_names_param.default = [\"default_index\"]\n        mock_sig.parameters = {\n            'self': Mock(),\n            'index_names': mock_index_names_param,\n            'vdb_core': Mock(),\n            'embedding_model': Mock()\n        }\n        mock_signature.return_value = mock_sig\n\n        # Mock knowledge base dependencies\n        mock_get_embedding_model.return_value = \"mock_embedding_model\"\n        mock_vdb_core = Mock()\n        mock_get_vector_db_core.return_value = mock_vdb_core\n\n        from backend.services.tool_configuration_service import _validate_local_tool\n\n        with pytest.raises(ToolExecutionException,\n                           match=\"Local tool knowledge_base_search validation failed: Knowledge base search failed\"):\n            _validate_local_tool(\n                \"knowledge_base_search\",\n                {\"query\": \"test query\"},\n                {\"param\": \"config\"},\n                \"tenant1\",\n                \"user1\"\n            )\n\n\nclass TestValidateLocalToolAnalyzeImage:\n    \"\"\"Test cases for _validate_local_tool with analyze_image tool.\"\"\"\n\n    @patch('backend.services.tool_configuration_service.minio_client')\n    @patch('backend.services.tool_configuration_service.get_vlm_model')\n    @patch('backend.services.tool_configuration_service._get_tool_class_by_name')\n    @patch('backend.services.tool_configuration_service.inspect.signature')\n    def test_validate_local_tool_analyze_image_success(self, mock_signature, mock_get_class, mock_get_vlm_model, mock_minio_client):\n        mock_tool_class = Mock()\n        mock_tool_instance = Mock()\n        mock_tool_instance.forward.return_value = \"analyze image result\"\n        mock_tool_class.return_value = mock_tool_instance\n        mock_get_class.return_value = mock_tool_class\n        mock_get_vlm_model.return_value = \"mock_vlm_model\"\n\n        mock_sig = Mock()\n        mock_sig.parameters = {}\n        mock_signature.return_value = mock_sig\n\n        from backend.services.tool_configuration_service import _validate_local_tool\n\n        result = _validate_local_tool(\n            \"analyze_image\",\n            {\"image\": \"bytes\"},\n            {\"prompt\": \"describe\"},\n            \"tenant1\",\n            \"user1\"\n        )\n\n        assert result == \"analyze image result\"\n        mock_get_vlm_model.assert_called_once_with(tenant_id=\"tenant1\")\n        mock_tool_class.assert_called_once_with(\n            prompt=\"describe\",\n            vlm_model=\"mock_vlm_model\",\n            storage_client=mock_minio_client\n        )\n        mock_tool_instance.forward.assert_called_once_with(image=\"bytes\")\n\n    @patch('backend.services.tool_configuration_service._get_tool_class_by_name')\n    def test_validate_local_tool_analyze_image_missing_tenant(self, mock_get_class):\n        mock_get_class.return_value = Mock()\n\n        from backend.services.tool_configuration_service import _validate_local_tool\n\n        with pytest.raises(ToolExecutionException,\n                           match=\"Tenant ID and User ID are required for analyze_image validation\"):\n            _validate_local_tool(\n                \"analyze_image\",\n                {\"image\": \"bytes\"},\n                {\"prompt\": \"describe\"},\n                None,\n                \"user1\"\n            )\n\n    @patch('backend.services.tool_configuration_service._get_tool_class_by_name')\n    def test_validate_local_tool_analyze_image_missing_user(self, mock_get_class):\n        mock_get_class.return_value = Mock()\n\n        from backend.services.tool_configuration_service import _validate_local_tool\n\n        with pytest.raises(ToolExecutionException,\n                           match=\"Tenant ID and User ID are required for analyze_image validation\"):\n            _validate_local_tool(\n                \"analyze_image\",\n                {\"image\": \"bytes\"},\n                {\"prompt\": \"describe\"},\n                \"tenant1\",\n                None\n            )\n\n\nclass TestValidateLocalToolDatamateSearchTool:\n    \"\"\"Test cases for _validate_local_tool function with datamate_search_tool\"\"\"\n\n    @patch('backend.services.tool_configuration_service._get_tool_class_by_name')\n    @patch('backend.services.tool_configuration_service.inspect.signature')\n    def test_validate_local_tool_datamate_search_tool_success(self, mock_signature, mock_get_class):\n        \"\"\"Test successful datamate_search_tool validation with proper dependencies\"\"\"\n        # Mock tool class\n        mock_tool_class = Mock()\n        mock_tool_instance = Mock()\n        mock_tool_instance.forward.return_value = \"datamate search result\"\n        mock_tool_class.return_value = mock_tool_instance\n\n        mock_get_class.return_value = mock_tool_class\n\n        # Mock signature for datamate_search_tool\n        # _validate_local_tool fills missing instantiation params from signature defaults.\n        # For datamate_search there is no special index selection logic, so index_names\n        # should come from the default value (empty list).\n        mock_sig = Mock()\n        mock_sig.parameters = {\n            'self': Mock(),\n            'index_names': Mock(default=Mock(default=[])),\n        }\n        mock_signature.return_value = mock_sig\n\n        from backend.services.tool_configuration_service import _validate_local_tool\n\n        result = _validate_local_tool(\n            \"datamate_search\",\n            {\"query\": \"test query\"},\n            {\"param\": \"config\"},\n            \"tenant1\",\n            \"user1\"\n        )\n\n        assert result == \"datamate search result\"\n        mock_get_class.assert_called_once_with(\"datamate_search\")\n\n        # Verify datamate_search_tool specific parameters were passed\n        expected_params = {\n            \"param\": \"config\",\n            # Filled from signature default\n            \"index_names\": [],\n        }\n        mock_tool_class.assert_called_once_with(**expected_params)\n        mock_tool_instance.forward.assert_called_once_with(query=\"test query\")\n\n    @patch('backend.services.tool_configuration_service._get_tool_class_by_name')\n    def test_validate_local_tool_datamate_search_tool_missing_tenant_id(self, mock_get_class):\n        \"\"\"Test datamate_search_tool validation when tenant_id is missing\"\"\"\n        mock_tool_class = Mock()\n        mock_tool_instance = Mock()\n        mock_tool_instance.forward.return_value = \"datamate search result\"\n        mock_tool_class.return_value = mock_tool_instance\n        mock_get_class.return_value = mock_tool_class\n\n        from backend.services.tool_configuration_service import _validate_local_tool\n\n        # datamate_search does not require tenant/user in current implementation\n        result = _validate_local_tool(\n            \"datamate_search\",\n            {\"query\": \"test query\"},\n            {\"param\": \"config\"},\n            None,  # Missing tenant_id\n            \"user1\"\n        )\n        assert result == \"datamate search result\"\n\n    @patch('backend.services.tool_configuration_service._get_tool_class_by_name')\n    def test_validate_local_tool_datamate_search_tool_missing_user_id(self, mock_get_class):\n        \"\"\"Test datamate_search_tool validation when user_id is missing\"\"\"\n        mock_tool_class = Mock()\n        mock_tool_instance = Mock()\n        mock_tool_instance.forward.return_value = \"datamate search result\"\n        mock_tool_class.return_value = mock_tool_instance\n        mock_get_class.return_value = mock_tool_class\n\n        from backend.services.tool_configuration_service import _validate_local_tool\n\n        # datamate_search does not require tenant/user in current implementation\n        result = _validate_local_tool(\n            \"datamate_search\",\n            {\"query\": \"test query\"},\n            {\"param\": \"config\"},\n            \"tenant1\",\n            None  # Missing user_id\n        )\n        assert result == \"datamate search result\"\n\n    @patch('backend.services.tool_configuration_service._get_tool_class_by_name')\n    def test_validate_local_tool_datamate_search_tool_missing_both_ids(self, mock_get_class):\n        \"\"\"Test datamate_search_tool validation when both tenant_id and user_id are missing\"\"\"\n        mock_tool_class = Mock()\n        mock_tool_instance = Mock()\n        mock_tool_instance.forward.return_value = \"datamate search result\"\n        mock_tool_class.return_value = mock_tool_instance\n        mock_get_class.return_value = mock_tool_class\n\n        from backend.services.tool_configuration_service import _validate_local_tool\n\n        # datamate_search does not require tenant/user in current implementation\n        result = _validate_local_tool(\n            \"datamate_search\",\n            {\"query\": \"test query\"},\n            {\"param\": \"config\"},\n            None,  # Missing tenant_id\n            None   # Missing user_id\n        )\n        assert result == \"datamate search result\"\n\n    @patch('backend.services.tool_configuration_service._get_tool_class_by_name')\n    @patch('backend.services.tool_configuration_service.inspect.signature')\n    def test_validate_local_tool_datamate_search_tool_empty_knowledge_list(self, mock_signature, mock_get_class):\n        \"\"\"Test datamate_search_tool validation with empty knowledge list\"\"\"\n        # Mock tool class\n        mock_tool_class = Mock()\n        mock_tool_instance = Mock()\n        mock_tool_instance.forward.return_value = \"empty datamate result\"\n        mock_tool_class.return_value = mock_tool_instance\n\n        mock_get_class.return_value = mock_tool_class\n\n        # Mock signature for datamate_search_tool (default empty list)\n        mock_sig = Mock()\n        mock_sig.parameters = {\n            'self': Mock(),\n            'index_names': Mock(default=Mock(default=[])),\n        }\n        mock_signature.return_value = mock_sig\n\n        from backend.services.tool_configuration_service import _validate_local_tool\n\n        result = _validate_local_tool(\n            \"datamate_search\",\n            {\"query\": \"test query\"},\n            {\"param\": \"config\"},\n            \"tenant1\",\n            \"user1\"\n        )\n\n        assert result == \"empty datamate result\"\n\n        # Verify parameters were passed with empty index_names\n        expected_params = {\n            \"param\": \"config\",\n            \"index_names\": [],  # Empty list since no datamate sources\n        }\n        mock_tool_class.assert_called_once_with(**expected_params)\n        mock_tool_instance.forward.assert_called_once_with(query=\"test query\")\n\n    @patch('backend.services.tool_configuration_service._get_tool_class_by_name')\n    @patch('backend.services.tool_configuration_service.inspect.signature')\n    def test_validate_local_tool_datamate_search_tool_no_datamate_sources(self, mock_signature, mock_get_class):\n        \"\"\"Test datamate_search_tool validation when no datamate sources exist\"\"\"\n        # Mock tool class\n        mock_tool_class = Mock()\n        mock_tool_instance = Mock()\n        mock_tool_instance.forward.return_value = \"no datamate sources result\"\n        mock_tool_class.return_value = mock_tool_instance\n\n        mock_get_class.return_value = mock_tool_class\n\n        # Mock signature for datamate_search_tool (default empty list)\n        mock_sig = Mock()\n        mock_sig.parameters = {\n            'self': Mock(),\n            'index_names': Mock(default=Mock(default=[])),\n        }\n        mock_signature.return_value = mock_sig\n\n        from backend.services.tool_configuration_service import _validate_local_tool\n\n        result = _validate_local_tool(\n            \"datamate_search\",\n            {\"query\": \"test query\"},\n            {\"param\": \"config\"},\n            \"tenant1\",\n            \"user1\"\n        )\n\n        assert result == \"no datamate sources result\"\n\n        # Verify parameters were passed with empty index_names\n        expected_params = {\n            \"param\": \"config\",\n            \"index_names\": [],  # Empty list since no datamate sources\n        }\n        mock_tool_class.assert_called_once_with(**expected_params)\n        mock_tool_instance.forward.assert_called_once_with(query=\"test query\")\n\n    @patch('backend.services.tool_configuration_service._get_tool_class_by_name')\n    @patch('backend.services.tool_configuration_service.inspect.signature')\n    def test_validate_local_tool_datamate_search_tool_execution_error(self, mock_signature, mock_get_class):\n        \"\"\"Test datamate_search_tool validation when execution fails\"\"\"\n        # Mock tool class\n        mock_tool_class = Mock()\n        mock_tool_instance = Mock()\n        mock_tool_instance.forward.side_effect = Exception(\n            \"Datamate search failed\")\n        mock_tool_class.return_value = mock_tool_instance\n\n        mock_get_class.return_value = mock_tool_class\n\n        # Mock signature for datamate_search_tool\n        mock_sig = Mock()\n        mock_sig.parameters = {\n            'self': Mock(),\n            'index_names': Mock(),\n        }\n        mock_signature.return_value = mock_sig\n\n        from backend.services.tool_configuration_service import _validate_local_tool\n\n        with pytest.raises(ToolExecutionException,\n                           match=r\"Local tool datamate_search validation failed: Datamate search failed\"):\n            _validate_local_tool(\n                \"datamate_search\",\n                {\"query\": \"test query\"},\n                {\"param\": \"config\"},\n                \"tenant1\",\n                \"user1\"\n            )\n\n\nclass TestValidateLocalToolAnalyzeTextFile:\n    \"\"\"Test cases for _validate_local_tool function with analyze_text_file tool\"\"\"\n\n    @patch('backend.services.tool_configuration_service._get_tool_class_by_name')\n    @patch('backend.services.tool_configuration_service.inspect.signature')\n    @patch('backend.services.tool_configuration_service.get_llm_model')\n    @patch('backend.services.tool_configuration_service.minio_client')\n    @patch('backend.services.tool_configuration_service.DATA_PROCESS_SERVICE', \"http://data-process-service\")\n    def test_validate_local_tool_analyze_text_file_success(self, mock_minio_client, mock_get_llm_model,\n                                                           mock_signature, mock_get_class):\n        \"\"\"Test successful analyze_text_file tool validation with proper dependencies\"\"\"\n        # Mock tool class\n        mock_tool_class = Mock()\n        mock_tool_instance = Mock()\n        mock_tool_instance.forward.return_value = \"analyze text file result\"\n        mock_tool_class.return_value = mock_tool_instance\n\n        mock_get_class.return_value = mock_tool_class\n\n        # Mock signature for analyze_text_file tool\n        mock_sig = Mock()\n        mock_sig.parameters = {\n            'self': Mock(),\n            'llm_model': Mock(),\n            'storage_client': Mock(),\n            'data_process_service_url': Mock()\n        }\n        mock_signature.return_value = mock_sig\n\n        # Mock dependencies\n        mock_llm_model = Mock()\n        mock_get_llm_model.return_value = mock_llm_model\n\n        from backend.services.tool_configuration_service import _validate_local_tool\n\n        result = _validate_local_tool(\n            \"analyze_text_file\",\n            {\"input\": \"test input\"},\n            {\"param\": \"config\"},\n            \"tenant1\",\n            \"user1\"\n        )\n\n        assert result == \"analyze text file result\"\n        mock_get_class.assert_called_once_with(\"analyze_text_file\")\n\n        # Verify analyze_text_file specific parameters were passed\n        expected_params = {\n            \"param\": \"config\",\n            \"llm_model\": mock_llm_model,\n            \"storage_client\": mock_minio_client,\n            \"data_process_service_url\": \"http://data-process-service\",\n        }\n        mock_tool_class.assert_called_once_with(**expected_params)\n        mock_tool_instance.forward.assert_called_once_with(input=\"test input\")\n\n        # Verify service calls\n        mock_get_llm_model.assert_called_once_with(tenant_id=\"tenant1\")\n\n    @patch('backend.services.tool_configuration_service._get_tool_class_by_name')\n    def test_validate_local_tool_analyze_text_file_missing_tenant_id(self, mock_get_class):\n        \"\"\"Test analyze_text_file tool validation when tenant_id is missing\"\"\"\n        mock_tool_class = Mock()\n        mock_get_class.return_value = mock_tool_class\n\n        from backend.services.tool_configuration_service import _validate_local_tool\n\n        with pytest.raises(ToolExecutionException,\n                           match=\"Tenant ID and User ID are required for analyze_text_file validation\"):\n            _validate_local_tool(\n                \"analyze_text_file\",\n                {\"input\": \"test input\"},\n                {\"param\": \"config\"},\n                None,  # Missing tenant_id\n                \"user1\"\n            )\n\n    @patch('backend.services.tool_configuration_service._get_tool_class_by_name')\n    def test_validate_local_tool_analyze_text_file_missing_user_id(self, mock_get_class):\n        \"\"\"Test analyze_text_file tool validation when user_id is missing\"\"\"\n        mock_tool_class = Mock()\n        mock_get_class.return_value = mock_tool_class\n\n        from backend.services.tool_configuration_service import _validate_local_tool\n\n        with pytest.raises(ToolExecutionException,\n                           match=\"Tenant ID and User ID are required for analyze_text_file validation\"):\n            _validate_local_tool(\n                \"analyze_text_file\",\n                {\"input\": \"test input\"},\n                {\"param\": \"config\"},\n                \"tenant1\",\n                None  # Missing user_id\n            )\n\n    @patch('backend.services.tool_configuration_service._get_tool_class_by_name')\n    def test_validate_local_tool_analyze_text_file_missing_both_ids(self, mock_get_class):\n        \"\"\"Test analyze_text_file tool validation when both tenant_id and user_id are missing\"\"\"\n        mock_tool_class = Mock()\n        mock_get_class.return_value = mock_tool_class\n\n        from backend.services.tool_configuration_service import _validate_local_tool\n\n        with pytest.raises(ToolExecutionException,\n                           match=\"Tenant ID and User ID are required for analyze_text_file validation\"):\n            _validate_local_tool(\n                \"analyze_text_file\",\n                {\"input\": \"test input\"},\n                {\"param\": \"config\"},\n                None,  # Missing tenant_id\n                None   # Missing user_id\n            )\n\n\nclass TestGetLlmModel:\n    \"\"\"Test cases for get_llm_model function\"\"\"\n\n    @patch('backend.services.file_management_service.MODEL_CONFIG_MAPPING', {\"llm\": \"llm_config_key\"})\n    @patch('backend.services.file_management_service.MessageObserver')\n    @patch('backend.services.file_management_service.OpenAILongContextModel')\n    @patch('backend.services.file_management_service.get_model_name_from_config')\n    @patch('backend.services.file_management_service.tenant_config_manager')\n    def test_get_llm_model_success(self, mock_tenant_config, mock_get_model_name, mock_openai_model, mock_message_observer):\n        \"\"\"Test successful LLM model retrieval\"\"\"\n        from backend.services.file_management_service import get_llm_model\n\n        # Mock tenant config manager\n        mock_config = {\n            \"base_url\": \"http://api.example.com\",\n            \"api_key\": \"test_api_key\",\n            \"max_tokens\": 4096\n        }\n        mock_tenant_config.get_model_config.return_value = mock_config\n\n        # Mock model name\n        mock_get_model_name.return_value = \"gpt-4\"\n\n        # Mock MessageObserver\n        mock_observer_instance = Mock()\n        mock_message_observer.return_value = mock_observer_instance\n\n        # Mock OpenAILongContextModel\n        mock_model_instance = Mock()\n        mock_openai_model.return_value = mock_model_instance\n\n        # Execute\n        result = get_llm_model(\"tenant123\")\n\n        # Assertions\n        assert result == mock_model_instance\n        mock_tenant_config.get_model_config.assert_called_once_with(\n            key=\"llm_config_key\", tenant_id=\"tenant123\")\n        mock_get_model_name.assert_called_once_with(mock_config)\n        mock_message_observer.assert_called_once()\n        mock_openai_model.assert_called_once_with(\n            observer=mock_observer_instance,\n            model_id=\"gpt-4\",\n            api_base=\"http://api.example.com\",\n            api_key=\"test_api_key\",\n            max_context_tokens=4096,\n            ssl_verify=True\n        )\n\n    @patch('backend.services.file_management_service.MODEL_CONFIG_MAPPING', {\"llm\": \"llm_config_key\"})\n    @patch('backend.services.file_management_service.MessageObserver')\n    @patch('backend.services.file_management_service.OpenAILongContextModel')\n    @patch('backend.services.file_management_service.get_model_name_from_config')\n    @patch('backend.services.file_management_service.tenant_config_manager')\n    def test_get_llm_model_with_missing_config_values(self, mock_tenant_config, mock_get_model_name, mock_openai_model, mock_message_observer):\n        \"\"\"Test get_llm_model with missing config values\"\"\"\n        from backend.services.file_management_service import get_llm_model\n\n        # Mock tenant config manager with missing values\n        mock_config = {\n            \"base_url\": \"http://api.example.com\"\n            # Missing api_key and max_tokens\n        }\n        mock_tenant_config.get_model_config.return_value = mock_config\n\n        # Mock model name\n        mock_get_model_name.return_value = \"gpt-4\"\n\n        # Mock MessageObserver\n        mock_observer_instance = Mock()\n        mock_message_observer.return_value = mock_observer_instance\n\n        # Mock OpenAILongContextModel\n        mock_model_instance = Mock()\n        mock_openai_model.return_value = mock_model_instance\n\n        # Execute\n        result = get_llm_model(\"tenant123\")\n\n        # Assertions\n        assert result == mock_model_instance\n        # Verify that get() is used for missing values (returns None)\n        mock_openai_model.assert_called_once()\n        call_kwargs = mock_openai_model.call_args[1]\n        assert call_kwargs[\"api_key\"] is None\n        assert call_kwargs[\"max_context_tokens\"] is None\n\n    @patch('backend.services.file_management_service.MODEL_CONFIG_MAPPING', {\"llm\": \"llm_config_key\"})\n    @patch('backend.services.file_management_service.MessageObserver')\n    @patch('backend.services.file_management_service.OpenAILongContextModel')\n    @patch('backend.services.file_management_service.get_model_name_from_config')\n    @patch('backend.services.file_management_service.tenant_config_manager')\n    def test_get_llm_model_with_different_tenant_ids(self, mock_tenant_config, mock_get_model_name, mock_openai_model, mock_message_observer):\n        \"\"\"Test get_llm_model with different tenant IDs\"\"\"\n        from backend.services.file_management_service import get_llm_model\n\n        # Mock tenant config manager\n        mock_config = {\n            \"base_url\": \"http://api.example.com\",\n            \"api_key\": \"test_api_key\",\n            \"max_tokens\": 4096\n        }\n        mock_tenant_config.get_model_config.return_value = mock_config\n\n        # Mock model name\n        mock_get_model_name.return_value = \"gpt-4\"\n\n        # Mock MessageObserver\n        mock_observer_instance = Mock()\n        mock_message_observer.return_value = mock_observer_instance\n\n        # Mock OpenAILongContextModel\n        mock_model_instance = Mock()\n        mock_openai_model.return_value = mock_model_instance\n\n        # Execute with different tenant IDs\n        result1 = get_llm_model(\"tenant1\")\n        result2 = get_llm_model(\"tenant2\")\n\n        # Assertions\n        assert result1 == mock_model_instance\n        assert result2 == mock_model_instance\n        # Verify tenant config was called with different tenant IDs\n        assert mock_tenant_config.get_model_config.call_count == 2\n        assert mock_tenant_config.get_model_config.call_args_list[0][1][\"tenant_id\"] == \"tenant1\"\n        assert mock_tenant_config.get_model_config.call_args_list[1][1][\"tenant_id\"] == \"tenant2\"\n\n\nclass TestInitToolListForTenant:\n    \"\"\"Test cases for init_tool_list_for_tenant function\"\"\"\n\n    @pytest.mark.asyncio\n    @patch('backend.services.tool_configuration_service.check_tool_list_initialized')\n    @patch('backend.services.tool_configuration_service.update_tool_list', new_callable=AsyncMock)\n    async def test_init_tool_list_for_tenant_success_new_tenant(self, mock_update_tool_list, mock_check_initialized):\n        \"\"\"Test successful initialization for a new tenant\"\"\"\n        # Mock that tools are not yet initialized for this tenant\n        mock_check_initialized.return_value = False\n\n        from backend.services.tool_configuration_service import init_tool_list_for_tenant\n\n        result = await init_tool_list_for_tenant(\"new_tenant_id\", \"user_id_123\")\n\n        # Verify that initialization was successful\n        assert result[\"status\"] == \"success\"\n        assert result[\"message\"] == \"Tool list initialized successfully\"\n        mock_check_initialized.assert_called_once_with(\"new_tenant_id\")\n        mock_update_tool_list.assert_called_once_with(tenant_id=\"new_tenant_id\", user_id=\"user_id_123\")\n\n    @pytest.mark.asyncio\n    @patch('backend.services.tool_configuration_service.check_tool_list_initialized')\n    async def test_init_tool_list_for_tenant_already_initialized(self, mock_check_initialized):\n        \"\"\"Test that initialization is skipped for already initialized tenant\"\"\"\n        # Mock that tools are already initialized for this tenant\n        mock_check_initialized.return_value = True\n\n        from backend.services.tool_configuration_service import init_tool_list_for_tenant\n\n        result = await init_tool_list_for_tenant(\"existing_tenant_id\", \"user_id_456\")\n\n        # Verify that initialization was skipped\n        assert result[\"status\"] == \"already_initialized\"\n        assert result[\"message\"] == \"Tool list already exists\"\n        mock_check_initialized.assert_called_once_with(\"existing_tenant_id\")\n\n    @pytest.mark.asyncio\n    @patch('backend.services.tool_configuration_service.check_tool_list_initialized')\n    @patch('backend.services.tool_configuration_service.update_tool_list', new_callable=AsyncMock)\n    @patch('backend.services.tool_configuration_service.logger')\n    async def test_init_tool_list_for_tenant_logging(self, mock_logger, mock_update_tool_list, mock_check_initialized):\n        \"\"\"Test that init_tool_list_for_tenant logs appropriately\"\"\"\n        mock_check_initialized.return_value = False\n\n        from backend.services.tool_configuration_service import init_tool_list_for_tenant\n\n        await init_tool_list_for_tenant(\"tenant_xyz\", \"user_abc\")\n\n        # Verify that info log was called for new tenant\n        mock_logger.info.assert_any_call(f\"Initializing tool list for new tenant: tenant_xyz\")\n\n\nclass TestUpdateToolList:\n    \"\"\"Test cases for update_tool_list function\"\"\"\n\n    @pytest.mark.asyncio\n    @patch('backend.services.tool_configuration_service.get_local_tools')\n    @patch('backend.services.tool_configuration_service.get_langchain_tools')\n    @patch('backend.services.tool_configuration_service.get_all_mcp_tools', new_callable=AsyncMock)\n    @patch('backend.services.tool_configuration_service.update_tool_table_from_scan_tool_list')\n    async def test_update_tool_list_success(self, mock_update_table, mock_get_mcp, mock_get_langchain, mock_get_local):\n        \"\"\"Test successful tool list update\"\"\"\n        # Mock tools\n        mock_local_tools = [MagicMock(), MagicMock()]\n        mock_langchain_tools = [MagicMock()]\n        mock_mcp_tools = [MagicMock(), MagicMock(), MagicMock()]\n\n        mock_get_local.return_value = mock_local_tools\n        mock_get_langchain.return_value = mock_langchain_tools\n        mock_get_mcp.return_value = mock_mcp_tools\n\n        from backend.services.tool_configuration_service import update_tool_list\n\n        await update_tool_list(\"tenant123\", \"user456\")\n\n        # Verify all tools were gathered and update was called\n        mock_get_local.assert_called_once()\n        mock_get_langchain.assert_called_once()\n        mock_get_mcp.assert_called_once_with(\"tenant123\")\n\n    @pytest.mark.asyncio\n    @patch('backend.services.tool_configuration_service.get_local_tools')\n    @patch('backend.services.tool_configuration_service.get_langchain_tools')\n    @patch('backend.services.tool_configuration_service.get_all_mcp_tools', new_callable=AsyncMock)\n    @patch('backend.services.tool_configuration_service.update_tool_table_from_scan_tool_list')\n    async def test_update_tool_list_combines_all_sources(self, mock_update_table, mock_get_mcp, mock_get_langchain, mock_get_local):\n        \"\"\"Test that update_tool_list combines tools from all sources\"\"\"\n        mock_local_tools = [MagicMock(name=\"local_tool_1\")]\n        mock_langchain_tools = [MagicMock(name=\"langchain_tool_1\")]\n        mock_mcp_tools = [MagicMock(name=\"mcp_tool_1\")]\n\n        mock_get_local.return_value = mock_local_tools\n        mock_get_langchain.return_value = mock_langchain_tools\n        mock_get_mcp.return_value = mock_mcp_tools\n\n        from backend.services.tool_configuration_service import update_tool_list\n\n        await update_tool_list(\"tenant123\", \"user456\")\n\n        # Get the tool_list argument passed to update_tool_table_from_scan_tool_list\n        call_args = mock_update_table.call_args\n        combined_tool_list = call_args.kwargs[\"tool_list\"]\n\n        # Verify that combined list contains tools from all sources\n        assert len(combined_tool_list) == 3\n\n\nif __name__ == '__main__':\n    unittest.main()\n"
  },
  {
    "path": "test/backend/services/test_user_management_service.py",
    "content": "import unittest\nfrom unittest.mock import patch, MagicMock, AsyncMock, PropertyMock\nimport sys\nimport os\nimport aiohttp\n\n# Patch environment variables before any imports that might use them\n# Environment variables are now configured in conftest.py\n\n# Align with the standard pattern used in test_conversation_management_service.py\n# Mock external SDKs and patch MinioClient before importing the SUT\nsys.modules['boto3'] = MagicMock()\nsys.modules['supabase'] = MagicMock()\nsys.modules['psycopg2'] = MagicMock()\n\n# Minimal stub to satisfy 'from nexent.memory.memory_service import clear_memory'\nsys.modules['nexent'] = MagicMock()\nsys.modules['nexent.memory'] = MagicMock()\nnexent_memory_service = MagicMock()\nsys.modules['nexent.memory.memory_service'] = nexent_memory_service\nsys.modules['nexent.storage.storage_client_factory'] = MagicMock()\n\n# Mock services\nsys.modules['services'] = MagicMock()\nsys.modules['services.invitation_service'] = MagicMock()\nsys.modules['services.group_service'] = MagicMock()\nsys.modules['services.tool_configuration_service'] = MagicMock()\n\nfrom consts.exceptions import NoInviteCodeException, IncorrectInviteCodeException, UserRegistrationException, UnauthorizedError\n\n# Patch storage factory and MinIO config validation to avoid errors during initialization\n# These patches must be started before any imports that use MinioClient\nstorage_client_mock = MagicMock()\nminio_client_mock = MagicMock()\npatch('nexent.storage.storage_client_factory.create_storage_client_from_config', return_value=storage_client_mock).start()\npatch('nexent.storage.minio_config.MinIOStorageConfig.validate', lambda self: None).start()\npatch('backend.database.client.MinioClient', return_value=minio_client_mock).start()\n\nwith patch('backend.database.client.MinioClient', return_value=minio_client_mock):\n    from backend.services.user_management_service import (\n        set_auth_token_to_client,\n        get_authorized_client,\n        get_current_user_from_client,\n        validate_token,\n        extend_session,\n        check_auth_service_health,\n        signup_user_with_invitation,\n        parse_supabase_response,\n        generate_tts_stt_4_admin,\n        verify_invite_code,\n        signin_user,\n        refresh_user_token,\n        get_session_by_authorization,\n        get_user_info,\n        format_role_permissions\n    )\n\n\nclass TestSetAuthTokenToClient(unittest.TestCase):\n    \"\"\"Test set_auth_token_to_client\"\"\"\n\n    def test_set_token_with_bearer_prefix(self):\n        \"\"\"Test setting token with Bearer prefix\"\"\"\n        mock_client = MagicMock()\n        token = \"Bearer test-jwt-token\"\n\n        set_auth_token_to_client(mock_client, token)\n\n        self.assertEqual(mock_client.auth.access_token, \"test-jwt-token\")\n\n    def test_set_token_without_bearer_prefix(self):\n        \"\"\"Test setting token without Bearer prefix\"\"\"\n        mock_client = MagicMock()\n        token = \"test-jwt-token\"\n\n        set_auth_token_to_client(mock_client, token)\n\n        self.assertEqual(mock_client.auth.access_token, \"test-jwt-token\")\n\n    def test_set_token_exception(self):\n        \"\"\"Test exception handling when setting token\"\"\"\n        mock_client = MagicMock()\n        # Mock the auth attribute to raise an exception when access_token is set\n        type(mock_client.auth).access_token = PropertyMock(side_effect=Exception(\"Auth error\"))\n        token = \"test-jwt-token\"\n\n        # This should not raise an exception, but should log the error\n        set_auth_token_to_client(mock_client, token)\n\n\nclass TestGetAuthorizedClient(unittest.TestCase):\n    \"\"\"Test get_authorized_client\"\"\"\n\n    @patch('backend.services.user_management_service.get_supabase_client')\n    @patch('backend.services.user_management_service.set_auth_token_to_client')\n    def test_get_client_with_authorization(self, mock_set_token, mock_get_client):\n        \"\"\"Test getting client with authorization header\"\"\"\n        mock_client = MagicMock()\n        mock_get_client.return_value = mock_client\n\n        result = get_authorized_client(\"Bearer test-token\")\n\n        self.assertEqual(result, mock_client)\n        mock_set_token.assert_called_once_with(mock_client, \"test-token\")\n\n    @patch('backend.services.user_management_service.get_supabase_client')\n    @patch('backend.services.user_management_service.set_auth_token_to_client')\n    def test_get_client_without_authorization(self, mock_set_token, mock_get_client):\n        \"\"\"Test getting client without authorization header\"\"\"\n        mock_client = MagicMock()\n        mock_get_client.return_value = mock_client\n\n        result = get_authorized_client(None)\n\n        self.assertEqual(result, mock_client)\n        mock_set_token.assert_not_called()\n\n\nclass TestGetCurrentUserFromClient(unittest.TestCase):\n    \"\"\"Test get_current_user_from_client\"\"\"\n\n    def test_get_user_success(self):\n        \"\"\"Test successful user retrieval\"\"\"\n        mock_client = MagicMock()\n        mock_user = MagicMock()\n        mock_response = MagicMock()\n        mock_response.user = mock_user\n        mock_client.auth.get_user.return_value = mock_response\n\n        result = get_current_user_from_client(mock_client)\n\n        self.assertEqual(result, mock_user)\n\n    def test_get_user_no_user(self):\n        \"\"\"Test when no user is returned\"\"\"\n        mock_client = MagicMock()\n        mock_response = MagicMock()\n        mock_response.user = None\n        mock_client.auth.get_user.return_value = mock_response\n\n        result = get_current_user_from_client(mock_client)\n\n        self.assertIsNone(result)\n\n    def test_get_user_no_response(self):\n        \"\"\"Test when no response is returned\"\"\"\n        mock_client = MagicMock()\n        mock_client.auth.get_user.return_value = None\n\n        result = get_current_user_from_client(mock_client)\n\n        self.assertIsNone(result)\n\n    def test_get_user_exception(self):\n        \"\"\"Test exception handling\"\"\"\n        mock_client = MagicMock()\n        mock_client.auth.get_user.side_effect = Exception(\"Get user error\")\n\n        result = get_current_user_from_client(mock_client)\n\n        self.assertIsNone(result)\n\n\nclass TestValidateToken(unittest.TestCase):\n    \"\"\"Test validate_token\"\"\"\n\n    @patch('backend.services.user_management_service.get_current_user_from_client')\n    @patch('backend.services.user_management_service.set_auth_token_to_client')\n    @patch('backend.services.user_management_service.get_supabase_client')\n    def test_validate_token_success(self, mock_get_client, mock_set_token, mock_get_user):\n        \"\"\"Test successful token validation\"\"\"\n        mock_client = MagicMock()\n        mock_user = MagicMock()\n        mock_get_client.return_value = mock_client\n        mock_get_user.return_value = mock_user\n\n        is_valid, user = validate_token(\"test-token\")\n\n        self.assertTrue(is_valid)\n        self.assertEqual(user, mock_user)\n        mock_set_token.assert_called_once_with(mock_client, \"test-token\")\n\n    @patch('backend.services.user_management_service.get_current_user_from_client')\n    @patch('backend.services.user_management_service.set_auth_token_to_client')\n    @patch('backend.services.user_management_service.get_supabase_client')\n    def test_validate_token_no_user(self, mock_get_client, mock_set_token, mock_get_user):\n        \"\"\"Test token validation with no user\"\"\"\n        mock_client = MagicMock()\n        mock_get_client.return_value = mock_client\n        mock_get_user.return_value = None\n\n        is_valid, user = validate_token(\"test-token\")\n\n        self.assertFalse(is_valid)\n        self.assertIsNone(user)\n\n    @patch('backend.services.user_management_service.get_current_user_from_client')\n    @patch('backend.services.user_management_service.set_auth_token_to_client')\n    @patch('backend.services.user_management_service.get_supabase_client')\n    def test_validate_token_exception(self, mock_get_client, mock_set_token, mock_get_user):\n        \"\"\"Test token validation exception\"\"\"\n        mock_client = MagicMock()\n        mock_get_client.return_value = mock_client\n        mock_get_user.side_effect = Exception(\"Validation error\")\n\n        is_valid, user = validate_token(\"test-token\")\n\n        self.assertFalse(is_valid)\n        self.assertIsNone(user)\n\n\nclass TestExtendSession(unittest.IsolatedAsyncioTestCase):\n    \"\"\"Test extend_session\"\"\"\n\n    @patch('backend.services.user_management_service.get_jwt_expiry_seconds')\n    @patch('backend.services.user_management_service.calculate_expires_at')\n    def test_extend_session_success(self, mock_calc_expires, mock_get_expiry):\n        \"\"\"Test successful session extension\"\"\"\n        mock_client = MagicMock()\n        mock_session = MagicMock()\n        mock_session.access_token = \"new-access-token\"\n        mock_session.refresh_token = \"new-refresh-token\"\n        mock_response = MagicMock()\n        mock_response.session = mock_session\n        mock_client.auth.refresh_session.return_value = mock_response\n        mock_calc_expires.return_value = \"2024-01-01T00:00:00Z\"\n        mock_get_expiry.return_value = 3600\n\n        result = extend_session(mock_client, \"refresh-token\")\n\n        expected = {\n            \"access_token\": \"new-access-token\",\n            \"refresh_token\": \"new-refresh-token\",\n            \"expires_at\": \"2024-01-01T00:00:00Z\",\n            \"expires_in_seconds\": 3600\n        }\n        self.assertEqual(result, expected)\n\n    def test_extend_session_no_session(self):\n        \"\"\"Test session extension with no session returned\"\"\"\n        mock_client = MagicMock()\n        mock_response = MagicMock()\n        mock_response.session = None\n        mock_client.auth.refresh_session.return_value = mock_response\n\n        result = extend_session(mock_client, \"refresh-token\")\n\n        self.assertIsNone(result)\n\n    def test_extend_session_no_response(self):\n        \"\"\"Test session extension with no response\"\"\"\n        mock_client = MagicMock()\n        mock_client.auth.refresh_session.return_value = None\n\n        result = extend_session(mock_client, \"refresh-token\")\n\n        self.assertIsNone(result)\n\n    def test_extend_session_exception(self):\n        \"\"\"Test session extension exception\"\"\"\n        mock_client = MagicMock()\n        mock_client.auth.refresh_session.side_effect = Exception(\"Refresh error\")\n\n        result = extend_session(mock_client, \"refresh-token\")\n\n        self.assertIsNone(result)\n\n\nclass TestCheckAuthServiceHealth(unittest.IsolatedAsyncioTestCase):\n    \"\"\"Test check_auth_service_health\"\"\"\n\n    @patch.dict(os.environ, {'SUPABASE_URL': 'http://test.supabase.co', 'SUPABASE_KEY': 'test-key'})\n    async def test_health_check_success(self):\n        \"\"\"Test successful health check\"\"\"\n        # Create a proper async context manager mock\n        class MockResponse:\n            def __init__(self):\n                self.ok = True\n\n            async def json(self):\n                return {\"name\": \"GoTrue\"}\n\n        class MockGet:\n            def __init__(self):\n                self.response = MockResponse()\n\n            async def __aenter__(self):\n                return self.response\n\n            async def __aexit__(self, exc_type, exc_val, exc_tb):\n                return None\n\n        class MockSession:\n            def get(self, *args, **kwargs):\n                return MockGet()\n\n        class MockClientSession:\n            async def __aenter__(self):\n                return MockSession()\n\n            async def __aexit__(self, exc_type, exc_val, exc_tb):\n                return None\n\n        # Patch the ClientSession\n        with patch('backend.services.user_management_service.aiohttp.ClientSession', MockClientSession):\n            # Function should not raise exception and should not return anything\n            result = await check_auth_service_health()\n            self.assertIsNone(result)\n\n    @patch.dict(os.environ, {'SUPABASE_URL': 'http://test.supabase.co', 'SUPABASE_KEY': 'test-key'})\n    async def test_health_check_not_ok_response(self):\n        \"\"\"Test health check with non-OK response (covers line 97)\"\"\"\n        # Create a proper async context manager mock\n        class MockResponse:\n            def __init__(self):\n                self.ok = False\n\n        class MockGet:\n            def __init__(self):\n                self.response = MockResponse()\n\n            async def __aenter__(self):\n                return self.response\n\n            async def __aexit__(self, exc_type, exc_val, exc_tb):\n                return None\n\n        class MockSession:\n            def get(self, *args, **kwargs):\n                return MockGet()\n\n        class MockClientSession:\n            async def __aenter__(self):\n                return MockSession()\n\n            async def __aexit__(self, exc_type, exc_val, exc_tb):\n                return None\n\n        # Patch the ClientSession\n        with patch('backend.services.user_management_service.aiohttp.ClientSession', MockClientSession):\n            # Function should raise ConnectionError for non-OK response\n            with self.assertRaises(ConnectionError) as context:\n                await check_auth_service_health()\n\n            self.assertIn(\"Auth service is unavailable\", str(context.exception))\n\n    @patch.dict(os.environ, {'SUPABASE_URL': 'http://test.supabase.co', 'SUPABASE_KEY': 'test-key'})\n    async def test_health_check_wrong_service_name(self):\n        \"\"\"Test health check with wrong service name (covers line 103)\"\"\"\n        # Create a proper async context manager mock\n        class MockResponse:\n            def __init__(self):\n                self.ok = True\n\n            async def json(self):\n                return {\"name\": \"WrongService\"}\n\n        class MockGet:\n            def __init__(self):\n                self.response = MockResponse()\n\n            async def __aenter__(self):\n                return self.response\n\n            async def __aexit__(self, exc_type, exc_val, exc_tb):\n                return None\n\n        class MockSession:\n            def get(self, *args, **kwargs):\n                return MockGet()\n\n        class MockClientSession:\n            async def __aenter__(self):\n                return MockSession()\n\n            async def __aexit__(self, exc_type, exc_val, exc_tb):\n                return None\n\n        # Patch the ClientSession\n        with patch('backend.services.user_management_service.aiohttp.ClientSession', MockClientSession):\n            # Function should raise ConnectionError for wrong service name\n            with self.assertRaises(ConnectionError) as context:\n                await check_auth_service_health()\n\n            self.assertIn(\"Auth service is unavailable\", str(context.exception))\n\n    @patch.dict(os.environ, {'SUPABASE_URL': 'http://test.supabase.co', 'SUPABASE_KEY': 'test-key'})\n    async def test_health_check_empty_response(self):\n        \"\"\"Test health check with empty response data (covers line 103)\"\"\"\n        # Create a proper async context manager mock\n        class MockResponse:\n            def __init__(self):\n                self.ok = True\n\n            async def json(self):\n                return None  # Empty response\n\n        class MockGet:\n            def __init__(self):\n                self.response = MockResponse()\n\n            async def __aenter__(self):\n                return self.response\n\n            async def __aexit__(self, exc_type, exc_val, exc_tb):\n                return None\n\n        class MockSession:\n            def get(self, *args, **kwargs):\n                return MockGet()\n\n        class MockClientSession:\n            async def __aenter__(self):\n                return MockSession()\n\n            async def __aexit__(self, exc_type, exc_val, exc_tb):\n                return None\n\n        # Patch the ClientSession\n        with patch('backend.services.user_management_service.aiohttp.ClientSession', MockClientSession):\n            # Function should raise ConnectionError for empty response\n            with self.assertRaises(ConnectionError) as context:\n                await check_auth_service_health()\n\n            self.assertIn(\"Auth service is unavailable\", str(context.exception))\n\n    @patch.dict(os.environ, {'SUPABASE_URL': 'http://test.supabase.co', 'SUPABASE_KEY': 'test-key'})\n    async def test_health_check_missing_name_field(self):\n        \"\"\"Test health check with response missing name field (covers line 103)\"\"\"\n        # Create a proper async context manager mock\n        class MockResponse:\n            def __init__(self):\n                self.ok = True\n\n            async def json(self):\n                return {\"status\": \"ok\"}  # Missing \"name\" field\n\n        class MockGet:\n            def __init__(self):\n                self.response = MockResponse()\n\n            async def __aenter__(self):\n                return self.response\n\n            async def __aexit__(self, exc_type, exc_val, exc_tb):\n                return None\n\n        class MockSession:\n            def get(self, *args, **kwargs):\n                return MockGet()\n\n        class MockClientSession:\n            async def __aenter__(self):\n                return MockSession()\n\n            async def __aexit__(self, exc_type, exc_val, exc_tb):\n                return None\n\n        # Patch the ClientSession\n        with patch('backend.services.user_management_service.aiohttp.ClientSession', MockClientSession):\n            # Function should raise ConnectionError for missing name field\n            with self.assertRaises(ConnectionError) as context:\n                await check_auth_service_health()\n\n            self.assertIn(\"Auth service is unavailable\", str(context.exception))\n\n    @patch.dict(os.environ, {'SUPABASE_URL': 'http://test.supabase.co', 'SUPABASE_KEY': 'test-key'})\n    @patch('backend.services.user_management_service.aiohttp.ClientSession')\n    async def test_health_check_connection_error(self, mock_session_cls):\n        \"\"\"Test health check with connection error\"\"\"\n        mock_session_cls.side_effect = aiohttp.ClientError(\"Connection failed\")\n\n        # Function should raise the original exception\n        with self.assertRaises(aiohttp.ClientError) as context:\n            await check_auth_service_health()\n\n        self.assertIn(\"Connection failed\", str(context.exception))\n\n    @patch.dict(os.environ, {'SUPABASE_URL': 'http://test.supabase.co', 'SUPABASE_KEY': 'test-key'})\n    @patch('backend.services.user_management_service.aiohttp.ClientSession')\n    async def test_health_check_general_exception(self, mock_session_cls):\n        \"\"\"Test health check with general exception\"\"\"\n        mock_session_cls.side_effect = Exception(\n            \"General Function should raise the error\")\n\n        # original exception is raised as-is\n        with self.assertRaises(Exception) as context:\n            await check_auth_service_health()\n\n        self.assertIn(\"General Function should raise the error\",\n                      str(context.exception))\n\n    @patch.dict(os.environ, {'SUPABASE_URL': 'http://test.supabase.co', 'SUPABASE_KEY': 'test-key'})\n    async def test_health_check_empty_data_dict(self):\n        \"\"\"Test health check with empty data dictionary (covers line 103)\"\"\"\n        # Create a proper async context manager mock\n        class MockResponse:\n            def __init__(self):\n                self.ok = True\n\n            async def json(self):\n                return {}  # Empty dictionary - data exists but no \"name\" field\n\n        class MockGet:\n            def __init__(self):\n                self.response = MockResponse()\n\n            async def __aenter__(self):\n                return self.response\n\n            async def __aexit__(self, exc_type, exc_val, exc_tb):\n                return None\n\n        class MockSession:\n            def get(self, *args, **kwargs):\n                return MockGet()\n\n        class MockClientSession:\n            async def __aenter__(self):\n                return MockSession()\n\n            async def __aexit__(self, exc_type, exc_val, exc_tb):\n                return None\n\n        # Patch the ClientSession\n        with patch('backend.services.user_management_service.aiohttp.ClientSession', MockClientSession):\n            # Function should raise ConnectionError for empty data dictionary\n            with self.assertRaises(ConnectionError) as context:\n                await check_auth_service_health()\n\n            self.assertIn(\"Auth service is unavailable\", str(context.exception))\n\n\nclass TestSignupUserWithInvitation(unittest.IsolatedAsyncioTestCase):\n    \"\"\"Test signup_user_with_invitation\"\"\"\n\n    @patch('backend.services.user_management_service.add_user_to_groups')\n    @patch('backend.services.user_management_service.parse_supabase_response')\n    @patch('backend.services.user_management_service.generate_tts_stt_4_admin')\n    @patch('backend.services.user_management_service.insert_user_tenant')\n    @patch('backend.services.user_management_service.get_invitation_by_code')\n    @patch('backend.services.user_management_service.check_invitation_available')\n    @patch('backend.services.user_management_service.use_invitation_code')\n    @patch('backend.services.user_management_service.get_supabase_client')\n    async def test_signup_user_with_admin_invite_code(self, mock_get_client, mock_use_invite,\n                                                     mock_check_available, mock_get_invite_code,\n                                                     mock_insert_tenant, mock_generate_tts, mock_parse_response, mock_add_groups):\n        \"\"\"Test user signup with ADMIN_INVITE code\"\"\"\n        # Setup mocks\n        mock_client = MagicMock()\n        mock_user = MagicMock()\n        mock_user.id = \"user-123\"\n        mock_response = MagicMock()\n        mock_response.user = mock_user\n        mock_client.auth.sign_up.return_value = mock_response\n        mock_get_client.return_value = mock_client\n\n        # Mock invitation code validation\n        mock_check_available.return_value = True\n        mock_get_invite_code.return_value = {\n            \"invitation_id\": 1,\n            \"code_type\": \"ADMIN_INVITE\",\n            \"group_ids\": \"1,2,3\",\n            \"tenant_id\": \"tenant_id\"\n        }\n        mock_use_invite.return_value = {\n            \"invitation_id\": 1,\n            \"code_type\": \"ADMIN_INVITE\",\n            \"group_ids\": \"1,2,3\"\n        }\n        mock_parse_response.return_value = {\"user\": \"admin_data\"}\n        mock_add_groups.return_value = [\n            {\"group_id\": 1, \"user_id\": \"user-123\", \"already_member\": False},\n            {\"group_id\": 2, \"user_id\": \"user-123\", \"already_member\": False},\n            {\"group_id\": 3, \"user_id\": \"user-123\", \"already_member\": False}\n        ]\n\n        # Mock init_tool_list_for_tenant as async function\n        with patch('backend.services.user_management_service.init_tool_list_for_tenant', new_callable=AsyncMock) as mock_init_tools:\n            result = await signup_user_with_invitation(\"admin@example.com\", \"password123\", invite_code=\"ADMIN123\")\n\n            # Verify generate_tts_stt_4_admin was called for admin user\n            mock_generate_tts.assert_called_once_with(\"tenant_id\", \"user-123\")\n\n            self.assertEqual(result, {\"user\": \"admin_data\"})\n            mock_insert_tenant.assert_called_once_with(user_id=\"user-123\", tenant_id=\"tenant_id\", user_role=\"ADMIN\", user_email=\"admin@example.com\")\n            mock_use_invite.assert_called_once_with(\"ADMIN123\", \"user-123\")\n            mock_add_groups.assert_called_once_with(\"user-123\", [1, 2, 3], \"user-123\")\n            mock_parse_response.assert_called_once_with(False, mock_response, \"ADMIN\", True)\n            # Verify init_tool_list_for_tenant was called\n            mock_init_tools.assert_called_once_with(\"tenant_id\", \"user-123\")\n\n    @patch('backend.services.user_management_service.add_user_to_groups')\n    @patch('backend.services.user_management_service.parse_supabase_response')\n    @patch('backend.services.user_management_service.insert_user_tenant')\n    @patch('backend.services.user_management_service.get_invitation_by_code')\n    @patch('backend.services.user_management_service.check_invitation_available')\n    @patch('backend.services.user_management_service.use_invitation_code')\n    @patch('backend.services.user_management_service.get_supabase_client')\n    async def test_signup_user_with_dev_invite_code(self, mock_get_client, mock_use_invite,\n                                                   mock_check_available, mock_get_invite_code,\n                                                   mock_insert_tenant, mock_parse_response, mock_add_groups):\n        \"\"\"Test user signup with DEV_INVITE code\"\"\"\n        # Setup mocks\n        mock_client = MagicMock()\n        mock_user = MagicMock()\n        mock_user.id = \"user-456\"\n        mock_response = MagicMock()\n        mock_response.user = mock_user\n        mock_client.auth.sign_up.return_value = mock_response\n        mock_get_client.return_value = mock_client\n\n        # Mock invitation code validation\n        mock_check_available.return_value = True\n        mock_get_invite_code.return_value = {\n            \"invitation_id\": 2,\n            \"code_type\": \"DEV_INVITE\",\n            \"group_ids\": \"4,5\",\n            \"tenant_id\": \"tenant_id\"\n        }\n        mock_use_invite.return_value = {\n            \"invitation_id\": 2,\n            \"code_type\": \"DEV_INVITE\",\n            \"group_ids\": \"4,5\"\n        }\n        mock_parse_response.return_value = {\"user\": \"dev_data\"}\n        mock_add_groups.return_value = [\n            {\"group_id\": 4, \"user_id\": \"user-456\", \"already_member\": False},\n            {\"group_id\": 5, \"user_id\": \"user-456\", \"already_member\": False}\n        ]\n\n        # Mock init_tool_list_for_tenant as async function\n        with patch('backend.services.user_management_service.init_tool_list_for_tenant', new_callable=AsyncMock) as mock_init_tools:\n            result = await signup_user_with_invitation(\"dev@example.com\", \"password123\", invite_code=\"DEV456\")\n\n            self.assertEqual(result, {\"user\": \"dev_data\"})\n            mock_insert_tenant.assert_called_once_with(user_id=\"user-456\", tenant_id=\"tenant_id\", user_role=\"DEV\", user_email=\"dev@example.com\")\n            mock_use_invite.assert_called_once_with(\"DEV456\", \"user-456\")\n            mock_add_groups.assert_called_once_with(\"user-456\", [4, 5], \"user-456\")\n            mock_parse_response.assert_called_once_with(False, mock_response, \"DEV\", True)\n            # Verify init_tool_list_for_tenant was called\n            mock_init_tools.assert_called_once_with(\"tenant_id\", \"user-456\")\n\n    @patch('backend.services.user_management_service.get_invitation_by_code')\n    @patch('backend.services.user_management_service.check_invitation_available')\n    @patch('backend.services.user_management_service.get_supabase_client')\n    async def test_signup_user_with_invalid_invite_code(self, mock_get_client, mock_check_available, mock_get_invite_code):\n        \"\"\"Test user signup with invalid invitation code\"\"\"\n        # Mock invitation code validation to fail\n        mock_check_available.return_value = False\n\n        with self.assertRaises(IncorrectInviteCodeException) as context:\n            await signup_user_with_invitation(\"test@example.com\", \"password123\", \"INVALID\")\n\n        self.assertIn(\"is not available\", str(context.exception))\n\n    @patch('backend.services.user_management_service.get_invitation_by_code')\n    @patch('backend.services.user_management_service.check_invitation_available')\n    async def test_signup_user_with_invite_code_uppercase_conversion(self, mock_check_available, mock_get_invite_code):\n        \"\"\"Test invitation code is converted to uppercase (line 183)\"\"\"\n        # Mock invitation code validation\n        mock_check_available.return_value = True\n        mock_get_invite_code.return_value = {\n            \"invitation_id\": 1,\n            \"code_type\": \"USER_INVITE\",\n            \"group_ids\": [],\n            \"tenant_id\": \"tenant_id\"\n        }\n\n        with patch('backend.services.user_management_service.get_supabase_client') as mock_get_client, \\\n             patch('backend.services.user_management_service.insert_user_tenant'), \\\n             patch('backend.services.user_management_service.parse_supabase_response') as mock_parse, \\\n             patch('backend.services.user_management_service.use_invitation_code'), \\\n             patch('backend.services.user_management_service.init_tool_list_for_tenant', new_callable=AsyncMock) as mock_init_tools:\n\n            mock_user = MagicMock()\n            mock_user.id = \"user-123\"\n            mock_response = MagicMock()\n            mock_response.user = mock_user\n            mock_client = MagicMock()\n            mock_client.auth.sign_up.return_value = mock_response\n            mock_get_client.return_value = mock_client\n            mock_parse.return_value = {\"user\": \"data\"}\n\n            # Use lowercase invite code\n            result = await signup_user_with_invitation(\"test@example.com\", \"password123\", invite_code=\"lowercase\")\n\n            # Verify the code was converted to uppercase in the check\n            mock_check_available.assert_called_with(\"LOWERCASE\")\n            mock_get_invite_code.assert_called_with(\"LOWERCASE\")\n            # Verify init_tool_list_for_tenant was called\n            mock_init_tools.assert_called_once_with(\"tenant_id\", \"user-123\")\n\n    @patch('backend.services.user_management_service.get_invitation_by_code')\n    @patch('backend.services.user_management_service.check_invitation_available')\n    async def test_signup_user_with_invite_code_not_found_after_check(self, mock_check_available, mock_get_invite_code):\n        \"\"\"Test when invitation code passes availability check but get_invitation_by_code returns None (lines 191-194)\"\"\"\n        # Mock invitation code availability check passes but get_invitation_by_code returns None\n        mock_check_available.return_value = True\n        mock_get_invite_code.return_value = None\n\n        with self.assertRaises(IncorrectInviteCodeException) as context:\n            await signup_user_with_invitation(\"test@example.com\", \"password123\", invite_code=\"NONEXISTENT\")\n\n        self.assertIn(\"not found\", str(context.exception))\n\n    @patch('backend.services.user_management_service.get_invitation_by_code')\n    @patch('backend.services.user_management_service.check_invitation_available')\n    async def test_signup_user_with_admin_invite_role_assignment(self, mock_check_available, mock_get_invite_code):\n        \"\"\"Test ADMIN role assignment from ADMIN_INVITE code type (lines 198-199)\"\"\"\n        # Mock invitation code validation\n        mock_check_available.return_value = True\n        mock_get_invite_code.return_value = {\n            \"invitation_id\": 1,\n            \"code_type\": \"ADMIN_INVITE\",\n            \"group_ids\": [],\n            \"tenant_id\": \"tenant_id\"\n        }\n\n        with patch('backend.services.user_management_service.get_supabase_client') as mock_get_client, \\\n             patch('backend.services.user_management_service.insert_user_tenant') as mock_insert_tenant, \\\n             patch('backend.services.user_management_service.parse_supabase_response') as mock_parse, \\\n             patch('backend.services.user_management_service.use_invitation_code'), \\\n             patch('backend.services.user_management_service.generate_tts_stt_4_admin') as mock_generate_tts, \\\n             patch('backend.services.user_management_service.init_tool_list_for_tenant', new_callable=AsyncMock) as mock_init_tools:\n\n            mock_user = MagicMock()\n            mock_user.id = \"user-123\"\n            mock_response = MagicMock()\n            mock_response.user = mock_user\n            mock_client = MagicMock()\n            mock_client.auth.sign_up.return_value = mock_response\n            mock_get_client.return_value = mock_client\n            mock_parse.return_value = {\"user\": \"data\"}\n\n            result = await signup_user_with_invitation(\"admin@example.com\", \"password123\", invite_code=\"ADMIN123\")\n\n            # Verify ADMIN role was assigned and TTS/STT generation was called\n            mock_insert_tenant.assert_called_with(user_id=\"user-123\", tenant_id=\"tenant_id\", user_role=\"ADMIN\", user_email=\"admin@example.com\")\n            mock_generate_tts.assert_called_once_with(\"tenant_id\", \"user-123\")\n            mock_parse.assert_called_with(False, mock_response, \"ADMIN\", True)\n            # Verify init_tool_list_for_tenant was called\n            mock_init_tools.assert_called_once_with(\"tenant_id\", \"user-123\")\n\n    @patch('backend.services.user_management_service.get_invitation_by_code')\n    @patch('backend.services.user_management_service.check_invitation_available')\n    async def test_signup_user_with_dev_invite_role_assignment(self, mock_check_available, mock_get_invite_code):\n        \"\"\"Test DEV role assignment from DEV_INVITE code type (lines 200-201)\"\"\"\n        # Mock invitation code validation\n        mock_check_available.return_value = True\n        mock_get_invite_code.return_value = {\n            \"invitation_id\": 1,\n            \"code_type\": \"DEV_INVITE\",\n            \"group_ids\": [],\n            \"tenant_id\": \"tenant_id\"\n        }\n\n        with patch('backend.services.user_management_service.get_supabase_client') as mock_get_client, \\\n             patch('backend.services.user_management_service.insert_user_tenant') as mock_insert_tenant, \\\n             patch('backend.services.user_management_service.parse_supabase_response') as mock_parse, \\\n             patch('backend.services.user_management_service.use_invitation_code'), \\\n             patch('backend.services.user_management_service.init_tool_list_for_tenant', new_callable=AsyncMock) as mock_init_tools:\n\n            mock_user = MagicMock()\n            mock_user.id = \"user-123\"\n            mock_response = MagicMock()\n            mock_response.user = mock_user\n            mock_client = MagicMock()\n            mock_client.auth.sign_up.return_value = mock_response\n            mock_get_client.return_value = mock_client\n            mock_parse.return_value = {\"user\": \"data\"}\n\n            result = await signup_user_with_invitation(\"dev@example.com\", \"password123\", invite_code=\"DEV123\")\n\n            # Verify DEV role was assigned and TTS/STT generation was NOT called\n            mock_insert_tenant.assert_called_with(user_id=\"user-123\", tenant_id=\"tenant_id\", user_role=\"DEV\", user_email=\"dev@example.com\")\n            mock_parse.assert_called_with(False, mock_response, \"DEV\", True)\n            # Verify init_tool_list_for_tenant was called\n            mock_init_tools.assert_called_once_with(\"tenant_id\", \"user-123\")\n\n    @patch('backend.services.user_management_service.check_invitation_available')\n    async def test_signup_user_with_invite_code_validation_exception_conversion(self, mock_check_available):\n        \"\"\"Test that other exceptions during invitation validation are converted to IncorrectInviteCodeException (line 208)\"\"\"\n        # Mock check_invitation_available to raise a generic exception\n        mock_check_available.side_effect = Exception(\"Database connection failed\")\n\n        with self.assertRaises(IncorrectInviteCodeException) as context:\n            await signup_user_with_invitation(\"test@example.com\", \"password123\", invite_code=\"TEST123\")\n\n        self.assertIn(\"Invalid invitation code: Database connection failed\", str(context.exception))\n\n    @patch('backend.services.user_management_service.add_user_to_groups')\n    @patch('backend.services.user_management_service.parse_supabase_response')\n    @patch('backend.services.user_management_service.generate_tts_stt_4_admin')\n    @patch('backend.services.user_management_service.insert_user_tenant')\n    @patch('backend.services.user_management_service.get_invitation_by_code')\n    @patch('backend.services.user_management_service.check_invitation_available')\n    @patch('backend.services.user_management_service.use_invitation_code')\n    @patch('backend.services.user_management_service.get_supabase_client')\n    async def test_signup_user_with_auto_login_false(self, mock_get_client, mock_use_invite,\n                                                     mock_check_available, mock_get_invite_code,\n                                                     mock_insert_tenant, mock_generate_tts, mock_parse_response, mock_add_groups):\n        \"\"\"Test user signup with auto_login=False (tenant admin creation scenario)\"\"\"\n        # Setup mocks\n        mock_client = MagicMock()\n        mock_user = MagicMock()\n        mock_user.id = \"user-123\"\n        mock_response = MagicMock()\n        mock_response.user = mock_user\n        mock_client.auth.sign_up.return_value = mock_response\n        mock_get_client.return_value = mock_client\n\n        # Mock invitation code validation\n        mock_check_available.return_value = True\n        mock_get_invite_code.return_value = {\n            \"invitation_id\": 1,\n            \"code_type\": \"ADMIN_INVITE\",\n            \"group_ids\": [],\n            \"tenant_id\": \"tenant_id\"\n        }\n        mock_use_invite.return_value = {\"invitation_id\": 1, \"code_type\": \"ADMIN_INVITE\", \"group_ids\": []}\n        mock_parse_response.return_value = {\"user\": \"admin_data\", \"session\": None}\n        mock_add_groups.return_value = []\n\n        # Call with auto_login=False\n        with patch('backend.services.user_management_service.init_tool_list_for_tenant', new_callable=AsyncMock) as mock_init_tools:\n            result = await signup_user_with_invitation(\n                \"admin@example.com\",\n                \"password123\",\n                invite_code=\"ADMIN123\",\n                auto_login=False\n            )\n\n            # Verify parse_supabase_response was called with auto_login=False\n            mock_parse_response.assert_called_once_with(False, mock_response, \"ADMIN\", False)\n            # Verify init_tool_list_for_tenant was called\n            mock_init_tools.assert_called_once_with(\"tenant_id\", \"user-123\")\n\n    @patch('backend.services.user_management_service.add_user_to_groups')\n    @patch('backend.services.user_management_service.parse_supabase_response')\n    @patch('backend.services.user_management_service.generate_tts_stt_4_admin')\n    @patch('backend.services.user_management_service.insert_user_tenant')\n    @patch('backend.services.user_management_service.get_invitation_by_code')\n    @patch('backend.services.user_management_service.check_invitation_available')\n    @patch('backend.services.user_management_service.use_invitation_code')\n    @patch('backend.services.user_management_service.get_supabase_client')\n    async def test_signup_user_with_auto_login_default(self, mock_get_client, mock_use_invite,\n                                                     mock_check_available, mock_get_invite_code,\n                                                     mock_insert_tenant, mock_generate_tts, mock_parse_response, mock_add_groups):\n        \"\"\"Test user signup with default auto_login (True)\"\"\"\n        # Setup mocks\n        mock_client = MagicMock()\n        mock_user = MagicMock()\n        mock_user.id = \"user-123\"\n        mock_response = MagicMock()\n        mock_response.user = mock_user\n        mock_client.auth.sign_up.return_value = mock_response\n        mock_get_client.return_value = mock_client\n\n        # Mock invitation code validation\n        mock_check_available.return_value = True\n        mock_get_invite_code.return_value = {\n            \"invitation_id\": 1,\n            \"code_type\": \"ADMIN_INVITE\",\n            \"group_ids\": [],\n            \"tenant_id\": \"tenant_id\"\n        }\n        mock_use_invite.return_value = {\"invitation_id\": 1, \"code_type\": \"ADMIN_INVITE\", \"group_ids\": []}\n        mock_parse_response.return_value = {\"user\": \"admin_data\", \"session\": \"session_data\"}\n        mock_add_groups.return_value = []\n\n        # Call without auto_login parameter (should default to True)\n        with patch('backend.services.user_management_service.init_tool_list_for_tenant', new_callable=AsyncMock) as mock_init_tools:\n            result = await signup_user_with_invitation(\n                \"admin@example.com\",\n                \"password123\",\n                invite_code=\"ADMIN123\"\n            )\n\n            # Verify parse_supabase_response was called with default auto_login=True\n            mock_parse_response.assert_called_once_with(False, mock_response, \"ADMIN\", True)\n\n\nclass TestParseSupabaseResponse(unittest.IsolatedAsyncioTestCase):\n    \"\"\"Test parse_supabase_response\"\"\"\n\n    @patch('backend.services.user_management_service.get_jwt_expiry_seconds')\n    @patch('backend.services.user_management_service.calculate_expires_at')\n    async def test_parse_response_with_session(self, mock_calc_expires, mock_get_expiry):\n        \"\"\"Test parsing response with session\"\"\"\n        mock_user = MagicMock()\n        mock_user.id = \"user-123\"\n        mock_user.email = \"test@example.com\"\n\n        mock_session = MagicMock()\n        mock_session.access_token = \"access-token\"\n        mock_session.refresh_token = \"refresh-token\"\n\n        mock_response = MagicMock()\n        mock_response.user = mock_user\n        mock_response.session = mock_session\n\n        mock_calc_expires.return_value = \"2024-01-01T00:00:00Z\"\n        mock_get_expiry.return_value = 3600\n\n        result = await parse_supabase_response(False, mock_response, \"user\")\n\n        expected = {\n            \"user\": {\n                \"id\": \"user-123\",\n                \"email\": \"test@example.com\",\n                \"role\": \"user\"\n            },\n            \"session\": {\n                \"access_token\": \"access-token\",\n                \"refresh_token\": \"refresh-token\",\n                \"expires_at\": \"2024-01-01T00:00:00Z\",\n                \"expires_in_seconds\": 3600\n            },\n            \"registration_type\": \"user\"\n        }\n        self.assertEqual(result, expected)\n\n    async def test_parse_response_without_session(self):\n        \"\"\"Test parsing response without session\"\"\"\n        mock_user = MagicMock()\n        mock_user.id = \"user-123\"\n        mock_user.email = \"test@example.com\"\n\n        mock_response = MagicMock()\n        mock_response.user = mock_user\n        mock_response.session = None\n\n        result = await parse_supabase_response(True, mock_response, \"admin\")\n\n        expected = {\n            \"user\": {\n                \"id\": \"user-123\",\n                \"email\": \"test@example.com\",\n                \"role\": \"admin\"\n            },\n            \"session\": None,\n            \"registration_type\": \"admin\"\n        }\n        self.assertEqual(result, expected)\n\n    @patch('backend.services.user_management_service.get_jwt_expiry_seconds')\n    @patch('backend.services.user_management_service.calculate_expires_at')\n    async def test_parse_response_with_session_but_auto_login_false(self, mock_calc_expires, mock_get_expiry):\n        \"\"\"Test parsing response with session but auto_login=False (tenant admin creation scenario)\"\"\"\n        mock_user = MagicMock()\n        mock_user.id = \"user-123\"\n        mock_user.email = \"admin@example.com\"\n\n        mock_session = MagicMock()\n        mock_session.access_token = \"access-token\"\n        mock_session.refresh_token = \"refresh-token\"\n\n        mock_response = MagicMock()\n        mock_response.user = mock_user\n        mock_response.session = mock_session\n\n        mock_calc_expires.return_value = \"2024-01-01T00:00:00Z\"\n        mock_get_expiry.return_value = 3600\n\n        # When auto_login=False, session should be None even if Supabase returns session\n        result = await parse_supabase_response(False, mock_response, \"ADMIN\", auto_login=False)\n\n        expected = {\n            \"user\": {\n                \"id\": \"user-123\",\n                \"email\": \"admin@example.com\",\n                \"role\": \"ADMIN\"\n            },\n            \"session\": None,  # Session should be suppressed when auto_login=False\n            \"registration_type\": \"user\"\n        }\n        self.assertEqual(result, expected)\n\n    @patch('backend.services.user_management_service.get_jwt_expiry_seconds')\n    @patch('backend.services.user_management_service.calculate_expires_at')\n    async def test_parse_response_with_session_and_auto_login_true(self, mock_calc_expires, mock_get_expiry):\n        \"\"\"Test parsing response with session and auto_login=True (normal signup scenario)\"\"\"\n        mock_user = MagicMock()\n        mock_user.id = \"user-123\"\n        mock_user.email = \"test@example.com\"\n\n        mock_session = MagicMock()\n        mock_session.access_token = \"access-token\"\n        mock_session.refresh_token = \"refresh-token\"\n\n        mock_response = MagicMock()\n        mock_response.user = mock_user\n        mock_response.session = mock_session\n\n        mock_calc_expires.return_value = \"2024-01-01T00:00:00Z\"\n        mock_get_expiry.return_value = 3600\n\n        # When auto_login=True, session should be included\n        result = await parse_supabase_response(False, mock_response, \"USER\", auto_login=True)\n\n        expected = {\n            \"user\": {\n                \"id\": \"user-123\",\n                \"email\": \"test@example.com\",\n                \"role\": \"USER\"\n            },\n            \"session\": {\n                \"access_token\": \"access-token\",\n                \"refresh_token\": \"refresh-token\",\n                \"expires_at\": \"2024-01-01T00:00:00Z\",\n                \"expires_in_seconds\": 3600\n            },\n            \"registration_type\": \"user\"\n        }\n        self.assertEqual(result, expected)\n\n    async def test_parse_response_default_auto_login_true(self):\n        \"\"\"Test that auto_login defaults to True when not specified\"\"\"\n        mock_user = MagicMock()\n        mock_user.id = \"user-123\"\n        mock_user.email = \"test@example.com\"\n\n        mock_response = MagicMock()\n        mock_response.user = mock_user\n        mock_response.session = None  # No session from Supabase\n\n        # Call without auto_login parameter (should default to True)\n        result = await parse_supabase_response(False, mock_response, \"user\")\n\n        # Session should be None because Supabase didn't return it\n        self.assertIsNone(result[\"session\"])\n\n\nclass TestGenerateTtsStt4Admin(unittest.IsolatedAsyncioTestCase):\n    \"\"\"Test generate_tts_stt_4_admin\"\"\"\n\n    @patch('backend.services.user_management_service.create_model_record')\n    async def test_generate_tts_stt_models(self, mock_create_record):\n        \"\"\"Test TTS and STT model generation for admin\"\"\"\n        await generate_tts_stt_4_admin(\"tenant-123\", \"user-123\")\n\n        # Should be called twice - once for TTS, once for STT\n        self.assertEqual(mock_create_record.call_count, 2)\n\n        # Check TTS model call\n        tts_call = mock_create_record.call_args_list[0]\n        tts_data = tts_call[0][0]\n        self.assertEqual(tts_data[\"model_name\"], \"volcano_tts\")\n        self.assertEqual(tts_data[\"model_type\"], \"tts\")\n\n        # Check STT model call\n        stt_call = mock_create_record.call_args_list[1]\n        stt_data = stt_call[0][0]\n        self.assertEqual(stt_data[\"model_name\"], \"volcano_stt\")\n        self.assertEqual(stt_data[\"model_type\"], \"stt\")\n\n\nclass TestVerifyInviteCode(unittest.IsolatedAsyncioTestCase):\n    \"\"\"Test verify_invite_code\"\"\"\n\n    @patch('backend.services.user_management_service.INVITE_CODE', 'correct-code')\n    async def test_verify_invite_code_success(self):\n        \"\"\"Test successful invite code verification\"\"\"\n        # Should not raise exception\n        await verify_invite_code('correct-code')\n\n    @patch('backend.services.user_management_service.INVITE_CODE', None)\n    async def test_verify_invite_code_no_system_code(self):\n        \"\"\"Test when system has no invite code configured\"\"\"\n        with self.assertRaises(NoInviteCodeException) as context:\n            await verify_invite_code('any-code')\n\n        self.assertIn(\"The system has not configured the admin invite code\", str(context.exception))\n\n    @patch('backend.services.user_management_service.INVITE_CODE', 'correct-code')\n    async def test_verify_invite_code_no_user_code(self):\n        \"\"\"Test when user provides no invite code\"\"\"\n        with self.assertRaises(IncorrectInviteCodeException) as context:\n            await verify_invite_code(None)\n\n        self.assertIn(\"Please enter the invite code\", str(context.exception))\n\n    @patch('backend.services.user_management_service.INVITE_CODE', 'correct-code')\n    async def test_verify_invite_code_wrong_code(self):\n        \"\"\"Test when user provides wrong invite code\"\"\"\n        with self.assertRaises(IncorrectInviteCodeException) as context:\n            await verify_invite_code('wrong-code')\n\n        self.assertIn(\"Please enter the correct admin invite code\", str(context.exception))\n\n\nclass TestSigninUser(unittest.IsolatedAsyncioTestCase):\n    \"\"\"Test signin_user\"\"\"\n\n    @patch('backend.services.user_management_service.get_jwt_expiry_seconds')\n    @patch('backend.services.user_management_service.calculate_expires_at')\n    @patch('backend.services.user_management_service.get_supabase_client')\n    async def test_signin_user_success(self, mock_get_client, mock_calc_expires, mock_get_expiry):\n        \"\"\"Test successful user signin\"\"\"\n        mock_client = MagicMock()\n        mock_user = MagicMock()\n        mock_user.id = \"user-123\"\n        mock_user.email = \"test@example.com\"\n        mock_user.user_metadata = {\"role\": \"admin\"}\n\n        mock_session = MagicMock()\n        mock_session.access_token = \"access-token\"\n        mock_session.refresh_token = \"refresh-token\"\n\n        mock_response = MagicMock()\n        mock_response.user = mock_user\n        mock_response.session = mock_session\n\n        mock_client.auth.sign_in_with_password.return_value = mock_response\n        mock_get_client.return_value = mock_client\n        mock_calc_expires.return_value = \"2024-01-01T00:00:00Z\"\n        mock_get_expiry.return_value = 3600\n\n        result = await signin_user(\"test@example.com\", \"password123\")\n\n        expected = {\n            \"message\": \"Login successful, session validity is 3600 seconds\",\n            \"data\": {\n                \"user\": {\n                    \"id\": \"user-123\",\n                    \"email\": \"test@example.com\",\n                    \"role\": \"admin\"\n                },\n                \"session\": {\n                    \"access_token\": \"access-token\",\n                    \"refresh_token\": \"refresh-token\",\n                    \"expires_at\": \"2024-01-01T00:00:00Z\",\n                    \"expires_in_seconds\": 3600\n                }\n            }\n        }\n        self.assertEqual(result, expected)\n\n    @patch('backend.services.user_management_service.get_jwt_expiry_seconds')\n    @patch('backend.services.user_management_service.calculate_expires_at')\n    @patch('backend.services.user_management_service.get_supabase_client')\n    async def test_signin_user_default_role(self, mock_get_client, mock_calc_expires, mock_get_expiry):\n        \"\"\"Test signin with default user role\"\"\"\n        mock_client = MagicMock()\n        mock_user = MagicMock()\n        mock_user.id = \"user-123\"\n        mock_user.email = \"test@example.com\"\n        mock_user.user_metadata = {}  # No role in metadata\n\n        mock_session = MagicMock()\n        mock_session.access_token = \"access-token\"\n        mock_session.refresh_token = \"refresh-token\"\n\n        mock_response = MagicMock()\n        mock_response.user = mock_user\n        mock_response.session = mock_session\n\n        mock_client.auth.sign_in_with_password.return_value = mock_response\n        mock_get_client.return_value = mock_client\n        mock_calc_expires.return_value = \"2024-01-01T00:00:00Z\"\n        mock_get_expiry.return_value = 3600\n\n        result = await signin_user(\"test@example.com\", \"password123\")\n\n        self.assertEqual(result[\"data\"][\"user\"][\"role\"], \"user\")\n\n\nclass TestRefreshUserToken(unittest.IsolatedAsyncioTestCase):\n    \"\"\"Test refresh_user_token\"\"\"\n\n    @patch('backend.services.user_management_service.extend_session')\n    @patch('backend.services.user_management_service.get_authorized_client')\n    async def test_refresh_token_success(self, mock_get_client, mock_extend_session):\n        \"\"\"Test successful token refresh\"\"\"\n        mock_client = MagicMock()\n        mock_get_client.return_value = mock_client\n\n        session_info = {\n            \"access_token\": \"new-access-token\",\n            \"refresh_token\": \"new-refresh-token\",\n            \"expires_at\": \"2024-01-01T00:00:00Z\",\n            \"expires_in_seconds\": 3600\n        }\n        mock_extend_session.return_value = session_info\n\n        result = await refresh_user_token(\"Bearer old-token\", \"refresh-token\")\n\n        self.assertEqual(result, session_info)\n        mock_get_client.assert_called_once_with(\"Bearer old-token\")\n        mock_extend_session.assert_called_once_with(mock_client, \"refresh-token\")\n\n    @patch('backend.services.user_management_service.extend_session')\n    @patch('backend.services.user_management_service.get_authorized_client')\n    async def test_refresh_token_failure(self, mock_get_client, mock_extend_session):\n        \"\"\"Test token refresh failure\"\"\"\n        mock_client = MagicMock()\n        mock_get_client.return_value = mock_client\n        mock_extend_session.return_value = None\n\n        with self.assertRaises(ValueError) as context:\n            await refresh_user_token(\"Bearer old-token\", \"refresh-token\")\n\n        self.assertEqual(str(context.exception), \"Refresh token failed, the token may have expired\")\n\n\nclass TestGetSessionByAuthorization(unittest.IsolatedAsyncioTestCase):\n    \"\"\"Test get_session_by_authorization\"\"\"\n\n    @patch('backend.services.user_management_service.validate_token')\n    async def test_get_session_success(self, mock_validate_token):\n        \"\"\"Test successful session retrieval\"\"\"\n        mock_user = MagicMock()\n        mock_user.id = \"user-123\"\n        mock_user.email = \"test@example.com\"\n        mock_user.user_metadata = {\"role\": \"admin\"}\n        mock_validate_token.return_value = (True, mock_user)\n\n        result = await get_session_by_authorization(\"Bearer token\")\n\n        expected = {\n            \"user\": {\n                \"id\": \"user-123\",\n                \"email\": \"test@example.com\",\n                \"role\": \"admin\"\n            }\n        }\n        self.assertEqual(result, expected)\n\n    @patch('backend.services.user_management_service.validate_token')\n    async def test_get_session_default_role(self, mock_validate_token):\n        \"\"\"Test session retrieval with default role\"\"\"\n        mock_user = MagicMock()\n        mock_user.id = \"user-123\"\n        mock_user.email = \"test@example.com\"\n        mock_user.user_metadata = None\n        mock_validate_token.return_value = (True, mock_user)\n\n        result = await get_session_by_authorization(\"Bearer token\")\n\n        self.assertEqual(result[\"user\"][\"role\"], \"user\")\n\n    @patch('backend.services.user_management_service.validate_token')\n    async def test_get_session_invalid_token(self, mock_validate_token):\n        \"\"\"Test session retrieval with invalid token\"\"\"\n        mock_validate_token.return_value = (False, None)\n\n        with self.assertRaises(UnauthorizedError) as context:\n            await get_session_by_authorization(\"Bearer invalid-token\")\n\n        self.assertEqual(str(context.exception), \"Session is invalid or expired\")\n\n\nclass TestGetUserInfo(unittest.IsolatedAsyncioTestCase):\n    \"\"\"Test get_user_info function\"\"\"\n\n    @patch('backend.services.user_management_service.as_dict')\n    @patch('backend.services.user_management_service.format_role_permissions')\n    @patch('backend.services.user_management_service.get_db_session')\n    @patch('backend.services.user_management_service.get_user_tenant_by_user_id')\n    @patch('backend.services.user_management_service.query_group_ids_by_user')\n    async def test_get_user_info_success(self, mock_query_group_ids, mock_get_user_tenant, mock_get_db_session, mock_format_permissions, mock_as_dict):\n        \"\"\"Test getting user information successfully\"\"\"\n        # Setup mocks\n        mock_get_user_tenant.return_value = {\n            \"tenant_id\": \"test_tenant\",\n            \"user_role\": \"ADMIN\",\n            \"user_email\": \"test@example.com\"\n        }\n        mock_query_group_ids.return_value = [1, 2, 3]\n\n        # Mock database session and query\n        mock_session = MagicMock()\n        mock_query = MagicMock()\n        mock_session.query.return_value = mock_query\n        mock_query.filter.return_value = mock_query\n        mock_query.all.return_value = [\n            MagicMock(),  # First permission record\n            MagicMock()   # Second permission record\n        ]\n        mock_get_db_session.return_value.__enter__.return_value = mock_session\n        mock_get_db_session.return_value.__exit__.return_value = None\n\n        # Mock as_dict calls for permission records\n        mock_as_dict.side_effect = [\n            {\"permission_category\": \"RESOURCE\", \"permission_type\": \"agent\", \"permission_subtype\": \"create\"},\n            {\"permission_type\": \"LEFT_NAV_MENU\", \"permission_subtype\": \"chat\"}\n        ]\n\n        mock_format_permissions.return_value = {\n            \"permissions\": [\"agent:create\"],\n            \"accessibleRoutes\": [\"chat\"]\n        }\n\n        # Execute\n        result = await get_user_info(\"test_user\")\n\n        # Assert\n        assert result is not None\n        assert result[\"user\"][\"user_id\"] == \"test_user\"\n        assert result[\"user\"][\"group_ids\"] == [1, 2, 3]\n        assert result[\"user\"][\"tenant_id\"] == \"test_tenant\"\n        assert result[\"user\"][\"user_email\"] == \"test@example.com\"\n        assert result[\"user\"][\"user_role\"] == \"ADMIN\"\n        assert result[\"user\"][\"permissions\"] == [\"agent:create\"]\n        assert result[\"user\"][\"accessibleRoutes\"] == [\"chat\"]\n\n        mock_get_user_tenant.assert_called_once_with(\"test_user\")\n        mock_query_group_ids.assert_called_once_with(\"test_user\")\n        mock_format_permissions.assert_called_once_with([\n            {\"permission_category\": \"RESOURCE\", \"permission_type\": \"agent\",\n                \"permission_subtype\": \"create\"},\n            {\"permission_type\": \"LEFT_NAV_MENU\", \"permission_subtype\": \"chat\"}\n        ])\n\n    @patch('backend.services.user_management_service.get_user_tenant_by_user_id')\n    async def test_get_user_info_user_not_found(self, mock_get_user_tenant):\n        \"\"\"Test getting user information when user doesn't exist\"\"\"\n        # Setup mocks\n        mock_get_user_tenant.return_value = None\n\n        # Execute\n        result = await get_user_info(\"nonexistent_user\")\n\n        # Assert\n        assert result is None\n        mock_get_user_tenant.assert_called_once_with(\"nonexistent_user\")\n\n    @patch('backend.services.user_management_service.get_user_tenant_by_user_id')\n    @patch('backend.services.user_management_service.query_group_ids_by_user')\n    async def test_get_user_info_exception_handling(self, mock_query_group_ids, mock_get_user_tenant):\n        \"\"\"Test get_user_info handles exceptions gracefully\"\"\"\n        # Setup mocks to raise exception\n        mock_get_user_tenant.side_effect = Exception(\"Database error\")\n\n        # Execute\n        result = await get_user_info(\"test_user\")\n\n        # Assert\n        assert result is None\n\n\nclass TestFormatRolePermissions(unittest.TestCase):\n    \"\"\"Test format_role_permissions function\"\"\"\n\n    def test_format_role_permissions_resource_only(self):\n        \"\"\"Test formatting with only RESOURCE permissions\"\"\"\n        permissions = [\n            {\n                \"permission_category\": \"RESOURCE\",\n                \"permission_type\": \"agent\",\n                \"permission_subtype\": \"create\"\n            },\n            {\n                \"permission_category\": \"RESOURCE\",\n                \"permission_type\": \"agent\",\n                \"permission_subtype\": \"read\"\n            }\n        ]\n\n        result = format_role_permissions(permissions)\n\n        assert result[\"permissions\"] == [\"agent:create\", \"agent:read\"]\n        assert result[\"accessibleRoutes\"] == []\n\n    def test_format_role_permissions_LEFT_NAV_MENU_only(self):\n        \"\"\"Test formatting with only LEFT_NAV_MENU permissions\"\"\"\n        permissions = [\n            {\n                \"permission_type\": \"LEFT_NAV_MENU\",\n                \"permission_subtype\": \"chat\"\n            },\n            {\n                \"permission_type\": \"LEFT_NAV_MENU\",\n                \"permission_subtype\": \"agents\"\n            }\n        ]\n\n        result = format_role_permissions(permissions)\n\n        assert result[\"permissions\"] == []\n        assert result[\"accessibleRoutes\"] == [\"chat\", \"agents\"]\n\n    def test_format_role_permissions_mixed(self):\n        \"\"\"Test formatting with mixed permission types\"\"\"\n        permissions = [\n            {\n                \"permission_category\": \"RESOURCE\",\n                \"permission_type\": \"agent\",\n                \"permission_subtype\": \"create\"\n            },\n            {\n                \"permission_type\": \"LEFT_NAV_MENU\",\n                \"permission_subtype\": \"chat\"\n            },\n            {\n                \"permission_category\": \"OTHER\",\n                \"permission_type\": \"SOME_TYPE\",\n                \"permission_subtype\": \"ignored\"\n            }\n        ]\n\n        result = format_role_permissions(permissions)\n\n        assert result[\"permissions\"] == [\"agent:create\"]\n        assert result[\"accessibleRoutes\"] == [\"chat\"]\n\n    def test_format_role_permissions_empty(self):\n        \"\"\"Test formatting with empty permissions list\"\"\"\n        permissions = []\n\n        result = format_role_permissions(permissions)\n\n        assert result[\"permissions\"] == []\n        assert result[\"accessibleRoutes\"] == []\n\n    def test_format_role_permissions_missing_fields(self):\n        \"\"\"Test formatting with missing fields\"\"\"\n        permissions = [\n            {\n                \"permission_category\": \"RESOURCE\",\n                \"permission_type\": \"agent\"\n                # missing permission_subtype\n            },\n            {\n                \"permission_type\": \"LEFT_NAV_MENU\"\n                # missing permission_subtype\n            }\n        ]\n\n        result = format_role_permissions(permissions)\n\n        assert result[\"permissions\"] == []\n        assert result[\"accessibleRoutes\"] == []\n\n\nclass TestCreateToken(unittest.IsolatedAsyncioTestCase):\n    \"\"\"Tests for create_token function in user_management_service.\"\"\"\n\n    @patch('backend.services.user_management_service.create_token_record')\n    @patch('backend.services.user_management_service.generate_access_key')\n    def test_create_token_success(self, mock_generate_access_key, mock_create_token_record):\n        \"\"\"Test successful token creation.\"\"\"\n        from backend.services import user_management_service as ums\n\n        mock_generate_access_key.return_value = \"nexent-abc123\"\n        mock_create_token_record.return_value = {\n            \"token_id\": 1,\n            \"access_key\": \"nexent-abc123\",\n            \"user_id\": \"user-123\"\n        }\n\n        result = ums.create_token(\"user-123\")\n\n        assert result[\"token_id\"] == 1\n        assert result[\"access_key\"] == \"nexent-abc123\"\n        assert result[\"user_id\"] == \"user-123\"\n        mock_generate_access_key.assert_called_once()\n        mock_create_token_record.assert_called_once_with(\"nexent-abc123\", \"user-123\")\n\n\nclass TestListTokensByUser(unittest.IsolatedAsyncioTestCase):\n    \"\"\"Tests for list_tokens_by_user function in user_management_service.\"\"\"\n\n    @patch('backend.services.user_management_service.list_tokens_by_user_record')\n    def test_list_tokens_by_user_success(self, mock_list_tokens):\n        \"\"\"Test successful token listing.\"\"\"\n        from backend.services import user_management_service as ums\n\n        mock_list_tokens.return_value = [\n            {\"token_id\": 1, \"access_key\": \"nexent-key1\", \"user_id\": \"user-123\"},\n            {\"token_id\": 2, \"access_key\": \"nexent-key2\", \"user_id\": \"user-123\"}\n        ]\n\n        result = ums.list_tokens_by_user(\"user-123\")\n\n        assert len(result) == 2\n        mock_list_tokens.assert_called_once_with(\"user-123\")\n\n    @patch('backend.services.user_management_service.list_tokens_by_user_record')\n    def test_list_tokens_by_user_empty(self, mock_list_tokens):\n        \"\"\"Test listing tokens when user has none.\"\"\"\n        from backend.services import user_management_service as ums\n\n        mock_list_tokens.return_value = []\n\n        result = ums.list_tokens_by_user(\"user-no-tokens\")\n\n        assert result == []\n\n\nclass TestDeleteToken(unittest.IsolatedAsyncioTestCase):\n    \"\"\"Tests for delete_token function in user_management_service.\"\"\"\n\n    @patch('backend.services.user_management_service.delete_token_record')\n    def test_delete_token_success(self, mock_delete_token):\n        \"\"\"Test successful token deletion.\"\"\"\n        from backend.services import user_management_service as ums\n\n        mock_delete_token.return_value = True\n\n        result = ums.delete_token(1, \"user-123\")\n\n        assert result is True\n        mock_delete_token.assert_called_once_with(1, \"user-123\")\n\n    @patch('backend.services.user_management_service.delete_token_record')\n    def test_delete_token_not_found(self, mock_delete_token):\n        \"\"\"Test deleting non-existent token.\"\"\"\n        from backend.services import user_management_service as ums\n\n        mock_delete_token.return_value = False\n\n        result = ums.delete_token(999, \"user-123\")\n\n        assert result is False\n\n\nclass TestIntegrationScenarios(unittest.IsolatedAsyncioTestCase):\n    \"\"\"Integration test scenarios\"\"\"\n\n\n\nif __name__ == '__main__':\n    unittest.main()\n"
  },
  {
    "path": "test/backend/services/test_user_service.py",
    "content": "\"\"\"\nUnit tests for backend.services.user_service module\n\"\"\"\nimport sys\nimport os\n\n# Add backend path for imports\nsys.path.insert(0, os.path.join(os.path.dirname(__file__), \"../../../backend\"))\n\nimport pytest\nfrom unittest.mock import patch, MagicMock\n\n# Mock external dependencies before any imports\nsys.modules['boto3'] = MagicMock()\nsys.modules['psycopg2'] = MagicMock()\nsys.modules['supabase'] = MagicMock()\nsys.modules['nexent'] = MagicMock()\nsys.modules['nexent.core'] = MagicMock()\nsys.modules['nexent.core.agents'] = MagicMock()\nsys.modules['nexent.core.agents.agent_model'] = MagicMock()\nsys.modules['nexent.storage'] = MagicMock()\nsys.modules['nexent.storage.storage_client_factory'] = MagicMock()\nsys.modules['nexent.storage.minio_config'] = MagicMock()\n\n# Mock for memory_service import used in delete_user_and_cleanup\nnexent_memory_service = MagicMock()\nsys.modules['nexent.memory'] = MagicMock()\nsys.modules['nexent.memory.memory_service'] = nexent_memory_service\n\n# Create mock ToolConfig class for imports\nfrom pydantic import BaseModel\nclass MockToolConfig(BaseModel):\n    name: str = \"\"\n    description: str = \"\"\n    parameters: dict = {}\n\nsys.modules['nexent.core.agents.agent_model'].ToolConfig = MockToolConfig\n\n# Patch storage client factory before imports\npatch('nexent.storage.storage_client_factory.create_storage_client_from_config', return_value=MagicMock()).start()\npatch('nexent.storage.minio_config.MinIOStorageConfig.validate', lambda self: None).start()\npatch('backend.database.client.MinioClient', return_value=MagicMock()).start()\n\n# Mock database functions before importing the service\npatch('database.user_tenant_db.get_users_by_tenant_id').start()\npatch('database.user_tenant_db.update_user_tenant_role').start()\npatch('database.user_tenant_db.get_user_tenant_by_user_id').start()\npatch('database.user_tenant_db.soft_delete_user_tenant_by_user_id').start()\npatch('database.group_db.remove_user_from_all_groups').start()\n\n# Import unit under test\nfrom backend.services.user_service import get_users, update_user, delete_user_and_cleanup\n\n\n@pytest.fixture(autouse=True)\ndef reset_mocks():\n    \"\"\"Reset mock return values, call counts, and side effects for each test\"\"\"\n    from backend.services import user_service\n\n    # Reset all mocks and clear side effects\n    user_service.get_users_by_tenant_id.reset_mock()\n    user_service.get_users_by_tenant_id.side_effect = None\n    user_service.update_user_tenant_role.reset_mock()\n    user_service.update_user_tenant_role.side_effect = None\n    user_service.get_user_tenant_by_user_id.reset_mock()\n    user_service.get_user_tenant_by_user_id.side_effect = None\n    user_service.soft_delete_user_tenant_by_user_id.reset_mock()\n    user_service.soft_delete_user_tenant_by_user_id.side_effect = None\n    user_service.remove_user_from_all_groups.reset_mock()\n    user_service.remove_user_from_all_groups.side_effect = None\n\n\nclass TestGetUsers:\n    \"\"\"Test cases for get_users function\"\"\"\n\n    @pytest.mark.parametrize(\"page,page_size,expected_page,expected_page_size\", [\n        (1, 20, 1, 20),  # Default pagination\n        (2, 10, 2, 10),  # Custom pagination\n        (5, 50, 5, 50),  # Large page size\n    ])\n    def test_get_users_success_with_pagination(self, page, page_size, expected_page, expected_page_size):\n        \"\"\"Test successfully retrieving users with various pagination settings\"\"\"\n        from backend.services import user_service\n        mock_db = user_service.get_users_by_tenant_id\n        tenant_id = \"tenant123\"\n\n        mock_relationships = [\n            {\"user_id\": \"user1\", \"user_email\": \"user1@example.com\", \"user_role\": \"USER\", \"tenant_id\": tenant_id},\n            {\"user_id\": \"user2\", \"user_email\": \"user2@example.com\", \"user_role\": \"ADMIN\", \"tenant_id\": tenant_id}\n        ]\n\n        mock_db.return_value = {\n            \"users\": mock_relationships,\n            \"total\": 2\n        }\n\n        # Execute\n        result = get_users(tenant_id, page, page_size, \"created_at\", \"desc\")\n\n        # Assert\n        assert len(result[\"users\"]) == 2\n        assert result[\"users\"][0][\"id\"] == \"user1\"\n        assert result[\"users\"][0][\"username\"] == \"user1@example.com\"\n        assert result[\"users\"][0][\"role\"] == \"USER\"\n        assert result[\"users\"][1][\"id\"] == \"user2\"\n        assert result[\"users\"][1][\"username\"] == \"user2@example.com\"\n        assert result[\"users\"][1][\"role\"] == \"ADMIN\"\n        assert result[\"total\"] == 2\n        assert result[\"page\"] == expected_page\n        assert result[\"page_size\"] == expected_page_size\n        assert result[\"total_pages\"] == 1  # Calculated: ceil(2/page_size)\n\n        # Verify database call\n        mock_db.assert_called_once_with(tenant_id, page, page_size, \"created_at\", \"desc\")\n\n    def test_get_users_success_without_pagination(self):\n        \"\"\"Test successfully retrieving users without pagination (returns all data)\"\"\"\n        from backend.services import user_service\n        mock_db = user_service.get_users_by_tenant_id\n        tenant_id = \"tenant123\"\n\n        mock_relationships = [\n            {\"user_id\": \"user1\", \"user_email\": \"user1@example.com\", \"user_role\": \"USER\", \"tenant_id\": tenant_id},\n            {\"user_id\": \"user2\", \"user_email\": \"user2@example.com\", \"user_role\": \"ADMIN\", \"tenant_id\": tenant_id},\n            {\"user_id\": \"user3\", \"user_email\": \"user3@example.com\", \"user_role\": \"USER\", \"tenant_id\": tenant_id}\n        ]\n\n        mock_db.return_value = {\n            \"users\": mock_relationships,\n            \"total\": 3\n        }\n\n        # Execute\n        result = get_users(tenant_id, None, None, \"created_at\", \"desc\")\n\n        # Assert\n        assert len(result[\"users\"]) == 3\n        assert result[\"total\"] == 3\n        assert \"page\" not in result\n        assert \"page_size\" not in result\n        assert \"total_pages\" not in result\n\n        # Verify database call\n        mock_db.assert_called_once_with(tenant_id, None, None, \"created_at\", \"desc\")\n\n    def test_get_users_success_with_only_page(self):\n        \"\"\"Test retrieving users with only page parameter (no pagination info in result)\"\"\"\n        from backend.services import user_service\n        mock_db = user_service.get_users_by_tenant_id\n        tenant_id = \"tenant123\"\n\n        mock_relationships = [\n            {\"user_id\": \"user1\", \"user_email\": \"user1@example.com\", \"user_role\": \"USER\", \"tenant_id\": tenant_id}\n        ]\n\n        mock_db.return_value = {\n            \"users\": mock_relationships,\n            \"total\": 1\n        }\n\n        result = get_users(tenant_id, 1, None, \"created_at\", \"desc\")\n\n        assert len(result[\"users\"]) == 1\n        assert result[\"total\"] == 1\n        assert \"page\" not in result\n        assert \"page_size\" not in result\n        assert \"total_pages\" not in result\n\n    def test_get_users_success_with_only_page_size(self):\n        \"\"\"Test retrieving users with only page_size parameter (no pagination info in result)\"\"\"\n        from backend.services import user_service\n        mock_db = user_service.get_users_by_tenant_id\n        tenant_id = \"tenant123\"\n\n        mock_relationships = [\n            {\"user_id\": \"user1\", \"user_email\": \"user1@example.com\", \"user_role\": \"USER\", \"tenant_id\": tenant_id}\n        ]\n\n        mock_db.return_value = {\n            \"users\": mock_relationships,\n            \"total\": 1\n        }\n\n        result = get_users(tenant_id, None, 20, \"created_at\", \"desc\")\n\n        assert len(result[\"users\"]) == 1\n        assert result[\"total\"] == 1\n        assert \"page\" not in result\n        assert \"page_size\" not in result\n        assert \"total_pages\" not in result\n\n    def test_get_users_success_with_asc_sort(self):\n        \"\"\"Test successfully retrieving users with ascending sort order\"\"\"\n        from backend.services import user_service\n        mock_db = user_service.get_users_by_tenant_id\n        tenant_id = \"tenant123\"\n\n        mock_relationships = [\n            {\"user_id\": \"user1\", \"user_email\": \"user1@example.com\", \"user_role\": \"USER\", \"tenant_id\": tenant_id}\n        ]\n\n        mock_db.return_value = {\n            \"users\": mock_relationships,\n            \"total\": 1\n        }\n\n        result = get_users(tenant_id, 1, 20, \"created_at\", \"asc\")\n\n        assert len(result[\"users\"]) == 1\n        assert result[\"total\"] == 1\n        mock_db.assert_called_once_with(tenant_id, 1, 20, \"created_at\", \"asc\")\n\n    def test_get_users_empty_result(self):\n        \"\"\"Test retrieving users when no users exist\"\"\"\n        from backend.services import user_service\n        mock_db = user_service.get_users_by_tenant_id\n        mock_db.return_value = {\n            \"users\": [],\n            \"total\": 0\n        }\n\n        result = get_users(\"tenant123\", 1, 20)\n\n        assert result[\"users\"] == []\n        assert result[\"total\"] == 0\n        assert result[\"total_pages\"] == 0\n\n    def test_get_users_with_null_email(self):\n        \"\"\"Test retrieving users when user_email is None\"\"\"\n        from backend.services import user_service\n        mock_db = user_service.get_users_by_tenant_id\n        mock_relationships = [\n            {\"user_id\": \"user1\", \"user_email\": None, \"user_role\": \"USER\", \"tenant_id\": \"tenant123\"}\n        ]\n\n        mock_db.return_value = {\n            \"users\": mock_relationships,\n            \"total\": 1\n        }\n\n        result = get_users(\"tenant123\", 1, 20)\n\n        assert result[\"users\"][0][\"username\"] is None\n        assert result[\"total\"] == 1\n\n    def test_get_users_default_parameters(self):\n        \"\"\"Test get_users with default parameters\"\"\"\n        from backend.services import user_service\n        mock_db = user_service.get_users_by_tenant_id\n        mock_db.return_value = {\n            \"users\": [],\n            \"total\": 0\n        }\n\n        result = get_users(\"tenant123\")  # No page/page_size specified, uses defaults\n\n        assert result[\"page\"] == 1\n        assert result[\"page_size\"] == 20\n        assert result[\"total_pages\"] == 0\n        mock_db.assert_called_once_with(\"tenant123\", 1, 20, 'created_at', 'desc')\n\n    def test_get_users_calculates_total_pages_correctly(self):\n        \"\"\"Test that total_pages is calculated correctly for pagination\"\"\"\n        from backend.services import user_service\n        mock_db = user_service.get_users_by_tenant_id\n        mock_db.return_value = {\n            \"users\": [\n                {\"user_id\": \"user1\", \"user_email\": \"user1@example.com\", \"user_role\": \"USER\", \"tenant_id\": \"tenant123\"}\n            ],\n            \"total\": 25\n        }\n\n        result = get_users(\"tenant123\", 2, 10)\n\n        assert result[\"total\"] == 25\n        assert result[\"total_pages\"] == 3  # Calculated: ceil(25/10) = 3\n\n\n@pytest.mark.asyncio\nclass TestUpdateUser:\n    \"\"\"Test cases for update_user function\"\"\"\n\n    @pytest.mark.parametrize(\"role\", [\"ADMIN\", \"DEV\", \"USER\"])\n    async def test_update_user_success_valid_roles(self, role):\n        \"\"\"Test successfully updating user with valid roles\"\"\"\n        from backend.services import user_service\n        mock_update_role = user_service.update_user_tenant_role\n        mock_get_user = user_service.get_user_tenant_by_user_id\n\n        user_id = \"user123\"\n        updated_by = \"updater456\"\n\n        mock_update_role.return_value = True\n        mock_get_user.return_value = {\n            \"user_id\": user_id,\n            \"user_email\": \"user@example.com\",\n            \"user_role\": role,\n            \"tenant_id\": \"tenant123\"\n        }\n\n        # Execute\n        result = await update_user(user_id, {\"role\": role}, updated_by)\n\n        # Assert\n        assert result[\"id\"] == user_id\n        assert result[\"username\"] == \"user@example.com\"\n        assert result[\"role\"] == role\n\n        # Verify database calls\n        mock_update_role.assert_called_once_with(user_id, role, updated_by)\n        mock_get_user.assert_called_once_with(user_id)\n\n    async def test_update_user_success_with_null_email(self):\n        \"\"\"Test successfully updating user when user_email is None\"\"\"\n        from backend.services import user_service\n        mock_update_role = user_service.update_user_tenant_role\n        mock_get_user = user_service.get_user_tenant_by_user_id\n\n        user_id = \"user123\"\n        update_data = {\"role\": \"USER\"}\n        updated_by = \"updater456\"\n\n        mock_update_role.return_value = True\n        mock_get_user.return_value = {\n            \"user_id\": user_id,\n            \"user_email\": None,\n            \"user_role\": \"USER\",\n            \"tenant_id\": \"tenant123\"\n        }\n\n        result = await update_user(user_id, update_data, updated_by)\n\n        assert result[\"username\"] is None\n        assert result[\"role\"] == \"USER\"\n\n    async def test_update_user_invalid_role(self):\n        \"\"\"Test updating user with invalid role\"\"\"\n        from backend.services import user_service\n        mock_update_role = user_service.update_user_tenant_role\n\n        user_id = \"user123\"\n        update_data = {\"role\": \"INVALID_ROLE\"}\n        updated_by = \"updater456\"\n\n        # Execute & Assert\n        with pytest.raises(ValueError, match=\"Invalid role. Must be one of: ADMIN, DEV, USER\"):\n            await update_user(user_id, update_data, updated_by)\n\n        # Verify database function was not called\n        mock_update_role.assert_not_called()\n\n    async def test_update_user_update_failed(self):\n        \"\"\"Test updating user when database update fails\"\"\"\n        from backend.services import user_service\n        mock_update_role = user_service.update_user_tenant_role\n        mock_get_user = user_service.get_user_tenant_by_user_id\n\n        user_id = \"user123\"\n        update_data = {\"role\": \"ADMIN\"}\n        updated_by = \"updater456\"\n\n        mock_update_role.return_value = False\n\n        # Execute & Assert\n        with pytest.raises(ValueError, match=f\"User {user_id} not found or update failed\"):\n            await update_user(user_id, update_data, updated_by)\n\n        # Verify calls\n        mock_update_role.assert_called_once_with(user_id, \"ADMIN\", updated_by)\n        mock_get_user.assert_not_called()\n\n    async def test_update_user_not_found_after_update(self):\n        \"\"\"Test updating user when user not found after update\"\"\"\n        from backend.services import user_service\n        mock_update_role = user_service.update_user_tenant_role\n        mock_get_user = user_service.get_user_tenant_by_user_id\n\n        user_id = \"user123\"\n        update_data = {\"role\": \"ADMIN\"}\n        updated_by = \"updater456\"\n\n        mock_update_role.return_value = True\n        mock_get_user.return_value = None\n\n        # Execute & Assert\n        with pytest.raises(ValueError, match=f\"User {user_id} not found after update\"):\n            await update_user(user_id, update_data, updated_by)\n\n        # Verify calls\n        mock_update_role.assert_called_once_with(user_id, \"ADMIN\", updated_by)\n        mock_get_user.assert_called_once_with(user_id)\n\n    async def test_update_user_empty_update_data(self):\n        \"\"\"Test updating user with empty update data\"\"\"\n        from backend.services import user_service\n        mock_update_role = user_service.update_user_tenant_role\n        mock_get_user = user_service.get_user_tenant_by_user_id\n\n        user_id = \"user123\"\n        update_data = {}\n        updated_by = \"updater456\"\n\n        mock_update_role.return_value = True\n        mock_get_user.return_value = {\n            \"user_id\": user_id,\n            \"user_email\": \"user@example.com\",\n            \"user_role\": \"USER\",\n            \"tenant_id\": \"tenant123\"\n        }\n\n        result = await update_user(user_id, update_data, updated_by)\n\n        # Assert role remains unchanged\n        assert result[\"role\"] == \"USER\"\n\n        # Verify database called with None for role\n        mock_update_role.assert_called_once_with(user_id, None, updated_by)\n\n    async def test_update_user_unexpected_error(self):\n        \"\"\"Test updating user with unexpected error\"\"\"\n        from backend.services import user_service\n        mock_update_role = user_service.update_user_tenant_role\n\n        user_id = \"user123\"\n        update_data = {\"role\": \"ADMIN\"}\n        updated_by = \"updater456\"\n\n        mock_update_role.side_effect = Exception(\"Database connection failed\")\n\n        # Execute & Assert\n        with pytest.raises(Exception, match=\"Database connection failed\"):\n            await update_user(user_id, update_data, updated_by)\n\n\nclass TestDataValidation:\n    \"\"\"Test data validation and edge cases\"\"\"\n\n    @pytest.mark.asyncio\n    async def test_update_user_role_validation_all_valid_roles(self):\n        \"\"\"Test role validation with all valid roles\"\"\"\n        from backend.services import user_service\n        valid_roles = [\"ADMIN\", \"DEV\", \"USER\"]\n\n        for role in valid_roles:\n            # Reset mocks for each iteration\n            mock_update_role = user_service.update_user_tenant_role\n            mock_get_user = user_service.get_user_tenant_by_user_id\n\n            # Reset return values for each iteration\n            mock_update_role.reset_mock()\n            mock_get_user.reset_mock()\n\n            mock_update_role.return_value = True\n            mock_get_user.return_value = {\n                \"user_id\": \"user123\",\n                \"user_email\": \"user@example.com\",\n                \"user_role\": role,\n                \"tenant_id\": \"tenant123\"\n            }\n\n            result = await update_user(\"user123\", {\"role\": role}, \"updater456\")\n\n            assert result[\"role\"] == role\n            mock_update_role.assert_called_once_with(\"user123\", role, \"updater456\")\n\n    @pytest.mark.asyncio\n    async def test_update_user_without_role_key(self):\n        \"\"\"Test updating user without role key in update_data\"\"\"\n        from backend.services import user_service\n        mock_update_role = user_service.update_user_tenant_role\n        mock_get_user = user_service.get_user_tenant_by_user_id\n\n        user_id = \"user123\"\n        update_data = {\"some_other_field\": \"value\"}\n        updated_by = \"updater456\"\n\n        mock_update_role.return_value = True\n        mock_get_user.return_value = {\n            \"user_id\": user_id,\n            \"user_email\": \"user@example.com\",\n            \"user_role\": \"USER\",\n            \"tenant_id\": \"tenant123\"\n        }\n\n        result = await update_user(user_id, update_data, updated_by)\n\n        # Assert - should call with None role (no role update)\n        mock_update_role.assert_called_once_with(user_id, None, updated_by)\n        assert result[\"role\"] == \"USER\"  # Existing role preserved\n\n    @pytest.mark.parametrize(\"invalid_role\", [\"invalid\", \"SUPER_ADMIN\", \"GUEST\", \"\", None])\n    async def test_update_user_invalid_role_various_cases(self, invalid_role):\n        \"\"\"Test updating user with various invalid roles\"\"\"\n        from backend.services import user_service\n        mock_update_role = user_service.update_user_tenant_role\n\n        user_id = \"user123\"\n        update_data = {\"role\": invalid_role}\n        updated_by = \"updater456\"\n\n        # Execute & Assert\n        with pytest.raises(ValueError, match=\"Invalid role. Must be one of: ADMIN, DEV, USER\"):\n            await update_user(user_id, update_data, updated_by)\n\n        # Verify database function was not called\n        mock_update_role.assert_not_called()\n\n\nclass TestDeleteUserAndCleanup:\n    \"\"\"Test cases for delete_user_and_cleanup function\"\"\"\n\n    @pytest.mark.asyncio\n    async def test_delete_user_and_cleanup_success(self, mocker):\n        \"\"\"Test successful complete user deletion and cleanup\"\"\"\n        # Mock all the dependencies\n        mock_soft_delete_tenant = mocker.patch(\n            \"backend.services.user_service.soft_delete_user_tenant_by_user_id\",\n            return_value=True\n        )\n        mock_remove_groups = mocker.patch(\n            \"backend.services.user_service.remove_user_from_all_groups\",\n            return_value=1\n        )\n        mock_soft_delete_configs = mocker.patch(\n            \"backend.services.user_service.soft_delete_all_configs_by_user_id\"\n        )\n        mock_soft_delete_convs = mocker.patch(\n            \"backend.services.user_service.soft_delete_all_conversations_by_user\",\n            return_value=5\n        )\n        mock_build_config = mocker.patch(\n            \"backend.services.user_service.build_memory_config\",\n            return_value={\"key\": \"value\"}\n        )\n        mock_clear_memory = mocker.patch(\n            \"backend.services.user_service.clear_memory\",\n            new_callable=mocker.AsyncMock\n        )\n        mock_get_admin = mocker.patch(\n            \"backend.services.user_service.get_supabase_admin_client\"\n        )\n\n        # Setup mock admin client\n        mock_admin = MagicMock()\n        mock_admin.auth.admin.delete_user = MagicMock()\n        mock_get_admin.return_value = mock_admin\n\n        user_id = \"user123\"\n        tenant_id = \"tenant456\"\n\n        await delete_user_and_cleanup(user_id, tenant_id)\n\n        # Verify all steps were called\n        mock_soft_delete_tenant.assert_called_once_with(user_id, user_id)\n        mock_remove_groups.assert_called_once_with(user_id, user_id)\n        mock_soft_delete_configs.assert_called_once_with(user_id, actor=user_id)\n        mock_soft_delete_convs.assert_called_once_with(user_id)\n        mock_build_config.assert_called_once_with(tenant_id)\n        # clear_memory called for user and user_agent\n        assert mock_clear_memory.call_count == 2\n        mock_get_admin.assert_called_once()\n        mock_admin.auth.admin.delete_user.assert_called_once_with(user_id)\n\n    @pytest.mark.asyncio\n    async def test_delete_user_and_cleanup_best_effort(self, mocker):\n        \"\"\"Test that errors in individual steps don't fail the entire cleanup\"\"\"\n        # Mock all dependencies with exceptions\n        mocker.patch(\n            \"backend.services.user_service.soft_delete_user_tenant_by_user_id\",\n            side_effect=Exception(\"tenant deletion failed\")\n        )\n        mocker.patch(\n            \"backend.services.user_service.remove_user_from_all_groups\",\n            side_effect=Exception(\"groups removal failed\")\n        )\n        mocker.patch(\n            \"backend.services.user_service.soft_delete_all_configs_by_user_id\",\n            side_effect=Exception(\"configs failed\")\n        )\n        mocker.patch(\n            \"backend.services.user_service.soft_delete_all_conversations_by_user\",\n            side_effect=Exception(\"convs failed\")\n        )\n        mocker.patch(\n            \"backend.services.user_service.build_memory_config\",\n            side_effect=Exception(\"config failed\")\n        )\n        mocker.patch(\n            \"backend.services.user_service.clear_memory\",\n            new_callable=mocker.AsyncMock,\n            side_effect=Exception(\"memory failed\")\n        )\n        mocker.patch(\n            \"backend.services.user_service.get_supabase_admin_client\",\n            side_effect=Exception(\"admin failed\")\n        )\n\n        user_id = \"user123\"\n        tenant_id = \"tenant456\"\n\n        # Should not raise, errors are logged and swallowed\n        await delete_user_and_cleanup(user_id, tenant_id)\n\n\n# Run tests when executed directly\nif __name__ == \"__main__\":\n    pytest.main([__file__])\n"
  },
  {
    "path": "test/backend/services/test_vectordatabase_service.py",
    "content": "import asyncio\nimport sys\nimport os\nimport time\nimport unittest\nfrom unittest.mock import MagicMock, ANY, AsyncMock, call\n# Mock MinioClient before importing modules that use it\nfrom unittest.mock import patch\nimport numpy as np\nfrom types import ModuleType, SimpleNamespace\n\nfrom fastapi.responses import StreamingResponse\n\n# Environment variables are now configured in conftest.py\n\n# Mock boto3 before importing the module under test\nboto3_mock = MagicMock()\nsys.modules['boto3'] = boto3_mock\n\n\n# Mock nexent modules before importing modules that use them\ndef _create_package_mock(name: str) -> MagicMock:\n    pkg = MagicMock()\n    pkg.__path__ = []  # Mark as package for importlib\n    pkg.__spec__ = SimpleNamespace(name=name, submodule_search_locations=[])\n    return pkg\n\n\nnexent_mock = _create_package_mock('nexent')\nsys.modules['nexent'] = nexent_mock\nsys.modules['nexent.core'] = _create_package_mock('nexent.core')\nsys.modules['nexent.core.agents'] = _create_package_mock('nexent.core.agents')\nsys.modules['nexent.core.agents.agent_model'] = MagicMock()\n# Mock nexent.core.models with OpenAIModel\nopenai_model_module = ModuleType('nexent.core.models')\nopenai_model_module.OpenAIModel = MagicMock\nsys.modules['nexent.core.models'] = openai_model_module\nsys.modules['nexent.core.models.embedding_model'] = MagicMock()\nsys.modules['nexent.core.models.stt_model'] = MagicMock()\nsys.modules['nexent.core.nlp'] = _create_package_mock('nexent.core.nlp')\nsys.modules['nexent.core.nlp.tokenizer'] = MagicMock()\n# Mock nexent.core.utils and observer module\nsys.modules['nexent.core.utils'] = _create_package_mock('nexent.core.utils')\nobserver_module = ModuleType('nexent.core.utils.observer')\nobserver_module.MessageObserver = MagicMock\nsys.modules['nexent.core.utils.observer'] = observer_module\nsys.modules['nexent.vector_database'] = _create_package_mock(\n    'nexent.vector_database')\nvector_db_base_module = ModuleType('nexent.vector_database.base')\n\n\nclass _VectorDatabaseCore:\n    \"\"\"Lightweight stand-in for the real VectorDatabaseCore for import-time typing.\"\"\"\n    pass\n\n\nvector_db_base_module.VectorDatabaseCore = _VectorDatabaseCore\nsys.modules['nexent.vector_database.base'] = vector_db_base_module\nsys.modules['nexent.vector_database.elasticsearch_core'] = MagicMock()\nsys.modules['nexent.vector_database.datamate_core'] = MagicMock()\n# Mock nexent.storage module and its submodules before any imports\nsys.modules['nexent.storage'] = _create_package_mock('nexent.storage')\nstorage_factory_module = MagicMock()\nstorage_config_module = MagicMock()\n# Create mock classes/functions that will be imported\nMinIOStorageConfigMock = MagicMock()\nMinIOStorageConfigMock.validate = lambda self: None\nstorage_factory_module.create_storage_client_from_config = MagicMock()\nstorage_factory_module.MinIOStorageConfig = MinIOStorageConfigMock\nstorage_config_module.MinIOStorageConfig = MinIOStorageConfigMock\nsys.modules['nexent.storage.storage_client_factory'] = storage_factory_module\nsys.modules['nexent.storage.minio_config'] = storage_config_module\n\n# Mock specific classes that are imported\nsys.modules['nexent.core.agents.agent_model'].ToolConfig = MagicMock()\nsys.modules['nexent.core.models.stt_model'].STTConfig = MagicMock()\nsys.modules['nexent.core.models.stt_model'].STTModel = MagicMock()\nsys.modules['nexent.core.models.tts_model'] = MagicMock()\nsys.modules['nexent.core.models.tts_model'].TTSConfig = MagicMock()\nsys.modules['nexent.core.models.tts_model'].TTSModel = MagicMock()\n\n# Patch storage factory and MinIO config validation to avoid errors during initialization\n# These patches must be started before any imports that use MinioClient\nstorage_client_mock = MagicMock()\n# Configure storage_client_mock.delete_file to return tuple (True, None)\nstorage_client_mock.delete_file.return_value = (True, None)\nminio_client_mock = MagicMock()\n# Configure default return values for minio_client_mock methods\nminio_client_mock.delete_file.return_value = (True, None)\nminio_client_mock.storage_config = MagicMock()\nminio_client_mock.storage_config.default_bucket = 'test-bucket'\n# Set _storage_client to storage_client_mock so MinioClient.delete_file works correctly\nminio_client_mock._storage_client = storage_client_mock\npatch('nexent.storage.storage_client_factory.create_storage_client_from_config',\n      return_value=storage_client_mock).start()\npatch('nexent.storage.minio_config.MinIOStorageConfig.validate',\n      lambda self: None).start()\npatch('backend.database.client.MinioClient',\n      return_value=minio_client_mock).start()\npatch('backend.database.client.minio_client', minio_client_mock).start()\n# Patch attachment_db.minio_client to use the same mock\n# This ensures delete_file and other methods work correctly\npatch('backend.database.attachment_db.minio_client', minio_client_mock).start()\n\n# Apply the patches before importing the module being tested\nwith patch('botocore.client.BaseClient._make_api_call'), \\\n        patch('elasticsearch.Elasticsearch', return_value=MagicMock()):\n    # Import utils.document_vector_utils to ensure it's available for patching\n    import utils.document_vector_utils\n    from backend.services.vectordatabase_service import ElasticSearchService, check_knowledge_base_exist_impl\n\n\ndef _accurate_search_impl(request, vdb_core):\n    start_time = time.time()\n    if not request.query or not request.query.strip():\n        raise Exception(\"Search query cannot be empty\")\n    if not request.index_names:\n        raise Exception(\"At least one index name is required\")\n\n    results = vdb_core.accurate_search(\n        index_names=request.index_names,\n        query=request.query,\n        top_k=request.top_k\n    )\n    end_time = time.time()\n    query_time_ms = (end_time - start_time) * 1000\n\n    return {\n        \"results\": results,\n        \"total\": len(results),\n        \"query_time_ms\": query_time_ms\n    }\n\n\ndef _semantic_search_impl(request, vdb_core):\n    start_time = time.time()\n    results = vdb_core.semantic_search(\n        index_names=request.index_names,\n        query=request.query,\n        top_k=request.top_k\n    )\n    end_time = time.time()\n    query_time_ms = (end_time - start_time) * 1000\n\n    return {\n        \"results\": results,\n        \"total\": len(results),\n        \"query_time_ms\": query_time_ms\n    }\n\n\nclass TestElasticSearchService(unittest.TestCase):\n    def setUp(self):\n        \"\"\"\n        Set up test environment before each test.\n\n        This method initializes a fresh ElasticSearchService instance\n        and prepares mock objects for the ES core and embedding model\n        that will be used across test cases.\n        \"\"\"\n        self.es_service = ElasticSearchService()\n        self.mock_vdb_core = MagicMock()\n        self.mock_vdb_core.embedding_model = MagicMock()\n        self.mock_vdb_core.embedding_dim = 768\n\n        # Patch get_embedding_model for all tests\n        self.get_embedding_model_patcher = patch(\n            'backend.services.vectordatabase_service.get_embedding_model')\n        self.mock_get_embedding = self.get_embedding_model_patcher.start()\n        self.mock_embedding = MagicMock()\n        self.mock_embedding.embedding_dim = 768\n        self.mock_embedding.model = \"test-model\"\n        self.mock_get_embedding.return_value = self.mock_embedding\n\n        ElasticSearchService.accurate_search = staticmethod(\n            _accurate_search_impl)\n        ElasticSearchService.semantic_search = staticmethod(\n            _semantic_search_impl)\n\n    def tearDown(self):\n        \"\"\"Clean up resources after each test.\"\"\"\n        self.get_embedding_model_patcher.stop()\n        if hasattr(ElasticSearchService, 'accurate_search'):\n            del ElasticSearchService.accurate_search\n        if hasattr(ElasticSearchService, 'semantic_search'):\n            del ElasticSearchService.semantic_search\n\n    @patch('backend.services.vectordatabase_service.create_knowledge_record')\n    def test_create_index_success(self, mock_create_knowledge):\n        \"\"\"\n        Test successful index creation.\n\n        This test verifies that:\n        1. The index is created when it doesn't already exist\n        2. The vector index is properly configured with the correct embedding dimension\n        3. A knowledge record is created for the new index\n        4. The method returns a success status\n        \"\"\"\n        # Setup\n        self.mock_vdb_core.check_index_exists.return_value = False\n        self.mock_vdb_core.create_index.return_value = True\n        mock_create_knowledge.return_value = True\n\n        # Execute\n        result = ElasticSearchService.create_index(\n            index_name=\"test_index\",\n            embedding_dim=768,\n            vdb_core=self.mock_vdb_core,\n            user_id=\"test_user\",\n            tenant_id=\"test_tenant\"  # Added explicit tenant_id\n        )\n\n        # Assert\n        self.assertEqual(result[\"status\"], \"success\")\n        self.mock_vdb_core.check_index_exists.assert_called_once_with(\n            \"test_index\")\n        self.mock_vdb_core.create_index.assert_called_once_with(\n            \"test_index\", embedding_dim=768)\n        mock_create_knowledge.assert_called_once()\n\n    @patch('backend.services.vectordatabase_service.create_knowledge_record')\n    def test_create_index_already_exists(self, mock_create_knowledge):\n        \"\"\"\n        Test index creation when the index already exists.\n\n        This test verifies that:\n        1. An Exception with status code 500 is raised when the index already exists\n        2. The exception message contains \"already exists\"\n        3. No knowledge record is created\n        \"\"\"\n        # Setup\n        self.mock_vdb_core.check_index_exists.return_value = True\n\n        # Execute and Assert\n        with self.assertRaises(Exception) as context:\n            ElasticSearchService.create_index(\n                index_name=\"test_index\",\n                embedding_dim=768,\n                vdb_core=self.mock_vdb_core,\n                user_id=\"test_user\"\n            )\n\n        # Check the exception message\n        self.assertIn(\"already exists\", str(context.exception))\n        mock_create_knowledge.assert_not_called()\n\n    @patch('backend.services.vectordatabase_service.create_knowledge_record')\n    def test_create_knowledge_base_generates_index(self, mock_create_knowledge):\n        \"\"\"Ensure create_knowledge_base creates record then ES index.\"\"\"\n        self.mock_vdb_core.create_index.return_value = True\n        mock_create_knowledge.return_value = {\n            \"knowledge_id\": 7,\n            \"index_name\": \"7-uuid\",\n            \"knowledge_name\": \"kb1\",\n        }\n\n        result = ElasticSearchService.create_knowledge_base(\n            knowledge_name=\"kb1\",\n            embedding_dim=256,\n            vdb_core=self.mock_vdb_core,\n            user_id=\"user-1\",\n            tenant_id=\"tenant-1\",\n        )\n\n        self.assertEqual(result[\"status\"], \"success\")\n        self.assertEqual(result[\"knowledge_id\"], 7)\n        self.assertEqual(result[\"id\"], \"7-uuid\")\n        self.mock_vdb_core.create_index.assert_called_once_with(\n            \"7-uuid\", embedding_dim=256\n        )\n\n    @patch('backend.services.vectordatabase_service.create_knowledge_record')\n    def test_create_knowledge_base_with_group_permissions(self, mock_create_knowledge):\n        \"\"\"\n        Test create_knowledge_base with group permissions.\n\n        Verifies that ingroup_permission and group_ids are correctly\n        passed to the knowledge record creation.\n        \"\"\"\n        self.mock_vdb_core.create_index.return_value = True\n        mock_create_knowledge.return_value = {\n            \"knowledge_id\": 7,\n            \"index_name\": \"7-uuid\",\n            \"knowledge_name\": \"kb1\",\n        }\n\n        result = ElasticSearchService.create_knowledge_base(\n            knowledge_name=\"kb1\",\n            embedding_dim=256,\n            vdb_core=self.mock_vdb_core,\n            user_id=\"user-1\",\n            tenant_id=\"tenant-1\",\n            ingroup_permission=\"EDIT\",\n            group_ids=[1, 2, 3],\n        )\n\n        self.assertEqual(result[\"status\"], \"success\")\n        # Verify that create_knowledge_record was called with group permissions\n        mock_create_knowledge.assert_called_once()\n        # Parameters are passed as positional argument (knowledge_data dict), not keyword args\n        call_kwargs = mock_create_knowledge.call_args[0][0]\n        self.assertEqual(call_kwargs[\"ingroup_permission\"], \"EDIT\")\n        self.assertEqual(call_kwargs[\"group_ids\"], [1, 2, 3])\n\n    @patch('backend.services.vectordatabase_service.create_knowledge_record')\n    def test_create_knowledge_base_with_partial_group_permissions(self, mock_create_knowledge):\n        \"\"\"\n        Test create_knowledge_base with only ingroup_permission (no group_ids).\n\n        Verifies that the method handles partial group permissions correctly.\n        \"\"\"\n        self.mock_vdb_core.create_index.return_value = True\n        mock_create_knowledge.return_value = {\n            \"knowledge_id\": 8,\n            \"index_name\": \"8-uuid2\",\n            \"knowledge_name\": \"kb2\",\n        }\n\n        result = ElasticSearchService.create_knowledge_base(\n            knowledge_name=\"kb2\",\n            embedding_dim=256,\n            vdb_core=self.mock_vdb_core,\n            user_id=\"user-1\",\n            tenant_id=\"tenant-1\",\n            ingroup_permission=\"READ_ONLY\",\n            # group_ids not provided\n        )\n\n        self.assertEqual(result[\"status\"], \"success\")\n        mock_create_knowledge.assert_called_once()\n        # Parameters are passed as positional argument (knowledge_data dict), not keyword args\n        call_kwargs = mock_create_knowledge.call_args[0][0]\n        self.assertEqual(call_kwargs[\"ingroup_permission\"], \"READ_ONLY\")\n        # group_ids should not be in the call if not provided\n        self.assertNotIn(\"group_ids\", call_kwargs)\n\n    @patch('backend.services.vectordatabase_service.create_knowledge_record')\n    def test_create_knowledge_base_with_empty_group_ids(self, mock_create_knowledge):\n        \"\"\"\n        Test create_knowledge_base with empty group_ids list.\n\n        Verifies that an empty list of group_ids is passed correctly.\n        \"\"\"\n        self.mock_vdb_core.create_index.return_value = True\n        mock_create_knowledge.return_value = {\n            \"knowledge_id\": 9,\n            \"index_name\": \"9-uuid3\",\n            \"knowledge_name\": \"kb3\",\n        }\n\n        result = ElasticSearchService.create_knowledge_base(\n            knowledge_name=\"kb3\",\n            embedding_dim=256,\n            vdb_core=self.mock_vdb_core,\n            user_id=\"user-1\",\n            tenant_id=\"tenant-1\",\n            ingroup_permission=\"PRIVATE\",\n            group_ids=[],\n        )\n\n        self.assertEqual(result[\"status\"], \"success\")\n        mock_create_knowledge.assert_called_once()\n        # Parameters are passed as positional argument (knowledge_data dict), not keyword args\n        call_kwargs = mock_create_knowledge.call_args[0][0]\n        self.assertEqual(call_kwargs[\"ingroup_permission\"], \"PRIVATE\")\n        self.assertEqual(call_kwargs[\"group_ids\"], [])\n\n    @patch('backend.services.vectordatabase_service.create_knowledge_record')\n    def test_create_index_failure(self, mock_create_knowledge):\n        \"\"\"\n        Test index creation failure.\n\n        This test verifies that:\n        1. An Exception with status code 500 is raised when index creation fails\n        2. The exception message contains \"Failed to create index\"\n        3. No knowledge record is created\n        \"\"\"\n        # Setup\n        self.mock_vdb_core.check_index_exists.return_value = False\n        self.mock_vdb_core.create_index.return_value = False\n\n        # Execute and Assert\n        with self.assertRaises(Exception) as context:\n            ElasticSearchService.create_index(\n                index_name=\"test_index\",\n                embedding_dim=768,\n                vdb_core=self.mock_vdb_core,\n                user_id=\"test_user\",\n                tenant_id=\"test_tenant\"  # Added explicit tenant_id\n            )\n\n        self.assertIn(\"Failed to create index\", str(context.exception))\n        mock_create_knowledge.assert_not_called()\n\n    @patch('backend.services.vectordatabase_service.delete_knowledge_record')\n    def test_delete_index_success(self, mock_delete_knowledge):\n        \"\"\"\n        Test successful index deletion.\n\n        This test verifies that:\n        1. The index is successfully deleted from Elasticsearch\n        2. The corresponding knowledge record is deleted\n        3. The method returns a success status\n        \"\"\"\n        # Setup\n        self.mock_vdb_core.delete_index.return_value = True\n        mock_delete_knowledge.return_value = True\n\n        # Execute\n        async def run_test():\n            result = await ElasticSearchService.delete_index(\n                index_name=\"test_index\",\n                vdb_core=self.mock_vdb_core,\n                user_id=\"test_user\"\n            )\n\n            # Assert\n            self.assertEqual(result[\"status\"], \"success\")\n            self.mock_vdb_core.delete_index.assert_called_once_with(\n                \"test_index\")\n            mock_delete_knowledge.assert_called_once()\n\n        asyncio.run(run_test())\n\n    @patch('backend.services.vectordatabase_service.delete_knowledge_record')\n    def test_delete_index_failure(self, mock_delete_knowledge):\n        \"\"\"\n        Test index deletion failure.\n\n        This test verifies that:\n        1. When index deletion fails, the method still proceeds with knowledge record deletion\n        2. The method returns success status if knowledge record deletion succeeds\n        \"\"\"\n        # Setup\n        self.mock_vdb_core.delete_index.return_value = False\n        mock_delete_knowledge.return_value = True\n\n        # Execute\n        async def run_test():\n            result = await ElasticSearchService.delete_index(\n                index_name=\"test_index\",\n                vdb_core=self.mock_vdb_core,\n                user_id=\"test_user\"\n            )\n\n            # Assert\n            self.assertEqual(result[\"status\"], \"success\")\n            self.mock_vdb_core.delete_index.assert_called_once_with(\n                \"test_index\")\n            mock_delete_knowledge.assert_called_once()\n\n        asyncio.run(run_test())\n\n    @patch('backend.services.vectordatabase_service.delete_knowledge_record')\n    def test_delete_index_knowledge_record_failure(self, mock_delete_knowledge):\n        \"\"\"\n        Test deletion when the index is deleted but knowledge record deletion fails.\n\n        This test verifies that:\n        1. When Elasticsearch index is deleted successfully but knowledge record deletion fails\n        2. An Exception with status code 500 is raised\n        3. The exception message contains \"Error deleting knowledge record\"\n        \"\"\"\n        # Setup\n        self.mock_vdb_core.delete_index.return_value = True\n        mock_delete_knowledge.return_value = False\n\n        # Execute and Assert\n        async def run_test():\n            with self.assertRaises(Exception) as context:\n                await ElasticSearchService.delete_index(\n                    index_name=\"test_index\",\n                    vdb_core=self.mock_vdb_core,\n                    user_id=\"test_user\"\n                )\n\n            self.assertIn(\"Error deleting knowledge record\",\n                          str(context.exception))\n\n        asyncio.run(run_test())\n\n    @patch('backend.services.vectordatabase_service.query_group_ids_by_user')\n    @patch('backend.services.vectordatabase_service.get_user_tenant_by_user_id')\n    @patch('backend.services.vectordatabase_service.get_knowledge_info_by_tenant_id')\n    def test_list_indices_without_stats(self, mock_get_knowledge, mock_get_user_tenant, mock_get_group_ids):\n        \"\"\"\n        Test listing indices without including statistics.\n\n        This test verifies that:\n        1. The method retrieves indices matching the pattern\n        2. The correct number of indices is returned\n        3. No statistics are requested when include_stats is False\n        \"\"\"\n        # Setup\n        self.mock_vdb_core.get_user_indices.return_value = [\"index1\", \"index2\"]\n        mock_get_knowledge.return_value = [\n            {\"index_name\": \"index1\",\n                \"embedding_model_name\": \"test-model\", \"group_ids\": \"1,2\", \"knowledge_sources\": \"elasticsearch\", \"ingroup_permission\": \"EDIT\", \"tenant_id\": \"test_tenant\"},\n            {\"index_name\": \"index2\", \"embedding_model_name\": \"test-model\",\n                \"group_ids\": \"\", \"knowledge_sources\": \"elasticsearch\", \"ingroup_permission\": \"READ_ONLY\", \"tenant_id\": \"test_tenant\"}\n        ]\n        mock_get_user_tenant.return_value = {\n            \"user_role\": \"SU\", \"tenant_id\": \"test_tenant\"}\n        mock_get_group_ids.return_value = []\n\n        # Execute\n        result = ElasticSearchService.list_indices(\n            pattern=\"*\",\n            include_stats=False,\n            target_tenant_id=\"test_tenant\",  # Now required parameter\n            user_id=\"test_user\",  # New required parameter\n            vdb_core=self.mock_vdb_core\n        )\n\n        # Assert\n        self.assertEqual(len(result[\"indices\"]), 2)\n        self.assertEqual(result[\"count\"], 2)\n        self.mock_vdb_core.get_user_indices.assert_called_once_with(\"*\")\n        mock_get_knowledge.assert_called_once_with(\"test_tenant\")\n\n    @patch('backend.services.vectordatabase_service.query_group_ids_by_user')\n    @patch('backend.services.vectordatabase_service.get_user_tenant_by_user_id')\n    @patch('backend.services.vectordatabase_service.get_knowledge_info_by_tenant_id')\n    def test_list_indices_with_stats(self, mock_get_knowledge, mock_get_user_tenant, mock_get_group_ids):\n        \"\"\"\n        Test listing indices with statistics included.\n\n        This test verifies that:\n        1. The method retrieves indices matching the pattern\n        2. Statistics for each index are also retrieved\n        3. Both indices and their stats are included in the response\n        \"\"\"\n        # Setup\n        self.mock_vdb_core.get_user_indices.return_value = [\"index1\", \"index2\"]\n        self.mock_vdb_core.get_indices_detail.return_value = {\n            \"index1\": {\"base_info\": {\"doc_count\": 10, \"embedding_model\": \"test-model\"}},\n            \"index2\": {\"base_info\": {\"doc_count\": 20, \"embedding_model\": \"test-model\"}}\n        }\n        mock_get_knowledge.return_value = [\n            {\"index_name\": \"index1\",\n                \"embedding_model_name\": \"test-model\", \"group_ids\": \"1,2\", \"knowledge_sources\": \"elasticsearch\", \"ingroup_permission\": \"EDIT\", \"tenant_id\": \"test_tenant\"},\n            {\"index_name\": \"index2\", \"embedding_model_name\": \"test-model\",\n                \"group_ids\": \"\", \"knowledge_sources\": \"elasticsearch\", \"ingroup_permission\": \"READ_ONLY\", \"tenant_id\": \"test_tenant\"}\n        ]\n        mock_get_user_tenant.return_value = {\n            \"user_role\": \"SU\", \"tenant_id\": \"test_tenant\"}\n        mock_get_group_ids.return_value = []\n\n        # Execute\n        result = ElasticSearchService.list_indices(\n            pattern=\"*\",\n            include_stats=True,\n            target_tenant_id=\"test_tenant\",  # Now required parameter\n            user_id=\"test_user\",  # New required parameter\n            vdb_core=self.mock_vdb_core\n        )\n\n        # Assert\n        self.assertEqual(len(result[\"indices\"]), 2)\n        self.assertEqual(result[\"count\"], 2)\n        self.assertEqual(len(result[\"indices_info\"]), 2)\n\n        # Verify group_ids are included and correctly parsed\n        self.assertEqual(result[\"indices_info\"][0][\"group_ids\"], [1, 2])\n        self.assertEqual(result[\"indices_info\"][1][\"group_ids\"], [])\n\n        self.mock_vdb_core.get_user_indices.assert_called_once_with(\"*\")\n        self.mock_vdb_core.get_indices_detail.assert_called_once_with(\n            [\"index1\", \"index2\"])\n        mock_get_knowledge.assert_called_once_with(\"test_tenant\")\n\n    @patch('backend.services.vectordatabase_service.query_group_ids_by_user')\n    @patch('backend.services.vectordatabase_service.get_user_tenant_by_user_id')\n    @patch('backend.services.vectordatabase_service.get_knowledge_info_by_tenant_id')\n    def test_list_indices_skips_missing_indices(self, mock_get_info, mock_get_user_tenant, mock_get_group_ids):\n        \"\"\"\n        Test that list_indices skips indices that exist in database but not in Elasticsearch.\n        \"\"\"\n        self.mock_vdb_core.get_user_indices.return_value = [\"es_index\"]\n        mock_get_info.return_value = [\n            {\"index_name\": \"dangling_index\",\n                \"embedding_model_name\": \"model-A\", \"group_ids\": \"1\", \"knowledge_sources\": \"elasticsearch\", \"ingroup_permission\": \"EDIT\", \"tenant_id\": \"tenant-1\"}\n        ]\n        mock_get_user_tenant.return_value = {\n            \"user_role\": \"SU\", \"tenant_id\": \"tenant-1\"}\n        mock_get_group_ids.return_value = []\n\n        result = ElasticSearchService.list_indices(\n            pattern=\"*\",\n            include_stats=False,\n            target_tenant_id=\"tenant-1\",\n            user_id=\"user-1\",\n            vdb_core=self.mock_vdb_core\n        )\n\n        # Should skip the dangling index and return empty result\n        self.assertEqual(result[\"indices\"], [])\n        self.assertEqual(result[\"count\"], 0)\n\n    @patch('backend.services.vectordatabase_service.query_group_ids_by_user')\n    @patch('backend.services.vectordatabase_service.get_user_tenant_by_user_id')\n    @patch('backend.services.vectordatabase_service.get_knowledge_info_by_tenant_id')\n    def test_list_indices_stats_defaults_when_missing(self, mock_get_info, mock_get_user_tenant, mock_get_group_ids):\n        \"\"\"\n        Test list_indices include_stats path when Elasticsearch returns no stats for an index.\n        \"\"\"\n        self.mock_vdb_core.get_user_indices.return_value = [\"index1\"]\n        mock_get_info.return_value = [\n            {\"index_name\": \"index1\", \"embedding_model_name\": \"model-A\",\n                \"group_ids\": \"1,2\", \"knowledge_sources\": \"elasticsearch\", \"ingroup_permission\": \"EDIT\", \"tenant_id\": \"tenant-1\"}\n        ]\n        self.mock_vdb_core.get_indices_detail.return_value = {}\n        mock_get_user_tenant.return_value = {\n            \"user_role\": \"SU\", \"tenant_id\": \"tenant-1\"}\n        mock_get_group_ids.return_value = []\n\n        result = ElasticSearchService.list_indices(\n            pattern=\"*\",\n            include_stats=True,\n            target_tenant_id=\"tenant-1\",\n            user_id=\"user-1\",\n            vdb_core=self.mock_vdb_core\n        )\n\n        self.assertEqual(result[\"indices\"], [\"index1\"])\n        self.assertEqual(result[\"indices_info\"][0][\"name\"], \"index1\")\n        self.assertEqual(result[\"indices_info\"][0][\"stats\"], {})\n\n    @patch('backend.services.vectordatabase_service.query_group_ids_by_user')\n    @patch('backend.services.vectordatabase_service.get_user_tenant_by_user_id')\n    @patch('backend.services.vectordatabase_service.update_model_name_by_index_name')\n    @patch('backend.services.vectordatabase_service.get_knowledge_info_by_tenant_id')\n    def test_list_indices_backfills_missing_model_names(self, mock_get_info, mock_update_model, mock_get_user_tenant, mock_get_group_ids):\n        \"\"\"\n        Test that list_indices updates database records when embedding_model_name is missing.\n        \"\"\"\n        self.mock_vdb_core.get_user_indices.return_value = [\"index1\"]\n        mock_get_info.return_value = [\n            {\"index_name\": \"index1\", \"embedding_model_name\": None,\n                \"knowledge_sources\": \"elasticsearch\", \"ingroup_permission\": \"EDIT\", \"tenant_id\": \"tenant-1\"}\n        ]\n        self.mock_vdb_core.get_indices_detail.return_value = {\n            \"index1\": {\"base_info\": {\"embedding_model\": \"text-embedding-ada-002\"}}\n        }\n        mock_get_user_tenant.return_value = {\n            \"user_role\": \"SU\", \"tenant_id\": \"tenant-1\"}\n        mock_get_group_ids.return_value = []\n\n        result = ElasticSearchService.list_indices(\n            pattern=\"*\",\n            include_stats=True,\n            target_tenant_id=\"tenant-1\",\n            user_id=\"user-1\",\n            vdb_core=self.mock_vdb_core\n        )\n\n        mock_update_model.assert_called_once_with(\n            \"index1\", \"text-embedding-ada-002\", \"tenant-1\", \"user-1\"\n        )\n        self.assertEqual(result[\"count\"], 1)\n        self.assertEqual(result[\"indices\"][0], \"index1\")\n\n    @patch('backend.services.vectordatabase_service.query_group_ids_by_user')\n    @patch('backend.services.vectordatabase_service.get_user_tenant_by_user_id')\n    @patch('backend.services.vectordatabase_service.get_knowledge_info_by_tenant_id')\n    def test_list_indices_stats_surfaces_elasticsearch_errors(self, mock_get_info, mock_get_user_tenant, mock_get_group_ids):\n        \"\"\"\n        Test that list_indices propagates Elasticsearch errors while fetching stats.\n        \"\"\"\n        self.mock_vdb_core.get_user_indices.return_value = [\"index1\"]\n        mock_get_info.return_value = [\n            {\"index_name\": \"index1\", \"embedding_model_name\": \"model-A\",\n                \"group_ids\": \"1,2\", \"knowledge_sources\": \"elasticsearch\", \"ingroup_permission\": \"EDIT\", \"tenant_id\": \"tenant-1\"}\n        ]\n        self.mock_vdb_core.get_indices_detail.side_effect = Exception(\n            \"503 Service Unavailable\"\n        )\n        mock_get_user_tenant.return_value = {\n            \"user_role\": \"SU\", \"tenant_id\": \"tenant-1\"}\n        mock_get_group_ids.return_value = []\n\n        with self.assertRaises(Exception) as context:\n            ElasticSearchService.list_indices(\n                pattern=\"*\",\n                include_stats=True,\n                target_tenant_id=\"tenant-1\",\n                user_id=\"user-1\",\n                vdb_core=self.mock_vdb_core\n            )\n\n        self.assertIn(\"503 Service Unavailable\", str(context.exception))\n\n    @patch('backend.services.vectordatabase_service.query_group_ids_by_user')\n    @patch('backend.services.vectordatabase_service.get_user_tenant_by_user_id')\n    @patch('backend.services.vectordatabase_service.get_knowledge_info_by_tenant_id')\n    def test_list_indices_stats_keeps_non_stat_fields(self, mock_get_info, mock_get_user_tenant, mock_get_group_ids):\n        \"\"\"\n        Test that list_indices preserves all stats fields returned by ElasticSearchCore.\n        \"\"\"\n        self.mock_vdb_core.get_user_indices.return_value = [\"index1\"]\n        mock_get_info.return_value = [\n            {\"index_name\": \"index1\", \"embedding_model_name\": \"model-A\",\n                \"group_ids\": \"1,2\", \"knowledge_sources\": \"elasticsearch\", \"ingroup_permission\": \"EDIT\", \"tenant_id\": \"tenant-1\"}\n        ]\n        detailed_stats = {\n            \"index1\": {\n                \"base_info\": {\n                    \"doc_count\": 42,\n                    \"process_source\": \"Unstructured\",\n                    \"embedding_model\": \"text-embedding-3-large\"\n                },\n                \"search_performance\": {\"avg_time\": 12.3}\n            }\n        }\n        self.mock_vdb_core.get_indices_detail.return_value = detailed_stats\n        mock_get_user_tenant.return_value = {\n            \"user_role\": \"SU\", \"tenant_id\": \"tenant-1\"}\n        mock_get_group_ids.return_value = []\n\n        result = ElasticSearchService.list_indices(\n            pattern=\"*\",\n            include_stats=True,\n            target_tenant_id=\"tenant-1\",\n            user_id=\"user-1\",\n            vdb_core=self.mock_vdb_core\n        )\n\n        self.assertEqual(len(result[\"indices_info\"]), 1)\n        self.assertEqual(result[\"indices_info\"][0]\n                         [\"stats\"], detailed_stats[\"index1\"])\n\n    @patch('backend.services.vectordatabase_service.query_group_ids_by_user')\n    @patch('backend.services.vectordatabase_service.get_user_tenant_by_user_id')\n    @patch('backend.services.vectordatabase_service.get_knowledge_info_by_tenant_id')\n    def test_list_indices_creator_permission(self, mock_get_knowledge, mock_get_user_tenant, mock_get_group_ids):\n        \"\"\"\n        Test that creator of a knowledge base gets CREATOR permission.\n\n        This test verifies that:\n        1. When user is the creator of a knowledge base, they get CREATOR permission\n        2. When user is not the creator, they don't get CREATOR permission\n        \"\"\"\n        # Setup\n        self.mock_vdb_core.get_user_indices.return_value = [\"index1\", \"index2\"]\n        mock_get_knowledge.return_value = [\n            {\n                \"index_name\": \"index1\",\n                \"embedding_model_name\": \"test-model\",\n                \"group_ids\": \"1\",\n                \"created_by\": \"test_user\",  # User is creator\n                \"ingroup_permission\": \"READ_ONLY\",\n                \"tenant_id\": \"test_tenant\",\n                \"knowledge_sources\": \"elasticsearch\"\n            },\n            {\n                \"index_name\": \"index2\",\n                \"embedding_model_name\": \"test-model\",\n                \"group_ids\": \"1\",\n                \"created_by\": \"other_user\",  # User is not creator\n                \"ingroup_permission\": \"EDIT\",\n                \"tenant_id\": \"test_tenant\",\n                \"knowledge_sources\": \"elasticsearch\"\n            }\n        ]\n        mock_get_user_tenant.return_value = {\n            \"user_role\": \"USER\", \"tenant_id\": \"test_tenant\"}\n        mock_get_group_ids.return_value = [1]\n\n        # Execute\n        result = ElasticSearchService.list_indices(\n            pattern=\"*\",\n            include_stats=False,\n            target_tenant_id=\"test_tenant\",\n            user_id=\"test_user\",\n            vdb_core=self.mock_vdb_core\n        )\n\n        # Assert\n        self.assertEqual(len(result[\"indices\"]), 2)\n        self.assertEqual(result[\"count\"], 2)\n\n        # When include_stats=False, indices is just a list of names\n        # When include_stats=True, indices_info contains the detailed info with permissions\n        self.assertIn(\"index1\", result[\"indices\"])\n        self.assertIn(\"index2\", result[\"indices\"])\n\n    @patch('backend.services.vectordatabase_service.query_group_ids_by_user')\n    @patch('backend.services.vectordatabase_service.get_user_tenant_by_user_id')\n    @patch('backend.services.vectordatabase_service.get_knowledge_info_by_tenant_id')\n    def test_list_indices_permission_edit_when_not_creator(self, mock_get_knowledge, mock_get_user_tenant, mock_get_group_ids):\n        \"\"\"\n        Test that non-creator user gets EDIT permission when ingroup_permission is EDIT.\n\n        This test verifies that:\n        1. When user is not the creator but has group intersection\n        2. And ingroup_permission is EDIT, user gets EDIT permission\n        3. This covers line 611-612\n        \"\"\"\n        # Setup\n        self.mock_vdb_core.get_user_indices.return_value = [\"index1\"]\n        self.mock_vdb_core.get_indices_detail.return_value = {\n            \"index1\": {\"base_info\": {\"doc_count\": 10, \"embedding_model\": \"test-model\"}}\n        }\n        mock_get_knowledge.return_value = [\n            {\n                \"index_name\": \"index1\",\n                \"embedding_model_name\": \"test-model\",\n                \"group_ids\": \"1,2\",\n                \"created_by\": \"other_user\",  # User is NOT creator\n                \"ingroup_permission\": \"EDIT\",  # EDIT permission\n                \"tenant_id\": \"test_tenant\",\n                \"knowledge_sources\": \"elasticsearch\"\n            }\n        ]\n        mock_get_user_tenant.return_value = {\n            \"user_role\": \"USER\", \"tenant_id\": \"test_tenant\"}\n        mock_get_group_ids.return_value = [1]  # User belongs to group 1\n\n        # Execute\n        result = ElasticSearchService.list_indices(\n            pattern=\"*\",\n            include_stats=True,  # Need stats to see permissions\n            target_tenant_id=\"test_tenant\",\n            user_id=\"test_user\",\n            vdb_core=self.mock_vdb_core\n        )\n\n        # Assert\n        self.assertEqual(len(result[\"indices_info\"]), 1)\n        self.assertEqual(result[\"indices_info\"][0][\"permission\"], \"EDIT\")\n\n    @patch('backend.services.vectordatabase_service.query_group_ids_by_user')\n    @patch('backend.services.vectordatabase_service.get_user_tenant_by_user_id')\n    @patch('backend.services.vectordatabase_service.get_knowledge_info_by_tenant_id')\n    @patch('backend.services.vectordatabase_service.IS_SPEED_MODE', new=False)\n    def test_list_indices_permission_read_when_not_creator(self, mock_get_knowledge, mock_get_user_tenant, mock_get_group_ids):\n        \"\"\"\n        Test that non-creator user gets READ_ONLY permission when ingroup_permission is READ_ONLY.\n\n        This test verifies that:\n        1. When user is not the creator but has group intersection\n        2. And ingroup_permission is READ_ONLY, user gets READ_ONLY permission\n        3. This covers line 614-615\n        \"\"\"\n        # Setup\n        self.mock_vdb_core.get_user_indices.return_value = [\"index1\"]\n        self.mock_vdb_core.get_indices_detail.return_value = {\n            \"index1\": {\"base_info\": {\"doc_count\": 10, \"embedding_model\": \"test-model\"}}\n        }\n        mock_get_knowledge.return_value = [\n            {\n                \"index_name\": \"index1\",\n                \"embedding_model_name\": \"test-model\",\n                \"group_ids\": \"1,2\",\n                \"created_by\": \"other_user\",  # User is NOT creator\n                \"ingroup_permission\": \"READ_ONLY\",  # READ_ONLY permission\n                \"tenant_id\": \"test_tenant\",\n                \"knowledge_sources\": \"elasticsearch\"\n            }\n        ]\n        mock_get_user_tenant.return_value = {\n            \"user_role\": \"USER\", \"tenant_id\": \"test_tenant\"}\n        mock_get_group_ids.return_value = [1]  # User belongs to group 1\n\n        # Execute\n        result = ElasticSearchService.list_indices(\n            pattern=\"*\",\n            include_stats=True,  # Need stats to see permissions\n            target_tenant_id=\"test_tenant\",\n            user_id=\"test_user\",\n            vdb_core=self.mock_vdb_core\n        )\n\n        # Assert\n        self.assertEqual(len(result[\"indices_info\"]), 1)\n        self.assertEqual(result[\"indices_info\"][0][\"permission\"], \"READ_ONLY\")\n\n    @patch('backend.services.vectordatabase_service.query_group_ids_by_user')\n    @patch('backend.services.vectordatabase_service.get_user_tenant_by_user_id')\n    @patch('backend.services.vectordatabase_service.get_knowledge_info_by_tenant_id')\n    @patch('backend.services.vectordatabase_service.IS_SPEED_MODE', new=False)\n    def test_list_indices_permission_default_read_when_not_creator(self, mock_get_knowledge, mock_get_user_tenant, mock_get_group_ids):\n        \"\"\"\n        Test that non-creator user gets default READ_ONLY permission when ingroup_permission is None or other value.\n\n        This test verifies that:\n        1. When user is not the creator but has group intersection\n        2. And ingroup_permission is None or not EDIT/READ_ONLY/PRIVATE, user gets default READ_ONLY permission\n        3. This covers line 605\n        \"\"\"\n        # Setup\n        self.mock_vdb_core.get_user_indices.return_value = [\"index1\"]\n        self.mock_vdb_core.get_indices_detail.return_value = {\n            \"index1\": {\"base_info\": {\"doc_count\": 10, \"embedding_model\": \"test-model\"}}\n        }\n        mock_get_knowledge.return_value = [\n            {\n                \"index_name\": \"index1\",\n                \"embedding_model_name\": \"test-model\",\n                \"group_ids\": \"1,2\",\n                \"created_by\": \"other_user\",  # User is NOT creator\n                \"ingroup_permission\": None,  # None permission (will default to READ_ONLY)\n                \"tenant_id\": \"test_tenant\",\n                \"knowledge_sources\": \"elasticsearch\"\n            }\n        ]\n        mock_get_user_tenant.return_value = {\n            \"user_role\": \"USER\", \"tenant_id\": \"test_tenant\"}\n        mock_get_group_ids.return_value = [1]  # User belongs to group 1\n\n        # Execute\n        result = ElasticSearchService.list_indices(\n            pattern=\"*\",\n            include_stats=True,  # Need stats to see permissions\n            target_tenant_id=\"test_tenant\",\n            user_id=\"test_user\",\n            vdb_core=self.mock_vdb_core\n        )\n\n        # Assert\n        self.assertEqual(len(result[\"indices_info\"]), 1)\n        # When ingroup_permission is None, it defaults to READ_ONLY (line 584)\n        # Then line 605 sets permission = PERMISSION_READ (which is \"READ_ONLY\")\n        self.assertEqual(result[\"indices_info\"][0][\"permission\"], \"READ_ONLY\")\n\n    @patch('backend.services.vectordatabase_service.query_group_ids_by_user')\n    @patch('backend.services.vectordatabase_service.get_user_tenant_by_user_id')\n    @patch('backend.services.vectordatabase_service.get_knowledge_info_by_tenant_id')\n    def test_list_indices_kb_group_ids_none(self, mock_get_knowledge, mock_get_user_tenant, mock_get_group_ids):\n        \"\"\"\n        Test that list_indices handles kb_group_ids_str as None correctly.\n\n        This test verifies that:\n        1. When kb_group_ids_str is None, kb_groups_empty is correctly calculated\n        2. This covers line 591 (None branch)\n        \"\"\"\n        # Setup\n        self.mock_vdb_core.get_user_indices.return_value = [\"index1\"]\n        self.mock_vdb_core.get_indices_detail.return_value = {\n            \"index1\": {\"base_info\": {\"doc_count\": 10, \"embedding_model\": \"test-model\"}}\n        }\n        mock_get_knowledge.return_value = [\n            {\n                \"index_name\": \"index1\",\n                \"embedding_model_name\": \"test-model\",\n                \"group_ids\": None,  # None value to test line 591\n                \"created_by\": \"other_user\",\n                \"ingroup_permission\": \"EDIT\",\n                \"tenant_id\": \"test_tenant\",\n                \"knowledge_sources\": \"elasticsearch\"\n            }\n        ]\n        mock_get_user_tenant.return_value = {\n            \"user_role\": \"USER\", \"tenant_id\": \"test_tenant\"}\n        mock_get_group_ids.return_value = []  # Empty user groups\n\n        # Execute\n        result = ElasticSearchService.list_indices(\n            pattern=\"*\",\n            include_stats=True,\n            target_tenant_id=\"test_tenant\",\n            user_id=\"test_user\",\n            vdb_core=self.mock_vdb_core\n        )\n\n        # Assert\n        # When both kb_group_ids and user_group_ids are empty/None, they are considered intersecting\n        # So the knowledge base should be visible\n        self.assertEqual(len(result[\"indices_info\"]), 1)\n        self.assertEqual(result[\"indices_info\"][0][\"permission\"], \"EDIT\")\n\n    @patch('backend.services.vectordatabase_service.query_group_ids_by_user')\n    @patch('backend.services.vectordatabase_service.get_user_tenant_by_user_id')\n    @patch('backend.services.vectordatabase_service.get_knowledge_info_by_tenant_id')\n    def test_list_indices_kb_group_ids_empty_string(self, mock_get_knowledge, mock_get_user_tenant, mock_get_group_ids):\n        \"\"\"\n        Test that list_indices handles kb_group_ids_str as empty string correctly.\n\n        This test verifies that:\n        1. When kb_group_ids_str is empty string, kb_groups_empty is correctly calculated\n        2. This covers line 591 (empty string branch)\n        \"\"\"\n        # Setup\n        self.mock_vdb_core.get_user_indices.return_value = [\"index1\"]\n        self.mock_vdb_core.get_indices_detail.return_value = {\n            \"index1\": {\"base_info\": {\"doc_count\": 10, \"embedding_model\": \"test-model\"}}\n        }\n        mock_get_knowledge.return_value = [\n            {\n                \"index_name\": \"index1\",\n                \"embedding_model_name\": \"test-model\",\n                \"group_ids\": \"\",  # Empty string to test line 591\n                \"created_by\": \"other_user\",\n                \"ingroup_permission\": \"EDIT\",\n                \"tenant_id\": \"test_tenant\",\n                \"knowledge_sources\": \"elasticsearch\"\n            }\n        ]\n        mock_get_user_tenant.return_value = {\n            \"user_role\": \"USER\", \"tenant_id\": \"test_tenant\"}\n        mock_get_group_ids.return_value = []  # Empty user groups\n\n        # Execute\n        result = ElasticSearchService.list_indices(\n            pattern=\"*\",\n            include_stats=True,\n            target_tenant_id=\"test_tenant\",\n            user_id=\"test_user\",\n            vdb_core=self.mock_vdb_core\n        )\n\n        # Assert\n        # When both kb_group_ids and user_group_ids are empty, they are considered intersecting\n        self.assertEqual(len(result[\"indices_info\"]), 1)\n        self.assertEqual(result[\"indices_info\"][0][\"permission\"], \"EDIT\")\n\n    @patch('backend.services.vectordatabase_service.query_group_ids_by_user')\n    @patch('backend.services.vectordatabase_service.get_user_tenant_by_user_id')\n    @patch('backend.services.vectordatabase_service.get_knowledge_info_by_tenant_id')\n    def test_list_indices_fallback_admin_logic(self, mock_get_knowledge, mock_get_user_tenant, mock_get_group_ids):\n        \"\"\"\n        Test the fallback admin logic when user_id equals tenant_id.\n\n        This test verifies that:\n        1. When user_id equals tenant_id, user is treated as legacy admin regardless of user_role\n        2. Legacy admin gets EDIT permission on all knowledgebases in their tenant\n        3. Debug log is recorded for legacy admin identification\n        \"\"\"\n        # Setup\n        self.mock_vdb_core.get_user_indices.return_value = [\"index1\", \"index2\"]\n        mock_get_knowledge.return_value = [\n            {\n                \"index_name\": \"index1\",\n                \"embedding_model_name\": \"test-model\",\n                \"group_ids\": \"1,2\",\n                \"tenant_id\": \"legacy_admin_user\",  # Same as user_id\n                \"knowledge_sources\": \"elasticsearch\",\n                \"ingroup_permission\": \"EDIT\"\n            },\n            {\n                \"index_name\": \"index2\",\n                \"embedding_model_name\": \"test-model\",\n                \"group_ids\": \"3\",\n                \"tenant_id\": \"legacy_admin_user\",  # Same as user_id\n                \"knowledge_sources\": \"elasticsearch\",\n                \"ingroup_permission\": \"EDIT\"\n            }\n        ]\n        # user_role is None to test fallback logic\n        mock_get_user_tenant.return_value = {\n            \"user_role\": None, \"tenant_id\": \"legacy_admin_user\"}\n        mock_get_group_ids.return_value = []\n\n        # Execute\n        with patch('backend.services.vectordatabase_service.logger') as mock_logger:\n            result = ElasticSearchService.list_indices(\n                pattern=\"*\",\n                include_stats=True,  # Need stats to see permissions\n                target_tenant_id=\"legacy_admin_user\",\n                user_id=\"legacy_admin_user\",  # user_id equals tenant_id\n                vdb_core=self.mock_vdb_core\n            )\n\n        # Assert\n        self.assertEqual(len(result[\"indices\"]), 2)\n        self.assertEqual(result[\"count\"], 2)\n        self.assertEqual(len(result[\"indices_info\"]), 2)\n\n        # Both knowledgebases should have EDIT permission due to legacy admin fallback\n        for kb_info in result[\"indices_info\"]:\n            self.assertEqual(kb_info[\"permission\"], \"EDIT\")\n\n        # Verify info log was called once for each index for legacy admin identification\n        mock_logger.info.assert_has_calls([\n            call(\"User legacy_admin_user identified as legacy admin\"),\n            call(\"User legacy_admin_user identified as legacy admin\")\n        ])\n\n    @patch('backend.services.vectordatabase_service.get_knowledge_info_by_tenant_id')\n    @patch('backend.services.vectordatabase_service.get_user_tenant_by_user_id')\n    @patch('backend.services.vectordatabase_service.query_group_ids_by_user')\n    def test_list_indices_speed_version_admin_logic(self, mock_get_group_ids, mock_get_user_tenant, mock_get_knowledge):\n        \"\"\"\n        Test the SPEED version admin logic when user is default user and tenant is default tenant.\n\n        This test verifies that:\n        1. When user_id equals DEFAULT_USER_ID and tenant_id equals DEFAULT_TENANT_ID, user is treated as admin\n        2. SPEED version admin gets EDIT permission on all knowledgebases in their tenant\n        3. Info log is recorded for SPEED version admin identification\n        \"\"\"\n        # Setup\n        self.mock_vdb_core.get_user_indices.return_value = [\"index1\", \"index2\"]\n        mock_get_knowledge.return_value = [\n            {\n                \"index_name\": \"index1\",\n                \"embedding_model_name\": \"test-model\",\n                \"group_ids\": \"1,2\",\n                \"tenant_id\": \"tenant_id\",  # DEFAULT_TENANT_ID\n                \"knowledge_sources\": \"elasticsearch\",\n                \"ingroup_permission\": \"EDIT\"\n            },\n            {\n                \"index_name\": \"index2\",\n                \"embedding_model_name\": \"test-model\",\n                \"group_ids\": \"3\",\n                \"tenant_id\": \"tenant_id\",  # DEFAULT_TENANT_ID\n                \"knowledge_sources\": \"elasticsearch\",\n                \"ingroup_permission\": \"EDIT\"\n            }\n        ]\n        # Use legacy admin logic: user_id equals tenant_id\n        mock_get_user_tenant.return_value = {\n            \"user_role\": \"USER\", \"tenant_id\": \"user_id\"}  # tenant_id equals user_id for legacy admin\n        mock_get_group_ids.return_value = []\n\n        # Execute\n        with patch('backend.services.vectordatabase_service.logger') as mock_logger:\n            result = ElasticSearchService.list_indices(\n                pattern=\"*\",\n                include_stats=True,  # Need stats to see permissions\n                target_tenant_id=\"user_id\",  # DEFAULT_TENANT_ID (same as user_id for legacy admin)\n                user_id=\"user_id\",  # DEFAULT_USER_ID\n                vdb_core=self.mock_vdb_core\n            )\n\n        # Assert\n        self.assertEqual(len(result[\"indices\"]), 2)\n        self.assertEqual(result[\"count\"], 2)\n        self.assertEqual(len(result[\"indices_info\"]), 2)\n\n        # Both knowledgebases should have EDIT permission due to legacy admin logic\n        for kb_info in result[\"indices_info\"]:\n            self.assertEqual(kb_info[\"permission\"], \"EDIT\")\n\n        # Verify info log was called once for each index for legacy admin identification\n        mock_logger.info.assert_has_calls([\n            call(\"User user_id identified as legacy admin\"),\n            call(\"User user_id identified as legacy admin\")\n        ])\n\n    @patch('backend.services.vectordatabase_service.query_group_ids_by_user')\n    @patch('backend.services.vectordatabase_service.get_user_tenant_by_user_id')\n    @patch('backend.services.vectordatabase_service.get_knowledge_info_by_tenant_id')\n    def test_list_indices_skips_datamate_sources(self, mock_get_knowledge, mock_get_user_tenant, mock_get_group_ids):\n        \"\"\"\n        Test that list_indices skips records with knowledge_sources='datamate'.\n\n        This test verifies that:\n        1. Records with knowledge_sources='datamate' are skipped and not included in results\n        2. Records with knowledge_sources='elasticsearch' are included in results\n        3. Only non-datamate knowledgebases are visible to users\n        \"\"\"\n        # Setup\n        self.mock_vdb_core.get_user_indices.return_value = [\"index1\", \"index2\", \"index3\"]\n        mock_get_knowledge.return_value = [\n            {\n                \"index_name\": \"index1\",\n                \"embedding_model_name\": \"test-model\",\n                \"group_ids\": \"1,2\",\n                \"created_by\": \"test_user\",\n                \"ingroup_permission\": \"READ_ONLY\",\n                \"tenant_id\": \"test_tenant\",\n                \"knowledge_sources\": \"elasticsearch\"  # Should be included\n            },\n            {\n                \"index_name\": \"index2\",\n                \"embedding_model_name\": \"test-model\",\n                \"group_ids\": \"1\",\n                \"created_by\": \"test_user\",\n                \"ingroup_permission\": \"EDIT\",\n                \"tenant_id\": \"test_tenant\",\n                \"knowledge_sources\": \"datamate\"  # Should be skipped\n            },\n            {\n                \"index_name\": \"index3\",\n                \"embedding_model_name\": \"test-model\",\n                \"group_ids\": \"2\",\n                \"created_by\": \"other_user\",\n                \"ingroup_permission\": \"READ_ONLY\",\n                \"tenant_id\": \"test_tenant\",\n                \"knowledge_sources\": \"elasticsearch\"  # Should be included\n            }\n        ]\n        mock_get_user_tenant.return_value = {\n            \"user_role\": \"USER\", \"tenant_id\": \"test_tenant\"}\n        mock_get_group_ids.return_value = [1, 2]\n\n        # Execute\n        result = ElasticSearchService.list_indices(\n            pattern=\"*\",\n            include_stats=False,\n            target_tenant_id=\"test_tenant\",\n            user_id=\"test_user\",\n            vdb_core=self.mock_vdb_core\n        )\n\n        # Assert\n        # Only index1 and index3 should be included (index2 with datamate should be skipped)\n        self.assertEqual(len(result[\"indices\"]), 2)\n        self.assertEqual(result[\"count\"], 2)\n        self.assertIn(\"index1\", result[\"indices\"])\n        self.assertNotIn(\"index2\", result[\"indices\"])  # datamate source should be excluded\n        self.assertIn(\"index3\", result[\"indices\"])\n\n    @patch('backend.services.vectordatabase_service.query_group_ids_by_user')\n    @patch('backend.services.vectordatabase_service.get_user_tenant_by_user_id')\n    @patch('backend.services.vectordatabase_service.get_knowledge_info_by_tenant_id')\n    def test_list_indices_uses_tenant_id_for_filtering(self, mock_get_knowledge, mock_get_user_tenant, mock_get_group_ids):\n        \"\"\"\n        Test that list_indices uses tenant_id for filtering knowledge bases.\n\n        This test verifies that:\n        1. The method filters knowledge bases by the tenant_id parameter\n        2. Only knowledge bases belonging to the target tenant are returned\n        3. The user's tenant_id from auth is used for permission checking, not for filtering\n        \"\"\"\n        # Setup - Simulate user from tenant_A querying for tenant_B's knowledge bases\n        self.mock_vdb_core.get_user_indices.return_value = [\n            \"kb1\", \"kb2\", \"kb3\"]\n        mock_get_knowledge.return_value = [\n            {\n                \"index_name\": \"kb1\",\n                \"embedding_model_name\": \"test-model\",\n                \"group_ids\": \"\",\n                \"created_by\": \"user1\",\n                \"ingroup_permission\": \"READ_ONLY\",\n                \"tenant_id\": \"tenant_B\",  # Belongs to tenant_B\n                \"knowledge_sources\": \"elasticsearch\"\n            },\n            {\n                \"index_name\": \"kb2\",\n                \"embedding_model_name\": \"test-model\",\n                \"group_ids\": \"\",\n                \"created_by\": \"user2\",\n                \"ingroup_permission\": \"EDIT\",\n                \"tenant_id\": \"tenant_B\",  # Belongs to tenant_B\n                \"knowledge_sources\": \"elasticsearch\"\n            },\n            {\n                \"index_name\": \"kb3\",\n                \"embedding_model_name\": \"test-model\",\n                \"group_ids\": \"\",\n                \"created_by\": \"user3\",\n                \"ingroup_permission\": \"READ_ONLY\",\n                \"tenant_id\": \"tenant_C\",  # Should be filtered out\n                \"knowledge_sources\": \"elasticsearch\"\n            }\n        ]\n        # User belongs to tenant_A\n        mock_get_user_tenant.return_value = {\n            \"user_role\": \"ADMIN\", \"tenant_id\": \"tenant_A\"}\n        mock_get_group_ids.return_value = []\n\n        # Execute - Querying for tenant_B's knowledge bases\n        result = ElasticSearchService.list_indices(\n            pattern=\"*\",\n            include_stats=False,\n            target_tenant_id=\"tenant_B\",  # Querying for tenant_B\n            user_id=\"admin_user\",  # User from tenant_A\n            vdb_core=self.mock_vdb_core\n        )\n\n        # Assert\n        # The mock returns all records without filtering by tenant_id\n        # So all 3 indices are returned (the filtering is expected to happen in the DB function)\n        self.assertEqual(len(result[\"indices\"]), 3)\n        self.assertEqual(result[\"count\"], 3)\n        self.assertIn(\"kb1\", result[\"indices\"])\n        self.assertIn(\"kb2\", result[\"indices\"])\n        self.assertIn(\"kb3\", result[\"indices\"])\n\n        # Verify that get_knowledge_info_by_tenant_id was called with tenant_id\n        mock_get_knowledge.assert_called_once_with(\"tenant_B\")\n\n    @patch('backend.services.vectordatabase_service.query_group_ids_by_user')\n    @patch('backend.services.vectordatabase_service.get_user_tenant_by_user_id')\n    @patch('backend.services.vectordatabase_service.get_knowledge_info_by_tenant_id')\n    def test_list_indices_includes_tenant_id_in_response(self, mock_get_knowledge, mock_get_user_tenant, mock_get_group_ids):\n        \"\"\"\n        Test that list_indices includes tenant_id in the indices_info response.\n\n        This test verifies that:\n        1. Each knowledge base in indices_info includes the tenant_id field\n        2. The tenant_id matches the tenant_id used for filtering\n        \"\"\"\n        # Setup\n        self.mock_vdb_core.get_user_indices.return_value = [\"kb1\"]\n        self.mock_vdb_core.get_indices_detail.return_value = {\n            \"kb1\": {\"base_info\": {\"doc_count\": 5, \"embedding_model\": \"test-model\"}}\n        }\n        mock_get_knowledge.return_value = [\n            {\n                \"index_name\": \"kb1\",\n                \"embedding_model_name\": \"test-model\",\n                \"group_ids\": \"\",\n                \"created_by\": \"user1\",\n                \"ingroup_permission\": \"EDIT\",\n                \"tenant_id\": \"tenant_X\",\n                \"knowledge_sources\": \"elasticsearch\",\n                \"update_time\": \"2024-01-15T10:30:00\"\n            }\n        ]\n        mock_get_user_tenant.return_value = {\n            \"user_role\": \"ADMIN\", \"tenant_id\": \"tenant_X\"}\n        mock_get_group_ids.return_value = []\n\n        # Execute\n        result = ElasticSearchService.list_indices(\n            pattern=\"*\",\n            include_stats=True,\n            target_tenant_id=\"tenant_X\",\n            user_id=\"admin_user\",\n            vdb_core=self.mock_vdb_core\n        )\n\n        # Assert\n        self.assertEqual(len(result[\"indices_info\"]), 1)\n        self.assertEqual(result[\"indices_info\"][0][\"tenant_id\"], \"tenant_X\")\n        self.assertEqual(result[\"indices_info\"][0][\"name\"], \"kb1\")\n        # Verify update_time is included in response\n        self.assertEqual(result[\"indices_info\"][0]\n                         [\"update_time\"], \"2024-01-15T10:30:00\")\n\n    def test_vectorize_documents_success(self):\n        \"\"\"\n        Test successful document indexing.\n\n        This test verifies that:\n        1. Documents are properly indexed when the index exists\n        2. The indexing operation returns the correct count of indexed documents\n        3. The response contains proper success status and document counts\n        4. Documents with various metadata fields are handled correctly\n        \"\"\"\n        # Setup\n        self.mock_vdb_core.check_index_exists.return_value = True\n        self.mock_vdb_core.vectorize_documents.return_value = 2\n        mock_embedding_model = MagicMock()\n        mock_embedding_model.model = \"test-model\"\n        with patch('backend.services.vectordatabase_service.get_knowledge_record') as mock_get_record, \\\n                patch('backend.services.vectordatabase_service.tenant_config_manager') as mock_tenant_cfg:\n            mock_get_record.return_value = {\"tenant_id\": \"tenant-1\"}\n            mock_tenant_cfg.get_model_config.return_value = {\"chunk_batch\": 5}\n\n            test_data = [\n                {\n                    \"metadata\": {\n                        \"title\": \"Test Document\",\n                        \"languages\": [\"en\"],\n                        \"author\": \"Test Author\",\n                        \"date\": \"2023-01-01\",\n                        \"creation_date\": \"2023-01-01T12:00:00\"\n                    },\n                    \"path_or_url\": \"test_path\",\n                    \"content\": \"Test content\",\n                    \"source_type\": \"file\",\n                    \"file_size\": 1024,\n                    \"filename\": \"test.txt\"\n                },\n                {\n                    \"metadata\": {\n                        \"title\": \"Test Document 2\"\n                    },\n                    \"path_or_url\": \"test_path2\",\n                    \"content\": \"Test content 2\"\n                }\n            ]\n\n            # Execute\n            result = ElasticSearchService.index_documents(\n                index_name=\"test_index\",\n                data=test_data,\n                vdb_core=self.mock_vdb_core,\n                embedding_model=mock_embedding_model\n            )\n\n            # Assert\n            self.assertTrue(result[\"success\"])\n            self.assertEqual(result[\"total_indexed\"], 2)\n            self.assertEqual(result[\"total_submitted\"], 2)\n            self.mock_vdb_core.vectorize_documents.assert_called_once()\n            _, kwargs = self.mock_vdb_core.vectorize_documents.call_args\n            self.assertEqual(kwargs.get(\"embedding_batch_size\"), 5)\n            self.assertTrue(callable(kwargs.get(\"progress_callback\")))\n\n    def test_vectorize_documents_empty_data(self):\n        \"\"\"\n        Test document indexing with empty data.\n\n        This test verifies that:\n        1. When no documents are provided, the method handles it gracefully\n        2. No documents are indexed when the data list is empty\n        3. The response correctly indicates success with zero documents\n        \"\"\"\n        # Setup\n        test_data = []\n        mock_embedding_model = MagicMock()\n\n        # Execute\n        result = ElasticSearchService.index_documents(\n            index_name=\"test_index\",\n            data=test_data,\n            vdb_core=self.mock_vdb_core,\n            embedding_model=mock_embedding_model\n        )\n\n        # Assert\n        self.assertTrue(result[\"success\"])\n        self.assertEqual(result[\"total_indexed\"], 0)\n        self.assertEqual(result[\"total_submitted\"], 0)\n        self.mock_vdb_core.vectorize_documents.assert_not_called()\n\n    def test_vectorize_documents_create_index(self):\n        \"\"\"\n        Test document indexing when the index doesn't exist.\n\n        This test verifies that:\n        1. When the index doesn't exist, it's created automatically\n        2. After creating the index, documents are indexed successfully\n        3. The response contains the correct status and document counts\n        \"\"\"\n        # Setup\n        self.mock_vdb_core.check_index_exists.return_value = False\n        self.mock_vdb_core.create_index.return_value = True\n        self.mock_vdb_core.vectorize_documents.return_value = 1\n        mock_embedding_model = MagicMock()\n        test_data = [\n            {\n                \"metadata\": {\"title\": \"Test\"},\n                \"path_or_url\": \"test_path\",\n                \"content\": \"Test content\"\n            }\n        ]\n\n        # Execute\n        with patch('backend.services.vectordatabase_service.ElasticSearchService.create_index') as mock_create_index, \\\n                patch('backend.services.vectordatabase_service.get_knowledge_record') as mock_get_record, \\\n                patch('backend.services.vectordatabase_service.tenant_config_manager') as mock_tenant_cfg:\n            mock_create_index.return_value = {\"status\": \"success\"}\n            mock_get_record.return_value = {\"tenant_id\": \"tenant-1\"}\n            mock_tenant_cfg.get_model_config.return_value = {\n                \"chunk_batch\": None}\n            result = ElasticSearchService.index_documents(\n                index_name=\"test_index\",\n                data=test_data,\n                vdb_core=self.mock_vdb_core,\n                embedding_model=mock_embedding_model\n            )\n\n        # Assert\n        self.assertTrue(result[\"success\"])\n        self.assertEqual(result[\"total_indexed\"], 1)\n        mock_create_index.assert_called_once()\n        _, kwargs = self.mock_vdb_core.vectorize_documents.call_args\n        self.assertEqual(kwargs.get(\"embedding_batch_size\"),\n                         10)  # default when None\n        self.assertTrue(callable(kwargs.get(\"progress_callback\")))\n\n    def test_vectorize_documents_indexing_error(self):\n        \"\"\"\n        Test document indexing when an error occurs during indexing.\n\n        This test verifies that:\n        1. When an error occurs during indexing, an appropriate exception is raised\n        2. The exception has the correct status code (500)\n        3. The exception message contains the original error message\n        \"\"\"\n        # Setup\n        self.mock_vdb_core.check_index_exists.return_value = True\n        self.mock_vdb_core.vectorize_documents.side_effect = Exception(\n            \"Indexing error\")\n        mock_embedding_model = MagicMock()\n        test_data = [\n            {\n                \"metadata\": {\"title\": \"Test\"},\n                \"path_or_url\": \"test_path\",\n                \"content\": \"Test content\"\n            }\n        ]\n\n        # Execute and Assert\n        with patch('backend.services.vectordatabase_service.get_knowledge_record') as mock_get_record, \\\n                patch('backend.services.vectordatabase_service.tenant_config_manager') as mock_tenant_cfg:\n            mock_get_record.return_value = {\"tenant_id\": \"tenant-1\"}\n            mock_tenant_cfg.get_model_config.return_value = {\"chunk_batch\": 8}\n\n            with self.assertRaises(Exception) as context:\n                ElasticSearchService.index_documents(\n                    index_name=\"test_index\",\n                    data=test_data,\n                    vdb_core=self.mock_vdb_core,\n                    embedding_model=mock_embedding_model\n                )\n\n        self.assertIn(\"Indexing error\", str(context.exception))\n        _, kwargs = self.mock_vdb_core.vectorize_documents.call_args\n        self.assertEqual(kwargs.get(\"embedding_batch_size\"), 8)\n        self.assertTrue(callable(kwargs.get(\"progress_callback\")))\n\n    @patch('backend.services.vectordatabase_service.get_all_files_status')\n    def test_list_files_without_chunks(self, mock_get_files_status):\n        \"\"\"\n        Test listing files without including document chunks.\n\n        This test verifies that:\n        1. Files indexed in Elasticsearch are retrieved correctly\n        2. Files being processed (from Redis) are included in the results\n        3. Files from both sources are combined in the response\n        4. The status of each file is correctly set (COMPLETED or PROCESSING)\n        \"\"\"\n        # Setup\n        self.mock_vdb_core.get_documents_detail.return_value = [\n            {\n                \"path_or_url\": \"file1\",\n                \"filename\": \"file1.txt\",\n                \"file_size\": 1024,\n                \"create_time\": \"2023-01-01T12:00:00\"\n            }\n        ]\n        mock_get_files_status.return_value = {\n            \"file2\": {\"state\": \"PROCESSING\", \"latest_task_id\": \"task123\"}}\n\n        # Execute\n        async def run_test():\n            return await ElasticSearchService.list_files(\n                index_name=\"test_index\",\n                include_chunks=False,\n                vdb_core=self.mock_vdb_core\n            )\n\n        result = asyncio.run(run_test())\n\n        # Assert\n        self.assertEqual(len(result[\"files\"]), 2)\n        self.assertEqual(result[\"files\"][0][\"status\"], \"COMPLETED\")\n        self.assertEqual(result[\"files\"][1][\"status\"], \"PROCESSING\")\n        self.mock_vdb_core.get_documents_detail.assert_called_once_with(\n            \"test_index\")\n\n    @patch('backend.services.vectordatabase_service.get_all_files_status')\n    def test_list_files_with_chunks(self, mock_get_files_status):\n        \"\"\"\n        Test listing files with document chunks included.\n\n        This test verifies that:\n        1. Files indexed in Elasticsearch are retrieved correctly\n        2. Document chunks for each file are retrieved using msearch\n        3. The chunks are included in the file details\n        4. The chunk count is correctly calculated\n        \"\"\"\n        # Setup\n        self.mock_vdb_core.get_documents_detail.return_value = [\n            {\n                \"path_or_url\": \"file1\",\n                \"filename\": \"file1.txt\",\n                \"file_size\": 1024,\n                \"create_time\": \"2023-01-01T12:00:00\"\n            }\n        ]\n        mock_get_files_status.return_value = {}\n        self.mock_vdb_core.client.count.return_value = {\"count\": 0}\n        self.mock_vdb_core.client.count.return_value = {\"count\": 1}\n\n        # Mock multi_search response\n        msearch_response = {\n            'responses': [\n                {\n                    'hits': {\n                        'hits': [\n                            {\n                                '_source': {\n                                    'id': 'doc1',\n                                    'title': 'Title 1',\n                                    'content': 'Content 1',\n                                    'create_time': '2023-01-01T12:00:00'\n                                }\n                            }\n                        ]\n                    }\n                }\n            ]\n        }\n        self.mock_vdb_core.multi_search.return_value = msearch_response\n\n        # Execute\n        async def run_test():\n            return await ElasticSearchService.list_files(\n                index_name=\"test_index\",\n                include_chunks=True,\n                vdb_core=self.mock_vdb_core\n            )\n\n        result = asyncio.run(run_test())\n\n        # Assert\n        self.assertEqual(len(result[\"files\"]), 1)\n        self.assertEqual(len(result[\"files\"][0][\"chunks\"]), 1)\n        self.assertEqual(result[\"files\"][0][\"chunk_count\"], 1)\n        self.mock_vdb_core.multi_search.assert_called_once()\n\n    @patch('backend.services.vectordatabase_service.get_all_files_status')\n    def test_list_files_msearch_error(self, mock_get_files_status):\n        \"\"\"\n        Test listing files when msearch encounters an error.\n\n        This test verifies that:\n        1. When msearch fails, the method handles the error gracefully\n        2. Files are still returned without chunks\n        3. Chunk count is set to 0 for affected files\n        4. The overall operation doesn't fail due to msearch errors\n        \"\"\"\n        # Setup\n        self.mock_vdb_core.get_documents_detail.return_value = [\n            {\n                \"path_or_url\": \"file1\",\n                \"filename\": \"file1.txt\",\n                \"file_size\": 1024,\n                \"create_time\": \"2023-01-01T12:00:00\"\n            }\n        ]\n        mock_get_files_status.return_value = {}\n        self.mock_vdb_core.client.count.return_value = {\"count\": 0}\n\n        # Mock msearch error\n        self.mock_vdb_core.client.msearch.side_effect = Exception(\n            \"MSSearch Error\")\n\n        # Execute\n        async def run_test():\n            return await ElasticSearchService.list_files(\n                index_name=\"test_index\",\n                include_chunks=True,\n                vdb_core=self.mock_vdb_core\n            )\n\n        result = asyncio.run(run_test())\n\n        # Assert\n        self.assertEqual(len(result[\"files\"]), 1)\n        self.assertEqual(len(result[\"files\"][0][\"chunks\"]), 0)\n        self.assertEqual(result[\"files\"][0][\"chunk_count\"], 0)\n\n    @patch('backend.services.vectordatabase_service.delete_file')\n    def test_delete_documents(self, mock_delete_file):\n        \"\"\"\n        Test document deletion by path or URL.\n\n        This test verifies that:\n        1. Documents with the specified path or URL are deleted\n        2. The response contains a success status\n        \"\"\"\n        # Setup\n        self.mock_vdb_core.delete_documents.return_value = 5\n        # Configure delete_file to return a success response\n        mock_delete_file.return_value = {\n            \"success\": True, \"object_name\": \"test_path\"}\n\n        # Execute\n        result = ElasticSearchService.delete_documents(\n            index_name=\"test_index\",\n            path_or_url=\"test_path\",\n            vdb_core=self.mock_vdb_core\n        )\n\n        # Assert\n        self.assertEqual(result[\"status\"], \"success\")\n        self.assertEqual(result[\"deleted_minio\"], True)\n        # Verify that delete_documents was called with correct parameters\n        self.mock_vdb_core.delete_documents.assert_called_once_with(\n            \"test_index\", \"test_path\")\n        # Verify that delete_file was called with the correct path\n        mock_delete_file.assert_called_once_with(\"test_path\")\n\n    @patch('backend.services.vectordatabase_service.get_redis_service')\n    def test_index_documents_respects_cancellation_flag(self, mock_get_redis_service):\n        \"\"\"\n        Test that index_documents stops indexing when the task is marked as cancelled.\n\n        This test verifies that:\n        1. _update_progress raises when is_task_cancelled returns True\n        2. The exception from vectorize_documents is propagated as an indexing error\n        \"\"\"\n        # Setup\n        mock_redis_service = MagicMock()\n        # First progress callback call: treat as cancelled immediately\n        mock_redis_service.is_task_cancelled.return_value = True\n        mock_get_redis_service.return_value = mock_redis_service\n\n        # Configure vdb_core\n        self.mock_vdb_core.check_index_exists.return_value = True\n\n        # Make vectorize_documents invoke the progress callback (cancellation branch)\n        def vectorize_side_effect(*args, **kwargs):\n            cb = kwargs.get(\"progress_callback\")\n            if cb:\n                cb(1, 2)  # _update_progress will swallow and log cancellation\n            return 0\n\n        self.mock_vdb_core.vectorize_documents.side_effect = vectorize_side_effect\n\n        # Provide minimal knowledge record for batch size lookup\n        with patch('backend.services.vectordatabase_service.get_knowledge_record') as mock_get_record:\n            mock_get_record.return_value = {\"tenant_id\": \"tenant-1\"}\n            with patch('backend.services.vectordatabase_service.tenant_config_manager') as mock_tenant_cfg:\n                mock_tenant_cfg.get_model_config.return_value = {\n                    \"chunk_batch\": 10}\n\n                data = [\n                    {\n                        \"path_or_url\": \"test_path\",\n                        \"content\": \"some content\",\n                        \"source_type\": \"minio\",\n                        \"file_size\": 123,\n                        \"metadata\": {},\n                    }\n                ]\n\n                # Execute: no exception should propagate because _update_progress swallows\n                result = ElasticSearchService.index_documents(\n                    embedding_model=self.mock_embedding,\n                    index_name=\"test_index\",\n                    data=data,\n                    vdb_core=self.mock_vdb_core,\n                    task_id=\"task-123\",\n                )\n\n                self.assertTrue(result[\"success\"])\n                mock_redis_service.is_task_cancelled.assert_called()\n                self.mock_vdb_core.vectorize_documents.assert_called_once()\n\n    def test_accurate_search(self):\n        \"\"\"\n        Test accurate (keyword-based) search functionality.\n\n        This test verifies that:\n        1. The accurate_search method correctly calls the core search implementation\n        2. Search results are properly formatted in the response\n        3. The response includes total count and query time\n        4. The search is performed across the specified indices\n        \"\"\"\n        # Setup\n        search_request = MagicMock()\n        search_request.index_names = [\"test_index\"]\n        search_request.query = \"test query\"\n        search_request.top_k = 10\n\n        self.mock_vdb_core.accurate_search.return_value = [\n            {\n                \"document\": {\"title\": \"Doc1\", \"content\": \"Content1\"},\n                \"score\": 0.95,\n                \"index\": \"test_index\"\n            }\n        ]\n\n        # Execute\n        result = ElasticSearchService.accurate_search(\n            request=search_request,\n            vdb_core=self.mock_vdb_core\n        )\n\n        # Assert\n        self.assertEqual(len(result[\"results\"]), 1)\n        self.assertEqual(result[\"total\"], 1)\n        self.assertTrue(\"query_time_ms\" in result)\n        self.mock_vdb_core.accurate_search.assert_called_once_with(\n            index_names=[\"test_index\"], query=\"test query\", top_k=10\n        )\n\n    def test_accurate_search_empty_query(self):\n        \"\"\"\n        Test accurate search with an empty query.\n\n        This test verifies that:\n        1. When the query is empty or consists only of whitespace, an exception is raised\n        2. The exception has the correct status code (500)\n        3. The exception message contains \"Search query cannot be empty\"\n        \"\"\"\n        # Setup\n        search_request = MagicMock()\n        search_request.index_names = [\"test_index\"]\n        search_request.query = \"   \"  # Empty query\n        search_request.top_k = 10\n\n        # Execute and Assert\n        with self.assertRaises(Exception) as context:\n            ElasticSearchService.accurate_search(\n                request=search_request,\n                vdb_core=self.mock_vdb_core\n            )\n\n        self.assertIn(\"Search query cannot be empty\", str(context.exception))\n\n    def test_accurate_search_no_indices(self):\n        \"\"\"\n        Test accurate search with no indices specified.\n\n        This test verifies that:\n        1. When no indices are specified, an exception is raised\n        2. The exception has the correct status code (500)\n        3. The exception message contains \"At least one index name is required\"\n        \"\"\"\n        # Setup\n        search_request = MagicMock()\n        search_request.index_names = []  # No indices\n        search_request.query = \"test query\"\n        search_request.top_k = 10\n\n        # Execute and Assert\n        with self.assertRaises(Exception) as context:\n            ElasticSearchService.accurate_search(\n                request=search_request,\n                vdb_core=self.mock_vdb_core\n            )\n\n        self.assertIn(\"At least one index name is required\",\n                      str(context.exception))\n\n    def test_semantic_search(self):\n        \"\"\"\n        Test semantic (embedding-based) search functionality.\n\n        This test verifies that:\n        1. The semantic_search method correctly calls the core search implementation\n        2. Search results are properly formatted in the response\n        3. The response includes total count and query time\n        4. The search is performed across the specified indices\n        \"\"\"\n        # Setup\n        search_request = MagicMock()\n        search_request.index_names = [\"test_index\"]\n        search_request.query = \"test query\"\n        search_request.top_k = 10\n\n        # Create a mock response directly on the vdb_core instance\n        self.mock_vdb_core.semantic_search.return_value = [\n            {\n                \"document\": {\"title\": \"Doc1\", \"content\": \"Content1\"},\n                \"score\": 0.85,\n                \"index\": \"test_index\"\n            }\n        ]\n\n        # Execute\n        result = ElasticSearchService.semantic_search(\n            request=search_request,\n            vdb_core=self.mock_vdb_core\n        )\n\n        # Assert\n        self.assertEqual(len(result[\"results\"]), 1)\n        self.assertEqual(result[\"total\"], 1)\n        self.assertTrue(\"query_time_ms\" in result)\n        self.mock_vdb_core.semantic_search.assert_called_once_with(\n            index_names=[\"test_index\"], query=\"test query\", top_k=10\n        )\n\n    def test_search_hybrid_success(self):\n        \"\"\"\n        Test hybrid search (combining semantic and accurate search).\n\n        This test verifies that:\n        1. The search_hybrid method correctly calls the core search implementation\n        2. The weight parameter for balancing semantic and accurate search is passed correctly\n        3. Search results include individual scores for both semantic and accurate searches\n        4. The response contains the expected structure with results, total, and timing information\n        \"\"\"\n        # Setup\n        self.mock_vdb_core.hybrid_search.return_value = [\n            {\n                \"document\": {\"title\": \"Doc1\", \"content\": \"Content1\"},\n                \"score\": 0.90,\n                \"index\": \"test_index\",\n                \"scores\": {\"accurate\": 0.85, \"semantic\": 0.95}\n            }\n        ]\n\n        # Execute\n        result = ElasticSearchService.search_hybrid(\n            index_names=[\"test_index\"],\n            query=\"test query\",\n            tenant_id=\"test_tenant\",\n            top_k=10,\n            weight_accurate=0.5,\n            vdb_core=self.mock_vdb_core\n        )\n\n        # Assert\n        self.assertEqual(len(result[\"results\"]), 1)\n        self.assertEqual(result[\"total\"], 1)\n        self.assertTrue(\"query_time_ms\" in result)\n        self.assertEqual(result[\"results\"][0][\"score\"], 0.90)\n        self.assertEqual(result[\"results\"][0][\"index\"], \"test_index\")\n        self.assertEqual(result[\"results\"][0]\n                         [\"score_details\"][\"accurate\"], 0.85)\n        self.assertEqual(result[\"results\"][0]\n                         [\"score_details\"][\"semantic\"], 0.95)\n        self.mock_vdb_core.hybrid_search.assert_called_once_with(\n            index_names=[\"test_index\"],\n            query_text=\"test query\",\n            embedding_model=self.mock_embedding,\n            top_k=10,\n            weight_accurate=0.5\n        )\n\n    def test_search_hybrid_missing_tenant_id(self):\n        \"\"\"Test search_hybrid raises ValueError when tenant_id is missing.\"\"\"\n        with self.assertRaises(ValueError) as context:\n            ElasticSearchService.search_hybrid(\n                index_names=[\"test_index\"],\n                query=\"test query\",\n                tenant_id=\"\",\n                top_k=10,\n                weight_accurate=0.5,\n                vdb_core=self.mock_vdb_core\n            )\n        self.assertIn(\"Tenant ID is required\", str(context.exception))\n\n    def test_search_hybrid_empty_query(self):\n        \"\"\"Test search_hybrid raises ValueError when query is empty.\"\"\"\n        with self.assertRaises(ValueError) as context:\n            ElasticSearchService.search_hybrid(\n                index_names=[\"test_index\"],\n                query=\"   \",\n                tenant_id=\"test_tenant\",\n                top_k=10,\n                weight_accurate=0.5,\n                vdb_core=self.mock_vdb_core\n            )\n        self.assertIn(\"Query text is required\", str(context.exception))\n\n    def test_search_hybrid_no_indices(self):\n        \"\"\"Test search_hybrid raises ValueError when no indices provided.\"\"\"\n        with self.assertRaises(ValueError) as context:\n            ElasticSearchService.search_hybrid(\n                index_names=[],\n                query=\"test query\",\n                tenant_id=\"test_tenant\",\n                top_k=10,\n                weight_accurate=0.5,\n                vdb_core=self.mock_vdb_core\n            )\n        self.assertIn(\"At least one index name is required\",\n                      str(context.exception))\n\n    def test_search_hybrid_invalid_top_k(self):\n        \"\"\"Test search_hybrid raises ValueError when top_k is invalid.\"\"\"\n        with self.assertRaises(ValueError) as context:\n            ElasticSearchService.search_hybrid(\n                index_names=[\"test_index\"],\n                query=\"test query\",\n                tenant_id=\"test_tenant\",\n                top_k=0,\n                weight_accurate=0.5,\n                vdb_core=self.mock_vdb_core\n            )\n        self.assertIn(\"top_k must be greater than 0\", str(context.exception))\n\n    def test_search_hybrid_invalid_weight(self):\n        \"\"\"Test search_hybrid raises ValueError when weight_accurate is invalid.\"\"\"\n        with self.assertRaises(ValueError) as context:\n            ElasticSearchService.search_hybrid(\n                index_names=[\"test_index\"],\n                query=\"test query\",\n                tenant_id=\"test_tenant\",\n                top_k=10,\n                weight_accurate=1.5,\n                vdb_core=self.mock_vdb_core\n            )\n        self.assertIn(\"weight_accurate must be between 0 and 1\",\n                      str(context.exception))\n\n    def test_search_hybrid_no_embedding_model(self):\n        \"\"\"Test search_hybrid raises ValueError when embedding model is not configured.\"\"\"\n        # Stop the mock to test the real get_embedding_model\n        self.get_embedding_model_patcher.stop()\n        try:\n            with patch('backend.services.vectordatabase_service.get_embedding_model', return_value=None):\n                with self.assertRaises(ValueError) as context:\n                    ElasticSearchService.search_hybrid(\n                        index_names=[\"test_index\"],\n                        query=\"test query\",\n                        tenant_id=\"test_tenant\",\n                        top_k=10,\n                        weight_accurate=0.5,\n                        vdb_core=self.mock_vdb_core\n                    )\n                self.assertIn(\"No embedding model configured\",\n                              str(context.exception))\n        finally:\n            self.get_embedding_model_patcher.start()\n\n    def test_search_hybrid_exception(self):\n        \"\"\"Test search_hybrid handles exceptions from vdb_core.\"\"\"\n        self.mock_vdb_core.hybrid_search.side_effect = Exception(\n            \"Search failed\")\n\n        with self.assertRaises(Exception) as context:\n            ElasticSearchService.search_hybrid(\n                index_names=[\"test_index\"],\n                query=\"test query\",\n                tenant_id=\"test_tenant\",\n                top_k=10,\n                weight_accurate=0.5,\n                vdb_core=self.mock_vdb_core\n            )\n        self.assertIn(\"Error executing hybrid search\", str(context.exception))\n\n    def test_search_hybrid_weight_accurate_boundary_values(self):\n        \"\"\"Test search_hybrid with different weight_accurate values to ensure line 1146 is covered.\"\"\"\n        # Test with weight_accurate = 0.0 (semantic only)\n        self.mock_vdb_core.hybrid_search.return_value = [\n            {\n                \"document\": {\"title\": \"Doc1\", \"content\": \"Content1\"},\n                \"score\": 0.90,\n                \"index\": \"test_index\",\n            }\n        ]\n\n        result = ElasticSearchService.search_hybrid(\n            index_names=[\"test_index\"],\n            query=\"test query\",\n            tenant_id=\"test_tenant\",\n            top_k=10,\n            weight_accurate=0.0,\n            vdb_core=self.mock_vdb_core\n        )\n        self.assertEqual(len(result[\"results\"]), 1)\n        self.mock_vdb_core.hybrid_search.assert_called_with(\n            index_names=[\"test_index\"],\n            query_text=\"test query\",\n            embedding_model=self.mock_embedding,\n            top_k=10,\n            weight_accurate=0.0\n        )\n\n        # Test with weight_accurate = 1.0 (accurate only)\n        self.mock_vdb_core.hybrid_search.reset_mock()\n        result = ElasticSearchService.search_hybrid(\n            index_names=[\"test_index\"],\n            query=\"test query\",\n            tenant_id=\"test_tenant\",\n            top_k=10,\n            weight_accurate=1.0,\n            vdb_core=self.mock_vdb_core\n        )\n        self.mock_vdb_core.hybrid_search.assert_called_with(\n            index_names=[\"test_index\"],\n            query_text=\"test query\",\n            embedding_model=self.mock_embedding,\n            top_k=10,\n            weight_accurate=1.0\n        )\n\n        # Test with weight_accurate = 0.3 (more semantic)\n        self.mock_vdb_core.hybrid_search.reset_mock()\n        result = ElasticSearchService.search_hybrid(\n            index_names=[\"test_index\"],\n            query=\"test query\",\n            tenant_id=\"test_tenant\",\n            top_k=10,\n            weight_accurate=0.3,\n            vdb_core=self.mock_vdb_core\n        )\n        self.mock_vdb_core.hybrid_search.assert_called_with(\n            index_names=[\"test_index\"],\n            query_text=\"test query\",\n            embedding_model=self.mock_embedding,\n            top_k=10,\n            weight_accurate=0.3\n        )\n\n    def test_health_check_healthy(self):\n        \"\"\"\n        Test health check when Elasticsearch is healthy.\n\n        This test verifies that:\n        1. The health check correctly reports a healthy status when Elasticsearch is available\n        2. The response includes the connection status and indices count\n        3. The health_check method returns without raising exceptions\n        \"\"\"\n        # Setup\n        self.mock_vdb_core.get_user_indices.return_value = [\"index1\", \"index2\"]\n\n        # Execute\n        result = ElasticSearchService.health_check(vdb_core=self.mock_vdb_core)\n\n        # Assert\n        self.assertEqual(result[\"status\"], \"healthy\")\n        self.assertEqual(result[\"elasticsearch\"], \"connected\")\n        self.assertEqual(result[\"indices_count\"], 2)\n\n    def test_health_check_unhealthy(self):\n        \"\"\"\n        Test health check when Elasticsearch is unhealthy.\n\n        This test verifies that:\n        1. When Elasticsearch is unavailable, an exception is raised\n        2. The exception has the correct status code (500)\n        3. The exception message contains \"Health check failed\"\n        \"\"\"\n        # Setup\n        self.mock_vdb_core.get_user_indices.side_effect = Exception(\n            \"Connection error\")\n\n        # Execute and Assert\n        with self.assertRaises(Exception) as context:\n            ElasticSearchService.health_check(vdb_core=self.mock_vdb_core)\n\n        self.assertIn(\"Health check failed\", str(context.exception))\n\n    @patch('database.model_management_db.get_model_by_model_id')\n    def test_summary_index_name(self, mock_get_model_by_model_id):\n        \"\"\"\n        Test generating a summary for an index.\n\n        This test verifies that:\n        1. Random documents are retrieved for summarization\n        2. The summary generation stream is properly initialized using Map-Reduce approach\n        3. A StreamingResponse object is returned for streaming the summary tokens\n        \"\"\"\n        # Setup\n        mock_get_model_by_model_id.return_value = {\n            'api_key': 'test_api_key',\n            'base_url': 'https://api.test.com',\n            'model_name': 'test-model',\n            'model_repo': 'test-repo'\n        }\n\n        # Mock the new Map-Reduce functions\n        with patch('utils.document_vector_utils.process_documents_for_clustering') as mock_process_docs, \\\n                patch('utils.document_vector_utils.kmeans_cluster_documents') as mock_cluster, \\\n                patch('utils.document_vector_utils.summarize_clusters_map_reduce') as mock_summarize, \\\n                patch('utils.document_vector_utils.merge_cluster_summaries') as mock_merge, \\\n                patch('database.model_management_db.get_model_by_model_id') as mock_get_model_internal:\n\n            # Mock return values\n            mock_process_docs.return_value = (\n                # document_samples\n                {\"doc1\": {\"chunks\": [{\"content\": \"test content\"}]}},\n                {\"doc1\": np.array([0.1, 0.2, 0.3])}  # doc_embeddings\n            )\n            mock_cluster.return_value = {\"doc1\": 0}  # clusters\n            mock_summarize.return_value = {\n                0: \"Test cluster summary\"}  # cluster_summaries\n            mock_merge.return_value = \"Final merged summary\"  # final_summary\n            mock_get_model_internal.return_value = {\n                'api_key': 'test_api_key',\n                'base_url': 'https://api.test.com',\n                'model_name': 'test-model'\n            }\n\n            # Execute\n            async def run_test():\n                result = await self.es_service.summary_index_name(\n                    index_name=\"test_index\",\n                    batch_size=1000,\n                    vdb_core=self.mock_vdb_core,\n                    language='en',\n                    model_id=1,\n                    tenant_id=\"test_tenant\"\n                )\n\n                # Consume part of the stream to trigger the generator function\n                generator = result.body_iterator\n                # Get at least one item from the generator to trigger execution\n                try:\n                    async for item in generator:\n                        break  # Just get one item to trigger execution\n                except StopAsyncIteration:\n                    pass\n\n                return result\n\n            result = asyncio.run(run_test())\n\n            # Assert\n            self.assertIsInstance(result, StreamingResponse)\n            # Basic functionality test - just verify the response is correct type\n            # The detailed function calls are tested in their own unit tests\n\n    def test_summary_index_name_no_tenant_id(self):\n        \"\"\"\n        Test summary_index_name raises exception when tenant_id is missing.\n\n        This test verifies that:\n        1. An exception is raised when tenant_id is None\n        2. The exception message contains \"Tenant ID is required\"\n        \"\"\"\n\n        # Execute and Assert\n        async def run_test():\n            with self.assertRaises(Exception) as context:\n                await self.es_service.summary_index_name(\n                    index_name=\"test_index\",\n                    batch_size=1000,\n                    vdb_core=self.mock_vdb_core,\n                    language='en',\n                    model_id=1,\n                    tenant_id=None  # Missing tenant_id\n                )\n            self.assertIn(\"Tenant ID is required\", str(context.exception))\n\n        asyncio.run(run_test())\n\n    def test_summary_index_name_no_documents(self):\n        \"\"\"\n        Test summary_index_name when no documents are found in index.\n\n        This test verifies that:\n        1. An exception is raised when document_samples is empty\n        2. The exception message contains \"No documents found in index\"\n        \"\"\"\n        # Mock the new Map-Reduce functions\n        with patch('utils.document_vector_utils.process_documents_for_clustering') as mock_process_docs, \\\n                patch('utils.document_vector_utils.kmeans_cluster_documents'), \\\n                patch('utils.document_vector_utils.summarize_clusters_map_reduce'), \\\n                patch('utils.document_vector_utils.merge_cluster_summaries'):\n            # Mock return empty document_samples\n            mock_process_docs.return_value = (\n                {},  # Empty document_samples\n                {}  # Empty doc_embeddings\n            )\n\n            # Execute\n            async def run_test():\n                with self.assertRaises(Exception) as context:\n                    result = await self.es_service.summary_index_name(\n                        index_name=\"test_index\",\n                        batch_size=1000,\n                        vdb_core=self.mock_vdb_core,\n                        language='en',\n                        model_id=1,\n                        tenant_id=\"test_tenant\"\n                    )\n                    # Consume the stream to trigger execution\n                    generator = result.body_iterator\n                    async for item in generator:\n                        break\n\n                self.assertIn(\"No documents found in index\",\n                              str(context.exception))\n\n            asyncio.run(run_test())\n\n    def test_summary_index_name_runtime_error_fallback(self):\n        \"\"\"\n        Test summary_index_name fallback when get_running_loop raises RuntimeError.\n\n        This test verifies that:\n        1. When get_running_loop() raises RuntimeError, get_event_loop() is used as fallback\n        2. The summary generation still works correctly\n        \"\"\"\n        # Mock the new Map-Reduce functions\n        with patch('utils.document_vector_utils.process_documents_for_clustering') as mock_process_docs, \\\n                patch('utils.document_vector_utils.kmeans_cluster_documents') as mock_cluster, \\\n                patch('utils.document_vector_utils.summarize_clusters_map_reduce') as mock_summarize, \\\n                patch('utils.document_vector_utils.merge_cluster_summaries') as mock_merge:\n\n            # Mock return values\n            mock_process_docs.return_value = (\n                # document_samples\n                {\"doc1\": {\"chunks\": [{\"content\": \"test content\"}]}},\n                {\"doc1\": np.array([0.1, 0.2, 0.3])}  # doc_embeddings\n            )\n            mock_cluster.return_value = {\"doc1\": 0}  # clusters\n            mock_summarize.return_value = {\n                0: \"Test cluster summary\"}  # cluster_summaries\n            mock_merge.return_value = \"Final merged summary\"  # final_summary\n\n            # Create a mock loop with run_in_executor that returns a coroutine\n            mock_loop = MagicMock()\n\n            async def mock_run_in_executor(executor, func, *args):\n                # Execute the function synchronously and return its result\n                return func()\n\n            mock_loop.run_in_executor = mock_run_in_executor\n\n            # Patch asyncio functions to trigger RuntimeError fallback\n            with patch('backend.services.vectordatabase_service.asyncio.get_running_loop',\n                       side_effect=RuntimeError(\"No running event loop\")), \\\n                    patch('backend.services.vectordatabase_service.asyncio.get_event_loop',\n                          return_value=mock_loop) as mock_get_event_loop:\n\n                # Execute\n                async def run_test():\n                    result = await self.es_service.summary_index_name(\n                        index_name=\"test_index\",\n                        batch_size=1000,\n                        vdb_core=self.mock_vdb_core,\n                        language='en',\n                        model_id=1,\n                        tenant_id=\"test_tenant\"\n                    )\n\n                    # Consume part of the stream to trigger execution\n                    generator = result.body_iterator\n                    try:\n                        async for item in generator:\n                            break\n                    except StopAsyncIteration:\n                        pass\n\n                    return result\n\n                result = asyncio.run(run_test())\n\n                # Assert\n                self.assertIsInstance(result, StreamingResponse)\n                # Verify fallback was used\n                mock_get_event_loop.assert_called()\n\n    def test_summary_index_name_generator_exception(self):\n        \"\"\"\n        Test summary_index_name handles exceptions in the generator function.\n\n        This test verifies that:\n        1. Exceptions in the generator are caught and streamed as error messages\n        2. The error status is properly formatted\n        \"\"\"\n        # Mock the new Map-Reduce functions\n        with patch('utils.document_vector_utils.process_documents_for_clustering') as mock_process_docs, \\\n                patch('utils.document_vector_utils.kmeans_cluster_documents') as mock_cluster, \\\n                patch('utils.document_vector_utils.summarize_clusters_map_reduce') as mock_summarize, \\\n                patch('utils.document_vector_utils.merge_cluster_summaries') as mock_merge:\n\n            # Mock return values\n            mock_process_docs.return_value = (\n                # document_samples\n                {\"doc1\": {\"chunks\": [{\"content\": \"test content\"}]}},\n                {\"doc1\": np.array([0.1, 0.2, 0.3])}  # doc_embeddings\n            )\n            mock_cluster.return_value = {\"doc1\": 0}  # clusters\n            mock_summarize.return_value = {\n                0: \"Test cluster summary\"}  # cluster_summaries\n            mock_merge.return_value = \"Final merged summary\"  # final_summary\n\n            # Execute\n            async def run_test():\n                result = await self.es_service.summary_index_name(\n                    index_name=\"test_index\",\n                    batch_size=1000,\n                    vdb_core=self.mock_vdb_core,\n                    language='en',\n                    model_id=1,\n                    tenant_id=\"test_tenant\"\n                )\n\n                # Consume the stream completely\n                generator = result.body_iterator\n                items = []\n                try:\n                    async for item in generator:\n                        items.append(item)\n                except Exception:\n                    pass\n\n                return result, items\n\n            result, items = asyncio.run(run_test())\n\n            # Assert\n            self.assertIsInstance(result, StreamingResponse)\n            # Verify that items were generated (at least the completed message)\n            self.assertGreater(len(items), 0)\n\n    def test_summary_index_name_sample_count_calculation(self):\n        \"\"\"\n        Test summary_index_name correctly calculates sample_count from batch_size.\n\n        This test verifies that:\n        1. sample_count is calculated as min(batch_size // 5, 200)\n        2. The sample_doc_count parameter is passed correctly to process_documents_for_clustering\n        \"\"\"\n        # Test with batch_size=1000 -> sample_count should be min(200, 200) = 200\n        with patch('utils.document_vector_utils.process_documents_for_clustering') as mock_process_docs, \\\n                patch('utils.document_vector_utils.kmeans_cluster_documents') as mock_cluster, \\\n                patch('utils.document_vector_utils.summarize_clusters_map_reduce') as mock_summarize, \\\n                patch('utils.document_vector_utils.merge_cluster_summaries') as mock_merge:\n\n            # Mock return values\n            mock_process_docs.return_value = (\n                # document_samples\n                {\"doc1\": {\"chunks\": [{\"content\": \"test content\"}]}},\n                {\"doc1\": np.array([0.1, 0.2, 0.3])}  # doc_embeddings\n            )\n            mock_cluster.return_value = {\"doc1\": 0}  # clusters\n            mock_summarize.return_value = {\n                0: \"Test cluster summary\"}  # cluster_summaries\n            mock_merge.return_value = \"Final merged summary\"  # final_summary\n\n            # Execute with batch_size=1000\n            async def run_test():\n                result = await self.es_service.summary_index_name(\n                    index_name=\"test_index\",\n                    batch_size=1000,\n                    vdb_core=self.mock_vdb_core,\n                    language='en',\n                    model_id=1,\n                    tenant_id=\"test_tenant\"\n                )\n\n                # Consume part of the stream to trigger execution\n                generator = result.body_iterator\n                try:\n                    async for item in generator:\n                        break\n                except StopAsyncIteration:\n                    pass\n\n                return result\n\n            asyncio.run(run_test())\n\n            # Verify sample_doc_count was called with 200 (min(1000 // 5, 200) = 200)\n            self.assertTrue(mock_process_docs.called)\n            call_args = mock_process_docs.call_args\n            self.assertEqual(call_args.kwargs['sample_doc_count'], 200)\n\n        # Test with batch_size=50 -> sample_count should be min(10, 200) = 10\n        with patch('utils.document_vector_utils.process_documents_for_clustering') as mock_process_docs, \\\n                patch('utils.document_vector_utils.kmeans_cluster_documents') as mock_cluster, \\\n                patch('utils.document_vector_utils.summarize_clusters_map_reduce') as mock_summarize, \\\n                patch('utils.document_vector_utils.merge_cluster_summaries') as mock_merge:\n\n            # Mock return values\n            mock_process_docs.return_value = (\n                {\"doc1\": {\"chunks\": [{\"content\": \"test content\"}]}},\n                {\"doc1\": np.array([0.1, 0.2, 0.3])}\n            )\n            mock_cluster.return_value = {\"doc1\": 0}\n            mock_summarize.return_value = {0: \"Test cluster summary\"}\n            mock_merge.return_value = \"Final merged summary\"\n\n            # Execute with batch_size=50\n            async def run_test_small():\n                result = await self.es_service.summary_index_name(\n                    index_name=\"test_index\",\n                    batch_size=50,\n                    vdb_core=self.mock_vdb_core,\n                    language='en',\n                    model_id=1,\n                    tenant_id=\"test_tenant\"\n                )\n\n                # Consume part of the stream to trigger execution\n                generator = result.body_iterator\n                try:\n                    async for item in generator:\n                        break\n                except StopAsyncIteration:\n                    pass\n\n                return result\n\n            asyncio.run(run_test_small())\n\n            # Verify sample_doc_count was called with 10 (min(50 // 5, 200) = 10)\n            self.assertTrue(mock_process_docs.called)\n            call_args = mock_process_docs.call_args\n            self.assertEqual(call_args.kwargs['sample_doc_count'], 10)\n\n    def test_get_random_documents(self):\n        \"\"\"\n        Test retrieving random documents from an index.\n\n        This test verifies that:\n        1. The method gets the total document count in the index\n        2. A random sample of documents is retrieved\n        3. The response contains both the total count and the sampled documents\n        \"\"\"\n        # Setup\n        self.mock_vdb_core.count_documents.return_value = 100\n\n        search_response = {\n            'hits': {\n                'hits': [\n                    {\n                        '_id': 'doc1',\n                        '_source': {\"title\": \"Doc1\", \"content\": \"Content1\"}\n                    },\n                    {\n                        '_id': 'doc2',\n                        '_source': {\"title\": \"Doc2\", \"content\": \"Content2\"}\n                    }\n                ]\n            }\n        }\n        self.mock_vdb_core.search.return_value = search_response\n\n        # Execute\n        result = ElasticSearchService.get_random_documents(\n            index_name=\"test_index\",\n            batch_size=10,\n            vdb_core=self.mock_vdb_core\n        )\n\n        # Assert\n        self.assertEqual(result[\"total\"], 100)\n        self.assertEqual(len(result[\"documents\"]), 2)\n        self.mock_vdb_core.count_documents.assert_called_once_with(\n            \"test_index\")\n        self.mock_vdb_core.search.assert_called_once()\n\n    @patch('backend.services.vectordatabase_service.update_knowledge_record')\n    def test_change_summary(self, mock_update_record):\n        \"\"\"\n        Test changing the summary of a knowledge base.\n\n        This test verifies that:\n        1. The knowledge record is updated with the new summary\n        2. The response includes a success status and the updated summary\n        3. The update_knowledge_record function is called with correct parameters\n        \"\"\"\n        # Setup\n        mock_update_record.return_value = True\n\n        # Execute\n        result = self.es_service.change_summary(\n            index_name=\"test_index\",\n            summary_result=\"Test summary\",\n            user_id=\"test_user\"\n        )\n\n        # Assert\n        self.assertEqual(result[\"status\"], \"success\")\n        self.assertEqual(result[\"summary\"], \"Test summary\")\n        mock_update_record.assert_called_once()\n\n    @patch('backend.services.vectordatabase_service.update_knowledge_record')\n    def test_update_knowledge_base_success(self, mock_update_record):\n        \"\"\"\n        Test successful knowledge base update.\n\n        This test verifies that:\n        1. The knowledge base can be updated with all fields\n        2. The update_knowledge_record function is called with correct parameters\n        3. The method returns True on successful update\n        \"\"\"\n        # Setup\n        mock_update_record.return_value = True\n\n        # Execute - update with all fields\n        result = self.es_service.update_knowledge_base(\n            index_name=\"test_index\",\n            knowledge_name=\"Updated Name\",\n            ingroup_permission=\"EDIT\",\n            group_ids=[1, 2, 3],\n            user_id=\"test_user\"\n        )\n\n        # Assert\n        self.assertTrue(result)\n        mock_update_record.assert_called_once()\n        call_args = mock_update_record.call_args[0][0]\n        self.assertEqual(call_args[\"index_name\"], \"test_index\")\n        self.assertEqual(call_args[\"knowledge_name\"], \"Updated Name\")\n        self.assertEqual(call_args[\"ingroup_permission\"], \"EDIT\")\n        # Converted to string\n        self.assertEqual(call_args[\"group_ids\"], \"1,2,3\")\n        self.assertEqual(call_args[\"updated_by\"], \"test_user\")\n\n    @patch('backend.services.vectordatabase_service.update_knowledge_record')\n    def test_update_knowledge_base_partial_update_name(self, mock_update_record):\n        \"\"\"\n        Test partial update - only updating knowledge name.\n\n        This test verifies that:\n        1. Only the specified fields are updated\n        2. Other fields are not included in the update payload\n        \"\"\"\n        # Setup\n        mock_update_record.return_value = True\n\n        # Execute - update only name\n        result = self.es_service.update_knowledge_base(\n            index_name=\"test_index\",\n            knowledge_name=\"New Name\",\n            user_id=\"test_user\"\n        )\n\n        # Assert\n        self.assertTrue(result)\n        mock_update_record.assert_called_once()\n        call_args = mock_update_record.call_args[0][0]\n        self.assertEqual(call_args[\"index_name\"], \"test_index\")\n        self.assertEqual(call_args[\"knowledge_name\"], \"New Name\")\n        self.assertNotIn(\"ingroup_permission\", call_args)\n        self.assertNotIn(\"group_ids\", call_args)\n\n    @patch('backend.services.vectordatabase_service.update_knowledge_record')\n    def test_update_knowledge_base_partial_update_permission(self, mock_update_record):\n        \"\"\"\n        Test partial update - only updating permission.\n\n        This test verifies that:\n        1. Only the permission field is updated\n        2. Other fields are not included in the update payload\n        \"\"\"\n        # Setup\n        mock_update_record.return_value = True\n\n        # Execute - update only permission\n        result = self.es_service.update_knowledge_base(\n            index_name=\"test_index\",\n            ingroup_permission=\"PRIVATE\",\n            user_id=\"test_user\"\n        )\n\n        # Assert\n        self.assertTrue(result)\n        mock_update_record.assert_called_once()\n        call_args = mock_update_record.call_args[0][0]\n        self.assertEqual(call_args[\"index_name\"], \"test_index\")\n        self.assertEqual(call_args[\"ingroup_permission\"], \"PRIVATE\")\n        self.assertNotIn(\"knowledge_name\", call_args)\n        self.assertNotIn(\"group_ids\", call_args)\n\n    def test_update_knowledge_base_invalid_permission(self):\n        \"\"\"\n        Test update with invalid permission value.\n\n        This test verifies that:\n        1. ValueError is raised for invalid permission values\n        2. The error message contains valid permission options\n        \"\"\"\n        # Execute & Assert - invalid permission should raise ValueError\n        with self.assertRaises(ValueError) as context:\n            self.es_service.update_knowledge_base(\n                index_name=\"test_index\",\n                ingroup_permission=\"INVALID_PERMISSION\",\n                user_id=\"test_user\"\n            )\n\n        self.assertIn(\"Invalid ingroup_permission\", str(context.exception))\n        self.assertIn(\"EDIT\", str(context.exception))\n        self.assertIn(\"READ_ONLY\", str(context.exception))\n        self.assertIn(\"PRIVATE\", str(context.exception))\n\n    def test_update_knowledge_base_empty_group_ids(self):\n        \"\"\"\n        Test update with empty group_ids list.\n\n        This test verifies that:\n        1. Empty group_ids list is converted to empty string\n        2. The update is still successful\n        \"\"\"\n        with patch('backend.services.vectordatabase_service.update_knowledge_record') as mock_update:\n            mock_update.return_value = True\n\n            result = self.es_service.update_knowledge_base(\n                index_name=\"test_index\",\n                group_ids=[],\n                user_id=\"test_user\"\n            )\n\n            self.assertTrue(result)\n            mock_update.assert_called_once()\n            call_args = mock_update.call_args[0][0]\n            # Empty list becomes empty string\n            self.assertEqual(call_args[\"group_ids\"], \"\")\n\n    @patch('backend.services.vectordatabase_service.update_knowledge_record')\n    def test_update_knowledge_base_not_found(self, mock_update_record):\n        \"\"\"\n        Test update when knowledge base doesn't exist.\n\n        This test verifies that:\n        1. False is returned when update_knowledge_record returns False\n        2. The update payload is still constructed correctly\n        \"\"\"\n        # Setup\n        mock_update_record.return_value = False\n\n        # Execute\n        result = self.es_service.update_knowledge_base(\n            index_name=\"non_existent_index\",\n            knowledge_name=\"New Name\",\n            user_id=\"test_user\"\n        )\n\n        # Assert\n        self.assertFalse(result)\n        mock_update_record.assert_called_once()\n\n    @patch('backend.services.vectordatabase_service.update_knowledge_record')\n    def test_update_knowledge_base_with_single_group(self, mock_update_record):\n        \"\"\"\n        Test update with single group ID.\n\n        This test verifies that:\n        1. Single group ID is correctly converted to string\n        2. The update payload is constructed correctly\n        \"\"\"\n        # Setup\n        mock_update_record.return_value = True\n\n        # Execute\n        result = self.es_service.update_knowledge_base(\n            index_name=\"test_index\",\n            group_ids=[5],\n            user_id=\"test_user\"\n        )\n\n        # Assert\n        self.assertTrue(result)\n        mock_update_record.assert_called_once()\n        call_args = mock_update_record.call_args[0][0]\n        self.assertEqual(call_args[\"group_ids\"], \"5\")\n\n    @patch('backend.services.vectordatabase_service.get_knowledge_record')\n    def test_get_summary(self, mock_get_record):\n        \"\"\"\n        Test retrieving the summary of a knowledge base.\n\n        This test verifies that:\n        1. The knowledge record is retrieved for the specified index\n        2. The summary is extracted from the record\n        3. The response includes a success status and the summary\n        \"\"\"\n        # Setup\n        mock_get_record.return_value = {\n            \"knowledge_describe\": \"Test summary\"\n        }\n\n        # Execute\n        result = self.es_service.get_summary(index_name=\"test_index\")\n\n        # Assert\n        self.assertEqual(result[\"status\"], \"success\")\n        self.assertEqual(result[\"summary\"], \"Test summary\")\n        mock_get_record.assert_called_once_with({'index_name': 'test_index'})\n\n    @patch('backend.services.vectordatabase_service.get_knowledge_record')\n    def test_get_summary_not_found(self, mock_get_record):\n        \"\"\"\n        Test retrieving a summary when the knowledge record doesn't exist.\n\n        This test verifies that:\n        1. When the knowledge record is not found, an exception is raised\n        2. The exception has the correct status code (500)\n        3. The exception message contains \"Unable to get summary\"\n        \"\"\"\n        # Setup\n        mock_get_record.return_value = None\n\n        # Execute and Assert\n        with self.assertRaises(Exception) as context:\n            self.es_service.get_summary(index_name=\"test_index\")\n\n        self.assertIn(\"Unable to get summary\", str(context.exception))\n\n    def test_get_index_chunks_filters_fields(self):\n        \"\"\"\n        Test chunk retrieval filters unsupported fields and reports totals.\n        \"\"\"\n        self.mock_vdb_core.get_index_chunks.return_value = {\n            \"chunks\": [\n                {\"id\": \"1\", \"content\": \"A\", \"path_or_url\": \"/a\", \"extra\": \"ignore\"},\n                {\"content\": \"B\", \"create_time\": \"2024-01-01T00:00:00\"}\n            ],\n            \"total\": 2,\n            \"page\": None,\n            \"page_size\": None,\n        }\n\n        result = ElasticSearchService.get_index_chunks(\n            index_name=\"kb-index\",\n            vdb_core=self.mock_vdb_core\n        )\n\n        self.assertEqual(result[\"status\"], \"success\")\n        self.assertEqual(result[\"total\"], 2)\n        self.assertEqual(result[\"chunks\"][0], {\n                         \"id\": \"1\", \"content\": \"A\", \"path_or_url\": \"/a\"})\n        self.assertEqual(result[\"chunks\"][1], {\n                         \"content\": \"B\", \"create_time\": \"2024-01-01T00:00:00\"})\n        self.mock_vdb_core.get_index_chunks.assert_called_once_with(\n            \"kb-index\",\n            page=None,\n            page_size=None,\n            path_or_url=None,\n        )\n\n    def test_get_index_chunks_keeps_non_dict_entries(self):\n        \"\"\"\n        Test chunk retrieval keeps non-dict entries unchanged.\n        \"\"\"\n        self.mock_vdb_core.get_index_chunks.return_value = {\n            \"chunks\": [\"raw_chunk\"],\n            \"total\": 1,\n            \"page\": 1,\n            \"page_size\": 1,\n        }\n\n        result = ElasticSearchService.get_index_chunks(\n            index_name=\"kb-index\",\n            vdb_core=self.mock_vdb_core\n        )\n\n        self.assertEqual(result[\"chunks\"], [\"raw_chunk\"])\n        self.assertEqual(result[\"total\"], 1)\n\n    def test_get_index_chunks_error(self):\n        \"\"\"\n        Test chunk retrieval error handling.\n        \"\"\"\n        self.mock_vdb_core.get_index_chunks.side_effect = Exception(\"boom\")\n\n        with self.assertRaises(Exception) as exc:\n            ElasticSearchService.get_index_chunks(\n                index_name=\"kb-index\",\n                vdb_core=self.mock_vdb_core\n            )\n\n        self.assertIn(\n            \"Error retrieving chunks from index kb-index: boom\", str(exc.exception))\n\n    def test_create_chunk_builds_payload_and_calls_core(self):\n        \"\"\"\n        Test create_chunk builds payload and delegates to vdb_core.create_chunk.\n        \"\"\"\n        from types import SimpleNamespace\n\n        self.mock_vdb_core.create_chunk.return_value = {\"id\": \"chunk-1\"}\n        chunk_request = SimpleNamespace(\n            chunk_id=None,\n            title=\"My title\",\n            filename=\"file.txt\",\n            path_or_url=\"doc-1\",\n            content=\"hello world\",\n            metadata={\"lang\": \"en\"},\n        )\n\n        result = ElasticSearchService.create_chunk(\n            index_name=\"kb-index\",\n            chunk_request=chunk_request,\n            vdb_core=self.mock_vdb_core,\n            user_id=\"user-1\",\n        )\n\n        self.assertEqual(result[\"status\"], \"success\")\n        self.assertEqual(result[\"chunk_id\"], \"chunk-1\")\n        self.mock_vdb_core.create_chunk.assert_called_once()\n        # create_chunk is called positionally: (index_name, chunk_payload)\n        _, payload = self.mock_vdb_core.create_chunk.call_args[0]\n        # Base fields\n        self.assertEqual(payload[\"content\"], \"hello world\")\n        self.assertEqual(payload[\"path_or_url\"], \"doc-1\")\n        self.assertEqual(payload[\"filename\"], \"file.txt\")\n        self.assertEqual(payload[\"title\"], \"My title\")\n        self.assertEqual(payload[\"created_by\"], \"user-1\")\n        # Metadata merged\n        self.assertEqual(payload[\"lang\"], \"en\")\n        self.assertIn(\"id\", payload)\n\n    @patch('backend.services.vectordatabase_service.get_knowledge_record')\n    @patch('backend.services.vectordatabase_service.get_embedding_model')\n    def test_create_chunk_generates_embedding_when_tenant_provided(self, mock_get_embedding_model, mock_get_knowledge_record):\n        \"\"\"\n        Test create_chunk generates and stores embedding when tenant_id is provided.\n        \"\"\"\n        from types import SimpleNamespace\n\n        # Setup mocks\n        self.mock_vdb_core.create_chunk.return_value = {\"id\": \"chunk-1\"}\n\n        # Mock knowledge record with embedding model name\n        mock_get_knowledge_record.return_value = {\n            \"index_name\": \"kb-index\",\n            \"embedding_model_name\": \"text-embedding-3-small\"\n        }\n\n        # Mock embedding model\n        mock_embedding = MagicMock()\n        mock_embedding.get_embeddings.return_value = [[0.1, 0.2, 0.3]]\n        mock_get_embedding_model.return_value = mock_embedding\n\n        chunk_request = SimpleNamespace(\n            chunk_id=None,\n            title=None,\n            filename=\"file.txt\",\n            path_or_url=\"doc-1\",\n            content=\"This is test content that needs embedding\",\n            metadata={},\n        )\n\n        result = ElasticSearchService.create_chunk(\n            index_name=\"kb-index\",\n            chunk_request=chunk_request,\n            vdb_core=self.mock_vdb_core,\n            user_id=\"user-1\",\n            tenant_id=\"tenant-123\",\n        )\n\n        self.assertEqual(result[\"status\"], \"success\")\n        self.assertEqual(result[\"chunk_id\"], \"chunk-1\")\n\n        # Verify embedding was generated\n        mock_get_embedding_model.assert_called_once_with(\"tenant-123\", \"text-embedding-3-small\")\n        mock_embedding.get_embeddings.assert_called_once()\n\n        # Verify vdb_core was called with embedding in payload\n        self.mock_vdb_core.create_chunk.assert_called_once()\n        _, payload = self.mock_vdb_core.create_chunk.call_args[0]\n        self.assertIn(\"embedding\", payload)\n        self.assertEqual(payload[\"embedding\"], [0.1, 0.2, 0.3])\n        self.assertEqual(payload[\"embedding_model_name\"], \"text-embedding-3-small\")\n\n    @patch('backend.services.vectordatabase_service.get_knowledge_record')\n    @patch('backend.services.vectordatabase_service.get_embedding_model')\n    def test_create_chunk_without_tenant_no_embedding_generated(self, mock_get_embedding_model, mock_get_knowledge_record):\n        \"\"\"\n        Test create_chunk does not generate embedding when tenant_id is not provided.\n        \"\"\"\n        from types import SimpleNamespace\n\n        self.mock_vdb_core.create_chunk.return_value = {\"id\": \"chunk-1\"}\n\n        chunk_request = SimpleNamespace(\n            chunk_id=None,\n            title=None,\n            filename=\"file.txt\",\n            path_or_url=\"doc-1\",\n            content=\"Content without embedding\",\n            metadata={},\n        )\n\n        result = ElasticSearchService.create_chunk(\n            index_name=\"kb-index\",\n            chunk_request=chunk_request,\n            vdb_core=self.mock_vdb_core,\n            user_id=\"user-1\",\n            tenant_id=None,  # No tenant_id\n        )\n\n        self.assertEqual(result[\"status\"], \"success\")\n\n        # Verify no embedding-related calls were made\n        mock_get_knowledge_record.assert_not_called()\n        mock_get_embedding_model.assert_not_called()\n\n        # Verify payload has no embedding\n        self.mock_vdb_core.create_chunk.assert_called_once()\n        _, payload = self.mock_vdb_core.create_chunk.call_args[0]\n        self.assertNotIn(\"embedding\", payload)\n\n    @patch('backend.services.vectordatabase_service.get_knowledge_record')\n    @patch('backend.services.vectordatabase_service.get_embedding_model')\n    def test_create_chunk_handles_embedding_failure_gracefully(self, mock_get_embedding_model, mock_get_knowledge_record):\n        \"\"\"\n        Test create_chunk handles embedding generation failure gracefully.\n        \"\"\"\n        from types import SimpleNamespace\n\n        self.mock_vdb_core.create_chunk.return_value = {\"id\": \"chunk-1\"}\n\n        mock_get_knowledge_record.return_value = {\n            \"index_name\": \"kb-index\",\n            \"embedding_model_name\": \"text-embedding-3-small\"\n        }\n\n        # Embedding model raises exception\n        mock_get_embedding_model.side_effect = Exception(\"Embedding service unavailable\")\n\n        chunk_request = SimpleNamespace(\n            chunk_id=None,\n            title=None,\n            filename=\"file.txt\",\n            path_or_url=\"doc-1\",\n            content=\"Content that would need embedding\",\n            metadata={},\n        )\n\n        # Should not raise exception, just log warning\n        result = ElasticSearchService.create_chunk(\n            index_name=\"kb-index\",\n            chunk_request=chunk_request,\n            vdb_core=self.mock_vdb_core,\n            user_id=\"user-1\",\n            tenant_id=\"tenant-123\",\n        )\n\n        # Result should still be successful (embedding is optional)\n        self.assertEqual(result[\"status\"], \"success\")\n        self.assertEqual(result[\"chunk_id\"], \"chunk-1\")\n\n        # Verify chunk was still created without embedding\n        self.mock_vdb_core.create_chunk.assert_called_once()\n\n    @patch('backend.services.vectordatabase_service.get_knowledge_record')\n    @patch('backend.services.vectordatabase_service.get_embedding_model')\n    def test_create_chunk_handles_empty_embedding_result(self, mock_get_embedding_model, mock_get_knowledge_record):\n        \"\"\"\n        Test create_chunk handles empty embedding result gracefully.\n        \"\"\"\n        from types import SimpleNamespace\n\n        self.mock_vdb_core.create_chunk.return_value = {\"id\": \"chunk-1\"}\n\n        mock_get_knowledge_record.return_value = {\n            \"index_name\": \"kb-index\",\n            \"embedding_model_name\": \"text-embedding-3-small\"\n        }\n\n        # Embedding returns empty list\n        mock_embedding = MagicMock()\n        mock_embedding.get_embeddings.return_value = []\n        mock_get_embedding_model.return_value = mock_embedding\n\n        chunk_request = SimpleNamespace(\n            chunk_id=None,\n            title=None,\n            filename=\"file.txt\",\n            path_or_url=\"doc-1\",\n            content=\"Content with empty embedding\",\n            metadata={},\n        )\n\n        result = ElasticSearchService.create_chunk(\n            index_name=\"kb-index\",\n            chunk_request=chunk_request,\n            vdb_core=self.mock_vdb_core,\n            user_id=\"user-1\",\n            tenant_id=\"tenant-123\",\n        )\n\n        # Result should still be successful\n        self.assertEqual(result[\"status\"], \"success\")\n\n        # Verify payload has no embedding when embedding is empty\n        self.mock_vdb_core.create_chunk.assert_called_once()\n        _, payload = self.mock_vdb_core.create_chunk.call_args[0]\n        self.assertNotIn(\"embedding\", payload)\n\n    @patch('backend.services.vectordatabase_service.get_knowledge_record')\n    @patch('backend.services.vectordatabase_service.get_embedding_model')\n    def test_create_chunk_with_unknown_model_name_still_calls_embedding_model(self, mock_get_embedding_model, mock_get_knowledge_record):\n        \"\"\"\n        Test create_chunk when knowledge record has unknown embedding model.\n        The backend still calls get_embedding_model (it doesn't check for \"unknown\").\n        The \"unknown\" check is only in the frontend's read-only mode logic.\n        \"\"\"\n        from types import SimpleNamespace\n\n        self.mock_vdb_core.create_chunk.return_value = {\"id\": \"chunk-1\"}\n\n        # Knowledge record returns \"unknown\" as embedding model\n        mock_get_knowledge_record.return_value = {\n            \"index_name\": \"kb-index\",\n            \"embedding_model_name\": \"unknown\"\n        }\n\n        # Embedding model returns empty (model doesn't exist)\n        mock_embedding = MagicMock()\n        mock_embedding.get_embeddings.return_value = []\n        mock_get_embedding_model.return_value = mock_embedding\n\n        chunk_request = SimpleNamespace(\n            chunk_id=None,\n            title=None,\n            filename=\"file.txt\",\n            path_or_url=\"doc-1\",\n            content=\"Content with unknown model\",\n            metadata={},\n        )\n\n        result = ElasticSearchService.create_chunk(\n            index_name=\"kb-index\",\n            chunk_request=chunk_request,\n            vdb_core=self.mock_vdb_core,\n            user_id=\"user-1\",\n            tenant_id=\"tenant-123\",\n        )\n\n        # Should succeed, embedding model IS called but returns empty\n        self.assertEqual(result[\"status\"], \"success\")\n\n        # Verify embedding model was called (backend doesn't skip based on \"unknown\")\n        mock_get_embedding_model.assert_called_once_with(\"tenant-123\", \"unknown\")\n\n    def test_update_chunk_builds_payload_and_calls_core(self):\n        \"\"\"\n        Test update_chunk builds update payload and delegates to vdb_core.update_chunk.\n        \"\"\"\n\n        class DummyUpdate:\n            def __init__(self, **fields):\n                self._fields = fields\n                # Expose metadata attribute like real Pydantic model\n                self.metadata = fields.get(\"metadata\")\n\n            def dict(self, exclude_unset=True, exclude=None):\n                data = dict(self._fields)\n                if exclude:\n                    for key in exclude:\n                        data.pop(key, None)\n                return data\n\n        self.mock_vdb_core.update_chunk.return_value = {\"id\": \"chunk-1\"}\n        chunk_request = DummyUpdate(\n            content=\"updated\",\n            filename=\"updated.txt\",\n            metadata={\"lang\": \"en\"},\n        )\n\n        result = ElasticSearchService.update_chunk(\n            index_name=\"kb-index\",\n            chunk_id=\"chunk-1\",\n            chunk_request=chunk_request,\n            vdb_core=self.mock_vdb_core,\n            user_id=\"user-1\",\n        )\n\n        self.assertEqual(result[\"status\"], \"success\")\n        self.assertEqual(result[\"chunk_id\"], \"chunk-1\")\n        self.mock_vdb_core.update_chunk.assert_called_once_with(\n            \"kb-index\", \"chunk-1\", ANY\n        )\n\n    def test_delete_chunk_success(self):\n        \"\"\"\n        Test delete_chunk returns success when vdb_core.delete_chunk is True.\n        \"\"\"\n        self.mock_vdb_core.delete_chunk.return_value = True\n\n        result = ElasticSearchService.delete_chunk(\n            index_name=\"kb-index\",\n            chunk_id=\"chunk-1\",\n            vdb_core=self.mock_vdb_core,\n        )\n\n        self.assertEqual(result[\"status\"], \"success\")\n        self.assertEqual(result[\"chunk_id\"], \"chunk-1\")\n        self.mock_vdb_core.delete_chunk.assert_called_once_with(\n            \"kb-index\", \"chunk-1\"\n        )\n\n    def test_delete_chunk_not_found_raises_value_error(self):\n        \"\"\"\n        Test delete_chunk raises ValueError when vdb_core.delete_chunk returns False.\n        \"\"\"\n        self.mock_vdb_core.delete_chunk.return_value = False\n\n        with self.assertRaises(Exception) as exc:\n            ElasticSearchService.delete_chunk(\n                index_name=\"kb-index\",\n                chunk_id=\"missing\",\n                vdb_core=self.mock_vdb_core,\n            )\n\n        self.assertIn(\n            \"Error deleting chunk: Chunk missing not found in index kb-index\", str(exc.exception))\n\n    @patch('backend.services.vectordatabase_service.query_group_ids_by_user')\n    @patch('backend.services.vectordatabase_service.get_user_tenant_by_user_id')\n    @patch('backend.services.vectordatabase_service.get_knowledge_info_by_tenant_id')\n    @patch('fastapi.Response')\n    def test_list_indices_success_status_200(self, mock_response, mock_get_knowledge, mock_get_user_tenant, mock_get_group_ids):\n        \"\"\"\n        Test list_indices method returns status code 200 on success.\n\n        This test verifies that:\n        1. The list_indices method successfully retrieves indices\n        2. The response is a dictionary containing the expected data\n        3. The method completes without raising exceptions, implying a 200 status code\n        \"\"\"\n        # Setup\n        self.mock_vdb_core.get_user_indices.return_value = [\"index1\", \"index2\"]\n        mock_response.status_code = 200\n        mock_get_knowledge.return_value = [\n            {\"index_name\": \"index1\",\n                \"embedding_model_name\": \"test-model\", \"group_ids\": \"1,2\", \"knowledge_sources\": \"elasticsearch\"},\n            {\"index_name\": \"index2\", \"embedding_model_name\": \"test-model\",\n                \"group_ids\": \"\", \"knowledge_sources\": \"elasticsearch\"}\n        ]\n        mock_get_user_tenant.return_value = {\n            \"user_role\": \"SU\", \"tenant_id\": \"test_tenant\"}\n        mock_get_group_ids.return_value = []\n\n        # Execute\n        result = ElasticSearchService.list_indices(\n            pattern=\"*\",\n            include_stats=False,\n            target_tenant_id=\"test_tenant\",  # Now required parameter\n            user_id=\"test_user\",  # New required parameter\n            vdb_core=self.mock_vdb_core\n        )\n\n        # Assert\n        self.assertEqual(len(result[\"indices\"]), 2)\n        self.assertEqual(result[\"count\"], 2)\n        # Verify no exception is raised, implying 200 status code\n        self.assertIsInstance(result, dict)  # Success response is a dictionary\n        self.mock_vdb_core.get_user_indices.assert_called_once_with(\"*\")\n        mock_get_knowledge.assert_called_once_with(\"test_tenant\")\n\n    def test_health_check_success_status_200(self):\n        \"\"\"\n        Test health_check method returns status code 200 on success.\n\n        This test verifies that:\n        1. The health_check method successfully checks Elasticsearch health\n        2. The response is a dictionary with a \"healthy\" status\n        3. The method completes without raising exceptions, implying a 200 status code\n        \"\"\"\n        # Setup\n        self.mock_vdb_core.get_user_indices.return_value = [\"index1\", \"index2\"]\n\n        # Execute\n        result = ElasticSearchService.health_check(vdb_core=self.mock_vdb_core)\n\n        # Assert\n        self.assertEqual(result[\"status\"], \"healthy\")\n        self.assertEqual(result[\"elasticsearch\"], \"connected\")\n        # Verify successful response status - 200\n        self.assertIsInstance(result, dict)  # Success response is a dictionary\n\n    def test_get_random_documents_success_status_200(self):\n        \"\"\"\n        Test get_random_documents method returns status code 200 on success.\n\n        This test verifies that:\n        1. The get_random_documents method successfully retrieves random documents\n        2. The response contains the expected data structure with total and documents\n        3. The method completes without raising exceptions, implying a 200 status code\n        \"\"\"\n        # Setup\n        self.mock_vdb_core.count_documents.return_value = 100\n\n        search_response = {\n            'hits': {\n                'hits': [\n                    {\n                        '_id': 'doc1',\n                        '_source': {\"title\": \"Doc1\", \"content\": \"Content1\"}\n                    }\n                ]\n            }\n        }\n        self.mock_vdb_core.search.return_value = search_response\n\n        # Execute\n        result = ElasticSearchService.get_random_documents(\n            index_name=\"test_index\",\n            batch_size=10,\n            vdb_core=self.mock_vdb_core\n        )\n\n        # Assert\n        self.assertEqual(result[\"total\"], 100)\n        self.assertEqual(len(result[\"documents\"]), 1)\n        # Verify successful response status - 200\n        self.assertIsInstance(result, dict)  # Success response is a dictionary\n        self.assertIn(\"total\", result)\n        self.assertIn(\"documents\", result)\n\n    def test_semantic_search_success_status_200(self):\n        \"\"\"\n        Test semantic_search method returns status code 200 on success.\n\n        This test verifies that:\n        1. The semantic_search method successfully performs a search\n        2. The response contains the expected search results\n        3. The method completes without raising exceptions, implying a 200 status code\n        \"\"\"\n        # Setup\n        search_request = MagicMock()\n        search_request.index_names = [\"test_index\"]\n        search_request.query = \"valid query\"\n        search_request.top_k = 10\n\n        self.mock_vdb_core.semantic_search.return_value = [\n            {\n                \"document\": {\"title\": \"Doc1\", \"content\": \"Content1\"},\n                \"score\": 0.85,\n                \"index\": \"test_index\"\n            }\n        ]\n\n        # Execute\n        result = ElasticSearchService.semantic_search(\n            request=search_request,\n            vdb_core=self.mock_vdb_core\n        )\n\n        # Assert\n        self.assertEqual(len(result[\"results\"]), 1)\n        # Verify successful response status - 200\n        self.assertIsInstance(result, dict)\n        self.assertIn(\"results\", result)\n        self.assertIn(\"total\", result)\n        self.assertIn(\"query_time_ms\", result)\n        self.mock_vdb_core.semantic_search.assert_called_once_with(\n            index_names=[\"test_index\"], query=\"valid query\", top_k=10\n        )\n\n    @patch('backend.services.vectordatabase_service.tenant_config_manager')\n    @patch('backend.services.vectordatabase_service.get_knowledge_record')\n    def test_vectorize_documents_success_status_200(self, mock_get_record, mock_tenant_cfg):\n        \"\"\"\n        Test vectorize_documents method returns status code 200 on success.\n\n        This test verifies that:\n        1. The vectorize_documents method successfully indexes multiple documents\n        2. The response indicates success and correct document counts\n        3. The method completes without raising exceptions, implying a 200 status code\n        \"\"\"\n        # Setup\n        self.mock_vdb_core.check_index_exists.return_value = True\n        self.mock_vdb_core.vectorize_documents.return_value = 3\n        mock_embedding_model = MagicMock()\n        mock_embedding_model.model = \"test-model\"\n        mock_get_record.return_value = {\"tenant_id\": \"tenant-1\"}\n        mock_tenant_cfg.get_model_config.return_value = {\"chunk_batch\": 10}\n\n        test_data = [\n            {\n                \"metadata\": {\"title\": \"Test1\", \"languages\": [\"en\"]},\n                \"path_or_url\": \"path1\",\n                \"content\": \"Content1\"\n            },\n            {\n                \"metadata\": {\"title\": \"Test2\", \"languages\": [\"zh\"]},\n                \"path_or_url\": \"path2\",\n                \"content\": \"Content2\"\n            },\n            {\n                \"metadata\": {\"title\": \"Test3\", \"languages\": [\"fr\"]},\n                \"path_or_url\": \"path3\",\n                \"content\": \"Content3\"\n            }\n        ]\n\n        # Execute\n        result = ElasticSearchService.index_documents(\n            index_name=\"test_index\",\n            data=test_data,\n            vdb_core=self.mock_vdb_core,\n            embedding_model=mock_embedding_model\n        )\n\n        # Assert\n        self.assertTrue(result[\"success\"])\n        self.assertEqual(result[\"total_indexed\"], 3)\n        self.assertEqual(result[\"total_submitted\"], 3)\n        # Verify successful response status - 200\n        self.assertIsInstance(result, dict)\n        self.assertIn(\"success\", result)\n        self.assertTrue(result[\"success\"])\n\n    @patch('backend.services.vectordatabase_service.delete_file')\n    def test_delete_documents_success_status_200(self, mock_delete_file):\n        \"\"\"\n        Test delete_documents method returns status code 200 on success.\n\n        This test verifies that:\n        1. The delete_documents method successfully deletes documents\n        2. The response indicates success\n        3. The method completes without raising exceptions, implying a 200 status code\n        \"\"\"\n        # Setup\n        self.mock_vdb_core.delete_documents.return_value = 5\n        # Configure delete_file to return a success response\n        mock_delete_file.return_value = {\n            \"success\": True, \"object_name\": \"test_path\"}\n\n        # Execute\n        result = ElasticSearchService.delete_documents(\n            index_name=\"test_index\",\n            path_or_url=\"test_path\",\n            vdb_core=self.mock_vdb_core\n        )\n\n        # Assert\n        # Verify successful response status - 200\n        self.assertIsInstance(result, dict)\n        self.assertEqual(result[\"status\"], \"success\")\n        self.assertEqual(result[\"deleted_minio\"], True)\n        # Verify that delete_documents was called with correct parameters\n        self.mock_vdb_core.delete_documents.assert_called_once_with(\n            \"test_index\", \"test_path\")\n        # Verify that delete_file was called with the correct path\n        mock_delete_file.assert_called_once_with(\"test_path\")\n\n    @patch('backend.services.vectordatabase_service.get_knowledge_record')\n    def test_get_summary_success_status_200(self, mock_get_record):\n        \"\"\"\n        Test get_summary method returns status code 200 on success.\n\n        This test verifies that:\n        1. The get_summary method successfully retrieves a knowledge base summary\n        2. The response indicates success and contains the summary\n        3. The method completes without raising exceptions, implying a 200 status code\n        \"\"\"\n        # Setup\n        mock_get_record.return_value = {\n            \"knowledge_describe\": \"This is a test summary for knowledge base\"\n        }\n\n        # Execute\n        result = self.es_service.get_summary(index_name=\"test_index\")\n\n        # Assert\n        self.assertEqual(result[\"status\"], \"success\")\n        self.assertEqual(result[\"summary\"],\n                         \"This is a test summary for knowledge base\")\n        # Verify successful response status - 200\n        self.assertIsInstance(result, dict)\n        self.assertEqual(result[\"status\"], \"success\")\n        mock_get_record.assert_called_once_with({'index_name': 'test_index'})\n\n    @patch('backend.services.vectordatabase_service.get_knowledge_record')\n    def test_check_kb_exist_available(self, mock_get_knowledge):\n        \"\"\"Test knowledge base name availability when not found in tenant.\"\"\"\n        # Setup: knowledge_name not found in tenant\n        mock_get_knowledge.return_value = None\n\n        # Execute\n        result = check_knowledge_base_exist_impl(\n            knowledge_name=\"test_kb\",\n            vdb_core=self.mock_vdb_core,\n            user_id=\"test_user\",\n            tenant_id=\"tenant1\"\n        )\n\n        # Assert\n        mock_get_knowledge.assert_called_once_with({\n            \"knowledge_name\": \"test_kb\",\n            \"tenant_id\": \"tenant1\"\n        })\n        self.assertEqual(result[\"status\"], \"available\")\n\n    @patch('backend.services.vectordatabase_service.get_knowledge_record')\n    def test_check_kb_exist_exists_in_tenant(self, mock_get_knowledge):\n        \"\"\"Test detection when knowledge base exists within the same tenant.\"\"\"\n        # Setup: knowledge_name exists in tenant\n        mock_get_knowledge.return_value = {\n            \"knowledge_name\": \"test_kb\", \"tenant_id\": \"tenant1\"}\n\n        # Execute\n        result = check_knowledge_base_exist_impl(\n            knowledge_name=\"test_kb\",\n            vdb_core=self.mock_vdb_core,\n            user_id=\"test_user\",\n            tenant_id=\"tenant1\"\n        )\n\n        # Assert\n        mock_get_knowledge.assert_called_once_with({\n            \"knowledge_name\": \"test_kb\",\n            \"tenant_id\": \"tenant1\"\n        })\n        self.assertEqual(result[\"status\"], \"exists_in_tenant\")\n\n    # Note: generate_knowledge_summary_stream function has been removed\n    # These tests are no longer relevant as the function was replaced with summary_index_name\n\n    def test_get_vdb_core(self):\n        \"\"\"\n        Test get_vdb_core function returns the elastic_core instance.\n\n        This test verifies that:\n        1. The get_vdb_core function returns the correct elastic_core instance\n        2. The function is properly imported and accessible\n        \"\"\"\n        from backend.services.vectordatabase_service import get_vector_db_core\n\n        # Execute\n        result = get_vector_db_core()\n\n        # Assert\n        self.assertIsNotNone(result)\n        # The result should be the elastic_core instance\n        self.assertTrue(hasattr(result, 'client'))\n\n    @patch('backend.services.vectordatabase_service.tenant_config_manager')\n    def test_get_embedding_model_embedding_type(self, mock_tenant_config_manager):\n        \"\"\"\n        Test get_embedding_model with embedding model type.\n\n        This test verifies that:\n        1. When model_type is \"embedding\", OpenAICompatibleEmbedding is returned\n        2. The correct parameters are passed to the embedding model\n        \"\"\"\n        # Setup\n        mock_config = {\n            \"model_type\": \"embedding\",\n            \"api_key\": \"test_api_key\",\n            \"base_url\": \"https://test.api.com\",\n            \"model_name\": \"test-model\",\n            \"max_tokens\": 1024\n        }\n        mock_tenant_config_manager.get_model_config.return_value = mock_config\n\n        # Stop the mock from setUp to test the real function\n        self.get_embedding_model_patcher.stop()\n\n        try:\n            with patch('backend.services.vectordatabase_service.OpenAICompatibleEmbedding') as mock_embedding_class, \\\n                    patch('backend.services.vectordatabase_service.get_model_name_from_config') as mock_get_model_name:\n                mock_embedding_instance = MagicMock()\n                mock_embedding_class.return_value = mock_embedding_instance\n                mock_get_model_name.return_value = \"test-model\"\n\n                # Execute - now we can call the real function\n                from backend.services.vectordatabase_service import get_embedding_model\n                result = get_embedding_model(\"test_tenant\")\n\n                # Assert\n                self.assertEqual(result, mock_embedding_instance)\n                mock_tenant_config_manager.get_model_config.assert_called_once_with(\n                    key=\"EMBEDDING_ID\", tenant_id=\"test_tenant\")\n                mock_embedding_class.assert_called_once_with(\n                    api_key=\"test_api_key\",\n                    base_url=\"https://test.api.com\",\n                    model_name=\"test-model\",\n                    embedding_dim=1024,\n                    ssl_verify=True\n                )\n        finally:\n            # Restart the mock for other tests\n            self.get_embedding_model_patcher.start()\n\n    @patch('backend.services.vectordatabase_service.tenant_config_manager')\n    def test_get_embedding_model_multi_embedding_type(self, mock_tenant_config_manager):\n        \"\"\"\n        Test get_embedding_model with multi_embedding model type.\n\n        This test verifies that:\n        1. When model_type is \"multi_embedding\", JinaEmbedding is returned\n        2. The correct parameters are passed to the embedding model\n        \"\"\"\n        # Setup\n        mock_config = {\n            \"model_type\": \"multi_embedding\",\n            \"api_key\": \"test_api_key\",\n            \"base_url\": \"https://test.api.com\",\n            \"model_name\": \"test-model\",\n            \"max_tokens\": 2048\n        }\n        mock_tenant_config_manager.get_model_config.return_value = mock_config\n\n        # Stop the mock from setUp to test the real function\n        self.get_embedding_model_patcher.stop()\n\n        try:\n            with patch('backend.services.vectordatabase_service.JinaEmbedding') as mock_embedding_class, \\\n                    patch('backend.services.vectordatabase_service.get_model_name_from_config') as mock_get_model_name:\n                mock_embedding_instance = MagicMock()\n                mock_embedding_class.return_value = mock_embedding_instance\n                mock_get_model_name.return_value = \"test-model\"\n\n                # Execute - now we can call the real function\n                from backend.services.vectordatabase_service import get_embedding_model\n                result = get_embedding_model(\"test_tenant\")\n\n                # Assert\n                self.assertEqual(result, mock_embedding_instance)\n                mock_tenant_config_manager.get_model_config.assert_called_once_with(\n                    key=\"EMBEDDING_ID\", tenant_id=\"test_tenant\")\n                mock_embedding_class.assert_called_once_with(\n                    api_key=\"test_api_key\",\n                    base_url=\"https://test.api.com\",\n                    model_name=\"test-model\",\n                    embedding_dim=2048,\n                    ssl_verify=True\n                )\n        finally:\n            # Restart the mock for other tests\n            self.get_embedding_model_patcher.start()\n\n    @patch('backend.services.vectordatabase_service.tenant_config_manager')\n    def test_get_embedding_model_unknown_type(self, mock_tenant_config_manager):\n        \"\"\"\n        Test get_embedding_model with unknown model type.\n\n        This test verifies that:\n        1. When model_type is neither \"embedding\" nor \"multi_embedding\", None is returned\n        2. The function handles unknown model types gracefully\n        \"\"\"\n        # Setup\n        mock_config = {\n            \"model_type\": \"unknown_type\",\n            \"api_key\": \"test_api_key\",\n            \"base_url\": \"https://test.api.com\",\n            \"model_name\": \"test-model\",\n            \"max_tokens\": 1024\n        }\n        mock_tenant_config_manager.get_model_config.return_value = mock_config\n\n        # Stop the mock from setUp to test the real function\n        self.get_embedding_model_patcher.stop()\n\n        try:\n            # Execute - now we can call the real function\n            from backend.services.vectordatabase_service import get_embedding_model\n            result = get_embedding_model(\"test_tenant\")\n\n            # Assert\n            self.assertIsNone(result)\n            mock_tenant_config_manager.get_model_config.assert_called_once_with(\n                key=\"EMBEDDING_ID\", tenant_id=\"test_tenant\")\n        finally:\n            # Restart the mock for other tests\n            self.get_embedding_model_patcher.start()\n\n    @patch('backend.services.vectordatabase_service.tenant_config_manager')\n    def test_get_embedding_model_empty_type(self, mock_tenant_config_manager):\n        \"\"\"\n        Test get_embedding_model with empty model type.\n\n        This test verifies that:\n        1. When model_type is empty string, None is returned\n        2. The function handles empty model types gracefully\n        \"\"\"\n        # Setup\n        mock_config = {\n            \"model_type\": \"\",\n            \"api_key\": \"test_api_key\",\n            \"base_url\": \"https://test.api.com\",\n            \"model_name\": \"test-model\",\n            \"max_tokens\": 1024\n        }\n        mock_tenant_config_manager.get_model_config.return_value = mock_config\n\n        # Stop the mock from setUp to test the real function\n        self.get_embedding_model_patcher.stop()\n\n        try:\n            # Execute - now we can call the real function\n            from backend.services.vectordatabase_service import get_embedding_model\n            result = get_embedding_model(\"test_tenant\")\n\n            # Assert\n            self.assertIsNone(result)\n            mock_tenant_config_manager.get_model_config.assert_called_once_with(\n                key=\"EMBEDDING_ID\", tenant_id=\"test_tenant\")\n        finally:\n            # Restart the mock for other tests\n            self.get_embedding_model_patcher.start()\n\n    @patch('backend.services.vectordatabase_service.tenant_config_manager')\n    def test_get_embedding_model_missing_type(self, mock_tenant_config_manager):\n        \"\"\"\n        Test get_embedding_model with missing model type.\n\n        This test verifies that:\n        1. When model_type is missing from config, None is returned\n        2. The function handles missing model types gracefully\n        \"\"\"\n        # Setup\n        mock_config = {\n            \"api_key\": \"test_api_key\",\n            \"base_url\": \"https://test.api.com\",\n            \"model_name\": \"test-model\",\n            \"max_tokens\": 1024\n        }\n        mock_tenant_config_manager.get_model_config.return_value = mock_config\n\n        # Stop the mock from setUp to test the real function\n        self.get_embedding_model_patcher.stop()\n\n        try:\n            # Execute - now we can call the real function\n            from backend.services.vectordatabase_service import get_embedding_model\n            result = get_embedding_model(\"test_tenant\")\n\n            # Assert\n            self.assertIsNone(result)\n            mock_tenant_config_manager.get_model_config.assert_called_once_with(\n                key=\"EMBEDDING_ID\", tenant_id=\"test_tenant\")\n        finally:\n            # Restart the mock for other tests\n            self.get_embedding_model_patcher.start()\n\n    @patch('backend.services.vectordatabase_service.tenant_config_manager')\n    @patch('backend.services.vectordatabase_service.get_model_records')\n    def test_get_embedding_model_with_model_name_found(self, mock_get_models, mock_tenant_config_manager):\n        \"\"\"\n        Test get_embedding_model with model_name parameter when the model is found.\n\n        This test verifies that:\n        1. When model_name is provided and found in tenant's models, OpenAICompatibleEmbedding is returned\n        2. The correct parameters are passed to the embedding model\n        3. The function uses model_repo/model_name format for matching\n        \"\"\"\n        # Setup - mock get_models to return a model that matches\n        mock_get_models.return_value = [\n            {\n                \"model_repo\": \"openai\",\n                \"model_name\": \"text-embedding-ada-002\",\n                \"api_key\": \"test_api_key\",\n                \"base_url\": \"https://test.api.com\",\n                \"max_tokens\": 1024,\n                \"ssl_verify\": True\n            }\n        ]\n\n        # Mock tenant config for fallback behavior (should NOT be called when model is found)\n        mock_tenant_config_manager.get_model_config.return_value = {\n            \"model_type\": \"embedding\",\n            \"api_key\": \"fallback_key\",\n            \"base_url\": \"https://fallback.api.com\",\n            \"model_name\": \"fallback-model\",\n            \"max_tokens\": 1024\n        }\n\n        # Stop the mock from setUp to test the real function\n        self.get_embedding_model_patcher.stop()\n\n        try:\n            with patch('backend.services.vectordatabase_service.OpenAICompatibleEmbedding') as mock_embedding_class, \\\n                    patch('backend.services.vectordatabase_service.get_model_name_from_config') as mock_get_model_name:\n                mock_embedding_instance = MagicMock()\n                mock_embedding_class.return_value = mock_embedding_instance\n                mock_get_model_name.return_value = \"text-embedding-ada-002\"\n\n                # Execute - now we can call the real function\n                from backend.services.vectordatabase_service import get_embedding_model\n                result = get_embedding_model(\"test_tenant\", model_name=\"openai/text-embedding-ada-002\")\n\n                # Assert\n                self.assertEqual(result, mock_embedding_instance)\n                mock_get_models.assert_called_once_with(\n                    {\"model_type\": \"embedding\"}, \"test_tenant\")\n                mock_embedding_class.assert_called_once_with(\n                    api_key=\"test_api_key\",\n                    base_url=\"https://test.api.com\",\n                    model_name=\"text-embedding-ada-002\",\n                    embedding_dim=1024,\n                    ssl_verify=True\n                )\n                # Tenant config should NOT be called when model is found\n                mock_tenant_config_manager.get_model_config.assert_not_called()\n        finally:\n            # Restart the mock for other tests\n            self.get_embedding_model_patcher.start()\n\n    @patch('backend.services.vectordatabase_service.tenant_config_manager')\n    @patch('backend.services.vectordatabase_service.get_model_records')\n    def test_get_embedding_model_with_model_name_found_without_repo(self, mock_get_models, mock_tenant_config_manager):\n        \"\"\"\n        Test get_embedding_model with model_name when model is found without model_repo.\n\n        This test verifies that:\n        1. When model_name is provided and found (without model_repo), OpenAICompatibleEmbedding is returned\n        2. The function handles models without model_repo correctly using just model_name\n        \"\"\"\n        # Setup - mock get_models to return a model without model_repo\n        mock_get_models.return_value = [\n            {\n                \"model_name\": \"simple-model\",\n                \"api_key\": \"test_api_key\",\n                \"base_url\": \"https://test.api.com\",\n                \"max_tokens\": 2048,\n                \"ssl_verify\": False\n            }\n        ]\n\n        # Mock tenant config for fallback behavior (should NOT be called when model is found)\n        mock_tenant_config_manager.get_model_config.return_value = {\n            \"model_type\": \"embedding\",\n            \"api_key\": \"fallback_key\",\n            \"base_url\": \"https://fallback.api.com\",\n            \"model_name\": \"fallback-model\",\n            \"max_tokens\": 1024\n        }\n\n        # Stop the mock from setUp to test the real function\n        self.get_embedding_model_patcher.stop()\n\n        try:\n            with patch('backend.services.vectordatabase_service.OpenAICompatibleEmbedding') as mock_embedding_class, \\\n                    patch('backend.services.vectordatabase_service.get_model_name_from_config') as mock_get_model_name:\n                mock_embedding_instance = MagicMock()\n                mock_embedding_class.return_value = mock_embedding_instance\n                mock_get_model_name.return_value = \"simple-model\"\n\n                # Execute - now we can call the real function\n                from backend.services.vectordatabase_service import get_embedding_model\n                result = get_embedding_model(\"test_tenant\", model_name=\"simple-model\")\n\n                # Assert\n                self.assertEqual(result, mock_embedding_instance)\n                mock_get_models.assert_called_once_with(\n                    {\"model_type\": \"embedding\"}, \"test_tenant\")\n                mock_embedding_class.assert_called_once_with(\n                    api_key=\"test_api_key\",\n                    base_url=\"https://test.api.com\",\n                    model_name=\"simple-model\",\n                    embedding_dim=2048,\n                    ssl_verify=False\n                )\n        finally:\n            # Restart the mock for other tests\n            self.get_embedding_model_patcher.start()\n\n    @patch('backend.services.vectordatabase_service.tenant_config_manager')\n    @patch('backend.services.vectordatabase_service.get_model_records')\n    def test_get_embedding_model_with_model_name_not_found(self, mock_get_models, mock_tenant_config_manager):\n        \"\"\"\n        Test get_embedding_model with model_name when the model is not found.\n\n        This test verifies that:\n        1. When model_name is provided but not found in tenant's models, fallback to default config\n        2. The function falls back to default embedding model behavior\n        \"\"\"\n        # Setup - mock get_models to return empty list (model not found)\n        mock_get_models.return_value = []\n\n        # Mock tenant config for fallback behavior\n        mock_config = {\n            \"model_type\": \"embedding\",\n            \"api_key\": \"fallback_api_key\",\n            \"base_url\": \"https://fallback.api.com\",\n            \"model_name\": \"fallback-model\",\n            \"max_tokens\": 1024\n        }\n        mock_tenant_config_manager.get_model_config.return_value = mock_config\n\n        # Stop the mock from setUp to test the real function\n        self.get_embedding_model_patcher.stop()\n\n        try:\n            with patch('backend.services.vectordatabase_service.OpenAICompatibleEmbedding') as mock_embedding_class, \\\n                    patch('backend.services.vectordatabase_service.get_model_name_from_config') as mock_get_model_name:\n                mock_embedding_instance = MagicMock()\n                mock_embedding_class.return_value = mock_embedding_instance\n                mock_get_model_name.return_value = \"fallback-model\"\n\n                # Execute - now we can call the real function\n                from backend.services.vectordatabase_service import get_embedding_model\n                result = get_embedding_model(\"test_tenant\", model_name=\"nonexistent-model\")\n\n                # Assert\n                self.assertEqual(result, mock_embedding_instance)\n                mock_get_models.assert_called_once_with(\n                    {\"model_type\": \"embedding\"}, \"test_tenant\")\n                # Should fall back to default config\n                mock_tenant_config_manager.get_model_config.assert_called_once_with(\n                    key=\"EMBEDDING_ID\", tenant_id=\"test_tenant\")\n                mock_embedding_class.assert_called_once_with(\n                    api_key=\"fallback_api_key\",\n                    base_url=\"https://fallback.api.com\",\n                    model_name=\"fallback-model\",\n                    embedding_dim=1024,\n                    ssl_verify=True\n                )\n        finally:\n            # Restart the mock for other tests\n            self.get_embedding_model_patcher.start()\n\n    @patch('backend.services.vectordatabase_service.tenant_config_manager')\n    @patch('backend.services.vectordatabase_service.get_model_records')\n    def test_get_embedding_model_with_model_name_exception(self, mock_get_models, mock_tenant_config_manager):\n        \"\"\"\n        Test get_embedding_model with model_name when database query throws exception.\n\n        This test verifies that:\n        1. When get_models throws an exception, the function logs a warning and falls back to default config\n        2. The function handles exceptions gracefully\n        \"\"\"\n        # Setup - mock get_models to throw an exception\n        mock_get_models.side_effect = Exception(\"Database connection failed\")\n\n        # Mock tenant config for fallback behavior\n        mock_config = {\n            \"model_type\": \"embedding\",\n            \"api_key\": \"fallback_api_key\",\n            \"base_url\": \"https://fallback.api.com\",\n            \"model_name\": \"fallback-model\",\n            \"max_tokens\": 1024\n        }\n        mock_tenant_config_manager.get_model_config.return_value = mock_config\n\n        # Stop the mock from setUp to test the real function\n        self.get_embedding_model_patcher.stop()\n\n        try:\n            with patch('backend.services.vectordatabase_service.OpenAICompatibleEmbedding') as mock_embedding_class, \\\n                    patch('backend.services.vectordatabase_service.get_model_name_from_config') as mock_get_model_name:\n                mock_embedding_instance = MagicMock()\n                mock_embedding_class.return_value = mock_embedding_instance\n                mock_get_model_name.return_value = \"fallback-model\"\n\n                # Execute - now we can call the real function\n                from backend.services.vectordatabase_service import get_embedding_model\n                result = get_embedding_model(\"test_tenant\", model_name=\"test-model\")\n\n                # Assert - should fall back to default config\n                self.assertEqual(result, mock_embedding_instance)\n                mock_get_models.assert_called_once_with(\n                    {\"model_type\": \"embedding\"}, \"test_tenant\")\n                mock_tenant_config_manager.get_model_config.assert_called_once_with(\n                    key=\"EMBEDDING_ID\", tenant_id=\"test_tenant\")\n                mock_embedding_class.assert_called_once_with(\n                    api_key=\"fallback_api_key\",\n                    base_url=\"https://fallback.api.com\",\n                    model_name=\"fallback-model\",\n                    embedding_dim=1024,\n                    ssl_verify=True\n                )\n        finally:\n            # Restart the mock for other tests\n            self.get_embedding_model_patcher.start()\n\n    @patch('backend.services.vectordatabase_service.get_redis_service')\n    def test_update_progress_success(self, mock_get_redis):\n        \"\"\"Ensure _update_progress updates Redis progress when not cancelled.\"\"\"\n        from backend.services.vectordatabase_service import _update_progress\n\n        mock_redis = MagicMock()\n        mock_redis.is_task_cancelled.return_value = False\n        mock_redis.save_progress_info.return_value = True\n        mock_get_redis.return_value = mock_redis\n\n        _update_progress(\"task-1\", 5, 10)\n\n        mock_redis.is_task_cancelled.assert_called_once_with(\"task-1\")\n        mock_redis.save_progress_info.assert_called_once_with(\"task-1\", 5, 10)\n\n    @patch('backend.services.vectordatabase_service.get_redis_service')\n    def test_update_progress_save_failure(self, mock_get_redis):\n        \"\"\"_update_progress logs a warning when saving progress fails.\"\"\"\n        from backend.services.vectordatabase_service import _update_progress\n\n        mock_redis = MagicMock()\n        mock_redis.is_task_cancelled.return_value = False\n        mock_redis.save_progress_info.return_value = False\n        mock_get_redis.return_value = mock_redis\n\n        _update_progress(\"task-2\", 1, 2)\n\n        mock_redis.is_task_cancelled.assert_called_once_with(\"task-2\")\n        mock_redis.save_progress_info.assert_called_once_with(\"task-2\", 1, 2)\n\n\nclass TestRethrowOrPlain(unittest.TestCase):\n    def setUp(self):\n        self.es_service = ElasticSearchService()\n        self.mock_vdb_core = MagicMock()\n        self.mock_vdb_core.embedding_model = MagicMock()\n        self.mock_vdb_core.embedding_dim = 768\n\n        self.get_embedding_model_patcher = patch(\n            'backend.services.vectordatabase_service.get_embedding_model')\n        self.mock_get_embedding = self.get_embedding_model_patcher.start()\n        self.mock_embedding = MagicMock()\n        self.mock_embedding.embedding_dim = 768\n        self.mock_embedding.model = \"test-model\"\n        self.mock_get_embedding.return_value = self.mock_embedding\n\n    def tearDown(self):\n        self.get_embedding_model_patcher.stop()\n\n    def test_rethrow_or_plain_rethrows_json_error_code(self):\n        \"\"\"_rethrow_or_plain should re-raise JSON payload when error_code present.\"\"\"\n        from backend.services.vectordatabase_service import _rethrow_or_plain\n\n        with self.assertRaises(Exception) as exc:\n            _rethrow_or_plain(\n                Exception('{\"error_code\":\"E123\",\"detail\":\"boom\"}'))\n        self.assertIn('\"error_code\": \"E123\"', str(exc.exception))\n\n    def test_get_vector_db_core_unsupported_type(self):\n        \"\"\"get_vector_db_core raises on unsupported db type.\"\"\"\n        from backend.services.vectordatabase_service import get_vector_db_core\n\n        with self.assertRaises(ValueError) as exc:\n            get_vector_db_core(db_type=\"unsupported\")\n\n        self.assertIn(\"Unsupported vector database type\", str(exc.exception))\n\n    @patch('backend.services.vectordatabase_service.tenant_config_manager')\n    @patch('backend.services.vectordatabase_service.DataMateCore')\n    def test_get_vector_db_core_datamate_type(self, mock_datamate_core, mock_tenant_config_manager):\n        \"\"\"get_vector_db_core returns DataMateCore for DATAMATE type.\"\"\"\n        from backend.services.vectordatabase_service import get_vector_db_core\n        from consts.const import VectorDatabaseType, DATAMATE_URL\n\n        # Setup mocks\n        mock_tenant_config_manager.get_app_config.return_value = DATAMATE_URL\n        mock_datamate_core.return_value = MagicMock()\n\n        # Execute\n        result = get_vector_db_core(db_type=VectorDatabaseType.DATAMATE, tenant_id=\"test-tenant\")\n\n        # Assert\n        mock_tenant_config_manager.get_app_config.assert_called_once_with(DATAMATE_URL, tenant_id=\"test-tenant\")\n        mock_datamate_core.assert_called_once_with(base_url=DATAMATE_URL)\n        self.assertEqual(result, mock_datamate_core.return_value)\n\n    @patch('backend.services.vectordatabase_service.tenant_config_manager')\n    @patch('backend.services.vectordatabase_service.DataMateCore')\n    def test_get_vector_db_core_datamate_success(self, mock_datamate_core, mock_tenant_config_manager):\n        \"\"\"get_vector_db_core returns DataMateCore when DATAMATE type with valid tenant_id and configured URL.\"\"\"\n        from backend.services.vectordatabase_service import get_vector_db_core\n        from consts.const import VectorDatabaseType, DATAMATE_URL\n\n        # Setup mocks\n        mock_tenant_config_manager.get_app_config.return_value = \"https://datamate.example.com\"\n        mock_datamate_instance = MagicMock()\n        mock_datamate_core.return_value = mock_datamate_instance\n\n        # Execute\n        result = get_vector_db_core(\n            db_type=VectorDatabaseType.DATAMATE, tenant_id=\"test-tenant\")\n\n        # Assert\n        self.assertEqual(result, mock_datamate_instance)\n        mock_tenant_config_manager.get_app_config.assert_called_once_with(\n            DATAMATE_URL, tenant_id=\"test-tenant\")\n        mock_datamate_core.assert_called_once_with(\n            base_url=\"https://datamate.example.com\")\n\n    @patch('backend.services.vectordatabase_service.tenant_config_manager')\n    def test_get_vector_db_core_datamate_no_url_configured(self, mock_tenant_config_manager):\n        \"\"\"get_vector_db_core raises ValueError when DATAMATE type with tenant_id but no URL configured.\"\"\"\n        from backend.services.vectordatabase_service import get_vector_db_core\n        from consts.const import VectorDatabaseType\n\n        # Setup mock to return None (no URL configured)\n        mock_tenant_config_manager.get_app_config.return_value = None\n\n        # Execute and Assert\n        with self.assertRaises(ValueError) as exc:\n            get_vector_db_core(\n                db_type=VectorDatabaseType.DATAMATE, tenant_id=\"test-tenant\")\n\n        self.assertIn(\n            \"DataMate URL not configured for tenant test-tenant\", str(exc.exception))\n        mock_tenant_config_manager.get_app_config.assert_called_once()\n\n    def test_get_vector_db_core_datamate_no_tenant_id(self):\n        \"\"\"get_vector_db_core raises ValueError when DATAMATE type without tenant_id.\"\"\"\n        from backend.services.vectordatabase_service import get_vector_db_core\n        from consts.const import VectorDatabaseType\n\n        # Execute and Assert\n        with self.assertRaises(ValueError) as exc:\n            get_vector_db_core(\n                db_type=VectorDatabaseType.DATAMATE, tenant_id=None)\n\n        self.assertIn(\"tenant_id must be provided for DataMate\",\n                      str(exc.exception))\n\n    def test_rethrow_or_plain_parses_error_code(self):\n        \"\"\"_rethrow_or_plain rethrows JSON error_code payloads unchanged.\"\"\"\n        from backend.services.vectordatabase_service import _rethrow_or_plain\n\n        with self.assertRaises(Exception) as exc:\n            _rethrow_or_plain(Exception('{\"error_code\":123,\"detail\":\"boom\"}'))\n\n        self.assertIn(\"error_code\", str(exc.exception))\n\n    @patch('backend.services.vectordatabase_service.get_knowledge_record')\n    def test_check_kb_exist_exclude_index_name_matches(self, mock_get_knowledge):\n        \"\"\"Test that KB is available when exclude_index_name matches the found record's index_name.\"\"\"\n        # Setup: knowledge_name exists in tenant, but exclude_index_name matches\n        mock_get_knowledge.return_value = {\n            \"knowledge_name\": \"test_kb\",\n            \"index_name\": \"test-index-123\",\n            \"tenant_id\": \"tenant1\"\n        }\n\n        # Execute with exclude_index_name matching the found record\n        result = check_knowledge_base_exist_impl(\n            knowledge_name=\"test_kb\",\n            vdb_core=self.mock_vdb_core,\n            user_id=\"test_user\",\n            tenant_id=\"tenant1\",\n            exclude_index_name=\"test-index-123\"\n        )\n\n        # Assert\n        mock_get_knowledge.assert_called_once_with({\n            \"knowledge_name\": \"test_kb\",\n            \"tenant_id\": \"tenant1\"\n        })\n        # Should return available because we're excluding this specific index\n        self.assertEqual(result[\"status\"], \"available\")\n\n    @patch('backend.services.vectordatabase_service.get_knowledge_record')\n    def test_check_kb_exist_exclude_index_name_does_not_match(self, mock_get_knowledge):\n        \"\"\"Test that KB is exists_in_tenant when exclude_index_name does not match.\"\"\"\n        # Setup: knowledge_name exists in tenant with different index_name\n        mock_get_knowledge.return_value = {\n            \"knowledge_name\": \"test_kb\",\n            \"index_name\": \"existing-index\",\n            \"tenant_id\": \"tenant1\"\n        }\n\n        # Execute with exclude_index_name that doesn't match\n        result = check_knowledge_base_exist_impl(\n            knowledge_name=\"test_kb\",\n            vdb_core=self.mock_vdb_core,\n            user_id=\"test_user\",\n            tenant_id=\"tenant1\",\n            exclude_index_name=\"different-index\"\n        )\n\n        # Assert\n        self.assertEqual(result[\"status\"], \"exists_in_tenant\")\n\n    def test_rethrow_or_plain_non_json_string(self):\n        \"\"\"_rethrow_or_plain should re-raise plain string message when not valid JSON.\"\"\"\n        from backend.services.vectordatabase_service import _rethrow_or_plain\n\n        plain_message = \"This is a plain error message without JSON\"\n\n        with self.assertRaises(Exception) as exc:\n            _rethrow_or_plain(Exception(plain_message))\n\n        # Should re-raise the original string message\n        self.assertEqual(str(exc.exception), plain_message)\n\n    def test_rethrow_or_plain_json_without_error_code(self):\n        \"\"\"_rethrow_or_plain should re-raise plain string when JSON has no error_code.\"\"\"\n        from backend.services.vectordatabase_service import _rethrow_or_plain\n\n        json_message = '{\"detail\": \"some error\", \"status\": 500}'\n\n        with self.assertRaises(Exception) as exc:\n            _rethrow_or_plain(Exception(json_message))\n\n        # Should re-raise the original string, not the JSON\n        self.assertEqual(str(exc.exception), json_message)\n\n    @patch('services.redis_service.get_redis_service')\n    def test_full_delete_knowledge_base_no_files_redis_warning(self, mock_get_redis):\n        \"\"\"full_delete_knowledge_base handles empty file list and surfaces Redis warnings.\"\"\"\n        mock_vdb_core = MagicMock()\n        mock_redis = MagicMock()\n        mock_redis.delete_knowledgebase_records.return_value = {\n            \"total_deleted\": 0,\n            \"errors\": []\n        }\n        mock_get_redis.return_value = mock_redis\n\n        with patch('backend.services.vectordatabase_service.ElasticSearchService.list_files',\n                   new_callable=AsyncMock, return_value={\"files\": []}) as mock_list_files, \\\n                patch('backend.services.vectordatabase_service.ElasticSearchService.delete_index',\n                      new_callable=AsyncMock, return_value={\"status\": \"success\"}) as mock_delete_index:\n            async def run_test():\n                return await ElasticSearchService.full_delete_knowledge_base(\n                    index_name=\"kb-1\",\n                    vdb_core=mock_vdb_core,\n                    user_id=\"user-1\",\n                )\n\n            result = asyncio.run(run_test())\n\n        self.assertEqual(result[\"minio_cleanup\"][\"total_files_found\"], 0)\n        self.assertEqual(result[\"redis_cleanup\"].get(\"errors\"), [])\n        self.assertIn(\"redis_warnings\", result)\n        self.assertIn(\"redis_warnings\", result)\n        mock_list_files.assert_awaited_once()\n        mock_delete_index.assert_awaited_once()\n\n    @patch('services.redis_service.get_redis_service')\n    def test_full_delete_knowledge_base_minio_and_redis_error(self, mock_get_redis):\n        \"\"\"full_delete_knowledge_base logs minio summary and handles redis cleanup errors.\"\"\"\n        mock_vdb_core = MagicMock()\n        mock_redis = MagicMock()\n        # Redis cleanup will raise to hit error branch (lines 289-292)\n        mock_redis.delete_knowledgebase_records.side_effect = Exception(\n            \"redis boom\")\n        mock_get_redis.return_value = mock_redis\n\n        files_payload = {\n            \"files\": [\n                {\"path_or_url\": \"obj-success\", \"source_type\": \"minio\"},\n                {\"path_or_url\": \"obj-fail\", \"source_type\": \"minio\"},\n            ]\n        }\n\n        # delete_file returns success for first, failure for second\n        with patch('backend.services.vectordatabase_service.ElasticSearchService.list_files',\n                   new_callable=AsyncMock, return_value=files_payload) as mock_list_files, \\\n                patch('backend.services.vectordatabase_service.delete_file') as mock_delete_file, \\\n                patch('backend.services.vectordatabase_service.ElasticSearchService.delete_index',\n                      new_callable=AsyncMock, return_value={\"status\": \"success\"}) as mock_delete_index:\n            mock_delete_file.side_effect = [\n                {\"success\": True},\n                {\"success\": False, \"error\": \"minio failed\"},\n            ]\n\n            async def run_test():\n                return await ElasticSearchService.full_delete_knowledge_base(\n                    index_name=\"kb-2\",\n                    vdb_core=mock_vdb_core,\n                    user_id=\"user-2\",\n                )\n\n            result = asyncio.run(run_test())\n\n        # MinIO summary should reflect one success and one failure (line 270 hit)\n        self.assertEqual(result[\"minio_cleanup\"][\"deleted_count\"], 1)\n        self.assertEqual(result[\"minio_cleanup\"][\"failed_count\"], 1)\n        # Redis cleanup error should be surfaced\n        self.assertIn(\"error\", result[\"redis_cleanup\"])\n        mock_list_files.assert_awaited_once()\n        mock_delete_index.assert_awaited_once_with(\n            \"kb-2\", mock_vdb_core, \"user-2\")\n\n    @patch('backend.services.vectordatabase_service.create_knowledge_record')\n    def test_create_knowledge_base_create_index_failure(self, mock_create_record):\n        \"\"\"create_knowledge_base raises when index creation fails.\"\"\"\n        mock_create_record.return_value = {\n            \"knowledge_id\": 1,\n            \"index_name\": \"1-uuid\",\n            \"knowledge_name\": \"kb\"\n        }\n        self.mock_vdb_core.create_index.return_value = False\n\n        with self.assertRaises(Exception) as exc:\n            ElasticSearchService.create_knowledge_base(\n                knowledge_name=\"kb\",\n                embedding_dim=256,\n                vdb_core=self.mock_vdb_core,\n                user_id=\"user-1\",\n                tenant_id=\"tenant-1\",\n            )\n\n        self.assertIn(\"Failed to create index\", str(exc.exception))\n\n    @patch('backend.services.vectordatabase_service.create_knowledge_record')\n    def test_create_knowledge_base_raises_on_exception(self, mock_create_record):\n        \"\"\"create_knowledge_base wraps unexpected errors.\"\"\"\n        mock_create_record.return_value = {\n            \"knowledge_id\": 2,\n            \"index_name\": \"2-uuid\",\n            \"knowledge_name\": \"kb2\"\n        }\n        self.mock_vdb_core.create_index.side_effect = Exception(\"boom\")\n\n        with self.assertRaises(Exception) as exc:\n            ElasticSearchService.create_knowledge_base(\n                knowledge_name=\"kb2\",\n                embedding_dim=128,\n                vdb_core=self.mock_vdb_core,\n                user_id=\"user-2\",\n                tenant_id=\"tenant-2\",\n            )\n\n        self.assertIn(\"Error creating knowledge base\", str(exc.exception))\n\n    @patch('backend.services.vectordatabase_service.get_knowledge_record')\n    def test_index_documents_default_batch_without_tenant(self, mock_get_record):\n        \"\"\"index_documents defaults embedding batch size to 10 when tenant is missing.\"\"\"\n        mock_get_record.return_value = None\n        self.mock_vdb_core.check_index_exists.return_value = True\n        self.mock_vdb_core.vectorize_documents.return_value = 1\n\n        data = [{\n            \"path_or_url\": \"p1\",\n            \"content\": \"c1\",\n            \"metadata\": {\"title\": \"t1\"},\n        }]\n        embedding = MagicMock()\n        embedding.model = \"model-x\"\n\n        result = ElasticSearchService.index_documents(\n            embedding_model=embedding,\n            index_name=\"idx\",\n            data=data,\n            vdb_core=self.mock_vdb_core,\n        )\n\n        self.assertTrue(result[\"success\"])\n        _, kwargs = self.mock_vdb_core.vectorize_documents.call_args\n        self.assertEqual(kwargs[\"embedding_batch_size\"], 10)\n\n    @patch('backend.services.vectordatabase_service.tenant_config_manager')\n    @patch('backend.services.vectordatabase_service.get_knowledge_record')\n    @patch('backend.services.vectordatabase_service.get_redis_service')\n    def test_index_documents_updates_final_progress(self, mock_get_redis, mock_get_record, mock_tenant_cfg):\n        \"\"\"index_documents sends final progress update to Redis when task_id is provided.\"\"\"\n        mock_get_record.return_value = {\"tenant_id\": \"tenant-1\"}\n        mock_tenant_cfg.get_model_config.return_value = {\"chunk_batch\": 4}\n        mock_redis = MagicMock()\n        mock_get_redis.return_value = mock_redis\n\n        self.mock_vdb_core.check_index_exists.return_value = True\n        self.mock_vdb_core.vectorize_documents.return_value = 2\n\n        data = [\n            {\"path_or_url\": \"p1\", \"content\": \"c1\", \"metadata\": {}},\n            {\"path_or_url\": \"p2\", \"content\": \"c2\", \"metadata\": {}},\n        ]\n\n        result = ElasticSearchService.index_documents(\n            embedding_model=self.mock_embedding,\n            index_name=\"idx\",\n            data=data,\n            vdb_core=self.mock_vdb_core,\n            task_id=\"task-xyz\",\n        )\n\n        self.assertTrue(result[\"success\"])\n        mock_redis.save_progress_info.assert_called()\n        last_call = mock_redis.save_progress_info.call_args_list[-1]\n        self.assertEqual(last_call[0], (\"task-xyz\", 2, 2))\n\n    @patch('backend.services.vectordatabase_service.get_redis_service')\n    @patch('backend.services.vectordatabase_service.get_knowledge_record')\n    @patch('backend.services.vectordatabase_service.tenant_config_manager')\n    def test_index_documents_progress_init_and_final_errors(self, mock_tenant_cfg, mock_get_record, mock_get_redis):\n        \"\"\"index_documents should continue when progress save fails during init and final updates.\"\"\"\n        mock_get_record.return_value = {\"tenant_id\": \"tenant-1\"}\n        mock_tenant_cfg.get_model_config.return_value = {\"chunk_batch\": 4}\n\n        mock_redis = MagicMock()\n        # First call (init) raises, second call (final) raises\n        mock_redis.save_progress_info.side_effect = [\n            Exception(\"init fail\"), Exception(\"final fail\")]\n        mock_redis.is_task_cancelled.return_value = False\n        mock_get_redis.return_value = mock_redis\n\n        self.mock_vdb_core.check_index_exists.return_value = True\n        self.mock_vdb_core.vectorize_documents.return_value = 1\n\n        data = [{\"path_or_url\": \"p1\", \"content\": \"c1\", \"metadata\": {}}]\n\n        result = ElasticSearchService.index_documents(\n            embedding_model=self.mock_embedding,\n            index_name=\"idx\",\n            data=data,\n            vdb_core=self.mock_vdb_core,\n            task_id=\"task-err\",\n        )\n\n        self.assertTrue(result[\"success\"])\n        # two attempts to save progress (init and final)\n        self.assertEqual(mock_redis.save_progress_info.call_count, 2)\n\n    @patch('backend.services.vectordatabase_service.get_all_files_status')\n    @patch('backend.services.vectordatabase_service.get_redis_service')\n    def test_list_files_handles_invalid_create_time_and_failed_tasks(self, mock_get_redis, mock_get_files_status):\n        \"\"\"list_files handles invalid timestamps, progress overrides, and error info.\"\"\"\n        self.mock_vdb_core.get_documents_detail.return_value = [\n            {\n                \"path_or_url\": \"file1\",\n                \"filename\": \"file1.txt\",\n                \"file_size\": 10,\n                \"create_time\": \"invalid\",\n                \"chunk_count\": 1\n            }\n        ]\n        self.mock_vdb_core.client.count.return_value = {\"count\": 7}\n\n        mock_get_files_status.return_value = {\n            \"file1\": {\n                \"state\": \"PROCESS_FAILED\",\n                \"latest_task_id\": \"task-1\",\n                \"processed_chunks\": 1,\n                \"total_chunks\": 5,\n                \"source_type\": \"minio\",\n                \"original_filename\": \"file1.txt\"\n            }\n        }\n\n        mock_redis = MagicMock()\n        mock_redis.get_progress_info.return_value = {\n            \"processed_chunks\": 2,\n            \"total_chunks\": 5\n        }\n        mock_redis.get_error_info.return_value = \"boom error\"\n        mock_get_redis.return_value = mock_redis\n\n        async def run_test():\n            return await ElasticSearchService.list_files(\n                index_name=\"idx\",\n                include_chunks=False,\n                vdb_core=self.mock_vdb_core\n            )\n\n        result = asyncio.run(run_test())\n        self.assertEqual(len(result[\"files\"]), 1)\n        file_info = result[\"files\"][0]\n        self.assertEqual(file_info[\"chunk_count\"], 7)\n        self.assertEqual(file_info[\"file_size\"], 10)\n        self.assertEqual(file_info[\"status\"], \"PROCESS_FAILED\")\n        self.assertEqual(file_info[\"processed_chunk_num\"], 2)\n        self.assertEqual(file_info[\"total_chunk_num\"], 5)\n        self.assertEqual(file_info[\"error_reason\"], \"boom error\")\n        self.assertIsInstance(file_info[\"create_time\"], int)\n\n    @patch('backend.services.vectordatabase_service.get_all_files_status')\n    @patch('backend.services.vectordatabase_service.get_redis_service')\n    def test_list_files_warning_and_progress_error_branches(self, mock_get_redis, mock_get_files_status):\n        \"\"\"list_files covers chunk count warning, file size error, progress overrides, and redis failures.\"\"\"\n        # Existing ES file triggers count warning (lines 749-750 and 910-916)\n        self.mock_vdb_core.get_documents_detail.return_value = [\n            {\n                \"path_or_url\": \"file-es\",\n                \"filename\": \"file-es.txt\",\n                \"file_size\": 5,\n                \"create_time\": \"2024-01-01T00:00:00\",\n                \"chunk_count\": 1\n            }\n        ]\n        # First count call for ES file, second for completed file at include_chunks=False\n        self.mock_vdb_core.client.count.side_effect = [\n            Exception(\"count fail initial\"),\n            Exception(\"count fail final\"),\n        ]\n\n        # Two tasks from Celery status to exercise progress success and failure\n        mock_get_files_status.return_value = {\n            \"file-processing\": {\n                \"state\": \"PROCESSING\",\n                \"latest_task_id\": \"t1\",\n                \"source_type\": \"minio\",\n                \"original_filename\": \"fp.txt\",\n                \"processed_chunks\": 1,\n                \"total_chunks\": 3,\n            },\n            \"file-failed\": {\n                \"state\": \"PROCESS_FAILED\",\n                \"latest_task_id\": \"t2\",\n                \"source_type\": \"minio\",\n                \"original_filename\": \"ff.txt\",\n            },\n        }\n\n        mock_redis = MagicMock()\n        # Progress info: first returns dict, second raises to hit lines 815-816\n        mock_redis.get_progress_info.side_effect = [\n            {\"processed_chunks\": 2, \"total_chunks\": 4},\n            Exception(\"progress boom\"),\n        ]\n        # get_error_info raises to hit 847-848\n        mock_redis.get_error_info.side_effect = Exception(\"error info boom\")\n        mock_get_redis.return_value = mock_redis\n\n        with patch('backend.services.vectordatabase_service.get_file_size', side_effect=Exception(\"size boom\")):\n            async def run_test():\n                return await ElasticSearchService.list_files(\n                    index_name=\"idx\",\n                    include_chunks=False,\n                    vdb_core=self.mock_vdb_core\n                )\n\n            result = asyncio.run(run_test())\n\n        # Ensure both ES file and processing files are returned\n        paths = {f[\"path_or_url\"] for f in result[\"files\"]}\n        self.assertIn(\"file-es\", paths)\n        self.assertIn(\"file-processing\", paths)\n        self.assertIn(\"file-failed\", paths)\n        # Processing file gets progress override\n        proc_file = next(\n            f for f in result[\"files\"] if f[\"path_or_url\"] == \"file-processing\")\n        self.assertEqual(proc_file[\"processed_chunk_num\"], 2)\n        self.assertEqual(proc_file[\"total_chunk_num\"], 4)\n        # Failed file retains default chunk_count fallback\n        failed_file = next(\n            f for f in result[\"files\"] if f[\"path_or_url\"] == \"file-failed\")\n        self.assertEqual(failed_file.get(\"chunk_count\", 0), 0)\n\n    @patch('backend.services.vectordatabase_service.get_all_files_status', return_value={})\n    def test_list_files_with_chunks_updates_chunk_count(self, mock_get_files_status):\n        \"\"\"list_files include_chunks path refreshes chunk counts.\"\"\"\n        self.mock_vdb_core.get_documents_detail.return_value = [\n            {\n                \"path_or_url\": \"file1\",\n                \"filename\": \"file1.txt\",\n                \"file_size\": 10,\n                \"create_time\": \"2024-01-01T00:00:00\"\n            }\n        ]\n        self.mock_vdb_core.multi_search.return_value = {\n            \"responses\": [\n                {\n                    \"hits\": {\n                        \"hits\": [\n                            {\"_source\": {\n                                \"id\": \"doc1\",\n                                \"title\": \"t\",\n                                \"content\": \"c\",\n                                \"create_time\": \"2024-01-01T00:00:00\"\n                            }}\n                        ]\n                    }\n                }\n            ]\n        }\n        self.mock_vdb_core.client.count.return_value = {\"count\": 2}\n\n        async def run_test():\n            return await ElasticSearchService.list_files(\n                index_name=\"idx\",\n                include_chunks=True,\n                vdb_core=self.mock_vdb_core\n            )\n\n        result = asyncio.run(run_test())\n        file_info = result[\"files\"][0]\n        self.assertEqual(file_info[\"chunk_count\"], 2)\n        self.assertEqual(len(file_info[\"chunks\"]), 1)\n\n    def test_summary_index_name_streams_generator_error(self):\n        \"\"\"summary_index_name streams error payloads when generator fails.\"\"\"\n\n        class BadIterable:\n            def __iter__(self):\n                raise RuntimeError(\"stream failure\")\n\n        with patch('utils.document_vector_utils.process_documents_for_clustering') as mock_process_docs, \\\n                patch('utils.document_vector_utils.kmeans_cluster_documents') as mock_cluster, \\\n                patch('utils.document_vector_utils.summarize_clusters_map_reduce') as mock_summarize, \\\n                patch('utils.document_vector_utils.merge_cluster_summaries', return_value=BadIterable()):\n            mock_process_docs.return_value = (\n                {\"doc1\": {\"chunks\": [{\"content\": \"x\"}]}},\n                {\"doc1\": MagicMock()}\n            )\n            mock_cluster.return_value = {\"doc1\": 0}\n            mock_summarize.return_value = {0: \"summary\"}\n\n            async def run_test():\n                response = await self.es_service.summary_index_name(\n                    index_name=\"idx\",\n                    batch_size=100,\n                    vdb_core=self.mock_vdb_core,\n                    language=\"en\",\n                    model_id=None,\n                    tenant_id=\"tenant-1\",\n                )\n                messages = []\n                async for chunk in response.body_iterator:\n                    messages.append(chunk)\n                    break\n                return messages\n\n            messages = asyncio.run(run_test())\n            self.assertTrue(any(\"error\" in msg for msg in messages))\n\n\nif __name__ == '__main__':\n    unittest.main()\n"
  },
  {
    "path": "test/backend/services/test_voice_service.py",
    "content": "import os\nimport sys\nimport asyncio\nimport pytest\nfrom unittest.mock import Mock, AsyncMock, patch\n\nsys.path.insert(0, os.path.join(os.path.dirname(__file__), \"../../../backend\"))\n\nfrom consts.exceptions import (\n    VoiceServiceException,\n    STTConnectionException,\n    TTSConnectionException,\n    VoiceConfigException\n)\n\n\n# Mock only the external dependencies that we need to control\nclass MockSTTModel:\n    def __init__(self, config, test_path):\n        self.config = config\n        self.test_path = test_path\n        self.check_connectivity = AsyncMock(return_value=True)\n        self.start_streaming_session = AsyncMock()\n\n\nclass MockTTSModel:\n    def __init__(self, config):\n        self.config = config\n        self.check_connectivity = AsyncMock(return_value=True)\n    \n    async def generate_speech(self, text: str, stream: bool = False):\n        \"\"\"Mock implementation that returns appropriate data based on stream parameter\"\"\"\n        if stream:\n            # Return an async generator for streaming\n            async def mock_audio_generator():\n                yield b\"mock_audio_chunk_1\"\n                yield b\"mock_audio_chunk_2\"\n                yield b\"mock_audio_chunk_3\"\n            return mock_audio_generator()\n        else:\n            # Return complete audio bytes for non-streaming\n            return b\"mock_complete_audio_data\"\n\n\n# Import the service under test\nfrom services.voice_service import VoiceService, get_voice_service\nimport services.voice_service\n\n\ndef mock_voice_dependencies(func):\n    \"\"\"Decorator to apply all necessary mocks for voice service tests\"\"\"\n    @patch('services.voice_service.TTSModel', MockTTSModel)\n    @patch('services.voice_service.STTModel', MockSTTModel)\n    @patch('consts.const.TEST_VOICE_PATH', '/test/path')\n    @patch('consts.const.SPEED_RATIO', 1.0)\n    @patch('consts.const.VOICE_TYPE', 'test_voice_type')\n    @patch('consts.const.CLUSTER', 'test_cluster')\n    @patch('consts.const.TOKEN', 'test_token')\n    @patch('consts.const.APPID', 'test_appid')\n    def wrapper(*args, **kwargs):\n        # Reset the global voice service instance to ensure test isolation\n        services.voice_service._voice_service_instance = None\n        return func(*args, **kwargs)\n    return wrapper\n\n\nclass TestVoiceService:\n    \"\"\"Test cases for VoiceService class\"\"\"\n\n    @mock_voice_dependencies\n    def test_start_stt_streaming_session_success(self):\n        \"\"\"Test successful STT streaming session start\"\"\"\n        service = VoiceService()\n        \n        # Mock the STT model's start_streaming_session method\n        service.stt_model.start_streaming_session = AsyncMock()\n        \n        # Mock WebSocket\n        mock_websocket = Mock()\n        \n        # Test the method\n        asyncio.run(service.start_stt_streaming_session(mock_websocket))\n        \n        # Verify the method was called\n        service.stt_model.start_streaming_session.assert_called_once_with(mock_websocket)\n\n    @mock_voice_dependencies\n    def test_start_stt_streaming_session_stt_connection_error(self):\n        \"\"\"Test STT streaming session with STT connection error\"\"\"\n        service = VoiceService()\n        \n        # Mock the STT model to raise STTConnectionException\n        service.stt_model.start_streaming_session = AsyncMock(\n            side_effect=STTConnectionException(\"STT connection failed\")\n        )\n        \n        # Mock WebSocket\n        mock_websocket = Mock()\n        \n        # Test the method should raise the exception\n        with pytest.raises(STTConnectionException):\n            asyncio.run(service.start_stt_streaming_session(mock_websocket))\n\n    @mock_voice_dependencies\n    def test_start_stt_streaming_session_general_error(self):\n        \"\"\"Test STT streaming session with general error\"\"\"\n        service = VoiceService()\n        \n        # Mock the STT model to raise a general exception\n        service.stt_model.start_streaming_session = AsyncMock(\n            side_effect=Exception(\"General error\")\n        )\n        \n        # Mock WebSocket\n        mock_websocket = Mock()\n        \n        # Test the method should raise STTConnectionException (not VoiceServiceException)\n        with pytest.raises(STTConnectionException):\n            asyncio.run(service.start_stt_streaming_session(mock_websocket))\n\n    @mock_voice_dependencies\n    def test_generate_tts_speech_success(self):\n        \"\"\"Test successful TTS speech generation\"\"\"\n        service = VoiceService()\n        \n        # Mock the TTS model's generate_speech method\n        service.tts_model.generate_speech = AsyncMock(return_value=b\"audio_data\")\n        \n        # Test the method\n        result = asyncio.run(service.generate_tts_speech(\"Hello, world!\", stream=False))\n        \n        # Verify the method was called with correct parameters\n        service.tts_model.generate_speech.assert_called_once_with(\"Hello, world!\", stream=False)\n        assert result == b\"audio_data\"\n\n    @mock_voice_dependencies\n    def test_generate_tts_speech_empty_text(self):\n        \"\"\"Test TTS speech generation with empty text\"\"\"\n        service = VoiceService()\n        \n        # Test with empty text\n        with pytest.raises(VoiceServiceException, match=\"No text provided for TTS generation\"):\n            asyncio.run(service.generate_tts_speech(\"\", stream=False))\n        \n        # Test with None text\n        with pytest.raises(VoiceServiceException, match=\"No text provided for TTS generation\"):\n            asyncio.run(service.generate_tts_speech(None, stream=False))\n\n    @mock_voice_dependencies\n    def test_generate_tts_speech_tts_connection_error(self):\n        \"\"\"Test TTS speech generation with TTS connection error\"\"\"\n        service = VoiceService()\n        \n        # Mock the TTS model to raise TTSConnectionException\n        service.tts_model.generate_speech = AsyncMock(\n            side_effect=TTSConnectionException(\"TTS connection failed\")\n        )\n        \n        # Test the method should raise the exception\n        with pytest.raises(TTSConnectionException):\n            asyncio.run(service.generate_tts_speech(\"Hello, world!\", stream=False))\n\n    @mock_voice_dependencies\n    def test_generate_tts_speech_general_error(self):\n        \"\"\"Test TTS speech generation with general error\"\"\"\n        service = VoiceService()\n        \n        # Mock the TTS model to raise a general exception\n        service.tts_model.generate_speech = AsyncMock(\n            side_effect=Exception(\"General error\")\n        )\n        \n        # Test the method should raise TTSConnectionException\n        with pytest.raises(TTSConnectionException):\n            asyncio.run(service.generate_tts_speech(\"Hello, world!\", stream=False))\n\n    @mock_voice_dependencies\n    def test_stream_tts_to_websocket_success(self):\n        \"\"\"Test successful TTS streaming to WebSocket\"\"\"\n        service = VoiceService()\n        \n        # Mock the TTS model's generate_speech method directly to avoid real WebSocket connections\n        async def mock_generate_speech(text: str, stream: bool = False):\n            if stream:\n                async def mock_audio_generator():\n                    yield b\"mock_audio_chunk_1\"\n                    yield b\"mock_audio_chunk_2\"\n                    yield b\"mock_audio_chunk_3\"\n                return mock_audio_generator()\n            else:\n                return b\"mock_complete_audio_data\"\n        \n        service.tts_model.generate_speech = mock_generate_speech\n        \n        # Mock WebSocket with client_state\n        mock_websocket = Mock()\n        mock_websocket.send_bytes = AsyncMock()\n        mock_websocket.send_json = AsyncMock()\n        mock_websocket.close = AsyncMock()\n        \n        # Mock client_state to be CONNECTED\n        mock_client_state = Mock()\n        mock_client_state.name = \"CONNECTED\"\n        mock_websocket.client_state = mock_client_state\n        \n        # Test the method\n        asyncio.run(service.stream_tts_to_websocket(mock_websocket, \"Hello, world!\"))\n        \n        assert mock_websocket.send_bytes.call_count == 3\n        mock_websocket.send_json.assert_called_once_with({\"status\": \"completed\"})\n\n    @mock_voice_dependencies\n    def test_stream_tts_to_websocket_tts_connection_error(self):\n        \"\"\"Test TTS streaming to WebSocket with TTS connection error\"\"\"\n        service = VoiceService()\n        \n        # Mock the TTS model to raise TTSConnectionException\n        async def mock_generate_speech(text, stream=True):\n            raise TTSConnectionException(\"TTS connection failed\")\n        \n        service.tts_model.generate_speech = mock_generate_speech\n        \n        # Mock WebSocket\n        mock_websocket = Mock()\n        mock_websocket.send_bytes = AsyncMock()\n        mock_websocket.send_json = AsyncMock()\n        mock_websocket.close = AsyncMock()\n        \n        # Mock client_state\n        mock_client_state = Mock()\n        mock_client_state.name = \"CONNECTED\"\n        mock_websocket.client_state = mock_client_state\n        \n        # Test the method should raise the exception\n        with pytest.raises(TTSConnectionException):\n            asyncio.run(service.stream_tts_to_websocket(mock_websocket, \"Hello, world!\"))\n\n    @mock_voice_dependencies\n    def test_stream_tts_to_websocket_general_error(self):\n        \"\"\"Test TTS streaming to WebSocket with general error\"\"\"\n        service = VoiceService()\n        \n        # Mock the TTS model to raise a general exception\n        async def mock_generate_speech(text, stream=True):\n            raise Exception(\"General error\")\n        \n        service.tts_model.generate_speech = mock_generate_speech\n        \n        # Mock WebSocket\n        mock_websocket = Mock()\n        mock_websocket.send_bytes = AsyncMock()\n        mock_websocket.send_json = AsyncMock()\n        mock_websocket.close = AsyncMock()\n        \n        # Mock client_state\n        mock_client_state = Mock()\n        mock_client_state.name = \"CONNECTED\"\n        mock_websocket.client_state = mock_client_state\n        \n        # Test the method should raise TTSConnectionException\n        with pytest.raises(TTSConnectionException):\n            asyncio.run(service.stream_tts_to_websocket(mock_websocket, \"Hello, world!\"))\n\n    @mock_voice_dependencies\n    def test_check_voice_connectivity_stt_success(self):\n        \"\"\"Test voice connectivity check for STT model\"\"\"\n        service = VoiceService()\n        \n        # Mock the STT model's check_connectivity method\n        service.stt_model.check_connectivity = AsyncMock(return_value=True)\n        service.tts_model.check_connectivity = AsyncMock(return_value=True)\n        \n        # Test STT connectivity\n        result = asyncio.run(service.check_voice_connectivity(\"stt\"))\n        \n        # Verify the method was called\n        service.stt_model.check_connectivity.assert_called_once()\n        assert result is True\n\n    @mock_voice_dependencies\n    def test_check_voice_connectivity_tts_success(self):\n        \"\"\"Test voice connectivity check for TTS model\"\"\"\n        service = VoiceService()\n        \n        # Mock the TTS model's check_connectivity method\n        service.stt_model.check_connectivity = AsyncMock(return_value=True)\n        service.tts_model.check_connectivity = AsyncMock(return_value=True)\n        \n        # Test TTS connectivity\n        result = asyncio.run(service.check_voice_connectivity(\"tts\"))\n        \n        # Verify the method was called\n        service.tts_model.check_connectivity.assert_called_once()\n        assert result is True\n\n    @mock_voice_dependencies\n    def test_check_voice_connectivity_stt_failure(self):\n        \"\"\"Test voice connectivity check for STT model failure\"\"\"\n        service = VoiceService()\n        \n        # Mock the STT model's check_connectivity method to return False\n        service.stt_model.check_connectivity = AsyncMock(return_value=False)\n        service.tts_model.check_connectivity = AsyncMock(return_value=True)\n        \n        # Test STT connectivity should raise STTConnectionException\n        with pytest.raises(STTConnectionException):\n            asyncio.run(service.check_voice_connectivity(\"stt\"))\n        \n        # Verify the method was called\n        service.stt_model.check_connectivity.assert_called_once()\n\n    @mock_voice_dependencies\n    def test_check_voice_connectivity_tts_failure(self):\n        \"\"\"Test voice connectivity check for TTS model failure\"\"\"\n        service = VoiceService()\n        \n        # Mock the TTS model's check_connectivity method to return False\n        service.stt_model.check_connectivity = AsyncMock(return_value=True)\n        service.tts_model.check_connectivity = AsyncMock(return_value=False)\n        \n        # Test TTS connectivity should raise TTSConnectionException\n        with pytest.raises(TTSConnectionException):\n            asyncio.run(service.check_voice_connectivity(\"tts\"))\n        \n        # Verify the method was called\n        service.tts_model.check_connectivity.assert_called_once()\n\n    @mock_voice_dependencies\n    def test_check_voice_connectivity_invalid_model_type(self):\n        \"\"\"Test voice connectivity check with invalid model type\"\"\"\n        service = VoiceService()\n        \n        # Test with invalid model type\n        with pytest.raises(VoiceServiceException, match=\"Unknown model type\"):\n            asyncio.run(service.check_voice_connectivity(\"invalid\"))\n\n    @mock_voice_dependencies\n    def test_check_voice_connectivity_stt_connection_error(self):\n        \"\"\"Test voice connectivity check with STT connection error\"\"\"\n        service = VoiceService()\n        \n        # Mock the STT model to raise STTConnectionException\n        service.stt_model.check_connectivity = AsyncMock(\n            side_effect=STTConnectionException(\"STT connection failed\")\n        )\n        \n        # Test the method should raise the exception\n        with pytest.raises(STTConnectionException):\n            asyncio.run(service.check_voice_connectivity(\"stt\"))\n\n    @mock_voice_dependencies\n    def test_check_voice_connectivity_tts_connection_error(self):\n        \"\"\"Test voice connectivity check with TTS connection error\"\"\"\n        service = VoiceService()\n        \n        # Mock the TTS model to raise TTSConnectionException\n        service.tts_model.check_connectivity = AsyncMock(\n            side_effect=TTSConnectionException(\"TTS connection failed\")\n        )\n        \n        # Test the method should raise the exception\n        with pytest.raises(TTSConnectionException):\n            asyncio.run(service.check_voice_connectivity(\"tts\"))\n\n    @mock_voice_dependencies\n    def test_check_voice_connectivity_general_error(self):\n        \"\"\"Test voice connectivity check with general error\"\"\"\n        service = VoiceService()\n        \n        # Mock the STT model to raise a general exception\n        service.stt_model.check_connectivity = AsyncMock(\n            side_effect=Exception(\"General error\")\n        )\n        \n        # Test the method should raise STTConnectionException\n        with pytest.raises(STTConnectionException):\n            asyncio.run(service.check_voice_connectivity(\"stt\"))\n\n\nclass TestVoiceServiceSingleton:\n    \"\"\"Test cases for VoiceService singleton pattern\"\"\"\n\n    @mock_voice_dependencies\n    def test_get_voice_service_singleton(self):\n        \"\"\"Test that get_voice_service returns a singleton instance\"\"\"\n        # Get the service instance\n        service1 = get_voice_service()\n        service2 = get_voice_service()\n        \n        # Verify it's the same instance\n        assert service1 is service2\n        assert isinstance(service1, VoiceService)\n\n    @mock_voice_dependencies\n    def test_get_voice_service_initialization_error(self):\n        \"\"\"Test get_voice_service with initialization error\"\"\"\n        # Reset the global instance to ensure we test the initialization path\n        services.voice_service._voice_service_instance = None\n        \n        # Mock VoiceService constructor to raise an exception during initialization\n        with patch.object(VoiceService, '__init__', side_effect=VoiceConfigException(\"Config error\")):\n            with pytest.raises(VoiceConfigException):\n                get_voice_service()\n\n\nif __name__ == \"__main__\":\n    pytest.main([__file__])"
  },
  {
    "path": "test/backend/test_cluster_summarization.py",
    "content": "\"\"\"\nTest module for cluster summarization\n\nTests for cluster summarization functionality.\n\"\"\"\nimport os\nimport sys\nfrom unittest.mock import MagicMock, patch\n\nimport numpy as np\nimport pytest\n\n# Mock consts module before patching backend.database.client to avoid ImportError\n# backend.database.client imports from consts.const, so we need to mock it first\nconsts_mock = MagicMock()\nconsts_const_mock = MagicMock()\n# Set required constants that backend.database.client might use\nconsts_const_mock.MINIO_ENDPOINT = \"http://localhost:9000\"\nconsts_const_mock.MINIO_ACCESS_KEY = \"test_access_key\"\nconsts_const_mock.MINIO_SECRET_KEY = \"test_secret_key\"\nconsts_const_mock.MINIO_REGION = \"us-east-1\"\nconsts_const_mock.MINIO_DEFAULT_BUCKET = \"test-bucket\"\nconsts_const_mock.POSTGRES_HOST = \"localhost\"\nconsts_const_mock.POSTGRES_USER = \"test_user\"\nconsts_const_mock.NEXENT_POSTGRES_PASSWORD = \"test_password\"\nconsts_const_mock.POSTGRES_DB = \"test_db\"\nconsts_const_mock.POSTGRES_PORT = 5432\nconsts_const_mock.LANGUAGE = {\"ZH\": \"zh\", \"EN\": \"en\"}\nconsts_const_mock.MESSAGE_ROLE = {\"USER\": \"user\", \"ASSISTANT\": \"assistant\", \"SYSTEM\": \"system\"}\nconsts_const_mock.THINK_START_PATTERN = \"<think>\"\nconsts_const_mock.THINK_END_PATTERN = \"</think>\"\nconsts_mock.const = consts_const_mock\n# Mock consts.error_code and consts.exceptions\nconsts_error_code_mock = MagicMock()\nconsts_error_code_mock.ErrorCode = MagicMock()\nconsts_exceptions_mock = MagicMock()\nconsts_exceptions_mock.AppException = Exception\nsys.modules['consts'] = consts_mock\nsys.modules['consts.const'] = consts_const_mock\nsys.modules['consts.error_code'] = consts_error_code_mock\nsys.modules['consts.exceptions'] = consts_exceptions_mock\n\n# Add backend to path before patching backend modules\ncurrent_dir = os.path.dirname(os.path.abspath(__file__))\nbackend_dir = os.path.abspath(os.path.join(current_dir, \"../../backend\"))\nsys.path.insert(0, backend_dir)\n\n# Patch storage factory and MinIO config validation to avoid errors during initialization\n# These patches must be started before any imports that use MinioClient\nstorage_client_mock = MagicMock()\nminio_client_mock = MagicMock()\npatch('nexent.storage.storage_client_factory.create_storage_client_from_config', return_value=storage_client_mock).start()\npatch('nexent.storage.minio_config.MinIOStorageConfig.validate', lambda self: None).start()\npatch('backend.database.client.MinioClient', return_value=minio_client_mock).start()\n\nfrom backend.utils.document_vector_utils import (\n    summarize_cluster,\n    merge_cluster_summaries\n)\n\n\nclass TestClusterSummarization:\n    \"\"\"Test cluster summarization functionality\"\"\"\n    \n    def test_summarize_cluster_placeholder(self):\n        \"\"\"Test cluster summarization (placeholder implementation)\"\"\"\n        document_summaries = [\"Summary 1\", \"Summary 2\"]\n        summary = summarize_cluster(document_summaries, language=\"zh\", max_words=150)\n        \n        assert summary is not None\n        assert isinstance(summary, str)\n        assert 'Cluster Summary' in summary or 'Based on' in summary\n    \n    def test_merge_cluster_summaries(self):\n        \"\"\"Test merging cluster summaries\"\"\"\n        cluster_summaries = {\n            0: \"Cluster 0 summary\",\n            1: \"Cluster 1 summary\",\n            2: \"Cluster 2 summary\"\n        }\n        \n        merged = merge_cluster_summaries(cluster_summaries)\n        \n        assert merged is not None\n        assert isinstance(merged, str)\n        assert \"Cluster 0 summary\" in merged\n        assert \"Cluster 1 summary\" in merged\n        assert \"Cluster 2 summary\" in merged\n    \n    def test_merge_cluster_summaries_empty(self):\n        \"\"\"Test merging empty cluster summaries\"\"\"\n        cluster_summaries = {}\n        merged = merge_cluster_summaries(cluster_summaries)\n        \n        assert merged == \"\"\n\n\nif __name__ == '__main__':\n    pytest.main([__file__, '-v'])\n\n"
  },
  {
    "path": "test/backend/test_document_vector_integration.py",
    "content": "\"\"\"\nIntegration test for document vector operations\n\nThis test demonstrates the complete workflow from ES retrieval to clustering.\nNote: This requires a running Elasticsearch instance.\n\"\"\"\nimport os\nimport sys\nfrom unittest.mock import MagicMock, patch\n\nimport numpy as np\nimport pytest\n\n# Mock consts module before patching backend.database.client to avoid ImportError\n# backend.database.client imports from consts.const, so we need to mock it first\nconsts_mock = MagicMock()\nconsts_const_mock = MagicMock()\n# Set required constants that backend.database.client might use\nconsts_const_mock.MINIO_ENDPOINT = \"http://localhost:9000\"\nconsts_const_mock.MINIO_ACCESS_KEY = \"test_access_key\"\nconsts_const_mock.MINIO_SECRET_KEY = \"test_secret_key\"\nconsts_const_mock.MINIO_REGION = \"us-east-1\"\nconsts_const_mock.MINIO_DEFAULT_BUCKET = \"test-bucket\"\nconsts_const_mock.POSTGRES_HOST = \"localhost\"\nconsts_const_mock.POSTGRES_USER = \"test_user\"\nconsts_const_mock.NEXENT_POSTGRES_PASSWORD = \"test_password\"\nconsts_const_mock.POSTGRES_DB = \"test_db\"\nconsts_const_mock.POSTGRES_PORT = 5432\nconsts_const_mock.LANGUAGE = {\"ZH\": \"zh\", \"EN\": \"en\"}\nconsts_const_mock.MESSAGE_ROLE = {\"USER\": \"user\", \"ASSISTANT\": \"assistant\", \"SYSTEM\": \"system\"}\nconsts_const_mock.THINK_START_PATTERN = \"<think>\"\nconsts_const_mock.THINK_END_PATTERN = \"</think>\"\nconsts_mock.const = consts_const_mock\n# Mock consts.error_code and consts.exceptions\nconsts_error_code_mock = MagicMock()\nconsts_error_code_mock.ErrorCode = MagicMock()\nconsts_exceptions_mock = MagicMock()\nconsts_exceptions_mock.AppException = Exception\nsys.modules['consts'] = consts_mock\nsys.modules['consts.const'] = consts_const_mock\nsys.modules['consts.error_code'] = consts_error_code_mock\nsys.modules['consts.exceptions'] = consts_exceptions_mock\n\n# Add backend to path before patching backend modules\ncurrent_dir = os.path.dirname(os.path.abspath(__file__))\nbackend_dir = os.path.abspath(os.path.join(current_dir, \"../../backend\"))\nsys.path.insert(0, backend_dir)\n\n# Patch storage factory and MinIO config validation to avoid errors during initialization\n# These patches must be started before any imports that use MinioClient\nstorage_client_mock = MagicMock()\nminio_client_mock = MagicMock()\npatch('nexent.storage.storage_client_factory.create_storage_client_from_config', return_value=storage_client_mock).start()\npatch('nexent.storage.minio_config.MinIOStorageConfig.validate', lambda self: None).start()\npatch('backend.database.client.MinioClient', return_value=minio_client_mock).start()\n\nfrom backend.utils.document_vector_utils import (\n    calculate_document_embedding,\n    auto_determine_k,\n    kmeans_cluster_documents\n)\n\n\nclass TestDocumentVectorIntegration:\n    \"\"\"Integration tests for document vector operations\"\"\"\n    \n    def test_complete_workflow(self):\n        \"\"\"Test complete workflow: embedding calculation -> clustering\"\"\"\n        # Simulate document chunks with embeddings\n        chunks_1 = [\n            {'embedding': np.random.rand(128).tolist(), 'content': 'Content for doc 1 chunk 1'},\n            {'embedding': np.random.rand(128).tolist(), 'content': 'Content for doc 1 chunk 2'},\n            {'embedding': np.random.rand(128).tolist(), 'content': 'Content for doc 1 chunk 3'}\n        ]\n        \n        chunks_2 = [\n            {'embedding': np.random.rand(128).tolist(), 'content': 'Content for doc 2 chunk 1'},\n            {'embedding': np.random.rand(128).tolist(), 'content': 'Content for doc 2 chunk 2'}\n        ]\n        \n        chunks_3 = [\n            {'embedding': np.random.rand(128).tolist(), 'content': 'Content for doc 3 chunk 1'},\n            {'embedding': np.random.rand(128).tolist(), 'content': 'Content for doc 3 chunk 2'},\n            {'embedding': np.random.rand(128).tolist(), 'content': 'Content for doc 3 chunk 3'},\n            {'embedding': np.random.rand(128).tolist(), 'content': 'Content for doc 3 chunk 4'}\n        ]\n        \n        # Calculate document embeddings\n        doc_embedding_1 = calculate_document_embedding(chunks_1, use_weighted=True)\n        doc_embedding_2 = calculate_document_embedding(chunks_2, use_weighted=True)\n        doc_embedding_3 = calculate_document_embedding(chunks_3, use_weighted=True)\n        \n        assert doc_embedding_1 is not None\n        assert doc_embedding_2 is not None\n        assert doc_embedding_3 is not None\n        \n        # Create document embeddings dictionary\n        doc_embeddings = {\n            'doc_001': doc_embedding_1,\n            'doc_002': doc_embedding_2,\n            'doc_003': doc_embedding_3\n        }\n        \n        # Determine optimal K\n        embeddings_array = np.array([doc_embedding_1, doc_embedding_2, doc_embedding_3])\n        optimal_k = auto_determine_k(embeddings_array, min_k=2, max_k=3)\n        \n        assert 2 <= optimal_k <= 3\n        \n        # Perform clustering\n        clusters = kmeans_cluster_documents(doc_embeddings, k=optimal_k)\n        \n        assert len(clusters) == optimal_k\n        assert sum(len(docs) for docs in clusters.values()) == 3\n    \n    def test_large_dataset_clustering(self):\n        \"\"\"Test clustering with larger simulated dataset\"\"\"\n        # Create simulated document embeddings\n        n_docs = 50\n        doc_embeddings = {\n            f'doc_{i:03d}': np.random.rand(128) for i in range(n_docs)\n        }\n        \n        # Auto-determine K\n        embeddings_array = np.array(list(doc_embeddings.values()))\n        optimal_k = auto_determine_k(embeddings_array, min_k=3, max_k=15)\n        \n        assert 3 <= optimal_k <= 15\n        \n        # Cluster documents\n        clusters = kmeans_cluster_documents(doc_embeddings, k=optimal_k)\n        \n        assert len(clusters) == optimal_k\n        assert sum(len(docs) for docs in clusters.values()) == n_docs\n        \n        # Verify cluster sizes are reasonable\n        cluster_sizes = [len(docs) for docs in clusters.values()]\n        assert min(cluster_sizes) >= 1\n        # Allow for some imbalance in clustering results (realistic for random data)\n        assert max(cluster_sizes) <= n_docs * 0.7  # No single cluster dominates too much\n\n\nif __name__ == '__main__':\n    pytest.main([__file__, '-v'])\n\n"
  },
  {
    "path": "test/backend/test_document_vector_utils.py",
    "content": "\"\"\"\nTest module for document_vector_utils\n\nTests for document-level vector operations and clustering functionality.\n\"\"\"\nimport os\nimport sys\nfrom unittest.mock import MagicMock, patch\n\nimport numpy as np\nimport pytest\n\n# Mock consts module before patching backend.database.client to avoid ImportError\n# backend.database.client imports from consts.const, so we need to mock it first\nconsts_mock = MagicMock()\nconsts_const_mock = MagicMock()\n# Set required constants that backend.database.client might use\nconsts_const_mock.MINIO_ENDPOINT = \"http://localhost:9000\"\nconsts_const_mock.MINIO_ACCESS_KEY = \"test_access_key\"\nconsts_const_mock.MINIO_SECRET_KEY = \"test_secret_key\"\nconsts_const_mock.MINIO_REGION = \"us-east-1\"\nconsts_const_mock.MINIO_DEFAULT_BUCKET = \"test-bucket\"\nconsts_const_mock.POSTGRES_HOST = \"localhost\"\nconsts_const_mock.POSTGRES_USER = \"test_user\"\nconsts_const_mock.NEXENT_POSTGRES_PASSWORD = \"test_password\"\nconsts_const_mock.POSTGRES_DB = \"test_db\"\nconsts_const_mock.POSTGRES_PORT = 5432\nconsts_const_mock.LANGUAGE = {\"ZH\": \"zh\", \"EN\": \"en\"}\nconsts_const_mock.MESSAGE_ROLE = {\"USER\": \"user\", \"ASSISTANT\": \"assistant\", \"SYSTEM\": \"system\"}\nconsts_const_mock.THINK_START_PATTERN = \"<think>\"\nconsts_const_mock.THINK_END_PATTERN = \"</think>\"\nconsts_mock.const = consts_const_mock\n# Mock consts.error_code and consts.exceptions\nconsts_error_code_mock = MagicMock()\nconsts_error_code_mock.ErrorCode = MagicMock()\nconsts_exceptions_mock = MagicMock()\nconsts_exceptions_mock.AppException = Exception\nsys.modules['consts'] = consts_mock\nsys.modules['consts.const'] = consts_const_mock\nsys.modules['consts.error_code'] = consts_error_code_mock\nsys.modules['consts.exceptions'] = consts_exceptions_mock\n\n# Add backend to path before patching backend modules\ncurrent_dir = os.path.dirname(os.path.abspath(__file__))\nbackend_dir = os.path.abspath(os.path.join(current_dir, \"../../backend\"))\nsys.path.insert(0, backend_dir)\n\n# Patch storage factory and MinIO config validation to avoid errors during initialization\n# These patches must be started before any imports that use MinioClient\nstorage_client_mock = MagicMock()\nminio_client_mock = MagicMock()\npatch('nexent.storage.storage_client_factory.create_storage_client_from_config', return_value=storage_client_mock).start()\npatch('nexent.storage.minio_config.MinIOStorageConfig.validate', lambda self: None).start()\npatch('backend.database.client.MinioClient', return_value=minio_client_mock).start()\n\nfrom backend.utils.document_vector_utils import (\n    calculate_document_embedding,\n    auto_determine_k,\n    kmeans_cluster_documents,\n    extract_representative_chunks_smart,\n    summarize_document,\n    summarize_cluster,\n    summarize_clusters_map_reduce,\n    merge_cluster_summaries,\n    get_documents_from_es,\n    process_documents_for_clustering,\n    analyze_cluster_coherence,\n    merge_duplicate_documents_in_clusters\n)\n\n\nclass TestDocumentEmbedding:\n    \"\"\"Test document embedding calculation\"\"\"\n    \n    def test_calculate_document_embedding_simple_average(self):\n        \"\"\"Test simple average embedding calculation\"\"\"\n        chunks = [\n            {'embedding': [1.0, 2.0, 3.0], 'content': 'Content 1'},\n            {'embedding': [4.0, 5.0, 6.0], 'content': 'Content 2'},\n            {'embedding': [7.0, 8.0, 9.0], 'content': 'Content 3'}\n        ]\n        \n        result = calculate_document_embedding(chunks, use_weighted=False)\n        \n        assert result is not None\n        assert np.allclose(result, [4.0, 5.0, 6.0])  # Average of all embeddings\n    \n    def test_calculate_document_embedding_weighted(self):\n        \"\"\"Test weighted average embedding calculation (no position weight)\"\"\"\n        chunks = [\n            {'embedding': [1.0, 2.0], 'content': 'Short'},\n            {'embedding': [3.0, 4.0], 'content': 'Long content with more words'},\n            {'embedding': [5.0, 6.0], 'content': 'Medium length content'}\n        ]\n        \n        result = calculate_document_embedding(chunks, use_weighted=True)\n        \n        assert result is not None\n        assert len(result) == 2\n        # Weight should be based on content length only, not position\n        # First chunk should NOT have extra 1.5x weight\n        # Result should be weighted average where longer chunks have more weight\n    \n    def test_calculate_document_embedding_empty_chunks(self):\n        \"\"\"Test handling of empty chunks\"\"\"\n        chunks = []\n        result = calculate_document_embedding(chunks)\n        assert result is None\n    \n    def test_calculate_document_embedding_no_embeddings(self):\n        \"\"\"Test handling of chunks without embeddings\"\"\"\n        chunks = [\n            {'content': 'Content 1'},\n            {'content': 'Content 2'}\n        ]\n        result = calculate_document_embedding(chunks)\n        assert result is None\n\n\nclass TestAutoDetermineK:\n    \"\"\"Test automatic K determination\"\"\"\n    \n    def test_auto_determine_k_small_dataset(self):\n        \"\"\"Test K determination for small dataset\"\"\"\n        embeddings = np.random.rand(10, 128)\n        k = auto_determine_k(embeddings, min_k=3, max_k=15)\n        \n        assert 3 <= k <= 15\n    \n    def test_auto_determine_k_large_dataset(self):\n        \"\"\"Test K determination for large dataset\"\"\"\n        embeddings = np.random.rand(200, 128)\n        k = auto_determine_k(embeddings, min_k=3, max_k=15)\n        \n        assert 3 <= k <= 15\n    \n    def test_auto_determine_k_very_small_dataset(self):\n        \"\"\"Test K determination for very small dataset\"\"\"\n        embeddings = np.random.rand(5, 128)\n        k = auto_determine_k(embeddings, min_k=3, max_k=15)\n        \n        assert k >= 2\n        assert k <= 5\n    \n    def test_auto_determine_k_minimum(self):\n        \"\"\"Test K determination respects minimum\"\"\"\n        embeddings = np.random.rand(100, 128)\n        k = auto_determine_k(embeddings, min_k=5, max_k=15)\n        \n        assert k >= 5\n\n\nclass TestKMeansClustering:\n    \"\"\"Test K-means clustering\"\"\"\n    \n    def test_kmeans_cluster_documents(self):\n        \"\"\"Test basic K-means clustering\"\"\"\n        doc_embeddings = {\n            'doc1': np.array([1.0, 1.0]),\n            'doc2': np.array([1.1, 1.1]),\n            'doc3': np.array([5.0, 5.0]),\n            'doc4': np.array([5.1, 5.1]),\n            'doc5': np.array([9.0, 9.0]),\n            'doc6': np.array([9.1, 9.1])\n        }\n        \n        clusters = kmeans_cluster_documents(doc_embeddings, k=3)\n        \n        assert len(clusters) == 3\n        assert sum(len(docs) for docs in clusters.values()) == 6\n    \n    def test_kmeans_cluster_documents_auto_k(self):\n        \"\"\"Test K-means clustering with auto-determined K\"\"\"\n        doc_embeddings = {\n            f'doc{i}': np.random.rand(128) for i in range(50)\n        }\n        \n        clusters = kmeans_cluster_documents(doc_embeddings, k=None)\n        \n        assert len(clusters) > 0\n        assert sum(len(docs) for docs in clusters.values()) == 50\n    \n    def test_kmeans_cluster_documents_empty(self):\n        \"\"\"Test handling of empty embeddings\"\"\"\n        doc_embeddings = {}\n        clusters = kmeans_cluster_documents(doc_embeddings)\n        \n        assert clusters == {}\n    \n    def test_kmeans_cluster_documents_single(self):\n        \"\"\"Test handling of single document\"\"\"\n        doc_embeddings = {\n            'doc1': np.array([1.0, 1.0, 1.0])\n        }\n        clusters = kmeans_cluster_documents(doc_embeddings)\n        \n        # Should return single cluster with one document\n        assert len(clusters) == 1\n        assert 0 in clusters\n        assert len(clusters[0]) == 1\n        assert clusters[0][0] == 'doc1'\n\n\nclass TestExtractRepresentativeChunksSmart:\n    \"\"\"Test smart chunk selection\"\"\"\n\n    def test_extract_representative_chunks_smart_basic(self):\n        \"\"\"Test basic smart chunk selection\"\"\"\n        chunks = [\n            {'content': 'First chunk content'},\n            {'content': 'Second chunk content'},\n            {'content': 'Third chunk content'},\n            {'content': 'Fourth chunk content'}\n        ]\n\n        result = extract_representative_chunks_smart(chunks, max_chunks=3)\n\n        assert len(result) <= 3\n        assert result[0] == chunks[0]  # First chunk always included\n        assert result[-1] == chunks[-1]  # Last chunk included\n\n    def test_extract_representative_chunks_smart_import_error(self):\n        \"\"\"Test fallback when calculate_term_weights import fails\"\"\"\n        chunks = [\n            {'content': 'First chunk content'},\n            {'content': 'Second chunk content'},\n            {'content': 'Third chunk content'},\n            {'content': 'Fourth chunk content'}\n        ]\n\n        # Mock the import to fail\n        with patch.dict('sys.modules', {'nexent.core.nlp.tokenizer': None}):\n            result = extract_representative_chunks_smart(chunks, max_chunks=3)\n\n            # The fallback logic actually returns 3 chunks (first, middle, last)\n            assert len(result) == 3\n            assert result[0] == chunks[0]  # First chunk\n            assert result[-1] == chunks[-1]  # Last chunk\n\n\nclass TestSummarizeDocument:\n    \"\"\"Test document summarization\"\"\"\n\n    def test_summarize_document_no_model(self):\n        \"\"\"Test document summarization without model\"\"\"\n        result = summarize_document(\n            document_content=\"Test content\",\n            filename=\"test.pdf\",\n            model_id=None,\n            tenant_id=None\n        )\n        assert isinstance(result, str)\n        assert \"test.pdf\" in result\n\n    def test_summarize_document_with_model_placeholder(self):\n        \"\"\"Test document summarization with model ID but no actual LLM call\"\"\"\n        result = summarize_document(\n            document_content=\"Test content for summarization\",\n            filename=\"test.pdf\",\n            model_id=999,  # Non-existent model\n            tenant_id=\"test_tenant\"\n        )\n        assert isinstance(result, str)\n        assert len(result) > 0\n\n    def test_summarize_document_with_model_success(self):\n        \"\"\"Test document summarization when model config exists and LLM returns value\"\"\"\n        with patch('backend.utils.document_vector_utils.get_model_by_model_id') as mock_get_model, \\\n             patch('backend.utils.document_vector_utils.call_llm_for_system_prompt') as mock_llm:\n            mock_get_model.return_value = {\"id\": 1}\n            mock_llm.return_value = \"Generated summary\\n\"\n\n            result = summarize_document(\n                document_content=\"LLM content\",\n                filename=\"doc.pdf\",\n                language=\"en\",\n                max_words=50,\n                model_id=1,\n                tenant_id=\"tenant\"\n            )\n\n            assert result == \"Generated summary\"\n            mock_llm.assert_called_once()\n            call_args = mock_llm.call_args.kwargs\n            assert call_args[\"model_id\"] == 1\n            assert call_args[\"tenant_id\"] == \"tenant\"\n\n\nclass TestSummarizeCluster:\n    \"\"\"Test cluster summarization\"\"\"\n\n    def test_summarize_cluster_no_model(self):\n        \"\"\"Test cluster summarization without model\"\"\"\n        result = summarize_cluster(\n            document_summaries=[\"Summary 1\", \"Summary 2\"],\n            model_id=None,\n            tenant_id=None\n        )\n        assert isinstance(result, str)\n        assert \"Summary\" in result\n\n    def test_summarize_cluster_with_model_placeholder(self):\n        \"\"\"Test cluster summarization with model ID but no actual LLM call\"\"\"\n        result = summarize_cluster(\n            document_summaries=[\"Summary 1\", \"Summary 2\"],\n            model_id=999,  # Non-existent model\n            tenant_id=\"test_tenant\"\n        )\n        assert isinstance(result, str)\n        assert len(result) > 0\n\n    def test_summarize_cluster_with_model_success(self):\n        \"\"\"Test cluster summarization when model config exists and LLM returns value\"\"\"\n        with patch('backend.utils.document_vector_utils.get_model_by_model_id') as mock_get_model, \\\n             patch('backend.utils.document_vector_utils.call_llm_for_system_prompt') as mock_llm:\n            mock_get_model.return_value = {\"id\": 1}\n            mock_llm.return_value = \"Cluster summary text  \"\n\n            result = summarize_cluster(\n                document_summaries=[\"Doc 1 summary\", \"Doc 2 summary\"],\n                language=\"en\",\n                max_words=120,\n                model_id=1,\n                tenant_id=\"tenant\"\n            )\n\n            assert result == \"Cluster summary text\"\n            mock_llm.assert_called_once()\n            call_args = mock_llm.call_args.kwargs\n            assert call_args[\"model_id\"] == 1\n            assert call_args[\"tenant_id\"] == \"tenant\"\n\n\nclass TestSummarizeClustersMapReduce:\n    \"\"\"Test map-reduce cluster summarization\"\"\"\n\n    def test_summarize_clusters_map_reduce_basic(self):\n        \"\"\"Test basic map-reduce summarization\"\"\"\n        document_samples = {\n            'doc1': {\n                'chunks': [{'content': 'Content 1'}],\n                'filename': 'doc1.pdf',\n                'path_or_url': '/path/doc1.pdf'\n            },\n            'doc2': {\n                'chunks': [{'content': 'Content 2'}],\n                'filename': 'doc2.pdf',\n                'path_or_url': '/path/doc2.pdf'\n            }\n        }\n        clusters = {0: ['doc1', 'doc2']}\n\n        with patch('backend.utils.document_vector_utils.summarize_document') as mock_summarize_doc, \\\n             patch('backend.utils.document_vector_utils.summarize_cluster') as mock_summarize_cluster:\n\n            mock_summarize_doc.return_value = \"Document summary\"\n            mock_summarize_cluster.return_value = \"Cluster summary\"\n\n            result = summarize_clusters_map_reduce(\n                document_samples=document_samples,\n                clusters=clusters,\n                model_id=1,\n                tenant_id=\"test_tenant\"\n            )\n\n            assert isinstance(result, dict)\n            assert 0 in result\n            assert result[0] == \"Cluster summary\"\n\n    def test_summarize_clusters_map_reduce_no_valid_documents(self):\n        \"\"\"Test map-reduce when no valid documents in cluster\"\"\"\n        document_samples = {\n            'doc1': {\n                'chunks': [],\n                'filename': 'doc1.pdf'\n            }\n        }\n        clusters = {0: ['doc1']}\n\n        with patch('backend.utils.document_vector_utils.summarize_document') as mock_summarize_doc, \\\n             patch('backend.utils.document_vector_utils.summarize_cluster') as mock_summarize_cluster:\n\n            mock_summarize_doc.return_value = \"\"\n            mock_summarize_cluster.return_value = \"Mock cluster summary\"\n\n            result = summarize_clusters_map_reduce(\n                document_samples=document_samples,\n                clusters=clusters,\n                model_id=1,\n                tenant_id=\"test_tenant\"\n            )\n\n            assert isinstance(result, dict)\n            assert 0 in result\n            assert result[0] == \"Mock cluster summary\"\n\n\nclass TestMergeClusterSummaries:\n    \"\"\"Test cluster summary merging\"\"\"\n\n    def test_merge_cluster_summaries(self):\n        \"\"\"Test merging multiple cluster summaries\"\"\"\n        cluster_summaries = {\n            0: \"First cluster summary\",\n            1: \"Second cluster summary\",\n            2: \"Third cluster summary\"\n        }\n\n        result = merge_cluster_summaries(cluster_summaries)\n\n        assert isinstance(result, str)\n        assert \"First cluster summary\" in result\n        assert \"Second cluster summary\" in result\n        assert \"Third cluster summary\" in result\n        assert \"<p>\" in result  # Should use HTML p tags\n\n\nclass TestGetDocumentsFromEs:\n    \"\"\"Test ES document retrieval\"\"\"\n\n    def test_get_documents_from_es_mock(self):\n        \"\"\"Test ES document retrieval with mocked VectorDatabaseCore search\"\"\"\n        mock_vdb_core = MagicMock()\n        mock_vdb_core.search.return_value = {\n            'hits': {\n                'hits': [\n                    {\n                        '_source': {\n                            'path_or_url': '/path/doc1.pdf',\n                            'filename': 'doc1.pdf',\n                            'content': 'Content 1',\n                            'embedding': [1.0, 2.0, 3.0],\n                            'create_time': '2024-01-01T00:00:00'\n                        }\n                    }\n                ]\n            },\n            'aggregations': {\n                'unique_documents': {\n                    'buckets': [\n                        {\n                            'key': '/path/doc1.pdf',\n                            'doc_count': 1\n                        }\n                    ]\n                }\n            }\n        }\n\n        result = get_documents_from_es(\n            'test_index', mock_vdb_core, sample_doc_count=10)\n\n        assert isinstance(result, dict)\n        assert len(result) > 0\n        # Check that we have document data\n        first_doc = list(result.values())[0]\n        assert 'chunks' in first_doc\n        \n        # Verify that sort parameter is included in the query\n        call_args = mock_vdb_core.search.call_args\n        if call_args:\n            query_body = call_args[1].get('body') or call_args[0][1] if len(call_args[0]) > 1 else None\n            if query_body and 'sort' in query_body:\n                sort_config = query_body['sort']\n                assert isinstance(sort_config, list)\n                # Should have create_time sort\n                assert any('create_time' in str(sort_item) for sort_item in sort_config)\n\n\nclass TestProcessDocumentsForClustering:\n    \"\"\"Test document processing for clustering\"\"\"\n\n    def test_process_documents_for_clustering_mock(self):\n        \"\"\"Test document processing with mocked functions\"\"\"\n        mock_vdb_core = MagicMock()\n        mock_vdb_core.client.search.return_value = {\n            'hits': {\n                'hits': [\n                    {\n                        '_source': {\n                            'path_or_url': '/path/doc1.pdf',\n                            'filename': 'doc1.pdf',\n                            'content': 'Content 1',\n                            'embedding': [1.0, 2.0, 3.0]\n                        }\n                    }\n                ]\n            },\n            'aggregations': {\n                'unique_documents': {\n                    'buckets': [\n                        {\n                            'key': '/path/doc1.pdf',\n                            'doc_count': 1\n                        }\n                    ]\n                }\n            }\n        }\n\n        with patch('backend.utils.document_vector_utils.calculate_document_embedding') as mock_calc_embedding:\n            mock_calc_embedding.return_value = np.array([1.0, 2.0, 3.0])\n\n            documents, embeddings = process_documents_for_clustering(\n                'test_index', mock_vdb_core, sample_doc_count=10\n            )\n\n            assert isinstance(documents, dict)\n            assert isinstance(embeddings, dict)\n            assert len(documents) == len(embeddings)\n\n\nclass TestAnalyzeClusterCoherence:\n    \"\"\"Test cluster coherence analysis\"\"\"\n\n    def test_analyze_cluster_coherence(self):\n        \"\"\"Test cluster coherence analysis\"\"\"\n        document_samples = {\n            'doc1': {\n                'filename': 'doc1.pdf',\n                'path_or_url': '/path/doc1.pdf'\n            },\n            'doc2': {\n                'filename': 'doc2.pdf',\n                'path_or_url': '/path/doc2.pdf'\n            }\n        }\n        doc_ids = ['doc1', 'doc2']\n\n        result = analyze_cluster_coherence(doc_ids, document_samples)\n\n        assert isinstance(result, dict)\n        assert 'doc_count' in result\n        assert result['doc_count'] == 2\n\n\nclass TestMergeDuplicateDocumentsInClusters:\n    \"\"\"Test duplicate document merging in clusters\"\"\"\n    \n    def test_merge_duplicate_documents_same_cluster(self):\n        \"\"\"Test that documents in same cluster are not merged\"\"\"\n        clusters = {\n            0: ['doc1', 'doc2'],\n            1: ['doc3']\n        }\n        doc_embeddings = {\n            'doc1': np.array([1.0, 0.0]),\n            'doc2': np.array([0.9, 0.1]),\n            'doc3': np.array([0.0, 1.0])\n        }\n        \n        result = merge_duplicate_documents_in_clusters(clusters, doc_embeddings, similarity_threshold=0.98)\n        \n        # Documents with similarity < 0.98 should not be merged\n        assert len(result) == 2\n        assert 0 in result\n        assert 1 in result\n    \n    def test_merge_duplicate_documents_different_clusters(self):\n        \"\"\"Test that highly similar documents in different clusters are merged\"\"\"\n        clusters = {\n            0: ['doc1'],\n            1: ['doc2']\n        }\n        # Create two identical embeddings (duplicate documents)\n        identical_embedding = np.array([1.0, 0.0, 0.0])\n        doc_embeddings = {\n            'doc1': identical_embedding,\n            'doc2': identical_embedding.copy()  # Same embedding\n        }\n        \n        result = merge_duplicate_documents_in_clusters(clusters, doc_embeddings, similarity_threshold=0.98)\n        \n        # Documents with similarity >= 0.98 should be merged into same cluster\n        # Result should have fewer clusters\n        assert len(result) <= 2\n    \n    def test_merge_duplicate_documents_empty_clusters(self):\n        \"\"\"Test handling of empty clusters\"\"\"\n        clusters = {}\n        doc_embeddings = {}\n        \n        result = merge_duplicate_documents_in_clusters(clusters, doc_embeddings)\n        \n        assert result == {}\n    \n    def test_merge_duplicate_documents_error_handling(self):\n        \"\"\"Test error handling in merge function\"\"\"\n        clusters = {\n            0: ['doc1', 'doc2']\n        }\n        doc_embeddings = {\n            'doc1': np.array([1.0, 0.0]),\n            'doc2': np.array([0.9, 0.1])\n        }\n        \n        # Should not raise exception even with invalid similarity calculation\n        result = merge_duplicate_documents_in_clusters(clusters, doc_embeddings, similarity_threshold=2.0)\n        \n        # Should return clusters (possibly unchanged due to high threshold)\n        assert isinstance(result, dict)\n\n\nif __name__ == '__main__':\n    pytest.main([__file__, '-v'])\n\n"
  },
  {
    "path": "test/backend/test_document_vector_utils_coverage.py",
    "content": "\"\"\"\nSupplementary test module for document_vector_utils to improve code coverage\n\nTests for functions not fully covered in other test files.\n\"\"\"\nimport os\nimport sys\nfrom unittest.mock import MagicMock, patch, mock_open\n\nimport numpy as np\nimport pytest\n\n# Mock consts module before patching backend.database.client to avoid ImportError\n# backend.database.client imports from consts.const, so we need to mock it first\nconsts_mock = MagicMock()\nconsts_const_mock = MagicMock()\n# Set required constants that backend.database.client might use\nconsts_const_mock.MINIO_ENDPOINT = \"http://localhost:9000\"\nconsts_const_mock.MINIO_ACCESS_KEY = \"test_access_key\"\nconsts_const_mock.MINIO_SECRET_KEY = \"test_secret_key\"\nconsts_const_mock.MINIO_REGION = \"us-east-1\"\nconsts_const_mock.MINIO_DEFAULT_BUCKET = \"test-bucket\"\nconsts_const_mock.POSTGRES_HOST = \"localhost\"\nconsts_const_mock.POSTGRES_USER = \"test_user\"\nconsts_const_mock.NEXENT_POSTGRES_PASSWORD = \"test_password\"\nconsts_const_mock.POSTGRES_DB = \"test_db\"\nconsts_const_mock.LANGUAGE = {\"ZH\": \"zh\", \"EN\": \"en\"}\nconsts_const_mock.MESSAGE_ROLE = {\"USER\": \"user\", \"ASSISTANT\": \"assistant\", \"SYSTEM\": \"system\"}\nconsts_const_mock.THINK_START_PATTERN = \"<think>\"\nconsts_const_mock.THINK_END_PATTERN = \"</think>\"\nconsts_mock.const = consts_const_mock\n# Mock consts.error_code and consts.exceptions\nconsts_error_code_mock = MagicMock()\nconsts_error_code_mock.ErrorCode = MagicMock()\nconsts_exceptions_mock = MagicMock()\nconsts_exceptions_mock.AppException = Exception\nsys.modules['consts'] = consts_mock\nsys.modules['consts.const'] = consts_const_mock\nsys.modules['consts.error_code'] = consts_error_code_mock\nsys.modules['consts.exceptions'] = consts_exceptions_mock\n\n# Add backend to path before patching backend modules\ncurrent_dir = os.path.dirname(os.path.abspath(__file__))\nbackend_dir = os.path.abspath(os.path.join(current_dir, \"../../backend\"))\nsys.path.insert(0, backend_dir)\n\n# Patch storage factory and MinIO config validation to avoid errors during initialization\n# These patches must be started before any imports that use MinioClient\nstorage_client_mock = MagicMock()\nminio_client_mock = MagicMock()\npatch('nexent.storage.storage_client_factory.create_storage_client_from_config', return_value=storage_client_mock).start()\npatch('nexent.storage.minio_config.MinIOStorageConfig.validate', lambda self: None).start()\npatch('backend.database.client.MinioClient', return_value=minio_client_mock).start()\n\nfrom backend.utils.document_vector_utils import (\n    get_documents_from_es,\n    process_documents_for_clustering,\n    extract_representative_chunks_smart,\n    analyze_cluster_coherence,\n    summarize_document,\n    summarize_cluster,\n    summarize_clusters_map_reduce,\n    merge_cluster_summaries,\n    calculate_document_embedding,\n    auto_determine_k,\n    kmeans_cluster_documents,\n    merge_duplicate_documents_in_clusters\n)\n\n\nclass TestGetDocumentsFromES:\n    \"\"\"Test Elasticsearch document retrieval\"\"\"\n    \n    def test_get_documents_from_es_success(self):\n        \"\"\"Test successful document retrieval from ES\"\"\"\n        mock_vdb_core = MagicMock()\n        mock_vdb_core.search.return_value = {\n            'aggregations': {\n                'unique_documents': {\n                    'buckets': [\n                        {'key': '/path/doc1.pdf', 'doc_count': 3},\n                        {'key': '/path/doc2.pdf', 'doc_count': 2}\n                    ]\n                }\n            },\n            'hits': {\n                'hits': [\n                    {\n                        '_source': {\n                            'filename': 'doc1.pdf',\n                            'content': 'test content',\n                            'embedding': [0.1, 0.2, 0.3],\n                            'file_size': 1000\n                        }\n                    }\n                ]\n            }\n        }\n        \n        result = get_documents_from_es('test_index', mock_vdb_core, sample_doc_count=10)\n        assert isinstance(result, dict)\n        assert mock_vdb_core.search.called\n    \n    def test_get_documents_from_es_empty(self):\n        \"\"\"Test ES retrieval with no documents\"\"\"\n        mock_vdb_core = MagicMock()\n        mock_vdb_core.search.return_value = {\n            'aggregations': {\n                'unique_documents': {\n                    'buckets': []\n                }\n            }\n        }\n        \n        result = get_documents_from_es('test_index', mock_vdb_core)\n        assert result == {}\n    \n    def test_get_documents_from_es_error(self):\n        \"\"\"Test ES retrieval error handling\"\"\"\n        mock_vdb_core = MagicMock()\n        mock_vdb_core.search.side_effect = Exception(\"ES error\")\n        \n        with pytest.raises(Exception, match=\"Failed to retrieve documents from Elasticsearch\"):\n            get_documents_from_es('test_index', mock_vdb_core)\n\n\nclass TestProcessDocumentsForClustering:\n    \"\"\"Test document processing for clustering\"\"\"\n    \n    @patch('backend.utils.document_vector_utils.get_documents_from_es')\n    @patch('backend.utils.document_vector_utils.calculate_document_embedding')\n    def test_process_documents_success(self, mock_calc_emb, mock_get_docs):\n        \"\"\"Test successful document processing\"\"\"\n        mock_get_docs.return_value = {\n            'doc1': {\n                'chunks': [{'embedding': [0.1, 0.2, 0.3]}],\n                'filename': 'test.pdf'\n            }\n        }\n        mock_calc_emb.return_value = np.array([0.1, 0.2, 0.3])\n        \n        mock_vdb_core = MagicMock()\n        docs, embeddings = process_documents_for_clustering('test_index', mock_vdb_core)\n        \n        assert isinstance(docs, dict)\n        assert isinstance(embeddings, dict)\n        assert 'doc1' in docs\n        assert 'doc1' in embeddings\n    \n    @patch('backend.utils.document_vector_utils.get_documents_from_es')\n    def test_process_documents_empty(self, mock_get_docs):\n        \"\"\"Test processing with no documents\"\"\"\n        mock_get_docs.return_value = {}\n        \n        mock_vdb_core = MagicMock()\n        docs, embeddings = process_documents_for_clustering('test_index', mock_vdb_core)\n        \n        assert docs == {}\n        assert embeddings == {}\n\n\nclass TestExtractClusterContent:\n    \"\"\"Test cluster content extraction\"\"\"\n    \n    def test_extract_representative_chunks_smart(self):\n        \"\"\"Test smart chunk extraction\"\"\"\n        chunks = [\n            {'content': 'important keyword data'},\n            {'content': 'regular content'},\n            {'content': 'more keyword information'}\n        ]\n        \n        result = extract_representative_chunks_smart(chunks, max_chunks=2)\n        assert len(result) <= 2\n        assert len(result) > 0\n    \n    def test_extract_representative_chunks_smart_single(self):\n        \"\"\"Test smart extraction with single chunk\"\"\"\n        chunks = [\n            {'content': 'single chunk content'}\n        ]\n        \n        result = extract_representative_chunks_smart(chunks, max_chunks=1)\n        assert len(result) == 1\n\n\nclass TestAnalyzeClusterCoherence:\n    \"\"\"Test cluster coherence analysis\"\"\"\n    \n    def test_analyze_cluster_coherence_basic(self):\n        \"\"\"Test basic cluster coherence analysis\"\"\"\n        document_samples = {\n            'doc1': {\n                'filename': 'test1.pdf',\n                'chunks': [{'content': 'test content 1'}],\n                'file_size': 1000\n            },\n            'doc2': {\n                'filename': 'test2.pdf',\n                'chunks': [{'content': 'test content 2'}],\n                'file_size': 2000\n            }\n        }\n        cluster_doc_ids = ['doc1', 'doc2']\n        \n        result = analyze_cluster_coherence(cluster_doc_ids, document_samples)\n        assert isinstance(result, dict)\n\n\nclass TestSummarizeDocument:\n    \"\"\"Test document summarization\"\"\"\n    \n    def test_summarize_document_no_model(self):\n        \"\"\"Test document summarization without model\"\"\"\n        result = summarize_document(\n            document_content=\"Test content\",\n            filename=\"test.pdf\",\n            model_id=None,\n            tenant_id=None\n        )\n        assert isinstance(result, str)\n        assert \"test.pdf\" in result\n    \n    def test_summarize_document_with_model_placeholder(self):\n        \"\"\"Test document summarization with model ID but no actual LLM call\"\"\"\n        # With model_id and tenant_id, but without actual database connection,\n        # it should return a placeholder or error message\n        result = summarize_document(\n            document_content=\"Test content for summarization\",\n            filename=\"test.pdf\",\n            model_id=999,  # Non-existent model\n            tenant_id=\"test_tenant\"\n        )\n        assert isinstance(result, str)\n        # Either placeholder summary or error handling\n        assert len(result) > 0\n\n\nclass TestSummarizeCluster:\n    \"\"\"Test cluster summarization\"\"\"\n    \n    def test_summarize_cluster_no_model(self):\n        \"\"\"Test cluster summarization without model\"\"\"\n        doc_summaries = [\"Summary 1\", \"Summary 2\"]\n        # Without model, it will return a formatted summary\n        result = summarize_cluster(\n            document_summaries=doc_summaries,\n            model_id=None,\n            tenant_id=None\n        )\n        assert isinstance(result, str)\n        # The function returns an error or formatted text, just check it's a string\n        assert len(result) > 0\n    \nclass TestSummarizeClustersMapReduce:\n    \"\"\"Test Map-Reduce cluster summarization\"\"\"\n    \n    @patch('backend.utils.document_vector_utils.summarize_document')\n    @patch('backend.utils.document_vector_utils.summarize_cluster')\n    def test_summarize_clusters_map_reduce(self, mock_sum_cluster, mock_sum_doc):\n        \"\"\"Test Map-Reduce summarization\"\"\"\n        document_samples = {\n            'doc1': {\n                'filename': 'test1.pdf',\n                'chunks': [{'content': 'test content 1'}]\n            },\n            'doc2': {\n                'filename': 'test2.pdf',\n                'chunks': [{'content': 'test content 2'}]\n            }\n        }\n        # clusters should map cluster_id to list of doc_ids\n        clusters = {0: ['doc1', 'doc2']}\n        \n        mock_sum_doc.return_value = \"Doc summary\"\n        mock_sum_cluster.return_value = \"Cluster summary\"\n        \n        result = summarize_clusters_map_reduce(\n            document_samples=document_samples,\n            clusters=clusters,\n            language='en'\n        )\n        \n        assert isinstance(result, dict)\n        assert 0 in result\n\n\nclass TestMergeClusterSummaries:\n    \"\"\"Test cluster summary merging\"\"\"\n    \n    def test_merge_cluster_summaries_basic(self):\n        \"\"\"Test basic cluster summary merging\"\"\"\n        cluster_summaries = {\n            0: \"Summary for cluster 0\",\n            1: \"Summary for cluster 1\"\n        }\n        \n        result = merge_cluster_summaries(cluster_summaries)\n        assert isinstance(result, str)\n        assert \"Summary for cluster 0\" in result\n        assert \"Summary for cluster 1\" in result\n        assert \"<p>\" in result  # HTML paragraph tags\n    \n    def test_merge_cluster_summaries_empty(self):\n        \"\"\"Test merging empty summaries\"\"\"\n        cluster_summaries = {\n            0: \"\",\n            1: \"Summary for cluster 1\"\n        }\n        \n        result = merge_cluster_summaries(cluster_summaries)\n        assert isinstance(result, str)\n        assert \"Summary for cluster 1\" in result\n    \n    def test_merge_cluster_summaries_single(self):\n        \"\"\"Test merging single cluster summary\"\"\"\n        cluster_summaries = {\n            0: \"Single cluster summary\"\n        }\n        \n        result = merge_cluster_summaries(cluster_summaries)\n        assert isinstance(result, str)\n        assert \"Single cluster summary\" in result\n\n\nclass TestAdditionalCoverage:\n    \"\"\"Test additional coverage for uncovered code paths\"\"\"\n    \n    def test_get_documents_from_es_non_list_documents(self):\n        \"\"\"Test ES retrieval when all_documents is not a list\"\"\"\n        mock_vdb_core = MagicMock()\n        \n        # Mock the first search call to return a tuple instead of list\n        mock_vdb_core.client.search.side_effect = [\n            {\n                'aggregations': {\n                    'unique_documents': {\n                        'buckets': (  # This will trigger the isinstance check\n                            {'key': '/path/doc1.pdf', 'doc_count': 3},\n                        )\n                    }\n                }\n            },\n            {\n                'hits': {\n                    'hits': [\n                        {\n                            '_source': {\n                                'filename': 'doc1.pdf',\n                                'content': 'test content',\n                                'embedding': [0.1, 0.2, 0.3],\n                                'file_size': 1000\n                            }\n                        }\n                    ]\n                }\n            }\n        ]\n        \n        result = get_documents_from_es('test_index', mock_vdb_core)\n        assert isinstance(result, dict)\n    \n    def test_get_documents_from_es_no_chunks(self):\n        \"\"\"Test ES retrieval when document has no chunks\"\"\"\n        mock_vdb_core = MagicMock()\n        mock_vdb_core.client.search.side_effect = [\n            {\n                'aggregations': {\n                    'unique_documents': {\n                        'buckets': [\n                            {'key': '/path/doc1.pdf', 'doc_count': 0}\n                        ]\n                    }\n                }\n            },\n            {\n                'hits': {\n                    'hits': []  # No chunks\n                }\n            }\n        ]\n        \n        result = get_documents_from_es('test_index', mock_vdb_core)\n        assert result == {}  # Should return empty dict when no chunks\n    \n    def test_calculate_document_embedding_exception(self):\n        \"\"\"Test calculate_document_embedding with exception\"\"\"\n        chunks = [\n            {'content': 'test content', 'embedding': [0.1, 0.2, 0.3]}\n        ]\n        \n        # Mock numpy operations to raise exception\n        with patch('numpy.array') as mock_array:\n            mock_array.side_effect = Exception(\"Numpy error\")\n            \n            result = calculate_document_embedding(chunks)\n            assert result is None\n    \n    def test_auto_determine_k_small_dataset(self):\n        \"\"\"Test auto_determine_k with very small dataset\"\"\"\n        # Create embeddings with only 2 samples (less than min_k=3)\n        embeddings = np.array([[0.1, 0.2], [0.3, 0.4]])\n        \n        result = auto_determine_k(embeddings, min_k=3, max_k=5)\n        assert result == 2  # Should return max(2, n_samples)\n    \n    def test_auto_determine_k_exception(self):\n        \"\"\"Test auto_determine_k with exception during calculation\"\"\"\n        embeddings = np.array([[0.1, 0.2], [0.3, 0.4], [0.5, 0.6]])\n        \n        # Mock silhouette_score to raise exception\n        with patch('sklearn.metrics.silhouette_score') as mock_silhouette:\n            mock_silhouette.side_effect = Exception(\"Silhouette error\")\n            \n            result = auto_determine_k(embeddings, min_k=2, max_k=3)\n            # Should use heuristic fallback\n            assert isinstance(result, int)\n            assert result >= 2\n    \n    def test_kmeans_cluster_documents_empty(self):\n        \"\"\"Test kmeans_cluster_documents with empty embeddings\"\"\"\n        result = kmeans_cluster_documents({})\n        assert result == {}\n    \n    def test_kmeans_cluster_documents_exception(self):\n        \"\"\"Test kmeans_cluster_documents with exception\"\"\"\n        doc_embeddings = {\n            'doc1': np.array([0.1, 0.2, 0.3]),\n            'doc2': np.array([0.4, 0.5, 0.6])\n        }\n        \n        # Mock auto_determine_k to raise exception\n        with patch('backend.utils.document_vector_utils.auto_determine_k') as mock_auto_k:\n            mock_auto_k.side_effect = Exception(\"Auto K error\")\n            \n            with pytest.raises(Exception, match=\"Failed to cluster documents\"):\n                kmeans_cluster_documents(doc_embeddings)\n    \n    def test_process_documents_for_clustering_exception(self):\n        \"\"\"Test process_documents_for_clustering with exception\"\"\"\n        mock_vdb_core = MagicMock()\n        mock_vdb_core.search.side_effect = Exception(\"ES error\")\n        \n        with pytest.raises(Exception, match=\"Failed to process documents\"):\n            process_documents_for_clustering('test_index', mock_vdb_core)\n    \n    def test_process_documents_for_clustering_no_embeddings(self):\n        \"\"\"Test process_documents_for_clustering when some documents fail embedding calculation\"\"\"\n        mock_vdb_core = MagicMock()\n        mock_vdb_core.search.return_value = {\n            'aggregations': {\n                'unique_documents': {\n                    'buckets': [\n                        {'key': '/path/doc1.pdf', 'doc_count': 1}\n                    ]\n                }\n            },\n            'hits': {\n                'hits': [\n                    {\n                        '_source': {\n                            'filename': 'doc1.pdf',\n                            'content': 'test content',\n                            'embedding': [0.1, 0.2, 0.3],\n                            'file_size': 1000\n                        }\n                    }\n                ]\n            }\n        }\n        \n        # Mock calculate_document_embedding to return None\n        with patch('backend.utils.document_vector_utils.calculate_document_embedding') as mock_calc:\n            mock_calc.return_value = None\n            \n            docs, embeddings = process_documents_for_clustering('test_index', mock_vdb_core)\n            assert isinstance(docs, dict)\n            assert isinstance(embeddings, dict)\n            assert len(embeddings) == 0  # No successful embeddings\n    \n    def test_extract_representative_chunks_smart_import_error(self):\n        \"\"\"Test extract_representative_chunks_smart with ImportError\"\"\"\n        chunks = [\n            {'content': 'chunk 1'},\n            {'content': 'chunk 2'},\n            {'content': 'chunk 3'}\n        ]\n        \n        # Mock the import to raise ImportError\n        with patch('builtins.__import__', side_effect=ImportError(\"Module not found\")):\n            result = extract_representative_chunks_smart(chunks, max_chunks=2)\n            assert len(result) <= 2\n            assert len(result) > 0\n    \n    def test_extract_representative_chunks_smart_short_content(self):\n        \"\"\"Test extract_representative_chunks_smart with short content\"\"\"\n        chunks = [\n            {'content': 'short'},\n            {'content': 'also short'},\n            {'content': 'very short content'}\n        ]\n        \n        result = extract_representative_chunks_smart(chunks, max_chunks=2)\n        assert len(result) <= 2\n        assert len(result) > 0\n    \n    def test_analyze_cluster_coherence_empty(self):\n        \"\"\"Test analyze_cluster_coherence with empty cluster_doc_ids\"\"\"\n        document_samples = {\n            'doc1': {\n                'chunks': [{'content': 'test content'}]\n            }\n        }\n        cluster_doc_ids = []\n        \n        result = analyze_cluster_coherence(cluster_doc_ids, document_samples)\n        assert result == {}\n    \n    def test_analyze_cluster_coherence_missing_doc(self):\n        \"\"\"Test analyze_cluster_coherence with missing document\"\"\"\n        document_samples = {\n            'doc1': {\n                'chunks': [{'content': 'test content'}]\n            }\n        }\n        cluster_doc_ids = ['doc1', 'missing_doc']\n        \n        result = analyze_cluster_coherence(cluster_doc_ids, document_samples)\n        assert isinstance(result, dict)\n    \n    def test_analyze_cluster_coherence_no_chunks(self):\n        \"\"\"Test analyze_cluster_coherence with document having no chunks\"\"\"\n        document_samples = {\n            'doc1': {\n                'chunks': []\n            }\n        }\n        cluster_doc_ids = ['doc1']\n        \n        result = analyze_cluster_coherence(cluster_doc_ids, document_samples)\n        assert isinstance(result, dict)\n    \n    def test_summarize_clusters_map_reduce_missing_doc(self):\n        \"\"\"Test summarize_clusters_map_reduce with missing document\"\"\"\n        document_samples = {\n            'doc1': {\n                'chunks': [{'content': 'test content'}],\n                'filename': 'test.pdf'\n            }\n        }\n        clusters = {0: ['doc1', 'missing_doc']}\n        \n        with patch('backend.utils.document_vector_utils.summarize_document') as mock_sum_doc:\n            mock_sum_doc.return_value = \"Doc summary\"\n            \n            with patch('backend.utils.document_vector_utils.summarize_cluster') as mock_sum_cluster:\n                mock_sum_cluster.return_value = \"Cluster summary\"\n                \n                result = summarize_clusters_map_reduce(document_samples, clusters)\n                assert isinstance(result, dict)\n                assert 0 in result\n    \n    def test_summarize_clusters_map_reduce_few_chunks(self):\n        \"\"\"Test summarize_clusters_map_reduce with document having few chunks\"\"\"\n        document_samples = {\n            'doc1': {\n                'chunks': [\n                    {'content': 'chunk 1'},\n                    {'content': 'chunk 2'}\n                ],\n                'filename': 'test.pdf'\n            }\n        }\n        clusters = {0: ['doc1']}\n        \n        with patch('backend.utils.document_vector_utils.summarize_document') as mock_sum_doc:\n            mock_sum_doc.return_value = \"Doc summary\"\n            \n            with patch('backend.utils.document_vector_utils.summarize_cluster') as mock_sum_cluster:\n                mock_sum_cluster.return_value = \"Cluster summary\"\n                \n                result = summarize_clusters_map_reduce(document_samples, clusters)\n                assert isinstance(result, dict)\n                assert 0 in result\n    \n    def test_summarize_clusters_map_reduce_long_content(self):\n        \"\"\"Test summarize_clusters_map_reduce with long content\"\"\"\n        long_content = 'x' * 1500  # Longer than 1000 chars\n        document_samples = {\n            'doc1': {\n                'chunks': [\n                    {'content': long_content}\n                ],\n                'filename': 'test.pdf'\n            }\n        }\n        clusters = {0: ['doc1']}\n        \n        with patch('backend.utils.document_vector_utils.summarize_document') as mock_sum_doc:\n            mock_sum_doc.return_value = \"Doc summary\"\n            \n            with patch('backend.utils.document_vector_utils.summarize_cluster') as mock_sum_cluster:\n                mock_sum_cluster.return_value = \"Cluster summary\"\n                \n                result = summarize_clusters_map_reduce(document_samples, clusters)\n                assert isinstance(result, dict)\n                assert 0 in result\n    \n    def test_summarize_clusters_map_reduce_no_valid_docs(self):\n        \"\"\"Test summarize_clusters_map_reduce with no valid document summaries\"\"\"\n        document_samples = {\n            'doc1': {\n                'chunks': [{'content': 'test content'}],\n                'filename': 'test.pdf'\n            }\n        }\n        clusters = {0: ['doc1']}\n        \n        with patch('backend.utils.document_vector_utils.summarize_document') as mock_sum_doc:\n            mock_sum_doc.return_value = \"\"  # Empty summary\n            \n            with patch('backend.utils.document_vector_utils.summarize_cluster') as mock_sum_cluster:\n                mock_sum_cluster.return_value = \"Cluster summary\"\n                \n                result = summarize_clusters_map_reduce(document_samples, clusters)\n                assert isinstance(result, dict)\n                assert 0 in result\n\n"
  },
  {
    "path": "test/backend/test_llm_integration.py",
    "content": "\"\"\"\nTest LLM integration for knowledge base summarization\n\"\"\"\n\nimport pytest\nimport sys\nimport os\nimport types\nfrom unittest.mock import patch, MagicMock\n\n# Add backend to path\nsys.path.insert(0, os.path.join(os.path.dirname(__file__), '..', '..', 'backend'))\n\n# Mock database.client and MinioClient before any imports to avoid MinIO initialization\nclass _MinioClient:\n    pass\n\nif \"database.client\" not in sys.modules:\n    database_client_mod = types.ModuleType(\"database.client\")\n    database_client_mod.MinioClient = _MinioClient\n    sys.modules[\"database.client\"] = database_client_mod\n\n# Mock backend.database.client as well\nif \"backend.database.client\" not in sys.modules:\n    backend_db_client_mod = types.ModuleType(\"backend.database.client\")\n    backend_db_client_mod.MinioClient = _MinioClient\n    sys.modules[\"backend.database.client\"] = backend_db_client_mod\n\n# Ensure database module exists as a package (needs __path__ attribute)\nif \"database\" not in sys.modules:\n    database_mod = types.ModuleType(\"database\")\n    database_mod.__path__ = []  # Make it a package\n    sys.modules[\"database\"] = database_mod\n\n# Mock database.model_management_db module to avoid MinIO initialization\nif \"database.model_management_db\" not in sys.modules:\n    model_mgmt_db_mod = types.ModuleType(\"database.model_management_db\")\n    model_mgmt_db_mod.get_model_by_model_id = MagicMock(return_value=None)\n    sys.modules[\"database.model_management_db\"] = model_mgmt_db_mod\n    setattr(sys.modules[\"database\"], \"model_management_db\", model_mgmt_db_mod)\n\n# Mock database.tenant_config_db to avoid import errors\nif \"database.tenant_config_db\" not in sys.modules:\n    tenant_config_db_mod = types.ModuleType(\"database.tenant_config_db\")\n    # Mock all functions that config_utils imports\n    tenant_config_db_mod.delete_config_by_tenant_config_id = MagicMock()\n    tenant_config_db_mod.get_all_configs_by_tenant_id = MagicMock()\n    tenant_config_db_mod.get_single_config_info = MagicMock()\n    tenant_config_db_mod.insert_config = MagicMock()\n    tenant_config_db_mod.update_config_by_tenant_config_id_and_data = MagicMock()\n    sys.modules[\"database.tenant_config_db\"] = tenant_config_db_mod\n    setattr(sys.modules[\"database\"], \"tenant_config_db\", tenant_config_db_mod)\n\nfrom utils.document_vector_utils import summarize_document, summarize_cluster\n\n\nclass TestLLMIntegration:\n    \"\"\"Test LLM integration functionality\"\"\"\n    \n    def test_summarize_document_without_llm(self):\n        \"\"\"Test document summarization without LLM (fallback mode)\"\"\"\n        content = \"This is a test document with some content about machine learning and AI.\"\n        filename = \"test_doc.txt\"\n        \n        result = summarize_document(content, filename, language=\"zh\", max_words=50)\n        \n        # Should return placeholder when no model_id/tenant_id provided\n        assert \"[Document Summary: test_doc.txt]\" in result\n        assert \"max 50 words\" in result\n        assert \"Content:\" in result\n    \n    def test_summarize_document_with_llm_params_no_config(self):\n        \"\"\"Test document summarization with LLM parameters but no model config\"\"\"\n        content = \"This is a test document with some content about machine learning and AI.\"\n        filename = \"test_doc.txt\"\n        \n        # Mock get_model_by_model_id to return None (no config found)\n        # Use the already mocked module and just ensure it returns None\n        import database.model_management_db as model_mgmt_db\n        model_mgmt_db.get_model_by_model_id = MagicMock(return_value=None)\n        \n        # Test with model_id and tenant_id but no actual LLM call (will fallback due to missing config)\n        result = summarize_document(\n            content, filename, language=\"zh\", max_words=50, \n            model_id=1, tenant_id=\"test_tenant\"\n        )\n        \n        # Should return placeholder summary when model config not found (fallback behavior)\n        assert \"[Document Summary: test_doc.txt]\" in result\n        assert \"max 50 words\" in result\n        assert \"Content:\" in result\n    \n    def test_summarize_cluster_without_llm(self):\n        \"\"\"Test cluster summarization without LLM (fallback mode)\"\"\"\n        document_summaries = [\n            \"Document 1 is about machine learning algorithms.\",\n            \"Document 2 discusses neural networks and deep learning.\",\n            \"Document 3 covers AI applications in healthcare.\"\n        ]\n        \n        result = summarize_cluster(document_summaries, language=\"zh\", max_words=100)\n        \n        # Should return placeholder when no model_id/tenant_id provided\n        assert \"[Cluster Summary]\" in result\n        assert \"max 100 words\" in result\n        assert \"Based on 3 documents\" in result\n    \n    def test_summarize_cluster_with_llm_params_no_config(self):\n        \"\"\"Test cluster summarization with LLM parameters but no model config\"\"\"\n        document_summaries = [\n            \"Document 1 is about machine learning algorithms.\",\n            \"Document 2 discusses neural networks and deep learning.\"\n        ]\n        \n        # Mock get_model_by_model_id to return None (no config found)\n        # Use the already mocked module and just ensure it returns None\n        import database.model_management_db as model_mgmt_db\n        model_mgmt_db.get_model_by_model_id = MagicMock(return_value=None)\n        \n        result = summarize_cluster(\n            document_summaries, language=\"zh\", max_words=100,\n            model_id=1, tenant_id=\"test_tenant\"\n        )\n        \n        # Should return placeholder summary when model config not found (fallback behavior)\n        assert \"[Cluster Summary]\" in result\n        assert \"max 100 words\" in result\n        assert \"Based on 2 documents\" in result\n    \n    def test_summarize_document_english(self):\n        \"\"\"Test document summarization in English\"\"\"\n        content = \"This is a test document with some content about machine learning and AI.\"\n        filename = \"test_doc.txt\"\n        \n        result = summarize_document(content, filename, language=\"en\", max_words=50)\n        \n        # Should return placeholder when no model_id/tenant_id provided\n        assert \"[Document Summary: test_doc.txt]\" in result\n        assert \"max 50 words\" in result\n        assert \"Content:\" in result\n    \n    def test_summarize_cluster_english(self):\n        \"\"\"Test cluster summarization in English\"\"\"\n        document_summaries = [\n            \"Document 1 is about machine learning algorithms.\",\n            \"Document 2 discusses neural networks and deep learning.\"\n        ]\n        \n        result = summarize_cluster(document_summaries, language=\"en\", max_words=100)\n        \n        # Should return placeholder when no model_id/tenant_id provided\n        assert \"[Cluster Summary]\" in result\n        assert \"max 100 words\" in result\n        assert \"Based on 2 documents\" in result\n"
  },
  {
    "path": "test/backend/test_model_consts.py",
    "content": "import pytest\nfrom pydantic import ValidationError\n\nfrom backend.consts import model as model_consts\n\n\ndef test_model_connect_status_enum_defaults_and_get_value():\n    assert model_consts.ModelConnectStatusEnum.get_default() == \"not_detected\"\n    assert model_consts.ModelConnectStatusEnum.get_value(\"\") == \"not_detected\"\n    assert model_consts.ModelConnectStatusEnum.get_value(None) == \"not_detected\"\n    assert model_consts.ModelConnectStatusEnum.get_value(\"available\") == \"available\"\n\n\ndef test_model_request_and_validation():\n    # Basic construction\n    mr = model_consts.ModelRequest(model_name=\"mymodel\", model_type=\"llm\")\n    assert mr.model_name == \"mymodel\"\n    assert mr.model_type == \"llm\"\n\n    # Chunk create request requires non-empty content\n    with pytest.raises(ValidationError):\n        model_consts.ChunkCreateRequest(content=\"\")\n\n    # Valid chunk create\n    req = model_consts.ChunkCreateRequest(content=\"a\", title=\"t\", filename=\"f\")\n    assert req.content == \"a\"\n    assert req.title == \"t\"\n    assert req.filename == \"f\"\n\n\n"
  },
  {
    "path": "test/backend/test_runtime_service.py",
    "content": "import os\nimport sys\nimport asyncio\nimport types\nfrom unittest.mock import patch, MagicMock, AsyncMock\n\nimport pytest\n\n# Dynamically determine the backend path - MUST BE FIRST\ncurrent_dir = os.path.dirname(os.path.abspath(__file__))\nbackend_dir = os.path.abspath(os.path.join(current_dir, \"../../backend\"))\nsys.path.insert(0, backend_dir)\n\n# Patch environment variables before any imports that might use them\n# Environment variables are now configured in conftest.py\n\n# Mock boto3 and dotenv before importing the module under test\nboto3_mock = MagicMock()\nminio_client_mock = MagicMock()\nsys.modules['boto3'] = boto3_mock\nsys.modules['dotenv'] = MagicMock(load_dotenv=MagicMock())\n\n# Mock nexent modules before importing modules that use them\nnexent_mock = MagicMock()\nsys.modules['nexent'] = nexent_mock\nsys.modules['nexent.core'] = MagicMock()\nsys.modules['nexent.core.models.embedding_model'] = MagicMock()\nsys.modules['nexent.core.nlp'] = MagicMock()\nsys.modules['nexent.core.nlp.tokenizer'] = MagicMock()\n\n# Stub nexent.core.models.* required by attachment_utils and file_management_service\nnexent_core_models_pkg = types.ModuleType(\"nexent.core.models\")\nnexent_core_models_pkg.__path__ = []  # Mark as package for submodule imports\nsys.modules[\"nexent.core.models\"] = nexent_core_models_pkg\n\nopenai_long_ctx_mod = types.ModuleType(\n    \"nexent.core.models.openai_long_context_model\"\n)\n\n\nclass OpenAILongContextModel:\n    def __init__(self, *args, **kwargs):\n        pass\n\n\nopenai_long_ctx_mod.OpenAILongContextModel = OpenAILongContextModel\nsys.modules[\n    \"nexent.core.models.openai_long_context_model\"\n] = openai_long_ctx_mod\nnexent_core_models_pkg.OpenAILongContextModel = OpenAILongContextModel\n\nopenai_vlm_mod = types.ModuleType(\"nexent.core.models.openai_vlm\")\n\n\nclass OpenAIVLModel:\n    def __init__(self, *args, **kwargs):\n        pass\n\n\nopenai_vlm_mod.OpenAIVLModel = OpenAIVLModel\nsys.modules[\"nexent.core.models.openai_vlm\"] = openai_vlm_mod\nnexent_core_models_pkg.OpenAIVLModel = OpenAIVLModel\n\n# Create stub vector database modules to satisfy imports\nvector_db_module = types.ModuleType(\"nexent.vector_database\")\nvector_db_module.__path__ = []  # Mark as package\nvector_db_base_module = types.ModuleType(\"nexent.vector_database.base\")\n\nclass MockVectorDatabaseCore:\n    def __init__(self, *args, **kwargs):\n        pass\n\nvector_db_base_module.VectorDatabaseCore = MockVectorDatabaseCore\n\nvector_db_es_module = types.ModuleType(\"nexent.vector_database.elasticsearch_core\")\n\nclass MockElasticSearchCore:\n    def __init__(self, *args, **kwargs):\n        pass\n\nvector_db_es_module.ElasticSearchCore = MockElasticSearchCore\n\nsys.modules['nexent.vector_database'] = vector_db_module\nsys.modules['nexent.vector_database.base'] = vector_db_base_module\nsys.modules['nexent.vector_database.elasticsearch_core'] = vector_db_es_module\nsetattr(vector_db_module, \"base\", vector_db_base_module)\nsetattr(vector_db_module, \"elasticsearch_core\", vector_db_es_module)\n\nsys.modules['nexent.core.agents'] = MagicMock()\nsys.modules['nexent.core.agents.agent_model'] = MagicMock()\nsys.modules['nexent.storage.storage_client_factory'] = MagicMock()\n\n# Patch storage factory and MinIO config validation to avoid errors during initialization\n# These patches must be started before any imports that use MinioClient\nstorage_client_mock = MagicMock()\npatch('nexent.storage.storage_client_factory.create_storage_client_from_config', return_value=storage_client_mock).start()\npatch('nexent.storage.minio_config.MinIOStorageConfig.validate', lambda self: None).start()\npatch('backend.database.client.MinioClient', return_value=minio_client_mock).start()\n\n# Pre-inject a stubbed base_app to avoid import side effects\nbackend_pkg = types.ModuleType(\"backend\")\napps_pkg = types.ModuleType(\"backend.apps\")\nbase_app_mod = types.ModuleType(\"backend.apps.base_app\")\nbase_app_mod.app = MagicMock()\n\n# Install stubs into sys.modules\nsys.modules.setdefault(\"backend\", backend_pkg)\nsys.modules[\"backend.apps\"] = apps_pkg\nsys.modules[\"backend.apps.base_app\"] = base_app_mod\n\n# Also stub non-namespaced imports used by the application\napps_pkg_flat = types.ModuleType(\"apps\")\nbase_app_mod_flat = types.ModuleType(\"apps.runtime_app\")\nbase_app_mod_flat.app = MagicMock()\nsys.modules[\"apps\"] = apps_pkg_flat\nsys.modules[\"apps.runtime_app\"] = base_app_mod_flat\nsetattr(apps_pkg_flat, \"runtime_app\", base_app_mod_flat)\n\n# Wire package attributes\nsetattr(backend_pkg, \"apps\", apps_pkg)\nsetattr(apps_pkg, \"runtime_app\", base_app_mod)\n\n\nclass TestMainServiceModuleIntegration:\n    \"\"\"Integration tests for runtime_service module dependencies\"\"\"\n\n    @patch('runtime_service.configure_logging')\n    @patch('runtime_service.configure_elasticsearch_logging')\n    def test_logging_configuration_called_on_import(self, mock_configure_es, mock_configure_logging):\n        \"\"\"\n        Test that logging configuration functions are called when module is imported.\n\n        This test verifies that:\n        1. configure_logging is called with logging.INFO\n        2. configure_elasticsearch_logging is called\n        \"\"\"\n        # Note: This test checks that logging configuration happens during module import\n        # The mocks should have been called when the module was imported\n        # In a real scenario, you might need to reload the module to test this properly\n        pass  # The actual verification would depend on how the test runner handles imports\n\n\nif __name__ == '__main__':\n    pytest.main()\n"
  },
  {
    "path": "test/backend/test_summary_formatting.py",
    "content": "\"\"\"\nTest summary formatting and display\n\"\"\"\n\nimport pytest\nimport sys\nimport os\nfrom unittest.mock import MagicMock, patch\n\n# Mock consts module before patching backend.database.client to avoid ImportError\n# backend.database.client imports from consts.const, so we need to mock it first\nconsts_mock = MagicMock()\nconsts_const_mock = MagicMock()\n# Set required constants that backend.database.client might use\nconsts_const_mock.MINIO_ENDPOINT = \"http://localhost:9000\"\nconsts_const_mock.MINIO_ACCESS_KEY = \"test_access_key\"\nconsts_const_mock.MINIO_SECRET_KEY = \"test_secret_key\"\nconsts_const_mock.MINIO_REGION = \"us-east-1\"\nconsts_const_mock.MINIO_DEFAULT_BUCKET = \"test-bucket\"\nconsts_const_mock.POSTGRES_HOST = \"localhost\"\nconsts_const_mock.POSTGRES_USER = \"test_user\"\nconsts_const_mock.NEXENT_POSTGRES_PASSWORD = \"test_password\"\nconsts_const_mock.POSTGRES_DB = \"test_db\"\nconsts_const_mock.POSTGRES_PORT = 5432\nconsts_const_mock.LANGUAGE = {\"ZH\": \"zh\", \"EN\": \"en\"}\nconsts_const_mock.MESSAGE_ROLE = {\"USER\": \"user\", \"ASSISTANT\": \"assistant\", \"SYSTEM\": \"system\"}\nconsts_const_mock.THINK_START_PATTERN = \"<think>\"\nconsts_const_mock.THINK_END_PATTERN = \"</think>\"\nconsts_mock.const = consts_const_mock\n# Mock consts.error_code and consts.exceptions\nconsts_error_code_mock = MagicMock()\nconsts_error_code_mock.ErrorCode = MagicMock()\nconsts_exceptions_mock = MagicMock()\nconsts_exceptions_mock.AppException = Exception\nsys.modules['consts'] = consts_mock\nsys.modules['consts.const'] = consts_const_mock\nsys.modules['consts.error_code'] = consts_error_code_mock\nsys.modules['consts.exceptions'] = consts_exceptions_mock\n\n# Add backend to path before patching backend modules\nsys.path.insert(0, os.path.join(os.path.dirname(__file__), '..', '..', 'backend'))\n\n# Patch storage factory and MinIO config validation to avoid errors during initialization\n# These patches must be started before any imports that use MinioClient\nstorage_client_mock = MagicMock()\nminio_client_mock = MagicMock()\npatch('nexent.storage.storage_client_factory.create_storage_client_from_config', return_value=storage_client_mock).start()\npatch('nexent.storage.minio_config.MinIOStorageConfig.validate', lambda self: None).start()\npatch('backend.database.client.MinioClient', return_value=minio_client_mock).start()\n\nfrom utils.document_vector_utils import merge_cluster_summaries\n\n\nclass TestSummaryFormatting:\n    \"\"\"Test summary formatting functionality\"\"\"\n    \n    def test_merge_cluster_summaries_with_html_separators(self):\n        \"\"\"Test that cluster summaries are properly wrapped in HTML paragraph tags\"\"\"\n        cluster_summaries = {\n            0: \"这是第一个簇的总结，包含关于机器学习和人工智能的内容。\",\n            1: \"这是第二个簇的总结，包含关于深度学习和神经网络的内容。\",\n            2: \"这是第三个簇的总结，包含关于自然语言处理的内容。\"\n        }\n        \n        result = merge_cluster_summaries(cluster_summaries)\n        \n        # Should contain HTML paragraph tags\n        assert \"<p>\" in result\n        assert \"</p>\" in result\n        assert result.count(\"<p>\") == 3  # Should have 3 paragraph tags for 3 clusters\n        \n        # Should contain all cluster summaries\n        assert \"第一个簇的总结\" in result\n        assert \"第二个簇的总结\" in result\n        assert \"第三个簇的总结\" in result\n        \n        # Should be properly formatted with paragraph tags\n        assert \"<p>这是第一个簇的总结\" in result\n        assert \"<p>这是第二个簇的总结\" in result\n        assert \"<p>这是第三个簇的总结\" in result\n    \n    def test_merge_cluster_summaries_single_cluster(self):\n        \"\"\"Test merging with single cluster (wrapped in paragraph tag)\"\"\"\n        cluster_summaries = {\n            0: \"这是唯一的簇总结。\"\n        }\n        \n        result = merge_cluster_summaries(cluster_summaries)\n        \n        # Should be wrapped in paragraph tag\n        assert \"<p>\" in result\n        assert \"</p>\" in result\n        assert result == \"<p>这是唯一的簇总结。</p>\"\n    \n    def test_merge_cluster_summaries_empty(self):\n        \"\"\"Test merging with empty input\"\"\"\n        result = merge_cluster_summaries({})\n        assert result == \"\"\n    \n    def test_merge_cluster_summaries_order(self):\n        \"\"\"Test that clusters are merged in correct order\"\"\"\n        cluster_summaries = {\n            2: \"第三个簇\",\n            0: \"第一个簇\", \n            1: \"第二个簇\"\n        }\n        \n        result = merge_cluster_summaries(cluster_summaries)\n        \n        # Should be in cluster ID order\n        lines = result.split('\\n')\n        content_lines = [line for line in lines if line.strip() and '<p>' in line]\n        \n        assert \"第一个簇\" in content_lines[0]\n        assert \"第二个簇\" in content_lines[1] \n        assert \"第三个簇\" in content_lines[2]\n"
  },
  {
    "path": "test/backend/utils/__init__.py",
    "content": "\"\"\"\nUnit tests for utils modules\n\"\"\"\n\n# Backend test package\n\nimport os\nimport sys\n\n# Dynamically determine the backend path\ncurrent_dir = os.path.dirname(os.path.abspath(__file__))\nbackend_dir = os.path.abspath(os.path.join(current_dir, \"../../../backend\"))\nsys.path.append(backend_dir)\n"
  },
  {
    "path": "test/backend/utils/test_auth_utils.py",
    "content": "from backend.consts.exceptions import UnauthorizedError, SignatureValidationError, LimitExceededError\nimport time\nimport sys\nimport os\nfrom pathlib import Path\nfrom unittest.mock import MagicMock, patch\nimport types\nimport pytest\n\n# Ensure repository root and sdk/ are importable before any patch() that resolves modules.\n# Pytest rootdir is set to test/, so we must extend sys.path explicitly here.\n_REPO_ROOT = Path(__file__).resolve().parents[3]\nsys.path.insert(0, str(_REPO_ROOT))\nsys.path.insert(0, str(_REPO_ROOT / \"sdk\"))\n\n# Patch environment variables before any imports that might use them\n# Environment variables are now configured in conftest.py\n\n# ---------------------------------------------------------------------------\n# Pre-mock heavy dependencies BEFORE importing the module under test.\n# This avoids side-effects such as Minio/S3 network calls that are triggered\n# during import time of database.client when auth_utils is imported.\n# ---------------------------------------------------------------------------\n\n# Stub `nexent.storage.*` modules early so unittest.mock.patch does not import the real\n# SDK package (which may pull optional heavy dependencies during __init__).\n_nexent_mod = types.ModuleType(\"nexent\")\n_nexent_storage_mod = types.ModuleType(\"nexent.storage\")\n_nexent_storage_factory_mod = types.ModuleType(\"nexent.storage.storage_client_factory\")\n_nexent_minio_config_mod = types.ModuleType(\"nexent.storage.minio_config\")\n\n_nexent_storage_factory_mod.create_storage_client_from_config = lambda *args, **kwargs: None\n\nclass _MinIOStorageConfig:\n    def validate(self):\n        return None\n\n_nexent_minio_config_mod.MinIOStorageConfig = _MinIOStorageConfig\n\n_nexent_mod.storage = _nexent_storage_mod\n_nexent_storage_mod.storage_client_factory = _nexent_storage_factory_mod\n_nexent_storage_mod.minio_config = _nexent_minio_config_mod\n\nsys.modules[\"nexent\"] = _nexent_mod\nsys.modules[\"nexent.storage\"] = _nexent_storage_mod\nsys.modules[\"nexent.storage.storage_client_factory\"] = _nexent_storage_factory_mod\nsys.modules[\"nexent.storage.minio_config\"] = _nexent_minio_config_mod\n\n# Stub `backend.database.client` early so patch() can resolve the target even when\n# backend/ and backend/database/ are namespace packages (no __init__.py).\n_backend_mod = sys.modules.get(\"backend\") or types.ModuleType(\"backend\")\n_backend_database_mod = types.ModuleType(\"backend.database\")\n_backend_database_client_mod = types.ModuleType(\"backend.database.client\")\n_backend_database_client_mod.MinioClient = MagicMock()\n\n_backend_mod.database = _backend_database_mod\n_backend_database_mod.client = _backend_database_client_mod\n\nsys.modules[\"backend\"] = _backend_mod\nsys.modules[\"backend.database\"] = _backend_database_mod\nsys.modules[\"backend.database.client\"] = _backend_database_client_mod\n\n# Patch storage factory and MinIO config validation to avoid errors during initialization\n# These patches must be started before any imports that use MinioClient\nstorage_client_mock = MagicMock()\nminio_client_mock = MagicMock()\npatch('nexent.storage.storage_client_factory.create_storage_client_from_config', return_value=storage_client_mock).start()\npatch('nexent.storage.minio_config.MinIOStorageConfig.validate', lambda self: None).start()\npatch('backend.database.client.MinioClient', return_value=minio_client_mock).start()\n\n# Stub out the database package hierarchy expected by auth_utils\nsys.modules['database'] = MagicMock()\n\n# Mock MinioClient class to prevent initialization errors\nmock_minio_class = MagicMock()\nmock_minio_class.return_value = MagicMock()\n\n# Provide a lightweight module for database.client with the attributes used\n# by auth_utils so that any direct attribute access works as expected.\ndb_client_stub = types.ModuleType(\"database.client\")\ndb_client_stub.MinioClient = mock_minio_class\ndb_client_stub.get_db_session = MagicMock()\ndb_client_stub.as_dict = MagicMock()\n\n# Mock the global minio_client instance\nmock_minio_instance = MagicMock()\ndb_client_stub.minio_client = mock_minio_instance\ndb_client_stub.db_client = MagicMock()\n\nsys.modules['database.client'] = db_client_stub\n\n# Stub database.user_tenant_db to avoid real DB interactions\nsys.modules['database.user_tenant_db'] = MagicMock(\n    get_user_tenant_by_user_id=MagicMock(return_value=None))\n\n# Stub database.token_db to avoid real DB interactions (used by auth_utils)\nsys.modules['database.token_db'] = MagicMock(\n    get_token_by_access_key=MagicMock(return_value=None))\n\n# Pre-mock nexent core dependency pulled by consts.model\nsys.modules['consts'] = MagicMock()\n\n# Mock consts.const but provide real LANGUAGE values for tests\nconsts_const_mock = MagicMock()\nconsts_const_mock.LANGUAGE = {\"ZH\": \"zh\", \"EN\": \"en\"}\nconsts_const_mock.DEFAULT_USER_ID = \"user_id\"\nconsts_const_mock.DEFAULT_TENANT_ID = \"tenant_id\"\nconsts_const_mock.IS_SPEED_MODE = False\nsys.modules['consts.const'] = consts_const_mock\n\n# Mock exceptions module with real exception classes\nconsts_exceptions_mock = MagicMock()\nconsts_exceptions_mock.UnauthorizedError = UnauthorizedError\nconsts_exceptions_mock.SignatureValidationError = SignatureValidationError\nconsts_exceptions_mock.LimitExceededError = LimitExceededError\nsys.modules['consts.exceptions'] = consts_exceptions_mock\nsys.modules['nexent'] = MagicMock()\nsys.modules['nexent.core'] = MagicMock()\nsys.modules['nexent.core.agents'] = MagicMock()\nsys.modules['nexent.core.agents.agent_model'] = MagicMock()\n\n# Mock supabase module\nsupabase_mock = MagicMock()\nsupabase_mock.create_client = MagicMock()\nsys.modules['supabase'] = supabase_mock\n\nsys.modules['boto3'] = MagicMock()\nsys.modules['psycopg2'] = MagicMock()\nsys.modules['psycopg2.extras'] = MagicMock()\nsys.modules['botocore'] = MagicMock()\nsys.modules['botocore.client'] = MagicMock()\nsys.modules['botocore.exceptions'] = MagicMock()\n\n# Mock additional dependencies that might be imported\nsys.modules['sqlalchemy'] = MagicMock()\nsys.modules['sqlalchemy.orm'] = MagicMock()\n\n# Now import the module under test\nfrom backend.utils import auth_utils as au\n\n# Ensure exceptions in module under test are real exception classes, not mocks\nau.UnauthorizedError = UnauthorizedError\nau.SignatureValidationError = SignatureValidationError\n\n# Ensure constants in module under test are real values, not mocks\nau.LANGUAGE = {\"ZH\": \"zh\", \"EN\": \"en\"}\nau.DEFAULT_USER_ID = \"user_id\"\nau.DEFAULT_TENANT_ID = \"tenant_id\"\n\n\ndef test_calculate_hmac_signature_stability():\n    sig1 = au.calculate_hmac_signature(\n        \"secret\", \"access\", \"1234567890\", \"body\")\n    sig2 = au.calculate_hmac_signature(\n        \"secret\", \"access\", \"1234567890\", \"body\")\n    assert sig1 == sig2\n    assert len(sig1) == 64  # sha256 hex\n\n\ndef test_validate_timestamp_window(monkeypatch):\n    now = int(time.time())\n    assert au.validate_timestamp(str(now))\n    # Too old/new should fail\n    old = now - (au.TIMESTAMP_VALIDITY_WINDOW + 10)\n    assert not au.validate_timestamp(str(old))\n\n\ndef test_extract_aksk_headers_success():\n    access_key, ts, sig = au.extract_aksk_headers({\n        \"X-Access-Key\": \"ak\",\n        \"X-Timestamp\": \"123\",\n        \"X-Signature\": \"sig\",\n    })\n    assert access_key == \"ak\" and ts == \"123\" and sig == \"sig\"\n\n\ndef test_extract_aksk_headers_missing():\n    with pytest.raises(UnauthorizedError):\n        au.extract_aksk_headers({})\n\n\ndef test_verify_aksk_signature_success(monkeypatch):\n    # Arrange matching ak and computed signature\n    monkeypatch.setattr(au, \"get_aksk_config\", lambda tenant_id: (\"ak\", \"sk\"))\n    ts = str(int(time.time()))\n    expected = au.calculate_hmac_signature(\"sk\", \"ak\", ts, \"body\")\n    ok = au.verify_aksk_signature(\"ak\", ts, expected, \"body\")\n    assert ok is True\n\n\ndef test_verify_aksk_signature_invalid(monkeypatch):\n    monkeypatch.setattr(au, \"get_aksk_config\", lambda tenant_id: (\"ak\", \"sk\"))\n    ts = str(int(time.time()))\n    assert au.verify_aksk_signature(\"wrong\", ts, \"sig\", \"\") is False\n\n\ndef test_validate_aksk_authentication(monkeypatch):\n    monkeypatch.setattr(au, \"verify_aksk_signature\", lambda a, b, c, d: True)\n    ok = au.validate_aksk_authentication({\n        \"X-Access-Key\": \"ak\",\n        \"X-Timestamp\": str(int(time.time())),\n        \"X-Signature\": \"sig\",\n    }, \"body\")\n    assert ok is True\n\n\ndef test_validate_aksk_authentication_invalid(monkeypatch):\n    monkeypatch.setattr(au, \"verify_aksk_signature\", lambda a, b, c, d: False)\n    with pytest.raises(SignatureValidationError):\n        au.validate_aksk_authentication({\n            \"X-Access-Key\": \"ak\",\n            \"X-Timestamp\": str(int(time.time())),\n            \"X-Signature\": \"sig\",\n        }, \"body\")\n\n\ndef test_generate_test_jwt_and_get_expiry_seconds(monkeypatch):\n    token = au.generate_test_jwt(\"user-1\", expires_in=1234)\n    # ensure not in speed mode and no DEBUG_JWT_EXPIRE_SECONDS was set for this test\n    monkeypatch.setattr(au, \"IS_SPEED_MODE\", False)\n    monkeypatch.setattr(au, \"DEBUG_JWT_EXPIRE_SECONDS\", 0)\n    seconds = au.get_jwt_expiry_seconds(token)\n    assert seconds == 1234\n\n\ndef test_calculate_expires_at_speed_mode(monkeypatch):\n    monkeypatch.setattr(au, \"IS_SPEED_MODE\", True)\n    exp = au.calculate_expires_at(\"irrelevant\")\n    # far future (> 1 year)\n    assert exp > int(time.time()) + 3600 * 24 * 365\n\n\ndef test_extract_user_id_from_jwt_token(monkeypatch):\n    monkeypatch.setattr(au, \"IS_SPEED_MODE\", False)\n    monkeypatch.setattr(au, \"SUPABASE_JWT_SECRET\", au.MOCK_JWT_SECRET_KEY)\n    token = au.generate_test_jwt(\"user-xyz\", expires_in=3600)\n    uid = au._extract_user_id_from_jwt_token(\"Bearer \" + token)\n    assert uid == \"user-xyz\"\n\n\ndef test_extract_user_id_no_jwt_secret_raises(monkeypatch):\n    \"\"\"Test that missing SUPABASE_JWT_SECRET raises UnauthorizedError\"\"\"\n    monkeypatch.setattr(au, \"IS_SPEED_MODE\", False)\n    monkeypatch.setattr(au, \"SUPABASE_JWT_SECRET\", \"\")\n    token = au.generate_test_jwt(\"user-xyz\", expires_in=3600)\n\n    with pytest.raises(UnauthorizedError, match=\"JWT verification is not configured\"):\n        au._extract_user_id_from_jwt_token(\"Bearer \" + token)\n\n\ndef test_extract_user_id_invalid_signature_raises(monkeypatch):\n    \"\"\"Test that token signed with wrong secret raises UnauthorizedError\"\"\"\n    monkeypatch.setattr(au, \"IS_SPEED_MODE\", False)\n    monkeypatch.setattr(au, \"SUPABASE_JWT_SECRET\", \"wrong-secret\")\n    token = au.generate_test_jwt(\"user-xyz\", expires_in=3600)\n\n    with pytest.raises(UnauthorizedError, match=\"Invalid or expired\"):\n        au._extract_user_id_from_jwt_token(\"Bearer \" + token)\n\n\ndef test_extract_user_id_expired_token_raises(monkeypatch):\n    \"\"\"Test that expired token raises UnauthorizedError (ExpiredSignatureError path)\"\"\"\n    monkeypatch.setattr(au, \"IS_SPEED_MODE\", False)\n    monkeypatch.setattr(au, \"SUPABASE_JWT_SECRET\", au.MOCK_JWT_SECRET_KEY)\n    # Token expired 1 hour ago\n    token = au.generate_test_jwt(\"user-xyz\", expires_in=-3600)\n\n    with pytest.raises(UnauthorizedError, match=\"Token has expired\"):\n        au._extract_user_id_from_jwt_token(\"Bearer \" + token)\n\n\ndef test_extract_user_id_malformed_token_raises(monkeypatch):\n    \"\"\"Test that malformed JWT raises UnauthorizedError (InvalidTokenError path)\"\"\"\n    monkeypatch.setattr(au, \"IS_SPEED_MODE\", False)\n    monkeypatch.setattr(au, \"SUPABASE_JWT_SECRET\", au.MOCK_JWT_SECRET_KEY)\n\n    with pytest.raises(UnauthorizedError, match=\"Invalid or expired\"):\n        au._extract_user_id_from_jwt_token(\"Bearer invalid.jwt.here\")\n\n\ndef test_extract_user_id_unauthorized_error_re_raised(monkeypatch):\n    \"\"\"Test that UnauthorizedError from inner code is re-raised without wrapping\"\"\"\n    monkeypatch.setattr(au, \"SUPABASE_JWT_SECRET\", \"any-secret\")\n\n    def mock_decode_raises_unauthorized(*args, **kwargs):\n        raise UnauthorizedError(\"Inner auth error\")\n\n    # Patch only jwt.decode to preserve real exception classes for except clauses\n    monkeypatch.setattr(au.jwt, \"decode\", mock_decode_raises_unauthorized)\n\n    with pytest.raises(UnauthorizedError, match=\"Inner auth error\"):\n        au._extract_user_id_from_jwt_token(\"Bearer fake-token\")\n\n\ndef test_extract_user_id_generic_exception_raises(monkeypatch):\n    \"\"\"Test that generic Exception during decode raises UnauthorizedError\"\"\"\n    monkeypatch.setattr(au, \"SUPABASE_JWT_SECRET\", au.MOCK_JWT_SECRET_KEY)\n\n    def mock_decode_raises_value_error(*args, **kwargs):\n        raise ValueError(\"Unexpected decode error\")\n\n    # Patch only jwt.decode to preserve real exception classes for except clauses\n    monkeypatch.setattr(au.jwt, \"decode\", mock_decode_raises_value_error)\n\n    with pytest.raises(UnauthorizedError, match=\"Invalid or expired authentication token\"):\n        au._extract_user_id_from_jwt_token(\"Bearer any-token\")\n\n\ndef test_get_current_user_id_speed_mode(monkeypatch):\n    monkeypatch.setattr(au, \"IS_SPEED_MODE\", True)\n    uid, tid = au.get_current_user_id(\"Bearer anything\")\n    assert uid == au.DEFAULT_USER_ID and tid == au.DEFAULT_TENANT_ID\n\n\ndef test_get_current_user_id_with_mapping(monkeypatch):\n    monkeypatch.setattr(au, \"IS_SPEED_MODE\", False)\n    monkeypatch.setattr(au, \"SUPABASE_JWT_SECRET\", au.MOCK_JWT_SECRET_KEY)\n    token = au.generate_test_jwt(\"user-a\", 1000)\n    # user->tenant mapping\n    monkeypatch.setattr(au, \"get_user_tenant_by_user_id\",\n                        lambda u: {\"tenant_id\": \"tenant-a\"})\n    uid, tid = au.get_current_user_id(token)\n    assert uid == \"user-a\" and tid == \"tenant-a\"\n\n\ndef test_get_user_language_from_cookie():\n    class Req:\n        cookies = {\"NEXT_LOCALE\": \"en\"}\n\n    assert au.get_user_language(Req()) == \"en\"\n    assert au.get_user_language(None) == \"zh\"\n\n\ndef test_get_supabase_client_success(monkeypatch):\n    \"\"\"Test successful Supabase client creation\"\"\"\n    mock_client = MagicMock()\n    monkeypatch.setattr(au, \"create_client\", lambda url, key: mock_client)\n    monkeypatch.setattr(au, \"SUPABASE_URL\", \"https://test.supabase.co\")\n    monkeypatch.setattr(au, \"SUPABASE_KEY\", \"test_key\")\n\n    result = au.get_supabase_client()\n    assert result == mock_client\n\n\ndef test_get_supabase_client_failure(monkeypatch):\n    \"\"\"Test Supabase client creation failure\"\"\"\n    def mock_create_client(url, key):\n        raise Exception(\"Connection failed\")\n\n    monkeypatch.setattr(au, \"create_client\", mock_create_client)\n    monkeypatch.setattr(au, \"SUPABASE_URL\", \"https://test.supabase.co\")\n    monkeypatch.setattr(au, \"SUPABASE_KEY\", \"test_key\")\n\n    result = au.get_supabase_client()\n    assert result is None\n\n\ndef test_get_supabase_admin_client_success(monkeypatch):\n    \"\"\"Test successful Supabase admin client creation using SERVICE_ROLE_KEY\"\"\"\n    mock_client = MagicMock()\n    monkeypatch.setattr(au, \"create_client\", lambda url, key: mock_client)\n    monkeypatch.setattr(au, \"SUPABASE_URL\", \"https://test.supabase.co\")\n    monkeypatch.setattr(au, \"SERVICE_ROLE_KEY\", \"svc_key\")\n\n    result = au.get_supabase_admin_client()\n    assert result == mock_client\n\n\ndef test_get_supabase_admin_client_failure(monkeypatch):\n    \"\"\"Test Supabase admin client creation failure\"\"\"\n    def mock_create_client(url, key):\n        raise Exception(\"Connection failed\")\n\n    monkeypatch.setattr(au, \"create_client\", mock_create_client)\n    monkeypatch.setattr(au, \"SUPABASE_URL\", \"https://test.supabase.co\")\n    monkeypatch.setattr(au, \"SERVICE_ROLE_KEY\", \"svc_key\")\n\n    result = au.get_supabase_admin_client()\n    assert result is None\n\n\ndef test_validate_aksk_authentication_unexpected_error(monkeypatch):\n    \"\"\"Test unexpected error during AK/SK authentication\"\"\"\n    def mock_verify_aksk_signature(*args):\n        raise Exception(\"Unexpected error\")\n\n    monkeypatch.setattr(au, \"verify_aksk_signature\",\n                        mock_verify_aksk_signature)\n\n    with pytest.raises(UnauthorizedError, match=\"Authentication failed\"):\n        au.validate_aksk_authentication({\n            \"X-Access-Key\": \"ak\",\n            \"X-Timestamp\": str(int(time.time())),\n            \"X-Signature\": \"sig\",\n        }, \"body\")\n\n\ndef test_get_jwt_expiry_seconds_exception(monkeypatch):\n    \"\"\"Test JWT expiry seconds calculation with exception\"\"\"\n    monkeypatch.setattr(au, \"IS_SPEED_MODE\", False)\n    monkeypatch.setattr(au, \"DEBUG_JWT_EXPIRE_SECONDS\", 0)\n\n    # Mock jwt.decode to raise exception\n    monkeypatch.setattr(au, \"jwt\", MagicMock())\n    au.jwt.decode.side_effect = Exception(\"JWT decode failed\")\n\n    result = au.get_jwt_expiry_seconds(\"invalid_token\")\n    assert result == 3600  # Should return default value\n\n\ndef test_get_current_user_id_no_tenant_mapping(monkeypatch):\n    \"\"\"Test get_current_user_id when no tenant mapping found\"\"\"\n    monkeypatch.setattr(au, \"IS_SPEED_MODE\", False)\n    monkeypatch.setattr(au, \"SUPABASE_JWT_SECRET\", au.MOCK_JWT_SECRET_KEY)\n    token = au.generate_test_jwt(\"user-a\", 1000)\n\n    # Mock get_user_tenant_by_user_id to return None\n    monkeypatch.setattr(au, \"get_user_tenant_by_user_id\", lambda u: None)\n\n    uid, tid = au.get_current_user_id(token)\n    assert uid == \"user-a\" and tid == au.DEFAULT_TENANT_ID\n\n\ndef test_get_current_user_id_exception(monkeypatch):\n    \"\"\"Test get_current_user_id with exception\"\"\"\n    monkeypatch.setattr(au, \"IS_SPEED_MODE\", False)\n\n    # Mock _extract_user_id_from_jwt_token to raise exception\n    monkeypatch.setattr(au, \"_extract_user_id_from_jwt_token\",\n                        lambda token: (_ for _ in ()).throw(Exception(\"Token parsing failed\")))\n\n    with pytest.raises(UnauthorizedError, match=\"Invalid or expired authentication token\"):\n        au.get_current_user_id(\"Bearer invalid_token\")\n\n\n# ---------------------------------------------------------------------------\n# Bearer Token (API Key) Authentication Tests\n# ---------------------------------------------------------------------------\n\nclass TestValidateBearerToken:\n    \"\"\"Tests for validate_bearer_token function.\"\"\"\n\n    def test_validate_bearer_token_success(self, monkeypatch):\n        \"\"\"Test successful Bearer token validation.\"\"\"\n        mock_token_info = {\n            \"token_id\": 1,\n            \"access_key\": \"nexent-abc123\",\n            \"user_id\": \"user123\",\n            \"delete_flag\": \"N\"\n        }\n        monkeypatch.setattr(au, \"get_token_by_access_key\", lambda key: mock_token_info)\n\n        is_valid, token_info = au.validate_bearer_token(\"Bearer nexent-abc123\")\n\n        assert is_valid is True\n        assert token_info is not None\n        assert token_info[\"user_id\"] == \"user123\"\n\n    def test_validate_bearer_token_without_bearer_prefix(self, monkeypatch):\n        \"\"\"Test Bearer token validation without 'Bearer ' prefix.\"\"\"\n        mock_token_info = {\n            \"token_id\": 1,\n            \"access_key\": \"nexent-abc123\",\n            \"user_id\": \"user123\",\n            \"delete_flag\": \"N\"\n        }\n        monkeypatch.setattr(au, \"get_token_by_access_key\", lambda key: mock_token_info)\n\n        is_valid, token_info = au.validate_bearer_token(\"nexent-abc123\")\n\n        assert is_valid is True\n        assert token_info is not None\n\n    def test_validate_bearer_token_empty_authorization(self):\n        \"\"\"Test Bearer token validation with empty authorization header.\"\"\"\n        is_valid, token_info = au.validate_bearer_token(None)\n\n        assert is_valid is False\n        assert token_info is None\n\n    def test_validate_bearer_token_empty_string(self):\n        \"\"\"Test Bearer token validation with empty string.\"\"\"\n        is_valid, token_info = au.validate_bearer_token(\"\")\n\n        assert is_valid is False\n        assert token_info is None\n\n    def test_validate_bearer_token_empty_token(self):\n        \"\"\"Test Bearer token validation with 'Bearer ' only.\"\"\"\n        is_valid, token_info = au.validate_bearer_token(\"Bearer \")\n\n        assert is_valid is False\n        assert token_info is None\n\n    def test_validate_bearer_token_invalid_token(self, monkeypatch):\n        \"\"\"Test Bearer token validation with non-existent token.\"\"\"\n        monkeypatch.setattr(au, \"get_token_by_access_key\", lambda key: None)\n\n        is_valid, token_info = au.validate_bearer_token(\"Bearer nexent-nonexistent\")\n\n        assert is_valid is False\n        assert token_info is None\n\n    def test_validate_bearer_token_deleted(self, monkeypatch):\n        \"\"\"Test Bearer token validation with deleted token.\"\"\"\n        mock_token_info = {\n            \"token_id\": 1,\n            \"access_key\": \"nexent-deleted\",\n            \"user_id\": \"user123\",\n            \"delete_flag\": \"Y\"\n        }\n        monkeypatch.setattr(au, \"get_token_by_access_key\", lambda key: mock_token_info)\n\n        is_valid, token_info = au.validate_bearer_token(\"Bearer nexent-deleted\")\n\n        assert is_valid is False\n        assert token_info is None\n\n    def test_validate_bearer_token_exception(self, monkeypatch):\n        \"\"\"Test Bearer token validation with exception.\"\"\"\n        def mock_get_token_raises(key):\n            raise Exception(\"Database error\")\n\n        monkeypatch.setattr(au, \"get_token_by_access_key\", mock_get_token_raises)\n\n        is_valid, token_info = au.validate_bearer_token(\"Bearer nexent-error\")\n\n        assert is_valid is False\n        assert token_info is None\n\n\nclass TestGetUserAndTenantByAccessKey:\n    \"\"\"Tests for get_user_and_tenant_by_access_key function.\"\"\"\n\n    def test_get_user_and_tenant_success(self, monkeypatch):\n        \"\"\"Test successful user and tenant retrieval.\"\"\"\n        mock_token_info = {\n            \"token_id\": 1,\n            \"access_key\": \"nexent-abc123\",\n            \"user_id\": \"user123\",\n            \"delete_flag\": \"N\"\n        }\n        mock_user_tenant = {\"tenant_id\": \"tenant456\"}\n\n        monkeypatch.setattr(au, \"get_token_by_access_key\", lambda key: mock_token_info)\n        monkeypatch.setattr(au, \"get_user_tenant_by_user_id\", lambda uid: mock_user_tenant)\n\n        result = au.get_user_and_tenant_by_access_key(\"nexent-abc123\")\n\n        assert result[\"user_id\"] == \"user123\"\n        assert result[\"tenant_id\"] == \"tenant456\"\n        assert result[\"token_id\"] == 1\n\n    def test_get_user_and_tenant_default_tenant(self, monkeypatch):\n        \"\"\"Test that DEFAULT_TENANT_ID is used when no tenant mapping exists.\"\"\"\n        mock_token_info = {\n            \"token_id\": 1,\n            \"access_key\": \"nexent-abc123\",\n            \"user_id\": \"user123\",\n            \"delete_flag\": \"N\"\n        }\n\n        monkeypatch.setattr(au, \"get_token_by_access_key\", lambda key: mock_token_info)\n        monkeypatch.setattr(au, \"get_user_tenant_by_user_id\", lambda uid: None)\n\n        result = au.get_user_and_tenant_by_access_key(\"nexent-abc123\")\n\n        assert result[\"user_id\"] == \"user123\"\n        assert result[\"tenant_id\"] == au.DEFAULT_TENANT_ID\n        assert result[\"token_id\"] == 1\n\n    def test_get_user_and_tenant_empty_tenant_id(self, monkeypatch):\n        \"\"\"Test that DEFAULT_TENANT_ID is used when tenant_id is empty.\"\"\"\n        mock_token_info = {\n            \"token_id\": 1,\n            \"access_key\": \"nexent-abc123\",\n            \"user_id\": \"user123\",\n            \"delete_flag\": \"N\"\n        }\n        mock_user_tenant = {\"tenant_id\": \"\"}\n\n        monkeypatch.setattr(au, \"get_token_by_access_key\", lambda key: mock_token_info)\n        monkeypatch.setattr(au, \"get_user_tenant_by_user_id\", lambda uid: mock_user_tenant)\n\n        result = au.get_user_and_tenant_by_access_key(\"nexent-abc123\")\n\n        assert result[\"tenant_id\"] == au.DEFAULT_TENANT_ID\n\n    def test_get_user_and_tenant_empty_access_key(self):\n        \"\"\"Test with empty access key.\"\"\"\n        with pytest.raises(UnauthorizedError, match=\"Invalid access key\"):\n            au.get_user_and_tenant_by_access_key(\"\")\n\n    def test_get_user_and_tenant_none_access_key(self):\n        \"\"\"Test with None access key.\"\"\"\n        with pytest.raises(UnauthorizedError, match=\"Invalid access key\"):\n            au.get_user_and_tenant_by_access_key(None)\n\n    def test_get_user_and_tenant_token_not_found(self, monkeypatch):\n        \"\"\"Test when token is not found.\"\"\"\n        monkeypatch.setattr(au, \"get_token_by_access_key\", lambda key: None)\n\n        with pytest.raises(UnauthorizedError, match=\"Invalid or inactive access key\"):\n            au.get_user_and_tenant_by_access_key(\"nexent-nonexistent\")\n\n    def test_get_user_and_tenant_deleted_token(self, monkeypatch):\n        \"\"\"Test when token is deleted.\"\"\"\n        mock_token_info = {\n            \"token_id\": 1,\n            \"access_key\": \"nexent-deleted\",\n            \"user_id\": \"user123\",\n            \"delete_flag\": \"Y\"\n        }\n        monkeypatch.setattr(au, \"get_token_by_access_key\", lambda key: mock_token_info)\n\n        with pytest.raises(UnauthorizedError, match=\"Invalid or inactive access key\"):\n            au.get_user_and_tenant_by_access_key(\"nexent-deleted\")\n\n    def test_get_user_and_tenant_no_user_id(self, monkeypatch):\n        \"\"\"Test when token has no user_id.\"\"\"\n        mock_token_info = {\n            \"token_id\": 1,\n            \"access_key\": \"nexent-abc123\",\n            \"user_id\": None,\n            \"delete_flag\": \"N\"\n        }\n        monkeypatch.setattr(au, \"get_token_by_access_key\", lambda key: mock_token_info)\n\n        with pytest.raises(UnauthorizedError, match=\"No user associated with this access key\"):\n            au.get_user_and_tenant_by_access_key(\"nexent-abc123\")\n"
  },
  {
    "path": "test/backend/utils/test_config_utils.py",
    "content": "import pytest\nimport json\nimport sys\nfrom unittest.mock import patch\n\n# Setup common mocks\nfrom test.common.test_mocks import setup_common_mocks, patch_minio_client_initialization\n\n# Initialize common mocks\nmocks = setup_common_mocks()\n\n# Patch storage factory before importing\nwith patch_minio_client_initialization():\n    from backend.utils.config_utils import (\n        safe_value,\n        safe_list,\n        get_env_key,\n        get_model_name_from_config,\n        TenantConfigManager\n    )\n\n\nclass TestSafeValue:\n    \"\"\"Test safe_value function\"\"\"\n\n    def test_safe_value_with_none(self):\n        \"\"\"Test with None value\"\"\"\n        assert safe_value(None) == \"\"\n\n    def test_safe_value_with_string(self):\n        \"\"\"Test with string value\"\"\"\n        assert safe_value(\"test\") == \"test\"\n\n\nclass TestSafeList:\n    \"\"\"Test safe_list function\"\"\"\n\n    def test_safe_list_with_none(self):\n        \"\"\"Test with None value\"\"\"\n        assert safe_list(None) == \"[]\"\n\n    def test_safe_list_with_list(self):\n        \"\"\"Test with list value\"\"\"\n        test_list = [1, 2, 3]\n        result = safe_list(test_list)\n        assert result == \"[1, 2, 3]\"\n        assert json.loads(result) == test_list\n\n\nclass TestGetEnvKey:\n    \"\"\"Test get_env_key function\"\"\"\n\n    def test_get_env_key_camel_case(self):\n        \"\"\"Test camelCase to SNAKE_CASE conversion\"\"\"\n        assert get_env_key(\"camelCase\") == \"CAMEL_CASE\"\n\n    def test_get_env_key_with_numbers(self):\n        \"\"\"Test conversion with numbers\"\"\"\n        assert get_env_key(\"user123Name\") == \"USER123_NAME\"\n\n\nclass TestGetModelNameFromConfig:\n    \"\"\"Test get_model_name_from_config function\"\"\"\n\n    def test_get_model_name_from_config_with_model_repo(self):\n        \"\"\"Test with model repository\"\"\"\n        config = {\"model_repo\": \"openai\", \"model_name\": \"gpt-4\"}\n        assert get_model_name_from_config(config) == \"openai/gpt-4\"\n\n    def test_get_model_name_from_config_without_model_repo(self):\n        \"\"\"Test without model repository\"\"\"\n        config = {\"model_repo\": \"\", \"model_name\": \"gpt-4\"}\n        assert get_model_name_from_config(config) == \"gpt-4\"\n\n\nclass TestTenantConfigManager:\n    \"\"\"Test TenantConfigManager class\"\"\"\n\n    @pytest.fixture\n    def config_manager(self):\n        \"\"\"Create config manager instance\"\"\"\n        return TenantConfigManager()\n\n    @pytest.fixture\n    def mock_configs(self):\n        \"\"\"Mock config data\"\"\"\n        return [\n            {\n                \"config_key\": \"model_config\",\n                \"config_value\": \"123\",\n                \"tenant_config_id\": 1\n            },\n            {\n                \"config_key\": \"app_setting\",\n                \"config_value\": \"test_value\",\n                \"tenant_config_id\": 2\n            }\n        ]\n\n    def test_init(self, config_manager):\n        \"\"\"Test initialization\"\"\"\n        # Manager no longer exposes in-process caches; just ensure instance constructs\n        assert isinstance(config_manager, TenantConfigManager)\n\n    def test_get_cache_key(self, config_manager):\n        \"\"\"Test cache key generation\"\"\"\n        # _get_cache_key removed with cache removal; ensure attribute not present\n        assert not hasattr(config_manager, \"_get_cache_key\")\n\n    @patch('backend.utils.config_utils.get_all_configs_by_tenant_id')\n    def test_load_config_success(self, mock_get_configs, config_manager, mock_configs):\n        \"\"\"Test successful config loading\"\"\"\n        mock_get_configs.return_value = mock_configs\n\n        result = config_manager.load_config(\"tenant1\")\n\n        assert result == {\n            \"model_config\": \"123\",\n            \"app_setting\": \"test_value\"\n        }\n        # No in-process cache expected\n        assert not hasattr(config_manager, \"config_cache\")\n\n    @patch('backend.utils.config_utils.get_all_configs_by_tenant_id')\n    def test_load_config_no_configs(self, mock_get_configs, config_manager):\n        \"\"\"Test loading with no configs\"\"\"\n        mock_get_configs.return_value = []\n\n        result = config_manager.load_config(\"tenant1\")\n\n        assert result == {}\n        assert not hasattr(config_manager, \"config_cache\")\n\n    def test_load_config_invalid_tenant_id(self, config_manager):\n        \"\"\"Test loading with invalid tenant ID\"\"\"\n        result = config_manager.load_config(\"\")\n        assert result == {}\n\n    @patch('backend.utils.config_utils.get_all_configs_by_tenant_id')\n    def test_load_config_cache_hit(self, mock_get_configs, config_manager, mock_configs):\n        \"\"\"Test cache hit\"\"\"\n        mock_get_configs.return_value = mock_configs\n\n        # First load\n        config_manager.load_config(\"tenant1\")\n        # Second load should NOT use an in-process cache (DB called again)\n        result = config_manager.load_config(\"tenant1\")\n\n        # Verify two database queries (no cache)\n        assert mock_get_configs.call_count == 2\n        assert result == {\n            \"model_config\": \"123\",\n            \"app_setting\": \"test_value\"\n        }\n\n    @patch('backend.utils.config_utils.get_all_configs_by_tenant_id')\n    def test_load_config_force_reload(self, mock_get_configs, config_manager, mock_configs):\n        \"\"\"Test force reload\"\"\"\n        mock_get_configs.return_value = mock_configs\n\n        # First load\n        config_manager.load_config(\"tenant1\")\n        # Force reload\n        result = config_manager.load_config(\"tenant1\", force_reload=True)\n\n        # Verify two database queries\n        assert mock_get_configs.call_count == 2\n        assert result == {\n            \"model_config\": \"123\",\n            \"app_setting\": \"test_value\"\n        }\n\n    @patch('backend.utils.config_utils.get_model_by_model_id')\n    @patch('backend.utils.config_utils.get_all_configs_by_tenant_id')\n    def test_get_model_config_success(self, mock_get_configs, mock_get_model, config_manager):\n        \"\"\"Test successful model config retrieval\"\"\"\n        mock_get_configs.return_value = [\n            {\"config_key\": \"model_config\", \"config_value\": \"123\"}]\n        mock_get_model.return_value = {\n            \"model_id\": 123, \"model_name\": \"test_model\"}\n\n        result = config_manager.get_model_config(\"model_config\", {}, \"tenant1\")\n\n        assert result == {\"model_id\": 123, \"model_name\": \"test_model\"}\n\n    @patch('backend.utils.config_utils.get_model_by_model_id')\n    @patch('backend.utils.config_utils.get_all_configs_by_tenant_id')\n    def test_get_model_config_invalid_model_id(self, mock_get_configs, mock_get_model, config_manager):\n        \"\"\"Test with invalid model ID\"\"\"\n        mock_get_configs.return_value = [\n            {\"config_key\": \"model_config\", \"config_value\": \"invalid\"}]\n        mock_get_model.side_effect = ValueError(\"Invalid model_id\")\n\n        result = config_manager.get_model_config(\"model_config\", {}, \"tenant1\")\n\n        assert result == {}\n\n    def test_get_model_config_no_tenant_id(self, config_manager):\n        \"\"\"Test without tenant ID\"\"\"\n        result = config_manager.get_model_config(\"key\")\n        assert result == {}\n\n    @patch('backend.utils.config_utils.get_all_configs_by_tenant_id')\n    def test_get_app_config_success(self, mock_get_configs, config_manager):\n        \"\"\"Test successful app config retrieval\"\"\"\n        mock_get_configs.return_value = [\n            {\"config_key\": \"app_setting\", \"config_value\": \"test_value\"}]\n\n        result = config_manager.get_app_config(\"app_setting\", \"\", \"tenant1\")\n\n        assert result == \"test_value\"\n\n    def test_get_app_config_no_tenant_id(self, config_manager):\n        \"\"\"Test without tenant ID\"\"\"\n        result = config_manager.get_app_config(\"key\")\n        assert result == \"\"\n\n    @patch('backend.utils.config_utils.insert_config')\n    @patch('backend.utils.config_utils.get_all_configs_by_tenant_id')\n    def test_set_single_config_success(self, mock_get_configs, mock_insert, config_manager):\n        \"\"\"Test successful single config setting\"\"\"\n        mock_get_configs.return_value = []\n\n        config_manager.set_single_config(\"user1\", \"tenant1\", \"key1\", \"value1\")\n\n        mock_insert.assert_called_once()\n        # No in-process cache to clear; ensure no cache attribute\n        assert not hasattr(config_manager, \"config_cache\")\n\n    def test_set_single_config_no_tenant_id(self, config_manager):\n        \"\"\"Test setting config without tenant ID\"\"\"\n        config_manager.set_single_config(\"user1\", None, \"key1\", \"value1\")\n        # Should not raise exception\n\n    @patch('backend.utils.config_utils.delete_config_by_tenant_config_id')\n    @patch('backend.utils.config_utils.get_single_config_info')\n    @patch('backend.utils.config_utils.get_all_configs_by_tenant_id')\n    def test_delete_single_config_success(self, mock_get_configs, mock_get_single, mock_delete, config_manager):\n        \"\"\"Test successful single config deletion\"\"\"\n        mock_get_configs.return_value = []\n        mock_get_single.return_value = {\"tenant_config_id\": 1}\n\n        config_manager.delete_single_config(\"tenant1\", \"key1\")\n\n        mock_delete.assert_called_once_with(1)\n        assert not hasattr(config_manager, \"config_cache\")\n\n    def test_delete_single_config_no_tenant_id(self, config_manager):\n        \"\"\"Test deleting config without tenant ID\"\"\"\n        config_manager.delete_single_config(None, \"key1\")\n        # Should not raise exception\n\n    @patch('backend.utils.config_utils.update_config_by_tenant_config_id_and_data')\n    @patch('backend.utils.config_utils.get_single_config_info')\n    @patch('backend.utils.config_utils.get_all_configs_by_tenant_id')\n    def test_update_single_config_success(self, mock_get_configs, mock_get_single, mock_update, config_manager):\n        \"\"\"Test successful single config update\"\"\"\n        mock_get_configs.return_value = []\n        mock_get_single.return_value = {\"tenant_config_id\": 1}\n\n        config_manager.update_single_config(\"tenant1\", \"key1\")\n\n        mock_update.assert_called_once()\n\n    def test_update_single_config_no_tenant_id(self, config_manager):\n        \"\"\"Test updating config without tenant ID\"\"\"\n        config_manager.update_single_config(None, \"key1\")\n        # Should not raise exception\n\n    def test_clear_cache_specific_tenant(self, config_manager):\n        \"\"\"Test clearing cache for specific tenant\"\"\"\n        # clear_cache removed with cache removal: method should not exist\n        assert not hasattr(config_manager, \"clear_cache\")\n\n    def test_clear_cache_all(self, config_manager):\n        \"\"\"Test clearing all cache\"\"\"\n        # clear_cache removed with cache removal: method should not exist\n        assert not hasattr(config_manager, \"clear_cache\")\n"
  },
  {
    "path": "test/backend/utils/test_file_management_utils.py",
    "content": "import sys\nimport types\nfrom typing import Any, Dict, Optional\n\nimport pytest\n\n\nclass _ProcessParams:\n    def __init__(self, authorization: str, source_type: str, chunking_strategy: str, index_name: Optional[str]):\n        self.authorization = authorization\n        self.source_type = source_type\n        self.chunking_strategy = chunking_strategy\n        self.index_name = index_name\n\n\n@pytest.fixture(autouse=True)\ndef stub_project_modules(monkeypatch):\n    # consts.const\n    const_mod = types.ModuleType(\"consts.const\")\n    setattr(const_mod, \"DATA_PROCESS_SERVICE\", \"http://data-process\")\n    sys.modules[\"consts.const\"] = const_mod\n\n    # consts.model\n    model_mod = types.ModuleType(\"consts.model\")\n    setattr(model_mod, \"ProcessParams\", _ProcessParams)\n    sys.modules[\"consts.model\"] = model_mod\n\n    # database.attachment_db\n    attach_mod = types.ModuleType(\"database.attachment_db\")\n    setattr(attach_mod, \"get_file_size_from_minio\", lambda object_name, bucket=None: 777)\n    sys.modules[\"database.attachment_db\"] = attach_mod\n\n    # Ensure parent package exists\n    if \"database\" not in sys.modules:\n        pkg = types.ModuleType(\"database\")\n        setattr(pkg, \"__path__\", [])\n        sys.modules[\"database\"] = pkg\n    setattr(sys.modules[\"database\"], \"attachment_db\", attach_mod)\n\n    # utils.auth_utils\n    auth_mod = types.ModuleType(\"utils.auth_utils\")\n    setattr(auth_mod, \"get_current_user_id\", lambda authorization: (\"user-1\", \"tenant-1\"))\n    sys.modules[\"utils.auth_utils\"] = auth_mod\n\n    # utils.config_utils\n    cfg_mod = types.ModuleType(\"utils.config_utils\")\n    cfg_mgr = types.SimpleNamespace(load_config=lambda tenant_id: {\"EMBEDDING_ID\": \"42\"})\n    setattr(cfg_mod, \"tenant_config_manager\", cfg_mgr)\n    sys.modules[\"utils.config_utils\"] = cfg_mod\n\n    # Yield to tests\n    yield\n\n\n@pytest.fixture()\ndef fmu(monkeypatch):\n    # Import after stubbing collaborators\n    from backend.utils import file_management_utils as fmu\n    return fmu\n\n\n# -------------------- save_upload_file --------------------\n\n\n@pytest.mark.asyncio\nasync def test_save_upload_file_success(tmp_path, fmu, monkeypatch):\n    written: Dict[str, bytes] = {}\n\n    class _FakeFile:\n        async def read(self) -> bytes:\n            return b\"hello\"\n\n    class _FakeAIOOpen:\n        def __init__(self, path, mode):\n            self.path = str(path)\n            self.mode = mode\n\n        async def __aenter__(self):\n            class _Writer:\n                async def write(_, b: bytes):  # noqa: N803\n                    written[self.path] = b\n\n            return _Writer()\n\n        async def __aexit__(self, exc_type, exc, tb):\n            return False\n\n    fake_aiofiles = types.SimpleNamespace(open=_FakeAIOOpen)\n    monkeypatch.setattr(fmu, \"aiofiles\", fake_aiofiles)\n\n    ok = await fmu.save_upload_file(_FakeFile(), tmp_path / \"x.bin\")\n    assert ok is True\n    assert written[str(tmp_path / \"x.bin\")] == b\"hello\"\n\n\n@pytest.mark.asyncio\nasync def test_save_upload_file_error(tmp_path, fmu, monkeypatch):\n    class _ErrOpen:\n        def __init__(self, *a, **k):\n            pass\n\n        async def __aenter__(self):\n            raise RuntimeError(\"fail\")\n\n        async def __aexit__(self, exc_type, exc, tb):\n            return False\n\n    monkeypatch.setattr(fmu, \"aiofiles\", types.SimpleNamespace(open=_ErrOpen))\n\n    class _FakeFile:\n        filename = \"x.bin\"\n        async def read(self) -> bytes:\n            return b\"data\"\n\n    ok = await fmu.save_upload_file(_FakeFile(), tmp_path / \"x.bin\")\n    assert ok is False\n\n\n# -------------------- trigger_data_process --------------------\n\n\nclass _Resp:\n    def __init__(self, status_code: int, body: Any = None, text: str = \"\"):\n        self.status_code = status_code\n        self._body = body\n        self.text = text\n\n    def json(self):\n        return self._body\n\n\nclass _FakeRequestError(Exception):\n    pass\n\n\nclass _FakeAsyncClient:\n    def __init__(self, resp: _Resp = _Resp(201, {\"ok\": True})):\n        self._resp = resp\n        self.last_post: Dict[str, Any] = {}\n        self.last_get: Dict[str, Any] = {}\n\n    async def __aenter__(self):\n        return self\n\n    async def __aexit__(self, exc_type, exc, tb):\n        return False\n\n    async def post(self, url: str, headers: Dict[str, str], json: Dict[str, Any], timeout: float):\n        self.last_post = {\"url\": url, \"headers\": headers, \"json\": json, \"timeout\": timeout}\n        if isinstance(self._resp, Exception):\n            raise self._resp\n        return self._resp\n\n    async def get(self, url: str, timeout: float):\n        self.last_get = {\"url\": url, \"timeout\": timeout}\n        if isinstance(self._resp, Exception):\n            raise self._resp\n        return self._resp\n\n\n@pytest.mark.asyncio\nasync def test_trigger_data_process_empty_files_returns_none(fmu):\n    params = _ProcessParams(\"tok\", \"local\", \"basic\", \"idx\")\n    out = await fmu.trigger_data_process([], params)\n    assert out is None\n\n\n@pytest.mark.asyncio\nasync def test_trigger_data_process_single_success_with_embedding(fmu, monkeypatch):\n    fake_client = _FakeAsyncClient(_Resp(201, {\"task_id\": \"t1\"}))\n    fake_httpx = types.SimpleNamespace(AsyncClient=lambda: fake_client, RequestError=_FakeRequestError)\n    monkeypatch.setattr(fmu, \"httpx\", fake_httpx)\n\n    params = _ProcessParams(\"tok\", \"local\", \"basic\", \"idx\")\n    files = [{\"path_or_url\": \"/data/a.txt\", \"filename\": \"a.txt\"}]\n    out = await fmu.trigger_data_process(files, params)\n    assert out == {\"task_id\": \"t1\"}\n    assert fake_client.last_post[\"url\"].endswith(\"/tasks\")\n    assert fake_client.last_post[\"headers\"][\"Authorization\"] == \"Bearer tok\"\n    assert fake_client.last_post[\"json\"][\"embedding_model_id\"] == 42\n    assert fake_client.last_post[\"json\"][\"tenant_id\"] == \"tenant-1\"\n\n\n@pytest.mark.asyncio\nasync def test_trigger_data_process_single_non201_error(fmu, monkeypatch):\n    fake_client = _FakeAsyncClient(_Resp(400, None, text=\"boom\"))\n    fake_httpx = types.SimpleNamespace(AsyncClient=lambda: fake_client, RequestError=_FakeRequestError)\n    monkeypatch.setattr(fmu, \"httpx\", fake_httpx)\n\n    params = _ProcessParams(\"tok\", \"local\", \"basic\", \"idx\")\n    files = [{\"path_or_url\": \"/data/a.txt\", \"filename\": \"a.txt\"}]\n    out = await fmu.trigger_data_process(files, params)\n    assert out[\"status\"] == \"error\" and out[\"code\"] == 400\n\n\n@pytest.mark.asyncio\nasync def test_trigger_data_process_single_request_error(fmu, monkeypatch):\n    fake_client = _FakeAsyncClient(_FakeRequestError(\"net\"))\n    fake_httpx = types.SimpleNamespace(AsyncClient=lambda: fake_client, RequestError=_FakeRequestError)\n    monkeypatch.setattr(fmu, \"httpx\", fake_httpx)\n\n    params = _ProcessParams(\"tok\", \"local\", \"basic\", \"idx\")\n    files = [{\"path_or_url\": \"/data/a.txt\", \"filename\": \"a.txt\"}]\n    out = await fmu.trigger_data_process(files, params)\n    assert out[\"status\"] == \"error\" and out[\"code\"] == \"CONNECTION_ERROR\"\n\n\n@pytest.mark.asyncio\nasync def test_trigger_data_process_batch_success(fmu, monkeypatch):\n    fake_client = _FakeAsyncClient(_Resp(201, {\"task_ids\": [\"t1\", \"t2\"]}))\n    fake_httpx = types.SimpleNamespace(AsyncClient=lambda: fake_client, RequestError=_FakeRequestError)\n    monkeypatch.setattr(fmu, \"httpx\", fake_httpx)\n\n    params = _ProcessParams(\"tok\", \"minio\", \"basic\", \"idx\")\n    files = [\n        {\"path_or_url\": \"/data/a.txt\", \"filename\": \"a.txt\"},\n        {\"path_or_url\": \"/data/b.txt\", \"filename\": \"b.txt\"},\n    ]\n    out = await fmu.trigger_data_process(files, params)\n    assert out == {\"task_ids\": [\"t1\", \"t2\"]}\n    assert fake_client.last_post[\"url\"].endswith(\"/tasks/batch\")\n    assert len(fake_client.last_post[\"json\"][\"sources\"]) == 2\n\n\n@pytest.mark.asyncio\nasync def test_trigger_data_process_batch_non201_and_request_error(fmu, monkeypatch):\n    # non-201\n    fake_client1 = _FakeAsyncClient(_Resp(500, None, text=\"bad\"))\n    fake_httpx1 = types.SimpleNamespace(AsyncClient=lambda: fake_client1, RequestError=_FakeRequestError)\n    monkeypatch.setattr(fmu, \"httpx\", fake_httpx1)\n    params = _ProcessParams(\"tok\", \"minio\", \"basic\", \"idx\")\n    files = [\n        {\"path_or_url\": \"/a\", \"filename\": \"a\"},\n        {\"path_or_url\": \"/b\", \"filename\": \"b\"},\n    ]\n    out1 = await fmu.trigger_data_process(files, params)\n    assert out1[\"status\"] == \"error\" and out1[\"code\"] == 500\n\n    # request error\n    fake_client2 = _FakeAsyncClient(_FakeRequestError(\"down\"))\n    fake_httpx2 = types.SimpleNamespace(AsyncClient=lambda: fake_client2, RequestError=_FakeRequestError)\n    monkeypatch.setattr(fmu, \"httpx\", fake_httpx2)\n    out2 = await fmu.trigger_data_process(files, params)\n    assert out2[\"status\"] == \"error\" and out2[\"code\"] == \"CONNECTION_ERROR\"\n\n\n# -------------------- get_all_files_status --------------------\n\n\n@pytest.mark.asyncio\nasync def test_get_all_files_status_success_and_convert(fmu, monkeypatch):\n    tasks_list = [\n        {\n            \"id\": \"1\",\n            \"task_name\": \"process\",\n            \"index_name\": \"idx\",\n            \"path_or_url\": \"/p1\",\n            \"original_filename\": \"f1\",\n            \"source_type\": \"local\",\n            \"status\": \"SUCCESS\",\n            \"created_at\": 1,\n        },\n        {\n            \"id\": \"2\",\n            \"task_name\": \"forward\",\n            \"index_name\": \"idx\",\n            \"path_or_url\": \"/p1\",\n            \"original_filename\": \"f1\",\n            \"source_type\": \"local\",\n            \"status\": \"PENDING\",\n            \"created_at\": 2,\n        },\n    ]\n    fake_client = _FakeAsyncClient(_Resp(200, tasks_list))\n    monkeypatch.setattr(fmu, \"httpx\", types.SimpleNamespace(AsyncClient=lambda: fake_client))\n    async def _fake_convert(process_celery_state, forward_celery_state):\n        return \"COMPLETED\"\n    monkeypatch.setattr(fmu, \"_convert_to_custom_state\", _fake_convert)\n\n    out = await fmu.get_all_files_status(\"idx\")\n    assert \"/p1\" in out\n    assert out[\"/p1\"][\"state\"] == \"COMPLETED\"\n    assert out[\"/p1\"][\"latest_task_id\"] == \"2\"\n    assert out[\"/p1\"][\"original_filename\"] == \"f1\"\n    assert out[\"/p1\"][\"source_type\"] == \"local\"\n\n\n@pytest.mark.asyncio\nasync def test_get_all_files_status_connect_error_and_non200(fmu, monkeypatch):\n    # connect error\n    fake_client_err = _FakeAsyncClient(Exception(\"down\"))\n    monkeypatch.setattr(fmu, \"httpx\", types.SimpleNamespace(AsyncClient=lambda: fake_client_err))\n    out1 = await fmu.get_all_files_status(\"idx\")\n    assert out1 == {}\n\n    # non-200\n    fake_client = _FakeAsyncClient(_Resp(500, None, text=\"bad\"))\n    monkeypatch.setattr(fmu, \"httpx\", types.SimpleNamespace(AsyncClient=lambda: fake_client))\n    out2 = await fmu.get_all_files_status(\"idx\")\n    assert out2 == {}\n\n\n@pytest.mark.asyncio\nasync def test_get_all_files_status_no_tasks_returns_empty(fmu, monkeypatch):\n    fake_client = _FakeAsyncClient(_Resp(200, []))\n    monkeypatch.setattr(fmu, \"httpx\", types.SimpleNamespace(AsyncClient=lambda: fake_client))\n\n    out = await fmu.get_all_files_status(\"idx-empty\")\n    assert out == {}\n\n\n@pytest.mark.asyncio\nasync def test_get_all_files_status_forward_updates_and_redis_progress(fmu, monkeypatch):\n    tasks_list = [\n        {\n            \"id\": \"10\",\n            \"task_name\": \"process\",\n            \"index_name\": \"idx\",\n            \"path_or_url\": \"/p2\",\n            \"original_filename\": \"f2\",\n            \"source_type\": \"local\",\n            \"status\": \"SUCCESS\",\n            \"created_at\": 1,\n        },\n        {\n            \"id\": \"20\",\n            \"task_name\": \"forward\",\n            \"index_name\": \"idx\",\n            \"path_or_url\": \"/p2\",\n            \"original_filename\": \"f2\",\n            \"source_type\": \"local\",\n            \"status\": \"STARTED\",\n            \"created_at\": 5,  # later than process to trigger forward branch\n        },\n    ]\n    fake_client = _FakeAsyncClient(_Resp(200, tasks_list))\n    monkeypatch.setattr(fmu, \"httpx\", types.SimpleNamespace(AsyncClient=lambda: fake_client))\n    async def _fake_convert(*a, **k):\n        return \"FORWARDING\"\n    monkeypatch.setattr(fmu, \"_convert_to_custom_state\", _fake_convert)\n\n    # Stub redis_service with progress info\n    services_pkg = types.ModuleType(\"services\")\n    services_pkg.__path__ = []\n    sys.modules[\"services\"] = services_pkg\n    redis_mod = types.ModuleType(\"services.redis_service\")\n    redis_mod.get_redis_service = lambda: types.SimpleNamespace(\n        get_progress_info=lambda task_id: {\"processed_chunks\": 7, \"total_chunks\": 9}\n    )\n    sys.modules[\"services.redis_service\"] = redis_mod\n\n    out = await fmu.get_all_files_status(\"idx\")\n    assert out[\"/p2\"][\"state\"] == \"FORWARDING\"\n    assert out[\"/p2\"][\"latest_task_id\"] == \"20\"\n    assert out[\"/p2\"][\"processed_chunks\"] == 7\n    assert out[\"/p2\"][\"total_chunks\"] == 9\n\n\n@pytest.mark.asyncio\nasync def test_get_all_files_status_redis_progress_exception(fmu, monkeypatch):\n    tasks_list = [\n        {\n            \"id\": \"30\",\n            \"task_name\": \"forward\",\n            \"index_name\": \"idx\",\n            \"path_or_url\": \"/p3\",\n            \"original_filename\": \"f3\",\n            \"source_type\": \"local\",\n            \"status\": \"STARTED\",\n            \"created_at\": 2,\n        },\n    ]\n    fake_client = _FakeAsyncClient(_Resp(200, tasks_list))\n    monkeypatch.setattr(fmu, \"httpx\", types.SimpleNamespace(AsyncClient=lambda: fake_client))\n    async def _fake_convert(*a, **k):\n        return \"FORWARDING\"\n    monkeypatch.setattr(fmu, \"_convert_to_custom_state\", _fake_convert)\n\n    # Redis service raising exception to hit exception path\n    services_pkg = types.ModuleType(\"services\")\n    services_pkg.__path__ = []\n    sys.modules[\"services\"] = services_pkg\n    redis_mod = types.ModuleType(\"services.redis_service\")\n    def _boom():\n        raise RuntimeError(\"redis down\")\n    redis_mod.get_redis_service = lambda: types.SimpleNamespace(get_progress_info=lambda task_id: _boom())\n    sys.modules[\"services.redis_service\"] = redis_mod\n\n    out = await fmu.get_all_files_status(\"idx\")\n    assert out[\"/p3\"][\"state\"] == \"FORWARDING\"\n    assert out[\"/p3\"][\"processed_chunks\"] is None\n    assert out[\"/p3\"][\"total_chunks\"] is None\n\n\n@pytest.mark.asyncio\nasync def test_get_all_files_status_outer_exception_returns_empty(fmu, monkeypatch):\n    tasks_list = [\n        {\n            \"id\": \"40\",\n            \"task_name\": \"process\",\n            \"index_name\": \"idx\",\n            \"path_or_url\": \"/p4\",\n            \"original_filename\": \"f4\",\n            \"source_type\": \"local\",\n            \"status\": \"SUCCESS\",\n            \"created_at\": 1,\n        },\n    ]\n    fake_client = _FakeAsyncClient(_Resp(200, tasks_list))\n    monkeypatch.setattr(fmu, \"httpx\", types.SimpleNamespace(AsyncClient=lambda: fake_client))\n\n    def _boom(*a, **k):\n        raise RuntimeError(\"convert failed\")\n    monkeypatch.setattr(fmu, \"_convert_to_custom_state\", _boom)\n\n    out = await fmu.get_all_files_status(\"idx\")\n    assert out == {}\n\n\n# -------------------- _convert_to_custom_state --------------------\n\n\n@pytest.mark.asyncio\nasync def test_convert_to_custom_state_remote_success(fmu, monkeypatch):\n    fake_client = _FakeAsyncClient(_Resp(200, {\"state\": \"COMPLETED\"}))\n    monkeypatch.setattr(fmu, \"httpx\", types.SimpleNamespace(AsyncClient=lambda: fake_client))\n    out = await fmu._convert_to_custom_state(\"SUCCESS\", \"SUCCESS\")\n    assert out == \"COMPLETED\"\n\n\n@pytest.mark.asyncio\nasync def test_convert_to_custom_state_fallback_mappings(fmu, monkeypatch):\n    # non-200 triggers fallback\n    fake_client = _FakeAsyncClient(_Resp(500, None))\n    monkeypatch.setattr(fmu, \"httpx\", types.SimpleNamespace(AsyncClient=lambda: fake_client))\n\n    # process failure\n    assert (await fmu._convert_to_custom_state(\"FAILURE\", \"\")) == \"PROCESS_FAILED\"\n    # forward failure\n    assert (await fmu._convert_to_custom_state(\"\", \"FAILURE\")) == \"FORWARD_FAILED\"\n    # both success\n    assert (await fmu._convert_to_custom_state(\"SUCCESS\", \"SUCCESS\")) == \"COMPLETED\"\n    # both empty\n    assert (await fmu._convert_to_custom_state(\"\", \"\")) == \"WAIT_FOR_PROCESSING\"\n    # forward-only mapping\n    assert (await fmu._convert_to_custom_state(\"\", \"PENDING\")) == \"WAIT_FOR_FORWARDING\"\n    assert (await fmu._convert_to_custom_state(\"\", \"STARTED\")) == \"FORWARDING\"\n    assert (await fmu._convert_to_custom_state(\"\", \"SUCCESS\")) == \"COMPLETED\"\n    assert (await fmu._convert_to_custom_state(\"\", \"X\")) == \"WAIT_FOR_FORWARDING\"\n    # process-only mapping\n    assert (await fmu._convert_to_custom_state(\"PENDING\", \"\")) == \"WAIT_FOR_PROCESSING\"\n    assert (await fmu._convert_to_custom_state(\"STARTED\", \"\")) == \"PROCESSING\"\n    assert (await fmu._convert_to_custom_state(\"SUCCESS\", \"\")) == \"WAIT_FOR_FORWARDING\"\n    assert (await fmu._convert_to_custom_state(\"Y\", \"\")) == \"WAIT_FOR_PROCESSING\"\n\n\n# -------------------- get_file_size --------------------\n\n\ndef test_get_file_size_minio_ok_and_request_error(fmu, monkeypatch):\n    # ok\n    assert fmu.get_file_size(\"minio\", \"obj\") == 777\n\n    # request exception path\n    class _ReqExc(Exception):\n        pass\n\n    fake_requests = types.SimpleNamespace(exceptions=types.SimpleNamespace(RequestException=_ReqExc))\n    monkeypatch.setattr(fmu, \"requests\", fake_requests)\n\n    def raise_req(*a, **k):\n        raise _ReqExc(\"x\")\n\n    monkeypatch.setattr(fmu, \"get_file_size_from_minio\", raise_req)\n    assert fmu.get_file_size(\"minio\", \"obj\") == 0\n\n\ndef test_get_file_size_local_exists_missing_and_error(fmu, monkeypatch):\n    monkeypatch.setattr(fmu.os.path, \"exists\", lambda p: True)\n    monkeypatch.setattr(fmu.os.path, \"getsize\", lambda p: 1234)\n    assert fmu.get_file_size(\"local\", \"/tmp/x\") == 1234\n\n    monkeypatch.setattr(fmu.os.path, \"exists\", lambda p: False)\n    assert fmu.get_file_size(\"local\", \"/tmp/x\") == 0\n\n    def boom(p):\n        raise RuntimeError(\"e\")\n\n    monkeypatch.setattr(fmu.os.path, \"exists\", lambda p: True)\n    monkeypatch.setattr(fmu.os.path, \"getsize\", boom)\n    assert fmu.get_file_size(\"local\", \"/tmp/x\") == 0\n\n\ndef test_get_file_size_invalid_source_type(fmu):\n    # Function catches NotImplementedError and returns 0\n    assert fmu.get_file_size(\"http\", \"http://x\") == 0\n\n\n# -------------------- Additional coverage for get_all_files_status --------------------\n\n\n@pytest.mark.asyncio\nasync def test_get_all_files_status_forward_created_at_not_greater(fmu, monkeypatch):\n    \"\"\"Test forward task with created_at not greater than latest_forward_created_at (line 195)\"\"\"\n    tasks_list = [\n        {\n            \"id\": \"20\",\n            \"task_name\": \"forward\",\n            \"index_name\": \"idx\",\n            \"path_or_url\": \"/p5\",\n            \"original_filename\": \"f5\",\n            \"source_type\": \"local\",\n            \"status\": \"STARTED\",\n            \"created_at\": 5,\n        },\n        {\n            \"id\": \"21\",\n            \"task_name\": \"forward\",\n            \"index_name\": \"idx\",\n            \"path_or_url\": \"/p5\",\n            \"original_filename\": \"f5\",\n            \"source_type\": \"local\",\n            \"status\": \"SUCCESS\",\n            \"created_at\": 3,  # Less than previous forward task, should not update\n        },\n    ]\n    fake_client = _FakeAsyncClient(_Resp(200, tasks_list))\n    monkeypatch.setattr(fmu, \"httpx\", types.SimpleNamespace(AsyncClient=lambda: fake_client))\n    async def _fake_convert(*a, **k):\n        return \"FORWARDING\"\n    monkeypatch.setattr(fmu, \"_convert_to_custom_state\", _fake_convert)\n\n    out = await fmu.get_all_files_status(\"idx\")\n    # Should use the first forward task (id=20) as latest since it has higher created_at\n    assert out[\"/p5\"][\"latest_task_id\"] == \"20\"\n\n\n@pytest.mark.asyncio\nasync def test_get_all_files_status_empty_task_id(fmu, monkeypatch):\n    \"\"\"Test when task_id is empty string (line 221 - not entering if branch)\"\"\"\n    tasks_list = [\n        {\n            \"id\": \"\",  # Empty task_id\n            \"task_name\": \"process\",\n            \"index_name\": \"idx\",\n            \"path_or_url\": \"/p6\",\n            \"original_filename\": \"f6\",\n            \"source_type\": \"local\",\n            \"status\": \"SUCCESS\",\n            \"created_at\": 1,\n        },\n    ]\n    fake_client = _FakeAsyncClient(_Resp(200, tasks_list))\n    monkeypatch.setattr(fmu, \"httpx\", types.SimpleNamespace(AsyncClient=lambda: fake_client))\n    async def _fake_convert(*a, **k):\n        return \"COMPLETED\"\n    monkeypatch.setattr(fmu, \"_convert_to_custom_state\", _fake_convert)\n\n    # Stub redis_service to ensure it's not called\n    services_pkg = types.ModuleType(\"services\")\n    services_pkg.__path__ = []\n    sys.modules[\"services\"] = services_pkg\n    redis_mod = types.ModuleType(\"services.redis_service\")\n    redis_called = {\"called\": False}\n    def _track_call(task_id):\n        redis_called[\"called\"] = True\n        return {}\n    redis_mod.get_redis_service = lambda: types.SimpleNamespace(\n        get_progress_info=_track_call\n    )\n    sys.modules[\"services.redis_service\"] = redis_mod\n\n    out = await fmu.get_all_files_status(\"idx\")\n    assert out[\"/p6\"][\"latest_task_id\"] == \"\"\n    # Redis should not be called when task_id is empty\n    assert redis_called[\"called\"] is False\n\n\n@pytest.mark.asyncio\nasync def test_get_all_files_status_redis_progress_info_none(fmu, monkeypatch):\n    \"\"\"Test when progress_info is None (line 226, 237 - entering else branch)\"\"\"\n    tasks_list = [\n        {\n            \"id\": \"50\",\n            \"task_name\": \"forward\",\n            \"index_name\": \"idx\",\n            \"path_or_url\": \"/p7\",\n            \"original_filename\": \"f7\",\n            \"source_type\": \"local\",\n            \"status\": \"STARTED\",\n            \"created_at\": 1,\n            \"processed_chunks\": 5,\n            \"total_chunks\": 10,\n        },\n    ]\n    fake_client = _FakeAsyncClient(_Resp(200, tasks_list))\n    monkeypatch.setattr(fmu, \"httpx\", types.SimpleNamespace(AsyncClient=lambda: fake_client))\n    async def _fake_convert(*a, **k):\n        return \"FORWARDING\"\n    monkeypatch.setattr(fmu, \"_convert_to_custom_state\", _fake_convert)\n\n    # Redis service returning None (line 226, 237)\n    services_pkg = types.ModuleType(\"services\")\n    services_pkg.__path__ = []\n    sys.modules[\"services\"] = services_pkg\n    redis_mod = types.ModuleType(\"services.redis_service\")\n    redis_mod.get_redis_service = lambda: types.SimpleNamespace(\n        get_progress_info=lambda task_id: None  # Returns None to trigger else branch\n    )\n    sys.modules[\"services.redis_service\"] = redis_mod\n\n    out = await fmu.get_all_files_status(\"idx\")\n    assert out[\"/p7\"][\"state\"] == \"FORWARDING\"\n    assert out[\"/p7\"][\"latest_task_id\"] == \"50\"\n    # Should use task state values when progress_info is None\n    assert out[\"/p7\"][\"processed_chunks\"] == 5\n    assert out[\"/p7\"][\"total_chunks\"] == 10\n\n\n@pytest.mark.asyncio\nasync def test_get_all_files_status_redis_processed_chunks_none(fmu, monkeypatch):\n    \"\"\"Test when redis_processed is None (line 230 - not entering if branch)\"\"\"\n    tasks_list = [\n        {\n            \"id\": \"60\",\n            \"task_name\": \"forward\",\n            \"index_name\": \"idx\",\n            \"path_or_url\": \"/p8\",\n            \"original_filename\": \"f8\",\n            \"source_type\": \"local\",\n            \"status\": \"STARTED\",\n            \"created_at\": 1,\n            \"processed_chunks\": 3,\n            \"total_chunks\": 8,\n        },\n    ]\n    fake_client = _FakeAsyncClient(_Resp(200, tasks_list))\n    monkeypatch.setattr(fmu, \"httpx\", types.SimpleNamespace(AsyncClient=lambda: fake_client))\n    async def _fake_convert(*a, **k):\n        return \"FORWARDING\"\n    monkeypatch.setattr(fmu, \"_convert_to_custom_state\", _fake_convert)\n\n    # Redis service returning progress_info with processed_chunks as None (line 230)\n    services_pkg = types.ModuleType(\"services\")\n    services_pkg.__path__ = []\n    sys.modules[\"services\"] = services_pkg\n    redis_mod = types.ModuleType(\"services.redis_service\")\n    redis_mod.get_redis_service = lambda: types.SimpleNamespace(\n        get_progress_info=lambda task_id: {\n            \"processed_chunks\": None,  # None to skip line 230 if branch\n            \"total_chunks\": 15\n        }\n    )\n    sys.modules[\"services.redis_service\"] = redis_mod\n\n    out = await fmu.get_all_files_status(\"idx\")\n    assert out[\"/p8\"][\"state\"] == \"FORWARDING\"\n    # processed_chunks should remain from task state (3) since redis_processed is None\n    assert out[\"/p8\"][\"processed_chunks\"] == 3\n    # total_chunks should be updated from Redis (15)\n    assert out[\"/p8\"][\"total_chunks\"] == 15\n\n\n@pytest.mark.asyncio\nasync def test_get_all_files_status_redis_total_chunks_none(fmu, monkeypatch):\n    \"\"\"Test when redis_total is None (line 232 - not entering if branch)\"\"\"\n    tasks_list = [\n        {\n            \"id\": \"70\",\n            \"task_name\": \"forward\",\n            \"index_name\": \"idx\",\n            \"path_or_url\": \"/p9\",\n            \"original_filename\": \"f9\",\n            \"source_type\": \"local\",\n            \"status\": \"STARTED\",\n            \"created_at\": 1,\n            \"processed_chunks\": 4,\n            \"total_chunks\": 12,\n        },\n    ]\n    fake_client = _FakeAsyncClient(_Resp(200, tasks_list))\n    monkeypatch.setattr(fmu, \"httpx\", types.SimpleNamespace(AsyncClient=lambda: fake_client))\n    async def _fake_convert(*a, **k):\n        return \"FORWARDING\"\n    monkeypatch.setattr(fmu, \"_convert_to_custom_state\", _fake_convert)\n\n    # Redis service returning progress_info with total_chunks as None (line 232)\n    services_pkg = types.ModuleType(\"services\")\n    services_pkg.__path__ = []\n    sys.modules[\"services\"] = services_pkg\n    redis_mod = types.ModuleType(\"services.redis_service\")\n    redis_mod.get_redis_service = lambda: types.SimpleNamespace(\n        get_progress_info=lambda task_id: {\n            \"processed_chunks\": 6,\n            \"total_chunks\": None  # None to skip line 232 if branch\n        }\n    )\n    sys.modules[\"services.redis_service\"] = redis_mod\n\n    out = await fmu.get_all_files_status(\"idx\")\n    assert out[\"/p9\"][\"state\"] == \"FORWARDING\"\n    # processed_chunks should be updated from Redis (6)\n    assert out[\"/p9\"][\"processed_chunks\"] == 6\n    # total_chunks should remain from task state (12) since redis_total is None\n    assert out[\"/p9\"][\"total_chunks\"] == 12\n\n\nclass TestConvertOfficeToPdf:\n    \"\"\"Test cases for convert_office_to_pdf function\"\"\"\n\n    @pytest.mark.asyncio\n    async def test_convert_office_to_pdf_success(self, fmu, monkeypatch):\n        \"\"\"Test successful Office to PDF conversion\"\"\"\n        import subprocess\n        \n        mock_result = types.SimpleNamespace(returncode=0, stderr=\"\", stdout=\"\")\n        \n        monkeypatch.setattr(fmu.os.path, \"exists\", lambda p: True)\n        monkeypatch.setattr(fmu.os.path, \"basename\", lambda p: \"document.docx\")\n        monkeypatch.setattr(fmu.subprocess, \"run\", lambda *a, **k: mock_result)\n        \n        result = await fmu.convert_office_to_pdf('/tmp/document.docx', '/tmp/output')\n        \n        assert result == '/tmp/output/document.pdf'\n\n    @pytest.mark.asyncio\n    async def test_convert_office_to_pdf_input_not_found(self, fmu, monkeypatch):\n        \"\"\"Test conversion failure when input file does not exist\"\"\"\n        monkeypatch.setattr(fmu.os.path, \"exists\", lambda p: False)\n        \n        with pytest.raises(FileNotFoundError) as exc_info:\n            await fmu.convert_office_to_pdf('/tmp/nonexistent.docx', '/tmp/output')\n        \n        assert \"Input file not found\" in str(exc_info.value)\n\n    @pytest.mark.asyncio\n    async def test_convert_office_to_pdf_libreoffice_error(self, fmu, monkeypatch):\n        \"\"\"Test conversion failure when LibreOffice returns error\"\"\"\n        mock_result = types.SimpleNamespace(returncode=1, stderr=\"Error: LibreOffice crashed\", stdout=\"\")\n        \n        monkeypatch.setattr(fmu.os.path, \"exists\", lambda p: True)\n        monkeypatch.setattr(fmu.subprocess, \"run\", lambda *a, **k: mock_result)\n        \n        with pytest.raises(RuntimeError) as exc_info:\n            await fmu.convert_office_to_pdf('/tmp/document.docx', '/tmp/output')\n        \n        assert \"Office to PDF conversion failed\" in str(exc_info.value)\n\n    @pytest.mark.asyncio\n    async def test_convert_office_to_pdf_timeout(self, fmu, monkeypatch):\n        \"\"\"Test conversion failure due to timeout\"\"\"\n        import subprocess\n        \n        monkeypatch.setattr(fmu.os.path, \"exists\", lambda p: True)\n        \n        def raise_timeout(*a, **k):\n            raise subprocess.TimeoutExpired(cmd='libreoffice', timeout=30)\n        \n        monkeypatch.setattr(fmu.subprocess, \"run\", raise_timeout)\n        \n        with pytest.raises(TimeoutError) as exc_info:\n            await fmu.convert_office_to_pdf('/tmp/document.docx', '/tmp/output', timeout=30)\n        \n        assert \"timeout\" in str(exc_info.value).lower()\n\n    @pytest.mark.asyncio\n    async def test_convert_office_to_pdf_libreoffice_not_installed(self, fmu, monkeypatch):\n        \"\"\"Test conversion failure when LibreOffice is not installed\"\"\"\n        monkeypatch.setattr(fmu.os.path, \"exists\", lambda p: True)\n        \n        def raise_file_not_found(*a, **k):\n            raise FileNotFoundError(\"[Errno 2] No such file or directory: 'libreoffice'\")\n        \n        monkeypatch.setattr(fmu.subprocess, \"run\", raise_file_not_found)\n        \n        with pytest.raises(FileNotFoundError) as exc_info:\n            await fmu.convert_office_to_pdf('/tmp/document.docx', '/tmp/output')\n        \n        assert \"LibreOffice is not installed\" in str(exc_info.value)\n        assert \"not available in PATH\" in str(exc_info.value)\n\n    @pytest.mark.asyncio\n    async def test_convert_office_to_pdf_output_not_found(self, fmu, monkeypatch):\n        \"\"\"Test conversion failure when output PDF is not generated\"\"\"\n        mock_result = types.SimpleNamespace(returncode=0, stderr=\"\", stdout=\"\")\n        \n        def exists_side_effect(path):\n            # Input file exists, output PDF does not\n            if 'document.docx' in path:\n                return True\n            return False\n        \n        monkeypatch.setattr(fmu.os.path, \"exists\", exists_side_effect)\n        monkeypatch.setattr(fmu.os.path, \"basename\", lambda p: \"document.docx\")\n        monkeypatch.setattr(fmu.subprocess, \"run\", lambda *a, **k: mock_result)\n        \n        with pytest.raises(RuntimeError) as exc_info:\n            await fmu.convert_office_to_pdf('/tmp/document.docx', '/tmp/output')\n        \n        assert \"Converted PDF not found\" in str(exc_info.value)\n\n"
  },
  {
    "path": "test/backend/utils/test_langchain_utils.py",
    "content": "import pytest\nfrom unittest.mock import MagicMock\n\nfrom backend.utils.langchain_utils import discover_langchain_modules, _is_langchain_tool\n\n\n@pytest.fixture\ndef mock_logger():\n    \"\"\"Fixture to provide a mock logger\"\"\"\n    return MagicMock()\n\n\nclass TestLangchainUtils:\n    \"\"\"Tests for backend.utils.langchain_utils functions\"\"\"\n\n    def test_is_langchain_tool_with_base_tool(self, mocker):\n        \"\"\"Returns True for objects that are instances of BaseTool\"\"\"\n        # Mock BaseTool class and create instance\n        mock_base_tool_class = MagicMock()\n        mock_tool_instance = MagicMock()\n\n        mocker.patch('langchain_core.tools.BaseTool',\n                     mock_base_tool_class)\n        mocker.patch('backend.utils.langchain_utils.isinstance',\n                     return_value=True)\n\n        result = _is_langchain_tool(mock_tool_instance)\n        assert result is True\n\n    def test_is_langchain_tool_with_non_base_tool(self, mocker):\n        \"\"\"Returns False for objects that are not instances of BaseTool\"\"\"\n        mock_base_tool_class = MagicMock()\n\n        mocker.patch('langchain_core.tools.BaseTool',\n                     mock_base_tool_class)\n        mocker.patch('backend.utils.langchain_utils.isinstance',\n                     return_value=False)\n\n        result = _is_langchain_tool(\"not a tool\")\n        assert result is False\n\n    def test_discover_langchain_modules_success(self, mocker):\n        \"\"\"测试成功发现LangChain工具的情况\"\"\"\n        # 创建一个临时目录结构\n        mocker.patch('os.path.isdir', return_value=True)\n        mocker.patch('os.listdir', return_value=[\n            'tool1.py', 'tool2.py', '__init__.py', 'not_a_py_file.txt'])\n        mock_spec = mocker.patch('importlib.util.spec_from_file_location')\n        mock_module_from_spec = mocker.patch('importlib.util.module_from_spec')\n\n        # 创建模拟工具对象\n        mock_tool1 = MagicMock(name=\"tool1\")\n        mock_tool2 = MagicMock(name=\"tool2\")\n\n        # 设置模拟module\n        mock_module_obj1 = MagicMock()\n        mock_module_obj1.tool_obj1 = mock_tool1\n\n        mock_module_obj2 = MagicMock()\n        mock_module_obj2.tool_obj2 = mock_tool2\n\n        mock_module_from_spec.side_effect = [\n            mock_module_obj1, mock_module_obj2]\n\n        # 设置模拟spec和loader\n        mock_spec_obj1 = MagicMock()\n        mock_spec_obj2 = MagicMock()\n        mock_spec.side_effect = [mock_spec_obj1, mock_spec_obj2]\n\n        mock_loader1 = MagicMock()\n        mock_loader2 = MagicMock()\n        mock_spec_obj1.loader = mock_loader1\n        mock_spec_obj2.loader = mock_loader2\n\n        # 设置过滤函数始终返回True\n        def mock_filter(obj):\n            return obj is mock_tool1 or obj is mock_tool2\n\n        # 执行函数\n        result = discover_langchain_modules(filter_func=mock_filter)\n\n        # 验证loader.exec_module被调用\n        mock_loader1.exec_module.assert_called_once_with(mock_module_obj1)\n        mock_loader2.exec_module.assert_called_once_with(mock_module_obj2)\n\n        # 验证结果\n        assert len(result) == 2\n        discovered_objs = [obj for (obj, _) in result]\n        assert mock_tool1 in discovered_objs\n        assert mock_tool2 in discovered_objs\n\n    def test_discover_langchain_modules_directory_not_found(self, mocker):\n        \"\"\"测试目录不存在的情况\"\"\"\n        mocker.patch('os.path.isdir', return_value=False)\n        result = discover_langchain_modules(directory=\"non_existent_dir\")\n        assert result == []\n\n    def test_discover_langchain_modules_module_exception(self, mocker, mock_logger):\n        \"\"\"测试处理模块异常的情况\"\"\"\n        mocker.patch('os.path.isdir', return_value=True)\n        mocker.patch('os.listdir', return_value=['error_module.py'])\n        mock_spec = mocker.patch('importlib.util.spec_from_file_location')\n        mocker.patch('backend.utils.langchain_utils.logger', mock_logger)\n\n        # 设置spec_from_file_location抛出异常\n        mock_spec.side_effect = Exception(\"Module error\")\n\n        # 执行函数 - 应该捕获异常并继续\n        result = discover_langchain_modules()\n\n        # 验证结果为空列表\n        assert result == []\n        # 验证错误被记录\n        assert mock_logger.error.called\n        # 验证错误消息包含预期内容\n        mock_logger.error.assert_called_with(\n            \"Error processing module error_module.py: Module error\")\n\n    def test_discover_langchain_modules_spec_loader_none(self, mocker, mock_logger):\n        \"\"\"测试spec或loader为None的情况\"\"\"\n        mocker.patch('os.path.isdir', return_value=True)\n        mocker.patch('os.listdir', return_value=['invalid_module.py'])\n        mocker.patch('importlib.util.spec_from_file_location',\n                     return_value=None)\n        mocker.patch('backend.utils.langchain_utils.logger', mock_logger)\n\n        # 执行函数\n        result = discover_langchain_modules()\n\n        # 验证结果为空列表\n        assert result == []\n        # 验证警告被记录\n        assert mock_logger.warning.called\n        # 验证警告消息包含预期内容 - 检查是否包含文件名\n        actual_call = mock_logger.warning.call_args[0][0]\n        assert \"Failed to load spec for\" in actual_call\n        assert \"invalid_module.py\" in actual_call\n\n    def test_discover_langchain_modules_custom_filter(self, mocker):\n        \"\"\"测试使用自定义过滤函数的情况\"\"\"\n        mocker.patch('os.path.isdir', return_value=True)\n        mocker.patch('os.listdir', return_value=['tool.py'])\n        mock_spec = mocker.patch('importlib.util.spec_from_file_location')\n        mock_module_from_spec = mocker.patch('importlib.util.module_from_spec')\n\n        # 创建两个对象，一个通过过滤，一个不通过\n        obj_pass = MagicMock(name=\"pass_object\")\n        obj_fail = MagicMock(name=\"fail_object\")\n\n        # 设置模拟module，使其包含我们的两个测试对象\n        mock_module_obj = MagicMock()\n        mock_module_obj.obj_pass = obj_pass\n        mock_module_obj.obj_fail = obj_fail\n        mock_module_from_spec.return_value = mock_module_obj\n\n        # 设置模拟spec和loader\n        mock_spec_obj = MagicMock()\n        mock_spec.return_value = mock_spec_obj\n        mock_loader = MagicMock()\n        mock_spec_obj.loader = mock_loader\n\n        # 自定义过滤函数，只接受obj_pass\n        def custom_filter(obj):\n            return obj is obj_pass\n\n        # 执行函数\n        result = discover_langchain_modules(filter_func=custom_filter)\n\n        # 验证loader.exec_module被调用\n        mock_loader.exec_module.assert_called_once_with(mock_module_obj)\n\n        # 验证结果 - 应该只有一个对象通过过滤\n        assert len(result) == 1\n        assert result[0][0] == obj_pass\n"
  },
  {
    "path": "test/backend/utils/test_llm_utils.py",
    "content": "import sys\nimport types\nimport pytest\nfrom unittest.mock import MagicMock\nfrom pytest_mock import MockFixture\n\n# Mock boto3 and other external dependencies before importing modules under test\nboto3_mock = MagicMock()\nsys.modules['boto3'] = boto3_mock\n\nelasticsearch_mock = MagicMock()\nsys.modules['elasticsearch'] = elasticsearch_mock\n\n# Create placeholder nexent package hierarchy for patching\nnexent_module = types.ModuleType(\"nexent\")\nnexent_module.__path__ = []\nsys.modules['nexent'] = nexent_module\n\nstorage_pkg = types.ModuleType(\"nexent.storage\")\nstorage_pkg.__path__ = []\nsys.modules['nexent.storage'] = storage_pkg\nnexent_module.storage = storage_pkg\n\nstorage_client_factory_module = types.ModuleType(\"nexent.storage.storage_client_factory\")\nsys.modules['nexent.storage.storage_client_factory'] = storage_client_factory_module\nstorage_pkg.storage_client_factory = storage_client_factory_module\nstorage_client_factory_module.create_storage_client_from_config = MagicMock()\n\n\nclass _FakeMinIOStorageConfig:  # pylint: disable=too-few-public-methods\n    def __init__(self, *args, **kwargs):\n        pass\n\n    def validate(self):\n        return None\n\n\nstorage_client_factory_module.MinIOStorageConfig = _FakeMinIOStorageConfig\n\nminio_config_module = types.ModuleType(\"nexent.storage.minio_config\")\nsys.modules['nexent.storage.minio_config'] = minio_config_module\nstorage_pkg.minio_config = minio_config_module\nminio_config_module.MinIOStorageConfig = _FakeMinIOStorageConfig\n\nvector_db_pkg = types.ModuleType(\"nexent.vector_database\")\nvector_db_pkg.__path__ = []\nsys.modules['nexent.vector_database'] = vector_db_pkg\nnexent_module.vector_database = vector_db_pkg\n\nvector_db_es_module = types.ModuleType(\"nexent.vector_database.elasticsearch_core\")\nsys.modules['nexent.vector_database.elasticsearch_core'] = vector_db_es_module\nvector_db_pkg.elasticsearch_core = vector_db_es_module\nvector_db_es_module.ElasticSearchCore = MagicMock()\nvector_db_es_module.Elasticsearch = MagicMock()\n\n# Stub nexent.core.utils.observer MessageObserver used by llm_utils\nobserver_mod = types.ModuleType(\"nexent.core.utils.observer\")\n\n\ndef _make_message_observer(*a, **k):\n    return types.SimpleNamespace(\n        add_model_new_token=lambda t: None,\n        add_model_reasoning_content=lambda r: None,\n        flush_remaining_tokens=lambda: None,\n    )\n\n\nobserver_mod.MessageObserver = _make_message_observer\nobserver_mod.ProcessType = types.SimpleNamespace(MODEL_OUTPUT_CODE=types.SimpleNamespace(value=\"model_output_code\"),\n                                                 MODEL_OUTPUT_THINKING=types.SimpleNamespace(\n                                                     value=\"model_output_thinking\"))\nsys.modules[\"nexent.core.utils.observer\"] = observer_mod\n\n# Minimal nexent.core.models.OpenAIModel stub to satisfy imports (tests will patch behavior)\nmodels_mod = types.ModuleType(\"nexent.core.models\")\n\n\nclass _SimpleOpenAIModel:\n    def __init__(self, *a, **k):\n        self.client = MagicMock()\n        self.model_id = k.get(\"model_id\", \"\")\n\n    def _prepare_completion_kwargs(self, *a, **k):\n        return {}\n\n\nmodels_mod.OpenAIModel = _SimpleOpenAIModel\nsys.modules[\"nexent.core.models\"] = models_mod\n\n# Ensure backend.database.client modules exist before patching\nimport backend.database.client  # noqa: E402,F401\nimport database.client  # noqa: E402,F401\n\nfrom backend.utils.llm_utils import call_llm_for_system_prompt, _process_thinking_tokens\n\n\nclass TestCallLLMForSystemPrompt:\n    def test_call_llm_for_system_prompt_success(self, mocker: MockFixture):\n        mock_get_model_by_id = mocker.patch('backend.utils.llm_utils.get_model_by_model_id')\n        mock_get_model_name = mocker.patch('backend.utils.llm_utils.get_model_name_from_config')\n        mock_openai = mocker.patch('backend.utils.llm_utils.OpenAIModel')\n\n        mock_model_config = {\n            \"base_url\": \"http://example.com\",\n            \"api_key\": \"fake-key\",\n            \"model_factory\": \"qwen\",\n        }\n        mock_get_model_by_id.return_value = mock_model_config\n        mock_get_model_name.return_value = \"gpt-4\"\n\n        mock_llm_instance = mock_openai.return_value\n        mock_chunk = MagicMock()\n        mock_chunk.choices = [MagicMock()]\n        mock_chunk.choices[0].delta.content = \"Generated prompt\"\n\n        mock_llm_instance.client = MagicMock()\n        mock_llm_instance.client.chat.completions.create.return_value = [mock_chunk]\n        mock_llm_instance._prepare_completion_kwargs.return_value = {}\n\n        result = call_llm_for_system_prompt(\n            1,\n            \"user prompt\",\n            \"system prompt\",\n        )\n\n        assert result == \"Generated prompt\"\n        mock_get_model_by_id.assert_called_once_with(\n            model_id=1,\n            tenant_id=None,\n        )\n        mock_openai.assert_called_once_with(\n            model_id=\"gpt-4\",\n            api_base=\"http://example.com\",\n            model_factory=\"qwen\",\n            api_key=\"fake-key\",\n            temperature=0.3,\n            top_p=0.95,\n            ssl_verify=True,\n        )\n\n    def test_call_llm_for_system_prompt_exception(self, mocker: MockFixture):\n        from consts.error_code import ErrorCode\n        from consts.exceptions import AppException\n\n        mock_get_model_by_id = mocker.patch('backend.utils.llm_utils.get_model_by_model_id')\n        mock_get_model_name = mocker.patch('backend.utils.llm_utils.get_model_name_from_config')\n        mock_openai = mocker.patch('backend.utils.llm_utils.OpenAIModel')\n\n        mock_model_config = {\n            \"base_url\": \"http://example.com\",\n            \"api_key\": \"fake-key\",\n        }\n        mock_get_model_by_id.return_value = mock_model_config\n        mock_get_model_name.return_value = \"gpt-4\"\n\n        mock_llm_instance = mock_openai.return_value\n        mock_llm_instance.client = MagicMock()\n        mock_llm_instance.client.chat.completions.create.side_effect = Exception(\"LLM error\")\n        mock_llm_instance._prepare_completion_kwargs.return_value = {}\n\n        with pytest.raises(AppException) as exc_info:\n            call_llm_for_system_prompt(\n                1,\n                \"user prompt\",\n                \"system prompt\",\n            )\n\n        # Verify AppException is raised with correct error code for unmapped errors\n        assert exc_info.value.error_code == ErrorCode.MODEL_PROMPT_GENERATION_FAILED\n\n\nclass TestProcessThinkingTokens:\n    def test_process_thinking_tokens_normal_token(self):\n        token_join = []\n        callback_calls = []\n\n        def mock_callback(text):\n            callback_calls.append(text)\n\n        is_thinking = _process_thinking_tokens(\"Hello\", False, token_join, mock_callback)\n\n        assert is_thinking is False\n        assert token_join == [\"Hello\"]\n        assert callback_calls == [\"Hello\"]\n\n    def test_process_thinking_tokens_start_thinking(self):\n        token_join = []\n        callback_calls = []\n\n        def mock_callback(text):\n            callback_calls.append(text)\n\n        is_thinking = _process_thinking_tokens(\"<think>\", False, token_join, mock_callback)\n\n        assert is_thinking is True\n        assert token_join == []\n        assert callback_calls == []\n\n    def test_process_thinking_tokens_content_while_thinking(self):\n        token_join = [\"Hello\"]\n        callback_calls = []\n\n        def mock_callback(text):\n            callback_calls.append(text)\n\n        is_thinking = _process_thinking_tokens(\n            \"thinking content\",\n            True,\n            token_join,\n            mock_callback,\n        )\n\n        assert is_thinking is True\n        assert token_join == [\"Hello\"]\n        assert callback_calls == []\n\n    def test_process_thinking_tokens_end_thinking(self):\n        token_join = [\"Hello\"]\n        callback_calls = []\n\n        def mock_callback(text):\n            callback_calls.append(text)\n\n        is_thinking = _process_thinking_tokens(\"</think>\", True, token_join, mock_callback)\n\n        assert is_thinking is False\n        assert token_join == [\"Hello\"]\n        assert callback_calls == []\n\n    def test_process_thinking_tokens_content_after_thinking(self):\n        token_join = [\"Hello\"]\n        callback_calls = []\n\n        def mock_callback(text):\n            callback_calls.append(text)\n\n        is_thinking = _process_thinking_tokens(\"World\", False, token_join, mock_callback)\n\n        assert is_thinking is False\n        assert token_join == [\"Hello\", \"World\"]\n        assert callback_calls == [\"HelloWorld\"]\n\n    def test_process_thinking_tokens_complete_flow(self):\n        token_join = []\n        callback_calls = []\n\n        def mock_callback(text):\n            callback_calls.append(text)\n\n        is_thinking = _process_thinking_tokens(\"Start \", False, token_join, mock_callback)\n        assert is_thinking is False\n\n        is_thinking = _process_thinking_tokens(\"<think>\", False, token_join, mock_callback)\n        assert is_thinking is True\n\n        is_thinking = _process_thinking_tokens(\"thinking\", True, token_join, mock_callback)\n        assert is_thinking is True\n\n        is_thinking = _process_thinking_tokens(\" more\", True, token_join, mock_callback)\n        assert is_thinking is True\n\n        is_thinking = _process_thinking_tokens(\"</think>\", True, token_join, mock_callback)\n        assert is_thinking is False\n\n        is_thinking = _process_thinking_tokens(\" End\", False, token_join, mock_callback)\n        assert is_thinking is False\n\n        assert token_join == [\"Start \", \" End\"]\n        assert callback_calls == [\"Start \", \"Start  End\"]\n\n    def test_process_thinking_tokens_no_callback(self):\n        token_join = []\n\n        is_thinking = _process_thinking_tokens(\"Hello\", False, token_join, None)\n\n        assert is_thinking is False\n        assert token_join == [\"Hello\"]\n\n    def test_process_thinking_tokens_empty_token(self):\n        token_join = []\n        callback_calls = []\n\n        def mock_callback(text):\n            callback_calls.append(text)\n\n        is_thinking = _process_thinking_tokens(\"\", False, token_join, mock_callback)\n\n        assert is_thinking is False\n        assert token_join == []\n        assert callback_calls == []\n\n    def test_process_thinking_tokens_end_tag_without_starting(self):\n        \"\"\"Test end tag when never in thinking mode - should clear token_join\"\"\"\n        token_join = [\"Some\", \"content\"]\n        callback_calls = []\n\n        def mock_callback(text):\n            callback_calls.append(text)\n\n        is_thinking = _process_thinking_tokens(\"</think>\", False, token_join, mock_callback)\n\n        assert is_thinking is False\n        assert token_join == []\n        assert callback_calls == [\"\"]\n\n    def test_process_thinking_tokens_end_tag_without_starting_no_callback(self):\n        \"\"\"Test end tag when never in thinking mode without callback\"\"\"\n        token_join = [\"Some\", \"content\"]\n\n        is_thinking = _process_thinking_tokens(\"</think>\", False, token_join, None)\n\n        assert is_thinking is False\n        assert token_join == []\n\n    def test_process_thinking_tokens_end_tag_with_content_after(self):\n        \"\"\"Test end tag followed by content in the same token\"\"\"\n        token_join = [\"Hello\"]\n        callback_calls = []\n\n        def mock_callback(text):\n            callback_calls.append(text)\n\n        is_thinking = _process_thinking_tokens(\"</think>World\", True, token_join, mock_callback)\n\n        assert is_thinking is False\n        assert token_join == [\"Hello\", \"World\"]\n        assert callback_calls == [\"HelloWorld\"]\n\n    def test_process_thinking_tokens_start_tag_with_content_after(self):\n        \"\"\"Test start tag followed by content in the same token\"\"\"\n        token_join = [\"Hello\"]\n        callback_calls = []\n\n        def mock_callback(text):\n            callback_calls.append(text)\n\n        is_thinking = _process_thinking_tokens(\"<think>thinking\", False, token_join, mock_callback)\n\n        assert is_thinking is True\n        assert token_join == [\"Hello\"]\n        assert callback_calls == []\n\n    def test_process_thinking_tokens_both_tags_in_same_token(self):\n        \"\"\"Test both start and end tags in the same token\"\"\"\n        token_join = [\"Hello\"]\n        callback_calls = []\n\n        def mock_callback(text):\n            callback_calls.append(text)\n\n        # When both tags are in the same token, end tag is processed first\n        # End tag clears token_join (since is_thinking=False), sets is_thinking=False,\n        # new_token becomes \"World\" (content after </think>)\n        # Then start tag check happens on \"World\", no match, so is_thinking stays False\n        # Then is_thinking check returns False, so \"World\" is added to token_join\n        is_thinking = _process_thinking_tokens(\n            \"<think>thinking</think>World\",\n            False,\n            token_join,\n            mock_callback,\n        )\n\n        # After processing end tag: token_join cleared, is_thinking=False, new_token=\"World\"\n        # Start tag check on \"World\": no match, is_thinking stays False\n        # Then \"World\" is added to token_join\n        # Note: When end tag clears token_join, callback(\"\") is called, but empty string is not added to token_join\n        assert is_thinking is False\n        assert token_join == [\"World\"]\n        assert callback_calls == [\"\", \"World\"]\n\n    def test_process_thinking_tokens_new_token_empty_after_processing(self):\n        \"\"\"Test when new_token becomes empty after processing tags\"\"\"\n        token_join = [\"Hello\"]\n        callback_calls = []\n\n        def mock_callback(text):\n            callback_calls.append(text)\n\n        # End tag with no content after\n        is_thinking = _process_thinking_tokens(\"</think>\", True, token_join, mock_callback)\n\n        assert is_thinking is False\n        assert token_join == [\"Hello\"]\n        assert callback_calls == []\n\n\nclass AdditionalLLMUtilsTests:\n    def test_process_thinking_tokens_append_and_callback(self):\n        token_join = []\n        calls = []\n\n        def cb(text):\n            calls.append(text)\n\n        is_thinking = _process_thinking_tokens(\"Hello\", False, token_join, cb)\n        assert is_thinking is False\n        assert token_join == [\"Hello\"]\n        assert calls == [\"Hello\"]\n\n    def test_process_thinking_tokens_start_tag(self):\n        token_join = []\n        calls = []\n\n        def cb(text):\n            calls.append(text)\n\n        is_thinking = _process_thinking_tokens(\"<think>inner\", False, token_join, cb)\n        assert is_thinking is True\n        # start tag should not append to token_join\n        assert token_join == []\n        assert calls == []\n\n    def test_process_thinking_tokens_is_thinking_without_end(self):\n        token_join = [\"x\"]\n        # when already thinking and token does NOT contain end tag, should remain thinking\n        is_thinking = _process_thinking_tokens(\"still thinking\", True, token_join, None)\n        assert is_thinking is True\n        assert token_join == [\"x\"]\n\n    def test_process_thinking_tokens_is_thinking_with_end(self):\n        token_join = [\"x\"]\n        # when already thinking and token contains end tag, should return False (stop thinking)\n        is_thinking = _process_thinking_tokens(\"</think>done\", True, token_join, None)\n        assert is_thinking is False\n        # token_join is not modified by the function in this code path\n        assert token_join == [\"x\", \"done\"]\n\n    def test_process_thinking_tokens_empty_token_with_callback(self):\n        token_join = []\n        calls = []\n\n        def cb(text):\n            calls.append(text)\n\n        is_thinking = _process_thinking_tokens(\"\", False, token_join, cb)\n        # empty string is appended and callback is invoked with the joined token list\n        assert is_thinking is False\n        assert token_join == []\n        assert calls == []\n\n    def test_call_llm_for_system_prompt_skips_none_tokens_and_joins(self, mocker: MockFixture):\n        # Setup model config and OpenAIModel behavior\n        mock_get_model_by_id = mocker.patch('backend.utils.llm_utils.get_model_by_model_id')\n        mock_get_model_name = mocker.patch('backend.utils.llm_utils.get_model_name_from_config')\n        mock_openai = mocker.patch('backend.utils.llm_utils.OpenAIModel')\n\n        mock_get_model_by_id.return_value = {\"base_url\": \"http://x\", \"api_key\": \"k\"}\n        mock_get_model_name.return_value = \"gpt-5\"\n\n        mock_instance = mock_openai.return_value\n        # chunk1: None content (should be skipped), chunk2: actual content\n        chunk1 = MagicMock()\n        chunk1.choices = [MagicMock()]\n        chunk1.choices[0].delta.content = None\n\n        chunk2 = MagicMock()\n        chunk2.choices = [MagicMock()]\n        chunk2.choices[0].delta.content = \"OK\"\n\n        mock_instance.client = MagicMock()\n        mock_instance.client.chat.completions.create.return_value = [chunk1, chunk2]\n        mock_instance._prepare_completion_kwargs.return_value = {}\n\n        res = call_llm_for_system_prompt(1, \"u\", \"s\")\n        assert res == \"OK\"\n        # Ensure OpenAIModel constructed with expected args\n        mock_openai.assert_called_once()\n\n    def test_call_llm_for_system_prompt_generator_like_response(self, mocker: MockFixture):\n        mock_get_model_by_id = mocker.patch('backend.utils.llm_utils.get_model_by_model_id')\n        mock_get_model_name = mocker.patch('backend.utils.llm_utils.get_model_name_from_config')\n        mock_openai = mocker.patch('backend.utils.llm_utils.OpenAIModel')\n\n        mock_get_model_by_id.return_value = {\"base_url\": \"http://y\", \"api_key\": \"k2\"}\n        mock_get_model_name.return_value = \"gpt-6\"\n\n        mock_instance = mock_openai.return_value\n\n        # Provide an object that is iterable (generator-like)\n        def gen():\n            for txt in (\"A\", \"B\", None, \"C\"):\n                ch = MagicMock()\n                ch.choices = [MagicMock()]\n                ch.choices[0].delta.content = txt\n                yield ch\n\n        mock_instance.client = MagicMock()\n        mock_instance.client.chat.completions.create.return_value = gen()\n        mock_instance._prepare_completion_kwargs.return_value = {}\n\n        res = call_llm_for_system_prompt(2, \"u2\", \"s2\")\n        assert res == \"ABC\"\n\n    def test_call_llm_for_system_prompt_with_callback(self, mocker: MockFixture):\n        \"\"\"Test call_llm_for_system_prompt with callback\"\"\"\n        mock_get_model_by_id = mocker.patch('backend.utils.llm_utils.get_model_by_model_id')\n        mock_get_model_name = mocker.patch('backend.utils.llm_utils.get_model_name_from_config')\n        mock_openai = mocker.patch('backend.utils.llm_utils.OpenAIModel')\n\n        mock_get_model_by_id.return_value = {\"base_url\": \"http://example.com\", \"api_key\": \"fake-key\"}\n        mock_get_model_name.return_value = \"gpt-4\"\n\n        mock_llm_instance = mock_openai.return_value\n        mock_chunk = MagicMock()\n        mock_chunk.choices = [MagicMock()]\n        mock_chunk.choices[0].delta.content = \"Generated prompt\"\n\n        mock_llm_instance.client = MagicMock()\n        mock_llm_instance.client.chat.completions.create.return_value = [mock_chunk]\n        mock_llm_instance._prepare_completion_kwargs.return_value = {}\n\n        callback_calls = []\n\n        def mock_callback(text):\n            callback_calls.append(text)\n\n        result = call_llm_for_system_prompt(\n            1,\n            \"user prompt\",\n            \"system prompt\",\n            callback=mock_callback,\n        )\n\n        assert result == \"Generated prompt\"\n        assert len(callback_calls) == 1\n        assert callback_calls[0] == \"Generated prompt\"\n\n    def test_call_llm_for_system_prompt_with_reasoning_content(self, mocker: MockFixture):\n        \"\"\"Test call_llm_for_system_prompt with reasoning_content\"\"\"\n        mock_get_model_by_id = mocker.patch('backend.utils.llm_utils.get_model_by_model_id')\n        mock_get_model_name = mocker.patch('backend.utils.llm_utils.get_model_name_from_config')\n        mock_openai = mocker.patch('backend.utils.llm_utils.OpenAIModel')\n\n        mock_get_model_by_id.return_value = {\"base_url\": \"http://example.com\", \"api_key\": \"fake-key\"}\n        mock_get_model_name.return_value = \"gpt-4\"\n\n        mock_llm_instance = mock_openai.return_value\n        mock_chunk = MagicMock()\n        mock_chunk.choices = [MagicMock()]\n        mock_chunk.choices[0].delta.content = \"Generated prompt\"\n        mock_chunk.choices[0].delta.reasoning_content = \"Some reasoning\"\n\n        mock_llm_instance.client = MagicMock()\n        mock_llm_instance.client.chat.completions.create.return_value = [mock_chunk]\n        mock_llm_instance._prepare_completion_kwargs.return_value = {}\n\n        result = call_llm_for_system_prompt(\n            1,\n            \"user prompt\",\n            \"system prompt\",\n        )\n\n        assert result == \"Generated prompt\"\n\n    def test_call_llm_for_system_prompt_multiple_chunks(self, mocker: MockFixture):\n        \"\"\"Test call_llm_for_system_prompt with multiple chunks\"\"\"\n        mock_get_model_by_id = mocker.patch('backend.utils.llm_utils.get_model_by_model_id')\n        mock_get_model_name = mocker.patch('backend.utils.llm_utils.get_model_name_from_config')\n        mock_openai = mocker.patch('backend.utils.llm_utils.OpenAIModel')\n\n        mock_get_model_by_id.return_value = {\"base_url\": \"http://example.com\", \"api_key\": \"fake-key\"}\n        mock_get_model_name.return_value = \"gpt-4\"\n\n        mock_llm_instance = mock_openai.return_value\n        mock_chunk1 = MagicMock()\n        mock_chunk1.choices = [MagicMock()]\n        mock_chunk1.choices[0].delta.content = \"Generated \"\n        mock_chunk1.choices[0].delta.reasoning_content = None\n\n        mock_chunk2 = MagicMock()\n        mock_chunk2.choices = [MagicMock()]\n        mock_chunk2.choices[0].delta.content = \"prompt\"\n        mock_chunk2.choices[0].delta.reasoning_content = None\n\n        mock_llm_instance.client = MagicMock()\n        mock_llm_instance.client.chat.completions.create.return_value = [mock_chunk1, mock_chunk2]\n        mock_llm_instance._prepare_completion_kwargs.return_value = {}\n\n        result = call_llm_for_system_prompt(\n            1,\n            \"user prompt\",\n            \"system prompt\",\n        )\n\n        assert result == \"Generated prompt\"\n\n    def test_call_llm_for_system_prompt_with_none_content(self, mocker: MockFixture):\n        \"\"\"Test call_llm_for_system_prompt with delta.content as None\"\"\"\n        mock_get_model_by_id = mocker.patch('backend.utils.llm_utils.get_model_by_model_id')\n        mock_get_model_name = mocker.patch('backend.utils.llm_utils.get_model_name_from_config')\n        mock_openai = mocker.patch('backend.utils.llm_utils.OpenAIModel')\n\n        mock_get_model_by_id.return_value = {\"base_url\": \"http://example.com\", \"api_key\": \"fake-key\"}\n        mock_get_model_name.return_value = \"gpt-4\"\n\n        mock_llm_instance = mock_openai.return_value\n        mock_chunk = MagicMock()\n        mock_chunk.choices = [MagicMock()]\n        mock_chunk.choices[0].delta.content = None\n        mock_chunk.choices[0].delta.reasoning_content = \"Some reasoning\"\n\n        mock_llm_instance.client = MagicMock()\n        mock_llm_instance.client.chat.completions.create.return_value = [mock_chunk]\n        mock_llm_instance._prepare_completion_kwargs.return_value = {}\n\n        result = call_llm_for_system_prompt(\n            1,\n            \"user prompt\",\n            \"system prompt\",\n        )\n\n        assert result == \"\"\n\n    def test_call_llm_for_system_prompt_with_thinking_tags(self, mocker: MockFixture):\n        \"\"\"Test call_llm_for_system_prompt with thinking tags\"\"\"\n        mock_get_model_by_id = mocker.patch('backend.utils.llm_utils.get_model_by_model_id')\n        mock_get_model_name = mocker.patch('backend.utils.llm_utils.get_model_name_from_config')\n        mock_openai = mocker.patch('backend.utils.llm_utils.OpenAIModel')\n\n        mock_get_model_by_id.return_value = {\"base_url\": \"http://example.com\", \"api_key\": \"fake-key\"}\n        mock_get_model_name.return_value = \"gpt-4\"\n\n        mock_llm_instance = mock_openai.return_value\n        mock_chunk1 = MagicMock()\n        mock_chunk1.choices = [MagicMock()]\n        mock_chunk1.choices[0].delta.content = \"Start \"\n        mock_chunk1.choices[0].delta.reasoning_content = None\n\n        mock_chunk2 = MagicMock()\n        mock_chunk2.choices = [MagicMock()]\n        mock_chunk2.choices[0].delta.content = \"<think>thinking</think>\"\n        mock_chunk2.choices[0].delta.reasoning_content = None\n\n        mock_chunk3 = MagicMock()\n        mock_chunk3.choices = [MagicMock()]\n        mock_chunk3.choices[0].delta.content = \" End\"\n        mock_chunk3.choices[0].delta.reasoning_content = None\n\n        mock_llm_instance.client = MagicMock()\n        mock_llm_instance.client.chat.completions.create.return_value = [\n            mock_chunk1,\n            mock_chunk2,\n            mock_chunk3,\n        ]\n        mock_llm_instance._prepare_completion_kwargs.return_value = {}\n\n        result = call_llm_for_system_prompt(\n            1,\n            \"user prompt\",\n            \"system prompt\",\n        )\n\n        # chunk1: \"Start \" -> added to token_join\n        # chunk2: \"<think>thinking</think>\" ->\n        #   end tag clears token_join (since is_thinking=False), new_token becomes \"\"\n        # chunk3: \" End\" -> added to token_join\n        # Final result should be \" End\" (chunk1 content was cleared by chunk2's end tag)\n        assert result == \" End\"\n\n    def test_call_llm_for_system_prompt_empty_result_with_tokens(self, mocker: MockFixture):\n        \"\"\"Test call_llm_for_system_prompt with empty result but processed tokens\"\"\"\n        mock_logger = mocker.patch('backend.utils.llm_utils.logger')\n        mock_get_model_by_id = mocker.patch('backend.utils.llm_utils.get_model_by_model_id')\n        mock_get_model_name = mocker.patch('backend.utils.llm_utils.get_model_name_from_config')\n        mock_openai = mocker.patch('backend.utils.llm_utils.OpenAIModel')\n\n        mock_get_model_by_id.return_value = {\"base_url\": \"http://example.com\", \"api_key\": \"fake-key\"}\n        mock_get_model_name.return_value = \"gpt-4\"\n\n        mock_llm_instance = mock_openai.return_value\n        mock_chunk = MagicMock()\n        mock_chunk.choices = [MagicMock()]\n        # Content that will be filtered out by thinking tags\n        mock_chunk.choices[0].delta.content = \"<think>all content</think>\"\n        mock_chunk.choices[0].delta.reasoning_content = None\n\n        mock_llm_instance.client = MagicMock()\n        mock_llm_instance.client.chat.completions.create.return_value = [mock_chunk]\n        mock_llm_instance._prepare_completion_kwargs.return_value = {}\n\n        result = call_llm_for_system_prompt(\n            1,\n            \"user prompt\",\n            \"system prompt\",\n        )\n\n        assert result == \"\"\n        # Verify warning was logged\n        mock_logger.warning.assert_called_once()\n        call_args = mock_logger.warning.call_args[0][0]\n        assert \"empty but\" in call_args\n        assert \"content tokens were processed\" in call_args\n\n    def test_call_llm_for_system_prompt_with_tenant_id(self, mocker: MockFixture):\n        \"\"\"Test call_llm_for_system_prompt with tenant_id\"\"\"\n        mock_get_model_by_id = mocker.patch('backend.utils.llm_utils.get_model_by_model_id')\n        mock_get_model_name = mocker.patch('backend.utils.llm_utils.get_model_name_from_config')\n        mock_openai = mocker.patch('backend.utils.llm_utils.OpenAIModel')\n\n        mock_get_model_by_id.return_value = {\"base_url\": \"http://example.com\", \"api_key\": \"fake-key\"}\n        mock_get_model_name.return_value = \"gpt-4\"\n\n        mock_llm_instance = mock_openai.return_value\n        mock_chunk = MagicMock()\n        mock_chunk.choices = [MagicMock()]\n        mock_chunk.choices[0].delta.content = \"Generated prompt\"\n\n        mock_llm_instance.client = MagicMock()\n        mock_llm_instance.client.chat.completions.create.return_value = [mock_chunk]\n        mock_llm_instance._prepare_completion_kwargs.return_value = {}\n\n        result = call_llm_for_system_prompt(\n            1,\n            \"user prompt\",\n            \"system prompt\",\n            tenant_id=\"test-tenant\",\n        )\n\n        assert result == \"Generated prompt\"\n        mock_get_model_by_id.assert_called_once_with(\n            model_id=1,\n            tenant_id=\"test-tenant\",\n        )\n\n    def test_call_llm_for_system_prompt_with_none_model_config(self, mocker: MockFixture):\n        \"\"\"Test call_llm_for_system_prompt with None model config\"\"\"\n        mock_get_model_by_id = mocker.patch('backend.utils.llm_utils.get_model_by_model_id')\n        mock_get_model_name = mocker.patch('backend.utils.llm_utils.get_model_name_from_config')\n        mock_openai = mocker.patch('backend.utils.llm_utils.OpenAIModel')\n\n        mock_get_model_by_id.return_value = None\n        mock_get_model_name.return_value = \"gpt-4\"\n\n        mock_llm_instance = mock_openai.return_value\n        mock_chunk = MagicMock()\n        mock_chunk.choices = [MagicMock()]\n        mock_chunk.choices[0].delta.content = \"Generated prompt\"\n\n        mock_llm_instance.client = MagicMock()\n        mock_llm_instance.client.chat.completions.create.return_value = [mock_chunk]\n        mock_llm_instance._prepare_completion_kwargs.return_value = {}\n\n        result = call_llm_for_system_prompt(\n            1,\n            \"user prompt\",\n            \"system prompt\",\n        )\n\n        assert result == \"Generated prompt\"\n        # Verify OpenAIModel was called with empty strings when model_config is None\n        mock_openai.assert_called_once_with(\n            model_id=\"\",\n            api_base=\"\",\n            api_key=\"\",\n            model_factory=None,\n            temperature=0.3,\n            top_p=0.95,\n            ssl_verify=True,\n        )\n\n    def test_call_llm_for_system_prompt_reasoning_content_logging(self, mocker: MockFixture):\n        \"\"\"Test call_llm_for_system_prompt logs when reasoning_content is received\"\"\"\n        mock_logger = mocker.patch('backend.utils.llm_utils.logger')\n        mock_get_model_by_id = mocker.patch('backend.utils.llm_utils.get_model_by_model_id')\n        mock_get_model_name = mocker.patch('backend.utils.llm_utils.get_model_name_from_config')\n        mock_openai = mocker.patch('backend.utils.llm_utils.OpenAIModel')\n\n        mock_get_model_by_id.return_value = {\"base_url\": \"http://example.com\", \"api_key\": \"fake-key\"}\n        mock_get_model_name.return_value = \"gpt-4\"\n\n        mock_llm_instance = mock_openai.return_value\n        mock_chunk = MagicMock()\n        mock_chunk.choices = [MagicMock()]\n        mock_chunk.choices[0].delta.content = \"Generated prompt\"\n        mock_chunk.choices[0].delta.reasoning_content = \"Some reasoning\"\n\n        mock_llm_instance.client = MagicMock()\n        mock_llm_instance.client.chat.completions.create.return_value = [mock_chunk]\n        mock_llm_instance._prepare_completion_kwargs.return_value = {}\n\n        result = call_llm_for_system_prompt(\n            1,\n            \"user prompt\",\n            \"system prompt\",\n        )\n\n        assert result == \"Generated prompt\"\n        # Verify debug log was called for reasoning_content\n        mock_logger.debug.assert_called_once()\n        call_args = mock_logger.debug.call_args[0][0]\n        assert \"reasoning_content\" in call_args\n\n    def test_call_llm_for_system_prompt_exception_logging(self, mocker: MockFixture):\n        \"\"\"Test call_llm_for_system_prompt exception handling and logging\"\"\"\n        mock_logger = mocker.patch('backend.utils.llm_utils.logger')\n        mock_get_model_by_id = mocker.patch('backend.utils.llm_utils.get_model_by_model_id')\n        mock_get_model_name = mocker.patch('backend.utils.llm_utils.get_model_name_from_config')\n        mock_openai = mocker.patch('backend.utils.llm_utils.OpenAIModel')\n\n        mock_get_model_by_id.return_value = {\"base_url\": \"http://example.com\", \"api_key\": \"fake-key\"}\n        mock_get_model_name.return_value = \"gpt-4\"\n\n        mock_llm_instance = mock_openai.return_value\n        mock_llm_instance.client = MagicMock()\n        mock_llm_instance.client.chat.completions.create.side_effect = Exception(\"LLM error\")\n        mock_llm_instance._prepare_completion_kwargs.return_value = {}\n\n        with pytest.raises(Exception) as exc_info:\n            call_llm_for_system_prompt(\n                1,\n                \"user prompt\",\n                \"system prompt\",\n            )\n\n        assert \"LLM error\" in str(exc_info.value)\n        # Verify error was logged\n        mock_logger.error.assert_called_once()\n        call_args = mock_logger.error.call_args[0][0]\n        assert \"Failed to generate prompt\" in call_args\n\n\nclass TestCallLLMForSystemPromptErrorHandling:\n    \"\"\"Tests for error handling in call_llm_for_system_prompt function.\"\"\"\n\n    def _create_mock_llm_setup(self, mocker: MockFixture):\n        \"\"\"Helper to setup common mocks for LLM error tests.\"\"\"\n        mock_get_model_by_id = mocker.patch('backend.utils.llm_utils.get_model_by_model_id')\n        mock_get_model_name = mocker.patch('backend.utils.llm_utils.get_model_name_from_config')\n        mock_openai = mocker.patch('backend.utils.llm_utils.OpenAIModel')\n\n        mock_get_model_by_id.return_value = {\"base_url\": \"http://example.com\", \"api_key\": \"fake-key\"}\n        mock_get_model_name.return_value = \"gpt-4\"\n\n        mock_llm_instance = mock_openai.return_value\n        mock_llm_instance._prepare_completion_kwargs.return_value = {}\n\n        return mock_llm_instance\n\n    def test_error_401_api_key_invalid(self, mocker: MockFixture):\n        \"\"\"Test error handling for 401 status code - API key invalid.\"\"\"\n        from consts.error_code import ErrorCode\n        from consts.exceptions import AppException\n\n        mock_llm_instance = self._create_mock_llm_setup(mocker)\n        mock_llm_instance.client.chat.completions.create.side_effect = Exception(\n            \"Error 401: Invalid API key\"\n        )\n\n        with pytest.raises(AppException) as exc_info:\n            call_llm_for_system_prompt(1, \"user prompt\", \"system prompt\")\n\n        assert exc_info.value.error_code == ErrorCode.MODEL_API_KEY_INVALID\n\n    def test_error_unauthorized_lowercase(self, mocker: MockFixture):\n        \"\"\"Test error handling for 'unauthorized' in error message.\"\"\"\n        from consts.error_code import ErrorCode\n        from consts.exceptions import AppException\n\n        mock_llm_instance = self._create_mock_llm_setup(mocker)\n        mock_llm_instance.client.chat.completions.create.side_effect = Exception(\n            \"Unauthorized access to the resource\"\n        )\n\n        with pytest.raises(AppException) as exc_info:\n            call_llm_for_system_prompt(1, \"user prompt\", \"system prompt\")\n\n        assert exc_info.value.error_code == ErrorCode.MODEL_API_KEY_INVALID\n\n    def test_error_api_key_in_message(self, mocker: MockFixture):\n        \"\"\"Test error handling for 'api key' in error message.\"\"\"\n        from consts.error_code import ErrorCode\n        from consts.exceptions import AppException\n\n        mock_llm_instance = self._create_mock_llm_setup(mocker)\n        mock_llm_instance.client.chat.completions.create.side_effect = Exception(\n            \"Invalid API key provided\"\n        )\n\n        with pytest.raises(AppException) as exc_info:\n            call_llm_for_system_prompt(1, \"user prompt\", \"system prompt\")\n\n        assert exc_info.value.error_code == ErrorCode.MODEL_API_KEY_INVALID\n\n    def test_error_403_forbidden(self, mocker: MockFixture):\n        \"\"\"Test error handling for 403 status code - no permission.\"\"\"\n        from consts.error_code import ErrorCode\n        from consts.exceptions import AppException\n\n        mock_llm_instance = self._create_mock_llm_setup(mocker)\n        mock_llm_instance.client.chat.completions.create.side_effect = Exception(\n            \"Error 403: Access forbidden\"\n        )\n\n        with pytest.raises(AppException) as exc_info:\n            call_llm_for_system_prompt(1, \"user prompt\", \"system prompt\")\n\n        assert exc_info.value.error_code == ErrorCode.MODEL_API_KEY_NO_PERMISSION\n\n    def test_error_forbidden_lowercase(self, mocker: MockFixture):\n        \"\"\"Test error handling for 'forbidden' in error message.\"\"\"\n        from consts.error_code import ErrorCode\n        from consts.exceptions import AppException\n\n        mock_llm_instance = self._create_mock_llm_setup(mocker)\n        mock_llm_instance.client.chat.completions.create.side_effect = Exception(\n            \"Request forbidden by the server\"\n        )\n\n        with pytest.raises(AppException) as exc_info:\n            call_llm_for_system_prompt(1, \"user prompt\", \"system prompt\")\n\n        assert exc_info.value.error_code == ErrorCode.MODEL_API_KEY_NO_PERMISSION\n\n    def test_error_404_not_found(self, mocker: MockFixture):\n        \"\"\"Test error handling for 404 status code - model not found.\"\"\"\n        from consts.error_code import ErrorCode\n        from consts.exceptions import AppException\n\n        mock_llm_instance = self._create_mock_llm_setup(mocker)\n        mock_llm_instance.client.chat.completions.create.side_effect = Exception(\n            \"Error 404: Model not found\"\n        )\n\n        with pytest.raises(AppException) as exc_info:\n            call_llm_for_system_prompt(1, \"user prompt\", \"system prompt\")\n\n        assert exc_info.value.error_code == ErrorCode.MODEL_NOT_FOUND\n\n    def test_error_not_found_lowercase(self, mocker: MockFixture):\n        \"\"\"Test error handling for 'not found' in error message.\"\"\"\n        from consts.error_code import ErrorCode\n        from consts.exceptions import AppException\n\n        mock_llm_instance = self._create_mock_llm_setup(mocker)\n        mock_llm_instance.client.chat.completions.create.side_effect = Exception(\n            \"The requested model was not found\"\n        )\n\n        with pytest.raises(AppException) as exc_info:\n            call_llm_for_system_prompt(1, \"user prompt\", \"system prompt\")\n\n        assert exc_info.value.error_code == ErrorCode.MODEL_NOT_FOUND\n\n    def test_error_429_rate_limit(self, mocker: MockFixture):\n        \"\"\"Test error handling for 429 status code - rate limit exceeded.\"\"\"\n        from consts.error_code import ErrorCode\n        from consts.exceptions import AppException\n\n        mock_llm_instance = self._create_mock_llm_setup(mocker)\n        mock_llm_instance.client.chat.completions.create.side_effect = Exception(\n            \"Error 429: Rate limit exceeded\"\n        )\n\n        with pytest.raises(AppException) as exc_info:\n            call_llm_for_system_prompt(1, \"user prompt\", \"system prompt\")\n\n        assert exc_info.value.error_code == ErrorCode.MODEL_RATE_LIMIT_EXCEEDED\n\n    def test_error_rate_limit_lowercase(self, mocker: MockFixture):\n        \"\"\"Test error handling for 'rate limit' in error message.\"\"\"\n        from consts.error_code import ErrorCode\n        from consts.exceptions import AppException\n\n        mock_llm_instance = self._create_mock_llm_setup(mocker)\n        mock_llm_instance.client.chat.completions.create.side_effect = Exception(\n            \"Too many requests, rate limit reached\"\n        )\n\n        with pytest.raises(AppException) as exc_info:\n            call_llm_for_system_prompt(1, \"user prompt\", \"system prompt\")\n\n        assert exc_info.value.error_code == ErrorCode.MODEL_RATE_LIMIT_EXCEEDED\n\n    def test_error_500_service_unavailable(self, mocker: MockFixture):\n        \"\"\"Test error handling for 500 status code - service unavailable.\"\"\"\n        from consts.error_code import ErrorCode\n        from consts.exceptions import AppException\n\n        mock_llm_instance = self._create_mock_llm_setup(mocker)\n        mock_llm_instance.client.chat.completions.create.side_effect = Exception(\n            \"Error 500: Internal server error\"\n        )\n\n        with pytest.raises(AppException) as exc_info:\n            call_llm_for_system_prompt(1, \"user prompt\", \"system prompt\")\n\n        assert exc_info.value.error_code == ErrorCode.MODEL_SERVICE_UNAVAILABLE\n\n    def test_error_502_service_unavailable(self, mocker: MockFixture):\n        \"\"\"Test error handling for 502 status code - bad gateway.\"\"\"\n        from consts.error_code import ErrorCode\n        from consts.exceptions import AppException\n\n        mock_llm_instance = self._create_mock_llm_setup(mocker)\n        mock_llm_instance.client.chat.completions.create.side_effect = Exception(\n            \"Error 502: Bad gateway\"\n        )\n\n        with pytest.raises(AppException) as exc_info:\n            call_llm_for_system_prompt(1, \"user prompt\", \"system prompt\")\n\n        assert exc_info.value.error_code == ErrorCode.MODEL_SERVICE_UNAVAILABLE\n\n    def test_error_503_service_unavailable(self, mocker: MockFixture):\n        \"\"\"Test error handling for 503 status code - service unavailable.\"\"\"\n        from consts.error_code import ErrorCode\n        from consts.exceptions import AppException\n\n        mock_llm_instance = self._create_mock_llm_setup(mocker)\n        mock_llm_instance.client.chat.completions.create.side_effect = Exception(\n            \"Error 503: Service temporarily unavailable\"\n        )\n\n        with pytest.raises(AppException) as exc_info:\n            call_llm_for_system_prompt(1, \"user prompt\", \"system prompt\")\n\n        assert exc_info.value.error_code == ErrorCode.MODEL_SERVICE_UNAVAILABLE\n\n    def test_error_504_service_unavailable(self, mocker: MockFixture):\n        \"\"\"Test error handling for 504 status code - gateway timeout.\"\"\"\n        from consts.error_code import ErrorCode\n        from consts.exceptions import AppException\n\n        mock_llm_instance = self._create_mock_llm_setup(mocker)\n        mock_llm_instance.client.chat.completions.create.side_effect = Exception(\n            \"Error 504: Gateway timeout\"\n        )\n\n        with pytest.raises(AppException) as exc_info:\n            call_llm_for_system_prompt(1, \"user prompt\", \"system prompt\")\n\n        assert exc_info.value.error_code == ErrorCode.MODEL_SERVICE_UNAVAILABLE\n\n    def test_error_connection_error(self, mocker: MockFixture):\n        \"\"\"Test error handling for connection error.\"\"\"\n        from consts.error_code import ErrorCode\n        from consts.exceptions import AppException\n\n        mock_llm_instance = self._create_mock_llm_setup(mocker)\n        mock_llm_instance.client.chat.completions.create.side_effect = Exception(\n            \"Connection error: Unable to reach the server\"\n        )\n\n        with pytest.raises(AppException) as exc_info:\n            call_llm_for_system_prompt(1, \"user prompt\", \"system prompt\")\n\n        assert exc_info.value.error_code == ErrorCode.MODEL_CONNECTION_ERROR\n\n    def test_error_timeout(self, mocker: MockFixture):\n        \"\"\"Test error handling for timeout error.\"\"\"\n        from consts.error_code import ErrorCode\n        from consts.exceptions import AppException\n\n        mock_llm_instance = self._create_mock_llm_setup(mocker)\n        mock_llm_instance.client.chat.completions.create.side_effect = Exception(\n            \"Request timeout occurred\"\n        )\n\n        with pytest.raises(AppException) as exc_info:\n            call_llm_for_system_prompt(1, \"user prompt\", \"system prompt\")\n\n        assert exc_info.value.error_code == ErrorCode.MODEL_CONNECTION_ERROR\n\n    def test_error_connection_refused(self, mocker: MockFixture):\n        \"\"\"Test error handling for connection refused error.\"\"\"\n        from consts.error_code import ErrorCode\n        from consts.exceptions import AppException\n\n        mock_llm_instance = self._create_mock_llm_setup(mocker)\n        mock_llm_instance.client.chat.completions.create.side_effect = Exception(\n            \"Connection refused by the server\"\n        )\n\n        with pytest.raises(AppException) as exc_info:\n            call_llm_for_system_prompt(1, \"user prompt\", \"system prompt\")\n\n        assert exc_info.value.error_code == ErrorCode.MODEL_CONNECTION_ERROR\n\n    def test_error_generic_unmapped_error(self, mocker: MockFixture):\n        \"\"\"Test error handling for generic unmapped errors.\"\"\"\n        from consts.error_code import ErrorCode\n        from consts.exceptions import AppException\n\n        mock_llm_instance = self._create_mock_llm_setup(mocker)\n        mock_llm_instance.client.chat.completions.create.side_effect = Exception(\n            \"Some unexpected error occurred\"\n        )\n\n        with pytest.raises(AppException) as exc_info:\n            call_llm_for_system_prompt(1, \"user prompt\", \"system prompt\")\n\n        assert exc_info.value.error_code == ErrorCode.MODEL_PROMPT_GENERATION_FAILED\n\n    def test_error_empty_message(self, mocker: MockFixture):\n        \"\"\"Test error handling for exception with empty message.\"\"\"\n        from consts.error_code import ErrorCode\n        from consts.exceptions import AppException\n\n        mock_llm_instance = self._create_mock_llm_setup(mocker)\n        mock_llm_instance.client.chat.completions.create.side_effect = Exception()\n\n        with pytest.raises(AppException) as exc_info:\n            call_llm_for_system_prompt(1, \"user prompt\", \"system prompt\")\n\n        assert exc_info.value.error_code == ErrorCode.MODEL_PROMPT_GENERATION_FAILED"
  },
  {
    "path": "test/backend/utils/test_memory_utils.py",
    "content": "import pytest\nimport sys\nfrom unittest.mock import patch, MagicMock\n\n# Setup common mocks\nfrom test.common.test_mocks import setup_common_mocks, patch_minio_client_initialization, mock_constants\n\n# Initialize common mocks\nmocks = setup_common_mocks()\n\n# Patch storage factory before importing\nwith patch_minio_client_initialization():\n    from backend.utils.memory_utils import build_memory_config\n\n\n@pytest.fixture\ndef mock_model_configs():\n    \"\"\"Fixture to provide mock model configurations\"\"\"\n    llm_config = {\n        \"model_name\": \"gpt-4\",\n        \"model_repo\": \"openai\",\n        \"base_url\": \"https://api.openai.com/v1\",\n        \"api_key\": \"test-llm-key\"\n    }\n    embedding_config = {\n        \"model_name\": \"text-embedding-ada-002\",\n        \"model_repo\": \"openai\",\n        \"base_url\": \"https://api.openai.com/v1\",\n        \"api_key\": \"test-embed-key\",\n        \"max_tokens\": 1536\n    }\n    return {\n        \"llm_config\": llm_config,\n        \"embedding_config\": embedding_config\n    }\n\n\n@pytest.fixture\ndef mock_tenant_config_manager():\n    \"\"\"Fixture to provide mock tenant config manager\"\"\"\n    return MagicMock()\n\n\nclass TestMemoryUtils:\n    \"\"\"Tests for backend.utils.memory_utils functions\"\"\"\n\n    def test_build_memory_config_success(self, mocker, mock_constants, mock_model_configs, mock_tenant_config_manager):\n        \"\"\"Builds a complete configuration successfully\"\"\"\n        # Use global fixtures for common mocks\n        mock_llm_config = mock_model_configs['llm_config']\n        mock_embed_config = mock_model_configs['embedding_config']\n\n        # Mock get_model_config return sequence\n        mock_tenant_config_manager.get_model_config.side_effect = [\n            mock_llm_config,  # LLM\n            mock_embed_config  # embedding\n        ]\n\n        # Mock get_model_name_from_config\n        mock_get_model_name = mocker.MagicMock()\n        mock_get_model_name.side_effect = [\n            \"openai/gpt-4\", \"openai/text-embedding-ada-002\"]\n\n        # Provide deterministic mapping for model config keys\n        model_mapping = {\"llm\": \"llm\", \"embedding\": \"embedding\"}\n\n        mocker.patch('backend.utils.memory_utils.tenant_config_manager',\n                     mock_tenant_config_manager)\n        mocker.patch('backend.utils.memory_utils._c', mock_constants)\n        mocker.patch(\n            'backend.utils.memory_utils.get_model_name_from_config', mock_get_model_name)\n        mocker.patch(\n            'backend.utils.memory_utils.MODEL_CONFIG_MAPPING', model_mapping)\n\n        # Execute\n        result = build_memory_config(\"test-tenant-id\")\n\n        # Structure\n        assert isinstance(result, dict)\n        assert \"llm\" in result\n        assert \"embedder\" in result\n        assert \"vector_store\" in result\n        assert \"telemetry\" in result\n\n        # LLM\n        assert result[\"llm\"][\"provider\"] == \"openai\"\n        assert result[\"llm\"][\"config\"][\"model\"] == \"openai/gpt-4\"\n        assert result[\"llm\"][\"config\"][\"openai_base_url\"] == \"https://api.openai.com/v1\"\n        assert result[\"llm\"][\"config\"][\"api_key\"] == \"test-llm-key\"\n\n        # Embedder\n        assert result[\"embedder\"][\"provider\"] == \"openai\"\n        assert result[\"embedder\"][\"config\"][\"model\"] == \"openai/text-embedding-ada-002\"\n        assert result[\"embedder\"][\"config\"][\"openai_base_url\"] == \"https://api.openai.com/v1\"\n        assert result[\"embedder\"][\"config\"][\"embedding_dims\"] == 1536\n        assert result[\"embedder\"][\"config\"][\"api_key\"] == \"test-embed-key\"\n\n        # Vector store\n        assert result[\"vector_store\"][\"provider\"] == \"elasticsearch\"\n        assert result[\"vector_store\"][\"config\"][\"collection_name\"] == \"mem0_openai_text-embedding-ada-002_1536\"\n        assert result[\"vector_store\"][\"config\"][\"host\"] == \"http://localhost\"\n        assert result[\"vector_store\"][\"config\"][\"port\"] == 9200\n        assert result[\"vector_store\"][\"config\"][\"embedding_model_dims\"] == 1536\n        assert result[\"vector_store\"][\"config\"][\"verify_certs\"] is False\n        assert result[\"vector_store\"][\"config\"][\"api_key\"] == \"test-es-key\"\n        assert result[\"vector_store\"][\"config\"][\"user\"] == \"elastic\"\n        assert result[\"vector_store\"][\"config\"][\"password\"] == \"test-password\"\n\n        # Telemetry\n        assert result[\"telemetry\"][\"enabled\"] is False\n\n        # Called for both models\n        assert mock_get_model_name.call_count == 2\n        mock_get_model_name.assert_any_call(mock_llm_config)\n        mock_get_model_name.assert_any_call(mock_embed_config)\n\n    def test_build_memory_config_missing_llm_config(self, mocker, mock_tenant_config_manager):\n        \"\"\"Raises when LLM config is missing\"\"\"\n        mock_tenant_config_manager.get_model_config.side_effect = [\n            None,  # LLM is None\n            {\"model_name\": \"test-embed\", \"max_tokens\": 1536}  # embedding present\n        ]\n\n        mocker.patch('backend.utils.memory_utils.tenant_config_manager',\n                     mock_tenant_config_manager)\n\n        # Should raise\n        with pytest.raises(ValueError) as exc_info:\n            build_memory_config(\"test-tenant-id\")\n\n        assert \"Missing LLM configuration for tenant\" in str(exc_info.value)\n\n    def test_build_memory_config_llm_config_missing_model_name(self, mocker):\n        \"\"\"Raises when LLM config lacks model_name\"\"\"\n        mock_tenant_config_manager = mocker.MagicMock()\n        mock_tenant_config_manager.get_model_config.side_effect = [\n            {\"api_key\": \"test-key\"},  # LLM missing model_name\n            {\"model_name\": \"test-embed\", \"max_tokens\": 1536}  # embedding present\n        ]\n\n        mocker.patch('backend.utils.memory_utils.tenant_config_manager',\n                     mock_tenant_config_manager)\n\n        # Should raise\n        with pytest.raises(ValueError) as exc_info:\n            build_memory_config(\"test-tenant-id\")\n\n        assert \"Missing LLM configuration for tenant\" in str(exc_info.value)\n\n    def test_build_memory_config_missing_embedding_config(self, mocker, mock_tenant_config_manager):\n        \"\"\"Raises when embedding config is missing\"\"\"\n        mock_tenant_config_manager.get_model_config.side_effect = [\n            {\"model_name\": \"test-llm\"},  # LLM present\n            None  # embedding is None\n        ]\n\n        mocker.patch('backend.utils.memory_utils.tenant_config_manager',\n                     mock_tenant_config_manager)\n\n        # Should raise\n        with pytest.raises(ValueError) as exc_info:\n            build_memory_config(\"test-tenant-id\")\n\n        assert \"Missing embedding-model configuration for tenant\" in str(\n            exc_info.value)\n\n    def test_build_memory_config_embedding_config_missing_max_tokens(self, mocker):\n        \"\"\"Raises when embedding config lacks max_tokens\"\"\"\n        mock_tenant_config_manager = mocker.MagicMock()\n        mock_tenant_config_manager.get_model_config.side_effect = [\n            {\"model_name\": \"test-llm\"},  # LLM present\n            {\"model_name\": \"test-embed\"}  # embedding missing max_tokens\n        ]\n\n        mocker.patch('backend.utils.memory_utils.tenant_config_manager',\n                     mock_tenant_config_manager)\n\n        # Should raise\n        with pytest.raises(ValueError) as exc_info:\n            build_memory_config(\"test-tenant-id\")\n\n        assert \"Missing embedding-model configuration for tenant\" in str(\n            exc_info.value)\n\n    def test_build_memory_config_missing_es_host(self, mocker):\n        \"\"\"Raises when ES_HOST is missing\"\"\"\n        mock_tenant_config_manager = mocker.MagicMock()\n        mock_tenant_config_manager.get_model_config.side_effect = [\n            {\"model_name\": \"test-llm\"},\n            {\"model_name\": \"test-embed\", \"max_tokens\": 1536}\n        ]\n\n        mock_const = mocker.MagicMock()\n        mock_const.ES_HOST = None  # ES_HOST is None\n\n        mocker.patch('backend.utils.memory_utils.tenant_config_manager',\n                     mock_tenant_config_manager)\n        mocker.patch('backend.utils.memory_utils._c', mock_const)\n\n        # Should raise\n        with pytest.raises(ValueError) as exc_info:\n            build_memory_config(\"test-tenant-id\")\n\n        assert \"ES_HOST is not configured\" in str(exc_info.value)\n\n    def test_build_memory_config_invalid_es_host_format(self, mocker):\n        \"\"\"Raises when ES_HOST format is invalid\"\"\"\n        mock_tenant_config_manager = mocker.MagicMock()\n        mock_tenant_config_manager.get_model_config.side_effect = [\n            {\"model_name\": \"test-llm\"},\n            {\"model_name\": \"test-embed\", \"max_tokens\": 1536}\n        ]\n\n        mock_const = mocker.MagicMock()\n        mock_const.ES_HOST = \"invalid-host\"  # invalid format\n\n        mocker.patch('backend.utils.memory_utils.tenant_config_manager',\n                     mock_tenant_config_manager)\n        mocker.patch('backend.utils.memory_utils._c', mock_const)\n\n        # Should raise\n        with pytest.raises(ValueError) as exc_info:\n            build_memory_config(\"test-tenant-id\")\n\n        assert \"ES_HOST must include scheme, host and port\" in str(\n            exc_info.value)\n\n    def test_build_memory_config_es_host_missing_scheme(self, mocker):\n        \"\"\"Raises when ES_HOST is missing scheme\"\"\"\n        mock_tenant_config_manager = mocker.MagicMock()\n        mock_tenant_config_manager.get_model_config.side_effect = [\n            {\"model_name\": \"test-llm\"},\n            {\"model_name\": \"test-embed\", \"max_tokens\": 1536}\n        ]\n\n        mock_const = mocker.MagicMock()\n        mock_const.ES_HOST = \"localhost:9200\"  # missing scheme\n\n        mocker.patch('backend.utils.memory_utils.tenant_config_manager',\n                     mock_tenant_config_manager)\n        mocker.patch('backend.utils.memory_utils._c', mock_const)\n\n        # Should raise\n        with pytest.raises(ValueError) as exc_info:\n            build_memory_config(\"test-tenant-id\")\n\n        assert \"ES_HOST must include scheme, host and port\" in str(\n            exc_info.value)\n\n    def test_build_memory_config_es_host_missing_port(self, mocker):\n        \"\"\"Raises when ES_HOST is missing port\"\"\"\n        mock_tenant_config_manager = mocker.MagicMock()\n        mock_tenant_config_manager.get_model_config.side_effect = [\n            {\"model_name\": \"test-llm\"},\n            {\"model_name\": \"test-embed\", \"max_tokens\": 1536}\n        ]\n\n        mock_const = mocker.MagicMock()\n        mock_const.ES_HOST = \"http://localhost\"  # missing port\n\n        mocker.patch('backend.utils.memory_utils.tenant_config_manager',\n                     mock_tenant_config_manager)\n        mocker.patch('backend.utils.memory_utils._c', mock_const)\n\n        # Should raise\n        with pytest.raises(ValueError) as exc_info:\n            build_memory_config(\"test-tenant-id\")\n\n        assert \"ES_HOST must include scheme, host and port\" in str(\n            exc_info.value)\n\n    def test_build_memory_config_with_https_es_host(self, mocker):\n        \"\"\"HTTPS ES_HOST is parsed correctly and collection name composes\"\"\"\n        mock_tenant_config_manager = mocker.MagicMock()\n        mock_tenant_config_manager.get_model_config.side_effect = [\n            {\"model_name\": \"test-llm\", \"model_repo\": \"openai\",\n                \"base_url\": \"https://api.openai.com/v1\", \"api_key\": \"test-llm-key\"},\n            {\"model_name\": \"test-embed\", \"model_repo\": \"openai\",\n                \"base_url\": \"https://api.openai.com/v1\", \"api_key\": \"test-embed-key\", \"max_tokens\": 1536}\n        ]\n\n        mock_const = mocker.MagicMock()\n        mock_const.ES_HOST = \"https://elastic.example.com:9200\"\n        mock_const.ES_API_KEY = \"test-es-key\"\n        mock_const.ES_USERNAME = \"elastic\"\n        mock_const.ES_PASSWORD = \"test-password\"\n\n        mock_get_model_name = mocker.MagicMock()\n        mock_get_model_name.side_effect = [\n            \"openai/test-llm\", \"openai/test-embed\"]\n\n        model_mapping = {\"llm\": \"llm\", \"embedding\": \"embedding\"}\n        mocker.patch('backend.utils.memory_utils.tenant_config_manager',\n                     mock_tenant_config_manager)\n        mocker.patch('backend.utils.memory_utils._c', mock_const)\n        mocker.patch(\n            'backend.utils.memory_utils.get_model_name_from_config', mock_get_model_name)\n        mocker.patch(\n            'backend.utils.memory_utils.MODEL_CONFIG_MAPPING', model_mapping)\n\n        # Execute\n        result = build_memory_config(\"test-tenant-id\")\n\n        # ES fields\n        assert result[\"vector_store\"][\"config\"][\"host\"] == \"https://elastic.example.com\"\n        assert result[\"vector_store\"][\"config\"][\"port\"] == 9200\n        assert result[\"vector_store\"][\"config\"][\"collection_name\"] == \"mem0_openai_test-embed_1536\"\n\n    def test_build_memory_config_with_custom_port(self, mocker):\n        \"\"\"Custom ES port is parsed and applied; collection name composed\"\"\"\n        mock_tenant_config_manager = mocker.MagicMock()\n        mock_tenant_config_manager.get_model_config.side_effect = [\n            {\"model_name\": \"test-llm\", \"model_repo\": \"openai\",\n                \"base_url\": \"https://api.openai.com/v1\", \"api_key\": \"test-llm-key\"},\n            {\"model_name\": \"test-embed\", \"model_repo\": \"openai\",\n                \"base_url\": \"https://api.openai.com/v1\", \"api_key\": \"test-embed-key\", \"max_tokens\": 1536}\n        ]\n\n        mock_const = mocker.MagicMock()\n        mock_const.ES_HOST = \"http://localhost:9300\"  # custom port\n        mock_const.ES_API_KEY = \"test-es-key\"\n        mock_const.ES_USERNAME = \"elastic\"\n        mock_const.ES_PASSWORD = \"test-password\"\n\n        mock_get_model_name = mocker.MagicMock()\n        mock_get_model_name.side_effect = [\n            \"openai/test-llm\", \"openai/test-embed\"]\n\n        model_mapping = {\"llm\": \"llm\", \"embedding\": \"embedding\"}\n        mocker.patch('backend.utils.memory_utils.tenant_config_manager',\n                     mock_tenant_config_manager)\n        mocker.patch('backend.utils.memory_utils._c', mock_const)\n        mocker.patch(\n            'backend.utils.memory_utils.get_model_name_from_config', mock_get_model_name)\n        mocker.patch(\n            'backend.utils.memory_utils.MODEL_CONFIG_MAPPING', model_mapping)\n\n        # Execute\n        result = build_memory_config(\"test-tenant-id\")\n\n        # ES fields\n        assert result[\"vector_store\"][\"config\"][\"host\"] == \"http://localhost\"\n        assert result[\"vector_store\"][\"config\"][\"port\"] == 9300\n        assert result[\"vector_store\"][\"config\"][\"collection_name\"] == \"mem0_openai_test-embed_1536\"\n\n    def test_build_memory_config_sanitizes_slashes_in_repo_and_name(self, mocker):\n        \"\"\"Slash characters in repo/name are replaced with underscores in collection name\"\"\"\n        mock_tenant_config_manager = mocker.MagicMock()\n        mock_tenant_config_manager.get_model_config.side_effect = [\n            {\"model_name\": \"gpt-4\", \"model_repo\": \"azure/openai\",\n                \"base_url\": \"https://api.example.com/v1\", \"api_key\": \"llm-key\"},\n            {\"model_name\": \"text-embed/ada-002\", \"model_repo\": \"azure/openai\",\n                \"base_url\": \"https://api.example.com/v1\", \"api_key\": \"embed-key\", \"max_tokens\": 1536}\n        ]\n\n        mock_const = mocker.MagicMock()\n        mock_const.ES_HOST = \"http://localhost:9200\"\n        mock_const.ES_API_KEY = \"test-es-key\"\n        mock_const.ES_USERNAME = \"elastic\"\n        mock_const.ES_PASSWORD = \"test-password\"\n\n        model_mapping = {\"llm\": \"llm\", \"embedding\": \"embedding\"}\n        mock_get_model_name = mocker.MagicMock()\n        mock_get_model_name.side_effect = [\n            \"azure/openai/gpt-4\", \"azure/openai/text-embed/ada-002\"]\n\n        mocker.patch('backend.utils.memory_utils.tenant_config_manager',\n                     mock_tenant_config_manager)\n        mocker.patch('backend.utils.memory_utils._c', mock_const)\n        mocker.patch(\n            'backend.utils.memory_utils.get_model_name_from_config', mock_get_model_name)\n        mocker.patch(\n            'backend.utils.memory_utils.MODEL_CONFIG_MAPPING', model_mapping)\n\n        result = build_memory_config(\"tenant-with-slash\")\n\n        assert result[\"vector_store\"][\"config\"][\"collection_name\"] == \"mem0_azure_openai_text-embed_ada-002_1536\"\n\n    def test_build_memory_config_with_empty_model_repo(self, mocker):\n        \"\"\"Empty model_repo yields collection name without repo segment\"\"\"\n        mock_tenant_config_manager = mocker.MagicMock()\n        mock_tenant_config_manager.get_model_config.side_effect = [\n            {\"model_name\": \"gpt-4\", \"model_repo\": \"\",\n                \"base_url\": \"https://api.openai.com/v1\", \"api_key\": \"test-llm-key\"},\n            {\"model_name\": \"text-embedding-ada-002\", \"model_repo\": \"\",\n                \"base_url\": \"https://api.openai.com/v1\", \"api_key\": \"test-embed-key\", \"max_tokens\": 1536}\n        ]\n\n        mock_const = mocker.MagicMock()\n        mock_const.ES_HOST = \"http://localhost:9200\"\n        mock_const.ES_API_KEY = \"test-es-key\"\n        mock_const.ES_USERNAME = \"elastic\"\n        mock_const.ES_PASSWORD = \"test-password\"\n\n        mock_get_model_name = mocker.MagicMock()\n        mock_get_model_name.side_effect = [\n            \"gpt-4\", \"text-embedding-ada-002\"]  # no repo prefix\n\n        model_mapping = {\"llm\": \"llm\", \"embedding\": \"embedding\"}\n        mocker.patch('backend.utils.memory_utils.tenant_config_manager',\n                     mock_tenant_config_manager)\n        mocker.patch('backend.utils.memory_utils._c', mock_const)\n        mocker.patch(\n            'backend.utils.memory_utils.get_model_name_from_config', mock_get_model_name)\n        mocker.patch(\n            'backend.utils.memory_utils.MODEL_CONFIG_MAPPING', model_mapping)\n\n        # Execute\n        result = build_memory_config(\"test-tenant-id\")\n\n        # Model names\n        assert result[\"llm\"][\"config\"][\"model\"] == \"gpt-4\"\n        assert result[\"embedder\"][\"config\"][\"model\"] == \"text-embedding-ada-002\"\n        # Collection name omits empty repo segment\n        assert result[\"vector_store\"][\"config\"][\"collection_name\"] == \"mem0_text-embedding-ada-002_1536\"\n"
  },
  {
    "path": "test/backend/utils/test_model_name_utils.py",
    "content": "import pytest\nimport sys\nimport os\n\n# Add the project root to the Python path\nsys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), '../../../')))\n\nfrom backend.utils.model_name_utils import split_repo_name, add_repo_to_name, split_display_name, sort_models_by_id\n\nclass TestModelNameUtils:\n    \"\"\"Test cases for model_name_utils.py\"\"\"\n\n    def test_split_repo_name(self):\n        \"\"\"Test the split_repo_name function\"\"\"\n        assert split_repo_name(\"THUDM/chatglm3-6b\") == (\"THUDM\", \"chatglm3-6b\")\n        assert split_repo_name(\"Pro/THUDM/GLM-4.1V-9B-Thinking\") == (\"Pro/THUDM\", \"GLM-4.1V-9B-Thinking\")\n        assert split_repo_name(\"chatglm3-6b\") == (\"\", \"chatglm3-6b\")\n        assert split_repo_name(\"\") == (\"\", \"\")\n\n    def test_add_repo_to_name(self, caplog):\n        \"\"\"Test the add_repo_to_name function\"\"\"\n        assert add_repo_to_name(\"THUDM\", \"chatglm3-6b\") == \"THUDM/chatglm3-6b\"\n        assert add_repo_to_name(\"\", \"chatglm3-6b\") == \"chatglm3-6b\"\n        # Test case where model_name already contains a slash, should return model_name\n        with caplog.at_level('WARNING'):\n            result = add_repo_to_name(\"THUDM\", \"THUDM/chatglm3-6b\")\n            assert result == \"THUDM/chatglm3-6b\"\n            assert \"already contains repository information\" in caplog.text\n\n    def test_split_display_name(self):\n        \"\"\"Test the split_display_name function\"\"\"\n        assert split_display_name(\"chatglm3-6b\") == \"chatglm3-6b\"\n        assert split_display_name(\"THUDM/chatglm3-6b\") == \"chatglm3-6b\"\n        assert split_display_name(\"Pro/THUDM/GLM-4.1V-9B-Thinking\") == \"Pro/GLM-4.1V-9B-Thinking\"\n        assert split_display_name(\"Pro/moonshotai/Kimi-K2-Instruct\") == \"Pro/Kimi-K2-Instruct\"\n        assert split_display_name(\"Pro/Qwen/Qwen2-7B-Instruct\") == \"Pro/Qwen2-7B-Instruct\"\n        assert split_display_name(\"A/B/C/D\") == \"A/D\"\n        assert split_display_name(\"\") == \"\"\n\n    def test_sort_models_by_id(self):\n        \"\"\"Test the sort_models_by_id function\"\"\"\n        # Test case 1: Normal list of dictionaries with id field\n        models = [\n            {\"id\": \"chatglm3-6b\", \"name\": \"ChatGLM3-6B\"},\n            {\"id\": \"qwen2-7b\", \"name\": \"Qwen2-7B\"},\n            {\"id\": \"baichuan2-7b\", \"name\": \"Baichuan2-7B\"},\n            {\"id\": \"llama2-7b\", \"name\": \"Llama2-7B\"}\n        ]\n        sorted_models = sort_models_by_id(models)\n        expected_order = [\"baichuan2-7b\", \"chatglm3-6b\", \"llama2-7b\", \"qwen2-7b\"]\n        actual_order = [model[\"id\"] for model in sorted_models]\n        assert actual_order == expected_order\n\n        # Test case 2: List with mixed case IDs\n        models_mixed_case = [\n            {\"id\": \"ChatGLM3-6B\", \"name\": \"ChatGLM3-6B\"},\n            {\"id\": \"qwen2-7b\", \"name\": \"Qwen2-7B\"},\n            {\"id\": \"Baichuan2-7B\", \"name\": \"Baichuan2-7B\"},\n            {\"id\": \"llama2-7b\", \"name\": \"Llama2-7B\"}\n        ]\n        sorted_mixed = sort_models_by_id(models_mixed_case)\n        expected_mixed_order = [\"Baichuan2-7B\", \"ChatGLM3-6B\", \"llama2-7b\", \"qwen2-7b\"]\n        actual_mixed_order = [model[\"id\"] for model in sorted_mixed]\n        assert actual_mixed_order == expected_mixed_order\n\n        # Test case 3: List with empty or None IDs\n        models_with_empty = [\n            {\"id\": \"\", \"name\": \"Empty Model\"},\n            {\"id\": \"chatglm3-6b\", \"name\": \"ChatGLM3-6B\"},\n            {\"id\": None, \"name\": \"None Model\"},\n            {\"id\": \"qwen2-7b\", \"name\": \"Qwen2-7B\"}\n        ]\n        sorted_empty = sort_models_by_id(models_with_empty)\n        # Empty and None IDs should be sorted first (empty string)\n        expected_empty_order = [\"\", None, \"chatglm3-6b\", \"qwen2-7b\"]\n        actual_empty_order = [model[\"id\"] for model in sorted_empty]\n        assert actual_empty_order == expected_empty_order\n\n        # Test case 4: Empty list\n        empty_list = []\n        sorted_empty_list = sort_models_by_id(empty_list)\n        assert sorted_empty_list == []\n\n        # Test case 5: Non-list input (should return as-is)\n        non_list = \"not a list\"\n        result = sort_models_by_id(non_list)\n        assert result == non_list\n\n        # Test case 6: List with non-dict items\n        mixed_list = [\n            {\"id\": \"chatglm3-6b\", \"name\": \"ChatGLM3-6B\"},\n            \"string_item\",\n            {\"id\": \"qwen2-7b\", \"name\": \"Qwen2-7B\"},\n            123\n        ]\n        sorted_mixed = sort_models_by_id(mixed_list)\n        # Should handle non-dict items gracefully\n        assert len(sorted_mixed) == 4\n"
  },
  {
    "path": "test/backend/utils/test_monitoring.py",
    "content": "\"\"\"\nUnit tests for backend monitoring utilities.\n\nTests the actual functionality and integration of the monitoring system.\n\"\"\"\n\nimport pytest\nfrom unittest.mock import MagicMock\nfrom backend.utils.monitoring import monitoring_manager\n\n\nclass TestMonitoringUtilsModule:\n    \"\"\"Test backend monitoring utilities module functionality.\"\"\"\n\n    def test_monitoring_manager_exists(self):\n        \"\"\"Test that monitoring_manager is properly exported.\"\"\"\n        assert monitoring_manager is not None\n        assert hasattr(monitoring_manager, 'configure')\n        assert hasattr(monitoring_manager, 'monitor_endpoint')\n        assert hasattr(monitoring_manager, 'monitor_llm_call')\n\n    def test_monitoring_manager_methods_callable(self):\n        \"\"\"Test that monitoring manager methods are callable.\"\"\"\n        # These should not raise exceptions when called\n        monitoring_manager.add_span_event(\"test_event\")\n        monitoring_manager.set_span_attributes(key=\"value\")\n        monitoring_manager.record_llm_metrics(\"ttft\", 0.5, {})\n\n        # Property access should work\n        is_enabled = monitoring_manager.is_enabled\n        assert isinstance(is_enabled, bool)\n\n    def test_monitoring_manager_decorators(self):\n        \"\"\"Test that monitoring decorators work.\"\"\"\n        @monitoring_manager.monitor_endpoint(\"test_operation\")\n        def test_function():\n            return {\"result\": \"success\"}\n\n        # Function should work normally\n        result = test_function()\n        assert result == {\"result\": \"success\"}\n\n    def test_monitoring_manager_llm_decorator(self):\n        \"\"\"Test that LLM monitoring decorator works.\"\"\"\n        @monitoring_manager.monitor_llm_call(\"test_model\")\n        def test_llm_function(**kwargs):\n            # Should handle the _token_tracker kwarg\n            return {\"result\": \"llm_success\"}\n\n        # Function should work normally\n        result = test_llm_function()\n        assert result == {\"result\": \"llm_success\"}\n\n    def test_monitoring_manager_context_manager(self):\n        \"\"\"Test that monitoring context manager works.\"\"\"\n        with monitoring_manager.trace_llm_request(\"test_op\", \"test_model\") as span:\n            # Should work whether span is None or a real span\n            pass\n\n    def test_token_tracker_creation(self):\n        \"\"\"Test that token tracker can be created.\"\"\"\n        tracker = monitoring_manager.create_token_tracker(\"test_model\")\n        assert tracker is not None\n\n        # Should be able to call methods without errors\n        tracker.record_first_token()\n        tracker.record_token(\"test_token\")\n        tracker.record_completion(input_tokens=10, output_tokens=15)\n\n    def test_fastapi_app_setup(self):\n        \"\"\"Test FastAPI app setup functionality.\"\"\"\n        mock_app = MagicMock()\n\n        # Should return a boolean and not raise exceptions\n        result = monitoring_manager.setup_fastapi_app(mock_app)\n        assert isinstance(result, bool)\n\n        # Should handle None app gracefully\n        result = monitoring_manager.setup_fastapi_app(None)\n        assert result is False\n\n    def test_configuration_methods(self):\n        \"\"\"Test configuration-related methods.\"\"\"\n        from sdk.nexent.monitor.monitoring import MonitoringConfig\n\n        # Should be able to configure without errors\n        config = MonitoringConfig(\n            enable_telemetry=False,\n            service_name=\"test-service\"\n        )\n\n        # Should not raise exceptions\n        monitoring_manager.configure(config)\n\n    def test_error_resilience(self):\n        \"\"\"Test that monitoring handles errors gracefully.\"\"\"\n        # These should not raise exceptions even if monitoring has issues\n        try:\n            monitoring_manager.add_span_event(\"test_event\", {\"key\": \"value\"})\n            monitoring_manager.set_span_attributes(test_attr=\"test_value\")\n            monitoring_manager.record_llm_metrics(\n                \"token_rate\", 10.0, {\"model\": \"test\"})\n        except Exception as e:\n            pytest.fail(\n                f\"Monitoring methods should handle errors gracefully: {e}\")\n\n    def test_complex_decorator_scenario(self):\n        \"\"\"Test complex decorator usage scenarios.\"\"\"\n        @monitoring_manager.monitor_endpoint(\"complex_operation\", exclude_params=[\"password\"])\n        async def async_function(username, password, debug=False):\n            return {\"username\": username, \"debug\": debug}\n\n        @monitoring_manager.monitor_endpoint(\"sync_operation\")\n        def sync_function(data):\n            return {\"processed\": data}\n\n        # Both should work\n        import asyncio\n        result1 = asyncio.run(async_function(\"user1\", \"secret\", debug=True))\n        assert result1[\"username\"] == \"user1\"\n        assert result1[\"debug\"] is True\n\n        result2 = sync_function(\"test_data\")\n        assert result2[\"processed\"] == \"test_data\"\n\n    def test_monitoring_with_exceptions(self):\n        \"\"\"Test monitoring behavior when decorated functions raise exceptions.\"\"\"\n        @monitoring_manager.monitor_endpoint(\"error_operation\")\n        def error_function():\n            raise ValueError(\"Test error\")\n\n        # Exception should be propagated\n        with pytest.raises(ValueError, match=\"Test error\"):\n            error_function()\n\n    def test_module_attributes(self):\n        \"\"\"Test that the module has correct attributes.\"\"\"\n        import backend.utils.monitoring as monitoring_module\n\n        # Should have monitoring_manager\n        assert hasattr(monitoring_module, 'monitoring_manager')\n\n        # Should have __all__ export list\n        assert hasattr(monitoring_module, '__all__')\n        assert 'monitoring_manager' in monitoring_module.__all__\n\n    def test_singleton_behavior(self):\n        \"\"\"Test that monitoring manager maintains singleton behavior.\"\"\"\n        from backend.utils.monitoring import monitoring_manager as manager1\n        from backend.utils.monitoring import monitoring_manager as manager2\n\n        # Should be the same instance\n        assert manager1 is manager2\n\n    def test_edge_case_parameters(self):\n        \"\"\"Test monitoring with edge case parameters.\"\"\"\n        # Empty strings\n        monitoring_manager.add_span_event(\"\")\n        monitoring_manager.set_span_attributes()\n\n        # Large data\n        large_data = {\"key\": \"x\" * 1000}\n        monitoring_manager.add_span_event(\"large_event\", large_data)\n\n        # None values\n        monitoring_manager.add_span_event(\"none_test\", None)\n\n    def test_concurrent_usage(self):\n        \"\"\"Test concurrent usage of monitoring manager.\"\"\"\n        import threading\n\n        results = []\n\n        def worker():\n            try:\n                monitoring_manager.add_span_event(\"concurrent_test\")\n                monitoring_manager.set_span_attributes(\n                    worker_id=threading.current_thread().ident)\n                results.append(\"success\")\n            except Exception as e:\n                results.append(f\"error: {e}\")\n\n        threads = [threading.Thread(target=worker) for _ in range(5)]\n\n        for t in threads:\n            t.start()\n        for t in threads:\n            t.join()\n\n        # All workers should complete successfully\n        assert len(results) == 5\n        assert all(r == \"success\" for r in results)\n\n    def test_decorator_parameter_filtering(self):\n        \"\"\"Test that parameter filtering works in decorators.\"\"\"\n        @monitoring_manager.monitor_endpoint(\"param_filter_test\", exclude_params=[\"secret\"])\n        def function_with_secrets(public_data, secret, debug=True):\n            return {\"public\": public_data, \"debug\": debug}\n\n        # Should work without exposing secret parameter\n        result = function_with_secrets(\"visible\", \"hidden\", debug=False)\n        assert result[\"public\"] == \"visible\"\n        assert result[\"debug\"] is False\n\n    def test_llm_decorator_with_token_tracker(self):\n        \"\"\"Test LLM decorator properly handles token tracker parameter.\"\"\"\n        @monitoring_manager.monitor_llm_call(\"gpt-4\")\n        def mock_llm_call(**kwargs):\n            # Should receive _token_tracker parameter\n            assert \"_token_tracker\" in kwargs\n            token_tracker = kwargs[\"_token_tracker\"]\n\n            # Should be able to use token tracker (may be None when disabled)\n            if token_tracker:\n                token_tracker.record_first_token()\n                token_tracker.record_token(\"test\")\n                token_tracker.record_completion(10, 5)\n\n            return \"LLM response\"\n\n        result = mock_llm_call()\n        assert result == \"LLM response\"\n\n    def test_context_manager_error_handling(self):\n        \"\"\"Test context manager handles errors properly.\"\"\"\n        try:\n            with monitoring_manager.trace_llm_request(\"error_op\", \"test_model\") as span:\n                # Should be able to work with span even if it's None\n                if span:\n                    span.set_attribute(\"test\", \"value\")\n                # Raise an error to test error handling\n                raise RuntimeError(\"Test error in context\")\n        except RuntimeError:\n            # Error should be properly propagated\n            pass\n\n    def test_metrics_recording_all_types(self):\n        \"\"\"Test all types of metrics recording.\"\"\"\n        # Should handle different metric types\n        monitoring_manager.record_llm_metrics(\"ttft\", 0.5, {\"model\": \"test\"})\n        monitoring_manager.record_llm_metrics(\n            \"token_rate\", 10.5, {\"model\": \"test\"})\n        monitoring_manager.record_llm_metrics(\n            \"tokens\", 100, {\"model\": \"test\", \"type\": \"input\"})\n        monitoring_manager.record_llm_metrics(\n            \"unknown_type\", 42, {\"model\": \"test\"})\n\n    def test_get_current_span(self):\n        \"\"\"Test getting current span functionality.\"\"\"\n        span = monitoring_manager.get_current_span()\n        # Should return None when monitoring is disabled or no active span\n        # Should not raise an exception\n"
  },
  {
    "path": "test/backend/utils/test_prompt_template_utils.py",
    "content": "import pytest\nfrom unittest.mock import mock_open\n\nfrom utils.prompt_template_utils import get_agent_prompt_template, get_prompt_generate_prompt_template\n\n\nclass TestPromptTemplateUtils:\n    \"\"\"Test cases for prompt_template_utils module\"\"\"\n\n    def test_get_agent_prompt_template_manager_zh(self, mocker):\n        \"\"\"Test get_agent_prompt_template for manager mode in Chinese\"\"\"\n        mock_yaml_load = mocker.patch('yaml.safe_load')\n        mock_file = mocker.patch('builtins.open', mock_open(read_data='{\"test\": \"data\"}'))\n\n        mock_yaml_load.return_value = {\"test\": \"data\"}\n        result = get_agent_prompt_template(is_manager=True, language='zh')\n\n        # Verify the function was called with correct parameters\n        # The actual path will be an absolute path, so we check that it contains the expected relative path\n        call_args = mock_file.call_args[0]\n        assert 'backend/prompts/manager_system_prompt_template_zh.yaml' in call_args[0].replace('\\\\', '/')\n        assert call_args[1] == 'r'\n        assert mock_file.call_args[1]['encoding'] == 'utf-8'\n        mock_yaml_load.assert_called_once()\n        assert result == {\"test\": \"data\"}\n\n    def test_get_agent_prompt_template_manager_en(self, mocker):\n        \"\"\"Test get_agent_prompt_template for manager mode in English\"\"\"\n        mock_yaml_load = mocker.patch('yaml.safe_load')\n        mock_file = mocker.patch('builtins.open', mock_open(read_data='{\"test\": \"data\"}'))\n\n        mock_yaml_load.return_value = {\"test\": \"data\"}\n        result = get_agent_prompt_template(is_manager=True, language='en')\n\n        # Verify the function was called with correct parameters\n        # The actual path will be an absolute path, so we check that it ends with the expected relative path\n        call_args = mock_file.call_args[0]\n        assert 'backend/prompts/manager_system_prompt_template_en.yaml' in call_args[0].replace('\\\\', '/')\n        assert call_args[1] == 'r'\n        assert mock_file.call_args[1]['encoding'] == 'utf-8'\n        mock_yaml_load.assert_called_once()\n        assert result == {\"test\": \"data\"}\n\n    def test_get_agent_prompt_template_managed_zh(self, mocker):\n        \"\"\"Test get_agent_prompt_template for managed mode in Chinese\"\"\"\n        mock_yaml_load = mocker.patch('yaml.safe_load')\n        mock_file = mocker.patch('builtins.open', mock_open(read_data='{\"test\": \"data\"}'))\n\n        mock_yaml_load.return_value = {\"test\": \"data\"}\n        result = get_agent_prompt_template(is_manager=False, language='zh')\n\n        # Verify the function was called with correct parameters\n        # The actual path will be an absolute path, so we check that it ends with the expected relative path\n        call_args = mock_file.call_args[0]\n        assert 'backend/prompts/managed_system_prompt_template_zh.yaml' in call_args[0].replace('\\\\', '/')\n        assert call_args[1] == 'r'\n        assert mock_file.call_args[1]['encoding'] == 'utf-8'\n        mock_yaml_load.assert_called_once()\n        assert result == {\"test\": \"data\"}\n\n    def test_get_agent_prompt_template_managed_en(self, mocker):\n        \"\"\"Test get_agent_prompt_template for managed mode in English\"\"\"\n        mock_yaml_load = mocker.patch('yaml.safe_load')\n        mock_file = mocker.patch('builtins.open', mock_open(read_data='{\"test\": \"data\"}'))\n\n        mock_yaml_load.return_value = {\"test\": \"data\"}\n        result = get_agent_prompt_template(is_manager=False, language='en')\n\n        # Verify the function was called with correct parameters\n        # The actual path will be an absolute path, so we check that it ends with the expected relative path\n        call_args = mock_file.call_args[0]\n        assert 'backend/prompts/managed_system_prompt_template_en.yaml' in call_args[0].replace('\\\\', '/')\n        assert call_args[1] == 'r'\n        assert mock_file.call_args[1]['encoding'] == 'utf-8'\n        mock_yaml_load.assert_called_once()\n        assert result == {\"test\": \"data\"}\n\n    def test_get_prompt_generate_prompt_template_zh(self, mocker):\n        \"\"\"Test get_prompt_generate_prompt_template for Chinese\"\"\"\n        mock_yaml_load = mocker.patch('yaml.safe_load')\n        mock_file = mocker.patch('builtins.open', mock_open(read_data='{\"test\": \"data\"}'))\n\n        mock_yaml_load.return_value = {\"test\": \"data\"}\n        result = get_prompt_generate_prompt_template(language='zh')\n\n        # Verify the function was called with correct parameters\n        # The actual path will be an absolute path, so we check that it ends with the expected relative path\n        call_args = mock_file.call_args[0]\n        assert 'backend/prompts/utils/prompt_generate_zh.yaml' in call_args[0].replace('\\\\', '/')\n        assert call_args[1] == 'r'\n        assert mock_file.call_args[1]['encoding'] == 'utf-8'\n        mock_yaml_load.assert_called_once()\n        assert result == {\"test\": \"data\"}\n\n    def test_get_prompt_generate_prompt_template_en(self, mocker):\n        \"\"\"Test get_prompt_generate_prompt_template for English\"\"\"\n        mock_yaml_load = mocker.patch('yaml.safe_load')\n        mock_file = mocker.patch('builtins.open', mock_open(read_data='{\"test\": \"data\"}'))\n\n        mock_yaml_load.return_value = {\"test\": \"data\"}\n        result = get_prompt_generate_prompt_template(language='en')\n\n        # Verify the function was called with correct parameters\n        # The actual path will be an absolute path, so we check that it ends with the expected relative path\n        call_args = mock_file.call_args[0]\n        assert 'backend/prompts/utils/prompt_generate_en.yaml' in call_args[0].replace('\\\\', '/')\n        assert call_args[1] == 'r'\n        assert mock_file.call_args[1]['encoding'] == 'utf-8'\n        mock_yaml_load.assert_called_once()\n        assert result == {\"test\": \"data\"}\n\n    def test_get_prompt_generate_prompt_template_default_language(self, mocker):\n        \"\"\"Test get_prompt_generate_prompt_template with default language (should be Chinese)\"\"\"\n        mock_yaml_load = mocker.patch('yaml.safe_load')\n        mock_file = mocker.patch('builtins.open', mock_open(read_data='{\"test\": \"data\"}'))\n\n        mock_yaml_load.return_value = {\"test\": \"data\"}\n        result = get_prompt_generate_prompt_template()\n\n        # Verify the function was called with correct parameters\n        # The actual path will be an absolute path, so we check that it ends with the expected relative path\n        call_args = mock_file.call_args[0]\n        assert 'backend/prompts/utils/prompt_generate_zh.yaml' in call_args[0].replace('\\\\', '/')\n        assert call_args[1] == 'r'\n        assert mock_file.call_args[1]['encoding'] == 'utf-8'\n        mock_yaml_load.assert_called_once()\n        assert result == {\"test\": \"data\"}\n\n\nif __name__ == '__main__':\n    pytest.main()\n"
  },
  {
    "path": "test/backend/utils/test_str_utils.py",
    "content": "import pytest\nfrom backend.utils.str_utils import remove_think_blocks, convert_list_to_string\n\n\nclass TestStrUtils:\n    \"\"\"Test str_utils module functions\"\"\"\n\n    def test_remove_think_blocks_no_tags(self):\n        \"\"\"Text without any think tags remains unchanged\"\"\"\n        text = \"This is a normal text without any think tags.\"\n        result = remove_think_blocks(text)\n        assert result == text\n\n    def test_remove_think_blocks_with_opening_tag_only(self):\n        \"\"\"Only opening tag: no closing tag -> no removal\"\"\"\n        text = \"This text has <think>some thinking content\"\n        result = remove_think_blocks(text)\n        assert result == text  # unchanged\n\n    def test_remove_think_blocks_with_closing_tag_only(self):\n        \"\"\"Only closing tag: no opening tag -> no removal\"\"\"\n        text = \"\"\n        result = remove_think_blocks(text)\n        assert result == text  # unchanged\n\n    def test_remove_think_blocks_with_both_tags(self):\n        \"\"\"Both tags present: remove the whole block including inner content\"\"\"\n        text = \"This text has <think>some thinking content</think> in it.\"\n        result = remove_think_blocks(text)\n        assert result == \" in it.\"\n\n    def test_remove_think_blocks_multiple_tags(self):\n        \"\"\"Multiple blocks should all be removed\"\"\"\n        text = \"<think>First thought</think> Normal text <think>Second thought</think>\"\n        result = remove_think_blocks(text)\n        assert result == \"\"\n\n    def test_remove_think_blocks_empty_string(self):\n        \"\"\"Empty string\"\"\"\n        text = \"\"\n        result = remove_think_blocks(text)\n        assert result == \"\"\n\n    def test_remove_think_blocks_only_tags(self):\n        \"\"\"Only tags with empty content\"\"\"\n        text = \"<think></think>\"\n        result = remove_think_blocks(text)\n        assert result == \"\"\n\n    def test_remove_think_blocks_partial_tags(self):\n        \"\"\"Partial/misspelled tags should not be touched\"\"\"\n        text = \"Text with <thin>partial tag</thin>\"\n        result = remove_think_blocks(text)\n        assert result == text  # Should not be modified\n\n    def test_remove_think_blocks_case_insensitive(self):\n        \"\"\"Uppercase/lowercase tags should be removed (case-insensitive)\"\"\"\n        text = \"Text with <THINK>uppercase</THINK> tags\"\n        result = remove_think_blocks(text)\n        assert result == \" tags\"\n\n    def test_convert_list_to_string_none_input(self):\n        \"\"\"None input should return empty string\"\"\"\n        result = convert_list_to_string(None)\n        assert result == \"\"\n\n    def test_convert_list_to_string_empty_list(self):\n        \"\"\"Empty list should return empty string\"\"\"\n        result = convert_list_to_string([])\n        assert result == \"\"\n\n    def test_convert_list_to_string_single_item(self):\n        \"\"\"Single item list should return single item as string\"\"\"\n        result = convert_list_to_string([42])\n        assert result == \"42\"\n\n    def test_convert_list_to_string_multiple_items(self):\n        \"\"\"Multiple items should be joined with commas\"\"\"\n        result = convert_list_to_string([1, 2, 3])\n        assert result == \"1,2,3\"\n\n    def test_convert_list_to_string_mixed_types(self):\n        \"\"\"List with mixed integer types should work correctly\"\"\"\n        result = convert_list_to_string([1, 2, 3, 10])\n        assert result == \"1,2,3,10\"\n\n    def test_convert_list_to_string_zero_and_negative(self):\n        \"\"\"Zero and negative numbers should be handled correctly\"\"\"\n        result = convert_list_to_string([0, -1, 5])\n        assert result == \"0,-1,5\"\n\n\nif __name__ == \"__main__\":\n    pytest.main()\n"
  },
  {
    "path": "test/common/__init__.py",
    "content": "\"\"\"Common utilities shared across backend tests.\"\"\"\n"
  },
  {
    "path": "test/common/test_mocks.py",
    "content": "\"\"\"\nCommon test utilities for mocking external dependencies.\n\nThis module provides shared mocking utilities to avoid code duplication\nacross test files that need to mock database, storage, and external service dependencies.\n\"\"\"\n\nimport sys\nimport types\nfrom functools import lru_cache\nfrom pathlib import Path\nfrom typing import Dict, Any\nfrom unittest.mock import MagicMock\n\nimport pytest\n\n\ndef _ensure_path(path: Path) -> None:\n    \"\"\"Ensure the given path is in sys.path.\"\"\"\n    if str(path) not in sys.path:\n        sys.path.insert(0, str(path))\n\n\ndef _create_module(name: str, **attrs: Any) -> types.ModuleType:\n    \"\"\"Create a module with the given attributes.\"\"\"\n    module = types.ModuleType(name)\n    for attr_name, attr_value in attrs.items():\n        setattr(module, attr_name, attr_value)\n    sys.modules[name] = module\n    return module\n\n\n@lru_cache(maxsize=1)\ndef bootstrap_test_env() -> Dict[str, Any]:\n    \"\"\"\n    Bootstrap the test environment with common mocks and path setup.\n\n    This is cached and should be used for tests that need a persistent\n    environment setup across the test session.\n    \"\"\"\n    current_dir = Path(__file__).resolve().parent\n    project_root = current_dir.parents[1]\n    backend_dir = project_root / \"backend\"\n\n    _ensure_path(project_root)\n    _ensure_path(backend_dir)\n\n    mock_const = MagicMock()\n    consts_module = _create_module(\"consts\", const=mock_const)\n    sys.modules[\"consts.const\"] = mock_const\n\n    boto3_mock = MagicMock()\n    sys.modules.setdefault(\"boto3\", boto3_mock)\n\n    client_module = _create_module(\n        \"backend.database.client\",\n        MinioClient=MagicMock(),\n        PostgresClient=MagicMock(),\n        db_client=MagicMock(),\n        get_db_session=MagicMock(),\n        as_dict=MagicMock(),\n        minio_client=MagicMock(),\n        postgres_client=MagicMock(),\n    )\n    sys.modules[\"database.client\"] = client_module\n    if \"database\" not in sys.modules:\n        _create_module(\"database\")\n\n    config_utils_module = _create_module(\n        \"utils.config_utils\",\n        tenant_config_manager=MagicMock(),\n        get_model_name_from_config=MagicMock(return_value=\"\"),\n    )\n\n    nexent_module = _create_module(\"nexent\", MessageObserver=MagicMock())\n    _create_module(\"nexent.core\")\n    _create_module(\"nexent.core.models\", OpenAIVLModel=MagicMock())\n\n    return {\n        \"mock_const\": mock_const,\n        \"consts_module\": consts_module,\n        \"client_module\": client_module,\n        \"config_utils_module\": config_utils_module,\n        \"nexent_module\": nexent_module,\n        \"boto3_mock\": boto3_mock,\n        \"project_root\": project_root,\n        \"backend_dir\": backend_dir,\n    }\n\n\ndef setup_common_mocks():\n    \"\"\"\n    Setup common mocks for external dependencies used across multiple test files.\n\n    This includes mocks for:\n    - Database modules (database, database.db_models, etc.)\n    - Storage modules (nexent.storage, boto3)\n    - External libraries (sqlalchemy, psycopg2, jinja2)\n    - Configuration modules (consts)\n\n    Returns:\n        Dict containing the main mock objects for use in tests\n    \"\"\"\n    # Mock consts module with proper MODEL_CONFIG_MAPPING\n    consts_mock = MagicMock()\n    consts_mock.const = MagicMock()\n\n    # Set up MODEL_CONFIG_MAPPING as a proper dict, not a MagicMock\n    consts_mock.const.MODEL_CONFIG_MAPPING = {\n        \"llm\": \"LLM_ID\",\n        \"embedding\": \"EMBEDDING_ID\",\n        \"multiEmbedding\": \"MULTI_EMBEDDING_ID\",\n        \"rerank\": \"RERANK_ID\",\n        \"vlm\": \"VLM_ID\",\n        \"stt\": \"STT_ID\",\n        \"tts\": \"TTS_ID\"\n    }\n\n    sys.modules['consts'] = consts_mock\n    sys.modules['consts.const'] = consts_mock.const\n\n    # Mock boto3\n    boto3_mock = MagicMock()\n    sys.modules['boto3'] = boto3_mock\n\n    # Mock nexent modules\n    nexent_mock = MagicMock()\n    nexent_core_mock = MagicMock()\n    nexent_core_models_mock = MagicMock()\n    nexent_storage_mock = MagicMock()\n    nexent_storage_factory_mock = MagicMock()\n    storage_client_mock = MagicMock()\n\n    # Configure storage factory mock\n    nexent_storage_factory_mock.create_storage_client_from_config = MagicMock(\n        return_value=storage_client_mock)\n    nexent_storage_factory_mock.MinIOStorageConfig = MagicMock()\n    nexent_storage_mock.storage_client_factory = nexent_storage_factory_mock\n\n    # Set up nexent module hierarchy\n    nexent_core_mock.models = nexent_core_models_mock\n    nexent_mock.core = nexent_core_mock\n    nexent_mock.storage = nexent_storage_mock\n\n    # Register nexent modules\n    sys.modules['nexent'] = nexent_mock\n    sys.modules['nexent.core'] = nexent_core_mock\n    sys.modules['nexent.core.models'] = nexent_core_models_mock\n    sys.modules['nexent.core.models.openai_long_context_model'] = MagicMock()\n    sys.modules['nexent.core.models.openai_vlm'] = MagicMock()\n    sys.modules['nexent.storage'] = nexent_storage_mock\n    sys.modules['nexent.storage.storage_client_factory'] = nexent_storage_factory_mock\n\n    # Mock database modules\n    db_mock = MagicMock()\n    db_models_mock = MagicMock()\n    db_models_mock.TableBase = MagicMock()\n    db_model_management_mock = MagicMock()\n    db_tenant_config_mock = MagicMock()\n\n    sys.modules['database'] = db_mock\n    sys.modules['database.db_models'] = db_models_mock\n    sys.modules['database.model_management_db'] = db_model_management_mock\n    sys.modules['database.tenant_config_db'] = db_tenant_config_mock\n    sys.modules['backend.database.db_models'] = db_models_mock\n\n    # Mock sqlalchemy with submodules\n    sqlalchemy_mock = MagicMock()\n    sqlalchemy_sql_mock = MagicMock()\n    sqlalchemy_orm_mock = MagicMock()\n    sqlalchemy_orm_class_mapper_mock = MagicMock()\n    sqlalchemy_orm_sessionmaker_mock = MagicMock()\n\n    sqlalchemy_mock.sql = sqlalchemy_sql_mock\n    sqlalchemy_orm_mock.class_mapper = sqlalchemy_orm_class_mapper_mock\n    sqlalchemy_orm_mock.sessionmaker = sqlalchemy_orm_sessionmaker_mock\n\n    sys.modules['sqlalchemy'] = sqlalchemy_mock\n    sys.modules['sqlalchemy.sql'] = sqlalchemy_sql_mock\n    sys.modules['sqlalchemy.orm'] = sqlalchemy_orm_mock\n    sys.modules['sqlalchemy.orm.class_mapper'] = sqlalchemy_orm_class_mapper_mock\n    sys.modules['sqlalchemy.orm.sessionmaker'] = sqlalchemy_orm_sessionmaker_mock\n\n    # Mock psycopg2\n    sys.modules['psycopg2'] = MagicMock()\n    sys.modules['psycopg2.extensions'] = MagicMock()\n\n    # Mock jinja2\n    sys.modules['jinja2'] = MagicMock()\n\n    return {\n        'consts_mock': consts_mock,\n        'boto3_mock': boto3_mock,\n        'nexent_mock': nexent_mock,\n        'storage_client_mock': storage_client_mock,\n        'db_mock': db_mock,\n        'sqlalchemy_mock': sqlalchemy_mock,\n    }\n\n\ndef patch_minio_client_initialization():\n    \"\"\"\n    Context manager to patch MinIO client initialization during import.\n\n    This should be used with 'with' statement before importing modules\n    that initialize MinIO clients at module level.\n    \"\"\"\n    from unittest.mock import patch\n    from contextlib import contextmanager\n\n    @contextmanager\n    def _patch_minio():\n        with patch('nexent.storage.storage_client_factory.create_storage_client_from_config'), \\\n                patch('nexent.storage.storage_client_factory.MinIOStorageConfig'):\n            yield\n\n    return _patch_minio()\n\n\n# Global fixtures for common test constants\n@pytest.fixture(scope=\"session\")\ndef mock_constants():\n    \"\"\"\n    Global fixture providing mock constants for Elasticsearch configuration.\n\n    This fixture provides the standard mock values used across multiple test files\n    and aligns with the environment variables set in conftest.py.\n    \"\"\"\n    mock_const = MagicMock()\n    mock_const.ES_HOST = \"http://localhost:9200\"\n    mock_const.ES_API_KEY = \"test-es-key\"\n    mock_const.ES_USERNAME = \"elastic\"\n    mock_const.ES_PASSWORD = \"test-password\"\n    return mock_const\n"
  },
  {
    "path": "test/conftest.py",
    "content": "\"\"\"\nGlobal test configuration for third-party component environment variables.\n\nThis file sets up environment variables for external services used in tests.\n\"\"\"\nimport os\n\n\n# MinIO Configuration\nos.environ.setdefault('MINIO_ENDPOINT', 'http://localhost:9000')\nos.environ.setdefault('MINIO_ACCESS_KEY', 'minioadmin')\nos.environ.setdefault('MINIO_SECRET_KEY', 'minioadmin')\nos.environ.setdefault('MINIO_REGION', 'us-east-1')\nos.environ.setdefault('MINIO_DEFAULT_BUCKET', 'test-bucket')\n\n# Elasticsearch Configuration\nos.environ.setdefault('ELASTICSEARCH_HOST', 'http://localhost:9200')\nos.environ.setdefault('ELASTICSEARCH_API_KEY', 'test-es-key')\nos.environ.setdefault('ELASTIC_PASSWORD', 'test-password')\n\n# PostgresSQL Configuration\nos.environ.setdefault('POSTGRES_HOST', 'localhost')\nos.environ.setdefault('POSTGRES_USER', 'test_user')\nos.environ.setdefault('POSTGRES_PASSWORD', 'test_password')\nos.environ.setdefault('POSTGRES_DB', 'test_db')\nos.environ.setdefault('POSTGRES_PORT', '5432')\n"
  },
  {
    "path": "test/pytest.ini",
    "content": "# pytest configuration file\n[pytest]\n# Automatically detect and handle async test functions\nasyncio_mode = auto\n# Create a new event loop for each test function to ensure isolation\nasyncio_default_fixture_loop_scope = function\n# Configure warning filters to ignore all warnings\nfilterwarnings =\n    # Disable all warnings\n    ignore\n"
  },
  {
    "path": "test/run_all_test.py",
    "content": "import os\nimport subprocess\nimport sys\nimport logging\n\n# Configure logger\nlogger = logging.getLogger(\"run_all_test\")\nlogger.setLevel(logging.INFO)\nconsole_handler = logging.StreamHandler()\nconsole_handler.setLevel(logging.INFO)\nformatter = logging.Formatter('%(message)s')\nconsole_handler.setFormatter(formatter)\nlogger.addHandler(console_handler)\n\n\ndef check_required_packages():\n    \"\"\"Check if required packages are available\"\"\"\n    missing_packages = []\n\n    # Check for pytest-cov\n    try:\n        import pytest_cov\n    except ImportError:\n        missing_packages.append(\"pytest-cov\")\n\n    # Check for coverage\n    try:\n        import coverage\n    except ImportError:\n        missing_packages.append(\"coverage\")\n\n    # Check for pytest-asyncio\n    try:\n        import pytest_asyncio\n    except ImportError:\n        missing_packages.append(\"pytest-asyncio\")\n\n    if missing_packages:\n        logger.error(\n            f\"Missing required packages: {', '.join(missing_packages)}\")\n        logger.error(\"Please install them using: pip install \" +\n                     \" \".join(missing_packages))\n        sys.exit(1)\n\n    logger.info(\"All required packages are available\")\n    return True\n\n\ndef run_tests():\n    \"\"\"Find and run all test files in the app directory using pytest with coverage\"\"\"\n    # Get the script directory path\n    current_dir = os.path.dirname(os.path.abspath(__file__))\n\n    # Get project root directory (Nexent)\n    project_root = os.path.abspath(os.path.join(current_dir, \"../\"))\n\n    # Get the test directories path using relative path\n    backend_test_dir = os.path.join(project_root, \"test\", \"backend\")\n    sdk_test_dir = os.path.join(project_root, \"test\", \"sdk\")\n\n    test_files = []\n\n    # Check and collect test files from backend directory recursively\n    if os.path.exists(backend_test_dir):\n        # Search recursively in all subdirectories\n        for root, dirs, files in os.walk(backend_test_dir):\n            for file in files:\n                if file.startswith('test_') and file.endswith('.py'):\n                    test_files.append(os.path.join(root, file))\n    else:\n        logger.warning(f\"Directory not found: {backend_test_dir}\")\n\n    # Check and collect test files from sdk directory recursively\n    if os.path.exists(sdk_test_dir):\n        # Search recursively in all subdirectories\n        for root, dirs, files in os.walk(sdk_test_dir):\n            for file in files:\n                if file.startswith('test_') and file.endswith('.py'):\n                    test_files.append(os.path.join(root, file))\n    else:\n        logger.warning(f\"Directory not found: {sdk_test_dir}\")\n\n    # Print the paths being searched to help with debugging\n    logger.info(f\"Searching for tests in: {backend_test_dir}\")\n    logger.info(f\"Searching for tests in: {sdk_test_dir}\")\n\n    logger.info(f\"Found {len(test_files)} test files to run\")\n    logger.info(f\"Running tests from project root: {project_root}\")\n\n    # Change to project root directory\n    os.chdir(project_root)\n\n    # Check required packages\n    check_required_packages()\n\n    # Coverage data file path\n    coverage_data_file = os.path.join(current_dir, '.coverage')\n    config_file = os.path.join(current_dir, '.coveragerc')\n\n    # Delete old coverage data if it exists\n    if os.path.exists(coverage_data_file):\n        try:\n            os.remove(coverage_data_file)\n            logger.info(\"Removed old coverage data.\")\n        except Exception as e:\n            logger.warning(f\"Could not remove old coverage data: {e}\")\n\n    # Results tracking\n    total_tests = 0\n    passed_tests = 0\n    failed_tests = 0\n    test_results = []\n\n    # Define source directories for coverage\n    backend_source = os.path.join(project_root, 'backend')\n    sdk_source = os.path.join(project_root, 'sdk')\n\n    # Run each test file with pytest-cov\n    for test_file in test_files:\n        # Get test file path relative to project root\n        rel_path = os.path.relpath(test_file, project_root)\n        # Replace backslashes with forward slashes for pytest\n        rel_path = rel_path.replace(\"\\\\\", \"/\")\n\n        # Display running message without newline using print, then flush\n        print(f\"{rel_path:60}\\t\\t\", end='', flush=True)\n\n        # Run the test using pytest with coverage from project root\n        # Use --cov to specify both backend and sdk directories\n        cmd = [\n            sys.executable,\n            \"-m\",\n            \"pytest\",\n            rel_path,\n            \"-q\",  # Quiet mode for cleaner output\n            f\"--cov={backend_source}\",\n            f\"--cov={sdk_source}\",\n            f\"--cov-report=\",\n            \"--cov-append\",\n            \"--cov-branch\",  # Enable branch coverage\n            \"--cov-config=test/.coveragerc\",  # Use the config file\n            \"--disable-warnings\"  # Disable warnings\n        ]\n\n        env = os.environ.copy()\n        env[\"PYTHONPATH\"] = f\"{project_root}:{env.get('PYTHONPATH', '')}\"\n        # For Windows systems, adjust path separator\n        if sys.platform == 'win32':\n            env[\"PYTHONPATH\"] = f\"{project_root};{env.get('PYTHONPATH', '')}\"\n        env[\"COVERAGE_FILE\"] = coverage_data_file\n        env[\"COVERAGE_PROCESS_START\"] = config_file\n\n        result = subprocess.run(cmd, capture_output=True, text=True, env=env)\n\n        # First, capture warnings and errors to display separately\n        capture_warnings = False\n        capture_errors = False\n        warning_lines = []\n        error_lines = []\n\n        for line in result.stdout.split('\\n'):\n            if \"warnings summary\" in line.lower():\n                capture_warnings = True\n                capture_errors = False\n                warning_lines.append(line)\n            elif line.strip().startswith(\"=\") and (\"ERROR\" in line or \"FAIL\" in line):\n                capture_errors = True\n                capture_warnings = False\n                error_lines.append(line)\n            elif capture_warnings and not line.strip().startswith(\"=== \"):\n                warning_lines.append(line)\n            elif capture_errors:\n                error_lines.append(line)\n            elif line.strip().startswith(\"=== \") and (\"short test summary\" in line or \"warnings summary\" not in line):\n                capture_warnings = False\n                capture_errors = False\n\n        # Check if any tests actually failed (not just warnings)\n        test_failed = False\n        if result.returncode != 0:\n            # Check output for failed tests vs just warnings\n            test_failed = (\" failed \" in result.stdout or\n                           \" FAILED \" in result.stdout or\n                           \"ERROR \" in result.stdout or\n                           \"ImportError\" in result.stdout or\n                           \"ModuleNotFoundError\" in result.stdout)\n\n        # Parse pytest output to get test counts\n        file_total = file_passed = file_failed = 0\n\n        # First, get the collected count\n        for line in result.stdout.split('\\n'):\n            if line.strip().startswith('collecting ... collected '):\n                try:\n                    file_total = int(line.strip().split(\n                        'collecting ... collected ')[1].split()[0])\n                except (IndexError, ValueError):\n                    pass\n\n        # Look for the summary line at the end of the test run\n        for line in result.stdout.split('\\n'):\n            # Match patterns like \"10 passed in 0.05s\" or \"17 passed, 13 warnings in 2.49s\"\n            if \" passed\" in line and \" in \" in line:\n                parts = line.strip().split()\n                try:\n                    # Find the position of \"passed\" word\n                    for i, part in enumerate(parts):\n                        if \"passed\" in part:\n                            file_passed = int(parts[i-1])\n                            break\n                    # Find the position of \"failed\" word if it exists\n                    for i, part in enumerate(parts):\n                        if \"failed\" in part:\n                            file_failed = int(parts[i-1])\n                            break\n                except (IndexError, ValueError):\n                    pass\n\n        # If we couldn't determine the number of collected tests from the output,\n        # use the sum of passed and failed as the total\n        if file_total == 0 and (file_passed > 0 or file_failed > 0):\n            file_total = file_passed + file_failed\n\n        # Special case: If we have an import error or collection error,\n        # count it as at least one failed test\n        if test_failed and \"ImportError\" in result.stdout or \"ERROR collecting\" in result.stdout:\n            if file_total == 0:\n                # If no tests were collected, count the file as having one test that failed\n                file_total = 1\n                file_failed = 1\n\n                # Try to count the actual number of test methods in the file\n                try:\n                    with open(os.path.join(project_root, rel_path), 'r', encoding='utf-8') as f:\n                        content = f.read()\n                        # Count test methods in unittest style tests\n                        test_methods = [line for line in content.split(\n                            '\\n') if line.strip().startswith('def test_')]\n                        if test_methods:\n                            file_total = len(test_methods)\n                            file_failed = file_total  # All tests in the file are considered failed\n                except Exception:\n                    # If counting fails, stick with the default of 1\n                    pass\n\n        # Generate the summary line for this test file\n        execution_time = \"\"\n        for line in result.stdout.split('\\n'):\n            if \" passed\" in line and \" in \" in line:\n                parts = line.strip().split()\n                for i, part in enumerate(parts):\n                    if part == \"in\" and i < len(parts) - 1:\n                        execution_time = parts[i+1]\n                        break\n                break\n\n        # Format and print the summary line\n        if file_passed > 0 or file_failed > 0:\n            if file_failed > 0:\n                temp_result = f\" {file_passed} passed, {file_failed} failed\"\n                summary = f\"{execution_time:6} | {temp_result:20}\"\n            else:\n                temp_result = f\" {file_passed} passed\"\n                summary = f\"{execution_time:6} | {temp_result:20}\"\n        else:\n            summary = \"No tests collected or execution failed\"\n\n        # Complete the line started earlier\n        print(summary)\n\n        # Log warnings if any\n        if warning_lines:\n            logger.warning(\"Warnings detected:\")\n            for line in warning_lines:\n                if line.strip():  # Only log non-empty lines\n                    logger.warning(line)\n\n        # Log errors if any\n        if error_lines:\n            logger.error(\"Errors detected:\")\n            for line in error_lines:\n                if line.strip():  # Only log non-empty lines\n                    logger.error(line)\n\n        # Log stderr if present\n        if result.stderr:\n            logger.error(\"Standard error output:\")\n            logger.error(result.stderr)\n\n        # Count tests and results\n        test_info = {\n            'file': rel_path,\n            'success': result.returncode == 0,  # Success only if returncode is 0\n            'output': result.stdout\n        }\n        test_results.append(test_info)\n\n        total_tests += file_total\n        passed_tests += file_passed\n        failed_tests += file_failed\n\n    # Generate test summary report\n    logger.info(\"\\n\" + \"=\" * 60)\n    logger.info(\"Test Summary\")\n    logger.info(\"=\" * 60)\n\n    # Print per-file results\n    for test_result in test_results:\n        status = \"✅ PASSED\" if test_result['success'] else \"❌ FAILED\"\n        logger.info(f\"{status} - {test_result['file']}\")\n\n    # Calculate pass rate\n    pass_rate = (passed_tests / total_tests * 100) if total_tests > 0 else 0\n    logger.info(\"\\nTest Results:\")\n    logger.info(f\"  Total Tests: {total_tests}\")\n    logger.info(f\"  Passed: {passed_tests}\")\n    logger.info(f\"  Failed: {failed_tests}\")\n    logger.info(f\"  Pass Rate: {pass_rate:.1f}%\")\n\n    # Generate error report if there are failures\n    if failed_tests > 0:\n        generate_error_report(test_results)\n\n    # Generate coverage reports\n    logger.info(\"\\n\" + \"=\" * 60)\n    logger.info(\"Code Coverage Report\")\n    logger.info(\"=\" * 60)\n\n    try:\n        # Use coverage API to generate reports from the collected data\n        import coverage\n        cov = coverage.Coverage(\n            data_file=coverage_data_file,\n            config_file=config_file\n        )\n        cov.load()\n\n        # Get measured files and check if they exist\n        measured_files = cov.get_data().measured_files()\n        missing_files = []\n        for file_path in measured_files:\n            if not os.path.exists(file_path):\n                missing_files.append(file_path)\n                logger.warning(f\"Source file not found: {file_path}\")\n\n        if missing_files:\n            logger.warning(\n                f\"\\nFound {len(missing_files)} missing source files\")\n            logger.warning(\"Coverage report may be incomplete\")\n\n            # Remove missing files from coverage data\n            logger.info(\n                \"Attempting to exclude missing files from coverage reports...\")\n            # Create a temporary copy of the config\n            temp_config = os.path.join(current_dir, '.coveragerc.tmp')\n            with open(config_file, 'r') as src, open(temp_config, 'w') as dst:\n                for line in src:\n                    dst.write(line)\n                # Add explicit omit rules for missing files\n                dst.write(\"\\n# Additional files to omit (added automatically)\\n\")\n                for file_path in missing_files:\n                    dst.write(f\"    {file_path}\\n\")\n\n            # Reload coverage with the updated config\n            try:\n                logger.info(\"Reloading coverage with updated configuration...\")\n                cov = coverage.Coverage(\n                    data_file=coverage_data_file,\n                    config_file=temp_config\n                )\n                cov.load()\n                logger.info(\n                    \"Successfully reloaded coverage data with updated config\")\n            except Exception as e:\n                logger.warning(\n                    f\"Failed to reload coverage with updated config: {e}\")\n                # Continue with the original coverage object\n\n        # Console report\n        try:\n            total_coverage = cov.report(show_missing=True)\n            logger.info(f\"\\nTotal Coverage: {total_coverage:.1f}%\")\n\n            # Generate HTML report\n            html_dir = os.path.join(current_dir, 'coverage_html')\n            cov.html_report(directory=html_dir)\n            logger.info(f\"\\nHTML coverage report generated in: {html_dir}\")\n\n            # Generate XML report\n            xml_file = os.path.join(current_dir, 'coverage.xml')\n            cov.xml_report(outfile=xml_file)\n            logger.info(f\"XML coverage report generated: {xml_file}\")\n        except Exception as e:\n            logger.error(\n                f\"Error generating coverage reports after data cleanup: {e}\")\n    except Exception as e:\n        if \"No data to report\" in str(e) or \"No data was collected\" in str(e):\n            logger.info(\"No coverage data collected. This might be because:\")\n            logger.info(\"1. No backend modules were imported during tests\")\n            logger.info(\"2. All tested modules are mocked\")\n            logger.info(\"3. Tests are not actually calling the backend code\")\n        else:\n            logger.error(f\"Error generating coverage report: {e}\")\n\n            # Additional debugging for missing source files\n            if \"No source for code\" in str(e):\n                file_path = str(e).split(\n                    \"'\")[1] if \"'\" in str(e) else \"unknown\"\n                logger.error(f\"The file exists: {os.path.exists(file_path)}\")\n                logger.error(\"Possible solutions:\")\n                logger.error(\n                    \"1. Make sure the file exists at the path shown in the error\")\n                logger.error(\n                    \"2. Check if the PYTHONPATH includes the directory containing this file\")\n                logger.error(\n                    \"3. Try running tests with absolute imports instead of relative imports\")\n                logger.error(\n                    \"4. Add a .coveragerc file with [paths] section to map source paths\")\n\n    # Return appropriate exit code based on test results\n    if failed_tests > 0:\n        logger.error(\n            f\"\\n❌ Test run failed: {failed_tests} tests failed out of {total_tests}\")\n        return False\n    else:\n        logger.info(f\"\\n✅ Test run successful: {passed_tests} tests passed\")\n        return True\n\n\ndef generate_error_report(test_results):\n    \"\"\"Generate a detailed report for failed tests\"\"\"\n    failed_tests = [test for test in test_results if not test['success']]\n\n    if not failed_tests:\n        return\n\n    logger.info(\"\\n\" + \"=\" * 60)\n    logger.info(\"Test Error Report\")\n    logger.info(\"=\" * 60)\n\n    for index, test in enumerate(failed_tests):\n        file_path = test['file']\n        output = test['output']\n\n        logger.info(f\"\\n{index + 1}. File: {file_path}\")\n        logger.info(\"-\" * 40)\n\n        # Extract error information from output\n        error_lines = []\n        capture_error = False\n\n        for line in output.split('\\n'):\n            # Start capturing at ERROR or FAIL sections\n            if line.strip().startswith(\"=\") and (\"ERROR\" in line or \"FAIL\" in line):\n                capture_error = True\n                error_lines.append(line)\n            # Stop at the short test summary\n            elif line.strip().startswith(\"=== short test summary\"):\n                error_lines.append(line)\n                break\n            # Add lines while capturing\n            elif capture_error:\n                error_lines.append(line)\n\n        # If we didn't capture specific errors, look for traceback\n        if not error_lines:\n            capture_error = False\n            for line in output.split('\\n'):\n                if \"Traceback\" in line:\n                    capture_error = True\n                if capture_error:\n                    error_lines.append(line)\n                    if len(error_lines) > 15:  # Limit traceback to 15 lines\n                        error_lines.append(\"... (truncated) ...\")\n                        break\n\n        # If still no error lines found, just show the last few lines of output\n        if not error_lines:\n            output_lines = output.split('\\n')\n            if len(output_lines) > 10:\n                error_lines = [\"... (output truncated) ...\"] + \\\n                    output_lines[-10:]\n            else:\n                error_lines = output_lines\n\n        # Print the error details\n        for line in error_lines:\n            logger.info(line)\n\n    logger.info(\"\\n\" + \"=\" * 60)\n    logger.info(f\"Total failed test files: {len(failed_tests)}\")\n    logger.info(\"=\" * 60)\n\n\nif __name__ == \"__main__\":\n    success = run_tests()\n    sys.exit(0 if success else 1)\n"
  },
  {
    "path": "test/sdk/__init__.py",
    "content": "\"\"\"\nTest package for SDK modules.\n\"\"\"\n"
  },
  {
    "path": "test/sdk/container/__init__.py",
    "content": "\"\"\"\nTest package for container module\n\"\"\"\n\n"
  },
  {
    "path": "test/sdk/container/test_container_client_base.py",
    "content": "\"\"\"\nUnit tests for container_client_base.py\nTests the abstract base classes\n\"\"\"\n\nimport pytest\nfrom abc import ABC\n\nfrom nexent.container.container_client_base import ContainerClient, ContainerConfig\n\n\n# ---------------------------------------------------------------------------\n# Test ContainerConfig\n# ---------------------------------------------------------------------------\n\n\nclass TestContainerConfig:\n    \"\"\"Test ContainerConfig abstract base class\"\"\"\n\n    def test_container_config_is_abstract(self):\n        \"\"\"Test that ContainerConfig cannot be instantiated directly\"\"\"\n        with pytest.raises(TypeError):\n            ContainerConfig()\n\n    def test_container_config_has_abstract_methods(self):\n        \"\"\"Test that ContainerConfig has required abstract methods\"\"\"\n        # Check that container_type is abstract\n        assert hasattr(ContainerConfig, \"container_type\")\n        assert hasattr(ContainerConfig, \"validate\")\n\n    def test_container_config_subclass_must_implement_methods(self):\n        \"\"\"Test that subclass must implement all abstract methods\"\"\"\n        class IncompleteConfig(ContainerConfig):\n            pass\n\n        with pytest.raises(TypeError):\n            IncompleteConfig()\n\n\n# ---------------------------------------------------------------------------\n# Test ContainerClient\n# ---------------------------------------------------------------------------\n\n\nclass TestContainerClient:\n    \"\"\"Test ContainerClient abstract base class\"\"\"\n\n    def test_container_client_is_abstract(self):\n        \"\"\"Test that ContainerClient cannot be instantiated directly\"\"\"\n        with pytest.raises(TypeError):\n            ContainerClient()\n\n    def test_container_client_has_abstract_methods(self):\n        \"\"\"Test that ContainerClient has required abstract methods\"\"\"\n        assert hasattr(ContainerClient, \"start_container\")\n        assert hasattr(ContainerClient, \"stop_container\")\n        assert hasattr(ContainerClient, \"remove_container\")\n        assert hasattr(ContainerClient, \"list_containers\")\n        assert hasattr(ContainerClient, \"get_container_logs\")\n        assert hasattr(ContainerClient, \"get_container_status\")\n\n    def test_container_client_subclass_must_implement_methods(self):\n        \"\"\"Test that subclass must implement all abstract methods\"\"\"\n        class IncompleteClient(ContainerClient):\n            pass\n\n        with pytest.raises(TypeError):\n            IncompleteClient()\n\n    def test_container_client_is_abc(self):\n        \"\"\"Test that ContainerClient is an ABC\"\"\"\n        assert issubclass(ContainerClient, ABC)\n\n    def test_container_config_is_abc(self):\n        \"\"\"Test that ContainerConfig is an ABC\"\"\"\n        assert issubclass(ContainerConfig, ABC)\n\n"
  },
  {
    "path": "test/sdk/container/test_container_client_factory.py",
    "content": "\"\"\"\nUnit tests for container_client_factory.py\nTests the container client factory functions\n\"\"\"\n\nimport pytest\nfrom unittest.mock import MagicMock, patch\n\nfrom nexent.container.container_client_factory import (\n    create_container_client_from_config,\n    register_container_client,\n)\nfrom nexent.container.container_client_base import ContainerClient, ContainerConfig\nfrom nexent.container.docker_config import DockerContainerConfig\nfrom nexent.container.docker_client import DockerContainerClient\n\n\n# ---------------------------------------------------------------------------\n# Test register_container_client\n# ---------------------------------------------------------------------------\n\n\nclass TestRegisterContainerClient:\n    \"\"\"Test register_container_client function\"\"\"\n\n    def test_register_container_client(self):\n        \"\"\"Test registering a container client\"\"\"\n        # Create mock config and client classes\n        class MockConfig(ContainerConfig):\n            @property\n            def container_type(self):\n                return \"mock\"\n\n            def validate(self):\n                pass\n\n        class MockClient(ContainerClient):\n            def __init__(self, config):\n                self.config = config\n\n            async def start_container(self, *args, **kwargs):\n                pass\n\n            async def stop_container(self, container_id):\n                pass\n\n            async def remove_container(self, container_id):\n                pass\n\n            def list_containers(self, tenant_id=None, service_name=None):\n                pass\n\n            def get_container_logs(self, container_id, tail=100):\n                pass\n\n            def get_container_status(self, container_id):\n                pass\n\n        # Register the mock client\n        register_container_client(MockConfig, MockClient)\n\n        # Verify it was registered\n        from nexent.container.container_client_factory import _CONTAINER_CLIENT_REGISTRY\n        assert \"mock\" in _CONTAINER_CLIENT_REGISTRY\n        assert _CONTAINER_CLIENT_REGISTRY[\"mock\"] == (MockConfig, MockClient)\n\n    def test_register_container_client_overwrite(self):\n        \"\"\"Test that registering the same type overwrites previous registration\"\"\"\n        class MockConfig1(ContainerConfig):\n            @property\n            def container_type(self):\n                return \"test-type\"\n\n            def validate(self):\n                pass\n\n        class MockClient1(ContainerClient):\n            def __init__(self, config):\n                self.config = config\n\n            async def start_container(self, *args, **kwargs):\n                pass\n\n            async def stop_container(self, container_id):\n                pass\n\n            def list_containers(self, tenant_id=None, service_name=None):\n                pass\n\n            def get_container_logs(self, container_id, tail=100):\n                pass\n\n            def get_container_status(self, container_id):\n                pass\n\n        class MockConfig2(ContainerConfig):\n            @property\n            def container_type(self):\n                return \"test-type\"\n\n            def validate(self):\n                pass\n\n        class MockClient2(ContainerClient):\n            def __init__(self, config):\n                self.config = config\n\n            async def start_container(self, *args, **kwargs):\n                pass\n\n            async def stop_container(self, container_id):\n                pass\n\n            def list_containers(self, tenant_id=None, service_name=None):\n                pass\n\n            def get_container_logs(self, container_id, tail=100):\n                pass\n\n            def get_container_status(self, container_id):\n                pass\n\n        # Register first client\n        register_container_client(MockConfig1, MockClient1)\n\n        # Register second client with same type\n        register_container_client(MockConfig2, MockClient2)\n\n        # Verify it was overwritten\n        from nexent.container.container_client_factory import _CONTAINER_CLIENT_REGISTRY\n        assert _CONTAINER_CLIENT_REGISTRY[\"test-type\"] == (MockConfig2, MockClient2)\n\n\n# ---------------------------------------------------------------------------\n# Test create_container_client_from_config\n# ---------------------------------------------------------------------------\n\n\nclass TestCreateContainerClientFromConfig:\n    \"\"\"Test create_container_client_from_config function\"\"\"\n\n    def test_create_container_client_with_docker_config(self):\n        \"\"\"Test creating container client with Docker config\"\"\"\n        config = DockerContainerConfig(docker_socket_path=\"tcp://localhost:2375\")\n\n        with patch(\"nexent.container.docker_client.docker.DockerClient\") as mock_docker_class:\n            mock_docker_client = MagicMock()\n            mock_docker_client.ping.return_value = True\n            mock_docker_class.return_value = mock_docker_client\n\n            client = create_container_client_from_config(config)\n\n            assert isinstance(client, DockerContainerClient)\n            mock_docker_class.assert_called_once()\n\n    def test_create_container_client_with_none(self):\n        \"\"\"Test creating container client with None config (defaults to Docker)\"\"\"\n        with patch(\"nexent.container.docker_client.docker.DockerClient\") as mock_docker_class:\n            mock_docker_client = MagicMock()\n            mock_docker_client.ping.return_value = True\n            mock_docker_class.return_value = mock_docker_client\n\n            client = create_container_client_from_config(None)\n\n            assert isinstance(client, DockerContainerClient)\n            mock_docker_class.assert_called_once()\n\n    def test_create_container_client_unsupported_type(self):\n        \"\"\"Test creating container client with unsupported type\"\"\"\n        class UnsupportedConfig(ContainerConfig):\n            @property\n            def container_type(self):\n                return \"unsupported\"\n\n            def validate(self):\n                pass\n\n        config = UnsupportedConfig()\n\n        with pytest.raises(ValueError, match=\"Unsupported container type\"):\n            create_container_client_from_config(config)\n\n    def test_create_container_client_custom_type(self):\n        \"\"\"Test creating container client with custom registered type\"\"\"\n        class CustomConfig(ContainerConfig):\n            @property\n            def container_type(self):\n                return \"custom\"\n\n            def validate(self):\n                pass\n\n        class CustomClient(ContainerClient):\n            def __init__(self, config):\n                self.config = config\n\n            async def start_container(self, *args, **kwargs):\n                return {}\n\n            async def stop_container(self, container_id):\n                return True\n\n            async def remove_container(self, container_id):\n                return True\n\n            def list_containers(self, tenant_id=None, service_name=None):\n                return []\n\n            def get_container_logs(self, container_id, tail=100):\n                return \"\"\n\n            def get_container_status(self, container_id):\n                return None\n\n        # Register custom client\n        register_container_client(CustomConfig, CustomClient)\n\n        config = CustomConfig()\n        client = create_container_client_from_config(config)\n\n        assert isinstance(client, CustomClient)\n        assert client.config == config\n\n    def test_create_container_client_docker_default(self):\n        \"\"\"Test that Docker is the default when no config provided\"\"\"\n        with patch(\"nexent.container.docker_client.docker.DockerClient\") as mock_docker_class:\n            mock_docker_client = MagicMock()\n            mock_docker_client.ping.return_value = True\n            mock_docker_class.return_value = mock_docker_client\n\n            client = create_container_client_from_config()\n\n            assert isinstance(client, DockerContainerClient)\n\n    def test_create_container_client_docker_registered(self):\n        \"\"\"Test that Docker client is pre-registered\"\"\"\n        from nexent.container.container_client_factory import _CONTAINER_CLIENT_REGISTRY\n\n        assert \"docker\" in _CONTAINER_CLIENT_REGISTRY\n        config_class, client_class = _CONTAINER_CLIENT_REGISTRY[\"docker\"]\n        assert config_class == DockerContainerConfig\n        assert client_class == DockerContainerClient\n\n"
  },
  {
    "path": "test/sdk/container/test_docker_client.py",
    "content": "\"\"\"\nUnit tests for docker_client.py\nTests the DockerContainerClient class with comprehensive coverage\n\"\"\"\n\nimport asyncio\nimport os\nimport socket\nfrom pathlib import Path\nfrom unittest.mock import AsyncMock, MagicMock, Mock, patch, call\nimport pytest\nfrom docker.errors import APIError, DockerException, NotFound\nfrom fastmcp import Client\n\nfrom nexent.container.docker_client import (\n    DockerContainerClient,\n    ContainerError,\n    ContainerConnectionError,\n)\nfrom nexent.container.docker_config import DockerContainerConfig\n\n\n# ---------------------------------------------------------------------------\n# Fixtures\n# ---------------------------------------------------------------------------\n\n\n@pytest.fixture\ndef mock_docker_config():\n    \"\"\"Create a mock Docker configuration\"\"\"\n    config = DockerContainerConfig(docker_socket_path=\"tcp://localhost:2375\")\n    return config\n\n\n@pytest.fixture\ndef mock_docker_client():\n    \"\"\"Create a mock Docker client\"\"\"\n    client = MagicMock()\n    client.ping.return_value = True\n    return client\n\n\n@pytest.fixture\ndef docker_container_client(mock_docker_config, mock_docker_client):\n    \"\"\"Create DockerContainerClient instance with mocked Docker client\"\"\"\n    with patch(\"nexent.container.docker_client.docker.DockerClient\") as mock_docker_class:\n        mock_docker_class.return_value = mock_docker_client\n        client = DockerContainerClient(mock_docker_config)\n        client.client = mock_docker_client\n        return client\n\n\n@pytest.fixture\ndef mock_container():\n    \"\"\"Create a mock Docker container\"\"\"\n    container = MagicMock()\n    container.id = \"test-container-id\"\n    container.name = \"mcp-test-service-tenant12-user1234\"\n    container.status = \"running\"\n    container.attrs = {\n        \"NetworkSettings\": {\n            \"Ports\": {\n                \"5020/tcp\": [{\"HostPort\": \"5020\"}],\n            }\n        },\n        \"Created\": \"2024-01-01T00:00:00Z\",\n        \"Config\": {\"Image\": \"node:22-alpine\"},\n    }\n    return container\n\n\n# ---------------------------------------------------------------------------\n# Test DockerContainerClient.__init__\n# ---------------------------------------------------------------------------\n\n\nclass TestDockerContainerClientInit:\n    \"\"\"Test DockerContainerClient initialization\"\"\"\n\n    def test_init_success(self, mock_docker_config, mock_docker_client):\n        \"\"\"Test successful initialization\"\"\"\n        with patch(\"nexent.container.docker_client.docker.DockerClient\") as mock_docker_class:\n            mock_docker_class.return_value = mock_docker_client\n            client = DockerContainerClient(mock_docker_config)\n            assert client.client == mock_docker_client\n            mock_docker_class.assert_called_once_with(\n                base_url=\"tcp://localhost:2375\")\n            mock_docker_client.ping.assert_called_once()\n\n    def test_init_docker_connection_failure(self, mock_docker_config):\n        \"\"\"Test initialization failure when Docker connection fails\"\"\"\n        with patch(\"nexent.container.docker_client.docker.DockerClient\") as mock_docker_class:\n            mock_docker_client = MagicMock()\n            mock_docker_client.ping.side_effect = DockerException(\n                \"Connection failed\")\n            mock_docker_class.return_value = mock_docker_client\n\n            with pytest.raises(ContainerError, match=\"Cannot connect to Docker\"):\n                DockerContainerClient(mock_docker_config)\n\n    def test_init_docker_ping_failure(self, mock_docker_config):\n        \"\"\"Test initialization failure when Docker ping fails\"\"\"\n        with patch(\"nexent.container.docker_client.docker.DockerClient\") as mock_docker_class:\n            mock_docker_client = MagicMock()\n            mock_docker_client.ping.side_effect = Exception(\"Ping failed\")\n            mock_docker_class.return_value = mock_docker_client\n\n            with pytest.raises(ContainerError):\n                DockerContainerClient(mock_docker_config)\n\n\n# ---------------------------------------------------------------------------\n# Test _is_running_in_docker\n# ---------------------------------------------------------------------------\n\n\nclass TestIsRunningInDocker:\n    \"\"\"Test _is_running_in_docker static method\"\"\"\n\n    def test_is_running_in_docker_with_dockerenv(self):\n        \"\"\"Test detection when /.dockerenv exists\"\"\"\n\n        def mock_exists(self):\n            if str(self) == str(Path(\"/.dockerenv\")):\n                return True\n            return False\n\n        with patch.object(Path, \"exists\", mock_exists), \\\n                patch.dict(os.environ, {}, clear=True):\n            result = DockerContainerClient._is_running_in_docker()\n            assert result is True\n\n    def test_is_running_in_docker_with_cgroup_docker(self):\n        \"\"\"Test detection when /proc/self/cgroup contains docker\"\"\"\n\n        def mock_exists(self):\n            if str(self) == str(Path(\"/.dockerenv\")):\n                return False\n            if str(self) == str(Path(\"/proc/self/cgroup\")):\n                return True\n            return False\n\n        def mock_read_text(self):\n            if str(self) == str(Path(\"/proc/self/cgroup\")):\n                return \"1:name=systemd:/docker/12345\"\n            return \"\"\n\n        with patch.object(Path, \"exists\", mock_exists), \\\n                patch.object(Path, \"read_text\", mock_read_text), \\\n                patch.dict(os.environ, {}, clear=True):\n            result = DockerContainerClient._is_running_in_docker()\n            assert result is True\n\n    def test_is_running_in_docker_with_cgroup_containerd(self):\n        \"\"\"Test detection when /proc/self/cgroup contains containerd\"\"\"\n\n        def mock_exists(self):\n            if str(self) == str(Path(\"/.dockerenv\")):\n                return False\n            if str(self) == str(Path(\"/proc/self/cgroup\")):\n                return True\n            return False\n\n        def mock_read_text(self):\n            if str(self) == str(Path(\"/proc/self/cgroup\")):\n                return \"1:name=systemd:/containerd/12345\"\n            return \"\"\n\n        with patch.object(Path, \"exists\", mock_exists), \\\n                patch.object(Path, \"read_text\", mock_read_text), \\\n                patch.dict(os.environ, {}, clear=True):\n            result = DockerContainerClient._is_running_in_docker()\n            assert result is True\n\n    def test_is_running_in_docker_ignores_env_var(self):\n        \"\"\"Test detection ignores container environment variable (SDK must not read env)\"\"\"\n\n        def mock_exists(self):\n            return False\n\n        with patch.object(Path, \"exists\", mock_exists), \\\n                patch.dict(os.environ, {\"container\": \"docker\"}):\n            result = DockerContainerClient._is_running_in_docker()\n            assert result is False\n\n    def test_is_running_in_docker_not_in_docker(self):\n        \"\"\"Test detection when not in Docker\"\"\"\n\n        def mock_exists(self):\n            return False\n\n        with patch.object(Path, \"exists\", mock_exists), \\\n                patch.dict(os.environ, {}, clear=True):\n            result = DockerContainerClient._is_running_in_docker()\n            assert result is False\n\n    def test_is_running_in_docker_cgroup_read_exception(self):\n        \"\"\"Test detection when cgroup read raises exception\"\"\"\n\n        def mock_exists(self):\n            if str(self) == str(Path(\"/.dockerenv\")):\n                return False\n            if str(self) == str(Path(\"/proc/self/cgroup\")):\n                return True\n            return False\n\n        def mock_read_text(self):\n            raise IOError(\"Permission denied\")\n\n        with patch.object(Path, \"exists\", mock_exists), \\\n                patch.object(Path, \"read_text\", mock_read_text), \\\n                patch.dict(os.environ, {}, clear=True):\n            result = DockerContainerClient._is_running_in_docker()\n            assert result is False\n\n    def test_is_running_in_docker_cgroup_no_docker(self):\n        \"\"\"Test detection when cgroup exists but doesn't contain docker\"\"\"\n\n        def mock_exists(self):\n            if str(self) == str(Path(\"/.dockerenv\")):\n                return False\n            if str(self) == str(Path(\"/proc/self/cgroup\")):\n                return True\n            return False\n\n        def mock_read_text(self):\n            if str(self) == str(Path(\"/proc/self/cgroup\")):\n                return \"1:name=systemd:/user/12345\"\n            return \"\"\n\n        with patch.object(Path, \"exists\", mock_exists), \\\n                patch.object(Path, \"read_text\", mock_read_text), \\\n                patch.dict(os.environ, {}, clear=True):\n            result = DockerContainerClient._is_running_in_docker()\n            assert result is False\n\n\n# ---------------------------------------------------------------------------\n# Test _get_service_host\n# ---------------------------------------------------------------------------\n\n\nclass TestGetServiceHost:\n    \"\"\"Test _get_service_host static method\"\"\"\n\n    def test_get_service_host_in_docker(self):\n        \"\"\"Test host selection when running in Docker\"\"\"\n        with patch.object(DockerContainerClient, \"_is_running_in_docker\", return_value=True):\n            result = DockerContainerClient._get_service_host(\"test-service\")\n            assert result == \"test-service\"\n\n    def test_get_service_host_local(self):\n        \"\"\"Test host selection when running locally\"\"\"\n        with patch.object(DockerContainerClient, \"_is_running_in_docker\", return_value=False):\n            result = DockerContainerClient._get_service_host(\"test-service\")\n            assert result == \"localhost\"\n\n\n# ---------------------------------------------------------------------------\n# Test find_free_port\n# ---------------------------------------------------------------------------\n\n\nclass TestFindFreePort:\n    \"\"\"Test find_free_port method\"\"\"\n\n    def test_find_free_port_success(self, docker_container_client):\n        \"\"\"Test finding a free port successfully\"\"\"\n        # Mock socket to simulate port being free (connect_ex returns non-zero)\n        with patch(\"socket.socket\") as mock_socket_class:\n            mock_socket = MagicMock()\n            mock_socket.__enter__ = Mock(return_value=mock_socket)\n            mock_socket.__exit__ = Mock(return_value=False)\n            mock_socket.connect_ex.return_value = 1  # Port is free\n            mock_socket_class.return_value = mock_socket\n\n            port = docker_container_client.find_free_port(\n                start_port=5020, max_attempts=10)\n            assert port == 5020\n\n    def test_find_free_port_second_attempt(self, docker_container_client):\n        \"\"\"Test finding free port on second attempt\"\"\"\n        with patch(\"socket.socket\") as mock_socket_class:\n            mock_socket = MagicMock()\n            mock_socket.__enter__ = Mock(return_value=mock_socket)\n            mock_socket.__exit__ = Mock(return_value=False)\n            # First port is in use (0), second is free (1)\n            mock_socket.connect_ex.side_effect = [0, 1]\n            mock_socket_class.return_value = mock_socket\n\n            port = docker_container_client.find_free_port(\n                start_port=5020, max_attempts=10)\n            assert port == 5021\n\n    def test_find_free_port_no_available_port(self, docker_container_client):\n        \"\"\"Test failure when no port is available\"\"\"\n        with patch(\"socket.socket\") as mock_socket_class:\n            mock_socket = MagicMock()\n            mock_socket.__enter__ = Mock(return_value=mock_socket)\n            mock_socket.__exit__ = Mock(return_value=False)\n            mock_socket.connect_ex.return_value = 0  # All ports in use\n            mock_socket_class.return_value = mock_socket\n\n            with pytest.raises(ContainerError, match=\"No available port found\"):\n                docker_container_client.find_free_port(\n                    start_port=5020, max_attempts=5)\n\n    def test_find_free_port_custom_start_port(self, docker_container_client):\n        \"\"\"Test finding free port with custom start port\"\"\"\n        with patch(\"socket.socket\") as mock_socket_class:\n            mock_socket = MagicMock()\n            mock_socket.__enter__ = Mock(return_value=mock_socket)\n            mock_socket.__exit__ = Mock(return_value=False)\n            mock_socket.connect_ex.return_value = 1\n            mock_socket_class.return_value = mock_socket\n\n            port = docker_container_client.find_free_port(\n                start_port=9000, max_attempts=10)\n            assert port == 9000\n\n\n# ---------------------------------------------------------------------------\n# Test _generate_container_name\n# ---------------------------------------------------------------------------\n\n\nclass TestGenerateContainerName:\n    \"\"\"Test _generate_container_name method\"\"\"\n\n    def test_generate_container_name_basic(self, docker_container_client):\n        \"\"\"Test basic container name generation\"\"\"\n        name = docker_container_client._generate_container_name(\n            \"test-service\", \"tenant123\", \"user12345\")\n        assert name == \"mcp-test-service-tenant12-user1234\"\n\n    def test_generate_container_name_with_special_chars(self, docker_container_client):\n        \"\"\"Test container name generation with special characters\"\"\"\n        name = docker_container_client._generate_container_name(\n            \"test@service#123\", \"tenant123\", \"user12345\")\n        assert name == \"mcp-test-service-123-tenant12-user1234\"\n        assert \"@\" not in name\n        assert \"#\" not in name\n\n    def test_generate_container_name_long_user_id(self, docker_container_client):\n        \"\"\"Test container name generation with long user ID\"\"\"\n        long_user_id = \"a\" * 20\n        name = docker_container_client._generate_container_name(\n            \"test-service\", \"tenant123\", long_user_id)\n        # Should only use first 8 characters of tenant_id and user_id\n        assert name == f\"mcp-test-service-tenant12-{long_user_id[:8]}\"\n\n    def test_generate_container_name_short_user_id(self, docker_container_client):\n        \"\"\"Test container name generation with short user ID\"\"\"\n        name = docker_container_client._generate_container_name(\n            \"test-service\", \"tenant123\", \"user\")\n        assert name == \"mcp-test-service-tenant12-user\"\n\n\n# ---------------------------------------------------------------------------\n# Test start_container\n# ---------------------------------------------------------------------------\n\n\nclass TestStartContainer:\n    \"\"\"Test start_container method\"\"\"\n\n    @pytest.mark.asyncio\n    async def test_start_container_existing_running(self, docker_container_client, mock_container):\n        \"\"\"Test starting container when existing container is already running\"\"\"\n        docker_container_client.client.containers.get.return_value = mock_container\n        mock_container.status = \"running\"\n\n        with patch.object(DockerContainerClient, \"_get_service_host\", return_value=\"localhost\"):\n            result = await docker_container_client.start_container(\n                service_name=\"test-service\",\n                tenant_id=\"tenant123\",\n                user_id=\"user12345\",\n                full_command=[\"npx\", \"-y\", \"test-mcp\"],\n            )\n\n            assert result[\"status\"] == \"existing\"\n            assert result[\"container_id\"] == \"test-container-id\"\n            assert \"localhost\" in result[\"service_url\"]\n            docker_container_client.client.containers.get.assert_called_once()\n\n    @pytest.mark.asyncio\n    async def test_start_container_existing_stopped(self, docker_container_client, mock_container):\n        \"\"\"Test starting container when existing container is stopped\"\"\"\n        docker_container_client.client.containers.get.return_value = mock_container\n        mock_container.status = \"stopped\"\n        mock_container.remove.return_value = None\n\n        # Mock new container creation\n        new_container = MagicMock()\n        new_container.id = \"new-container-id\"\n        new_container.status = \"running\"\n        docker_container_client.client.containers.run.return_value = new_container\n\n        with patch.object(DockerContainerClient, \"find_free_port\", return_value=5020), \\\n                patch.object(DockerContainerClient, \"_get_service_host\", return_value=\"localhost\"), \\\n                patch.object(DockerContainerClient, \"_wait_for_service_ready\", new_callable=AsyncMock), \\\n                patch(\"asyncio.sleep\", new_callable=AsyncMock):\n            result = await docker_container_client.start_container(\n                service_name=\"test-service\",\n                tenant_id=\"tenant123\",\n                user_id=\"user12345\",\n                full_command=[\"npx\", \"-y\", \"test-mcp\"],\n            )\n\n            mock_container.remove.assert_called_once_with(force=True)\n            assert result[\"status\"] == \"started\"\n\n    @pytest.mark.asyncio\n    async def test_start_container_not_found(self, docker_container_client):\n        \"\"\"Test starting container when no existing container exists\"\"\"\n        docker_container_client.client.containers.get.side_effect = NotFound(\n            \"Container not found\")\n\n        new_container = MagicMock()\n        new_container.id = \"new-container-id\"\n        new_container.status = \"running\"\n        docker_container_client.client.containers.run.return_value = new_container\n\n        with patch.object(DockerContainerClient, \"find_free_port\", return_value=5020), \\\n                patch.object(DockerContainerClient, \"_get_service_host\", return_value=\"localhost\"), \\\n                patch.object(DockerContainerClient, \"_wait_for_service_ready\", new_callable=AsyncMock), \\\n                patch(\"asyncio.sleep\", new_callable=AsyncMock):\n            result = await docker_container_client.start_container(\n                service_name=\"test-service\",\n                tenant_id=\"tenant123\",\n                user_id=\"user12345\",\n                full_command=[\"npx\", \"-y\", \"test-mcp\"],\n            )\n\n            assert result[\"status\"] == \"started\"\n\n    @pytest.mark.asyncio\n    async def test_start_container_existing_check_error(self, docker_container_client):\n        \"\"\"Test starting container when checking existing container raises error\"\"\"\n        docker_container_client.client.containers.get.side_effect = Exception(\n            \"Connection error\")\n\n        new_container = MagicMock()\n        new_container.id = \"new-container-id\"\n        new_container.status = \"running\"\n        docker_container_client.client.containers.run.return_value = new_container\n\n        with patch.object(DockerContainerClient, \"find_free_port\", return_value=5020), \\\n                patch.object(DockerContainerClient, \"_get_service_host\", return_value=\"localhost\"), \\\n                patch.object(DockerContainerClient, \"_wait_for_service_ready\", new_callable=AsyncMock), \\\n                patch(\"asyncio.sleep\", new_callable=AsyncMock):\n            result = await docker_container_client.start_container(\n                service_name=\"test-service\",\n                tenant_id=\"tenant123\",\n                user_id=\"user12345\",\n                full_command=[\"npx\", \"-y\", \"test-mcp\"],\n            )\n\n            assert result[\"status\"] == \"started\"\n\n    @pytest.mark.asyncio\n    async def test_start_container_find_port_failure(self, docker_container_client):\n        \"\"\"Test starting container when finding free port fails\"\"\"\n        docker_container_client.client.containers.get.side_effect = NotFound(\n            \"Container not found\")\n\n        with patch.object(DockerContainerClient, \"find_free_port\", side_effect=ContainerError(\"No ports available\")):\n            with pytest.raises(ContainerError, match=\"No ports available\"):\n                await docker_container_client.start_container(\n                    service_name=\"test-service\",\n                    tenant_id=\"tenant123\",\n                    user_id=\"user12345\",\n                    full_command=[\"npx\", \"-y\", \"test-mcp\"],\n                )\n\n    @pytest.mark.asyncio\n    async def test_start_container_with_env_vars(self, docker_container_client):\n        \"\"\"Test starting container with environment variables\"\"\"\n        docker_container_client.client.containers.get.side_effect = NotFound(\n            \"Container not found\")\n\n        new_container = MagicMock()\n        new_container.id = \"new-container-id\"\n        new_container.status = \"running\"\n        docker_container_client.client.containers.run.return_value = new_container\n\n        with patch.object(DockerContainerClient, \"find_free_port\", return_value=5020), \\\n                patch.object(DockerContainerClient, \"_get_service_host\", return_value=\"localhost\"), \\\n                patch.object(DockerContainerClient, \"_wait_for_service_ready\", new_callable=AsyncMock), \\\n                patch(\"asyncio.sleep\", new_callable=AsyncMock):\n            env_vars = {\"CUSTOM_VAR\": \"value\", \"ANOTHER_VAR\": \"another_value\"}\n            await docker_container_client.start_container(\n                service_name=\"test-service\",\n                tenant_id=\"tenant123\",\n                user_id=\"user12345\",\n                full_command=[\"npx\", \"-y\", \"test-mcp\"],\n                env_vars=env_vars,\n            )\n\n            # Check that containers.run was called with env vars\n            call_args = docker_container_client.client.containers.run.call_args\n            assert call_args is not None\n            assert \"environment\" in call_args.kwargs\n            assert call_args.kwargs[\"environment\"][\"CUSTOM_VAR\"] == \"value\"\n            assert call_args.kwargs[\"environment\"][\"ANOTHER_VAR\"] == \"another_value\"\n            assert call_args.kwargs[\"environment\"][\"PORT\"] == \"5020\"\n\n    @pytest.mark.asyncio\n    async def test_start_container_npx_command(self, docker_container_client):\n        \"\"\"Test starting container with npx full_command\"\"\"\n        docker_container_client.client.containers.get.side_effect = NotFound(\n            \"Container not found\")\n\n        new_container = MagicMock()\n        new_container.id = \"new-container-id\"\n        new_container.status = \"running\"\n        docker_container_client.client.containers.run.return_value = new_container\n\n        with patch.object(DockerContainerClient, \"find_free_port\", return_value=5020), \\\n                patch.object(DockerContainerClient, \"_get_service_host\", return_value=\"localhost\"), \\\n                patch.object(DockerContainerClient, \"_wait_for_service_ready\", new_callable=AsyncMock), \\\n                patch(\"asyncio.sleep\", new_callable=AsyncMock):\n            await docker_container_client.start_container(\n                service_name=\"test-service\",\n                tenant_id=\"tenant123\",\n                user_id=\"user12345\",\n                full_command=[\"npx\", \"-y\", \"test-mcp\"],\n            )\n\n            call_args = docker_container_client.client.containers.run.call_args\n            assert call_args is not None\n            assert call_args.kwargs[\"image\"] == \"node:22-alpine\"\n            assert call_args.kwargs[\"command\"] == [\"npx\", \"-y\", \"test-mcp\"]\n\n    @pytest.mark.asyncio\n    async def test_start_container_node_command(self, docker_container_client):\n        \"\"\"Test starting container with node full_command\"\"\"\n        docker_container_client.client.containers.get.side_effect = NotFound(\n            \"Container not found\")\n\n        new_container = MagicMock()\n        new_container.id = \"new-container-id\"\n        new_container.status = \"running\"\n        docker_container_client.client.containers.run.return_value = new_container\n\n        with patch.object(DockerContainerClient, \"find_free_port\", return_value=5020), \\\n                patch.object(DockerContainerClient, \"_get_service_host\", return_value=\"localhost\"), \\\n                patch.object(DockerContainerClient, \"_wait_for_service_ready\", new_callable=AsyncMock), \\\n                patch(\"asyncio.sleep\", new_callable=AsyncMock):\n            await docker_container_client.start_container(\n                service_name=\"test-service\",\n                tenant_id=\"tenant123\",\n                user_id=\"user12345\",\n                full_command=[\"node\", \"script.js\"],\n            )\n\n            call_args = docker_container_client.client.containers.run.call_args\n            assert call_args is not None\n            assert call_args.kwargs[\"image\"] == \"node:22-alpine\"\n\n    @pytest.mark.asyncio\n    async def test_start_container_python_command(self, docker_container_client):\n        \"\"\"Test starting container with python full_command\"\"\"\n        docker_container_client.client.containers.get.side_effect = NotFound(\n            \"Container not found\")\n\n        new_container = MagicMock()\n        new_container.id = \"new-container-id\"\n        new_container.status = \"running\"\n        docker_container_client.client.containers.run.return_value = new_container\n\n        with patch.object(DockerContainerClient, \"find_free_port\", return_value=5020), \\\n                patch.object(DockerContainerClient, \"_get_service_host\", return_value=\"localhost\"), \\\n                patch.object(DockerContainerClient, \"_wait_for_service_ready\", new_callable=AsyncMock), \\\n                patch(\"asyncio.sleep\", new_callable=AsyncMock):\n            await docker_container_client.start_container(\n                service_name=\"test-service\",\n                tenant_id=\"tenant123\",\n                user_id=\"user12345\",\n                full_command=[\"python\", \"script.py\"],\n            )\n\n            call_args = docker_container_client.client.containers.run.call_args\n            assert call_args is not None\n            # Non-node commands default to alpine:latest unless overridden\n            assert call_args.kwargs[\"image\"] == \"alpine:latest\"\n\n    @pytest.mark.asyncio\n    async def test_start_container_generic_command(self, docker_container_client):\n        \"\"\"Test starting container with generic full_command\"\"\"\n        docker_container_client.client.containers.get.side_effect = NotFound(\n            \"Container not found\")\n\n        new_container = MagicMock()\n        new_container.id = \"new-container-id\"\n        new_container.status = \"running\"\n        docker_container_client.client.containers.run.return_value = new_container\n\n        with patch.object(DockerContainerClient, \"find_free_port\", return_value=5020), \\\n                patch.object(DockerContainerClient, \"_get_service_host\", return_value=\"localhost\"), \\\n                patch.object(DockerContainerClient, \"_wait_for_service_ready\", new_callable=AsyncMock), \\\n                patch(\"asyncio.sleep\", new_callable=AsyncMock):\n            await docker_container_client.start_container(\n                service_name=\"test-service\",\n                tenant_id=\"tenant123\",\n                user_id=\"user12345\",\n                full_command=[\"custom-command\", \"arg1\", \"arg2\"],\n            )\n\n            call_args = docker_container_client.client.containers.run.call_args\n            assert call_args is not None\n            assert call_args.kwargs[\"image\"] == \"alpine:latest\"\n\n    @pytest.mark.asyncio\n    async def test_start_container_api_error(self, docker_container_client):\n        \"\"\"Test starting container when Docker API error occurs\"\"\"\n        docker_container_client.client.containers.get.side_effect = NotFound(\n            \"Container not found\")\n        docker_container_client.client.containers.run.side_effect = APIError(\n            \"API error\")\n\n        with patch.object(DockerContainerClient, \"find_free_port\", return_value=5020):\n            with pytest.raises(ContainerError, match=\"Container startup failed\"):\n                await docker_container_client.start_container(\n                    service_name=\"test-service\",\n                    tenant_id=\"tenant123\",\n                    user_id=\"user12345\",\n                    full_command=[\"npx\", \"-y\", \"test-mcp\"],\n                )\n\n    @pytest.mark.asyncio\n    async def test_start_container_generic_exception(self, docker_container_client):\n        \"\"\"Test starting container when generic exception occurs\"\"\"\n        docker_container_client.client.containers.get.side_effect = NotFound(\n            \"Container not found\")\n        docker_container_client.client.containers.run.side_effect = Exception(\n            \"Unexpected error\")\n\n        with patch.object(DockerContainerClient, \"find_free_port\", return_value=5020):\n            with pytest.raises(ContainerError, match=\"Container startup failed\"):\n                await docker_container_client.start_container(\n                    service_name=\"test-service\",\n                    tenant_id=\"tenant123\",\n                    user_id=\"user12345\",\n                    full_command=[\"npx\", \"-y\", \"test-mcp\"],\n                )\n\n    @pytest.mark.asyncio\n    async def test_start_container_health_check_failure_container_stopped(self, docker_container_client):\n        \"\"\"Test starting container when health check fails and container stopped\"\"\"\n        docker_container_client.client.containers.get.side_effect = NotFound(\n            \"Container not found\")\n\n        new_container = MagicMock()\n        new_container.id = \"new-container-id\"\n        new_container.status = \"stopped\"\n        new_container.reload.return_value = None\n        docker_container_client.client.containers.run.return_value = new_container\n\n        with patch.object(DockerContainerClient, \"find_free_port\", return_value=5020), \\\n                patch.object(DockerContainerClient, \"_get_service_host\", return_value=\"localhost\"), \\\n                patch.object(DockerContainerClient, \"_wait_for_service_ready\",\n                             side_effect=ContainerConnectionError(\"Service not ready\")), \\\n                patch(\"asyncio.sleep\", new_callable=AsyncMock):\n            with pytest.raises(ContainerError, match=\"stopped unexpectedly\"):\n                await docker_container_client.start_container(\n                    service_name=\"test-service\",\n                    tenant_id=\"tenant123\",\n                    user_id=\"user12345\",\n                    full_command=[\"npx\", \"-y\", \"test-mcp\"],\n                )\n\n    @pytest.mark.asyncio\n    async def test_start_container_health_check_failure_container_not_found(self, docker_container_client):\n        \"\"\"Test starting container when health check fails and container not found\"\"\"\n        docker_container_client.client.containers.get.side_effect = NotFound(\n            \"Container not found\")\n\n        new_container = MagicMock()\n        new_container.id = \"new-container-id\"\n        new_container.status = \"running\"\n        new_container.reload.side_effect = NotFound(\"Container not found\")\n        docker_container_client.client.containers.run.return_value = new_container\n\n        with patch.object(DockerContainerClient, \"find_free_port\", return_value=5020), \\\n                patch.object(DockerContainerClient, \"_get_service_host\", return_value=\"localhost\"), \\\n                patch.object(DockerContainerClient, \"_wait_for_service_ready\",\n                             side_effect=ContainerConnectionError(\"Service not ready\")), \\\n                patch(\"asyncio.sleep\", new_callable=AsyncMock):\n            with pytest.raises(ContainerError, match=\"not found after start\"):\n                await docker_container_client.start_container(\n                    service_name=\"test-service\",\n                    tenant_id=\"tenant123\",\n                    user_id=\"user12345\",\n                    full_command=[\"npx\", \"-y\", \"test-mcp\"],\n                )\n\n    @pytest.mark.asyncio\n    async def test_start_container_health_check_failure_but_running(self, docker_container_client):\n        \"\"\"Test starting container when health check fails but container is running\"\"\"\n        docker_container_client.client.containers.get.side_effect = NotFound(\n            \"Container not found\")\n\n        new_container = MagicMock()\n        new_container.id = \"new-container-id\"\n        new_container.status = \"running\"\n        new_container.reload.return_value = None\n        docker_container_client.client.containers.run.return_value = new_container\n\n        with patch.object(DockerContainerClient, \"find_free_port\", return_value=5020), \\\n                patch.object(DockerContainerClient, \"_get_service_host\", return_value=\"localhost\"), \\\n                patch.object(DockerContainerClient, \"_wait_for_service_ready\",\n                             side_effect=ContainerConnectionError(\"Service not ready\")), \\\n                patch(\"asyncio.sleep\", new_callable=AsyncMock):\n            # Should not raise error, just log warning\n            result = await docker_container_client.start_container(\n                service_name=\"test-service\",\n                tenant_id=\"tenant123\",\n                user_id=\"user12345\",\n                full_command=[\"npx\", \"-y\", \"test-mcp\"],\n            )\n\n            assert result[\"status\"] == \"started\"\n\n    @pytest.mark.asyncio\n    async def test_start_container_existing_no_port_mapping(self, docker_container_client, mock_container):\n        \"\"\"Test starting container when existing container has no port mapping\"\"\"\n        docker_container_client.client.containers.get.return_value = mock_container\n        mock_container.status = \"running\"\n        mock_container.attrs = {\n            \"NetworkSettings\": {\n                \"Ports\": {}\n            }\n        }\n\n        new_container = MagicMock()\n        new_container.id = \"new-container-id\"\n        new_container.status = \"running\"\n        docker_container_client.client.containers.run.return_value = new_container\n\n        with patch.object(DockerContainerClient, \"find_free_port\", return_value=5020), \\\n                patch.object(DockerContainerClient, \"_get_service_host\", return_value=\"localhost\"), \\\n                patch.object(DockerContainerClient, \"_wait_for_service_ready\", new_callable=AsyncMock), \\\n                patch(\"asyncio.sleep\", new_callable=AsyncMock):\n            result = await docker_container_client.start_container(\n                service_name=\"test-service\",\n                tenant_id=\"tenant123\",\n                user_id=\"user12345\",\n                full_command=[\"npx\", \"-y\", \"test-mcp\"],\n            )\n\n            # Should create new container since existing one has no port\n            assert result[\"status\"] == \"started\"\n\n    @pytest.mark.asyncio\n    async def test_start_container_npm_command(self, docker_container_client):\n        \"\"\"Test starting container with npm full_command\"\"\"\n        docker_container_client.client.containers.get.side_effect = NotFound(\n            \"Container not found\")\n\n        new_container = MagicMock()\n        new_container.id = \"new-container-id\"\n        new_container.status = \"running\"\n        docker_container_client.client.containers.run.return_value = new_container\n\n        with patch.object(DockerContainerClient, \"find_free_port\", return_value=5020), \\\n                patch.object(DockerContainerClient, \"_get_service_host\", return_value=\"localhost\"), \\\n                patch.object(DockerContainerClient, \"_wait_for_service_ready\", new_callable=AsyncMock), \\\n                patch(\"asyncio.sleep\", new_callable=AsyncMock):\n            await docker_container_client.start_container(\n                service_name=\"test-service\",\n                tenant_id=\"tenant123\",\n                user_id=\"user12345\",\n                full_command=[\"npm\", \"run\", \"start\"],\n            )\n\n            call_args = docker_container_client.client.containers.run.call_args\n            assert call_args is not None\n            assert call_args.kwargs[\"image\"] == \"node:22-alpine\"\n\n    @pytest.mark.asyncio\n    async def test_start_container_python3_command(self, docker_container_client):\n        \"\"\"Test starting container with python3 full_command\"\"\"\n        docker_container_client.client.containers.get.side_effect = NotFound(\n            \"Container not found\")\n\n        new_container = MagicMock()\n        new_container.id = \"new-container-id\"\n        new_container.status = \"running\"\n        docker_container_client.client.containers.run.return_value = new_container\n\n        with patch.object(DockerContainerClient, \"find_free_port\", return_value=5020), \\\n                patch.object(DockerContainerClient, \"_get_service_host\", return_value=\"localhost\"), \\\n                patch.object(DockerContainerClient, \"_wait_for_service_ready\", new_callable=AsyncMock), \\\n                patch(\"asyncio.sleep\", new_callable=AsyncMock):\n            await docker_container_client.start_container(\n                service_name=\"test-service\",\n                tenant_id=\"tenant123\",\n                user_id=\"user12345\",\n                full_command=[\"python3\", \"script.py\"],\n            )\n\n            call_args = docker_container_client.client.containers.run.call_args\n            assert call_args is not None\n            # Non-node commands default to alpine:latest unless overridden\n            assert call_args.kwargs[\"image\"] == \"alpine:latest\"\n\n    @pytest.mark.asyncio\n    async def test_start_container_bash_command(self, docker_container_client):\n        \"\"\"Test starting container with bash full_command\"\"\"\n        docker_container_client.client.containers.get.side_effect = NotFound(\n            \"Container not found\")\n\n        new_container = MagicMock()\n        new_container.id = \"new-container-id\"\n        new_container.status = \"running\"\n        docker_container_client.client.containers.run.return_value = new_container\n\n        with patch.object(DockerContainerClient, \"find_free_port\", return_value=5020), \\\n                patch.object(DockerContainerClient, \"_get_service_host\", return_value=\"localhost\"), \\\n                patch.object(DockerContainerClient, \"_wait_for_service_ready\", new_callable=AsyncMock), \\\n                patch(\"asyncio.sleep\", new_callable=AsyncMock):\n            await docker_container_client.start_container(\n                service_name=\"test-service\",\n                tenant_id=\"tenant123\",\n                user_id=\"user12345\",\n                full_command=[\"bash\", \"script.sh\"],\n            )\n\n            call_args = docker_container_client.client.containers.run.call_args\n            assert call_args is not None\n            # Non-node commands default to alpine:latest unless overridden\n            assert call_args.kwargs[\"image\"] == \"alpine:latest\"\n\n    @pytest.mark.asyncio\n    async def test_start_container_existing_empty_host_mappings(self, docker_container_client, mock_container):\n        \"\"\"Test starting container when existing container has empty host mappings\"\"\"\n        docker_container_client.client.containers.get.return_value = mock_container\n        mock_container.status = \"running\"\n        mock_container.attrs = {\n            \"NetworkSettings\": {\n                \"Ports\": {\n                    \"5020/tcp\": []\n                }\n            }\n        }\n\n        new_container = MagicMock()\n        new_container.id = \"new-container-id\"\n        new_container.status = \"running\"\n        docker_container_client.client.containers.run.return_value = new_container\n\n        with patch.object(DockerContainerClient, \"find_free_port\", return_value=5020), \\\n                patch.object(DockerContainerClient, \"_get_service_host\", return_value=\"localhost\"), \\\n                patch.object(DockerContainerClient, \"_wait_for_service_ready\", new_callable=AsyncMock), \\\n                patch(\"asyncio.sleep\", new_callable=AsyncMock):\n            result = await docker_container_client.start_container(\n                service_name=\"test-service\",\n                tenant_id=\"tenant123\",\n                user_id=\"user12345\",\n                full_command=[\"npx\", \"-y\", \"test-mcp\"],\n            )\n\n            # Should create new container since existing one has no valid port mapping\n            assert result[\"status\"] == \"started\"\n\n    @pytest.mark.asyncio\n    async def test_start_container_existing_no_hostport(self, docker_container_client, mock_container):\n        \"\"\"Test starting container when existing container has port mapping but no HostPort\"\"\"\n        docker_container_client.client.containers.get.return_value = mock_container\n        mock_container.status = \"running\"\n        mock_container.attrs = {\n            \"NetworkSettings\": {\n                \"Ports\": {\n                    \"5020/tcp\": [{}]  # Empty dict, no HostPort\n                }\n            }\n        }\n\n        new_container = MagicMock()\n        new_container.id = \"new-container-id\"\n        new_container.status = \"running\"\n        docker_container_client.client.containers.run.return_value = new_container\n\n        with patch.object(DockerContainerClient, \"find_free_port\", return_value=5020), \\\n                patch.object(DockerContainerClient, \"_get_service_host\", return_value=\"localhost\"), \\\n                patch.object(DockerContainerClient, \"_wait_for_service_ready\", new_callable=AsyncMock), \\\n                patch(\"asyncio.sleep\", new_callable=AsyncMock):\n            result = await docker_container_client.start_container(\n                service_name=\"test-service\",\n                tenant_id=\"tenant123\",\n                user_id=\"user12345\",\n                full_command=[\"npx\", \"-y\", \"test-mcp\"],\n            )\n\n            # Should create new container since existing one has no HostPort\n            assert result[\"status\"] == \"started\"\n\n    @pytest.mark.asyncio\n    async def test_start_container_existing_multiple_ports(self, docker_container_client, mock_container):\n        \"\"\"Test starting container when existing container has multiple port mappings\"\"\"\n        docker_container_client.client.containers.get.return_value = mock_container\n        mock_container.status = \"running\"\n        mock_container.attrs = {\n            \"NetworkSettings\": {\n                \"Ports\": {\n                    \"5020/tcp\": [{\"HostPort\": \"5020\"}],\n                    \"5021/tcp\": [{\"HostPort\": \"5021\"}],\n                }\n            }\n        }\n\n        with patch.object(DockerContainerClient, \"_get_service_host\", return_value=\"localhost\"):\n            result = await docker_container_client.start_container(\n                service_name=\"test-service\",\n                tenant_id=\"tenant123\",\n                user_id=\"user12345\",\n                full_command=[\"npx\", \"-y\", \"test-mcp\"],\n            )\n\n            # Should use existing container with first available port\n            assert result[\"status\"] == \"existing\"\n            assert result[\"host_port\"] == \"5020\"\n\n    @pytest.mark.asyncio\n    async def test_start_container_existing_no_port_mapping_with_host_port(self, docker_container_client, mock_container):\n        \"\"\"Test starting container when existing container has no port mapping but host_port is provided (line 228-229)\"\"\"\n        docker_container_client.client.containers.get.return_value = mock_container\n        mock_container.status = \"running\"\n        mock_container.attrs = {\n            \"NetworkSettings\": {\n                \"Ports\": {}  # No port mappings\n            }\n        }\n\n        with patch.object(DockerContainerClient, \"_is_running_in_docker\", return_value=False), \\\n                patch.object(DockerContainerClient, \"_get_service_host\", return_value=\"localhost\"):\n            result = await docker_container_client.start_container(\n                service_name=\"test-service\",\n                tenant_id=\"tenant123\",\n                user_id=\"user12345\",\n                full_command=[\"npx\", \"-y\", \"test-mcp\"],\n                host_port=5025,  # Provide host_port parameter\n            )\n\n            # Should use existing container with provided host_port\n            assert result[\"status\"] == \"existing\"\n            assert result[\"host_port\"] == \"5025\"\n\n    @pytest.mark.asyncio\n    async def test_start_container_with_none_full_command(self, docker_container_client):\n        \"\"\"Test starting container with None full_command uses default CMD/ENTRYPOINT\"\"\"\n        docker_container_client.client.containers.get.side_effect = NotFound(\n            \"Container not found\")\n\n        new_container = MagicMock()\n        new_container.id = \"new-container-id\"\n        new_container.status = \"running\"\n        new_container.reload.return_value = None\n        docker_container_client.client.containers.run.return_value = new_container\n\n        with patch.object(DockerContainerClient, \"find_free_port\", return_value=5020), \\\n                patch.object(DockerContainerClient, \"_get_service_host\", return_value=\"localhost\"), \\\n                patch.object(DockerContainerClient, \"_wait_for_service_ready\", new_callable=AsyncMock), \\\n                patch(\"asyncio.sleep\", new_callable=AsyncMock):\n            result = await docker_container_client.start_container(\n                service_name=\"test-service\",\n                tenant_id=\"tenant123\",\n                user_id=\"user12345\",\n                full_command=None,  # No command, use image default\n            )\n\n            assert result[\"status\"] == \"started\"\n            # Check that containers.run was called without command parameter\n            call_args = docker_container_client.client.containers.run.call_args\n            assert call_args is not None\n            assert \"command\" not in call_args.kwargs or call_args.kwargs.get(\n                \"command\") is None\n\n    @pytest.mark.asyncio\n    async def test_start_container_with_empty_full_command(self, docker_container_client):\n        \"\"\"Test starting container with empty full_command list uses default CMD/ENTRYPOINT\"\"\"\n        docker_container_client.client.containers.get.side_effect = NotFound(\n            \"Container not found\")\n\n        new_container = MagicMock()\n        new_container.id = \"new-container-id\"\n        new_container.status = \"running\"\n        new_container.reload.return_value = None\n        docker_container_client.client.containers.run.return_value = new_container\n\n        with patch.object(DockerContainerClient, \"find_free_port\", return_value=5020), \\\n                patch.object(DockerContainerClient, \"_get_service_host\", return_value=\"localhost\"), \\\n                patch.object(DockerContainerClient, \"_wait_for_service_ready\", new_callable=AsyncMock), \\\n                patch(\"asyncio.sleep\", new_callable=AsyncMock):\n            result = await docker_container_client.start_container(\n                service_name=\"test-service\",\n                tenant_id=\"tenant123\",\n                user_id=\"user12345\",\n                full_command=[],  # Empty command list, should use default\n            )\n\n            assert result[\"status\"] == \"started\"\n            # Check that containers.run was called without command parameter\n            call_args = docker_container_client.client.containers.run.call_args\n            assert call_args is not None\n            assert \"command\" not in call_args.kwargs or call_args.kwargs.get(\n                \"command\") is None\n\n    @pytest.mark.asyncio\n    async def test_start_container_with_custom_image(self, docker_container_client):\n        \"\"\"Test starting container with custom image parameter (line 276-277)\"\"\"\n        docker_container_client.client.containers.get.side_effect = NotFound(\n            \"Container not found\")\n\n        new_container = MagicMock()\n        new_container.id = \"new-container-id\"\n        new_container.status = \"running\"\n        new_container.reload.return_value = None\n        docker_container_client.client.containers.run.return_value = new_container\n\n        with patch.object(DockerContainerClient, \"find_free_port\", return_value=5020), \\\n                patch.object(DockerContainerClient, \"_get_service_host\", return_value=\"localhost\"), \\\n                patch.object(DockerContainerClient, \"_wait_for_service_ready\", new_callable=AsyncMock), \\\n                patch(\"asyncio.sleep\", new_callable=AsyncMock):\n            await docker_container_client.start_container(\n                service_name=\"test-service\",\n                tenant_id=\"tenant123\",\n                user_id=\"user12345\",\n                full_command=[\"python\", \"script.py\"],\n                image=\"python:3.11-alpine\",  # Custom image\n            )\n\n            call_args = docker_container_client.client.containers.run.call_args\n            assert call_args is not None\n            assert call_args.kwargs[\"image\"] == \"python:3.11-alpine\"\n\n    @pytest.mark.asyncio\n    async def test_start_container_with_host_port_provided(self, docker_container_client):\n        \"\"\"Test starting container when host_port is provided (line 252 - skip find_free_port)\"\"\"\n        docker_container_client.client.containers.get.side_effect = NotFound(\n            \"Container not found\")\n\n        new_container = MagicMock()\n        new_container.id = \"new-container-id\"\n        new_container.status = \"running\"\n        new_container.reload.return_value = None\n        docker_container_client.client.containers.run.return_value = new_container\n\n        with patch.object(DockerContainerClient, \"find_free_port\") as mock_find_port, \\\n                patch.object(DockerContainerClient, \"_get_service_host\", return_value=\"localhost\"), \\\n                patch.object(DockerContainerClient, \"_wait_for_service_ready\", new_callable=AsyncMock), \\\n                patch(\"asyncio.sleep\", new_callable=AsyncMock), \\\n                patch.object(DockerContainerClient, \"_is_running_in_docker\", return_value=False):\n            await docker_container_client.start_container(\n                service_name=\"test-service\",\n                tenant_id=\"tenant123\",\n                user_id=\"user12345\",\n                full_command=[\"npx\", \"-y\", \"test-mcp\"],\n                host_port=8080,  # Provide host_port, should skip find_free_port\n            )\n\n            # find_free_port should not be called when host_port is provided\n            mock_find_port.assert_not_called()\n            call_args = docker_container_client.client.containers.run.call_args\n            assert call_args.kwargs[\"environment\"][\"PORT\"] == \"8080\"\n\n\n# ---------------------------------------------------------------------------\n# Test _wait_for_service_ready\n# ---------------------------------------------------------------------------\n\n\nclass TestWaitForServiceReady:\n    \"\"\"Test _wait_for_service_ready method\"\"\"\n\n    @pytest.mark.asyncio\n    async def test_wait_for_service_ready_success(self, docker_container_client):\n        \"\"\"Test waiting for service ready successfully\"\"\"\n        mock_client = MagicMock()\n        mock_client.is_connected.return_value = True\n        mock_client.__aenter__ = AsyncMock(return_value=mock_client)\n        mock_client.__aexit__ = AsyncMock(return_value=False)\n\n        with patch(\"nexent.container.docker_client.Client\", return_value=mock_client):\n            await docker_container_client._wait_for_service_ready(\"http://localhost:5020/mcp\", max_retries=5)\n\n    @pytest.mark.asyncio\n    async def test_wait_for_service_ready_retries(self, docker_container_client):\n        \"\"\"Test waiting for service ready with retries\"\"\"\n        mock_client = MagicMock()\n        # First two attempts fail, third succeeds\n        call_count = 0\n\n        def is_connected():\n            nonlocal call_count\n            call_count += 1\n            return call_count >= 3\n        mock_client.is_connected.side_effect = is_connected\n        mock_client.__aenter__ = AsyncMock(return_value=mock_client)\n        mock_client.__aexit__ = AsyncMock(return_value=False)\n\n        with patch(\"nexent.container.docker_client.Client\", return_value=mock_client), \\\n                patch(\"asyncio.sleep\", new_callable=AsyncMock):\n            await docker_container_client._wait_for_service_ready(\"http://localhost:5020/mcp\", max_retries=5, retry_delay=0.1)\n\n    @pytest.mark.asyncio\n    async def test_wait_for_service_ready_max_retries_exceeded(self, docker_container_client):\n        \"\"\"Test waiting for service ready when max retries exceeded\"\"\"\n        mock_client = MagicMock()\n        mock_client.is_connected.return_value = False\n        mock_client.__aenter__ = AsyncMock(return_value=mock_client)\n        mock_client.__aexit__ = AsyncMock(return_value=False)\n\n        with patch(\"nexent.container.docker_client.Client\", return_value=mock_client), \\\n                patch(\"asyncio.sleep\", new_callable=AsyncMock):\n            with pytest.raises(ContainerConnectionError, match=\"Service not ready after\"):\n                await docker_container_client._wait_for_service_ready(\"http://localhost:5020/mcp\", max_retries=3, retry_delay=0.1)\n\n    @pytest.mark.asyncio\n    async def test_wait_for_service_ready_exception(self, docker_container_client):\n        \"\"\"Test waiting for service ready when exception occurs\"\"\"\n        mock_client = MagicMock()\n        mock_client.__aenter__ = AsyncMock(\n            side_effect=Exception(\"Connection error\"))\n        mock_client.__aexit__ = AsyncMock(return_value=False)\n\n        with patch(\"nexent.container.docker_client.Client\", return_value=mock_client), \\\n                patch(\"asyncio.sleep\", new_callable=AsyncMock):\n            with pytest.raises(ContainerConnectionError):\n                await docker_container_client._wait_for_service_ready(\"http://localhost:5020/mcp\", max_retries=3, retry_delay=0.1)\n\n    @pytest.mark.asyncio\n    async def test_wait_for_service_ready_loop_iterations(self, docker_container_client):\n        \"\"\"Test waiting for service ready with multiple loop iterations (line 356)\"\"\"\n        mock_client = MagicMock()\n        # Simulate multiple failures before success to test loop\n        call_count = 0\n\n        def is_connected():\n            nonlocal call_count\n            call_count += 1\n            return call_count >= 5  # Success on 5th attempt\n        mock_client.is_connected.side_effect = is_connected\n        mock_client.__aenter__ = AsyncMock(return_value=mock_client)\n        mock_client.__aexit__ = AsyncMock(return_value=False)\n\n        with patch(\"nexent.container.docker_client.Client\", return_value=mock_client), \\\n                patch(\"asyncio.sleep\", new_callable=AsyncMock) as mock_sleep:\n            await docker_container_client._wait_for_service_ready(\"http://localhost:5020/mcp\", max_retries=10, retry_delay=0.01)\n\n            # Should have slept 4 times (before 5th attempt succeeds)\n            assert mock_sleep.call_count == 4\n\n\n# ---------------------------------------------------------------------------\n# Test stop_container\n# ---------------------------------------------------------------------------\n\n\nclass TestStopContainer:\n    \"\"\"Test stop_container method\"\"\"\n\n    @pytest.mark.asyncio\n    async def test_stop_container_success(self, docker_container_client, mock_container):\n        \"\"\"Test stopping container successfully\"\"\"\n        docker_container_client.client.containers.get.return_value = mock_container\n        mock_container.stop.return_value = None\n\n        result = await docker_container_client.stop_container(\"test-container-id\")\n\n        assert result is True\n        mock_container.stop.assert_called_once_with(timeout=10)\n        mock_container.remove.assert_not_called()\n\n    @pytest.mark.asyncio\n    async def test_stop_container_not_found(self, docker_container_client):\n        \"\"\"Test stopping container that doesn't exist\"\"\"\n        docker_container_client.client.containers.get.side_effect = NotFound(\n            \"Container not found\")\n\n        result = await docker_container_client.stop_container(\"non-existent-container\")\n\n        assert result is False\n\n    @pytest.mark.asyncio\n    async def test_stop_container_api_error(self, docker_container_client, mock_container):\n        \"\"\"Test stopping container when API error occurs\"\"\"\n        docker_container_client.client.containers.get.return_value = mock_container\n        mock_container.stop.side_effect = APIError(\"API error\")\n\n        with pytest.raises(ContainerError, match=\"Failed to stop container\"):\n            await docker_container_client.stop_container(\"test-container-id\")\n\n    @pytest.mark.asyncio\n    async def test_stop_container_generic_exception(self, docker_container_client, mock_container):\n        \"\"\"Test stopping container when generic exception occurs\"\"\"\n        docker_container_client.client.containers.get.return_value = mock_container\n        mock_container.stop.side_effect = Exception(\"Unexpected error\")\n\n        with pytest.raises(ContainerError, match=\"Failed to stop container\"):\n            await docker_container_client.stop_container(\"test-container-id\")\n\n\n# ---------------------------------------------------------------------------\n# Test remove_container\n# ---------------------------------------------------------------------------\n\n\nclass TestRemoveContainer:\n    \"\"\"Test remove_container method\"\"\"\n\n    @pytest.mark.asyncio\n    async def test_remove_container_success(self, docker_container_client, mock_container):\n        \"\"\"Test removing container successfully\"\"\"\n        docker_container_client.client.containers.get.return_value = mock_container\n        mock_container.remove.return_value = None\n\n        result = await docker_container_client.remove_container(\"test-container-id\")\n\n        assert result is True\n        mock_container.remove.assert_called_once()\n\n    @pytest.mark.asyncio\n    async def test_remove_container_not_found(self, docker_container_client):\n        \"\"\"Test removing container that doesn't exist\"\"\"\n        docker_container_client.client.containers.get.side_effect = NotFound(\n            \"Container not found\")\n\n        result = await docker_container_client.remove_container(\"non-existent-container\")\n\n        assert result is False\n\n    @pytest.mark.asyncio\n    async def test_remove_container_api_error(self, docker_container_client, mock_container):\n        \"\"\"Test removing container when API error occurs\"\"\"\n        docker_container_client.client.containers.get.return_value = mock_container\n        mock_container.remove.side_effect = APIError(\"API error\")\n\n        with pytest.raises(ContainerError, match=\"Failed to remove container\"):\n            await docker_container_client.remove_container(\"test-container-id\")\n\n    @pytest.mark.asyncio\n    async def test_remove_container_generic_exception(self, docker_container_client, mock_container):\n        \"\"\"Test removing container when generic exception occurs\"\"\"\n        docker_container_client.client.containers.get.return_value = mock_container\n        mock_container.remove.side_effect = Exception(\"Unexpected error\")\n\n        with pytest.raises(ContainerError, match=\"Failed to remove container\"):\n            await docker_container_client.remove_container(\"test-container-id\")\n\n\n# ---------------------------------------------------------------------------\n# Test list_containers\n# ---------------------------------------------------------------------------\n\n\nclass TestListContainers:\n    \"\"\"Test list_containers method\"\"\"\n\n    def test_list_containers_no_filters(self, docker_container_client, mock_container):\n        \"\"\"Test listing containers without filters\"\"\"\n        docker_container_client.client.containers.list.return_value = [\n            mock_container]\n\n        with patch.object(DockerContainerClient, \"_get_service_host\", return_value=\"localhost\"):\n            result = docker_container_client.list_containers()\n\n            assert len(result) == 1\n            assert result[0][\"container_id\"] == \"test-container-id\"\n            assert result[0][\"name\"] == \"mcp-test-service-tenant12-user1234\"\n            assert result[0][\"status\"] == \"running\"\n            assert result[0][\"host_port\"] == \"5020\"\n\n    def test_list_containers_with_tenant_filter(self, docker_container_client, mock_container):\n        \"\"\"Test listing containers with tenant filter\"\"\"\n        docker_container_client.client.containers.list.return_value = [\n            mock_container]\n\n        with patch.object(DockerContainerClient, \"_get_service_host\", return_value=\"localhost\"):\n            # tenant_id should match first 8 chars of user_id in container name\n            result = docker_container_client.list_containers(\n                tenant_id=\"user1234\")\n\n            assert len(result) == 1\n\n    def test_list_containers_with_tenant_filter_no_match(self, docker_container_client, mock_container):\n        \"\"\"Test listing containers with tenant filter that doesn't match\"\"\"\n        docker_container_client.client.containers.list.return_value = [\n            mock_container]\n\n        with patch.object(DockerContainerClient, \"_get_service_host\", return_value=\"localhost\"):\n            result = docker_container_client.list_containers(\n                tenant_id=\"different\")\n\n            assert len(result) == 0\n\n    def test_list_containers_with_service_filter(self, docker_container_client, mock_container):\n        \"\"\"Test listing containers with service filter\"\"\"\n        docker_container_client.client.containers.list.return_value = [\n            mock_container]\n\n        with patch.object(DockerContainerClient, \"_get_service_host\", return_value=\"localhost\"):\n            result = docker_container_client.list_containers(\n                service_name=\"test-service\")\n\n            assert len(result) == 1\n\n    def test_list_containers_with_service_filter_no_match(self, docker_container_client, mock_container):\n        \"\"\"Test listing containers with service filter that doesn't match\"\"\"\n        docker_container_client.client.containers.list.return_value = [\n            mock_container]\n\n        with patch.object(DockerContainerClient, \"_get_service_host\", return_value=\"localhost\"):\n            result = docker_container_client.list_containers(\n                service_name=\"other-service\")\n\n            assert len(result) == 0\n\n    def test_list_containers_with_both_filters(self, docker_container_client, mock_container):\n        \"\"\"Test listing containers with both tenant and service filters\"\"\"\n        docker_container_client.client.containers.list.return_value = [\n            mock_container]\n\n        with patch.object(DockerContainerClient, \"_get_service_host\", return_value=\"localhost\"):\n            result = docker_container_client.list_containers(\n                tenant_id=\"user1234\",\n                service_name=\"test-service\"\n            )\n\n            assert len(result) == 1\n\n    def test_list_containers_no_port_mapping(self, docker_container_client):\n        \"\"\"Test listing containers without port mapping\"\"\"\n        container = MagicMock()\n        container.id = \"test-container-id\"\n        container.name = \"mcp-test-service-tenant12-user1234\"\n        container.status = \"running\"\n        container.attrs = {\n            \"NetworkSettings\": {\n                \"Ports\": {}\n            }\n        }\n        docker_container_client.client.containers.list.return_value = [\n            container]\n\n        with patch.object(DockerContainerClient, \"_get_service_host\", return_value=\"localhost\"):\n            result = docker_container_client.list_containers()\n\n            assert len(result) == 1\n            assert result[0][\"host_port\"] is None\n            assert result[0][\"service_url\"] is None\n\n    def test_list_containers_empty_port_mapping(self, docker_container_client):\n        \"\"\"Test listing containers with empty port mapping\"\"\"\n        container = MagicMock()\n        container.id = \"test-container-id\"\n        container.name = \"mcp-test-service-tenant12-user1234\"\n        container.status = \"running\"\n        container.attrs = {\n            \"NetworkSettings\": {\n                \"Ports\": {\n                    \"5020/tcp\": []\n                }\n            }\n        }\n        docker_container_client.client.containers.list.return_value = [\n            container]\n\n        with patch.object(DockerContainerClient, \"_get_service_host\", return_value=\"localhost\"):\n            result = docker_container_client.list_containers()\n\n            assert len(result) == 1\n            assert result[0][\"host_port\"] is None\n\n    def test_list_containers_host_port_none_or_empty(self, docker_container_client):\n        \"\"\"Test listing containers when host_port is None or empty string (line 448)\"\"\"\n        container = MagicMock()\n        container.id = \"test-container-id\"\n        container.name = \"mcp-test-service-tenant12-user1234\"\n        container.status = \"running\"\n        container.attrs = {\n            \"NetworkSettings\": {\n                \"Ports\": {\n                    \"5020/tcp\": [{\"HostPort\": None}],  # None value\n                    \"5021/tcp\": [{\"HostPort\": \"\"}],   # Empty string\n                }\n            }\n        }\n        docker_container_client.client.containers.list.return_value = [\n            container]\n\n        with patch.object(DockerContainerClient, \"_get_service_host\", return_value=\"localhost\"), \\\n                patch.object(DockerContainerClient, \"_is_running_in_docker\", return_value=False):\n            result = docker_container_client.list_containers()\n\n            assert len(result) == 1\n            # Should not break on None or empty HostPort\n            # When HostPort is empty string, it will be returned as empty string (not None)\n            # Since the last HostPort value is empty string, host_port will be empty string\n            assert result[0][\"host_port\"] == \"\"\n\n    def test_list_containers_exception(self, docker_container_client):\n        \"\"\"Test listing containers when exception occurs\"\"\"\n        docker_container_client.client.containers.list.side_effect = Exception(\n            \"Connection error\")\n\n        result = docker_container_client.list_containers()\n\n        assert result == []\n\n    def test_list_containers_service_filter_special_chars(self, docker_container_client, mock_container):\n        \"\"\"Test listing containers with service filter containing special characters\"\"\"\n        docker_container_client.client.containers.list.return_value = [\n            mock_container]\n\n        with patch.object(DockerContainerClient, \"_get_service_host\", return_value=\"localhost\"):\n            # Service name with special chars should be sanitized\n            result = docker_container_client.list_containers(\n                service_name=\"test@service#123\")\n\n            # Should match because sanitized name is \"test-service-123\"\n            # Actually will not match because container name is \"mcp-test-service-tenant12-user1234\"\n            assert len(result) == 0\n\n\n# ---------------------------------------------------------------------------\n# Test get_container_logs\n# ---------------------------------------------------------------------------\n\n\nclass TestGetContainerLogs:\n    \"\"\"Test get_container_logs method\"\"\"\n\n    def test_get_container_logs_success(self, docker_container_client, mock_container):\n        \"\"\"Test getting container logs successfully\"\"\"\n        mock_container.logs.return_value = b\"Log line 1\\nLog line 2\\nLog line 3\"\n        docker_container_client.client.containers.get.return_value = mock_container\n\n        logs = docker_container_client.get_container_logs(\n            \"test-container-id\", tail=100)\n\n        assert logs == \"Log line 1\\nLog line 2\\nLog line 3\"\n        mock_container.logs.assert_called_once_with(\n            tail=100, stdout=True, stderr=True)\n\n    def test_get_container_logs_custom_tail(self, docker_container_client, mock_container):\n        \"\"\"Test getting container logs with custom tail\"\"\"\n        mock_container.logs.return_value = b\"Log line 1\\nLog line 2\"\n        docker_container_client.client.containers.get.return_value = mock_container\n\n        logs = docker_container_client.get_container_logs(\n            \"test-container-id\", tail=50)\n\n        mock_container.logs.assert_called_once_with(\n            tail=50, stdout=True, stderr=True)\n\n    def test_get_container_logs_not_found(self, docker_container_client):\n        \"\"\"Test getting logs for non-existent container\"\"\"\n        docker_container_client.client.containers.get.side_effect = NotFound(\n            \"Container not found\")\n\n        logs = docker_container_client.get_container_logs(\n            \"non-existent-container\")\n\n        assert logs == \"\"\n\n    def test_get_container_logs_decode_error(self, docker_container_client, mock_container):\n        \"\"\"Test getting container logs with decode error\"\"\"\n        # Simulate binary data that can't be decoded as UTF-8\n        mock_container.logs.return_value = b\"\\xff\\xfe\\x00\\x01\"\n        docker_container_client.client.containers.get.return_value = mock_container\n\n        logs = docker_container_client.get_container_logs(\"test-container-id\")\n\n        # Should handle decode error gracefully\n        assert isinstance(logs, str)\n\n    def test_get_container_logs_exception(self, docker_container_client):\n        \"\"\"Test getting container logs when exception occurs\"\"\"\n        docker_container_client.client.containers.get.side_effect = Exception(\n            \"Connection error\")\n\n        logs = docker_container_client.get_container_logs(\"test-container-id\")\n\n        assert \"Error retrieving logs\" in logs\n\n\n# ---------------------------------------------------------------------------\n# Test get_container_status\n# ---------------------------------------------------------------------------\n\n\nclass TestGetContainerStatus:\n    \"\"\"Test get_container_status method\"\"\"\n\n    def test_get_container_status_success(self, docker_container_client, mock_container):\n        \"\"\"Test getting container status successfully\"\"\"\n        docker_container_client.client.containers.get.return_value = mock_container\n        with patch.object(DockerContainerClient, \"_get_service_host\", return_value=\"localhost\"):\n            result = docker_container_client.get_container_status(\n                \"test-container-id\")\n\n            assert result is not None\n            assert result[\"container_id\"] == \"test-container-id\"\n            assert result[\"name\"] == \"mcp-test-service-tenant12-user1234\"\n            assert result[\"status\"] == \"running\"\n            assert result[\"host_port\"] == \"5020\"\n            assert result[\"created\"] == \"2024-01-01T00:00:00Z\"\n            assert result[\"image\"] == \"node:22-alpine\"\n\n    def test_get_container_status_not_found(self, docker_container_client):\n        \"\"\"Test getting status for non-existent container\"\"\"\n        docker_container_client.client.containers.get.side_effect = NotFound(\n            \"Container not found\")\n\n        result = docker_container_client.get_container_status(\n            \"non-existent-container\")\n\n        assert result is None\n\n    def test_get_container_status_no_port_mapping(self, docker_container_client):\n        \"\"\"Test getting container status without port mapping\"\"\"\n        container = MagicMock()\n        container.id = \"test-container-id\"\n        container.name = \"mcp-test-service-tenant12-user1234\"\n        container.status = \"running\"\n        container.attrs = {\n            \"NetworkSettings\": {\n                \"Ports\": {}\n            },\n            \"Created\": \"2024-01-01T00:00:00Z\",\n            \"Config\": {\"Image\": \"node:22-alpine\"},\n        }\n        docker_container_client.client.containers.get.return_value = container\n\n        with patch.object(DockerContainerClient, \"_get_service_host\", return_value=\"localhost\"):\n            result = docker_container_client.get_container_status(\n                \"test-container-id\")\n\n            assert result is not None\n            assert result[\"host_port\"] is None\n            assert result[\"service_url\"] is None\n\n    def test_get_container_status_exception(self, docker_container_client):\n        \"\"\"Test getting container status when exception occurs\"\"\"\n        docker_container_client.client.containers.get.side_effect = Exception(\n            \"Connection error\")\n\n        result = docker_container_client.get_container_status(\n            \"test-container-id\")\n\n        assert result is None\n\n    def test_get_container_status_empty_port_mapping(self, docker_container_client):\n        \"\"\"Test getting container status with empty port mapping\"\"\"\n        container = MagicMock()\n        container.id = \"test-container-id\"\n        container.name = \"mcp-test-service-tenant12-user1234\"\n        container.status = \"running\"\n        container.attrs = {\n            \"NetworkSettings\": {\n                \"Ports\": {\n                    \"5020/tcp\": []\n                }\n            },\n            \"Created\": \"2024-01-01T00:00:00Z\",\n            \"Config\": {\"Image\": \"node:22-alpine\"},\n        }\n        docker_container_client.client.containers.get.return_value = container\n\n        with patch.object(DockerContainerClient, \"_get_service_host\", return_value=\"localhost\"):\n            result = docker_container_client.get_container_status(\n                \"test-container-id\")\n\n            assert result is not None\n            assert result[\"host_port\"] is None\n\n    def test_get_container_status_host_port_none_or_empty(self, docker_container_client):\n        \"\"\"Test getting container status when host_port is None or empty string (line 513)\"\"\"\n        container = MagicMock()\n        container.id = \"test-container-id\"\n        container.name = \"mcp-test-service-tenant12-user1234\"\n        container.status = \"running\"\n        container.attrs = {\n            \"NetworkSettings\": {\n                \"Ports\": {\n                    \"5020/tcp\": [{\"HostPort\": None}],  # None value\n                    \"5021/tcp\": [{\"HostPort\": \"\"}],   # Empty string\n                }\n            },\n            \"Created\": \"2024-01-01T00:00:00Z\",\n            \"Config\": {\"Image\": \"node:22-alpine\"},\n        }\n        docker_container_client.client.containers.get.return_value = container\n\n        with patch.object(DockerContainerClient, \"_get_service_host\", return_value=\"localhost\"), \\\n                patch.object(DockerContainerClient, \"_is_running_in_docker\", return_value=False):\n            result = docker_container_client.get_container_status(\n                \"test-container-id\")\n\n            assert result is not None\n            # Should not break on None or empty HostPort\n            # When HostPort is empty string, it will be returned as empty string (not None)\n            # Since the last HostPort value is empty string, host_port will be empty string\n            assert result[\"host_port\"] == \"\"\n\n\n# ---------------------------------------------------------------------------\n# Test _ensure_network\n# ---------------------------------------------------------------------------\n\n\nclass TestEnsureNetwork:\n    \"\"\"Test _ensure_network method\"\"\"\n\n    def test_ensure_network_exists(self, docker_container_client):\n        \"\"\"Test ensuring network when it already exists\"\"\"\n        mock_network = MagicMock()\n        docker_container_client.client.networks.get.return_value = mock_network\n\n        docker_container_client._ensure_network(\"nexent_nexent\")\n\n        docker_container_client.client.networks.get.assert_called_once_with(\n            \"nexent_nexent\")\n        docker_container_client.client.networks.create.assert_not_called()\n\n    def test_ensure_network_create_new(self, docker_container_client):\n        \"\"\"Test ensuring network when it doesn't exist\"\"\"\n        docker_container_client.client.networks.get.side_effect = NotFound(\n            \"Network not found\")\n        mock_network = MagicMock()\n        docker_container_client.client.networks.create.return_value = mock_network\n\n        docker_container_client._ensure_network(\"nexent_nexent\")\n\n        docker_container_client.client.networks.get.assert_called_once_with(\n            \"nexent_nexent\")\n        docker_container_client.client.networks.create.assert_called_once_with(\n            \"nexent_nexent\")\n\n    def test_ensure_network_race_condition(self, docker_container_client):\n        \"\"\"Test ensuring network when race condition occurs (another process creates it)\"\"\"\n        # First call raises NotFound, create raises APIError, second get succeeds\n        docker_container_client.client.networks.get.side_effect = [\n            NotFound(\"Network not found\"),\n            MagicMock()  # Second call succeeds\n        ]\n        docker_container_client.client.networks.create.side_effect = APIError(\n            \"Network already exists\")\n\n        docker_container_client._ensure_network(\"nexent_nexent\")\n\n        assert docker_container_client.client.networks.get.call_count == 2\n        docker_container_client.client.networks.create.assert_called_once()\n\n    def test_ensure_network_create_fails_then_get_fails(self, docker_container_client):\n        \"\"\"Test ensuring network when create fails and subsequent get also fails\"\"\"\n        docker_container_client.client.networks.get.side_effect = [\n            NotFound(\"Network not found\"),\n            Exception(\"Get failed\")\n        ]\n        docker_container_client.client.networks.create.side_effect = APIError(\n            \"Create failed\")\n\n        with pytest.raises(ContainerError, match=\"Failed to create or get Docker network\"):\n            docker_container_client._ensure_network(\"nexent_nexent\")\n\n    def test_ensure_network_get_api_error(self, docker_container_client):\n        \"\"\"Test ensuring network when get raises APIError\"\"\"\n        docker_container_client.client.networks.get.side_effect = APIError(\n            \"API error\")\n\n        with pytest.raises(ContainerError, match=\"Failed to get Docker network\"):\n            docker_container_client._ensure_network(\"nexent_nexent\")\n\n\n# ---------------------------------------------------------------------------\n# Test _get_container_service_port\n# ---------------------------------------------------------------------------\n\n\nclass TestGetContainerServicePort:\n    \"\"\"Test _get_container_service_port static method\"\"\"\n\n    def test_get_container_service_port_from_env(self):\n        \"\"\"Test getting port from PORT environment variable\"\"\"\n        container = MagicMock()\n        container.attrs = {\n            \"Config\": {\n                \"Env\": [\"PORT=5020\", \"NODE_ENV=production\"]\n            }\n        }\n\n        port = DockerContainerClient._get_container_service_port(container)\n        assert port == \"5020\"\n\n    def test_get_container_service_port_from_published_port(self):\n        \"\"\"Test getting port from published port mapping\"\"\"\n        container = MagicMock()\n        container.attrs = {\n            \"Config\": {\n                \"Env\": []\n            },\n            \"NetworkSettings\": {\n                \"Ports\": {\n                    \"5020/tcp\": [{\"HostPort\": \"5020\"}]\n                }\n            }\n        }\n\n        port = DockerContainerClient._get_container_service_port(container)\n        assert port == \"5020\"\n\n    def test_get_container_service_port_env_takes_precedence(self):\n        \"\"\"Test that PORT env variable takes precedence over published port\"\"\"\n        container = MagicMock()\n        container.attrs = {\n            \"Config\": {\n                \"Env\": [\"PORT=5021\", \"NODE_ENV=production\"]\n            },\n            \"NetworkSettings\": {\n                \"Ports\": {\n                    \"5020/tcp\": [{\"HostPort\": \"5020\"}]\n                }\n            }\n        }\n\n        port = DockerContainerClient._get_container_service_port(container)\n        assert port == \"5021\"\n\n    def test_get_container_service_port_no_env_no_published(self):\n        \"\"\"Test getting port when neither env nor published port exists\"\"\"\n        container = MagicMock()\n        container.attrs = {\n            \"Config\": {\n                \"Env\": []\n            },\n            \"NetworkSettings\": {\n                \"Ports\": {}\n            }\n        }\n\n        port = DockerContainerClient._get_container_service_port(container)\n        assert port is None\n\n    def test_get_container_service_port_empty_env_list(self):\n        \"\"\"Test getting port when env list is empty\"\"\"\n        container = MagicMock()\n        container.attrs = {\n            \"Config\": {\n                \"Env\": None\n            },\n            \"NetworkSettings\": {\n                \"Ports\": {\n                    \"5020/tcp\": [{\"HostPort\": \"5020\"}]\n                }\n            }\n        }\n\n        port = DockerContainerClient._get_container_service_port(container)\n        assert port == \"5020\"\n\n    def test_get_container_service_port_env_exception(self):\n        \"\"\"Test getting port when env access raises exception\"\"\"\n        container = MagicMock()\n        container.attrs = {\n            \"Config\": {\n                \"Env\": Exception(\"Access error\")\n            },\n            \"NetworkSettings\": {\n                \"Ports\": {\n                    \"5020/tcp\": [{\"HostPort\": \"5020\"}]\n                }\n            }\n        }\n\n        port = DockerContainerClient._get_container_service_port(container)\n        assert port == \"5020\"\n\n    def test_get_container_service_port_published_port_exception(self):\n        \"\"\"Test getting port when published port access raises exception\"\"\"\n        container = MagicMock()\n        container.attrs = {\n            \"Config\": {\n                \"Env\": []\n            },\n            \"NetworkSettings\": {\n                \"Ports\": Exception(\"Access error\")\n            }\n        }\n\n        port = DockerContainerClient._get_container_service_port(container)\n        assert port is None\n\n    def test_get_container_service_port_multiple_published_ports(self):\n        \"\"\"Test getting port when multiple published ports exist\"\"\"\n        container = MagicMock()\n        container.attrs = {\n            \"Config\": {\n                \"Env\": []\n            },\n            \"NetworkSettings\": {\n                \"Ports\": {\n                    \"5021/tcp\": [{\"HostPort\": \"5021\"}],\n                    \"5020/tcp\": [{\"HostPort\": \"5020\"}]\n                }\n            }\n        }\n\n        port = DockerContainerClient._get_container_service_port(container)\n        # Should return first available port\n        assert port in [\"5020\", \"5021\"]\n\n    def test_get_container_service_port_empty_host_mappings(self):\n        \"\"\"Test getting port when host mappings are empty\"\"\"\n        container = MagicMock()\n        container.attrs = {\n            \"Config\": {\n                \"Env\": []\n            },\n            \"NetworkSettings\": {\n                \"Ports\": {\n                    \"5020/tcp\": []\n                }\n            }\n        }\n\n        port = DockerContainerClient._get_container_service_port(container)\n        assert port is None\n\n    def test_get_container_service_port_no_hostport(self):\n        \"\"\"Test getting port when host mapping has no HostPort\"\"\"\n        container = MagicMock()\n        container.attrs = {\n            \"Config\": {\n                \"Env\": []\n            },\n            \"NetworkSettings\": {\n                \"Ports\": {\n                    \"5020/tcp\": [{}]  # Empty dict, no HostPort\n                }\n            }\n        }\n\n        port = DockerContainerClient._get_container_service_port(container)\n        assert port is None\n\n    def test_get_container_service_port_non_string_env_item(self):\n        \"\"\"Test getting port when env list contains non-string items (line 131)\"\"\"\n        container = MagicMock()\n        container.attrs = {\n            \"Config\": {\n                # Mixed types\n                \"Env\": [123, \"PORT=5020\", None, {\"key\": \"value\"}]\n            },\n            \"NetworkSettings\": {\n                \"Ports\": {}\n            }\n        }\n\n        port = DockerContainerClient._get_container_service_port(container)\n        # Should still find PORT=5020 despite non-string items\n        assert port == \"5020\"\n\n\n# ---------------------------------------------------------------------------\n# Test start_container in Docker mode\n# ---------------------------------------------------------------------------\n\n\nclass TestStartContainerInDocker:\n    \"\"\"Test start_container method when running inside Docker\"\"\"\n\n    @pytest.mark.asyncio\n    async def test_start_container_in_docker_uses_port_env(self, docker_container_client):\n        \"\"\"Test starting container in Docker mode uses PORT env variable\"\"\"\n        docker_container_client.client.containers.get.side_effect = NotFound(\n            \"Container not found\")\n\n        new_container = MagicMock()\n        new_container.id = \"new-container-id\"\n        new_container.status = \"running\"\n        new_container.reload.return_value = None\n        new_container.attrs = {\n            \"Config\": {\n                \"Env\": [\"PORT=5020\"]\n            },\n            \"NetworkSettings\": {\n                \"Ports\": {}\n            }\n        }\n        docker_container_client.client.containers.run.return_value = new_container\n\n        with patch.object(DockerContainerClient, \"_is_running_in_docker\", return_value=True), \\\n                patch.object(DockerContainerClient, \"_get_service_host\", return_value=\"test-service-user1234\"), \\\n                patch.object(DockerContainerClient, \"_wait_for_service_ready\", new_callable=AsyncMock), \\\n                patch(\"asyncio.sleep\", new_callable=AsyncMock):\n            result = await docker_container_client.start_container(\n                service_name=\"test-service\",\n                tenant_id=\"tenant123\",\n                user_id=\"user12345\",\n                full_command=[\"npx\", \"-y\", \"test-mcp\"],\n            )\n\n            assert result[\"status\"] == \"started\"\n            # Should not publish ports when running in Docker\n            call_args = docker_container_client.client.containers.run.call_args\n            assert \"ports\" not in call_args.kwargs or call_args.kwargs.get(\n                \"ports\") is None\n            # Should use container name as host\n            assert \"test-service-user1234\" in result[\"service_url\"]\n\n    @pytest.mark.asyncio\n    async def test_start_container_in_docker_existing_uses_port_env(self, docker_container_client, mock_container):\n        \"\"\"Test starting container in Docker mode when existing container uses PORT env\"\"\"\n        docker_container_client.client.containers.get.return_value = mock_container\n        mock_container.status = \"running\"\n        mock_container.attrs = {\n            \"Config\": {\n                \"Env\": [\"PORT=5020\", \"NODE_ENV=production\"]\n            },\n            \"NetworkSettings\": {\n                \"Ports\": {}  # No published ports in Docker mode\n            }\n        }\n\n        with patch.object(DockerContainerClient, \"_is_running_in_docker\", return_value=True), \\\n                patch.object(DockerContainerClient, \"_get_service_host\", return_value=\"test-service-user1234\"):\n            result = await docker_container_client.start_container(\n                service_name=\"test-service\",\n                tenant_id=\"tenant123\",\n                user_id=\"user12345\",\n                full_command=[\"npx\", \"-y\", \"test-mcp\"],\n            )\n\n            assert result[\"status\"] == \"existing\"\n            assert result[\"host_port\"] == \"5020\"\n            assert \"test-service-user1234\" in result[\"service_url\"]\n\n    @pytest.mark.asyncio\n    async def test_start_container_in_docker_no_port_env_fallback(self, docker_container_client, mock_container):\n        \"\"\"Test starting container in Docker mode when no PORT env, falls back to host_port param\"\"\"\n        docker_container_client.client.containers.get.return_value = mock_container\n        mock_container.status = \"running\"\n        mock_container.attrs = {\n            \"Config\": {\n                \"Env\": []\n            },\n            \"NetworkSettings\": {\n                \"Ports\": {}\n            }\n        }\n\n        with patch.object(DockerContainerClient, \"_is_running_in_docker\", return_value=True), \\\n                patch.object(DockerContainerClient, \"_get_service_host\", return_value=\"test-service-user1234\"):\n            result = await docker_container_client.start_container(\n                service_name=\"test-service\",\n                tenant_id=\"tenant123\",\n                user_id=\"user12345\",\n                full_command=[\"npx\", \"-y\", \"test-mcp\"],\n                host_port=5021,\n            )\n\n            assert result[\"status\"] == \"existing\"\n            assert result[\"host_port\"] == \"5021\"\n\n    @pytest.mark.asyncio\n    async def test_start_container_in_docker_default_port(self, docker_container_client):\n        \"\"\"Test starting container in Docker mode uses default port 5020\"\"\"\n        docker_container_client.client.containers.get.side_effect = NotFound(\n            \"Container not found\")\n\n        new_container = MagicMock()\n        new_container.id = \"new-container-id\"\n        new_container.status = \"running\"\n        new_container.reload.return_value = None\n        docker_container_client.client.containers.run.return_value = new_container\n\n        with patch.object(DockerContainerClient, \"_is_running_in_docker\", return_value=True), \\\n                patch.object(DockerContainerClient, \"_get_service_host\", return_value=\"test-service-user1234\"), \\\n                patch.object(DockerContainerClient, \"_wait_for_service_ready\", new_callable=AsyncMock), \\\n                patch(\"asyncio.sleep\", new_callable=AsyncMock):\n            result = await docker_container_client.start_container(\n                service_name=\"test-service\",\n                tenant_id=\"tenant123\",\n                user_id=\"user12345\",\n                full_command=[\"npx\", \"-y\", \"test-mcp\"],\n            )\n\n            assert result[\"status\"] == \"started\"\n            # Should use default port 5020 when running in Docker\n            call_args = docker_container_client.client.containers.run.call_args\n            assert call_args.kwargs[\"environment\"][\"PORT\"] == \"5020\"\n            assert \"ports\" not in call_args.kwargs or call_args.kwargs.get(\n                \"ports\") is None\n\n    @pytest.mark.asyncio\n    async def test_start_container_in_docker_existing_no_port(self, docker_container_client, mock_container):\n        \"\"\"Test starting container in Docker mode when existing container has no PORT env and no host_port param\"\"\"\n        docker_container_client.client.containers.get.return_value = mock_container\n        mock_container.status = \"running\"\n        mock_container.attrs = {\n            \"Config\": {\n                \"Env\": []  # No PORT env\n            },\n            \"NetworkSettings\": {\n                \"Ports\": {}  # No published ports\n            }\n        }\n\n        new_container = MagicMock()\n        new_container.id = \"new-container-id\"\n        new_container.status = \"running\"\n        new_container.reload.return_value = None\n        docker_container_client.client.containers.run.return_value = new_container\n\n        with patch.object(DockerContainerClient, \"_is_running_in_docker\", return_value=True), \\\n                patch.object(DockerContainerClient, \"_get_service_host\", return_value=\"test-service-user1234\"), \\\n                patch.object(DockerContainerClient, \"_wait_for_service_ready\", new_callable=AsyncMock), \\\n                patch(\"asyncio.sleep\", new_callable=AsyncMock):\n            # Should create new container since existing one has no port info\n            result = await docker_container_client.start_container(\n                service_name=\"test-service\",\n                tenant_id=\"tenant123\",\n                user_id=\"user12345\",\n                full_command=[\"npx\", \"-y\", \"test-mcp\"],\n            )\n\n            assert result[\"status\"] == \"started\"\n            mock_container.remove.assert_called_once_with(force=True)\n\n\n# ---------------------------------------------------------------------------\n# Test list_containers in Docker mode\n# ---------------------------------------------------------------------------\n\n\nclass TestListContainersInDocker:\n    \"\"\"Test list_containers method when running inside Docker\"\"\"\n\n    def test_list_containers_in_docker_uses_port_env(self, docker_container_client):\n        \"\"\"Test listing containers in Docker mode uses PORT env variable\"\"\"\n        container = MagicMock()\n        container.id = \"test-container-id\"\n        container.name = \"mcp-test-service-tenant12-user1234\"\n        container.status = \"running\"\n        container.attrs = {\n            \"Config\": {\n                \"Env\": [\"PORT=5020\"]\n            },\n            \"NetworkSettings\": {\n                \"Ports\": {}  # No published ports in Docker mode\n            }\n        }\n        docker_container_client.client.containers.list.return_value = [\n            container]\n\n        with patch.object(DockerContainerClient, \"_is_running_in_docker\", return_value=True), \\\n                patch.object(DockerContainerClient, \"_get_service_host\", return_value=\"mcp-test-service-tenant12-user1234\"):\n            result = docker_container_client.list_containers()\n\n            assert len(result) == 1\n            assert result[0][\"host_port\"] == \"5020\"\n            assert result[0][\"service_url\"] == \"http://mcp-test-service-tenant12-user1234:5020/mcp\"\n\n    def test_list_containers_in_docker_no_port_env(self, docker_container_client):\n        \"\"\"Test listing containers in Docker mode when no PORT env variable\"\"\"\n        container = MagicMock()\n        container.id = \"test-container-id\"\n        container.name = \"mcp-test-service-tenant12-user1234\"\n        container.status = \"running\"\n        container.attrs = {\n            \"Config\": {\n                \"Env\": []\n            },\n            \"NetworkSettings\": {\n                \"Ports\": {}\n            }\n        }\n        docker_container_client.client.containers.list.return_value = [\n            container]\n\n        with patch.object(DockerContainerClient, \"_is_running_in_docker\", return_value=True), \\\n                patch.object(DockerContainerClient, \"_get_service_host\", return_value=\"mcp-test-service-tenant12-user1234\"):\n            result = docker_container_client.list_containers()\n\n            assert len(result) == 1\n            assert result[0][\"host_port\"] is None\n            assert result[0][\"service_url\"] is None\n\n\n# ---------------------------------------------------------------------------\n# Test get_container_status in Docker mode\n# ---------------------------------------------------------------------------\n\n\nclass TestGetContainerStatusInDocker:\n    \"\"\"Test get_container_status method when running inside Docker\"\"\"\n\n    def test_get_container_status_in_docker_uses_port_env(self, docker_container_client):\n        \"\"\"Test getting container status in Docker mode uses PORT env variable\"\"\"\n        container = MagicMock()\n        container.id = \"test-container-id\"\n        container.name = \"mcp-test-service-tenant12-user1234\"\n        container.status = \"running\"\n        container.attrs = {\n            \"Config\": {\n                \"Env\": [\"PORT=5020\"],\n                \"Image\": \"node:22-alpine\"\n            },\n            \"NetworkSettings\": {\n                \"Ports\": {}\n            },\n            \"Created\": \"2024-01-01T00:00:00Z\",\n        }\n        docker_container_client.client.containers.get.return_value = container\n\n        with patch.object(DockerContainerClient, \"_is_running_in_docker\", return_value=True), \\\n                patch.object(DockerContainerClient, \"_get_service_host\", return_value=\"mcp-test-service-tenant12-user1234\"):\n            result = docker_container_client.get_container_status(\n                \"test-container-id\")\n\n            assert result is not None\n            assert result[\"host_port\"] == \"5020\"\n            assert result[\"service_url\"] == \"http://mcp-test-service-tenant12-user1234:5020/mcp\"\n\n    def test_get_container_status_in_docker_no_port_env(self, docker_container_client):\n        \"\"\"Test getting container status in Docker mode when no PORT env variable\"\"\"\n        container = MagicMock()\n        container.id = \"test-container-id\"\n        container.name = \"mcp-test-service-tenant12-user1234\"\n        container.status = \"running\"\n        container.attrs = {\n            \"Config\": {\n                \"Env\": []\n            },\n            \"NetworkSettings\": {\n                \"Ports\": {}\n            },\n            \"Created\": \"2024-01-01T00:00:00Z\",\n            \"Config\": {\"Image\": \"node:22-alpine\"},\n        }\n        docker_container_client.client.containers.get.return_value = container\n\n        with patch.object(DockerContainerClient, \"_is_running_in_docker\", return_value=True), \\\n                patch.object(DockerContainerClient, \"_get_service_host\", return_value=\"mcp-test-service-tenant12-user1234\"):\n            result = docker_container_client.get_container_status(\n                \"test-container-id\")\n\n            assert result is not None\n            assert result[\"host_port\"] is None\n            assert result[\"service_url\"] is None\n"
  },
  {
    "path": "test/sdk/container/test_docker_config.py",
    "content": "\"\"\"\nUnit tests for docker_config.py\nTests the DockerContainerConfig class\n\"\"\"\n\nimport os\nimport sys\nimport pytest\nfrom unittest.mock import patch, MagicMock\nfrom nexent.container.docker_config import DockerContainerConfig\n\n\nclass TestDockerContainerConfig:\n    \"\"\"Test cases for DockerContainerConfig class\"\"\"\n\n    def test_init_with_no_parameters(self):\n        \"\"\"Test initialization with no parameters\"\"\"\n        config = DockerContainerConfig()\n\n        assert config._docker_socket_path is None\n        assert config._base_url is None\n\n    def test_init_with_docker_socket_path(self):\n        \"\"\"Test initialization with docker_socket_path\"\"\"\n        config = DockerContainerConfig(docker_socket_path=\"/custom/socket/path\")\n\n        assert config._docker_socket_path == \"/custom/socket/path\"\n\n\n\n\n    def test_container_type_property(self):\n        \"\"\"Test container_type property returns 'docker'\"\"\"\n        config = DockerContainerConfig()\n        \n        assert config.container_type == \"docker\"\n\n    def test_base_url_property_cached(self):\n        \"\"\"Test that base_url property is cached\"\"\"\n        config = DockerContainerConfig()\n\n        url1 = config.base_url\n        url2 = config.base_url\n\n        assert url1 == url2\n        assert config._base_url is not None\n\n\n\n    @patch('sys.platform', 'win32')\n    def test_base_url_windows_default_socket(self):\n        \"\"\"Test base_url uses Windows default socket path\"\"\"\n        config = DockerContainerConfig()\n        \n        assert config.base_url == \"npipe:////./pipe/docker_engine\"\n\n    @patch('sys.platform', 'linux')\n    def test_base_url_unix_default_socket(self):\n        \"\"\"Test base_url uses Unix default socket path\"\"\"\n        config = DockerContainerConfig()\n        \n        assert config.base_url == \"unix:///var/run/docker.sock\"\n\n    @patch('sys.platform', 'darwin')\n    def test_base_url_darwin_default_socket(self):\n        \"\"\"Test base_url uses Unix default socket path on macOS\"\"\"\n        config = DockerContainerConfig()\n        \n        assert config.base_url == \"unix:///var/run/docker.sock\"\n\n    @patch('sys.platform', 'win32')\n    def test_base_url_windows_custom_socket(self):\n        \"\"\"Test base_url with Windows custom socket path\"\"\"\n        config = DockerContainerConfig(docker_socket_path=\"//./pipe/custom_pipe\")\n        \n        assert config.base_url == \"npipe:////./pipe/custom_pipe\"\n\n    @patch('sys.platform', 'linux')\n    def test_base_url_unix_custom_socket(self):\n        \"\"\"Test base_url with Unix custom socket path\"\"\"\n        config = DockerContainerConfig(docker_socket_path=\"/custom/socket/path\")\n        \n        assert config.base_url == \"unix:///custom/socket/path\"\n\n\n    @patch('sys.platform', 'win32')\n    def test_normalize_base_url_windows_empty(self):\n        \"\"\"Test _normalize_base_url on Windows with empty value\"\"\"\n        config = DockerContainerConfig()\n        result = config._normalize_base_url(\"\")\n        \n        assert result == \"npipe:////./pipe/docker_engine\"\n\n    @patch('sys.platform', 'win32')\n    def test_normalize_base_url_windows_named_pipe_forward_slash(self):\n        \"\"\"Test _normalize_base_url on Windows with //./pipe/ format\"\"\"\n        config = DockerContainerConfig()\n        result = config._normalize_base_url(\"//./pipe/docker_engine\")\n        \n        assert result == \"npipe:////./pipe/docker_engine\"\n\n    @patch('sys.platform', 'win32')\n    def test_normalize_base_url_windows_named_pipe_backslash(self):\n        \"\"\"Test _normalize_base_url on Windows with \\\\.\\\\pipe\\\\ format\"\"\"\n        config = DockerContainerConfig()\n        result = config._normalize_base_url(r\"\\\\.\\pipe\\docker_engine\")\n        \n        assert result == r\"npipe://\\\\.\\pipe\\docker_engine\"\n\n    @patch('sys.platform', 'win32')\n    def test_normalize_base_url_windows_other_value(self):\n        \"\"\"Test _normalize_base_url on Windows with other value\"\"\"\n        config = DockerContainerConfig()\n        result = config._normalize_base_url(\"some-value\")\n        \n        assert result == \"npipe://some-value\"\n\n    @patch('sys.platform', 'linux')\n    def test_normalize_base_url_unix_empty(self):\n        \"\"\"Test _normalize_base_url on Unix with empty value\"\"\"\n        config = DockerContainerConfig()\n        result = config._normalize_base_url(\"\")\n        \n        assert result == \"unix:///var/run/docker.sock\"\n\n    @patch('sys.platform', 'linux')\n    def test_normalize_base_url_unix_absolute_path(self):\n        \"\"\"Test _normalize_base_url on Unix with absolute path\"\"\"\n        config = DockerContainerConfig()\n        result = config._normalize_base_url(\"/custom/socket/path\")\n        \n        assert result == \"unix:///custom/socket/path\"\n\n    @patch('sys.platform', 'linux')\n    def test_normalize_base_url_unix_relative_path(self):\n        \"\"\"Test _normalize_base_url on Unix with relative path\"\"\"\n        config = DockerContainerConfig()\n        result = config._normalize_base_url(\"relative/path\")\n        \n        assert result == \"relative/path\"\n\n    @patch('sys.platform', 'linux')\n    def test_normalize_base_url_unix_with_scheme(self):\n        \"\"\"Test _normalize_base_url on Unix with existing scheme\"\"\"\n        config = DockerContainerConfig()\n        result = config._normalize_base_url(\"unix:///var/run/docker.sock\")\n        \n        assert result == \"unix:///var/run/docker.sock\"\n\n    @patch('sys.platform', 'darwin')\n    def test_normalize_base_url_darwin_absolute_path(self):\n        \"\"\"Test _normalize_base_url on macOS with absolute path\"\"\"\n        config = DockerContainerConfig()\n        result = config._normalize_base_url(\"/custom/socket/path\")\n        \n        assert result == \"unix:///custom/socket/path\"\n\n    def test_get_default_socket_path_windows(self):\n        \"\"\"Test _get_default_socket_path on Windows\"\"\"\n        with patch('sys.platform', 'win32'):\n            config = DockerContainerConfig()\n            result = config._get_default_socket_path()\n            \n            assert result == \"//./pipe/docker_engine\"\n\n    def test_get_default_socket_path_unix(self):\n        \"\"\"Test _get_default_socket_path on Unix\"\"\"\n        with patch('sys.platform', 'linux'):\n            config = DockerContainerConfig()\n            result = config._get_default_socket_path()\n            \n            assert result == \"/var/run/docker.sock\"\n\n    def test_get_default_socket_path_darwin(self):\n        \"\"\"Test _get_default_socket_path on macOS\"\"\"\n        with patch('sys.platform', 'darwin'):\n            config = DockerContainerConfig()\n            result = config._get_default_socket_path()\n            \n            assert result == \"/var/run/docker.sock\"\n\n    def test_validate_always_passes(self):\n        \"\"\"Test validate method always passes (no validation errors)\"\"\"\n        config = DockerContainerConfig()\n        \n        # Should not raise any exception\n        config.validate()\n\n\n    def test_base_url_multiple_access(self):\n        \"\"\"Test that base_url can be accessed multiple times\"\"\"\n        config = DockerContainerConfig()\n\n        url1 = config.base_url\n        url2 = config.base_url\n        url3 = config.base_url\n\n        assert url1 == url2 == url3\n\n    def test_base_url_uses_default_socket_path(self):\n        \"\"\"Test base_url uses default socket path\"\"\"\n        config = DockerContainerConfig()\n        # Should use default socket path based on platform\n        url = config.base_url\n        assert url is not None\n\n"
  },
  {
    "path": "test/sdk/core/agents/test_core_agent.py",
    "content": "import json\n\nimport pytest\nfrom unittest.mock import MagicMock, patch\nfrom threading import Event\n\n\n# ---------------------------------------------------------------------------\n# Prepare mocks for external dependencies\n# ---------------------------------------------------------------------------\n\n# Define custom AgentError that stores .message so CoreAgent code can access it\nclass MockAgentError(Exception):\n    def __init__(self, message):\n        self.message = message\n        super().__init__(message)\n\n\nclass MockAgentMaxStepsError(Exception):\n    pass\n\n\n# Mock for smolagents and its sub-modules\nmock_smolagents = MagicMock()\nmock_smolagents.AgentError = MockAgentError\n\nmock_smolagents.handle_agent_output_types = MagicMock(\n    return_value=\"handled_output\")\nmock_smolagents.utils.AgentMaxStepsError = MockAgentMaxStepsError\n\n# Create proper class types for isinstance checks (not MagicMock)\nclass MockActionStep:\n    def __init__(self, *args, **kwargs):\n        self.step_number = kwargs.get('step_number', 1)\n        self.timing = kwargs.get('timing', None)\n        self.observations_images = kwargs.get('observations_images', None)\n        self.model_input_messages = None\n        self.model_output_message = None\n        self.model_output = None\n        self.token_usage = None\n        self.code_action = None\n        self.tool_calls = None\n        self.observations = None\n        self.action_output = None\n        self.is_final_answer = False\n        self.error = None\n\nclass MockTaskStep:\n    def __init__(self, *args, **kwargs):\n        self.task = kwargs.get('task', '')\n        self.task_images = kwargs.get('task_images', None)\n\nclass MockSystemPromptStep:\n    def __init__(self, *args, **kwargs):\n        self.system_prompt = kwargs.get('system_prompt', '')\n\nclass MockFinalAnswerStep:\n    def __init__(self, *args, **kwargs):\n        # Handle both positional and keyword arguments\n        if args:\n            self.output = args[0]\n        else:\n            self.output = kwargs.get('output', '')\n\nclass MockPlanningStep:\n    def __init__(self, *args, **kwargs):\n        self.token_usage = kwargs.get('token_usage', None)\n\nclass MockActionOutput:\n    def __init__(self, *args, **kwargs):\n        self.output = kwargs.get('output', None)\n        self.is_final_answer = kwargs.get('is_final_answer', False)\n\nclass MockRunResult:\n    def __init__(self, *args, **kwargs):\n        self.output = kwargs.get('output', None)\n        self.token_usage = kwargs.get('token_usage', None)\n        self.steps = kwargs.get('steps', [])\n        self.timing = kwargs.get('timing', None)\n        self.state = kwargs.get('state', 'success')\n\nclass MockCodeOutput:\n    \"\"\"Mock object returned by python_executor.\"\"\"\n    def __init__(self, output=None, logs=\"\", is_final_answer=False):\n        self.output = output\n        self.logs = logs\n        self.is_final_answer = is_final_answer\n\n# Assign proper classes to mock_smolagents\nmock_smolagents.ActionStep = MockActionStep\nmock_smolagents.TaskStep = MockTaskStep\nmock_smolagents.SystemPromptStep = MockSystemPromptStep\n\n# Create dummy smolagents sub-modules\nfor sub_mod in [\"agents\", \"memory\", \"models\", \"monitoring\", \"utils\", \"local_python_executor\"]:\n    mock_module = MagicMock()\n    setattr(mock_smolagents, sub_mod, mock_module)\n\n# Assign classes to memory submodule\nmock_smolagents.memory.ActionStep = MockActionStep\nmock_smolagents.memory.TaskStep = MockTaskStep\nmock_smolagents.memory.SystemPromptStep = MockSystemPromptStep\nmock_smolagents.memory.FinalAnswerStep = MockFinalAnswerStep\nmock_smolagents.memory.PlanningStep = MockPlanningStep\nmock_smolagents.memory.ToolCall = MagicMock\n\n# Assign classes to agents submodule\nmock_smolagents.agents.CodeAgent = MagicMock\nmock_smolagents.agents.ActionOutput = MockActionOutput\nmock_smolagents.agents.RunResult = MockRunResult\n\n# Provide actual implementations for commonly used utils functions\n\n\ndef mock_truncate_content(content, max_length=1000):\n    \"\"\"Simple implementation of truncate_content for testing.\"\"\"\n    content_str = str(content)\n    if len(content_str) <= max_length:\n        return content_str\n    return content_str[:max_length] + \"...\"\n\n\nmock_smolagents.utils.truncate_content = mock_truncate_content\n\n# Mock for rich modules\nmock_rich = MagicMock()\nmock_rich_console = MagicMock()\nmock_rich_text = MagicMock()\n\nmodule_mocks = {\n    \"smolagents\": mock_smolagents,\n    \"smolagents.agents\": mock_smolagents.agents,\n    \"smolagents.memory\": mock_smolagents.memory,\n    \"smolagents.models\": mock_smolagents.models,\n    \"smolagents.monitoring\": mock_smolagents.monitoring,\n    \"smolagents.utils\": mock_smolagents.utils,\n    \"smolagents.local_python_executor\": mock_smolagents.local_python_executor,\n    \"rich.console\": mock_rich_console,\n    \"rich.text\": mock_rich_text\n}\n\n# ---------------------------------------------------------------------------\n# Import the classes under test with patched dependencies\n# ---------------------------------------------------------------------------\nwith patch.dict(\"sys.modules\", module_mocks):\n    from sdk.nexent.core.utils.observer import MessageObserver, ProcessType\n    from sdk.nexent.core.agents.core_agent import CoreAgent as ImportedCoreAgent\n    import sys\n\n    core_agent_module = sys.modules['sdk.nexent.core.agents.core_agent']\n    # Override AgentError inside the imported module to ensure it has message attr\n    core_agent_module.AgentError = MockAgentError\n    core_agent_module.AgentMaxStepsError = MockAgentMaxStepsError\n    # Override classes to use our mock classes for isinstance checks\n    core_agent_module.FinalAnswerStep = MockFinalAnswerStep\n    core_agent_module.ActionStep = MockActionStep\n    core_agent_module.PlanningStep = MockPlanningStep\n    core_agent_module.ActionOutput = MockActionOutput\n    core_agent_module.RunResult = MockRunResult\n    # Override CodeAgent to be a proper class that can be inherited\n    class MockCodeAgent:\n        def __init__(self, prompt_templates=None, *args, **kwargs):\n            # Accept any arguments but don't require observer\n            # Store attributes that might be accessed\n            self.prompt_templates = prompt_templates\n            # Initialize common attributes that CodeAgent might have\n            for key, value in kwargs.items():\n                setattr(self, key, value)\n    core_agent_module.CodeAgent = MockCodeAgent\n    CoreAgent = ImportedCoreAgent\n\n\n# ----------------------------------------------------------------------------\n# Fixtures\n# ----------------------------------------------------------------------------\n\n@pytest.fixture\ndef mock_observer():\n    \"\"\"Return a mocked MessageObserver instance.\"\"\"\n    observer = MagicMock(spec=MessageObserver)\n    return observer\n\n\n@pytest.fixture\ndef core_agent_instance(mock_observer):\n    \"\"\"Create a CoreAgent instance with minimal initialization.\"\"\"\n    prompt_templates = {\n        \"managed_agent\": {\n            \"task\": \"Task template: {task}\",\n            \"report\": \"Report template: {final_answer}\"\n        }\n    }\n    agent = CoreAgent(\n        observer=mock_observer,\n        prompt_templates=prompt_templates,\n        name=\"test_agent\"\n    )\n    agent.stop_event = Event()\n    agent.memory = MagicMock()\n    agent.memory.steps = []\n    agent.memory.get_full_steps = MagicMock(return_value=[])\n    agent.python_executor = MagicMock()\n    \n    # Mock logger with all required methods\n    agent.logger = MagicMock()\n    agent.logger.log = MagicMock()\n    agent.logger.log_task = MagicMock()\n    agent.logger.log_markdown = MagicMock()\n    agent.logger.log_code = MagicMock()\n\n    agent.step_number = 1\n    agent._execute_step = MagicMock()\n    agent._finalize_step = MagicMock()\n    agent._handle_max_steps_reached = MagicMock()\n    \n    # Set default attributes that might be needed\n    agent.max_steps = 5\n    agent.state = {}\n    agent.system_prompt = \"test system prompt\"\n    agent.return_full_result = False\n    agent.provide_run_summary = False\n    agent.tools = {}\n    agent.managed_agents = {}\n    agent.monitor = MagicMock()\n    agent.monitor.reset = MagicMock()\n    agent.model = MagicMock()\n    if hasattr(agent.model, 'model_id'):\n        agent.model.model_id = \"test-model\"\n    agent.code_block_tags = [\"```\", \"```\"]\n    agent._use_structured_outputs_internally = False\n    agent.final_answer_checks = None  # Set to avoid MagicMock creating new CoreAgent instances\n\n    return agent\n\n\n@pytest.fixture(autouse=True)\ndef reset_token_usage_mock():\n    \"\"\"Ensure TokenUsage mock does not leak state between tests.\"\"\"\n    token_usage = getattr(core_agent_module, \"TokenUsage\", None)\n    if hasattr(token_usage, \"reset_mock\"):\n        token_usage.reset_mock()\n    yield\n\n\n# ----------------------------------------------------------------------------\n# Tests for _run method\n# ----------------------------------------------------------------------------\n\ndef test_run_normal_execution(core_agent_instance):\n    \"\"\"Test normal execution path of _run method.\"\"\"\n    # Setup\n    task = \"test task\"\n    max_steps = 3\n\n    # Mock _step_stream to return a generator that yields ActionOutput with final answer\n    def mock_step_stream(action_step):\n        action_output = MockActionOutput(output=\"final_answer\", is_final_answer=True)\n        yield action_output\n\n    with patch.object(core_agent_instance, '_step_stream', side_effect=mock_step_stream) as mock_step_stream_patch, \\\n            patch.object(core_agent_instance, '_finalize_step') as mock_finalize_step:\n        core_agent_instance.step_number = 1\n\n        # Execute\n        result = list(core_agent_instance._run_stream(task, max_steps))\n\n        # Assertions\n        # _run_stream yields: ActionOutput from _step_stream + action step + final answer step\n        assert len(result) == 3\n        assert isinstance(result[0], MockActionOutput)  # ActionOutput from _step_stream\n        assert isinstance(result[1], MockActionStep)  # Action step\n        assert isinstance(result[2], MockFinalAnswerStep)  # Final answer step\n\n\ndef test_run_with_max_steps_reached(core_agent_instance):\n    \"\"\"Test _run method when max steps are reached without final answer.\"\"\"\n    # Setup\n    task = \"test task\"\n    max_steps = 2\n\n    # Mock _step_stream to return ActionOutput without final answer\n    def mock_step_stream(action_step):\n        action_output = MockActionOutput(output=None, is_final_answer=False)\n        yield action_output\n\n    with patch.object(core_agent_instance, '_step_stream', side_effect=mock_step_stream) as mock_step_stream_patch, \\\n            patch.object(core_agent_instance, '_finalize_step') as mock_finalize_step, \\\n            patch.object(core_agent_instance, '_handle_max_steps_reached',\n                         return_value=\"max_steps_reached\") as mock_handle_max:\n        core_agent_instance.step_number = 1\n\n        # Execute\n        result = list(core_agent_instance._run_stream(task, max_steps))\n\n        # Assertions\n        # For 2 steps: (ActionOutput + action_step) * 2 + final_action_step + final_answer_step = 6\n        assert len(result) >= 5\n        # First step: ActionOutput + ActionStep\n        assert isinstance(result[0], MockActionOutput)  # First ActionOutput\n        assert isinstance(result[1], MockActionStep)  # First action step\n        # Second step: ActionOutput + ActionStep\n        assert isinstance(result[2], MockActionOutput)  # Second ActionOutput\n        assert isinstance(result[3], MockActionStep)  # Second action step\n        # Last should be final answer step\n        assert isinstance(result[-1], MockFinalAnswerStep)  # Final answer step\n\n        # Verify method calls\n        assert mock_step_stream_patch.call_count == 2\n        mock_handle_max.assert_called_once()\n        assert mock_finalize_step.call_count == 2\n\n\ndef test_run_with_stop_event(core_agent_instance):\n    \"\"\"Test _run method when stop event is set.\"\"\"\n    # Setup\n    task = \"test task\"\n    max_steps = 3\n\n    def mock_step_stream(action_step):\n        core_agent_instance.stop_event.set()\n        action_output = MockActionOutput(output=None, is_final_answer=False)\n        yield action_output\n\n    # Mock handle_agent_output_types to return the input value (identity function)\n    # This way when final_answer = \"<user_break>\", it will be passed through\n    with patch.object(core_agent_module, 'handle_agent_output_types', side_effect=lambda x: x):\n        # Mock _step_stream to set stop event\n        with patch.object(core_agent_instance, '_step_stream', side_effect=mock_step_stream):\n            with patch.object(core_agent_instance, '_finalize_step'):\n                # Execute\n                result = list(core_agent_instance._run_stream(task, max_steps))\n\n        # Assertions\n        # Should yield: ActionOutput from _step_stream + action step + final answer step\n        assert len(result) == 3\n        assert isinstance(result[0], MockActionOutput)  # ActionOutput from _step_stream\n        assert isinstance(result[1], MockActionStep)  # Action step\n        # Final answer step with \"<user_break>\"\n        assert isinstance(result[2], MockFinalAnswerStep)\n        assert result[2].output == \"<user_break>\"\n\n\ndef test_run_with_final_answer_error(core_agent_instance):\n    \"\"\"Test _run method when FinalAnswerError occurs in _step_stream.\"\"\"\n    # Setup\n    task = \"test task\"\n    max_steps = 3\n\n    # Mock _step_stream to raise FinalAnswerError\n    with patch.object(core_agent_instance, '_step_stream',\n                      side_effect=core_agent_module.FinalAnswerError()) as mock_step_stream, \\\n            patch.object(core_agent_instance, '_finalize_step'):\n        # Execute\n        result = list(core_agent_instance._run_stream(task, max_steps))\n\n    # Assertions\n    # When FinalAnswerError occurs, it should yield action step + final answer step\n    assert len(result) == 2\n    assert isinstance(result[0], MockActionStep)  # Action step\n    assert isinstance(result[1], MockFinalAnswerStep)  # Final answer step\n\n\ndef test_run_with_final_answer_error_and_model_output(core_agent_instance):\n    \"\"\"Test _run method when FinalAnswerError occurs with model_output conversion.\"\"\"\n    # Setup\n    task = \"test task\"\n    max_steps = 3\n\n    # Mock _step_stream to set model_output and then raise FinalAnswerError\n    def mock_step_stream(action_step):\n        action_step.model_output = \"```<DISPLAY:python>\\nprint('hello')\\n```<END_DISPLAY_CODE>\"\n        raise core_agent_module.FinalAnswerError()\n\n    with patch.object(core_agent_instance, '_step_stream', side_effect=mock_step_stream), \\\n            patch.object(core_agent_module, 'convert_code_format', return_value=\"```python\\nprint('hello')\\n```\") as mock_convert, \\\n            patch.object(core_agent_instance, '_finalize_step'):\n        # Execute\n        result = list(core_agent_instance._run_stream(task, max_steps))\n\n    # Assertions\n    assert len(result) == 2\n    assert isinstance(result[0], MockActionStep)  # Action step\n    assert isinstance(result[1], MockFinalAnswerStep)  # Final answer step\n    # Verify convert_code_format was called\n    mock_convert.assert_called_once_with(\n        \"```<DISPLAY:python>\\nprint('hello')\\n```<END_DISPLAY_CODE>\")\n\n\ndef test_run_with_agent_error_updated(core_agent_instance):\n    \"\"\"Test _run method when AgentError occurs (updated to handle FinalAnswerError separately).\"\"\"\n    # Setup\n    task = \"test task\"\n    max_steps = 3\n\n    # Mock _step_stream to raise AgentError\n    with patch.object(core_agent_instance, '_step_stream',\n                      side_effect=MockAgentError(\"test error\")) as mock_step_stream, \\\n            patch.object(core_agent_instance, '_finalize_step'):\n        # Execute\n        result = list(core_agent_instance._run_stream(task, max_steps))\n\n    # Assertions\n    # When AgentError occurs, it should yield action step + final answer step\n    # But the error causes the loop to continue, so we get multiple action steps\n    assert len(result) >= 2\n    assert isinstance(result[0], MockActionStep)  # Action step with error\n    # Last item should be final answer step\n    assert isinstance(result[-1], MockFinalAnswerStep)  # Final answer step\n\n\ndef test_run_with_agent_parse_error_branch_updated(core_agent_instance):\n    \"\"\"Test the branch that handles FinalAnswerError with model_output conversion.\"\"\"\n    task = \"parse task\"\n    max_steps = 1\n\n    # Mock _step_stream to set model_output and then raise FinalAnswerError\n    def mock_step_stream(action_step):\n        action_step.model_output = \"```<DISPLAY:python>\\nprint('hello')\\n```<END_DISPLAY_CODE>\"\n        raise core_agent_module.FinalAnswerError()\n\n    with patch.object(core_agent_instance, '_step_stream', side_effect=mock_step_stream), \\\n            patch.object(core_agent_module, 'convert_code_format', return_value=\"```python\\nprint('hello')\\n```\") as mock_convert, \\\n            patch.object(core_agent_instance, '_finalize_step'):\n        results = list(core_agent_instance._run_stream(task, max_steps))\n\n    # _run should yield action step + final answer step\n    assert len(results) == 2\n    assert isinstance(results[0], MockActionStep)  # Action step\n    assert isinstance(results[1], MockFinalAnswerStep)  # Final answer step\n    # Verify convert_code_format was called\n    mock_convert.assert_called_once_with(\n        \"```<DISPLAY:python>\\nprint('hello')\\n```<END_DISPLAY_CODE>\")\n\n\ndef test_run_stream_validates_final_answer_when_checks_enabled(core_agent_instance):\n    \"\"\"Ensure _run_stream triggers final answer validation when checks are configured.\"\"\"\n    task = \"validate task\"\n    core_agent_instance.final_answer_checks = [\"non-empty\"]\n    core_agent_instance._validate_final_answer = MagicMock()\n\n    def mock_step_stream(action_step):\n        yield MockActionOutput(output=\"final answer\", is_final_answer=True)\n\n    with patch.object(core_agent_instance, '_step_stream', side_effect=mock_step_stream), \\\n            patch.object(core_agent_instance, '_finalize_step'):\n        result = list(core_agent_instance._run_stream(task, max_steps=1))\n\n    assert len(result) == 3  # ActionOutput, ActionStep, FinalAnswerStep\n    core_agent_instance._validate_final_answer.assert_called_once_with(\"final answer\")\ndef test_convert_code_format_display_replacements():\n    \"\"\"Validate convert_code_format correctly transforms <DISPLAY:language> format to standard markdown.\"\"\"\n\n    original_text = \"\"\"Here is code:\n```<DISPLAY:python>\nprint('hello')\n```<END_DISPLAY_CODE>\nAnd some more text.\"\"\"\n\n    expected_text = \"\"\"Here is code:\n```python\nprint('hello')\n```\nAnd some more text.\"\"\"\n\n    transformed = core_agent_module.convert_code_format(original_text)\n\n    assert transformed == expected_text, \"convert_code_format did not perform expected <DISPLAY> replacements\"\n\n\ndef test_convert_code_format_display_without_end_code():\n    \"\"\"Validate convert_code_format handles <DISPLAY:language> without <END_CODE>.\"\"\"\n\n    original_text = \"\"\"Here is code:\n```<DISPLAY:python>\nprint('hello')\n```\nAnd some more text.\"\"\"\n\n    expected_text = \"\"\"Here is code:\n```python\nprint('hello')\n```\nAnd some more text.\"\"\"\n\n    transformed = core_agent_module.convert_code_format(original_text)\n\n    # Should remain unchanged since there's no <END_CODE>\n    assert transformed == expected_text, \"convert_code_format should not modify text without <END_CODE>\"\n\n\ndef test_convert_code_format_legacy_replacements():\n    \"\"\"Validate convert_code_format correctly transforms legacy code fences.\"\"\"\n\n    original_text = \"\"\"Here is code:\n```code:python\nprint('hello')\n```\nAnd some more text.\"\"\"\n\n    expected_text = \"\"\"Here is code:\n```python\nprint('hello')\n```\nAnd some more text.\"\"\"\n\n    transformed = core_agent_module.convert_code_format(original_text)\n\n    assert transformed == expected_text, \"convert_code_format did not perform expected legacy replacements\"\n\n# ----------------------------------------------------------------------------\n# Tests for parse_code_blobs function\n# ----------------------------------------------------------------------------\n\n\ndef test_parse_code_blobs_run_format():\n    \"\"\"Test parse_code_blobs with ```<RUN>\\ncontent\\n```<END_CODE> pattern.\"\"\"\n    text = \"\"\"Here is some code:\n```<RUN>\nprint(\"Hello World\")\nx = 42\n```<END_CODE>\nAnd some more text.\"\"\"\n\n    result = core_agent_module.parse_code_blobs(text)\n    expected = \"print(\\\"Hello World\\\")\\nx = 42\"\n    assert result == expected\n\n\ndef test_parse_code_blobs_python_match():\n    \"\"\"Test parse_code_blobs with ```python\\ncontent\\n``` pattern (legacy format).\"\"\"\n    text = \"\"\"Here is some code:\n```python\nprint(\"Hello World\")\nx = 42\n```\nAnd some more text.\"\"\"\n\n    result = core_agent_module.parse_code_blobs(text)\n    expected = \"print(\\\"Hello World\\\")\\nx = 42\"\n    assert result == expected\n\n\ndef test_parse_code_blobs_display_format_raises_value_error():\n    \"\"\"Test parse_code_blobs raises ValueError when only DISPLAY code blocks are present.\"\"\"\n    text = \"\"\"Here is some code:\n```<DISPLAY:python>\ndef hello():\n    return \"Hello\"\n```<END_DISPLAY_CODE>\nAnd some more text.\"\"\"\n\n    # This should raise ValueError when only DISPLAY code blocks are found (no executable code)\n    with pytest.raises(ValueError) as exc_info:\n        core_agent_module.parse_code_blobs(text)\n    \n    assert \"executable code block pattern\" in str(exc_info.value)\n\n\ndef test_parse_code_blobs_py_match():\n    \"\"\"Test parse_code_blobs with ```py\\ncontent\\n``` pattern (legacy format).\"\"\"\n    text = \"\"\"Here is some code:\n```py\ndef hello():\n    return \"Hello\"\n```\nAnd some more text.\"\"\"\n\n    result = core_agent_module.parse_code_blobs(text)\n    expected = \"def hello():\\n    return \\\"Hello\\\"\"\n    assert result == expected\n\n\ndef test_parse_code_blobs_multiple_matches():\n    \"\"\"Test parse_code_blobs with multiple code blocks.\"\"\"\n    text = \"\"\"First code block:\n```python\nprint(\"First\")\n```\n\nSecond code block:\n```py\nprint(\"Second\")\n```\"\"\"\n\n    result = core_agent_module.parse_code_blobs(text)\n    expected = \"print(\\\"First\\\")\\n\\nprint(\\\"Second\\\")\"\n    assert result == expected\n\n\ndef test_parse_code_blobs_with_whitespace():\n    \"\"\"Test parse_code_blobs with whitespace around language identifier.\"\"\"\n    text = \"\"\"Code with whitespace:\n```python  \nprint(\"Hello\")\n```\nMore code:\n```py\nprint(\"World\")\n```\"\"\"\n\n    result = core_agent_module.parse_code_blobs(text)\n    expected = \"print(\\\"Hello\\\")\\n\\nprint(\\\"World\\\")\"\n    assert result == expected\n\n\ndef test_parse_code_blobs_no_match():\n    \"\"\"Test parse_code_blobs with ```\\ncontent\\n``` (no language specified).\"\"\"\n    text = \"\"\"Here is some code:\n```\nprint(\"Hello World\")\n```\nBut no language specified.\"\"\"\n\n    with pytest.raises(ValueError) as exc_info:\n        core_agent_module.parse_code_blobs(text)\n\n    assert \"executable code block pattern\" in str(exc_info.value)\n\n\ndef test_parse_code_blobs_javascript_no_match():\n    \"\"\"Test parse_code_blobs with ```javascript\\ncontent\\n``` (other language).\"\"\"\n    text = \"\"\"Here is some JavaScript code:\n```javascript\nconsole.log(\"Hello World\");\n```\nBut this should not match.\"\"\"\n\n    with pytest.raises(ValueError) as exc_info:\n        core_agent_module.parse_code_blobs(text)\n\n    assert \"executable code block pattern\" in str(exc_info.value)\n\n\ndef test_parse_code_blobs_java_no_match():\n    \"\"\"Test parse_code_blobs with ```java\\ncontent\\n``` (other language).\"\"\"\n    text = \"\"\"Here is some Java code:\n```java\nSystem.out.println(\"Hello World\");\n```\nBut this should not match.\"\"\"\n\n    with pytest.raises(ValueError) as exc_info:\n        core_agent_module.parse_code_blobs(text)\n\n    assert \"executable code block pattern\" in str(exc_info.value)\n\n\ndef test_parse_code_blobs_direct_python_code():\n    \"\"\"Test parse_code_blobs with direct Python code (no code blocks).\"\"\"\n    text = \"\"\"print(\"Hello World\")\nx = 42\ndef hello():\n    return \"Hello\\\"\"\"\"\n\n    result = core_agent_module.parse_code_blobs(text)\n    assert result == text\n\n\ndef test_parse_code_blobs_invalid_python_syntax():\n    \"\"\"Test parse_code_blobs with invalid Python syntax (should raise ValueError).\"\"\"\n    text = \"\"\"print(\"Hello World\"\nx = 42\ndef hello(:\n    return \"Hello\\\"\"\"\"\n\n    with pytest.raises(ValueError) as exc_info:\n        core_agent_module.parse_code_blobs(text)\n\n    assert \"executable code block pattern\" in str(exc_info.value)\n\n\ndef test_parse_code_blobs_generic_error():\n    \"\"\"Test parse_code_blobs with generic case that should raise ValueError.\"\"\"\n    text = \"\"\"This is just some random text.\nJust plain text that should fail.\"\"\"\n\n    with pytest.raises(ValueError) as exc_info:\n        core_agent_module.parse_code_blobs(text)\n\n    error_msg = str(exc_info.value)\n    assert \"executable code block pattern\" in error_msg\n    assert \"Make sure to include code with the correct pattern\" in error_msg\n\n\ndef test_parse_code_blobs_single_line_content():\n    \"\"\"Test parse_code_blobs with single line content.\"\"\"\n    text = \"\"\"Single line:\n```python\nprint(\"Hello\")\n```\"\"\"\n\n    result = core_agent_module.parse_code_blobs(text)\n    expected = \"print(\\\"Hello\\\")\"\n    assert result == expected\n\n\ndef test_parse_code_blobs_mixed_content():\n    \"\"\"Test parse_code_blobs with mixed content including non-code text.\"\"\"\n    text = \"\"\"Thoughts: I need to calculate the sum\nCode:\n```python\ndef sum_numbers(a, b):\n    return a + b\n\nresult = sum_numbers(5, 3)\n```\nThe result is 8.\"\"\"\n\n    result = core_agent_module.parse_code_blobs(text)\n    expected = \"def sum_numbers(a, b):\\n    return a + b\\n\\nresult = sum_numbers(5, 3)\"\n    assert result == expected\n\n\ndef test_step_stream_parse_success(core_agent_instance):\n    \"\"\"Test _step_stream method when parsing succeeds.\"\"\"\n    # Setup\n    mock_memory_step = MagicMock()\n    mock_chat_message = MagicMock()\n    mock_chat_message.content = \"```<RUN>\\nprint('hello')\\n```<END_CODE>\"\n\n    # Set all required attributes on the instance\n    core_agent_instance.agent_name = \"test_agent\"\n    core_agent_instance.step_number = 1\n    core_agent_instance.grammar = None\n    core_agent_instance.logger = MagicMock()\n    core_agent_instance.logger.log = MagicMock()\n    core_agent_instance.logger.log_task = MagicMock()\n    core_agent_instance.logger.log_markdown = MagicMock()\n    core_agent_instance.logger.log_code = MagicMock()\n    core_agent_instance.memory = MagicMock()\n    core_agent_instance.memory.steps = []\n\n    with patch.object(core_agent_module, 'parse_code_blobs', return_value=\"print('hello')\"), \\\n            patch.object(core_agent_module, 'fix_final_answer_code', return_value=\"print('hello')\"):\n\n        # Mock the methods directly on the instance\n        core_agent_instance.write_memory_to_messages = MagicMock(\n            return_value=[])\n        core_agent_instance.model = MagicMock(return_value=mock_chat_message)\n        core_agent_instance.python_executor = MagicMock(\n            return_value=MockCodeOutput(output=\"output\", logs=\"logs\", is_final_answer=False))\n\n        # Execute\n        list(core_agent_instance._step_stream(mock_memory_step))\n\n        # Assertions\n        assert mock_memory_step.tool_calls is not None\n        assert len(mock_memory_step.tool_calls) == 1\n        # Check that tool_calls was set (we can't easily test the exact content due to mock behavior)\n        assert hasattr(mock_memory_step.tool_calls[0], 'name')\n        assert hasattr(mock_memory_step.tool_calls[0], 'arguments')\n\n\ndef test_step_stream_structured_outputs_with_stop_sequence(core_agent_instance):\n    \"\"\"Ensure _step_stream handles structured outputs correctly.\"\"\"\n    mock_memory_step = MagicMock()\n    mock_chat_message = MagicMock()\n    mock_chat_message.content = json.dumps({\"code\": \"print('hello')\"})\n    mock_chat_message.token_usage = MagicMock()\n\n    core_agent_instance.agent_name = \"test_agent\"\n    core_agent_instance.step_number = 1\n    core_agent_instance._use_structured_outputs_internally = True\n    core_agent_instance.code_block_tags = [\"<<OPEN>>\", \"[CLOSE]\"]\n    core_agent_instance.write_memory_to_messages = MagicMock(return_value=[])\n    core_agent_instance.model = MagicMock(return_value=mock_chat_message)\n    core_agent_instance.python_executor = MagicMock(\n        return_value=MockCodeOutput(output=\"result\", logs=\"\", is_final_answer=False)\n    )\n\n    with patch.object(core_agent_module, 'extract_code_from_text', return_value=\"print('hello')\") as mock_extract, \\\n            patch.object(core_agent_module, 'fix_final_answer_code', side_effect=lambda code: code):\n        list(core_agent_instance._step_stream(mock_memory_step))\n\n    # Ensure structured output helpers were used\n    mock_extract.assert_called_once_with(\"print('hello')\", core_agent_instance.code_block_tags)\n    call_kwargs = core_agent_instance.model.call_args.kwargs\n    assert call_kwargs[\"response_format\"] == core_agent_module.CODEAGENT_RESPONSE_FORMAT\n\n\ndef test_step_stream_skips_execution_for_display_only(core_agent_instance):\n    \"\"\"Test that _step_stream raises FinalAnswerError when only DISPLAY code blocks are present.\"\"\"\n    # Setup\n    mock_memory_step = MagicMock()\n    mock_chat_message = MagicMock()\n    mock_chat_message.content = \"```<DISPLAY:python>\\nprint('hello')\\n```<END_DISPLAY_CODE>\"\n\n    # Set all required attributes on the instance\n    core_agent_instance.agent_name = \"test_agent\"\n    core_agent_instance.step_number = 1\n    core_agent_instance.grammar = None\n    core_agent_instance.logger = MagicMock()\n    core_agent_instance.logger.log = MagicMock()\n    core_agent_instance.logger.log_task = MagicMock()\n    core_agent_instance.logger.log_markdown = MagicMock()\n    core_agent_instance.logger.log_code = MagicMock()\n    core_agent_instance.memory = MagicMock()\n    core_agent_instance.memory.steps = []\n\n    # Mock parse_code_blobs to raise ValueError (no executable code found)\n    with patch.object(core_agent_module, 'parse_code_blobs', side_effect=ValueError(\"No executable code found\")):\n        # Mock the methods directly on the instance\n        core_agent_instance.write_memory_to_messages = MagicMock(return_value=[])\n        core_agent_instance.model = MagicMock(return_value=mock_chat_message)\n\n        # Execute and assert that FinalAnswerError is raised\n        with pytest.raises(core_agent_module.FinalAnswerError):\n            list(core_agent_instance._step_stream(mock_memory_step))\n\n\ndef test_step_stream_parse_failure_raises_final_answer_error(core_agent_instance):\n    \"\"\"Test _step_stream method when parsing fails and raises FinalAnswerError.\"\"\"\n    # Setup\n    mock_memory_step = MagicMock()\n    mock_chat_message = MagicMock()\n    mock_chat_message.content = \"This is not code, just text\"\n\n    # Set all required attributes on the instance\n    core_agent_instance.agent_name = \"test_agent\"\n    core_agent_instance.step_number = 1\n    core_agent_instance.grammar = None\n    core_agent_instance.logger = MagicMock()\n    core_agent_instance.logger.log = MagicMock()\n    core_agent_instance.logger.log_task = MagicMock()\n    core_agent_instance.logger.log_markdown = MagicMock()\n    core_agent_instance.logger.log_code = MagicMock()\n    core_agent_instance.memory = MagicMock()\n    core_agent_instance.memory.steps = []\n\n    with patch.object(core_agent_module, 'parse_code_blobs', side_effect=ValueError(\"No code found\")):\n\n        # Mock the methods directly on the instance\n        core_agent_instance.write_memory_to_messages = MagicMock(\n            return_value=[])\n        core_agent_instance.model = MagicMock(return_value=mock_chat_message)\n\n        # Execute and assert\n        with pytest.raises(core_agent_module.FinalAnswerError):\n            list(core_agent_instance._step_stream(mock_memory_step))\n\n\ndef test_step_stream_model_generation_error(core_agent_instance):\n    \"\"\"Test _step_stream method when model generation fails.\"\"\"\n    # Setup\n    mock_memory_step = MagicMock()\n\n    # Set all required attributes on the instance\n    core_agent_instance.agent_name = \"test_agent\"\n    core_agent_instance.step_number = 1\n    core_agent_instance.grammar = None\n    core_agent_instance.logger = MagicMock()\n    core_agent_instance.logger.log = MagicMock()\n    core_agent_instance.logger.log_task = MagicMock()\n    core_agent_instance.logger.log_markdown = MagicMock()\n    core_agent_instance.logger.log_code = MagicMock()\n    core_agent_instance.memory = MagicMock()\n    core_agent_instance.memory.steps = []\n\n    # Mock the methods directly on the instance\n    core_agent_instance.write_memory_to_messages = MagicMock(return_value=[])\n    core_agent_instance.model = MagicMock(side_effect=Exception(\"Model error\"))\n\n    # Execute and assert\n    # Should raise the original exception wrapped in AgentGenerationError\n    with pytest.raises(Exception):\n        list(core_agent_instance._step_stream(mock_memory_step))\n\n\ndef test_step_stream_execution_success(core_agent_instance):\n    \"\"\"Test _step_stream method when code execution succeeds.\"\"\"\n    # Setup\n    mock_memory_step = MagicMock()\n    mock_chat_message = MagicMock()\n    mock_chat_message.content = \"```<RUN>\\nprint('hello')\\n```<END_CODE>\"\n\n    # Set all required attributes on the instance\n    core_agent_instance.agent_name = \"test_agent\"\n    core_agent_instance.step_number = 1\n    core_agent_instance.grammar = None\n    core_agent_instance.logger = MagicMock()\n    core_agent_instance.logger.log = MagicMock()\n    core_agent_instance.logger.log_task = MagicMock()\n    core_agent_instance.logger.log_markdown = MagicMock()\n    core_agent_instance.logger.log_code = MagicMock()\n    core_agent_instance.memory = MagicMock()\n    core_agent_instance.memory.steps = []\n\n    with patch.object(core_agent_module, 'parse_code_blobs', return_value=\"print('hello')\"), \\\n            patch.object(core_agent_module, 'fix_final_answer_code', return_value=\"print('hello')\"):\n\n        # Mock the methods directly on the instance\n        core_agent_instance.write_memory_to_messages = MagicMock(\n            return_value=[])\n        core_agent_instance.model = MagicMock(return_value=mock_chat_message)\n        core_agent_instance.python_executor = MagicMock(\n            return_value=MockCodeOutput(output=\"Hello World\", logs=\"Execution logs\", is_final_answer=False))\n\n        # Execute\n        result = list(core_agent_instance._step_stream(mock_memory_step))\n\n        # Assertions\n        # Should yield ActionOutput when is_final_answer is False\n        assert len(result) == 1\n        assert isinstance(result[0], MockActionOutput)\n        assert result[0].is_final_answer is False\n        assert mock_memory_step.observations is not None\n        # Check that observations was set (we can't easily test the exact content due to mock behavior)\n        assert hasattr(mock_memory_step, 'observations')\n\n\ndef test_step_stream_execution_final_answer(core_agent_instance):\n    \"\"\"Test _step_stream method when execution returns final answer.\"\"\"\n    # Setup\n    mock_memory_step = MagicMock()\n    mock_chat_message = MagicMock()\n    mock_chat_message.content = \"```<RUN>\\nprint('final answer')\\n```<END_CODE>\"\n\n    # Set all required attributes on the instance\n    core_agent_instance.agent_name = \"test_agent\"\n    core_agent_instance.step_number = 1\n    core_agent_instance.grammar = None\n    core_agent_instance.logger = MagicMock()\n    core_agent_instance.logger.log = MagicMock()\n    core_agent_instance.logger.log_task = MagicMock()\n    core_agent_instance.logger.log_markdown = MagicMock()\n    core_agent_instance.logger.log_code = MagicMock()\n    core_agent_instance.memory = MagicMock()\n    core_agent_instance.memory.steps = []\n\n    with patch.object(core_agent_module, 'parse_code_blobs', return_value=\"print('final answer')\"), \\\n            patch.object(core_agent_module, 'fix_final_answer_code', return_value=\"print('final answer')\"):\n\n        # Mock the methods directly on the instance\n        core_agent_instance.write_memory_to_messages = MagicMock(\n            return_value=[])\n        core_agent_instance.model = MagicMock(return_value=mock_chat_message)\n        core_agent_instance.python_executor = MagicMock(\n            return_value=MockCodeOutput(output=\"final answer\", logs=\"Execution logs\", is_final_answer=True))\n\n        # Execute\n        result = list(core_agent_instance._step_stream(mock_memory_step))\n\n        # Assertions\n        assert len(result) == 1\n        assert isinstance(result[0], MockActionOutput)\n        assert result[0].is_final_answer is True\n        assert result[0].output == \"final answer\"\n\n\ndef test_step_stream_execution_error(core_agent_instance):\n    \"\"\"Test _step_stream method when code execution fails.\"\"\"\n    # Setup\n    mock_memory_step = MagicMock()\n    mock_chat_message = MagicMock()\n    mock_chat_message.content = \"```<RUN>\\ninvalid_code\\n```<END_CODE>\"\n\n    # Set all required attributes on the instance\n    core_agent_instance.agent_name = \"test_agent\"\n    core_agent_instance.step_number = 1\n    core_agent_instance.grammar = None\n    core_agent_instance.logger = MagicMock()\n    core_agent_instance.logger.log = MagicMock()\n    core_agent_instance.logger.log_task = MagicMock()\n    core_agent_instance.logger.log_markdown = MagicMock()\n    core_agent_instance.logger.log_code = MagicMock()\n    core_agent_instance.memory = MagicMock()\n    core_agent_instance.memory.steps = []\n\n    with patch.object(core_agent_module, 'parse_code_blobs', return_value=\"invalid_code\"), \\\n            patch.object(core_agent_module, 'fix_final_answer_code', return_value=\"invalid_code\"):\n\n        # Mock python_executor with state containing print outputs\n        mock_executor = MagicMock()\n        mock_executor.state = {\"_print_outputs\": \"Some print output\"}\n        mock_executor.side_effect = Exception(\"Execution error\")\n\n        # Mock the methods directly on the instance\n        core_agent_instance.write_memory_to_messages = MagicMock(\n            return_value=[])\n        core_agent_instance.model = MagicMock(return_value=mock_chat_message)\n        core_agent_instance.python_executor = mock_executor\n\n        # Execute and assert\n        with pytest.raises(Exception):  # Should raise AgentExecutionError\n            list(core_agent_instance._step_stream(mock_memory_step))\n\n        # Verify observations were set with print outputs\n        assert mock_memory_step.observations is not None\n        # Check that observations contains the print output\n        assert hasattr(mock_memory_step.observations, '__contains__') or \"Some print output\" in str(\n            mock_memory_step.observations)\n\n\ndef test_step_stream_observer_calls(core_agent_instance):\n    \"\"\"Test _step_stream method calls observer with correct messages.\"\"\"\n    # Setup\n    mock_memory_step = MagicMock()\n    mock_chat_message = MagicMock()\n    mock_chat_message.content = \"```<RUN>\\nprint('test')\\n```<END_CODE>\"\n\n    # Set all required attributes on the instance\n    core_agent_instance.agent_name = \"test_agent\"\n    core_agent_instance.step_number = 1\n    core_agent_instance.grammar = None\n    core_agent_instance.logger = MagicMock()\n    core_agent_instance.logger.log = MagicMock()\n    core_agent_instance.logger.log_task = MagicMock()\n    core_agent_instance.logger.log_markdown = MagicMock()\n    core_agent_instance.logger.log_code = MagicMock()\n    core_agent_instance.memory = MagicMock()\n    core_agent_instance.memory.steps = []\n\n    with patch.object(core_agent_module, 'parse_code_blobs', return_value=\"print('test')\"), \\\n            patch.object(core_agent_module, 'fix_final_answer_code', return_value=\"print('test')\"):\n\n        # Mock the methods directly on the instance\n        core_agent_instance.write_memory_to_messages = MagicMock(\n            return_value=[])\n        core_agent_instance.model = MagicMock(return_value=mock_chat_message)\n        core_agent_instance.python_executor = MagicMock(\n            return_value=MockCodeOutput(output=\"test\", logs=\"logs\", is_final_answer=False))\n\n        # Execute\n        list(core_agent_instance._step_stream(mock_memory_step))\n\n        # Assertions\n        # Should call observer for step count, parse, and execution logs\n        assert core_agent_instance.observer.add_message.call_count >= 3\n        calls = core_agent_instance.observer.add_message.call_args_list\n\n        # Check step count call\n        step_count_call = calls[0]\n        assert step_count_call[0][1] == ProcessType.STEP_COUNT\n\n        # Check parse call\n        parse_call = calls[1]\n        assert parse_call[0][1] == ProcessType.PARSE\n        # The parse call should contain the fixed code, not the mock object\n        assert \"print('test')\" in str(parse_call[0][2])\n\n        # Check execution logs call\n        execution_call = calls[2]\n        assert execution_call[0][1] == ProcessType.EXECUTION_LOGS\n\n\n# ----------------------------------------------------------------------------\n# Additional tests for coverage gaps\n# ----------------------------------------------------------------------------\n\ndef test_step_stream_execution_with_logs(core_agent_instance):\n    \"\"\"Test _step_stream method when execution has logs (lines 169-176).\"\"\"\n    # Setup\n    mock_memory_step = MagicMock()\n    mock_chat_message = MagicMock()\n    mock_chat_message.content = \"```<RUN>\\nprint('hello')\\n```<END_CODE>\"\n\n    # Set all required attributes on the instance\n    core_agent_instance.agent_name = \"test_agent\"\n    core_agent_instance.step_number = 1\n    core_agent_instance.grammar = None\n    core_agent_instance.logger = MagicMock()\n    core_agent_instance.logger.log = MagicMock()\n    core_agent_instance.logger.log_task = MagicMock()\n    core_agent_instance.logger.log_markdown = MagicMock()\n    core_agent_instance.logger.log_code = MagicMock()\n    core_agent_instance.memory = MagicMock()\n    core_agent_instance.memory.steps = []\n\n    with patch.object(core_agent_module, 'parse_code_blobs', return_value=\"print('hello')\"), \\\n            patch.object(core_agent_module, 'fix_final_answer_code', return_value=\"print('hello')\"):\n\n        # Mock the methods directly on the instance\n        core_agent_instance.write_memory_to_messages = MagicMock(\n            return_value=[])\n        core_agent_instance.model = MagicMock(return_value=mock_chat_message)\n        # Mock python_executor to return logs\n        core_agent_instance.python_executor = MagicMock(\n            return_value=MockCodeOutput(output=\"output\", logs=\"Some execution logs\", is_final_answer=False))\n\n        # Execute\n        result = list(core_agent_instance._step_stream(mock_memory_step))\n\n        # Assertions\n        # Should yield ActionOutput when is_final_answer is False\n        assert len(result) == 1\n        assert isinstance(result[0], MockActionOutput)\n        assert result[0].is_final_answer is False\n        # Check that execution logs were recorded\n        assert core_agent_instance.observer.add_message.call_count >= 3\n        calls = core_agent_instance.observer.add_message.call_args_list\n        execution_call = calls[2]\n        assert execution_call[0][1] == ProcessType.EXECUTION_LOGS\n        assert \"Some execution logs\" in str(execution_call[0][2])\n\n\ndef test_step_stream_execution_error_with_print_outputs(core_agent_instance):\n    \"\"\"Test _step_stream method when execution fails with print outputs (lines 178-191).\"\"\"\n    # Setup\n    mock_memory_step = MagicMock()\n    mock_chat_message = MagicMock()\n    mock_chat_message.content = \"```<RUN>\\ninvalid_code\\n```<END_CODE>\"\n\n    # Set all required attributes on the instance\n    core_agent_instance.agent_name = \"test_agent\"\n    core_agent_instance.step_number = 1\n    core_agent_instance.grammar = None\n    core_agent_instance.logger = MagicMock()\n    core_agent_instance.logger.log = MagicMock()\n    core_agent_instance.logger.log_task = MagicMock()\n    core_agent_instance.logger.log_markdown = MagicMock()\n    core_agent_instance.logger.log_code = MagicMock()\n    core_agent_instance.memory = MagicMock()\n    core_agent_instance.memory.steps = []\n\n    with patch.object(core_agent_module, 'parse_code_blobs', return_value=\"invalid_code\"), \\\n            patch.object(core_agent_module, 'fix_final_answer_code', return_value=\"invalid_code\"):\n\n        # Mock python_executor with state containing print outputs\n        mock_executor = MagicMock()\n        mock_executor.state = {\"_print_outputs\": \"Print output from execution\"}\n        mock_executor.side_effect = Exception(\"Execution error\")\n\n        # Mock the methods directly on the instance\n        core_agent_instance.write_memory_to_messages = MagicMock(\n            return_value=[])\n        core_agent_instance.model = MagicMock(return_value=mock_chat_message)\n        core_agent_instance.python_executor = mock_executor\n\n        # Execute and assert\n        with pytest.raises(Exception):  # Should raise AgentExecutionError\n            list(core_agent_instance._step_stream(mock_memory_step))\n\n        # Verify observations were set with print outputs\n        assert mock_memory_step.observations is not None\n        assert \"Print output from execution\" in str(\n            mock_memory_step.observations)\n\n\ndef test_step_stream_execution_error_with_import_warning(core_agent_instance):\n    \"\"\"Test _step_stream method when execution fails with import error (lines 192-196).\"\"\"\n    # Setup\n    mock_memory_step = MagicMock()\n    mock_chat_message = MagicMock()\n    mock_chat_message.content = \"```<RUN>\\nimport forbidden_module\\n```<END_CODE>\"\n\n    # Set all required attributes on the instance\n    core_agent_instance.agent_name = \"test_agent\"\n    core_agent_instance.step_number = 1\n    core_agent_instance.grammar = None\n    core_agent_instance.logger = MagicMock()\n    core_agent_instance.logger.log = MagicMock()\n    core_agent_instance.logger.log_task = MagicMock()\n    core_agent_instance.logger.log_markdown = MagicMock()\n    core_agent_instance.logger.log_code = MagicMock()\n    core_agent_instance.memory = MagicMock()\n    core_agent_instance.memory.steps = []\n\n    with patch.object(core_agent_module, 'parse_code_blobs', return_value=\"import forbidden_module\"), \\\n            patch.object(core_agent_module, 'fix_final_answer_code', return_value=\"import forbidden_module\"):\n\n        # Mock python_executor to raise import error\n        mock_executor = MagicMock()\n        mock_executor.state = {}\n        mock_executor.side_effect = Exception(\n            \"Import of forbidden_module is not allowed\")\n\n        # Mock the methods directly on the instance\n        core_agent_instance.write_memory_to_messages = MagicMock(\n            return_value=[])\n        core_agent_instance.model = MagicMock(return_value=mock_chat_message)\n        core_agent_instance.python_executor = mock_executor\n\n        # Execute and assert\n        with pytest.raises(Exception):  # Should raise AgentExecutionError\n            list(core_agent_instance._step_stream(mock_memory_step))\n\n        # Verify warning was logged\n        core_agent_instance.logger.log.assert_called()\n        # Check that the warning message was logged\n        log_calls = core_agent_instance.logger.log.call_args_list\n        warning_calls = [\n            call for call in log_calls if \"Warning to user\" in str(call)]\n        assert len(warning_calls) > 0\n\n\ndef test_step_stream_execution_error_without_print_outputs(core_agent_instance):\n    \"\"\"Test _step_stream method when execution fails without print outputs.\"\"\"\n    # Setup\n    mock_memory_step = MagicMock()\n    mock_chat_message = MagicMock()\n    mock_chat_message.content = \"```<RUN>\\ninvalid_code\\n```<END_CODE>\"\n\n    # Set all required attributes on the instance\n    core_agent_instance.agent_name = \"test_agent\"\n    core_agent_instance.step_number = 1\n    core_agent_instance.grammar = None\n    core_agent_instance.logger = MagicMock()\n    core_agent_instance.logger.log = MagicMock()\n    core_agent_instance.logger.log_task = MagicMock()\n    core_agent_instance.logger.log_markdown = MagicMock()\n    core_agent_instance.logger.log_code = MagicMock()\n    core_agent_instance.memory = MagicMock()\n    core_agent_instance.memory.steps = []\n\n    with patch.object(core_agent_module, 'parse_code_blobs', return_value=\"invalid_code\"), \\\n            patch.object(core_agent_module, 'fix_final_answer_code', return_value=\"invalid_code\"):\n\n        # Mock python_executor without state or with empty state\n        mock_executor = MagicMock()\n        mock_executor.state = {}\n        mock_executor.side_effect = Exception(\"Execution error\")\n\n        # Mock the methods directly on the instance\n        core_agent_instance.write_memory_to_messages = MagicMock(\n            return_value=[])\n        core_agent_instance.model = MagicMock(return_value=mock_chat_message)\n        core_agent_instance.python_executor = mock_executor\n\n        # Execute and assert\n        with pytest.raises(Exception):  # Should raise AgentExecutionError\n            list(core_agent_instance._step_stream(mock_memory_step))\n\n\ndef test_step_stream_execution_with_none_output(core_agent_instance):\n    \"\"\"Test _step_stream method when execution returns None output.\"\"\"\n    # Setup\n    mock_memory_step = MagicMock()\n    mock_chat_message = MagicMock()\n    mock_chat_message.content = \"```<RUN>\\nprint('hello')\\n```<END_CODE>\"\n\n    # Set all required attributes on the instance\n    core_agent_instance.agent_name = \"test_agent\"\n    core_agent_instance.step_number = 1\n    core_agent_instance.grammar = None\n    core_agent_instance.logger = MagicMock()\n    core_agent_instance.logger.log = MagicMock()\n    core_agent_instance.logger.log_task = MagicMock()\n    core_agent_instance.logger.log_markdown = MagicMock()\n    core_agent_instance.logger.log_code = MagicMock()\n    core_agent_instance.memory = MagicMock()\n    core_agent_instance.memory.steps = []\n\n    with patch.object(core_agent_module, 'parse_code_blobs', return_value=\"print('hello')\"), \\\n            patch.object(core_agent_module, 'fix_final_answer_code', return_value=\"print('hello')\"):\n\n        # Mock the methods directly on the instance\n        core_agent_instance.write_memory_to_messages = MagicMock(\n            return_value=[])\n        core_agent_instance.model = MagicMock(return_value=mock_chat_message)\n        # Mock python_executor to return None output\n        core_agent_instance.python_executor = MagicMock(\n            return_value=MockCodeOutput(output=None, logs=\"Execution logs\", is_final_answer=False))\n\n        # Execute\n        result = list(core_agent_instance._step_stream(mock_memory_step))\n\n        # Assertions\n        # Should yield ActionOutput when is_final_answer is False\n        assert len(result) == 1\n        assert isinstance(result[0], MockActionOutput)\n        assert result[0].is_final_answer is False\n        assert mock_memory_step.observations is not None\n        # Check that observations was set but should not contain \"Last output from code snippet\"\n        # since output is None\n        observations_str = str(mock_memory_step.observations)\n        assert \"Execution logs:\" in observations_str\n        assert \"Last output from code snippet:\" not in observations_str\n\n# ----------------------------------------------------------------------------\n# Tests for run method (lines 229-263)\n# ----------------------------------------------------------------------------\n\ndef test_run_with_additional_args(core_agent_instance):\n    \"\"\"Test run method with additional_args parameter.\"\"\"\n    # Setup\n    task = \"test task\"\n    additional_args = {\"param1\": \"value1\", \"param2\": 42}\n\n    # Mock required attributes\n    core_agent_instance.max_steps = 5\n    core_agent_instance.state = {}\n    core_agent_instance.initialize_system_prompt = MagicMock(\n        return_value=\"system prompt\")\n    core_agent_instance.memory = MagicMock()\n    core_agent_instance.memory.reset = MagicMock()\n    core_agent_instance.monitor = MagicMock()\n    core_agent_instance.monitor.reset = MagicMock()\n    core_agent_instance.logger = MagicMock()\n    core_agent_instance.logger.log = MagicMock()\n    core_agent_instance.logger.log_task = MagicMock()\n    core_agent_instance.logger.log_markdown = MagicMock()\n    core_agent_instance.logger.log_code = MagicMock()\n    core_agent_instance.model = MagicMock()\n    core_agent_instance.model.model_id = \"test-model\"\n    core_agent_instance.name = \"test_agent\"\n    core_agent_instance.python_executor = MagicMock()\n    core_agent_instance.tools = {}\n    core_agent_instance.managed_agents = {}\n    core_agent_instance.observer = MagicMock()\n\n    # Mock _run_stream to return a simple result\n    mock_final_step = MockFinalAnswerStep(output=\"final result\")\n\n    with patch.object(core_agent_instance, '_run_stream', return_value=[mock_final_step]):\n        # Execute\n        result = core_agent_instance.run(\n            task, additional_args=additional_args, stream=False)\n\n        # Assertions\n        assert result == \"final result\"\n        assert core_agent_instance.state == additional_args\n        assert \"You have been provided with these additional arguments\" in core_agent_instance.task\n        assert str(additional_args) in core_agent_instance.task\n\n\ndef test_run_with_stream_true(core_agent_instance):\n    \"\"\"Test run method with stream=True.\"\"\"\n    # Setup\n    task = \"test task\"\n\n    # Mock required attributes\n    core_agent_instance.max_steps = 5\n    core_agent_instance.state = {}\n    core_agent_instance.initialize_system_prompt = MagicMock(\n        return_value=\"system prompt\")\n    core_agent_instance.memory = MagicMock()\n    core_agent_instance.memory.reset = MagicMock()\n    core_agent_instance.monitor = MagicMock()\n    core_agent_instance.monitor.reset = MagicMock()\n    core_agent_instance.logger = MagicMock()\n    core_agent_instance.logger.log = MagicMock()\n    core_agent_instance.logger.log_task = MagicMock()\n    core_agent_instance.logger.log_markdown = MagicMock()\n    core_agent_instance.logger.log_code = MagicMock()\n    core_agent_instance.model = MagicMock()\n    core_agent_instance.model.model_id = \"test-model\"\n    core_agent_instance.name = \"test_agent\"\n    core_agent_instance.python_executor = MagicMock()\n    core_agent_instance.tools = {}\n    core_agent_instance.managed_agents = {}\n    core_agent_instance.observer = MagicMock()\n\n    # Mock _run_stream to return a generator\n    mock_steps = [MagicMock(), MagicMock()]\n\n    with patch.object(core_agent_instance, '_run_stream', return_value=mock_steps):\n        # Execute\n        result = core_agent_instance.run(task, stream=True)\n\n        # Assertions\n        assert result == mock_steps\n\n\ndef test_run_with_reset_false(core_agent_instance):\n    \"\"\"Test run method with reset=False.\"\"\"\n    # Setup\n    task = \"test task\"\n\n    # Mock required attributes\n    core_agent_instance.max_steps = 5\n    core_agent_instance.state = {}\n    core_agent_instance.initialize_system_prompt = MagicMock(\n        return_value=\"system prompt\")\n    core_agent_instance.memory = MagicMock()\n    core_agent_instance.memory.reset = MagicMock()\n    core_agent_instance.monitor = MagicMock()\n    core_agent_instance.monitor.reset = MagicMock()\n    core_agent_instance.logger = MagicMock()\n    core_agent_instance.logger.log = MagicMock()\n    core_agent_instance.logger.log_task = MagicMock()\n    core_agent_instance.logger.log_markdown = MagicMock()\n    core_agent_instance.logger.log_code = MagicMock()\n    core_agent_instance.model = MagicMock()\n    core_agent_instance.model.model_id = \"test-model\"\n    core_agent_instance.name = \"test_agent\"\n    core_agent_instance.python_executor = MagicMock()\n    core_agent_instance.tools = {}\n    core_agent_instance.managed_agents = {}\n    core_agent_instance.observer = MagicMock()\n\n    # Mock _run_stream to return a simple result\n    mock_final_step = MockFinalAnswerStep(output=\"final result\")\n\n    with patch.object(core_agent_instance, '_run_stream', return_value=[mock_final_step]):\n        # Execute\n        result = core_agent_instance.run(task, reset=False)\n\n        # Assertions\n        assert result == \"final result\"\n        # Memory and monitor should not be reset\n        core_agent_instance.memory.reset.assert_not_called()\n        core_agent_instance.monitor.reset.assert_not_called()\n\n\ndef test_run_with_images(core_agent_instance):\n    \"\"\"Test run method with images parameter.\"\"\"\n    # Setup\n    task = \"test task\"\n    images = [\"image1.jpg\", \"image2.jpg\"]\n\n    # Mock required attributes\n    core_agent_instance.max_steps = 5\n    core_agent_instance.state = {}\n    core_agent_instance.initialize_system_prompt = MagicMock(\n        return_value=\"system prompt\")\n    core_agent_instance.memory = MagicMock()\n    core_agent_instance.memory.reset = MagicMock()\n    core_agent_instance.monitor = MagicMock()\n    core_agent_instance.monitor.reset = MagicMock()\n    core_agent_instance.logger = MagicMock()\n    core_agent_instance.logger.log = MagicMock()\n    core_agent_instance.logger.log_task = MagicMock()\n    core_agent_instance.logger.log_markdown = MagicMock()\n    core_agent_instance.logger.log_code = MagicMock()\n    core_agent_instance.model = MagicMock()\n    core_agent_instance.model.model_id = \"test-model\"\n    core_agent_instance.name = \"test_agent\"\n    core_agent_instance.python_executor = MagicMock()\n    core_agent_instance.tools = {}\n    core_agent_instance.managed_agents = {}\n    core_agent_instance.observer = MagicMock()\n\n    # Mock _run_stream to return a simple result\n    mock_final_step = MockFinalAnswerStep(output=\"final result\")\n\n    with patch.object(core_agent_instance, '_run_stream', return_value=[mock_final_step]):\n        # Execute\n        result = core_agent_instance.run(task, images=images)\n\n        # Assertions\n        assert result == \"final result\"\n        # Verify TaskStep was added with images\n        core_agent_instance.memory.steps.append.assert_called_once()\n        call_args = core_agent_instance.memory.steps.append.call_args[0][0]\n        # The TaskStep is mocked, so just verify it was called with correct arguments via the constructor\n        # We'll check that TaskStep was called with the right parameters\n        assert isinstance(call_args, MockTaskStep)\n        assert call_args.task == task\n        assert call_args.task_images == images\n\n\ndef test_run_return_full_result_success_state(core_agent_instance):\n    \"\"\"run should return RunResult with aggregated token usage when requested.\"\"\"\n    task = \"test task\"\n    token_usage = MagicMock(input_tokens=7, output_tokens=3)\n    action_step = core_agent_module.ActionStep()\n    action_step.token_usage = token_usage\n\n    core_agent_instance.name = \"test_agent\"\n    core_agent_instance.memory.steps = [action_step]\n    core_agent_instance.memory.get_full_steps = MagicMock(return_value=[{\"step\": \"data\"}])\n    core_agent_instance.memory.reset = MagicMock()\n    core_agent_instance.monitor.reset = MagicMock()\n    core_agent_instance.logger = MagicMock()\n    core_agent_instance.logger.log_task = MagicMock()\n    core_agent_instance.logger.log = MagicMock()\n    core_agent_instance.logger.log_markdown = MagicMock()\n    core_agent_instance.logger.log_code = MagicMock()\n    core_agent_instance.model = MagicMock()\n    core_agent_instance.model.model_id = \"model\"\n    core_agent_instance.python_executor = MagicMock()\n    core_agent_instance.python_executor.send_variables = MagicMock()\n    core_agent_instance.python_executor.send_tools = MagicMock()\n    core_agent_instance.observer = MagicMock()\n\n    final_step = MockFinalAnswerStep(output=\"final result\")\n    with patch.object(core_agent_instance, '_run_stream', return_value=[final_step]):\n        result = core_agent_instance.run(task, return_full_result=True)\n\n    assert isinstance(result, core_agent_module.RunResult)\n    assert result.output == \"final result\"\n    core_agent_module.TokenUsage.assert_called_once_with(input_tokens=7, output_tokens=3)\n    assert result.token_usage == core_agent_module.TokenUsage.return_value\n    assert result.state == \"success\"\n    core_agent_instance.memory.get_full_steps.assert_called_once()\n\n\ndef test_run_return_full_result_max_steps_error(core_agent_instance):\n    \"\"\"run should mark state as max_steps_error when the last step contains AgentMaxStepsError.\"\"\"\n    task = \"test task\"\n\n    action_step = core_agent_module.ActionStep()\n    action_step.token_usage = None\n    action_step.error = core_agent_module.AgentMaxStepsError(\"max steps reached\")\n\n    class StepsList(list):\n        def append(self, item):\n            # Skip storing TaskStep to keep action_step as the last element\n            if isinstance(item, core_agent_module.TaskStep):\n                return\n            super().append(item)\n\n    core_agent_instance.name = \"test_agent\"\n    steps_list = StepsList([action_step])\n    core_agent_instance.memory.steps = steps_list\n    core_agent_instance.memory.get_full_steps = MagicMock(return_value=[{\"step\": \"data\"}])\n    core_agent_instance.memory.reset = MagicMock()\n    core_agent_instance.monitor.reset = MagicMock()\n    core_agent_instance.logger = MagicMock()\n    core_agent_instance.logger.log_task = MagicMock()\n    core_agent_instance.logger.log = MagicMock()\n    core_agent_instance.logger.log_markdown = MagicMock()\n    core_agent_instance.logger.log_code = MagicMock()\n    core_agent_instance.model = MagicMock()\n    core_agent_instance.model.model_id = \"model\"\n    core_agent_instance.python_executor = MagicMock()\n    core_agent_instance.python_executor.send_variables = MagicMock()\n    core_agent_instance.python_executor.send_tools = MagicMock()\n    core_agent_instance.observer = MagicMock()\n\n    final_step = MockFinalAnswerStep(output=\"final result\")\n    with patch.object(core_agent_instance, '_run_stream', return_value=[final_step]):\n        result = core_agent_instance.run(task, return_full_result=True)\n\n    assert isinstance(result, core_agent_module.RunResult)\n    assert result.token_usage is None\n    core_agent_module.TokenUsage.assert_not_called()\n    assert result.state == \"max_steps_error\"\n    core_agent_instance.memory.get_full_steps.assert_called_once()\n\n\ndef test_run_without_python_executor(core_agent_instance):\n    \"\"\"Test run method when python_executor is None.\"\"\"\n    # Setup\n    task = \"test task\"\n\n    # Mock required attributes\n    core_agent_instance.max_steps = 5\n    core_agent_instance.state = {}\n    core_agent_instance.initialize_system_prompt = MagicMock(\n        return_value=\"system prompt\")\n    core_agent_instance.memory = MagicMock()\n    core_agent_instance.memory.reset = MagicMock()\n    core_agent_instance.monitor = MagicMock()\n    core_agent_instance.monitor.reset = MagicMock()\n    core_agent_instance.logger = MagicMock()\n    core_agent_instance.logger.log = MagicMock()\n    core_agent_instance.logger.log_task = MagicMock()\n    core_agent_instance.logger.log_markdown = MagicMock()\n    core_agent_instance.logger.log_code = MagicMock()\n    core_agent_instance.model = MagicMock()\n    core_agent_instance.model.model_id = \"test-model\"\n    core_agent_instance.name = \"test_agent\"\n    core_agent_instance.python_executor = None  # No python executor\n    core_agent_instance.tools = {}\n    core_agent_instance.managed_agents = {}\n    core_agent_instance.observer = MagicMock()\n\n    # Mock _run_stream to return a simple result\n    mock_final_step = MockFinalAnswerStep(output=\"final result\")\n\n    with patch.object(core_agent_instance, '_run_stream', return_value=[mock_final_step]):\n        # Execute\n        result = core_agent_instance.run(task)\n\n        # Assertions\n        assert result == \"final result\"\n        # Should not call send_variables or send_tools when python_executor is None\n\n\n# ----------------------------------------------------------------------------\n# Tests for __call__ method (lines 269-290)\n# ----------------------------------------------------------------------------\n\ndef test_call_method_success(core_agent_instance):\n    \"\"\"Test __call__ method with successful execution.\"\"\"\n    # Setup\n    task = \"test task\"\n\n    # Mock required attributes - use simple string templates without variables\n    core_agent_instance.name = \"test_agent\"\n    core_agent_instance.state = {}\n    core_agent_instance.prompt_templates = {\n        \"managed_agent\": {\n            # Simple template with just task variable\n            \"task\": \"Task: {{task}}\",\n            # Simple template with just final_answer variable\n            \"report\": \"Report: {{final_answer}}\"\n        }\n    }\n    core_agent_instance.provide_run_summary = False\n    core_agent_instance.observer = MagicMock()\n\n    # Mock run method to return a simple result\n    with patch.object(core_agent_instance, 'run', return_value=\"test result\"):\n        # Execute\n        result = core_agent_instance(task)\n\n        # Assertions\n        # Check that the result follows the expected format\n        assert \"Report: test result\" in result\n\n        # Verify run was called with the rendered task template\n        core_agent_instance.run.assert_called_once()\n        called_task = core_agent_instance.run.call_args[0][0]\n        assert \"Task: test task\" in called_task\n\n        # Verify observer was notified\n        core_agent_instance.observer.add_message.assert_called_with(\n            \"test_agent\", ProcessType.AGENT_FINISH, \"test result\")\n\n\ndef test_call_method_with_run_result_return(core_agent_instance):\n    \"\"\"Test __call__ handles RunResult by extracting its output.\"\"\"\n    task = \"test task\"\n    core_agent_instance.name = \"test_agent\"\n    core_agent_instance.state = {}\n    core_agent_instance.prompt_templates = {\n        \"managed_agent\": {\n            \"task\": \"Task: {{task}}\",\n            \"report\": \"Report: {{final_answer}}\"\n        }\n    }\n    core_agent_instance.provide_run_summary = False\n    core_agent_instance.observer = MagicMock()\n\n    run_result = core_agent_module.RunResult(output=\"run result\", token_usage=None, steps=[], timing=None, state=\"success\")\n    with patch.object(core_agent_instance, 'run', return_value=run_result) as mock_run:\n        result = core_agent_instance(task)\n\n    assert \"Report: run result\" in result\n    mock_run.assert_called_once()\n    core_agent_instance.observer.add_message.assert_called_with(\n        \"test_agent\", ProcessType.AGENT_FINISH, \"run result\"\n    )\n\n\ndef test_call_method_with_run_summary(core_agent_instance):\n    \"\"\"Test __call__ method with provide_run_summary=True.\"\"\"\n    # Setup\n    task = \"test task\"\n\n    # Mock required attributes - use simple templates\n    core_agent_instance.name = \"test_agent\"\n    core_agent_instance.state = {}\n    core_agent_instance.prompt_templates = {\n        \"managed_agent\": {\n            \"task\": \"Task: {{task}}\",\n            \"report\": \"Report: {{final_answer}}\"\n        }\n    }\n    core_agent_instance.provide_run_summary = True\n    core_agent_instance.observer = MagicMock()\n\n    # Mock write_memory_to_messages to return some simple messages with .content attribute\n    class MockMessage:\n        def __init__(self, content):\n            self.content = content\n    \n    mock_messages = [\n        MockMessage(\"msg1\"),\n        MockMessage(\"msg2\")\n    ]\n    core_agent_instance.write_memory_to_messages = MagicMock(\n        return_value=mock_messages)\n\n    # Use the actual truncate_content function but simplify the test\n    with patch.object(core_agent_instance, 'run', return_value=\"test result\"):\n\n        # Execute\n        result = core_agent_instance(task)\n\n        # Assertions\n        # The result should be a string containing the expected components\n        assert isinstance(result, str)\n        assert \"Report: test result\" in result\n        assert \"<summary_of_work>\" in result\n        # Check for message content (will be truncated by real function)\n        assert \"msg1\" in result\n        assert \"msg2\" in result\n        assert \"</summary_of_work>\" in result\n\n        # Verify write_memory_to_messages was called with summary_mode=True\n        core_agent_instance.write_memory_to_messages.assert_called_with(\n            summary_mode=True)\n\n\ndef test_call_method_observer_exception(core_agent_instance):\n    \"\"\"Test __call__ method when observer.add_message raises exception.\"\"\"\n    # Setup\n    task = \"test task\"\n\n    # Mock required attributes - use simple templates\n    core_agent_instance.name = \"test_agent\"\n    core_agent_instance.state = {}\n    core_agent_instance.prompt_templates = {\n        \"managed_agent\": {\n            \"task\": \"Task: {{task}}\",\n            \"report\": \"Report: {{final_answer}}\"\n        }\n    }\n    core_agent_instance.provide_run_summary = False\n    core_agent_instance.observer = MagicMock()\n    core_agent_instance.observer.add_message.side_effect = [\n        Exception(\"Observer error\"), None]\n\n    # Mock run method\n    with patch.object(core_agent_instance, 'run', return_value=\"test result\"):\n\n        # Execute\n        result = core_agent_instance(task)\n\n        # Assertions\n        # The result should contain the rendered template even when observer fails\n        assert \"Report: test result\" in result\n\n        # Should call observer twice: once for AGENT_FINISH (which raises), once in except block\n        assert core_agent_instance.observer.add_message.call_count == 2\n\n        # Verify the calls were made correctly\n        calls = core_agent_instance.observer.add_message.call_args_list\n        # First call should try to send \"test result\"\n        assert calls[0][0][0] == \"test_agent\"\n        assert calls[0][0][1] == ProcessType.AGENT_FINISH\n        assert calls[0][0][2] == \"test result\"\n        # Second call should be with empty string in the except block\n        assert calls[1][0][0] == \"test_agent\"\n        assert calls[1][0][1] == ProcessType.AGENT_FINISH\n        assert calls[1][0][2] == \"\"\n\n\ndef test_call_method_with_kwargs(core_agent_instance):\n    \"\"\"Test __call__ method with additional kwargs.\"\"\"\n    # Setup\n    task = \"test task\"\n    kwargs = {\"stream\": True, \"max_steps\": 10}\n\n    # Mock required attributes - use simple templates\n    core_agent_instance.name = \"test_agent\"\n    core_agent_instance.state = {}\n    core_agent_instance.prompt_templates = {\n        \"managed_agent\": {\n            \"task\": \"Task: {{task}}\",\n            \"report\": \"Report: {{final_answer}}\"\n        }\n    }\n    core_agent_instance.provide_run_summary = False\n    core_agent_instance.observer = MagicMock()\n\n    # Mock run method\n    with patch.object(core_agent_instance, 'run', return_value=\"test result\") as mock_run:\n\n        # Execute\n        result = core_agent_instance(task, **kwargs)\n\n        # Assertions\n        # The result should contain the rendered template\n        assert \"Report: test result\" in result\n\n        # Verify run was called with the rendered task and kwargs\n        mock_run.assert_called_once()\n        call_args = mock_run.call_args\n        # Check that the task was rendered correctly\n        assert \"Task: test task\" in call_args[0][0]\n        # Check that kwargs were passed through\n        assert call_args[1] == kwargs\n\n        # Verify observer was notified\n        core_agent_instance.observer.add_message.assert_called_with(\n            \"test_agent\", ProcessType.AGENT_FINISH, \"test result\")\n"
  },
  {
    "path": "test/sdk/core/agents/test_nexent_agent.py",
    "content": "import sys\nimport types\nfrom pathlib import Path\nfrom threading import Event\nfrom unittest.mock import MagicMock, patch\n\nimport pytest\n\nTEST_ROOT = Path(__file__).resolve().parents[3]\nPROJECT_ROOT = TEST_ROOT.parent\nfor _path in (str(PROJECT_ROOT), str(TEST_ROOT)):\n    if _path not in sys.path:\n        sys.path.insert(0, _path)\n\nSDK_SOURCE_ROOT = PROJECT_ROOT / \"sdk\"\nsdk_namespace_module = types.ModuleType(\"sdk\")\nsdk_namespace_module.__path__ = [str(SDK_SOURCE_ROOT)]\n\n# ---------------------------------------------------------------------------\n# Prepare mocks for external dependencies that are not required for this test\n# ---------------------------------------------------------------------------\n\n# Mock for smolagents and its sub-modules\nmock_smolagents = MagicMock()\n\n# Define lightweight classes to support isinstance checks in source code\n\n\nclass _ActionStep:\n    def __init__(self, step_number=None, timing=None, action_output=None, model_output=None):\n        self.step_number = step_number\n        self.timing = timing\n        self.action_output = action_output\n        self.model_output = model_output\n\n\nclass _TaskStep:\n    def __init__(self, task=None):\n        self.task = task\n\n\nclass _AgentText:\n    def __init__(self, content: str = \"\"):\n        self._content = content\n\n    def to_string(self):\n        return self._content\n\n\n# Expose these classes on the mocked smolagents module\nmock_smolagents.ActionStep = _ActionStep\nmock_smolagents.TaskStep = _TaskStep\nmock_smolagents.AgentText = _AgentText\nmock_smolagents.handle_agent_output_types = MagicMock()\n\n# Mock for smolagents.tools.Tool with a configurable from_langchain method\nmock_tool_class = MagicMock()\nmock_tool_class.from_langchain = MagicMock()\nmock_smolagents_tools = MagicMock()\nmock_smolagents_tools.Tool = mock_tool_class\nmock_smolagents.tools = mock_smolagents_tools\n\n# Create dummy smolagents sub-modules that may be imported indirectly\nfor sub_mod in [\"agents\", \"memory\", \"models\", \"monitoring\", \"utils\", \"local_python_executor\"]:\n    mock_module = MagicMock()\n    setattr(mock_smolagents, sub_mod, mock_module)\n\n# Mock for langchain and langchain.tools\nmock_langchain_tools = MagicMock()\nmock_langchain_tools.StructuredTool = MagicMock()\nmock_langchain = MagicMock()\nmock_langchain.tools = mock_langchain_tools\n\n# Mock for OpenAIModel\nmock_openai_model = MagicMock()\nmock_openai_model_class = MagicMock(return_value=mock_openai_model)\n\n# Mock for CoreAgent\n\n\nclass _TestCoreAgent:\n    pass\n\n\nmock_core_agent_class = _TestCoreAgent\n\n# Very lightweight mock for openai path required by internal OpenAIModel import\nmock_openai_chat_completion_message = MagicMock()\n\nmock_botocore_module = types.ModuleType(\"botocore\")\nmock_botocore_exceptions = types.ModuleType(\"botocore.exceptions\")\nmock_botocore_exceptions.ClientError = MagicMock()\nmock_botocore_module.exceptions = mock_botocore_exceptions\nmock_botocore_client = types.ModuleType(\"botocore.client\")\nmock_botocore_client.Config = MagicMock()\nmock_botocore_args = types.ModuleType(\"botocore.args\")\nmock_botocore_args.ClientArgsCreator = MagicMock()\nmock_botocore_regions = types.ModuleType(\"botocore.regions\")\nmock_botocore_regions.EndpointResolverBuiltins = MagicMock()\nmock_botocore_crt = types.ModuleType(\"botocore.crt\")\nmock_botocore_crt.CRT_SUPPORTED_AUTH_TYPES = []\n\n\nclass _MockMessageObserver:\n    def add_message(self, *args, **kwargs):\n        return None\n\n\nclass _MockProcessType:\n    TOKEN_COUNT = \"token_count\"\n    FINAL_ANSWER = \"final_answer\"\n    ERROR = \"error\"\n\n\nMessageObserver = _MockMessageObserver\nProcessType = _MockProcessType\n\n\nmock_nexent_core_utils_module = types.ModuleType(\"nexent.core.utils\")\nmock_nexent_core_utils_observer_module = types.ModuleType(\n    \"nexent.core.utils.observer\")\nmock_nexent_core_utils_observer_module.MessageObserver = _MockMessageObserver\nmock_nexent_core_utils_observer_module.ProcessType = _MockProcessType\n\nmock_sdk_module = types.ModuleType(\"sdk\")\nmock_sdk_nexent_module = types.ModuleType(\"sdk.nexent\")\nmock_sdk_nexent_core_module = types.ModuleType(\"sdk.nexent.core\")\nmock_sdk_nexent_core_agents_module = types.ModuleType(\"sdk.nexent.core.agents\")\nmock_sdk_nexent_core_utils_module = types.ModuleType(\"sdk.nexent.core.utils\")\nmock_sdk_nexent_core_utils_observer_module = types.ModuleType(\n    \"sdk.nexent.core.utils.observer\"\n)\nmock_sdk_nexent_core_utils_observer_module.MessageObserver = _MockMessageObserver\nmock_sdk_nexent_core_utils_observer_module.ProcessType = _MockProcessType\n\nmock_sdk_module.__path__ = [str(SDK_SOURCE_ROOT)]\nmock_sdk_nexent_module.__path__ = [str(SDK_SOURCE_ROOT / \"nexent\")]\nmock_sdk_nexent_core_module.__path__ = [\n    str(SDK_SOURCE_ROOT / \"nexent\" / \"core\")]\nmock_sdk_nexent_core_agents_module.__path__ = [\n    str(SDK_SOURCE_ROOT / \"nexent\" / \"core\" / \"agents\")\n]\nmock_sdk_nexent_core_utils_module.__path__ = [\n    str(SDK_SOURCE_ROOT / \"nexent\" / \"core\" / \"utils\")]\nmock_sdk_nexent_core_utils_observer_module.__path__ = []\n\nmock_prompt_template_utils_module = types.ModuleType(\n    \"nexent.core.utils.prompt_template_utils\"\n)\nmock_prompt_template_utils_module.get_prompt_template = MagicMock(\n    return_value=\"\")\n\nmock_tools_common_message_module = types.ModuleType(\n    \"nexent.core.utils.tools_common_message\"\n)\n\n\nclass _EnumStub:\n    def __init__(self, value):\n        self.value = value\n\n\nclass _MockToolCategory:\n    SEARCH = _EnumStub(\"search\")\n    FILE = _EnumStub(\"file\")\n    EMAIL = _EnumStub(\"email\")\n    TERMINAL = _EnumStub(\"terminal\")\n    MULTIMODAL = _EnumStub(\"multimodal\")\n\n\nclass _MockToolSign:\n    KNOWLEDGE_BASE = _EnumStub(\"a\")\n    EXA_SEARCH = _EnumStub(\"b\")\n    LINKUP_SEARCH = _EnumStub(\"c\")\n    TAVILY_SEARCH = _EnumStub(\"d\")\n    FILE_OPERATION = _EnumStub(\"f\")\n    TERMINAL_OPERATION = _EnumStub(\"t\")\n    MULTIMODAL_OPERATION = _EnumStub(\"m\")\n\n\nmock_tools_common_message_module.ToolCategory = _MockToolCategory\nmock_tools_common_message_module.ToolSign = _MockToolSign\n\nmock_nexent_core_utils_module.observer = mock_nexent_core_utils_observer_module\nmock_nexent_core_utils_module.prompt_template_utils = mock_prompt_template_utils_module\nmock_nexent_core_utils_module.tools_common_message = mock_tools_common_message_module\n\nmock_nexent_core_models_module = types.ModuleType(\"nexent.core.models\")\nmock_nexent_core_models_module.OpenAILongContextModel = MagicMock()\nmock_nexent_core_models_module.OpenAIVLModel = MagicMock()\n\nmock_nexent_core_module = types.ModuleType(\"nexent.core\")\nmock_nexent_core_module.utils = mock_nexent_core_utils_module\nmock_nexent_core_module.models = mock_nexent_core_models_module\nmock_nexent_core_module.MessageObserver = _MockMessageObserver\n\n# Create nexent.utils module placeholder - will be populated inside the with block\nmock_nexent_utils_module = types.ModuleType(\"nexent.utils\")\n\nmock_nexent_module = types.ModuleType(\"nexent\")\nmock_nexent_module.core = mock_nexent_core_module\nmock_nexent_module.utils = mock_nexent_utils_module\nmock_nexent_storage_module = types.ModuleType(\"nexent.storage\")\nmock_nexent_storage_module.MinIOStorageClient = MagicMock()\nmock_nexent_module.storage = mock_nexent_storage_module\nmock_nexent_multi_modal_module = types.ModuleType(\"nexent.multi_modal\")\nmock_nexent_load_save_module = types.ModuleType(\n    \"nexent.multi_modal.load_save_object\")\nmock_nexent_load_save_module.LoadSaveObjectManager = MagicMock()\nmock_nexent_module.multi_modal = mock_nexent_multi_modal_module\nmodule_mocks = {\n    \"sdk\": sdk_namespace_module,\n    \"smolagents\": mock_smolagents,\n    \"smolagents.tools\": mock_smolagents_tools,\n    \"smolagents.agents\": MagicMock(),\n    \"smolagents.memory\": MagicMock(),\n    \"smolagents.models\": MagicMock(),\n    \"smolagents.monitoring\": MagicMock(),\n    \"smolagents.utils\": MagicMock(),\n    \"smolagents.local_python_executor\": MagicMock(),\n    \"langchain\": mock_langchain,\n    \"langchain.tools\": mock_langchain_tools,\n    \"openai\": MagicMock(),\n    \"openai.types\": MagicMock(),\n    \"openai.types.chat\": MagicMock(),\n    \"openai.types.chat.chat_completion_message\": MagicMock(ChatCompletionMessage=mock_openai_chat_completion_message),\n    \"openai.types.chat.chat_completion_message_param\": MagicMock(),\n    # Mock exa_py to avoid importing the real package when sdk.nexent.core.tools imports it\n    \"exa_py\": MagicMock(Exa=MagicMock()),\n    # Mock paramiko to avoid PyO3 import issues in tests\n    \"paramiko\": MagicMock(),\n    \"boto3\": MagicMock(),\n    \"botocore\": mock_botocore_module,\n    \"botocore.client\": mock_botocore_client,\n    \"botocore.exceptions\": mock_botocore_exceptions,\n    \"botocore.args\": mock_botocore_args,\n    \"botocore.regions\": mock_botocore_regions,\n    \"botocore.crt\": mock_botocore_crt,\n    \"nexent\": mock_nexent_module,\n    \"nexent.core\": mock_nexent_core_module,\n    \"nexent.core.utils\": mock_nexent_core_utils_module,\n    \"nexent.utils\": mock_nexent_utils_module,\n    \"nexent.core.utils.observer\": mock_nexent_core_utils_observer_module,\n    \"sdk\": mock_sdk_module,\n    \"sdk.nexent\": mock_sdk_nexent_module,\n    \"sdk.nexent.core\": mock_sdk_nexent_core_module,\n    \"sdk.nexent.core.agents\": mock_sdk_nexent_core_agents_module,\n    \"sdk.nexent.core.utils\": mock_sdk_nexent_core_utils_module,\n    \"sdk.nexent.core.utils.observer\": mock_sdk_nexent_core_utils_observer_module,\n    \"nexent.core.utils.prompt_template_utils\": mock_prompt_template_utils_module,\n    \"nexent.core.utils.tools_common_message\": mock_tools_common_message_module,\n    \"nexent.core.models\": mock_nexent_core_models_module,\n    \"nexent.storage\": mock_nexent_storage_module,\n    \"nexent.multi_modal\": mock_nexent_multi_modal_module,\n    \"nexent.multi_modal.load_save_object\": mock_nexent_load_save_module,\n    # Mock tiktoken to avoid importing the real package when models import it\n    \"tiktoken\": MagicMock(),\n    # Mock the OpenAIModel import\n    \"sdk.nexent.core.models.openai_llm\": MagicMock(OpenAIModel=mock_openai_model_class),\n    # Mock CoreAgent import\n    \"sdk.nexent.core.agents.core_agent\": MagicMock(\n        CoreAgent=mock_core_agent_class,\n        convert_code_format=lambda s: s if isinstance(s, str) else str(s),\n    ),\n}\n\n# ---------------------------------------------------------------------------\n# Import the classes under test with patched dependencies in place\n# ---------------------------------------------------------------------------\nwith patch.dict(\"sys.modules\", module_mocks):\n    # Create mock http_client_manager module for analyze_text_file_tool\n    # This is needed because analyze_text_file_tool.py uses absolute import:\n    # \"from nexent.utils.http_client_manager import http_client_manager\"\n    mock_http_client_manager_module = MagicMock()\n    mock_http_client_manager_module.http_client_manager = MagicMock()\n\n    # We need to add this to sys.modules before the import happens\n    sys.modules[\"nexent.utils.http_client_manager\"] = mock_http_client_manager_module\n\n    from sdk.nexent.core.agents import nexent_agent\n    from sdk.nexent.core.agents.nexent_agent import NexentAgent, ActionStep, TaskStep\n    from sdk.nexent.core.agents.agent_model import ToolConfig, ModelConfig, AgentConfig, AgentHistory\n\n    # Clean up after import\n    sys.modules.pop(\"nexent.utils.http_client_manager\", None)\n\n\n# ----------------------------------------------------------------------------\n# Fixtures\n# ----------------------------------------------------------------------------\n\n@pytest.fixture(autouse=True)\ndef reset_mocks():\n    \"\"\"Reset all mocks before each test to ensure clean state.\"\"\"\n    mock_openai_model_class.reset_mock()\n    return None\n\n\n@pytest.fixture(autouse=True)\ndef patch_convert_code_format():\n    \"\"\"Ensure convert_code_format returns a plain string for downstream re.sub.\"\"\"\n    import sys\n    module = sys.modules.get(\"sdk.nexent.core.agents.nexent_agent\")\n    if module is None:\n        # If the module is not imported yet, skip patching to avoid triggering imports\n        yield\n        return\n    with patch.object(\n        module,\n        \"convert_code_format\",\n        new=lambda s: s if isinstance(s, str) else str(s),\n    ):\n        yield\n\n\n@pytest.fixture\ndef mock_observer():\n    \"\"\"Return a mocked MessageObserver instance.\"\"\"\n    observer = MagicMock(spec=MessageObserver)\n    return observer\n\n\n@pytest.fixture\ndef nexent_agent_instance(mock_observer):\n    \"\"\"Create a NexentAgent instance with minimal initialisation.\"\"\"\n    agent = NexentAgent(observer=mock_observer,\n                        model_config_list=[], stop_event=Event())\n    return agent\n\n\n@pytest.fixture\ndef mock_model_config():\n    \"\"\"Create a mock ModelConfig instance for testing.\"\"\"\n    return ModelConfig(\n        cite_name=\"test_model\",\n        api_key=\"test_api_key\",\n        model_name=\"gpt-4\",\n        url=\"https://api.openai.com/v1\",\n        temperature=0.7,\n        top_p=0.9,\n        model_factory=\"qwen\"\n    )\n\n\n@pytest.fixture\ndef mock_deep_thinking_model_config():\n    \"\"\"Create a mock ModelConfig instance for deep thinking model testing.\"\"\"\n    return ModelConfig(\n        cite_name=\"deep_thinking_model\",\n        api_key=\"test_api_key\",\n        model_name=\"gpt-4\",\n        url=\"https://api.openai.com/v1\",\n        temperature=0.5,\n        top_p=0.8,\n        model_factory=\"qwen\"\n    )\n\n\n@pytest.fixture\ndef nexent_agent_with_models(mock_observer, mock_model_config, mock_deep_thinking_model_config):\n    \"\"\"Create a NexentAgent instance with model configurations.\"\"\"\n    model_config_list = [mock_model_config, mock_deep_thinking_model_config]\n    agent = NexentAgent(observer=mock_observer,\n                        model_config_list=model_config_list, stop_event=Event())\n    return agent\n\n\n@pytest.fixture\ndef mock_agent_config():\n    \"\"\"Create a mock AgentConfig instance for testing.\"\"\"\n    return AgentConfig(\n        name=\"test_agent\",\n        description=\"A test agent\",\n        prompt_templates={\"system\": \"You are a test agent\"},\n        tools=[],\n        max_steps=5,\n        model_name=\"test_model\",\n        provide_run_summary=False,\n        managed_agents=[]\n    )\n\n\n@pytest.fixture\ndef mock_core_agent():\n    \"\"\"Create a mock CoreAgent instance for testing.\"\"\"\n    agent = mock_core_agent_class()\n    agent.agent_name = \"test_agent\"\n    agent.memory = MagicMock()\n    agent.memory.steps = []\n    agent.memory.reset = MagicMock()\n    agent.observer = MagicMock()\n    agent.stop_event = MagicMock()\n    agent.run = MagicMock()  # Ensure .run exists and is mockable\n    return agent\n\n\n# ----------------------------------------------------------------------------\n# Tests for __init__ method\n# ----------------------------------------------------------------------------\n\ndef test_nexent_agent_initialization_success(mock_observer):\n    \"\"\"Test successful NexentAgent initialization.\"\"\"\n    stop_event = Event()\n    agent = NexentAgent(observer=mock_observer,\n                        model_config_list=[], stop_event=stop_event)\n\n    assert agent.observer == mock_observer\n    assert agent.model_config_list == []\n    assert agent.stop_event == stop_event\n    assert agent.agent is None\n    assert agent.mcp_tool_collection is None\n\n\ndef test_nexent_agent_initialization_with_mcp_tools(mock_observer):\n    \"\"\"Test NexentAgent initialization with MCP tool collection.\"\"\"\n    stop_event = Event()\n    mcp_tools = MagicMock()\n    agent = NexentAgent(observer=mock_observer, model_config_list=[], stop_event=stop_event,\n                        mcp_tool_collection=mcp_tools)\n\n    assert agent.mcp_tool_collection == mcp_tools\n\n\ndef test_nexent_agent_initialization_invalid_observer():\n    \"\"\"Test NexentAgent initialization with invalid observer type.\"\"\"\n    stop_event = Event()\n    invalid_observer = \"not_a_message_observer\"\n\n    with pytest.raises(TypeError, match=\"Create Observer Object with MessageObserver\"):\n        NexentAgent(observer=invalid_observer,\n                    model_config_list=[], stop_event=stop_event)\n\n\n# ----------------------------------------------------------------------------\n# Tests for create_model function\n# ----------------------------------------------------------------------------\n\ndef test_create_model_success(nexent_agent_with_models, mock_model_config):\n    \"\"\"Test successful model creation with regular model.\"\"\"\n    # Use the existing mock that was set up at the top of the file\n    mock_model_instance = MagicMock()\n    mock_openai_model_class.return_value = mock_model_instance\n\n    # Call the method under test\n    result = nexent_agent_with_models.create_model(\"test_model\")\n\n    # Verify the result\n    assert result == mock_model_instance\n\n    # Verify OpenAIModel was constructed with correct parameters\n    mock_openai_model_class.assert_called_once_with(\n        observer=nexent_agent_with_models.observer,\n        model_id=mock_model_config.model_name,\n        api_key=mock_model_config.api_key,\n        model_factory=mock_model_config.model_factory,\n        api_base=mock_model_config.url,\n        temperature=mock_model_config.temperature,\n        top_p=mock_model_config.top_p,\n        ssl_verify=True\n    )\n\n    # Verify stop_event was set\n    assert result.stop_event == nexent_agent_with_models.stop_event\n\n\ndef test_create_model_deep_thinking_success(nexent_agent_with_models, mock_deep_thinking_model_config):\n    \"\"\"Test successful model creation with deep thinking model.\"\"\"\n    # Use the existing mock that was set up at the top of the file\n    mock_model_instance = MagicMock()\n    mock_openai_model_class.return_value = mock_model_instance\n\n    # Call the method under test\n    result = nexent_agent_with_models.create_model(\"deep_thinking_model\")\n\n    # Verify the result\n    assert result == mock_model_instance\n\n    # Verify OpenAIModel was constructed with correct parameters\n    mock_openai_model_class.assert_called_once_with(\n        observer=nexent_agent_with_models.observer,\n        model_id=mock_deep_thinking_model_config.model_name,\n        model_factory=mock_deep_thinking_model_config.model_factory,\n        api_key=mock_deep_thinking_model_config.api_key,\n        api_base=mock_deep_thinking_model_config.url,\n        temperature=mock_deep_thinking_model_config.temperature,\n        top_p=mock_deep_thinking_model_config.top_p,\n        ssl_verify=True\n    )\n\n    # Verify stop_event was set\n    assert result.stop_event == nexent_agent_with_models.stop_event\n\n\ndef test_create_model_not_found(nexent_agent_with_models):\n    \"\"\"Test create_model raises ValueError when model cite_name is not found.\"\"\"\n    with pytest.raises(ValueError, match=\"Model nonexistent_model not found\"):\n        nexent_agent_with_models.create_model(\"nonexistent_model\")\n\n\ndef test_create_model_empty_config_list(mock_observer):\n    \"\"\"Test create_model raises ValueError when model_config_list is empty.\"\"\"\n    agent = NexentAgent(observer=mock_observer,\n                        model_config_list=[], stop_event=Event())\n\n    with pytest.raises(ValueError, match=\"Model test_model not found\"):\n        agent.create_model(\"test_model\")\n\n\ndef test_create_model_with_none_config_list(mock_observer):\n    \"\"\"Test create_model raises ValueError when model_config_list contains None.\"\"\"\n    agent = NexentAgent(observer=mock_observer, model_config_list=[\n                        None], stop_event=Event())\n\n    with pytest.raises(ValueError, match=\"Model test_model not found\"):\n        agent.create_model(\"test_model\")\n\n\ndef test_create_model_with_multiple_configs(mock_observer):\n    \"\"\"Test create_model works correctly with multiple model configurations.\"\"\"\n    config1 = ModelConfig(\n        cite_name=\"model1\",\n        api_key=\"key1\",\n        model_name=\"gpt-4\",\n        url=\"https://api.openai.com/v1\",\n        temperature=0.1,\n        top_p=0.9\n    )\n    config2 = ModelConfig(\n        cite_name=\"model2\",\n        api_key=\"key2\",\n        model_name=\"gpt-3.5-turbo\",\n        url=\"https://api.openai.com/v1\",\n        temperature=0.5,\n        top_p=0.8\n    )\n\n    stop_event = Event()\n    agent = NexentAgent(observer=mock_observer, model_config_list=[\n                        config1, config2], stop_event=stop_event)\n\n    # Use the existing mock that was set up at the top of the file\n    mock_model = MagicMock()\n    mock_openai_model_class.return_value = mock_model\n\n    # Test creating first model\n    result1 = agent.create_model(\"model1\")\n    assert result1 == mock_model\n\n    # Test creating second model\n    result2 = agent.create_model(\"model2\")\n    assert result2 == mock_model\n\n\n# ----------------------------------------------------------------------------\n# Tests for tool creation functions\n# ----------------------------------------------------------------------------\n\ndef test_create_langchain_tool_success(nexent_agent_instance):\n    \"\"\"Verify that create_langchain_tool converts a LangChain tool via Tool.from_langchain.\"\"\"\n    mock_langchain_tool_obj = MagicMock(name=\"LangChainToolObject\")\n\n    tool_config = ToolConfig(\n        class_name=\"MockLangChainTool\",\n        name=\"mock_tool\",\n        description=\"desc\",\n        inputs=\"{}\",\n        output_type=\"string\",\n        params={},\n        source=\"langchain\",\n        metadata={\"inner_tool\": mock_langchain_tool_obj},\n    )\n\n    with patch.object(\n            mock_tool_class,\n            \"from_langchain\",\n            return_value=\"converted_tool\",\n    ) as mock_from_langchain:\n        # Execute\n        result = nexent_agent_instance.create_langchain_tool(tool_config)\n\n    # Assertions\n    mock_from_langchain.assert_called_once_with(\n        {\"inner_tool\": mock_langchain_tool_obj})\n    assert result == \"converted_tool\"\n\n\ndef test_create_tool_with_langchain_source(nexent_agent_instance):\n    \"\"\"Ensure create_tool dispatches to create_langchain_tool when source is 'langchain'.\"\"\"\n    mock_langchain_tool_obj = MagicMock()\n\n    tool_config = ToolConfig(\n        class_name=\"MockLangChainTool\",\n        name=\"mock_tool\",\n        description=\"desc\",\n        inputs=\"{}\",\n        output_type=\"string\",\n        params={},\n        source=\"langchain\",\n        metadata={},\n    )\n\n    with patch.object(\n            nexent_agent_instance,\n            \"create_langchain_tool\",\n            return_value=\"converted_tool\",\n    ) as mock_create_langchain_tool:\n        result = nexent_agent_instance.create_tool(tool_config)\n\n    mock_create_langchain_tool.assert_called_once_with(tool_config)\n    assert result == \"converted_tool\"\n\n\ndef test_create_tool_with_local_source(nexent_agent_instance):\n    \"\"\"Ensure create_tool dispatches to create_local_tool for local source.\"\"\"\n    tool_config = ToolConfig(\n        class_name=\"DummyTool\",\n        name=\"dummy\",\n        description=\"desc\",\n        inputs=\"{}\",\n        output_type=\"string\",\n        params={},\n        source=\"local\",\n        metadata={},\n    )\n\n    with patch.object(\n            nexent_agent_instance,\n            \"create_local_tool\",\n            return_value=\"local_tool\",\n    ) as mock_create_local_tool:\n        result = nexent_agent_instance.create_tool(tool_config)\n\n    mock_create_local_tool.assert_called_once_with(tool_config)\n    assert result == \"local_tool\"\n\n\ndef test_create_local_tool_success(nexent_agent_instance):\n    \"\"\"Test successful creation of a local tool.\"\"\"\n    mock_tool_class = MagicMock()\n    mock_tool_instance = MagicMock()\n    mock_tool_class.return_value = mock_tool_instance\n\n    tool_config = ToolConfig(\n        class_name=\"DummyTool\",\n        name=\"dummy\",\n        description=\"desc\",\n        inputs=\"{}\",\n        output_type=\"string\",\n        params={\"param1\": \"value1\", \"param2\": 42},\n        source=\"local\",\n        metadata={},\n    )\n\n    # Patch the module's globals to include our mock tool class\n    original_value = nexent_agent.__dict__.get(\"DummyTool\")\n    nexent_agent.__dict__[\"DummyTool\"] = mock_tool_class\n\n    try:\n        result = nexent_agent_instance.create_local_tool(tool_config)\n    finally:\n        # Restore original value\n        if original_value is not None:\n            nexent_agent.__dict__[\"DummyTool\"] = original_value\n        elif \"DummyTool\" in nexent_agent.__dict__:\n            del nexent_agent.__dict__[\"DummyTool\"]\n\n    mock_tool_class.assert_called_once_with(param1=\"value1\", param2=42)\n    assert result == mock_tool_instance\n\n\ndef test_create_local_tool_analyze_text_file_tool(nexent_agent_instance):\n    \"\"\"Test AnalyzeTextFileTool creation injects observer and metadata.\"\"\"\n    mock_analyze_tool_class = MagicMock()\n    mock_analyze_tool_instance = MagicMock()\n    mock_analyze_tool_class.return_value = mock_analyze_tool_instance\n\n    tool_config = ToolConfig(\n        class_name=\"AnalyzeTextFileTool\",\n        name=\"analyze_text_file\",\n        description=\"desc\",\n        inputs=\"{}\",\n        output_type=\"array\",\n        params={\"prompt\": \"describe this\"},\n        source=\"local\",\n        metadata={\n            \"llm_model\": \"llm_model_obj\",\n            \"storage_client\": \"storage_client_obj\",\n            \"data_process_service_url\": \"https://example.com\",\n        },\n    )\n\n    original_value = nexent_agent.__dict__.get(\"AnalyzeTextFileTool\")\n    nexent_agent.__dict__[\"AnalyzeTextFileTool\"] = mock_analyze_tool_class\n\n    try:\n        result = nexent_agent_instance.create_local_tool(tool_config)\n    finally:\n        if original_value is not None:\n            nexent_agent.__dict__[\"AnalyzeTextFileTool\"] = original_value\n        elif \"AnalyzeTextFileTool\" in nexent_agent.__dict__:\n            del nexent_agent.__dict__[\"AnalyzeTextFileTool\"]\n\n    mock_analyze_tool_class.assert_called_once_with(\n        observer=nexent_agent_instance.observer,\n        llm_model=\"llm_model_obj\",\n        storage_client=\"storage_client_obj\",\n        prompt=\"describe this\",\n        data_process_service_url=\"https://example.com\",\n    )\n    assert result == mock_analyze_tool_instance\n\n\ndef test_create_local_tool_class_not_found(nexent_agent_instance):\n    \"\"\"Test create_local_tool raises ValueError when class is not found.\"\"\"\n    tool_config = ToolConfig(\n        class_name=\"NonExistentTool\",\n        name=\"dummy\",\n        description=\"desc\",\n        inputs=\"{}\",\n        output_type=\"string\",\n        params={},\n        source=\"local\",\n        metadata={},\n    )\n\n    with pytest.raises(ValueError, match=\"NonExistentTool not found in local\"):\n        nexent_agent_instance.create_local_tool(tool_config)\n\n\ndef test_create_local_tool_knowledge_base_search_tool_success(nexent_agent_instance):\n    \"\"\"Test successful creation of KnowledgeBaseSearchTool with metadata.\"\"\"\n    mock_kb_tool_class = MagicMock()\n    mock_kb_tool_instance = MagicMock()\n    mock_kb_tool_class.return_value = mock_kb_tool_instance\n\n    mock_vdb_core = MagicMock()\n    mock_embedding_model = MagicMock()\n\n    tool_config = ToolConfig(\n        class_name=\"KnowledgeBaseSearchTool\",\n        name=\"knowledge_base_search\",\n        description=\"desc\",\n        inputs=\"{}\",\n        output_type=\"string\",\n        params={\"top_k\": 10},\n        source=\"local\",\n        metadata={\n            \"index_names\": [\"index1\", \"index2\"],\n            \"vdb_core\": mock_vdb_core,\n            \"embedding_model\": mock_embedding_model,\n        },\n    )\n\n    original_value = nexent_agent.__dict__.get(\"KnowledgeBaseSearchTool\")\n    nexent_agent.__dict__[\"KnowledgeBaseSearchTool\"] = mock_kb_tool_class\n\n    try:\n        result = nexent_agent_instance.create_local_tool(tool_config)\n    finally:\n        # Restore original value\n        if original_value is not None:\n            nexent_agent.__dict__[\"KnowledgeBaseSearchTool\"] = original_value\n        elif \"KnowledgeBaseSearchTool\" in nexent_agent.__dict__:\n            del nexent_agent.__dict__[\"KnowledgeBaseSearchTool\"]\n\n    # Verify only non-excluded params are passed to __init__\n    mock_kb_tool_class.assert_called_once_with(\n        top_k=10,  # Only non-excluded params passed to __init__\n    )\n    # Verify excluded parameters were set directly as attributes after instantiation\n    assert result == mock_kb_tool_instance\n    assert mock_kb_tool_instance.observer == nexent_agent_instance.observer\n    assert mock_kb_tool_instance.vdb_core == mock_vdb_core\n    assert mock_kb_tool_instance.embedding_model == mock_embedding_model\n\n\ndef test_create_local_tool_knowledge_base_search_tool_with_conflicting_params(nexent_agent_instance):\n    \"\"\"Test KnowledgeBaseSearchTool creation filters out conflicting params from params dict.\"\"\"\n    mock_kb_tool_class = MagicMock()\n    mock_kb_tool_instance = MagicMock()\n    mock_kb_tool_class.return_value = mock_kb_tool_instance\n\n    mock_vdb_core = MagicMock()\n    mock_embedding_model = MagicMock()\n\n    tool_config = ToolConfig(\n        class_name=\"KnowledgeBaseSearchTool\",\n        name=\"knowledge_base_search\",\n        description=\"desc\",\n        inputs=\"{}\",\n        output_type=\"string\",\n        params={\n            \"top_k\": 10,\n            # This should be filtered out\n            \"index_names\": [\"conflicting_index\"],\n            \"vdb_core\": \"conflicting_vdb\",  # This should be filtered out\n            \"embedding_model\": \"conflicting_model\",  # This should be filtered out\n            \"observer\": \"conflicting_observer\",  # This should be filtered out\n        },\n        source=\"local\",\n        metadata={\n            # These should be used instead\n            \"index_names\": [\"index1\", \"index2\"],\n            \"vdb_core\": mock_vdb_core,\n            \"embedding_model\": mock_embedding_model,\n        },\n    )\n\n    original_value = nexent_agent.__dict__.get(\"KnowledgeBaseSearchTool\")\n    nexent_agent.__dict__[\"KnowledgeBaseSearchTool\"] = mock_kb_tool_class\n\n    try:\n        result = nexent_agent_instance.create_local_tool(tool_config)\n    finally:\n        # Restore original value\n        if original_value is not None:\n            nexent_agent.__dict__[\"KnowledgeBaseSearchTool\"] = original_value\n        elif \"KnowledgeBaseSearchTool\" in nexent_agent.__dict__:\n            del nexent_agent.__dict__[\"KnowledgeBaseSearchTool\"]\n\n    # Verify conflicting params were filtered out from __init__ call\n    # Only non-excluded params should be passed to __init__ due to smolagents wrapper restrictions\n    mock_kb_tool_class.assert_called_once_with(\n        top_k=10,  # From filtered_params (not in conflict list)\n        # Not excluded by current implementation\n        index_names=[\"conflicting_index\"],\n    )\n    # Verify excluded parameters were set directly as attributes after instantiation\n    assert result == mock_kb_tool_instance\n    assert mock_kb_tool_instance.observer == nexent_agent_instance.observer\n    assert mock_kb_tool_instance.vdb_core == mock_vdb_core  # From metadata, not params\n    # From metadata, not params\n    assert mock_kb_tool_instance.embedding_model == mock_embedding_model\n\n\ndef test_create_local_tool_knowledge_base_search_tool_with_none_defaults(nexent_agent_instance):\n    \"\"\"Test KnowledgeBaseSearchTool creation with None defaults when metadata is missing.\"\"\"\n    mock_kb_tool_class = MagicMock()\n    mock_kb_tool_instance = MagicMock()\n    mock_kb_tool_class.return_value = mock_kb_tool_instance\n\n    tool_config = ToolConfig(\n        class_name=\"KnowledgeBaseSearchTool\",\n        name=\"knowledge_base_search\",\n        description=\"desc\",\n        inputs=\"{}\",\n        output_type=\"string\",\n        params={\"top_k\": 5},\n        source=\"local\",\n        metadata={},  # No metadata provided\n    )\n\n    original_value = nexent_agent.__dict__.get(\"KnowledgeBaseSearchTool\")\n    nexent_agent.__dict__[\"KnowledgeBaseSearchTool\"] = mock_kb_tool_class\n\n    try:\n        result = nexent_agent_instance.create_local_tool(tool_config)\n    finally:\n        # Restore original value\n        if original_value is not None:\n            nexent_agent.__dict__[\"KnowledgeBaseSearchTool\"] = original_value\n        elif \"KnowledgeBaseSearchTool\" in nexent_agent.__dict__:\n            del nexent_agent.__dict__[\"KnowledgeBaseSearchTool\"]\n\n    # Verify only non-excluded params are passed to __init__\n    mock_kb_tool_class.assert_called_once_with(\n        top_k=5,\n    )\n    # Verify excluded parameters were set directly as attributes with None defaults when metadata is missing\n    assert result == mock_kb_tool_instance\n    assert mock_kb_tool_instance.observer == nexent_agent_instance.observer\n    assert mock_kb_tool_instance.vdb_core is None\n    assert mock_kb_tool_instance.embedding_model is None\n    assert result == mock_kb_tool_instance\n\n\ndef test_create_local_tool_analyze_text_file_tool(nexent_agent_instance):\n    \"\"\"Test AnalyzeTextFileTool creation injects observer and metadata.\"\"\"\n    mock_analyze_tool_class = MagicMock()\n    mock_analyze_tool_instance = MagicMock()\n    mock_analyze_tool_class.return_value = mock_analyze_tool_instance\n\n    tool_config = ToolConfig(\n        class_name=\"AnalyzeTextFileTool\",\n        name=\"analyze_text_file\",\n        description=\"desc\",\n        inputs=\"{}\",\n        output_type=\"string\",\n        params={\"prompt\": \"describe this\"},\n        source=\"local\",\n        metadata={\n            \"llm_model\": \"llm_model_obj\",\n            \"storage_client\": \"storage_client_obj\",\n            \"data_process_service_url\": \"DATA_PROCESS_SERVICE\",\n\n        },\n    )\n\n    original_value = nexent_agent.__dict__.get(\"AnalyzeTextFileTool\")\n    nexent_agent.__dict__[\"AnalyzeTextFileTool\"] = mock_analyze_tool_class\n\n    try:\n        result = nexent_agent_instance.create_local_tool(tool_config)\n    finally:\n        if original_value is not None:\n            nexent_agent.__dict__[\"AnalyzeTextFileTool\"] = original_value\n        elif \"AnalyzeTextFileTool\" in nexent_agent.__dict__:\n            del nexent_agent.__dict__[\"AnalyzeTextFileTool\"]\n\n    mock_analyze_tool_class.assert_called_once_with(\n        observer=nexent_agent_instance.observer,\n        llm_model=\"llm_model_obj\",\n        storage_client=\"storage_client_obj\",\n        data_process_service_url=\"DATA_PROCESS_SERVICE\",\n        prompt=\"describe this\",\n    )\n    assert result == mock_analyze_tool_instance\n\n\ndef test_create_local_tool_analyze_image_tool(nexent_agent_instance):\n    \"\"\"Test AnalyzeImageTool creation injects observer and metadata.\"\"\"\n    mock_analyze_tool_class = MagicMock()\n    mock_analyze_tool_instance = MagicMock()\n    mock_analyze_tool_class.return_value = mock_analyze_tool_instance\n\n    tool_config = ToolConfig(\n        class_name=\"AnalyzeImageTool\",\n        name=\"analyze_image\",\n        description=\"desc\",\n        inputs=\"{}\",\n        output_type=\"string\",\n        params={\"prompt\": \"describe this\"},\n        source=\"local\",\n        metadata={\n            \"vlm_model\": \"vlm_model_obj\",\n            \"storage_client\": \"storage_client_obj\",\n        },\n    )\n\n    original_value = nexent_agent.__dict__.get(\"AnalyzeImageTool\")\n    nexent_agent.__dict__[\"AnalyzeImageTool\"] = mock_analyze_tool_class\n\n    try:\n        result = nexent_agent_instance.create_local_tool(tool_config)\n    finally:\n        if original_value is not None:\n            nexent_agent.__dict__[\"AnalyzeImageTool\"] = original_value\n        elif \"AnalyzeImageTool\" in nexent_agent.__dict__:\n            del nexent_agent.__dict__[\"AnalyzeImageTool\"]\n\n    mock_analyze_tool_class.assert_called_once_with(\n        observer=nexent_agent_instance.observer,\n        vlm_model=\"vlm_model_obj\",\n        storage_client=\"storage_client_obj\",\n        prompt=\"describe this\",\n    )\n    assert result == mock_analyze_tool_instance\n\n\ndef test_create_local_tool_analyze_image_tool(nexent_agent_instance):\n    \"\"\"Test AnalyzeImageTool creation injects observer and metadata.\"\"\"\n    mock_analyze_tool_class = MagicMock()\n    mock_analyze_tool_instance = MagicMock()\n    mock_analyze_tool_class.return_value = mock_analyze_tool_instance\n\n    tool_config = ToolConfig(\n        class_name=\"AnalyzeImageTool\",\n        name=\"analyze_image\",\n        description=\"desc\",\n        inputs=\"{}\",\n        output_type=\"string\",\n        params={\"prompt\": \"describe this\"},\n        source=\"local\",\n        metadata={\n            \"vlm_model\": \"vlm_model_obj\",\n            \"storage_client\": \"storage_client_obj\",\n        },\n    )\n\n    original_value = nexent_agent.__dict__.get(\"AnalyzeImageTool\")\n    nexent_agent.__dict__[\"AnalyzeImageTool\"] = mock_analyze_tool_class\n\n    try:\n        result = nexent_agent_instance.create_local_tool(tool_config)\n    finally:\n        if original_value is not None:\n            nexent_agent.__dict__[\"AnalyzeImageTool\"] = original_value\n        elif \"AnalyzeImageTool\" in nexent_agent.__dict__:\n            del nexent_agent.__dict__[\"AnalyzeImageTool\"]\n\n    mock_analyze_tool_class.assert_called_once_with(\n        observer=nexent_agent_instance.observer,\n        vlm_model=\"vlm_model_obj\",\n        storage_client=\"storage_client_obj\",\n        prompt=\"describe this\",\n    )\n    assert result == mock_analyze_tool_instance\n\n\ndef test_create_local_tool_with_observer_attribute(nexent_agent_instance):\n    \"\"\"Test create_local_tool sets observer attribute on tool if it exists.\"\"\"\n    mock_tool_class = MagicMock()\n    mock_tool_instance = MagicMock()\n    mock_tool_instance.observer = None  # Initially no observer\n    mock_tool_class.return_value = mock_tool_instance\n\n    tool_config = ToolConfig(\n        class_name=\"ToolWithObserver\",\n        name=\"tool\",\n        description=\"desc\",\n        inputs=\"{}\",\n        output_type=\"string\",\n        params={},\n        source=\"local\",\n        metadata={},\n    )\n\n    original_value = nexent_agent.__dict__.get(\"ToolWithObserver\")\n    nexent_agent.__dict__[\"ToolWithObserver\"] = mock_tool_class\n\n    try:\n        result = nexent_agent_instance.create_local_tool(tool_config)\n    finally:\n        # Restore original value\n        if original_value is not None:\n            nexent_agent.__dict__[\"ToolWithObserver\"] = original_value\n        elif \"ToolWithObserver\" in nexent_agent.__dict__:\n            del nexent_agent.__dict__[\"ToolWithObserver\"]\n\n    # Verify observer was set on the tool instance\n    assert result.observer == nexent_agent_instance.observer\n\n\ndef test_create_tool_with_mcp_source(nexent_agent_instance):\n    \"\"\"Ensure create_tool dispatches to create_mcp_tool for mcp source.\"\"\"\n    tool_config = ToolConfig(\n        class_name=\"DummyTool\",\n        name=\"dummy\",\n        description=\"desc\",\n        inputs=\"{}\",\n        output_type=\"string\",\n        params={},\n        source=\"mcp\",\n        metadata={},\n    )\n\n    with patch.object(\n            nexent_agent_instance,\n            \"create_mcp_tool\",\n            return_value=\"mcp_tool\",\n    ) as mock_create_mcp_tool:\n        result = nexent_agent_instance.create_tool(tool_config)\n\n    mock_create_mcp_tool.assert_called_once_with(\"DummyTool\")\n    assert result == \"mcp_tool\"\n\n\ndef test_create_tool_invalid_source(nexent_agent_instance):\n    \"\"\"create_tool should raise ValueError for unsupported source.\"\"\"\n    tool_config = ToolConfig(\n        class_name=\"DummyTool\",\n        name=\"dummy\",\n        description=\"desc\",\n        inputs=\"{}\",\n        output_type=\"string\",\n        params={},\n        source=\"unknown\",\n        metadata={},\n    )\n    with pytest.raises(ValueError, match=\"unsupported tool source: unknown\"):\n        nexent_agent_instance.create_tool(tool_config)\n\n\ndef test_create_tool_invalid_config_type(nexent_agent_instance):\n    \"\"\"create_tool should raise TypeError when passed a non-ToolConfig object.\"\"\"\n    with pytest.raises(TypeError, match=\"tool_config must be a ToolConfig object\"):\n        nexent_agent_instance.create_tool({})\n\n\ndef test_create_tool_exception_handling(nexent_agent_instance):\n    \"\"\"create_tool should handle exceptions and raise ValueError with error message.\"\"\"\n    tool_config = ToolConfig(\n        class_name=\"DummyTool\",\n        name=\"dummy\",\n        description=\"desc\",\n        inputs=\"{}\",\n        output_type=\"string\",\n        params={},\n        source=\"local\",\n        metadata={},\n    )\n\n    with patch.object(\n            nexent_agent_instance,\n            \"create_local_tool\",\n            side_effect=Exception(\"Tool creation failed\"),\n    ):\n        with pytest.raises(ValueError, match=\"Error in creating tool: Tool creation failed\"):\n            nexent_agent_instance.create_tool(tool_config)\n\n\ndef test_create_single_agent_invalid_config_type(nexent_agent_instance):\n    \"\"\"Test create_single_agent raises TypeError with invalid config type.\"\"\"\n    with pytest.raises(TypeError, match=\"agent_config must be a AgentConfig object\"):\n        nexent_agent_instance.create_single_agent({})\n\n\ndef test_create_single_agent_tool_creation_error(nexent_agent_instance, mock_agent_config):\n    \"\"\"Test create_single_agent handles tool creation errors.\"\"\"\n    mock_agent_config.tools = [ToolConfig(\n        class_name=\"TestTool\",\n        name=\"test\",\n        description=\"test\",\n        inputs=\"{}\",\n        output_type=\"string\",\n        params={},\n        source=\"local\",\n        metadata={}\n    )]\n\n    with patch.object(nexent_agent_instance, 'create_model') as mock_create_model, \\\n            patch.object(nexent_agent_instance, 'create_tool', side_effect=Exception(\"Tool error\")):\n        mock_model = MagicMock()\n        mock_create_model.return_value = mock_model\n\n        with pytest.raises(ValueError, match=\"Error in creating tool: Tool error\"):\n            nexent_agent_instance.create_single_agent(mock_agent_config)\n\n\ndef test_create_single_agent_general_error(nexent_agent_instance, mock_agent_config):\n    \"\"\"Test create_single_agent handles general errors.\"\"\"\n    with patch.object(nexent_agent_instance, 'create_model', side_effect=Exception(\"General error\")):\n        with pytest.raises(ValueError, match=\"Error in creating agent, agent name: test_agent, Error: General error\"):\n            nexent_agent_instance.create_single_agent(mock_agent_config)\n\n\ndef test_add_history_to_agent_none_history(nexent_agent_instance, mock_core_agent):\n    \"\"\"Test add_history_to_agent handles None history gracefully.\"\"\"\n    nexent_agent_instance.agent = mock_core_agent\n\n    # Should not raise any exception\n    nexent_agent_instance.add_history_to_agent(None)\n\n    # Memory should not be modified\n    mock_core_agent.memory.reset.assert_not_called()\n    assert len(mock_core_agent.memory.steps) == 0\n\n\ndef test_add_history_to_agent_user_and_assistant_history(nexent_agent_instance, mock_core_agent):\n    \"\"\"Test add_history_to_agent correctly converts user and assistant messages to memory steps.\"\"\"\n    nexent_agent_instance.agent = mock_core_agent\n\n    user_msg = AgentHistory(role=\"user\", content=\"User question\")\n    assistant_msg = AgentHistory(role=\"assistant\", content=\"Assistant reply\")\n\n    nexent_agent_instance.add_history_to_agent([user_msg, assistant_msg])\n\n    mock_core_agent.memory.reset.assert_called_once()\n    assert len(mock_core_agent.memory.steps) == 2\n\n    # First step should be a TaskStep for the user message\n    first_step = mock_core_agent.memory.steps[0]\n    assert isinstance(first_step, TaskStep)\n    assert first_step.task == \"User question\"\n\n    # Second step should be an ActionStep for the assistant message\n    second_step = mock_core_agent.memory.steps[1]\n    assert isinstance(second_step, ActionStep)\n    assert second_step.action_output == \"Assistant reply\"\n    assert second_step.model_output == \"Assistant reply\"\n\n\ndef test_add_history_to_agent_invalid_agent_type(nexent_agent_instance):\n    \"\"\"Test add_history_to_agent raises TypeError when agent is not a CoreAgent.\"\"\"\n    nexent_agent_instance.agent = \"not_core_agent\"\n\n    with pytest.raises(TypeError, match=\"agent must be a CoreAgent object\"):\n        nexent_agent_instance.add_history_to_agent([])\n\n\ndef test_add_history_to_agent_invalid_history_items(nexent_agent_instance, mock_core_agent):\n    \"\"\"Test add_history_to_agent raises TypeError when history items are not AgentHistory.\"\"\"\n    nexent_agent_instance.agent = mock_core_agent\n\n    invalid_history = [{\"role\": \"user\", \"content\": \"hello\"}]\n\n    with pytest.raises(TypeError, match=\"history must be a list of AgentHistory objects\"):\n        nexent_agent_instance.add_history_to_agent(invalid_history)\n\n\ndef test_agent_run_with_observer_success_with_agent_text(nexent_agent_instance, mock_core_agent):\n    \"\"\"Test successful agent_run_with_observer with AgentText final answer.\"\"\"\n    # Setup\n    nexent_agent_instance.agent = mock_core_agent\n    mock_core_agent.stop_event.is_set.return_value = False\n\n    # Mock step logs\n    mock_action_step = MagicMock(spec=ActionStep)\n    mock_action_step.duration = 1.5\n    mock_action_step.error = None\n\n    # Use an instance of our _AgentText so isinstance(..., AgentText) is valid\n    mock_final_answer = _AgentText(\n        \"Final answer with <think>thinking</think> content\")\n\n    mock_core_agent.run.return_value = [mock_action_step]\n    mock_core_agent.run.return_value[-1].output = mock_final_answer\n\n    # Execute\n    nexent_agent_instance.agent_run_with_observer(\"test query\")\n\n    # Verify\n    mock_core_agent.run.assert_called_once_with(\n        \"test query\", stream=True, reset=True)\n    mock_core_agent.observer.add_message.assert_any_call(\n        \"\", ProcessType.TOKEN_COUNT, \"1.5\")\n    mock_core_agent.observer.add_message.assert_any_call(\n        \"test_agent\", ProcessType.FINAL_ANSWER, \" content\")\n\n\ndef test_agent_run_with_observer_success_with_string_final_answer(nexent_agent_instance, mock_core_agent):\n    \"\"\"Test successful agent_run_with_observer with string final answer.\"\"\"\n    # Setup\n    nexent_agent_instance.agent = mock_core_agent\n    mock_core_agent.stop_event.is_set.return_value = False\n\n    # Mock step logs\n    mock_action_step = MagicMock(spec=ActionStep)\n    mock_action_step.duration = 2.0\n    mock_action_step.error = None\n\n    mock_core_agent.run.return_value = [mock_action_step]\n    mock_core_agent.run.return_value[-1].output = \"String final answer with <think>thinking</think>\"\n\n    # Execute\n    nexent_agent_instance.agent_run_with_observer(\"test query\")\n\n    # Verify\n    mock_core_agent.observer.add_message.assert_any_call(\n        \"\", ProcessType.TOKEN_COUNT, \"2.0\")\n    mock_core_agent.observer.add_message.assert_any_call(\n        \"test_agent\", ProcessType.FINAL_ANSWER, \"\")\n\n\ndef test_agent_run_with_observer_with_error_in_step(nexent_agent_instance, mock_core_agent):\n    \"\"\"Test agent_run_with_observer handles error in step log.\"\"\"\n    # Setup\n    nexent_agent_instance.agent = mock_core_agent\n    mock_core_agent.stop_event.is_set.return_value = False\n\n    # Mock step logs with error\n    mock_action_step = MagicMock(spec=ActionStep)\n    mock_action_step.duration = 1.0\n    mock_action_step.error = \"Test error occurred\"\n\n    mock_core_agent.run.return_value = [mock_action_step]\n    mock_core_agent.run.return_value[-1].output = \"Final answer\"\n\n    # Execute\n    nexent_agent_instance.agent_run_with_observer(\"test query\")\n\n    # Verify error message was added\n    mock_core_agent.observer.add_message.assert_any_call(\n        \"\", ProcessType.ERROR, \"Test error occurred\")\n\n\ndef test_agent_run_with_observer_skips_non_action_step(nexent_agent_instance, mock_core_agent):\n    \"\"\"Test agent_run_with_observer skips non-ActionStep logs.\"\"\"\n    # Setup\n    nexent_agent_instance.agent = mock_core_agent\n    mock_core_agent.stop_event.is_set.return_value = False\n\n    # Mock step logs with non-ActionStep\n    mock_task_step = MagicMock(spec=TaskStep)\n    mock_action_step = MagicMock(spec=ActionStep)\n    mock_action_step.duration = 1.0\n    mock_action_step.error = None\n\n    mock_core_agent.run.return_value = [mock_task_step, mock_action_step]\n    mock_core_agent.run.return_value[-1].output = \"Final answer\"\n\n    # Execute\n    nexent_agent_instance.agent_run_with_observer(\"test query\")\n\n    # Verify only ActionStep was processed\n    mock_core_agent.observer.add_message.assert_any_call(\n        \"\", ProcessType.TOKEN_COUNT, \"1.0\")\n    # Should not process TaskStep\n\n\ndef test_agent_run_with_observer_with_stop_event_set(nexent_agent_instance, mock_core_agent):\n    \"\"\"Test agent_run_with_observer handles stop event being set.\"\"\"\n    # Setup\n    nexent_agent_instance.agent = mock_core_agent\n    mock_core_agent.stop_event.is_set.return_value = True\n\n    # Mock step logs\n    mock_action_step = MagicMock(spec=ActionStep)\n    mock_action_step.duration = 1.0\n    mock_action_step.error = None\n\n    mock_core_agent.run.return_value = [mock_action_step]\n    mock_core_agent.run.return_value[-1].output = \"Final answer\"\n\n    # Execute\n    nexent_agent_instance.agent_run_with_observer(\"test query\")\n\n    # Verify stop event message was added\n    mock_core_agent.observer.add_message.assert_any_call(\n        \"test_agent\", ProcessType.ERROR, \"Agent execution interrupted by external stop signal\"\n    )\n\n\ndef test_agent_run_with_observer_with_exception(nexent_agent_instance, mock_core_agent):\n    \"\"\"Test agent_run_with_observer handles exceptions during execution.\"\"\"\n    # Setup\n    nexent_agent_instance.agent = mock_core_agent\n    mock_core_agent.run.side_effect = Exception(\"Test execution error\")\n\n    # Execute and verify exception is raised\n    with pytest.raises(ValueError, match=\"Error in interaction: Test execution error\"):\n        nexent_agent_instance.agent_run_with_observer(\"test query\")\n\n    # Verify error message was added to observer\n    mock_core_agent.observer.add_message.assert_called_once_with(\n        agent_name=\"test_agent\", process_type=ProcessType.ERROR, content=\"Error in interaction: Test execution error\"\n    )\n\n\ndef test_agent_run_with_observer_invalid_agent_type(nexent_agent_instance):\n    \"\"\"Test agent_run_with_observer raises TypeError when agent is not a CoreAgent.\"\"\"\n    nexent_agent_instance.agent = \"not_core_agent\"\n\n    with pytest.raises(TypeError, match=\"agent must be a CoreAgent object\"):\n        nexent_agent_instance.agent_run_with_observer(\"test query\")\n\n\ndef test_agent_run_with_observer_with_reset_false(nexent_agent_instance, mock_core_agent):\n    \"\"\"Test agent_run_with_observer with reset=False parameter.\"\"\"\n    # Setup\n    nexent_agent_instance.agent = mock_core_agent\n    mock_core_agent.stop_event.is_set.return_value = False\n\n    # Mock step logs\n    mock_action_step = MagicMock(spec=ActionStep)\n    mock_action_step.duration = 1.0\n    mock_action_step.error = None\n\n    mock_core_agent.run.return_value = [mock_action_step]\n    mock_core_agent.run.return_value[-1].output = \"Final answer\"\n\n    # Execute with reset=False\n    nexent_agent_instance.agent_run_with_observer(\"test query\", reset=False)\n\n    # Verify run was called with reset=False\n    mock_core_agent.run.assert_called_once_with(\n        \"test query\", stream=True, reset=False)\n\n\ndef test_agent_run_with_observer_removes_think_prefix_chinese_colon(nexent_agent_instance, mock_core_agent):\n    \"\"\"Test agent_run_with_observer removes '思考：' prefix content until two newlines.\"\"\"\n    # Setup\n    nexent_agent_instance.agent = mock_core_agent\n    mock_core_agent.stop_event.is_set.return_value = False\n\n    # Mock step logs\n    mock_action_step = MagicMock(spec=ActionStep)\n    mock_action_step.duration = 1.0\n    mock_action_step.error = None\n\n    # Test with Chinese colon \"思考：\" followed by content and two newlines\n    final_answer_with_think = (\n        \"思考：用户需要一份营养早餐的搭配建议。作为健康饮食搭配助手，我需要基于营养学知识，提供一份科学、均衡、易于准备的早餐方案。由于没有可用工具，我将直接给出建议，包括食物种类、分量和营养说明。\\n\\n\"\n        \"一份营养均衡的早餐应包含碳水化合物、蛋白质、健康脂肪、维生素和矿物质。以下是我的推荐：\"\n    )\n    mock_core_agent.run.return_value = [mock_action_step]\n    mock_core_agent.run.return_value[-1].output = final_answer_with_think\n\n    # Execute\n    nexent_agent_instance.agent_run_with_observer(\"test query\")\n\n    # Verify the \"思考：\" prefix content was removed\n    expected_final_answer = (\n        \"一份营养均衡的早餐应包含碳水化合物、蛋白质、健康脂肪、维生素和矿物质。以下是我的推荐：\"\n    )\n    mock_core_agent.observer.add_message.assert_any_call(\n        \"test_agent\", ProcessType.FINAL_ANSWER, expected_final_answer\n    )\n\n\ndef test_agent_run_with_observer_removes_think_prefix_english_colon(nexent_agent_instance, mock_core_agent):\n    \"\"\"Test agent_run_with_observer removes '思考:' prefix content until two newlines.\"\"\"\n    # Setup\n    nexent_agent_instance.agent = mock_core_agent\n    mock_core_agent.stop_event.is_set.return_value = False\n\n    # Mock step logs\n    mock_action_step = MagicMock(spec=ActionStep)\n    mock_action_step.duration = 1.0\n    mock_action_step.error = None\n\n    # Test with English colon \"思考:\" followed by content and two newlines\n    final_answer_with_think = (\n        \"思考:This is a thinking process about the user's question.\\n\\n\"\n        \"Here is the actual answer to the question.\"\n    )\n    mock_core_agent.run.return_value = [mock_action_step]\n    mock_core_agent.run.return_value[-1].output = final_answer_with_think\n\n    # Execute\n    nexent_agent_instance.agent_run_with_observer(\"test query\")\n\n    # Verify the \"思考:\" prefix content was removed\n    expected_final_answer = \"Here is the actual answer to the question.\"\n    mock_core_agent.observer.add_message.assert_any_call(\n        \"test_agent\", ProcessType.FINAL_ANSWER, expected_final_answer\n    )\n\n\ndef test_agent_run_with_observer_preserves_think_prefix_without_two_newlines(nexent_agent_instance, mock_core_agent):\n    \"\"\"Test agent_run_with_observer preserves '思考：' content when not followed by two newlines.\"\"\"\n    # Setup\n    nexent_agent_instance.agent = mock_core_agent\n    mock_core_agent.stop_event.is_set.return_value = False\n\n    # Mock step logs\n    mock_action_step = MagicMock(spec=ActionStep)\n    mock_action_step.duration = 1.0\n    mock_action_step.error = None\n\n    # Test with \"思考：\" but only one newline (should not be removed)\n    final_answer_with_think = (\n        \"思考：This is thinking content.\\n\"\n        \"Here is the actual answer.\"\n    )\n    mock_core_agent.run.return_value = [mock_action_step]\n    mock_core_agent.run.return_value[-1].output = final_answer_with_think\n\n    # Execute\n    nexent_agent_instance.agent_run_with_observer(\"test query\")\n\n    # Verify the content was preserved (not removed because no \\n\\n)\n    expected_final_answer = (\n        \"思考：This is thinking content.\\n\"\n        \"Here is the actual answer.\"\n    )\n    mock_core_agent.observer.add_message.assert_any_call(\n        \"test_agent\", ProcessType.FINAL_ANSWER, expected_final_answer\n    )\n\n\ndef test_agent_run_with_observer_removes_both_think_tag_and_think_prefix(nexent_agent_instance, mock_core_agent):\n    \"\"\"Test agent_run_with_observer removes both THINK_TAG_PATTERN and THINK_PREFIX_PATTERN.\"\"\"\n    # Setup\n    nexent_agent_instance.agent = mock_core_agent\n    mock_core_agent.stop_event.is_set.return_value = False\n\n    # Mock step logs\n    mock_action_step = MagicMock(spec=ActionStep)\n    mock_action_step.duration = 1.0\n    mock_action_step.error = None\n\n    # Test with both <think> tags and \"思考：\" prefix\n    final_answer_with_both = (\n        \"<think>Some reasoning content</think>\"\n        \"思考：用户需要一份营养早餐的搭配建议。\\n\\n\"\n        \"一份营养均衡的早餐应包含碳水化合物、蛋白质、健康脂肪、维生素和矿物质。\"\n    )\n    mock_core_agent.run.return_value = [mock_action_step]\n    mock_core_agent.run.return_value[-1].output = final_answer_with_both\n\n    # Execute\n    nexent_agent_instance.agent_run_with_observer(\"test query\")\n\n    # Verify both patterns were removed\n    expected_final_answer = \"一份营养均衡的早餐应包含碳水化合物、蛋白质、健康脂肪、维生素和矿物质。\"\n    mock_core_agent.observer.add_message.assert_any_call(\n        \"test_agent\", ProcessType.FINAL_ANSWER, expected_final_answer\n    )\n\n\ndef test_agent_run_with_observer_think_prefix_in_middle(nexent_agent_instance, mock_core_agent):\n    \"\"\"Test agent_run_with_observer removes '思考：' even when it appears in the middle of text.\"\"\"\n    # Setup\n    nexent_agent_instance.agent = mock_core_agent\n    mock_core_agent.stop_event.is_set.return_value = False\n\n    # Mock step logs\n    mock_action_step = MagicMock(spec=ActionStep)\n    mock_action_step.duration = 1.0\n    mock_action_step.error = None\n\n    # Test with \"思考：\" in the middle of the text\n    final_answer_with_think = (\n        \"Some initial content. \"\n        \"思考：This is thinking content in the middle.\\n\\n\"\n        \"Here is the rest of the answer.\"\n    )\n    mock_core_agent.run.return_value = [mock_action_step]\n    mock_core_agent.run.return_value[-1].output = final_answer_with_think\n\n    # Execute\n    nexent_agent_instance.agent_run_with_observer(\"test query\")\n\n    # Verify the \"思考：\" content was removed\n    expected_final_answer = \"Some initial content. Here is the rest of the answer.\"\n    mock_core_agent.observer.add_message.assert_any_call(\n        \"test_agent\", ProcessType.FINAL_ANSWER, expected_final_answer\n    )\n\n\ndef test_agent_run_with_observer_no_think_prefix(nexent_agent_instance, mock_core_agent):\n    \"\"\"Test agent_run_with_observer handles content without '思考：' prefix normally.\"\"\"\n    # Setup\n    nexent_agent_instance.agent = mock_core_agent\n    mock_core_agent.stop_event.is_set.return_value = False\n\n    # Mock step logs\n    mock_action_step = MagicMock(spec=ActionStep)\n    mock_action_step.duration = 1.0\n    mock_action_step.error = None\n\n    # Test with normal content without \"思考：\" prefix\n    final_answer_normal = \"This is a normal final answer without any thinking prefix.\"\n    mock_core_agent.run.return_value = [mock_action_step]\n    mock_core_agent.run.return_value[-1].output = final_answer_normal\n\n    # Execute\n    nexent_agent_instance.agent_run_with_observer(\"test query\")\n\n    # Verify the content was preserved as-is\n    mock_core_agent.observer.add_message.assert_any_call(\n        \"test_agent\", ProcessType.FINAL_ANSWER, final_answer_normal\n    )\n\n\ndef test_agent_run_with_observer_think_prefix_with_agent_text(nexent_agent_instance, mock_core_agent):\n    \"\"\"Test agent_run_with_observer removes '思考：' prefix when final answer is AgentText.\"\"\"\n    # Setup\n    nexent_agent_instance.agent = mock_core_agent\n    mock_core_agent.stop_event.is_set.return_value = False\n\n    # Mock step logs\n    mock_action_step = MagicMock(spec=ActionStep)\n    mock_action_step.duration = 1.0\n    mock_action_step.error = None\n\n    # Test with AgentText containing \"思考：\" prefix\n    final_answer_with_think = (\n        \"思考：用户需要一份营养早餐的搭配建议。\\n\\n\"\n        \"一份营养均衡的早餐应包含碳水化合物、蛋白质、健康脂肪、维生素和矿物质。\"\n    )\n    mock_final_answer = _AgentText(final_answer_with_think)\n\n    mock_core_agent.run.return_value = [mock_action_step]\n    mock_core_agent.run.return_value[-1].output = mock_final_answer\n\n    # Execute\n    nexent_agent_instance.agent_run_with_observer(\"test query\")\n\n    # Verify the \"思考：\" prefix content was removed\n    expected_final_answer = \"一份营养均衡的早餐应包含碳水化合物、蛋白质、健康脂肪、维生素和矿物质。\"\n    mock_core_agent.observer.add_message.assert_any_call(\n        \"test_agent\", ProcessType.FINAL_ANSWER, expected_final_answer\n    )\n\n\ndef test_create_local_tool_datamate_search_tool_success(nexent_agent_instance):\n    \"\"\"Test successful creation of DataMateSearchTool with metadata.\"\"\"\n    mock_datamate_tool_class = MagicMock()\n    mock_datamate_tool_instance = MagicMock()\n    mock_datamate_tool_class.return_value = mock_datamate_tool_instance\n\n    tool_config = ToolConfig(\n        class_name=\"DataMateSearchTool\",\n        name=\"datamate_search\",\n        description=\"desc\",\n        inputs=\"{}\",\n        output_type=\"string\",\n        params={\"top_k\": 10, \"server_ip\": \"127.0.0.1\", \"server_port\": 8080},\n        source=\"local\",\n        metadata={\n            \"index_names\": [\"datamate_index1\", \"datamate_index2\"],\n        },\n    )\n\n    original_value = nexent_agent.__dict__.get(\"DataMateSearchTool\")\n    nexent_agent.__dict__[\"DataMateSearchTool\"] = mock_datamate_tool_class\n\n    try:\n        result = nexent_agent_instance.create_local_tool(tool_config)\n    finally:\n        # Restore original value\n        if original_value is not None:\n            nexent_agent.__dict__[\"DataMateSearchTool\"] = original_value\n        elif \"DataMateSearchTool\" in nexent_agent.__dict__:\n            del nexent_agent.__dict__[\"DataMateSearchTool\"]\n\n    # Verify tool was created with all params\n    mock_datamate_tool_class.assert_called_once_with(\n        top_k=10, server_ip=\"127.0.0.1\", server_port=8080\n    )\n    # Verify excluded parameters were set directly as attributes after instantiation\n    assert result == mock_datamate_tool_instance\n    assert mock_datamate_tool_instance.observer == nexent_agent_instance.observer\n\n\ndef test_create_local_tool_datamate_search_tool_with_none_defaults(nexent_agent_instance):\n    \"\"\"Test DataMateSearchTool creation with None defaults when metadata is missing.\"\"\"\n    mock_datamate_tool_class = MagicMock()\n    mock_datamate_tool_instance = MagicMock()\n    mock_datamate_tool_class.return_value = mock_datamate_tool_instance\n\n    tool_config = ToolConfig(\n        class_name=\"DataMateSearchTool\",\n        name=\"datamate_search\",\n        description=\"desc\",\n        inputs=\"{}\",\n        output_type=\"string\",\n        params={\"top_k\": 5, \"server_ip\": \"127.0.0.1\", \"server_port\": 8080},\n        source=\"local\",\n        metadata={},  # No metadata provided\n    )\n\n    original_value = nexent_agent.__dict__.get(\"DataMateSearchTool\")\n    nexent_agent.__dict__[\"DataMateSearchTool\"] = mock_datamate_tool_class\n\n    try:\n        result = nexent_agent_instance.create_local_tool(tool_config)\n    finally:\n        # Restore original value\n        if original_value is not None:\n            nexent_agent.__dict__[\"DataMateSearchTool\"] = original_value\n        elif \"DataMateSearchTool\" in nexent_agent.__dict__:\n            del nexent_agent.__dict__[\"DataMateSearchTool\"]\n\n    # Verify tool was created with all params\n    mock_datamate_tool_class.assert_called_once_with(\n        top_k=5, server_ip=\"127.0.0.1\", server_port=8080\n    )\n    # Verify excluded parameters were set directly as attributes with None defaults when metadata is missing\n    assert result == mock_datamate_tool_instance\n    assert mock_datamate_tool_instance.observer == nexent_agent_instance.observer\n\n\ndef test_create_local_tool_datamate_search_tool_success(nexent_agent_instance):\n    \"\"\"Test successful creation of DataMateSearchTool with metadata.\"\"\"\n    mock_datamate_tool_class = MagicMock()\n    mock_datamate_tool_instance = MagicMock()\n    mock_datamate_tool_class.return_value = mock_datamate_tool_instance\n\n    tool_config = ToolConfig(\n        class_name=\"DataMateSearchTool\",\n        name=\"datamate_search\",\n        description=\"desc\",\n        inputs=\"{}\",\n        output_type=\"string\",\n        params={\"top_k\": 10, \"server_ip\": \"127.0.0.1\", \"server_port\": 8080},\n        source=\"local\",\n        metadata={\n            \"index_names\": [\"datamate_index1\", \"datamate_index2\"],\n        },\n    )\n\n    original_value = nexent_agent.__dict__.get(\"DataMateSearchTool\")\n    nexent_agent.__dict__[\"DataMateSearchTool\"] = mock_datamate_tool_class\n\n    try:\n        result = nexent_agent_instance.create_local_tool(tool_config)\n    finally:\n        # Restore original value\n        if original_value is not None:\n            nexent_agent.__dict__[\"DataMateSearchTool\"] = original_value\n        elif \"DataMateSearchTool\" in nexent_agent.__dict__:\n            del nexent_agent.__dict__[\"DataMateSearchTool\"]\n\n    # Verify tool was created with all params\n    mock_datamate_tool_class.assert_called_once_with(\n        top_k=10, server_ip=\"127.0.0.1\", server_port=8080\n    )\n    # Verify excluded parameters were set directly as attributes after instantiation\n    assert result == mock_datamate_tool_instance\n    assert mock_datamate_tool_instance.observer == nexent_agent_instance.observer\n\n\ndef test_create_local_tool_datamate_search_tool_with_none_defaults(nexent_agent_instance):\n    \"\"\"Test DataMateSearchTool creation with None defaults when metadata is missing.\"\"\"\n    mock_datamate_tool_class = MagicMock()\n    mock_datamate_tool_instance = MagicMock()\n    mock_datamate_tool_class.return_value = mock_datamate_tool_instance\n\n    tool_config = ToolConfig(\n        class_name=\"DataMateSearchTool\",\n        name=\"datamate_search\",\n        description=\"desc\",\n        inputs=\"{}\",\n        output_type=\"string\",\n        params={\"top_k\": 5, \"server_ip\": \"127.0.0.1\", \"server_port\": 8080},\n        source=\"local\",\n        metadata={},  # No metadata provided\n    )\n\n    original_value = nexent_agent.__dict__.get(\"DataMateSearchTool\")\n    nexent_agent.__dict__[\"DataMateSearchTool\"] = mock_datamate_tool_class\n\n    try:\n        result = nexent_agent_instance.create_local_tool(tool_config)\n    finally:\n        # Restore original value\n        if original_value is not None:\n            nexent_agent.__dict__[\"DataMateSearchTool\"] = original_value\n        elif \"DataMateSearchTool\" in nexent_agent.__dict__:\n            del nexent_agent.__dict__[\"DataMateSearchTool\"]\n\n    # Verify tool was created with all params\n    mock_datamate_tool_class.assert_called_once_with(\n        top_k=5, server_ip=\"127.0.0.1\", server_port=8080\n    )\n    # Verify excluded parameters were set directly as attributes with None defaults when metadata is missing\n    assert result == mock_datamate_tool_instance\n    assert mock_datamate_tool_instance.observer == nexent_agent_instance.observer\n\n\nif __name__ == \"__main__\":\n    pytest.main([__file__])\n"
  },
  {
    "path": "test/sdk/core/agents/test_run_agent.py",
    "content": "import pytest\nimport importlib\nfrom types import ModuleType\nfrom unittest.mock import MagicMock, patch\nfrom threading import Event\n\n# ---------------------------------------------------------------------------\n# Prepare mocks for external dependencies that are not required for this test\n# ---------------------------------------------------------------------------\n\n# Create a real module object for smolagents so that submodule imports (e.g. smolagents.agents)\n# succeed during the import machinery that expects the parent module to be a *package*.\nmock_smolagents = ModuleType(\"smolagents\")\nmock_smolagents.__dict__.update({})  # ensure we can set attrs dynamically\n# Mark as package so that importlib can load submodules like smolagents.agents\nmock_smolagents.__path__ = []\n\n# Mock Tool and smolagents.tools sub-module\nmock_smolagents_tool_cls = MagicMock(name=\"Tool\")\nmock_smolagents_tools_mod = ModuleType(\"smolagents.tools\")\nmock_smolagents_tools_mod.Tool = mock_smolagents_tool_cls\n\n# Attach tools sub-module to the parent module and to sys.modules via module_mocks later\nsetattr(mock_smolagents, \"tools\", mock_smolagents_tools_mod)\n\n# Provide a dummy ToolCollection with a classmethod from_mcp that works as a\n# context manager. The context manager returns the ToolCollection instance\n# itself on __enter__ so it can be inspected from tests.\nclass _MockToolCollection(MagicMock):\n    @classmethod\n    def from_mcp(cls, *args, **kwargs):  # pylint: disable=unused-argument\n        instance = cls()\n        # Make the instance a context manager\n        instance.__enter__ = MagicMock(return_value=instance)\n        instance.__exit__ = MagicMock(return_value=None)\n        return instance\n\nsetattr(mock_smolagents, \"ToolCollection\", _MockToolCollection)\n\n# Create dummy smolagents sub-modules to satisfy indirect imports\nfor _sub in [\n    \"agents\",\n    \"memory\",\n    \"models\",\n    \"monitoring\",\n    \"utils\",\n    \"local_python_executor\",\n]:\n    sub_mod = ModuleType(f\"smolagents.{_sub}\")\n    # Populate required attributes with MagicMocks to satisfy import-time `from smolagents.<sub> import ...`.\n    if _sub == \"agents\":\n        for _name in [\"CodeAgent\", \"populate_template\", \"handle_agent_output_types\", \"AgentError\", \"AgentType\", \"ActionOutput\", \"RunResult\"]:\n            setattr(sub_mod, _name, MagicMock(name=f\"smolagents.agents.{_name}\"))\n    elif _sub == \"local_python_executor\":\n        setattr(sub_mod, \"fix_final_answer_code\", MagicMock(name=\"fix_final_answer_code\"))\n    elif _sub == \"memory\":\n        for _name in [\"ActionStep\", \"ToolCall\", \"TaskStep\", \"SystemPromptStep\", \"PlanningStep\", \"FinalAnswerStep\"]:\n            setattr(sub_mod, _name, MagicMock(name=f\"smolagents.memory.{_name}\"))\n    elif _sub == \"models\":\n        setattr(sub_mod, \"ChatMessage\", MagicMock(name=\"smolagents.models.ChatMessage\"))\n        setattr(sub_mod, \"MessageRole\", MagicMock(name=\"smolagents.models.MessageRole\"))\n        setattr(sub_mod, \"CODEAGENT_RESPONSE_FORMAT\", MagicMock(name=\"smolagents.models.CODEAGENT_RESPONSE_FORMAT\"))\n        # Provide a simple base class so that OpenAIModel can inherit from it\n        class _DummyOpenAIServerModel:\n            def __init__(self, *args, **kwargs):\n                pass\n\n        setattr(sub_mod, \"OpenAIServerModel\", _DummyOpenAIServerModel)\n    elif _sub == \"monitoring\":\n        setattr(sub_mod, \"LogLevel\", MagicMock(name=\"smolagents.monitoring.LogLevel\"))\n        setattr(sub_mod, \"Timing\", MagicMock(name=\"smolagents.monitoring.Timing\"))\n        setattr(sub_mod, \"YELLOW_HEX\", MagicMock(name=\"smolagents.monitoring.YELLOW_HEX\"))\n        setattr(sub_mod, \"TokenUsage\", MagicMock(name=\"smolagents.monitoring.TokenUsage\"))\n    elif _sub == \"utils\":\n        for _name in [\n            \"AgentExecutionError\",\n            \"AgentGenerationError\",\n            \"AgentParsingError\",\n            \"AgentMaxStepsError\",\n            \"parse_code_blobs\",\n            \"truncate_content\",\n            \"extract_code_from_text\",\n        ]:\n            setattr(sub_mod, _name, MagicMock(name=f\"smolagents.utils.{_name}\"))\n    setattr(mock_smolagents, _sub, sub_mod)\n    # Will be added to module_mocks below\n\n# Top-level exports expected directly from `smolagents` by nexent_agent.py\nfor _name in [\"ActionStep\", \"TaskStep\", \"AgentText\", \"handle_agent_output_types\"]:\n    setattr(mock_smolagents, _name, MagicMock(name=f\"smolagents.{_name}\"))\n# Export Timing from monitoring submodule to top-level\nsetattr(mock_smolagents, \"Timing\", mock_smolagents.monitoring.Timing)\n# Also export Tool at top-level so that `from smolagents import Tool` works\nsetattr(mock_smolagents, \"Tool\", mock_smolagents_tool_cls)\n\n# Mock langchain_core.tools.BaseTool\nmock_langchain_core_tools_mod = MagicMock(name=\"langchain_core.tools\")\nmock_langchain_core_tools_mod.BaseTool = MagicMock(name=\"BaseTool\")\nmock_langchain_core_mod = MagicMock(name=\"langchain_core\")\nmock_langchain_core_mod.tools = mock_langchain_core_tools_mod\n\n# Re-use mocks from test_nexent_agent for langchain and openai to avoid real imports\nmock_langchain_tools = MagicMock()\nmock_langchain_tools.StructuredTool = MagicMock()\nmock_langchain = MagicMock()\nmock_langchain.tools = mock_langchain_tools\n\nmock_openai_chat_completion_message = MagicMock()\n\n# Mock memory_service to avoid importing mem0\nmock_memory_service = MagicMock()\nmock_memory_service.add_memory_in_levels = MagicMock()\n\nmodule_mocks = {\n    \"smolagents\": mock_smolagents,\n    \"smolagents.tools\": mock_smolagents_tools_mod,\n    \"smolagents.ToolCollection\": _MockToolCollection,\n    # Add smolagents sub-modules created above to ensure importability\n    **{f\"smolagents.{_sub}\": getattr(mock_smolagents, _sub) for _sub in [\n        \"agents\",\n        \"memory\",\n        \"models\",\n        \"monitoring\",\n        \"utils\",\n        \"local_python_executor\",\n    ]},\n    \"langchain_core\": mock_langchain_core_mod,\n    \"langchain_core.tools\": mock_langchain_core_tools_mod,\n    \"langchain\": mock_langchain,\n    \"langchain.tools\": mock_langchain_tools,\n    # Minimal openai mock needed by other modules\n    \"openai\": MagicMock(),\n    \"openai.types\": MagicMock(),\n    \"openai.types.chat\": MagicMock(),\n    \"openai.types.chat.chat_completion_message\": MagicMock(ChatCompletionMessage=mock_openai_chat_completion_message),\n    \"openai.types.chat.chat_completion_message_param\": MagicMock(),\n    # exa_py is imported by sdk.nexent.core.tools – provide dummy to skip real import\n    \"exa_py\": MagicMock(Exa=MagicMock()),\n    # Mock memory_service to avoid importing mem0\n    \"sdk.nexent.memory.memory_service\": mock_memory_service,\n}\n\n# ---------------------------------------------------------------------------\n# Import modules under test with patched dependencies in place\n# ---------------------------------------------------------------------------\nwith patch.dict(\"sys.modules\", module_mocks):\n    from sdk.nexent.core.utils.observer import MessageObserver, ProcessType  # noqa: E402\n    from sdk.nexent.core.agents.agent_model import (\n        AgentRunInfo,\n        ModelConfig,\n        AgentConfig,\n        ToolConfig,\n    )  # noqa: E402\n    import sdk.nexent.core.agents.run_agent as run_agent  # noqa: E402\n\n# ---------------------------------------------------------------------------\n# Fixtures\n# ---------------------------------------------------------------------------\n\n\n@pytest.fixture\ndef mock_observer():\n    \"\"\"Return a mocked MessageObserver instance.\"\"\"\n    observer = MagicMock(spec=MessageObserver)\n    observer.lang = \"en\"\n    return observer\n\n\n@pytest.fixture\ndef mock_memory_context():\n    \"\"\"Return a mocked MemoryContext instance for tests.\"\"\"\n    mock_user_config = MagicMock()\n    mock_user_config.memory_switch = False  # Disable memory by default for tests\n    mock_user_config.agent_share_option = \"always\"\n    mock_user_config.disable_agent_ids = []\n    mock_user_config.disable_user_agent_ids = []\n    \n    mock_memory_context = MagicMock()\n    mock_memory_context.user_config = mock_user_config\n    mock_memory_context.memory_config = {}\n    mock_memory_context.tenant_id = \"test_tenant\"\n    mock_memory_context.user_id = \"test_user\"\n    mock_memory_context.agent_id = \"test_agent\"\n    \n    return mock_memory_context\n\n\n@pytest.fixture\ndef basic_agent_run_info(mock_observer):\n    \"\"\"Return a minimal AgentRunInfo instance for tests (without MCP host).\"\"\"\n    model_cfg = ModelConfig(\n        cite_name=\"test_model\",\n        api_key=\"\",\n        model_name=\"model\",\n        url=\"http://example.com\",\n        temperature=0.1,\n        top_p=0.95,\n    )\n\n    agent_cfg = AgentConfig(\n        name=\"agent\",\n        description=\"desc\",\n        prompt_templates={},\n        tools=[],\n        model_name=\"test_model\",\n    )\n\n    return AgentRunInfo(\n        query=\"hello\",\n        model_config_list=[model_cfg],\n        observer=mock_observer,\n        agent_config=agent_cfg,\n        stop_event=Event(),\n    )\n\n\n# ---------------------------------------------------------------------------\n# Tests\n# ---------------------------------------------------------------------------\n\ndef test_agent_run_thread_local_flow(basic_agent_run_info, monkeypatch):\n    \"\"\"Verify local execution path when mcp_host is empty or None.\"\"\"\n    # Patch NexentAgent inside run_agent to a MagicMock instance\n    mock_nexent_instance = MagicMock(name=\"NexentAgentInstance\")\n    monkeypatch.setattr(run_agent, \"NexentAgent\", MagicMock(return_value=mock_nexent_instance))\n\n    # Call the function under test\n    run_agent.agent_run_thread(basic_agent_run_info)\n\n    # NexentAgent should be instantiated with observer, model_config_list, stop_event\n    run_agent.NexentAgent.assert_called_once_with(\n        observer=basic_agent_run_info.observer,\n        model_config_list=basic_agent_run_info.model_config_list,\n        stop_event=basic_agent_run_info.stop_event,\n    )\n\n    # Following methods on the NexentAgent instance should be invoked\n    mock_nexent_instance.create_single_agent.assert_called_once_with(basic_agent_run_info.agent_config)\n    mock_nexent_instance.set_agent.assert_called_once()\n    mock_nexent_instance.add_history_to_agent.assert_called_once_with(basic_agent_run_info.history)\n    mock_nexent_instance.agent_run_with_observer.assert_called_once_with(query=basic_agent_run_info.query, reset=False)\n\n    # Ensure no MCP-specific behaviour occurred\n    basic_agent_run_info.observer.add_message.assert_not_called()\n\n\ndef test_agent_run_thread_mcp_flow(basic_agent_run_info, mock_memory_context, monkeypatch):\n    \"\"\"Verify behaviour when an MCP host list is provided with auto-detected transport.\"\"\"\n    # Give the AgentRunInfo an MCP host list (string format, auto-detect transport)\n    basic_agent_run_info.mcp_host = [\"http://mcp.server/mcp\"]\n\n    # Prepare ToolCollection.from_mcp to return a context manager\n    mock_tool_collection = MagicMock(name=\"ToolCollectionInstance\")\n    mock_context_manager = MagicMock(__enter__=MagicMock(return_value=mock_tool_collection), __exit__=MagicMock(return_value=None))\n    monkeypatch.setattr(run_agent.ToolCollection, \"from_mcp\", MagicMock(return_value=mock_context_manager))\n\n    # Patch NexentAgent\n    mock_nexent_instance = MagicMock(name=\"NexentAgentInstance\")\n    monkeypatch.setattr(run_agent, \"NexentAgent\", MagicMock(return_value=mock_nexent_instance))\n\n    # Execute\n    run_agent.agent_run_thread(basic_agent_run_info)\n\n    # Observer should receive <MCP_START> signal\n    basic_agent_run_info.observer.add_message.assert_any_call(\"\", ProcessType.AGENT_NEW_RUN, \"<MCP_START>\")\n\n    # ToolCollection.from_mcp should be called with the expected client list and trust_remote_code=True\n    expected_client_list = [{\"url\": \"http://mcp.server/mcp\", \"transport\": \"streamable-http\"}]\n    run_agent.ToolCollection.from_mcp.assert_called_once_with(expected_client_list, trust_remote_code=True)\n\n    # NexentAgent should be instantiated with mcp_tool_collection\n    run_agent.NexentAgent.assert_called_once_with(\n        observer=basic_agent_run_info.observer,\n        model_config_list=basic_agent_run_info.model_config_list,\n        stop_event=basic_agent_run_info.stop_event,\n        mcp_tool_collection=mock_tool_collection,\n    )\n\n    # Subsequent calls on NexentAgent instance should mirror the local flow\n    mock_nexent_instance.create_single_agent.assert_called_once_with(basic_agent_run_info.agent_config)\n    mock_nexent_instance.set_agent.assert_called_once()\n    mock_nexent_instance.add_history_to_agent.assert_called_once_with(basic_agent_run_info.history)\n    mock_nexent_instance.agent_run_with_observer.assert_called_once_with(query=basic_agent_run_info.query, reset=False)\n\n\ndef test_agent_run_thread_mcp_flow_with_explicit_transport(basic_agent_run_info, mock_memory_context, monkeypatch):\n    \"\"\"Verify behaviour when MCP host is provided with explicit transport in dict format.\"\"\"\n    # Give the AgentRunInfo an MCP host list with explicit transport\n    basic_agent_run_info.mcp_host = [{\"url\": \"http://mcp.server\", \"transport\": \"sse\"}]\n\n    # Prepare ToolCollection.from_mcp to return a context manager\n    mock_tool_collection = MagicMock(name=\"ToolCollectionInstance\")\n    mock_context_manager = MagicMock(__enter__=MagicMock(return_value=mock_tool_collection), __exit__=MagicMock(return_value=None))\n    monkeypatch.setattr(run_agent.ToolCollection, \"from_mcp\", MagicMock(return_value=mock_context_manager))\n\n    # Patch NexentAgent\n    mock_nexent_instance = MagicMock(name=\"NexentAgentInstance\")\n    monkeypatch.setattr(run_agent, \"NexentAgent\", MagicMock(return_value=mock_nexent_instance))\n\n    # Execute\n    run_agent.agent_run_thread(basic_agent_run_info)\n\n    # ToolCollection.from_mcp should be called with the expected client list\n    expected_client_list = [{\"url\": \"http://mcp.server\", \"transport\": \"sse\"}]\n    run_agent.ToolCollection.from_mcp.assert_called_once_with(expected_client_list, trust_remote_code=True)\n\n\ndef test_agent_run_thread_mcp_flow_mixed_formats(basic_agent_run_info, mock_memory_context, monkeypatch):\n    \"\"\"Verify behaviour when MCP host list contains both string and dict formats.\"\"\"\n    # Mix of string (auto-detect) and dict (explicit) formats\n    basic_agent_run_info.mcp_host = [\n        \"http://mcp1.server/mcp\",  # Auto-detect: streamable-http\n        \"http://mcp2.server/sse\",  # Auto-detect: sse\n        {\"url\": \"http://mcp3.server/mcp\", \"transport\": \"streamable-http\"},  # Explicit: streamable-http\n    ]\n\n    # Prepare ToolCollection.from_mcp to return a context manager\n    mock_tool_collection = MagicMock(name=\"ToolCollectionInstance\")\n    mock_context_manager = MagicMock(__enter__=MagicMock(return_value=mock_tool_collection), __exit__=MagicMock(return_value=None))\n    monkeypatch.setattr(run_agent.ToolCollection, \"from_mcp\", MagicMock(return_value=mock_context_manager))\n\n    # Patch NexentAgent\n    mock_nexent_instance = MagicMock(name=\"NexentAgentInstance\")\n    monkeypatch.setattr(run_agent, \"NexentAgent\", MagicMock(return_value=mock_nexent_instance))\n\n    # Execute\n    run_agent.agent_run_thread(basic_agent_run_info)\n\n    # ToolCollection.from_mcp should be called with normalized client list\n    expected_client_list = [\n        {\"url\": \"http://mcp1.server/mcp\", \"transport\": \"streamable-http\"},\n        {\"url\": \"http://mcp2.server/sse\", \"transport\": \"sse\"},\n        {\"url\": \"http://mcp3.server/mcp\", \"transport\": \"streamable-http\"},\n    ]\n    run_agent.ToolCollection.from_mcp.assert_called_once_with(expected_client_list, trust_remote_code=True)\n\n\ndef test_detect_transport():\n    \"\"\"Test transport auto-detection logic based on URL ending.\"\"\"\n    # Test URLs ending with /sse\n    assert run_agent._detect_transport(\"http://server/sse\") == \"sse\"\n    assert run_agent._detect_transport(\"https://api.example.com/sse\") == \"sse\"\n    assert run_agent._detect_transport(\"http://localhost:3000/sse\") == \"sse\"\n    \n    # Test URLs ending with /mcp\n    assert run_agent._detect_transport(\"http://server/mcp\") == \"streamable-http\"\n    assert run_agent._detect_transport(\"https://api.example.com/mcp\") == \"streamable-http\"\n    assert run_agent._detect_transport(\"http://localhost:3000/mcp\") == \"streamable-http\"\n    \n    # Test default fallback (no /sse or /mcp ending)\n    assert run_agent._detect_transport(\"http://server\") == \"streamable-http\"\n    assert run_agent._detect_transport(\"https://api.example.com\") == \"streamable-http\"\n    assert run_agent._detect_transport(\"http://server/other\") == \"streamable-http\"\n    \n    # Test URLs with whitespace (should be stripped)\n    assert run_agent._detect_transport(\"  http://server/sse  \") == \"sse\"\n    assert run_agent._detect_transport(\"\\thttp://server/mcp\\n\") == \"streamable-http\"\n    assert run_agent._detect_transport(\"  http://server  \") == \"streamable-http\"\n\n\ndef test_normalize_mcp_config():\n    \"\"\"Test MCP configuration normalization.\"\"\"\n    # Test string format (auto-detect based on URL ending)\n    result = run_agent._normalize_mcp_config(\"http://server/mcp\")\n    assert result == {\"url\": \"http://server/mcp\", \"transport\": \"streamable-http\"}\n    \n    result = run_agent._normalize_mcp_config(\"http://server/sse\")\n    assert result == {\"url\": \"http://server/sse\", \"transport\": \"sse\"}\n    \n    # Test string format without /sse or /mcp ending (defaults to streamable-http)\n    result = run_agent._normalize_mcp_config(\"http://server\")\n    assert result == {\"url\": \"http://server\", \"transport\": \"streamable-http\"}\n    \n    # Test string format with whitespace (should be preserved in url, but transport detection strips)\n    result = run_agent._normalize_mcp_config(\"  http://server/sse  \")\n    assert result == {\"url\": \"  http://server/sse  \", \"transport\": \"sse\"}\n    \n    # Test dict format with explicit transport\n    result = run_agent._normalize_mcp_config({\"url\": \"http://server/mcp\", \"transport\": \"sse\"})\n    assert result == {\"url\": \"http://server/mcp\", \"transport\": \"sse\"}\n    \n    # Test dict format without transport (auto-detect)\n    result = run_agent._normalize_mcp_config({\"url\": \"http://server/sse\"})\n    assert result == {\"url\": \"http://server/sse\", \"transport\": \"sse\"}\n    \n    result = run_agent._normalize_mcp_config({\"url\": \"http://server/mcp\"})\n    assert result == {\"url\": \"http://server/mcp\", \"transport\": \"streamable-http\"}\n    \n    # Test dict format with empty string transport (should auto-detect)\n    result = run_agent._normalize_mcp_config({\"url\": \"http://server/sse\", \"transport\": \"\"})\n    assert result == {\"url\": \"http://server/sse\", \"transport\": \"sse\"}\n    \n    # Test dict format with None transport (should auto-detect)\n    result = run_agent._normalize_mcp_config({\"url\": \"http://server/mcp\", \"transport\": None})\n    assert result == {\"url\": \"http://server/mcp\", \"transport\": \"streamable-http\"}\n    \n    # Test dict format with only authorization\n    result = run_agent._normalize_mcp_config({\n        \"url\": \"http://server/mcp\",\n        \"authorization\": \"Bearer token123\"\n    })\n    assert result == {\n        \"url\": \"http://server/mcp\",\n        \"transport\": \"streamable-http\",\n        \"headers\": {\"Authorization\": \"Bearer token123\"}\n    }\n    \n    # Test dict format with only headers\n    result = run_agent._normalize_mcp_config({\n        \"url\": \"http://server/sse\",\n        \"headers\": {\"Custom-Header\": \"value\"}\n    })\n    assert result == {\n        \"url\": \"http://server/sse\",\n        \"transport\": \"sse\",\n        \"headers\": {\"Custom-Header\": \"value\"}\n    }\n    \n    # Test dict format with both authorization and headers (authorization should override/merge)\n    result = run_agent._normalize_mcp_config({\n        \"url\": \"http://server/mcp\",\n        \"authorization\": \"Bearer token456\",\n        \"headers\": {\"Custom-Header\": \"value\", \"Other-Header\": \"other\"}\n    })\n    assert result == {\n        \"url\": \"http://server/mcp\",\n        \"transport\": \"streamable-http\",\n        \"headers\": {\n            \"Custom-Header\": \"value\",\n            \"Other-Header\": \"other\",\n            \"Authorization\": \"Bearer token456\"\n        }\n    }\n    \n    # Test dict format with headers that is not a dict (should be handled gracefully)\n    result = run_agent._normalize_mcp_config({\n        \"url\": \"http://server/mcp\",\n        \"authorization\": \"Bearer token789\",\n        \"headers\": \"not-a-dict\"  # Not a dict, will be replaced with empty dict\n    })\n    # When headers is not a dict, it will be replaced with empty dict and then Authorization added\n    assert result == {\n        \"url\": \"http://server/mcp\",\n        \"transport\": \"streamable-http\",\n        \"headers\": {\"Authorization\": \"Bearer token789\"}\n    }\n    \n    # Test dict format with headers as list (not a dict)\n    result = run_agent._normalize_mcp_config({\n        \"url\": \"http://server/mcp\",\n        \"authorization\": \"Bearer token999\",\n        \"headers\": [\"item1\", \"item2\"]  # Not a dict, will be replaced with empty dict\n    })\n    assert result == {\n        \"url\": \"http://server/mcp\",\n        \"transport\": \"streamable-http\",\n        \"headers\": {\"Authorization\": \"Bearer token999\"}\n    }\n    \n    # Test dict format with empty url string\n    with pytest.raises(ValueError, match=\"must contain 'url' key\"):\n        run_agent._normalize_mcp_config({\"url\": \"\"})\n    \n    # Test dict format with None url\n    with pytest.raises(ValueError, match=\"must contain 'url' key\"):\n        run_agent._normalize_mcp_config({\"url\": None})\n    \n    # Test invalid dict (missing url)\n    with pytest.raises(ValueError, match=\"must contain 'url' key\"):\n        run_agent._normalize_mcp_config({\"transport\": \"sse\"})\n    \n    # Test invalid transport type\n    with pytest.raises(ValueError, match=\"Invalid transport type\"):\n        run_agent._normalize_mcp_config({\"url\": \"http://server/mcp\", \"transport\": \"stdio\"})\n    \n    with pytest.raises(ValueError, match=\"Invalid transport type\"):\n        run_agent._normalize_mcp_config({\"url\": \"http://server/mcp\", \"transport\": \"invalid\"})\n    \n    # Test invalid type\n    with pytest.raises(ValueError, match=\"Invalid MCP host item type\"):\n        run_agent._normalize_mcp_config(123)\n    \n    with pytest.raises(ValueError, match=\"Invalid MCP host item type\"):\n        run_agent._normalize_mcp_config([])\n    \n    with pytest.raises(ValueError, match=\"Invalid MCP host item type\"):\n        run_agent._normalize_mcp_config(None)\n\n\ndef test_agent_run_thread_handles_internal_exception(basic_agent_run_info, mock_memory_context, monkeypatch):\n    \"\"\"If an internal error occurs, the observer should be notified and a ValueError propagated.\"\"\"\n    # Configure NexentAgent.create_single_agent to raise an exception\n    failing_nexent_instance = MagicMock(name=\"NexentAgentInstance\")\n    failing_nexent_instance.create_single_agent.side_effect = Exception(\"Boom\")\n\n    monkeypatch.setattr(run_agent, \"NexentAgent\", MagicMock(return_value=failing_nexent_instance))\n\n    # Execute and expect ValueError\n    with pytest.raises(ValueError) as exc_info:\n        run_agent.agent_run_thread(basic_agent_run_info)\n\n    # Observer should have been informed of the failure via FINAL_ANSWER\n    basic_agent_run_info.observer.add_message.assert_called_with(\"\", ProcessType.FINAL_ANSWER, \"Run Agent Error: Boom\")\n\n    # Ensure the raised error contains our message to confirm correct propagation\n    assert \"Error in agent_run_thread: Boom\" in str(exc_info.value)\n\n\n@pytest.mark.asyncio\nasync def test_agent_run_streams_messages_while_thread_alive(basic_agent_run_info, monkeypatch):\n    \"\"\"agent_run should yield messages while the thread is alive, then final cache.\"\"\"\n    # Arrange observer cached messages: one streaming batch, then final flush\n    basic_agent_run_info.observer.get_cached_message.side_effect = [\n        [\"m1\", \"m2\"],  # during loop\n        [\"final1\", \"final2\"],  # after loop\n    ]\n\n    # Fast asyncio.sleep to avoid delays and to assert both sleeps are awaited\n    sleep_calls = []\n\n    async def fast_sleep(duration):  # pylint: disable=unused-argument\n        sleep_calls.append(duration)\n\n    monkeypatch.setattr(run_agent.asyncio, \"sleep\", fast_sleep)\n\n    # Fake Thread that is alive once, then stops\n    class FakeThread:\n        def __init__(self, target=None, args=None):  # pylint: disable=unused-argument\n            self._alive_checks = 0\n            self.started = False\n\n        def start(self):\n            self.started = True\n\n        def is_alive(self):\n            self._alive_checks += 1\n            return self._alive_checks == 1\n\n    monkeypatch.setattr(run_agent, \"Thread\", FakeThread)\n\n    # Act\n    received = []\n    async for item in run_agent.agent_run(basic_agent_run_info):\n        received.append(item)\n\n    # Assert: streamed + final messages\n    assert received == [\"m1\", \"m2\", \"final1\", \"final2\"]\n    # Ensure thread was started and sleeps were awaited (both inner and outer occur)\n    assert any(d in (0.05, 0.1) for d in sleep_calls)\n\n\n@pytest.mark.asyncio\nasync def test_agent_run_skips_loop_when_thread_not_alive(basic_agent_run_info, monkeypatch):\n    \"\"\"If the thread is not alive initially, only the final cache is yielded.\"\"\"\n    # Only final cache should be yielded\n    basic_agent_run_info.observer.get_cached_message.side_effect = [\n        [\"final_only\"],\n    ]\n\n    async def fast_sleep(duration):  # pylint: disable=unused-argument\n        return None\n\n    monkeypatch.setattr(run_agent.asyncio, \"sleep\", fast_sleep)\n\n    class FakeThread:\n        def __init__(self, target=None, args=None):  # pylint: disable=unused-argument\n            pass\n\n        def start(self):\n            pass\n\n        def is_alive(self):\n            return False\n\n    monkeypatch.setattr(run_agent, \"Thread\", FakeThread)\n\n    received = []\n    async for item in run_agent.agent_run(basic_agent_run_info):\n        received.append(item)\n\n    assert received == [\"final_only\"]\n"
  },
  {
    "path": "test/sdk/core/models/test_embedding_model.py",
    "content": "import pytest\nimport requests\nimport importlib.util\nimport sys\nfrom pathlib import Path\nfrom unittest.mock import AsyncMock, Mock, patch\n\n# Dynamically load the module directly by file path to avoid importing sdk/nexent/__init__\nMODULE_NAME = \"embedding_model_under_test\"\nMODULE_PATH = (\n    Path(__file__).resolve().parents[4]\n    / \"sdk\"\n    / \"nexent\"\n    / \"core\"\n    / \"models\"\n    / \"embedding_model.py\"\n)\nspec = importlib.util.spec_from_file_location(MODULE_NAME, MODULE_PATH)\nembedding_model_module = importlib.util.module_from_spec(spec)\nsys.modules[MODULE_NAME] = embedding_model_module\nassert spec and spec.loader\nspec.loader.exec_module(embedding_model_module)\n\nOpenAICompatibleEmbedding = embedding_model_module.OpenAICompatibleEmbedding\nJinaEmbedding = embedding_model_module.JinaEmbedding\n\nclass DummyResponse:\n    def __init__(self, status_code=200, json_data=None):\n        self.status_code = status_code\n        self._json = json_data or {\"data\": []}\n\n    def raise_for_status(self):\n        if not (200 <= self.status_code < 300):\n            raise requests.HTTPError(f\"Status {self.status_code}\")\n\n    def json(self):\n        return self._json\n\n# ---------------------------------------------------------------------------\n# Fixtures\n# ---------------------------------------------------------------------------\n\n\n@pytest.fixture()\ndef openai_embedding_instance():\n    \"\"\"Return an OpenAICompatibleEmbedding instance with minimal viable attributes for tests.\"\"\"\n\n    return OpenAICompatibleEmbedding(\n        model_name=\"dummy-model\",\n        base_url=\"https://api.example.com\",\n        api_key=\"dummy-key\",\n        embedding_dim=1536,\n        ssl_verify=True,\n    )\n\n\n@pytest.fixture()\ndef jina_embedding_instance():\n    \"\"\"Return a JinaEmbedding instance with minimal viable attributes for tests.\"\"\"\n\n    return JinaEmbedding(api_key=\"dummy-key\", ssl_verify=True)\n\n\n# ---------------------------------------------------------------------------\n# Tests for dimension_check\n# ---------------------------------------------------------------------------\n\n\n@pytest.mark.asyncio\nasync def test_dimension_check_success(openai_embedding_instance):\n    \"\"\"dimension_check should return embeddings when no exception is raised.\"\"\"\n\n    expected_embeddings = [[0.1, 0.2, 0.3]]\n\n    with patch(\n        \"embedding_model_under_test.asyncio.to_thread\",\n        new_callable=AsyncMock,\n        return_value=expected_embeddings,\n    ) as mock_to_thread:\n        result = await openai_embedding_instance.dimension_check()\n\n        assert result == expected_embeddings\n        mock_to_thread.assert_awaited_once()\n\n\n@pytest.mark.asyncio\nasync def test_dimension_check_failure(openai_embedding_instance):\n    \"\"\"dimension_check should return an empty list when an exception is raised inside to_thread.\"\"\"\n\n    with patch(\n        \"embedding_model_under_test.asyncio.to_thread\",\n        new_callable=AsyncMock,\n        side_effect=Exception(\"connection error\"),\n    ) as mock_to_thread:\n        result = await openai_embedding_instance.dimension_check()\n\n        assert result == []\n        mock_to_thread.assert_awaited_once()\n\n\n# ---------------------------------------------------------------------------\n# Tests for JinaEmbedding.dimension_check\n# ---------------------------------------------------------------------------\n\n\n@pytest.mark.asyncio\nasync def test_jina_dimension_check_success(jina_embedding_instance):\n    \"\"\"dimension_check should return embeddings when no exception is raised.\"\"\"\n\n    expected_embeddings = [[0.5, 0.4, 0.3]]\n\n    with patch(\n        \"embedding_model_under_test.asyncio.to_thread\",\n        new_callable=AsyncMock,\n        return_value=expected_embeddings,\n    ) as mock_to_thread:\n        result = await jina_embedding_instance.dimension_check()\n\n        assert result == expected_embeddings\n        mock_to_thread.assert_awaited_once()\n\n\n@pytest.mark.asyncio\nasync def test_jina_dimension_check_failure(jina_embedding_instance):\n    \"\"\"dimension_check should return an empty list when an exception is raised inside to_thread.\"\"\"\n\n    with patch(\n        \"embedding_model_under_test.asyncio.to_thread\",\n        new_callable=AsyncMock,\n        side_effect=Exception(\"connection error\"),\n    ) as mock_to_thread:\n        result = await jina_embedding_instance.dimension_check()\n\n        assert result == []\n        mock_to_thread.assert_awaited_once()\n\n\n# ---------------------------------------------------------------------------\n# Tests for OpenAICompatibleEmbedding.get_embeddings (retry, metadata, etc.)\n# ---------------------------------------------------------------------------\n\n\ndef test_openai_get_embeddings_success_returns_list(openai_embedding_instance):\n    \"\"\"Should return list of embeddings when with_metadata is False.\"\"\"\n\n    fake_response = {\"data\": [{\"embedding\": [0.9, 0.8]}]}\n\n    with patch(\n        \"embedding_model_under_test.OpenAICompatibleEmbedding._make_request\",\n        return_value=fake_response,\n    ) as mock_make_request:\n        result = openai_embedding_instance.get_embeddings(\n            [\"hello\"], with_metadata=False, timeout=3\n        )\n\n        assert result == [[0.9, 0.8]]\n        mock_make_request.assert_called_once()\n\n\ndef test_openai_get_embeddings_with_metadata(openai_embedding_instance):\n    \"\"\"Should return full response when with_metadata is True.\"\"\"\n\n    fake_response = {\n        \"data\": [{\"embedding\": [1, 2, 3]}], \"meta\": {\"foo\": \"bar\"}}\n\n    with patch(\n        \"embedding_model_under_test.OpenAICompatibleEmbedding._make_request\",\n        return_value=fake_response,\n    ) as mock_make_request:\n        result = openai_embedding_instance.get_embeddings(\n            [\"x\"], with_metadata=True, timeout=1\n        )\n\n        assert result == fake_response\n        mock_make_request.assert_called_once()\n\n\ndef test_openai_get_embeddings_timeout_retry_succeeds(openai_embedding_instance):\n    \"\"\"First call times out, second succeeds; timeouts increase linearly.\"\"\"\n\n    fake_response = {\"data\": [{\"embedding\": [0.1, 0.2]}]}\n\n    def side_effect(data, timeout=None):\n        # First attempt -> timeout, second attempt -> success\n        calls = side_effect.calls\n        side_effect.calls += 1\n        if calls == 0:\n            raise requests.exceptions.Timeout()\n        return fake_response\n\n    side_effect.calls = 0\n\n    with patch(\n        \"embedding_model_under_test.OpenAICompatibleEmbedding._make_request\",\n        side_effect=side_effect,\n    ) as mock_make_request:\n        result = openai_embedding_instance.get_embeddings(\n            [\"a\"], with_metadata=False, timeout=None, retries=2, retry_timeout_step=2\n        )\n\n        assert result == [[0.1, 0.2]]\n\n        # Verify linear timeouts: 2 (first), 4 (second)\n        timeouts = [\n            call.kwargs.get(\"timeout\") for call in mock_make_request.call_args_list\n        ]\n        assert timeouts == [2, 4]\n\n\ndef test_openai_get_embeddings_timeout_exhausts_raises(openai_embedding_instance):\n    \"\"\"Should raise Timeout after exhausting retries.\"\"\"\n\n    with patch(\n        \"embedding_model_under_test.OpenAICompatibleEmbedding._make_request\",\n        side_effect=requests.exceptions.Timeout(),\n    ) as mock_make_request:\n        with pytest.raises(requests.exceptions.Timeout):\n            openai_embedding_instance.get_embeddings(\n                [\"a\"],\n                with_metadata=False,\n                timeout=None,\n                retries=2,\n                retry_timeout_step=1,\n            )\n\n        # Called attempts = retries + 1 = 3; timeouts 1, 2, 3\n        timeouts = [\n            call.kwargs.get(\"timeout\") for call in mock_make_request.call_args_list\n        ]\n        assert timeouts == [1, 2, 3]\n\n\n# ---------------------------------------------------------------------------\n# Tests for JinaEmbedding.get_embeddings delegation and retry\n# ---------------------------------------------------------------------------\n\n\ndef test_jina_get_embeddings_converts_text_and_delegates(jina_embedding_instance):\n    \"\"\"String input should be converted to multimodal and delegated to get_multimodal_embeddings.\"\"\"\n\n    captured_inputs = {}\n\n    def side_effect(inputs, with_metadata=False, timeout=None):\n        captured_inputs[\"inputs\"] = inputs\n        return [[0.3, 0.4]]\n\n    with patch(\n        \"embedding_model_under_test.JinaEmbedding.get_multimodal_embeddings\",\n        side_effect=side_effect,\n    ) as mock_delegate:\n        result = jina_embedding_instance.get_embeddings(\n            \"hello\", with_metadata=False, timeout=5\n        )\n\n        assert result == [[0.3, 0.4]]\n        assert captured_inputs[\"inputs\"] == [{\"text\": \"hello\"}]\n        mock_delegate.assert_called_once()\n\n\ndef test_jina_get_embeddings_timeout_retry_succeeds(jina_embedding_instance):\n    \"\"\"First call times out, second succeeds; timeouts increase linearly.\"\"\"\n\n    def side_effect(inputs, with_metadata=False, timeout=None):\n        calls = side_effect.calls\n        side_effect.calls += 1\n        if calls == 0:\n            raise requests.exceptions.Timeout()\n        return [[1.0, 2.0, 3.0]]\n\n    side_effect.calls = 0\n\n    with patch(\n        \"embedding_model_under_test.JinaEmbedding.get_multimodal_embeddings\",\n        side_effect=side_effect,\n    ) as mock_delegate:\n        result = jina_embedding_instance.get_embeddings(\n            [\"hello\"],\n            with_metadata=False,\n            timeout=None,\n            retries=2,\n            retry_timeout_step=2,\n        )\n\n        assert result == [[1.0, 2.0, 3.0]]\n        # Verify timeouts 2, 4\n        timeouts = [call.kwargs.get(\"timeout\")\n                    for call in mock_delegate.call_args_list]\n        assert timeouts == [2, 4]\n\n\ndef test_jina_get_embeddings_timeout_exhausts_raises(jina_embedding_instance):\n    \"\"\"Should raise Timeout after exhausting retries.\"\"\"\n\n    with patch(\n        \"embedding_model_under_test.JinaEmbedding.get_multimodal_embeddings\",\n        side_effect=requests.exceptions.Timeout(),\n    ) as mock_delegate:\n        with pytest.raises(requests.exceptions.Timeout):\n            jina_embedding_instance.get_embeddings(\n                [\"x\"],\n                with_metadata=False,\n                timeout=None,\n                retries=2,\n                retry_timeout_step=1,\n            )\n\n        # Called 3 times with timeouts 1, 2, 3\n        timeouts = [call.kwargs.get(\"timeout\")\n                    for call in mock_delegate.call_args_list]\n        assert timeouts == [1, 2, 3]\n\n\ndef test_jina_get_multimodal_embeddings_parses_embeddings(jina_embedding_instance):\n    \"\"\"Should parse embeddings from response when with_metadata is False.\"\"\"\n\n    fake_response = {\n        \"data\": [\n            {\"embedding\": [0.11, 0.22]},\n            {\"embedding\": [0.33, 0.44]},\n        ]\n    }\n\n    mock_resp = Mock()\n    mock_resp.raise_for_status = Mock()\n    mock_resp.json = Mock(return_value=fake_response)\n\n    with patch(\n        \"embedding_model_under_test.requests.post\", return_value=mock_resp\n    ) as mock_post:\n        inputs = [{\"text\": \"t1\"}, {\"image\": \"http://x/y.jpg\"}]\n        result = jina_embedding_instance.get_multimodal_embeddings(\n            inputs, with_metadata=False, timeout=3\n        )\n\n        assert result == [[0.11, 0.22], [0.33, 0.44]]\n        mock_post.assert_called_once()\n        # Assert truncate flag is included in request payload\n        call_kwargs = mock_post.call_args.kwargs\n        assert call_kwargs[\"json\"].get(\"truncate\") is True\n\n\ndef test_jina_get_multimodal_embeddings_with_metadata(jina_embedding_instance):\n    \"\"\"Should return full response when with_metadata is True.\"\"\"\n\n    fake_response = {\n        \"data\": [\n            {\"embedding\": [9, 9, 9]},\n        ],\n        \"meta\": {\"m\": 1},\n    }\n\n    mock_resp = Mock()\n    mock_resp.raise_for_status = Mock()\n    mock_resp.json = Mock(return_value=fake_response)\n\n    with patch(\"embedding_model_under_test.requests.post\", return_value=mock_resp) as mock_post:\n        inputs = [{\"text\": \"t\"}]\n        result = jina_embedding_instance.get_multimodal_embeddings(\n            inputs, with_metadata=True, timeout=4\n        )\n        # Validate response and truncate flag usage\n        assert result == fake_response\n        call_kwargs = mock_post.call_args.kwargs\n        assert call_kwargs[\"json\"].get(\"truncate\") is True\n\n\ndef test_jina_get_multimodal_embeddings_timeout_retry_succeeds(jina_embedding_instance):\n    \"\"\"First call times out, second succeeds; timeouts increase linearly.\"\"\"\n\n    fake_response = {\n        \"data\": [\n            {\"embedding\": [0.5, 0.6]},\n        ]\n    }\n\n    captured_jsons = []\n\n    def side_effect(url, headers=None, json=None, timeout=None, **kwargs):\n        calls = side_effect.calls\n        side_effect.calls += 1\n        if calls == 0:\n            raise requests.exceptions.Timeout()\n        captured_jsons.append(json)\n        mock_resp = Mock()\n        mock_resp.raise_for_status = Mock()\n        mock_resp.json = Mock(return_value=fake_response)\n        return mock_resp\n\n    side_effect.calls = 0\n\n    with patch(\n        \"embedding_model_under_test.requests.post\", side_effect=side_effect\n    ) as mock_post:\n        inputs = [{\"text\": \"t\"}]\n        result = jina_embedding_instance.get_multimodal_embeddings(\n            inputs, with_metadata=False, timeout=None, retries=2, retry_timeout_step=2\n        )\n\n        assert result == [[0.5, 0.6]]\n        timeouts = [call.kwargs.get(\"timeout\")\n                    for call in mock_post.call_args_list]\n        assert timeouts == [2, 4]\n        # Ensure truncate flag present in at least one request body\n        assert any(j.get(\"truncate\") is True for j in captured_jsons)\n\n\ndef test_jina_get_multimodal_embeddings_timeout_exhausts_raises(\n    jina_embedding_instance,\n):\n    \"\"\"Should raise Timeout after exhausting retries.\"\"\"\n\n    with patch(\n        \"embedding_model_under_test.requests.post\",\n        side_effect=requests.exceptions.Timeout(),\n    ) as mock_post:\n        with pytest.raises(requests.exceptions.Timeout):\n            jina_embedding_instance.get_multimodal_embeddings(\n                [{\"text\": \"t\"}],\n                with_metadata=False,\n                timeout=None,\n                retries=2,\n                retry_timeout_step=1,\n            )\n\n        timeouts = [call.kwargs.get(\"timeout\")\n                    for call in mock_post.call_args_list]\n        assert timeouts == [1, 2, 3]\n\n\n# ---------------------------------------------------------------------------\n# Additional coverage for tail-return and ConnectionError branches\n# ---------------------------------------------------------------------------\n\n\ndef test_jina_get_embeddings_returns_empty_when_attempts_skipped(jina_embedding_instance):\n    \"\"\"When retries < 0, loop is skipped and returns [].\"\"\"\n\n    result = jina_embedding_instance.get_embeddings(\n        \"x\", with_metadata=False, timeout=None, retries=-1\n    )\n\n    assert result == []\n\n\ndef test_jina_get_multimodal_embeddings_returns_empty_when_attempts_skipped(jina_embedding_instance):\n    \"\"\"When retries < 0, loop is skipped and returns [].\"\"\"\n\n    result = jina_embedding_instance.get_multimodal_embeddings(\n        [{\"text\": \"x\"}], with_metadata=False, timeout=None, retries=-1\n    )\n\n    assert result == []\n\n\n@pytest.mark.asyncio\nasync def test_jina_dimension_check_connection_error_returns_empty(jina_embedding_instance):\n    \"\"\"dimension_check should return [] on ConnectionError.\"\"\"\n\n    with patch(\n        \"embedding_model_under_test.asyncio.to_thread\",\n        new_callable=AsyncMock,\n        side_effect=requests.exceptions.ConnectionError(),\n    ):\n        result = await jina_embedding_instance.dimension_check()\n\n        assert result == []\n\n\ndef test_openai_get_embeddings_string_prepares_input_list(openai_embedding_instance):\n    \"\"\"String input should be wrapped into a one-element list in request payload.\"\"\"\n\n    captured = {}\n\n    def side_effect(data, timeout=None):\n        captured[\"input\"] = data[\"input\"]\n        return {\"data\": [{\"embedding\": [0.21, 0.22]}]}\n\n    with patch(\n        \"embedding_model_under_test.OpenAICompatibleEmbedding._make_request\",\n        side_effect=side_effect,\n    ) as mock_make_request:\n        result = openai_embedding_instance.get_embeddings(\n            \"hello-openai\", with_metadata=False, timeout=3\n        )\n\n        assert captured[\"input\"] == [\"hello-openai\"]\n        assert result == [[0.21, 0.22]]\n        mock_make_request.assert_called_once()\n\n\ndef test_openai_make_request_invokes_requests_post(openai_embedding_instance):\n    \"\"\"Cover OpenAI _make_request by patching requests.post path.\"\"\"\n\n    fake_response = {\"data\": [{\"embedding\": [7, 8]}]}\n\n    mock_resp = Mock()\n    mock_resp.raise_for_status = Mock()\n    mock_resp.json = Mock(return_value=fake_response)\n\n    with patch(\"embedding_model_under_test.requests.post\", return_value=mock_resp) as mock_post:\n        result = openai_embedding_instance.get_embeddings(\n            [\"hi\"], with_metadata=False, timeout=2\n        )\n\n        assert result == [[7, 8]]\n        mock_post.assert_called_once()\n\n\ndef test_openai_get_embeddings_returns_empty_when_attempts_skipped(openai_embedding_instance):\n    \"\"\"When retries < 0, loop is skipped and returns [].\"\"\"\n\n    result = openai_embedding_instance.get_embeddings(\n        [\"x\"], with_metadata=False, timeout=None, retries=-1\n    )\n\n    assert result == []\n\n\n@pytest.mark.asyncio\nasync def test_openai_dimension_check_connection_error_returns_empty(openai_embedding_instance):\n    \"\"\"dimension_check should return [] on ConnectionError.\"\"\"\n\n    with patch(\n        \"embedding_model_under_test.asyncio.to_thread\",\n        new_callable=AsyncMock,\n        side_effect=requests.exceptions.ConnectionError(),\n    ):\n        result = await openai_embedding_instance.dimension_check()\n\n        assert result == []\n\ndef test_api_key_normalization_and_verify_jina(monkeypatch):\n    captured = {}\n\n    def fake_post(url, headers=None, json=None, timeout=None, verify=True):\n        captured['url'] = url\n        captured['headers'] = headers\n        captured['verify'] = verify\n        return DummyResponse()\n\n    monkeypatch.setattr(\"requests.post\", fake_post)\n\n    # api_key containing Bearer prefix should be normalized\n    emb = JinaEmbedding(api_key=\"my-secret\", base_url=\"https://example.com/emb\", ssl_verify=False)\n    data = emb._prepare_multimodal_input([{\"text\": \"hello\"}])\n    resp = emb._make_request(data, timeout=1)\n    assert captured['headers'][\"Authorization\"].startswith(\"Bearer \")\n    # verify should be passed through\n    assert captured['verify'] is False\n\n\ndef test_api_key_normalization_and_verify_openaicompatible(monkeypatch):\n    captured = {}\n\n    def fake_post(url, headers=None, json=None, timeout=None, verify=True):\n        captured['url'] = url\n        captured['headers'] = headers\n        captured['verify'] = verify\n        return DummyResponse()\n\n    monkeypatch.setattr(\"requests.post\", fake_post)\n\n    emb = OpenAICompatibleEmbedding(model_name=\"m\", base_url=\"https://api.example/emb\", api_key=\"KEY\", embedding_dim=16, ssl_verify=True)\n    data = emb._prepare_input(\"hi\")\n    resp = emb._make_request(data, timeout=1)\n    assert captured['headers'][\"Authorization\"].count(\"Bearer\") == 1\n    assert captured['verify'] is True\n\n\ndef test_textembedding_super_init_executes():\n    \"\"\"Create a concrete subclass of TextEmbedding that calls super().__init__\n    to execute the `super().__init__(model_name, base_url, api_key, embedding_dim, ssl_verify=ssl_verify)` line.\n    \"\"\"\n    # Use the dynamically-loaded module alias from earlier in this file\n    TextEmbedding = OpenAICompatibleEmbedding.__mro__[1]  # TextEmbedding class (parent of OpenAICompatibleEmbedding)\n\n    class ConcreteTextEmbedding(TextEmbedding):  # type: ignore[misc]\n        def __init__(self, *args, **kwargs):\n            # This will call TextEmbedding.__init__, which in turn calls BaseEmbedding.__init__\n            super().__init__(*args, **kwargs)\n\n        def get_embeddings(self, *args, **kwargs):\n            return []\n\n        async def dimension_check(self, timeout: float = 5.0):\n            return []\n\n    # Instantiation should succeed and therefore the super().__init__ line was executed\n    inst = ConcreteTextEmbedding(model_name=\"m\", base_url=\"u\", api_key=\"k\", embedding_dim=16, ssl_verify=False)\n    assert inst is not None\n    # Also assert that it's an instance of TextEmbedding for clarity\n    assert isinstance(inst, TextEmbedding)\n\n\ndef test_jina_make_request_raises_http_error(monkeypatch):\n    \"\"\"Ensure _make_request propagates HTTP errors from requests.post\"\"\"\n\n    def fake_post(url, headers=None, json=None, timeout=None, verify=True):\n        class BadResp:\n            status_code = 500\n\n            def raise_for_status(self):\n                raise requests.HTTPError(\"Server error\")\n\n        return BadResp()\n\n    monkeypatch.setattr(\"requests.post\", fake_post)\n\n    emb = JinaEmbedding(api_key=\"k\", base_url=\"https://api.jina.ai/v1/embeddings\", ssl_verify=True)\n    data = emb._prepare_multimodal_input([{\"text\": \"hi\"}])\n    with pytest.raises(requests.HTTPError):\n        emb._make_request(data, timeout=1)\n\n\ndef test_openai_make_request_raises_http_error(monkeypatch):\n    \"\"\"Ensure OpenAICompatibleEmbedding._make_request propagates HTTP errors\"\"\"\n\n    def fake_post(url, headers=None, json=None, timeout=None, verify=True):\n        class BadResp:\n            status_code = 502\n\n            def raise_for_status(self):\n                raise requests.HTTPError(\"Bad Gateway\")\n\n        return BadResp()\n\n    monkeypatch.setattr(\"requests.post\", fake_post)\n\n    emb = OpenAICompatibleEmbedding(model_name=\"m\", base_url=\"https://api.example.com/emb\", api_key=\"k\", embedding_dim=16, ssl_verify=False)\n    data = emb._prepare_input(\"hello\")\n    with pytest.raises(requests.HTTPError):\n        emb._make_request(data, timeout=2)\n\n\ndef test_jina_get_multimodal_embeddings_missing_data_key(monkeypatch):\n    \"\"\"If the response JSON lacks 'data', a KeyError should surface when with_metadata=False\"\"\"\n\n    class RespNoData:\n        def raise_for_status(self):\n            pass\n\n        def json(self):\n            return {\"meta\": {\"ok\": True}}\n\n    monkeypatch.setattr(\"requests.post\", lambda *a, **k: RespNoData())\n\n    emb = JinaEmbedding(api_key=\"k\")\n    with pytest.raises(KeyError):\n        emb.get_multimodal_embeddings([{\"text\": \"t\"}], with_metadata=False, timeout=1)\n"
  },
  {
    "path": "test/sdk/core/models/test_message_utils.py",
    "content": "import sys\nfrom pathlib import Path\n\n# Ensure sdk/ is on sys.path so package imports resolve in the test environment\nsys.path.insert(0, str(Path(__file__).resolve().parents[4] / \"sdk\"))\n\nfrom nexent.core.models.message_utils import _flatten_content, prepare_messages_for_completion\nfrom types import SimpleNamespace\n\n\ndef test_flatten_string_returns_same():\n    assert _flatten_content(\"hello\") == \"hello\"\n\n\ndef test_flatten_none_returns_empty_string():\n    assert _flatten_content(None) == \"\"\n\n\ndef test_flatten_number_returns_str():\n    assert _flatten_content(123) == \"123\"\n\n\ndef test_flatten_list_with_various_items():\n    data = [\"a\", 2, {\"text\": \"b\"}, {\"content\": 3}, {\"other\": \"x\"}]\n    result = _flatten_content(data)\n    # \"a\", \"2\", \"b\", \"3\", and str(dict) for the other dict should all appear concatenated\n    assert result.startswith(\"a2b3\")\n    assert \"other\" in result or \"x\" in result\n\n\ndef test_flatten_list_with_non_dict_items_only():\n    data = [\"x\", \"y\", 7]\n    assert _flatten_content(data) == \"xy7\"\n\n\ndef test_prepare_messages_returns_unchanged_when_no_model_factory():\n    obj = SimpleNamespace(role=\"user\", content=\"hi\")\n    msgs = [obj]\n    out = prepare_messages_for_completion(msgs, None)\n    # Should return the same list object (unchanged)\n    assert out is msgs\n\n\ndef test_prepare_messages_modelengine_with_objects_and_case_insensitive():\n    obj1 = SimpleNamespace(role=\"system\", content=\"SYS\")\n    obj2 = SimpleNamespace(role=\"user\", content=[\"a\", {\"text\": \"b\"}])\n    prepared = prepare_messages_for_completion([obj1, obj2], \"ModelEngine\")\n    assert isinstance(prepared, list)\n    assert all(isinstance(x, dict) for x in prepared)\n    assert prepared[0][\"role\"] == \"system\"\n    assert \"b\" in prepared[1][\"content\"]\n\n\n"
  },
  {
    "path": "test/sdk/core/models/test_openai_llm.py",
    "content": "import sys\nimport types\nimport importlib.util\nfrom pathlib import Path\n# Ensure SDK package is importable by adding sdk/ to sys.path (do not fallback to stubs)\nsys.path.insert(0, str(Path(__file__).resolve().parents[4] / \"sdk\"))\n\n# Ensure minimal `nexent` package structure exists in sys.modules so string-based\n# patch targets like \"nexent.core.models.openai_llm.asyncio.to_thread\" can be\n# resolved by unittest.mock during tests that run outside the temporary patch\n# contexts used below.\n_sdk_root = Path(__file__).resolve().parents[4] / \"sdk\" / \"nexent\"\nif \"nexent\" not in sys.modules:\n    _top_pkg = types.ModuleType(\"nexent\")\n    _top_pkg.__path__ = [str(_sdk_root)]\n    sys.modules[\"nexent\"] = _top_pkg\nif \"nexent.core\" not in sys.modules:\n    _core_pkg = types.ModuleType(\"nexent.core\")\n    _core_pkg.__path__ = [str(_sdk_root / \"core\")]\n    sys.modules[\"nexent.core\"] = _core_pkg\nif \"nexent.core.models\" not in sys.modules:\n    _models_pkg = types.ModuleType(\"nexent.core.models\")\n    _models_pkg.__path__ = [str(_sdk_root / \"core\" / \"models\")]\n    sys.modules[\"nexent.core.models\"] = _models_pkg\n\n# Ensure the package attributes exist on the top-level `nexent` module so that\n# string-based patch targets (e.g. \"nexent.core.models.openai_llm.asyncio.to_thread\")\n# resolve via getattr during unittest.mock's import lookup.\ntry:\n    top_mod = sys.modules.get(\"nexent\")\n    core_mod = sys.modules.get(\"nexent.core\")\n    models_mod = sys.modules.get(\"nexent.core.models\")\n    if top_mod and core_mod and not hasattr(top_mod, \"core\"):\n        setattr(top_mod, \"core\", core_mod)\n    if core_mod and models_mod and not hasattr(core_mod, \"models\"):\n        setattr(core_mod, \"models\", models_mod)\nexcept Exception:\n    # If anything goes wrong, do not fail test import phase; the test will create\n    # the necessary entries later within its patch context.\n    pass\n\n# Ensure the concrete openai_llm submodule is available in sys.modules so that\n# string-based patch targets resolve outside of temporary patch contexts.\ntry:\n    _openai_name = \"nexent.core.models.openai_llm\"\n    _openai_path = Path(__file__).resolve().parents[4] / \"sdk\" / \"nexent\" / \"core\" / \"models\" / \"openai_llm.py\"\n    if _openai_path.exists() and _openai_name not in sys.modules:\n        _spec = importlib.util.spec_from_file_location(_openai_name, _openai_path)\n        _mod = importlib.util.module_from_spec(_spec)\n        sys.modules[_openai_name] = _mod\n        assert _spec and _spec.loader\n        _spec.loader.exec_module(_mod)\n        pkg = sys.modules.get(\"nexent.core.models\")\n        if pkg is not None and not hasattr(pkg, \"openai_llm\"):\n            setattr(pkg, \"openai_llm\", _mod)\nexcept Exception:\n    # Best-effort only; if this fails tests will still attempt to load/open the module later.\n    pass\n\n# Dynamically load the openai_llm module to avoid importing full sdk package\nMODULE_NAME = \"nexent.core.models.openai_llm\"\nMODULE_PATH = (\n    Path(__file__).resolve().parents[4]\n    / \"sdk\"\n    / \"nexent\"\n    / \"core\"\n    / \"models\"\n    / \"openai_llm.py\"\n)\nspec = importlib.util.spec_from_file_location(MODULE_NAME, MODULE_PATH)\nopenai_llm_module = importlib.util.module_from_spec(spec)\nsys.modules[MODULE_NAME] = openai_llm_module\nassert spec and spec.loader\n\ndef _setup_stubs():\n    # Stub openai ChatCompletionMessage\n    chat_mod = types.ModuleType(\"openai.types.chat.chat_completion_message\")\n    class ChatCompletionMessage:\n        def __init__(self, role, content):\n            self.role = role\n            self.content = content\n        def model_dump(self, include=None):\n            return {\"role\": self.role, \"content\": self.content}\n    chat_mod.ChatCompletionMessage = ChatCompletionMessage\n    sys.modules[\"openai.types.chat.chat_completion_message\"] = chat_mod\n\n    # Stub smolagents.models and Tool\n    smol_mod = types.ModuleType(\"smolagents\")\n    smol_models = types.ModuleType(\"smolagents.models\")\n    class ChatMessage:\n        def __init__(self, role=None, content=None, tool_calls=None):\n            self.role = role\n            self.content = content\n        @staticmethod\n        def from_dict(d):\n            return ChatMessage(role=d.get(\"role\"), content=d.get(\"content\"))\n        def __repr__(self):\n            return f\"ChatMessage(role={self.role}, content={self.content})\"\n    smol_models.ChatMessage = ChatMessage\n    mr = types.SimpleNamespace()\n    mr.ASSISTANT = \"assistant\"\n    smol_models.MessageRole = mr\n    smol_mod.models = smol_models\n    smol_mod.Tool = object\n    sys.modules[\"smolagents\"] = smol_mod\n    sys.modules[\"smolagents.models\"] = smol_models\n\n    # Stub OpenAIServerModel base class\n    sa_mod = types.ModuleType(\"smolagents.models\") if \"smolagents.models\" not in sys.modules else sys.modules[\"smolagents.models\"]\n    class OpenAIServerModel:\n        def __init__(self, *a, **k):\n            self.client = types.SimpleNamespace()\n    sa_mod.OpenAIServerModel = OpenAIServerModel\n    sys.modules[\"smolagents.models\"] = sa_mod\n\n_setup_stubs()\n# Now that stubs are in place, attempt to execute the module so imports resolve to our stubs.\n# If this early import fails, clean up the partial module so the later, properly-patched import can run.\ntry:\n    spec.loader.exec_module(openai_llm_module)\n    OpenAIModel = getattr(openai_llm_module, \"OpenAIModel\", None)\nexcept Exception:\n    # Remove any partially-imported module to avoid interfering with later imports\n    if MODULE_NAME in sys.modules:\n        del sys.modules[MODULE_NAME]\n    OpenAIModel = None\n\n\ndef make_chunk(content, reasoning=None, role=None):\n    choice = types.SimpleNamespace()\n    delta = types.SimpleNamespace()\n    delta.content = content\n    delta.reasoning_content = reasoning\n    delta.role = role\n    choice.delta = delta\n    chunk = types.SimpleNamespace()\n    chunk.choices = [choice]\n    chunk.usage = None\n    return chunk\n\n\ndef test_modelengine_message_flattening(monkeypatch):\n    # Create instance with model_factory set to 'modelengine'\n    ModelClass = OpenAIModel or globals().get(\"ImportedOpenAIModel\")\n    m = ModelClass(model_id=\"m\", api_base=\"u\", api_key=\"k\", model_factory=\"modelengine\")\n\n    captured = {}\n\n    def fake_prepare_completion_kwargs(messages=None, **kwargs):\n        captured['messages'] = messages\n        return {}\n\n    m._prepare_completion_kwargs = fake_prepare_completion_kwargs\n    # Ensure required attributes exist\n    m.model_id = \"m\"\n    m.custom_role_conversions = {}\n    # Provide a writable observer with required methods/attributes\n    m.observer = types.SimpleNamespace(current_mode=None,\n                                      add_model_new_token=lambda token: None,\n                                      add_model_reasoning_content=lambda rc: None,\n                                      flush_remaining_tokens=lambda: None)\n\n    # client.chat.completions.create should return an iterable of chunks\n    chunk = make_chunk(\"hi\")\n    client_ns = types.SimpleNamespace()\n    client_ns.chat = types.SimpleNamespace()\n    def fake_create(stream=True, **kw):\n        return [chunk]\n    client_ns.chat.completions = types.SimpleNamespace(create=fake_create)\n    m.client = client_ns\n\n    # Call with dict messages (as external callers might)\n    messages = [{\"role\": \"system\", \"content\": \"SYS\"}, {\"role\": \"user\", \"content\": [\"a\", {\"text\": \"b\"}]}]\n    msg = m.__call__(messages)\n\n    # Ensure prepare got flattened dicts when model_factory == modelengine\n    assert isinstance(captured['messages'], list)\n    assert all(isinstance(x, dict) for x in captured['messages'])\n    # second message content should be flattened into string containing 'b'\n    assert \"b\" in captured['messages'][1]['content']\n\nfrom unittest.mock import AsyncMock, MagicMock, patch, ANY\nimport importlib.util\nimport sys\nfrom pathlib import Path\n\nimport pytest\n\n# ---------------------------------------------------------------------------\n# Prepare mocks for external dependencies similar to test_core_agent.py\n# ---------------------------------------------------------------------------\n\n# Mock smolagents and submodules\nmock_smolagents = MagicMock()\nmock_smolagents.Tool = MagicMock()\n\n# Create dummy sub-modules and attributes\nmock_models_module = MagicMock()\n\n\n# Provide a minimal OpenAIServerModel base with the method needed by OpenAIModel\nclass DummyOpenAIServerModel:\n    def __init__(self, *args, **kwargs):\n        pass\n\n    def _prepare_completion_kwargs(self, *args, **kwargs):\n        # In tests we will patch this method on the instance directly, so default impl is fine\n        return {}\n\n\nmock_models_module.OpenAIServerModel = DummyOpenAIServerModel\nclass SimpleChatMessage:\n    def __init__(self, role=None, content=None, tool_calls=None):\n        self.role = role\n        self.content = content\n        self.raw = None\n    @staticmethod\n    def from_dict(d):\n        return SimpleChatMessage(role=d.get(\"role\"), content=d.get(\"content\"))\nmock_models_module.ChatMessage = SimpleChatMessage\nmock_models_module.MessageRole = MagicMock()\nmock_smolagents.models = mock_models_module\n\n# Mock monitoring modules\nmonitoring_manager_mock = MagicMock()\n\n# Define a decorator that simply returns the original function unchanged\n\n\ndef pass_through_decorator(*args, **kwargs):\n    def decorator(func):\n        return func\n    return decorator\n\n\nmonitoring_manager_mock.monitor_endpoint = pass_through_decorator\nmonitoring_manager_mock.monitor_llm_call = pass_through_decorator\nmonitoring_manager_mock.setup_fastapi_app = MagicMock(return_value=True)\nmonitoring_manager_mock.configure = MagicMock()\nmonitoring_manager_mock.add_span_event = MagicMock()\nmonitoring_manager_mock.set_span_attributes = MagicMock()\n\n# Mock nexent.monitor modules\nnexent_monitor_mock = MagicMock()\nnexent_monitor_mock.get_monitoring_manager = lambda: monitoring_manager_mock\nnexent_monitor_mock.monitoring_manager = monitoring_manager_mock\nnexent_monitor_mock.MonitoringManager = MagicMock\nnexent_monitor_mock.MonitoringConfig = MagicMock\n\n# Create mock parent package structure for nexent module\nnexent_mock = types.ModuleType(\"nexent\")\nnexent_mock.monitor = nexent_monitor_mock\n# Create package-like module objects for nested package structure so relative imports work\nnexent_core_mock = types.ModuleType(\"nexent.core\")\nnexent_core_mock.__path__ = []\nnexent_core_models_mock = types.ModuleType(\"nexent.core.models\")\nnexent_core_models_mock.__path__ = []\nnexent_core_utils_mock = types.ModuleType(\"nexent.core.utils\")\nnexent_core_utils_mock.__path__ = []\n\n# Mock MessageObserver and ProcessType for utils.observer\nclass MockMessageObserver:\n    def __init__(self, *args, **kwargs):\n        self.add_model_new_token = MagicMock()\n        self.add_model_reasoning_content = MagicMock()\n        self.flush_remaining_tokens = MagicMock()\n\nclass MockProcessType:\n    MODEL_OUTPUT_THINKING = \"model_output_thinking\"\n    MODEL_OUTPUT = \"model_output\"\n\nnexent_core_utils_mock.observer = MagicMock()\nnexent_core_utils_mock.observer.MessageObserver = MockMessageObserver\nnexent_core_utils_mock.observer.ProcessType = MockProcessType\n\n# Assemble smolagents.* paths and monitoring mocks\nmodule_mocks = {\n    \"smolagents\": mock_smolagents,\n    \"smolagents.models\": mock_models_module,\n    \"openai.types\": MagicMock(),\n    \"openai.types.chat\": MagicMock(),\n    \"openai.types.chat.chat_completion_message\": MagicMock(),\n    \"openai\": MagicMock(),\n    \"openai.lib\": MagicMock(),\n    \"nexent.monitor\": nexent_monitor_mock,\n    \"nexent.monitor.monitoring\": nexent_monitor_mock,\n    \"nexent.core.utils.observer\": nexent_core_utils_mock.observer,\n}\n\n# Ensure openai package exists with DefaultHttpxClient for patches\nimport types as __types\nopenai_mod = types.ModuleType(\"openai\")\nopenai_mod.DefaultHttpxClient = lambda *a, **k: None\nsys.modules[\"openai\"] = openai_mod\n\n# Dynamically load the module directly by file path\nMODULE_NAME = \"nexent.core.models.openai_llm\"\nMODULE_PATH = (\n    Path(__file__).resolve().parents[4]\n    / \"sdk\"\n    / \"nexent\"\n    / \"core\"\n    / \"models\"\n    / \"openai_llm.py\"\n)\n\nwith patch.dict(\"sys.modules\", module_mocks):\n    # Ensure package modules exist so relative imports in the SDK module\n    # (e.g. `from .message_utils import ...`) resolve without executing\n    # the package's __init__.py which would import OpenAIModel and cause a cycle.\n    models_pkg = types.ModuleType(\"nexent.core.models\")\n    models_pkg.__path__ = [str(MODULE_PATH.parent)]\n    sys.modules[\"nexent.core.models\"] = models_pkg\n    core_pkg = sys.modules.get(\"nexent.core\")\n    if core_pkg is None:\n        core_pkg = types.ModuleType(\"nexent.core\")\n        core_pkg.__path__ = [str(MODULE_PATH.parent.parent)]\n        sys.modules[\"nexent.core\"] = core_pkg\n    top_pkg = sys.modules.get(\"nexent\")\n    if top_pkg is None:\n        top_pkg = types.ModuleType(\"nexent\")\n        top_pkg.__path__ = [str(MODULE_PATH.parent.parent.parent)]\n        sys.modules[\"nexent\"] = top_pkg\n\n    spec = importlib.util.spec_from_file_location(MODULE_NAME, MODULE_PATH)\n    openai_llm_module = importlib.util.module_from_spec(spec)\n    sys.modules[MODULE_NAME] = openai_llm_module\n    assert spec and spec.loader\n    spec.loader.exec_module(openai_llm_module)\n    # Expose the loaded submodule as an attribute on the package object so that\n    # string-based patch targets like \"nexent.core.models.openai_llm.asyncio.to_thread\"\n    # resolve via getattr during unittest.mock's import lookup.\n    try:\n        models_pkg = sys.modules.get(\"nexent.core.models\")\n        if models_pkg is not None:\n            setattr(models_pkg, \"openai_llm\", openai_llm_module)\n    except Exception:\n        pass\n    ImportedOpenAIModel = openai_llm_module.OpenAIModel\n\n    # -----------------------------------------------------------------------\n    # Fixtures\n    # -----------------------------------------------------------------------\n\n    @pytest.fixture()\n    def openai_model_instance():\n        \"\"\"Return an OpenAIModel instance with minimal viable attributes for tests.\"\"\"\n\n        observer = MagicMock()\n        model = ImportedOpenAIModel(observer=observer)\n\n        # Inject dummy attributes required by the method under test\n        model.model_id = \"dummy-model\"\n        model.temperature = 0.7\n        model.top_p = 0.9\n        model.custom_role_conversions = {}  # Add missing attribute\n\n        # Client hierarchy: client.chat.completions.create\n        mock_client = MagicMock()\n        mock_chat = MagicMock()\n        mock_completions = MagicMock()\n        mock_completions.create = MagicMock()\n        mock_chat.completions = mock_completions\n        mock_client.chat = mock_chat\n        model.client = mock_client\n\n        return model\n\n    @pytest.fixture()\n    def mock_chat_message():\n        \"\"\"Create a mock ChatMessage for testing\"\"\"\n        mock_message = MagicMock()\n        mock_message.raw = MagicMock()\n        mock_message.role = MagicMock()\n        return mock_message\n\n\n# ---------------------------------------------------------------------------\n# Tests for check_connectivity\n# ---------------------------------------------------------------------------\n\n\ndef test_check_connectivity_success(openai_model_instance):\n    \"\"\"check_connectivity should return True when no exception is raised.\"\"\"\n    with patch.object(\n            openai_model_instance,\n            \"_prepare_completion_kwargs\",\n            return_value={},\n    ) as mock_prepare_kwargs, patch(\n        \"nexent.core.models.openai_llm.asyncio.to_thread\",\n        new_callable=AsyncMock,\n        return_value=None,\n    ) as mock_to_thread:\n        result = __import__(\"asyncio\").run(openai_model_instance.check_connectivity())\n        assert result is True\n        mock_prepare_kwargs.assert_called_once()\n        mock_to_thread.assert_awaited_once()\n\n\ndef test_check_connectivity_failure(openai_model_instance):\n    \"\"\"check_connectivity should return False when an exception is raised inside to_thread.\"\"\"\n    with patch.object(\n            openai_model_instance,\n            \"_prepare_completion_kwargs\",\n            return_value={},\n    ), patch(\n        \"nexent.core.models.openai_llm.asyncio.to_thread\",\n        new_callable=AsyncMock,\n        side_effect=Exception(\"connection error\"),\n    ):\n        result = __import__(\"asyncio\").run(openai_model_instance.check_connectivity())\n        assert result is False\n\n\n# ---------------------------------------------------------------------------\n# Tests for __call__ method\n# ---------------------------------------------------------------------------\n\ndef test_call_normal_operation(openai_model_instance):\n    \"\"\"Test __call__ method with normal operation flow\"\"\"\n\n    # Setup test messages with correct format\n    messages = [\n        {\"role\": \"user\", \"content\": [{\"text\": \"Hello\"}]},\n        {\"role\": \"assistant\", \"content\": [{\"text\": \"Hi there\"}]}\n    ]\n\n    # Mock the stream response\n    mock_chunk1 = MagicMock()\n    mock_chunk1.choices = [MagicMock()]\n    mock_chunk1.choices[0].delta.content = \"Hello\"\n    mock_chunk1.choices[0].delta.role = \"assistant\"\n\n    mock_chunk2 = MagicMock()\n    mock_chunk2.choices = [MagicMock()]\n    mock_chunk2.choices[0].delta.content = \" world\"\n    mock_chunk2.choices[0].delta.role = None\n\n    mock_chunk3 = MagicMock()\n    mock_chunk3.choices = [MagicMock()]\n    mock_chunk3.choices[0].delta.content = None\n    mock_chunk3.choices[0].delta.role = None\n    mock_chunk3.usage = MagicMock()\n    mock_chunk3.usage.prompt_tokens = 10\n    mock_chunk3.usage.total_tokens = 15\n    # Set completion_tokens for output token count\n    mock_chunk3.usage.completion_tokens = 5\n\n    mock_stream = [mock_chunk1, mock_chunk2, mock_chunk3]\n\n    # Mock ChatMessage.from_dict to return a mock message\n    mock_result_message = MagicMock()\n    mock_result_message.raw = mock_stream\n    mock_result_message.role = MagicMock()\n\n    with patch.object(openai_model_instance, \"_prepare_completion_kwargs\", return_value={}) as mock_prepare, \\\n            patch.object(mock_models_module.ChatMessage, \"from_dict\", return_value=mock_result_message):\n        # Mock the client response\n        openai_model_instance.client.chat.completions.create.return_value = mock_stream\n\n        # Call the method\n        result = openai_model_instance.__call__(messages)\n\n        # Verify the result\n        assert result == mock_result_message\n        mock_prepare.assert_called_once()\n\n        # Verify observer calls\n        openai_model_instance.observer.add_model_new_token.assert_any_call(\n            \"Hello\")\n        openai_model_instance.observer.add_model_new_token.assert_any_call(\n            \" world\")\n        openai_model_instance.observer.flush_remaining_tokens.assert_called_once()\n\n        # Verify token counts were set\n        assert openai_model_instance.last_input_token_count == 10\n        assert openai_model_instance.last_output_token_count == 5\n\n\ndef test_call_with_no_think_token_addition(openai_model_instance):\n    \"\"\"Test __call__ method adds /no_think token to user messages\"\"\"\n\n    # Setup test messages with user as last message\n    messages = [\n        {\"role\": \"assistant\", \"content\": [{\"text\": \"Hi there\"}]},\n        {\"role\": \"user\", \"content\": [{\"text\": \"Hello\"}]}\n    ]\n\n    # Mock the stream response\n    mock_chunk = MagicMock()\n    mock_chunk.choices = [MagicMock()]\n    mock_chunk.choices[0].delta.content = \"Response\"\n    mock_chunk.choices[0].delta.role = \"assistant\"\n    mock_chunk.usage = MagicMock()\n    mock_chunk.usage.prompt_tokens = 5\n    mock_chunk.usage.total_tokens = 8\n\n    # Mock ChatMessage.from_dict to return a mock message\n    mock_result_message = MagicMock()\n    mock_result_message.raw = [mock_chunk]\n    mock_result_message.role = MagicMock()\n\n    with patch.object(openai_model_instance, \"_prepare_completion_kwargs\", return_value={}), \\\n            patch.object(mock_models_module.ChatMessage, \"from_dict\", return_value=mock_result_message):\n        openai_model_instance.client.chat.completions.create.return_value = [\n            mock_chunk]\n\n        # Call the method\n        openai_model_instance.__call__(messages)\n\n        # Verify that /no_think was added to the last user message\n        assert messages[-1][\"content\"][-1][\"text\"] == \"Hello\"\n\n\ndef test_call_without_no_think_token(openai_model_instance):\n    \"\"\"Test __call__ method doesn't add /no_think when last message is not user\"\"\"\n\n    # Setup test messages with assistant as last message\n    messages = [\n        {\"role\": \"user\", \"content\": [{\"text\": \"Hello\"}]},\n        {\"role\": \"assistant\", \"content\": [{\"text\": \"Hi there\"}]}\n    ]\n\n    # Mock the stream response\n    mock_chunk = MagicMock()\n    mock_chunk.choices = [MagicMock()]\n    mock_chunk.choices[0].delta.content = \"Response\"\n    mock_chunk.choices[0].delta.role = \"assistant\"\n    mock_chunk.usage = MagicMock()\n    mock_chunk.usage.prompt_tokens = 5\n    mock_chunk.usage.total_tokens = 8\n\n    # Mock ChatMessage.from_dict to return a mock message\n    mock_result_message = MagicMock()\n    mock_result_message.raw = [mock_chunk]\n    mock_result_message.role = MagicMock()\n\n    with patch.object(openai_model_instance, \"_prepare_completion_kwargs\", return_value={}), \\\n            patch.object(mock_models_module.ChatMessage, \"from_dict\", return_value=mock_result_message):\n        openai_model_instance.client.chat.completions.create.return_value = [\n            mock_chunk]\n\n        # Call the method\n        openai_model_instance.__call__(messages)\n\n        # Verify that /no_think was NOT added\n        assert messages[-1][\"content\"][-1][\"text\"] == \"Hi there\"\n\n\ndef test_call_stop_event_interruption(openai_model_instance):\n    \"\"\"Test __call__ method raises RuntimeError when stop_event is set\"\"\"\n\n    messages = [{\"role\": \"user\", \"content\": [{\"text\": \"Hello\"}]}]\n\n    # Mock the stream response\n    mock_chunk = MagicMock()\n    mock_chunk.choices = [MagicMock()]\n    mock_chunk.choices[0].delta.content = \"Response\"\n    mock_chunk.choices[0].delta.role = \"assistant\"\n\n    with patch.object(openai_model_instance, \"_prepare_completion_kwargs\", return_value={}):\n        openai_model_instance.client.chat.completions.create.return_value = [\n            mock_chunk]\n\n        # Set the stop event before calling\n        openai_model_instance.stop_event.set()\n\n        # Call the method and expect RuntimeError\n        with pytest.raises(RuntimeError, match=\"Model is interrupted by stop event\"):\n            openai_model_instance.__call__(messages)\n\n\ndef test_call_context_length_exceeded_error(openai_model_instance):\n    \"\"\"Test __call__ method handles context_length_exceeded error correctly\"\"\"\n\n    messages = [{\"role\": \"user\", \"content\": [{\"text\": \"Hello\"}]}]\n\n    with patch.object(openai_model_instance, \"_prepare_completion_kwargs\", return_value={}):\n        # Mock the client to raise context length exceeded error\n        openai_model_instance.client.chat.completions.create.side_effect = Exception(\n            \"context_length_exceeded: token limit exceeded\")\n\n        # Call the method and expect the original Exception (since client.create error is not wrapped)\n        with pytest.raises(Exception, match=\"context_length_exceeded: token limit exceeded\"):\n            openai_model_instance.__call__(messages)\n\n\ndef test_call_general_exception(openai_model_instance):\n    \"\"\"Test __call__ method re-raises general exceptions\"\"\"\n\n    messages = [{\"role\": \"user\", \"content\": [{\"text\": \"Hello\"}]}]\n\n    with patch.object(openai_model_instance, \"_prepare_completion_kwargs\", return_value={}):\n        # Mock the client to raise a general exception\n        openai_model_instance.client.chat.completions.create.side_effect = Exception(\n            \"General error\")\n\n        # Call the method and expect the same exception\n        with pytest.raises(Exception, match=\"General error\"):\n            openai_model_instance.__call__(messages)\n\n\ndef test_call_with_no_usage_info(openai_model_instance):\n    \"\"\"Test __call__ method handles case where usage info is None\"\"\"\n\n    messages = [{\"role\": \"user\", \"content\": [{\"text\": \"Hello\"}]}]\n\n    # Mock the stream response with no usage info\n    mock_chunk = MagicMock()\n    mock_chunk.choices = [MagicMock()]\n    mock_chunk.choices[0].delta.content = \"Response\"\n    mock_chunk.choices[0].delta.role = \"assistant\"\n    mock_chunk.usage = None\n\n    # Mock ChatMessage.from_dict to return a mock message\n    mock_result_message = MagicMock()\n    mock_result_message.raw = [mock_chunk]\n    mock_result_message.role = MagicMock()\n\n    with patch.object(openai_model_instance, \"_prepare_completion_kwargs\", return_value={}), \\\n            patch.object(mock_models_module.ChatMessage, \"from_dict\", return_value=mock_result_message):\n        openai_model_instance.client.chat.completions.create.return_value = [\n            mock_chunk]\n\n        # Call the method\n        openai_model_instance.__call__(messages)\n\n        # Verify token counts are set to 0 when usage is None\n        assert openai_model_instance.last_input_token_count == 0\n        assert openai_model_instance.last_output_token_count == 0\n\n\ndef test_call_with_null_tokens(openai_model_instance):\n    \"\"\"Test __call__ method handles null tokens in stream\"\"\"\n\n    messages = [{\"role\": \"user\", \"content\": [{\"text\": \"Hello\"}]}]\n\n    # Mock the stream response with null tokens\n    mock_chunk1 = MagicMock()\n    mock_chunk1.choices = [MagicMock()]\n    mock_chunk1.choices[0].delta.content = None\n    mock_chunk1.choices[0].delta.role = \"assistant\"\n\n    mock_chunk2 = MagicMock()\n    mock_chunk2.choices = [MagicMock()]\n    mock_chunk2.choices[0].delta.content = \"Response\"\n    mock_chunk2.choices[0].delta.role = None\n    mock_chunk2.usage = MagicMock()\n    mock_chunk2.usage.prompt_tokens = 5\n    mock_chunk2.usage.total_tokens = 8\n\n    # Mock ChatMessage.from_dict to return a mock message\n    mock_result_message = MagicMock()\n    mock_result_message.raw = [mock_chunk1, mock_chunk2]\n    mock_result_message.role = MagicMock()\n\n    with patch.object(openai_model_instance, \"_prepare_completion_kwargs\", return_value={}), \\\n            patch.object(mock_models_module.ChatMessage, \"from_dict\", return_value=mock_result_message):\n        openai_model_instance.client.chat.completions.create.return_value = [\n            mock_chunk1, mock_chunk2]\n\n        # Call the method\n        openai_model_instance.__call__(messages)\n\n        # Verify that null tokens are handled correctly (not added to observer)\n        openai_model_instance.observer.add_model_new_token.assert_called_once_with(\n            \"Response\")\n\n\ndef test_call_with_reasoning_content(openai_model_instance):\n    \"\"\"Test __call__ method handles reasoning_content when it is not None\"\"\"\n\n    messages = [{\"role\": \"user\", \"content\": [{\"text\": \"Hello\"}]}]\n\n    # Mock the stream response with reasoning_content\n    mock_chunk1 = MagicMock()\n    mock_chunk1.choices = [MagicMock()]\n    mock_chunk1.choices[0].delta.content = \"Let me think about this\"\n    mock_chunk1.choices[0].delta.role = \"assistant\"\n    mock_chunk1.choices[0].delta.reasoning_content = \"This is a reasoning step\"\n\n    mock_chunk2 = MagicMock()\n    mock_chunk2.choices = [MagicMock()]\n    mock_chunk2.choices[0].delta.content = \"Response\"\n    mock_chunk2.choices[0].delta.role = None\n    mock_chunk2.choices[0].delta.reasoning_content = None\n    mock_chunk2.usage = MagicMock()\n    mock_chunk2.usage.prompt_tokens = 5\n    mock_chunk2.usage.total_tokens = 8\n\n    # Mock ChatMessage.from_dict to return a mock message\n    mock_result_message = MagicMock()\n    mock_result_message.raw = [mock_chunk1, mock_chunk2]\n    mock_result_message.role = MagicMock()\n\n    with patch.object(openai_model_instance, \"_prepare_completion_kwargs\", return_value={}), \\\n            patch.object(mock_models_module.ChatMessage, \"from_dict\", return_value=mock_result_message):\n        openai_model_instance.client.chat.completions.create.return_value = [\n            mock_chunk1, mock_chunk2]\n\n        # Call the method\n        result = openai_model_instance.__call__(messages)\n\n        # Verify the result\n        assert result == mock_result_message\n\n        # Verify that reasoning_content was added to observer\n        openai_model_instance.observer.add_model_reasoning_content.assert_called_once_with(\n            \"This is a reasoning step\")\n\n        # Verify that normal tokens were also added\n        openai_model_instance.observer.add_model_new_token.assert_any_call(\n            \"Let me think about this\")\n        openai_model_instance.observer.add_model_new_token.assert_any_call(\n            \"Response\")\n\n\ndef test_call_with_multiple_reasoning_content_chunks(openai_model_instance):\n    \"\"\"Test __call__ method handles multiple chunks with reasoning_content\"\"\"\n\n    messages = [{\"role\": \"user\", \"content\": [{\"text\": \"Hello\"}]}]\n\n    # Mock the stream response with multiple reasoning_content chunks\n    mock_chunk1 = MagicMock()\n    mock_chunk1.choices = [MagicMock()]\n    mock_chunk1.choices[0].delta.content = \"Let me\"\n    mock_chunk1.choices[0].delta.role = \"assistant\"\n    mock_chunk1.choices[0].delta.reasoning_content = \"First reasoning step\"\n\n    mock_chunk2 = MagicMock()\n    mock_chunk2.choices = [MagicMock()]\n    mock_chunk2.choices[0].delta.content = \" think\"\n    mock_chunk2.choices[0].delta.role = None\n    mock_chunk2.choices[0].delta.reasoning_content = \"Second reasoning step\"\n\n    mock_chunk3 = MagicMock()\n    mock_chunk3.choices = [MagicMock()]\n    mock_chunk3.choices[0].delta.content = \" about this\"\n    mock_chunk3.choices[0].delta.role = None\n    mock_chunk3.choices[0].delta.reasoning_content = None\n    mock_chunk3.usage = MagicMock()\n    mock_chunk3.usage.prompt_tokens = 5\n    mock_chunk3.usage.total_tokens = 8\n\n    # Mock ChatMessage.from_dict to return a mock message\n    mock_result_message = MagicMock()\n    mock_result_message.raw = [mock_chunk1, mock_chunk2, mock_chunk3]\n    mock_result_message.role = MagicMock()\n\n    with patch.object(openai_model_instance, \"_prepare_completion_kwargs\", return_value={}), \\\n            patch.object(mock_models_module.ChatMessage, \"from_dict\", return_value=mock_result_message):\n        openai_model_instance.client.chat.completions.create.return_value = [\n            mock_chunk1, mock_chunk2, mock_chunk3]\n\n        # Call the method\n        result = openai_model_instance.__call__(messages)\n\n        # Verify the result\n        assert result == mock_result_message\n\n        # Verify that all reasoning_content chunks were added to observer\n        openai_model_instance.observer.add_model_reasoning_content.assert_any_call(\n            \"First reasoning step\")\n        openai_model_instance.observer.add_model_reasoning_content.assert_any_call(\n            \"Second reasoning step\")\n\n        # Verify that normal tokens were also added\n        openai_model_instance.observer.add_model_new_token.assert_any_call(\n            \"Let me\")\n        openai_model_instance.observer.add_model_new_token.assert_any_call(\n            \" think\")\n        openai_model_instance.observer.add_model_new_token.assert_any_call(\n            \" about this\")\n\n\ndef test_call_with_reasoning_content_only(openai_model_instance):\n    \"\"\"Test __call__ method handles chunks with only reasoning_content (no content)\"\"\"\n\n    messages = [{\"role\": \"user\", \"content\": [{\"text\": \"Hello\"}]}]\n\n    # Mock the stream response with only reasoning_content\n    mock_chunk1 = MagicMock()\n    mock_chunk1.choices = [MagicMock()]\n    mock_chunk1.choices[0].delta.content = None\n    mock_chunk1.choices[0].delta.role = \"assistant\"\n    mock_chunk1.choices[0].delta.reasoning_content = \"Pure reasoning content\"\n\n    mock_chunk2 = MagicMock()\n    mock_chunk2.choices = [MagicMock()]\n    mock_chunk2.choices[0].delta.content = \"Final response\"\n    mock_chunk2.choices[0].delta.role = None\n    mock_chunk2.choices[0].delta.reasoning_content = None\n    mock_chunk2.usage = MagicMock()\n    mock_chunk2.usage.prompt_tokens = 5\n    mock_chunk2.usage.total_tokens = 8\n\n    # Mock ChatMessage.from_dict to return a mock message\n    mock_result_message = MagicMock()\n    mock_result_message.raw = [mock_chunk1, mock_chunk2]\n    mock_result_message.role = MagicMock()\n\n    with patch.object(openai_model_instance, \"_prepare_completion_kwargs\", return_value={}), \\\n            patch.object(mock_models_module.ChatMessage, \"from_dict\", return_value=mock_result_message):\n        openai_model_instance.client.chat.completions.create.return_value = [\n            mock_chunk1, mock_chunk2]\n\n        # Call the method\n        result = openai_model_instance.__call__(messages)\n\n        # Verify the result\n        assert result == mock_result_message\n\n        # Verify that reasoning_content was added to observer\n        openai_model_instance.observer.add_model_reasoning_content.assert_called_once_with(\n            \"Pure reasoning content\")\n\n        # Verify that only the non-null content token was added\n        openai_model_instance.observer.add_model_new_token.assert_called_once_with(\n            \"Final response\")\n\n\ndef test_call_with_reasoning_content_and_content_together(openai_model_instance):\n    \"\"\"Test __call__ method handles chunks with both reasoning_content and content simultaneously\"\"\"\n\n    messages = [{\"role\": \"user\", \"content\": [{\"text\": \"Hello\"}]}]\n\n    # Mock the stream response with both reasoning_content and content\n    mock_chunk = MagicMock()\n    mock_chunk.choices = [MagicMock()]\n    mock_chunk.choices[0].delta.content = \"Response text\"\n    mock_chunk.choices[0].delta.role = \"assistant\"\n    mock_chunk.choices[0].delta.reasoning_content = \"Reasoning alongside content\"\n    mock_chunk.usage = MagicMock()\n    mock_chunk.usage.prompt_tokens = 5\n    mock_chunk.usage.total_tokens = 8\n\n    # Mock ChatMessage.from_dict to return a mock message\n    mock_result_message = MagicMock()\n    mock_result_message.raw = [mock_chunk]\n    mock_result_message.role = MagicMock()\n\n    with patch.object(openai_model_instance, \"_prepare_completion_kwargs\", return_value={}), \\\n            patch.object(mock_models_module.ChatMessage, \"from_dict\", return_value=mock_result_message):\n        openai_model_instance.client.chat.completions.create.return_value = [\n            mock_chunk]\n\n        # Call the method\n        result = openai_model_instance.__call__(messages)\n\n        # Verify the result\n        assert result == mock_result_message\n\n        # Verify that both reasoning_content and content were processed\n        openai_model_instance.observer.add_model_reasoning_content.assert_called_once_with(\n            \"Reasoning alongside content\")\n        openai_model_instance.observer.add_model_new_token.assert_called_once_with(\n            \"Response text\")\n\n\n# ---------------------------------------------------------------------------\n# Tests for __init__ with ssl_verify parameter\n# ---------------------------------------------------------------------------\n\ndef test_init_with_ssl_verify_false():\n    \"\"\"Test __init__ method creates http_client when ssl_verify=False\"\"\"\n\n    observer = MagicMock()\n\n    # Mock DefaultHttpxClient from openai module\n    with patch(\"openai.DefaultHttpxClient\") as mock_httpx_client:\n        mock_httpx_client.return_value = MagicMock()\n\n        # Create model with ssl_verify=False\n        model = ImportedOpenAIModel(observer=observer, ssl_verify=False)\n\n        # Verify DefaultHttpxClient was called with verify=False\n        mock_httpx_client.assert_called_once_with(verify=False)\n\n\ndef test_init_with_ssl_verify_true():\n    \"\"\"Test __init__ method doesn't create http_client when ssl_verify=True (default)\"\"\"\n\n    observer = MagicMock()\n\n    # Mock DefaultHttpxClient from openai module\n    with patch(\"openai.DefaultHttpxClient\") as mock_httpx_client:\n        # Create model with ssl_verify=True (default)\n        model = ImportedOpenAIModel(observer=observer, ssl_verify=True)\n\n        # Verify DefaultHttpxClient was NOT called\n        mock_httpx_client.assert_not_called()\n\n\n# ---------------------------------------------------------------------------\n# Tests for monitoring and token_tracker integration\n# ---------------------------------------------------------------------------\n\ndef test_call_with_monitoring_and_token_tracker(openai_model_instance):\n    \"\"\"Test __call__ method with monitoring and token_tracker enabled\"\"\"\n\n    messages = [{\"role\": \"user\", \"content\": [{\"text\": \"Hello\"}]}]\n\n    # Create mock token_tracker\n    mock_token_tracker = MagicMock()\n    mock_token_tracker.record_first_token = MagicMock()\n    mock_token_tracker.record_token = MagicMock()\n    mock_token_tracker.record_completion = MagicMock()\n\n    # Mock the stream response\n    mock_chunk1 = MagicMock()\n    mock_chunk1.choices = [MagicMock()]\n    mock_chunk1.choices[0].delta.content = \"Hello\"\n    mock_chunk1.choices[0].delta.role = \"assistant\"\n    mock_chunk1.choices[0].delta.reasoning_content = None\n\n    mock_chunk2 = MagicMock()\n    mock_chunk2.choices = [MagicMock()]\n    mock_chunk2.choices[0].delta.content = \" world\"\n    mock_chunk2.choices[0].delta.role = None\n    mock_chunk2.choices[0].delta.reasoning_content = None\n\n    mock_chunk3 = MagicMock()\n    mock_chunk3.choices = [MagicMock()]\n    mock_chunk3.choices[0].delta.content = None\n    mock_chunk3.choices[0].delta.role = None\n    mock_chunk3.choices[0].delta.reasoning_content = None\n    mock_chunk3.usage = MagicMock()\n    mock_chunk3.usage.prompt_tokens = 10\n    mock_chunk3.usage.completion_tokens = 5\n    mock_chunk3.usage.total_tokens = 15\n\n    mock_stream = [mock_chunk1, mock_chunk2, mock_chunk3]\n\n    # Mock ChatMessage.from_dict\n    mock_result_message = MagicMock()\n    mock_result_message.raw = mock_stream\n    mock_result_message.role = MagicMock()\n\n    with patch.object(openai_model_instance, \"_prepare_completion_kwargs\", return_value={}), \\\n            patch.object(mock_models_module.ChatMessage, \"from_dict\", return_value=mock_result_message):\n        openai_model_instance.client.chat.completions.create.return_value = mock_stream\n\n        # Call with _token_tracker kwarg\n        result = openai_model_instance.__call__(messages, _token_tracker=mock_token_tracker)\n\n        # Verify monitoring calls\n        monitoring_manager_mock.add_span_event.assert_any_call(\"completion_started\")\n        monitoring_manager_mock.set_span_attributes.assert_called()\n        monitoring_manager_mock.add_span_event.assert_any_call(\"completion_finished\", ANY)\n\n        # Verify token_tracker calls\n        mock_token_tracker.record_first_token.assert_called_once()\n        assert mock_token_tracker.record_token.call_count == 2  # \"Hello\" and \" world\"\n        mock_token_tracker.record_completion.assert_called_once_with(10, 5)\n\n\ndef test_call_with_token_tracker_on_reasoning_content(openai_model_instance):\n    \"\"\"Test __call__ method tracks first token on reasoning_content\"\"\"\n\n    messages = [{\"role\": \"user\", \"content\": [{\"text\": \"Hello\"}]}]\n\n    # Create mock token_tracker\n    mock_token_tracker = MagicMock()\n    mock_token_tracker.record_first_token = MagicMock()\n    mock_token_tracker.record_token = MagicMock()\n    mock_token_tracker.record_completion = MagicMock()\n\n    # Mock the stream response with reasoning_content first\n    mock_chunk1 = MagicMock()\n    mock_chunk1.choices = [MagicMock()]\n    mock_chunk1.choices[0].delta.content = None\n    mock_chunk1.choices[0].delta.role = \"assistant\"\n    mock_chunk1.choices[0].delta.reasoning_content = \"Thinking...\"\n\n    mock_chunk2 = MagicMock()\n    mock_chunk2.choices = [MagicMock()]\n    mock_chunk2.choices[0].delta.content = \"Response\"\n    mock_chunk2.choices[0].delta.role = None\n    mock_chunk2.choices[0].delta.reasoning_content = None\n    mock_chunk2.usage = MagicMock()\n    mock_chunk2.usage.prompt_tokens = 5\n    mock_chunk2.usage.completion_tokens = 3\n    mock_chunk2.usage.total_tokens = 8\n\n    mock_stream = [mock_chunk1, mock_chunk2]\n\n    # Mock ChatMessage.from_dict\n    mock_result_message = MagicMock()\n    mock_result_message.raw = mock_stream\n    mock_result_message.role = MagicMock()\n\n    with patch.object(openai_model_instance, \"_prepare_completion_kwargs\", return_value={}), \\\n            patch.object(mock_models_module.ChatMessage, \"from_dict\", return_value=mock_result_message):\n        openai_model_instance.client.chat.completions.create.return_value = mock_stream\n\n        # Call with _token_tracker kwarg\n        result = openai_model_instance.__call__(messages, _token_tracker=mock_token_tracker)\n\n        # Verify token_tracker.record_first_token was called when reasoning_content was received\n        mock_token_tracker.record_first_token.assert_called()\n        mock_token_tracker.record_token.assert_called_once_with(\"Response\")\n\n\ndef test_call_with_stop_event_and_token_tracker(openai_model_instance):\n    \"\"\"Test __call__ method adds monitoring event when stop_event is set with token_tracker\"\"\"\n\n    messages = [{\"role\": \"user\", \"content\": [{\"text\": \"Hello\"}]}]\n\n    # Create mock token_tracker\n    mock_token_tracker = MagicMock()\n\n    # Mock the stream response\n    mock_chunk = MagicMock()\n    mock_chunk.choices = [MagicMock()]\n    mock_chunk.choices[0].delta.content = \"Response\"\n    mock_chunk.choices[0].delta.role = \"assistant\"\n    mock_chunk.choices[0].delta.reasoning_content = None\n\n    with patch.object(openai_model_instance, \"_prepare_completion_kwargs\", return_value={}):\n        openai_model_instance.client.chat.completions.create.return_value = [mock_chunk]\n\n        # Set the stop event before calling\n        openai_model_instance.stop_event.set()\n\n        # Call the method with token_tracker and expect RuntimeError\n        with pytest.raises(RuntimeError, match=\"Model is interrupted by stop event\"):\n            openai_model_instance.__call__(messages, _token_tracker=mock_token_tracker)\n\n        # Verify monitoring event was added\n        monitoring_manager_mock.add_span_event.assert_any_call(\"model_stopped\", {\"reason\": \"stop_event_set\"})\n\n\ndef test_call_exception_with_token_tracker(openai_model_instance):\n    \"\"\"Test __call__ method adds error event when exception occurs with token_tracker\"\"\"\n\n    messages = [{\"role\": \"user\", \"content\": [{\"text\": \"Hello\"}]}]\n\n    # Create mock token_tracker\n    mock_token_tracker = MagicMock()\n\n    with patch.object(openai_model_instance, \"_prepare_completion_kwargs\", return_value={}):\n        # Mock the client to raise an exception\n        openai_model_instance.client.chat.completions.create.side_effect = Exception(\"API Error\")\n\n        # Call the method with token_tracker and expect exception\n        with pytest.raises(Exception, match=\"API Error\"):\n            openai_model_instance.__call__(messages, _token_tracker=mock_token_tracker)\n\n        # Verify error event was added\n        monitoring_manager_mock.add_span_event.assert_any_call(\"error_occurred\", ANY)\n\n\ndef test_call_context_length_exceeded_with_token_tracker(openai_model_instance):\n    \"\"\"Test __call__ method adds error event for context_length_exceeded with token_tracker\"\"\"\n\n    messages = [{\"role\": \"user\", \"content\": [{\"text\": \"Hello\"}]}]\n\n    # Create mock token_tracker\n    mock_token_tracker = MagicMock()\n\n    with patch.object(openai_model_instance, \"_prepare_completion_kwargs\", return_value={}):\n        # Mock the client to raise context length exceeded error\n        openai_model_instance.client.chat.completions.create.side_effect = Exception(\n            \"context_length_exceeded: token limit exceeded\")\n\n        # Call the method with token_tracker and expect exception\n        with pytest.raises(Exception, match=\"context_length_exceeded\"):\n            openai_model_instance.__call__(messages, _token_tracker=mock_token_tracker)\n\n        # Verify error event was added\n        monitoring_manager_mock.add_span_event.assert_any_call(\"error_occurred\", ANY)\n\ndef test_call_with_chatmessage_instance_passed_through(openai_model_instance):\n    \"\"\"Passing a ChatMessage instance should be preserved and passed to _prepare_completion_kwargs.\"\"\"\n\n    # Create a ChatMessage instance (should be preserved as-is)\n    chat_msg = mock_models_module.ChatMessage(role=\"user\", content=[{\"text\": \"Hello\"}])\n\n    captured = {}\n\n    def fake_prepare_completion_kwargs(messages=None, **kwargs):\n        captured[\"messages\"] = messages\n        return {}\n\n    # Prepare a simple stream response to satisfy __call__ output handling\n    mock_chunk = MagicMock()\n    mock_chunk.choices = [MagicMock()]\n    mock_chunk.choices[0].delta.content = \"Response\"\n    mock_chunk.choices[0].delta.role = \"assistant\"\n    mock_chunk.usage = MagicMock()\n    mock_chunk.usage.prompt_tokens = 1\n    mock_chunk.usage.completion_tokens = 1\n\n    mock_result_message = MagicMock()\n\n    with patch.object(openai_model_instance, \"_prepare_completion_kwargs\", side_effect=fake_prepare_completion_kwargs), \\\n            patch.object(mock_models_module.ChatMessage, \"from_dict\", return_value=mock_result_message):\n        openai_model_instance.client.chat.completions.create.return_value = [mock_chunk]\n        result = openai_model_instance.__call__([chat_msg])\n\n    # Ensure the same ChatMessage object instance was passed through unchanged\n    assert \"messages\" in captured\n    assert captured[\"messages\"][0] is chat_msg\n\n    # Ensure the final returned message is the constructed result (from_dict used for output)\n    assert result == mock_result_message\n\ndef test_call_invalid_dict_message_raises_value_error(openai_model_instance):\n    \"\"\"Passing a dict missing 'content' should raise ValueError during normalization.\"\"\"\n    messages = [{\"role\": \"user\"}]  # missing 'content'\n    with patch.object(openai_model_instance, \"_prepare_completion_kwargs\", return_value={}):\n        with pytest.raises(ValueError, match=\"Each message dict must include 'role' and 'content'.\"):\n            openai_model_instance.__call__(messages)\n\n\ndef test_call_invalid_message_type_raises_type_error(openai_model_instance):\n    \"\"\"Passing a message that is neither dict nor ChatMessage should raise TypeError.\"\"\"\n    messages = [42]  # invalid type\n    with patch.object(openai_model_instance, \"_prepare_completion_kwargs\", return_value={}):\n        with pytest.raises(TypeError, match=\"Messages must be ChatMessage or dict objects.\"):\n            openai_model_instance.__call__(messages)\n\nif __name__ == \"__main__\":\n    pytest.main([__file__])\n"
  },
  {
    "path": "test/sdk/core/models/test_openai_long_context_model.py",
    "content": "import pytest\nimport sys\nfrom unittest.mock import MagicMock, patch\n\nmock_smolagents = MagicMock()\nmock_models_module = MagicMock()\n\n\nclass MockOpenAIServerModel:\n    def __init__(self, *args, **kwargs):\n        pass\n\n\nclass MockChatMessage:\n    def __init__(self, content=\"\", role=\"user\"):\n        self.content = content\n        self.role = role\n        self.raw = MagicMock()\n\n\nmock_models_module.OpenAIServerModel = MockOpenAIServerModel\nmock_models_module.ChatMessage = MockChatMessage\nmock_smolagents.models = mock_models_module\n\nwith patch.dict(\"sys.modules\", {\n    \"smolagents\": mock_smolagents,\n    \"smolagents.models\": mock_models_module,\n}):\n    import sdk.nexent.core.models.openai_long_context_model as openai_long_context_model\n    from sdk.nexent.core.utils.observer import MessageObserver\n\n\n@pytest.fixture\ndef mock_observer():\n    return MagicMock(spec=MessageObserver)\n\n\n@pytest.fixture\ndef long_context_model(mock_observer):\n    model = openai_long_context_model.OpenAILongContextModel(\n        observer=mock_observer,\n        temperature=0.5,\n        top_p=0.95,\n        max_context_tokens=128000,\n        truncation_strategy=\"start\"\n    )\n    model.model_id = \"test-model\"\n    return model\n\n\n@pytest.fixture\ndef mock_tokenizer():\n    mock_enc = MagicMock()\n    mock_enc.encode.return_value = list(range(1, 11))\n    mock_enc.decode.return_value = \"decoded text\"\n    return mock_enc\n\n\ndef test_init_default_values(mock_observer):\n    model = openai_long_context_model.OpenAILongContextModel(observer=mock_observer)\n    assert model.max_context_tokens == 128000\n    assert model.truncation_strategy == \"start\"\n    assert model._tokenizer is None\n\n\ndef test_init_custom_values(mock_observer):\n    model = openai_long_context_model.OpenAILongContextModel(observer=mock_observer, max_context_tokens=64000, truncation_strategy=\"middle\")\n    assert model.max_context_tokens == 64000\n    assert model.truncation_strategy == \"middle\"\n\n\ndef test_init_invalid_truncation_strategy(mock_observer):\n    with pytest.raises(ValueError, match=\"truncation_strategy must be 'start', 'middle' or 'end'\"):\n        openai_long_context_model.OpenAILongContextModel(observer=mock_observer, truncation_strategy=\"invalid\")\n\n\ndef test_get_tokenizer_success(long_context_model, mock_tokenizer):\n    with patch.object(long_context_model, '_get_tokenizer', return_value=mock_tokenizer):\n        result = long_context_model._get_tokenizer()\n        assert result == mock_tokenizer\n\n\ndef test_get_tokenizer_import_error(long_context_model):\n    with patch.object(long_context_model, '_get_tokenizer', return_value=None):\n        result = long_context_model._get_tokenizer()\n        assert result is None\n\n\ndef test_get_tokenizer_cached(long_context_model, mock_tokenizer):\n    long_context_model._tokenizer = mock_tokenizer\n    assert long_context_model._get_tokenizer() == mock_tokenizer\n\n\ndef test_count_tokens_with_tiktoken(long_context_model, mock_tokenizer):\n    with patch.object(long_context_model, '_get_tokenizer', return_value=mock_tokenizer):\n        mock_tokenizer.encode.return_value = [1, 2, 3, 4, 5]\n        assert long_context_model.count_tokens(\"test text\") == 5\n\n\ndef test_count_tokens_without_tiktoken(long_context_model):\n    long_context_model._tokenizer = None\n    with patch.object(long_context_model, '_get_tokenizer', return_value=None):\n        result = long_context_model.count_tokens(\"a\" * 20)\n        assert result == 5\n\n\ndef test_truncate_text_no_truncation_needed(long_context_model):\n    long_context_model.count_tokens = MagicMock(return_value=10)\n    assert long_context_model.truncate_text(\"short text\", 20) == \"short text\"\n\n\n@patch.object(openai_long_context_model.logging, \"getLogger\")\ndef test_truncate_text_start_strategy_with_tiktoken(mock_logger, long_context_model, mock_tokenizer):\n    with patch.object(long_context_model, '_get_tokenizer', return_value=mock_tokenizer):\n        long_context_model.count_tokens = MagicMock(return_value=100)\n        mock_tokenizer.encode.return_value = list(range(1, 11))\n        assert long_context_model.truncate_text(\"long text\", 5) == \"decoded text\"\n\n\n@patch.object(openai_long_context_model.logging, \"getLogger\")\ndef test_truncate_text_middle_strategy_with_tiktoken(mock_logger, long_context_model, mock_tokenizer):\n    with patch.object(long_context_model, '_get_tokenizer', return_value=mock_tokenizer):\n        long_context_model.truncation_strategy = \"middle\"\n        long_context_model.count_tokens = MagicMock(return_value=100)\n        mock_tokenizer.encode.return_value = list(range(1, 11))\n        long_context_model.truncate_text(\"long text\", 6)\n        mock_tokenizer.decode.assert_called_once_with([1, 2, 3, 8, 9, 10])\n\n\n@patch.object(openai_long_context_model.logging, \"getLogger\")\ndef test_truncate_text_end_strategy_with_tiktoken(mock_logger, long_context_model, mock_tokenizer):\n    with patch.object(long_context_model, '_get_tokenizer', return_value=mock_tokenizer):\n        long_context_model.truncation_strategy = \"end\"\n        long_context_model.count_tokens = MagicMock(return_value=100)\n        mock_tokenizer.encode.return_value = list(range(1, 11))\n        long_context_model.truncate_text(\"long text\", 5)\n        mock_tokenizer.decode.assert_called_once_with([6, 7, 8, 9, 10])\n\n\n@patch.object(openai_long_context_model.logging, \"getLogger\")\ndef test_truncate_text_without_tiktoken_start_strategy(mock_logger, long_context_model):\n    with patch.object(long_context_model, '_get_tokenizer', return_value=None):\n        long_context_model.count_tokens = MagicMock(return_value=100)\n        result = long_context_model.truncate_text(\"x\" * 100, 10)\n        assert result == \"x\" * 40\n\n\n@patch.object(openai_long_context_model.logging, \"getLogger\")\ndef test_truncate_text_without_tiktoken_middle_strategy(mock_logger, long_context_model):\n    with patch.object(long_context_model, '_get_tokenizer', return_value=None):\n        long_context_model.truncation_strategy = \"middle\"\n        long_context_model.count_tokens = MagicMock(return_value=100)\n        result = long_context_model.truncate_text(\"abcdefghij\" * 5, 10)\n        assert \"[Content truncated...]\" in result\n\n\n@patch.object(openai_long_context_model.logging, \"getLogger\")\ndef test_truncate_text_without_tiktoken_end_strategy(mock_logger, long_context_model):\n    with patch.object(long_context_model, '_get_tokenizer', return_value=None):\n        long_context_model.count_tokens = MagicMock(return_value=100)\n        text = \"abcdefghij\" * 5\n        result = long_context_model.truncate_text(text, 10)\n        assert result == text[-40:]\n\n\ndef test_prepare_long_text_message(long_context_model):\n    long_context_model.count_tokens = MagicMock(side_effect=[50, 30, 1000, 800])\n    long_context_model.truncate_text = MagicMock(return_value=\"truncated content\")\n    messages, truncation_percentage = long_context_model.prepare_long_text_message(\"very long content\", \"system prompt\", \"user prompt\")\n    assert len(messages) == 2\n    assert messages[0][\"role\"] == \"system\"\n    assert \"truncated content\" in messages[1][\"content\"]\n    assert isinstance(truncation_percentage, str)\n\n\ndef test_prepare_long_text_message_no_truncation_needed(long_context_model):\n    long_context_model.count_tokens = MagicMock(side_effect=[50, 30, 100, 100])\n    long_context_model.truncate_text = MagicMock(return_value=\"original content\")\n    messages, truncation_percentage = long_context_model.prepare_long_text_message(\"short content\", \"system prompt\", \"user prompt\")\n    assert len(messages) == 2\n    long_context_model.truncate_text.assert_called_once()\n    assert isinstance(truncation_percentage, str)\n\n\ndef test_analyze_long_text_exception(long_context_model):\n    long_context_model.prepare_long_text_message = MagicMock(side_effect=Exception(\"test error\"))\n    with pytest.raises(Exception, match=\"test error\"):\n        long_context_model.analyze_long_text(\"t\", \"sp\", \"up\")\n\n\ndef test_edge_cases(long_context_model):\n    long_context_model.count_tokens = MagicMock(return_value=0)\n    assert long_context_model.truncate_text(\"\", 100) == \"\"\n\n    long_context_model.count_tokens = MagicMock(return_value=10)\n    assert len(long_context_model.truncate_text(\"test\", 1)) > 0\n\n    long_context_model.count_tokens = MagicMock(return_value=100)\n    assert long_context_model.truncate_text(\"test\", 100) == \"test\"\n\n\ndef test_token_calculation_accuracy(long_context_model):\n    with patch.object(long_context_model, '_get_tokenizer', return_value=None):\n        short_text = \"Hello world\"\n        assert long_context_model.count_tokens(short_text) == len(short_text) // 4\n\n        long_text = \"This is a much longer text for estimation\"\n        assert long_context_model.count_tokens(long_text) == len(long_text) // 4\n\n\ndef test_truncation_strategies_comparison(long_context_model):\n    with patch.object(long_context_model, '_get_tokenizer', return_value=None):\n        long_context_model.count_tokens = MagicMock(return_value=100)\n        text = \"This is a very long text for truncation strategy test\"\n\n        long_context_model.truncation_strategy = \"start\"\n        start_result = long_context_model.truncate_text(text, 10)\n\n        long_context_model.truncation_strategy = \"end\"\n        end_result = long_context_model.truncate_text(text, 10)\n\n        long_context_model.truncation_strategy = \"middle\"\n        middle_result = long_context_model.truncate_text(text, 10)\n\n        assert start_result != end_result\n        assert start_result != middle_result\n        assert end_result != middle_result\n\n\ndef test_prepare_long_text_message_insufficient_tokens(long_context_model):\n    \"\"\"Test that ValueError is raised when there are insufficient tokens available\"\"\"\n    # Mock count_tokens to return high values that exceed max_context_tokens\n    long_context_model.count_tokens = MagicMock(side_effect=[50000, 40000, 1000])  # system + user + content\n    long_context_model.max_context_tokens = 80000  # Less than required (50000 + 40000 + 100)\n    \n    with pytest.raises(ValueError, match=\"Insufficient tokens available\"):\n        long_context_model.prepare_long_text_message(\"content\", \"system prompt\", \"user prompt\")\n"
  },
  {
    "path": "test/sdk/core/models/test_openai_vlm.py",
    "content": "import asyncio\nimport pytest\nfrom unittest.mock import AsyncMock, MagicMock, patch\n\n# ---------------------------------------------------------------------------\n# Prepare mocks for external dependencies similar to test_openai_llm.py\n# ---------------------------------------------------------------------------\n\n# Mock smolagents and submodules\nmock_smolagents = MagicMock()\nmock_smolagents.Tool = MagicMock()\n\n# Create dummy sub-modules and attributes\nmock_models_module = MagicMock()\n\n# Provide a minimal OpenAIServerModel base with the method needed by OpenAIModel\nclass DummyOpenAIServerModel:\n    def __init__(self, *args, **kwargs):\n        pass\n\n    def _prepare_completion_kwargs(self, *args, **kwargs):\n        # In tests we will patch this method on the instance directly, so default impl is fine\n        return {}\n\nmock_models_module.OpenAIServerModel = DummyOpenAIServerModel\nmock_models_module.ChatMessage = MagicMock()\nmock_smolagents.models = mock_models_module\n\n# Assemble smolagents.* paths and openai.* placeholders\nmodule_mocks = {\n    \"smolagents\": mock_smolagents,\n    \"smolagents.models\": mock_models_module,\n    \"openai.types\": MagicMock(),\n    \"openai.types.chat\": MagicMock(),\n    \"openai.types.chat.chat_completion_message\": MagicMock(),\n}\n\n\nwith patch.dict(\"sys.modules\", module_mocks):\n\n    # Import after patching so dependencies are satisfied\n    from sdk.nexent.core.models.openai_vlm import OpenAIVLModel as ImportedOpenAIVLModel\n\n\n    # -----------------------------------------------------------------------\n    # Fixtures\n    # -----------------------------------------------------------------------\n\n    @pytest.fixture()\n    def vl_model_instance():\n        \"\"\"Return an OpenAIVLModel instance with minimal viable attributes for tests.\"\"\"\n\n        observer = MagicMock()\n        model = ImportedOpenAIVLModel(observer=observer, ssl_verify=True)\n\n        # Inject dummy attributes required by the method under test\n        model.model_id = \"dummy-model\"\n\n        # Client hierarchy: client.chat.completions.create\n        mock_client = MagicMock()\n        mock_chat = MagicMock()\n        mock_completions = MagicMock()\n        mock_completions.create = MagicMock()\n        mock_chat.completions = mock_completions\n        mock_client.chat = mock_chat\n        model.client = mock_client\n\n        return model\n\n\n# ---------------------------------------------------------------------------\n# Tests for check_connectivity\n# ---------------------------------------------------------------------------\n\n\n@pytest.mark.asyncio\nasync def test_check_connectivity_success(vl_model_instance):\n    \"\"\"check_connectivity should return True when no exception is raised.\"\"\"\n\n    with patch.object(\n        vl_model_instance,\n        \"_prepare_completion_kwargs\",\n        return_value={},\n    ) as mock_prepare_kwargs, patch.object(\n        asyncio,\n        \"to_thread\",\n        new_callable=AsyncMock,\n        return_value=None,\n    ) as mock_to_thread:\n        result = await vl_model_instance.check_connectivity()\n\n        assert result is True\n        mock_prepare_kwargs.assert_called_once()\n        mock_to_thread.assert_awaited_once()\n\n\n@pytest.mark.asyncio\nasync def test_check_connectivity_failure(vl_model_instance):\n    \"\"\"check_connectivity should return False when an exception is raised inside to_thread.\"\"\"\n\n    with patch.object(\n        vl_model_instance,\n        \"_prepare_completion_kwargs\",\n        return_value={},\n    ), patch.object(\n        asyncio,\n        \"to_thread\",\n        new_callable=AsyncMock,\n        side_effect=Exception(\"connection error\"),\n    ):\n        result = await vl_model_instance.check_connectivity()\n        assert result is False\n"
  },
  {
    "path": "test/sdk/core/models/test_stt_model.py",
    "content": "import pytest\nimport asyncio\nimport gzip\nimport json\nimport wave\nfrom io import BytesIO\nfrom unittest.mock import AsyncMock, MagicMock, patch, mock_open\nfrom typing import Dict, Any\n\n# Mock websockets before importing the module\nmock_websockets = MagicMock()\nmock_websockets.connect = AsyncMock()\nmock_websockets.exceptions = MagicMock()\n\nclass MockConnectionClosedError(Exception):\n    def __init__(self, code, reason):\n        self.code = code\n        self.reason = reason\n        super().__init__(reason)\n\nmock_websockets.exceptions.ConnectionClosedError = MockConnectionClosedError\nmock_websockets.exceptions.WebSocketException = Exception\n\n# Mock aiofiles with proper async context manager\nmock_aiofiles = MagicMock()\n\n# Create a proper async context manager mock\nclass MockAsyncContextManager:\n    def __init__(self, mock_file):\n        self.mock_file = mock_file\n    \n    async def __aenter__(self):\n        return self.mock_file\n    \n    async def __aexit__(self, exc_type, exc_val, exc_tb):\n        return None\n\ndef mock_aiofiles_open(*args, **kwargs):\n    mock_file = AsyncMock()\n    mock_file.read = AsyncMock(return_value=b\"mock_data\")\n    return MockAsyncContextManager(mock_file)\n\nmock_aiofiles.open = mock_aiofiles_open\n\nmodule_mocks = {\n    \"websockets\": mock_websockets,\n    \"aiofiles\": mock_aiofiles,\n}\n\nwith patch.dict(\"sys.modules\", module_mocks):\n    from sdk.nexent.core.models.stt_model import (\n        STTModel, STTConfig, AudioType, process_audio_item,\n        PROTOCOL_VERSION, DEFAULT_HEADER_SIZE, CLIENT_FULL_REQUEST,\n        CLIENT_AUDIO_ONLY_REQUEST, SERVER_FULL_RESPONSE, SERVER_ACK,\n        SERVER_ERROR_RESPONSE, NO_SEQUENCE, POS_SEQUENCE, NEG_SEQUENCE,\n        NEG_WITH_SEQUENCE, JSON, GZIP, NO_COMPRESSION, wave, websockets,\n        aiofiles\n    )\n\n\nclass TestSTTConfig:\n    \"\"\"Test STTConfig data model\"\"\"\n    \n    def test_stt_config_default_values(self):\n        \"\"\"Test STTConfig with default values\"\"\"\n        config = STTConfig(appid=\"test_app\", token=\"test_token\")\n        \n        assert config.appid == \"test_app\"\n        assert config.token == \"test_token\"\n        assert config.ws_url == \"wss://openspeech.bytedance.com/api/v3/sauc/bigmodel\"\n        assert config.uid == \"streaming_asr_demo\"\n        assert config.format == \"pcm\"\n        assert config.rate == 16000\n        assert config.bits == 16\n        assert config.channel == 1\n        assert config.codec == \"raw\"\n        assert config.seg_duration == 10\n        assert config.mp3_seg_size == 1000\n        assert config.resourceid == \"volc.bigasr.sauc.duration\"\n        assert config.streaming is True\n        assert config.compression is True\n\n    def test_stt_config_custom_values(self):\n        \"\"\"Test STTConfig with custom values\"\"\"\n        config = STTConfig(\n            appid=\"custom_app\",\n            token=\"custom_token\",\n            ws_url=\"wss://custom.example.com\",\n            format=\"wav\",\n            rate=48000,\n            streaming=False,\n            compression=False\n        )\n        \n        assert config.appid == \"custom_app\"\n        assert config.token == \"custom_token\"\n        assert config.ws_url == \"wss://custom.example.com\"\n        assert config.format == \"wav\"\n        assert config.rate == 48000\n        assert config.streaming is False\n        assert config.compression is False\n\n\nclass TestSTTModel:\n    \"\"\"Test STTModel class\"\"\"\n\n    @pytest.fixture\n    def stt_config(self):\n        \"\"\"Create a test STT configuration\"\"\"\n        return STTConfig(\n            appid=\"test_app\",\n            token=\"test_token\",\n            compression=True\n        )\n\n    @pytest.fixture\n    def stt_model(self, stt_config):\n        \"\"\"Create a test STT model instance\"\"\"\n        return STTModel(stt_config, \"/path/to/test/voice.wav\")\n\n    def test_init(self, stt_config):\n        \"\"\"Test STTModel initialization\"\"\"\n        test_voice_path = \"/path/to/test.wav\"\n        model = STTModel(stt_config, test_voice_path)\n        \n        assert model.config == stt_config\n        assert model.test_voice_path == test_voice_path\n        assert model.success_code == 1000\n\n    def test_generate_header_default(self, stt_model):\n        \"\"\"Test generate_header with default parameters\"\"\"\n        header = stt_model.generate_header()\n        \n        assert len(header) == 4\n        assert header[0] == (PROTOCOL_VERSION << 4) | DEFAULT_HEADER_SIZE\n        assert header[1] == (CLIENT_FULL_REQUEST << 4) | NO_SEQUENCE\n        assert header[2] == (JSON << 4) | GZIP  # compression enabled by default\n        assert header[3] == 0x00\n\n    def test_generate_header_no_compression(self, stt_config):\n        \"\"\"Test generate_header with compression disabled\"\"\"\n        stt_config.compression = False\n        stt_model = STTModel(stt_config, \"/test/path\")\n        \n        header = stt_model.generate_header()\n        \n        assert header[2] == (JSON << 4) | NO_COMPRESSION\n\n    def test_generate_header_custom_params(self, stt_model):\n        \"\"\"Test generate_header with custom parameters\"\"\"\n        header = stt_model.generate_header(\n            message_type=CLIENT_AUDIO_ONLY_REQUEST,\n            message_type_specific_flags=POS_SEQUENCE,\n            compression_type=NO_COMPRESSION\n        )\n        \n        assert header[1] == (CLIENT_AUDIO_ONLY_REQUEST << 4) | POS_SEQUENCE\n        assert header[2] == (JSON << 4) | NO_COMPRESSION\n\n    def test_generate_before_payload(self):\n        \"\"\"Test generate_before_payload static method\"\"\"\n        sequence = 123\n        payload = STTModel.generate_before_payload(sequence)\n        \n        assert len(payload) == 4\n        assert int.from_bytes(payload, 'big', signed=True) == sequence\n\n    def test_read_wav_info(self):\n        \"\"\"Test read_wav_info static method\"\"\"\n        # Mock the wave module to avoid actual file format parsing\n        mock_wave_fp = MagicMock()\n        mock_wave_fp.getparams.return_value = (2, 2, 44100, 100)  # nchannels, sampwidth, framerate, nframes\n        mock_wave_fp.readframes.return_value = b'\\x00\\x00' * 200  # 100 frames * 2 channels * 2 bytes\n        mock_wave_fp.__enter__ = MagicMock(return_value=mock_wave_fp)\n        mock_wave_fp.__exit__ = MagicMock(return_value=None)\n        \n        with patch.object(wave, \"open\", return_value=mock_wave_fp):\n            wav_data = b\"fake_wav_data\"\n            nchannels, sampwidth, framerate, nframes, wave_bytes = STTModel.read_wav_info(wav_data)\n            \n            assert nchannels == 2\n            assert sampwidth == 2\n            assert framerate == 44100\n            assert nframes == 100\n            assert len(wave_bytes) == 400  # 2 channels * 2 bytes * 100 frames\n\n    def test_slice_data(self):\n        \"\"\"Test slice_data static method\"\"\"\n        data = b'0123456789'\n        chunk_size = 3\n        \n        chunks = list(STTModel.slice_data(data, chunk_size))\n        \n        assert len(chunks) == 4\n        assert chunks[0] == (b'012', False)\n        assert chunks[1] == (b'345', False)\n        assert chunks[2] == (b'678', False)\n        assert chunks[3] == (b'9', True)\n\n    def test_construct_request(self, stt_model):\n        \"\"\"Test construct_request method\"\"\"\n        reqid = \"test_request_123\"\n        request = stt_model.construct_request(reqid)\n        \n        expected_request = {\n            \"user\": {\"uid\": stt_model.config.uid},\n            \"audio\": {\n                'format': stt_model.config.format,\n                \"sample_rate\": stt_model.config.rate,\n                \"bits\": stt_model.config.bits,\n                \"channel\": stt_model.config.channel,\n                \"codec\": stt_model.config.codec\n            },\n            \"request\": {\n                \"model_name\": \"bigmodel\",\n                \"enable_punc\": True\n            }\n        }\n        \n        assert request == expected_request\n\n    def test_parse_response_server_full_response(self):\n        \"\"\"Test parse_response with SERVER_FULL_RESPONSE\"\"\"\n        # Create a mock response with JSON payload\n        payload_data = {\"result\": {\"text\": \"Hello world\"}}\n        payload_json = json.dumps(payload_data).encode('utf-8')\n        payload_compressed = gzip.compress(payload_json)\n        \n        response = bytearray()\n        response.append((PROTOCOL_VERSION << 4) | DEFAULT_HEADER_SIZE)  # protocol version + header size\n        response.append((SERVER_FULL_RESPONSE << 4) | POS_SEQUENCE)  # message type + flags\n        response.append((JSON << 4) | GZIP)  # serialization + compression\n        response.append(0x00)  # reserved\n        response.extend((123).to_bytes(4, 'big', signed=True))  # sequence\n        response.extend(len(payload_compressed).to_bytes(4, 'big', signed=True))  # payload size\n        response.extend(payload_compressed)  # payload\n        \n        result = STTModel.parse_response(bytes(response))\n        \n        assert result['payload_sequence'] == 123\n        assert result['is_last_package'] is False\n        assert result['payload_msg'] == payload_data\n        assert result['payload_size'] == len(payload_compressed)\n\n    def test_parse_response_server_error(self):\n        \"\"\"Test parse_response with SERVER_ERROR_RESPONSE\"\"\"\n        error_msg = {\"error\": \"Invalid request\"}\n        error_json = json.dumps(error_msg).encode('utf-8')\n        error_compressed = gzip.compress(error_json)\n        \n        response = bytearray()\n        response.append((PROTOCOL_VERSION << 4) | DEFAULT_HEADER_SIZE)\n        response.append((SERVER_ERROR_RESPONSE << 4) | NO_SEQUENCE)\n        response.append((JSON << 4) | GZIP)\n        response.append(0x00)\n        response.extend((45000081).to_bytes(4, 'big', signed=False))  # error code\n        response.extend(len(error_compressed).to_bytes(4, 'big', signed=False))  # payload size\n        response.extend(error_compressed)  # payload\n        \n        result = STTModel.parse_response(bytes(response))\n        \n        assert result['code'] == 45000081\n        assert result['payload_msg'] == error_msg\n        assert result['is_last_package'] is False\n\n    def test_parse_response_last_package(self):\n        \"\"\"Test parse_response with last package flag\"\"\"\n        response = bytearray()\n        response.append((PROTOCOL_VERSION << 4) | DEFAULT_HEADER_SIZE)\n        response.append((SERVER_ACK << 4) | NEG_SEQUENCE)  # NEG_SEQUENCE indicates last package\n        response.append((JSON << 4) | NO_COMPRESSION)\n        response.append(0x00)\n        response.extend((-123).to_bytes(4, 'big', signed=True))  # negative sequence\n        \n        result = STTModel.parse_response(bytes(response))\n        \n        assert result['is_last_package'] is True\n        assert result['seq'] == -123\n\n    @pytest.mark.asyncio\n    async def test_process_audio_data_connection_error(self, stt_model):\n        \"\"\"Test process_audio_data with connection error\"\"\"\n        audio_data = b\"test_audio_data\"\n        segment_size = 50\n        \n        with patch.object(\n            websockets,\n            \"connect\",\n            side_effect=MockConnectionClosedError(1006, \"Connection closed abnormally\"),\n        ):\n            result = await stt_model.process_audio_data(audio_data, segment_size)\n\n            assert 'error' in result\n            assert \"WebSocket error\" in result['error']\n\n    @pytest.mark.asyncio\n    async def test_process_audio_file_wav(self, stt_model):\n        \"\"\"Test process_audio_file with WAV format\"\"\"\n        wav_data = b\"fake_wav_data\" * 100\n        \n        # Mock aiofiles.open as an async context manager\n        mock_file = AsyncMock()\n        mock_file.read = AsyncMock(return_value=wav_data)\n        mock_file.__aenter__ = AsyncMock(return_value=mock_file)\n        mock_file.__aexit__ = AsyncMock(return_value=None)\n        \n        # Mock read_wav_info to return expected values\n        mock_wav_info = (1, 2, 16000, 1600, b'\\x00\\x00' * 1600)  # channels, sampwidth, framerate, nframes, wav_bytes\n        \n        with patch.object(aiofiles, \"open\", return_value=mock_file), \\\n             patch.object(stt_model, 'read_wav_info', return_value=mock_wav_info), \\\n             patch.object(stt_model, 'process_audio_data', return_value={\"result\": \"success\"}) as mock_process:\n            \n            stt_model.config.format = \"wav\"\n            result = await stt_model.process_audio_file(\"/test/file.wav\")\n            \n            assert result == {\"result\": \"success\"}\n            mock_process.assert_called_once()\n            \n            # Verify that the segment size was calculated correctly for WAV\n            args, kwargs = mock_process.call_args\n            audio_data, segment_size = args\n            # size_per_sec = nchannels * sampwidth * framerate = 1 * 2 * 16000 = 32000\n            # segment_size = int(32000 * seg_duration / 1000) = int(32000 * 10 / 1000) = 320\n            assert segment_size == 320\n            # Verify that raw audio bytes were passed (do not enforce exact content under mocked aiofiles)\n            assert isinstance(audio_data, (bytes, bytearray))\n            assert len(audio_data) > 0\n\n    @pytest.mark.asyncio\n    async def test_process_audio_file_pcm(self, stt_model):\n        \"\"\"Test process_audio_file with PCM format\"\"\"\n        pcm_data = b'\\x00\\x01' * 1600  # 1600 samples = 100ms at 16kHz\n        \n        mock_file = AsyncMock()\n        mock_file.read = AsyncMock(return_value=pcm_data)\n        mock_file.__aenter__ = AsyncMock(return_value=mock_file)\n        mock_file.__aexit__ = AsyncMock(return_value=None)\n        \n        with patch.object(aiofiles, \"open\", return_value=mock_file), \\\n             patch.object(stt_model, 'process_audio_data', return_value={\"result\": \"success\"}) as mock_process:\n            \n            stt_model.config.format = \"pcm\"\n            result = await stt_model.process_audio_file(\"/test/file.pcm\")\n            \n            assert result == {\"result\": \"success\"}\n            # Check that segment size was calculated correctly for PCM\n            expected_segment_size = int(16000 * 2 * 1 * 10 / 500)  # rate * bytes_per_sample * channels * duration / 500\n            mock_process.assert_called_once()\n            args, kwargs = mock_process.call_args\n            audio_data_arg, seg_size_arg = args\n            assert isinstance(audio_data_arg, (bytes, bytearray))\n            assert len(audio_data_arg) > 0\n            assert seg_size_arg == expected_segment_size\n\n    @pytest.mark.asyncio\n    async def test_process_audio_file_mp3(self, stt_model):\n        \"\"\"Test process_audio_file with MP3 format\"\"\"\n        mp3_data = b\"fake_mp3_data\" * 100\n        \n        mock_file = AsyncMock()\n        mock_file.read = AsyncMock(return_value=mp3_data)\n        mock_file.__aenter__ = AsyncMock(return_value=mock_file)\n        mock_file.__aexit__ = AsyncMock(return_value=None)\n        \n        with patch.object(aiofiles, \"open\", return_value=mock_file), \\\n             patch.object(stt_model, 'process_audio_data', return_value={\"result\": \"success\"}) as mock_process:\n            \n            stt_model.config.format = \"mp3\"\n            result = await stt_model.process_audio_file(\"/test/file.mp3\")\n            \n            assert result == {\"result\": \"success\"}\n            mock_process.assert_called_once()\n            args, kwargs = mock_process.call_args\n            audio_data_arg, seg_size_arg = args\n            assert isinstance(audio_data_arg, (bytes, bytearray))\n            assert len(audio_data_arg) > 0\n            assert seg_size_arg == stt_model.config.mp3_seg_size\n\n    @pytest.mark.asyncio\n    async def test_process_audio_file_unsupported_format(self, stt_model):\n        \"\"\"Test process_audio_file with unsupported format\"\"\"\n        mock_file = AsyncMock()\n        mock_file.read = AsyncMock(return_value=b\"data\")\n        mock_file.__aenter__ = AsyncMock(return_value=mock_file)\n        mock_file.__aexit__ = AsyncMock(return_value=None)\n        \n        with patch.object(aiofiles, \"open\", return_value=mock_file):\n            stt_model.config.format = \"unsupported\"\n            \n            with pytest.raises(Exception, match=\"Unsupported format\"):\n                await stt_model.process_audio_file(\"/test/file.unsupported\")\n\n    @pytest.mark.asyncio\n    async def test_start_streaming_session(self, stt_model):\n        \"\"\"Test start_streaming_session method\"\"\"\n        mock_ws_client = AsyncMock()\n        \n        with patch.object(stt_model, 'process_streaming_audio', return_value=None) as mock_process:\n            await stt_model.start_streaming_session(mock_ws_client)\n            \n            mock_process.assert_called_once()\n            # Verify segment size calculation\n            expected_segment_size = int(16000 * 16 * 1 / 8 * 0.1)  # 100ms chunk\n            args, _ = mock_process.call_args\n            assert args[0] == mock_ws_client\n            assert args[1] == expected_segment_size\n\n    @pytest.mark.asyncio\n    async def test_process_streaming_audio_client_disconnect(self, stt_model):\n        \"\"\"Test process_streaming_audio when client disconnects\"\"\"\n        mock_ws_client = AsyncMock()\n        mock_ws_client.send_json = AsyncMock(side_effect=Exception(\"Client disconnected\"))\n        \n        class DummyWSServer:\n            async def __aenter__(self):\n                return self\n            async def __aexit__(self, exc_type, exc, tb):\n                return None\n            async def send(self, data):\n                return None\n            async def recv(self):\n                return b\"init\"\n        mock_ws_server = DummyWSServer()\n        \n        with patch.object(websockets, \"connect\", return_value=mock_ws_server):\n            # Should not raise exception, should handle gracefully\n            await stt_model.process_streaming_audio(mock_ws_client, 1024)\n\n    @pytest.mark.asyncio\n    async def test_recognize_file(self, stt_model):\n        \"\"\"Test recognize_file method\"\"\"\n        expected_result = {\"result\": {\"text\": \"test transcription\"}}\n        \n        with patch.object(stt_model, 'process_audio_file', return_value=expected_result) as mock_process:\n            result = await stt_model.recognize_file(\"/test/audio.wav\")\n            \n            assert result == expected_result\n            mock_process.assert_called_once_with(\"/test/audio.wav\")\n\n    @pytest.mark.asyncio\n    async def test_check_connectivity_success(self, stt_model):\n        \"\"\"Test check_connectivity with successful connection\"\"\"\n        success_result = {\n            'payload_msg': {\n                'result': {'text': 'test'},\n                'status': 'complete'\n            }\n        }\n        \n        with patch.object(stt_model, 'process_audio_file', return_value=success_result):\n            result = await stt_model.check_connectivity()\n            \n            assert result is True\n\n    @pytest.mark.asyncio\n    async def test_check_connectivity_failure(self, stt_model):\n        \"\"\"Test check_connectivity with connection failure\"\"\"\n        error_result = {'error': 'Connection failed'}\n        \n        with patch.object(stt_model, 'process_audio_file', return_value=error_result):\n            result = await stt_model.check_connectivity()\n            \n            assert result is False\n\n    @pytest.mark.asyncio\n    async def test_check_connectivity_exception(self, stt_model):\n        \"\"\"Test check_connectivity with exception\"\"\"\n        with patch.object(stt_model, 'process_audio_file', side_effect=Exception(\"Network error\")):\n            result = await stt_model.check_connectivity()\n            \n            assert result is False\n\n    def test_is_stt_result_successful_valid_result(self, stt_model):\n        \"\"\"Test _is_stt_result_successful with valid result\"\"\"\n        valid_result = {\n            'payload_msg': {\n                'result': {'text': 'Hello world'}\n            }\n        }\n        \n        assert stt_model._is_stt_result_successful(valid_result) is True\n\n    def test_is_stt_result_successful_error_result(self, stt_model):\n        \"\"\"Test _is_stt_result_successful with error result\"\"\"\n        error_result = {'error': 'Connection failed'}\n        \n        assert stt_model._is_stt_result_successful(error_result) is False\n\n    def test_is_stt_result_successful_error_code(self, stt_model):\n        \"\"\"Test _is_stt_result_successful with error code\"\"\"\n        error_result = {'code': 45000081}\n        \n        assert stt_model._is_stt_result_successful(error_result) is False\n\n    def test_is_stt_result_successful_empty_result(self, stt_model):\n        \"\"\"Test _is_stt_result_successful with empty result\"\"\"\n        # Empty dict is considered unsuccessful by current implementation\n        assert stt_model._is_stt_result_successful({}) is False\n        assert stt_model._is_stt_result_successful(None) is False\n        assert stt_model._is_stt_result_successful(\"invalid\") is False\n\n    def test_extract_stt_error_message_direct_error(self, stt_model):\n        \"\"\"Test _extract_stt_error_message with direct error\"\"\"\n        error_result = {'error': 'Direct error message'}\n        \n        message = stt_model._extract_stt_error_message(error_result)\n        assert message == 'Direct error message'\n\n    def test_extract_stt_error_message_error_code(self, stt_model):\n        \"\"\"Test _extract_stt_error_message with error code\"\"\"\n        error_result = {\n            'code': 45000081,\n            'payload_msg': {'error': 'Detailed error'}\n        }\n        \n        message = stt_model._extract_stt_error_message(error_result)\n        assert \"STT service error code: 45000081\" in message\n        assert \"Detailed error\" in message\n\n    def test_extract_stt_error_message_nested_error(self, stt_model):\n        \"\"\"Test _extract_stt_error_message with nested error\"\"\"\n        error_result = {\n            'payload_msg': {'error': 'Nested error message'}\n        }\n        \n        message = stt_model._extract_stt_error_message(error_result)\n        assert message == 'Nested error message'\n\n    def test_extract_stt_error_message_unknown_error(self, stt_model):\n        \"\"\"Test _extract_stt_error_message with unknown error\"\"\"\n        error_result = {'unknown': 'value'}\n        \n        message = stt_model._extract_stt_error_message(error_result)\n        assert \"Unknown error in result\" in message\n\n\nclass TestAudioType:\n    \"\"\"Test AudioType enum\"\"\"\n    \n    def test_audio_type_values(self):\n        \"\"\"Test AudioType enum values\"\"\"\n        assert AudioType.LOCAL.value == 1\n        assert AudioType.STREAM.value == 2\n\n\nclass TestProcessAudioItem:\n    \"\"\"Test process_audio_item function\"\"\"\n    \n    @pytest.mark.asyncio\n    async def test_process_audio_item_success(self):\n        \"\"\"Test process_audio_item with successful processing\"\"\"\n        config = STTConfig(appid=\"test\", token=\"test\")\n        audio_item = {\"id\": \"test_id\", \"path\": \"/test/audio.wav\"}\n        test_voice_path = \"/test/voice.wav\"\n        \n        expected_result = {\"result\": {\"text\": \"test transcription\"}}\n        \n        # Mock aiofiles.open to return a proper async context manager\n        mock_file = AsyncMock()\n        mock_file.read = AsyncMock(return_value=b\"fake_audio_data\")\n        mock_file.__aenter__ = AsyncMock(return_value=mock_file)\n        mock_file.__aexit__ = AsyncMock(return_value=None)\n        \n        with patch.object(aiofiles, \"open\", return_value=mock_file), \\\n             patch.object(STTModel, 'process_audio_data', return_value=expected_result) as mock_process:\n            \n            result = await process_audio_item(audio_item, config, test_voice_path)\n            \n            assert result[\"id\"] == \"test_id\"\n            assert result[\"path\"] == \"/test/audio.wav\"\n            assert result[\"result\"] == expected_result\n\n    @pytest.mark.asyncio\n    async def test_process_audio_item_missing_keys(self):\n        \"\"\"Test process_audio_item with missing required keys\"\"\"\n        config = STTConfig(appid=\"test\", token=\"test\")\n        test_voice_path = \"/test/voice.wav\"\n        \n        # Test missing 'id' key\n        with pytest.raises(AssertionError):\n            await process_audio_item({\"path\": \"/test/audio.wav\"}, config, test_voice_path)\n        \n        # Test missing 'path' key\n        with pytest.raises(AssertionError):\n            await process_audio_item({\"id\": \"test_id\"}, config, test_voice_path)\n\n\nclass TestConstants:\n    \"\"\"Test module constants\"\"\"\n    \n    def test_protocol_constants(self):\n        \"\"\"Test protocol constants are defined correctly\"\"\"\n        assert PROTOCOL_VERSION == 0b0001\n        assert DEFAULT_HEADER_SIZE == 0b0001\n        \n    def test_message_type_constants(self):\n        \"\"\"Test message type constants\"\"\"\n        assert CLIENT_FULL_REQUEST == 0b0001\n        assert CLIENT_AUDIO_ONLY_REQUEST == 0b0010\n        assert SERVER_FULL_RESPONSE == 0b1001\n        assert SERVER_ACK == 0b1011\n        assert SERVER_ERROR_RESPONSE == 0b1111\n        \n    def test_message_flags_constants(self):\n        \"\"\"Test message type specific flags\"\"\"\n        assert NO_SEQUENCE == 0b0000\n        assert POS_SEQUENCE == 0b0001\n        assert NEG_SEQUENCE == 0b0010\n        assert NEG_WITH_SEQUENCE == 0b0011\n        \n    def test_serialization_constants(self):\n        \"\"\"Test serialization constants\"\"\"\n        assert JSON == 0b0001\n        \n    def test_compression_constants(self):\n        \"\"\"Test compression constants\"\"\"\n        assert NO_COMPRESSION == 0b0000\n        assert GZIP == 0b0001"
  },
  {
    "path": "test/sdk/core/models/test_tts_model.py",
    "content": "import pytest\nimport gzip\nimport json\nimport io\nimport uuid\nfrom unittest.mock import AsyncMock, MagicMock, patch\nfrom typing import Dict, Any\n\n# Mock websockets before importing the module\nmock_websockets = MagicMock()\nmock_websockets.connect = AsyncMock()\n\nmodule_mocks = {\n    \"websockets\": mock_websockets,\n}\n\nwith patch.dict(\"sys.modules\", module_mocks):\n    from sdk.nexent.core.models.tts_model import TTSModel, TTSConfig\n\n\nclass TestTTSConfig:\n    \"\"\"Test TTSConfig data model\"\"\"\n    \n    def test_tts_config_required_fields(self):\n        \"\"\"Test TTSConfig with required fields\"\"\"\n        config = TTSConfig(\n            appid=\"test_app\",\n            token=\"test_token\",\n            cluster=\"test_cluster\",\n            voice_type=\"test_voice\",\n            speed_ratio=1.0\n        )\n        \n        assert config.appid == \"test_app\"\n        assert config.token == \"test_token\"\n        assert config.cluster == \"test_cluster\"\n        assert config.voice_type == \"test_voice\"\n        assert config.speed_ratio == 1.0\n        assert config.host == \"openspeech.bytedance.com\"\n\n    def test_tts_config_custom_host(self):\n        \"\"\"Test TTSConfig with custom host\"\"\"\n        config = TTSConfig(\n            appid=\"test_app\",\n            token=\"test_token\",\n            cluster=\"test_cluster\",\n            voice_type=\"test_voice\",\n            speed_ratio=1.5,\n            host=\"custom.example.com\"\n        )\n        \n        assert config.host == \"custom.example.com\"\n        assert config.speed_ratio == 1.5\n\n    def test_tts_config_api_url_property(self):\n        \"\"\"Test api_url property generates correct URL\"\"\"\n        config = TTSConfig(\n            appid=\"test_app\",\n            token=\"test_token\",\n            cluster=\"test_cluster\",\n            voice_type=\"test_voice\",\n            speed_ratio=1.0\n        )\n        \n        expected_url = \"wss://openspeech.bytedance.com/api/v1/tts/ws_binary\"\n        assert config.api_url == expected_url\n\n    def test_tts_config_api_url_custom_host(self):\n        \"\"\"Test api_url property with custom host\"\"\"\n        config = TTSConfig(\n            appid=\"test_app\",\n            token=\"test_token\",\n            cluster=\"test_cluster\",\n            voice_type=\"test_voice\",\n            speed_ratio=1.0,\n            host=\"custom.example.com\"\n        )\n        \n        expected_url = \"wss://custom.example.com/api/v1/tts/ws_binary\"\n        assert config.api_url == expected_url\n\n\nclass TestTTSModel:\n    \"\"\"Test TTSModel class\"\"\"\n\n    @pytest.fixture\n    def tts_config(self):\n        \"\"\"Create a test TTS configuration\"\"\"\n        return TTSConfig(\n            appid=\"test_app\",\n            token=\"test_token\",\n            cluster=\"test_cluster\",\n            voice_type=\"zh_female_xiaobei\",\n            speed_ratio=1.0\n        )\n\n    @pytest.fixture\n    def tts_model(self, tts_config):\n        \"\"\"Create a test TTS model instance\"\"\"\n        return TTSModel(tts_config)\n\n    @pytest.fixture\n    def mock_tts_ws_connect(self, monkeypatch):\n        \"\"\"Fixture to mock websockets.connect as an async context manager and capture call args.\"\"\"\n        def _apply(fake_ws):\n            fake_connect_cm = AsyncMock()\n            # Ensure async context manager methods\n            fake_connect_cm.__aenter__ = AsyncMock(return_value=fake_ws)\n            fake_connect_cm.__aexit__ = AsyncMock(return_value=None)\n\n            # Recorder for connect() arguments\n            class Recorder:\n                def __init__(self):\n                    self.call_args = None\n                    self.call_kwargs = None\n\n            recorder = Recorder()\n\n            def connect_spy(*args, **kwargs):\n                recorder.call_args = args\n                recorder.call_kwargs = kwargs\n                return fake_connect_cm\n\n            # Patch the connect function in the tts_model module namespace\n            monkeypatch.setattr(\n                \"sdk.nexent.core.models.tts_model.websockets.connect\",\n                connect_spy,\n                raising=True,\n            )\n\n            return {\"fake_connect\": fake_connect_cm, \"recorder\": recorder}\n        return _apply\n\n    def test_init(self, tts_config):\n        \"\"\"Test TTSModel initialization\"\"\"\n        model = TTSModel(tts_config)\n        \n        assert model.config == tts_config\n        assert model._request_template is not None\n        assert model._request_template[\"app\"][\"appid\"] == \"test_app\"\n        assert model._request_template[\"app\"][\"token\"] == \"test_token\"\n        assert model._request_template[\"app\"][\"cluster\"] == \"test_cluster\"\n        assert model._request_template[\"audio\"][\"voice_type\"] == \"zh_female_xiaobei\"\n        assert model._request_template[\"audio\"][\"speed_ratio\"] == 1.0\n\n    def test_default_header_constant(self):\n        \"\"\"Test DEFAULT_HEADER constant\"\"\"\n        assert TTSModel.DEFAULT_HEADER == bytearray(b'\\x11\\x10\\x11\\x00')\n\n    def test_message_constants(self):\n        \"\"\"Test message type constants\"\"\"\n        assert TTSModel.MESSAGE_TYPES[11] == \"audio-only server response\"\n        assert TTSModel.MESSAGE_TYPES[12] == \"frontend server response\"\n        assert TTSModel.MESSAGE_TYPES[15] == \"error message from server\"\n\n    def test_prepare_request_default_operation(self, tts_model):\n        \"\"\"Test _prepare_request with default operation\"\"\"\n        text = \"Hello world\"\n        \n        with patch('uuid.uuid4', return_value=MagicMock()), \\\n             patch('json.dumps') as mock_json_dumps, \\\n             patch('gzip.compress') as mock_gzip_compress:\n            \n            mock_json_dumps.return_value = '{\"test\": \"data\"}'\n            mock_gzip_compress.return_value = b'compressed_data'\n            \n            result = tts_model._prepare_request(text)\n            \n            # Verify the result is bytes\n            assert isinstance(result, bytes)\n            \n            # Verify JSON dumps was called with proper structure\n            call_args = mock_json_dumps.call_args[0][0]\n            assert call_args[\"request\"][\"text\"] == text\n            assert call_args[\"request\"][\"operation\"] == \"submit\"\n            assert call_args[\"app\"][\"appid\"] == \"test_app\"\n\n    def test_prepare_request_custom_operation(self, tts_model):\n        \"\"\"Test _prepare_request with custom operation\"\"\"\n        text = \"Test text\"\n        operation = \"query\"\n        \n        with patch('uuid.uuid4', return_value=MagicMock()), \\\n             patch('json.dumps') as mock_json_dumps, \\\n             patch('gzip.compress') as mock_gzip_compress:\n            \n            mock_json_dumps.return_value = '{\"test\": \"data\"}'\n            mock_gzip_compress.return_value = b'compressed_data'\n            \n            result = tts_model._prepare_request(text, operation)\n            \n            # Verify JSON dumps was called with proper operation\n            call_args = mock_json_dumps.call_args[0][0]\n            assert call_args[\"request\"][\"operation\"] == operation\n\n    def test_parse_response_audio_only_no_sequence(self, tts_model):\n        \"\"\"Test _parse_response with audio-only response, no sequence\"\"\"\n        # Create mock response: header + payload with no sequence\n        response = bytearray()\n        response.extend(b'\\x11')  # protocol version (1) + header size (1)\n        response.extend(b'\\xb0')  # message type (11 = 0xb) + flags (0)\n        response.extend(b'\\x00')  # serialization + compression\n        response.extend(b'\\x00')  # reserved\n        # No payload for this test case\n        \n        is_done, audio_chunk = tts_model._parse_response(bytes(response))\n        \n        assert is_done is False\n        assert audio_chunk is None\n\n    def test_parse_response_audio_only_with_sequence(self, tts_model):\n        \"\"\"Test _parse_response with audio-only response with sequence\"\"\"\n        # Create mock response with audio data\n        audio_data = b\"fake_audio_data\"\n        sequence_number = 123\n        \n        response = bytearray()\n        response.extend(b'\\x11')  # protocol version (1) + header size (1)\n        response.extend(b'\\xb1')  # message type (11 = 0xb) + flags (1 = has sequence)\n        response.extend(b'\\x00')  # serialization + compression\n        response.extend(b'\\x00')  # reserved\n        response.extend(sequence_number.to_bytes(4, 'big', signed=True))  # sequence\n        response.extend(len(audio_data).to_bytes(4, 'big', signed=False))  # payload size\n        response.extend(audio_data)  # audio data\n        \n        buffer = io.BytesIO()\n        is_done, audio_chunk = tts_model._parse_response(bytes(response), buffer)\n        \n        assert is_done is False\n        assert audio_chunk == audio_data\n        assert buffer.getvalue() == audio_data\n\n    def test_parse_response_audio_only_last_chunk(self, tts_model):\n        \"\"\"Test _parse_response with last audio chunk (negative sequence)\"\"\"\n        audio_data = b\"last_audio_chunk\"\n        sequence_number = -123  # Negative indicates last chunk\n        \n        response = bytearray()\n        response.extend(b'\\x11')  # protocol version (1) + header size (1)\n        response.extend(b'\\xb1')  # message type (11 = 0xb) + flags (1 = has sequence)\n        response.extend(b'\\x00')  # serialization + compression\n        response.extend(b'\\x00')  # reserved\n        response.extend(sequence_number.to_bytes(4, 'big', signed=True))  # negative sequence\n        response.extend(len(audio_data).to_bytes(4, 'big', signed=False))  # payload size\n        response.extend(audio_data)  # audio data\n        \n        is_done, audio_chunk = tts_model._parse_response(bytes(response))\n        \n        assert is_done is True\n        assert audio_chunk == audio_data\n\n    def test_parse_response_error_message(self, tts_model):\n        \"\"\"Test _parse_response with error message\"\"\"\n        error_code = 40000001\n        error_message = \"Invalid request\"\n        error_data = error_message.encode('utf-8')\n        \n        response = bytearray()\n        response.extend(b'\\x11')  # protocol version (1) + header size (1)\n        response.extend(b'\\xf0')  # message type (15 = 0xf) + flags (0)\n        response.extend(b'\\x00')  # serialization + compression (no compression)\n        response.extend(b'\\x00')  # reserved\n        response.extend(error_code.to_bytes(4, 'big', signed=False))  # error code\n        response.extend(len(error_data).to_bytes(4, 'big', signed=False))  # payload size\n        response.extend(error_data)  # error message\n        \n        with pytest.raises(Exception) as exc_info:\n            tts_model._parse_response(bytes(response))\n        \n        assert f\"TTS Error {error_code}: {error_message}\" in str(exc_info.value)\n\n    def test_parse_response_error_message_compressed(self, tts_model):\n        \"\"\"Test _parse_response with compressed error message\"\"\"\n        error_code = 40000001\n        error_message = \"Compressed error message\"\n        error_data = gzip.compress(error_message.encode('utf-8'))\n        \n        response = bytearray()\n        response.extend(b'\\x11')  # protocol version (1) + header size (1)\n        response.extend(b'\\xf0')  # message type (15 = 0xf) + flags (0)\n        response.extend(b'\\x01')  # serialization + compression (gzip = 1)\n        response.extend(b'\\x00')  # reserved\n        response.extend(error_code.to_bytes(4, 'big', signed=False))  # error code\n        response.extend(len(error_data).to_bytes(4, 'big', signed=False))  # payload size\n        response.extend(error_data)  # compressed error message\n        \n        with pytest.raises(Exception) as exc_info:\n            tts_model._parse_response(bytes(response))\n        \n        assert f\"TTS Error {error_code}: {error_message}\" in str(exc_info.value)\n\n    @pytest.mark.asyncio\n    async def test_generate_speech_non_streaming(self, tts_model, mock_tts_ws_connect):\n        \"\"\"Test generate_speech with non-streaming mode\"\"\"\n        pass\n\n    @pytest.mark.asyncio\n    async def test_generate_speech_streaming(self, tts_model, mock_tts_ws_connect):\n        \"\"\"Test generate_speech with streaming mode\"\"\"\n        pass\n\n    def test_parse_query_response(self, tts_model):\n        \"\"\"Test _parse_query_response method\"\"\"\n        mock_response = b\"mock_query_response_data\"\n        \n        result = tts_model._parse_query_response(mock_response)\n        \n        # Current implementation returns default status\n        assert result == {\"status\": \"unknown\"}\n\n    @pytest.mark.asyncio\n    async def test_check_connectivity_success(self, tts_model):\n        \"\"\"Test check_connectivity with successful connection\"\"\"\n        audio_data = b\"test_audio_data\"\n        \n        with patch.object(tts_model, 'generate_speech', return_value=audio_data) as mock_generate:\n            result = await tts_model.check_connectivity()\n            \n            assert result is True\n            mock_generate.assert_called_once_with(\"Hello\", stream=False)\n\n    @pytest.mark.asyncio\n    async def test_check_connectivity_failure_exception(self, tts_model):\n        \"\"\"Test check_connectivity with exception\"\"\"\n        with patch.object(tts_model, 'generate_speech', side_effect=Exception(\"Connection error\")):\n            result = await tts_model.check_connectivity()\n            \n            assert result is False\n\n    @pytest.mark.asyncio\n    async def test_check_connectivity_failure_empty_response(self, tts_model):\n        \"\"\"Test check_connectivity with empty audio response\"\"\"\n        with patch.object(tts_model, 'generate_speech', return_value=b\"\"):\n            result = await tts_model.check_connectivity()\n            \n            assert result is False\n\n    @pytest.mark.asyncio\n    async def test_check_connectivity_failure_invalid_response(self, tts_model):\n        \"\"\"Test check_connectivity with invalid response type\"\"\"\n        with patch.object(tts_model, 'generate_speech', return_value=\"invalid_type\"):\n            result = await tts_model.check_connectivity()\n            \n            assert result is False\n\n    def test_request_template_structure(self, tts_model):\n        \"\"\"Test that request template has correct structure\"\"\"\n        template = tts_model._request_template\n        \n        # Check app section\n        assert \"app\" in template\n        assert \"appid\" in template[\"app\"]\n        assert \"token\" in template[\"app\"]\n        assert \"cluster\" in template[\"app\"]\n        \n        # Check user section\n        assert \"user\" in template\n        assert \"uid\" in template[\"user\"]\n        \n        # Check audio section\n        assert \"audio\" in template\n        assert \"voice_type\" in template[\"audio\"]\n        assert \"encoding\" in template[\"audio\"]\n        assert \"speed_ratio\" in template[\"audio\"]\n        assert \"volume_ratio\" in template[\"audio\"]\n        assert \"pitch_ratio\" in template[\"audio\"]\n        \n        # Check request section\n        assert \"request\" in template\n        assert \"reqid\" in template[\"request\"]\n        assert \"text\" in template[\"request\"]\n        assert \"text_type\" in template[\"request\"]\n        assert \"operation\" in template[\"request\"]\n\n    def test_request_template_values(self, tts_config):\n        \"\"\"Test that request template has correct values from config\"\"\"\n        model = TTSModel(tts_config)\n        template = model._request_template\n        \n        assert template[\"app\"][\"appid\"] == tts_config.appid\n        assert template[\"app\"][\"token\"] == tts_config.token\n        assert template[\"app\"][\"cluster\"] == tts_config.cluster\n        assert template[\"audio\"][\"voice_type\"] == tts_config.voice_type\n        assert template[\"audio\"][\"speed_ratio\"] == tts_config.speed_ratio\n        assert template[\"audio\"][\"encoding\"] == \"mp3\"\n        assert template[\"audio\"][\"volume_ratio\"] == 1.0\n        assert template[\"audio\"][\"pitch_ratio\"] == 1.0\n        assert template[\"request\"][\"text_type\"] == \"plain\"\n\n    def test_prepare_request_uuid_generation(self, tts_model):\n        \"\"\"Test that _prepare_request generates unique request IDs\"\"\"\n        text = \"Test text\"\n        \n        with patch('uuid.uuid4') as mock_uuid:\n            mock_uuid.return_value = MagicMock()\n            mock_uuid.return_value.__str__ = MagicMock(return_value=\"test-uuid-123\")\n            \n            with patch('json.dumps', wraps=json.dumps) as mock_json_dumps, \\\n                 patch('gzip.compress', return_value=b'compressed'):\n                \n                tts_model._prepare_request(text)\n                \n                # Verify uuid was called and used in request\n                mock_uuid.assert_called_once()\n                call_args = mock_json_dumps.call_args[0][0]\n                assert call_args[\"request\"][\"reqid\"] == \"test-uuid-123\"\n\n    def test_prepare_request_binary_structure(self, tts_model):\n        \"\"\"Test that _prepare_request creates correct binary structure\"\"\"\n        text = \"Test\"\n        \n        with patch('uuid.uuid4'), \\\n             patch('json.dumps', return_value='{\"test\": \"data\"}'), \\\n             patch('gzip.compress', return_value=b'compressed_payload'):\n            \n            result = tts_model._prepare_request(text)\n            \n            # Should start with default header\n            assert result[:4] == bytes(TTSModel.DEFAULT_HEADER)\n            \n            # Next 4 bytes should be payload length\n            payload_length = int.from_bytes(result[4:8], 'big')\n            assert payload_length == len(b'compressed_payload')\n            \n            # Rest should be the compressed payload\n            assert result[8:] == b'compressed_payload'"
  },
  {
    "path": "test/sdk/core/tools/test_analyze_image_tool.py",
    "content": "import json\nfrom types import SimpleNamespace\nfrom unittest.mock import MagicMock, patch\n\nimport pytest\n\nfrom sdk.nexent.core.tools import analyze_image_tool\nfrom sdk.nexent.core.tools.analyze_image_tool import AnalyzeImageTool\nfrom sdk.nexent.core.utils.observer import MessageObserver, ProcessType\n\n\n@pytest.fixture\ndef mock_storage_client():\n    class DummyStorage:\n        pass\n\n    return DummyStorage()\n\n\n@pytest.fixture\ndef mock_vlm_model():\n    return MagicMock()\n\n\n@pytest.fixture\ndef mock_prompt_loader(monkeypatch):\n    calls = []\n\n    def _fake_get_prompt(template_type, language=None, **_):\n        calls.append((template_type, language))\n        return {\"system_prompt\": \"Describe {{ query }}\"}\n\n    monkeypatch.setattr(\n        analyze_image_tool,\n        \"get_prompt_template\",\n        _fake_get_prompt,\n    )\n    return calls\n\n\n@pytest.fixture\ndef observer_en():\n    observer = MagicMock(spec=MessageObserver)\n    observer.lang = \"en\"\n    return observer\n\n\n@pytest.fixture\ndef observer_zh():\n    observer = MagicMock(spec=MessageObserver)\n    observer.lang = \"zh\"\n    return observer\n\n\n@pytest.fixture\ndef tool(observer_en, mock_vlm_model, mock_storage_client):\n    return AnalyzeImageTool(\n        observer=observer_en,\n        vlm_model=mock_vlm_model,\n        storage_client=mock_storage_client,\n    )\n\n\nclass TestAnalyzeImageTool:\n    def test_forward_impl_success_with_multiple_images(\n        self, tool, mock_vlm_model, mock_prompt_loader\n    ):\n        mock_vlm_model.analyze_image.side_effect = [\n            SimpleNamespace(content=\"First image analysis\"),\n            SimpleNamespace(content=\"Second image analysis\"),\n        ]\n\n        result = tool._forward_impl([b\"img1\", b\"img2\"], \"What is shown?\")\n\n        assert result == [\"First image analysis\", \"Second image analysis\"]\n        assert mock_vlm_model.analyze_image.call_count == 2\n        for call in mock_vlm_model.analyze_image.call_args_list:\n            assert hasattr(call.kwargs[\"image_input\"], \"read\")\n        assert mock_prompt_loader == [(\"analyze_image\", \"en\")]\n\n    def test_forward_impl_zh_observer_messages(\n        self, observer_zh, mock_vlm_model, mock_storage_client, mock_prompt_loader\n    ):\n        tool = AnalyzeImageTool(\n            observer=observer_zh,\n            vlm_model=mock_vlm_model,\n            storage_client=mock_storage_client,\n        )\n        mock_vlm_model.analyze_image.return_value = SimpleNamespace(\n            content=\"描述\")\n\n        result = tool._forward_impl([b\"img\"], \"问题\")\n\n        assert result == [\"描述\"]\n        assert mock_prompt_loader == [(\"analyze_image\", \"zh\")]\n\n    @pytest.mark.parametrize(\n        \"image_list,error_message\",\n        [\n            (None, \"image_urls cannot be None\"),\n            (\"not-a-list\", \"image_urls must be a list of bytes\"),\n            ([], \"image_urls must contain at least one image\"),\n        ],\n    )\n    def test_forward_impl_validates_inputs(\n        self, tool, image_list, error_message\n    ):\n        with pytest.raises(ValueError, match=error_message):\n            tool._forward_impl(image_list, \"question\")\n\n    def test_forward_impl_wraps_model_errors(\n        self, tool, mock_vlm_model, mock_prompt_loader\n    ):\n        mock_vlm_model.analyze_image.side_effect = Exception(\"model failed\")\n\n        with pytest.raises(\n            Exception,\n            match=\"Error analyzing image: Failed to analyze image 1: model failed\",\n        ):\n            tool._forward_impl([b\"img\"], \"question\")\n\n        mock_vlm_model.analyze_image.assert_called_once()\n\n\nclass TestAnalyzeImageToolEdgeCases:\n    \"\"\"Test edge cases and additional scenarios for AnalyzeImageTool.\"\"\"\n\n    def test_forward_impl_vlm_model_none(self, observer_en, mock_storage_client):\n        \"\"\"Test that exception is raised when VLM model is None.\"\"\"\n        tool = AnalyzeImageTool(\n            observer=observer_en,\n            vlm_model=None,\n            storage_client=mock_storage_client,\n        )\n\n        with pytest.raises(Exception) as exc_info:\n            tool._forward_impl([b\"img\"], \"question\")\n\n        assert \"Vision Language Model (VLM) is not configured\" in str(\n            exc_info.value)\n\n    def test_forward_impl_vlm_model_none_chinese(self, observer_zh, mock_storage_client):\n        \"\"\"Test that exception is raised in Chinese when VLM model is None and observer is Chinese.\"\"\"\n        tool = AnalyzeImageTool(\n            observer=observer_zh,\n            vlm_model=None,\n            storage_client=mock_storage_client,\n        )\n\n        with pytest.raises(Exception) as exc_info:\n            tool._forward_impl([b\"img\"], \"问题\")\n\n        assert \"视觉语言模型(VLM)未配置\" in str(exc_info.value)\n\n    def test_forward_impl_observer_none_uses_english(self, mock_vlm_model, mock_storage_client):\n        \"\"\"Test that English is used when observer is None.\"\"\"\n        tool = AnalyzeImageTool(\n            observer=None,\n            vlm_model=mock_vlm_model,\n            storage_client=mock_storage_client,\n        )\n        mock_vlm_model.analyze_image.return_value = SimpleNamespace(\n            content=\"Analysis result\")\n\n        result = tool._forward_impl([b\"img\"], \"question\")\n\n        assert result == [\"Analysis result\"]\n\n    def test_forward_impl_single_image_success(self, tool, mock_vlm_model, mock_prompt_loader):\n        \"\"\"Test successful analysis with a single image.\"\"\"\n        mock_vlm_model.analyze_image.return_value = SimpleNamespace(\n            content=\"Single image description\")\n\n        result = tool._forward_impl(\n            [b\"single_image\"], \"What is in this image?\")\n\n        assert result == [\"Single image description\"]\n        mock_vlm_model.analyze_image.assert_called_once()\n\n    def test_is_chinese_property_english(self, observer_en, mock_vlm_model, mock_storage_client):\n        \"\"\"Test that _is_chinese is False when observer lang is English.\"\"\"\n        tool = AnalyzeImageTool(\n            observer=observer_en,\n            vlm_model=mock_vlm_model,\n            storage_client=mock_storage_client,\n        )\n\n        assert tool._is_chinese is False\n\n    def test_is_chinese_property_chinese(self, observer_zh, mock_vlm_model, mock_storage_client):\n        \"\"\"Test that _is_chinese is True when observer lang is Chinese.\"\"\"\n        tool = AnalyzeImageTool(\n            observer=observer_zh,\n            vlm_model=mock_vlm_model,\n            storage_client=mock_storage_client,\n        )\n\n        assert tool._is_chinese is True\n\n    def test_is_chinese_property_no_observer(self, mock_vlm_model, mock_storage_client):\n        \"\"\"Test that _is_chinese is False when observer is None.\"\"\"\n        tool = AnalyzeImageTool(\n            observer=None,\n            vlm_model=mock_vlm_model,\n            storage_client=mock_storage_client,\n        )\n\n        assert tool._is_chinese is False\n\n    def test_running_prompt_properties(self, observer_en, observer_zh, mock_vlm_model, mock_storage_client):\n        \"\"\"Test that running prompt properties are set correctly.\"\"\"\n        tool_en = AnalyzeImageTool(\n            observer=observer_en,\n            vlm_model=mock_vlm_model,\n            storage_client=mock_storage_client,\n        )\n        tool_zh = AnalyzeImageTool(\n            observer=observer_zh,\n            vlm_model=mock_vlm_model,\n            storage_client=mock_storage_client,\n        )\n\n        assert tool_en.running_prompt_en == \"Analyzing image...\"\n        assert tool_en.running_prompt_zh == \"正在分析图片...\"\n        assert tool_zh.running_prompt_en == \"Analyzing image...\"\n        assert tool_zh.running_prompt_zh == \"正在分析图片...\"\n\n    def test_load_save_object_manager_created(self, mock_vlm_model, mock_storage_client):\n        \"\"\"Test that LoadSaveObjectManager is created with storage client.\"\"\"\n        with patch('sdk.nexent.core.tools.analyze_image_tool.LoadSaveObjectManager') as mock_manager_class:\n            mock_manager_instance = MagicMock()\n            mock_manager_class.return_value = mock_manager_instance\n            mock_manager_instance.load_object.return_value = lambda x: x\n\n            tool = AnalyzeImageTool(\n                observer=MagicMock(),\n                vlm_model=mock_vlm_model,\n                storage_client=mock_storage_client,\n            )\n\n            mock_manager_class.assert_called_once_with(\n                storage_client=mock_storage_client)\n\n    def test_observer_add_message_called(self, tool, mock_vlm_model, mock_prompt_loader):\n        \"\"\"Test that observer.add_message is called with running prompt.\"\"\"\n        mock_vlm_model.analyze_image.return_value = SimpleNamespace(\n            content=\"Result\")\n\n        tool._forward_impl([b\"img\"], \"question\")\n\n        tool.observer.add_message.assert_called_once()\n        call_args = tool.observer.add_message.call_args\n        assert call_args[0][0] == \"\"  # first arg is empty string\n        assert call_args[0][1] == ProcessType.TOOL\n        assert call_args[0][2] == \"Analyzing image...\"\n\n    def test_observer_add_message_not_called_when_none(self, mock_vlm_model, mock_storage_client):\n        \"\"\"Test that observer.add_message is not called when observer is None.\"\"\"\n        tool = AnalyzeImageTool(\n            observer=None,\n            vlm_model=mock_vlm_model,\n            storage_client=mock_storage_client,\n        )\n        mock_vlm_model.analyze_image.return_value = SimpleNamespace(\n            content=\"Result\")\n\n        # Should not raise any exception\n        result = tool._forward_impl([b\"img\"], \"question\")\n\n        assert result == [\"Result\"]\n        mock_vlm_model.analyze_image.assert_called_once()\n\n    def test_tool_name_and_description(self, tool):\n        \"\"\"Test that tool name and description are set correctly.\"\"\"\n        assert tool.name == \"analyze_image\"\n        assert \"visual language model\" in tool.description.lower()\n        assert \"image\" in tool.description.lower()\n\n    def test_tool_inputs_schema(self, tool):\n        \"\"\"Test that tool inputs schema is correctly defined.\"\"\"\n        assert \"image_urls_list\" in tool.inputs\n        assert \"query\" in tool.inputs\n        assert tool.inputs[\"image_urls_list\"][\"type\"] == \"array\"\n        assert tool.inputs[\"query\"][\"type\"] == \"string\"\n        assert tool.output_type == \"array\"\n\n    def test_tool_category_and_sign(self, tool):\n        \"\"\"Test that tool category and sign are set correctly.\"\"\"\n        from sdk.nexent.core.utils.tools_common_message import ToolCategory, ToolSign\n        assert tool.category == ToolCategory.MULTIMODAL.value\n        assert tool.tool_sign == ToolSign.MULTIMODAL_OPERATION.value\n\n    @pytest.mark.parametrize(\"lang,expected_prompt\", [\n        (\"en\", \"Analyzing image...\"),\n        (\"zh\", \"正在分析图片...\"),\n    ])\n    def test_running_prompt_by_language(self, mock_vlm_model, mock_storage_client, lang, expected_prompt):\n        \"\"\"Test that running prompt is correctly selected based on language.\"\"\"\n        observer = MagicMock(spec=MessageObserver)\n        observer.lang = lang\n\n        tool = AnalyzeImageTool(\n            observer=observer,\n            vlm_model=mock_vlm_model,\n            storage_client=mock_storage_client,\n        )\n\n        mock_vlm_model.analyze_image.return_value = SimpleNamespace(\n            content=\"result\")\n        tool._forward_impl([b\"img\"], \"question\")\n\n        # Get the actual prompt passed to add_message\n        call_args = tool.observer.add_message.call_args[0]\n        assert call_args[2] == expected_prompt\n"
  },
  {
    "path": "test/sdk/core/tools/test_analyze_text_file_tool.py",
    "content": "from unittest.mock import MagicMock, patch\n\nimport pytest\n\nimport sdk.nexent.core.tools.analyze_text_file_tool as module\nfrom sdk.nexent.core.tools.analyze_text_file_tool import AnalyzeTextFileTool, ProcessType\n\n\nclass _NoopLoadSaveObjectManager:\n    \"\"\"Simplified LoadSaveObjectManager replacement for tests.\"\"\"\n\n    def __init__(self, *_, **__):\n        pass\n\n    def load_object(self, *_, **__):\n        def decorator(func):\n            return func\n\n        return decorator\n\n\n@pytest.fixture(autouse=True)\ndef patch_load_save_manager(monkeypatch):\n    monkeypatch.setattr(module, \"LoadSaveObjectManager\",\n                        _NoopLoadSaveObjectManager)\n\n\n@pytest.fixture\ndef llm_model():\n    return MagicMock()\n\n\n@pytest.fixture\ndef observer_zh():\n    obs = MagicMock()\n    obs.lang = \"zh\"\n    return obs\n\n\n@pytest.fixture\ndef observer_en():\n    obs = MagicMock()\n    obs.lang = \"en\"\n    return obs\n\n\n@pytest.fixture\ndef http_client_manager(mocker):\n    \"\"\"Fixture to mock http_client_manager for tests.\"\"\"\n    mock = mocker.patch(\n        \"sdk.nexent.core.tools.analyze_text_file_tool.http_client_manager\"\n    )\n    mock_client = MagicMock()\n    mock.get_sync_client.return_value = mock_client\n    return mock, mock_client\n\n\n@pytest.fixture\ndef tool(http_client_manager, observer_zh, llm_model):\n    \"\"\"Fixture to create AnalyzeTextFileTool instance with mocked HTTP client.\"\"\"\n    mock_manager, mock_client = http_client_manager\n    tool_instance = AnalyzeTextFileTool(\n        storage_client=MagicMock(),\n        observer=observer_zh,\n        data_process_service_url=\"http://data-process\",\n        llm_model=llm_model,\n    )\n    # Store the mock client for tests to use\n    tool_instance._mock_http_client = mock_client\n    return tool_instance\n\n\nclass TestAnalyzeTextFileTool:\n    def test_forward_impl_switches_language(self, observer_en, llm_model, monkeypatch):\n        tool = AnalyzeTextFileTool(\n            storage_client=MagicMock(),\n            observer=observer_en,\n            data_process_service_url=\"http://data-process\",\n            llm_model=llm_model,\n        )\n        tool.process_text_file = MagicMock(return_value=\"text\")\n        tool.analyze_file = MagicMock(return_value=(\"answer\", 0.0))\n\n        result = tool._forward_impl([b\"x\"], \"question\")\n\n        assert result == [\"answer\"]\n        observer_en.add_message.assert_any_call(\"\", ProcessType.TOOL, \"Analyzing file...\")\n\n    @pytest.mark.parametrize(\n        \"payload,error\",\n        [\n            (None, \"file_url_list cannot be None\"),\n            (\"not-a-list\", \"file_url_list must be a list of bytes\"),\n        ],\n    )\n    def test_forward_impl_validates_inputs(self, tool, payload, error):\n        with pytest.raises(ValueError, match=error):\n            tool._forward_impl(payload, \"prompt\")\n\n    def test_forward_impl_raises_when_no_text(self, tool):\n        tool.process_text_file = MagicMock(return_value=\"\")\n\n        with pytest.raises(Exception, match=\"No text content extracted\"):\n            tool._forward_impl([b\"file\"], \"prompt\")\n\n    def test_forward_impl_appends_analysis_exception(self, tool):\n        tool.process_text_file = MagicMock(return_value=\"text\")\n        tool.analyze_file = MagicMock(side_effect=Exception(\"LLM failed\"))\n\n        result = tool._forward_impl([b\"x\"], \"prompt\")\n\n        assert result == [\"LLM failed\"]\n\n    def test_process_text_file_success(self, tool):\n        mock_response = MagicMock(status_code=200)\n        mock_response.json.return_value = {\"text\": \"converted\"}\n        tool._mock_http_client.post.return_value = mock_response\n\n        result = tool.process_text_file(\"doc.txt\", b\"bytes\")\n\n        assert result == \"converted\"\n        tool._mock_http_client.post.assert_called_once()\n\n    def test_process_text_file_http_error_json_detail(self, tool):\n        mock_response = MagicMock(status_code=400)\n        mock_response.headers = {\"content-type\": \"application/json\"}\n        mock_response.json.return_value = {\"detail\": \"bad request\"}\n        tool._mock_http_client.post.return_value = mock_response\n\n        with pytest.raises(Exception, match=\"bad request\"):\n            tool.process_text_file(\"doc.txt\", b\"bytes\")\n\n    def test_process_text_file_http_error_plain_text(self, tool):\n        mock_response = MagicMock(status_code=500)\n        mock_response.headers = {}\n        mock_response.text = \"server exploded\"\n        tool._mock_http_client.post.return_value = mock_response\n\n        with pytest.raises(Exception, match=\"server exploded\"):\n            tool.process_text_file(\"doc.txt\", b\"bytes\")\n\n    def test_analyze_file_uses_prompt_template(self, tool, llm_model, observer_zh, monkeypatch):\n        prompts = {\n            \"system_prompt\": \"System prompt for {{query}}\",\n            \"user_prompt\": \"User prompt\"\n        }\n        monkeypatch.setattr(module, \"get_prompt_template\",\n                            lambda template_type, language: prompts)\n        llm_model.analyze_long_text.return_value = (\n            MagicMock(content=\"analysis\"), 12.5)\n\n        result = tool.analyze_file(\"Summarize\", \"Long text\")\n\n        assert result == (\"analysis\", 12.5)\n        llm_model.analyze_long_text.assert_called_once()\n        kwargs = llm_model.analyze_long_text.call_args.kwargs\n        assert kwargs[\"system_prompt\"] == \"System prompt for Summarize\"\n\n    def test_analyze_file_defaults_to_english(self, tool, llm_model, monkeypatch):\n        tool.observer = None\n        mock_get_template = MagicMock(return_value={\n            \"system_prompt\": \"{{query}}\",\n            \"user_prompt\": \"\",\n        })\n        monkeypatch.setattr(module, \"get_prompt_template\", mock_get_template)\n        llm_model.analyze_long_text.return_value = (\n            MagicMock(content=\"analysis\"), 0)\n\n        result = tool.analyze_file(\"Explain\", \"text\")\n\n        assert result == (\"analysis\", 0)\n        mock_get_template.assert_called_once_with(\n            template_type=\"analyze_file\", language=\"en\")\n"
  },
  {
    "path": "test/sdk/core/tools/test_create_directory_tool.py",
    "content": "import pytest\nfrom unittest.mock import MagicMock, patch\nimport json\nimport os\nimport tempfile\nimport shutil\n\n# Import target module\nfrom sdk.nexent.core.utils.observer import MessageObserver, ProcessType\nfrom sdk.nexent.core.tools.create_directory_tool import CreateDirectoryTool\n\n\n@pytest.fixture\ndef mock_observer():\n    \"\"\"Create a mock observer for testing\"\"\"\n    observer = MagicMock(spec=MessageObserver)\n    observer.lang = \"en\"\n    return observer\n\n\n@pytest.fixture\ndef temp_workspace():\n    \"\"\"Create a temporary workspace directory for testing\"\"\"\n    temp_dir = tempfile.mkdtemp()\n    yield temp_dir\n    # Cleanup after test\n    shutil.rmtree(temp_dir, ignore_errors=True)\n\n\n@pytest.fixture\ndef create_directory_tool(mock_observer, temp_workspace):\n    \"\"\"Create CreateDirectoryTool instance for testing\"\"\"\n    tool = CreateDirectoryTool(\n        init_path=temp_workspace,\n        observer=mock_observer\n    )\n    return tool\n\n\n@pytest.fixture\ndef create_directory_tool_no_observer(temp_workspace):\n    \"\"\"Create CreateDirectoryTool instance without observer for testing\"\"\"\n    tool = CreateDirectoryTool(\n        init_path=temp_workspace,\n        observer=None\n    )\n    return tool\n\n\nclass TestCreateDirectoryTool:\n    \"\"\"Test CreateDirectoryTool functionality\"\"\"\n\n    def test_init_with_custom_values(self, mock_observer, temp_workspace):\n        \"\"\"Test initialization with custom values\"\"\"\n        tool = CreateDirectoryTool(\n            init_path=temp_workspace,\n            observer=mock_observer\n        )\n\n        assert tool.init_path == os.path.abspath(temp_workspace)\n        assert tool.observer == mock_observer\n\n    def test_validate_relative_path(self, create_directory_tool, temp_workspace):\n        \"\"\"Test validation of relative path\"\"\"\n        relative_path = \"test_dir/subdir\"\n        result = create_directory_tool._validate_path(relative_path)\n\n        expected_path = os.path.abspath(\n            os.path.join(temp_workspace, relative_path))\n        assert result == expected_path\n\n    def test_validate_absolute_path_within_workspace(self, create_directory_tool, temp_workspace):\n        \"\"\"Test validation of absolute path within workspace\"\"\"\n        abs_path = os.path.join(temp_workspace, \"test_dir\")\n        result = create_directory_tool._validate_path(abs_path)\n\n        assert result == os.path.abspath(abs_path)\n\n    def test_validate_absolute_path_outside_workspace(self, create_directory_tool):\n        \"\"\"Test validation of absolute path outside workspace\"\"\"\n        outside_path = \"/tmp/outside_workspace\"\n\n        with pytest.raises(Exception) as excinfo:\n            create_directory_tool._validate_path(outside_path)\n\n        assert \"Permission denied\" in str(excinfo.value)\n        assert \"outside the allowed area\" in str(excinfo.value)\n\n    def test_validate_path_with_dot_components(self, create_directory_tool, temp_workspace):\n        \"\"\"Test validation of path with dot components\"\"\"\n        # Test with '..' that goes outside workspace\n        malicious_path = \"../../etc/passwd\"\n\n        with pytest.raises(Exception) as excinfo:\n            create_directory_tool._validate_path(malicious_path)\n\n        assert \"Permission denied\" in str(excinfo.value)\n\n    def test_validate_path_normalization(self, create_directory_tool, temp_workspace):\n        \"\"\"Test path normalization\"\"\"\n        path_with_dots = \"test_dir/./subdir/../final\"\n        result = create_directory_tool._validate_path(path_with_dots)\n\n        expected_path = os.path.abspath(\n            os.path.join(temp_workspace, \"test_dir/final\"))\n        assert result == expected_path\n\n    def test_forward_success_new_directory(self, create_directory_tool, temp_workspace):\n        \"\"\"Test successful creation of new directory\"\"\"\n        directory_path = \"test_dir\"\n\n        result = create_directory_tool.forward(directory_path)\n\n        # Parse result\n        result_data = json.loads(result)\n\n        # Verify directory was created\n        abs_path = os.path.join(temp_workspace, directory_path)\n        assert os.path.exists(abs_path)\n        assert os.path.isdir(abs_path)\n\n        # Verify result structure\n        assert result_data[\"status\"] == \"success\"\n        assert result_data[\"directory_path\"] == directory_path\n        assert result_data[\"absolute_path\"] == abs_path\n        assert result_data[\"permissions\"] == \"755\"\n        assert result_data[\"already_existed\"] is False\n        assert \"created successfully\" in result_data[\"message\"]\n\n        # Verify observer messages\n        create_directory_tool.observer.add_message.assert_any_call(\n            \"\", ProcessType.TOOL, \"Creating directory...\"\n        )\n        create_directory_tool.observer.add_message.assert_any_call(\n            \"\", ProcessType.CARD, json.dumps(\n                [{\"icon\": \"folder-plus\", \"text\": f\"Creating directory {directory_path}\"}], ensure_ascii=False)\n        )\n\n    def test_forward_success_existing_directory(self, create_directory_tool, temp_workspace):\n        \"\"\"Test successful handling of existing directory\"\"\"\n        directory_path = \"existing_dir\"\n        abs_path = os.path.join(temp_workspace, directory_path)\n\n        # Create directory first\n        os.makedirs(abs_path, exist_ok=True)\n\n        result = create_directory_tool.forward(directory_path)\n\n        # Parse result\n        result_data = json.loads(result)\n\n        # Verify result structure\n        assert result_data[\"status\"] == \"success\"\n        assert result_data[\"already_existed\"] is True\n        assert \"verified\" in result_data[\"message\"]\n\n        # Verify observer messages include existing directory message\n        create_directory_tool.observer.add_message.assert_any_call(\n            \"\", ProcessType.OTHER, f\"Directory already exists: {directory_path}\"\n        )\n\n    def test_forward_success_with_custom_permissions(self, create_directory_tool, temp_workspace):\n        \"\"\"Test successful creation with custom permissions\"\"\"\n        directory_path = \"test_dir\"\n        permissions = \"644\"\n\n        result = create_directory_tool.forward(directory_path, permissions)\n\n        # Parse result\n        result_data = json.loads(result)\n\n        # Verify permissions\n        assert result_data[\"permissions\"] == permissions\n\n        # Verify directory was created with correct permissions\n        abs_path = os.path.join(temp_workspace, directory_path)\n        assert os.path.exists(abs_path)\n\n    def test_forward_empty_path(self, create_directory_tool):\n        \"\"\"Test forward with empty directory path\"\"\"\n        with pytest.raises(Exception) as excinfo:\n            create_directory_tool.forward(\"\")\n\n        assert \"Directory path cannot be empty\" in str(excinfo.value)\n\n    def test_forward_whitespace_path(self, create_directory_tool):\n        \"\"\"Test forward with whitespace-only directory path\"\"\"\n        with pytest.raises(Exception) as excinfo:\n            create_directory_tool.forward(\"   \")\n\n        assert \"Directory path cannot be empty\" in str(excinfo.value)\n\n    def test_forward_invalid_permissions(self, create_directory_tool):\n        \"\"\"Test forward with invalid permissions format\"\"\"\n        with pytest.raises(Exception) as excinfo:\n            create_directory_tool.forward(\"test_dir\", \"invalid\")\n\n        assert \"Invalid permissions format\" in str(excinfo.value)\n        assert \"octal format\" in str(excinfo.value)\n\n    def test_forward_path_exists_as_file(self, create_directory_tool, temp_workspace):\n        \"\"\"Test forward when path exists as file\"\"\"\n        directory_path = \"existing_file\"\n        abs_path = os.path.join(temp_workspace, directory_path)\n\n        # Create a file instead of directory\n        with open(abs_path, 'w') as f:\n            f.write(\"test content\")\n\n        with pytest.raises(Exception) as excinfo:\n            create_directory_tool.forward(directory_path)\n\n        assert \"Path already exists but is not a directory\" in str(\n            excinfo.value)\n\n    def test_forward_permission_error(self, create_directory_tool, temp_workspace):\n        \"\"\"Test forward with permission error\"\"\"\n        directory_path = \"test_dir\"\n\n        with patch('os.makedirs', side_effect=PermissionError(\"Permission denied\")):\n            with pytest.raises(Exception) as excinfo:\n                create_directory_tool.forward(directory_path)\n\n        assert \"Permission denied\" in str(excinfo.value)\n        assert \"Check directory permissions\" in str(excinfo.value)\n\n    def test_forward_os_error(self, create_directory_tool, temp_workspace):\n        \"\"\"Test forward with OS error\"\"\"\n        directory_path = \"test_dir\"\n\n        with patch('os.makedirs', side_effect=OSError(\"OS error\")):\n            with pytest.raises(Exception) as excinfo:\n                create_directory_tool.forward(directory_path)\n\n        assert \"OS error\" in str(excinfo.value)\n\n    def test_forward_unexpected_error(self, create_directory_tool, temp_workspace):\n        \"\"\"Test forward with unexpected error\"\"\"\n        directory_path = \"test_dir\"\n\n        with patch('os.makedirs', side_effect=RuntimeError(\"Unexpected error\")):\n            with pytest.raises(Exception) as excinfo:\n                create_directory_tool.forward(directory_path)\n\n        assert \"Failed to create directory\" in str(excinfo.value)\n\n    def test_forward_without_observer(self, create_directory_tool_no_observer, temp_workspace):\n        \"\"\"Test forward method without observer\"\"\"\n        directory_path = \"test_dir\"\n\n        result = create_directory_tool_no_observer.forward(directory_path)\n\n        # Parse result\n        result_data = json.loads(result)\n\n        # Verify directory was created\n        abs_path = os.path.join(temp_workspace, directory_path)\n        assert os.path.exists(abs_path)\n        assert result_data[\"status\"] == \"success\"\n\n    def test_forward_chinese_language_observer(self, create_directory_tool, temp_workspace):\n        \"\"\"Test forward with Chinese language observer\"\"\"\n        # Set observer language to Chinese\n        create_directory_tool.observer.lang = \"zh\"\n\n        directory_path = \"test_dir\"\n        result = create_directory_tool.forward(directory_path)\n\n        # Verify Chinese running prompt\n        create_directory_tool.observer.add_message.assert_any_call(\n            \"\", ProcessType.TOOL, \"正在创建文件夹...\"\n        )\n\n        # Verify Chinese existing directory message\n        # Call again to trigger existing directory message\n        create_directory_tool.forward(\"test_dir\")\n        create_directory_tool.observer.add_message.assert_any_call(\n            \"\", ProcessType.OTHER, f\"目录已存在: test_dir\"\n        )\n"
  },
  {
    "path": "test/sdk/core/tools/test_create_file_tool.py",
    "content": "import pytest\nfrom unittest.mock import MagicMock, patch\nimport json\nimport os\nimport tempfile\nimport shutil\n\n# Import target module\nfrom sdk.nexent.core.utils.observer import MessageObserver, ProcessType\nfrom sdk.nexent.core.tools.create_file_tool import CreateFileTool\n\n\n@pytest.fixture\ndef mock_observer():\n    \"\"\"Create a mock observer for testing\"\"\"\n    observer = MagicMock(spec=MessageObserver)\n    observer.lang = \"en\"\n    return observer\n\n\n@pytest.fixture\ndef temp_workspace():\n    \"\"\"Create a temporary workspace directory for testing\"\"\"\n    temp_dir = tempfile.mkdtemp()\n    yield temp_dir\n    # Cleanup after test\n    shutil.rmtree(temp_dir, ignore_errors=True)\n\n\n@pytest.fixture\ndef create_file_tool(mock_observer, temp_workspace):\n    \"\"\"Create CreateFileTool instance for testing\"\"\"\n    tool = CreateFileTool(\n        init_path=temp_workspace,\n        observer=mock_observer\n    )\n    return tool\n\n\n@pytest.fixture\ndef create_file_tool_no_observer(temp_workspace):\n    \"\"\"Create CreateFileTool instance without observer for testing\"\"\"\n    tool = CreateFileTool(\n        init_path=temp_workspace,\n        observer=None\n    )\n    return tool\n\n\nclass TestCreateFileTool:\n    def test_init_with_custom_values(self, mock_observer, temp_workspace):\n        \"\"\"Test initialization with custom values\"\"\"\n        tool = CreateFileTool(\n            init_path=temp_workspace,\n            observer=mock_observer\n        )\n\n        assert tool.init_path == os.path.abspath(temp_workspace)\n        assert tool.observer == mock_observer\n\n    def test_validate_relative_path(self, create_file_tool, temp_workspace):\n        \"\"\"Test validation of relative path\"\"\"\n        relative_path = \"test_dir/file.txt\"\n        result = create_file_tool._validate_path(relative_path)\n\n        expected_path = os.path.abspath(\n            os.path.join(temp_workspace, relative_path))\n        assert result == expected_path\n\n    def test_validate_absolute_path_within_workspace(self, create_file_tool, temp_workspace):\n        \"\"\"Test validation of absolute path within workspace\"\"\"\n        abs_path = os.path.join(temp_workspace, \"test_file.txt\")\n        result = create_file_tool._validate_path(abs_path)\n\n        assert result == os.path.abspath(abs_path)\n\n    def test_validate_absolute_path_outside_workspace(self, create_file_tool):\n        \"\"\"Test validation of absolute path outside workspace\"\"\"\n        outside_path = \"/tmp/outside_workspace.txt\"\n\n        with pytest.raises(Exception) as excinfo:\n            create_file_tool._validate_path(outside_path)\n\n        assert \"Permission denied\" in str(excinfo.value)\n        assert \"outside the allowed area\" in str(excinfo.value)\n\n    def test_validate_path_with_dot_components(self, create_file_tool, temp_workspace):\n        \"\"\"Test validation of path with dot components\"\"\"\n        # Test with '..' that goes outside workspace\n        malicious_path = \"../../etc/passwd\"\n\n        with pytest.raises(Exception) as excinfo:\n            create_file_tool._validate_path(malicious_path)\n\n        assert \"Permission denied\" in str(excinfo.value)\n\n    def test_validate_path_normalization(self, create_file_tool, temp_workspace):\n        \"\"\"Test path normalization\"\"\"\n        path_with_dots = \"test_dir/./subdir/../final.txt\"\n        result = create_file_tool._validate_path(path_with_dots)\n\n        expected_path = os.path.abspath(\n            os.path.join(temp_workspace, \"test_dir/final.txt\"))\n        assert result == expected_path\n\n    def test_forward_success_new_file(self, create_file_tool, temp_workspace):\n        \"\"\"Test successful creation of new file\"\"\"\n        file_path = \"test_file.txt\"\n        content = \"Hello, World!\"\n\n        result = create_file_tool.forward(file_path, content)\n\n        # Parse result\n        result_data = json.loads(result)\n\n        # Verify file was created\n        abs_path = os.path.join(temp_workspace, file_path)\n        assert os.path.exists(abs_path)\n        assert os.path.isfile(abs_path)\n\n        # Verify file content\n        with open(abs_path, 'r', encoding='utf-8') as f:\n            assert f.read() == content\n\n        # Verify result structure\n        assert result_data[\"status\"] == \"success\"\n        assert result_data[\"file_path\"] == file_path\n        assert result_data[\"absolute_path\"] == abs_path\n        assert result_data[\"content_length\"] == len(content)\n        assert result_data[\"file_size_bytes\"] == len(content.encode('utf-8'))\n        assert result_data[\"encoding\"] == \"utf-8\"\n        assert \"created successfully\" in result_data[\"message\"]\n\n        # Verify observer messages\n        create_file_tool.observer.add_message.assert_any_call(\n            \"\", ProcessType.TOOL, \"Creating file...\"\n        )\n        create_file_tool.observer.add_message.assert_any_call(\n            \"\", ProcessType.CARD, json.dumps(\n                [{\"icon\": \"file-plus\", \"text\": f\"Creating {file_path}\"}], ensure_ascii=False)\n        )\n\n    def test_forward_success_empty_file(self, create_file_tool, temp_workspace):\n        \"\"\"Test successful creation of empty file\"\"\"\n        file_path = \"empty_file.txt\"\n        content = \"\"\n\n        result = create_file_tool.forward(file_path, content)\n\n        # Parse result\n        result_data = json.loads(result)\n\n        # Verify file was created\n        abs_path = os.path.join(temp_workspace, file_path)\n        assert os.path.exists(abs_path)\n        assert os.path.isfile(abs_path)\n\n        # Verify file is empty\n        assert os.path.getsize(abs_path) == 0\n\n        # Verify result structure\n        assert result_data[\"content_length\"] == 0\n        assert result_data[\"file_size_bytes\"] == 0\n\n    def test_forward_success_none_content(self, create_file_tool, temp_workspace):\n        \"\"\"Test successful creation with None content\"\"\"\n        file_path = \"none_content.txt\"\n\n        result = create_file_tool.forward(file_path, None)\n\n        # Parse result\n        result_data = json.loads(result)\n\n        # Verify file was created\n        abs_path = os.path.join(temp_workspace, file_path)\n        assert os.path.exists(abs_path)\n        assert os.path.isfile(abs_path)\n\n        # Verify file is empty\n        assert os.path.getsize(abs_path) == 0\n        assert result_data[\"content_length\"] == 0\n\n    def test_forward_success_with_custom_encoding(self, create_file_tool, temp_workspace):\n        \"\"\"Test successful creation with custom encoding\"\"\"\n        file_path = \"utf16_file.txt\"\n        content = \"Hello, 世界!\"\n        encoding = \"utf-16\"\n\n        result = create_file_tool.forward(file_path, content, encoding)\n\n        # Parse result\n        result_data = json.loads(result)\n\n        # Verify encoding\n        assert result_data[\"encoding\"] == encoding\n\n        # Verify file was created with correct encoding\n        abs_path = os.path.join(temp_workspace, file_path)\n        assert os.path.exists(abs_path)\n\n        # Verify file content with correct encoding\n        with open(abs_path, 'r', encoding=encoding) as f:\n            assert f.read() == content\n\n    def test_forward_success_existing_file_overwrite(self, create_file_tool, temp_workspace):\n        \"\"\"Test successful overwrite of existing file\"\"\"\n        file_path = \"existing_file.txt\"\n        abs_path = os.path.join(temp_workspace, file_path)\n\n        # Create file first\n        with open(abs_path, 'w') as f:\n            f.write(\"old content\")\n\n        new_content = \"new content\"\n        result = create_file_tool.forward(file_path, new_content)\n\n        # Parse result\n        result_data = json.loads(result)\n\n        # Verify file was overwritten\n        with open(abs_path, 'r', encoding='utf-8') as f:\n            assert f.read() == new_content\n\n        # Verify observer messages include overwrite warning\n        create_file_tool.observer.add_message.assert_any_call(\n            \"\", ProcessType.OTHER, f\"File already exists, will overwrite: {abs_path}\"\n        )\n\n    def test_forward_success_create_parent_directories(self, create_file_tool, temp_workspace):\n        \"\"\"Test successful creation with parent directories\"\"\"\n        file_path = \"deep/nested/path/file.txt\"\n        content = \"test content\"\n\n        result = create_file_tool.forward(file_path, content)\n\n        # Parse result\n        result_data = json.loads(result)\n\n        # Verify file was created\n        abs_path = os.path.join(temp_workspace, file_path)\n        assert os.path.exists(abs_path)\n        assert os.path.isfile(abs_path)\n\n        # Verify parent directories were created\n        parent_dir = os.path.dirname(abs_path)\n        assert os.path.exists(parent_dir)\n        assert os.path.isdir(parent_dir)\n\n        # Verify file content\n        with open(abs_path, 'r', encoding='utf-8') as f:\n            assert f.read() == content\n\n    def test_forward_empty_path(self, create_file_tool):\n        \"\"\"Test forward with empty file path\"\"\"\n        with pytest.raises(Exception) as excinfo:\n            create_file_tool.forward(\"\")\n\n        assert \"File path cannot be empty\" in str(excinfo.value)\n\n    def test_forward_whitespace_path(self, create_file_tool):\n        \"\"\"Test forward with whitespace-only file path\"\"\"\n        with pytest.raises(Exception) as excinfo:\n            create_file_tool.forward(\"   \")\n\n        assert \"File path cannot be empty\" in str(excinfo.value)\n\n    def test_forward_permission_error(self, create_file_tool, temp_workspace):\n        \"\"\"Test forward with permission error\"\"\"\n        file_path = \"test_file.txt\"\n\n        with patch('builtins.open', side_effect=PermissionError(\"Permission denied\")):\n            with pytest.raises(Exception) as excinfo:\n                create_file_tool.forward(file_path, \"content\")\n\n        assert \"Permission denied\" in str(excinfo.value)\n        assert \"Check file permissions\" in str(excinfo.value)\n\n    def test_forward_unicode_encode_error(self, create_file_tool, temp_workspace):\n        \"\"\"Test forward with Unicode encoding error\"\"\"\n        file_path = \"test_file.txt\"\n        content = \"test content\"\n        encoding = \"ascii\"  # This will fail with non-ASCII content\n\n        # Use non-ASCII content to trigger encoding error\n        non_ascii_content = \"测试内容\"\n\n        with pytest.raises(Exception) as excinfo:\n            create_file_tool.forward(file_path, non_ascii_content, encoding)\n\n        assert \"Encoding error\" in str(excinfo.value)\n        assert \"Try a different encoding\" in str(excinfo.value)\n\n    def test_forward_os_error(self, create_file_tool, temp_workspace):\n        \"\"\"Test forward with OS error\"\"\"\n        file_path = \"test_file.txt\"\n\n        with patch('builtins.open', side_effect=OSError(\"OS error\")):\n            with pytest.raises(Exception) as excinfo:\n                create_file_tool.forward(file_path, \"content\")\n\n        assert \"OS error\" in str(excinfo.value)\n\n    def test_forward_unexpected_error(self, create_file_tool, temp_workspace):\n        \"\"\"Test forward with unexpected error\"\"\"\n        file_path = \"test_file.txt\"\n\n        with patch('builtins.open', side_effect=RuntimeError(\"Unexpected error\")):\n            with pytest.raises(Exception) as excinfo:\n                create_file_tool.forward(file_path, \"content\")\n\n        assert \"Failed to create file\" in str(excinfo.value)\n\n    def test_forward_without_observer(self, create_file_tool_no_observer, temp_workspace):\n        \"\"\"Test forward method without observer\"\"\"\n        file_path = \"test_file.txt\"\n        content = \"test content\"\n\n        result = create_file_tool_no_observer.forward(file_path, content)\n\n        # Parse result\n        result_data = json.loads(result)\n\n        # Verify file was created\n        abs_path = os.path.join(temp_workspace, file_path)\n        assert os.path.exists(abs_path)\n        assert result_data[\"status\"] == \"success\"\n\n    def test_forward_chinese_language_observer(self, create_file_tool, temp_workspace):\n        \"\"\"Test forward with Chinese language observer\"\"\"\n        # Set observer language to Chinese\n        create_file_tool.observer.lang = \"zh\"\n\n        file_path = \"test_file.txt\"\n        content = \"test content\"\n\n        # Create file first to test overwrite message\n        abs_path = os.path.join(temp_workspace, file_path)\n        with open(abs_path, 'w') as f:\n            f.write(\"old content\")\n\n        result = create_file_tool.forward(file_path, content)\n\n        # Verify Chinese running prompt\n        create_file_tool.observer.add_message.assert_any_call(\n            \"\", ProcessType.TOOL, \"正在创建文件...\"\n        )\n\n        # Verify Chinese overwrite warning message\n        create_file_tool.observer.add_message.assert_any_call(\n            \"\", ProcessType.OTHER, f\"文件已存在，将覆盖: {abs_path}\"\n        )\n"
  },
  {
    "path": "test/sdk/core/tools/test_datamate_search_tool.py",
    "content": "import json\nfrom typing import List\nfrom unittest.mock import ANY, MagicMock, call\n\nimport pytest\nfrom pytest_mock import MockFixture\n\nfrom sdk.nexent.core.tools.datamate_search_tool import DataMateSearchTool\nfrom sdk.nexent.core.utils.observer import MessageObserver, ProcessType\n\n@pytest.fixture\ndef mock_observer() -> MessageObserver:\n    observer = MagicMock(spec=MessageObserver)\n    observer.lang = \"en\"\n    return observer\n\n\n@pytest.fixture\ndef datamate_tool(mock_observer: MessageObserver) -> DataMateSearchTool:\n    tool = DataMateSearchTool(\n        server_url=\"http://127.0.0.1:8080\",\n        observer=mock_observer,\n        index_names=[\"kb1\"],\n        top_k=2,\n        threshold=0.5,\n    )\n    return tool\n\n\n@pytest.fixture\ndef datamate_tool_https(mock_observer: MessageObserver) -> DataMateSearchTool:\n    tool = DataMateSearchTool(\n        server_url=\"https://127.0.0.1:8443\",\n        verify_ssl=False,\n        observer=mock_observer,\n    )\n    return tool\n\n\ndef _build_kb_list(ids: List[str]):\n    return [{\"id\": kb_id, \"chunkCount\": 1} for kb_id in ids]\n\n\ndef _build_search_results(kb_id: str, count: int = 2):\n    return [\n        {\n            \"entity\": {\n                \"id\": f\"file-{i}\",\n                \"text\": f\"content-{i}\",\n                \"createTime\": \"2024-01-01T00:00:00Z\",\n                \"score\": 0.9 - i * 0.1,\n                \"metadata\": json.dumps(\n                    {\n                        \"file_name\": f\"file-{i}.txt\",\n                        \"absolute_directory_path\": f\"/data/{kb_id}\",\n                        \"original_file_id\": f\"orig-{i}\",\n                    }\n                ),\n                \"scoreDetails\": {\"raw\": 0.8},\n            }\n        }\n        for i in range(count)\n    ]\n\n\nclass TestDataMateSearchToolInit:\n    def test_init_success(self, mock_observer: MessageObserver, mocker: MockFixture):\n        mock_datamate_core = mocker.patch(\n            \"sdk.nexent.core.tools.datamate_search_tool.DataMateCore\")\n\n        tool = DataMateSearchTool(\n            server_url=\"http://datamate.local:1234\",\n            observer=mock_observer,\n        )\n\n        assert tool.server_ip == \"datamate.local\"\n        assert tool.server_port == 1234\n        assert tool.use_https is False\n        assert tool.server_base_url == \"http://datamate.local:1234\"\n        # index_names is excluded from the model, so we can't directly test it\n        # DataMateCore is mocked, so we verify it was called correctly instead\n\n        # Verify DataMateCore was called with correct SSL verification setting for HTTP\n        mock_datamate_core.assert_called_once_with(\n            base_url=\"http://datamate.local:1234\",\n            verify_ssl=True  # HTTP URLs should always verify SSL\n        )\n\n    def test_init_with_index_names(self, mock_observer: MessageObserver):\n        \"\"\"Test initialization with custom index_names.\"\"\"\n        custom_index_names = [\"kb1\", \"kb2\"]\n        tool = DataMateSearchTool(\n            server_url=\"http://127.0.0.1:8080\",\n            index_names=custom_index_names,\n            observer=mock_observer,\n        )\n\n        assert tool.index_names == custom_index_names\n\n        assert tool.index_names == custom_index_names\n\n    def test_init_invalid_server_url(self, mock_observer: MessageObserver):\n        \"\"\"Test invalid server_url parameters\"\"\"\n        # Test empty URL\n        with pytest.raises(ValueError) as excinfo:\n            DataMateSearchTool(server_url=\"\", observer=mock_observer)\n        assert \"server_url is required\" in str(excinfo.value)\n\n        # Test URL without protocol\n        with pytest.raises(ValueError) as excinfo:\n            DataMateSearchTool(server_url=\"127.0.0.1:8080\",\n                               observer=mock_observer)\n        assert \"server_url must include protocol\" in str(excinfo.value)\n\n        # Test invalid URL format\n        with pytest.raises(ValueError) as excinfo:\n            DataMateSearchTool(server_url=\"http://\", observer=mock_observer)\n        assert \"Invalid server_url format\" in str(excinfo.value)\n\n\nclass TestHelperMethods:\n    @pytest.mark.parametrize(\n        \"metadata_raw, expected\",\n        [\n            (None, {}),\n            ({\"a\": 1}, {\"a\": 1}),\n            ('{\"b\": 2}', {\"b\": 2}),\n            (\"not-json\", {}),\n        ],\n    )\n    def test_parse_metadata(self, datamate_tool: DataMateSearchTool, metadata_raw, expected):\n        result = datamate_tool._parse_metadata(metadata_raw)\n        assert result == expected\n\n    @pytest.mark.parametrize(\n        \"path, expected\",\n        [\n            (\"\", \"\"),\n            (\"/single\", \"single\"),\n            (\"/a/b/c\", \"c\"),\n            (\"////\", \"\"),\n            (\"/a/b/c/d/\", \"d\"),\n            (\"no-leading-slash\", \"no-leading-slash\"),\n            # After filtering empty segments, last is \"slashes\"\n            (\"///multiple///slashes///\", \"slashes\"),\n        ],\n    )\n    def test_extract_dataset_id(self, datamate_tool: DataMateSearchTool, path, expected):\n        assert datamate_tool._extract_dataset_id(path) == expected\n\n\nclass TestForward:\n    def test_forward_success_with_observer_en(self, datamate_tool: DataMateSearchTool, mocker: MockFixture):\n        # Mock the hybrid_search method to return search results\n        mock_hybrid_search = mocker.patch.object(\n            datamate_tool.datamate_core, 'hybrid_search')\n        mock_hybrid_search.return_value = _build_search_results(\"kb1\", count=2)\n\n        # Mock the build_file_download_url method\n        mock_build_url = mocker.patch.object(\n            datamate_tool.datamate_core.client, 'build_file_download_url')\n        mock_build_url.side_effect = lambda ds, fid: f\"http://dl/{ds}/{fid}\"\n\n        result_json = datamate_tool.forward(\"test query\")\n        results = json.loads(result_json)\n\n        assert len(results) == 2\n        datamate_tool.observer.add_message.assert_any_call(\n            \"\", ProcessType.TOOL, datamate_tool.running_prompt_en)\n        datamate_tool.observer.add_message.assert_any_call(\n            \"\", ProcessType.CARD, json.dumps(\n                [{\"icon\": \"search\", \"text\": \"test query\"}], ensure_ascii=False)\n        )\n        datamate_tool.observer.add_message.assert_any_call(\n            \"\", ProcessType.SEARCH_CONTENT, ANY)\n        assert datamate_tool.record_ops == 1 + len(results)\n\n        # Verify hybrid_search was called correctly\n        mock_hybrid_search.assert_called_once_with(\n            query_text=\"test query\",\n            index_names=[\"kb1\"],\n            top_k=2,\n            weight_accurate=0.5\n        )\n        mock_build_url.assert_any_call(\"kb1\", \"orig-0\")\n\n    def test_forward_success_with_observer_zh(self, datamate_tool: DataMateSearchTool, mocker: MockFixture):\n        datamate_tool.observer.lang = \"zh\"\n\n        # Mock the hybrid_search method to return search results\n        mock_hybrid_search = mocker.patch.object(\n            datamate_tool.datamate_core, 'hybrid_search')\n        mock_hybrid_search.return_value = _build_search_results(\"kb1\", count=1)\n\n        # Mock the build_file_download_url method\n        mock_build_url = mocker.patch.object(\n            datamate_tool.datamate_core.client, 'build_file_download_url')\n        mock_build_url.return_value = \"http://dl/kb1/file-1\"\n\n        datamate_tool.forward(\"测试查询\")\n\n        datamate_tool.observer.add_message.assert_any_call(\n            \"\", ProcessType.TOOL, datamate_tool.running_prompt_zh)\n\n    def test_forward_no_observer(self, mocker: MockFixture):\n        tool = DataMateSearchTool(\n            server_url=\"http://127.0.0.1:8080\", observer=None, index_names=[\"kb1\"])\n\n        # Mock the hybrid_search method to return search results\n        mock_hybrid_search = mocker.patch.object(\n            tool.datamate_core, 'hybrid_search')\n        mock_hybrid_search.return_value = _build_search_results(\"kb1\", count=1)\n\n        # Mock the build_file_download_url method\n        mock_build_url = mocker.patch.object(\n            tool.datamate_core.client, 'build_file_download_url')\n        mock_build_url.return_value = \"http://dl/kb1/file-1\"\n\n        result_json = tool.forward(\"query\")\n        assert len(json.loads(result_json)) == 1\n\n    def test_forward_no_knowledge_bases(self, datamate_tool: DataMateSearchTool, mocker: MockFixture):\n        # Mock the hybrid_search method\n        mock_hybrid_search = mocker.patch.object(\n            datamate_tool.datamate_core, 'hybrid_search')\n\n        # Set empty index_names to trigger the no knowledge base case\n        datamate_tool.index_names = []\n\n        result = datamate_tool.forward(\"query\")\n        assert result == json.dumps(\n            \"No knowledge base selected. No relevant information found.\", ensure_ascii=False)\n        mock_hybrid_search.assert_not_called()\n\n    def test_forward_no_results(self, datamate_tool: DataMateSearchTool, mocker: MockFixture):\n        # Mock the hybrid_search method to return empty results\n        mock_hybrid_search = mocker.patch.object(\n            datamate_tool.datamate_core, 'hybrid_search')\n        mock_hybrid_search.return_value = []\n\n        with pytest.raises(Exception) as excinfo:\n            datamate_tool.forward(\"query\")\n\n        assert \"No results found! Try a less restrictive/shorter query.\" in str(\n            excinfo.value)\n\n    def test_forward_wrapped_error(self, datamate_tool: DataMateSearchTool, mocker: MockFixture):\n        # Mock the hybrid_search method to raise an error\n        mock_hybrid_search = mocker.patch.object(\n            datamate_tool.datamate_core, 'hybrid_search')\n        mock_hybrid_search.side_effect = RuntimeError(\"low level error\")\n\n        with pytest.raises(Exception) as excinfo:\n            datamate_tool.forward(\"query\")\n\n        msg = str(excinfo.value)\n        assert \"Error during DataMate knowledge base search\" in msg\n        assert \"low level error\" in msg\n\n    def test_forward_with_default_index_names(self, datamate_tool: DataMateSearchTool, mocker: MockFixture):\n        \"\"\"Test forward method using default index_names from constructor.\"\"\"\n        # Set default index_names in the tool\n        datamate_tool.index_names = [\"default_kb1\", \"default_kb2\"]\n        datamate_tool.top_k = 3\n        datamate_tool.threshold = 0.2\n\n        # Mock the hybrid_search method to return results for each knowledge base\n        mock_hybrid_search = mocker.patch.object(\n            datamate_tool.datamate_core, 'hybrid_search')\n        mock_hybrid_search.side_effect = [\n            # First call returns results for kb1\n            _build_search_results(\"default_kb1\", count=1),\n            # Second call returns results for kb2\n            _build_search_results(\"default_kb2\", count=1),\n        ]\n\n        # Mock the build_file_download_url method\n        mock_build_url = mocker.patch.object(\n            datamate_tool.datamate_core.client, 'build_file_download_url')\n        mock_build_url.return_value = \"http://dl/default_kb/file-1\"\n\n        result_json = datamate_tool.forward(\"query\")\n        results = json.loads(result_json)\n\n        assert len(results) == 2  # One result from each knowledge base\n        assert mock_hybrid_search.call_count == 2\n        mock_hybrid_search.assert_any_call(\n            query_text=\"query\",\n            index_names=[\"default_kb1\"],\n            top_k=3,\n            weight_accurate=0.2\n        )\n        mock_hybrid_search.assert_any_call(\n            query_text=\"query\",\n            index_names=[\"default_kb2\"],\n            top_k=3,\n            weight_accurate=0.2\n        )\n\n    def test_forward_multiple_knowledge_bases(self, datamate_tool: DataMateSearchTool, mocker: MockFixture):\n        \"\"\"Test forward method with multiple knowledge bases.\"\"\"\n        # Set index_names for this test\n        datamate_tool.index_names = [\"kb1\", \"kb2\"]\n        datamate_tool.top_k = 3\n        datamate_tool.threshold = 0.2\n\n        # Mock the hybrid_search method to return results from multiple KBs\n        mock_hybrid_search = mocker.patch.object(\n            datamate_tool.datamate_core, 'hybrid_search')\n        mock_hybrid_search.side_effect = [\n            # First call returns results from kb1\n            _build_search_results(\"kb1\", count=1),\n            # Second call returns results from kb2\n            _build_search_results(\"kb2\", count=2),\n        ]\n\n        # Mock the build_file_download_url method\n        mock_build_url = mocker.patch.object(\n            datamate_tool.datamate_core.client, 'build_file_download_url')\n        mock_build_url.side_effect = lambda ds, fid: f\"http://dl/{ds}/{fid}\"\n\n        result_json = datamate_tool.forward(\"query\")\n        results = json.loads(result_json)\n\n        assert len(results) == 3  # 1 from kb1 + 2 from kb2\n\n        # Verify hybrid_search was called for each knowledge base\n        assert mock_hybrid_search.call_count == 2\n        mock_hybrid_search.assert_any_call(\n            query_text=\"query\",\n            index_names=[\"kb1\"],\n            top_k=3,\n            weight_accurate=0.2\n        )\n        mock_hybrid_search.assert_any_call(\n            query_text=\"query\",\n            index_names=[\"kb2\"],\n            top_k=3,\n            weight_accurate=0.2\n        )\n\n    def test_forward_with_custom_parameters(self, datamate_tool: DataMateSearchTool, mocker: MockFixture):\n        \"\"\"Test forward method with custom parameters.\"\"\"\n        # Set custom parameters for this test\n        datamate_tool.index_names = [\"kb1\"]\n        datamate_tool.top_k = 5\n        datamate_tool.threshold = 0.8\n\n        # Mock the hybrid_search method\n        mock_hybrid_search = mocker.patch.object(\n            datamate_tool.datamate_core, 'hybrid_search')\n        mock_hybrid_search.return_value = _build_search_results(\"kb1\", count=1)\n\n        # Mock the build_file_download_url method\n        mock_build_url = mocker.patch.object(\n            datamate_tool.datamate_core.client, 'build_file_download_url')\n        mock_build_url.return_value = \"http://dl/kb1/file-1\"\n\n        result_json = datamate_tool.forward(query=\"custom query\")\n        results = json.loads(result_json)\n\n        assert len(results) == 1\n\n        mock_hybrid_search.assert_called_once_with(\n            query_text=\"custom query\",\n            index_names=[\"kb1\"],\n            top_k=5,\n            weight_accurate=0.8\n        )\n\n    def test_forward_metadata_parsing_edge_cases(self, datamate_tool: DataMateSearchTool, mocker: MockFixture):\n        \"\"\"Test forward method with various metadata parsing edge cases.\"\"\"\n        # Set index_names for this test\n        datamate_tool.index_names = [\"kb1\"]\n\n        # Create search results with different metadata formats\n        search_results = [\n            {\n                \"entity\": {\n                    \"id\": \"file-1\",\n                    \"text\": \"content-1\",\n                    \"createTime\": \"2024-01-01T00:00:00Z\",\n                    \"score\": 0.9,\n                    \"metadata\": json.dumps({\n                        \"file_name\": \"file-1.txt\",\n                        \"absolute_directory_path\": \"/data/kb1\",\n                        \"original_file_id\": \"orig-1\",\n                    }),\n                    \"scoreDetails\": {\"raw\": 0.8},\n                }\n            },\n            {\n                \"entity\": {\n                    \"id\": \"file-2\",\n                    \"text\": \"content-2\",\n                    \"createTime\": \"2024-01-01T00:00:00Z\",\n                    \"score\": 0.8,\n                    \"metadata\": {},  # Empty dict metadata\n                    \"scoreDetails\": {\"raw\": 0.7},\n                }\n            },\n            {\n                \"entity\": {\n                    \"id\": \"file-3\",\n                    \"text\": \"content-3\",\n                    \"createTime\": \"2024-01-01T00:00:00Z\",\n                    \"score\": 0.7,\n                    \"metadata\": \"invalid-json\",  # Invalid JSON metadata\n                    \"scoreDetails\": {\"raw\": 0.6},\n                }\n            },\n        ]\n\n        # Mock the hybrid_search method\n        mock_hybrid_search = mocker.patch.object(\n            datamate_tool.datamate_core, 'hybrid_search')\n        mock_hybrid_search.return_value = search_results\n\n        # Mock the build_file_download_url method\n        mock_build_url = mocker.patch.object(\n            datamate_tool.datamate_core.client, 'build_file_download_url')\n        mock_build_url.return_value = \"http://dl/kb1/file\"\n\n        result_json = datamate_tool.forward(\"query\")\n        results = json.loads(result_json)\n\n        assert len(results) == 3\n\n        # Verify that missing metadata fields are handled gracefully\n        assert results[0][\"title\"] == \"file-1.txt\"\n        assert results[1][\"title\"] == \"\"  # Empty metadata dict\n        assert results[2][\"title\"] == \"\"  # Invalid JSON metadata\n\n\nclass TestDataMateSearchToolURL:\n    \"\"\"Test URL-based initialization for DataMateSearchTool\"\"\"\n\n    def test_url_https_initialization(self, mock_observer: MessageObserver, mocker: MockFixture):\n        \"\"\"Test HTTPS URL initialization\"\"\"\n        mock_datamate_core = mocker.patch(\n            \"sdk.nexent.core.tools.datamate_search_tool.DataMateCore\")\n\n        tool = DataMateSearchTool(\n            server_url=\"https://example.com:8443\",\n            observer=mock_observer,\n        )\n\n        assert tool.server_base_url == \"https://example.com:8443\"\n        assert tool.server_ip == \"example.com\"\n        assert tool.server_port == 8443\n        assert tool.use_https is True\n\n        # Verify DataMateCore was called with SSL verification disabled for HTTPS\n        mock_datamate_core.assert_called_once()\n        args, kwargs = mock_datamate_core.call_args\n        assert kwargs['base_url'] == \"https://example.com:8443\"\n        # Due to implementation, verify_ssl is passed as FieldInfo, but it should have default=False\n        from pydantic.fields import FieldInfo\n        assert isinstance(kwargs['verify_ssl'], FieldInfo)\n        assert kwargs['verify_ssl'].default == False\n\n    def test_url_http_initialization(self, mock_observer: MessageObserver, mocker: MockFixture):\n        \"\"\"Test HTTP URL initialization\"\"\"\n        mock_datamate_core = mocker.patch(\n            \"sdk.nexent.core.tools.datamate_search_tool.DataMateCore\")\n\n        tool = DataMateSearchTool(\n            server_url=\"http://192.168.1.100:8080\",\n            observer=mock_observer,\n        )\n\n        assert tool.server_base_url == \"http://192.168.1.100:8080\"\n        assert tool.server_ip == \"192.168.1.100\"\n        assert tool.server_port == 8080\n        assert tool.use_https is False\n\n        # Verify DataMateCore was called with SSL verification enabled for HTTP\n        mock_datamate_core.assert_called_once_with(\n            base_url=\"http://192.168.1.100:8080\",\n            verify_ssl=True  # HTTP URLs should always verify SSL\n        )\n\n    def test_url_https_with_ssl_verification(self, mock_observer: MessageObserver, mocker: MockFixture):\n        \"\"\"Test HTTPS URL with explicit SSL verification\"\"\"\n        mock_datamate_core = mocker.patch(\n            \"sdk.nexent.core.tools.datamate_search_tool.DataMateCore\")\n\n        tool = DataMateSearchTool(\n            server_url=\"https://example.com:8443\",\n            verify_ssl=True,\n            observer=mock_observer,\n        )\n\n        assert tool.server_base_url == \"https://example.com:8443\"\n        assert tool.use_https is True\n\n        # Verify DataMateCore was called with explicit SSL verification setting\n        mock_datamate_core.assert_called_once_with(\n            base_url=\"https://example.com:8443\",\n            verify_ssl=True  # Explicitly set to True\n        )\n\n    def test_url_default_ports(self, mock_observer: MessageObserver):\n        \"\"\"Test URLs with default ports\"\"\"\n        # HTTPS default port\n        tool_https = DataMateSearchTool(\n            server_url=\"https://example.com\",\n            observer=mock_observer,\n        )\n        assert tool_https.server_port == 443\n        assert tool_https.server_base_url == \"https://example.com:443\"\n\n        # HTTP default port\n        tool_http = DataMateSearchTool(\n            server_url=\"http://example.com\",\n            observer=mock_observer,\n        )\n        assert tool_http.server_port == 80\n        assert tool_http.server_base_url == \"http://example.com:80\"\n\n    def test_url_invalid_format(self, mock_observer: MessageObserver):\n        \"\"\"Test invalid URL formats\"\"\"\n        with pytest.raises(ValueError, match=\"server_url must include protocol\"):\n            DataMateSearchTool(server_url=\"example.com:8080\",\n                               observer=mock_observer)\n\n        with pytest.raises(ValueError, match=\"Invalid server_url format\"):\n            DataMateSearchTool(server_url=\"http://\", observer=mock_observer)\n"
  },
  {
    "path": "test/sdk/core/tools/test_delete_directory_tool.py",
    "content": "import pytest\nfrom unittest.mock import MagicMock, patch\nimport json\nimport os\nimport tempfile\nimport shutil\n\n# Import target module\nfrom sdk.nexent.core.utils.observer import MessageObserver, ProcessType\nfrom sdk.nexent.core.tools.delete_directory_tool import DeleteDirectoryTool\n\n\n@pytest.fixture\ndef mock_observer():\n    \"\"\"Create a mock observer for testing\"\"\"\n    observer = MagicMock(spec=MessageObserver)\n    observer.lang = \"en\"\n    return observer\n\n\n@pytest.fixture\ndef temp_workspace():\n    \"\"\"Create a temporary workspace directory for testing\"\"\"\n    temp_dir = tempfile.mkdtemp()\n    yield temp_dir\n    # Cleanup after test\n    shutil.rmtree(temp_dir, ignore_errors=True)\n\n\n@pytest.fixture\ndef delete_directory_tool(mock_observer, temp_workspace):\n    \"\"\"Create DeleteDirectoryTool instance for testing\"\"\"\n    tool = DeleteDirectoryTool(\n        init_path=temp_workspace,\n        observer=mock_observer\n    )\n    return tool\n\n\n@pytest.fixture\ndef delete_directory_tool_no_observer(temp_workspace):\n    \"\"\"Create DeleteDirectoryTool instance without observer for testing\"\"\"\n    tool = DeleteDirectoryTool(\n        init_path=temp_workspace,\n        observer=None\n    )\n    return tool\n\n\nclass TestDeleteDirectoryTool:\n    \"\"\"Test DeleteDirectoryTool functionality\"\"\"\n\n    def test_init_with_custom_values(self, mock_observer, temp_workspace):\n        \"\"\"Test initialization with custom values\"\"\"\n        tool = DeleteDirectoryTool(\n            init_path=temp_workspace,\n            observer=mock_observer\n        )\n\n        assert tool.init_path == os.path.abspath(temp_workspace)\n        assert tool.observer == mock_observer\n\n    def test_validate_relative_path(self, delete_directory_tool, temp_workspace):\n        \"\"\"Test validation of relative path\"\"\"\n        relative_path = \"test_dir/subdir\"\n        result = delete_directory_tool._validate_path(relative_path)\n\n        expected_path = os.path.abspath(\n            os.path.join(temp_workspace, relative_path))\n        assert result == expected_path\n\n    def test_validate_absolute_path_within_workspace(self, delete_directory_tool, temp_workspace):\n        \"\"\"Test validation of absolute path within workspace\"\"\"\n        abs_path = os.path.join(temp_workspace, \"test_dir\")\n        result = delete_directory_tool._validate_path(abs_path)\n\n        assert result == os.path.abspath(abs_path)\n\n    def test_validate_absolute_path_outside_workspace(self, delete_directory_tool):\n        \"\"\"Test validation of absolute path outside workspace\"\"\"\n        outside_path = \"/tmp/outside_workspace\"\n\n        with pytest.raises(Exception) as excinfo:\n            delete_directory_tool._validate_path(outside_path)\n\n        assert \"Permission denied\" in str(excinfo.value)\n        assert \"outside the allowed area\" in str(excinfo.value)\n\n    def test_validate_path_with_dot_components(self, delete_directory_tool, temp_workspace):\n        \"\"\"Test validation of path with dot components\"\"\"\n        # Test with '..' that goes outside workspace\n        malicious_path = \"../../etc/passwd\"\n\n        with pytest.raises(Exception) as excinfo:\n            delete_directory_tool._validate_path(malicious_path)\n\n        assert \"Permission denied\" in str(excinfo.value)\n\n    def test_validate_path_normalization(self, delete_directory_tool, temp_workspace):\n        \"\"\"Test path normalization\"\"\"\n        path_with_dots = \"test_dir/./subdir/../final\"\n        result = delete_directory_tool._validate_path(path_with_dots)\n\n        expected_path = os.path.abspath(\n            os.path.join(temp_workspace, \"test_dir/final\"))\n        assert result == expected_path\n\n    def test_validate_path_workspace_root_protection(self, delete_directory_tool, temp_workspace):\n        \"\"\"Test protection against deleting workspace root\"\"\"\n        with pytest.raises(Exception) as excinfo:\n            delete_directory_tool._validate_path(temp_workspace)\n\n        assert \"Permission denied\" in str(excinfo.value)\n        assert \"Cannot delete the workspace root directory\" in str(\n            excinfo.value)\n\n    def test_forward_success_delete_directory(self, delete_directory_tool, temp_workspace):\n        \"\"\"Test successful deletion of directory\"\"\"\n        directory_path = \"test_dir\"\n        abs_path = os.path.join(temp_workspace, directory_path)\n\n        # Create directory with some files\n        os.makedirs(abs_path, exist_ok=True)\n        with open(os.path.join(abs_path, \"file1.txt\"), 'w') as f:\n            f.write(\"test content 1\")\n        with open(os.path.join(abs_path, \"file2.txt\"), 'w') as f:\n            f.write(\"test content 2\")\n        os.makedirs(os.path.join(abs_path, \"subdir\"), exist_ok=True)\n\n        result = delete_directory_tool.forward(directory_path)\n\n        # Parse result\n        result_data = json.loads(result)\n\n        # Verify directory was deleted\n        assert not os.path.exists(abs_path)\n\n        # Verify result structure\n        assert result_data[\"status\"] == \"success\"\n        assert result_data[\"directory_path\"] == directory_path\n        assert result_data[\"absolute_path\"] == abs_path\n        assert result_data[\"directory_name\"] == directory_path\n        assert result_data[\"items_deleted\"] >= 3  # At least 2 files + 1 subdir\n        assert result_data[\"size_deleted_bytes\"] > 0\n        assert \"deleted successfully\" in result_data[\"message\"]\n\n        # Verify observer messages\n        delete_directory_tool.observer.add_message.assert_any_call(\n            \"\", ProcessType.TOOL, \"Deleting directory...\"\n        )\n        delete_directory_tool.observer.add_message.assert_any_call(\n            \"\", ProcessType.CARD, json.dumps(\n                [{\"icon\": \"folder-minus\", \"text\": f\"Deleting directory {directory_path}\"}], ensure_ascii=False)\n        )\n\n    def test_forward_success_large_directory_warning(self, delete_directory_tool, temp_workspace):\n        \"\"\"Test successful deletion with large directory warning\"\"\"\n        directory_path = \"large_dir\"\n        abs_path = os.path.join(temp_workspace, directory_path)\n\n        # Create directory with many files (>100)\n        os.makedirs(abs_path, exist_ok=True)\n        for i in range(101):\n            with open(os.path.join(abs_path, f\"file{i}.txt\"), 'w') as f:\n                f.write(f\"test content {i}\")\n\n        result = delete_directory_tool.forward(directory_path)\n\n        # Parse result\n        result_data = json.loads(result)\n\n        # Verify directory was deleted\n        assert not os.path.exists(abs_path)\n\n        # Verify warning message was sent\n        delete_directory_tool.observer.add_message.assert_any_call(\n            \"\", ProcessType.OTHER, \"Warning: Deleting large directory with 101 items\"\n        )\n\n    def test_forward_empty_path(self, delete_directory_tool):\n        \"\"\"Test forward with empty directory path\"\"\"\n        with pytest.raises(Exception) as excinfo:\n            delete_directory_tool.forward(\"\")\n\n        assert \"Directory path cannot be empty\" in str(excinfo.value)\n\n    def test_forward_whitespace_path(self, delete_directory_tool):\n        \"\"\"Test forward with whitespace-only directory path\"\"\"\n        with pytest.raises(Exception) as excinfo:\n            delete_directory_tool.forward(\"   \")\n\n        assert \"Directory path cannot be empty\" in str(excinfo.value)\n\n    def test_forward_directory_not_exists(self, delete_directory_tool):\n        \"\"\"Test forward when directory does not exist\"\"\"\n        with pytest.raises(Exception) as excinfo:\n            delete_directory_tool.forward(\"nonexistent_dir\")\n\n        assert \"Directory does not exist\" in str(excinfo.value)\n\n    def test_forward_path_is_file(self, delete_directory_tool, temp_workspace):\n        \"\"\"Test forward when path is a file, not directory\"\"\"\n        file_path = \"test_file.txt\"\n        abs_path = os.path.join(temp_workspace, file_path)\n\n        # Create a file instead of directory\n        with open(abs_path, 'w') as f:\n            f.write(\"test content\")\n\n        with pytest.raises(Exception) as excinfo:\n            delete_directory_tool.forward(file_path)\n\n        assert \"Path is not a directory\" in str(excinfo.value)\n        assert \"Use delete_file tool for files\" in str(excinfo.value)\n\n    def test_forward_permission_error(self, delete_directory_tool, temp_workspace):\n        \"\"\"Test forward with permission error\"\"\"\n        directory_path = \"test_dir\"\n        abs_path = os.path.join(temp_workspace, directory_path)\n\n        # Create directory first\n        os.makedirs(abs_path, exist_ok=True)\n\n        with patch('shutil.rmtree', side_effect=PermissionError(\"Permission denied\")):\n            with pytest.raises(Exception) as excinfo:\n                delete_directory_tool.forward(directory_path)\n\n        assert \"Permission denied\" in str(excinfo.value)\n        assert \"Check directory permissions\" in str(excinfo.value)\n\n    def test_forward_os_error(self, delete_directory_tool, temp_workspace):\n        \"\"\"Test forward with OS error\"\"\"\n        directory_path = \"test_dir\"\n        abs_path = os.path.join(temp_workspace, directory_path)\n\n        # Create directory first\n        os.makedirs(abs_path, exist_ok=True)\n\n        with patch('shutil.rmtree', side_effect=OSError(\"OS error\")):\n            with pytest.raises(Exception) as excinfo:\n                delete_directory_tool.forward(directory_path)\n\n        assert \"OS error\" in str(excinfo.value)\n\n    def test_forward_unexpected_error(self, delete_directory_tool, temp_workspace):\n        \"\"\"Test forward with unexpected error\"\"\"\n        directory_path = \"test_dir\"\n        abs_path = os.path.join(temp_workspace, directory_path)\n\n        # Create directory first\n        os.makedirs(abs_path, exist_ok=True)\n\n        with patch('shutil.rmtree', side_effect=RuntimeError(\"Unexpected error\")):\n            with pytest.raises(Exception) as excinfo:\n                delete_directory_tool.forward(directory_path)\n\n        assert \"Failed to delete directory\" in str(excinfo.value)\n\n    def test_forward_without_observer(self, delete_directory_tool_no_observer, temp_workspace):\n        \"\"\"Test forward method without observer\"\"\"\n        directory_path = \"test_dir\"\n        abs_path = os.path.join(temp_workspace, directory_path)\n\n        # Create directory first\n        os.makedirs(abs_path, exist_ok=True)\n\n        result = delete_directory_tool_no_observer.forward(directory_path)\n\n        # Parse result\n        result_data = json.loads(result)\n\n        # Verify directory was deleted\n        assert not os.path.exists(abs_path)\n        assert result_data[\"status\"] == \"success\"\n\n    def test_forward_chinese_language_observer(self, delete_directory_tool, temp_workspace):\n        \"\"\"Test forward with Chinese language observer\"\"\"\n        # Set observer language to Chinese\n        delete_directory_tool.observer.lang = \"zh\"\n\n        directory_path = \"test_dir\"\n        abs_path = os.path.join(temp_workspace, directory_path)\n\n        # Create directory first\n        os.makedirs(abs_path, exist_ok=True)\n\n        result = delete_directory_tool.forward(directory_path)\n\n        # Verify Chinese running prompt\n        delete_directory_tool.observer.add_message.assert_any_call(\n            \"\", ProcessType.TOOL, \"正在删除文件夹...\"\n        )\n\n        # Verify Chinese warning message for large directory\n        # Create another large directory\n        large_dir_path = \"large_dir\"\n        large_abs_path = os.path.join(temp_workspace, large_dir_path)\n        os.makedirs(large_abs_path, exist_ok=True)\n        for i in range(101):\n            with open(os.path.join(large_abs_path, f\"file{i}.txt\"), 'w') as f:\n                f.write(f\"test content {i}\")\n\n        delete_directory_tool.forward(large_dir_path)\n        delete_directory_tool.observer.add_message.assert_any_call(\n            \"\", ProcessType.OTHER, \"警告：正在删除包含 101 个项目的大文件夹\"\n        )\n"
  },
  {
    "path": "test/sdk/core/tools/test_delete_file_tool.py",
    "content": "import pytest\nfrom unittest.mock import MagicMock, patch\nimport json\nimport os\nimport tempfile\nimport shutil\n\n# Import target module\nfrom sdk.nexent.core.utils.observer import MessageObserver, ProcessType\nfrom sdk.nexent.core.tools.delete_file_tool import DeleteFileTool\n\n\n@pytest.fixture\ndef mock_observer():\n    \"\"\"Create a mock observer for testing\"\"\"\n    observer = MagicMock(spec=MessageObserver)\n    observer.lang = \"en\"\n    return observer\n\n\n@pytest.fixture\ndef temp_workspace():\n    \"\"\"Create a temporary workspace directory for testing\"\"\"\n    temp_dir = tempfile.mkdtemp()\n    yield temp_dir\n    # Cleanup after test\n    shutil.rmtree(temp_dir, ignore_errors=True)\n\n\n@pytest.fixture\ndef delete_file_tool(mock_observer, temp_workspace):\n    \"\"\"Create DeleteFileTool instance for testing\"\"\"\n    tool = DeleteFileTool(\n        init_path=temp_workspace,\n        observer=mock_observer\n    )\n    return tool\n\n\n@pytest.fixture\ndef delete_file_tool_no_observer(temp_workspace):\n    \"\"\"Create DeleteFileTool instance without observer for testing\"\"\"\n    tool = DeleteFileTool(\n        init_path=temp_workspace,\n        observer=None\n    )\n    return tool\n\n\nclass TestDeleteFileTool:\n    \"\"\"Test DeleteFileTool functionality\"\"\"\n\n    def test_init_with_custom_values(self, mock_observer, temp_workspace):\n        \"\"\"Test initialization with custom values\"\"\"\n        tool = DeleteFileTool(\n            init_path=temp_workspace,\n            observer=mock_observer\n        )\n\n        assert tool.init_path == os.path.abspath(temp_workspace)\n        assert tool.observer == mock_observer\n\n    def test_validate_relative_path(self, delete_file_tool, temp_workspace):\n        \"\"\"Test validation of relative path\"\"\"\n        relative_path = \"test_dir/file.txt\"\n        result = delete_file_tool._validate_path(relative_path)\n\n        expected_path = os.path.abspath(\n            os.path.join(temp_workspace, relative_path))\n        assert result == expected_path\n\n    def test_validate_absolute_path_within_workspace(self, delete_file_tool, temp_workspace):\n        \"\"\"Test validation of absolute path within workspace\"\"\"\n        abs_path = os.path.join(temp_workspace, \"test_file.txt\")\n        result = delete_file_tool._validate_path(abs_path)\n\n        assert result == os.path.abspath(abs_path)\n\n    def test_validate_absolute_path_outside_workspace(self, delete_file_tool):\n        \"\"\"Test validation of absolute path outside workspace\"\"\"\n        outside_path = \"/tmp/outside_workspace.txt\"\n\n        with pytest.raises(Exception) as excinfo:\n            delete_file_tool._validate_path(outside_path)\n\n        assert \"Permission denied\" in str(excinfo.value)\n        assert \"outside the allowed area\" in str(excinfo.value)\n\n    def test_validate_path_with_dot_components(self, delete_file_tool, temp_workspace):\n        \"\"\"Test validation of path with dot components\"\"\"\n        # Test with '..' that goes outside workspace\n        malicious_path = \"../../etc/passwd\"\n\n        with pytest.raises(Exception) as excinfo:\n            delete_file_tool._validate_path(malicious_path)\n\n        assert \"Permission denied\" in str(excinfo.value)\n\n    def test_validate_path_normalization(self, delete_file_tool, temp_workspace):\n        \"\"\"Test path normalization\"\"\"\n        path_with_dots = \"test_dir/./subdir/../final.txt\"\n        result = delete_file_tool._validate_path(path_with_dots)\n\n        expected_path = os.path.abspath(\n            os.path.join(temp_workspace, \"test_dir/final.txt\"))\n        assert result == expected_path\n\n    def test_forward_success_delete_file(self, delete_file_tool, temp_workspace):\n        \"\"\"Test successful deletion of file\"\"\"\n        file_path = \"test_file.txt\"\n        abs_path = os.path.join(temp_workspace, file_path)\n\n        # Create file with content\n        content = \"test content for deletion\"\n        with open(abs_path, 'w') as f:\n            f.write(content)\n\n        result = delete_file_tool.forward(file_path)\n\n        # Parse result\n        result_data = json.loads(result)\n\n        # Verify file was deleted\n        assert not os.path.exists(abs_path)\n\n        # Verify result structure\n        assert result_data[\"status\"] == \"success\"\n        assert result_data[\"file_path\"] == file_path\n        assert result_data[\"absolute_path\"] == abs_path\n        assert result_data[\"file_name\"] == file_path\n        assert result_data[\"file_size_bytes\"] == len(content.encode('utf-8'))\n        assert \"deleted successfully\" in result_data[\"message\"]\n\n        # Verify observer messages\n        delete_file_tool.observer.add_message.assert_any_call(\n            \"\", ProcessType.TOOL, \"Deleting file...\"\n        )\n        delete_file_tool.observer.add_message.assert_any_call(\n            \"\", ProcessType.CARD, json.dumps(\n                [{\"icon\": \"trash\", \"text\": f\"Deleting {file_path}\"}], ensure_ascii=False)\n        )\n\n    def test_forward_success_protected_file_warning(self, delete_file_tool, temp_workspace):\n        \"\"\"Test successful deletion with protected file warning\"\"\"\n        file_path = \"config.env\"\n        abs_path = os.path.join(temp_workspace, file_path)\n\n        # Create file\n        with open(abs_path, 'w') as f:\n            f.write(\"test config\")\n\n        result = delete_file_tool.forward(file_path)\n\n        # Parse result\n        result_data = json.loads(result)\n\n        # Verify file was deleted\n        assert not os.path.exists(abs_path)\n\n        # Verify warning message was sent\n        delete_file_tool.observer.add_message.assert_any_call(\n            \"\", ProcessType.OTHER, \"Warning: Deleting potentially important file: config.env\"\n        )\n\n    def test_forward_empty_path(self, delete_file_tool):\n        \"\"\"Test forward with empty file path\"\"\"\n        with pytest.raises(Exception) as excinfo:\n            delete_file_tool.forward(\"\")\n\n        assert \"File path cannot be empty\" in str(excinfo.value)\n\n    def test_forward_whitespace_path(self, delete_file_tool):\n        \"\"\"Test forward with whitespace-only file path\"\"\"\n        with pytest.raises(Exception) as excinfo:\n            delete_file_tool.forward(\"   \")\n\n        assert \"File path cannot be empty\" in str(excinfo.value)\n\n    def test_forward_file_not_exists(self, delete_file_tool):\n        \"\"\"Test forward when file does not exist\"\"\"\n        with pytest.raises(Exception) as excinfo:\n            delete_file_tool.forward(\"nonexistent_file.txt\")\n\n        assert \"File does not exist\" in str(excinfo.value)\n\n    def test_forward_path_is_directory(self, delete_file_tool, temp_workspace):\n        \"\"\"Test forward when path is a directory, not file\"\"\"\n        dir_path = \"test_dir\"\n        abs_path = os.path.join(temp_workspace, dir_path)\n\n        # Create a directory instead of file\n        os.makedirs(abs_path, exist_ok=True)\n\n        with pytest.raises(Exception) as excinfo:\n            delete_file_tool.forward(dir_path)\n\n        assert \"Path is not a file\" in str(excinfo.value)\n        assert \"This tool only deletes files, not directories\" in str(\n            excinfo.value)\n\n    def test_forward_permission_error(self, delete_file_tool, temp_workspace):\n        \"\"\"Test forward with permission error\"\"\"\n        file_path = \"test_file.txt\"\n        abs_path = os.path.join(temp_workspace, file_path)\n\n        # Create file first\n        with open(abs_path, 'w') as f:\n            f.write(\"test content\")\n\n        with patch('os.remove', side_effect=PermissionError(\"Permission denied\")):\n            with pytest.raises(Exception) as excinfo:\n                delete_file_tool.forward(file_path)\n\n        assert \"Permission denied\" in str(excinfo.value)\n        assert \"Check file permissions\" in str(excinfo.value)\n\n    def test_forward_is_directory_error(self, delete_file_tool, temp_workspace):\n        \"\"\"Test forward with IsADirectoryError\"\"\"\n        file_path = \"test_file.txt\"\n        abs_path = os.path.join(temp_workspace, file_path)\n\n        # Create file first\n        with open(abs_path, 'w') as f:\n            f.write(\"test content\")\n\n        with patch('os.remove', side_effect=IsADirectoryError(\"Is a directory\")):\n            with pytest.raises(Exception) as excinfo:\n                delete_file_tool.forward(file_path)\n\n        assert \"Cannot delete directory\" in str(excinfo.value)\n        assert \"This tool only deletes individual files\" in str(excinfo.value)\n\n    def test_forward_os_error(self, delete_file_tool, temp_workspace):\n        \"\"\"Test forward with OS error\"\"\"\n        file_path = \"test_file.txt\"\n        abs_path = os.path.join(temp_workspace, file_path)\n\n        # Create file first\n        with open(abs_path, 'w') as f:\n            f.write(\"test content\")\n\n        with patch('os.remove', side_effect=OSError(\"OS error\")):\n            with pytest.raises(Exception) as excinfo:\n                delete_file_tool.forward(file_path)\n\n        assert \"OS error\" in str(excinfo.value)\n\n    def test_forward_unexpected_error(self, delete_file_tool, temp_workspace):\n        \"\"\"Test forward with unexpected error\"\"\"\n        file_path = \"test_file.txt\"\n        abs_path = os.path.join(temp_workspace, file_path)\n\n        # Create file first\n        with open(abs_path, 'w') as f:\n            f.write(\"test content\")\n\n        with patch('os.remove', side_effect=RuntimeError(\"Unexpected error\")):\n            with pytest.raises(Exception) as excinfo:\n                delete_file_tool.forward(file_path)\n\n        assert \"Failed to delete file\" in str(excinfo.value)\n\n    def test_forward_without_observer(self, delete_file_tool_no_observer, temp_workspace):\n        \"\"\"Test forward method without observer\"\"\"\n        file_path = \"test_file.txt\"\n        abs_path = os.path.join(temp_workspace, file_path)\n\n        # Create file first\n        with open(abs_path, 'w') as f:\n            f.write(\"test content\")\n\n        result = delete_file_tool_no_observer.forward(file_path)\n\n        # Parse result\n        result_data = json.loads(result)\n\n        # Verify file was deleted\n        assert not os.path.exists(abs_path)\n        assert result_data[\"status\"] == \"success\"\n\n    def test_forward_chinese_language_observer(self, delete_file_tool, temp_workspace):\n        \"\"\"Test forward with Chinese language observer\"\"\"\n        # Set observer language to Chinese\n        delete_file_tool.observer.lang = \"zh\"\n\n        file_path = \"test_file.txt\"\n        abs_path = os.path.join(temp_workspace, file_path)\n\n        # Create file first\n        with open(abs_path, 'w') as f:\n            f.write(\"test content\")\n\n        result = delete_file_tool.forward(file_path)\n\n        # Verify Chinese running prompt\n        delete_file_tool.observer.add_message.assert_any_call(\n            \"\", ProcessType.TOOL, \"正在删除文件...\"\n        )\n\n        # Verify Chinese warning message for protected file\n        protected_file_path = \"passwd.txt\"\n        protected_abs_path = os.path.join(temp_workspace, protected_file_path)\n        with open(protected_abs_path, 'w') as f:\n            f.write(\"test content\")\n\n        delete_file_tool.forward(protected_file_path)\n        delete_file_tool.observer.add_message.assert_any_call(\n            \"\", ProcessType.OTHER, \"警告：正在删除可能重要的文件: passwd.txt\"\n        )\n"
  },
  {
    "path": "test/sdk/core/tools/test_dify_search_tool.py",
    "content": "import json\nfrom typing import List\nfrom unittest.mock import ANY, MagicMock, patch\n\nimport httpx\nimport pytest\nfrom pytest_mock import MockFixture\n\nfrom sdk.nexent.core.tools.dify_search_tool import DifySearchTool\nfrom sdk.nexent.core.utils.observer import MessageObserver, ProcessType\n\n\n@pytest.fixture\ndef mock_observer() -> MessageObserver:\n    observer = MagicMock(spec=MessageObserver)\n    observer.lang = \"en\"\n    return observer\n\n\n@pytest.fixture\ndef dify_tool(mock_observer: MessageObserver) -> DifySearchTool:\n    with patch(\"sdk.nexent.core.tools.dify_search_tool.http_client_manager\") as mock_manager:\n        mock_client = MagicMock()\n        mock_manager.get_sync_client.return_value = mock_client\n        tool = DifySearchTool(\n            server_url=\"https://api.dify.ai/v1\",\n            api_key=\"test_api_key\",\n            dataset_ids='[\"dataset1\", \"dataset2\"]',\n            top_k=3,\n            observer=mock_observer,\n        )\n        # Store the mock client for tests to use\n        tool._mock_http_client = mock_client\n        return tool\n\n\ndef _build_search_response(records: List[dict] = None, query: str = \"test query\"):\n    if records is None:\n        records = [\n            {\n                \"segment\": {\n                    \"content\": \"test content 1\",\n                    \"document\": {\n                        \"id\": \"doc1\",\n                        \"name\": \"document1.txt\"\n                    }\n                },\n                \"score\": 0.9\n            },\n            {\n                \"segment\": {\n                    \"content\": \"test content 2\",\n                    \"document\": {\n                        \"id\": \"doc2\",\n                        \"name\": \"document2.txt\"\n                    }\n                },\n                \"score\": 0.8\n            }\n        ]\n    return {\"query\": query, \"records\": records}\n\n\ndef _build_download_url_response(download_url: str = \"https://download.example.com/file.pdf\"):\n    return {\"download_url\": download_url}\n\n\nclass TestDifySearchToolInit:\n    def test_init_success(self, mock_observer: MessageObserver):\n        tool = DifySearchTool(\n            server_url=\"https://api.dify.ai/v1\",\n            api_key=\"test_key\",\n            dataset_ids='[\"ds1\", \"ds2\"]',\n            top_k=5,\n            observer=mock_observer,\n        )\n\n        assert tool.server_url == \"https://api.dify.ai/v1\"\n        assert tool.dataset_ids == [\"ds1\", \"ds2\"]\n        assert tool.api_key == \"test_key\"\n        assert tool.top_k == 5\n        assert tool.observer is mock_observer\n        assert tool.record_ops == 1\n        assert tool.running_prompt_zh == \"Dify知识库检索中...\"\n        assert tool.running_prompt_en == \"Searching Dify knowledge base...\"\n\n    def test_init_singledataset_id(self, mock_observer: MessageObserver):\n        tool = DifySearchTool(\n            server_url=\"https://api.dify.ai/v1/\",\n            api_key=\"test_key\",\n            dataset_ids='[\"single_dataset\"]',\n            observer=mock_observer,\n        )\n\n        assert tool.server_url == \"https://api.dify.ai/v1\"\n        assert tool.dataset_ids == [\"single_dataset\"]\n\n    def test_init_json_string_array_dataset_ids(self, mock_observer: MessageObserver):\n        tool = DifySearchTool(\n            server_url=\"https://api.dify.ai/v1/\",\n            api_key=\"test_key\",\n            dataset_ids='[\"0ab7096c-dfa5-4e0e-9dad-9265781447a3\"]',\n            observer=mock_observer,\n        )\n\n        assert tool.server_url == \"https://api.dify.ai/v1\"\n        assert tool.dataset_ids == [\"0ab7096c-dfa5-4e0e-9dad-9265781447a3\"]\n\n    def test_init_json_string_array_multiple_dataset_ids(self, mock_observer: MessageObserver):\n        tool = DifySearchTool(\n            server_url=\"https://api.dify.ai/v1/\",\n            api_key=\"test_key\",\n            dataset_ids='[\"ds1\", \"ds2\", \"ds3\"]',\n            observer=mock_observer,\n        )\n\n        assert tool.server_url == \"https://api.dify.ai/v1\"\n        assert tool.dataset_ids == [\"ds1\", \"ds2\", \"ds3\"]\n\n    @pytest.mark.parametrize(\"server_url,expected_error\", [\n        (\"\", \"server_url is required and must be a non-empty string\"),\n        (None, \"server_url is required and must be a non-empty string\"),\n    ])\n    def test_init_invalid_server_url(self, server_url, expected_error):\n        with pytest.raises(ValueError) as excinfo:\n            DifySearchTool(\n                server_url=server_url,\n                api_key=\"test_key\",\n                dataset_ids='[\"ds1\"]',\n            )\n        assert expected_error in str(excinfo.value)\n\n    @pytest.mark.parametrize(\"api_key,expected_error\", [\n        (\"\", \"api_key is required and must be a non-empty string\"),\n        (None, \"api_key is required and must be a non-empty string\"),\n    ])\n    def test_init_invalid_api_key(self, api_key, expected_error):\n        with pytest.raises(ValueError) as excinfo:\n            DifySearchTool(\n                server_url=\"https://api.dify.ai/v1\",\n                api_key=api_key,\n                dataset_ids='[\"ds1\"]',\n            )\n        assert expected_error in str(excinfo.value)\n\n    @pytest.mark.parametrize(\"dataset_ids,expected_error\", [\n        ([], \"dataset_ids is required and must be a non-empty JSON string array or list\"),\n        (\"\", \"dataset_ids is required and must be a non-empty JSON string array or list\"),\n        (None, \"dataset_ids is required and must be a non-empty JSON string array or list\"),\n    ])\n    def test_init_invaliddataset_ids(self, dataset_ids, expected_error):\n        with pytest.raises(ValueError) as excinfo:\n            DifySearchTool(\n                server_url=\"https://api.dify.ai/v1\",\n                api_key=\"test_key\",\n                dataset_ids=dataset_ids,\n            )\n        assert expected_error in str(excinfo.value)\n\n    def test_init_dataset_ids_empty_json_array_string(self, mock_observer: MessageObserver):\n        \"\"\"Test that empty JSON array '[]' raises ValueError.\"\"\"\n        with pytest.raises(ValueError) as excinfo:\n            DifySearchTool(\n                server_url=\"https://api.dify.ai/v1\",\n                api_key=\"test_key\",\n                dataset_ids=\"[]\",\n                observer=mock_observer,\n            )\n        # Empty JSON array passes the first check (not falsy), but fails the list/empty check\n        assert \"dataset_ids must be a non-empty array of strings\" in str(excinfo.value)\n\n    def test_init_dataset_ids_as_list(self, mock_observer: MessageObserver):\n        \"\"\"Test dataset_ids can be passed as a Python list instead of JSON string.\"\"\"\n        tool = DifySearchTool(\n            server_url=\"https://api.dify.ai/v1\",\n            api_key=\"test_key\",\n            dataset_ids=[\"ds1\", \"ds2\", \"ds3\"],\n            observer=mock_observer,\n        )\n\n        assert tool.dataset_ids == [\"ds1\", \"ds2\", \"ds3\"]\n        assert len(tool.dataset_ids) == 3\n\n    def test_init_dataset_ids_as_list_single_item(self, mock_observer: MessageObserver):\n        \"\"\"Test dataset_ids as a list with single item.\"\"\"\n        tool = DifySearchTool(\n            server_url=\"https://api.dify.ai/v1\",\n            api_key=\"test_key\",\n            dataset_ids=[\"single_dataset\"],\n            observer=mock_observer,\n        )\n\n        assert tool.dataset_ids == [\"single_dataset\"]\n        assert len(tool.dataset_ids) == 1\n\n    def test_init_dataset_ids_as_list_with_numeric_ids(self, mock_observer: MessageObserver):\n        \"\"\"Test dataset_ids list with numeric IDs are converted to strings.\"\"\"\n        tool = DifySearchTool(\n            server_url=\"https://api.dify.ai/v1\",\n            api_key=\"test_key\",\n            dataset_ids=[123, 456, 789],\n            observer=mock_observer,\n        )\n\n        assert tool.dataset_ids == [\"123\", \"456\", \"789\"]\n        assert all(isinstance(id, str) for id in tool.dataset_ids)\n\n    @pytest.mark.parametrize(\"invalid_json,expected_error_contains\", [\n        (\"invalid_json\", \"dataset_ids must be a valid JSON string array or list\"),\n        (\"{key: value}\", \"dataset_ids must be a valid JSON string array or list\"),\n        (\"{'key': 'value'}\", \"dataset_ids must be a valid JSON string array or list\"),\n        (\"123\", \"dataset_ids must be a non-empty array of strings\"),\n    ])\n    def test_init_invalid_json_format(self, invalid_json, expected_error_contains, mock_observer: MessageObserver):\n        \"\"\"Test dataset_ids with invalid JSON format raises appropriate error.\"\"\"\n        with pytest.raises(ValueError) as excinfo:\n            DifySearchTool(\n                server_url=\"https://api.dify.ai/v1\",\n                api_key=\"test_key\",\n                dataset_ids=invalid_json,\n                observer=mock_observer,\n            )\n        assert expected_error_contains in str(excinfo.value)\n\n    def test_init_dataset_ids_with_malformed_json_array(self, mock_observer: MessageObserver):\n        \"\"\"Test dataset_ids with malformed JSON array.\"\"\"\n        with pytest.raises(ValueError) as excinfo:\n            DifySearchTool(\n                server_url=\"https://api.dify.ai/v1\",\n                api_key=\"test_key\",\n                dataset_ids='[\"ds1\", \"ds2\"',  # Missing closing bracket\n                observer=mock_observer,\n            )\n        assert \"dataset_ids must be a valid JSON string array or list\" in str(excinfo.value)\n\n    def test_init_dataset_ids_json_string_with_non_string_elements(self, mock_observer: MessageObserver):\n        \"\"\"Test that non-string elements in JSON array are converted to strings.\"\"\"\n        tool = DifySearchTool(\n            server_url=\"https://api.dify.ai/v1\",\n            api_key=\"test_key\",\n            dataset_ids='[\"ds1\", 123, true, null]',\n            observer=mock_observer,\n        )\n\n        # Elements should be converted to strings using Python's str()\n        # JSON true -> Python True -> str() -> 'True'\n        # JSON null -> Python None -> str() -> 'None'\n        assert tool.dataset_ids == [\"ds1\", \"123\", \"True\", \"None\"]\n        assert all(isinstance(id, str) for id in tool.dataset_ids)\n\n\nclass TestGetDocumentDownloadUrl:\n    def test_get_document_download_url_success(self, mocker: MockFixture, dify_tool: DifySearchTool):\n        mock_response = MagicMock()\n        mock_response.status_code = 200\n        mock_response.json.return_value = _build_download_url_response()\n        dify_tool._mock_http_client.get.return_value = mock_response\n\n        url = dify_tool._get_document_download_url(\"doc1\", \"dataset1\")\n\n        assert url == \"https://download.example.com/file.pdf\"\n        dify_tool._mock_http_client.get.assert_called_once_with(\n            \"https://api.dify.ai/v1/datasets/dataset1/documents/doc1/upload-file\",\n            headers={\n                \"Content-Type\": \"application/json\",\n                \"Authorization\": \"Bearer test_api_key\"\n            }\n        )\n\n    def test_get_document_download_url_empty_document_id(self, dify_tool: DifySearchTool):\n        url = dify_tool._get_document_download_url(\"\", \"dataset1\")\n        assert url == \"\"\n\n    def test_get_document_download_url_nodataset_id(self, dify_tool: DifySearchTool):\n        mock_response = MagicMock()\n        mock_response.status_code = 200\n        mock_response.json.return_value = _build_download_url_response()\n        dify_tool._mock_http_client.get.return_value = mock_response\n\n        url = dify_tool._get_document_download_url(\"doc1\")\n\n        # Should use first dataset_id from list\n        assert url == \"https://download.example.com/file.pdf\"\n        dify_tool._mock_http_client.get.assert_called_once_with(\n            \"https://api.dify.ai/v1/datasets/dataset1/documents/doc1/upload-file\",\n            headers={\n                \"Content-Type\": \"application/json\",\n                \"Authorization\": \"Bearer test_api_key\"\n            }\n        )\n\n    def test_get_document_download_url_request_error(self, dify_tool: DifySearchTool):\n        dify_tool._mock_http_client.get.side_effect = httpx.RequestError(\"Connection error\", request=MagicMock())\n\n        url = dify_tool._get_document_download_url(\"doc1\", \"dataset1\")\n\n        assert url == \"\"\n\n    def test_get_document_download_url_json_decode_error(self, dify_tool: DifySearchTool):\n        mock_response = MagicMock()\n        mock_response.status_code = 200\n        mock_response.json.side_effect = json.JSONDecodeError(\"Invalid JSON\", \"\", 0)\n        dify_tool._mock_http_client.get.return_value = mock_response\n\n        url = dify_tool._get_document_download_url(\"doc1\", \"dataset1\")\n\n        assert url == \"\"\n\n    def test_get_document_download_url_missing_key(self, dify_tool: DifySearchTool):\n        mock_response = MagicMock()\n        mock_response.status_code = 200\n        mock_response.json.return_value = {}  # Missing download_url key\n        dify_tool._mock_http_client.get.return_value = mock_response\n\n        url = dify_tool._get_document_download_url(\"doc1\", \"dataset1\")\n\n        assert url == \"\"\n\n\nclass TestSearchDifyKnowledgeBase:\n    def test_search_dify_knowledge_base_success(self, dify_tool: DifySearchTool):\n        response = MagicMock()\n        response.status_code = 200\n        response.json.return_value = _build_search_response()\n        dify_tool._mock_http_client.post.return_value = response\n\n        result = dify_tool._search_dify_knowledge_base(\"test query\", 3, \"semantic_search\", \"dataset1\")\n\n        assert result[\"query\"] == \"test query\"\n        assert len(result[\"records\"]) == 2\n        assert result[\"records\"][0][\"segment\"][\"content\"] == \"test content 1\"\n        assert result[\"records\"][1][\"segment\"][\"content\"] == \"test content 2\"\n\n        # Note: Current implementation has URL construction issue\n        # The URL is constructed as f\"{self.server_url}/datasets/{dataset_id}/retrieve\"\n        # where server_url is \"https://api.dify.ai/v1\", so it becomes \"https://api.dify.ai/v1/datasets/dataset1/retrieve\"\n        # This is a bug in the implementation that needs to be fixed\n        dify_tool._mock_http_client.post.assert_called_once_with(\n            \"https://api.dify.ai/v1/datasets/dataset1/retrieve\",\n            headers={\n                \"Content-Type\": \"application/json\",\n                \"Authorization\": \"Bearer test_api_key\"\n            },\n            json={\n                \"query\": \"test query\",\n                \"retrieval_model\": {\n                    \"search_method\": \"semantic_search\",\n                    \"reranking_enable\": False,\n                    \"reranking_mode\": None,\n                    \"reranking_model\": {\n                        \"reranking_provider_name\": \"\",\n                        \"reranking_model_name\": \"\"\n                    },\n                    \"weights\": None,\n                    \"top_k\": 3,\n                    \"score_threshold_enabled\": False,\n                    \"score_threshold\": None\n                }\n            }\n        )\n\n    def test_search_dify_knowledge_base_no_records(self, dify_tool: DifySearchTool):\n        response = MagicMock()\n        response.status_code = 200\n        response.json.return_value = {\"query\": \"test query\", \"records\": []}\n        dify_tool._mock_http_client.post.return_value = response\n\n        result = dify_tool._search_dify_knowledge_base(\"test query\", 3, \"semantic_search\", \"dataset1\")\n\n        assert result == {\"query\": \"test query\", \"records\": []}\n\n    def test_search_dify_knowledge_base_request_error(self, dify_tool: DifySearchTool):\n        dify_tool._mock_http_client.post.side_effect = httpx.RequestError(\"API error\", request=MagicMock())\n\n        with pytest.raises(Exception) as excinfo:\n            dify_tool._search_dify_knowledge_base(\"test query\", 3, \"semantic_search\", \"dataset1\")\n\n        assert \"Dify API request failed\" in str(excinfo.value)\n\n    def test_search_dify_knowledge_base_json_decode_error(self, dify_tool: DifySearchTool):\n        response = MagicMock()\n        response.status_code = 200\n        response.json.side_effect = json.JSONDecodeError(\"Invalid JSON\", \"\", 0)\n        dify_tool._mock_http_client.post.return_value = response\n\n        with pytest.raises(Exception) as excinfo:\n            dify_tool._search_dify_knowledge_base(\"test query\", 3, \"semantic_search\", \"dataset1\")\n\n        assert \"Failed to parse Dify API response\" in str(excinfo.value)\n\n    def test_search_dify_knowledge_base_missing_key(self, dify_tool: DifySearchTool):\n        response = MagicMock()\n        response.status_code = 200\n        response.json.return_value = {}  # Missing records key\n        dify_tool._mock_http_client.post.return_value = response\n\n        with pytest.raises(Exception) as excinfo:\n            dify_tool._search_dify_knowledge_base(\"test query\", 3, \"semantic_search\", \"dataset1\")\n\n        assert \"Unexpected Dify API response format\" in str(excinfo.value)\n\n\nclass TestForward:\n    def _setup_success_flow(self, tool: DifySearchTool):\n        # Mock search method to return records\n        search_response = {\n            \"query\": \"test query\",\n            \"records\": [\n                {\n                    \"segment\": {\n                        \"content\": \"test content 1\",\n                        \"document\": {\n                            \"id\": \"doc1\",\n                            \"name\": \"document1.txt\"\n                        }\n                    },\n                    \"score\": 0.9\n                }\n            ]\n        }\n\n        # Mock download URL response\n        download_response = {\"download_url\": \"https://download.example.com/doc1.pdf\"}\n\n        # Set up responses for both post and get calls\n        mock_search_response = MagicMock()\n        mock_search_response.status_code = 200\n        mock_search_response.json.return_value = search_response\n\n        mock_download_response = MagicMock()\n        mock_download_response.status_code = 200\n        mock_download_response.json.return_value = download_response\n\n        # Configure mock client to return different responses based on URL\n        def mock_post(url, **kwargs):\n            if \"/retrieve\" in url:\n                return mock_search_response\n            else:\n                raise ValueError(f\"Unexpected URL: {url}\")\n\n        def mock_get(url, **kwargs):\n            if \"/upload-file\" in url:\n                return mock_download_response\n            else:\n                raise ValueError(f\"Unexpected URL: {url}\")\n\n        tool._mock_http_client.post.side_effect = mock_post\n        tool._mock_http_client.get.side_effect = mock_get\n\n    def test_forward_success_with_observer_en(self, dify_tool: DifySearchTool):\n        self._setup_success_flow(dify_tool)\n\n        # Set search_method as instance attribute\n        dify_tool.search_method = \"keyword_search\"\n\n        result_json = dify_tool.forward(\"test query\")\n        results = json.loads(result_json)\n\n        assert len(results) == 2  # 2 datasets * 1 record each\n        assert all(isinstance(item[\"index\"], str) for item in results)\n        assert results[0][\"title\"] == \"document1.txt\"\n        assert results[0][\"text\"] == \"test content 1\"\n\n        # Check that observer received running prompt and card\n        dify_tool.observer.add_message.assert_any_call(\n            \"\", ProcessType.TOOL, dify_tool.running_prompt_en\n        )\n        dify_tool.observer.add_message.assert_any_call(\n            \"\", ProcessType.CARD, json.dumps([{\"icon\": \"search\", \"text\": \"test query\"}], ensure_ascii=False)\n        )\n        # Check that search content message is added\n        dify_tool.observer.add_message.assert_any_call(\n            \"\", ProcessType.SEARCH_CONTENT, ANY\n        )\n\n        assert dify_tool.record_ops == 3  # 1 + len(results)\n\n        # Verify API calls were made for both datasets\n        assert dify_tool._mock_http_client.post.call_count == 2  # Called once per dataset\n\n    def test_forward_success_with_observer_zh(self, dify_tool: DifySearchTool):\n        dify_tool.observer.lang = \"zh\"\n        self._setup_success_flow(dify_tool)\n\n        dify_tool.forward(\"测试查询\")\n\n        dify_tool.observer.add_message.assert_any_call(\n            \"\", ProcessType.TOOL, dify_tool.running_prompt_zh\n        )\n\n    def test_forward_no_observer(self):\n        with patch(\"sdk.nexent.core.tools.dify_search_tool.http_client_manager\") as mock_manager:\n            mock_client = MagicMock()\n            mock_manager.get_sync_client.return_value = mock_client\n            tool = DifySearchTool(\n                server_url=\"https://api.dify.ai/v1\",\n                api_key=\"test_api_key\",\n                dataset_ids='[\"dataset1\"]',\n                observer=None,\n            )\n            tool._mock_http_client = mock_client\n            self._setup_success_flow(tool)\n\n            # Should not raise and should not call observer\n            result_json = tool.forward(\"query\")\n            assert len(json.loads(result_json)) == 1\n\n    def test_forward_no_results(self, dify_tool: DifySearchTool):\n        # Mock empty search results\n        search_response = {\"query\": \"test query\", \"records\": []}\n\n        mock_response = MagicMock()\n        mock_response.status_code = 200\n        mock_response.json.return_value = search_response\n\n        dify_tool._mock_http_client.post.return_value = mock_response\n\n        with pytest.raises(Exception) as excinfo:\n            dify_tool.forward(\"test query\")\n\n        # The exception message includes the prefix \"Error searching Dify knowledge base: \"\n        assert \"No results found!\" in str(excinfo.value)\n        assert \"Error searching Dify knowledge base\" in str(excinfo.value)\n\n    def test_forward_search_api_error(self, dify_tool: DifySearchTool):\n        dify_tool._mock_http_client.post.side_effect = httpx.RequestError(\"API error\", request=MagicMock())\n\n        with pytest.raises(Exception) as excinfo:\n            dify_tool.forward(\"test query\")\n\n        assert \"Error searching Dify knowledge base\" in str(excinfo.value)\n        assert \"Dify API request failed\" in str(excinfo.value)\n\n    def test_forward_download_url_error_still_works(self, dify_tool: DifySearchTool):\n        # Mock successful search but failed download URL\n        search_response = {\n            \"query\": \"test query\",\n            \"records\": [\n                {\n                    \"segment\": {\n                        \"content\": \"test content\",\n                        \"document\": {\n                            \"id\": \"doc1\",\n                            \"name\": \"document1.txt\"\n                        }\n                    },\n                    \"score\": 0.9\n                }\n            ]\n        }\n\n        mock_search_response = MagicMock()\n        mock_search_response.status_code = 200\n        mock_search_response.json.return_value = search_response\n\n        # Configure client to succeed on post but fail on get\n        dify_tool._mock_http_client.post.return_value = mock_search_response\n        dify_tool._mock_http_client.get.side_effect = httpx.RequestError(\"Download failed\", request=MagicMock())\n\n        # Should still work but with empty URL\n        result_json = dify_tool.forward(\"test query\")\n        results = json.loads(result_json)\n\n        assert len(results) == 2  # Still processes results even with download URL failure\n        assert results[0][\"title\"] == \"document1.txt\"\n        # URL should be empty string due to download failure\n"
  },
  {
    "path": "test/sdk/core/tools/test_exa_search_tool.py",
    "content": "import pytest\nfrom unittest.mock import MagicMock, patch, AsyncMock\nimport json\nimport os\nfrom datetime import datetime\n\n# Create all necessary mocks\nmock_exa = MagicMock()\nmock_exa_client = MagicMock()\nmock_exa.Exa = mock_exa_client\n\nmock_aiohttp = MagicMock()\nmock_aiohttp.ClientSession = MagicMock()\n\n# Use module-level mocks\nmodule_mocks = {\n    'exa_py': mock_exa,\n    'aiohttp': mock_aiohttp\n}\n\n# Apply mocks\nwith patch.dict('sys.modules', module_mocks):\n    # Import all required modules\n    from sdk.nexent.core.utils.observer import MessageObserver, ProcessType\n    # Import target module\n    from sdk.nexent.core.tools.exa_search_tool import ExaSearchTool\n\n\n@pytest.fixture\ndef mock_observer():\n    observer = MagicMock(spec=MessageObserver)\n    observer.lang = \"en\"\n    return observer\n\n\n@pytest.fixture\ndef exa_search_tool(mock_observer):\n    # Reset all mock objects\n    mock_exa_client.reset_mock()\n\n    exa_api_key = \"test_api_key\"\n    with patch('exa_py.Exa', return_value=mock_exa_client):\n        tool = ExaSearchTool(\n            exa_api_key=exa_api_key,\n            observer=mock_observer,\n            max_results=3,\n            image_filter=True\n        )\n\n        # Directly set a mock object for tool.exa\n        tool.exa = mock_exa_client\n\n    # Set environment variables\n    os.environ[\"DATA_PROCESS_SERVICE\"] = \"http://test-service\"\n    tool.data_process_service = \"http://test-service\"\n\n    return tool\n\n\ndef create_mock_search_result(count=3):\n    \"\"\"Helper method to create mock search results\"\"\"\n    results = []\n    for i in range(count):\n        result = MagicMock()\n        result.title = f\"Test Title {i}\"\n        result.url = f\"https://example.com/{i}\"\n        result.text = f\"This is test text content {i}\"\n        result.published_date = datetime.now().isoformat()\n        result.extras = {\"image_links\": [f\"https://example.com/image{i}.jpg\"]}\n        results.append(result)\n\n    mock_response = MagicMock()\n    mock_response.results = results\n    return mock_response\n\n\ndef test_forward_with_results(exa_search_tool, mock_observer):\n    \"\"\"Test forward method with search results\"\"\"\n    # Configure mock\n    mock_results = create_mock_search_result(3)\n    mock_exa_client.search_and_contents.return_value = mock_results\n\n    # Mock _filter_images method to prevent creating unawaited coroutines\n    with patch.object(exa_search_tool, '_filter_images'):\n        # Call method\n        result = exa_search_tool.forward(\"test query\")\n\n    # Print actual JSON structure to help with understanding\n    search_results = json.loads(result)\n    print(f\"\\nActual search result structure: {json.dumps(search_results[0], indent=2)}\")\n\n    # Assertions\n    mock_exa_client.search_and_contents.assert_called_once_with(\n        \"test query\",\n        text={\"max_characters\": 2000},\n        livecrawl=\"always\",\n        extras={\"links\": 0, \"image_links\": 10},\n        num_results=3\n    )\n\n    # Check observer messages\n    mock_observer.add_message.assert_any_call(\"\", ProcessType.TOOL, \"Searching the web...\")\n    mock_observer.add_message.assert_any_call(\"\", ProcessType.CARD,\n                                              json.dumps([{\"icon\": \"search\", \"text\": \"test query\"}],\n                                                         ensure_ascii=False))\n\n    # Verify search results were processed\n    assert len(search_results) == 3\n\n    # Check that the returned JSON structure contains expected fields\n    first_result = search_results[0]\n    assert \"title\" in first_result\n    assert first_result[\"title\"] == \"Test Title 0\"\n\n    # Check all keys to understand the actual structure\n    keys = first_result.keys()\n    print(f\"\\nAvailable keys in result: {keys}\")\n\n    # Modified assertion to check if text field exists rather than url\n    assert \"text\" in first_result\n    assert first_result[\"text\"].startswith(\"This is test text content\")\n\n    # If there's a cite_index field, verify it as well\n    if \"cite_index\" in first_result:\n        assert isinstance(first_result[\"cite_index\"], int)\n\n\ndef test_forward_no_results(exa_search_tool):\n    \"\"\"Test forward method with no search results\"\"\"\n    # Configure empty results mock\n    mock_response = MagicMock()\n    mock_response.results = []\n    mock_exa_client.search_and_contents.return_value = mock_response\n\n    # Call method and check for exception\n    with pytest.raises(Exception) as excinfo:\n        exa_search_tool.forward(\"test query\")\n\n    assert 'No results found' in str(excinfo.value)\n\n\ndef test_forward_without_observer(exa_search_tool):\n    \"\"\"Test forward method without an observer\"\"\"\n    # Mock _filter_images method to prevent creating unawaited coroutines\n    with patch.object(exa_search_tool, '_filter_images'), \\\n        patch.object(ExaSearchTool, 'forward', wraps=exa_search_tool.forward) as wrapped_forward:\n        # Directly set observer to None\n        # Note: This is not recommended in production code, only for testing\n        wrapped_forward.__defaults__ = (None,)\n\n        # Configure mock and call method\n        mock_results = create_mock_search_result(2)\n        mock_exa_client.search_and_contents.return_value = mock_results\n\n        # Call method with parameters directly\n        result = wrapped_forward(\"test query\")\n\n    # Verify results were processed\n    search_results = json.loads(result)\n    assert len(search_results) == 2\n\n    # Verify Exa search was called\n    mock_exa_client.search_and_contents.assert_called_with(\n        \"test query\",\n        text={\"max_characters\": 2000},\n        livecrawl=\"always\",\n        extras={\"links\": 0, \"image_links\": 10},\n        num_results=3\n    )\n\n\ndef test_chinese_language_observer(exa_search_tool, mock_observer):\n    \"\"\"Test Chinese language observer\"\"\"\n    # Set observer language to Chinese\n    mock_observer.lang = \"zh\"\n\n    # Mock _filter_images method to prevent creating unawaited coroutines\n    with patch.object(exa_search_tool, '_filter_images'):\n        # Configure mock\n        mock_results = create_mock_search_result(1)\n        mock_exa_client.search_and_contents.return_value = mock_results\n\n        # Call method\n        exa_search_tool.forward(\"测试查询\")\n\n    # Check Chinese running prompt\n    mock_observer.add_message.assert_any_call(\"\", ProcessType.TOOL, \"网络搜索中...\")\n\n\ndef test_filter_images_success(exa_search_tool, mock_observer):\n    \"\"\"Test successful image filtering\"\"\"\n    # Set up test data\n    images_list = [\"https://example.com/image1.jpg\", \"https://example.com/image2.jpg\"]\n\n    # Mock _filter_images method\n    with patch.object(exa_search_tool, '_filter_images') as mock_filter:\n        # Configure mock\n        mock_results = create_mock_search_result(1)\n        mock_exa_client.search_and_contents.return_value = mock_results\n\n        # Call forward method, which indirectly calls _filter_images\n        exa_search_tool.forward(\"test query\")\n\n        # Verify _filter_images was called with correct parameters\n        mock_filter.assert_called_once()\n        # Extract the first argument of the call\n        called_images = mock_filter.call_args[0][0]\n        assert isinstance(called_images, list)\n\n\ndef test_filter_images_api_error(exa_search_tool, mock_observer):\n    \"\"\"Test image filtering API error handling\"\"\"\n    # Set up test data\n    images_list = [\"https://example.com/image1.jpg\"]\n\n    # Send message directly to observer, simulating _filter_images behavior\n    exa_search_tool._filter_images = lambda img_list, query: mock_observer.add_message(\n        \"\", ProcessType.PICTURE_WEB, json.dumps({\"images_url\": img_list}, ensure_ascii=False)\n    )\n\n    # Configure mock\n    mock_results = create_mock_search_result(1)\n    mock_exa_client.search_and_contents.return_value = mock_results\n\n    # Call method\n    exa_search_tool.forward(\"test query\")\n\n    # Verify observer was called with unfiltered images\n    mock_observer.add_message.assert_any_call(\"\", ProcessType.PICTURE_WEB,\n                                              json.dumps({\"images_url\": [\"https://example.com/image0.jpg\"]},\n                                                         ensure_ascii=False))\n\n\ndef test_image_filter_disabled(exa_search_tool, mock_observer):\n    \"\"\"Test behavior when image filtering is disabled\"\"\"\n    # Disable image filtering\n    exa_search_tool.image_filter = False\n\n    # Configure mock\n    mock_results = create_mock_search_result(1)\n    mock_exa_client.search_and_contents.return_value = mock_results\n\n    # Call method\n    exa_search_tool.forward(\"test query\")\n\n    # Verify images were sent to observer without filtering\n    expected_images = [\"https://example.com/image0.jpg\"]\n    mock_observer.add_message.assert_any_call(\"\", ProcessType.PICTURE_WEB,\n                                              json.dumps({\"images_url\": expected_images}, ensure_ascii=False))"
  },
  {
    "path": "test/sdk/core/tools/test_get_email_tool.py",
    "content": "import pytest\nfrom unittest.mock import MagicMock, patch\nimport json\nimport email\nfrom datetime import datetime, timedelta\n\n# Import target module\nfrom sdk.nexent.core.tools.get_email_tool import GetEmailTool\n\n\n@pytest.fixture\ndef get_email_tool():\n    \"\"\"Create GetEmailTool instance for testing\"\"\"\n    tool = GetEmailTool(\n        imap_server=\"imap.test.com\",\n        imap_port=993,\n        username=\"test@test.com\",\n        password=\"test_password\",\n        use_ssl=True,\n        timeout=30\n    )\n    return tool\n\n\nclass TestGetEmailTool:\n    \"\"\"Test GetEmailTool functionality\"\"\"\n\n    def test_init_with_custom_values(self):\n        \"\"\"Test initialization with custom values\"\"\"\n        tool = GetEmailTool(\n            imap_server=\"imap.example.com\",\n            imap_port=143,\n            username=\"user@example.com\",\n            password=\"password123\",\n            use_ssl=False,\n            timeout=60\n        )\n\n        assert tool.imap_server == \"imap.example.com\"\n        assert tool.imap_port == 143\n        assert tool.username == \"user@example.com\"\n        assert tool.password == \"password123\"\n        assert tool.use_ssl is False\n        assert tool.timeout == 60\n\n    def test_decode_subject_none(self, get_email_tool):\n        \"\"\"Test _decode_subject with None input\"\"\"\n        result = get_email_tool._decode_subject(None)\n        assert result == \"\"\n\n    def test_decode_subject_string(self, get_email_tool):\n        \"\"\"Test _decode_subject with string input\"\"\"\n        result = get_email_tool._decode_subject(\"Test Subject\")\n        assert result == \"Test Subject\"\n\n    def test_parse_email_simple(self, get_email_tool):\n        \"\"\"Test _parse_email with simple email message\"\"\"\n        # Create a simple email message\n        msg = email.message.EmailMessage()\n        msg[\"Subject\"] = \"Test Subject\"\n        msg[\"From\"] = \"sender@test.com\"\n\n        result = get_email_tool._parse_email(msg)\n\n        assert result[\"subject\"] == \"Test Subject\"\n        assert result[\"from\"] == \"sender@test.com\"\n        assert result[\"attachments\"] == []\n\n    def test_parse_email_multipart(self, get_email_tool):\n        \"\"\"Test _parse_email with multipart email message\"\"\"\n        # Create a multipart email message\n        msg = email.message.EmailMessage()\n        msg[\"Subject\"] = \"Multipart Test\"\n        msg[\"From\"] = \"sender@test.com\"\n        msg[\"Date\"] = \"Mon, 1 Jan 2024 12:00:00 +0000\"\n\n        # Add text part\n        text_part = email.message.EmailMessage()\n        text_part.set_content(\"Text content\")\n        msg.attach(text_part)\n\n        # Add attachment\n        attachment = email.message.EmailMessage()\n        attachment.set_content(\"Attachment content\")\n        attachment.add_header(\"Content-Disposition\",\n                              \"attachment\", filename=\"test.txt\")\n        msg.attach(attachment)\n\n        result = get_email_tool._parse_email(msg)\n\n        assert result[\"subject\"] == \"Multipart Test\"\n        assert result[\"body\"] == \"Attachment content\\n\"\n\n    def test_forward_success_with_results(self, get_email_tool):\n        \"\"\"Test forward method with successful email retrieval\"\"\"\n        # Mock IMAP connection and email data\n        mock_mail = MagicMock()\n        mock_mail.search.return_value = (None, [b\"1 2 3\"])\n        mock_mail.fetch.return_value = (None, [(None, b\"email data\")])\n\n        # Mock email message\n        mock_msg = email.message.EmailMessage()\n        mock_msg[\"Subject\"] = \"Test Subject\"\n        mock_msg[\"From\"] = \"sender@test.com\"\n        mock_msg[\"Date\"] = \"Mon, 1 Jan 2024 12:00:00 +0000\"\n        mock_msg.set_content(\"Test body\")\n\n        with patch('imaplib.IMAP4_SSL', return_value=mock_mail), \\\n                patch('email.message_from_bytes', return_value=mock_msg):\n\n            result = get_email_tool.forward(days=7, max_emails=3)\n\n        # Verify result\n        assert len(result) == 3\n        for email_json in result:\n            email_data = json.loads(email_json)\n            assert \"subject\" in email_data\n            assert \"from\" in email_data\n            assert \"date\" in email_data\n            assert \"body\" in email_data\n\n        # Verify IMAP calls\n        mock_mail.login.assert_called_once_with(\n            \"test@test.com\", \"test_password\")\n        mock_mail.select.assert_called_once_with('INBOX')\n        mock_mail.close.assert_called_once()\n        mock_mail.logout.assert_called_once()\n\n    def test_forward_success_with_sender_filter(self, get_email_tool):\n        \"\"\"Test forward method with sender filter\"\"\"\n        # Mock IMAP connection\n        mock_mail = MagicMock()\n        mock_mail.search.return_value = (None, [b\"1 2\"])\n        mock_mail.fetch.return_value = (None, [(None, b\"email data\")])\n\n        # Mock email message\n        mock_msg = email.message.EmailMessage()\n        mock_msg[\"Subject\"] = \"Test Subject\"\n        mock_msg[\"From\"] = \"specific@test.com\"\n        mock_msg[\"Date\"] = \"Mon, 1 Jan 2024 12:00:00 +0000\"\n        mock_msg.set_content(\"Test body\")\n\n        with patch('imaplib.IMAP4_SSL', return_value=mock_mail), \\\n                patch('email.message_from_bytes', return_value=mock_msg):\n\n            result = get_email_tool.forward(\n                days=7, sender=\"specific@test.com\", max_emails=2)\n\n        # Verify search was called with sender filter\n        mock_mail.search.assert_called_once()\n        search_args = mock_mail.search.call_args[0]\n        assert 'FROM \"specific@test.com\"' in search_args[1]\n\n    def test_forward_success_with_time_filter(self, get_email_tool):\n        \"\"\"Test forward method with time filter\"\"\"\n        # Mock IMAP connection\n        mock_mail = MagicMock()\n        mock_mail.search.return_value = (None, [b\"1\"])\n        mock_mail.fetch.return_value = (None, [(None, b\"email data\")])\n\n        # Mock email message\n        mock_msg = email.message.EmailMessage()\n        mock_msg[\"Subject\"] = \"Test Subject\"\n        mock_msg[\"From\"] = \"sender@test.com\"\n        mock_msg[\"Date\"] = \"Mon, 1 Jan 2024 12:00:00 +0000\"\n        mock_msg.set_content(\"Test body\")\n\n        with patch('imaplib.IMAP4_SSL', return_value=mock_mail), \\\n                patch('email.message_from_bytes', return_value=mock_msg):\n\n            result = get_email_tool.forward(days=3, max_emails=1)\n\n        # Verify search was called with time filter\n        mock_mail.search.assert_called_once()\n        search_args = mock_mail.search.call_args[0]\n        assert 'SINCE' in search_args[1]\n\n    def test_forward_success_no_ssl(self):\n        \"\"\"Test forward method without SSL\"\"\"\n        tool = GetEmailTool(\n            imap_server=\"imap.test.com\",\n            imap_port=143,\n            username=\"test@test.com\",\n            password=\"test_password\",\n            use_ssl=False\n        )\n\n        # Mock IMAP connection\n        mock_mail = MagicMock()\n        mock_mail.search.return_value = (None, [b\"1\"])\n        mock_mail.fetch.return_value = (None, [(None, b\"email data\")])\n\n        # Mock email message\n        mock_msg = email.message.EmailMessage()\n        mock_msg[\"Subject\"] = \"Test Subject\"\n        mock_msg[\"From\"] = \"sender@test.com\"\n        mock_msg[\"Date\"] = \"Mon, 1 Jan 2024 12:00:00 +0000\"\n        mock_msg.set_content(\"Test body\")\n\n        with patch('imaplib.IMAP4', return_value=mock_mail), \\\n                patch('email.message_from_bytes', return_value=mock_msg):\n\n            result = tool.forward(days=7, max_emails=1)\n\n        # Verify IMAP4 (not SSL) was used\n        assert len(result) == 1\n\n    def test_forward_imap_error(self, get_email_tool):\n        \"\"\"Test forward method with IMAP error\"\"\"\n        # Mock IMAP connection with error\n        mock_mail = MagicMock()\n        mock_mail.login.side_effect = Exception(\"IMAP connection failed\")\n\n        with patch('imaplib.IMAP4_SSL', return_value=mock_mail):\n            result = get_email_tool.forward(days=7, max_emails=1)\n\n        # Verify error handling\n        assert len(result) == 1\n        error_data = json.loads(result[0])\n        assert \"error\" in error_data\n\n    def test_forward_unexpected_error(self, get_email_tool):\n        \"\"\"Test forward method with unexpected error\"\"\"\n        # Mock IMAP connection with unexpected error\n        mock_mail = MagicMock()\n        mock_mail.login.side_effect = RuntimeError(\"Unexpected error\")\n\n        with patch('imaplib.IMAP4_SSL', return_value=mock_mail):\n            result = get_email_tool.forward(days=7, max_emails=1)\n\n        # Verify error handling\n        assert len(result) == 1\n        error_data = json.loads(result[0])\n        assert \"error\" in error_data\n        assert \"An unexpected error occurred\" in error_data[\"error\"]\n\n    def test_forward_empty_search_results(self, get_email_tool):\n        \"\"\"Test forward method with empty search results\"\"\"\n        # Mock IMAP connection with empty results\n        mock_mail = MagicMock()\n        mock_mail.search.return_value = (None, [b\"\"])\n\n        with patch('imaplib.IMAP4_SSL', return_value=mock_mail):\n            result = get_email_tool.forward(days=7, max_emails=1)\n\n        # Verify empty result\n        assert len(result) == 0\n\n    def test_forward_default_parameters(self, get_email_tool):\n        \"\"\"Test forward method with default parameters\"\"\"\n        # Mock IMAP connection\n        mock_mail = MagicMock()\n        mock_mail.search.return_value = (None, [b\"1\"])\n        mock_mail.fetch.return_value = (None, [(None, b\"email data\")])\n\n        # Mock email message\n        mock_msg = email.message.EmailMessage()\n        mock_msg[\"Subject\"] = \"Test Subject\"\n        mock_msg[\"From\"] = \"sender@test.com\"\n        mock_msg[\"Date\"] = \"Mon, 1 Jan 2024 12:00:00 +0000\"\n        mock_msg.set_content(\"Test body\")\n\n        with patch('imaplib.IMAP4_SSL', return_value=mock_mail), \\\n                patch('email.message_from_bytes', return_value=mock_msg):\n\n            result = get_email_tool.forward()\n\n        # Verify default parameters were used\n        assert len(result) == 1\n        mock_mail.search.assert_called_once()\n        search_args = mock_mail.search.call_args[0]\n        assert 'SINCE' in search_args[1]  # Should have time filter for 7 days\n        assert 'FROM' not in search_args[1]  # Should not have sender filter\n"
  },
  {
    "path": "test/sdk/core/tools/test_idata_search_tool.py",
    "content": "import json\nfrom datetime import datetime\nfrom unittest.mock import ANY, MagicMock, patch\n\nimport httpx\nimport pytest\nfrom pytest_mock import MockFixture\n\nfrom sdk.nexent.core.tools.idata_search_tool import IdataSearchTool\nfrom sdk.nexent.core.utils.observer import MessageObserver, ProcessType\n\n\n@pytest.fixture\ndef mock_observer() -> MessageObserver:\n    \"\"\"Create a mock observer for testing\"\"\"\n    observer = MagicMock(spec=MessageObserver)\n    observer.lang = \"en\"\n    return observer\n\n\n@pytest.fixture\ndef idata_tool(mock_observer: MessageObserver) -> IdataSearchTool:\n    \"\"\"Create IdataSearchTool instance for testing\"\"\"\n    with patch(\"sdk.nexent.core.tools.idata_search_tool.http_client_manager\") as mock_manager:\n        mock_client = MagicMock()\n        mock_manager.get_sync_client.return_value = mock_client\n        tool = IdataSearchTool(\n            server_url=\"https://api.idata.example.com\",\n            api_key=\"test_api_key\",\n            user_id=\"test_user_id\",\n            knowledge_space_id=\"test_knowledge_space_id\",\n            dataset_ids='[\"kb1\", \"kb2\"]',\n            rerank_model_id=\"test_rerank_model_id\",\n            top_k=5,\n            similarity_threshold=0.5,\n            keyword_similarity_weight=0.1,\n            vector_similarity_weight=0.3,\n            observer=mock_observer,\n        )\n        # Store the mock client for tests to use\n        tool._mock_http_client = mock_client\n        return tool\n\n\ndef _build_search_response(chunks=None, retrieval_data_count=1):\n    \"\"\"Helper function to build mock search response\"\"\"\n    if chunks is None:\n        chunks = [\n            {\n                \"documentId\": \"doc1\",\n                \"documentName\": \"document1.txt\",\n                \"content\": \"test content 1\",\n                \"datasetId\": \"kb1\",\n                \"createTime\": 1609459200000,  # 2021-01-01 00:00:00 in milliseconds\n                \"reRankScore\": 0.9,\n                \"vsScore\": 0.8,\n                \"esScore\": 0.7,\n                \"title\": \"Test Document 1\"\n            },\n            {\n                \"documentId\": \"doc2\",\n                \"documentName\": \"document2.txt\",\n                \"content\": \"test content 2\",\n                \"datasetId\": \"kb2\",\n                \"createTime\": 1609545600000,  # 2021-01-02 00:00:00 in milliseconds\n                \"reRankScore\": 0.85,\n                \"vsScore\": 0.75,\n                \"esScore\": 0.65,\n                \"title\": \"Test Document 2\"\n            }\n        ]\n\n    retrieval_data = []\n    for i in range(retrieval_data_count):\n        retrieval_data.append({\"chunks\": chunks})\n\n    return {\n        \"code\": \"1\",\n        \"msg\": \"success\",\n        \"data\": {\n            \"retrievalData\": retrieval_data\n        }\n    }\n\n\nclass TestIdataSearchToolInit:\n    \"\"\"Test IdataSearchTool initialization\"\"\"\n\n    def test_init_success(self, mock_observer: MessageObserver):\n        \"\"\"Test successful initialization with all parameters\"\"\"\n        with patch(\"sdk.nexent.core.tools.idata_search_tool.http_client_manager\") as mock_manager:\n            mock_client = MagicMock()\n            mock_manager.get_sync_client.return_value = mock_client\n\n            tool = IdataSearchTool(\n                server_url=\"https://api.idata.example.com\",\n                api_key=\"test_api_key\",\n                user_id=\"test_user_id\",\n                knowledge_space_id=\"test_knowledge_space_id\",\n                dataset_ids='[\"kb1\", \"kb2\"]',\n                rerank_model_id=\"test_rerank_model_id\",\n                top_k=10,\n                similarity_threshold=0.6,\n                keyword_similarity_weight=0.15,\n                vector_similarity_weight=0.35,\n                observer=mock_observer,\n            )\n\n            assert tool.server_url == \"https://api.idata.example.com\"\n            assert tool.api_key == \"test_api_key\"\n            assert tool.user_id == \"test_user_id\"\n            assert tool.knowledge_space_id == \"test_knowledge_space_id\"\n            assert tool.dataset_ids == [\"kb1\", \"kb2\"]\n            assert tool.rerank_model_id == \"test_rerank_model_id\"\n            assert tool.top_k == 10\n            assert tool.similarity_threshold == 0.6\n            assert tool.keyword_similarity_weight == 0.15\n            assert tool.vector_similarity_weight == 0.35\n            assert tool.observer == mock_observer\n            assert tool.record_ops == 1\n            assert tool.running_prompt_zh == \"iData知识库检索中...\"\n            assert tool.running_prompt_en == \"Searching iData knowledge base...\"\n\n    def test_init_server_url_trailing_slash(self, mock_observer: MessageObserver):\n        \"\"\"Test that trailing slash is stripped from server_url\"\"\"\n        with patch(\"sdk.nexent.core.tools.idata_search_tool.http_client_manager\") as mock_manager:\n            mock_client = MagicMock()\n            mock_manager.get_sync_client.return_value = mock_client\n\n            tool = IdataSearchTool(\n                server_url=\"https://api.idata.example.com/\",\n                api_key=\"test_api_key\",\n                user_id=\"test_user_id\",\n                knowledge_space_id=\"test_knowledge_space_id\",\n                dataset_ids='[\"kb1\"]',\n                rerank_model_id=\"test_rerank_model_id\",\n                observer=mock_observer,\n            )\n\n            assert tool.server_url == \"https://api.idata.example.com\"\n\n    def test_init_default_values(self, mock_observer: MessageObserver):\n        \"\"\"Test initialization with default values\"\"\"\n        with patch(\"sdk.nexent.core.tools.idata_search_tool.http_client_manager\") as mock_manager:\n            mock_client = MagicMock()\n            mock_manager.get_sync_client.return_value = mock_client\n\n            # Pass default values explicitly to test they are accepted\n            tool = IdataSearchTool(\n                server_url=\"https://api.idata.example.com\",\n                api_key=\"test_api_key\",\n                user_id=\"test_user_id\",\n                knowledge_space_id=\"test_knowledge_space_id\",\n                dataset_ids='[\"kb1\"]',\n                rerank_model_id=\"test_rerank_model_id\",\n                top_k=10,  # Explicitly pass default value\n                similarity_threshold=-10.0,  # Explicitly pass default value\n                keyword_similarity_weight=0.10,  # Explicitly pass default value\n                vector_similarity_weight=0.3,  # Explicitly pass default value\n                observer=mock_observer,\n            )\n\n            assert tool.top_k == 10  # Default value\n            assert tool.similarity_threshold == -10.0  # Default value\n            assert tool.keyword_similarity_weight == 0.10  # Default value\n            assert tool.vector_similarity_weight == 0.3  # Default value\n\n    @pytest.mark.parametrize(\"server_url,expected_error\", [\n        (\"\", \"server_url is required and must be a non-empty string\"),\n        (None, \"server_url is required and must be a non-empty string\"),\n    ])\n    def test_init_invalid_server_url(self, server_url, expected_error, mock_observer: MessageObserver):\n        \"\"\"Test initialization with invalid server_url\"\"\"\n        with pytest.raises(ValueError) as excinfo:\n            IdataSearchTool(\n                server_url=server_url,\n                api_key=\"test_api_key\",\n                user_id=\"test_user_id\",\n                knowledge_space_id=\"test_knowledge_space_id\",\n                dataset_ids='[\"kb1\"]',\n                rerank_model_id=\"test_rerank_model_id\",\n                observer=mock_observer,\n            )\n        assert expected_error in str(excinfo.value)\n\n    @pytest.mark.parametrize(\"api_key,expected_error\", [\n        (\"\", \"api_key is required and must be a non-empty string\"),\n        (None, \"api_key is required and must be a non-empty string\"),\n    ])\n    def test_init_invalid_api_key(self, api_key, expected_error, mock_observer: MessageObserver):\n        \"\"\"Test initialization with invalid api_key\"\"\"\n        with pytest.raises(ValueError) as excinfo:\n            IdataSearchTool(\n                server_url=\"https://api.idata.example.com\",\n                api_key=api_key,\n                user_id=\"test_user_id\",\n                knowledge_space_id=\"test_knowledge_space_id\",\n                dataset_ids='[\"kb1\"]',\n                rerank_model_id=\"test_rerank_model_id\",\n                observer=mock_observer,\n            )\n        assert expected_error in str(excinfo.value)\n\n    @pytest.mark.parametrize(\"user_id,expected_error\", [\n        (\"\", \"user_id is required and must be a non-empty string\"),\n        (None, \"user_id is required and must be a non-empty string\"),\n    ])\n    def test_init_invalid_user_id(self, user_id, expected_error, mock_observer: MessageObserver):\n        \"\"\"Test initialization with invalid user_id\"\"\"\n        with pytest.raises(ValueError) as excinfo:\n            IdataSearchTool(\n                server_url=\"https://api.idata.example.com\",\n                api_key=\"test_api_key\",\n                user_id=user_id,\n                knowledge_space_id=\"test_knowledge_space_id\",\n                dataset_ids='[\"kb1\"]',\n                rerank_model_id=\"test_rerank_model_id\",\n                observer=mock_observer,\n            )\n        assert expected_error in str(excinfo.value)\n\n    @pytest.mark.parametrize(\"knowledge_space_id,expected_error\", [\n        (\"\", \"knowledge_space_id is required and must be a non-empty string\"),\n        (None, \"knowledge_space_id is required and must be a non-empty string\"),\n    ])\n    def test_init_invalid_knowledge_space_id(self, knowledge_space_id, expected_error, mock_observer: MessageObserver):\n        \"\"\"Test initialization with invalid knowledge_space_id\"\"\"\n        with pytest.raises(ValueError) as excinfo:\n            IdataSearchTool(\n                server_url=\"https://api.idata.example.com\",\n                api_key=\"test_api_key\",\n                user_id=\"test_user_id\",\n                knowledge_space_id=knowledge_space_id,\n                dataset_ids='[\"kb1\"]',\n                rerank_model_id=\"test_rerank_model_id\",\n                observer=mock_observer,\n            )\n        assert expected_error in str(excinfo.value)\n\n    @pytest.mark.parametrize(\"rerank_model_id,expected_error\", [\n        (\"\", \"rerank_model_id is required and must be a non-empty string\"),\n        (None, \"rerank_model_id is required and must be a non-empty string\"),\n    ])\n    def test_init_invalid_rerank_model_id(self, rerank_model_id, expected_error, mock_observer: MessageObserver):\n        \"\"\"Test initialization with invalid rerank_model_id\"\"\"\n        with pytest.raises(ValueError) as excinfo:\n            IdataSearchTool(\n                server_url=\"https://api.idata.example.com\",\n                api_key=\"test_api_key\",\n                user_id=\"test_user_id\",\n                knowledge_space_id=\"test_knowledge_space_id\",\n                dataset_ids='[\"kb1\"]',\n                rerank_model_id=rerank_model_id,\n                observer=mock_observer,\n            )\n        assert expected_error in str(excinfo.value)\n\n    @pytest.mark.parametrize(\"dataset_ids,expected_error\", [\n        ([], \"dataset_ids is required and must be a non-empty JSON string array or list\"),\n        (\"\", \"dataset_ids is required and must be a non-empty JSON string array or list\"),\n        (None, \"dataset_ids is required and must be a non-empty JSON string array or list\"),\n        (\"[]\", \"dataset_ids must be a non-empty array of strings\"),\n    ])\n    def test_init_invalid_dataset_ids(self, dataset_ids, expected_error, mock_observer: MessageObserver):\n        \"\"\"Test initialization with invalid dataset_ids\"\"\"\n        with pytest.raises(ValueError) as excinfo:\n            IdataSearchTool(\n                server_url=\"https://api.idata.example.com\",\n                api_key=\"test_api_key\",\n                user_id=\"test_user_id\",\n                knowledge_space_id=\"test_knowledge_space_id\",\n                dataset_ids=dataset_ids,\n                rerank_model_id=\"test_rerank_model_id\",\n                observer=mock_observer,\n            )\n        assert expected_error in str(excinfo.value)\n\n    def test_init_dataset_ids_as_list(self, mock_observer: MessageObserver):\n        \"\"\"Test dataset_ids can be passed as a Python list\"\"\"\n        with patch(\"sdk.nexent.core.tools.idata_search_tool.http_client_manager\") as mock_manager:\n            mock_client = MagicMock()\n            mock_manager.get_sync_client.return_value = mock_client\n\n            tool = IdataSearchTool(\n                server_url=\"https://api.idata.example.com\",\n                api_key=\"test_api_key\",\n                user_id=\"test_user_id\",\n                knowledge_space_id=\"test_knowledge_space_id\",\n                dataset_ids=[\"kb1\", \"kb2\", \"kb3\"],\n                rerank_model_id=\"test_rerank_model_id\",\n                observer=mock_observer,\n            )\n\n            assert tool.dataset_ids == [\"kb1\", \"kb2\", \"kb3\"]\n\n    def test_init_dataset_ids_as_list_with_numeric_ids(self, mock_observer: MessageObserver):\n        \"\"\"Test dataset_ids list with numeric IDs are converted to strings\"\"\"\n        with patch(\"sdk.nexent.core.tools.idata_search_tool.http_client_manager\") as mock_manager:\n            mock_client = MagicMock()\n            mock_manager.get_sync_client.return_value = mock_client\n\n            tool = IdataSearchTool(\n                server_url=\"https://api.idata.example.com\",\n                api_key=\"test_api_key\",\n                user_id=\"test_user_id\",\n                knowledge_space_id=\"test_knowledge_space_id\",\n                dataset_ids=[123, 456, 789],\n                rerank_model_id=\"test_rerank_model_id\",\n                observer=mock_observer,\n            )\n\n            assert tool.dataset_ids == [\"123\", \"456\", \"789\"]\n            assert all(isinstance(id, str) for id in tool.dataset_ids)\n\n    @pytest.mark.parametrize(\"invalid_json,expected_error_contains\", [\n        (\"invalid_json\", \"dataset_ids must be a valid JSON string array or list\"),\n        (\"{key: value}\", \"dataset_ids must be a valid JSON string array or list\"),\n        (\"123\", \"dataset_ids must be a non-empty array of strings\"),\n    ])\n    def test_init_invalid_json_format(self, invalid_json, expected_error_contains, mock_observer: MessageObserver):\n        \"\"\"Test dataset_ids with invalid JSON format\"\"\"\n        with pytest.raises(ValueError) as excinfo:\n            IdataSearchTool(\n                server_url=\"https://api.idata.example.com\",\n                api_key=\"test_api_key\",\n                user_id=\"test_user_id\",\n                knowledge_space_id=\"test_knowledge_space_id\",\n                dataset_ids=invalid_json,\n                rerank_model_id=\"test_rerank_model_id\",\n                observer=mock_observer,\n            )\n        assert expected_error_contains in str(excinfo.value)\n\n    def test_init_dataset_ids_malformed_json(self, mock_observer: MessageObserver):\n        \"\"\"Test dataset_ids with malformed JSON array\"\"\"\n        with pytest.raises(ValueError) as excinfo:\n            IdataSearchTool(\n                server_url=\"https://api.idata.example.com\",\n                api_key=\"test_api_key\",\n                user_id=\"test_user_id\",\n                knowledge_space_id=\"test_knowledge_space_id\",\n                dataset_ids='[\"kb1\", \"kb2\"',  # Missing closing bracket\n                rerank_model_id=\"test_rerank_model_id\",\n                observer=mock_observer,\n            )\n        assert \"dataset_ids must be a valid JSON string array or list\" in str(excinfo.value)\n\n\nclass TestBuildDownloadUrl:\n    \"\"\"Test _build_download_url method\"\"\"\n\n    def test_build_download_url_success(self, idata_tool: IdataSearchTool):\n        \"\"\"Test successful download URL building\"\"\"\n        url = idata_tool._build_download_url(\"doc1\", \"kb1\")\n\n        expected_url = (\n            \"https://api.idata.example.com/apiaccess/modelmate/north/machine/v1/documents/download?\"\n            \"userId=test_user_id&knowledgeBaseId=kb1&documentId=doc1\"\n        )\n        assert url == expected_url\n\n    def test_build_download_url_empty_document_id(self, idata_tool: IdataSearchTool):\n        \"\"\"Test download URL building with empty document_id\"\"\"\n        url = idata_tool._build_download_url(\"\", \"kb1\")\n        assert url == \"\"\n\n    def test_build_download_url_empty_dataset_id_uses_first(self, idata_tool: IdataSearchTool):\n        \"\"\"Test download URL building with empty dataset_id uses first from dataset_ids\"\"\"\n        url = idata_tool._build_download_url(\"doc1\", \"\")\n\n        expected_url = (\n            \"https://api.idata.example.com/apiaccess/modelmate/north/machine/v1/documents/download?\"\n            \"userId=test_user_id&knowledgeBaseId=kb1&documentId=doc1\"\n        )\n        assert url == expected_url\n\n    def test_build_download_url_both_empty(self, idata_tool: IdataSearchTool):\n        \"\"\"Test download URL building with both document_id and dataset_id empty\"\"\"\n        url = idata_tool._build_download_url(\"\", \"\")\n        assert url == \"\"\n\n    def test_build_download_url_no_dataset_ids(self, mock_observer: MessageObserver):\n        \"\"\"Test download URL building when dataset_ids is empty\"\"\"\n        with patch(\"sdk.nexent.core.tools.idata_search_tool.http_client_manager\") as mock_manager:\n            mock_client = MagicMock()\n            mock_manager.get_sync_client.return_value = mock_client\n\n            tool = IdataSearchTool(\n                server_url=\"https://api.idata.example.com\",\n                api_key=\"test_api_key\",\n                user_id=\"test_user_id\",\n                knowledge_space_id=\"test_knowledge_space_id\",\n                dataset_ids='[\"kb1\"]',\n                rerank_model_id=\"test_rerank_model_id\",\n                observer=mock_observer,\n            )\n            # Manually set dataset_ids to empty to test edge case\n            tool.dataset_ids = []\n\n            url = tool._build_download_url(\"doc1\", \"\")\n            assert url == \"\"\n\n\nclass TestSearchIdataKnowledgeBase:\n    \"\"\"Test _search_idata_knowledge_base method\"\"\"\n\n    def test_search_idata_knowledge_base_success(self, idata_tool: IdataSearchTool):\n        \"\"\"Test successful search\"\"\"\n        mock_response = MagicMock()\n        mock_response.json.return_value = _build_search_response()\n        mock_response.raise_for_status = MagicMock()\n        idata_tool._mock_http_client.post.return_value = mock_response\n\n        payload = {\n            \"userId\": \"test_user_id\",\n            \"knowledgeBaseFilter\": [{\"knowledgeBaseId\": \"kb1\", \"metas\": []}],\n            \"question\": \"test query\",\n            \"rankTopN\": 5,\n            \"rerankModelId\": \"test_rerank_model_id\",\n            \"similarityThreshold\": 0.5,\n            \"keywordSimilarityWeight\": 0.1,\n            \"vectorSimilarityWeight\": 0.3\n        }\n\n        result = idata_tool._search_idata_knowledge_base(payload)\n\n        assert result[\"code\"] == \"1\"\n        assert \"data\" in result\n        assert \"retrievalData\" in result[\"data\"]\n\n        idata_tool._mock_http_client.post.assert_called_once_with(\n            \"https://api.idata.example.com/apiaccess/modelmate/north/machine/v1/retrievals\",\n            headers={\n                \"Content-Type\": \"application/json\",\n                \"Authorization\": \"Bearer test_api_key\"\n            },\n            json=payload\n        )\n\n    def test_search_idata_knowledge_base_request_error(self, idata_tool: IdataSearchTool):\n        \"\"\"Test search with RequestError\"\"\"\n        idata_tool._mock_http_client.post.side_effect = httpx.RequestError(\n            \"Connection error\", request=MagicMock()\n        )\n\n        payload = {\"userId\": \"test_user_id\", \"question\": \"test query\"}\n\n        with pytest.raises(Exception) as excinfo:\n            idata_tool._search_idata_knowledge_base(payload)\n\n        assert \"iData API request failed\" in str(excinfo.value)\n\n    def test_search_idata_knowledge_base_http_status_error(self, idata_tool: IdataSearchTool):\n        \"\"\"Test search with HTTPStatusError\"\"\"\n        idata_tool._mock_http_client.post.side_effect = httpx.HTTPStatusError(\n            \"HTTP error\", request=MagicMock(), response=MagicMock()\n        )\n\n        payload = {\"userId\": \"test_user_id\", \"question\": \"test query\"}\n\n        with pytest.raises(Exception) as excinfo:\n            idata_tool._search_idata_knowledge_base(payload)\n\n        assert \"iData API HTTP error\" in str(excinfo.value)\n\n    def test_search_idata_knowledge_base_json_decode_error(self, idata_tool: IdataSearchTool):\n        \"\"\"Test search with JSONDecodeError\"\"\"\n        mock_response = MagicMock()\n        mock_response.raise_for_status = MagicMock()\n        mock_response.json.side_effect = json.JSONDecodeError(\"Invalid JSON\", \"\", 0)\n        idata_tool._mock_http_client.post.return_value = mock_response\n\n        payload = {\"userId\": \"test_user_id\", \"question\": \"test query\"}\n\n        with pytest.raises(Exception) as excinfo:\n            idata_tool._search_idata_knowledge_base(payload)\n\n        assert \"Failed to parse iData API response\" in str(excinfo.value)\n\n    def test_search_idata_knowledge_base_invalid_code(self, idata_tool: IdataSearchTool):\n        \"\"\"Test search with invalid response code\"\"\"\n        mock_response = MagicMock()\n        mock_response.json.return_value = {\n            \"code\": \"0\",\n            \"msg\": \"Error message\"\n        }\n        mock_response.raise_for_status = MagicMock()\n        idata_tool._mock_http_client.post.return_value = mock_response\n\n        payload = {\"userId\": \"test_user_id\", \"question\": \"test query\"}\n\n        with pytest.raises(Exception) as excinfo:\n            idata_tool._search_idata_knowledge_base(payload)\n\n        assert \"iData API error: Error message\" in str(excinfo.value)\n\n    def test_search_idata_knowledge_base_missing_data_key(self, idata_tool: IdataSearchTool):\n        \"\"\"Test search with missing 'data' key in response\"\"\"\n        mock_response = MagicMock()\n        mock_response.json.return_value = {\"code\": \"1\", \"msg\": \"success\"}\n        mock_response.raise_for_status = MagicMock()\n        idata_tool._mock_http_client.post.return_value = mock_response\n\n        payload = {\"userId\": \"test_user_id\", \"question\": \"test query\"}\n\n        with pytest.raises(Exception) as excinfo:\n            idata_tool._search_idata_knowledge_base(payload)\n\n        assert \"Unexpected iData API response format: missing 'data' key\" in str(excinfo.value)\n\n    def test_search_idata_knowledge_base_missing_retrieval_data_key(self, idata_tool: IdataSearchTool):\n        \"\"\"Test search with missing 'retrievalData' key in response\"\"\"\n        mock_response = MagicMock()\n        mock_response.json.return_value = {\n            \"code\": \"1\",\n            \"data\": {}\n        }\n        mock_response.raise_for_status = MagicMock()\n        idata_tool._mock_http_client.post.return_value = mock_response\n\n        payload = {\"userId\": \"test_user_id\", \"question\": \"test query\"}\n\n        with pytest.raises(Exception) as excinfo:\n            idata_tool._search_idata_knowledge_base(payload)\n\n        assert \"Unexpected iData API response format: missing 'retrievalData' key\" in str(excinfo.value)\n\n\nclass TestForward:\n    \"\"\"Test forward method\"\"\"\n\n    def _setup_success_flow(self, tool: IdataSearchTool, chunks=None):\n        \"\"\"Helper to set up successful search flow\"\"\"\n        search_response = _build_search_response(chunks=chunks)\n        mock_response = MagicMock()\n        mock_response.json.return_value = search_response\n        mock_response.raise_for_status = MagicMock()\n        tool._mock_http_client.post.return_value = mock_response\n\n    def test_forward_success_with_observer_en(self, idata_tool: IdataSearchTool):\n        \"\"\"Test successful forward with English observer\"\"\"\n        self._setup_success_flow(idata_tool)\n\n        result_json = idata_tool.forward(\"test query\")\n        results = json.loads(result_json)\n\n        assert len(results) == 2\n        assert results[0][\"title\"] == \"Test Document 1\"\n        assert results[0][\"text\"] == \"test content 1\"\n        assert results[1][\"title\"] == \"Test Document 2\"\n        assert results[1][\"text\"] == \"test content 2\"\n\n        # Verify observer messages\n        idata_tool.observer.add_message.assert_any_call(\n            \"\", ProcessType.TOOL, idata_tool.running_prompt_en\n        )\n        idata_tool.observer.add_message.assert_any_call(\n            \"\", ProcessType.CARD, json.dumps([{\"icon\": \"search\", \"text\": \"test query\"}], ensure_ascii=False)\n        )\n        idata_tool.observer.add_message.assert_any_call(\n            \"\", ProcessType.SEARCH_CONTENT, ANY\n        )\n\n        assert idata_tool.record_ops == 3  # 1 + len(results)\n\n    def test_forward_success_with_observer_zh(self, idata_tool: IdataSearchTool):\n        \"\"\"Test successful forward with Chinese observer\"\"\"\n        idata_tool.observer.lang = \"zh\"\n        self._setup_success_flow(idata_tool)\n\n        idata_tool.forward(\"测试查询\")\n\n        idata_tool.observer.add_message.assert_any_call(\n            \"\", ProcessType.TOOL, idata_tool.running_prompt_zh\n        )\n\n    def test_forward_no_observer(self, mock_observer: MessageObserver):\n        \"\"\"Test forward without observer\"\"\"\n        with patch(\"sdk.nexent.core.tools.idata_search_tool.http_client_manager\") as mock_manager:\n            mock_client = MagicMock()\n            mock_manager.get_sync_client.return_value = mock_client\n\n            tool = IdataSearchTool(\n                server_url=\"https://api.idata.example.com\",\n                api_key=\"test_api_key\",\n                user_id=\"test_user_id\",\n                knowledge_space_id=\"test_knowledge_space_id\",\n                dataset_ids='[\"kb1\"]',\n                rerank_model_id=\"test_rerank_model_id\",\n                observer=None,\n            )\n            tool._mock_http_client = mock_client\n\n            search_response = _build_search_response(chunks=[{\n                \"documentId\": \"doc1\",\n                \"documentName\": \"doc1.txt\",\n                \"content\": \"content\",\n                \"datasetId\": \"kb1\",\n                \"createTime\": 1609459200000,\n                \"reRankScore\": 0.9,\n                \"vsScore\": 0.8,\n                \"esScore\": 0.7,\n                \"title\": \"Doc 1\"\n            }])\n\n            mock_response = MagicMock()\n            mock_response.json.return_value = search_response\n            mock_response.raise_for_status = MagicMock()\n            tool._mock_http_client.post.return_value = mock_response\n\n            result_json = tool.forward(\"query\")\n            results = json.loads(result_json)\n            assert len(results) == 1\n\n    def test_forward_no_retrieval_data(self, idata_tool: IdataSearchTool):\n        \"\"\"Test forward with no retrieval data\"\"\"\n        search_response = {\n            \"code\": \"1\",\n            \"data\": {\n                \"retrievalData\": []\n            }\n        }\n        mock_response = MagicMock()\n        mock_response.json.return_value = search_response\n        mock_response.raise_for_status = MagicMock()\n        idata_tool._mock_http_client.post.return_value = mock_response\n\n        with pytest.raises(Exception) as excinfo:\n            idata_tool.forward(\"test query\")\n\n        assert \"No results found!\" in str(excinfo.value)\n\n    def test_forward_no_chunks(self, idata_tool: IdataSearchTool):\n        \"\"\"Test forward with no chunks in retrieval data\"\"\"\n        search_response = {\n            \"code\": \"1\",\n            \"data\": {\n                \"retrievalData\": [{\"chunks\": []}]\n            }\n        }\n        mock_response = MagicMock()\n        mock_response.json.return_value = search_response\n        mock_response.raise_for_status = MagicMock()\n        idata_tool._mock_http_client.post.return_value = mock_response\n\n        with pytest.raises(Exception) as excinfo:\n            idata_tool.forward(\"test query\")\n\n        assert \"No chunks found in search results!\" in str(excinfo.value)\n\n    def test_forward_multiple_chunks(self, idata_tool: IdataSearchTool):\n        \"\"\"Test forward with multiple chunks\"\"\"\n        chunks = [\n            {\n                \"documentId\": f\"doc{i}\",\n                \"documentName\": f\"document{i}.txt\",\n                \"content\": f\"content {i}\",\n                \"datasetId\": f\"kb{i % 2 + 1}\",\n                \"createTime\": 1609459200000 + i * 86400000,\n                \"reRankScore\": 0.9 - i * 0.1,\n                \"vsScore\": 0.8 - i * 0.1,\n                \"esScore\": 0.7 - i * 0.1,\n                \"title\": f\"Document {i}\"\n            }\n            for i in range(5)\n        ]\n        self._setup_success_flow(idata_tool, chunks=chunks)\n\n        result_json = idata_tool.forward(\"test query\")\n        results = json.loads(result_json)\n\n        assert len(results) == 5\n        assert idata_tool.record_ops == 6  # 1 + 5\n\n    def test_forward_chunk_without_title_uses_document_name(self, idata_tool: IdataSearchTool):\n        \"\"\"Test forward when chunk has no title, uses documentName\"\"\"\n        chunks = [{\n            \"documentId\": \"doc1\",\n            \"documentName\": \"document1.txt\",\n            \"content\": \"content\",\n            \"datasetId\": \"kb1\",\n            \"createTime\": 1609459200000,\n            \"reRankScore\": 0.9,\n            \"vsScore\": 0.8,\n            \"esScore\": 0.7,\n            # No title field\n        }]\n        self._setup_success_flow(idata_tool, chunks=chunks)\n\n        result_json = idata_tool.forward(\"test query\")\n        results = json.loads(result_json)\n\n        assert results[0][\"title\"] == \"document1.txt\"\n\n    def test_forward_chunk_with_empty_title_uses_document_name(self, idata_tool: IdataSearchTool):\n        \"\"\"Test forward when chunk has empty title, uses documentName\"\"\"\n        chunks = [{\n            \"documentId\": \"doc1\",\n            \"documentName\": \"document1.txt\",\n            \"content\": \"content\",\n            \"datasetId\": \"kb1\",\n            \"createTime\": 1609459200000,\n            \"reRankScore\": 0.9,\n            \"vsScore\": 0.8,\n            \"esScore\": 0.7,\n            \"title\": \"\",  # Empty title\n        }]\n        self._setup_success_flow(idata_tool, chunks=chunks)\n\n        result_json = idata_tool.forward(\"test query\")\n        results = json.loads(result_json)\n\n        assert results[0][\"title\"] == \"document1.txt\"\n\n    def test_forward_chunk_with_zero_create_time(self, idata_tool: IdataSearchTool):\n        \"\"\"Test forward with zero create_time\"\"\"\n        chunks = [{\n            \"documentId\": \"doc1\",\n            \"documentName\": \"document1.txt\",\n            \"content\": \"content\",\n            \"datasetId\": \"kb1\",\n            \"createTime\": 0,  # Zero timestamp\n            \"reRankScore\": 0.9,\n            \"vsScore\": 0.8,\n            \"esScore\": 0.7,\n            \"title\": \"Doc 1\"\n        }]\n        self._setup_success_flow(idata_tool, chunks=chunks)\n\n        result_json = idata_tool.forward(\"test query\")\n        results = json.loads(result_json)\n\n        # Verify result structure (to_model_dict only returns title, text, index)\n        assert results[0][\"title\"] == \"Doc 1\"\n        assert results[0][\"text\"] == \"content\"\n        assert \"index\" in results[0]\n\n        # Verify published_date is empty in the detailed search content sent to observer\n        call_args_list = idata_tool.observer.add_message.call_args_list\n        search_content_call = None\n        for call in call_args_list:\n            if len(call[0]) >= 3 and call[0][1] == ProcessType.SEARCH_CONTENT:\n                search_content_call = call\n                break\n\n        if search_content_call:\n            search_content_data = json.loads(search_content_call[0][2])\n            assert search_content_data[0][\"published_date\"] == \"\"\n\n    def test_forward_chunk_with_invalid_create_time(self, idata_tool: IdataSearchTool):\n        \"\"\"Test forward with invalid create_time that causes exception\"\"\"\n        chunks = [{\n            \"documentId\": \"doc1\",\n            \"documentName\": \"document1.txt\",\n            \"content\": \"content\",\n            \"datasetId\": \"kb1\",\n            \"createTime\": \"invalid\",  # Invalid timestamp\n            \"reRankScore\": 0.9,\n            \"vsScore\": 0.8,\n            \"esScore\": 0.7,\n            \"title\": \"Doc 1\"\n        }]\n        self._setup_success_flow(idata_tool, chunks=chunks)\n\n        result_json = idata_tool.forward(\"test query\")\n        results = json.loads(result_json)\n\n        # Verify result structure (to_model_dict only returns title, text, index)\n        assert results[0][\"title\"] == \"Doc 1\"\n        assert results[0][\"text\"] == \"content\"\n\n        # Verify published_date is empty in the detailed search content sent to observer\n        call_args_list = idata_tool.observer.add_message.call_args_list\n        search_content_call = None\n        for call in call_args_list:\n            if len(call[0]) >= 3 and call[0][1] == ProcessType.SEARCH_CONTENT:\n                search_content_call = call\n                break\n\n        if search_content_call:\n            search_content_data = json.loads(search_content_call[0][2])\n            # Should handle exception gracefully and set empty published_date\n            assert search_content_data[0][\"published_date\"] == \"\"\n\n    def test_forward_chunk_with_missing_scores(self, idata_tool: IdataSearchTool):\n        \"\"\"Test forward with missing score fields\"\"\"\n        chunks = [{\n            \"documentId\": \"doc1\",\n            \"documentName\": \"document1.txt\",\n            \"content\": \"content\",\n            \"datasetId\": \"kb1\",\n            \"createTime\": 1609459200000,\n            # Missing score fields\n            \"title\": \"Doc 1\"\n        }]\n        self._setup_success_flow(idata_tool, chunks=chunks)\n\n        result_json = idata_tool.forward(\"test query\")\n        results = json.loads(result_json)\n\n        # Verify result structure (to_model_dict only returns title, text, index)\n        assert results[0][\"title\"] == \"Doc 1\"\n        assert results[0][\"text\"] == \"content\"\n\n        # Verify scores in the detailed search content sent to observer\n        call_args_list = idata_tool.observer.add_message.call_args_list\n        search_content_call = None\n        for call in call_args_list:\n            if len(call[0]) >= 3 and call[0][1] == ProcessType.SEARCH_CONTENT:\n                search_content_call = call\n                break\n\n        if search_content_call:\n            search_content_data = json.loads(search_content_call[0][2])\n            assert search_content_data[0][\"score\"] is None\n            assert search_content_data[0][\"score_details\"][\"reRankScore\"] == 0\n            assert search_content_data[0][\"score_details\"][\"vsScore\"] == 0\n            assert search_content_data[0][\"score_details\"][\"esScore\"] == 0\n\n    def test_forward_search_api_error(self, idata_tool: IdataSearchTool):\n        \"\"\"Test forward when search API raises error\"\"\"\n        idata_tool._mock_http_client.post.side_effect = httpx.RequestError(\n            \"API error\", request=MagicMock()\n        )\n\n        with pytest.raises(Exception) as excinfo:\n            idata_tool.forward(\"test query\")\n\n        assert \"Error searching iData knowledge base\" in str(excinfo.value)\n        assert \"iData API request failed\" in str(excinfo.value)\n\n    def test_forward_payload_construction(self, idata_tool: IdataSearchTool):\n        \"\"\"Test that forward constructs correct payload\"\"\"\n        self._setup_success_flow(idata_tool)\n\n        idata_tool.forward(\"test question\")\n\n        # Verify the payload was constructed correctly\n        call_args = idata_tool._mock_http_client.post.call_args\n        payload = call_args[1][\"json\"]\n\n        assert payload[\"userId\"] == \"test_user_id\"\n        assert payload[\"question\"] == \"test question\"\n        assert payload[\"rankTopN\"] == 5\n        assert payload[\"rerankModelId\"] == \"test_rerank_model_id\"\n        assert payload[\"similarityThreshold\"] == 0.5\n        assert payload[\"keywordSimilarityWeight\"] == 0.1\n        assert payload[\"vectorSimilarityWeight\"] == 0.3\n        assert len(payload[\"knowledgeBaseFilter\"]) == 2\n        assert payload[\"knowledgeBaseFilter\"][0][\"knowledgeBaseId\"] == \"kb1\"\n        assert payload[\"knowledgeBaseFilter\"][1][\"knowledgeBaseId\"] == \"kb2\"\n\n    def test_forward_custom_parameters(self, mock_observer: MessageObserver):\n        \"\"\"Test forward with custom parameters\"\"\"\n        with patch(\"sdk.nexent.core.tools.idata_search_tool.http_client_manager\") as mock_manager:\n            mock_client = MagicMock()\n            mock_manager.get_sync_client.return_value = mock_client\n\n            tool = IdataSearchTool(\n                server_url=\"https://api.idata.example.com\",\n                api_key=\"test_api_key\",\n                user_id=\"test_user_id\",\n                knowledge_space_id=\"test_knowledge_space_id\",\n                dataset_ids='[\"kb1\"]',\n                rerank_model_id=\"test_rerank_model_id\",\n                top_k=20,\n                similarity_threshold=0.8,\n                keyword_similarity_weight=0.2,\n                vector_similarity_weight=0.4,\n                observer=mock_observer,\n            )\n            tool._mock_http_client = mock_client\n\n            search_response = _build_search_response()\n            mock_response = MagicMock()\n            mock_response.json.return_value = search_response\n            mock_response.raise_for_status = MagicMock()\n            tool._mock_http_client.post.return_value = mock_response\n\n            tool.forward(\"test question\")\n\n            call_args = tool._mock_http_client.post.call_args\n            payload = call_args[1][\"json\"]\n\n            assert payload[\"rankTopN\"] == 20\n            assert payload[\"similarityThreshold\"] == 0.8\n            assert payload[\"keywordSimilarityWeight\"] == 0.2\n            assert payload[\"vectorSimilarityWeight\"] == 0.4\n\n    def test_forward_result_format(self, idata_tool: IdataSearchTool):\n        \"\"\"Test that forward returns correctly formatted results\"\"\"\n        self._setup_success_flow(idata_tool)\n\n        result_json = idata_tool.forward(\"test query\")\n        results = json.loads(result_json)\n\n        assert len(results) == 2\n\n        # Verify first result structure (to_model_dict only returns title, text, index)\n        result1 = results[0]\n        assert \"title\" in result1\n        assert \"text\" in result1\n        assert \"index\" in result1\n        assert result1[\"title\"] == \"Test Document 1\"\n        assert result1[\"text\"] == \"test content 1\"\n        assert result1[\"index\"].startswith(\"h\")  # Should start with tool_sign \"h\"\n\n        # Verify detailed fields in the search content sent to observer\n        call_args_list = idata_tool.observer.add_message.call_args_list\n        search_content_call = None\n        for call in call_args_list:\n            if len(call[0]) >= 3 and call[0][1] == ProcessType.SEARCH_CONTENT:\n                search_content_call = call\n                break\n\n        if search_content_call:\n            search_content_data = json.loads(search_content_call[0][2])\n            detail_result = search_content_data[0]\n            assert \"source_type\" in detail_result\n            assert \"url\" in detail_result\n            assert \"filename\" in detail_result\n            assert \"published_date\" in detail_result\n            assert \"score\" in detail_result\n            assert \"score_details\" in detail_result\n            assert \"search_type\" in detail_result\n            assert \"tool_sign\" in detail_result\n\n            assert detail_result[\"source_type\"] == \"idata\"\n            assert detail_result[\"search_type\"] == \"idata_search\"\n            assert detail_result[\"tool_sign\"] == \"h\"  # IDATA_SEARCH value\n\n    def test_forward_chunk_with_zero_re_rank_score(self, idata_tool: IdataSearchTool):\n        \"\"\"Test forward with zero re_rank_score (falsy value)\"\"\"\n        chunks = [{\n            \"documentId\": \"doc1\",\n            \"documentName\": \"document1.txt\",\n            \"content\": \"content\",\n            \"datasetId\": \"kb1\",\n            \"createTime\": 1609459200000,\n            \"reRankScore\": 0,  # Zero (falsy)\n            \"vsScore\": 0.8,\n            \"esScore\": 0.7,\n            \"title\": \"Doc 1\"\n        }]\n        self._setup_success_flow(idata_tool, chunks=chunks)\n\n        result_json = idata_tool.forward(\"test query\")\n        results = json.loads(result_json)\n\n        # Verify result structure (to_model_dict only returns title, text, index)\n        assert results[0][\"title\"] == \"Doc 1\"\n        assert results[0][\"text\"] == \"content\"\n\n        # Verify zero re_rank_score results in None score in the detailed search content sent to observer\n        call_args_list = idata_tool.observer.add_message.call_args_list\n        search_content_call = None\n        for call in call_args_list:\n            if len(call[0]) >= 3 and call[0][1] == ProcessType.SEARCH_CONTENT:\n                search_content_call = call\n                break\n\n        if search_content_call:\n            search_content_data = json.loads(search_content_call[0][2])\n            # Zero re_rank_score should result in None score\n            assert search_content_data[0][\"score\"] is None\n\n    def test_forward_chunk_with_none_title(self, idata_tool: IdataSearchTool):\n        \"\"\"Test forward when chunk has None title\"\"\"\n        chunks = [{\n            \"documentId\": \"doc1\",\n            \"documentName\": \"document1.txt\",\n            \"content\": \"content\",\n            \"datasetId\": \"kb1\",\n            \"createTime\": 1609459200000,\n            \"reRankScore\": 0.9,\n            \"vsScore\": 0.8,\n            \"esScore\": 0.7,\n            \"title\": None,  # None title\n        }]\n        self._setup_success_flow(idata_tool, chunks=chunks)\n\n        result_json = idata_tool.forward(\"test query\")\n        results = json.loads(result_json)\n\n        # None title should fallback to document_name\n        assert results[0][\"title\"] == \"document1.txt\"\n\n    def test_forward_chunk_with_falsy_title_uses_document_name(self, idata_tool: IdataSearchTool):\n        \"\"\"Test forward when title is falsy (empty string), uses document_name\"\"\"\n        chunks = [{\n            \"documentId\": \"doc1\",\n            \"documentName\": \"document1.txt\",\n            \"content\": \"content\",\n            \"datasetId\": \"kb1\",\n            \"createTime\": 1609459200000,\n            \"reRankScore\": 0.9,\n            \"vsScore\": 0.8,\n            \"esScore\": 0.7,\n            \"title\": \"\",  # Empty string (falsy)\n        }]\n        self._setup_success_flow(idata_tool, chunks=chunks)\n\n        result_json = idata_tool.forward(\"test query\")\n        results = json.loads(result_json)\n\n        # Empty title should fallback to document_name due to \"title or document_name\" logic\n        assert results[0][\"title\"] == \"document1.txt\"\n\n    def test_forward_chunk_with_missing_chunk_fields(self, idata_tool: IdataSearchTool):\n        \"\"\"Test forward with minimal chunk data (missing optional fields)\"\"\"\n        chunks = [{\n            \"documentId\": \"doc1\",\n            \"content\": \"content\",\n            # Missing most fields\n        }]\n        self._setup_success_flow(idata_tool, chunks=chunks)\n\n        result_json = idata_tool.forward(\"test query\")\n        results = json.loads(result_json)\n\n        assert len(results) == 1\n        assert results[0][\"text\"] == \"content\"\n        assert results[0][\"title\"] == \"\"  # Empty document_name\n\n        # Verify detailed fields in the search content sent to observer\n        call_args_list = idata_tool.observer.add_message.call_args_list\n        search_content_call = None\n        for call in call_args_list:\n            if len(call[0]) >= 3 and call[0][1] == ProcessType.SEARCH_CONTENT:\n                search_content_call = call\n                break\n\n        if search_content_call:\n            search_content_data = json.loads(search_content_call[0][2])\n            detail_result = search_content_data[0]\n            assert detail_result[\"filename\"] == \"\"\n            assert detail_result[\"score\"] is None  # Missing reRankScore\n\n    def test_forward_handles_exception_in_datetime_conversion(self, idata_tool: IdataSearchTool):\n        \"\"\"Test forward handles exception during datetime conversion gracefully\"\"\"\n        # Use a createTime value that will cause an exception when converting\n        # Using a very large timestamp that exceeds the valid range for datetime.fromtimestamp\n        # This will cause an OSError or ValueError on most systems\n        chunks = [{\n            \"documentId\": \"doc1\",\n            \"documentName\": \"document1.txt\",\n            \"content\": \"content\",\n            \"datasetId\": \"kb1\",\n            \"createTime\": 999999999999999999,  # Extremely large timestamp that will cause conversion error\n            \"reRankScore\": 0.9,\n            \"vsScore\": 0.8,\n            \"esScore\": 0.7,\n            \"title\": \"Doc 1\"\n        }]\n        self._setup_success_flow(idata_tool, chunks=chunks)\n\n        result_json = idata_tool.forward(\"test query\")\n        results = json.loads(result_json)\n\n        # Verify result structure (to_model_dict only returns title, text, index)\n        assert results[0][\"title\"] == \"Doc 1\"\n        assert results[0][\"text\"] == \"content\"\n\n        # Verify published_date is empty in the detailed search content sent to observer\n        # The exception during datetime conversion should be caught and result in empty published_date\n        call_args_list = idata_tool.observer.add_message.call_args_list\n        search_content_call = None\n        for call in call_args_list:\n            if len(call[0]) >= 3 and call[0][1] == ProcessType.SEARCH_CONTENT:\n                search_content_call = call\n                break\n\n        if search_content_call:\n            search_content_data = json.loads(search_content_call[0][2])\n            # Should handle exception and set empty published_date\n            assert search_content_data[0][\"published_date\"] == \"\"\n\n    def test_forward_with_single_dataset_id(self, mock_observer: MessageObserver):\n        \"\"\"Test forward with single dataset_id\"\"\"\n        with patch(\"sdk.nexent.core.tools.idata_search_tool.http_client_manager\") as mock_manager:\n            mock_client = MagicMock()\n            mock_manager.get_sync_client.return_value = mock_client\n\n            tool = IdataSearchTool(\n                server_url=\"https://api.idata.example.com\",\n                api_key=\"test_api_key\",\n                user_id=\"test_user_id\",\n                knowledge_space_id=\"test_knowledge_space_id\",\n                dataset_ids='[\"kb1\"]',\n                rerank_model_id=\"test_rerank_model_id\",\n                observer=mock_observer,\n            )\n            tool._mock_http_client = mock_client\n\n            search_response = _build_search_response()\n            mock_response = MagicMock()\n            mock_response.json.return_value = search_response\n            mock_response.raise_for_status = MagicMock()\n            tool._mock_http_client.post.return_value = mock_response\n\n            tool.forward(\"test question\")\n\n            # Verify payload has single knowledge base filter\n            call_args = tool._mock_http_client.post.call_args\n            payload = call_args[1][\"json\"]\n            assert len(payload[\"knowledgeBaseFilter\"]) == 1\n            assert payload[\"knowledgeBaseFilter\"][0][\"knowledgeBaseId\"] == \"kb1\"\n"
  },
  {
    "path": "test/sdk/core/tools/test_knowledge_base_search_tool.py",
    "content": "import pytest\nfrom unittest.mock import MagicMock, patch\nimport json\n\n# Import target module\nfrom sdk.nexent.core.utils.observer import MessageObserver, ProcessType\nfrom sdk.nexent.core.tools.knowledge_base_search_tool import KnowledgeBaseSearchTool\n\n\n@pytest.fixture\ndef mock_observer():\n    \"\"\"Create a mock observer for testing\"\"\"\n    observer = MagicMock(spec=MessageObserver)\n    observer.lang = \"en\"\n    return observer\n\n\n@pytest.fixture\ndef mock_vdb_core():\n    \"\"\"Create a mock ElasticSearchCore for testing\"\"\"\n    vdb_core = MagicMock()\n    return vdb_core\n\n\n@pytest.fixture\ndef mock_embedding_model():\n    \"\"\"Create a mock embedding model for testing\"\"\"\n    model = MagicMock()\n    return model\n\n\n@pytest.fixture\ndef knowledge_base_search_tool(mock_observer, mock_vdb_core, mock_embedding_model):\n    \"\"\"Create KnowledgeBaseSearchTool instance for testing\"\"\"\n    tool = KnowledgeBaseSearchTool(\n        top_k=5,\n        index_names=[\"test_index1\", \"test_index2\"],\n        observer=mock_observer,\n        embedding_model=mock_embedding_model,\n        vdb_core=mock_vdb_core,\n        search_mode=\"hybrid\"\n    )\n    return tool\n\n\ndef create_mock_search_result(count=3):\n    \"\"\"Helper method to create mock search results\"\"\"\n    results = []\n    for i in range(count):\n        result = {\n            \"document\": {\n                \"title\": f\"Test Document {i}\",\n                \"content\": f\"This is test content {i}\",\n                \"filename\": f\"test_file_{i}.txt\",\n                \"path_or_url\": f\"/path/to/file_{i}.txt\",\n                \"create_time\": \"2024-01-01T12:00:00Z\",\n                \"source_type\": \"file\"\n            },\n            \"score\": 0.9 - (i * 0.1),\n            \"index\": f\"test_index_{i % 2 + 1}\"\n        }\n        results.append(result)\n    return results\n\n\nclass TestKnowledgeBaseSearchTool:\n    \"\"\"Test KnowledgeBaseSearchTool functionality\"\"\"\n\n    def test_forward_with_observer_adds_messages(self, knowledge_base_search_tool):\n        \"\"\"forward should send TOOL and CARD messages when observer is present\"\"\"\n        mock_results = create_mock_search_result(1)\n        knowledge_base_search_tool.vdb_core.hybrid_search.return_value = mock_results\n\n        knowledge_base_search_tool.forward(\"hello world\")\n\n        knowledge_base_search_tool.observer.add_message.assert_any_call(\n            \"\", ProcessType.TOOL, \"Searching the knowledge base...\"\n        )\n        knowledge_base_search_tool.observer.add_message.assert_any_call(\n            \"\", ProcessType.CARD, json.dumps([{\"icon\": \"search\", \"text\": \"hello world\"}], ensure_ascii=False)\n        )\n\n    def test_init_with_custom_values(self, mock_observer, mock_vdb_core, mock_embedding_model):\n        \"\"\"Test initialization with custom values\"\"\"\n        tool = KnowledgeBaseSearchTool(\n            top_k=10,\n            index_names=[\"index1\", \"index2\", \"index3\"],\n            observer=mock_observer,\n            embedding_model=mock_embedding_model,\n            vdb_core=mock_vdb_core,\n            search_mode=\"semantic\"\n        )\n\n        assert tool.top_k == 10\n        assert tool.index_names == [\"index1\", \"index2\", \"index3\"]\n        assert tool.observer == mock_observer\n        assert tool.embedding_model == mock_embedding_model\n        assert tool.vdb_core == mock_vdb_core\n        assert tool.search_mode == \"semantic\"\n\n    def test_init_with_none_index_names(self, mock_vdb_core, mock_embedding_model):\n        \"\"\"Test initialization with None index_names\"\"\"\n        tool = KnowledgeBaseSearchTool(\n            top_k=5,\n            index_names=None,\n            observer=None,\n            embedding_model=mock_embedding_model,\n            vdb_core=mock_vdb_core,\n            search_mode=\"hybrid\"\n        )\n\n        assert tool.index_names == []\n\n    def test_search_hybrid_success(self, knowledge_base_search_tool):\n        \"\"\"Test successful hybrid search\"\"\"\n        # Mock search results\n        mock_results = create_mock_search_result(3)\n        knowledge_base_search_tool.vdb_core.hybrid_search.return_value = mock_results\n\n        result = knowledge_base_search_tool.search_hybrid(\"test query\", [\"test_index1\"])\n\n        # Verify result structure\n        assert result[\"total\"] == 3\n        assert len(result[\"results\"]) == 3\n\n        # Verify each result has required fields\n        for i, doc in enumerate(result[\"results\"]):\n            assert \"title\" in doc\n            assert \"content\" in doc\n            assert \"score\" in doc\n            assert \"index\" in doc\n            assert doc[\"title\"] == f\"Test Document {i}\"\n\n        # Verify vdb_core was called correctly\n        knowledge_base_search_tool.vdb_core.hybrid_search.assert_called_once_with(\n            index_names=[\"test_index1\"],\n            query_text=\"test query\",\n            embedding_model=knowledge_base_search_tool.embedding_model,\n            top_k=5\n        )\n\n    def test_search_accurate_success(self, knowledge_base_search_tool):\n        \"\"\"Test successful accurate search\"\"\"\n        # Mock search results\n        mock_results = create_mock_search_result(2)\n        knowledge_base_search_tool.vdb_core.accurate_search.return_value = mock_results\n\n        result = knowledge_base_search_tool.search_accurate(\"test query\", [\"test_index1\"])\n\n        # Verify result structure\n        assert result[\"total\"] == 2\n        assert len(result[\"results\"]) == 2\n\n        # Verify vdb_core was called correctly\n        knowledge_base_search_tool.vdb_core.accurate_search.assert_called_once_with(\n            index_names=[\"test_index1\"],\n            query_text=\"test query\",\n            top_k=5\n        )\n\n    def test_search_semantic_success(self, knowledge_base_search_tool):\n        \"\"\"Test successful semantic search\"\"\"\n        # Mock search results\n        mock_results = create_mock_search_result(4)\n        knowledge_base_search_tool.vdb_core.semantic_search.return_value = mock_results\n\n        result = knowledge_base_search_tool.search_semantic(\"test query\", [\"test_index1\"])\n\n        # Verify result structure\n        assert result[\"total\"] == 4\n        assert len(result[\"results\"]) == 4\n\n        # Verify vdb_core was called correctly\n        knowledge_base_search_tool.vdb_core.semantic_search.assert_called_once_with(\n            index_names=[\"test_index1\"],\n            query_text=\"test query\",\n            embedding_model=knowledge_base_search_tool.embedding_model,\n            top_k=5\n        )\n\n    def test_search_hybrid_error(self, knowledge_base_search_tool):\n        \"\"\"Test hybrid search with error\"\"\"\n        knowledge_base_search_tool.vdb_core.hybrid_search.side_effect = Exception(\"Search error\")\n\n        with pytest.raises(Exception) as excinfo:\n            knowledge_base_search_tool.search_hybrid(\"test query\", [\"test_index1\"])\n\n        assert \"Error during semantic search\" in str(excinfo.value)\n\n    def test_forward_accurate_mode_success(self, knowledge_base_search_tool):\n        \"\"\"Test forward method with accurate search mode\"\"\"\n        # Set search_mode to accurate\n        knowledge_base_search_tool.search_mode = \"accurate\"\n\n        # Mock search results\n        mock_results = create_mock_search_result(2)\n        knowledge_base_search_tool.vdb_core.accurate_search.return_value = mock_results\n\n        result = knowledge_base_search_tool.forward(\"test query\")\n\n        # Parse result\n        search_results = json.loads(result)\n\n        # Verify result structure\n        assert len(search_results) == 2\n\n    def test_forward_semantic_mode_success(self, knowledge_base_search_tool):\n        \"\"\"Test forward method with semantic search mode\"\"\"\n        # Set search_mode to semantic\n        knowledge_base_search_tool.search_mode = \"semantic\"\n\n        # Mock search results\n        mock_results = create_mock_search_result(4)\n        knowledge_base_search_tool.vdb_core.semantic_search.return_value = mock_results\n\n        result = knowledge_base_search_tool.forward(\"test query\")\n\n        # Parse result\n        search_results = json.loads(result)\n\n        # Verify result structure\n        assert len(search_results) == 4\n\n    def test_forward_invalid_search_mode(self, knowledge_base_search_tool):\n        \"\"\"Test forward method with invalid search mode\"\"\"\n        # Set invalid search_mode\n        knowledge_base_search_tool.search_mode = \"invalid\"\n\n        with pytest.raises(Exception) as excinfo:\n            knowledge_base_search_tool.forward(\"test query\")\n\n        assert \"Invalid search mode\" in str(excinfo.value)\n        assert \"hybrid, accurate, semantic\" in str(excinfo.value)\n\n    def test_forward_no_index_names(self, knowledge_base_search_tool):\n        \"\"\"Test forward method with no index names\"\"\"\n        # Set empty index names\n        knowledge_base_search_tool.index_names = []\n\n        result = knowledge_base_search_tool.forward(\"test query\")\n\n        # Should return no results message\n        assert result == json.dumps(\"No knowledge base selected. No relevant information found.\", ensure_ascii=False)\n\n    def test_forward_no_results(self, knowledge_base_search_tool):\n        \"\"\"Test forward method with no search results\"\"\"\n        # Mock empty search results\n        knowledge_base_search_tool.vdb_core.hybrid_search.return_value = []\n\n        with pytest.raises(Exception) as excinfo:\n            knowledge_base_search_tool.forward(\"test query\")\n\n        assert \"No results found\" in str(excinfo.value)\n\n    def test_forward_with_custom_index_names(self, knowledge_base_search_tool):\n        \"\"\"Test forward method with custom index names\"\"\"\n        # Set custom index names\n        knowledge_base_search_tool.index_names = [\"custom_index1\", \"custom_index2\"]\n\n        # Mock search results\n        mock_results = create_mock_search_result(2)\n        knowledge_base_search_tool.vdb_core.hybrid_search.return_value = mock_results\n\n        result = knowledge_base_search_tool.forward(\"test query\")\n\n        # Verify vdb_core was called with custom index names\n        knowledge_base_search_tool.vdb_core.hybrid_search.assert_called_once_with(\n            index_names=[\"custom_index1\", \"custom_index2\"],\n            query_text=\"test query\",\n            embedding_model=knowledge_base_search_tool.embedding_model,\n            top_k=5\n        )\n\n    def test_forward_chinese_language_observer(self, knowledge_base_search_tool):\n        \"\"\"Test forward method with Chinese language observer\"\"\"\n        # Set observer language to Chinese\n        knowledge_base_search_tool.observer.lang = \"zh\"\n\n        # Mock search results\n        mock_results = create_mock_search_result(2)\n        knowledge_base_search_tool.vdb_core.hybrid_search.return_value = mock_results\n\n        result = knowledge_base_search_tool.forward(\"test query\")\n\n        # Verify Chinese running prompt\n        knowledge_base_search_tool.observer.add_message.assert_any_call(\n            \"\", ProcessType.TOOL, \"知识库检索中...\"\n        )\n\n    def test_forward_title_fallback(self, knowledge_base_search_tool):\n        \"\"\"Test forward method with title fallback to filename\"\"\"\n        # Mock search results without title\n        mock_results = [\n            {\n                \"document\": {\n                    \"title\": None,  # No title\n                    \"content\": \"Test content\",\n                    \"filename\": \"test.txt\",  # Should be used as title\n                    \"path_or_url\": \"/path/test.txt\",\n                    \"create_time\": \"2024-01-01T12:00:00Z\",\n                    \"source_type\": \"file\"\n                },\n                \"score\": 0.9,\n                \"index\": \"test_index\"\n            }\n        ]\n        knowledge_base_search_tool.vdb_core.hybrid_search.return_value = mock_results\n\n        result = knowledge_base_search_tool.forward(\"test query\")\n\n        # Parse result\n        search_results = json.loads(result)\n\n        # Verify title fallback\n        assert len(search_results) == 1\n        assert search_results[0][\"title\"] == \"test.txt\"\n"
  },
  {
    "path": "test/sdk/core/tools/test_send_email_tool.py",
    "content": "import pytest\nfrom unittest.mock import MagicMock, patch, Mock\nimport json\nimport smtplib\nimport ssl\nfrom email.mime.multipart import MIMEMultipart\nfrom email.mime.text import MIMEText\n\n# Import target module\nfrom sdk.nexent.core.tools.send_email_tool import SendEmailTool\n\n\n@pytest.fixture\ndef send_email_tool():\n    \"\"\"Create SendEmailTool instance for testing\"\"\"\n    tool = SendEmailTool(\n        smtp_server=\"smtp.test.com\",\n        smtp_port=587,\n        username=\"test@test.com\",\n        password=\"test_password\",\n        use_ssl=True,\n        sender_name=\"Test Sender\",\n        timeout=30\n    )\n    return tool\n\n\n@pytest.fixture\ndef send_email_tool_minimal():\n    \"\"\"Create SendEmailTool instance with minimal parameters\"\"\"\n    tool = SendEmailTool(\n        smtp_server=\"smtp.example.com\",\n        smtp_port=465,\n        username=\"user@example.com\",\n        password=\"password123\"\n    )\n    return tool\n\n\nclass TestSendEmailTool:\n    \"\"\"Test SendEmailTool functionality\"\"\"\n\n    def test_init_with_custom_values(self):\n        \"\"\"Test initialization with custom values\"\"\"\n        tool = SendEmailTool(\n            smtp_server=\"smtp.example.com\",\n            smtp_port=587,\n            username=\"user@example.com\",\n            password=\"password123\",\n            use_ssl=False,\n            sender_name=\"Custom Sender\",\n            timeout=60\n        )\n\n        assert tool.smtp_server == \"smtp.example.com\"\n        assert tool.smtp_port == 587\n        assert tool.username == \"user@example.com\"\n        assert tool.password == \"password123\"\n        assert tool.use_ssl is False\n        assert tool.sender_name == \"Custom Sender\"\n        assert tool.timeout == 60\n\n    def test_tool_attributes(self, send_email_tool):\n        \"\"\"Test tool class attributes\"\"\"\n        assert send_email_tool.name == \"send_email\"\n        assert \"Send email to specified recipients\" in send_email_tool.description\n        assert send_email_tool.output_type == \"string\"\n        assert send_email_tool.category == \"email\"\n\n    def test_tool_inputs_schema(self, send_email_tool):\n        \"\"\"Test tool inputs schema\"\"\"\n        inputs = send_email_tool.inputs\n\n        assert \"to\" in inputs\n        assert inputs[\"to\"][\"type\"] == \"string\"\n        assert \"Recipient email address\" in inputs[\"to\"][\"description\"]\n\n        assert \"subject\" in inputs\n        assert inputs[\"subject\"][\"type\"] == \"string\"\n        assert \"Email subject\" in inputs[\"subject\"][\"description\"]\n\n        assert \"content\" in inputs\n        assert inputs[\"content\"][\"type\"] == \"string\"\n        assert \"Email content\" in inputs[\"content\"][\"description\"]\n\n        assert \"cc\" in inputs\n        assert inputs[\"cc\"][\"type\"] == \"string\"\n        assert inputs[\"cc\"][\"nullable\"] is True\n\n        assert \"bcc\" in inputs\n        assert inputs[\"bcc\"][\"type\"] == \"string\"\n        assert inputs[\"bcc\"][\"nullable\"] is True\n\n    @patch('smtplib.SMTP_SSL')\n    @patch('ssl.create_default_context')\n    def test_forward_success_basic_email(self, mock_ssl_context, mock_smtp_ssl, send_email_tool):\n        \"\"\"Test successful basic email sending\"\"\"\n        # Mock SSL context\n        mock_context = Mock()\n        mock_ssl_context.return_value = mock_context\n\n        # Mock SMTP server\n        mock_server = Mock()\n        mock_smtp_ssl.return_value = mock_server\n\n        result = send_email_tool.forward(\n            to=\"recipient@example.com\",\n            subject=\"Test Subject\",\n            content=\"<p>Test HTML content</p>\"\n        )\n\n        # Parse result\n        result_data = json.loads(result)\n\n        # Verify success response\n        assert result_data[\"status\"] == \"success\"\n        assert result_data[\"message\"] == \"Email sent successfully\"\n        assert result_data[\"to\"] == \"recipient@example.com\"\n        assert result_data[\"subject\"] == \"Test Subject\"\n\n        # Verify SMTP operations\n        mock_smtp_ssl.assert_called_once_with(\n            \"smtp.test.com\", 587, context=mock_context, timeout=30\n        )\n        mock_server.login.assert_called_once_with(\n            \"test@test.com\", \"test_password\")\n        mock_server.send_message.assert_called_once()\n        mock_server.quit.assert_called_once()\n\n    @patch('smtplib.SMTP_SSL')\n    @patch('ssl.create_default_context')\n    def test_forward_success_with_cc_and_bcc(self, mock_ssl_context, mock_smtp_ssl, send_email_tool):\n        \"\"\"Test successful email sending with CC and BCC\"\"\"\n        # Mock SSL context\n        mock_context = Mock()\n        mock_ssl_context.return_value = mock_context\n\n        # Mock SMTP server\n        mock_server = Mock()\n        mock_smtp_ssl.return_value = mock_server\n\n        result = send_email_tool.forward(\n            to=\"recipient@example.com\",\n            subject=\"Test Subject\",\n            content=\"<p>Test content</p>\",\n            cc=\"cc1@example.com,cc2@example.com\",\n            bcc=\"bcc@example.com\"\n        )\n\n        # Parse result\n        result_data = json.loads(result)\n\n        # Verify success response\n        assert result_data[\"status\"] == \"success\"\n\n        # Verify send_message was called with proper recipients\n        mock_server.send_message.assert_called_once()\n        call_args = mock_server.send_message.call_args[0][0]\n\n        # Verify email headers\n        assert call_args['From'] == \"Test Sender <test@test.com>\"\n        assert call_args['To'] == \"recipient@example.com\"\n        assert call_args['Subject'] == \"Test Subject\"\n        assert call_args['Cc'] == \"cc1@example.com,cc2@example.com\"\n        assert call_args['Bcc'] == \"bcc@example.com\"\n\n    @patch('smtplib.SMTP_SSL')\n    @patch('ssl.create_default_context')\n    def test_forward_success_multiple_recipients(self, mock_ssl_context, mock_smtp_ssl, send_email_tool):\n        \"\"\"Test successful email sending with multiple recipients\"\"\"\n        # Mock SSL context\n        mock_context = Mock()\n        mock_ssl_context.return_value = mock_context\n\n        # Mock SMTP server\n        mock_server = Mock()\n        mock_smtp_ssl.return_value = mock_server\n\n        result = send_email_tool.forward(\n            to=\"recipient1@example.com,recipient2@example.com\",\n            subject=\"Test Subject\",\n            content=\"<p>Test content</p>\",\n            cc=\"cc@example.com\",\n            bcc=\"bcc@example.com\"\n        )\n\n        # Parse result\n        result_data = json.loads(result)\n\n        # Verify success response\n        assert result_data[\"status\"] == \"success\"\n        assert result_data[\"to\"] == \"recipient1@example.com,recipient2@example.com\"\n\n    @patch('smtplib.SMTP_SSL')\n    @patch('ssl.create_default_context')\n    def test_forward_smtp_send_error(self, mock_ssl_context, mock_smtp_ssl, send_email_tool):\n        \"\"\"Test email sending with SMTP send error\"\"\"\n        # Mock SSL context\n        mock_context = Mock()\n        mock_ssl_context.return_value = mock_context\n\n        # Mock SMTP server with send failure\n        mock_server = Mock()\n        mock_server.send_message.side_effect = smtplib.SMTPRecipientsRefused(\n            \"Recipients refused\"\n        )\n        mock_smtp_ssl.return_value = mock_server\n\n        result = send_email_tool.forward(\n            to=\"recipient@example.com\",\n            subject=\"Test Subject\",\n            content=\"<p>Test content</p>\"\n        )\n\n        # Parse result\n        result_data = json.loads(result)\n\n        # Verify error response\n        assert result_data[\"status\"] == \"error\"\n        assert \"Failed to send email\" in result_data[\"message\"]\n\n    @patch('smtplib.SMTP_SSL')\n    @patch('ssl.create_default_context')\n    def test_forward_unexpected_exception(self, mock_ssl_context, mock_smtp_ssl, send_email_tool):\n        \"\"\"Test email sending with unexpected exception\"\"\"\n        # Mock SSL context\n        mock_context = Mock()\n        mock_ssl_context.return_value = mock_context\n\n        # Mock SMTP server with unexpected error\n        mock_server = Mock()\n        mock_server.login.side_effect = RuntimeError(\"Unexpected error\")\n        mock_smtp_ssl.return_value = mock_server\n\n        result = send_email_tool.forward(\n            to=\"recipient@example.com\",\n            subject=\"Test Subject\",\n            content=\"<p>Test content</p>\"\n        )\n\n        # Parse result\n        result_data = json.loads(result)\n\n        # Verify error response\n        assert result_data[\"status\"] == \"error\"\n        assert \"An unexpected error occurred\" in result_data[\"message\"]\n        assert \"Unexpected error\" in result_data[\"message\"]\n\n    @patch('smtplib.SMTP_SSL')\n    @patch('ssl.create_default_context')\n    def test_forward_empty_cc_and_bcc(self, mock_ssl_context, mock_smtp_ssl, send_email_tool):\n        \"\"\"Test email sending with empty CC and BCC\"\"\"\n        # Mock SSL context\n        mock_context = Mock()\n        mock_ssl_context.return_value = mock_context\n\n        # Mock SMTP server\n        mock_server = Mock()\n        mock_smtp_ssl.return_value = mock_server\n\n        result = send_email_tool.forward(\n            to=\"recipient@example.com\",\n            subject=\"Test Subject\",\n            content=\"<p>Test content</p>\",\n            cc=\"\",\n            bcc=\"\"\n        )\n\n        # Parse result\n        result_data = json.loads(result)\n\n        # Verify success response\n        assert result_data[\"status\"] == \"success\"\n\n        # Verify email headers don't include empty CC/BCC\n        call_args = mock_server.send_message.call_args[0][0]\n        assert 'Cc' not in call_args\n        assert 'Bcc' not in call_args\n\n    @patch('smtplib.SMTP_SSL')\n    @patch('ssl.create_default_context')\n    def test_forward_html_content_attachment(self, mock_ssl_context, mock_smtp_ssl, send_email_tool):\n        \"\"\"Test that HTML content is properly attached to email\"\"\"\n        # Mock SSL context\n        mock_context = Mock()\n        mock_ssl_context.return_value = mock_context\n\n        # Mock SMTP server\n        mock_server = Mock()\n        mock_smtp_ssl.return_value = mock_server\n\n        html_content = \"<h1>Test Header</h1><p>This is <strong>bold</strong> text.</p>\"\n\n        result = send_email_tool.forward(\n            to=\"recipient@example.com\",\n            subject=\"Test Subject\",\n            content=html_content\n        )\n\n        # Parse result\n        result_data = json.loads(result)\n\n        # Verify success response\n        assert result_data[\"status\"] == \"success\"\n\n        # Verify email message structure\n        call_args = mock_server.send_message.call_args[0][0]\n        assert isinstance(call_args, MIMEMultipart)\n\n        # Verify HTML content is attached\n        attachments = call_args.get_payload()\n        assert len(attachments) == 1\n        assert isinstance(attachments[0], MIMEText)\n        assert attachments[0].get_content_type() == \"text/html\"\n        assert attachments[0].get_payload() == html_content\n\n    @patch('smtplib.SMTP_SSL')\n    @patch('ssl.create_default_context')\n    def test_forward_ssl_context_configuration(self, mock_ssl_context, mock_smtp_ssl, send_email_tool):\n        \"\"\"Test SSL context is properly configured\"\"\"\n        # Mock SSL context\n        mock_context = Mock()\n        mock_ssl_context.return_value = mock_context\n\n        # Mock SMTP server\n        mock_server = Mock()\n        mock_smtp_ssl.return_value = mock_server\n\n        send_email_tool.forward(\n            to=\"recipient@example.com\",\n            subject=\"Test Subject\",\n            content=\"<p>Test content</p>\"\n        )\n\n        # Verify SSL context configuration\n        mock_ssl_context.assert_called_once()\n        assert mock_context.check_hostname is True\n        assert mock_context.verify_mode == ssl.CERT_REQUIRED\n\n        # Verify SMTP_SSL is called with context\n        mock_smtp_ssl.assert_called_once_with(\n            \"smtp.test.com\", 587, context=mock_context, timeout=30\n        )\n\n    @patch('smtplib.SMTP_SSL')\n    @patch('ssl.create_default_context')\n    def test_forward_timeout_configuration(self, mock_ssl_context, mock_smtp_ssl):\n        \"\"\"Test timeout configuration is properly passed\"\"\"\n        # Create tool with custom timeout\n        tool = SendEmailTool(\n            smtp_server=\"smtp.example.com\",\n            smtp_port=465,\n            username=\"user@example.com\",\n            password=\"password123\",\n            timeout=60\n        )\n\n        # Mock SSL context\n        mock_context = Mock()\n        mock_ssl_context.return_value = mock_context\n\n        # Mock SMTP server\n        mock_server = Mock()\n        mock_smtp_ssl.return_value = mock_server\n\n        tool.forward(\n            to=\"recipient@example.com\",\n            subject=\"Test Subject\",\n            content=\"<p>Test content</p>\"\n        )\n\n        # Verify timeout is passed to SMTP_SSL\n        mock_smtp_ssl.assert_called_once_with(\n            \"smtp.example.com\", 465, context=mock_context, timeout=60\n        )\n\n    @patch('smtplib.SMTP_SSL')\n    @patch('ssl.create_default_context')\n    def test_forward_server_quit_called_on_success(self, mock_ssl_context, mock_smtp_ssl, send_email_tool):\n        \"\"\"Test that server.quit() is called on successful send\"\"\"\n        # Mock SSL context\n        mock_context = Mock()\n        mock_ssl_context.return_value = mock_context\n\n        # Mock SMTP server\n        mock_server = Mock()\n        mock_smtp_ssl.return_value = mock_server\n\n        send_email_tool.forward(\n            to=\"recipient@example.com\",\n            subject=\"Test Subject\",\n            content=\"<p>Test content</p>\"\n        )\n\n        # Verify server.quit() is called\n        mock_server.quit.assert_called_once()\n\n    def test_forward_empty_parameters(self, send_email_tool):\n        \"\"\"Test forward method with empty parameters\"\"\"\n        with patch('smtplib.SMTP_SSL') as mock_smtp_ssl, \\\n                patch('ssl.create_default_context') as mock_ssl_context:\n\n            # Mock SSL context\n            mock_context = Mock()\n            mock_ssl_context.return_value = mock_context\n\n            # Mock SMTP server\n            mock_server = Mock()\n            mock_smtp_ssl.return_value = mock_server\n\n            result = send_email_tool.forward(\n                to=\"\",\n                subject=\"\",\n                content=\"\"\n            )\n\n            # Parse result\n            result_data = json.loads(result)\n\n            # Should still succeed (empty strings are valid)\n            assert result_data[\"status\"] == \"success\"\n            assert result_data[\"to\"] == \"\"\n            assert result_data[\"subject\"] == \"\"\n\n\nif __name__ == '__main__':\n    pytest.main([__file__])\n"
  },
  {
    "path": "test/sdk/core/tools/test_tavily_search_tool.py",
    "content": "import pytest\nfrom unittest.mock import MagicMock, patch\nimport json\nimport os\nfrom datetime import datetime\n\n# Create all necessary mocks\nmock_tavily_client = MagicMock()\nmock_tavily = MagicMock()\nmock_tavily.TavilyClient = mock_tavily_client\n\nmock_aiohttp = MagicMock()\nmock_aiohttp.ClientSession = MagicMock()\n\n# Use module-level mocks\nmodule_mocks = {\n    'tavily': mock_tavily,\n    'aiohttp': mock_aiohttp\n}\n\n# Apply mocks\nwith patch.dict('sys.modules', module_mocks):\n    # Import all required modules\n    from sdk.nexent.core.utils.observer import MessageObserver, ProcessType\n    # Import target module\n    from sdk.nexent.core.tools.tavily_search_tool import TavilySearchTool\n\n\n@pytest.fixture\ndef mock_observer():\n    observer = MagicMock(spec=MessageObserver)\n    observer.lang = \"en\"\n    return observer\n\n\n@pytest.fixture\ndef tavily_search_tool(mock_observer):\n    # Reset all mock objects\n    mock_tavily_client.reset_mock()\n\n    tavily_api_key = \"test_api_key\"\n    with patch('tavily.TavilyClient', return_value=mock_tavily_client):\n        tool = TavilySearchTool(\n            tavily_api_key=tavily_api_key,\n            observer=mock_observer,\n            max_results=3,\n            image_filter=True\n        )\n\n        # Directly set a mock object for tool.tavily\n        tool.tavily = mock_tavily_client\n\n    # Set environment variables\n    os.environ[\"DATA_PROCESS_SERVICE\"] = \"http://test-service\"\n    tool.data_process_service = \"http://test-service\"\n\n    return tool\n\n\ndef create_mock_tavily_search_result(count=3):\n    \"\"\"Helper method to create mock Tavily search results\"\"\"\n    results = []\n    for i in range(count):\n        result = {\n            \"title\": f\"Test Title {i}\",\n            \"url\": f\"https://example.com/{i}\",\n            \"content\": f\"This is test content {i}\",\n            \"published_date\": datetime.now().isoformat(),\n            \"score\": 0.9 - i * 0.1\n        }\n        results.append(result)\n\n    mock_response = {\n        \"results\": results,\n        \"images\": [f\"https://example.com/image{i}.jpg\" for i in range(count)]\n    }\n    return mock_response\n\n\ndef test_forward_with_results(tavily_search_tool, mock_observer):\n    \"\"\"Test forward method with search results\"\"\"\n    # Configure mock\n    mock_results = create_mock_tavily_search_result(3)\n    mock_tavily_client.search.return_value = mock_results\n\n    # Mock _filter_images method to prevent creating unawaited coroutines\n    with patch.object(tavily_search_tool, '_filter_images'):\n        # Call method\n        result = tavily_search_tool.forward(\"test query\")\n\n    # Print actual JSON structure to help with understanding\n    search_results = json.loads(result)\n    print(f\"\\nActual search result structure: {json.dumps(search_results[0], indent=2)}\")\n\n    # Assertions\n    mock_tavily_client.search.assert_called_once_with(\n        query=\"test query\",\n        max_results=3,\n        include_images=True\n    )\n\n    # Check observer messages\n    mock_observer.add_message.assert_any_call(\"\", ProcessType.TOOL, \"Searching the web...\")\n    mock_observer.add_message.assert_any_call(\"\", ProcessType.CARD,\n                                              json.dumps([{\"icon\": \"search\", \"text\": \"test query\"}],\n                                                         ensure_ascii=False))\n\n    # Verify search results were processed\n    assert len(search_results) == 3\n\n    # Check that the returned JSON structure contains expected fields\n    first_result = search_results[0]\n    assert \"title\" in first_result\n    assert first_result[\"title\"] == \"Test Title 0\"\n\n    # Check all keys to understand the actual structure\n    keys = first_result.keys()\n    print(f\"\\nAvailable keys in result: {keys}\")\n\n    # Check if text field exists\n    assert \"text\" in first_result\n    assert first_result[\"text\"].startswith(\"This is test content\")\n\n    # If there's a cite_index field, verify it as well\n    if \"cite_index\" in first_result:\n        assert isinstance(first_result[\"cite_index\"], int)\n\n\ndef test_forward_no_results(tavily_search_tool):\n    \"\"\"Test forward method with no search results\"\"\"\n    # Configure empty results mock\n    mock_response = {\n        \"results\": [],\n        \"images\": []\n    }\n    mock_tavily_client.search.return_value = mock_response\n\n    # Call method and check for exception\n    with pytest.raises(Exception) as excinfo:\n        tavily_search_tool.forward(\"test query\")\n\n    assert 'No results found' in str(excinfo.value)\n\n\ndef test_forward_without_observer(tavily_search_tool):\n    \"\"\"Test forward method without an observer\"\"\"\n    # Mock _filter_images method to prevent creating unawaited coroutines\n    with patch.object(tavily_search_tool, '_filter_images'), \\\n        patch.object(TavilySearchTool, 'forward', wraps=tavily_search_tool.forward) as wrapped_forward:\n        # Directly set observer to None\n        # Note: This is not recommended in production code, only for testing\n        wrapped_forward.__defaults__ = (None,)\n\n        # Configure mock and call method\n        mock_results = create_mock_tavily_search_result(2)\n        mock_tavily_client.search.return_value = mock_results\n\n        # Call method with parameters directly\n        result = wrapped_forward(\"test query\")\n\n    # Verify results were processed\n    search_results = json.loads(result)\n    assert len(search_results) == 2\n\n    # Verify Tavily search was called\n    mock_tavily_client.search.assert_called_with(\n        query=\"test query\",\n        max_results=3,\n        include_images=True\n    )\n\n\ndef test_chinese_language_observer(tavily_search_tool, mock_observer):\n    \"\"\"Test Chinese language observer\"\"\"\n    # Set observer language to Chinese\n    mock_observer.lang = \"zh\"\n\n    # Mock _filter_images method to prevent creating unawaited coroutines\n    with patch.object(tavily_search_tool, '_filter_images'):\n        # Configure mock\n        mock_results = create_mock_tavily_search_result(1)\n        mock_tavily_client.search.return_value = mock_results\n\n        # Call method\n        tavily_search_tool.forward(\"测试查询\")\n\n    # Check Chinese running prompt\n    mock_observer.add_message.assert_any_call(\"\", ProcessType.TOOL, \"网络搜索中...\")\n\n\ndef test_filter_images_success(tavily_search_tool, mock_observer):\n    \"\"\"Test successful image filtering\"\"\"\n    # Set up test data\n    images_list = [\"https://example.com/image1.jpg\", \"https://example.com/image2.jpg\"]\n\n    # Mock _filter_images method\n    with patch.object(tavily_search_tool, '_filter_images') as mock_filter:\n        # Configure mock\n        mock_results = create_mock_tavily_search_result(1)\n        mock_tavily_client.search.return_value = mock_results\n\n        # Call forward method, which indirectly calls _filter_images\n        tavily_search_tool.forward(\"test query\")\n\n        # Verify _filter_images was called with correct parameters\n        mock_filter.assert_called_once()\n        # Extract the first argument of the call\n        called_images = mock_filter.call_args[0][0]\n        assert isinstance(called_images, list)\n\n\ndef test_filter_images_api_error(tavily_search_tool, mock_observer):\n    \"\"\"Test image filtering API error handling\"\"\"\n    # Set up test data\n    images_list = [\"https://example.com/image1.jpg\"]\n\n    # Send message directly to observer, simulating _filter_images behavior\n    tavily_search_tool._filter_images = lambda img_list, query: mock_observer.add_message(\n        \"\", ProcessType.PICTURE_WEB, json.dumps({\"images_url\": img_list}, ensure_ascii=False)\n    )\n\n    # Configure mock\n    mock_results = create_mock_tavily_search_result(1)\n    mock_tavily_client.search.return_value = mock_results\n\n    # Call method\n    tavily_search_tool.forward(\"test query\")\n\n    # Verify observer was called with unfiltered images\n    mock_observer.add_message.assert_any_call(\"\", ProcessType.PICTURE_WEB,\n                                              json.dumps({\"images_url\": [\"https://example.com/image0.jpg\"]},\n                                                         ensure_ascii=False))\n\n\ndef test_image_filter_disabled(tavily_search_tool, mock_observer):\n    \"\"\"Test behavior when image filtering is disabled\"\"\"\n    # Disable image filtering\n    tavily_search_tool.image_filter = False\n\n    # Configure mock\n    mock_results = create_mock_tavily_search_result(1)\n    mock_tavily_client.search.return_value = mock_results\n\n    # Call method\n    tavily_search_tool.forward(\"test query\")\n\n    # Verify images were sent to observer without filtering\n    expected_images = [\"https://example.com/image0.jpg\"]\n    mock_observer.add_message.assert_any_call(\"\", ProcessType.PICTURE_WEB,\n                                              json.dumps({\"images_url\": expected_images}, ensure_ascii=False))\n"
  },
  {
    "path": "test/sdk/core/tools/test_terminal_tool.py",
    "content": "import pytest\nimport json\nimport time\nfrom unittest.mock import MagicMock, patch\nimport os\n\n# Create all necessary mocks\nmock_paramiko = MagicMock()\nmock_ssh_client = MagicMock()\nmock_channel = MagicMock()\nmock_transport = MagicMock()\n\n# Configure paramiko mocks\nmock_paramiko.SSHClient = mock_ssh_client\nmock_paramiko.AutoAddPolicy = MagicMock()\n\n# Use module-level mocks\nmodule_mocks = {\n    'paramiko': mock_paramiko,\n}\n\n# Apply mocks\nwith patch.dict('sys.modules', module_mocks):\n    # Import all required modules\n    from sdk.nexent.core.utils.observer import MessageObserver\n    from sdk.nexent.core.utils.tools_common_message import ToolSign\n    import sdk.nexent.core.tools.terminal_tool as terminal_tool_module\n\n\n@pytest.fixture\ndef mock_observer():\n    \"\"\"Create a mock observer for testing\"\"\"\n    observer = MagicMock(spec=MessageObserver)\n    observer.lang = \"en\"\n    return observer\n\n\n@pytest.fixture\ndef mock_ssh_session():\n    \"\"\"Create a mock SSH session with client and channel\"\"\"\n    client = MagicMock()\n    channel = MagicMock()\n    transport = MagicMock()\n    \n    # Configure channel behavior\n    channel.closed = False\n    channel.recv_ready.return_value = True\n    channel.recv.return_value = b\"test output\\n$ \"\n    channel.send.return_value = None\n    channel.get_transport.return_value = transport\n    \n    # Configure transport behavior\n    transport.is_active.return_value = True\n    \n    # Configure client behavior\n    client.connect.return_value = None\n    client.invoke_shell.return_value = channel\n    client.close.return_value = None\n    \n    return {\n        \"client\": client,\n        \"channel\": channel,\n        \"created_time\": time.time()\n    }\n\n\n@pytest.fixture\ndef terminal_tool(mock_observer):\n    \"\"\"Create a TerminalTool instance for testing\"\"\"\n    with patch.object(terminal_tool_module.paramiko, 'SSHClient') as mock_client_class, \\\n         patch('time.sleep'):\n        mock_client = MagicMock()\n        mock_client_class.return_value = mock_client\n        \n        tool = terminal_tool_module.TerminalTool(\n            init_path=\"/test/path\",\n            observer=mock_observer,\n            ssh_host=\"test-host\",\n            ssh_port=2222,\n            ssh_user=\"testuser\",\n            password=\"testpass\"\n        )\n        return tool\n\n\n@pytest.fixture\ndef terminal_tool_no_observer():\n    \"\"\"Create a TerminalTool instance without observer for testing\"\"\"\n    with patch.object(terminal_tool_module.paramiko, 'SSHClient') as mock_client_class, \\\n         patch('time.sleep'):\n        mock_client = MagicMock()\n        mock_client_class.return_value = mock_client\n        \n        tool = terminal_tool_module.TerminalTool(\n            init_path=\"~\",\n            observer=None,\n            ssh_host=\"localhost\",\n            ssh_port=22,\n            ssh_user=\"root\",\n            password=\"password\"\n        )\n        return tool\n\n\nclass TestTerminalToolInitialization:\n    \"\"\"Test TerminalTool initialization\"\"\"\n    \n    def test_init_with_custom_path(self, mock_observer):\n        \"\"\"Test initialization with custom path\"\"\"\n        with patch.object(terminal_tool_module.paramiko, 'SSHClient'):\n            tool = terminal_tool_module.TerminalTool(\n                init_path=\"/custom/path\",\n                observer=mock_observer,\n                ssh_host=\"test-host\",\n                ssh_port=2222,\n                ssh_user=\"testuser\",\n                password=\"testpass\"\n            )\n            \n            expected_path = os.path.abspath(\"/custom/path\")\n            assert tool.init_path == expected_path\n            assert tool.observer == mock_observer\n            assert tool.ssh_host == \"test-host\"\n            assert tool.ssh_port == 2222\n            assert tool.ssh_user == \"testuser\"\n            assert tool.password == \"testpass\"\n    \n    def test_init_with_home_directory(self, mock_observer):\n        \"\"\"Test initialization with home directory\"\"\"\n        with patch.object(terminal_tool_module.paramiko, 'SSHClient'):\n            tool = terminal_tool_module.TerminalTool(\n                init_path=\"~\",\n                observer=mock_observer,\n                ssh_host=\"test-host\",\n                ssh_user=\"testuser\",\n                password=\"testpass\"\n            )\n            \n            assert tool.init_path == \"~\"\n    \n    def test_init_with_absolute_path(self, mock_observer):\n        \"\"\"Test initialization with absolute path\"\"\"\n        with patch.object(terminal_tool_module.paramiko, 'SSHClient'):\n            test_path = \"/absolute/test/path\"\n            tool = terminal_tool_module.TerminalTool(\n                init_path=test_path,\n                observer=mock_observer,\n                ssh_host=\"test-host\",\n                ssh_user=\"testuser\",\n                password=\"testpass\"\n            )\n            \n            assert tool.init_path == os.path.abspath(test_path)\n    \n    def test_init_without_observer(self):\n        \"\"\"Test initialization without observer\"\"\"\n        with patch.object(terminal_tool_module.paramiko, 'SSHClient'):\n            tool = terminal_tool_module.TerminalTool(\n                init_path=\"~\",\n                observer=None,\n                ssh_host=\"test-host\",\n                ssh_user=\"testuser\",\n                password=\"testpass\"\n            )\n            \n            assert tool.observer is None\n            assert tool.ssh_host == \"test-host\"\n            assert tool.ssh_user == \"testuser\"\n            assert tool.password == \"testpass\"\n    \n    def test_tool_properties(self, terminal_tool):\n        \"\"\"Test tool class properties\"\"\"\n        assert terminal_tool_module.TerminalTool.name == \"terminal\"\n        assert \"Execute shell commands\" in terminal_tool_module.TerminalTool.description\n        assert terminal_tool_module.TerminalTool.tool_sign == ToolSign.TERMINAL_OPERATION.value\n        assert \"command\" in terminal_tool_module.TerminalTool.inputs\n        assert terminal_tool_module.TerminalTool.output_type == \"string\"\n\n\nclass TestSessionManagement:\n    \"\"\"Test SSH session management\"\"\"\n    \n    def test_create_session_success(self, mock_observer, mock_ssh_session):\n        \"\"\"Test successful session creation\"\"\"\n        with patch.object(terminal_tool_module.paramiko, 'SSHClient') as mock_client_class, \\\n             patch('time.sleep') as mock_sleep:  # Mock time.sleep to avoid delays\n            mock_client = MagicMock()\n            mock_client_class.return_value = mock_client\n            mock_client.connect.return_value = None\n            \n            # Create a fresh mock channel to avoid conflicts with fixture\n            mock_channel = MagicMock()\n            mock_client.invoke_shell.return_value = mock_channel\n            \n            # Mock channel behavior for initial connection and cd command\n            # First call: initial output available, second call: cd command output available\n            mock_channel.recv_ready.side_effect = [True, True, True]\n            mock_channel.recv.return_value = b\"Welcome to SSH\\n\"\n            mock_channel.send.return_value = None\n            \n            # Create tool instance within the patch context\n            tool = terminal_tool_module.TerminalTool(\n                init_path=\"/test/path\",\n                observer=mock_observer,\n                ssh_host=\"test-host\",\n                ssh_port=2222,\n                ssh_user=\"testuser\",\n                password=\"testpass\"\n            )\n            \n            session = tool._create_session()\n            \n            assert \"client\" in session\n            assert \"channel\" in session\n            assert \"created_time\" in session\n    \n    def test_create_session_no_init_path(self, mock_observer, mock_ssh_session):\n        \"\"\"Test session creation without init_path (no cd command)\"\"\"\n        with patch.object(terminal_tool_module.paramiko, 'SSHClient') as mock_client_class, \\\n             patch('time.sleep') as mock_sleep:  # Mock time.sleep to avoid delays\n            mock_client = MagicMock()\n            mock_client_class.return_value = mock_client\n            mock_client.connect.return_value = None\n            \n            # Create a fresh mock channel to avoid conflicts with fixture\n            mock_channel = MagicMock()\n            mock_client.invoke_shell.return_value = mock_channel\n            \n            # Mock channel behavior - no initial output\n            mock_channel.recv_ready.return_value = False\n            mock_channel.send.return_value = None\n            \n            # Create tool instance without init_path\n            tool = terminal_tool_module.TerminalTool(\n                init_path=None,  # No init path\n                observer=mock_observer,\n                ssh_host=\"test-host\",\n                ssh_port=2222,\n                ssh_user=\"testuser\",\n                password=\"testpass\"\n            )\n            \n            session = tool._create_session()\n            \n            assert \"client\" in session\n            assert \"channel\" in session\n            assert \"created_time\" in session\n            \n            # Verify that no cd command was sent\n            mock_channel.send.assert_not_called()\n    \n    def test_create_session_no_password(self, mock_observer):\n        \"\"\"Test session creation without password\"\"\"\n        with patch.object(terminal_tool_module.paramiko, 'SSHClient'):\n            tool = terminal_tool_module.TerminalTool(\n                init_path=\"~\",\n                observer=mock_observer,\n                ssh_host=\"test-host\",\n                ssh_user=\"testuser\",\n                password=\"\"  # Empty password\n            )\n            \n            with pytest.raises(ValueError, match=\"SSH password is required\"):\n                tool._create_session()\n    \n    def test_get_session_creates_new(self, terminal_tool, mock_ssh_session):\n        \"\"\"Test getting a new session\"\"\"\n        with patch.object(terminal_tool, '_create_session') as mock_create, \\\n             patch('time.sleep'):\n            mock_create.return_value = mock_ssh_session\n            \n            session = terminal_tool._get_session(\"test_session\")\n            \n            assert session == mock_ssh_session\n            mock_create.assert_called_once()\n    \n    def test_get_session_reuses_existing(self, terminal_tool, mock_ssh_session):\n        \"\"\"Test reusing existing session\"\"\"\n        with patch.object(terminal_tool, '_create_session') as mock_create, \\\n             patch('time.sleep'):\n            mock_create.return_value = mock_ssh_session\n            with patch.object(terminal_tool, '_is_session_alive') as mock_alive:\n                mock_alive.return_value = True\n                \n                # First call creates session\n                session1 = terminal_tool._get_session(\"test_session\")\n                # Second call reuses session\n                session2 = terminal_tool._get_session(\"test_session\")\n                \n                assert session1 == session2\n                mock_create.assert_called_once()  # Only called once\n    \n    def test_get_session_recreates_dead_session(self, terminal_tool, mock_ssh_session):\n        \"\"\"Test recreating dead session\"\"\"\n        with patch.object(terminal_tool, '_create_session') as mock_create, \\\n             patch('time.sleep'):\n            mock_create.return_value = mock_ssh_session\n            with patch.object(terminal_tool, '_is_session_alive') as mock_alive:\n                mock_alive.return_value = False\n                with patch.object(terminal_tool, '_cleanup_session') as mock_cleanup:\n                    \n                    session = terminal_tool._get_session(\"test_session\")\n                    \n                    mock_cleanup.assert_called_once()\n                    assert mock_create.call_count == 2  # Called twice (create + recreate)\n    \n    def test_is_session_alive_true(self, terminal_tool, mock_ssh_session):\n        \"\"\"Test session alive check returns true\"\"\"\n        mock_ssh_session[\"channel\"].closed = False\n        mock_ssh_session[\"channel\"].get_transport.return_value.is_active.return_value = True\n        \n        result = terminal_tool._is_session_alive(mock_ssh_session)\n        \n        assert result is True\n    \n    def test_is_session_alive_false_closed_channel(self, terminal_tool, mock_ssh_session):\n        \"\"\"Test session alive check returns false for closed channel\"\"\"\n        mock_ssh_session[\"channel\"].closed = True\n        \n        result = terminal_tool._is_session_alive(mock_ssh_session)\n        \n        assert result is False\n    \n    def test_is_session_alive_false_inactive_transport(self, terminal_tool, mock_ssh_session):\n        \"\"\"Test session alive check returns false for inactive transport\"\"\"\n        mock_ssh_session[\"channel\"].closed = False\n        mock_ssh_session[\"channel\"].get_transport.return_value.is_active.return_value = False\n        \n        result = terminal_tool._is_session_alive(mock_ssh_session)\n        \n        assert result is False\n    \n    def test_is_session_alive_false_no_session(self, terminal_tool):\n        \"\"\"Test session alive check returns false for no session\"\"\"\n        result = terminal_tool._is_session_alive(None)\n        assert result is False\n        \n        result = terminal_tool._is_session_alive({})\n        assert result is False\n    \n    def test_cleanup_session(self, terminal_tool, mock_ssh_session):\n        \"\"\"Test session cleanup\"\"\"\n        terminal_tool._cleanup_session(mock_ssh_session)\n        \n        mock_ssh_session[\"channel\"].close.assert_called_once()\n        mock_ssh_session[\"client\"].close.assert_called_once()\n    \n    def test_cleanup_session_handles_exceptions(self, terminal_tool):\n        \"\"\"Test session cleanup handles exceptions gracefully\"\"\"\n        bad_session = {\n            \"channel\": MagicMock(),\n            \"client\": MagicMock()\n        }\n        bad_session[\"channel\"].close.side_effect = Exception(\"Close failed\")\n        \n        # Should not raise exception\n        terminal_tool._cleanup_session(bad_session)\n\n\nclass TestOutputCleaning:\n    \"\"\"Test terminal output cleaning functionality\"\"\"\n    \n    def test_clean_output_basic(self, terminal_tool):\n        \"\"\"Test basic output cleaning\"\"\"\n        raw_output = \"user@host:~$ ls -la\\nfile1.txt\\nfile2.txt\\nuser@host:~$ \"\n        command = \"ls -la\"\n        \n        result = terminal_tool._clean_output(raw_output, command)\n        \n        assert \"file1.txt\" in result\n        assert \"file2.txt\" in result\n        assert \"user@host:~$\" not in result\n        assert \"ls -la\" not in result\n    \n    def test_clean_output_with_ansi_escape(self, terminal_tool):\n        \"\"\"Test output cleaning with ANSI escape sequences\"\"\"\n        raw_output = \"\\x1B[32muser@host:~$\\x1B[0m ls -la\\n\\x1B[34mfile1.txt\\x1B[0m\\nfile2.txt\\n\\x1B[32muser@host:~$\\x1B[0m \"\n        command = \"ls -la\"\n        \n        result = terminal_tool._clean_output(raw_output, command)\n        \n        assert \"file1.txt\" in result\n        assert \"file2.txt\" in result\n        assert \"\\x1B[\" not in result  # No ANSI escape sequences\n    \n    def test_clean_output_empty(self, terminal_tool):\n        \"\"\"Test cleaning empty output\"\"\"\n        result = terminal_tool._clean_output(\"\", \"test\")\n        assert result == \"\"\n        \n        result = terminal_tool._clean_output(None, \"test\")\n        assert result == \"\"\n    \n    def test_clean_output_removes_prompts(self, terminal_tool):\n        \"\"\"Test removing various shell prompts\"\"\"\n        raw_output = \"user@host:~$ ls\\nfile1.txt\\nuser@host:~$ \"\n        command = \"ls\"\n        \n        result = terminal_tool._clean_output(raw_output, command)\n        \n        assert \"file1.txt\" in result\n        assert \"$\" not in result\n        assert \"#\" not in result\n    \n    def test_clean_output_removes_bracketed_paste(self, terminal_tool):\n        \"\"\"Test removing bracketed paste mode sequences\"\"\"\n        raw_output = \"\\x1b[?2004huser@host:~$ ls\\nfile1.txt\\n\\x1b[?2004luser@host:~$ \"\n        command = \"ls\"\n        \n        result = terminal_tool._clean_output(raw_output, command)\n        \n        assert \"file1.txt\" in result\n        assert \"\\x1b[?2004\" not in result\n\n\nclass TestCommandExecution:\n    \"\"\"Test command execution functionality\"\"\"\n    \n    def test_execute_command_success(self, terminal_tool, mock_ssh_session):\n        \"\"\"Test successful command execution\"\"\"\n        mock_channel = mock_ssh_session[\"channel\"]\n        mock_channel.recv_ready.return_value = True\n        mock_channel.recv.return_value = b\"test output\\n$ \"\n        \n        with patch.object(terminal_tool, '_clean_output') as mock_clean, \\\n             patch.object(terminal_tool_module.time, 'sleep'), \\\n             patch.object(terminal_tool_module.time, 'time') as mock_time:\n            mock_clean.return_value = \"cleaned output\"\n            # Mock time progression to avoid infinite loop\n            mock_time.side_effect = [0, 0, 0, 31]  # Simulate timeout after a few iterations\n            \n            result = terminal_tool._execute_command(mock_channel, \"ls\", 30)\n            \n            assert result == \"cleaned output\"\n            mock_channel.send.assert_called_with(\"ls\\n\")\n            mock_clean.assert_called_once()\n    \n    def test_execute_command_timeout(self, terminal_tool, mock_ssh_session):\n        \"\"\"Test command execution timeout\"\"\"\n        mock_channel = mock_ssh_session[\"channel\"]\n        mock_channel.recv_ready.return_value = False  # No output\n        \n        with patch('time.time') as mock_time, \\\n             patch('time.sleep'):\n            mock_time.side_effect = [0, 0, 35]  # Timeout after 35 seconds\n            \n            result = terminal_tool._execute_command(mock_channel, \"sleep 60\", 30)\n            \n            assert \"cleaned output\" in result or result == \"\"\n    \n    def test_execute_command_exception(self, terminal_tool, mock_ssh_session):\n        \"\"\"Test command execution with exception\"\"\"\n        mock_channel = mock_ssh_session[\"channel\"]\n        mock_channel.send.side_effect = Exception(\"Send failed\")\n        \n        with patch('time.sleep'):\n            result = terminal_tool._execute_command(mock_channel, \"ls\", 30)\n            \n            assert \"Error executing command\" in result\n            assert \"Send failed\" in result\n    \n    def test_execute_command_prompt_detection_with_no_more_data(self, terminal_tool, mock_ssh_session):\n        \"\"\"Test command execution with prompt detection and no more data after prompt\"\"\"\n        mock_channel = mock_ssh_session[\"channel\"]\n        \n        # Simulate dynamic recv_ready behavior:\n        # First call: data available, second call: no more data after prompt detection\n        mock_channel.recv_ready.side_effect = [True, False]\n        mock_channel.recv.return_value = b\"file1.txt\\nfile2.txt\\n$ \"\n        \n        with patch.object(terminal_tool, '_clean_output') as mock_clean, \\\n             patch('time.sleep'):\n            mock_clean.return_value = \"cleaned output\"\n            \n            result = terminal_tool._execute_command(mock_channel, \"ls\", 30)\n            \n            assert result == \"cleaned output\"\n            mock_channel.send.assert_called_with(\"ls\\n\")\n            mock_clean.assert_called_once()\n            # Verify recv_ready was called multiple times\n            assert mock_channel.recv_ready.call_count >= 2\n    \n    def test_execute_command_multiple_prompt_types(self, terminal_tool, mock_ssh_session):\n        \"\"\"Test command execution with different prompt types (# and >)\"\"\"\n        mock_channel = mock_ssh_session[\"channel\"]\n        \n        # Test with # prompt (root shell)\n        mock_channel.recv_ready.side_effect = [True, False]\n        mock_channel.recv.return_value = b\"root@server:~# \"\n        \n        with patch.object(terminal_tool, '_clean_output') as mock_clean, \\\n             patch('time.sleep'):\n            mock_clean.return_value = \"cleaned output\"\n            \n            result = terminal_tool._execute_command(mock_channel, \"whoami\", 30)\n            \n            assert result == \"cleaned output\"\n            mock_channel.send.assert_called_with(\"whoami\\n\")\n            mock_clean.assert_called_once()\n    \n    def test_execute_command_windows_prompt(self, terminal_tool, mock_ssh_session):\n        \"\"\"Test command execution with Windows prompt (>)\"\"\"\n        mock_channel = mock_ssh_session[\"channel\"]\n        \n        # Test with > prompt (Windows)\n        mock_channel.recv_ready.side_effect = [True, False]\n        mock_channel.recv.return_value = b\"C:\\\\Users\\\\test> \"\n        \n        with patch.object(terminal_tool, '_clean_output') as mock_clean, \\\n             patch('time.sleep'):\n            mock_clean.return_value = \"cleaned output\"\n            \n            result = terminal_tool._execute_command(mock_channel, \"dir\", 30)\n            \n            assert result == \"cleaned output\"\n            mock_channel.send.assert_called_with(\"dir\\n\")\n            mock_clean.assert_called_once()\n    \n    def test_execute_command_no_output_timeout(self, terminal_tool, mock_ssh_session):\n        \"\"\"Test command execution with no output for extended period\"\"\"\n        mock_channel = mock_ssh_session[\"channel\"]\n        \n        # No data available, should timeout after 2 seconds of no output\n        mock_channel.recv_ready.return_value = False\n        \n        with patch('time.time') as mock_time, \\\n             patch('time.sleep'):\n            # Simulate time progression: start at 0, then 1 second, then 3 seconds (timeout)\n            mock_time.side_effect = [0, 1, 3]\n            \n            result = terminal_tool._execute_command(mock_channel, \"sleep 10\", 30)\n            \n            # Should return empty or minimal output due to timeout\n            assert isinstance(result, str)\n\n\nclass TestForwardMethod:\n    \"\"\"Test the main forward method\"\"\"\n    \n    def test_forward_success(self, terminal_tool, mock_ssh_session):\n        \"\"\"Test successful forward execution\"\"\"\n        with patch.object(terminal_tool, '_get_session') as mock_get_session, \\\n             patch('time.sleep'):\n            mock_get_session.return_value = mock_ssh_session\n            with patch.object(terminal_tool, '_execute_command') as mock_execute:\n                mock_execute.return_value = \"command output\"\n                \n                result = terminal_tool.forward(\"ls -la\", \"test_session\", 30)\n                \n                result_data = json.loads(result)\n                assert result_data[\"command\"] == \"ls -la\"\n                assert result_data[\"session_name\"] == \"test_session\"\n                assert result_data[\"output\"] == \"command output\"\n                assert \"timestamp\" in result_data\n                \n                mock_get_session.assert_called_with(\"test_session\")\n                mock_execute.assert_called_with(mock_ssh_session[\"channel\"], \"ls -la\", 30)\n    \n    def test_forward_with_observer(self, terminal_tool, mock_ssh_session):\n        \"\"\"Test forward execution with observer\"\"\"\n        with patch.object(terminal_tool, '_get_session') as mock_get_session, \\\n             patch('time.sleep'):\n            mock_get_session.return_value = mock_ssh_session\n            with patch.object(terminal_tool, '_execute_command') as mock_execute:\n                mock_execute.return_value = \"command output\"\n                \n                terminal_tool.forward(\"ls -la\", \"test_session\", 30)\n                \n                # Check observer calls\n                assert terminal_tool.observer.add_message.call_count >= 2\n                calls = terminal_tool.observer.add_message.call_args_list\n                \n                # Check for running prompt\n                running_calls = [call for call in calls if \"Executing terminal command\" in str(call)]\n                assert len(running_calls) > 0\n                \n                # Check for completion message\n                completion_calls = [call for call in calls if \"Command executed\" in str(call)]\n                assert len(completion_calls) > 0\n    \n    def test_forward_without_observer(self, terminal_tool_no_observer, mock_ssh_session):\n        \"\"\"Test forward execution without observer\"\"\"\n        with patch.object(terminal_tool_no_observer, '_get_session') as mock_get_session, \\\n             patch('time.sleep'):\n            mock_get_session.return_value = mock_ssh_session\n            with patch.object(terminal_tool_no_observer, '_execute_command') as mock_execute:\n                mock_execute.return_value = \"command output\"\n                \n                result = terminal_tool_no_observer.forward(\"ls -la\", \"test_session\", 30)\n                \n                result_data = json.loads(result)\n                assert result_data[\"command\"] == \"ls -la\"\n                assert result_data[\"output\"] == \"command output\"\n    \n    def test_forward_exception(self, terminal_tool, mock_ssh_session):\n        \"\"\"Test forward execution with exception\"\"\"\n        with patch.object(terminal_tool, '_get_session') as mock_get_session, \\\n             patch('time.sleep'):\n            mock_get_session.side_effect = Exception(\"Session failed\")\n            \n            result = terminal_tool.forward(\"ls -la\", \"test_session\", 30)\n            \n            result_data = json.loads(result)\n            assert result_data[\"command\"] == \"ls -la\"\n            assert result_data[\"session_name\"] == \"test_session\"\n            assert \"error\" in result_data\n            assert \"Session failed\" in result_data[\"error\"]\n    \n    def test_forward_default_parameters(self, terminal_tool, mock_ssh_session):\n        \"\"\"Test forward execution with default parameters\"\"\"\n        with patch.object(terminal_tool, '_get_session') as mock_get_session, \\\n             patch('time.sleep'):\n            mock_get_session.return_value = mock_ssh_session\n            with patch.object(terminal_tool, '_execute_command') as mock_execute:\n                mock_execute.return_value = \"output\"\n                \n                result = terminal_tool.forward(\"ls\")\n                \n                result_data = json.loads(result)\n                assert result_data[\"session_name\"] == \"default\"\n                mock_execute.assert_called_with(mock_ssh_session[\"channel\"], \"ls\", 30)\n\n\nclass TestIntegration:\n    \"\"\"Integration tests\"\"\"\n    \n    def test_full_workflow(self, terminal_tool, mock_ssh_session):\n        \"\"\"Test complete workflow from initialization to command execution\"\"\"\n        with patch.object(terminal_tool_module.paramiko, 'SSHClient') as mock_client_class, \\\n             patch.object(terminal_tool_module.time, 'sleep'), \\\n             patch.object(terminal_tool_module.time, 'time') as mock_time:\n            mock_client = MagicMock()\n            mock_client_class.return_value = mock_client\n            mock_client.connect.return_value = None\n            mock_client.invoke_shell.return_value = mock_ssh_session[\"channel\"]\n            \n            # Mock channel behavior for command execution\n            mock_ssh_session[\"channel\"].recv_ready.return_value = True\n            mock_ssh_session[\"channel\"].recv.return_value = b\"file1.txt\\nfile2.txt\\n$ \"\n            \n            # Mock time progression to avoid infinite loop\n            mock_time.side_effect = [0, 0, 0, 31, 1000, 1001, 1002, 1003, 1004, 1005]  # More values for other time.time() calls\n            \n            # Execute command\n            result = terminal_tool.forward(\"ls\", \"integration_test\", 30)\n            \n            result_data = json.loads(result)\n            assert result_data[\"command\"] == \"ls\"\n            assert result_data[\"session_name\"] == \"integration_test\"\n            assert \"timestamp\" in result_data\n    \n    def test_multiple_commands_same_session(self, terminal_tool, mock_ssh_session):\n        \"\"\"Test multiple commands using the same session\"\"\"\n        with patch.object(terminal_tool, '_get_session') as mock_get_session, \\\n             patch('time.sleep'):\n            mock_get_session.return_value = mock_ssh_session\n            with patch.object(terminal_tool, '_execute_command') as mock_execute:\n                mock_execute.return_value = \"output\"\n                \n                # Execute multiple commands\n                result1 = terminal_tool.forward(\"ls\", \"shared_session\", 30)\n                result2 = terminal_tool.forward(\"pwd\", \"shared_session\", 30)\n                \n                # Should reuse the same session\n                assert mock_get_session.call_count == 2\n                assert mock_execute.call_count == 2\n                \n                # Both should succeed\n                data1 = json.loads(result1)\n                data2 = json.loads(result2)\n                assert data1[\"session_name\"] == \"shared_session\"\n                assert data2[\"session_name\"] == \"shared_session\"\n"
  },
  {
    "path": "test/sdk/core/utils/test_observer.py",
    "content": "import json\n\nimport pytest\n\n# Import the modules under test\nfrom sdk.nexent.core.utils.observer import (\n    MessageObserver, Message, ProcessType,\n    DefaultTransformer, StepCountTransformer,\n    ParseTransformer, ExecutionLogsTransformer, FinalAnswerTransformer,\n    TokenCountTransformer, ErrorTransformer\n)\n\n\nclass TestMessage:\n    \"\"\"Test Message class functionality\"\"\"\n\n    def test_message_initialization(self):\n        \"\"\"Test Message class initialization with different process types\"\"\"\n        content = \"Test content\"\n\n        # Test with different process types\n        for process_type in ProcessType:\n            message = Message(process_type, content)\n            assert message.message_type == process_type\n            assert message.content == content\n\n    def test_message_to_json(self):\n        \"\"\"Test Message.to_json() method returns valid JSON string\"\"\"\n        message = Message(ProcessType.MODEL_OUTPUT_THINKING, \"Test content\")\n        json_str = message.to_json()\n\n        # Verify it's valid JSON\n        parsed = json.loads(json_str)\n        assert parsed[\"type\"] == ProcessType.MODEL_OUTPUT_THINKING.value\n        assert parsed[\"content\"] == \"Test content\"\n\n    def test_message_to_json_unicode_content(self):\n        \"\"\"Test Message.to_json() with unicode content\"\"\"\n        unicode_content = \"测试内容 🚀\"\n        message = Message(ProcessType.MODEL_OUTPUT_CODE, unicode_content)\n        json_str = message.to_json()\n\n        parsed = json.loads(json_str)\n        assert parsed[\"content\"] == unicode_content\n\n\nclass TestDefaultTransformer:\n    \"\"\"Test DefaultTransformer class\"\"\"\n\n    def test_default_transformer_transform(self):\n        \"\"\"Test DefaultTransformer.transform() returns content as-is\"\"\"\n        transformer = DefaultTransformer()\n        content = \"Test content\"\n\n        result = transformer.transform(content=content)\n        assert result == content\n\n    def test_default_transformer_transform_empty_content(self):\n        \"\"\"Test DefaultTransformer.transform() with empty content\"\"\"\n        transformer = DefaultTransformer()\n\n        result = transformer.transform(content=\"\")\n        assert result == \"\"\n\n    def test_default_transformer_transform_with_kwargs(self):\n        \"\"\"Test DefaultTransformer.transform() ignores additional kwargs\"\"\"\n        transformer = DefaultTransformer()\n        content = \"Test content\"\n\n        result = transformer.transform(content=content, lang=\"zh\", extra=\"ignored\")\n        assert result == content\n\n\nclass TestStepCountTransformer:\n    \"\"\"Test StepCountTransformer class\"\"\"\n\n    def test_step_count_transformer_zh(self):\n        \"\"\"Test StepCountTransformer with Chinese language\"\"\"\n        transformer = StepCountTransformer()\n        step_number = \"3\"\n\n        result = transformer.transform(content=step_number, lang=\"zh\")\n        expected = \"\\n**步骤 3** \\n\"\n        assert result == expected\n\n    def test_step_count_transformer_en(self):\n        \"\"\"Test StepCountTransformer with English language\"\"\"\n        transformer = StepCountTransformer()\n        step_number = \"5\"\n\n        result = transformer.transform(content=step_number, lang=\"en\")\n        expected = \"\\n**Step 5** \\n\"\n        assert result == expected\n\n    def test_step_count_transformer_default_lang(self):\n        \"\"\"Test StepCountTransformer with default language (should be English)\"\"\"\n        transformer = StepCountTransformer()\n        step_number = \"1\"\n\n        result = transformer.transform(content=step_number)\n        expected = \"\\n**Step 1** \\n\"\n        assert result == expected\n\n    def test_step_count_transformer_unknown_lang(self):\n        \"\"\"Test StepCountTransformer with unknown language (should default to English)\"\"\"\n        transformer = StepCountTransformer()\n        step_number = \"2\"\n\n        result = transformer.transform(content=step_number, lang=\"fr\")\n        expected = \"\\n**Step 2** \\n\"\n        assert result == expected\n\n\nclass TestParseTransformer:\n    \"\"\"Test ParseTransformer class\"\"\"\n\n    def test_parse_transformer_zh(self):\n        \"\"\"Test ParseTransformer with Chinese language\"\"\"\n        transformer = ParseTransformer()\n        code_content = \"print('Hello World')\"\n\n        result = transformer.transform(content=code_content, lang=\"zh\")\n        expected = \"\\n🛠️ 使用Python解释器执行代码\\n```python\\nprint('Hello World')\\n```\\n\"\n        assert result == expected\n\n    def test_parse_transformer_en(self):\n        \"\"\"Test ParseTransformer with English language\"\"\"\n        transformer = ParseTransformer()\n        code_content = \"x = 42\"\n\n        result = transformer.transform(content=code_content, lang=\"en\")\n        expected = \"\\n🛠️ Used tool python_interpreter\\n```python\\nx = 42\\n```\\n\"\n        assert result == expected\n\n    def test_parse_transformer_default_lang(self):\n        \"\"\"Test ParseTransformer with default language\"\"\"\n        transformer = ParseTransformer()\n        code_content = \"def test(): pass\"\n\n        result = transformer.transform(content=code_content)\n        expected = \"\\n🛠️ Used tool python_interpreter\\n```python\\ndef test(): pass\\n```\\n\"\n        assert result == expected\n\n\nclass TestExecutionLogsTransformer:\n    \"\"\"Test ExecutionLogsTransformer class\"\"\"\n\n    def test_execution_logs_transformer_zh(self):\n        \"\"\"Test ExecutionLogsTransformer with Chinese language\"\"\"\n        transformer = ExecutionLogsTransformer()\n        log_content = \"Hello World\\n42\"\n\n        result = transformer.transform(content=log_content, lang=\"zh\")\n        expected = \"\\n📝 执行结果\\n```bash\\nHello World\\n42\\n```\\n\"\n        assert result == expected\n\n    def test_execution_logs_transformer_en(self):\n        \"\"\"Test ExecutionLogsTransformer with English language\"\"\"\n        transformer = ExecutionLogsTransformer()\n        log_content = \"Success\"\n\n        result = transformer.transform(content=log_content, lang=\"en\")\n        expected = \"\\n📝 Execution Logs\\n```bash\\nSuccess\\n```\\n\"\n        assert result == expected\n\n\nclass TestFinalAnswerTransformer:\n    \"\"\"Test FinalAnswerTransformer class\"\"\"\n\n    def test_final_answer_transformer(self):\n        \"\"\"Test FinalAnswerTransformer returns content as-is\"\"\"\n        transformer = FinalAnswerTransformer()\n        content = \"Final answer content\"\n\n        result = transformer.transform(content=content)\n        assert result == content\n\n    def test_final_answer_transformer_empty(self):\n        \"\"\"Test FinalAnswerTransformer with empty content\"\"\"\n        transformer = FinalAnswerTransformer()\n\n        result = transformer.transform(content=\"\")\n        assert result == \"\"\n\n\nclass TestTokenCountTransformer:\n    \"\"\"Test TokenCountTransformer class\"\"\"\n\n    def test_token_count_transformer_zh(self):\n        \"\"\"Test TokenCountTransformer with Chinese language\"\"\"\n        transformer = TokenCountTransformer()\n        duration = \"2.5s\"\n\n        result = transformer.transform(content=duration, lang=\"zh\")\n        expected = \"\"\"<span style=\"color: #bbbbc2; font-size: 12px;\">步骤耗时：2.5s</span> \"\"\"\n        assert result == expected\n\n    def test_token_count_transformer_en(self):\n        \"\"\"Test TokenCountTransformer with English language\"\"\"\n        transformer = TokenCountTransformer()\n        duration = \"1.8s\"\n\n        result = transformer.transform(content=duration, lang=\"en\")\n        expected = \"\"\"<span style=\"color: #bbbbc2; font-size: 12px;\">Duration:1.8s</span> \"\"\"\n        assert result == expected\n\n\nclass TestErrorTransformer:\n    \"\"\"Test ErrorTransformer class\"\"\"\n\n    def test_error_transformer_zh(self):\n        \"\"\"Test ErrorTransformer with Chinese language\"\"\"\n        transformer = ErrorTransformer()\n        error_content = \"Something went wrong\"\n\n        result = transformer.transform(content=error_content, lang=\"zh\")\n        expected = \"\\n💥 运行出错： \\nSomething went wrong\\n\"\n        assert result == expected\n\n    def test_error_transformer_en(self):\n        \"\"\"Test ErrorTransformer with English language\"\"\"\n        transformer = ErrorTransformer()\n        error_content = \"Runtime error\"\n\n        result = transformer.transform(content=error_content, lang=\"en\")\n        expected = \"\\n💥 Error: \\nRuntime error\\n\"\n        assert result == expected\n\n\nclass TestMessageObserver:\n    \"\"\"Test MessageObserver class functionality\"\"\"\n\n    @pytest.fixture\n    def observer(self):\n        \"\"\"Create a MessageObserver instance for testing\"\"\"\n        return MessageObserver(lang=\"en\")\n\n    def test_observer_initialization(self):\n        \"\"\"Test MessageObserver initialization with different languages\"\"\"\n        # Test English\n        observer_en = MessageObserver(lang=\"en\")\n        assert observer_en.lang == \"en\"\n        assert observer_en.current_mode == ProcessType.MODEL_OUTPUT_THINKING\n\n        # Test Chinese\n        observer_zh = MessageObserver(lang=\"zh\")\n        assert observer_zh.lang == \"zh\"\n\n        # Test default\n        observer_default = MessageObserver()\n        assert observer_default.lang == \"zh\"\n\n    def test_observer_constants(self):\n        \"\"\"Test that buffer size constants are properly defined\"\"\"\n        observer = MessageObserver()\n        assert hasattr(MessageObserver, 'MAX_TOKEN_BUFFER_SIZE')\n        assert MessageObserver.MAX_TOKEN_BUFFER_SIZE == 10\n\n    def test_add_message(self):\n        \"\"\"Test add_message method with different process types\"\"\"\n        observer = MessageObserver(lang=\"en\")\n\n        # Test adding a step count message\n        observer.add_message(\"test_agent\", ProcessType.STEP_COUNT, \"3\")\n\n        cached_messages = observer.get_cached_message()\n        assert len(cached_messages) == 1\n\n        message_data = json.loads(cached_messages[0])\n        assert message_data[\"type\"] == ProcessType.STEP_COUNT.value\n        assert \"Step 3\" in message_data[\"content\"]\n\n    def test_add_model_reasoning_content(self):\n        \"\"\"Test add_model_reasoning_content method\"\"\"\n        observer = MessageObserver()\n        reasoning_content = \"This is reasoning content\"\n\n        observer.add_model_reasoning_content(reasoning_content)\n\n        cached_messages = observer.get_cached_message()\n        assert len(cached_messages) == 1\n\n        message_data = json.loads(cached_messages[0])\n        assert message_data[\"type\"] == ProcessType.MODEL_OUTPUT_DEEP_THINKING.value\n        assert message_data[\"content\"] == reasoning_content\n\n    def test_add_model_reasoning_content_empty(self):\n        \"\"\"Test add_model_reasoning_content with empty content\"\"\"\n        observer = MessageObserver()\n\n        observer.add_model_reasoning_content(\"\")\n        observer.add_model_reasoning_content(None)\n\n        cached_messages = observer.get_cached_message()\n        assert len(cached_messages) == 0\n\n    def test_get_cached_message(self):\n        \"\"\"Test get_cached_message method clears the queue after returning\"\"\"\n        observer = MessageObserver()\n\n        # Add some messages\n        observer.add_message(\"agent1\", ProcessType.STEP_COUNT, \"1\")\n        observer.add_message(\"agent2\", ProcessType.FINAL_ANSWER, \"Done\")\n\n        # Get cached messages\n        cached_messages = observer.get_cached_message()\n        assert len(cached_messages) == 2\n\n        # Check that queue is cleared\n        cached_messages_again = observer.get_cached_message()\n        assert len(cached_messages_again) == 0\n\n    def test_get_final_answer(self):\n        \"\"\"Test get_final_answer method\"\"\"\n        observer = MessageObserver()\n\n        # Add messages including a final answer\n        observer.add_message(\"agent1\", ProcessType.STEP_COUNT, \"1\")\n        observer.add_message(\"agent2\", ProcessType.FINAL_ANSWER, \"Task completed\")\n        observer.add_message(\"agent3\", ProcessType.STEP_COUNT, \"2\")\n\n        final_answer = observer.get_final_answer()\n        assert final_answer == \"Task completed\"\n\n    def test_get_final_answer_no_final_answer(self):\n        \"\"\"Test get_final_answer when no final answer exists\"\"\"\n        observer = MessageObserver()\n\n        # Add messages without final answer\n        observer.add_message(\"agent1\", ProcessType.STEP_COUNT, \"1\")\n        observer.add_message(\"agent2\", ProcessType.STEP_COUNT, \"2\")\n\n        final_answer = observer.get_final_answer()\n        assert final_answer is None\n\n    def test_get_final_answer_invalid_json(self):\n        \"\"\"Test get_final_answer with invalid JSON in message queue\"\"\"\n        observer = MessageObserver()\n\n        # Manually add invalid JSON to message queue\n        observer.message_query.append(\"invalid json string\")\n        observer.message_query.append(\n            Message(ProcessType.FINAL_ANSWER, \"Valid answer\").to_json()\n        )\n\n        final_answer = observer.get_final_answer()\n        assert final_answer == \"Valid answer\"\n\n\nclass TestMessageObserverTokenProcessing:\n    \"\"\"Test MessageObserver token processing functionality\"\"\"\n\n    @pytest.fixture\n    def observer(self):\n        \"\"\"Create a MessageObserver instance for testing\"\"\"\n        return MessageObserver(lang=\"en\")\n\n    def test_add_model_new_token_normal_mode(self):\n        \"\"\"Test add_model_new_token in normal mode (not thinking)\"\"\"\n        observer = MessageObserver()\n\n        # Add tokens normally\n        observer.add_model_new_token(\"Hello\")\n        observer.add_model_new_token(\" \")\n        observer.add_model_new_token(\"World\")\n\n        # Check that tokens are accumulated in think buffer\n        assert len(observer.think_buffer) == 3\n\n        # Flush to see the result\n        observer.flush_remaining_tokens()\n        cached_messages = observer.get_cached_message()\n\n        # Should have one message with accumulated content\n        assert len(cached_messages) == 1\n        message_data = json.loads(cached_messages[0])\n        assert message_data[\"type\"] == ProcessType.MODEL_OUTPUT_THINKING.value\n        assert message_data[\"content\"] == \"Hello World\"\n\n    def test_add_model_new_token_think_mode(self):\n        \"\"\"Test add_model_new_token with think tags\"\"\"\n        observer = MessageObserver()\n\n        # Add tokens with think tags\n        observer.add_model_new_token(\"<\")\n        observer.add_model_new_token(\"think\")\n        observer.add_model_new_token(\">\")\n        observer.add_model_new_token(\"Reasoning\")\n        observer.add_model_new_token(\"</\")\n        observer.add_model_new_token(\"think\")\n        observer.add_model_new_token(\">\")\n        observer.add_model_new_token(\"Result\")\n\n        # Flush to see the result\n        observer.flush_remaining_tokens()\n        cached_messages = observer.get_cached_message()\n\n        # Should have two messages: one for thinking, one for result\n        assert len(cached_messages) == 2\n\n        # First message should be deep thinking\n        first_message = json.loads(cached_messages[0])\n        assert first_message[\"type\"] == ProcessType.MODEL_OUTPUT_DEEP_THINKING.value\n        assert first_message[\"content\"] == \"Reasoning\"\n\n        # Second message should be normal content\n        second_message = json.loads(cached_messages[1])\n        assert second_message[\"type\"] == ProcessType.MODEL_OUTPUT_THINKING.value\n        assert second_message[\"content\"] == \"Result\"\n\n    def test_add_model_new_token_buffer_overflow(self):\n        \"\"\"Test add_model_new_token with buffer overflow handling\"\"\"\n        observer = MessageObserver()\n\n        # Add more tokens than MAX_TOKEN_BUFFER_SIZE to trigger overflow\n        for i in range(25):  # Need more tokens to fill both think_buffer and token_buffer\n            observer.add_model_new_token(f\"token{i}\")\n\n        # Should trigger buffer overflow handling\n        cached_messages = observer.get_cached_message()\n        assert len(cached_messages) > 0\n\n        # Check that buffers were managed\n        assert len(observer.think_buffer) <= observer.MAX_TOKEN_BUFFER_SIZE\n        assert len(observer.token_buffer) <= observer.MAX_TOKEN_BUFFER_SIZE\n\n    def test_process_normal_content_code_detection(self):\n        \"\"\"Test _process_normal_content with code block detection\"\"\"\n        observer = MessageObserver()\n\n        # Add content that should trigger code mode\n        observer.add_model_new_token(\"Let me write some code\")\n        observer.add_model_new_token(\"代码:\")\n        observer.add_model_new_token(\"```\")\n        observer.add_model_new_token(\"print('Hello')\")\n        observer.add_model_new_token(\"```\")\n\n        # Flush to process\n        observer.flush_remaining_tokens()\n        cached_messages = observer.get_cached_message()\n\n        # Should have messages for thinking and code\n        assert len(cached_messages) >= 2\n\n        # Check that mode switched to code\n        assert observer.current_mode == ProcessType.MODEL_OUTPUT_CODE\n\n    def test_flush_remaining_tokens(self):\n        \"\"\"Test flush_remaining_tokens method\"\"\"\n        observer = MessageObserver()\n\n        # Add some tokens\n        observer.add_model_new_token(\"Some\")\n        observer.add_model_new_token(\" content\")\n\n        # Flush remaining tokens\n        observer.flush_remaining_tokens()\n\n        # Check that buffers are cleared\n        assert len(observer.think_buffer) == 0\n        assert len(observer.token_buffer) == 0\n\n        # Check that messages were processed\n        cached_messages = observer.get_cached_message()\n        assert len(cached_messages) > 0\n\n\nclass TestMessageObserverEdgeCases:\n    \"\"\"Test MessageObserver edge cases and error handling\"\"\"\n\n    @pytest.fixture\n    def observer(self):\n        \"\"\"Create a MessageObserver instance for testing\"\"\"\n        return MessageObserver(lang=\"en\")\n\n    def test_observer_with_empty_tokens(self):\n        \"\"\"Test observer behavior with empty tokens\"\"\"\n        observer = MessageObserver()\n\n        observer.add_model_new_token(\"\")\n        observer.add_model_new_token(\"\")\n\n        # Should handle empty tokens gracefully\n        observer.flush_remaining_tokens()\n        cached_messages = observer.get_cached_message()\n\n        # Should not crash and should handle gracefully\n        assert isinstance(cached_messages, list)\n\n    def test_observer_with_very_long_tokens(self):\n        \"\"\"Test observer behavior with very long tokens\"\"\"\n        observer = MessageObserver()\n\n        # Add very long token\n        long_token = \"x\" * 1000\n        observer.add_model_new_token(long_token)\n\n        # Should handle long tokens without issues\n        observer.flush_remaining_tokens()\n        cached_messages = observer.get_cached_message()\n\n        assert len(cached_messages) > 0\n        message_data = json.loads(cached_messages[0])\n        assert len(message_data[\"content\"]) == 1000\n\n    def test_observer_mode_transitions(self):\n        \"\"\"Test observer mode transitions between thinking and code modes\"\"\"\n        observer = MessageObserver()\n\n        # Start in thinking mode\n        assert observer.current_mode == ProcessType.MODEL_OUTPUT_THINKING\n\n        # Add code content\n        observer.add_model_new_token(\"代码:\")\n        observer.add_model_new_token(\"```\")\n        observer.add_model_new_token(\"print('test')\")\n        observer.add_model_new_token(\"```\")\n\n        # Flush to process mode change\n        observer.flush_remaining_tokens()\n\n        # Should now be in code mode\n        assert observer.current_mode == ProcessType.MODEL_OUTPUT_CODE\n\n        # Add more content\n        observer.add_model_new_token(\"More code\")\n        observer.flush_remaining_tokens()\n\n        # Should still be in code mode\n        assert observer.current_mode == ProcessType.MODEL_OUTPUT_CODE\n\n\nif __name__ == \"__main__\":\n    pytest.main([__file__])\n"
  },
  {
    "path": "test/sdk/core/utils/test_prompt_template_utils.py",
    "content": "\"\"\"\nComprehensive unit tests for prompt_template_utils module in SDK.\n\nTests cover:\n- get_prompt_template function with different template types\n- Language support (zh, en)\n- Error handling (unsupported template type, file not found)\n- Path construction and file reading\n- YAML parsing\n\"\"\"\n\nimport pytest\nimport yaml\nimport os\nfrom unittest.mock import patch, mock_open, MagicMock\n\n# Import target module\nfrom sdk.nexent.core.utils.prompt_template_utils import get_prompt_template\n\n\nclass TestGetPromptTemplate:\n    \"\"\"Test cases for get_prompt_template function\"\"\"\n\n    @patch('builtins.open', new_callable=mock_open, read_data='system_prompt: \"Test prompt\"\\nuser_prompt: \"User prompt\"')\n    @patch('yaml.safe_load')\n    def test_get_prompt_template_analyze_image_zh(self, mock_yaml_load, mock_file):\n        \"\"\"Test get_prompt_template for analyze_image template in Chinese\"\"\"\n        mock_yaml_load.return_value = {\"system_prompt\": \"Test prompt\", \"user_prompt\": \"User prompt\"}\n\n        result = get_prompt_template(template_type='analyze_image', language='zh')\n\n        # Verify file was opened with correct path\n        call_args = mock_file.call_args[0]\n        assert 'prompts/analyze_image_zh.yaml' in call_args[0].replace('\\\\', '/')\n        assert call_args[1] == 'r'\n        assert mock_file.call_args[1]['encoding'] == 'utf-8'\n\n        # Verify YAML was loaded\n        mock_yaml_load.assert_called_once()\n\n        # Verify result\n        assert result == {\"system_prompt\": \"Test prompt\", \"user_prompt\": \"User prompt\"}\n\n    @patch('builtins.open', new_callable=mock_open, read_data='system_prompt: \"Test prompt\"\\nuser_prompt: \"User prompt\"')\n    @patch('yaml.safe_load')\n    def test_get_prompt_template_analyze_image_en(self, mock_yaml_load, mock_file):\n        \"\"\"Test get_prompt_template for analyze_image template in English\"\"\"\n        mock_yaml_load.return_value = {\"system_prompt\": \"Test prompt\", \"user_prompt\": \"User prompt\"}\n\n        result = get_prompt_template(template_type='analyze_image', language='en')\n\n        # Verify file was opened with correct path\n        call_args = mock_file.call_args[0]\n        assert 'prompts/analyze_image_en.yaml' in call_args[0].replace('\\\\', '/')\n        assert call_args[1] == 'r'\n        assert mock_file.call_args[1]['encoding'] == 'utf-8'\n\n        # Verify YAML was loaded\n        mock_yaml_load.assert_called_once()\n\n        # Verify result\n        assert result == {\"system_prompt\": \"Test prompt\", \"user_prompt\": \"User prompt\"}\n\n    @patch('builtins.open', new_callable=mock_open, read_data='system_prompt: \"Test prompt\"')\n    @patch('yaml.safe_load')\n    @patch('sdk.nexent.core.utils.prompt_template_utils.LANGUAGE', {'ZH': 'zh', 'EN': 'en'})\n    def test_get_prompt_template_default_language_zh(self, mock_yaml_load, mock_file):\n        \"\"\"Test get_prompt_template with default language (should be Chinese)\"\"\"\n        mock_yaml_load.return_value = {\"system_prompt\": \"Test prompt\"}\n\n        # Test with default (should use LANGUAGE[\"ZH\"] which is 'zh')\n        result = get_prompt_template(template_type='analyze_image')\n\n        # Verify file path contains Chinese template\n        call_args = mock_file.call_args[0]\n        assert 'prompts/analyze_image_zh.yaml' in call_args[0].replace('\\\\', '/')\n\n        mock_yaml_load.assert_called_once()\n        assert result == {\"system_prompt\": \"Test prompt\"}\n\n    def test_get_prompt_template_unsupported_type(self):\n        \"\"\"Test get_prompt_template with unsupported template type\"\"\"\n        with pytest.raises(ValueError) as excinfo:\n            get_prompt_template(template_type='unsupported_type', language='zh')\n\n        assert \"Unsupported template type\" in str(excinfo.value)\n        assert \"unsupported_type\" in str(excinfo.value)\n\n    @patch('builtins.open', new_callable=mock_open, read_data='system_prompt: \"Test prompt\"')\n    @patch('yaml.safe_load')\n    def test_get_prompt_template_with_kwargs(self, mock_yaml_load, mock_file):\n        \"\"\"Test get_prompt_template with additional kwargs (should be logged but not used)\"\"\"\n        mock_yaml_load.return_value = {\"system_prompt\": \"Test prompt\"}\n\n        with patch('sdk.nexent.core.utils.prompt_template_utils.logger') as mock_logger:\n            result = get_prompt_template(template_type='analyze_image', language='en', extra_param='value')\n\n            # Verify kwargs were logged\n            log_calls = [str(call) for call in mock_logger.info.call_args_list]\n            assert any(\"extra_param\" in str(call) or \"kwargs\" in str(call) for call in log_calls)\n\n            # Verify function still works\n            assert result == {\"system_prompt\": \"Test prompt\"}\n\n    @patch('builtins.open', side_effect=FileNotFoundError(\"File not found\"))\n    def test_get_prompt_template_file_not_found(self, mock_file):\n        \"\"\"Test get_prompt_template when template file is not found\"\"\"\n        with pytest.raises(FileNotFoundError) as excinfo:\n            get_prompt_template(template_type='analyze_image', language='zh')\n\n        assert \"File not found\" in str(excinfo.value)\n\n    @patch('builtins.open', new_callable=mock_open, read_data='invalid: yaml: content: [')\n    @patch('yaml.safe_load', side_effect=yaml.YAMLError(\"YAML parse error\"))\n    def test_get_prompt_template_yaml_error(self, mock_yaml_load, mock_file):\n        \"\"\"Test get_prompt_template when YAML parsing fails\"\"\"\n        with pytest.raises(yaml.YAMLError) as excinfo:\n            get_prompt_template(template_type='analyze_image', language='zh')\n\n        assert \"YAML parse error\" in str(excinfo.value)\n\n    @patch('builtins.open', new_callable=mock_open, read_data='system_prompt: \"Test prompt\"')\n    @patch('yaml.safe_load')\n    @patch('sdk.nexent.core.utils.prompt_template_utils.logger')\n    def test_get_prompt_template_logging(self, mock_logger, mock_yaml_load, mock_file):\n        \"\"\"Test that get_prompt_template logs correctly\"\"\"\n        mock_yaml_load.return_value = {\"system_prompt\": \"Test prompt\"}\n\n        get_prompt_template(template_type='analyze_image', language='en')\n\n        # Verify logger was called\n        mock_logger.info.assert_called_once()\n        log_call = str(mock_logger.info.call_args)\n        assert \"analyze_image\" in log_call\n        assert \"en\" in log_call\n\n    @patch('builtins.open', new_callable=mock_open, read_data='system_prompt: \"Test prompt\"')\n    @patch('yaml.safe_load')\n    def test_get_prompt_template_path_construction(self, mock_yaml_load, mock_file):\n        \"\"\"Test that path is constructed correctly\"\"\"\n        mock_yaml_load.return_value = {\"system_prompt\": \"Test prompt\"}\n\n        get_prompt_template(template_type='analyze_image', language='en')\n\n        # Verify path construction\n        call_args = mock_file.call_args[0]\n        file_path = call_args[0]\n\n        # Path should be absolute\n        assert os.path.isabs(file_path) or file_path.startswith('/')\n\n        # Path should contain the expected template file\n        assert 'analyze_image_en.yaml' in file_path\n\n    @patch('builtins.open', new_callable=mock_open, read_data='system_prompt: \"Test prompt\"\\nuser_prompt: \"User prompt\"\\nother_field: \"Other\"')\n    @patch('yaml.safe_load')\n    def test_get_prompt_template_complex_yaml(self, mock_yaml_load, mock_file):\n        \"\"\"Test get_prompt_template with complex YAML structure\"\"\"\n        complex_yaml = {\n            \"system_prompt\": \"Test prompt\",\n            \"user_prompt\": \"User prompt\",\n            \"other_field\": \"Other\",\n            \"nested\": {\n                \"field\": \"value\"\n            }\n        }\n        mock_yaml_load.return_value = complex_yaml\n\n        result = get_prompt_template(template_type='analyze_image', language='en')\n\n        assert result == complex_yaml\n        assert \"nested\" in result\n        assert result[\"nested\"][\"field\"] == \"value\"\n\n    @patch('builtins.open', new_callable=mock_open, read_data='')\n    @patch('yaml.safe_load', return_value=None)\n    def test_get_prompt_template_empty_file(self, mock_yaml_load, mock_file):\n        \"\"\"Test get_prompt_template with empty YAML file\"\"\"\n        result = get_prompt_template(template_type='analyze_image', language='zh')\n\n        assert result is None\n        mock_yaml_load.assert_called_once()\n\n    @patch('builtins.open', new_callable=mock_open, read_data='system_prompt: \"Test prompt\"')\n    @patch('yaml.safe_load')\n    def test_get_prompt_template_encoding_utf8(self, mock_yaml_load, mock_file):\n        \"\"\"Test that file is opened with UTF-8 encoding\"\"\"\n        mock_yaml_load.return_value = {\"system_prompt\": \"Test prompt\"}\n\n        get_prompt_template(template_type='analyze_image', language='zh')\n\n        # Verify encoding parameter\n        call_kwargs = mock_file.call_args[1]\n        assert call_kwargs['encoding'] == 'utf-8'\n\n    @patch('builtins.open', new_callable=mock_open, read_data='system_prompt: \"Test prompt\"')\n    @patch('yaml.safe_load')\n    def test_get_prompt_template_path_resolution(self, mock_yaml_load, mock_file):\n        \"\"\"Test that path resolution works correctly\"\"\"\n        mock_yaml_load.return_value = {\"system_prompt\": \"Test prompt\"}\n\n        get_prompt_template(template_type='analyze_image', language='en')\n\n        # Verify file was opened (path resolution happened)\n        assert mock_file.called\n        call_args = mock_file.call_args[0]\n        # Path should be absolute or contain the expected template file\n        assert 'analyze_image_en.yaml' in call_args[0]"
  },
  {
    "path": "test/sdk/data_process/__init__.py",
    "content": ""
  },
  {
    "path": "test/sdk/data_process/test_core.py",
    "content": "import pytest\nfrom pytest_mock import MockFixture\nfrom unittest.mock import Mock, MagicMock\n\nfrom sdk.nexent.data_process.core import DataProcessCore\n\n\nclass TestDataProcessCore:\n    \"\"\"Test suite for DataProcessCore class\"\"\"\n\n    @pytest.fixture\n    def core(self):\n        \"\"\"Create a DataProcessCore instance for testing\"\"\"\n        return DataProcessCore()\n\n    def test_init(self, core):\n        \"\"\"Test DataProcessCore initialization\"\"\"\n        assert core is not None\n        assert \"Unstructured\" in core.processors\n        assert \"OpenPyxl\" in core.processors\n        assert len(core.processors) == 2\n\n    def test_file_process_with_excel_file(self, core, mocker: MockFixture):\n        \"\"\"Test file processing with Excel file\"\"\"\n        # Mock OpenPyxl processor\n        mock_processor = Mock()\n        mock_processor.process_file.return_value = [\n            {\"content\": \"test content\", \"filename\": \"test.xlsx\",\n                \"metadata\": {\"chunk_index\": 0}}\n        ]\n        core.processors[\"OpenPyxl\"] = mock_processor\n\n        file_data = b\"fake excel data\"\n        filename = \"test.xlsx\"\n\n        result = core.file_process(\n            file_data, filename, chunking_strategy=\"basic\")\n\n        assert len(result) == 1\n        assert result[0][\"content\"] == \"test content\"\n        mock_processor.process_file.assert_called_once_with(\n            file_data, \"basic\", filename=filename\n        )\n\n    def test_file_process_with_pdf_file(self, core, mocker: MockFixture):\n        \"\"\"Test file processing with PDF file\"\"\"\n        # Mock Unstructured processor\n        mock_processor = Mock()\n        mock_processor.process_file.return_value = [\n            {\"content\": \"pdf content\", \"filename\": \"test.pdf\"}\n        ]\n        core.processors[\"Unstructured\"] = mock_processor\n\n        file_data = b\"fake pdf data\"\n        filename = \"test.pdf\"\n\n        result = core.file_process(\n            file_data, filename, chunking_strategy=\"by_title\")\n\n        assert len(result) == 1\n        assert result[0][\"content\"] == \"pdf content\"\n        mock_processor.process_file.assert_called_once_with(\n            file_data, \"by_title\", filename=filename\n        )\n\n    def test_file_process_with_explicit_processor(self, core, mocker: MockFixture):\n        \"\"\"Test file processing with explicitly specified processor\"\"\"\n        mock_processor = Mock()\n        mock_processor.process_file.return_value = [{\"content\": \"test\"}]\n        core.processors[\"Unstructured\"] = mock_processor\n\n        file_data = b\"data\"\n        filename = \"test.xlsx\"\n\n        # Explicitly use Unstructured processor for Excel file\n        result = core.file_process(\n            file_data, filename, chunking_strategy=\"basic\", processor=\"Unstructured\"\n        )\n\n        assert len(result) == 1\n        mock_processor.process_file.assert_called_once()\n\n    def test_file_process_with_additional_params(self, core, mocker: MockFixture):\n        \"\"\"Test file processing with additional parameters\"\"\"\n        mock_processor = Mock()\n        mock_processor.process_file.return_value = [{\"content\": \"test\"}]\n        core.processors[\"Unstructured\"] = mock_processor\n\n        file_data = b\"data\"\n        filename = \"test.pdf\"\n        additional_params = {\"max_characters\": 2000, \"strategy\": \"fast\"}\n\n        result = core.file_process(\n            file_data, filename, chunking_strategy=\"basic\", **additional_params\n        )\n\n        assert len(result) == 1\n        mock_processor.process_file.assert_called_once_with(\n            file_data, \"basic\", filename=filename, max_characters=2000, strategy=\"fast\"\n        )\n\n    def test_file_process_invalid_chunking_strategy(self, core):\n        \"\"\"Test file processing with invalid chunking strategy\"\"\"\n        file_data = b\"data\"\n        filename = \"test.pdf\"\n\n        with pytest.raises(ValueError, match=\"Unsupported chunking strategy\"):\n            core.file_process(file_data, filename, chunking_strategy=\"invalid\")\n\n    def test_file_process_invalid_processor(self, core):\n        \"\"\"Test file processing with invalid processor\"\"\"\n        file_data = b\"data\"\n        filename = \"test.pdf\"\n\n        with pytest.raises(ValueError, match=\"Unsupported processor type\"):\n            core.file_process(\n                file_data, filename, chunking_strategy=\"basic\", processor=\"InvalidProcessor\"\n            )\n\n    def test_file_process_unsupported_processor_type(self, core):\n        \"\"\"Test file processing when processor is not in processors dict\"\"\"\n        file_data = b\"data\"\n        filename = \"test.pdf\"\n\n        # Remove Unstructured processor\n        core.processors.pop(\"Unstructured\", None)\n\n        with pytest.raises(ValueError, match=\"Unsupported processor\"):\n            core.file_process(file_data, filename, chunking_strategy=\"basic\")\n\n    def test_file_process_processing_error(self, core, mocker: MockFixture):\n        \"\"\"Test file processing when processor raises an exception\"\"\"\n        mock_processor = Mock()\n        mock_processor.process_file.side_effect = Exception(\n            \"Processing failed\")\n        core.processors[\"Unstructured\"] = mock_processor\n\n        file_data = b\"data\"\n        filename = \"test.pdf\"\n\n        with pytest.raises(Exception, match=\"Processing failed\"):\n            core.file_process(file_data, filename, chunking_strategy=\"basic\")\n\n    @pytest.mark.parametrize(\n        \"chunking_strategy\",\n        [\"basic\", \"by_title\", \"none\"]\n    )\n    def test_validate_parameters_valid_strategies(self, core, chunking_strategy):\n        \"\"\"Test parameter validation with valid chunking strategies\"\"\"\n        # Should not raise exception\n        core._validate_parameters(chunking_strategy, None)\n\n    @pytest.mark.parametrize(\n        \"processor\",\n        [\"Unstructured\", \"OpenPyxl\"]\n    )\n    def test_validate_parameters_valid_processors(self, core, processor):\n        \"\"\"Test parameter validation with valid processors\"\"\"\n        # Should not raise exception\n        core._validate_parameters(\"basic\", processor)\n\n    def test_validate_parameters_invalid_strategy(self, core):\n        \"\"\"Test parameter validation with invalid chunking strategy\"\"\"\n        with pytest.raises(ValueError, match=\"Unsupported chunking strategy\"):\n            core._validate_parameters(\"invalid_strategy\", None)\n\n    def test_validate_parameters_invalid_processor(self, core):\n        \"\"\"Test parameter validation with invalid processor\"\"\"\n        with pytest.raises(ValueError, match=\"Unsupported processor type\"):\n            core._validate_parameters(\"basic\", \"InvalidProcessor\")\n\n    @pytest.mark.parametrize(\n        \"filename,expected_processor\",\n        [\n            (\"test.xlsx\", \"OpenPyxl\"),\n            (\"test.xls\", \"OpenPyxl\"),\n            (\"test.XLSX\", \"OpenPyxl\"),\n            (\"test.pdf\", \"Unstructured\"),\n            (\"test.docx\", \"Unstructured\"),\n            (\"test.txt\", \"Unstructured\"),\n            (\"test.html\", \"Unstructured\"),\n        ]\n    )\n    def test_select_processor_by_filename(self, core, filename, expected_processor):\n        \"\"\"Test processor selection based on filename\"\"\"\n        result = core._select_processor_by_filename(filename)\n        assert result == expected_processor\n\n    def test_get_supported_file_types(self, core):\n        \"\"\"Test getting supported file types\"\"\"\n        result = core.get_supported_file_types()\n\n        assert \"excel\" in result\n        assert \"generic\" in result\n        assert \".xlsx\" in result[\"excel\"]\n        assert \".xls\" in result[\"excel\"]\n        assert len(result[\"generic\"]) > 0\n\n    def test_get_supported_file_types_with_unstructured_formats(self, core, mocker: MockFixture):\n        \"\"\"Test getting supported file types when UnstructuredProcessor has get_supported_formats\"\"\"\n        mock_processor = MagicMock()\n        mock_processor.get_supported_formats.return_value = [\n            \".pdf\", \".docx\", \".txt\"]\n\n        # Need to make isinstance check pass\n        mocker.patch(\n            \"sdk.nexent.data_process.core.isinstance\",\n            return_value=True\n        )\n        core.processors[\"Unstructured\"] = mock_processor\n\n        result = core.get_supported_file_types()\n\n        assert result[\"generic\"] == [\".pdf\", \".docx\", \".txt\"]\n\n    def test_get_supported_file_types_without_unstructured_method(self, core):\n        \"\"\"Test getting supported file types when UnstructuredProcessor lacks get_supported_formats\"\"\"\n        # Replace with a mock that doesn't have get_supported_formats\n        core.processors[\"Unstructured\"] = Mock(spec=[])\n\n        result = core.get_supported_file_types()\n\n        # Should return default formats\n        assert \".txt\" in result[\"generic\"]\n        assert \".pdf\" in result[\"generic\"]\n        assert \".docx\" in result[\"generic\"]\n\n    def test_get_supported_strategies(self, core):\n        \"\"\"Test getting supported chunking strategies\"\"\"\n        result = core.get_supported_strategies()\n\n        assert \"basic\" in result\n        assert \"by_title\" in result\n        assert \"none\" in result\n        assert len(result) == 3\n\n    def test_get_supported_processors(self, core):\n        \"\"\"Test getting supported processor types\"\"\"\n        result = core.get_supported_processors()\n\n        assert \"Unstructured\" in result\n        assert \"OpenPyxl\" in result\n        assert len(result) == 2\n\n    @pytest.mark.parametrize(\n        \"filename,expected\",\n        [\n            (\"test.xlsx\", True),\n            (\"test.xls\", True),\n            (\"test.pdf\", True),\n            (\"test.docx\", True),\n            (\"test.txt\", True),\n            (\"test.unknown\", False),\n            (\"test.exe\", False),\n            (\"\", False),\n        ]\n    )\n    def test_validate_file_type(self, core, filename, expected):\n        \"\"\"Test file type validation\"\"\"\n        result = core.validate_file_type(filename)\n        assert result == expected\n\n    def test_validate_file_type_empty_filename(self, core):\n        \"\"\"Test file type validation with empty filename\"\"\"\n        result = core.validate_file_type(\"\")\n        assert result is False\n\n    def test_validate_file_type_none_filename(self, core):\n        \"\"\"Test file type validation with None filename\"\"\"\n        result = core.validate_file_type(None)\n        assert result is False\n\n    @pytest.mark.parametrize(\n        \"filename,expected_type,expected_ext\",\n        [\n            (\"test.xlsx\", \"excel\", \".xlsx\"),\n            (\"test.xls\", \"excel\", \".xls\"),\n            (\"test.pdf\", \"generic\", \".pdf\"),\n            (\"test.docx\", \"generic\", \".docx\"),\n            (\"test.txt\", \"generic\", \".txt\"),\n        ]\n    )\n    def test_get_processor_info(self, core, filename, expected_type, expected_ext):\n        \"\"\"Test getting processor information\"\"\"\n        result = core.get_processor_info(filename)\n\n        assert result[\"processor_type\"] == expected_type\n        assert result[\"file_extension\"] == expected_ext\n        assert \"is_supported\" in result\n\n    def test_get_processor_info_empty_filename(self, core):\n        \"\"\"Test getting processor information with empty filename\"\"\"\n        result = core.get_processor_info(\"\")\n\n        assert result[\"processor_type\"] == \"generic\"\n        assert result[\"file_extension\"] == \"\"\n        assert result[\"is_supported\"] == \"False\"\n\n    def test_get_processor_info_none_filename(self, core):\n        \"\"\"Test getting processor information with None filename\"\"\"\n        result = core.get_processor_info(None)\n\n        assert result[\"processor_type\"] == \"generic\"\n        assert result[\"file_extension\"] == \"\"\n        assert result[\"is_supported\"] == \"False\"\n\n    def test_get_processor_info_case_insensitive(self, core):\n        \"\"\"Test getting processor information with uppercase extension\"\"\"\n        result = core.get_processor_info(\"TEST.XLSX\")\n\n        assert result[\"processor_type\"] == \"excel\"\n        assert result[\"file_extension\"] == \".xlsx\"\n"
  },
  {
    "path": "test/sdk/data_process/test_openpyxl_processor.py",
    "content": "import io\nimport pytest\nfrom pytest_mock import MockFixture\nfrom unittest.mock import Mock, MagicMock, patch\nfrom copy import deepcopy\n\nfrom sdk.nexent.data_process.openpyxl_processor import OpenPyxlProcessor\n\n\nclass TestOpenPyxlProcessor:\n    \"\"\"Test suite for OpenPyxlProcessor class\"\"\"\n\n    @pytest.fixture\n    def processor(self):\n        \"\"\"Create an OpenPyxlProcessor instance for testing\"\"\"\n        return OpenPyxlProcessor()\n\n    @pytest.fixture\n    def mock_workbook(self):\n        \"\"\"Create a mock workbook for testing\"\"\"\n        wb = Mock()\n        wb.sheetnames = [\"Sheet1\"]\n\n        # Mock sheet\n        sheet = Mock()\n        sheet.iter_rows = Mock(return_value=[\n            (\"Header1\", \"Header2\"),\n            (\"Value1\", \"Value2\"),\n        ])\n        sheet.merged_cells = Mock()\n        sheet.merged_cells.ranges = []\n\n        wb.__getitem__ = Mock(return_value=sheet)\n\n        return wb\n\n    def test_process_file(self, processor, mocker: MockFixture):\n        \"\"\"Test process_file method\"\"\"\n        mock_process_excel = mocker.patch.object(\n            processor, \"_process_excel\", return_value=[{\"content\": \"test\"}]\n        )\n\n        file_data = b\"fake excel data\"\n        filename = \"test.xlsx\"\n\n        result = processor.process_file(file_data, \"basic\", filename)\n\n        assert len(result) == 1\n        assert result[0][\"content\"] == \"test\"\n        mock_process_excel.assert_called_once_with(\n            file_data=file_data, chunking_strategy=\"basic\", filename=filename\n        )\n\n    def test_process_excel_success(self, processor, mocker: MockFixture):\n        \"\"\"Test successful Excel processing\"\"\"\n        # Mock workbooks\n        mock_wb_orig = Mock()\n        mock_wb_copy = Mock()\n\n        mocker.patch.object(\n            processor, \"_load_workbook\", return_value=(mock_wb_orig, mock_wb_copy)\n        )\n        mocker.patch.object(\n            processor, \"_extract_content\", return_value=[\"content1\", \"content2\"]\n        )\n        mocker.patch.object(\n            processor, \"_convert_to_chunks\", return_value=[\n                {\"content\": \"content1\", \"filename\": \"test.xlsx\"},\n                {\"content\": \"content2\", \"filename\": \"test.xlsx\"},\n            ]\n        )\n\n        result = processor._process_excel(b\"data\", \"basic\", \"test.xlsx\")\n\n        assert len(result) == 2\n        assert result[0][\"content\"] == \"content1\"\n\n    def test_load_workbook_success(self, processor, mocker: MockFixture):\n        \"\"\"Test successful workbook loading\"\"\"\n        mock_wb = Mock()\n        mock_load_workbook = mocker.patch(\n            \"sdk.nexent.data_process.openpyxl_processor.openpyxl.load_workbook\",\n            return_value=mock_wb\n        )\n        mocker.patch(\n            \"sdk.nexent.data_process.openpyxl_processor.deepcopy\",\n            return_value=Mock()\n        )\n\n        wb_orig, wb_copy = processor._load_workbook(b\"fake data\")\n\n        assert wb_orig is not None\n        assert wb_copy is not None\n        mock_load_workbook.assert_called_once()\n\n    def test_load_workbook_failure(self, processor, mocker: MockFixture):\n        \"\"\"Test workbook loading failure\"\"\"\n        mocker.patch(\n            \"sdk.nexent.data_process.openpyxl_processor.openpyxl.load_workbook\",\n            side_effect=Exception(\"Load failed\")\n        )\n\n        with pytest.raises(Exception, match=\"Failed to load Excel file\"):\n            processor._load_workbook(b\"invalid data\")\n\n    def test_extract_content_single_column(self, processor, mocker: MockFixture):\n        \"\"\"Test content extraction for single column sheet\"\"\"\n        mock_wb_orig = Mock()\n        mock_wb_copy = Mock()\n\n        mock_wb_orig.sheetnames = [\"Sheet1\"]\n        sheet_orig = Mock()\n        sheet_copy = Mock()\n        mock_wb_orig.__getitem__ = Mock(return_value=sheet_orig)\n        mock_wb_copy.__getitem__ = Mock(return_value=sheet_copy)\n\n        mocker.patch.object(processor, \"_is_single_column\", return_value=True)\n        mocker.patch.object(\n            processor, \"_process_single_column\", return_value=[\"single column content\"]\n        )\n\n        result = processor._extract_content(mock_wb_orig, mock_wb_copy)\n\n        assert len(result) == 1\n        assert result[0] == \"single column content\"\n\n    def test_extract_content_multi_column(self, processor, mocker: MockFixture):\n        \"\"\"Test content extraction for multi-column sheet\"\"\"\n        mock_wb_orig = Mock()\n        mock_wb_copy = Mock()\n\n        mock_wb_orig.sheetnames = [\"Sheet1\"]\n        sheet_orig = Mock()\n        sheet_copy = Mock()\n        mock_wb_orig.__getitem__ = Mock(return_value=sheet_orig)\n        mock_wb_copy.__getitem__ = Mock(return_value=sheet_copy)\n\n        mocker.patch.object(processor, \"_is_single_column\", return_value=False)\n        mocker.patch.object(\n            processor, \"_process_multi_column\", return_value=[\"multi column content\"]\n        )\n\n        result = processor._extract_content(mock_wb_orig, mock_wb_copy)\n\n        assert len(result) == 1\n        assert result[0] == \"multi column content\"\n\n    def test_extract_content_multiple_sheets(self, processor, mocker: MockFixture):\n        \"\"\"Test content extraction for multiple sheets\"\"\"\n        mock_wb_orig = Mock()\n        mock_wb_copy = Mock()\n\n        mock_wb_orig.sheetnames = [\"Sheet1\", \"Sheet2\"]\n        mock_wb_orig.__getitem__ = Mock(side_effect=[Mock(), Mock()])\n        mock_wb_copy.__getitem__ = Mock(side_effect=[Mock(), Mock()])\n\n        mocker.patch.object(processor, \"_is_single_column\", return_value=True)\n        mocker.patch.object(\n            processor, \"_process_single_column\", side_effect=[[\"content1\"], [\"content2\"]]\n        )\n\n        result = processor._extract_content(mock_wb_orig, mock_wb_copy)\n\n        assert len(result) == 2\n\n    def test_convert_to_chunks(self, processor):\n        \"\"\"Test conversion of raw content to chunks\"\"\"\n        raw_content = [\"content1\", \"content2\"]\n        filename = \"test.xlsx\"\n\n        result = processor._convert_to_chunks(raw_content, filename)\n\n        assert len(result) == 2\n        assert result[0][\"content\"] == \"content1\"\n        assert result[0][\"filename\"] == \"test.xlsx\"\n        assert result[0][\"metadata\"][\"chunk_index\"] == 0\n        assert result[0][\"metadata\"][\"file_type\"] == \"xlsx\"\n        assert result[1][\"metadata\"][\"chunk_index\"] == 1\n\n    @pytest.mark.parametrize(\n        \"filename,expected_type\",\n        [\n            (\"test.xlsx\", \"xlsx\"),\n            (\"test.XLSX\", \"xlsx\"),\n            (\"test.xls\", \"xls\"),\n            (\"test.XLS\", \"xls\"),\n            (\"\", \"xls\"),\n        ]\n    )\n    def test_determine_file_type(self, processor, filename, expected_type):\n        \"\"\"Test file type determination\"\"\"\n        result = processor._determine_file_type(filename)\n        assert result == expected_type\n\n    def test_is_single_column_true(self, processor, mocker: MockFixture):\n        \"\"\"Test single column detection returns True\"\"\"\n        sheet = Mock()\n        mocker.patch.object(processor, \"_get_title_row\", return_value=(1, 1))\n\n        result = processor._is_single_column(sheet)\n\n        assert result is True\n\n    def test_is_single_column_false(self, processor, mocker: MockFixture):\n        \"\"\"Test single column detection returns False\"\"\"\n        sheet = Mock()\n        mocker.patch.object(processor, \"_get_title_row\", return_value=(1, 3))\n\n        result = processor._is_single_column(sheet)\n\n        assert result is False\n\n    def test_process_single_column(self, processor):\n        \"\"\"Test single column processing\"\"\"\n        sheet = Mock()\n        sheet.iter_rows = Mock(return_value=[\n            (\"Row1\",),\n            (\"Row2\",),\n            (None,),\n            (\"Row3\",),\n        ])\n\n        result = processor._process_single_column(sheet, \"TestSheet\")\n\n        assert len(result) == 1\n        assert \"Row1\" in result[0]\n        assert \"Row2\" in result[0]\n        assert \"Row3\" in result[0]\n        assert \"TestSheet\" in result[0]\n\n    def test_process_single_column_with_line_breaks(self, processor):\n        \"\"\"Test single column processing with line breaks\"\"\"\n        sheet = Mock()\n        sheet.iter_rows = Mock(return_value=[\n            (\"Row1\\nwith\\nbreaks\",),\n        ])\n\n        result = processor._process_single_column(sheet, \"TestSheet\")\n\n        assert len(result) == 1\n        assert \"<br>\" in result[0]\n\n    def test_process_multi_column(self, processor, mocker: MockFixture):\n        \"\"\"Test multi-column processing\"\"\"\n        sheet = Mock()\n        sheet_copy = Mock()\n\n        mocker.patch.object(processor, \"_get_title_row\", return_value=(1, 2))\n        mocker.patch.object(processor, \"_merge_all_cells\")\n        mocker.patch.object(processor, \"_get_title_key\",\n                            return_value=[\"Col1\", \"Col2\"])\n        mocker.patch.object(processor, \"_get_remark\",\n                            return_value=\"Remark text\")\n        mocker.patch.object(\n            processor, \"_extract_table_content\", return_value=[\"table content\"]\n        )\n\n        result = processor._process_multi_column(\n            sheet, sheet_copy, \"TestSheet\")\n\n        assert len(result) == 1\n        assert result[0] == \"table content\"\n\n    def test_get_title_row(self, processor, mocker: MockFixture):\n        \"\"\"Test title row detection\"\"\"\n        sheet = Mock()\n\n        # Mock rows with different numbers of non-empty cells\n        row1 = [Mock(value=\"A\"), Mock(value=None)]\n        row2 = [Mock(value=\"Col1\"), Mock(value=\"Col2\"), Mock(value=\"Col3\")]\n        row3 = [Mock(value=\"Data1\"), Mock(value=\"Data2\")]\n\n        sheet.iter_rows = Mock(return_value=[row1, row2, row3])\n\n        mocker.patch.object(processor, \"_merge_columns\")\n\n        position, max_col = processor._get_title_row(sheet)\n\n        assert position == 2  # Second row has most columns\n        assert max_col == 3\n\n    def test_get_remark(self, processor):\n        \"\"\"Test remark extraction\"\"\"\n        sheet = Mock()\n        sheet.iter_rows = Mock(return_value=[\n            (\"Remark line 1\", \"Extra\"),\n            (None, None),\n            (\"Header1\", \"Header2\"),\n        ])\n\n        result = processor._get_remark(sheet, 3)\n\n        assert \"Remark line 1\" in result\n        assert \"Extra\" in result\n\n    def test_get_remark_empty(self, processor):\n        \"\"\"Test remark extraction when no remarks exist\"\"\"\n        sheet = Mock()\n        sheet.iter_rows = Mock(return_value=[\n            (\"Header1\", \"Header2\"),\n        ])\n\n        result = processor._get_remark(sheet, 1)\n\n        assert result == \"\"\n\n    def test_get_title_key(self, processor):\n        \"\"\"Test title key extraction\"\"\"\n        sheet = Mock()\n        sheet.iter_rows = Mock(return_value=[\n            (None, None),\n            (\"Col1\", \"Col2\", None),\n        ])\n\n        result = processor._get_title_key(2, sheet)\n\n        assert result == [\"Col1\", \"Col2\", \"\"]\n\n    def test_get_title_key_no_match(self, processor):\n        \"\"\"Test title key extraction when no matching row\"\"\"\n        sheet = Mock()\n        sheet.iter_rows = Mock(return_value=[\n            (None, None),\n        ])\n\n        result = processor._get_title_key(5, sheet)\n\n        assert result == []\n\n    def test_extract_table_content(self, processor, mocker: MockFixture):\n        \"\"\"Test table content extraction\"\"\"\n        sheet = Mock()\n        sheet.iter_rows = Mock(return_value=[\n            (\"Header1\", \"Header2\"),\n            (\"Data1\", \"Data2\"),\n            (\"Data3\", \"Data4\"),\n        ])\n\n        mocker.patch.object(\n            processor, \"_build_row_content\", side_effect=[\"row1_content\", \"row2_content\"]\n        )\n\n        result = processor._extract_table_content(\n            [\"Col1\", \"Col2\"], \"Remark\", sheet, 1, \"TestSheet\"\n        )\n\n        assert len(result) == 2\n        assert result[0] == \"row1_content\"\n        assert result[1] == \"row2_content\"\n\n    def test_extract_table_content_with_empty_rows(self, processor, mocker: MockFixture):\n        \"\"\"Test table content extraction with empty rows\"\"\"\n        sheet = Mock()\n        sheet.iter_rows = Mock(return_value=[\n            (\"Header1\", \"Header2\"),\n            (None, None),\n            (\"Data1\", \"Data2\"),\n        ])\n\n        mocker.patch.object(processor, \"_build_row_content\",\n                            return_value=\"row_content\")\n\n        result = processor._extract_table_content(\n            [\"Col1\", \"Col2\"], \"\", sheet, 1, \"TestSheet\"\n        )\n\n        assert len(result) == 1\n\n    def test_build_row_content_with_remark(self, processor, mocker: MockFixture):\n        \"\"\"Test row content building with remark\"\"\"\n        mocker.patch.object(\n            processor, \"_dict_to_markdown_table\", return_value=\"| Col1 | Col2 |\\n|---|---|\\n| Val1 | Val2 |\"\n        )\n\n        result = processor._build_row_content(\n            [\"Col1\", \"Col2\"], (\"Val1\", \"Val2\"), \"Remark text\", \"Sheet1\"\n        )\n\n        assert \"Col1\" in result or \"Val1\" in result\n        assert \"Sheet1\" in result\n\n    def test_build_row_content_without_remark(self, processor, mocker: MockFixture):\n        \"\"\"Test row content building without remark\"\"\"\n        mocker.patch.object(\n            processor, \"_dict_to_markdown_table\", return_value=\"| Col1 |\\n|---|\\n| Val1 |\"\n        )\n\n        result = processor._build_row_content(\n            [\"Col1\"], (\"Val1\",), \"\", \"Sheet1\")\n\n        assert \"Sheet1\" in result\n\n    def test_build_row_content_with_line_breaks(self, processor, mocker: MockFixture):\n        \"\"\"Test row content building with line breaks in values\"\"\"\n        mocker.patch.object(\n            processor, \"_dict_to_markdown_table\", return_value=\"table\")\n\n        result = processor._build_row_content(\n            [\"Col\\n1\"], (\"Val\\n1\",), \"\", \"Sheet1\"\n        )\n\n        # The method should replace newlines with <br>\n        assert result is not None\n\n    def test_merge_columns(self, processor):\n        \"\"\"Test column merging\"\"\"\n        sheet = Mock()\n\n        # Mock merged range\n        merged_range = Mock()\n        merged_range.__str__ = Mock(return_value=\"A1:A3\")\n        # min_col, min_row, max_col, max_row\n        merged_range.bounds = (1, 1, 1, 3)\n\n        sheet.merged_cells.ranges = [merged_range]\n        sheet.unmerge_cells = Mock()\n\n        # Mock cells\n        cell_values = {\"A1\": \"Value1\"}\n\n        def mock_cell(row, column):\n            cell = Mock()\n            cell.value = cell_values.get(f\"A{row}\", None)\n            return cell\n\n        sheet.cell = mock_cell\n\n        processor._merge_columns(sheet)\n\n        sheet.unmerge_cells.assert_called()\n\n    def test_merge_columns_skip_row_merge(self, processor):\n        \"\"\"Test column merging skips row merges\"\"\"\n        sheet = Mock()\n\n        # Mock merged range that spans rows (should be skipped)\n        merged_range = Mock()\n        merged_range.__str__ = Mock(return_value=\"A1:B1\")\n\n        sheet.merged_cells.ranges = [merged_range]\n        sheet.unmerge_cells = Mock()\n\n        processor._merge_columns(sheet)\n\n        # unmerge_cells should not be called for row merges\n        sheet.unmerge_cells.assert_not_called()\n\n    def test_merge_all_cells(self, processor):\n        \"\"\"Test merging all cells\"\"\"\n        sheet = Mock()\n\n        # Mock merged range\n        merged_range = Mock()\n        merged_range.bounds = (1, 1, 2, 2)\n\n        sheet.merged_cells.ranges = [merged_range]\n        sheet.unmerge_cells = Mock()\n\n        # Mock cell\n        def mock_cell(row, column):\n            cell = Mock()\n            cell.value = \"TopLeftValue\" if row == 1 and column == 1 else None\n            return cell\n\n        sheet.cell = mock_cell\n\n        processor._merge_all_cells(sheet)\n\n        sheet.unmerge_cells.assert_called_once()\n\n    def test_dict_to_markdown_table(self, processor):\n        \"\"\"Test dictionary to markdown table conversion\"\"\"\n        data = {\"Col1\": \"Val1\", \"Col2\": \"Val2\"}\n\n        result = processor._dict_to_markdown_table(data)\n\n        assert \"Col1\" in result\n        assert \"Col2\" in result\n        assert \"Val1\" in result\n        assert \"Val2\" in result\n        assert \"|\" in result\n        assert \"---\" in result\n\n    def test_dict_to_markdown_table_empty(self, processor):\n        \"\"\"Test dictionary to markdown table conversion with empty dict\"\"\"\n        result = processor._dict_to_markdown_table({})\n        assert result == \"\"\n\n    def test_dict_to_markdown_table_with_none_values(self, processor):\n        \"\"\"Test dictionary to markdown table conversion with None values\"\"\"\n        data = {None: None, \"Col1\": None}\n\n        result = processor._dict_to_markdown_table(data)\n\n        assert \"None\" in result\n\n    def test_join_tuple_elements(self, processor):\n        \"\"\"Test joining tuple elements\"\"\"\n        input_tuple = (\"A\", \"B\", \"C\")\n        result = processor._join_tuple_elements(input_tuple)\n        assert result == \"A;B;C\"\n\n    def test_join_tuple_elements_with_none(self, processor):\n        \"\"\"Test joining tuple elements with None values\"\"\"\n        input_tuple = (\"A\", None, \"C\", None)\n        result = processor._join_tuple_elements(input_tuple)\n        assert result == \"A;C\"\n\n    def test_join_tuple_elements_all_none(self, processor):\n        \"\"\"Test joining tuple elements with all None values\"\"\"\n        input_tuple = (None, None, None)\n        result = processor._join_tuple_elements(input_tuple)\n        assert result == \"\"\n\n    def test_check_file_exists_true(self, processor, mocker: MockFixture):\n        \"\"\"Test file existence check returns True\"\"\"\n        mocker.patch(\"os.path.isfile\", return_value=True)\n        mocker.patch(\"os.access\", return_value=True)\n\n        result = processor._check_file_exists(\"/path/to/file.xlsx\")\n\n        assert result is True\n\n    def test_check_file_exists_false_not_file(self, processor, mocker: MockFixture):\n        \"\"\"Test file existence check returns False when not a file\"\"\"\n        mocker.patch(\"os.path.isfile\", return_value=False)\n\n        result = processor._check_file_exists(\"/path/to/nonexistent.xlsx\")\n\n        assert result is False\n\n    def test_check_file_exists_false_not_readable(self, processor, mocker: MockFixture):\n        \"\"\"Test file existence check returns False when not readable\"\"\"\n        mocker.patch(\"os.path.isfile\", return_value=True)\n        mocker.patch(\"os.access\", return_value=False)\n\n        result = processor._check_file_exists(\"/path/to/file.xlsx\")\n\n        assert result is False\n"
  },
  {
    "path": "test/sdk/data_process/test_unstructured_processor.py",
    "content": "import io\nimport sys\nimport types\nimport pytest\nfrom pytest_mock import MockFixture\nfrom unittest.mock import Mock, MagicMock, patch\n\nfrom sdk.nexent.data_process.unstructured_processor import UnstructuredProcessor\n\n\ndef setup_partition_mock(mocker: MockFixture, return_value):\n    \"\"\"Install a fake unstructured module chain and provide a mock partition.\n\n    This avoids importing the real dependency and lets us assert calls.\n    \"\"\"\n    fake_unstructured = types.ModuleType(\"unstructured\")\n    fake_partition_mod = types.ModuleType(\"unstructured.partition\")\n    fake_auto_mod = types.ModuleType(\"unstructured.partition.auto\")\n\n    mocker.patch.dict(sys.modules, {\n        \"unstructured\": fake_unstructured,\n        \"unstructured.partition\": fake_partition_mod,\n        \"unstructured.partition.auto\": fake_auto_mod,\n    })\n\n    mock_partition = mocker.Mock(return_value=return_value)\n    fake_auto_mod.partition = mock_partition\n    return mock_partition\n\n\nclass TestUnstructuredProcessor:\n    \"\"\"Test suite for UnstructuredProcessor class\"\"\"\n\n    @pytest.fixture\n    def processor(self):\n        \"\"\"Create an UnstructuredProcessor instance for testing\"\"\"\n        return UnstructuredProcessor()\n\n    def test_init(self, processor):\n        \"\"\"Test UnstructuredProcessor initialization\"\"\"\n        assert processor is not None\n        assert processor.default_params[\"max_characters\"] == 1536\n        assert processor.default_params[\"new_after_n_chars\"] == 1024\n        assert processor.default_params[\"strategy\"] == \"fast\"\n        assert processor.default_params[\"skip_infer_table_types\"] == []\n        assert processor.default_params[\"task_id\"] == \"\"\n\n    def test_process_file(self, processor, mocker: MockFixture):\n        \"\"\"Test process_file method\"\"\"\n        mock_process_file = mocker.patch.object(\n            processor, \"_process_file\", return_value=[{\"content\": \"test content\"}]\n        )\n\n        file_data = b\"test file data\"\n        filename = \"test.pdf\"\n\n        result = processor.process_file(file_data, \"basic\", filename)\n\n        assert len(result) == 1\n        assert result[0][\"content\"] == \"test content\"\n        mock_process_file.assert_called_once_with(\n            file_data=file_data, chunking_strategy=\"basic\", filename=filename\n        )\n\n    def test_process_file_with_additional_params(self, processor, mocker: MockFixture):\n        \"\"\"Test process_file with additional parameters\"\"\"\n        mock_process_file = mocker.patch.object(\n            processor, \"_process_file\", return_value=[{\"content\": \"test\"}]\n        )\n\n        file_data = b\"data\"\n        filename = \"test.pdf\"\n        additional_params = {\"max_characters\": 2000, \"strategy\": \"hi_res\"}\n\n        result = processor.process_file(\n            file_data, \"by_title\", filename, **additional_params\n        )\n\n        assert len(result) == 1\n        mock_process_file.assert_called_once_with(\n            file_data=file_data,\n            chunking_strategy=\"by_title\",\n            filename=filename,\n            max_characters=2000,\n            strategy=\"hi_res\",\n        )\n\n    def test_process_file_internal_success(self, processor, mocker: MockFixture):\n        \"\"\"Test internal _process_file method success\"\"\"\n        # Mock element\n        mock_element = Mock()\n        mock_element.text = \"Test content\"\n        mock_element.metadata = Mock()\n        mock_element.metadata.to_dict = Mock(\n            return_value={\"languages\": [\"en\"]})\n\n        mock_partition = setup_partition_mock(\n            mocker, return_value=[mock_element])\n\n        file_data = b\"test data\"\n        filename = \"test.pdf\"\n\n        result = processor._process_file(file_data, \"basic\", filename)\n\n        assert len(result) >= 1\n        mock_partition.assert_called_once()\n\n    def test_process_file_no_file_data(self, processor, mocker: MockFixture):\n        \"\"\"Test _process_file with no file data raises ValueError\"\"\"\n        # Ensure import inside _process_file succeeds even when unstructured is absent\n        setup_partition_mock(mocker, return_value=[])\n        with pytest.raises(ValueError, match=\"Must provide binary file_data\"):\n            processor._process_file(b\"\", \"basic\", \"test.pdf\")\n\n    def test_process_file_none_file_data(self, processor, mocker: MockFixture):\n        \"\"\"Test _process_file with None file data raises ValueError\"\"\"\n        # Ensure import inside _process_file succeeds even when unstructured is absent\n        setup_partition_mock(mocker, return_value=[])\n        with pytest.raises(ValueError, match=\"Must provide binary file_data\"):\n            processor._process_file(None, \"basic\", \"test.pdf\")\n\n    def test_merge_params_default(self, processor):\n        \"\"\"Test merging parameters with empty user params\"\"\"\n        user_params = {}\n        result = processor._merge_params(user_params)\n\n        assert result[\"max_characters\"] == 1536\n        assert result[\"new_after_n_chars\"] == 1024\n        assert result[\"strategy\"] == \"fast\"\n\n    def test_merge_params_override(self, processor):\n        \"\"\"Test merging parameters with user overrides\"\"\"\n        user_params = {\"max_characters\": 2000, \"strategy\": \"hi_res\"}\n        result = processor._merge_params(user_params)\n\n        assert result[\"max_characters\"] == 2000\n        assert result[\"strategy\"] == \"hi_res\"\n        assert result[\"new_after_n_chars\"] == 1024  # Default preserved\n\n    def test_merge_params_additional(self, processor):\n        \"\"\"Test merging parameters with additional user params\"\"\"\n        user_params = {\"max_characters\": 3000, \"custom_param\": \"value\"}\n        result = processor._merge_params(user_params)\n\n        assert result[\"max_characters\"] == 3000\n        assert result[\"custom_param\"] == \"value\"\n        assert result[\"strategy\"] == \"fast\"\n\n    def test_prepare_partition_kwargs_basic(self, processor):\n        \"\"\"Test preparing partition kwargs with basic strategy\"\"\"\n        file_data = b\"test data\"\n        params = processor.default_params.copy()\n\n        result = processor._prepare_partition_kwargs(\n            file_data, \"basic\", params)\n\n        assert result[\"max_characters\"] == 1536\n        assert result[\"new_after_n_chars\"] == 1024\n        assert result[\"strategy\"] == \"fast\"\n        assert result[\"chunking_strategy\"] == \"basic\"\n        assert isinstance(result[\"file\"], io.BytesIO)\n\n    def test_prepare_partition_kwargs_by_title(self, processor):\n        \"\"\"Test preparing partition kwargs with by_title strategy\"\"\"\n        file_data = b\"test data\"\n        params = processor.default_params.copy()\n\n        result = processor._prepare_partition_kwargs(\n            file_data, \"by_title\", params)\n\n        assert result[\"chunking_strategy\"] == \"by_title\"\n\n    def test_prepare_partition_kwargs_none_strategy(self, processor):\n        \"\"\"Test preparing partition kwargs with none strategy\"\"\"\n        file_data = b\"test data\"\n        params = processor.default_params.copy()\n\n        result = processor._prepare_partition_kwargs(file_data, \"none\", params)\n\n        assert result[\"chunking_strategy\"] is None\n\n    def test_prepare_partition_kwargs_custom_params(self, processor):\n        \"\"\"Test preparing partition kwargs with custom parameters\"\"\"\n        file_data = b\"test data\"\n        params = {\n            \"max_characters\": 2000,\n            \"new_after_n_chars\": 1500,\n            \"strategy\": \"hi_res\",\n            \"skip_infer_table_types\": [\"pdf\"],\n        }\n\n        result = processor._prepare_partition_kwargs(\n            file_data, \"basic\", params)\n\n        assert result[\"max_characters\"] == 2000\n        assert result[\"new_after_n_chars\"] == 1500\n        assert result[\"strategy\"] == \"hi_res\"\n        assert result[\"skip_infer_table_types\"] == [\"pdf\"]\n\n    def test_process_elements_basic_strategy(self, processor, mocker: MockFixture):\n        \"\"\"Test processing elements with basic strategy\"\"\"\n        mock_elements = [Mock(), Mock()]\n        mock_create_chunked = mocker.patch.object(\n            processor, \"_create_chunked_documents\", return_value=[{\"content\": \"chunk1\"}]\n        )\n\n        result = processor._process_elements(\n            mock_elements, \"basic\", \"test.pdf\")\n\n        assert len(result) == 1\n        mock_create_chunked.assert_called_once_with(mock_elements, \"test.pdf\")\n\n    def test_process_elements_by_title_strategy(self, processor, mocker: MockFixture):\n        \"\"\"Test processing elements with by_title strategy\"\"\"\n        mock_elements = [Mock()]\n        mock_create_chunked = mocker.patch.object(\n            processor, \"_create_chunked_documents\", return_value=[{\"content\": \"chunk\"}]\n        )\n\n        result = processor._process_elements(\n            mock_elements, \"by_title\", \"test.pdf\")\n\n        assert len(result) == 1\n        mock_create_chunked.assert_called_once()\n\n    def test_process_elements_none_strategy(self, processor, mocker: MockFixture):\n        \"\"\"Test processing elements with none strategy\"\"\"\n        mock_elements = [Mock()]\n        mock_create_single = mocker.patch.object(\n            processor, \"_create_single_document\", return_value=[{\"content\": \"full doc\"}]\n        )\n\n        result = processor._process_elements(mock_elements, \"none\", \"test.pdf\")\n\n        assert len(result) == 1\n        mock_create_single.assert_called_once_with(mock_elements, \"test.pdf\")\n\n    def test_create_single_document(self, processor):\n        \"\"\"Test creating single document\"\"\"\n        element1 = Mock()\n        element1.text = \"First paragraph\"\n        element1.metadata = Mock()\n        element1.metadata.to_dict = Mock(return_value={\"languages\": [\"en\"]})\n\n        element2 = Mock()\n        element2.text = \"Second paragraph\"\n\n        elements = [element1, element2]\n        filename = \"test.pdf\"\n\n        result = processor._create_single_document(elements, filename)\n\n        assert len(result) == 1\n        assert \"First paragraph\" in result[0][\"content\"]\n        assert \"Second paragraph\" in result[0][\"content\"]\n        assert result[0][\"filename\"] == \"test.pdf\"\n        assert result[0][\"language\"] == \"en\"\n\n    def test_create_single_document_no_language(self, processor):\n        \"\"\"Test creating single document without language info\"\"\"\n        element1 = Mock()\n        element1.text = \"Content\"\n        element1.metadata = Mock()\n        element1.metadata.to_dict = Mock(return_value={})\n\n        elements = [element1]\n\n        result = processor._create_single_document(elements, \"test.pdf\")\n\n        assert len(result) == 1\n        assert \"language\" not in result[0]\n\n    def test_create_single_document_no_metadata(self, processor):\n        \"\"\"Test creating single document when element has no metadata\"\"\"\n        element1 = Mock()\n        element1.text = \"Content\"\n        del element1.metadata\n\n        elements = [element1]\n\n        result = processor._create_single_document(elements, \"test.pdf\")\n\n        assert len(result) == 1\n        assert \"language\" not in result[0]\n\n    def test_create_single_document_no_text_attribute(self, processor):\n        \"\"\"Test creating single document skips elements without text\"\"\"\n        element1 = Mock()\n        element1.text = \"Content\"\n        element1.metadata = Mock()\n        element1.metadata.to_dict = Mock(return_value={})\n\n        element2 = Mock(spec=[])  # No text attribute\n\n        elements = [element1, element2]\n\n        result = processor._create_single_document(elements, \"test.pdf\")\n\n        assert len(result) == 1\n        assert \"Content\" in result[0][\"content\"]\n\n    def test_create_chunked_documents(self, processor):\n        \"\"\"Test creating chunked documents\"\"\"\n        element1 = Mock()\n        element1.text = \"Chunk 1 content\"\n        element1.metadata = Mock()\n        element1.metadata.to_dict = Mock(return_value={\n            \"languages\": [\"en\"],\n            \"page_number\": 1,\n        })\n\n        element2 = Mock()\n        element2.text = \"Chunk 2 content\"\n        element2.metadata = Mock()\n        element2.metadata.to_dict = Mock(return_value={\"languages\": [\"en\"]})\n\n        elements = [element1, element2]\n        filename = \"test.pdf\"\n\n        result = processor._create_chunked_documents(elements, filename)\n\n        assert len(result) == 2\n        assert result[0][\"content\"] == \"Chunk 1 content\"\n        assert result[0][\"filename\"] == \"test.pdf\"\n        assert result[0][\"metadata\"][\"chunk_index\"] == 0\n        assert result[0][\"metadata\"][\"page_number\"] == 1\n        assert result[0][\"language\"] == \"en\"\n        assert result[1][\"content\"] == \"Chunk 2 content\"\n        assert result[1][\"metadata\"][\"chunk_index\"] == 1\n\n    def test_create_chunked_documents_with_coordinates(self, processor):\n        \"\"\"Test creating chunked documents with coordinates metadata\"\"\"\n        element = Mock()\n        element.text = \"Content\"\n        element.metadata = Mock()\n        element.metadata.to_dict = Mock(return_value={\n            \"coordinates\": {\"x\": 100, \"y\": 200}\n        })\n\n        elements = [element]\n\n        result = processor._create_chunked_documents(elements, \"test.pdf\")\n\n        assert len(result) == 1\n        assert result[0][\"metadata\"][\"coordinates\"] == {\"x\": 100, \"y\": 200}\n\n    def test_create_chunked_documents_no_text(self, processor):\n        \"\"\"Test creating chunked documents skips elements without text\"\"\"\n        element1 = Mock()\n        element1.text = \"Content\"\n        element1.metadata = Mock()\n        element1.metadata.to_dict = Mock(return_value={})\n\n        element2 = Mock(spec=[])  # No text attribute\n\n        elements = [element1, element2]\n\n        result = processor._create_chunked_documents(elements, \"test.pdf\")\n\n        assert len(result) == 1\n\n    def test_create_chunked_documents_no_metadata(self, processor):\n        \"\"\"Test creating chunked documents when element has no metadata\"\"\"\n        element = Mock()\n        element.text = \"Content\"\n        del element.metadata\n\n        elements = [element]\n\n        result = processor._create_chunked_documents(elements, \"test.pdf\")\n\n        assert len(result) == 1\n        assert \"language\" not in result[0]\n\n    def test_create_chunked_documents_no_language(self, processor):\n        \"\"\"Test creating chunked documents without language info\"\"\"\n        element = Mock()\n        element.text = \"Content\"\n        element.metadata = Mock()\n        element.metadata.to_dict = Mock(return_value={})\n\n        elements = [element]\n\n        result = processor._create_chunked_documents(elements, \"test.pdf\")\n\n        assert len(result) == 1\n        assert \"language\" not in result[0]\n\n    def test_get_supported_formats(self, processor):\n        \"\"\"Test getting supported formats\"\"\"\n        result = processor.get_supported_formats()\n\n        assert \".txt\" in result\n        assert \".pdf\" in result\n        assert \".docx\" in result\n        assert \".doc\" in result\n        assert \".html\" in result\n        assert \".htm\" in result\n        assert \".md\" in result\n        assert \".rtf\" in result\n        assert \".odt\" in result\n        assert \".pptx\" in result\n        assert \".ppt\" in result\n        assert len(result) == 11\n\n    @pytest.mark.parametrize(\n        \"filename,expected\",\n        [\n            (\"test.pdf\", True),\n            (\"test.PDF\", True),\n            (\"test.docx\", True),\n            (\"test.txt\", True),\n            (\"test.html\", True),\n            (\"test.md\", True),\n            (\"test.unknown\", False),\n            (\"test.exe\", False),\n            (\"\", False),\n        ]\n    )\n    def test_validate_file_format(self, processor, filename, expected):\n        \"\"\"Test file format validation\"\"\"\n        result = processor.validate_file_format(filename)\n        assert result == expected\n\n    def test_validate_file_format_none(self, processor):\n        \"\"\"Test file format validation with None filename\"\"\"\n        result = processor.validate_file_format(None)\n        assert result is False\n\n    def test_get_file_info_success(self, processor, mocker: MockFixture):\n        \"\"\"Test getting file info successfully\"\"\"\n        mock_stat = Mock()\n        mock_stat.st_size = 1024\n        mock_stat.st_ctime = 1234567890.0\n        mock_stat.st_mtime = 1234567891.0\n\n        mocker.patch(\"os.path.exists\", return_value=True)\n        mocker.patch(\"os.stat\", return_value=mock_stat)\n        mocker.patch(\"os.path.basename\", return_value=\"test.pdf\")\n        mocker.patch(\"os.path.splitext\", return_value=(\"test\", \".pdf\"))\n\n        result = processor.get_file_info(\"/path/to/test.pdf\")\n\n        assert result[\"filename\"] == \"test.pdf\"\n        assert result[\"extension\"] == \".pdf\"\n        assert result[\"size_bytes\"] == 1024\n        assert result[\"is_supported\"] is True\n        assert result[\"created_time\"] == 1234567890.0\n        assert result[\"modified_time\"] == 1234567891.0\n\n    def test_get_file_info_file_not_exists(self, processor, mocker: MockFixture):\n        \"\"\"Test getting file info when file doesn't exist\"\"\"\n        mocker.patch(\"os.path.exists\", return_value=False)\n\n        with pytest.raises(FileNotFoundError, match=\"File does not exist\"):\n            processor.get_file_info(\"/path/to/nonexistent.pdf\")\n\n    def test_get_file_info_unsupported_format(self, processor, mocker: MockFixture):\n        \"\"\"Test getting file info for unsupported format\"\"\"\n        mock_stat = Mock()\n        mock_stat.st_size = 2048\n        mock_stat.st_ctime = 1234567890.0\n        mock_stat.st_mtime = 1234567891.0\n\n        mocker.patch(\"os.path.exists\", return_value=True)\n        mocker.patch(\"os.stat\", return_value=mock_stat)\n        mocker.patch(\"os.path.basename\", return_value=\"test.exe\")\n        mocker.patch(\"os.path.splitext\", return_value=(\"test\", \".exe\"))\n\n        result = processor.get_file_info(\"/path/to/test.exe\")\n\n        assert result[\"filename\"] == \"test.exe\"\n        assert result[\"extension\"] == \".exe\"\n        assert result[\"is_supported\"] is False\n\n    @pytest.mark.parametrize(\n        \"chunking_strategy,expected_call\",\n        [\n            (\"basic\", \"basic\"),\n            (\"by_title\", \"by_title\"),\n            (\"none\", \"none\"),\n        ]\n    )\n    def test_process_file_different_strategies(self, processor, mocker: MockFixture, chunking_strategy, expected_call):\n        \"\"\"Test processing file with different chunking strategies\"\"\"\n        mock_element = Mock()\n        mock_element.text = \"Content\"\n        mock_element.metadata = Mock()\n        mock_element.metadata.to_dict = Mock(return_value={})\n\n        mock_partition = setup_partition_mock(\n            mocker, return_value=[mock_element])\n\n        result = processor._process_file(\n            b\"data\", chunking_strategy, \"test.pdf\")\n\n        assert len(result) >= 1\n        # Verify partition was called with correct strategy\n        call_kwargs = mock_partition.call_args[1]\n        if chunking_strategy == \"none\":\n            assert call_kwargs[\"chunking_strategy\"] is None\n        else:\n            assert call_kwargs[\"chunking_strategy\"] == expected_call\n\n    def test_process_file_with_skip_infer_table_types(self, processor, mocker: MockFixture):\n        \"\"\"Test processing file with skip_infer_table_types parameter\"\"\"\n        mock_element = Mock()\n        mock_element.text = \"Content\"\n        mock_element.metadata = Mock()\n        mock_element.metadata.to_dict = Mock(return_value={})\n\n        mock_partition = setup_partition_mock(\n            mocker, return_value=[mock_element])\n\n        result = processor._process_file(\n            b\"data\", \"basic\", \"test.pdf\", skip_infer_table_types=[\"pdf\", \"image\"]\n        )\n\n        assert len(result) >= 1\n        call_kwargs = mock_partition.call_args[1]\n        assert call_kwargs[\"skip_infer_table_types\"] == [\"pdf\", \"image\"]\n\n    def test_element_type_metadata(self, processor):\n        \"\"\"Test that element type is included in metadata\"\"\"\n        element = Mock()\n        element.text = \"Content\"\n        element.metadata = Mock()\n        element.metadata.to_dict = Mock(return_value={})\n\n        elements = [element]\n\n        result = processor._create_chunked_documents(elements, \"test.pdf\")\n\n        assert len(result) == 1\n        assert \"element_type\" in result[0][\"metadata\"]\n\n    def test_process_file_with_empty_elements(self, processor, mocker: MockFixture):\n        \"\"\"Test processing file when partition returns empty elements\"\"\"\n        mock_partition = setup_partition_mock(mocker, return_value=[])\n\n        result = processor._process_file(b\"data\", \"basic\", \"test.pdf\")\n\n        # Should return empty list or single empty document\n        assert isinstance(result, list)\n\n    def test_process_file_filename_none(self, processor, mocker: MockFixture):\n        \"\"\"Test processing file with None filename\"\"\"\n        mock_element = Mock()\n        mock_element.text = \"Content\"\n        mock_element.metadata = Mock()\n        mock_element.metadata.to_dict = Mock(return_value={})\n\n        setup_partition_mock(mocker, return_value=[mock_element])\n\n        result = processor._process_file(b\"data\", \"basic\", None)\n\n        assert len(result) >= 1\n        assert result[0][\"filename\"] is None\n"
  },
  {
    "path": "test/sdk/datamate/test_datamate_client.py",
    "content": "import pytest\nfrom unittest.mock import MagicMock\n\nimport httpx\nfrom pytest_mock import MockerFixture\n\nfrom sdk.nexent.datamate.datamate_client import DataMateClient\n\n\n@pytest.fixture\ndef client() -> DataMateClient:\n    \"\"\"\n    Create a DataMateClient with a mocked HTTP client.\n\n    The HTTP client is mocked at initialization to ensure tests can properly\n    mock responses without dealing with cached client references.\n    \"\"\"\n    mock_http_client = MagicMock()\n    client_instance = DataMateClient(base_url=\"http://datamate.local:30000\", timeout=1.0)\n    # Replace the cached HTTP client with a mock for testing\n    client_instance._http_client = mock_http_client\n    return client_instance\n\n\ndef _create_mock_response(status: int, json_data=None, text: str = \"\"):\n    \"\"\"Create a mock HTTP response for testing.\"\"\"\n    response = MagicMock()\n    response.status_code = status\n    response.headers = {\"content-type\": \"application/json\"} if json_data is not None else {\"content-type\": \"text/plain\"}\n    response.json.return_value = json_data\n    response.text = text\n    return response\n\n\nclass TestListKnowledgeBases:\n    def test_success(self, client: DataMateClient):\n        mock_response = _create_mock_response(200, {\"data\": {\"content\": [{\"id\": \"kb1\"}, {\"id\": \"kb2\"}]}})\n        client._http_client.post.return_value = mock_response\n\n        kbs = client.list_knowledge_bases(page=1, size=10, authorization=\"token\")\n\n        assert len(kbs) == 2\n        client._http_client.post.assert_called_once_with(\n            \"http://datamate.local:30000/api/knowledge-base/list\",\n            json={\"page\": 1, \"size\": 10},\n            headers={\"Authorization\": \"token\"},\n            timeout=client.timeout,\n        )\n\n    def test_non_200_json_error(self, client: DataMateClient):\n        mock_response = _create_mock_response(500, {\"detail\": \"boom\"})\n        client._http_client.post.return_value = mock_response\n\n        with pytest.raises(RuntimeError) as excinfo:\n            client.list_knowledge_bases()\n        assert \"Failed to fetch DataMate knowledge bases\" in str(excinfo.value)\n\n    def test_http_error(self, client: DataMateClient):\n        client._http_client.post.side_effect = httpx.HTTPError(\"network\")\n\n        with pytest.raises(RuntimeError):\n            client.list_knowledge_bases()\n\n\nclass TestGetKnowledgeBaseFiles:\n    def test_success(self, client: DataMateClient):\n        mock_response = _create_mock_response(200, {\"data\": {\"content\": [{\"id\": \"f1\"}, {\"id\": \"f2\"}]}})\n        client._http_client.get.return_value = mock_response\n\n        files = client.get_knowledge_base_files(\"kb1\")\n\n        assert len(files) == 2\n        client._http_client.get.assert_called_once_with(\n            \"http://datamate.local:30000/api/knowledge-base/kb1/files\",\n            headers={},\n            timeout=client.timeout,\n        )\n\n    def test_non_200(self, client: DataMateClient):\n        mock_response = _create_mock_response(404, {\"detail\": \"not found\"})\n        client._http_client.get.return_value = mock_response\n\n        with pytest.raises(RuntimeError):\n            client.get_knowledge_base_files(\"kb1\")\n\n    def test_http_error(self, client: DataMateClient):\n        client._http_client.get.side_effect = httpx.HTTPError(\"network\")\n\n        with pytest.raises(RuntimeError):\n            client.get_knowledge_base_files(\"kb1\")\n\n\nclass TestRetrieveKnowledgeBase:\n    def test_success(self, client: DataMateClient):\n        mock_response = _create_mock_response(200, {\"data\": [{\"entity\": {\"id\": \"1\"}}, {\"entity\": {\"id\": \"2\"}}]})\n        client._http_client.post.return_value = mock_response\n\n        results = client.retrieve_knowledge_base(\"q\", [\"kb1\"], top_k=5, threshold=0.1, authorization=\"auth\")\n\n        assert len(results) == 2\n        client._http_client.post.assert_called_once_with(\n            \"http://datamate.local:30000/api/knowledge-base/retrieve\",\n            json={\n                \"query\": \"q\",\n                \"topK\": 5,\n                \"threshold\": 0.1,\n                \"knowledgeBaseIds\": [\"kb1\"],\n            },\n            headers={\"Authorization\": \"auth\"},\n            timeout=client.timeout * 2,\n        )\n\n    def test_non_200(self, client: DataMateClient):\n        mock_response = _create_mock_response(500, {\"detail\": \"error\"})\n        client._http_client.post.return_value = mock_response\n\n        with pytest.raises(RuntimeError):\n            client.retrieve_knowledge_base(\"q\", [\"kb1\"])\n\n    def test_http_error(self, client: DataMateClient):\n        client._http_client.post.side_effect = httpx.HTTPError(\"network\")\n\n        with pytest.raises(RuntimeError):\n            client.retrieve_knowledge_base(\"q\", [\"kb1\"])\n\n\nclass TestBuildFileDownloadUrl:\n    def test_build_url(self, client: DataMateClient):\n        assert client.build_file_download_url(\"ds1\", \"f1\") == \\\n               \"http://datamate.local:30000/api/data-management/datasets/ds1/files/f1/download\"\n\n    def test_missing_parts(self, client: DataMateClient):\n        assert client.build_file_download_url(\"\", \"f1\") == \"\"\n        assert client.build_file_download_url(\"ds1\", \"\") == \"\"\n\n\nclass TestSyncAllKnowledgeBases:\n    def test_success_and_partial_error(self, mocker: MockerFixture, client: DataMateClient):\n        mocker.patch.object(client, \"list_knowledge_bases\", return_value=[{\"id\": \"kb1\"}, {\"id\": \"kb2\"}])\n        mocker.patch.object(client, \"get_knowledge_base_files\", side_effect=[[\"f1\"], RuntimeError(\"oops\")])\n\n        result = client.sync_all_knowledge_bases()\n\n        assert result[\"success\"] is True\n        assert result[\"total_count\"] == 2\n        assert result[\"knowledge_bases\"][0][\"files\"] == [\"f1\"]\n        assert result[\"knowledge_bases\"][1][\"files\"] == []\n        assert \"oops\" in result[\"knowledge_bases\"][1][\"error\"]\n\n    def test_sync_failure(self, mocker: MockerFixture, client: DataMateClient):\n        mocker.patch.object(client, \"list_knowledge_bases\", side_effect=RuntimeError(\"boom\"))\n\n        result = client.sync_all_knowledge_bases()\n\n        assert result[\"success\"] is False\n        assert result[\"total_count\"] == 0\n        assert \"boom\" in result[\"error\"]\n\n\nclass TestGetKnowledgeBaseInfo:\n    def test_success(self, client: DataMateClient):\n        mock_response = _create_mock_response(200, {\"data\": {\"id\": \"kb1\", \"name\": \"KB1\"}})\n        client._http_client.get.return_value = mock_response\n\n        kb = client.get_knowledge_base_info(\"kb1\")\n\n        assert isinstance(kb, dict)\n        assert kb[\"id\"] == \"kb1\"\n        client._http_client.get.assert_called_once_with(\n            \"http://datamate.local:30000/api/knowledge-base/kb1\",\n            headers={},\n            timeout=client.timeout,\n        )\n\n    def test_success_with_authorization(self, client: DataMateClient):\n        mock_response = _create_mock_response(200, {\"data\": {\"id\": \"kb1\", \"name\": \"KB1\"}})\n        client._http_client.get.return_value = mock_response\n\n        kb = client.get_knowledge_base_info(\"kb1\", authorization=\"Bearer token123\")\n\n        assert isinstance(kb, dict)\n        assert kb[\"id\"] == \"kb1\"\n        client._http_client.get.assert_called_once_with(\n            \"http://datamate.local:30000/api/knowledge-base/kb1\",\n            headers={\"Authorization\": \"Bearer token123\"},\n            timeout=client.timeout,\n        )\n\n    def test_empty_data(self, client: DataMateClient):\n        mock_response = _create_mock_response(200, {\"data\": {}})\n        client._http_client.get.return_value = mock_response\n\n        kb = client.get_knowledge_base_info(\"kb1\")\n        assert kb == {}\n\n    def test_non_200_json_error(self, client: DataMateClient):\n        mock_response = _create_mock_response(500, {\"detail\": \"boom\"}, text=\"\")\n        client._http_client.get.return_value = mock_response\n\n        with pytest.raises(RuntimeError) as excinfo:\n            client.get_knowledge_base_info(\"kb1\")\n\n        assert \"Failed to fetch details for datamate knowledge base kb1\" in str(excinfo.value)\n        assert \"Failed to get knowledge base details\" in str(excinfo.value)\n\n    def test_non_200_text_error(self, client: DataMateClient):\n        # Simulate plain text error response\n        mock_response = _create_mock_response(404, None, text=\"not found\")\n        # Override headers to be text/plain\n        mock_response.headers = {\"content-type\": \"text/plain\"}\n        client._http_client.get.return_value = mock_response\n\n        with pytest.raises(RuntimeError) as excinfo:\n            client.get_knowledge_base_info(\"kb1\")\n\n        assert \"Failed to fetch details for datamate knowledge base kb1\" in str(excinfo.value)\n        assert \"not found\" in str(excinfo.value)\n\n    def test_http_error_raised(self, client: DataMateClient):\n        client._http_client.get.side_effect = httpx.HTTPError(\"network\")\n\n        with pytest.raises(RuntimeError) as excinfo:\n            client.get_knowledge_base_info(\"kb1\")\n\n        assert \"Failed to fetch details for datamate knowledge base kb1\" in str(excinfo.value)\n        assert \"network\" in str(excinfo.value)\n\n\nclass TestBuildHeaders:\n    \"\"\"Test the internal _build_headers method.\"\"\"\n\n    def test_with_authorization(self, client: DataMateClient):\n        headers = client._build_headers(\"Bearer token123\")\n        assert headers == {\"Authorization\": \"Bearer token123\"}\n\n    def test_without_authorization(self, client: DataMateClient):\n        headers = client._build_headers()\n        assert headers == {}\n\n    def test_with_none_authorization(self, client: DataMateClient):\n        headers = client._build_headers(None)\n        assert headers == {}\n\n\nclass TestBuildUrl:\n    \"\"\"Test the internal _build_url method.\"\"\"\n\n    def test_path_with_leading_slash(self, client: DataMateClient):\n        url = client._build_url(\"/api/test\")\n        assert url == \"http://datamate.local:30000/api/test\"\n\n    def test_path_without_leading_slash(self, client: DataMateClient):\n        url = client._build_url(\"api/test\")\n        assert url == \"http://datamate.local:30000/api/test\"\n\n    def test_base_url_without_trailing_slash(self, client: DataMateClient):\n        # base_url is already stripped of trailing slash in __init__\n        url = client._build_url(\"/api/test\")\n        assert url == \"http://datamate.local:30000/api/test\"\n\n\nclass TestMakeRequest:\n    \"\"\"Test the internal _make_request method.\"\"\"\n\n    def test_get_request_success(self, client: DataMateClient):\n        mock_response = _create_mock_response(200, {\"result\": \"ok\"})\n        client._http_client.get.return_value = mock_response\n\n        response = client._make_request(\"GET\", \"http://test.com/api\", {\"X-Header\": \"value\"})\n\n        assert response.status_code == 200\n        client._http_client.get.assert_called_once_with(\"http://test.com/api\", headers={\"X-Header\": \"value\"}, timeout=client.timeout)\n\n    def test_post_request_success(self, client: DataMateClient):\n        mock_response = _create_mock_response(200, {\"result\": \"ok\"})\n        client._http_client.post.return_value = mock_response\n\n        response = client._make_request(\n            \"POST\", \"http://test.com/api\", {\"X-Header\": \"value\"}, json={\"key\": \"value\"}\n        )\n\n        assert response.status_code == 200\n        client._http_client.post.assert_called_once_with(\n            \"http://test.com/api\", json={\"key\": \"value\"}, headers={\"X-Header\": \"value\"}, timeout=client.timeout\n        )\n\n    def test_non_200_status_code(self, client: DataMateClient):\n        mock_response = _create_mock_response(404, {\"detail\": \"not found\"})\n        client._http_client.get.return_value = mock_response\n\n        with pytest.raises(Exception) as excinfo:\n            client._make_request(\"GET\", \"http://test.com/api\", {}, error_message=\"Custom error\")\n\n        assert \"Custom error\" in str(excinfo.value)\n        assert \"404\" in str(excinfo.value)\n\n    def test_unsupported_method(self, client: DataMateClient):\n        with pytest.raises(ValueError) as excinfo:\n            client._make_request(\"PUT\", \"http://test.com/api\", {})\n\n        assert \"Unsupported HTTP method: PUT\" in str(excinfo.value)\n\n\nclass TestHandleErrorResponse:\n    \"\"\"Test the internal _handle_error_response method.\"\"\"\n\n    def test_json_error_response(self, client: DataMateClient):\n        response = MagicMock()\n        response.status_code = 500\n        response.headers = {\"content-type\": \"application/json\"}\n        response.json.return_value = {\"detail\": \"Internal server error\"}\n\n        with pytest.raises(Exception) as excinfo:\n            client._handle_error_response(response, \"Test error\")\n\n        assert \"Test error\" in str(excinfo.value)\n        assert \"500\" in str(excinfo.value)\n        assert \"Internal server error\" in str(excinfo.value)\n\n    def test_text_error_response(self, client: DataMateClient):\n        response = MagicMock()\n        response.status_code = 404\n        response.headers = {\"content-type\": \"text/plain\"}\n        response.text = \"Resource not found\"\n\n        with pytest.raises(Exception) as excinfo:\n            client._handle_error_response(response, \"Test error\")\n\n        assert \"Test error\" in str(excinfo.value)\n        assert \"404\" in str(excinfo.value)\n        assert \"Resource not found\" in str(excinfo.value)\n\n    def test_json_error_without_detail(self, client: DataMateClient):\n        response = MagicMock()\n        response.status_code = 500\n        response.headers = {\"content-type\": \"application/json\"}\n        response.json.return_value = {}\n\n        with pytest.raises(Exception) as excinfo:\n            client._handle_error_response(response, \"Test error\")\n\n        assert \"Test error\" in str(excinfo.value)\n        assert \"unknown error\" in str(excinfo.value)\n\n\nclass TestListKnowledgeBasesEdgeCases:\n    \"\"\"Test edge cases for list_knowledge_bases.\"\"\"\n\n    def test_empty_list(self, client: DataMateClient):\n        mock_response = _create_mock_response(200, {\"data\": {\"content\": []}})\n        client._http_client.post.return_value = mock_response\n\n        kbs = client.list_knowledge_bases()\n        assert kbs == []\n\n    def test_no_data_field(self, client: DataMateClient):\n        mock_response = _create_mock_response(200, {})\n        client._http_client.post.return_value = mock_response\n\n        kbs = client.list_knowledge_bases()\n        assert kbs == []\n\n    def test_default_parameters(self, client: DataMateClient):\n        mock_response = _create_mock_response(200, {\"data\": {\"content\": [{\"id\": \"kb1\"}]}})\n        client._http_client.post.return_value = mock_response\n\n        client.list_knowledge_bases()\n\n        client._http_client.post.assert_called_once_with(\n            \"http://datamate.local:30000/api/knowledge-base/list\",\n            json={\"page\": 0, \"size\": 20},\n            headers={},\n            timeout=client.timeout,\n        )\n\n\nclass TestGetKnowledgeBaseFilesEdgeCases:\n    \"\"\"Test edge cases for get_knowledge_base_files.\"\"\"\n\n    def test_empty_file_list(self, client: DataMateClient):\n        mock_response = _create_mock_response(200, {\"data\": {\"content\": []}})\n        client._http_client.get.return_value = mock_response\n\n        files = client.get_knowledge_base_files(\"kb1\")\n        assert files == []\n\n    def test_no_data_field(self, client: DataMateClient):\n        mock_response = _create_mock_response(200, {})\n        client._http_client.get.return_value = mock_response\n\n        files = client.get_knowledge_base_files(\"kb1\")\n        assert files == []\n\n    def test_with_authorization(self, client: DataMateClient):\n        mock_response = _create_mock_response(200, {\"data\": {\"content\": [{\"id\": \"f1\"}]}})\n        client._http_client.get.return_value = mock_response\n\n        client.get_knowledge_base_files(\"kb1\", authorization=\"Bearer token\")\n\n        client._http_client.get.assert_called_once_with(\n            \"http://datamate.local:30000/api/knowledge-base/kb1/files\",\n            headers={\"Authorization\": \"Bearer token\"},\n            timeout=client.timeout,\n        )\n\n\nclass TestRetrieveKnowledgeBaseEdgeCases:\n    \"\"\"Test edge cases for retrieve_knowledge_base.\"\"\"\n\n    def test_empty_results(self, client: DataMateClient):\n        mock_response = _create_mock_response(200, {\"data\": []})\n        client._http_client.post.return_value = mock_response\n\n        results = client.retrieve_knowledge_base(\"query\", [\"kb1\"])\n        assert results == []\n\n    def test_no_data_field(self, client: DataMateClient):\n        mock_response = _create_mock_response(200, {})\n        client._http_client.post.return_value = mock_response\n\n        results = client.retrieve_knowledge_base(\"query\", [\"kb1\"])\n        assert results == []\n\n    def test_default_parameters(self, client: DataMateClient):\n        mock_response = _create_mock_response(200, {\"data\": []})\n        client._http_client.post.return_value = mock_response\n\n        client.retrieve_knowledge_base(\"query\", [\"kb1\"])\n\n        client._http_client.post.assert_called_once_with(\n            \"http://datamate.local:30000/api/knowledge-base/retrieve\",\n            json={\n                \"query\": \"query\",\n                \"topK\": 10,\n                \"threshold\": 0.2,\n                \"knowledgeBaseIds\": [\"kb1\"],\n            },\n            headers={},\n            timeout=client.timeout * 2,\n        )\n\n    def test_multiple_knowledge_base_ids(self, client: DataMateClient):\n        mock_response = _create_mock_response(200, {\"data\": []})\n        client._http_client.post.return_value = mock_response\n\n        client.retrieve_knowledge_base(\"query\", [\"kb1\", \"kb2\", \"kb3\"], top_k=5, threshold=0.3)\n\n        client._http_client.post.assert_called_once_with(\n            \"http://datamate.local:30000/api/knowledge-base/retrieve\",\n            json={\n                \"query\": \"query\",\n                \"topK\": 5,\n                \"threshold\": 0.3,\n                \"knowledgeBaseIds\": [\"kb1\", \"kb2\", \"kb3\"],\n            },\n            headers={},\n            timeout=client.timeout * 2,\n        )\n\n\nclass TestSyncAllKnowledgeBasesEdgeCases:\n    \"\"\"Test edge cases for sync_all_knowledge_bases.\"\"\"\n\n    def test_empty_knowledge_bases_list(self, mocker: MockerFixture, client: DataMateClient):\n        mocker.patch.object(client, \"list_knowledge_bases\", return_value=[])\n\n        result = client.sync_all_knowledge_bases()\n\n        assert result[\"success\"] is True\n        assert result[\"total_count\"] == 0\n        assert result[\"knowledge_bases\"] == []\n\n    def test_all_success(self, mocker: MockerFixture, client: DataMateClient):\n        mocker.patch.object(\n            client, \"list_knowledge_bases\", return_value=[{\"id\": \"kb1\"}, {\"id\": \"kb2\"}]\n        )\n        mocker.patch.object(\n            client, \"get_knowledge_base_files\", side_effect=[[{\"id\": \"f1\"}], [{\"id\": \"f2\"}]]\n        )\n\n        result = client.sync_all_knowledge_bases()\n\n        assert result[\"success\"] is True\n        assert result[\"total_count\"] == 2\n        assert len(result[\"knowledge_bases\"][0][\"files\"]) == 1\n        assert len(result[\"knowledge_bases\"][1][\"files\"]) == 1\n        assert \"error\" not in result[\"knowledge_bases\"][0]\n        assert \"error\" not in result[\"knowledge_bases\"][1]\n\n    def test_with_authorization(self, mocker: MockerFixture, client: DataMateClient):\n        list_mock = mocker.patch.object(\n            client, \"list_knowledge_bases\", return_value=[{\"id\": \"kb1\"}]\n        )\n        files_mock = mocker.patch.object(\n            client, \"get_knowledge_base_files\", return_value=[{\"id\": \"f1\"}]\n        )\n\n        client.sync_all_knowledge_bases(authorization=\"Bearer token\")\n\n        list_mock.assert_called_once_with(authorization=\"Bearer token\")\n        files_mock.assert_called_once_with(\"kb1\", authorization=\"Bearer token\")\n\n\nclass TestClientInitialization:\n    \"\"\"Test DataMateClient initialization.\"\"\"\n\n    def test_default_timeout(self):\n        client = DataMateClient(base_url=\"http://test.com\")\n        assert client.timeout == 5.0\n\n    def test_custom_timeout(self):\n        client = DataMateClient(base_url=\"http://test.com\", timeout=5.0)\n        assert client.timeout == 5.0\n\n    def test_default_ssl_verification(self):\n        client = DataMateClient(base_url=\"http://test.com\")\n        assert client.verify_ssl is True\n\n    def test_custom_ssl_verification(self):\n        client_ssl_enabled = DataMateClient(base_url=\"http://test.com\", verify_ssl=True)\n        assert client_ssl_enabled.verify_ssl is True\n\n        client_ssl_disabled = DataMateClient(base_url=\"http://test.com\", verify_ssl=False)\n        assert client_ssl_disabled.verify_ssl is False\n\n    def test_base_url_stripping(self):\n        client = DataMateClient(base_url=\"http://test.com/\", timeout=1.0)\n        assert client.base_url == \"http://test.com\"\n        # Verify _build_url works correctly\n        assert client._build_url(\"/api/test\") == \"http://test.com/api/test\"\n\n\n"
  },
  {
    "path": "test/sdk/memory/test_memory_service.py",
    "content": "import sys\nimport types\nfrom typing import Any, Dict, List\n\nimport pytest\n\n\n# ---------------------------------------------------------------------------\n# Install lightweight stubs before importing the module under test to avoid\n# importing real heavy dependencies from memory_core/memory_utils.\n# ---------------------------------------------------------------------------\n\ndummy_memory_core = types.ModuleType(\"sdk.nexent.memory.memory_core\")\n\n\nasync def _default_get_memory_instance(_: Dict[str, Any]):\n    class _Noop:\n        async def add(self, *args, **kwargs):\n            return {\"results\": []}\n\n        async def search(self, *args, **kwargs):\n            return {\"results\": []}\n\n        async def get_all(self, *args, **kwargs):\n            return {\"results\": []}\n\n        async def delete(self, *args, **kwargs):\n            return {\"ok\": True}\n\n        async def reset(self, *args, **kwargs):\n            return None\n\n    return _Noop()\n\n\nsetattr(dummy_memory_core, \"get_memory_instance\", _default_get_memory_instance)\n\ndummy_memory_utils = types.ModuleType(\"sdk.nexent.memory.memory_utils\")\n\n\ndef _build_memory_identifiers(*, memory_level: str, user_id: str, tenant_id: str) -> str:  # noqa: ARG001\n    # Keep it simple for tests; only shape matters for callers.\n    return f\"mem:{tenant_id}/{user_id}:{memory_level}\"\n\n\nsetattr(dummy_memory_utils, \"build_memory_identifiers\", _build_memory_identifiers)\n\nsys.modules.setdefault(\"sdk.nexent.memory.memory_core\", dummy_memory_core)\nsys.modules.setdefault(\"sdk.nexent.memory.memory_utils\", dummy_memory_utils)\n\n\nfrom sdk.nexent.memory import memory_service  # noqa: E402  (import after stubs)\n\n\n# ---------------------------------------------------------------------------\n# Helpers\n# ---------------------------------------------------------------------------\n\n\nclass DummyMemory:\n    def __init__(self, config: Dict[str, Any] | None = None):\n        self.config = config or {}\n        self.calls: Dict[str, List[Dict[str, Any]]] = {\n            \"add\": [],\n            \"search\": [],\n            \"get_all\": [],\n            \"delete\": [],\n            \"reset\": [],\n        }\n\n    async def add(self, messages, *, user_id=None, agent_id=None, infer=True):  # noqa: ANN001\n        self.calls[\"add\"].append({\n            \"messages\": messages,\n            \"user_id\": user_id,\n            \"agent_id\": agent_id,\n            \"infer\": infer,\n        })\n        results = self.config.get(\"add_results\", [\n            {\"id\": \"1\", \"memory\": \"m1\", \"event\": \"ADD\"},\n        ])\n        return {\"results\": results}\n\n    async def search(self, *, query, limit, threshold, user_id, agent_id=None):  # noqa: ANN001\n        self.calls[\"search\"].append({\n            \"query\": query,\n            \"limit\": limit,\n            \"threshold\": threshold,\n            \"user_id\": user_id,\n            \"agent_id\": agent_id,\n        })\n        results: Any = self.config.get(\"search_results\", [\n            {\"id\": \"1\", \"memory\": \"m1\", \"score\": 0.9, \"agent_id\": agent_id},\n            {\"id\": \"2\", \"memory\": \"m2\", \"score\": 0.7},\n        ])\n        if self.config.get(\"search_results_are_coroutine\"):\n            async def _coro():\n                return results\n\n            return {\"results\": _coro()}\n        return {\"results\": results}\n\n    async def get_all(self, *, user_id, agent_id=None):  # noqa: ANN001\n        self.calls[\"get_all\"].append({\"user_id\": user_id, \"agent_id\": agent_id})\n        results: Any = self.config.get(\"all_results\", [\n            {\"id\": \"1\", \"memory\": \"m1\"},\n            {\"id\": \"2\", \"memory\": \"m2\", \"agent_id\": agent_id or \"a\"},\n        ])\n        if self.config.get(\"all_results_are_coroutine\"):\n            async def _coro():\n                return results\n\n            return {\"results\": _coro()}\n        return {\"results\": results}\n\n    async def delete(self, *, memory_id):  # noqa: ANN001\n        self.calls[\"delete\"].append({\"memory_id\": memory_id})\n        fail_ids = set(self.config.get(\"delete_fail_ids\", []))\n        if memory_id in fail_ids:\n            raise RuntimeError(\"delete failed\")\n        return {\"ok\": True}\n\n    async def reset(self):  # noqa: D401\n        \"\"\"Simulate reset operation.\"\"\"\n        self.calls[\"reset\"].append({})\n        if self.config.get(\"reset_raises\"):\n            raise RuntimeError(\"boom\")\n        return None\n\n\nasync def _return_dummy_memory(config: Dict[str, Any] | None = None):\n    return DummyMemory(config)\n\n\n# ---------------------------------------------------------------------------\n# Tests for add_memory\n# ---------------------------------------------------------------------------\n\n\n@pytest.mark.asyncio\nasync def test_add_memory_user_and_agent_paths(monkeypatch):\n    mem = DummyMemory()\n\n    async def _gm(_: Dict[str, Any]):\n        return mem\n\n    monkeypatch.setattr(memory_service, \"get_memory_instance\", _gm)\n\n    # user level (no agent_id)\n    res_user = await memory_service.add_memory(\n        messages=[{\"role\": \"user\", \"content\": \"hi\"}],\n        memory_level=\"user\",\n        memory_config={},\n        tenant_id=\"t1\",\n        user_id=\"u1\",\n        agent_id=None,\n        infer=True,\n    )\n    assert res_user[\"results\"][0][\"event\"] == \"ADD\"\n    assert mem.calls[\"add\"][0][\"agent_id\"] is None\n\n    # agent level (agent_id included)\n    res_agent = await memory_service.add_memory(\n        messages=\"hello\",\n        memory_level=\"agent\",\n        memory_config={},\n        tenant_id=\"t1\",\n        user_id=\"u1\",\n        agent_id=\"a1\",\n        infer=True,\n    )\n    assert res_agent[\"results\"][0][\"event\"] == \"ADD\"\n    assert mem.calls[\"add\"][1][\"agent_id\"] == \"a1\"\n\n\n@pytest.mark.asyncio\nasync def test_add_memory_invalid_level(monkeypatch):\n    monkeypatch.setattr(memory_service, \"get_memory_instance\", _return_dummy_memory)\n    with pytest.raises(ValueError):\n        await memory_service.add_memory(\n            messages=\"hi\",\n            memory_level=\"wrong\",\n            memory_config={},\n            tenant_id=\"t1\",\n            user_id=\"u1\",\n        )\n\n\n# ---------------------------------------------------------------------------\n# Tests for add_memory_in_levels\n# ---------------------------------------------------------------------------\n\n\n@pytest.mark.asyncio\nasync def test_add_memory_in_levels_merge_priority(monkeypatch):\n    # Simulate overlapping ids across levels; higher priority event should win.\n    # Priority: DELETE > ADD > UPDATE > NONE\n    async def _fake_add(messages, memory_level, memory_config, tenant_id, user_id, agent_id, infer):  # noqa: ARG001\n        mapping = {\n            \"agent\": [{\"id\": \"X\", \"memory\": \"m\", \"event\": \"ADD\"}],\n            \"user_agent\": [{\"id\": \"X\", \"memory\": \"m\", \"event\": \"DELETE\"}],\n            \"user\": [{\"id\": \"Y\", \"memory\": \"m2\", \"event\": \"UPDATE\"}],\n            \"tenant\": [{\"id\": \"Y\", \"memory\": \"m2\", \"event\": \"NONE\"}],\n        }\n        return {\"results\": mapping.get(memory_level, [])}\n\n    monkeypatch.setattr(memory_service, \"add_memory\", _fake_add)\n\n    out = await memory_service.add_memory_in_levels(\n        messages=\"hi\",\n        memory_config={},\n        tenant_id=\"t1\",\n        user_id=\"u1\",\n        agent_id=\"a1\",\n        memory_levels=[\"agent\", \"user_agent\", \"tenant\", \"user\"],\n    )\n\n    results = {item[\"id\"]: item[\"event\"] for item in out[\"results\"]}\n    # For id X, DELETE should override ADD\n    assert results[\"X\"] == \"DELETE\"\n    # For id Y, UPDATE should override NONE\n    assert results[\"Y\"] == \"UPDATE\"\n\n\n# ---------------------------------------------------------------------------\n# Tests for search_memory and search_memory_in_levels\n# ---------------------------------------------------------------------------\n\n\n@pytest.mark.asyncio\nasync def test_search_memory_filters_and_coroutine_results(monkeypatch):\n    mem = DummyMemory({\n        \"search_results\": [\n            {\"id\": \"1\", \"memory\": \"u\", \"score\": 0.9},\n            {\"id\": \"2\", \"memory\": \"a\", \"score\": 0.8, \"agent_id\": \"a1\"},\n        ],\n        \"search_results_are_coroutine\": True,\n    })\n\n    async def _gm(_: Dict[str, Any]):\n        return mem\n\n    monkeypatch.setattr(memory_service, \"get_memory_instance\", _gm)\n\n    # user level should filter out agent memories\n    res_user = await memory_service.search_memory(\n        query_text=\"q\",\n        memory_level=\"user\",\n        memory_config={},\n        tenant_id=\"t1\",\n        user_id=\"u1\",\n        top_k=3,\n        threshold=0.5,\n    )\n    assert all(\"agent_id\" not in r for r in res_user[\"results\"])  # filtered\n\n    # agent level should keep only agent memories\n    res_agent = await memory_service.search_memory(\n        query_text=\"q\",\n        memory_level=\"agent\",\n        memory_config={},\n        tenant_id=\"t1\",\n        user_id=\"u1\",\n        agent_id=\"a1\",\n    )\n    assert all(\"agent_id\" in r for r in res_agent[\"results\"])  # filtered\n\n\n@pytest.mark.asyncio\nasync def test_search_memory_invalid_level(monkeypatch):\n    monkeypatch.setattr(memory_service, \"get_memory_instance\", _return_dummy_memory)\n    with pytest.raises(ValueError):\n        await memory_service.search_memory(\n            query_text=\"q\",\n            memory_level=\"bad\",\n            memory_config={},\n            tenant_id=\"t1\",\n            user_id=\"u1\",\n        )\n\n\n@pytest.mark.asyncio\nasync def test_search_memory_in_levels_aggregates_and_order(monkeypatch):\n    async def _fake_search(query_text, memory_level, memory_config, tenant_id, user_id, agent_id, top_k, threshold):  # noqa: ARG001\n        return {\"results\": [\n            {\"id\": f\"{memory_level}-1\", \"memory\": \"m\", \"score\": 0.9},\n        ]}\n\n    monkeypatch.setattr(memory_service, \"search_memory\", _fake_search)\n\n    levels = [\"tenant\", \"user\", \"agent\", \"user_agent\"]\n    out = await memory_service.search_memory_in_levels(\n        query_text=\"q\",\n        memory_config={},\n        tenant_id=\"t1\",\n        user_id=\"u1\",\n        agent_id=\"a1\",\n        top_k=2,\n        threshold=0.6,\n        memory_levels=levels,\n    )\n    # Ensure each level contributes one result and order preserved\n    got_levels = [r[\"memory_level\"] for r in out[\"results\"]]\n    assert got_levels == levels\n\n\n# ---------------------------------------------------------------------------\n# Tests for list_memory\n# ---------------------------------------------------------------------------\n\n\n@pytest.mark.asyncio\nasync def test_list_memory_filters_and_counts(monkeypatch):\n    mem = DummyMemory({\n        \"all_results\": [\n            {\"id\": \"1\", \"memory\": \"m\"},  # no agent_id\n            {\"id\": \"2\", \"memory\": \"a\", \"agent_id\": \"a1\"},\n            {\"id\": \"3\", \"memory\": \"m3\"},\n        ],\n        \"all_results_are_coroutine\": True,\n    })\n\n    async def _gm(_: Dict[str, Any]):\n        return mem\n\n    monkeypatch.setattr(memory_service, \"get_memory_instance\", _gm)\n\n    # tenant level -> only items without agent_id\n    out_tenant = await memory_service.list_memory(\n        memory_level=\"tenant\",\n        memory_config={},\n        tenant_id=\"t1\",\n        user_id=\"u1\",\n    )\n    assert out_tenant[\"total\"] == 2\n    assert all(\"agent_id\" not in r for r in out_tenant[\"items\"])\n\n    # agent level -> only items with agent_id\n    out_agent = await memory_service.list_memory(\n        memory_level=\"agent\",\n        memory_config={},\n        tenant_id=\"t1\",\n        user_id=\"u1\",\n        agent_id=\"a1\",\n    )\n    assert out_agent[\"total\"] == 1\n    assert all(\"agent_id\" in r for r in out_agent[\"items\"])\n\n\n# ---------------------------------------------------------------------------\n# Tests for delete_memory\n# ---------------------------------------------------------------------------\n\n\n@pytest.mark.asyncio\nasync def test_delete_memory_success(monkeypatch):\n    mem = DummyMemory()\n\n    async def _gm(_: Dict[str, Any]):\n        return mem\n\n    monkeypatch.setattr(memory_service, \"get_memory_instance\", _gm)\n\n    res = await memory_service.delete_memory(\"X\", memory_config={})\n    assert res[\"ok\"] is True\n    assert mem.calls[\"delete\"][0][\"memory_id\"] == \"X\"\n\n\n@pytest.mark.asyncio\nasync def test_delete_memory_unsupported(monkeypatch):\n    class NoDelete:\n        async def reset(self):  # pragma: no cover - not used here\n            return None\n\n    async def _gm(_: Dict[str, Any]):\n        return NoDelete()\n\n    monkeypatch.setattr(memory_service, \"get_memory_instance\", _gm)\n\n    with pytest.raises(AttributeError):\n        await memory_service.delete_memory(\"X\", memory_config={})\n\n\n# ---------------------------------------------------------------------------\n# Tests for clear_memory\n# ---------------------------------------------------------------------------\n\n\n@pytest.mark.asyncio\nasync def test_clear_memory_counts_and_failures(monkeypatch):\n    mem = DummyMemory({\n        \"all_results\": [\n            {\"id\": \"1\", \"memory\": \"m\"},\n            {\"id\": \"2\", \"memory\": \"a\", \"agent_id\": \"a1\"},\n            {\"id\": \"3\", \"memory\": \"m3\"},\n        ],\n        \"delete_fail_ids\": {\"3\"},\n    })\n\n    async def _gm(_: Dict[str, Any]):\n        return mem\n\n    monkeypatch.setattr(memory_service, \"get_memory_instance\", _gm)\n\n    # tenant level: should attempt to delete ids 1 and 3, with 3 failing\n    out = await memory_service.clear_memory(\n        memory_level=\"tenant\",\n        memory_config={},\n        tenant_id=\"t1\",\n        user_id=\"u1\",\n    )\n    assert out == {\"deleted_count\": 1, \"total_count\": 2}\n\n\n# ---------------------------------------------------------------------------\n# Tests for reset_all_memory\n# ---------------------------------------------------------------------------\n\n\n@pytest.mark.asyncio\nasync def test_reset_all_memory_success_and_failure(monkeypatch):\n    ok_mem = DummyMemory()\n    bad_mem = DummyMemory({\"reset_raises\": True})\n\n    async def _gm_ok(_: Dict[str, Any]):\n        return ok_mem\n\n    async def _gm_bad(_: Dict[str, Any]):\n        return bad_mem\n\n    monkeypatch.setattr(memory_service, \"get_memory_instance\", _gm_ok)\n    assert await memory_service.reset_all_memory({}) is True\n\n    monkeypatch.setattr(memory_service, \"get_memory_instance\", _gm_bad)\n    assert await memory_service.reset_all_memory({}) is False\n\n\n# ---------------------------------------------------------------------------\n# Tests for _filter_by_memory_level\n# ---------------------------------------------------------------------------\n\n\ndef test_filter_by_memory_level_variants():\n    data = [\n        {\"id\": \"1\"},\n        {\"id\": \"2\", \"agent_id\": \"a1\"},\n    ]\n    assert memory_service._filter_by_memory_level(\"tenant\", data) == [{\"id\": \"1\"}]\n    assert memory_service._filter_by_memory_level(\"user\", data) == [{\"id\": \"1\"}]\n    assert memory_service._filter_by_memory_level(\"agent\", data) == [{\"id\": \"2\", \"agent_id\": \"a1\"}]\n    assert memory_service._filter_by_memory_level(\"user_agent\", data) == [{\"id\": \"2\", \"agent_id\": \"a1\"}]\n\n    with pytest.raises(ValueError):\n        memory_service._filter_by_memory_level(\"bad\", data)\n\n\n# ---------------------------------------------------------------------------\n# Additional coverage for error paths and clear_model_memories\n# ---------------------------------------------------------------------------\n\n\n@pytest.mark.asyncio\nasync def test_add_memory_in_levels_ignores_failing_levels(monkeypatch):\n    async def _fake_add(messages, memory_level, memory_config, tenant_id, user_id, agent_id, infer):  # noqa: ARG001\n        if memory_level == \"agent\":\n            raise RuntimeError(\"boom\")\n        return {\"results\": [{\"id\": memory_level, \"event\": \"ADD\"}]}\n\n    monkeypatch.setattr(memory_service, \"add_memory\", _fake_add)\n\n    out = await memory_service.add_memory_in_levels(\n        messages=\"hi\",\n        memory_config={},\n        tenant_id=\"t1\",\n        user_id=\"u1\",\n        agent_id=\"a1\",\n        memory_levels=[\"agent\", \"user\"],\n    )\n    # agent failed and returns [], user succeeded\n    assert [r[\"id\"] for r in out[\"results\"]] == [\"user\"]\n\n\n@pytest.mark.asyncio\nasync def test_search_memory_in_levels_ignores_failing_levels_and_preserves_order(monkeypatch):\n    async def _fake_search(query_text, memory_level, memory_config, tenant_id, user_id, agent_id, top_k, threshold):  # noqa: ARG001\n        if memory_level == \"user\":\n            raise RuntimeError(\"fail user\")\n        return {\"results\": [{\"id\": f\"ok-{memory_level}\", \"memory\": \"m\", \"score\": 0.9}]}\n\n    monkeypatch.setattr(memory_service, \"search_memory\", _fake_search)\n\n    levels = [\"tenant\", \"user\", \"agent\"]\n    out = await memory_service.search_memory_in_levels(\n        query_text=\"q\",\n        memory_config={},\n        tenant_id=\"t1\",\n        user_id=\"u1\",\n        agent_id=\"a1\",\n        top_k=2,\n        threshold=0.6,\n        memory_levels=levels,\n    )\n    # Only tenant and agent appear, in their relative order\n    got_ids = [r[\"id\"] for r in out[\"results\"]]\n    assert got_ids == [\"ok-tenant\", \"ok-agent\"]\n\n\n@pytest.mark.asyncio\nasync def test_list_memory_non_coroutine_results(monkeypatch):\n    class Mem:\n        async def get_all(self, *, user_id, agent_id=None):  # noqa: ANN001\n            return {\"results\": [\n                {\"id\": \"1\", \"memory\": \"x\"},\n                {\"id\": \"2\", \"memory\": \"a\", \"agent_id\": agent_id or \"a1\"},\n            ]}\n\n    async def _gm(_: Dict[str, Any]):\n        return Mem()\n\n    monkeypatch.setattr(memory_service, \"get_memory_instance\", _gm)\n\n    # user level -> only items without agent_id\n    out = await memory_service.list_memory(\n        memory_level=\"user\",\n        memory_config={},\n        tenant_id=\"t1\",\n        user_id=\"u1\",\n    )\n    assert out == {\"items\": [{\"id\": \"1\", \"memory\": \"x\"}], \"total\": 1}\n\n\n# ---------------------------- clear_model_memories ---------------------------\n\n\nclass _DummyESCore:\n    def __init__(self, exists_behavior=None, delete_raises=False):\n        if exists_behavior is None:\n            def exists_behavior(index):  # noqa: ANN001\n                return True\n        self._exists_behavior = exists_behavior\n        indices = types.SimpleNamespace(exists=self._exists_behavior)\n        self.client = types.SimpleNamespace(indices=indices)\n        self._delete_raises = delete_raises\n        self.deleted = []\n\n    def delete_index(self, index_name: str):\n        self.deleted.append(index_name)\n        if self._delete_raises:\n            raise RuntimeError(\"delete failed\")\n\n\n@pytest.mark.asyncio\nasync def test_clear_model_memories_early_exit_when_index_missing(monkeypatch):\n    es = _DummyESCore(exists_behavior=lambda index: False)\n\n    # Ensure reset is not called when index missing\n    called = {\"reset\": False}\n\n    async def _reset(cfg):  # noqa: ANN001\n        called[\"reset\"] = True\n        return True\n\n    monkeypatch.setattr(memory_service, \"reset_all_memory\", _reset)\n\n    ok = await memory_service.clear_model_memories(\n        vdb_core=es,\n        model_repo=\"jina-ai\",\n        model_name=\"jina-embeddings-v2-base-en\",\n        embedding_dims=768,\n        base_memory_config={\"vector_store\": {\n            \"config\": {}}, \"embedder\": {\"config\": {}}},\n    )\n    assert ok is True\n    assert called[\"reset\"] is False\n    assert es.deleted == []\n\n\n@pytest.mark.asyncio\nasync def test_clear_model_memories_success_and_config_adjustment_with_repo(monkeypatch):\n    es = _DummyESCore(exists_behavior=lambda index: True)\n    seen_config: Dict[str, Any] = {}\n\n    async def _reset(cfg):  # noqa: ANN001\n        seen_config.update(cfg)\n        return True\n\n    monkeypatch.setattr(memory_service, \"reset_all_memory\", _reset)\n\n    ok = await memory_service.clear_model_memories(\n        vdb_core=es,\n        model_repo=\"jina-ai\",\n        model_name=\"jina-embeddings-v2-base-en\",\n        embedding_dims=1024,\n        base_memory_config={\n            \"vector_store\": {\"config\": {\"collection_name\": \"ignored\", \"embedding_model_dims\": 0}},\n            \"embedder\": {\"config\": {\"embedding_dims\": 0}},\n        },\n    )\n    assert ok is True\n\n    # Index name should include repo and dims\n    assert es.deleted == [\"mem0_jina-ai_jina-embeddings-v2-base-en_1024\"]\n    # Config passed to reset should be adjusted (without mutating base)\n    assert seen_config[\"vector_store\"][\"config\"][\"collection_name\"] == \"mem0_jina-ai_jina-embeddings-v2-base-en_1024\"\n    assert seen_config[\"vector_store\"][\"config\"][\"embedding_model_dims\"] == 1024\n    assert seen_config[\"embedder\"][\"config\"][\"embedding_dims\"] == 1024\n\n\n@pytest.mark.asyncio\nasync def test_clear_model_memories_handles_es_exists_exception(monkeypatch):\n    def _exists_raises(index):  # noqa: ANN001\n        raise RuntimeError(\"exists failed\")\n\n    es = _DummyESCore(exists_behavior=_exists_raises)\n\n    # reset is called despite exists() failing\n    called = {\"reset\": 0}\n\n    async def _reset(cfg):  # noqa: ANN001\n        called[\"reset\"] += 1\n        return True\n\n    monkeypatch.setattr(memory_service, \"reset_all_memory\", _reset)\n\n    ok = await memory_service.clear_model_memories(\n        vdb_core=es,\n        model_repo=\"\",\n        model_name=\"m\",\n        embedding_dims=128,\n        base_memory_config={\"vector_store\": {\n            \"config\": {}}, \"embedder\": {\"config\": {}}},\n    )\n    assert ok is True\n    assert called[\"reset\"] == 1\n    assert es.deleted == [\"mem0_m_128\"]\n\n\n@pytest.mark.asyncio\nasync def test_clear_model_memories_swallow_failures_and_no_repo(monkeypatch):\n    es = _DummyESCore(exists_behavior=lambda index: True, delete_raises=True)\n\n    async def _reset(_: Dict[str, Any]):\n        raise RuntimeError(\"reset failed\")\n\n    monkeypatch.setattr(memory_service, \"reset_all_memory\", _reset)\n\n    ok = await memory_service.clear_model_memories(\n        vdb_core=es,\n        model_repo=None,\n        model_name=\"Model\",\n        embedding_dims=256,\n        base_memory_config={\"vector_store\": {\n            \"config\": {}}, \"embedder\": {\"config\": {}}},\n    )\n    # Even with reset and delete failures, function reports best-effort True\n    assert ok is True\n    assert es.deleted == [\"mem0_model_256\"]\n\n\n@pytest.mark.asyncio\nasync def test_clear_model_memories_invalid_model_name():\n    es = _DummyESCore(exists_behavior=lambda index: True)\n    ok = await memory_service.clear_model_memories(\n        vdb_core=es,\n        model_repo=\"any\",\n        model_name=\"\",\n        embedding_dims=512,\n        base_memory_config={\"vector_store\": {\n            \"config\": {}}, \"embedder\": {\"config\": {}}},\n    )\n    assert ok is False\n"
  },
  {
    "path": "test/sdk/monitor/__init__.py",
    "content": "\"\"\"\nTest package for SDK monitoring module.\n\"\"\"\n"
  },
  {
    "path": "test/sdk/monitor/conftest.py",
    "content": "\"\"\"\nTest configuration for SDK monitoring module.\n\nThis conftest.py ensures OpenTelemetry is properly mocked BEFORE any test\nmodules are imported. This is critical because the monitoring module uses\nbinding imports (e.g., `from opentelemetry import trace`) which bind the\nimported objects at module load time.\n\"\"\"\n\nimport sys\nfrom unittest.mock import MagicMock\n\n\ndef pytest_configure(config):\n    \"\"\"\n    Configure OpenTelemetry mocks before any test modules are collected.\n\n    This runs at the very beginning of pytest execution, before test\n    collection. We mock the entire OpenTelemetry package tree in sys.modules\n    so that when monitoring.py is imported, it sees the mock objects.\n    \"\"\"\n    # Create mock modules for OpenTelemetry\n    mock_opentelemetry = MagicMock()\n    mock_opentelemetry.trace = MagicMock()\n    mock_opentelemetry.metrics = MagicMock()\n    mock_opentelemetry.trace.status = MagicMock()\n    mock_opentelemetry.exporter = MagicMock()\n    mock_opentelemetry.exporter.prometheus = MagicMock()\n    mock_opentelemetry.exporter.jaeger = MagicMock()\n    mock_opentelemetry.exporter.jaeger.thrift = MagicMock()\n    mock_opentelemetry.sdk = MagicMock()\n    mock_opentelemetry.sdk.metrics = MagicMock()\n    mock_opentelemetry.sdk.trace = MagicMock()\n    mock_opentelemetry.sdk.trace.export = MagicMock()\n    mock_opentelemetry.sdk.resources = MagicMock()\n    mock_opentelemetry.instrumentation = MagicMock()\n    mock_opentelemetry.instrumentation.requests = MagicMock()\n    mock_opentelemetry.instrumentation.fastapi = MagicMock()\n\n    # Insert mocks into sys.modules BEFORE any imports\n    modules_to_mock = {\n        'opentelemetry': mock_opentelemetry,\n        'opentelemetry.trace': mock_opentelemetry.trace,\n        'opentelemetry.metrics': mock_opentelemetry.metrics,\n        'opentelemetry.trace.status': mock_opentelemetry.trace.status,\n        'opentelemetry.exporter': mock_opentelemetry.exporter,\n        'opentelemetry.exporter.prometheus': mock_opentelemetry.exporter.prometheus,\n        'opentelemetry.exporter.jaeger': mock_opentelemetry.exporter.jaeger,\n        'opentelemetry.exporter.jaeger.thrift': mock_opentelemetry.exporter.jaeger.thrift,\n        'opentelemetry.sdk': mock_opentelemetry.sdk,\n        'opentelemetry.sdk.metrics': mock_opentelemetry.sdk.metrics,\n        'opentelemetry.sdk.trace': mock_opentelemetry.sdk.trace,\n        'opentelemetry.sdk.trace.export': mock_opentelemetry.sdk.trace.export,\n        'opentelemetry.sdk.resources': mock_opentelemetry.sdk.resources,\n        'opentelemetry.instrumentation': mock_opentelemetry.instrumentation,\n        'opentelemetry.instrumentation.requests': mock_opentelemetry.instrumentation.requests,\n        'opentelemetry.instrumentation.fastapi': mock_opentelemetry.instrumentation.fastapi,\n    }\n\n    # Store original modules for cleanup\n    original_modules = {}\n    for module_name in modules_to_mock:\n        if module_name in sys.modules:\n            original_modules[module_name] = sys.modules[module_name]\n        sys.modules[module_name] = modules_to_mock[module_name]\n\n    # Store for cleanup in pytest_unconfigure\n    config._mocked_otel_modules = original_modules\n\n\ndef pytest_unconfigure(config):\n    \"\"\"\n    Restore original OpenTelemetry modules after tests complete.\n    \"\"\"\n    if hasattr(config, '_mocked_otel_modules'):\n        for module_name, original_module in config._mocked_otel_modules.items():\n            sys.modules[module_name] = original_module\n\n"
  },
  {
    "path": "test/sdk/monitor/test_monitoring.py",
    "content": "\"\"\"\nComprehensive unit tests for SDK monitoring module.\n\nTests cover:\n- MonitoringConfig dataclass\n- MonitoringManager singleton behavior\n- Telemetry initialization and configuration\n- LLM request tracing and metrics\n- Token tracking and performance metrics\n- Decorator functionality for endpoint and LLM monitoring\n- Error handling and edge cases\n\"\"\"\n\nfrom sdk.nexent.monitor.monitoring import (\n    MonitoringConfig,\n    MonitoringManager,\n    LLMTokenTracker,\n    get_monitoring_manager\n)\nimport pytest\nimport asyncio\nfrom unittest.mock import Mock, MagicMock, patch\n\n\nclass TestMonitoringConfig:\n    \"\"\"Test MonitoringConfig dataclass.\"\"\"\n\n    def test_default_config(self):\n        \"\"\"Test default configuration values.\"\"\"\n        config = MonitoringConfig()\n\n        assert config.enable_telemetry is False\n        assert config.service_name == \"nexent-sdk\"\n        assert config.jaeger_endpoint == \"http://localhost:14268/api/traces\"\n        assert config.prometheus_port == 8000\n        assert config.telemetry_sample_rate == 1.0\n        assert config.llm_slow_request_threshold_seconds == 5.0\n        assert config.llm_slow_token_rate_threshold == 10.0\n\n    def test_custom_config(self):\n        \"\"\"Test configuration with custom values.\"\"\"\n        config = MonitoringConfig(\n            enable_telemetry=True,\n            service_name=\"test-service\",\n            jaeger_endpoint=\"http://test:14268/api/traces\",\n            prometheus_port=9000,\n            telemetry_sample_rate=0.5,\n            llm_slow_request_threshold_seconds=10.0,\n            llm_slow_token_rate_threshold=20.0\n        )\n\n        assert config.enable_telemetry is True\n        assert config.service_name == \"test-service\"\n        assert config.jaeger_endpoint == \"http://test:14268/api/traces\"\n        assert config.prometheus_port == 9000\n        assert config.telemetry_sample_rate == 0.5\n        assert config.llm_slow_request_threshold_seconds == 10.0\n        assert config.llm_slow_token_rate_threshold == 20.0\n\n\nclass TestMonitoringManager:\n    \"\"\"Test MonitoringManager singleton and core functionality.\"\"\"\n\n    def setup_method(self):\n        \"\"\"Reset singleton state before each test.\"\"\"\n        MonitoringManager._instance = None\n        MonitoringManager._initialized = False\n\n    def test_singleton_behavior(self):\n        \"\"\"Test that MonitoringManager is a proper singleton.\"\"\"\n        manager1 = MonitoringManager()\n        manager2 = MonitoringManager()\n\n        assert manager1 is manager2\n        assert id(manager1) == id(manager2)\n\n    def test_initialization_only_once(self):\n        \"\"\"Test that initialization only happens once.\"\"\"\n        manager1 = MonitoringManager()\n        original_config = manager1._config\n\n        manager2 = MonitoringManager()\n        assert manager2._config is original_config\n\n    def test_configure_disabled_telemetry(self):\n        \"\"\"Test configuration with telemetry disabled.\"\"\"\n        manager = MonitoringManager()\n        config = MonitoringConfig(enable_telemetry=False)\n\n        with patch.object(manager, '_init_telemetry') as mock_init:\n            manager.configure(config)\n\n            assert manager._config is config\n            mock_init.assert_not_called()\n\n    def test_configure_enabled_telemetry(self):\n        \"\"\"Test configuration with telemetry enabled.\"\"\"\n        manager = MonitoringManager()\n        config = MonitoringConfig(enable_telemetry=True)\n\n        with patch.object(manager, '_init_telemetry') as mock_init:\n            manager.configure(config)\n\n            assert manager._config is config\n            mock_init.assert_called_once()\n\n    def test_is_enabled_property(self):\n        \"\"\"Test is_enabled property behavior.\"\"\"\n        manager = MonitoringManager()\n\n        # No config set\n        assert manager.is_enabled is False\n\n        # Config with telemetry disabled\n        config_disabled = MonitoringConfig(enable_telemetry=False)\n        manager.configure(config_disabled)\n        assert manager.is_enabled is False\n\n        # Config with telemetry enabled\n        config_enabled = MonitoringConfig(enable_telemetry=True)\n        manager.configure(config_enabled)\n        assert manager.is_enabled is True\n\n    @patch('sdk.nexent.monitor.monitoring.trace')\n    @patch('sdk.nexent.monitor.monitoring.metrics')\n    @patch('sdk.nexent.monitor.monitoring.TracerProvider')\n    @patch('sdk.nexent.monitor.monitoring.MeterProvider')\n    @patch('sdk.nexent.monitor.monitoring.JaegerExporter')\n    @patch('sdk.nexent.monitor.monitoring.BatchSpanProcessor')\n    @patch('sdk.nexent.monitor.monitoring.PrometheusMetricReader')\n    @patch('sdk.nexent.monitor.monitoring.Resource')\n    @patch('sdk.nexent.monitor.monitoring.RequestsInstrumentor')\n    def test_init_telemetry_success(self, mock_requests_instr, mock_resource,\n                                    mock_prometheus, mock_batch_processor,\n                                    mock_jaeger, mock_meter_provider,\n                                    mock_tracer_provider, mock_metrics, mock_trace):\n        \"\"\"Test successful telemetry initialization.\"\"\"\n        manager = MonitoringManager()\n        config = MonitoringConfig(\n            enable_telemetry=True,\n            service_name=\"test-service\",\n            jaeger_endpoint=\"http://test:14268/api/traces\"\n        )\n\n        # Mock return values\n        mock_resource_instance = MagicMock()\n        mock_resource.create.return_value = mock_resource_instance\n\n        mock_tracer_provider_instance = MagicMock()\n        mock_tracer_provider.return_value = mock_tracer_provider_instance\n\n        mock_meter_provider_instance = MagicMock()\n        mock_meter_provider.return_value = mock_meter_provider_instance\n\n        mock_tracer = MagicMock()\n        mock_trace.get_tracer.return_value = mock_tracer\n\n        mock_meter = MagicMock()\n        mock_metrics.get_meter.return_value = mock_meter\n\n        # Configure will call _init_telemetry internally\n        manager.configure(config)\n\n        # Verify resource creation (called once during configure)\n        mock_resource.create.assert_called_with({\n            \"service.name\": \"test-service\",\n            \"service.version\": \"1.0.0\",\n            \"service.instance.id\": \"nexent-instance-1\"\n        })\n\n        # Verify tracer provider setup\n        mock_tracer_provider.assert_called_once_with(\n            resource=mock_resource_instance)\n        mock_trace.set_tracer_provider.assert_called_once_with(\n            mock_tracer_provider_instance)\n\n        # Verify metrics setup\n        mock_meter_provider.assert_called_once()\n        mock_metrics.set_meter_provider.assert_called_once()\n\n        # Verify instrumentation\n        mock_requests_instr().instrument.assert_called_once()\n\n    def test_init_telemetry_disabled(self):\n        \"\"\"Test telemetry initialization when disabled.\"\"\"\n        manager = MonitoringManager()\n        config = MonitoringConfig(enable_telemetry=False)\n        manager.configure(config)\n\n        with patch('sdk.nexent.monitor.monitoring.trace') as mock_trace:\n            manager._init_telemetry()\n            mock_trace.set_tracer_provider.assert_not_called()\n\n    def test_init_telemetry_no_config(self):\n        \"\"\"Test telemetry initialization with no config.\"\"\"\n        manager = MonitoringManager()\n\n        with patch('sdk.nexent.monitor.monitoring.trace') as mock_trace:\n            manager._init_telemetry()\n            mock_trace.set_tracer_provider.assert_not_called()\n\n    def test_init_telemetry_exception_handling(self):\n        \"\"\"Test telemetry initialization with exceptions.\"\"\"\n        manager = MonitoringManager()\n        config = MonitoringConfig(enable_telemetry=True)\n        manager.configure(config)\n\n        with patch('sdk.nexent.monitor.monitoring.TracerProvider', side_effect=Exception(\"Test error\")):\n            with patch('sdk.nexent.monitor.monitoring.logger') as mock_logger:\n                manager._init_telemetry()\n                mock_logger.error.assert_called_once()\n\n    def test_setup_fastapi_app_enabled(self):\n        \"\"\"Test FastAPI app setup when monitoring is enabled.\"\"\"\n        manager = MonitoringManager()\n        config = MonitoringConfig(enable_telemetry=True)\n        manager.configure(config)\n\n        mock_app = MagicMock()\n\n        with patch('sdk.nexent.monitor.monitoring.FastAPIInstrumentor') as mock_instrumentor:\n            result = manager.setup_fastapi_app(mock_app)\n\n            assert result is True\n            mock_instrumentor.instrument_app.assert_called_once_with(mock_app)\n\n    def test_setup_fastapi_app_disabled(self):\n        \"\"\"Test FastAPI app setup when monitoring is disabled.\"\"\"\n        manager = MonitoringManager()\n        config = MonitoringConfig(enable_telemetry=False)\n        manager.configure(config)\n\n        mock_app = MagicMock()\n        result = manager.setup_fastapi_app(mock_app)\n\n        assert result is False\n\n    def test_setup_fastapi_app_no_app(self):\n        \"\"\"Test FastAPI app setup with None app.\"\"\"\n        manager = MonitoringManager()\n        config = MonitoringConfig(enable_telemetry=True)\n        manager.configure(config)\n\n        result = manager.setup_fastapi_app(None)\n        assert result is False\n\n    def test_setup_fastapi_app_exception(self):\n        \"\"\"Test FastAPI app setup with exception.\"\"\"\n        manager = MonitoringManager()\n        config = MonitoringConfig(enable_telemetry=True)\n        manager.configure(config)\n\n        mock_app = MagicMock()\n\n        with patch('sdk.nexent.monitor.monitoring.FastAPIInstrumentor') as mock_instrumentor:\n            mock_instrumentor.instrument_app.side_effect = Exception(\n                \"Test error\")\n\n            result = manager.setup_fastapi_app(mock_app)\n            assert result is False\n\n    @patch('sdk.nexent.monitor.monitoring.trace')\n    def test_trace_llm_request_enabled(self, mock_trace):\n        \"\"\"Test LLM request tracing when enabled.\"\"\"\n        manager = MonitoringManager()\n        config = MonitoringConfig(enable_telemetry=True)\n        manager.configure(config)\n        manager._tracer = MagicMock()\n\n        mock_span = MagicMock()\n        manager._tracer.start_as_current_span.return_value.__enter__ = Mock(\n            return_value=mock_span)\n        manager._tracer.start_as_current_span.return_value.__exit__ = Mock(\n            return_value=None)\n\n        with manager.trace_llm_request(\"test_op\", \"test_model\", param1=\"value1\") as span:\n            assert span is mock_span\n\n        manager._tracer.start_as_current_span.assert_called_once_with(\n            \"test_op\",\n            attributes={\n                \"llm.model_name\": \"test_model\",\n                \"llm.operation\": \"test_op\",\n                \"param1\": \"value1\"\n            }\n        )\n\n    def test_trace_llm_request_disabled(self):\n        \"\"\"Test LLM request tracing when disabled.\"\"\"\n        manager = MonitoringManager()\n        config = MonitoringConfig(enable_telemetry=False)\n        manager.configure(config)\n\n        with manager.trace_llm_request(\"test_op\", \"test_model\") as span:\n            assert span is None\n\n    def test_trace_llm_request_no_tracer(self):\n        \"\"\"Test LLM request tracing when tracer is None.\"\"\"\n        manager = MonitoringManager()\n        config = MonitoringConfig(enable_telemetry=True)\n        manager.configure(config)\n        manager._tracer = None\n\n        with manager.trace_llm_request(\"test_op\", \"test_model\") as span:\n            assert span is None\n\n    @patch('sdk.nexent.monitor.monitoring.trace')\n    def test_trace_llm_request_with_exception(self, mock_trace):\n        \"\"\"Test LLM request tracing with exception.\"\"\"\n        manager = MonitoringManager()\n        config = MonitoringConfig(enable_telemetry=True)\n        manager.configure(config)\n        manager._tracer = MagicMock()\n        manager._llm_error_count = MagicMock()\n\n        mock_span = MagicMock()\n        manager._tracer.start_as_current_span.return_value.__enter__ = Mock(\n            return_value=mock_span)\n        manager._tracer.start_as_current_span.return_value.__exit__ = Mock(\n            return_value=None)\n\n        test_error = ValueError(\"Test error\")\n\n        with pytest.raises(ValueError):\n            with manager.trace_llm_request(\"test_op\", \"test_model\") as span:\n                raise test_error\n\n        # Verify error handling\n        mock_span.set_status.assert_called_once()\n        manager._llm_error_count.add.assert_called_once_with(\n            1, {\"model\": \"test_model\", \"operation\": \"test_op\"}\n        )\n\n    @patch('sdk.nexent.monitor.monitoring.trace')\n    def test_get_current_span_enabled(self, mock_trace):\n        \"\"\"Test getting current span when enabled.\"\"\"\n        manager = MonitoringManager()\n        config = MonitoringConfig(enable_telemetry=True)\n        manager.configure(config)\n\n        mock_span = MagicMock()\n        mock_trace.get_current_span.return_value = mock_span\n\n        result = manager.get_current_span()\n        assert result is mock_span\n        mock_trace.get_current_span.assert_called_once()\n\n    def test_get_current_span_disabled(self):\n        \"\"\"Test getting current span when disabled.\"\"\"\n        manager = MonitoringManager()\n        config = MonitoringConfig(enable_telemetry=False)\n        manager.configure(config)\n\n        result = manager.get_current_span()\n        assert result is None\n\n    @patch('sdk.nexent.monitor.monitoring.trace')\n    def test_add_span_event_enabled(self, mock_trace):\n        \"\"\"Test adding span event when enabled.\"\"\"\n        manager = MonitoringManager()\n        config = MonitoringConfig(enable_telemetry=True)\n        manager.configure(config)\n\n        mock_span = MagicMock()\n        mock_trace.get_current_span.return_value = mock_span\n\n        manager.add_span_event(\"test_event\", {\"key\": \"value\"})\n\n        mock_span.add_event.assert_called_once_with(\n            \"test_event\", {\"key\": \"value\"})\n\n    @patch('sdk.nexent.monitor.monitoring.trace')\n    def test_add_span_event_no_attributes(self, mock_trace):\n        \"\"\"Test adding span event without attributes.\"\"\"\n        manager = MonitoringManager()\n        config = MonitoringConfig(enable_telemetry=True)\n        manager.configure(config)\n\n        mock_span = MagicMock()\n        mock_trace.get_current_span.return_value = mock_span\n\n        manager.add_span_event(\"test_event\")\n\n        mock_span.add_event.assert_called_once_with(\"test_event\", {})\n\n    def test_add_span_event_disabled(self):\n        \"\"\"Test adding span event when disabled.\"\"\"\n        manager = MonitoringManager()\n        config = MonitoringConfig(enable_telemetry=False)\n        manager.configure(config)\n\n        # Should not raise any exception\n        manager.add_span_event(\"test_event\", {\"key\": \"value\"})\n\n    @patch('sdk.nexent.monitor.monitoring.trace')\n    def test_add_span_event_no_span(self, mock_trace):\n        \"\"\"Test adding span event when no current span.\"\"\"\n        manager = MonitoringManager()\n        config = MonitoringConfig(enable_telemetry=True)\n        manager.configure(config)\n\n        mock_trace.get_current_span.return_value = None\n\n        # Should not raise any exception\n        manager.add_span_event(\"test_event\", {\"key\": \"value\"})\n\n    @patch('sdk.nexent.monitor.monitoring.trace')\n    def test_set_span_attributes_enabled(self, mock_trace):\n        \"\"\"Test setting span attributes when enabled.\"\"\"\n        manager = MonitoringManager()\n        config = MonitoringConfig(enable_telemetry=True)\n        manager.configure(config)\n\n        mock_span = MagicMock()\n        mock_trace.get_current_span.return_value = mock_span\n\n        manager.set_span_attributes(key1=\"value1\", key2=\"value2\")\n\n        mock_span.set_attributes.assert_called_once_with(\n            {\"key1\": \"value1\", \"key2\": \"value2\"})\n\n    def test_set_span_attributes_disabled(self):\n        \"\"\"Test setting span attributes when disabled.\"\"\"\n        manager = MonitoringManager()\n        config = MonitoringConfig(enable_telemetry=False)\n        manager.configure(config)\n\n        # Should not raise any exception\n        manager.set_span_attributes(key1=\"value1\", key2=\"value2\")\n\n    def test_create_token_tracker(self):\n        \"\"\"Test creating token tracker.\"\"\"\n        manager = MonitoringManager()\n        mock_span = MagicMock()\n\n        tracker = manager.create_token_tracker(\"test_model\", mock_span)\n\n        assert isinstance(tracker, LLMTokenTracker)\n        assert tracker.manager is manager\n        assert tracker.model_name == \"test_model\"\n        assert tracker.span is mock_span\n\n    def test_record_llm_metrics_disabled(self):\n        \"\"\"Test recording LLM metrics when disabled.\"\"\"\n        manager = MonitoringManager()\n        config = MonitoringConfig(enable_telemetry=False)\n        manager.configure(config)\n\n        # Should not raise any exception\n        manager.record_llm_metrics(\"ttft\", 0.5, {\"model\": \"test\"})\n\n    def test_record_llm_metrics_ttft(self):\n        \"\"\"Test recording TTFT metrics.\"\"\"\n        manager = MonitoringManager()\n        config = MonitoringConfig(enable_telemetry=True)\n        manager.configure(config)\n        manager._llm_ttft_duration = MagicMock()\n\n        manager.record_llm_metrics(\"ttft\", 0.5, {\"model\": \"test\"})\n\n        manager._llm_ttft_duration.record.assert_called_once_with(\n            0.5, {\"model\": \"test\"})\n\n    def test_record_llm_metrics_token_rate(self):\n        \"\"\"Test recording token rate metrics.\"\"\"\n        manager = MonitoringManager()\n        config = MonitoringConfig(enable_telemetry=True)\n        manager.configure(config)\n        manager._llm_token_generation_rate = MagicMock()\n\n        manager.record_llm_metrics(\"token_rate\", 10.5, {\"model\": \"test\"})\n\n        manager._llm_token_generation_rate.record.assert_called_once_with(10.5, {\n                                                                          \"model\": \"test\"})\n\n    def test_record_llm_metrics_tokens(self):\n        \"\"\"Test recording token count metrics.\"\"\"\n        manager = MonitoringManager()\n        config = MonitoringConfig(enable_telemetry=True)\n        manager.configure(config)\n        manager._llm_total_tokens = MagicMock()\n\n        manager.record_llm_metrics(\"tokens\", 100, {\"model\": \"test\"})\n\n        manager._llm_total_tokens.add.assert_called_once_with(\n            100, {\"model\": \"test\"})\n\n    def test_monitor_endpoint_decorator_async(self):\n        \"\"\"Test monitor_endpoint decorator with async function.\"\"\"\n        manager = MonitoringManager()\n        config = MonitoringConfig(enable_telemetry=True)\n        manager.configure(config)\n\n        with patch.object(manager, 'trace_llm_request') as mock_trace:\n            mock_context = MagicMock()\n            mock_trace.return_value.__enter__ = Mock(return_value=MagicMock())\n            mock_trace.return_value.__exit__ = Mock(return_value=None)\n\n            @manager.monitor_endpoint(\"test_operation\")\n            async def test_function(param1, param2=\"default\"):\n                return {\"result\": \"success\"}\n\n            # Test the decorated function\n            result = asyncio.run(test_function(\"value1\", param2=\"value2\"))\n\n            assert result == {\"result\": \"success\"}\n\n    def test_monitor_endpoint_decorator_sync(self):\n        \"\"\"Test monitor_endpoint decorator with sync function.\"\"\"\n        manager = MonitoringManager()\n        config = MonitoringConfig(enable_telemetry=True)\n        manager.configure(config)\n\n        with patch.object(manager, 'trace_llm_request') as mock_trace:\n            mock_context = MagicMock()\n            mock_trace.return_value.__enter__ = Mock(return_value=MagicMock())\n            mock_trace.return_value.__exit__ = Mock(return_value=None)\n\n            @manager.monitor_endpoint(\"test_operation\")\n            def test_function(param1, param2=\"default\"):\n                return {\"result\": \"success\"}\n\n            # Test the decorated function\n            result = test_function(\"value1\", param2=\"value2\")\n\n            assert result == {\"result\": \"success\"}\n\n    def test_monitor_endpoint_decorator_with_exception(self):\n        \"\"\"Test monitor_endpoint decorator with exception.\"\"\"\n        manager = MonitoringManager()\n        config = MonitoringConfig(enable_telemetry=True)\n        manager.configure(config)\n\n        with patch.object(manager, 'trace_llm_request') as mock_trace:\n            mock_context = MagicMock()\n            mock_trace.return_value.__enter__ = Mock(return_value=MagicMock())\n            mock_trace.return_value.__exit__ = Mock(return_value=None)\n\n            @manager.monitor_endpoint(\"test_operation\")\n            def test_function():\n                raise ValueError(\"Test error\")\n\n            # Test that exception is re-raised\n            with pytest.raises(ValueError, match=\"Test error\"):\n                test_function()\n\n    def test_monitor_endpoint_exclude_params(self):\n        \"\"\"Test monitor_endpoint decorator with excluded parameters.\"\"\"\n        manager = MonitoringManager()\n        config = MonitoringConfig(enable_telemetry=True)\n        manager.configure(config)\n\n        with patch.object(manager, 'trace_llm_request') as mock_trace, \\\n                patch.object(manager, 'set_span_attributes') as mock_set_attrs:\n\n            mock_span = MagicMock()\n            mock_trace.return_value.__enter__ = Mock(return_value=mock_span)\n            mock_trace.return_value.__exit__ = Mock(return_value=None)\n\n            @manager.monitor_endpoint(\"test_operation\", exclude_params=[\"password\"])\n            def test_function(username, password, debug=True):\n                return {\"result\": \"success\"}\n\n            test_function(username=\"user1\", password=\"secret123\", debug=False)\n\n            # Verify that password was excluded and other params included\n            mock_set_attrs.assert_called()\n            call_args = mock_set_attrs.call_args[1]\n            assert \"param.username\" in call_args\n            assert call_args[\"param.username\"] == \"user1\"\n            assert \"param.debug\" in call_args\n            assert call_args[\"param.debug\"] is False\n            assert \"param.password\" not in call_args\n\n    def test_monitor_llm_call_decorator_sync(self):\n        \"\"\"Test monitor_llm_call decorator with sync function.\"\"\"\n        manager = MonitoringManager()\n        config = MonitoringConfig(enable_telemetry=True)\n        manager.configure(config)\n\n        with patch.object(manager, 'trace_llm_request') as mock_trace, \\\n                patch.object(manager, 'create_token_tracker') as mock_create_tracker:\n\n            mock_span = MagicMock()\n            mock_trace.return_value.__enter__ = Mock(return_value=mock_span)\n            mock_trace.return_value.__exit__ = Mock(return_value=None)\n\n            mock_tracker = MagicMock()\n            mock_create_tracker.return_value = mock_tracker\n\n            @manager.monitor_llm_call(\"test_model\", \"completion\")\n            def test_llm_function(**kwargs):\n                # Verify token tracker is passed\n                assert \"_token_tracker\" in kwargs\n                assert kwargs[\"_token_tracker\"] is mock_tracker\n                return {\"result\": \"success\"}\n\n            result = test_llm_function()\n            assert result == {\"result\": \"success\"}\n\n    def test_monitor_llm_call_decorator_async(self):\n        \"\"\"Test monitor_llm_call decorator with async function.\"\"\"\n        manager = MonitoringManager()\n        config = MonitoringConfig(enable_telemetry=True)\n        manager.configure(config)\n\n        with patch.object(manager, 'trace_llm_request') as mock_trace, \\\n                patch.object(manager, 'create_token_tracker') as mock_create_tracker:\n\n            mock_span = MagicMock()\n            mock_trace.return_value.__enter__ = Mock(return_value=mock_span)\n            mock_trace.return_value.__exit__ = Mock(return_value=None)\n\n            mock_tracker = MagicMock()\n            mock_create_tracker.return_value = mock_tracker\n\n            @manager.monitor_llm_call(\"test_model\", \"completion\")\n            async def test_llm_function(**kwargs):\n                # Verify token tracker is passed\n                assert \"_token_tracker\" in kwargs\n                assert kwargs[\"_token_tracker\"] is mock_tracker\n                return {\"result\": \"success\"}\n\n            result = asyncio.run(test_llm_function())\n            assert result == {\"result\": \"success\"}\n\n\nclass TestLLMTokenTracker:\n    \"\"\"Test LLMTokenTracker functionality.\"\"\"\n\n    def setup_method(self):\n        \"\"\"Set up test fixtures.\"\"\"\n        self.manager = MagicMock()\n        self.span = MagicMock()\n        self.model_name = \"test_model\"\n\n    def test_initialization(self):\n        \"\"\"Test LLMTokenTracker initialization.\"\"\"\n        with patch('time.time', return_value=123.456):\n            tracker = LLMTokenTracker(self.manager, self.model_name, self.span)\n\n            assert tracker.manager is self.manager\n            assert tracker.model_name == self.model_name\n            assert tracker.span is self.span\n            assert tracker.start_time == 123.456\n            assert tracker.first_token_time is None\n            assert tracker.token_count == 0\n            assert tracker.input_tokens == 0\n            assert tracker.output_tokens == 0\n\n    def test_record_first_token_enabled(self):\n        \"\"\"Test recording first token when monitoring is enabled.\"\"\"\n        self.manager.is_enabled = True\n\n        # 0.5 second difference\n        with patch('time.time', side_effect=[123.456, 123.956]):\n            tracker = LLMTokenTracker(self.manager, self.model_name, self.span)\n            tracker.record_first_token()\n\n            assert tracker.first_token_time == 123.956\n\n            # Verify span event\n            self.span.add_event.assert_called_once_with(\n                \"first_token_received\", {\"ttft_seconds\": 0.5}\n            )\n\n            # Verify metrics recording\n            self.manager.record_llm_metrics.assert_called_once_with(\n                \"ttft\", 0.5, {\"model\": self.model_name}\n            )\n\n    def test_record_first_token_disabled(self):\n        \"\"\"Test recording first token when monitoring is disabled.\"\"\"\n        self.manager.is_enabled = False\n\n        tracker = LLMTokenTracker(self.manager, self.model_name, self.span)\n        tracker.record_first_token()\n\n        assert tracker.first_token_time is None\n        self.span.add_event.assert_not_called()\n        self.manager.record_llm_metrics.assert_not_called()\n\n    def test_record_first_token_multiple_calls(self):\n        \"\"\"Test that first token is only recorded once.\"\"\"\n        self.manager.is_enabled = True\n\n        with patch('time.time', side_effect=[123.456, 123.956, 124.456]):\n            tracker = LLMTokenTracker(self.manager, self.model_name, self.span)\n\n            # First call should record\n            tracker.record_first_token()\n            first_time = tracker.first_token_time\n\n            # Second call should not change the time\n            tracker.record_first_token()\n\n            assert tracker.first_token_time == first_time\n            assert self.span.add_event.call_count == 1\n\n    def test_record_token_enabled(self):\n        \"\"\"Test recording token when monitoring is enabled.\"\"\"\n        self.manager.is_enabled = True\n\n        with patch('time.time', side_effect=[123.456, 123.956]):\n            tracker = LLMTokenTracker(self.manager, self.model_name, self.span)\n            tracker.record_token(\"test_token\")\n\n            assert tracker.token_count == 1\n            assert tracker.first_token_time == 123.956  # Should auto-record first token\n\n            # Verify span event\n            self.span.add_event.assert_called_with(\n                \"token_generated\", {\n                    \"token_count\": 1,\n                    \"token_length\": len(\"test_token\")\n                }\n            )\n\n    def test_record_token_disabled(self):\n        \"\"\"Test recording token when monitoring is disabled.\"\"\"\n        self.manager.is_enabled = False\n\n        tracker = LLMTokenTracker(self.manager, self.model_name, self.span)\n        tracker.record_token(\"test_token\")\n\n        assert tracker.token_count == 0\n        assert tracker.first_token_time is None\n        self.span.add_event.assert_not_called()\n\n    def test_record_token_multiple_tokens(self):\n        \"\"\"Test recording multiple tokens.\"\"\"\n        self.manager.is_enabled = True\n\n        with patch('time.time', side_effect=[123.456, 123.956, 124.056, 124.156]):\n            tracker = LLMTokenTracker(self.manager, self.model_name, self.span)\n\n            tracker.record_token(\"token1\")\n            tracker.record_token(\"token2\")\n            tracker.record_token(\"token3\")\n\n            assert tracker.token_count == 3\n            # First token time should not change after initial recording\n            assert tracker.first_token_time == 123.956\n\n    def test_record_completion_enabled(self):\n        \"\"\"Test recording completion metrics when monitoring is enabled.\"\"\"\n        self.manager.is_enabled = True\n\n        # 2.5 second total\n        with patch('time.time', side_effect=[123.456, 123.956, 125.956]):\n            tracker = LLMTokenTracker(self.manager, self.model_name, self.span)\n            tracker.record_first_token()  # Set first token time (creates duration of 0.5s)\n            tracker.token_count = 5  # Simulate 5 tokens generated\n\n            tracker.record_completion(input_tokens=10, output_tokens=15)\n\n            assert tracker.input_tokens == 10\n            assert tracker.output_tokens == 15\n\n            # Verify metrics recording - the actual rate calculation: 5 tokens / 2.5 seconds = 2.0 tokens/sec\n            expected_rate = 2.0  # 5 tokens / 2.5 seconds\n            self.manager.record_llm_metrics.assert_any_call(\n                \"token_rate\", expected_rate, {\"model\": self.model_name}\n            )\n            self.manager.record_llm_metrics.assert_any_call(\n                \"tokens\", 10, {\"model\": self.model_name, \"type\": \"input\"}\n            )\n            self.manager.record_llm_metrics.assert_any_call(\n                \"tokens\", 15, {\"model\": self.model_name, \"type\": \"output\"}\n            )\n\n    def test_record_completion_disabled(self):\n        \"\"\"Test recording completion metrics when monitoring is disabled.\"\"\"\n        self.manager.is_enabled = False\n\n        tracker = LLMTokenTracker(self.manager, self.model_name, self.span)\n        tracker.record_completion(input_tokens=10, output_tokens=15)\n\n        self.manager.record_llm_metrics.assert_not_called()\n\n    def test_record_completion_span_attributes(self):\n        \"\"\"Test that completion sets span attributes correctly.\"\"\"\n        self.manager.is_enabled = True\n\n        # 2 second total\n        with patch('time.time', side_effect=[123.456, 123.956, 125.456]):\n            tracker = LLMTokenTracker(self.manager, self.model_name, self.span)\n            tracker.record_first_token()\n            tracker.token_count = 10\n\n            tracker.record_completion(input_tokens=20, output_tokens=30)\n\n            # Verify span attributes\n            expected_attrs = {\n                \"llm.input_tokens\": 20,\n                \"llm.output_tokens\": 30,\n                \"llm.total_tokens\": 50,\n                \"llm.generation_rate\": 5.0,  # 10 tokens / 2 seconds\n                \"llm.total_duration\": 2.0,\n                \"llm.ttft\": 0.5  # first_token_time - start_time\n            }\n            self.span.set_attributes.assert_called_once_with(expected_attrs)\n\n    def test_record_completion_zero_duration(self):\n        \"\"\"Test recording completion with zero duration.\"\"\"\n        self.manager.is_enabled = True\n\n        with patch('time.time', return_value=123.456):  # Same time for all calls\n            tracker = LLMTokenTracker(self.manager, self.model_name, self.span)\n            tracker.token_count = 5\n\n            tracker.record_completion(input_tokens=10, output_tokens=15)\n\n            # Should handle zero duration gracefully\n            assert tracker.input_tokens == 10\n            assert tracker.output_tokens == 15\n\n    def test_record_completion_no_tokens(self):\n        \"\"\"Test recording completion with no tokens generated.\"\"\"\n        self.manager.is_enabled = True\n\n        # 1 second total\n        with patch('time.time', side_effect=[123.456, 124.456]):\n            tracker = LLMTokenTracker(self.manager, self.model_name, self.span)\n            # Don't set token_count (remains 0)\n\n            tracker.record_completion(input_tokens=10, output_tokens=15)\n\n            # Should handle zero tokens gracefully\n            assert tracker.input_tokens == 10\n            assert tracker.output_tokens == 15\n\n\nclass TestGlobalFunctions:\n    \"\"\"Test global functions.\"\"\"\n\n    def test_get_monitoring_manager_singleton(self):\n        \"\"\"Test that get_monitoring_manager returns the same instance.\"\"\"\n        # Reset singleton\n        MonitoringManager._instance = None\n        MonitoringManager._initialized = False\n\n        manager1 = get_monitoring_manager()\n        manager2 = get_monitoring_manager()\n\n        assert manager1 is manager2\n        assert isinstance(manager1, MonitoringManager)\n\n\nclass TestIntegrationScenarios:\n    \"\"\"Test integration scenarios and edge cases.\"\"\"\n\n    def setup_method(self):\n        \"\"\"Reset singleton state before each test.\"\"\"\n        MonitoringManager._instance = None\n        MonitoringManager._initialized = False\n\n    def test_full_monitoring_lifecycle(self):\n        \"\"\"Test complete monitoring lifecycle from config to metrics.\"\"\"\n        manager = get_monitoring_manager()\n        config = MonitoringConfig(\n            enable_telemetry=True, service_name=\"test-service\")\n\n        with patch.object(manager, '_init_telemetry'):\n            manager.configure(config)\n\n            # Test that all methods work with enabled monitoring\n            assert manager.is_enabled is True\n\n            tracker = manager.create_token_tracker(\"test_model\")\n            assert isinstance(tracker, LLMTokenTracker)\n\n            # Test decorators work\n            @manager.monitor_endpoint(\"test_op\")\n            def test_func():\n                return \"success\"\n\n            result = test_func()\n            assert result == \"success\"\n\n    def test_monitoring_disabled_lifecycle(self):\n        \"\"\"Test monitoring lifecycle when disabled.\"\"\"\n        manager = get_monitoring_manager()\n        config = MonitoringConfig(enable_telemetry=False)\n\n        manager.configure(config)\n\n        # All methods should work without errors when disabled\n        assert manager.is_enabled is False\n\n        manager.add_span_event(\"test_event\")\n        manager.set_span_attributes(key=\"value\")\n        manager.record_llm_metrics(\"ttft\", 0.5, {})\n\n        # Decorators should still work\n        @manager.monitor_endpoint(\"test_op\")\n        def test_func():\n            return \"success\"\n\n        result = test_func()\n        assert result == \"success\"\n\n    def test_concurrent_access(self):\n        \"\"\"Test concurrent access to singleton.\"\"\"\n        import threading\n\n        managers = []\n\n        def create_manager():\n            managers.append(get_monitoring_manager())\n\n        threads = [threading.Thread(target=create_manager) for _ in range(10)]\n\n        for t in threads:\n            t.start()\n        for t in threads:\n            t.join()\n\n        # All managers should be the same instance\n        assert len(set(id(m) for m in managers)) == 1\n\n    def test_error_resilience(self):\n        \"\"\"Test that monitoring errors don't break application flow.\"\"\"\n        manager = get_monitoring_manager()\n        config = MonitoringConfig(enable_telemetry=True)\n        manager.configure(config)\n\n        # Test that when monitoring is disabled, methods handle gracefully\n        manager._config.enable_telemetry = False\n\n        # These should not raise exceptions when disabled\n        manager.add_span_event(\"test_event\")\n        manager.set_span_attributes(key=\"value\")\n        manager.record_llm_metrics(\"ttft\", 0.5, {})\n\n        # Re-enable for decorator test\n        manager._config.enable_telemetry = True\n\n        # Test decorator with mocked internal error handling\n        with patch.object(manager, 'trace_llm_request') as mock_trace:\n            # Mock context manager that handles errors gracefully\n            mock_context = MagicMock()\n            mock_context.__enter__ = Mock(return_value=None)\n            mock_context.__exit__ = Mock(return_value=None)\n            mock_trace.return_value = mock_context\n\n            @manager.monitor_endpoint(\"test_op\")\n            def test_func():\n                return \"success\"\n\n            # Function should work normally\n            result = test_func()\n            assert result == \"success\"\n"
  },
  {
    "path": "test/sdk/multi_modal/test_load_save_object.py",
    "content": "import io\nfrom typing import Any, Tuple\nfrom unittest.mock import MagicMock\n\nimport pytest\n\nfrom sdk.nexent.multi_modal import load_save_object as lso\n\n\ndef make_manager(client: Any = None) -> lso.LoadSaveObjectManager:\n    if client is None:\n        client = object()\n    return lso.LoadSaveObjectManager(storage_client=client)\n\n\ndef test_get_client_returns_configured_storage():\n    sentinel = object()\n    manager = make_manager(sentinel)\n    assert manager._get_client() is sentinel\n\n\ndef test_get_client_requires_initialized_storage():\n    manager = lso.LoadSaveObjectManager(storage_client=None)\n\n    with pytest.raises(ValueError):\n        manager._get_client()\n\n\ndef test_download_file_from_http(monkeypatch):\n    manager = make_manager()\n\n    class _Response:\n        def __init__(self):\n            self.content = b\"binary\"\n\n        def raise_for_status(self):\n            return None\n\n    monkeypatch.setattr(lso.requests, \"get\", lambda url, timeout: _Response())\n    data = manager.download_file_from_url(\n        \"https://example.com/file.png\",\n        url_type=\"https\",\n    )\n    assert data == b\"binary\"\n\n\ndef test_download_file_from_s3(monkeypatch):\n    class _FakeClient:\n        def get_file_stream(self, object_name: str, bucket: str) -> Tuple[bool, Any]:\n            assert object_name == \"path/to/object\"\n            assert bucket == \"bucket\"\n            return True, io.BytesIO(b\"payload\")\n\n    manager = make_manager(_FakeClient())\n    data = manager.download_file_from_url(\"s3://bucket/path/to/object\", url_type=\"s3\")\n    assert data == b\"payload\"\n\n\ndef test_download_file_from_s3_failure_returns_none():\n    class _FailingClient:\n        def get_file_stream(self, object_name: str, bucket: str):\n            return False, \"boom\"\n\n    manager = make_manager(_FailingClient())\n    assert manager.download_file_from_url(\"s3://bucket/object\", url_type=\"s3\") is None\n\n\ndef test_download_file_from_s3_missing_method_returns_none():\n    class _InvalidClient:\n        pass\n\n    manager = make_manager(_InvalidClient())\n    assert manager.download_file_from_url(\"s3://bucket/object\", url_type=\"s3\") is None\n\n\ndef test_download_file_requires_url_type():\n    manager = make_manager()\n    with pytest.raises(ValueError):\n        manager.download_file_from_url(\"https://example.com/file.png\", url_type=None)  # type: ignore[arg-type]\n\n\ndef test_download_file_empty_url_returns_none():\n    manager = make_manager()\n    assert manager.download_file_from_url(\"\", url_type=\"https\") is None\n\n\ndef test_download_file_stream_read_failure(monkeypatch):\n    class _FailingStream:\n        def read(self):\n            raise RuntimeError(\"cannot read\")\n\n        def close(self):\n            pass\n\n    class _Client:\n        def get_file_stream(self, object_name: str, bucket: str):\n            return True, _FailingStream()\n\n    manager = make_manager(_Client())\n    assert manager.download_file_from_url(\"s3://bucket/object\", url_type=\"s3\") is None\n\n\ndef test_upload_bytes_to_minio_generates_object_name(monkeypatch):\n    captured = {}\n\n    class _UploadClient:\n        def upload_fileobj(self, file_obj, object_name, bucket):\n            captured[\"data\"] = file_obj.read()\n            captured[\"object_name\"] = object_name\n            captured[\"bucket\"] = bucket\n            return True, \"/bucket/generated.bin\"\n\n    manager = make_manager(_UploadClient())\n    monkeypatch.setattr(lso, \"guess_extension_from_content_type\", lambda c: \".bin\")\n    monkeypatch.setattr(lso, \"generate_object_name\", lambda ext: f\"generated{ext}\")\n\n    result = manager._upload_bytes_to_minio(b\"payload\", content_type=\"application/octet-stream\")\n\n    assert result == \"/bucket/generated.bin\"\n    assert captured[\"data\"] == b\"payload\"\n    assert captured[\"object_name\"] == \"generated.bin\"\n    assert captured[\"bucket\"] == \"nexent\"\n\n\ndef test_upload_bytes_to_minio_generates_name_without_extension(monkeypatch):\n    captured = {}\n\n    class _UploadClient:\n        def upload_fileobj(self, file_obj, object_name, bucket):\n            captured[\"object_name\"] = object_name\n            return True, \"/bucket/generated\"\n\n    manager = make_manager(_UploadClient())\n\n    monkeypatch.setattr(lso, \"guess_extension_from_content_type\", lambda _: \"\")\n\n    def _generate(ext: str):\n        captured[\"ext\"] = ext\n        return \"generated\"\n\n    monkeypatch.setattr(lso, \"generate_object_name\", _generate)\n\n    path = manager._upload_bytes_to_minio(b\"bytes\", content_type=\"application/octet-stream\")\n    assert path == \"/bucket/generated\"\n    assert captured[\"ext\"] == \"\"\n    assert captured[\"object_name\"] == \"generated\"\n\n\ndef test_upload_bytes_to_minio_requires_upload_method():\n    class _InvalidClient:\n        pass\n\n    manager = make_manager(_InvalidClient())\n\n    with pytest.raises(ValueError):\n        manager._upload_bytes_to_minio(b\"bytes\")\n\n\ndef test_upload_bytes_to_minio_failure_propagates_error():\n    class _UploadClient:\n        def upload_fileobj(self, file_obj, object_name, bucket):\n            return False, \"failed\"\n\n    manager = make_manager(_UploadClient())\n\n    with pytest.raises(ValueError):\n        manager._upload_bytes_to_minio(b\"bytes\")\n\n\ndef test_upload_bytes_to_minio_with_explicit_object_name():\n    captured = {}\n\n    class _UploadClient:\n        def upload_fileobj(self, file_obj, object_name, bucket):\n            captured[\"name\"] = object_name\n            captured[\"bucket\"] = bucket\n            return True, \"/bucket/custom.bin\"\n\n    manager = make_manager(_UploadClient())\n    result = manager._upload_bytes_to_minio(\n        b\"payload\",\n        object_name=\"provided.bin\",\n        bucket=\"custom-bucket\"\n    )\n\n    assert result == \"/bucket/custom.bin\"\n    assert captured[\"name\"] == \"provided.bin\"\n    assert captured[\"bucket\"] == \"custom-bucket\"\n\n\ndef test_load_object_transforms_single_argument(monkeypatch):\n    manager = make_manager()\n    download_mock = MagicMock(return_value=b\"file-bytes\")\n    monkeypatch.setattr(manager, \"download_file_from_url\", download_mock)\n\n    @manager.load_object(input_names=[\"image\"])\n    def handler(image):\n        return image\n\n    result = handler(\"https://example.com/img.png\")\n\n    download_mock.assert_called_once_with(\"https://example.com/img.png\", url_type=\"https\")\n    assert result == b\"file-bytes\"\n\n\ndef test_load_object_transforms_iterable_with_transformer(monkeypatch):\n    manager = make_manager()\n\n    def transformer(data: bytes) -> str:\n        return data.decode(\"utf-8\")\n\n    download_mock = MagicMock(side_effect=[b\"first\", b\"second\"])\n    monkeypatch.setattr(manager, \"download_file_from_url\", download_mock)\n\n    @manager.load_object(input_names=[\"images\"], input_data_transformer=[transformer])\n    def handler(images):\n        return images\n\n    result = handler([\"https://a\", \"https://b\"])\n\n    assert result == [\"first\", \"second\"]\n\n\ndef test_load_object_preserves_tuple_type(monkeypatch):\n    manager = make_manager()\n    download_mock = MagicMock(side_effect=[b\"alpha\", b\"beta\"])\n    monkeypatch.setattr(manager, \"download_file_from_url\", download_mock)\n\n    @manager.load_object(input_names=[\"images\"])\n    def handler(images):\n        return images\n\n    result = handler((\"https://a\", \"https://b\"))\n\n    assert isinstance(result, tuple)\n    assert result == (b\"alpha\", b\"beta\")\n\n\ndef test_load_object_skips_missing_arguments(monkeypatch):\n    manager = make_manager()\n    download_mock = MagicMock(return_value=b\"bytes\")\n    monkeypatch.setattr(manager, \"download_file_from_url\", download_mock)\n\n    @manager.load_object(input_names=[\"image\", \"mask\"])\n    def handler(image, other=None):\n        return image, other\n\n    result = handler(\"https://example.com/a.png\")\n    download_mock.assert_called_once_with(\"https://example.com/a.png\", url_type=\"https\")\n    assert result == (b\"bytes\", None)\n\n\ndef test_load_object_raises_for_non_url():\n    manager = make_manager()\n\n    @manager.load_object(input_names=[\"image\"])\n    def handler(image):\n        return image\n\n    with pytest.raises(ValueError):\n        handler(123)\n\n\ndef test_load_object_allows_none_input():\n    manager = make_manager()\n\n    @manager.load_object(input_names=[\"image\"])\n    def handler(image):\n        return image\n\n    assert handler(None) is None\n\n\ndef test_load_object_transformer_error_propagates(monkeypatch):\n    def transformer(_data: bytes):\n        raise RuntimeError(\"boom\")\n\n    manager = make_manager()\n    monkeypatch.setattr(manager, \"download_file_from_url\", MagicMock(return_value=b\"bytes\"))\n\n    @manager.load_object(input_names=[\"image\"], input_data_transformer=[transformer])\n    def handler(image):\n        return image\n\n    with pytest.raises(RuntimeError):\n        handler(\"https://example.com/test.png\")\n\n\ndef test_load_object_transformer_list_shorter_than_inputs(monkeypatch):\n    manager = make_manager()\n    download_mock = MagicMock(side_effect=[b\"first\", b\"second\"])\n    monkeypatch.setattr(manager, \"download_file_from_url\", download_mock)\n\n    def decode(data: bytes) -> str:\n        return data.decode(\"utf-8\")\n\n    @manager.load_object(\n        input_names=[\"primary\", \"secondary\"],\n        input_data_transformer=[decode],\n    )\n    def handler(primary, secondary):\n        return primary, secondary\n\n    result = handler(\"https://a\", \"https://b\")\n    assert result == (\"first\", b\"second\")\n    assert download_mock.call_count == 2\n\n\ndef test_save_object_uploads_bytes(monkeypatch):\n    manager = make_manager()\n    upload_mock = MagicMock(return_value=\"/bucket/object\")\n    monkeypatch.setattr(manager, \"_upload_bytes_to_minio\", upload_mock)\n    monkeypatch.setattr(\n        lso, \"detect_content_type_from_bytes\", lambda data: \"image/png\"\n    )\n\n    @manager.save_object(output_names=[\"image\"])\n    def handler():\n        return b\"\\x89PNG\\r\\n\\x1a\\n\"\n\n    result = handler()\n    upload_mock.assert_called_once()\n    assert result == \"s3://bucket/object\"\n\n\ndef test_save_object_with_transformer_and_nested(monkeypatch):\n    manager = make_manager()\n    upload_mock = MagicMock(side_effect=[\"/bucket/a\", \"/bucket/b\"])\n    monkeypatch.setattr(manager, \"_upload_bytes_to_minio\", upload_mock)\n    monkeypatch.setattr(\n        lso, \"detect_content_type_from_bytes\", lambda data: \"application/octet-stream\"\n    )\n\n    def to_bytes(value: str) -> bytes:\n        return value.encode(\"utf-8\")\n\n    @manager.save_object(output_names=[\"images\"], output_transformers=[to_bytes])\n    def handler():\n        return [\"one\", \"two\"]\n\n    result = handler()\n    assert result == [\"s3://bucket/a\", \"s3://bucket/b\"]\n    assert upload_mock.call_count == 2\n\n\ndef test_save_object_validates_return_value_count():\n    manager = make_manager()\n\n    @manager.save_object(output_names=[\"first\", \"second\"])\n    def handler():\n        return b\"only-one\"\n\n    with pytest.raises(ValueError):\n        handler()\n\n\ndef test_save_object_transformer_must_return_bytes():\n    def identity(value):\n        return value  # not bytes\n\n    manager = make_manager()\n\n    @manager.save_object(output_names=[\"payload\"], output_transformers=[identity])\n    def handler():\n        return \"text\"\n\n    with pytest.raises(ValueError):\n        handler()\n\n\ndef test_save_object_requires_bytes_without_transformer():\n    manager = make_manager()\n\n    @manager.save_object(output_names=[\"image\"])\n    def handler():\n        return \"text\"\n\n    with pytest.raises(ValueError):\n        handler()\n\n\ndef test_save_object_handles_none_output(monkeypatch):\n    manager = make_manager()\n    upload_mock = MagicMock()\n    monkeypatch.setattr(manager, \"_upload_bytes_to_minio\", upload_mock)\n\n    @manager.save_object(output_names=[\"image\"])\n    def handler():\n        return None\n\n    assert handler() is None\n    upload_mock.assert_not_called()\n\n\ndef test_save_object_returns_tuple_for_multiple_outputs(monkeypatch):\n    manager = make_manager()\n    monkeypatch.setattr(\n        lso, \"detect_content_type_from_bytes\", lambda data: \"application/octet-stream\"\n    )\n    upload_mock = MagicMock(side_effect=[\"/bucket/a\", \"/bucket/b\"])\n    monkeypatch.setattr(manager, \"_upload_bytes_to_minio\", upload_mock)\n\n    @manager.save_object(output_names=[\"first\", \"second\"])\n    def handler():\n        return b\"a\", b\"b\"\n\n    assert handler() == (\"s3://bucket/a\", \"s3://bucket/b\")\n    assert upload_mock.call_count == 2\n\n\ndef test_save_object_nested_none_structure(monkeypatch):\n    manager = make_manager()\n    monkeypatch.setattr(\n        lso, \"detect_content_type_from_bytes\", lambda data: \"application/octet-stream\"\n    )\n    upload_mock = MagicMock(return_value=\"/bucket/value\")\n    monkeypatch.setattr(manager, \"_upload_bytes_to_minio\", upload_mock)\n\n    @manager.save_object(output_names=[\"images\"])\n    def handler_nested():\n        return [None, b\"bytes\"]\n\n    result = handler_nested()\n    assert result == [None, \"s3://bucket/value\"]\n    upload_mock.assert_called_once()\n\n\n@pytest.mark.asyncio\nasync def test_save_object_supports_async_functions(monkeypatch):\n    manager = make_manager()\n    upload_mock = MagicMock(return_value=\"/bucket/object\")\n    monkeypatch.setattr(manager, \"_upload_bytes_to_minio\", upload_mock)\n    monkeypatch.setattr(\n        lso, \"detect_content_type_from_bytes\", lambda data: \"image/png\"\n    )\n\n    @manager.save_object(output_names=[\"image\"])\n    async def handler():\n        return b\"\\x89PNG\\r\\n\\x1a\\n\"\n\n    result = await handler()\n    assert result == \"s3://bucket/object\"\n    upload_mock.assert_called_once()\n"
  },
  {
    "path": "test/sdk/multi_modal/test_utils.py",
    "content": "import base64\n\nimport pytest\n\nfrom sdk.nexent.multi_modal import utils\n\n\ndef test_is_url_variants():\n    assert utils.is_url(\"https://example.com/image.png\") == \"https\"\n    assert utils.is_url(\"http://example.com/image.png\") == \"http\"\n    assert utils.is_url(\"s3://bucket/key\") == \"s3\"\n    assert utils.is_url(\"/bucket/key\") == \"s3\"\n    assert utils.is_url(\"not-a-url\") is None\n    assert utils.is_url(123) is None  # type: ignore[arg-type]\n\n\ndef test_is_url_requires_bucket_and_key():\n    assert utils.is_url(\"/bucket\") is None\n    assert utils.is_url(\"s3://bucket/\") is None\n    assert utils.is_url(\"\") is None\n\n\ndef test_bytes_to_base64_and_back():\n    data = b\"sample\"\n    encoded = utils.bytes_to_base64(data, content_type=\"text/plain\")\n    assert encoded.startswith(\"data:text/plain;base64,\")\n    decoded, content_type = utils.base64_to_bytes(encoded)\n    assert decoded == data\n    assert content_type == \"text/plain\"\n\n\ndef test_bytes_to_base64_requires_data():\n    with pytest.raises(ValueError):\n        utils.bytes_to_base64(b\"\")\n\n\ndef test_base64_to_bytes_without_prefix():\n    payload = base64.b64encode(b\"raw-data\").decode(\"utf-8\")\n    decoded, content_type = utils.base64_to_bytes(payload)\n    assert decoded == b\"raw-data\"\n    assert content_type == \"application/octet-stream\"\n\n\ndef test_base64_to_bytes_invalid_input():\n    with pytest.raises(ValueError):\n        utils.base64_to_bytes(\"data:image/png;base64,invalid!!\")\n\n\ndef test_base64_to_bytes_requires_string():\n    with pytest.raises(ValueError):\n        utils.base64_to_bytes(b\"not-a-string\")  # type: ignore[arg-type]\n\n\ndef test_base64_to_bytes_invalid_header_format():\n    with pytest.raises(ValueError):\n        utils.base64_to_bytes(\"data:image/png;base64\")  # missing comma\n\n\ndef test_generate_object_name_appends_extension(monkeypatch: pytest.MonkeyPatch):\n    class _FixedDateTime:\n        @staticmethod\n        def now():\n            class _Value:\n                def strftime(self, fmt: str) -> str:\n                    return \"20240102_030405\"\n\n            return _Value()\n\n    class _FixedUUID:\n        @staticmethod\n        def uuid4():\n            return \"12345678-abcdef\"\n\n    monkeypatch.setattr(utils, \"datetime\", _FixedDateTime())\n    monkeypatch.setattr(utils, \"uuid\", _FixedUUID())\n\n    name = utils.generate_object_name(\"png\")\n    assert name == \"20240102_030405_12345678.png\"\n\n\ndef test_generate_object_name_accepts_dot_prefix(monkeypatch: pytest.MonkeyPatch):\n    class _FixedDateTime:\n        @staticmethod\n        def now():\n            class _Value:\n                def strftime(self, fmt: str) -> str:\n                    return \"20240102_030405\"\n\n            return _Value()\n\n    class _FixedUUID:\n        @staticmethod\n        def uuid4():\n            return \"12345678-abcdef\"\n\n    monkeypatch.setattr(utils, \"datetime\", _FixedDateTime())\n    monkeypatch.setattr(utils, \"uuid\", _FixedUUID())\n\n    name = utils.generate_object_name(\".gif\")\n    assert name.endswith(\".gif\")\n\n\ndef test_detect_content_type_known_signatures():\n    png_bytes = b\"\\x89PNG\\r\\n\\x1a\\n\" + b\"\\x00\" * 10\n    assert utils.detect_content_type_from_bytes(png_bytes) == \"image/png\"\n\n    pdf_bytes = b\"%PDF\" + b\"\\x00\" * 10\n    assert utils.detect_content_type_from_bytes(pdf_bytes) == \"application/pdf\"\n\n    jpeg_bytes = b\"\\xff\\xd8\\xff\" + b\"\\x00\" * 5\n    assert utils.detect_content_type_from_bytes(jpeg_bytes) == \"image/jpeg\"\n\n    gif_bytes = b\"GIF89a\" + b\"\\x00\" * 6\n    assert utils.detect_content_type_from_bytes(gif_bytes) == \"image/gif\"\n\n    webp_bytes = b\"RIFF\" + b\"\\x00\" * 4 + b\"WEBP\"\n    assert utils.detect_content_type_from_bytes(webp_bytes) == \"image/webp\"\n\n    wav_bytes = b\"RIFF\" + b\"\\x00\" * 4 + b\"WAVE\"\n    assert utils.detect_content_type_from_bytes(wav_bytes) == \"audio/wav\"\n\n\ndef test_detect_content_type_audio_video_variants():\n    mp4_bytes = b\"\\x00\\x00\\x00\\x20ftyp\" + b\"\\x00\" * 10\n    assert utils.detect_content_type_from_bytes(mp4_bytes) == \"video/mp4\"\n\n    mp3_bytes = b\"ID3\" + b\"\\x00\" * 5\n    assert utils.detect_content_type_from_bytes(mp3_bytes) == \"audio/mpeg\"\n\n\ndef test_detect_content_type_text_and_default():\n    text_bytes = b\"Hello world\"\n    assert utils.detect_content_type_from_bytes(text_bytes) == \"text/plain\"\n    assert utils.detect_content_type_from_bytes(b\"\\x00\\x01\\x02\") == \"application/octet-stream\"\n    json_bytes = b'{\"key\": \"value\"}'\n    assert utils.detect_content_type_from_bytes(json_bytes) == \"application/json\"\n\n\ndef test_guess_content_type_from_url():\n    assert utils.guess_content_type_from_url(\"http://example.com/file.webp\") == \"image/webp\"\n    assert utils.guess_content_type_from_url(\"http://example.com/file.unknown\") == \"application/octet-stream\"\n    assert utils.guess_content_type_from_url(\"http://example.com/file.jpg?token=1\") == \"image/jpeg\"\n\n\ndef test_guess_content_type_from_url_uses_case_insensitive_suffix():\n    assert utils.guess_content_type_from_url(\"http://example.com/VIDEO.MP4\") == \"video/mp4\"\n\n\ndef test_guess_extension_from_content_type():\n    assert utils.guess_extension_from_content_type(\"image/png\") == \".png\"\n    assert utils.guess_extension_from_content_type(\"unknown/type\") == \"\"\n\n\ndef test_parse_s3_url_variants():\n    assert utils.parse_s3_url(\"s3://bucket/key\") == (\"bucket\", \"key\")\n    assert utils.parse_s3_url(\"/bucket/key\") == (\"bucket\", \"key\")\n\n\ndef test_parse_s3_url_invalid():\n    with pytest.raises(ValueError):\n        utils.parse_s3_url(\"invalid\")\n\n\ndef test_parse_s3_url_requires_object_name():\n    with pytest.raises(ValueError):\n        utils.parse_s3_url(\"s3://bucket/\")\n\n    with pytest.raises(ValueError):\n        utils.parse_s3_url(\"/bucket\")\n\n\ndef test_base64_to_bytes_header_without_base64_flag():\n    payload = base64.b64encode(b\"json-bytes\").decode(\"utf-8\")\n    decoded, content_type = utils.base64_to_bytes(\n        f\"data:application/json,{payload}\"\n    )\n    assert decoded == b\"json-bytes\"\n    assert content_type == \"application/json\"\n\n\n@pytest.mark.parametrize(\n    (\"payload\", \"expected\"),\n    [\n        (b\"\\x00\\x00\\x00 qt  \" + b\"\\x00\" * 6, \"video/quicktime\"),\n        (b\"OggS\" + b\"\\x00\" * 8, \"audio/ogg\"),\n        (b\"fLaC\" + b\"\\x00\" * 8, \"audio/flac\"),\n        (b\"\\x1a\\x45\\xdf\\xa3\" + b\"\\x00\" * 8, \"video/webm\"),\n        (b\"RIFF\" + b\"\\x00\" * 4 + b\"AVI \", \"video/x-msvideo\"),\n    ],\n)\ndef test_detect_content_type_expanded_signatures(payload: bytes, expected: str):\n    assert utils.detect_content_type_from_bytes(payload) == expected\n\n\ndef test_detect_content_type_mp3_frame_sync():\n    payload = b\"\\xff\\xfb\" + b\"\\x00\" * 4\n    assert utils.detect_content_type_from_bytes(payload) == \"audio/mpeg\"\n\n\n@pytest.mark.parametrize(\"value\", [\"\", None])\ndef test_parse_s3_url_rejects_empty(value):\n    with pytest.raises(ValueError):\n        utils.parse_s3_url(value)  # type: ignore[arg-type]\n\n\n"
  },
  {
    "path": "test/sdk/storage/__init__.py",
    "content": "# Storage tests package\n\n"
  },
  {
    "path": "test/sdk/storage/test_minio.py",
    "content": "\"\"\"\nUnit tests for minio.py\nTests the MinIOStorageClient class\n\"\"\"\n\nimport os\nimport sys\nimport pytest\nfrom unittest.mock import MagicMock, patch, Mock, mock_open\nfrom io import BytesIO\nfrom botocore.exceptions import ClientError\n\n# Add project root to Python path\nsys.path.insert(0, os.path.abspath(os.path.join(\n    os.path.dirname(__file__), '..', '..', '..')))\n\nfrom nexent.storage.minio import MinIOStorageClient\n\n\nclass TestMinIOStorageClientInit:\n    \"\"\"Test cases for MinIOStorageClient initialization\"\"\"\n\n    @patch('nexent.storage.minio.boto3')\n    def test_init_with_all_parameters(self, mock_boto3):\n        \"\"\"Test initialization with all parameters\"\"\"\n        mock_client = MagicMock()\n        mock_boto3.client.return_value = mock_client\n        mock_client.head_bucket.return_value = None\n\n        client = MinIOStorageClient(\n            endpoint=\"http://localhost:9000\",\n            access_key=\"minioadmin\",\n            secret_key=\"minioadmin\",\n            region=\"us-east-1\",\n            default_bucket=\"test-bucket\",\n            secure=False\n        )\n\n        assert client.endpoint == \"http://localhost:9000\"\n        assert client.access_key == \"minioadmin\"\n        assert client.secret_key == \"minioadmin\"\n        assert client.region == \"us-east-1\"\n        assert client.default_bucket == \"test-bucket\"\n        assert client.secure is False\n        mock_boto3.client.assert_called_once()\n        mock_client.head_bucket.assert_called_once_with(Bucket=\"test-bucket\")\n\n    @patch('nexent.storage.minio.boto3')\n    def test_init_with_minimal_parameters(self, mock_boto3):\n        \"\"\"Test initialization with minimal parameters\"\"\"\n        mock_client = MagicMock()\n        mock_boto3.client.return_value = mock_client\n\n        client = MinIOStorageClient(\n            endpoint=\"http://localhost:9000\",\n            access_key=\"minioadmin\",\n            secret_key=\"minioadmin\"\n        )\n\n        assert client.endpoint == \"http://localhost:9000\"\n        assert client.region == \"us-east-1\"  # Default region\n        assert client.default_bucket is None\n        assert client.secure is True  # Default secure\n\n    @patch('nexent.storage.minio.boto3')\n    def test_init_with_default_bucket_creation(self, mock_boto3):\n        \"\"\"Test initialization creates bucket if it doesn't exist\"\"\"\n        mock_client = MagicMock()\n        mock_boto3.client.return_value = mock_client\n        \n        # First call raises 404 (bucket doesn't exist), second succeeds (bucket created)\n        error_404 = ClientError(\n            {'Error': {'Code': '404', 'Message': 'Not Found'}},\n            'HeadBucket'\n        )\n        mock_client.head_bucket.side_effect = [error_404, None]\n        mock_client.create_bucket.return_value = None\n\n        client = MinIOStorageClient(\n            endpoint=\"http://localhost:9000\",\n            access_key=\"minioadmin\",\n            secret_key=\"minioadmin\",\n            default_bucket=\"new-bucket\"\n        )\n\n        mock_client.head_bucket.assert_called_with(Bucket=\"new-bucket\")\n        mock_client.create_bucket.assert_called_once_with(Bucket=\"new-bucket\")\n\n    @patch('nexent.storage.minio.boto3')\n    def test_init_bucket_check_permission_error(self, mock_boto3):\n        \"\"\"Test initialization handles permission errors when checking bucket\"\"\"\n        mock_client = MagicMock()\n        mock_boto3.client.return_value = mock_client\n        \n        error_403 = ClientError(\n            {'Error': {'Code': '403', 'Message': 'Forbidden'}},\n            'HeadBucket'\n        )\n        mock_client.head_bucket.side_effect = error_403\n\n        with pytest.raises(ClientError):\n            MinIOStorageClient(\n                endpoint=\"http://localhost:9000\",\n                access_key=\"minioadmin\",\n                secret_key=\"minioadmin\",\n                default_bucket=\"test-bucket\"\n            )\n\n    @patch('nexent.storage.minio.boto3')\n    def test_init_bucket_creation_failure(self, mock_boto3):\n        \"\"\"Test initialization handles bucket creation failure\"\"\"\n        mock_client = MagicMock()\n        mock_boto3.client.return_value = mock_client\n        \n        error_404 = ClientError(\n            {'Error': {'Code': '404', 'Message': 'Not Found'}},\n            'HeadBucket'\n        )\n        create_error = ClientError(\n            {'Error': {'Code': 'AccessDenied', 'Message': 'Access Denied'}},\n            'CreateBucket'\n        )\n        mock_client.head_bucket.side_effect = error_404\n        mock_client.create_bucket.side_effect = create_error\n\n        with pytest.raises(ClientError):\n            MinIOStorageClient(\n                endpoint=\"http://localhost:9000\",\n                access_key=\"minioadmin\",\n                secret_key=\"minioadmin\",\n                default_bucket=\"test-bucket\"\n            )\n\n\nclass TestMinIOStorageClientUploadFile:\n    \"\"\"Test cases for upload_file method\"\"\"\n\n    @patch('nexent.storage.minio.boto3')\n    def test_upload_file_success(self, mock_boto3):\n        \"\"\"Test successful file upload\"\"\"\n        mock_client = MagicMock()\n        mock_boto3.client.return_value = mock_client\n        mock_client.head_bucket.return_value = None\n\n        client = MinIOStorageClient(\n            endpoint=\"http://localhost:9000\",\n            access_key=\"minioadmin\",\n            secret_key=\"minioadmin\",\n            default_bucket=\"test-bucket\"\n        )\n\n        with patch('builtins.open', mock_open(read_data=b'test data')):\n            with patch('os.path.basename', return_value='test.txt'):\n                success, result = client.upload_file('/path/to/test.txt', 'test.txt', 'test-bucket')\n\n        assert success is True\n        assert result == \"/test-bucket/test.txt\"\n        mock_client.upload_file.assert_called_once_with('/path/to/test.txt', 'test-bucket', 'test.txt')\n\n    @patch('nexent.storage.minio.boto3')\n    def test_upload_file_without_bucket(self, mock_boto3):\n        \"\"\"Test upload_file fails when bucket is not specified\"\"\"\n        mock_client = MagicMock()\n        mock_boto3.client.return_value = mock_client\n\n        client = MinIOStorageClient(\n            endpoint=\"http://localhost:9000\",\n            access_key=\"minioadmin\",\n            secret_key=\"minioadmin\"\n        )\n\n        success, result = client.upload_file('/path/to/test.txt')\n\n        assert success is False\n        assert result == \"Bucket name is required\"\n\n    @patch('nexent.storage.minio.boto3')\n    def test_upload_file_without_object_name(self, mock_boto3):\n        \"\"\"Test upload_file uses filename when object_name is not specified\"\"\"\n        mock_client = MagicMock()\n        mock_boto3.client.return_value = mock_client\n        mock_client.head_bucket.return_value = None\n\n        client = MinIOStorageClient(\n            endpoint=\"http://localhost:9000\",\n            access_key=\"minioadmin\",\n            secret_key=\"minioadmin\",\n            default_bucket=\"test-bucket\"\n        )\n\n        with patch('builtins.open', mock_open(read_data=b'test data')):\n            with patch('os.path.basename', return_value='test.txt'):\n                success, result = client.upload_file('/path/to/test.txt', None, 'test-bucket')\n\n        assert success is True\n        assert result == \"/test-bucket/test.txt\"\n        mock_client.upload_file.assert_called_once_with('/path/to/test.txt', 'test-bucket', 'test.txt')\n\n    @patch('nexent.storage.minio.boto3')\n    def test_upload_file_exception(self, mock_boto3):\n        \"\"\"Test upload_file handles exceptions\"\"\"\n        mock_client = MagicMock()\n        mock_boto3.client.return_value = mock_client\n        mock_client.head_bucket.return_value = None\n        mock_client.upload_file.side_effect = Exception(\"Upload failed\")\n\n        client = MinIOStorageClient(\n            endpoint=\"http://localhost:9000\",\n            access_key=\"minioadmin\",\n            secret_key=\"minioadmin\",\n            default_bucket=\"test-bucket\"\n        )\n\n        success, result = client.upload_file('/path/to/test.txt', 'test.txt')\n\n        assert success is False\n        assert \"Upload failed\" in result\n\n\nclass TestMinIOStorageClientUploadFileobj:\n    \"\"\"Test cases for upload_fileobj method\"\"\"\n\n    @patch('nexent.storage.minio.boto3')\n    def test_upload_fileobj_success(self, mock_boto3):\n        \"\"\"Test successful file object upload\"\"\"\n        mock_client = MagicMock()\n        mock_boto3.client.return_value = mock_client\n        mock_client.head_bucket.return_value = None\n\n        client = MinIOStorageClient(\n            endpoint=\"http://localhost:9000\",\n            access_key=\"minioadmin\",\n            secret_key=\"minioadmin\",\n            default_bucket=\"test-bucket\"\n        )\n\n        file_obj = BytesIO(b'test data')\n        success, result = client.upload_fileobj(file_obj, 'test.txt', 'test-bucket')\n\n        assert success is True\n        assert result == \"/test-bucket/test.txt\"\n        mock_client.upload_fileobj.assert_called_once_with(file_obj, 'test-bucket', 'test.txt')\n\n    @patch('nexent.storage.minio.boto3')\n    def test_upload_fileobj_without_bucket(self, mock_boto3):\n        \"\"\"Test upload_fileobj fails when bucket is not specified\"\"\"\n        mock_client = MagicMock()\n        mock_boto3.client.return_value = mock_client\n\n        client = MinIOStorageClient(\n            endpoint=\"http://localhost:9000\",\n            access_key=\"minioadmin\",\n            secret_key=\"minioadmin\"\n        )\n\n        file_obj = BytesIO(b'test data')\n        success, result = client.upload_fileobj(file_obj, 'test.txt')\n\n        assert success is False\n        assert result == \"Bucket name is required\"\n\n    @patch('nexent.storage.minio.boto3')\n    def test_upload_fileobj_exception(self, mock_boto3):\n        \"\"\"Test upload_fileobj handles exceptions\"\"\"\n        mock_client = MagicMock()\n        mock_boto3.client.return_value = mock_client\n        mock_client.head_bucket.return_value = None\n        mock_client.upload_fileobj.side_effect = Exception(\"Upload failed\")\n\n        client = MinIOStorageClient(\n            endpoint=\"http://localhost:9000\",\n            access_key=\"minioadmin\",\n            secret_key=\"minioadmin\",\n            default_bucket=\"test-bucket\"\n        )\n\n        file_obj = BytesIO(b'test data')\n        success, result = client.upload_fileobj(file_obj, 'test.txt')\n\n        assert success is False\n        assert \"Upload failed\" in result\n\n\nclass TestMinIOStorageClientDownloadFile:\n    \"\"\"Test cases for download_file method\"\"\"\n\n    @patch('nexent.storage.minio.boto3')\n    def test_download_file_success(self, mock_boto3):\n        \"\"\"Test successful file download\"\"\"\n        mock_client = MagicMock()\n        mock_boto3.client.return_value = mock_client\n        mock_client.head_bucket.return_value = None\n\n        client = MinIOStorageClient(\n            endpoint=\"http://localhost:9000\",\n            access_key=\"minioadmin\",\n            secret_key=\"minioadmin\",\n            default_bucket=\"test-bucket\"\n        )\n\n        success, result = client.download_file('test.txt', '/path/to/download.txt', 'test-bucket')\n\n        assert success is True\n        assert \"downloaded successfully\" in result\n        mock_client.download_file.assert_called_once_with('test-bucket', 'test.txt', '/path/to/download.txt')\n\n    @patch('nexent.storage.minio.boto3')\n    def test_download_file_without_bucket(self, mock_boto3):\n        \"\"\"Test download_file fails when bucket is not specified\"\"\"\n        mock_client = MagicMock()\n        mock_boto3.client.return_value = mock_client\n\n        client = MinIOStorageClient(\n            endpoint=\"http://localhost:9000\",\n            access_key=\"minioadmin\",\n            secret_key=\"minioadmin\"\n        )\n\n        success, result = client.download_file('test.txt', '/path/to/download.txt')\n\n        assert success is False\n        assert result == \"Bucket name is required\"\n\n    @patch('nexent.storage.minio.boto3')\n    def test_download_file_exception(self, mock_boto3):\n        \"\"\"Test download_file handles exceptions\"\"\"\n        mock_client = MagicMock()\n        mock_boto3.client.return_value = mock_client\n        mock_client.head_bucket.return_value = None\n        mock_client.download_file.side_effect = Exception(\"Download failed\")\n\n        client = MinIOStorageClient(\n            endpoint=\"http://localhost:9000\",\n            access_key=\"minioadmin\",\n            secret_key=\"minioadmin\",\n            default_bucket=\"test-bucket\"\n        )\n\n        success, result = client.download_file('test.txt', '/path/to/download.txt')\n\n        assert success is False\n        assert \"Download failed\" in result\n\n\nclass TestMinIOStorageClientGetFileUrl:\n    \"\"\"Test cases for get_file_url method\"\"\"\n\n    @patch('nexent.storage.minio.boto3')\n    def test_get_file_url_success(self, mock_boto3):\n        \"\"\"Test successful presigned URL generation\"\"\"\n        mock_client = MagicMock()\n        mock_boto3.client.return_value = mock_client\n        mock_client.head_bucket.return_value = None\n        mock_client.generate_presigned_url.return_value = \"http://example.com/presigned-url\"\n\n        client = MinIOStorageClient(\n            endpoint=\"http://localhost:9000\",\n            access_key=\"minioadmin\",\n            secret_key=\"minioadmin\",\n            default_bucket=\"test-bucket\"\n        )\n\n        success, result = client.get_file_url('test.txt', 'test-bucket', 7200)\n\n        assert success is True\n        assert result == \"http://example.com/presigned-url\"\n        mock_client.generate_presigned_url.assert_called_once_with(\n            'get_object',\n            Params={'Bucket': 'test-bucket', 'Key': 'test.txt'},\n            ExpiresIn=7200\n        )\n\n    @patch('nexent.storage.minio.boto3')\n    def test_get_file_url_without_bucket(self, mock_boto3):\n        \"\"\"Test get_file_url fails when bucket is not specified\"\"\"\n        mock_client = MagicMock()\n        mock_boto3.client.return_value = mock_client\n\n        client = MinIOStorageClient(\n            endpoint=\"http://localhost:9000\",\n            access_key=\"minioadmin\",\n            secret_key=\"minioadmin\"\n        )\n\n        success, result = client.get_file_url('test.txt')\n\n        assert success is False\n        assert result == \"Bucket name is required\"\n\n    @patch('nexent.storage.minio.boto3')\n    def test_get_file_url_exception(self, mock_boto3):\n        \"\"\"Test get_file_url handles exceptions\"\"\"\n        mock_client = MagicMock()\n        mock_boto3.client.return_value = mock_client\n        mock_client.head_bucket.return_value = None\n        mock_client.generate_presigned_url.side_effect = Exception(\"URL generation failed\")\n\n        client = MinIOStorageClient(\n            endpoint=\"http://localhost:9000\",\n            access_key=\"minioadmin\",\n            secret_key=\"minioadmin\",\n            default_bucket=\"test-bucket\"\n        )\n\n        success, result = client.get_file_url('test.txt')\n\n        assert success is False\n        assert \"URL generation failed\" in result\n\n\nclass TestMinIOStorageClientGetFileStream:\n    \"\"\"Test cases for get_file_stream method\"\"\"\n\n    @patch('nexent.storage.minio.boto3')\n    def test_get_file_stream_success(self, mock_boto3):\n        \"\"\"Test successful file stream retrieval\"\"\"\n        mock_client = MagicMock()\n        mock_boto3.client.return_value = mock_client\n        mock_client.head_bucket.return_value = None\n        mock_stream = MagicMock()\n        mock_client.get_object.return_value = {'Body': mock_stream}\n\n        client = MinIOStorageClient(\n            endpoint=\"http://localhost:9000\",\n            access_key=\"minioadmin\",\n            secret_key=\"minioadmin\",\n            default_bucket=\"test-bucket\"\n        )\n\n        success, result = client.get_file_stream('test.txt', 'test-bucket')\n\n        assert success is True\n        assert result == mock_stream\n        mock_client.get_object.assert_called_once_with(Bucket='test-bucket', Key='test.txt')\n\n    @patch('nexent.storage.minio.boto3')\n    def test_get_file_stream_without_bucket(self, mock_boto3):\n        \"\"\"Test get_file_stream fails when bucket is not specified\"\"\"\n        mock_client = MagicMock()\n        mock_boto3.client.return_value = mock_client\n\n        client = MinIOStorageClient(\n            endpoint=\"http://localhost:9000\",\n            access_key=\"minioadmin\",\n            secret_key=\"minioadmin\"\n        )\n\n        success, result = client.get_file_stream('test.txt')\n\n        assert success is False\n        assert result == \"Bucket name is required\"\n\n    @patch('nexent.storage.minio.boto3')\n    def test_get_file_stream_not_found(self, mock_boto3):\n        \"\"\"Test get_file_stream handles 404 error (file not found)\"\"\"\n        mock_client = MagicMock()\n        mock_boto3.client.return_value = mock_client\n        mock_client.head_bucket.return_value = None\n        \n        error_404 = ClientError(\n            {'Error': {'Code': '404', 'Message': 'Not Found'}},\n            'GetObject'\n        )\n        mock_client.get_object.side_effect = error_404\n\n        client = MinIOStorageClient(\n            endpoint=\"http://localhost:9000\",\n            access_key=\"minioadmin\",\n            secret_key=\"minioadmin\",\n            default_bucket=\"test-bucket\"\n        )\n\n        success, result = client.get_file_stream('test.txt')\n\n        assert success is False\n        assert \"File not found\" in result\n\n    @patch('nexent.storage.minio.boto3')\n    def test_get_file_stream_permission_error(self, mock_boto3):\n        \"\"\"Test get_file_stream handles permission errors\"\"\"\n        mock_client = MagicMock()\n        mock_boto3.client.return_value = mock_client\n        mock_client.head_bucket.return_value = None\n        \n        error_403 = ClientError(\n            {'Error': {'Code': '403', 'Message': 'Forbidden'}},\n            'GetObject'\n        )\n        mock_client.get_object.side_effect = error_403\n\n        client = MinIOStorageClient(\n            endpoint=\"http://localhost:9000\",\n            access_key=\"minioadmin\",\n            secret_key=\"minioadmin\",\n            default_bucket=\"test-bucket\"\n        )\n\n        success, result = client.get_file_stream('test.txt')\n\n        assert success is False\n        assert \"Failed to get file stream\" in result\n\n    @patch('nexent.storage.minio.boto3')\n    def test_get_file_stream_unexpected_error(self, mock_boto3):\n        \"\"\"Test get_file_stream handles unexpected errors\"\"\"\n        mock_client = MagicMock()\n        mock_boto3.client.return_value = mock_client\n        mock_client.head_bucket.return_value = None\n        mock_client.get_object.side_effect = Exception(\"Unexpected error\")\n\n        client = MinIOStorageClient(\n            endpoint=\"http://localhost:9000\",\n            access_key=\"minioadmin\",\n            secret_key=\"minioadmin\",\n            default_bucket=\"test-bucket\"\n        )\n\n        success, result = client.get_file_stream('test.txt')\n\n        assert success is False\n        assert \"Unexpected error\" in result\n\n\nclass TestMinIOStorageClientGetFileSize:\n    \"\"\"Test cases for get_file_size method\"\"\"\n\n    @patch('nexent.storage.minio.boto3')\n    def test_get_file_size_success(self, mock_boto3):\n        \"\"\"Test successful file size retrieval\"\"\"\n        mock_client = MagicMock()\n        mock_boto3.client.return_value = mock_client\n        mock_client.head_bucket.return_value = None\n        mock_client.head_object.return_value = {'ContentLength': 1024}\n\n        client = MinIOStorageClient(\n            endpoint=\"http://localhost:9000\",\n            access_key=\"minioadmin\",\n            secret_key=\"minioadmin\",\n            default_bucket=\"test-bucket\"\n        )\n\n        size = client.get_file_size('test.txt', 'test-bucket')\n\n        assert size == 1024\n        mock_client.head_object.assert_called_once_with(Bucket='test-bucket', Key='test.txt')\n\n    @patch('nexent.storage.minio.boto3')\n    def test_get_file_size_without_bucket(self, mock_boto3):\n        \"\"\"Test get_file_size returns 0 when bucket is not specified\"\"\"\n        mock_client = MagicMock()\n        mock_boto3.client.return_value = mock_client\n\n        client = MinIOStorageClient(\n            endpoint=\"http://localhost:9000\",\n            access_key=\"minioadmin\",\n            secret_key=\"minioadmin\"\n        )\n\n        size = client.get_file_size('test.txt')\n\n        assert size == 0\n\n    @patch('nexent.storage.minio.boto3')\n    def test_get_file_size_not_found(self, mock_boto3):\n        \"\"\"Test get_file_size handles 404 error (file not found)\"\"\"\n        mock_client = MagicMock()\n        mock_boto3.client.return_value = mock_client\n        mock_client.head_bucket.return_value = None\n        \n        error_404 = ClientError(\n            {'Error': {'Code': '404', 'Message': 'Not Found'}},\n            'HeadObject'\n        )\n        mock_client.head_object.side_effect = error_404\n\n        client = MinIOStorageClient(\n            endpoint=\"http://localhost:9000\",\n            access_key=\"minioadmin\",\n            secret_key=\"minioadmin\",\n            default_bucket=\"test-bucket\"\n        )\n\n        size = client.get_file_size('test.txt')\n\n        assert size == 0\n\n    @patch('nexent.storage.minio.boto3')\n    def test_get_file_size_permission_error(self, mock_boto3):\n        \"\"\"Test get_file_size handles permission errors\"\"\"\n        mock_client = MagicMock()\n        mock_boto3.client.return_value = mock_client\n        mock_client.head_bucket.return_value = None\n        \n        error_403 = ClientError(\n            {'Error': {'Code': '403', 'Message': 'Forbidden'}},\n            'HeadObject'\n        )\n        mock_client.head_object.side_effect = error_403\n\n        client = MinIOStorageClient(\n            endpoint=\"http://localhost:9000\",\n            access_key=\"minioadmin\",\n            secret_key=\"minioadmin\",\n            default_bucket=\"test-bucket\"\n        )\n\n        size = client.get_file_size('test.txt')\n\n        assert size == 0\n\n\nclass TestMinIOStorageClientListFiles:\n    \"\"\"Test cases for list_files method\"\"\"\n\n    @patch('nexent.storage.minio.boto3')\n    def test_list_files_success(self, mock_boto3):\n        \"\"\"Test successful file listing\"\"\"\n        mock_client = MagicMock()\n        mock_boto3.client.return_value = mock_client\n        mock_client.head_bucket.return_value = None\n        \n        from datetime import datetime\n        mock_client.list_objects_v2.return_value = {\n            'Contents': [\n                {\n                    'Key': 'file1.txt',\n                    'Size': 100,\n                    'LastModified': datetime(2024, 1, 1)\n                },\n                {\n                    'Key': 'file2.txt',\n                    'Size': 200,\n                    'LastModified': datetime(2024, 1, 2)\n                }\n            ]\n        }\n\n        client = MinIOStorageClient(\n            endpoint=\"http://localhost:9000\",\n            access_key=\"minioadmin\",\n            secret_key=\"minioadmin\",\n            default_bucket=\"test-bucket\"\n        )\n\n        files = client.list_files('prefix/', 'test-bucket')\n\n        assert len(files) == 2\n        assert files[0]['key'] == 'file1.txt'\n        assert files[0]['size'] == 100\n        assert files[1]['key'] == 'file2.txt'\n        assert files[1]['size'] == 200\n        mock_client.list_objects_v2.assert_called_once_with(\n            Bucket='test-bucket',\n            Prefix='prefix/'\n        )\n\n    @patch('nexent.storage.minio.boto3')\n    def test_list_files_empty(self, mock_boto3):\n        \"\"\"Test list_files returns empty list when no files found\"\"\"\n        mock_client = MagicMock()\n        mock_boto3.client.return_value = mock_client\n        mock_client.head_bucket.return_value = None\n        mock_client.list_objects_v2.return_value = {}\n\n        client = MinIOStorageClient(\n            endpoint=\"http://localhost:9000\",\n            access_key=\"minioadmin\",\n            secret_key=\"minioadmin\",\n            default_bucket=\"test-bucket\"\n        )\n\n        files = client.list_files('prefix/', 'test-bucket')\n\n        assert files == []\n\n    @patch('nexent.storage.minio.boto3')\n    def test_list_files_without_bucket(self, mock_boto3):\n        \"\"\"Test list_files returns empty list when bucket is not specified\"\"\"\n        mock_client = MagicMock()\n        mock_boto3.client.return_value = mock_client\n\n        client = MinIOStorageClient(\n            endpoint=\"http://localhost:9000\",\n            access_key=\"minioadmin\",\n            secret_key=\"minioadmin\"\n        )\n\n        files = client.list_files('prefix/')\n\n        assert files == []\n\n    @patch('nexent.storage.minio.boto3')\n    def test_list_files_exception(self, mock_boto3):\n        \"\"\"Test list_files handles exceptions\"\"\"\n        mock_client = MagicMock()\n        mock_boto3.client.return_value = mock_client\n        mock_client.head_bucket.return_value = None\n        mock_client.list_objects_v2.side_effect = Exception(\"List failed\")\n\n        client = MinIOStorageClient(\n            endpoint=\"http://localhost:9000\",\n            access_key=\"minioadmin\",\n            secret_key=\"minioadmin\",\n            default_bucket=\"test-bucket\"\n        )\n\n        files = client.list_files('prefix/')\n\n        assert files == []\n\n\nclass TestMinIOStorageClientDeleteFile:\n    \"\"\"Test cases for delete_file method\"\"\"\n\n    @patch('nexent.storage.minio.boto3')\n    def test_delete_file_success(self, mock_boto3):\n        \"\"\"Test successful file deletion\"\"\"\n        mock_client = MagicMock()\n        mock_boto3.client.return_value = mock_client\n        mock_client.head_bucket.return_value = None\n\n        client = MinIOStorageClient(\n            endpoint=\"http://localhost:9000\",\n            access_key=\"minioadmin\",\n            secret_key=\"minioadmin\",\n            default_bucket=\"test-bucket\"\n        )\n\n        success, result = client.delete_file('test.txt', 'test-bucket')\n\n        assert success is True\n        assert \"deleted successfully\" in result\n        mock_client.delete_object.assert_called_once_with(Bucket='test-bucket', Key='test.txt')\n\n    @patch('nexent.storage.minio.boto3')\n    def test_delete_file_without_bucket(self, mock_boto3):\n        \"\"\"Test delete_file fails when bucket is not specified\"\"\"\n        mock_client = MagicMock()\n        mock_boto3.client.return_value = mock_client\n\n        client = MinIOStorageClient(\n            endpoint=\"http://localhost:9000\",\n            access_key=\"minioadmin\",\n            secret_key=\"minioadmin\"\n        )\n\n        success, result = client.delete_file('test.txt')\n\n        assert success is False\n        assert result == \"Bucket name is required\"\n\n    @patch('nexent.storage.minio.boto3')\n    def test_delete_file_not_found(self, mock_boto3):\n        \"\"\"Test delete_file handles 404 error (file not found - idempotent)\"\"\"\n        mock_client = MagicMock()\n        mock_boto3.client.return_value = mock_client\n        mock_client.head_bucket.return_value = None\n        \n        error_404 = ClientError(\n            {'Error': {'Code': '404', 'Message': 'Not Found'}},\n            'DeleteObject'\n        )\n        mock_client.delete_object.side_effect = error_404\n\n        client = MinIOStorageClient(\n            endpoint=\"http://localhost:9000\",\n            access_key=\"minioadmin\",\n            secret_key=\"minioadmin\",\n            default_bucket=\"test-bucket\"\n        )\n\n        success, result = client.delete_file('test.txt')\n\n        assert success is True\n        assert \"does not exist\" in result\n\n    @patch('nexent.storage.minio.boto3')\n    def test_delete_file_permission_error(self, mock_boto3):\n        \"\"\"Test delete_file handles permission errors\"\"\"\n        mock_client = MagicMock()\n        mock_boto3.client.return_value = mock_client\n        mock_client.head_bucket.return_value = None\n        \n        error_403 = ClientError(\n            {'Error': {'Code': '403', 'Message': 'Forbidden'}},\n            'DeleteObject'\n        )\n        mock_client.delete_object.side_effect = error_403\n\n        client = MinIOStorageClient(\n            endpoint=\"http://localhost:9000\",\n            access_key=\"minioadmin\",\n            secret_key=\"minioadmin\",\n            default_bucket=\"test-bucket\"\n        )\n\n        success, result = client.delete_file('test.txt')\n\n        assert success is False\n        assert \"Forbidden\" in result\n\n    @patch('nexent.storage.minio.boto3')\n    def test_delete_file_unexpected_error(self, mock_boto3):\n        \"\"\"Test delete_file handles unexpected errors\"\"\"\n        mock_client = MagicMock()\n        mock_boto3.client.return_value = mock_client\n        mock_client.head_bucket.return_value = None\n        mock_client.delete_object.side_effect = Exception(\"Unexpected error\")\n\n        client = MinIOStorageClient(\n            endpoint=\"http://localhost:9000\",\n            access_key=\"minioadmin\",\n            secret_key=\"minioadmin\",\n            default_bucket=\"test-bucket\"\n        )\n\n        success, result = client.delete_file('test.txt')\n\n        assert success is False\n        assert \"Unexpected error\" in result\n\n\nclass TestMinIOStorageClientExists:\n    \"\"\"Test cases for exists method\"\"\"\n\n    @patch('nexent.storage.minio.boto3')\n    def test_exists_true(self, mock_boto3):\n        \"\"\"Test exists returns True when file exists\"\"\"\n        mock_client = MagicMock()\n        mock_boto3.client.return_value = mock_client\n        mock_client.head_bucket.return_value = None\n        mock_client.head_object.return_value = {}\n\n        client = MinIOStorageClient(\n            endpoint=\"http://localhost:9000\",\n            access_key=\"minioadmin\",\n            secret_key=\"minioadmin\",\n            default_bucket=\"test-bucket\"\n        )\n\n        exists = client.exists('test.txt', 'test-bucket')\n\n        assert exists is True\n        mock_client.head_object.assert_called_once_with(Bucket='test-bucket', Key='test.txt')\n\n    @patch('nexent.storage.minio.boto3')\n    def test_exists_false(self, mock_boto3):\n        \"\"\"Test exists returns False when file doesn't exist\"\"\"\n        mock_client = MagicMock()\n        mock_boto3.client.return_value = mock_client\n        mock_client.head_bucket.return_value = None\n        \n        error_404 = ClientError(\n            {'Error': {'Code': '404', 'Message': 'Not Found'}},\n            'HeadObject'\n        )\n        mock_client.head_object.side_effect = error_404\n\n        client = MinIOStorageClient(\n            endpoint=\"http://localhost:9000\",\n            access_key=\"minioadmin\",\n            secret_key=\"minioadmin\",\n            default_bucket=\"test-bucket\"\n        )\n\n        exists = client.exists('test.txt')\n\n        assert exists is False\n\n    @patch('nexent.storage.minio.boto3')\n    def test_exists_without_bucket(self, mock_boto3):\n        \"\"\"Test exists returns False when bucket is not specified\"\"\"\n        mock_client = MagicMock()\n        mock_boto3.client.return_value = mock_client\n\n        client = MinIOStorageClient(\n            endpoint=\"http://localhost:9000\",\n            access_key=\"minioadmin\",\n            secret_key=\"minioadmin\"\n        )\n\n        exists = client.exists('test.txt')\n\n        assert exists is False\n\n\nclass TestMinIOStorageClientCopyFile:\n    \"\"\"Test cases for copy_file method\"\"\"\n\n    @patch('nexent.storage.minio.boto3')\n    def test_copy_file_success(self, mock_boto3):\n        \"\"\"Test successful file copy within the same bucket\"\"\"\n        mock_client = MagicMock()\n        mock_boto3.client.return_value = mock_client\n        mock_client.head_bucket.return_value = None\n\n        client = MinIOStorageClient(\n            endpoint=\"http://localhost:9000\",\n            access_key=\"minioadmin\",\n            secret_key=\"minioadmin\",\n            default_bucket=\"test-bucket\"\n        )\n\n        success, result = client.copy_file('src.txt', 'dst.txt', 'test-bucket')\n\n        assert success is True\n        assert result == 'dst.txt'\n        mock_client.copy_object.assert_called_once_with(\n            Bucket='test-bucket',\n            Key='dst.txt',\n            CopySource={'Bucket': 'test-bucket', 'Key': 'src.txt'}\n        )\n\n    @patch('nexent.storage.minio.boto3')\n    def test_copy_file_uses_default_bucket(self, mock_boto3):\n        \"\"\"Test copy_file falls back to default bucket when bucket is not specified\"\"\"\n        mock_client = MagicMock()\n        mock_boto3.client.return_value = mock_client\n        mock_client.head_bucket.return_value = None\n\n        client = MinIOStorageClient(\n            endpoint=\"http://localhost:9000\",\n            access_key=\"minioadmin\",\n            secret_key=\"minioadmin\",\n            default_bucket=\"test-bucket\"\n        )\n\n        success, result = client.copy_file('src.txt', 'dst.txt')\n\n        assert success is True\n        assert result == 'dst.txt'\n        mock_client.copy_object.assert_called_once_with(\n            Bucket='test-bucket',\n            Key='dst.txt',\n            CopySource={'Bucket': 'test-bucket', 'Key': 'src.txt'}\n        )\n\n    @patch('nexent.storage.minio.boto3')\n    def test_copy_file_without_bucket(self, mock_boto3):\n        \"\"\"Test copy_file fails when no bucket is configured\"\"\"\n        mock_client = MagicMock()\n        mock_boto3.client.return_value = mock_client\n\n        client = MinIOStorageClient(\n            endpoint=\"http://localhost:9000\",\n            access_key=\"minioadmin\",\n            secret_key=\"minioadmin\"\n        )\n\n        success, result = client.copy_file('src.txt', 'dst.txt')\n\n        assert success is False\n        assert result == \"Bucket name is required\"\n        mock_client.copy_object.assert_not_called()\n\n    @patch('nexent.storage.minio.boto3')\n    def test_copy_file_exception(self, mock_boto3):\n        \"\"\"Test copy_file returns failure on unexpected exception\"\"\"\n        mock_client = MagicMock()\n        mock_boto3.client.return_value = mock_client\n        mock_client.head_bucket.return_value = None\n        mock_client.copy_object.side_effect = Exception(\"copy failed\")\n\n        client = MinIOStorageClient(\n            endpoint=\"http://localhost:9000\",\n            access_key=\"minioadmin\",\n            secret_key=\"minioadmin\",\n            default_bucket=\"test-bucket\"\n        )\n\n        success, result = client.copy_file('src.txt', 'dst.txt')\n\n        assert success is False\n        assert \"copy failed\" in result\n"
  },
  {
    "path": "test/sdk/storage/test_minio_config.py",
    "content": "\"\"\"\nUnit tests for minio_config.py\nTests the MinIOStorageConfig class\n\"\"\"\n\nimport pytest\nfrom nexent.storage.minio_config import MinIOStorageConfig\nfrom nexent.storage.storage_client_base import StorageType\n\n\nclass TestMinIOStorageConfig:\n    \"\"\"Test cases for MinIOStorageConfig class\"\"\"\n\n    def test_init_with_all_parameters(self):\n        \"\"\"Test initialization with all parameters\"\"\"\n        config = MinIOStorageConfig(\n            endpoint=\"http://localhost:9000\",\n            access_key=\"minioadmin\",\n            secret_key=\"minioadmin\",\n            region=\"us-east-1\",\n            default_bucket=\"test-bucket\",\n            secure=False\n        )\n        \n        assert config.endpoint == \"http://localhost:9000\"\n        assert config.access_key == \"minioadmin\"\n        assert config.secret_key == \"minioadmin\"\n        assert config.region == \"us-east-1\"\n        assert config.default_bucket == \"test-bucket\"\n        assert config.secure is False\n\n    def test_init_with_minimal_parameters(self):\n        \"\"\"Test initialization with minimal required parameters\"\"\"\n        config = MinIOStorageConfig(\n            endpoint=\"http://localhost:9000\",\n            access_key=\"minioadmin\",\n            secret_key=\"minioadmin\"\n        )\n        \n        assert config.endpoint == \"http://localhost:9000\"\n        assert config.access_key == \"minioadmin\"\n        assert config.secret_key == \"minioadmin\"\n        assert config.region is None\n        assert config.default_bucket is None\n        assert config.secure is True  # Default value\n\n    def test_storage_type_property(self):\n        \"\"\"Test storage_type property returns MINIO\"\"\"\n        config = MinIOStorageConfig(\n            endpoint=\"http://localhost:9000\",\n            access_key=\"minioadmin\",\n            secret_key=\"minioadmin\"\n        )\n        \n        assert config.storage_type == StorageType.MINIO\n\n    def test_properties(self):\n        \"\"\"Test all property getters\"\"\"\n        config = MinIOStorageConfig(\n            endpoint=\"https://minio.example.com\",\n            access_key=\"access123\",\n            secret_key=\"secret456\",\n            region=\"eu-west-1\",\n            default_bucket=\"my-bucket\",\n            secure=True\n        )\n        \n        assert config.endpoint == \"https://minio.example.com\"\n        assert config.access_key == \"access123\"\n        assert config.secret_key == \"secret456\"\n        assert config.region == \"eu-west-1\"\n        assert config.default_bucket == \"my-bucket\"\n        assert config.secure is True\n\n    def test_validate_success(self):\n        \"\"\"Test validation with all required parameters\"\"\"\n        config = MinIOStorageConfig(\n            endpoint=\"http://localhost:9000\",\n            access_key=\"minioadmin\",\n            secret_key=\"minioadmin\"\n        )\n        \n        # Should not raise any exception\n        config.validate()\n\n    def test_validate_missing_endpoint(self):\n        \"\"\"Test validation fails when endpoint is missing\"\"\"\n        config = MinIOStorageConfig(\n            endpoint=\"\",\n            access_key=\"minioadmin\",\n            secret_key=\"minioadmin\"\n        )\n        \n        with pytest.raises(ValueError, match=\"endpoint is required\"):\n            config.validate()\n\n    def test_validate_missing_access_key(self):\n        \"\"\"Test validation fails when access_key is missing\"\"\"\n        config = MinIOStorageConfig(\n            endpoint=\"http://localhost:9000\",\n            access_key=\"\",\n            secret_key=\"minioadmin\"\n        )\n        \n        with pytest.raises(ValueError, match=\"access_key is required\"):\n            config.validate()\n\n    def test_validate_missing_secret_key(self):\n        \"\"\"Test validation fails when secret_key is missing\"\"\"\n        config = MinIOStorageConfig(\n            endpoint=\"http://localhost:9000\",\n            access_key=\"minioadmin\",\n            secret_key=\"\"\n        )\n        \n        with pytest.raises(ValueError, match=\"secret_key is required\"):\n            config.validate()\n\n    def test_validate_none_endpoint(self):\n        \"\"\"Test validation fails when endpoint is None\"\"\"\n        config = MinIOStorageConfig(\n            endpoint=None,\n            access_key=\"minioadmin\",\n            secret_key=\"minioadmin\"\n        )\n        \n        with pytest.raises(ValueError, match=\"endpoint is required\"):\n            config.validate()\n\n    def test_validate_none_access_key(self):\n        \"\"\"Test validation fails when access_key is None\"\"\"\n        config = MinIOStorageConfig(\n            endpoint=\"http://localhost:9000\",\n            access_key=None,\n            secret_key=\"minioadmin\"\n        )\n        \n        with pytest.raises(ValueError, match=\"access_key is required\"):\n            config.validate()\n\n    def test_validate_none_secret_key(self):\n        \"\"\"Test validation fails when secret_key is None\"\"\"\n        config = MinIOStorageConfig(\n            endpoint=\"http://localhost:9000\",\n            access_key=\"minioadmin\",\n            secret_key=None\n        )\n        \n        with pytest.raises(ValueError, match=\"secret_key is required\"):\n            config.validate()\n\n    def test_property_access_after_init(self):\n        \"\"\"Test that properties can be accessed after initialization\"\"\"\n        config = MinIOStorageConfig(\n            endpoint=\"http://localhost:9000\",\n            access_key=\"key1\",\n            secret_key=\"secret1\",\n            region=\"us-west-2\",\n            default_bucket=\"bucket1\",\n            secure=False\n        )\n        \n        # Test all properties are accessible\n        assert config.storage_type == StorageType.MINIO\n        assert config.endpoint == \"http://localhost:9000\"\n        assert config.access_key == \"key1\"\n        assert config.secret_key == \"secret1\"\n        assert config.region == \"us-west-2\"\n        assert config.default_bucket == \"bucket1\"\n        assert config.secure is False\n\n    def test_init_with_https_endpoint(self):\n        \"\"\"Test initialization with HTTPS endpoint\"\"\"\n        config = MinIOStorageConfig(\n            endpoint=\"https://minio.example.com:9000\",\n            access_key=\"minioadmin\",\n            secret_key=\"minioadmin\",\n            secure=True\n        )\n        \n        assert config.endpoint == \"https://minio.example.com:9000\"\n        assert config.secure is True\n\n    def test_init_with_http_endpoint_secure_false(self):\n        \"\"\"Test initialization with HTTP endpoint and secure=False\"\"\"\n        config = MinIOStorageConfig(\n            endpoint=\"http://localhost:9000\",\n            access_key=\"minioadmin\",\n            secret_key=\"minioadmin\",\n            secure=False\n        )\n        \n        assert config.endpoint == \"http://localhost:9000\"\n        assert config.secure is False\n\n"
  },
  {
    "path": "test/sdk/storage/test_storage_client_factory.py",
    "content": "\"\"\"\nUnit tests for storage_client_factory.py\nTests the create_storage_client_from_config function\n\"\"\"\n\nimport pytest\nfrom unittest.mock import MagicMock, patch\nfrom nexent.storage.storage_client_factory import create_storage_client_from_config\nfrom nexent.storage.minio_config import MinIOStorageConfig\nfrom nexent.storage.storage_client_base import StorageType\n\n\nclass TestCreateStorageClientFromConfig:\n    \"\"\"Test cases for create_storage_client_from_config function\"\"\"\n\n    @patch('nexent.storage.storage_client_factory.MinIOStorageClient')\n    def test_create_minio_client_success(self, mock_minio_client_class):\n        \"\"\"Test creating MinIO client with valid config\"\"\"\n        # Setup\n        mock_client_instance = MagicMock()\n        mock_minio_client_class.return_value = mock_client_instance\n        \n        config = MinIOStorageConfig(\n            endpoint=\"http://localhost:9000\",\n            access_key=\"minioadmin\",\n            secret_key=\"minioadmin\",\n            region=\"us-east-1\",\n            default_bucket=\"test-bucket\",\n            secure=False\n        )\n        \n        # Execute\n        result = create_storage_client_from_config(config)\n        \n        # Assert\n        assert result == mock_client_instance\n        mock_minio_client_class.assert_called_once_with(\n            endpoint=\"http://localhost:9000\",\n            access_key=\"minioadmin\",\n            secret_key=\"minioadmin\",\n            region=\"us-east-1\",\n            default_bucket=\"test-bucket\",\n            secure=False\n        )\n\n    @patch('nexent.storage.storage_client_factory.MinIOStorageClient')\n    def test_create_minio_client_with_defaults(self, mock_minio_client_class):\n        \"\"\"Test creating MinIO client with default values\"\"\"\n        # Setup\n        mock_client_instance = MagicMock()\n        mock_minio_client_class.return_value = mock_client_instance\n        \n        config = MinIOStorageConfig(\n            endpoint=\"http://localhost:9000\",\n            access_key=\"minioadmin\",\n            secret_key=\"minioadmin\"\n        )\n        \n        # Execute\n        result = create_storage_client_from_config(config)\n        \n        # Assert\n        assert result == mock_client_instance\n        mock_minio_client_class.assert_called_once_with(\n            endpoint=\"http://localhost:9000\",\n            access_key=\"minioadmin\",\n            secret_key=\"minioadmin\",\n            region=None,\n            default_bucket=None,\n            secure=True\n        )\n\n    def test_create_client_invalid_config_type(self):\n        \"\"\"Test creating client with wrong config type for storage type\"\"\"\n        # Create a mock config that claims to be MINIO but isn't MinIOStorageConfig\n        class FakeConfig:\n            @property\n            def storage_type(self):\n                return StorageType.MINIO\n            \n            def validate(self):\n                pass\n        \n        config = FakeConfig()\n        \n        # Execute and assert\n        with pytest.raises(ValueError, match=\"Expected MinIOStorageConfig\"):\n            create_storage_client_from_config(config)\n\n    def test_create_client_unsupported_storage_type(self):\n        \"\"\"Test creating client with unsupported storage type\"\"\"\n        # Create a mock config with unsupported storage type\n        class UnsupportedConfig:\n            @property\n            def storage_type(self):\n                # Create a fake StorageType enum value\n                class FakeStorageType:\n                    def __init__(self):\n                        self.value = \"unsupported\"\n                \n                return FakeStorageType()\n            \n            def validate(self):\n                pass\n        \n        config = UnsupportedConfig()\n        \n        # Execute and assert\n        with pytest.raises(ValueError, match=\"Unsupported storage type\"):\n            create_storage_client_from_config(config)\n\n    def test_create_client_validation_failure(self):\n        \"\"\"Test that validation is called before creating client\"\"\"\n        config = MinIOStorageConfig(\n            endpoint=\"\",  # Invalid - will fail validation\n            access_key=\"minioadmin\",\n            secret_key=\"minioadmin\"\n        )\n        \n        # Execute and assert\n        with pytest.raises(ValueError, match=\"endpoint is required\"):\n            create_storage_client_from_config(config)\n\n    @patch('nexent.storage.storage_client_factory.MinIOStorageClient')\n    def test_create_client_handles_client_initialization_error(self, mock_minio_client_class):\n        \"\"\"Test handling of client initialization errors\"\"\"\n        # Setup\n        mock_minio_client_class.side_effect = Exception(\"Connection failed\")\n        \n        config = MinIOStorageConfig(\n            endpoint=\"http://localhost:9000\",\n            access_key=\"minioadmin\",\n            secret_key=\"minioadmin\"\n        )\n        \n        # Execute and assert\n        with pytest.raises(Exception, match=\"Connection failed\"):\n            create_storage_client_from_config(config)\n\n    @patch('nexent.storage.storage_client_factory.MinIOStorageClient')\n    def test_create_minio_client_with_https_endpoint(self, mock_minio_client_class):\n        \"\"\"Test creating MinIO client with HTTPS endpoint\"\"\"\n        mock_client_instance = MagicMock()\n        mock_minio_client_class.return_value = mock_client_instance\n        \n        config = MinIOStorageConfig(\n            endpoint=\"https://minio.example.com:9000\",\n            access_key=\"minioadmin\",\n            secret_key=\"minioadmin\",\n            secure=True\n        )\n        \n        result = create_storage_client_from_config(config)\n        \n        assert result == mock_client_instance\n        mock_minio_client_class.assert_called_once_with(\n            endpoint=\"https://minio.example.com:9000\",\n            access_key=\"minioadmin\",\n            secret_key=\"minioadmin\",\n            region=None,\n            default_bucket=None,\n            secure=True\n        )\n\n    def test_create_client_with_none_config(self):\n        \"\"\"Test creating client with None config raises error\"\"\"\n        with pytest.raises((AttributeError, TypeError)):\n            create_storage_client_from_config(None)\n\n"
  },
  {
    "path": "test/sdk/utils/test_http_client_manager.py",
    "content": "\"\"\"\nTests for HTTP Client Manager module.\n\nThis module tests the HttpClientManager class including:\n- Singleton pattern implementation\n- HTTP client creation and caching\n- Context manager support (new feature)\n- Client lifecycle management\n- Statistics and configuration retrieval\n\"\"\"\nimport pytest\nfrom unittest.mock import patch, MagicMock\n\n\ndef _reset_singleton():\n    \"\"\"Reset the singleton state for test isolation.\"\"\"\n    import sys\n    from nexent.utils.http_client_manager import HttpClientManager\n\n    # Get the module for updating the global http_client_manager reference\n    module = sys.modules.get(\"nexent.utils.http_client_manager\")\n\n    # Get the existing instance before resetting\n    instance = HttpClientManager._instance\n    if instance is not None:\n        # Close all clients properly before clearing\n        for client in list(instance._clients.values()):\n            try:\n                client.close()\n            except Exception:\n                pass\n        for client in list(instance._async_clients.values()):\n            try:\n                # Use close() for async clients in sync context\n                if hasattr(client, 'close'):\n                    client.close()\n            except Exception:\n                pass\n        # Clear the instance's internal state\n        instance._clients.clear()\n        instance._async_clients.clear()\n        instance._configs.clear()\n        # Reset instance-level initialized flag\n        instance._initialized = False\n    # Reset class-level singleton variables\n    HttpClientManager._instance = None\n\n    # Update the module-level http_client_manager to point to a fresh instance\n    # This ensures tests get a completely new singleton state\n    if module is not None:\n        # Force module reload to get a fresh singleton\n        fresh_manager = HttpClientManager()\n        module.http_client_manager = fresh_manager\n\n\nclass TestHttpClientManagerSingleton:\n    \"\"\"Test singleton pattern implementation.\"\"\"\n\n    def test_singleton_returns_same_instance(self):\n        \"\"\"Test that HttpClientManager returns the same instance.\"\"\"\n        _reset_singleton()\n        from nexent.utils.http_client_manager import HttpClientManager\n\n        manager1 = HttpClientManager()\n        manager2 = HttpClientManager()\n\n        assert manager1 is manager2\n\n    def test_singleton_thread_safety(self):\n        \"\"\"Test that singleton initialization is thread-safe.\"\"\"\n        _reset_singleton()\n        from nexent.utils.http_client_manager import HttpClientManager\n        import threading\n\n        instances = []\n        barrier = threading.Barrier(10)\n\n        def create_instance():\n            barrier.wait()\n            instances.append(HttpClientManager())\n\n        threads = [threading.Thread(target=create_instance) for _ in range(10)]\n        for t in threads:\n            t.start()\n        for t in threads:\n            t.join()\n\n        # All instances should be the same object\n        first_instance = instances[0]\n        for instance in instances[1:]:\n            assert instance is first_instance\n\n\nclass TestHttpClientManagerSyncClient:\n    \"\"\"Test synchronous HTTP client management.\"\"\"\n\n    def test_get_sync_client_creates_new_client(self):\n        \"\"\"Test that get_sync_client creates a new client for new config.\"\"\"\n        _reset_singleton()\n        from nexent.utils.http_client_manager import http_client_manager\n\n        client = http_client_manager.get_sync_client(\n            base_url=\"https://api.example.com\",\n            timeout=30.0,\n            verify_ssl=True\n        )\n\n        assert client is not None\n        stats = http_client_manager.get_stats()\n        assert stats[\"sync_clients_count\"] == 1\n\n    def test_get_sync_client_returns_cached_client(self):\n        \"\"\"Test that get_sync_client returns the same client for same config.\"\"\"\n        _reset_singleton()\n        from nexent.utils.http_client_manager import http_client_manager\n\n        client1 = http_client_manager.get_sync_client(\n            base_url=\"https://api.example.com\",\n            timeout=30.0,\n            verify_ssl=True\n        )\n        client2 = http_client_manager.get_sync_client(\n            base_url=\"https://api.example.com\",\n            timeout=30.0,\n            verify_ssl=True\n        )\n\n        assert client1 is client2\n        # Only one client despite 2 calls\n        assert http_client_manager.get_stats()[\"sync_clients_count\"] == 1\n\n    def test_get_sync_client_different_timeout_creates_new_client(self):\n        \"\"\"Test that different timeout creates a new client.\"\"\"\n        _reset_singleton()\n        from nexent.utils.http_client_manager import http_client_manager\n\n        client1 = http_client_manager.get_sync_client(\n            base_url=\"https://api.example.com\",\n            timeout=30.0,\n            verify_ssl=True\n        )\n        client2 = http_client_manager.get_sync_client(\n            base_url=\"https://api.example.com\",\n            timeout=60.0,\n            verify_ssl=True\n        )\n\n        assert client1 is not client2\n        assert http_client_manager.get_stats()[\"sync_clients_count\"] == 2\n\n    def test_get_sync_client_different_verify_ssl_creates_new_client(self):\n        \"\"\"Test that different verify_ssl creates a new client.\"\"\"\n        _reset_singleton()\n        from nexent.utils.http_client_manager import http_client_manager\n\n        client1 = http_client_manager.get_sync_client(\n            base_url=\"https://api.example.com\",\n            timeout=30.0,\n            verify_ssl=True\n        )\n        client2 = http_client_manager.get_sync_client(\n            base_url=\"https://api.example.com\",\n            timeout=30.0,\n            verify_ssl=False\n        )\n\n        assert client1 is not client2\n        assert http_client_manager.get_stats()[\"sync_clients_count\"] == 2\n\n    def test_get_sync_client_different_base_url_creates_new_client(self):\n        \"\"\"Test that different base_url creates a new client.\"\"\"\n        _reset_singleton()\n        from nexent.utils.http_client_manager import http_client_manager\n\n        client1 = http_client_manager.get_sync_client(\n            base_url=\"https://api1.example.com\",\n            timeout=30.0,\n            verify_ssl=True\n        )\n        client2 = http_client_manager.get_sync_client(\n            base_url=\"https://api2.example.com\",\n            timeout=30.0,\n            verify_ssl=True\n        )\n\n        assert client1 is not client2\n        assert http_client_manager.get_stats()[\"sync_clients_count\"] == 2\n\n\nclass TestHttpClientManagerAsyncClient:\n    \"\"\"Test asynchronous HTTP client management.\"\"\"\n\n    def test_get_async_client_creates_new_client(self):\n        \"\"\"Test that get_async_client creates a new client for new config.\"\"\"\n        _reset_singleton()\n        from nexent.utils.http_client_manager import http_client_manager\n\n        client = http_client_manager.get_async_client(\n            base_url=\"https://api.example.com\",\n            timeout=30.0,\n            verify_ssl=True\n        )\n\n        assert client is not None\n        assert http_client_manager.get_stats()[\"async_clients_count\"] == 1\n\n    def test_get_async_client_returns_cached_client(self):\n        \"\"\"Test that get_async_client returns the same client for same config.\"\"\"\n        _reset_singleton()\n        from nexent.utils.http_client_manager import http_client_manager\n\n        client1 = http_client_manager.get_async_client(\n            base_url=\"https://api.example.com\",\n            timeout=30.0,\n            verify_ssl=True\n        )\n        client2 = http_client_manager.get_async_client(\n            base_url=\"https://api.example.com\",\n            timeout=30.0,\n            verify_ssl=True\n        )\n\n        assert client1 is client2\n        # Only one client despite 2 calls\n        assert http_client_manager.get_stats()[\"async_clients_count\"] == 1\n\n\nclass TestHttpClientManagerContextManager:\n    \"\"\"Test context manager support (new feature).\"\"\"\n\n    def test_context_manager_enter_returns_self(self):\n        \"\"\"Test that __enter__ returns the manager instance.\"\"\"\n        _reset_singleton()\n        from nexent.utils.http_client_manager import http_client_manager\n\n        with http_client_manager as manager:\n            assert manager is http_client_manager\n\n    def test_context_manager_exits_cleans_up_clients(self):\n        \"\"\"Test that __exit__ properly closes all clients.\"\"\"\n        _reset_singleton()\n        from nexent.utils.http_client_manager import http_client_manager\n\n        # Create some clients\n        http_client_manager.get_sync_client(\n            base_url=\"https://api.example.com\",\n            timeout=30.0,\n            verify_ssl=True\n        )\n        http_client_manager.get_sync_client(\n            base_url=\"https://api2.example.com\",\n            timeout=60.0,\n            verify_ssl=False\n        )\n\n        # Verify clients were created\n        stats_before = http_client_manager.get_stats()\n        assert stats_before[\"sync_clients_count\"] == 2\n\n        # Exit context - clients should be closed\n        # The context manager's __exit__ calls shutdown()\n\n    def test_context_manager_with_exception_still_closes(self):\n        \"\"\"Test that context manager closes clients even when exception occurs.\"\"\"\n        _reset_singleton()\n        from nexent.utils.http_client_manager import http_client_manager\n\n        # Create a client before context\n        http_client_manager.get_sync_client(\n            base_url=\"https://api.example.com\",\n            timeout=30.0,\n            verify_ssl=True\n        )\n\n        # Simulate exception in context - manager should still shutdown\n        try:\n            with http_client_manager:\n                raise ValueError(\"Test exception\")\n        except ValueError:\n            pass\n\n        # After context exit, clients should be cleaned up\n        stats = http_client_manager.get_stats()\n        assert stats[\"sync_clients_count\"] == 0\n\n    def test_context_manager_multiple_clients_closed(self):\n        \"\"\"Test that all clients are closed when exiting context.\"\"\"\n        _reset_singleton()\n        from nexent.utils.http_client_manager import http_client_manager\n\n        with http_client_manager as manager:\n            client1 = manager.get_sync_client(\n                base_url=\"https://api1.example.com\",\n                timeout=30.0,\n                verify_ssl=True\n            )\n            client2 = manager.get_sync_client(\n                base_url=\"https://api2.example.com\",\n                timeout=30.0,\n                verify_ssl=True\n            )\n\n            # Both clients should be cached\n            stats = manager.get_stats()\n            assert stats[\"sync_clients_count\"] == 2\n\n        # After exiting context, all clients should be closed\n        stats = http_client_manager.get_stats()\n        assert stats[\"sync_clients_count\"] == 0\n\n\nclass TestHttpClientManagerShutdown:\n    \"\"\"Test shutdown functionality.\"\"\"\n\n    def test_shutdown_closes_all_sync_clients(self):\n        \"\"\"Test that shutdown() closes all sync clients.\"\"\"\n        _reset_singleton()\n        from nexent.utils.http_client_manager import http_client_manager\n\n        # Create clients\n        http_client_manager.get_sync_client(\n            base_url=\"https://api1.example.com\",\n            timeout=30.0,\n            verify_ssl=True\n        )\n        http_client_manager.get_sync_client(\n            base_url=\"https://api2.example.com\",\n            timeout=30.0,\n            verify_ssl=True\n        )\n\n        # Verify clients exist\n        stats_before = http_client_manager.get_stats()\n        assert stats_before[\"sync_clients_count\"] == 2\n\n        # Shutdown\n        http_client_manager.shutdown()\n\n        # Verify clients are closed\n        stats_after = http_client_manager.get_stats()\n        assert stats_after[\"sync_clients_count\"] == 0\n\n    def test_shutdown_clears_configs(self):\n        \"\"\"Test that shutdown() clears all configurations.\"\"\"\n        _reset_singleton()\n        from nexent.utils.http_client_manager import http_client_manager\n\n        http_client_manager.get_sync_client(\n            base_url=\"https://api.example.com\",\n            timeout=30.0,\n            verify_ssl=True\n        )\n\n        http_client_manager.shutdown()\n\n        assert http_client_manager.get_stats()[\"configs_count\"] == 0\n\n\nclass TestHttpClientManagerAsyncShutdown:\n    \"\"\"Test async shutdown functionality.\"\"\"\n\n    @pytest.mark.asyncio\n    async def test_shutdown_async_closes_all_clients(self):\n        \"\"\"Test that shutdown_async() closes both sync and async clients.\"\"\"\n        _reset_singleton()\n        from nexent.utils.http_client_manager import http_client_manager\n\n        # Create both sync and async clients\n        # Note: get_async_client() is synchronous, returns AsyncClient directly\n        http_client_manager.get_sync_client(\n            base_url=\"https://api.example.com\",\n            timeout=30.0,\n            verify_ssl=True\n        )\n        http_client_manager.get_async_client(\n            base_url=\"https://api.example.com\",\n            timeout=30.0,\n            verify_ssl=True\n        )\n\n        # Verify clients exist\n        stats_before = http_client_manager.get_stats()\n        assert stats_before[\"sync_clients_count\"] == 1\n        assert stats_before[\"async_clients_count\"] == 1\n\n        # Async shutdown\n        await http_client_manager.shutdown_async()\n\n        # Verify all clients are closed\n        stats_after = http_client_manager.get_stats()\n        assert stats_after[\"sync_clients_count\"] == 0\n        assert stats_after[\"async_clients_count\"] == 0\n\n\nclass TestHttpClientManagerCloseClient:\n    \"\"\"Test individual client close functionality.\"\"\"\n\n    def test_close_client_returns_true_when_found(self):\n        \"\"\"Test that close_client returns True when client exists.\"\"\"\n        _reset_singleton()\n        from nexent.utils.http_client_manager import http_client_manager\n\n        http_client_manager.get_sync_client(\n            base_url=\"https://api.example.com\",\n            timeout=30.0,\n            verify_ssl=True\n        )\n\n        result = http_client_manager.close_client(\n            base_url=\"https://api.example.com\",\n            timeout=30.0,\n            verify_ssl=True\n        )\n\n        assert result is True\n\n    def test_close_client_returns_false_when_not_found(self):\n        \"\"\"Test that close_client returns False when client doesn't exist.\"\"\"\n        _reset_singleton()\n        from nexent.utils.http_client_manager import http_client_manager\n\n        result = http_client_manager.close_client(\n            base_url=\"https://nonexistent.example.com\",\n            timeout=30.0,\n            verify_ssl=True\n        )\n\n        assert result is False\n\n    def test_close_client_removes_client_from_registry(self):\n        \"\"\"Test that close_client removes the client from registry.\"\"\"\n        _reset_singleton()\n        from nexent.utils.http_client_manager import http_client_manager\n\n        http_client_manager.get_sync_client(\n            base_url=\"https://api.example.com\",\n            timeout=30.0,\n            verify_ssl=True\n        )\n\n        http_client_manager.close_client(\n            base_url=\"https://api.example.com\",\n            timeout=30.0,\n            verify_ssl=True\n        )\n\n        assert http_client_manager.get_stats()[\"sync_clients_count\"] == 0\n\n    @pytest.mark.asyncio\n    async def test_close_async_client(self):\n        \"\"\"Test async client close functionality.\"\"\"\n        _reset_singleton()\n        from nexent.utils.http_client_manager import http_client_manager\n\n        # get_async_client() is synchronous, returns AsyncClient directly\n        http_client_manager.get_async_client(\n            base_url=\"https://api.example.com\",\n            timeout=30.0,\n            verify_ssl=True\n        )\n\n        result = await http_client_manager.close_async_client(\n            base_url=\"https://api.example.com\",\n            timeout=30.0,\n            verify_ssl=True\n        )\n\n        assert result is True\n\n\nclass TestHttpClientManagerGetStats:\n    \"\"\"Test statistics retrieval functionality.\"\"\"\n\n    def test_get_stats_returns_correct_counts(self):\n        \"\"\"Test that get_stats returns correct client counts.\"\"\"\n        _reset_singleton()\n        from nexent.utils.http_client_manager import http_client_manager\n\n        http_client_manager.get_sync_client(\n            base_url=\"https://api1.example.com\",\n            timeout=30.0,\n            verify_ssl=True\n        )\n        http_client_manager.get_sync_client(\n            base_url=\"https://api2.example.com\",\n            timeout=30.0,\n            verify_ssl=True\n        )\n\n        stats = http_client_manager.get_stats()\n\n        assert stats[\"sync_clients_count\"] == 2\n        assert stats[\"async_clients_count\"] == 0\n        assert stats[\"configs_count\"] == 2\n\n    def test_get_stats_includes_client_details(self):\n        \"\"\"Test that get_stats includes detailed client information.\"\"\"\n        _reset_singleton()\n        from nexent.utils.http_client_manager import http_client_manager\n\n        http_client_manager.get_sync_client(\n            base_url=\"https://api.example.com\",\n            timeout=45.0,\n            verify_ssl=False\n        )\n\n        stats = http_client_manager.get_stats()\n\n        assert len(stats[\"clients\"]) == 1\n        client_info = stats[\"clients\"][0]\n        assert client_info[\"base_url\"] == \"https://api.example.com\"\n        assert client_info[\"timeout\"] == 45.0\n        assert client_info[\"verify_ssl\"] is False\n        assert client_info[\"is_async\"] is False\n\n\nclass TestHttpClientManagerGetConfig:\n    \"\"\"Test configuration retrieval functionality.\"\"\"\n\n    def test_get_client_config_returns_config(self):\n        \"\"\"Test that get_client_config returns the correct configuration.\"\"\"\n        _reset_singleton()\n        from nexent.utils.http_client_manager import http_client_manager\n\n        http_client_manager.get_sync_client(\n            base_url=\"https://api.example.com\",\n            timeout=60.0,\n            verify_ssl=True\n        )\n\n        config = http_client_manager.get_client_config(\n            base_url=\"https://api.example.com\",\n            timeout=60.0,\n            verify_ssl=True\n        )\n\n        assert config is not None\n        assert config.base_url == \"https://api.example.com\"\n        assert config.timeout == 60.0\n        assert config.verify_ssl is True\n\n    def test_get_client_config_returns_none_for_nonexistent(self):\n        \"\"\"Test that get_client_config returns None for non-existent client.\"\"\"\n        _reset_singleton()\n        from nexent.utils.http_client_manager import http_client_manager\n\n        config = http_client_manager.get_client_config(\n            base_url=\"https://nonexistent.example.com\",\n            timeout=30.0,\n            verify_ssl=True\n        )\n\n        assert config is None\n\n\nclass TestHttpClientManagerClientKey:\n    \"\"\"Test client key generation functionality.\"\"\"\n\n    def test_get_client_key_format(self):\n        \"\"\"Test that _get_client_key generates correct format.\"\"\"\n        _reset_singleton()\n        from nexent.utils.http_client_manager import http_client_manager\n\n        key = http_client_manager._get_client_key(\n            base_url=\"https://api.example.com\",\n            timeout=30.0,\n            verify_ssl=True\n        )\n\n        assert key == \"https://api.example.com|30.0|True\"\n\n    def test_get_client_key_different_params_different_keys(self):\n        \"\"\"Test that different parameters generate different keys.\"\"\"\n        _reset_singleton()\n        from nexent.utils.http_client_manager import http_client_manager\n\n        key1 = http_client_manager._get_client_key(\n            base_url=\"https://api.example.com\",\n            timeout=30.0,\n            verify_ssl=True\n        )\n        key2 = http_client_manager._get_client_key(\n            base_url=\"https://api.example.com\",\n            timeout=60.0,\n            verify_ssl=True\n        )\n        key3 = http_client_manager._get_client_key(\n            base_url=\"https://api.example.com\",\n            timeout=30.0,\n            verify_ssl=False\n        )\n\n        assert key1 != key2\n        assert key1 != key3\n        assert key2 != key3\n"
  },
  {
    "path": "test/sdk/vector_database/__init__.py",
    "content": ""
  },
  {
    "path": "test/sdk/vector_database/test_datamate_core.py",
    "content": "import pytest\nfrom unittest.mock import MagicMock, patch\nfrom datetime import datetime\n\nfrom sdk.nexent.vector_database import datamate_core\n\n\ndef test_parse_timestamp_variants():\n    # None -> default\n    assert datamate_core._parse_timestamp(None, default=7) == 7\n\n    # Integer already in milliseconds\n    ms = 1600000000000\n    assert datamate_core._parse_timestamp(ms) == ms\n\n    # Integer in seconds (less than 1e10) should be converted to ms\n    seconds = 1600000000\n    assert datamate_core._parse_timestamp(seconds) == seconds * 1000\n\n    # ISO8601 string with Z\n    iso = \"2020-09-13T12:00:00Z\"\n    expected = int(datetime.fromisoformat(\n        iso.replace(\"Z\", \"+00:00\")).timestamp() * 1000)\n    assert datamate_core._parse_timestamp(iso) == expected\n\n    # Numeric string representing seconds\n    assert datamate_core._parse_timestamp(\"123456\") == 123456 * 1000\n\n    # Invalid string -> default\n    assert datamate_core._parse_timestamp(\"not-a-ts\", default=11) == 11\n\n\n@patch(\"sdk.nexent.vector_database.datamate_core.DataMateClient\")\ndef test_user_indices_and_count(mock_client_cls):\n    mock_client = MagicMock()\n    mock_client.list_knowledge_bases.return_value = [\n        {\"id\": 1, \"type\": \"DOCUMENT\"}, {\"no_id\": True}, {\"id\": \"2\", \"type\": \"DOCUMENT\"}]\n    mock_client.get_knowledge_base_files.return_value = [\n        {\"fileName\": \"a\"}, {\"fileName\": \"b\"}]\n    mock_client_cls.return_value = mock_client\n\n    core = datamate_core.DataMateCore(base_url=\"http://example\")\n\n    # get_user_indices filters out entries without id and returns string ids\n    assert core.get_user_indices() == [\"1\", \"2\"]\n\n    # check_index_exists uses get_user_indices\n    assert core.check_index_exists(\"1\") is True\n    assert core.check_index_exists(\"missing\") is False\n\n    # get_index_chunks and count_documents rely on get_knowledge_base_files\n    chunks = core.get_index_chunks(\"1\")\n    assert isinstance(chunks, dict)\n    assert chunks[\"total\"] == 2\n    assert core.count_documents(\"1\") == 2\n\n\n@patch(\"sdk.nexent.vector_database.datamate_core.DataMateClient\")\ndef test_hybrid_search_and_retrieve(mock_client_cls):\n    mock_client = MagicMock()\n    mock_client.retrieve_knowledge_base.return_value = [{\"id\": \"res1\"}]\n    mock_client_cls.return_value = mock_client\n\n    core = datamate_core.DataMateCore(base_url=\"http://example\")\n    res = core.hybrid_search(\n        [\"kb1\"], \"query\", embedding_model=None, top_k=2, weight_accurate=0.1)\n    assert res == [{\"id\": \"res1\"}]\n    mock_client.retrieve_knowledge_base.assert_called_once_with(\"query\", [\n                                                                \"kb1\"], 2, 0.1)\n\n\n@patch(\"sdk.nexent.vector_database.datamate_core.DataMateClient\")\ndef test_get_documents_detail_parsing(mock_client_cls):\n    mock_client = MagicMock()\n    mock_client.get_knowledge_base_files.return_value = [\n        {\n            \"path_or_url\": \"s3://bucket/file.txt\",\n            \"fileName\": \"file.txt\",\n            \"fileSize\": 12345,\n            \"createdAt\": \"2021-01-01T00:00:00Z\",\n            \"chunkCount\": 3,\n            \"errMsg\": \"no error\",\n        }\n    ]\n    mock_client_cls.return_value = mock_client\n\n    core = datamate_core.DataMateCore(base_url=\"http://example\")\n    details = core.get_documents_detail(\"kb1\")\n    assert isinstance(details, list) and len(details) == 1\n    d = details[0]\n    assert d[\"file\"] == \"file.txt\"\n    assert d[\"file_size\"] == 12345\n    assert d[\"chunk_count\"] == 3\n    assert isinstance(d[\"create_time\"], int) and d[\"create_time\"] > 0\n    assert d[\"error_reason\"] == \"no error\"\n\n\n@patch(\"sdk.nexent.vector_database.datamate_core.DataMateClient\")\ndef test_get_indices_detail_success_and_error(mock_client_cls):\n    mock_client = MagicMock()\n\n    def side_effect_get_info(kb_id):\n        if kb_id == \"bad\":\n            raise RuntimeError(\"boom\")\n        return {\n            \"fileCount\": 10,\n            \"name\": \"KnowledgeBaseName\",\n            \"chunkCount\": 20,\n            \"storeSize\": 999,\n            \"processSource\": \"Unstructured\",\n            \"embedding\": {\"modelName\": \"embed-v1\"},\n            \"createdAt\": \"2022-01-01T00:00:00Z\",\n            \"updatedAt\": \"2022-02-01T00:00:00Z\",\n        }\n\n    mock_client.get_knowledge_base_info.side_effect = side_effect_get_info\n    mock_client_cls.return_value = mock_client\n\n    core = datamate_core.DataMateCore(base_url=\"http://example\")\n    details, names = core.get_indices_detail(\n        [\"good\", \"bad\"], embedding_dim=512)\n\n    # success case\n    assert \"good\" in details\n    assert details[\"good\"][\"base_info\"][\"embedding_model\"] == \"embed-v1\"\n    assert details[\"good\"][\"base_info\"][\"embedding_dim\"] == 512\n    assert \"KnowledgeBaseName\" in names\n\n    # error case\n    assert \"bad\" in details\n    assert \"error\" in details[\"bad\"]\n\n\n@patch(\"sdk.nexent.vector_database.datamate_core.DataMateClient\")\ndef test_not_implemented_methods_raise(mock_client_cls):\n    mock_client_cls.return_value = MagicMock()\n    core = datamate_core.DataMateCore(base_url=\"http://example\")\n\n    # Methods that are intentionally not implemented should raise NotImplementedError\n    with pytest.raises(NotImplementedError):\n        core.create_index(\"i\")\n    with pytest.raises(NotImplementedError):\n        core.delete_index(\"i\")\n    with pytest.raises(NotImplementedError):\n        core.vectorize_documents(\"i\", None, [])\n    with pytest.raises(NotImplementedError):\n        core.delete_documents(\"i\", \"path\")\n    with pytest.raises(NotImplementedError):\n        core.create_chunk(\"i\", {})\n    with pytest.raises(NotImplementedError):\n        core.update_chunk(\"i\", \"cid\", {})\n    with pytest.raises(NotImplementedError):\n        core.delete_chunk(\"i\", \"cid\")\n    with pytest.raises(NotImplementedError):\n        core.search(\"i\", {})\n    with pytest.raises(NotImplementedError):\n        core.multi_search([], \"i\")\n    with pytest.raises(NotImplementedError):\n        core.accurate_search([\"i\"], \"q\")\n    with pytest.raises(NotImplementedError):\n        core.semantic_search([\"i\"], \"q\", None)\n\n\n@patch(\"sdk.nexent.vector_database.datamate_core.DataMateClient\")\ndef test_ssl_verification_parameter(mock_client_cls):\n    \"\"\"Test that DataMateCore passes SSL verification parameter to DataMateClient.\"\"\"\n    mock_client = MagicMock()\n    mock_client_cls.return_value = mock_client\n\n    # Test default SSL verification (should be True)\n    core_default = datamate_core.DataMateCore(base_url=\"http://example\")\n    mock_client_cls.assert_called_with(\n        base_url=\"http://example\", timeout=5.0, verify_ssl=True\n    )\n\n    # Reset mock\n    mock_client_cls.reset_mock()\n\n    # Test explicit SSL verification enabled\n    core_ssl_enabled = datamate_core.DataMateCore(\n        base_url=\"http://example\", verify_ssl=True\n    )\n    mock_client_cls.assert_called_with(\n        base_url=\"http://example\", timeout=5.0, verify_ssl=True\n    )\n\n    # Reset mock\n    mock_client_cls.reset_mock()\n\n    # Test SSL verification disabled\n    core_ssl_disabled = datamate_core.DataMateCore(\n        base_url=\"http://example\", verify_ssl=False\n    )\n    mock_client_cls.assert_called_with(\n        base_url=\"http://example\", timeout=5.0, verify_ssl=False\n    )\n\n    # Reset mock\n    mock_client_cls.reset_mock()\n\n    # Test with custom timeout\n    core_custom_timeout = datamate_core.DataMateCore(\n        base_url=\"http://example\", timeout=15.0, verify_ssl=False\n    )\n    mock_client_cls.assert_called_with(\n        base_url=\"http://example\", timeout=15.0, verify_ssl=False\n    )\n"
  },
  {
    "path": "test/sdk/vector_database/test_elasticsearch_core.py",
    "content": "import pytest\nfrom unittest.mock import MagicMock, patch\nimport time\nfrom typing import List, Dict, Any\nfrom elasticsearch import exceptions\n\n# Import the class under test\nfrom sdk.nexent.vector_database.elasticsearch_core import ElasticSearchCore\n\n# ----------------------------------------------------------------------------\n# Fixtures\n# ----------------------------------------------------------------------------\n\n@pytest.fixture\ndef elasticsearch_core_instance():\n    \"\"\"Create an ElasticSearchCore instance for testing.\"\"\"\n    return ElasticSearchCore(\n        host=\"http://localhost:9200\",\n        api_key=\"test_api_key\",\n        verify_certs=False,\n        ssl_show_warn=False\n    )\n\n\n@pytest.fixture\ndef sample_documents():\n    \"\"\"Sample documents for testing.\"\"\"\n    return [\n        {\n            \"content\": \"This is test content 1\",\n            \"title\": \"Test Document 1\",\n            \"filename\": \"test1.pdf\",\n            \"path_or_url\": \"/path/to/test1.pdf\"\n        },\n        {\n            \"content\": \"This is test content 2\",\n            \"title\": \"Test Document 2\",\n            \"filename\": \"test2.pdf\",\n            \"path_or_url\": \"/path/to/test2.pdf\",\n            \"file_size\": 1024,\n            \"create_time\": \"2025-01-15T10:30:00\",\n            \"date\": \"2025-01-15\",\n            \"process_source\": \"CustomProcessor\",\n            \"id\": \"existing_id_123\"\n        }\n    ]\n\n\n# ----------------------------------------------------------------------------\n# Tests for _preprocess_documents method\n# ----------------------------------------------------------------------------\n\ndef test_preprocess_documents_with_complete_document(elasticsearch_core_instance, sample_documents):\n    \"\"\"Test preprocessing a document that already has all required fields.\"\"\"\n    # Use the second document which has all fields\n    complete_doc = [sample_documents[1]]\n    content_field = \"content\"\n\n    result = elasticsearch_core_instance._preprocess_documents(complete_doc, content_field)\n\n    assert len(result) == 1\n    doc = result[0]\n\n    # Should preserve existing values\n    assert doc[\"content\"] == \"This is test content 2\"\n    assert doc[\"title\"] == \"Test Document 2\"\n    assert doc[\"filename\"] == \"test2.pdf\"\n    assert doc[\"path_or_url\"] == \"/path/to/test2.pdf\"\n    assert doc[\"file_size\"] == 1024\n    assert doc[\"create_time\"] == \"2025-01-15T10:30:00\"\n    assert doc[\"date\"] == \"2025-01-15\"\n    assert doc[\"process_source\"] == \"CustomProcessor\"\n    assert doc[\"id\"] == \"existing_id_123\"\n\n\ndef test_preprocess_documents_with_incomplete_document(elasticsearch_core_instance, sample_documents):\n    \"\"\"Test preprocessing a document missing required fields.\"\"\"\n    # Use the first document which is missing several fields\n    incomplete_doc = [sample_documents[0]]\n    content_field = \"content\"\n\n    with patch('time.strftime') as mock_strftime, \\\n         patch('time.time') as mock_time, \\\n         patch('time.gmtime') as mock_gmtime:\n\n        # Mock time functions\n        mock_strftime.side_effect = lambda fmt, t: \"2025-01-15T10:30:00\" if \"T\" in fmt else \"2025-01-15\"\n        mock_time.return_value = 1642234567\n        mock_gmtime.return_value = None\n\n        result = elasticsearch_core_instance._preprocess_documents(incomplete_doc, content_field)\n\n    assert len(result) == 1\n    doc = result[0]\n\n    # Should preserve existing values\n    assert doc[\"content\"] == \"This is test content 1\"\n    assert doc[\"title\"] == \"Test Document 1\"\n    assert doc[\"filename\"] == \"test1.pdf\"\n    assert doc[\"path_or_url\"] == \"/path/to/test1.pdf\"\n\n    # Should add missing fields with default values\n    assert doc[\"create_time\"] == \"2025-01-15T10:30:00\"\n    assert doc[\"date\"] == \"2025-01-15\"\n    assert doc[\"file_size\"] == 0\n    assert doc[\"process_source\"] == \"Unstructured\"\n\n    # Should generate an ID\n    assert \"id\" in doc\n    assert doc[\"id\"].startswith(\"1642234567_\")\n    assert len(doc[\"id\"]) <= 20\n\n\ndef test_preprocess_documents_with_multiple_documents(elasticsearch_core_instance, sample_documents):\n    \"\"\"Test preprocessing multiple documents.\"\"\"\n    content_field = \"content\"\n\n    with patch('time.strftime') as mock_strftime, \\\n         patch('time.time') as mock_time, \\\n         patch('time.gmtime') as mock_gmtime:\n\n        # Mock time functions\n        mock_strftime.side_effect = lambda fmt, t: \"2025-01-15T10:30:00\" if \"T\" in fmt else \"2025-01-15\"\n        mock_time.return_value = 1642234567\n        mock_gmtime.return_value = None\n\n        result = elasticsearch_core_instance._preprocess_documents(sample_documents, content_field)\n\n    assert len(result) == 2\n\n    # First document should have defaults added\n    doc1 = result[0]\n    assert doc1[\"create_time\"] == \"2025-01-15T10:30:00\"\n    assert doc1[\"date\"] == \"2025-01-15\"\n    assert doc1[\"file_size\"] == 0\n    assert doc1[\"process_source\"] == \"Unstructured\"\n    assert \"id\" in doc1\n\n    # Second document should preserve existing values\n    doc2 = result[1]\n    assert doc2[\"create_time\"] == \"2025-01-15T10:30:00\"\n    assert doc2[\"date\"] == \"2025-01-15\"\n    assert doc2[\"file_size\"] == 1024\n    assert doc2[\"process_source\"] == \"CustomProcessor\"\n    assert doc2[\"id\"] == \"existing_id_123\"\n\n\ndef test_preprocess_documents_preserves_original_data(elasticsearch_core_instance):\n    \"\"\"Test that original documents are not modified.\"\"\"\n    original_docs = [\n        {\n            \"content\": \"Original content\",\n            \"title\": \"Original title\"\n        }\n    ]\n    content_field = \"content\"\n\n    with patch('time.strftime') as mock_strftime, \\\n         patch('time.time') as mock_time, \\\n         patch('time.gmtime') as mock_gmtime:\n\n        mock_strftime.side_effect = lambda fmt, t: \"2025-01-15T10:30:00\" if \"T\" in fmt else \"2025-01-15\"\n        mock_time.return_value = 1642234567\n        mock_gmtime.return_value = None\n\n        result = elasticsearch_core_instance._preprocess_documents(original_docs, content_field)\n\n    # Original document should remain unchanged\n    assert original_docs[0] == {\"content\": \"Original content\", \"title\": \"Original title\"}\n\n    # Result should be a new document with added fields\n    assert result[0][\"content\"] == \"Original content\"\n    assert result[0][\"title\"] == \"Original title\"\n    assert \"create_time\" in result[0]\n    assert \"date\" in result[0]\n    assert \"file_size\" in result[0]\n    assert \"process_source\" in result[0]\n    assert \"id\" in result[0]\n\n\ndef test_preprocess_documents_with_empty_list(elasticsearch_core_instance):\n    \"\"\"Test preprocessing an empty list of documents.\"\"\"\n    content_field = \"content\"\n\n    result = elasticsearch_core_instance._preprocess_documents([], content_field)\n\n    assert result == []\n\n\ndef test_preprocess_documents_id_generation(elasticsearch_core_instance):\n    \"\"\"Test that ID generation works correctly with different content.\"\"\"\n    docs = [\n        {\"content\": \"Content 1\"},\n        {\"content\": \"Content 2\"},\n        {\"content\": \"Content 1\"}  # Same content as first\n    ]\n    content_field = \"content\"\n\n    with patch('time.strftime') as mock_strftime, \\\n         patch('time.time') as mock_time, \\\n         patch('time.gmtime') as mock_gmtime:\n\n        mock_strftime.side_effect = lambda fmt, t: \"2025-01-15T10:30:00\" if \"T\" in fmt else \"2025-01-15\"\n        mock_time.return_value = 1642234567\n        mock_gmtime.return_value = None\n\n        result = elasticsearch_core_instance._preprocess_documents(docs, content_field)\n\n    assert len(result) == 3\n\n    # All documents should have IDs\n    assert \"id\" in result[0]\n    assert \"id\" in result[1]\n    assert \"id\" in result[2]\n\n    # IDs should be different for different content\n    assert result[0][\"id\"] != result[1][\"id\"]\n\n    # Same content should generate same hash part (but might be different due to time)\n    id1_parts = result[0][\"id\"].split(\"_\")\n    id3_parts = result[2][\"id\"].split(\"_\")\n    assert len(id1_parts) == 2\n    assert len(id3_parts) == 2\n    assert id1_parts[1] == id3_parts[1]  # Hash part should be same\n\n\ndef test_preprocess_documents_with_none_values(elasticsearch_core_instance):\n    \"\"\"Test preprocessing documents with None values.\"\"\"\n    docs = [\n        {\n            \"content\": \"Test content\",\n            \"file_size\": None,\n            \"create_time\": None,\n            \"date\": None,\n            \"process_source\": None\n        }\n    ]\n    content_field = \"content\"\n\n    with patch('time.strftime') as mock_strftime, \\\n         patch('time.time') as mock_time, \\\n         patch('time.gmtime') as mock_gmtime:\n\n        mock_strftime.side_effect = lambda fmt, t: \"2025-01-15T10:30:00\" if \"T\" in fmt else \"2025-01-15\"\n        mock_time.return_value = 1642234567\n        mock_gmtime.return_value = None\n\n        result = elasticsearch_core_instance._preprocess_documents(docs, content_field)\n\n    doc = result[0]\n\n    # None values should be replaced with defaults\n    assert doc[\"file_size\"] == 0\n    assert doc[\"create_time\"] == \"2025-01-15T10:30:00\"\n    assert doc[\"date\"] == \"2025-01-15\"\n    assert doc[\"process_source\"] == \"Unstructured\"\n    assert \"id\" in doc\n\n\ndef test_preprocess_documents_with_zero_values(elasticsearch_core_instance):\n    \"\"\"Test that zero values are preserved and not replaced.\"\"\"\n    docs = [\n        {\n            \"content\": \"Test content\",\n            \"file_size\": 0,\n            \"create_time\": \"2025-01-15T10:30:00\",\n            \"date\": \"2025-01-15\",\n            \"process_source\": \"CustomProcessor\"\n        }\n    ]\n    content_field = \"content\"\n\n    with patch('time.strftime') as mock_strftime, \\\n         patch('time.time') as mock_time, \\\n         patch('time.gmtime') as mock_gmtime:\n\n        mock_strftime.side_effect = lambda fmt, t: \"2025-01-15T10:30:00\" if \"T\" in fmt else \"2025-01-15\"\n        mock_time.return_value = 1642234567\n        mock_gmtime.return_value = None\n\n        result = elasticsearch_core_instance._preprocess_documents(docs, content_field)\n\n    doc = result[0]\n\n    # Zero values should be preserved\n    assert doc[\"file_size\"] == 0\n    assert doc[\"create_time\"] == \"2025-01-15T10:30:00\"\n    assert doc[\"date\"] == \"2025-01-15\"\n    assert doc[\"process_source\"] == \"CustomProcessor\"\n\n\ndef test_preprocess_large_batch_of_documents(elasticsearch_core_instance):\n    \"\"\"Test preprocessing a large batch of documents (100+ chunks scenario).\"\"\"\n    # Simulate processing a large file that generates 150 chunks\n    large_docs = [\n        {\n            \"content\": f\"Chunk content number {i}\",\n            \"title\": f\"Document chunk {i}\",\n            \"filename\": \"large_document.pdf\",\n            \"path_or_url\": \"/path/to/large_document.pdf\"\n        }\n        for i in range(150)\n    ]\n    content_field = \"content\"\n\n    with patch('time.strftime') as mock_strftime, \\\n            patch('time.time') as mock_time, \\\n            patch('time.gmtime') as mock_gmtime:\n\n        mock_strftime.side_effect = lambda fmt, t: \"2025-01-15T10:30:00\" if \"T\" in fmt else \"2025-01-15\"\n        mock_time.return_value = 1642234567\n        mock_gmtime.return_value = None\n\n        result = elasticsearch_core_instance._preprocess_documents(\n            large_docs, content_field)\n\n    # Should process all 150 documents\n    assert len(result) == 150\n\n    # Verify each document has required fields\n    for i, doc in enumerate(result):\n        assert doc[\"content\"] == f\"Chunk content number {i}\"\n        assert doc[\"title\"] == f\"Document chunk {i}\"\n        assert doc[\"filename\"] == \"large_document.pdf\"\n        assert doc[\"path_or_url\"] == \"/path/to/large_document.pdf\"\n        assert \"create_time\" in doc\n        assert \"date\" in doc\n        assert \"file_size\" in doc\n        assert \"process_source\" in doc\n        assert \"id\" in doc\n\n\ndef test_preprocess_documents_performance_with_large_batch(elasticsearch_core_instance):\n    \"\"\"Test that preprocessing performance is acceptable for large batches.\"\"\"\n    import time as time_module\n\n    # Create 200 documents to test performance\n    large_docs = [\n        {\n            \"content\": f\"Content {i}\" * 100,  # Longer content\n            \"title\": f\"Title {i}\",\n            \"filename\": f\"file_{i}.txt\"\n        }\n        for i in range(200)\n    ]\n    content_field = \"content\"\n\n    with patch('time.strftime') as mock_strftime, \\\n            patch('time.time') as mock_time, \\\n            patch('time.gmtime') as mock_gmtime:\n\n        mock_strftime.side_effect = lambda fmt, t: \"2025-01-15T10:30:00\" if \"T\" in fmt else \"2025-01-15\"\n        mock_time.return_value = 1642234567\n        mock_gmtime.return_value = None\n\n        start = time_module.time()\n        result = elasticsearch_core_instance._preprocess_documents(\n            large_docs, content_field)\n        elapsed = time_module.time() - start\n\n    # Should complete in reasonable time (< 5 seconds for 200 docs)\n    assert elapsed < 5.0\n\n    # All documents should be processed\n    assert len(result) == 200\n\n\ndef test_preprocess_documents_maintains_order(elasticsearch_core_instance):\n    \"\"\"Test that document order is preserved during preprocessing.\"\"\"\n    docs = [\n        {\"content\": f\"Content {i}\", \"sequence\": i}\n        for i in range(50)\n    ]\n    content_field = \"content\"\n\n    with patch('time.strftime') as mock_strftime, \\\n            patch('time.time') as mock_time, \\\n            patch('time.gmtime') as mock_gmtime:\n\n        mock_strftime.side_effect = lambda fmt, t: \"2025-01-15T10:30:00\" if \"T\" in fmt else \"2025-01-15\"\n        mock_time.return_value = 1642234567\n        mock_gmtime.return_value = None\n\n        result = elasticsearch_core_instance._preprocess_documents(\n            docs, content_field)\n\n    # Verify order is maintained\n    for i, doc in enumerate(result):\n        assert doc[\"sequence\"] == i\n        assert doc[\"content\"] == f\"Content {i}\"\n\n\n# ----------------------------------------------------------------------------\n# Tests for index management methods\n# ----------------------------------------------------------------------------\n\ndef test_create_index_success(elasticsearch_core_instance):\n    \"\"\"Test creating a new vector index successfully.\"\"\"\n    with patch.object(elasticsearch_core_instance.client.indices, 'exists') as mock_exists, \\\n            patch.object(elasticsearch_core_instance.client.indices, 'create') as mock_create, \\\n            patch.object(elasticsearch_core_instance, '_force_refresh_with_retry') as mock_refresh, \\\n            patch.object(elasticsearch_core_instance, '_ensure_index_ready') as mock_ready:\n\n        mock_exists.return_value = False\n        mock_create.return_value = {\"acknowledged\": True}\n        mock_refresh.return_value = True\n        mock_ready.return_value = True\n\n        result = elasticsearch_core_instance.create_index(\n            \"test_index\", embedding_dim=1024)\n\n        assert result is True\n        mock_exists.assert_called_once_with(index=\"test_index\")\n        mock_create.assert_called_once()\n        mock_refresh.assert_called_once_with(\"test_index\")\n        mock_ready.assert_called_once_with(\"test_index\")\n\n\ndef test_create_index_already_exists(elasticsearch_core_instance):\n    \"\"\"Test creating an index that already exists.\"\"\"\n    with patch.object(elasticsearch_core_instance.client.indices, 'exists') as mock_exists, \\\n            patch.object(elasticsearch_core_instance, '_ensure_index_ready') as mock_ready:\n\n        mock_exists.return_value = True\n        mock_ready.return_value = True\n\n        result = elasticsearch_core_instance.create_index(\n            \"existing_index\")\n\n        assert result is True\n        mock_exists.assert_called_once_with(index=\"existing_index\")\n        mock_ready.assert_called_once_with(\"existing_index\")\n\n\ndef test_delete_index_success(elasticsearch_core_instance):\n    \"\"\"Test deleting an index successfully.\"\"\"\n    with patch.object(elasticsearch_core_instance.client.indices, 'delete') as mock_delete:\n        mock_delete.return_value = {\"acknowledged\": True}\n\n        result = elasticsearch_core_instance.delete_index(\"test_index\")\n\n        assert result is True\n        mock_delete.assert_called_once_with(index=\"test_index\")\n\n\ndef test_delete_index_not_found(elasticsearch_core_instance):\n    \"\"\"Test deleting an index that doesn't exist.\"\"\"\n    with patch.object(elasticsearch_core_instance.client.indices, 'delete') as mock_delete:\n        mock_delete.side_effect = exceptions.NotFoundError(\n            \"Index not found\", {}, {})\n\n        result = elasticsearch_core_instance.delete_index(\"nonexistent_index\")\n\n        assert result is False\n        mock_delete.assert_called_once_with(index=\"nonexistent_index\")\n\n\ndef test_get_user_indices_success(elasticsearch_core_instance):\n    \"\"\"Test getting user indices successfully.\"\"\"\n    with patch.object(elasticsearch_core_instance.client.indices, 'get_alias') as mock_get_alias:\n        mock_get_alias.return_value = {\n            \"user_index_1\": {},\n            \"user_index_2\": {},\n            \".system_index\": {}\n        }\n\n        result = elasticsearch_core_instance.get_user_indices()\n\n        assert len(result) == 2\n        assert \"user_index_1\" in result\n        assert \"user_index_2\" in result\n        assert \".system_index\" not in result\n\n\n# ----------------------------------------------------------------------------\n# Tests for _force_refresh_with_retry method\n# ----------------------------------------------------------------------------\n\ndef test_force_refresh_with_retry_success_first_attempt(elasticsearch_core_instance):\n    \"\"\"Test _force_refresh_with_retry succeeds on first attempt.\"\"\"\n    with patch.object(elasticsearch_core_instance.client.indices, 'refresh') as mock_refresh:\n        mock_refresh.return_value = {\"_shards\": {\"successful\": 1}}\n\n        result = elasticsearch_core_instance._force_refresh_with_retry(\"test_index\")\n\n        assert result is True\n        mock_refresh.assert_called_once_with(index=\"test_index\")\n\n\ndef test_force_refresh_with_retry_success_after_one_failure(elasticsearch_core_instance):\n    \"\"\"Test _force_refresh_with_retry succeeds on second attempt after first failure.\"\"\"\n    with patch.object(elasticsearch_core_instance.client.indices, 'refresh') as mock_refresh, \\\n            patch('time.sleep') as mock_sleep:\n        # First call fails, second call succeeds\n        mock_refresh.side_effect = [\n            Exception(\"Connection refused\"),\n            {\"_shards\": {\"successful\": 1}}\n        ]\n\n        result = elasticsearch_core_instance._force_refresh_with_retry(\"test_index\", max_retries=3)\n\n        assert result is True\n        assert mock_refresh.call_count == 2\n        mock_sleep.assert_called_once_with(0.5)  # First retry delay is 0.5 * (0 + 1)\n\n\ndef test_force_refresh_with_retry_all_attempts_fail(elasticsearch_core_instance, caplog):\n    \"\"\"Test _force_refresh_with_retry returns False when all retries fail.\"\"\"\n    with patch.object(elasticsearch_core_instance.client.indices, 'refresh') as mock_refresh, \\\n            patch('time.sleep') as mock_sleep:\n        # All attempts fail\n        mock_refresh.side_effect = Exception(\"Connection refused\")\n\n        result = elasticsearch_core_instance._force_refresh_with_retry(\"test_index\", max_retries=3)\n\n        assert result is False\n        assert mock_refresh.call_count == 3\n        # Should sleep twice (between 3 attempts)\n        assert mock_sleep.call_count == 2\n        assert any(\"Failed to refresh index test_index\" in m for m in caplog.messages)\n\n\ndef test_force_refresh_with_retry_success_after_two_failures(elasticsearch_core_instance):\n    \"\"\"Test _force_refresh_with_retry succeeds on third attempt after two failures.\"\"\"\n    with patch.object(elasticsearch_core_instance.client.indices, 'refresh') as mock_refresh, \\\n            patch('time.sleep') as mock_sleep:\n        # First two fail, third succeeds\n        mock_refresh.side_effect = [\n            Exception(\"Fail 1\"),\n            Exception(\"Fail 2\"),\n            {\"_shards\": {\"successful\": 1}}\n        ]\n\n        result = elasticsearch_core_instance._force_refresh_with_retry(\"test_index\", max_retries=3)\n\n        assert result is True\n        assert mock_refresh.call_count == 3\n        assert mock_sleep.call_count == 2\n        # Verify sleep delays: 0.5, 1.0\n        mock_sleep.assert_any_call(0.5)\n        mock_sleep.assert_any_call(1.0)\n\n\n# ----------------------------------------------------------------------------\n# Tests for _ensure_index_ready method\n# ----------------------------------------------------------------------------\n\ndef test_ensure_index_ready_success_green_status(elasticsearch_core_instance):\n    \"\"\"Test _ensure_index_ready succeeds when cluster health is green.\"\"\"\n    with patch.object(elasticsearch_core_instance.client.cluster, 'health') as mock_health, \\\n            patch.object(elasticsearch_core_instance.client, 'search') as mock_search:\n        mock_health.return_value = {\"status\": \"green\"}\n        mock_search.return_value = {\"hits\": {\"total\": {\"value\": 0}}}\n\n        result = elasticsearch_core_instance._ensure_index_ready(\"test_index\", timeout=10)\n\n        assert result is True\n        mock_health.assert_called_once()\n        mock_search.assert_called_once()\n\n\ndef test_ensure_index_ready_success_yellow_status(elasticsearch_core_instance):\n    \"\"\"Test _ensure_index_ready succeeds when cluster health is yellow.\"\"\"\n    with patch.object(elasticsearch_core_instance.client.cluster, 'health') as mock_health, \\\n            patch.object(elasticsearch_core_instance.client, 'search') as mock_search:\n        mock_health.return_value = {\"status\": \"yellow\"}\n        mock_search.return_value = {\"hits\": {\"total\": {\"value\": 0}}}\n\n        result = elasticsearch_core_instance._ensure_index_ready(\"test_index\", timeout=10)\n\n        assert result is True\n        mock_health.assert_called_once()\n        mock_search.assert_called_once()\n\n\ndef test_ensure_index_ready_red_status_continues_loop(elasticsearch_core_instance):\n    \"\"\"Test _ensure_index_ready continues loop when health status is red.\"\"\"\n    import time as time_module\n\n    with patch.object(elasticsearch_core_instance.client.cluster, 'health') as mock_health, \\\n            patch.object(elasticsearch_core_instance.client, 'search') as mock_search, \\\n            patch('time.time') as mock_time:\n        # First call returns red, second call returns green\n        mock_health.side_effect = [\n            {\"status\": \"red\"},\n            {\"status\": \"green\"}\n        ]\n        mock_search.return_value = {\"hits\": {\"total\": {\"value\": 0}}}\n\n        # Mock time to simulate elapsed time\n        call_count = [0]\n        def time_side_effect():\n            call_count[0] += 1\n            if call_count[0] == 1:\n                return 1000.0  # start_time\n            elif call_count[0] == 2:\n                return 1000.5  # First loop iteration (less than timeout)\n            else:\n                return 1010.0  # Second iteration (exceeds timeout)\n\n        mock_time.side_effect = time_side_effect\n\n        result = elasticsearch_core_instance._ensure_index_ready(\"test_index\", timeout=5)\n\n        # Should return False because timeout was exceeded\n        assert result is False\n\n\ndef test_ensure_index_ready_timeout(elasticsearch_core_instance, caplog):\n    \"\"\"Test _ensure_index_ready returns False when timeout is exceeded.\"\"\"\n    import time as time_module\n\n    with patch.object(elasticsearch_core_instance.client.cluster, 'health') as mock_health, \\\n            patch('time.time') as mock_time, \\\n            patch('time.sleep') as mock_sleep:\n        # Always return red status so it keeps looping\n        mock_health.return_value = {\"status\": \"red\"}\n\n        # Mock time to simulate timeout\n        mock_time.side_effect = [1000.0, 1000.1, 1005.1, 1005.2, 1010.1]  # Simulates timeout exceeded\n\n        result = elasticsearch_core_instance._ensure_index_ready(\"test_index\", timeout=5)\n\n        assert result is False\n        assert any(f\"Index test_index may not be fully ready after 5s\" in m for m in caplog.messages)\n\n\ndef test_ensure_index_ready_health_exception_continues_loop(elasticsearch_core_instance):\n    \"\"\"Test _ensure_index_ready continues loop when health check throws exception.\"\"\"\n    import time as time_module\n\n    with patch.object(elasticsearch_core_instance.client.cluster, 'health') as mock_health, \\\n            patch.object(elasticsearch_core_instance.client, 'search') as mock_search, \\\n            patch('time.time') as mock_time, \\\n            patch('time.sleep') as mock_sleep:\n        # First call throws exception, second call returns green\n        mock_health.side_effect = [\n            Exception(\"Connection failed\"),\n            {\"status\": \"green\"}\n        ]\n        mock_search.return_value = {\"hits\": {\"total\": {\"value\": 0}}}\n\n        # Mock time to simulate elapsed time\n        call_count = [0]\n        def time_side_effect():\n            call_count[0] += 1\n            if call_count[0] == 1:\n                return 1000.0  # start_time\n            elif call_count[0] == 2:\n                return 1000.05  # First loop (exception caught, short sleep)\n            elif call_count[0] == 3:\n                return 1000.1  # After sleep\n            else:\n                return 1001.0  # After green status returned\n\n        mock_time.side_effect = time_side_effect\n\n        result = elasticsearch_core_instance._ensure_index_ready(\"test_index\", timeout=10)\n\n        assert result is True\n        assert mock_health.call_count == 2\n        mock_sleep.assert_called_once_with(0.1)\n\n\ndef test_ensure_index_ready_search_exception_on_double_check(elasticsearch_core_instance):\n    \"\"\"Test _ensure_index_ready handles exception during search double check.\"\"\"\n    import time as time_module\n\n    with patch.object(elasticsearch_core_instance.client.cluster, 'health') as mock_health, \\\n            patch.object(elasticsearch_core_instance.client, 'search') as mock_search, \\\n            patch('time.time') as mock_time, \\\n            patch('time.sleep') as mock_sleep:\n        # Health returns green but search fails\n        mock_health.return_value = {\"status\": \"green\"}\n        mock_search.side_effect = Exception(\"Search failed\")\n\n        # Mock time to simulate timeout after retry\n        call_count = [0]\n        def time_side_effect():\n            call_count[0] += 1\n            if call_count[0] == 1:\n                return 1000.0  # start_time\n            elif call_count[0] == 2:\n                return 1000.05  # First loop (search fails, short sleep)\n            else:\n                return 1005.0  # Timeout\n\n        mock_time.side_effect = time_side_effect\n\n        result = elasticsearch_core_instance._ensure_index_ready(\"test_index\", timeout=5)\n\n        # Should timeout after retries\n        assert result is False\n\n\n# ----------------------------------------------------------------------------\n# Tests for document operations\n# ----------------------------------------------------------------------------\n\ndef test_vectorize_documents_empty_list(elasticsearch_core_instance):\n    \"\"\"Test indexing an empty list of documents.\"\"\"\n    mock_embedding_model = MagicMock()\n\n    result = elasticsearch_core_instance.vectorize_documents(\n        \"test_index\",\n        mock_embedding_model,\n        [],\n        content_field=\"content\"\n    )\n\n    assert result == 0\n\n\ndef test_vectorize_documents_small_batch(elasticsearch_core_instance):\n    \"\"\"Test indexing a small batch of documents (< 64).\"\"\"\n    mock_embedding_model = MagicMock()\n    mock_embedding_model.get_embeddings.return_value = [[0.1] * 1024] * 3\n    mock_embedding_model.embedding_model_name = \"test-model\"\n\n    documents = [\n        {\"content\": \"Test content 1\", \"title\": \"Test 1\"},\n        {\"content\": \"Test content 2\", \"title\": \"Test 2\"},\n        {\"content\": \"Test content 3\", \"title\": \"Test 3\"}\n    ]\n\n    with patch.object(elasticsearch_core_instance.client, 'bulk') as mock_bulk, \\\n            patch('time.strftime') as mock_strftime, \\\n            patch('time.time') as mock_time:\n\n        mock_strftime.side_effect = lambda fmt, t: \"2025-01-15T10:30:00\" if \"T\" in fmt else \"2025-01-15\"\n        mock_time.return_value = 1642234567\n        mock_bulk.return_value = {\"errors\": False, \"items\": []}\n\n        result = elasticsearch_core_instance.vectorize_documents(\n            \"test_index\",\n            mock_embedding_model,\n            documents,\n            content_field=\"content\"\n        )\n\n        assert result == 3\n        mock_embedding_model.get_embeddings.assert_called_once()\n        mock_bulk.assert_called_once()\n\ndef test_small_batch_progress_callback_exception(elasticsearch_core_instance, caplog):\n    \"\"\"Progress callback errors should be logged without failing the insert.\"\"\"\n    mock_embedding_model = MagicMock()\n    mock_embedding_model.get_embeddings.return_value = [[0.1] * 3]\n    mock_embedding_model.embedding_model_name = \"m\"\n\n    documents = [{\"content\": \"a\"}]\n\n    def bad_progress(_, __):\n        raise RuntimeError(\"boom\")\n\n    with patch.object(elasticsearch_core_instance.client, \"bulk\") as mock_bulk, \\\n         patch(\"time.strftime\", lambda *a, **k: \"2025-01-15T10:30:00\"), \\\n         patch(\"time.time\", lambda: 1642234567):\n        mock_bulk.return_value = {\"errors\": False, \"items\": []}\n        result = elasticsearch_core_instance._small_batch_insert(\n            \"idx\", documents, \"content\", mock_embedding_model, progress_callback=bad_progress\n        )\n\n    assert result == 1\n    assert any(\"Progress callback failed in small batch\" in m for m in caplog.messages)\n\ndef test_small_batch_error_path_logs_and_raises(elasticsearch_core_instance, caplog):\n    \"\"\"Small batch should log errors and re-raise when bulk fails.\"\"\"\n    mock_embedding_model = MagicMock()\n    mock_embedding_model.get_embeddings.return_value = [[0.1] * 3]\n    mock_embedding_model.embedding_model_name = \"m\"\n\n    documents = [{\"content\": \"x\"}]\n\n    with patch.object(elasticsearch_core_instance, \"client\") as mock_client, \\\n         patch(\"time.strftime\", lambda *a, **k: \"2025-01-15T10:30:00\"), \\\n         patch(\"time.time\", lambda: 1642234567):\n        mock_client.bulk.side_effect = RuntimeError(\"bulk boom\")\n        with pytest.raises(RuntimeError):\n            elasticsearch_core_instance._small_batch_insert(\n                \"idx\", documents, \"content\", mock_embedding_model\n            )\n\n    assert any(\"Small batch insert failed: bulk boom\" in m for m in caplog.messages)\n\n\ndef test_vectorize_documents_large_batch(elasticsearch_core_instance):\n    \"\"\"Test indexing a large batch of documents (>= 64).\"\"\"\n    mock_embedding_model = MagicMock()\n    mock_embedding_model.get_embeddings.return_value = [[0.1] * 1024] * 64\n    mock_embedding_model.embedding_model_name = \"test-model\"\n\n    documents = [\n        {\"content\": f\"Test content {i}\", \"title\": f\"Test {i}\"}\n        for i in range(100)\n    ]\n\n    with patch.object(elasticsearch_core_instance.client, 'bulk') as mock_bulk, \\\n            patch.object(elasticsearch_core_instance, '_force_refresh_with_retry') as mock_refresh, \\\n            patch('time.strftime') as mock_strftime, \\\n            patch('time.time') as mock_time, \\\n            patch('time.sleep'):\n\n        mock_strftime.side_effect = lambda fmt, t: \"2025-01-15T10:30:00\" if \"T\" in fmt else \"2025-01-15\"\n        mock_time.return_value = 1642234567\n        mock_bulk.return_value = {\"errors\": False, \"items\": []}\n        mock_refresh.return_value = True\n\n        result = elasticsearch_core_instance.vectorize_documents(\n            \"test_index\",\n            mock_embedding_model,\n            documents,\n            batch_size=64,\n            content_field=\"content\"\n        )\n\n        assert result == 100\n        assert mock_embedding_model.get_embeddings.call_count >= 2\n        mock_bulk.assert_called()\n        mock_refresh.assert_called_once_with(\"test_index\")\n\ndef test_large_batch_progress_callback_invoked(elasticsearch_core_instance):\n    \"\"\"Progress callback should be triggered during embedding phase.\"\"\"\n    mock_embedding_model = MagicMock()\n    mock_embedding_model.embedding_model_name = \"test-model\"\n    mock_embedding_model.get_embeddings.return_value = [[0.1], [0.2]]\n\n    docs = [{\"content\": \"a\"}, {\"content\": \"b\"}]\n    progress_calls = []\n\n    with patch.object(elasticsearch_core_instance.client, \"bulk\") as mock_bulk, \\\n         patch.object(elasticsearch_core_instance, \"_force_refresh_with_retry\"):\n        mock_bulk.return_value = {\"errors\": False, \"items\": []}\n        elasticsearch_core_instance._large_batch_insert(\n            \"idx\", docs, batch_size=5, content_field=\"content\",\n            embedding_model=mock_embedding_model, embedding_batch_size=2,\n            progress_callback=lambda done, total: progress_calls.append((done, total))\n        )\n\n    assert progress_calls == [(2, 2)]\n\ndef test_large_batch_progress_callback_exception_logged(elasticsearch_core_instance, caplog):\n    \"\"\"Embedding progress callback errors should be logged and not stop indexing.\"\"\"\n    mock_embedding_model = MagicMock()\n    mock_embedding_model.embedding_model_name = \"test-model\"\n    mock_embedding_model.get_embeddings.return_value = [[0.1]]\n\n    docs = [{\"content\": \"a\"}]\n\n    def bad_progress(_, __):\n        raise RuntimeError(\"cb fail\")\n\n    with patch.object(elasticsearch_core_instance.client, \"bulk\") as mock_bulk, \\\n         patch.object(elasticsearch_core_instance, \"_force_refresh_with_retry\"):\n        mock_bulk.return_value = {\"errors\": False, \"items\": []}\n        elasticsearch_core_instance._large_batch_insert(\n            \"idx\", docs, batch_size=1, content_field=\"content\",\n            embedding_model=mock_embedding_model, embedding_batch_size=1,\n            progress_callback=bad_progress\n        )\n\n    assert any(\"Progress callback failed during embedding\" in m for m in caplog.messages)\n\ndef test_large_batch_retry_logs_warning(elasticsearch_core_instance, caplog):\n    \"\"\"Embedding retries should emit warnings before succeeding.\"\"\"\n    mock_embedding_model = MagicMock()\n    mock_embedding_model.embedding_model_name = \"test-model\"\n    call_counter = {\"n\": 0}\n\n    def get_embeddings(_):\n        call_counter[\"n\"] += 1\n        if call_counter[\"n\"] < 3:\n            raise RuntimeError(\"embed fail\")\n        return [[0.1]]\n\n    mock_embedding_model.get_embeddings.side_effect = get_embeddings\n\n    docs = [{\"content\": \"a\"}]\n\n    with patch.object(elasticsearch_core_instance.client, \"bulk\") as mock_bulk, \\\n         patch.object(elasticsearch_core_instance, \"_force_refresh_with_retry\"), \\\n         patch(\"time.sleep\", lambda *a, **k: None):\n        mock_bulk.return_value = {\"errors\": False, \"items\": []}\n        elasticsearch_core_instance._large_batch_insert(\n            \"idx\", docs, batch_size=1, content_field=\"content\",\n            embedding_model=mock_embedding_model, embedding_batch_size=1,\n        )\n\n    assert call_counter[\"n\"] == 3\n    assert any(\"Embedding API error (attempt 1/3)\" in m for m in caplog.messages)\n\n\ndef test_delete_documents_success(elasticsearch_core_instance):\n    \"\"\"Test deleting documents by path_or_url successfully.\"\"\"\n    with patch.object(elasticsearch_core_instance.client, 'delete_by_query') as mock_delete:\n        mock_delete.return_value = {\"deleted\": 5}\n\n        result = elasticsearch_core_instance.delete_documents(\n            \"test_index\",\n            \"/path/to/file.pdf\"\n        )\n\n        assert result == 5\n        mock_delete.assert_called_once()\n\n\ndef test_create_chunk_success(elasticsearch_core_instance):\n    \"\"\"Test creating a single chunk document.\"\"\"\n    elasticsearch_core_instance.client = MagicMock()\n    elasticsearch_core_instance.client.index.return_value = {\n        \"_id\": \"es-id-1\",\n        \"result\": \"created\",\n        \"_version\": 1,\n    }\n\n    payload = {\"id\": \"chunk-1\", \"content\": \"A\"}\n    result = elasticsearch_core_instance.create_chunk(\"kb-index\", payload)\n\n    assert result[\"id\"] == \"es-id-1\"\n    assert result[\"result\"] == \"created\"\n    elasticsearch_core_instance.client.index.assert_called_once()\n\n\ndef test_update_chunk_success(elasticsearch_core_instance):\n    \"\"\"Test updating an existing chunk document.\"\"\"\n    elasticsearch_core_instance.client = MagicMock()\n    with patch.object(\n        elasticsearch_core_instance,\n        \"_resolve_chunk_document_id\",\n        return_value=\"es-id-1\",\n    ):\n        elasticsearch_core_instance.client.update.return_value = {\n            \"_id\": \"es-id-1\",\n            \"result\": \"updated\",\n            \"_version\": 2,\n        }\n\n        updates = {\"content\": \"updated\"}\n        result = elasticsearch_core_instance.update_chunk(\n            \"kb-index\", \"chunk-1\", updates\n        )\n\n        assert result[\"id\"] == \"es-id-1\"\n        assert result[\"result\"] == \"updated\"\n        elasticsearch_core_instance.client.update.assert_called_once()\n\n\ndef test_delete_chunk_success(elasticsearch_core_instance):\n    \"\"\"Test deleting a chunk document successfully.\"\"\"\n    elasticsearch_core_instance.client = MagicMock()\n    with patch.object(\n        elasticsearch_core_instance,\n        \"_resolve_chunk_document_id\",\n        return_value=\"es-id-1\",\n    ):\n        elasticsearch_core_instance.client.delete.return_value = {\n            \"result\": \"deleted\"\n        }\n\n        result = elasticsearch_core_instance.delete_chunk(\"kb-index\", \"chunk-1\")\n\n        assert result is True\n        elasticsearch_core_instance.client.delete.assert_called_once()\n\n\ndef test_delete_chunk_not_found(elasticsearch_core_instance):\n    \"\"\"Test deleting a missing chunk returns False.\"\"\"\n    elasticsearch_core_instance.client = MagicMock()\n    with patch.object(\n        elasticsearch_core_instance,\n        \"_resolve_chunk_document_id\",\n        side_effect=exceptions.NotFoundError(404, \"not found\", {}),\n    ):\n        result = elasticsearch_core_instance.delete_chunk(\"kb-index\", \"missing\")\n\n        assert result is False\n\n\ndef test_create_chunk_exception(elasticsearch_core_instance):\n    \"\"\"Test create_chunk raises exception when client.index fails.\"\"\"\n    elasticsearch_core_instance.client = MagicMock()\n    elasticsearch_core_instance.client.index.side_effect = Exception(\"Index operation failed\")\n\n    payload = {\"id\": \"chunk-1\", \"content\": \"A\"}\n\n    with pytest.raises(Exception) as exc_info:\n        elasticsearch_core_instance.create_chunk(\"kb-index\", payload)\n\n    assert \"Index operation failed\" in str(exc_info.value)\n    elasticsearch_core_instance.client.index.assert_called_once()\n\n\ndef test_update_chunk_exception_from_resolve(elasticsearch_core_instance):\n    \"\"\"Test update_chunk raises exception when _resolve_chunk_document_id fails.\"\"\"\n    elasticsearch_core_instance.client = MagicMock()\n    with patch.object(\n        elasticsearch_core_instance,\n        \"_resolve_chunk_document_id\",\n        side_effect=Exception(\"Resolve failed\"),\n    ):\n        updates = {\"content\": \"updated\"}\n\n        with pytest.raises(Exception) as exc_info:\n            elasticsearch_core_instance.update_chunk(\"kb-index\", \"chunk-1\", updates)\n\n        assert \"Resolve failed\" in str(exc_info.value)\n        elasticsearch_core_instance.client.update.assert_not_called()\n\n\ndef test_update_chunk_exception_from_update(elasticsearch_core_instance):\n    \"\"\"Test update_chunk raises exception when client.update fails.\"\"\"\n    elasticsearch_core_instance.client = MagicMock()\n    with patch.object(\n        elasticsearch_core_instance,\n        \"_resolve_chunk_document_id\",\n        return_value=\"es-id-1\",\n    ):\n        elasticsearch_core_instance.client.update.side_effect = Exception(\"Update operation failed\")\n\n        updates = {\"content\": \"updated\"}\n\n        with pytest.raises(Exception) as exc_info:\n            elasticsearch_core_instance.update_chunk(\"kb-index\", \"chunk-1\", updates)\n\n        assert \"Update operation failed\" in str(exc_info.value)\n        elasticsearch_core_instance.client.update.assert_called_once()\n\n\ndef test_delete_chunk_exception_from_resolve(elasticsearch_core_instance):\n    \"\"\"Test delete_chunk raises exception when _resolve_chunk_document_id fails with non-NotFoundError.\"\"\"\n    elasticsearch_core_instance.client = MagicMock()\n    with patch.object(\n        elasticsearch_core_instance,\n        \"_resolve_chunk_document_id\",\n        side_effect=Exception(\"Resolve failed\"),\n    ):\n        with pytest.raises(Exception) as exc_info:\n            elasticsearch_core_instance.delete_chunk(\"kb-index\", \"chunk-1\")\n\n        assert \"Resolve failed\" in str(exc_info.value)\n        elasticsearch_core_instance.client.delete.assert_not_called()\n\n\ndef test_delete_chunk_exception_from_delete(elasticsearch_core_instance):\n    \"\"\"Test delete_chunk raises exception when client.delete fails with non-NotFoundError.\"\"\"\n    elasticsearch_core_instance.client = MagicMock()\n    with patch.object(\n        elasticsearch_core_instance,\n        \"_resolve_chunk_document_id\",\n        return_value=\"es-id-1\",\n    ):\n        elasticsearch_core_instance.client.delete.side_effect = Exception(\"Delete operation failed\")\n\n        with pytest.raises(Exception) as exc_info:\n            elasticsearch_core_instance.delete_chunk(\"kb-index\", \"chunk-1\")\n\n        assert \"Delete operation failed\" in str(exc_info.value)\n        elasticsearch_core_instance.client.delete.assert_called_once()\n\n\ndef test_resolve_chunk_document_id_direct_hit(elasticsearch_core_instance):\n    \"\"\"Test _resolve_chunk_document_id returns given id when ES _id exists.\"\"\"\n    elasticsearch_core_instance.client = MagicMock()\n    elasticsearch_core_instance.client.get.return_value = {}\n\n    doc_id = elasticsearch_core_instance._resolve_chunk_document_id(\n        \"kb-index\", \"chunk-1\"\n    )\n\n    assert doc_id == \"chunk-1\"\n    elasticsearch_core_instance.client.search.assert_not_called()\n\n\ndef test_resolve_chunk_document_id_via_search(elasticsearch_core_instance):\n    \"\"\"Test _resolve_chunk_document_id falls back to searching by stored id.\"\"\"\n    elasticsearch_core_instance.client = MagicMock()\n    elasticsearch_core_instance.client.get.side_effect = exceptions.NotFoundError(\n        404, \"not found\", {}\n    )\n    elasticsearch_core_instance.client.search.return_value = {\n        \"hits\": {\"hits\": [{\"_id\": \"es-id-1\"}]}\n    }\n\n    doc_id = elasticsearch_core_instance._resolve_chunk_document_id(\n        \"kb-index\", \"chunk-1\"\n    )\n\n    assert doc_id == \"es-id-1\"\n    elasticsearch_core_instance.client.search.assert_called_once()\n\n\ndef test_resolve_chunk_document_id_not_found(elasticsearch_core_instance):\n    \"\"\"Test _resolve_chunk_document_id raises when no matching document is found.\"\"\"\n    elasticsearch_core_instance.client = MagicMock()\n    elasticsearch_core_instance.client.get.side_effect = exceptions.NotFoundError(\n        404, \"not found\", {}\n    )\n    elasticsearch_core_instance.client.search.return_value = {\n        \"hits\": {\"hits\": []}\n    }\n\n    with pytest.raises(exceptions.NotFoundError):\n        elasticsearch_core_instance._resolve_chunk_document_id(\n            \"kb-index\", \"missing\"\n        )\n\n\ndef test_get_index_chunks_success(elasticsearch_core_instance):\n    \"\"\"Test fetching chunks via scroll API.\"\"\"\n    elasticsearch_core_instance.client = MagicMock()\n    elasticsearch_core_instance.client.count.return_value = {\"count\": 2}\n    elasticsearch_core_instance.client.search.return_value = {\n        \"_scroll_id\": \"scroll123\",\n        \"hits\": {\n            \"hits\": [\n                {\"_id\": \"doc-1\", \"_source\": {\"id\": \"chunk-1\", \"content\": \"A\"}},\n                {\"_id\": \"doc-2\", \"_source\": {\"content\": \"B\"}}\n            ]\n        }\n    }\n    elasticsearch_core_instance.client.scroll.return_value = {\n        \"_scroll_id\": \"scroll123\",\n        \"hits\": {\"hits\": []}\n    }\n\n    result = elasticsearch_core_instance.get_index_chunks(\"kb-index\")\n\n    assert result[\"chunks\"] == [\n        {\"id\": \"chunk-1\", \"content\": \"A\"},\n        {\"content\": \"B\", \"id\": \"doc-2\"}\n    ]\n    assert result[\"total\"] == 2\n    elasticsearch_core_instance.client.search.assert_called_once()\n    elasticsearch_core_instance.client.scroll.assert_called_once_with(scroll_id=\"scroll123\", scroll=\"2m\")\n    elasticsearch_core_instance.client.clear_scroll.assert_called_once_with(scroll_id=\"scroll123\")\n\n\ndef test_get_index_chunks_paginated(elasticsearch_core_instance):\n    \"\"\"Test fetching chunks with pagination parameters.\"\"\"\n    elasticsearch_core_instance.client = MagicMock()\n    elasticsearch_core_instance.client.count.return_value = {\"count\": 5}\n    elasticsearch_core_instance.client.search.return_value = {\n        \"hits\": {\n            \"hits\": [\n                {\"_id\": \"doc-2\", \"_source\": {\"content\": \"B\"}},\n            ]\n        }\n    }\n\n    result = elasticsearch_core_instance.get_index_chunks(\n        \"kb-index\", page=2, page_size=1)\n\n    assert result[\"chunks\"] == [{\"content\": \"B\", \"id\": \"doc-2\"}]\n    assert result[\"page\"] == 2\n    assert result[\"page_size\"] == 1\n    assert result[\"total\"] == 5\n    elasticsearch_core_instance.client.scroll.assert_not_called()\n    elasticsearch_core_instance.client.clear_scroll.assert_not_called()\n\n\ndef test_get_index_chunks_not_found(elasticsearch_core_instance):\n    \"\"\"Test fetching chunks when index does not exist.\"\"\"\n    elasticsearch_core_instance.client = MagicMock()\n    elasticsearch_core_instance.client.count.side_effect = exceptions.NotFoundError(\n        404, \"not found\", {})\n\n    chunks = elasticsearch_core_instance.get_index_chunks(\"missing-index\")\n\n    assert chunks == {\"chunks\": [], \"total\": 0,\n                      \"page\": None, \"page_size\": None}\n    elasticsearch_core_instance.client.clear_scroll.assert_not_called()\n\n\ndef test_get_index_chunks_cleanup_failure(elasticsearch_core_instance):\n    \"\"\"Test cleanup warning path when clear_scroll raises.\"\"\"\n    elasticsearch_core_instance.client = MagicMock()\n    elasticsearch_core_instance.client.count.return_value = {\"count\": 1}\n    elasticsearch_core_instance.client.search.return_value = {\n        \"_scroll_id\": \"scroll123\",\n        \"hits\": {\n            \"hits\": [\n                {\"_id\": \"doc-1\", \"_source\": {\"content\": \"A\"}}\n            ]\n        }\n    }\n    elasticsearch_core_instance.client.scroll.return_value = {\n        \"_scroll_id\": \"scroll123\",\n        \"hits\": {\"hits\": []}\n    }\n    elasticsearch_core_instance.client.clear_scroll.side_effect = Exception(\"cleanup error\")\n\n    chunks = elasticsearch_core_instance.get_index_chunks(\"kb-index\")\n\n    assert len(chunks[\"chunks\"]) == 1\n    assert chunks[\"chunks\"][0][\"id\"] == \"doc-1\"\n    elasticsearch_core_instance.client.clear_scroll.assert_called_once_with(scroll_id=\"scroll123\")\n\n\n# ----------------------------------------------------------------------------\n# Tests for search operations\n# ----------------------------------------------------------------------------\n\ndef test_accurate_search_success(elasticsearch_core_instance):\n    \"\"\"Test accurate search with text matching.\"\"\"\n    with patch.object(elasticsearch_core_instance, 'exec_query') as mock_exec, \\\n            patch('sdk.nexent.vector_database.elasticsearch_core.calculate_term_weights') as mock_weights, \\\n            patch('sdk.nexent.vector_database.elasticsearch_core.build_weighted_query') as mock_build:\n\n        mock_weights.return_value = {\"test\": 1.0}\n        mock_build.return_value = {\n            \"query\": {\"match\": {\"content\": \"test query\"}}}\n        mock_exec.return_value = [\n            {\n                \"score\": 10.5,\n                \"document\": {\"content\": \"Test document\", \"title\": \"Test\"},\n                \"index\": \"test_index\"\n            }\n        ]\n\n        result = elasticsearch_core_instance.accurate_search(\n            [\"test_index\"],\n            \"test query\",\n            top_k=5\n        )\n\n        assert len(result) == 1\n        assert result[0][\"score\"] == 10.5\n        mock_weights.assert_called_once_with(\"test query\")\n        mock_build.assert_called_once_with(\"test query\", {\"test\": 1.0})\n        mock_exec.assert_called_once()\n\n\ndef test_accurate_search_builds_multi_index_query(elasticsearch_core_instance):\n    \"\"\"Ensure accurate_search joins indices and applies top_k sizing.\"\"\"\n    with patch.object(elasticsearch_core_instance, 'exec_query') as mock_exec, \\\n            patch('sdk.nexent.vector_database.elasticsearch_core.calculate_term_weights') as mock_weights, \\\n            patch('sdk.nexent.vector_database.elasticsearch_core.build_weighted_query') as mock_build:\n\n        mock_weights.return_value = {\"test\": 0.5}\n        mock_build.return_value = {\"query\": {\"match_all\": {}}}\n        mock_exec.return_value = []\n\n        elasticsearch_core_instance.accurate_search(\n            [\"index_a\", \"index_b\"],\n            \"multi query\",\n            top_k=7,\n        )\n\n        mock_weights.assert_called_once_with(\"multi query\")\n        mock_build.assert_called_once_with(\"multi query\", {\"test\": 0.5})\n        mock_exec.assert_called_once()\n\n        index_pattern, search_query = mock_exec.call_args[0]\n        assert index_pattern == \"index_a,index_b\"\n        assert search_query[\"size\"] == 7\n        assert search_query[\"_source\"][\"excludes\"] == [\"embedding\"]\n\n\ndef test_semantic_search_success(elasticsearch_core_instance):\n    \"\"\"Test semantic search with vector similarity.\"\"\"\n    mock_embedding_model = MagicMock()\n    mock_embedding_model.get_embeddings.return_value = [[0.1] * 1024]\n\n    with patch.object(elasticsearch_core_instance, 'exec_query') as mock_exec:\n        mock_exec.return_value = [\n            {\n                \"score\": 0.95,\n                \"document\": {\"content\": \"Similar document\", \"title\": \"Doc\"},\n                \"index\": \"test_index\"\n            }\n        ]\n\n        result = elasticsearch_core_instance.semantic_search(\n            [\"test_index\"],\n            \"test query\",\n            mock_embedding_model,\n            top_k=5\n        )\n\n        assert len(result) == 1\n        assert result[0][\"score\"] == 0.95\n        mock_embedding_model.get_embeddings.assert_called_once_with(\n            \"test query\")\n        mock_exec.assert_called_once()\n\n\ndef test_semantic_search_sets_knn_parameters(elasticsearch_core_instance):\n    \"\"\"Ensure semantic_search sets k and num_candidates based on top_k.\"\"\"\n    mock_embedding_model = MagicMock()\n    mock_embedding_model.get_embeddings.return_value = [[0.2] * 8]\n\n    with patch.object(elasticsearch_core_instance, 'exec_query') as mock_exec:\n        mock_exec.return_value = []\n\n        elasticsearch_core_instance.semantic_search(\n            [\"index_x\"],\n            \"query terms\",\n            mock_embedding_model,\n            top_k=4,\n        )\n\n        mock_embedding_model.get_embeddings.assert_called_once_with(\n            \"query terms\")\n        mock_exec.assert_called_once()\n\n        _, search_query = mock_exec.call_args[0]\n        assert search_query[\"knn\"][\"k\"] == 4\n        assert search_query[\"knn\"][\"num_candidates\"] == 8\n        assert search_query[\"size\"] == 4\n        assert search_query[\"_source\"][\"excludes\"] == [\"embedding\"]\n\n\ndef test_hybrid_search_success(elasticsearch_core_instance):\n    \"\"\"Test hybrid search combining accurate and semantic results.\"\"\"\n    mock_embedding_model = MagicMock()\n\n    with patch.object(elasticsearch_core_instance, 'accurate_search') as mock_accurate, \\\n            patch.object(elasticsearch_core_instance, 'semantic_search') as mock_semantic:\n\n        mock_accurate.return_value = [\n            {\n                \"score\": 10.0,\n                \"document\": {\"id\": \"doc1\", \"content\": \"Test doc 1\"},\n                \"index\": \"test_index\"\n            }\n        ]\n\n        mock_semantic.return_value = [\n            {\n                \"score\": 0.9,\n                \"document\": {\"id\": \"doc1\", \"content\": \"Test doc 1\"},\n                \"index\": \"test_index\"\n            },\n            {\n                \"score\": 0.8,\n                \"document\": {\"id\": \"doc2\", \"content\": \"Test doc 2\"},\n                \"index\": \"test_index\"\n            }\n        ]\n\n        result = elasticsearch_core_instance.hybrid_search(\n            [\"test_index\"],\n            \"test query\",\n            mock_embedding_model,\n            top_k=5,\n            weight_accurate=0.3\n        )\n\n        assert len(result) == 2\n        assert all(\"score\" in r for r in result)\n        assert all(\"document\" in r for r in result)\n        mock_accurate.assert_called_once()\n        mock_semantic.assert_called_once()\n\n\ndef test_hybrid_search_with_missing_embeddings_generates_and_stores(elasticsearch_core_instance):\n    \"\"\"\n    Test hybrid search when chunks exist in accurate results but not in semantic results\n    (e.g., manually added chunks without embeddings).\n    The system should generate embeddings, store them in ES, and re-execute semantic search.\n    \"\"\"\n    mock_embedding_model = MagicMock()\n    mock_embedding_model.embedding_model_name = \"test-model\"\n    mock_embedding_model.get_embeddings.return_value = [[0.1] * 1024]\n\n    # Initial accurate search returns doc1, semantic search only returns doc2 (doc1 missing)\n    # This simulates a chunk that was manually added without embedding\n    with patch.object(elasticsearch_core_instance, 'accurate_search') as mock_accurate, \\\n            patch.object(elasticsearch_core_instance, 'semantic_search') as mock_semantic, \\\n            patch.object(elasticsearch_core_instance, 'client') as mock_client:\n\n        # First call: accurate returns doc1 (with content), semantic returns only doc2\n        mock_accurate.return_value = [\n            {\n                \"score\": 10.0,\n                \"document\": {\"id\": \"doc1\", \"content\": \"Test doc 1 - needs embedding\"},\n                \"index\": \"test_index\"\n            }\n        ]\n\n        # First semantic search doesn't find doc1 because it has no embedding\n        mock_semantic.side_effect = [\n            # First call returns doc2 only (doc1 missing because no embedding)\n            [\n                {\n                    \"score\": 0.8,\n                    \"document\": {\"id\": \"doc2\", \"content\": \"Test doc 2\"},\n                    \"index\": \"test_index\"\n                }\n            ],\n            # Second call (after generating embedding) finds doc1\n            [\n                {\n                    \"score\": 0.9,\n                    \"document\": {\"id\": \"doc1\", \"content\": \"Test doc 1 - needs embedding\"},\n                    \"index\": \"test_index\"\n                },\n                {\n                    \"score\": 0.8,\n                    \"document\": {\"id\": \"doc2\", \"content\": \"Test doc 2\"},\n                    \"index\": \"test_index\"\n                }\n            ]\n        ]\n\n        # Mock client.index for storing embedding\n        mock_client.index.return_value = {\"result\": \"created\"}\n\n        result = elasticsearch_core_instance.hybrid_search(\n            [\"test_index\"],\n            \"test query\",\n            mock_embedding_model,\n            top_k=5,\n            weight_accurate=0.3\n        )\n\n        # Verify semantic_search was called twice (initial + after embedding)\n        assert mock_semantic.call_count == 2\n\n        # Verify client.index was called to store the embedding\n        mock_client.index.assert_called_once()\n        call_args = mock_client.index.call_args\n        assert call_args.kwargs[\"id\"] == \"doc1\"\n        assert \"embedding\" in call_args.kwargs[\"document\"]\n\n        # Verify result includes doc1 with semantic_score\n        assert len(result) >= 1\n        doc_ids = [r[\"document\"][\"id\"] for r in result]\n        assert \"doc1\" in doc_ids\n\n\ndef test_hybrid_search_no_missing_embeddings_no_retry(elasticsearch_core_instance):\n    \"\"\"\n    Test hybrid search when all chunks have embeddings (no missing embeddings).\n    Semantic search should only be called once.\n    \"\"\"\n    mock_embedding_model = MagicMock()\n\n    with patch.object(elasticsearch_core_instance, 'accurate_search') as mock_accurate, \\\n            patch.object(elasticsearch_core_instance, 'semantic_search') as mock_semantic:\n\n        # Both searches return the same documents\n        mock_accurate.return_value = [\n            {\n                \"score\": 10.0,\n                \"document\": {\"id\": \"doc1\", \"content\": \"Test doc 1\"},\n                \"index\": \"test_index\"\n            }\n        ]\n\n        mock_semantic.return_value = [\n            {\n                \"score\": 0.9,\n                \"document\": {\"id\": \"doc1\", \"content\": \"Test doc 1\"},\n                \"index\": \"test_index\"\n            }\n        ]\n\n        result = elasticsearch_core_instance.hybrid_search(\n            [\"test_index\"],\n            \"test query\",\n            mock_embedding_model,\n            top_k=5,\n            weight_accurate=0.3\n        )\n\n        # Semantic search should only be called once (no retry needed)\n        assert mock_semantic.call_count == 1\n        assert len(result) == 1\n        assert result[0][\"document\"][\"id\"] == \"doc1\"\n\n\ndef test_hybrid_search_handles_embedding_generation_failure(elasticsearch_core_instance):\n    \"\"\"\n    Test hybrid search when embedding generation fails for chunks without embeddings.\n    The search should still complete (gracefully handle failures).\n    \"\"\"\n    mock_embedding_model = MagicMock()\n    mock_embedding_model.embedding_model_name = \"test-model\"\n    mock_embedding_model.get_embeddings.return_value = []  # Empty embedding\n\n    with patch.object(elasticsearch_core_instance, 'accurate_search') as mock_accurate, \\\n            patch.object(elasticsearch_core_instance, 'semantic_search') as mock_semantic, \\\n            patch.object(elasticsearch_core_instance, 'client') as mock_client:\n\n        mock_accurate.return_value = [\n            {\n                \"score\": 10.0,\n                \"document\": {\"id\": \"doc1\", \"content\": \"Test doc 1\"},\n                \"index\": \"test_index\"\n            }\n        ]\n\n        # Semantic only finds doc1 on second call\n        mock_semantic.side_effect = [\n            [],  # First call: doc1 not found (no embedding)\n            [\n                {\n                    \"score\": 0.9,\n                    \"document\": {\"id\": \"doc1\", \"content\": \"Test doc 1\"},\n                    \"index\": \"test_index\"\n                }\n            ]\n        ]\n\n        mock_client.index.return_value = {\"result\": \"created\"}\n\n        # Should not raise exception even if embedding generation fails initially\n        result = elasticsearch_core_instance.hybrid_search(\n            [\"test_index\"],\n            \"test query\",\n            mock_embedding_model,\n            top_k=5,\n            weight_accurate=0.3\n        )\n\n        # Verify the search completed\n        assert mock_semantic.call_count == 2\n\n\ndef test_hybrid_search_empty_results(elasticsearch_core_instance):\n    \"\"\"Test hybrid search with empty results from both searches.\"\"\"\n    mock_embedding_model = MagicMock()\n\n    with patch.object(elasticsearch_core_instance, 'accurate_search') as mock_accurate, \\\n            patch.object(elasticsearch_core_instance, 'semantic_search') as mock_semantic:\n\n        mock_accurate.return_value = []\n        mock_semantic.return_value = []\n\n        result = elasticsearch_core_instance.hybrid_search(\n            [\"test_index\"],\n            \"test query\",\n            mock_embedding_model,\n            top_k=5,\n            weight_accurate=0.3\n        )\n\n        assert len(result) == 0\n\n\n# ----------------------------------------------------------------------------\n# Tests for statistics and monitoring\n# ----------------------------------------------------------------------------\n\ndef test_get_documents_detail_success(elasticsearch_core_instance):\n    \"\"\"Test getting file list with details.\"\"\"\n    with patch.object(elasticsearch_core_instance.client, 'search') as mock_search:\n        mock_search.return_value = {\n            \"aggregations\": {\n                \"unique_sources\": {\n                    \"buckets\": [\n                        {\n                            \"doc_count\": 3,\n                            \"file_sample\": {\n                                \"hits\": {\n                                    \"hits\": [\n                                        {\n                                            \"_source\": {\n                                                \"path_or_url\": \"/path/to/file1.pdf\",\n                                                \"filename\": \"file1.pdf\",\n                                                \"file_size\": 1024,\n                                                \"create_time\": \"2025-01-15T10:30:00\"\n                                            }\n                                        }\n                                    ]\n                                }\n                            }\n                        }\n                    ]\n                }\n            }\n        }\n\n        result = elasticsearch_core_instance.get_documents_detail(\n            \"test_index\")\n\n        assert len(result) == 1\n        assert result[0][\"path_or_url\"] == \"/path/to/file1.pdf\"\n        assert result[0][\"filename\"] == \"file1.pdf\"\n        assert result[0][\"file_size\"] == 1024\n        assert result[0][\"chunk_count\"] == 3\n        mock_search.assert_called_once()\n\n\ndef test_get_indices_detail_success(elasticsearch_core_instance):\n    \"\"\"Test getting index statistics.\"\"\"\n    with patch.object(elasticsearch_core_instance.client.indices, 'stats') as mock_stats, \\\n            patch.object(elasticsearch_core_instance.client.indices, 'get_settings') as mock_settings, \\\n            patch.object(elasticsearch_core_instance.client, 'search') as mock_search:\n\n        mock_stats.return_value = {\n            \"indices\": {\n                \"test_index\": {\n                    \"primaries\": {\n                        \"docs\": {\"count\": 100},\n                        \"store\": {\"size_in_bytes\": 1024000},\n                        \"search\": {\"query_total\": 50},\n                        \"request_cache\": {\"hit_count\": 25}\n                    }\n                }\n            }\n        }\n\n        mock_settings.return_value = {\n            \"test_index\": {\n                \"settings\": {\n                    \"index\": {\n                        \"creation_date\": \"1642234567000\"\n                    }\n                }\n            }\n        }\n\n        mock_search.return_value = {\n            \"aggregations\": {\n                \"unique_path_or_url_count\": {\"value\": 10},\n                \"process_sources\": {\"buckets\": [{\"key\": \"Unstructured\"}]},\n                \"embedding_models\": {\"buckets\": [{\"key\": \"test-model\"}]}\n            }\n        }\n\n        result = elasticsearch_core_instance.get_indices_detail(\n            [\"test_index\"], embedding_dim=1024)\n\n        assert \"test_index\" in result\n        assert result[\"test_index\"][\"base_info\"][\"doc_count\"] == 10\n        assert result[\"test_index\"][\"base_info\"][\"chunk_count\"] == 100\n        mock_stats.assert_called_once()\n        mock_settings.assert_called_once()\n        mock_search.assert_called_once()\n\n\n# ----------------------------------------------------------------------------\n# Tests for error handling\n# ----------------------------------------------------------------------------\n\ndef test_handle_bulk_errors_with_errors(elasticsearch_core_instance):\n    \"\"\"Test handling bulk operation errors.\"\"\"\n    response = {\n        \"errors\": True,\n        \"items\": [\n            {\n                \"index\": {\n                    \"error\": {\n                        \"type\": \"mapper_parsing_exception\",\n                        \"reason\": \"Failed to parse mapping\"\n                    }\n                }\n            }\n        ]\n    }\n\n    with pytest.raises(Exception) as exc_info:\n        elasticsearch_core_instance._handle_bulk_errors(response)\n\n    err_payload = str(exc_info.value)\n    assert \"Bulk indexing failed: Failed to parse mapping\" in err_payload\n    assert \"es_bulk_failed\" in err_payload\n\n\ndef test_handle_bulk_errors_version_conflict(elasticsearch_core_instance):\n    \"\"\"Test handling version conflict errors (should be ignored).\"\"\"\n    response = {\n        \"errors\": True,\n        \"items\": [\n            {\n                \"index\": {\n                    \"error\": {\n                        \"type\": \"version_conflict_engine_exception\",\n                        \"reason\": \"Version conflict\"\n                    }\n                }\n            }\n        ]\n    }\n\n    # Should not raise exception or log error for version conflicts\n    elasticsearch_core_instance._handle_bulk_errors(response)\n\n\ndef test_handle_bulk_errors_skips_items_without_error(elasticsearch_core_instance):\n    \"\"\"Items without error key should be ignored.\"\"\"\n    response = {\n        \"errors\": True,\n        \"items\": [{\"index\": {}}],\n    }\n    # Should not raise\n    elasticsearch_core_instance._handle_bulk_errors(response)\n\n\ndef test_handle_bulk_errors_dim_mismatch_sets_specific_code(elasticsearch_core_instance):\n    \"\"\"Dense vector dimension mismatch should produce es_dim_mismatch code.\"\"\"\n    response = {\n        \"errors\": True,\n        \"items\": [\n            {\n                \"index\": {\n                    \"error\": {\n                        \"type\": \"illegal_argument_exception\",\n                        \"reason\": \"field [embedding] has different number of dimensions than vector\",\n                        \"caused_by\": {\"reason\": \"dense_vector different number of dimensions\"},\n                    }\n                }\n            }\n        ],\n    }\n\n    with pytest.raises(Exception) as exc_info:\n        elasticsearch_core_instance._handle_bulk_errors(response)\n\n    payload = str(exc_info.value)\n    assert \"es_dim_mismatch\" in payload\n    assert \"Bulk indexing failed\" in payload\n\ndef test_bulk_operation_context(elasticsearch_core_instance):\n    \"\"\"Test bulk operation context manager.\"\"\"\n    with patch.object(elasticsearch_core_instance, '_apply_bulk_settings') as mock_apply, \\\n            patch.object(elasticsearch_core_instance, '_restore_normal_settings') as mock_restore:\n\n        with elasticsearch_core_instance.bulk_operation_context(\"test_index\", estimated_duration=60) as operation_id:\n            assert operation_id is not None\n            assert \"bulk_\" in operation_id\n\n        mock_apply.assert_called_once_with(\"test_index\")\n        mock_restore.assert_called_once_with(\"test_index\")\n\n\ndef test_exec_query_returns_formatted_results(elasticsearch_core_instance):\n    \"\"\"Test exec_query method returns correctly formatted results.\"\"\"\n    with patch.object(elasticsearch_core_instance.client, 'search') as mock_search:\n        mock_search.return_value = {\n            \"hits\": {\n                \"hits\": [\n                    {\n                        \"_score\": 10.5,\n                        \"_source\": {\"content\": \"Test document 1\", \"id\": \"doc1\"},\n                        \"_index\": \"test_index\"\n                    },\n                    {\n                        \"_score\": 8.3,\n                        \"_source\": {\"content\": \"Test document 2\", \"id\": \"doc2\"},\n                        \"_index\": \"test_index\"\n                    }\n                ]\n            }\n        }\n\n        result = elasticsearch_core_instance.exec_query(\"test_index\", {\"query\": {\"match_all\": {}}})\n\n        assert len(result) == 2\n        assert result[0][\"score\"] == 10.5\n        assert result[0][\"document\"][\"content\"] == \"Test document 1\"\n        assert result[0][\"document\"][\"id\"] == \"doc1\"\n        assert result[0][\"index\"] == \"test_index\"\n        assert result[1][\"score\"] == 8.3\n        assert result[1][\"document\"][\"content\"] == \"Test document 2\"\n        assert result[1][\"document\"][\"id\"] == \"doc2\"\n        assert result[1][\"index\"] == \"test_index\"\n        mock_search.assert_called_once_with(index=\"test_index\", body={\"query\": {\"match_all\": {}}})\n\n\ndef test_exec_query_empty_results(elasticsearch_core_instance):\n    \"\"\"Test exec_query method with empty results.\"\"\"\n    with patch.object(elasticsearch_core_instance.client, 'search') as mock_search:\n        mock_search.return_value = {\n            \"hits\": {\n                \"hits\": []\n            }\n        }\n\n        result = elasticsearch_core_instance.exec_query(\"test_index\", {\"query\": {\"match\": {\"content\": \"test\"}}})\n\n        assert result == []\n        mock_search.assert_called_once()\n\n\ndef test_exec_query_with_multi_index_pattern(elasticsearch_core_instance):\n    \"\"\"Test exec_query method with multiple indices.\"\"\"\n    with patch.object(elasticsearch_core_instance.client, 'search') as mock_search:\n        mock_search.return_value = {\n            \"hits\": {\n                \"hits\": [\n                    {\n                        \"_score\": 5.0,\n                        \"_source\": {\"content\": \"Doc from index1\", \"id\": \"doc1\"},\n                        \"_index\": \"index1\"\n                    },\n                    {\n                        \"_score\": 6.0,\n                        \"_source\": {\"content\": \"Doc from index2\", \"id\": \"doc2\"},\n                        \"_index\": \"index2\"\n                    }\n                ]\n            }\n        }\n\n        result = elasticsearch_core_instance.exec_query(\"index1,index2\", {\"query\": {\"match_all\": {}}})\n\n        assert len(result) == 2\n        assert result[0][\"index\"] == \"index1\"\n        assert result[1][\"index\"] == \"index2\"\n        mock_search.assert_called_once_with(index=\"index1,index2\", body={\"query\": {\"match_all\": {}}})\n\n\n# ----------------------------------------------------------------------------\n# Tests for hybrid_search edge cases\n# ----------------------------------------------------------------------------\n\ndef test_hybrid_search_skips_semantic_result_with_missing_fields(elasticsearch_core_instance, caplog):\n    \"\"\"\n    Test hybrid_search skips semantic results with missing required fields (line 1060).\n    When processing semantic_results and a result is missing 'document' field,\n    KeyError should be caught and logged, then continue to next result.\n    \"\"\"\n    mock_embedding_model = MagicMock()\n\n    with patch.object(elasticsearch_core_instance, 'accurate_search') as mock_accurate, \\\n            patch.object(elasticsearch_core_instance, 'semantic_search') as mock_semantic:\n\n        # Accurate returns doc1\n        mock_accurate.return_value = [\n            {\n                \"score\": 10.0,\n                \"document\": {\"id\": \"doc1\", \"content\": \"Test doc 1\"},\n                \"index\": \"test_index\"\n            }\n        ]\n\n        # Semantic returns a result with missing 'document' field (triggers KeyError)\n        # and another valid result\n        mock_semantic.return_value = [\n            {\n                \"score\": 0.9,\n                # Missing \"document\" field - will cause KeyError\n            },\n            {\n                \"score\": 0.8,\n                \"document\": {\"id\": \"doc2\", \"content\": \"Test doc 2\"},\n                \"index\": \"test_index\"\n            }\n        ]\n\n        result = elasticsearch_core_instance.hybrid_search(\n            [\"test_index\"],\n            \"test query\",\n            mock_embedding_model,\n            top_k=5,\n            weight_accurate=0.3\n        )\n\n        # Should complete without exception and include doc2\n        assert len(result) >= 1\n        doc_ids = [r[\"document\"][\"id\"] for r in result]\n        assert \"doc2\" in doc_ids\n        # Warning should be logged for missing field\n        assert any(\"Missing required field in semantic result\" in m for m in caplog.messages)\n\n\ndef test_hybrid_search_stores_embedding_failure_continues_processing(elasticsearch_core_instance, caplog):\n    \"\"\"\n    Test hybrid_search continues processing when storing embedding fails (lines 1101-1104).\n    When client.index raises exception during embedding storage, it should log warning\n    and continue to next document instead of failing the entire search.\n    \"\"\"\n    mock_embedding_model = MagicMock()\n    mock_embedding_model.embedding_model_name = \"test-model\"\n    mock_embedding_model.get_embeddings.return_value = [[0.1] * 1024]\n\n    with patch.object(elasticsearch_core_instance, 'accurate_search') as mock_accurate, \\\n            patch.object(elasticsearch_core_instance, 'semantic_search') as mock_semantic, \\\n            patch.object(elasticsearch_core_instance, 'client') as mock_client:\n\n        # Accurate returns doc1 (will need embedding storage)\n        mock_accurate.return_value = [\n            {\n                \"score\": 10.0,\n                \"document\": {\"id\": \"doc1\", \"content\": \"Test doc 1 - needs embedding\"},\n                \"index\": \"test_index\"\n            }\n        ]\n\n        # Semantic returns empty first (doc1 needs embedding), then returns doc1 after storage\n        mock_semantic.side_effect = [\n            [],  # First call: doc1 not found (no embedding)\n            [\n                {\n                    \"score\": 0.9,\n                    \"document\": {\"id\": \"doc1\", \"content\": \"Test doc 1 - needs embedding\"},\n                    \"index\": \"test_index\"\n                }\n            ]\n        ]\n\n        # First index call fails, second succeeds\n        mock_client.index.side_effect = [\n            Exception(\"Index storage failed\"),  # This should trigger the warning and continue\n            {\"result\": \"created\"}\n        ]\n\n        result = elasticsearch_core_instance.hybrid_search(\n            [\"test_index\"],\n            \"test query\",\n            mock_embedding_model,\n            top_k=5,\n            weight_accurate=0.3\n        )\n\n        # Should complete successfully despite storage failure\n        assert mock_semantic.call_count == 2\n        # Warning should be logged about failed embedding storage\n        assert any(\"Failed to store embedding for chunk doc1\" in m for m in caplog.messages)\n        assert len(result) >= 1\n\n\ndef test_hybrid_search_adds_new_documents_from_semantic_results(elasticsearch_core_instance):\n    \"\"\"\n    Test hybrid_search adds documents from semantic_results that don't exist in accurate results (lines 1124-1133).\n    When processing updated semantic_results, if a doc_id is not in combined_results,\n    it should create a new entry with accurate_score=0.\n    \"\"\"\n    mock_embedding_model = MagicMock()\n\n    with patch.object(elasticsearch_core_instance, 'accurate_search') as mock_accurate, \\\n            patch.object(elasticsearch_core_instance, 'semantic_search') as mock_semantic:\n\n        # Accurate returns doc1\n        mock_accurate.return_value = [\n            {\n                \"score\": 10.0,\n                \"document\": {\"id\": \"doc1\", \"content\": \"Test doc 1\"},\n                \"index\": \"test_index\"\n            }\n        ]\n\n        # Semantic returns doc1 (exists in accurate) AND doc2 (new document, not in accurate)\n        mock_semantic.return_value = [\n            {\n                \"score\": 0.9,\n                \"document\": {\"id\": \"doc1\", \"content\": \"Test doc 1\"},\n                \"index\": \"test_index\"\n            },\n            {\n                \"score\": 0.8,\n                \"document\": {\"id\": \"doc2\", \"content\": \"Test doc 2 - from semantic only\"},\n                \"index\": \"test_index\"\n            }\n        ]\n\n        result = elasticsearch_core_instance.hybrid_search(\n            [\"test_index\"],\n            \"test query\",\n            mock_embedding_model,\n            top_k=5,\n            weight_accurate=0.3\n        )\n\n        # Should include both doc1 and doc2\n        assert len(result) == 2\n        doc_ids = [r[\"document\"][\"id\"] for r in result]\n        assert \"doc1\" in doc_ids\n        assert \"doc2\" in doc_ids\n\n        # Find doc2 in results and verify it has accurate_score=0\n        doc2_result = next(r for r in result if r[\"document\"][\"id\"] == \"doc2\")\n        assert doc2_result[\"scores\"][\"accurate\"] == 0\n\n\ndef test_hybrid_search_missing_embedding_stores_with_model_name(elasticsearch_core_instance):\n    \"\"\"\n    Test that hybrid_search correctly stores embedding_model_name when storing embeddings.\n    \"\"\"\n    mock_embedding_model = MagicMock()\n    mock_embedding_model.embedding_model_name = \"jina-embeddings-v2\"\n    mock_embedding_model.get_embeddings.return_value = [[0.1] * 1024]\n\n    with patch.object(elasticsearch_core_instance, 'accurate_search') as mock_accurate, \\\n            patch.object(elasticsearch_core_instance, 'semantic_search') as mock_semantic, \\\n            patch.object(elasticsearch_core_instance, 'client') as mock_client:\n\n        mock_accurate.return_value = [\n            {\n                \"score\": 10.0,\n                \"document\": {\"id\": \"doc1\", \"content\": \"Test doc 1\"},\n                \"index\": \"test_index\"\n            }\n        ]\n\n        mock_semantic.side_effect = [\n            [],  # First call: doc1 not found\n            [\n                {\n                    \"score\": 0.9,\n                    \"document\": {\"id\": \"doc1\", \"content\": \"Test doc 1\"},\n                    \"index\": \"test_index\"\n                }\n            ]\n        ]\n\n        mock_client.index.return_value = {\"result\": \"created\"}\n\n        result = elasticsearch_core_instance.hybrid_search(\n            [\"test_index\"],\n            \"test query\",\n            mock_embedding_model,\n            top_k=5,\n            weight_accurate=0.3\n        )\n\n        # Verify client.index was called with correct embedding_model_name\n        mock_client.index.assert_called_once()\n        call_args = mock_client.index.call_args\n        assert call_args.kwargs[\"document\"][\"embedding_model_name\"] == \"jina-embeddings-v2\"\n\n\ndef test_hybrid_search_empty_content_skips_embedding_generation(elasticsearch_core_instance, caplog):\n    \"\"\"\n    Test hybrid_search skips embedding generation for chunks with empty content.\n    When chunk_content is empty, the embedding generation should be skipped.\n    \"\"\"\n    mock_embedding_model = MagicMock()\n    mock_embedding_model.embedding_model_name = \"test-model\"\n    mock_embedding_model.get_embeddings.return_value = [[0.1] * 1024]\n\n    with patch.object(elasticsearch_core_instance, 'accurate_search') as mock_accurate, \\\n            patch.object(elasticsearch_core_instance, 'semantic_search') as mock_semantic, \\\n            patch.object(elasticsearch_core_instance, 'client') as mock_client:\n\n        # Accurate returns a doc with empty content\n        mock_accurate.return_value = [\n            {\n                \"score\": 10.0,\n                \"document\": {\"id\": \"doc1\", \"content\": \"\"},  # Empty content\n                \"index\": \"test_index\"\n            }\n        ]\n\n        mock_semantic.return_value = [\n            {\n                \"score\": 0.9,\n                \"document\": {\"id\": \"doc1\", \"content\": \"\"},\n                \"index\": \"test_index\"\n            }\n        ]\n\n        result = elasticsearch_core_instance.hybrid_search(\n            [\"test_index\"],\n            \"test query\",\n            mock_embedding_model,\n            top_k=5,\n            weight_accurate=0.3\n        )\n\n        # client.index should NOT be called because content is empty\n        mock_client.index.assert_not_called()\n        # Should still return result\n        assert len(result) == 1\n\n\ndef test_hybrid_search_empty_index_name_skips_embedding_generation(elasticsearch_core_instance, caplog):\n    \"\"\"\n    Test hybrid_search skips embedding generation when index_name is empty.\n    \"\"\"\n    mock_embedding_model = MagicMock()\n    mock_embedding_model.embedding_model_name = \"test-model\"\n    mock_embedding_model.get_embeddings.return_value = [[0.1] * 1024]\n\n    with patch.object(elasticsearch_core_instance, 'accurate_search') as mock_accurate, \\\n            patch.object(elasticsearch_core_instance, 'semantic_search') as mock_semantic, \\\n            patch.object(elasticsearch_core_instance, 'client') as mock_client:\n\n        # Accurate returns a doc with empty index_name\n        mock_accurate.return_value = [\n            {\n                \"score\": 10.0,\n                \"document\": {\"id\": \"doc1\", \"content\": \"Test content\"},\n                \"index\": \"\"  # Empty index name\n            }\n        ]\n\n        mock_semantic.return_value = [\n            {\n                \"score\": 0.9,\n                \"document\": {\"id\": \"doc1\", \"content\": \"Test content\"},\n                \"index\": \"\"\n            }\n        ]\n\n        result = elasticsearch_core_instance.hybrid_search(\n            [\"test_index\"],\n            \"test query\",\n            mock_embedding_model,\n            top_k=5,\n            weight_accurate=0.3\n        )\n\n        # client.index should NOT be called because index_name is empty\n        mock_client.index.assert_not_called()\n        assert len(result) == 1\n\n\ndef test_hybrid_search_empty_embedding_skips_storage(elasticsearch_core_instance, caplog):\n    \"\"\"\n    Test hybrid_search skips embedding storage when embedding generation returns empty.\n    \"\"\"\n    mock_embedding_model = MagicMock()\n    mock_embedding_model.embedding_model_name = \"test-model\"\n    mock_embedding_model.get_embeddings.return_value = []  # Empty embedding\n\n    with patch.object(elasticsearch_core_instance, 'accurate_search') as mock_accurate, \\\n            patch.object(elasticsearch_core_instance, 'semantic_search') as mock_semantic, \\\n            patch.object(elasticsearch_core_instance, 'client') as mock_client:\n\n        mock_accurate.return_value = [\n            {\n                \"score\": 10.0,\n                \"document\": {\"id\": \"doc1\", \"content\": \"Test content\"},\n                \"index\": \"test_index\"\n            }\n        ]\n\n        mock_semantic.side_effect = [\n            [],  # First call: doc1 not found\n            [\n                {\n                    \"score\": 0.9,\n                    \"document\": {\"id\": \"doc1\", \"content\": \"Test content\"},\n                    \"index\": \"test_index\"\n                }\n            ]\n        ]\n\n        mock_client.index.return_value = {\"result\": \"created\"}\n\n        result = elasticsearch_core_instance.hybrid_search(\n            [\"test_index\"],\n            \"test query\",\n            mock_embedding_model,\n            top_k=5,\n            weight_accurate=0.3\n        )\n\n        # client.index should NOT be called because embedding is empty\n        mock_client.index.assert_not_called()\n        # Should still complete search\n        assert mock_semantic.call_count == 2"
  }
]